Namespace(arch='wideresnet50', batch_size=128, data='/scratch/bzhou/places365_standard', epochs=90, evaluate=False, lr=0.1, momentum=0.9, num_classes=365, pretrained=True, print_freq=10, resume='wideresnet50_latest.pth.tar', start_epoch=0, weight_decay=0.0001, workers=8)
=> creating model 'wideresnet50'
DataParallel (
  (module): ResNet (
    (conv1): Conv2d(3, 64, kernel_size=(7, 7), stride=(2, 2), padding=(3, 3), bias=False)
    (bn1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True)
    (relu): ReLU (inplace)
    (layer1): Sequential (
      (0): Bottleneck (
        (conv1): Conv2d(64, 64, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True)
        (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
        (bn2): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True)
        (conv3): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn3): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True)
        (relu): ReLU (inplace)
        (downsample): Sequential (
          (0): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
          (1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True)
        )
      )
      (1): Bottleneck (
        (conv1): Conv2d(256, 64, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True)
        (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
        (bn2): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True)
        (conv3): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn3): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True)
        (relu): ReLU (inplace)
      )
      (2): Bottleneck (
        (conv1): Conv2d(256, 64, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True)
        (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
        (bn2): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True)
        (conv3): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn3): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True)
        (relu): ReLU (inplace)
      )
    )
    (layer2): Sequential (
      (0): Bottleneck (
        (conv1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True)
        (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)
        (bn2): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True)
        (conv3): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn3): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True)
        (relu): ReLU (inplace)
        (downsample): Sequential (
          (0): Conv2d(256, 512, kernel_size=(1, 1), stride=(2, 2), bias=False)
          (1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True)
        )
      )
      (1): Bottleneck (
        (conv1): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True)
        (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
        (bn2): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True)
        (conv3): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn3): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True)
        (relu): ReLU (inplace)
      )
      (2): Bottleneck (
        (conv1): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True)
        (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
        (bn2): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True)
        (conv3): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn3): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True)
        (relu): ReLU (inplace)
      )
      (3): Bottleneck (
        (conv1): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True)
        (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
        (bn2): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True)
        (conv3): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn3): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True)
        (relu): ReLU (inplace)
      )
    )
    (layer3): Sequential (
      (0): Bottleneck (
        (conv1): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True)
        (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)
        (bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True)
        (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn3): BatchNorm2d(1024, eps=1e-05, momentum=0.1, affine=True)
        (relu): ReLU (inplace)
        (downsample): Sequential (
          (0): Conv2d(512, 1024, kernel_size=(1, 1), stride=(2, 2), bias=False)
          (1): BatchNorm2d(1024, eps=1e-05, momentum=0.1, affine=True)
        )
      )
      (1): Bottleneck (
        (conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True)
        (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
        (bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True)
        (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn3): BatchNorm2d(1024, eps=1e-05, momentum=0.1, affine=True)
        (relu): ReLU (inplace)
      )
      (2): Bottleneck (
        (conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True)
        (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
        (bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True)
        (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn3): BatchNorm2d(1024, eps=1e-05, momentum=0.1, affine=True)
        (relu): ReLU (inplace)
      )
      (3): Bottleneck (
        (conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True)
        (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
        (bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True)
        (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn3): BatchNorm2d(1024, eps=1e-05, momentum=0.1, affine=True)
        (relu): ReLU (inplace)
      )
      (4): Bottleneck (
        (conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True)
        (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
        (bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True)
        (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn3): BatchNorm2d(1024, eps=1e-05, momentum=0.1, affine=True)
        (relu): ReLU (inplace)
      )
      (5): Bottleneck (
        (conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True)
        (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
        (bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True)
        (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn3): BatchNorm2d(1024, eps=1e-05, momentum=0.1, affine=True)
        (relu): ReLU (inplace)
      )
    )
    (layer4): Sequential (
      (0): Bottleneck (
        (conv1): Conv2d(1024, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True)
        (conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)
        (bn2): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True)
        (conv3): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn3): BatchNorm2d(2048, eps=1e-05, momentum=0.1, affine=True)
        (relu): ReLU (inplace)
        (downsample): Sequential (
          (0): Conv2d(1024, 2048, kernel_size=(1, 1), stride=(2, 2), bias=False)
          (1): BatchNorm2d(2048, eps=1e-05, momentum=0.1, affine=True)
        )
      )
      (1): Bottleneck (
        (conv1): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True)
        (conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
        (bn2): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True)
        (conv3): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn3): BatchNorm2d(2048, eps=1e-05, momentum=0.1, affine=True)
        (relu): ReLU (inplace)
      )
      (2): Bottleneck (
        (conv1): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True)
        (conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
        (bn2): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True)
        (conv3): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False)
        (bn3): BatchNorm2d(2048, eps=1e-05, momentum=0.1, affine=True)
        (relu): ReLU (inplace)
      )
    )
    (avgpool): AvgPool2d (size=14, stride=14, padding=0, ceil_mode=False, count_include_pad=True)
    (fc): Linear (2048 -> 365)
  )
)
=> no checkpoint found at 'wideresnet50_latest.pth.tar'
Epoch: [0][0/14090]	Time 25.065 (25.065)	Data 2.772 (2.772)	Loss 6.0695 (6.0695)	Prec@1 0.781 (0.781)	Prec@5 0.781 (0.781)
Epoch: [0][10/14090]	Time 0.721 (3.049)	Data 0.001 (0.253)	Loss 6.9449 (7.7635)	Prec@1 0.000 (0.142)	Prec@5 0.000 (1.065)
Epoch: [0][20/14090]	Time 0.723 (1.950)	Data 0.001 (0.133)	Loss 7.2615 (7.9000)	Prec@1 0.000 (0.149)	Prec@5 0.781 (1.004)
Epoch: [0][30/14090]	Time 0.728 (1.565)	Data 0.001 (0.090)	Loss 6.1562 (7.4178)	Prec@1 0.000 (0.151)	Prec@5 0.781 (1.159)
Epoch: [0][40/14090]	Time 0.722 (1.362)	Data 0.001 (0.068)	Loss 6.2752 (7.1307)	Prec@1 0.000 (0.210)	Prec@5 0.000 (1.258)
Epoch: [0][50/14090]	Time 0.728 (1.244)	Data 0.001 (0.055)	Loss 5.9633 (6.9268)	Prec@1 1.562 (0.260)	Prec@5 5.469 (1.287)
Epoch: [0][60/14090]	Time 0.728 (1.161)	Data 0.001 (0.046)	Loss 5.9029 (6.7673)	Prec@1 0.781 (0.282)	Prec@5 1.562 (1.255)
Epoch: [0][70/14090]	Time 0.901 (1.104)	Data 0.001 (0.040)	Loss 5.9391 (6.6491)	Prec@1 0.000 (0.275)	Prec@5 5.469 (1.375)
Epoch: [0][80/14090]	Time 0.722 (1.061)	Data 0.001 (0.035)	Loss 5.8958 (6.5581)	Prec@1 0.000 (0.270)	Prec@5 2.344 (1.331)
Epoch: [0][90/14090]	Time 0.751 (1.027)	Data 0.001 (0.031)	Loss 5.9699 (6.4867)	Prec@1 0.000 (0.309)	Prec@5 1.562 (1.425)
Epoch: [0][100/14090]	Time 0.726 (1.001)	Data 0.001 (0.028)	Loss 5.9231 (6.4297)	Prec@1 0.000 (0.317)	Prec@5 0.781 (1.431)
Epoch: [0][110/14090]	Time 0.739 (0.979)	Data 0.001 (0.026)	Loss 5.8907 (6.3809)	Prec@1 0.000 (0.324)	Prec@5 1.562 (1.422)
Epoch: [0][120/14090]	Time 0.731 (0.962)	Data 0.001 (0.024)	Loss 5.9400 (6.3420)	Prec@1 0.000 (0.323)	Prec@5 1.562 (1.420)
Epoch: [0][130/14090]	Time 0.750 (0.946)	Data 0.001 (0.022)	Loss 5.9498 (6.3093)	Prec@1 0.781 (0.322)	Prec@5 1.562 (1.455)
Epoch: [0][140/14090]	Time 0.870 (0.934)	Data 0.001 (0.020)	Loss 5.8931 (6.2798)	Prec@1 0.781 (0.332)	Prec@5 0.781 (1.457)
Epoch: [0][150/14090]	Time 0.739 (0.922)	Data 0.001 (0.019)	Loss 5.8966 (6.2540)	Prec@1 0.000 (0.326)	Prec@5 1.562 (1.464)
Epoch: [0][160/14090]	Time 0.725 (0.911)	Data 0.001 (0.018)	Loss 5.8931 (6.2321)	Prec@1 0.000 (0.345)	Prec@5 1.562 (1.490)
Epoch: [0][170/14090]	Time 0.729 (0.903)	Data 0.001 (0.017)	Loss 5.8821 (6.2121)	Prec@1 0.000 (0.338)	Prec@5 0.781 (1.499)
Epoch: [0][180/14090]	Time 0.730 (0.895)	Data 0.001 (0.016)	Loss 5.8814 (6.1943)	Prec@1 0.000 (0.337)	Prec@5 1.562 (1.506)
Epoch: [0][190/14090]	Time 0.727 (0.888)	Data 0.001 (0.015)	Loss 5.8759 (6.1781)	Prec@1 0.000 (0.331)	Prec@5 0.781 (1.542)
Epoch: [0][200/14090]	Time 0.754 (0.882)	Data 0.001 (0.015)	Loss 5.9217 (6.1643)	Prec@1 0.781 (0.326)	Prec@5 3.906 (1.551)
Epoch: [0][210/14090]	Time 0.843 (0.877)	Data 0.001 (0.014)	Loss 5.9018 (6.1521)	Prec@1 0.000 (0.322)	Prec@5 1.562 (1.540)
Epoch: [0][220/14090]	Time 0.773 (0.872)	Data 0.001 (0.013)	Loss 5.8906 (6.1401)	Prec@1 0.781 (0.332)	Prec@5 3.906 (1.587)
Epoch: [0][230/14090]	Time 0.751 (0.867)	Data 0.002 (0.013)	Loss 5.8611 (6.1293)	Prec@1 0.000 (0.331)	Prec@5 3.125 (1.576)
Epoch: [0][240/14090]	Time 0.771 (0.863)	Data 0.001 (0.012)	Loss 5.9017 (6.1195)	Prec@1 0.000 (0.327)	Prec@5 1.562 (1.592)
Epoch: [0][250/14090]	Time 0.781 (0.859)	Data 0.001 (0.012)	Loss 5.9170 (6.1101)	Prec@1 0.000 (0.330)	Prec@5 0.781 (1.591)
Epoch: [0][260/14090]	Time 0.758 (0.856)	Data 0.001 (0.011)	Loss 5.8747 (6.1016)	Prec@1 0.000 (0.323)	Prec@5 2.344 (1.586)
Epoch: [0][270/14090]	Time 0.761 (0.852)	Data 0.001 (0.011)	Loss 5.8810 (6.0937)	Prec@1 0.781 (0.329)	Prec@5 0.781 (1.588)
Epoch: [0][280/14090]	Time 0.864 (0.850)	Data 0.001 (0.011)	Loss 5.9072 (6.0862)	Prec@1 0.000 (0.331)	Prec@5 0.781 (1.576)
Epoch: [0][290/14090]	Time 0.732 (0.847)	Data 0.001 (0.010)	Loss 5.8855 (6.0793)	Prec@1 0.781 (0.336)	Prec@5 0.781 (1.579)
Epoch: [0][300/14090]	Time 0.735 (0.844)	Data 0.001 (0.010)	Loss 5.8671 (6.0726)	Prec@1 0.000 (0.340)	Prec@5 0.781 (1.601)
Epoch: [0][310/14090]	Time 0.745 (0.842)	Data 0.001 (0.010)	Loss 5.8919 (6.0666)	Prec@1 0.000 (0.334)	Prec@5 1.562 (1.595)
Epoch: [0][320/14090]	Time 0.727 (0.839)	Data 0.001 (0.009)	Loss 5.8607 (6.0606)	Prec@1 0.781 (0.343)	Prec@5 1.562 (1.614)
Epoch: [0][330/14090]	Time 0.761 (0.837)	Data 0.001 (0.009)	Loss 5.8747 (6.0551)	Prec@1 0.000 (0.342)	Prec@5 3.125 (1.617)
Epoch: [0][340/14090]	Time 0.730 (0.835)	Data 0.001 (0.009)	Loss 5.9043 (6.0502)	Prec@1 0.000 (0.344)	Prec@5 0.781 (1.611)
Epoch: [0][350/14090]	Time 0.901 (0.833)	Data 0.001 (0.009)	Loss 5.8838 (6.0458)	Prec@1 0.781 (0.345)	Prec@5 2.344 (1.589)
Epoch: [0][360/14090]	Time 0.748 (0.831)	Data 0.001 (0.008)	Loss 5.8932 (6.0410)	Prec@1 0.781 (0.338)	Prec@5 1.562 (1.601)
Epoch: [0][370/14090]	Time 0.766 (0.830)	Data 0.001 (0.008)	Loss 5.8871 (6.0366)	Prec@1 1.562 (0.341)	Prec@5 3.906 (1.613)
Epoch: [0][380/14090]	Time 0.762 (0.828)	Data 0.001 (0.008)	Loss 5.8624 (6.0322)	Prec@1 0.000 (0.349)	Prec@5 0.781 (1.618)
Epoch: [0][390/14090]	Time 0.766 (0.827)	Data 0.001 (0.008)	Loss 5.8718 (6.0284)	Prec@1 0.000 (0.344)	Prec@5 2.344 (1.620)
Epoch: [0][400/14090]	Time 0.755 (0.826)	Data 0.001 (0.008)	Loss 5.8256 (6.0243)	Prec@1 1.562 (0.347)	Prec@5 7.812 (1.635)
Epoch: [0][410/14090]	Time 0.741 (0.824)	Data 0.001 (0.008)	Loss 5.8410 (6.0203)	Prec@1 0.781 (0.354)	Prec@5 2.344 (1.648)
Epoch: [0][420/14090]	Time 0.871 (0.823)	Data 0.001 (0.007)	Loss 5.8910 (6.0167)	Prec@1 0.000 (0.358)	Prec@5 3.125 (1.668)
Epoch: [0][430/14090]	Time 0.738 (0.822)	Data 0.001 (0.007)	Loss 5.8464 (6.0130)	Prec@1 0.781 (0.363)	Prec@5 2.344 (1.675)
Epoch: [0][440/14090]	Time 0.787 (0.820)	Data 0.001 (0.007)	Loss 5.8073 (6.0093)	Prec@1 0.781 (0.363)	Prec@5 1.562 (1.685)
Epoch: [0][450/14090]	Time 0.748 (0.820)	Data 0.001 (0.007)	Loss 5.8611 (6.0061)	Prec@1 0.000 (0.362)	Prec@5 1.562 (1.680)
Epoch: [0][460/14090]	Time 0.743 (0.818)	Data 0.001 (0.007)	Loss 5.8320 (6.0028)	Prec@1 0.781 (0.359)	Prec@5 3.125 (1.683)
Epoch: [0][470/14090]	Time 0.760 (0.818)	Data 0.001 (0.007)	Loss 5.8533 (5.9997)	Prec@1 0.000 (0.365)	Prec@5 1.562 (1.687)
Epoch: [0][480/14090]	Time 0.764 (0.816)	Data 0.001 (0.007)	Loss 5.8744 (5.9967)	Prec@1 0.781 (0.364)	Prec@5 1.562 (1.691)
Epoch: [0][490/14090]	Time 0.865 (0.816)	Data 0.001 (0.006)	Loss 5.9164 (5.9937)	Prec@1 0.000 (0.371)	Prec@5 0.000 (1.701)
Epoch: [0][500/14090]	Time 0.773 (0.815)	Data 0.001 (0.006)	Loss 5.8226 (5.9906)	Prec@1 0.000 (0.371)	Prec@5 3.125 (1.704)
Epoch: [0][510/14090]	Time 0.748 (0.813)	Data 0.001 (0.006)	Loss 5.8429 (5.9876)	Prec@1 0.000 (0.372)	Prec@5 1.562 (1.700)
Epoch: [0][520/14090]	Time 0.764 (0.813)	Data 0.001 (0.006)	Loss 5.8332 (5.9845)	Prec@1 0.781 (0.369)	Prec@5 3.906 (1.711)
Epoch: [0][530/14090]	Time 0.745 (0.812)	Data 0.001 (0.006)	Loss 5.7729 (5.9818)	Prec@1 0.781 (0.371)	Prec@5 3.125 (1.717)
Epoch: [0][540/14090]	Time 0.749 (0.811)	Data 0.000 (0.006)	Loss 5.8309 (5.9791)	Prec@1 0.781 (0.368)	Prec@5 3.125 (1.720)
Epoch: [0][550/14090]	Time 0.746 (0.810)	Data 0.001 (0.006)	Loss 5.8039 (5.9761)	Prec@1 0.000 (0.367)	Prec@5 0.000 (1.726)
Epoch: [0][560/14090]	Time 0.938 (0.810)	Data 0.001 (0.006)	Loss 5.8096 (5.9729)	Prec@1 0.000 (0.370)	Prec@5 3.125 (1.749)
Epoch: [0][570/14090]	Time 0.761 (0.809)	Data 0.001 (0.006)	Loss 5.8177 (5.9701)	Prec@1 0.781 (0.382)	Prec@5 3.125 (1.768)
Epoch: [0][580/14090]	Time 0.760 (0.808)	Data 0.001 (0.006)	Loss 5.8112 (5.9670)	Prec@1 0.781 (0.383)	Prec@5 3.125 (1.775)
Epoch: [0][590/14090]	Time 0.745 (0.808)	Data 0.001 (0.006)	Loss 5.7357 (5.9642)	Prec@1 0.781 (0.390)	Prec@5 4.688 (1.807)
Epoch: [0][600/14090]	Time 0.745 (0.807)	Data 0.001 (0.005)	Loss 5.7567 (5.9610)	Prec@1 0.781 (0.396)	Prec@5 5.469 (1.837)
Epoch: [0][610/14090]	Time 0.743 (0.806)	Data 0.001 (0.005)	Loss 5.8719 (5.9581)	Prec@1 0.000 (0.400)	Prec@5 0.781 (1.854)
Epoch: [0][620/14090]	Time 0.759 (0.806)	Data 0.001 (0.005)	Loss 5.7953 (5.9555)	Prec@1 0.781 (0.408)	Prec@5 3.125 (1.877)
Epoch: [0][630/14090]	Time 0.904 (0.805)	Data 0.001 (0.005)	Loss 5.7700 (5.9527)	Prec@1 0.000 (0.414)	Prec@5 1.562 (1.907)
Epoch: [0][640/14090]	Time 0.743 (0.805)	Data 0.001 (0.005)	Loss 5.7725 (5.9499)	Prec@1 0.781 (0.417)	Prec@5 2.344 (1.931)
Epoch: [0][650/14090]	Time 0.792 (0.804)	Data 0.001 (0.005)	Loss 5.7677 (5.9476)	Prec@1 0.781 (0.420)	Prec@5 3.125 (1.939)
Epoch: [0][660/14090]	Time 0.762 (0.804)	Data 0.001 (0.005)	Loss 5.7019 (5.9449)	Prec@1 0.000 (0.423)	Prec@5 1.562 (1.961)
Epoch: [0][670/14090]	Time 0.735 (0.803)	Data 0.001 (0.005)	Loss 5.7914 (5.9421)	Prec@1 0.781 (0.435)	Prec@5 3.906 (1.989)
Epoch: [0][680/14090]	Time 0.752 (0.803)	Data 0.000 (0.005)	Loss 5.7710 (5.9393)	Prec@1 0.000 (0.438)	Prec@5 4.688 (2.021)
Epoch: [0][690/14090]	Time 0.760 (0.802)	Data 0.001 (0.005)	Loss 5.7836 (5.9368)	Prec@1 0.781 (0.445)	Prec@5 1.562 (2.034)
Epoch: [0][700/14090]	Time 1.060 (0.802)	Data 0.001 (0.005)	Loss 5.7359 (5.9340)	Prec@1 0.781 (0.454)	Prec@5 2.344 (2.058)
Epoch: [0][710/14090]	Time 0.755 (0.802)	Data 0.001 (0.005)	Loss 5.7387 (5.9314)	Prec@1 2.344 (0.460)	Prec@5 5.469 (2.080)
Epoch: [0][720/14090]	Time 0.735 (0.801)	Data 0.001 (0.005)	Loss 5.7375 (5.9290)	Prec@1 0.781 (0.472)	Prec@5 1.562 (2.103)
Epoch: [0][730/14090]	Time 0.783 (0.801)	Data 0.001 (0.005)	Loss 5.7314 (5.9265)	Prec@1 0.781 (0.481)	Prec@5 4.688 (2.124)
Epoch: [0][740/14090]	Time 0.724 (0.800)	Data 0.001 (0.005)	Loss 5.7706 (5.9239)	Prec@1 0.781 (0.489)	Prec@5 1.562 (2.142)
Epoch: [0][750/14090]	Time 0.731 (0.800)	Data 0.001 (0.005)	Loss 5.7592 (5.9219)	Prec@1 0.781 (0.495)	Prec@5 4.688 (2.160)
Epoch: [0][760/14090]	Time 0.758 (0.800)	Data 0.001 (0.004)	Loss 5.6943 (5.9196)	Prec@1 0.000 (0.498)	Prec@5 2.344 (2.173)
Epoch: [0][770/14090]	Time 0.879 (0.799)	Data 0.001 (0.004)	Loss 5.7912 (5.9174)	Prec@1 0.781 (0.498)	Prec@5 2.344 (2.191)
Epoch: [0][780/14090]	Time 0.749 (0.799)	Data 0.001 (0.004)	Loss 5.7170 (5.9149)	Prec@1 0.781 (0.500)	Prec@5 5.469 (2.214)
Epoch: [0][790/14090]	Time 0.751 (0.798)	Data 0.001 (0.004)	Loss 5.7445 (5.9127)	Prec@1 0.781 (0.501)	Prec@5 5.469 (2.240)
Epoch: [0][800/14090]	Time 0.790 (0.798)	Data 0.001 (0.004)	Loss 5.7051 (5.9099)	Prec@1 0.000 (0.511)	Prec@5 4.688 (2.271)
Epoch: [0][810/14090]	Time 0.774 (0.798)	Data 0.001 (0.004)	Loss 5.7920 (5.9077)	Prec@1 0.000 (0.517)	Prec@5 0.000 (2.293)
Epoch: [0][820/14090]	Time 0.771 (0.797)	Data 0.001 (0.004)	Loss 5.7399 (5.9053)	Prec@1 0.000 (0.525)	Prec@5 2.344 (2.309)
Epoch: [0][830/14090]	Time 0.739 (0.797)	Data 0.001 (0.004)	Loss 5.7182 (5.9033)	Prec@1 0.781 (0.526)	Prec@5 4.688 (2.323)
Epoch: [0][840/14090]	Time 0.908 (0.797)	Data 0.001 (0.004)	Loss 5.7084 (5.9010)	Prec@1 1.562 (0.530)	Prec@5 2.344 (2.338)
Epoch: [0][850/14090]	Time 0.727 (0.796)	Data 0.001 (0.004)	Loss 5.6789 (5.8986)	Prec@1 0.781 (0.540)	Prec@5 3.906 (2.365)
Epoch: [0][860/14090]	Time 0.750 (0.796)	Data 0.001 (0.004)	Loss 5.6428 (5.8963)	Prec@1 0.781 (0.541)	Prec@5 3.125 (2.384)
Epoch: [0][870/14090]	Time 0.761 (0.796)	Data 0.001 (0.004)	Loss 5.6910 (5.8940)	Prec@1 0.000 (0.546)	Prec@5 3.906 (2.407)
Epoch: [0][880/14090]	Time 0.759 (0.795)	Data 0.001 (0.004)	Loss 5.6941 (5.8920)	Prec@1 1.562 (0.551)	Prec@5 3.125 (2.422)
Epoch: [0][890/14090]	Time 0.755 (0.795)	Data 0.001 (0.004)	Loss 5.6763 (5.8899)	Prec@1 1.562 (0.559)	Prec@5 5.469 (2.450)
Epoch: [0][900/14090]	Time 0.754 (0.795)	Data 0.001 (0.004)	Loss 5.6561 (5.8879)	Prec@1 0.781 (0.562)	Prec@5 3.906 (2.469)
Epoch: [0][910/14090]	Time 0.903 (0.795)	Data 0.001 (0.004)	Loss 5.7749 (5.8859)	Prec@1 0.781 (0.563)	Prec@5 3.125 (2.486)
Epoch: [0][920/14090]	Time 0.747 (0.794)	Data 0.001 (0.004)	Loss 5.6892 (5.8837)	Prec@1 1.562 (0.567)	Prec@5 4.688 (2.498)
Epoch: [0][930/14090]	Time 0.756 (0.794)	Data 0.001 (0.004)	Loss 5.7129 (5.8818)	Prec@1 0.000 (0.569)	Prec@5 2.344 (2.516)
Epoch: [0][940/14090]	Time 0.759 (0.794)	Data 0.001 (0.004)	Loss 5.6507 (5.8797)	Prec@1 0.000 (0.570)	Prec@5 1.562 (2.531)
Epoch: [0][950/14090]	Time 0.732 (0.793)	Data 0.001 (0.004)	Loss 5.6795 (5.8777)	Prec@1 1.562 (0.576)	Prec@5 6.250 (2.552)
Epoch: [0][960/14090]	Time 0.768 (0.793)	Data 0.001 (0.004)	Loss 5.5809 (5.8755)	Prec@1 0.000 (0.579)	Prec@5 4.688 (2.573)
Epoch: [0][970/14090]	Time 0.781 (0.793)	Data 0.001 (0.004)	Loss 5.6474 (5.8732)	Prec@1 0.000 (0.580)	Prec@5 0.781 (2.584)
Epoch: [0][980/14090]	Time 0.923 (0.793)	Data 0.001 (0.004)	Loss 5.6952 (5.8708)	Prec@1 0.000 (0.588)	Prec@5 3.125 (2.602)
Epoch: [0][990/14090]	Time 0.768 (0.793)	Data 0.001 (0.004)	Loss 5.6407 (5.8684)	Prec@1 0.781 (0.594)	Prec@5 5.469 (2.626)
Epoch: [0][1000/14090]	Time 0.763 (0.792)	Data 0.001 (0.004)	Loss 5.6084 (5.8661)	Prec@1 0.000 (0.595)	Prec@5 3.906 (2.641)
Epoch: [0][1010/14090]	Time 0.772 (0.792)	Data 0.001 (0.004)	Loss 5.6632 (5.8639)	Prec@1 0.781 (0.598)	Prec@5 7.031 (2.661)
Epoch: [0][1020/14090]	Time 0.728 (0.792)	Data 0.001 (0.004)	Loss 5.7118 (5.8619)	Prec@1 0.781 (0.603)	Prec@5 4.688 (2.680)
Epoch: [0][1030/14090]	Time 0.740 (0.792)	Data 0.001 (0.004)	Loss 5.7349 (5.8597)	Prec@1 0.781 (0.608)	Prec@5 4.688 (2.704)
Epoch: [0][1040/14090]	Time 0.751 (0.792)	Data 0.001 (0.003)	Loss 5.6240 (5.8578)	Prec@1 0.000 (0.612)	Prec@5 5.469 (2.730)
Epoch: [0][1050/14090]	Time 0.859 (0.791)	Data 0.001 (0.003)	Loss 5.7067 (5.8554)	Prec@1 0.781 (0.618)	Prec@5 3.906 (2.752)
Epoch: [0][1060/14090]	Time 0.752 (0.791)	Data 0.001 (0.003)	Loss 5.6220 (5.8535)	Prec@1 0.781 (0.620)	Prec@5 2.344 (2.763)
Epoch: [0][1070/14090]	Time 0.762 (0.791)	Data 0.001 (0.003)	Loss 5.6423 (5.8517)	Prec@1 1.562 (0.624)	Prec@5 7.812 (2.784)
Epoch: [0][1080/14090]	Time 0.784 (0.791)	Data 0.001 (0.003)	Loss 5.6387 (5.8492)	Prec@1 0.781 (0.627)	Prec@5 4.688 (2.809)
Epoch: [0][1090/14090]	Time 0.743 (0.790)	Data 0.001 (0.003)	Loss 5.5878 (5.8473)	Prec@1 0.781 (0.634)	Prec@5 2.344 (2.826)
Epoch: [0][1100/14090]	Time 0.752 (0.790)	Data 0.001 (0.003)	Loss 5.8295 (5.8456)	Prec@1 0.000 (0.642)	Prec@5 3.125 (2.852)
Epoch: [0][1110/14090]	Time 0.755 (0.790)	Data 0.001 (0.003)	Loss 5.5547 (5.8433)	Prec@1 2.344 (0.646)	Prec@5 6.250 (2.879)
Epoch: [0][1120/14090]	Time 0.869 (0.790)	Data 0.001 (0.003)	Loss 5.5858 (5.8415)	Prec@1 0.781 (0.652)	Prec@5 3.125 (2.898)
Epoch: [0][1130/14090]	Time 0.759 (0.790)	Data 0.001 (0.003)	Loss 5.7034 (5.8395)	Prec@1 1.562 (0.656)	Prec@5 3.906 (2.912)
Epoch: [0][1140/14090]	Time 0.752 (0.790)	Data 0.001 (0.003)	Loss 5.6054 (5.8373)	Prec@1 2.344 (0.659)	Prec@5 4.688 (2.919)
Epoch: [0][1150/14090]	Time 0.751 (0.789)	Data 0.001 (0.003)	Loss 5.5801 (5.8352)	Prec@1 2.344 (0.672)	Prec@5 4.688 (2.942)
Epoch: [0][1160/14090]	Time 0.767 (0.789)	Data 0.001 (0.003)	Loss 5.6016 (5.8332)	Prec@1 0.781 (0.674)	Prec@5 5.469 (2.957)
Epoch: [0][1170/14090]	Time 0.747 (0.789)	Data 0.001 (0.003)	Loss 5.6644 (5.8311)	Prec@1 1.562 (0.674)	Prec@5 3.906 (2.978)
Epoch: [0][1180/14090]	Time 0.751 (0.789)	Data 0.001 (0.003)	Loss 5.5072 (5.8287)	Prec@1 1.562 (0.676)	Prec@5 6.250 (2.997)
Epoch: [0][1190/14090]	Time 0.838 (0.789)	Data 0.001 (0.003)	Loss 5.4913 (5.8267)	Prec@1 0.000 (0.677)	Prec@5 4.688 (3.004)
Epoch: [0][1200/14090]	Time 0.758 (0.789)	Data 0.001 (0.003)	Loss 5.6057 (5.8242)	Prec@1 1.562 (0.690)	Prec@5 6.250 (3.038)
Epoch: [0][1210/14090]	Time 0.726 (0.788)	Data 0.001 (0.003)	Loss 5.4891 (5.8218)	Prec@1 1.562 (0.699)	Prec@5 8.594 (3.071)
Epoch: [0][1220/14090]	Time 0.732 (0.788)	Data 0.001 (0.003)	Loss 5.5285 (5.8197)	Prec@1 2.344 (0.703)	Prec@5 7.031 (3.092)
Epoch: [0][1230/14090]	Time 0.732 (0.788)	Data 0.001 (0.003)	Loss 5.5645 (5.8177)	Prec@1 1.562 (0.710)	Prec@5 6.250 (3.121)
Epoch: [0][1240/14090]	Time 0.761 (0.788)	Data 0.001 (0.003)	Loss 5.5106 (5.8151)	Prec@1 0.781 (0.718)	Prec@5 5.469 (3.160)
Epoch: [0][1250/14090]	Time 0.733 (0.788)	Data 0.001 (0.003)	Loss 5.5218 (5.8128)	Prec@1 0.781 (0.722)	Prec@5 3.125 (3.181)
Epoch: [0][1260/14090]	Time 0.885 (0.788)	Data 0.001 (0.003)	Loss 5.4298 (5.8104)	Prec@1 2.344 (0.727)	Prec@5 6.250 (3.207)
Epoch: [0][1270/14090]	Time 0.762 (0.787)	Data 0.001 (0.003)	Loss 5.4248 (5.8078)	Prec@1 1.562 (0.736)	Prec@5 9.375 (3.247)
Epoch: [0][1280/14090]	Time 0.768 (0.787)	Data 0.001 (0.003)	Loss 5.6155 (5.8058)	Prec@1 0.781 (0.743)	Prec@5 7.031 (3.273)
Epoch: [0][1290/14090]	Time 0.746 (0.787)	Data 0.001 (0.003)	Loss 5.6216 (5.8035)	Prec@1 1.562 (0.750)	Prec@5 3.906 (3.302)
Epoch: [0][1300/14090]	Time 0.760 (0.787)	Data 0.001 (0.003)	Loss 5.4862 (5.8014)	Prec@1 2.344 (0.753)	Prec@5 7.812 (3.315)
Epoch: [0][1310/14090]	Time 0.757 (0.787)	Data 0.001 (0.003)	Loss 5.4959 (5.7989)	Prec@1 0.000 (0.765)	Prec@5 4.688 (3.341)
Epoch: [0][1320/14090]	Time 0.777 (0.787)	Data 0.001 (0.003)	Loss 5.4529 (5.7965)	Prec@1 1.562 (0.771)	Prec@5 4.688 (3.359)
Epoch: [0][1330/14090]	Time 0.888 (0.787)	Data 0.001 (0.003)	Loss 5.5893 (5.7944)	Prec@1 0.000 (0.771)	Prec@5 4.688 (3.376)
Epoch: [0][1340/14090]	Time 0.733 (0.787)	Data 0.001 (0.003)	Loss 5.5315 (5.7920)	Prec@1 0.781 (0.776)	Prec@5 6.250 (3.405)
Epoch: [0][1350/14090]	Time 0.734 (0.786)	Data 0.001 (0.003)	Loss 5.4545 (5.7898)	Prec@1 0.781 (0.782)	Prec@5 3.125 (3.427)
Epoch: [0][1360/14090]	Time 0.772 (0.786)	Data 0.001 (0.003)	Loss 5.5496 (5.7876)	Prec@1 0.000 (0.786)	Prec@5 2.344 (3.452)
Epoch: [0][1370/14090]	Time 0.762 (0.786)	Data 0.001 (0.003)	Loss 5.4087 (5.7850)	Prec@1 2.344 (0.797)	Prec@5 9.375 (3.482)
Epoch: [0][1380/14090]	Time 0.756 (0.786)	Data 0.001 (0.003)	Loss 5.4592 (5.7828)	Prec@1 0.781 (0.801)	Prec@5 8.594 (3.503)
Epoch: [0][1390/14090]	Time 0.765 (0.786)	Data 0.001 (0.003)	Loss 5.4265 (5.7804)	Prec@1 2.344 (0.809)	Prec@5 9.375 (3.532)
Epoch: [0][1400/14090]	Time 0.880 (0.786)	Data 0.001 (0.003)	Loss 5.3880 (5.7781)	Prec@1 1.562 (0.811)	Prec@5 6.250 (3.558)
Epoch: [0][1410/14090]	Time 0.754 (0.786)	Data 0.001 (0.003)	Loss 5.4629 (5.7760)	Prec@1 0.781 (0.812)	Prec@5 7.812 (3.587)
Epoch: [0][1420/14090]	Time 0.737 (0.785)	Data 0.001 (0.003)	Loss 5.2428 (5.7738)	Prec@1 1.562 (0.815)	Prec@5 7.031 (3.612)
Epoch: [0][1430/14090]	Time 0.776 (0.785)	Data 0.001 (0.003)	Loss 5.5499 (5.7714)	Prec@1 0.781 (0.829)	Prec@5 3.906 (3.646)
Epoch: [0][1440/14090]	Time 0.762 (0.785)	Data 0.001 (0.003)	Loss 5.3973 (5.7695)	Prec@1 0.781 (0.832)	Prec@5 7.031 (3.671)
Epoch: [0][1450/14090]	Time 0.756 (0.785)	Data 0.001 (0.003)	Loss 5.6019 (5.7670)	Prec@1 0.000 (0.835)	Prec@5 3.125 (3.699)
Epoch: [0][1460/14090]	Time 0.734 (0.785)	Data 0.001 (0.003)	Loss 5.2278 (5.7642)	Prec@1 0.000 (0.842)	Prec@5 7.031 (3.723)
Epoch: [0][1470/14090]	Time 0.907 (0.785)	Data 0.001 (0.003)	Loss 5.4102 (5.7618)	Prec@1 3.125 (0.853)	Prec@5 7.812 (3.756)
Epoch: [0][1480/14090]	Time 0.753 (0.785)	Data 0.001 (0.003)	Loss 5.4178 (5.7597)	Prec@1 1.562 (0.860)	Prec@5 7.031 (3.772)
Epoch: [0][1490/14090]	Time 0.750 (0.785)	Data 0.001 (0.003)	Loss 5.3870 (5.7574)	Prec@1 2.344 (0.868)	Prec@5 7.031 (3.798)
Epoch: [0][1500/14090]	Time 0.731 (0.785)	Data 0.001 (0.003)	Loss 5.4210 (5.7552)	Prec@1 1.562 (0.873)	Prec@5 6.250 (3.816)
Epoch: [0][1510/14090]	Time 0.734 (0.785)	Data 0.001 (0.003)	Loss 5.4415 (5.7530)	Prec@1 3.906 (0.883)	Prec@5 7.812 (3.847)
Epoch: [0][1520/14090]	Time 0.760 (0.785)	Data 0.001 (0.003)	Loss 5.3567 (5.7503)	Prec@1 0.781 (0.887)	Prec@5 10.938 (3.880)
Epoch: [0][1530/14090]	Time 0.760 (0.784)	Data 0.002 (0.003)	Loss 5.4750 (5.7483)	Prec@1 0.781 (0.892)	Prec@5 7.812 (3.903)
Epoch: [0][1540/14090]	Time 0.886 (0.784)	Data 0.001 (0.003)	Loss 5.2399 (5.7458)	Prec@1 3.906 (0.902)	Prec@5 12.500 (3.943)
Epoch: [0][1550/14090]	Time 0.742 (0.784)	Data 0.001 (0.003)	Loss 5.2804 (5.7435)	Prec@1 2.344 (0.911)	Prec@5 9.375 (3.976)
Epoch: [0][1560/14090]	Time 0.753 (0.784)	Data 0.001 (0.003)	Loss 5.4506 (5.7412)	Prec@1 3.125 (0.920)	Prec@5 7.031 (4.001)
Epoch: [0][1570/14090]	Time 0.746 (0.784)	Data 0.001 (0.003)	Loss 5.4763 (5.7391)	Prec@1 1.562 (0.920)	Prec@5 8.594 (4.025)
Epoch: [0][1580/14090]	Time 0.756 (0.784)	Data 0.001 (0.003)	Loss 5.3688 (5.7369)	Prec@1 2.344 (0.927)	Prec@5 7.031 (4.049)
Epoch: [0][1590/14090]	Time 0.761 (0.784)	Data 0.001 (0.003)	Loss 5.4565 (5.7347)	Prec@1 0.781 (0.932)	Prec@5 8.594 (4.075)
Epoch: [0][1600/14090]	Time 0.742 (0.784)	Data 0.001 (0.003)	Loss 5.3136 (5.7326)	Prec@1 2.344 (0.940)	Prec@5 9.375 (4.107)
Epoch: [0][1610/14090]	Time 0.827 (0.784)	Data 0.001 (0.003)	Loss 5.3790 (5.7301)	Prec@1 0.781 (0.944)	Prec@5 6.250 (4.138)
Epoch: [0][1620/14090]	Time 0.742 (0.784)	Data 0.001 (0.003)	Loss 5.3898 (5.7277)	Prec@1 2.344 (0.956)	Prec@5 9.375 (4.179)
Epoch: [0][1630/14090]	Time 0.731 (0.783)	Data 0.001 (0.003)	Loss 5.3046 (5.7252)	Prec@1 3.906 (0.965)	Prec@5 10.938 (4.214)
Epoch: [0][1640/14090]	Time 0.761 (0.783)	Data 0.001 (0.002)	Loss 5.4956 (5.7230)	Prec@1 2.344 (0.973)	Prec@5 9.375 (4.238)
Epoch: [0][1650/14090]	Time 0.748 (0.783)	Data 0.001 (0.002)	Loss 5.2514 (5.7207)	Prec@1 0.000 (0.980)	Prec@5 7.031 (4.267)
Epoch: [0][1660/14090]	Time 0.760 (0.783)	Data 0.001 (0.002)	Loss 5.2933 (5.7186)	Prec@1 0.781 (0.987)	Prec@5 9.375 (4.290)
Epoch: [0][1670/14090]	Time 0.756 (0.783)	Data 0.001 (0.002)	Loss 5.3270 (5.7162)	Prec@1 3.125 (1.001)	Prec@5 8.594 (4.327)
Epoch: [0][1680/14090]	Time 0.881 (0.783)	Data 0.001 (0.002)	Loss 5.3503 (5.7141)	Prec@1 1.562 (1.008)	Prec@5 9.375 (4.351)
Epoch: [0][1690/14090]	Time 0.741 (0.783)	Data 0.001 (0.002)	Loss 5.2620 (5.7117)	Prec@1 3.906 (1.020)	Prec@5 10.938 (4.384)
Epoch: [0][1700/14090]	Time 0.759 (0.783)	Data 0.001 (0.002)	Loss 5.4089 (5.7095)	Prec@1 3.125 (1.027)	Prec@5 10.938 (4.409)
Epoch: [0][1710/14090]	Time 0.781 (0.783)	Data 0.001 (0.002)	Loss 5.3415 (5.7073)	Prec@1 2.344 (1.036)	Prec@5 9.375 (4.431)
Epoch: [0][1720/14090]	Time 0.752 (0.783)	Data 0.001 (0.002)	Loss 5.3168 (5.7054)	Prec@1 1.562 (1.046)	Prec@5 7.812 (4.455)
Epoch: [0][1730/14090]	Time 0.766 (0.783)	Data 0.001 (0.002)	Loss 5.4805 (5.7032)	Prec@1 0.781 (1.051)	Prec@5 3.906 (4.472)
Epoch: [0][1740/14090]	Time 0.747 (0.782)	Data 0.001 (0.002)	Loss 5.4746 (5.7010)	Prec@1 0.781 (1.057)	Prec@5 11.719 (4.504)
Epoch: [0][1750/14090]	Time 0.880 (0.782)	Data 0.001 (0.002)	Loss 5.3298 (5.6987)	Prec@1 3.125 (1.068)	Prec@5 9.375 (4.533)
Epoch: [0][1760/14090]	Time 0.735 (0.782)	Data 0.001 (0.002)	Loss 5.2215 (5.6965)	Prec@1 3.125 (1.078)	Prec@5 12.500 (4.565)
Epoch: [0][1770/14090]	Time 0.742 (0.782)	Data 0.001 (0.002)	Loss 5.4721 (5.6941)	Prec@1 2.344 (1.089)	Prec@5 7.031 (4.594)
Epoch: [0][1780/14090]	Time 0.738 (0.782)	Data 0.001 (0.002)	Loss 5.2740 (5.6916)	Prec@1 2.344 (1.097)	Prec@5 10.938 (4.623)
Epoch: [0][1790/14090]	Time 0.739 (0.782)	Data 0.001 (0.002)	Loss 5.2189 (5.6894)	Prec@1 3.125 (1.109)	Prec@5 12.500 (4.655)
Epoch: [0][1800/14090]	Time 0.759 (0.782)	Data 0.001 (0.002)	Loss 5.3283 (5.6872)	Prec@1 2.344 (1.118)	Prec@5 10.938 (4.692)
Epoch: [0][1810/14090]	Time 0.747 (0.782)	Data 0.001 (0.002)	Loss 5.2580 (5.6849)	Prec@1 4.688 (1.128)	Prec@5 12.500 (4.726)
Epoch: [0][1820/14090]	Time 0.886 (0.782)	Data 0.001 (0.002)	Loss 5.1872 (5.6827)	Prec@1 3.906 (1.137)	Prec@5 12.500 (4.754)
Epoch: [0][1830/14090]	Time 0.747 (0.782)	Data 0.001 (0.002)	Loss 5.2869 (5.6803)	Prec@1 1.562 (1.148)	Prec@5 10.156 (4.793)
Epoch: [0][1840/14090]	Time 0.770 (0.782)	Data 0.001 (0.002)	Loss 5.2472 (5.6782)	Prec@1 1.562 (1.155)	Prec@5 5.469 (4.824)
Epoch: [0][1850/14090]	Time 0.791 (0.782)	Data 0.001 (0.002)	Loss 5.2939 (5.6758)	Prec@1 2.344 (1.163)	Prec@5 6.250 (4.856)
Epoch: [0][1860/14090]	Time 0.735 (0.782)	Data 0.001 (0.002)	Loss 5.3252 (5.6736)	Prec@1 2.344 (1.170)	Prec@5 7.812 (4.884)
Epoch: [0][1870/14090]	Time 0.759 (0.781)	Data 0.002 (0.002)	Loss 5.3816 (5.6713)	Prec@1 1.562 (1.177)	Prec@5 8.594 (4.911)
Epoch: [0][1880/14090]	Time 0.760 (0.781)	Data 0.001 (0.002)	Loss 5.2391 (5.6692)	Prec@1 1.562 (1.187)	Prec@5 5.469 (4.940)
Epoch: [0][1890/14090]	Time 0.866 (0.781)	Data 0.001 (0.002)	Loss 5.1750 (5.6670)	Prec@1 8.594 (1.196)	Prec@5 18.750 (4.973)
Epoch: [0][1900/14090]	Time 0.745 (0.781)	Data 0.001 (0.002)	Loss 5.2455 (5.6651)	Prec@1 2.344 (1.203)	Prec@5 10.156 (4.998)
Epoch: [0][1910/14090]	Time 0.733 (0.781)	Data 0.001 (0.002)	Loss 5.1447 (5.6628)	Prec@1 3.125 (1.215)	Prec@5 8.594 (5.033)
Epoch: [0][1920/14090]	Time 0.735 (0.781)	Data 0.001 (0.002)	Loss 5.3830 (5.6608)	Prec@1 2.344 (1.228)	Prec@5 5.469 (5.057)
Epoch: [0][1930/14090]	Time 0.746 (0.781)	Data 0.001 (0.002)	Loss 5.4842 (5.6585)	Prec@1 2.344 (1.234)	Prec@5 5.469 (5.088)
Epoch: [0][1940/14090]	Time 0.754 (0.781)	Data 0.001 (0.002)	Loss 5.1381 (5.6559)	Prec@1 3.906 (1.249)	Prec@5 12.500 (5.121)
Epoch: [0][1950/14090]	Time 0.758 (0.781)	Data 0.001 (0.002)	Loss 5.3998 (5.6538)	Prec@1 2.344 (1.256)	Prec@5 8.594 (5.147)
Epoch: [0][1960/14090]	Time 0.817 (0.781)	Data 0.001 (0.002)	Loss 5.3422 (5.6517)	Prec@1 1.562 (1.261)	Prec@5 10.938 (5.170)
Epoch: [0][1970/14090]	Time 0.735 (0.781)	Data 0.001 (0.002)	Loss 5.3378 (5.6496)	Prec@1 2.344 (1.268)	Prec@5 5.469 (5.195)
Epoch: [0][1980/14090]	Time 0.726 (0.781)	Data 0.001 (0.002)	Loss 5.2696 (5.6474)	Prec@1 2.344 (1.276)	Prec@5 9.375 (5.222)
Epoch: [0][1990/14090]	Time 0.754 (0.781)	Data 0.001 (0.002)	Loss 5.2360 (5.6452)	Prec@1 1.562 (1.284)	Prec@5 8.594 (5.253)
Epoch: [0][2000/14090]	Time 0.739 (0.781)	Data 0.001 (0.002)	Loss 5.1210 (5.6427)	Prec@1 3.125 (1.294)	Prec@5 10.938 (5.288)
Epoch: [0][2010/14090]	Time 0.780 (0.780)	Data 0.001 (0.002)	Loss 5.0004 (5.6401)	Prec@1 1.562 (1.302)	Prec@5 14.844 (5.325)
Epoch: [0][2020/14090]	Time 0.740 (0.780)	Data 0.001 (0.002)	Loss 5.2086 (5.6382)	Prec@1 3.125 (1.309)	Prec@5 14.062 (5.354)
Epoch: [0][2030/14090]	Time 0.881 (0.780)	Data 0.001 (0.002)	Loss 5.2582 (5.6359)	Prec@1 3.125 (1.319)	Prec@5 12.500 (5.387)
Epoch: [0][2040/14090]	Time 0.737 (0.780)	Data 0.001 (0.002)	Loss 5.1074 (5.6337)	Prec@1 1.562 (1.329)	Prec@5 18.750 (5.421)
Epoch: [0][2050/14090]	Time 0.744 (0.780)	Data 0.001 (0.002)	Loss 5.2808 (5.6319)	Prec@1 3.125 (1.336)	Prec@5 14.062 (5.442)
Epoch: [0][2060/14090]	Time 0.748 (0.780)	Data 0.001 (0.002)	Loss 5.2169 (5.6297)	Prec@1 3.125 (1.343)	Prec@5 10.938 (5.471)
Epoch: [0][2070/14090]	Time 0.745 (0.780)	Data 0.001 (0.002)	Loss 5.3164 (5.6277)	Prec@1 4.688 (1.352)	Prec@5 10.938 (5.497)
Epoch: [0][2080/14090]	Time 0.761 (0.780)	Data 0.001 (0.002)	Loss 5.1942 (5.6257)	Prec@1 3.906 (1.359)	Prec@5 15.625 (5.525)
Epoch: [0][2090/14090]	Time 0.735 (0.780)	Data 0.001 (0.002)	Loss 5.1720 (5.6233)	Prec@1 2.344 (1.370)	Prec@5 11.719 (5.555)
Epoch: [0][2100/14090]	Time 0.845 (0.780)	Data 0.001 (0.002)	Loss 5.0063 (5.6211)	Prec@1 3.906 (1.377)	Prec@5 12.500 (5.585)
Epoch: [0][2110/14090]	Time 0.735 (0.780)	Data 0.001 (0.002)	Loss 5.0067 (5.6189)	Prec@1 3.906 (1.387)	Prec@5 15.625 (5.616)
Epoch: [0][2120/14090]	Time 0.746 (0.780)	Data 0.001 (0.002)	Loss 5.0114 (5.6167)	Prec@1 5.469 (1.398)	Prec@5 11.719 (5.644)
Epoch: [0][2130/14090]	Time 0.776 (0.780)	Data 0.001 (0.002)	Loss 5.0558 (5.6144)	Prec@1 2.344 (1.406)	Prec@5 14.062 (5.676)
Epoch: [0][2140/14090]	Time 0.756 (0.779)	Data 0.001 (0.002)	Loss 5.1106 (5.6122)	Prec@1 3.125 (1.416)	Prec@5 17.188 (5.705)
Epoch: [0][2150/14090]	Time 0.740 (0.779)	Data 0.001 (0.002)	Loss 5.1146 (5.6100)	Prec@1 5.469 (1.427)	Prec@5 11.719 (5.742)
Epoch: [0][2160/14090]	Time 0.774 (0.779)	Data 0.001 (0.002)	Loss 5.0313 (5.6078)	Prec@1 4.688 (1.439)	Prec@5 13.281 (5.777)
Epoch: [0][2170/14090]	Time 0.887 (0.779)	Data 0.001 (0.002)	Loss 5.1644 (5.6055)	Prec@1 3.906 (1.448)	Prec@5 10.938 (5.807)
Epoch: [0][2180/14090]	Time 0.791 (0.779)	Data 0.001 (0.002)	Loss 4.8308 (5.6033)	Prec@1 4.688 (1.461)	Prec@5 20.312 (5.845)
Epoch: [0][2190/14090]	Time 0.773 (0.779)	Data 0.001 (0.002)	Loss 5.3133 (5.6012)	Prec@1 0.781 (1.469)	Prec@5 5.469 (5.880)
Epoch: [0][2200/14090]	Time 0.750 (0.779)	Data 0.001 (0.002)	Loss 5.0805 (5.5990)	Prec@1 3.906 (1.477)	Prec@5 14.062 (5.910)
Epoch: [0][2210/14090]	Time 0.745 (0.779)	Data 0.001 (0.002)	Loss 4.9900 (5.5967)	Prec@1 6.250 (1.488)	Prec@5 17.188 (5.945)
Epoch: [0][2220/14090]	Time 0.729 (0.779)	Data 0.001 (0.002)	Loss 5.2462 (5.5948)	Prec@1 2.344 (1.495)	Prec@5 6.250 (5.966)
Epoch: [0][2230/14090]	Time 0.758 (0.779)	Data 0.001 (0.002)	Loss 5.2156 (5.5924)	Prec@1 2.344 (1.504)	Prec@5 9.375 (6.002)
Epoch: [0][2240/14090]	Time 0.917 (0.779)	Data 0.001 (0.002)	Loss 5.1785 (5.5903)	Prec@1 2.344 (1.516)	Prec@5 8.594 (6.036)
Epoch: [0][2250/14090]	Time 0.737 (0.779)	Data 0.001 (0.002)	Loss 4.9955 (5.5880)	Prec@1 0.781 (1.524)	Prec@5 14.844 (6.068)
Epoch: [0][2260/14090]	Time 0.748 (0.779)	Data 0.001 (0.002)	Loss 5.0661 (5.5857)	Prec@1 4.688 (1.534)	Prec@5 11.719 (6.100)
Epoch: [0][2270/14090]	Time 0.731 (0.779)	Data 0.001 (0.002)	Loss 4.9415 (5.5833)	Prec@1 2.344 (1.542)	Prec@5 10.156 (6.137)
Epoch: [0][2280/14090]	Time 0.764 (0.779)	Data 0.001 (0.002)	Loss 5.2336 (5.5810)	Prec@1 7.031 (1.553)	Prec@5 17.188 (6.178)
Epoch: [0][2290/14090]	Time 0.750 (0.779)	Data 0.001 (0.002)	Loss 5.0716 (5.5790)	Prec@1 4.688 (1.563)	Prec@5 12.500 (6.205)
Epoch: [0][2300/14090]	Time 0.754 (0.779)	Data 0.001 (0.002)	Loss 5.2052 (5.5767)	Prec@1 3.125 (1.572)	Prec@5 10.156 (6.234)
Epoch: [0][2310/14090]	Time 0.836 (0.779)	Data 0.001 (0.002)	Loss 4.9474 (5.5744)	Prec@1 3.125 (1.583)	Prec@5 14.844 (6.271)
Epoch: [0][2320/14090]	Time 0.765 (0.779)	Data 0.001 (0.002)	Loss 5.0944 (5.5722)	Prec@1 0.781 (1.593)	Prec@5 8.594 (6.303)
Epoch: [0][2330/14090]	Time 0.738 (0.779)	Data 0.001 (0.002)	Loss 5.1161 (5.5702)	Prec@1 5.469 (1.602)	Prec@5 18.750 (6.337)
Epoch: [0][2340/14090]	Time 0.740 (0.779)	Data 0.001 (0.002)	Loss 5.2298 (5.5679)	Prec@1 2.344 (1.610)	Prec@5 11.719 (6.371)
Epoch: [0][2350/14090]	Time 0.762 (0.779)	Data 0.001 (0.002)	Loss 4.8197 (5.5655)	Prec@1 1.562 (1.619)	Prec@5 19.531 (6.407)
Epoch: [0][2360/14090]	Time 0.760 (0.779)	Data 0.001 (0.002)	Loss 4.9932 (5.5635)	Prec@1 3.125 (1.628)	Prec@5 9.375 (6.434)
Epoch: [0][2370/14090]	Time 0.771 (0.779)	Data 0.001 (0.002)	Loss 5.0390 (5.5611)	Prec@1 5.469 (1.641)	Prec@5 17.188 (6.475)
Epoch: [0][2380/14090]	Time 0.874 (0.779)	Data 0.001 (0.002)	Loss 5.0410 (5.5589)	Prec@1 4.688 (1.651)	Prec@5 17.969 (6.515)
Epoch: [0][2390/14090]	Time 0.736 (0.779)	Data 0.001 (0.002)	Loss 5.2880 (5.5566)	Prec@1 7.812 (1.668)	Prec@5 13.281 (6.555)
Epoch: [0][2400/14090]	Time 0.762 (0.778)	Data 0.001 (0.002)	Loss 5.0937 (5.5547)	Prec@1 3.906 (1.673)	Prec@5 7.031 (6.574)
Epoch: [0][2410/14090]	Time 0.755 (0.778)	Data 0.001 (0.002)	Loss 5.0151 (5.5523)	Prec@1 4.688 (1.684)	Prec@5 15.625 (6.614)
Epoch: [0][2420/14090]	Time 0.750 (0.778)	Data 0.001 (0.002)	Loss 5.0453 (5.5501)	Prec@1 6.250 (1.693)	Prec@5 13.281 (6.645)
Epoch: [0][2430/14090]	Time 0.740 (0.778)	Data 0.001 (0.002)	Loss 4.8946 (5.5479)	Prec@1 3.906 (1.702)	Prec@5 14.844 (6.676)
Epoch: [0][2440/14090]	Time 0.726 (0.778)	Data 0.001 (0.002)	Loss 4.8851 (5.5454)	Prec@1 7.812 (1.718)	Prec@5 17.969 (6.720)
Epoch: [0][2450/14090]	Time 0.894 (0.778)	Data 0.001 (0.002)	Loss 4.9320 (5.5432)	Prec@1 4.688 (1.727)	Prec@5 17.969 (6.758)
Epoch: [0][2460/14090]	Time 0.745 (0.778)	Data 0.001 (0.002)	Loss 5.2555 (5.5414)	Prec@1 2.344 (1.733)	Prec@5 10.156 (6.786)
Epoch: [0][2470/14090]	Time 0.787 (0.778)	Data 0.001 (0.002)	Loss 5.0577 (5.5391)	Prec@1 3.125 (1.742)	Prec@5 10.156 (6.819)
Epoch: [0][2480/14090]	Time 0.725 (0.778)	Data 0.001 (0.002)	Loss 5.0009 (5.5369)	Prec@1 1.562 (1.754)	Prec@5 14.062 (6.855)
Epoch: [0][2490/14090]	Time 0.753 (0.778)	Data 0.001 (0.002)	Loss 5.0858 (5.5347)	Prec@1 5.469 (1.766)	Prec@5 17.969 (6.893)
Epoch: [0][2500/14090]	Time 0.769 (0.778)	Data 0.001 (0.002)	Loss 5.1331 (5.5324)	Prec@1 4.688 (1.776)	Prec@5 14.062 (6.926)
Epoch: [0][2510/14090]	Time 0.779 (0.778)	Data 0.001 (0.002)	Loss 4.8081 (5.5300)	Prec@1 6.250 (1.787)	Prec@5 17.969 (6.961)
Epoch: [0][2520/14090]	Time 0.888 (0.778)	Data 0.001 (0.002)	Loss 4.8358 (5.5276)	Prec@1 3.125 (1.796)	Prec@5 17.188 (6.995)
Epoch: [0][2530/14090]	Time 0.756 (0.778)	Data 0.001 (0.002)	Loss 4.8441 (5.5254)	Prec@1 9.375 (1.813)	Prec@5 18.750 (7.033)
Epoch: [0][2540/14090]	Time 0.742 (0.778)	Data 0.001 (0.002)	Loss 4.9525 (5.5233)	Prec@1 7.031 (1.825)	Prec@5 17.969 (7.064)
Epoch: [0][2550/14090]	Time 0.732 (0.778)	Data 0.001 (0.002)	Loss 5.0683 (5.5213)	Prec@1 1.562 (1.835)	Prec@5 7.812 (7.096)
Epoch: [0][2560/14090]	Time 0.738 (0.778)	Data 0.001 (0.002)	Loss 4.7840 (5.5190)	Prec@1 5.469 (1.846)	Prec@5 17.188 (7.134)
Epoch: [0][2570/14090]	Time 0.727 (0.778)	Data 0.001 (0.002)	Loss 4.7995 (5.5164)	Prec@1 8.594 (1.861)	Prec@5 16.406 (7.178)
Epoch: [0][2580/14090]	Time 0.755 (0.778)	Data 0.001 (0.002)	Loss 4.9404 (5.5140)	Prec@1 7.031 (1.873)	Prec@5 14.844 (7.218)
Epoch: [0][2590/14090]	Time 0.869 (0.778)	Data 0.001 (0.002)	Loss 4.9817 (5.5119)	Prec@1 3.125 (1.885)	Prec@5 13.281 (7.254)
Epoch: [0][2600/14090]	Time 0.757 (0.778)	Data 0.001 (0.002)	Loss 5.0055 (5.5097)	Prec@1 4.688 (1.894)	Prec@5 11.719 (7.286)
Epoch: [0][2610/14090]	Time 0.759 (0.778)	Data 0.001 (0.002)	Loss 4.7055 (5.5075)	Prec@1 7.812 (1.910)	Prec@5 21.875 (7.320)
Epoch: [0][2620/14090]	Time 0.735 (0.777)	Data 0.001 (0.002)	Loss 4.7514 (5.5049)	Prec@1 5.469 (1.920)	Prec@5 14.062 (7.354)
Epoch: [0][2630/14090]	Time 0.763 (0.777)	Data 0.001 (0.002)	Loss 4.7230 (5.5029)	Prec@1 6.250 (1.929)	Prec@5 19.531 (7.385)
Epoch: [0][2640/14090]	Time 0.730 (0.777)	Data 0.001 (0.002)	Loss 4.9034 (5.5006)	Prec@1 3.906 (1.939)	Prec@5 16.406 (7.423)
Epoch: [0][2650/14090]	Time 0.731 (0.777)	Data 0.001 (0.002)	Loss 5.1350 (5.4985)	Prec@1 2.344 (1.951)	Prec@5 13.281 (7.462)
Epoch: [0][2660/14090]	Time 0.874 (0.777)	Data 0.001 (0.002)	Loss 4.8706 (5.4963)	Prec@1 3.906 (1.963)	Prec@5 16.406 (7.497)
Epoch: [0][2670/14090]	Time 0.730 (0.777)	Data 0.001 (0.002)	Loss 5.0080 (5.4941)	Prec@1 2.344 (1.973)	Prec@5 13.281 (7.534)
Epoch: [0][2680/14090]	Time 0.758 (0.777)	Data 0.001 (0.002)	Loss 5.0737 (5.4918)	Prec@1 3.906 (1.982)	Prec@5 11.719 (7.567)
Epoch: [0][2690/14090]	Time 0.735 (0.777)	Data 0.001 (0.002)	Loss 4.9598 (5.4896)	Prec@1 3.906 (1.995)	Prec@5 11.719 (7.607)
Epoch: [0][2700/14090]	Time 0.745 (0.777)	Data 0.001 (0.002)	Loss 4.9231 (5.4873)	Prec@1 4.688 (2.006)	Prec@5 18.750 (7.638)
Epoch: [0][2710/14090]	Time 0.728 (0.777)	Data 0.001 (0.002)	Loss 4.8028 (5.4850)	Prec@1 3.906 (2.020)	Prec@5 14.062 (7.673)
Epoch: [0][2720/14090]	Time 0.737 (0.777)	Data 0.001 (0.002)	Loss 4.8144 (5.4830)	Prec@1 5.469 (2.030)	Prec@5 17.188 (7.704)
Epoch: [0][2730/14090]	Time 0.860 (0.777)	Data 0.001 (0.002)	Loss 4.6331 (5.4807)	Prec@1 4.688 (2.044)	Prec@5 17.969 (7.742)
Epoch: [0][2740/14090]	Time 0.739 (0.777)	Data 0.001 (0.002)	Loss 4.7876 (5.4784)	Prec@1 5.469 (2.059)	Prec@5 17.188 (7.785)
Epoch: [0][2750/14090]	Time 0.743 (0.777)	Data 0.001 (0.002)	Loss 4.9834 (5.4761)	Prec@1 4.688 (2.073)	Prec@5 14.844 (7.823)
Epoch: [0][2760/14090]	Time 0.744 (0.777)	Data 0.001 (0.002)	Loss 5.0063 (5.4742)	Prec@1 4.688 (2.083)	Prec@5 14.062 (7.856)
Epoch: [0][2770/14090]	Time 0.753 (0.777)	Data 0.001 (0.002)	Loss 5.1976 (5.4720)	Prec@1 4.688 (2.095)	Prec@5 13.281 (7.895)
Epoch: [0][2780/14090]	Time 0.746 (0.777)	Data 0.001 (0.002)	Loss 4.8196 (5.4700)	Prec@1 3.906 (2.103)	Prec@5 17.188 (7.929)
Epoch: [0][2790/14090]	Time 0.765 (0.777)	Data 0.001 (0.002)	Loss 4.7787 (5.4679)	Prec@1 6.250 (2.114)	Prec@5 24.219 (7.966)
Epoch: [0][2800/14090]	Time 0.876 (0.777)	Data 0.001 (0.002)	Loss 4.6614 (5.4656)	Prec@1 5.469 (2.128)	Prec@5 25.781 (8.005)
Epoch: [0][2810/14090]	Time 0.735 (0.777)	Data 0.001 (0.002)	Loss 4.9119 (5.4632)	Prec@1 6.250 (2.141)	Prec@5 20.312 (8.046)
Epoch: [0][2820/14090]	Time 0.732 (0.777)	Data 0.001 (0.002)	Loss 4.7896 (5.4612)	Prec@1 6.250 (2.152)	Prec@5 16.406 (8.084)
Epoch: [0][2830/14090]	Time 0.763 (0.777)	Data 0.001 (0.002)	Loss 5.0365 (5.4589)	Prec@1 4.688 (2.163)	Prec@5 21.094 (8.126)
Epoch: [0][2840/14090]	Time 0.731 (0.777)	Data 0.001 (0.002)	Loss 4.7682 (5.4566)	Prec@1 4.688 (2.176)	Prec@5 16.406 (8.163)
Epoch: [0][2850/14090]	Time 0.756 (0.777)	Data 0.001 (0.002)	Loss 4.8074 (5.4541)	Prec@1 7.031 (2.194)	Prec@5 22.656 (8.203)
Epoch: [0][2860/14090]	Time 0.775 (0.777)	Data 0.001 (0.002)	Loss 4.8005 (5.4518)	Prec@1 4.688 (2.204)	Prec@5 19.531 (8.241)
Epoch: [0][2870/14090]	Time 0.895 (0.777)	Data 0.001 (0.002)	Loss 4.6742 (5.4496)	Prec@1 5.469 (2.216)	Prec@5 20.312 (8.276)
Epoch: [0][2880/14090]	Time 0.752 (0.777)	Data 0.001 (0.002)	Loss 4.8478 (5.4475)	Prec@1 5.469 (2.227)	Prec@5 19.531 (8.311)
Epoch: [0][2890/14090]	Time 0.738 (0.777)	Data 0.001 (0.002)	Loss 4.6263 (5.4451)	Prec@1 4.688 (2.239)	Prec@5 20.312 (8.349)
Epoch: [0][2900/14090]	Time 0.745 (0.777)	Data 0.001 (0.002)	Loss 4.8167 (5.4430)	Prec@1 7.031 (2.249)	Prec@5 17.969 (8.382)
Epoch: [0][2910/14090]	Time 0.759 (0.777)	Data 0.001 (0.002)	Loss 4.8153 (5.4408)	Prec@1 5.469 (2.259)	Prec@5 21.094 (8.417)
Epoch: [0][2920/14090]	Time 0.745 (0.777)	Data 0.001 (0.002)	Loss 4.8227 (5.4386)	Prec@1 6.250 (2.275)	Prec@5 22.656 (8.455)
Epoch: [0][2930/14090]	Time 0.755 (0.776)	Data 0.001 (0.002)	Loss 4.9508 (5.4365)	Prec@1 2.344 (2.286)	Prec@5 11.719 (8.484)
Epoch: [0][2940/14090]	Time 0.815 (0.776)	Data 0.001 (0.002)	Loss 4.4674 (5.4341)	Prec@1 10.156 (2.301)	Prec@5 26.562 (8.526)
Epoch: [0][2950/14090]	Time 0.782 (0.776)	Data 0.001 (0.002)	Loss 4.4284 (5.4319)	Prec@1 10.156 (2.316)	Prec@5 31.250 (8.568)
Epoch: [0][2960/14090]	Time 0.753 (0.776)	Data 0.001 (0.002)	Loss 4.6894 (5.4297)	Prec@1 6.250 (2.325)	Prec@5 19.531 (8.602)
Epoch: [0][2970/14090]	Time 0.730 (0.776)	Data 0.001 (0.002)	Loss 4.7829 (5.4275)	Prec@1 0.000 (2.335)	Prec@5 17.969 (8.637)
Epoch: [0][2980/14090]	Time 0.745 (0.776)	Data 0.001 (0.002)	Loss 4.7529 (5.4253)	Prec@1 4.688 (2.348)	Prec@5 19.531 (8.677)
Epoch: [0][2990/14090]	Time 0.770 (0.776)	Data 0.001 (0.002)	Loss 4.7465 (5.4232)	Prec@1 3.125 (2.360)	Prec@5 21.875 (8.716)
Epoch: [0][3000/14090]	Time 0.752 (0.776)	Data 0.001 (0.002)	Loss 4.6908 (5.4208)	Prec@1 3.125 (2.370)	Prec@5 18.750 (8.752)
Epoch: [0][3010/14090]	Time 0.861 (0.776)	Data 0.001 (0.002)	Loss 4.6092 (5.4187)	Prec@1 7.812 (2.383)	Prec@5 24.219 (8.790)
Epoch: [0][3020/14090]	Time 0.773 (0.776)	Data 0.001 (0.002)	Loss 4.8682 (5.4166)	Prec@1 3.906 (2.395)	Prec@5 15.625 (8.822)
Epoch: [0][3030/14090]	Time 0.746 (0.776)	Data 0.001 (0.002)	Loss 4.6495 (5.4144)	Prec@1 6.250 (2.407)	Prec@5 21.875 (8.862)
Epoch: [0][3040/14090]	Time 0.745 (0.776)	Data 0.001 (0.002)	Loss 4.7982 (5.4122)	Prec@1 8.594 (2.423)	Prec@5 22.656 (8.900)
Epoch: [0][3050/14090]	Time 0.761 (0.776)	Data 0.001 (0.002)	Loss 4.6509 (5.4099)	Prec@1 4.688 (2.436)	Prec@5 21.875 (8.942)
Epoch: [0][3060/14090]	Time 0.748 (0.776)	Data 0.001 (0.002)	Loss 4.9005 (5.4077)	Prec@1 7.031 (2.452)	Prec@5 16.406 (8.980)
Epoch: [0][3070/14090]	Time 0.775 (0.776)	Data 0.001 (0.002)	Loss 4.8551 (5.4056)	Prec@1 3.125 (2.461)	Prec@5 20.312 (9.015)
Epoch: [0][3080/14090]	Time 0.884 (0.776)	Data 0.001 (0.002)	Loss 4.6628 (5.4033)	Prec@1 9.375 (2.477)	Prec@5 18.750 (9.057)
Epoch: [0][3090/14090]	Time 0.756 (0.776)	Data 0.001 (0.002)	Loss 4.6747 (5.4010)	Prec@1 5.469 (2.492)	Prec@5 21.094 (9.100)
Epoch: [0][3100/14090]	Time 0.740 (0.776)	Data 0.001 (0.002)	Loss 4.7683 (5.3989)	Prec@1 4.688 (2.507)	Prec@5 22.656 (9.136)
Epoch: [0][3110/14090]	Time 0.723 (0.776)	Data 0.001 (0.002)	Loss 4.5460 (5.3965)	Prec@1 4.688 (2.520)	Prec@5 25.781 (9.171)
Epoch: [0][3120/14090]	Time 0.756 (0.776)	Data 0.001 (0.002)	Loss 4.8573 (5.3944)	Prec@1 4.688 (2.533)	Prec@5 16.406 (9.205)
Epoch: [0][3130/14090]	Time 0.750 (0.776)	Data 0.001 (0.002)	Loss 4.6140 (5.3925)	Prec@1 7.812 (2.545)	Prec@5 25.781 (9.239)
Epoch: [0][3140/14090]	Time 0.776 (0.776)	Data 0.001 (0.002)	Loss 4.4582 (5.3904)	Prec@1 10.156 (2.558)	Prec@5 26.562 (9.271)
Epoch: [0][3150/14090]	Time 0.956 (0.776)	Data 0.001 (0.002)	Loss 4.7197 (5.3881)	Prec@1 8.594 (2.572)	Prec@5 17.969 (9.308)
Epoch: [0][3160/14090]	Time 0.749 (0.776)	Data 0.001 (0.002)	Loss 4.6783 (5.3861)	Prec@1 5.469 (2.583)	Prec@5 21.875 (9.344)
Epoch: [0][3170/14090]	Time 0.761 (0.776)	Data 0.001 (0.002)	Loss 4.5618 (5.3840)	Prec@1 3.906 (2.592)	Prec@5 21.875 (9.377)
Epoch: [0][3180/14090]	Time 0.753 (0.776)	Data 0.001 (0.002)	Loss 4.8507 (5.3819)	Prec@1 3.906 (2.603)	Prec@5 19.531 (9.412)
Epoch: [0][3190/14090]	Time 0.747 (0.776)	Data 0.001 (0.002)	Loss 4.7401 (5.3799)	Prec@1 5.469 (2.615)	Prec@5 18.750 (9.444)
Epoch: [0][3200/14090]	Time 0.757 (0.776)	Data 0.001 (0.002)	Loss 4.6616 (5.3776)	Prec@1 6.250 (2.630)	Prec@5 24.219 (9.487)
Epoch: [0][3210/14090]	Time 0.736 (0.776)	Data 0.001 (0.002)	Loss 4.4889 (5.3756)	Prec@1 6.250 (2.641)	Prec@5 16.406 (9.518)
Epoch: [0][3220/14090]	Time 0.903 (0.776)	Data 0.001 (0.002)	Loss 4.8498 (5.3736)	Prec@1 7.031 (2.651)	Prec@5 19.531 (9.554)
Epoch: [0][3230/14090]	Time 0.754 (0.776)	Data 0.001 (0.002)	Loss 4.6220 (5.3715)	Prec@1 7.031 (2.665)	Prec@5 20.312 (9.592)
Epoch: [0][3240/14090]	Time 0.786 (0.776)	Data 0.001 (0.002)	Loss 4.7493 (5.3692)	Prec@1 3.906 (2.682)	Prec@5 20.312 (9.638)
Epoch: [0][3250/14090]	Time 0.738 (0.776)	Data 0.001 (0.002)	Loss 4.5215 (5.3670)	Prec@1 7.812 (2.697)	Prec@5 22.656 (9.676)
Epoch: [0][3260/14090]	Time 0.740 (0.776)	Data 0.001 (0.002)	Loss 4.5463 (5.3646)	Prec@1 11.719 (2.717)	Prec@5 23.438 (9.717)
Epoch: [0][3270/14090]	Time 0.728 (0.776)	Data 0.001 (0.002)	Loss 4.5792 (5.3625)	Prec@1 6.250 (2.730)	Prec@5 18.750 (9.750)
Epoch: [0][3280/14090]	Time 0.746 (0.776)	Data 0.001 (0.002)	Loss 4.7120 (5.3604)	Prec@1 7.812 (2.739)	Prec@5 20.312 (9.781)
Epoch: [0][3290/14090]	Time 0.847 (0.776)	Data 0.001 (0.002)	Loss 4.6979 (5.3585)	Prec@1 10.156 (2.753)	Prec@5 22.656 (9.813)
Epoch: [0][3300/14090]	Time 0.735 (0.776)	Data 0.002 (0.002)	Loss 4.7558 (5.3563)	Prec@1 6.250 (2.767)	Prec@5 19.531 (9.851)
Epoch: [0][3310/14090]	Time 0.780 (0.776)	Data 0.001 (0.002)	Loss 4.7206 (5.3543)	Prec@1 6.250 (2.783)	Prec@5 21.094 (9.888)
Epoch: [0][3320/14090]	Time 0.751 (0.776)	Data 0.001 (0.002)	Loss 4.6756 (5.3521)	Prec@1 8.594 (2.797)	Prec@5 22.656 (9.926)
Epoch: [0][3330/14090]	Time 0.755 (0.776)	Data 0.001 (0.002)	Loss 4.7550 (5.3502)	Prec@1 7.031 (2.808)	Prec@5 21.875 (9.955)
Epoch: [0][3340/14090]	Time 0.770 (0.776)	Data 0.001 (0.002)	Loss 4.5254 (5.3481)	Prec@1 11.719 (2.821)	Prec@5 21.094 (9.990)
Epoch: [0][3350/14090]	Time 0.753 (0.776)	Data 0.001 (0.002)	Loss 4.5601 (5.3461)	Prec@1 7.031 (2.834)	Prec@5 24.219 (10.028)
Epoch: [0][3360/14090]	Time 0.844 (0.776)	Data 0.001 (0.002)	Loss 4.7257 (5.3442)	Prec@1 5.469 (2.844)	Prec@5 19.531 (10.055)
Epoch: [0][3370/14090]	Time 0.754 (0.776)	Data 0.001 (0.002)	Loss 4.7082 (5.3423)	Prec@1 8.594 (2.851)	Prec@5 24.219 (10.085)
Epoch: [0][3380/14090]	Time 0.734 (0.776)	Data 0.002 (0.002)	Loss 4.7171 (5.3401)	Prec@1 7.031 (2.870)	Prec@5 17.188 (10.120)
Epoch: [0][3390/14090]	Time 0.743 (0.776)	Data 0.001 (0.002)	Loss 4.5738 (5.3379)	Prec@1 7.812 (2.882)	Prec@5 17.969 (10.156)
Epoch: [0][3400/14090]	Time 0.781 (0.776)	Data 0.001 (0.002)	Loss 4.8274 (5.3359)	Prec@1 4.688 (2.897)	Prec@5 16.406 (10.193)
Epoch: [0][3410/14090]	Time 0.760 (0.776)	Data 0.001 (0.002)	Loss 4.5119 (5.3339)	Prec@1 7.031 (2.911)	Prec@5 21.875 (10.230)
Epoch: [0][3420/14090]	Time 0.741 (0.775)	Data 0.001 (0.002)	Loss 4.3945 (5.3317)	Prec@1 10.156 (2.927)	Prec@5 25.781 (10.271)
Epoch: [0][3430/14090]	Time 0.874 (0.775)	Data 0.001 (0.002)	Loss 4.4158 (5.3296)	Prec@1 8.594 (2.942)	Prec@5 27.344 (10.310)
Epoch: [0][3440/14090]	Time 0.727 (0.775)	Data 0.003 (0.002)	Loss 4.3715 (5.3274)	Prec@1 5.469 (2.955)	Prec@5 25.000 (10.346)
Epoch: [0][3450/14090]	Time 0.755 (0.775)	Data 0.001 (0.002)	Loss 4.4951 (5.3251)	Prec@1 7.812 (2.969)	Prec@5 25.000 (10.390)
Epoch: [0][3460/14090]	Time 0.756 (0.775)	Data 0.001 (0.002)	Loss 4.5623 (5.3230)	Prec@1 6.250 (2.982)	Prec@5 25.781 (10.425)
Epoch: [0][3470/14090]	Time 0.735 (0.775)	Data 0.001 (0.002)	Loss 4.5981 (5.3210)	Prec@1 9.375 (2.994)	Prec@5 20.312 (10.461)
Epoch: [0][3480/14090]	Time 0.752 (0.775)	Data 0.001 (0.002)	Loss 4.8875 (5.3192)	Prec@1 6.250 (3.006)	Prec@5 15.625 (10.497)
Epoch: [0][3490/14090]	Time 0.736 (0.775)	Data 0.001 (0.002)	Loss 4.6483 (5.3172)	Prec@1 10.156 (3.018)	Prec@5 27.344 (10.535)
Epoch: [0][3500/14090]	Time 0.903 (0.775)	Data 0.001 (0.002)	Loss 4.3966 (5.3151)	Prec@1 5.469 (3.032)	Prec@5 25.781 (10.576)
Epoch: [0][3510/14090]	Time 0.754 (0.775)	Data 0.001 (0.002)	Loss 4.6998 (5.3132)	Prec@1 8.594 (3.048)	Prec@5 25.000 (10.611)
Epoch: [0][3520/14090]	Time 0.765 (0.775)	Data 0.001 (0.002)	Loss 4.6062 (5.3111)	Prec@1 8.594 (3.059)	Prec@5 22.656 (10.648)
Epoch: [0][3530/14090]	Time 0.756 (0.775)	Data 0.001 (0.002)	Loss 4.5250 (5.3091)	Prec@1 10.156 (3.072)	Prec@5 22.656 (10.686)
Epoch: [0][3540/14090]	Time 0.740 (0.775)	Data 0.001 (0.002)	Loss 4.6141 (5.3071)	Prec@1 7.812 (3.086)	Prec@5 28.125 (10.729)
Epoch: [0][3550/14090]	Time 0.752 (0.775)	Data 0.001 (0.002)	Loss 4.6628 (5.3050)	Prec@1 10.156 (3.099)	Prec@5 19.531 (10.766)
Epoch: [0][3560/14090]	Time 0.759 (0.775)	Data 0.001 (0.002)	Loss 4.6342 (5.3028)	Prec@1 7.031 (3.120)	Prec@5 20.312 (10.806)
Epoch: [0][3570/14090]	Time 0.865 (0.775)	Data 0.001 (0.002)	Loss 4.5456 (5.3008)	Prec@1 7.812 (3.134)	Prec@5 24.219 (10.844)
Epoch: [0][3580/14090]	Time 0.762 (0.775)	Data 0.001 (0.002)	Loss 4.9032 (5.2990)	Prec@1 6.250 (3.147)	Prec@5 18.750 (10.881)
Epoch: [0][3590/14090]	Time 0.779 (0.775)	Data 0.001 (0.002)	Loss 4.5978 (5.2969)	Prec@1 8.594 (3.159)	Prec@5 22.656 (10.918)
Epoch: [0][3600/14090]	Time 0.745 (0.775)	Data 0.001 (0.002)	Loss 4.6429 (5.2949)	Prec@1 3.906 (3.170)	Prec@5 19.531 (10.951)
Epoch: [0][3610/14090]	Time 0.753 (0.775)	Data 0.001 (0.002)	Loss 4.4980 (5.2929)	Prec@1 7.812 (3.184)	Prec@5 22.656 (10.987)
Epoch: [0][3620/14090]	Time 0.731 (0.775)	Data 0.001 (0.002)	Loss 4.6472 (5.2908)	Prec@1 8.594 (3.198)	Prec@5 22.656 (11.024)
Epoch: [0][3630/14090]	Time 0.758 (0.775)	Data 0.001 (0.002)	Loss 4.6098 (5.2887)	Prec@1 9.375 (3.214)	Prec@5 22.656 (11.065)
Epoch: [0][3640/14090]	Time 0.900 (0.775)	Data 0.001 (0.002)	Loss 4.5369 (5.2867)	Prec@1 7.031 (3.226)	Prec@5 24.219 (11.101)
Epoch: [0][3650/14090]	Time 0.746 (0.775)	Data 0.001 (0.002)	Loss 4.3679 (5.2846)	Prec@1 5.469 (3.241)	Prec@5 25.781 (11.140)
Epoch: [0][3660/14090]	Time 0.748 (0.775)	Data 0.001 (0.002)	Loss 4.5820 (5.2825)	Prec@1 9.375 (3.259)	Prec@5 23.438 (11.175)
Epoch: [0][3670/14090]	Time 0.747 (0.775)	Data 0.001 (0.002)	Loss 4.9400 (5.2806)	Prec@1 3.906 (3.273)	Prec@5 21.094 (11.212)
Epoch: [0][3680/14090]	Time 0.751 (0.775)	Data 0.001 (0.002)	Loss 4.4445 (5.2785)	Prec@1 6.250 (3.284)	Prec@5 25.000 (11.251)
Epoch: [0][3690/14090]	Time 0.737 (0.775)	Data 0.001 (0.002)	Loss 4.6363 (5.2764)	Prec@1 4.688 (3.296)	Prec@5 19.531 (11.287)
Epoch: [0][3700/14090]	Time 0.749 (0.775)	Data 0.001 (0.002)	Loss 4.5500 (5.2743)	Prec@1 5.469 (3.312)	Prec@5 26.562 (11.328)
Epoch: [0][3710/14090]	Time 0.859 (0.775)	Data 0.001 (0.002)	Loss 4.4658 (5.2724)	Prec@1 3.125 (3.325)	Prec@5 24.219 (11.365)
Epoch: [0][3720/14090]	Time 0.761 (0.775)	Data 0.001 (0.002)	Loss 4.6374 (5.2703)	Prec@1 6.250 (3.337)	Prec@5 25.000 (11.401)
Epoch: [0][3730/14090]	Time 0.736 (0.775)	Data 0.001 (0.002)	Loss 4.5597 (5.2682)	Prec@1 5.469 (3.353)	Prec@5 21.875 (11.438)
Epoch: [0][3740/14090]	Time 0.765 (0.775)	Data 0.001 (0.002)	Loss 4.7579 (5.2664)	Prec@1 5.469 (3.365)	Prec@5 23.438 (11.471)
Epoch: [0][3750/14090]	Time 0.750 (0.775)	Data 0.001 (0.002)	Loss 4.3712 (5.2644)	Prec@1 9.375 (3.378)	Prec@5 29.688 (11.505)
Epoch: [0][3760/14090]	Time 0.744 (0.775)	Data 0.001 (0.002)	Loss 4.5804 (5.2623)	Prec@1 5.469 (3.392)	Prec@5 22.656 (11.538)
Epoch: [0][3770/14090]	Time 0.765 (0.775)	Data 0.001 (0.002)	Loss 4.5148 (5.2603)	Prec@1 13.281 (3.409)	Prec@5 28.906 (11.577)
Epoch: [0][3780/14090]	Time 0.876 (0.775)	Data 0.001 (0.002)	Loss 4.4633 (5.2583)	Prec@1 7.812 (3.427)	Prec@5 26.562 (11.618)
Epoch: [0][3790/14090]	Time 0.767 (0.775)	Data 0.001 (0.002)	Loss 4.4025 (5.2563)	Prec@1 7.812 (3.442)	Prec@5 27.344 (11.655)
Epoch: [0][3800/14090]	Time 0.769 (0.775)	Data 0.001 (0.002)	Loss 4.6113 (5.2545)	Prec@1 6.250 (3.453)	Prec@5 23.438 (11.689)
Epoch: [0][3810/14090]	Time 0.732 (0.775)	Data 0.001 (0.002)	Loss 4.4450 (5.2528)	Prec@1 9.375 (3.467)	Prec@5 21.875 (11.721)
Epoch: [0][3820/14090]	Time 0.756 (0.775)	Data 0.001 (0.002)	Loss 4.6739 (5.2509)	Prec@1 7.812 (3.477)	Prec@5 27.344 (11.757)
Epoch: [0][3830/14090]	Time 0.741 (0.775)	Data 0.001 (0.002)	Loss 4.5256 (5.2489)	Prec@1 6.250 (3.490)	Prec@5 28.125 (11.795)
Epoch: [0][3840/14090]	Time 0.753 (0.775)	Data 0.001 (0.002)	Loss 4.3722 (5.2470)	Prec@1 12.500 (3.503)	Prec@5 33.594 (11.833)
Epoch: [0][3850/14090]	Time 0.880 (0.775)	Data 0.001 (0.002)	Loss 4.5222 (5.2452)	Prec@1 6.250 (3.514)	Prec@5 28.125 (11.868)
Epoch: [0][3860/14090]	Time 0.754 (0.775)	Data 0.001 (0.002)	Loss 4.6595 (5.2433)	Prec@1 7.812 (3.528)	Prec@5 21.094 (11.906)
Epoch: [0][3870/14090]	Time 0.768 (0.775)	Data 0.001 (0.002)	Loss 4.6535 (5.2416)	Prec@1 6.250 (3.540)	Prec@5 21.094 (11.937)
Epoch: [0][3880/14090]	Time 0.727 (0.775)	Data 0.001 (0.002)	Loss 4.3129 (5.2396)	Prec@1 13.281 (3.553)	Prec@5 35.156 (11.975)
Epoch: [0][3890/14090]	Time 0.742 (0.775)	Data 0.001 (0.002)	Loss 4.4244 (5.2376)	Prec@1 8.594 (3.571)	Prec@5 28.906 (12.019)
Epoch: [0][3900/14090]	Time 0.760 (0.775)	Data 0.001 (0.002)	Loss 4.6469 (5.2359)	Prec@1 8.594 (3.582)	Prec@5 23.438 (12.050)
Epoch: [0][3910/14090]	Time 0.735 (0.775)	Data 0.001 (0.002)	Loss 4.4089 (5.2339)	Prec@1 10.156 (3.595)	Prec@5 21.875 (12.087)
Epoch: [0][3920/14090]	Time 0.840 (0.775)	Data 0.001 (0.002)	Loss 4.5153 (5.2321)	Prec@1 8.594 (3.606)	Prec@5 29.688 (12.114)
Epoch: [0][3930/14090]	Time 0.762 (0.775)	Data 0.001 (0.002)	Loss 4.5531 (5.2303)	Prec@1 4.688 (3.620)	Prec@5 20.312 (12.146)
Epoch: [0][3940/14090]	Time 0.732 (0.775)	Data 0.001 (0.002)	Loss 4.3091 (5.2284)	Prec@1 10.938 (3.633)	Prec@5 33.594 (12.187)
Epoch: [0][3950/14090]	Time 0.737 (0.775)	Data 0.001 (0.002)	Loss 4.2060 (5.2265)	Prec@1 10.156 (3.645)	Prec@5 32.812 (12.225)
Epoch: [0][3960/14090]	Time 0.729 (0.775)	Data 0.001 (0.002)	Loss 4.3934 (5.2244)	Prec@1 10.156 (3.661)	Prec@5 24.219 (12.259)
Epoch: [0][3970/14090]	Time 0.760 (0.775)	Data 0.001 (0.001)	Loss 4.4671 (5.2226)	Prec@1 8.594 (3.673)	Prec@5 28.906 (12.294)
Epoch: [0][3980/14090]	Time 0.757 (0.774)	Data 0.001 (0.001)	Loss 4.6475 (5.2208)	Prec@1 7.031 (3.688)	Prec@5 28.125 (12.329)
Epoch: [0][3990/14090]	Time 0.857 (0.774)	Data 0.001 (0.001)	Loss 4.2529 (5.2189)	Prec@1 8.594 (3.704)	Prec@5 28.125 (12.361)
Epoch: [0][4000/14090]	Time 0.737 (0.774)	Data 0.001 (0.001)	Loss 4.3683 (5.2170)	Prec@1 10.156 (3.716)	Prec@5 29.688 (12.396)
Epoch: [0][4010/14090]	Time 0.722 (0.774)	Data 0.001 (0.001)	Loss 4.2947 (5.2151)	Prec@1 12.500 (3.729)	Prec@5 30.469 (12.429)
Epoch: [0][4020/14090]	Time 0.773 (0.774)	Data 0.001 (0.001)	Loss 4.4556 (5.2132)	Prec@1 9.375 (3.743)	Prec@5 25.781 (12.463)
Epoch: [0][4030/14090]	Time 0.784 (0.774)	Data 0.001 (0.001)	Loss 4.3426 (5.2110)	Prec@1 12.500 (3.760)	Prec@5 28.906 (12.507)
Epoch: [0][4040/14090]	Time 0.753 (0.774)	Data 0.001 (0.001)	Loss 4.4172 (5.2091)	Prec@1 7.812 (3.771)	Prec@5 23.438 (12.542)
Epoch: [0][4050/14090]	Time 0.741 (0.774)	Data 0.001 (0.001)	Loss 4.2354 (5.2072)	Prec@1 14.062 (3.789)	Prec@5 34.375 (12.581)
Epoch: [0][4060/14090]	Time 0.908 (0.774)	Data 0.001 (0.001)	Loss 4.3863 (5.2052)	Prec@1 9.375 (3.802)	Prec@5 24.219 (12.621)
Epoch: [0][4070/14090]	Time 0.760 (0.774)	Data 0.001 (0.001)	Loss 4.4595 (5.2032)	Prec@1 11.719 (3.817)	Prec@5 22.656 (12.658)
Epoch: [0][4080/14090]	Time 0.759 (0.774)	Data 0.001 (0.001)	Loss 4.3343 (5.2015)	Prec@1 8.594 (3.831)	Prec@5 26.562 (12.692)
Epoch: [0][4090/14090]	Time 0.763 (0.774)	Data 0.002 (0.001)	Loss 4.6643 (5.1997)	Prec@1 7.031 (3.846)	Prec@5 24.219 (12.724)
Epoch: [0][4100/14090]	Time 0.756 (0.774)	Data 0.001 (0.001)	Loss 4.3076 (5.1977)	Prec@1 10.156 (3.863)	Prec@5 32.812 (12.765)
Epoch: [0][4110/14090]	Time 0.765 (0.774)	Data 0.001 (0.001)	Loss 4.3941 (5.1958)	Prec@1 8.594 (3.876)	Prec@5 26.562 (12.801)
Epoch: [0][4120/14090]	Time 0.757 (0.774)	Data 0.001 (0.001)	Loss 4.4674 (5.1938)	Prec@1 5.469 (3.890)	Prec@5 25.000 (12.841)
Epoch: [0][4130/14090]	Time 0.873 (0.774)	Data 0.001 (0.001)	Loss 4.3825 (5.1919)	Prec@1 7.812 (3.904)	Prec@5 28.125 (12.879)
Epoch: [0][4140/14090]	Time 0.752 (0.774)	Data 0.001 (0.001)	Loss 4.0528 (5.1898)	Prec@1 19.531 (3.923)	Prec@5 39.062 (12.920)
Epoch: [0][4150/14090]	Time 0.737 (0.774)	Data 0.001 (0.001)	Loss 4.5048 (5.1880)	Prec@1 10.938 (3.936)	Prec@5 28.125 (12.957)
Epoch: [0][4160/14090]	Time 0.755 (0.774)	Data 0.001 (0.001)	Loss 4.4541 (5.1860)	Prec@1 8.594 (3.950)	Prec@5 27.344 (12.995)
Epoch: [0][4170/14090]	Time 0.774 (0.774)	Data 0.001 (0.001)	Loss 4.2805 (5.1842)	Prec@1 13.281 (3.966)	Prec@5 33.594 (13.033)
Epoch: [0][4180/14090]	Time 0.744 (0.774)	Data 0.001 (0.001)	Loss 4.4903 (5.1824)	Prec@1 10.156 (3.980)	Prec@5 28.125 (13.066)
Epoch: [0][4190/14090]	Time 0.756 (0.774)	Data 0.001 (0.001)	Loss 4.3663 (5.1805)	Prec@1 9.375 (3.993)	Prec@5 28.125 (13.102)
Epoch: [0][4200/14090]	Time 0.879 (0.774)	Data 0.001 (0.001)	Loss 4.1882 (5.1787)	Prec@1 10.938 (4.006)	Prec@5 31.250 (13.139)
Epoch: [0][4210/14090]	Time 0.741 (0.774)	Data 0.001 (0.001)	Loss 4.2936 (5.1767)	Prec@1 14.062 (4.021)	Prec@5 27.344 (13.175)
Epoch: [0][4220/14090]	Time 0.742 (0.774)	Data 0.001 (0.001)	Loss 4.3096 (5.1749)	Prec@1 7.812 (4.035)	Prec@5 22.656 (13.210)
Epoch: [0][4230/14090]	Time 0.739 (0.774)	Data 0.000 (0.001)	Loss 4.6161 (5.1730)	Prec@1 10.938 (4.049)	Prec@5 25.000 (13.249)
Epoch: [0][4240/14090]	Time 0.736 (0.774)	Data 0.001 (0.001)	Loss 4.3574 (5.1712)	Prec@1 10.156 (4.060)	Prec@5 30.469 (13.281)
Epoch: [0][4250/14090]	Time 0.731 (0.774)	Data 0.001 (0.001)	Loss 4.3505 (5.1695)	Prec@1 10.156 (4.072)	Prec@5 29.688 (13.312)
Epoch: [0][4260/14090]	Time 0.742 (0.774)	Data 0.001 (0.001)	Loss 4.4899 (5.1679)	Prec@1 9.375 (4.083)	Prec@5 26.562 (13.343)
Epoch: [0][4270/14090]	Time 0.858 (0.774)	Data 0.001 (0.001)	Loss 4.3184 (5.1661)	Prec@1 12.500 (4.098)	Prec@5 32.031 (13.377)
Epoch: [0][4280/14090]	Time 0.761 (0.774)	Data 0.001 (0.001)	Loss 4.5385 (5.1643)	Prec@1 8.594 (4.112)	Prec@5 24.219 (13.410)
Epoch: [0][4290/14090]	Time 0.764 (0.774)	Data 0.001 (0.001)	Loss 4.3558 (5.1625)	Prec@1 16.406 (4.129)	Prec@5 31.250 (13.446)
Epoch: [0][4300/14090]	Time 0.755 (0.774)	Data 0.001 (0.001)	Loss 4.4142 (5.1606)	Prec@1 12.500 (4.147)	Prec@5 29.688 (13.484)
Epoch: [0][4310/14090]	Time 0.737 (0.774)	Data 0.001 (0.001)	Loss 4.3752 (5.1587)	Prec@1 9.375 (4.161)	Prec@5 27.344 (13.520)
Epoch: [0][4320/14090]	Time 0.754 (0.774)	Data 0.001 (0.001)	Loss 4.1048 (5.1569)	Prec@1 15.625 (4.176)	Prec@5 31.250 (13.554)
Epoch: [0][4330/14090]	Time 0.757 (0.774)	Data 0.001 (0.001)	Loss 4.3359 (5.1549)	Prec@1 7.812 (4.192)	Prec@5 30.469 (13.590)
Epoch: [0][4340/14090]	Time 0.843 (0.774)	Data 0.001 (0.001)	Loss 4.0867 (5.1530)	Prec@1 12.500 (4.207)	Prec@5 30.469 (13.628)
Epoch: [0][4350/14090]	Time 0.749 (0.774)	Data 0.001 (0.001)	Loss 4.2603 (5.1512)	Prec@1 7.031 (4.222)	Prec@5 26.562 (13.663)
Epoch: [0][4360/14090]	Time 0.758 (0.774)	Data 0.001 (0.001)	Loss 4.3067 (5.1495)	Prec@1 9.375 (4.235)	Prec@5 36.719 (13.698)
Epoch: [0][4370/14090]	Time 0.748 (0.774)	Data 0.001 (0.001)	Loss 4.2835 (5.1478)	Prec@1 14.062 (4.249)	Prec@5 27.344 (13.733)
Epoch: [0][4380/14090]	Time 0.758 (0.774)	Data 0.001 (0.001)	Loss 4.3785 (5.1460)	Prec@1 7.031 (4.263)	Prec@5 28.125 (13.769)
Epoch: [0][4390/14090]	Time 0.737 (0.774)	Data 0.001 (0.001)	Loss 4.4802 (5.1442)	Prec@1 10.156 (4.276)	Prec@5 28.906 (13.802)
Epoch: [0][4400/14090]	Time 0.756 (0.774)	Data 0.001 (0.001)	Loss 4.6086 (5.1422)	Prec@1 7.031 (4.292)	Prec@5 28.125 (13.838)
Epoch: [0][4410/14090]	Time 0.863 (0.774)	Data 0.001 (0.001)	Loss 4.6759 (5.1404)	Prec@1 4.688 (4.305)	Prec@5 20.312 (13.870)
Epoch: [0][4420/14090]	Time 0.728 (0.774)	Data 0.001 (0.001)	Loss 4.2542 (5.1386)	Prec@1 12.500 (4.319)	Prec@5 32.812 (13.905)
Epoch: [0][4430/14090]	Time 0.758 (0.774)	Data 0.001 (0.001)	Loss 4.3436 (5.1366)	Prec@1 9.375 (4.335)	Prec@5 29.688 (13.944)
Epoch: [0][4440/14090]	Time 0.769 (0.774)	Data 0.001 (0.001)	Loss 4.2856 (5.1349)	Prec@1 14.844 (4.344)	Prec@5 31.250 (13.974)
Epoch: [0][4450/14090]	Time 0.756 (0.774)	Data 0.001 (0.001)	Loss 4.3322 (5.1332)	Prec@1 7.812 (4.359)	Prec@5 25.000 (14.007)
Epoch: [0][4460/14090]	Time 0.755 (0.774)	Data 0.001 (0.001)	Loss 4.2035 (5.1315)	Prec@1 9.375 (4.372)	Prec@5 39.062 (14.040)
Epoch: [0][4470/14090]	Time 0.760 (0.774)	Data 0.001 (0.001)	Loss 4.4950 (5.1299)	Prec@1 8.594 (4.384)	Prec@5 21.094 (14.069)
Epoch: [0][4480/14090]	Time 0.860 (0.774)	Data 0.001 (0.001)	Loss 4.2097 (5.1281)	Prec@1 13.281 (4.398)	Prec@5 32.031 (14.104)
Epoch: [0][4490/14090]	Time 0.769 (0.774)	Data 0.001 (0.001)	Loss 4.6446 (5.1264)	Prec@1 7.812 (4.411)	Prec@5 21.094 (14.136)
Epoch: [0][4500/14090]	Time 0.749 (0.774)	Data 0.001 (0.001)	Loss 4.4020 (5.1248)	Prec@1 10.156 (4.421)	Prec@5 33.594 (14.167)
Epoch: [0][4510/14090]	Time 0.736 (0.774)	Data 0.001 (0.001)	Loss 4.3877 (5.1229)	Prec@1 6.250 (4.432)	Prec@5 24.219 (14.199)
Epoch: [0][4520/14090]	Time 0.745 (0.774)	Data 0.001 (0.001)	Loss 4.3493 (5.1211)	Prec@1 12.500 (4.445)	Prec@5 33.594 (14.235)
Epoch: [0][4530/14090]	Time 0.749 (0.774)	Data 0.001 (0.001)	Loss 4.2116 (5.1193)	Prec@1 6.250 (4.456)	Prec@5 32.031 (14.270)
Epoch: [0][4540/14090]	Time 0.732 (0.774)	Data 0.001 (0.001)	Loss 4.0547 (5.1175)	Prec@1 10.156 (4.470)	Prec@5 33.594 (14.308)
Epoch: [0][4550/14090]	Time 0.881 (0.774)	Data 0.001 (0.001)	Loss 4.2426 (5.1157)	Prec@1 10.938 (4.481)	Prec@5 30.469 (14.343)
Epoch: [0][4560/14090]	Time 0.750 (0.774)	Data 0.001 (0.001)	Loss 4.1834 (5.1141)	Prec@1 17.969 (4.494)	Prec@5 37.500 (14.376)
Epoch: [0][4570/14090]	Time 0.740 (0.774)	Data 0.001 (0.001)	Loss 4.4166 (5.1124)	Prec@1 12.500 (4.507)	Prec@5 35.156 (14.410)
Epoch: [0][4580/14090]	Time 0.747 (0.774)	Data 0.001 (0.001)	Loss 4.2502 (5.1105)	Prec@1 11.719 (4.521)	Prec@5 28.906 (14.448)
Epoch: [0][4590/14090]	Time 0.753 (0.774)	Data 0.001 (0.001)	Loss 4.0810 (5.1086)	Prec@1 9.375 (4.535)	Prec@5 34.375 (14.488)
Epoch: [0][4600/14090]	Time 0.763 (0.774)	Data 0.001 (0.001)	Loss 4.4132 (5.1069)	Prec@1 7.812 (4.546)	Prec@5 33.594 (14.527)
Epoch: [0][4610/14090]	Time 0.724 (0.773)	Data 0.001 (0.001)	Loss 4.0958 (5.1051)	Prec@1 14.844 (4.561)	Prec@5 34.375 (14.563)
Epoch: [0][4620/14090]	Time 0.891 (0.773)	Data 0.001 (0.001)	Loss 4.3246 (5.1034)	Prec@1 12.500 (4.573)	Prec@5 28.125 (14.595)
Epoch: [0][4630/14090]	Time 0.732 (0.773)	Data 0.001 (0.001)	Loss 3.9387 (5.1016)	Prec@1 17.188 (4.588)	Prec@5 42.969 (14.633)
Epoch: [0][4640/14090]	Time 0.746 (0.773)	Data 0.001 (0.001)	Loss 4.4220 (5.0998)	Prec@1 7.812 (4.601)	Prec@5 28.125 (14.667)
Epoch: [0][4650/14090]	Time 0.734 (0.773)	Data 0.001 (0.001)	Loss 4.2944 (5.0980)	Prec@1 7.812 (4.614)	Prec@5 28.125 (14.701)
Epoch: [0][4660/14090]	Time 0.767 (0.773)	Data 0.001 (0.001)	Loss 4.1206 (5.0962)	Prec@1 16.406 (4.628)	Prec@5 35.938 (14.738)
Epoch: [0][4670/14090]	Time 0.775 (0.773)	Data 0.001 (0.001)	Loss 4.0694 (5.0946)	Prec@1 14.062 (4.643)	Prec@5 35.938 (14.770)
Epoch: [0][4680/14090]	Time 0.752 (0.773)	Data 0.001 (0.001)	Loss 4.3821 (5.0928)	Prec@1 10.938 (4.656)	Prec@5 34.375 (14.809)
Epoch: [0][4690/14090]	Time 0.855 (0.773)	Data 0.001 (0.001)	Loss 3.9582 (5.0912)	Prec@1 17.969 (4.667)	Prec@5 38.281 (14.842)
Epoch: [0][4700/14090]	Time 0.800 (0.773)	Data 0.001 (0.001)	Loss 4.1367 (5.0895)	Prec@1 10.938 (4.678)	Prec@5 35.156 (14.872)
Epoch: [0][4710/14090]	Time 0.765 (0.773)	Data 0.000 (0.001)	Loss 4.2058 (5.0879)	Prec@1 7.812 (4.690)	Prec@5 32.031 (14.904)
Epoch: [0][4720/14090]	Time 0.752 (0.773)	Data 0.001 (0.001)	Loss 3.8835 (5.0860)	Prec@1 17.188 (4.705)	Prec@5 47.656 (14.943)
Epoch: [0][4730/14090]	Time 0.780 (0.773)	Data 0.001 (0.001)	Loss 4.3170 (5.0841)	Prec@1 10.938 (4.721)	Prec@5 35.156 (14.982)
Epoch: [0][4740/14090]	Time 0.767 (0.773)	Data 0.001 (0.001)	Loss 4.1922 (5.0824)	Prec@1 10.156 (4.733)	Prec@5 29.688 (15.014)
Epoch: [0][4750/14090]	Time 0.727 (0.773)	Data 0.001 (0.001)	Loss 4.2643 (5.0808)	Prec@1 8.594 (4.746)	Prec@5 27.344 (15.048)
Epoch: [0][4760/14090]	Time 0.869 (0.773)	Data 0.001 (0.001)	Loss 3.8933 (5.0791)	Prec@1 17.188 (4.760)	Prec@5 35.938 (15.080)
Epoch: [0][4770/14090]	Time 0.755 (0.773)	Data 0.001 (0.001)	Loss 4.1595 (5.0774)	Prec@1 10.156 (4.771)	Prec@5 30.469 (15.111)
Epoch: [0][4780/14090]	Time 0.728 (0.773)	Data 0.001 (0.001)	Loss 4.3788 (5.0757)	Prec@1 12.500 (4.786)	Prec@5 28.906 (15.144)
Epoch: [0][4790/14090]	Time 0.772 (0.773)	Data 0.001 (0.001)	Loss 4.0192 (5.0739)	Prec@1 12.500 (4.798)	Prec@5 33.594 (15.180)
Epoch: [0][4800/14090]	Time 0.776 (0.773)	Data 0.001 (0.001)	Loss 4.2987 (5.0721)	Prec@1 10.938 (4.814)	Prec@5 28.906 (15.214)
Epoch: [0][4810/14090]	Time 0.764 (0.773)	Data 0.001 (0.001)	Loss 4.0538 (5.0704)	Prec@1 14.062 (4.830)	Prec@5 35.156 (15.253)
Epoch: [0][4820/14090]	Time 0.746 (0.773)	Data 0.001 (0.001)	Loss 4.0737 (5.0686)	Prec@1 14.844 (4.845)	Prec@5 39.062 (15.289)
Epoch: [0][4830/14090]	Time 0.893 (0.773)	Data 0.001 (0.001)	Loss 3.9449 (5.0668)	Prec@1 17.188 (4.858)	Prec@5 35.938 (15.319)
Epoch: [0][4840/14090]	Time 0.732 (0.773)	Data 0.001 (0.001)	Loss 4.1850 (5.0651)	Prec@1 13.281 (4.873)	Prec@5 35.938 (15.353)
Epoch: [0][4850/14090]	Time 0.729 (0.773)	Data 0.001 (0.001)	Loss 4.5110 (5.0634)	Prec@1 7.812 (4.889)	Prec@5 27.344 (15.386)
Epoch: [0][4860/14090]	Time 0.780 (0.773)	Data 0.001 (0.001)	Loss 4.3585 (5.0619)	Prec@1 6.250 (4.899)	Prec@5 25.000 (15.415)
Epoch: [0][4870/14090]	Time 0.747 (0.773)	Data 0.001 (0.001)	Loss 4.2835 (5.0602)	Prec@1 10.938 (4.912)	Prec@5 31.250 (15.448)
Epoch: [0][4880/14090]	Time 0.734 (0.773)	Data 0.001 (0.001)	Loss 4.4741 (5.0587)	Prec@1 10.156 (4.924)	Prec@5 28.125 (15.475)
Epoch: [0][4890/14090]	Time 0.748 (0.773)	Data 0.001 (0.001)	Loss 3.9188 (5.0570)	Prec@1 12.500 (4.936)	Prec@5 36.719 (15.508)
Epoch: [0][4900/14090]	Time 0.873 (0.773)	Data 0.001 (0.001)	Loss 4.3066 (5.0553)	Prec@1 8.594 (4.946)	Prec@5 23.438 (15.538)
Epoch: [0][4910/14090]	Time 0.760 (0.773)	Data 0.001 (0.001)	Loss 4.2352 (5.0537)	Prec@1 9.375 (4.957)	Prec@5 30.469 (15.569)
Epoch: [0][4920/14090]	Time 0.760 (0.773)	Data 0.001 (0.001)	Loss 4.4028 (5.0521)	Prec@1 7.031 (4.971)	Prec@5 25.781 (15.602)
Epoch: [0][4930/14090]	Time 0.749 (0.773)	Data 0.001 (0.001)	Loss 4.2422 (5.0505)	Prec@1 8.594 (4.984)	Prec@5 29.688 (15.629)
Epoch: [0][4940/14090]	Time 0.739 (0.773)	Data 0.001 (0.001)	Loss 4.1512 (5.0489)	Prec@1 10.938 (4.999)	Prec@5 31.250 (15.661)
Epoch: [0][4950/14090]	Time 0.757 (0.773)	Data 0.001 (0.001)	Loss 4.2232 (5.0473)	Prec@1 12.500 (5.013)	Prec@5 35.156 (15.692)
Epoch: [0][4960/14090]	Time 0.730 (0.773)	Data 0.001 (0.001)	Loss 4.1940 (5.0457)	Prec@1 14.844 (5.026)	Prec@5 33.594 (15.724)
Epoch: [0][4970/14090]	Time 0.862 (0.773)	Data 0.001 (0.001)	Loss 4.0900 (5.0440)	Prec@1 13.281 (5.040)	Prec@5 38.281 (15.760)
Epoch: [0][4980/14090]	Time 0.741 (0.773)	Data 0.001 (0.001)	Loss 4.3630 (5.0425)	Prec@1 8.594 (5.052)	Prec@5 25.000 (15.787)
Epoch: [0][4990/14090]	Time 0.752 (0.773)	Data 0.001 (0.001)	Loss 4.1708 (5.0409)	Prec@1 13.281 (5.066)	Prec@5 32.812 (15.819)
Epoch: [0][5000/14090]	Time 0.773 (0.773)	Data 0.001 (0.001)	Loss 4.1053 (5.0391)	Prec@1 12.500 (5.078)	Prec@5 40.625 (15.852)
Epoch: [0][5010/14090]	Time 0.767 (0.773)	Data 0.001 (0.001)	Loss 4.3567 (5.0375)	Prec@1 9.375 (5.091)	Prec@5 35.938 (15.885)
Epoch: [0][5020/14090]	Time 0.773 (0.773)	Data 0.001 (0.001)	Loss 4.3108 (5.0359)	Prec@1 10.156 (5.104)	Prec@5 27.344 (15.918)
Epoch: [0][5030/14090]	Time 0.774 (0.773)	Data 0.001 (0.001)	Loss 4.1007 (5.0343)	Prec@1 14.844 (5.117)	Prec@5 32.812 (15.950)
Epoch: [0][5040/14090]	Time 0.828 (0.773)	Data 0.001 (0.001)	Loss 4.0647 (5.0326)	Prec@1 12.500 (5.135)	Prec@5 36.719 (15.984)
Epoch: [0][5050/14090]	Time 0.756 (0.773)	Data 0.001 (0.001)	Loss 4.1934 (5.0310)	Prec@1 14.062 (5.148)	Prec@5 36.719 (16.016)
Epoch: [0][5060/14090]	Time 0.750 (0.773)	Data 0.001 (0.001)	Loss 4.1871 (5.0295)	Prec@1 10.156 (5.162)	Prec@5 32.031 (16.048)
Epoch: [0][5070/14090]	Time 0.771 (0.773)	Data 0.001 (0.001)	Loss 3.9441 (5.0279)	Prec@1 15.625 (5.178)	Prec@5 39.062 (16.080)
Epoch: [0][5080/14090]	Time 0.775 (0.773)	Data 0.001 (0.001)	Loss 4.2763 (5.0261)	Prec@1 9.375 (5.190)	Prec@5 29.688 (16.116)
Epoch: [0][5090/14090]	Time 0.744 (0.773)	Data 0.001 (0.001)	Loss 4.1439 (5.0244)	Prec@1 14.062 (5.204)	Prec@5 39.844 (16.150)
Epoch: [0][5100/14090]	Time 0.732 (0.773)	Data 0.001 (0.001)	Loss 3.9742 (5.0228)	Prec@1 17.969 (5.219)	Prec@5 38.281 (16.183)
Epoch: [0][5110/14090]	Time 0.911 (0.773)	Data 0.001 (0.001)	Loss 4.1566 (5.0212)	Prec@1 10.938 (5.231)	Prec@5 30.469 (16.214)
Epoch: [0][5120/14090]	Time 0.740 (0.773)	Data 0.001 (0.001)	Loss 3.9305 (5.0194)	Prec@1 8.594 (5.245)	Prec@5 33.594 (16.249)
Epoch: [0][5130/14090]	Time 0.757 (0.773)	Data 0.001 (0.001)	Loss 4.2537 (5.0178)	Prec@1 10.938 (5.258)	Prec@5 32.031 (16.283)
Epoch: [0][5140/14090]	Time 0.734 (0.773)	Data 0.001 (0.001)	Loss 4.3017 (5.0163)	Prec@1 14.062 (5.272)	Prec@5 32.031 (16.313)
Epoch: [0][5150/14090]	Time 0.735 (0.773)	Data 0.001 (0.001)	Loss 4.2841 (5.0147)	Prec@1 15.625 (5.286)	Prec@5 32.031 (16.344)
Epoch: [0][5160/14090]	Time 0.761 (0.773)	Data 0.001 (0.001)	Loss 4.1121 (5.0131)	Prec@1 10.938 (5.300)	Prec@5 36.719 (16.378)
Epoch: [0][5170/14090]	Time 0.745 (0.773)	Data 0.001 (0.001)	Loss 3.9844 (5.0113)	Prec@1 17.969 (5.313)	Prec@5 36.719 (16.411)
Epoch: [0][5180/14090]	Time 0.922 (0.773)	Data 0.001 (0.001)	Loss 4.2438 (5.0097)	Prec@1 16.406 (5.329)	Prec@5 28.125 (16.445)
Epoch: [0][5190/14090]	Time 0.765 (0.773)	Data 0.001 (0.001)	Loss 4.1368 (5.0081)	Prec@1 15.625 (5.344)	Prec@5 31.250 (16.477)
Epoch: [0][5200/14090]	Time 0.742 (0.773)	Data 0.001 (0.001)	Loss 4.1405 (5.0063)	Prec@1 15.625 (5.359)	Prec@5 30.469 (16.515)
Epoch: [0][5210/14090]	Time 0.746 (0.773)	Data 0.001 (0.001)	Loss 4.2160 (5.0048)	Prec@1 10.938 (5.372)	Prec@5 33.594 (16.548)
Epoch: [0][5220/14090]	Time 0.764 (0.773)	Data 0.001 (0.001)	Loss 4.0269 (5.0031)	Prec@1 15.625 (5.386)	Prec@5 35.156 (16.583)
Epoch: [0][5230/14090]	Time 0.755 (0.773)	Data 0.001 (0.001)	Loss 4.0302 (5.0015)	Prec@1 10.938 (5.399)	Prec@5 35.156 (16.614)
Epoch: [0][5240/14090]	Time 0.772 (0.773)	Data 0.001 (0.001)	Loss 3.8937 (4.9997)	Prec@1 12.500 (5.414)	Prec@5 37.500 (16.649)
Epoch: [0][5250/14090]	Time 0.875 (0.773)	Data 0.001 (0.001)	Loss 4.2860 (4.9981)	Prec@1 10.156 (5.429)	Prec@5 31.250 (16.682)
Epoch: [0][5260/14090]	Time 0.755 (0.773)	Data 0.001 (0.001)	Loss 3.9567 (4.9965)	Prec@1 14.844 (5.446)	Prec@5 36.719 (16.715)
Epoch: [0][5270/14090]	Time 0.756 (0.773)	Data 0.001 (0.001)	Loss 4.4047 (4.9946)	Prec@1 7.812 (5.461)	Prec@5 30.469 (16.755)
Epoch: [0][5280/14090]	Time 0.776 (0.773)	Data 0.001 (0.001)	Loss 4.1162 (4.9931)	Prec@1 17.188 (5.475)	Prec@5 39.062 (16.787)
Epoch: [0][5290/14090]	Time 0.748 (0.773)	Data 0.001 (0.001)	Loss 4.1889 (4.9915)	Prec@1 13.281 (5.489)	Prec@5 33.594 (16.817)
Epoch: [0][5300/14090]	Time 0.760 (0.773)	Data 0.001 (0.001)	Loss 3.9492 (4.9900)	Prec@1 17.188 (5.501)	Prec@5 32.031 (16.849)
Epoch: [0][5310/14090]	Time 0.754 (0.773)	Data 0.001 (0.001)	Loss 4.1746 (4.9885)	Prec@1 10.156 (5.513)	Prec@5 32.812 (16.877)
Epoch: [0][5320/14090]	Time 0.874 (0.773)	Data 0.001 (0.001)	Loss 4.0611 (4.9869)	Prec@1 18.750 (5.527)	Prec@5 37.500 (16.905)
Epoch: [0][5330/14090]	Time 0.750 (0.773)	Data 0.001 (0.001)	Loss 3.8215 (4.9850)	Prec@1 14.062 (5.543)	Prec@5 37.500 (16.941)
Epoch: [0][5340/14090]	Time 0.750 (0.773)	Data 0.001 (0.001)	Loss 4.0765 (4.9834)	Prec@1 10.938 (5.557)	Prec@5 36.719 (16.978)
Epoch: [0][5350/14090]	Time 0.758 (0.773)	Data 0.001 (0.001)	Loss 4.1058 (4.9818)	Prec@1 15.625 (5.573)	Prec@5 35.156 (17.011)
Epoch: [0][5360/14090]	Time 0.754 (0.773)	Data 0.001 (0.001)	Loss 4.1625 (4.9802)	Prec@1 10.156 (5.586)	Prec@5 29.688 (17.039)
Epoch: [0][5370/14090]	Time 0.768 (0.773)	Data 0.001 (0.001)	Loss 3.9189 (4.9786)	Prec@1 12.500 (5.599)	Prec@5 39.844 (17.076)
Epoch: [0][5380/14090]	Time 0.743 (0.773)	Data 0.001 (0.001)	Loss 3.8597 (4.9769)	Prec@1 14.062 (5.614)	Prec@5 41.406 (17.108)
Epoch: [0][5390/14090]	Time 0.882 (0.773)	Data 0.001 (0.001)	Loss 3.9506 (4.9753)	Prec@1 14.844 (5.629)	Prec@5 37.500 (17.140)
Epoch: [0][5400/14090]	Time 0.740 (0.773)	Data 0.001 (0.001)	Loss 4.1909 (4.9738)	Prec@1 10.938 (5.641)	Prec@5 31.250 (17.169)
Epoch: [0][5410/14090]	Time 0.749 (0.773)	Data 0.001 (0.001)	Loss 4.2126 (4.9722)	Prec@1 13.281 (5.655)	Prec@5 33.594 (17.202)
Epoch: [0][5420/14090]	Time 0.730 (0.773)	Data 0.001 (0.001)	Loss 4.3655 (4.9706)	Prec@1 8.594 (5.668)	Prec@5 28.906 (17.234)
Epoch: [0][5430/14090]	Time 0.728 (0.773)	Data 0.001 (0.001)	Loss 4.0371 (4.9690)	Prec@1 14.062 (5.682)	Prec@5 32.031 (17.263)
Epoch: [0][5440/14090]	Time 0.736 (0.773)	Data 0.001 (0.001)	Loss 4.1465 (4.9675)	Prec@1 8.594 (5.696)	Prec@5 31.250 (17.294)
Epoch: [0][5450/14090]	Time 0.761 (0.773)	Data 0.002 (0.001)	Loss 4.2721 (4.9660)	Prec@1 14.062 (5.708)	Prec@5 30.469 (17.323)
Epoch: [0][5460/14090]	Time 0.854 (0.773)	Data 0.001 (0.001)	Loss 3.8827 (4.9645)	Prec@1 19.531 (5.721)	Prec@5 42.969 (17.355)
Epoch: [0][5470/14090]	Time 0.762 (0.773)	Data 0.001 (0.001)	Loss 4.2184 (4.9630)	Prec@1 7.812 (5.734)	Prec@5 32.031 (17.387)
Epoch: [0][5480/14090]	Time 0.731 (0.773)	Data 0.001 (0.001)	Loss 3.9615 (4.9616)	Prec@1 16.406 (5.747)	Prec@5 42.188 (17.418)
Epoch: [0][5490/14090]	Time 0.752 (0.773)	Data 0.001 (0.001)	Loss 4.0515 (4.9601)	Prec@1 9.375 (5.758)	Prec@5 33.594 (17.451)
Epoch: [0][5500/14090]	Time 0.764 (0.773)	Data 0.001 (0.001)	Loss 3.8800 (4.9585)	Prec@1 15.625 (5.773)	Prec@5 41.406 (17.483)
Epoch: [0][5510/14090]	Time 0.773 (0.773)	Data 0.001 (0.001)	Loss 4.2336 (4.9571)	Prec@1 10.938 (5.786)	Prec@5 32.812 (17.511)
Epoch: [0][5520/14090]	Time 0.739 (0.773)	Data 0.001 (0.001)	Loss 4.0889 (4.9555)	Prec@1 18.750 (5.802)	Prec@5 37.500 (17.546)
Epoch: [0][5530/14090]	Time 0.852 (0.773)	Data 0.001 (0.001)	Loss 4.0616 (4.9539)	Prec@1 14.062 (5.819)	Prec@5 35.938 (17.582)
Epoch: [0][5540/14090]	Time 0.731 (0.773)	Data 0.001 (0.001)	Loss 4.1399 (4.9523)	Prec@1 12.500 (5.832)	Prec@5 37.500 (17.614)
Epoch: [0][5550/14090]	Time 0.750 (0.773)	Data 0.001 (0.001)	Loss 3.9263 (4.9509)	Prec@1 22.656 (5.844)	Prec@5 42.188 (17.643)
Epoch: [0][5560/14090]	Time 0.725 (0.773)	Data 0.001 (0.001)	Loss 4.1849 (4.9493)	Prec@1 12.500 (5.858)	Prec@5 33.594 (17.675)
Epoch: [0][5570/14090]	Time 0.775 (0.773)	Data 0.001 (0.001)	Loss 4.0775 (4.9477)	Prec@1 9.375 (5.872)	Prec@5 38.281 (17.709)
Epoch: [0][5580/14090]	Time 0.770 (0.773)	Data 0.001 (0.001)	Loss 4.1888 (4.9459)	Prec@1 14.844 (5.892)	Prec@5 35.156 (17.747)
Epoch: [0][5590/14090]	Time 0.757 (0.773)	Data 0.001 (0.001)	Loss 4.1766 (4.9443)	Prec@1 10.938 (5.908)	Prec@5 31.250 (17.782)
Epoch: [0][5600/14090]	Time 0.856 (0.773)	Data 0.001 (0.001)	Loss 4.0045 (4.9429)	Prec@1 15.625 (5.918)	Prec@5 35.156 (17.809)
Epoch: [0][5610/14090]	Time 0.755 (0.773)	Data 0.001 (0.001)	Loss 4.0809 (4.9414)	Prec@1 14.844 (5.929)	Prec@5 36.719 (17.839)
Epoch: [0][5620/14090]	Time 0.763 (0.773)	Data 0.001 (0.001)	Loss 4.2045 (4.9399)	Prec@1 16.406 (5.940)	Prec@5 32.031 (17.869)
Epoch: [0][5630/14090]	Time 0.769 (0.773)	Data 0.001 (0.001)	Loss 3.9667 (4.9382)	Prec@1 15.625 (5.955)	Prec@5 37.500 (17.904)
Epoch: [0][5640/14090]	Time 0.769 (0.773)	Data 0.001 (0.001)	Loss 4.1686 (4.9366)	Prec@1 10.156 (5.969)	Prec@5 36.719 (17.935)
Epoch: [0][5650/14090]	Time 0.754 (0.773)	Data 0.001 (0.001)	Loss 3.9752 (4.9352)	Prec@1 11.719 (5.978)	Prec@5 35.938 (17.963)
Epoch: [0][5660/14090]	Time 0.752 (0.773)	Data 0.001 (0.001)	Loss 4.0929 (4.9336)	Prec@1 13.281 (5.995)	Prec@5 33.594 (17.994)
Epoch: [0][5670/14090]	Time 0.861 (0.773)	Data 0.001 (0.001)	Loss 4.0137 (4.9319)	Prec@1 14.062 (6.012)	Prec@5 38.281 (18.030)
Epoch: [0][5680/14090]	Time 0.753 (0.773)	Data 0.001 (0.001)	Loss 3.9873 (4.9304)	Prec@1 10.938 (6.026)	Prec@5 37.500 (18.062)
Epoch: [0][5690/14090]	Time 0.735 (0.773)	Data 0.001 (0.001)	Loss 4.0765 (4.9290)	Prec@1 11.719 (6.038)	Prec@5 35.938 (18.093)
Epoch: [0][5700/14090]	Time 0.728 (0.773)	Data 0.001 (0.001)	Loss 3.8931 (4.9274)	Prec@1 12.500 (6.053)	Prec@5 36.719 (18.127)
Epoch: [0][5710/14090]	Time 0.771 (0.773)	Data 0.001 (0.001)	Loss 4.2436 (4.9261)	Prec@1 10.938 (6.062)	Prec@5 32.031 (18.152)
Epoch: [0][5720/14090]	Time 0.777 (0.773)	Data 0.001 (0.001)	Loss 4.1008 (4.9246)	Prec@1 14.844 (6.075)	Prec@5 35.156 (18.181)
Epoch: [0][5730/14090]	Time 0.747 (0.773)	Data 0.001 (0.001)	Loss 4.1302 (4.9231)	Prec@1 10.156 (6.088)	Prec@5 34.375 (18.213)
Epoch: [0][5740/14090]	Time 0.869 (0.773)	Data 0.001 (0.001)	Loss 3.9887 (4.9215)	Prec@1 14.062 (6.103)	Prec@5 35.156 (18.243)
Epoch: [0][5750/14090]	Time 0.751 (0.773)	Data 0.001 (0.001)	Loss 4.0889 (4.9200)	Prec@1 17.188 (6.118)	Prec@5 34.375 (18.273)
Epoch: [0][5760/14090]	Time 0.739 (0.773)	Data 0.001 (0.001)	Loss 3.7078 (4.9185)	Prec@1 18.750 (6.134)	Prec@5 39.062 (18.306)
Epoch: [0][5770/14090]	Time 0.741 (0.773)	Data 0.001 (0.001)	Loss 3.7969 (4.9170)	Prec@1 17.188 (6.148)	Prec@5 38.281 (18.335)
Epoch: [0][5780/14090]	Time 0.775 (0.773)	Data 0.003 (0.001)	Loss 4.2587 (4.9155)	Prec@1 10.156 (6.159)	Prec@5 25.781 (18.365)
Epoch: [0][5790/14090]	Time 0.743 (0.773)	Data 0.001 (0.001)	Loss 4.1853 (4.9140)	Prec@1 11.719 (6.171)	Prec@5 35.156 (18.396)
Epoch: [0][5800/14090]	Time 0.765 (0.773)	Data 0.001 (0.001)	Loss 4.2492 (4.9124)	Prec@1 6.250 (6.185)	Prec@5 32.031 (18.426)
Epoch: [0][5810/14090]	Time 0.882 (0.773)	Data 0.001 (0.001)	Loss 4.0233 (4.9110)	Prec@1 13.281 (6.198)	Prec@5 38.281 (18.455)
Epoch: [0][5820/14090]	Time 0.737 (0.773)	Data 0.001 (0.001)	Loss 4.1570 (4.9095)	Prec@1 8.594 (6.210)	Prec@5 32.812 (18.485)
Epoch: [0][5830/14090]	Time 0.731 (0.773)	Data 0.001 (0.001)	Loss 4.0167 (4.9080)	Prec@1 14.844 (6.226)	Prec@5 40.625 (18.520)
Epoch: [0][5840/14090]	Time 0.737 (0.773)	Data 0.001 (0.001)	Loss 4.0837 (4.9065)	Prec@1 13.281 (6.240)	Prec@5 35.938 (18.549)
Epoch: [0][5850/14090]	Time 0.784 (0.773)	Data 0.001 (0.001)	Loss 4.0559 (4.9049)	Prec@1 14.844 (6.256)	Prec@5 38.281 (18.584)
Epoch: [0][5860/14090]	Time 0.765 (0.773)	Data 0.001 (0.001)	Loss 3.8268 (4.9033)	Prec@1 15.625 (6.271)	Prec@5 45.312 (18.619)
Epoch: [0][5870/14090]	Time 0.765 (0.772)	Data 0.001 (0.001)	Loss 3.8531 (4.9016)	Prec@1 18.750 (6.289)	Prec@5 40.625 (18.655)
Epoch: [0][5880/14090]	Time 0.853 (0.773)	Data 0.001 (0.001)	Loss 4.1708 (4.9001)	Prec@1 14.062 (6.302)	Prec@5 27.344 (18.686)
Epoch: [0][5890/14090]	Time 0.748 (0.772)	Data 0.001 (0.001)	Loss 3.7710 (4.8985)	Prec@1 17.188 (6.317)	Prec@5 43.750 (18.719)
Epoch: [0][5900/14090]	Time 0.751 (0.772)	Data 0.001 (0.001)	Loss 4.1595 (4.8971)	Prec@1 13.281 (6.330)	Prec@5 35.156 (18.751)
Epoch: [0][5910/14090]	Time 0.779 (0.772)	Data 0.001 (0.001)	Loss 4.0624 (4.8957)	Prec@1 14.062 (6.342)	Prec@5 37.500 (18.778)
Epoch: [0][5920/14090]	Time 0.739 (0.772)	Data 0.001 (0.001)	Loss 3.9129 (4.8943)	Prec@1 14.844 (6.356)	Prec@5 39.844 (18.809)
Epoch: [0][5930/14090]	Time 0.743 (0.772)	Data 0.001 (0.001)	Loss 3.6559 (4.8927)	Prec@1 21.094 (6.371)	Prec@5 42.969 (18.843)
Epoch: [0][5940/14090]	Time 0.738 (0.772)	Data 0.001 (0.001)	Loss 3.8387 (4.8912)	Prec@1 13.281 (6.386)	Prec@5 37.500 (18.876)
Epoch: [0][5950/14090]	Time 0.843 (0.772)	Data 0.001 (0.001)	Loss 3.8924 (4.8896)	Prec@1 20.312 (6.401)	Prec@5 37.500 (18.907)
Epoch: [0][5960/14090]	Time 0.761 (0.772)	Data 0.001 (0.001)	Loss 3.8218 (4.8882)	Prec@1 19.531 (6.416)	Prec@5 43.750 (18.939)
Epoch: [0][5970/14090]	Time 0.753 (0.772)	Data 0.001 (0.001)	Loss 3.9069 (4.8867)	Prec@1 15.625 (6.432)	Prec@5 41.406 (18.974)
Epoch: [0][5980/14090]	Time 0.735 (0.772)	Data 0.001 (0.001)	Loss 3.9166 (4.8850)	Prec@1 14.062 (6.446)	Prec@5 37.500 (19.007)
Epoch: [0][5990/14090]	Time 0.732 (0.772)	Data 0.001 (0.001)	Loss 4.2018 (4.8836)	Prec@1 10.938 (6.459)	Prec@5 33.594 (19.039)
Epoch: [0][6000/14090]	Time 0.754 (0.772)	Data 0.001 (0.001)	Loss 4.0324 (4.8821)	Prec@1 14.062 (6.474)	Prec@5 36.719 (19.070)
Epoch: [0][6010/14090]	Time 0.771 (0.772)	Data 0.001 (0.001)	Loss 4.0972 (4.8805)	Prec@1 17.188 (6.490)	Prec@5 38.281 (19.101)
Epoch: [0][6020/14090]	Time 0.822 (0.772)	Data 0.001 (0.001)	Loss 4.0871 (4.8790)	Prec@1 10.938 (6.503)	Prec@5 35.938 (19.132)
Epoch: [0][6030/14090]	Time 0.735 (0.772)	Data 0.001 (0.001)	Loss 4.0255 (4.8774)	Prec@1 12.500 (6.516)	Prec@5 35.938 (19.163)
Epoch: [0][6040/14090]	Time 0.760 (0.772)	Data 0.001 (0.001)	Loss 3.6298 (4.8759)	Prec@1 21.875 (6.532)	Prec@5 43.750 (19.194)
Epoch: [0][6050/14090]	Time 0.766 (0.772)	Data 0.001 (0.001)	Loss 3.9270 (4.8745)	Prec@1 14.062 (6.544)	Prec@5 41.406 (19.223)
Epoch: [0][6060/14090]	Time 0.746 (0.772)	Data 0.001 (0.001)	Loss 3.9281 (4.8732)	Prec@1 11.719 (6.555)	Prec@5 35.156 (19.249)
Epoch: [0][6070/14090]	Time 0.758 (0.772)	Data 0.001 (0.001)	Loss 3.9518 (4.8717)	Prec@1 16.406 (6.570)	Prec@5 35.938 (19.280)
Epoch: [0][6080/14090]	Time 0.779 (0.772)	Data 0.001 (0.001)	Loss 3.9921 (4.8703)	Prec@1 21.875 (6.586)	Prec@5 38.281 (19.310)
Epoch: [0][6090/14090]	Time 0.853 (0.772)	Data 0.001 (0.001)	Loss 4.1452 (4.8689)	Prec@1 13.281 (6.600)	Prec@5 32.812 (19.340)
Epoch: [0][6100/14090]	Time 0.734 (0.772)	Data 0.001 (0.001)	Loss 4.0356 (4.8673)	Prec@1 15.625 (6.618)	Prec@5 35.938 (19.374)
Epoch: [0][6110/14090]	Time 0.760 (0.772)	Data 0.001 (0.001)	Loss 3.9628 (4.8659)	Prec@1 14.844 (6.630)	Prec@5 36.719 (19.405)
Epoch: [0][6120/14090]	Time 0.734 (0.772)	Data 0.001 (0.001)	Loss 3.7232 (4.8645)	Prec@1 18.750 (6.643)	Prec@5 44.531 (19.432)
Epoch: [0][6130/14090]	Time 0.756 (0.772)	Data 0.001 (0.001)	Loss 3.9497 (4.8630)	Prec@1 14.062 (6.657)	Prec@5 34.375 (19.464)
Epoch: [0][6140/14090]	Time 0.770 (0.772)	Data 0.001 (0.001)	Loss 3.8938 (4.8615)	Prec@1 19.531 (6.671)	Prec@5 40.625 (19.495)
Epoch: [0][6150/14090]	Time 0.744 (0.772)	Data 0.001 (0.001)	Loss 4.0336 (4.8601)	Prec@1 14.062 (6.686)	Prec@5 39.844 (19.522)
Epoch: [0][6160/14090]	Time 0.916 (0.772)	Data 0.001 (0.001)	Loss 3.6484 (4.8586)	Prec@1 21.094 (6.703)	Prec@5 42.969 (19.554)
Epoch: [0][6170/14090]	Time 0.762 (0.772)	Data 0.001 (0.001)	Loss 3.9336 (4.8573)	Prec@1 16.406 (6.718)	Prec@5 40.625 (19.584)
Epoch: [0][6180/14090]	Time 0.750 (0.772)	Data 0.002 (0.001)	Loss 4.0995 (4.8559)	Prec@1 18.750 (6.732)	Prec@5 37.500 (19.613)
Epoch: [0][6190/14090]	Time 0.732 (0.772)	Data 0.001 (0.001)	Loss 3.7797 (4.8544)	Prec@1 20.312 (6.747)	Prec@5 42.969 (19.645)
Epoch: [0][6200/14090]	Time 0.734 (0.772)	Data 0.001 (0.001)	Loss 3.9420 (4.8529)	Prec@1 18.750 (6.762)	Prec@5 40.625 (19.678)
Epoch: [0][6210/14090]	Time 0.763 (0.772)	Data 0.001 (0.001)	Loss 3.8090 (4.8515)	Prec@1 19.531 (6.777)	Prec@5 41.406 (19.709)
Epoch: [0][6220/14090]	Time 0.752 (0.772)	Data 0.001 (0.001)	Loss 3.9923 (4.8500)	Prec@1 13.281 (6.789)	Prec@5 35.156 (19.738)
Epoch: [0][6230/14090]	Time 0.858 (0.772)	Data 0.001 (0.001)	Loss 3.7595 (4.8485)	Prec@1 10.938 (6.801)	Prec@5 37.500 (19.770)
Epoch: [0][6240/14090]	Time 0.766 (0.772)	Data 0.001 (0.001)	Loss 4.0535 (4.8470)	Prec@1 10.156 (6.813)	Prec@5 35.938 (19.799)
Epoch: [0][6250/14090]	Time 0.744 (0.772)	Data 0.001 (0.001)	Loss 3.9980 (4.8456)	Prec@1 14.062 (6.828)	Prec@5 34.375 (19.828)
Epoch: [0][6260/14090]	Time 0.784 (0.772)	Data 0.001 (0.001)	Loss 4.0213 (4.8441)	Prec@1 14.062 (6.843)	Prec@5 34.375 (19.859)
Epoch: [0][6270/14090]	Time 0.755 (0.772)	Data 0.001 (0.001)	Loss 3.6902 (4.8426)	Prec@1 15.625 (6.858)	Prec@5 36.719 (19.888)
Epoch: [0][6280/14090]	Time 0.736 (0.772)	Data 0.001 (0.001)	Loss 3.8309 (4.8412)	Prec@1 17.969 (6.873)	Prec@5 42.969 (19.917)
Epoch: [0][6290/14090]	Time 0.769 (0.772)	Data 0.001 (0.001)	Loss 3.9993 (4.8398)	Prec@1 12.500 (6.885)	Prec@5 40.625 (19.946)
Epoch: [0][6300/14090]	Time 0.883 (0.772)	Data 0.001 (0.001)	Loss 4.0656 (4.8384)	Prec@1 17.969 (6.899)	Prec@5 37.500 (19.975)
Epoch: [0][6310/14090]	Time 0.763 (0.772)	Data 0.001 (0.001)	Loss 4.2300 (4.8370)	Prec@1 10.156 (6.912)	Prec@5 35.938 (20.002)
Epoch: [0][6320/14090]	Time 0.754 (0.772)	Data 0.001 (0.001)	Loss 3.8733 (4.8356)	Prec@1 18.750 (6.929)	Prec@5 41.406 (20.033)
Epoch: [0][6330/14090]	Time 0.737 (0.772)	Data 0.001 (0.001)	Loss 3.9358 (4.8343)	Prec@1 18.750 (6.941)	Prec@5 40.625 (20.061)
Epoch: [0][6340/14090]	Time 0.754 (0.772)	Data 0.001 (0.001)	Loss 4.1150 (4.8330)	Prec@1 13.281 (6.953)	Prec@5 33.594 (20.088)
Epoch: [0][6350/14090]	Time 0.751 (0.772)	Data 0.001 (0.001)	Loss 3.9170 (4.8317)	Prec@1 14.844 (6.964)	Prec@5 35.156 (20.114)
Epoch: [0][6360/14090]	Time 0.752 (0.772)	Data 0.001 (0.001)	Loss 3.8256 (4.8304)	Prec@1 13.281 (6.977)	Prec@5 39.062 (20.142)
Epoch: [0][6370/14090]	Time 0.907 (0.772)	Data 0.001 (0.001)	Loss 3.7895 (4.8290)	Prec@1 22.656 (6.992)	Prec@5 41.406 (20.170)
Epoch: [0][6380/14090]	Time 0.752 (0.772)	Data 0.001 (0.001)	Loss 3.7835 (4.8276)	Prec@1 17.969 (7.005)	Prec@5 46.875 (20.198)
Epoch: [0][6390/14090]	Time 0.758 (0.772)	Data 0.001 (0.001)	Loss 4.1668 (4.8263)	Prec@1 7.812 (7.015)	Prec@5 37.500 (20.227)
Epoch: [0][6400/14090]	Time 0.754 (0.772)	Data 0.001 (0.001)	Loss 3.7689 (4.8248)	Prec@1 16.406 (7.029)	Prec@5 41.406 (20.259)
Epoch: [0][6410/14090]	Time 0.747 (0.772)	Data 0.001 (0.001)	Loss 3.9545 (4.8234)	Prec@1 14.844 (7.041)	Prec@5 40.625 (20.288)
Epoch: [0][6420/14090]	Time 0.755 (0.772)	Data 0.001 (0.001)	Loss 3.7800 (4.8221)	Prec@1 18.750 (7.054)	Prec@5 39.844 (20.317)
Epoch: [0][6430/14090]	Time 0.753 (0.772)	Data 0.001 (0.001)	Loss 4.0914 (4.8208)	Prec@1 14.844 (7.065)	Prec@5 39.844 (20.344)
Epoch: [0][6440/14090]	Time 0.914 (0.772)	Data 0.001 (0.001)	Loss 4.0773 (4.8194)	Prec@1 12.500 (7.077)	Prec@5 32.812 (20.373)
Epoch: [0][6450/14090]	Time 0.754 (0.772)	Data 0.001 (0.001)	Loss 4.0934 (4.8180)	Prec@1 14.844 (7.090)	Prec@5 35.938 (20.401)
Epoch: [0][6460/14090]	Time 0.758 (0.772)	Data 0.001 (0.001)	Loss 3.8843 (4.8167)	Prec@1 13.281 (7.103)	Prec@5 41.406 (20.432)
Epoch: [0][6470/14090]	Time 0.768 (0.772)	Data 0.001 (0.001)	Loss 3.6708 (4.8154)	Prec@1 21.094 (7.117)	Prec@5 44.531 (20.462)
Epoch: [0][6480/14090]	Time 0.735 (0.772)	Data 0.001 (0.001)	Loss 3.7832 (4.8139)	Prec@1 22.656 (7.131)	Prec@5 42.188 (20.492)
Epoch: [0][6490/14090]	Time 0.749 (0.772)	Data 0.001 (0.001)	Loss 3.7322 (4.8124)	Prec@1 15.625 (7.145)	Prec@5 46.875 (20.524)
Epoch: [0][6500/14090]	Time 0.724 (0.772)	Data 0.001 (0.001)	Loss 3.7640 (4.8111)	Prec@1 16.406 (7.159)	Prec@5 42.188 (20.554)
Epoch: [0][6510/14090]	Time 0.882 (0.772)	Data 0.001 (0.001)	Loss 4.0443 (4.8098)	Prec@1 12.500 (7.172)	Prec@5 34.375 (20.580)
Epoch: [0][6520/14090]	Time 0.758 (0.772)	Data 0.001 (0.001)	Loss 3.7603 (4.8085)	Prec@1 20.312 (7.187)	Prec@5 44.531 (20.610)
Epoch: [0][6530/14090]	Time 0.748 (0.772)	Data 0.001 (0.001)	Loss 3.9433 (4.8071)	Prec@1 17.969 (7.201)	Prec@5 41.406 (20.639)
Epoch: [0][6540/14090]	Time 0.761 (0.772)	Data 0.001 (0.001)	Loss 3.9192 (4.8058)	Prec@1 17.969 (7.214)	Prec@5 39.062 (20.666)
Epoch: [0][6550/14090]	Time 0.732 (0.772)	Data 0.001 (0.001)	Loss 3.8175 (4.8044)	Prec@1 14.844 (7.227)	Prec@5 41.406 (20.694)
Epoch: [0][6560/14090]	Time 0.761 (0.772)	Data 0.002 (0.001)	Loss 3.8673 (4.8031)	Prec@1 17.969 (7.240)	Prec@5 42.188 (20.723)
Epoch: [0][6570/14090]	Time 0.761 (0.772)	Data 0.001 (0.001)	Loss 3.9554 (4.8018)	Prec@1 13.281 (7.252)	Prec@5 40.625 (20.751)
Epoch: [0][6580/14090]	Time 0.987 (0.772)	Data 0.001 (0.001)	Loss 4.0750 (4.8003)	Prec@1 15.625 (7.266)	Prec@5 32.812 (20.780)
Epoch: [0][6590/14090]	Time 0.762 (0.772)	Data 0.001 (0.001)	Loss 4.1951 (4.7991)	Prec@1 13.281 (7.276)	Prec@5 28.906 (20.807)
Epoch: [0][6600/14090]	Time 0.764 (0.772)	Data 0.001 (0.001)	Loss 3.7132 (4.7977)	Prec@1 14.844 (7.292)	Prec@5 46.875 (20.839)
Epoch: [0][6610/14090]	Time 0.761 (0.772)	Data 0.001 (0.001)	Loss 3.8560 (4.7963)	Prec@1 17.969 (7.305)	Prec@5 42.188 (20.867)
Epoch: [0][6620/14090]	Time 0.760 (0.772)	Data 0.001 (0.001)	Loss 3.8178 (4.7950)	Prec@1 18.750 (7.318)	Prec@5 41.406 (20.893)
Epoch: [0][6630/14090]	Time 0.747 (0.772)	Data 0.001 (0.001)	Loss 3.5681 (4.7936)	Prec@1 21.875 (7.332)	Prec@5 48.438 (20.923)
Epoch: [0][6640/14090]	Time 0.760 (0.772)	Data 0.001 (0.001)	Loss 3.9858 (4.7924)	Prec@1 14.844 (7.343)	Prec@5 39.062 (20.951)
Epoch: [0][6650/14090]	Time 0.886 (0.772)	Data 0.001 (0.001)	Loss 3.8634 (4.7910)	Prec@1 11.719 (7.355)	Prec@5 42.188 (20.981)
Epoch: [0][6660/14090]	Time 0.734 (0.772)	Data 0.001 (0.001)	Loss 3.7776 (4.7897)	Prec@1 17.188 (7.370)	Prec@5 46.875 (21.012)
Epoch: [0][6670/14090]	Time 0.753 (0.772)	Data 0.001 (0.001)	Loss 3.6477 (4.7883)	Prec@1 14.844 (7.384)	Prec@5 47.656 (21.042)
Epoch: [0][6680/14090]	Time 0.751 (0.772)	Data 0.002 (0.001)	Loss 3.8277 (4.7871)	Prec@1 16.406 (7.394)	Prec@5 40.625 (21.069)
Epoch: [0][6690/14090]	Time 0.738 (0.772)	Data 0.001 (0.001)	Loss 4.0092 (4.7858)	Prec@1 14.844 (7.406)	Prec@5 35.156 (21.096)
Epoch: [0][6700/14090]	Time 0.772 (0.772)	Data 0.001 (0.001)	Loss 3.8541 (4.7844)	Prec@1 14.062 (7.419)	Prec@5 38.281 (21.124)
Epoch: [0][6710/14090]	Time 0.770 (0.772)	Data 0.001 (0.001)	Loss 3.6421 (4.7832)	Prec@1 23.438 (7.431)	Prec@5 42.188 (21.150)
Epoch: [0][6720/14090]	Time 0.864 (0.772)	Data 0.001 (0.001)	Loss 3.8372 (4.7819)	Prec@1 20.312 (7.446)	Prec@5 39.062 (21.175)
Epoch: [0][6730/14090]	Time 0.733 (0.772)	Data 0.001 (0.001)	Loss 3.8769 (4.7806)	Prec@1 17.969 (7.460)	Prec@5 42.969 (21.205)
Epoch: [0][6740/14090]	Time 0.761 (0.772)	Data 0.001 (0.001)	Loss 3.9804 (4.7792)	Prec@1 17.969 (7.474)	Prec@5 35.156 (21.233)
Epoch: [0][6750/14090]	Time 0.754 (0.772)	Data 0.001 (0.001)	Loss 3.9427 (4.7779)	Prec@1 14.062 (7.485)	Prec@5 42.188 (21.260)
Epoch: [0][6760/14090]	Time 0.764 (0.772)	Data 0.001 (0.001)	Loss 3.7818 (4.7766)	Prec@1 21.875 (7.501)	Prec@5 43.750 (21.289)
Epoch: [0][6770/14090]	Time 0.771 (0.772)	Data 0.001 (0.001)	Loss 3.7598 (4.7752)	Prec@1 16.406 (7.514)	Prec@5 43.750 (21.318)
Epoch: [0][6780/14090]	Time 0.763 (0.772)	Data 0.001 (0.001)	Loss 3.9491 (4.7739)	Prec@1 14.844 (7.529)	Prec@5 41.406 (21.347)
Epoch: [0][6790/14090]	Time 0.873 (0.772)	Data 0.001 (0.001)	Loss 3.6163 (4.7726)	Prec@1 21.094 (7.541)	Prec@5 48.438 (21.377)
Epoch: [0][6800/14090]	Time 0.756 (0.772)	Data 0.001 (0.001)	Loss 3.8588 (4.7713)	Prec@1 17.188 (7.554)	Prec@5 46.875 (21.405)
Epoch: [0][6810/14090]	Time 0.744 (0.772)	Data 0.001 (0.001)	Loss 4.1255 (4.7701)	Prec@1 11.719 (7.566)	Prec@5 34.375 (21.430)
Epoch: [0][6820/14090]	Time 0.731 (0.772)	Data 0.001 (0.001)	Loss 4.1243 (4.7687)	Prec@1 19.531 (7.583)	Prec@5 37.500 (21.460)
Epoch: [0][6830/14090]	Time 0.768 (0.772)	Data 0.001 (0.001)	Loss 3.4552 (4.7673)	Prec@1 19.531 (7.597)	Prec@5 50.000 (21.491)
Epoch: [0][6840/14090]	Time 0.749 (0.772)	Data 0.001 (0.001)	Loss 4.0825 (4.7660)	Prec@1 9.375 (7.609)	Prec@5 36.719 (21.518)
Epoch: [0][6850/14090]	Time 0.778 (0.772)	Data 0.001 (0.001)	Loss 3.7948 (4.7647)	Prec@1 22.656 (7.622)	Prec@5 43.750 (21.546)
Epoch: [0][6860/14090]	Time 0.828 (0.772)	Data 0.001 (0.001)	Loss 3.9173 (4.7634)	Prec@1 12.500 (7.635)	Prec@5 37.500 (21.573)
Epoch: [0][6870/14090]	Time 0.766 (0.772)	Data 0.001 (0.001)	Loss 3.9735 (4.7621)	Prec@1 21.094 (7.650)	Prec@5 37.500 (21.603)
Epoch: [0][6880/14090]	Time 0.748 (0.772)	Data 0.001 (0.001)	Loss 4.0415 (4.7608)	Prec@1 14.844 (7.663)	Prec@5 31.250 (21.627)
Epoch: [0][6890/14090]	Time 0.780 (0.772)	Data 0.001 (0.001)	Loss 4.0506 (4.7595)	Prec@1 18.750 (7.676)	Prec@5 42.969 (21.657)
Epoch: [0][6900/14090]	Time 0.778 (0.772)	Data 0.001 (0.001)	Loss 3.9493 (4.7583)	Prec@1 14.844 (7.689)	Prec@5 46.094 (21.684)
Epoch: [0][6910/14090]	Time 0.729 (0.772)	Data 0.001 (0.001)	Loss 4.0674 (4.7570)	Prec@1 11.719 (7.702)	Prec@5 35.156 (21.711)
Epoch: [0][6920/14090]	Time 0.742 (0.772)	Data 0.001 (0.001)	Loss 4.1065 (4.7557)	Prec@1 10.938 (7.716)	Prec@5 35.156 (21.738)
Epoch: [0][6930/14090]	Time 0.852 (0.772)	Data 0.001 (0.001)	Loss 3.8948 (4.7545)	Prec@1 14.062 (7.728)	Prec@5 35.938 (21.763)
Epoch: [0][6940/14090]	Time 0.754 (0.772)	Data 0.001 (0.001)	Loss 3.9431 (4.7532)	Prec@1 14.062 (7.740)	Prec@5 41.406 (21.788)
Epoch: [0][6950/14090]	Time 0.741 (0.772)	Data 0.001 (0.001)	Loss 3.9908 (4.7520)	Prec@1 12.500 (7.753)	Prec@5 30.469 (21.814)
Epoch: [0][6960/14090]	Time 0.734 (0.772)	Data 0.001 (0.001)	Loss 4.0176 (4.7508)	Prec@1 15.625 (7.767)	Prec@5 39.844 (21.841)
Epoch: [0][6970/14090]	Time 0.750 (0.772)	Data 0.001 (0.001)	Loss 3.7371 (4.7495)	Prec@1 17.188 (7.778)	Prec@5 39.844 (21.864)
Epoch: [0][6980/14090]	Time 0.745 (0.772)	Data 0.001 (0.001)	Loss 3.9058 (4.7481)	Prec@1 16.406 (7.795)	Prec@5 39.844 (21.894)
Epoch: [0][6990/14090]	Time 0.737 (0.772)	Data 0.001 (0.001)	Loss 3.8035 (4.7470)	Prec@1 17.188 (7.806)	Prec@5 37.500 (21.918)
Epoch: [0][7000/14090]	Time 0.871 (0.772)	Data 0.001 (0.001)	Loss 3.5742 (4.7458)	Prec@1 24.219 (7.820)	Prec@5 44.531 (21.944)
Epoch: [0][7010/14090]	Time 0.744 (0.772)	Data 0.001 (0.001)	Loss 3.6255 (4.7445)	Prec@1 24.219 (7.833)	Prec@5 49.219 (21.971)
Epoch: [0][7020/14090]	Time 0.763 (0.772)	Data 0.001 (0.001)	Loss 3.9283 (4.7433)	Prec@1 15.625 (7.847)	Prec@5 47.656 (22.000)
Epoch: [0][7030/14090]	Time 0.745 (0.772)	Data 0.001 (0.001)	Loss 3.6212 (4.7419)	Prec@1 15.625 (7.860)	Prec@5 46.094 (22.029)
Epoch: [0][7040/14090]	Time 0.770 (0.772)	Data 0.001 (0.001)	Loss 3.7278 (4.7407)	Prec@1 21.875 (7.874)	Prec@5 42.969 (22.055)
Epoch: [0][7050/14090]	Time 0.742 (0.772)	Data 0.001 (0.001)	Loss 4.0115 (4.7393)	Prec@1 12.500 (7.888)	Prec@5 37.500 (22.084)
Epoch: [0][7060/14090]	Time 0.755 (0.772)	Data 0.001 (0.001)	Loss 3.5629 (4.7380)	Prec@1 24.219 (7.901)	Prec@5 46.875 (22.109)
Epoch: [0][7070/14090]	Time 0.862 (0.772)	Data 0.001 (0.001)	Loss 3.6920 (4.7367)	Prec@1 19.531 (7.917)	Prec@5 44.531 (22.138)
Epoch: [0][7080/14090]	Time 0.750 (0.772)	Data 0.001 (0.001)	Loss 3.8263 (4.7353)	Prec@1 12.500 (7.931)	Prec@5 43.750 (22.169)
Epoch: [0][7090/14090]	Time 0.742 (0.772)	Data 0.001 (0.001)	Loss 3.8796 (4.7341)	Prec@1 11.719 (7.944)	Prec@5 39.062 (22.196)
Epoch: [0][7100/14090]	Time 0.774 (0.772)	Data 0.001 (0.001)	Loss 3.8233 (4.7328)	Prec@1 20.312 (7.957)	Prec@5 42.188 (22.222)
Epoch: [0][7110/14090]	Time 0.740 (0.772)	Data 0.001 (0.001)	Loss 3.8940 (4.7315)	Prec@1 17.969 (7.969)	Prec@5 39.844 (22.249)
Epoch: [0][7120/14090]	Time 0.755 (0.772)	Data 0.001 (0.001)	Loss 3.7065 (4.7302)	Prec@1 17.188 (7.984)	Prec@5 47.656 (22.280)
Epoch: [0][7130/14090]	Time 0.741 (0.772)	Data 0.001 (0.001)	Loss 3.7569 (4.7289)	Prec@1 16.406 (7.997)	Prec@5 41.406 (22.305)
Epoch: [0][7140/14090]	Time 0.995 (0.772)	Data 0.001 (0.001)	Loss 4.0508 (4.7276)	Prec@1 10.156 (8.009)	Prec@5 34.375 (22.333)
Epoch: [0][7150/14090]	Time 0.753 (0.772)	Data 0.001 (0.001)	Loss 3.7112 (4.7264)	Prec@1 17.188 (8.020)	Prec@5 44.531 (22.356)
Epoch: [0][7160/14090]	Time 0.766 (0.772)	Data 0.001 (0.001)	Loss 3.6349 (4.7250)	Prec@1 18.750 (8.033)	Prec@5 44.531 (22.384)
Epoch: [0][7170/14090]	Time 0.755 (0.772)	Data 0.001 (0.001)	Loss 3.9058 (4.7237)	Prec@1 17.969 (8.044)	Prec@5 36.719 (22.410)
Epoch: [0][7180/14090]	Time 0.765 (0.772)	Data 0.001 (0.001)	Loss 3.7886 (4.7224)	Prec@1 18.750 (8.057)	Prec@5 45.312 (22.436)
Epoch: [0][7190/14090]	Time 0.755 (0.772)	Data 0.001 (0.001)	Loss 3.7570 (4.7211)	Prec@1 18.750 (8.072)	Prec@5 38.281 (22.466)
Epoch: [0][7200/14090]	Time 0.742 (0.772)	Data 0.001 (0.001)	Loss 3.8138 (4.7199)	Prec@1 17.969 (8.087)	Prec@5 38.281 (22.490)
Epoch: [0][7210/14090]	Time 0.873 (0.772)	Data 0.001 (0.001)	Loss 3.8374 (4.7188)	Prec@1 17.188 (8.098)	Prec@5 42.188 (22.515)
Epoch: [0][7220/14090]	Time 0.744 (0.772)	Data 0.001 (0.001)	Loss 4.0254 (4.7175)	Prec@1 13.281 (8.112)	Prec@5 33.594 (22.542)
Epoch: [0][7230/14090]	Time 0.733 (0.772)	Data 0.001 (0.001)	Loss 3.8606 (4.7163)	Prec@1 20.312 (8.124)	Prec@5 37.500 (22.569)
Epoch: [0][7240/14090]	Time 0.764 (0.772)	Data 0.001 (0.001)	Loss 3.9029 (4.7151)	Prec@1 15.625 (8.135)	Prec@5 43.750 (22.593)
Epoch: [0][7250/14090]	Time 0.769 (0.772)	Data 0.001 (0.001)	Loss 3.9240 (4.7138)	Prec@1 17.969 (8.148)	Prec@5 38.281 (22.621)
Epoch: [0][7260/14090]	Time 0.760 (0.772)	Data 0.001 (0.001)	Loss 3.8021 (4.7126)	Prec@1 17.188 (8.161)	Prec@5 40.625 (22.646)
Epoch: [0][7270/14090]	Time 0.747 (0.772)	Data 0.001 (0.001)	Loss 3.8358 (4.7114)	Prec@1 17.969 (8.173)	Prec@5 38.281 (22.671)
Epoch: [0][7280/14090]	Time 0.881 (0.772)	Data 0.001 (0.001)	Loss 3.8645 (4.7103)	Prec@1 19.531 (8.185)	Prec@5 41.406 (22.694)
Epoch: [0][7290/14090]	Time 0.751 (0.772)	Data 0.001 (0.001)	Loss 3.8528 (4.7092)	Prec@1 16.406 (8.197)	Prec@5 33.594 (22.717)
Epoch: [0][7300/14090]	Time 0.742 (0.772)	Data 0.001 (0.001)	Loss 4.0378 (4.7080)	Prec@1 14.062 (8.209)	Prec@5 35.156 (22.742)
Epoch: [0][7310/14090]	Time 0.744 (0.772)	Data 0.001 (0.001)	Loss 3.6738 (4.7068)	Prec@1 17.969 (8.222)	Prec@5 43.750 (22.769)
Epoch: [0][7320/14090]	Time 0.756 (0.772)	Data 0.001 (0.001)	Loss 3.7020 (4.7055)	Prec@1 16.406 (8.236)	Prec@5 42.188 (22.796)
Epoch: [0][7330/14090]	Time 0.770 (0.772)	Data 0.001 (0.001)	Loss 3.8226 (4.7043)	Prec@1 19.531 (8.248)	Prec@5 42.969 (22.821)
Epoch: [0][7340/14090]	Time 0.773 (0.772)	Data 0.001 (0.001)	Loss 4.1322 (4.7032)	Prec@1 11.719 (8.259)	Prec@5 39.844 (22.845)
Epoch: [0][7350/14090]	Time 0.868 (0.772)	Data 0.001 (0.001)	Loss 4.0896 (4.7019)	Prec@1 11.719 (8.269)	Prec@5 35.156 (22.869)
Epoch: [0][7360/14090]	Time 0.749 (0.772)	Data 0.001 (0.001)	Loss 3.7999 (4.7007)	Prec@1 18.750 (8.283)	Prec@5 44.531 (22.894)
Epoch: [0][7370/14090]	Time 0.744 (0.772)	Data 0.001 (0.001)	Loss 3.6981 (4.6995)	Prec@1 17.969 (8.296)	Prec@5 47.656 (22.922)
Epoch: [0][7380/14090]	Time 0.746 (0.772)	Data 0.001 (0.001)	Loss 3.8193 (4.6983)	Prec@1 17.969 (8.310)	Prec@5 38.281 (22.946)
Epoch: [0][7390/14090]	Time 0.780 (0.772)	Data 0.001 (0.001)	Loss 3.6883 (4.6969)	Prec@1 17.969 (8.323)	Prec@5 43.750 (22.975)
Epoch: [0][7400/14090]	Time 0.736 (0.772)	Data 0.001 (0.001)	Loss 3.6234 (4.6957)	Prec@1 15.625 (8.334)	Prec@5 43.750 (23.001)
Epoch: [0][7410/14090]	Time 0.745 (0.772)	Data 0.001 (0.001)	Loss 4.1049 (4.6946)	Prec@1 17.188 (8.348)	Prec@5 38.281 (23.026)
Epoch: [0][7420/14090]	Time 0.855 (0.772)	Data 0.001 (0.001)	Loss 3.7342 (4.6934)	Prec@1 19.531 (8.360)	Prec@5 42.969 (23.051)
Epoch: [0][7430/14090]	Time 0.731 (0.772)	Data 0.001 (0.001)	Loss 3.9328 (4.6921)	Prec@1 13.281 (8.372)	Prec@5 39.062 (23.076)
Epoch: [0][7440/14090]	Time 0.727 (0.772)	Data 0.001 (0.001)	Loss 3.6035 (4.6910)	Prec@1 23.438 (8.384)	Prec@5 51.562 (23.102)
Epoch: [0][7450/14090]	Time 0.735 (0.772)	Data 0.001 (0.001)	Loss 3.9359 (4.6898)	Prec@1 14.062 (8.394)	Prec@5 37.500 (23.122)
Epoch: [0][7460/14090]	Time 0.757 (0.772)	Data 0.001 (0.001)	Loss 3.4886 (4.6886)	Prec@1 24.219 (8.407)	Prec@5 50.781 (23.149)
Epoch: [0][7470/14090]	Time 0.763 (0.772)	Data 0.001 (0.001)	Loss 3.5559 (4.6873)	Prec@1 17.969 (8.421)	Prec@5 46.875 (23.175)
Epoch: [0][7480/14090]	Time 0.750 (0.772)	Data 0.001 (0.001)	Loss 3.6842 (4.6860)	Prec@1 17.969 (8.435)	Prec@5 41.406 (23.202)
Epoch: [0][7490/14090]	Time 0.866 (0.772)	Data 0.001 (0.001)	Loss 4.0209 (4.6849)	Prec@1 14.844 (8.448)	Prec@5 41.406 (23.227)
Epoch: [0][7500/14090]	Time 0.765 (0.772)	Data 0.001 (0.001)	Loss 3.7786 (4.6837)	Prec@1 17.188 (8.461)	Prec@5 40.625 (23.252)
Epoch: [0][7510/14090]	Time 0.785 (0.772)	Data 0.001 (0.001)	Loss 3.9340 (4.6826)	Prec@1 17.188 (8.471)	Prec@5 34.375 (23.274)
Epoch: [0][7520/14090]	Time 0.753 (0.772)	Data 0.001 (0.001)	Loss 3.5694 (4.6813)	Prec@1 23.438 (8.485)	Prec@5 46.875 (23.301)
Epoch: [0][7530/14090]	Time 0.747 (0.772)	Data 0.001 (0.001)	Loss 3.7298 (4.6800)	Prec@1 16.406 (8.498)	Prec@5 39.844 (23.327)
Epoch: [0][7540/14090]	Time 0.768 (0.772)	Data 0.001 (0.001)	Loss 3.6678 (4.6787)	Prec@1 20.312 (8.512)	Prec@5 45.312 (23.356)
Epoch: [0][7550/14090]	Time 0.743 (0.772)	Data 0.001 (0.001)	Loss 3.7264 (4.6774)	Prec@1 19.531 (8.524)	Prec@5 40.625 (23.380)
Epoch: [0][7560/14090]	Time 0.876 (0.772)	Data 0.001 (0.001)	Loss 4.0871 (4.6764)	Prec@1 10.938 (8.533)	Prec@5 32.812 (23.403)
Epoch: [0][7570/14090]	Time 0.757 (0.772)	Data 0.001 (0.001)	Loss 3.6893 (4.6752)	Prec@1 15.625 (8.545)	Prec@5 42.969 (23.428)
Epoch: [0][7580/14090]	Time 0.769 (0.772)	Data 0.001 (0.001)	Loss 3.5818 (4.6740)	Prec@1 21.875 (8.559)	Prec@5 44.531 (23.455)
Epoch: [0][7590/14090]	Time 0.761 (0.772)	Data 0.001 (0.001)	Loss 3.8451 (4.6729)	Prec@1 20.312 (8.570)	Prec@5 39.844 (23.476)
Epoch: [0][7600/14090]	Time 0.758 (0.772)	Data 0.001 (0.001)	Loss 3.7376 (4.6718)	Prec@1 17.188 (8.580)	Prec@5 44.531 (23.501)
Epoch: [0][7610/14090]	Time 0.751 (0.772)	Data 0.001 (0.001)	Loss 3.9908 (4.6706)	Prec@1 13.281 (8.592)	Prec@5 36.719 (23.524)
Epoch: [0][7620/14090]	Time 0.754 (0.772)	Data 0.001 (0.001)	Loss 3.6581 (4.6694)	Prec@1 19.531 (8.603)	Prec@5 41.406 (23.550)
Epoch: [0][7630/14090]	Time 0.859 (0.772)	Data 0.001 (0.001)	Loss 3.7746 (4.6684)	Prec@1 12.500 (8.613)	Prec@5 43.750 (23.573)
Epoch: [0][7640/14090]	Time 0.756 (0.772)	Data 0.001 (0.001)	Loss 3.9753 (4.6672)	Prec@1 10.156 (8.624)	Prec@5 32.812 (23.593)
Epoch: [0][7650/14090]	Time 0.738 (0.772)	Data 0.001 (0.001)	Loss 3.9225 (4.6661)	Prec@1 11.719 (8.635)	Prec@5 35.156 (23.617)
Epoch: [0][7660/14090]	Time 0.790 (0.772)	Data 0.001 (0.001)	Loss 3.8217 (4.6649)	Prec@1 17.188 (8.649)	Prec@5 43.750 (23.644)
Epoch: [0][7670/14090]	Time 0.757 (0.772)	Data 0.001 (0.001)	Loss 3.7120 (4.6637)	Prec@1 19.531 (8.661)	Prec@5 45.312 (23.668)
Epoch: [0][7680/14090]	Time 0.758 (0.772)	Data 0.001 (0.001)	Loss 3.6470 (4.6625)	Prec@1 24.219 (8.674)	Prec@5 50.781 (23.694)
Epoch: [0][7690/14090]	Time 0.757 (0.772)	Data 0.001 (0.001)	Loss 3.6540 (4.6613)	Prec@1 18.750 (8.687)	Prec@5 46.094 (23.722)
Epoch: [0][7700/14090]	Time 0.881 (0.772)	Data 0.001 (0.001)	Loss 3.8890 (4.6601)	Prec@1 13.281 (8.700)	Prec@5 42.188 (23.749)
Epoch: [0][7710/14090]	Time 0.749 (0.772)	Data 0.001 (0.001)	Loss 3.9880 (4.6591)	Prec@1 15.625 (8.712)	Prec@5 40.625 (23.772)
Epoch: [0][7720/14090]	Time 0.759 (0.772)	Data 0.001 (0.001)	Loss 3.8285 (4.6580)	Prec@1 15.625 (8.722)	Prec@5 42.188 (23.795)
Epoch: [0][7730/14090]	Time 0.761 (0.772)	Data 0.001 (0.001)	Loss 3.7102 (4.6568)	Prec@1 21.875 (8.734)	Prec@5 45.312 (23.822)
Epoch: [0][7740/14090]	Time 0.745 (0.772)	Data 0.001 (0.001)	Loss 3.7512 (4.6558)	Prec@1 24.219 (8.747)	Prec@5 42.969 (23.847)
Epoch: [0][7750/14090]	Time 0.734 (0.772)	Data 0.001 (0.001)	Loss 3.7359 (4.6547)	Prec@1 21.875 (8.760)	Prec@5 39.844 (23.869)
Epoch: [0][7760/14090]	Time 0.758 (0.772)	Data 0.001 (0.001)	Loss 3.5684 (4.6535)	Prec@1 20.312 (8.773)	Prec@5 46.875 (23.895)
Epoch: [0][7770/14090]	Time 0.869 (0.772)	Data 0.001 (0.001)	Loss 3.7211 (4.6524)	Prec@1 18.750 (8.784)	Prec@5 43.750 (23.919)
Epoch: [0][7780/14090]	Time 0.740 (0.772)	Data 0.001 (0.001)	Loss 3.8737 (4.6513)	Prec@1 21.094 (8.796)	Prec@5 42.969 (23.942)
Epoch: [0][7790/14090]	Time 0.752 (0.772)	Data 0.001 (0.001)	Loss 3.5898 (4.6501)	Prec@1 14.844 (8.807)	Prec@5 47.656 (23.966)
Epoch: [0][7800/14090]	Time 0.758 (0.772)	Data 0.001 (0.001)	Loss 3.7360 (4.6490)	Prec@1 15.625 (8.817)	Prec@5 42.969 (23.987)
Epoch: [0][7810/14090]	Time 0.754 (0.772)	Data 0.001 (0.001)	Loss 4.0665 (4.6479)	Prec@1 14.062 (8.832)	Prec@5 35.156 (24.011)
Epoch: [0][7820/14090]	Time 0.726 (0.772)	Data 0.001 (0.001)	Loss 3.8575 (4.6467)	Prec@1 14.844 (8.843)	Prec@5 41.406 (24.036)
Epoch: [0][7830/14090]	Time 0.753 (0.772)	Data 0.001 (0.001)	Loss 3.5741 (4.6455)	Prec@1 14.844 (8.857)	Prec@5 47.656 (24.060)
Epoch: [0][7840/14090]	Time 0.866 (0.772)	Data 0.001 (0.001)	Loss 3.8523 (4.6444)	Prec@1 17.188 (8.868)	Prec@5 42.188 (24.084)
Epoch: [0][7850/14090]	Time 0.749 (0.772)	Data 0.001 (0.001)	Loss 3.7946 (4.6432)	Prec@1 14.062 (8.883)	Prec@5 41.406 (24.109)
Epoch: [0][7860/14090]	Time 0.777 (0.772)	Data 0.001 (0.001)	Loss 3.8411 (4.6421)	Prec@1 22.656 (8.896)	Prec@5 44.531 (24.134)
Epoch: [0][7870/14090]	Time 0.739 (0.772)	Data 0.001 (0.001)	Loss 3.7836 (4.6409)	Prec@1 16.406 (8.909)	Prec@5 39.062 (24.160)
Epoch: [0][7880/14090]	Time 0.728 (0.772)	Data 0.001 (0.001)	Loss 3.5501 (4.6398)	Prec@1 14.844 (8.917)	Prec@5 49.219 (24.181)
Epoch: [0][7890/14090]	Time 0.783 (0.772)	Data 0.001 (0.001)	Loss 3.4848 (4.6386)	Prec@1 17.188 (8.929)	Prec@5 50.781 (24.210)
Epoch: [0][7900/14090]	Time 0.735 (0.772)	Data 0.001 (0.001)	Loss 3.6265 (4.6375)	Prec@1 17.969 (8.940)	Prec@5 50.000 (24.234)
Epoch: [0][7910/14090]	Time 0.861 (0.772)	Data 0.001 (0.001)	Loss 3.8288 (4.6363)	Prec@1 15.625 (8.953)	Prec@5 46.875 (24.261)
Epoch: [0][7920/14090]	Time 0.735 (0.772)	Data 0.001 (0.001)	Loss 3.8049 (4.6352)	Prec@1 14.844 (8.965)	Prec@5 46.875 (24.284)
Epoch: [0][7930/14090]	Time 0.766 (0.772)	Data 0.001 (0.001)	Loss 3.5018 (4.6341)	Prec@1 20.312 (8.979)	Prec@5 51.562 (24.310)
Epoch: [0][7940/14090]	Time 0.747 (0.772)	Data 0.001 (0.001)	Loss 3.6291 (4.6329)	Prec@1 26.562 (8.991)	Prec@5 50.000 (24.336)
Epoch: [0][7950/14090]	Time 0.734 (0.772)	Data 0.001 (0.001)	Loss 3.8107 (4.6317)	Prec@1 24.219 (9.004)	Prec@5 39.062 (24.361)
Epoch: [0][7960/14090]	Time 0.750 (0.772)	Data 0.001 (0.001)	Loss 3.6217 (4.6305)	Prec@1 19.531 (9.017)	Prec@5 46.875 (24.386)
Epoch: [0][7970/14090]	Time 0.727 (0.772)	Data 0.001 (0.001)	Loss 3.7596 (4.6294)	Prec@1 18.750 (9.030)	Prec@5 40.625 (24.408)
Epoch: [0][7980/14090]	Time 0.935 (0.772)	Data 0.001 (0.001)	Loss 3.5616 (4.6283)	Prec@1 24.219 (9.042)	Prec@5 47.656 (24.432)
Epoch: [0][7990/14090]	Time 0.785 (0.772)	Data 0.001 (0.001)	Loss 3.6733 (4.6272)	Prec@1 17.188 (9.053)	Prec@5 42.188 (24.456)
Epoch: [0][8000/14090]	Time 0.774 (0.772)	Data 0.001 (0.001)	Loss 3.8987 (4.6261)	Prec@1 21.094 (9.066)	Prec@5 38.281 (24.479)
Epoch: [0][8010/14090]	Time 0.751 (0.772)	Data 0.001 (0.001)	Loss 3.7951 (4.6249)	Prec@1 23.438 (9.079)	Prec@5 45.312 (24.507)
Epoch: [0][8020/14090]	Time 0.744 (0.772)	Data 0.001 (0.001)	Loss 3.7526 (4.6238)	Prec@1 17.969 (9.089)	Prec@5 43.750 (24.528)
Epoch: [0][8030/14090]	Time 0.759 (0.772)	Data 0.001 (0.001)	Loss 3.7600 (4.6227)	Prec@1 13.281 (9.101)	Prec@5 37.500 (24.551)
Epoch: [0][8040/14090]	Time 0.770 (0.772)	Data 0.001 (0.001)	Loss 3.5648 (4.6216)	Prec@1 17.188 (9.112)	Prec@5 46.094 (24.576)
Epoch: [0][8050/14090]	Time 0.915 (0.772)	Data 0.001 (0.001)	Loss 3.6661 (4.6204)	Prec@1 19.531 (9.125)	Prec@5 44.531 (24.602)
Epoch: [0][8060/14090]	Time 0.753 (0.772)	Data 0.001 (0.001)	Loss 3.8887 (4.6193)	Prec@1 16.406 (9.136)	Prec@5 38.281 (24.624)
Epoch: [0][8070/14090]	Time 0.738 (0.772)	Data 0.001 (0.001)	Loss 3.6826 (4.6182)	Prec@1 23.438 (9.147)	Prec@5 45.312 (24.647)
Epoch: [0][8080/14090]	Time 0.757 (0.772)	Data 0.001 (0.001)	Loss 3.6628 (4.6171)	Prec@1 20.312 (9.157)	Prec@5 44.531 (24.670)
Epoch: [0][8090/14090]	Time 0.765 (0.772)	Data 0.001 (0.001)	Loss 3.7972 (4.6161)	Prec@1 17.969 (9.167)	Prec@5 41.406 (24.692)
Epoch: [0][8100/14090]	Time 0.742 (0.772)	Data 0.001 (0.001)	Loss 3.5098 (4.6150)	Prec@1 20.312 (9.178)	Prec@5 49.219 (24.717)
Epoch: [0][8110/14090]	Time 0.739 (0.772)	Data 0.001 (0.001)	Loss 3.5059 (4.6139)	Prec@1 20.312 (9.191)	Prec@5 53.125 (24.741)
Epoch: [0][8120/14090]	Time 0.878 (0.772)	Data 0.001 (0.001)	Loss 3.6073 (4.6127)	Prec@1 18.750 (9.203)	Prec@5 45.312 (24.766)
Epoch: [0][8130/14090]	Time 0.783 (0.772)	Data 0.001 (0.001)	Loss 3.8836 (4.6116)	Prec@1 18.750 (9.215)	Prec@5 35.938 (24.788)
Epoch: [0][8140/14090]	Time 0.763 (0.772)	Data 0.001 (0.001)	Loss 3.8572 (4.6106)	Prec@1 17.969 (9.226)	Prec@5 42.969 (24.812)
Epoch: [0][8150/14090]	Time 0.740 (0.772)	Data 0.001 (0.001)	Loss 3.7883 (4.6095)	Prec@1 14.844 (9.238)	Prec@5 46.875 (24.837)
Epoch: [0][8160/14090]	Time 0.738 (0.772)	Data 0.001 (0.001)	Loss 3.5000 (4.6084)	Prec@1 20.312 (9.250)	Prec@5 46.875 (24.859)
Epoch: [0][8170/14090]	Time 0.757 (0.772)	Data 0.001 (0.001)	Loss 3.6333 (4.6073)	Prec@1 23.438 (9.262)	Prec@5 53.906 (24.882)
Epoch: [0][8180/14090]	Time 0.766 (0.772)	Data 0.001 (0.001)	Loss 3.7222 (4.6063)	Prec@1 15.625 (9.273)	Prec@5 42.969 (24.905)
Epoch: [0][8190/14090]	Time 0.861 (0.772)	Data 0.001 (0.001)	Loss 3.7135 (4.6052)	Prec@1 21.094 (9.283)	Prec@5 43.750 (24.927)
Epoch: [0][8200/14090]	Time 0.751 (0.772)	Data 0.001 (0.001)	Loss 3.5864 (4.6040)	Prec@1 17.969 (9.297)	Prec@5 45.312 (24.951)
Epoch: [0][8210/14090]	Time 0.727 (0.772)	Data 0.001 (0.001)	Loss 3.5330 (4.6028)	Prec@1 21.094 (9.309)	Prec@5 43.750 (24.977)
Epoch: [0][8220/14090]	Time 0.727 (0.772)	Data 0.001 (0.001)	Loss 3.7061 (4.6017)	Prec@1 20.312 (9.322)	Prec@5 44.531 (25.001)
Epoch: [0][8230/14090]	Time 0.745 (0.772)	Data 0.001 (0.001)	Loss 3.6249 (4.6006)	Prec@1 21.875 (9.333)	Prec@5 50.000 (25.025)
Epoch: [0][8240/14090]	Time 0.752 (0.772)	Data 0.001 (0.001)	Loss 3.7615 (4.5996)	Prec@1 14.844 (9.344)	Prec@5 42.188 (25.045)
Epoch: [0][8250/14090]	Time 0.754 (0.772)	Data 0.001 (0.001)	Loss 3.7984 (4.5986)	Prec@1 19.531 (9.355)	Prec@5 42.969 (25.067)
Epoch: [0][8260/14090]	Time 0.891 (0.772)	Data 0.001 (0.001)	Loss 3.7243 (4.5975)	Prec@1 21.094 (9.369)	Prec@5 52.344 (25.092)
Epoch: [0][8270/14090]	Time 0.741 (0.772)	Data 0.001 (0.001)	Loss 3.8237 (4.5964)	Prec@1 17.188 (9.381)	Prec@5 42.188 (25.115)
Epoch: [0][8280/14090]	Time 0.768 (0.772)	Data 0.001 (0.001)	Loss 3.4475 (4.5952)	Prec@1 21.875 (9.393)	Prec@5 50.000 (25.141)
Epoch: [0][8290/14090]	Time 0.753 (0.772)	Data 0.001 (0.001)	Loss 3.8098 (4.5941)	Prec@1 17.188 (9.406)	Prec@5 42.969 (25.165)
Epoch: [0][8300/14090]	Time 0.762 (0.772)	Data 0.001 (0.001)	Loss 3.8093 (4.5931)	Prec@1 16.406 (9.417)	Prec@5 40.625 (25.187)
Epoch: [0][8310/14090]	Time 0.762 (0.772)	Data 0.001 (0.001)	Loss 3.6926 (4.5920)	Prec@1 17.969 (9.427)	Prec@5 39.844 (25.210)
Epoch: [0][8320/14090]	Time 0.753 (0.772)	Data 0.001 (0.001)	Loss 3.6266 (4.5910)	Prec@1 19.531 (9.440)	Prec@5 45.312 (25.235)
Epoch: [0][8330/14090]	Time 0.886 (0.772)	Data 0.001 (0.001)	Loss 3.6643 (4.5898)	Prec@1 19.531 (9.452)	Prec@5 43.750 (25.261)
Epoch: [0][8340/14090]	Time 0.771 (0.772)	Data 0.001 (0.001)	Loss 3.7481 (4.5887)	Prec@1 16.406 (9.462)	Prec@5 37.500 (25.283)
Epoch: [0][8350/14090]	Time 0.762 (0.772)	Data 0.001 (0.001)	Loss 3.6477 (4.5876)	Prec@1 17.969 (9.475)	Prec@5 47.656 (25.305)
Epoch: [0][8360/14090]	Time 0.759 (0.772)	Data 0.001 (0.001)	Loss 3.7140 (4.5866)	Prec@1 18.750 (9.486)	Prec@5 43.750 (25.329)
Epoch: [0][8370/14090]	Time 0.729 (0.772)	Data 0.001 (0.001)	Loss 3.7686 (4.5856)	Prec@1 19.531 (9.498)	Prec@5 39.062 (25.350)
Epoch: [0][8380/14090]	Time 0.752 (0.772)	Data 0.001 (0.001)	Loss 3.6943 (4.5845)	Prec@1 17.188 (9.510)	Prec@5 47.656 (25.373)
Epoch: [0][8390/14090]	Time 0.737 (0.772)	Data 0.001 (0.001)	Loss 3.5955 (4.5835)	Prec@1 21.875 (9.523)	Prec@5 46.875 (25.397)
Epoch: [0][8400/14090]	Time 0.865 (0.772)	Data 0.001 (0.001)	Loss 3.7102 (4.5824)	Prec@1 17.188 (9.535)	Prec@5 46.875 (25.421)
Epoch: [0][8410/14090]	Time 0.756 (0.772)	Data 0.001 (0.001)	Loss 3.6977 (4.5813)	Prec@1 18.750 (9.547)	Prec@5 44.531 (25.443)
Epoch: [0][8420/14090]	Time 0.777 (0.772)	Data 0.002 (0.001)	Loss 3.5398 (4.5803)	Prec@1 17.969 (9.558)	Prec@5 48.438 (25.466)
Epoch: [0][8430/14090]	Time 0.779 (0.772)	Data 0.001 (0.001)	Loss 3.4820 (4.5792)	Prec@1 20.312 (9.570)	Prec@5 46.094 (25.487)
Epoch: [0][8440/14090]	Time 0.755 (0.772)	Data 0.001 (0.001)	Loss 3.6556 (4.5782)	Prec@1 21.875 (9.581)	Prec@5 44.531 (25.509)
Epoch: [0][8450/14090]	Time 0.732 (0.772)	Data 0.001 (0.001)	Loss 3.8846 (4.5771)	Prec@1 16.406 (9.591)	Prec@5 41.406 (25.532)
Epoch: [0][8460/14090]	Time 0.735 (0.772)	Data 0.001 (0.001)	Loss 3.7233 (4.5761)	Prec@1 19.531 (9.602)	Prec@5 44.531 (25.556)
Epoch: [0][8470/14090]	Time 0.862 (0.772)	Data 0.001 (0.001)	Loss 3.8615 (4.5749)	Prec@1 15.625 (9.616)	Prec@5 32.812 (25.580)
Epoch: [0][8480/14090]	Time 0.736 (0.772)	Data 0.001 (0.001)	Loss 3.7183 (4.5738)	Prec@1 12.500 (9.628)	Prec@5 41.406 (25.603)
Epoch: [0][8490/14090]	Time 0.747 (0.772)	Data 0.001 (0.001)	Loss 3.9457 (4.5728)	Prec@1 12.500 (9.638)	Prec@5 32.812 (25.626)
Epoch: [0][8500/14090]	Time 0.766 (0.772)	Data 0.001 (0.001)	Loss 3.8387 (4.5717)	Prec@1 17.188 (9.650)	Prec@5 42.188 (25.650)
Epoch: [0][8510/14090]	Time 0.722 (0.772)	Data 0.001 (0.001)	Loss 3.7800 (4.5707)	Prec@1 17.188 (9.662)	Prec@5 36.719 (25.671)
Epoch: [0][8520/14090]	Time 0.745 (0.772)	Data 0.001 (0.001)	Loss 3.5454 (4.5696)	Prec@1 20.312 (9.674)	Prec@5 47.656 (25.693)
Epoch: [0][8530/14090]	Time 0.761 (0.772)	Data 0.001 (0.001)	Loss 3.7150 (4.5686)	Prec@1 18.750 (9.685)	Prec@5 48.438 (25.715)
Epoch: [0][8540/14090]	Time 0.880 (0.772)	Data 0.001 (0.001)	Loss 3.5685 (4.5675)	Prec@1 25.781 (9.698)	Prec@5 44.531 (25.739)
Epoch: [0][8550/14090]	Time 0.762 (0.772)	Data 0.001 (0.001)	Loss 3.6066 (4.5664)	Prec@1 23.438 (9.710)	Prec@5 49.219 (25.761)
Epoch: [0][8560/14090]	Time 0.746 (0.772)	Data 0.001 (0.001)	Loss 3.5372 (4.5654)	Prec@1 16.406 (9.720)	Prec@5 43.750 (25.784)
Epoch: [0][8570/14090]	Time 0.773 (0.772)	Data 0.001 (0.001)	Loss 3.6977 (4.5643)	Prec@1 20.312 (9.732)	Prec@5 43.750 (25.808)
Epoch: [0][8580/14090]	Time 0.743 (0.772)	Data 0.001 (0.001)	Loss 3.5914 (4.5632)	Prec@1 18.750 (9.743)	Prec@5 46.875 (25.830)
Epoch: [0][8590/14090]	Time 0.754 (0.772)	Data 0.001 (0.001)	Loss 3.7344 (4.5622)	Prec@1 15.625 (9.757)	Prec@5 47.656 (25.854)
Epoch: [0][8600/14090]	Time 0.778 (0.772)	Data 0.001 (0.001)	Loss 3.5966 (4.5611)	Prec@1 21.875 (9.767)	Prec@5 45.312 (25.876)
Epoch: [0][8610/14090]	Time 1.007 (0.772)	Data 0.001 (0.001)	Loss 3.6026 (4.5601)	Prec@1 17.188 (9.778)	Prec@5 47.656 (25.899)
Epoch: [0][8620/14090]	Time 0.761 (0.772)	Data 0.003 (0.001)	Loss 3.7397 (4.5591)	Prec@1 18.750 (9.791)	Prec@5 42.188 (25.921)
Epoch: [0][8630/14090]	Time 0.753 (0.772)	Data 0.001 (0.001)	Loss 3.5357 (4.5580)	Prec@1 17.969 (9.802)	Prec@5 44.531 (25.943)
Epoch: [0][8640/14090]	Time 0.778 (0.772)	Data 0.001 (0.001)	Loss 3.6245 (4.5570)	Prec@1 17.188 (9.814)	Prec@5 42.188 (25.966)
Epoch: [0][8650/14090]	Time 0.754 (0.772)	Data 0.001 (0.001)	Loss 3.6291 (4.5560)	Prec@1 18.750 (9.824)	Prec@5 44.531 (25.987)
Epoch: [0][8660/14090]	Time 0.759 (0.772)	Data 0.001 (0.001)	Loss 3.5741 (4.5550)	Prec@1 21.094 (9.835)	Prec@5 49.219 (26.011)
Epoch: [0][8670/14090]	Time 0.766 (0.772)	Data 0.001 (0.001)	Loss 3.5567 (4.5539)	Prec@1 23.438 (9.847)	Prec@5 47.656 (26.032)
Epoch: [0][8680/14090]	Time 0.869 (0.772)	Data 0.001 (0.001)	Loss 3.6479 (4.5529)	Prec@1 17.969 (9.859)	Prec@5 53.125 (26.056)
Epoch: [0][8690/14090]	Time 0.752 (0.772)	Data 0.001 (0.001)	Loss 3.6821 (4.5518)	Prec@1 20.312 (9.871)	Prec@5 38.281 (26.078)
Epoch: [0][8700/14090]	Time 0.744 (0.772)	Data 0.001 (0.001)	Loss 3.3837 (4.5508)	Prec@1 21.094 (9.881)	Prec@5 52.344 (26.102)
Epoch: [0][8710/14090]	Time 0.756 (0.772)	Data 0.001 (0.001)	Loss 3.9173 (4.5498)	Prec@1 17.969 (9.892)	Prec@5 39.844 (26.123)
Epoch: [0][8720/14090]	Time 0.755 (0.772)	Data 0.001 (0.001)	Loss 3.7938 (4.5488)	Prec@1 15.625 (9.904)	Prec@5 41.406 (26.145)
Epoch: [0][8730/14090]	Time 0.757 (0.772)	Data 0.001 (0.001)	Loss 3.6804 (4.5477)	Prec@1 16.406 (9.915)	Prec@5 42.188 (26.166)
Epoch: [0][8740/14090]	Time 0.742 (0.772)	Data 0.001 (0.001)	Loss 3.3427 (4.5466)	Prec@1 28.906 (9.927)	Prec@5 46.094 (26.188)
Epoch: [0][8750/14090]	Time 0.849 (0.772)	Data 0.001 (0.001)	Loss 3.5089 (4.5456)	Prec@1 20.312 (9.939)	Prec@5 47.656 (26.210)
Epoch: [0][8760/14090]	Time 0.764 (0.772)	Data 0.001 (0.001)	Loss 3.5523 (4.5446)	Prec@1 18.750 (9.949)	Prec@5 39.844 (26.227)
Epoch: [0][8770/14090]	Time 0.775 (0.772)	Data 0.001 (0.001)	Loss 3.6346 (4.5436)	Prec@1 17.969 (9.960)	Prec@5 48.438 (26.248)
Epoch: [0][8780/14090]	Time 0.792 (0.772)	Data 0.001 (0.001)	Loss 3.5713 (4.5427)	Prec@1 19.531 (9.970)	Prec@5 46.875 (26.268)
Epoch: [0][8790/14090]	Time 0.777 (0.772)	Data 0.001 (0.001)	Loss 3.8776 (4.5417)	Prec@1 16.406 (9.980)	Prec@5 42.969 (26.289)
Epoch: [0][8800/14090]	Time 0.765 (0.772)	Data 0.001 (0.001)	Loss 3.6199 (4.5409)	Prec@1 19.531 (9.990)	Prec@5 46.094 (26.307)
Epoch: [0][8810/14090]	Time 0.755 (0.772)	Data 0.001 (0.001)	Loss 3.4015 (4.5398)	Prec@1 20.312 (10.001)	Prec@5 53.906 (26.330)
Epoch: [0][8820/14090]	Time 0.861 (0.772)	Data 0.001 (0.001)	Loss 3.6528 (4.5388)	Prec@1 20.312 (10.011)	Prec@5 42.188 (26.350)
Epoch: [0][8830/14090]	Time 0.758 (0.772)	Data 0.001 (0.001)	Loss 3.5912 (4.5378)	Prec@1 17.969 (10.022)	Prec@5 46.094 (26.370)
Epoch: [0][8840/14090]	Time 0.741 (0.772)	Data 0.001 (0.001)	Loss 3.3680 (4.5368)	Prec@1 21.875 (10.033)	Prec@5 50.781 (26.393)
Epoch: [0][8850/14090]	Time 0.734 (0.772)	Data 0.001 (0.001)	Loss 3.4047 (4.5357)	Prec@1 22.656 (10.046)	Prec@5 49.219 (26.416)
Epoch: [0][8860/14090]	Time 0.791 (0.772)	Data 0.001 (0.001)	Loss 3.5468 (4.5347)	Prec@1 22.656 (10.056)	Prec@5 44.531 (26.437)
Epoch: [0][8870/14090]	Time 0.761 (0.772)	Data 0.001 (0.001)	Loss 3.7934 (4.5337)	Prec@1 16.406 (10.068)	Prec@5 38.281 (26.458)
Epoch: [0][8880/14090]	Time 0.735 (0.772)	Data 0.001 (0.001)	Loss 3.4733 (4.5326)	Prec@1 20.312 (10.078)	Prec@5 50.000 (26.481)
Epoch: [0][8890/14090]	Time 0.853 (0.772)	Data 0.001 (0.001)	Loss 3.7402 (4.5317)	Prec@1 18.750 (10.089)	Prec@5 42.969 (26.504)
Epoch: [0][8900/14090]	Time 0.761 (0.772)	Data 0.001 (0.001)	Loss 3.4043 (4.5307)	Prec@1 21.875 (10.098)	Prec@5 48.438 (26.526)
Epoch: [0][8910/14090]	Time 0.774 (0.772)	Data 0.001 (0.001)	Loss 3.6055 (4.5297)	Prec@1 22.656 (10.109)	Prec@5 48.438 (26.547)
Epoch: [0][8920/14090]	Time 0.781 (0.772)	Data 0.001 (0.001)	Loss 3.4741 (4.5286)	Prec@1 23.438 (10.121)	Prec@5 49.219 (26.568)
Epoch: [0][8930/14090]	Time 0.725 (0.772)	Data 0.001 (0.001)	Loss 3.7748 (4.5276)	Prec@1 17.969 (10.133)	Prec@5 44.531 (26.591)
Epoch: [0][8940/14090]	Time 0.761 (0.772)	Data 0.001 (0.001)	Loss 3.5961 (4.5265)	Prec@1 22.656 (10.147)	Prec@5 43.750 (26.615)
Epoch: [0][8950/14090]	Time 0.728 (0.772)	Data 0.001 (0.001)	Loss 3.6859 (4.5257)	Prec@1 19.531 (10.157)	Prec@5 46.875 (26.634)
Epoch: [0][8960/14090]	Time 0.880 (0.772)	Data 0.001 (0.001)	Loss 3.4896 (4.5247)	Prec@1 18.750 (10.168)	Prec@5 46.875 (26.655)
Epoch: [0][8970/14090]	Time 0.750 (0.772)	Data 0.001 (0.001)	Loss 3.6532 (4.5238)	Prec@1 22.656 (10.177)	Prec@5 42.969 (26.673)
Epoch: [0][8980/14090]	Time 0.744 (0.772)	Data 0.001 (0.001)	Loss 3.8579 (4.5228)	Prec@1 14.062 (10.190)	Prec@5 36.719 (26.694)
Epoch: [0][8990/14090]	Time 0.757 (0.772)	Data 0.001 (0.001)	Loss 3.4659 (4.5218)	Prec@1 21.875 (10.201)	Prec@5 50.781 (26.714)
Epoch: [0][9000/14090]	Time 0.753 (0.772)	Data 0.001 (0.001)	Loss 3.4531 (4.5209)	Prec@1 26.562 (10.210)	Prec@5 51.562 (26.734)
Epoch: [0][9010/14090]	Time 0.758 (0.772)	Data 0.001 (0.001)	Loss 3.5937 (4.5199)	Prec@1 17.969 (10.219)	Prec@5 43.750 (26.754)
Epoch: [0][9020/14090]	Time 0.753 (0.772)	Data 0.001 (0.001)	Loss 3.9197 (4.5190)	Prec@1 14.062 (10.229)	Prec@5 42.969 (26.773)
Epoch: [0][9030/14090]	Time 0.864 (0.772)	Data 0.001 (0.001)	Loss 3.4391 (4.5179)	Prec@1 21.875 (10.240)	Prec@5 46.875 (26.795)
Epoch: [0][9040/14090]	Time 0.750 (0.772)	Data 0.001 (0.001)	Loss 3.4648 (4.5170)	Prec@1 22.656 (10.250)	Prec@5 52.344 (26.816)
Epoch: [0][9050/14090]	Time 0.749 (0.772)	Data 0.001 (0.001)	Loss 3.5007 (4.5160)	Prec@1 25.000 (10.261)	Prec@5 46.094 (26.837)
Epoch: [0][9060/14090]	Time 0.756 (0.772)	Data 0.001 (0.001)	Loss 3.9646 (4.5150)	Prec@1 9.375 (10.273)	Prec@5 40.625 (26.859)
Epoch: [0][9070/14090]	Time 0.748 (0.772)	Data 0.001 (0.001)	Loss 3.4057 (4.5139)	Prec@1 22.656 (10.285)	Prec@5 52.344 (26.880)
Epoch: [0][9080/14090]	Time 0.772 (0.772)	Data 0.001 (0.001)	Loss 3.7019 (4.5129)	Prec@1 21.094 (10.295)	Prec@5 48.438 (26.902)
Epoch: [0][9090/14090]	Time 0.760 (0.772)	Data 0.001 (0.001)	Loss 3.7213 (4.5119)	Prec@1 21.875 (10.306)	Prec@5 42.969 (26.921)
Epoch: [0][9100/14090]	Time 0.892 (0.772)	Data 0.001 (0.001)	Loss 3.4442 (4.5109)	Prec@1 25.781 (10.317)	Prec@5 49.219 (26.940)
Epoch: [0][9110/14090]	Time 0.752 (0.772)	Data 0.001 (0.001)	Loss 3.3202 (4.5098)	Prec@1 30.469 (10.330)	Prec@5 50.781 (26.962)
Epoch: [0][9120/14090]	Time 0.760 (0.772)	Data 0.001 (0.001)	Loss 3.3837 (4.5089)	Prec@1 21.875 (10.340)	Prec@5 50.781 (26.983)
Epoch: [0][9130/14090]	Time 0.743 (0.772)	Data 0.001 (0.001)	Loss 3.4711 (4.5079)	Prec@1 26.562 (10.351)	Prec@5 50.000 (27.005)
Epoch: [0][9140/14090]	Time 0.748 (0.772)	Data 0.001 (0.001)	Loss 3.5431 (4.5068)	Prec@1 21.875 (10.363)	Prec@5 47.656 (27.026)
Epoch: [0][9150/14090]	Time 0.768 (0.772)	Data 0.001 (0.001)	Loss 3.4594 (4.5059)	Prec@1 23.438 (10.374)	Prec@5 48.438 (27.047)
Epoch: [0][9160/14090]	Time 0.743 (0.772)	Data 0.001 (0.001)	Loss 3.7406 (4.5049)	Prec@1 17.188 (10.386)	Prec@5 42.188 (27.068)
Epoch: [0][9170/14090]	Time 0.886 (0.772)	Data 0.001 (0.001)	Loss 3.5767 (4.5040)	Prec@1 19.531 (10.396)	Prec@5 44.531 (27.089)
Epoch: [0][9180/14090]	Time 0.766 (0.772)	Data 0.001 (0.001)	Loss 3.4315 (4.5030)	Prec@1 22.656 (10.406)	Prec@5 52.344 (27.110)
Epoch: [0][9190/14090]	Time 0.779 (0.772)	Data 0.001 (0.001)	Loss 3.3273 (4.5019)	Prec@1 25.781 (10.420)	Prec@5 50.000 (27.133)
Epoch: [0][9200/14090]	Time 0.727 (0.772)	Data 0.001 (0.001)	Loss 3.6829 (4.5009)	Prec@1 14.844 (10.430)	Prec@5 42.969 (27.155)
Epoch: [0][9210/14090]	Time 0.743 (0.772)	Data 0.001 (0.001)	Loss 3.7185 (4.4999)	Prec@1 17.969 (10.443)	Prec@5 42.969 (27.177)
Epoch: [0][9220/14090]	Time 0.729 (0.772)	Data 0.001 (0.001)	Loss 3.5186 (4.4989)	Prec@1 26.562 (10.456)	Prec@5 49.219 (27.200)
Epoch: [0][9230/14090]	Time 0.737 (0.772)	Data 0.001 (0.001)	Loss 3.5519 (4.4979)	Prec@1 18.750 (10.465)	Prec@5 46.094 (27.219)
Epoch: [0][9240/14090]	Time 0.866 (0.772)	Data 0.001 (0.001)	Loss 3.5741 (4.4970)	Prec@1 26.562 (10.476)	Prec@5 49.219 (27.238)
Epoch: [0][9250/14090]	Time 0.745 (0.772)	Data 0.001 (0.001)	Loss 3.5833 (4.4961)	Prec@1 17.969 (10.487)	Prec@5 47.656 (27.259)
Epoch: [0][9260/14090]	Time 0.760 (0.772)	Data 0.001 (0.001)	Loss 3.4642 (4.4951)	Prec@1 25.781 (10.497)	Prec@5 50.781 (27.281)
Epoch: [0][9270/14090]	Time 0.748 (0.772)	Data 0.001 (0.001)	Loss 3.6103 (4.4942)	Prec@1 22.656 (10.507)	Prec@5 47.656 (27.301)
Epoch: [0][9280/14090]	Time 0.779 (0.772)	Data 0.001 (0.001)	Loss 3.6637 (4.4932)	Prec@1 21.875 (10.520)	Prec@5 46.094 (27.325)
Epoch: [0][9290/14090]	Time 0.755 (0.772)	Data 0.001 (0.001)	Loss 3.6318 (4.4923)	Prec@1 18.750 (10.530)	Prec@5 40.625 (27.343)
Epoch: [0][9300/14090]	Time 0.723 (0.772)	Data 0.001 (0.001)	Loss 3.8455 (4.4913)	Prec@1 17.969 (10.541)	Prec@5 41.406 (27.363)
Epoch: [0][9310/14090]	Time 0.886 (0.772)	Data 0.001 (0.001)	Loss 3.5410 (4.4904)	Prec@1 17.188 (10.551)	Prec@5 45.312 (27.382)
Epoch: [0][9320/14090]	Time 0.751 (0.772)	Data 0.001 (0.001)	Loss 3.6608 (4.4895)	Prec@1 23.438 (10.560)	Prec@5 46.094 (27.401)
Epoch: [0][9330/14090]	Time 0.749 (0.772)	Data 0.001 (0.001)	Loss 3.4899 (4.4885)	Prec@1 25.781 (10.573)	Prec@5 49.219 (27.422)
Epoch: [0][9340/14090]	Time 0.771 (0.772)	Data 0.001 (0.001)	Loss 3.6550 (4.4877)	Prec@1 26.562 (10.583)	Prec@5 46.875 (27.442)
Epoch: [0][9350/14090]	Time 0.743 (0.772)	Data 0.001 (0.001)	Loss 3.3799 (4.4866)	Prec@1 20.312 (10.593)	Prec@5 51.562 (27.465)
Epoch: [0][9360/14090]	Time 0.736 (0.772)	Data 0.001 (0.001)	Loss 3.6074 (4.4857)	Prec@1 15.625 (10.605)	Prec@5 42.188 (27.483)
Epoch: [0][9370/14090]	Time 0.740 (0.772)	Data 0.001 (0.001)	Loss 3.6417 (4.4848)	Prec@1 18.750 (10.615)	Prec@5 50.781 (27.502)
Epoch: [0][9380/14090]	Time 0.871 (0.772)	Data 0.001 (0.001)	Loss 3.5725 (4.4837)	Prec@1 22.656 (10.628)	Prec@5 41.406 (27.525)
Epoch: [0][9390/14090]	Time 0.758 (0.772)	Data 0.001 (0.001)	Loss 3.5713 (4.4828)	Prec@1 21.094 (10.639)	Prec@5 45.312 (27.546)
Epoch: [0][9400/14090]	Time 0.755 (0.772)	Data 0.001 (0.001)	Loss 3.7373 (4.4819)	Prec@1 17.969 (10.648)	Prec@5 40.625 (27.564)
Epoch: [0][9410/14090]	Time 0.786 (0.772)	Data 0.001 (0.001)	Loss 3.6243 (4.4809)	Prec@1 22.656 (10.659)	Prec@5 48.438 (27.585)
Epoch: [0][9420/14090]	Time 0.764 (0.772)	Data 0.001 (0.001)	Loss 3.6406 (4.4800)	Prec@1 21.875 (10.671)	Prec@5 46.875 (27.607)
Epoch: [0][9430/14090]	Time 0.757 (0.772)	Data 0.001 (0.001)	Loss 3.4848 (4.4790)	Prec@1 24.219 (10.683)	Prec@5 49.219 (27.628)
Epoch: [0][9440/14090]	Time 0.782 (0.772)	Data 0.001 (0.001)	Loss 3.6601 (4.4780)	Prec@1 15.625 (10.694)	Prec@5 43.750 (27.651)
Epoch: [0][9450/14090]	Time 0.967 (0.772)	Data 0.001 (0.001)	Loss 3.6518 (4.4771)	Prec@1 17.969 (10.704)	Prec@5 41.406 (27.669)
Epoch: [0][9460/14090]	Time 0.753 (0.772)	Data 0.001 (0.001)	Loss 3.7948 (4.4762)	Prec@1 21.875 (10.714)	Prec@5 41.406 (27.689)
Epoch: [0][9470/14090]	Time 0.739 (0.772)	Data 0.001 (0.001)	Loss 3.5715 (4.4753)	Prec@1 21.875 (10.723)	Prec@5 50.000 (27.708)
Epoch: [0][9480/14090]	Time 0.773 (0.772)	Data 0.001 (0.001)	Loss 3.5434 (4.4744)	Prec@1 19.531 (10.731)	Prec@5 47.656 (27.727)
Epoch: [0][9490/14090]	Time 0.743 (0.772)	Data 0.001 (0.001)	Loss 3.4242 (4.4734)	Prec@1 23.438 (10.742)	Prec@5 50.781 (27.749)
Epoch: [0][9500/14090]	Time 0.751 (0.772)	Data 0.001 (0.001)	Loss 3.3702 (4.4724)	Prec@1 18.750 (10.754)	Prec@5 47.656 (27.769)
Epoch: [0][9510/14090]	Time 0.743 (0.772)	Data 0.001 (0.001)	Loss 3.6627 (4.4714)	Prec@1 21.875 (10.765)	Prec@5 46.875 (27.790)
Epoch: [0][9520/14090]	Time 0.843 (0.772)	Data 0.001 (0.001)	Loss 3.2836 (4.4705)	Prec@1 31.250 (10.777)	Prec@5 54.688 (27.810)
Epoch: [0][9530/14090]	Time 0.747 (0.772)	Data 0.001 (0.001)	Loss 3.7651 (4.4696)	Prec@1 17.188 (10.788)	Prec@5 46.094 (27.830)
Epoch: [0][9540/14090]	Time 0.745 (0.772)	Data 0.001 (0.001)	Loss 3.5662 (4.4687)	Prec@1 17.188 (10.796)	Prec@5 42.969 (27.849)
Epoch: [0][9550/14090]	Time 0.738 (0.772)	Data 0.001 (0.001)	Loss 3.5616 (4.4678)	Prec@1 19.531 (10.807)	Prec@5 46.094 (27.870)
Epoch: [0][9560/14090]	Time 0.754 (0.772)	Data 0.001 (0.001)	Loss 3.4871 (4.4668)	Prec@1 17.969 (10.815)	Prec@5 47.656 (27.888)
Epoch: [0][9570/14090]	Time 0.727 (0.772)	Data 0.001 (0.001)	Loss 3.7254 (4.4660)	Prec@1 15.625 (10.825)	Prec@5 40.625 (27.906)
Epoch: [0][9580/14090]	Time 0.748 (0.772)	Data 0.001 (0.001)	Loss 3.5734 (4.4651)	Prec@1 16.406 (10.835)	Prec@5 47.656 (27.925)
Epoch: [0][9590/14090]	Time 0.848 (0.772)	Data 0.001 (0.001)	Loss 3.6225 (4.4641)	Prec@1 21.875 (10.846)	Prec@5 42.188 (27.945)
Epoch: [0][9600/14090]	Time 0.758 (0.772)	Data 0.001 (0.001)	Loss 3.8366 (4.4633)	Prec@1 21.094 (10.856)	Prec@5 42.969 (27.963)
Epoch: [0][9610/14090]	Time 0.750 (0.772)	Data 0.001 (0.001)	Loss 3.4581 (4.4625)	Prec@1 25.000 (10.866)	Prec@5 46.875 (27.982)
Epoch: [0][9620/14090]	Time 0.771 (0.772)	Data 0.001 (0.001)	Loss 3.6383 (4.4615)	Prec@1 23.438 (10.879)	Prec@5 47.656 (28.002)
Epoch: [0][9630/14090]	Time 0.745 (0.772)	Data 0.001 (0.001)	Loss 3.7377 (4.4607)	Prec@1 13.281 (10.886)	Prec@5 45.312 (28.021)
Epoch: [0][9640/14090]	Time 0.728 (0.772)	Data 0.001 (0.001)	Loss 3.5730 (4.4598)	Prec@1 25.000 (10.895)	Prec@5 46.875 (28.039)
Epoch: [0][9650/14090]	Time 0.749 (0.772)	Data 0.001 (0.001)	Loss 3.5352 (4.4589)	Prec@1 25.000 (10.906)	Prec@5 47.656 (28.059)
Epoch: [0][9660/14090]	Time 0.853 (0.772)	Data 0.001 (0.001)	Loss 3.6082 (4.4580)	Prec@1 21.094 (10.917)	Prec@5 46.875 (28.076)
Epoch: [0][9670/14090]	Time 0.751 (0.772)	Data 0.001 (0.001)	Loss 3.4015 (4.4571)	Prec@1 23.438 (10.927)	Prec@5 49.219 (28.096)
Epoch: [0][9680/14090]	Time 0.752 (0.771)	Data 0.001 (0.001)	Loss 3.4403 (4.4562)	Prec@1 16.406 (10.936)	Prec@5 51.562 (28.115)
Epoch: [0][9690/14090]	Time 0.736 (0.771)	Data 0.001 (0.001)	Loss 3.4983 (4.4553)	Prec@1 20.312 (10.946)	Prec@5 53.125 (28.134)
Epoch: [0][9700/14090]	Time 0.783 (0.771)	Data 0.001 (0.001)	Loss 3.4066 (4.4544)	Prec@1 20.312 (10.957)	Prec@5 53.906 (28.154)
Epoch: [0][9710/14090]	Time 0.760 (0.772)	Data 0.001 (0.001)	Loss 3.6982 (4.4535)	Prec@1 17.969 (10.966)	Prec@5 43.750 (28.172)
Epoch: [0][9720/14090]	Time 0.748 (0.771)	Data 0.001 (0.001)	Loss 3.5075 (4.4525)	Prec@1 24.219 (10.979)	Prec@5 46.094 (28.194)
Epoch: [0][9730/14090]	Time 0.844 (0.772)	Data 0.001 (0.001)	Loss 3.3678 (4.4515)	Prec@1 21.875 (10.992)	Prec@5 50.781 (28.216)
Epoch: [0][9740/14090]	Time 0.752 (0.772)	Data 0.001 (0.001)	Loss 3.6237 (4.4505)	Prec@1 17.188 (11.002)	Prec@5 42.188 (28.236)
Epoch: [0][9750/14090]	Time 0.749 (0.771)	Data 0.002 (0.001)	Loss 3.7212 (4.4496)	Prec@1 19.531 (11.011)	Prec@5 39.844 (28.256)
Epoch: [0][9760/14090]	Time 0.742 (0.772)	Data 0.001 (0.001)	Loss 3.2311 (4.4487)	Prec@1 25.000 (11.021)	Prec@5 53.906 (28.275)
Epoch: [0][9770/14090]	Time 0.746 (0.771)	Data 0.001 (0.001)	Loss 3.3621 (4.4478)	Prec@1 23.438 (11.032)	Prec@5 50.000 (28.296)
Epoch: [0][9780/14090]	Time 0.737 (0.772)	Data 0.001 (0.001)	Loss 3.4507 (4.4469)	Prec@1 26.562 (11.044)	Prec@5 50.781 (28.315)
Epoch: [0][9790/14090]	Time 0.783 (0.771)	Data 0.001 (0.001)	Loss 3.5854 (4.4459)	Prec@1 21.875 (11.054)	Prec@5 46.875 (28.336)
Epoch: [0][9800/14090]	Time 0.902 (0.772)	Data 0.001 (0.001)	Loss 3.5345 (4.4450)	Prec@1 25.000 (11.064)	Prec@5 41.406 (28.354)
Epoch: [0][9810/14090]	Time 0.758 (0.772)	Data 0.001 (0.001)	Loss 3.4021 (4.4441)	Prec@1 23.438 (11.075)	Prec@5 45.312 (28.374)
Epoch: [0][9820/14090]	Time 0.771 (0.772)	Data 0.001 (0.001)	Loss 3.8139 (4.4432)	Prec@1 16.406 (11.085)	Prec@5 39.062 (28.392)
Epoch: [0][9830/14090]	Time 0.753 (0.772)	Data 0.001 (0.001)	Loss 3.3573 (4.4423)	Prec@1 22.656 (11.094)	Prec@5 47.656 (28.412)
Epoch: [0][9840/14090]	Time 0.750 (0.772)	Data 0.001 (0.001)	Loss 3.3542 (4.4413)	Prec@1 21.094 (11.105)	Prec@5 53.906 (28.432)
Epoch: [0][9850/14090]	Time 0.736 (0.772)	Data 0.001 (0.001)	Loss 3.8299 (4.4405)	Prec@1 21.094 (11.114)	Prec@5 39.844 (28.450)
Epoch: [0][9860/14090]	Time 0.751 (0.772)	Data 0.001 (0.001)	Loss 3.5221 (4.4397)	Prec@1 17.188 (11.122)	Prec@5 45.312 (28.466)
Epoch: [0][9870/14090]	Time 0.932 (0.772)	Data 0.001 (0.001)	Loss 3.4937 (4.4387)	Prec@1 19.531 (11.134)	Prec@5 49.219 (28.487)
Epoch: [0][9880/14090]	Time 0.783 (0.772)	Data 0.001 (0.001)	Loss 3.5529 (4.4379)	Prec@1 25.000 (11.145)	Prec@5 52.344 (28.508)
Epoch: [0][9890/14090]	Time 0.726 (0.772)	Data 0.001 (0.001)	Loss 3.4622 (4.4370)	Prec@1 22.656 (11.156)	Prec@5 48.438 (28.529)
Epoch: [0][9900/14090]	Time 0.751 (0.772)	Data 0.001 (0.001)	Loss 3.3316 (4.4361)	Prec@1 24.219 (11.167)	Prec@5 54.688 (28.548)
Epoch: [0][9910/14090]	Time 0.742 (0.772)	Data 0.001 (0.001)	Loss 3.7412 (4.4353)	Prec@1 14.844 (11.176)	Prec@5 39.062 (28.565)
Epoch: [0][9920/14090]	Time 0.729 (0.772)	Data 0.001 (0.001)	Loss 3.4868 (4.4344)	Prec@1 24.219 (11.187)	Prec@5 48.438 (28.586)
Epoch: [0][9930/14090]	Time 0.743 (0.772)	Data 0.001 (0.001)	Loss 3.5541 (4.4335)	Prec@1 19.531 (11.199)	Prec@5 46.094 (28.604)
Epoch: [0][9940/14090]	Time 0.861 (0.772)	Data 0.001 (0.001)	Loss 3.2179 (4.4325)	Prec@1 26.562 (11.210)	Prec@5 56.250 (28.626)
Epoch: [0][9950/14090]	Time 0.747 (0.772)	Data 0.001 (0.001)	Loss 3.8779 (4.4316)	Prec@1 18.750 (11.220)	Prec@5 40.625 (28.644)
Epoch: [0][9960/14090]	Time 0.776 (0.772)	Data 0.001 (0.001)	Loss 3.7171 (4.4307)	Prec@1 16.406 (11.231)	Prec@5 44.531 (28.664)
Epoch: [0][9970/14090]	Time 0.750 (0.772)	Data 0.001 (0.001)	Loss 3.3632 (4.4298)	Prec@1 24.219 (11.243)	Prec@5 50.000 (28.685)
Epoch: [0][9980/14090]	Time 0.752 (0.772)	Data 0.001 (0.001)	Loss 3.5261 (4.4289)	Prec@1 23.438 (11.254)	Prec@5 50.000 (28.704)
Epoch: [0][9990/14090]	Time 0.755 (0.772)	Data 0.001 (0.001)	Loss 3.5042 (4.4280)	Prec@1 23.438 (11.264)	Prec@5 49.219 (28.723)
Epoch: [0][10000/14090]	Time 0.732 (0.772)	Data 0.001 (0.001)	Loss 3.5114 (4.4272)	Prec@1 16.406 (11.272)	Prec@5 47.656 (28.741)
Epoch: [0][10010/14090]	Time 0.873 (0.772)	Data 0.001 (0.001)	Loss 3.8069 (4.4263)	Prec@1 15.625 (11.282)	Prec@5 43.750 (28.760)
Epoch: [0][10020/14090]	Time 0.756 (0.772)	Data 0.001 (0.001)	Loss 3.6275 (4.4255)	Prec@1 24.219 (11.291)	Prec@5 48.438 (28.778)
Epoch: [0][10030/14090]	Time 0.770 (0.771)	Data 0.001 (0.001)	Loss 3.6279 (4.4247)	Prec@1 20.312 (11.301)	Prec@5 47.656 (28.795)
Epoch: [0][10040/14090]	Time 0.761 (0.771)	Data 0.001 (0.001)	Loss 3.2341 (4.4238)	Prec@1 25.000 (11.312)	Prec@5 54.688 (28.815)
Epoch: [0][10050/14090]	Time 0.780 (0.771)	Data 0.001 (0.001)	Loss 3.9807 (4.4230)	Prec@1 15.625 (11.319)	Prec@5 42.188 (28.833)
Epoch: [0][10060/14090]	Time 0.740 (0.771)	Data 0.001 (0.001)	Loss 3.6679 (4.4221)	Prec@1 22.656 (11.330)	Prec@5 40.625 (28.853)
Epoch: [0][10070/14090]	Time 0.745 (0.771)	Data 0.001 (0.001)	Loss 3.5694 (4.4212)	Prec@1 24.219 (11.340)	Prec@5 46.875 (28.872)
Epoch: [0][10080/14090]	Time 0.857 (0.772)	Data 0.001 (0.001)	Loss 3.3983 (4.4203)	Prec@1 25.000 (11.349)	Prec@5 53.906 (28.892)
Epoch: [0][10090/14090]	Time 0.776 (0.771)	Data 0.001 (0.001)	Loss 3.4680 (4.4194)	Prec@1 20.312 (11.359)	Prec@5 52.344 (28.911)
Epoch: [0][10100/14090]	Time 0.743 (0.771)	Data 0.001 (0.001)	Loss 3.5164 (4.4185)	Prec@1 18.750 (11.370)	Prec@5 46.875 (28.930)
Epoch: [0][10110/14090]	Time 0.768 (0.771)	Data 0.001 (0.001)	Loss 3.6411 (4.4176)	Prec@1 16.406 (11.381)	Prec@5 45.312 (28.949)
Epoch: [0][10120/14090]	Time 0.770 (0.771)	Data 0.005 (0.001)	Loss 3.4651 (4.4167)	Prec@1 26.562 (11.391)	Prec@5 50.000 (28.969)
Epoch: [0][10130/14090]	Time 0.770 (0.771)	Data 0.001 (0.001)	Loss 3.3845 (4.4159)	Prec@1 23.438 (11.401)	Prec@5 48.438 (28.988)
Epoch: [0][10140/14090]	Time 0.778 (0.771)	Data 0.001 (0.001)	Loss 3.7418 (4.4151)	Prec@1 17.188 (11.409)	Prec@5 42.188 (29.005)
Epoch: [0][10150/14090]	Time 0.855 (0.771)	Data 0.001 (0.001)	Loss 3.7148 (4.4144)	Prec@1 21.094 (11.418)	Prec@5 47.656 (29.022)
Epoch: [0][10160/14090]	Time 0.769 (0.771)	Data 0.001 (0.001)	Loss 3.4428 (4.4135)	Prec@1 25.000 (11.427)	Prec@5 53.906 (29.040)
Epoch: [0][10170/14090]	Time 0.795 (0.771)	Data 0.001 (0.001)	Loss 3.6137 (4.4127)	Prec@1 15.625 (11.437)	Prec@5 45.312 (29.057)
Epoch: [0][10180/14090]	Time 0.739 (0.771)	Data 0.001 (0.001)	Loss 3.5722 (4.4119)	Prec@1 17.969 (11.446)	Prec@5 49.219 (29.076)
Epoch: [0][10190/14090]	Time 0.765 (0.771)	Data 0.001 (0.001)	Loss 3.3428 (4.4110)	Prec@1 27.344 (11.458)	Prec@5 47.656 (29.097)
Epoch: [0][10200/14090]	Time 0.766 (0.771)	Data 0.001 (0.001)	Loss 3.2846 (4.4100)	Prec@1 22.656 (11.468)	Prec@5 53.906 (29.118)
Epoch: [0][10210/14090]	Time 0.772 (0.771)	Data 0.002 (0.001)	Loss 3.5195 (4.4092)	Prec@1 23.438 (11.478)	Prec@5 49.219 (29.137)
Epoch: [0][10220/14090]	Time 0.865 (0.771)	Data 0.001 (0.001)	Loss 3.5518 (4.4084)	Prec@1 23.438 (11.488)	Prec@5 46.094 (29.156)
Epoch: [0][10230/14090]	Time 0.750 (0.771)	Data 0.001 (0.001)	Loss 3.3643 (4.4076)	Prec@1 25.781 (11.496)	Prec@5 50.781 (29.173)
Epoch: [0][10240/14090]	Time 0.782 (0.771)	Data 0.001 (0.001)	Loss 3.6674 (4.4068)	Prec@1 13.281 (11.506)	Prec@5 44.531 (29.191)
Epoch: [0][10250/14090]	Time 0.744 (0.771)	Data 0.001 (0.001)	Loss 3.4111 (4.4059)	Prec@1 18.750 (11.515)	Prec@5 50.000 (29.210)
Epoch: [0][10260/14090]	Time 0.739 (0.771)	Data 0.001 (0.001)	Loss 3.3232 (4.4051)	Prec@1 24.219 (11.524)	Prec@5 53.125 (29.228)
Epoch: [0][10270/14090]	Time 0.763 (0.771)	Data 0.001 (0.001)	Loss 3.5327 (4.4042)	Prec@1 21.875 (11.536)	Prec@5 47.656 (29.249)
Epoch: [0][10280/14090]	Time 0.747 (0.771)	Data 0.001 (0.001)	Loss 3.7984 (4.4034)	Prec@1 17.188 (11.546)	Prec@5 41.406 (29.267)
Epoch: [0][10290/14090]	Time 0.849 (0.771)	Data 0.001 (0.001)	Loss 3.4825 (4.4026)	Prec@1 24.219 (11.556)	Prec@5 51.562 (29.283)
Epoch: [0][10300/14090]	Time 0.732 (0.771)	Data 0.001 (0.001)	Loss 3.5969 (4.4018)	Prec@1 19.531 (11.565)	Prec@5 47.656 (29.300)
Epoch: [0][10310/14090]	Time 0.743 (0.771)	Data 0.001 (0.001)	Loss 3.3453 (4.4010)	Prec@1 16.406 (11.572)	Prec@5 53.906 (29.317)
Epoch: [0][10320/14090]	Time 0.725 (0.771)	Data 0.001 (0.001)	Loss 3.4297 (4.4001)	Prec@1 23.438 (11.583)	Prec@5 52.344 (29.337)
Epoch: [0][10330/14090]	Time 0.758 (0.771)	Data 0.001 (0.001)	Loss 3.5215 (4.3991)	Prec@1 21.094 (11.594)	Prec@5 45.312 (29.357)
Epoch: [0][10340/14090]	Time 0.730 (0.771)	Data 0.001 (0.001)	Loss 3.2931 (4.3982)	Prec@1 23.438 (11.606)	Prec@5 54.688 (29.376)
Epoch: [0][10350/14090]	Time 0.742 (0.771)	Data 0.001 (0.001)	Loss 3.3720 (4.3973)	Prec@1 22.656 (11.615)	Prec@5 47.656 (29.395)
Epoch: [0][10360/14090]	Time 0.889 (0.771)	Data 0.001 (0.001)	Loss 3.7158 (4.3965)	Prec@1 21.875 (11.626)	Prec@5 50.000 (29.414)
Epoch: [0][10370/14090]	Time 0.780 (0.771)	Data 0.001 (0.001)	Loss 3.4179 (4.3955)	Prec@1 23.438 (11.639)	Prec@5 49.219 (29.434)
Epoch: [0][10380/14090]	Time 0.762 (0.771)	Data 0.001 (0.001)	Loss 4.0020 (4.3948)	Prec@1 15.625 (11.649)	Prec@5 36.719 (29.450)
Epoch: [0][10390/14090]	Time 0.734 (0.771)	Data 0.001 (0.001)	Loss 3.5655 (4.3939)	Prec@1 18.750 (11.659)	Prec@5 49.219 (29.469)
Epoch: [0][10400/14090]	Time 0.765 (0.771)	Data 0.001 (0.001)	Loss 3.5520 (4.3931)	Prec@1 19.531 (11.668)	Prec@5 49.219 (29.484)
Epoch: [0][10410/14090]	Time 0.750 (0.771)	Data 0.001 (0.001)	Loss 3.3339 (4.3923)	Prec@1 27.344 (11.679)	Prec@5 50.000 (29.501)
Epoch: [0][10420/14090]	Time 0.750 (0.771)	Data 0.001 (0.001)	Loss 3.5899 (4.3915)	Prec@1 21.094 (11.687)	Prec@5 46.875 (29.520)
Epoch: [0][10430/14090]	Time 0.858 (0.771)	Data 0.001 (0.001)	Loss 3.5957 (4.3908)	Prec@1 21.094 (11.697)	Prec@5 46.875 (29.536)
Epoch: [0][10440/14090]	Time 0.738 (0.771)	Data 0.001 (0.001)	Loss 3.3734 (4.3899)	Prec@1 23.438 (11.707)	Prec@5 56.250 (29.555)
Epoch: [0][10450/14090]	Time 0.727 (0.771)	Data 0.001 (0.001)	Loss 3.3519 (4.3891)	Prec@1 23.438 (11.717)	Prec@5 53.906 (29.573)
Epoch: [0][10460/14090]	Time 0.786 (0.771)	Data 0.001 (0.001)	Loss 3.4190 (4.3882)	Prec@1 22.656 (11.725)	Prec@5 48.438 (29.592)
Epoch: [0][10470/14090]	Time 0.782 (0.771)	Data 0.001 (0.001)	Loss 3.3713 (4.3873)	Prec@1 22.656 (11.736)	Prec@5 52.344 (29.612)
Epoch: [0][10480/14090]	Time 0.737 (0.771)	Data 0.001 (0.001)	Loss 3.0507 (4.3865)	Prec@1 30.469 (11.748)	Prec@5 60.156 (29.631)
Epoch: [0][10490/14090]	Time 0.764 (0.771)	Data 0.001 (0.001)	Loss 3.4317 (4.3856)	Prec@1 22.656 (11.757)	Prec@5 55.469 (29.650)
Epoch: [0][10500/14090]	Time 0.850 (0.771)	Data 0.001 (0.001)	Loss 3.5211 (4.3847)	Prec@1 18.750 (11.767)	Prec@5 50.781 (29.669)
Epoch: [0][10510/14090]	Time 0.765 (0.771)	Data 0.001 (0.001)	Loss 3.5844 (4.3840)	Prec@1 18.750 (11.775)	Prec@5 44.531 (29.686)
Epoch: [0][10520/14090]	Time 0.745 (0.771)	Data 0.001 (0.001)	Loss 3.4413 (4.3831)	Prec@1 28.125 (11.786)	Prec@5 52.344 (29.707)
Epoch: [0][10530/14090]	Time 0.755 (0.771)	Data 0.001 (0.001)	Loss 3.3567 (4.3822)	Prec@1 28.125 (11.796)	Prec@5 54.688 (29.726)
Epoch: [0][10540/14090]	Time 0.746 (0.771)	Data 0.001 (0.001)	Loss 3.2319 (4.3814)	Prec@1 23.438 (11.806)	Prec@5 56.250 (29.743)
Epoch: [0][10550/14090]	Time 0.739 (0.771)	Data 0.001 (0.001)	Loss 3.4966 (4.3806)	Prec@1 21.094 (11.816)	Prec@5 50.000 (29.760)
Epoch: [0][10560/14090]	Time 0.759 (0.771)	Data 0.001 (0.001)	Loss 3.4129 (4.3798)	Prec@1 25.000 (11.826)	Prec@5 53.906 (29.778)
Epoch: [0][10570/14090]	Time 0.871 (0.771)	Data 0.001 (0.001)	Loss 3.6367 (4.3789)	Prec@1 17.188 (11.836)	Prec@5 42.188 (29.797)
Epoch: [0][10580/14090]	Time 0.770 (0.771)	Data 0.001 (0.001)	Loss 3.5541 (4.3781)	Prec@1 18.750 (11.842)	Prec@5 45.312 (29.814)
Epoch: [0][10590/14090]	Time 0.751 (0.771)	Data 0.001 (0.001)	Loss 3.5671 (4.3773)	Prec@1 19.531 (11.853)	Prec@5 47.656 (29.832)
Epoch: [0][10600/14090]	Time 0.779 (0.771)	Data 0.001 (0.001)	Loss 3.5887 (4.3765)	Prec@1 17.188 (11.864)	Prec@5 53.125 (29.850)
Epoch: [0][10610/14090]	Time 0.749 (0.771)	Data 0.001 (0.001)	Loss 3.7011 (4.3757)	Prec@1 19.531 (11.872)	Prec@5 43.750 (29.865)
Epoch: [0][10620/14090]	Time 0.744 (0.771)	Data 0.001 (0.001)	Loss 3.2957 (4.3749)	Prec@1 25.781 (11.880)	Prec@5 53.125 (29.880)
Epoch: [0][10630/14090]	Time 0.735 (0.771)	Data 0.001 (0.001)	Loss 3.6071 (4.3741)	Prec@1 21.094 (11.889)	Prec@5 46.094 (29.897)
Epoch: [0][10640/14090]	Time 0.869 (0.771)	Data 0.001 (0.001)	Loss 3.3921 (4.3734)	Prec@1 19.531 (11.897)	Prec@5 55.469 (29.913)
Epoch: [0][10650/14090]	Time 0.766 (0.771)	Data 0.001 (0.001)	Loss 3.5265 (4.3726)	Prec@1 23.438 (11.906)	Prec@5 49.219 (29.931)
Epoch: [0][10660/14090]	Time 0.755 (0.771)	Data 0.001 (0.001)	Loss 3.4356 (4.3718)	Prec@1 21.094 (11.915)	Prec@5 48.438 (29.946)
Epoch: [0][10670/14090]	Time 0.731 (0.771)	Data 0.001 (0.001)	Loss 3.8491 (4.3710)	Prec@1 16.406 (11.924)	Prec@5 42.188 (29.962)
Epoch: [0][10680/14090]	Time 0.761 (0.771)	Data 0.001 (0.001)	Loss 3.4578 (4.3701)	Prec@1 21.875 (11.936)	Prec@5 51.562 (29.981)
Epoch: [0][10690/14090]	Time 0.767 (0.771)	Data 0.001 (0.001)	Loss 3.5587 (4.3693)	Prec@1 17.188 (11.946)	Prec@5 45.312 (30.001)
Epoch: [0][10700/14090]	Time 0.763 (0.771)	Data 0.001 (0.001)	Loss 3.3886 (4.3685)	Prec@1 30.469 (11.956)	Prec@5 53.906 (30.016)
Epoch: [0][10710/14090]	Time 0.865 (0.771)	Data 0.001 (0.001)	Loss 3.6183 (4.3676)	Prec@1 18.750 (11.967)	Prec@5 46.875 (30.035)
Epoch: [0][10720/14090]	Time 0.730 (0.771)	Data 0.001 (0.001)	Loss 4.0837 (4.3668)	Prec@1 17.188 (11.977)	Prec@5 40.625 (30.052)
Epoch: [0][10730/14090]	Time 0.737 (0.771)	Data 0.001 (0.001)	Loss 3.4567 (4.3660)	Prec@1 26.562 (11.988)	Prec@5 46.875 (30.070)
Epoch: [0][10740/14090]	Time 0.757 (0.771)	Data 0.001 (0.001)	Loss 3.5012 (4.3652)	Prec@1 21.094 (11.998)	Prec@5 50.000 (30.086)
Epoch: [0][10750/14090]	Time 0.754 (0.771)	Data 0.001 (0.001)	Loss 3.3909 (4.3644)	Prec@1 23.438 (12.008)	Prec@5 46.875 (30.103)
Epoch: [0][10760/14090]	Time 0.735 (0.771)	Data 0.001 (0.001)	Loss 3.2852 (4.3636)	Prec@1 25.781 (12.017)	Prec@5 47.656 (30.120)
Epoch: [0][10770/14090]	Time 0.803 (0.771)	Data 0.001 (0.001)	Loss 3.6375 (4.3629)	Prec@1 21.094 (12.027)	Prec@5 46.875 (30.136)
Epoch: [0][10780/14090]	Time 0.844 (0.771)	Data 0.001 (0.001)	Loss 3.8287 (4.3622)	Prec@1 13.281 (12.035)	Prec@5 41.406 (30.151)
Epoch: [0][10790/14090]	Time 0.753 (0.771)	Data 0.001 (0.001)	Loss 3.4419 (4.3614)	Prec@1 22.656 (12.045)	Prec@5 46.875 (30.168)
Epoch: [0][10800/14090]	Time 0.747 (0.771)	Data 0.001 (0.001)	Loss 3.2899 (4.3606)	Prec@1 20.312 (12.055)	Prec@5 57.031 (30.186)
Epoch: [0][10810/14090]	Time 0.751 (0.771)	Data 0.001 (0.001)	Loss 3.4667 (4.3599)	Prec@1 19.531 (12.062)	Prec@5 43.750 (30.201)
Epoch: [0][10820/14090]	Time 0.756 (0.771)	Data 0.001 (0.001)	Loss 3.8025 (4.3590)	Prec@1 17.969 (12.073)	Prec@5 43.750 (30.219)
Epoch: [0][10830/14090]	Time 0.757 (0.771)	Data 0.001 (0.001)	Loss 3.6628 (4.3583)	Prec@1 24.219 (12.081)	Prec@5 41.406 (30.235)
Epoch: [0][10840/14090]	Time 0.744 (0.771)	Data 0.001 (0.001)	Loss 3.2664 (4.3575)	Prec@1 27.344 (12.093)	Prec@5 57.031 (30.254)
Epoch: [0][10850/14090]	Time 0.878 (0.771)	Data 0.001 (0.001)	Loss 3.5358 (4.3566)	Prec@1 19.531 (12.102)	Prec@5 48.438 (30.270)
Epoch: [0][10860/14090]	Time 0.758 (0.771)	Data 0.001 (0.001)	Loss 3.7095 (4.3559)	Prec@1 15.625 (12.111)	Prec@5 44.531 (30.286)
Epoch: [0][10870/14090]	Time 0.747 (0.771)	Data 0.001 (0.001)	Loss 3.4973 (4.3552)	Prec@1 22.656 (12.120)	Prec@5 49.219 (30.302)
Epoch: [0][10880/14090]	Time 0.740 (0.771)	Data 0.001 (0.001)	Loss 3.4791 (4.3544)	Prec@1 25.000 (12.129)	Prec@5 50.000 (30.317)
Epoch: [0][10890/14090]	Time 0.786 (0.771)	Data 0.001 (0.001)	Loss 3.4428 (4.3536)	Prec@1 21.875 (12.138)	Prec@5 54.688 (30.337)
Epoch: [0][10900/14090]	Time 0.768 (0.771)	Data 0.001 (0.001)	Loss 3.3751 (4.3528)	Prec@1 24.219 (12.148)	Prec@5 55.469 (30.355)
Epoch: [0][10910/14090]	Time 0.750 (0.771)	Data 0.001 (0.001)	Loss 3.2606 (4.3520)	Prec@1 31.250 (12.159)	Prec@5 54.688 (30.372)
Epoch: [0][10920/14090]	Time 0.842 (0.771)	Data 0.001 (0.001)	Loss 3.5016 (4.3512)	Prec@1 20.312 (12.169)	Prec@5 47.656 (30.389)
Epoch: [0][10930/14090]	Time 0.729 (0.771)	Data 0.001 (0.001)	Loss 3.5103 (4.3505)	Prec@1 22.656 (12.178)	Prec@5 52.344 (30.407)
Epoch: [0][10940/14090]	Time 0.748 (0.771)	Data 0.001 (0.001)	Loss 3.5502 (4.3497)	Prec@1 22.656 (12.187)	Prec@5 47.656 (30.424)
Epoch: [0][10950/14090]	Time 0.749 (0.771)	Data 0.001 (0.001)	Loss 3.4795 (4.3490)	Prec@1 23.438 (12.193)	Prec@5 50.000 (30.437)
Epoch: [0][10960/14090]	Time 0.731 (0.771)	Data 0.001 (0.001)	Loss 3.3937 (4.3482)	Prec@1 23.438 (12.201)	Prec@5 52.344 (30.453)
Epoch: [0][10970/14090]	Time 0.744 (0.771)	Data 0.001 (0.001)	Loss 3.3744 (4.3474)	Prec@1 21.875 (12.211)	Prec@5 51.562 (30.470)
Epoch: [0][10980/14090]	Time 0.754 (0.771)	Data 0.001 (0.001)	Loss 3.5161 (4.3467)	Prec@1 19.531 (12.219)	Prec@5 47.656 (30.487)
Epoch: [0][10990/14090]	Time 0.920 (0.771)	Data 0.001 (0.001)	Loss 3.5166 (4.3459)	Prec@1 23.438 (12.229)	Prec@5 46.094 (30.503)
Epoch: [0][11000/14090]	Time 0.755 (0.771)	Data 0.001 (0.001)	Loss 3.6549 (4.3451)	Prec@1 20.312 (12.238)	Prec@5 47.656 (30.519)
Epoch: [0][11010/14090]	Time 0.762 (0.771)	Data 0.001 (0.001)	Loss 3.4251 (4.3443)	Prec@1 25.000 (12.248)	Prec@5 53.906 (30.536)
Epoch: [0][11020/14090]	Time 0.757 (0.771)	Data 0.001 (0.001)	Loss 3.3153 (4.3434)	Prec@1 26.562 (12.259)	Prec@5 55.469 (30.556)
Epoch: [0][11030/14090]	Time 0.759 (0.771)	Data 0.001 (0.001)	Loss 3.3551 (4.3427)	Prec@1 27.344 (12.268)	Prec@5 51.562 (30.573)
Epoch: [0][11040/14090]	Time 0.741 (0.771)	Data 0.001 (0.001)	Loss 3.6209 (4.3418)	Prec@1 17.969 (12.279)	Prec@5 44.531 (30.590)
Epoch: [0][11050/14090]	Time 0.736 (0.771)	Data 0.001 (0.001)	Loss 3.7021 (4.3411)	Prec@1 18.750 (12.288)	Prec@5 45.312 (30.608)
Epoch: [0][11060/14090]	Time 0.890 (0.771)	Data 0.001 (0.001)	Loss 3.4675 (4.3402)	Prec@1 24.219 (12.298)	Prec@5 51.562 (30.626)
Epoch: [0][11070/14090]	Time 0.756 (0.771)	Data 0.001 (0.001)	Loss 3.2796 (4.3394)	Prec@1 21.875 (12.307)	Prec@5 57.031 (30.643)
Epoch: [0][11080/14090]	Time 0.743 (0.771)	Data 0.001 (0.001)	Loss 3.3312 (4.3386)	Prec@1 29.688 (12.317)	Prec@5 54.688 (30.660)
Epoch: [0][11090/14090]	Time 0.752 (0.771)	Data 0.001 (0.001)	Loss 3.5715 (4.3378)	Prec@1 17.969 (12.326)	Prec@5 50.000 (30.676)
Epoch: [0][11100/14090]	Time 0.738 (0.771)	Data 0.001 (0.001)	Loss 3.3787 (4.3370)	Prec@1 28.125 (12.334)	Prec@5 53.125 (30.693)
Epoch: [0][11110/14090]	Time 0.752 (0.771)	Data 0.001 (0.001)	Loss 3.5737 (4.3362)	Prec@1 20.312 (12.344)	Prec@5 44.531 (30.709)
Epoch: [0][11120/14090]	Time 0.757 (0.771)	Data 0.001 (0.001)	Loss 3.3347 (4.3355)	Prec@1 28.906 (12.352)	Prec@5 51.562 (30.726)
Epoch: [0][11130/14090]	Time 0.912 (0.771)	Data 0.001 (0.001)	Loss 3.6542 (4.3347)	Prec@1 16.406 (12.363)	Prec@5 45.312 (30.744)
Epoch: [0][11140/14090]	Time 0.734 (0.771)	Data 0.001 (0.001)	Loss 3.5278 (4.3339)	Prec@1 21.875 (12.372)	Prec@5 47.656 (30.762)
Epoch: [0][11150/14090]	Time 0.746 (0.771)	Data 0.001 (0.001)	Loss 3.6088 (4.3331)	Prec@1 21.094 (12.381)	Prec@5 43.750 (30.778)
Epoch: [0][11160/14090]	Time 0.788 (0.771)	Data 0.001 (0.001)	Loss 3.5722 (4.3323)	Prec@1 23.438 (12.392)	Prec@5 47.656 (30.795)
Epoch: [0][11170/14090]	Time 0.756 (0.771)	Data 0.001 (0.001)	Loss 3.5031 (4.3315)	Prec@1 23.438 (12.402)	Prec@5 47.656 (30.812)
Epoch: [0][11180/14090]	Time 0.740 (0.771)	Data 0.001 (0.001)	Loss 3.3664 (4.3307)	Prec@1 27.344 (12.411)	Prec@5 55.469 (30.831)
Epoch: [0][11190/14090]	Time 0.759 (0.771)	Data 0.001 (0.001)	Loss 3.6289 (4.3299)	Prec@1 16.406 (12.420)	Prec@5 43.750 (30.848)
Epoch: [0][11200/14090]	Time 0.875 (0.771)	Data 0.001 (0.001)	Loss 3.2646 (4.3292)	Prec@1 24.219 (12.429)	Prec@5 50.781 (30.864)
Epoch: [0][11210/14090]	Time 0.733 (0.771)	Data 0.001 (0.001)	Loss 3.3140 (4.3284)	Prec@1 28.906 (12.438)	Prec@5 55.469 (30.882)
Epoch: [0][11220/14090]	Time 0.761 (0.771)	Data 0.001 (0.001)	Loss 3.4926 (4.3275)	Prec@1 25.781 (12.449)	Prec@5 49.219 (30.900)
Epoch: [0][11230/14090]	Time 0.746 (0.771)	Data 0.001 (0.001)	Loss 3.4896 (4.3267)	Prec@1 21.094 (12.459)	Prec@5 52.344 (30.918)
Epoch: [0][11240/14090]	Time 0.753 (0.771)	Data 0.001 (0.001)	Loss 3.2183 (4.3259)	Prec@1 29.688 (12.470)	Prec@5 55.469 (30.934)
Epoch: [0][11250/14090]	Time 0.772 (0.771)	Data 0.001 (0.001)	Loss 3.7854 (4.3252)	Prec@1 19.531 (12.479)	Prec@5 43.750 (30.950)
Epoch: [0][11260/14090]	Time 0.739 (0.771)	Data 0.001 (0.001)	Loss 3.3634 (4.3244)	Prec@1 31.250 (12.487)	Prec@5 57.031 (30.967)
Epoch: [0][11270/14090]	Time 0.875 (0.771)	Data 0.001 (0.001)	Loss 3.4905 (4.3237)	Prec@1 21.875 (12.496)	Prec@5 49.219 (30.982)
Epoch: [0][11280/14090]	Time 0.734 (0.771)	Data 0.001 (0.001)	Loss 3.6278 (4.3230)	Prec@1 21.094 (12.503)	Prec@5 46.875 (30.997)
Epoch: [0][11290/14090]	Time 0.784 (0.771)	Data 0.001 (0.001)	Loss 3.4349 (4.3222)	Prec@1 25.781 (12.513)	Prec@5 50.000 (31.013)
Epoch: [0][11300/14090]	Time 0.751 (0.771)	Data 0.001 (0.001)	Loss 3.2985 (4.3214)	Prec@1 24.219 (12.524)	Prec@5 51.562 (31.032)
Epoch: [0][11310/14090]	Time 0.748 (0.771)	Data 0.001 (0.001)	Loss 3.3150 (4.3207)	Prec@1 22.656 (12.533)	Prec@5 53.125 (31.048)
Epoch: [0][11320/14090]	Time 0.779 (0.771)	Data 0.001 (0.001)	Loss 3.2850 (4.3199)	Prec@1 23.438 (12.543)	Prec@5 53.125 (31.066)
Epoch: [0][11330/14090]	Time 0.760 (0.771)	Data 0.001 (0.001)	Loss 3.2755 (4.3191)	Prec@1 25.000 (12.552)	Prec@5 55.469 (31.085)
Epoch: [0][11340/14090]	Time 0.877 (0.771)	Data 0.001 (0.001)	Loss 3.3661 (4.3183)	Prec@1 25.000 (12.561)	Prec@5 53.125 (31.101)
Epoch: [0][11350/14090]	Time 0.739 (0.771)	Data 0.001 (0.001)	Loss 3.3108 (4.3176)	Prec@1 23.438 (12.569)	Prec@5 52.344 (31.118)
Epoch: [0][11360/14090]	Time 0.762 (0.771)	Data 0.001 (0.001)	Loss 3.4334 (4.3168)	Prec@1 21.094 (12.579)	Prec@5 46.094 (31.134)
Epoch: [0][11370/14090]	Time 0.742 (0.771)	Data 0.001 (0.001)	Loss 3.4135 (4.3161)	Prec@1 21.875 (12.587)	Prec@5 47.656 (31.150)
Epoch: [0][11380/14090]	Time 0.735 (0.771)	Data 0.001 (0.001)	Loss 3.5089 (4.3153)	Prec@1 24.219 (12.596)	Prec@5 46.094 (31.167)
Epoch: [0][11390/14090]	Time 0.742 (0.771)	Data 0.001 (0.001)	Loss 3.5571 (4.3145)	Prec@1 17.188 (12.604)	Prec@5 50.000 (31.184)
Epoch: [0][11400/14090]	Time 0.765 (0.771)	Data 0.001 (0.001)	Loss 3.4784 (4.3137)	Prec@1 20.312 (12.613)	Prec@5 46.875 (31.200)
Epoch: [0][11410/14090]	Time 0.877 (0.771)	Data 0.001 (0.001)	Loss 3.8461 (4.3129)	Prec@1 17.188 (12.622)	Prec@5 37.500 (31.216)
Epoch: [0][11420/14090]	Time 0.737 (0.771)	Data 0.001 (0.001)	Loss 3.5751 (4.3123)	Prec@1 17.188 (12.629)	Prec@5 46.875 (31.232)
Epoch: [0][11430/14090]	Time 0.742 (0.771)	Data 0.001 (0.001)	Loss 3.6535 (4.3115)	Prec@1 14.062 (12.635)	Prec@5 42.188 (31.248)
Epoch: [0][11440/14090]	Time 0.768 (0.771)	Data 0.001 (0.001)	Loss 3.3744 (4.3108)	Prec@1 24.219 (12.643)	Prec@5 53.906 (31.265)
Epoch: [0][11450/14090]	Time 0.759 (0.771)	Data 0.001 (0.001)	Loss 3.2988 (4.3101)	Prec@1 23.438 (12.652)	Prec@5 53.906 (31.281)
Epoch: [0][11460/14090]	Time 0.751 (0.771)	Data 0.001 (0.001)	Loss 3.3732 (4.3093)	Prec@1 27.344 (12.661)	Prec@5 53.125 (31.297)
Epoch: [0][11470/14090]	Time 0.751 (0.771)	Data 0.001 (0.001)	Loss 3.5274 (4.3086)	Prec@1 17.969 (12.669)	Prec@5 46.875 (31.314)
Epoch: [0][11480/14090]	Time 0.869 (0.771)	Data 0.001 (0.001)	Loss 3.4583 (4.3078)	Prec@1 23.438 (12.678)	Prec@5 46.875 (31.330)
Epoch: [0][11490/14090]	Time 0.763 (0.771)	Data 0.001 (0.001)	Loss 3.3161 (4.3070)	Prec@1 23.438 (12.688)	Prec@5 52.344 (31.347)
Epoch: [0][11500/14090]	Time 0.774 (0.771)	Data 0.001 (0.001)	Loss 3.4789 (4.3064)	Prec@1 25.000 (12.696)	Prec@5 51.562 (31.361)
Epoch: [0][11510/14090]	Time 0.771 (0.771)	Data 0.001 (0.001)	Loss 3.3423 (4.3056)	Prec@1 23.438 (12.704)	Prec@5 50.781 (31.378)
Epoch: [0][11520/14090]	Time 0.744 (0.771)	Data 0.001 (0.001)	Loss 3.2295 (4.3048)	Prec@1 28.125 (12.713)	Prec@5 61.719 (31.395)
Epoch: [0][11530/14090]	Time 0.746 (0.771)	Data 0.001 (0.001)	Loss 3.5449 (4.3040)	Prec@1 20.312 (12.723)	Prec@5 50.000 (31.410)
Epoch: [0][11540/14090]	Time 0.742 (0.771)	Data 0.001 (0.001)	Loss 3.4063 (4.3033)	Prec@1 22.656 (12.733)	Prec@5 53.125 (31.428)
Epoch: [0][11550/14090]	Time 0.886 (0.771)	Data 0.001 (0.001)	Loss 3.3876 (4.3026)	Prec@1 24.219 (12.742)	Prec@5 50.781 (31.443)
Epoch: [0][11560/14090]	Time 0.741 (0.771)	Data 0.001 (0.001)	Loss 3.2675 (4.3018)	Prec@1 28.125 (12.752)	Prec@5 54.688 (31.461)
Epoch: [0][11570/14090]	Time 0.764 (0.771)	Data 0.001 (0.001)	Loss 3.0572 (4.3010)	Prec@1 32.812 (12.761)	Prec@5 60.156 (31.479)
Epoch: [0][11580/14090]	Time 0.758 (0.771)	Data 0.001 (0.001)	Loss 3.6204 (4.3003)	Prec@1 21.875 (12.771)	Prec@5 45.312 (31.496)
Epoch: [0][11590/14090]	Time 0.774 (0.771)	Data 0.001 (0.001)	Loss 3.5707 (4.2995)	Prec@1 20.312 (12.779)	Prec@5 48.438 (31.513)
Epoch: [0][11600/14090]	Time 0.754 (0.771)	Data 0.001 (0.001)	Loss 3.3631 (4.2988)	Prec@1 21.094 (12.787)	Prec@5 51.562 (31.528)
Epoch: [0][11610/14090]	Time 0.792 (0.771)	Data 0.001 (0.001)	Loss 3.7482 (4.2981)	Prec@1 21.094 (12.796)	Prec@5 47.656 (31.543)
Epoch: [0][11620/14090]	Time 0.845 (0.771)	Data 0.001 (0.001)	Loss 3.7385 (4.2973)	Prec@1 11.719 (12.805)	Prec@5 39.062 (31.559)
Epoch: [0][11630/14090]	Time 0.750 (0.771)	Data 0.001 (0.001)	Loss 3.9293 (4.2967)	Prec@1 17.188 (12.811)	Prec@5 35.156 (31.573)
Epoch: [0][11640/14090]	Time 0.745 (0.771)	Data 0.001 (0.001)	Loss 3.4985 (4.2959)	Prec@1 28.906 (12.820)	Prec@5 49.219 (31.591)
Epoch: [0][11650/14090]	Time 0.747 (0.771)	Data 0.001 (0.001)	Loss 3.2568 (4.2952)	Prec@1 25.781 (12.829)	Prec@5 52.344 (31.606)
Epoch: [0][11660/14090]	Time 0.747 (0.771)	Data 0.001 (0.001)	Loss 3.4802 (4.2945)	Prec@1 24.219 (12.839)	Prec@5 42.969 (31.621)
Epoch: [0][11670/14090]	Time 0.758 (0.771)	Data 0.001 (0.001)	Loss 3.5262 (4.2938)	Prec@1 23.438 (12.849)	Prec@5 51.562 (31.638)
Epoch: [0][11680/14090]	Time 0.734 (0.771)	Data 0.001 (0.001)	Loss 3.5062 (4.2930)	Prec@1 18.750 (12.857)	Prec@5 53.125 (31.654)
Epoch: [0][11690/14090]	Time 0.924 (0.771)	Data 0.001 (0.001)	Loss 3.3961 (4.2923)	Prec@1 31.250 (12.867)	Prec@5 55.469 (31.670)
Epoch: [0][11700/14090]	Time 0.743 (0.771)	Data 0.001 (0.001)	Loss 3.4271 (4.2914)	Prec@1 21.875 (12.877)	Prec@5 41.406 (31.688)
Epoch: [0][11710/14090]	Time 0.769 (0.771)	Data 0.001 (0.001)	Loss 3.4270 (4.2908)	Prec@1 24.219 (12.885)	Prec@5 50.781 (31.704)
Epoch: [0][11720/14090]	Time 0.776 (0.771)	Data 0.001 (0.001)	Loss 3.2223 (4.2900)	Prec@1 22.656 (12.894)	Prec@5 57.812 (31.720)
Epoch: [0][11730/14090]	Time 0.731 (0.771)	Data 0.001 (0.001)	Loss 3.1392 (4.2892)	Prec@1 30.469 (12.903)	Prec@5 54.688 (31.737)
Epoch: [0][11740/14090]	Time 0.763 (0.771)	Data 0.001 (0.001)	Loss 3.4191 (4.2885)	Prec@1 26.562 (12.912)	Prec@5 45.312 (31.752)
Epoch: [0][11750/14090]	Time 0.762 (0.771)	Data 0.001 (0.001)	Loss 3.2696 (4.2877)	Prec@1 25.000 (12.922)	Prec@5 57.031 (31.770)
Epoch: [0][11760/14090]	Time 0.850 (0.771)	Data 0.001 (0.001)	Loss 3.4322 (4.2870)	Prec@1 25.000 (12.930)	Prec@5 51.562 (31.785)
Epoch: [0][11770/14090]	Time 0.751 (0.771)	Data 0.001 (0.001)	Loss 3.7373 (4.2863)	Prec@1 17.188 (12.937)	Prec@5 42.969 (31.799)
Epoch: [0][11780/14090]	Time 0.752 (0.771)	Data 0.001 (0.001)	Loss 3.2121 (4.2855)	Prec@1 22.656 (12.948)	Prec@5 54.688 (31.817)
Epoch: [0][11790/14090]	Time 0.779 (0.771)	Data 0.001 (0.001)	Loss 3.4709 (4.2848)	Prec@1 23.438 (12.958)	Prec@5 47.656 (31.831)
Epoch: [0][11800/14090]	Time 0.734 (0.771)	Data 0.001 (0.001)	Loss 3.4406 (4.2842)	Prec@1 21.094 (12.965)	Prec@5 54.688 (31.846)
Epoch: [0][11810/14090]	Time 0.740 (0.771)	Data 0.001 (0.001)	Loss 3.5111 (4.2835)	Prec@1 23.438 (12.972)	Prec@5 50.000 (31.859)
Epoch: [0][11820/14090]	Time 0.752 (0.771)	Data 0.001 (0.001)	Loss 3.3675 (4.2827)	Prec@1 25.781 (12.982)	Prec@5 53.125 (31.877)
Epoch: [0][11830/14090]	Time 0.874 (0.771)	Data 0.001 (0.001)	Loss 3.4954 (4.2820)	Prec@1 22.656 (12.990)	Prec@5 50.781 (31.890)
Epoch: [0][11840/14090]	Time 0.732 (0.771)	Data 0.001 (0.001)	Loss 3.3150 (4.2813)	Prec@1 25.781 (12.999)	Prec@5 51.562 (31.906)
Epoch: [0][11850/14090]	Time 0.782 (0.771)	Data 0.001 (0.001)	Loss 3.7766 (4.2807)	Prec@1 17.969 (13.006)	Prec@5 46.094 (31.920)
Epoch: [0][11860/14090]	Time 0.781 (0.771)	Data 0.001 (0.001)	Loss 3.6346 (4.2800)	Prec@1 25.000 (13.015)	Prec@5 46.094 (31.936)
Epoch: [0][11870/14090]	Time 0.747 (0.771)	Data 0.001 (0.001)	Loss 3.4505 (4.2793)	Prec@1 26.562 (13.024)	Prec@5 50.000 (31.951)
Epoch: [0][11880/14090]	Time 0.731 (0.771)	Data 0.001 (0.001)	Loss 3.6054 (4.2786)	Prec@1 21.094 (13.033)	Prec@5 47.656 (31.967)
Epoch: [0][11890/14090]	Time 0.734 (0.771)	Data 0.001 (0.001)	Loss 3.4562 (4.2779)	Prec@1 21.875 (13.041)	Prec@5 49.219 (31.980)
Epoch: [0][11900/14090]	Time 0.892 (0.771)	Data 0.001 (0.001)	Loss 3.4045 (4.2772)	Prec@1 25.781 (13.050)	Prec@5 51.562 (31.996)
Epoch: [0][11910/14090]	Time 0.737 (0.771)	Data 0.001 (0.001)	Loss 3.3848 (4.2765)	Prec@1 25.000 (13.059)	Prec@5 53.906 (32.013)
Epoch: [0][11920/14090]	Time 0.744 (0.771)	Data 0.001 (0.001)	Loss 3.5046 (4.2758)	Prec@1 25.781 (13.068)	Prec@5 50.781 (32.028)
Epoch: [0][11930/14090]	Time 0.745 (0.771)	Data 0.001 (0.001)	Loss 3.7261 (4.2751)	Prec@1 22.656 (13.078)	Prec@5 45.312 (32.045)
Epoch: [0][11940/14090]	Time 0.754 (0.771)	Data 0.001 (0.001)	Loss 3.4725 (4.2743)	Prec@1 21.094 (13.087)	Prec@5 47.656 (32.061)
Epoch: [0][11950/14090]	Time 0.741 (0.771)	Data 0.001 (0.001)	Loss 3.3904 (4.2736)	Prec@1 29.688 (13.096)	Prec@5 52.344 (32.076)
Epoch: [0][11960/14090]	Time 0.779 (0.771)	Data 0.001 (0.001)	Loss 3.3629 (4.2729)	Prec@1 18.750 (13.103)	Prec@5 49.219 (32.092)
Epoch: [0][11970/14090]	Time 0.899 (0.771)	Data 0.001 (0.001)	Loss 3.4860 (4.2722)	Prec@1 19.531 (13.110)	Prec@5 54.688 (32.108)
Epoch: [0][11980/14090]	Time 0.738 (0.771)	Data 0.001 (0.001)	Loss 3.4241 (4.2715)	Prec@1 22.656 (13.117)	Prec@5 47.656 (32.123)
Epoch: [0][11990/14090]	Time 0.781 (0.771)	Data 0.001 (0.001)	Loss 3.3324 (4.2708)	Prec@1 21.875 (13.126)	Prec@5 53.906 (32.138)
Epoch: [0][12000/14090]	Time 0.790 (0.771)	Data 0.001 (0.001)	Loss 3.4920 (4.2701)	Prec@1 24.219 (13.134)	Prec@5 50.781 (32.153)
Epoch: [0][12010/14090]	Time 0.752 (0.771)	Data 0.001 (0.001)	Loss 3.4947 (4.2694)	Prec@1 20.312 (13.143)	Prec@5 48.438 (32.168)
Epoch: [0][12020/14090]	Time 0.742 (0.771)	Data 0.001 (0.001)	Loss 3.2899 (4.2687)	Prec@1 32.031 (13.152)	Prec@5 57.812 (32.182)
Epoch: [0][12030/14090]	Time 0.729 (0.771)	Data 0.001 (0.001)	Loss 3.1441 (4.2680)	Prec@1 28.125 (13.160)	Prec@5 58.594 (32.198)
Epoch: [0][12040/14090]	Time 0.903 (0.771)	Data 0.001 (0.001)	Loss 3.7313 (4.2673)	Prec@1 11.719 (13.167)	Prec@5 40.625 (32.211)
Epoch: [0][12050/14090]	Time 0.730 (0.771)	Data 0.001 (0.001)	Loss 3.3170 (4.2666)	Prec@1 27.344 (13.177)	Prec@5 55.469 (32.227)
Epoch: [0][12060/14090]	Time 0.765 (0.771)	Data 0.001 (0.001)	Loss 3.5459 (4.2659)	Prec@1 23.438 (13.188)	Prec@5 50.000 (32.243)
Epoch: [0][12070/14090]	Time 0.766 (0.771)	Data 0.001 (0.001)	Loss 3.4721 (4.2652)	Prec@1 25.000 (13.196)	Prec@5 52.344 (32.258)
Epoch: [0][12080/14090]	Time 0.746 (0.771)	Data 0.001 (0.001)	Loss 3.7839 (4.2646)	Prec@1 16.406 (13.203)	Prec@5 39.844 (32.272)
Epoch: [0][12090/14090]	Time 0.730 (0.771)	Data 0.001 (0.001)	Loss 3.5415 (4.2639)	Prec@1 24.219 (13.212)	Prec@5 50.000 (32.287)
Epoch: [0][12100/14090]	Time 0.729 (0.771)	Data 0.001 (0.001)	Loss 3.3600 (4.2632)	Prec@1 27.344 (13.221)	Prec@5 57.812 (32.303)
Epoch: [0][12110/14090]	Time 0.882 (0.771)	Data 0.001 (0.001)	Loss 3.3849 (4.2625)	Prec@1 24.219 (13.229)	Prec@5 51.562 (32.317)
Epoch: [0][12120/14090]	Time 0.764 (0.771)	Data 0.001 (0.001)	Loss 3.7154 (4.2618)	Prec@1 17.188 (13.238)	Prec@5 45.312 (32.333)
Epoch: [0][12130/14090]	Time 0.784 (0.771)	Data 0.001 (0.001)	Loss 3.7456 (4.2612)	Prec@1 16.406 (13.245)	Prec@5 39.062 (32.346)
Epoch: [0][12140/14090]	Time 0.773 (0.771)	Data 0.001 (0.001)	Loss 3.2239 (4.2605)	Prec@1 27.344 (13.252)	Prec@5 58.594 (32.360)
Epoch: [0][12150/14090]	Time 0.743 (0.771)	Data 0.001 (0.001)	Loss 3.7138 (4.2599)	Prec@1 17.188 (13.259)	Prec@5 38.281 (32.374)
Epoch: [0][12160/14090]	Time 0.770 (0.771)	Data 0.001 (0.001)	Loss 3.3310 (4.2592)	Prec@1 27.344 (13.269)	Prec@5 55.469 (32.390)
Epoch: [0][12170/14090]	Time 0.758 (0.771)	Data 0.001 (0.001)	Loss 3.3894 (4.2584)	Prec@1 24.219 (13.277)	Prec@5 50.781 (32.405)
Epoch: [0][12180/14090]	Time 0.903 (0.771)	Data 0.001 (0.001)	Loss 3.4709 (4.2577)	Prec@1 22.656 (13.286)	Prec@5 46.875 (32.421)
Epoch: [0][12190/14090]	Time 0.769 (0.771)	Data 0.001 (0.001)	Loss 3.3240 (4.2570)	Prec@1 24.219 (13.295)	Prec@5 52.344 (32.435)
Epoch: [0][12200/14090]	Time 0.731 (0.771)	Data 0.001 (0.001)	Loss 3.5482 (4.2563)	Prec@1 21.875 (13.304)	Prec@5 48.438 (32.450)
Epoch: [0][12210/14090]	Time 0.733 (0.771)	Data 0.001 (0.001)	Loss 3.4682 (4.2558)	Prec@1 21.094 (13.310)	Prec@5 48.438 (32.464)
Epoch: [0][12220/14090]	Time 0.749 (0.771)	Data 0.001 (0.001)	Loss 3.4721 (4.2551)	Prec@1 25.000 (13.319)	Prec@5 48.438 (32.478)
Epoch: [0][12230/14090]	Time 0.736 (0.771)	Data 0.001 (0.001)	Loss 3.4900 (4.2544)	Prec@1 20.312 (13.327)	Prec@5 47.656 (32.491)
Epoch: [0][12240/14090]	Time 0.757 (0.771)	Data 0.001 (0.001)	Loss 3.6229 (4.2537)	Prec@1 24.219 (13.336)	Prec@5 46.094 (32.506)
Epoch: [0][12250/14090]	Time 0.857 (0.771)	Data 0.001 (0.001)	Loss 3.2376 (4.2531)	Prec@1 27.344 (13.344)	Prec@5 58.594 (32.519)
Epoch: [0][12260/14090]	Time 0.734 (0.771)	Data 0.001 (0.001)	Loss 3.3122 (4.2524)	Prec@1 24.219 (13.354)	Prec@5 53.125 (32.536)
Epoch: [0][12270/14090]	Time 0.769 (0.771)	Data 0.001 (0.001)	Loss 3.3770 (4.2517)	Prec@1 25.781 (13.362)	Prec@5 52.344 (32.551)
Epoch: [0][12280/14090]	Time 0.745 (0.771)	Data 0.001 (0.001)	Loss 3.4818 (4.2511)	Prec@1 18.750 (13.369)	Prec@5 51.562 (32.565)
Epoch: [0][12290/14090]	Time 0.758 (0.771)	Data 0.001 (0.001)	Loss 3.3319 (4.2504)	Prec@1 23.438 (13.377)	Prec@5 47.656 (32.580)
Epoch: [0][12300/14090]	Time 0.762 (0.771)	Data 0.001 (0.001)	Loss 3.6643 (4.2497)	Prec@1 22.656 (13.386)	Prec@5 45.312 (32.594)
Epoch: [0][12310/14090]	Time 0.750 (0.771)	Data 0.001 (0.001)	Loss 3.6087 (4.2490)	Prec@1 18.750 (13.394)	Prec@5 48.438 (32.609)
Epoch: [0][12320/14090]	Time 0.824 (0.771)	Data 0.001 (0.001)	Loss 3.5106 (4.2484)	Prec@1 20.312 (13.402)	Prec@5 51.562 (32.623)
Epoch: [0][12330/14090]	Time 0.765 (0.771)	Data 0.001 (0.001)	Loss 3.6623 (4.2476)	Prec@1 23.438 (13.410)	Prec@5 50.781 (32.640)
Epoch: [0][12340/14090]	Time 0.756 (0.771)	Data 0.001 (0.001)	Loss 3.1891 (4.2469)	Prec@1 30.469 (13.419)	Prec@5 57.812 (32.656)
Epoch: [0][12350/14090]	Time 0.751 (0.771)	Data 0.001 (0.001)	Loss 3.3364 (4.2462)	Prec@1 25.781 (13.427)	Prec@5 51.562 (32.671)
Epoch: [0][12360/14090]	Time 0.757 (0.771)	Data 0.001 (0.001)	Loss 3.4220 (4.2455)	Prec@1 25.000 (13.435)	Prec@5 50.000 (32.687)
Epoch: [0][12370/14090]	Time 0.735 (0.771)	Data 0.001 (0.001)	Loss 3.4061 (4.2449)	Prec@1 23.438 (13.443)	Prec@5 49.219 (32.701)
Epoch: [0][12380/14090]	Time 0.743 (0.771)	Data 0.001 (0.001)	Loss 3.6273 (4.2442)	Prec@1 18.750 (13.450)	Prec@5 46.875 (32.717)
Epoch: [0][12390/14090]	Time 0.874 (0.771)	Data 0.001 (0.001)	Loss 3.1232 (4.2435)	Prec@1 27.344 (13.459)	Prec@5 60.938 (32.733)
Epoch: [0][12400/14090]	Time 0.779 (0.771)	Data 0.001 (0.001)	Loss 3.3711 (4.2428)	Prec@1 26.562 (13.467)	Prec@5 54.688 (32.747)
Epoch: [0][12410/14090]	Time 0.750 (0.771)	Data 0.001 (0.001)	Loss 3.6156 (4.2422)	Prec@1 21.875 (13.474)	Prec@5 46.094 (32.760)
Epoch: [0][12420/14090]	Time 0.744 (0.771)	Data 0.001 (0.001)	Loss 3.2694 (4.2415)	Prec@1 27.344 (13.484)	Prec@5 57.031 (32.776)
Epoch: [0][12430/14090]	Time 0.771 (0.771)	Data 0.001 (0.001)	Loss 2.9941 (4.2408)	Prec@1 29.688 (13.493)	Prec@5 60.938 (32.792)
Epoch: [0][12440/14090]	Time 0.760 (0.771)	Data 0.001 (0.001)	Loss 3.5077 (4.2401)	Prec@1 22.656 (13.502)	Prec@5 44.531 (32.806)
Epoch: [0][12450/14090]	Time 0.754 (0.771)	Data 0.001 (0.001)	Loss 3.7621 (4.2395)	Prec@1 23.438 (13.508)	Prec@5 46.094 (32.821)
Epoch: [0][12460/14090]	Time 0.862 (0.771)	Data 0.001 (0.001)	Loss 3.2156 (4.2388)	Prec@1 25.000 (13.517)	Prec@5 57.031 (32.836)
Epoch: [0][12470/14090]	Time 0.767 (0.771)	Data 0.001 (0.001)	Loss 3.3978 (4.2381)	Prec@1 22.656 (13.526)	Prec@5 47.656 (32.852)
Epoch: [0][12480/14090]	Time 0.754 (0.771)	Data 0.001 (0.001)	Loss 3.6253 (4.2375)	Prec@1 17.969 (13.532)	Prec@5 44.531 (32.864)
Epoch: [0][12490/14090]	Time 0.745 (0.771)	Data 0.001 (0.001)	Loss 3.3501 (4.2368)	Prec@1 21.875 (13.540)	Prec@5 53.906 (32.879)
Epoch: [0][12500/14090]	Time 0.742 (0.771)	Data 0.001 (0.001)	Loss 3.0678 (4.2362)	Prec@1 29.688 (13.548)	Prec@5 60.156 (32.893)
Epoch: [0][12510/14090]	Time 0.759 (0.771)	Data 0.001 (0.001)	Loss 3.6077 (4.2356)	Prec@1 21.094 (13.555)	Prec@5 50.000 (32.906)
Epoch: [0][12520/14090]	Time 0.768 (0.771)	Data 0.001 (0.001)	Loss 3.2069 (4.2349)	Prec@1 25.781 (13.563)	Prec@5 56.250 (32.920)
Epoch: [0][12530/14090]	Time 0.882 (0.771)	Data 0.001 (0.001)	Loss 3.4568 (4.2342)	Prec@1 25.000 (13.572)	Prec@5 54.688 (32.935)
Epoch: [0][12540/14090]	Time 0.737 (0.771)	Data 0.001 (0.001)	Loss 3.5914 (4.2336)	Prec@1 17.969 (13.580)	Prec@5 47.656 (32.949)
Epoch: [0][12550/14090]	Time 0.757 (0.771)	Data 0.001 (0.001)	Loss 3.1982 (4.2329)	Prec@1 30.469 (13.588)	Prec@5 57.031 (32.964)
Epoch: [0][12560/14090]	Time 0.758 (0.771)	Data 0.001 (0.001)	Loss 3.5013 (4.2323)	Prec@1 20.312 (13.595)	Prec@5 48.438 (32.978)
Epoch: [0][12570/14090]	Time 0.729 (0.771)	Data 0.001 (0.001)	Loss 3.4184 (4.2317)	Prec@1 22.656 (13.603)	Prec@5 50.781 (32.992)
Epoch: [0][12580/14090]	Time 0.742 (0.771)	Data 0.001 (0.001)	Loss 3.3970 (4.2310)	Prec@1 22.656 (13.611)	Prec@5 49.219 (33.007)
Epoch: [0][12590/14090]	Time 0.767 (0.771)	Data 0.001 (0.001)	Loss 3.2730 (4.2303)	Prec@1 25.000 (13.618)	Prec@5 54.688 (33.022)
Epoch: [0][12600/14090]	Time 0.908 (0.771)	Data 0.001 (0.001)	Loss 3.2630 (4.2296)	Prec@1 25.000 (13.628)	Prec@5 50.781 (33.038)
Epoch: [0][12610/14090]	Time 0.758 (0.771)	Data 0.001 (0.001)	Loss 3.5008 (4.2289)	Prec@1 32.031 (13.637)	Prec@5 50.000 (33.052)
Epoch: [0][12620/14090]	Time 0.752 (0.771)	Data 0.001 (0.001)	Loss 3.0444 (4.2282)	Prec@1 35.156 (13.646)	Prec@5 60.938 (33.067)
Epoch: [0][12630/14090]	Time 0.743 (0.771)	Data 0.001 (0.001)	Loss 3.2635 (4.2275)	Prec@1 24.219 (13.654)	Prec@5 57.031 (33.082)
Epoch: [0][12640/14090]	Time 0.769 (0.771)	Data 0.001 (0.001)	Loss 3.4183 (4.2269)	Prec@1 17.969 (13.661)	Prec@5 49.219 (33.094)
Epoch: [0][12650/14090]	Time 0.741 (0.771)	Data 0.001 (0.001)	Loss 3.5928 (4.2263)	Prec@1 21.094 (13.669)	Prec@5 50.000 (33.107)
Epoch: [0][12660/14090]	Time 0.753 (0.771)	Data 0.001 (0.001)	Loss 3.3797 (4.2257)	Prec@1 25.781 (13.676)	Prec@5 55.469 (33.121)
Epoch: [0][12670/14090]	Time 0.866 (0.771)	Data 0.001 (0.001)	Loss 3.6460 (4.2250)	Prec@1 21.094 (13.684)	Prec@5 51.562 (33.134)
Epoch: [0][12680/14090]	Time 0.781 (0.771)	Data 0.001 (0.001)	Loss 3.6445 (4.2245)	Prec@1 18.750 (13.690)	Prec@5 42.188 (33.145)
Epoch: [0][12690/14090]	Time 0.730 (0.771)	Data 0.001 (0.001)	Loss 3.5637 (4.2239)	Prec@1 21.094 (13.697)	Prec@5 53.125 (33.159)
Epoch: [0][12700/14090]	Time 0.738 (0.771)	Data 0.001 (0.001)	Loss 3.3006 (4.2232)	Prec@1 23.438 (13.706)	Prec@5 53.906 (33.174)
Epoch: [0][12710/14090]	Time 0.737 (0.771)	Data 0.001 (0.001)	Loss 3.4435 (4.2226)	Prec@1 18.750 (13.713)	Prec@5 48.438 (33.189)
Epoch: [0][12720/14090]	Time 0.744 (0.771)	Data 0.001 (0.001)	Loss 3.2929 (4.2220)	Prec@1 25.000 (13.721)	Prec@5 53.125 (33.202)
Epoch: [0][12730/14090]	Time 0.755 (0.771)	Data 0.001 (0.001)	Loss 3.5080 (4.2213)	Prec@1 25.000 (13.729)	Prec@5 52.344 (33.218)
Epoch: [0][12740/14090]	Time 0.873 (0.771)	Data 0.001 (0.001)	Loss 3.2886 (4.2207)	Prec@1 29.688 (13.737)	Prec@5 59.375 (33.232)
Epoch: [0][12750/14090]	Time 0.728 (0.771)	Data 0.001 (0.001)	Loss 3.4305 (4.2200)	Prec@1 23.438 (13.744)	Prec@5 51.562 (33.245)
Epoch: [0][12760/14090]	Time 0.754 (0.771)	Data 0.001 (0.001)	Loss 3.5055 (4.2194)	Prec@1 21.875 (13.751)	Prec@5 49.219 (33.258)
Epoch: [0][12770/14090]	Time 0.753 (0.771)	Data 0.001 (0.001)	Loss 3.2369 (4.2188)	Prec@1 27.344 (13.759)	Prec@5 55.469 (33.272)
Epoch: [0][12780/14090]	Time 0.750 (0.771)	Data 0.001 (0.001)	Loss 3.2650 (4.2181)	Prec@1 25.781 (13.768)	Prec@5 52.344 (33.285)
Epoch: [0][12790/14090]	Time 0.781 (0.771)	Data 0.001 (0.001)	Loss 3.4842 (4.2175)	Prec@1 21.875 (13.775)	Prec@5 44.531 (33.297)
Epoch: [0][12800/14090]	Time 0.758 (0.771)	Data 0.001 (0.001)	Loss 3.4821 (4.2169)	Prec@1 19.531 (13.782)	Prec@5 49.219 (33.309)
Epoch: [0][12810/14090]	Time 0.906 (0.771)	Data 0.001 (0.001)	Loss 3.2658 (4.2162)	Prec@1 28.906 (13.792)	Prec@5 53.906 (33.324)
Epoch: [0][12820/14090]	Time 0.745 (0.771)	Data 0.001 (0.001)	Loss 3.4323 (4.2155)	Prec@1 23.438 (13.800)	Prec@5 51.562 (33.338)
Epoch: [0][12830/14090]	Time 0.720 (0.771)	Data 0.001 (0.001)	Loss 2.9903 (4.2148)	Prec@1 28.906 (13.808)	Prec@5 53.125 (33.354)
Epoch: [0][12840/14090]	Time 0.754 (0.771)	Data 0.001 (0.001)	Loss 3.3869 (4.2142)	Prec@1 22.656 (13.815)	Prec@5 49.219 (33.367)
Epoch: [0][12850/14090]	Time 0.763 (0.771)	Data 0.002 (0.001)	Loss 3.4018 (4.2135)	Prec@1 17.969 (13.822)	Prec@5 52.344 (33.382)
Epoch: [0][12860/14090]	Time 0.749 (0.771)	Data 0.001 (0.001)	Loss 3.1731 (4.2129)	Prec@1 28.125 (13.830)	Prec@5 55.469 (33.396)
Epoch: [0][12870/14090]	Time 0.749 (0.771)	Data 0.001 (0.001)	Loss 3.1652 (4.2122)	Prec@1 25.781 (13.838)	Prec@5 59.375 (33.412)
Epoch: [0][12880/14090]	Time 0.888 (0.771)	Data 0.001 (0.001)	Loss 3.3919 (4.2116)	Prec@1 17.188 (13.845)	Prec@5 43.750 (33.425)
Epoch: [0][12890/14090]	Time 0.747 (0.771)	Data 0.001 (0.001)	Loss 3.3444 (4.2109)	Prec@1 19.531 (13.853)	Prec@5 56.250 (33.440)
Epoch: [0][12900/14090]	Time 0.736 (0.771)	Data 0.001 (0.001)	Loss 3.3887 (4.2104)	Prec@1 30.469 (13.860)	Prec@5 54.688 (33.453)
Epoch: [0][12910/14090]	Time 0.758 (0.771)	Data 0.001 (0.001)	Loss 3.4162 (4.2097)	Prec@1 21.875 (13.867)	Prec@5 50.000 (33.469)
Epoch: [0][12920/14090]	Time 0.758 (0.771)	Data 0.001 (0.001)	Loss 3.2875 (4.2091)	Prec@1 29.688 (13.875)	Prec@5 56.250 (33.482)
Epoch: [0][12930/14090]	Time 0.741 (0.771)	Data 0.001 (0.001)	Loss 3.2459 (4.2085)	Prec@1 31.250 (13.882)	Prec@5 52.344 (33.496)
Epoch: [0][12940/14090]	Time 0.755 (0.771)	Data 0.001 (0.001)	Loss 3.5209 (4.2079)	Prec@1 21.875 (13.889)	Prec@5 50.000 (33.509)
Epoch: [0][12950/14090]	Time 0.880 (0.771)	Data 0.001 (0.001)	Loss 3.4575 (4.2072)	Prec@1 24.219 (13.897)	Prec@5 48.438 (33.523)
Epoch: [0][12960/14090]	Time 0.750 (0.771)	Data 0.001 (0.001)	Loss 3.3447 (4.2065)	Prec@1 30.469 (13.905)	Prec@5 53.906 (33.539)
Epoch: [0][12970/14090]	Time 0.757 (0.771)	Data 0.001 (0.001)	Loss 3.3622 (4.2059)	Prec@1 24.219 (13.912)	Prec@5 50.000 (33.551)
Epoch: [0][12980/14090]	Time 0.745 (0.771)	Data 0.001 (0.001)	Loss 3.1889 (4.2052)	Prec@1 28.125 (13.920)	Prec@5 56.250 (33.567)
Epoch: [0][12990/14090]	Time 0.745 (0.771)	Data 0.001 (0.001)	Loss 3.3853 (4.2046)	Prec@1 25.000 (13.928)	Prec@5 51.562 (33.580)
Epoch: [0][13000/14090]	Time 0.763 (0.771)	Data 0.001 (0.001)	Loss 3.4561 (4.2040)	Prec@1 23.438 (13.937)	Prec@5 47.656 (33.593)
Epoch: [0][13010/14090]	Time 0.731 (0.771)	Data 0.001 (0.001)	Loss 3.2772 (4.2033)	Prec@1 25.000 (13.946)	Prec@5 57.812 (33.607)
Epoch: [0][13020/14090]	Time 0.878 (0.771)	Data 0.001 (0.001)	Loss 3.3316 (4.2027)	Prec@1 24.219 (13.953)	Prec@5 51.562 (33.619)
Epoch: [0][13030/14090]	Time 0.759 (0.771)	Data 0.001 (0.001)	Loss 3.2550 (4.2021)	Prec@1 24.219 (13.960)	Prec@5 50.781 (33.634)
Epoch: [0][13040/14090]	Time 0.775 (0.771)	Data 0.001 (0.001)	Loss 3.1840 (4.2015)	Prec@1 28.125 (13.967)	Prec@5 57.031 (33.648)
Epoch: [0][13050/14090]	Time 0.753 (0.771)	Data 0.001 (0.001)	Loss 3.3988 (4.2009)	Prec@1 21.875 (13.975)	Prec@5 51.562 (33.663)
Epoch: [0][13060/14090]	Time 0.755 (0.771)	Data 0.001 (0.001)	Loss 3.3412 (4.2003)	Prec@1 25.781 (13.983)	Prec@5 53.125 (33.676)
Epoch: [0][13070/14090]	Time 0.740 (0.771)	Data 0.001 (0.001)	Loss 3.0715 (4.1996)	Prec@1 27.344 (13.992)	Prec@5 58.594 (33.691)
Epoch: [0][13080/14090]	Time 0.779 (0.771)	Data 0.001 (0.001)	Loss 3.4293 (4.1990)	Prec@1 28.906 (14.000)	Prec@5 50.781 (33.705)
Epoch: [0][13090/14090]	Time 0.890 (0.771)	Data 0.001 (0.001)	Loss 3.1054 (4.1983)	Prec@1 24.219 (14.008)	Prec@5 53.125 (33.719)
Epoch: [0][13100/14090]	Time 0.752 (0.771)	Data 0.001 (0.001)	Loss 3.5042 (4.1978)	Prec@1 21.094 (14.015)	Prec@5 50.781 (33.732)
Epoch: [0][13110/14090]	Time 0.766 (0.771)	Data 0.001 (0.001)	Loss 3.2361 (4.1971)	Prec@1 28.906 (14.023)	Prec@5 53.125 (33.747)
Epoch: [0][13120/14090]	Time 0.782 (0.771)	Data 0.001 (0.001)	Loss 3.2088 (4.1965)	Prec@1 24.219 (14.030)	Prec@5 54.688 (33.761)
Epoch: [0][13130/14090]	Time 0.747 (0.771)	Data 0.001 (0.001)	Loss 3.3648 (4.1958)	Prec@1 28.125 (14.039)	Prec@5 51.562 (33.775)
Epoch: [0][13140/14090]	Time 0.729 (0.771)	Data 0.001 (0.001)	Loss 3.3637 (4.1952)	Prec@1 20.312 (14.047)	Prec@5 46.875 (33.787)
Epoch: [0][13150/14090]	Time 0.730 (0.771)	Data 0.001 (0.001)	Loss 3.4189 (4.1945)	Prec@1 21.875 (14.057)	Prec@5 50.000 (33.801)
Epoch: [0][13160/14090]	Time 0.883 (0.771)	Data 0.002 (0.001)	Loss 3.3616 (4.1939)	Prec@1 28.125 (14.065)	Prec@5 49.219 (33.814)
Epoch: [0][13170/14090]	Time 0.725 (0.771)	Data 0.001 (0.001)	Loss 3.1084 (4.1933)	Prec@1 26.562 (14.072)	Prec@5 53.125 (33.827)
Epoch: [0][13180/14090]	Time 0.748 (0.771)	Data 0.002 (0.001)	Loss 3.3453 (4.1927)	Prec@1 26.562 (14.080)	Prec@5 56.250 (33.841)
Epoch: [0][13190/14090]	Time 0.736 (0.771)	Data 0.001 (0.001)	Loss 3.5048 (4.1920)	Prec@1 23.438 (14.088)	Prec@5 45.312 (33.855)
Epoch: [0][13200/14090]	Time 0.767 (0.771)	Data 0.001 (0.001)	Loss 3.3077 (4.1915)	Prec@1 30.469 (14.095)	Prec@5 53.906 (33.867)
Epoch: [0][13210/14090]	Time 0.739 (0.771)	Data 0.001 (0.001)	Loss 3.7590 (4.1908)	Prec@1 15.625 (14.103)	Prec@5 43.750 (33.880)
Epoch: [0][13220/14090]	Time 0.757 (0.771)	Data 0.001 (0.001)	Loss 3.4124 (4.1902)	Prec@1 21.875 (14.111)	Prec@5 50.781 (33.895)
Epoch: [0][13230/14090]	Time 0.859 (0.771)	Data 0.001 (0.001)	Loss 3.2915 (4.1895)	Prec@1 25.781 (14.120)	Prec@5 53.906 (33.909)
Epoch: [0][13240/14090]	Time 0.750 (0.771)	Data 0.001 (0.001)	Loss 3.4527 (4.1890)	Prec@1 25.000 (14.127)	Prec@5 47.656 (33.921)
Epoch: [0][13250/14090]	Time 0.776 (0.771)	Data 0.001 (0.001)	Loss 3.4178 (4.1884)	Prec@1 21.875 (14.132)	Prec@5 53.906 (33.934)
Epoch: [0][13260/14090]	Time 0.739 (0.771)	Data 0.001 (0.001)	Loss 3.4664 (4.1878)	Prec@1 22.656 (14.139)	Prec@5 48.438 (33.947)
Epoch: [0][13270/14090]	Time 0.745 (0.771)	Data 0.001 (0.001)	Loss 3.1157 (4.1871)	Prec@1 29.688 (14.146)	Prec@5 55.469 (33.961)
Epoch: [0][13280/14090]	Time 0.758 (0.771)	Data 0.001 (0.001)	Loss 3.3870 (4.1866)	Prec@1 22.656 (14.154)	Prec@5 52.344 (33.973)
Epoch: [0][13290/14090]	Time 0.736 (0.771)	Data 0.001 (0.001)	Loss 3.1939 (4.1860)	Prec@1 27.344 (14.161)	Prec@5 53.125 (33.985)
Epoch: [0][13300/14090]	Time 0.898 (0.771)	Data 0.001 (0.001)	Loss 3.3150 (4.1853)	Prec@1 20.312 (14.170)	Prec@5 52.344 (34.000)
Epoch: [0][13310/14090]	Time 0.751 (0.771)	Data 0.001 (0.001)	Loss 3.4074 (4.1847)	Prec@1 28.906 (14.178)	Prec@5 49.219 (34.014)
Epoch: [0][13320/14090]	Time 0.755 (0.771)	Data 0.001 (0.001)	Loss 3.5336 (4.1841)	Prec@1 23.438 (14.185)	Prec@5 51.562 (34.026)
Epoch: [0][13330/14090]	Time 0.767 (0.771)	Data 0.001 (0.001)	Loss 3.2051 (4.1835)	Prec@1 25.781 (14.193)	Prec@5 57.812 (34.039)
Epoch: [0][13340/14090]	Time 0.765 (0.771)	Data 0.001 (0.001)	Loss 3.2439 (4.1829)	Prec@1 24.219 (14.200)	Prec@5 52.344 (34.051)
Epoch: [0][13350/14090]	Time 0.762 (0.771)	Data 0.001 (0.001)	Loss 3.1769 (4.1822)	Prec@1 26.562 (14.209)	Prec@5 57.031 (34.067)
Epoch: [0][13360/14090]	Time 0.756 (0.771)	Data 0.002 (0.001)	Loss 3.0612 (4.1816)	Prec@1 28.125 (14.217)	Prec@5 57.031 (34.081)
Epoch: [0][13370/14090]	Time 0.868 (0.771)	Data 0.001 (0.001)	Loss 3.2187 (4.1809)	Prec@1 25.000 (14.226)	Prec@5 54.688 (34.095)
Epoch: [0][13380/14090]	Time 0.771 (0.771)	Data 0.001 (0.001)	Loss 3.4744 (4.1803)	Prec@1 22.656 (14.233)	Prec@5 47.656 (34.107)
Epoch: [0][13390/14090]	Time 0.764 (0.771)	Data 0.001 (0.001)	Loss 3.0318 (4.1797)	Prec@1 28.125 (14.241)	Prec@5 60.156 (34.121)
Epoch: [0][13400/14090]	Time 0.748 (0.771)	Data 0.001 (0.001)	Loss 3.2814 (4.1791)	Prec@1 25.781 (14.248)	Prec@5 54.688 (34.133)
Epoch: [0][13410/14090]	Time 0.750 (0.771)	Data 0.001 (0.001)	Loss 3.3307 (4.1785)	Prec@1 21.094 (14.255)	Prec@5 53.906 (34.146)
Epoch: [0][13420/14090]	Time 0.738 (0.771)	Data 0.001 (0.001)	Loss 3.2869 (4.1780)	Prec@1 26.562 (14.261)	Prec@5 54.688 (34.158)
Epoch: [0][13430/14090]	Time 0.734 (0.771)	Data 0.001 (0.001)	Loss 3.2997 (4.1773)	Prec@1 21.875 (14.270)	Prec@5 56.250 (34.172)
Epoch: [0][13440/14090]	Time 0.903 (0.771)	Data 0.001 (0.001)	Loss 3.3679 (4.1767)	Prec@1 21.875 (14.277)	Prec@5 54.688 (34.185)
Epoch: [0][13450/14090]	Time 0.760 (0.771)	Data 0.001 (0.001)	Loss 3.2837 (4.1761)	Prec@1 27.344 (14.285)	Prec@5 53.125 (34.198)
Epoch: [0][13460/14090]	Time 0.763 (0.771)	Data 0.001 (0.001)	Loss 3.4330 (4.1754)	Prec@1 22.656 (14.293)	Prec@5 50.000 (34.212)
Epoch: [0][13470/14090]	Time 0.747 (0.771)	Data 0.001 (0.001)	Loss 3.2798 (4.1748)	Prec@1 20.312 (14.300)	Prec@5 57.812 (34.227)
Epoch: [0][13480/14090]	Time 0.743 (0.771)	Data 0.001 (0.001)	Loss 3.2283 (4.1742)	Prec@1 25.000 (14.307)	Prec@5 59.375 (34.240)
Epoch: [0][13490/14090]	Time 0.794 (0.771)	Data 0.001 (0.001)	Loss 3.0291 (4.1735)	Prec@1 28.125 (14.315)	Prec@5 57.031 (34.253)
Epoch: [0][13500/14090]	Time 0.759 (0.771)	Data 0.001 (0.001)	Loss 3.3653 (4.1729)	Prec@1 25.000 (14.323)	Prec@5 56.250 (34.267)
Epoch: [0][13510/14090]	Time 0.842 (0.771)	Data 0.001 (0.001)	Loss 3.4742 (4.1723)	Prec@1 24.219 (14.331)	Prec@5 53.125 (34.281)
Epoch: [0][13520/14090]	Time 0.756 (0.771)	Data 0.001 (0.001)	Loss 3.3917 (4.1717)	Prec@1 26.562 (14.338)	Prec@5 54.688 (34.294)
Epoch: [0][13530/14090]	Time 0.789 (0.771)	Data 0.001 (0.001)	Loss 3.3661 (4.1710)	Prec@1 21.875 (14.346)	Prec@5 51.562 (34.307)
Epoch: [0][13540/14090]	Time 0.782 (0.771)	Data 0.001 (0.001)	Loss 3.2463 (4.1704)	Prec@1 29.688 (14.353)	Prec@5 51.562 (34.321)
Epoch: [0][13550/14090]	Time 0.724 (0.771)	Data 0.001 (0.001)	Loss 3.5000 (4.1698)	Prec@1 25.000 (14.361)	Prec@5 53.125 (34.333)
Epoch: [0][13560/14090]	Time 0.749 (0.771)	Data 0.001 (0.001)	Loss 3.2627 (4.1692)	Prec@1 20.312 (14.368)	Prec@5 51.562 (34.347)
Epoch: [0][13570/14090]	Time 0.730 (0.771)	Data 0.001 (0.001)	Loss 3.2516 (4.1686)	Prec@1 20.312 (14.376)	Prec@5 56.250 (34.361)
Epoch: [0][13580/14090]	Time 0.881 (0.771)	Data 0.001 (0.001)	Loss 3.2969 (4.1679)	Prec@1 23.438 (14.384)	Prec@5 51.562 (34.374)
Epoch: [0][13590/14090]	Time 0.753 (0.771)	Data 0.001 (0.001)	Loss 3.2532 (4.1673)	Prec@1 27.344 (14.392)	Prec@5 53.125 (34.388)
Epoch: [0][13600/14090]	Time 0.734 (0.771)	Data 0.001 (0.001)	Loss 3.2405 (4.1667)	Prec@1 24.219 (14.399)	Prec@5 55.469 (34.402)
Epoch: [0][13610/14090]	Time 0.749 (0.771)	Data 0.001 (0.001)	Loss 3.6861 (4.1662)	Prec@1 18.750 (14.405)	Prec@5 46.094 (34.414)
Epoch: [0][13620/14090]	Time 0.763 (0.771)	Data 0.001 (0.001)	Loss 3.2354 (4.1656)	Prec@1 28.906 (14.413)	Prec@5 48.438 (34.427)
Epoch: [0][13630/14090]	Time 0.758 (0.771)	Data 0.001 (0.001)	Loss 3.4452 (4.1649)	Prec@1 20.312 (14.420)	Prec@5 52.344 (34.441)
Epoch: [0][13640/14090]	Time 0.766 (0.771)	Data 0.001 (0.001)	Loss 3.4676 (4.1644)	Prec@1 21.094 (14.427)	Prec@5 49.219 (34.453)
Epoch: [0][13650/14090]	Time 0.907 (0.771)	Data 0.001 (0.001)	Loss 3.5159 (4.1638)	Prec@1 21.875 (14.435)	Prec@5 44.531 (34.466)
Epoch: [0][13660/14090]	Time 0.748 (0.771)	Data 0.001 (0.001)	Loss 3.4627 (4.1633)	Prec@1 21.875 (14.440)	Prec@5 47.656 (34.477)
Epoch: [0][13670/14090]	Time 0.765 (0.771)	Data 0.001 (0.001)	Loss 3.3512 (4.1627)	Prec@1 19.531 (14.448)	Prec@5 53.125 (34.490)
Epoch: [0][13680/14090]	Time 0.744 (0.771)	Data 0.001 (0.001)	Loss 3.4989 (4.1622)	Prec@1 23.438 (14.455)	Prec@5 50.000 (34.501)
Epoch: [0][13690/14090]	Time 0.759 (0.771)	Data 0.001 (0.001)	Loss 3.0932 (4.1615)	Prec@1 30.469 (14.462)	Prec@5 61.719 (34.516)
Epoch: [0][13700/14090]	Time 0.747 (0.771)	Data 0.001 (0.001)	Loss 3.1112 (4.1609)	Prec@1 25.000 (14.470)	Prec@5 53.906 (34.528)
Epoch: [0][13710/14090]	Time 0.745 (0.771)	Data 0.001 (0.001)	Loss 3.3704 (4.1603)	Prec@1 29.688 (14.479)	Prec@5 52.344 (34.543)
Epoch: [0][13720/14090]	Time 0.905 (0.771)	Data 0.001 (0.001)	Loss 3.4196 (4.1596)	Prec@1 18.750 (14.486)	Prec@5 51.562 (34.556)
Epoch: [0][13730/14090]	Time 0.734 (0.771)	Data 0.001 (0.001)	Loss 3.2912 (4.1590)	Prec@1 22.656 (14.494)	Prec@5 55.469 (34.569)
Epoch: [0][13740/14090]	Time 0.737 (0.771)	Data 0.001 (0.001)	Loss 3.2801 (4.1584)	Prec@1 28.906 (14.499)	Prec@5 52.344 (34.581)
Epoch: [0][13750/14090]	Time 0.771 (0.771)	Data 0.001 (0.001)	Loss 3.3703 (4.1579)	Prec@1 23.438 (14.506)	Prec@5 49.219 (34.594)
Epoch: [0][13760/14090]	Time 0.745 (0.771)	Data 0.001 (0.001)	Loss 3.6191 (4.1574)	Prec@1 20.312 (14.512)	Prec@5 46.094 (34.605)
Epoch: [0][13770/14090]	Time 0.739 (0.771)	Data 0.001 (0.001)	Loss 3.3670 (4.1567)	Prec@1 19.531 (14.518)	Prec@5 50.000 (34.618)
Epoch: [0][13780/14090]	Time 0.756 (0.771)	Data 0.001 (0.001)	Loss 3.1654 (4.1562)	Prec@1 30.469 (14.527)	Prec@5 57.031 (34.630)
Epoch: [0][13790/14090]	Time 0.865 (0.771)	Data 0.001 (0.001)	Loss 3.2688 (4.1556)	Prec@1 27.344 (14.533)	Prec@5 50.781 (34.643)
Epoch: [0][13800/14090]	Time 0.759 (0.771)	Data 0.001 (0.001)	Loss 3.3741 (4.1550)	Prec@1 21.094 (14.540)	Prec@5 46.875 (34.655)
Epoch: [0][13810/14090]	Time 0.764 (0.771)	Data 0.001 (0.001)	Loss 3.1387 (4.1545)	Prec@1 33.594 (14.549)	Prec@5 58.594 (34.668)
Epoch: [0][13820/14090]	Time 0.728 (0.771)	Data 0.001 (0.001)	Loss 3.2245 (4.1538)	Prec@1 27.344 (14.556)	Prec@5 54.688 (34.681)
Epoch: [0][13830/14090]	Time 0.741 (0.771)	Data 0.001 (0.001)	Loss 3.2399 (4.1532)	Prec@1 25.000 (14.564)	Prec@5 56.250 (34.693)
Epoch: [0][13840/14090]	Time 0.765 (0.771)	Data 0.001 (0.001)	Loss 3.4570 (4.1527)	Prec@1 19.531 (14.571)	Prec@5 50.781 (34.706)
Epoch: [0][13850/14090]	Time 0.779 (0.771)	Data 0.001 (0.001)	Loss 3.1168 (4.1521)	Prec@1 21.875 (14.579)	Prec@5 56.250 (34.719)
Epoch: [0][13860/14090]	Time 0.857 (0.771)	Data 0.001 (0.001)	Loss 3.3627 (4.1515)	Prec@1 19.531 (14.585)	Prec@5 53.125 (34.732)
Epoch: [0][13870/14090]	Time 0.751 (0.771)	Data 0.001 (0.001)	Loss 3.2788 (4.1510)	Prec@1 30.469 (14.592)	Prec@5 48.438 (34.743)
Epoch: [0][13880/14090]	Time 0.769 (0.771)	Data 0.002 (0.001)	Loss 3.0299 (4.1504)	Prec@1 28.906 (14.600)	Prec@5 61.719 (34.757)
Epoch: [0][13890/14090]	Time 0.749 (0.771)	Data 0.001 (0.001)	Loss 3.3472 (4.1498)	Prec@1 21.094 (14.606)	Prec@5 51.562 (34.769)
Epoch: [0][13900/14090]	Time 0.734 (0.771)	Data 0.001 (0.001)	Loss 3.0960 (4.1492)	Prec@1 24.219 (14.614)	Prec@5 60.156 (34.783)
Epoch: [0][13910/14090]	Time 0.748 (0.771)	Data 0.001 (0.001)	Loss 3.4729 (4.1486)	Prec@1 24.219 (14.622)	Prec@5 50.000 (34.797)
Epoch: [0][13920/14090]	Time 0.758 (0.771)	Data 0.001 (0.001)	Loss 3.4338 (4.1480)	Prec@1 17.969 (14.628)	Prec@5 46.875 (34.808)
Epoch: [0][13930/14090]	Time 0.890 (0.771)	Data 0.001 (0.001)	Loss 3.5647 (4.1474)	Prec@1 21.094 (14.636)	Prec@5 52.344 (34.822)
Epoch: [0][13940/14090]	Time 0.757 (0.771)	Data 0.001 (0.001)	Loss 3.6063 (4.1468)	Prec@1 18.750 (14.643)	Prec@5 49.219 (34.836)
Epoch: [0][13950/14090]	Time 0.762 (0.771)	Data 0.001 (0.001)	Loss 3.2230 (4.1462)	Prec@1 34.375 (14.651)	Prec@5 53.906 (34.849)
Epoch: [0][13960/14090]	Time 0.758 (0.771)	Data 0.001 (0.001)	Loss 3.4312 (4.1457)	Prec@1 21.875 (14.658)	Prec@5 47.656 (34.860)
Epoch: [0][13970/14090]	Time 0.757 (0.771)	Data 0.001 (0.001)	Loss 3.4830 (4.1451)	Prec@1 24.219 (14.665)	Prec@5 50.781 (34.873)
Epoch: [0][13980/14090]	Time 0.764 (0.771)	Data 0.001 (0.001)	Loss 3.4469 (4.1446)	Prec@1 22.656 (14.672)	Prec@5 49.219 (34.885)
Epoch: [0][13990/14090]	Time 0.780 (0.771)	Data 0.001 (0.001)	Loss 3.2279 (4.1440)	Prec@1 30.469 (14.679)	Prec@5 55.469 (34.897)
Epoch: [0][14000/14090]	Time 0.910 (0.771)	Data 0.001 (0.001)	Loss 3.2339 (4.1434)	Prec@1 25.000 (14.686)	Prec@5 55.469 (34.909)
Epoch: [0][14010/14090]	Time 0.758 (0.771)	Data 0.001 (0.001)	Loss 3.3683 (4.1429)	Prec@1 23.438 (14.693)	Prec@5 53.906 (34.922)
Epoch: [0][14020/14090]	Time 0.747 (0.771)	Data 0.001 (0.001)	Loss 3.0390 (4.1423)	Prec@1 28.906 (14.701)	Prec@5 59.375 (34.935)
Epoch: [0][14030/14090]	Time 0.768 (0.771)	Data 0.002 (0.001)	Loss 3.2917 (4.1417)	Prec@1 26.562 (14.708)	Prec@5 52.344 (34.948)
Epoch: [0][14040/14090]	Time 0.786 (0.771)	Data 0.001 (0.001)	Loss 3.5851 (4.1412)	Prec@1 16.406 (14.715)	Prec@5 50.000 (34.959)
Epoch: [0][14050/14090]	Time 0.748 (0.771)	Data 0.001 (0.001)	Loss 3.4096 (4.1407)	Prec@1 21.094 (14.722)	Prec@5 42.188 (34.970)
Epoch: [0][14060/14090]	Time 0.756 (0.771)	Data 0.001 (0.001)	Loss 3.3909 (4.1401)	Prec@1 26.562 (14.730)	Prec@5 50.000 (34.983)
Epoch: [0][14070/14090]	Time 0.937 (0.771)	Data 0.001 (0.001)	Loss 3.5229 (4.1394)	Prec@1 23.438 (14.737)	Prec@5 47.656 (34.996)
Epoch: [0][14080/14090]	Time 0.758 (0.771)	Data 0.000 (0.001)	Loss 3.2708 (4.1389)	Prec@1 27.344 (14.743)	Prec@5 49.219 (35.007)
Test: [0/286]	Time 2.569 (2.569)	Loss 1.9333 (1.9333)	Prec@1 57.031 (57.031)	Prec@5 88.281 (88.281)
Test: [10/286]	Time 0.275 (0.470)	Loss 2.0493 (3.8627)	Prec@1 52.344 (27.060)	Prec@5 79.688 (58.665)
Test: [20/286]	Time 0.232 (0.363)	Loss 3.1322 (3.5488)	Prec@1 28.125 (29.874)	Prec@5 56.250 (59.003)
Test: [30/286]	Time 0.263 (0.329)	Loss 2.8785 (3.3899)	Prec@1 30.469 (31.124)	Prec@5 61.719 (60.282)
Test: [40/286]	Time 0.231 (0.310)	Loss 3.1195 (3.3352)	Prec@1 14.062 (29.954)	Prec@5 57.812 (59.851)
Test: [50/286]	Time 0.234 (0.299)	Loss 2.8849 (3.3408)	Prec@1 54.688 (29.305)	Prec@5 78.125 (59.007)
Test: [60/286]	Time 0.314 (0.291)	Loss 4.1761 (3.3346)	Prec@1 14.844 (29.239)	Prec@5 39.062 (58.440)
Test: [70/286]	Time 0.233 (0.287)	Loss 2.9663 (3.3420)	Prec@1 39.062 (29.181)	Prec@5 64.062 (58.011)
Test: [80/286]	Time 0.254 (0.283)	Loss 3.6410 (3.3747)	Prec@1 14.062 (27.730)	Prec@5 43.750 (56.800)
Test: [90/286]	Time 0.233 (0.279)	Loss 2.7384 (3.3727)	Prec@1 36.719 (27.301)	Prec@5 63.281 (56.894)
Test: [100/286]	Time 0.236 (0.276)	Loss 4.3761 (3.3727)	Prec@1 5.469 (27.522)	Prec@5 26.562 (57.287)
Test: [110/286]	Time 0.321 (0.275)	Loss 3.5803 (3.3518)	Prec@1 21.094 (27.506)	Prec@5 50.781 (57.517)
Test: [120/286]	Time 0.257 (0.274)	Loss 3.9894 (3.3142)	Prec@1 21.094 (28.073)	Prec@5 39.844 (58.316)
Test: [130/286]	Time 0.250 (0.272)	Loss 3.6652 (3.3130)	Prec@1 35.156 (28.161)	Prec@5 74.219 (58.540)
Test: [140/286]	Time 0.259 (0.272)	Loss 4.5107 (3.3324)	Prec@1 14.844 (28.191)	Prec@5 39.844 (58.344)
Test: [150/286]	Time 0.249 (0.271)	Loss 3.1379 (3.3169)	Prec@1 29.688 (28.109)	Prec@5 60.156 (58.413)
Test: [160/286]	Time 0.251 (0.271)	Loss 4.8889 (3.3464)	Prec@1 7.031 (28.140)	Prec@5 25.000 (58.288)
Test: [170/286]	Time 0.236 (0.270)	Loss 3.3088 (3.3167)	Prec@1 23.438 (28.586)	Prec@5 50.000 (58.717)
Test: [180/286]	Time 0.265 (0.269)	Loss 3.4931 (3.3146)	Prec@1 24.219 (28.272)	Prec@5 53.125 (58.564)
Test: [190/286]	Time 0.242 (0.269)	Loss 3.8143 (3.3326)	Prec@1 16.406 (27.978)	Prec@5 49.219 (58.213)
Test: [200/286]	Time 0.237 (0.268)	Loss 2.9386 (3.3188)	Prec@1 42.188 (28.308)	Prec@5 67.188 (58.399)
Test: [210/286]	Time 0.235 (0.268)	Loss 3.0233 (3.3281)	Prec@1 27.344 (28.055)	Prec@5 71.094 (58.242)
Test: [220/286]	Time 0.251 (0.268)	Loss 4.8771 (3.3289)	Prec@1 2.344 (28.019)	Prec@5 17.969 (57.929)
Test: [230/286]	Time 0.244 (0.267)	Loss 2.2865 (3.3490)	Prec@1 46.094 (28.024)	Prec@5 73.438 (57.785)
Test: [240/286]	Time 0.246 (0.267)	Loss 3.4509 (3.3802)	Prec@1 16.406 (27.765)	Prec@5 51.562 (57.569)
Test: [250/286]	Time 0.234 (0.266)	Loss 2.8398 (3.3628)	Prec@1 31.250 (27.870)	Prec@5 62.500 (57.996)
Test: [260/286]	Time 0.249 (0.266)	Loss 2.3784 (3.3475)	Prec@1 40.625 (28.185)	Prec@5 75.000 (58.360)
Test: [270/286]	Time 0.247 (0.266)	Loss 3.2537 (3.3902)	Prec@1 25.781 (28.148)	Prec@5 61.719 (58.501)
Test: [280/286]	Time 0.236 (0.265)	Loss 2.6296 (3.3688)	Prec@1 37.500 (28.703)	Prec@5 71.875 (58.966)
 * Prec@1 28.907 Prec@5 59.095
Epoch: [1][0/14090]	Time 5.222 (5.222)	Data 3.383 (3.383)	Loss 3.4817 (3.4817)	Prec@1 22.656 (22.656)	Prec@5 53.906 (53.906)
Epoch: [1][10/14090]	Time 0.735 (1.164)	Data 0.001 (0.308)	Loss 3.1624 (3.2853)	Prec@1 30.469 (25.639)	Prec@5 60.938 (55.824)
Epoch: [1][20/14090]	Time 0.730 (0.969)	Data 0.001 (0.162)	Loss 3.4703 (3.3430)	Prec@1 27.344 (24.516)	Prec@5 44.531 (53.534)
Epoch: [1][30/14090]	Time 0.746 (0.897)	Data 0.001 (0.110)	Loss 3.2714 (3.3541)	Prec@1 31.250 (24.672)	Prec@5 50.781 (52.949)
Epoch: [1][40/14090]	Time 0.792 (0.863)	Data 0.001 (0.083)	Loss 3.2284 (3.3418)	Prec@1 24.219 (24.619)	Prec@5 53.125 (53.220)
Epoch: [1][50/14090]	Time 0.756 (0.842)	Data 0.001 (0.067)	Loss 3.3558 (3.3478)	Prec@1 20.312 (24.908)	Prec@5 53.906 (53.110)
Epoch: [1][60/14090]	Time 0.769 (0.829)	Data 0.001 (0.056)	Loss 3.3060 (3.3372)	Prec@1 19.531 (25.038)	Prec@5 53.125 (53.420)
Epoch: [1][70/14090]	Time 0.752 (0.820)	Data 0.001 (0.048)	Loss 3.3790 (3.3345)	Prec@1 18.750 (24.956)	Prec@5 51.562 (53.191)
Epoch: [1][80/14090]	Time 0.786 (0.814)	Data 0.001 (0.043)	Loss 3.4716 (3.3290)	Prec@1 17.969 (25.077)	Prec@5 46.875 (53.212)
Epoch: [1][90/14090]	Time 0.785 (0.810)	Data 0.001 (0.038)	Loss 3.5312 (3.3236)	Prec@1 18.750 (25.112)	Prec@5 50.000 (53.468)
Epoch: [1][100/14090]	Time 0.769 (0.807)	Data 0.001 (0.034)	Loss 3.4015 (3.3231)	Prec@1 17.188 (24.861)	Prec@5 55.469 (53.597)
Epoch: [1][110/14090]	Time 0.797 (0.803)	Data 0.001 (0.031)	Loss 3.4170 (3.3299)	Prec@1 23.438 (24.634)	Prec@5 51.562 (53.336)
Epoch: [1][120/14090]	Time 0.754 (0.800)	Data 0.001 (0.029)	Loss 3.3644 (3.3301)	Prec@1 25.781 (24.742)	Prec@5 50.000 (53.228)
Epoch: [1][130/14090]	Time 0.761 (0.798)	Data 0.001 (0.027)	Loss 3.3222 (3.3279)	Prec@1 28.125 (24.851)	Prec@5 51.562 (53.244)
Epoch: [1][140/14090]	Time 0.757 (0.796)	Data 0.001 (0.025)	Loss 3.4288 (3.3239)	Prec@1 25.781 (24.950)	Prec@5 56.250 (53.297)
Epoch: [1][150/14090]	Time 0.735 (0.794)	Data 0.001 (0.023)	Loss 3.0900 (3.3242)	Prec@1 25.781 (24.943)	Prec@5 60.156 (53.311)
Epoch: [1][160/14090]	Time 0.738 (0.791)	Data 0.001 (0.022)	Loss 3.1341 (3.3238)	Prec@1 30.469 (25.015)	Prec@5 57.812 (53.358)
Epoch: [1][170/14090]	Time 0.758 (0.790)	Data 0.001 (0.021)	Loss 3.4236 (3.3269)	Prec@1 26.562 (24.977)	Prec@5 53.906 (53.262)
Epoch: [1][180/14090]	Time 0.824 (0.789)	Data 0.001 (0.020)	Loss 3.1041 (3.3217)	Prec@1 25.781 (25.013)	Prec@5 57.812 (53.267)
Epoch: [1][190/14090]	Time 0.761 (0.788)	Data 0.001 (0.019)	Loss 3.1171 (3.3174)	Prec@1 21.094 (24.984)	Prec@5 54.688 (53.342)
Epoch: [1][200/14090]	Time 0.748 (0.786)	Data 0.001 (0.018)	Loss 3.3662 (3.3133)	Prec@1 24.219 (25.039)	Prec@5 53.125 (53.401)
Epoch: [1][210/14090]	Time 0.771 (0.786)	Data 0.001 (0.017)	Loss 3.4612 (3.3124)	Prec@1 24.219 (25.089)	Prec@5 51.562 (53.403)
Epoch: [1][220/14090]	Time 0.754 (0.785)	Data 0.001 (0.016)	Loss 3.4505 (3.3131)	Prec@1 25.781 (25.035)	Prec@5 46.094 (53.337)
Epoch: [1][230/14090]	Time 0.793 (0.785)	Data 0.001 (0.015)	Loss 3.4267 (3.3163)	Prec@1 21.094 (25.051)	Prec@5 50.781 (53.311)
Epoch: [1][240/14090]	Time 0.727 (0.784)	Data 0.001 (0.015)	Loss 3.4005 (3.3172)	Prec@1 22.656 (25.000)	Prec@5 42.188 (53.213)
Epoch: [1][250/14090]	Time 0.885 (0.783)	Data 0.001 (0.014)	Loss 3.3889 (3.3148)	Prec@1 25.781 (25.056)	Prec@5 52.344 (53.290)
Epoch: [1][260/14090]	Time 0.765 (0.783)	Data 0.001 (0.014)	Loss 3.3195 (3.3137)	Prec@1 27.344 (25.033)	Prec@5 53.125 (53.326)
Epoch: [1][270/14090]	Time 0.737 (0.782)	Data 0.001 (0.013)	Loss 3.3578 (3.3126)	Prec@1 21.094 (24.937)	Prec@5 49.219 (53.359)
Epoch: [1][280/14090]	Time 0.749 (0.781)	Data 0.001 (0.013)	Loss 3.1061 (3.3131)	Prec@1 29.688 (24.925)	Prec@5 58.594 (53.303)
Epoch: [1][290/14090]	Time 0.777 (0.781)	Data 0.001 (0.012)	Loss 3.2292 (3.3129)	Prec@1 25.781 (24.917)	Prec@5 53.125 (53.286)
Epoch: [1][300/14090]	Time 0.756 (0.781)	Data 0.001 (0.012)	Loss 3.3421 (3.3116)	Prec@1 26.562 (24.958)	Prec@5 54.688 (53.278)
Epoch: [1][310/14090]	Time 0.746 (0.780)	Data 0.001 (0.012)	Loss 3.6266 (3.3137)	Prec@1 17.969 (24.910)	Prec@5 45.312 (53.238)
Epoch: [1][320/14090]	Time 0.821 (0.780)	Data 0.001 (0.011)	Loss 3.1879 (3.3132)	Prec@1 31.250 (24.956)	Prec@5 55.469 (53.249)
Epoch: [1][330/14090]	Time 0.765 (0.779)	Data 0.001 (0.011)	Loss 3.1681 (3.3130)	Prec@1 27.344 (24.913)	Prec@5 58.594 (53.262)
Epoch: [1][340/14090]	Time 0.760 (0.779)	Data 0.001 (0.011)	Loss 3.3126 (3.3115)	Prec@1 21.094 (24.954)	Prec@5 53.906 (53.295)
Epoch: [1][350/14090]	Time 0.739 (0.779)	Data 0.001 (0.010)	Loss 2.9740 (3.3105)	Prec@1 30.469 (24.960)	Prec@5 61.719 (53.287)
Epoch: [1][360/14090]	Time 0.753 (0.778)	Data 0.001 (0.010)	Loss 3.2580 (3.3124)	Prec@1 22.656 (24.931)	Prec@5 55.469 (53.244)
Epoch: [1][370/14090]	Time 0.760 (0.778)	Data 0.001 (0.010)	Loss 3.3113 (3.3128)	Prec@1 27.344 (24.920)	Prec@5 53.125 (53.239)
Epoch: [1][380/14090]	Time 0.765 (0.777)	Data 0.002 (0.010)	Loss 3.6694 (3.3149)	Prec@1 18.750 (24.904)	Prec@5 46.094 (53.166)
Epoch: [1][390/14090]	Time 0.798 (0.777)	Data 0.001 (0.009)	Loss 3.3679 (3.3130)	Prec@1 18.750 (24.958)	Prec@5 52.344 (53.205)
Epoch: [1][400/14090]	Time 0.751 (0.776)	Data 0.001 (0.009)	Loss 3.3785 (3.3138)	Prec@1 21.875 (24.910)	Prec@5 53.125 (53.191)
Epoch: [1][410/14090]	Time 0.792 (0.776)	Data 0.001 (0.009)	Loss 3.3673 (3.3128)	Prec@1 18.750 (24.930)	Prec@5 46.875 (53.203)
Epoch: [1][420/14090]	Time 0.785 (0.776)	Data 0.001 (0.009)	Loss 3.2502 (3.3121)	Prec@1 25.781 (24.942)	Prec@5 57.031 (53.168)
Epoch: [1][430/14090]	Time 0.765 (0.776)	Data 0.001 (0.009)	Loss 3.7064 (3.3123)	Prec@1 17.969 (24.927)	Prec@5 45.312 (53.208)
Epoch: [1][440/14090]	Time 0.740 (0.776)	Data 0.001 (0.009)	Loss 3.2572 (3.3129)	Prec@1 28.125 (24.949)	Prec@5 54.688 (53.194)
Epoch: [1][450/14090]	Time 0.741 (0.775)	Data 0.001 (0.008)	Loss 3.3042 (3.3124)	Prec@1 25.781 (24.936)	Prec@5 57.812 (53.196)
Epoch: [1][460/14090]	Time 0.826 (0.775)	Data 0.001 (0.008)	Loss 3.4888 (3.3124)	Prec@1 26.562 (24.969)	Prec@5 47.656 (53.201)
Epoch: [1][470/14090]	Time 0.748 (0.775)	Data 0.001 (0.008)	Loss 3.5037 (3.3129)	Prec@1 20.312 (24.950)	Prec@5 50.000 (53.173)
Epoch: [1][480/14090]	Time 0.768 (0.775)	Data 0.001 (0.008)	Loss 3.3123 (3.3129)	Prec@1 30.469 (24.940)	Prec@5 53.906 (53.179)
Epoch: [1][490/14090]	Time 0.766 (0.775)	Data 0.001 (0.008)	Loss 3.3435 (3.3134)	Prec@1 24.219 (24.949)	Prec@5 50.781 (53.184)
Epoch: [1][500/14090]	Time 0.772 (0.775)	Data 0.001 (0.008)	Loss 3.1715 (3.3130)	Prec@1 30.469 (24.967)	Prec@5 59.375 (53.183)
Epoch: [1][510/14090]	Time 0.728 (0.774)	Data 0.001 (0.007)	Loss 3.3642 (3.3124)	Prec@1 25.781 (24.986)	Prec@5 50.781 (53.186)
Epoch: [1][520/14090]	Time 0.753 (0.774)	Data 0.001 (0.007)	Loss 3.2739 (3.3113)	Prec@1 28.125 (24.990)	Prec@5 54.688 (53.192)
Epoch: [1][530/14090]	Time 0.807 (0.774)	Data 0.001 (0.007)	Loss 3.3214 (3.3112)	Prec@1 20.312 (24.985)	Prec@5 50.000 (53.203)
Epoch: [1][540/14090]	Time 0.757 (0.774)	Data 0.001 (0.007)	Loss 3.1710 (3.3087)	Prec@1 28.125 (25.030)	Prec@5 57.812 (53.256)
Epoch: [1][550/14090]	Time 0.776 (0.773)	Data 0.001 (0.007)	Loss 3.2038 (3.3088)	Prec@1 30.469 (25.050)	Prec@5 57.031 (53.263)
Epoch: [1][560/14090]	Time 0.780 (0.773)	Data 0.001 (0.007)	Loss 3.2474 (3.3093)	Prec@1 30.469 (25.042)	Prec@5 53.906 (53.250)
Epoch: [1][570/14090]	Time 0.762 (0.773)	Data 0.002 (0.007)	Loss 3.4859 (3.3086)	Prec@1 25.781 (25.094)	Prec@5 49.219 (53.270)
Epoch: [1][580/14090]	Time 0.780 (0.773)	Data 0.001 (0.007)	Loss 3.2246 (3.3080)	Prec@1 27.344 (25.078)	Prec@5 57.812 (53.269)
Epoch: [1][590/14090]	Time 0.755 (0.773)	Data 0.001 (0.007)	Loss 3.2948 (3.3079)	Prec@1 22.656 (25.040)	Prec@5 52.344 (53.282)
Epoch: [1][600/14090]	Time 0.812 (0.773)	Data 0.002 (0.006)	Loss 3.3426 (3.3084)	Prec@1 19.531 (24.997)	Prec@5 52.344 (53.265)
Epoch: [1][610/14090]	Time 0.756 (0.773)	Data 0.001 (0.006)	Loss 3.6531 (3.3091)	Prec@1 17.188 (24.988)	Prec@5 42.188 (53.245)
Epoch: [1][620/14090]	Time 0.731 (0.773)	Data 0.001 (0.006)	Loss 3.3797 (3.3097)	Prec@1 17.969 (24.964)	Prec@5 51.562 (53.237)
Epoch: [1][630/14090]	Time 0.743 (0.773)	Data 0.001 (0.006)	Loss 3.1964 (3.3097)	Prec@1 25.781 (24.968)	Prec@5 56.250 (53.251)
Epoch: [1][640/14090]	Time 0.759 (0.773)	Data 0.001 (0.006)	Loss 3.2980 (3.3091)	Prec@1 28.906 (24.980)	Prec@5 53.125 (53.269)
Epoch: [1][650/14090]	Time 0.779 (0.773)	Data 0.001 (0.006)	Loss 3.1722 (3.3094)	Prec@1 28.906 (24.970)	Prec@5 53.125 (53.264)
Epoch: [1][660/14090]	Time 0.726 (0.773)	Data 0.001 (0.006)	Loss 3.1442 (3.3100)	Prec@1 32.031 (24.967)	Prec@5 57.812 (53.241)
Epoch: [1][670/14090]	Time 0.784 (0.772)	Data 0.001 (0.006)	Loss 3.0779 (3.3083)	Prec@1 29.688 (24.995)	Prec@5 57.031 (53.268)
Epoch: [1][680/14090]	Time 0.743 (0.772)	Data 0.001 (0.006)	Loss 3.4298 (3.3082)	Prec@1 28.125 (25.008)	Prec@5 54.688 (53.271)
Epoch: [1][690/14090]	Time 0.765 (0.772)	Data 0.001 (0.006)	Loss 3.3164 (3.3086)	Prec@1 19.531 (25.005)	Prec@5 50.781 (53.252)
Epoch: [1][700/14090]	Time 0.749 (0.772)	Data 0.001 (0.006)	Loss 3.0247 (3.3092)	Prec@1 32.812 (25.011)	Prec@5 56.250 (53.239)
Epoch: [1][710/14090]	Time 0.763 (0.772)	Data 0.001 (0.006)	Loss 3.2297 (3.3080)	Prec@1 32.031 (25.037)	Prec@5 57.812 (53.261)
Epoch: [1][720/14090]	Time 0.760 (0.772)	Data 0.001 (0.006)	Loss 3.0837 (3.3081)	Prec@1 25.000 (25.042)	Prec@5 57.031 (53.242)
Epoch: [1][730/14090]	Time 0.747 (0.772)	Data 0.001 (0.005)	Loss 3.4330 (3.3085)	Prec@1 25.000 (25.033)	Prec@5 53.125 (53.235)
Epoch: [1][740/14090]	Time 0.809 (0.772)	Data 0.001 (0.005)	Loss 3.3995 (3.3087)	Prec@1 25.781 (25.054)	Prec@5 57.031 (53.239)
Epoch: [1][750/14090]	Time 0.759 (0.772)	Data 0.001 (0.005)	Loss 3.4767 (3.3087)	Prec@1 24.219 (25.031)	Prec@5 46.875 (53.240)
Epoch: [1][760/14090]	Time 0.734 (0.772)	Data 0.001 (0.005)	Loss 3.2354 (3.3081)	Prec@1 22.656 (25.035)	Prec@5 51.562 (53.245)
Epoch: [1][770/14090]	Time 0.782 (0.772)	Data 0.001 (0.005)	Loss 3.3060 (3.3084)	Prec@1 24.219 (25.037)	Prec@5 52.344 (53.245)
Epoch: [1][780/14090]	Time 0.722 (0.772)	Data 0.001 (0.005)	Loss 3.2875 (3.3089)	Prec@1 28.906 (25.037)	Prec@5 51.562 (53.238)
Epoch: [1][790/14090]	Time 0.753 (0.772)	Data 0.001 (0.005)	Loss 3.1927 (3.3089)	Prec@1 33.594 (25.037)	Prec@5 56.250 (53.259)
Epoch: [1][800/14090]	Time 0.759 (0.772)	Data 0.001 (0.005)	Loss 3.3109 (3.3082)	Prec@1 24.219 (25.034)	Prec@5 51.562 (53.291)
Epoch: [1][810/14090]	Time 0.798 (0.772)	Data 0.001 (0.005)	Loss 3.3597 (3.3083)	Prec@1 21.875 (25.038)	Prec@5 48.438 (53.295)
Epoch: [1][820/14090]	Time 0.774 (0.772)	Data 0.001 (0.005)	Loss 3.5030 (3.3087)	Prec@1 25.000 (25.037)	Prec@5 52.344 (53.289)
Epoch: [1][830/14090]	Time 0.755 (0.772)	Data 0.001 (0.005)	Loss 3.1654 (3.3087)	Prec@1 25.781 (25.047)	Prec@5 57.031 (53.268)
Epoch: [1][840/14090]	Time 0.742 (0.772)	Data 0.001 (0.005)	Loss 3.1549 (3.3091)	Prec@1 31.250 (25.050)	Prec@5 61.719 (53.268)
Epoch: [1][850/14090]	Time 0.733 (0.772)	Data 0.001 (0.005)	Loss 3.4974 (3.3079)	Prec@1 26.562 (25.065)	Prec@5 48.438 (53.288)
Epoch: [1][860/14090]	Time 0.751 (0.772)	Data 0.001 (0.005)	Loss 3.1428 (3.3086)	Prec@1 33.594 (25.068)	Prec@5 53.906 (53.271)
Epoch: [1][870/14090]	Time 0.770 (0.772)	Data 0.001 (0.005)	Loss 3.2354 (3.3085)	Prec@1 25.000 (25.058)	Prec@5 46.094 (53.255)
Epoch: [1][880/14090]	Time 0.810 (0.772)	Data 0.001 (0.005)	Loss 3.2855 (3.3072)	Prec@1 23.438 (25.075)	Prec@5 51.562 (53.280)
Epoch: [1][890/14090]	Time 0.732 (0.771)	Data 0.001 (0.005)	Loss 3.1951 (3.3066)	Prec@1 30.469 (25.094)	Prec@5 55.469 (53.295)
Epoch: [1][900/14090]	Time 0.755 (0.771)	Data 0.001 (0.005)	Loss 3.1946 (3.3057)	Prec@1 29.688 (25.113)	Prec@5 54.688 (53.309)
Epoch: [1][910/14090]	Time 0.751 (0.771)	Data 0.001 (0.005)	Loss 3.5058 (3.3058)	Prec@1 17.969 (25.117)	Prec@5 48.438 (53.289)
Epoch: [1][920/14090]	Time 0.756 (0.771)	Data 0.001 (0.005)	Loss 3.5104 (3.3060)	Prec@1 22.656 (25.120)	Prec@5 48.438 (53.284)
Epoch: [1][930/14090]	Time 0.745 (0.771)	Data 0.001 (0.004)	Loss 3.6916 (3.3062)	Prec@1 18.750 (25.112)	Prec@5 44.531 (53.285)
Epoch: [1][940/14090]	Time 0.758 (0.771)	Data 0.001 (0.004)	Loss 3.3249 (3.3058)	Prec@1 26.562 (25.132)	Prec@5 49.219 (53.284)
Epoch: [1][950/14090]	Time 0.790 (0.771)	Data 0.001 (0.004)	Loss 3.1976 (3.3050)	Prec@1 26.562 (25.156)	Prec@5 56.250 (53.300)
Epoch: [1][960/14090]	Time 0.740 (0.771)	Data 0.001 (0.004)	Loss 3.1998 (3.3053)	Prec@1 28.125 (25.140)	Prec@5 58.594 (53.305)
Epoch: [1][970/14090]	Time 0.761 (0.771)	Data 0.001 (0.004)	Loss 2.9983 (3.3040)	Prec@1 29.688 (25.164)	Prec@5 58.594 (53.333)
Epoch: [1][980/14090]	Time 0.765 (0.771)	Data 0.001 (0.004)	Loss 3.2438 (3.3034)	Prec@1 23.438 (25.166)	Prec@5 51.562 (53.330)
Epoch: [1][990/14090]	Time 0.771 (0.771)	Data 0.001 (0.004)	Loss 3.1245 (3.3026)	Prec@1 24.219 (25.173)	Prec@5 57.031 (53.347)
Epoch: [1][1000/14090]	Time 0.794 (0.771)	Data 0.001 (0.004)	Loss 3.0918 (3.3023)	Prec@1 28.125 (25.186)	Prec@5 63.281 (53.357)
Epoch: [1][1010/14090]	Time 0.732 (0.771)	Data 0.003 (0.004)	Loss 3.2853 (3.3021)	Prec@1 27.344 (25.189)	Prec@5 56.250 (53.339)
Epoch: [1][1020/14090]	Time 0.936 (0.771)	Data 0.001 (0.004)	Loss 3.3434 (3.3020)	Prec@1 21.094 (25.205)	Prec@5 50.781 (53.346)
Epoch: [1][1030/14090]	Time 0.779 (0.771)	Data 0.001 (0.004)	Loss 3.0106 (3.3011)	Prec@1 25.000 (25.209)	Prec@5 62.500 (53.371)
Epoch: [1][1040/14090]	Time 0.766 (0.771)	Data 0.001 (0.004)	Loss 3.4630 (3.3021)	Prec@1 17.188 (25.188)	Prec@5 46.094 (53.334)
Epoch: [1][1050/14090]	Time 0.745 (0.771)	Data 0.001 (0.004)	Loss 3.3835 (3.3015)	Prec@1 25.781 (25.209)	Prec@5 57.031 (53.373)
Epoch: [1][1060/14090]	Time 0.761 (0.771)	Data 0.001 (0.004)	Loss 3.4831 (3.3016)	Prec@1 25.000 (25.216)	Prec@5 52.344 (53.367)
Epoch: [1][1070/14090]	Time 0.769 (0.771)	Data 0.001 (0.004)	Loss 3.4529 (3.3010)	Prec@1 28.125 (25.230)	Prec@5 51.562 (53.380)
Epoch: [1][1080/14090]	Time 0.754 (0.771)	Data 0.001 (0.004)	Loss 3.0782 (3.2998)	Prec@1 26.562 (25.238)	Prec@5 57.031 (53.400)
Epoch: [1][1090/14090]	Time 0.889 (0.771)	Data 0.001 (0.004)	Loss 3.2479 (3.2997)	Prec@1 24.219 (25.238)	Prec@5 51.562 (53.394)
Epoch: [1][1100/14090]	Time 0.778 (0.771)	Data 0.001 (0.004)	Loss 3.4348 (3.2992)	Prec@1 23.438 (25.239)	Prec@5 47.656 (53.394)
Epoch: [1][1110/14090]	Time 0.742 (0.771)	Data 0.001 (0.004)	Loss 3.2487 (3.2989)	Prec@1 30.469 (25.232)	Prec@5 59.375 (53.405)
Epoch: [1][1120/14090]	Time 0.748 (0.771)	Data 0.001 (0.004)	Loss 3.5368 (3.2991)	Prec@1 17.188 (25.222)	Prec@5 44.531 (53.393)
Epoch: [1][1130/14090]	Time 0.742 (0.771)	Data 0.001 (0.004)	Loss 3.2974 (3.2990)	Prec@1 23.438 (25.230)	Prec@5 54.688 (53.395)
Epoch: [1][1140/14090]	Time 0.739 (0.770)	Data 0.001 (0.004)	Loss 3.1062 (3.2988)	Prec@1 29.688 (25.236)	Prec@5 58.594 (53.417)
Epoch: [1][1150/14090]	Time 0.732 (0.770)	Data 0.001 (0.004)	Loss 3.2149 (3.2988)	Prec@1 17.188 (25.224)	Prec@5 55.469 (53.415)
Epoch: [1][1160/14090]	Time 1.010 (0.770)	Data 0.001 (0.004)	Loss 3.4668 (3.2983)	Prec@1 21.094 (25.225)	Prec@5 56.250 (53.427)
Epoch: [1][1170/14090]	Time 0.754 (0.770)	Data 0.001 (0.004)	Loss 3.3225 (3.2985)	Prec@1 24.219 (25.237)	Prec@5 51.562 (53.421)
Epoch: [1][1180/14090]	Time 0.751 (0.770)	Data 0.001 (0.004)	Loss 3.5121 (3.2985)	Prec@1 24.219 (25.237)	Prec@5 47.656 (53.415)
Epoch: [1][1190/14090]	Time 0.740 (0.770)	Data 0.001 (0.004)	Loss 3.1784 (3.2985)	Prec@1 25.000 (25.239)	Prec@5 57.812 (53.425)
Epoch: [1][1200/14090]	Time 0.765 (0.770)	Data 0.001 (0.004)	Loss 3.1852 (3.2981)	Prec@1 27.344 (25.243)	Prec@5 50.000 (53.426)
Epoch: [1][1210/14090]	Time 0.773 (0.770)	Data 0.001 (0.004)	Loss 3.3866 (3.2971)	Prec@1 26.562 (25.265)	Prec@5 53.125 (53.442)
Epoch: [1][1220/14090]	Time 0.738 (0.770)	Data 0.001 (0.004)	Loss 3.4064 (3.2968)	Prec@1 23.438 (25.271)	Prec@5 50.000 (53.447)
Epoch: [1][1230/14090]	Time 1.015 (0.770)	Data 0.001 (0.004)	Loss 3.4560 (3.2967)	Prec@1 25.000 (25.267)	Prec@5 49.219 (53.447)
Epoch: [1][1240/14090]	Time 0.752 (0.770)	Data 0.001 (0.004)	Loss 3.1856 (3.2967)	Prec@1 25.000 (25.274)	Prec@5 53.125 (53.444)
Epoch: [1][1250/14090]	Time 0.758 (0.770)	Data 0.001 (0.004)	Loss 3.1232 (3.2963)	Prec@1 28.125 (25.273)	Prec@5 59.375 (53.460)
Epoch: [1][1260/14090]	Time 0.751 (0.770)	Data 0.001 (0.004)	Loss 3.2808 (3.2959)	Prec@1 27.344 (25.277)	Prec@5 54.688 (53.483)
Epoch: [1][1270/14090]	Time 0.746 (0.770)	Data 0.001 (0.004)	Loss 3.3752 (3.2957)	Prec@1 28.125 (25.285)	Prec@5 52.344 (53.484)
Epoch: [1][1280/14090]	Time 0.747 (0.770)	Data 0.001 (0.003)	Loss 3.4946 (3.2964)	Prec@1 19.531 (25.274)	Prec@5 45.312 (53.467)
Epoch: [1][1290/14090]	Time 0.745 (0.770)	Data 0.001 (0.003)	Loss 3.2143 (3.2964)	Prec@1 29.688 (25.276)	Prec@5 56.250 (53.467)
Epoch: [1][1300/14090]	Time 0.811 (0.770)	Data 0.001 (0.003)	Loss 3.3170 (3.2967)	Prec@1 31.250 (25.288)	Prec@5 52.344 (53.462)
Epoch: [1][1310/14090]	Time 0.765 (0.770)	Data 0.001 (0.003)	Loss 3.2779 (3.2964)	Prec@1 27.344 (25.289)	Prec@5 56.250 (53.471)
Epoch: [1][1320/14090]	Time 0.758 (0.770)	Data 0.002 (0.003)	Loss 3.1523 (3.2970)	Prec@1 26.562 (25.274)	Prec@5 53.125 (53.456)
Epoch: [1][1330/14090]	Time 0.762 (0.770)	Data 0.001 (0.003)	Loss 3.2917 (3.2968)	Prec@1 25.000 (25.283)	Prec@5 57.812 (53.468)
Epoch: [1][1340/14090]	Time 0.734 (0.770)	Data 0.001 (0.003)	Loss 3.2927 (3.2963)	Prec@1 22.656 (25.297)	Prec@5 58.594 (53.488)
Epoch: [1][1350/14090]	Time 0.735 (0.770)	Data 0.001 (0.003)	Loss 3.1337 (3.2963)	Prec@1 24.219 (25.297)	Prec@5 55.469 (53.485)
Epoch: [1][1360/14090]	Time 0.750 (0.770)	Data 0.001 (0.003)	Loss 3.3354 (3.2964)	Prec@1 28.125 (25.311)	Prec@5 51.562 (53.485)
Epoch: [1][1370/14090]	Time 1.009 (0.770)	Data 0.001 (0.003)	Loss 3.1312 (3.2961)	Prec@1 28.906 (25.313)	Prec@5 53.906 (53.501)
Epoch: [1][1380/14090]	Time 0.757 (0.770)	Data 0.001 (0.003)	Loss 3.1540 (3.2953)	Prec@1 29.688 (25.317)	Prec@5 56.250 (53.509)
Epoch: [1][1390/14090]	Time 0.758 (0.770)	Data 0.001 (0.003)	Loss 3.2396 (3.2952)	Prec@1 21.875 (25.322)	Prec@5 50.781 (53.511)
Epoch: [1][1400/14090]	Time 0.769 (0.770)	Data 0.001 (0.003)	Loss 3.2076 (3.2951)	Prec@1 28.125 (25.338)	Prec@5 55.469 (53.521)
Epoch: [1][1410/14090]	Time 0.757 (0.770)	Data 0.001 (0.003)	Loss 3.1063 (3.2945)	Prec@1 24.219 (25.352)	Prec@5 57.031 (53.527)
Epoch: [1][1420/14090]	Time 0.729 (0.770)	Data 0.001 (0.003)	Loss 3.4874 (3.2944)	Prec@1 21.094 (25.352)	Prec@5 51.562 (53.515)
Epoch: [1][1430/14090]	Time 0.741 (0.770)	Data 0.001 (0.003)	Loss 3.0447 (3.2942)	Prec@1 28.125 (25.353)	Prec@5 55.469 (53.513)
Epoch: [1][1440/14090]	Time 0.806 (0.770)	Data 0.001 (0.003)	Loss 3.0769 (3.2940)	Prec@1 28.906 (25.346)	Prec@5 57.031 (53.526)
Epoch: [1][1450/14090]	Time 0.758 (0.770)	Data 0.001 (0.003)	Loss 3.1795 (3.2939)	Prec@1 28.906 (25.341)	Prec@5 57.031 (53.528)
Epoch: [1][1460/14090]	Time 0.761 (0.770)	Data 0.001 (0.003)	Loss 3.5053 (3.2943)	Prec@1 23.438 (25.333)	Prec@5 49.219 (53.516)
Epoch: [1][1470/14090]	Time 0.767 (0.770)	Data 0.001 (0.003)	Loss 3.2815 (3.2943)	Prec@1 28.125 (25.329)	Prec@5 50.781 (53.515)
Epoch: [1][1480/14090]	Time 0.740 (0.770)	Data 0.001 (0.003)	Loss 3.1256 (3.2946)	Prec@1 28.906 (25.332)	Prec@5 56.250 (53.506)
Epoch: [1][1490/14090]	Time 0.762 (0.770)	Data 0.001 (0.003)	Loss 3.0733 (3.2939)	Prec@1 32.031 (25.348)	Prec@5 56.250 (53.515)
Epoch: [1][1500/14090]	Time 0.741 (0.770)	Data 0.001 (0.003)	Loss 3.2545 (3.2945)	Prec@1 20.312 (25.334)	Prec@5 60.156 (53.506)
Epoch: [1][1510/14090]	Time 0.792 (0.770)	Data 0.001 (0.003)	Loss 3.2592 (3.2946)	Prec@1 28.125 (25.331)	Prec@5 54.688 (53.501)
Epoch: [1][1520/14090]	Time 0.744 (0.770)	Data 0.001 (0.003)	Loss 3.0011 (3.2938)	Prec@1 31.250 (25.348)	Prec@5 60.156 (53.520)
Epoch: [1][1530/14090]	Time 0.738 (0.770)	Data 0.001 (0.003)	Loss 3.5404 (3.2941)	Prec@1 21.875 (25.345)	Prec@5 49.219 (53.509)
Epoch: [1][1540/14090]	Time 0.738 (0.770)	Data 0.001 (0.003)	Loss 3.2240 (3.2940)	Prec@1 28.125 (25.352)	Prec@5 52.344 (53.522)
Epoch: [1][1550/14090]	Time 0.783 (0.770)	Data 0.001 (0.003)	Loss 3.3783 (3.2940)	Prec@1 27.344 (25.348)	Prec@5 51.562 (53.521)
Epoch: [1][1560/14090]	Time 0.755 (0.770)	Data 0.001 (0.003)	Loss 3.3855 (3.2932)	Prec@1 25.781 (25.354)	Prec@5 53.906 (53.530)
Epoch: [1][1570/14090]	Time 0.762 (0.770)	Data 0.001 (0.003)	Loss 3.2507 (3.2928)	Prec@1 21.875 (25.364)	Prec@5 52.344 (53.540)
Epoch: [1][1580/14090]	Time 0.828 (0.770)	Data 0.001 (0.003)	Loss 3.1555 (3.2924)	Prec@1 25.781 (25.372)	Prec@5 55.469 (53.555)
Epoch: [1][1590/14090]	Time 0.764 (0.769)	Data 0.001 (0.003)	Loss 3.5160 (3.2925)	Prec@1 21.094 (25.370)	Prec@5 52.344 (53.549)
Epoch: [1][1600/14090]	Time 0.764 (0.770)	Data 0.001 (0.003)	Loss 3.0422 (3.2920)	Prec@1 31.250 (25.374)	Prec@5 57.812 (53.562)
Epoch: [1][1610/14090]	Time 0.763 (0.769)	Data 0.001 (0.003)	Loss 3.4464 (3.2922)	Prec@1 25.781 (25.377)	Prec@5 50.000 (53.560)
Epoch: [1][1620/14090]	Time 0.774 (0.769)	Data 0.001 (0.003)	Loss 3.1179 (3.2924)	Prec@1 28.125 (25.381)	Prec@5 54.688 (53.554)
Epoch: [1][1630/14090]	Time 0.741 (0.769)	Data 0.001 (0.003)	Loss 3.3769 (3.2921)	Prec@1 20.312 (25.382)	Prec@5 50.000 (53.557)
Epoch: [1][1640/14090]	Time 0.757 (0.769)	Data 0.001 (0.003)	Loss 3.0562 (3.2921)	Prec@1 26.562 (25.374)	Prec@5 64.062 (53.567)
Epoch: [1][1650/14090]	Time 0.776 (0.769)	Data 0.001 (0.003)	Loss 2.9439 (3.2917)	Prec@1 28.906 (25.370)	Prec@5 62.500 (53.575)
Epoch: [1][1660/14090]	Time 0.771 (0.769)	Data 0.001 (0.003)	Loss 3.3487 (3.2909)	Prec@1 28.906 (25.388)	Prec@5 59.375 (53.599)
Epoch: [1][1670/14090]	Time 0.750 (0.769)	Data 0.001 (0.003)	Loss 3.4313 (3.2914)	Prec@1 21.875 (25.384)	Prec@5 51.562 (53.593)
Epoch: [1][1680/14090]	Time 0.774 (0.769)	Data 0.001 (0.003)	Loss 3.1065 (3.2909)	Prec@1 27.344 (25.391)	Prec@5 62.500 (53.609)
Epoch: [1][1690/14090]	Time 0.770 (0.769)	Data 0.001 (0.003)	Loss 3.1700 (3.2907)	Prec@1 27.344 (25.395)	Prec@5 56.250 (53.609)
Epoch: [1][1700/14090]	Time 0.761 (0.769)	Data 0.001 (0.003)	Loss 3.3134 (3.2907)	Prec@1 21.875 (25.399)	Prec@5 51.562 (53.607)
Epoch: [1][1710/14090]	Time 0.747 (0.769)	Data 0.001 (0.003)	Loss 3.3543 (3.2906)	Prec@1 25.781 (25.397)	Prec@5 53.125 (53.607)
Epoch: [1][1720/14090]	Time 0.890 (0.769)	Data 0.001 (0.003)	Loss 3.2458 (3.2906)	Prec@1 25.781 (25.399)	Prec@5 55.469 (53.597)
Epoch: [1][1730/14090]	Time 0.774 (0.769)	Data 0.001 (0.003)	Loss 3.1181 (3.2904)	Prec@1 28.125 (25.406)	Prec@5 51.562 (53.596)
Epoch: [1][1740/14090]	Time 0.726 (0.769)	Data 0.001 (0.003)	Loss 3.4312 (3.2906)	Prec@1 28.125 (25.407)	Prec@5 48.438 (53.587)
Epoch: [1][1750/14090]	Time 0.744 (0.769)	Data 0.001 (0.003)	Loss 3.2213 (3.2904)	Prec@1 31.250 (25.414)	Prec@5 54.688 (53.591)
Epoch: [1][1760/14090]	Time 0.749 (0.769)	Data 0.001 (0.003)	Loss 3.3677 (3.2903)	Prec@1 24.219 (25.408)	Prec@5 53.906 (53.601)
Epoch: [1][1770/14090]	Time 0.755 (0.769)	Data 0.001 (0.003)	Loss 3.2069 (3.2900)	Prec@1 28.125 (25.408)	Prec@5 58.594 (53.598)
Epoch: [1][1780/14090]	Time 0.732 (0.769)	Data 0.001 (0.003)	Loss 3.0071 (3.2902)	Prec@1 31.250 (25.404)	Prec@5 61.719 (53.584)
Epoch: [1][1790/14090]	Time 0.788 (0.769)	Data 0.001 (0.003)	Loss 3.3401 (3.2900)	Prec@1 26.562 (25.405)	Prec@5 53.906 (53.580)
Epoch: [1][1800/14090]	Time 0.769 (0.769)	Data 0.001 (0.003)	Loss 3.3875 (3.2899)	Prec@1 19.531 (25.402)	Prec@5 50.781 (53.575)
Epoch: [1][1810/14090]	Time 0.737 (0.769)	Data 0.001 (0.003)	Loss 3.0964 (3.2897)	Prec@1 33.594 (25.403)	Prec@5 56.250 (53.569)
Epoch: [1][1820/14090]	Time 0.749 (0.769)	Data 0.001 (0.003)	Loss 3.1463 (3.2893)	Prec@1 23.438 (25.409)	Prec@5 53.906 (53.579)
Epoch: [1][1830/14090]	Time 0.783 (0.769)	Data 0.002 (0.003)	Loss 3.3840 (3.2887)	Prec@1 22.656 (25.416)	Prec@5 46.094 (53.583)
Epoch: [1][1840/14090]	Time 0.756 (0.769)	Data 0.001 (0.003)	Loss 3.3680 (3.2884)	Prec@1 23.438 (25.421)	Prec@5 52.344 (53.585)
Epoch: [1][1850/14090]	Time 0.755 (0.769)	Data 0.001 (0.003)	Loss 3.3396 (3.2880)	Prec@1 27.344 (25.439)	Prec@5 49.219 (53.590)
Epoch: [1][1860/14090]	Time 0.808 (0.769)	Data 0.001 (0.003)	Loss 3.1724 (3.2880)	Prec@1 25.000 (25.443)	Prec@5 53.906 (53.593)
Epoch: [1][1870/14090]	Time 0.751 (0.769)	Data 0.001 (0.003)	Loss 3.2886 (3.2882)	Prec@1 25.781 (25.441)	Prec@5 52.344 (53.599)
Epoch: [1][1880/14090]	Time 0.766 (0.769)	Data 0.001 (0.003)	Loss 3.1829 (3.2885)	Prec@1 19.531 (25.436)	Prec@5 53.906 (53.579)
Epoch: [1][1890/14090]	Time 0.758 (0.769)	Data 0.001 (0.003)	Loss 3.3821 (3.2885)	Prec@1 27.344 (25.433)	Prec@5 49.219 (53.579)
Epoch: [1][1900/14090]	Time 0.734 (0.769)	Data 0.001 (0.003)	Loss 3.3600 (3.2885)	Prec@1 18.750 (25.426)	Prec@5 53.125 (53.586)
Epoch: [1][1910/14090]	Time 0.727 (0.769)	Data 0.001 (0.003)	Loss 3.2981 (3.2882)	Prec@1 22.656 (25.428)	Prec@5 53.906 (53.595)
Epoch: [1][1920/14090]	Time 0.749 (0.769)	Data 0.001 (0.003)	Loss 3.3090 (3.2881)	Prec@1 21.094 (25.422)	Prec@5 54.688 (53.590)
Epoch: [1][1930/14090]	Time 0.868 (0.769)	Data 0.001 (0.003)	Loss 3.2376 (3.2885)	Prec@1 26.562 (25.416)	Prec@5 51.562 (53.583)
Epoch: [1][1940/14090]	Time 0.745 (0.769)	Data 0.001 (0.003)	Loss 3.3949 (3.2885)	Prec@1 21.875 (25.422)	Prec@5 48.438 (53.591)
Epoch: [1][1950/14090]	Time 0.751 (0.769)	Data 0.001 (0.003)	Loss 3.3779 (3.2878)	Prec@1 27.344 (25.437)	Prec@5 50.781 (53.600)
Epoch: [1][1960/14090]	Time 0.747 (0.769)	Data 0.001 (0.003)	Loss 3.3974 (3.2877)	Prec@1 21.094 (25.447)	Prec@5 51.562 (53.602)
Epoch: [1][1970/14090]	Time 0.764 (0.769)	Data 0.001 (0.003)	Loss 3.2387 (3.2873)	Prec@1 23.438 (25.453)	Prec@5 54.688 (53.618)
Epoch: [1][1980/14090]	Time 0.744 (0.769)	Data 0.001 (0.003)	Loss 3.2846 (3.2870)	Prec@1 29.688 (25.456)	Prec@5 55.469 (53.624)
Epoch: [1][1990/14090]	Time 0.732 (0.769)	Data 0.001 (0.003)	Loss 3.2966 (3.2873)	Prec@1 21.094 (25.447)	Prec@5 52.344 (53.622)
Epoch: [1][2000/14090]	Time 0.882 (0.769)	Data 0.001 (0.003)	Loss 3.3918 (3.2870)	Prec@1 27.344 (25.452)	Prec@5 50.000 (53.626)
Epoch: [1][2010/14090]	Time 0.760 (0.769)	Data 0.001 (0.003)	Loss 3.6472 (3.2872)	Prec@1 14.844 (25.452)	Prec@5 45.312 (53.618)
Epoch: [1][2020/14090]	Time 0.779 (0.769)	Data 0.001 (0.003)	Loss 3.0575 (3.2870)	Prec@1 30.469 (25.454)	Prec@5 61.719 (53.626)
Epoch: [1][2030/14090]	Time 0.732 (0.769)	Data 0.001 (0.003)	Loss 3.0687 (3.2870)	Prec@1 26.562 (25.461)	Prec@5 62.500 (53.627)
Epoch: [1][2040/14090]	Time 0.727 (0.769)	Data 0.001 (0.002)	Loss 3.1045 (3.2868)	Prec@1 29.688 (25.462)	Prec@5 60.938 (53.625)
Epoch: [1][2050/14090]	Time 0.758 (0.769)	Data 0.001 (0.002)	Loss 3.3660 (3.2867)	Prec@1 20.312 (25.461)	Prec@5 54.688 (53.630)
Epoch: [1][2060/14090]	Time 0.754 (0.769)	Data 0.001 (0.002)	Loss 3.2178 (3.2868)	Prec@1 26.562 (25.458)	Prec@5 52.344 (53.630)
Epoch: [1][2070/14090]	Time 0.843 (0.769)	Data 0.001 (0.002)	Loss 3.3618 (3.2868)	Prec@1 25.000 (25.456)	Prec@5 51.562 (53.627)
Epoch: [1][2080/14090]	Time 0.762 (0.769)	Data 0.001 (0.002)	Loss 3.2282 (3.2864)	Prec@1 27.344 (25.471)	Prec@5 54.688 (53.639)
Epoch: [1][2090/14090]	Time 0.738 (0.769)	Data 0.001 (0.002)	Loss 3.3001 (3.2865)	Prec@1 25.781 (25.470)	Prec@5 46.094 (53.640)
Epoch: [1][2100/14090]	Time 0.778 (0.769)	Data 0.001 (0.002)	Loss 3.0778 (3.2864)	Prec@1 30.469 (25.469)	Prec@5 56.250 (53.636)
Epoch: [1][2110/14090]	Time 0.752 (0.769)	Data 0.001 (0.002)	Loss 3.2562 (3.2864)	Prec@1 25.781 (25.477)	Prec@5 55.469 (53.636)
Epoch: [1][2120/14090]	Time 0.765 (0.769)	Data 0.001 (0.002)	Loss 3.0807 (3.2858)	Prec@1 27.344 (25.486)	Prec@5 62.500 (53.651)
Epoch: [1][2130/14090]	Time 0.760 (0.769)	Data 0.001 (0.002)	Loss 3.2843 (3.2854)	Prec@1 24.219 (25.488)	Prec@5 47.656 (53.654)
Epoch: [1][2140/14090]	Time 0.795 (0.769)	Data 0.001 (0.002)	Loss 3.4338 (3.2855)	Prec@1 24.219 (25.494)	Prec@5 52.344 (53.657)
Epoch: [1][2150/14090]	Time 0.746 (0.769)	Data 0.001 (0.002)	Loss 3.2978 (3.2860)	Prec@1 25.781 (25.486)	Prec@5 50.781 (53.640)
Epoch: [1][2160/14090]	Time 0.737 (0.769)	Data 0.001 (0.002)	Loss 3.1144 (3.2859)	Prec@1 25.000 (25.480)	Prec@5 58.594 (53.649)
Epoch: [1][2170/14090]	Time 0.742 (0.769)	Data 0.001 (0.002)	Loss 3.3301 (3.2859)	Prec@1 25.000 (25.479)	Prec@5 52.344 (53.644)
Epoch: [1][2180/14090]	Time 0.752 (0.769)	Data 0.001 (0.002)	Loss 3.2523 (3.2857)	Prec@1 21.875 (25.482)	Prec@5 57.031 (53.648)
Epoch: [1][2190/14090]	Time 0.732 (0.769)	Data 0.001 (0.002)	Loss 3.0671 (3.2858)	Prec@1 31.250 (25.490)	Prec@5 58.594 (53.652)
Epoch: [1][2200/14090]	Time 0.759 (0.769)	Data 0.001 (0.002)	Loss 3.3474 (3.2856)	Prec@1 23.438 (25.493)	Prec@5 52.344 (53.651)
Epoch: [1][2210/14090]	Time 0.798 (0.769)	Data 0.001 (0.002)	Loss 3.2865 (3.2853)	Prec@1 25.000 (25.503)	Prec@5 50.781 (53.659)
Epoch: [1][2220/14090]	Time 0.740 (0.769)	Data 0.001 (0.002)	Loss 2.8964 (3.2849)	Prec@1 32.812 (25.508)	Prec@5 60.156 (53.671)
Epoch: [1][2230/14090]	Time 0.745 (0.769)	Data 0.001 (0.002)	Loss 3.1588 (3.2847)	Prec@1 22.656 (25.507)	Prec@5 61.719 (53.678)
Epoch: [1][2240/14090]	Time 0.744 (0.769)	Data 0.001 (0.002)	Loss 3.0267 (3.2843)	Prec@1 26.562 (25.513)	Prec@5 66.406 (53.688)
Epoch: [1][2250/14090]	Time 0.741 (0.769)	Data 0.001 (0.002)	Loss 3.3231 (3.2839)	Prec@1 25.781 (25.513)	Prec@5 47.656 (53.686)
Epoch: [1][2260/14090]	Time 0.740 (0.769)	Data 0.001 (0.002)	Loss 3.0414 (3.2832)	Prec@1 29.688 (25.519)	Prec@5 51.562 (53.703)
Epoch: [1][2270/14090]	Time 0.745 (0.769)	Data 0.001 (0.002)	Loss 2.9641 (3.2827)	Prec@1 28.906 (25.524)	Prec@5 59.375 (53.713)
Epoch: [1][2280/14090]	Time 0.881 (0.769)	Data 0.001 (0.002)	Loss 3.2484 (3.2828)	Prec@1 28.125 (25.526)	Prec@5 55.469 (53.711)
Epoch: [1][2290/14090]	Time 0.762 (0.769)	Data 0.001 (0.002)	Loss 3.1906 (3.2825)	Prec@1 25.781 (25.531)	Prec@5 62.500 (53.721)
Epoch: [1][2300/14090]	Time 0.760 (0.769)	Data 0.001 (0.002)	Loss 3.3548 (3.2824)	Prec@1 25.781 (25.542)	Prec@5 46.094 (53.722)
Epoch: [1][2310/14090]	Time 0.752 (0.769)	Data 0.001 (0.002)	Loss 2.9553 (3.2822)	Prec@1 34.375 (25.546)	Prec@5 61.719 (53.724)
Epoch: [1][2320/14090]	Time 0.753 (0.769)	Data 0.002 (0.002)	Loss 3.3991 (3.2825)	Prec@1 27.344 (25.543)	Prec@5 50.781 (53.723)
Epoch: [1][2330/14090]	Time 0.764 (0.769)	Data 0.001 (0.002)	Loss 3.2355 (3.2826)	Prec@1 25.000 (25.545)	Prec@5 53.906 (53.719)
Epoch: [1][2340/14090]	Time 0.730 (0.769)	Data 0.001 (0.002)	Loss 3.1896 (3.2824)	Prec@1 25.000 (25.548)	Prec@5 54.688 (53.721)
Epoch: [1][2350/14090]	Time 0.827 (0.769)	Data 0.001 (0.002)	Loss 3.0491 (3.2821)	Prec@1 28.906 (25.553)	Prec@5 57.812 (53.726)
Epoch: [1][2360/14090]	Time 0.760 (0.769)	Data 0.001 (0.002)	Loss 3.1701 (3.2821)	Prec@1 31.250 (25.561)	Prec@5 53.125 (53.725)
Epoch: [1][2370/14090]	Time 0.763 (0.769)	Data 0.001 (0.002)	Loss 3.0186 (3.2817)	Prec@1 31.250 (25.563)	Prec@5 60.938 (53.731)
Epoch: [1][2380/14090]	Time 0.755 (0.769)	Data 0.001 (0.002)	Loss 3.3067 (3.2820)	Prec@1 23.438 (25.553)	Prec@5 50.000 (53.722)
Epoch: [1][2390/14090]	Time 0.775 (0.769)	Data 0.001 (0.002)	Loss 3.1146 (3.2821)	Prec@1 29.688 (25.554)	Prec@5 60.938 (53.720)
Epoch: [1][2400/14090]	Time 0.732 (0.769)	Data 0.001 (0.002)	Loss 3.1692 (3.2817)	Prec@1 30.469 (25.559)	Prec@5 55.469 (53.725)
Epoch: [1][2410/14090]	Time 0.765 (0.769)	Data 0.001 (0.002)	Loss 3.2040 (3.2814)	Prec@1 21.875 (25.566)	Prec@5 55.469 (53.730)
Epoch: [1][2420/14090]	Time 0.814 (0.769)	Data 0.001 (0.002)	Loss 3.3669 (3.2813)	Prec@1 19.531 (25.564)	Prec@5 50.000 (53.734)
Epoch: [1][2430/14090]	Time 0.770 (0.769)	Data 0.001 (0.002)	Loss 3.2972 (3.2811)	Prec@1 28.906 (25.566)	Prec@5 53.125 (53.731)
Epoch: [1][2440/14090]	Time 0.725 (0.769)	Data 0.001 (0.002)	Loss 3.7261 (3.2813)	Prec@1 22.656 (25.566)	Prec@5 47.656 (53.730)
Epoch: [1][2450/14090]	Time 0.726 (0.769)	Data 0.001 (0.002)	Loss 3.4469 (3.2813)	Prec@1 21.875 (25.568)	Prec@5 48.438 (53.736)
Epoch: [1][2460/14090]	Time 0.754 (0.769)	Data 0.001 (0.002)	Loss 3.3269 (3.2810)	Prec@1 25.000 (25.568)	Prec@5 51.562 (53.741)
Epoch: [1][2470/14090]	Time 0.745 (0.769)	Data 0.001 (0.002)	Loss 3.1487 (3.2805)	Prec@1 30.469 (25.581)	Prec@5 57.812 (53.755)
Epoch: [1][2480/14090]	Time 0.752 (0.769)	Data 0.001 (0.002)	Loss 3.4719 (3.2804)	Prec@1 18.750 (25.581)	Prec@5 48.438 (53.762)
Epoch: [1][2490/14090]	Time 0.822 (0.769)	Data 0.001 (0.002)	Loss 2.9817 (3.2799)	Prec@1 26.562 (25.590)	Prec@5 57.812 (53.765)
Epoch: [1][2500/14090]	Time 0.752 (0.769)	Data 0.001 (0.002)	Loss 2.9680 (3.2798)	Prec@1 33.594 (25.589)	Prec@5 60.938 (53.764)
Epoch: [1][2510/14090]	Time 0.730 (0.769)	Data 0.001 (0.002)	Loss 3.4628 (3.2799)	Prec@1 24.219 (25.591)	Prec@5 49.219 (53.766)
Epoch: [1][2520/14090]	Time 0.785 (0.769)	Data 0.001 (0.002)	Loss 3.4918 (3.2800)	Prec@1 18.750 (25.593)	Prec@5 48.438 (53.760)
Epoch: [1][2530/14090]	Time 0.737 (0.768)	Data 0.001 (0.002)	Loss 3.3113 (3.2798)	Prec@1 29.688 (25.593)	Prec@5 52.344 (53.764)
Epoch: [1][2540/14090]	Time 0.745 (0.768)	Data 0.000 (0.002)	Loss 3.0486 (3.2794)	Prec@1 26.562 (25.597)	Prec@5 59.375 (53.772)
Epoch: [1][2550/14090]	Time 0.752 (0.769)	Data 0.001 (0.002)	Loss 3.1880 (3.2793)	Prec@1 27.344 (25.597)	Prec@5 54.688 (53.776)
Epoch: [1][2560/14090]	Time 0.952 (0.769)	Data 0.001 (0.002)	Loss 3.3528 (3.2792)	Prec@1 25.000 (25.595)	Prec@5 57.812 (53.778)
Epoch: [1][2570/14090]	Time 0.755 (0.769)	Data 0.001 (0.002)	Loss 3.1720 (3.2789)	Prec@1 24.219 (25.598)	Prec@5 56.250 (53.781)
Epoch: [1][2580/14090]	Time 0.756 (0.768)	Data 0.001 (0.002)	Loss 3.3558 (3.2789)	Prec@1 23.438 (25.597)	Prec@5 48.438 (53.777)
Epoch: [1][2590/14090]	Time 0.743 (0.768)	Data 0.001 (0.002)	Loss 3.5090 (3.2792)	Prec@1 25.000 (25.590)	Prec@5 48.438 (53.769)
Epoch: [1][2600/14090]	Time 0.733 (0.768)	Data 0.001 (0.002)	Loss 2.9983 (3.2791)	Prec@1 28.125 (25.591)	Prec@5 64.062 (53.778)
Epoch: [1][2610/14090]	Time 0.756 (0.768)	Data 0.001 (0.002)	Loss 3.2015 (3.2792)	Prec@1 25.781 (25.586)	Prec@5 51.562 (53.778)
Epoch: [1][2620/14090]	Time 0.747 (0.768)	Data 0.001 (0.002)	Loss 3.4651 (3.2790)	Prec@1 25.000 (25.588)	Prec@5 53.125 (53.787)
Epoch: [1][2630/14090]	Time 0.817 (0.769)	Data 0.001 (0.002)	Loss 3.3072 (3.2787)	Prec@1 25.000 (25.589)	Prec@5 55.469 (53.794)
Epoch: [1][2640/14090]	Time 0.741 (0.768)	Data 0.001 (0.002)	Loss 3.2379 (3.2785)	Prec@1 25.781 (25.596)	Prec@5 50.781 (53.796)
Epoch: [1][2650/14090]	Time 0.747 (0.768)	Data 0.001 (0.002)	Loss 3.2214 (3.2784)	Prec@1 25.781 (25.591)	Prec@5 52.344 (53.797)
Epoch: [1][2660/14090]	Time 0.765 (0.768)	Data 0.001 (0.002)	Loss 2.8766 (3.2782)	Prec@1 36.719 (25.597)	Prec@5 65.625 (53.801)
Epoch: [1][2670/14090]	Time 0.745 (0.768)	Data 0.001 (0.002)	Loss 3.3014 (3.2781)	Prec@1 25.781 (25.599)	Prec@5 53.125 (53.802)
Epoch: [1][2680/14090]	Time 0.734 (0.768)	Data 0.001 (0.002)	Loss 3.0484 (3.2776)	Prec@1 31.250 (25.608)	Prec@5 59.375 (53.813)
Epoch: [1][2690/14090]	Time 0.747 (0.768)	Data 0.001 (0.002)	Loss 3.0121 (3.2776)	Prec@1 33.594 (25.603)	Prec@5 55.469 (53.812)
Epoch: [1][2700/14090]	Time 0.808 (0.768)	Data 0.001 (0.002)	Loss 3.4439 (3.2774)	Prec@1 18.750 (25.606)	Prec@5 53.125 (53.816)
Epoch: [1][2710/14090]	Time 0.750 (0.768)	Data 0.001 (0.002)	Loss 3.2038 (3.2770)	Prec@1 25.000 (25.609)	Prec@5 58.594 (53.820)
Epoch: [1][2720/14090]	Time 0.772 (0.768)	Data 0.001 (0.002)	Loss 3.3661 (3.2771)	Prec@1 21.875 (25.610)	Prec@5 58.594 (53.826)
Epoch: [1][2730/14090]	Time 0.768 (0.768)	Data 0.001 (0.002)	Loss 3.2405 (3.2770)	Prec@1 25.000 (25.613)	Prec@5 53.906 (53.826)
Epoch: [1][2740/14090]	Time 0.776 (0.768)	Data 0.001 (0.002)	Loss 3.7268 (3.2770)	Prec@1 16.406 (25.618)	Prec@5 43.750 (53.825)
Epoch: [1][2750/14090]	Time 0.741 (0.768)	Data 0.001 (0.002)	Loss 3.3265 (3.2768)	Prec@1 24.219 (25.617)	Prec@5 53.125 (53.828)
Epoch: [1][2760/14090]	Time 0.758 (0.768)	Data 0.001 (0.002)	Loss 3.2923 (3.2765)	Prec@1 23.438 (25.620)	Prec@5 51.562 (53.831)
Epoch: [1][2770/14090]	Time 0.753 (0.768)	Data 0.001 (0.002)	Loss 3.2141 (3.2765)	Prec@1 29.688 (25.617)	Prec@5 56.250 (53.831)
Epoch: [1][2780/14090]	Time 0.766 (0.768)	Data 0.001 (0.002)	Loss 2.9746 (3.2761)	Prec@1 32.812 (25.626)	Prec@5 60.938 (53.836)
Epoch: [1][2790/14090]	Time 0.745 (0.768)	Data 0.001 (0.002)	Loss 3.5095 (3.2760)	Prec@1 26.562 (25.631)	Prec@5 53.125 (53.838)
Epoch: [1][2800/14090]	Time 0.782 (0.768)	Data 0.001 (0.002)	Loss 3.4309 (3.2760)	Prec@1 25.781 (25.637)	Prec@5 50.781 (53.838)
Epoch: [1][2810/14090]	Time 0.763 (0.768)	Data 0.001 (0.002)	Loss 3.5068 (3.2762)	Prec@1 23.438 (25.637)	Prec@5 46.875 (53.831)
Epoch: [1][2820/14090]	Time 0.733 (0.768)	Data 0.001 (0.002)	Loss 3.2089 (3.2759)	Prec@1 21.875 (25.643)	Prec@5 60.938 (53.838)
Epoch: [1][2830/14090]	Time 0.752 (0.768)	Data 0.001 (0.002)	Loss 3.3918 (3.2759)	Prec@1 21.875 (25.644)	Prec@5 53.906 (53.838)
Epoch: [1][2840/14090]	Time 0.977 (0.768)	Data 0.001 (0.002)	Loss 3.2589 (3.2758)	Prec@1 25.781 (25.646)	Prec@5 53.125 (53.844)
Epoch: [1][2850/14090]	Time 0.737 (0.768)	Data 0.001 (0.002)	Loss 3.2480 (3.2759)	Prec@1 24.219 (25.647)	Prec@5 56.250 (53.843)
Epoch: [1][2860/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 3.1166 (3.2756)	Prec@1 27.344 (25.656)	Prec@5 53.906 (53.849)
Epoch: [1][2870/14090]	Time 0.779 (0.768)	Data 0.001 (0.002)	Loss 3.1707 (3.2754)	Prec@1 28.125 (25.657)	Prec@5 55.469 (53.855)
Epoch: [1][2880/14090]	Time 0.779 (0.768)	Data 0.001 (0.002)	Loss 3.2796 (3.2753)	Prec@1 25.781 (25.655)	Prec@5 55.469 (53.858)
Epoch: [1][2890/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 3.1537 (3.2752)	Prec@1 27.344 (25.650)	Prec@5 56.250 (53.863)
Epoch: [1][2900/14090]	Time 0.759 (0.768)	Data 0.001 (0.002)	Loss 3.1386 (3.2749)	Prec@1 27.344 (25.656)	Prec@5 55.469 (53.868)
Epoch: [1][2910/14090]	Time 0.954 (0.768)	Data 0.001 (0.002)	Loss 3.2662 (3.2748)	Prec@1 30.469 (25.657)	Prec@5 57.031 (53.870)
Epoch: [1][2920/14090]	Time 0.752 (0.768)	Data 0.001 (0.002)	Loss 3.2304 (3.2747)	Prec@1 25.781 (25.662)	Prec@5 49.219 (53.870)
Epoch: [1][2930/14090]	Time 0.778 (0.768)	Data 0.001 (0.002)	Loss 2.9427 (3.2745)	Prec@1 31.250 (25.667)	Prec@5 64.062 (53.874)
Epoch: [1][2940/14090]	Time 0.755 (0.768)	Data 0.001 (0.002)	Loss 3.2256 (3.2746)	Prec@1 29.688 (25.668)	Prec@5 53.125 (53.871)
Epoch: [1][2950/14090]	Time 0.731 (0.768)	Data 0.001 (0.002)	Loss 3.1631 (3.2745)	Prec@1 26.562 (25.668)	Prec@5 57.812 (53.870)
Epoch: [1][2960/14090]	Time 0.749 (0.768)	Data 0.001 (0.002)	Loss 3.4198 (3.2748)	Prec@1 27.344 (25.663)	Prec@5 48.438 (53.867)
Epoch: [1][2970/14090]	Time 0.735 (0.768)	Data 0.001 (0.002)	Loss 3.2762 (3.2746)	Prec@1 19.531 (25.656)	Prec@5 53.906 (53.864)
Epoch: [1][2980/14090]	Time 0.819 (0.768)	Data 0.001 (0.002)	Loss 3.4280 (3.2744)	Prec@1 23.438 (25.661)	Prec@5 50.781 (53.873)
Epoch: [1][2990/14090]	Time 0.760 (0.768)	Data 0.001 (0.002)	Loss 3.3303 (3.2742)	Prec@1 25.781 (25.666)	Prec@5 52.344 (53.878)
Epoch: [1][3000/14090]	Time 0.760 (0.768)	Data 0.001 (0.002)	Loss 3.2738 (3.2742)	Prec@1 27.344 (25.667)	Prec@5 58.594 (53.877)
Epoch: [1][3010/14090]	Time 0.780 (0.768)	Data 0.001 (0.002)	Loss 3.2050 (3.2740)	Prec@1 26.562 (25.672)	Prec@5 53.906 (53.880)
Epoch: [1][3020/14090]	Time 0.750 (0.768)	Data 0.001 (0.002)	Loss 3.2827 (3.2738)	Prec@1 21.875 (25.671)	Prec@5 53.906 (53.891)
Epoch: [1][3030/14090]	Time 0.729 (0.768)	Data 0.001 (0.002)	Loss 3.0962 (3.2733)	Prec@1 28.125 (25.684)	Prec@5 56.250 (53.899)
Epoch: [1][3040/14090]	Time 0.750 (0.768)	Data 0.001 (0.002)	Loss 3.2639 (3.2731)	Prec@1 30.469 (25.686)	Prec@5 57.812 (53.904)
Epoch: [1][3050/14090]	Time 0.875 (0.769)	Data 0.001 (0.002)	Loss 3.6270 (3.2732)	Prec@1 18.750 (25.678)	Prec@5 45.312 (53.902)
Epoch: [1][3060/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 3.2889 (3.2730)	Prec@1 28.125 (25.678)	Prec@5 56.250 (53.910)
Epoch: [1][3070/14090]	Time 0.753 (0.768)	Data 0.001 (0.002)	Loss 3.2244 (3.2727)	Prec@1 24.219 (25.681)	Prec@5 58.594 (53.916)
Epoch: [1][3080/14090]	Time 0.754 (0.768)	Data 0.001 (0.002)	Loss 3.2192 (3.2723)	Prec@1 28.906 (25.691)	Prec@5 53.125 (53.926)
Epoch: [1][3090/14090]	Time 0.737 (0.768)	Data 0.001 (0.002)	Loss 2.9891 (3.2721)	Prec@1 27.344 (25.699)	Prec@5 64.062 (53.939)
Epoch: [1][3100/14090]	Time 0.732 (0.768)	Data 0.001 (0.002)	Loss 3.2624 (3.2719)	Prec@1 24.219 (25.706)	Prec@5 61.719 (53.943)
Epoch: [1][3110/14090]	Time 0.753 (0.768)	Data 0.001 (0.002)	Loss 3.1052 (3.2719)	Prec@1 28.125 (25.710)	Prec@5 56.250 (53.938)
Epoch: [1][3120/14090]	Time 0.830 (0.768)	Data 0.001 (0.002)	Loss 3.2984 (3.2718)	Prec@1 32.812 (25.712)	Prec@5 59.375 (53.943)
Epoch: [1][3130/14090]	Time 0.756 (0.768)	Data 0.001 (0.002)	Loss 3.3420 (3.2716)	Prec@1 23.438 (25.718)	Prec@5 53.906 (53.941)
Epoch: [1][3140/14090]	Time 0.756 (0.768)	Data 0.001 (0.002)	Loss 3.2940 (3.2714)	Prec@1 25.000 (25.728)	Prec@5 52.344 (53.941)
Epoch: [1][3150/14090]	Time 0.769 (0.768)	Data 0.001 (0.002)	Loss 3.0974 (3.2712)	Prec@1 28.906 (25.728)	Prec@5 60.938 (53.945)
Epoch: [1][3160/14090]	Time 0.772 (0.768)	Data 0.001 (0.002)	Loss 3.4016 (3.2711)	Prec@1 22.656 (25.732)	Prec@5 50.781 (53.944)
Epoch: [1][3170/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 2.8614 (3.2705)	Prec@1 32.812 (25.741)	Prec@5 62.500 (53.955)
Epoch: [1][3180/14090]	Time 0.755 (0.768)	Data 0.001 (0.002)	Loss 3.2685 (3.2701)	Prec@1 23.438 (25.745)	Prec@5 52.344 (53.967)
Epoch: [1][3190/14090]	Time 0.859 (0.768)	Data 0.001 (0.002)	Loss 3.3759 (3.2701)	Prec@1 29.688 (25.751)	Prec@5 56.250 (53.973)
Epoch: [1][3200/14090]	Time 0.776 (0.768)	Data 0.001 (0.002)	Loss 3.2531 (3.2701)	Prec@1 29.688 (25.755)	Prec@5 52.344 (53.970)
Epoch: [1][3210/14090]	Time 0.758 (0.769)	Data 0.001 (0.002)	Loss 3.2609 (3.2701)	Prec@1 21.875 (25.759)	Prec@5 54.688 (53.974)
Epoch: [1][3220/14090]	Time 0.741 (0.769)	Data 0.001 (0.002)	Loss 3.0353 (3.2699)	Prec@1 28.906 (25.757)	Prec@5 57.812 (53.976)
Epoch: [1][3230/14090]	Time 0.743 (0.768)	Data 0.001 (0.002)	Loss 3.1732 (3.2693)	Prec@1 29.688 (25.766)	Prec@5 57.812 (53.986)
Epoch: [1][3240/14090]	Time 0.748 (0.769)	Data 0.001 (0.002)	Loss 3.2189 (3.2689)	Prec@1 32.031 (25.774)	Prec@5 53.125 (53.989)
Epoch: [1][3250/14090]	Time 0.757 (0.768)	Data 0.001 (0.002)	Loss 2.6393 (3.2683)	Prec@1 36.719 (25.781)	Prec@5 67.969 (53.999)
Epoch: [1][3260/14090]	Time 0.784 (0.769)	Data 0.001 (0.002)	Loss 3.3630 (3.2683)	Prec@1 21.875 (25.782)	Prec@5 50.000 (53.999)
Epoch: [1][3270/14090]	Time 0.762 (0.769)	Data 0.001 (0.002)	Loss 3.2993 (3.2681)	Prec@1 25.000 (25.784)	Prec@5 52.344 (54.002)
Epoch: [1][3280/14090]	Time 0.785 (0.768)	Data 0.001 (0.002)	Loss 3.5045 (3.2678)	Prec@1 22.656 (25.791)	Prec@5 53.906 (54.015)
Epoch: [1][3290/14090]	Time 0.732 (0.768)	Data 0.001 (0.002)	Loss 3.0448 (3.2678)	Prec@1 32.812 (25.795)	Prec@5 60.938 (54.012)
Epoch: [1][3300/14090]	Time 0.768 (0.768)	Data 0.001 (0.002)	Loss 2.8901 (3.2677)	Prec@1 29.688 (25.794)	Prec@5 57.031 (54.013)
Epoch: [1][3310/14090]	Time 0.755 (0.768)	Data 0.002 (0.002)	Loss 3.5857 (3.2675)	Prec@1 23.438 (25.794)	Prec@5 46.875 (54.011)
Epoch: [1][3320/14090]	Time 0.749 (0.768)	Data 0.001 (0.002)	Loss 3.2634 (3.2673)	Prec@1 30.469 (25.803)	Prec@5 53.906 (54.014)
Epoch: [1][3330/14090]	Time 0.822 (0.768)	Data 0.001 (0.002)	Loss 3.4598 (3.2671)	Prec@1 18.750 (25.804)	Prec@5 53.125 (54.021)
Epoch: [1][3340/14090]	Time 0.761 (0.768)	Data 0.001 (0.002)	Loss 3.2064 (3.2670)	Prec@1 28.125 (25.805)	Prec@5 56.250 (54.027)
Epoch: [1][3350/14090]	Time 0.776 (0.768)	Data 0.001 (0.002)	Loss 3.2113 (3.2672)	Prec@1 25.000 (25.803)	Prec@5 63.281 (54.027)
Epoch: [1][3360/14090]	Time 0.752 (0.768)	Data 0.001 (0.002)	Loss 3.1462 (3.2667)	Prec@1 28.906 (25.812)	Prec@5 60.938 (54.040)
Epoch: [1][3370/14090]	Time 0.783 (0.768)	Data 0.001 (0.002)	Loss 3.2047 (3.2665)	Prec@1 25.781 (25.821)	Prec@5 58.594 (54.049)
Epoch: [1][3380/14090]	Time 0.730 (0.768)	Data 0.001 (0.002)	Loss 3.3260 (3.2666)	Prec@1 28.125 (25.819)	Prec@5 51.562 (54.045)
Epoch: [1][3390/14090]	Time 0.746 (0.768)	Data 0.001 (0.002)	Loss 3.3542 (3.2666)	Prec@1 21.094 (25.814)	Prec@5 53.125 (54.042)
Epoch: [1][3400/14090]	Time 0.830 (0.768)	Data 0.001 (0.002)	Loss 3.2962 (3.2667)	Prec@1 21.094 (25.810)	Prec@5 57.031 (54.038)
Epoch: [1][3410/14090]	Time 0.730 (0.768)	Data 0.001 (0.002)	Loss 3.1363 (3.2667)	Prec@1 27.344 (25.815)	Prec@5 57.031 (54.040)
Epoch: [1][3420/14090]	Time 0.743 (0.768)	Data 0.001 (0.002)	Loss 3.1964 (3.2665)	Prec@1 22.656 (25.818)	Prec@5 50.781 (54.045)
Epoch: [1][3430/14090]	Time 0.760 (0.768)	Data 0.001 (0.002)	Loss 3.4583 (3.2663)	Prec@1 21.875 (25.827)	Prec@5 48.438 (54.049)
Epoch: [1][3440/14090]	Time 0.730 (0.768)	Data 0.001 (0.002)	Loss 3.2967 (3.2662)	Prec@1 23.438 (25.827)	Prec@5 52.344 (54.051)
Epoch: [1][3450/14090]	Time 0.765 (0.768)	Data 0.001 (0.002)	Loss 3.1629 (3.2659)	Prec@1 26.562 (25.839)	Prec@5 60.156 (54.060)
Epoch: [1][3460/14090]	Time 0.754 (0.768)	Data 0.001 (0.002)	Loss 3.1853 (3.2660)	Prec@1 28.125 (25.839)	Prec@5 54.688 (54.059)
Epoch: [1][3470/14090]	Time 0.897 (0.768)	Data 0.001 (0.002)	Loss 3.5555 (3.2660)	Prec@1 23.438 (25.834)	Prec@5 49.219 (54.061)
Epoch: [1][3480/14090]	Time 0.750 (0.768)	Data 0.001 (0.002)	Loss 3.0051 (3.2654)	Prec@1 21.875 (25.837)	Prec@5 55.469 (54.071)
Epoch: [1][3490/14090]	Time 0.781 (0.768)	Data 0.001 (0.002)	Loss 3.2155 (3.2652)	Prec@1 28.906 (25.843)	Prec@5 55.469 (54.078)
Epoch: [1][3500/14090]	Time 0.757 (0.768)	Data 0.001 (0.002)	Loss 3.2985 (3.2651)	Prec@1 20.312 (25.842)	Prec@5 53.125 (54.083)
Epoch: [1][3510/14090]	Time 0.755 (0.768)	Data 0.001 (0.002)	Loss 3.0893 (3.2649)	Prec@1 28.125 (25.846)	Prec@5 59.375 (54.086)
Epoch: [1][3520/14090]	Time 0.746 (0.768)	Data 0.001 (0.002)	Loss 3.3539 (3.2648)	Prec@1 25.000 (25.850)	Prec@5 52.344 (54.088)
Epoch: [1][3530/14090]	Time 0.736 (0.768)	Data 0.001 (0.002)	Loss 3.2880 (3.2647)	Prec@1 23.438 (25.851)	Prec@5 57.031 (54.092)
Epoch: [1][3540/14090]	Time 0.779 (0.768)	Data 0.001 (0.002)	Loss 3.1433 (3.2646)	Prec@1 26.562 (25.847)	Prec@5 55.469 (54.095)
Epoch: [1][3550/14090]	Time 0.764 (0.768)	Data 0.001 (0.002)	Loss 3.1036 (3.2645)	Prec@1 29.688 (25.853)	Prec@5 56.250 (54.097)
Epoch: [1][3560/14090]	Time 0.781 (0.768)	Data 0.003 (0.002)	Loss 3.2447 (3.2644)	Prec@1 30.469 (25.855)	Prec@5 56.250 (54.101)
Epoch: [1][3570/14090]	Time 0.770 (0.768)	Data 0.001 (0.002)	Loss 3.1110 (3.2642)	Prec@1 26.562 (25.859)	Prec@5 54.688 (54.102)
Epoch: [1][3580/14090]	Time 0.755 (0.768)	Data 0.001 (0.002)	Loss 2.9442 (3.2638)	Prec@1 30.469 (25.866)	Prec@5 64.844 (54.106)
Epoch: [1][3590/14090]	Time 0.736 (0.768)	Data 0.001 (0.002)	Loss 2.8811 (3.2639)	Prec@1 26.562 (25.862)	Prec@5 60.156 (54.100)
Epoch: [1][3600/14090]	Time 0.745 (0.768)	Data 0.001 (0.002)	Loss 3.2665 (3.2639)	Prec@1 23.438 (25.865)	Prec@5 53.125 (54.097)
Epoch: [1][3610/14090]	Time 0.817 (0.768)	Data 0.001 (0.002)	Loss 3.2731 (3.2640)	Prec@1 27.344 (25.862)	Prec@5 56.250 (54.098)
Epoch: [1][3620/14090]	Time 0.759 (0.768)	Data 0.001 (0.002)	Loss 3.2598 (3.2637)	Prec@1 25.000 (25.861)	Prec@5 57.812 (54.105)
Epoch: [1][3630/14090]	Time 0.729 (0.768)	Data 0.001 (0.002)	Loss 3.2962 (3.2637)	Prec@1 28.906 (25.862)	Prec@5 56.250 (54.107)
Epoch: [1][3640/14090]	Time 0.741 (0.768)	Data 0.001 (0.002)	Loss 3.2452 (3.2634)	Prec@1 25.781 (25.864)	Prec@5 52.344 (54.109)
Epoch: [1][3650/14090]	Time 0.752 (0.768)	Data 0.001 (0.002)	Loss 3.1628 (3.2634)	Prec@1 27.344 (25.862)	Prec@5 53.906 (54.110)
Epoch: [1][3660/14090]	Time 0.747 (0.768)	Data 0.001 (0.002)	Loss 3.2432 (3.2634)	Prec@1 29.688 (25.861)	Prec@5 56.250 (54.105)
Epoch: [1][3670/14090]	Time 0.736 (0.768)	Data 0.001 (0.002)	Loss 3.1997 (3.2635)	Prec@1 27.344 (25.860)	Prec@5 57.812 (54.108)
Epoch: [1][3680/14090]	Time 0.957 (0.768)	Data 0.001 (0.002)	Loss 3.2399 (3.2633)	Prec@1 25.000 (25.860)	Prec@5 50.781 (54.108)
Epoch: [1][3690/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 3.1650 (3.2632)	Prec@1 26.562 (25.862)	Prec@5 54.688 (54.114)
Epoch: [1][3700/14090]	Time 0.767 (0.768)	Data 0.001 (0.002)	Loss 3.3254 (3.2630)	Prec@1 26.562 (25.866)	Prec@5 54.688 (54.119)
Epoch: [1][3710/14090]	Time 0.726 (0.768)	Data 0.001 (0.002)	Loss 3.1687 (3.2629)	Prec@1 23.438 (25.868)	Prec@5 57.031 (54.121)
Epoch: [1][3720/14090]	Time 0.752 (0.768)	Data 0.001 (0.002)	Loss 3.1767 (3.2624)	Prec@1 25.781 (25.878)	Prec@5 57.812 (54.133)
Epoch: [1][3730/14090]	Time 0.779 (0.768)	Data 0.001 (0.002)	Loss 3.1040 (3.2623)	Prec@1 29.688 (25.877)	Prec@5 60.156 (54.136)
Epoch: [1][3740/14090]	Time 0.776 (0.768)	Data 0.001 (0.002)	Loss 3.4463 (3.2624)	Prec@1 27.344 (25.875)	Prec@5 52.344 (54.136)
Epoch: [1][3750/14090]	Time 0.857 (0.768)	Data 0.001 (0.002)	Loss 3.0754 (3.2623)	Prec@1 30.469 (25.875)	Prec@5 57.812 (54.134)
Epoch: [1][3760/14090]	Time 0.762 (0.768)	Data 0.001 (0.002)	Loss 3.3239 (3.2621)	Prec@1 21.094 (25.883)	Prec@5 50.781 (54.142)
Epoch: [1][3770/14090]	Time 0.764 (0.768)	Data 0.001 (0.002)	Loss 3.2516 (3.2618)	Prec@1 27.344 (25.885)	Prec@5 56.250 (54.148)
Epoch: [1][3780/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 3.3510 (3.2616)	Prec@1 26.562 (25.890)	Prec@5 52.344 (54.153)
Epoch: [1][3790/14090]	Time 0.765 (0.768)	Data 0.001 (0.002)	Loss 3.5049 (3.2616)	Prec@1 18.750 (25.891)	Prec@5 45.312 (54.153)
Epoch: [1][3800/14090]	Time 0.731 (0.768)	Data 0.001 (0.002)	Loss 3.6257 (3.2616)	Prec@1 27.344 (25.894)	Prec@5 48.438 (54.154)
Epoch: [1][3810/14090]	Time 0.754 (0.768)	Data 0.001 (0.002)	Loss 3.4589 (3.2614)	Prec@1 28.906 (25.895)	Prec@5 56.250 (54.155)
Epoch: [1][3820/14090]	Time 0.813 (0.768)	Data 0.001 (0.002)	Loss 3.1340 (3.2616)	Prec@1 32.031 (25.894)	Prec@5 52.344 (54.151)
Epoch: [1][3830/14090]	Time 0.760 (0.768)	Data 0.001 (0.002)	Loss 2.8391 (3.2612)	Prec@1 35.156 (25.900)	Prec@5 59.375 (54.160)
Epoch: [1][3840/14090]	Time 0.738 (0.768)	Data 0.001 (0.002)	Loss 3.2809 (3.2612)	Prec@1 25.000 (25.903)	Prec@5 54.688 (54.160)
Epoch: [1][3850/14090]	Time 0.754 (0.768)	Data 0.001 (0.002)	Loss 3.4093 (3.2611)	Prec@1 21.875 (25.904)	Prec@5 54.688 (54.164)
Epoch: [1][3860/14090]	Time 0.750 (0.768)	Data 0.001 (0.002)	Loss 3.0679 (3.2610)	Prec@1 27.344 (25.905)	Prec@5 58.594 (54.170)
Epoch: [1][3870/14090]	Time 0.770 (0.768)	Data 0.001 (0.002)	Loss 3.1426 (3.2609)	Prec@1 26.562 (25.901)	Prec@5 56.250 (54.167)
Epoch: [1][3880/14090]	Time 0.734 (0.768)	Data 0.001 (0.002)	Loss 3.3414 (3.2609)	Prec@1 25.000 (25.900)	Prec@5 50.000 (54.166)
Epoch: [1][3890/14090]	Time 0.842 (0.768)	Data 0.001 (0.002)	Loss 3.3197 (3.2610)	Prec@1 20.312 (25.900)	Prec@5 51.562 (54.161)
Epoch: [1][3900/14090]	Time 0.753 (0.768)	Data 0.001 (0.002)	Loss 3.0207 (3.2608)	Prec@1 31.250 (25.904)	Prec@5 58.594 (54.164)
Epoch: [1][3910/14090]	Time 0.767 (0.768)	Data 0.001 (0.002)	Loss 3.1576 (3.2606)	Prec@1 28.906 (25.908)	Prec@5 54.688 (54.166)
Epoch: [1][3920/14090]	Time 0.765 (0.768)	Data 0.001 (0.002)	Loss 2.6558 (3.2604)	Prec@1 34.375 (25.910)	Prec@5 62.500 (54.166)
Epoch: [1][3930/14090]	Time 0.758 (0.768)	Data 0.001 (0.002)	Loss 3.0373 (3.2601)	Prec@1 32.031 (25.918)	Prec@5 60.938 (54.176)
Epoch: [1][3940/14090]	Time 0.732 (0.768)	Data 0.001 (0.002)	Loss 3.3105 (3.2598)	Prec@1 25.000 (25.918)	Prec@5 53.906 (54.182)
Epoch: [1][3950/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 3.1997 (3.2599)	Prec@1 26.562 (25.920)	Prec@5 54.688 (54.182)
Epoch: [1][3960/14090]	Time 0.841 (0.768)	Data 0.001 (0.002)	Loss 3.1224 (3.2598)	Prec@1 29.688 (25.922)	Prec@5 50.000 (54.178)
Epoch: [1][3970/14090]	Time 0.737 (0.768)	Data 0.001 (0.002)	Loss 3.1844 (3.2596)	Prec@1 21.875 (25.923)	Prec@5 58.594 (54.183)
Epoch: [1][3980/14090]	Time 0.764 (0.768)	Data 0.001 (0.002)	Loss 3.3014 (3.2594)	Prec@1 27.344 (25.925)	Prec@5 53.906 (54.190)
Epoch: [1][3990/14090]	Time 0.768 (0.768)	Data 0.001 (0.002)	Loss 3.0122 (3.2592)	Prec@1 29.688 (25.929)	Prec@5 60.156 (54.197)
Epoch: [1][4000/14090]	Time 0.727 (0.768)	Data 0.001 (0.002)	Loss 2.9797 (3.2589)	Prec@1 27.344 (25.934)	Prec@5 64.062 (54.203)
Epoch: [1][4010/14090]	Time 0.759 (0.768)	Data 0.001 (0.002)	Loss 3.0656 (3.2585)	Prec@1 29.688 (25.940)	Prec@5 60.156 (54.210)
Epoch: [1][4020/14090]	Time 0.754 (0.768)	Data 0.001 (0.002)	Loss 3.3916 (3.2583)	Prec@1 27.344 (25.945)	Prec@5 54.688 (54.213)
Epoch: [1][4030/14090]	Time 0.836 (0.768)	Data 0.001 (0.002)	Loss 2.9516 (3.2580)	Prec@1 30.469 (25.946)	Prec@5 57.812 (54.216)
Epoch: [1][4040/14090]	Time 0.750 (0.768)	Data 0.001 (0.002)	Loss 3.2391 (3.2579)	Prec@1 21.094 (25.947)	Prec@5 49.219 (54.215)
Epoch: [1][4050/14090]	Time 0.760 (0.768)	Data 0.001 (0.002)	Loss 3.1435 (3.2576)	Prec@1 29.688 (25.952)	Prec@5 52.344 (54.223)
Epoch: [1][4060/14090]	Time 0.732 (0.768)	Data 0.001 (0.002)	Loss 3.1581 (3.2575)	Prec@1 26.562 (25.953)	Prec@5 59.375 (54.224)
Epoch: [1][4070/14090]	Time 0.744 (0.768)	Data 0.001 (0.002)	Loss 3.2580 (3.2572)	Prec@1 19.531 (25.955)	Prec@5 56.250 (54.228)
Epoch: [1][4080/14090]	Time 0.743 (0.768)	Data 0.001 (0.002)	Loss 3.3047 (3.2572)	Prec@1 26.562 (25.953)	Prec@5 53.906 (54.230)
Epoch: [1][4090/14090]	Time 0.748 (0.768)	Data 0.001 (0.002)	Loss 3.4559 (3.2572)	Prec@1 26.562 (25.954)	Prec@5 51.562 (54.230)
Epoch: [1][4100/14090]	Time 0.791 (0.768)	Data 0.001 (0.002)	Loss 3.2485 (3.2572)	Prec@1 23.438 (25.957)	Prec@5 56.250 (54.233)
Epoch: [1][4110/14090]	Time 0.736 (0.768)	Data 0.001 (0.002)	Loss 3.3427 (3.2569)	Prec@1 28.906 (25.960)	Prec@5 52.344 (54.237)
Epoch: [1][4120/14090]	Time 0.770 (0.768)	Data 0.001 (0.002)	Loss 3.0597 (3.2567)	Prec@1 32.031 (25.963)	Prec@5 54.688 (54.241)
Epoch: [1][4130/14090]	Time 0.768 (0.768)	Data 0.001 (0.002)	Loss 3.2489 (3.2566)	Prec@1 25.781 (25.966)	Prec@5 58.594 (54.246)
Epoch: [1][4140/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 3.2151 (3.2567)	Prec@1 20.312 (25.964)	Prec@5 54.688 (54.246)
Epoch: [1][4150/14090]	Time 0.774 (0.768)	Data 0.001 (0.002)	Loss 3.2161 (3.2565)	Prec@1 26.562 (25.962)	Prec@5 53.906 (54.247)
Epoch: [1][4160/14090]	Time 0.757 (0.768)	Data 0.001 (0.002)	Loss 3.1916 (3.2563)	Prec@1 21.094 (25.963)	Prec@5 55.469 (54.249)
Epoch: [1][4170/14090]	Time 0.847 (0.768)	Data 0.001 (0.002)	Loss 3.3936 (3.2562)	Prec@1 23.438 (25.964)	Prec@5 48.438 (54.252)
Epoch: [1][4180/14090]	Time 0.738 (0.768)	Data 0.001 (0.002)	Loss 3.0856 (3.2563)	Prec@1 28.906 (25.966)	Prec@5 58.594 (54.248)
Epoch: [1][4190/14090]	Time 0.780 (0.768)	Data 0.001 (0.002)	Loss 3.2635 (3.2559)	Prec@1 29.688 (25.973)	Prec@5 52.344 (54.257)
Epoch: [1][4200/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 2.8593 (3.2560)	Prec@1 32.031 (25.970)	Prec@5 66.406 (54.255)
Epoch: [1][4210/14090]	Time 0.747 (0.768)	Data 0.001 (0.002)	Loss 3.1457 (3.2560)	Prec@1 28.906 (25.974)	Prec@5 57.812 (54.255)
Epoch: [1][4220/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 3.4001 (3.2558)	Prec@1 21.094 (25.976)	Prec@5 51.562 (54.258)
Epoch: [1][4230/14090]	Time 0.749 (0.768)	Data 0.001 (0.002)	Loss 3.0197 (3.2556)	Prec@1 30.469 (25.980)	Prec@5 59.375 (54.264)
Epoch: [1][4240/14090]	Time 0.966 (0.768)	Data 0.001 (0.002)	Loss 3.1901 (3.2554)	Prec@1 32.031 (25.983)	Prec@5 60.156 (54.266)
Epoch: [1][4250/14090]	Time 0.752 (0.768)	Data 0.001 (0.002)	Loss 3.2373 (3.2553)	Prec@1 28.125 (25.985)	Prec@5 53.125 (54.267)
Epoch: [1][4260/14090]	Time 0.757 (0.768)	Data 0.001 (0.002)	Loss 3.3381 (3.2552)	Prec@1 28.125 (25.987)	Prec@5 54.688 (54.275)
Epoch: [1][4270/14090]	Time 0.764 (0.768)	Data 0.001 (0.002)	Loss 3.4446 (3.2551)	Prec@1 21.875 (25.987)	Prec@5 50.000 (54.280)
Epoch: [1][4280/14090]	Time 0.778 (0.768)	Data 0.003 (0.002)	Loss 3.2001 (3.2549)	Prec@1 28.125 (25.990)	Prec@5 56.250 (54.282)
Epoch: [1][4290/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 3.3063 (3.2548)	Prec@1 25.781 (25.994)	Prec@5 50.781 (54.282)
Epoch: [1][4300/14090]	Time 0.745 (0.768)	Data 0.001 (0.002)	Loss 3.2028 (3.2547)	Prec@1 27.344 (25.996)	Prec@5 59.375 (54.288)
Epoch: [1][4310/14090]	Time 0.847 (0.768)	Data 0.001 (0.002)	Loss 3.4947 (3.2547)	Prec@1 26.562 (25.997)	Prec@5 49.219 (54.286)
Epoch: [1][4320/14090]	Time 0.749 (0.768)	Data 0.001 (0.002)	Loss 3.1428 (3.2545)	Prec@1 28.125 (25.995)	Prec@5 59.375 (54.294)
Epoch: [1][4330/14090]	Time 0.770 (0.768)	Data 0.001 (0.002)	Loss 3.4076 (3.2544)	Prec@1 24.219 (25.996)	Prec@5 51.562 (54.293)
Epoch: [1][4340/14090]	Time 0.746 (0.768)	Data 0.001 (0.002)	Loss 3.1334 (3.2544)	Prec@1 28.906 (25.996)	Prec@5 52.344 (54.289)
Epoch: [1][4350/14090]	Time 0.779 (0.768)	Data 0.001 (0.002)	Loss 3.4565 (3.2545)	Prec@1 21.875 (25.994)	Prec@5 44.531 (54.285)
Epoch: [1][4360/14090]	Time 0.758 (0.768)	Data 0.001 (0.002)	Loss 3.1451 (3.2543)	Prec@1 23.438 (25.993)	Prec@5 56.250 (54.293)
Epoch: [1][4370/14090]	Time 0.756 (0.768)	Data 0.001 (0.002)	Loss 3.4791 (3.2543)	Prec@1 17.188 (25.991)	Prec@5 45.312 (54.293)
Epoch: [1][4380/14090]	Time 0.791 (0.768)	Data 0.001 (0.002)	Loss 3.1363 (3.2542)	Prec@1 21.094 (25.996)	Prec@5 56.250 (54.298)
Epoch: [1][4390/14090]	Time 0.734 (0.768)	Data 0.001 (0.002)	Loss 3.3067 (3.2541)	Prec@1 24.219 (25.997)	Prec@5 51.562 (54.301)
Epoch: [1][4400/14090]	Time 0.748 (0.768)	Data 0.001 (0.002)	Loss 3.2451 (3.2541)	Prec@1 29.688 (25.995)	Prec@5 56.250 (54.299)
Epoch: [1][4410/14090]	Time 0.770 (0.768)	Data 0.001 (0.002)	Loss 3.0409 (3.2538)	Prec@1 29.688 (25.999)	Prec@5 60.938 (54.305)
Epoch: [1][4420/14090]	Time 0.752 (0.768)	Data 0.001 (0.002)	Loss 2.9871 (3.2538)	Prec@1 26.562 (25.999)	Prec@5 54.688 (54.302)
Epoch: [1][4430/14090]	Time 0.762 (0.768)	Data 0.001 (0.002)	Loss 3.3321 (3.2537)	Prec@1 19.531 (25.999)	Prec@5 54.688 (54.304)
Epoch: [1][4440/14090]	Time 0.763 (0.768)	Data 0.001 (0.002)	Loss 3.4358 (3.2535)	Prec@1 25.781 (26.004)	Prec@5 48.438 (54.309)
Epoch: [1][4450/14090]	Time 0.816 (0.768)	Data 0.001 (0.002)	Loss 3.2906 (3.2534)	Prec@1 32.031 (26.006)	Prec@5 55.469 (54.315)
Epoch: [1][4460/14090]	Time 0.739 (0.768)	Data 0.001 (0.002)	Loss 3.3503 (3.2531)	Prec@1 24.219 (26.014)	Prec@5 53.906 (54.322)
Epoch: [1][4470/14090]	Time 0.756 (0.768)	Data 0.001 (0.002)	Loss 3.2172 (3.2530)	Prec@1 28.125 (26.014)	Prec@5 60.156 (54.328)
Epoch: [1][4480/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 3.1442 (3.2529)	Prec@1 32.031 (26.019)	Prec@5 57.812 (54.329)
Epoch: [1][4490/14090]	Time 0.731 (0.768)	Data 0.001 (0.002)	Loss 3.0794 (3.2529)	Prec@1 26.562 (26.019)	Prec@5 55.469 (54.327)
Epoch: [1][4500/14090]	Time 0.734 (0.768)	Data 0.001 (0.002)	Loss 3.3736 (3.2527)	Prec@1 22.656 (26.023)	Prec@5 53.906 (54.333)
Epoch: [1][4510/14090]	Time 0.745 (0.768)	Data 0.001 (0.002)	Loss 2.9847 (3.2526)	Prec@1 28.906 (26.026)	Prec@5 55.469 (54.331)
Epoch: [1][4520/14090]	Time 0.796 (0.768)	Data 0.001 (0.002)	Loss 3.4440 (3.2524)	Prec@1 29.688 (26.030)	Prec@5 53.125 (54.337)
Epoch: [1][4530/14090]	Time 0.752 (0.768)	Data 0.001 (0.002)	Loss 3.0112 (3.2524)	Prec@1 32.031 (26.034)	Prec@5 56.250 (54.335)
Epoch: [1][4540/14090]	Time 0.729 (0.768)	Data 0.001 (0.002)	Loss 3.5451 (3.2522)	Prec@1 18.750 (26.036)	Prec@5 49.219 (54.336)
Epoch: [1][4550/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 3.1546 (3.2522)	Prec@1 27.344 (26.040)	Prec@5 56.250 (54.335)
Epoch: [1][4560/14090]	Time 0.749 (0.768)	Data 0.001 (0.002)	Loss 3.0407 (3.2522)	Prec@1 34.375 (26.044)	Prec@5 58.594 (54.334)
Epoch: [1][4570/14090]	Time 0.727 (0.768)	Data 0.001 (0.002)	Loss 3.1336 (3.2522)	Prec@1 24.219 (26.043)	Prec@5 57.812 (54.335)
Epoch: [1][4580/14090]	Time 0.736 (0.768)	Data 0.001 (0.002)	Loss 3.3991 (3.2521)	Prec@1 22.656 (26.045)	Prec@5 54.688 (54.338)
Epoch: [1][4590/14090]	Time 0.783 (0.768)	Data 0.001 (0.002)	Loss 3.3915 (3.2521)	Prec@1 23.438 (26.049)	Prec@5 49.219 (54.340)
Epoch: [1][4600/14090]	Time 0.749 (0.768)	Data 0.001 (0.002)	Loss 3.2829 (3.2520)	Prec@1 26.562 (26.051)	Prec@5 54.688 (54.338)
Epoch: [1][4610/14090]	Time 0.775 (0.768)	Data 0.001 (0.002)	Loss 3.2751 (3.2519)	Prec@1 25.781 (26.053)	Prec@5 52.344 (54.342)
Epoch: [1][4620/14090]	Time 0.757 (0.768)	Data 0.001 (0.002)	Loss 2.8431 (3.2517)	Prec@1 35.156 (26.060)	Prec@5 62.500 (54.344)
Epoch: [1][4630/14090]	Time 0.768 (0.768)	Data 0.001 (0.002)	Loss 3.1800 (3.2516)	Prec@1 26.562 (26.063)	Prec@5 57.812 (54.349)
Epoch: [1][4640/14090]	Time 0.766 (0.768)	Data 0.001 (0.002)	Loss 3.1407 (3.2513)	Prec@1 31.250 (26.069)	Prec@5 53.906 (54.353)
Epoch: [1][4650/14090]	Time 0.788 (0.768)	Data 0.001 (0.002)	Loss 3.2463 (3.2512)	Prec@1 28.906 (26.069)	Prec@5 54.688 (54.356)
Epoch: [1][4660/14090]	Time 0.877 (0.768)	Data 0.001 (0.002)	Loss 2.9357 (3.2511)	Prec@1 25.000 (26.074)	Prec@5 57.031 (54.358)
Epoch: [1][4670/14090]	Time 0.762 (0.768)	Data 0.001 (0.002)	Loss 3.3120 (3.2510)	Prec@1 25.781 (26.074)	Prec@5 51.562 (54.356)
Epoch: [1][4680/14090]	Time 0.756 (0.768)	Data 0.001 (0.002)	Loss 3.3059 (3.2508)	Prec@1 25.781 (26.076)	Prec@5 53.125 (54.360)
Epoch: [1][4690/14090]	Time 0.755 (0.768)	Data 0.001 (0.002)	Loss 3.2622 (3.2509)	Prec@1 27.344 (26.074)	Prec@5 57.812 (54.361)
Epoch: [1][4700/14090]	Time 0.763 (0.768)	Data 0.001 (0.002)	Loss 3.2677 (3.2510)	Prec@1 28.125 (26.075)	Prec@5 56.250 (54.361)
Epoch: [1][4710/14090]	Time 0.775 (0.768)	Data 0.001 (0.002)	Loss 3.3575 (3.2508)	Prec@1 24.219 (26.078)	Prec@5 51.562 (54.368)
Epoch: [1][4720/14090]	Time 0.728 (0.768)	Data 0.001 (0.002)	Loss 3.3548 (3.2508)	Prec@1 25.781 (26.075)	Prec@5 53.125 (54.369)
Epoch: [1][4730/14090]	Time 0.791 (0.768)	Data 0.001 (0.002)	Loss 3.2401 (3.2507)	Prec@1 25.781 (26.079)	Prec@5 54.688 (54.373)
Epoch: [1][4740/14090]	Time 0.744 (0.768)	Data 0.001 (0.002)	Loss 3.2347 (3.2506)	Prec@1 25.781 (26.081)	Prec@5 58.594 (54.373)
Epoch: [1][4750/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 3.2231 (3.2505)	Prec@1 29.688 (26.082)	Prec@5 57.031 (54.378)
Epoch: [1][4760/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 3.4366 (3.2503)	Prec@1 24.219 (26.086)	Prec@5 46.875 (54.381)
Epoch: [1][4770/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 3.1144 (3.2499)	Prec@1 26.562 (26.090)	Prec@5 59.375 (54.390)
Epoch: [1][4780/14090]	Time 0.760 (0.767)	Data 0.001 (0.002)	Loss 3.0913 (3.2498)	Prec@1 31.250 (26.091)	Prec@5 57.031 (54.389)
Epoch: [1][4790/14090]	Time 0.763 (0.767)	Data 0.001 (0.002)	Loss 3.1951 (3.2496)	Prec@1 25.781 (26.091)	Prec@5 54.688 (54.392)
Epoch: [1][4800/14090]	Time 0.827 (0.767)	Data 0.001 (0.002)	Loss 3.1334 (3.2496)	Prec@1 27.344 (26.091)	Prec@5 59.375 (54.393)
Epoch: [1][4810/14090]	Time 0.760 (0.767)	Data 0.002 (0.002)	Loss 3.2034 (3.2494)	Prec@1 21.875 (26.095)	Prec@5 54.688 (54.397)
Epoch: [1][4820/14090]	Time 0.760 (0.767)	Data 0.001 (0.002)	Loss 2.9159 (3.2493)	Prec@1 29.688 (26.096)	Prec@5 64.844 (54.402)
Epoch: [1][4830/14090]	Time 0.728 (0.767)	Data 0.001 (0.002)	Loss 3.2929 (3.2491)	Prec@1 24.219 (26.100)	Prec@5 57.031 (54.408)
Epoch: [1][4840/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 3.3520 (3.2490)	Prec@1 28.125 (26.104)	Prec@5 49.219 (54.407)
Epoch: [1][4850/14090]	Time 0.769 (0.767)	Data 0.001 (0.002)	Loss 3.3590 (3.2490)	Prec@1 27.344 (26.104)	Prec@5 53.125 (54.407)
Epoch: [1][4860/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 3.5768 (3.2489)	Prec@1 21.094 (26.105)	Prec@5 50.781 (54.410)
Epoch: [1][4870/14090]	Time 0.900 (0.767)	Data 0.001 (0.002)	Loss 3.3069 (3.2487)	Prec@1 24.219 (26.111)	Prec@5 50.781 (54.411)
Epoch: [1][4880/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 3.3050 (3.2486)	Prec@1 22.656 (26.114)	Prec@5 53.125 (54.413)
Epoch: [1][4890/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 3.0454 (3.2485)	Prec@1 27.344 (26.116)	Prec@5 60.938 (54.419)
Epoch: [1][4900/14090]	Time 0.767 (0.767)	Data 0.001 (0.002)	Loss 3.0718 (3.2482)	Prec@1 29.688 (26.119)	Prec@5 63.281 (54.426)
Epoch: [1][4910/14090]	Time 0.767 (0.767)	Data 0.001 (0.002)	Loss 3.1747 (3.2481)	Prec@1 28.906 (26.119)	Prec@5 60.156 (54.432)
Epoch: [1][4920/14090]	Time 0.768 (0.767)	Data 0.001 (0.002)	Loss 3.3388 (3.2478)	Prec@1 21.875 (26.120)	Prec@5 56.250 (54.439)
Epoch: [1][4930/14090]	Time 0.761 (0.767)	Data 0.001 (0.002)	Loss 3.1040 (3.2478)	Prec@1 25.000 (26.123)	Prec@5 52.344 (54.438)
Epoch: [1][4940/14090]	Time 0.943 (0.767)	Data 0.001 (0.002)	Loss 2.6634 (3.2476)	Prec@1 40.625 (26.125)	Prec@5 70.312 (54.444)
Epoch: [1][4950/14090]	Time 0.795 (0.767)	Data 0.001 (0.002)	Loss 3.3537 (3.2474)	Prec@1 22.656 (26.126)	Prec@5 48.438 (54.450)
Epoch: [1][4960/14090]	Time 0.768 (0.767)	Data 0.001 (0.002)	Loss 3.3045 (3.2473)	Prec@1 28.125 (26.127)	Prec@5 57.031 (54.451)
Epoch: [1][4970/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 3.1914 (3.2471)	Prec@1 25.781 (26.127)	Prec@5 52.344 (54.456)
Epoch: [1][4980/14090]	Time 0.781 (0.767)	Data 0.001 (0.002)	Loss 3.0377 (3.2468)	Prec@1 34.375 (26.133)	Prec@5 62.500 (54.463)
Epoch: [1][4990/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 3.3960 (3.2466)	Prec@1 22.656 (26.135)	Prec@5 51.562 (54.467)
Epoch: [1][5000/14090]	Time 0.774 (0.767)	Data 0.001 (0.002)	Loss 3.1209 (3.2466)	Prec@1 31.250 (26.135)	Prec@5 54.688 (54.463)
Epoch: [1][5010/14090]	Time 0.789 (0.767)	Data 0.001 (0.002)	Loss 3.2474 (3.2466)	Prec@1 27.344 (26.132)	Prec@5 53.125 (54.464)
Epoch: [1][5020/14090]	Time 0.761 (0.767)	Data 0.001 (0.002)	Loss 2.9999 (3.2465)	Prec@1 28.906 (26.135)	Prec@5 59.375 (54.465)
Epoch: [1][5030/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 3.1362 (3.2464)	Prec@1 25.781 (26.136)	Prec@5 53.125 (54.467)
Epoch: [1][5040/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 3.1256 (3.2464)	Prec@1 25.781 (26.134)	Prec@5 56.250 (54.469)
Epoch: [1][5050/14090]	Time 0.768 (0.767)	Data 0.001 (0.002)	Loss 3.2558 (3.2463)	Prec@1 21.094 (26.134)	Prec@5 50.000 (54.470)
Epoch: [1][5060/14090]	Time 0.776 (0.767)	Data 0.001 (0.002)	Loss 3.3198 (3.2461)	Prec@1 25.781 (26.133)	Prec@5 50.000 (54.467)
Epoch: [1][5070/14090]	Time 0.782 (0.767)	Data 0.001 (0.002)	Loss 3.3395 (3.2460)	Prec@1 25.781 (26.137)	Prec@5 52.344 (54.472)
Epoch: [1][5080/14090]	Time 0.832 (0.767)	Data 0.001 (0.002)	Loss 3.0333 (3.2457)	Prec@1 29.688 (26.140)	Prec@5 62.500 (54.478)
Epoch: [1][5090/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 2.9201 (3.2455)	Prec@1 32.812 (26.146)	Prec@5 60.156 (54.484)
Epoch: [1][5100/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 3.2208 (3.2453)	Prec@1 25.781 (26.151)	Prec@5 49.219 (54.489)
Epoch: [1][5110/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 3.3159 (3.2452)	Prec@1 25.000 (26.153)	Prec@5 53.906 (54.490)
Epoch: [1][5120/14090]	Time 0.762 (0.767)	Data 0.001 (0.002)	Loss 2.9542 (3.2451)	Prec@1 30.469 (26.154)	Prec@5 61.719 (54.492)
Epoch: [1][5130/14090]	Time 0.728 (0.767)	Data 0.001 (0.002)	Loss 2.9698 (3.2449)	Prec@1 32.031 (26.156)	Prec@5 54.688 (54.494)
Epoch: [1][5140/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 2.8115 (3.2447)	Prec@1 35.938 (26.160)	Prec@5 63.281 (54.502)
Epoch: [1][5150/14090]	Time 0.847 (0.767)	Data 0.001 (0.001)	Loss 3.0472 (3.2445)	Prec@1 27.344 (26.163)	Prec@5 59.375 (54.505)
Epoch: [1][5160/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 3.2596 (3.2444)	Prec@1 25.781 (26.168)	Prec@5 54.688 (54.507)
Epoch: [1][5170/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 3.1376 (3.2444)	Prec@1 28.125 (26.167)	Prec@5 56.250 (54.507)
Epoch: [1][5180/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 3.2422 (3.2444)	Prec@1 26.562 (26.169)	Prec@5 55.469 (54.510)
Epoch: [1][5190/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 3.1849 (3.2443)	Prec@1 29.688 (26.171)	Prec@5 55.469 (54.513)
Epoch: [1][5200/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 3.0493 (3.2441)	Prec@1 32.812 (26.178)	Prec@5 56.250 (54.519)
Epoch: [1][5210/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 2.8759 (3.2439)	Prec@1 36.719 (26.179)	Prec@5 55.469 (54.521)
Epoch: [1][5220/14090]	Time 0.816 (0.767)	Data 0.001 (0.001)	Loss 2.9247 (3.2437)	Prec@1 35.156 (26.186)	Prec@5 67.969 (54.529)
Epoch: [1][5230/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 3.0935 (3.2436)	Prec@1 24.219 (26.187)	Prec@5 58.594 (54.533)
Epoch: [1][5240/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 3.5679 (3.2437)	Prec@1 21.875 (26.184)	Prec@5 51.562 (54.531)
Epoch: [1][5250/14090]	Time 0.756 (0.768)	Data 0.001 (0.001)	Loss 3.2281 (3.2435)	Prec@1 30.469 (26.187)	Prec@5 54.688 (54.534)
Epoch: [1][5260/14090]	Time 0.779 (0.767)	Data 0.001 (0.001)	Loss 3.2007 (3.2432)	Prec@1 25.781 (26.189)	Prec@5 53.125 (54.540)
Epoch: [1][5270/14090]	Time 0.761 (0.768)	Data 0.001 (0.001)	Loss 3.0307 (3.2428)	Prec@1 28.906 (26.195)	Prec@5 57.031 (54.548)
Epoch: [1][5280/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 3.2728 (3.2427)	Prec@1 27.344 (26.198)	Prec@5 56.250 (54.550)
Epoch: [1][5290/14090]	Time 0.814 (0.768)	Data 0.001 (0.001)	Loss 3.0783 (3.2426)	Prec@1 31.250 (26.199)	Prec@5 57.812 (54.551)
Epoch: [1][5300/14090]	Time 0.755 (0.768)	Data 0.001 (0.001)	Loss 3.1956 (3.2424)	Prec@1 25.781 (26.202)	Prec@5 53.906 (54.553)
Epoch: [1][5310/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 3.3803 (3.2424)	Prec@1 22.656 (26.199)	Prec@5 54.688 (54.553)
Epoch: [1][5320/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 3.1705 (3.2422)	Prec@1 27.344 (26.202)	Prec@5 57.812 (54.555)
Epoch: [1][5330/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 3.2331 (3.2420)	Prec@1 26.562 (26.202)	Prec@5 51.562 (54.558)
Epoch: [1][5340/14090]	Time 0.766 (0.767)	Data 0.001 (0.001)	Loss 3.4171 (3.2418)	Prec@1 22.656 (26.204)	Prec@5 53.125 (54.562)
Epoch: [1][5350/14090]	Time 0.780 (0.767)	Data 0.001 (0.001)	Loss 3.4506 (3.2418)	Prec@1 21.875 (26.204)	Prec@5 51.562 (54.567)
Epoch: [1][5360/14090]	Time 0.828 (0.767)	Data 0.001 (0.001)	Loss 3.0218 (3.2417)	Prec@1 32.812 (26.208)	Prec@5 61.719 (54.569)
Epoch: [1][5370/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 3.0335 (3.2418)	Prec@1 28.906 (26.207)	Prec@5 54.688 (54.566)
Epoch: [1][5380/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 3.1521 (3.2417)	Prec@1 25.781 (26.209)	Prec@5 57.812 (54.569)
Epoch: [1][5390/14090]	Time 0.765 (0.767)	Data 0.001 (0.001)	Loss 2.8625 (3.2416)	Prec@1 24.219 (26.210)	Prec@5 66.406 (54.572)
Epoch: [1][5400/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 3.1300 (3.2413)	Prec@1 24.219 (26.215)	Prec@5 55.469 (54.578)
Epoch: [1][5410/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 3.2757 (3.2412)	Prec@1 24.219 (26.215)	Prec@5 52.344 (54.582)
Epoch: [1][5420/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 3.2675 (3.2412)	Prec@1 23.438 (26.215)	Prec@5 52.344 (54.581)
Epoch: [1][5430/14090]	Time 0.853 (0.767)	Data 0.001 (0.001)	Loss 2.8676 (3.2412)	Prec@1 38.281 (26.219)	Prec@5 64.062 (54.583)
Epoch: [1][5440/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 3.1408 (3.2410)	Prec@1 30.469 (26.223)	Prec@5 54.688 (54.586)
Epoch: [1][5450/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 3.1578 (3.2410)	Prec@1 27.344 (26.218)	Prec@5 54.688 (54.584)
Epoch: [1][5460/14090]	Time 0.773 (0.767)	Data 0.001 (0.001)	Loss 3.0516 (3.2408)	Prec@1 26.562 (26.220)	Prec@5 60.156 (54.586)
Epoch: [1][5470/14090]	Time 0.779 (0.767)	Data 0.001 (0.001)	Loss 3.0809 (3.2407)	Prec@1 32.031 (26.223)	Prec@5 64.844 (54.591)
Epoch: [1][5480/14090]	Time 0.770 (0.767)	Data 0.001 (0.001)	Loss 3.2577 (3.2404)	Prec@1 25.000 (26.225)	Prec@5 57.031 (54.596)
Epoch: [1][5490/14090]	Time 0.751 (0.767)	Data 0.002 (0.001)	Loss 3.0902 (3.2402)	Prec@1 32.812 (26.229)	Prec@5 61.719 (54.604)
Epoch: [1][5500/14090]	Time 0.852 (0.767)	Data 0.001 (0.001)	Loss 3.4371 (3.2399)	Prec@1 26.562 (26.233)	Prec@5 52.344 (54.611)
Epoch: [1][5510/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 3.2016 (3.2398)	Prec@1 28.125 (26.234)	Prec@5 53.906 (54.613)
Epoch: [1][5520/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 3.0200 (3.2398)	Prec@1 29.688 (26.231)	Prec@5 60.156 (54.614)
Epoch: [1][5530/14090]	Time 0.768 (0.767)	Data 0.001 (0.001)	Loss 2.9669 (3.2396)	Prec@1 32.031 (26.233)	Prec@5 56.250 (54.617)
Epoch: [1][5540/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 3.3162 (3.2394)	Prec@1 25.000 (26.235)	Prec@5 53.125 (54.620)
Epoch: [1][5550/14090]	Time 0.763 (0.767)	Data 0.001 (0.001)	Loss 3.0417 (3.2393)	Prec@1 32.812 (26.238)	Prec@5 57.812 (54.624)
Epoch: [1][5560/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 3.2359 (3.2392)	Prec@1 26.562 (26.239)	Prec@5 58.594 (54.626)
Epoch: [1][5570/14090]	Time 0.895 (0.767)	Data 0.001 (0.001)	Loss 3.4884 (3.2391)	Prec@1 25.781 (26.239)	Prec@5 50.781 (54.627)
Epoch: [1][5580/14090]	Time 0.766 (0.767)	Data 0.001 (0.001)	Loss 3.4647 (3.2391)	Prec@1 21.094 (26.241)	Prec@5 56.250 (54.629)
Epoch: [1][5590/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 3.1756 (3.2389)	Prec@1 26.562 (26.246)	Prec@5 57.812 (54.632)
Epoch: [1][5600/14090]	Time 0.772 (0.767)	Data 0.001 (0.001)	Loss 3.2668 (3.2388)	Prec@1 25.781 (26.247)	Prec@5 50.781 (54.633)
Epoch: [1][5610/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 3.5587 (3.2387)	Prec@1 21.875 (26.249)	Prec@5 46.875 (54.637)
Epoch: [1][5620/14090]	Time 0.736 (0.767)	Data 0.000 (0.001)	Loss 3.2143 (3.2385)	Prec@1 28.125 (26.253)	Prec@5 59.375 (54.642)
Epoch: [1][5630/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 2.9762 (3.2384)	Prec@1 33.594 (26.252)	Prec@5 57.812 (54.641)
Epoch: [1][5640/14090]	Time 0.832 (0.767)	Data 0.001 (0.001)	Loss 3.1581 (3.2382)	Prec@1 28.125 (26.256)	Prec@5 59.375 (54.643)
Epoch: [1][5650/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 3.2286 (3.2382)	Prec@1 25.000 (26.256)	Prec@5 57.031 (54.642)
Epoch: [1][5660/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 3.3989 (3.2379)	Prec@1 23.438 (26.259)	Prec@5 49.219 (54.647)
Epoch: [1][5670/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 3.1242 (3.2377)	Prec@1 21.875 (26.264)	Prec@5 52.344 (54.652)
Epoch: [1][5680/14090]	Time 0.783 (0.767)	Data 0.001 (0.001)	Loss 3.0909 (3.2374)	Prec@1 26.562 (26.265)	Prec@5 57.812 (54.657)
Epoch: [1][5690/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 3.4734 (3.2375)	Prec@1 25.781 (26.266)	Prec@5 46.875 (54.656)
Epoch: [1][5700/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 3.2624 (3.2374)	Prec@1 25.000 (26.269)	Prec@5 53.125 (54.657)
Epoch: [1][5710/14090]	Time 0.833 (0.767)	Data 0.001 (0.001)	Loss 3.5477 (3.2374)	Prec@1 18.750 (26.267)	Prec@5 46.094 (54.658)
Epoch: [1][5720/14090]	Time 0.782 (0.767)	Data 0.001 (0.001)	Loss 2.9287 (3.2372)	Prec@1 39.844 (26.269)	Prec@5 63.281 (54.660)
Epoch: [1][5730/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 2.8746 (3.2371)	Prec@1 34.375 (26.272)	Prec@5 67.188 (54.663)
Epoch: [1][5740/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 2.9356 (3.2370)	Prec@1 32.812 (26.274)	Prec@5 55.469 (54.664)
Epoch: [1][5750/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 2.9517 (3.2368)	Prec@1 35.938 (26.276)	Prec@5 57.812 (54.668)
Epoch: [1][5760/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 2.9784 (3.2366)	Prec@1 30.469 (26.282)	Prec@5 64.844 (54.672)
Epoch: [1][5770/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 3.4127 (3.2366)	Prec@1 23.438 (26.282)	Prec@5 49.219 (54.672)
Epoch: [1][5780/14090]	Time 0.953 (0.767)	Data 0.001 (0.001)	Loss 2.7456 (3.2363)	Prec@1 35.156 (26.287)	Prec@5 67.969 (54.680)
Epoch: [1][5790/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 3.5527 (3.2363)	Prec@1 22.656 (26.286)	Prec@5 46.875 (54.678)
Epoch: [1][5800/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 2.8421 (3.2361)	Prec@1 31.250 (26.289)	Prec@5 60.938 (54.685)
Epoch: [1][5810/14090]	Time 0.774 (0.767)	Data 0.001 (0.001)	Loss 2.9667 (3.2360)	Prec@1 28.906 (26.293)	Prec@5 63.281 (54.690)
Epoch: [1][5820/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 2.9556 (3.2358)	Prec@1 28.906 (26.295)	Prec@5 60.156 (54.695)
Epoch: [1][5830/14090]	Time 0.779 (0.767)	Data 0.002 (0.001)	Loss 3.1648 (3.2356)	Prec@1 28.125 (26.299)	Prec@5 57.031 (54.699)
Epoch: [1][5840/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 3.1349 (3.2355)	Prec@1 26.562 (26.304)	Prec@5 57.031 (54.703)
Epoch: [1][5850/14090]	Time 0.782 (0.767)	Data 0.001 (0.001)	Loss 3.2081 (3.2352)	Prec@1 25.781 (26.310)	Prec@5 53.125 (54.708)
Epoch: [1][5860/14090]	Time 0.766 (0.767)	Data 0.001 (0.001)	Loss 3.0804 (3.2350)	Prec@1 28.125 (26.310)	Prec@5 57.812 (54.710)
Epoch: [1][5870/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 3.7669 (3.2351)	Prec@1 16.406 (26.306)	Prec@5 44.531 (54.707)
Epoch: [1][5880/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 3.0197 (3.2350)	Prec@1 28.906 (26.309)	Prec@5 57.812 (54.708)
Epoch: [1][5890/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 3.4674 (3.2349)	Prec@1 20.312 (26.309)	Prec@5 48.438 (54.710)
Epoch: [1][5900/14090]	Time 0.770 (0.767)	Data 0.001 (0.001)	Loss 3.1702 (3.2347)	Prec@1 28.125 (26.313)	Prec@5 55.469 (54.715)
Epoch: [1][5910/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 3.0841 (3.2345)	Prec@1 34.375 (26.318)	Prec@5 57.031 (54.719)
Epoch: [1][5920/14090]	Time 0.798 (0.767)	Data 0.001 (0.001)	Loss 3.0587 (3.2344)	Prec@1 30.469 (26.321)	Prec@5 57.031 (54.719)
Epoch: [1][5930/14090]	Time 0.764 (0.767)	Data 0.001 (0.001)	Loss 3.2117 (3.2343)	Prec@1 25.000 (26.321)	Prec@5 54.688 (54.720)
Epoch: [1][5940/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 3.0821 (3.2341)	Prec@1 30.469 (26.323)	Prec@5 59.375 (54.724)
Epoch: [1][5950/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 2.9765 (3.2340)	Prec@1 31.250 (26.324)	Prec@5 58.594 (54.726)
Epoch: [1][5960/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 3.1450 (3.2338)	Prec@1 30.469 (26.326)	Prec@5 53.906 (54.728)
Epoch: [1][5970/14090]	Time 0.769 (0.767)	Data 0.001 (0.001)	Loss 3.1275 (3.2339)	Prec@1 26.562 (26.326)	Prec@5 56.250 (54.728)
Epoch: [1][5980/14090]	Time 0.769 (0.767)	Data 0.001 (0.001)	Loss 3.4183 (3.2338)	Prec@1 22.656 (26.327)	Prec@5 50.781 (54.729)
Epoch: [1][5990/14090]	Time 0.772 (0.767)	Data 0.001 (0.001)	Loss 3.1156 (3.2336)	Prec@1 24.219 (26.327)	Prec@5 57.812 (54.731)
Epoch: [1][6000/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 3.3373 (3.2336)	Prec@1 30.469 (26.329)	Prec@5 56.250 (54.733)
Epoch: [1][6010/14090]	Time 0.773 (0.767)	Data 0.001 (0.001)	Loss 3.1969 (3.2335)	Prec@1 26.562 (26.331)	Prec@5 56.250 (54.733)
Epoch: [1][6020/14090]	Time 0.763 (0.767)	Data 0.001 (0.001)	Loss 3.2413 (3.2333)	Prec@1 25.781 (26.334)	Prec@5 48.438 (54.734)
Epoch: [1][6030/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 3.1635 (3.2332)	Prec@1 34.375 (26.336)	Prec@5 53.906 (54.735)
Epoch: [1][6040/14090]	Time 0.764 (0.767)	Data 0.001 (0.001)	Loss 3.0789 (3.2331)	Prec@1 30.469 (26.340)	Prec@5 57.812 (54.738)
Epoch: [1][6050/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 3.1092 (3.2330)	Prec@1 27.344 (26.343)	Prec@5 56.250 (54.742)
Epoch: [1][6060/14090]	Time 0.924 (0.767)	Data 0.002 (0.001)	Loss 3.1067 (3.2330)	Prec@1 34.375 (26.344)	Prec@5 61.719 (54.743)
Epoch: [1][6070/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 3.0496 (3.2328)	Prec@1 27.344 (26.348)	Prec@5 63.281 (54.747)
Epoch: [1][6080/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 3.2213 (3.2328)	Prec@1 25.781 (26.350)	Prec@5 50.781 (54.748)
Epoch: [1][6090/14090]	Time 0.784 (0.767)	Data 0.001 (0.001)	Loss 3.3822 (3.2327)	Prec@1 28.906 (26.353)	Prec@5 54.688 (54.751)
Epoch: [1][6100/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 3.6347 (3.2327)	Prec@1 14.844 (26.350)	Prec@5 49.219 (54.749)
Epoch: [1][6110/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 3.0004 (3.2326)	Prec@1 33.594 (26.356)	Prec@5 57.812 (54.752)
Epoch: [1][6120/14090]	Time 0.764 (0.767)	Data 0.001 (0.001)	Loss 3.0545 (3.2325)	Prec@1 30.469 (26.356)	Prec@5 55.469 (54.754)
Epoch: [1][6130/14090]	Time 0.797 (0.767)	Data 0.001 (0.001)	Loss 3.0353 (3.2324)	Prec@1 25.000 (26.358)	Prec@5 58.594 (54.759)
Epoch: [1][6140/14090]	Time 0.764 (0.767)	Data 0.001 (0.001)	Loss 3.3505 (3.2323)	Prec@1 21.875 (26.360)	Prec@5 54.688 (54.763)
Epoch: [1][6150/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 3.0505 (3.2321)	Prec@1 30.469 (26.363)	Prec@5 59.375 (54.767)
Epoch: [1][6160/14090]	Time 0.727 (0.767)	Data 0.002 (0.001)	Loss 3.5233 (3.2321)	Prec@1 21.094 (26.365)	Prec@5 50.000 (54.769)
Epoch: [1][6170/14090]	Time 0.772 (0.767)	Data 0.001 (0.001)	Loss 3.1236 (3.2320)	Prec@1 29.688 (26.367)	Prec@5 56.250 (54.771)
Epoch: [1][6180/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 3.1608 (3.2320)	Prec@1 33.594 (26.369)	Prec@5 52.344 (54.772)
Epoch: [1][6190/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 3.3137 (3.2320)	Prec@1 29.688 (26.370)	Prec@5 57.031 (54.773)
Epoch: [1][6200/14090]	Time 0.817 (0.767)	Data 0.001 (0.001)	Loss 3.0111 (3.2319)	Prec@1 27.344 (26.372)	Prec@5 60.938 (54.774)
Epoch: [1][6210/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 3.4884 (3.2317)	Prec@1 23.438 (26.374)	Prec@5 49.219 (54.778)
Epoch: [1][6220/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 2.9151 (3.2314)	Prec@1 25.781 (26.378)	Prec@5 66.406 (54.785)
Epoch: [1][6230/14090]	Time 0.779 (0.767)	Data 0.001 (0.001)	Loss 3.1378 (3.2312)	Prec@1 23.438 (26.379)	Prec@5 58.594 (54.790)
Epoch: [1][6240/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 3.1032 (3.2311)	Prec@1 32.812 (26.382)	Prec@5 56.250 (54.790)
Epoch: [1][6250/14090]	Time 0.788 (0.767)	Data 0.001 (0.001)	Loss 3.4136 (3.2310)	Prec@1 23.438 (26.386)	Prec@5 53.125 (54.793)
Epoch: [1][6260/14090]	Time 0.766 (0.767)	Data 0.001 (0.001)	Loss 3.3310 (3.2310)	Prec@1 25.000 (26.383)	Prec@5 53.125 (54.792)
Epoch: [1][6270/14090]	Time 0.803 (0.767)	Data 0.001 (0.001)	Loss 3.2158 (3.2308)	Prec@1 25.000 (26.386)	Prec@5 51.562 (54.795)
Epoch: [1][6280/14090]	Time 0.780 (0.767)	Data 0.001 (0.001)	Loss 3.0621 (3.2306)	Prec@1 28.906 (26.386)	Prec@5 57.812 (54.797)
Epoch: [1][6290/14090]	Time 0.774 (0.767)	Data 0.001 (0.001)	Loss 3.3322 (3.2305)	Prec@1 23.438 (26.391)	Prec@5 57.812 (54.799)
Epoch: [1][6300/14090]	Time 0.764 (0.767)	Data 0.001 (0.001)	Loss 3.1372 (3.2304)	Prec@1 26.562 (26.392)	Prec@5 53.906 (54.801)
Epoch: [1][6310/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 3.1357 (3.2302)	Prec@1 23.438 (26.394)	Prec@5 57.031 (54.800)
Epoch: [1][6320/14090]	Time 0.763 (0.767)	Data 0.001 (0.001)	Loss 2.8462 (3.2302)	Prec@1 29.688 (26.395)	Prec@5 65.625 (54.800)
Epoch: [1][6330/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 3.1516 (3.2301)	Prec@1 22.656 (26.391)	Prec@5 55.469 (54.801)
Epoch: [1][6340/14090]	Time 0.840 (0.767)	Data 0.001 (0.001)	Loss 3.3960 (3.2302)	Prec@1 19.531 (26.390)	Prec@5 49.219 (54.799)
Epoch: [1][6350/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 3.1393 (3.2302)	Prec@1 30.469 (26.390)	Prec@5 57.031 (54.801)
Epoch: [1][6360/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 3.3207 (3.2302)	Prec@1 25.000 (26.392)	Prec@5 53.906 (54.800)
Epoch: [1][6370/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 3.0913 (3.2301)	Prec@1 30.469 (26.396)	Prec@5 58.594 (54.803)
Epoch: [1][6380/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 3.2978 (3.2300)	Prec@1 23.438 (26.396)	Prec@5 57.031 (54.806)
Epoch: [1][6390/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 3.1543 (3.2299)	Prec@1 34.375 (26.398)	Prec@5 59.375 (54.809)
Epoch: [1][6400/14090]	Time 0.763 (0.767)	Data 0.001 (0.001)	Loss 3.5549 (3.2299)	Prec@1 24.219 (26.401)	Prec@5 56.250 (54.811)
Epoch: [1][6410/14090]	Time 0.808 (0.767)	Data 0.001 (0.001)	Loss 3.3640 (3.2298)	Prec@1 26.562 (26.403)	Prec@5 49.219 (54.812)
Epoch: [1][6420/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 3.2038 (3.2296)	Prec@1 28.906 (26.406)	Prec@5 57.812 (54.815)
Epoch: [1][6430/14090]	Time 0.769 (0.767)	Data 0.001 (0.001)	Loss 3.1177 (3.2294)	Prec@1 31.250 (26.411)	Prec@5 55.469 (54.817)
Epoch: [1][6440/14090]	Time 0.750 (0.767)	Data 0.000 (0.001)	Loss 3.4925 (3.2293)	Prec@1 25.781 (26.411)	Prec@5 50.781 (54.821)
Epoch: [1][6450/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 3.2132 (3.2292)	Prec@1 25.000 (26.413)	Prec@5 53.906 (54.822)
Epoch: [1][6460/14090]	Time 0.765 (0.767)	Data 0.001 (0.001)	Loss 3.3754 (3.2291)	Prec@1 22.656 (26.415)	Prec@5 51.562 (54.825)
Epoch: [1][6470/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 3.1896 (3.2290)	Prec@1 22.656 (26.414)	Prec@5 57.031 (54.827)
Epoch: [1][6480/14090]	Time 0.919 (0.767)	Data 0.001 (0.001)	Loss 3.1684 (3.2289)	Prec@1 31.250 (26.417)	Prec@5 56.250 (54.829)
Epoch: [1][6490/14090]	Time 0.787 (0.767)	Data 0.001 (0.001)	Loss 3.3557 (3.2286)	Prec@1 25.000 (26.422)	Prec@5 51.562 (54.834)
Epoch: [1][6500/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 3.4149 (3.2286)	Prec@1 25.000 (26.425)	Prec@5 48.438 (54.832)
Epoch: [1][6510/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 3.1237 (3.2284)	Prec@1 23.438 (26.428)	Prec@5 55.469 (54.834)
Epoch: [1][6520/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 3.2008 (3.2284)	Prec@1 26.562 (26.428)	Prec@5 56.250 (54.837)
Epoch: [1][6530/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 2.8910 (3.2282)	Prec@1 28.906 (26.429)	Prec@5 59.375 (54.842)
Epoch: [1][6540/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 3.1616 (3.2281)	Prec@1 30.469 (26.430)	Prec@5 53.125 (54.845)
Epoch: [1][6550/14090]	Time 0.819 (0.767)	Data 0.001 (0.001)	Loss 3.1070 (3.2280)	Prec@1 25.000 (26.431)	Prec@5 56.250 (54.845)
Epoch: [1][6560/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 3.0751 (3.2279)	Prec@1 30.469 (26.432)	Prec@5 58.594 (54.849)
Epoch: [1][6570/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 3.0601 (3.2277)	Prec@1 32.031 (26.436)	Prec@5 54.688 (54.855)
Epoch: [1][6580/14090]	Time 0.764 (0.767)	Data 0.001 (0.001)	Loss 3.0835 (3.2273)	Prec@1 31.250 (26.440)	Prec@5 57.031 (54.858)
Epoch: [1][6590/14090]	Time 0.786 (0.767)	Data 0.001 (0.001)	Loss 3.1576 (3.2273)	Prec@1 25.781 (26.440)	Prec@5 53.125 (54.859)
Epoch: [1][6600/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 3.5514 (3.2272)	Prec@1 21.875 (26.440)	Prec@5 47.656 (54.864)
Epoch: [1][6610/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 3.0012 (3.2270)	Prec@1 34.375 (26.443)	Prec@5 52.344 (54.862)
Epoch: [1][6620/14090]	Time 0.846 (0.767)	Data 0.001 (0.001)	Loss 3.4110 (3.2270)	Prec@1 25.781 (26.446)	Prec@5 55.469 (54.863)
Epoch: [1][6630/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 3.3717 (3.2270)	Prec@1 22.656 (26.447)	Prec@5 50.000 (54.863)
Epoch: [1][6640/14090]	Time 0.770 (0.767)	Data 0.001 (0.001)	Loss 3.2378 (3.2269)	Prec@1 23.438 (26.447)	Prec@5 57.031 (54.866)
Epoch: [1][6650/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 3.3648 (3.2268)	Prec@1 25.781 (26.447)	Prec@5 50.781 (54.870)
Epoch: [1][6660/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 2.9924 (3.2266)	Prec@1 35.938 (26.448)	Prec@5 58.594 (54.873)
Epoch: [1][6670/14090]	Time 0.782 (0.767)	Data 0.001 (0.001)	Loss 3.2527 (3.2265)	Prec@1 29.688 (26.451)	Prec@5 53.125 (54.875)
Epoch: [1][6680/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 2.7845 (3.2261)	Prec@1 34.375 (26.458)	Prec@5 61.719 (54.884)
Epoch: [1][6690/14090]	Time 0.797 (0.767)	Data 0.001 (0.001)	Loss 3.2189 (3.2258)	Prec@1 28.125 (26.461)	Prec@5 57.031 (54.890)
Epoch: [1][6700/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 3.0952 (3.2257)	Prec@1 28.125 (26.463)	Prec@5 53.125 (54.890)
Epoch: [1][6710/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 3.2379 (3.2257)	Prec@1 24.219 (26.466)	Prec@5 50.000 (54.891)
Epoch: [1][6720/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 2.9813 (3.2256)	Prec@1 31.250 (26.466)	Prec@5 64.062 (54.893)
Epoch: [1][6730/14090]	Time 0.784 (0.767)	Data 0.001 (0.001)	Loss 3.2008 (3.2254)	Prec@1 25.781 (26.470)	Prec@5 51.562 (54.895)
Epoch: [1][6740/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 3.2518 (3.2251)	Prec@1 26.562 (26.474)	Prec@5 54.688 (54.901)
Epoch: [1][6750/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 3.0613 (3.2250)	Prec@1 24.219 (26.476)	Prec@5 57.031 (54.903)
Epoch: [1][6760/14090]	Time 0.936 (0.767)	Data 0.001 (0.001)	Loss 3.3384 (3.2247)	Prec@1 24.219 (26.480)	Prec@5 55.469 (54.910)
Epoch: [1][6770/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 2.9777 (3.2245)	Prec@1 33.594 (26.485)	Prec@5 57.812 (54.915)
Epoch: [1][6780/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 2.9114 (3.2244)	Prec@1 32.031 (26.487)	Prec@5 61.719 (54.919)
Epoch: [1][6790/14090]	Time 0.775 (0.767)	Data 0.001 (0.001)	Loss 3.1648 (3.2241)	Prec@1 25.781 (26.490)	Prec@5 52.344 (54.921)
Epoch: [1][6800/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 3.1512 (3.2240)	Prec@1 25.000 (26.491)	Prec@5 59.375 (54.923)
Epoch: [1][6810/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 3.2463 (3.2239)	Prec@1 23.438 (26.491)	Prec@5 52.344 (54.926)
Epoch: [1][6820/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 3.4712 (3.2239)	Prec@1 25.000 (26.493)	Prec@5 42.969 (54.926)
Epoch: [1][6830/14090]	Time 0.784 (0.767)	Data 0.001 (0.001)	Loss 2.9066 (3.2237)	Prec@1 35.156 (26.497)	Prec@5 60.156 (54.929)
Epoch: [1][6840/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 3.1628 (3.2235)	Prec@1 24.219 (26.500)	Prec@5 53.125 (54.934)
Epoch: [1][6850/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 3.5676 (3.2234)	Prec@1 17.969 (26.501)	Prec@5 51.562 (54.937)
Epoch: [1][6860/14090]	Time 0.785 (0.767)	Data 0.001 (0.001)	Loss 3.1481 (3.2233)	Prec@1 23.438 (26.504)	Prec@5 53.906 (54.939)
Epoch: [1][6870/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 2.9853 (3.2231)	Prec@1 34.375 (26.507)	Prec@5 64.062 (54.943)
Epoch: [1][6880/14090]	Time 0.764 (0.767)	Data 0.001 (0.001)	Loss 3.1010 (3.2229)	Prec@1 24.219 (26.510)	Prec@5 59.375 (54.945)
Epoch: [1][6890/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 3.4227 (3.2228)	Prec@1 16.406 (26.511)	Prec@5 46.875 (54.946)
Epoch: [1][6900/14090]	Time 0.985 (0.767)	Data 0.001 (0.001)	Loss 3.1057 (3.2226)	Prec@1 25.781 (26.514)	Prec@5 59.375 (54.951)
Epoch: [1][6910/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 3.4702 (3.2226)	Prec@1 22.656 (26.516)	Prec@5 46.094 (54.951)
Epoch: [1][6920/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 2.9228 (3.2224)	Prec@1 30.469 (26.518)	Prec@5 64.844 (54.954)
Epoch: [1][6930/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 3.2366 (3.2222)	Prec@1 30.469 (26.522)	Prec@5 57.031 (54.959)
Epoch: [1][6940/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 3.2789 (3.2220)	Prec@1 28.125 (26.524)	Prec@5 53.906 (54.964)
Epoch: [1][6950/14090]	Time 0.793 (0.767)	Data 0.001 (0.001)	Loss 3.3495 (3.2219)	Prec@1 19.531 (26.524)	Prec@5 51.562 (54.966)
Epoch: [1][6960/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 3.3027 (3.2219)	Prec@1 21.875 (26.524)	Prec@5 57.812 (54.968)
Epoch: [1][6970/14090]	Time 0.906 (0.767)	Data 0.001 (0.001)	Loss 3.2039 (3.2217)	Prec@1 28.125 (26.524)	Prec@5 55.469 (54.970)
Epoch: [1][6980/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 3.4716 (3.2216)	Prec@1 20.312 (26.526)	Prec@5 52.344 (54.972)
Epoch: [1][6990/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 2.9301 (3.2214)	Prec@1 29.688 (26.528)	Prec@5 61.719 (54.976)
Epoch: [1][7000/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 3.3296 (3.2213)	Prec@1 25.000 (26.530)	Prec@5 49.219 (54.978)
Epoch: [1][7010/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 3.2836 (3.2212)	Prec@1 31.250 (26.536)	Prec@5 48.438 (54.981)
Epoch: [1][7020/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 3.1217 (3.2210)	Prec@1 26.562 (26.540)	Prec@5 58.594 (54.986)
Epoch: [1][7030/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 3.0538 (3.2208)	Prec@1 26.562 (26.543)	Prec@5 61.719 (54.991)
Epoch: [1][7040/14090]	Time 0.853 (0.767)	Data 0.001 (0.001)	Loss 3.1609 (3.2206)	Prec@1 30.469 (26.549)	Prec@5 54.688 (54.996)
Epoch: [1][7050/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 3.4020 (3.2206)	Prec@1 21.875 (26.547)	Prec@5 48.438 (54.996)
Epoch: [1][7060/14090]	Time 0.770 (0.767)	Data 0.001 (0.001)	Loss 3.1610 (3.2204)	Prec@1 28.906 (26.549)	Prec@5 57.812 (55.000)
Epoch: [1][7070/14090]	Time 0.768 (0.767)	Data 0.001 (0.001)	Loss 3.2159 (3.2202)	Prec@1 27.344 (26.553)	Prec@5 55.469 (55.006)
Epoch: [1][7080/14090]	Time 0.726 (0.767)	Data 0.001 (0.001)	Loss 3.2762 (3.2201)	Prec@1 27.344 (26.555)	Prec@5 53.125 (55.008)
Epoch: [1][7090/14090]	Time 0.781 (0.767)	Data 0.001 (0.001)	Loss 3.2188 (3.2200)	Prec@1 25.781 (26.555)	Prec@5 52.344 (55.012)
Epoch: [1][7100/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 3.3483 (3.2199)	Prec@1 30.469 (26.559)	Prec@5 50.000 (55.015)
Epoch: [1][7110/14090]	Time 0.832 (0.767)	Data 0.001 (0.001)	Loss 3.1179 (3.2198)	Prec@1 31.250 (26.562)	Prec@5 57.812 (55.018)
Epoch: [1][7120/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 2.7959 (3.2195)	Prec@1 29.688 (26.569)	Prec@5 62.500 (55.022)
Epoch: [1][7130/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 3.1196 (3.2195)	Prec@1 26.562 (26.570)	Prec@5 57.812 (55.021)
Epoch: [1][7140/14090]	Time 0.776 (0.767)	Data 0.001 (0.001)	Loss 3.0814 (3.2192)	Prec@1 30.469 (26.573)	Prec@5 58.594 (55.025)
Epoch: [1][7150/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 3.0740 (3.2192)	Prec@1 29.688 (26.575)	Prec@5 57.812 (55.024)
Epoch: [1][7160/14090]	Time 0.779 (0.767)	Data 0.001 (0.001)	Loss 3.2145 (3.2191)	Prec@1 27.344 (26.578)	Prec@5 56.250 (55.028)
Epoch: [1][7170/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 3.1030 (3.2191)	Prec@1 29.688 (26.577)	Prec@5 59.375 (55.029)
Epoch: [1][7180/14090]	Time 0.808 (0.767)	Data 0.001 (0.001)	Loss 3.2594 (3.2191)	Prec@1 25.000 (26.579)	Prec@5 54.688 (55.029)
Epoch: [1][7190/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 2.9133 (3.2189)	Prec@1 28.125 (26.580)	Prec@5 65.625 (55.032)
Epoch: [1][7200/14090]	Time 0.729 (0.767)	Data 0.002 (0.001)	Loss 3.1634 (3.2189)	Prec@1 26.562 (26.580)	Prec@5 50.781 (55.031)
Epoch: [1][7210/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 2.9694 (3.2188)	Prec@1 34.375 (26.583)	Prec@5 62.500 (55.035)
Epoch: [1][7220/14090]	Time 0.771 (0.767)	Data 0.001 (0.001)	Loss 3.0554 (3.2187)	Prec@1 27.344 (26.582)	Prec@5 57.812 (55.035)
Epoch: [1][7230/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 2.8727 (3.2186)	Prec@1 31.250 (26.584)	Prec@5 61.719 (55.039)
Epoch: [1][7240/14090]	Time 0.774 (0.767)	Data 0.001 (0.001)	Loss 3.3350 (3.2185)	Prec@1 27.344 (26.584)	Prec@5 55.469 (55.038)
Epoch: [1][7250/14090]	Time 0.834 (0.767)	Data 0.001 (0.001)	Loss 3.1675 (3.2185)	Prec@1 25.781 (26.584)	Prec@5 53.125 (55.036)
Epoch: [1][7260/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 3.1666 (3.2184)	Prec@1 25.000 (26.585)	Prec@5 50.781 (55.038)
Epoch: [1][7270/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 3.1691 (3.2183)	Prec@1 28.125 (26.589)	Prec@5 55.469 (55.041)
Epoch: [1][7280/14090]	Time 0.764 (0.767)	Data 0.001 (0.001)	Loss 2.9417 (3.2181)	Prec@1 34.375 (26.589)	Prec@5 57.812 (55.043)
Epoch: [1][7290/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 3.2567 (3.2181)	Prec@1 29.688 (26.590)	Prec@5 57.812 (55.045)
Epoch: [1][7300/14090]	Time 0.766 (0.767)	Data 0.001 (0.001)	Loss 2.9127 (3.2180)	Prec@1 29.688 (26.592)	Prec@5 60.156 (55.046)
Epoch: [1][7310/14090]	Time 0.769 (0.767)	Data 0.001 (0.001)	Loss 3.0895 (3.2178)	Prec@1 26.562 (26.594)	Prec@5 58.594 (55.049)
Epoch: [1][7320/14090]	Time 0.835 (0.767)	Data 0.001 (0.001)	Loss 3.2518 (3.2177)	Prec@1 25.781 (26.595)	Prec@5 57.031 (55.054)
Epoch: [1][7330/14090]	Time 0.744 (0.767)	Data 0.002 (0.001)	Loss 2.8904 (3.2176)	Prec@1 30.469 (26.595)	Prec@5 65.625 (55.056)
Epoch: [1][7340/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 3.2211 (3.2174)	Prec@1 28.906 (26.599)	Prec@5 58.594 (55.059)
Epoch: [1][7350/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 3.0425 (3.2173)	Prec@1 28.906 (26.599)	Prec@5 60.156 (55.063)
Epoch: [1][7360/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 3.2710 (3.2174)	Prec@1 24.219 (26.599)	Prec@5 57.031 (55.061)
Epoch: [1][7370/14090]	Time 0.769 (0.767)	Data 0.001 (0.001)	Loss 3.2118 (3.2171)	Prec@1 26.562 (26.603)	Prec@5 55.469 (55.066)
Epoch: [1][7380/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 3.2439 (3.2171)	Prec@1 31.250 (26.606)	Prec@5 51.562 (55.069)
Epoch: [1][7390/14090]	Time 0.861 (0.767)	Data 0.001 (0.001)	Loss 2.9507 (3.2170)	Prec@1 31.250 (26.608)	Prec@5 59.375 (55.070)
Epoch: [1][7400/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 3.1438 (3.2168)	Prec@1 34.375 (26.610)	Prec@5 57.812 (55.074)
Epoch: [1][7410/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 3.4259 (3.2166)	Prec@1 21.094 (26.612)	Prec@5 50.781 (55.077)
Epoch: [1][7420/14090]	Time 0.765 (0.767)	Data 0.001 (0.001)	Loss 2.7661 (3.2165)	Prec@1 32.031 (26.613)	Prec@5 64.062 (55.078)
Epoch: [1][7430/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 3.1989 (3.2164)	Prec@1 31.250 (26.616)	Prec@5 52.344 (55.078)
Epoch: [1][7440/14090]	Time 0.767 (0.767)	Data 0.001 (0.001)	Loss 2.9488 (3.2162)	Prec@1 29.688 (26.619)	Prec@5 64.062 (55.083)
Epoch: [1][7450/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.9923 (3.2161)	Prec@1 33.594 (26.621)	Prec@5 52.344 (55.086)
Epoch: [1][7460/14090]	Time 0.828 (0.767)	Data 0.001 (0.001)	Loss 3.2630 (3.2161)	Prec@1 22.656 (26.621)	Prec@5 55.469 (55.088)
Epoch: [1][7470/14090]	Time 0.763 (0.767)	Data 0.001 (0.001)	Loss 3.5712 (3.2160)	Prec@1 21.094 (26.624)	Prec@5 46.875 (55.091)
Epoch: [1][7480/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 2.9016 (3.2158)	Prec@1 36.719 (26.628)	Prec@5 65.625 (55.094)
Epoch: [1][7490/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 3.1922 (3.2157)	Prec@1 23.438 (26.629)	Prec@5 59.375 (55.099)
Epoch: [1][7500/14090]	Time 0.765 (0.767)	Data 0.001 (0.001)	Loss 3.1643 (3.2155)	Prec@1 29.688 (26.632)	Prec@5 53.125 (55.102)
Epoch: [1][7510/14090]	Time 0.771 (0.767)	Data 0.001 (0.001)	Loss 3.2574 (3.2154)	Prec@1 26.562 (26.634)	Prec@5 53.125 (55.105)
Epoch: [1][7520/14090]	Time 0.769 (0.767)	Data 0.001 (0.001)	Loss 2.9848 (3.2153)	Prec@1 28.906 (26.635)	Prec@5 62.500 (55.108)
Epoch: [1][7530/14090]	Time 0.788 (0.767)	Data 0.001 (0.001)	Loss 3.0654 (3.2152)	Prec@1 27.344 (26.637)	Prec@5 57.031 (55.106)
Epoch: [1][7540/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 3.2464 (3.2150)	Prec@1 29.688 (26.641)	Prec@5 57.031 (55.114)
Epoch: [1][7550/14090]	Time 0.789 (0.767)	Data 0.001 (0.001)	Loss 3.2768 (3.2148)	Prec@1 25.000 (26.645)	Prec@5 52.344 (55.119)
Epoch: [1][7560/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 2.9175 (3.2147)	Prec@1 30.469 (26.645)	Prec@5 64.844 (55.122)
Epoch: [1][7570/14090]	Time 0.778 (0.767)	Data 0.001 (0.001)	Loss 3.2201 (3.2147)	Prec@1 31.250 (26.647)	Prec@5 57.031 (55.124)
Epoch: [1][7580/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 2.9391 (3.2145)	Prec@1 26.562 (26.648)	Prec@5 58.594 (55.128)
Epoch: [1][7590/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 3.0061 (3.2145)	Prec@1 30.469 (26.650)	Prec@5 59.375 (55.129)
Epoch: [1][7600/14090]	Time 0.932 (0.767)	Data 0.001 (0.001)	Loss 3.0675 (3.2142)	Prec@1 26.562 (26.656)	Prec@5 55.469 (55.135)
Epoch: [1][7610/14090]	Time 0.765 (0.767)	Data 0.001 (0.001)	Loss 3.4198 (3.2142)	Prec@1 21.094 (26.658)	Prec@5 50.000 (55.138)
Epoch: [1][7620/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 3.0930 (3.2140)	Prec@1 26.562 (26.660)	Prec@5 60.156 (55.138)
Epoch: [1][7630/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 3.1636 (3.2139)	Prec@1 26.562 (26.661)	Prec@5 57.031 (55.141)
Epoch: [1][7640/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 3.2905 (3.2138)	Prec@1 24.219 (26.663)	Prec@5 55.469 (55.143)
Epoch: [1][7650/14090]	Time 0.736 (0.767)	Data 0.003 (0.001)	Loss 3.0596 (3.2137)	Prec@1 25.781 (26.667)	Prec@5 55.469 (55.148)
Epoch: [1][7660/14090]	Time 0.784 (0.767)	Data 0.001 (0.001)	Loss 3.3272 (3.2135)	Prec@1 26.562 (26.669)	Prec@5 53.906 (55.150)
Epoch: [1][7670/14090]	Time 0.778 (0.767)	Data 0.001 (0.001)	Loss 3.0629 (3.2134)	Prec@1 25.000 (26.668)	Prec@5 59.375 (55.153)
Epoch: [1][7680/14090]	Time 0.768 (0.767)	Data 0.001 (0.001)	Loss 3.1631 (3.2133)	Prec@1 28.906 (26.672)	Prec@5 56.250 (55.155)
Epoch: [1][7690/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 2.8582 (3.2130)	Prec@1 28.125 (26.676)	Prec@5 64.844 (55.161)
Epoch: [1][7700/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 3.2815 (3.2130)	Prec@1 25.781 (26.676)	Prec@5 51.562 (55.161)
Epoch: [1][7710/14090]	Time 0.778 (0.767)	Data 0.001 (0.001)	Loss 3.1528 (3.2128)	Prec@1 27.344 (26.677)	Prec@5 54.688 (55.164)
Epoch: [1][7720/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 2.9739 (3.2127)	Prec@1 26.562 (26.676)	Prec@5 59.375 (55.166)
Epoch: [1][7730/14090]	Time 0.721 (0.767)	Data 0.001 (0.001)	Loss 3.1430 (3.2126)	Prec@1 28.125 (26.677)	Prec@5 54.688 (55.168)
Epoch: [1][7740/14090]	Time 0.882 (0.767)	Data 0.001 (0.001)	Loss 3.0816 (3.2125)	Prec@1 28.125 (26.676)	Prec@5 55.469 (55.168)
Epoch: [1][7750/14090]	Time 0.772 (0.767)	Data 0.001 (0.001)	Loss 2.8843 (3.2124)	Prec@1 34.375 (26.677)	Prec@5 62.500 (55.171)
Epoch: [1][7760/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 3.2572 (3.2123)	Prec@1 25.000 (26.679)	Prec@5 50.000 (55.172)
Epoch: [1][7770/14090]	Time 0.808 (0.767)	Data 0.001 (0.001)	Loss 2.8718 (3.2122)	Prec@1 31.250 (26.683)	Prec@5 62.500 (55.175)
Epoch: [1][7780/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 3.4125 (3.2122)	Prec@1 22.656 (26.684)	Prec@5 48.438 (55.174)
Epoch: [1][7790/14090]	Time 0.769 (0.767)	Data 0.002 (0.001)	Loss 3.1348 (3.2121)	Prec@1 25.000 (26.686)	Prec@5 62.500 (55.179)
Epoch: [1][7800/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 3.1174 (3.2120)	Prec@1 28.125 (26.687)	Prec@5 54.688 (55.182)
Epoch: [1][7810/14090]	Time 0.864 (0.767)	Data 0.001 (0.001)	Loss 2.9484 (3.2118)	Prec@1 27.344 (26.690)	Prec@5 59.375 (55.184)
Epoch: [1][7820/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 3.1692 (3.2118)	Prec@1 31.250 (26.692)	Prec@5 53.906 (55.184)
Epoch: [1][7830/14090]	Time 0.788 (0.767)	Data 0.001 (0.001)	Loss 3.0601 (3.2117)	Prec@1 28.906 (26.692)	Prec@5 56.250 (55.185)
Epoch: [1][7840/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 3.0969 (3.2117)	Prec@1 28.906 (26.693)	Prec@5 58.594 (55.185)
Epoch: [1][7850/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 3.2861 (3.2115)	Prec@1 24.219 (26.694)	Prec@5 58.594 (55.188)
Epoch: [1][7860/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 2.8884 (3.2113)	Prec@1 31.250 (26.697)	Prec@5 60.938 (55.191)
Epoch: [1][7870/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 3.0522 (3.2112)	Prec@1 27.344 (26.701)	Prec@5 60.938 (55.197)
Epoch: [1][7880/14090]	Time 0.763 (0.767)	Data 0.001 (0.001)	Loss 3.2799 (3.2110)	Prec@1 25.000 (26.704)	Prec@5 54.688 (55.199)
Epoch: [1][7890/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 2.9374 (3.2109)	Prec@1 32.812 (26.707)	Prec@5 64.844 (55.204)
Epoch: [1][7900/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.9986 (3.2107)	Prec@1 33.594 (26.711)	Prec@5 60.938 (55.208)
Epoch: [1][7910/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 3.2350 (3.2106)	Prec@1 28.125 (26.714)	Prec@5 54.688 (55.209)
Epoch: [1][7920/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 3.0137 (3.2105)	Prec@1 34.375 (26.714)	Prec@5 61.719 (55.214)
Epoch: [1][7930/14090]	Time 0.767 (0.767)	Data 0.001 (0.001)	Loss 3.1073 (3.2104)	Prec@1 33.594 (26.718)	Prec@5 53.125 (55.214)
Epoch: [1][7940/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 3.3017 (3.2104)	Prec@1 17.969 (26.716)	Prec@5 53.125 (55.212)
Epoch: [1][7950/14090]	Time 0.809 (0.767)	Data 0.001 (0.001)	Loss 3.0593 (3.2102)	Prec@1 30.469 (26.720)	Prec@5 59.375 (55.216)
Epoch: [1][7960/14090]	Time 0.766 (0.767)	Data 0.001 (0.001)	Loss 3.2090 (3.2100)	Prec@1 22.656 (26.723)	Prec@5 57.031 (55.222)
Epoch: [1][7970/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 3.2804 (3.2099)	Prec@1 28.125 (26.728)	Prec@5 53.125 (55.226)
Epoch: [1][7980/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 3.2340 (3.2099)	Prec@1 22.656 (26.729)	Prec@5 56.250 (55.228)
Epoch: [1][7990/14090]	Time 0.780 (0.767)	Data 0.001 (0.001)	Loss 3.2842 (3.2098)	Prec@1 24.219 (26.729)	Prec@5 57.812 (55.230)
Epoch: [1][8000/14090]	Time 0.776 (0.767)	Data 0.001 (0.001)	Loss 2.9278 (3.2097)	Prec@1 28.906 (26.730)	Prec@5 59.375 (55.235)
Epoch: [1][8010/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 3.5026 (3.2096)	Prec@1 24.219 (26.730)	Prec@5 50.000 (55.237)
Epoch: [1][8020/14090]	Time 0.786 (0.767)	Data 0.001 (0.001)	Loss 3.0201 (3.2095)	Prec@1 35.156 (26.732)	Prec@5 57.812 (55.238)
Epoch: [1][8030/14090]	Time 0.752 (0.767)	Data 0.003 (0.001)	Loss 3.2147 (3.2094)	Prec@1 25.781 (26.733)	Prec@5 52.344 (55.239)
Epoch: [1][8040/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 3.1011 (3.2093)	Prec@1 30.469 (26.735)	Prec@5 58.594 (55.241)
Epoch: [1][8050/14090]	Time 0.779 (0.767)	Data 0.001 (0.001)	Loss 3.1324 (3.2092)	Prec@1 26.562 (26.737)	Prec@5 57.031 (55.243)
Epoch: [1][8060/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 2.8487 (3.2090)	Prec@1 34.375 (26.741)	Prec@5 63.281 (55.247)
Epoch: [1][8070/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 3.2692 (3.2089)	Prec@1 24.219 (26.744)	Prec@5 55.469 (55.250)
Epoch: [1][8080/14090]	Time 0.769 (0.767)	Data 0.001 (0.001)	Loss 2.8763 (3.2087)	Prec@1 23.438 (26.745)	Prec@5 63.281 (55.255)
Epoch: [1][8090/14090]	Time 0.830 (0.767)	Data 0.001 (0.001)	Loss 2.9677 (3.2087)	Prec@1 26.562 (26.747)	Prec@5 61.719 (55.256)
Epoch: [1][8100/14090]	Time 0.778 (0.767)	Data 0.001 (0.001)	Loss 2.9532 (3.2086)	Prec@1 32.812 (26.749)	Prec@5 59.375 (55.258)
Epoch: [1][8110/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 3.1267 (3.2085)	Prec@1 25.000 (26.751)	Prec@5 57.031 (55.257)
Epoch: [1][8120/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 2.9876 (3.2085)	Prec@1 34.375 (26.753)	Prec@5 59.375 (55.259)
Epoch: [1][8130/14090]	Time 0.771 (0.767)	Data 0.001 (0.001)	Loss 3.0758 (3.2083)	Prec@1 29.688 (26.757)	Prec@5 57.031 (55.260)
Epoch: [1][8140/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 3.0715 (3.2082)	Prec@1 29.688 (26.758)	Prec@5 60.156 (55.262)
Epoch: [1][8150/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 3.2923 (3.2082)	Prec@1 28.906 (26.759)	Prec@5 53.125 (55.261)
Epoch: [1][8160/14090]	Time 0.855 (0.767)	Data 0.001 (0.001)	Loss 3.1552 (3.2082)	Prec@1 29.688 (26.759)	Prec@5 55.469 (55.263)
Epoch: [1][8170/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 2.9869 (3.2079)	Prec@1 31.250 (26.763)	Prec@5 62.500 (55.268)
Epoch: [1][8180/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 3.4328 (3.2078)	Prec@1 21.094 (26.766)	Prec@5 54.688 (55.272)
Epoch: [1][8190/14090]	Time 0.789 (0.767)	Data 0.001 (0.001)	Loss 3.0129 (3.2077)	Prec@1 28.906 (26.767)	Prec@5 58.594 (55.273)
Epoch: [1][8200/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 3.4492 (3.2078)	Prec@1 22.656 (26.764)	Prec@5 50.000 (55.272)
Epoch: [1][8210/14090]	Time 0.774 (0.767)	Data 0.001 (0.001)	Loss 3.1868 (3.2078)	Prec@1 32.031 (26.764)	Prec@5 60.938 (55.274)
Epoch: [1][8220/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 3.0981 (3.2077)	Prec@1 24.219 (26.765)	Prec@5 60.156 (55.274)
Epoch: [1][8230/14090]	Time 0.801 (0.767)	Data 0.001 (0.001)	Loss 3.2317 (3.2077)	Prec@1 23.438 (26.765)	Prec@5 56.250 (55.276)
Epoch: [1][8240/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 3.0214 (3.2076)	Prec@1 26.562 (26.766)	Prec@5 57.812 (55.278)
Epoch: [1][8250/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 3.1313 (3.2075)	Prec@1 28.125 (26.766)	Prec@5 54.688 (55.278)
Epoch: [1][8260/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 2.9723 (3.2074)	Prec@1 27.344 (26.766)	Prec@5 60.156 (55.281)
Epoch: [1][8270/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 2.7890 (3.2074)	Prec@1 38.281 (26.767)	Prec@5 64.062 (55.282)
Epoch: [1][8280/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 3.2611 (3.2073)	Prec@1 28.906 (26.768)	Prec@5 52.344 (55.282)
Epoch: [1][8290/14090]	Time 0.779 (0.767)	Data 0.001 (0.001)	Loss 3.0195 (3.2073)	Prec@1 28.125 (26.771)	Prec@5 58.594 (55.284)
Epoch: [1][8300/14090]	Time 0.853 (0.767)	Data 0.001 (0.001)	Loss 3.2094 (3.2072)	Prec@1 25.000 (26.771)	Prec@5 57.031 (55.286)
Epoch: [1][8310/14090]	Time 0.763 (0.767)	Data 0.001 (0.001)	Loss 2.9756 (3.2071)	Prec@1 27.344 (26.774)	Prec@5 64.062 (55.291)
Epoch: [1][8320/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 3.1983 (3.2071)	Prec@1 21.094 (26.774)	Prec@5 51.562 (55.290)
Epoch: [1][8330/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 2.9900 (3.2070)	Prec@1 28.125 (26.774)	Prec@5 56.250 (55.292)
Epoch: [1][8340/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 2.9875 (3.2069)	Prec@1 32.812 (26.778)	Prec@5 64.844 (55.295)
Epoch: [1][8350/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 2.9598 (3.2067)	Prec@1 29.688 (26.781)	Prec@5 60.156 (55.298)
Epoch: [1][8360/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 3.1818 (3.2066)	Prec@1 28.906 (26.784)	Prec@5 53.125 (55.300)
Epoch: [1][8370/14090]	Time 0.793 (0.767)	Data 0.001 (0.001)	Loss 3.2112 (3.2065)	Prec@1 30.469 (26.785)	Prec@5 54.688 (55.303)
Epoch: [1][8380/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 3.1163 (3.2064)	Prec@1 28.906 (26.789)	Prec@5 55.469 (55.305)
Epoch: [1][8390/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 3.0333 (3.2064)	Prec@1 28.125 (26.790)	Prec@5 60.156 (55.306)
Epoch: [1][8400/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 3.1045 (3.2063)	Prec@1 17.969 (26.788)	Prec@5 57.031 (55.308)
Epoch: [1][8410/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 3.2661 (3.2062)	Prec@1 25.781 (26.790)	Prec@5 52.344 (55.309)
Epoch: [1][8420/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 3.0761 (3.2060)	Prec@1 32.812 (26.793)	Prec@5 59.375 (55.311)
Epoch: [1][8430/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 2.8750 (3.2058)	Prec@1 35.938 (26.797)	Prec@5 61.719 (55.317)
Epoch: [1][8440/14090]	Time 0.808 (0.767)	Data 0.001 (0.001)	Loss 3.0579 (3.2057)	Prec@1 34.375 (26.799)	Prec@5 62.500 (55.319)
Epoch: [1][8450/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 3.0372 (3.2057)	Prec@1 30.469 (26.800)	Prec@5 62.500 (55.318)
Epoch: [1][8460/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 3.0437 (3.2056)	Prec@1 30.469 (26.801)	Prec@5 58.594 (55.322)
Epoch: [1][8470/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 2.8592 (3.2055)	Prec@1 29.688 (26.802)	Prec@5 60.156 (55.324)
Epoch: [1][8480/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 3.0386 (3.2054)	Prec@1 29.688 (26.805)	Prec@5 58.594 (55.328)
Epoch: [1][8490/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 2.9485 (3.2053)	Prec@1 34.375 (26.809)	Prec@5 60.156 (55.332)
Epoch: [1][8500/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 3.4378 (3.2052)	Prec@1 21.875 (26.810)	Prec@5 50.781 (55.333)
Epoch: [1][8510/14090]	Time 0.872 (0.767)	Data 0.001 (0.001)	Loss 3.1517 (3.2051)	Prec@1 26.562 (26.811)	Prec@5 51.562 (55.334)
Epoch: [1][8520/14090]	Time 0.790 (0.767)	Data 0.002 (0.001)	Loss 2.8641 (3.2051)	Prec@1 35.938 (26.812)	Prec@5 62.500 (55.335)
Epoch: [1][8530/14090]	Time 0.788 (0.767)	Data 0.001 (0.001)	Loss 2.9315 (3.2049)	Prec@1 35.156 (26.815)	Prec@5 57.812 (55.339)
Epoch: [1][8540/14090]	Time 0.785 (0.767)	Data 0.001 (0.001)	Loss 2.8887 (3.2049)	Prec@1 34.375 (26.816)	Prec@5 60.156 (55.339)
Epoch: [1][8550/14090]	Time 0.774 (0.767)	Data 0.001 (0.001)	Loss 3.4470 (3.2048)	Prec@1 22.656 (26.817)	Prec@5 48.438 (55.342)
Epoch: [1][8560/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 3.3120 (3.2047)	Prec@1 24.219 (26.817)	Prec@5 57.812 (55.345)
Epoch: [1][8570/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 2.9267 (3.2046)	Prec@1 35.156 (26.819)	Prec@5 57.812 (55.347)
Epoch: [1][8580/14090]	Time 0.819 (0.767)	Data 0.001 (0.001)	Loss 3.3002 (3.2045)	Prec@1 28.125 (26.820)	Prec@5 58.594 (55.349)
Epoch: [1][8590/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 3.1526 (3.2044)	Prec@1 28.125 (26.823)	Prec@5 58.594 (55.353)
Epoch: [1][8600/14090]	Time 0.782 (0.767)	Data 0.001 (0.001)	Loss 3.0347 (3.2043)	Prec@1 27.344 (26.822)	Prec@5 58.594 (55.352)
Epoch: [1][8610/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 3.2254 (3.2043)	Prec@1 22.656 (26.823)	Prec@5 54.688 (55.353)
Epoch: [1][8620/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 3.0321 (3.2043)	Prec@1 24.219 (26.822)	Prec@5 57.031 (55.352)
Epoch: [1][8630/14090]	Time 0.794 (0.767)	Data 0.001 (0.001)	Loss 3.2318 (3.2041)	Prec@1 29.688 (26.824)	Prec@5 57.812 (55.354)
Epoch: [1][8640/14090]	Time 0.726 (0.767)	Data 0.001 (0.001)	Loss 2.7975 (3.2041)	Prec@1 32.812 (26.824)	Prec@5 64.062 (55.355)
Epoch: [1][8650/14090]	Time 0.839 (0.767)	Data 0.001 (0.001)	Loss 3.1175 (3.2040)	Prec@1 26.562 (26.825)	Prec@5 57.031 (55.356)
Epoch: [1][8660/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 2.8844 (3.2040)	Prec@1 33.594 (26.826)	Prec@5 64.844 (55.356)
Epoch: [1][8670/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 3.0835 (3.2037)	Prec@1 28.125 (26.830)	Prec@5 55.469 (55.359)
Epoch: [1][8680/14090]	Time 0.769 (0.767)	Data 0.001 (0.001)	Loss 3.1963 (3.2037)	Prec@1 28.906 (26.830)	Prec@5 60.156 (55.360)
Epoch: [1][8690/14090]	Time 0.724 (0.767)	Data 0.001 (0.001)	Loss 3.1627 (3.2036)	Prec@1 21.094 (26.831)	Prec@5 56.250 (55.363)
Epoch: [1][8700/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 3.1379 (3.2033)	Prec@1 27.344 (26.834)	Prec@5 57.812 (55.367)
Epoch: [1][8710/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 3.0211 (3.2032)	Prec@1 32.031 (26.837)	Prec@5 63.281 (55.371)
Epoch: [1][8720/14090]	Time 0.871 (0.767)	Data 0.001 (0.001)	Loss 2.7113 (3.2030)	Prec@1 39.844 (26.839)	Prec@5 63.281 (55.375)
Epoch: [1][8730/14090]	Time 0.777 (0.767)	Data 0.001 (0.001)	Loss 3.2657 (3.2029)	Prec@1 28.125 (26.842)	Prec@5 53.125 (55.380)
Epoch: [1][8740/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 2.8890 (3.2027)	Prec@1 26.562 (26.843)	Prec@5 66.406 (55.384)
Epoch: [1][8750/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 3.0810 (3.2026)	Prec@1 28.906 (26.845)	Prec@5 52.344 (55.385)
Epoch: [1][8760/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 3.3044 (3.2025)	Prec@1 27.344 (26.846)	Prec@5 50.000 (55.386)
Epoch: [1][8770/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 3.0940 (3.2024)	Prec@1 28.906 (26.849)	Prec@5 52.344 (55.390)
Epoch: [1][8780/14090]	Time 0.766 (0.767)	Data 0.002 (0.001)	Loss 3.0305 (3.2023)	Prec@1 31.250 (26.849)	Prec@5 53.906 (55.390)
Epoch: [1][8790/14090]	Time 0.874 (0.767)	Data 0.001 (0.001)	Loss 3.3828 (3.2021)	Prec@1 27.344 (26.853)	Prec@5 53.125 (55.395)
Epoch: [1][8800/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 2.9869 (3.2020)	Prec@1 38.281 (26.856)	Prec@5 64.062 (55.396)
Epoch: [1][8810/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 3.2011 (3.2020)	Prec@1 29.688 (26.856)	Prec@5 61.719 (55.397)
Epoch: [1][8820/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 2.9166 (3.2018)	Prec@1 29.688 (26.860)	Prec@5 60.938 (55.400)
Epoch: [1][8830/14090]	Time 0.765 (0.767)	Data 0.001 (0.001)	Loss 3.1919 (3.2016)	Prec@1 29.688 (26.861)	Prec@5 53.125 (55.404)
Epoch: [1][8840/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 3.2782 (3.2015)	Prec@1 21.875 (26.864)	Prec@5 52.344 (55.406)
Epoch: [1][8850/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 3.0605 (3.2013)	Prec@1 32.031 (26.866)	Prec@5 60.938 (55.411)
Epoch: [1][8860/14090]	Time 0.814 (0.767)	Data 0.001 (0.001)	Loss 2.9679 (3.2012)	Prec@1 33.594 (26.869)	Prec@5 64.062 (55.414)
Epoch: [1][8870/14090]	Time 0.782 (0.767)	Data 0.001 (0.001)	Loss 3.3062 (3.2011)	Prec@1 25.781 (26.872)	Prec@5 54.688 (55.417)
Epoch: [1][8880/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 3.1382 (3.2010)	Prec@1 30.469 (26.875)	Prec@5 57.031 (55.418)
Epoch: [1][8890/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 2.8150 (3.2007)	Prec@1 21.094 (26.880)	Prec@5 64.062 (55.423)
Epoch: [1][8900/14090]	Time 0.764 (0.767)	Data 0.001 (0.001)	Loss 3.0339 (3.2005)	Prec@1 28.125 (26.882)	Prec@5 56.250 (55.428)
Epoch: [1][8910/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 3.2419 (3.2003)	Prec@1 26.562 (26.884)	Prec@5 54.688 (55.432)
Epoch: [1][8920/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 3.0185 (3.2003)	Prec@1 25.781 (26.884)	Prec@5 56.250 (55.432)
Epoch: [1][8930/14090]	Time 0.806 (0.767)	Data 0.001 (0.001)	Loss 3.6209 (3.2003)	Prec@1 22.656 (26.884)	Prec@5 52.344 (55.434)
Epoch: [1][8940/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 3.0558 (3.2001)	Prec@1 25.000 (26.884)	Prec@5 60.938 (55.437)
Epoch: [1][8950/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 3.1362 (3.2001)	Prec@1 27.344 (26.887)	Prec@5 55.469 (55.438)
Epoch: [1][8960/14090]	Time 0.777 (0.767)	Data 0.001 (0.001)	Loss 3.1463 (3.2001)	Prec@1 31.250 (26.888)	Prec@5 60.156 (55.437)
Epoch: [1][8970/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 3.1269 (3.1999)	Prec@1 23.438 (26.888)	Prec@5 53.906 (55.440)
Epoch: [1][8980/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.8934 (3.1998)	Prec@1 27.344 (26.889)	Prec@5 64.062 (55.443)
Epoch: [1][8990/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 3.2633 (3.1997)	Prec@1 21.094 (26.888)	Prec@5 54.688 (55.445)
Epoch: [1][9000/14090]	Time 0.776 (0.767)	Data 0.001 (0.001)	Loss 2.8541 (3.1997)	Prec@1 26.562 (26.888)	Prec@5 60.938 (55.444)
Epoch: [1][9010/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 2.9698 (3.1996)	Prec@1 35.156 (26.891)	Prec@5 58.594 (55.447)
Epoch: [1][9020/14090]	Time 0.764 (0.767)	Data 0.001 (0.001)	Loss 2.8978 (3.1995)	Prec@1 32.031 (26.891)	Prec@5 60.156 (55.448)
Epoch: [1][9030/14090]	Time 0.763 (0.767)	Data 0.001 (0.001)	Loss 3.0014 (3.1994)	Prec@1 33.594 (26.893)	Prec@5 60.156 (55.450)
Epoch: [1][9040/14090]	Time 0.722 (0.767)	Data 0.001 (0.001)	Loss 3.2662 (3.1993)	Prec@1 21.875 (26.897)	Prec@5 51.562 (55.454)
Epoch: [1][9050/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.9425 (3.1992)	Prec@1 25.000 (26.897)	Prec@5 61.719 (55.455)
Epoch: [1][9060/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 3.0290 (3.1991)	Prec@1 33.594 (26.897)	Prec@5 64.844 (55.457)
Epoch: [1][9070/14090]	Time 0.815 (0.767)	Data 0.001 (0.001)	Loss 3.3074 (3.1991)	Prec@1 20.312 (26.896)	Prec@5 52.344 (55.458)
Epoch: [1][9080/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 3.3998 (3.1991)	Prec@1 21.094 (26.894)	Prec@5 53.906 (55.457)
Epoch: [1][9090/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 3.0091 (3.1990)	Prec@1 27.344 (26.894)	Prec@5 60.938 (55.461)
Epoch: [1][9100/14090]	Time 0.782 (0.767)	Data 0.001 (0.001)	Loss 2.9376 (3.1989)	Prec@1 31.250 (26.895)	Prec@5 60.938 (55.462)
Epoch: [1][9110/14090]	Time 0.805 (0.767)	Data 0.002 (0.001)	Loss 3.2401 (3.1988)	Prec@1 28.125 (26.895)	Prec@5 55.469 (55.464)
Epoch: [1][9120/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 3.1623 (3.1988)	Prec@1 28.906 (26.896)	Prec@5 57.031 (55.466)
Epoch: [1][9130/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 2.9591 (3.1987)	Prec@1 28.906 (26.897)	Prec@5 56.250 (55.467)
Epoch: [1][9140/14090]	Time 0.836 (0.767)	Data 0.001 (0.001)	Loss 3.2522 (3.1986)	Prec@1 23.438 (26.899)	Prec@5 54.688 (55.469)
Epoch: [1][9150/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 3.2480 (3.1986)	Prec@1 24.219 (26.898)	Prec@5 53.906 (55.470)
Epoch: [1][9160/14090]	Time 0.764 (0.767)	Data 0.001 (0.001)	Loss 3.1034 (3.1985)	Prec@1 31.250 (26.898)	Prec@5 54.688 (55.472)
Epoch: [1][9170/14090]	Time 0.771 (0.767)	Data 0.001 (0.001)	Loss 2.9874 (3.1984)	Prec@1 32.812 (26.899)	Prec@5 54.688 (55.475)
Epoch: [1][9180/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 3.1778 (3.1983)	Prec@1 33.594 (26.902)	Prec@5 56.250 (55.478)
Epoch: [1][9190/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 3.1193 (3.1982)	Prec@1 25.000 (26.902)	Prec@5 53.906 (55.478)
Epoch: [1][9200/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 3.3013 (3.1982)	Prec@1 27.344 (26.902)	Prec@5 50.781 (55.478)
Epoch: [1][9210/14090]	Time 0.809 (0.767)	Data 0.001 (0.001)	Loss 3.2563 (3.1981)	Prec@1 27.344 (26.901)	Prec@5 55.469 (55.482)
Epoch: [1][9220/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 2.8090 (3.1980)	Prec@1 37.500 (26.904)	Prec@5 60.156 (55.484)
Epoch: [1][9230/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 3.1226 (3.1979)	Prec@1 28.906 (26.907)	Prec@5 53.125 (55.487)
Epoch: [1][9240/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 3.1921 (3.1978)	Prec@1 30.469 (26.908)	Prec@5 56.250 (55.489)
Epoch: [1][9250/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 3.2336 (3.1977)	Prec@1 21.875 (26.908)	Prec@5 50.781 (55.489)
Epoch: [1][9260/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.8997 (3.1976)	Prec@1 32.812 (26.912)	Prec@5 60.156 (55.493)
Epoch: [1][9270/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 3.1583 (3.1975)	Prec@1 28.125 (26.912)	Prec@5 54.688 (55.493)
Epoch: [1][9280/14090]	Time 0.836 (0.767)	Data 0.001 (0.001)	Loss 3.3642 (3.1975)	Prec@1 19.531 (26.911)	Prec@5 51.562 (55.493)
Epoch: [1][9290/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 3.1185 (3.1973)	Prec@1 31.250 (26.914)	Prec@5 58.594 (55.497)
Epoch: [1][9300/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 3.1668 (3.1972)	Prec@1 29.688 (26.915)	Prec@5 53.125 (55.500)
Epoch: [1][9310/14090]	Time 0.765 (0.767)	Data 0.001 (0.001)	Loss 3.0069 (3.1971)	Prec@1 31.250 (26.916)	Prec@5 60.938 (55.502)
Epoch: [1][9320/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.9869 (3.1970)	Prec@1 30.469 (26.918)	Prec@5 61.719 (55.504)
Epoch: [1][9330/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 2.9845 (3.1969)	Prec@1 28.125 (26.919)	Prec@5 58.594 (55.506)
Epoch: [1][9340/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 2.9472 (3.1969)	Prec@1 32.812 (26.918)	Prec@5 60.938 (55.506)
Epoch: [1][9350/14090]	Time 0.812 (0.767)	Data 0.001 (0.001)	Loss 2.9937 (3.1968)	Prec@1 32.031 (26.920)	Prec@5 61.719 (55.511)
Epoch: [1][9360/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 2.9207 (3.1967)	Prec@1 33.594 (26.922)	Prec@5 58.594 (55.515)
Epoch: [1][9370/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 3.0649 (3.1965)	Prec@1 22.656 (26.924)	Prec@5 57.812 (55.518)
Epoch: [1][9380/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 3.1938 (3.1964)	Prec@1 21.875 (26.925)	Prec@5 52.344 (55.520)
Epoch: [1][9390/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 3.5841 (3.1964)	Prec@1 28.125 (26.926)	Prec@5 52.344 (55.521)
Epoch: [1][9400/14090]	Time 0.764 (0.767)	Data 0.001 (0.001)	Loss 3.0630 (3.1964)	Prec@1 29.688 (26.927)	Prec@5 59.375 (55.524)
Epoch: [1][9410/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 2.9351 (3.1962)	Prec@1 32.031 (26.929)	Prec@5 56.250 (55.525)
Epoch: [1][9420/14090]	Time 0.837 (0.767)	Data 0.001 (0.001)	Loss 3.0264 (3.1961)	Prec@1 28.906 (26.932)	Prec@5 60.156 (55.529)
Epoch: [1][9430/14090]	Time 0.767 (0.767)	Data 0.001 (0.001)	Loss 2.8237 (3.1958)	Prec@1 35.938 (26.937)	Prec@5 64.844 (55.536)
Epoch: [1][9440/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.9043 (3.1956)	Prec@1 28.125 (26.939)	Prec@5 64.062 (55.539)
Epoch: [1][9450/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 3.0624 (3.1955)	Prec@1 32.031 (26.942)	Prec@5 57.812 (55.541)
Epoch: [1][9460/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 3.3852 (3.1955)	Prec@1 24.219 (26.942)	Prec@5 53.906 (55.542)
Epoch: [1][9470/14090]	Time 0.756 (0.767)	Data 0.002 (0.001)	Loss 2.9194 (3.1955)	Prec@1 30.469 (26.941)	Prec@5 56.250 (55.541)
Epoch: [1][9480/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 3.3368 (3.1955)	Prec@1 24.219 (26.940)	Prec@5 49.219 (55.540)
Epoch: [1][9490/14090]	Time 0.925 (0.767)	Data 0.001 (0.001)	Loss 3.1560 (3.1954)	Prec@1 28.125 (26.942)	Prec@5 56.250 (55.542)
Epoch: [1][9500/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 3.1735 (3.1953)	Prec@1 34.375 (26.942)	Prec@5 58.594 (55.543)
Epoch: [1][9510/14090]	Time 0.767 (0.767)	Data 0.001 (0.001)	Loss 3.1278 (3.1952)	Prec@1 25.781 (26.946)	Prec@5 55.469 (55.547)
Epoch: [1][9520/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 3.1622 (3.1951)	Prec@1 27.344 (26.947)	Prec@5 57.031 (55.548)
Epoch: [1][9530/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 2.8206 (3.1950)	Prec@1 29.688 (26.947)	Prec@5 67.188 (55.550)
Epoch: [1][9540/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 2.9680 (3.1949)	Prec@1 30.469 (26.948)	Prec@5 60.938 (55.553)
Epoch: [1][9550/14090]	Time 0.719 (0.767)	Data 0.001 (0.001)	Loss 2.9372 (3.1948)	Prec@1 26.562 (26.949)	Prec@5 61.719 (55.557)
Epoch: [1][9560/14090]	Time 0.820 (0.767)	Data 0.001 (0.001)	Loss 2.8380 (3.1947)	Prec@1 35.156 (26.952)	Prec@5 62.500 (55.560)
Epoch: [1][9570/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 3.2435 (3.1946)	Prec@1 28.906 (26.952)	Prec@5 53.906 (55.560)
Epoch: [1][9580/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 3.2493 (3.1945)	Prec@1 25.781 (26.953)	Prec@5 54.688 (55.561)
Epoch: [1][9590/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 3.0782 (3.1944)	Prec@1 30.469 (26.956)	Prec@5 56.250 (55.564)
Epoch: [1][9600/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 3.1810 (3.1941)	Prec@1 25.000 (26.960)	Prec@5 52.344 (55.568)
Epoch: [1][9610/14090]	Time 0.779 (0.767)	Data 0.001 (0.001)	Loss 3.1723 (3.1940)	Prec@1 25.000 (26.960)	Prec@5 60.938 (55.571)
Epoch: [1][9620/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 2.9901 (3.1940)	Prec@1 28.906 (26.960)	Prec@5 60.938 (55.573)
Epoch: [1][9630/14090]	Time 0.800 (0.767)	Data 0.001 (0.001)	Loss 3.2866 (3.1940)	Prec@1 26.562 (26.961)	Prec@5 50.000 (55.573)
Epoch: [1][9640/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 3.3688 (3.1939)	Prec@1 32.031 (26.963)	Prec@5 53.125 (55.575)
Epoch: [1][9650/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 3.2777 (3.1938)	Prec@1 23.438 (26.966)	Prec@5 48.438 (55.576)
Epoch: [1][9660/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 3.1179 (3.1937)	Prec@1 32.031 (26.968)	Prec@5 55.469 (55.579)
Epoch: [1][9670/14090]	Time 0.765 (0.767)	Data 0.001 (0.001)	Loss 3.3315 (3.1937)	Prec@1 28.125 (26.970)	Prec@5 53.125 (55.580)
Epoch: [1][9680/14090]	Time 0.786 (0.767)	Data 0.001 (0.001)	Loss 2.9970 (3.1936)	Prec@1 31.250 (26.970)	Prec@5 54.688 (55.579)
Epoch: [1][9690/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 3.1605 (3.1935)	Prec@1 24.219 (26.971)	Prec@5 55.469 (55.584)
Epoch: [1][9700/14090]	Time 0.841 (0.767)	Data 0.001 (0.001)	Loss 3.0289 (3.1934)	Prec@1 29.688 (26.973)	Prec@5 62.500 (55.586)
Epoch: [1][9710/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 3.0073 (3.1933)	Prec@1 28.125 (26.975)	Prec@5 59.375 (55.587)
Epoch: [1][9720/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 3.2004 (3.1933)	Prec@1 26.562 (26.977)	Prec@5 53.906 (55.586)
Epoch: [1][9730/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 3.2897 (3.1932)	Prec@1 19.531 (26.978)	Prec@5 54.688 (55.588)
Epoch: [1][9740/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 3.1588 (3.1930)	Prec@1 30.469 (26.981)	Prec@5 53.125 (55.592)
Epoch: [1][9750/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 3.0634 (3.1929)	Prec@1 28.906 (26.982)	Prec@5 60.156 (55.594)
Epoch: [1][9760/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 3.0830 (3.1927)	Prec@1 25.000 (26.984)	Prec@5 57.031 (55.597)
Epoch: [1][9770/14090]	Time 0.775 (0.767)	Data 0.001 (0.001)	Loss 2.9267 (3.1926)	Prec@1 32.812 (26.986)	Prec@5 62.500 (55.601)
Epoch: [1][9780/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 3.0095 (3.1925)	Prec@1 26.562 (26.987)	Prec@5 62.500 (55.604)
Epoch: [1][9790/14090]	Time 0.772 (0.767)	Data 0.001 (0.001)	Loss 3.2269 (3.1925)	Prec@1 27.344 (26.988)	Prec@5 63.281 (55.607)
Epoch: [1][9800/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 3.0309 (3.1923)	Prec@1 23.438 (26.989)	Prec@5 60.938 (55.611)
Epoch: [1][9810/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 3.0794 (3.1922)	Prec@1 28.906 (26.991)	Prec@5 57.812 (55.614)
Epoch: [1][9820/14090]	Time 0.770 (0.767)	Data 0.001 (0.001)	Loss 3.0179 (3.1922)	Prec@1 25.781 (26.993)	Prec@5 57.031 (55.616)
Epoch: [1][9830/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 3.3095 (3.1921)	Prec@1 23.438 (26.992)	Prec@5 55.469 (55.617)
Epoch: [1][9840/14090]	Time 0.823 (0.767)	Data 0.001 (0.001)	Loss 2.7726 (3.1920)	Prec@1 40.625 (26.995)	Prec@5 63.281 (55.620)
Epoch: [1][9850/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 3.4502 (3.1919)	Prec@1 21.875 (26.995)	Prec@5 50.000 (55.620)
Epoch: [1][9860/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 2.8803 (3.1918)	Prec@1 27.344 (26.997)	Prec@5 62.500 (55.623)
Epoch: [1][9870/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 3.4056 (3.1918)	Prec@1 21.875 (26.998)	Prec@5 57.031 (55.624)
Epoch: [1][9880/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 3.1796 (3.1916)	Prec@1 25.781 (27.000)	Prec@5 57.031 (55.626)
Epoch: [1][9890/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 3.3001 (3.1916)	Prec@1 21.875 (27.001)	Prec@5 47.656 (55.626)
Epoch: [1][9900/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 2.9912 (3.1915)	Prec@1 28.125 (27.001)	Prec@5 59.375 (55.628)
Epoch: [1][9910/14090]	Time 0.795 (0.767)	Data 0.001 (0.001)	Loss 3.1806 (3.1914)	Prec@1 23.438 (27.003)	Prec@5 57.812 (55.630)
Epoch: [1][9920/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 3.2563 (3.1913)	Prec@1 27.344 (27.004)	Prec@5 57.031 (55.632)
Epoch: [1][9930/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 3.0277 (3.1912)	Prec@1 25.000 (27.007)	Prec@5 58.594 (55.636)
Epoch: [1][9940/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 3.0644 (3.1911)	Prec@1 27.344 (27.009)	Prec@5 56.250 (55.639)
Epoch: [1][9950/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 3.0828 (3.1910)	Prec@1 32.031 (27.011)	Prec@5 55.469 (55.640)
Epoch: [1][9960/14090]	Time 0.769 (0.767)	Data 0.001 (0.001)	Loss 3.2080 (3.1910)	Prec@1 21.875 (27.011)	Prec@5 54.688 (55.641)
Epoch: [1][9970/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 3.0091 (3.1910)	Prec@1 27.344 (27.012)	Prec@5 61.719 (55.644)
Epoch: [1][9980/14090]	Time 0.797 (0.767)	Data 0.001 (0.001)	Loss 3.1379 (3.1909)	Prec@1 32.031 (27.015)	Prec@5 59.375 (55.645)
Epoch: [1][9990/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 2.8316 (3.1908)	Prec@1 40.625 (27.017)	Prec@5 66.406 (55.646)
Epoch: [1][10000/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 3.0506 (3.1907)	Prec@1 30.469 (27.019)	Prec@5 58.594 (55.650)
Epoch: [1][10010/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 2.9734 (3.1907)	Prec@1 28.906 (27.020)	Prec@5 60.938 (55.650)
Epoch: [1][10020/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 2.9539 (3.1906)	Prec@1 32.812 (27.020)	Prec@5 57.812 (55.652)
Epoch: [1][10030/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 3.1956 (3.1905)	Prec@1 29.688 (27.023)	Prec@5 57.812 (55.654)
Epoch: [1][10040/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 2.9987 (3.1905)	Prec@1 34.375 (27.022)	Prec@5 53.906 (55.655)
Epoch: [1][10050/14090]	Time 0.786 (0.767)	Data 0.001 (0.001)	Loss 3.0727 (3.1904)	Prec@1 24.219 (27.025)	Prec@5 62.500 (55.658)
Epoch: [1][10060/14090]	Time 0.763 (0.767)	Data 0.001 (0.001)	Loss 3.3860 (3.1904)	Prec@1 25.000 (27.025)	Prec@5 50.000 (55.658)
Epoch: [1][10070/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 3.1510 (3.1903)	Prec@1 26.562 (27.026)	Prec@5 57.812 (55.660)
Epoch: [1][10080/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 3.1141 (3.1902)	Prec@1 24.219 (27.027)	Prec@5 54.688 (55.663)
Epoch: [1][10090/14090]	Time 0.763 (0.767)	Data 0.001 (0.001)	Loss 3.1006 (3.1901)	Prec@1 32.031 (27.027)	Prec@5 63.281 (55.664)
Epoch: [1][10100/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 3.3471 (3.1900)	Prec@1 23.438 (27.030)	Prec@5 54.688 (55.666)
Epoch: [1][10110/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 2.9274 (3.1899)	Prec@1 30.469 (27.032)	Prec@5 62.500 (55.669)
Epoch: [1][10120/14090]	Time 0.796 (0.767)	Data 0.001 (0.001)	Loss 3.2254 (3.1899)	Prec@1 26.562 (27.031)	Prec@5 55.469 (55.669)
Epoch: [1][10130/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 3.0189 (3.1897)	Prec@1 27.344 (27.031)	Prec@5 57.031 (55.671)
Epoch: [1][10140/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 3.0138 (3.1897)	Prec@1 31.250 (27.033)	Prec@5 60.156 (55.673)
Epoch: [1][10150/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.8231 (3.1895)	Prec@1 35.938 (27.036)	Prec@5 64.062 (55.677)
Epoch: [1][10160/14090]	Time 0.779 (0.767)	Data 0.001 (0.001)	Loss 3.1561 (3.1894)	Prec@1 29.688 (27.038)	Prec@5 56.250 (55.678)
Epoch: [1][10170/14090]	Time 0.793 (0.767)	Data 0.001 (0.001)	Loss 3.0549 (3.1893)	Prec@1 29.688 (27.041)	Prec@5 58.594 (55.680)
Epoch: [1][10180/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 2.9872 (3.1892)	Prec@1 32.031 (27.042)	Prec@5 63.281 (55.682)
Epoch: [1][10190/14090]	Time 0.764 (0.767)	Data 0.001 (0.001)	Loss 3.2784 (3.1892)	Prec@1 28.906 (27.043)	Prec@5 51.562 (55.683)
Epoch: [1][10200/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.9481 (3.1890)	Prec@1 28.906 (27.045)	Prec@5 62.500 (55.690)
Epoch: [1][10210/14090]	Time 0.764 (0.767)	Data 0.001 (0.001)	Loss 2.9987 (3.1888)	Prec@1 32.812 (27.048)	Prec@5 60.938 (55.693)
Epoch: [1][10220/14090]	Time 0.763 (0.767)	Data 0.001 (0.001)	Loss 2.9684 (3.1888)	Prec@1 32.812 (27.050)	Prec@5 53.906 (55.694)
Epoch: [1][10230/14090]	Time 0.769 (0.767)	Data 0.001 (0.001)	Loss 3.1776 (3.1887)	Prec@1 27.344 (27.051)	Prec@5 60.938 (55.697)
Epoch: [1][10240/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 3.2833 (3.1886)	Prec@1 20.312 (27.053)	Prec@5 53.906 (55.699)
Epoch: [1][10250/14090]	Time 0.768 (0.767)	Data 0.001 (0.001)	Loss 2.7612 (3.1885)	Prec@1 31.250 (27.053)	Prec@5 63.281 (55.701)
Epoch: [1][10260/14090]	Time 0.834 (0.767)	Data 0.001 (0.001)	Loss 3.3151 (3.1884)	Prec@1 22.656 (27.054)	Prec@5 51.562 (55.701)
Epoch: [1][10270/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 3.0912 (3.1884)	Prec@1 23.438 (27.054)	Prec@5 59.375 (55.703)
Epoch: [1][10280/14090]	Time 0.739 (0.767)	Data 0.002 (0.001)	Loss 3.2070 (3.1884)	Prec@1 20.312 (27.053)	Prec@5 55.469 (55.703)
Epoch: [1][10290/14090]	Time 0.774 (0.767)	Data 0.001 (0.001)	Loss 3.0165 (3.1883)	Prec@1 32.031 (27.055)	Prec@5 57.812 (55.704)
Epoch: [1][10300/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 3.0521 (3.1881)	Prec@1 35.156 (27.057)	Prec@5 57.031 (55.706)
Epoch: [1][10310/14090]	Time 0.777 (0.767)	Data 0.001 (0.001)	Loss 2.8411 (3.1879)	Prec@1 36.719 (27.060)	Prec@5 66.406 (55.712)
Epoch: [1][10320/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 3.3403 (3.1879)	Prec@1 29.688 (27.062)	Prec@5 55.469 (55.714)
Epoch: [1][10330/14090]	Time 0.772 (0.767)	Data 0.001 (0.001)	Loss 2.8278 (3.1877)	Prec@1 37.500 (27.064)	Prec@5 63.281 (55.716)
Epoch: [1][10340/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 3.0282 (3.1876)	Prec@1 29.688 (27.065)	Prec@5 63.281 (55.719)
Epoch: [1][10350/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 3.0337 (3.1874)	Prec@1 28.125 (27.068)	Prec@5 57.812 (55.723)
Epoch: [1][10360/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 3.1830 (3.1873)	Prec@1 28.125 (27.071)	Prec@5 56.250 (55.726)
Epoch: [1][10370/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 3.4225 (3.1872)	Prec@1 23.438 (27.074)	Prec@5 52.344 (55.729)
Epoch: [1][10380/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 2.8029 (3.1871)	Prec@1 33.594 (27.075)	Prec@5 65.625 (55.732)
Epoch: [1][10390/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 2.9438 (3.1870)	Prec@1 30.469 (27.077)	Prec@5 63.281 (55.735)
Epoch: [1][10400/14090]	Time 0.855 (0.767)	Data 0.001 (0.001)	Loss 3.0391 (3.1869)	Prec@1 28.906 (27.078)	Prec@5 60.938 (55.736)
Epoch: [1][10410/14090]	Time 0.771 (0.767)	Data 0.001 (0.001)	Loss 3.0843 (3.1868)	Prec@1 27.344 (27.081)	Prec@5 59.375 (55.738)
Epoch: [1][10420/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 3.2191 (3.1867)	Prec@1 27.344 (27.084)	Prec@5 53.906 (55.741)
Epoch: [1][10430/14090]	Time 0.725 (0.767)	Data 0.001 (0.001)	Loss 3.0816 (3.1866)	Prec@1 31.250 (27.087)	Prec@5 57.031 (55.743)
Epoch: [1][10440/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 2.8490 (3.1864)	Prec@1 33.594 (27.090)	Prec@5 64.062 (55.746)
Epoch: [1][10450/14090]	Time 0.724 (0.767)	Data 0.001 (0.001)	Loss 3.0887 (3.1863)	Prec@1 26.562 (27.092)	Prec@5 60.156 (55.748)
Epoch: [1][10460/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 3.3647 (3.1862)	Prec@1 28.125 (27.093)	Prec@5 53.125 (55.750)
Epoch: [1][10470/14090]	Time 0.827 (0.767)	Data 0.001 (0.001)	Loss 3.0314 (3.1861)	Prec@1 32.031 (27.094)	Prec@5 61.719 (55.753)
Epoch: [1][10480/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 3.2151 (3.1861)	Prec@1 22.656 (27.096)	Prec@5 53.906 (55.754)
Epoch: [1][10490/14090]	Time 0.789 (0.767)	Data 0.001 (0.001)	Loss 3.1376 (3.1861)	Prec@1 31.250 (27.098)	Prec@5 55.469 (55.754)
Epoch: [1][10500/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 3.1201 (3.1860)	Prec@1 30.469 (27.098)	Prec@5 56.250 (55.755)
Epoch: [1][10510/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 3.0863 (3.1859)	Prec@1 25.000 (27.101)	Prec@5 58.594 (55.758)
Epoch: [1][10520/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 3.0676 (3.1857)	Prec@1 33.594 (27.104)	Prec@5 60.156 (55.762)
Epoch: [1][10530/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 3.1931 (3.1856)	Prec@1 28.125 (27.107)	Prec@5 53.906 (55.765)
Epoch: [1][10540/14090]	Time 0.938 (0.767)	Data 0.001 (0.001)	Loss 3.1840 (3.1855)	Prec@1 28.125 (27.108)	Prec@5 56.250 (55.766)
Epoch: [1][10550/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 3.1172 (3.1853)	Prec@1 25.781 (27.111)	Prec@5 57.812 (55.770)
Epoch: [1][10560/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 3.2924 (3.1853)	Prec@1 25.000 (27.111)	Prec@5 57.031 (55.771)
Epoch: [1][10570/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 3.4156 (3.1852)	Prec@1 27.344 (27.113)	Prec@5 45.312 (55.771)
Epoch: [1][10580/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 2.7986 (3.1851)	Prec@1 33.594 (27.114)	Prec@5 64.062 (55.774)
Epoch: [1][10590/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 3.1782 (3.1850)	Prec@1 30.469 (27.118)	Prec@5 52.344 (55.776)
Epoch: [1][10600/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 3.3098 (3.1849)	Prec@1 27.344 (27.119)	Prec@5 53.906 (55.778)
Epoch: [1][10610/14090]	Time 0.825 (0.767)	Data 0.001 (0.001)	Loss 3.1248 (3.1849)	Prec@1 25.781 (27.118)	Prec@5 59.375 (55.780)
Epoch: [1][10620/14090]	Time 0.774 (0.767)	Data 0.001 (0.001)	Loss 3.2967 (3.1848)	Prec@1 31.250 (27.118)	Prec@5 56.250 (55.781)
Epoch: [1][10630/14090]	Time 0.782 (0.767)	Data 0.001 (0.001)	Loss 3.1127 (3.1848)	Prec@1 23.438 (27.117)	Prec@5 52.344 (55.783)
Epoch: [1][10640/14090]	Time 0.723 (0.767)	Data 0.003 (0.001)	Loss 3.1112 (3.1847)	Prec@1 25.781 (27.116)	Prec@5 57.812 (55.784)
Epoch: [1][10650/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 2.8450 (3.1846)	Prec@1 32.031 (27.117)	Prec@5 63.281 (55.787)
Epoch: [1][10660/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 3.0205 (3.1845)	Prec@1 29.688 (27.118)	Prec@5 58.594 (55.788)
Epoch: [1][10670/14090]	Time 0.766 (0.767)	Data 0.001 (0.001)	Loss 3.0629 (3.1844)	Prec@1 22.656 (27.118)	Prec@5 59.375 (55.791)
Epoch: [1][10680/14090]	Time 0.783 (0.767)	Data 0.001 (0.001)	Loss 2.9234 (3.1843)	Prec@1 26.562 (27.121)	Prec@5 61.719 (55.793)
Epoch: [1][10690/14090]	Time 0.763 (0.767)	Data 0.001 (0.001)	Loss 3.2719 (3.1842)	Prec@1 28.125 (27.123)	Prec@5 50.781 (55.795)
Epoch: [1][10700/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 2.8294 (3.1841)	Prec@1 32.031 (27.126)	Prec@5 61.719 (55.797)
Epoch: [1][10710/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 3.1693 (3.1841)	Prec@1 25.781 (27.127)	Prec@5 56.250 (55.799)
Epoch: [1][10720/14090]	Time 0.780 (0.767)	Data 0.001 (0.001)	Loss 3.0636 (3.1840)	Prec@1 28.906 (27.129)	Prec@5 63.281 (55.802)
Epoch: [1][10730/14090]	Time 0.779 (0.767)	Data 0.001 (0.001)	Loss 3.1343 (3.1839)	Prec@1 20.312 (27.131)	Prec@5 57.031 (55.805)
Epoch: [1][10740/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 3.1084 (3.1837)	Prec@1 32.812 (27.133)	Prec@5 58.594 (55.809)
Epoch: [1][10750/14090]	Time 0.778 (0.767)	Data 0.001 (0.001)	Loss 2.9975 (3.1836)	Prec@1 30.469 (27.134)	Prec@5 57.031 (55.811)
Epoch: [1][10760/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 2.9773 (3.1834)	Prec@1 30.469 (27.136)	Prec@5 64.062 (55.816)
Epoch: [1][10770/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 3.1818 (3.1834)	Prec@1 30.469 (27.138)	Prec@5 59.375 (55.818)
Epoch: [1][10780/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 3.2422 (3.1832)	Prec@1 28.125 (27.139)	Prec@5 55.469 (55.821)
Epoch: [1][10790/14090]	Time 0.775 (0.767)	Data 0.001 (0.001)	Loss 3.0245 (3.1831)	Prec@1 32.812 (27.140)	Prec@5 60.156 (55.823)
Epoch: [1][10800/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 3.0826 (3.1830)	Prec@1 25.781 (27.143)	Prec@5 57.812 (55.827)
Epoch: [1][10810/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 3.0330 (3.1829)	Prec@1 26.562 (27.143)	Prec@5 65.625 (55.829)
Epoch: [1][10820/14090]	Time 0.838 (0.767)	Data 0.001 (0.001)	Loss 2.8551 (3.1828)	Prec@1 34.375 (27.145)	Prec@5 64.844 (55.831)
Epoch: [1][10830/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 3.0282 (3.1827)	Prec@1 32.031 (27.146)	Prec@5 56.250 (55.834)
Epoch: [1][10840/14090]	Time 0.771 (0.767)	Data 0.001 (0.001)	Loss 2.8013 (3.1826)	Prec@1 35.156 (27.148)	Prec@5 63.281 (55.836)
Epoch: [1][10850/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 3.2669 (3.1825)	Prec@1 26.562 (27.151)	Prec@5 50.781 (55.838)
Epoch: [1][10860/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 3.0520 (3.1824)	Prec@1 32.031 (27.153)	Prec@5 56.250 (55.840)
Epoch: [1][10870/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 3.2361 (3.1823)	Prec@1 29.688 (27.156)	Prec@5 50.781 (55.841)
Epoch: [1][10880/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 2.8957 (3.1821)	Prec@1 30.469 (27.159)	Prec@5 61.719 (55.844)
Epoch: [1][10890/14090]	Time 0.849 (0.767)	Data 0.001 (0.001)	Loss 3.2131 (3.1821)	Prec@1 25.000 (27.157)	Prec@5 57.812 (55.843)
Epoch: [1][10900/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 3.0833 (3.1820)	Prec@1 31.250 (27.159)	Prec@5 60.156 (55.844)
Epoch: [1][10910/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 2.7869 (3.1819)	Prec@1 39.062 (27.162)	Prec@5 66.406 (55.849)
Epoch: [1][10920/14090]	Time 0.770 (0.767)	Data 0.002 (0.001)	Loss 3.1555 (3.1818)	Prec@1 28.125 (27.163)	Prec@5 59.375 (55.851)
Epoch: [1][10930/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 3.2389 (3.1818)	Prec@1 22.656 (27.162)	Prec@5 52.344 (55.851)
Epoch: [1][10940/14090]	Time 0.724 (0.767)	Data 0.001 (0.001)	Loss 3.0559 (3.1817)	Prec@1 28.125 (27.165)	Prec@5 60.938 (55.853)
Epoch: [1][10950/14090]	Time 0.765 (0.767)	Data 0.001 (0.001)	Loss 3.1360 (3.1816)	Prec@1 25.000 (27.167)	Prec@5 59.375 (55.856)
Epoch: [1][10960/14090]	Time 0.977 (0.767)	Data 0.001 (0.001)	Loss 3.0205 (3.1814)	Prec@1 32.812 (27.172)	Prec@5 62.500 (55.860)
Epoch: [1][10970/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 2.8769 (3.1813)	Prec@1 28.906 (27.173)	Prec@5 60.156 (55.863)
Epoch: [1][10980/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 3.1971 (3.1812)	Prec@1 27.344 (27.172)	Prec@5 55.469 (55.866)
Epoch: [1][10990/14090]	Time 0.780 (0.767)	Data 0.001 (0.001)	Loss 2.8350 (3.1810)	Prec@1 36.719 (27.175)	Prec@5 65.625 (55.869)
Epoch: [1][11000/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 3.0289 (3.1809)	Prec@1 32.812 (27.177)	Prec@5 54.688 (55.872)
Epoch: [1][11010/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 3.2772 (3.1807)	Prec@1 27.344 (27.179)	Prec@5 53.906 (55.874)
Epoch: [1][11020/14090]	Time 0.765 (0.767)	Data 0.001 (0.001)	Loss 3.2312 (3.1807)	Prec@1 27.344 (27.179)	Prec@5 60.938 (55.876)
Epoch: [1][11030/14090]	Time 0.817 (0.767)	Data 0.001 (0.001)	Loss 2.9061 (3.1806)	Prec@1 30.469 (27.180)	Prec@5 64.844 (55.879)
Epoch: [1][11040/14090]	Time 0.778 (0.767)	Data 0.001 (0.001)	Loss 3.2774 (3.1805)	Prec@1 26.562 (27.182)	Prec@5 50.000 (55.879)
Epoch: [1][11050/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 3.2228 (3.1805)	Prec@1 21.875 (27.183)	Prec@5 57.812 (55.880)
Epoch: [1][11060/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 3.0324 (3.1804)	Prec@1 27.344 (27.183)	Prec@5 55.469 (55.882)
Epoch: [1][11070/14090]	Time 0.763 (0.767)	Data 0.001 (0.001)	Loss 3.3636 (3.1803)	Prec@1 25.000 (27.184)	Prec@5 56.250 (55.884)
Epoch: [1][11080/14090]	Time 0.755 (0.767)	Data 0.002 (0.001)	Loss 3.0504 (3.1802)	Prec@1 35.156 (27.186)	Prec@5 59.375 (55.886)
Epoch: [1][11090/14090]	Time 0.778 (0.767)	Data 0.001 (0.001)	Loss 3.0381 (3.1802)	Prec@1 32.031 (27.187)	Prec@5 57.031 (55.886)
Epoch: [1][11100/14090]	Time 0.853 (0.767)	Data 0.001 (0.001)	Loss 3.3715 (3.1801)	Prec@1 22.656 (27.190)	Prec@5 49.219 (55.886)
Epoch: [1][11110/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 3.0014 (3.1801)	Prec@1 28.125 (27.191)	Prec@5 54.688 (55.886)
Epoch: [1][11120/14090]	Time 0.765 (0.767)	Data 0.001 (0.001)	Loss 2.9998 (3.1799)	Prec@1 28.125 (27.194)	Prec@5 59.375 (55.890)
Epoch: [1][11130/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 3.1812 (3.1798)	Prec@1 28.125 (27.195)	Prec@5 57.031 (55.891)
Epoch: [1][11140/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 3.0911 (3.1797)	Prec@1 31.250 (27.195)	Prec@5 55.469 (55.892)
Epoch: [1][11150/14090]	Time 0.795 (0.767)	Data 0.001 (0.001)	Loss 2.9724 (3.1797)	Prec@1 28.906 (27.196)	Prec@5 62.500 (55.894)
Epoch: [1][11160/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 2.9169 (3.1795)	Prec@1 28.125 (27.197)	Prec@5 65.625 (55.897)
Epoch: [1][11170/14090]	Time 0.852 (0.767)	Data 0.001 (0.001)	Loss 3.1029 (3.1794)	Prec@1 27.344 (27.198)	Prec@5 60.938 (55.900)
Epoch: [1][11180/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 3.0979 (3.1794)	Prec@1 23.438 (27.198)	Prec@5 57.812 (55.900)
Epoch: [1][11190/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 3.2056 (3.1793)	Prec@1 26.562 (27.200)	Prec@5 53.906 (55.902)
Epoch: [1][11200/14090]	Time 0.759 (0.767)	Data 0.002 (0.001)	Loss 3.0635 (3.1792)	Prec@1 28.125 (27.202)	Prec@5 63.281 (55.905)
Epoch: [1][11210/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 3.2415 (3.1792)	Prec@1 26.562 (27.203)	Prec@5 55.469 (55.906)
Epoch: [1][11220/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 3.1465 (3.1791)	Prec@1 22.656 (27.205)	Prec@5 55.469 (55.907)
Epoch: [1][11230/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 3.1019 (3.1790)	Prec@1 21.875 (27.206)	Prec@5 60.156 (55.909)
Epoch: [1][11240/14090]	Time 0.946 (0.767)	Data 0.001 (0.001)	Loss 3.1461 (3.1789)	Prec@1 24.219 (27.207)	Prec@5 57.031 (55.911)
Epoch: [1][11250/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 3.0597 (3.1789)	Prec@1 32.031 (27.209)	Prec@5 60.938 (55.913)
Epoch: [1][11260/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 3.0027 (3.1787)	Prec@1 28.125 (27.212)	Prec@5 60.938 (55.915)
Epoch: [1][11270/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 3.1811 (3.1786)	Prec@1 29.688 (27.212)	Prec@5 55.469 (55.918)
Epoch: [1][11280/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 3.0963 (3.1786)	Prec@1 27.344 (27.215)	Prec@5 58.594 (55.920)
Epoch: [1][11290/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 3.1822 (3.1786)	Prec@1 28.125 (27.214)	Prec@5 54.688 (55.919)
Epoch: [1][11300/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 3.0501 (3.1786)	Prec@1 33.594 (27.215)	Prec@5 58.594 (55.919)
Epoch: [1][11310/14090]	Time 0.784 (0.767)	Data 0.001 (0.001)	Loss 3.2291 (3.1786)	Prec@1 25.781 (27.214)	Prec@5 53.906 (55.919)
Epoch: [1][11320/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 3.0490 (3.1784)	Prec@1 24.219 (27.219)	Prec@5 56.250 (55.923)
Epoch: [1][11330/14090]	Time 0.767 (0.767)	Data 0.001 (0.001)	Loss 3.0985 (3.1783)	Prec@1 32.812 (27.220)	Prec@5 53.906 (55.925)
Epoch: [1][11340/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 3.3016 (3.1783)	Prec@1 27.344 (27.220)	Prec@5 57.812 (55.924)
Epoch: [1][11350/14090]	Time 0.782 (0.767)	Data 0.001 (0.001)	Loss 3.1395 (3.1782)	Prec@1 28.906 (27.221)	Prec@5 56.250 (55.926)
Epoch: [1][11360/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 3.0976 (3.1782)	Prec@1 22.656 (27.222)	Prec@5 56.250 (55.927)
Epoch: [1][11370/14090]	Time 0.773 (0.767)	Data 0.001 (0.001)	Loss 3.0462 (3.1781)	Prec@1 28.125 (27.224)	Prec@5 57.812 (55.928)
Epoch: [1][11380/14090]	Time 0.959 (0.767)	Data 0.001 (0.001)	Loss 3.3279 (3.1780)	Prec@1 25.781 (27.227)	Prec@5 53.125 (55.930)
Epoch: [1][11390/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 3.0009 (3.1779)	Prec@1 31.250 (27.229)	Prec@5 60.156 (55.931)
Epoch: [1][11400/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 3.0014 (3.1778)	Prec@1 31.250 (27.232)	Prec@5 59.375 (55.934)
Epoch: [1][11410/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 3.0226 (3.1776)	Prec@1 34.375 (27.235)	Prec@5 57.812 (55.937)
Epoch: [1][11420/14090]	Time 0.763 (0.767)	Data 0.001 (0.001)	Loss 2.9728 (3.1776)	Prec@1 32.031 (27.235)	Prec@5 60.938 (55.940)
Epoch: [1][11430/14090]	Time 0.763 (0.767)	Data 0.001 (0.001)	Loss 3.1428 (3.1774)	Prec@1 25.781 (27.237)	Prec@5 57.031 (55.943)
Epoch: [1][11440/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 2.9273 (3.1774)	Prec@1 32.812 (27.238)	Prec@5 57.812 (55.943)
Epoch: [1][11450/14090]	Time 0.808 (0.767)	Data 0.001 (0.001)	Loss 3.0925 (3.1772)	Prec@1 32.812 (27.240)	Prec@5 53.906 (55.945)
Epoch: [1][11460/14090]	Time 0.766 (0.767)	Data 0.001 (0.001)	Loss 3.1670 (3.1771)	Prec@1 28.906 (27.242)	Prec@5 57.812 (55.947)
Epoch: [1][11470/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 3.2916 (3.1770)	Prec@1 25.000 (27.242)	Prec@5 53.906 (55.948)
Epoch: [1][11480/14090]	Time 0.726 (0.767)	Data 0.001 (0.001)	Loss 3.0863 (3.1769)	Prec@1 25.000 (27.243)	Prec@5 60.156 (55.952)
Epoch: [1][11490/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 3.2986 (3.1768)	Prec@1 22.656 (27.244)	Prec@5 57.031 (55.953)
Epoch: [1][11500/14090]	Time 0.798 (0.767)	Data 0.001 (0.001)	Loss 3.0819 (3.1768)	Prec@1 28.125 (27.246)	Prec@5 55.469 (55.955)
Epoch: [1][11510/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 3.0911 (3.1767)	Prec@1 29.688 (27.247)	Prec@5 57.031 (55.956)
Epoch: [1][11520/14090]	Time 0.813 (0.767)	Data 0.001 (0.001)	Loss 3.0122 (3.1766)	Prec@1 32.031 (27.248)	Prec@5 60.938 (55.957)
Epoch: [1][11530/14090]	Time 0.755 (0.767)	Data 0.002 (0.001)	Loss 3.1884 (3.1765)	Prec@1 28.125 (27.249)	Prec@5 50.781 (55.958)
Epoch: [1][11540/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 2.9620 (3.1764)	Prec@1 25.781 (27.250)	Prec@5 58.594 (55.961)
Epoch: [1][11550/14090]	Time 0.777 (0.767)	Data 0.001 (0.001)	Loss 2.5453 (3.1762)	Prec@1 42.969 (27.253)	Prec@5 67.969 (55.964)
Epoch: [1][11560/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 2.9566 (3.1761)	Prec@1 28.125 (27.256)	Prec@5 64.062 (55.968)
Epoch: [1][11570/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 3.2594 (3.1760)	Prec@1 25.000 (27.259)	Prec@5 50.781 (55.969)
Epoch: [1][11580/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 3.2696 (3.1759)	Prec@1 32.031 (27.260)	Prec@5 56.250 (55.971)
Epoch: [1][11590/14090]	Time 0.821 (0.767)	Data 0.001 (0.001)	Loss 3.1557 (3.1758)	Prec@1 27.344 (27.261)	Prec@5 60.156 (55.973)
Epoch: [1][11600/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 2.9069 (3.1757)	Prec@1 33.594 (27.262)	Prec@5 58.594 (55.975)
Epoch: [1][11610/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.9092 (3.1757)	Prec@1 35.156 (27.263)	Prec@5 58.594 (55.976)
Epoch: [1][11620/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 2.7745 (3.1757)	Prec@1 32.031 (27.264)	Prec@5 65.625 (55.978)
Epoch: [1][11630/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 2.9939 (3.1756)	Prec@1 25.781 (27.265)	Prec@5 60.156 (55.980)
Epoch: [1][11640/14090]	Time 0.790 (0.767)	Data 0.001 (0.001)	Loss 3.1515 (3.1754)	Prec@1 25.000 (27.269)	Prec@5 56.250 (55.982)
Epoch: [1][11650/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 2.9954 (3.1754)	Prec@1 32.812 (27.270)	Prec@5 53.906 (55.982)
Epoch: [1][11660/14090]	Time 0.818 (0.767)	Data 0.001 (0.001)	Loss 2.7514 (3.1753)	Prec@1 31.250 (27.270)	Prec@5 61.719 (55.985)
Epoch: [1][11670/14090]	Time 0.772 (0.767)	Data 0.001 (0.001)	Loss 2.7450 (3.1752)	Prec@1 31.250 (27.271)	Prec@5 62.500 (55.986)
Epoch: [1][11680/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 3.3723 (3.1751)	Prec@1 24.219 (27.273)	Prec@5 53.906 (55.987)
Epoch: [1][11690/14090]	Time 0.770 (0.767)	Data 0.001 (0.001)	Loss 3.0839 (3.1751)	Prec@1 28.125 (27.274)	Prec@5 57.812 (55.989)
Epoch: [1][11700/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 2.9433 (3.1750)	Prec@1 27.344 (27.275)	Prec@5 57.031 (55.989)
Epoch: [1][11710/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 3.1446 (3.1750)	Prec@1 29.688 (27.275)	Prec@5 52.344 (55.989)
Epoch: [1][11720/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 3.0070 (3.1749)	Prec@1 32.812 (27.277)	Prec@5 56.250 (55.992)
Epoch: [1][11730/14090]	Time 0.941 (0.767)	Data 0.001 (0.001)	Loss 2.7747 (3.1748)	Prec@1 35.938 (27.279)	Prec@5 63.281 (55.995)
Epoch: [1][11740/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 3.1535 (3.1748)	Prec@1 30.469 (27.277)	Prec@5 57.031 (55.996)
Epoch: [1][11750/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 2.8445 (3.1747)	Prec@1 32.031 (27.281)	Prec@5 60.156 (55.997)
Epoch: [1][11760/14090]	Time 0.789 (0.767)	Data 0.001 (0.001)	Loss 3.3854 (3.1746)	Prec@1 22.656 (27.282)	Prec@5 49.219 (55.997)
Epoch: [1][11770/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 3.2248 (3.1745)	Prec@1 23.438 (27.283)	Prec@5 54.688 (56.000)
Epoch: [1][11780/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 2.9103 (3.1744)	Prec@1 32.812 (27.286)	Prec@5 63.281 (56.003)
Epoch: [1][11790/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 2.8262 (3.1742)	Prec@1 30.469 (27.288)	Prec@5 63.281 (56.006)
Epoch: [1][11800/14090]	Time 0.845 (0.767)	Data 0.001 (0.001)	Loss 3.0335 (3.1741)	Prec@1 30.469 (27.291)	Prec@5 52.344 (56.009)
Epoch: [1][11810/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 2.7547 (3.1741)	Prec@1 35.938 (27.292)	Prec@5 62.500 (56.011)
Epoch: [1][11820/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 3.0065 (3.1740)	Prec@1 30.469 (27.294)	Prec@5 60.938 (56.012)
Epoch: [1][11830/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 2.7468 (3.1738)	Prec@1 36.719 (27.297)	Prec@5 62.500 (56.015)
Epoch: [1][11840/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 3.2077 (3.1737)	Prec@1 21.094 (27.298)	Prec@5 54.688 (56.017)
Epoch: [1][11850/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 3.2440 (3.1737)	Prec@1 21.875 (27.298)	Prec@5 49.219 (56.018)
Epoch: [1][11860/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 3.2299 (3.1736)	Prec@1 22.656 (27.298)	Prec@5 53.906 (56.021)
Epoch: [1][11870/14090]	Time 0.805 (0.767)	Data 0.001 (0.001)	Loss 3.2449 (3.1735)	Prec@1 24.219 (27.299)	Prec@5 54.688 (56.023)
Epoch: [1][11880/14090]	Time 0.725 (0.767)	Data 0.001 (0.001)	Loss 3.0884 (3.1734)	Prec@1 31.250 (27.301)	Prec@5 57.812 (56.025)
Epoch: [1][11890/14090]	Time 0.765 (0.767)	Data 0.002 (0.001)	Loss 3.0124 (3.1733)	Prec@1 33.594 (27.303)	Prec@5 60.938 (56.026)
Epoch: [1][11900/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 3.2100 (3.1732)	Prec@1 28.125 (27.304)	Prec@5 55.469 (56.027)
Epoch: [1][11910/14090]	Time 0.767 (0.767)	Data 0.001 (0.001)	Loss 2.8707 (3.1731)	Prec@1 35.156 (27.307)	Prec@5 60.938 (56.029)
Epoch: [1][11920/14090]	Time 0.804 (0.767)	Data 0.001 (0.001)	Loss 3.3128 (3.1730)	Prec@1 19.531 (27.308)	Prec@5 51.562 (56.031)
Epoch: [1][11930/14090]	Time 0.772 (0.767)	Data 0.001 (0.001)	Loss 2.9508 (3.1730)	Prec@1 35.938 (27.310)	Prec@5 61.719 (56.033)
Epoch: [1][11940/14090]	Time 0.910 (0.767)	Data 0.001 (0.001)	Loss 3.0559 (3.1729)	Prec@1 25.000 (27.311)	Prec@5 59.375 (56.035)
Epoch: [1][11950/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 3.1420 (3.1729)	Prec@1 30.469 (27.310)	Prec@5 57.812 (56.035)
Epoch: [1][11960/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 2.9990 (3.1728)	Prec@1 29.688 (27.312)	Prec@5 60.156 (56.038)
Epoch: [1][11970/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 2.9164 (3.1727)	Prec@1 30.469 (27.314)	Prec@5 61.719 (56.039)
Epoch: [1][11980/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 3.3210 (3.1727)	Prec@1 21.094 (27.314)	Prec@5 50.000 (56.039)
Epoch: [1][11990/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 3.1684 (3.1726)	Prec@1 31.250 (27.316)	Prec@5 56.250 (56.040)
Epoch: [1][12000/14090]	Time 0.767 (0.767)	Data 0.001 (0.001)	Loss 3.0659 (3.1725)	Prec@1 26.562 (27.318)	Prec@5 55.469 (56.043)
Epoch: [1][12010/14090]	Time 0.778 (0.767)	Data 0.001 (0.001)	Loss 3.0368 (3.1724)	Prec@1 29.688 (27.318)	Prec@5 64.062 (56.044)
Epoch: [1][12020/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 2.7982 (3.1723)	Prec@1 34.375 (27.319)	Prec@5 60.938 (56.046)
Epoch: [1][12030/14090]	Time 0.757 (0.767)	Data 0.002 (0.001)	Loss 2.9066 (3.1722)	Prec@1 31.250 (27.321)	Prec@5 60.156 (56.048)
Epoch: [1][12040/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 2.8790 (3.1721)	Prec@1 38.281 (27.323)	Prec@5 67.188 (56.052)
Epoch: [1][12050/14090]	Time 0.772 (0.767)	Data 0.001 (0.001)	Loss 3.4529 (3.1721)	Prec@1 23.438 (27.324)	Prec@5 56.250 (56.052)
Epoch: [1][12060/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 2.8595 (3.1720)	Prec@1 39.062 (27.328)	Prec@5 62.500 (56.055)
Epoch: [1][12070/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 2.9338 (3.1719)	Prec@1 28.125 (27.329)	Prec@5 60.938 (56.056)
Epoch: [1][12080/14090]	Time 0.817 (0.767)	Data 0.001 (0.001)	Loss 3.1725 (3.1718)	Prec@1 30.469 (27.330)	Prec@5 55.469 (56.056)
Epoch: [1][12090/14090]	Time 0.767 (0.767)	Data 0.001 (0.001)	Loss 2.9902 (3.1718)	Prec@1 32.812 (27.331)	Prec@5 64.062 (56.058)
Epoch: [1][12100/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 2.9928 (3.1717)	Prec@1 37.500 (27.332)	Prec@5 62.500 (56.060)
Epoch: [1][12110/14090]	Time 0.769 (0.767)	Data 0.001 (0.001)	Loss 2.9689 (3.1717)	Prec@1 30.469 (27.332)	Prec@5 62.500 (56.060)
Epoch: [1][12120/14090]	Time 0.767 (0.767)	Data 0.001 (0.001)	Loss 3.0102 (3.1716)	Prec@1 32.812 (27.335)	Prec@5 55.469 (56.062)
Epoch: [1][12130/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 3.0018 (3.1715)	Prec@1 28.125 (27.338)	Prec@5 57.031 (56.065)
Epoch: [1][12140/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 3.1512 (3.1714)	Prec@1 25.781 (27.339)	Prec@5 59.375 (56.067)
Epoch: [1][12150/14090]	Time 0.769 (0.767)	Data 0.001 (0.001)	Loss 2.8622 (3.1713)	Prec@1 35.938 (27.341)	Prec@5 60.938 (56.069)
Epoch: [1][12160/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 3.1145 (3.1712)	Prec@1 36.719 (27.343)	Prec@5 58.594 (56.070)
Epoch: [1][12170/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 2.8650 (3.1711)	Prec@1 38.281 (27.344)	Prec@5 65.625 (56.072)
Epoch: [1][12180/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 3.0073 (3.1710)	Prec@1 30.469 (27.346)	Prec@5 57.031 (56.075)
Epoch: [1][12190/14090]	Time 0.770 (0.767)	Data 0.001 (0.001)	Loss 3.0026 (3.1709)	Prec@1 32.031 (27.348)	Prec@5 60.156 (56.078)
Epoch: [1][12200/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 3.0842 (3.1709)	Prec@1 25.000 (27.348)	Prec@5 60.938 (56.078)
Epoch: [1][12210/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 2.7910 (3.1708)	Prec@1 29.688 (27.351)	Prec@5 67.969 (56.083)
Epoch: [1][12220/14090]	Time 0.775 (0.767)	Data 0.001 (0.001)	Loss 3.0880 (3.1707)	Prec@1 22.656 (27.352)	Prec@5 58.594 (56.083)
Epoch: [1][12230/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.9471 (3.1706)	Prec@1 33.594 (27.354)	Prec@5 65.625 (56.086)
Epoch: [1][12240/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 3.2515 (3.1705)	Prec@1 33.594 (27.354)	Prec@5 49.219 (56.087)
Epoch: [1][12250/14090]	Time 0.733 (0.767)	Data 0.002 (0.001)	Loss 3.2493 (3.1703)	Prec@1 28.906 (27.357)	Prec@5 52.344 (56.089)
Epoch: [1][12260/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 3.1891 (3.1702)	Prec@1 22.656 (27.359)	Prec@5 53.906 (56.092)
Epoch: [1][12270/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 2.9886 (3.1702)	Prec@1 33.594 (27.361)	Prec@5 56.250 (56.092)
Epoch: [1][12280/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 3.2812 (3.1701)	Prec@1 18.750 (27.362)	Prec@5 51.562 (56.093)
Epoch: [1][12290/14090]	Time 0.770 (0.767)	Data 0.001 (0.001)	Loss 2.9814 (3.1700)	Prec@1 28.125 (27.364)	Prec@5 60.938 (56.095)
Epoch: [1][12300/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 2.6575 (3.1699)	Prec@1 33.594 (27.366)	Prec@5 68.750 (56.097)
Epoch: [1][12310/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 3.2190 (3.1698)	Prec@1 26.562 (27.367)	Prec@5 58.594 (56.099)
Epoch: [1][12320/14090]	Time 0.781 (0.767)	Data 0.001 (0.001)	Loss 2.9701 (3.1697)	Prec@1 28.906 (27.370)	Prec@5 60.938 (56.103)
Epoch: [1][12330/14090]	Time 0.784 (0.767)	Data 0.001 (0.001)	Loss 3.0319 (3.1696)	Prec@1 24.219 (27.371)	Prec@5 64.062 (56.105)
Epoch: [1][12340/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 3.2032 (3.1695)	Prec@1 25.781 (27.373)	Prec@5 57.031 (56.106)
Epoch: [1][12350/14090]	Time 0.774 (0.767)	Data 0.001 (0.001)	Loss 3.0956 (3.1695)	Prec@1 27.344 (27.374)	Prec@5 58.594 (56.106)
Epoch: [1][12360/14090]	Time 0.798 (0.767)	Data 0.001 (0.001)	Loss 2.8914 (3.1694)	Prec@1 32.031 (27.376)	Prec@5 53.125 (56.108)
Epoch: [1][12370/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.9725 (3.1693)	Prec@1 34.375 (27.377)	Prec@5 58.594 (56.110)
Epoch: [1][12380/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 2.6519 (3.1691)	Prec@1 32.031 (27.380)	Prec@5 67.969 (56.114)
Epoch: [1][12390/14090]	Time 0.762 (0.767)	Data 0.002 (0.001)	Loss 2.9715 (3.1691)	Prec@1 28.125 (27.381)	Prec@5 57.812 (56.116)
Epoch: [1][12400/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 3.0473 (3.1690)	Prec@1 30.469 (27.382)	Prec@5 59.375 (56.120)
Epoch: [1][12410/14090]	Time 0.765 (0.767)	Data 0.001 (0.001)	Loss 2.8691 (3.1689)	Prec@1 37.500 (27.383)	Prec@5 63.281 (56.122)
Epoch: [1][12420/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 3.0982 (3.1688)	Prec@1 29.688 (27.385)	Prec@5 56.250 (56.124)
Epoch: [1][12430/14090]	Time 0.833 (0.767)	Data 0.001 (0.001)	Loss 3.3881 (3.1687)	Prec@1 29.688 (27.387)	Prec@5 51.562 (56.127)
Epoch: [1][12440/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 3.0381 (3.1685)	Prec@1 28.906 (27.389)	Prec@5 60.938 (56.130)
Epoch: [1][12450/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 3.0979 (3.1684)	Prec@1 32.031 (27.392)	Prec@5 54.688 (56.134)
Epoch: [1][12460/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 3.2802 (3.1684)	Prec@1 28.906 (27.392)	Prec@5 55.469 (56.135)
Epoch: [1][12470/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 3.1683 (3.1683)	Prec@1 26.562 (27.393)	Prec@5 60.156 (56.137)
Epoch: [1][12480/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 3.1917 (3.1682)	Prec@1 32.031 (27.394)	Prec@5 50.781 (56.139)
Epoch: [1][12490/14090]	Time 0.771 (0.767)	Data 0.001 (0.001)	Loss 3.0382 (3.1681)	Prec@1 32.031 (27.395)	Prec@5 54.688 (56.141)
Epoch: [1][12500/14090]	Time 0.824 (0.767)	Data 0.001 (0.001)	Loss 3.0626 (3.1681)	Prec@1 29.688 (27.396)	Prec@5 60.156 (56.142)
Epoch: [1][12510/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 2.8979 (3.1680)	Prec@1 32.031 (27.398)	Prec@5 60.938 (56.144)
Epoch: [1][12520/14090]	Time 0.778 (0.767)	Data 0.002 (0.001)	Loss 3.0977 (3.1680)	Prec@1 33.594 (27.398)	Prec@5 60.938 (56.145)
Epoch: [1][12530/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 3.0085 (3.1680)	Prec@1 27.344 (27.399)	Prec@5 57.031 (56.144)
Epoch: [1][12540/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 2.9201 (3.1679)	Prec@1 35.156 (27.402)	Prec@5 58.594 (56.146)
Epoch: [1][12550/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 3.0610 (3.1678)	Prec@1 28.906 (27.403)	Prec@5 60.938 (56.148)
Epoch: [1][12560/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 3.0306 (3.1677)	Prec@1 28.906 (27.404)	Prec@5 55.469 (56.150)
Epoch: [1][12570/14090]	Time 0.802 (0.767)	Data 0.001 (0.001)	Loss 3.0923 (3.1676)	Prec@1 28.125 (27.405)	Prec@5 56.250 (56.153)
Epoch: [1][12580/14090]	Time 0.763 (0.767)	Data 0.001 (0.001)	Loss 2.9798 (3.1675)	Prec@1 32.812 (27.407)	Prec@5 60.938 (56.154)
Epoch: [1][12590/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 2.8646 (3.1673)	Prec@1 32.031 (27.408)	Prec@5 62.500 (56.157)
Epoch: [1][12600/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 3.0976 (3.1673)	Prec@1 23.438 (27.408)	Prec@5 57.812 (56.158)
Epoch: [1][12610/14090]	Time 0.767 (0.767)	Data 0.001 (0.001)	Loss 3.0703 (3.1672)	Prec@1 28.125 (27.410)	Prec@5 58.594 (56.161)
Epoch: [1][12620/14090]	Time 0.763 (0.767)	Data 0.001 (0.001)	Loss 2.8460 (3.1671)	Prec@1 32.031 (27.412)	Prec@5 65.625 (56.162)
Epoch: [1][12630/14090]	Time 0.770 (0.767)	Data 0.001 (0.001)	Loss 3.1976 (3.1670)	Prec@1 32.031 (27.412)	Prec@5 53.125 (56.164)
Epoch: [1][12640/14090]	Time 0.804 (0.767)	Data 0.001 (0.001)	Loss 3.2603 (3.1669)	Prec@1 28.906 (27.415)	Prec@5 50.781 (56.166)
Epoch: [1][12650/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 3.3099 (3.1669)	Prec@1 25.781 (27.416)	Prec@5 51.562 (56.167)
Epoch: [1][12660/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 3.4706 (3.1668)	Prec@1 25.781 (27.419)	Prec@5 49.219 (56.168)
Epoch: [1][12670/14090]	Time 0.778 (0.767)	Data 0.001 (0.001)	Loss 3.0589 (3.1667)	Prec@1 30.469 (27.420)	Prec@5 58.594 (56.170)
Epoch: [1][12680/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 3.2385 (3.1667)	Prec@1 23.438 (27.421)	Prec@5 55.469 (56.172)
Epoch: [1][12690/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 3.0147 (3.1666)	Prec@1 33.594 (27.423)	Prec@5 59.375 (56.175)
Epoch: [1][12700/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 2.9141 (3.1665)	Prec@1 34.375 (27.425)	Prec@5 62.500 (56.176)
Epoch: [1][12710/14090]	Time 0.809 (0.767)	Data 0.001 (0.001)	Loss 2.9791 (3.1664)	Prec@1 28.906 (27.426)	Prec@5 57.031 (56.176)
Epoch: [1][12720/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 3.1176 (3.1663)	Prec@1 27.344 (27.427)	Prec@5 60.938 (56.179)
Epoch: [1][12730/14090]	Time 0.769 (0.767)	Data 0.001 (0.001)	Loss 3.1095 (3.1663)	Prec@1 25.781 (27.426)	Prec@5 52.344 (56.180)
Epoch: [1][12740/14090]	Time 0.764 (0.767)	Data 0.001 (0.001)	Loss 2.9437 (3.1663)	Prec@1 37.500 (27.426)	Prec@5 60.938 (56.180)
Epoch: [1][12750/14090]	Time 0.770 (0.767)	Data 0.001 (0.001)	Loss 2.9759 (3.1662)	Prec@1 31.250 (27.427)	Prec@5 64.062 (56.181)
Epoch: [1][12760/14090]	Time 0.772 (0.767)	Data 0.001 (0.001)	Loss 3.0804 (3.1661)	Prec@1 25.000 (27.429)	Prec@5 60.938 (56.182)
Epoch: [1][12770/14090]	Time 0.769 (0.767)	Data 0.002 (0.001)	Loss 3.0039 (3.1659)	Prec@1 30.469 (27.432)	Prec@5 61.719 (56.185)
Epoch: [1][12780/14090]	Time 0.851 (0.767)	Data 0.001 (0.001)	Loss 3.0543 (3.1659)	Prec@1 25.000 (27.433)	Prec@5 58.594 (56.187)
Epoch: [1][12790/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 3.2624 (3.1658)	Prec@1 25.000 (27.435)	Prec@5 50.781 (56.189)
Epoch: [1][12800/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 2.9703 (3.1657)	Prec@1 35.156 (27.437)	Prec@5 64.062 (56.191)
Epoch: [1][12810/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 2.7641 (3.1655)	Prec@1 32.812 (27.441)	Prec@5 60.156 (56.194)
Epoch: [1][12820/14090]	Time 0.781 (0.767)	Data 0.001 (0.001)	Loss 2.9439 (3.1654)	Prec@1 28.906 (27.442)	Prec@5 61.719 (56.196)
Epoch: [1][12830/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 3.4185 (3.1654)	Prec@1 26.562 (27.442)	Prec@5 48.438 (56.196)
Epoch: [1][12840/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 2.9539 (3.1653)	Prec@1 33.594 (27.445)	Prec@5 56.250 (56.199)
Epoch: [1][12850/14090]	Time 0.839 (0.767)	Data 0.001 (0.001)	Loss 3.0518 (3.1652)	Prec@1 32.031 (27.447)	Prec@5 58.594 (56.201)
Epoch: [1][12860/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 3.2765 (3.1650)	Prec@1 25.000 (27.451)	Prec@5 54.688 (56.205)
Epoch: [1][12870/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 3.0378 (3.1651)	Prec@1 23.438 (27.450)	Prec@5 60.938 (56.205)
Epoch: [1][12880/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 2.7272 (3.1650)	Prec@1 39.062 (27.453)	Prec@5 67.969 (56.207)
Epoch: [1][12890/14090]	Time 0.777 (0.767)	Data 0.001 (0.001)	Loss 3.1147 (3.1648)	Prec@1 28.125 (27.456)	Prec@5 57.031 (56.209)
Epoch: [1][12900/14090]	Time 0.769 (0.767)	Data 0.001 (0.001)	Loss 2.8478 (3.1647)	Prec@1 30.469 (27.458)	Prec@5 60.938 (56.212)
Epoch: [1][12910/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 3.0990 (3.1646)	Prec@1 27.344 (27.459)	Prec@5 57.812 (56.215)
Epoch: [1][12920/14090]	Time 1.010 (0.767)	Data 0.001 (0.001)	Loss 3.0779 (3.1646)	Prec@1 30.469 (27.460)	Prec@5 62.500 (56.216)
Epoch: [1][12930/14090]	Time 0.765 (0.767)	Data 0.001 (0.001)	Loss 2.8323 (3.1644)	Prec@1 34.375 (27.462)	Prec@5 64.062 (56.220)
Epoch: [1][12940/14090]	Time 0.773 (0.767)	Data 0.001 (0.001)	Loss 3.0840 (3.1644)	Prec@1 25.000 (27.463)	Prec@5 60.156 (56.222)
Epoch: [1][12950/14090]	Time 0.773 (0.767)	Data 0.001 (0.001)	Loss 3.3194 (3.1643)	Prec@1 24.219 (27.464)	Prec@5 55.469 (56.224)
Epoch: [1][12960/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 2.8781 (3.1643)	Prec@1 29.688 (27.464)	Prec@5 63.281 (56.225)
Epoch: [1][12970/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 3.1636 (3.1643)	Prec@1 24.219 (27.464)	Prec@5 61.719 (56.225)
Epoch: [1][12980/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 2.6750 (3.1641)	Prec@1 36.719 (27.466)	Prec@5 69.531 (56.228)
Epoch: [1][12990/14090]	Time 0.785 (0.767)	Data 0.001 (0.001)	Loss 3.1114 (3.1641)	Prec@1 28.125 (27.466)	Prec@5 57.031 (56.229)
Epoch: [1][13000/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 3.0766 (3.1640)	Prec@1 30.469 (27.468)	Prec@5 57.812 (56.230)
Epoch: [1][13010/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 3.0700 (3.1639)	Prec@1 30.469 (27.470)	Prec@5 54.688 (56.232)
Epoch: [1][13020/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 3.1773 (3.1638)	Prec@1 32.031 (27.472)	Prec@5 57.031 (56.233)
Epoch: [1][13030/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 2.8749 (3.1638)	Prec@1 34.375 (27.472)	Prec@5 60.156 (56.234)
Epoch: [1][13040/14090]	Time 0.773 (0.767)	Data 0.001 (0.001)	Loss 2.5877 (3.1638)	Prec@1 34.375 (27.473)	Prec@5 69.531 (56.235)
Epoch: [1][13050/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 3.0966 (3.1636)	Prec@1 28.906 (27.476)	Prec@5 55.469 (56.239)
Epoch: [1][13060/14090]	Time 0.822 (0.767)	Data 0.001 (0.001)	Loss 3.0424 (3.1635)	Prec@1 26.562 (27.478)	Prec@5 58.594 (56.241)
Epoch: [1][13070/14090]	Time 0.767 (0.767)	Data 0.001 (0.001)	Loss 2.6991 (3.1633)	Prec@1 38.281 (27.480)	Prec@5 63.281 (56.244)
Epoch: [1][13080/14090]	Time 0.774 (0.767)	Data 0.001 (0.001)	Loss 2.9005 (3.1632)	Prec@1 35.156 (27.483)	Prec@5 59.375 (56.246)
Epoch: [1][13090/14090]	Time 0.777 (0.767)	Data 0.001 (0.001)	Loss 2.9153 (3.1632)	Prec@1 32.031 (27.484)	Prec@5 60.938 (56.247)
Epoch: [1][13100/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 2.9411 (3.1631)	Prec@1 32.031 (27.485)	Prec@5 62.500 (56.249)
Epoch: [1][13110/14090]	Time 0.765 (0.767)	Data 0.001 (0.001)	Loss 3.1592 (3.1630)	Prec@1 29.688 (27.486)	Prec@5 55.469 (56.251)
Epoch: [1][13120/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 3.4661 (3.1630)	Prec@1 21.094 (27.485)	Prec@5 48.438 (56.251)
Epoch: [1][13130/14090]	Time 0.785 (0.767)	Data 0.001 (0.001)	Loss 2.8980 (3.1630)	Prec@1 28.125 (27.486)	Prec@5 60.938 (56.252)
Epoch: [1][13140/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 3.1389 (3.1629)	Prec@1 28.906 (27.487)	Prec@5 54.688 (56.253)
Epoch: [1][13150/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.9781 (3.1628)	Prec@1 27.344 (27.488)	Prec@5 57.812 (56.255)
Epoch: [1][13160/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 3.0257 (3.1627)	Prec@1 32.812 (27.491)	Prec@5 56.250 (56.256)
Epoch: [1][13170/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 2.6677 (3.1626)	Prec@1 35.938 (27.493)	Prec@5 65.625 (56.258)
Epoch: [1][13180/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 2.9815 (3.1625)	Prec@1 32.812 (27.496)	Prec@5 54.688 (56.260)
Epoch: [1][13190/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 2.7679 (3.1624)	Prec@1 33.594 (27.498)	Prec@5 64.062 (56.261)
Epoch: [1][13200/14090]	Time 0.829 (0.767)	Data 0.001 (0.001)	Loss 2.5025 (3.1623)	Prec@1 38.281 (27.501)	Prec@5 69.531 (56.264)
Epoch: [1][13210/14090]	Time 0.776 (0.767)	Data 0.001 (0.001)	Loss 3.0230 (3.1622)	Prec@1 28.906 (27.504)	Prec@5 64.062 (56.269)
Epoch: [1][13220/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.9425 (3.1621)	Prec@1 30.469 (27.504)	Prec@5 66.406 (56.269)
Epoch: [1][13230/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.9704 (3.1620)	Prec@1 28.906 (27.506)	Prec@5 59.375 (56.273)
Epoch: [1][13240/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 3.2194 (3.1620)	Prec@1 26.562 (27.505)	Prec@5 55.469 (56.273)
Epoch: [1][13250/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 3.2546 (3.1620)	Prec@1 26.562 (27.506)	Prec@5 58.594 (56.274)
Epoch: [1][13260/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 3.0182 (3.1620)	Prec@1 30.469 (27.506)	Prec@5 58.594 (56.274)
Epoch: [1][13270/14090]	Time 0.834 (0.767)	Data 0.001 (0.001)	Loss 3.1078 (3.1619)	Prec@1 25.000 (27.507)	Prec@5 59.375 (56.277)
Epoch: [1][13280/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 2.8426 (3.1618)	Prec@1 33.594 (27.508)	Prec@5 64.844 (56.279)
Epoch: [1][13290/14090]	Time 0.773 (0.767)	Data 0.001 (0.001)	Loss 3.1307 (3.1617)	Prec@1 27.344 (27.508)	Prec@5 58.594 (56.280)
Epoch: [1][13300/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 3.1242 (3.1617)	Prec@1 29.688 (27.510)	Prec@5 59.375 (56.282)
Epoch: [1][13310/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 2.7051 (3.1615)	Prec@1 32.812 (27.512)	Prec@5 65.625 (56.285)
Epoch: [1][13320/14090]	Time 0.784 (0.767)	Data 0.001 (0.001)	Loss 2.9048 (3.1615)	Prec@1 31.250 (27.513)	Prec@5 66.406 (56.287)
Epoch: [1][13330/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 3.0680 (3.1614)	Prec@1 32.812 (27.515)	Prec@5 55.469 (56.287)
Epoch: [1][13340/14090]	Time 0.777 (0.767)	Data 0.001 (0.001)	Loss 2.8567 (3.1613)	Prec@1 28.125 (27.516)	Prec@5 63.281 (56.289)
Epoch: [1][13350/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 3.2573 (3.1612)	Prec@1 31.250 (27.518)	Prec@5 56.250 (56.292)
Epoch: [1][13360/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 3.2139 (3.1611)	Prec@1 26.562 (27.520)	Prec@5 50.000 (56.293)
Epoch: [1][13370/14090]	Time 0.747 (0.767)	Data 0.002 (0.001)	Loss 2.9107 (3.1611)	Prec@1 42.188 (27.521)	Prec@5 60.156 (56.291)
Epoch: [1][13380/14090]	Time 0.771 (0.767)	Data 0.001 (0.001)	Loss 2.7496 (3.1610)	Prec@1 32.031 (27.521)	Prec@5 67.969 (56.293)
Epoch: [1][13390/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 3.0958 (3.1610)	Prec@1 27.344 (27.523)	Prec@5 52.344 (56.294)
Epoch: [1][13400/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 3.1108 (3.1608)	Prec@1 30.469 (27.526)	Prec@5 53.906 (56.296)
Epoch: [1][13410/14090]	Time 0.778 (0.767)	Data 0.001 (0.001)	Loss 2.9156 (3.1607)	Prec@1 28.906 (27.527)	Prec@5 60.938 (56.300)
Epoch: [1][13420/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 3.1694 (3.1606)	Prec@1 25.781 (27.528)	Prec@5 60.156 (56.303)
Epoch: [1][13430/14090]	Time 0.789 (0.767)	Data 0.001 (0.001)	Loss 2.9430 (3.1605)	Prec@1 34.375 (27.530)	Prec@5 59.375 (56.305)
Epoch: [1][13440/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 3.3382 (3.1604)	Prec@1 25.781 (27.532)	Prec@5 50.000 (56.306)
Epoch: [1][13450/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 2.9538 (3.1604)	Prec@1 27.344 (27.532)	Prec@5 58.594 (56.307)
Epoch: [1][13460/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 3.2149 (3.1602)	Prec@1 24.219 (27.534)	Prec@5 53.125 (56.309)
Epoch: [1][13470/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 2.9978 (3.1602)	Prec@1 32.031 (27.535)	Prec@5 60.938 (56.312)
Epoch: [1][13480/14090]	Time 0.814 (0.767)	Data 0.001 (0.001)	Loss 2.9605 (3.1600)	Prec@1 30.469 (27.538)	Prec@5 57.812 (56.314)
Epoch: [1][13490/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 2.9398 (3.1599)	Prec@1 33.594 (27.540)	Prec@5 62.500 (56.318)
Epoch: [1][13500/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 3.1673 (3.1598)	Prec@1 27.344 (27.543)	Prec@5 53.906 (56.319)
Epoch: [1][13510/14090]	Time 0.766 (0.767)	Data 0.001 (0.001)	Loss 2.9122 (3.1597)	Prec@1 32.812 (27.544)	Prec@5 60.938 (56.322)
Epoch: [1][13520/14090]	Time 0.769 (0.767)	Data 0.001 (0.001)	Loss 2.9153 (3.1596)	Prec@1 36.719 (27.546)	Prec@5 64.062 (56.324)
Epoch: [1][13530/14090]	Time 0.778 (0.767)	Data 0.001 (0.001)	Loss 3.2783 (3.1596)	Prec@1 25.000 (27.547)	Prec@5 53.125 (56.326)
Epoch: [1][13540/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 2.8007 (3.1595)	Prec@1 26.562 (27.547)	Prec@5 61.719 (56.328)
Epoch: [1][13550/14090]	Time 0.779 (0.767)	Data 0.001 (0.001)	Loss 3.1139 (3.1594)	Prec@1 28.125 (27.547)	Prec@5 59.375 (56.328)
Epoch: [1][13560/14090]	Time 0.721 (0.767)	Data 0.001 (0.001)	Loss 2.9599 (3.1593)	Prec@1 34.375 (27.549)	Prec@5 58.594 (56.329)
Epoch: [1][13570/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 2.5039 (3.1593)	Prec@1 35.156 (27.550)	Prec@5 73.438 (56.331)
Epoch: [1][13580/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 2.7056 (3.1592)	Prec@1 36.719 (27.551)	Prec@5 63.281 (56.332)
Epoch: [1][13590/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 2.8336 (3.1591)	Prec@1 31.250 (27.551)	Prec@5 59.375 (56.332)
Epoch: [1][13600/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 3.1910 (3.1591)	Prec@1 28.125 (27.552)	Prec@5 58.594 (56.334)
Epoch: [1][13610/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 3.3205 (3.1591)	Prec@1 27.344 (27.553)	Prec@5 53.125 (56.335)
Epoch: [1][13620/14090]	Time 0.797 (0.767)	Data 0.001 (0.001)	Loss 2.8411 (3.1590)	Prec@1 42.969 (27.555)	Prec@5 64.062 (56.338)
Epoch: [1][13630/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 3.0963 (3.1589)	Prec@1 30.469 (27.557)	Prec@5 62.500 (56.339)
Epoch: [1][13640/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 3.0625 (3.1588)	Prec@1 35.156 (27.559)	Prec@5 58.594 (56.342)
Epoch: [1][13650/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 2.7906 (3.1587)	Prec@1 30.469 (27.561)	Prec@5 66.406 (56.343)
Epoch: [1][13660/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 3.1506 (3.1587)	Prec@1 21.875 (27.562)	Prec@5 60.156 (56.345)
Epoch: [1][13670/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 3.0475 (3.1585)	Prec@1 34.375 (27.564)	Prec@5 60.156 (56.347)
Epoch: [1][13680/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 2.8486 (3.1584)	Prec@1 28.906 (27.567)	Prec@5 64.844 (56.350)
Epoch: [1][13690/14090]	Time 0.853 (0.767)	Data 0.001 (0.001)	Loss 3.0506 (3.1584)	Prec@1 29.688 (27.568)	Prec@5 60.938 (56.351)
Epoch: [1][13700/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 3.3357 (3.1583)	Prec@1 27.344 (27.568)	Prec@5 52.344 (56.352)
Epoch: [1][13710/14090]	Time 0.783 (0.767)	Data 0.001 (0.001)	Loss 2.8054 (3.1582)	Prec@1 27.344 (27.570)	Prec@5 65.625 (56.355)
Epoch: [1][13720/14090]	Time 0.764 (0.767)	Data 0.001 (0.001)	Loss 3.3045 (3.1581)	Prec@1 28.125 (27.571)	Prec@5 53.906 (56.357)
Epoch: [1][13730/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 3.2077 (3.1580)	Prec@1 25.000 (27.573)	Prec@5 57.812 (56.360)
Epoch: [1][13740/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 2.9659 (3.1580)	Prec@1 33.594 (27.574)	Prec@5 55.469 (56.360)
Epoch: [1][13750/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 3.1748 (3.1579)	Prec@1 29.688 (27.575)	Prec@5 49.219 (56.361)
Epoch: [1][13760/14090]	Time 0.936 (0.767)	Data 0.001 (0.001)	Loss 3.1591 (3.1578)	Prec@1 26.562 (27.576)	Prec@5 60.938 (56.362)
Epoch: [1][13770/14090]	Time 0.770 (0.767)	Data 0.001 (0.001)	Loss 2.8262 (3.1578)	Prec@1 33.594 (27.578)	Prec@5 60.938 (56.364)
Epoch: [1][13780/14090]	Time 0.769 (0.767)	Data 0.001 (0.001)	Loss 3.2773 (3.1576)	Prec@1 25.000 (27.579)	Prec@5 53.906 (56.366)
Epoch: [1][13790/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 3.4688 (3.1576)	Prec@1 22.656 (27.580)	Prec@5 45.312 (56.365)
Epoch: [1][13800/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 3.2254 (3.1575)	Prec@1 23.438 (27.582)	Prec@5 54.688 (56.366)
Epoch: [1][13810/14090]	Time 0.776 (0.767)	Data 0.001 (0.001)	Loss 3.0607 (3.1574)	Prec@1 28.125 (27.583)	Prec@5 60.156 (56.368)
Epoch: [1][13820/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 3.2335 (3.1573)	Prec@1 28.906 (27.585)	Prec@5 53.125 (56.369)
Epoch: [1][13830/14090]	Time 0.852 (0.767)	Data 0.001 (0.001)	Loss 3.3442 (3.1573)	Prec@1 23.438 (27.587)	Prec@5 47.656 (56.369)
Epoch: [1][13840/14090]	Time 0.734 (0.767)	Data 0.002 (0.001)	Loss 3.1425 (3.1573)	Prec@1 25.000 (27.587)	Prec@5 54.688 (56.370)
Epoch: [1][13850/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 3.1324 (3.1572)	Prec@1 25.781 (27.589)	Prec@5 60.938 (56.372)
Epoch: [1][13860/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 3.0471 (3.1570)	Prec@1 28.125 (27.591)	Prec@5 60.156 (56.375)
Epoch: [1][13870/14090]	Time 0.766 (0.767)	Data 0.001 (0.001)	Loss 3.0920 (3.1570)	Prec@1 27.344 (27.592)	Prec@5 60.156 (56.375)
Epoch: [1][13880/14090]	Time 0.726 (0.767)	Data 0.001 (0.001)	Loss 2.9720 (3.1569)	Prec@1 32.812 (27.594)	Prec@5 63.281 (56.378)
Epoch: [1][13890/14090]	Time 0.750 (0.767)	Data 0.002 (0.001)	Loss 3.1840 (3.1568)	Prec@1 27.344 (27.596)	Prec@5 60.938 (56.380)
Epoch: [1][13900/14090]	Time 0.811 (0.767)	Data 0.001 (0.001)	Loss 3.1531 (3.1567)	Prec@1 31.250 (27.598)	Prec@5 56.250 (56.381)
Epoch: [1][13910/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 2.9108 (3.1567)	Prec@1 33.594 (27.599)	Prec@5 60.156 (56.381)
Epoch: [1][13920/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 2.8128 (3.1566)	Prec@1 33.594 (27.600)	Prec@5 61.719 (56.383)
Epoch: [1][13930/14090]	Time 0.779 (0.767)	Data 0.001 (0.001)	Loss 3.0693 (3.1565)	Prec@1 25.781 (27.600)	Prec@5 59.375 (56.385)
Epoch: [1][13940/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 3.0770 (3.1564)	Prec@1 25.781 (27.601)	Prec@5 57.031 (56.386)
Epoch: [1][13950/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 2.9019 (3.1564)	Prec@1 35.156 (27.603)	Prec@5 63.281 (56.387)
Epoch: [1][13960/14090]	Time 0.798 (0.767)	Data 0.001 (0.001)	Loss 2.8557 (3.1563)	Prec@1 32.812 (27.603)	Prec@5 61.719 (56.390)
Epoch: [1][13970/14090]	Time 0.856 (0.767)	Data 0.001 (0.001)	Loss 2.9723 (3.1563)	Prec@1 32.812 (27.604)	Prec@5 60.156 (56.391)
Epoch: [1][13980/14090]	Time 0.765 (0.767)	Data 0.001 (0.001)	Loss 3.0596 (3.1562)	Prec@1 25.000 (27.607)	Prec@5 59.375 (56.393)
Epoch: [1][13990/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 2.7811 (3.1561)	Prec@1 35.156 (27.609)	Prec@5 64.062 (56.396)
Epoch: [1][14000/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 3.4649 (3.1560)	Prec@1 21.875 (27.609)	Prec@5 47.656 (56.396)
Epoch: [1][14010/14090]	Time 0.764 (0.767)	Data 0.001 (0.001)	Loss 3.3959 (3.1560)	Prec@1 25.781 (27.611)	Prec@5 49.219 (56.397)
Epoch: [1][14020/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 3.0410 (3.1559)	Prec@1 31.250 (27.614)	Prec@5 55.469 (56.398)
Epoch: [1][14030/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 3.0725 (3.1558)	Prec@1 28.906 (27.614)	Prec@5 57.031 (56.399)
Epoch: [1][14040/14090]	Time 0.837 (0.767)	Data 0.001 (0.001)	Loss 2.9566 (3.1557)	Prec@1 33.594 (27.615)	Prec@5 63.281 (56.400)
Epoch: [1][14050/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.9168 (3.1556)	Prec@1 25.781 (27.616)	Prec@5 64.062 (56.404)
Epoch: [1][14060/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 2.9478 (3.1555)	Prec@1 33.594 (27.618)	Prec@5 60.156 (56.405)
Epoch: [1][14070/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 3.1652 (3.1554)	Prec@1 29.688 (27.619)	Prec@5 54.688 (56.407)
Epoch: [1][14080/14090]	Time 0.755 (0.767)	Data 0.000 (0.001)	Loss 3.1195 (3.1553)	Prec@1 32.031 (27.621)	Prec@5 54.688 (56.408)
Test: [0/286]	Time 2.682 (2.682)	Loss 1.7480 (1.7480)	Prec@1 54.688 (54.688)	Prec@5 87.500 (87.500)
Test: [10/286]	Time 0.233 (0.470)	Loss 2.4677 (2.7616)	Prec@1 38.281 (33.807)	Prec@5 75.000 (65.057)
Test: [20/286]	Time 0.234 (0.364)	Loss 2.9642 (2.8330)	Prec@1 32.812 (33.891)	Prec@5 67.188 (64.658)
Test: [30/286]	Time 0.250 (0.328)	Loss 2.9825 (2.7754)	Prec@1 37.500 (37.046)	Prec@5 67.969 (65.978)
Test: [40/286]	Time 0.233 (0.309)	Loss 2.0070 (2.7565)	Prec@1 43.750 (36.109)	Prec@5 82.812 (65.777)
Test: [50/286]	Time 0.251 (0.302)	Loss 2.6675 (2.7476)	Prec@1 58.594 (36.336)	Prec@5 75.781 (66.850)
Test: [60/286]	Time 0.255 (0.295)	Loss 3.3497 (2.8044)	Prec@1 21.094 (35.054)	Prec@5 50.781 (65.433)
Test: [70/286]	Time 0.239 (0.289)	Loss 2.4378 (2.7912)	Prec@1 57.031 (35.530)	Prec@5 78.906 (65.658)
Test: [80/286]	Time 0.248 (0.285)	Loss 3.5967 (2.8508)	Prec@1 17.188 (34.008)	Prec@5 46.875 (64.304)
Test: [90/286]	Time 0.245 (0.281)	Loss 3.0538 (2.8182)	Prec@1 23.438 (34.384)	Prec@5 56.250 (64.818)
Test: [100/286]	Time 0.249 (0.279)	Loss 3.0921 (2.8421)	Prec@1 22.656 (34.004)	Prec@5 58.594 (64.867)
Test: [110/286]	Time 0.243 (0.277)	Loss 2.6925 (2.8490)	Prec@1 32.031 (33.882)	Prec@5 64.062 (64.780)
Test: [120/286]	Time 0.237 (0.275)	Loss 3.1399 (2.8608)	Prec@1 32.031 (34.401)	Prec@5 55.469 (65.231)
Test: [130/286]	Time 0.271 (0.273)	Loss 1.2205 (2.8317)	Prec@1 71.094 (34.965)	Prec@5 92.969 (65.834)
Test: [140/286]	Time 0.264 (0.272)	Loss 3.7658 (2.8250)	Prec@1 18.750 (34.918)	Prec@5 46.875 (65.908)
Test: [150/286]	Time 0.238 (0.272)	Loss 2.6119 (2.8161)	Prec@1 36.719 (34.634)	Prec@5 66.406 (66.075)
Test: [160/286]	Time 0.274 (0.271)	Loss 3.2681 (2.8154)	Prec@1 21.875 (34.496)	Prec@5 64.844 (66.130)
Test: [170/286]	Time 0.245 (0.271)	Loss 3.2835 (2.8136)	Prec@1 17.969 (34.348)	Prec@5 53.125 (66.114)
Test: [180/286]	Time 0.263 (0.270)	Loss 2.9720 (2.8291)	Prec@1 32.812 (33.887)	Prec@5 60.156 (65.798)
Test: [190/286]	Time 0.338 (0.269)	Loss 5.6306 (2.8556)	Prec@1 12.500 (33.663)	Prec@5 53.906 (65.535)
Test: [200/286]	Time 0.234 (0.269)	Loss 3.1893 (2.8479)	Prec@1 21.875 (33.675)	Prec@5 60.938 (65.664)
Test: [210/286]	Time 0.243 (0.268)	Loss 4.5032 (2.8617)	Prec@1 4.688 (33.320)	Prec@5 31.250 (65.244)
Test: [220/286]	Time 0.241 (0.267)	Loss 4.0508 (2.8725)	Prec@1 12.500 (33.155)	Prec@5 34.375 (64.897)
Test: [230/286]	Time 0.240 (0.267)	Loss 2.1178 (2.8642)	Prec@1 54.688 (33.242)	Prec@5 73.438 (64.938)
Test: [240/286]	Time 0.322 (0.267)	Loss 2.7125 (2.8616)	Prec@1 39.844 (33.390)	Prec@5 60.156 (65.012)
Test: [250/286]	Time 0.235 (0.266)	Loss 2.9725 (2.8651)	Prec@1 23.438 (33.423)	Prec@5 60.156 (65.220)
Test: [260/286]	Time 0.230 (0.266)	Loss 2.2803 (2.8567)	Prec@1 41.406 (33.417)	Prec@5 75.781 (65.326)
Test: [270/286]	Time 0.249 (0.265)	Loss 2.1051 (2.8491)	Prec@1 49.219 (33.455)	Prec@5 75.000 (65.432)
Test: [280/286]	Time 0.247 (0.265)	Loss 3.0275 (2.8338)	Prec@1 21.094 (33.805)	Prec@5 70.312 (65.625)
 * Prec@1 33.950 Prec@5 65.740
Epoch: [2][0/14090]	Time 4.151 (4.151)	Data 3.389 (3.389)	Loss 2.9864 (2.9864)	Prec@1 26.562 (26.562)	Prec@5 60.938 (60.938)
Epoch: [2][10/14090]	Time 0.727 (1.048)	Data 0.001 (0.309)	Loss 2.6556 (2.9640)	Prec@1 35.156 (30.043)	Prec@5 67.969 (60.582)
Epoch: [2][20/14090]	Time 0.757 (0.900)	Data 0.001 (0.162)	Loss 3.0779 (2.9992)	Prec@1 28.906 (29.464)	Prec@5 57.031 (59.821)
Epoch: [2][30/14090]	Time 0.737 (0.848)	Data 0.001 (0.110)	Loss 3.0436 (3.0026)	Prec@1 31.250 (29.511)	Prec@5 60.938 (60.131)
Epoch: [2][40/14090]	Time 0.736 (0.823)	Data 0.001 (0.083)	Loss 2.9929 (3.0142)	Prec@1 28.906 (29.649)	Prec@5 56.250 (59.566)
Epoch: [2][50/14090]	Time 0.786 (0.809)	Data 0.001 (0.067)	Loss 3.0912 (3.0309)	Prec@1 21.875 (29.596)	Prec@5 58.594 (59.115)
Epoch: [2][60/14090]	Time 0.741 (0.801)	Data 0.001 (0.056)	Loss 3.0673 (3.0293)	Prec@1 32.031 (29.585)	Prec@5 54.688 (58.965)
Epoch: [2][70/14090]	Time 0.787 (0.797)	Data 0.001 (0.049)	Loss 3.1289 (3.0552)	Prec@1 25.000 (29.137)	Prec@5 57.812 (58.484)
Epoch: [2][80/14090]	Time 0.738 (0.792)	Data 0.001 (0.043)	Loss 2.9379 (3.0569)	Prec@1 32.031 (29.099)	Prec@5 62.500 (58.324)
Epoch: [2][90/14090]	Time 0.752 (0.790)	Data 0.001 (0.038)	Loss 3.0549 (3.0540)	Prec@1 27.344 (29.207)	Prec@5 64.062 (58.534)
Epoch: [2][100/14090]	Time 0.737 (0.786)	Data 0.001 (0.034)	Loss 3.2963 (3.0607)	Prec@1 26.562 (29.131)	Prec@5 53.906 (58.416)
Epoch: [2][110/14090]	Time 0.752 (0.783)	Data 0.001 (0.031)	Loss 3.1013 (3.0565)	Prec@1 30.469 (29.251)	Prec@5 56.250 (58.509)
Epoch: [2][120/14090]	Time 0.769 (0.781)	Data 0.001 (0.029)	Loss 3.0376 (3.0596)	Prec@1 29.688 (29.229)	Prec@5 57.031 (58.381)
Epoch: [2][130/14090]	Time 0.738 (0.780)	Data 0.001 (0.027)	Loss 2.9808 (3.0622)	Prec@1 30.469 (29.169)	Prec@5 60.938 (58.290)
Epoch: [2][140/14090]	Time 0.750 (0.779)	Data 0.001 (0.025)	Loss 2.9697 (3.0574)	Prec@1 32.031 (29.289)	Prec@5 60.156 (58.472)
Epoch: [2][150/14090]	Time 0.845 (0.778)	Data 0.001 (0.023)	Loss 2.9936 (3.0560)	Prec@1 28.906 (29.268)	Prec@5 57.812 (58.547)
Epoch: [2][160/14090]	Time 0.764 (0.776)	Data 0.001 (0.022)	Loss 3.1142 (3.0532)	Prec@1 27.344 (29.294)	Prec@5 54.688 (58.633)
Epoch: [2][170/14090]	Time 0.744 (0.774)	Data 0.001 (0.021)	Loss 3.2819 (3.0533)	Prec@1 28.906 (29.395)	Prec@5 54.688 (58.685)
Epoch: [2][180/14090]	Time 0.760 (0.774)	Data 0.001 (0.020)	Loss 2.9271 (3.0521)	Prec@1 28.125 (29.290)	Prec@5 62.500 (58.594)
Epoch: [2][190/14090]	Time 0.758 (0.773)	Data 0.001 (0.019)	Loss 3.0215 (3.0478)	Prec@1 32.031 (29.373)	Prec@5 57.031 (58.696)
Epoch: [2][200/14090]	Time 0.767 (0.772)	Data 0.001 (0.018)	Loss 3.0760 (3.0455)	Prec@1 25.781 (29.342)	Prec@5 60.156 (58.741)
Epoch: [2][210/14090]	Time 0.777 (0.772)	Data 0.001 (0.017)	Loss 3.0891 (3.0430)	Prec@1 32.031 (29.373)	Prec@5 59.375 (58.790)
Epoch: [2][220/14090]	Time 0.755 (0.771)	Data 0.001 (0.016)	Loss 2.8421 (3.0392)	Prec@1 33.594 (29.451)	Prec@5 65.625 (58.923)
Epoch: [2][230/14090]	Time 0.759 (0.770)	Data 0.001 (0.016)	Loss 3.0276 (3.0373)	Prec@1 36.719 (29.498)	Prec@5 62.500 (59.006)
Epoch: [2][240/14090]	Time 0.750 (0.770)	Data 0.001 (0.015)	Loss 2.9543 (3.0348)	Prec@1 34.375 (29.597)	Prec@5 65.625 (59.070)
Epoch: [2][250/14090]	Time 0.735 (0.769)	Data 0.001 (0.014)	Loss 3.0202 (3.0344)	Prec@1 32.812 (29.607)	Prec@5 61.719 (59.058)
Epoch: [2][260/14090]	Time 0.749 (0.769)	Data 0.001 (0.014)	Loss 3.2074 (3.0327)	Prec@1 27.344 (29.625)	Prec@5 58.594 (59.085)
Epoch: [2][270/14090]	Time 0.742 (0.768)	Data 0.001 (0.013)	Loss 2.9029 (3.0333)	Prec@1 28.125 (29.676)	Prec@5 64.844 (59.064)
Epoch: [2][280/14090]	Time 0.766 (0.768)	Data 0.001 (0.013)	Loss 3.2518 (3.0321)	Prec@1 28.125 (29.726)	Prec@5 54.688 (59.114)
Epoch: [2][290/14090]	Time 0.778 (0.767)	Data 0.001 (0.013)	Loss 3.0227 (3.0326)	Prec@1 27.344 (29.739)	Prec@5 57.031 (59.069)
Epoch: [2][300/14090]	Time 0.759 (0.767)	Data 0.001 (0.012)	Loss 3.0347 (3.0326)	Prec@1 31.250 (29.711)	Prec@5 57.031 (59.032)
Epoch: [2][310/14090]	Time 0.733 (0.766)	Data 0.001 (0.012)	Loss 2.9188 (3.0334)	Prec@1 32.031 (29.672)	Prec@5 62.500 (59.003)
Epoch: [2][320/14090]	Time 0.758 (0.766)	Data 0.001 (0.011)	Loss 3.0696 (3.0291)	Prec@1 25.781 (29.746)	Prec@5 61.719 (59.059)
Epoch: [2][330/14090]	Time 0.733 (0.765)	Data 0.001 (0.011)	Loss 3.6673 (3.0290)	Prec@1 22.656 (29.784)	Prec@5 49.219 (59.092)
Epoch: [2][340/14090]	Time 0.757 (0.765)	Data 0.001 (0.011)	Loss 2.8422 (3.0301)	Prec@1 32.812 (29.800)	Prec@5 60.938 (59.013)
Epoch: [2][350/14090]	Time 0.743 (0.765)	Data 0.001 (0.011)	Loss 3.0715 (3.0301)	Prec@1 28.906 (29.801)	Prec@5 55.469 (59.026)
Epoch: [2][360/14090]	Time 0.752 (0.765)	Data 0.001 (0.010)	Loss 2.9146 (3.0310)	Prec@1 30.469 (29.791)	Prec@5 60.938 (58.990)
Epoch: [2][370/14090]	Time 0.747 (0.764)	Data 0.001 (0.010)	Loss 3.0075 (3.0314)	Prec@1 32.812 (29.782)	Prec@5 60.156 (58.956)
Epoch: [2][380/14090]	Time 0.758 (0.764)	Data 0.001 (0.010)	Loss 3.2330 (3.0334)	Prec@1 22.656 (29.751)	Prec@5 53.906 (58.905)
Epoch: [2][390/14090]	Time 0.781 (0.764)	Data 0.001 (0.010)	Loss 3.2711 (3.0351)	Prec@1 23.438 (29.709)	Prec@5 51.562 (58.879)
Epoch: [2][400/14090]	Time 0.765 (0.764)	Data 0.002 (0.009)	Loss 2.9085 (3.0349)	Prec@1 32.812 (29.719)	Prec@5 62.500 (58.870)
Epoch: [2][410/14090]	Time 0.755 (0.764)	Data 0.001 (0.009)	Loss 3.0720 (3.0333)	Prec@1 30.469 (29.765)	Prec@5 56.250 (58.932)
Epoch: [2][420/14090]	Time 0.756 (0.763)	Data 0.001 (0.009)	Loss 3.1452 (3.0335)	Prec@1 25.781 (29.762)	Prec@5 55.469 (58.931)
Epoch: [2][430/14090]	Time 0.761 (0.764)	Data 0.001 (0.009)	Loss 3.2114 (3.0329)	Prec@1 29.688 (29.775)	Prec@5 60.156 (58.967)
Epoch: [2][440/14090]	Time 0.785 (0.763)	Data 0.001 (0.009)	Loss 3.2015 (3.0347)	Prec@1 30.469 (29.787)	Prec@5 53.906 (58.945)
Epoch: [2][450/14090]	Time 0.723 (0.763)	Data 0.001 (0.008)	Loss 2.9855 (3.0352)	Prec@1 30.469 (29.760)	Prec@5 57.031 (58.906)
Epoch: [2][460/14090]	Time 0.762 (0.763)	Data 0.001 (0.008)	Loss 3.0231 (3.0332)	Prec@1 29.688 (29.810)	Prec@5 60.938 (58.955)
Epoch: [2][470/14090]	Time 0.774 (0.763)	Data 0.001 (0.008)	Loss 3.0970 (3.0323)	Prec@1 25.781 (29.795)	Prec@5 53.906 (58.957)
Epoch: [2][480/14090]	Time 0.756 (0.763)	Data 0.001 (0.008)	Loss 2.7862 (3.0318)	Prec@1 34.375 (29.778)	Prec@5 62.500 (58.979)
Epoch: [2][490/14090]	Time 0.762 (0.763)	Data 0.001 (0.008)	Loss 3.2047 (3.0333)	Prec@1 23.438 (29.737)	Prec@5 52.344 (58.923)
Epoch: [2][500/14090]	Time 0.727 (0.763)	Data 0.001 (0.008)	Loss 3.1457 (3.0331)	Prec@1 26.562 (29.736)	Prec@5 65.625 (58.941)
Epoch: [2][510/14090]	Time 0.746 (0.763)	Data 0.001 (0.007)	Loss 3.2359 (3.0332)	Prec@1 28.125 (29.744)	Prec@5 52.344 (58.952)
Epoch: [2][520/14090]	Time 0.735 (0.763)	Data 0.001 (0.007)	Loss 2.7389 (3.0324)	Prec@1 29.688 (29.719)	Prec@5 64.844 (58.993)
Epoch: [2][530/14090]	Time 0.750 (0.762)	Data 0.001 (0.007)	Loss 3.3092 (3.0343)	Prec@1 25.000 (29.714)	Prec@5 47.656 (58.937)
Epoch: [2][540/14090]	Time 0.745 (0.762)	Data 0.001 (0.007)	Loss 3.1986 (3.0352)	Prec@1 28.906 (29.702)	Prec@5 54.688 (58.898)
Epoch: [2][550/14090]	Time 0.788 (0.762)	Data 0.001 (0.007)	Loss 2.8923 (3.0354)	Prec@1 32.031 (29.710)	Prec@5 62.500 (58.909)
Epoch: [2][560/14090]	Time 0.759 (0.762)	Data 0.001 (0.007)	Loss 2.9916 (3.0355)	Prec@1 32.031 (29.700)	Prec@5 59.375 (58.904)
Epoch: [2][570/14090]	Time 0.773 (0.762)	Data 0.001 (0.007)	Loss 2.6758 (3.0338)	Prec@1 33.594 (29.708)	Prec@5 67.969 (58.926)
Epoch: [2][580/14090]	Time 0.745 (0.762)	Data 0.001 (0.007)	Loss 3.1070 (3.0335)	Prec@1 28.125 (29.705)	Prec@5 57.812 (58.954)
Epoch: [2][590/14090]	Time 0.728 (0.762)	Data 0.001 (0.007)	Loss 3.0783 (3.0333)	Prec@1 22.656 (29.705)	Prec@5 60.156 (58.969)
Epoch: [2][600/14090]	Time 0.757 (0.762)	Data 0.001 (0.006)	Loss 3.0241 (3.0335)	Prec@1 32.031 (29.725)	Prec@5 59.375 (58.968)
Epoch: [2][610/14090]	Time 0.736 (0.761)	Data 0.001 (0.006)	Loss 2.8620 (3.0341)	Prec@1 32.812 (29.712)	Prec@5 57.812 (58.954)
Epoch: [2][620/14090]	Time 0.755 (0.761)	Data 0.001 (0.006)	Loss 2.8197 (3.0334)	Prec@1 34.375 (29.728)	Prec@5 66.406 (58.967)
Epoch: [2][630/14090]	Time 0.764 (0.761)	Data 0.001 (0.006)	Loss 2.7814 (3.0318)	Prec@1 33.594 (29.747)	Prec@5 60.938 (59.006)
Epoch: [2][640/14090]	Time 0.897 (0.761)	Data 0.002 (0.006)	Loss 3.2771 (3.0328)	Prec@1 24.219 (29.723)	Prec@5 52.344 (58.991)
Epoch: [2][650/14090]	Time 0.774 (0.761)	Data 0.001 (0.006)	Loss 2.9623 (3.0330)	Prec@1 29.688 (29.718)	Prec@5 62.500 (58.998)
Epoch: [2][660/14090]	Time 0.749 (0.761)	Data 0.001 (0.006)	Loss 2.9166 (3.0330)	Prec@1 25.000 (29.698)	Prec@5 63.281 (59.010)
Epoch: [2][670/14090]	Time 0.729 (0.761)	Data 0.001 (0.006)	Loss 2.8903 (3.0339)	Prec@1 29.688 (29.678)	Prec@5 64.062 (58.973)
Epoch: [2][680/14090]	Time 0.756 (0.761)	Data 0.001 (0.006)	Loss 3.2712 (3.0363)	Prec@1 32.031 (29.644)	Prec@5 55.469 (58.902)
Epoch: [2][690/14090]	Time 0.756 (0.761)	Data 0.001 (0.006)	Loss 2.9592 (3.0363)	Prec@1 31.250 (29.630)	Prec@5 57.812 (58.914)
Epoch: [2][700/14090]	Time 0.761 (0.761)	Data 0.001 (0.006)	Loss 2.6443 (3.0354)	Prec@1 35.156 (29.644)	Prec@5 63.281 (58.918)
Epoch: [2][710/14090]	Time 0.797 (0.761)	Data 0.001 (0.006)	Loss 2.7364 (3.0349)	Prec@1 31.250 (29.656)	Prec@5 66.406 (58.926)
Epoch: [2][720/14090]	Time 0.740 (0.761)	Data 0.001 (0.006)	Loss 2.7998 (3.0348)	Prec@1 25.781 (29.642)	Prec@5 60.938 (58.921)
Epoch: [2][730/14090]	Time 0.753 (0.761)	Data 0.001 (0.005)	Loss 3.2161 (3.0368)	Prec@1 24.219 (29.608)	Prec@5 59.375 (58.894)
Epoch: [2][740/14090]	Time 0.736 (0.761)	Data 0.001 (0.005)	Loss 2.8095 (3.0352)	Prec@1 27.344 (29.617)	Prec@5 60.938 (58.909)
Epoch: [2][750/14090]	Time 0.766 (0.760)	Data 0.001 (0.005)	Loss 3.1472 (3.0359)	Prec@1 29.688 (29.603)	Prec@5 57.812 (58.886)
Epoch: [2][760/14090]	Time 0.747 (0.760)	Data 0.001 (0.005)	Loss 3.0682 (3.0369)	Prec@1 31.250 (29.589)	Prec@5 62.500 (58.885)
Epoch: [2][770/14090]	Time 0.778 (0.760)	Data 0.001 (0.005)	Loss 3.1694 (3.0364)	Prec@1 27.344 (29.589)	Prec@5 56.250 (58.893)
Epoch: [2][780/14090]	Time 0.775 (0.760)	Data 0.001 (0.005)	Loss 3.3043 (3.0375)	Prec@1 21.094 (29.571)	Prec@5 56.250 (58.887)
Epoch: [2][790/14090]	Time 0.738 (0.760)	Data 0.001 (0.005)	Loss 3.2347 (3.0381)	Prec@1 25.781 (29.571)	Prec@5 51.562 (58.844)
Epoch: [2][800/14090]	Time 0.762 (0.760)	Data 0.001 (0.005)	Loss 2.9793 (3.0379)	Prec@1 30.469 (29.576)	Prec@5 59.375 (58.854)
Epoch: [2][810/14090]	Time 0.747 (0.760)	Data 0.001 (0.005)	Loss 3.1661 (3.0388)	Prec@1 31.250 (29.544)	Prec@5 54.688 (58.848)
Epoch: [2][820/14090]	Time 0.754 (0.760)	Data 0.001 (0.005)	Loss 3.1747 (3.0386)	Prec@1 26.562 (29.534)	Prec@5 55.469 (58.853)
Epoch: [2][830/14090]	Time 0.769 (0.760)	Data 0.001 (0.005)	Loss 3.5495 (3.0390)	Prec@1 19.531 (29.518)	Prec@5 46.875 (58.849)
Epoch: [2][840/14090]	Time 0.738 (0.760)	Data 0.001 (0.005)	Loss 3.1618 (3.0391)	Prec@1 24.219 (29.523)	Prec@5 61.719 (58.854)
Epoch: [2][850/14090]	Time 0.752 (0.760)	Data 0.001 (0.005)	Loss 3.0687 (3.0391)	Prec@1 22.656 (29.521)	Prec@5 57.031 (58.865)
Epoch: [2][860/14090]	Time 0.760 (0.760)	Data 0.001 (0.005)	Loss 2.9684 (3.0393)	Prec@1 32.031 (29.534)	Prec@5 57.812 (58.867)
Epoch: [2][870/14090]	Time 0.736 (0.760)	Data 0.001 (0.005)	Loss 3.0270 (3.0388)	Prec@1 28.125 (29.538)	Prec@5 57.031 (58.874)
Epoch: [2][880/14090]	Time 0.744 (0.760)	Data 0.001 (0.005)	Loss 2.8877 (3.0377)	Prec@1 26.562 (29.566)	Prec@5 60.938 (58.892)
Epoch: [2][890/14090]	Time 0.772 (0.760)	Data 0.001 (0.005)	Loss 2.6964 (3.0379)	Prec@1 35.156 (29.571)	Prec@5 65.625 (58.888)
Epoch: [2][900/14090]	Time 0.745 (0.759)	Data 0.001 (0.005)	Loss 2.8312 (3.0373)	Prec@1 24.219 (29.587)	Prec@5 63.281 (58.902)
Epoch: [2][910/14090]	Time 0.768 (0.760)	Data 0.001 (0.005)	Loss 3.0414 (3.0364)	Prec@1 28.125 (29.592)	Prec@5 56.250 (58.936)
Epoch: [2][920/14090]	Time 0.755 (0.759)	Data 0.001 (0.005)	Loss 2.9915 (3.0370)	Prec@1 29.688 (29.568)	Prec@5 57.812 (58.919)
Epoch: [2][930/14090]	Time 0.752 (0.759)	Data 0.001 (0.005)	Loss 2.7446 (3.0356)	Prec@1 33.594 (29.589)	Prec@5 64.062 (58.936)
Epoch: [2][940/14090]	Time 0.752 (0.759)	Data 0.001 (0.004)	Loss 2.7307 (3.0337)	Prec@1 37.500 (29.624)	Prec@5 67.969 (58.980)
Epoch: [2][950/14090]	Time 0.764 (0.759)	Data 0.001 (0.004)	Loss 3.1425 (3.0339)	Prec@1 27.344 (29.625)	Prec@5 57.031 (58.981)
Epoch: [2][960/14090]	Time 0.762 (0.759)	Data 0.001 (0.004)	Loss 3.0579 (3.0341)	Prec@1 28.125 (29.627)	Prec@5 60.156 (58.982)
Epoch: [2][970/14090]	Time 0.757 (0.759)	Data 0.001 (0.004)	Loss 2.9442 (3.0332)	Prec@1 32.812 (29.646)	Prec@5 59.375 (59.002)
Epoch: [2][980/14090]	Time 0.764 (0.759)	Data 0.001 (0.004)	Loss 3.0257 (3.0334)	Prec@1 29.688 (29.643)	Prec@5 59.375 (59.004)
Epoch: [2][990/14090]	Time 0.796 (0.759)	Data 0.001 (0.004)	Loss 3.0907 (3.0336)	Prec@1 23.438 (29.637)	Prec@5 62.500 (59.006)
Epoch: [2][1000/14090]	Time 0.746 (0.759)	Data 0.001 (0.004)	Loss 3.0803 (3.0330)	Prec@1 32.812 (29.663)	Prec@5 57.812 (59.029)
Epoch: [2][1010/14090]	Time 0.751 (0.759)	Data 0.001 (0.004)	Loss 3.0323 (3.0333)	Prec@1 32.031 (29.686)	Prec@5 60.156 (59.026)
Epoch: [2][1020/14090]	Time 0.781 (0.759)	Data 0.001 (0.004)	Loss 3.2355 (3.0337)	Prec@1 22.656 (29.675)	Prec@5 54.688 (59.010)
Epoch: [2][1030/14090]	Time 0.760 (0.759)	Data 0.001 (0.004)	Loss 3.1178 (3.0345)	Prec@1 30.469 (29.665)	Prec@5 54.688 (58.988)
Epoch: [2][1040/14090]	Time 0.759 (0.759)	Data 0.001 (0.004)	Loss 2.9317 (3.0348)	Prec@1 30.469 (29.657)	Prec@5 60.156 (58.985)
Epoch: [2][1050/14090]	Time 0.733 (0.759)	Data 0.001 (0.004)	Loss 2.8958 (3.0345)	Prec@1 33.594 (29.662)	Prec@5 61.719 (58.990)
Epoch: [2][1060/14090]	Time 0.748 (0.759)	Data 0.001 (0.004)	Loss 3.0838 (3.0342)	Prec@1 28.125 (29.667)	Prec@5 58.594 (58.997)
Epoch: [2][1070/14090]	Time 0.752 (0.759)	Data 0.001 (0.004)	Loss 2.9639 (3.0342)	Prec@1 31.250 (29.669)	Prec@5 56.250 (58.990)
Epoch: [2][1080/14090]	Time 0.734 (0.759)	Data 0.001 (0.004)	Loss 2.8533 (3.0339)	Prec@1 34.375 (29.659)	Prec@5 63.281 (58.999)
Epoch: [2][1090/14090]	Time 0.737 (0.759)	Data 0.001 (0.004)	Loss 3.5826 (3.0348)	Prec@1 26.562 (29.637)	Prec@5 52.344 (58.984)
Epoch: [2][1100/14090]	Time 0.776 (0.759)	Data 0.001 (0.004)	Loss 3.2732 (3.0354)	Prec@1 26.562 (29.628)	Prec@5 47.656 (58.964)
Epoch: [2][1110/14090]	Time 0.739 (0.759)	Data 0.001 (0.004)	Loss 3.0861 (3.0351)	Prec@1 28.906 (29.633)	Prec@5 62.500 (58.964)
Epoch: [2][1120/14090]	Time 0.768 (0.759)	Data 0.001 (0.004)	Loss 2.9168 (3.0348)	Prec@1 27.344 (29.627)	Prec@5 59.375 (58.968)
Epoch: [2][1130/14090]	Time 0.839 (0.759)	Data 0.001 (0.004)	Loss 2.9368 (3.0344)	Prec@1 31.250 (29.629)	Prec@5 60.156 (58.978)
Epoch: [2][1140/14090]	Time 0.752 (0.759)	Data 0.001 (0.004)	Loss 2.9297 (3.0335)	Prec@1 32.812 (29.654)	Prec@5 62.500 (58.987)
Epoch: [2][1150/14090]	Time 0.759 (0.759)	Data 0.001 (0.004)	Loss 2.8503 (3.0332)	Prec@1 34.375 (29.657)	Prec@5 65.625 (58.985)
Epoch: [2][1160/14090]	Time 0.758 (0.759)	Data 0.001 (0.004)	Loss 3.1644 (3.0339)	Prec@1 25.781 (29.647)	Prec@5 56.250 (58.980)
Epoch: [2][1170/14090]	Time 0.750 (0.759)	Data 0.001 (0.004)	Loss 2.9388 (3.0337)	Prec@1 32.812 (29.647)	Prec@5 57.812 (58.984)
Epoch: [2][1180/14090]	Time 0.754 (0.759)	Data 0.001 (0.004)	Loss 3.0376 (3.0331)	Prec@1 25.781 (29.645)	Prec@5 62.500 (58.989)
Epoch: [2][1190/14090]	Time 0.775 (0.759)	Data 0.001 (0.004)	Loss 3.2216 (3.0336)	Prec@1 24.219 (29.638)	Prec@5 61.719 (58.981)
Epoch: [2][1200/14090]	Time 0.740 (0.759)	Data 0.001 (0.004)	Loss 3.1156 (3.0336)	Prec@1 32.031 (29.637)	Prec@5 53.125 (58.980)
Epoch: [2][1210/14090]	Time 0.733 (0.759)	Data 0.001 (0.004)	Loss 3.1353 (3.0338)	Prec@1 30.469 (29.629)	Prec@5 56.250 (58.963)
Epoch: [2][1220/14090]	Time 0.747 (0.759)	Data 0.001 (0.004)	Loss 3.0717 (3.0344)	Prec@1 28.125 (29.632)	Prec@5 58.594 (58.954)
Epoch: [2][1230/14090]	Time 0.750 (0.759)	Data 0.001 (0.004)	Loss 2.9577 (3.0337)	Prec@1 29.688 (29.647)	Prec@5 57.031 (58.957)
Epoch: [2][1240/14090]	Time 0.763 (0.759)	Data 0.001 (0.004)	Loss 3.0478 (3.0333)	Prec@1 28.125 (29.641)	Prec@5 63.281 (58.966)
Epoch: [2][1250/14090]	Time 0.742 (0.759)	Data 0.001 (0.004)	Loss 3.0071 (3.0332)	Prec@1 29.688 (29.643)	Prec@5 57.812 (58.966)
Epoch: [2][1260/14090]	Time 0.764 (0.759)	Data 0.001 (0.004)	Loss 3.0842 (3.0333)	Prec@1 29.688 (29.624)	Prec@5 59.375 (58.972)
Epoch: [2][1270/14090]	Time 0.743 (0.759)	Data 0.001 (0.004)	Loss 3.0996 (3.0334)	Prec@1 25.000 (29.611)	Prec@5 56.250 (58.968)
Epoch: [2][1280/14090]	Time 0.769 (0.759)	Data 0.001 (0.004)	Loss 3.1525 (3.0338)	Prec@1 25.781 (29.604)	Prec@5 60.156 (58.973)
Epoch: [2][1290/14090]	Time 0.744 (0.759)	Data 0.002 (0.004)	Loss 2.8366 (3.0334)	Prec@1 30.469 (29.606)	Prec@5 61.719 (58.980)
Epoch: [2][1300/14090]	Time 0.735 (0.759)	Data 0.001 (0.003)	Loss 2.8843 (3.0332)	Prec@1 36.719 (29.608)	Prec@5 62.500 (58.983)
Epoch: [2][1310/14090]	Time 0.734 (0.759)	Data 0.001 (0.003)	Loss 2.7719 (3.0330)	Prec@1 32.812 (29.610)	Prec@5 63.281 (58.989)
Epoch: [2][1320/14090]	Time 0.760 (0.759)	Data 0.004 (0.003)	Loss 3.1644 (3.0325)	Prec@1 29.688 (29.617)	Prec@5 57.812 (59.015)
Epoch: [2][1330/14090]	Time 0.759 (0.759)	Data 0.001 (0.003)	Loss 3.0633 (3.0329)	Prec@1 24.219 (29.609)	Prec@5 57.812 (59.003)
Epoch: [2][1340/14090]	Time 0.771 (0.759)	Data 0.001 (0.003)	Loss 2.9045 (3.0331)	Prec@1 29.688 (29.604)	Prec@5 64.062 (58.994)
Epoch: [2][1350/14090]	Time 0.742 (0.759)	Data 0.001 (0.003)	Loss 3.0757 (3.0326)	Prec@1 25.781 (29.595)	Prec@5 58.594 (58.997)
Epoch: [2][1360/14090]	Time 0.743 (0.759)	Data 0.001 (0.003)	Loss 2.6156 (3.0323)	Prec@1 37.500 (29.600)	Prec@5 70.312 (59.015)
Epoch: [2][1370/14090]	Time 0.790 (0.759)	Data 0.001 (0.003)	Loss 2.9606 (3.0320)	Prec@1 35.156 (29.619)	Prec@5 60.938 (59.018)
Epoch: [2][1380/14090]	Time 0.757 (0.759)	Data 0.001 (0.003)	Loss 3.0437 (3.0324)	Prec@1 26.562 (29.614)	Prec@5 59.375 (59.006)
Epoch: [2][1390/14090]	Time 0.769 (0.759)	Data 0.001 (0.003)	Loss 2.7946 (3.0323)	Prec@1 39.062 (29.629)	Prec@5 64.062 (59.015)
Epoch: [2][1400/14090]	Time 0.746 (0.759)	Data 0.001 (0.003)	Loss 3.1350 (3.0327)	Prec@1 26.562 (29.616)	Prec@5 63.281 (59.013)
Epoch: [2][1410/14090]	Time 0.770 (0.759)	Data 0.001 (0.003)	Loss 3.0600 (3.0325)	Prec@1 25.000 (29.621)	Prec@5 56.250 (59.021)
Epoch: [2][1420/14090]	Time 0.756 (0.759)	Data 0.001 (0.003)	Loss 2.9505 (3.0323)	Prec@1 26.562 (29.622)	Prec@5 64.062 (59.023)
Epoch: [2][1430/14090]	Time 0.735 (0.759)	Data 0.001 (0.003)	Loss 2.9691 (3.0323)	Prec@1 29.688 (29.620)	Prec@5 56.250 (59.016)
Epoch: [2][1440/14090]	Time 0.781 (0.759)	Data 0.001 (0.003)	Loss 3.0302 (3.0323)	Prec@1 31.250 (29.625)	Prec@5 64.844 (59.023)
Epoch: [2][1450/14090]	Time 0.761 (0.759)	Data 0.001 (0.003)	Loss 3.2111 (3.0322)	Prec@1 21.094 (29.608)	Prec@5 51.562 (59.020)
Epoch: [2][1460/14090]	Time 0.738 (0.759)	Data 0.001 (0.003)	Loss 2.8250 (3.0323)	Prec@1 32.812 (29.603)	Prec@5 60.156 (59.017)
Epoch: [2][1470/14090]	Time 0.755 (0.759)	Data 0.001 (0.003)	Loss 2.8878 (3.0325)	Prec@1 29.688 (29.596)	Prec@5 57.812 (59.006)
Epoch: [2][1480/14090]	Time 0.831 (0.759)	Data 0.001 (0.003)	Loss 2.7377 (3.0323)	Prec@1 32.812 (29.601)	Prec@5 67.969 (59.003)
Epoch: [2][1490/14090]	Time 0.755 (0.759)	Data 0.001 (0.003)	Loss 2.9236 (3.0326)	Prec@1 35.156 (29.611)	Prec@5 60.938 (58.998)
Epoch: [2][1500/14090]	Time 0.784 (0.759)	Data 0.001 (0.003)	Loss 2.6843 (3.0328)	Prec@1 35.156 (29.603)	Prec@5 62.500 (58.988)
Epoch: [2][1510/14090]	Time 0.753 (0.759)	Data 0.001 (0.003)	Loss 2.9006 (3.0322)	Prec@1 34.375 (29.624)	Prec@5 63.281 (58.998)
Epoch: [2][1520/14090]	Time 0.757 (0.759)	Data 0.001 (0.003)	Loss 3.0647 (3.0319)	Prec@1 32.812 (29.633)	Prec@5 57.812 (58.994)
Epoch: [2][1530/14090]	Time 0.780 (0.759)	Data 0.001 (0.003)	Loss 3.2052 (3.0314)	Prec@1 23.438 (29.642)	Prec@5 50.781 (58.997)
Epoch: [2][1540/14090]	Time 0.758 (0.759)	Data 0.001 (0.003)	Loss 2.7863 (3.0309)	Prec@1 35.156 (29.653)	Prec@5 64.062 (59.016)
Epoch: [2][1550/14090]	Time 0.782 (0.759)	Data 0.001 (0.003)	Loss 2.9309 (3.0310)	Prec@1 30.469 (29.647)	Prec@5 61.719 (59.015)
Epoch: [2][1560/14090]	Time 0.782 (0.759)	Data 0.001 (0.003)	Loss 2.9536 (3.0308)	Prec@1 34.375 (29.649)	Prec@5 59.375 (59.022)
Epoch: [2][1570/14090]	Time 0.743 (0.759)	Data 0.001 (0.003)	Loss 2.8765 (3.0304)	Prec@1 33.594 (29.650)	Prec@5 66.406 (59.027)
Epoch: [2][1580/14090]	Time 0.778 (0.759)	Data 0.001 (0.003)	Loss 2.6668 (3.0305)	Prec@1 40.625 (29.646)	Prec@5 64.062 (59.034)
Epoch: [2][1590/14090]	Time 0.750 (0.759)	Data 0.001 (0.003)	Loss 2.9932 (3.0309)	Prec@1 34.375 (29.648)	Prec@5 59.375 (59.028)
Epoch: [2][1600/14090]	Time 0.733 (0.759)	Data 0.001 (0.003)	Loss 3.0189 (3.0308)	Prec@1 31.250 (29.659)	Prec@5 57.812 (59.030)
Epoch: [2][1610/14090]	Time 0.747 (0.759)	Data 0.001 (0.003)	Loss 3.2833 (3.0309)	Prec@1 32.031 (29.660)	Prec@5 56.250 (59.034)
Epoch: [2][1620/14090]	Time 0.867 (0.759)	Data 0.001 (0.003)	Loss 2.9929 (3.0310)	Prec@1 32.812 (29.661)	Prec@5 58.594 (59.032)
Epoch: [2][1630/14090]	Time 0.739 (0.759)	Data 0.001 (0.003)	Loss 3.0847 (3.0312)	Prec@1 29.688 (29.653)	Prec@5 54.688 (59.022)
Epoch: [2][1640/14090]	Time 0.741 (0.758)	Data 0.002 (0.003)	Loss 3.0230 (3.0309)	Prec@1 28.906 (29.656)	Prec@5 59.375 (59.027)
Epoch: [2][1650/14090]	Time 0.757 (0.758)	Data 0.001 (0.003)	Loss 2.9108 (3.0306)	Prec@1 32.031 (29.654)	Prec@5 61.719 (59.035)
Epoch: [2][1660/14090]	Time 0.757 (0.759)	Data 0.001 (0.003)	Loss 3.3439 (3.0309)	Prec@1 25.781 (29.662)	Prec@5 54.688 (59.033)
Epoch: [2][1670/14090]	Time 0.756 (0.759)	Data 0.001 (0.003)	Loss 3.3113 (3.0309)	Prec@1 25.781 (29.659)	Prec@5 46.875 (59.026)
Epoch: [2][1680/14090]	Time 0.760 (0.759)	Data 0.002 (0.003)	Loss 3.1341 (3.0309)	Prec@1 27.344 (29.661)	Prec@5 54.688 (59.024)
Epoch: [2][1690/14090]	Time 0.875 (0.759)	Data 0.001 (0.003)	Loss 3.2064 (3.0311)	Prec@1 28.125 (29.663)	Prec@5 59.375 (59.024)
Epoch: [2][1700/14090]	Time 0.733 (0.759)	Data 0.001 (0.003)	Loss 2.9587 (3.0317)	Prec@1 28.125 (29.662)	Prec@5 60.156 (59.011)
Epoch: [2][1710/14090]	Time 0.753 (0.759)	Data 0.001 (0.003)	Loss 2.8486 (3.0316)	Prec@1 37.500 (29.673)	Prec@5 64.844 (59.015)
Epoch: [2][1720/14090]	Time 0.740 (0.759)	Data 0.001 (0.003)	Loss 3.0364 (3.0313)	Prec@1 31.250 (29.679)	Prec@5 58.594 (59.018)
Epoch: [2][1730/14090]	Time 0.735 (0.759)	Data 0.001 (0.003)	Loss 2.7317 (3.0307)	Prec@1 34.375 (29.688)	Prec@5 68.750 (59.024)
Epoch: [2][1740/14090]	Time 0.752 (0.759)	Data 0.001 (0.003)	Loss 2.9624 (3.0309)	Prec@1 29.688 (29.676)	Prec@5 59.375 (59.013)
Epoch: [2][1750/14090]	Time 0.748 (0.759)	Data 0.001 (0.003)	Loss 2.8140 (3.0305)	Prec@1 32.812 (29.689)	Prec@5 64.844 (59.027)
Epoch: [2][1760/14090]	Time 0.769 (0.759)	Data 0.001 (0.003)	Loss 2.6839 (3.0298)	Prec@1 33.594 (29.701)	Prec@5 62.500 (59.040)
Epoch: [2][1770/14090]	Time 0.751 (0.759)	Data 0.001 (0.003)	Loss 3.2520 (3.0300)	Prec@1 28.906 (29.695)	Prec@5 51.562 (59.038)
Epoch: [2][1780/14090]	Time 0.730 (0.759)	Data 0.001 (0.003)	Loss 3.4252 (3.0301)	Prec@1 21.875 (29.694)	Prec@5 50.000 (59.042)
Epoch: [2][1790/14090]	Time 0.769 (0.759)	Data 0.001 (0.003)	Loss 3.1200 (3.0302)	Prec@1 32.031 (29.692)	Prec@5 56.250 (59.044)
Epoch: [2][1800/14090]	Time 0.739 (0.759)	Data 0.001 (0.003)	Loss 2.9127 (3.0300)	Prec@1 28.906 (29.703)	Prec@5 57.031 (59.048)
Epoch: [2][1810/14090]	Time 0.783 (0.759)	Data 0.001 (0.003)	Loss 2.9633 (3.0294)	Prec@1 32.031 (29.709)	Prec@5 60.156 (59.064)
Epoch: [2][1820/14090]	Time 0.753 (0.759)	Data 0.001 (0.003)	Loss 3.1153 (3.0295)	Prec@1 25.000 (29.701)	Prec@5 56.250 (59.062)
Epoch: [2][1830/14090]	Time 0.734 (0.759)	Data 0.001 (0.003)	Loss 3.0323 (3.0291)	Prec@1 26.562 (29.709)	Prec@5 57.031 (59.068)
Epoch: [2][1840/14090]	Time 0.724 (0.759)	Data 0.001 (0.003)	Loss 3.1350 (3.0294)	Prec@1 28.906 (29.709)	Prec@5 54.688 (59.059)
Epoch: [2][1850/14090]	Time 0.735 (0.759)	Data 0.001 (0.003)	Loss 2.9896 (3.0292)	Prec@1 32.031 (29.715)	Prec@5 60.938 (59.065)
Epoch: [2][1860/14090]	Time 0.762 (0.758)	Data 0.001 (0.003)	Loss 3.1380 (3.0298)	Prec@1 29.688 (29.708)	Prec@5 57.812 (59.055)
Epoch: [2][1870/14090]	Time 0.784 (0.759)	Data 0.001 (0.003)	Loss 3.0995 (3.0296)	Prec@1 28.906 (29.717)	Prec@5 57.812 (59.064)
Epoch: [2][1880/14090]	Time 0.747 (0.758)	Data 0.001 (0.003)	Loss 3.2862 (3.0298)	Prec@1 22.656 (29.714)	Prec@5 51.562 (59.059)
Epoch: [2][1890/14090]	Time 0.741 (0.758)	Data 0.001 (0.003)	Loss 3.0242 (3.0298)	Prec@1 29.688 (29.718)	Prec@5 60.938 (59.063)
Epoch: [2][1900/14090]	Time 0.754 (0.758)	Data 0.001 (0.003)	Loss 2.8667 (3.0298)	Prec@1 35.938 (29.718)	Prec@5 65.625 (59.064)
Epoch: [2][1910/14090]	Time 0.737 (0.758)	Data 0.001 (0.003)	Loss 2.8289 (3.0300)	Prec@1 28.906 (29.705)	Prec@5 60.156 (59.058)
Epoch: [2][1920/14090]	Time 0.780 (0.758)	Data 0.001 (0.003)	Loss 3.0350 (3.0294)	Prec@1 27.344 (29.707)	Prec@5 67.188 (59.078)
Epoch: [2][1930/14090]	Time 0.762 (0.758)	Data 0.001 (0.003)	Loss 3.1801 (3.0297)	Prec@1 25.781 (29.696)	Prec@5 57.812 (59.068)
Epoch: [2][1940/14090]	Time 0.771 (0.758)	Data 0.001 (0.003)	Loss 2.9424 (3.0292)	Prec@1 28.906 (29.699)	Prec@5 59.375 (59.074)
Epoch: [2][1950/14090]	Time 0.748 (0.758)	Data 0.001 (0.003)	Loss 2.8847 (3.0291)	Prec@1 29.688 (29.698)	Prec@5 59.375 (59.076)
Epoch: [2][1960/14090]	Time 0.769 (0.758)	Data 0.001 (0.003)	Loss 3.2666 (3.0290)	Prec@1 30.469 (29.700)	Prec@5 54.688 (59.075)
Epoch: [2][1970/14090]	Time 0.729 (0.758)	Data 0.001 (0.003)	Loss 2.9487 (3.0288)	Prec@1 35.156 (29.704)	Prec@5 58.594 (59.087)
Epoch: [2][1980/14090]	Time 0.738 (0.758)	Data 0.001 (0.003)	Loss 2.9360 (3.0292)	Prec@1 30.469 (29.691)	Prec@5 59.375 (59.084)
Epoch: [2][1990/14090]	Time 0.749 (0.758)	Data 0.001 (0.003)	Loss 2.8376 (3.0293)	Prec@1 28.906 (29.689)	Prec@5 65.625 (59.081)
Epoch: [2][2000/14090]	Time 0.749 (0.758)	Data 0.001 (0.003)	Loss 2.7610 (3.0290)	Prec@1 35.156 (29.684)	Prec@5 60.938 (59.084)
Epoch: [2][2010/14090]	Time 0.780 (0.758)	Data 0.001 (0.003)	Loss 2.9566 (3.0289)	Prec@1 30.469 (29.683)	Prec@5 57.812 (59.086)
Epoch: [2][2020/14090]	Time 0.738 (0.758)	Data 0.001 (0.003)	Loss 3.0487 (3.0288)	Prec@1 29.688 (29.681)	Prec@5 56.250 (59.089)
Epoch: [2][2030/14090]	Time 0.762 (0.758)	Data 0.001 (0.003)	Loss 2.7663 (3.0288)	Prec@1 32.812 (29.683)	Prec@5 59.375 (59.087)
Epoch: [2][2040/14090]	Time 0.761 (0.758)	Data 0.001 (0.003)	Loss 2.8427 (3.0285)	Prec@1 28.906 (29.683)	Prec@5 63.281 (59.093)
Epoch: [2][2050/14090]	Time 0.750 (0.758)	Data 0.001 (0.003)	Loss 2.8674 (3.0278)	Prec@1 30.469 (29.693)	Prec@5 63.281 (59.100)
Epoch: [2][2060/14090]	Time 0.751 (0.758)	Data 0.001 (0.003)	Loss 3.2903 (3.0277)	Prec@1 25.000 (29.695)	Prec@5 54.688 (59.105)
Epoch: [2][2070/14090]	Time 0.752 (0.758)	Data 0.001 (0.003)	Loss 3.2791 (3.0279)	Prec@1 23.438 (29.690)	Prec@5 53.906 (59.102)
Epoch: [2][2080/14090]	Time 0.754 (0.758)	Data 0.001 (0.003)	Loss 3.2429 (3.0288)	Prec@1 28.125 (29.682)	Prec@5 58.594 (59.082)
Epoch: [2][2090/14090]	Time 0.766 (0.758)	Data 0.001 (0.003)	Loss 2.9308 (3.0286)	Prec@1 33.594 (29.688)	Prec@5 60.938 (59.083)
Epoch: [2][2100/14090]	Time 0.756 (0.758)	Data 0.001 (0.002)	Loss 3.2104 (3.0283)	Prec@1 31.250 (29.692)	Prec@5 53.906 (59.087)
Epoch: [2][2110/14090]	Time 0.771 (0.758)	Data 0.001 (0.002)	Loss 2.8123 (3.0279)	Prec@1 39.062 (29.705)	Prec@5 62.500 (59.097)
Epoch: [2][2120/14090]	Time 0.760 (0.758)	Data 0.001 (0.002)	Loss 3.0307 (3.0276)	Prec@1 31.250 (29.713)	Prec@5 60.938 (59.102)
Epoch: [2][2130/14090]	Time 0.738 (0.758)	Data 0.001 (0.002)	Loss 3.1550 (3.0277)	Prec@1 28.125 (29.715)	Prec@5 52.344 (59.101)
Epoch: [2][2140/14090]	Time 0.753 (0.758)	Data 0.001 (0.002)	Loss 2.9926 (3.0278)	Prec@1 30.469 (29.717)	Prec@5 57.031 (59.099)
Epoch: [2][2150/14090]	Time 0.762 (0.758)	Data 0.001 (0.002)	Loss 2.8736 (3.0279)	Prec@1 32.812 (29.713)	Prec@5 57.812 (59.094)
Epoch: [2][2160/14090]	Time 0.758 (0.758)	Data 0.003 (0.002)	Loss 2.9902 (3.0274)	Prec@1 23.438 (29.713)	Prec@5 60.938 (59.104)
Epoch: [2][2170/14090]	Time 0.740 (0.758)	Data 0.001 (0.002)	Loss 2.8736 (3.0270)	Prec@1 36.719 (29.720)	Prec@5 60.938 (59.111)
Epoch: [2][2180/14090]	Time 0.860 (0.758)	Data 0.001 (0.002)	Loss 2.7731 (3.0269)	Prec@1 29.688 (29.711)	Prec@5 65.625 (59.115)
Epoch: [2][2190/14090]	Time 0.741 (0.758)	Data 0.001 (0.002)	Loss 2.9795 (3.0270)	Prec@1 32.812 (29.706)	Prec@5 61.719 (59.118)
Epoch: [2][2200/14090]	Time 0.729 (0.758)	Data 0.001 (0.002)	Loss 2.9039 (3.0269)	Prec@1 34.375 (29.712)	Prec@5 63.281 (59.121)
Epoch: [2][2210/14090]	Time 0.779 (0.758)	Data 0.001 (0.002)	Loss 2.9634 (3.0268)	Prec@1 31.250 (29.708)	Prec@5 64.062 (59.124)
Epoch: [2][2220/14090]	Time 0.757 (0.758)	Data 0.001 (0.002)	Loss 3.1524 (3.0271)	Prec@1 25.781 (29.702)	Prec@5 57.031 (59.111)
Epoch: [2][2230/14090]	Time 0.737 (0.758)	Data 0.001 (0.002)	Loss 2.9967 (3.0271)	Prec@1 28.906 (29.698)	Prec@5 57.812 (59.109)
Epoch: [2][2240/14090]	Time 0.749 (0.758)	Data 0.001 (0.002)	Loss 2.8497 (3.0271)	Prec@1 37.500 (29.711)	Prec@5 61.719 (59.114)
Epoch: [2][2250/14090]	Time 0.727 (0.758)	Data 0.001 (0.002)	Loss 2.8900 (3.0273)	Prec@1 32.812 (29.712)	Prec@5 59.375 (59.109)
Epoch: [2][2260/14090]	Time 0.754 (0.758)	Data 0.001 (0.002)	Loss 2.8451 (3.0273)	Prec@1 34.375 (29.710)	Prec@5 58.594 (59.111)
Epoch: [2][2270/14090]	Time 0.751 (0.758)	Data 0.001 (0.002)	Loss 3.0243 (3.0267)	Prec@1 32.031 (29.713)	Prec@5 58.594 (59.123)
Epoch: [2][2280/14090]	Time 0.758 (0.758)	Data 0.001 (0.002)	Loss 2.9893 (3.0267)	Prec@1 32.031 (29.708)	Prec@5 62.500 (59.120)
Epoch: [2][2290/14090]	Time 0.737 (0.758)	Data 0.001 (0.002)	Loss 2.9545 (3.0268)	Prec@1 27.344 (29.708)	Prec@5 63.281 (59.122)
Epoch: [2][2300/14090]	Time 0.739 (0.758)	Data 0.001 (0.002)	Loss 2.7854 (3.0270)	Prec@1 40.625 (29.708)	Prec@5 64.062 (59.119)
Epoch: [2][2310/14090]	Time 0.739 (0.758)	Data 0.001 (0.002)	Loss 3.0459 (3.0272)	Prec@1 28.906 (29.714)	Prec@5 57.812 (59.113)
Epoch: [2][2320/14090]	Time 0.763 (0.758)	Data 0.001 (0.002)	Loss 2.9041 (3.0269)	Prec@1 30.469 (29.718)	Prec@5 60.156 (59.118)
Epoch: [2][2330/14090]	Time 0.771 (0.758)	Data 0.001 (0.002)	Loss 3.1250 (3.0268)	Prec@1 25.781 (29.719)	Prec@5 57.812 (59.123)
Epoch: [2][2340/14090]	Time 0.747 (0.758)	Data 0.001 (0.002)	Loss 2.8388 (3.0265)	Prec@1 34.375 (29.726)	Prec@5 58.594 (59.121)
Epoch: [2][2350/14090]	Time 0.762 (0.758)	Data 0.001 (0.002)	Loss 2.8422 (3.0263)	Prec@1 33.594 (29.725)	Prec@5 62.500 (59.128)
Epoch: [2][2360/14090]	Time 0.751 (0.758)	Data 0.001 (0.002)	Loss 3.1929 (3.0264)	Prec@1 21.094 (29.716)	Prec@5 59.375 (59.127)
Epoch: [2][2370/14090]	Time 0.765 (0.758)	Data 0.001 (0.002)	Loss 2.9107 (3.0263)	Prec@1 31.250 (29.721)	Prec@5 63.281 (59.129)
Epoch: [2][2380/14090]	Time 0.762 (0.758)	Data 0.001 (0.002)	Loss 3.0966 (3.0262)	Prec@1 28.906 (29.723)	Prec@5 54.688 (59.134)
Epoch: [2][2390/14090]	Time 0.758 (0.758)	Data 0.001 (0.002)	Loss 3.2078 (3.0260)	Prec@1 28.125 (29.724)	Prec@5 57.031 (59.139)
Epoch: [2][2400/14090]	Time 0.737 (0.758)	Data 0.001 (0.002)	Loss 2.9762 (3.0258)	Prec@1 31.250 (29.727)	Prec@5 60.156 (59.144)
Epoch: [2][2410/14090]	Time 0.751 (0.758)	Data 0.001 (0.002)	Loss 3.0836 (3.0258)	Prec@1 34.375 (29.727)	Prec@5 56.250 (59.143)
Epoch: [2][2420/14090]	Time 0.786 (0.758)	Data 0.001 (0.002)	Loss 2.9908 (3.0256)	Prec@1 32.031 (29.732)	Prec@5 60.156 (59.149)
Epoch: [2][2430/14090]	Time 0.757 (0.758)	Data 0.001 (0.002)	Loss 2.7104 (3.0256)	Prec@1 29.688 (29.727)	Prec@5 61.719 (59.142)
Epoch: [2][2440/14090]	Time 0.738 (0.758)	Data 0.001 (0.002)	Loss 3.0229 (3.0258)	Prec@1 29.688 (29.728)	Prec@5 62.500 (59.139)
Epoch: [2][2450/14090]	Time 0.753 (0.758)	Data 0.001 (0.002)	Loss 3.0685 (3.0257)	Prec@1 22.656 (29.734)	Prec@5 53.125 (59.144)
Epoch: [2][2460/14090]	Time 0.747 (0.758)	Data 0.001 (0.002)	Loss 3.2622 (3.0257)	Prec@1 27.344 (29.733)	Prec@5 54.688 (59.146)
Epoch: [2][2470/14090]	Time 0.740 (0.758)	Data 0.001 (0.002)	Loss 3.2509 (3.0257)	Prec@1 26.562 (29.735)	Prec@5 51.562 (59.139)
Epoch: [2][2480/14090]	Time 0.748 (0.758)	Data 0.001 (0.002)	Loss 2.9817 (3.0255)	Prec@1 29.688 (29.738)	Prec@5 60.156 (59.145)
Epoch: [2][2490/14090]	Time 0.756 (0.758)	Data 0.001 (0.002)	Loss 3.0221 (3.0255)	Prec@1 30.469 (29.731)	Prec@5 55.469 (59.148)
Epoch: [2][2500/14090]	Time 0.775 (0.758)	Data 0.001 (0.002)	Loss 2.9113 (3.0256)	Prec@1 32.031 (29.730)	Prec@5 57.812 (59.153)
Epoch: [2][2510/14090]	Time 0.733 (0.758)	Data 0.001 (0.002)	Loss 2.8468 (3.0254)	Prec@1 32.031 (29.728)	Prec@5 61.719 (59.162)
Epoch: [2][2520/14090]	Time 0.773 (0.758)	Data 0.001 (0.002)	Loss 2.8910 (3.0253)	Prec@1 28.906 (29.729)	Prec@5 65.625 (59.164)
Epoch: [2][2530/14090]	Time 0.744 (0.758)	Data 0.001 (0.002)	Loss 2.9237 (3.0255)	Prec@1 30.469 (29.729)	Prec@5 60.156 (59.162)
Epoch: [2][2540/14090]	Time 0.765 (0.758)	Data 0.001 (0.002)	Loss 3.1636 (3.0257)	Prec@1 25.781 (29.727)	Prec@5 58.594 (59.158)
Epoch: [2][2550/14090]	Time 0.754 (0.758)	Data 0.001 (0.002)	Loss 2.9421 (3.0259)	Prec@1 28.125 (29.724)	Prec@5 64.062 (59.155)
Epoch: [2][2560/14090]	Time 0.773 (0.758)	Data 0.001 (0.002)	Loss 3.1131 (3.0256)	Prec@1 28.906 (29.729)	Prec@5 59.375 (59.169)
Epoch: [2][2570/14090]	Time 0.738 (0.758)	Data 0.001 (0.002)	Loss 3.0176 (3.0252)	Prec@1 28.125 (29.739)	Prec@5 57.812 (59.177)
Epoch: [2][2580/14090]	Time 0.763 (0.758)	Data 0.001 (0.002)	Loss 3.1192 (3.0251)	Prec@1 26.562 (29.744)	Prec@5 58.594 (59.180)
Epoch: [2][2590/14090]	Time 0.757 (0.758)	Data 0.001 (0.002)	Loss 3.1070 (3.0252)	Prec@1 27.344 (29.744)	Prec@5 58.594 (59.173)
Epoch: [2][2600/14090]	Time 0.736 (0.758)	Data 0.001 (0.002)	Loss 3.1165 (3.0251)	Prec@1 31.250 (29.747)	Prec@5 57.812 (59.174)
Epoch: [2][2610/14090]	Time 0.729 (0.758)	Data 0.001 (0.002)	Loss 3.2018 (3.0249)	Prec@1 23.438 (29.747)	Prec@5 55.469 (59.175)
Epoch: [2][2620/14090]	Time 0.750 (0.758)	Data 0.001 (0.002)	Loss 2.8022 (3.0247)	Prec@1 31.250 (29.755)	Prec@5 64.844 (59.180)
Epoch: [2][2630/14090]	Time 0.747 (0.758)	Data 0.001 (0.002)	Loss 3.0356 (3.0247)	Prec@1 28.906 (29.755)	Prec@5 61.719 (59.187)
Epoch: [2][2640/14090]	Time 0.777 (0.758)	Data 0.001 (0.002)	Loss 3.0441 (3.0246)	Prec@1 28.125 (29.757)	Prec@5 54.688 (59.192)
Epoch: [2][2650/14090]	Time 0.753 (0.758)	Data 0.001 (0.002)	Loss 2.9524 (3.0246)	Prec@1 32.031 (29.759)	Prec@5 61.719 (59.191)
Epoch: [2][2660/14090]	Time 0.763 (0.758)	Data 0.001 (0.002)	Loss 3.1006 (3.0246)	Prec@1 29.688 (29.754)	Prec@5 54.688 (59.196)
Epoch: [2][2670/14090]	Time 0.780 (0.758)	Data 0.001 (0.002)	Loss 3.0064 (3.0247)	Prec@1 28.906 (29.750)	Prec@5 59.375 (59.197)
Epoch: [2][2680/14090]	Time 0.772 (0.758)	Data 0.001 (0.002)	Loss 2.8267 (3.0245)	Prec@1 35.938 (29.755)	Prec@5 62.500 (59.200)
Epoch: [2][2690/14090]	Time 0.755 (0.758)	Data 0.001 (0.002)	Loss 3.0934 (3.0243)	Prec@1 31.250 (29.763)	Prec@5 56.250 (59.205)
Epoch: [2][2700/14090]	Time 0.765 (0.758)	Data 0.001 (0.002)	Loss 2.9970 (3.0245)	Prec@1 28.906 (29.758)	Prec@5 61.719 (59.196)
Epoch: [2][2710/14090]	Time 0.739 (0.758)	Data 0.001 (0.002)	Loss 2.9640 (3.0245)	Prec@1 25.781 (29.758)	Prec@5 58.594 (59.197)
Epoch: [2][2720/14090]	Time 0.769 (0.758)	Data 0.001 (0.002)	Loss 3.2469 (3.0249)	Prec@1 28.125 (29.759)	Prec@5 55.469 (59.186)
Epoch: [2][2730/14090]	Time 0.760 (0.758)	Data 0.001 (0.002)	Loss 2.7059 (3.0246)	Prec@1 34.375 (29.757)	Prec@5 64.062 (59.185)
Epoch: [2][2740/14090]	Time 0.750 (0.758)	Data 0.001 (0.002)	Loss 3.0941 (3.0245)	Prec@1 28.125 (29.760)	Prec@5 51.562 (59.183)
Epoch: [2][2750/14090]	Time 0.728 (0.758)	Data 0.001 (0.002)	Loss 2.9171 (3.0240)	Prec@1 28.906 (29.770)	Prec@5 59.375 (59.198)
Epoch: [2][2760/14090]	Time 0.760 (0.758)	Data 0.001 (0.002)	Loss 2.7626 (3.0239)	Prec@1 34.375 (29.771)	Prec@5 65.625 (59.206)
Epoch: [2][2770/14090]	Time 0.741 (0.758)	Data 0.001 (0.002)	Loss 3.3141 (3.0237)	Prec@1 22.656 (29.773)	Prec@5 53.125 (59.210)
Epoch: [2][2780/14090]	Time 0.744 (0.758)	Data 0.001 (0.002)	Loss 3.0153 (3.0238)	Prec@1 26.562 (29.768)	Prec@5 61.719 (59.211)
Epoch: [2][2790/14090]	Time 0.746 (0.758)	Data 0.001 (0.002)	Loss 2.9421 (3.0236)	Prec@1 35.156 (29.775)	Prec@5 59.375 (59.210)
Epoch: [2][2800/14090]	Time 0.726 (0.758)	Data 0.001 (0.002)	Loss 2.8256 (3.0232)	Prec@1 28.906 (29.776)	Prec@5 67.188 (59.220)
Epoch: [2][2810/14090]	Time 0.769 (0.758)	Data 0.001 (0.002)	Loss 2.8126 (3.0231)	Prec@1 34.375 (29.776)	Prec@5 63.281 (59.225)
Epoch: [2][2820/14090]	Time 0.749 (0.758)	Data 0.001 (0.002)	Loss 2.8626 (3.0231)	Prec@1 34.375 (29.777)	Prec@5 64.062 (59.224)
Epoch: [2][2830/14090]	Time 0.739 (0.758)	Data 0.001 (0.002)	Loss 2.9720 (3.0232)	Prec@1 30.469 (29.771)	Prec@5 57.031 (59.221)
Epoch: [2][2840/14090]	Time 0.744 (0.758)	Data 0.001 (0.002)	Loss 3.0853 (3.0234)	Prec@1 21.875 (29.769)	Prec@5 55.469 (59.213)
Epoch: [2][2850/14090]	Time 0.771 (0.758)	Data 0.001 (0.002)	Loss 2.9930 (3.0234)	Prec@1 35.156 (29.777)	Prec@5 60.156 (59.219)
Epoch: [2][2860/14090]	Time 0.751 (0.757)	Data 0.001 (0.002)	Loss 3.1146 (3.0231)	Prec@1 27.344 (29.778)	Prec@5 57.031 (59.219)
Epoch: [2][2870/14090]	Time 0.727 (0.757)	Data 0.001 (0.002)	Loss 2.8384 (3.0231)	Prec@1 36.719 (29.784)	Prec@5 60.156 (59.219)
Epoch: [2][2880/14090]	Time 0.727 (0.757)	Data 0.001 (0.002)	Loss 3.0067 (3.0229)	Prec@1 28.906 (29.791)	Prec@5 63.281 (59.222)
Epoch: [2][2890/14090]	Time 0.753 (0.757)	Data 0.001 (0.002)	Loss 3.3020 (3.0231)	Prec@1 25.781 (29.790)	Prec@5 53.906 (59.217)
Epoch: [2][2900/14090]	Time 0.776 (0.757)	Data 0.001 (0.002)	Loss 3.0575 (3.0231)	Prec@1 28.906 (29.792)	Prec@5 58.594 (59.217)
Epoch: [2][2910/14090]	Time 0.760 (0.757)	Data 0.001 (0.002)	Loss 2.9334 (3.0235)	Prec@1 36.719 (29.789)	Prec@5 59.375 (59.209)
Epoch: [2][2920/14090]	Time 0.759 (0.757)	Data 0.001 (0.002)	Loss 2.9597 (3.0236)	Prec@1 33.594 (29.787)	Prec@5 61.719 (59.206)
Epoch: [2][2930/14090]	Time 0.748 (0.757)	Data 0.001 (0.002)	Loss 2.9674 (3.0237)	Prec@1 25.781 (29.786)	Prec@5 58.594 (59.196)
Epoch: [2][2940/14090]	Time 0.748 (0.757)	Data 0.001 (0.002)	Loss 2.9266 (3.0235)	Prec@1 24.219 (29.784)	Prec@5 60.156 (59.195)
Epoch: [2][2950/14090]	Time 0.743 (0.757)	Data 0.001 (0.002)	Loss 3.2063 (3.0234)	Prec@1 26.562 (29.783)	Prec@5 57.812 (59.199)
Epoch: [2][2960/14090]	Time 0.773 (0.757)	Data 0.001 (0.002)	Loss 2.7870 (3.0235)	Prec@1 35.938 (29.779)	Prec@5 66.406 (59.201)
Epoch: [2][2970/14090]	Time 0.744 (0.757)	Data 0.001 (0.002)	Loss 3.0025 (3.0237)	Prec@1 28.125 (29.773)	Prec@5 62.500 (59.202)
Epoch: [2][2980/14090]	Time 0.742 (0.757)	Data 0.001 (0.002)	Loss 2.9384 (3.0236)	Prec@1 37.500 (29.778)	Prec@5 60.156 (59.204)
Epoch: [2][2990/14090]	Time 0.764 (0.757)	Data 0.001 (0.002)	Loss 3.2430 (3.0235)	Prec@1 21.094 (29.770)	Prec@5 53.125 (59.209)
Epoch: [2][3000/14090]	Time 0.799 (0.757)	Data 0.001 (0.002)	Loss 3.4257 (3.0239)	Prec@1 22.656 (29.767)	Prec@5 53.125 (59.201)
Epoch: [2][3010/14090]	Time 0.763 (0.757)	Data 0.001 (0.002)	Loss 2.9662 (3.0239)	Prec@1 29.688 (29.762)	Prec@5 61.719 (59.198)
Epoch: [2][3020/14090]	Time 0.763 (0.757)	Data 0.001 (0.002)	Loss 3.0424 (3.0237)	Prec@1 29.688 (29.764)	Prec@5 58.594 (59.202)
Epoch: [2][3030/14090]	Time 0.755 (0.757)	Data 0.001 (0.002)	Loss 3.2373 (3.0239)	Prec@1 35.938 (29.759)	Prec@5 56.250 (59.197)
Epoch: [2][3040/14090]	Time 0.764 (0.757)	Data 0.001 (0.002)	Loss 2.9604 (3.0240)	Prec@1 32.812 (29.758)	Prec@5 59.375 (59.202)
Epoch: [2][3050/14090]	Time 0.742 (0.757)	Data 0.001 (0.002)	Loss 2.7569 (3.0236)	Prec@1 32.031 (29.765)	Prec@5 59.375 (59.212)
Epoch: [2][3060/14090]	Time 0.765 (0.757)	Data 0.001 (0.002)	Loss 2.8682 (3.0233)	Prec@1 27.344 (29.766)	Prec@5 61.719 (59.219)
Epoch: [2][3070/14090]	Time 0.757 (0.757)	Data 0.001 (0.002)	Loss 2.8548 (3.0232)	Prec@1 29.688 (29.764)	Prec@5 66.406 (59.219)
Epoch: [2][3080/14090]	Time 0.748 (0.757)	Data 0.001 (0.002)	Loss 3.1867 (3.0231)	Prec@1 28.125 (29.768)	Prec@5 55.469 (59.219)
Epoch: [2][3090/14090]	Time 0.725 (0.757)	Data 0.001 (0.002)	Loss 2.8014 (3.0229)	Prec@1 30.469 (29.771)	Prec@5 71.094 (59.228)
Epoch: [2][3100/14090]	Time 0.755 (0.757)	Data 0.001 (0.002)	Loss 2.9028 (3.0227)	Prec@1 30.469 (29.775)	Prec@5 60.938 (59.227)
Epoch: [2][3110/14090]	Time 0.781 (0.757)	Data 0.001 (0.002)	Loss 2.9948 (3.0228)	Prec@1 27.344 (29.777)	Prec@5 58.594 (59.223)
Epoch: [2][3120/14090]	Time 0.749 (0.757)	Data 0.001 (0.002)	Loss 2.9840 (3.0228)	Prec@1 28.125 (29.780)	Prec@5 60.938 (59.226)
Epoch: [2][3130/14090]	Time 0.746 (0.757)	Data 0.001 (0.002)	Loss 2.8909 (3.0229)	Prec@1 32.031 (29.779)	Prec@5 65.625 (59.231)
Epoch: [2][3140/14090]	Time 0.739 (0.757)	Data 0.001 (0.002)	Loss 3.0049 (3.0230)	Prec@1 28.906 (29.781)	Prec@5 56.250 (59.231)
Epoch: [2][3150/14090]	Time 0.747 (0.757)	Data 0.001 (0.002)	Loss 3.1727 (3.0230)	Prec@1 25.781 (29.782)	Prec@5 53.906 (59.235)
Epoch: [2][3160/14090]	Time 0.733 (0.757)	Data 0.001 (0.002)	Loss 2.9927 (3.0227)	Prec@1 29.688 (29.786)	Prec@5 56.250 (59.240)
Epoch: [2][3170/14090]	Time 0.753 (0.757)	Data 0.001 (0.002)	Loss 2.9260 (3.0228)	Prec@1 27.344 (29.783)	Prec@5 58.594 (59.239)
Epoch: [2][3180/14090]	Time 0.752 (0.757)	Data 0.001 (0.002)	Loss 3.1474 (3.0230)	Prec@1 27.344 (29.780)	Prec@5 56.250 (59.234)
Epoch: [2][3190/14090]	Time 0.746 (0.757)	Data 0.001 (0.002)	Loss 3.1739 (3.0229)	Prec@1 25.000 (29.779)	Prec@5 54.688 (59.245)
Epoch: [2][3200/14090]	Time 0.751 (0.757)	Data 0.001 (0.002)	Loss 3.0652 (3.0228)	Prec@1 28.125 (29.781)	Prec@5 61.719 (59.249)
Epoch: [2][3210/14090]	Time 0.737 (0.757)	Data 0.001 (0.002)	Loss 2.8045 (3.0227)	Prec@1 33.594 (29.785)	Prec@5 60.156 (59.251)
Epoch: [2][3220/14090]	Time 0.759 (0.757)	Data 0.001 (0.002)	Loss 3.1266 (3.0229)	Prec@1 32.812 (29.785)	Prec@5 54.688 (59.248)
Epoch: [2][3230/14090]	Time 0.747 (0.757)	Data 0.001 (0.002)	Loss 2.7952 (3.0227)	Prec@1 30.469 (29.787)	Prec@5 65.625 (59.252)
Epoch: [2][3240/14090]	Time 0.763 (0.757)	Data 0.001 (0.002)	Loss 2.9130 (3.0226)	Prec@1 33.594 (29.791)	Prec@5 62.500 (59.256)
Epoch: [2][3250/14090]	Time 0.738 (0.757)	Data 0.001 (0.002)	Loss 3.1243 (3.0228)	Prec@1 21.875 (29.785)	Prec@5 54.688 (59.252)
Epoch: [2][3260/14090]	Time 0.738 (0.757)	Data 0.001 (0.002)	Loss 3.0221 (3.0229)	Prec@1 28.906 (29.780)	Prec@5 59.375 (59.247)
Epoch: [2][3270/14090]	Time 0.781 (0.757)	Data 0.001 (0.002)	Loss 2.9506 (3.0229)	Prec@1 25.781 (29.784)	Prec@5 61.719 (59.245)
Epoch: [2][3280/14090]	Time 0.744 (0.757)	Data 0.001 (0.002)	Loss 3.0180 (3.0228)	Prec@1 35.156 (29.789)	Prec@5 57.031 (59.248)
Epoch: [2][3290/14090]	Time 0.756 (0.757)	Data 0.001 (0.002)	Loss 3.1678 (3.0228)	Prec@1 28.125 (29.787)	Prec@5 52.344 (59.248)
Epoch: [2][3300/14090]	Time 0.765 (0.757)	Data 0.001 (0.002)	Loss 2.7957 (3.0227)	Prec@1 33.594 (29.790)	Prec@5 64.844 (59.249)
Epoch: [2][3310/14090]	Time 0.781 (0.757)	Data 0.001 (0.002)	Loss 3.0726 (3.0227)	Prec@1 22.656 (29.793)	Prec@5 55.469 (59.248)
Epoch: [2][3320/14090]	Time 0.764 (0.757)	Data 0.001 (0.002)	Loss 2.7055 (3.0224)	Prec@1 40.625 (29.794)	Prec@5 68.750 (59.257)
Epoch: [2][3330/14090]	Time 0.772 (0.757)	Data 0.001 (0.002)	Loss 3.3250 (3.0226)	Prec@1 28.125 (29.792)	Prec@5 49.219 (59.254)
Epoch: [2][3340/14090]	Time 0.730 (0.757)	Data 0.001 (0.002)	Loss 3.0057 (3.0226)	Prec@1 29.688 (29.785)	Prec@5 59.375 (59.252)
Epoch: [2][3350/14090]	Time 0.767 (0.757)	Data 0.001 (0.002)	Loss 3.1417 (3.0227)	Prec@1 30.469 (29.787)	Prec@5 56.250 (59.252)
Epoch: [2][3360/14090]	Time 0.752 (0.757)	Data 0.001 (0.002)	Loss 3.2046 (3.0227)	Prec@1 32.031 (29.784)	Prec@5 56.250 (59.245)
Epoch: [2][3370/14090]	Time 0.744 (0.757)	Data 0.001 (0.002)	Loss 2.9405 (3.0227)	Prec@1 26.562 (29.782)	Prec@5 57.812 (59.245)
Epoch: [2][3380/14090]	Time 0.747 (0.757)	Data 0.001 (0.002)	Loss 2.6938 (3.0225)	Prec@1 34.375 (29.789)	Prec@5 63.281 (59.251)
Epoch: [2][3390/14090]	Time 0.762 (0.757)	Data 0.001 (0.002)	Loss 2.9276 (3.0224)	Prec@1 31.250 (29.788)	Prec@5 56.250 (59.251)
Epoch: [2][3400/14090]	Time 0.757 (0.757)	Data 0.001 (0.002)	Loss 2.9869 (3.0225)	Prec@1 28.906 (29.786)	Prec@5 60.156 (59.249)
Epoch: [2][3410/14090]	Time 0.758 (0.757)	Data 0.001 (0.002)	Loss 2.8513 (3.0225)	Prec@1 32.812 (29.786)	Prec@5 62.500 (59.252)
Epoch: [2][3420/14090]	Time 0.755 (0.757)	Data 0.001 (0.002)	Loss 3.0031 (3.0224)	Prec@1 33.594 (29.787)	Prec@5 58.594 (59.254)
Epoch: [2][3430/14090]	Time 0.752 (0.757)	Data 0.001 (0.002)	Loss 3.2105 (3.0222)	Prec@1 29.688 (29.794)	Prec@5 57.812 (59.264)
Epoch: [2][3440/14090]	Time 0.756 (0.757)	Data 0.001 (0.002)	Loss 3.2058 (3.0221)	Prec@1 29.688 (29.794)	Prec@5 53.906 (59.264)
Epoch: [2][3450/14090]	Time 0.747 (0.757)	Data 0.001 (0.002)	Loss 3.1092 (3.0221)	Prec@1 27.344 (29.791)	Prec@5 60.938 (59.264)
Epoch: [2][3460/14090]	Time 0.781 (0.757)	Data 0.001 (0.002)	Loss 2.9587 (3.0222)	Prec@1 34.375 (29.795)	Prec@5 63.281 (59.259)
Epoch: [2][3470/14090]	Time 0.776 (0.757)	Data 0.001 (0.002)	Loss 2.8249 (3.0222)	Prec@1 31.250 (29.796)	Prec@5 60.938 (59.259)
Epoch: [2][3480/14090]	Time 0.738 (0.757)	Data 0.001 (0.002)	Loss 3.1566 (3.0222)	Prec@1 27.344 (29.797)	Prec@5 54.688 (59.255)
Epoch: [2][3490/14090]	Time 0.759 (0.757)	Data 0.001 (0.002)	Loss 3.0513 (3.0219)	Prec@1 32.812 (29.802)	Prec@5 58.594 (59.259)
Epoch: [2][3500/14090]	Time 0.759 (0.757)	Data 0.001 (0.002)	Loss 2.8144 (3.0220)	Prec@1 35.156 (29.801)	Prec@5 66.406 (59.263)
Epoch: [2][3510/14090]	Time 0.781 (0.757)	Data 0.001 (0.002)	Loss 3.4056 (3.0222)	Prec@1 28.906 (29.798)	Prec@5 52.344 (59.261)
Epoch: [2][3520/14090]	Time 0.741 (0.757)	Data 0.001 (0.002)	Loss 2.7614 (3.0222)	Prec@1 32.812 (29.798)	Prec@5 60.938 (59.260)
Epoch: [2][3530/14090]	Time 0.759 (0.757)	Data 0.001 (0.002)	Loss 2.8798 (3.0221)	Prec@1 32.031 (29.799)	Prec@5 62.500 (59.261)
Epoch: [2][3540/14090]	Time 0.731 (0.757)	Data 0.001 (0.002)	Loss 3.2245 (3.0224)	Prec@1 24.219 (29.789)	Prec@5 54.688 (59.257)
Epoch: [2][3550/14090]	Time 0.742 (0.757)	Data 0.001 (0.002)	Loss 3.0343 (3.0222)	Prec@1 24.219 (29.792)	Prec@5 58.594 (59.262)
Epoch: [2][3560/14090]	Time 0.757 (0.757)	Data 0.001 (0.002)	Loss 2.8251 (3.0222)	Prec@1 34.375 (29.791)	Prec@5 60.156 (59.263)
Epoch: [2][3570/14090]	Time 0.767 (0.757)	Data 0.001 (0.002)	Loss 2.9286 (3.0221)	Prec@1 31.250 (29.791)	Prec@5 57.812 (59.266)
Epoch: [2][3580/14090]	Time 0.743 (0.757)	Data 0.001 (0.002)	Loss 3.0935 (3.0222)	Prec@1 18.750 (29.794)	Prec@5 61.719 (59.267)
Epoch: [2][3590/14090]	Time 0.752 (0.757)	Data 0.001 (0.002)	Loss 3.0474 (3.0221)	Prec@1 28.906 (29.796)	Prec@5 64.062 (59.274)
Epoch: [2][3600/14090]	Time 0.740 (0.757)	Data 0.001 (0.002)	Loss 2.8417 (3.0219)	Prec@1 31.250 (29.797)	Prec@5 57.812 (59.276)
Epoch: [2][3610/14090]	Time 0.739 (0.757)	Data 0.001 (0.002)	Loss 2.9866 (3.0221)	Prec@1 26.562 (29.797)	Prec@5 64.062 (59.273)
Epoch: [2][3620/14090]	Time 0.762 (0.757)	Data 0.001 (0.002)	Loss 3.2890 (3.0219)	Prec@1 24.219 (29.806)	Prec@5 55.469 (59.276)
Epoch: [2][3630/14090]	Time 0.735 (0.757)	Data 0.001 (0.002)	Loss 2.9500 (3.0218)	Prec@1 31.250 (29.810)	Prec@5 63.281 (59.279)
Epoch: [2][3640/14090]	Time 0.745 (0.757)	Data 0.001 (0.002)	Loss 3.1744 (3.0218)	Prec@1 31.250 (29.809)	Prec@5 58.594 (59.273)
Epoch: [2][3650/14090]	Time 0.763 (0.757)	Data 0.001 (0.002)	Loss 3.2544 (3.0217)	Prec@1 25.000 (29.809)	Prec@5 53.125 (59.275)
Epoch: [2][3660/14090]	Time 0.770 (0.757)	Data 0.001 (0.002)	Loss 2.8944 (3.0217)	Prec@1 33.594 (29.815)	Prec@5 64.844 (59.276)
Epoch: [2][3670/14090]	Time 0.756 (0.757)	Data 0.001 (0.002)	Loss 2.9737 (3.0213)	Prec@1 29.688 (29.822)	Prec@5 64.844 (59.284)
Epoch: [2][3680/14090]	Time 0.763 (0.757)	Data 0.001 (0.002)	Loss 3.2599 (3.0213)	Prec@1 26.562 (29.824)	Prec@5 60.156 (59.287)
Epoch: [2][3690/14090]	Time 0.761 (0.757)	Data 0.001 (0.002)	Loss 2.9605 (3.0212)	Prec@1 27.344 (29.821)	Prec@5 60.938 (59.289)
Epoch: [2][3700/14090]	Time 0.755 (0.757)	Data 0.001 (0.002)	Loss 3.0544 (3.0213)	Prec@1 35.938 (29.823)	Prec@5 63.281 (59.288)
Epoch: [2][3710/14090]	Time 0.754 (0.757)	Data 0.001 (0.002)	Loss 2.9986 (3.0214)	Prec@1 28.906 (29.818)	Prec@5 58.594 (59.286)
Epoch: [2][3720/14090]	Time 0.748 (0.757)	Data 0.001 (0.002)	Loss 2.8846 (3.0215)	Prec@1 31.250 (29.817)	Prec@5 64.844 (59.285)
Epoch: [2][3730/14090]	Time 0.758 (0.757)	Data 0.001 (0.002)	Loss 3.1249 (3.0215)	Prec@1 31.250 (29.820)	Prec@5 54.688 (59.282)
Epoch: [2][3740/14090]	Time 0.754 (0.757)	Data 0.001 (0.002)	Loss 3.1754 (3.0216)	Prec@1 27.344 (29.818)	Prec@5 59.375 (59.281)
Epoch: [2][3750/14090]	Time 0.746 (0.757)	Data 0.001 (0.002)	Loss 2.8350 (3.0215)	Prec@1 30.469 (29.816)	Prec@5 61.719 (59.287)
Epoch: [2][3760/14090]	Time 0.756 (0.757)	Data 0.001 (0.002)	Loss 3.1273 (3.0214)	Prec@1 25.781 (29.818)	Prec@5 61.719 (59.286)
Epoch: [2][3770/14090]	Time 0.761 (0.757)	Data 0.001 (0.002)	Loss 3.2117 (3.0212)	Prec@1 23.438 (29.822)	Prec@5 54.688 (59.288)
Epoch: [2][3780/14090]	Time 0.793 (0.757)	Data 0.001 (0.002)	Loss 2.9981 (3.0212)	Prec@1 28.906 (29.822)	Prec@5 62.500 (59.289)
Epoch: [2][3790/14090]	Time 0.735 (0.757)	Data 0.001 (0.002)	Loss 3.2356 (3.0215)	Prec@1 26.562 (29.818)	Prec@5 52.344 (59.284)
Epoch: [2][3800/14090]	Time 0.777 (0.757)	Data 0.001 (0.002)	Loss 2.9019 (3.0214)	Prec@1 28.906 (29.821)	Prec@5 62.500 (59.282)
Epoch: [2][3810/14090]	Time 0.761 (0.757)	Data 0.001 (0.002)	Loss 2.7431 (3.0215)	Prec@1 35.938 (29.821)	Prec@5 63.281 (59.283)
Epoch: [2][3820/14090]	Time 0.782 (0.757)	Data 0.001 (0.002)	Loss 3.0974 (3.0217)	Prec@1 30.469 (29.817)	Prec@5 58.594 (59.278)
Epoch: [2][3830/14090]	Time 0.750 (0.757)	Data 0.001 (0.002)	Loss 2.9539 (3.0219)	Prec@1 28.125 (29.812)	Prec@5 59.375 (59.272)
Epoch: [2][3840/14090]	Time 0.768 (0.757)	Data 0.001 (0.002)	Loss 3.2151 (3.0218)	Prec@1 20.312 (29.811)	Prec@5 57.812 (59.276)
Epoch: [2][3850/14090]	Time 0.752 (0.757)	Data 0.001 (0.002)	Loss 2.8485 (3.0220)	Prec@1 30.469 (29.813)	Prec@5 62.500 (59.275)
Epoch: [2][3860/14090]	Time 0.760 (0.757)	Data 0.001 (0.002)	Loss 3.0709 (3.0218)	Prec@1 32.031 (29.816)	Prec@5 56.250 (59.274)
Epoch: [2][3870/14090]	Time 0.756 (0.757)	Data 0.001 (0.002)	Loss 2.8147 (3.0217)	Prec@1 36.719 (29.818)	Prec@5 63.281 (59.273)
Epoch: [2][3880/14090]	Time 0.751 (0.757)	Data 0.001 (0.002)	Loss 3.2267 (3.0217)	Prec@1 32.031 (29.819)	Prec@5 54.688 (59.278)
Epoch: [2][3890/14090]	Time 0.744 (0.757)	Data 0.001 (0.002)	Loss 2.8924 (3.0216)	Prec@1 35.156 (29.821)	Prec@5 64.062 (59.280)
Epoch: [2][3900/14090]	Time 0.729 (0.757)	Data 0.001 (0.002)	Loss 3.1493 (3.0217)	Prec@1 26.562 (29.821)	Prec@5 53.125 (59.276)
Epoch: [2][3910/14090]	Time 0.746 (0.757)	Data 0.001 (0.002)	Loss 3.0218 (3.0217)	Prec@1 27.344 (29.822)	Prec@5 57.812 (59.273)
Epoch: [2][3920/14090]	Time 0.749 (0.757)	Data 0.001 (0.002)	Loss 2.8504 (3.0218)	Prec@1 27.344 (29.818)	Prec@5 64.062 (59.273)
Epoch: [2][3930/14090]	Time 0.759 (0.757)	Data 0.001 (0.002)	Loss 3.0229 (3.0218)	Prec@1 30.469 (29.819)	Prec@5 60.938 (59.272)
Epoch: [2][3940/14090]	Time 0.754 (0.757)	Data 0.001 (0.002)	Loss 3.1752 (3.0217)	Prec@1 31.250 (29.824)	Prec@5 57.031 (59.273)
Epoch: [2][3950/14090]	Time 0.752 (0.757)	Data 0.001 (0.002)	Loss 3.0517 (3.0216)	Prec@1 27.344 (29.821)	Prec@5 63.281 (59.274)
Epoch: [2][3960/14090]	Time 0.750 (0.757)	Data 0.000 (0.002)	Loss 3.0867 (3.0216)	Prec@1 28.906 (29.823)	Prec@5 57.031 (59.281)
Epoch: [2][3970/14090]	Time 0.743 (0.757)	Data 0.001 (0.002)	Loss 2.6511 (3.0214)	Prec@1 38.281 (29.828)	Prec@5 63.281 (59.285)
Epoch: [2][3980/14090]	Time 0.742 (0.757)	Data 0.001 (0.002)	Loss 2.6944 (3.0213)	Prec@1 35.156 (29.826)	Prec@5 63.281 (59.287)
Epoch: [2][3990/14090]	Time 0.749 (0.757)	Data 0.001 (0.002)	Loss 2.7346 (3.0211)	Prec@1 37.500 (29.830)	Prec@5 64.062 (59.293)
Epoch: [2][4000/14090]	Time 0.743 (0.757)	Data 0.001 (0.002)	Loss 3.0590 (3.0210)	Prec@1 30.469 (29.834)	Prec@5 57.812 (59.295)
Epoch: [2][4010/14090]	Time 0.752 (0.757)	Data 0.001 (0.002)	Loss 2.9079 (3.0209)	Prec@1 28.125 (29.835)	Prec@5 61.719 (59.294)
Epoch: [2][4020/14090]	Time 0.757 (0.757)	Data 0.001 (0.002)	Loss 3.0859 (3.0208)	Prec@1 28.906 (29.836)	Prec@5 53.906 (59.296)
Epoch: [2][4030/14090]	Time 0.752 (0.757)	Data 0.001 (0.002)	Loss 3.0495 (3.0209)	Prec@1 30.469 (29.838)	Prec@5 54.688 (59.288)
Epoch: [2][4040/14090]	Time 0.734 (0.757)	Data 0.001 (0.002)	Loss 3.0157 (3.0207)	Prec@1 28.125 (29.837)	Prec@5 60.938 (59.292)
Epoch: [2][4050/14090]	Time 0.760 (0.757)	Data 0.001 (0.002)	Loss 2.9308 (3.0207)	Prec@1 32.031 (29.839)	Prec@5 61.719 (59.292)
Epoch: [2][4060/14090]	Time 0.795 (0.757)	Data 0.001 (0.002)	Loss 3.1101 (3.0208)	Prec@1 24.219 (29.831)	Prec@5 50.781 (59.288)
Epoch: [2][4070/14090]	Time 0.759 (0.757)	Data 0.001 (0.002)	Loss 2.8562 (3.0208)	Prec@1 31.250 (29.831)	Prec@5 60.938 (59.287)
Epoch: [2][4080/14090]	Time 0.771 (0.757)	Data 0.001 (0.002)	Loss 3.1442 (3.0209)	Prec@1 28.906 (29.828)	Prec@5 57.031 (59.287)
Epoch: [2][4090/14090]	Time 0.747 (0.757)	Data 0.001 (0.002)	Loss 2.9478 (3.0210)	Prec@1 32.031 (29.824)	Prec@5 62.500 (59.281)
Epoch: [2][4100/14090]	Time 0.756 (0.757)	Data 0.001 (0.002)	Loss 2.9193 (3.0210)	Prec@1 28.906 (29.824)	Prec@5 60.156 (59.280)
Epoch: [2][4110/14090]	Time 0.747 (0.757)	Data 0.001 (0.002)	Loss 2.9116 (3.0209)	Prec@1 31.250 (29.826)	Prec@5 55.469 (59.281)
Epoch: [2][4120/14090]	Time 0.755 (0.757)	Data 0.001 (0.002)	Loss 3.3967 (3.0209)	Prec@1 24.219 (29.828)	Prec@5 53.906 (59.282)
Epoch: [2][4130/14090]	Time 0.763 (0.757)	Data 0.001 (0.002)	Loss 2.5919 (3.0208)	Prec@1 34.375 (29.833)	Prec@5 68.750 (59.285)
Epoch: [2][4140/14090]	Time 0.753 (0.757)	Data 0.001 (0.002)	Loss 3.0765 (3.0207)	Prec@1 28.906 (29.836)	Prec@5 58.594 (59.288)
Epoch: [2][4150/14090]	Time 0.768 (0.757)	Data 0.001 (0.002)	Loss 2.9645 (3.0208)	Prec@1 30.469 (29.834)	Prec@5 59.375 (59.286)
Epoch: [2][4160/14090]	Time 0.748 (0.757)	Data 0.001 (0.002)	Loss 3.3988 (3.0207)	Prec@1 28.125 (29.836)	Prec@5 49.219 (59.292)
Epoch: [2][4170/14090]	Time 0.757 (0.757)	Data 0.001 (0.002)	Loss 2.8831 (3.0206)	Prec@1 29.688 (29.837)	Prec@5 60.938 (59.293)
Epoch: [2][4180/14090]	Time 0.746 (0.757)	Data 0.001 (0.002)	Loss 3.0257 (3.0205)	Prec@1 29.688 (29.840)	Prec@5 59.375 (59.293)
Epoch: [2][4190/14090]	Time 0.750 (0.757)	Data 0.001 (0.002)	Loss 2.9822 (3.0206)	Prec@1 28.125 (29.837)	Prec@5 61.719 (59.294)
Epoch: [2][4200/14090]	Time 0.783 (0.757)	Data 0.001 (0.002)	Loss 2.7675 (3.0205)	Prec@1 34.375 (29.839)	Prec@5 65.625 (59.294)
Epoch: [2][4210/14090]	Time 0.747 (0.757)	Data 0.001 (0.002)	Loss 3.1318 (3.0205)	Prec@1 29.688 (29.843)	Prec@5 53.125 (59.296)
Epoch: [2][4220/14090]	Time 0.745 (0.757)	Data 0.001 (0.002)	Loss 3.1998 (3.0205)	Prec@1 29.688 (29.841)	Prec@5 51.562 (59.293)
Epoch: [2][4230/14090]	Time 0.747 (0.757)	Data 0.001 (0.002)	Loss 3.3469 (3.0207)	Prec@1 28.125 (29.839)	Prec@5 56.250 (59.290)
Epoch: [2][4240/14090]	Time 0.730 (0.757)	Data 0.001 (0.002)	Loss 2.9131 (3.0207)	Prec@1 31.250 (29.839)	Prec@5 57.812 (59.291)
Epoch: [2][4250/14090]	Time 0.756 (0.757)	Data 0.001 (0.002)	Loss 3.0332 (3.0207)	Prec@1 29.688 (29.843)	Prec@5 58.594 (59.292)
Epoch: [2][4260/14090]	Time 0.741 (0.757)	Data 0.001 (0.002)	Loss 2.7214 (3.0205)	Prec@1 34.375 (29.844)	Prec@5 63.281 (59.296)
Epoch: [2][4270/14090]	Time 0.739 (0.757)	Data 0.001 (0.002)	Loss 3.0347 (3.0202)	Prec@1 30.469 (29.843)	Prec@5 54.688 (59.300)
Epoch: [2][4280/14090]	Time 0.758 (0.757)	Data 0.001 (0.002)	Loss 2.7887 (3.0201)	Prec@1 34.375 (29.842)	Prec@5 56.250 (59.304)
Epoch: [2][4290/14090]	Time 0.739 (0.757)	Data 0.001 (0.002)	Loss 3.0051 (3.0202)	Prec@1 28.125 (29.841)	Prec@5 56.250 (59.299)
Epoch: [2][4300/14090]	Time 0.753 (0.757)	Data 0.001 (0.002)	Loss 2.8367 (3.0200)	Prec@1 28.906 (29.841)	Prec@5 57.812 (59.303)
Epoch: [2][4310/14090]	Time 0.764 (0.757)	Data 0.001 (0.002)	Loss 3.2500 (3.0199)	Prec@1 25.000 (29.846)	Prec@5 55.469 (59.307)
Epoch: [2][4320/14090]	Time 0.722 (0.757)	Data 0.001 (0.002)	Loss 3.2030 (3.0199)	Prec@1 23.438 (29.847)	Prec@5 55.469 (59.306)
Epoch: [2][4330/14090]	Time 0.736 (0.757)	Data 0.001 (0.002)	Loss 3.2466 (3.0198)	Prec@1 28.125 (29.846)	Prec@5 56.250 (59.305)
Epoch: [2][4340/14090]	Time 0.741 (0.757)	Data 0.001 (0.002)	Loss 3.1899 (3.0199)	Prec@1 34.375 (29.849)	Prec@5 53.125 (59.304)
Epoch: [2][4350/14090]	Time 0.735 (0.757)	Data 0.001 (0.002)	Loss 3.0427 (3.0199)	Prec@1 32.031 (29.851)	Prec@5 56.250 (59.303)
Epoch: [2][4360/14090]	Time 0.726 (0.757)	Data 0.001 (0.002)	Loss 2.8515 (3.0196)	Prec@1 28.906 (29.852)	Prec@5 60.156 (59.311)
Epoch: [2][4370/14090]	Time 0.749 (0.757)	Data 0.001 (0.002)	Loss 3.0688 (3.0195)	Prec@1 26.562 (29.852)	Prec@5 53.125 (59.312)
Epoch: [2][4380/14090]	Time 0.759 (0.757)	Data 0.001 (0.002)	Loss 2.9666 (3.0196)	Prec@1 28.125 (29.850)	Prec@5 64.062 (59.307)
Epoch: [2][4390/14090]	Time 0.728 (0.757)	Data 0.001 (0.002)	Loss 3.0385 (3.0194)	Prec@1 32.812 (29.855)	Prec@5 53.125 (59.314)
Epoch: [2][4400/14090]	Time 0.725 (0.757)	Data 0.001 (0.002)	Loss 2.8673 (3.0193)	Prec@1 34.375 (29.857)	Prec@5 57.812 (59.316)
Epoch: [2][4410/14090]	Time 0.743 (0.757)	Data 0.001 (0.002)	Loss 3.2290 (3.0193)	Prec@1 25.781 (29.859)	Prec@5 57.031 (59.315)
Epoch: [2][4420/14090]	Time 0.737 (0.757)	Data 0.001 (0.002)	Loss 3.0446 (3.0194)	Prec@1 30.469 (29.859)	Prec@5 58.594 (59.313)
Epoch: [2][4430/14090]	Time 0.750 (0.757)	Data 0.001 (0.002)	Loss 2.9559 (3.0196)	Prec@1 28.906 (29.856)	Prec@5 59.375 (59.310)
Epoch: [2][4440/14090]	Time 0.741 (0.757)	Data 0.001 (0.002)	Loss 3.1426 (3.0198)	Prec@1 28.906 (29.851)	Prec@5 58.594 (59.305)
Epoch: [2][4450/14090]	Time 0.734 (0.757)	Data 0.001 (0.002)	Loss 3.2270 (3.0198)	Prec@1 26.562 (29.852)	Prec@5 55.469 (59.306)
Epoch: [2][4460/14090]	Time 0.760 (0.757)	Data 0.001 (0.002)	Loss 3.1794 (3.0197)	Prec@1 25.781 (29.853)	Prec@5 51.562 (59.308)
Epoch: [2][4470/14090]	Time 0.736 (0.757)	Data 0.001 (0.002)	Loss 2.9609 (3.0196)	Prec@1 28.906 (29.853)	Prec@5 55.469 (59.310)
Epoch: [2][4480/14090]	Time 0.743 (0.757)	Data 0.001 (0.002)	Loss 3.2255 (3.0195)	Prec@1 29.688 (29.855)	Prec@5 50.000 (59.312)
Epoch: [2][4490/14090]	Time 0.735 (0.757)	Data 0.001 (0.002)	Loss 2.7410 (3.0193)	Prec@1 36.719 (29.859)	Prec@5 67.188 (59.320)
Epoch: [2][4500/14090]	Time 0.765 (0.756)	Data 0.001 (0.002)	Loss 3.0134 (3.0194)	Prec@1 29.688 (29.860)	Prec@5 58.594 (59.315)
Epoch: [2][4510/14090]	Time 0.783 (0.756)	Data 0.001 (0.002)	Loss 3.1154 (3.0194)	Prec@1 26.562 (29.861)	Prec@5 61.719 (59.319)
Epoch: [2][4520/14090]	Time 0.754 (0.756)	Data 0.001 (0.002)	Loss 2.9760 (3.0194)	Prec@1 27.344 (29.860)	Prec@5 60.156 (59.322)
Epoch: [2][4530/14090]	Time 0.750 (0.756)	Data 0.001 (0.002)	Loss 3.1200 (3.0193)	Prec@1 28.125 (29.861)	Prec@5 53.906 (59.323)
Epoch: [2][4540/14090]	Time 0.748 (0.756)	Data 0.001 (0.002)	Loss 2.9107 (3.0190)	Prec@1 29.688 (29.864)	Prec@5 61.719 (59.325)
Epoch: [2][4550/14090]	Time 0.741 (0.756)	Data 0.001 (0.002)	Loss 3.4116 (3.0190)	Prec@1 25.000 (29.866)	Prec@5 49.219 (59.322)
Epoch: [2][4560/14090]	Time 0.762 (0.756)	Data 0.001 (0.002)	Loss 2.9582 (3.0191)	Prec@1 31.250 (29.864)	Prec@5 67.188 (59.324)
Epoch: [2][4570/14090]	Time 0.738 (0.756)	Data 0.001 (0.002)	Loss 3.1059 (3.0190)	Prec@1 28.906 (29.864)	Prec@5 54.688 (59.323)
Epoch: [2][4580/14090]	Time 0.750 (0.756)	Data 0.001 (0.002)	Loss 3.1132 (3.0189)	Prec@1 26.562 (29.866)	Prec@5 57.031 (59.323)
Epoch: [2][4590/14090]	Time 0.748 (0.756)	Data 0.001 (0.002)	Loss 3.1806 (3.0190)	Prec@1 22.656 (29.862)	Prec@5 57.812 (59.324)
Epoch: [2][4600/14090]	Time 0.735 (0.756)	Data 0.001 (0.002)	Loss 3.0046 (3.0189)	Prec@1 32.812 (29.865)	Prec@5 61.719 (59.325)
Epoch: [2][4610/14090]	Time 0.755 (0.756)	Data 0.001 (0.002)	Loss 3.0531 (3.0190)	Prec@1 28.125 (29.863)	Prec@5 57.031 (59.322)
Epoch: [2][4620/14090]	Time 0.750 (0.756)	Data 0.001 (0.002)	Loss 3.2871 (3.0189)	Prec@1 27.344 (29.869)	Prec@5 55.469 (59.327)
Epoch: [2][4630/14090]	Time 0.734 (0.756)	Data 0.001 (0.002)	Loss 2.8768 (3.0190)	Prec@1 27.344 (29.868)	Prec@5 64.062 (59.325)
Epoch: [2][4640/14090]	Time 0.747 (0.756)	Data 0.001 (0.002)	Loss 2.9707 (3.0189)	Prec@1 25.000 (29.870)	Prec@5 61.719 (59.329)
Epoch: [2][4650/14090]	Time 0.733 (0.756)	Data 0.001 (0.002)	Loss 2.9035 (3.0188)	Prec@1 31.250 (29.873)	Prec@5 61.719 (59.329)
Epoch: [2][4660/14090]	Time 0.756 (0.756)	Data 0.001 (0.002)	Loss 3.1907 (3.0187)	Prec@1 31.250 (29.875)	Prec@5 54.688 (59.332)
Epoch: [2][4670/14090]	Time 0.746 (0.756)	Data 0.001 (0.002)	Loss 2.5472 (3.0186)	Prec@1 38.281 (29.875)	Prec@5 69.531 (59.332)
Epoch: [2][4680/14090]	Time 0.740 (0.756)	Data 0.001 (0.002)	Loss 3.1610 (3.0187)	Prec@1 30.469 (29.875)	Prec@5 54.688 (59.331)
Epoch: [2][4690/14090]	Time 0.758 (0.756)	Data 0.001 (0.002)	Loss 3.1024 (3.0187)	Prec@1 27.344 (29.872)	Prec@5 58.594 (59.331)
Epoch: [2][4700/14090]	Time 0.758 (0.756)	Data 0.001 (0.002)	Loss 3.1675 (3.0189)	Prec@1 28.906 (29.870)	Prec@5 51.562 (59.325)
Epoch: [2][4710/14090]	Time 0.750 (0.756)	Data 0.001 (0.002)	Loss 2.8801 (3.0190)	Prec@1 28.906 (29.868)	Prec@5 57.812 (59.317)
Epoch: [2][4720/14090]	Time 0.751 (0.756)	Data 0.001 (0.002)	Loss 3.0127 (3.0190)	Prec@1 28.906 (29.868)	Prec@5 56.250 (59.318)
Epoch: [2][4730/14090]	Time 0.769 (0.756)	Data 0.001 (0.002)	Loss 3.1872 (3.0190)	Prec@1 23.438 (29.871)	Prec@5 58.594 (59.319)
Epoch: [2][4740/14090]	Time 0.777 (0.756)	Data 0.001 (0.002)	Loss 2.7624 (3.0189)	Prec@1 33.594 (29.871)	Prec@5 60.938 (59.318)
Epoch: [2][4750/14090]	Time 0.736 (0.756)	Data 0.001 (0.002)	Loss 3.4245 (3.0189)	Prec@1 20.312 (29.870)	Prec@5 51.562 (59.320)
Epoch: [2][4760/14090]	Time 0.743 (0.756)	Data 0.001 (0.002)	Loss 3.2854 (3.0187)	Prec@1 25.000 (29.876)	Prec@5 55.469 (59.325)
Epoch: [2][4770/14090]	Time 0.737 (0.756)	Data 0.001 (0.002)	Loss 3.1147 (3.0187)	Prec@1 28.906 (29.877)	Prec@5 57.031 (59.327)
Epoch: [2][4780/14090]	Time 0.759 (0.756)	Data 0.001 (0.002)	Loss 2.8942 (3.0186)	Prec@1 29.688 (29.880)	Prec@5 60.938 (59.329)
Epoch: [2][4790/14090]	Time 0.771 (0.756)	Data 0.001 (0.002)	Loss 3.0655 (3.0184)	Prec@1 25.000 (29.879)	Prec@5 61.719 (59.332)
Epoch: [2][4800/14090]	Time 0.735 (0.756)	Data 0.001 (0.002)	Loss 2.8961 (3.0184)	Prec@1 31.250 (29.884)	Prec@5 62.500 (59.331)
Epoch: [2][4810/14090]	Time 0.745 (0.756)	Data 0.001 (0.002)	Loss 3.1414 (3.0184)	Prec@1 28.125 (29.885)	Prec@5 53.125 (59.330)
Epoch: [2][4820/14090]	Time 0.759 (0.756)	Data 0.001 (0.002)	Loss 3.2031 (3.0185)	Prec@1 31.250 (29.882)	Prec@5 59.375 (59.325)
Epoch: [2][4830/14090]	Time 0.764 (0.756)	Data 0.001 (0.002)	Loss 3.6322 (3.0188)	Prec@1 19.531 (29.874)	Prec@5 42.188 (59.319)
Epoch: [2][4840/14090]	Time 0.750 (0.756)	Data 0.001 (0.002)	Loss 2.8623 (3.0187)	Prec@1 28.125 (29.876)	Prec@5 64.062 (59.325)
Epoch: [2][4850/14090]	Time 0.761 (0.756)	Data 0.001 (0.002)	Loss 2.9629 (3.0186)	Prec@1 27.344 (29.874)	Prec@5 57.031 (59.324)
Epoch: [2][4860/14090]	Time 0.755 (0.756)	Data 0.001 (0.002)	Loss 3.0244 (3.0186)	Prec@1 28.125 (29.874)	Prec@5 53.906 (59.322)
Epoch: [2][4870/14090]	Time 0.739 (0.756)	Data 0.001 (0.002)	Loss 2.8869 (3.0186)	Prec@1 28.125 (29.874)	Prec@5 63.281 (59.321)
Epoch: [2][4880/14090]	Time 0.736 (0.756)	Data 0.001 (0.002)	Loss 3.0597 (3.0186)	Prec@1 33.594 (29.875)	Prec@5 59.375 (59.321)
Epoch: [2][4890/14090]	Time 0.781 (0.756)	Data 0.001 (0.002)	Loss 2.6879 (3.0185)	Prec@1 36.719 (29.876)	Prec@5 68.750 (59.320)
Epoch: [2][4900/14090]	Time 0.781 (0.756)	Data 0.001 (0.002)	Loss 3.0007 (3.0183)	Prec@1 31.250 (29.880)	Prec@5 58.594 (59.323)
Epoch: [2][4910/14090]	Time 0.766 (0.756)	Data 0.001 (0.002)	Loss 3.0775 (3.0184)	Prec@1 32.812 (29.881)	Prec@5 53.906 (59.319)
Epoch: [2][4920/14090]	Time 0.744 (0.756)	Data 0.001 (0.002)	Loss 3.3013 (3.0184)	Prec@1 25.781 (29.881)	Prec@5 56.250 (59.319)
Epoch: [2][4930/14090]	Time 0.732 (0.756)	Data 0.001 (0.002)	Loss 3.1072 (3.0184)	Prec@1 25.000 (29.878)	Prec@5 50.781 (59.317)
Epoch: [2][4940/14090]	Time 0.764 (0.756)	Data 0.001 (0.002)	Loss 3.1786 (3.0186)	Prec@1 23.438 (29.872)	Prec@5 51.562 (59.314)
Epoch: [2][4950/14090]	Time 0.745 (0.756)	Data 0.001 (0.002)	Loss 2.8100 (3.0184)	Prec@1 31.250 (29.874)	Prec@5 60.156 (59.316)
Epoch: [2][4960/14090]	Time 0.741 (0.756)	Data 0.001 (0.002)	Loss 3.1755 (3.0183)	Prec@1 32.031 (29.877)	Prec@5 53.906 (59.322)
Epoch: [2][4970/14090]	Time 0.733 (0.756)	Data 0.001 (0.002)	Loss 3.0134 (3.0184)	Prec@1 31.250 (29.877)	Prec@5 64.844 (59.320)
Epoch: [2][4980/14090]	Time 0.767 (0.756)	Data 0.001 (0.002)	Loss 2.9933 (3.0183)	Prec@1 31.250 (29.879)	Prec@5 62.500 (59.321)
Epoch: [2][4990/14090]	Time 0.754 (0.756)	Data 0.001 (0.002)	Loss 3.0147 (3.0182)	Prec@1 33.594 (29.880)	Prec@5 58.594 (59.320)
Epoch: [2][5000/14090]	Time 0.741 (0.756)	Data 0.001 (0.002)	Loss 2.9260 (3.0182)	Prec@1 32.031 (29.880)	Prec@5 59.375 (59.319)
Epoch: [2][5010/14090]	Time 0.755 (0.756)	Data 0.001 (0.002)	Loss 3.0845 (3.0181)	Prec@1 28.906 (29.883)	Prec@5 60.156 (59.322)
Epoch: [2][5020/14090]	Time 0.746 (0.756)	Data 0.001 (0.001)	Loss 2.9421 (3.0181)	Prec@1 32.031 (29.883)	Prec@5 64.062 (59.322)
Epoch: [2][5030/14090]	Time 0.741 (0.756)	Data 0.001 (0.001)	Loss 2.9901 (3.0180)	Prec@1 29.688 (29.884)	Prec@5 63.281 (59.326)
Epoch: [2][5040/14090]	Time 0.776 (0.756)	Data 0.001 (0.001)	Loss 3.1601 (3.0179)	Prec@1 27.344 (29.889)	Prec@5 58.594 (59.332)
Epoch: [2][5050/14090]	Time 0.758 (0.756)	Data 0.001 (0.001)	Loss 3.0277 (3.0179)	Prec@1 28.906 (29.889)	Prec@5 59.375 (59.334)
Epoch: [2][5060/14090]	Time 0.757 (0.756)	Data 0.001 (0.001)	Loss 2.9373 (3.0180)	Prec@1 25.000 (29.888)	Prec@5 60.156 (59.333)
Epoch: [2][5070/14090]	Time 0.749 (0.756)	Data 0.001 (0.001)	Loss 2.9535 (3.0179)	Prec@1 32.031 (29.888)	Prec@5 60.156 (59.335)
Epoch: [2][5080/14090]	Time 0.753 (0.756)	Data 0.001 (0.001)	Loss 2.8493 (3.0178)	Prec@1 33.594 (29.891)	Prec@5 63.281 (59.337)
Epoch: [2][5090/14090]	Time 0.759 (0.756)	Data 0.001 (0.001)	Loss 3.0475 (3.0178)	Prec@1 32.031 (29.893)	Prec@5 56.250 (59.338)
Epoch: [2][5100/14090]	Time 0.748 (0.756)	Data 0.001 (0.001)	Loss 3.0260 (3.0179)	Prec@1 34.375 (29.892)	Prec@5 60.156 (59.335)
Epoch: [2][5110/14090]	Time 0.765 (0.756)	Data 0.001 (0.001)	Loss 3.2728 (3.0179)	Prec@1 28.125 (29.892)	Prec@5 57.812 (59.336)
Epoch: [2][5120/14090]	Time 0.737 (0.756)	Data 0.001 (0.001)	Loss 2.6405 (3.0176)	Prec@1 42.188 (29.898)	Prec@5 65.625 (59.342)
Epoch: [2][5130/14090]	Time 0.756 (0.756)	Data 0.001 (0.001)	Loss 2.9960 (3.0174)	Prec@1 28.906 (29.898)	Prec@5 58.594 (59.349)
Epoch: [2][5140/14090]	Time 0.762 (0.756)	Data 0.001 (0.001)	Loss 2.9584 (3.0173)	Prec@1 29.688 (29.900)	Prec@5 61.719 (59.351)
Epoch: [2][5150/14090]	Time 0.760 (0.756)	Data 0.001 (0.001)	Loss 2.9529 (3.0172)	Prec@1 32.812 (29.902)	Prec@5 60.938 (59.351)
Epoch: [2][5160/14090]	Time 0.742 (0.756)	Data 0.001 (0.001)	Loss 3.1644 (3.0172)	Prec@1 24.219 (29.900)	Prec@5 56.250 (59.351)
Epoch: [2][5170/14090]	Time 0.752 (0.756)	Data 0.001 (0.001)	Loss 2.9597 (3.0170)	Prec@1 33.594 (29.905)	Prec@5 64.844 (59.355)
Epoch: [2][5180/14090]	Time 0.779 (0.756)	Data 0.001 (0.001)	Loss 3.1960 (3.0171)	Prec@1 28.906 (29.904)	Prec@5 57.812 (59.351)
Epoch: [2][5190/14090]	Time 0.748 (0.756)	Data 0.001 (0.001)	Loss 2.9500 (3.0170)	Prec@1 32.031 (29.907)	Prec@5 56.250 (59.353)
Epoch: [2][5200/14090]	Time 0.738 (0.756)	Data 0.001 (0.001)	Loss 2.9789 (3.0169)	Prec@1 28.906 (29.907)	Prec@5 57.812 (59.355)
Epoch: [2][5210/14090]	Time 0.760 (0.756)	Data 0.001 (0.001)	Loss 2.9284 (3.0170)	Prec@1 37.500 (29.909)	Prec@5 64.062 (59.355)
Epoch: [2][5220/14090]	Time 0.739 (0.756)	Data 0.001 (0.001)	Loss 2.9515 (3.0169)	Prec@1 29.688 (29.907)	Prec@5 57.812 (59.355)
Epoch: [2][5230/14090]	Time 0.744 (0.756)	Data 0.001 (0.001)	Loss 3.0996 (3.0170)	Prec@1 24.219 (29.906)	Prec@5 53.125 (59.353)
Epoch: [2][5240/14090]	Time 0.744 (0.756)	Data 0.001 (0.001)	Loss 2.9269 (3.0169)	Prec@1 28.906 (29.908)	Prec@5 67.188 (59.355)
Epoch: [2][5250/14090]	Time 0.773 (0.756)	Data 0.001 (0.001)	Loss 3.0725 (3.0170)	Prec@1 22.656 (29.907)	Prec@5 57.031 (59.356)
Epoch: [2][5260/14090]	Time 0.755 (0.756)	Data 0.001 (0.001)	Loss 2.9498 (3.0168)	Prec@1 34.375 (29.910)	Prec@5 65.625 (59.359)
Epoch: [2][5270/14090]	Time 0.740 (0.756)	Data 0.001 (0.001)	Loss 3.1620 (3.0169)	Prec@1 28.125 (29.908)	Prec@5 56.250 (59.356)
Epoch: [2][5280/14090]	Time 0.746 (0.756)	Data 0.001 (0.001)	Loss 2.7730 (3.0169)	Prec@1 34.375 (29.903)	Prec@5 61.719 (59.355)
Epoch: [2][5290/14090]	Time 0.754 (0.756)	Data 0.001 (0.001)	Loss 3.2302 (3.0169)	Prec@1 34.375 (29.905)	Prec@5 53.906 (59.355)
Epoch: [2][5300/14090]	Time 0.768 (0.756)	Data 0.001 (0.001)	Loss 2.9562 (3.0170)	Prec@1 21.875 (29.901)	Prec@5 62.500 (59.353)
Epoch: [2][5310/14090]	Time 0.774 (0.756)	Data 0.001 (0.001)	Loss 2.8389 (3.0169)	Prec@1 32.812 (29.901)	Prec@5 64.062 (59.352)
Epoch: [2][5320/14090]	Time 0.761 (0.756)	Data 0.001 (0.001)	Loss 3.0139 (3.0168)	Prec@1 30.469 (29.898)	Prec@5 57.031 (59.354)
Epoch: [2][5330/14090]	Time 0.756 (0.756)	Data 0.001 (0.001)	Loss 2.9578 (3.0168)	Prec@1 28.906 (29.894)	Prec@5 62.500 (59.358)
Epoch: [2][5340/14090]	Time 0.726 (0.756)	Data 0.001 (0.001)	Loss 2.8738 (3.0166)	Prec@1 34.375 (29.897)	Prec@5 61.719 (59.360)
Epoch: [2][5350/14090]	Time 0.757 (0.756)	Data 0.001 (0.001)	Loss 2.9089 (3.0167)	Prec@1 30.469 (29.894)	Prec@5 60.938 (59.360)
Epoch: [2][5360/14090]	Time 0.756 (0.756)	Data 0.001 (0.001)	Loss 3.2532 (3.0168)	Prec@1 25.000 (29.892)	Prec@5 53.906 (59.358)
Epoch: [2][5370/14090]	Time 0.739 (0.756)	Data 0.001 (0.001)	Loss 2.7754 (3.0167)	Prec@1 33.594 (29.892)	Prec@5 66.406 (59.360)
Epoch: [2][5380/14090]	Time 0.756 (0.756)	Data 0.001 (0.001)	Loss 2.8435 (3.0167)	Prec@1 39.062 (29.894)	Prec@5 59.375 (59.359)
Epoch: [2][5390/14090]	Time 0.744 (0.756)	Data 0.001 (0.001)	Loss 3.0354 (3.0168)	Prec@1 29.688 (29.892)	Prec@5 54.688 (59.358)
Epoch: [2][5400/14090]	Time 0.791 (0.756)	Data 0.001 (0.001)	Loss 2.9214 (3.0171)	Prec@1 35.156 (29.890)	Prec@5 61.719 (59.354)
Epoch: [2][5410/14090]	Time 0.742 (0.756)	Data 0.001 (0.001)	Loss 3.1853 (3.0169)	Prec@1 29.688 (29.895)	Prec@5 57.031 (59.360)
Epoch: [2][5420/14090]	Time 0.778 (0.756)	Data 0.001 (0.001)	Loss 2.9524 (3.0169)	Prec@1 30.469 (29.894)	Prec@5 59.375 (59.361)
Epoch: [2][5430/14090]	Time 0.768 (0.756)	Data 0.001 (0.001)	Loss 3.1720 (3.0169)	Prec@1 28.125 (29.893)	Prec@5 53.906 (59.359)
Epoch: [2][5440/14090]	Time 0.760 (0.756)	Data 0.001 (0.001)	Loss 2.9316 (3.0168)	Prec@1 32.031 (29.894)	Prec@5 59.375 (59.360)
Epoch: [2][5450/14090]	Time 0.758 (0.756)	Data 0.001 (0.001)	Loss 3.1811 (3.0168)	Prec@1 28.906 (29.893)	Prec@5 57.031 (59.360)
Epoch: [2][5460/14090]	Time 0.756 (0.756)	Data 0.001 (0.001)	Loss 2.9314 (3.0167)	Prec@1 32.812 (29.896)	Prec@5 63.281 (59.360)
Epoch: [2][5470/14090]	Time 0.875 (0.756)	Data 0.001 (0.001)	Loss 3.0792 (3.0167)	Prec@1 27.344 (29.895)	Prec@5 58.594 (59.362)
Epoch: [2][5480/14090]	Time 0.743 (0.756)	Data 0.001 (0.001)	Loss 3.0586 (3.0169)	Prec@1 29.688 (29.895)	Prec@5 57.812 (59.360)
Epoch: [2][5490/14090]	Time 0.738 (0.756)	Data 0.001 (0.001)	Loss 3.1922 (3.0170)	Prec@1 27.344 (29.892)	Prec@5 55.469 (59.357)
Epoch: [2][5500/14090]	Time 0.728 (0.756)	Data 0.001 (0.001)	Loss 2.7021 (3.0168)	Prec@1 28.125 (29.893)	Prec@5 69.531 (59.362)
Epoch: [2][5510/14090]	Time 0.744 (0.756)	Data 0.001 (0.001)	Loss 2.9444 (3.0169)	Prec@1 32.031 (29.892)	Prec@5 57.031 (59.360)
Epoch: [2][5520/14090]	Time 0.756 (0.756)	Data 0.001 (0.001)	Loss 3.0058 (3.0169)	Prec@1 24.219 (29.892)	Prec@5 58.594 (59.361)
Epoch: [2][5530/14090]	Time 0.756 (0.756)	Data 0.001 (0.001)	Loss 2.9428 (3.0170)	Prec@1 28.125 (29.892)	Prec@5 60.938 (59.361)
Epoch: [2][5540/14090]	Time 0.846 (0.756)	Data 0.001 (0.001)	Loss 2.7793 (3.0169)	Prec@1 28.906 (29.890)	Prec@5 64.844 (59.361)
Epoch: [2][5550/14090]	Time 0.781 (0.756)	Data 0.001 (0.001)	Loss 2.9837 (3.0169)	Prec@1 32.812 (29.890)	Prec@5 60.938 (59.362)
Epoch: [2][5560/14090]	Time 0.745 (0.756)	Data 0.001 (0.001)	Loss 2.9293 (3.0170)	Prec@1 24.219 (29.888)	Prec@5 60.156 (59.360)
Epoch: [2][5570/14090]	Time 0.754 (0.756)	Data 0.001 (0.001)	Loss 2.9854 (3.0167)	Prec@1 28.906 (29.890)	Prec@5 60.938 (59.366)
Epoch: [2][5580/14090]	Time 0.742 (0.756)	Data 0.001 (0.001)	Loss 3.0707 (3.0166)	Prec@1 25.000 (29.888)	Prec@5 58.594 (59.367)
Epoch: [2][5590/14090]	Time 0.751 (0.756)	Data 0.001 (0.001)	Loss 3.1348 (3.0166)	Prec@1 31.250 (29.888)	Prec@5 57.812 (59.367)
Epoch: [2][5600/14090]	Time 0.749 (0.756)	Data 0.001 (0.001)	Loss 3.0115 (3.0166)	Prec@1 30.469 (29.888)	Prec@5 65.625 (59.366)
Epoch: [2][5610/14090]	Time 0.783 (0.756)	Data 0.001 (0.001)	Loss 2.6863 (3.0165)	Prec@1 37.500 (29.890)	Prec@5 62.500 (59.367)
Epoch: [2][5620/14090]	Time 0.765 (0.756)	Data 0.001 (0.001)	Loss 3.4342 (3.0164)	Prec@1 20.312 (29.893)	Prec@5 49.219 (59.369)
Epoch: [2][5630/14090]	Time 0.757 (0.756)	Data 0.001 (0.001)	Loss 3.1039 (3.0163)	Prec@1 32.031 (29.895)	Prec@5 57.031 (59.373)
Epoch: [2][5640/14090]	Time 0.751 (0.756)	Data 0.001 (0.001)	Loss 2.7546 (3.0162)	Prec@1 35.156 (29.897)	Prec@5 64.062 (59.374)
Epoch: [2][5650/14090]	Time 0.754 (0.756)	Data 0.001 (0.001)	Loss 2.9897 (3.0162)	Prec@1 29.688 (29.895)	Prec@5 54.688 (59.374)
Epoch: [2][5660/14090]	Time 0.753 (0.756)	Data 0.001 (0.001)	Loss 2.8763 (3.0162)	Prec@1 28.906 (29.895)	Prec@5 57.812 (59.373)
Epoch: [2][5670/14090]	Time 0.730 (0.756)	Data 0.001 (0.001)	Loss 3.2015 (3.0162)	Prec@1 29.688 (29.892)	Prec@5 53.125 (59.369)
Epoch: [2][5680/14090]	Time 0.742 (0.756)	Data 0.001 (0.001)	Loss 3.0724 (3.0164)	Prec@1 25.781 (29.888)	Prec@5 52.344 (59.365)
Epoch: [2][5690/14090]	Time 0.763 (0.756)	Data 0.001 (0.001)	Loss 2.8979 (3.0163)	Prec@1 34.375 (29.886)	Prec@5 58.594 (59.364)
Epoch: [2][5700/14090]	Time 0.765 (0.756)	Data 0.001 (0.001)	Loss 3.1653 (3.0165)	Prec@1 24.219 (29.882)	Prec@5 57.812 (59.361)
Epoch: [2][5710/14090]	Time 0.752 (0.756)	Data 0.001 (0.001)	Loss 2.9429 (3.0162)	Prec@1 28.125 (29.887)	Prec@5 60.156 (59.365)
Epoch: [2][5720/14090]	Time 0.760 (0.756)	Data 0.001 (0.001)	Loss 2.9684 (3.0162)	Prec@1 35.156 (29.888)	Prec@5 59.375 (59.367)
Epoch: [2][5730/14090]	Time 0.727 (0.756)	Data 0.001 (0.001)	Loss 3.0662 (3.0163)	Prec@1 28.125 (29.887)	Prec@5 57.812 (59.365)
Epoch: [2][5740/14090]	Time 0.737 (0.756)	Data 0.001 (0.001)	Loss 3.0946 (3.0163)	Prec@1 27.344 (29.888)	Prec@5 59.375 (59.367)
Epoch: [2][5750/14090]	Time 0.750 (0.756)	Data 0.001 (0.001)	Loss 2.9692 (3.0161)	Prec@1 30.469 (29.892)	Prec@5 57.031 (59.370)
Epoch: [2][5760/14090]	Time 0.731 (0.756)	Data 0.001 (0.001)	Loss 3.0847 (3.0161)	Prec@1 27.344 (29.893)	Prec@5 57.031 (59.370)
Epoch: [2][5770/14090]	Time 0.772 (0.756)	Data 0.001 (0.001)	Loss 2.9779 (3.0160)	Prec@1 32.031 (29.892)	Prec@5 58.594 (59.373)
Epoch: [2][5780/14090]	Time 0.731 (0.756)	Data 0.001 (0.001)	Loss 3.0952 (3.0159)	Prec@1 27.344 (29.894)	Prec@5 60.938 (59.377)
Epoch: [2][5790/14090]	Time 0.762 (0.756)	Data 0.001 (0.001)	Loss 3.0853 (3.0159)	Prec@1 29.688 (29.896)	Prec@5 58.594 (59.376)
Epoch: [2][5800/14090]	Time 0.768 (0.756)	Data 0.001 (0.001)	Loss 2.9938 (3.0159)	Prec@1 32.812 (29.895)	Prec@5 60.938 (59.374)
Epoch: [2][5810/14090]	Time 0.769 (0.756)	Data 0.001 (0.001)	Loss 2.9079 (3.0158)	Prec@1 28.125 (29.895)	Prec@5 62.500 (59.377)
Epoch: [2][5820/14090]	Time 0.866 (0.756)	Data 0.001 (0.001)	Loss 3.1158 (3.0159)	Prec@1 26.562 (29.893)	Prec@5 57.812 (59.375)
Epoch: [2][5830/14090]	Time 0.755 (0.756)	Data 0.001 (0.001)	Loss 3.1296 (3.0159)	Prec@1 25.781 (29.890)	Prec@5 58.594 (59.374)
Epoch: [2][5840/14090]	Time 0.752 (0.756)	Data 0.001 (0.001)	Loss 2.8769 (3.0159)	Prec@1 28.906 (29.891)	Prec@5 64.062 (59.374)
Epoch: [2][5850/14090]	Time 0.742 (0.756)	Data 0.001 (0.001)	Loss 2.8973 (3.0157)	Prec@1 33.594 (29.895)	Prec@5 59.375 (59.376)
Epoch: [2][5860/14090]	Time 0.789 (0.756)	Data 0.001 (0.001)	Loss 2.9808 (3.0156)	Prec@1 27.344 (29.894)	Prec@5 57.812 (59.374)
Epoch: [2][5870/14090]	Time 0.740 (0.756)	Data 0.001 (0.001)	Loss 3.2126 (3.0158)	Prec@1 28.125 (29.889)	Prec@5 56.250 (59.372)
Epoch: [2][5880/14090]	Time 0.747 (0.756)	Data 0.001 (0.001)	Loss 3.3154 (3.0159)	Prec@1 22.656 (29.888)	Prec@5 52.344 (59.367)
Epoch: [2][5890/14090]	Time 0.754 (0.756)	Data 0.001 (0.001)	Loss 2.9582 (3.0158)	Prec@1 27.344 (29.891)	Prec@5 56.250 (59.369)
Epoch: [2][5900/14090]	Time 0.763 (0.756)	Data 0.001 (0.001)	Loss 2.8309 (3.0157)	Prec@1 32.812 (29.894)	Prec@5 67.969 (59.372)
Epoch: [2][5910/14090]	Time 0.757 (0.756)	Data 0.001 (0.001)	Loss 3.0003 (3.0157)	Prec@1 32.812 (29.893)	Prec@5 53.906 (59.371)
Epoch: [2][5920/14090]	Time 0.742 (0.756)	Data 0.001 (0.001)	Loss 2.8288 (3.0158)	Prec@1 32.812 (29.891)	Prec@5 62.500 (59.367)
Epoch: [2][5930/14090]	Time 0.762 (0.756)	Data 0.001 (0.001)	Loss 3.1450 (3.0158)	Prec@1 26.562 (29.891)	Prec@5 59.375 (59.368)
Epoch: [2][5940/14090]	Time 0.802 (0.756)	Data 0.001 (0.001)	Loss 2.9215 (3.0158)	Prec@1 30.469 (29.895)	Prec@5 60.938 (59.370)
Epoch: [2][5950/14090]	Time 0.770 (0.756)	Data 0.001 (0.001)	Loss 2.7682 (3.0157)	Prec@1 28.906 (29.892)	Prec@5 66.406 (59.372)
Epoch: [2][5960/14090]	Time 0.745 (0.756)	Data 0.001 (0.001)	Loss 2.8096 (3.0156)	Prec@1 34.375 (29.895)	Prec@5 68.750 (59.377)
Epoch: [2][5970/14090]	Time 0.756 (0.756)	Data 0.001 (0.001)	Loss 2.9321 (3.0154)	Prec@1 33.594 (29.902)	Prec@5 60.938 (59.381)
Epoch: [2][5980/14090]	Time 0.744 (0.756)	Data 0.001 (0.001)	Loss 2.9176 (3.0153)	Prec@1 29.688 (29.904)	Prec@5 64.062 (59.384)
Epoch: [2][5990/14090]	Time 0.753 (0.756)	Data 0.001 (0.001)	Loss 2.9559 (3.0153)	Prec@1 32.812 (29.902)	Prec@5 64.062 (59.384)
Epoch: [2][6000/14090]	Time 0.753 (0.756)	Data 0.001 (0.001)	Loss 2.8702 (3.0153)	Prec@1 28.906 (29.900)	Prec@5 62.500 (59.383)
Epoch: [2][6010/14090]	Time 0.762 (0.756)	Data 0.001 (0.001)	Loss 3.1674 (3.0154)	Prec@1 28.125 (29.900)	Prec@5 57.812 (59.381)
Epoch: [2][6020/14090]	Time 0.758 (0.756)	Data 0.001 (0.001)	Loss 3.1456 (3.0154)	Prec@1 22.656 (29.898)	Prec@5 59.375 (59.381)
Epoch: [2][6030/14090]	Time 0.747 (0.756)	Data 0.001 (0.001)	Loss 2.6869 (3.0152)	Prec@1 32.812 (29.901)	Prec@5 72.656 (59.383)
Epoch: [2][6040/14090]	Time 0.729 (0.756)	Data 0.001 (0.001)	Loss 2.6794 (3.0151)	Prec@1 39.062 (29.905)	Prec@5 68.750 (59.385)
Epoch: [2][6050/14090]	Time 0.762 (0.756)	Data 0.001 (0.001)	Loss 2.9133 (3.0153)	Prec@1 28.906 (29.904)	Prec@5 57.031 (59.380)
Epoch: [2][6060/14090]	Time 0.753 (0.756)	Data 0.001 (0.001)	Loss 3.0208 (3.0154)	Prec@1 29.688 (29.906)	Prec@5 59.375 (59.380)
Epoch: [2][6070/14090]	Time 0.739 (0.756)	Data 0.001 (0.001)	Loss 2.9358 (3.0154)	Prec@1 35.156 (29.905)	Prec@5 57.031 (59.378)
Epoch: [2][6080/14090]	Time 0.773 (0.756)	Data 0.001 (0.001)	Loss 2.8663 (3.0153)	Prec@1 30.469 (29.905)	Prec@5 64.062 (59.379)
Epoch: [2][6090/14090]	Time 0.751 (0.756)	Data 0.001 (0.001)	Loss 3.0262 (3.0154)	Prec@1 32.031 (29.904)	Prec@5 57.812 (59.376)
Epoch: [2][6100/14090]	Time 0.738 (0.756)	Data 0.001 (0.001)	Loss 3.0754 (3.0153)	Prec@1 25.781 (29.907)	Prec@5 55.469 (59.375)
Epoch: [2][6110/14090]	Time 0.784 (0.756)	Data 0.001 (0.001)	Loss 3.0615 (3.0153)	Prec@1 22.656 (29.906)	Prec@5 59.375 (59.376)
Epoch: [2][6120/14090]	Time 0.725 (0.756)	Data 0.001 (0.001)	Loss 2.9449 (3.0153)	Prec@1 31.250 (29.909)	Prec@5 58.594 (59.375)
Epoch: [2][6130/14090]	Time 0.755 (0.756)	Data 0.001 (0.001)	Loss 2.8597 (3.0153)	Prec@1 32.812 (29.911)	Prec@5 67.188 (59.379)
Epoch: [2][6140/14090]	Time 0.737 (0.756)	Data 0.001 (0.001)	Loss 2.9371 (3.0152)	Prec@1 25.781 (29.913)	Prec@5 64.062 (59.382)
Epoch: [2][6150/14090]	Time 0.781 (0.756)	Data 0.001 (0.001)	Loss 3.4053 (3.0152)	Prec@1 17.969 (29.910)	Prec@5 47.656 (59.381)
Epoch: [2][6160/14090]	Time 0.724 (0.756)	Data 0.001 (0.001)	Loss 3.2109 (3.0150)	Prec@1 28.906 (29.912)	Prec@5 55.469 (59.386)
Epoch: [2][6170/14090]	Time 0.742 (0.756)	Data 0.001 (0.001)	Loss 2.8856 (3.0150)	Prec@1 31.250 (29.912)	Prec@5 60.156 (59.385)
Epoch: [2][6180/14090]	Time 0.756 (0.756)	Data 0.001 (0.001)	Loss 2.8852 (3.0148)	Prec@1 32.812 (29.914)	Prec@5 64.062 (59.390)
Epoch: [2][6190/14090]	Time 0.728 (0.756)	Data 0.001 (0.001)	Loss 2.8524 (3.0147)	Prec@1 36.719 (29.918)	Prec@5 60.156 (59.392)
Epoch: [2][6200/14090]	Time 0.738 (0.756)	Data 0.001 (0.001)	Loss 3.1252 (3.0146)	Prec@1 30.469 (29.918)	Prec@5 59.375 (59.392)
Epoch: [2][6210/14090]	Time 0.770 (0.756)	Data 0.001 (0.001)	Loss 3.0788 (3.0148)	Prec@1 27.344 (29.916)	Prec@5 56.250 (59.389)
Epoch: [2][6220/14090]	Time 0.753 (0.756)	Data 0.001 (0.001)	Loss 3.1109 (3.0148)	Prec@1 25.781 (29.914)	Prec@5 57.812 (59.385)
Epoch: [2][6230/14090]	Time 0.732 (0.756)	Data 0.001 (0.001)	Loss 3.1207 (3.0148)	Prec@1 30.469 (29.914)	Prec@5 56.250 (59.387)
Epoch: [2][6240/14090]	Time 0.858 (0.756)	Data 0.001 (0.001)	Loss 2.8668 (3.0146)	Prec@1 35.156 (29.917)	Prec@5 60.156 (59.390)
Epoch: [2][6250/14090]	Time 0.765 (0.756)	Data 0.001 (0.001)	Loss 3.4947 (3.0146)	Prec@1 20.312 (29.919)	Prec@5 47.656 (59.391)
Epoch: [2][6260/14090]	Time 0.765 (0.756)	Data 0.001 (0.001)	Loss 3.0344 (3.0146)	Prec@1 33.594 (29.920)	Prec@5 55.469 (59.390)
Epoch: [2][6270/14090]	Time 0.757 (0.756)	Data 0.001 (0.001)	Loss 2.9291 (3.0147)	Prec@1 32.031 (29.919)	Prec@5 61.719 (59.388)
Epoch: [2][6280/14090]	Time 0.747 (0.756)	Data 0.001 (0.001)	Loss 3.2600 (3.0147)	Prec@1 29.688 (29.918)	Prec@5 59.375 (59.392)
Epoch: [2][6290/14090]	Time 0.775 (0.756)	Data 0.001 (0.001)	Loss 2.8771 (3.0146)	Prec@1 29.688 (29.922)	Prec@5 58.594 (59.396)
Epoch: [2][6300/14090]	Time 0.782 (0.756)	Data 0.001 (0.001)	Loss 3.0198 (3.0144)	Prec@1 32.031 (29.924)	Prec@5 64.062 (59.399)
Epoch: [2][6310/14090]	Time 0.757 (0.756)	Data 0.001 (0.001)	Loss 2.9461 (3.0143)	Prec@1 27.344 (29.926)	Prec@5 57.812 (59.401)
Epoch: [2][6320/14090]	Time 0.762 (0.756)	Data 0.001 (0.001)	Loss 3.1045 (3.0143)	Prec@1 26.562 (29.927)	Prec@5 57.812 (59.401)
Epoch: [2][6330/14090]	Time 0.770 (0.756)	Data 0.001 (0.001)	Loss 2.8382 (3.0143)	Prec@1 28.906 (29.929)	Prec@5 59.375 (59.399)
Epoch: [2][6340/14090]	Time 0.748 (0.756)	Data 0.001 (0.001)	Loss 3.2180 (3.0143)	Prec@1 28.125 (29.928)	Prec@5 55.469 (59.398)
Epoch: [2][6350/14090]	Time 0.784 (0.756)	Data 0.001 (0.001)	Loss 2.8830 (3.0144)	Prec@1 32.812 (29.925)	Prec@5 58.594 (59.396)
Epoch: [2][6360/14090]	Time 0.746 (0.756)	Data 0.001 (0.001)	Loss 2.8560 (3.0144)	Prec@1 32.812 (29.924)	Prec@5 64.844 (59.397)
Epoch: [2][6370/14090]	Time 0.749 (0.756)	Data 0.001 (0.001)	Loss 2.9829 (3.0144)	Prec@1 31.250 (29.924)	Prec@5 57.812 (59.396)
Epoch: [2][6380/14090]	Time 0.770 (0.756)	Data 0.002 (0.001)	Loss 3.0129 (3.0143)	Prec@1 35.938 (29.927)	Prec@5 58.594 (59.399)
Epoch: [2][6390/14090]	Time 0.752 (0.756)	Data 0.001 (0.001)	Loss 2.9720 (3.0141)	Prec@1 29.688 (29.932)	Prec@5 62.500 (59.403)
Epoch: [2][6400/14090]	Time 0.775 (0.756)	Data 0.001 (0.001)	Loss 2.9417 (3.0140)	Prec@1 28.906 (29.934)	Prec@5 61.719 (59.405)
Epoch: [2][6410/14090]	Time 0.762 (0.756)	Data 0.001 (0.001)	Loss 2.8664 (3.0139)	Prec@1 35.156 (29.938)	Prec@5 57.031 (59.408)
Epoch: [2][6420/14090]	Time 0.746 (0.756)	Data 0.001 (0.001)	Loss 3.2008 (3.0138)	Prec@1 28.906 (29.938)	Prec@5 52.344 (59.410)
Epoch: [2][6430/14090]	Time 0.756 (0.756)	Data 0.001 (0.001)	Loss 3.1567 (3.0139)	Prec@1 28.906 (29.936)	Prec@5 58.594 (59.408)
Epoch: [2][6440/14090]	Time 0.767 (0.756)	Data 0.001 (0.001)	Loss 3.0812 (3.0139)	Prec@1 31.250 (29.935)	Prec@5 55.469 (59.408)
Epoch: [2][6450/14090]	Time 0.741 (0.756)	Data 0.001 (0.001)	Loss 2.8733 (3.0139)	Prec@1 28.125 (29.932)	Prec@5 64.062 (59.407)
Epoch: [2][6460/14090]	Time 0.758 (0.756)	Data 0.001 (0.001)	Loss 3.0923 (3.0138)	Prec@1 32.031 (29.934)	Prec@5 58.594 (59.406)
Epoch: [2][6470/14090]	Time 0.730 (0.756)	Data 0.001 (0.001)	Loss 3.0680 (3.0139)	Prec@1 28.906 (29.935)	Prec@5 59.375 (59.403)
Epoch: [2][6480/14090]	Time 0.781 (0.756)	Data 0.001 (0.001)	Loss 2.5676 (3.0138)	Prec@1 35.156 (29.938)	Prec@5 72.656 (59.406)
Epoch: [2][6490/14090]	Time 0.759 (0.756)	Data 0.001 (0.001)	Loss 2.9782 (3.0136)	Prec@1 28.125 (29.941)	Prec@5 57.812 (59.407)
Epoch: [2][6500/14090]	Time 0.749 (0.756)	Data 0.001 (0.001)	Loss 2.9224 (3.0135)	Prec@1 30.469 (29.945)	Prec@5 56.250 (59.408)
Epoch: [2][6510/14090]	Time 0.776 (0.756)	Data 0.001 (0.001)	Loss 2.8687 (3.0135)	Prec@1 34.375 (29.945)	Prec@5 64.062 (59.408)
Epoch: [2][6520/14090]	Time 0.746 (0.756)	Data 0.001 (0.001)	Loss 2.9904 (3.0134)	Prec@1 28.125 (29.946)	Prec@5 58.594 (59.411)
Epoch: [2][6530/14090]	Time 0.757 (0.756)	Data 0.001 (0.001)	Loss 3.3784 (3.0134)	Prec@1 29.688 (29.947)	Prec@5 51.562 (59.410)
Epoch: [2][6540/14090]	Time 0.759 (0.756)	Data 0.001 (0.001)	Loss 2.9036 (3.0132)	Prec@1 27.344 (29.949)	Prec@5 58.594 (59.413)
Epoch: [2][6550/14090]	Time 0.741 (0.756)	Data 0.001 (0.001)	Loss 2.8653 (3.0132)	Prec@1 29.688 (29.949)	Prec@5 59.375 (59.412)
Epoch: [2][6560/14090]	Time 0.739 (0.756)	Data 0.001 (0.001)	Loss 2.9692 (3.0134)	Prec@1 28.906 (29.944)	Prec@5 64.062 (59.411)
Epoch: [2][6570/14090]	Time 0.751 (0.756)	Data 0.001 (0.001)	Loss 2.8641 (3.0133)	Prec@1 30.469 (29.945)	Prec@5 63.281 (59.414)
Epoch: [2][6580/14090]	Time 0.747 (0.756)	Data 0.001 (0.001)	Loss 3.0404 (3.0132)	Prec@1 26.562 (29.944)	Prec@5 60.938 (59.414)
Epoch: [2][6590/14090]	Time 0.751 (0.756)	Data 0.001 (0.001)	Loss 2.9304 (3.0133)	Prec@1 30.469 (29.943)	Prec@5 64.844 (59.413)
Epoch: [2][6600/14090]	Time 0.745 (0.756)	Data 0.001 (0.001)	Loss 3.1439 (3.0133)	Prec@1 25.781 (29.942)	Prec@5 55.469 (59.413)
Epoch: [2][6610/14090]	Time 0.749 (0.756)	Data 0.001 (0.001)	Loss 3.0469 (3.0133)	Prec@1 26.562 (29.942)	Prec@5 64.062 (59.411)
Epoch: [2][6620/14090]	Time 0.736 (0.756)	Data 0.001 (0.001)	Loss 3.1554 (3.0131)	Prec@1 33.594 (29.947)	Prec@5 56.250 (59.415)
Epoch: [2][6630/14090]	Time 0.734 (0.756)	Data 0.001 (0.001)	Loss 2.8163 (3.0130)	Prec@1 32.812 (29.949)	Prec@5 64.844 (59.419)
Epoch: [2][6640/14090]	Time 0.739 (0.756)	Data 0.001 (0.001)	Loss 2.6494 (3.0129)	Prec@1 35.156 (29.951)	Prec@5 68.750 (59.422)
Epoch: [2][6650/14090]	Time 0.737 (0.756)	Data 0.001 (0.001)	Loss 2.9319 (3.0128)	Prec@1 29.688 (29.954)	Prec@5 57.031 (59.424)
Epoch: [2][6660/14090]	Time 0.764 (0.756)	Data 0.001 (0.001)	Loss 3.3365 (3.0128)	Prec@1 28.906 (29.955)	Prec@5 53.906 (59.424)
Epoch: [2][6670/14090]	Time 0.770 (0.756)	Data 0.001 (0.001)	Loss 2.8686 (3.0129)	Prec@1 32.812 (29.955)	Prec@5 62.500 (59.424)
Epoch: [2][6680/14090]	Time 0.763 (0.756)	Data 0.001 (0.001)	Loss 2.9388 (3.0128)	Prec@1 31.250 (29.955)	Prec@5 59.375 (59.423)
Epoch: [2][6690/14090]	Time 0.774 (0.756)	Data 0.001 (0.001)	Loss 2.9918 (3.0129)	Prec@1 27.344 (29.952)	Prec@5 60.938 (59.421)
Epoch: [2][6700/14090]	Time 0.747 (0.756)	Data 0.001 (0.001)	Loss 3.3282 (3.0128)	Prec@1 21.094 (29.953)	Prec@5 51.562 (59.420)
Epoch: [2][6710/14090]	Time 0.751 (0.756)	Data 0.001 (0.001)	Loss 3.1788 (3.0128)	Prec@1 28.906 (29.953)	Prec@5 53.906 (59.422)
Epoch: [2][6720/14090]	Time 0.732 (0.756)	Data 0.001 (0.001)	Loss 2.9220 (3.0129)	Prec@1 32.031 (29.951)	Prec@5 58.594 (59.420)
Epoch: [2][6730/14090]	Time 0.745 (0.756)	Data 0.001 (0.001)	Loss 2.9048 (3.0129)	Prec@1 33.594 (29.951)	Prec@5 62.500 (59.420)
Epoch: [2][6740/14090]	Time 0.736 (0.756)	Data 0.001 (0.001)	Loss 2.9813 (3.0128)	Prec@1 29.688 (29.953)	Prec@5 60.938 (59.423)
Epoch: [2][6750/14090]	Time 0.746 (0.756)	Data 0.001 (0.001)	Loss 2.9581 (3.0128)	Prec@1 31.250 (29.954)	Prec@5 57.812 (59.421)
Epoch: [2][6760/14090]	Time 0.732 (0.756)	Data 0.001 (0.001)	Loss 2.9406 (3.0128)	Prec@1 28.906 (29.955)	Prec@5 63.281 (59.422)
Epoch: [2][6770/14090]	Time 0.765 (0.756)	Data 0.001 (0.001)	Loss 2.8600 (3.0128)	Prec@1 32.812 (29.954)	Prec@5 67.188 (59.421)
Epoch: [2][6780/14090]	Time 0.785 (0.756)	Data 0.001 (0.001)	Loss 3.1886 (3.0128)	Prec@1 25.781 (29.953)	Prec@5 55.469 (59.419)
Epoch: [2][6790/14090]	Time 0.755 (0.756)	Data 0.001 (0.001)	Loss 2.7700 (3.0128)	Prec@1 32.031 (29.952)	Prec@5 60.938 (59.419)
Epoch: [2][6800/14090]	Time 0.728 (0.756)	Data 0.001 (0.001)	Loss 3.1840 (3.0129)	Prec@1 28.125 (29.949)	Prec@5 56.250 (59.418)
Epoch: [2][6810/14090]	Time 0.751 (0.756)	Data 0.001 (0.001)	Loss 3.0587 (3.0128)	Prec@1 23.438 (29.951)	Prec@5 58.594 (59.419)
Epoch: [2][6820/14090]	Time 0.743 (0.756)	Data 0.001 (0.001)	Loss 2.8605 (3.0126)	Prec@1 37.500 (29.954)	Prec@5 66.406 (59.422)
Epoch: [2][6830/14090]	Time 0.748 (0.756)	Data 0.001 (0.001)	Loss 3.2393 (3.0127)	Prec@1 25.000 (29.952)	Prec@5 55.469 (59.422)
Epoch: [2][6840/14090]	Time 0.740 (0.756)	Data 0.001 (0.001)	Loss 3.0423 (3.0127)	Prec@1 28.125 (29.951)	Prec@5 66.406 (59.425)
Epoch: [2][6850/14090]	Time 0.747 (0.756)	Data 0.001 (0.001)	Loss 2.9026 (3.0127)	Prec@1 32.812 (29.953)	Prec@5 67.188 (59.426)
Epoch: [2][6860/14090]	Time 0.763 (0.756)	Data 0.001 (0.001)	Loss 2.8424 (3.0127)	Prec@1 34.375 (29.953)	Prec@5 67.188 (59.429)
Epoch: [2][6870/14090]	Time 0.721 (0.756)	Data 0.001 (0.001)	Loss 3.1031 (3.0126)	Prec@1 28.125 (29.954)	Prec@5 62.500 (59.432)
Epoch: [2][6880/14090]	Time 0.771 (0.756)	Data 0.001 (0.001)	Loss 2.7913 (3.0126)	Prec@1 34.375 (29.957)	Prec@5 62.500 (59.431)
Epoch: [2][6890/14090]	Time 0.787 (0.756)	Data 0.001 (0.001)	Loss 3.2177 (3.0127)	Prec@1 30.469 (29.956)	Prec@5 55.469 (59.428)
Epoch: [2][6900/14090]	Time 0.744 (0.756)	Data 0.001 (0.001)	Loss 2.7526 (3.0124)	Prec@1 32.031 (29.958)	Prec@5 68.750 (59.432)
Epoch: [2][6910/14090]	Time 0.747 (0.756)	Data 0.001 (0.001)	Loss 2.8996 (3.0125)	Prec@1 35.938 (29.957)	Prec@5 59.375 (59.430)
Epoch: [2][6920/14090]	Time 0.748 (0.756)	Data 0.001 (0.001)	Loss 2.9842 (3.0123)	Prec@1 28.906 (29.957)	Prec@5 58.594 (59.432)
Epoch: [2][6930/14090]	Time 0.772 (0.756)	Data 0.001 (0.001)	Loss 3.2045 (3.0122)	Prec@1 29.688 (29.959)	Prec@5 59.375 (59.436)
Epoch: [2][6940/14090]	Time 0.768 (0.756)	Data 0.001 (0.001)	Loss 2.8352 (3.0122)	Prec@1 34.375 (29.960)	Prec@5 62.500 (59.436)
Epoch: [2][6950/14090]	Time 0.744 (0.756)	Data 0.001 (0.001)	Loss 3.0674 (3.0122)	Prec@1 29.688 (29.959)	Prec@5 54.688 (59.435)
Epoch: [2][6960/14090]	Time 0.740 (0.756)	Data 0.001 (0.001)	Loss 3.1561 (3.0122)	Prec@1 29.688 (29.959)	Prec@5 57.812 (59.437)
Epoch: [2][6970/14090]	Time 0.741 (0.756)	Data 0.001 (0.001)	Loss 3.1339 (3.0123)	Prec@1 30.469 (29.958)	Prec@5 59.375 (59.436)
Epoch: [2][6980/14090]	Time 0.769 (0.756)	Data 0.002 (0.001)	Loss 3.0135 (3.0123)	Prec@1 26.562 (29.957)	Prec@5 60.938 (59.435)
Epoch: [2][6990/14090]	Time 0.743 (0.756)	Data 0.001 (0.001)	Loss 3.2408 (3.0122)	Prec@1 28.906 (29.958)	Prec@5 56.250 (59.435)
Epoch: [2][7000/14090]	Time 0.755 (0.756)	Data 0.001 (0.001)	Loss 2.8580 (3.0122)	Prec@1 36.719 (29.958)	Prec@5 60.156 (59.435)
Epoch: [2][7010/14090]	Time 0.776 (0.756)	Data 0.001 (0.001)	Loss 3.1228 (3.0123)	Prec@1 28.125 (29.957)	Prec@5 51.562 (59.435)
Epoch: [2][7020/14090]	Time 0.744 (0.756)	Data 0.001 (0.001)	Loss 2.9086 (3.0122)	Prec@1 36.719 (29.960)	Prec@5 59.375 (59.435)
Epoch: [2][7030/14090]	Time 0.739 (0.756)	Data 0.001 (0.001)	Loss 2.7896 (3.0120)	Prec@1 31.250 (29.962)	Prec@5 61.719 (59.440)
Epoch: [2][7040/14090]	Time 0.766 (0.756)	Data 0.001 (0.001)	Loss 2.8654 (3.0119)	Prec@1 29.688 (29.965)	Prec@5 59.375 (59.443)
Epoch: [2][7050/14090]	Time 0.759 (0.756)	Data 0.001 (0.001)	Loss 2.8764 (3.0119)	Prec@1 34.375 (29.965)	Prec@5 64.062 (59.442)
Epoch: [2][7060/14090]	Time 0.740 (0.756)	Data 0.001 (0.001)	Loss 2.9698 (3.0119)	Prec@1 27.344 (29.965)	Prec@5 59.375 (59.443)
Epoch: [2][7070/14090]	Time 0.770 (0.756)	Data 0.001 (0.001)	Loss 2.9849 (3.0118)	Prec@1 26.562 (29.965)	Prec@5 60.938 (59.445)
Epoch: [2][7080/14090]	Time 0.722 (0.756)	Data 0.001 (0.001)	Loss 2.8224 (3.0117)	Prec@1 39.062 (29.966)	Prec@5 62.500 (59.445)
Epoch: [2][7090/14090]	Time 0.741 (0.756)	Data 0.001 (0.001)	Loss 3.0344 (3.0118)	Prec@1 33.594 (29.967)	Prec@5 59.375 (59.445)
Epoch: [2][7100/14090]	Time 0.749 (0.756)	Data 0.001 (0.001)	Loss 2.9591 (3.0117)	Prec@1 29.688 (29.966)	Prec@5 61.719 (59.446)
Epoch: [2][7110/14090]	Time 0.775 (0.756)	Data 0.001 (0.001)	Loss 3.1623 (3.0117)	Prec@1 26.562 (29.969)	Prec@5 53.125 (59.445)
Epoch: [2][7120/14090]	Time 0.783 (0.756)	Data 0.001 (0.001)	Loss 2.9543 (3.0116)	Prec@1 35.156 (29.973)	Prec@5 64.844 (59.448)
Epoch: [2][7130/14090]	Time 0.762 (0.756)	Data 0.001 (0.001)	Loss 3.1943 (3.0116)	Prec@1 26.562 (29.972)	Prec@5 57.812 (59.447)
Epoch: [2][7140/14090]	Time 0.781 (0.756)	Data 0.001 (0.001)	Loss 3.2008 (3.0116)	Prec@1 29.688 (29.975)	Prec@5 57.031 (59.448)
Epoch: [2][7150/14090]	Time 0.745 (0.756)	Data 0.001 (0.001)	Loss 2.9820 (3.0116)	Prec@1 32.031 (29.972)	Prec@5 60.938 (59.445)
Epoch: [2][7160/14090]	Time 0.754 (0.756)	Data 0.001 (0.001)	Loss 3.0229 (3.0116)	Prec@1 25.000 (29.972)	Prec@5 57.031 (59.446)
Epoch: [2][7170/14090]	Time 0.734 (0.756)	Data 0.001 (0.001)	Loss 2.9050 (3.0116)	Prec@1 33.594 (29.973)	Prec@5 58.594 (59.445)
Epoch: [2][7180/14090]	Time 0.733 (0.756)	Data 0.001 (0.001)	Loss 2.9396 (3.0116)	Prec@1 31.250 (29.973)	Prec@5 59.375 (59.445)
Epoch: [2][7190/14090]	Time 0.754 (0.756)	Data 0.001 (0.001)	Loss 2.9161 (3.0115)	Prec@1 29.688 (29.972)	Prec@5 59.375 (59.447)
Epoch: [2][7200/14090]	Time 0.756 (0.756)	Data 0.001 (0.001)	Loss 2.9219 (3.0116)	Prec@1 32.031 (29.970)	Prec@5 60.938 (59.446)
Epoch: [2][7210/14090]	Time 0.757 (0.756)	Data 0.001 (0.001)	Loss 2.9981 (3.0117)	Prec@1 26.562 (29.968)	Prec@5 58.594 (59.443)
Epoch: [2][7220/14090]	Time 0.725 (0.756)	Data 0.001 (0.001)	Loss 2.8493 (3.0116)	Prec@1 32.812 (29.970)	Prec@5 60.938 (59.445)
Epoch: [2][7230/14090]	Time 0.757 (0.756)	Data 0.001 (0.001)	Loss 2.9321 (3.0116)	Prec@1 35.938 (29.970)	Prec@5 63.281 (59.444)
Epoch: [2][7240/14090]	Time 0.754 (0.756)	Data 0.001 (0.001)	Loss 2.9359 (3.0117)	Prec@1 29.688 (29.968)	Prec@5 61.719 (59.443)
Epoch: [2][7250/14090]	Time 0.781 (0.756)	Data 0.001 (0.001)	Loss 3.3028 (3.0116)	Prec@1 22.656 (29.970)	Prec@5 51.562 (59.445)
Epoch: [2][7260/14090]	Time 0.793 (0.756)	Data 0.001 (0.001)	Loss 3.0698 (3.0116)	Prec@1 29.688 (29.968)	Prec@5 56.250 (59.449)
Epoch: [2][7270/14090]	Time 0.765 (0.756)	Data 0.001 (0.001)	Loss 2.8638 (3.0114)	Prec@1 33.594 (29.971)	Prec@5 64.062 (59.453)
Epoch: [2][7280/14090]	Time 0.751 (0.756)	Data 0.001 (0.001)	Loss 3.1453 (3.0114)	Prec@1 28.906 (29.973)	Prec@5 59.375 (59.451)
Epoch: [2][7290/14090]	Time 0.780 (0.756)	Data 0.001 (0.001)	Loss 2.6588 (3.0114)	Prec@1 40.625 (29.976)	Prec@5 65.625 (59.452)
Epoch: [2][7300/14090]	Time 0.757 (0.756)	Data 0.001 (0.001)	Loss 3.1772 (3.0114)	Prec@1 26.562 (29.974)	Prec@5 57.812 (59.453)
Epoch: [2][7310/14090]	Time 0.762 (0.756)	Data 0.001 (0.001)	Loss 2.8047 (3.0113)	Prec@1 32.031 (29.976)	Prec@5 60.156 (59.456)
Epoch: [2][7320/14090]	Time 0.744 (0.756)	Data 0.001 (0.001)	Loss 3.0586 (3.0113)	Prec@1 28.125 (29.979)	Prec@5 58.594 (59.457)
Epoch: [2][7330/14090]	Time 0.755 (0.756)	Data 0.001 (0.001)	Loss 2.8634 (3.0111)	Prec@1 36.719 (29.983)	Prec@5 65.625 (59.462)
Epoch: [2][7340/14090]	Time 0.745 (0.756)	Data 0.001 (0.001)	Loss 2.9291 (3.0111)	Prec@1 32.812 (29.986)	Prec@5 56.250 (59.460)
Epoch: [2][7350/14090]	Time 0.741 (0.756)	Data 0.001 (0.001)	Loss 3.0578 (3.0109)	Prec@1 27.344 (29.989)	Prec@5 58.594 (59.462)
Epoch: [2][7360/14090]	Time 0.761 (0.756)	Data 0.001 (0.001)	Loss 3.2772 (3.0109)	Prec@1 24.219 (29.989)	Prec@5 54.688 (59.463)
Epoch: [2][7370/14090]	Time 0.747 (0.756)	Data 0.001 (0.001)	Loss 3.0550 (3.0108)	Prec@1 23.438 (29.992)	Prec@5 60.938 (59.464)
Epoch: [2][7380/14090]	Time 0.758 (0.756)	Data 0.001 (0.001)	Loss 2.9958 (3.0107)	Prec@1 32.031 (29.991)	Prec@5 60.156 (59.462)
Epoch: [2][7390/14090]	Time 0.748 (0.756)	Data 0.001 (0.001)	Loss 2.9476 (3.0106)	Prec@1 29.688 (29.994)	Prec@5 60.938 (59.463)
Epoch: [2][7400/14090]	Time 0.753 (0.756)	Data 0.001 (0.001)	Loss 2.9767 (3.0106)	Prec@1 25.781 (29.996)	Prec@5 62.500 (59.464)
Epoch: [2][7410/14090]	Time 0.754 (0.756)	Data 0.001 (0.001)	Loss 2.9307 (3.0106)	Prec@1 32.812 (29.997)	Prec@5 60.938 (59.463)
Epoch: [2][7420/14090]	Time 0.768 (0.756)	Data 0.001 (0.001)	Loss 2.7208 (3.0106)	Prec@1 39.062 (29.999)	Prec@5 63.281 (59.462)
Epoch: [2][7430/14090]	Time 0.757 (0.756)	Data 0.001 (0.001)	Loss 3.2561 (3.0105)	Prec@1 29.688 (30.001)	Prec@5 53.125 (59.464)
Epoch: [2][7440/14090]	Time 0.757 (0.756)	Data 0.001 (0.001)	Loss 2.7591 (3.0105)	Prec@1 35.156 (30.002)	Prec@5 66.406 (59.464)
Epoch: [2][7450/14090]	Time 0.786 (0.756)	Data 0.001 (0.001)	Loss 2.8170 (3.0105)	Prec@1 31.250 (30.003)	Prec@5 67.188 (59.465)
Epoch: [2][7460/14090]	Time 0.763 (0.756)	Data 0.001 (0.001)	Loss 2.9815 (3.0104)	Prec@1 32.031 (30.001)	Prec@5 55.469 (59.465)
Epoch: [2][7470/14090]	Time 0.733 (0.756)	Data 0.001 (0.001)	Loss 3.0371 (3.0103)	Prec@1 28.125 (30.002)	Prec@5 61.719 (59.466)
Epoch: [2][7480/14090]	Time 0.735 (0.756)	Data 0.001 (0.001)	Loss 3.0069 (3.0102)	Prec@1 34.375 (30.004)	Prec@5 61.719 (59.465)
Epoch: [2][7490/14090]	Time 0.742 (0.756)	Data 0.001 (0.001)	Loss 3.2993 (3.0102)	Prec@1 25.000 (30.004)	Prec@5 53.125 (59.465)
Epoch: [2][7500/14090]	Time 0.729 (0.756)	Data 0.001 (0.001)	Loss 2.8137 (3.0101)	Prec@1 35.156 (30.005)	Prec@5 69.531 (59.470)
Epoch: [2][7510/14090]	Time 0.731 (0.756)	Data 0.001 (0.001)	Loss 2.8959 (3.0101)	Prec@1 35.156 (30.007)	Prec@5 60.156 (59.472)
Epoch: [2][7520/14090]	Time 0.737 (0.756)	Data 0.001 (0.001)	Loss 3.0048 (3.0101)	Prec@1 29.688 (30.005)	Prec@5 62.500 (59.471)
Epoch: [2][7530/14090]	Time 0.740 (0.756)	Data 0.001 (0.001)	Loss 3.1088 (3.0100)	Prec@1 24.219 (30.006)	Prec@5 53.906 (59.471)
Epoch: [2][7540/14090]	Time 0.760 (0.756)	Data 0.001 (0.001)	Loss 3.1029 (3.0099)	Prec@1 28.906 (30.007)	Prec@5 54.688 (59.470)
Epoch: [2][7550/14090]	Time 0.766 (0.756)	Data 0.001 (0.001)	Loss 2.8740 (3.0099)	Prec@1 32.812 (30.007)	Prec@5 62.500 (59.471)
Epoch: [2][7560/14090]	Time 0.741 (0.756)	Data 0.001 (0.001)	Loss 3.1016 (3.0099)	Prec@1 27.344 (30.005)	Prec@5 57.812 (59.472)
Epoch: [2][7570/14090]	Time 0.751 (0.756)	Data 0.001 (0.001)	Loss 3.0709 (3.0098)	Prec@1 25.000 (30.005)	Prec@5 58.594 (59.475)
Epoch: [2][7580/14090]	Time 0.793 (0.756)	Data 0.001 (0.001)	Loss 2.9398 (3.0098)	Prec@1 29.688 (30.005)	Prec@5 58.594 (59.478)
Epoch: [2][7590/14090]	Time 0.731 (0.756)	Data 0.001 (0.001)	Loss 3.2352 (3.0097)	Prec@1 25.781 (30.007)	Prec@5 57.031 (59.480)
Epoch: [2][7600/14090]	Time 0.756 (0.756)	Data 0.001 (0.001)	Loss 3.0124 (3.0096)	Prec@1 25.781 (30.008)	Prec@5 57.031 (59.479)
Epoch: [2][7610/14090]	Time 0.747 (0.756)	Data 0.001 (0.001)	Loss 2.7726 (3.0096)	Prec@1 35.156 (30.011)	Prec@5 68.750 (59.479)
Epoch: [2][7620/14090]	Time 0.749 (0.756)	Data 0.001 (0.001)	Loss 3.0365 (3.0095)	Prec@1 30.469 (30.013)	Prec@5 58.594 (59.477)
Epoch: [2][7630/14090]	Time 0.766 (0.756)	Data 0.001 (0.001)	Loss 2.8474 (3.0096)	Prec@1 30.469 (30.012)	Prec@5 64.062 (59.476)
Epoch: [2][7640/14090]	Time 0.757 (0.756)	Data 0.001 (0.001)	Loss 3.0412 (3.0097)	Prec@1 32.031 (30.010)	Prec@5 62.500 (59.477)
Epoch: [2][7650/14090]	Time 0.741 (0.756)	Data 0.001 (0.001)	Loss 2.9469 (3.0096)	Prec@1 35.938 (30.012)	Prec@5 61.719 (59.479)
Epoch: [2][7660/14090]	Time 0.735 (0.756)	Data 0.001 (0.001)	Loss 3.0054 (3.0096)	Prec@1 31.250 (30.012)	Prec@5 60.938 (59.479)
Epoch: [2][7670/14090]	Time 0.737 (0.756)	Data 0.001 (0.001)	Loss 3.2168 (3.0095)	Prec@1 25.000 (30.012)	Prec@5 53.906 (59.480)
Epoch: [2][7680/14090]	Time 0.774 (0.756)	Data 0.001 (0.001)	Loss 2.7902 (3.0094)	Prec@1 39.062 (30.015)	Prec@5 60.938 (59.482)
Epoch: [2][7690/14090]	Time 0.744 (0.756)	Data 0.001 (0.001)	Loss 2.8799 (3.0092)	Prec@1 33.594 (30.018)	Prec@5 60.938 (59.485)
Epoch: [2][7700/14090]	Time 0.777 (0.756)	Data 0.001 (0.001)	Loss 2.9821 (3.0092)	Prec@1 33.594 (30.018)	Prec@5 61.719 (59.488)
Epoch: [2][7710/14090]	Time 0.769 (0.756)	Data 0.001 (0.001)	Loss 2.7287 (3.0091)	Prec@1 31.250 (30.018)	Prec@5 67.188 (59.488)
Epoch: [2][7720/14090]	Time 0.760 (0.756)	Data 0.001 (0.001)	Loss 2.7178 (3.0090)	Prec@1 39.844 (30.019)	Prec@5 60.938 (59.488)
Epoch: [2][7730/14090]	Time 0.780 (0.756)	Data 0.001 (0.001)	Loss 2.8508 (3.0090)	Prec@1 35.156 (30.021)	Prec@5 59.375 (59.488)
Epoch: [2][7740/14090]	Time 0.749 (0.756)	Data 0.001 (0.001)	Loss 2.9142 (3.0089)	Prec@1 35.156 (30.021)	Prec@5 65.625 (59.489)
Epoch: [2][7750/14090]	Time 0.733 (0.756)	Data 0.001 (0.001)	Loss 2.7440 (3.0089)	Prec@1 31.250 (30.024)	Prec@5 64.062 (59.490)
Epoch: [2][7760/14090]	Time 0.758 (0.756)	Data 0.001 (0.001)	Loss 2.9276 (3.0090)	Prec@1 29.688 (30.023)	Prec@5 61.719 (59.488)
Epoch: [2][7770/14090]	Time 0.738 (0.756)	Data 0.001 (0.001)	Loss 3.3157 (3.0090)	Prec@1 29.688 (30.023)	Prec@5 56.250 (59.488)
Epoch: [2][7780/14090]	Time 0.749 (0.756)	Data 0.001 (0.001)	Loss 3.2452 (3.0090)	Prec@1 28.906 (30.026)	Prec@5 53.906 (59.488)
Epoch: [2][7790/14090]	Time 0.742 (0.756)	Data 0.001 (0.001)	Loss 2.8496 (3.0089)	Prec@1 30.469 (30.026)	Prec@5 61.719 (59.491)
Epoch: [2][7800/14090]	Time 0.753 (0.756)	Data 0.001 (0.001)	Loss 3.1091 (3.0090)	Prec@1 25.000 (30.024)	Prec@5 59.375 (59.489)
Epoch: [2][7810/14090]	Time 0.745 (0.756)	Data 0.001 (0.001)	Loss 2.9044 (3.0089)	Prec@1 28.906 (30.027)	Prec@5 63.281 (59.494)
Epoch: [2][7820/14090]	Time 0.759 (0.756)	Data 0.001 (0.001)	Loss 3.0552 (3.0089)	Prec@1 30.469 (30.025)	Prec@5 56.250 (59.493)
Epoch: [2][7830/14090]	Time 0.766 (0.756)	Data 0.001 (0.001)	Loss 3.1021 (3.0089)	Prec@1 28.125 (30.025)	Prec@5 57.031 (59.494)
Epoch: [2][7840/14090]	Time 0.746 (0.756)	Data 0.001 (0.001)	Loss 2.8187 (3.0088)	Prec@1 32.812 (30.025)	Prec@5 65.625 (59.494)
Epoch: [2][7850/14090]	Time 0.763 (0.756)	Data 0.001 (0.001)	Loss 3.0228 (3.0087)	Prec@1 35.156 (30.027)	Prec@5 55.469 (59.495)
Epoch: [2][7860/14090]	Time 0.753 (0.756)	Data 0.001 (0.001)	Loss 2.8479 (3.0087)	Prec@1 32.031 (30.027)	Prec@5 62.500 (59.497)
Epoch: [2][7870/14090]	Time 0.783 (0.756)	Data 0.001 (0.001)	Loss 2.9676 (3.0086)	Prec@1 31.250 (30.030)	Prec@5 66.406 (59.499)
Epoch: [2][7880/14090]	Time 0.733 (0.756)	Data 0.001 (0.001)	Loss 2.9586 (3.0085)	Prec@1 25.000 (30.027)	Prec@5 61.719 (59.500)
Epoch: [2][7890/14090]	Time 0.758 (0.756)	Data 0.001 (0.001)	Loss 2.8193 (3.0085)	Prec@1 29.688 (30.026)	Prec@5 58.594 (59.499)
Epoch: [2][7900/14090]	Time 0.758 (0.756)	Data 0.001 (0.001)	Loss 2.9022 (3.0085)	Prec@1 32.031 (30.026)	Prec@5 59.375 (59.500)
Epoch: [2][7910/14090]	Time 0.773 (0.756)	Data 0.001 (0.001)	Loss 2.9984 (3.0084)	Prec@1 32.031 (30.027)	Prec@5 62.500 (59.503)
Epoch: [2][7920/14090]	Time 0.750 (0.756)	Data 0.001 (0.001)	Loss 2.8490 (3.0085)	Prec@1 27.344 (30.025)	Prec@5 62.500 (59.504)
Epoch: [2][7930/14090]	Time 0.738 (0.756)	Data 0.001 (0.001)	Loss 3.1273 (3.0085)	Prec@1 25.000 (30.023)	Prec@5 60.938 (59.505)
Epoch: [2][7940/14090]	Time 0.734 (0.756)	Data 0.001 (0.001)	Loss 2.8335 (3.0084)	Prec@1 34.375 (30.023)	Prec@5 60.938 (59.507)
Epoch: [2][7950/14090]	Time 0.743 (0.756)	Data 0.001 (0.001)	Loss 3.0346 (3.0084)	Prec@1 32.812 (30.023)	Prec@5 57.812 (59.505)
Epoch: [2][7960/14090]	Time 0.754 (0.756)	Data 0.001 (0.001)	Loss 2.9661 (3.0084)	Prec@1 30.469 (30.025)	Prec@5 61.719 (59.506)
Epoch: [2][7970/14090]	Time 0.735 (0.756)	Data 0.001 (0.001)	Loss 3.1463 (3.0083)	Prec@1 24.219 (30.024)	Prec@5 53.125 (59.505)
Epoch: [2][7980/14090]	Time 0.745 (0.756)	Data 0.001 (0.001)	Loss 2.6687 (3.0082)	Prec@1 33.594 (30.024)	Prec@5 67.188 (59.508)
Epoch: [2][7990/14090]	Time 0.775 (0.756)	Data 0.001 (0.001)	Loss 2.8736 (3.0082)	Prec@1 32.812 (30.024)	Prec@5 64.062 (59.508)
Epoch: [2][8000/14090]	Time 0.749 (0.756)	Data 0.001 (0.001)	Loss 2.8881 (3.0081)	Prec@1 25.000 (30.024)	Prec@5 60.938 (59.510)
Epoch: [2][8010/14090]	Time 0.756 (0.756)	Data 0.001 (0.001)	Loss 2.8803 (3.0080)	Prec@1 34.375 (30.023)	Prec@5 64.062 (59.510)
Epoch: [2][8020/14090]	Time 0.772 (0.756)	Data 0.001 (0.001)	Loss 2.9608 (3.0080)	Prec@1 32.031 (30.024)	Prec@5 62.500 (59.511)
Epoch: [2][8030/14090]	Time 0.781 (0.756)	Data 0.001 (0.001)	Loss 3.1392 (3.0080)	Prec@1 28.906 (30.026)	Prec@5 56.250 (59.511)
Epoch: [2][8040/14090]	Time 0.742 (0.756)	Data 0.001 (0.001)	Loss 3.0935 (3.0079)	Prec@1 33.594 (30.027)	Prec@5 57.031 (59.513)
Epoch: [2][8050/14090]	Time 0.733 (0.756)	Data 0.001 (0.001)	Loss 3.0454 (3.0080)	Prec@1 28.125 (30.025)	Prec@5 57.812 (59.511)
Epoch: [2][8060/14090]	Time 0.787 (0.756)	Data 0.001 (0.001)	Loss 2.9259 (3.0080)	Prec@1 30.469 (30.025)	Prec@5 60.156 (59.510)
Epoch: [2][8070/14090]	Time 0.756 (0.756)	Data 0.001 (0.001)	Loss 2.8698 (3.0079)	Prec@1 29.688 (30.023)	Prec@5 62.500 (59.511)
Epoch: [2][8080/14090]	Time 0.753 (0.756)	Data 0.001 (0.001)	Loss 3.2341 (3.0079)	Prec@1 29.688 (30.023)	Prec@5 54.688 (59.512)
Epoch: [2][8090/14090]	Time 0.771 (0.756)	Data 0.001 (0.001)	Loss 3.1154 (3.0078)	Prec@1 28.125 (30.024)	Prec@5 59.375 (59.512)
Epoch: [2][8100/14090]	Time 0.790 (0.756)	Data 0.001 (0.001)	Loss 2.9414 (3.0078)	Prec@1 30.469 (30.024)	Prec@5 61.719 (59.511)
Epoch: [2][8110/14090]	Time 0.754 (0.756)	Data 0.001 (0.001)	Loss 3.2791 (3.0078)	Prec@1 24.219 (30.023)	Prec@5 48.438 (59.511)
Epoch: [2][8120/14090]	Time 0.743 (0.756)	Data 0.001 (0.001)	Loss 2.6216 (3.0076)	Prec@1 40.625 (30.027)	Prec@5 68.750 (59.514)
Epoch: [2][8130/14090]	Time 0.762 (0.756)	Data 0.001 (0.001)	Loss 3.3851 (3.0077)	Prec@1 27.344 (30.026)	Prec@5 50.781 (59.511)
Epoch: [2][8140/14090]	Time 0.763 (0.756)	Data 0.001 (0.001)	Loss 2.7912 (3.0076)	Prec@1 37.500 (30.027)	Prec@5 60.156 (59.512)
Epoch: [2][8150/14090]	Time 0.749 (0.756)	Data 0.001 (0.001)	Loss 3.0134 (3.0075)	Prec@1 31.250 (30.029)	Prec@5 60.938 (59.513)
Epoch: [2][8160/14090]	Time 0.752 (0.756)	Data 0.001 (0.001)	Loss 2.9934 (3.0074)	Prec@1 29.688 (30.028)	Prec@5 61.719 (59.514)
Epoch: [2][8170/14090]	Time 0.761 (0.756)	Data 0.001 (0.001)	Loss 2.8465 (3.0073)	Prec@1 36.719 (30.030)	Prec@5 65.625 (59.516)
Epoch: [2][8180/14090]	Time 0.752 (0.756)	Data 0.001 (0.001)	Loss 3.0914 (3.0072)	Prec@1 32.812 (30.033)	Prec@5 58.594 (59.516)
Epoch: [2][8190/14090]	Time 0.760 (0.756)	Data 0.001 (0.001)	Loss 2.8204 (3.0071)	Prec@1 32.031 (30.034)	Prec@5 61.719 (59.519)
Epoch: [2][8200/14090]	Time 0.761 (0.756)	Data 0.001 (0.001)	Loss 3.4043 (3.0073)	Prec@1 26.562 (30.031)	Prec@5 48.438 (59.516)
Epoch: [2][8210/14090]	Time 0.777 (0.756)	Data 0.001 (0.001)	Loss 3.0415 (3.0072)	Prec@1 28.906 (30.033)	Prec@5 57.031 (59.519)
Epoch: [2][8220/14090]	Time 0.751 (0.756)	Data 0.001 (0.001)	Loss 3.0859 (3.0072)	Prec@1 31.250 (30.034)	Prec@5 61.719 (59.520)
Epoch: [2][8230/14090]	Time 0.733 (0.756)	Data 0.001 (0.001)	Loss 3.1524 (3.0072)	Prec@1 28.125 (30.035)	Prec@5 57.031 (59.520)
Epoch: [2][8240/14090]	Time 0.771 (0.756)	Data 0.001 (0.001)	Loss 3.0424 (3.0071)	Prec@1 33.594 (30.035)	Prec@5 55.469 (59.522)
Epoch: [2][8250/14090]	Time 0.739 (0.756)	Data 0.001 (0.001)	Loss 2.8780 (3.0070)	Prec@1 32.031 (30.038)	Prec@5 62.500 (59.525)
Epoch: [2][8260/14090]	Time 0.754 (0.756)	Data 0.001 (0.001)	Loss 2.8707 (3.0069)	Prec@1 34.375 (30.040)	Prec@5 58.594 (59.526)
Epoch: [2][8270/14090]	Time 0.744 (0.756)	Data 0.001 (0.001)	Loss 2.9230 (3.0068)	Prec@1 32.031 (30.042)	Prec@5 64.844 (59.529)
Epoch: [2][8280/14090]	Time 0.757 (0.756)	Data 0.001 (0.001)	Loss 3.0624 (3.0068)	Prec@1 28.125 (30.043)	Prec@5 56.250 (59.527)
Epoch: [2][8290/14090]	Time 0.739 (0.756)	Data 0.001 (0.001)	Loss 2.9924 (3.0068)	Prec@1 33.594 (30.043)	Prec@5 55.469 (59.527)
Epoch: [2][8300/14090]	Time 0.756 (0.756)	Data 0.001 (0.001)	Loss 2.9152 (3.0068)	Prec@1 35.156 (30.044)	Prec@5 61.719 (59.527)
Epoch: [2][8310/14090]	Time 0.743 (0.756)	Data 0.001 (0.001)	Loss 2.8826 (3.0067)	Prec@1 25.000 (30.045)	Prec@5 61.719 (59.530)
Epoch: [2][8320/14090]	Time 0.744 (0.756)	Data 0.001 (0.001)	Loss 2.6870 (3.0068)	Prec@1 36.719 (30.046)	Prec@5 62.500 (59.529)
Epoch: [2][8330/14090]	Time 0.743 (0.756)	Data 0.001 (0.001)	Loss 3.0580 (3.0068)	Prec@1 30.469 (30.046)	Prec@5 60.938 (59.530)
Epoch: [2][8340/14090]	Time 0.763 (0.756)	Data 0.001 (0.001)	Loss 2.8381 (3.0067)	Prec@1 39.062 (30.048)	Prec@5 67.969 (59.533)
Epoch: [2][8350/14090]	Time 0.748 (0.756)	Data 0.001 (0.001)	Loss 3.2767 (3.0066)	Prec@1 26.562 (30.049)	Prec@5 50.781 (59.534)
Epoch: [2][8360/14090]	Time 0.754 (0.756)	Data 0.001 (0.001)	Loss 2.7885 (3.0066)	Prec@1 32.031 (30.049)	Prec@5 62.500 (59.535)
Epoch: [2][8370/14090]	Time 0.756 (0.756)	Data 0.001 (0.001)	Loss 3.1108 (3.0066)	Prec@1 28.125 (30.049)	Prec@5 58.594 (59.536)
Epoch: [2][8380/14090]	Time 0.767 (0.756)	Data 0.001 (0.001)	Loss 2.9877 (3.0067)	Prec@1 36.719 (30.048)	Prec@5 56.250 (59.533)
Epoch: [2][8390/14090]	Time 0.753 (0.756)	Data 0.001 (0.001)	Loss 3.0446 (3.0066)	Prec@1 27.344 (30.048)	Prec@5 60.156 (59.534)
Epoch: [2][8400/14090]	Time 0.731 (0.756)	Data 0.001 (0.001)	Loss 2.7422 (3.0066)	Prec@1 30.469 (30.048)	Prec@5 65.625 (59.533)
Epoch: [2][8410/14090]	Time 0.747 (0.756)	Data 0.001 (0.001)	Loss 3.2807 (3.0067)	Prec@1 28.125 (30.046)	Prec@5 55.469 (59.530)
Epoch: [2][8420/14090]	Time 0.781 (0.756)	Data 0.001 (0.001)	Loss 3.0766 (3.0066)	Prec@1 34.375 (30.047)	Prec@5 59.375 (59.533)
Epoch: [2][8430/14090]	Time 0.742 (0.756)	Data 0.001 (0.001)	Loss 2.8198 (3.0065)	Prec@1 30.469 (30.049)	Prec@5 61.719 (59.536)
Epoch: [2][8440/14090]	Time 0.731 (0.756)	Data 0.001 (0.001)	Loss 3.1549 (3.0064)	Prec@1 21.875 (30.048)	Prec@5 51.562 (59.537)
Epoch: [2][8450/14090]	Time 0.783 (0.756)	Data 0.001 (0.001)	Loss 2.9776 (3.0063)	Prec@1 23.438 (30.048)	Prec@5 60.156 (59.538)
Epoch: [2][8460/14090]	Time 0.786 (0.756)	Data 0.001 (0.001)	Loss 2.7210 (3.0063)	Prec@1 33.594 (30.048)	Prec@5 66.406 (59.541)
Epoch: [2][8470/14090]	Time 0.753 (0.756)	Data 0.001 (0.001)	Loss 3.0936 (3.0063)	Prec@1 28.125 (30.048)	Prec@5 55.469 (59.540)
Epoch: [2][8480/14090]	Time 0.778 (0.756)	Data 0.001 (0.001)	Loss 3.3578 (3.0064)	Prec@1 25.000 (30.044)	Prec@5 55.469 (59.538)
Epoch: [2][8490/14090]	Time 0.759 (0.756)	Data 0.001 (0.001)	Loss 2.9266 (3.0064)	Prec@1 28.125 (30.043)	Prec@5 60.156 (59.537)
Epoch: [2][8500/14090]	Time 0.771 (0.756)	Data 0.001 (0.001)	Loss 3.1378 (3.0063)	Prec@1 30.469 (30.045)	Prec@5 55.469 (59.540)
Epoch: [2][8510/14090]	Time 0.750 (0.756)	Data 0.001 (0.001)	Loss 2.9278 (3.0063)	Prec@1 23.438 (30.043)	Prec@5 65.625 (59.541)
Epoch: [2][8520/14090]	Time 0.760 (0.756)	Data 0.001 (0.001)	Loss 2.9559 (3.0062)	Prec@1 25.781 (30.045)	Prec@5 66.406 (59.545)
Epoch: [2][8530/14090]	Time 0.761 (0.756)	Data 0.001 (0.001)	Loss 2.9521 (3.0061)	Prec@1 29.688 (30.044)	Prec@5 57.812 (59.546)
Epoch: [2][8540/14090]	Time 0.784 (0.756)	Data 0.001 (0.001)	Loss 3.1071 (3.0060)	Prec@1 30.469 (30.046)	Prec@5 55.469 (59.549)
Epoch: [2][8550/14090]	Time 0.744 (0.756)	Data 0.001 (0.001)	Loss 2.9141 (3.0060)	Prec@1 32.812 (30.047)	Prec@5 66.406 (59.548)
Epoch: [2][8560/14090]	Time 0.739 (0.756)	Data 0.001 (0.001)	Loss 3.3694 (3.0060)	Prec@1 21.094 (30.049)	Prec@5 51.562 (59.549)
Epoch: [2][8570/14090]	Time 0.765 (0.756)	Data 0.001 (0.001)	Loss 3.1354 (3.0059)	Prec@1 29.688 (30.050)	Prec@5 52.344 (59.551)
Epoch: [2][8580/14090]	Time 0.791 (0.756)	Data 0.001 (0.001)	Loss 2.7431 (3.0059)	Prec@1 35.156 (30.049)	Prec@5 60.938 (59.552)
Epoch: [2][8590/14090]	Time 0.730 (0.756)	Data 0.001 (0.001)	Loss 2.6628 (3.0057)	Prec@1 34.375 (30.052)	Prec@5 68.750 (59.556)
Epoch: [2][8600/14090]	Time 0.743 (0.756)	Data 0.001 (0.001)	Loss 2.6806 (3.0056)	Prec@1 38.281 (30.054)	Prec@5 71.094 (59.560)
Epoch: [2][8610/14090]	Time 0.753 (0.756)	Data 0.001 (0.001)	Loss 3.0707 (3.0055)	Prec@1 34.375 (30.058)	Prec@5 55.469 (59.562)
Epoch: [2][8620/14090]	Time 0.744 (0.756)	Data 0.001 (0.001)	Loss 2.9438 (3.0054)	Prec@1 25.000 (30.060)	Prec@5 64.062 (59.566)
Epoch: [2][8630/14090]	Time 0.731 (0.756)	Data 0.001 (0.001)	Loss 3.0760 (3.0052)	Prec@1 33.594 (30.063)	Prec@5 56.250 (59.569)
Epoch: [2][8640/14090]	Time 0.753 (0.756)	Data 0.001 (0.001)	Loss 2.5897 (3.0051)	Prec@1 39.062 (30.065)	Prec@5 65.625 (59.570)
Epoch: [2][8650/14090]	Time 0.753 (0.756)	Data 0.001 (0.001)	Loss 3.1342 (3.0049)	Prec@1 32.812 (30.068)	Prec@5 56.250 (59.573)
Epoch: [2][8660/14090]	Time 0.759 (0.756)	Data 0.001 (0.001)	Loss 2.7238 (3.0048)	Prec@1 34.375 (30.069)	Prec@5 61.719 (59.575)
Epoch: [2][8670/14090]	Time 0.770 (0.756)	Data 0.001 (0.001)	Loss 3.1418 (3.0048)	Prec@1 26.562 (30.071)	Prec@5 58.594 (59.576)
Epoch: [2][8680/14090]	Time 0.743 (0.756)	Data 0.001 (0.001)	Loss 2.7856 (3.0047)	Prec@1 31.250 (30.071)	Prec@5 64.844 (59.577)
Epoch: [2][8690/14090]	Time 0.728 (0.756)	Data 0.001 (0.001)	Loss 2.7124 (3.0047)	Prec@1 37.500 (30.072)	Prec@5 63.281 (59.577)
Epoch: [2][8700/14090]	Time 0.765 (0.756)	Data 0.001 (0.001)	Loss 2.9614 (3.0047)	Prec@1 25.000 (30.072)	Prec@5 57.812 (59.577)
Epoch: [2][8710/14090]	Time 0.755 (0.756)	Data 0.001 (0.001)	Loss 2.8950 (3.0046)	Prec@1 28.125 (30.074)	Prec@5 62.500 (59.579)
Epoch: [2][8720/14090]	Time 0.737 (0.756)	Data 0.001 (0.001)	Loss 2.7850 (3.0046)	Prec@1 35.156 (30.075)	Prec@5 65.625 (59.579)
Epoch: [2][8730/14090]	Time 0.773 (0.756)	Data 0.001 (0.001)	Loss 2.5977 (3.0045)	Prec@1 42.188 (30.078)	Prec@5 72.656 (59.581)
Epoch: [2][8740/14090]	Time 0.727 (0.756)	Data 0.001 (0.001)	Loss 2.9805 (3.0045)	Prec@1 34.375 (30.080)	Prec@5 56.250 (59.581)
Epoch: [2][8750/14090]	Time 0.735 (0.756)	Data 0.001 (0.001)	Loss 3.0347 (3.0045)	Prec@1 32.812 (30.079)	Prec@5 59.375 (59.579)
Epoch: [2][8760/14090]	Time 0.771 (0.756)	Data 0.001 (0.001)	Loss 2.9682 (3.0045)	Prec@1 30.469 (30.080)	Prec@5 61.719 (59.581)
Epoch: [2][8770/14090]	Time 0.740 (0.756)	Data 0.001 (0.001)	Loss 2.9007 (3.0045)	Prec@1 29.688 (30.079)	Prec@5 60.156 (59.579)
Epoch: [2][8780/14090]	Time 0.746 (0.756)	Data 0.001 (0.001)	Loss 2.9149 (3.0045)	Prec@1 31.250 (30.080)	Prec@5 60.156 (59.579)
Epoch: [2][8790/14090]	Time 0.772 (0.756)	Data 0.001 (0.001)	Loss 3.0011 (3.0045)	Prec@1 28.125 (30.080)	Prec@5 59.375 (59.578)
Epoch: [2][8800/14090]	Time 0.732 (0.756)	Data 0.001 (0.001)	Loss 3.0662 (3.0044)	Prec@1 29.688 (30.082)	Prec@5 57.812 (59.580)
Epoch: [2][8810/14090]	Time 0.777 (0.756)	Data 0.001 (0.001)	Loss 3.0230 (3.0043)	Prec@1 33.594 (30.084)	Prec@5 60.156 (59.581)
Epoch: [2][8820/14090]	Time 0.756 (0.756)	Data 0.001 (0.001)	Loss 2.7714 (3.0041)	Prec@1 31.250 (30.086)	Prec@5 61.719 (59.583)
Epoch: [2][8830/14090]	Time 0.764 (0.756)	Data 0.001 (0.001)	Loss 3.0974 (3.0040)	Prec@1 29.688 (30.089)	Prec@5 64.062 (59.587)
Epoch: [2][8840/14090]	Time 0.764 (0.756)	Data 0.001 (0.001)	Loss 2.9969 (3.0040)	Prec@1 28.125 (30.088)	Prec@5 60.156 (59.586)
Epoch: [2][8850/14090]	Time 0.752 (0.756)	Data 0.001 (0.001)	Loss 3.1293 (3.0040)	Prec@1 24.219 (30.087)	Prec@5 56.250 (59.587)
Epoch: [2][8860/14090]	Time 0.748 (0.756)	Data 0.001 (0.001)	Loss 2.6538 (3.0039)	Prec@1 37.500 (30.088)	Prec@5 64.062 (59.589)
Epoch: [2][8870/14090]	Time 0.756 (0.756)	Data 0.001 (0.001)	Loss 2.8160 (3.0039)	Prec@1 33.594 (30.087)	Prec@5 64.062 (59.588)
Epoch: [2][8880/14090]	Time 0.759 (0.756)	Data 0.001 (0.001)	Loss 3.0531 (3.0039)	Prec@1 32.812 (30.088)	Prec@5 57.031 (59.589)
Epoch: [2][8890/14090]	Time 0.768 (0.756)	Data 0.001 (0.001)	Loss 3.0072 (3.0038)	Prec@1 34.375 (30.090)	Prec@5 55.469 (59.590)
Epoch: [2][8900/14090]	Time 0.761 (0.756)	Data 0.001 (0.001)	Loss 2.9538 (3.0037)	Prec@1 31.250 (30.092)	Prec@5 62.500 (59.590)
Epoch: [2][8910/14090]	Time 0.760 (0.756)	Data 0.001 (0.001)	Loss 3.0106 (3.0037)	Prec@1 33.594 (30.095)	Prec@5 58.594 (59.589)
Epoch: [2][8920/14090]	Time 0.745 (0.756)	Data 0.001 (0.001)	Loss 3.0435 (3.0037)	Prec@1 29.688 (30.094)	Prec@5 59.375 (59.589)
Epoch: [2][8930/14090]	Time 0.759 (0.756)	Data 0.001 (0.001)	Loss 2.9127 (3.0037)	Prec@1 33.594 (30.096)	Prec@5 58.594 (59.589)
Epoch: [2][8940/14090]	Time 0.736 (0.756)	Data 0.001 (0.001)	Loss 2.6660 (3.0036)	Prec@1 36.719 (30.098)	Prec@5 64.062 (59.590)
Epoch: [2][8950/14090]	Time 0.741 (0.756)	Data 0.001 (0.001)	Loss 3.0374 (3.0035)	Prec@1 28.906 (30.099)	Prec@5 55.469 (59.592)
Epoch: [2][8960/14090]	Time 0.772 (0.756)	Data 0.001 (0.001)	Loss 3.1081 (3.0035)	Prec@1 28.906 (30.100)	Prec@5 55.469 (59.593)
Epoch: [2][8970/14090]	Time 0.737 (0.756)	Data 0.002 (0.001)	Loss 2.9938 (3.0035)	Prec@1 25.000 (30.101)	Prec@5 60.938 (59.593)
Epoch: [2][8980/14090]	Time 0.749 (0.756)	Data 0.001 (0.001)	Loss 2.8104 (3.0034)	Prec@1 38.281 (30.103)	Prec@5 60.938 (59.594)
Epoch: [2][8990/14090]	Time 0.774 (0.756)	Data 0.001 (0.001)	Loss 3.2307 (3.0034)	Prec@1 22.656 (30.103)	Prec@5 53.906 (59.594)
Epoch: [2][9000/14090]	Time 0.785 (0.756)	Data 0.001 (0.001)	Loss 2.9226 (3.0033)	Prec@1 35.156 (30.107)	Prec@5 59.375 (59.595)
Epoch: [2][9010/14090]	Time 0.744 (0.756)	Data 0.001 (0.001)	Loss 3.0570 (3.0033)	Prec@1 28.906 (30.107)	Prec@5 57.812 (59.594)
Epoch: [2][9020/14090]	Time 0.771 (0.756)	Data 0.001 (0.001)	Loss 3.1181 (3.0033)	Prec@1 26.562 (30.106)	Prec@5 58.594 (59.594)
Epoch: [2][9030/14090]	Time 0.739 (0.756)	Data 0.001 (0.001)	Loss 3.4149 (3.0033)	Prec@1 21.094 (30.107)	Prec@5 48.438 (59.594)
Epoch: [2][9040/14090]	Time 0.774 (0.756)	Data 0.001 (0.001)	Loss 2.7550 (3.0032)	Prec@1 34.375 (30.110)	Prec@5 64.844 (59.596)
Epoch: [2][9050/14090]	Time 0.753 (0.756)	Data 0.001 (0.001)	Loss 3.1994 (3.0032)	Prec@1 30.469 (30.111)	Prec@5 53.125 (59.596)
Epoch: [2][9060/14090]	Time 0.757 (0.756)	Data 0.001 (0.001)	Loss 2.9579 (3.0031)	Prec@1 27.344 (30.111)	Prec@5 58.594 (59.598)
Epoch: [2][9070/14090]	Time 0.730 (0.756)	Data 0.001 (0.001)	Loss 2.7901 (3.0030)	Prec@1 32.812 (30.110)	Prec@5 62.500 (59.598)
Epoch: [2][9080/14090]	Time 0.769 (0.756)	Data 0.001 (0.001)	Loss 2.6353 (3.0030)	Prec@1 38.281 (30.112)	Prec@5 71.094 (59.598)
Epoch: [2][9090/14090]	Time 0.739 (0.756)	Data 0.001 (0.001)	Loss 2.9756 (3.0030)	Prec@1 24.219 (30.112)	Prec@5 59.375 (59.598)
Epoch: [2][9100/14090]	Time 0.746 (0.756)	Data 0.001 (0.001)	Loss 2.8881 (3.0030)	Prec@1 32.031 (30.113)	Prec@5 60.938 (59.598)
Epoch: [2][9110/14090]	Time 0.757 (0.756)	Data 0.001 (0.001)	Loss 3.0523 (3.0029)	Prec@1 26.562 (30.115)	Prec@5 64.062 (59.602)
Epoch: [2][9120/14090]	Time 0.757 (0.756)	Data 0.001 (0.001)	Loss 3.0148 (3.0029)	Prec@1 24.219 (30.115)	Prec@5 60.156 (59.602)
Epoch: [2][9130/14090]	Time 0.768 (0.756)	Data 0.001 (0.001)	Loss 3.0199 (3.0029)	Prec@1 30.469 (30.114)	Prec@5 57.812 (59.600)
Epoch: [2][9140/14090]	Time 0.779 (0.756)	Data 0.001 (0.001)	Loss 3.0982 (3.0029)	Prec@1 29.688 (30.115)	Prec@5 53.125 (59.601)
Epoch: [2][9150/14090]	Time 0.761 (0.756)	Data 0.001 (0.001)	Loss 3.0706 (3.0028)	Prec@1 33.594 (30.117)	Prec@5 59.375 (59.603)
Epoch: [2][9160/14090]	Time 0.751 (0.756)	Data 0.001 (0.001)	Loss 2.9882 (3.0027)	Prec@1 32.031 (30.119)	Prec@5 60.938 (59.607)
Epoch: [2][9170/14090]	Time 0.752 (0.756)	Data 0.001 (0.001)	Loss 3.1160 (3.0026)	Prec@1 29.688 (30.119)	Prec@5 60.938 (59.609)
Epoch: [2][9180/14090]	Time 0.789 (0.756)	Data 0.001 (0.001)	Loss 3.2236 (3.0027)	Prec@1 21.875 (30.118)	Prec@5 59.375 (59.608)
Epoch: [2][9190/14090]	Time 0.740 (0.756)	Data 0.001 (0.001)	Loss 3.0057 (3.0027)	Prec@1 35.156 (30.118)	Prec@5 60.938 (59.609)
Epoch: [2][9200/14090]	Time 0.729 (0.756)	Data 0.001 (0.001)	Loss 2.9425 (3.0027)	Prec@1 27.344 (30.116)	Prec@5 59.375 (59.608)
Epoch: [2][9210/14090]	Time 0.757 (0.756)	Data 0.001 (0.001)	Loss 2.7623 (3.0027)	Prec@1 34.375 (30.115)	Prec@5 72.656 (59.609)
Epoch: [2][9220/14090]	Time 0.744 (0.756)	Data 0.001 (0.001)	Loss 3.0539 (3.0027)	Prec@1 28.906 (30.114)	Prec@5 57.031 (59.608)
Epoch: [2][9230/14090]	Time 0.753 (0.756)	Data 0.001 (0.001)	Loss 3.0437 (3.0027)	Prec@1 30.469 (30.113)	Prec@5 56.250 (59.607)
Epoch: [2][9240/14090]	Time 0.781 (0.756)	Data 0.001 (0.001)	Loss 2.8147 (3.0027)	Prec@1 32.031 (30.114)	Prec@5 63.281 (59.607)
Epoch: [2][9250/14090]	Time 0.766 (0.756)	Data 0.001 (0.001)	Loss 3.0807 (3.0025)	Prec@1 24.219 (30.118)	Prec@5 54.688 (59.610)
Epoch: [2][9260/14090]	Time 0.729 (0.756)	Data 0.001 (0.001)	Loss 2.9808 (3.0024)	Prec@1 28.125 (30.118)	Prec@5 57.812 (59.610)
Epoch: [2][9270/14090]	Time 0.766 (0.756)	Data 0.001 (0.001)	Loss 2.8023 (3.0022)	Prec@1 28.125 (30.122)	Prec@5 64.062 (59.615)
Epoch: [2][9280/14090]	Time 0.751 (0.756)	Data 0.001 (0.001)	Loss 3.0705 (3.0022)	Prec@1 30.469 (30.121)	Prec@5 53.906 (59.615)
Epoch: [2][9290/14090]	Time 0.750 (0.756)	Data 0.001 (0.001)	Loss 3.0411 (3.0022)	Prec@1 29.688 (30.122)	Prec@5 58.594 (59.614)
Epoch: [2][9300/14090]	Time 0.758 (0.756)	Data 0.001 (0.001)	Loss 2.9063 (3.0022)	Prec@1 33.594 (30.123)	Prec@5 62.500 (59.616)
Epoch: [2][9310/14090]	Time 0.752 (0.756)	Data 0.001 (0.001)	Loss 2.9182 (3.0022)	Prec@1 36.719 (30.124)	Prec@5 61.719 (59.616)
Epoch: [2][9320/14090]	Time 0.775 (0.756)	Data 0.001 (0.001)	Loss 2.9682 (3.0022)	Prec@1 35.156 (30.124)	Prec@5 58.594 (59.617)
Epoch: [2][9330/14090]	Time 0.764 (0.756)	Data 0.001 (0.001)	Loss 2.5966 (3.0022)	Prec@1 35.938 (30.124)	Prec@5 66.406 (59.616)
Epoch: [2][9340/14090]	Time 0.755 (0.756)	Data 0.001 (0.001)	Loss 3.0478 (3.0022)	Prec@1 29.688 (30.124)	Prec@5 55.469 (59.617)
Epoch: [2][9350/14090]	Time 0.727 (0.756)	Data 0.001 (0.001)	Loss 3.0154 (3.0021)	Prec@1 34.375 (30.125)	Prec@5 60.938 (59.618)
Epoch: [2][9360/14090]	Time 0.760 (0.756)	Data 0.001 (0.001)	Loss 2.9047 (3.0021)	Prec@1 30.469 (30.125)	Prec@5 64.844 (59.620)
Epoch: [2][9370/14090]	Time 0.782 (0.756)	Data 0.001 (0.001)	Loss 2.9232 (3.0021)	Prec@1 25.000 (30.123)	Prec@5 61.719 (59.621)
Epoch: [2][9380/14090]	Time 0.749 (0.756)	Data 0.001 (0.001)	Loss 3.0638 (3.0019)	Prec@1 29.688 (30.127)	Prec@5 60.156 (59.625)
Epoch: [2][9390/14090]	Time 0.758 (0.756)	Data 0.001 (0.001)	Loss 3.0582 (3.0019)	Prec@1 28.125 (30.127)	Prec@5 56.250 (59.626)
Epoch: [2][9400/14090]	Time 0.736 (0.756)	Data 0.001 (0.001)	Loss 2.5904 (3.0017)	Prec@1 32.812 (30.128)	Prec@5 68.750 (59.630)
Epoch: [2][9410/14090]	Time 0.785 (0.756)	Data 0.001 (0.001)	Loss 2.9944 (3.0016)	Prec@1 31.250 (30.131)	Prec@5 61.719 (59.633)
Epoch: [2][9420/14090]	Time 0.747 (0.756)	Data 0.001 (0.001)	Loss 3.0004 (3.0016)	Prec@1 30.469 (30.132)	Prec@5 63.281 (59.635)
Epoch: [2][9430/14090]	Time 0.763 (0.756)	Data 0.001 (0.001)	Loss 3.0699 (3.0016)	Prec@1 26.562 (30.130)	Prec@5 64.062 (59.636)
Epoch: [2][9440/14090]	Time 0.759 (0.756)	Data 0.001 (0.001)	Loss 3.0172 (3.0014)	Prec@1 27.344 (30.131)	Prec@5 54.688 (59.638)
Epoch: [2][9450/14090]	Time 0.746 (0.756)	Data 0.001 (0.001)	Loss 2.5393 (3.0014)	Prec@1 35.156 (30.132)	Prec@5 66.406 (59.637)
Epoch: [2][9460/14090]	Time 0.760 (0.756)	Data 0.001 (0.001)	Loss 3.0889 (3.0015)	Prec@1 24.219 (30.130)	Prec@5 57.812 (59.636)
Epoch: [2][9470/14090]	Time 0.759 (0.756)	Data 0.001 (0.001)	Loss 3.0186 (3.0015)	Prec@1 27.344 (30.131)	Prec@5 63.281 (59.637)
Epoch: [2][9480/14090]	Time 0.754 (0.756)	Data 0.001 (0.001)	Loss 2.9049 (3.0015)	Prec@1 32.812 (30.131)	Prec@5 59.375 (59.636)
Epoch: [2][9490/14090]	Time 0.757 (0.756)	Data 0.001 (0.001)	Loss 3.1851 (3.0014)	Prec@1 32.031 (30.133)	Prec@5 53.125 (59.635)
Epoch: [2][9500/14090]	Time 0.758 (0.756)	Data 0.001 (0.001)	Loss 3.0410 (3.0014)	Prec@1 28.125 (30.134)	Prec@5 60.156 (59.637)
Epoch: [2][9510/14090]	Time 0.753 (0.756)	Data 0.001 (0.001)	Loss 2.9184 (3.0013)	Prec@1 32.031 (30.136)	Prec@5 59.375 (59.638)
Epoch: [2][9520/14090]	Time 0.755 (0.756)	Data 0.001 (0.001)	Loss 3.1331 (3.0013)	Prec@1 28.906 (30.137)	Prec@5 59.375 (59.640)
Epoch: [2][9530/14090]	Time 0.749 (0.756)	Data 0.001 (0.001)	Loss 2.9260 (3.0013)	Prec@1 36.719 (30.137)	Prec@5 57.031 (59.639)
Epoch: [2][9540/14090]	Time 0.763 (0.756)	Data 0.001 (0.001)	Loss 3.0411 (3.0012)	Prec@1 25.781 (30.136)	Prec@5 58.594 (59.641)
Epoch: [2][9550/14090]	Time 0.745 (0.756)	Data 0.001 (0.001)	Loss 3.1166 (3.0012)	Prec@1 25.781 (30.137)	Prec@5 57.812 (59.641)
Epoch: [2][9560/14090]	Time 0.731 (0.756)	Data 0.001 (0.001)	Loss 2.9861 (3.0012)	Prec@1 28.125 (30.138)	Prec@5 61.719 (59.642)
Epoch: [2][9570/14090]	Time 0.743 (0.756)	Data 0.001 (0.001)	Loss 3.0972 (3.0012)	Prec@1 28.906 (30.138)	Prec@5 54.688 (59.642)
Epoch: [2][9580/14090]	Time 0.756 (0.756)	Data 0.001 (0.001)	Loss 2.8370 (3.0012)	Prec@1 35.938 (30.139)	Prec@5 69.531 (59.641)
Epoch: [2][9590/14090]	Time 0.727 (0.756)	Data 0.001 (0.001)	Loss 2.6025 (3.0012)	Prec@1 39.062 (30.139)	Prec@5 69.531 (59.642)
Epoch: [2][9600/14090]	Time 0.776 (0.756)	Data 0.001 (0.001)	Loss 3.0211 (3.0012)	Prec@1 25.781 (30.138)	Prec@5 57.031 (59.643)
Epoch: [2][9610/14090]	Time 0.742 (0.756)	Data 0.001 (0.001)	Loss 3.2097 (3.0011)	Prec@1 27.344 (30.138)	Prec@5 60.938 (59.644)
Epoch: [2][9620/14090]	Time 0.754 (0.756)	Data 0.001 (0.001)	Loss 3.1273 (3.0011)	Prec@1 28.125 (30.138)	Prec@5 56.250 (59.644)
Epoch: [2][9630/14090]	Time 0.762 (0.756)	Data 0.001 (0.001)	Loss 2.7401 (3.0011)	Prec@1 33.594 (30.139)	Prec@5 68.750 (59.644)
Epoch: [2][9640/14090]	Time 0.731 (0.756)	Data 0.001 (0.001)	Loss 2.9760 (3.0010)	Prec@1 22.656 (30.140)	Prec@5 64.062 (59.648)
Epoch: [2][9650/14090]	Time 0.769 (0.756)	Data 0.001 (0.001)	Loss 2.7642 (3.0010)	Prec@1 31.250 (30.141)	Prec@5 60.938 (59.648)
Epoch: [2][9660/14090]	Time 0.757 (0.756)	Data 0.001 (0.001)	Loss 2.8243 (3.0009)	Prec@1 33.594 (30.142)	Prec@5 66.406 (59.651)
Epoch: [2][9670/14090]	Time 0.745 (0.756)	Data 0.001 (0.001)	Loss 3.0023 (3.0010)	Prec@1 31.250 (30.142)	Prec@5 60.938 (59.650)
Epoch: [2][9680/14090]	Time 0.724 (0.756)	Data 0.001 (0.001)	Loss 3.0348 (3.0009)	Prec@1 31.250 (30.144)	Prec@5 62.500 (59.653)
Epoch: [2][9690/14090]	Time 0.736 (0.756)	Data 0.002 (0.001)	Loss 3.0424 (3.0009)	Prec@1 29.688 (30.145)	Prec@5 60.938 (59.655)
Epoch: [2][9700/14090]	Time 0.759 (0.756)	Data 0.001 (0.001)	Loss 2.6695 (3.0008)	Prec@1 32.812 (30.144)	Prec@5 61.719 (59.656)
Epoch: [2][9710/14090]	Time 0.754 (0.756)	Data 0.001 (0.001)	Loss 3.1720 (3.0008)	Prec@1 26.562 (30.145)	Prec@5 56.250 (59.658)
Epoch: [2][9720/14090]	Time 0.758 (0.756)	Data 0.001 (0.001)	Loss 2.7519 (3.0006)	Prec@1 38.281 (30.147)	Prec@5 64.062 (59.662)
Epoch: [2][9730/14090]	Time 0.753 (0.756)	Data 0.001 (0.001)	Loss 2.6723 (3.0005)	Prec@1 32.812 (30.149)	Prec@5 64.844 (59.665)
Epoch: [2][9740/14090]	Time 0.763 (0.756)	Data 0.001 (0.001)	Loss 2.9024 (3.0005)	Prec@1 37.500 (30.150)	Prec@5 61.719 (59.665)
Epoch: [2][9750/14090]	Time 0.774 (0.756)	Data 0.001 (0.001)	Loss 2.9989 (3.0005)	Prec@1 29.688 (30.149)	Prec@5 64.844 (59.668)
Epoch: [2][9760/14090]	Time 0.750 (0.756)	Data 0.001 (0.001)	Loss 2.7630 (3.0004)	Prec@1 37.500 (30.152)	Prec@5 67.969 (59.669)
Epoch: [2][9770/14090]	Time 0.755 (0.756)	Data 0.001 (0.001)	Loss 3.0217 (3.0004)	Prec@1 22.656 (30.152)	Prec@5 57.812 (59.667)
Epoch: [2][9780/14090]	Time 0.737 (0.756)	Data 0.001 (0.001)	Loss 2.6558 (3.0004)	Prec@1 39.062 (30.155)	Prec@5 66.406 (59.666)
Epoch: [2][9790/14090]	Time 0.723 (0.756)	Data 0.001 (0.001)	Loss 3.1069 (3.0004)	Prec@1 31.250 (30.156)	Prec@5 60.156 (59.668)
Epoch: [2][9800/14090]	Time 0.747 (0.756)	Data 0.001 (0.001)	Loss 2.6431 (3.0003)	Prec@1 32.812 (30.157)	Prec@5 68.750 (59.671)
Epoch: [2][9810/14090]	Time 0.734 (0.756)	Data 0.001 (0.001)	Loss 2.8177 (3.0002)	Prec@1 33.594 (30.158)	Prec@5 64.844 (59.674)
Epoch: [2][9820/14090]	Time 0.732 (0.756)	Data 0.001 (0.001)	Loss 2.9142 (3.0000)	Prec@1 27.344 (30.159)	Prec@5 61.719 (59.677)
Epoch: [2][9830/14090]	Time 0.725 (0.756)	Data 0.001 (0.001)	Loss 2.9780 (3.0001)	Prec@1 32.031 (30.159)	Prec@5 65.625 (59.676)
Epoch: [2][9840/14090]	Time 0.735 (0.756)	Data 0.001 (0.001)	Loss 3.1440 (3.0000)	Prec@1 26.562 (30.161)	Prec@5 53.906 (59.676)
Epoch: [2][9850/14090]	Time 0.752 (0.756)	Data 0.001 (0.001)	Loss 2.8340 (3.0000)	Prec@1 32.812 (30.161)	Prec@5 61.719 (59.677)
Epoch: [2][9860/14090]	Time 0.723 (0.756)	Data 0.001 (0.001)	Loss 3.1011 (3.0000)	Prec@1 25.781 (30.160)	Prec@5 57.031 (59.679)
Epoch: [2][9870/14090]	Time 0.734 (0.756)	Data 0.001 (0.001)	Loss 3.0374 (2.9999)	Prec@1 31.250 (30.161)	Prec@5 60.938 (59.679)
Epoch: [2][9880/14090]	Time 0.752 (0.756)	Data 0.001 (0.001)	Loss 3.2155 (2.9999)	Prec@1 22.656 (30.160)	Prec@5 54.688 (59.679)
Epoch: [2][9890/14090]	Time 0.754 (0.756)	Data 0.001 (0.001)	Loss 2.8940 (3.0000)	Prec@1 32.031 (30.161)	Prec@5 64.844 (59.678)
Epoch: [2][9900/14090]	Time 0.764 (0.756)	Data 0.001 (0.001)	Loss 2.7481 (3.0000)	Prec@1 37.500 (30.161)	Prec@5 66.406 (59.678)
Epoch: [2][9910/14090]	Time 0.772 (0.756)	Data 0.001 (0.001)	Loss 2.8302 (2.9999)	Prec@1 32.812 (30.164)	Prec@5 57.031 (59.679)
Epoch: [2][9920/14090]	Time 0.739 (0.756)	Data 0.001 (0.001)	Loss 2.7491 (2.9998)	Prec@1 37.500 (30.165)	Prec@5 62.500 (59.681)
Epoch: [2][9930/14090]	Time 0.770 (0.756)	Data 0.001 (0.001)	Loss 3.1415 (2.9997)	Prec@1 24.219 (30.165)	Prec@5 55.469 (59.682)
Epoch: [2][9940/14090]	Time 0.782 (0.756)	Data 0.001 (0.001)	Loss 3.1289 (2.9998)	Prec@1 31.250 (30.163)	Prec@5 59.375 (59.680)
Epoch: [2][9950/14090]	Time 0.772 (0.756)	Data 0.001 (0.001)	Loss 3.1538 (2.9998)	Prec@1 28.125 (30.165)	Prec@5 62.500 (59.681)
Epoch: [2][9960/14090]	Time 0.747 (0.756)	Data 0.001 (0.001)	Loss 2.7991 (2.9998)	Prec@1 33.594 (30.165)	Prec@5 64.062 (59.683)
Epoch: [2][9970/14090]	Time 0.754 (0.756)	Data 0.001 (0.001)	Loss 3.3014 (2.9998)	Prec@1 24.219 (30.164)	Prec@5 55.469 (59.680)
Epoch: [2][9980/14090]	Time 0.757 (0.756)	Data 0.001 (0.001)	Loss 2.5705 (2.9998)	Prec@1 35.938 (30.163)	Prec@5 68.750 (59.680)
Epoch: [2][9990/14090]	Time 0.761 (0.756)	Data 0.001 (0.001)	Loss 2.9969 (2.9998)	Prec@1 36.719 (30.164)	Prec@5 57.031 (59.681)
Epoch: [2][10000/14090]	Time 0.764 (0.756)	Data 0.001 (0.001)	Loss 3.0821 (2.9997)	Prec@1 26.562 (30.164)	Prec@5 56.250 (59.681)
Epoch: [2][10010/14090]	Time 0.744 (0.756)	Data 0.001 (0.001)	Loss 3.1182 (2.9997)	Prec@1 26.562 (30.163)	Prec@5 58.594 (59.681)
Epoch: [2][10020/14090]	Time 0.743 (0.756)	Data 0.001 (0.001)	Loss 2.9940 (2.9997)	Prec@1 32.031 (30.163)	Prec@5 56.250 (59.682)
Epoch: [2][10030/14090]	Time 0.758 (0.756)	Data 0.001 (0.001)	Loss 2.9820 (2.9997)	Prec@1 34.375 (30.164)	Prec@5 56.250 (59.682)
Epoch: [2][10040/14090]	Time 0.769 (0.756)	Data 0.001 (0.001)	Loss 2.8801 (2.9996)	Prec@1 31.250 (30.165)	Prec@5 61.719 (59.684)
Epoch: [2][10050/14090]	Time 0.764 (0.756)	Data 0.001 (0.001)	Loss 3.1005 (2.9996)	Prec@1 32.031 (30.168)	Prec@5 56.250 (59.683)
Epoch: [2][10060/14090]	Time 0.757 (0.756)	Data 0.001 (0.001)	Loss 2.9628 (2.9996)	Prec@1 32.812 (30.167)	Prec@5 59.375 (59.684)
Epoch: [2][10070/14090]	Time 0.733 (0.756)	Data 0.001 (0.001)	Loss 3.0535 (2.9996)	Prec@1 25.000 (30.166)	Prec@5 53.125 (59.684)
Epoch: [2][10080/14090]	Time 0.734 (0.756)	Data 0.001 (0.001)	Loss 2.8433 (2.9995)	Prec@1 36.719 (30.167)	Prec@5 65.625 (59.685)
Epoch: [2][10090/14090]	Time 0.741 (0.756)	Data 0.001 (0.001)	Loss 3.0019 (2.9995)	Prec@1 29.688 (30.169)	Prec@5 59.375 (59.685)
Epoch: [2][10100/14090]	Time 0.760 (0.756)	Data 0.001 (0.001)	Loss 3.0442 (2.9995)	Prec@1 34.375 (30.170)	Prec@5 60.938 (59.686)
Epoch: [2][10110/14090]	Time 0.738 (0.756)	Data 0.001 (0.001)	Loss 3.2349 (2.9995)	Prec@1 22.656 (30.169)	Prec@5 57.812 (59.685)
Epoch: [2][10120/14090]	Time 0.742 (0.756)	Data 0.001 (0.001)	Loss 2.8247 (2.9994)	Prec@1 40.625 (30.171)	Prec@5 66.406 (59.685)
Epoch: [2][10130/14090]	Time 0.772 (0.756)	Data 0.001 (0.001)	Loss 2.9023 (2.9994)	Prec@1 31.250 (30.174)	Prec@5 64.844 (59.687)
Epoch: [2][10140/14090]	Time 0.749 (0.756)	Data 0.001 (0.001)	Loss 2.9356 (2.9993)	Prec@1 28.125 (30.176)	Prec@5 60.938 (59.689)
Epoch: [2][10150/14090]	Time 0.784 (0.756)	Data 0.001 (0.001)	Loss 2.9923 (2.9992)	Prec@1 32.812 (30.178)	Prec@5 61.719 (59.690)
Epoch: [2][10160/14090]	Time 0.727 (0.756)	Data 0.001 (0.001)	Loss 3.1539 (2.9992)	Prec@1 31.250 (30.177)	Prec@5 52.344 (59.690)
Epoch: [2][10170/14090]	Time 0.733 (0.756)	Data 0.001 (0.001)	Loss 3.0675 (2.9992)	Prec@1 31.250 (30.177)	Prec@5 58.594 (59.689)
Epoch: [2][10180/14090]	Time 0.782 (0.756)	Data 0.001 (0.001)	Loss 2.9602 (2.9992)	Prec@1 30.469 (30.177)	Prec@5 57.812 (59.690)
Epoch: [2][10190/14090]	Time 0.734 (0.756)	Data 0.001 (0.001)	Loss 3.3499 (2.9991)	Prec@1 22.656 (30.177)	Prec@5 53.906 (59.692)
Epoch: [2][10200/14090]	Time 0.751 (0.756)	Data 0.001 (0.001)	Loss 3.0763 (2.9991)	Prec@1 28.906 (30.179)	Prec@5 56.250 (59.693)
Epoch: [2][10210/14090]	Time 0.732 (0.756)	Data 0.001 (0.001)	Loss 3.1879 (2.9991)	Prec@1 33.594 (30.182)	Prec@5 55.469 (59.694)
Epoch: [2][10220/14090]	Time 0.760 (0.756)	Data 0.001 (0.001)	Loss 2.9435 (2.9991)	Prec@1 33.594 (30.183)	Prec@5 61.719 (59.695)
Epoch: [2][10230/14090]	Time 0.744 (0.756)	Data 0.001 (0.001)	Loss 3.1460 (2.9990)	Prec@1 22.656 (30.184)	Prec@5 55.469 (59.697)
Epoch: [2][10240/14090]	Time 0.747 (0.756)	Data 0.001 (0.001)	Loss 2.8824 (2.9989)	Prec@1 28.906 (30.185)	Prec@5 60.938 (59.697)
Epoch: [2][10250/14090]	Time 0.773 (0.755)	Data 0.001 (0.001)	Loss 3.0093 (2.9989)	Prec@1 28.906 (30.185)	Prec@5 66.406 (59.699)
Epoch: [2][10260/14090]	Time 0.733 (0.755)	Data 0.001 (0.001)	Loss 2.9064 (2.9989)	Prec@1 32.031 (30.184)	Prec@5 60.156 (59.698)
Epoch: [2][10270/14090]	Time 0.756 (0.755)	Data 0.001 (0.001)	Loss 2.8800 (2.9990)	Prec@1 34.375 (30.187)	Prec@5 64.844 (59.698)
Epoch: [2][10280/14090]	Time 0.738 (0.755)	Data 0.001 (0.001)	Loss 2.9074 (2.9989)	Prec@1 30.469 (30.188)	Prec@5 58.594 (59.697)
Epoch: [2][10290/14090]	Time 0.750 (0.755)	Data 0.001 (0.001)	Loss 2.7911 (2.9989)	Prec@1 33.594 (30.187)	Prec@5 62.500 (59.698)
Epoch: [2][10300/14090]	Time 0.819 (0.755)	Data 0.001 (0.001)	Loss 3.0095 (2.9988)	Prec@1 33.594 (30.189)	Prec@5 60.156 (59.701)
Epoch: [2][10310/14090]	Time 0.762 (0.755)	Data 0.001 (0.001)	Loss 2.4997 (2.9987)	Prec@1 42.188 (30.191)	Prec@5 71.094 (59.704)
Epoch: [2][10320/14090]	Time 0.755 (0.755)	Data 0.001 (0.001)	Loss 2.8519 (2.9986)	Prec@1 35.156 (30.192)	Prec@5 60.156 (59.703)
Epoch: [2][10330/14090]	Time 0.742 (0.755)	Data 0.001 (0.001)	Loss 2.8555 (2.9986)	Prec@1 32.812 (30.193)	Prec@5 61.719 (59.704)
Epoch: [2][10340/14090]	Time 0.754 (0.755)	Data 0.001 (0.001)	Loss 2.9646 (2.9986)	Prec@1 30.469 (30.193)	Prec@5 64.844 (59.705)
Epoch: [2][10350/14090]	Time 0.752 (0.755)	Data 0.001 (0.001)	Loss 2.8954 (2.9985)	Prec@1 35.938 (30.195)	Prec@5 61.719 (59.706)
Epoch: [2][10360/14090]	Time 0.765 (0.755)	Data 0.001 (0.001)	Loss 3.0100 (2.9984)	Prec@1 29.688 (30.197)	Prec@5 60.156 (59.709)
Epoch: [2][10370/14090]	Time 0.758 (0.755)	Data 0.001 (0.001)	Loss 2.8371 (2.9984)	Prec@1 35.938 (30.198)	Prec@5 60.938 (59.710)
Epoch: [2][10380/14090]	Time 0.771 (0.755)	Data 0.001 (0.001)	Loss 3.0724 (2.9984)	Prec@1 28.906 (30.201)	Prec@5 54.688 (59.711)
Epoch: [2][10390/14090]	Time 0.760 (0.755)	Data 0.001 (0.001)	Loss 2.9347 (2.9983)	Prec@1 29.688 (30.200)	Prec@5 60.156 (59.712)
Epoch: [2][10400/14090]	Time 0.778 (0.755)	Data 0.001 (0.001)	Loss 2.9636 (2.9982)	Prec@1 32.812 (30.203)	Prec@5 58.594 (59.713)
Epoch: [2][10410/14090]	Time 0.762 (0.755)	Data 0.001 (0.001)	Loss 3.0463 (2.9982)	Prec@1 31.250 (30.202)	Prec@5 55.469 (59.712)
Epoch: [2][10420/14090]	Time 0.747 (0.755)	Data 0.001 (0.001)	Loss 2.7591 (2.9981)	Prec@1 32.812 (30.203)	Prec@5 67.969 (59.714)
Epoch: [2][10430/14090]	Time 0.758 (0.755)	Data 0.001 (0.001)	Loss 2.9806 (2.9981)	Prec@1 28.906 (30.203)	Prec@5 57.031 (59.714)
Epoch: [2][10440/14090]	Time 0.757 (0.755)	Data 0.001 (0.001)	Loss 2.8792 (2.9980)	Prec@1 30.469 (30.203)	Prec@5 64.844 (59.713)
Epoch: [2][10450/14090]	Time 0.750 (0.755)	Data 0.001 (0.001)	Loss 2.8616 (2.9979)	Prec@1 31.250 (30.206)	Prec@5 60.938 (59.714)
Epoch: [2][10460/14090]	Time 0.763 (0.755)	Data 0.001 (0.001)	Loss 2.9174 (2.9978)	Prec@1 34.375 (30.206)	Prec@5 60.156 (59.716)
Epoch: [2][10470/14090]	Time 0.742 (0.755)	Data 0.001 (0.001)	Loss 2.9609 (2.9978)	Prec@1 26.562 (30.208)	Prec@5 58.594 (59.718)
Epoch: [2][10480/14090]	Time 0.738 (0.755)	Data 0.001 (0.001)	Loss 3.0080 (2.9977)	Prec@1 29.688 (30.209)	Prec@5 60.156 (59.718)
Epoch: [2][10490/14090]	Time 0.759 (0.755)	Data 0.001 (0.001)	Loss 2.9981 (2.9976)	Prec@1 28.125 (30.208)	Prec@5 60.938 (59.720)
Epoch: [2][10500/14090]	Time 0.767 (0.755)	Data 0.001 (0.001)	Loss 3.1647 (2.9976)	Prec@1 28.906 (30.208)	Prec@5 57.031 (59.720)
Epoch: [2][10510/14090]	Time 0.731 (0.755)	Data 0.001 (0.001)	Loss 2.8062 (2.9977)	Prec@1 32.812 (30.207)	Prec@5 61.719 (59.721)
Epoch: [2][10520/14090]	Time 0.761 (0.755)	Data 0.001 (0.001)	Loss 2.7966 (2.9975)	Prec@1 31.250 (30.211)	Prec@5 62.500 (59.723)
Epoch: [2][10530/14090]	Time 0.750 (0.755)	Data 0.001 (0.001)	Loss 2.6629 (2.9975)	Prec@1 32.031 (30.211)	Prec@5 66.406 (59.723)
Epoch: [2][10540/14090]	Time 0.760 (0.755)	Data 0.001 (0.001)	Loss 2.8425 (2.9974)	Prec@1 31.250 (30.211)	Prec@5 62.500 (59.724)
Epoch: [2][10550/14090]	Time 0.782 (0.755)	Data 0.001 (0.001)	Loss 2.9509 (2.9973)	Prec@1 28.906 (30.211)	Prec@5 64.062 (59.726)
Epoch: [2][10560/14090]	Time 0.748 (0.755)	Data 0.001 (0.001)	Loss 2.6133 (2.9973)	Prec@1 37.500 (30.210)	Prec@5 69.531 (59.726)
Epoch: [2][10570/14090]	Time 0.744 (0.755)	Data 0.001 (0.001)	Loss 2.9086 (2.9973)	Prec@1 35.156 (30.208)	Prec@5 56.250 (59.724)
Epoch: [2][10580/14090]	Time 0.746 (0.755)	Data 0.001 (0.001)	Loss 2.9976 (2.9973)	Prec@1 30.469 (30.209)	Prec@5 57.031 (59.727)
Epoch: [2][10590/14090]	Time 0.758 (0.755)	Data 0.001 (0.001)	Loss 3.0803 (2.9973)	Prec@1 32.031 (30.208)	Prec@5 56.250 (59.725)
Epoch: [2][10600/14090]	Time 0.747 (0.755)	Data 0.001 (0.001)	Loss 2.8961 (2.9972)	Prec@1 31.250 (30.209)	Prec@5 60.938 (59.728)
Epoch: [2][10610/14090]	Time 0.757 (0.755)	Data 0.001 (0.001)	Loss 2.8877 (2.9973)	Prec@1 25.781 (30.209)	Prec@5 61.719 (59.726)
Epoch: [2][10620/14090]	Time 0.723 (0.755)	Data 0.001 (0.001)	Loss 2.8453 (2.9972)	Prec@1 34.375 (30.211)	Prec@5 65.625 (59.727)
Epoch: [2][10630/14090]	Time 0.749 (0.755)	Data 0.001 (0.001)	Loss 3.0289 (2.9971)	Prec@1 28.906 (30.211)	Prec@5 56.250 (59.730)
Epoch: [2][10640/14090]	Time 0.733 (0.755)	Data 0.001 (0.001)	Loss 2.4257 (2.9970)	Prec@1 43.750 (30.212)	Prec@5 74.219 (59.731)
Epoch: [2][10650/14090]	Time 0.764 (0.755)	Data 0.001 (0.001)	Loss 3.3272 (2.9970)	Prec@1 26.562 (30.213)	Prec@5 53.125 (59.731)
Epoch: [2][10660/14090]	Time 0.758 (0.755)	Data 0.001 (0.001)	Loss 2.9670 (2.9970)	Prec@1 30.469 (30.213)	Prec@5 58.594 (59.732)
Epoch: [2][10670/14090]	Time 0.749 (0.755)	Data 0.001 (0.001)	Loss 2.6728 (2.9969)	Prec@1 39.844 (30.215)	Prec@5 68.750 (59.734)
Epoch: [2][10680/14090]	Time 0.774 (0.755)	Data 0.001 (0.001)	Loss 3.0250 (2.9968)	Prec@1 28.906 (30.216)	Prec@5 59.375 (59.736)
Epoch: [2][10690/14090]	Time 0.738 (0.755)	Data 0.001 (0.001)	Loss 3.1603 (2.9968)	Prec@1 32.031 (30.215)	Prec@5 60.938 (59.737)
Epoch: [2][10700/14090]	Time 0.778 (0.755)	Data 0.001 (0.001)	Loss 2.6922 (2.9968)	Prec@1 31.250 (30.215)	Prec@5 67.969 (59.736)
Epoch: [2][10710/14090]	Time 0.753 (0.755)	Data 0.001 (0.001)	Loss 2.8879 (2.9968)	Prec@1 38.281 (30.215)	Prec@5 62.500 (59.737)
Epoch: [2][10720/14090]	Time 0.743 (0.755)	Data 0.001 (0.001)	Loss 3.2456 (2.9966)	Prec@1 24.219 (30.216)	Prec@5 52.344 (59.739)
Epoch: [2][10730/14090]	Time 0.735 (0.755)	Data 0.001 (0.001)	Loss 3.0008 (2.9966)	Prec@1 28.906 (30.219)	Prec@5 58.594 (59.739)
Epoch: [2][10740/14090]	Time 0.749 (0.755)	Data 0.001 (0.001)	Loss 3.0442 (2.9966)	Prec@1 32.031 (30.218)	Prec@5 56.250 (59.740)
Epoch: [2][10750/14090]	Time 0.749 (0.755)	Data 0.001 (0.001)	Loss 2.9585 (2.9965)	Prec@1 30.469 (30.218)	Prec@5 57.031 (59.740)
Epoch: [2][10760/14090]	Time 0.724 (0.755)	Data 0.001 (0.001)	Loss 2.8141 (2.9964)	Prec@1 33.594 (30.220)	Prec@5 61.719 (59.743)
Epoch: [2][10770/14090]	Time 0.753 (0.755)	Data 0.001 (0.001)	Loss 3.2501 (2.9964)	Prec@1 26.562 (30.222)	Prec@5 56.250 (59.743)
Epoch: [2][10780/14090]	Time 0.747 (0.755)	Data 0.001 (0.001)	Loss 2.9323 (2.9963)	Prec@1 32.031 (30.222)	Prec@5 60.156 (59.745)
Epoch: [2][10790/14090]	Time 0.739 (0.755)	Data 0.001 (0.001)	Loss 3.0843 (2.9963)	Prec@1 31.250 (30.221)	Prec@5 57.812 (59.745)
Epoch: [2][10800/14090]	Time 0.741 (0.755)	Data 0.001 (0.001)	Loss 2.8479 (2.9963)	Prec@1 32.812 (30.222)	Prec@5 68.750 (59.746)
Epoch: [2][10810/14090]	Time 0.765 (0.755)	Data 0.001 (0.001)	Loss 3.3376 (2.9963)	Prec@1 23.438 (30.222)	Prec@5 53.906 (59.745)
Epoch: [2][10820/14090]	Time 0.763 (0.755)	Data 0.001 (0.001)	Loss 2.8074 (2.9962)	Prec@1 34.375 (30.225)	Prec@5 63.281 (59.747)
Epoch: [2][10830/14090]	Time 0.735 (0.755)	Data 0.001 (0.001)	Loss 2.7487 (2.9962)	Prec@1 31.250 (30.225)	Prec@5 64.844 (59.749)
Epoch: [2][10840/14090]	Time 0.738 (0.755)	Data 0.001 (0.001)	Loss 3.0592 (2.9961)	Prec@1 24.219 (30.224)	Prec@5 53.906 (59.749)
Epoch: [2][10850/14090]	Time 0.785 (0.755)	Data 0.001 (0.001)	Loss 2.6357 (2.9961)	Prec@1 39.062 (30.224)	Prec@5 71.875 (59.751)
Epoch: [2][10860/14090]	Time 0.758 (0.755)	Data 0.001 (0.001)	Loss 3.1674 (2.9961)	Prec@1 28.125 (30.224)	Prec@5 53.125 (59.751)
Epoch: [2][10870/14090]	Time 0.740 (0.755)	Data 0.001 (0.001)	Loss 2.7785 (2.9961)	Prec@1 34.375 (30.224)	Prec@5 67.188 (59.753)
Epoch: [2][10880/14090]	Time 0.743 (0.755)	Data 0.001 (0.001)	Loss 2.8148 (2.9961)	Prec@1 32.812 (30.223)	Prec@5 68.750 (59.755)
Epoch: [2][10890/14090]	Time 0.777 (0.755)	Data 0.001 (0.001)	Loss 3.0339 (2.9960)	Prec@1 26.562 (30.224)	Prec@5 57.812 (59.756)
Epoch: [2][10900/14090]	Time 0.743 (0.755)	Data 0.001 (0.001)	Loss 2.9388 (2.9960)	Prec@1 28.125 (30.222)	Prec@5 57.812 (59.755)
Epoch: [2][10910/14090]	Time 0.742 (0.755)	Data 0.001 (0.001)	Loss 3.0744 (2.9960)	Prec@1 29.688 (30.223)	Prec@5 59.375 (59.756)
Epoch: [2][10920/14090]	Time 0.759 (0.755)	Data 0.001 (0.001)	Loss 2.9774 (2.9960)	Prec@1 28.125 (30.223)	Prec@5 60.156 (59.758)
Epoch: [2][10930/14090]	Time 0.759 (0.755)	Data 0.001 (0.001)	Loss 2.9429 (2.9960)	Prec@1 29.688 (30.222)	Prec@5 60.156 (59.759)
Epoch: [2][10940/14090]	Time 0.750 (0.755)	Data 0.001 (0.001)	Loss 2.8470 (2.9960)	Prec@1 28.125 (30.221)	Prec@5 60.156 (59.758)
Epoch: [2][10950/14090]	Time 0.743 (0.755)	Data 0.001 (0.001)	Loss 3.2383 (2.9960)	Prec@1 25.000 (30.221)	Prec@5 57.031 (59.757)
Epoch: [2][10960/14090]	Time 0.760 (0.755)	Data 0.001 (0.001)	Loss 2.8806 (2.9960)	Prec@1 32.031 (30.220)	Prec@5 63.281 (59.758)
Epoch: [2][10970/14090]	Time 0.750 (0.755)	Data 0.001 (0.001)	Loss 3.2018 (2.9961)	Prec@1 32.812 (30.220)	Prec@5 60.156 (59.757)
Epoch: [2][10980/14090]	Time 0.781 (0.755)	Data 0.001 (0.001)	Loss 2.9526 (2.9960)	Prec@1 33.594 (30.221)	Prec@5 61.719 (59.760)
Epoch: [2][10990/14090]	Time 0.762 (0.755)	Data 0.001 (0.001)	Loss 3.0055 (2.9960)	Prec@1 23.438 (30.220)	Prec@5 63.281 (59.761)
Epoch: [2][11000/14090]	Time 0.781 (0.755)	Data 0.001 (0.001)	Loss 2.6635 (2.9960)	Prec@1 35.938 (30.221)	Prec@5 67.969 (59.761)
Epoch: [2][11010/14090]	Time 0.731 (0.755)	Data 0.001 (0.001)	Loss 3.1312 (2.9961)	Prec@1 24.219 (30.221)	Prec@5 53.906 (59.760)
Epoch: [2][11020/14090]	Time 0.759 (0.755)	Data 0.001 (0.001)	Loss 3.0861 (2.9961)	Prec@1 27.344 (30.220)	Prec@5 57.812 (59.759)
Epoch: [2][11030/14090]	Time 0.765 (0.755)	Data 0.001 (0.001)	Loss 2.7500 (2.9960)	Prec@1 33.594 (30.221)	Prec@5 64.062 (59.759)
Epoch: [2][11040/14090]	Time 0.756 (0.755)	Data 0.001 (0.001)	Loss 2.7284 (2.9959)	Prec@1 29.688 (30.223)	Prec@5 67.188 (59.762)
Epoch: [2][11050/14090]	Time 0.761 (0.755)	Data 0.001 (0.001)	Loss 2.9986 (2.9960)	Prec@1 33.594 (30.222)	Prec@5 64.844 (59.762)
Epoch: [2][11060/14090]	Time 0.768 (0.755)	Data 0.001 (0.001)	Loss 3.0923 (2.9959)	Prec@1 29.688 (30.223)	Prec@5 57.031 (59.763)
Epoch: [2][11070/14090]	Time 0.746 (0.755)	Data 0.001 (0.001)	Loss 3.0867 (2.9959)	Prec@1 31.250 (30.225)	Prec@5 57.812 (59.764)
Epoch: [2][11080/14090]	Time 0.749 (0.755)	Data 0.001 (0.001)	Loss 3.1721 (2.9959)	Prec@1 31.250 (30.225)	Prec@5 53.906 (59.763)
Epoch: [2][11090/14090]	Time 0.756 (0.755)	Data 0.001 (0.001)	Loss 2.9561 (2.9960)	Prec@1 34.375 (30.223)	Prec@5 59.375 (59.760)
Epoch: [2][11100/14090]	Time 0.758 (0.755)	Data 0.001 (0.001)	Loss 3.1341 (2.9960)	Prec@1 28.125 (30.223)	Prec@5 56.250 (59.758)
Epoch: [2][11110/14090]	Time 0.744 (0.755)	Data 0.001 (0.001)	Loss 3.2576 (2.9960)	Prec@1 25.781 (30.223)	Prec@5 56.250 (59.759)
Epoch: [2][11120/14090]	Time 0.744 (0.755)	Data 0.001 (0.001)	Loss 2.8167 (2.9960)	Prec@1 32.812 (30.223)	Prec@5 64.062 (59.760)
Epoch: [2][11130/14090]	Time 0.746 (0.755)	Data 0.001 (0.001)	Loss 2.9436 (2.9959)	Prec@1 31.250 (30.222)	Prec@5 60.156 (59.760)
Epoch: [2][11140/14090]	Time 0.768 (0.755)	Data 0.001 (0.001)	Loss 2.7221 (2.9959)	Prec@1 32.812 (30.223)	Prec@5 65.625 (59.760)
Epoch: [2][11150/14090]	Time 0.777 (0.755)	Data 0.001 (0.001)	Loss 3.0868 (2.9959)	Prec@1 31.250 (30.222)	Prec@5 59.375 (59.759)
Epoch: [2][11160/14090]	Time 0.746 (0.755)	Data 0.001 (0.001)	Loss 2.7635 (2.9959)	Prec@1 33.594 (30.222)	Prec@5 60.156 (59.758)
Epoch: [2][11170/14090]	Time 0.740 (0.755)	Data 0.001 (0.001)	Loss 2.9512 (2.9959)	Prec@1 27.344 (30.223)	Prec@5 58.594 (59.758)
Epoch: [2][11180/14090]	Time 0.751 (0.755)	Data 0.002 (0.001)	Loss 2.7486 (2.9958)	Prec@1 29.688 (30.224)	Prec@5 64.844 (59.759)
Epoch: [2][11190/14090]	Time 0.742 (0.755)	Data 0.001 (0.001)	Loss 3.2968 (2.9958)	Prec@1 28.125 (30.223)	Prec@5 57.812 (59.760)
Epoch: [2][11200/14090]	Time 0.745 (0.755)	Data 0.001 (0.001)	Loss 2.6436 (2.9957)	Prec@1 35.156 (30.224)	Prec@5 66.406 (59.760)
Epoch: [2][11210/14090]	Time 0.764 (0.755)	Data 0.001 (0.001)	Loss 3.0110 (2.9957)	Prec@1 28.125 (30.226)	Prec@5 60.156 (59.761)
Epoch: [2][11220/14090]	Time 0.769 (0.755)	Data 0.001 (0.001)	Loss 2.5040 (2.9957)	Prec@1 38.281 (30.224)	Prec@5 71.094 (59.763)
Epoch: [2][11230/14090]	Time 0.752 (0.755)	Data 0.001 (0.001)	Loss 3.1058 (2.9957)	Prec@1 25.000 (30.225)	Prec@5 55.469 (59.762)
Epoch: [2][11240/14090]	Time 0.754 (0.755)	Data 0.001 (0.001)	Loss 2.9472 (2.9957)	Prec@1 30.469 (30.224)	Prec@5 59.375 (59.761)
Epoch: [2][11250/14090]	Time 0.758 (0.755)	Data 0.001 (0.001)	Loss 3.0084 (2.9956)	Prec@1 28.906 (30.227)	Prec@5 53.125 (59.762)
Epoch: [2][11260/14090]	Time 0.764 (0.755)	Data 0.001 (0.001)	Loss 3.0576 (2.9956)	Prec@1 28.125 (30.225)	Prec@5 57.812 (59.763)
Epoch: [2][11270/14090]	Time 0.752 (0.755)	Data 0.001 (0.001)	Loss 3.2004 (2.9956)	Prec@1 25.781 (30.224)	Prec@5 59.375 (59.764)
Epoch: [2][11280/14090]	Time 0.756 (0.755)	Data 0.001 (0.001)	Loss 3.3884 (2.9956)	Prec@1 19.531 (30.224)	Prec@5 53.906 (59.764)
Epoch: [2][11290/14090]	Time 0.759 (0.755)	Data 0.001 (0.001)	Loss 3.1641 (2.9957)	Prec@1 28.125 (30.224)	Prec@5 62.500 (59.764)
Epoch: [2][11300/14090]	Time 0.756 (0.755)	Data 0.001 (0.001)	Loss 2.9251 (2.9957)	Prec@1 29.688 (30.224)	Prec@5 60.938 (59.764)
Epoch: [2][11310/14090]	Time 0.735 (0.755)	Data 0.001 (0.001)	Loss 2.9558 (2.9956)	Prec@1 28.906 (30.224)	Prec@5 59.375 (59.764)
Epoch: [2][11320/14090]	Time 0.755 (0.755)	Data 0.001 (0.001)	Loss 3.0125 (2.9955)	Prec@1 28.906 (30.225)	Prec@5 54.688 (59.766)
Epoch: [2][11330/14090]	Time 0.762 (0.755)	Data 0.001 (0.001)	Loss 2.7145 (2.9954)	Prec@1 31.250 (30.225)	Prec@5 64.844 (59.766)
Epoch: [2][11340/14090]	Time 0.761 (0.755)	Data 0.001 (0.001)	Loss 3.2280 (2.9955)	Prec@1 25.000 (30.223)	Prec@5 51.562 (59.765)
Epoch: [2][11350/14090]	Time 0.726 (0.755)	Data 0.001 (0.001)	Loss 2.9790 (2.9955)	Prec@1 29.688 (30.223)	Prec@5 59.375 (59.766)
Epoch: [2][11360/14090]	Time 0.741 (0.755)	Data 0.001 (0.001)	Loss 3.1468 (2.9955)	Prec@1 30.469 (30.224)	Prec@5 53.125 (59.764)
Epoch: [2][11370/14090]	Time 0.733 (0.755)	Data 0.001 (0.001)	Loss 2.8614 (2.9954)	Prec@1 31.250 (30.225)	Prec@5 62.500 (59.765)
Epoch: [2][11380/14090]	Time 0.729 (0.755)	Data 0.001 (0.001)	Loss 2.9313 (2.9953)	Prec@1 35.938 (30.229)	Prec@5 59.375 (59.765)
Epoch: [2][11390/14090]	Time 0.759 (0.755)	Data 0.001 (0.001)	Loss 2.6146 (2.9953)	Prec@1 33.594 (30.230)	Prec@5 67.188 (59.766)
Epoch: [2][11400/14090]	Time 0.732 (0.755)	Data 0.001 (0.001)	Loss 2.9823 (2.9953)	Prec@1 30.469 (30.231)	Prec@5 61.719 (59.766)
Epoch: [2][11410/14090]	Time 0.768 (0.755)	Data 0.001 (0.001)	Loss 3.1004 (2.9954)	Prec@1 25.000 (30.230)	Prec@5 58.594 (59.764)
Epoch: [2][11420/14090]	Time 0.738 (0.755)	Data 0.001 (0.001)	Loss 2.9821 (2.9954)	Prec@1 32.031 (30.232)	Prec@5 56.250 (59.765)
Epoch: [2][11430/14090]	Time 0.750 (0.755)	Data 0.001 (0.001)	Loss 2.8358 (2.9954)	Prec@1 36.719 (30.232)	Prec@5 60.938 (59.764)
Epoch: [2][11440/14090]	Time 0.753 (0.755)	Data 0.001 (0.001)	Loss 2.7855 (2.9953)	Prec@1 36.719 (30.233)	Prec@5 60.156 (59.765)
Epoch: [2][11450/14090]	Time 0.752 (0.755)	Data 0.001 (0.001)	Loss 2.8328 (2.9953)	Prec@1 33.594 (30.233)	Prec@5 66.406 (59.767)
Epoch: [2][11460/14090]	Time 0.745 (0.755)	Data 0.001 (0.001)	Loss 3.0183 (2.9952)	Prec@1 28.906 (30.234)	Prec@5 61.719 (59.768)
Epoch: [2][11470/14090]	Time 0.729 (0.755)	Data 0.001 (0.001)	Loss 3.1120 (2.9953)	Prec@1 28.906 (30.234)	Prec@5 57.812 (59.769)
Epoch: [2][11480/14090]	Time 0.754 (0.755)	Data 0.001 (0.001)	Loss 2.8252 (2.9951)	Prec@1 34.375 (30.236)	Prec@5 66.406 (59.770)
Epoch: [2][11490/14090]	Time 0.753 (0.755)	Data 0.001 (0.001)	Loss 2.9192 (2.9951)	Prec@1 32.812 (30.237)	Prec@5 62.500 (59.771)
Epoch: [2][11500/14090]	Time 0.758 (0.755)	Data 0.001 (0.001)	Loss 3.1100 (2.9951)	Prec@1 29.688 (30.237)	Prec@5 57.031 (59.771)
Epoch: [2][11510/14090]	Time 0.764 (0.755)	Data 0.001 (0.001)	Loss 2.8988 (2.9950)	Prec@1 29.688 (30.238)	Prec@5 64.062 (59.773)
Epoch: [2][11520/14090]	Time 0.762 (0.755)	Data 0.001 (0.001)	Loss 2.5872 (2.9949)	Prec@1 31.250 (30.237)	Prec@5 67.969 (59.775)
Epoch: [2][11530/14090]	Time 0.748 (0.755)	Data 0.001 (0.001)	Loss 2.7410 (2.9949)	Prec@1 32.812 (30.238)	Prec@5 64.844 (59.776)
Epoch: [2][11540/14090]	Time 0.746 (0.755)	Data 0.001 (0.001)	Loss 2.8923 (2.9948)	Prec@1 32.812 (30.239)	Prec@5 66.406 (59.779)
Epoch: [2][11550/14090]	Time 0.763 (0.755)	Data 0.001 (0.001)	Loss 2.9344 (2.9948)	Prec@1 35.156 (30.238)	Prec@5 61.719 (59.779)
Epoch: [2][11560/14090]	Time 0.748 (0.755)	Data 0.001 (0.001)	Loss 2.8583 (2.9948)	Prec@1 35.156 (30.238)	Prec@5 68.750 (59.781)
Epoch: [2][11570/14090]	Time 0.751 (0.755)	Data 0.001 (0.001)	Loss 2.9311 (2.9947)	Prec@1 29.688 (30.239)	Prec@5 60.156 (59.782)
Epoch: [2][11580/14090]	Time 0.775 (0.755)	Data 0.001 (0.001)	Loss 3.0024 (2.9947)	Prec@1 28.906 (30.240)	Prec@5 60.938 (59.783)
Epoch: [2][11590/14090]	Time 0.759 (0.755)	Data 0.001 (0.001)	Loss 3.0752 (2.9946)	Prec@1 30.469 (30.241)	Prec@5 57.812 (59.784)
Epoch: [2][11600/14090]	Time 0.767 (0.755)	Data 0.001 (0.001)	Loss 2.9968 (2.9946)	Prec@1 31.250 (30.242)	Prec@5 57.812 (59.785)
Epoch: [2][11610/14090]	Time 0.760 (0.755)	Data 0.001 (0.001)	Loss 2.5930 (2.9946)	Prec@1 37.500 (30.241)	Prec@5 65.625 (59.784)
Epoch: [2][11620/14090]	Time 0.751 (0.755)	Data 0.001 (0.001)	Loss 2.7384 (2.9946)	Prec@1 31.250 (30.241)	Prec@5 66.406 (59.783)
Epoch: [2][11630/14090]	Time 0.764 (0.755)	Data 0.001 (0.001)	Loss 3.1038 (2.9946)	Prec@1 25.000 (30.242)	Prec@5 56.250 (59.783)
Epoch: [2][11640/14090]	Time 0.742 (0.755)	Data 0.001 (0.001)	Loss 2.9197 (2.9946)	Prec@1 37.500 (30.243)	Prec@5 60.938 (59.782)
Epoch: [2][11650/14090]	Time 0.772 (0.755)	Data 0.001 (0.001)	Loss 3.0946 (2.9946)	Prec@1 30.469 (30.244)	Prec@5 57.812 (59.785)
Epoch: [2][11660/14090]	Time 0.746 (0.755)	Data 0.001 (0.001)	Loss 3.0050 (2.9946)	Prec@1 35.156 (30.244)	Prec@5 53.906 (59.783)
Epoch: [2][11670/14090]	Time 0.746 (0.755)	Data 0.001 (0.001)	Loss 2.9457 (2.9946)	Prec@1 28.125 (30.245)	Prec@5 59.375 (59.783)
Epoch: [2][11680/14090]	Time 0.745 (0.755)	Data 0.001 (0.001)	Loss 2.8633 (2.9946)	Prec@1 30.469 (30.245)	Prec@5 62.500 (59.784)
Epoch: [2][11690/14090]	Time 0.755 (0.755)	Data 0.001 (0.001)	Loss 2.7694 (2.9946)	Prec@1 35.156 (30.245)	Prec@5 67.188 (59.784)
Epoch: [2][11700/14090]	Time 0.764 (0.755)	Data 0.001 (0.001)	Loss 3.1682 (2.9946)	Prec@1 26.562 (30.245)	Prec@5 58.594 (59.784)
Epoch: [2][11710/14090]	Time 0.753 (0.755)	Data 0.001 (0.001)	Loss 2.9605 (2.9946)	Prec@1 35.156 (30.245)	Prec@5 57.031 (59.783)
Epoch: [2][11720/14090]	Time 0.758 (0.755)	Data 0.001 (0.001)	Loss 2.9688 (2.9945)	Prec@1 30.469 (30.246)	Prec@5 57.031 (59.784)
Epoch: [2][11730/14090]	Time 0.747 (0.755)	Data 0.001 (0.001)	Loss 2.7316 (2.9945)	Prec@1 34.375 (30.245)	Prec@5 68.750 (59.785)
Epoch: [2][11740/14090]	Time 0.745 (0.755)	Data 0.001 (0.001)	Loss 3.1439 (2.9946)	Prec@1 28.906 (30.246)	Prec@5 52.344 (59.783)
Epoch: [2][11750/14090]	Time 0.744 (0.755)	Data 0.001 (0.001)	Loss 2.9816 (2.9945)	Prec@1 27.344 (30.246)	Prec@5 54.688 (59.783)
Epoch: [2][11760/14090]	Time 0.734 (0.755)	Data 0.001 (0.001)	Loss 2.7622 (2.9945)	Prec@1 32.031 (30.246)	Prec@5 62.500 (59.783)
Epoch: [2][11770/14090]	Time 0.766 (0.755)	Data 0.001 (0.001)	Loss 3.2329 (2.9944)	Prec@1 28.125 (30.248)	Prec@5 50.781 (59.785)
Epoch: [2][11780/14090]	Time 0.783 (0.755)	Data 0.001 (0.001)	Loss 3.1751 (2.9945)	Prec@1 28.125 (30.248)	Prec@5 59.375 (59.785)
Epoch: [2][11790/14090]	Time 0.761 (0.755)	Data 0.001 (0.001)	Loss 3.0274 (2.9944)	Prec@1 37.500 (30.251)	Prec@5 61.719 (59.786)
Epoch: [2][11800/14090]	Time 0.750 (0.755)	Data 0.001 (0.001)	Loss 3.1351 (2.9944)	Prec@1 27.344 (30.251)	Prec@5 57.812 (59.786)
Epoch: [2][11810/14090]	Time 0.747 (0.755)	Data 0.001 (0.001)	Loss 3.1060 (2.9944)	Prec@1 31.250 (30.252)	Prec@5 62.500 (59.788)
Epoch: [2][11820/14090]	Time 0.731 (0.755)	Data 0.001 (0.001)	Loss 3.1071 (2.9943)	Prec@1 28.125 (30.252)	Prec@5 57.812 (59.789)
Epoch: [2][11830/14090]	Time 0.749 (0.755)	Data 0.001 (0.001)	Loss 3.0880 (2.9943)	Prec@1 26.562 (30.255)	Prec@5 57.812 (59.790)
Epoch: [2][11840/14090]	Time 0.739 (0.755)	Data 0.001 (0.001)	Loss 3.2644 (2.9942)	Prec@1 24.219 (30.254)	Prec@5 53.906 (59.791)
Epoch: [2][11850/14090]	Time 0.751 (0.755)	Data 0.001 (0.001)	Loss 2.7644 (2.9942)	Prec@1 35.156 (30.255)	Prec@5 66.406 (59.791)
Epoch: [2][11860/14090]	Time 0.732 (0.755)	Data 0.001 (0.001)	Loss 2.9942 (2.9942)	Prec@1 30.469 (30.256)	Prec@5 57.812 (59.792)
Epoch: [2][11870/14090]	Time 0.759 (0.755)	Data 0.001 (0.001)	Loss 3.0767 (2.9942)	Prec@1 32.812 (30.257)	Prec@5 57.031 (59.792)
Epoch: [2][11880/14090]	Time 0.757 (0.755)	Data 0.001 (0.001)	Loss 3.0472 (2.9941)	Prec@1 31.250 (30.258)	Prec@5 58.594 (59.795)
Epoch: [2][11890/14090]	Time 0.756 (0.755)	Data 0.001 (0.001)	Loss 2.7622 (2.9941)	Prec@1 36.719 (30.259)	Prec@5 61.719 (59.796)
Epoch: [2][11900/14090]	Time 0.731 (0.755)	Data 0.001 (0.001)	Loss 3.0949 (2.9940)	Prec@1 33.594 (30.263)	Prec@5 61.719 (59.799)
Epoch: [2][11910/14090]	Time 0.748 (0.755)	Data 0.001 (0.001)	Loss 2.9025 (2.9939)	Prec@1 30.469 (30.265)	Prec@5 61.719 (59.801)
Epoch: [2][11920/14090]	Time 0.771 (0.755)	Data 0.001 (0.001)	Loss 3.1512 (2.9939)	Prec@1 25.781 (30.265)	Prec@5 57.031 (59.799)
Epoch: [2][11930/14090]	Time 0.767 (0.755)	Data 0.001 (0.001)	Loss 2.8123 (2.9939)	Prec@1 32.031 (30.267)	Prec@5 61.719 (59.798)
Epoch: [2][11940/14090]	Time 0.754 (0.755)	Data 0.001 (0.001)	Loss 2.8256 (2.9939)	Prec@1 32.812 (30.267)	Prec@5 62.500 (59.799)
Epoch: [2][11950/14090]	Time 0.756 (0.755)	Data 0.001 (0.001)	Loss 2.8385 (2.9939)	Prec@1 35.156 (30.268)	Prec@5 64.062 (59.798)
Epoch: [2][11960/14090]	Time 0.740 (0.755)	Data 0.001 (0.001)	Loss 2.5647 (2.9937)	Prec@1 33.594 (30.271)	Prec@5 64.844 (59.801)
Epoch: [2][11970/14090]	Time 0.755 (0.755)	Data 0.001 (0.001)	Loss 3.0778 (2.9937)	Prec@1 33.594 (30.271)	Prec@5 53.125 (59.800)
Epoch: [2][11980/14090]	Time 0.765 (0.755)	Data 0.001 (0.001)	Loss 2.7632 (2.9937)	Prec@1 35.156 (30.271)	Prec@5 64.844 (59.800)
Epoch: [2][11990/14090]	Time 0.772 (0.755)	Data 0.001 (0.001)	Loss 3.1569 (2.9937)	Prec@1 23.438 (30.269)	Prec@5 57.812 (59.799)
Epoch: [2][12000/14090]	Time 0.751 (0.755)	Data 0.001 (0.001)	Loss 2.9780 (2.9937)	Prec@1 35.938 (30.270)	Prec@5 59.375 (59.800)
Epoch: [2][12010/14090]	Time 0.778 (0.755)	Data 0.001 (0.001)	Loss 2.7656 (2.9935)	Prec@1 32.812 (30.272)	Prec@5 60.156 (59.802)
Epoch: [2][12020/14090]	Time 0.737 (0.755)	Data 0.001 (0.001)	Loss 3.2056 (2.9935)	Prec@1 30.469 (30.273)	Prec@5 60.156 (59.803)
Epoch: [2][12030/14090]	Time 0.755 (0.755)	Data 0.001 (0.001)	Loss 2.8010 (2.9935)	Prec@1 38.281 (30.275)	Prec@5 62.500 (59.803)
Epoch: [2][12040/14090]	Time 0.777 (0.755)	Data 0.001 (0.001)	Loss 2.9298 (2.9934)	Prec@1 31.250 (30.277)	Prec@5 59.375 (59.806)
Epoch: [2][12050/14090]	Time 0.805 (0.755)	Data 0.001 (0.001)	Loss 2.9203 (2.9934)	Prec@1 34.375 (30.277)	Prec@5 60.156 (59.807)
Epoch: [2][12060/14090]	Time 0.747 (0.755)	Data 0.001 (0.001)	Loss 3.0424 (2.9934)	Prec@1 31.250 (30.277)	Prec@5 57.031 (59.807)
Epoch: [2][12070/14090]	Time 0.747 (0.755)	Data 0.001 (0.001)	Loss 3.1906 (2.9933)	Prec@1 25.000 (30.278)	Prec@5 56.250 (59.808)
Epoch: [2][12080/14090]	Time 0.753 (0.755)	Data 0.001 (0.001)	Loss 3.0601 (2.9933)	Prec@1 32.031 (30.278)	Prec@5 60.156 (59.808)
Epoch: [2][12090/14090]	Time 0.763 (0.755)	Data 0.001 (0.001)	Loss 2.8297 (2.9933)	Prec@1 32.031 (30.278)	Prec@5 58.594 (59.808)
Epoch: [2][12100/14090]	Time 0.777 (0.755)	Data 0.001 (0.001)	Loss 3.3993 (2.9932)	Prec@1 24.219 (30.279)	Prec@5 47.656 (59.808)
Epoch: [2][12110/14090]	Time 0.775 (0.755)	Data 0.001 (0.001)	Loss 3.2833 (2.9933)	Prec@1 24.219 (30.279)	Prec@5 53.906 (59.807)
Epoch: [2][12120/14090]	Time 0.756 (0.755)	Data 0.001 (0.001)	Loss 2.8226 (2.9932)	Prec@1 33.594 (30.282)	Prec@5 62.500 (59.809)
Epoch: [2][12130/14090]	Time 0.758 (0.755)	Data 0.001 (0.001)	Loss 2.9754 (2.9930)	Prec@1 32.812 (30.285)	Prec@5 60.156 (59.810)
Epoch: [2][12140/14090]	Time 0.762 (0.755)	Data 0.001 (0.001)	Loss 2.8806 (2.9931)	Prec@1 32.031 (30.282)	Prec@5 57.812 (59.809)
Epoch: [2][12150/14090]	Time 0.764 (0.755)	Data 0.001 (0.001)	Loss 2.7608 (2.9930)	Prec@1 29.688 (30.284)	Prec@5 62.500 (59.810)
Epoch: [2][12160/14090]	Time 0.758 (0.755)	Data 0.001 (0.001)	Loss 3.0019 (2.9931)	Prec@1 31.250 (30.283)	Prec@5 58.594 (59.809)
Epoch: [2][12170/14090]	Time 0.741 (0.755)	Data 0.001 (0.001)	Loss 3.1171 (2.9930)	Prec@1 31.250 (30.285)	Prec@5 60.938 (59.810)
Epoch: [2][12180/14090]	Time 0.759 (0.755)	Data 0.001 (0.001)	Loss 3.1984 (2.9931)	Prec@1 25.000 (30.284)	Prec@5 52.344 (59.809)
Epoch: [2][12190/14090]	Time 0.739 (0.755)	Data 0.001 (0.001)	Loss 3.0950 (2.9930)	Prec@1 30.469 (30.285)	Prec@5 56.250 (59.811)
Epoch: [2][12200/14090]	Time 0.762 (0.755)	Data 0.001 (0.001)	Loss 3.0638 (2.9929)	Prec@1 32.031 (30.285)	Prec@5 61.719 (59.814)
Epoch: [2][12210/14090]	Time 0.797 (0.755)	Data 0.001 (0.001)	Loss 2.6815 (2.9928)	Prec@1 35.938 (30.287)	Prec@5 64.062 (59.815)
Epoch: [2][12220/14090]	Time 0.735 (0.755)	Data 0.001 (0.001)	Loss 2.9328 (2.9927)	Prec@1 29.688 (30.287)	Prec@5 57.812 (59.816)
Epoch: [2][12230/14090]	Time 0.738 (0.755)	Data 0.001 (0.001)	Loss 3.1819 (2.9926)	Prec@1 28.125 (30.291)	Prec@5 53.906 (59.817)
Epoch: [2][12240/14090]	Time 0.772 (0.755)	Data 0.001 (0.001)	Loss 2.9731 (2.9926)	Prec@1 32.031 (30.293)	Prec@5 58.594 (59.819)
Epoch: [2][12250/14090]	Time 0.759 (0.755)	Data 0.001 (0.001)	Loss 2.9568 (2.9925)	Prec@1 28.125 (30.292)	Prec@5 58.594 (59.819)
Epoch: [2][12260/14090]	Time 0.754 (0.755)	Data 0.001 (0.001)	Loss 2.9058 (2.9925)	Prec@1 25.000 (30.293)	Prec@5 57.812 (59.820)
Epoch: [2][12270/14090]	Time 0.784 (0.755)	Data 0.001 (0.001)	Loss 2.8315 (2.9924)	Prec@1 34.375 (30.295)	Prec@5 57.031 (59.819)
Epoch: [2][12280/14090]	Time 0.740 (0.755)	Data 0.001 (0.001)	Loss 3.4515 (2.9924)	Prec@1 21.875 (30.295)	Prec@5 50.000 (59.819)
Epoch: [2][12290/14090]	Time 0.746 (0.755)	Data 0.001 (0.001)	Loss 2.9623 (2.9924)	Prec@1 31.250 (30.294)	Prec@5 57.031 (59.818)
Epoch: [2][12300/14090]	Time 0.738 (0.755)	Data 0.001 (0.001)	Loss 2.8021 (2.9924)	Prec@1 32.812 (30.293)	Prec@5 62.500 (59.819)
Epoch: [2][12310/14090]	Time 0.752 (0.755)	Data 0.001 (0.001)	Loss 2.6530 (2.9923)	Prec@1 38.281 (30.295)	Prec@5 71.094 (59.822)
Epoch: [2][12320/14090]	Time 0.774 (0.755)	Data 0.001 (0.001)	Loss 2.8937 (2.9923)	Prec@1 31.250 (30.296)	Prec@5 60.938 (59.822)
Epoch: [2][12330/14090]	Time 0.752 (0.755)	Data 0.001 (0.001)	Loss 2.9607 (2.9922)	Prec@1 28.125 (30.297)	Prec@5 64.062 (59.823)
Epoch: [2][12340/14090]	Time 0.750 (0.755)	Data 0.001 (0.001)	Loss 2.9635 (2.9922)	Prec@1 27.344 (30.297)	Prec@5 60.938 (59.823)
Epoch: [2][12350/14090]	Time 0.752 (0.755)	Data 0.001 (0.001)	Loss 2.4678 (2.9921)	Prec@1 37.500 (30.297)	Prec@5 72.656 (59.824)
Epoch: [2][12360/14090]	Time 0.756 (0.755)	Data 0.001 (0.001)	Loss 3.2846 (2.9921)	Prec@1 24.219 (30.298)	Prec@5 53.906 (59.825)
Epoch: [2][12370/14090]	Time 0.732 (0.755)	Data 0.001 (0.001)	Loss 2.6714 (2.9920)	Prec@1 32.812 (30.300)	Prec@5 69.531 (59.827)
Epoch: [2][12380/14090]	Time 0.753 (0.755)	Data 0.001 (0.001)	Loss 3.1104 (2.9920)	Prec@1 26.562 (30.300)	Prec@5 57.812 (59.828)
Epoch: [2][12390/14090]	Time 0.752 (0.755)	Data 0.001 (0.001)	Loss 2.8648 (2.9919)	Prec@1 32.031 (30.301)	Prec@5 59.375 (59.830)
Epoch: [2][12400/14090]	Time 0.746 (0.755)	Data 0.001 (0.001)	Loss 3.1803 (2.9919)	Prec@1 25.781 (30.302)	Prec@5 60.156 (59.831)
Epoch: [2][12410/14090]	Time 0.747 (0.755)	Data 0.001 (0.001)	Loss 2.9033 (2.9919)	Prec@1 34.375 (30.303)	Prec@5 63.281 (59.832)
Epoch: [2][12420/14090]	Time 0.743 (0.755)	Data 0.001 (0.001)	Loss 2.8575 (2.9918)	Prec@1 31.250 (30.304)	Prec@5 60.938 (59.833)
Epoch: [2][12430/14090]	Time 0.751 (0.755)	Data 0.002 (0.001)	Loss 2.7638 (2.9917)	Prec@1 35.938 (30.305)	Prec@5 65.625 (59.834)
Epoch: [2][12440/14090]	Time 0.739 (0.755)	Data 0.001 (0.001)	Loss 2.7967 (2.9917)	Prec@1 36.719 (30.306)	Prec@5 67.969 (59.836)
Epoch: [2][12450/14090]	Time 0.764 (0.755)	Data 0.001 (0.001)	Loss 2.9407 (2.9917)	Prec@1 30.469 (30.306)	Prec@5 58.594 (59.836)
Epoch: [2][12460/14090]	Time 0.764 (0.755)	Data 0.001 (0.001)	Loss 3.0558 (2.9917)	Prec@1 32.031 (30.307)	Prec@5 56.250 (59.836)
Epoch: [2][12470/14090]	Time 0.750 (0.755)	Data 0.001 (0.001)	Loss 2.4433 (2.9916)	Prec@1 42.188 (30.309)	Prec@5 68.750 (59.838)
Epoch: [2][12480/14090]	Time 0.742 (0.755)	Data 0.001 (0.001)	Loss 3.0205 (2.9916)	Prec@1 30.469 (30.308)	Prec@5 64.844 (59.839)
Epoch: [2][12490/14090]	Time 0.759 (0.755)	Data 0.001 (0.001)	Loss 3.0384 (2.9916)	Prec@1 31.250 (30.307)	Prec@5 55.469 (59.838)
Epoch: [2][12500/14090]	Time 0.763 (0.755)	Data 0.001 (0.001)	Loss 2.8110 (2.9916)	Prec@1 30.469 (30.306)	Prec@5 63.281 (59.837)
Epoch: [2][12510/14090]	Time 0.753 (0.755)	Data 0.001 (0.001)	Loss 2.8492 (2.9915)	Prec@1 32.031 (30.307)	Prec@5 59.375 (59.837)
Epoch: [2][12520/14090]	Time 0.734 (0.755)	Data 0.001 (0.001)	Loss 2.9020 (2.9915)	Prec@1 27.344 (30.308)	Prec@5 59.375 (59.839)
Epoch: [2][12530/14090]	Time 0.749 (0.755)	Data 0.001 (0.001)	Loss 3.0317 (2.9915)	Prec@1 32.031 (30.310)	Prec@5 60.156 (59.839)
Epoch: [2][12540/14090]	Time 0.744 (0.755)	Data 0.001 (0.001)	Loss 2.9430 (2.9915)	Prec@1 31.250 (30.309)	Prec@5 59.375 (59.839)
Epoch: [2][12550/14090]	Time 0.748 (0.755)	Data 0.001 (0.001)	Loss 3.0924 (2.9914)	Prec@1 25.000 (30.310)	Prec@5 55.469 (59.839)
Epoch: [2][12560/14090]	Time 0.743 (0.755)	Data 0.001 (0.001)	Loss 2.7100 (2.9914)	Prec@1 39.844 (30.312)	Prec@5 65.625 (59.840)
Epoch: [2][12570/14090]	Time 0.747 (0.755)	Data 0.001 (0.001)	Loss 3.1971 (2.9913)	Prec@1 19.531 (30.313)	Prec@5 53.906 (59.841)
Epoch: [2][12580/14090]	Time 0.776 (0.755)	Data 0.001 (0.001)	Loss 2.6272 (2.9913)	Prec@1 39.844 (30.313)	Prec@5 70.312 (59.842)
Epoch: [2][12590/14090]	Time 0.749 (0.755)	Data 0.001 (0.001)	Loss 2.9590 (2.9913)	Prec@1 28.125 (30.314)	Prec@5 57.812 (59.843)
Epoch: [2][12600/14090]	Time 0.763 (0.755)	Data 0.001 (0.001)	Loss 3.0601 (2.9912)	Prec@1 32.812 (30.314)	Prec@5 60.938 (59.843)
Epoch: [2][12610/14090]	Time 0.752 (0.755)	Data 0.001 (0.001)	Loss 2.8156 (2.9912)	Prec@1 35.938 (30.316)	Prec@5 64.062 (59.844)
Epoch: [2][12620/14090]	Time 0.791 (0.755)	Data 0.001 (0.001)	Loss 2.9616 (2.9913)	Prec@1 33.594 (30.316)	Prec@5 57.812 (59.842)
Epoch: [2][12630/14090]	Time 0.737 (0.755)	Data 0.001 (0.001)	Loss 3.0419 (2.9912)	Prec@1 32.031 (30.316)	Prec@5 57.031 (59.844)
Epoch: [2][12640/14090]	Time 0.747 (0.755)	Data 0.001 (0.001)	Loss 2.9641 (2.9912)	Prec@1 28.906 (30.316)	Prec@5 58.594 (59.844)
Epoch: [2][12650/14090]	Time 0.735 (0.755)	Data 0.001 (0.001)	Loss 3.1884 (2.9911)	Prec@1 25.781 (30.317)	Prec@5 57.031 (59.845)
Epoch: [2][12660/14090]	Time 0.783 (0.755)	Data 0.001 (0.001)	Loss 3.0482 (2.9911)	Prec@1 26.562 (30.317)	Prec@5 54.688 (59.844)
Epoch: [2][12670/14090]	Time 0.727 (0.755)	Data 0.001 (0.001)	Loss 3.1178 (2.9911)	Prec@1 24.219 (30.315)	Prec@5 54.688 (59.844)
Epoch: [2][12680/14090]	Time 0.756 (0.755)	Data 0.001 (0.001)	Loss 2.7100 (2.9912)	Prec@1 39.062 (30.316)	Prec@5 65.625 (59.844)
Epoch: [2][12690/14090]	Time 0.745 (0.755)	Data 0.001 (0.001)	Loss 2.9372 (2.9911)	Prec@1 28.125 (30.317)	Prec@5 61.719 (59.846)
Epoch: [2][12700/14090]	Time 0.734 (0.755)	Data 0.001 (0.001)	Loss 2.5850 (2.9910)	Prec@1 35.156 (30.319)	Prec@5 68.750 (59.849)
Epoch: [2][12710/14090]	Time 0.783 (0.755)	Data 0.001 (0.001)	Loss 3.1781 (2.9909)	Prec@1 24.219 (30.319)	Prec@5 60.156 (59.849)
Epoch: [2][12720/14090]	Time 0.756 (0.755)	Data 0.001 (0.001)	Loss 2.8562 (2.9909)	Prec@1 29.688 (30.319)	Prec@5 60.156 (59.850)
Epoch: [2][12730/14090]	Time 0.750 (0.755)	Data 0.001 (0.001)	Loss 2.8841 (2.9909)	Prec@1 28.125 (30.319)	Prec@5 62.500 (59.850)
Epoch: [2][12740/14090]	Time 0.744 (0.755)	Data 0.001 (0.001)	Loss 2.7352 (2.9908)	Prec@1 35.938 (30.320)	Prec@5 64.844 (59.853)
Epoch: [2][12750/14090]	Time 0.729 (0.755)	Data 0.001 (0.001)	Loss 2.5060 (2.9908)	Prec@1 36.719 (30.319)	Prec@5 71.094 (59.854)
Epoch: [2][12760/14090]	Time 0.728 (0.755)	Data 0.001 (0.001)	Loss 2.7954 (2.9908)	Prec@1 33.594 (30.319)	Prec@5 63.281 (59.855)
Epoch: [2][12770/14090]	Time 0.759 (0.755)	Data 0.001 (0.001)	Loss 3.1506 (2.9907)	Prec@1 27.344 (30.319)	Prec@5 59.375 (59.857)
Epoch: [2][12780/14090]	Time 0.775 (0.755)	Data 0.001 (0.001)	Loss 3.0649 (2.9907)	Prec@1 40.625 (30.319)	Prec@5 57.812 (59.858)
Epoch: [2][12790/14090]	Time 0.744 (0.755)	Data 0.001 (0.001)	Loss 3.2280 (2.9908)	Prec@1 25.781 (30.319)	Prec@5 56.250 (59.858)
Epoch: [2][12800/14090]	Time 0.761 (0.755)	Data 0.001 (0.001)	Loss 2.9412 (2.9907)	Prec@1 28.125 (30.318)	Prec@5 57.812 (59.858)
Epoch: [2][12810/14090]	Time 0.746 (0.755)	Data 0.001 (0.001)	Loss 3.0230 (2.9907)	Prec@1 34.375 (30.319)	Prec@5 53.906 (59.859)
Epoch: [2][12820/14090]	Time 0.760 (0.755)	Data 0.001 (0.001)	Loss 3.1270 (2.9907)	Prec@1 31.250 (30.320)	Prec@5 61.719 (59.861)
Epoch: [2][12830/14090]	Time 0.753 (0.755)	Data 0.001 (0.001)	Loss 2.8954 (2.9906)	Prec@1 32.812 (30.320)	Prec@5 59.375 (59.863)
Epoch: [2][12840/14090]	Time 0.736 (0.755)	Data 0.001 (0.001)	Loss 2.7461 (2.9906)	Prec@1 32.031 (30.320)	Prec@5 64.844 (59.863)
Epoch: [2][12850/14090]	Time 0.729 (0.755)	Data 0.001 (0.001)	Loss 2.9111 (2.9905)	Prec@1 32.031 (30.319)	Prec@5 60.156 (59.863)
Epoch: [2][12860/14090]	Time 0.747 (0.755)	Data 0.001 (0.001)	Loss 2.8178 (2.9905)	Prec@1 30.469 (30.319)	Prec@5 61.719 (59.864)
Epoch: [2][12870/14090]	Time 0.738 (0.755)	Data 0.001 (0.001)	Loss 2.8448 (2.9905)	Prec@1 34.375 (30.320)	Prec@5 62.500 (59.866)
Epoch: [2][12880/14090]	Time 0.745 (0.755)	Data 0.001 (0.001)	Loss 2.7241 (2.9904)	Prec@1 29.688 (30.321)	Prec@5 67.188 (59.868)
Epoch: [2][12890/14090]	Time 0.749 (0.755)	Data 0.001 (0.001)	Loss 2.9465 (2.9903)	Prec@1 31.250 (30.321)	Prec@5 57.812 (59.868)
Epoch: [2][12900/14090]	Time 0.743 (0.755)	Data 0.001 (0.001)	Loss 2.9361 (2.9903)	Prec@1 32.031 (30.323)	Prec@5 57.812 (59.869)
Epoch: [2][12910/14090]	Time 0.765 (0.755)	Data 0.001 (0.001)	Loss 3.1503 (2.9902)	Prec@1 21.094 (30.324)	Prec@5 54.688 (59.871)
Epoch: [2][12920/14090]	Time 0.769 (0.755)	Data 0.001 (0.001)	Loss 2.8011 (2.9901)	Prec@1 31.250 (30.324)	Prec@5 64.062 (59.872)
Epoch: [2][12930/14090]	Time 0.743 (0.755)	Data 0.001 (0.001)	Loss 2.9679 (2.9901)	Prec@1 33.594 (30.323)	Prec@5 58.594 (59.871)
Epoch: [2][12940/14090]	Time 0.749 (0.755)	Data 0.001 (0.001)	Loss 2.8337 (2.9901)	Prec@1 37.500 (30.324)	Prec@5 66.406 (59.873)
Epoch: [2][12950/14090]	Time 0.761 (0.755)	Data 0.001 (0.001)	Loss 2.7184 (2.9900)	Prec@1 34.375 (30.325)	Prec@5 68.750 (59.874)
Epoch: [2][12960/14090]	Time 0.749 (0.755)	Data 0.001 (0.001)	Loss 2.9739 (2.9900)	Prec@1 33.594 (30.327)	Prec@5 60.156 (59.874)
Epoch: [2][12970/14090]	Time 0.746 (0.755)	Data 0.001 (0.001)	Loss 2.7270 (2.9899)	Prec@1 29.688 (30.327)	Prec@5 64.844 (59.876)
Epoch: [2][12980/14090]	Time 0.736 (0.755)	Data 0.001 (0.001)	Loss 3.1274 (2.9899)	Prec@1 23.438 (30.326)	Prec@5 54.688 (59.876)
Epoch: [2][12990/14090]	Time 0.763 (0.755)	Data 0.001 (0.001)	Loss 2.9082 (2.9899)	Prec@1 26.562 (30.325)	Prec@5 61.719 (59.874)
Epoch: [2][13000/14090]	Time 0.739 (0.755)	Data 0.001 (0.001)	Loss 3.0447 (2.9899)	Prec@1 31.250 (30.326)	Prec@5 59.375 (59.876)
Epoch: [2][13010/14090]	Time 0.764 (0.755)	Data 0.001 (0.001)	Loss 2.8278 (2.9899)	Prec@1 32.031 (30.325)	Prec@5 59.375 (59.876)
Epoch: [2][13020/14090]	Time 0.759 (0.755)	Data 0.001 (0.001)	Loss 2.9331 (2.9898)	Prec@1 29.688 (30.325)	Prec@5 53.906 (59.876)
Epoch: [2][13030/14090]	Time 0.726 (0.755)	Data 0.001 (0.001)	Loss 2.9758 (2.9898)	Prec@1 32.031 (30.326)	Prec@5 59.375 (59.877)
Epoch: [2][13040/14090]	Time 0.768 (0.755)	Data 0.001 (0.001)	Loss 3.0775 (2.9898)	Prec@1 26.562 (30.324)	Prec@5 58.594 (59.876)
Epoch: [2][13050/14090]	Time 0.743 (0.755)	Data 0.001 (0.001)	Loss 2.8404 (2.9898)	Prec@1 34.375 (30.325)	Prec@5 61.719 (59.877)
Epoch: [2][13060/14090]	Time 0.781 (0.755)	Data 0.001 (0.001)	Loss 2.9666 (2.9898)	Prec@1 34.375 (30.326)	Prec@5 60.156 (59.877)
Epoch: [2][13070/14090]	Time 0.775 (0.755)	Data 0.001 (0.001)	Loss 3.1591 (2.9898)	Prec@1 29.688 (30.326)	Prec@5 53.906 (59.877)
Epoch: [2][13080/14090]	Time 0.733 (0.755)	Data 0.001 (0.001)	Loss 2.7002 (2.9897)	Prec@1 38.281 (30.328)	Prec@5 65.625 (59.879)
Epoch: [2][13090/14090]	Time 0.748 (0.755)	Data 0.001 (0.001)	Loss 2.8559 (2.9897)	Prec@1 27.344 (30.327)	Prec@5 61.719 (59.879)
Epoch: [2][13100/14090]	Time 0.752 (0.755)	Data 0.001 (0.001)	Loss 2.9294 (2.9897)	Prec@1 35.938 (30.328)	Prec@5 64.062 (59.880)
Epoch: [2][13110/14090]	Time 0.739 (0.755)	Data 0.001 (0.001)	Loss 2.8762 (2.9896)	Prec@1 31.250 (30.330)	Prec@5 62.500 (59.880)
Epoch: [2][13120/14090]	Time 0.752 (0.755)	Data 0.001 (0.001)	Loss 2.9947 (2.9896)	Prec@1 27.344 (30.331)	Prec@5 61.719 (59.881)
Epoch: [2][13130/14090]	Time 0.750 (0.755)	Data 0.001 (0.001)	Loss 3.3885 (2.9895)	Prec@1 23.438 (30.331)	Prec@5 48.438 (59.882)
Epoch: [2][13140/14090]	Time 0.731 (0.755)	Data 0.001 (0.001)	Loss 2.8725 (2.9895)	Prec@1 32.812 (30.331)	Prec@5 59.375 (59.880)
Epoch: [2][13150/14090]	Time 0.784 (0.755)	Data 0.001 (0.001)	Loss 2.6567 (2.9895)	Prec@1 38.281 (30.331)	Prec@5 65.625 (59.881)
Epoch: [2][13160/14090]	Time 0.733 (0.755)	Data 0.001 (0.001)	Loss 2.9725 (2.9895)	Prec@1 28.906 (30.330)	Prec@5 58.594 (59.881)
Epoch: [2][13170/14090]	Time 0.762 (0.755)	Data 0.001 (0.001)	Loss 3.1659 (2.9895)	Prec@1 28.906 (30.329)	Prec@5 55.469 (59.880)
Epoch: [2][13180/14090]	Time 0.756 (0.755)	Data 0.001 (0.001)	Loss 3.0718 (2.9896)	Prec@1 30.469 (30.329)	Prec@5 60.938 (59.880)
Epoch: [2][13190/14090]	Time 0.752 (0.755)	Data 0.001 (0.001)	Loss 3.0772 (2.9895)	Prec@1 26.562 (30.329)	Prec@5 61.719 (59.881)
Epoch: [2][13200/14090]	Time 0.765 (0.755)	Data 0.001 (0.001)	Loss 2.8393 (2.9896)	Prec@1 35.938 (30.330)	Prec@5 61.719 (59.879)
Epoch: [2][13210/14090]	Time 0.739 (0.755)	Data 0.001 (0.001)	Loss 2.8476 (2.9895)	Prec@1 32.812 (30.331)	Prec@5 64.062 (59.881)
Epoch: [2][13220/14090]	Time 0.742 (0.755)	Data 0.001 (0.001)	Loss 2.9131 (2.9895)	Prec@1 28.906 (30.330)	Prec@5 63.281 (59.881)
Epoch: [2][13230/14090]	Time 0.763 (0.755)	Data 0.001 (0.001)	Loss 3.2245 (2.9895)	Prec@1 25.000 (30.329)	Prec@5 55.469 (59.881)
Epoch: [2][13240/14090]	Time 0.735 (0.755)	Data 0.001 (0.001)	Loss 3.0778 (2.9895)	Prec@1 31.250 (30.329)	Prec@5 57.812 (59.882)
Epoch: [2][13250/14090]	Time 0.756 (0.755)	Data 0.001 (0.001)	Loss 3.0830 (2.9894)	Prec@1 30.469 (30.331)	Prec@5 60.938 (59.884)
Epoch: [2][13260/14090]	Time 0.781 (0.755)	Data 0.001 (0.001)	Loss 2.8910 (2.9894)	Prec@1 28.906 (30.330)	Prec@5 61.719 (59.884)
Epoch: [2][13270/14090]	Time 0.746 (0.755)	Data 0.001 (0.001)	Loss 2.9477 (2.9894)	Prec@1 35.938 (30.331)	Prec@5 64.844 (59.885)
Epoch: [2][13280/14090]	Time 0.753 (0.755)	Data 0.001 (0.001)	Loss 2.8094 (2.9894)	Prec@1 32.031 (30.332)	Prec@5 64.062 (59.885)
Epoch: [2][13290/14090]	Time 0.762 (0.755)	Data 0.001 (0.001)	Loss 3.0619 (2.9893)	Prec@1 25.781 (30.333)	Prec@5 58.594 (59.886)
Epoch: [2][13300/14090]	Time 0.760 (0.755)	Data 0.001 (0.001)	Loss 2.9995 (2.9893)	Prec@1 33.594 (30.334)	Prec@5 57.812 (59.885)
Epoch: [2][13310/14090]	Time 0.732 (0.755)	Data 0.001 (0.001)	Loss 3.0138 (2.9893)	Prec@1 32.812 (30.337)	Prec@5 57.812 (59.887)
Epoch: [2][13320/14090]	Time 0.746 (0.755)	Data 0.001 (0.001)	Loss 3.1591 (2.9892)	Prec@1 28.125 (30.337)	Prec@5 58.594 (59.887)
Epoch: [2][13330/14090]	Time 0.764 (0.755)	Data 0.001 (0.001)	Loss 2.6872 (2.9892)	Prec@1 35.156 (30.337)	Prec@5 67.188 (59.888)
Epoch: [2][13340/14090]	Time 0.750 (0.755)	Data 0.001 (0.001)	Loss 3.0028 (2.9893)	Prec@1 32.031 (30.336)	Prec@5 58.594 (59.887)
Epoch: [2][13350/14090]	Time 0.728 (0.755)	Data 0.001 (0.001)	Loss 2.8497 (2.9893)	Prec@1 38.281 (30.337)	Prec@5 60.938 (59.887)
Epoch: [2][13360/14090]	Time 0.743 (0.755)	Data 0.001 (0.001)	Loss 3.1036 (2.9892)	Prec@1 25.000 (30.337)	Prec@5 57.031 (59.890)
Epoch: [2][13370/14090]	Time 0.754 (0.755)	Data 0.001 (0.001)	Loss 3.0426 (2.9891)	Prec@1 28.125 (30.339)	Prec@5 57.812 (59.891)
Epoch: [2][13380/14090]	Time 0.754 (0.755)	Data 0.001 (0.001)	Loss 2.8886 (2.9890)	Prec@1 33.594 (30.339)	Prec@5 60.938 (59.892)
Epoch: [2][13390/14090]	Time 0.730 (0.755)	Data 0.001 (0.001)	Loss 2.7226 (2.9890)	Prec@1 36.719 (30.340)	Prec@5 62.500 (59.893)
Epoch: [2][13400/14090]	Time 0.753 (0.755)	Data 0.001 (0.001)	Loss 3.1417 (2.9890)	Prec@1 26.562 (30.340)	Prec@5 56.250 (59.894)
Epoch: [2][13410/14090]	Time 0.762 (0.755)	Data 0.001 (0.001)	Loss 3.0262 (2.9889)	Prec@1 31.250 (30.341)	Prec@5 59.375 (59.895)
Epoch: [2][13420/14090]	Time 0.749 (0.755)	Data 0.001 (0.001)	Loss 3.0103 (2.9890)	Prec@1 27.344 (30.339)	Prec@5 63.281 (59.894)
Epoch: [2][13430/14090]	Time 0.732 (0.755)	Data 0.001 (0.001)	Loss 2.8809 (2.9890)	Prec@1 30.469 (30.339)	Prec@5 64.844 (59.894)
Epoch: [2][13440/14090]	Time 0.767 (0.755)	Data 0.001 (0.001)	Loss 2.8889 (2.9890)	Prec@1 32.812 (30.339)	Prec@5 64.844 (59.895)
Epoch: [2][13450/14090]	Time 0.731 (0.755)	Data 0.001 (0.001)	Loss 3.2489 (2.9889)	Prec@1 27.344 (30.339)	Prec@5 52.344 (59.896)
Epoch: [2][13460/14090]	Time 0.775 (0.755)	Data 0.001 (0.001)	Loss 2.7996 (2.9889)	Prec@1 32.812 (30.339)	Prec@5 66.406 (59.896)
Epoch: [2][13470/14090]	Time 0.747 (0.755)	Data 0.001 (0.001)	Loss 3.1032 (2.9889)	Prec@1 34.375 (30.340)	Prec@5 55.469 (59.896)
Epoch: [2][13480/14090]	Time 0.736 (0.755)	Data 0.001 (0.001)	Loss 3.0187 (2.9888)	Prec@1 28.125 (30.341)	Prec@5 60.938 (59.897)
Epoch: [2][13490/14090]	Time 0.745 (0.755)	Data 0.001 (0.001)	Loss 2.8697 (2.9888)	Prec@1 30.469 (30.342)	Prec@5 61.719 (59.898)
Epoch: [2][13500/14090]	Time 0.760 (0.755)	Data 0.001 (0.001)	Loss 3.1023 (2.9887)	Prec@1 25.781 (30.342)	Prec@5 63.281 (59.899)
Epoch: [2][13510/14090]	Time 0.751 (0.755)	Data 0.001 (0.001)	Loss 2.8445 (2.9887)	Prec@1 37.500 (30.342)	Prec@5 61.719 (59.901)
Epoch: [2][13520/14090]	Time 0.740 (0.755)	Data 0.001 (0.001)	Loss 3.0219 (2.9886)	Prec@1 30.469 (30.343)	Prec@5 58.594 (59.902)
Epoch: [2][13530/14090]	Time 0.760 (0.755)	Data 0.001 (0.001)	Loss 2.8058 (2.9885)	Prec@1 27.344 (30.343)	Prec@5 63.281 (59.905)
Epoch: [2][13540/14090]	Time 0.741 (0.755)	Data 0.001 (0.001)	Loss 2.7414 (2.9885)	Prec@1 30.469 (30.345)	Prec@5 60.938 (59.906)
Epoch: [2][13550/14090]	Time 0.773 (0.755)	Data 0.001 (0.001)	Loss 2.9026 (2.9884)	Prec@1 28.125 (30.347)	Prec@5 61.719 (59.907)
Epoch: [2][13560/14090]	Time 0.763 (0.755)	Data 0.001 (0.001)	Loss 3.0264 (2.9884)	Prec@1 34.375 (30.347)	Prec@5 54.688 (59.906)
Epoch: [2][13570/14090]	Time 0.756 (0.755)	Data 0.001 (0.001)	Loss 2.8396 (2.9884)	Prec@1 32.031 (30.347)	Prec@5 64.062 (59.906)
Epoch: [2][13580/14090]	Time 0.769 (0.755)	Data 0.001 (0.001)	Loss 2.7437 (2.9884)	Prec@1 32.812 (30.347)	Prec@5 62.500 (59.908)
Epoch: [2][13590/14090]	Time 0.769 (0.755)	Data 0.001 (0.001)	Loss 3.2795 (2.9883)	Prec@1 22.656 (30.348)	Prec@5 55.469 (59.909)
Epoch: [2][13600/14090]	Time 0.738 (0.755)	Data 0.001 (0.001)	Loss 2.4643 (2.9883)	Prec@1 40.625 (30.347)	Prec@5 71.094 (59.909)
Epoch: [2][13610/14090]	Time 0.764 (0.755)	Data 0.001 (0.001)	Loss 3.0761 (2.9883)	Prec@1 26.562 (30.346)	Prec@5 58.594 (59.909)
Epoch: [2][13620/14090]	Time 0.746 (0.755)	Data 0.001 (0.001)	Loss 2.9299 (2.9883)	Prec@1 30.469 (30.345)	Prec@5 57.031 (59.907)
Epoch: [2][13630/14090]	Time 0.753 (0.755)	Data 0.001 (0.001)	Loss 3.1506 (2.9883)	Prec@1 26.562 (30.344)	Prec@5 58.594 (59.908)
Epoch: [2][13640/14090]	Time 0.744 (0.755)	Data 0.001 (0.001)	Loss 2.9638 (2.9883)	Prec@1 25.000 (30.344)	Prec@5 58.594 (59.909)
Epoch: [2][13650/14090]	Time 0.769 (0.755)	Data 0.001 (0.001)	Loss 3.0182 (2.9883)	Prec@1 29.688 (30.344)	Prec@5 63.281 (59.911)
Epoch: [2][13660/14090]	Time 0.739 (0.755)	Data 0.001 (0.001)	Loss 2.8215 (2.9883)	Prec@1 33.594 (30.344)	Prec@5 58.594 (59.910)
Epoch: [2][13670/14090]	Time 0.730 (0.755)	Data 0.001 (0.001)	Loss 2.4161 (2.9882)	Prec@1 41.406 (30.345)	Prec@5 74.219 (59.911)
Epoch: [2][13680/14090]	Time 0.731 (0.755)	Data 0.001 (0.001)	Loss 2.8785 (2.9882)	Prec@1 28.906 (30.346)	Prec@5 59.375 (59.913)
Epoch: [2][13690/14090]	Time 0.762 (0.755)	Data 0.001 (0.001)	Loss 3.0953 (2.9882)	Prec@1 32.031 (30.347)	Prec@5 59.375 (59.913)
Epoch: [2][13700/14090]	Time 0.743 (0.755)	Data 0.001 (0.001)	Loss 2.9766 (2.9881)	Prec@1 32.031 (30.347)	Prec@5 60.156 (59.914)
Epoch: [2][13710/14090]	Time 0.727 (0.755)	Data 0.001 (0.001)	Loss 3.0537 (2.9881)	Prec@1 32.031 (30.348)	Prec@5 60.156 (59.915)
Epoch: [2][13720/14090]	Time 0.773 (0.755)	Data 0.001 (0.001)	Loss 3.0119 (2.9881)	Prec@1 28.125 (30.347)	Prec@5 56.250 (59.916)
Epoch: [2][13730/14090]	Time 0.746 (0.755)	Data 0.001 (0.001)	Loss 2.8747 (2.9880)	Prec@1 33.594 (30.348)	Prec@5 63.281 (59.916)
Epoch: [2][13740/14090]	Time 0.740 (0.755)	Data 0.001 (0.001)	Loss 3.2508 (2.9880)	Prec@1 26.562 (30.348)	Prec@5 54.688 (59.916)
Epoch: [2][13750/14090]	Time 0.742 (0.755)	Data 0.001 (0.001)	Loss 3.1097 (2.9879)	Prec@1 32.812 (30.349)	Prec@5 58.594 (59.918)
Epoch: [2][13760/14090]	Time 0.771 (0.755)	Data 0.001 (0.001)	Loss 2.7282 (2.9878)	Prec@1 39.062 (30.352)	Prec@5 67.188 (59.920)
Epoch: [2][13770/14090]	Time 0.758 (0.755)	Data 0.001 (0.001)	Loss 2.7158 (2.9878)	Prec@1 40.625 (30.354)	Prec@5 64.062 (59.921)
Epoch: [2][13780/14090]	Time 0.764 (0.755)	Data 0.001 (0.001)	Loss 2.7440 (2.9878)	Prec@1 43.750 (30.355)	Prec@5 63.281 (59.922)
Epoch: [2][13790/14090]	Time 0.720 (0.755)	Data 0.001 (0.001)	Loss 3.0452 (2.9878)	Prec@1 28.906 (30.353)	Prec@5 56.250 (59.921)
Epoch: [2][13800/14090]	Time 0.759 (0.755)	Data 0.001 (0.001)	Loss 3.1077 (2.9878)	Prec@1 28.906 (30.352)	Prec@5 53.906 (59.920)
Epoch: [2][13810/14090]	Time 0.741 (0.755)	Data 0.001 (0.001)	Loss 3.1528 (2.9878)	Prec@1 26.562 (30.353)	Prec@5 52.344 (59.920)
Epoch: [2][13820/14090]	Time 0.738 (0.755)	Data 0.001 (0.001)	Loss 3.0459 (2.9877)	Prec@1 23.438 (30.354)	Prec@5 56.250 (59.920)
Epoch: [2][13830/14090]	Time 0.730 (0.755)	Data 0.001 (0.001)	Loss 3.1144 (2.9877)	Prec@1 22.656 (30.354)	Prec@5 63.281 (59.922)
Epoch: [2][13840/14090]	Time 0.742 (0.755)	Data 0.001 (0.001)	Loss 2.8306 (2.9877)	Prec@1 33.594 (30.355)	Prec@5 57.812 (59.921)
Epoch: [2][13850/14090]	Time 0.745 (0.755)	Data 0.001 (0.001)	Loss 2.9279 (2.9876)	Prec@1 33.594 (30.356)	Prec@5 60.938 (59.923)
Epoch: [2][13860/14090]	Time 0.742 (0.755)	Data 0.001 (0.001)	Loss 3.1260 (2.9876)	Prec@1 28.906 (30.357)	Prec@5 59.375 (59.924)
Epoch: [2][13870/14090]	Time 0.762 (0.755)	Data 0.001 (0.001)	Loss 3.0024 (2.9875)	Prec@1 31.250 (30.360)	Prec@5 63.281 (59.926)
Epoch: [2][13880/14090]	Time 0.756 (0.755)	Data 0.001 (0.001)	Loss 2.8755 (2.9875)	Prec@1 27.344 (30.360)	Prec@5 60.156 (59.927)
Epoch: [2][13890/14090]	Time 0.756 (0.755)	Data 0.001 (0.001)	Loss 2.6881 (2.9874)	Prec@1 35.938 (30.362)	Prec@5 61.719 (59.927)
Epoch: [2][13900/14090]	Time 0.733 (0.755)	Data 0.001 (0.001)	Loss 2.8625 (2.9874)	Prec@1 28.906 (30.362)	Prec@5 65.625 (59.928)
Epoch: [2][13910/14090]	Time 0.754 (0.755)	Data 0.001 (0.001)	Loss 3.0605 (2.9874)	Prec@1 25.000 (30.362)	Prec@5 58.594 (59.928)
Epoch: [2][13920/14090]	Time 0.741 (0.755)	Data 0.001 (0.001)	Loss 3.1500 (2.9873)	Prec@1 25.781 (30.364)	Prec@5 56.250 (59.929)
Epoch: [2][13930/14090]	Time 0.768 (0.755)	Data 0.001 (0.001)	Loss 2.7957 (2.9872)	Prec@1 29.688 (30.365)	Prec@5 62.500 (59.930)
Epoch: [2][13940/14090]	Time 0.767 (0.755)	Data 0.001 (0.001)	Loss 2.8710 (2.9872)	Prec@1 28.125 (30.366)	Prec@5 62.500 (59.931)
Epoch: [2][13950/14090]	Time 0.750 (0.755)	Data 0.001 (0.001)	Loss 3.2354 (2.9872)	Prec@1 26.562 (30.365)	Prec@5 50.781 (59.931)
Epoch: [2][13960/14090]	Time 0.773 (0.755)	Data 0.001 (0.001)	Loss 3.0060 (2.9871)	Prec@1 28.906 (30.367)	Prec@5 57.031 (59.931)
Epoch: [2][13970/14090]	Time 0.754 (0.755)	Data 0.001 (0.001)	Loss 2.8963 (2.9870)	Prec@1 34.375 (30.368)	Prec@5 60.938 (59.933)
Epoch: [2][13980/14090]	Time 0.741 (0.755)	Data 0.001 (0.001)	Loss 2.9490 (2.9870)	Prec@1 34.375 (30.370)	Prec@5 59.375 (59.935)
Epoch: [2][13990/14090]	Time 0.759 (0.755)	Data 0.001 (0.001)	Loss 3.1690 (2.9869)	Prec@1 27.344 (30.370)	Prec@5 55.469 (59.936)
Epoch: [2][14000/14090]	Time 0.735 (0.755)	Data 0.001 (0.001)	Loss 2.7983 (2.9869)	Prec@1 32.812 (30.371)	Prec@5 65.625 (59.937)
Epoch: [2][14010/14090]	Time 0.757 (0.755)	Data 0.001 (0.001)	Loss 2.8137 (2.9868)	Prec@1 32.812 (30.372)	Prec@5 65.625 (59.939)
Epoch: [2][14020/14090]	Time 0.759 (0.755)	Data 0.001 (0.001)	Loss 2.7626 (2.9867)	Prec@1 38.281 (30.375)	Prec@5 64.844 (59.940)
Epoch: [2][14030/14090]	Time 0.759 (0.755)	Data 0.001 (0.001)	Loss 3.0244 (2.9867)	Prec@1 25.781 (30.374)	Prec@5 55.469 (59.940)
Epoch: [2][14040/14090]	Time 0.759 (0.755)	Data 0.001 (0.001)	Loss 2.7997 (2.9867)	Prec@1 34.375 (30.375)	Prec@5 64.844 (59.940)
Epoch: [2][14050/14090]	Time 0.749 (0.755)	Data 0.001 (0.001)	Loss 3.0657 (2.9867)	Prec@1 33.594 (30.377)	Prec@5 58.594 (59.941)
Epoch: [2][14060/14090]	Time 0.757 (0.755)	Data 0.001 (0.001)	Loss 2.8187 (2.9866)	Prec@1 35.938 (30.377)	Prec@5 63.281 (59.942)
Epoch: [2][14070/14090]	Time 0.749 (0.755)	Data 0.001 (0.001)	Loss 2.6874 (2.9865)	Prec@1 33.594 (30.380)	Prec@5 69.531 (59.944)
Epoch: [2][14080/14090]	Time 0.750 (0.755)	Data 0.000 (0.001)	Loss 2.7072 (2.9864)	Prec@1 36.719 (30.382)	Prec@5 61.719 (59.947)
Test: [0/286]	Time 2.576 (2.576)	Loss 2.2020 (2.2020)	Prec@1 35.938 (35.938)	Prec@5 83.594 (83.594)
Test: [10/286]	Time 0.231 (0.466)	Loss 2.0450 (2.4847)	Prec@1 35.156 (36.648)	Prec@5 78.125 (73.438)
Test: [20/286]	Time 0.248 (0.364)	Loss 2.6596 (2.4728)	Prec@1 35.156 (38.244)	Prec@5 75.000 (72.210)
Test: [30/286]	Time 0.339 (0.329)	Loss 2.6982 (2.4639)	Prec@1 31.250 (38.987)	Prec@5 67.188 (72.177)
Test: [40/286]	Time 0.249 (0.311)	Loss 2.1812 (2.5127)	Prec@1 39.844 (38.624)	Prec@5 83.594 (71.246)
Test: [50/286]	Time 0.235 (0.303)	Loss 2.2254 (2.5605)	Prec@1 53.125 (37.408)	Prec@5 70.312 (70.389)
Test: [60/286]	Time 0.226 (0.295)	Loss 3.4585 (2.5867)	Prec@1 22.656 (37.782)	Prec@5 51.562 (69.301)
Test: [70/286]	Time 0.263 (0.289)	Loss 2.6295 (2.6018)	Prec@1 37.500 (37.148)	Prec@5 65.625 (68.563)
Test: [80/286]	Time 0.311 (0.285)	Loss 2.9395 (2.6894)	Prec@1 23.438 (35.214)	Prec@5 56.250 (66.329)
Test: [90/286]	Time 0.241 (0.282)	Loss 2.8370 (2.6726)	Prec@1 35.156 (35.671)	Prec@5 57.031 (66.466)
Test: [100/286]	Time 0.274 (0.279)	Loss 3.5411 (2.6877)	Prec@1 14.844 (35.087)	Prec@5 50.000 (66.275)
Test: [110/286]	Time 0.225 (0.276)	Loss 3.4336 (2.7062)	Prec@1 18.750 (34.614)	Prec@5 49.219 (66.019)
Test: [120/286]	Time 0.246 (0.274)	Loss 3.1841 (2.6963)	Prec@1 26.562 (34.943)	Prec@5 57.812 (66.187)
Test: [130/286]	Time 0.303 (0.274)	Loss 1.4835 (2.6750)	Prec@1 57.812 (35.466)	Prec@5 88.281 (66.645)
Test: [140/286]	Time 0.247 (0.272)	Loss 3.8293 (2.6857)	Prec@1 23.438 (35.428)	Prec@5 54.688 (66.456)
Test: [150/286]	Time 0.239 (0.271)	Loss 3.7539 (2.6916)	Prec@1 12.500 (34.903)	Prec@5 39.844 (66.561)
Test: [160/286]	Time 0.247 (0.269)	Loss 3.0366 (2.6810)	Prec@1 23.438 (34.972)	Prec@5 67.969 (66.760)
Test: [170/286]	Time 0.238 (0.268)	Loss 2.8747 (2.6729)	Prec@1 21.875 (35.056)	Prec@5 64.062 (66.886)
Test: [180/286]	Time 0.286 (0.268)	Loss 2.7561 (2.6841)	Prec@1 39.844 (34.815)	Prec@5 65.625 (66.752)
Test: [190/286]	Time 0.240 (0.267)	Loss 3.8665 (2.7112)	Prec@1 5.469 (34.207)	Prec@5 42.969 (66.267)
Test: [200/286]	Time 0.234 (0.266)	Loss 2.1902 (2.7055)	Prec@1 57.031 (34.453)	Prec@5 78.906 (66.375)
Test: [210/286]	Time 0.250 (0.266)	Loss 3.3172 (2.7082)	Prec@1 17.188 (34.327)	Prec@5 57.812 (66.340)
Test: [220/286]	Time 0.233 (0.265)	Loss 3.3721 (2.7174)	Prec@1 18.750 (34.241)	Prec@5 49.219 (66.145)
Test: [230/286]	Time 0.314 (0.265)	Loss 1.7057 (2.7191)	Prec@1 53.906 (34.274)	Prec@5 83.594 (66.034)
Test: [240/286]	Time 0.225 (0.264)	Loss 3.1152 (2.7272)	Prec@1 29.688 (34.180)	Prec@5 53.906 (65.920)
Test: [250/286]	Time 0.240 (0.263)	Loss 2.7756 (2.7177)	Prec@1 25.000 (34.101)	Prec@5 71.875 (66.294)
Test: [260/286]	Time 0.237 (0.263)	Loss 2.7473 (2.7068)	Prec@1 33.594 (34.342)	Prec@5 63.281 (66.484)
Test: [270/286]	Time 0.270 (0.263)	Loss 2.4911 (2.6990)	Prec@1 36.719 (34.560)	Prec@5 77.344 (66.720)
Test: [280/286]	Time 0.234 (0.262)	Loss 2.5014 (2.6909)	Prec@1 42.188 (34.806)	Prec@5 74.219 (66.821)
 * Prec@1 34.969 Prec@5 66.878
Epoch: [3][0/14090]	Time 3.857 (3.857)	Data 3.125 (3.125)	Loss 2.6701 (2.6701)	Prec@1 38.281 (38.281)	Prec@5 67.188 (67.188)
Epoch: [3][10/14090]	Time 0.721 (1.018)	Data 0.001 (0.285)	Loss 3.3161 (2.9939)	Prec@1 25.000 (32.031)	Prec@5 53.125 (60.653)
Epoch: [3][20/14090]	Time 0.727 (0.885)	Data 0.001 (0.150)	Loss 3.0073 (2.9588)	Prec@1 28.906 (31.957)	Prec@5 59.375 (61.235)
Epoch: [3][30/14090]	Time 0.723 (0.838)	Data 0.002 (0.102)	Loss 2.9442 (2.9713)	Prec@1 36.719 (31.804)	Prec@5 64.062 (60.534)
Epoch: [3][40/14090]	Time 0.758 (0.817)	Data 0.001 (0.077)	Loss 3.0751 (2.9716)	Prec@1 32.812 (31.555)	Prec@5 55.469 (60.499)
Epoch: [3][50/14090]	Time 0.753 (0.804)	Data 0.001 (0.062)	Loss 3.0892 (2.9694)	Prec@1 28.906 (31.480)	Prec@5 53.125 (60.646)
Epoch: [3][60/14090]	Time 0.753 (0.795)	Data 0.001 (0.052)	Loss 3.0227 (2.9630)	Prec@1 33.594 (31.199)	Prec@5 60.938 (61.027)
Epoch: [3][70/14090]	Time 0.741 (0.789)	Data 0.001 (0.045)	Loss 3.0111 (2.9565)	Prec@1 32.031 (31.382)	Prec@5 60.938 (60.993)
Epoch: [3][80/14090]	Time 0.752 (0.784)	Data 0.001 (0.039)	Loss 2.4715 (2.9450)	Prec@1 42.969 (31.501)	Prec@5 67.969 (60.995)
Epoch: [3][90/14090]	Time 0.767 (0.782)	Data 0.001 (0.035)	Loss 2.9596 (2.9548)	Prec@1 36.719 (31.241)	Prec@5 62.500 (60.843)
Epoch: [3][100/14090]	Time 0.744 (0.778)	Data 0.002 (0.032)	Loss 3.0280 (2.9561)	Prec@1 28.906 (31.196)	Prec@5 63.281 (60.992)
Epoch: [3][110/14090]	Time 0.757 (0.776)	Data 0.001 (0.029)	Loss 3.1762 (2.9575)	Prec@1 20.312 (31.102)	Prec@5 57.812 (60.973)
Epoch: [3][120/14090]	Time 0.737 (0.774)	Data 0.001 (0.027)	Loss 2.6748 (2.9523)	Prec@1 36.719 (31.295)	Prec@5 64.844 (60.996)
Epoch: [3][130/14090]	Time 0.755 (0.773)	Data 0.001 (0.025)	Loss 3.3429 (2.9552)	Prec@1 24.219 (31.202)	Prec@5 53.125 (60.896)
Epoch: [3][140/14090]	Time 0.739 (0.771)	Data 0.001 (0.023)	Loss 3.2459 (2.9631)	Prec@1 26.562 (31.084)	Prec@5 54.688 (60.688)
Epoch: [3][150/14090]	Time 0.762 (0.770)	Data 0.001 (0.022)	Loss 2.9414 (2.9641)	Prec@1 32.812 (31.105)	Prec@5 60.938 (60.700)
Epoch: [3][160/14090]	Time 0.728 (0.769)	Data 0.001 (0.020)	Loss 2.6377 (2.9592)	Prec@1 35.938 (31.158)	Prec@5 71.875 (60.840)
Epoch: [3][170/14090]	Time 0.758 (0.768)	Data 0.002 (0.019)	Loss 2.6397 (2.9607)	Prec@1 36.719 (31.159)	Prec@5 67.188 (60.800)
Epoch: [3][180/14090]	Time 0.749 (0.767)	Data 0.001 (0.018)	Loss 2.7384 (2.9588)	Prec@1 32.812 (31.168)	Prec@5 65.625 (60.950)
Epoch: [3][190/14090]	Time 0.733 (0.767)	Data 0.001 (0.017)	Loss 3.0200 (2.9630)	Prec@1 25.781 (31.115)	Prec@5 56.250 (60.888)
Epoch: [3][200/14090]	Time 0.744 (0.766)	Data 0.001 (0.016)	Loss 2.8892 (2.9612)	Prec@1 32.031 (31.056)	Prec@5 60.156 (60.961)
Epoch: [3][210/14090]	Time 0.742 (0.766)	Data 0.001 (0.016)	Loss 3.2241 (2.9643)	Prec@1 25.000 (31.002)	Prec@5 54.688 (60.904)
Epoch: [3][220/14090]	Time 0.763 (0.765)	Data 0.001 (0.015)	Loss 3.0021 (2.9618)	Prec@1 31.250 (31.077)	Prec@5 62.500 (60.923)
Epoch: [3][230/14090]	Time 0.765 (0.765)	Data 0.001 (0.014)	Loss 2.8944 (2.9609)	Prec@1 32.031 (31.081)	Prec@5 59.375 (60.910)
Epoch: [3][240/14090]	Time 0.754 (0.764)	Data 0.002 (0.014)	Loss 2.7035 (2.9622)	Prec@1 39.844 (31.078)	Prec@5 67.188 (60.866)
Epoch: [3][250/14090]	Time 0.749 (0.764)	Data 0.001 (0.013)	Loss 2.7380 (2.9634)	Prec@1 34.375 (31.079)	Prec@5 63.281 (60.794)
Epoch: [3][260/14090]	Time 0.763 (0.763)	Data 0.001 (0.013)	Loss 2.8933 (2.9656)	Prec@1 32.812 (31.046)	Prec@5 61.719 (60.749)
Epoch: [3][270/14090]	Time 0.755 (0.763)	Data 0.001 (0.012)	Loss 3.1206 (2.9674)	Prec@1 23.438 (30.993)	Prec@5 59.375 (60.739)
Epoch: [3][280/14090]	Time 0.739 (0.763)	Data 0.001 (0.012)	Loss 3.0778 (2.9653)	Prec@1 32.031 (31.033)	Prec@5 59.375 (60.715)
Epoch: [3][290/14090]	Time 0.741 (0.762)	Data 0.001 (0.012)	Loss 3.0107 (2.9651)	Prec@1 28.125 (31.000)	Prec@5 54.688 (60.666)
Epoch: [3][300/14090]	Time 0.734 (0.762)	Data 0.001 (0.011)	Loss 2.8360 (2.9650)	Prec@1 33.594 (30.975)	Prec@5 59.375 (60.649)
Epoch: [3][310/14090]	Time 0.765 (0.762)	Data 0.002 (0.011)	Loss 2.8544 (2.9624)	Prec@1 40.625 (31.024)	Prec@5 60.156 (60.674)
Epoch: [3][320/14090]	Time 0.762 (0.762)	Data 0.001 (0.011)	Loss 2.8746 (2.9632)	Prec@1 32.812 (31.029)	Prec@5 60.938 (60.624)
Epoch: [3][330/14090]	Time 0.736 (0.761)	Data 0.001 (0.010)	Loss 2.9131 (2.9607)	Prec@1 33.594 (31.002)	Prec@5 61.719 (60.697)
Epoch: [3][340/14090]	Time 0.742 (0.761)	Data 0.001 (0.010)	Loss 2.9119 (2.9644)	Prec@1 31.250 (30.948)	Prec@5 59.375 (60.619)
Epoch: [3][350/14090]	Time 0.745 (0.761)	Data 0.001 (0.010)	Loss 3.0706 (2.9616)	Prec@1 24.219 (30.983)	Prec@5 60.156 (60.673)
Epoch: [3][360/14090]	Time 0.782 (0.761)	Data 0.001 (0.010)	Loss 2.9922 (2.9618)	Prec@1 30.469 (30.964)	Prec@5 56.250 (60.676)
Epoch: [3][370/14090]	Time 0.756 (0.761)	Data 0.001 (0.009)	Loss 2.8845 (2.9602)	Prec@1 28.906 (30.991)	Prec@5 63.281 (60.708)
Epoch: [3][380/14090]	Time 0.755 (0.760)	Data 0.003 (0.009)	Loss 3.0076 (2.9571)	Prec@1 30.469 (31.012)	Prec@5 56.250 (60.782)
Epoch: [3][390/14090]	Time 0.750 (0.760)	Data 0.001 (0.009)	Loss 2.5702 (2.9551)	Prec@1 33.594 (31.060)	Prec@5 67.188 (60.810)
Epoch: [3][400/14090]	Time 0.743 (0.760)	Data 0.001 (0.009)	Loss 2.6847 (2.9536)	Prec@1 32.812 (31.077)	Prec@5 67.188 (60.823)
Epoch: [3][410/14090]	Time 0.777 (0.760)	Data 0.001 (0.009)	Loss 2.8475 (2.9519)	Prec@1 34.375 (31.094)	Prec@5 61.719 (60.858)
Epoch: [3][420/14090]	Time 0.749 (0.760)	Data 0.001 (0.008)	Loss 3.0013 (2.9521)	Prec@1 29.688 (31.100)	Prec@5 59.375 (60.861)
Epoch: [3][430/14090]	Time 0.736 (0.759)	Data 0.001 (0.008)	Loss 3.3091 (2.9521)	Prec@1 21.875 (31.100)	Prec@5 53.906 (60.885)
Epoch: [3][440/14090]	Time 0.733 (0.759)	Data 0.001 (0.008)	Loss 3.0170 (2.9510)	Prec@1 34.375 (31.130)	Prec@5 57.812 (60.891)
Epoch: [3][450/14090]	Time 0.775 (0.759)	Data 0.002 (0.008)	Loss 2.9873 (2.9513)	Prec@1 21.094 (31.092)	Prec@5 59.375 (60.872)
Epoch: [3][460/14090]	Time 0.746 (0.759)	Data 0.001 (0.008)	Loss 2.7399 (2.9512)	Prec@1 32.031 (31.077)	Prec@5 71.875 (60.873)
Epoch: [3][470/14090]	Time 0.765 (0.759)	Data 0.001 (0.008)	Loss 3.1147 (2.9523)	Prec@1 33.594 (31.053)	Prec@5 60.938 (60.869)
Epoch: [3][480/14090]	Time 0.747 (0.759)	Data 0.001 (0.007)	Loss 3.0380 (2.9526)	Prec@1 32.031 (31.031)	Prec@5 57.031 (60.845)
Epoch: [3][490/14090]	Time 0.736 (0.758)	Data 0.001 (0.007)	Loss 2.7503 (2.9498)	Prec@1 32.031 (31.067)	Prec@5 71.094 (60.930)
Epoch: [3][500/14090]	Time 0.739 (0.758)	Data 0.001 (0.007)	Loss 3.3086 (2.9501)	Prec@1 25.781 (31.094)	Prec@5 52.344 (60.941)
Epoch: [3][510/14090]	Time 0.727 (0.758)	Data 0.001 (0.007)	Loss 3.0253 (2.9483)	Prec@1 27.344 (31.135)	Prec@5 61.719 (60.993)
Epoch: [3][520/14090]	Time 0.775 (0.758)	Data 0.002 (0.007)	Loss 2.8965 (2.9468)	Prec@1 34.375 (31.160)	Prec@5 63.281 (61.030)
Epoch: [3][530/14090]	Time 0.793 (0.758)	Data 0.001 (0.007)	Loss 2.9828 (2.9471)	Prec@1 28.125 (31.131)	Prec@5 57.812 (61.004)
Epoch: [3][540/14090]	Time 0.735 (0.758)	Data 0.001 (0.007)	Loss 2.7612 (2.9478)	Prec@1 32.812 (31.119)	Prec@5 62.500 (60.981)
Epoch: [3][550/14090]	Time 0.735 (0.758)	Data 0.001 (0.007)	Loss 2.8153 (2.9470)	Prec@1 34.375 (31.122)	Prec@5 62.500 (60.987)
Epoch: [3][560/14090]	Time 0.754 (0.758)	Data 0.001 (0.006)	Loss 3.0495 (2.9477)	Prec@1 28.906 (31.119)	Prec@5 60.156 (60.968)
Epoch: [3][570/14090]	Time 0.746 (0.758)	Data 0.001 (0.006)	Loss 2.7449 (2.9471)	Prec@1 35.938 (31.127)	Prec@5 60.938 (60.951)
Epoch: [3][580/14090]	Time 0.734 (0.758)	Data 0.001 (0.006)	Loss 2.9575 (2.9448)	Prec@1 29.688 (31.148)	Prec@5 57.812 (60.990)
Epoch: [3][590/14090]	Time 0.754 (0.758)	Data 0.002 (0.006)	Loss 3.1929 (2.9444)	Prec@1 28.125 (31.175)	Prec@5 53.906 (60.990)
Epoch: [3][600/14090]	Time 0.737 (0.758)	Data 0.001 (0.006)	Loss 3.1112 (2.9451)	Prec@1 36.719 (31.168)	Prec@5 59.375 (60.960)
Epoch: [3][610/14090]	Time 0.778 (0.757)	Data 0.001 (0.006)	Loss 2.8495 (2.9437)	Prec@1 31.250 (31.186)	Prec@5 63.281 (60.976)
Epoch: [3][620/14090]	Time 0.756 (0.757)	Data 0.001 (0.006)	Loss 3.2981 (2.9443)	Prec@1 23.438 (31.200)	Prec@5 50.000 (60.956)
Epoch: [3][630/14090]	Time 0.730 (0.757)	Data 0.001 (0.006)	Loss 2.9462 (2.9438)	Prec@1 33.594 (31.231)	Prec@5 60.938 (60.967)
Epoch: [3][640/14090]	Time 0.754 (0.757)	Data 0.001 (0.006)	Loss 2.8529 (2.9437)	Prec@1 32.812 (31.230)	Prec@5 59.375 (60.957)
Epoch: [3][650/14090]	Time 0.756 (0.757)	Data 0.001 (0.006)	Loss 3.0192 (2.9420)	Prec@1 32.031 (31.272)	Prec@5 58.594 (61.004)
Epoch: [3][660/14090]	Time 0.748 (0.757)	Data 0.002 (0.006)	Loss 3.1898 (2.9413)	Prec@1 28.906 (31.289)	Prec@5 51.562 (61.000)
Epoch: [3][670/14090]	Time 0.755 (0.757)	Data 0.001 (0.006)	Loss 2.9760 (2.9429)	Prec@1 30.469 (31.269)	Prec@5 62.500 (60.982)
Epoch: [3][680/14090]	Time 0.786 (0.757)	Data 0.001 (0.005)	Loss 2.9761 (2.9413)	Prec@1 31.250 (31.289)	Prec@5 56.250 (61.009)
Epoch: [3][690/14090]	Time 0.750 (0.757)	Data 0.001 (0.005)	Loss 3.0211 (2.9399)	Prec@1 34.375 (31.305)	Prec@5 59.375 (61.038)
Epoch: [3][700/14090]	Time 0.746 (0.757)	Data 0.001 (0.005)	Loss 3.0669 (2.9387)	Prec@1 27.344 (31.324)	Prec@5 61.719 (61.063)
Epoch: [3][710/14090]	Time 0.743 (0.757)	Data 0.001 (0.005)	Loss 2.7995 (2.9381)	Prec@1 33.594 (31.329)	Prec@5 63.281 (61.078)
Epoch: [3][720/14090]	Time 0.733 (0.757)	Data 0.001 (0.005)	Loss 2.8749 (2.9381)	Prec@1 30.469 (31.330)	Prec@5 60.938 (61.066)
Epoch: [3][730/14090]	Time 0.754 (0.757)	Data 0.002 (0.005)	Loss 3.1857 (2.9385)	Prec@1 28.906 (31.323)	Prec@5 60.156 (61.073)
Epoch: [3][740/14090]	Time 0.759 (0.757)	Data 0.001 (0.005)	Loss 3.0278 (2.9377)	Prec@1 35.156 (31.332)	Prec@5 61.719 (61.090)
Epoch: [3][750/14090]	Time 0.755 (0.757)	Data 0.001 (0.005)	Loss 2.7297 (2.9379)	Prec@1 31.250 (31.328)	Prec@5 63.281 (61.087)
Epoch: [3][760/14090]	Time 0.751 (0.757)	Data 0.001 (0.005)	Loss 2.9424 (2.9386)	Prec@1 27.344 (31.309)	Prec@5 62.500 (61.085)
Epoch: [3][770/14090]	Time 0.760 (0.757)	Data 0.001 (0.005)	Loss 2.9152 (2.9373)	Prec@1 32.031 (31.319)	Prec@5 62.500 (61.133)
Epoch: [3][780/14090]	Time 0.749 (0.757)	Data 0.001 (0.005)	Loss 2.8112 (2.9367)	Prec@1 29.688 (31.316)	Prec@5 67.188 (61.137)
Epoch: [3][790/14090]	Time 0.741 (0.757)	Data 0.001 (0.005)	Loss 2.9314 (2.9374)	Prec@1 28.125 (31.317)	Prec@5 64.844 (61.139)
Epoch: [3][800/14090]	Time 0.741 (0.757)	Data 0.002 (0.005)	Loss 2.8010 (2.9368)	Prec@1 33.594 (31.330)	Prec@5 60.156 (61.158)
Epoch: [3][810/14090]	Time 0.745 (0.757)	Data 0.001 (0.005)	Loss 2.9667 (2.9366)	Prec@1 32.031 (31.322)	Prec@5 60.938 (61.144)
Epoch: [3][820/14090]	Time 0.775 (0.757)	Data 0.001 (0.005)	Loss 2.9480 (2.9358)	Prec@1 32.031 (31.343)	Prec@5 60.156 (61.164)
Epoch: [3][830/14090]	Time 0.767 (0.756)	Data 0.001 (0.005)	Loss 3.1366 (2.9362)	Prec@1 27.344 (31.324)	Prec@5 55.469 (61.155)
Epoch: [3][840/14090]	Time 0.744 (0.756)	Data 0.001 (0.005)	Loss 2.7569 (2.9354)	Prec@1 35.938 (31.331)	Prec@5 64.844 (61.159)
Epoch: [3][850/14090]	Time 0.754 (0.757)	Data 0.001 (0.005)	Loss 3.0224 (2.9355)	Prec@1 32.031 (31.334)	Prec@5 63.281 (61.150)
Epoch: [3][860/14090]	Time 0.726 (0.756)	Data 0.001 (0.005)	Loss 2.7070 (2.9347)	Prec@1 31.250 (31.336)	Prec@5 67.188 (61.170)
Epoch: [3][870/14090]	Time 0.753 (0.756)	Data 0.003 (0.005)	Loss 2.8887 (2.9348)	Prec@1 28.906 (31.331)	Prec@5 60.156 (61.163)
Epoch: [3][880/14090]	Time 0.737 (0.756)	Data 0.001 (0.004)	Loss 3.0654 (2.9351)	Prec@1 28.125 (31.316)	Prec@5 58.594 (61.154)
Epoch: [3][890/14090]	Time 0.745 (0.756)	Data 0.001 (0.004)	Loss 2.8711 (2.9344)	Prec@1 29.688 (31.323)	Prec@5 60.156 (61.157)
Epoch: [3][900/14090]	Time 0.744 (0.756)	Data 0.001 (0.004)	Loss 3.0098 (2.9341)	Prec@1 31.250 (31.335)	Prec@5 60.938 (61.160)
Epoch: [3][910/14090]	Time 0.737 (0.756)	Data 0.001 (0.004)	Loss 3.0219 (2.9342)	Prec@1 26.562 (31.317)	Prec@5 60.156 (61.167)
Epoch: [3][920/14090]	Time 0.756 (0.756)	Data 0.001 (0.004)	Loss 3.1228 (2.9342)	Prec@1 28.906 (31.306)	Prec@5 60.938 (61.164)
Epoch: [3][930/14090]	Time 0.744 (0.756)	Data 0.001 (0.004)	Loss 2.6763 (2.9333)	Prec@1 36.719 (31.326)	Prec@5 64.062 (61.166)
Epoch: [3][940/14090]	Time 0.743 (0.756)	Data 0.002 (0.004)	Loss 2.7941 (2.9331)	Prec@1 34.375 (31.343)	Prec@5 66.406 (61.182)
Epoch: [3][950/14090]	Time 0.735 (0.756)	Data 0.001 (0.004)	Loss 2.6127 (2.9325)	Prec@1 30.469 (31.345)	Prec@5 75.000 (61.175)
Epoch: [3][960/14090]	Time 0.753 (0.756)	Data 0.001 (0.004)	Loss 2.8927 (2.9331)	Prec@1 32.812 (31.346)	Prec@5 64.062 (61.167)
Epoch: [3][970/14090]	Time 0.753 (0.756)	Data 0.001 (0.004)	Loss 2.9098 (2.9326)	Prec@1 34.375 (31.351)	Prec@5 60.938 (61.172)
Epoch: [3][980/14090]	Time 0.741 (0.756)	Data 0.001 (0.004)	Loss 3.3228 (2.9332)	Prec@1 20.312 (31.335)	Prec@5 51.562 (61.169)
Epoch: [3][990/14090]	Time 0.763 (0.756)	Data 0.001 (0.004)	Loss 2.8090 (2.9333)	Prec@1 29.688 (31.320)	Prec@5 64.062 (61.157)
Epoch: [3][1000/14090]	Time 0.746 (0.756)	Data 0.001 (0.004)	Loss 2.7683 (2.9336)	Prec@1 33.594 (31.327)	Prec@5 67.188 (61.159)
Epoch: [3][1010/14090]	Time 0.750 (0.756)	Data 0.002 (0.004)	Loss 2.9520 (2.9329)	Prec@1 28.125 (31.338)	Prec@5 64.844 (61.172)
Epoch: [3][1020/14090]	Time 0.743 (0.756)	Data 0.001 (0.004)	Loss 2.8450 (2.9323)	Prec@1 36.719 (31.360)	Prec@5 62.500 (61.185)
Epoch: [3][1030/14090]	Time 0.773 (0.756)	Data 0.001 (0.004)	Loss 2.9745 (2.9315)	Prec@1 35.156 (31.375)	Prec@5 62.500 (61.187)
Epoch: [3][1040/14090]	Time 0.774 (0.756)	Data 0.001 (0.004)	Loss 2.7919 (2.9316)	Prec@1 32.812 (31.378)	Prec@5 64.062 (61.179)
Epoch: [3][1050/14090]	Time 0.767 (0.756)	Data 0.001 (0.004)	Loss 2.8582 (2.9311)	Prec@1 36.719 (31.390)	Prec@5 61.719 (61.196)
Epoch: [3][1060/14090]	Time 0.759 (0.756)	Data 0.001 (0.004)	Loss 2.8721 (2.9308)	Prec@1 38.281 (31.398)	Prec@5 64.844 (61.212)
Epoch: [3][1070/14090]	Time 0.748 (0.756)	Data 0.001 (0.004)	Loss 3.2752 (2.9313)	Prec@1 20.312 (31.392)	Prec@5 55.469 (61.205)
Epoch: [3][1080/14090]	Time 0.761 (0.756)	Data 0.002 (0.004)	Loss 3.0578 (2.9317)	Prec@1 31.250 (31.379)	Prec@5 56.250 (61.202)
Epoch: [3][1090/14090]	Time 0.778 (0.756)	Data 0.001 (0.004)	Loss 3.1079 (2.9321)	Prec@1 30.469 (31.377)	Prec@5 52.344 (61.205)
Epoch: [3][1100/14090]	Time 0.750 (0.756)	Data 0.001 (0.004)	Loss 2.8489 (2.9328)	Prec@1 33.594 (31.364)	Prec@5 66.406 (61.192)
Epoch: [3][1110/14090]	Time 0.735 (0.756)	Data 0.001 (0.004)	Loss 2.8318 (2.9327)	Prec@1 29.688 (31.357)	Prec@5 64.062 (61.192)
Epoch: [3][1120/14090]	Time 0.750 (0.756)	Data 0.001 (0.004)	Loss 2.9165 (2.9330)	Prec@1 31.250 (31.359)	Prec@5 61.719 (61.184)
Epoch: [3][1130/14090]	Time 0.755 (0.756)	Data 0.002 (0.004)	Loss 2.5659 (2.9324)	Prec@1 39.844 (31.360)	Prec@5 67.188 (61.198)
Epoch: [3][1140/14090]	Time 0.758 (0.756)	Data 0.001 (0.004)	Loss 2.9719 (2.9322)	Prec@1 35.156 (31.369)	Prec@5 62.500 (61.201)
Epoch: [3][1150/14090]	Time 0.761 (0.756)	Data 0.002 (0.004)	Loss 3.0173 (2.9322)	Prec@1 27.344 (31.363)	Prec@5 54.688 (61.191)
Epoch: [3][1160/14090]	Time 0.770 (0.756)	Data 0.001 (0.004)	Loss 2.7258 (2.9321)	Prec@1 39.844 (31.360)	Prec@5 63.281 (61.195)
Epoch: [3][1170/14090]	Time 0.754 (0.756)	Data 0.001 (0.004)	Loss 2.9377 (2.9319)	Prec@1 31.250 (31.356)	Prec@5 64.062 (61.206)
Epoch: [3][1180/14090]	Time 0.755 (0.756)	Data 0.001 (0.004)	Loss 2.9061 (2.9322)	Prec@1 29.688 (31.339)	Prec@5 62.500 (61.192)
Epoch: [3][1190/14090]	Time 0.740 (0.756)	Data 0.001 (0.004)	Loss 2.9605 (2.9322)	Prec@1 25.781 (31.323)	Prec@5 57.812 (61.190)
Epoch: [3][1200/14090]	Time 0.760 (0.756)	Data 0.001 (0.004)	Loss 2.7480 (2.9325)	Prec@1 34.375 (31.327)	Prec@5 63.281 (61.179)
Epoch: [3][1210/14090]	Time 0.749 (0.756)	Data 0.001 (0.004)	Loss 2.8618 (2.9329)	Prec@1 32.031 (31.315)	Prec@5 57.812 (61.157)
Epoch: [3][1220/14090]	Time 0.756 (0.756)	Data 0.002 (0.003)	Loss 2.9497 (2.9332)	Prec@1 32.812 (31.313)	Prec@5 58.594 (61.145)
Epoch: [3][1230/14090]	Time 0.766 (0.756)	Data 0.001 (0.003)	Loss 2.8842 (2.9335)	Prec@1 28.906 (31.289)	Prec@5 59.375 (61.141)
Epoch: [3][1240/14090]	Time 0.777 (0.756)	Data 0.001 (0.003)	Loss 2.8843 (2.9332)	Prec@1 33.594 (31.293)	Prec@5 61.719 (61.138)
Epoch: [3][1250/14090]	Time 0.755 (0.756)	Data 0.001 (0.003)	Loss 2.6095 (2.9328)	Prec@1 35.938 (31.293)	Prec@5 65.625 (61.149)
Epoch: [3][1260/14090]	Time 0.771 (0.756)	Data 0.001 (0.003)	Loss 2.7531 (2.9325)	Prec@1 25.781 (31.293)	Prec@5 66.406 (61.153)
Epoch: [3][1270/14090]	Time 0.747 (0.755)	Data 0.001 (0.003)	Loss 2.9958 (2.9320)	Prec@1 33.594 (31.303)	Prec@5 57.031 (61.165)
Epoch: [3][1280/14090]	Time 0.765 (0.756)	Data 0.001 (0.003)	Loss 2.8340 (2.9318)	Prec@1 33.594 (31.309)	Prec@5 60.156 (61.158)
Epoch: [3][1290/14090]	Time 0.729 (0.755)	Data 0.002 (0.003)	Loss 2.7968 (2.9309)	Prec@1 35.156 (31.329)	Prec@5 66.406 (61.184)
Epoch: [3][1300/14090]	Time 0.746 (0.755)	Data 0.001 (0.003)	Loss 2.9010 (2.9310)	Prec@1 33.594 (31.317)	Prec@5 63.281 (61.187)
Epoch: [3][1310/14090]	Time 0.759 (0.755)	Data 0.001 (0.003)	Loss 2.7624 (2.9309)	Prec@1 37.500 (31.325)	Prec@5 68.750 (61.190)
Epoch: [3][1320/14090]	Time 0.758 (0.755)	Data 0.001 (0.003)	Loss 3.0040 (2.9311)	Prec@1 33.594 (31.323)	Prec@5 63.281 (61.203)
Epoch: [3][1330/14090]	Time 0.779 (0.755)	Data 0.001 (0.003)	Loss 3.0886 (2.9306)	Prec@1 24.219 (31.329)	Prec@5 58.594 (61.201)
Epoch: [3][1340/14090]	Time 0.779 (0.755)	Data 0.001 (0.003)	Loss 2.4427 (2.9304)	Prec@1 44.531 (31.326)	Prec@5 71.094 (61.205)
Epoch: [3][1350/14090]	Time 0.760 (0.755)	Data 0.001 (0.003)	Loss 2.9027 (2.9304)	Prec@1 28.125 (31.307)	Prec@5 64.062 (61.206)
Epoch: [3][1360/14090]	Time 0.787 (0.755)	Data 0.002 (0.003)	Loss 3.2690 (2.9313)	Prec@1 25.781 (31.297)	Prec@5 57.031 (61.197)
Epoch: [3][1370/14090]	Time 0.756 (0.755)	Data 0.001 (0.003)	Loss 2.8991 (2.9308)	Prec@1 28.906 (31.289)	Prec@5 65.625 (61.209)
Epoch: [3][1380/14090]	Time 0.748 (0.755)	Data 0.001 (0.003)	Loss 3.3330 (2.9311)	Prec@1 29.688 (31.299)	Prec@5 51.562 (61.218)
Epoch: [3][1390/14090]	Time 0.774 (0.755)	Data 0.001 (0.003)	Loss 3.0528 (2.9308)	Prec@1 29.688 (31.311)	Prec@5 57.812 (61.214)
Epoch: [3][1400/14090]	Time 0.766 (0.755)	Data 0.001 (0.003)	Loss 2.8951 (2.9311)	Prec@1 27.344 (31.302)	Prec@5 61.719 (61.210)
Epoch: [3][1410/14090]	Time 0.742 (0.755)	Data 0.001 (0.003)	Loss 3.0069 (2.9312)	Prec@1 26.562 (31.299)	Prec@5 55.469 (61.209)
Epoch: [3][1420/14090]	Time 0.770 (0.755)	Data 0.001 (0.003)	Loss 2.9075 (2.9314)	Prec@1 33.594 (31.302)	Prec@5 58.594 (61.191)
Epoch: [3][1430/14090]	Time 0.754 (0.755)	Data 0.002 (0.003)	Loss 2.8921 (2.9312)	Prec@1 32.812 (31.312)	Prec@5 65.625 (61.190)
Epoch: [3][1440/14090]	Time 0.782 (0.755)	Data 0.001 (0.003)	Loss 2.8248 (2.9310)	Prec@1 33.594 (31.315)	Prec@5 66.406 (61.191)
Epoch: [3][1450/14090]	Time 0.771 (0.755)	Data 0.001 (0.003)	Loss 3.1223 (2.9319)	Prec@1 28.125 (31.296)	Prec@5 56.250 (61.172)
Epoch: [3][1460/14090]	Time 0.758 (0.755)	Data 0.001 (0.003)	Loss 2.8218 (2.9317)	Prec@1 31.250 (31.313)	Prec@5 57.812 (61.179)
Epoch: [3][1470/14090]	Time 0.758 (0.755)	Data 0.001 (0.003)	Loss 2.7751 (2.9314)	Prec@1 32.031 (31.317)	Prec@5 66.406 (61.191)
Epoch: [3][1480/14090]	Time 0.758 (0.755)	Data 0.001 (0.003)	Loss 3.0300 (2.9312)	Prec@1 25.000 (31.321)	Prec@5 59.375 (61.194)
Epoch: [3][1490/14090]	Time 0.757 (0.755)	Data 0.001 (0.003)	Loss 2.9033 (2.9309)	Prec@1 35.156 (31.335)	Prec@5 59.375 (61.201)
Epoch: [3][1500/14090]	Time 0.731 (0.755)	Data 0.002 (0.003)	Loss 3.0458 (2.9308)	Prec@1 31.250 (31.353)	Prec@5 60.938 (61.206)
Epoch: [3][1510/14090]	Time 0.746 (0.755)	Data 0.001 (0.003)	Loss 2.8149 (2.9304)	Prec@1 32.812 (31.368)	Prec@5 62.500 (61.206)
Epoch: [3][1520/14090]	Time 0.785 (0.755)	Data 0.001 (0.003)	Loss 2.8566 (2.9300)	Prec@1 33.594 (31.374)	Prec@5 61.719 (61.212)
Epoch: [3][1530/14090]	Time 0.782 (0.755)	Data 0.001 (0.003)	Loss 2.8117 (2.9305)	Prec@1 32.031 (31.366)	Prec@5 66.406 (61.207)
Epoch: [3][1540/14090]	Time 0.755 (0.755)	Data 0.001 (0.003)	Loss 2.9373 (2.9300)	Prec@1 31.250 (31.370)	Prec@5 60.156 (61.204)
Epoch: [3][1550/14090]	Time 0.742 (0.755)	Data 0.001 (0.003)	Loss 3.0661 (2.9304)	Prec@1 27.344 (31.358)	Prec@5 58.594 (61.201)
Epoch: [3][1560/14090]	Time 0.757 (0.755)	Data 0.001 (0.003)	Loss 2.7658 (2.9308)	Prec@1 33.594 (31.358)	Prec@5 65.625 (61.198)
Epoch: [3][1570/14090]	Time 0.759 (0.755)	Data 0.002 (0.003)	Loss 2.7018 (2.9309)	Prec@1 38.281 (31.366)	Prec@5 62.500 (61.186)
Epoch: [3][1580/14090]	Time 0.750 (0.755)	Data 0.001 (0.003)	Loss 3.2091 (2.9313)	Prec@1 23.438 (31.358)	Prec@5 56.250 (61.173)
Epoch: [3][1590/14090]	Time 0.735 (0.755)	Data 0.002 (0.003)	Loss 2.7703 (2.9310)	Prec@1 30.469 (31.354)	Prec@5 64.062 (61.173)
Epoch: [3][1600/14090]	Time 0.754 (0.755)	Data 0.001 (0.003)	Loss 2.8308 (2.9310)	Prec@1 31.250 (31.350)	Prec@5 62.500 (61.178)
Epoch: [3][1610/14090]	Time 0.752 (0.755)	Data 0.001 (0.003)	Loss 3.1967 (2.9308)	Prec@1 28.125 (31.347)	Prec@5 58.594 (61.188)
Epoch: [3][1620/14090]	Time 0.735 (0.755)	Data 0.001 (0.003)	Loss 2.6655 (2.9301)	Prec@1 35.938 (31.353)	Prec@5 67.188 (61.199)
Epoch: [3][1630/14090]	Time 0.739 (0.755)	Data 0.001 (0.003)	Loss 2.9186 (2.9300)	Prec@1 32.812 (31.360)	Prec@5 60.156 (61.205)
Epoch: [3][1640/14090]	Time 0.762 (0.755)	Data 0.002 (0.003)	Loss 2.7203 (2.9297)	Prec@1 37.500 (31.367)	Prec@5 62.500 (61.208)
Epoch: [3][1650/14090]	Time 0.751 (0.755)	Data 0.001 (0.003)	Loss 2.9092 (2.9295)	Prec@1 32.812 (31.374)	Prec@5 65.625 (61.216)
Epoch: [3][1660/14090]	Time 0.736 (0.755)	Data 0.001 (0.003)	Loss 2.8872 (2.9295)	Prec@1 28.906 (31.364)	Prec@5 60.156 (61.214)
Epoch: [3][1670/14090]	Time 0.738 (0.755)	Data 0.001 (0.003)	Loss 3.4571 (2.9296)	Prec@1 21.875 (31.363)	Prec@5 50.000 (61.209)
Epoch: [3][1680/14090]	Time 0.745 (0.755)	Data 0.001 (0.003)	Loss 2.7548 (2.9294)	Prec@1 34.375 (31.370)	Prec@5 71.094 (61.213)
Epoch: [3][1690/14090]	Time 0.774 (0.755)	Data 0.001 (0.003)	Loss 2.7628 (2.9294)	Prec@1 37.500 (31.378)	Prec@5 69.531 (61.215)
Epoch: [3][1700/14090]	Time 0.737 (0.755)	Data 0.001 (0.003)	Loss 2.8218 (2.9292)	Prec@1 38.281 (31.379)	Prec@5 62.500 (61.216)
Epoch: [3][1710/14090]	Time 0.760 (0.755)	Data 0.002 (0.003)	Loss 2.9909 (2.9297)	Prec@1 28.125 (31.377)	Prec@5 57.812 (61.205)
Epoch: [3][1720/14090]	Time 0.748 (0.755)	Data 0.001 (0.003)	Loss 3.1689 (2.9297)	Prec@1 25.781 (31.373)	Prec@5 58.594 (61.201)
Epoch: [3][1730/14090]	Time 0.747 (0.755)	Data 0.001 (0.003)	Loss 3.0666 (2.9296)	Prec@1 24.219 (31.372)	Prec@5 57.812 (61.197)
Epoch: [3][1740/14090]	Time 0.754 (0.755)	Data 0.001 (0.003)	Loss 3.0425 (2.9299)	Prec@1 37.500 (31.368)	Prec@5 60.156 (61.188)
Epoch: [3][1750/14090]	Time 0.734 (0.755)	Data 0.001 (0.003)	Loss 2.9187 (2.9301)	Prec@1 31.250 (31.372)	Prec@5 59.375 (61.181)
Epoch: [3][1760/14090]	Time 0.778 (0.755)	Data 0.001 (0.003)	Loss 2.6620 (2.9301)	Prec@1 31.250 (31.369)	Prec@5 70.312 (61.185)
Epoch: [3][1770/14090]	Time 0.765 (0.755)	Data 0.001 (0.003)	Loss 3.1401 (2.9309)	Prec@1 26.562 (31.347)	Prec@5 55.469 (61.167)
Epoch: [3][1780/14090]	Time 0.748 (0.755)	Data 0.002 (0.003)	Loss 2.7951 (2.9306)	Prec@1 32.812 (31.344)	Prec@5 61.719 (61.172)
Epoch: [3][1790/14090]	Time 0.751 (0.755)	Data 0.001 (0.003)	Loss 2.7257 (2.9303)	Prec@1 31.250 (31.341)	Prec@5 61.719 (61.180)
Epoch: [3][1800/14090]	Time 0.756 (0.755)	Data 0.001 (0.003)	Loss 3.1634 (2.9299)	Prec@1 29.688 (31.344)	Prec@5 56.250 (61.173)
Epoch: [3][1810/14090]	Time 0.764 (0.755)	Data 0.001 (0.003)	Loss 3.0280 (2.9301)	Prec@1 27.344 (31.339)	Prec@5 63.281 (61.171)
Epoch: [3][1820/14090]	Time 0.731 (0.755)	Data 0.001 (0.003)	Loss 2.7596 (2.9298)	Prec@1 39.062 (31.343)	Prec@5 67.188 (61.170)
Epoch: [3][1830/14090]	Time 0.733 (0.755)	Data 0.001 (0.003)	Loss 2.6804 (2.9299)	Prec@1 37.500 (31.347)	Prec@5 65.625 (61.170)
Epoch: [3][1840/14090]	Time 0.735 (0.755)	Data 0.001 (0.003)	Loss 3.0946 (2.9301)	Prec@1 33.594 (31.349)	Prec@5 54.688 (61.168)
Epoch: [3][1850/14090]	Time 0.761 (0.755)	Data 0.002 (0.003)	Loss 2.6949 (2.9300)	Prec@1 35.938 (31.358)	Prec@5 67.188 (61.165)
Epoch: [3][1860/14090]	Time 0.757 (0.755)	Data 0.001 (0.003)	Loss 2.6607 (2.9296)	Prec@1 38.281 (31.368)	Prec@5 65.625 (61.172)
Epoch: [3][1870/14090]	Time 0.768 (0.755)	Data 0.001 (0.003)	Loss 2.9372 (2.9293)	Prec@1 32.031 (31.378)	Prec@5 61.719 (61.181)
Epoch: [3][1880/14090]	Time 0.745 (0.755)	Data 0.001 (0.003)	Loss 2.8871 (2.9290)	Prec@1 33.594 (31.387)	Prec@5 67.188 (61.190)
Epoch: [3][1890/14090]	Time 0.778 (0.755)	Data 0.001 (0.003)	Loss 3.0854 (2.9290)	Prec@1 28.906 (31.387)	Prec@5 57.812 (61.188)
Epoch: [3][1900/14090]	Time 0.771 (0.755)	Data 0.001 (0.003)	Loss 2.9461 (2.9293)	Prec@1 33.594 (31.387)	Prec@5 60.938 (61.186)
Epoch: [3][1910/14090]	Time 0.752 (0.755)	Data 0.001 (0.003)	Loss 3.0881 (2.9297)	Prec@1 32.031 (31.377)	Prec@5 53.125 (61.177)
Epoch: [3][1920/14090]	Time 0.758 (0.755)	Data 0.002 (0.003)	Loss 3.0168 (2.9297)	Prec@1 28.906 (31.368)	Prec@5 56.250 (61.177)
Epoch: [3][1930/14090]	Time 0.747 (0.755)	Data 0.001 (0.003)	Loss 3.1633 (2.9300)	Prec@1 33.594 (31.379)	Prec@5 57.031 (61.171)
Epoch: [3][1940/14090]	Time 0.760 (0.755)	Data 0.001 (0.003)	Loss 2.8429 (2.9301)	Prec@1 35.156 (31.374)	Prec@5 65.625 (61.172)
Epoch: [3][1950/14090]	Time 0.759 (0.755)	Data 0.001 (0.003)	Loss 2.7473 (2.9300)	Prec@1 38.281 (31.376)	Prec@5 65.625 (61.176)
Epoch: [3][1960/14090]	Time 0.746 (0.755)	Data 0.001 (0.003)	Loss 2.7700 (2.9299)	Prec@1 30.469 (31.381)	Prec@5 67.969 (61.173)
Epoch: [3][1970/14090]	Time 0.755 (0.755)	Data 0.001 (0.003)	Loss 2.9253 (2.9299)	Prec@1 33.594 (31.380)	Prec@5 61.719 (61.174)
Epoch: [3][1980/14090]	Time 0.755 (0.755)	Data 0.001 (0.003)	Loss 3.0316 (2.9301)	Prec@1 31.250 (31.382)	Prec@5 58.594 (61.165)
Epoch: [3][1990/14090]	Time 0.733 (0.755)	Data 0.002 (0.003)	Loss 2.4548 (2.9300)	Prec@1 36.719 (31.386)	Prec@5 73.438 (61.172)
Epoch: [3][2000/14090]	Time 0.753 (0.755)	Data 0.002 (0.003)	Loss 2.9680 (2.9296)	Prec@1 29.688 (31.394)	Prec@5 57.031 (61.177)
Epoch: [3][2010/14090]	Time 0.765 (0.755)	Data 0.001 (0.002)	Loss 3.2705 (2.9298)	Prec@1 19.531 (31.386)	Prec@5 56.250 (61.180)
Epoch: [3][2020/14090]	Time 0.759 (0.755)	Data 0.001 (0.002)	Loss 3.0700 (2.9301)	Prec@1 26.562 (31.382)	Prec@5 59.375 (61.174)
Epoch: [3][2030/14090]	Time 0.760 (0.755)	Data 0.001 (0.002)	Loss 2.9424 (2.9304)	Prec@1 31.250 (31.375)	Prec@5 58.594 (61.169)
Epoch: [3][2040/14090]	Time 0.753 (0.755)	Data 0.001 (0.002)	Loss 2.7796 (2.9303)	Prec@1 33.594 (31.377)	Prec@5 64.062 (61.169)
Epoch: [3][2050/14090]	Time 0.749 (0.755)	Data 0.001 (0.002)	Loss 3.2385 (2.9301)	Prec@1 27.344 (31.375)	Prec@5 52.344 (61.167)
Epoch: [3][2060/14090]	Time 0.762 (0.755)	Data 0.002 (0.002)	Loss 2.8856 (2.9297)	Prec@1 35.156 (31.384)	Prec@5 64.062 (61.176)
Epoch: [3][2070/14090]	Time 0.777 (0.755)	Data 0.001 (0.002)	Loss 2.9385 (2.9297)	Prec@1 30.469 (31.375)	Prec@5 58.594 (61.176)
Epoch: [3][2080/14090]	Time 0.737 (0.755)	Data 0.001 (0.002)	Loss 2.7647 (2.9296)	Prec@1 38.281 (31.376)	Prec@5 64.844 (61.174)
Epoch: [3][2090/14090]	Time 0.766 (0.755)	Data 0.001 (0.002)	Loss 3.0663 (2.9295)	Prec@1 30.469 (31.368)	Prec@5 57.812 (61.178)
Epoch: [3][2100/14090]	Time 0.735 (0.755)	Data 0.001 (0.002)	Loss 2.9119 (2.9295)	Prec@1 32.031 (31.370)	Prec@5 58.594 (61.174)
Epoch: [3][2110/14090]	Time 0.731 (0.755)	Data 0.001 (0.002)	Loss 3.0185 (2.9295)	Prec@1 30.469 (31.371)	Prec@5 64.062 (61.178)
Epoch: [3][2120/14090]	Time 0.772 (0.755)	Data 0.001 (0.002)	Loss 2.8234 (2.9291)	Prec@1 33.594 (31.379)	Prec@5 58.594 (61.179)
Epoch: [3][2130/14090]	Time 0.772 (0.755)	Data 0.002 (0.002)	Loss 2.5813 (2.9288)	Prec@1 37.500 (31.390)	Prec@5 69.531 (61.194)
Epoch: [3][2140/14090]	Time 0.745 (0.755)	Data 0.001 (0.002)	Loss 3.0711 (2.9289)	Prec@1 25.000 (31.385)	Prec@5 61.719 (61.191)
Epoch: [3][2150/14090]	Time 0.737 (0.755)	Data 0.001 (0.002)	Loss 2.9339 (2.9283)	Prec@1 36.719 (31.400)	Prec@5 59.375 (61.202)
Epoch: [3][2160/14090]	Time 0.740 (0.755)	Data 0.001 (0.002)	Loss 2.5896 (2.9280)	Prec@1 34.375 (31.406)	Prec@5 67.969 (61.204)
Epoch: [3][2170/14090]	Time 0.775 (0.755)	Data 0.001 (0.002)	Loss 2.9122 (2.9281)	Prec@1 36.719 (31.404)	Prec@5 58.594 (61.203)
Epoch: [3][2180/14090]	Time 0.756 (0.755)	Data 0.001 (0.002)	Loss 2.9013 (2.9281)	Prec@1 26.562 (31.398)	Prec@5 57.812 (61.194)
Epoch: [3][2190/14090]	Time 0.743 (0.755)	Data 0.001 (0.002)	Loss 3.0916 (2.9280)	Prec@1 31.250 (31.403)	Prec@5 54.688 (61.193)
Epoch: [3][2200/14090]	Time 0.737 (0.755)	Data 0.002 (0.002)	Loss 2.8378 (2.9283)	Prec@1 30.469 (31.399)	Prec@5 64.062 (61.183)
Epoch: [3][2210/14090]	Time 0.767 (0.755)	Data 0.001 (0.002)	Loss 3.4034 (2.9285)	Prec@1 25.781 (31.397)	Prec@5 50.781 (61.181)
Epoch: [3][2220/14090]	Time 0.762 (0.755)	Data 0.001 (0.002)	Loss 2.7233 (2.9280)	Prec@1 39.844 (31.409)	Prec@5 61.719 (61.185)
Epoch: [3][2230/14090]	Time 0.741 (0.755)	Data 0.001 (0.002)	Loss 2.8975 (2.9278)	Prec@1 30.469 (31.419)	Prec@5 61.719 (61.181)
Epoch: [3][2240/14090]	Time 0.736 (0.755)	Data 0.001 (0.002)	Loss 3.2464 (2.9281)	Prec@1 22.656 (31.418)	Prec@5 57.812 (61.176)
Epoch: [3][2250/14090]	Time 0.759 (0.755)	Data 0.001 (0.002)	Loss 3.1408 (2.9279)	Prec@1 29.688 (31.428)	Prec@5 57.031 (61.178)
Epoch: [3][2260/14090]	Time 0.768 (0.755)	Data 0.001 (0.002)	Loss 3.0930 (2.9283)	Prec@1 26.562 (31.419)	Prec@5 54.688 (61.172)
Epoch: [3][2270/14090]	Time 0.758 (0.755)	Data 0.002 (0.002)	Loss 2.7611 (2.9279)	Prec@1 34.375 (31.438)	Prec@5 68.750 (61.178)
Epoch: [3][2280/14090]	Time 0.747 (0.755)	Data 0.001 (0.002)	Loss 3.0905 (2.9283)	Prec@1 25.000 (31.432)	Prec@5 58.594 (61.173)
Epoch: [3][2290/14090]	Time 0.751 (0.755)	Data 0.001 (0.002)	Loss 3.1126 (2.9285)	Prec@1 27.344 (31.417)	Prec@5 54.688 (61.169)
Epoch: [3][2300/14090]	Time 0.754 (0.755)	Data 0.001 (0.002)	Loss 3.0371 (2.9286)	Prec@1 35.156 (31.418)	Prec@5 59.375 (61.166)
Epoch: [3][2310/14090]	Time 0.738 (0.755)	Data 0.001 (0.002)	Loss 3.0678 (2.9288)	Prec@1 26.562 (31.414)	Prec@5 60.938 (61.167)
Epoch: [3][2320/14090]	Time 0.731 (0.755)	Data 0.001 (0.002)	Loss 3.1394 (2.9294)	Prec@1 26.562 (31.408)	Prec@5 53.906 (61.145)
Epoch: [3][2330/14090]	Time 0.774 (0.755)	Data 0.001 (0.002)	Loss 2.8847 (2.9298)	Prec@1 31.250 (31.405)	Prec@5 62.500 (61.139)
Epoch: [3][2340/14090]	Time 0.730 (0.755)	Data 0.002 (0.002)	Loss 2.7996 (2.9294)	Prec@1 32.812 (31.406)	Prec@5 60.156 (61.146)
Epoch: [3][2350/14090]	Time 0.747 (0.755)	Data 0.001 (0.002)	Loss 2.6784 (2.9296)	Prec@1 34.375 (31.399)	Prec@5 60.156 (61.140)
Epoch: [3][2360/14090]	Time 0.765 (0.755)	Data 0.001 (0.002)	Loss 2.7214 (2.9296)	Prec@1 35.938 (31.401)	Prec@5 67.969 (61.146)
Epoch: [3][2370/14090]	Time 0.763 (0.755)	Data 0.001 (0.002)	Loss 2.8093 (2.9296)	Prec@1 34.375 (31.397)	Prec@5 63.281 (61.146)
Epoch: [3][2380/14090]	Time 0.737 (0.755)	Data 0.001 (0.002)	Loss 2.9760 (2.9297)	Prec@1 28.125 (31.392)	Prec@5 64.062 (61.139)
Epoch: [3][2390/14090]	Time 0.769 (0.755)	Data 0.001 (0.002)	Loss 2.9176 (2.9296)	Prec@1 31.250 (31.394)	Prec@5 61.719 (61.140)
Epoch: [3][2400/14090]	Time 0.771 (0.755)	Data 0.001 (0.002)	Loss 2.8097 (2.9295)	Prec@1 34.375 (31.398)	Prec@5 62.500 (61.144)
Epoch: [3][2410/14090]	Time 0.770 (0.755)	Data 0.002 (0.002)	Loss 2.8064 (2.9298)	Prec@1 35.156 (31.386)	Prec@5 64.062 (61.140)
Epoch: [3][2420/14090]	Time 0.761 (0.755)	Data 0.001 (0.002)	Loss 2.9184 (2.9300)	Prec@1 30.469 (31.391)	Prec@5 64.062 (61.137)
Epoch: [3][2430/14090]	Time 0.733 (0.755)	Data 0.001 (0.002)	Loss 2.9912 (2.9304)	Prec@1 28.125 (31.385)	Prec@5 60.938 (61.127)
Epoch: [3][2440/14090]	Time 0.734 (0.755)	Data 0.001 (0.002)	Loss 3.0052 (2.9306)	Prec@1 31.250 (31.383)	Prec@5 60.938 (61.126)
Epoch: [3][2450/14090]	Time 0.772 (0.755)	Data 0.001 (0.002)	Loss 3.0230 (2.9307)	Prec@1 32.031 (31.380)	Prec@5 60.156 (61.128)
Epoch: [3][2460/14090]	Time 0.785 (0.755)	Data 0.001 (0.002)	Loss 2.3932 (2.9305)	Prec@1 39.844 (31.382)	Prec@5 67.188 (61.133)
Epoch: [3][2470/14090]	Time 0.733 (0.755)	Data 0.001 (0.002)	Loss 3.0526 (2.9305)	Prec@1 25.000 (31.376)	Prec@5 63.281 (61.135)
Epoch: [3][2480/14090]	Time 0.765 (0.755)	Data 0.002 (0.002)	Loss 3.1899 (2.9301)	Prec@1 23.438 (31.381)	Prec@5 54.688 (61.138)
Epoch: [3][2490/14090]	Time 0.778 (0.755)	Data 0.001 (0.002)	Loss 2.9966 (2.9306)	Prec@1 28.906 (31.376)	Prec@5 59.375 (61.126)
Epoch: [3][2500/14090]	Time 0.770 (0.755)	Data 0.001 (0.002)	Loss 2.7127 (2.9302)	Prec@1 38.281 (31.397)	Prec@5 67.969 (61.130)
Epoch: [3][2510/14090]	Time 0.760 (0.755)	Data 0.001 (0.002)	Loss 2.9080 (2.9304)	Prec@1 29.688 (31.392)	Prec@5 65.625 (61.129)
Epoch: [3][2520/14090]	Time 0.745 (0.755)	Data 0.001 (0.002)	Loss 3.1817 (2.9305)	Prec@1 24.219 (31.384)	Prec@5 55.469 (61.129)
Epoch: [3][2530/14090]	Time 0.747 (0.755)	Data 0.001 (0.002)	Loss 3.1445 (2.9308)	Prec@1 25.781 (31.383)	Prec@5 58.594 (61.127)
Epoch: [3][2540/14090]	Time 0.741 (0.755)	Data 0.001 (0.002)	Loss 2.9660 (2.9305)	Prec@1 26.562 (31.383)	Prec@5 60.156 (61.131)
Epoch: [3][2550/14090]	Time 0.758 (0.755)	Data 0.002 (0.002)	Loss 2.9706 (2.9305)	Prec@1 29.688 (31.382)	Prec@5 64.062 (61.128)
Epoch: [3][2560/14090]	Time 0.750 (0.755)	Data 0.001 (0.002)	Loss 2.8830 (2.9301)	Prec@1 33.594 (31.387)	Prec@5 63.281 (61.135)
Epoch: [3][2570/14090]	Time 0.744 (0.755)	Data 0.001 (0.002)	Loss 2.9679 (2.9304)	Prec@1 33.594 (31.379)	Prec@5 59.375 (61.127)
Epoch: [3][2580/14090]	Time 0.740 (0.755)	Data 0.001 (0.002)	Loss 3.0196 (2.9306)	Prec@1 27.344 (31.379)	Prec@5 57.031 (61.119)
Epoch: [3][2590/14090]	Time 0.750 (0.755)	Data 0.001 (0.002)	Loss 2.8982 (2.9306)	Prec@1 31.250 (31.376)	Prec@5 63.281 (61.117)
Epoch: [3][2600/14090]	Time 0.739 (0.755)	Data 0.001 (0.002)	Loss 2.6838 (2.9304)	Prec@1 35.156 (31.376)	Prec@5 67.188 (61.126)
Epoch: [3][2610/14090]	Time 0.757 (0.755)	Data 0.001 (0.002)	Loss 3.2688 (2.9302)	Prec@1 26.562 (31.376)	Prec@5 56.250 (61.125)
Epoch: [3][2620/14090]	Time 0.738 (0.755)	Data 0.002 (0.002)	Loss 2.9974 (2.9298)	Prec@1 25.781 (31.382)	Prec@5 55.469 (61.125)
Epoch: [3][2630/14090]	Time 0.738 (0.755)	Data 0.001 (0.002)	Loss 2.9440 (2.9300)	Prec@1 31.250 (31.381)	Prec@5 63.281 (61.117)
Epoch: [3][2640/14090]	Time 0.759 (0.755)	Data 0.001 (0.002)	Loss 3.0372 (2.9299)	Prec@1 27.344 (31.381)	Prec@5 60.156 (61.120)
Epoch: [3][2650/14090]	Time 0.755 (0.755)	Data 0.001 (0.002)	Loss 2.6629 (2.9295)	Prec@1 33.594 (31.387)	Prec@5 64.844 (61.121)
Epoch: [3][2660/14090]	Time 0.758 (0.755)	Data 0.001 (0.002)	Loss 2.8213 (2.9297)	Prec@1 35.938 (31.386)	Prec@5 64.062 (61.117)
Epoch: [3][2670/14090]	Time 0.756 (0.755)	Data 0.001 (0.002)	Loss 3.0921 (2.9300)	Prec@1 26.562 (31.378)	Prec@5 59.375 (61.113)
Epoch: [3][2680/14090]	Time 0.740 (0.755)	Data 0.001 (0.002)	Loss 3.0957 (2.9299)	Prec@1 25.000 (31.375)	Prec@5 58.594 (61.119)
Epoch: [3][2690/14090]	Time 0.772 (0.755)	Data 0.002 (0.002)	Loss 2.5213 (2.9294)	Prec@1 41.406 (31.380)	Prec@5 68.750 (61.129)
Epoch: [3][2700/14090]	Time 0.744 (0.755)	Data 0.001 (0.002)	Loss 3.0191 (2.9293)	Prec@1 29.688 (31.380)	Prec@5 63.281 (61.134)
Epoch: [3][2710/14090]	Time 0.771 (0.755)	Data 0.001 (0.002)	Loss 2.9707 (2.9292)	Prec@1 28.906 (31.381)	Prec@5 61.719 (61.134)
Epoch: [3][2720/14090]	Time 0.748 (0.755)	Data 0.001 (0.002)	Loss 2.9140 (2.9288)	Prec@1 32.031 (31.388)	Prec@5 62.500 (61.139)
Epoch: [3][2730/14090]	Time 0.738 (0.755)	Data 0.001 (0.002)	Loss 2.7671 (2.9285)	Prec@1 39.844 (31.396)	Prec@5 64.844 (61.144)
Epoch: [3][2740/14090]	Time 0.757 (0.755)	Data 0.001 (0.002)	Loss 2.7460 (2.9285)	Prec@1 38.281 (31.399)	Prec@5 66.406 (61.141)
Epoch: [3][2750/14090]	Time 0.751 (0.755)	Data 0.003 (0.002)	Loss 2.9546 (2.9287)	Prec@1 30.469 (31.396)	Prec@5 66.406 (61.136)
Epoch: [3][2760/14090]	Time 0.776 (0.755)	Data 0.002 (0.002)	Loss 2.9205 (2.9287)	Prec@1 28.906 (31.401)	Prec@5 62.500 (61.142)
Epoch: [3][2770/14090]	Time 0.747 (0.755)	Data 0.001 (0.002)	Loss 2.7557 (2.9286)	Prec@1 29.688 (31.404)	Prec@5 59.375 (61.142)
Epoch: [3][2780/14090]	Time 0.770 (0.755)	Data 0.001 (0.002)	Loss 3.2665 (2.9287)	Prec@1 27.344 (31.403)	Prec@5 54.688 (61.140)
Epoch: [3][2790/14090]	Time 0.731 (0.755)	Data 0.001 (0.002)	Loss 3.1358 (2.9291)	Prec@1 29.688 (31.399)	Prec@5 57.812 (61.135)
Epoch: [3][2800/14090]	Time 0.757 (0.755)	Data 0.001 (0.002)	Loss 3.0289 (2.9294)	Prec@1 29.688 (31.396)	Prec@5 60.156 (61.125)
Epoch: [3][2810/14090]	Time 0.798 (0.755)	Data 0.001 (0.002)	Loss 2.6807 (2.9292)	Prec@1 32.031 (31.398)	Prec@5 61.719 (61.124)
Epoch: [3][2820/14090]	Time 0.756 (0.755)	Data 0.001 (0.002)	Loss 3.1353 (2.9292)	Prec@1 26.562 (31.399)	Prec@5 57.812 (61.129)
Epoch: [3][2830/14090]	Time 0.752 (0.755)	Data 0.002 (0.002)	Loss 2.9443 (2.9294)	Prec@1 35.156 (31.397)	Prec@5 60.156 (61.124)
Epoch: [3][2840/14090]	Time 0.745 (0.755)	Data 0.001 (0.002)	Loss 3.2238 (2.9293)	Prec@1 27.344 (31.402)	Prec@5 53.906 (61.124)
Epoch: [3][2850/14090]	Time 0.766 (0.755)	Data 0.001 (0.002)	Loss 3.1269 (2.9292)	Prec@1 30.469 (31.405)	Prec@5 60.938 (61.129)
Epoch: [3][2860/14090]	Time 0.757 (0.755)	Data 0.001 (0.002)	Loss 2.9217 (2.9295)	Prec@1 35.938 (31.399)	Prec@5 57.031 (61.122)
Epoch: [3][2870/14090]	Time 0.734 (0.755)	Data 0.001 (0.002)	Loss 3.1622 (2.9298)	Prec@1 28.125 (31.396)	Prec@5 54.688 (61.120)
Epoch: [3][2880/14090]	Time 0.771 (0.755)	Data 0.001 (0.002)	Loss 3.3279 (2.9298)	Prec@1 23.438 (31.394)	Prec@5 50.000 (61.115)
Epoch: [3][2890/14090]	Time 0.760 (0.755)	Data 0.001 (0.002)	Loss 2.8056 (2.9298)	Prec@1 35.938 (31.395)	Prec@5 61.719 (61.116)
Epoch: [3][2900/14090]	Time 0.734 (0.755)	Data 0.002 (0.002)	Loss 3.0652 (2.9301)	Prec@1 36.719 (31.395)	Prec@5 62.500 (61.110)
Epoch: [3][2910/14090]	Time 0.769 (0.755)	Data 0.001 (0.002)	Loss 2.8673 (2.9298)	Prec@1 38.281 (31.404)	Prec@5 62.500 (61.114)
Epoch: [3][2920/14090]	Time 0.736 (0.755)	Data 0.001 (0.002)	Loss 2.8200 (2.9297)	Prec@1 30.469 (31.403)	Prec@5 64.062 (61.118)
Epoch: [3][2930/14090]	Time 0.756 (0.755)	Data 0.001 (0.002)	Loss 2.7982 (2.9295)	Prec@1 37.500 (31.406)	Prec@5 65.625 (61.120)
Epoch: [3][2940/14090]	Time 0.746 (0.755)	Data 0.001 (0.002)	Loss 2.7819 (2.9295)	Prec@1 33.594 (31.404)	Prec@5 64.062 (61.118)
Epoch: [3][2950/14090]	Time 0.749 (0.755)	Data 0.001 (0.002)	Loss 2.8067 (2.9294)	Prec@1 36.719 (31.404)	Prec@5 63.281 (61.124)
Epoch: [3][2960/14090]	Time 0.768 (0.755)	Data 0.001 (0.002)	Loss 3.0537 (2.9294)	Prec@1 30.469 (31.405)	Prec@5 59.375 (61.122)
Epoch: [3][2970/14090]	Time 0.763 (0.755)	Data 0.002 (0.002)	Loss 3.1649 (2.9294)	Prec@1 25.000 (31.402)	Prec@5 54.688 (61.122)
Epoch: [3][2980/14090]	Time 0.778 (0.755)	Data 0.001 (0.002)	Loss 3.0794 (2.9299)	Prec@1 25.000 (31.396)	Prec@5 56.250 (61.113)
Epoch: [3][2990/14090]	Time 0.777 (0.755)	Data 0.001 (0.002)	Loss 3.0295 (2.9301)	Prec@1 25.781 (31.390)	Prec@5 63.281 (61.107)
Epoch: [3][3000/14090]	Time 0.760 (0.755)	Data 0.001 (0.002)	Loss 2.9311 (2.9304)	Prec@1 28.125 (31.380)	Prec@5 60.938 (61.100)
Epoch: [3][3010/14090]	Time 0.743 (0.755)	Data 0.001 (0.002)	Loss 3.1033 (2.9305)	Prec@1 25.781 (31.373)	Prec@5 57.812 (61.098)
Epoch: [3][3020/14090]	Time 0.757 (0.755)	Data 0.001 (0.002)	Loss 2.7473 (2.9307)	Prec@1 32.812 (31.364)	Prec@5 70.312 (61.097)
Epoch: [3][3030/14090]	Time 0.778 (0.755)	Data 0.001 (0.002)	Loss 2.8389 (2.9306)	Prec@1 35.938 (31.365)	Prec@5 64.844 (61.103)
Epoch: [3][3040/14090]	Time 0.772 (0.755)	Data 0.002 (0.002)	Loss 2.7645 (2.9306)	Prec@1 35.156 (31.361)	Prec@5 67.188 (61.107)
Epoch: [3][3050/14090]	Time 0.749 (0.755)	Data 0.001 (0.002)	Loss 2.9811 (2.9304)	Prec@1 29.688 (31.365)	Prec@5 60.156 (61.110)
Epoch: [3][3060/14090]	Time 0.749 (0.755)	Data 0.001 (0.002)	Loss 2.8327 (2.9305)	Prec@1 35.156 (31.367)	Prec@5 60.938 (61.105)
Epoch: [3][3070/14090]	Time 0.745 (0.755)	Data 0.001 (0.002)	Loss 2.9399 (2.9305)	Prec@1 25.781 (31.361)	Prec@5 57.812 (61.109)
Epoch: [3][3080/14090]	Time 0.763 (0.755)	Data 0.001 (0.002)	Loss 2.7012 (2.9304)	Prec@1 37.500 (31.359)	Prec@5 64.062 (61.109)
Epoch: [3][3090/14090]	Time 0.733 (0.755)	Data 0.001 (0.002)	Loss 2.9048 (2.9305)	Prec@1 32.031 (31.358)	Prec@5 64.062 (61.107)
Epoch: [3][3100/14090]	Time 0.783 (0.755)	Data 0.001 (0.002)	Loss 2.7312 (2.9300)	Prec@1 36.719 (31.367)	Prec@5 64.844 (61.116)
Epoch: [3][3110/14090]	Time 0.739 (0.755)	Data 0.001 (0.002)	Loss 3.1956 (2.9302)	Prec@1 28.906 (31.366)	Prec@5 53.125 (61.113)
Epoch: [3][3120/14090]	Time 0.755 (0.755)	Data 0.001 (0.002)	Loss 2.9414 (2.9300)	Prec@1 33.594 (31.367)	Prec@5 64.062 (61.115)
Epoch: [3][3130/14090]	Time 0.745 (0.755)	Data 0.001 (0.002)	Loss 2.9729 (2.9300)	Prec@1 32.031 (31.369)	Prec@5 58.594 (61.115)
Epoch: [3][3140/14090]	Time 0.767 (0.755)	Data 0.001 (0.002)	Loss 2.9942 (2.9302)	Prec@1 37.500 (31.363)	Prec@5 58.594 (61.106)
Epoch: [3][3150/14090]	Time 0.746 (0.755)	Data 0.001 (0.002)	Loss 2.8644 (2.9301)	Prec@1 34.375 (31.368)	Prec@5 63.281 (61.116)
Epoch: [3][3160/14090]	Time 0.738 (0.755)	Data 0.001 (0.002)	Loss 2.8251 (2.9302)	Prec@1 32.812 (31.369)	Prec@5 60.938 (61.114)
Epoch: [3][3170/14090]	Time 0.738 (0.755)	Data 0.001 (0.002)	Loss 3.0391 (2.9301)	Prec@1 34.375 (31.371)	Prec@5 57.031 (61.115)
Epoch: [3][3180/14090]	Time 0.758 (0.755)	Data 0.002 (0.002)	Loss 2.6919 (2.9299)	Prec@1 37.500 (31.370)	Prec@5 67.188 (61.121)
Epoch: [3][3190/14090]	Time 0.769 (0.755)	Data 0.001 (0.002)	Loss 2.7639 (2.9300)	Prec@1 30.469 (31.364)	Prec@5 70.312 (61.122)
Epoch: [3][3200/14090]	Time 0.759 (0.755)	Data 0.001 (0.002)	Loss 2.9140 (2.9302)	Prec@1 28.906 (31.362)	Prec@5 63.281 (61.117)
Epoch: [3][3210/14090]	Time 0.778 (0.755)	Data 0.001 (0.002)	Loss 2.6564 (2.9302)	Prec@1 33.594 (31.361)	Prec@5 67.188 (61.119)
Epoch: [3][3220/14090]	Time 0.771 (0.755)	Data 0.001 (0.002)	Loss 3.0514 (2.9303)	Prec@1 29.688 (31.357)	Prec@5 57.812 (61.122)
Epoch: [3][3230/14090]	Time 0.770 (0.755)	Data 0.001 (0.002)	Loss 2.9210 (2.9303)	Prec@1 33.594 (31.357)	Prec@5 64.062 (61.122)
Epoch: [3][3240/14090]	Time 0.755 (0.755)	Data 0.001 (0.002)	Loss 2.7015 (2.9299)	Prec@1 33.594 (31.359)	Prec@5 62.500 (61.130)
Epoch: [3][3250/14090]	Time 0.802 (0.755)	Data 0.002 (0.002)	Loss 2.8364 (2.9297)	Prec@1 32.031 (31.358)	Prec@5 64.844 (61.136)
Epoch: [3][3260/14090]	Time 0.741 (0.755)	Data 0.001 (0.002)	Loss 2.7076 (2.9296)	Prec@1 33.594 (31.359)	Prec@5 68.750 (61.141)
Epoch: [3][3270/14090]	Time 0.741 (0.755)	Data 0.001 (0.002)	Loss 3.0336 (2.9299)	Prec@1 28.125 (31.352)	Prec@5 56.250 (61.134)
Epoch: [3][3280/14090]	Time 0.764 (0.755)	Data 0.001 (0.002)	Loss 2.9453 (2.9299)	Prec@1 35.156 (31.353)	Prec@5 61.719 (61.133)
Epoch: [3][3290/14090]	Time 0.761 (0.755)	Data 0.001 (0.002)	Loss 2.7600 (2.9303)	Prec@1 28.906 (31.350)	Prec@5 61.719 (61.123)
Epoch: [3][3300/14090]	Time 0.752 (0.755)	Data 0.001 (0.002)	Loss 2.8927 (2.9303)	Prec@1 32.812 (31.348)	Prec@5 61.719 (61.124)
Epoch: [3][3310/14090]	Time 0.744 (0.755)	Data 0.001 (0.002)	Loss 3.0605 (2.9303)	Prec@1 23.438 (31.343)	Prec@5 53.906 (61.124)
Epoch: [3][3320/14090]	Time 0.755 (0.755)	Data 0.002 (0.002)	Loss 2.7122 (2.9305)	Prec@1 33.594 (31.342)	Prec@5 67.188 (61.124)
Epoch: [3][3330/14090]	Time 0.743 (0.755)	Data 0.001 (0.002)	Loss 3.0274 (2.9303)	Prec@1 28.906 (31.341)	Prec@5 58.594 (61.126)
Epoch: [3][3340/14090]	Time 0.774 (0.755)	Data 0.001 (0.002)	Loss 3.1230 (2.9303)	Prec@1 25.781 (31.343)	Prec@5 53.906 (61.125)
Epoch: [3][3350/14090]	Time 0.761 (0.755)	Data 0.001 (0.002)	Loss 2.8762 (2.9303)	Prec@1 28.125 (31.340)	Prec@5 61.719 (61.119)
Epoch: [3][3360/14090]	Time 0.754 (0.755)	Data 0.001 (0.002)	Loss 3.3252 (2.9301)	Prec@1 21.875 (31.344)	Prec@5 49.219 (61.119)
Epoch: [3][3370/14090]	Time 0.770 (0.755)	Data 0.001 (0.002)	Loss 3.2375 (2.9303)	Prec@1 25.000 (31.339)	Prec@5 53.906 (61.112)
Epoch: [3][3380/14090]	Time 0.726 (0.755)	Data 0.001 (0.002)	Loss 2.9870 (2.9302)	Prec@1 28.125 (31.337)	Prec@5 60.156 (61.115)
Epoch: [3][3390/14090]	Time 0.757 (0.755)	Data 0.002 (0.002)	Loss 2.7830 (2.9303)	Prec@1 35.156 (31.334)	Prec@5 60.156 (61.111)
Epoch: [3][3400/14090]	Time 0.759 (0.755)	Data 0.001 (0.002)	Loss 3.0984 (2.9304)	Prec@1 26.562 (31.330)	Prec@5 57.031 (61.113)
Epoch: [3][3410/14090]	Time 0.746 (0.755)	Data 0.001 (0.002)	Loss 2.8562 (2.9304)	Prec@1 30.469 (31.329)	Prec@5 59.375 (61.114)
Epoch: [3][3420/14090]	Time 0.758 (0.755)	Data 0.001 (0.002)	Loss 3.1430 (2.9304)	Prec@1 28.125 (31.332)	Prec@5 56.250 (61.114)
Epoch: [3][3430/14090]	Time 0.771 (0.755)	Data 0.001 (0.002)	Loss 2.9154 (2.9306)	Prec@1 34.375 (31.328)	Prec@5 64.844 (61.111)
Epoch: [3][3440/14090]	Time 0.735 (0.755)	Data 0.001 (0.002)	Loss 3.0378 (2.9309)	Prec@1 32.031 (31.318)	Prec@5 59.375 (61.107)
Epoch: [3][3450/14090]	Time 0.742 (0.755)	Data 0.001 (0.002)	Loss 2.5959 (2.9305)	Prec@1 35.938 (31.325)	Prec@5 68.750 (61.119)
Epoch: [3][3460/14090]	Time 0.745 (0.755)	Data 0.002 (0.002)	Loss 2.7803 (2.9306)	Prec@1 33.594 (31.325)	Prec@5 61.719 (61.117)
Epoch: [3][3470/14090]	Time 0.765 (0.755)	Data 0.001 (0.002)	Loss 2.7718 (2.9306)	Prec@1 31.250 (31.329)	Prec@5 67.969 (61.120)
Epoch: [3][3480/14090]	Time 0.741 (0.755)	Data 0.001 (0.002)	Loss 2.9747 (2.9307)	Prec@1 27.344 (31.327)	Prec@5 62.500 (61.116)
Epoch: [3][3490/14090]	Time 0.763 (0.755)	Data 0.001 (0.002)	Loss 2.7670 (2.9307)	Prec@1 35.156 (31.324)	Prec@5 64.844 (61.113)
Epoch: [3][3500/14090]	Time 0.734 (0.755)	Data 0.001 (0.002)	Loss 2.6591 (2.9306)	Prec@1 36.719 (31.329)	Prec@5 63.281 (61.114)
Epoch: [3][3510/14090]	Time 0.757 (0.755)	Data 0.001 (0.002)	Loss 2.9737 (2.9305)	Prec@1 29.688 (31.329)	Prec@5 61.719 (61.114)
Epoch: [3][3520/14090]	Time 0.739 (0.755)	Data 0.001 (0.002)	Loss 2.7749 (2.9307)	Prec@1 31.250 (31.326)	Prec@5 63.281 (61.108)
Epoch: [3][3530/14090]	Time 0.749 (0.755)	Data 0.002 (0.002)	Loss 2.9865 (2.9308)	Prec@1 24.219 (31.324)	Prec@5 66.406 (61.107)
Epoch: [3][3540/14090]	Time 0.726 (0.755)	Data 0.001 (0.002)	Loss 2.9789 (2.9307)	Prec@1 32.812 (31.324)	Prec@5 64.844 (61.109)
Epoch: [3][3550/14090]	Time 0.755 (0.755)	Data 0.001 (0.002)	Loss 3.2033 (2.9308)	Prec@1 26.562 (31.323)	Prec@5 54.688 (61.107)
Epoch: [3][3560/14090]	Time 0.776 (0.755)	Data 0.001 (0.002)	Loss 2.8829 (2.9307)	Prec@1 32.031 (31.327)	Prec@5 62.500 (61.108)
Epoch: [3][3570/14090]	Time 0.754 (0.755)	Data 0.001 (0.002)	Loss 2.8992 (2.9308)	Prec@1 33.594 (31.327)	Prec@5 61.719 (61.107)
Epoch: [3][3580/14090]	Time 0.763 (0.755)	Data 0.001 (0.002)	Loss 2.6502 (2.9307)	Prec@1 31.250 (31.325)	Prec@5 66.406 (61.108)
Epoch: [3][3590/14090]	Time 0.735 (0.755)	Data 0.001 (0.002)	Loss 2.7832 (2.9307)	Prec@1 42.188 (31.325)	Prec@5 60.938 (61.109)
Epoch: [3][3600/14090]	Time 0.752 (0.755)	Data 0.002 (0.002)	Loss 3.0377 (2.9306)	Prec@1 32.812 (31.327)	Prec@5 61.719 (61.110)
Epoch: [3][3610/14090]	Time 0.756 (0.755)	Data 0.001 (0.002)	Loss 3.0532 (2.9307)	Prec@1 32.812 (31.321)	Prec@5 64.844 (61.109)
Epoch: [3][3620/14090]	Time 0.750 (0.755)	Data 0.001 (0.002)	Loss 3.0841 (2.9305)	Prec@1 25.000 (31.326)	Prec@5 61.719 (61.116)
Epoch: [3][3630/14090]	Time 0.752 (0.755)	Data 0.001 (0.002)	Loss 3.1345 (2.9307)	Prec@1 28.125 (31.325)	Prec@5 56.250 (61.110)
Epoch: [3][3640/14090]	Time 0.743 (0.755)	Data 0.001 (0.002)	Loss 3.2703 (2.9309)	Prec@1 28.125 (31.314)	Prec@5 55.469 (61.108)
Epoch: [3][3650/14090]	Time 0.756 (0.755)	Data 0.001 (0.002)	Loss 2.8466 (2.9310)	Prec@1 32.031 (31.309)	Prec@5 61.719 (61.104)
Epoch: [3][3660/14090]	Time 0.750 (0.755)	Data 0.001 (0.002)	Loss 2.7535 (2.9310)	Prec@1 37.500 (31.311)	Prec@5 64.844 (61.104)
Epoch: [3][3670/14090]	Time 0.770 (0.755)	Data 0.002 (0.002)	Loss 2.7861 (2.9310)	Prec@1 36.719 (31.316)	Prec@5 62.500 (61.105)
Epoch: [3][3680/14090]	Time 0.770 (0.755)	Data 0.001 (0.002)	Loss 3.0964 (2.9309)	Prec@1 25.781 (31.318)	Prec@5 57.031 (61.107)
Epoch: [3][3690/14090]	Time 0.773 (0.755)	Data 0.001 (0.002)	Loss 2.8518 (2.9306)	Prec@1 35.156 (31.324)	Prec@5 66.406 (61.110)
Epoch: [3][3700/14090]	Time 0.751 (0.755)	Data 0.001 (0.002)	Loss 2.8479 (2.9306)	Prec@1 35.938 (31.323)	Prec@5 60.938 (61.109)
Epoch: [3][3710/14090]	Time 0.735 (0.755)	Data 0.001 (0.002)	Loss 2.8646 (2.9306)	Prec@1 37.500 (31.326)	Prec@5 60.156 (61.106)
Epoch: [3][3720/14090]	Time 0.741 (0.755)	Data 0.001 (0.002)	Loss 2.8169 (2.9306)	Prec@1 36.719 (31.327)	Prec@5 60.156 (61.108)
Epoch: [3][3730/14090]	Time 0.759 (0.755)	Data 0.001 (0.002)	Loss 2.5929 (2.9302)	Prec@1 35.938 (31.330)	Prec@5 68.750 (61.118)
Epoch: [3][3740/14090]	Time 0.759 (0.755)	Data 0.002 (0.002)	Loss 2.7990 (2.9301)	Prec@1 33.594 (31.327)	Prec@5 66.406 (61.126)
Epoch: [3][3750/14090]	Time 0.743 (0.755)	Data 0.001 (0.002)	Loss 2.7624 (2.9300)	Prec@1 32.812 (31.324)	Prec@5 64.844 (61.127)
Epoch: [3][3760/14090]	Time 0.732 (0.755)	Data 0.001 (0.002)	Loss 2.4461 (2.9297)	Prec@1 41.406 (31.330)	Prec@5 72.656 (61.139)
Epoch: [3][3770/14090]	Time 0.776 (0.755)	Data 0.001 (0.002)	Loss 2.9611 (2.9299)	Prec@1 28.906 (31.329)	Prec@5 64.062 (61.135)
Epoch: [3][3780/14090]	Time 0.753 (0.755)	Data 0.001 (0.002)	Loss 3.0478 (2.9300)	Prec@1 31.250 (31.329)	Prec@5 63.281 (61.135)
Epoch: [3][3790/14090]	Time 0.746 (0.755)	Data 0.001 (0.002)	Loss 2.8081 (2.9303)	Prec@1 31.250 (31.324)	Prec@5 64.844 (61.131)
Epoch: [3][3800/14090]	Time 0.735 (0.755)	Data 0.001 (0.002)	Loss 3.0882 (2.9304)	Prec@1 32.812 (31.323)	Prec@5 58.594 (61.132)
Epoch: [3][3810/14090]	Time 0.737 (0.755)	Data 0.002 (0.002)	Loss 2.8818 (2.9302)	Prec@1 35.156 (31.326)	Prec@5 60.938 (61.137)
Epoch: [3][3820/14090]	Time 0.730 (0.754)	Data 0.001 (0.002)	Loss 3.1022 (2.9302)	Prec@1 31.250 (31.327)	Prec@5 57.812 (61.138)
Epoch: [3][3830/14090]	Time 0.740 (0.754)	Data 0.001 (0.002)	Loss 3.0603 (2.9300)	Prec@1 31.250 (31.325)	Prec@5 58.594 (61.144)
Epoch: [3][3840/14090]	Time 0.756 (0.754)	Data 0.001 (0.002)	Loss 2.7560 (2.9300)	Prec@1 39.844 (31.324)	Prec@5 68.750 (61.143)
Epoch: [3][3850/14090]	Time 0.756 (0.754)	Data 0.001 (0.002)	Loss 3.0485 (2.9300)	Prec@1 31.250 (31.325)	Prec@5 57.812 (61.139)
Epoch: [3][3860/14090]	Time 0.751 (0.754)	Data 0.001 (0.002)	Loss 2.6383 (2.9300)	Prec@1 36.719 (31.328)	Prec@5 63.281 (61.139)
Epoch: [3][3870/14090]	Time 0.769 (0.754)	Data 0.001 (0.002)	Loss 2.9173 (2.9298)	Prec@1 32.031 (31.331)	Prec@5 61.719 (61.142)
Epoch: [3][3880/14090]	Time 0.755 (0.754)	Data 0.002 (0.002)	Loss 2.8721 (2.9297)	Prec@1 33.594 (31.331)	Prec@5 60.938 (61.138)
Epoch: [3][3890/14090]	Time 0.746 (0.754)	Data 0.001 (0.002)	Loss 3.1131 (2.9299)	Prec@1 31.250 (31.330)	Prec@5 58.594 (61.137)
Epoch: [3][3900/14090]	Time 0.756 (0.754)	Data 0.001 (0.002)	Loss 2.9718 (2.9298)	Prec@1 28.125 (31.330)	Prec@5 56.250 (61.139)
Epoch: [3][3910/14090]	Time 0.765 (0.754)	Data 0.001 (0.002)	Loss 2.9740 (2.9298)	Prec@1 28.906 (31.330)	Prec@5 58.594 (61.138)
Epoch: [3][3920/14090]	Time 0.762 (0.754)	Data 0.001 (0.002)	Loss 2.7001 (2.9297)	Prec@1 39.062 (31.329)	Prec@5 62.500 (61.141)
Epoch: [3][3930/14090]	Time 0.740 (0.754)	Data 0.001 (0.002)	Loss 2.9432 (2.9297)	Prec@1 32.812 (31.330)	Prec@5 61.719 (61.138)
Epoch: [3][3940/14090]	Time 0.727 (0.754)	Data 0.001 (0.002)	Loss 2.9392 (2.9296)	Prec@1 33.594 (31.332)	Prec@5 58.594 (61.140)
Epoch: [3][3950/14090]	Time 0.786 (0.754)	Data 0.002 (0.002)	Loss 2.7429 (2.9294)	Prec@1 30.469 (31.338)	Prec@5 64.062 (61.145)
Epoch: [3][3960/14090]	Time 0.770 (0.754)	Data 0.001 (0.002)	Loss 2.4269 (2.9291)	Prec@1 36.719 (31.342)	Prec@5 72.656 (61.150)
Epoch: [3][3970/14090]	Time 0.788 (0.754)	Data 0.001 (0.002)	Loss 2.7375 (2.9291)	Prec@1 35.938 (31.342)	Prec@5 66.406 (61.149)
Epoch: [3][3980/14090]	Time 0.746 (0.754)	Data 0.001 (0.002)	Loss 2.8552 (2.9291)	Prec@1 35.156 (31.343)	Prec@5 61.719 (61.151)
Epoch: [3][3990/14090]	Time 0.764 (0.754)	Data 0.001 (0.002)	Loss 2.9197 (2.9292)	Prec@1 35.156 (31.340)	Prec@5 60.156 (61.149)
Epoch: [3][4000/14090]	Time 0.750 (0.754)	Data 0.001 (0.002)	Loss 2.7208 (2.9293)	Prec@1 35.156 (31.338)	Prec@5 64.062 (61.146)
Epoch: [3][4010/14090]	Time 0.758 (0.754)	Data 0.001 (0.002)	Loss 2.8342 (2.9293)	Prec@1 32.812 (31.338)	Prec@5 64.844 (61.147)
Epoch: [3][4020/14090]	Time 0.728 (0.754)	Data 0.002 (0.002)	Loss 2.9399 (2.9294)	Prec@1 28.906 (31.338)	Prec@5 58.594 (61.147)
Epoch: [3][4030/14090]	Time 0.780 (0.754)	Data 0.001 (0.002)	Loss 2.9608 (2.9293)	Prec@1 30.469 (31.338)	Prec@5 58.594 (61.147)
Epoch: [3][4040/14090]	Time 0.742 (0.754)	Data 0.001 (0.002)	Loss 2.8088 (2.9291)	Prec@1 32.812 (31.340)	Prec@5 58.594 (61.144)
Epoch: [3][4050/14090]	Time 0.756 (0.754)	Data 0.001 (0.002)	Loss 2.7575 (2.9290)	Prec@1 38.281 (31.347)	Prec@5 65.625 (61.145)
Epoch: [3][4060/14090]	Time 0.755 (0.754)	Data 0.001 (0.002)	Loss 2.9238 (2.9289)	Prec@1 29.688 (31.343)	Prec@5 60.938 (61.147)
Epoch: [3][4070/14090]	Time 0.758 (0.754)	Data 0.001 (0.002)	Loss 2.9686 (2.9289)	Prec@1 31.250 (31.346)	Prec@5 60.938 (61.144)
Epoch: [3][4080/14090]	Time 0.747 (0.754)	Data 0.001 (0.002)	Loss 2.7652 (2.9289)	Prec@1 36.719 (31.340)	Prec@5 67.969 (61.146)
Epoch: [3][4090/14090]	Time 0.747 (0.754)	Data 0.002 (0.002)	Loss 2.9691 (2.9289)	Prec@1 29.688 (31.341)	Prec@5 63.281 (61.149)
Epoch: [3][4100/14090]	Time 0.760 (0.754)	Data 0.001 (0.002)	Loss 3.0759 (2.9289)	Prec@1 28.906 (31.338)	Prec@5 56.250 (61.150)
Epoch: [3][4110/14090]	Time 0.774 (0.754)	Data 0.001 (0.002)	Loss 2.7094 (2.9287)	Prec@1 34.375 (31.339)	Prec@5 67.188 (61.152)
Epoch: [3][4120/14090]	Time 0.785 (0.754)	Data 0.001 (0.002)	Loss 2.7887 (2.9285)	Prec@1 39.062 (31.344)	Prec@5 62.500 (61.156)
Epoch: [3][4130/14090]	Time 0.746 (0.754)	Data 0.001 (0.002)	Loss 2.9991 (2.9288)	Prec@1 28.906 (31.337)	Prec@5 53.906 (61.148)
Epoch: [3][4140/14090]	Time 0.751 (0.754)	Data 0.001 (0.002)	Loss 2.8739 (2.9289)	Prec@1 29.688 (31.334)	Prec@5 60.156 (61.147)
Epoch: [3][4150/14090]	Time 0.754 (0.754)	Data 0.004 (0.002)	Loss 3.0111 (2.9290)	Prec@1 31.250 (31.334)	Prec@5 57.031 (61.147)
Epoch: [3][4160/14090]	Time 0.739 (0.754)	Data 0.002 (0.002)	Loss 2.9012 (2.9291)	Prec@1 34.375 (31.333)	Prec@5 62.500 (61.146)
Epoch: [3][4170/14090]	Time 0.757 (0.754)	Data 0.001 (0.002)	Loss 2.9451 (2.9292)	Prec@1 31.250 (31.331)	Prec@5 64.062 (61.144)
Epoch: [3][4180/14090]	Time 0.764 (0.754)	Data 0.001 (0.002)	Loss 2.9931 (2.9293)	Prec@1 35.156 (31.329)	Prec@5 58.594 (61.142)
Epoch: [3][4190/14090]	Time 0.748 (0.754)	Data 0.001 (0.002)	Loss 2.9705 (2.9294)	Prec@1 32.031 (31.327)	Prec@5 57.812 (61.141)
Epoch: [3][4200/14090]	Time 0.751 (0.754)	Data 0.001 (0.002)	Loss 3.0477 (2.9295)	Prec@1 30.469 (31.327)	Prec@5 57.031 (61.142)
Epoch: [3][4210/14090]	Time 0.766 (0.754)	Data 0.001 (0.002)	Loss 3.2386 (2.9295)	Prec@1 28.906 (31.327)	Prec@5 56.250 (61.142)
Epoch: [3][4220/14090]	Time 0.754 (0.754)	Data 0.001 (0.002)	Loss 3.0454 (2.9294)	Prec@1 25.000 (31.327)	Prec@5 59.375 (61.144)
Epoch: [3][4230/14090]	Time 0.736 (0.754)	Data 0.002 (0.002)	Loss 2.8361 (2.9294)	Prec@1 33.594 (31.327)	Prec@5 60.156 (61.141)
Epoch: [3][4240/14090]	Time 0.775 (0.754)	Data 0.001 (0.002)	Loss 2.8904 (2.9294)	Prec@1 31.250 (31.327)	Prec@5 68.750 (61.144)
Epoch: [3][4250/14090]	Time 0.738 (0.754)	Data 0.001 (0.002)	Loss 2.7052 (2.9293)	Prec@1 32.031 (31.328)	Prec@5 64.844 (61.146)
Epoch: [3][4260/14090]	Time 0.766 (0.754)	Data 0.001 (0.002)	Loss 3.0137 (2.9293)	Prec@1 30.469 (31.325)	Prec@5 63.281 (61.147)
Epoch: [3][4270/14090]	Time 0.764 (0.754)	Data 0.001 (0.002)	Loss 2.9491 (2.9292)	Prec@1 32.812 (31.329)	Prec@5 62.500 (61.151)
Epoch: [3][4280/14090]	Time 0.724 (0.754)	Data 0.001 (0.002)	Loss 3.0398 (2.9292)	Prec@1 32.031 (31.329)	Prec@5 58.594 (61.150)
Epoch: [3][4290/14090]	Time 0.741 (0.754)	Data 0.001 (0.002)	Loss 3.0193 (2.9294)	Prec@1 32.031 (31.325)	Prec@5 60.156 (61.147)
Epoch: [3][4300/14090]	Time 0.744 (0.754)	Data 0.002 (0.002)	Loss 2.9864 (2.9294)	Prec@1 31.250 (31.323)	Prec@5 64.844 (61.148)
Epoch: [3][4310/14090]	Time 0.753 (0.754)	Data 0.001 (0.002)	Loss 2.9067 (2.9296)	Prec@1 31.250 (31.320)	Prec@5 63.281 (61.147)
Epoch: [3][4320/14090]	Time 0.738 (0.754)	Data 0.001 (0.002)	Loss 3.0385 (2.9295)	Prec@1 32.812 (31.325)	Prec@5 60.938 (61.148)
Epoch: [3][4330/14090]	Time 0.775 (0.754)	Data 0.001 (0.002)	Loss 2.7596 (2.9295)	Prec@1 37.500 (31.328)	Prec@5 60.938 (61.147)
Epoch: [3][4340/14090]	Time 0.761 (0.754)	Data 0.001 (0.002)	Loss 2.9017 (2.9295)	Prec@1 28.906 (31.329)	Prec@5 64.844 (61.146)
Epoch: [3][4350/14090]	Time 0.735 (0.754)	Data 0.001 (0.002)	Loss 3.0203 (2.9294)	Prec@1 32.812 (31.330)	Prec@5 57.812 (61.148)
Epoch: [3][4360/14090]	Time 0.738 (0.754)	Data 0.001 (0.002)	Loss 2.8576 (2.9293)	Prec@1 36.719 (31.332)	Prec@5 61.719 (61.154)
Epoch: [3][4370/14090]	Time 0.754 (0.754)	Data 0.002 (0.002)	Loss 2.9811 (2.9293)	Prec@1 31.250 (31.330)	Prec@5 55.469 (61.153)
Epoch: [3][4380/14090]	Time 0.758 (0.754)	Data 0.001 (0.002)	Loss 3.0346 (2.9293)	Prec@1 27.344 (31.331)	Prec@5 53.125 (61.154)
Epoch: [3][4390/14090]	Time 0.750 (0.754)	Data 0.001 (0.002)	Loss 2.6766 (2.9292)	Prec@1 46.094 (31.333)	Prec@5 70.312 (61.157)
Epoch: [3][4400/14090]	Time 0.757 (0.754)	Data 0.001 (0.002)	Loss 2.6909 (2.9290)	Prec@1 33.594 (31.336)	Prec@5 64.062 (61.163)
Epoch: [3][4410/14090]	Time 0.749 (0.754)	Data 0.001 (0.002)	Loss 2.9618 (2.9289)	Prec@1 32.031 (31.342)	Prec@5 62.500 (61.166)
Epoch: [3][4420/14090]	Time 0.769 (0.754)	Data 0.001 (0.002)	Loss 2.6275 (2.9290)	Prec@1 33.594 (31.336)	Prec@5 67.188 (61.165)
Epoch: [3][4430/14090]	Time 0.763 (0.754)	Data 0.001 (0.002)	Loss 2.7523 (2.9289)	Prec@1 41.406 (31.340)	Prec@5 64.844 (61.171)
Epoch: [3][4440/14090]	Time 0.746 (0.754)	Data 0.002 (0.002)	Loss 2.9024 (2.9290)	Prec@1 33.594 (31.336)	Prec@5 63.281 (61.169)
Epoch: [3][4450/14090]	Time 0.741 (0.754)	Data 0.001 (0.002)	Loss 2.9977 (2.9291)	Prec@1 30.469 (31.337)	Prec@5 58.594 (61.170)
Epoch: [3][4460/14090]	Time 0.760 (0.754)	Data 0.001 (0.002)	Loss 2.8574 (2.9289)	Prec@1 28.125 (31.342)	Prec@5 63.281 (61.175)
Epoch: [3][4470/14090]	Time 0.761 (0.754)	Data 0.001 (0.002)	Loss 2.8892 (2.9289)	Prec@1 29.688 (31.339)	Prec@5 61.719 (61.172)
Epoch: [3][4480/14090]	Time 0.757 (0.754)	Data 0.001 (0.002)	Loss 3.1575 (2.9288)	Prec@1 27.344 (31.338)	Prec@5 57.031 (61.174)
Epoch: [3][4490/14090]	Time 0.782 (0.754)	Data 0.001 (0.002)	Loss 2.9218 (2.9287)	Prec@1 34.375 (31.344)	Prec@5 57.031 (61.180)
Epoch: [3][4500/14090]	Time 0.734 (0.754)	Data 0.001 (0.002)	Loss 2.9891 (2.9286)	Prec@1 31.250 (31.343)	Prec@5 57.031 (61.181)
Epoch: [3][4510/14090]	Time 0.744 (0.754)	Data 0.002 (0.002)	Loss 2.8997 (2.9287)	Prec@1 33.594 (31.342)	Prec@5 61.719 (61.182)
Epoch: [3][4520/14090]	Time 0.749 (0.754)	Data 0.001 (0.002)	Loss 2.8672 (2.9287)	Prec@1 33.594 (31.339)	Prec@5 68.750 (61.185)
Epoch: [3][4530/14090]	Time 0.780 (0.754)	Data 0.001 (0.002)	Loss 2.5868 (2.9286)	Prec@1 35.938 (31.341)	Prec@5 67.969 (61.188)
Epoch: [3][4540/14090]	Time 0.737 (0.754)	Data 0.001 (0.002)	Loss 2.9628 (2.9288)	Prec@1 27.344 (31.336)	Prec@5 60.156 (61.183)
Epoch: [3][4550/14090]	Time 0.726 (0.754)	Data 0.001 (0.002)	Loss 3.0064 (2.9288)	Prec@1 33.594 (31.336)	Prec@5 61.719 (61.185)
Epoch: [3][4560/14090]	Time 0.761 (0.754)	Data 0.001 (0.002)	Loss 2.8544 (2.9289)	Prec@1 32.031 (31.333)	Prec@5 62.500 (61.184)
Epoch: [3][4570/14090]	Time 0.755 (0.754)	Data 0.001 (0.002)	Loss 3.1345 (2.9290)	Prec@1 28.125 (31.330)	Prec@5 54.688 (61.178)
Epoch: [3][4580/14090]	Time 0.741 (0.754)	Data 0.002 (0.002)	Loss 2.8462 (2.9290)	Prec@1 30.469 (31.331)	Prec@5 57.812 (61.176)
Epoch: [3][4590/14090]	Time 0.782 (0.754)	Data 0.001 (0.002)	Loss 2.9722 (2.9292)	Prec@1 29.688 (31.326)	Prec@5 57.812 (61.173)
Epoch: [3][4600/14090]	Time 0.748 (0.754)	Data 0.001 (0.002)	Loss 2.8305 (2.9292)	Prec@1 34.375 (31.323)	Prec@5 67.188 (61.173)
Epoch: [3][4610/14090]	Time 0.777 (0.754)	Data 0.001 (0.002)	Loss 2.9033 (2.9291)	Prec@1 36.719 (31.327)	Prec@5 63.281 (61.178)
Epoch: [3][4620/14090]	Time 0.730 (0.754)	Data 0.001 (0.002)	Loss 3.3531 (2.9294)	Prec@1 21.875 (31.320)	Prec@5 53.125 (61.170)
Epoch: [3][4630/14090]	Time 0.759 (0.754)	Data 0.001 (0.002)	Loss 3.0197 (2.9294)	Prec@1 23.438 (31.322)	Prec@5 58.594 (61.168)
Epoch: [3][4640/14090]	Time 0.758 (0.754)	Data 0.001 (0.002)	Loss 2.7068 (2.9294)	Prec@1 31.250 (31.322)	Prec@5 67.188 (61.170)
Epoch: [3][4650/14090]	Time 0.746 (0.754)	Data 0.002 (0.002)	Loss 2.9644 (2.9292)	Prec@1 25.000 (31.321)	Prec@5 63.281 (61.176)
Epoch: [3][4660/14090]	Time 0.770 (0.754)	Data 0.001 (0.002)	Loss 2.9960 (2.9295)	Prec@1 32.031 (31.319)	Prec@5 62.500 (61.172)
Epoch: [3][4670/14090]	Time 0.745 (0.754)	Data 0.001 (0.002)	Loss 3.1497 (2.9294)	Prec@1 28.906 (31.320)	Prec@5 53.125 (61.173)
Epoch: [3][4680/14090]	Time 0.764 (0.754)	Data 0.001 (0.002)	Loss 3.2330 (2.9296)	Prec@1 28.125 (31.318)	Prec@5 60.156 (61.169)
Epoch: [3][4690/14090]	Time 0.740 (0.754)	Data 0.001 (0.002)	Loss 2.7871 (2.9297)	Prec@1 35.938 (31.319)	Prec@5 61.719 (61.166)
Epoch: [3][4700/14090]	Time 0.755 (0.754)	Data 0.001 (0.002)	Loss 2.9225 (2.9296)	Prec@1 30.469 (31.319)	Prec@5 61.719 (61.165)
Epoch: [3][4710/14090]	Time 0.742 (0.754)	Data 0.001 (0.002)	Loss 3.0722 (2.9297)	Prec@1 28.906 (31.318)	Prec@5 56.250 (61.164)
Epoch: [3][4720/14090]	Time 0.737 (0.754)	Data 0.002 (0.002)	Loss 2.8496 (2.9296)	Prec@1 35.156 (31.319)	Prec@5 60.156 (61.166)
Epoch: [3][4730/14090]	Time 0.733 (0.754)	Data 0.002 (0.002)	Loss 3.0456 (2.9295)	Prec@1 30.469 (31.322)	Prec@5 57.812 (61.171)
Epoch: [3][4740/14090]	Time 0.732 (0.754)	Data 0.001 (0.002)	Loss 2.5444 (2.9294)	Prec@1 39.062 (31.327)	Prec@5 70.312 (61.174)
Epoch: [3][4750/14090]	Time 0.759 (0.754)	Data 0.001 (0.002)	Loss 2.7496 (2.9295)	Prec@1 28.906 (31.330)	Prec@5 67.969 (61.172)
Epoch: [3][4760/14090]	Time 0.736 (0.754)	Data 0.001 (0.002)	Loss 2.9558 (2.9297)	Prec@1 32.812 (31.324)	Prec@5 54.688 (61.168)
Epoch: [3][4770/14090]	Time 0.757 (0.754)	Data 0.001 (0.002)	Loss 2.8922 (2.9296)	Prec@1 31.250 (31.326)	Prec@5 62.500 (61.172)
Epoch: [3][4780/14090]	Time 0.726 (0.754)	Data 0.001 (0.002)	Loss 2.7436 (2.9296)	Prec@1 37.500 (31.329)	Prec@5 64.062 (61.172)
Epoch: [3][4790/14090]	Time 0.753 (0.754)	Data 0.002 (0.002)	Loss 2.9006 (2.9294)	Prec@1 36.719 (31.330)	Prec@5 58.594 (61.175)
Epoch: [3][4800/14090]	Time 0.763 (0.754)	Data 0.001 (0.002)	Loss 2.8918 (2.9292)	Prec@1 32.031 (31.333)	Prec@5 59.375 (61.178)
Epoch: [3][4810/14090]	Time 0.756 (0.754)	Data 0.001 (0.002)	Loss 2.6539 (2.9293)	Prec@1 39.844 (31.333)	Prec@5 64.062 (61.178)
Epoch: [3][4820/14090]	Time 0.749 (0.754)	Data 0.001 (0.002)	Loss 3.1869 (2.9291)	Prec@1 24.219 (31.339)	Prec@5 52.344 (61.180)
Epoch: [3][4830/14090]	Time 0.763 (0.754)	Data 0.001 (0.002)	Loss 2.9866 (2.9287)	Prec@1 30.469 (31.347)	Prec@5 58.594 (61.189)
Epoch: [3][4840/14090]	Time 0.770 (0.754)	Data 0.001 (0.002)	Loss 2.4476 (2.9287)	Prec@1 39.062 (31.346)	Prec@5 74.219 (61.191)
Epoch: [3][4850/14090]	Time 0.762 (0.754)	Data 0.001 (0.002)	Loss 2.7943 (2.9287)	Prec@1 36.719 (31.347)	Prec@5 64.844 (61.191)
Epoch: [3][4860/14090]	Time 0.733 (0.754)	Data 0.002 (0.002)	Loss 3.2399 (2.9286)	Prec@1 28.125 (31.349)	Prec@5 50.000 (61.190)
Epoch: [3][4870/14090]	Time 0.755 (0.754)	Data 0.001 (0.002)	Loss 2.7650 (2.9285)	Prec@1 30.469 (31.353)	Prec@5 68.750 (61.193)
Epoch: [3][4880/14090]	Time 0.732 (0.754)	Data 0.001 (0.002)	Loss 2.6204 (2.9283)	Prec@1 39.844 (31.356)	Prec@5 66.406 (61.196)
Epoch: [3][4890/14090]	Time 0.755 (0.754)	Data 0.001 (0.002)	Loss 2.7444 (2.9284)	Prec@1 38.281 (31.354)	Prec@5 67.188 (61.197)
Epoch: [3][4900/14090]	Time 0.765 (0.754)	Data 0.001 (0.002)	Loss 3.2662 (2.9284)	Prec@1 19.531 (31.352)	Prec@5 50.781 (61.195)
Epoch: [3][4910/14090]	Time 0.735 (0.754)	Data 0.001 (0.002)	Loss 3.0076 (2.9285)	Prec@1 27.344 (31.353)	Prec@5 60.938 (61.194)
Epoch: [3][4920/14090]	Time 0.768 (0.754)	Data 0.001 (0.002)	Loss 2.7713 (2.9283)	Prec@1 29.688 (31.354)	Prec@5 60.156 (61.195)
Epoch: [3][4930/14090]	Time 0.740 (0.754)	Data 0.002 (0.002)	Loss 3.0445 (2.9284)	Prec@1 26.562 (31.355)	Prec@5 55.469 (61.194)
Epoch: [3][4940/14090]	Time 0.773 (0.754)	Data 0.001 (0.002)	Loss 2.8896 (2.9284)	Prec@1 33.594 (31.358)	Prec@5 59.375 (61.193)
Epoch: [3][4950/14090]	Time 0.759 (0.754)	Data 0.001 (0.002)	Loss 2.8692 (2.9282)	Prec@1 33.594 (31.362)	Prec@5 63.281 (61.197)
Epoch: [3][4960/14090]	Time 0.739 (0.754)	Data 0.001 (0.002)	Loss 2.8215 (2.9281)	Prec@1 28.906 (31.362)	Prec@5 64.844 (61.196)
Epoch: [3][4970/14090]	Time 0.767 (0.754)	Data 0.001 (0.002)	Loss 2.7438 (2.9282)	Prec@1 38.281 (31.360)	Prec@5 63.281 (61.194)
Epoch: [3][4980/14090]	Time 0.750 (0.754)	Data 0.001 (0.002)	Loss 3.0814 (2.9280)	Prec@1 29.688 (31.362)	Prec@5 59.375 (61.196)
Epoch: [3][4990/14090]	Time 0.771 (0.754)	Data 0.001 (0.002)	Loss 3.0000 (2.9279)	Prec@1 32.812 (31.368)	Prec@5 60.156 (61.199)
Epoch: [3][5000/14090]	Time 0.748 (0.754)	Data 0.002 (0.002)	Loss 2.7362 (2.9278)	Prec@1 32.812 (31.367)	Prec@5 64.062 (61.201)
Epoch: [3][5010/14090]	Time 0.753 (0.754)	Data 0.001 (0.002)	Loss 2.6256 (2.9277)	Prec@1 39.844 (31.370)	Prec@5 64.062 (61.204)
Epoch: [3][5020/14090]	Time 0.789 (0.754)	Data 0.001 (0.002)	Loss 2.8189 (2.9276)	Prec@1 34.375 (31.373)	Prec@5 60.938 (61.207)
Epoch: [3][5030/14090]	Time 0.750 (0.754)	Data 0.001 (0.002)	Loss 3.1270 (2.9277)	Prec@1 28.125 (31.369)	Prec@5 56.250 (61.202)
Epoch: [3][5040/14090]	Time 0.793 (0.754)	Data 0.001 (0.002)	Loss 2.7443 (2.9276)	Prec@1 29.688 (31.372)	Prec@5 67.188 (61.203)
Epoch: [3][5050/14090]	Time 0.794 (0.754)	Data 0.001 (0.002)	Loss 3.2612 (2.9277)	Prec@1 27.344 (31.370)	Prec@5 57.812 (61.202)
Epoch: [3][5060/14090]	Time 0.772 (0.754)	Data 0.001 (0.002)	Loss 2.9384 (2.9278)	Prec@1 32.031 (31.367)	Prec@5 60.938 (61.198)
Epoch: [3][5070/14090]	Time 0.775 (0.754)	Data 0.002 (0.002)	Loss 2.9648 (2.9277)	Prec@1 25.781 (31.367)	Prec@5 60.938 (61.199)
Epoch: [3][5080/14090]	Time 0.781 (0.754)	Data 0.001 (0.002)	Loss 2.7508 (2.9277)	Prec@1 35.156 (31.366)	Prec@5 68.750 (61.201)
Epoch: [3][5090/14090]	Time 0.733 (0.754)	Data 0.001 (0.002)	Loss 2.8860 (2.9277)	Prec@1 34.375 (31.368)	Prec@5 59.375 (61.202)
Epoch: [3][5100/14090]	Time 0.745 (0.754)	Data 0.001 (0.002)	Loss 3.0527 (2.9278)	Prec@1 24.219 (31.367)	Prec@5 54.688 (61.199)
Epoch: [3][5110/14090]	Time 0.750 (0.754)	Data 0.001 (0.002)	Loss 2.8297 (2.9278)	Prec@1 33.594 (31.363)	Prec@5 64.844 (61.198)
Epoch: [3][5120/14090]	Time 0.744 (0.754)	Data 0.001 (0.002)	Loss 3.1786 (2.9279)	Prec@1 23.438 (31.362)	Prec@5 59.375 (61.197)
Epoch: [3][5130/14090]	Time 0.780 (0.754)	Data 0.001 (0.002)	Loss 2.8107 (2.9280)	Prec@1 32.812 (31.363)	Prec@5 63.281 (61.196)
Epoch: [3][5140/14090]	Time 0.788 (0.754)	Data 0.002 (0.002)	Loss 2.6358 (2.9280)	Prec@1 30.469 (31.363)	Prec@5 69.531 (61.196)
Epoch: [3][5150/14090]	Time 0.784 (0.754)	Data 0.001 (0.002)	Loss 2.5909 (2.9277)	Prec@1 34.375 (31.369)	Prec@5 67.188 (61.202)
Epoch: [3][5160/14090]	Time 0.751 (0.754)	Data 0.001 (0.002)	Loss 2.7510 (2.9276)	Prec@1 45.312 (31.372)	Prec@5 67.188 (61.203)
Epoch: [3][5170/14090]	Time 0.766 (0.754)	Data 0.001 (0.002)	Loss 3.0041 (2.9277)	Prec@1 32.031 (31.373)	Prec@5 57.812 (61.200)
Epoch: [3][5180/14090]	Time 0.745 (0.754)	Data 0.001 (0.002)	Loss 2.7457 (2.9277)	Prec@1 25.781 (31.373)	Prec@5 67.188 (61.199)
Epoch: [3][5190/14090]	Time 0.743 (0.754)	Data 0.001 (0.002)	Loss 3.2517 (2.9279)	Prec@1 25.000 (31.372)	Prec@5 57.031 (61.197)
Epoch: [3][5200/14090]	Time 0.739 (0.754)	Data 0.001 (0.002)	Loss 2.7136 (2.9278)	Prec@1 36.719 (31.374)	Prec@5 63.281 (61.201)
Epoch: [3][5210/14090]	Time 0.779 (0.754)	Data 0.002 (0.002)	Loss 2.9805 (2.9279)	Prec@1 33.594 (31.375)	Prec@5 64.062 (61.199)
Epoch: [3][5220/14090]	Time 0.777 (0.754)	Data 0.001 (0.002)	Loss 2.5887 (2.9279)	Prec@1 34.375 (31.375)	Prec@5 65.625 (61.202)
Epoch: [3][5230/14090]	Time 0.778 (0.754)	Data 0.001 (0.002)	Loss 2.8792 (2.9280)	Prec@1 34.375 (31.375)	Prec@5 56.250 (61.200)
Epoch: [3][5240/14090]	Time 0.744 (0.754)	Data 0.001 (0.002)	Loss 3.0241 (2.9279)	Prec@1 30.469 (31.375)	Prec@5 53.906 (61.199)
Epoch: [3][5250/14090]	Time 0.754 (0.754)	Data 0.001 (0.002)	Loss 3.1325 (2.9280)	Prec@1 28.125 (31.374)	Prec@5 50.000 (61.195)
Epoch: [3][5260/14090]	Time 0.748 (0.754)	Data 0.001 (0.002)	Loss 3.2045 (2.9281)	Prec@1 25.781 (31.371)	Prec@5 57.812 (61.195)
Epoch: [3][5270/14090]	Time 0.750 (0.754)	Data 0.001 (0.002)	Loss 2.6499 (2.9280)	Prec@1 38.281 (31.375)	Prec@5 65.625 (61.197)
Epoch: [3][5280/14090]	Time 0.733 (0.754)	Data 0.002 (0.002)	Loss 3.0825 (2.9282)	Prec@1 25.000 (31.371)	Prec@5 54.688 (61.193)
Epoch: [3][5290/14090]	Time 0.757 (0.754)	Data 0.001 (0.002)	Loss 2.7658 (2.9281)	Prec@1 35.938 (31.373)	Prec@5 66.406 (61.194)
Epoch: [3][5300/14090]	Time 0.722 (0.754)	Data 0.001 (0.002)	Loss 3.1517 (2.9280)	Prec@1 32.812 (31.378)	Prec@5 58.594 (61.196)
Epoch: [3][5310/14090]	Time 0.760 (0.754)	Data 0.001 (0.002)	Loss 2.8636 (2.9280)	Prec@1 29.688 (31.378)	Prec@5 61.719 (61.194)
Epoch: [3][5320/14090]	Time 0.761 (0.754)	Data 0.001 (0.002)	Loss 2.8981 (2.9279)	Prec@1 25.000 (31.376)	Prec@5 63.281 (61.194)
Epoch: [3][5330/14090]	Time 0.763 (0.754)	Data 0.001 (0.002)	Loss 2.9654 (2.9279)	Prec@1 32.812 (31.375)	Prec@5 64.062 (61.194)
Epoch: [3][5340/14090]	Time 0.735 (0.754)	Data 0.001 (0.002)	Loss 3.0510 (2.9278)	Prec@1 27.344 (31.376)	Prec@5 60.156 (61.194)
Epoch: [3][5350/14090]	Time 0.770 (0.754)	Data 0.002 (0.002)	Loss 2.7994 (2.9276)	Prec@1 35.156 (31.381)	Prec@5 64.844 (61.196)
Epoch: [3][5360/14090]	Time 0.745 (0.754)	Data 0.001 (0.002)	Loss 3.0301 (2.9276)	Prec@1 29.688 (31.379)	Prec@5 58.594 (61.194)
Epoch: [3][5370/14090]	Time 0.775 (0.754)	Data 0.001 (0.002)	Loss 2.9359 (2.9275)	Prec@1 29.688 (31.379)	Prec@5 62.500 (61.194)
Epoch: [3][5380/14090]	Time 0.791 (0.754)	Data 0.001 (0.002)	Loss 2.8615 (2.9275)	Prec@1 32.812 (31.376)	Prec@5 60.938 (61.193)
Epoch: [3][5390/14090]	Time 0.733 (0.754)	Data 0.001 (0.002)	Loss 3.0441 (2.9275)	Prec@1 28.906 (31.377)	Prec@5 57.812 (61.193)
Epoch: [3][5400/14090]	Time 0.731 (0.754)	Data 0.001 (0.002)	Loss 3.1019 (2.9276)	Prec@1 29.688 (31.372)	Prec@5 56.250 (61.193)
Epoch: [3][5410/14090]	Time 0.755 (0.754)	Data 0.001 (0.002)	Loss 3.0592 (2.9277)	Prec@1 28.125 (31.370)	Prec@5 53.906 (61.190)
Epoch: [3][5420/14090]	Time 0.788 (0.754)	Data 0.002 (0.002)	Loss 3.0199 (2.9275)	Prec@1 28.125 (31.375)	Prec@5 61.719 (61.194)
Epoch: [3][5430/14090]	Time 0.765 (0.754)	Data 0.001 (0.002)	Loss 3.1759 (2.9274)	Prec@1 26.562 (31.374)	Prec@5 55.469 (61.198)
Epoch: [3][5440/14090]	Time 0.741 (0.754)	Data 0.001 (0.002)	Loss 3.1527 (2.9274)	Prec@1 28.125 (31.374)	Prec@5 51.562 (61.197)
Epoch: [3][5450/14090]	Time 0.755 (0.754)	Data 0.001 (0.002)	Loss 2.9302 (2.9273)	Prec@1 28.906 (31.375)	Prec@5 60.156 (61.199)
Epoch: [3][5460/14090]	Time 0.769 (0.754)	Data 0.001 (0.002)	Loss 2.9941 (2.9271)	Prec@1 32.812 (31.379)	Prec@5 60.156 (61.200)
Epoch: [3][5470/14090]	Time 0.748 (0.754)	Data 0.001 (0.002)	Loss 2.7781 (2.9270)	Prec@1 29.688 (31.378)	Prec@5 63.281 (61.200)
Epoch: [3][5480/14090]	Time 0.740 (0.754)	Data 0.001 (0.002)	Loss 2.9064 (2.9271)	Prec@1 34.375 (31.379)	Prec@5 60.156 (61.197)
Epoch: [3][5490/14090]	Time 0.779 (0.754)	Data 0.002 (0.002)	Loss 3.0958 (2.9272)	Prec@1 27.344 (31.378)	Prec@5 57.812 (61.194)
Epoch: [3][5500/14090]	Time 0.740 (0.754)	Data 0.001 (0.002)	Loss 2.8375 (2.9271)	Prec@1 29.688 (31.379)	Prec@5 64.062 (61.195)
Epoch: [3][5510/14090]	Time 0.754 (0.754)	Data 0.001 (0.002)	Loss 3.1822 (2.9272)	Prec@1 25.781 (31.379)	Prec@5 58.594 (61.192)
Epoch: [3][5520/14090]	Time 0.817 (0.754)	Data 0.001 (0.002)	Loss 2.9203 (2.9271)	Prec@1 30.469 (31.383)	Prec@5 60.156 (61.196)
Epoch: [3][5530/14090]	Time 0.755 (0.754)	Data 0.001 (0.002)	Loss 2.9670 (2.9271)	Prec@1 30.469 (31.381)	Prec@5 62.500 (61.196)
Epoch: [3][5540/14090]	Time 0.731 (0.754)	Data 0.001 (0.002)	Loss 2.9972 (2.9271)	Prec@1 28.906 (31.382)	Prec@5 63.281 (61.195)
Epoch: [3][5550/14090]	Time 0.745 (0.754)	Data 0.001 (0.002)	Loss 2.6376 (2.9271)	Prec@1 34.375 (31.383)	Prec@5 63.281 (61.192)
Epoch: [3][5560/14090]	Time 0.778 (0.754)	Data 0.002 (0.002)	Loss 2.8069 (2.9271)	Prec@1 33.594 (31.380)	Prec@5 64.062 (61.195)
Epoch: [3][5570/14090]	Time 0.784 (0.754)	Data 0.001 (0.002)	Loss 3.1103 (2.9270)	Prec@1 25.781 (31.380)	Prec@5 56.250 (61.196)
Epoch: [3][5580/14090]	Time 0.764 (0.754)	Data 0.001 (0.002)	Loss 2.7284 (2.9270)	Prec@1 32.031 (31.383)	Prec@5 68.750 (61.198)
Epoch: [3][5590/14090]	Time 0.745 (0.754)	Data 0.001 (0.002)	Loss 3.0904 (2.9270)	Prec@1 30.469 (31.382)	Prec@5 55.469 (61.197)
Epoch: [3][5600/14090]	Time 0.747 (0.754)	Data 0.001 (0.002)	Loss 2.7905 (2.9270)	Prec@1 30.469 (31.379)	Prec@5 63.281 (61.195)
Epoch: [3][5610/14090]	Time 0.750 (0.754)	Data 0.001 (0.002)	Loss 2.8455 (2.9271)	Prec@1 32.031 (31.379)	Prec@5 60.156 (61.195)
Epoch: [3][5620/14090]	Time 0.764 (0.754)	Data 0.001 (0.002)	Loss 2.9050 (2.9270)	Prec@1 33.594 (31.379)	Prec@5 60.938 (61.195)
Epoch: [3][5630/14090]	Time 0.764 (0.754)	Data 0.002 (0.002)	Loss 3.0403 (2.9270)	Prec@1 21.875 (31.377)	Prec@5 58.594 (61.195)
Epoch: [3][5640/14090]	Time 0.757 (0.754)	Data 0.001 (0.002)	Loss 2.9201 (2.9268)	Prec@1 28.906 (31.381)	Prec@5 61.719 (61.198)
Epoch: [3][5650/14090]	Time 0.771 (0.754)	Data 0.001 (0.002)	Loss 2.8901 (2.9268)	Prec@1 29.688 (31.384)	Prec@5 60.938 (61.198)
Epoch: [3][5660/14090]	Time 0.735 (0.754)	Data 0.001 (0.002)	Loss 2.6168 (2.9266)	Prec@1 40.625 (31.385)	Prec@5 67.969 (61.202)
Epoch: [3][5670/14090]	Time 0.731 (0.754)	Data 0.001 (0.002)	Loss 2.8322 (2.9265)	Prec@1 33.594 (31.385)	Prec@5 64.062 (61.206)
Epoch: [3][5680/14090]	Time 0.780 (0.754)	Data 0.001 (0.002)	Loss 2.9374 (2.9264)	Prec@1 29.688 (31.388)	Prec@5 57.031 (61.207)
Epoch: [3][5690/14090]	Time 0.787 (0.754)	Data 0.001 (0.002)	Loss 3.2193 (2.9263)	Prec@1 25.000 (31.389)	Prec@5 53.125 (61.209)
Epoch: [3][5700/14090]	Time 0.763 (0.754)	Data 0.002 (0.002)	Loss 3.2121 (2.9264)	Prec@1 23.438 (31.389)	Prec@5 51.562 (61.204)
Epoch: [3][5710/14090]	Time 0.783 (0.754)	Data 0.001 (0.002)	Loss 2.9615 (2.9264)	Prec@1 34.375 (31.391)	Prec@5 59.375 (61.202)
Epoch: [3][5720/14090]	Time 0.750 (0.754)	Data 0.001 (0.002)	Loss 2.8678 (2.9264)	Prec@1 33.594 (31.394)	Prec@5 66.406 (61.206)
Epoch: [3][5730/14090]	Time 0.743 (0.754)	Data 0.001 (0.002)	Loss 3.0165 (2.9264)	Prec@1 26.562 (31.392)	Prec@5 58.594 (61.204)
Epoch: [3][5740/14090]	Time 0.735 (0.754)	Data 0.001 (0.002)	Loss 2.7110 (2.9265)	Prec@1 33.594 (31.388)	Prec@5 61.719 (61.204)
Epoch: [3][5750/14090]	Time 0.754 (0.754)	Data 0.001 (0.002)	Loss 2.8585 (2.9264)	Prec@1 34.375 (31.389)	Prec@5 61.719 (61.208)
Epoch: [3][5760/14090]	Time 0.738 (0.754)	Data 0.001 (0.002)	Loss 2.7104 (2.9264)	Prec@1 29.688 (31.387)	Prec@5 68.750 (61.210)
Epoch: [3][5770/14090]	Time 0.746 (0.754)	Data 0.002 (0.002)	Loss 2.7981 (2.9262)	Prec@1 29.688 (31.390)	Prec@5 64.062 (61.213)
Epoch: [3][5780/14090]	Time 0.771 (0.754)	Data 0.001 (0.002)	Loss 2.9473 (2.9263)	Prec@1 31.250 (31.389)	Prec@5 60.938 (61.213)
Epoch: [3][5790/14090]	Time 0.732 (0.754)	Data 0.001 (0.002)	Loss 3.1218 (2.9263)	Prec@1 31.250 (31.390)	Prec@5 56.250 (61.214)
Epoch: [3][5800/14090]	Time 0.753 (0.754)	Data 0.001 (0.002)	Loss 2.9493 (2.9265)	Prec@1 31.250 (31.387)	Prec@5 58.594 (61.211)
Epoch: [3][5810/14090]	Time 0.760 (0.754)	Data 0.001 (0.002)	Loss 2.8744 (2.9264)	Prec@1 33.594 (31.387)	Prec@5 60.156 (61.210)
Epoch: [3][5820/14090]	Time 0.782 (0.754)	Data 0.001 (0.002)	Loss 3.2133 (2.9264)	Prec@1 28.125 (31.388)	Prec@5 57.812 (61.212)
Epoch: [3][5830/14090]	Time 0.761 (0.754)	Data 0.001 (0.001)	Loss 2.8850 (2.9264)	Prec@1 34.375 (31.389)	Prec@5 60.938 (61.213)
Epoch: [3][5840/14090]	Time 0.787 (0.754)	Data 0.003 (0.001)	Loss 2.8748 (2.9264)	Prec@1 37.500 (31.390)	Prec@5 60.156 (61.214)
Epoch: [3][5850/14090]	Time 0.763 (0.754)	Data 0.001 (0.001)	Loss 2.8675 (2.9266)	Prec@1 35.156 (31.391)	Prec@5 63.281 (61.211)
Epoch: [3][5860/14090]	Time 0.740 (0.754)	Data 0.001 (0.001)	Loss 2.9274 (2.9267)	Prec@1 31.250 (31.390)	Prec@5 57.031 (61.209)
Epoch: [3][5870/14090]	Time 0.746 (0.754)	Data 0.001 (0.001)	Loss 3.1494 (2.9268)	Prec@1 26.562 (31.388)	Prec@5 56.250 (61.207)
Epoch: [3][5880/14090]	Time 0.759 (0.754)	Data 0.001 (0.001)	Loss 2.9798 (2.9268)	Prec@1 35.156 (31.389)	Prec@5 64.062 (61.210)
Epoch: [3][5890/14090]	Time 0.752 (0.754)	Data 0.001 (0.001)	Loss 3.0827 (2.9268)	Prec@1 25.781 (31.389)	Prec@5 58.594 (61.208)
Epoch: [3][5900/14090]	Time 0.776 (0.754)	Data 0.001 (0.001)	Loss 2.7972 (2.9268)	Prec@1 32.812 (31.390)	Prec@5 68.750 (61.208)
Epoch: [3][5910/14090]	Time 0.752 (0.754)	Data 0.002 (0.001)	Loss 2.8957 (2.9269)	Prec@1 35.938 (31.391)	Prec@5 60.938 (61.207)
Epoch: [3][5920/14090]	Time 0.745 (0.754)	Data 0.001 (0.001)	Loss 2.8368 (2.9267)	Prec@1 27.344 (31.396)	Prec@5 63.281 (61.209)
Epoch: [3][5930/14090]	Time 0.775 (0.754)	Data 0.001 (0.001)	Loss 2.7943 (2.9267)	Prec@1 27.344 (31.395)	Prec@5 66.406 (61.209)
Epoch: [3][5940/14090]	Time 0.756 (0.754)	Data 0.001 (0.001)	Loss 3.0600 (2.9267)	Prec@1 31.250 (31.395)	Prec@5 60.156 (61.208)
Epoch: [3][5950/14090]	Time 0.750 (0.754)	Data 0.001 (0.001)	Loss 2.8124 (2.9268)	Prec@1 29.688 (31.395)	Prec@5 67.188 (61.209)
Epoch: [3][5960/14090]	Time 0.734 (0.754)	Data 0.001 (0.001)	Loss 2.8851 (2.9267)	Prec@1 36.719 (31.399)	Prec@5 60.156 (61.209)
Epoch: [3][5970/14090]	Time 0.788 (0.754)	Data 0.001 (0.001)	Loss 3.0198 (2.9267)	Prec@1 31.250 (31.397)	Prec@5 60.938 (61.208)
Epoch: [3][5980/14090]	Time 0.734 (0.754)	Data 0.002 (0.001)	Loss 2.9556 (2.9267)	Prec@1 28.906 (31.399)	Prec@5 62.500 (61.211)
Epoch: [3][5990/14090]	Time 0.744 (0.754)	Data 0.001 (0.001)	Loss 2.8449 (2.9266)	Prec@1 34.375 (31.401)	Prec@5 63.281 (61.213)
Epoch: [3][6000/14090]	Time 0.727 (0.754)	Data 0.001 (0.001)	Loss 2.7641 (2.9267)	Prec@1 34.375 (31.401)	Prec@5 65.625 (61.213)
Epoch: [3][6010/14090]	Time 0.751 (0.754)	Data 0.001 (0.001)	Loss 2.6816 (2.9266)	Prec@1 31.250 (31.399)	Prec@5 60.938 (61.211)
Epoch: [3][6020/14090]	Time 0.765 (0.754)	Data 0.001 (0.001)	Loss 3.0467 (2.9267)	Prec@1 29.688 (31.398)	Prec@5 56.250 (61.209)
Epoch: [3][6030/14090]	Time 0.732 (0.754)	Data 0.001 (0.001)	Loss 3.2044 (2.9267)	Prec@1 27.344 (31.398)	Prec@5 60.156 (61.212)
Epoch: [3][6040/14090]	Time 0.777 (0.754)	Data 0.001 (0.001)	Loss 3.1053 (2.9268)	Prec@1 28.906 (31.395)	Prec@5 56.250 (61.210)
Epoch: [3][6050/14090]	Time 0.755 (0.754)	Data 0.002 (0.001)	Loss 3.2554 (2.9268)	Prec@1 28.125 (31.394)	Prec@5 53.906 (61.211)
Epoch: [3][6060/14090]	Time 0.749 (0.754)	Data 0.001 (0.001)	Loss 3.0466 (2.9268)	Prec@1 28.125 (31.394)	Prec@5 60.156 (61.212)
Epoch: [3][6070/14090]	Time 0.741 (0.754)	Data 0.001 (0.001)	Loss 2.9943 (2.9267)	Prec@1 28.906 (31.394)	Prec@5 58.594 (61.212)
Epoch: [3][6080/14090]	Time 0.754 (0.754)	Data 0.001 (0.001)	Loss 2.9902 (2.9268)	Prec@1 26.562 (31.393)	Prec@5 58.594 (61.212)
Epoch: [3][6090/14090]	Time 0.749 (0.754)	Data 0.001 (0.001)	Loss 2.9132 (2.9269)	Prec@1 31.250 (31.391)	Prec@5 58.594 (61.210)
Epoch: [3][6100/14090]	Time 0.729 (0.754)	Data 0.001 (0.001)	Loss 2.8247 (2.9270)	Prec@1 35.156 (31.391)	Prec@5 64.062 (61.210)
Epoch: [3][6110/14090]	Time 0.741 (0.754)	Data 0.001 (0.001)	Loss 2.7583 (2.9269)	Prec@1 39.062 (31.390)	Prec@5 60.938 (61.210)
Epoch: [3][6120/14090]	Time 0.733 (0.754)	Data 0.003 (0.001)	Loss 2.6843 (2.9269)	Prec@1 34.375 (31.389)	Prec@5 64.844 (61.211)
Epoch: [3][6130/14090]	Time 0.751 (0.754)	Data 0.001 (0.001)	Loss 3.1058 (2.9269)	Prec@1 30.469 (31.388)	Prec@5 59.375 (61.210)
Epoch: [3][6140/14090]	Time 0.766 (0.754)	Data 0.001 (0.001)	Loss 3.2310 (2.9269)	Prec@1 29.688 (31.388)	Prec@5 55.469 (61.212)
Epoch: [3][6150/14090]	Time 0.738 (0.754)	Data 0.001 (0.001)	Loss 2.9900 (2.9270)	Prec@1 28.906 (31.385)	Prec@5 60.156 (61.212)
Epoch: [3][6160/14090]	Time 0.750 (0.754)	Data 0.001 (0.001)	Loss 3.0509 (2.9271)	Prec@1 23.438 (31.381)	Prec@5 57.031 (61.210)
Epoch: [3][6170/14090]	Time 0.765 (0.754)	Data 0.001 (0.001)	Loss 3.0397 (2.9272)	Prec@1 33.594 (31.383)	Prec@5 61.719 (61.209)
Epoch: [3][6180/14090]	Time 0.759 (0.754)	Data 0.001 (0.001)	Loss 2.7108 (2.9272)	Prec@1 32.812 (31.382)	Prec@5 62.500 (61.210)
Epoch: [3][6190/14090]	Time 0.776 (0.754)	Data 0.002 (0.001)	Loss 2.9025 (2.9272)	Prec@1 35.156 (31.382)	Prec@5 59.375 (61.211)
Epoch: [3][6200/14090]	Time 0.753 (0.754)	Data 0.001 (0.001)	Loss 3.2652 (2.9272)	Prec@1 28.125 (31.381)	Prec@5 52.344 (61.208)
Epoch: [3][6210/14090]	Time 0.767 (0.754)	Data 0.001 (0.001)	Loss 3.0745 (2.9273)	Prec@1 28.906 (31.382)	Prec@5 58.594 (61.208)
Epoch: [3][6220/14090]	Time 0.742 (0.754)	Data 0.001 (0.001)	Loss 2.6047 (2.9272)	Prec@1 38.281 (31.383)	Prec@5 71.094 (61.212)
Epoch: [3][6230/14090]	Time 0.740 (0.754)	Data 0.001 (0.001)	Loss 2.7525 (2.9272)	Prec@1 30.469 (31.382)	Prec@5 65.625 (61.212)
Epoch: [3][6240/14090]	Time 0.755 (0.754)	Data 0.001 (0.001)	Loss 2.9539 (2.9272)	Prec@1 29.688 (31.379)	Prec@5 60.156 (61.213)
Epoch: [3][6250/14090]	Time 0.747 (0.754)	Data 0.001 (0.001)	Loss 2.9747 (2.9272)	Prec@1 31.250 (31.381)	Prec@5 60.938 (61.213)
Epoch: [3][6260/14090]	Time 0.736 (0.754)	Data 0.002 (0.001)	Loss 2.7616 (2.9270)	Prec@1 39.062 (31.384)	Prec@5 67.969 (61.217)
Epoch: [3][6270/14090]	Time 0.767 (0.754)	Data 0.001 (0.001)	Loss 3.1031 (2.9270)	Prec@1 31.250 (31.383)	Prec@5 58.594 (61.217)
Epoch: [3][6280/14090]	Time 0.782 (0.754)	Data 0.001 (0.001)	Loss 2.8787 (2.9271)	Prec@1 30.469 (31.381)	Prec@5 57.812 (61.215)
Epoch: [3][6290/14090]	Time 0.761 (0.754)	Data 0.001 (0.001)	Loss 2.9415 (2.9270)	Prec@1 34.375 (31.383)	Prec@5 64.062 (61.220)
Epoch: [3][6300/14090]	Time 0.755 (0.754)	Data 0.001 (0.001)	Loss 2.9819 (2.9271)	Prec@1 30.469 (31.382)	Prec@5 55.469 (61.216)
Epoch: [3][6310/14090]	Time 0.735 (0.754)	Data 0.001 (0.001)	Loss 2.9497 (2.9272)	Prec@1 29.688 (31.381)	Prec@5 56.250 (61.215)
Epoch: [3][6320/14090]	Time 0.750 (0.754)	Data 0.001 (0.001)	Loss 2.8026 (2.9272)	Prec@1 35.938 (31.381)	Prec@5 64.062 (61.215)
Epoch: [3][6330/14090]	Time 0.773 (0.754)	Data 0.002 (0.001)	Loss 2.8781 (2.9271)	Prec@1 28.906 (31.381)	Prec@5 63.281 (61.215)
Epoch: [3][6340/14090]	Time 0.774 (0.754)	Data 0.001 (0.001)	Loss 3.1245 (2.9273)	Prec@1 26.562 (31.377)	Prec@5 59.375 (61.213)
Epoch: [3][6350/14090]	Time 0.750 (0.754)	Data 0.001 (0.001)	Loss 2.6604 (2.9273)	Prec@1 37.500 (31.377)	Prec@5 67.188 (61.211)
Epoch: [3][6360/14090]	Time 0.760 (0.754)	Data 0.001 (0.001)	Loss 3.1519 (2.9271)	Prec@1 27.344 (31.379)	Prec@5 54.688 (61.210)
Epoch: [3][6370/14090]	Time 0.753 (0.754)	Data 0.001 (0.001)	Loss 3.0323 (2.9272)	Prec@1 31.250 (31.380)	Prec@5 59.375 (61.209)
Epoch: [3][6380/14090]	Time 0.739 (0.754)	Data 0.001 (0.001)	Loss 3.0592 (2.9273)	Prec@1 25.000 (31.378)	Prec@5 64.844 (61.209)
Epoch: [3][6390/14090]	Time 0.758 (0.754)	Data 0.001 (0.001)	Loss 3.1376 (2.9273)	Prec@1 24.219 (31.376)	Prec@5 57.812 (61.207)
Epoch: [3][6400/14090]	Time 0.767 (0.754)	Data 0.002 (0.001)	Loss 2.9890 (2.9273)	Prec@1 28.906 (31.379)	Prec@5 65.625 (61.208)
Epoch: [3][6410/14090]	Time 0.769 (0.754)	Data 0.001 (0.001)	Loss 2.6818 (2.9273)	Prec@1 35.938 (31.380)	Prec@5 69.531 (61.208)
Epoch: [3][6420/14090]	Time 0.761 (0.754)	Data 0.001 (0.001)	Loss 2.7290 (2.9271)	Prec@1 39.062 (31.386)	Prec@5 66.406 (61.213)
Epoch: [3][6430/14090]	Time 0.745 (0.754)	Data 0.001 (0.001)	Loss 3.2786 (2.9270)	Prec@1 21.094 (31.389)	Prec@5 55.469 (61.214)
Epoch: [3][6440/14090]	Time 0.753 (0.754)	Data 0.001 (0.001)	Loss 2.9162 (2.9270)	Prec@1 26.562 (31.389)	Prec@5 64.062 (61.217)
Epoch: [3][6450/14090]	Time 0.765 (0.754)	Data 0.001 (0.001)	Loss 2.7680 (2.9269)	Prec@1 39.062 (31.393)	Prec@5 65.625 (61.218)
Epoch: [3][6460/14090]	Time 0.726 (0.754)	Data 0.001 (0.001)	Loss 3.0774 (2.9270)	Prec@1 26.562 (31.391)	Prec@5 59.375 (61.216)
Epoch: [3][6470/14090]	Time 0.742 (0.754)	Data 0.002 (0.001)	Loss 3.2427 (2.9270)	Prec@1 27.344 (31.396)	Prec@5 57.812 (61.218)
Epoch: [3][6480/14090]	Time 0.738 (0.754)	Data 0.001 (0.001)	Loss 2.7674 (2.9270)	Prec@1 32.812 (31.396)	Prec@5 64.844 (61.218)
Epoch: [3][6490/14090]	Time 0.763 (0.754)	Data 0.001 (0.001)	Loss 3.0293 (2.9270)	Prec@1 28.906 (31.395)	Prec@5 59.375 (61.216)
Epoch: [3][6500/14090]	Time 0.744 (0.754)	Data 0.001 (0.001)	Loss 2.7281 (2.9269)	Prec@1 32.812 (31.396)	Prec@5 64.062 (61.217)
Epoch: [3][6510/14090]	Time 0.779 (0.754)	Data 0.001 (0.001)	Loss 3.0910 (2.9268)	Prec@1 27.344 (31.396)	Prec@5 54.688 (61.218)
Epoch: [3][6520/14090]	Time 0.730 (0.754)	Data 0.001 (0.001)	Loss 2.6545 (2.9268)	Prec@1 37.500 (31.396)	Prec@5 67.188 (61.220)
Epoch: [3][6530/14090]	Time 0.761 (0.754)	Data 0.001 (0.001)	Loss 2.9404 (2.9267)	Prec@1 30.469 (31.397)	Prec@5 57.812 (61.220)
Epoch: [3][6540/14090]	Time 0.754 (0.754)	Data 0.002 (0.001)	Loss 3.0624 (2.9267)	Prec@1 27.344 (31.396)	Prec@5 62.500 (61.222)
Epoch: [3][6550/14090]	Time 0.750 (0.754)	Data 0.001 (0.001)	Loss 2.9146 (2.9267)	Prec@1 34.375 (31.397)	Prec@5 61.719 (61.224)
Epoch: [3][6560/14090]	Time 0.740 (0.754)	Data 0.001 (0.001)	Loss 2.7579 (2.9266)	Prec@1 32.031 (31.394)	Prec@5 67.969 (61.224)
Epoch: [3][6570/14090]	Time 0.738 (0.754)	Data 0.001 (0.001)	Loss 2.7468 (2.9267)	Prec@1 33.594 (31.394)	Prec@5 60.156 (61.221)
Epoch: [3][6580/14090]	Time 0.742 (0.754)	Data 0.001 (0.001)	Loss 2.8714 (2.9267)	Prec@1 28.125 (31.393)	Prec@5 60.156 (61.220)
Epoch: [3][6590/14090]	Time 0.742 (0.754)	Data 0.001 (0.001)	Loss 2.6355 (2.9266)	Prec@1 31.250 (31.394)	Prec@5 67.188 (61.221)
Epoch: [3][6600/14090]	Time 0.760 (0.754)	Data 0.001 (0.001)	Loss 2.9076 (2.9265)	Prec@1 31.250 (31.396)	Prec@5 61.719 (61.221)
Epoch: [3][6610/14090]	Time 0.755 (0.754)	Data 0.002 (0.001)	Loss 2.7411 (2.9264)	Prec@1 35.156 (31.400)	Prec@5 67.969 (61.228)
Epoch: [3][6620/14090]	Time 0.786 (0.754)	Data 0.001 (0.001)	Loss 3.1015 (2.9263)	Prec@1 29.688 (31.398)	Prec@5 54.688 (61.229)
Epoch: [3][6630/14090]	Time 0.760 (0.754)	Data 0.001 (0.001)	Loss 2.9303 (2.9262)	Prec@1 35.938 (31.399)	Prec@5 61.719 (61.233)
Epoch: [3][6640/14090]	Time 0.741 (0.754)	Data 0.001 (0.001)	Loss 2.9313 (2.9263)	Prec@1 29.688 (31.400)	Prec@5 60.938 (61.233)
Epoch: [3][6650/14090]	Time 0.757 (0.754)	Data 0.001 (0.001)	Loss 3.0240 (2.9263)	Prec@1 29.688 (31.400)	Prec@5 57.031 (61.231)
Epoch: [3][6660/14090]	Time 0.731 (0.754)	Data 0.001 (0.001)	Loss 2.7362 (2.9261)	Prec@1 28.906 (31.402)	Prec@5 60.938 (61.233)
Epoch: [3][6670/14090]	Time 0.760 (0.754)	Data 0.001 (0.001)	Loss 3.3001 (2.9262)	Prec@1 26.562 (31.403)	Prec@5 53.906 (61.230)
Epoch: [3][6680/14090]	Time 0.729 (0.754)	Data 0.002 (0.001)	Loss 3.0400 (2.9262)	Prec@1 28.906 (31.401)	Prec@5 59.375 (61.228)
Epoch: [3][6690/14090]	Time 0.755 (0.754)	Data 0.001 (0.001)	Loss 3.0407 (2.9262)	Prec@1 27.344 (31.403)	Prec@5 57.812 (61.229)
Epoch: [3][6700/14090]	Time 0.725 (0.754)	Data 0.001 (0.001)	Loss 2.9567 (2.9261)	Prec@1 32.031 (31.405)	Prec@5 63.281 (61.233)
Epoch: [3][6710/14090]	Time 0.779 (0.754)	Data 0.001 (0.001)	Loss 2.8200 (2.9261)	Prec@1 27.344 (31.405)	Prec@5 61.719 (61.233)
Epoch: [3][6720/14090]	Time 0.741 (0.754)	Data 0.001 (0.001)	Loss 2.8233 (2.9261)	Prec@1 36.719 (31.407)	Prec@5 63.281 (61.233)
Epoch: [3][6730/14090]	Time 0.750 (0.754)	Data 0.001 (0.001)	Loss 3.0801 (2.9261)	Prec@1 28.906 (31.407)	Prec@5 63.281 (61.235)
Epoch: [3][6740/14090]	Time 0.744 (0.754)	Data 0.001 (0.001)	Loss 2.8774 (2.9261)	Prec@1 27.344 (31.406)	Prec@5 62.500 (61.236)
Epoch: [3][6750/14090]	Time 0.743 (0.754)	Data 0.002 (0.001)	Loss 2.9916 (2.9260)	Prec@1 30.469 (31.408)	Prec@5 58.594 (61.236)
Epoch: [3][6760/14090]	Time 0.751 (0.754)	Data 0.001 (0.001)	Loss 3.1736 (2.9260)	Prec@1 24.219 (31.406)	Prec@5 57.812 (61.237)
Epoch: [3][6770/14090]	Time 0.759 (0.754)	Data 0.001 (0.001)	Loss 3.0138 (2.9261)	Prec@1 25.781 (31.405)	Prec@5 56.250 (61.233)
Epoch: [3][6780/14090]	Time 0.737 (0.754)	Data 0.001 (0.001)	Loss 3.2648 (2.9261)	Prec@1 29.688 (31.405)	Prec@5 50.781 (61.234)
Epoch: [3][6790/14090]	Time 0.765 (0.754)	Data 0.001 (0.001)	Loss 2.6684 (2.9261)	Prec@1 35.156 (31.403)	Prec@5 66.406 (61.236)
Epoch: [3][6800/14090]	Time 0.749 (0.754)	Data 0.001 (0.001)	Loss 3.0109 (2.9261)	Prec@1 26.562 (31.403)	Prec@5 59.375 (61.237)
Epoch: [3][6810/14090]	Time 0.757 (0.754)	Data 0.001 (0.001)	Loss 2.7852 (2.9260)	Prec@1 35.156 (31.405)	Prec@5 67.188 (61.240)
Epoch: [3][6820/14090]	Time 0.777 (0.754)	Data 0.002 (0.001)	Loss 2.8694 (2.9259)	Prec@1 36.719 (31.408)	Prec@5 62.500 (61.242)
Epoch: [3][6830/14090]	Time 0.781 (0.754)	Data 0.001 (0.001)	Loss 2.9225 (2.9258)	Prec@1 28.906 (31.411)	Prec@5 59.375 (61.243)
Epoch: [3][6840/14090]	Time 0.750 (0.754)	Data 0.001 (0.001)	Loss 3.1219 (2.9258)	Prec@1 25.000 (31.412)	Prec@5 61.719 (61.246)
Epoch: [3][6850/14090]	Time 0.739 (0.754)	Data 0.001 (0.001)	Loss 2.8280 (2.9258)	Prec@1 32.031 (31.412)	Prec@5 62.500 (61.245)
Epoch: [3][6860/14090]	Time 0.759 (0.754)	Data 0.001 (0.001)	Loss 2.7302 (2.9257)	Prec@1 35.156 (31.415)	Prec@5 63.281 (61.247)
Epoch: [3][6870/14090]	Time 0.752 (0.754)	Data 0.001 (0.001)	Loss 3.0591 (2.9258)	Prec@1 29.688 (31.414)	Prec@5 58.594 (61.246)
Epoch: [3][6880/14090]	Time 0.761 (0.754)	Data 0.001 (0.001)	Loss 2.9326 (2.9257)	Prec@1 32.812 (31.414)	Prec@5 63.281 (61.246)
Epoch: [3][6890/14090]	Time 0.743 (0.754)	Data 0.002 (0.001)	Loss 2.6423 (2.9255)	Prec@1 40.625 (31.418)	Prec@5 68.750 (61.247)
Epoch: [3][6900/14090]	Time 0.751 (0.754)	Data 0.001 (0.001)	Loss 2.9482 (2.9254)	Prec@1 28.906 (31.418)	Prec@5 58.594 (61.248)
Epoch: [3][6910/14090]	Time 0.735 (0.754)	Data 0.001 (0.001)	Loss 2.6980 (2.9255)	Prec@1 37.500 (31.420)	Prec@5 61.719 (61.247)
Epoch: [3][6920/14090]	Time 0.776 (0.754)	Data 0.001 (0.001)	Loss 2.8043 (2.9253)	Prec@1 42.188 (31.424)	Prec@5 66.406 (61.250)
Epoch: [3][6930/14090]	Time 0.768 (0.754)	Data 0.001 (0.001)	Loss 3.1103 (2.9254)	Prec@1 28.906 (31.422)	Prec@5 55.469 (61.250)
Epoch: [3][6940/14090]	Time 0.764 (0.754)	Data 0.001 (0.001)	Loss 3.2085 (2.9254)	Prec@1 28.906 (31.422)	Prec@5 58.594 (61.248)
Epoch: [3][6950/14090]	Time 0.751 (0.754)	Data 0.001 (0.001)	Loss 2.9599 (2.9255)	Prec@1 35.156 (31.422)	Prec@5 57.812 (61.247)
Epoch: [3][6960/14090]	Time 0.768 (0.754)	Data 0.002 (0.001)	Loss 3.3733 (2.9256)	Prec@1 23.438 (31.422)	Prec@5 47.656 (61.245)
Epoch: [3][6970/14090]	Time 0.763 (0.754)	Data 0.001 (0.001)	Loss 2.8640 (2.9257)	Prec@1 34.375 (31.419)	Prec@5 58.594 (61.242)
Epoch: [3][6980/14090]	Time 0.734 (0.754)	Data 0.001 (0.001)	Loss 2.9590 (2.9257)	Prec@1 29.688 (31.419)	Prec@5 59.375 (61.242)
Epoch: [3][6990/14090]	Time 0.731 (0.754)	Data 0.001 (0.001)	Loss 2.6135 (2.9257)	Prec@1 37.500 (31.421)	Prec@5 67.969 (61.242)
Epoch: [3][7000/14090]	Time 0.756 (0.754)	Data 0.001 (0.001)	Loss 2.9720 (2.9257)	Prec@1 31.250 (31.423)	Prec@5 56.250 (61.238)
Epoch: [3][7010/14090]	Time 0.737 (0.754)	Data 0.001 (0.001)	Loss 2.7848 (2.9257)	Prec@1 31.250 (31.425)	Prec@5 63.281 (61.237)
Epoch: [3][7020/14090]	Time 0.735 (0.754)	Data 0.001 (0.001)	Loss 2.9974 (2.9256)	Prec@1 27.344 (31.426)	Prec@5 55.469 (61.241)
Epoch: [3][7030/14090]	Time 0.753 (0.754)	Data 0.002 (0.001)	Loss 3.0795 (2.9256)	Prec@1 31.250 (31.425)	Prec@5 57.812 (61.240)
Epoch: [3][7040/14090]	Time 0.760 (0.754)	Data 0.001 (0.001)	Loss 3.1588 (2.9256)	Prec@1 28.125 (31.422)	Prec@5 59.375 (61.242)
Epoch: [3][7050/14090]	Time 0.757 (0.754)	Data 0.001 (0.001)	Loss 2.9998 (2.9255)	Prec@1 30.469 (31.423)	Prec@5 64.062 (61.244)
Epoch: [3][7060/14090]	Time 0.736 (0.754)	Data 0.001 (0.001)	Loss 2.8977 (2.9256)	Prec@1 28.906 (31.422)	Prec@5 62.500 (61.242)
Epoch: [3][7070/14090]	Time 0.744 (0.754)	Data 0.001 (0.001)	Loss 2.5948 (2.9254)	Prec@1 38.281 (31.423)	Prec@5 69.531 (61.246)
Epoch: [3][7080/14090]	Time 0.730 (0.754)	Data 0.001 (0.001)	Loss 3.0582 (2.9254)	Prec@1 32.031 (31.423)	Prec@5 60.156 (61.245)
Epoch: [3][7090/14090]	Time 0.734 (0.754)	Data 0.001 (0.001)	Loss 2.8682 (2.9254)	Prec@1 30.469 (31.424)	Prec@5 61.719 (61.246)
Epoch: [3][7100/14090]	Time 0.740 (0.754)	Data 0.002 (0.001)	Loss 2.6109 (2.9252)	Prec@1 37.500 (31.427)	Prec@5 64.844 (61.248)
Epoch: [3][7110/14090]	Time 0.764 (0.754)	Data 0.001 (0.001)	Loss 2.9544 (2.9252)	Prec@1 30.469 (31.429)	Prec@5 58.594 (61.248)
Epoch: [3][7120/14090]	Time 0.763 (0.754)	Data 0.001 (0.001)	Loss 2.7013 (2.9251)	Prec@1 37.500 (31.433)	Prec@5 67.188 (61.251)
Epoch: [3][7130/14090]	Time 0.736 (0.754)	Data 0.001 (0.001)	Loss 3.1482 (2.9252)	Prec@1 29.688 (31.431)	Prec@5 52.344 (61.249)
Epoch: [3][7140/14090]	Time 0.753 (0.754)	Data 0.001 (0.001)	Loss 3.0131 (2.9252)	Prec@1 29.688 (31.432)	Prec@5 57.812 (61.252)
Epoch: [3][7150/14090]	Time 0.766 (0.754)	Data 0.001 (0.001)	Loss 2.9091 (2.9252)	Prec@1 29.688 (31.429)	Prec@5 60.938 (61.251)
Epoch: [3][7160/14090]	Time 0.738 (0.754)	Data 0.001 (0.001)	Loss 2.9336 (2.9252)	Prec@1 34.375 (31.428)	Prec@5 56.250 (61.249)
Epoch: [3][7170/14090]	Time 0.743 (0.754)	Data 0.002 (0.001)	Loss 2.9236 (2.9252)	Prec@1 33.594 (31.428)	Prec@5 60.938 (61.250)
Epoch: [3][7180/14090]	Time 0.757 (0.754)	Data 0.001 (0.001)	Loss 3.0842 (2.9252)	Prec@1 28.906 (31.428)	Prec@5 60.938 (61.252)
Epoch: [3][7190/14090]	Time 0.775 (0.754)	Data 0.001 (0.001)	Loss 2.8976 (2.9250)	Prec@1 36.719 (31.433)	Prec@5 58.594 (61.256)
Epoch: [3][7200/14090]	Time 0.762 (0.754)	Data 0.001 (0.001)	Loss 3.0151 (2.9250)	Prec@1 27.344 (31.432)	Prec@5 64.844 (61.255)
Epoch: [3][7210/14090]	Time 0.761 (0.754)	Data 0.001 (0.001)	Loss 2.7301 (2.9249)	Prec@1 31.250 (31.429)	Prec@5 60.938 (61.258)
Epoch: [3][7220/14090]	Time 0.760 (0.754)	Data 0.001 (0.001)	Loss 2.7864 (2.9248)	Prec@1 32.031 (31.431)	Prec@5 67.969 (61.260)
Epoch: [3][7230/14090]	Time 0.765 (0.754)	Data 0.001 (0.001)	Loss 2.7176 (2.9246)	Prec@1 35.156 (31.432)	Prec@5 64.062 (61.262)
Epoch: [3][7240/14090]	Time 0.757 (0.754)	Data 0.002 (0.001)	Loss 3.0290 (2.9246)	Prec@1 34.375 (31.430)	Prec@5 60.156 (61.263)
Epoch: [3][7250/14090]	Time 0.773 (0.754)	Data 0.001 (0.001)	Loss 3.0323 (2.9248)	Prec@1 33.594 (31.429)	Prec@5 56.250 (61.260)
Epoch: [3][7260/14090]	Time 0.741 (0.754)	Data 0.001 (0.001)	Loss 2.9813 (2.9248)	Prec@1 28.906 (31.428)	Prec@5 65.625 (61.259)
Epoch: [3][7270/14090]	Time 0.737 (0.754)	Data 0.001 (0.001)	Loss 3.2578 (2.9249)	Prec@1 22.656 (31.428)	Prec@5 53.125 (61.259)
Epoch: [3][7280/14090]	Time 0.760 (0.754)	Data 0.001 (0.001)	Loss 3.0013 (2.9247)	Prec@1 27.344 (31.433)	Prec@5 62.500 (61.262)
Epoch: [3][7290/14090]	Time 0.752 (0.754)	Data 0.001 (0.001)	Loss 2.7689 (2.9248)	Prec@1 35.156 (31.435)	Prec@5 61.719 (61.259)
Epoch: [3][7300/14090]	Time 0.730 (0.754)	Data 0.001 (0.001)	Loss 2.7848 (2.9247)	Prec@1 31.250 (31.437)	Prec@5 60.938 (61.260)
Epoch: [3][7310/14090]	Time 0.778 (0.754)	Data 0.002 (0.001)	Loss 2.7191 (2.9246)	Prec@1 29.688 (31.437)	Prec@5 67.188 (61.263)
Epoch: [3][7320/14090]	Time 0.738 (0.754)	Data 0.001 (0.001)	Loss 3.1825 (2.9246)	Prec@1 27.344 (31.435)	Prec@5 58.594 (61.263)
Epoch: [3][7330/14090]	Time 0.748 (0.754)	Data 0.001 (0.001)	Loss 2.8739 (2.9246)	Prec@1 27.344 (31.437)	Prec@5 62.500 (61.265)
Epoch: [3][7340/14090]	Time 0.768 (0.754)	Data 0.001 (0.001)	Loss 2.8571 (2.9245)	Prec@1 29.688 (31.440)	Prec@5 64.844 (61.265)
Epoch: [3][7350/14090]	Time 0.739 (0.754)	Data 0.001 (0.001)	Loss 2.8113 (2.9244)	Prec@1 30.469 (31.441)	Prec@5 63.281 (61.266)
Epoch: [3][7360/14090]	Time 0.726 (0.754)	Data 0.001 (0.001)	Loss 2.9414 (2.9243)	Prec@1 30.469 (31.444)	Prec@5 60.938 (61.268)
Epoch: [3][7370/14090]	Time 0.748 (0.754)	Data 0.001 (0.001)	Loss 2.7483 (2.9244)	Prec@1 34.375 (31.443)	Prec@5 58.594 (61.267)
Epoch: [3][7380/14090]	Time 0.746 (0.754)	Data 0.002 (0.001)	Loss 2.6811 (2.9244)	Prec@1 35.156 (31.444)	Prec@5 65.625 (61.267)
Epoch: [3][7390/14090]	Time 0.738 (0.754)	Data 0.001 (0.001)	Loss 2.9824 (2.9244)	Prec@1 29.688 (31.446)	Prec@5 60.938 (61.267)
Epoch: [3][7400/14090]	Time 0.752 (0.754)	Data 0.001 (0.001)	Loss 2.9077 (2.9245)	Prec@1 31.250 (31.444)	Prec@5 58.594 (61.262)
Epoch: [3][7410/14090]	Time 0.730 (0.754)	Data 0.001 (0.001)	Loss 3.1732 (2.9245)	Prec@1 26.562 (31.443)	Prec@5 49.219 (61.261)
Epoch: [3][7420/14090]	Time 0.775 (0.754)	Data 0.001 (0.001)	Loss 3.0715 (2.9245)	Prec@1 27.344 (31.444)	Prec@5 56.250 (61.261)
Epoch: [3][7430/14090]	Time 0.784 (0.754)	Data 0.001 (0.001)	Loss 3.0837 (2.9245)	Prec@1 28.906 (31.443)	Prec@5 57.812 (61.262)
Epoch: [3][7440/14090]	Time 0.751 (0.754)	Data 0.001 (0.001)	Loss 2.5813 (2.9244)	Prec@1 39.844 (31.445)	Prec@5 69.531 (61.265)
Epoch: [3][7450/14090]	Time 0.764 (0.754)	Data 0.003 (0.001)	Loss 3.2001 (2.9244)	Prec@1 21.094 (31.441)	Prec@5 56.250 (61.263)
Epoch: [3][7460/14090]	Time 0.739 (0.754)	Data 0.001 (0.001)	Loss 2.8142 (2.9243)	Prec@1 29.688 (31.442)	Prec@5 62.500 (61.264)
Epoch: [3][7470/14090]	Time 0.746 (0.754)	Data 0.001 (0.001)	Loss 2.7436 (2.9243)	Prec@1 38.281 (31.444)	Prec@5 62.500 (61.264)
Epoch: [3][7480/14090]	Time 0.760 (0.754)	Data 0.002 (0.001)	Loss 3.1173 (2.9243)	Prec@1 24.219 (31.445)	Prec@5 60.938 (61.265)
Epoch: [3][7490/14090]	Time 0.772 (0.754)	Data 0.001 (0.001)	Loss 2.8145 (2.9243)	Prec@1 36.719 (31.443)	Prec@5 68.750 (61.264)
Epoch: [3][7500/14090]	Time 0.771 (0.754)	Data 0.001 (0.001)	Loss 2.7957 (2.9244)	Prec@1 35.156 (31.443)	Prec@5 61.719 (61.261)
Epoch: [3][7510/14090]	Time 0.782 (0.754)	Data 0.001 (0.001)	Loss 2.6084 (2.9243)	Prec@1 37.500 (31.445)	Prec@5 67.188 (61.262)
Epoch: [3][7520/14090]	Time 0.725 (0.754)	Data 0.001 (0.001)	Loss 3.0941 (2.9242)	Prec@1 25.781 (31.445)	Prec@5 59.375 (61.265)
Epoch: [3][7530/14090]	Time 0.772 (0.754)	Data 0.001 (0.001)	Loss 2.8569 (2.9243)	Prec@1 35.156 (31.446)	Prec@5 63.281 (61.263)
Epoch: [3][7540/14090]	Time 0.771 (0.754)	Data 0.001 (0.001)	Loss 3.2325 (2.9245)	Prec@1 26.562 (31.445)	Prec@5 52.344 (61.260)
Epoch: [3][7550/14090]	Time 0.759 (0.754)	Data 0.001 (0.001)	Loss 3.0093 (2.9245)	Prec@1 32.031 (31.447)	Prec@5 53.906 (61.260)
Epoch: [3][7560/14090]	Time 0.768 (0.754)	Data 0.001 (0.001)	Loss 2.8688 (2.9244)	Prec@1 33.594 (31.446)	Prec@5 60.938 (61.258)
Epoch: [3][7570/14090]	Time 0.738 (0.754)	Data 0.001 (0.001)	Loss 3.0678 (2.9245)	Prec@1 28.125 (31.446)	Prec@5 56.250 (61.258)
Epoch: [3][7580/14090]	Time 0.774 (0.754)	Data 0.001 (0.001)	Loss 2.7646 (2.9244)	Prec@1 37.500 (31.447)	Prec@5 61.719 (61.258)
Epoch: [3][7590/14090]	Time 0.741 (0.754)	Data 0.002 (0.001)	Loss 2.9030 (2.9245)	Prec@1 33.594 (31.445)	Prec@5 62.500 (61.256)
Epoch: [3][7600/14090]	Time 0.744 (0.754)	Data 0.001 (0.001)	Loss 2.8183 (2.9245)	Prec@1 34.375 (31.446)	Prec@5 62.500 (61.257)
Epoch: [3][7610/14090]	Time 0.749 (0.754)	Data 0.001 (0.001)	Loss 2.6013 (2.9244)	Prec@1 36.719 (31.449)	Prec@5 61.719 (61.257)
Epoch: [3][7620/14090]	Time 0.722 (0.754)	Data 0.001 (0.001)	Loss 2.7939 (2.9245)	Prec@1 30.469 (31.447)	Prec@5 64.062 (61.259)
Epoch: [3][7630/14090]	Time 0.749 (0.754)	Data 0.001 (0.001)	Loss 2.6944 (2.9244)	Prec@1 32.031 (31.447)	Prec@5 61.719 (61.259)
Epoch: [3][7640/14090]	Time 0.745 (0.754)	Data 0.001 (0.001)	Loss 3.0256 (2.9245)	Prec@1 34.375 (31.447)	Prec@5 57.031 (61.258)
Epoch: [3][7650/14090]	Time 0.791 (0.754)	Data 0.001 (0.001)	Loss 3.0081 (2.9244)	Prec@1 37.500 (31.449)	Prec@5 55.469 (61.260)
Epoch: [3][7660/14090]	Time 0.749 (0.754)	Data 0.002 (0.001)	Loss 2.6836 (2.9244)	Prec@1 34.375 (31.448)	Prec@5 64.844 (61.261)
Epoch: [3][7670/14090]	Time 0.742 (0.754)	Data 0.001 (0.001)	Loss 2.8844 (2.9245)	Prec@1 36.719 (31.447)	Prec@5 64.062 (61.260)
Epoch: [3][7680/14090]	Time 0.750 (0.754)	Data 0.001 (0.001)	Loss 3.3091 (2.9246)	Prec@1 25.781 (31.443)	Prec@5 52.344 (61.256)
Epoch: [3][7690/14090]	Time 0.777 (0.754)	Data 0.001 (0.001)	Loss 2.9741 (2.9248)	Prec@1 28.906 (31.442)	Prec@5 60.938 (61.251)
Epoch: [3][7700/14090]	Time 0.734 (0.754)	Data 0.001 (0.001)	Loss 2.9004 (2.9248)	Prec@1 31.250 (31.438)	Prec@5 62.500 (61.251)
Epoch: [3][7710/14090]	Time 0.762 (0.754)	Data 0.001 (0.001)	Loss 3.0275 (2.9247)	Prec@1 29.688 (31.438)	Prec@5 56.250 (61.252)
Epoch: [3][7720/14090]	Time 0.767 (0.754)	Data 0.001 (0.001)	Loss 3.0358 (2.9247)	Prec@1 31.250 (31.437)	Prec@5 60.938 (61.252)
Epoch: [3][7730/14090]	Time 0.741 (0.754)	Data 0.001 (0.001)	Loss 2.6810 (2.9246)	Prec@1 38.281 (31.438)	Prec@5 67.188 (61.254)
Epoch: [3][7740/14090]	Time 0.733 (0.754)	Data 0.001 (0.001)	Loss 2.8955 (2.9247)	Prec@1 31.250 (31.436)	Prec@5 59.375 (61.252)
Epoch: [3][7750/14090]	Time 0.753 (0.754)	Data 0.001 (0.001)	Loss 2.7882 (2.9246)	Prec@1 34.375 (31.437)	Prec@5 67.188 (61.255)
Epoch: [3][7760/14090]	Time 0.773 (0.754)	Data 0.001 (0.001)	Loss 3.1041 (2.9245)	Prec@1 28.125 (31.437)	Prec@5 55.469 (61.257)
Epoch: [3][7770/14090]	Time 0.750 (0.754)	Data 0.001 (0.001)	Loss 3.0389 (2.9244)	Prec@1 26.562 (31.436)	Prec@5 59.375 (61.259)
Epoch: [3][7780/14090]	Time 0.766 (0.754)	Data 0.001 (0.001)	Loss 3.0167 (2.9244)	Prec@1 34.375 (31.437)	Prec@5 60.156 (61.259)
Epoch: [3][7790/14090]	Time 0.759 (0.754)	Data 0.001 (0.001)	Loss 2.8366 (2.9243)	Prec@1 29.688 (31.440)	Prec@5 62.500 (61.262)
Epoch: [3][7800/14090]	Time 0.737 (0.754)	Data 0.002 (0.001)	Loss 2.7552 (2.9243)	Prec@1 35.938 (31.439)	Prec@5 67.188 (61.263)
Epoch: [3][7810/14090]	Time 0.758 (0.754)	Data 0.001 (0.001)	Loss 3.0702 (2.9243)	Prec@1 28.906 (31.441)	Prec@5 57.031 (61.262)
Epoch: [3][7820/14090]	Time 0.761 (0.754)	Data 0.001 (0.001)	Loss 2.6820 (2.9242)	Prec@1 34.375 (31.445)	Prec@5 66.406 (61.262)
Epoch: [3][7830/14090]	Time 0.743 (0.754)	Data 0.001 (0.001)	Loss 3.3518 (2.9244)	Prec@1 28.125 (31.445)	Prec@5 48.438 (61.260)
Epoch: [3][7840/14090]	Time 0.723 (0.754)	Data 0.001 (0.001)	Loss 2.9246 (2.9244)	Prec@1 26.562 (31.444)	Prec@5 55.469 (61.257)
Epoch: [3][7850/14090]	Time 0.739 (0.754)	Data 0.001 (0.001)	Loss 2.8228 (2.9244)	Prec@1 29.688 (31.442)	Prec@5 61.719 (61.257)
Epoch: [3][7860/14090]	Time 0.755 (0.754)	Data 0.001 (0.001)	Loss 3.0223 (2.9245)	Prec@1 28.125 (31.441)	Prec@5 60.938 (61.256)
Epoch: [3][7870/14090]	Time 0.744 (0.754)	Data 0.002 (0.001)	Loss 2.8557 (2.9245)	Prec@1 32.031 (31.440)	Prec@5 62.500 (61.256)
Epoch: [3][7880/14090]	Time 0.766 (0.754)	Data 0.001 (0.001)	Loss 2.8287 (2.9245)	Prec@1 34.375 (31.440)	Prec@5 65.625 (61.256)
Epoch: [3][7890/14090]	Time 0.747 (0.754)	Data 0.001 (0.001)	Loss 2.7353 (2.9245)	Prec@1 36.719 (31.441)	Prec@5 64.062 (61.257)
Epoch: [3][7900/14090]	Time 0.787 (0.754)	Data 0.001 (0.001)	Loss 2.8780 (2.9244)	Prec@1 29.688 (31.442)	Prec@5 60.938 (61.258)
Epoch: [3][7910/14090]	Time 0.723 (0.754)	Data 0.001 (0.001)	Loss 2.8172 (2.9243)	Prec@1 35.938 (31.444)	Prec@5 67.188 (61.261)
Epoch: [3][7920/14090]	Time 0.755 (0.754)	Data 0.001 (0.001)	Loss 3.1530 (2.9243)	Prec@1 30.469 (31.445)	Prec@5 59.375 (61.261)
Epoch: [3][7930/14090]	Time 0.776 (0.754)	Data 0.001 (0.001)	Loss 2.5340 (2.9243)	Prec@1 39.062 (31.446)	Prec@5 67.969 (61.263)
Epoch: [3][7940/14090]	Time 0.754 (0.754)	Data 0.002 (0.001)	Loss 3.0899 (2.9243)	Prec@1 26.562 (31.445)	Prec@5 53.906 (61.262)
Epoch: [3][7950/14090]	Time 0.724 (0.754)	Data 0.001 (0.001)	Loss 3.1642 (2.9242)	Prec@1 27.344 (31.446)	Prec@5 52.344 (61.262)
Epoch: [3][7960/14090]	Time 0.731 (0.754)	Data 0.001 (0.001)	Loss 2.7300 (2.9241)	Prec@1 34.375 (31.450)	Prec@5 63.281 (61.263)
Epoch: [3][7970/14090]	Time 0.781 (0.754)	Data 0.001 (0.001)	Loss 3.1115 (2.9242)	Prec@1 25.781 (31.448)	Prec@5 60.156 (61.261)
Epoch: [3][7980/14090]	Time 0.734 (0.754)	Data 0.001 (0.001)	Loss 2.6988 (2.9242)	Prec@1 34.375 (31.446)	Prec@5 60.156 (61.260)
Epoch: [3][7990/14090]	Time 0.763 (0.754)	Data 0.001 (0.001)	Loss 3.0471 (2.9241)	Prec@1 26.562 (31.448)	Prec@5 57.812 (61.258)
Epoch: [3][8000/14090]	Time 0.740 (0.754)	Data 0.001 (0.001)	Loss 2.7853 (2.9241)	Prec@1 34.375 (31.452)	Prec@5 67.969 (61.257)
Epoch: [3][8010/14090]	Time 0.762 (0.754)	Data 0.002 (0.001)	Loss 2.9927 (2.9241)	Prec@1 35.156 (31.452)	Prec@5 59.375 (61.257)
Epoch: [3][8020/14090]	Time 0.745 (0.754)	Data 0.001 (0.001)	Loss 3.0172 (2.9241)	Prec@1 27.344 (31.452)	Prec@5 60.938 (61.259)
Epoch: [3][8030/14090]	Time 0.757 (0.754)	Data 0.001 (0.001)	Loss 2.6108 (2.9241)	Prec@1 32.031 (31.453)	Prec@5 71.875 (61.258)
Epoch: [3][8040/14090]	Time 0.743 (0.754)	Data 0.001 (0.001)	Loss 2.8678 (2.9240)	Prec@1 28.906 (31.453)	Prec@5 64.844 (61.259)
Epoch: [3][8050/14090]	Time 0.764 (0.754)	Data 0.001 (0.001)	Loss 2.7448 (2.9240)	Prec@1 35.938 (31.455)	Prec@5 69.531 (61.261)
Epoch: [3][8060/14090]	Time 0.749 (0.754)	Data 0.001 (0.001)	Loss 3.2710 (2.9241)	Prec@1 21.875 (31.453)	Prec@5 57.031 (61.261)
Epoch: [3][8070/14090]	Time 0.731 (0.754)	Data 0.001 (0.001)	Loss 2.9806 (2.9242)	Prec@1 28.906 (31.452)	Prec@5 59.375 (61.261)
Epoch: [3][8080/14090]	Time 0.769 (0.754)	Data 0.002 (0.001)	Loss 2.9660 (2.9241)	Prec@1 32.031 (31.454)	Prec@5 62.500 (61.263)
Epoch: [3][8090/14090]	Time 0.745 (0.754)	Data 0.001 (0.001)	Loss 2.7431 (2.9241)	Prec@1 31.250 (31.453)	Prec@5 63.281 (61.264)
Epoch: [3][8100/14090]	Time 0.749 (0.754)	Data 0.001 (0.001)	Loss 2.7563 (2.9240)	Prec@1 35.938 (31.454)	Prec@5 61.719 (61.265)
Epoch: [3][8110/14090]	Time 0.764 (0.754)	Data 0.001 (0.001)	Loss 2.8778 (2.9240)	Prec@1 32.812 (31.452)	Prec@5 64.844 (61.264)
Epoch: [3][8120/14090]	Time 0.735 (0.754)	Data 0.001 (0.001)	Loss 3.0237 (2.9240)	Prec@1 26.562 (31.451)	Prec@5 58.594 (61.264)
Epoch: [3][8130/14090]	Time 0.776 (0.754)	Data 0.001 (0.001)	Loss 3.1181 (2.9241)	Prec@1 28.906 (31.449)	Prec@5 58.594 (61.263)
Epoch: [3][8140/14090]	Time 0.736 (0.754)	Data 0.001 (0.001)	Loss 2.6659 (2.9242)	Prec@1 37.500 (31.448)	Prec@5 68.750 (61.262)
Epoch: [3][8150/14090]	Time 0.759 (0.754)	Data 0.002 (0.001)	Loss 2.9701 (2.9243)	Prec@1 31.250 (31.447)	Prec@5 59.375 (61.258)
Epoch: [3][8160/14090]	Time 0.751 (0.754)	Data 0.001 (0.001)	Loss 2.6628 (2.9243)	Prec@1 36.719 (31.445)	Prec@5 67.969 (61.258)
Epoch: [3][8170/14090]	Time 0.760 (0.754)	Data 0.001 (0.001)	Loss 2.6255 (2.9242)	Prec@1 32.031 (31.448)	Prec@5 64.844 (61.258)
Epoch: [3][8180/14090]	Time 0.758 (0.754)	Data 0.001 (0.001)	Loss 3.0609 (2.9242)	Prec@1 30.469 (31.450)	Prec@5 59.375 (61.258)
Epoch: [3][8190/14090]	Time 0.757 (0.754)	Data 0.001 (0.001)	Loss 2.9700 (2.9242)	Prec@1 29.688 (31.451)	Prec@5 60.156 (61.257)
Epoch: [3][8200/14090]	Time 0.735 (0.754)	Data 0.001 (0.001)	Loss 2.7439 (2.9242)	Prec@1 34.375 (31.448)	Prec@5 60.938 (61.257)
Epoch: [3][8210/14090]	Time 0.765 (0.754)	Data 0.001 (0.001)	Loss 2.8623 (2.9242)	Prec@1 32.812 (31.447)	Prec@5 63.281 (61.256)
Epoch: [3][8220/14090]	Time 0.777 (0.754)	Data 0.001 (0.001)	Loss 2.6808 (2.9242)	Prec@1 40.625 (31.449)	Prec@5 64.062 (61.257)
Epoch: [3][8230/14090]	Time 0.765 (0.754)	Data 0.001 (0.001)	Loss 3.1856 (2.9243)	Prec@1 23.438 (31.446)	Prec@5 48.438 (61.253)
Epoch: [3][8240/14090]	Time 0.743 (0.754)	Data 0.001 (0.001)	Loss 2.7247 (2.9244)	Prec@1 35.938 (31.445)	Prec@5 68.750 (61.251)
Epoch: [3][8250/14090]	Time 0.785 (0.754)	Data 0.001 (0.001)	Loss 2.9078 (2.9244)	Prec@1 35.156 (31.445)	Prec@5 64.844 (61.253)
Epoch: [3][8260/14090]	Time 0.758 (0.754)	Data 0.001 (0.001)	Loss 2.6185 (2.9242)	Prec@1 39.062 (31.448)	Prec@5 68.750 (61.256)
Epoch: [3][8270/14090]	Time 0.737 (0.754)	Data 0.001 (0.001)	Loss 3.1576 (2.9243)	Prec@1 25.000 (31.446)	Prec@5 57.812 (61.254)
Epoch: [3][8280/14090]	Time 0.771 (0.754)	Data 0.001 (0.001)	Loss 3.2190 (2.9243)	Prec@1 31.250 (31.446)	Prec@5 55.469 (61.254)
Epoch: [3][8290/14090]	Time 0.773 (0.754)	Data 0.002 (0.001)	Loss 2.9527 (2.9242)	Prec@1 33.594 (31.448)	Prec@5 62.500 (61.256)
Epoch: [3][8300/14090]	Time 0.750 (0.754)	Data 0.001 (0.001)	Loss 3.1807 (2.9243)	Prec@1 28.125 (31.446)	Prec@5 53.125 (61.255)
Epoch: [3][8310/14090]	Time 0.744 (0.754)	Data 0.001 (0.001)	Loss 2.9475 (2.9244)	Prec@1 32.812 (31.444)	Prec@5 58.594 (61.252)
Epoch: [3][8320/14090]	Time 0.773 (0.754)	Data 0.001 (0.001)	Loss 2.6656 (2.9244)	Prec@1 38.281 (31.444)	Prec@5 71.875 (61.252)
Epoch: [3][8330/14090]	Time 0.766 (0.754)	Data 0.001 (0.001)	Loss 2.8994 (2.9244)	Prec@1 35.938 (31.443)	Prec@5 64.844 (61.253)
Epoch: [3][8340/14090]	Time 0.733 (0.754)	Data 0.001 (0.001)	Loss 2.8821 (2.9244)	Prec@1 32.031 (31.443)	Prec@5 60.156 (61.253)
Epoch: [3][8350/14090]	Time 0.768 (0.754)	Data 0.001 (0.001)	Loss 3.1210 (2.9245)	Prec@1 34.375 (31.441)	Prec@5 56.250 (61.251)
Epoch: [3][8360/14090]	Time 0.770 (0.754)	Data 0.002 (0.001)	Loss 3.0716 (2.9244)	Prec@1 27.344 (31.441)	Prec@5 55.469 (61.253)
Epoch: [3][8370/14090]	Time 0.736 (0.754)	Data 0.001 (0.001)	Loss 2.9943 (2.9245)	Prec@1 32.031 (31.439)	Prec@5 60.938 (61.251)
Epoch: [3][8380/14090]	Time 0.733 (0.754)	Data 0.001 (0.001)	Loss 2.9984 (2.9246)	Prec@1 32.812 (31.438)	Prec@5 53.906 (61.248)
Epoch: [3][8390/14090]	Time 0.762 (0.754)	Data 0.001 (0.001)	Loss 3.0512 (2.9245)	Prec@1 33.594 (31.439)	Prec@5 58.594 (61.249)
Epoch: [3][8400/14090]	Time 0.765 (0.754)	Data 0.001 (0.001)	Loss 2.9248 (2.9245)	Prec@1 30.469 (31.439)	Prec@5 59.375 (61.250)
Epoch: [3][8410/14090]	Time 0.735 (0.754)	Data 0.001 (0.001)	Loss 3.0452 (2.9245)	Prec@1 26.562 (31.438)	Prec@5 57.812 (61.250)
Epoch: [3][8420/14090]	Time 0.743 (0.754)	Data 0.001 (0.001)	Loss 2.9655 (2.9244)	Prec@1 35.156 (31.438)	Prec@5 61.719 (61.253)
Epoch: [3][8430/14090]	Time 0.745 (0.754)	Data 0.002 (0.001)	Loss 3.1168 (2.9244)	Prec@1 27.344 (31.440)	Prec@5 55.469 (61.254)
Epoch: [3][8440/14090]	Time 0.755 (0.754)	Data 0.001 (0.001)	Loss 2.6805 (2.9243)	Prec@1 39.844 (31.444)	Prec@5 64.062 (61.256)
Epoch: [3][8450/14090]	Time 0.750 (0.754)	Data 0.001 (0.001)	Loss 2.8091 (2.9243)	Prec@1 37.500 (31.446)	Prec@5 60.938 (61.256)
Epoch: [3][8460/14090]	Time 0.768 (0.754)	Data 0.001 (0.001)	Loss 2.8839 (2.9242)	Prec@1 32.812 (31.448)	Prec@5 60.156 (61.256)
Epoch: [3][8470/14090]	Time 0.734 (0.754)	Data 0.001 (0.001)	Loss 2.7604 (2.9243)	Prec@1 33.594 (31.446)	Prec@5 62.500 (61.254)
Epoch: [3][8480/14090]	Time 0.777 (0.754)	Data 0.001 (0.001)	Loss 2.8322 (2.9242)	Prec@1 28.125 (31.448)	Prec@5 61.719 (61.256)
Epoch: [3][8490/14090]	Time 0.779 (0.754)	Data 0.001 (0.001)	Loss 3.0061 (2.9242)	Prec@1 28.906 (31.448)	Prec@5 60.938 (61.258)
Epoch: [3][8500/14090]	Time 0.758 (0.754)	Data 0.002 (0.001)	Loss 3.0611 (2.9242)	Prec@1 26.562 (31.448)	Prec@5 55.469 (61.256)
Epoch: [3][8510/14090]	Time 0.721 (0.754)	Data 0.001 (0.001)	Loss 2.6344 (2.9242)	Prec@1 36.719 (31.448)	Prec@5 67.188 (61.256)
Epoch: [3][8520/14090]	Time 0.735 (0.754)	Data 0.001 (0.001)	Loss 3.0461 (2.9242)	Prec@1 26.562 (31.448)	Prec@5 63.281 (61.256)
Epoch: [3][8530/14090]	Time 0.737 (0.754)	Data 0.001 (0.001)	Loss 2.8422 (2.9242)	Prec@1 33.594 (31.448)	Prec@5 62.500 (61.254)
Epoch: [3][8540/14090]	Time 0.738 (0.754)	Data 0.001 (0.001)	Loss 2.5612 (2.9242)	Prec@1 39.062 (31.449)	Prec@5 66.406 (61.256)
Epoch: [3][8550/14090]	Time 0.744 (0.754)	Data 0.001 (0.001)	Loss 2.6372 (2.9241)	Prec@1 35.156 (31.449)	Prec@5 65.625 (61.256)
Epoch: [3][8560/14090]	Time 0.742 (0.754)	Data 0.001 (0.001)	Loss 3.2690 (2.9243)	Prec@1 20.312 (31.446)	Prec@5 50.000 (61.251)
Epoch: [3][8570/14090]	Time 0.749 (0.754)	Data 0.002 (0.001)	Loss 3.0061 (2.9243)	Prec@1 35.938 (31.445)	Prec@5 59.375 (61.250)
Epoch: [3][8580/14090]	Time 0.752 (0.754)	Data 0.001 (0.001)	Loss 2.7392 (2.9244)	Prec@1 40.625 (31.445)	Prec@5 66.406 (61.252)
Epoch: [3][8590/14090]	Time 0.742 (0.754)	Data 0.001 (0.001)	Loss 3.1916 (2.9243)	Prec@1 30.469 (31.446)	Prec@5 57.812 (61.252)
Epoch: [3][8600/14090]	Time 0.749 (0.754)	Data 0.001 (0.001)	Loss 2.7032 (2.9243)	Prec@1 35.938 (31.447)	Prec@5 63.281 (61.255)
Epoch: [3][8610/14090]	Time 0.738 (0.754)	Data 0.001 (0.001)	Loss 3.0348 (2.9243)	Prec@1 31.250 (31.446)	Prec@5 62.500 (61.254)
Epoch: [3][8620/14090]	Time 0.756 (0.754)	Data 0.001 (0.001)	Loss 2.9844 (2.9243)	Prec@1 27.344 (31.447)	Prec@5 62.500 (61.254)
Epoch: [3][8630/14090]	Time 0.748 (0.754)	Data 0.001 (0.001)	Loss 3.3312 (2.9244)	Prec@1 25.781 (31.447)	Prec@5 50.000 (61.253)
Epoch: [3][8640/14090]	Time 0.736 (0.754)	Data 0.002 (0.001)	Loss 3.0107 (2.9244)	Prec@1 33.594 (31.447)	Prec@5 63.281 (61.254)
Epoch: [3][8650/14090]	Time 0.739 (0.754)	Data 0.001 (0.001)	Loss 2.9281 (2.9244)	Prec@1 31.250 (31.447)	Prec@5 60.156 (61.254)
Epoch: [3][8660/14090]	Time 0.746 (0.754)	Data 0.001 (0.001)	Loss 3.2557 (2.9244)	Prec@1 25.000 (31.448)	Prec@5 61.719 (61.256)
Epoch: [3][8670/14090]	Time 0.767 (0.754)	Data 0.001 (0.001)	Loss 2.9511 (2.9244)	Prec@1 32.812 (31.448)	Prec@5 59.375 (61.256)
Epoch: [3][8680/14090]	Time 0.758 (0.754)	Data 0.001 (0.001)	Loss 2.7862 (2.9244)	Prec@1 32.031 (31.446)	Prec@5 63.281 (61.255)
Epoch: [3][8690/14090]	Time 0.745 (0.754)	Data 0.001 (0.001)	Loss 2.6855 (2.9243)	Prec@1 35.938 (31.446)	Prec@5 66.406 (61.258)
Epoch: [3][8700/14090]	Time 0.744 (0.754)	Data 0.001 (0.001)	Loss 2.8461 (2.9242)	Prec@1 36.719 (31.449)	Prec@5 60.156 (61.260)
Epoch: [3][8710/14090]	Time 0.754 (0.754)	Data 0.002 (0.001)	Loss 3.4077 (2.9243)	Prec@1 23.438 (31.447)	Prec@5 55.469 (61.258)
Epoch: [3][8720/14090]	Time 0.783 (0.754)	Data 0.001 (0.001)	Loss 3.0098 (2.9242)	Prec@1 35.156 (31.449)	Prec@5 55.469 (61.259)
Epoch: [3][8730/14090]	Time 0.794 (0.754)	Data 0.001 (0.001)	Loss 2.7818 (2.9243)	Prec@1 32.812 (31.450)	Prec@5 57.812 (61.258)
Epoch: [3][8740/14090]	Time 0.733 (0.754)	Data 0.001 (0.001)	Loss 2.6722 (2.9243)	Prec@1 33.594 (31.450)	Prec@5 67.188 (61.258)
Epoch: [3][8750/14090]	Time 0.752 (0.754)	Data 0.001 (0.001)	Loss 2.7432 (2.9242)	Prec@1 29.688 (31.449)	Prec@5 64.062 (61.260)
Epoch: [3][8760/14090]	Time 0.746 (0.754)	Data 0.001 (0.001)	Loss 2.9654 (2.9242)	Prec@1 24.219 (31.448)	Prec@5 60.938 (61.258)
Epoch: [3][8770/14090]	Time 0.746 (0.754)	Data 0.001 (0.001)	Loss 2.7594 (2.9242)	Prec@1 35.156 (31.450)	Prec@5 62.500 (61.257)
Epoch: [3][8780/14090]	Time 0.783 (0.754)	Data 0.002 (0.001)	Loss 3.0024 (2.9243)	Prec@1 32.031 (31.449)	Prec@5 58.594 (61.255)
Epoch: [3][8790/14090]	Time 0.733 (0.754)	Data 0.001 (0.001)	Loss 2.7905 (2.9242)	Prec@1 34.375 (31.451)	Prec@5 64.062 (61.257)
Epoch: [3][8800/14090]	Time 0.743 (0.754)	Data 0.001 (0.001)	Loss 3.0870 (2.9242)	Prec@1 28.906 (31.452)	Prec@5 57.031 (61.256)
Epoch: [3][8810/14090]	Time 0.742 (0.754)	Data 0.001 (0.001)	Loss 2.8126 (2.9242)	Prec@1 32.812 (31.452)	Prec@5 64.062 (61.257)
Epoch: [3][8820/14090]	Time 0.736 (0.754)	Data 0.001 (0.001)	Loss 2.7784 (2.9242)	Prec@1 35.156 (31.451)	Prec@5 59.375 (61.256)
Epoch: [3][8830/14090]	Time 0.762 (0.754)	Data 0.001 (0.001)	Loss 2.7440 (2.9241)	Prec@1 38.281 (31.453)	Prec@5 58.594 (61.257)
Epoch: [3][8840/14090]	Time 0.754 (0.754)	Data 0.001 (0.001)	Loss 3.0172 (2.9242)	Prec@1 30.469 (31.451)	Prec@5 56.250 (61.256)
Epoch: [3][8850/14090]	Time 0.758 (0.754)	Data 0.003 (0.001)	Loss 2.7416 (2.9242)	Prec@1 36.719 (31.450)	Prec@5 63.281 (61.254)
Epoch: [3][8860/14090]	Time 0.735 (0.754)	Data 0.001 (0.001)	Loss 2.7046 (2.9241)	Prec@1 32.031 (31.452)	Prec@5 66.406 (61.257)
Epoch: [3][8870/14090]	Time 0.765 (0.754)	Data 0.001 (0.001)	Loss 2.8265 (2.9241)	Prec@1 31.250 (31.451)	Prec@5 61.719 (61.256)
Epoch: [3][8880/14090]	Time 0.785 (0.754)	Data 0.001 (0.001)	Loss 2.9072 (2.9241)	Prec@1 31.250 (31.451)	Prec@5 60.156 (61.256)
Epoch: [3][8890/14090]	Time 0.740 (0.754)	Data 0.001 (0.001)	Loss 2.9430 (2.9240)	Prec@1 34.375 (31.452)	Prec@5 62.500 (61.257)
Epoch: [3][8900/14090]	Time 0.737 (0.754)	Data 0.001 (0.001)	Loss 3.1934 (2.9240)	Prec@1 31.250 (31.452)	Prec@5 53.906 (61.258)
Epoch: [3][8910/14090]	Time 0.753 (0.754)	Data 0.001 (0.001)	Loss 2.9468 (2.9240)	Prec@1 32.031 (31.451)	Prec@5 57.812 (61.260)
Epoch: [3][8920/14090]	Time 0.771 (0.754)	Data 0.002 (0.001)	Loss 2.5151 (2.9239)	Prec@1 34.375 (31.454)	Prec@5 69.531 (61.260)
Epoch: [3][8930/14090]	Time 0.750 (0.754)	Data 0.001 (0.001)	Loss 3.0146 (2.9238)	Prec@1 31.250 (31.456)	Prec@5 62.500 (61.263)
Epoch: [3][8940/14090]	Time 0.755 (0.754)	Data 0.001 (0.001)	Loss 2.8111 (2.9238)	Prec@1 31.250 (31.455)	Prec@5 60.156 (61.262)
Epoch: [3][8950/14090]	Time 0.786 (0.754)	Data 0.001 (0.001)	Loss 2.9598 (2.9238)	Prec@1 27.344 (31.453)	Prec@5 60.938 (61.263)
Epoch: [3][8960/14090]	Time 0.756 (0.754)	Data 0.001 (0.001)	Loss 2.9290 (2.9237)	Prec@1 35.156 (31.455)	Prec@5 60.156 (61.265)
Epoch: [3][8970/14090]	Time 0.754 (0.754)	Data 0.001 (0.001)	Loss 2.9398 (2.9236)	Prec@1 36.719 (31.458)	Prec@5 57.812 (61.266)
Epoch: [3][8980/14090]	Time 0.777 (0.754)	Data 0.001 (0.001)	Loss 2.9871 (2.9236)	Prec@1 23.438 (31.460)	Prec@5 60.156 (61.267)
Epoch: [3][8990/14090]	Time 0.767 (0.754)	Data 0.002 (0.001)	Loss 3.1970 (2.9236)	Prec@1 32.031 (31.459)	Prec@5 53.906 (61.268)
Epoch: [3][9000/14090]	Time 0.742 (0.754)	Data 0.001 (0.001)	Loss 3.0820 (2.9236)	Prec@1 32.031 (31.458)	Prec@5 57.812 (61.268)
Epoch: [3][9010/14090]	Time 0.788 (0.754)	Data 0.001 (0.001)	Loss 3.0847 (2.9235)	Prec@1 27.344 (31.458)	Prec@5 57.031 (61.270)
Epoch: [3][9020/14090]	Time 0.796 (0.754)	Data 0.001 (0.001)	Loss 2.8538 (2.9234)	Prec@1 32.812 (31.459)	Prec@5 64.062 (61.272)
Epoch: [3][9030/14090]	Time 0.748 (0.754)	Data 0.001 (0.001)	Loss 2.9990 (2.9234)	Prec@1 34.375 (31.460)	Prec@5 60.938 (61.272)
Epoch: [3][9040/14090]	Time 0.734 (0.754)	Data 0.001 (0.001)	Loss 2.8442 (2.9234)	Prec@1 32.031 (31.459)	Prec@5 63.281 (61.273)
Epoch: [3][9050/14090]	Time 0.780 (0.754)	Data 0.001 (0.001)	Loss 2.9175 (2.9234)	Prec@1 34.375 (31.459)	Prec@5 60.156 (61.272)
Epoch: [3][9060/14090]	Time 0.765 (0.754)	Data 0.002 (0.001)	Loss 3.2588 (2.9233)	Prec@1 23.438 (31.458)	Prec@5 59.375 (61.274)
Epoch: [3][9070/14090]	Time 0.743 (0.754)	Data 0.001 (0.001)	Loss 2.6616 (2.9233)	Prec@1 39.062 (31.458)	Prec@5 60.938 (61.274)
Epoch: [3][9080/14090]	Time 0.758 (0.754)	Data 0.001 (0.001)	Loss 2.9277 (2.9232)	Prec@1 32.031 (31.460)	Prec@5 57.812 (61.273)
Epoch: [3][9090/14090]	Time 0.738 (0.754)	Data 0.001 (0.001)	Loss 2.9808 (2.9232)	Prec@1 34.375 (31.462)	Prec@5 61.719 (61.273)
Epoch: [3][9100/14090]	Time 0.778 (0.754)	Data 0.001 (0.001)	Loss 2.8246 (2.9231)	Prec@1 36.719 (31.463)	Prec@5 65.625 (61.276)
Epoch: [3][9110/14090]	Time 0.758 (0.754)	Data 0.001 (0.001)	Loss 2.8908 (2.9231)	Prec@1 35.938 (31.462)	Prec@5 56.250 (61.274)
Epoch: [3][9120/14090]	Time 0.738 (0.754)	Data 0.001 (0.001)	Loss 3.0886 (2.9231)	Prec@1 32.031 (31.461)	Prec@5 60.938 (61.275)
Epoch: [3][9130/14090]	Time 0.754 (0.754)	Data 0.002 (0.001)	Loss 3.1923 (2.9231)	Prec@1 23.438 (31.462)	Prec@5 53.906 (61.273)
Epoch: [3][9140/14090]	Time 0.742 (0.754)	Data 0.001 (0.001)	Loss 3.1421 (2.9231)	Prec@1 26.562 (31.464)	Prec@5 58.594 (61.273)
Epoch: [3][9150/14090]	Time 0.746 (0.754)	Data 0.001 (0.001)	Loss 3.0126 (2.9231)	Prec@1 28.906 (31.464)	Prec@5 59.375 (61.274)
Epoch: [3][9160/14090]	Time 0.779 (0.754)	Data 0.001 (0.001)	Loss 2.8271 (2.9231)	Prec@1 29.688 (31.464)	Prec@5 60.938 (61.274)
Epoch: [3][9170/14090]	Time 0.757 (0.754)	Data 0.001 (0.001)	Loss 2.9543 (2.9231)	Prec@1 33.594 (31.464)	Prec@5 59.375 (61.272)
Epoch: [3][9180/14090]	Time 0.746 (0.754)	Data 0.001 (0.001)	Loss 2.8261 (2.9232)	Prec@1 36.719 (31.463)	Prec@5 64.844 (61.271)
Epoch: [3][9190/14090]	Time 0.742 (0.754)	Data 0.001 (0.001)	Loss 2.7108 (2.9231)	Prec@1 36.719 (31.466)	Prec@5 64.844 (61.273)
Epoch: [3][9200/14090]	Time 0.753 (0.754)	Data 0.002 (0.001)	Loss 3.0749 (2.9231)	Prec@1 32.031 (31.467)	Prec@5 57.031 (61.273)
Epoch: [3][9210/14090]	Time 0.748 (0.754)	Data 0.001 (0.001)	Loss 2.8072 (2.9231)	Prec@1 33.594 (31.468)	Prec@5 65.625 (61.274)
Epoch: [3][9220/14090]	Time 0.759 (0.754)	Data 0.001 (0.001)	Loss 2.9224 (2.9230)	Prec@1 32.031 (31.469)	Prec@5 65.625 (61.277)
Epoch: [3][9230/14090]	Time 0.731 (0.754)	Data 0.001 (0.001)	Loss 2.8670 (2.9230)	Prec@1 25.781 (31.469)	Prec@5 63.281 (61.278)
Epoch: [3][9240/14090]	Time 0.742 (0.754)	Data 0.001 (0.001)	Loss 2.9086 (2.9229)	Prec@1 29.688 (31.471)	Prec@5 57.812 (61.279)
Epoch: [3][9250/14090]	Time 0.737 (0.754)	Data 0.001 (0.001)	Loss 3.0053 (2.9229)	Prec@1 28.906 (31.472)	Prec@5 62.500 (61.279)
Epoch: [3][9260/14090]	Time 0.721 (0.754)	Data 0.001 (0.001)	Loss 2.8883 (2.9229)	Prec@1 35.156 (31.471)	Prec@5 61.719 (61.277)
Epoch: [3][9270/14090]	Time 0.774 (0.754)	Data 0.002 (0.001)	Loss 2.9602 (2.9229)	Prec@1 28.906 (31.471)	Prec@5 62.500 (61.278)
Epoch: [3][9280/14090]	Time 0.748 (0.754)	Data 0.001 (0.001)	Loss 2.9870 (2.9229)	Prec@1 25.000 (31.467)	Prec@5 57.031 (61.277)
Epoch: [3][9290/14090]	Time 0.757 (0.754)	Data 0.001 (0.001)	Loss 3.1575 (2.9229)	Prec@1 29.688 (31.470)	Prec@5 53.906 (61.277)
Epoch: [3][9300/14090]	Time 0.754 (0.754)	Data 0.001 (0.001)	Loss 2.8326 (2.9229)	Prec@1 31.250 (31.470)	Prec@5 61.719 (61.278)
Epoch: [3][9310/14090]	Time 0.757 (0.754)	Data 0.001 (0.001)	Loss 3.0610 (2.9230)	Prec@1 25.000 (31.469)	Prec@5 64.062 (61.280)
Epoch: [3][9320/14090]	Time 0.761 (0.754)	Data 0.001 (0.001)	Loss 3.0200 (2.9230)	Prec@1 30.469 (31.469)	Prec@5 57.031 (61.280)
Epoch: [3][9330/14090]	Time 0.735 (0.754)	Data 0.001 (0.001)	Loss 2.9827 (2.9230)	Prec@1 28.906 (31.468)	Prec@5 58.594 (61.281)
Epoch: [3][9340/14090]	Time 0.761 (0.754)	Data 0.002 (0.001)	Loss 3.1085 (2.9230)	Prec@1 30.469 (31.466)	Prec@5 56.250 (61.279)
Epoch: [3][9350/14090]	Time 0.764 (0.754)	Data 0.001 (0.001)	Loss 3.1360 (2.9231)	Prec@1 26.562 (31.464)	Prec@5 49.219 (61.276)
Epoch: [3][9360/14090]	Time 0.741 (0.754)	Data 0.001 (0.001)	Loss 2.9398 (2.9231)	Prec@1 29.688 (31.464)	Prec@5 61.719 (61.275)
Epoch: [3][9370/14090]	Time 0.751 (0.754)	Data 0.001 (0.001)	Loss 2.9930 (2.9231)	Prec@1 32.031 (31.463)	Prec@5 60.156 (61.273)
Epoch: [3][9380/14090]	Time 0.765 (0.754)	Data 0.001 (0.001)	Loss 2.9432 (2.9230)	Prec@1 26.562 (31.465)	Prec@5 66.406 (61.277)
Epoch: [3][9390/14090]	Time 0.776 (0.754)	Data 0.001 (0.001)	Loss 2.6639 (2.9229)	Prec@1 39.844 (31.467)	Prec@5 62.500 (61.281)
Epoch: [3][9400/14090]	Time 0.763 (0.754)	Data 0.001 (0.001)	Loss 2.8982 (2.9229)	Prec@1 29.688 (31.466)	Prec@5 62.500 (61.280)
Epoch: [3][9410/14090]	Time 0.778 (0.754)	Data 0.002 (0.001)	Loss 3.3572 (2.9229)	Prec@1 22.656 (31.466)	Prec@5 53.125 (61.280)
Epoch: [3][9420/14090]	Time 0.750 (0.754)	Data 0.001 (0.001)	Loss 3.0578 (2.9229)	Prec@1 29.688 (31.465)	Prec@5 57.812 (61.279)
Epoch: [3][9430/14090]	Time 0.737 (0.754)	Data 0.001 (0.001)	Loss 2.9349 (2.9229)	Prec@1 31.250 (31.465)	Prec@5 64.062 (61.279)
Epoch: [3][9440/14090]	Time 0.782 (0.754)	Data 0.001 (0.001)	Loss 2.7681 (2.9229)	Prec@1 40.625 (31.467)	Prec@5 66.406 (61.282)
Epoch: [3][9450/14090]	Time 0.764 (0.754)	Data 0.001 (0.001)	Loss 2.7112 (2.9228)	Prec@1 32.031 (31.467)	Prec@5 60.938 (61.284)
Epoch: [3][9460/14090]	Time 0.758 (0.754)	Data 0.001 (0.001)	Loss 3.1401 (2.9228)	Prec@1 29.688 (31.467)	Prec@5 57.031 (61.284)
Epoch: [3][9470/14090]	Time 0.742 (0.754)	Data 0.001 (0.001)	Loss 3.2555 (2.9229)	Prec@1 25.781 (31.466)	Prec@5 53.906 (61.284)
Epoch: [3][9480/14090]	Time 0.759 (0.754)	Data 0.002 (0.001)	Loss 2.7375 (2.9228)	Prec@1 29.688 (31.468)	Prec@5 63.281 (61.285)
Epoch: [3][9490/14090]	Time 0.734 (0.754)	Data 0.001 (0.001)	Loss 2.9980 (2.9228)	Prec@1 31.250 (31.468)	Prec@5 61.719 (61.283)
Epoch: [3][9500/14090]	Time 0.786 (0.754)	Data 0.001 (0.001)	Loss 2.7741 (2.9227)	Prec@1 40.625 (31.470)	Prec@5 64.844 (61.288)
Epoch: [3][9510/14090]	Time 0.746 (0.754)	Data 0.001 (0.001)	Loss 3.0549 (2.9227)	Prec@1 32.031 (31.470)	Prec@5 57.812 (61.288)
Epoch: [3][9520/14090]	Time 0.743 (0.754)	Data 0.001 (0.001)	Loss 2.6956 (2.9227)	Prec@1 37.500 (31.471)	Prec@5 64.062 (61.288)
Epoch: [3][9530/14090]	Time 0.753 (0.754)	Data 0.001 (0.001)	Loss 2.8907 (2.9227)	Prec@1 32.812 (31.470)	Prec@5 64.062 (61.290)
Epoch: [3][9540/14090]	Time 0.777 (0.754)	Data 0.001 (0.001)	Loss 2.9852 (2.9227)	Prec@1 28.125 (31.471)	Prec@5 59.375 (61.290)
Epoch: [3][9550/14090]	Time 0.736 (0.754)	Data 0.002 (0.001)	Loss 3.0930 (2.9227)	Prec@1 26.562 (31.472)	Prec@5 57.812 (61.290)
Epoch: [3][9560/14090]	Time 0.761 (0.754)	Data 0.001 (0.001)	Loss 2.8198 (2.9226)	Prec@1 36.719 (31.472)	Prec@5 60.156 (61.290)
Epoch: [3][9570/14090]	Time 0.741 (0.754)	Data 0.001 (0.001)	Loss 2.8344 (2.9226)	Prec@1 30.469 (31.472)	Prec@5 63.281 (61.291)
Epoch: [3][9580/14090]	Time 0.740 (0.754)	Data 0.001 (0.001)	Loss 3.0504 (2.9227)	Prec@1 28.125 (31.472)	Prec@5 61.719 (61.288)
Epoch: [3][9590/14090]	Time 0.745 (0.754)	Data 0.001 (0.001)	Loss 2.8801 (2.9226)	Prec@1 34.375 (31.474)	Prec@5 59.375 (61.291)
Epoch: [3][9600/14090]	Time 0.782 (0.754)	Data 0.001 (0.001)	Loss 2.8984 (2.9225)	Prec@1 28.125 (31.474)	Prec@5 59.375 (61.292)
Epoch: [3][9610/14090]	Time 0.750 (0.754)	Data 0.001 (0.001)	Loss 2.7475 (2.9225)	Prec@1 35.938 (31.474)	Prec@5 61.719 (61.292)
Epoch: [3][9620/14090]	Time 0.755 (0.754)	Data 0.002 (0.001)	Loss 2.9605 (2.9225)	Prec@1 29.688 (31.474)	Prec@5 62.500 (61.293)
Epoch: [3][9630/14090]	Time 0.738 (0.754)	Data 0.001 (0.001)	Loss 3.3066 (2.9227)	Prec@1 25.000 (31.473)	Prec@5 57.031 (61.289)
Epoch: [3][9640/14090]	Time 0.738 (0.754)	Data 0.001 (0.001)	Loss 2.6906 (2.9226)	Prec@1 33.594 (31.473)	Prec@5 64.062 (61.292)
Epoch: [3][9650/14090]	Time 0.753 (0.754)	Data 0.001 (0.001)	Loss 3.0189 (2.9227)	Prec@1 24.219 (31.471)	Prec@5 59.375 (61.291)
Epoch: [3][9660/14090]	Time 0.761 (0.754)	Data 0.001 (0.001)	Loss 3.1645 (2.9227)	Prec@1 28.125 (31.470)	Prec@5 56.250 (61.288)
Epoch: [3][9670/14090]	Time 0.775 (0.754)	Data 0.001 (0.001)	Loss 2.8398 (2.9228)	Prec@1 32.812 (31.468)	Prec@5 60.938 (61.290)
Epoch: [3][9680/14090]	Time 0.759 (0.754)	Data 0.001 (0.001)	Loss 2.9655 (2.9227)	Prec@1 26.562 (31.469)	Prec@5 59.375 (61.291)
Epoch: [3][9690/14090]	Time 0.781 (0.754)	Data 0.002 (0.001)	Loss 2.8889 (2.9227)	Prec@1 29.688 (31.470)	Prec@5 60.938 (61.291)
Epoch: [3][9700/14090]	Time 0.746 (0.754)	Data 0.001 (0.001)	Loss 2.7143 (2.9226)	Prec@1 33.594 (31.471)	Prec@5 63.281 (61.294)
Epoch: [3][9710/14090]	Time 0.730 (0.754)	Data 0.001 (0.001)	Loss 2.9265 (2.9226)	Prec@1 30.469 (31.470)	Prec@5 62.500 (61.291)
Epoch: [3][9720/14090]	Time 0.742 (0.754)	Data 0.001 (0.001)	Loss 2.8682 (2.9226)	Prec@1 28.906 (31.471)	Prec@5 62.500 (61.293)
Epoch: [3][9730/14090]	Time 0.736 (0.754)	Data 0.001 (0.001)	Loss 3.1518 (2.9226)	Prec@1 26.562 (31.470)	Prec@5 56.250 (61.292)
Epoch: [3][9740/14090]	Time 0.741 (0.754)	Data 0.001 (0.001)	Loss 2.7979 (2.9225)	Prec@1 32.812 (31.470)	Prec@5 63.281 (61.292)
Epoch: [3][9750/14090]	Time 0.736 (0.754)	Data 0.001 (0.001)	Loss 2.7683 (2.9225)	Prec@1 33.594 (31.471)	Prec@5 63.281 (61.293)
Epoch: [3][9760/14090]	Time 0.765 (0.754)	Data 0.002 (0.001)	Loss 3.0777 (2.9226)	Prec@1 32.031 (31.469)	Prec@5 57.031 (61.290)
Epoch: [3][9770/14090]	Time 0.750 (0.754)	Data 0.001 (0.001)	Loss 3.2074 (2.9226)	Prec@1 25.781 (31.467)	Prec@5 53.906 (61.289)
Epoch: [3][9780/14090]	Time 0.745 (0.754)	Data 0.001 (0.001)	Loss 2.6536 (2.9226)	Prec@1 35.156 (31.467)	Prec@5 66.406 (61.290)
Epoch: [3][9790/14090]	Time 0.746 (0.754)	Data 0.001 (0.001)	Loss 2.8249 (2.9226)	Prec@1 35.938 (31.469)	Prec@5 62.500 (61.292)
Epoch: [3][9800/14090]	Time 0.761 (0.754)	Data 0.001 (0.001)	Loss 2.9738 (2.9226)	Prec@1 33.594 (31.469)	Prec@5 64.062 (61.293)
Epoch: [3][9810/14090]	Time 0.751 (0.754)	Data 0.002 (0.001)	Loss 2.7752 (2.9226)	Prec@1 38.281 (31.469)	Prec@5 65.625 (61.295)
Epoch: [3][9820/14090]	Time 0.777 (0.754)	Data 0.001 (0.001)	Loss 2.8516 (2.9226)	Prec@1 34.375 (31.470)	Prec@5 64.062 (61.296)
Epoch: [3][9830/14090]	Time 0.746 (0.754)	Data 0.002 (0.001)	Loss 3.0478 (2.9226)	Prec@1 21.094 (31.469)	Prec@5 57.031 (61.296)
Epoch: [3][9840/14090]	Time 0.741 (0.754)	Data 0.001 (0.001)	Loss 2.9379 (2.9226)	Prec@1 25.781 (31.469)	Prec@5 60.156 (61.297)
Epoch: [3][9850/14090]	Time 0.763 (0.754)	Data 0.001 (0.001)	Loss 2.8658 (2.9227)	Prec@1 32.812 (31.466)	Prec@5 60.938 (61.294)
Epoch: [3][9860/14090]	Time 0.726 (0.754)	Data 0.001 (0.001)	Loss 2.8195 (2.9227)	Prec@1 32.812 (31.466)	Prec@5 59.375 (61.293)
Epoch: [3][9870/14090]	Time 0.747 (0.754)	Data 0.001 (0.001)	Loss 3.0972 (2.9227)	Prec@1 26.562 (31.467)	Prec@5 55.469 (61.293)
Epoch: [3][9880/14090]	Time 0.732 (0.754)	Data 0.001 (0.001)	Loss 2.9330 (2.9226)	Prec@1 33.594 (31.467)	Prec@5 63.281 (61.296)
Epoch: [3][9890/14090]	Time 0.781 (0.754)	Data 0.001 (0.001)	Loss 3.1633 (2.9226)	Prec@1 25.000 (31.467)	Prec@5 55.469 (61.297)
Epoch: [3][9900/14090]	Time 0.764 (0.754)	Data 0.002 (0.001)	Loss 3.1156 (2.9225)	Prec@1 25.781 (31.469)	Prec@5 58.594 (61.300)
Epoch: [3][9910/14090]	Time 0.774 (0.754)	Data 0.001 (0.001)	Loss 2.7580 (2.9224)	Prec@1 31.250 (31.470)	Prec@5 61.719 (61.301)
Epoch: [3][9920/14090]	Time 0.780 (0.754)	Data 0.001 (0.001)	Loss 2.7998 (2.9224)	Prec@1 33.594 (31.471)	Prec@5 62.500 (61.302)
Epoch: [3][9930/14090]	Time 0.782 (0.754)	Data 0.001 (0.001)	Loss 2.8284 (2.9223)	Prec@1 35.938 (31.473)	Prec@5 55.469 (61.303)
Epoch: [3][9940/14090]	Time 0.740 (0.754)	Data 0.001 (0.001)	Loss 3.1079 (2.9224)	Prec@1 35.938 (31.475)	Prec@5 55.469 (61.302)
Epoch: [3][9950/14090]	Time 0.735 (0.754)	Data 0.001 (0.001)	Loss 3.0528 (2.9224)	Prec@1 31.250 (31.474)	Prec@5 57.812 (61.300)
Epoch: [3][9960/14090]	Time 0.754 (0.754)	Data 0.001 (0.001)	Loss 2.9437 (2.9225)	Prec@1 29.688 (31.474)	Prec@5 64.062 (61.301)
Epoch: [3][9970/14090]	Time 0.754 (0.754)	Data 0.002 (0.001)	Loss 2.7196 (2.9224)	Prec@1 33.594 (31.474)	Prec@5 61.719 (61.300)
Epoch: [3][9980/14090]	Time 0.748 (0.754)	Data 0.001 (0.001)	Loss 2.8887 (2.9224)	Prec@1 35.938 (31.476)	Prec@5 64.062 (61.302)
Epoch: [3][9990/14090]	Time 0.730 (0.754)	Data 0.001 (0.001)	Loss 2.8359 (2.9223)	Prec@1 32.031 (31.475)	Prec@5 63.281 (61.303)
Epoch: [3][10000/14090]	Time 0.772 (0.754)	Data 0.001 (0.001)	Loss 2.8691 (2.9222)	Prec@1 37.500 (31.475)	Prec@5 57.812 (61.304)
Epoch: [3][10010/14090]	Time 0.732 (0.754)	Data 0.001 (0.001)	Loss 3.0765 (2.9223)	Prec@1 26.562 (31.473)	Prec@5 57.812 (61.304)
Epoch: [3][10020/14090]	Time 0.774 (0.754)	Data 0.001 (0.001)	Loss 2.8958 (2.9223)	Prec@1 35.156 (31.475)	Prec@5 63.281 (61.304)
Epoch: [3][10030/14090]	Time 0.774 (0.754)	Data 0.001 (0.001)	Loss 2.9068 (2.9223)	Prec@1 30.469 (31.477)	Prec@5 58.594 (61.306)
Epoch: [3][10040/14090]	Time 0.775 (0.754)	Data 0.002 (0.001)	Loss 2.6574 (2.9223)	Prec@1 34.375 (31.477)	Prec@5 70.312 (61.306)
Epoch: [3][10050/14090]	Time 0.786 (0.754)	Data 0.001 (0.001)	Loss 3.1294 (2.9223)	Prec@1 30.469 (31.477)	Prec@5 57.031 (61.306)
Epoch: [3][10060/14090]	Time 0.739 (0.754)	Data 0.001 (0.001)	Loss 2.7658 (2.9224)	Prec@1 33.594 (31.477)	Prec@5 64.062 (61.304)
Epoch: [3][10070/14090]	Time 0.737 (0.754)	Data 0.001 (0.001)	Loss 2.9372 (2.9224)	Prec@1 30.469 (31.477)	Prec@5 57.031 (61.300)
Epoch: [3][10080/14090]	Time 0.766 (0.754)	Data 0.001 (0.001)	Loss 2.7231 (2.9226)	Prec@1 33.594 (31.475)	Prec@5 67.188 (61.297)
Epoch: [3][10090/14090]	Time 0.738 (0.754)	Data 0.001 (0.001)	Loss 2.7387 (2.9225)	Prec@1 39.844 (31.478)	Prec@5 62.500 (61.298)
Epoch: [3][10100/14090]	Time 0.750 (0.754)	Data 0.001 (0.001)	Loss 3.1077 (2.9225)	Prec@1 29.688 (31.478)	Prec@5 50.781 (61.297)
Epoch: [3][10110/14090]	Time 0.760 (0.754)	Data 0.002 (0.001)	Loss 2.7900 (2.9224)	Prec@1 28.906 (31.478)	Prec@5 63.281 (61.297)
Epoch: [3][10120/14090]	Time 0.764 (0.754)	Data 0.001 (0.001)	Loss 2.7773 (2.9224)	Prec@1 35.938 (31.481)	Prec@5 68.750 (61.298)
Epoch: [3][10130/14090]	Time 0.762 (0.754)	Data 0.001 (0.001)	Loss 3.2147 (2.9224)	Prec@1 26.562 (31.482)	Prec@5 58.594 (61.299)
Epoch: [3][10140/14090]	Time 0.740 (0.754)	Data 0.001 (0.001)	Loss 3.0975 (2.9223)	Prec@1 30.469 (31.483)	Prec@5 59.375 (61.300)
Epoch: [3][10150/14090]	Time 0.751 (0.754)	Data 0.001 (0.001)	Loss 3.2468 (2.9223)	Prec@1 27.344 (31.482)	Prec@5 53.125 (61.301)
Epoch: [3][10160/14090]	Time 0.741 (0.754)	Data 0.001 (0.001)	Loss 3.0747 (2.9223)	Prec@1 26.562 (31.483)	Prec@5 60.156 (61.301)
Epoch: [3][10170/14090]	Time 0.749 (0.754)	Data 0.001 (0.001)	Loss 3.1237 (2.9223)	Prec@1 29.688 (31.484)	Prec@5 53.906 (61.301)
Epoch: [3][10180/14090]	Time 0.755 (0.754)	Data 0.002 (0.001)	Loss 2.8126 (2.9222)	Prec@1 33.594 (31.486)	Prec@5 66.406 (61.303)
Epoch: [3][10190/14090]	Time 0.727 (0.754)	Data 0.001 (0.001)	Loss 2.5861 (2.9223)	Prec@1 38.281 (31.483)	Prec@5 65.625 (61.300)
Epoch: [3][10200/14090]	Time 0.737 (0.754)	Data 0.001 (0.001)	Loss 3.0336 (2.9223)	Prec@1 34.375 (31.483)	Prec@5 57.812 (61.298)
Epoch: [3][10210/14090]	Time 0.748 (0.754)	Data 0.001 (0.001)	Loss 2.9553 (2.9223)	Prec@1 32.812 (31.483)	Prec@5 60.156 (61.298)
Epoch: [3][10220/14090]	Time 0.742 (0.754)	Data 0.001 (0.001)	Loss 2.9421 (2.9223)	Prec@1 31.250 (31.483)	Prec@5 63.281 (61.298)
Epoch: [3][10230/14090]	Time 0.755 (0.754)	Data 0.001 (0.001)	Loss 3.3130 (2.9223)	Prec@1 26.562 (31.484)	Prec@5 59.375 (61.300)
Epoch: [3][10240/14090]	Time 0.731 (0.754)	Data 0.001 (0.001)	Loss 2.8501 (2.9223)	Prec@1 28.125 (31.483)	Prec@5 64.062 (61.302)
Epoch: [3][10250/14090]	Time 0.740 (0.754)	Data 0.002 (0.001)	Loss 2.8719 (2.9222)	Prec@1 29.688 (31.484)	Prec@5 58.594 (61.302)
Epoch: [3][10260/14090]	Time 0.725 (0.754)	Data 0.001 (0.001)	Loss 2.8444 (2.9223)	Prec@1 34.375 (31.485)	Prec@5 61.719 (61.302)
Epoch: [3][10270/14090]	Time 0.741 (0.754)	Data 0.001 (0.001)	Loss 2.8612 (2.9222)	Prec@1 32.031 (31.485)	Prec@5 67.188 (61.303)
Epoch: [3][10280/14090]	Time 0.779 (0.754)	Data 0.001 (0.001)	Loss 2.7591 (2.9223)	Prec@1 35.156 (31.485)	Prec@5 66.406 (61.302)
Epoch: [3][10290/14090]	Time 0.743 (0.753)	Data 0.001 (0.001)	Loss 3.2742 (2.9222)	Prec@1 26.562 (31.485)	Prec@5 52.344 (61.303)
Epoch: [3][10300/14090]	Time 0.744 (0.753)	Data 0.001 (0.001)	Loss 2.9042 (2.9222)	Prec@1 38.281 (31.487)	Prec@5 62.500 (61.306)
Epoch: [3][10310/14090]	Time 0.776 (0.753)	Data 0.001 (0.001)	Loss 3.1361 (2.9222)	Prec@1 32.031 (31.488)	Prec@5 59.375 (61.305)
Epoch: [3][10320/14090]	Time 0.739 (0.753)	Data 0.002 (0.001)	Loss 2.6232 (2.9221)	Prec@1 32.812 (31.487)	Prec@5 64.062 (61.303)
Epoch: [3][10330/14090]	Time 0.776 (0.754)	Data 0.001 (0.001)	Loss 2.8984 (2.9221)	Prec@1 28.906 (31.487)	Prec@5 60.938 (61.303)
Epoch: [3][10340/14090]	Time 0.750 (0.753)	Data 0.001 (0.001)	Loss 3.2544 (2.9222)	Prec@1 29.688 (31.486)	Prec@5 55.469 (61.303)
Epoch: [3][10350/14090]	Time 0.749 (0.753)	Data 0.001 (0.001)	Loss 2.6883 (2.9223)	Prec@1 38.281 (31.485)	Prec@5 70.312 (61.303)
Epoch: [3][10360/14090]	Time 0.733 (0.754)	Data 0.001 (0.001)	Loss 3.0092 (2.9223)	Prec@1 27.344 (31.485)	Prec@5 62.500 (61.302)
Epoch: [3][10370/14090]	Time 0.742 (0.754)	Data 0.001 (0.001)	Loss 2.6528 (2.9223)	Prec@1 35.156 (31.484)	Prec@5 65.625 (61.303)
Epoch: [3][10380/14090]	Time 0.758 (0.754)	Data 0.001 (0.001)	Loss 2.6905 (2.9223)	Prec@1 37.500 (31.484)	Prec@5 65.625 (61.303)
Epoch: [3][10390/14090]	Time 0.752 (0.754)	Data 0.002 (0.001)	Loss 2.7395 (2.9222)	Prec@1 31.250 (31.486)	Prec@5 65.625 (61.305)
Epoch: [3][10400/14090]	Time 0.761 (0.754)	Data 0.001 (0.001)	Loss 3.1244 (2.9221)	Prec@1 28.906 (31.486)	Prec@5 55.469 (61.307)
Epoch: [3][10410/14090]	Time 0.772 (0.753)	Data 0.001 (0.001)	Loss 2.9838 (2.9220)	Prec@1 28.906 (31.489)	Prec@5 60.938 (61.308)
Epoch: [3][10420/14090]	Time 0.770 (0.753)	Data 0.001 (0.001)	Loss 2.8258 (2.9221)	Prec@1 29.688 (31.488)	Prec@5 60.156 (61.307)
Epoch: [3][10430/14090]	Time 0.738 (0.753)	Data 0.001 (0.001)	Loss 2.9168 (2.9220)	Prec@1 33.594 (31.489)	Prec@5 60.938 (61.307)
Epoch: [3][10440/14090]	Time 0.750 (0.753)	Data 0.001 (0.001)	Loss 3.0043 (2.9220)	Prec@1 26.562 (31.488)	Prec@5 60.156 (61.307)
Epoch: [3][10450/14090]	Time 0.744 (0.753)	Data 0.001 (0.001)	Loss 2.7637 (2.9220)	Prec@1 30.469 (31.487)	Prec@5 65.625 (61.307)
Epoch: [3][10460/14090]	Time 0.742 (0.753)	Data 0.002 (0.001)	Loss 2.8784 (2.9220)	Prec@1 29.688 (31.488)	Prec@5 64.844 (61.307)
Epoch: [3][10470/14090]	Time 0.766 (0.754)	Data 0.001 (0.001)	Loss 2.9151 (2.9220)	Prec@1 26.562 (31.488)	Prec@5 64.062 (61.308)
Epoch: [3][10480/14090]	Time 0.732 (0.753)	Data 0.001 (0.001)	Loss 2.9367 (2.9219)	Prec@1 27.344 (31.487)	Prec@5 58.594 (61.308)
Epoch: [3][10490/14090]	Time 0.754 (0.753)	Data 0.001 (0.001)	Loss 2.8848 (2.9219)	Prec@1 28.125 (31.489)	Prec@5 63.281 (61.308)
Epoch: [3][10500/14090]	Time 0.743 (0.753)	Data 0.001 (0.001)	Loss 2.8117 (2.9220)	Prec@1 35.156 (31.489)	Prec@5 62.500 (61.306)
Epoch: [3][10510/14090]	Time 0.743 (0.753)	Data 0.001 (0.001)	Loss 2.8312 (2.9219)	Prec@1 30.469 (31.489)	Prec@5 62.500 (61.306)
Epoch: [3][10520/14090]	Time 0.753 (0.753)	Data 0.001 (0.001)	Loss 2.7005 (2.9219)	Prec@1 35.938 (31.490)	Prec@5 67.188 (61.308)
Epoch: [3][10530/14090]	Time 0.747 (0.753)	Data 0.002 (0.001)	Loss 3.1085 (2.9219)	Prec@1 28.125 (31.489)	Prec@5 58.594 (61.308)
Epoch: [3][10540/14090]	Time 0.752 (0.753)	Data 0.001 (0.001)	Loss 2.7011 (2.9219)	Prec@1 35.156 (31.491)	Prec@5 70.312 (61.309)
Epoch: [3][10550/14090]	Time 0.758 (0.753)	Data 0.001 (0.001)	Loss 2.9486 (2.9218)	Prec@1 31.250 (31.492)	Prec@5 57.812 (61.311)
Epoch: [3][10560/14090]	Time 0.730 (0.753)	Data 0.001 (0.001)	Loss 2.9294 (2.9218)	Prec@1 30.469 (31.492)	Prec@5 62.500 (61.311)
Epoch: [3][10570/14090]	Time 0.779 (0.753)	Data 0.001 (0.001)	Loss 2.9287 (2.9217)	Prec@1 32.812 (31.494)	Prec@5 63.281 (61.314)
Epoch: [3][10580/14090]	Time 0.730 (0.753)	Data 0.001 (0.001)	Loss 2.9312 (2.9217)	Prec@1 28.125 (31.494)	Prec@5 62.500 (61.316)
Epoch: [3][10590/14090]	Time 0.755 (0.753)	Data 0.001 (0.001)	Loss 2.7350 (2.9217)	Prec@1 33.594 (31.495)	Prec@5 67.969 (61.315)
Epoch: [3][10600/14090]	Time 0.736 (0.753)	Data 0.002 (0.001)	Loss 2.9547 (2.9217)	Prec@1 31.250 (31.495)	Prec@5 61.719 (61.315)
Epoch: [3][10610/14090]	Time 0.761 (0.753)	Data 0.001 (0.001)	Loss 2.8242 (2.9217)	Prec@1 31.250 (31.495)	Prec@5 65.625 (61.315)
Epoch: [3][10620/14090]	Time 0.768 (0.753)	Data 0.001 (0.001)	Loss 2.9229 (2.9216)	Prec@1 34.375 (31.495)	Prec@5 63.281 (61.317)
Epoch: [3][10630/14090]	Time 0.762 (0.753)	Data 0.001 (0.001)	Loss 2.8558 (2.9216)	Prec@1 32.031 (31.496)	Prec@5 64.844 (61.317)
Epoch: [3][10640/14090]	Time 0.741 (0.753)	Data 0.001 (0.001)	Loss 2.9714 (2.9217)	Prec@1 30.469 (31.494)	Prec@5 59.375 (61.316)
Epoch: [3][10650/14090]	Time 0.739 (0.753)	Data 0.001 (0.001)	Loss 2.9727 (2.9216)	Prec@1 27.344 (31.493)	Prec@5 62.500 (61.318)
Epoch: [3][10660/14090]	Time 0.765 (0.753)	Data 0.001 (0.001)	Loss 2.5684 (2.9216)	Prec@1 39.062 (31.491)	Prec@5 67.969 (61.317)
Epoch: [3][10670/14090]	Time 0.778 (0.753)	Data 0.002 (0.001)	Loss 3.2363 (2.9216)	Prec@1 27.344 (31.490)	Prec@5 53.125 (61.317)
Epoch: [3][10680/14090]	Time 0.767 (0.753)	Data 0.001 (0.001)	Loss 2.7603 (2.9216)	Prec@1 40.625 (31.491)	Prec@5 64.844 (61.318)
Epoch: [3][10690/14090]	Time 0.754 (0.753)	Data 0.001 (0.001)	Loss 2.7988 (2.9216)	Prec@1 33.594 (31.493)	Prec@5 62.500 (61.318)
Epoch: [3][10700/14090]	Time 0.724 (0.753)	Data 0.001 (0.001)	Loss 2.7982 (2.9216)	Prec@1 32.812 (31.494)	Prec@5 67.188 (61.319)
Epoch: [3][10710/14090]	Time 0.737 (0.753)	Data 0.001 (0.001)	Loss 3.0200 (2.9216)	Prec@1 28.125 (31.492)	Prec@5 59.375 (61.318)
Epoch: [3][10720/14090]	Time 0.748 (0.753)	Data 0.001 (0.001)	Loss 2.6673 (2.9215)	Prec@1 28.906 (31.493)	Prec@5 64.844 (61.319)
Epoch: [3][10730/14090]	Time 0.757 (0.753)	Data 0.001 (0.001)	Loss 2.6855 (2.9214)	Prec@1 43.750 (31.497)	Prec@5 67.188 (61.321)
Epoch: [3][10740/14090]	Time 0.771 (0.753)	Data 0.002 (0.001)	Loss 2.8881 (2.9213)	Prec@1 32.031 (31.498)	Prec@5 61.719 (61.323)
Epoch: [3][10750/14090]	Time 0.777 (0.753)	Data 0.001 (0.001)	Loss 2.9305 (2.9213)	Prec@1 32.031 (31.497)	Prec@5 62.500 (61.323)
Epoch: [3][10760/14090]	Time 0.746 (0.753)	Data 0.001 (0.001)	Loss 3.0156 (2.9213)	Prec@1 28.906 (31.497)	Prec@5 60.938 (61.325)
Epoch: [3][10770/14090]	Time 0.728 (0.753)	Data 0.001 (0.001)	Loss 2.6734 (2.9212)	Prec@1 32.812 (31.498)	Prec@5 67.969 (61.326)
Epoch: [3][10780/14090]	Time 0.756 (0.753)	Data 0.001 (0.001)	Loss 2.9283 (2.9212)	Prec@1 24.219 (31.496)	Prec@5 62.500 (61.326)
Epoch: [3][10790/14090]	Time 0.746 (0.753)	Data 0.001 (0.001)	Loss 2.9188 (2.9212)	Prec@1 27.344 (31.497)	Prec@5 62.500 (61.327)
Epoch: [3][10800/14090]	Time 0.758 (0.753)	Data 0.001 (0.001)	Loss 2.7850 (2.9211)	Prec@1 35.938 (31.498)	Prec@5 59.375 (61.329)
Epoch: [3][10810/14090]	Time 0.729 (0.753)	Data 0.002 (0.001)	Loss 2.7470 (2.9211)	Prec@1 33.594 (31.498)	Prec@5 64.062 (61.328)
Epoch: [3][10820/14090]	Time 0.736 (0.753)	Data 0.001 (0.001)	Loss 2.9579 (2.9210)	Prec@1 29.688 (31.499)	Prec@5 59.375 (61.330)
Epoch: [3][10830/14090]	Time 0.770 (0.753)	Data 0.001 (0.001)	Loss 2.9467 (2.9210)	Prec@1 32.812 (31.501)	Prec@5 58.594 (61.331)
Epoch: [3][10840/14090]	Time 0.742 (0.753)	Data 0.001 (0.001)	Loss 3.1091 (2.9210)	Prec@1 22.656 (31.499)	Prec@5 57.812 (61.331)
Epoch: [3][10850/14090]	Time 0.761 (0.753)	Data 0.001 (0.001)	Loss 2.9084 (2.9209)	Prec@1 29.688 (31.499)	Prec@5 62.500 (61.332)
Epoch: [3][10860/14090]	Time 0.738 (0.753)	Data 0.001 (0.001)	Loss 2.9079 (2.9209)	Prec@1 32.812 (31.500)	Prec@5 63.281 (61.332)
Epoch: [3][10870/14090]	Time 0.779 (0.753)	Data 0.001 (0.001)	Loss 2.8225 (2.9209)	Prec@1 29.688 (31.499)	Prec@5 64.062 (61.331)
Epoch: [3][10880/14090]	Time 0.756 (0.753)	Data 0.002 (0.001)	Loss 2.9231 (2.9208)	Prec@1 25.781 (31.498)	Prec@5 61.719 (61.332)
Epoch: [3][10890/14090]	Time 0.766 (0.753)	Data 0.001 (0.001)	Loss 2.9248 (2.9209)	Prec@1 33.594 (31.498)	Prec@5 59.375 (61.330)
Epoch: [3][10900/14090]	Time 0.735 (0.753)	Data 0.001 (0.001)	Loss 2.8639 (2.9208)	Prec@1 31.250 (31.499)	Prec@5 63.281 (61.331)
Epoch: [3][10910/14090]	Time 0.735 (0.753)	Data 0.001 (0.001)	Loss 2.7698 (2.9208)	Prec@1 35.938 (31.500)	Prec@5 61.719 (61.331)
Epoch: [3][10920/14090]	Time 0.776 (0.753)	Data 0.001 (0.001)	Loss 2.6950 (2.9207)	Prec@1 34.375 (31.500)	Prec@5 63.281 (61.332)
Epoch: [3][10930/14090]	Time 0.756 (0.753)	Data 0.001 (0.001)	Loss 2.8435 (2.9207)	Prec@1 32.812 (31.501)	Prec@5 60.938 (61.332)
Epoch: [3][10940/14090]	Time 0.745 (0.753)	Data 0.001 (0.001)	Loss 3.0175 (2.9207)	Prec@1 29.688 (31.501)	Prec@5 59.375 (61.333)
Epoch: [3][10950/14090]	Time 0.764 (0.753)	Data 0.002 (0.001)	Loss 2.9534 (2.9206)	Prec@1 31.250 (31.502)	Prec@5 58.594 (61.333)
Epoch: [3][10960/14090]	Time 0.776 (0.753)	Data 0.001 (0.001)	Loss 2.8510 (2.9206)	Prec@1 32.812 (31.504)	Prec@5 63.281 (61.332)
Epoch: [3][10970/14090]	Time 0.768 (0.753)	Data 0.001 (0.001)	Loss 2.9884 (2.9206)	Prec@1 23.438 (31.504)	Prec@5 58.594 (61.332)
Epoch: [3][10980/14090]	Time 0.739 (0.753)	Data 0.001 (0.001)	Loss 2.8529 (2.9206)	Prec@1 32.812 (31.503)	Prec@5 59.375 (61.330)
Epoch: [3][10990/14090]	Time 0.756 (0.753)	Data 0.001 (0.001)	Loss 2.7746 (2.9205)	Prec@1 35.938 (31.504)	Prec@5 66.406 (61.331)
Epoch: [3][11000/14090]	Time 0.729 (0.753)	Data 0.001 (0.001)	Loss 2.8061 (2.9205)	Prec@1 30.469 (31.504)	Prec@5 68.750 (61.333)
Epoch: [3][11010/14090]	Time 0.778 (0.753)	Data 0.001 (0.001)	Loss 3.0223 (2.9205)	Prec@1 29.688 (31.503)	Prec@5 59.375 (61.332)
Epoch: [3][11020/14090]	Time 0.755 (0.753)	Data 0.002 (0.001)	Loss 2.5664 (2.9205)	Prec@1 34.375 (31.502)	Prec@5 69.531 (61.333)
Epoch: [3][11030/14090]	Time 0.771 (0.753)	Data 0.001 (0.001)	Loss 2.7948 (2.9205)	Prec@1 30.469 (31.502)	Prec@5 64.062 (61.334)
Epoch: [3][11040/14090]	Time 0.744 (0.753)	Data 0.001 (0.001)	Loss 3.1374 (2.9204)	Prec@1 28.125 (31.502)	Prec@5 58.594 (61.335)
Epoch: [3][11050/14090]	Time 0.747 (0.753)	Data 0.001 (0.001)	Loss 2.8101 (2.9204)	Prec@1 33.594 (31.503)	Prec@5 64.062 (61.336)
Epoch: [3][11060/14090]	Time 0.772 (0.753)	Data 0.001 (0.001)	Loss 2.7696 (2.9204)	Prec@1 35.938 (31.504)	Prec@5 64.062 (61.335)
Epoch: [3][11070/14090]	Time 0.733 (0.753)	Data 0.001 (0.001)	Loss 3.0667 (2.9204)	Prec@1 26.562 (31.503)	Prec@5 57.812 (61.334)
Epoch: [3][11080/14090]	Time 0.751 (0.753)	Data 0.001 (0.001)	Loss 3.1057 (2.9203)	Prec@1 25.000 (31.505)	Prec@5 57.812 (61.336)
Epoch: [3][11090/14090]	Time 0.787 (0.753)	Data 0.002 (0.001)	Loss 2.8408 (2.9203)	Prec@1 32.812 (31.506)	Prec@5 64.062 (61.337)
Epoch: [3][11100/14090]	Time 0.734 (0.753)	Data 0.001 (0.001)	Loss 3.1459 (2.9204)	Prec@1 25.000 (31.504)	Prec@5 57.812 (61.336)
Epoch: [3][11110/14090]	Time 0.746 (0.753)	Data 0.001 (0.001)	Loss 3.0351 (2.9205)	Prec@1 27.344 (31.503)	Prec@5 62.500 (61.334)
Epoch: [3][11120/14090]	Time 0.761 (0.753)	Data 0.001 (0.001)	Loss 2.8988 (2.9203)	Prec@1 31.250 (31.504)	Prec@5 61.719 (61.337)
Epoch: [3][11130/14090]	Time 0.773 (0.753)	Data 0.001 (0.001)	Loss 2.9324 (2.9203)	Prec@1 35.938 (31.505)	Prec@5 60.938 (61.336)
Epoch: [3][11140/14090]	Time 0.750 (0.753)	Data 0.001 (0.001)	Loss 3.0204 (2.9202)	Prec@1 32.812 (31.507)	Prec@5 57.812 (61.337)
Epoch: [3][11150/14090]	Time 0.749 (0.753)	Data 0.001 (0.001)	Loss 3.1155 (2.9203)	Prec@1 22.656 (31.505)	Prec@5 56.250 (61.335)
Epoch: [3][11160/14090]	Time 0.768 (0.753)	Data 0.002 (0.001)	Loss 2.9521 (2.9202)	Prec@1 29.688 (31.506)	Prec@5 62.500 (61.337)
Epoch: [3][11170/14090]	Time 0.771 (0.753)	Data 0.001 (0.001)	Loss 2.9273 (2.9202)	Prec@1 31.250 (31.506)	Prec@5 58.594 (61.337)
Epoch: [3][11180/14090]	Time 0.790 (0.753)	Data 0.001 (0.001)	Loss 2.9132 (2.9203)	Prec@1 30.469 (31.506)	Prec@5 59.375 (61.334)
Epoch: [3][11190/14090]	Time 0.736 (0.753)	Data 0.001 (0.001)	Loss 3.2842 (2.9202)	Prec@1 18.750 (31.506)	Prec@5 53.906 (61.335)
Epoch: [3][11200/14090]	Time 0.760 (0.753)	Data 0.001 (0.001)	Loss 3.0240 (2.9203)	Prec@1 37.500 (31.505)	Prec@5 58.594 (61.334)
Epoch: [3][11210/14090]	Time 0.743 (0.753)	Data 0.001 (0.001)	Loss 2.9029 (2.9202)	Prec@1 32.812 (31.506)	Prec@5 55.469 (61.334)
Epoch: [3][11220/14090]	Time 0.763 (0.753)	Data 0.001 (0.001)	Loss 2.6017 (2.9201)	Prec@1 32.812 (31.507)	Prec@5 71.094 (61.335)
Epoch: [3][11230/14090]	Time 0.736 (0.753)	Data 0.002 (0.001)	Loss 2.7297 (2.9201)	Prec@1 32.812 (31.508)	Prec@5 64.844 (61.336)
Epoch: [3][11240/14090]	Time 0.751 (0.753)	Data 0.001 (0.001)	Loss 3.0915 (2.9201)	Prec@1 27.344 (31.508)	Prec@5 53.906 (61.336)
Epoch: [3][11250/14090]	Time 0.741 (0.753)	Data 0.001 (0.001)	Loss 2.9102 (2.9201)	Prec@1 30.469 (31.508)	Prec@5 57.812 (61.335)
Epoch: [3][11260/14090]	Time 0.744 (0.753)	Data 0.001 (0.001)	Loss 3.1624 (2.9201)	Prec@1 32.031 (31.509)	Prec@5 54.688 (61.334)
Epoch: [3][11270/14090]	Time 0.761 (0.753)	Data 0.001 (0.001)	Loss 2.8570 (2.9201)	Prec@1 34.375 (31.510)	Prec@5 59.375 (61.336)
Epoch: [3][11280/14090]	Time 0.754 (0.753)	Data 0.001 (0.001)	Loss 2.9484 (2.9201)	Prec@1 26.562 (31.508)	Prec@5 58.594 (61.334)
Epoch: [3][11290/14090]	Time 0.769 (0.753)	Data 0.001 (0.001)	Loss 2.7251 (2.9201)	Prec@1 30.469 (31.509)	Prec@5 66.406 (61.335)
Epoch: [3][11300/14090]	Time 0.776 (0.753)	Data 0.002 (0.001)	Loss 2.6891 (2.9201)	Prec@1 33.594 (31.509)	Prec@5 60.938 (61.335)
Epoch: [3][11310/14090]	Time 0.765 (0.753)	Data 0.001 (0.001)	Loss 3.1006 (2.9201)	Prec@1 28.125 (31.508)	Prec@5 55.469 (61.333)
Epoch: [3][11320/14090]	Time 0.740 (0.753)	Data 0.001 (0.001)	Loss 3.0296 (2.9201)	Prec@1 26.562 (31.506)	Prec@5 59.375 (61.334)
Epoch: [3][11330/14090]	Time 0.751 (0.753)	Data 0.001 (0.001)	Loss 3.2809 (2.9202)	Prec@1 25.000 (31.505)	Prec@5 56.250 (61.332)
Epoch: [3][11340/14090]	Time 0.730 (0.753)	Data 0.001 (0.001)	Loss 2.7321 (2.9202)	Prec@1 26.562 (31.504)	Prec@5 67.188 (61.333)
Epoch: [3][11350/14090]	Time 0.748 (0.753)	Data 0.001 (0.001)	Loss 2.8123 (2.9202)	Prec@1 34.375 (31.504)	Prec@5 61.719 (61.333)
Epoch: [3][11360/14090]	Time 0.736 (0.753)	Data 0.001 (0.001)	Loss 2.5318 (2.9201)	Prec@1 33.594 (31.506)	Prec@5 68.750 (61.335)
Epoch: [3][11370/14090]	Time 0.745 (0.753)	Data 0.002 (0.001)	Loss 2.8135 (2.9202)	Prec@1 35.156 (31.507)	Prec@5 59.375 (61.334)
Epoch: [3][11380/14090]	Time 0.768 (0.753)	Data 0.001 (0.001)	Loss 3.0072 (2.9202)	Prec@1 32.031 (31.508)	Prec@5 60.938 (61.335)
Epoch: [3][11390/14090]	Time 0.774 (0.753)	Data 0.001 (0.001)	Loss 3.0266 (2.9202)	Prec@1 25.781 (31.507)	Prec@5 58.594 (61.334)
Epoch: [3][11400/14090]	Time 0.747 (0.753)	Data 0.001 (0.001)	Loss 3.0863 (2.9202)	Prec@1 29.688 (31.507)	Prec@5 57.031 (61.335)
Epoch: [3][11410/14090]	Time 0.749 (0.753)	Data 0.001 (0.001)	Loss 2.9005 (2.9201)	Prec@1 31.250 (31.507)	Prec@5 64.062 (61.337)
Epoch: [3][11420/14090]	Time 0.749 (0.753)	Data 0.001 (0.001)	Loss 3.1027 (2.9202)	Prec@1 28.125 (31.505)	Prec@5 60.938 (61.337)
Epoch: [3][11430/14090]	Time 0.790 (0.753)	Data 0.001 (0.001)	Loss 2.7168 (2.9200)	Prec@1 38.281 (31.507)	Prec@5 68.750 (61.339)
Epoch: [3][11440/14090]	Time 0.772 (0.753)	Data 0.002 (0.001)	Loss 2.7668 (2.9200)	Prec@1 35.938 (31.509)	Prec@5 67.969 (61.339)
Epoch: [3][11450/14090]	Time 0.780 (0.753)	Data 0.001 (0.001)	Loss 3.2689 (2.9200)	Prec@1 28.125 (31.510)	Prec@5 51.562 (61.340)
Epoch: [3][11460/14090]	Time 0.773 (0.753)	Data 0.001 (0.001)	Loss 2.5678 (2.9199)	Prec@1 35.156 (31.511)	Prec@5 67.188 (61.340)
Epoch: [3][11470/14090]	Time 0.742 (0.753)	Data 0.001 (0.001)	Loss 2.5575 (2.9199)	Prec@1 43.750 (31.513)	Prec@5 64.062 (61.339)
Epoch: [3][11480/14090]	Time 0.732 (0.753)	Data 0.001 (0.001)	Loss 2.8367 (2.9199)	Prec@1 36.719 (31.514)	Prec@5 65.625 (61.339)
Epoch: [3][11490/14090]	Time 0.749 (0.753)	Data 0.001 (0.001)	Loss 3.0268 (2.9199)	Prec@1 30.469 (31.515)	Prec@5 57.031 (61.338)
Epoch: [3][11500/14090]	Time 0.729 (0.753)	Data 0.001 (0.001)	Loss 3.0319 (2.9199)	Prec@1 28.906 (31.514)	Prec@5 55.469 (61.338)
Epoch: [3][11510/14090]	Time 0.738 (0.753)	Data 0.002 (0.001)	Loss 2.6567 (2.9199)	Prec@1 31.250 (31.514)	Prec@5 68.750 (61.337)
Epoch: [3][11520/14090]	Time 0.741 (0.753)	Data 0.001 (0.001)	Loss 3.0709 (2.9199)	Prec@1 27.344 (31.515)	Prec@5 60.938 (61.340)
Epoch: [3][11530/14090]	Time 0.744 (0.753)	Data 0.001 (0.001)	Loss 2.9173 (2.9199)	Prec@1 28.906 (31.513)	Prec@5 60.156 (61.339)
Epoch: [3][11540/14090]	Time 0.736 (0.753)	Data 0.001 (0.001)	Loss 2.9657 (2.9199)	Prec@1 32.812 (31.515)	Prec@5 62.500 (61.342)
Epoch: [3][11550/14090]	Time 0.779 (0.753)	Data 0.001 (0.001)	Loss 3.1835 (2.9199)	Prec@1 23.438 (31.514)	Prec@5 59.375 (61.342)
Epoch: [3][11560/14090]	Time 0.744 (0.753)	Data 0.001 (0.001)	Loss 2.7576 (2.9199)	Prec@1 29.688 (31.514)	Prec@5 60.938 (61.342)
Epoch: [3][11570/14090]	Time 0.763 (0.753)	Data 0.001 (0.001)	Loss 3.3163 (2.9199)	Prec@1 20.312 (31.514)	Prec@5 54.688 (61.341)
Epoch: [3][11580/14090]	Time 0.756 (0.753)	Data 0.002 (0.001)	Loss 2.7927 (2.9199)	Prec@1 35.156 (31.514)	Prec@5 64.062 (61.340)
Epoch: [3][11590/14090]	Time 0.744 (0.753)	Data 0.001 (0.001)	Loss 2.8467 (2.9199)	Prec@1 27.344 (31.515)	Prec@5 60.156 (61.342)
Epoch: [3][11600/14090]	Time 0.726 (0.753)	Data 0.001 (0.001)	Loss 2.8974 (2.9198)	Prec@1 32.812 (31.516)	Prec@5 61.719 (61.343)
Epoch: [3][11610/14090]	Time 0.760 (0.753)	Data 0.001 (0.001)	Loss 3.0533 (2.9198)	Prec@1 26.562 (31.517)	Prec@5 60.938 (61.344)
Epoch: [3][11620/14090]	Time 0.744 (0.753)	Data 0.001 (0.001)	Loss 2.6792 (2.9198)	Prec@1 32.031 (31.516)	Prec@5 69.531 (61.343)
Epoch: [3][11630/14090]	Time 0.750 (0.753)	Data 0.001 (0.001)	Loss 2.9211 (2.9198)	Prec@1 32.031 (31.516)	Prec@5 59.375 (61.342)
Epoch: [3][11640/14090]	Time 0.776 (0.753)	Data 0.001 (0.001)	Loss 2.5368 (2.9198)	Prec@1 38.281 (31.518)	Prec@5 70.312 (61.343)
Epoch: [3][11650/14090]	Time 0.775 (0.753)	Data 0.003 (0.001)	Loss 2.7534 (2.9197)	Prec@1 39.844 (31.521)	Prec@5 64.844 (61.345)
Epoch: [3][11660/14090]	Time 0.763 (0.753)	Data 0.001 (0.001)	Loss 2.8147 (2.9196)	Prec@1 35.156 (31.523)	Prec@5 62.500 (61.347)
Epoch: [3][11670/14090]	Time 0.774 (0.753)	Data 0.001 (0.001)	Loss 2.9590 (2.9196)	Prec@1 35.156 (31.525)	Prec@5 57.812 (61.347)
Epoch: [3][11680/14090]	Time 0.771 (0.753)	Data 0.001 (0.001)	Loss 2.8330 (2.9196)	Prec@1 34.375 (31.526)	Prec@5 61.719 (61.348)
Epoch: [3][11690/14090]	Time 0.754 (0.753)	Data 0.001 (0.001)	Loss 3.0413 (2.9196)	Prec@1 26.562 (31.527)	Prec@5 57.812 (61.347)
Epoch: [3][11700/14090]	Time 0.749 (0.753)	Data 0.001 (0.001)	Loss 2.9056 (2.9195)	Prec@1 33.594 (31.530)	Prec@5 60.938 (61.349)
Epoch: [3][11710/14090]	Time 0.778 (0.753)	Data 0.001 (0.001)	Loss 2.9994 (2.9194)	Prec@1 26.562 (31.530)	Prec@5 54.688 (61.349)
Epoch: [3][11720/14090]	Time 0.776 (0.753)	Data 0.002 (0.001)	Loss 2.8104 (2.9193)	Prec@1 32.812 (31.531)	Prec@5 63.281 (61.351)
Epoch: [3][11730/14090]	Time 0.756 (0.753)	Data 0.001 (0.001)	Loss 3.1455 (2.9193)	Prec@1 32.812 (31.532)	Prec@5 56.250 (61.352)
Epoch: [3][11740/14090]	Time 0.756 (0.753)	Data 0.001 (0.001)	Loss 3.0185 (2.9193)	Prec@1 30.469 (31.532)	Prec@5 60.938 (61.351)
Epoch: [3][11750/14090]	Time 0.769 (0.753)	Data 0.001 (0.001)	Loss 2.9567 (2.9193)	Prec@1 27.344 (31.532)	Prec@5 54.688 (61.351)
Epoch: [3][11760/14090]	Time 0.754 (0.753)	Data 0.001 (0.001)	Loss 2.9544 (2.9193)	Prec@1 31.250 (31.533)	Prec@5 62.500 (61.352)
Epoch: [3][11770/14090]	Time 0.764 (0.753)	Data 0.001 (0.001)	Loss 2.8928 (2.9193)	Prec@1 31.250 (31.532)	Prec@5 65.625 (61.352)
Epoch: [3][11780/14090]	Time 0.731 (0.753)	Data 0.001 (0.001)	Loss 2.6939 (2.9193)	Prec@1 36.719 (31.533)	Prec@5 67.969 (61.352)
Epoch: [3][11790/14090]	Time 0.773 (0.753)	Data 0.002 (0.001)	Loss 3.1763 (2.9194)	Prec@1 30.469 (31.531)	Prec@5 50.000 (61.350)
Epoch: [3][11800/14090]	Time 0.766 (0.753)	Data 0.001 (0.001)	Loss 3.2558 (2.9194)	Prec@1 23.438 (31.530)	Prec@5 53.125 (61.349)
Epoch: [3][11810/14090]	Time 0.790 (0.753)	Data 0.001 (0.001)	Loss 3.1664 (2.9194)	Prec@1 31.250 (31.530)	Prec@5 58.594 (61.349)
Epoch: [3][11820/14090]	Time 0.759 (0.753)	Data 0.001 (0.001)	Loss 3.0798 (2.9194)	Prec@1 32.812 (31.530)	Prec@5 60.156 (61.349)
Epoch: [3][11830/14090]	Time 0.726 (0.753)	Data 0.001 (0.001)	Loss 2.8175 (2.9194)	Prec@1 34.375 (31.531)	Prec@5 60.938 (61.349)
Epoch: [3][11840/14090]	Time 0.738 (0.753)	Data 0.001 (0.001)	Loss 3.0531 (2.9194)	Prec@1 28.906 (31.533)	Prec@5 57.812 (61.349)
Epoch: [3][11850/14090]	Time 0.758 (0.753)	Data 0.001 (0.001)	Loss 2.5643 (2.9194)	Prec@1 34.375 (31.532)	Prec@5 71.094 (61.349)
Epoch: [3][11860/14090]	Time 0.755 (0.753)	Data 0.002 (0.001)	Loss 2.5752 (2.9194)	Prec@1 32.031 (31.532)	Prec@5 68.750 (61.351)
Epoch: [3][11870/14090]	Time 0.757 (0.753)	Data 0.001 (0.001)	Loss 2.7627 (2.9194)	Prec@1 33.594 (31.533)	Prec@5 68.750 (61.352)
Epoch: [3][11880/14090]	Time 0.744 (0.753)	Data 0.001 (0.001)	Loss 3.1742 (2.9194)	Prec@1 23.438 (31.532)	Prec@5 60.156 (61.351)
Epoch: [3][11890/14090]	Time 0.747 (0.753)	Data 0.001 (0.001)	Loss 2.7478 (2.9194)	Prec@1 33.594 (31.532)	Prec@5 63.281 (61.353)
Epoch: [3][11900/14090]	Time 0.735 (0.753)	Data 0.001 (0.001)	Loss 2.8119 (2.9194)	Prec@1 28.125 (31.531)	Prec@5 64.062 (61.352)
Epoch: [3][11910/14090]	Time 0.741 (0.753)	Data 0.001 (0.001)	Loss 3.0947 (2.9194)	Prec@1 31.250 (31.534)	Prec@5 60.156 (61.354)
Epoch: [3][11920/14090]	Time 0.766 (0.753)	Data 0.001 (0.001)	Loss 3.0982 (2.9193)	Prec@1 28.906 (31.534)	Prec@5 54.688 (61.352)
Epoch: [3][11930/14090]	Time 0.774 (0.753)	Data 0.002 (0.001)	Loss 2.6920 (2.9194)	Prec@1 41.406 (31.535)	Prec@5 69.531 (61.352)
Epoch: [3][11940/14090]	Time 0.762 (0.753)	Data 0.001 (0.001)	Loss 2.9115 (2.9193)	Prec@1 31.250 (31.536)	Prec@5 64.844 (61.352)
Epoch: [3][11950/14090]	Time 0.740 (0.753)	Data 0.001 (0.001)	Loss 3.1049 (2.9193)	Prec@1 25.781 (31.537)	Prec@5 59.375 (61.352)
Epoch: [3][11960/14090]	Time 0.757 (0.753)	Data 0.001 (0.001)	Loss 3.1603 (2.9194)	Prec@1 21.875 (31.535)	Prec@5 54.688 (61.351)
Epoch: [3][11970/14090]	Time 0.743 (0.753)	Data 0.001 (0.001)	Loss 2.7017 (2.9193)	Prec@1 36.719 (31.534)	Prec@5 62.500 (61.351)
Epoch: [3][11980/14090]	Time 0.770 (0.753)	Data 0.001 (0.001)	Loss 2.7689 (2.9193)	Prec@1 35.156 (31.535)	Prec@5 67.969 (61.351)
Epoch: [3][11990/14090]	Time 0.756 (0.753)	Data 0.001 (0.001)	Loss 3.0138 (2.9192)	Prec@1 28.906 (31.538)	Prec@5 62.500 (61.354)
Epoch: [3][12000/14090]	Time 0.726 (0.753)	Data 0.002 (0.001)	Loss 3.1399 (2.9192)	Prec@1 23.438 (31.537)	Prec@5 57.031 (61.353)
Epoch: [3][12010/14090]	Time 0.746 (0.753)	Data 0.001 (0.001)	Loss 2.7838 (2.9192)	Prec@1 32.031 (31.538)	Prec@5 64.844 (61.353)
Epoch: [3][12020/14090]	Time 0.733 (0.753)	Data 0.001 (0.001)	Loss 3.1552 (2.9193)	Prec@1 27.344 (31.536)	Prec@5 58.594 (61.351)
Epoch: [3][12030/14090]	Time 0.747 (0.753)	Data 0.001 (0.001)	Loss 3.0481 (2.9192)	Prec@1 37.500 (31.537)	Prec@5 58.594 (61.353)
Epoch: [3][12040/14090]	Time 0.747 (0.753)	Data 0.001 (0.001)	Loss 3.3229 (2.9192)	Prec@1 24.219 (31.536)	Prec@5 53.906 (61.354)
Epoch: [3][12050/14090]	Time 0.748 (0.753)	Data 0.001 (0.001)	Loss 3.0102 (2.9192)	Prec@1 28.906 (31.536)	Prec@5 58.594 (61.355)
Epoch: [3][12060/14090]	Time 0.763 (0.753)	Data 0.001 (0.001)	Loss 3.0338 (2.9192)	Prec@1 31.250 (31.536)	Prec@5 54.688 (61.355)
Epoch: [3][12070/14090]	Time 0.754 (0.753)	Data 0.002 (0.001)	Loss 2.6359 (2.9192)	Prec@1 40.625 (31.539)	Prec@5 65.625 (61.355)
Epoch: [3][12080/14090]	Time 0.760 (0.753)	Data 0.001 (0.001)	Loss 3.0791 (2.9191)	Prec@1 27.344 (31.539)	Prec@5 58.594 (61.356)
Epoch: [3][12090/14090]	Time 0.728 (0.753)	Data 0.001 (0.001)	Loss 2.7367 (2.9191)	Prec@1 39.062 (31.540)	Prec@5 66.406 (61.358)
Epoch: [3][12100/14090]	Time 0.783 (0.753)	Data 0.001 (0.001)	Loss 2.9263 (2.9191)	Prec@1 28.906 (31.539)	Prec@5 58.594 (61.356)
Epoch: [3][12110/14090]	Time 0.751 (0.753)	Data 0.001 (0.001)	Loss 2.7849 (2.9190)	Prec@1 34.375 (31.541)	Prec@5 66.406 (61.359)
Epoch: [3][12120/14090]	Time 0.739 (0.753)	Data 0.001 (0.001)	Loss 2.8528 (2.9190)	Prec@1 30.469 (31.540)	Prec@5 67.969 (61.359)
Epoch: [3][12130/14090]	Time 0.770 (0.753)	Data 0.001 (0.001)	Loss 2.7051 (2.9189)	Prec@1 38.281 (31.539)	Prec@5 61.719 (61.359)
Epoch: [3][12140/14090]	Time 0.754 (0.753)	Data 0.002 (0.001)	Loss 2.5071 (2.9189)	Prec@1 39.062 (31.541)	Prec@5 67.969 (61.359)
Epoch: [3][12150/14090]	Time 0.727 (0.753)	Data 0.001 (0.001)	Loss 2.6526 (2.9188)	Prec@1 31.250 (31.540)	Prec@5 62.500 (61.360)
Epoch: [3][12160/14090]	Time 0.766 (0.753)	Data 0.001 (0.001)	Loss 2.5891 (2.9188)	Prec@1 32.031 (31.540)	Prec@5 69.531 (61.361)
Epoch: [3][12170/14090]	Time 0.736 (0.753)	Data 0.001 (0.001)	Loss 3.3492 (2.9189)	Prec@1 24.219 (31.540)	Prec@5 53.906 (61.359)
Epoch: [3][12180/14090]	Time 0.745 (0.753)	Data 0.001 (0.001)	Loss 3.1799 (2.9190)	Prec@1 21.875 (31.538)	Prec@5 51.562 (61.357)
Epoch: [3][12190/14090]	Time 0.739 (0.753)	Data 0.001 (0.001)	Loss 2.7046 (2.9189)	Prec@1 38.281 (31.541)	Prec@5 64.062 (61.359)
Epoch: [3][12200/14090]	Time 0.760 (0.753)	Data 0.001 (0.001)	Loss 2.9208 (2.9189)	Prec@1 29.688 (31.542)	Prec@5 60.938 (61.360)
Epoch: [3][12210/14090]	Time 0.748 (0.753)	Data 0.002 (0.001)	Loss 2.9538 (2.9188)	Prec@1 32.031 (31.543)	Prec@5 59.375 (61.360)
Epoch: [3][12220/14090]	Time 0.784 (0.753)	Data 0.001 (0.001)	Loss 2.6334 (2.9187)	Prec@1 36.719 (31.543)	Prec@5 63.281 (61.361)
Epoch: [3][12230/14090]	Time 0.789 (0.753)	Data 0.001 (0.001)	Loss 2.8292 (2.9187)	Prec@1 31.250 (31.543)	Prec@5 63.281 (61.360)
Epoch: [3][12240/14090]	Time 0.775 (0.753)	Data 0.001 (0.001)	Loss 2.9014 (2.9187)	Prec@1 32.031 (31.543)	Prec@5 60.938 (61.361)
Epoch: [3][12250/14090]	Time 0.739 (0.753)	Data 0.001 (0.001)	Loss 2.8117 (2.9187)	Prec@1 37.500 (31.544)	Prec@5 60.156 (61.362)
Epoch: [3][12260/14090]	Time 0.742 (0.753)	Data 0.001 (0.001)	Loss 2.6727 (2.9186)	Prec@1 33.594 (31.546)	Prec@5 67.969 (61.364)
Epoch: [3][12270/14090]	Time 0.743 (0.753)	Data 0.001 (0.001)	Loss 2.8003 (2.9186)	Prec@1 34.375 (31.547)	Prec@5 66.406 (61.366)
Epoch: [3][12280/14090]	Time 0.757 (0.753)	Data 0.002 (0.001)	Loss 2.8756 (2.9186)	Prec@1 32.031 (31.547)	Prec@5 65.625 (61.366)
Epoch: [3][12290/14090]	Time 0.796 (0.753)	Data 0.001 (0.001)	Loss 2.9548 (2.9186)	Prec@1 29.688 (31.548)	Prec@5 62.500 (61.367)
Epoch: [3][12300/14090]	Time 0.760 (0.753)	Data 0.001 (0.001)	Loss 2.5877 (2.9186)	Prec@1 33.594 (31.547)	Prec@5 70.312 (61.367)
Epoch: [3][12310/14090]	Time 0.736 (0.753)	Data 0.001 (0.001)	Loss 2.7416 (2.9185)	Prec@1 24.219 (31.549)	Prec@5 66.406 (61.368)
Epoch: [3][12320/14090]	Time 0.728 (0.753)	Data 0.001 (0.001)	Loss 2.6611 (2.9185)	Prec@1 39.062 (31.549)	Prec@5 68.750 (61.368)
Epoch: [3][12330/14090]	Time 0.749 (0.753)	Data 0.001 (0.001)	Loss 2.7819 (2.9185)	Prec@1 35.938 (31.550)	Prec@5 65.625 (61.371)
Epoch: [3][12340/14090]	Time 0.742 (0.753)	Data 0.001 (0.001)	Loss 2.9026 (2.9185)	Prec@1 32.812 (31.549)	Prec@5 67.188 (61.370)
Epoch: [3][12350/14090]	Time 0.792 (0.753)	Data 0.002 (0.001)	Loss 2.8978 (2.9186)	Prec@1 30.469 (31.549)	Prec@5 63.281 (61.369)
Epoch: [3][12360/14090]	Time 0.752 (0.753)	Data 0.001 (0.001)	Loss 2.8042 (2.9186)	Prec@1 37.500 (31.549)	Prec@5 67.188 (61.369)
Epoch: [3][12370/14090]	Time 0.757 (0.753)	Data 0.001 (0.001)	Loss 3.0942 (2.9186)	Prec@1 27.344 (31.547)	Prec@5 60.156 (61.368)
Epoch: [3][12380/14090]	Time 0.747 (0.753)	Data 0.001 (0.001)	Loss 2.7188 (2.9187)	Prec@1 33.594 (31.546)	Prec@5 64.062 (61.368)
Epoch: [3][12390/14090]	Time 0.733 (0.753)	Data 0.001 (0.001)	Loss 2.8772 (2.9186)	Prec@1 32.031 (31.548)	Prec@5 64.844 (61.369)
Epoch: [3][12400/14090]	Time 0.754 (0.753)	Data 0.001 (0.001)	Loss 2.9309 (2.9186)	Prec@1 37.500 (31.550)	Prec@5 64.844 (61.370)
Epoch: [3][12410/14090]	Time 0.757 (0.753)	Data 0.001 (0.001)	Loss 3.3077 (2.9185)	Prec@1 26.562 (31.551)	Prec@5 52.344 (61.373)
Epoch: [3][12420/14090]	Time 0.788 (0.753)	Data 0.002 (0.001)	Loss 2.8105 (2.9185)	Prec@1 35.156 (31.553)	Prec@5 59.375 (61.373)
Epoch: [3][12430/14090]	Time 0.725 (0.753)	Data 0.001 (0.001)	Loss 3.2404 (2.9185)	Prec@1 24.219 (31.551)	Prec@5 53.906 (61.372)
Epoch: [3][12440/14090]	Time 0.770 (0.753)	Data 0.001 (0.001)	Loss 2.7740 (2.9184)	Prec@1 37.500 (31.554)	Prec@5 62.500 (61.373)
Epoch: [3][12450/14090]	Time 0.731 (0.753)	Data 0.001 (0.001)	Loss 2.8778 (2.9183)	Prec@1 35.156 (31.555)	Prec@5 66.406 (61.374)
Epoch: [3][12460/14090]	Time 0.728 (0.753)	Data 0.001 (0.001)	Loss 3.2311 (2.9184)	Prec@1 26.562 (31.556)	Prec@5 54.688 (61.374)
Epoch: [3][12470/14090]	Time 0.759 (0.753)	Data 0.001 (0.001)	Loss 3.0667 (2.9183)	Prec@1 28.906 (31.557)	Prec@5 59.375 (61.377)
Epoch: [3][12480/14090]	Time 0.768 (0.753)	Data 0.001 (0.001)	Loss 3.2282 (2.9183)	Prec@1 25.000 (31.557)	Prec@5 50.000 (61.376)
Epoch: [3][12490/14090]	Time 0.743 (0.753)	Data 0.002 (0.001)	Loss 2.4343 (2.9182)	Prec@1 39.062 (31.558)	Prec@5 74.219 (61.377)
Epoch: [3][12500/14090]	Time 0.727 (0.753)	Data 0.001 (0.001)	Loss 2.6324 (2.9182)	Prec@1 35.156 (31.559)	Prec@5 65.625 (61.378)
Epoch: [3][12510/14090]	Time 0.776 (0.753)	Data 0.001 (0.001)	Loss 2.9628 (2.9182)	Prec@1 31.250 (31.558)	Prec@5 57.031 (61.377)
Epoch: [3][12520/14090]	Time 0.733 (0.753)	Data 0.001 (0.001)	Loss 3.1418 (2.9182)	Prec@1 24.219 (31.558)	Prec@5 59.375 (61.379)
Epoch: [3][12530/14090]	Time 0.735 (0.753)	Data 0.001 (0.001)	Loss 2.8678 (2.9181)	Prec@1 34.375 (31.559)	Prec@5 61.719 (61.379)
Epoch: [3][12540/14090]	Time 0.787 (0.753)	Data 0.001 (0.001)	Loss 2.9813 (2.9182)	Prec@1 35.156 (31.557)	Prec@5 63.281 (61.378)
Epoch: [3][12550/14090]	Time 0.757 (0.753)	Data 0.001 (0.001)	Loss 2.9629 (2.9182)	Prec@1 28.125 (31.557)	Prec@5 59.375 (61.378)
Epoch: [3][12560/14090]	Time 0.744 (0.753)	Data 0.002 (0.001)	Loss 3.0430 (2.9183)	Prec@1 29.688 (31.555)	Prec@5 56.250 (61.377)
Epoch: [3][12570/14090]	Time 0.783 (0.753)	Data 0.001 (0.001)	Loss 2.9330 (2.9182)	Prec@1 35.938 (31.554)	Prec@5 60.938 (61.377)
Epoch: [3][12580/14090]	Time 0.768 (0.753)	Data 0.001 (0.001)	Loss 2.5229 (2.9182)	Prec@1 34.375 (31.553)	Prec@5 65.625 (61.377)
Epoch: [3][12590/14090]	Time 0.758 (0.753)	Data 0.001 (0.001)	Loss 3.0430 (2.9182)	Prec@1 29.688 (31.555)	Prec@5 60.938 (61.377)
Epoch: [3][12600/14090]	Time 0.780 (0.753)	Data 0.001 (0.001)	Loss 2.9288 (2.9182)	Prec@1 33.594 (31.555)	Prec@5 69.531 (61.378)
Epoch: [3][12610/14090]	Time 0.774 (0.753)	Data 0.001 (0.001)	Loss 2.8128 (2.9182)	Prec@1 34.375 (31.556)	Prec@5 64.844 (61.379)
Epoch: [3][12620/14090]	Time 0.734 (0.753)	Data 0.001 (0.001)	Loss 2.8051 (2.9182)	Prec@1 33.594 (31.555)	Prec@5 59.375 (61.378)
Epoch: [3][12630/14090]	Time 0.749 (0.753)	Data 0.002 (0.001)	Loss 2.8313 (2.9182)	Prec@1 35.938 (31.555)	Prec@5 60.938 (61.378)
Epoch: [3][12640/14090]	Time 0.780 (0.753)	Data 0.001 (0.001)	Loss 2.8343 (2.9181)	Prec@1 36.719 (31.557)	Prec@5 66.406 (61.378)
Epoch: [3][12650/14090]	Time 0.785 (0.753)	Data 0.001 (0.001)	Loss 2.6157 (2.9181)	Prec@1 38.281 (31.557)	Prec@5 68.750 (61.378)
Epoch: [3][12660/14090]	Time 0.749 (0.753)	Data 0.001 (0.001)	Loss 2.8072 (2.9181)	Prec@1 30.469 (31.558)	Prec@5 60.938 (61.378)
Epoch: [3][12670/14090]	Time 0.733 (0.753)	Data 0.001 (0.001)	Loss 2.8083 (2.9180)	Prec@1 35.156 (31.558)	Prec@5 64.062 (61.380)
Epoch: [3][12680/14090]	Time 0.738 (0.753)	Data 0.001 (0.001)	Loss 2.6557 (2.9180)	Prec@1 38.281 (31.560)	Prec@5 64.062 (61.380)
Epoch: [3][12690/14090]	Time 0.775 (0.753)	Data 0.001 (0.001)	Loss 2.9828 (2.9180)	Prec@1 28.125 (31.560)	Prec@5 60.938 (61.380)
Epoch: [3][12700/14090]	Time 0.781 (0.753)	Data 0.002 (0.001)	Loss 2.6659 (2.9180)	Prec@1 39.844 (31.560)	Prec@5 64.062 (61.380)
Epoch: [3][12710/14090]	Time 0.786 (0.753)	Data 0.001 (0.001)	Loss 2.7678 (2.9179)	Prec@1 31.250 (31.560)	Prec@5 69.531 (61.381)
Epoch: [3][12720/14090]	Time 0.753 (0.753)	Data 0.001 (0.001)	Loss 2.7657 (2.9180)	Prec@1 32.812 (31.559)	Prec@5 60.156 (61.378)
Epoch: [3][12730/14090]	Time 0.783 (0.753)	Data 0.001 (0.001)	Loss 2.7784 (2.9180)	Prec@1 33.594 (31.558)	Prec@5 58.594 (61.378)
Epoch: [3][12740/14090]	Time 0.787 (0.753)	Data 0.001 (0.001)	Loss 2.7219 (2.9180)	Prec@1 35.938 (31.558)	Prec@5 64.062 (61.379)
Epoch: [3][12750/14090]	Time 0.765 (0.753)	Data 0.001 (0.001)	Loss 3.0882 (2.9180)	Prec@1 32.812 (31.560)	Prec@5 54.688 (61.379)
Epoch: [3][12760/14090]	Time 0.738 (0.753)	Data 0.001 (0.001)	Loss 2.9292 (2.9180)	Prec@1 29.688 (31.559)	Prec@5 62.500 (61.380)
Epoch: [3][12770/14090]	Time 0.761 (0.753)	Data 0.002 (0.001)	Loss 3.2197 (2.9181)	Prec@1 25.781 (31.557)	Prec@5 53.906 (61.378)
Epoch: [3][12780/14090]	Time 0.761 (0.753)	Data 0.001 (0.001)	Loss 2.7829 (2.9180)	Prec@1 32.031 (31.557)	Prec@5 61.719 (61.377)
Epoch: [3][12790/14090]	Time 0.769 (0.753)	Data 0.001 (0.001)	Loss 2.9562 (2.9181)	Prec@1 35.938 (31.558)	Prec@5 64.062 (61.377)
Epoch: [3][12800/14090]	Time 0.755 (0.753)	Data 0.001 (0.001)	Loss 2.9465 (2.9181)	Prec@1 31.250 (31.557)	Prec@5 57.031 (61.376)
Epoch: [3][12810/14090]	Time 0.773 (0.753)	Data 0.001 (0.001)	Loss 2.9303 (2.9181)	Prec@1 29.688 (31.558)	Prec@5 59.375 (61.377)
Epoch: [3][12820/14090]	Time 0.737 (0.753)	Data 0.001 (0.001)	Loss 2.7018 (2.9181)	Prec@1 31.250 (31.556)	Prec@5 65.625 (61.375)
Epoch: [3][12830/14090]	Time 0.766 (0.753)	Data 0.001 (0.001)	Loss 3.0001 (2.9181)	Prec@1 30.469 (31.557)	Prec@5 59.375 (61.375)
Epoch: [3][12840/14090]	Time 0.754 (0.753)	Data 0.002 (0.001)	Loss 3.1462 (2.9182)	Prec@1 29.688 (31.557)	Prec@5 51.562 (61.374)
Epoch: [3][12850/14090]	Time 0.743 (0.753)	Data 0.001 (0.001)	Loss 2.6121 (2.9181)	Prec@1 34.375 (31.558)	Prec@5 71.094 (61.375)
Epoch: [3][12860/14090]	Time 0.747 (0.753)	Data 0.001 (0.001)	Loss 2.8384 (2.9181)	Prec@1 28.125 (31.558)	Prec@5 62.500 (61.374)
Epoch: [3][12870/14090]	Time 0.737 (0.753)	Data 0.001 (0.001)	Loss 2.9980 (2.9181)	Prec@1 24.219 (31.558)	Prec@5 60.156 (61.373)
Epoch: [3][12880/14090]	Time 0.757 (0.753)	Data 0.001 (0.001)	Loss 2.8239 (2.9181)	Prec@1 32.031 (31.558)	Prec@5 61.719 (61.373)
Epoch: [3][12890/14090]	Time 0.742 (0.753)	Data 0.001 (0.001)	Loss 2.8613 (2.9181)	Prec@1 28.125 (31.557)	Prec@5 66.406 (61.375)
Epoch: [3][12900/14090]	Time 0.737 (0.753)	Data 0.001 (0.001)	Loss 2.9692 (2.9181)	Prec@1 29.688 (31.558)	Prec@5 59.375 (61.375)
Epoch: [3][12910/14090]	Time 0.776 (0.753)	Data 0.002 (0.001)	Loss 2.6836 (2.9181)	Prec@1 34.375 (31.558)	Prec@5 64.844 (61.374)
Epoch: [3][12920/14090]	Time 0.741 (0.753)	Data 0.001 (0.001)	Loss 2.6799 (2.9181)	Prec@1 33.594 (31.558)	Prec@5 64.844 (61.375)
Epoch: [3][12930/14090]	Time 0.745 (0.753)	Data 0.001 (0.001)	Loss 2.9680 (2.9181)	Prec@1 26.562 (31.558)	Prec@5 56.250 (61.375)
Epoch: [3][12940/14090]	Time 0.773 (0.753)	Data 0.001 (0.001)	Loss 2.9235 (2.9180)	Prec@1 30.469 (31.558)	Prec@5 62.500 (61.376)
Epoch: [3][12950/14090]	Time 0.743 (0.753)	Data 0.001 (0.001)	Loss 3.1177 (2.9181)	Prec@1 31.250 (31.557)	Prec@5 60.156 (61.375)
Epoch: [3][12960/14090]	Time 0.763 (0.753)	Data 0.001 (0.001)	Loss 2.9096 (2.9180)	Prec@1 31.250 (31.560)	Prec@5 64.844 (61.378)
Epoch: [3][12970/14090]	Time 0.741 (0.753)	Data 0.001 (0.001)	Loss 2.9706 (2.9179)	Prec@1 32.031 (31.561)	Prec@5 56.250 (61.378)
Epoch: [3][12980/14090]	Time 0.738 (0.753)	Data 0.002 (0.001)	Loss 2.8229 (2.9180)	Prec@1 37.500 (31.561)	Prec@5 62.500 (61.378)
Epoch: [3][12990/14090]	Time 0.758 (0.753)	Data 0.001 (0.001)	Loss 2.7609 (2.9179)	Prec@1 35.156 (31.562)	Prec@5 62.500 (61.378)
Epoch: [3][13000/14090]	Time 0.749 (0.753)	Data 0.001 (0.001)	Loss 2.9151 (2.9179)	Prec@1 26.562 (31.563)	Prec@5 59.375 (61.378)
Epoch: [3][13010/14090]	Time 0.762 (0.753)	Data 0.001 (0.001)	Loss 2.8534 (2.9179)	Prec@1 26.562 (31.563)	Prec@5 64.844 (61.378)
Epoch: [3][13020/14090]	Time 0.727 (0.753)	Data 0.001 (0.001)	Loss 3.0375 (2.9179)	Prec@1 27.344 (31.563)	Prec@5 54.688 (61.379)
Epoch: [3][13030/14090]	Time 0.740 (0.753)	Data 0.001 (0.001)	Loss 3.0205 (2.9179)	Prec@1 26.562 (31.562)	Prec@5 56.250 (61.378)
Epoch: [3][13040/14090]	Time 0.746 (0.753)	Data 0.001 (0.001)	Loss 2.5650 (2.9180)	Prec@1 38.281 (31.560)	Prec@5 70.312 (61.376)
Epoch: [3][13050/14090]	Time 0.768 (0.753)	Data 0.003 (0.001)	Loss 3.0193 (2.9180)	Prec@1 28.906 (31.561)	Prec@5 59.375 (61.375)
Epoch: [3][13060/14090]	Time 0.798 (0.753)	Data 0.001 (0.001)	Loss 2.8441 (2.9180)	Prec@1 32.031 (31.561)	Prec@5 63.281 (61.375)
Epoch: [3][13070/14090]	Time 0.749 (0.753)	Data 0.001 (0.001)	Loss 2.9764 (2.9179)	Prec@1 32.812 (31.562)	Prec@5 60.938 (61.378)
Epoch: [3][13080/14090]	Time 0.753 (0.753)	Data 0.001 (0.001)	Loss 2.8162 (2.9179)	Prec@1 32.812 (31.562)	Prec@5 60.156 (61.379)
Epoch: [3][13090/14090]	Time 0.769 (0.753)	Data 0.001 (0.001)	Loss 2.8715 (2.9179)	Prec@1 29.688 (31.563)	Prec@5 62.500 (61.379)
Epoch: [3][13100/14090]	Time 0.760 (0.753)	Data 0.001 (0.001)	Loss 3.0068 (2.9179)	Prec@1 25.000 (31.564)	Prec@5 60.938 (61.379)
Epoch: [3][13110/14090]	Time 0.754 (0.753)	Data 0.001 (0.001)	Loss 2.7680 (2.9179)	Prec@1 31.250 (31.562)	Prec@5 60.156 (61.379)
Epoch: [3][13120/14090]	Time 0.739 (0.753)	Data 0.002 (0.001)	Loss 2.8143 (2.9178)	Prec@1 33.594 (31.562)	Prec@5 66.406 (61.380)
Epoch: [3][13130/14090]	Time 0.733 (0.753)	Data 0.001 (0.001)	Loss 2.8641 (2.9178)	Prec@1 32.031 (31.563)	Prec@5 65.625 (61.381)
Epoch: [3][13140/14090]	Time 0.765 (0.753)	Data 0.001 (0.001)	Loss 2.9526 (2.9178)	Prec@1 28.906 (31.561)	Prec@5 62.500 (61.380)
Epoch: [3][13150/14090]	Time 0.766 (0.753)	Data 0.001 (0.001)	Loss 2.7734 (2.9177)	Prec@1 32.812 (31.561)	Prec@5 64.844 (61.380)
Epoch: [3][13160/14090]	Time 0.777 (0.753)	Data 0.001 (0.001)	Loss 2.9042 (2.9177)	Prec@1 30.469 (31.563)	Prec@5 60.156 (61.381)
Epoch: [3][13170/14090]	Time 0.763 (0.753)	Data 0.001 (0.001)	Loss 3.0833 (2.9176)	Prec@1 22.656 (31.562)	Prec@5 57.812 (61.381)
Epoch: [3][13180/14090]	Time 0.727 (0.753)	Data 0.001 (0.001)	Loss 2.9935 (2.9177)	Prec@1 28.125 (31.561)	Prec@5 59.375 (61.381)
Epoch: [3][13190/14090]	Time 0.745 (0.753)	Data 0.002 (0.001)	Loss 2.8615 (2.9177)	Prec@1 28.906 (31.561)	Prec@5 59.375 (61.382)
Epoch: [3][13200/14090]	Time 0.725 (0.753)	Data 0.001 (0.001)	Loss 2.9018 (2.9177)	Prec@1 29.688 (31.562)	Prec@5 59.375 (61.382)
Epoch: [3][13210/14090]	Time 0.771 (0.753)	Data 0.001 (0.001)	Loss 3.2152 (2.9177)	Prec@1 27.344 (31.562)	Prec@5 56.250 (61.381)
Epoch: [3][13220/14090]	Time 0.732 (0.753)	Data 0.001 (0.001)	Loss 2.6777 (2.9176)	Prec@1 32.812 (31.564)	Prec@5 64.844 (61.383)
Epoch: [3][13230/14090]	Time 0.739 (0.753)	Data 0.001 (0.001)	Loss 2.8702 (2.9176)	Prec@1 36.719 (31.565)	Prec@5 64.844 (61.383)
Epoch: [3][13240/14090]	Time 0.748 (0.753)	Data 0.001 (0.001)	Loss 2.7368 (2.9176)	Prec@1 39.844 (31.566)	Prec@5 64.062 (61.382)
Epoch: [3][13250/14090]	Time 0.778 (0.753)	Data 0.001 (0.001)	Loss 3.0161 (2.9175)	Prec@1 32.031 (31.566)	Prec@5 62.500 (61.383)
Epoch: [3][13260/14090]	Time 0.773 (0.753)	Data 0.002 (0.001)	Loss 2.9718 (2.9175)	Prec@1 38.281 (31.568)	Prec@5 57.031 (61.383)
Epoch: [3][13270/14090]	Time 0.731 (0.753)	Data 0.001 (0.001)	Loss 2.8894 (2.9176)	Prec@1 33.594 (31.568)	Prec@5 60.156 (61.382)
Epoch: [3][13280/14090]	Time 0.740 (0.753)	Data 0.001 (0.001)	Loss 2.9751 (2.9176)	Prec@1 28.906 (31.567)	Prec@5 64.062 (61.382)
Epoch: [3][13290/14090]	Time 0.730 (0.753)	Data 0.001 (0.001)	Loss 2.7750 (2.9176)	Prec@1 35.156 (31.566)	Prec@5 63.281 (61.381)
Epoch: [3][13300/14090]	Time 0.753 (0.753)	Data 0.001 (0.001)	Loss 3.0030 (2.9175)	Prec@1 32.031 (31.567)	Prec@5 58.594 (61.382)
Epoch: [3][13310/14090]	Time 0.766 (0.753)	Data 0.001 (0.001)	Loss 2.9681 (2.9176)	Prec@1 32.812 (31.567)	Prec@5 60.156 (61.381)
Epoch: [3][13320/14090]	Time 0.777 (0.753)	Data 0.001 (0.001)	Loss 2.7822 (2.9176)	Prec@1 28.906 (31.566)	Prec@5 66.406 (61.380)
Epoch: [3][13330/14090]	Time 0.751 (0.753)	Data 0.002 (0.001)	Loss 2.7685 (2.9175)	Prec@1 37.500 (31.567)	Prec@5 65.625 (61.381)
Epoch: [3][13340/14090]	Time 0.754 (0.753)	Data 0.001 (0.001)	Loss 2.6832 (2.9174)	Prec@1 37.500 (31.567)	Prec@5 62.500 (61.382)
Epoch: [3][13350/14090]	Time 0.758 (0.753)	Data 0.001 (0.001)	Loss 2.8792 (2.9174)	Prec@1 28.125 (31.569)	Prec@5 60.938 (61.382)
Epoch: [3][13360/14090]	Time 0.737 (0.753)	Data 0.001 (0.001)	Loss 3.0179 (2.9173)	Prec@1 30.469 (31.570)	Prec@5 56.250 (61.383)
Epoch: [3][13370/14090]	Time 0.730 (0.753)	Data 0.001 (0.001)	Loss 2.7392 (2.9174)	Prec@1 35.156 (31.569)	Prec@5 62.500 (61.383)
Epoch: [3][13380/14090]	Time 0.756 (0.753)	Data 0.001 (0.001)	Loss 2.9324 (2.9174)	Prec@1 37.500 (31.570)	Prec@5 58.594 (61.383)
Epoch: [3][13390/14090]	Time 0.736 (0.753)	Data 0.001 (0.001)	Loss 3.0054 (2.9174)	Prec@1 28.125 (31.569)	Prec@5 56.250 (61.382)
Epoch: [3][13400/14090]	Time 0.780 (0.753)	Data 0.003 (0.001)	Loss 2.8766 (2.9174)	Prec@1 27.344 (31.568)	Prec@5 57.812 (61.381)
Epoch: [3][13410/14090]	Time 0.732 (0.753)	Data 0.001 (0.001)	Loss 2.8815 (2.9174)	Prec@1 28.906 (31.567)	Prec@5 60.156 (61.381)
Epoch: [3][13420/14090]	Time 0.753 (0.753)	Data 0.001 (0.001)	Loss 2.8227 (2.9174)	Prec@1 35.156 (31.567)	Prec@5 57.812 (61.381)
Epoch: [3][13430/14090]	Time 0.737 (0.753)	Data 0.001 (0.001)	Loss 2.7477 (2.9174)	Prec@1 35.938 (31.568)	Prec@5 63.281 (61.381)
Epoch: [3][13440/14090]	Time 0.765 (0.753)	Data 0.001 (0.001)	Loss 2.7917 (2.9174)	Prec@1 28.906 (31.568)	Prec@5 67.188 (61.381)
Epoch: [3][13450/14090]	Time 0.740 (0.753)	Data 0.001 (0.001)	Loss 2.8980 (2.9174)	Prec@1 28.125 (31.567)	Prec@5 61.719 (61.382)
Epoch: [3][13460/14090]	Time 0.740 (0.753)	Data 0.001 (0.001)	Loss 2.6813 (2.9174)	Prec@1 38.281 (31.567)	Prec@5 64.062 (61.382)
Epoch: [3][13470/14090]	Time 0.748 (0.753)	Data 0.002 (0.001)	Loss 2.8974 (2.9174)	Prec@1 33.594 (31.569)	Prec@5 63.281 (61.383)
Epoch: [3][13480/14090]	Time 0.752 (0.753)	Data 0.001 (0.001)	Loss 2.7923 (2.9174)	Prec@1 33.594 (31.568)	Prec@5 60.938 (61.383)
Epoch: [3][13490/14090]	Time 0.760 (0.753)	Data 0.001 (0.001)	Loss 2.8653 (2.9173)	Prec@1 35.156 (31.569)	Prec@5 64.062 (61.385)
Epoch: [3][13500/14090]	Time 0.761 (0.753)	Data 0.001 (0.001)	Loss 2.9775 (2.9173)	Prec@1 29.688 (31.570)	Prec@5 59.375 (61.385)
Epoch: [3][13510/14090]	Time 0.761 (0.753)	Data 0.001 (0.001)	Loss 2.8299 (2.9172)	Prec@1 29.688 (31.570)	Prec@5 64.844 (61.387)
Epoch: [3][13520/14090]	Time 0.736 (0.753)	Data 0.001 (0.001)	Loss 3.3246 (2.9172)	Prec@1 28.125 (31.572)	Prec@5 55.469 (61.387)
Epoch: [3][13530/14090]	Time 0.735 (0.753)	Data 0.001 (0.001)	Loss 2.8632 (2.9172)	Prec@1 34.375 (31.572)	Prec@5 57.031 (61.387)
Epoch: [3][13540/14090]	Time 0.731 (0.753)	Data 0.001 (0.001)	Loss 2.7066 (2.9172)	Prec@1 35.938 (31.571)	Prec@5 67.188 (61.387)
Epoch: [3][13550/14090]	Time 0.742 (0.753)	Data 0.001 (0.001)	Loss 2.8929 (2.9172)	Prec@1 33.594 (31.570)	Prec@5 66.406 (61.386)
Epoch: [3][13560/14090]	Time 0.753 (0.753)	Data 0.001 (0.001)	Loss 2.8330 (2.9172)	Prec@1 39.062 (31.571)	Prec@5 64.062 (61.387)
Epoch: [3][13570/14090]	Time 0.736 (0.753)	Data 0.001 (0.001)	Loss 3.1278 (2.9172)	Prec@1 28.125 (31.572)	Prec@5 58.594 (61.388)
Epoch: [3][13580/14090]	Time 0.758 (0.753)	Data 0.001 (0.001)	Loss 3.2115 (2.9173)	Prec@1 24.219 (31.569)	Prec@5 54.688 (61.386)
Epoch: [3][13590/14090]	Time 0.735 (0.753)	Data 0.001 (0.001)	Loss 2.7674 (2.9172)	Prec@1 36.719 (31.571)	Prec@5 67.969 (61.388)
Epoch: [3][13600/14090]	Time 0.739 (0.753)	Data 0.001 (0.001)	Loss 2.8369 (2.9172)	Prec@1 32.812 (31.571)	Prec@5 64.062 (61.388)
Epoch: [3][13610/14090]	Time 0.731 (0.753)	Data 0.002 (0.001)	Loss 2.7354 (2.9172)	Prec@1 33.594 (31.572)	Prec@5 65.625 (61.388)
Epoch: [3][13620/14090]	Time 0.753 (0.753)	Data 0.001 (0.001)	Loss 3.1142 (2.9172)	Prec@1 29.688 (31.572)	Prec@5 62.500 (61.388)
Epoch: [3][13630/14090]	Time 0.745 (0.753)	Data 0.001 (0.001)	Loss 3.1640 (2.9172)	Prec@1 30.469 (31.575)	Prec@5 58.594 (61.389)
Epoch: [3][13640/14090]	Time 0.732 (0.753)	Data 0.001 (0.001)	Loss 2.9193 (2.9171)	Prec@1 28.906 (31.577)	Prec@5 67.969 (61.390)
Epoch: [3][13650/14090]	Time 0.725 (0.753)	Data 0.001 (0.001)	Loss 2.8019 (2.9171)	Prec@1 36.719 (31.576)	Prec@5 64.844 (61.391)
Epoch: [3][13660/14090]	Time 0.724 (0.753)	Data 0.001 (0.001)	Loss 2.7119 (2.9171)	Prec@1 35.156 (31.576)	Prec@5 67.188 (61.390)
Epoch: [3][13670/14090]	Time 0.783 (0.753)	Data 0.001 (0.001)	Loss 2.7861 (2.9171)	Prec@1 32.812 (31.576)	Prec@5 62.500 (61.390)
Epoch: [3][13680/14090]	Time 0.786 (0.753)	Data 0.002 (0.001)	Loss 3.0148 (2.9171)	Prec@1 31.250 (31.577)	Prec@5 58.594 (61.389)
Epoch: [3][13690/14090]	Time 0.740 (0.753)	Data 0.001 (0.001)	Loss 2.8955 (2.9171)	Prec@1 34.375 (31.577)	Prec@5 64.062 (61.390)
Epoch: [3][13700/14090]	Time 0.735 (0.753)	Data 0.001 (0.001)	Loss 2.4512 (2.9171)	Prec@1 42.969 (31.578)	Prec@5 71.875 (61.390)
Epoch: [3][13710/14090]	Time 0.750 (0.753)	Data 0.001 (0.001)	Loss 2.8956 (2.9170)	Prec@1 28.906 (31.578)	Prec@5 61.719 (61.391)
Epoch: [3][13720/14090]	Time 0.745 (0.753)	Data 0.001 (0.001)	Loss 2.8483 (2.9170)	Prec@1 32.812 (31.578)	Prec@5 56.250 (61.390)
Epoch: [3][13730/14090]	Time 0.742 (0.753)	Data 0.001 (0.001)	Loss 3.1240 (2.9170)	Prec@1 31.250 (31.579)	Prec@5 56.250 (61.391)
Epoch: [3][13740/14090]	Time 0.771 (0.753)	Data 0.001 (0.001)	Loss 3.0757 (2.9169)	Prec@1 28.125 (31.580)	Prec@5 57.031 (61.392)
Epoch: [3][13750/14090]	Time 0.747 (0.753)	Data 0.002 (0.001)	Loss 2.4106 (2.9168)	Prec@1 40.625 (31.583)	Prec@5 71.875 (61.393)
Epoch: [3][13760/14090]	Time 0.755 (0.753)	Data 0.001 (0.001)	Loss 2.8245 (2.9168)	Prec@1 36.719 (31.584)	Prec@5 67.188 (61.393)
Epoch: [3][13770/14090]	Time 0.744 (0.753)	Data 0.001 (0.001)	Loss 2.7953 (2.9167)	Prec@1 35.938 (31.585)	Prec@5 66.406 (61.396)
Epoch: [3][13780/14090]	Time 0.776 (0.753)	Data 0.001 (0.001)	Loss 2.8603 (2.9167)	Prec@1 25.781 (31.585)	Prec@5 64.062 (61.395)
Epoch: [3][13790/14090]	Time 0.774 (0.753)	Data 0.001 (0.001)	Loss 2.7730 (2.9166)	Prec@1 35.938 (31.586)	Prec@5 64.062 (61.396)
Epoch: [3][13800/14090]	Time 0.750 (0.753)	Data 0.001 (0.001)	Loss 3.0508 (2.9166)	Prec@1 29.688 (31.586)	Prec@5 58.594 (61.397)
Epoch: [3][13810/14090]	Time 0.747 (0.753)	Data 0.001 (0.001)	Loss 2.9225 (2.9165)	Prec@1 32.031 (31.587)	Prec@5 63.281 (61.399)
Epoch: [3][13820/14090]	Time 0.754 (0.753)	Data 0.002 (0.001)	Loss 3.0054 (2.9166)	Prec@1 29.688 (31.587)	Prec@5 58.594 (61.397)
Epoch: [3][13830/14090]	Time 0.737 (0.753)	Data 0.001 (0.001)	Loss 3.1172 (2.9166)	Prec@1 32.812 (31.588)	Prec@5 62.500 (61.398)
Epoch: [3][13840/14090]	Time 0.740 (0.753)	Data 0.001 (0.001)	Loss 3.0062 (2.9166)	Prec@1 29.688 (31.588)	Prec@5 60.938 (61.398)
Epoch: [3][13850/14090]	Time 0.756 (0.753)	Data 0.001 (0.001)	Loss 3.2213 (2.9165)	Prec@1 24.219 (31.589)	Prec@5 57.031 (61.399)
Epoch: [3][13860/14090]	Time 0.732 (0.753)	Data 0.001 (0.001)	Loss 2.8146 (2.9166)	Prec@1 33.594 (31.589)	Prec@5 63.281 (61.399)
Epoch: [3][13870/14090]	Time 0.758 (0.753)	Data 0.001 (0.001)	Loss 3.2379 (2.9166)	Prec@1 23.438 (31.589)	Prec@5 53.125 (61.399)
Epoch: [3][13880/14090]	Time 0.726 (0.753)	Data 0.001 (0.001)	Loss 2.4896 (2.9165)	Prec@1 42.969 (31.591)	Prec@5 68.750 (61.399)
Epoch: [3][13890/14090]	Time 0.740 (0.753)	Data 0.003 (0.001)	Loss 2.9093 (2.9165)	Prec@1 28.125 (31.590)	Prec@5 60.156 (61.400)
Epoch: [3][13900/14090]	Time 0.771 (0.753)	Data 0.001 (0.001)	Loss 2.9244 (2.9165)	Prec@1 25.000 (31.590)	Prec@5 65.625 (61.399)
Epoch: [3][13910/14090]	Time 0.774 (0.753)	Data 0.001 (0.001)	Loss 2.9241 (2.9165)	Prec@1 33.594 (31.588)	Prec@5 61.719 (61.399)
Epoch: [3][13920/14090]	Time 0.742 (0.753)	Data 0.001 (0.001)	Loss 2.6103 (2.9165)	Prec@1 31.250 (31.589)	Prec@5 67.969 (61.400)
Epoch: [3][13930/14090]	Time 0.775 (0.753)	Data 0.001 (0.001)	Loss 3.2432 (2.9165)	Prec@1 27.344 (31.588)	Prec@5 60.156 (61.400)
Epoch: [3][13940/14090]	Time 0.772 (0.753)	Data 0.001 (0.001)	Loss 2.7340 (2.9164)	Prec@1 32.812 (31.588)	Prec@5 70.312 (61.402)
Epoch: [3][13950/14090]	Time 0.743 (0.753)	Data 0.001 (0.001)	Loss 2.7734 (2.9164)	Prec@1 34.375 (31.588)	Prec@5 66.406 (61.403)
Epoch: [3][13960/14090]	Time 0.742 (0.753)	Data 0.003 (0.001)	Loss 2.7641 (2.9165)	Prec@1 32.031 (31.588)	Prec@5 65.625 (61.403)
Epoch: [3][13970/14090]	Time 0.757 (0.753)	Data 0.001 (0.001)	Loss 2.8935 (2.9165)	Prec@1 32.031 (31.589)	Prec@5 64.844 (61.404)
Epoch: [3][13980/14090]	Time 0.735 (0.753)	Data 0.001 (0.001)	Loss 2.8372 (2.9164)	Prec@1 25.781 (31.589)	Prec@5 64.844 (61.405)
Epoch: [3][13990/14090]	Time 0.786 (0.753)	Data 0.001 (0.001)	Loss 2.9631 (2.9163)	Prec@1 32.812 (31.591)	Prec@5 56.250 (61.407)
Epoch: [3][14000/14090]	Time 0.755 (0.753)	Data 0.001 (0.001)	Loss 2.9195 (2.9162)	Prec@1 29.688 (31.593)	Prec@5 64.844 (61.408)
Epoch: [3][14010/14090]	Time 0.735 (0.753)	Data 0.001 (0.001)	Loss 2.6677 (2.9162)	Prec@1 38.281 (31.594)	Prec@5 66.406 (61.409)
Epoch: [3][14020/14090]	Time 0.747 (0.753)	Data 0.001 (0.001)	Loss 3.1052 (2.9162)	Prec@1 27.344 (31.594)	Prec@5 57.031 (61.410)
Epoch: [3][14030/14090]	Time 0.760 (0.753)	Data 0.002 (0.001)	Loss 3.2157 (2.9162)	Prec@1 24.219 (31.593)	Prec@5 62.500 (61.410)
Epoch: [3][14040/14090]	Time 0.737 (0.753)	Data 0.001 (0.001)	Loss 2.7185 (2.9162)	Prec@1 32.031 (31.594)	Prec@5 65.625 (61.411)
Epoch: [3][14050/14090]	Time 0.738 (0.753)	Data 0.001 (0.001)	Loss 2.8184 (2.9162)	Prec@1 32.812 (31.596)	Prec@5 64.062 (61.412)
Epoch: [3][14060/14090]	Time 0.728 (0.753)	Data 0.001 (0.001)	Loss 3.1044 (2.9162)	Prec@1 35.156 (31.596)	Prec@5 61.719 (61.412)
Epoch: [3][14070/14090]	Time 0.757 (0.753)	Data 0.001 (0.001)	Loss 2.7677 (2.9162)	Prec@1 36.719 (31.597)	Prec@5 63.281 (61.412)
Epoch: [3][14080/14090]	Time 0.745 (0.753)	Data 0.000 (0.001)	Loss 2.9441 (2.9162)	Prec@1 34.375 (31.597)	Prec@5 63.281 (61.411)
Test: [0/286]	Time 2.600 (2.600)	Loss 1.8649 (1.8649)	Prec@1 42.188 (42.188)	Prec@5 89.844 (89.844)
Test: [10/286]	Time 0.235 (0.481)	Loss 2.7848 (2.7232)	Prec@1 21.094 (31.534)	Prec@5 70.312 (68.395)
Test: [20/286]	Time 0.308 (0.374)	Loss 2.7854 (2.6938)	Prec@1 37.500 (34.338)	Prec@5 64.844 (67.708)
Test: [30/286]	Time 0.272 (0.334)	Loss 2.9978 (2.5488)	Prec@1 35.938 (38.483)	Prec@5 61.719 (69.960)
Test: [40/286]	Time 0.240 (0.314)	Loss 2.9557 (2.5954)	Prec@1 21.875 (37.252)	Prec@5 57.812 (68.502)
Test: [50/286]	Time 0.228 (0.303)	Loss 0.7167 (2.5592)	Prec@1 82.812 (37.868)	Prec@5 93.750 (69.256)
Test: [60/286]	Time 0.233 (0.296)	Loss 3.5032 (2.6099)	Prec@1 18.750 (36.642)	Prec@5 55.469 (67.905)
Test: [70/286]	Time 0.269 (0.292)	Loss 2.4985 (2.6241)	Prec@1 40.625 (36.136)	Prec@5 68.750 (67.584)
Test: [80/286]	Time 0.254 (0.288)	Loss 3.0430 (2.6401)	Prec@1 23.438 (35.426)	Prec@5 62.500 (67.149)
Test: [90/286]	Time 0.237 (0.285)	Loss 2.4578 (2.5986)	Prec@1 35.938 (36.255)	Prec@5 73.438 (68.080)
Test: [100/286]	Time 0.241 (0.282)	Loss 3.8868 (2.6116)	Prec@1 9.375 (35.999)	Prec@5 42.969 (67.868)
Test: [110/286]	Time 0.250 (0.280)	Loss 2.5531 (2.6158)	Prec@1 38.281 (35.705)	Prec@5 67.969 (67.863)
Test: [120/286]	Time 0.254 (0.278)	Loss 3.0517 (2.5936)	Prec@1 32.812 (36.228)	Prec@5 60.156 (68.324)
Test: [130/286]	Time 0.245 (0.277)	Loss 1.1878 (2.5768)	Prec@1 64.844 (36.677)	Prec@5 94.531 (68.625)
Test: [140/286]	Time 0.271 (0.276)	Loss 3.4940 (2.5714)	Prec@1 19.531 (36.746)	Prec@5 56.250 (68.844)
Test: [150/286]	Time 0.260 (0.275)	Loss 4.0591 (2.5870)	Prec@1 7.812 (36.217)	Prec@5 35.938 (68.584)
Test: [160/286]	Time 0.227 (0.274)	Loss 2.9237 (2.5816)	Prec@1 28.125 (36.267)	Prec@5 64.062 (68.784)
Test: [170/286]	Time 0.274 (0.273)	Loss 2.7269 (2.5676)	Prec@1 31.250 (36.504)	Prec@5 72.656 (69.079)
Test: [180/286]	Time 0.248 (0.272)	Loss 2.7162 (2.5788)	Prec@1 43.750 (36.408)	Prec@5 64.844 (68.763)
Test: [190/286]	Time 0.254 (0.272)	Loss 3.1710 (2.5971)	Prec@1 18.750 (35.991)	Prec@5 60.938 (68.517)
Test: [200/286]	Time 0.260 (0.272)	Loss 2.6952 (2.5862)	Prec@1 36.719 (36.338)	Prec@5 76.562 (68.777)
Test: [210/286]	Time 0.284 (0.271)	Loss 2.2737 (2.5947)	Prec@1 50.781 (36.115)	Prec@5 76.562 (68.606)
Test: [220/286]	Time 0.238 (0.271)	Loss 3.9011 (2.5986)	Prec@1 4.688 (36.143)	Prec@5 36.719 (68.439)
Test: [230/286]	Time 0.264 (0.270)	Loss 1.6790 (2.6014)	Prec@1 60.156 (36.228)	Prec@5 82.812 (68.334)
Test: [240/286]	Time 0.266 (0.269)	Loss 2.4546 (2.5946)	Prec@1 46.875 (36.450)	Prec@5 67.969 (68.539)
Test: [250/286]	Time 0.281 (0.269)	Loss 2.2480 (2.5828)	Prec@1 35.156 (36.526)	Prec@5 81.250 (68.927)
Test: [260/286]	Time 0.265 (0.269)	Loss 1.7544 (2.5645)	Prec@1 54.688 (36.892)	Prec@5 81.250 (69.235)
Test: [270/286]	Time 0.240 (0.268)	Loss 2.1740 (2.5577)	Prec@1 48.438 (37.085)	Prec@5 74.219 (69.370)
Test: [280/286]	Time 0.234 (0.268)	Loss 1.8433 (2.5373)	Prec@1 53.125 (37.642)	Prec@5 82.812 (69.698)
 * Prec@1 37.792 Prec@5 69.785
Epoch: [4][0/14090]	Time 4.647 (4.647)	Data 3.817 (3.817)	Loss 2.8192 (2.8192)	Prec@1 33.594 (33.594)	Prec@5 62.500 (62.500)
Epoch: [4][10/14090]	Time 0.725 (1.084)	Data 0.001 (0.348)	Loss 2.9690 (2.9064)	Prec@1 32.812 (32.244)	Prec@5 58.594 (59.730)
Epoch: [4][20/14090]	Time 0.722 (0.915)	Data 0.001 (0.183)	Loss 2.8774 (2.8885)	Prec@1 32.031 (31.994)	Prec@5 61.719 (61.049)
Epoch: [4][30/14090]	Time 0.751 (0.858)	Data 0.001 (0.124)	Loss 3.1724 (2.8984)	Prec@1 30.469 (32.132)	Prec@5 53.906 (60.811)
Epoch: [4][40/14090]	Time 0.746 (0.830)	Data 0.001 (0.094)	Loss 3.0917 (2.9033)	Prec@1 30.469 (32.317)	Prec@5 53.906 (60.614)
Epoch: [4][50/14090]	Time 0.753 (0.815)	Data 0.001 (0.076)	Loss 3.2799 (2.9267)	Prec@1 28.125 (32.322)	Prec@5 53.125 (60.692)
Epoch: [4][60/14090]	Time 0.744 (0.805)	Data 0.001 (0.063)	Loss 3.0400 (2.9198)	Prec@1 30.469 (32.390)	Prec@5 58.594 (60.745)
Epoch: [4][70/14090]	Time 0.730 (0.797)	Data 0.002 (0.055)	Loss 2.9021 (2.9170)	Prec@1 30.469 (32.152)	Prec@5 65.625 (60.949)
Epoch: [4][80/14090]	Time 0.753 (0.792)	Data 0.001 (0.048)	Loss 2.9279 (2.9131)	Prec@1 39.062 (32.388)	Prec@5 60.156 (61.179)
Epoch: [4][90/14090]	Time 0.734 (0.787)	Data 0.001 (0.043)	Loss 2.8445 (2.9082)	Prec@1 32.812 (32.246)	Prec@5 60.938 (61.032)
Epoch: [4][100/14090]	Time 0.756 (0.784)	Data 0.001 (0.039)	Loss 2.8075 (2.9100)	Prec@1 36.719 (32.294)	Prec@5 64.062 (60.899)
Epoch: [4][110/14090]	Time 0.755 (0.781)	Data 0.001 (0.035)	Loss 3.0466 (2.9168)	Prec@1 28.906 (32.137)	Prec@5 54.688 (60.776)
Epoch: [4][120/14090]	Time 0.752 (0.779)	Data 0.001 (0.032)	Loss 2.2604 (2.9088)	Prec@1 46.875 (32.089)	Prec@5 71.094 (60.944)
Epoch: [4][130/14090]	Time 0.772 (0.777)	Data 0.001 (0.030)	Loss 3.2203 (2.9115)	Prec@1 29.688 (32.085)	Prec@5 54.688 (60.985)
Epoch: [4][140/14090]	Time 0.757 (0.776)	Data 0.002 (0.028)	Loss 2.7917 (2.9120)	Prec@1 34.375 (32.109)	Prec@5 64.062 (61.026)
Epoch: [4][150/14090]	Time 0.743 (0.774)	Data 0.001 (0.026)	Loss 2.6930 (2.9080)	Prec@1 39.062 (32.223)	Prec@5 65.625 (61.056)
Epoch: [4][160/14090]	Time 0.741 (0.773)	Data 0.001 (0.025)	Loss 2.9044 (2.9094)	Prec@1 35.938 (32.196)	Prec@5 60.156 (61.035)
Epoch: [4][170/14090]	Time 0.755 (0.772)	Data 0.001 (0.023)	Loss 3.0033 (2.9113)	Prec@1 28.906 (32.164)	Prec@5 59.375 (61.011)
Epoch: [4][180/14090]	Time 0.764 (0.771)	Data 0.001 (0.022)	Loss 2.8851 (2.9041)	Prec@1 35.938 (32.282)	Prec@5 55.469 (61.132)
Epoch: [4][190/14090]	Time 0.750 (0.770)	Data 0.001 (0.021)	Loss 2.7220 (2.8999)	Prec@1 35.156 (32.289)	Prec@5 65.625 (61.269)
Epoch: [4][200/14090]	Time 0.746 (0.769)	Data 0.001 (0.020)	Loss 2.9279 (2.8984)	Prec@1 33.594 (32.261)	Prec@5 58.594 (61.268)
Epoch: [4][210/14090]	Time 0.763 (0.768)	Data 0.002 (0.019)	Loss 2.9566 (2.9002)	Prec@1 30.469 (32.079)	Prec@5 61.719 (61.341)
Epoch: [4][220/14090]	Time 0.730 (0.767)	Data 0.001 (0.018)	Loss 2.6816 (2.9010)	Prec@1 36.719 (32.035)	Prec@5 64.844 (61.376)
Epoch: [4][230/14090]	Time 0.737 (0.766)	Data 0.001 (0.017)	Loss 3.0737 (2.9020)	Prec@1 28.906 (32.014)	Prec@5 57.812 (61.330)
Epoch: [4][240/14090]	Time 0.771 (0.766)	Data 0.001 (0.017)	Loss 3.0766 (2.9020)	Prec@1 32.031 (32.022)	Prec@5 54.688 (61.252)
Epoch: [4][250/14090]	Time 0.758 (0.766)	Data 0.001 (0.016)	Loss 3.0683 (2.9053)	Prec@1 30.469 (31.925)	Prec@5 53.906 (61.224)
Epoch: [4][260/14090]	Time 0.732 (0.765)	Data 0.001 (0.016)	Loss 3.0602 (2.9051)	Prec@1 33.594 (31.912)	Prec@5 54.688 (61.225)
Epoch: [4][270/14090]	Time 0.748 (0.764)	Data 0.001 (0.015)	Loss 2.8318 (2.9063)	Prec@1 34.375 (31.827)	Prec@5 59.375 (61.208)
Epoch: [4][280/14090]	Time 0.752 (0.764)	Data 0.002 (0.015)	Loss 2.9769 (2.9083)	Prec@1 34.375 (31.814)	Prec@5 61.719 (61.213)
Epoch: [4][290/14090]	Time 0.756 (0.764)	Data 0.001 (0.014)	Loss 3.1530 (2.9097)	Prec@1 32.031 (31.873)	Prec@5 60.938 (61.241)
Epoch: [4][300/14090]	Time 0.736 (0.763)	Data 0.001 (0.014)	Loss 2.8002 (2.9092)	Prec@1 43.750 (31.907)	Prec@5 64.062 (61.265)
Epoch: [4][310/14090]	Time 0.771 (0.763)	Data 0.001 (0.013)	Loss 2.6126 (2.9074)	Prec@1 32.812 (31.928)	Prec@5 70.312 (61.329)
Epoch: [4][320/14090]	Time 0.750 (0.763)	Data 0.001 (0.013)	Loss 2.9269 (2.9052)	Prec@1 32.812 (32.017)	Prec@5 60.938 (61.402)
Epoch: [4][330/14090]	Time 0.736 (0.762)	Data 0.001 (0.012)	Loss 2.6738 (2.9020)	Prec@1 39.062 (32.064)	Prec@5 68.750 (61.459)
Epoch: [4][340/14090]	Time 0.739 (0.762)	Data 0.001 (0.012)	Loss 2.8172 (2.9030)	Prec@1 35.156 (32.036)	Prec@5 67.969 (61.421)
Epoch: [4][350/14090]	Time 0.727 (0.762)	Data 0.002 (0.012)	Loss 2.9049 (2.9014)	Prec@1 32.031 (32.071)	Prec@5 62.500 (61.449)
Epoch: [4][360/14090]	Time 0.747 (0.761)	Data 0.001 (0.012)	Loss 2.7814 (2.9003)	Prec@1 30.469 (32.096)	Prec@5 67.188 (61.509)
Epoch: [4][370/14090]	Time 0.749 (0.761)	Data 0.001 (0.011)	Loss 2.9069 (2.9040)	Prec@1 32.812 (32.065)	Prec@5 58.594 (61.418)
Epoch: [4][380/14090]	Time 0.738 (0.761)	Data 0.001 (0.011)	Loss 2.9777 (2.9031)	Prec@1 27.344 (32.046)	Prec@5 60.938 (61.452)
Epoch: [4][390/14090]	Time 0.729 (0.761)	Data 0.001 (0.011)	Loss 2.6614 (2.9024)	Prec@1 35.938 (32.053)	Prec@5 60.156 (61.457)
Epoch: [4][400/14090]	Time 0.756 (0.761)	Data 0.001 (0.010)	Loss 3.1295 (2.9020)	Prec@1 28.906 (32.045)	Prec@5 59.375 (61.464)
Epoch: [4][410/14090]	Time 0.762 (0.760)	Data 0.001 (0.010)	Loss 2.4458 (2.8999)	Prec@1 39.844 (32.056)	Prec@5 67.188 (61.498)
Epoch: [4][420/14090]	Time 0.728 (0.760)	Data 0.002 (0.010)	Loss 2.5870 (2.8996)	Prec@1 38.281 (32.083)	Prec@5 65.625 (61.513)
Epoch: [4][430/14090]	Time 0.740 (0.760)	Data 0.001 (0.010)	Loss 2.9888 (2.8975)	Prec@1 23.438 (32.135)	Prec@5 60.938 (61.583)
Epoch: [4][440/14090]	Time 0.741 (0.760)	Data 0.001 (0.010)	Loss 3.1034 (2.8972)	Prec@1 28.906 (32.139)	Prec@5 57.031 (61.607)
Epoch: [4][450/14090]	Time 0.746 (0.759)	Data 0.001 (0.009)	Loss 3.1356 (2.8964)	Prec@1 25.781 (32.123)	Prec@5 58.594 (61.636)
Epoch: [4][460/14090]	Time 0.726 (0.759)	Data 0.001 (0.009)	Loss 3.1515 (2.8984)	Prec@1 24.219 (32.065)	Prec@5 57.812 (61.585)
Epoch: [4][470/14090]	Time 0.757 (0.759)	Data 0.001 (0.009)	Loss 2.8117 (2.8972)	Prec@1 32.031 (32.069)	Prec@5 67.969 (61.646)
Epoch: [4][480/14090]	Time 0.746 (0.759)	Data 0.001 (0.009)	Loss 2.8934 (2.8966)	Prec@1 33.594 (32.072)	Prec@5 57.031 (61.665)
Epoch: [4][490/14090]	Time 0.752 (0.759)	Data 0.002 (0.009)	Loss 2.5029 (2.8951)	Prec@1 44.531 (32.106)	Prec@5 70.312 (61.712)
Epoch: [4][500/14090]	Time 0.767 (0.758)	Data 0.001 (0.009)	Loss 2.7824 (2.8947)	Prec@1 32.031 (32.119)	Prec@5 63.281 (61.727)
Epoch: [4][510/14090]	Time 0.737 (0.758)	Data 0.001 (0.008)	Loss 2.7605 (2.8947)	Prec@1 35.938 (32.106)	Prec@5 64.062 (61.722)
Epoch: [4][520/14090]	Time 0.777 (0.758)	Data 0.001 (0.008)	Loss 2.6431 (2.8941)	Prec@1 33.594 (32.135)	Prec@5 67.188 (61.719)
Epoch: [4][530/14090]	Time 0.758 (0.758)	Data 0.001 (0.008)	Loss 2.8788 (2.8942)	Prec@1 31.250 (32.096)	Prec@5 62.500 (61.722)
Epoch: [4][540/14090]	Time 0.741 (0.758)	Data 0.001 (0.008)	Loss 2.6388 (2.8939)	Prec@1 35.938 (32.114)	Prec@5 67.969 (61.727)
Epoch: [4][550/14090]	Time 0.778 (0.758)	Data 0.001 (0.008)	Loss 3.0836 (2.8920)	Prec@1 32.812 (32.166)	Prec@5 57.812 (61.766)
Epoch: [4][560/14090]	Time 0.739 (0.758)	Data 0.002 (0.008)	Loss 2.9201 (2.8924)	Prec@1 36.719 (32.130)	Prec@5 58.594 (61.767)
Epoch: [4][570/14090]	Time 0.736 (0.757)	Data 0.001 (0.008)	Loss 2.9641 (2.8922)	Prec@1 28.906 (32.112)	Prec@5 62.500 (61.758)
Epoch: [4][580/14090]	Time 0.743 (0.757)	Data 0.001 (0.008)	Loss 2.9897 (2.8940)	Prec@1 32.031 (32.072)	Prec@5 63.281 (61.713)
Epoch: [4][590/14090]	Time 0.728 (0.757)	Data 0.001 (0.007)	Loss 2.7518 (2.8929)	Prec@1 35.938 (32.113)	Prec@5 71.875 (61.727)
Epoch: [4][600/14090]	Time 0.774 (0.757)	Data 0.001 (0.007)	Loss 2.8111 (2.8926)	Prec@1 29.688 (32.079)	Prec@5 64.062 (61.720)
Epoch: [4][610/14090]	Time 0.740 (0.757)	Data 0.001 (0.007)	Loss 2.6724 (2.8928)	Prec@1 39.062 (32.085)	Prec@5 64.844 (61.715)
Epoch: [4][620/14090]	Time 0.724 (0.757)	Data 0.001 (0.007)	Loss 2.8828 (2.8934)	Prec@1 30.469 (32.099)	Prec@5 65.625 (61.695)
Epoch: [4][630/14090]	Time 0.764 (0.757)	Data 0.002 (0.007)	Loss 2.9666 (2.8944)	Prec@1 23.438 (32.042)	Prec@5 61.719 (61.672)
Epoch: [4][640/14090]	Time 0.761 (0.757)	Data 0.001 (0.007)	Loss 2.9796 (2.8936)	Prec@1 32.031 (32.057)	Prec@5 58.594 (61.686)
Epoch: [4][650/14090]	Time 0.738 (0.757)	Data 0.001 (0.007)	Loss 2.9604 (2.8911)	Prec@1 25.000 (32.097)	Prec@5 64.844 (61.718)
Epoch: [4][660/14090]	Time 0.756 (0.757)	Data 0.001 (0.007)	Loss 2.7702 (2.8900)	Prec@1 34.375 (32.109)	Prec@5 60.156 (61.746)
Epoch: [4][670/14090]	Time 0.725 (0.757)	Data 0.001 (0.007)	Loss 2.7119 (2.8886)	Prec@1 35.938 (32.142)	Prec@5 67.188 (61.805)
Epoch: [4][680/14090]	Time 0.766 (0.757)	Data 0.001 (0.007)	Loss 2.9088 (2.8884)	Prec@1 25.000 (32.144)	Prec@5 64.062 (61.832)
Epoch: [4][690/14090]	Time 0.777 (0.757)	Data 0.001 (0.006)	Loss 2.7623 (2.8890)	Prec@1 38.281 (32.135)	Prec@5 60.938 (61.814)
Epoch: [4][700/14090]	Time 0.753 (0.757)	Data 0.002 (0.006)	Loss 2.8726 (2.8886)	Prec@1 31.250 (32.118)	Prec@5 60.156 (61.832)
Epoch: [4][710/14090]	Time 0.731 (0.757)	Data 0.001 (0.006)	Loss 3.0481 (2.8886)	Prec@1 35.938 (32.098)	Prec@5 60.938 (61.834)
Epoch: [4][720/14090]	Time 0.732 (0.757)	Data 0.001 (0.006)	Loss 3.0270 (2.8892)	Prec@1 32.031 (32.096)	Prec@5 62.500 (61.826)
Epoch: [4][730/14090]	Time 0.785 (0.757)	Data 0.001 (0.006)	Loss 2.9039 (2.8898)	Prec@1 34.375 (32.093)	Prec@5 67.188 (61.829)
Epoch: [4][740/14090]	Time 0.740 (0.756)	Data 0.001 (0.006)	Loss 2.9604 (2.8906)	Prec@1 29.688 (32.083)	Prec@5 62.500 (61.824)
Epoch: [4][750/14090]	Time 0.753 (0.756)	Data 0.001 (0.006)	Loss 3.0326 (2.8908)	Prec@1 28.125 (32.074)	Prec@5 61.719 (61.803)
Epoch: [4][760/14090]	Time 0.770 (0.756)	Data 0.001 (0.006)	Loss 3.0166 (2.8892)	Prec@1 30.469 (32.093)	Prec@5 60.938 (61.834)
Epoch: [4][770/14090]	Time 0.738 (0.756)	Data 0.002 (0.006)	Loss 2.9845 (2.8886)	Prec@1 35.156 (32.105)	Prec@5 62.500 (61.847)
Epoch: [4][780/14090]	Time 0.774 (0.756)	Data 0.001 (0.006)	Loss 2.7772 (2.8884)	Prec@1 35.938 (32.106)	Prec@5 64.062 (61.866)
Epoch: [4][790/14090]	Time 0.753 (0.756)	Data 0.001 (0.006)	Loss 2.7972 (2.8891)	Prec@1 33.594 (32.103)	Prec@5 63.281 (61.859)
Epoch: [4][800/14090]	Time 0.749 (0.756)	Data 0.001 (0.006)	Loss 3.2019 (2.8902)	Prec@1 21.875 (32.074)	Prec@5 52.344 (61.826)
Epoch: [4][810/14090]	Time 0.733 (0.756)	Data 0.001 (0.006)	Loss 3.3555 (2.8922)	Prec@1 25.000 (32.035)	Prec@5 51.562 (61.778)
Epoch: [4][820/14090]	Time 0.751 (0.756)	Data 0.001 (0.006)	Loss 2.7662 (2.8915)	Prec@1 35.938 (32.016)	Prec@5 67.188 (61.800)
Epoch: [4][830/14090]	Time 0.721 (0.756)	Data 0.001 (0.006)	Loss 2.7557 (2.8910)	Prec@1 33.594 (32.043)	Prec@5 64.844 (61.818)
Epoch: [4][840/14090]	Time 0.744 (0.756)	Data 0.002 (0.005)	Loss 2.9179 (2.8910)	Prec@1 27.344 (32.040)	Prec@5 62.500 (61.815)
Epoch: [4][850/14090]	Time 0.784 (0.756)	Data 0.001 (0.005)	Loss 2.5611 (2.8902)	Prec@1 39.844 (32.048)	Prec@5 67.969 (61.828)
Epoch: [4][860/14090]	Time 0.749 (0.756)	Data 0.001 (0.005)	Loss 2.8743 (2.8890)	Prec@1 35.938 (32.068)	Prec@5 57.812 (61.841)
Epoch: [4][870/14090]	Time 0.767 (0.756)	Data 0.001 (0.005)	Loss 2.9060 (2.8893)	Prec@1 25.781 (32.059)	Prec@5 63.281 (61.831)
Epoch: [4][880/14090]	Time 0.724 (0.756)	Data 0.001 (0.005)	Loss 2.7568 (2.8892)	Prec@1 32.812 (32.043)	Prec@5 60.938 (61.820)
Epoch: [4][890/14090]	Time 0.750 (0.756)	Data 0.001 (0.005)	Loss 2.7466 (2.8888)	Prec@1 35.938 (32.036)	Prec@5 66.406 (61.834)
Epoch: [4][900/14090]	Time 0.765 (0.756)	Data 0.001 (0.005)	Loss 2.9111 (2.8885)	Prec@1 32.031 (32.046)	Prec@5 64.844 (61.842)
Epoch: [4][910/14090]	Time 0.749 (0.755)	Data 0.002 (0.005)	Loss 2.7260 (2.8878)	Prec@1 30.469 (32.052)	Prec@5 63.281 (61.853)
Epoch: [4][920/14090]	Time 0.751 (0.755)	Data 0.001 (0.005)	Loss 2.8035 (2.8880)	Prec@1 32.812 (32.040)	Prec@5 62.500 (61.845)
Epoch: [4][930/14090]	Time 0.741 (0.755)	Data 0.001 (0.005)	Loss 2.6518 (2.8870)	Prec@1 38.281 (32.059)	Prec@5 64.062 (61.855)
Epoch: [4][940/14090]	Time 0.757 (0.755)	Data 0.001 (0.005)	Loss 3.2975 (2.8873)	Prec@1 23.438 (32.057)	Prec@5 54.688 (61.851)
Epoch: [4][950/14090]	Time 0.755 (0.755)	Data 0.001 (0.005)	Loss 2.9214 (2.8879)	Prec@1 28.125 (32.042)	Prec@5 60.938 (61.835)
Epoch: [4][960/14090]	Time 0.750 (0.755)	Data 0.001 (0.005)	Loss 3.0183 (2.8881)	Prec@1 27.344 (32.039)	Prec@5 60.156 (61.837)
Epoch: [4][970/14090]	Time 0.767 (0.755)	Data 0.001 (0.005)	Loss 2.9390 (2.8889)	Prec@1 31.250 (32.028)	Prec@5 62.500 (61.823)
Epoch: [4][980/14090]	Time 0.773 (0.755)	Data 0.002 (0.005)	Loss 2.5685 (2.8880)	Prec@1 34.375 (32.032)	Prec@5 68.750 (61.855)
Epoch: [4][990/14090]	Time 0.737 (0.755)	Data 0.001 (0.005)	Loss 2.7584 (2.8882)	Prec@1 32.812 (32.023)	Prec@5 64.062 (61.841)
Epoch: [4][1000/14090]	Time 0.737 (0.755)	Data 0.001 (0.005)	Loss 3.0134 (2.8881)	Prec@1 29.688 (32.020)	Prec@5 61.719 (61.837)
Epoch: [4][1010/14090]	Time 0.751 (0.755)	Data 0.001 (0.005)	Loss 3.2506 (2.8877)	Prec@1 31.250 (32.026)	Prec@5 53.906 (61.827)
Epoch: [4][1020/14090]	Time 0.735 (0.755)	Data 0.001 (0.005)	Loss 2.6024 (2.8879)	Prec@1 35.938 (32.010)	Prec@5 69.531 (61.828)
Epoch: [4][1030/14090]	Time 0.772 (0.755)	Data 0.001 (0.005)	Loss 2.7850 (2.8885)	Prec@1 28.906 (31.993)	Prec@5 60.938 (61.810)
Epoch: [4][1040/14090]	Time 0.737 (0.755)	Data 0.001 (0.005)	Loss 2.8615 (2.8887)	Prec@1 32.812 (31.985)	Prec@5 61.719 (61.807)
Epoch: [4][1050/14090]	Time 0.737 (0.755)	Data 0.002 (0.005)	Loss 2.8677 (2.8891)	Prec@1 36.719 (31.985)	Prec@5 58.594 (61.795)
Epoch: [4][1060/14090]	Time 0.757 (0.755)	Data 0.001 (0.005)	Loss 2.9209 (2.8886)	Prec@1 32.031 (31.989)	Prec@5 60.938 (61.812)
Epoch: [4][1070/14090]	Time 0.782 (0.755)	Data 0.001 (0.005)	Loss 3.1565 (2.8894)	Prec@1 25.781 (31.964)	Prec@5 55.469 (61.798)
Epoch: [4][1080/14090]	Time 0.757 (0.755)	Data 0.001 (0.004)	Loss 2.8320 (2.8886)	Prec@1 33.594 (31.973)	Prec@5 60.156 (61.808)
Epoch: [4][1090/14090]	Time 0.751 (0.755)	Data 0.001 (0.004)	Loss 3.0011 (2.8888)	Prec@1 25.781 (31.965)	Prec@5 60.156 (61.814)
Epoch: [4][1100/14090]	Time 0.740 (0.755)	Data 0.001 (0.004)	Loss 2.9561 (2.8900)	Prec@1 31.250 (31.960)	Prec@5 58.594 (61.794)
Epoch: [4][1110/14090]	Time 0.735 (0.755)	Data 0.001 (0.004)	Loss 2.8363 (2.8904)	Prec@1 29.688 (31.933)	Prec@5 67.188 (61.798)
Epoch: [4][1120/14090]	Time 0.774 (0.755)	Data 0.002 (0.004)	Loss 3.0986 (2.8909)	Prec@1 28.906 (31.933)	Prec@5 59.375 (61.788)
Epoch: [4][1130/14090]	Time 0.775 (0.755)	Data 0.001 (0.004)	Loss 2.9405 (2.8909)	Prec@1 31.250 (31.940)	Prec@5 62.500 (61.802)
Epoch: [4][1140/14090]	Time 0.755 (0.755)	Data 0.001 (0.004)	Loss 3.0855 (2.8920)	Prec@1 27.344 (31.923)	Prec@5 59.375 (61.786)
Epoch: [4][1150/14090]	Time 0.782 (0.755)	Data 0.001 (0.004)	Loss 3.0627 (2.8918)	Prec@1 33.594 (31.929)	Prec@5 60.156 (61.775)
Epoch: [4][1160/14090]	Time 0.753 (0.755)	Data 0.001 (0.004)	Loss 3.2111 (2.8915)	Prec@1 26.562 (31.933)	Prec@5 59.375 (61.781)
Epoch: [4][1170/14090]	Time 0.749 (0.755)	Data 0.001 (0.004)	Loss 2.7713 (2.8910)	Prec@1 35.938 (31.943)	Prec@5 62.500 (61.800)
Epoch: [4][1180/14090]	Time 0.783 (0.755)	Data 0.001 (0.004)	Loss 2.9235 (2.8911)	Prec@1 32.812 (31.935)	Prec@5 61.719 (61.797)
Epoch: [4][1190/14090]	Time 0.736 (0.755)	Data 0.002 (0.004)	Loss 2.6528 (2.8905)	Prec@1 33.594 (31.947)	Prec@5 67.969 (61.821)
Epoch: [4][1200/14090]	Time 0.764 (0.755)	Data 0.001 (0.004)	Loss 2.8113 (2.8911)	Prec@1 35.938 (31.954)	Prec@5 61.719 (61.796)
Epoch: [4][1210/14090]	Time 0.754 (0.754)	Data 0.001 (0.004)	Loss 2.9710 (2.8907)	Prec@1 32.031 (31.965)	Prec@5 61.719 (61.820)
Epoch: [4][1220/14090]	Time 0.740 (0.754)	Data 0.001 (0.004)	Loss 2.9716 (2.8906)	Prec@1 27.344 (31.954)	Prec@5 59.375 (61.822)
Epoch: [4][1230/14090]	Time 0.738 (0.754)	Data 0.001 (0.004)	Loss 3.0983 (2.8906)	Prec@1 28.125 (31.963)	Prec@5 58.594 (61.823)
Epoch: [4][1240/14090]	Time 0.753 (0.754)	Data 0.001 (0.004)	Loss 2.8552 (2.8901)	Prec@1 32.812 (31.974)	Prec@5 64.062 (61.835)
Epoch: [4][1250/14090]	Time 0.756 (0.754)	Data 0.001 (0.004)	Loss 3.1536 (2.8903)	Prec@1 24.219 (31.974)	Prec@5 60.156 (61.827)
Epoch: [4][1260/14090]	Time 0.747 (0.754)	Data 0.002 (0.004)	Loss 2.5235 (2.8897)	Prec@1 38.281 (31.988)	Prec@5 67.969 (61.834)
Epoch: [4][1270/14090]	Time 0.734 (0.754)	Data 0.001 (0.004)	Loss 3.1709 (2.8894)	Prec@1 29.688 (31.981)	Prec@5 60.938 (61.857)
Epoch: [4][1280/14090]	Time 0.731 (0.754)	Data 0.001 (0.004)	Loss 2.7907 (2.8889)	Prec@1 27.344 (31.976)	Prec@5 60.938 (61.865)
Epoch: [4][1290/14090]	Time 0.742 (0.754)	Data 0.001 (0.004)	Loss 2.9193 (2.8895)	Prec@1 32.031 (31.974)	Prec@5 60.156 (61.854)
Epoch: [4][1300/14090]	Time 0.744 (0.754)	Data 0.001 (0.004)	Loss 2.9054 (2.8893)	Prec@1 32.812 (31.972)	Prec@5 61.719 (61.852)
Epoch: [4][1310/14090]	Time 0.757 (0.754)	Data 0.001 (0.004)	Loss 2.5377 (2.8888)	Prec@1 42.188 (31.996)	Prec@5 67.188 (61.865)
Epoch: [4][1320/14090]	Time 0.759 (0.754)	Data 0.001 (0.004)	Loss 3.1932 (2.8897)	Prec@1 25.781 (31.974)	Prec@5 56.250 (61.848)
Epoch: [4][1330/14090]	Time 0.780 (0.755)	Data 0.002 (0.004)	Loss 2.7428 (2.8897)	Prec@1 37.500 (31.982)	Prec@5 62.500 (61.836)
Epoch: [4][1340/14090]	Time 0.728 (0.754)	Data 0.001 (0.004)	Loss 2.8939 (2.8896)	Prec@1 31.250 (31.990)	Prec@5 59.375 (61.826)
Epoch: [4][1350/14090]	Time 0.731 (0.754)	Data 0.001 (0.004)	Loss 3.1060 (2.8896)	Prec@1 26.562 (31.998)	Prec@5 55.469 (61.816)
Epoch: [4][1360/14090]	Time 0.781 (0.754)	Data 0.001 (0.004)	Loss 2.6969 (2.8895)	Prec@1 39.844 (32.007)	Prec@5 65.625 (61.826)
Epoch: [4][1370/14090]	Time 0.769 (0.754)	Data 0.001 (0.004)	Loss 2.8703 (2.8892)	Prec@1 27.344 (32.004)	Prec@5 62.500 (61.836)
Epoch: [4][1380/14090]	Time 0.744 (0.754)	Data 0.001 (0.004)	Loss 2.8674 (2.8895)	Prec@1 32.812 (32.007)	Prec@5 62.500 (61.834)
Epoch: [4][1390/14090]	Time 0.728 (0.754)	Data 0.001 (0.004)	Loss 2.7952 (2.8896)	Prec@1 32.812 (32.010)	Prec@5 65.625 (61.837)
Epoch: [4][1400/14090]	Time 0.748 (0.754)	Data 0.002 (0.004)	Loss 2.8722 (2.8895)	Prec@1 28.906 (32.006)	Prec@5 64.844 (61.846)
Epoch: [4][1410/14090]	Time 0.760 (0.754)	Data 0.001 (0.004)	Loss 2.7924 (2.8899)	Prec@1 30.469 (32.001)	Prec@5 62.500 (61.837)
Epoch: [4][1420/14090]	Time 0.780 (0.754)	Data 0.001 (0.004)	Loss 2.9469 (2.8905)	Prec@1 35.938 (31.992)	Prec@5 64.844 (61.833)
Epoch: [4][1430/14090]	Time 0.796 (0.754)	Data 0.001 (0.004)	Loss 3.0045 (2.8908)	Prec@1 28.906 (31.990)	Prec@5 61.719 (61.834)
Epoch: [4][1440/14090]	Time 0.760 (0.754)	Data 0.001 (0.004)	Loss 2.9929 (2.8914)	Prec@1 27.344 (31.983)	Prec@5 60.938 (61.817)
Epoch: [4][1450/14090]	Time 0.734 (0.754)	Data 0.001 (0.004)	Loss 3.0018 (2.8913)	Prec@1 28.125 (31.990)	Prec@5 60.938 (61.825)
Epoch: [4][1460/14090]	Time 0.774 (0.754)	Data 0.001 (0.004)	Loss 3.0620 (2.8908)	Prec@1 32.812 (32.002)	Prec@5 63.281 (61.839)
Epoch: [4][1470/14090]	Time 0.756 (0.754)	Data 0.002 (0.004)	Loss 2.9317 (2.8904)	Prec@1 34.375 (32.004)	Prec@5 60.938 (61.846)
Epoch: [4][1480/14090]	Time 0.735 (0.754)	Data 0.001 (0.004)	Loss 2.8603 (2.8900)	Prec@1 32.812 (32.000)	Prec@5 62.500 (61.862)
Epoch: [4][1490/14090]	Time 0.753 (0.754)	Data 0.001 (0.004)	Loss 3.0297 (2.8903)	Prec@1 33.594 (31.998)	Prec@5 58.594 (61.850)
Epoch: [4][1500/14090]	Time 0.783 (0.754)	Data 0.001 (0.003)	Loss 2.8515 (2.8896)	Prec@1 38.281 (32.007)	Prec@5 62.500 (61.869)
Epoch: [4][1510/14090]	Time 0.736 (0.754)	Data 0.001 (0.003)	Loss 2.8983 (2.8895)	Prec@1 35.938 (32.016)	Prec@5 58.594 (61.869)
Epoch: [4][1520/14090]	Time 0.727 (0.754)	Data 0.001 (0.003)	Loss 2.8314 (2.8897)	Prec@1 35.938 (32.013)	Prec@5 57.812 (61.862)
Epoch: [4][1530/14090]	Time 0.786 (0.754)	Data 0.001 (0.003)	Loss 2.9799 (2.8894)	Prec@1 32.812 (32.021)	Prec@5 57.031 (61.867)
Epoch: [4][1540/14090]	Time 0.737 (0.754)	Data 0.002 (0.003)	Loss 2.7425 (2.8896)	Prec@1 34.375 (32.020)	Prec@5 67.188 (61.867)
Epoch: [4][1550/14090]	Time 0.749 (0.754)	Data 0.001 (0.003)	Loss 3.0071 (2.8900)	Prec@1 31.250 (32.007)	Prec@5 56.250 (61.853)
Epoch: [4][1560/14090]	Time 0.731 (0.754)	Data 0.001 (0.003)	Loss 3.0972 (2.8902)	Prec@1 32.812 (32.010)	Prec@5 54.688 (61.840)
Epoch: [4][1570/14090]	Time 0.783 (0.754)	Data 0.001 (0.003)	Loss 3.0084 (2.8904)	Prec@1 29.688 (31.985)	Prec@5 60.938 (61.842)
Epoch: [4][1580/14090]	Time 0.754 (0.754)	Data 0.001 (0.003)	Loss 2.9349 (2.8903)	Prec@1 35.156 (31.993)	Prec@5 58.594 (61.835)
Epoch: [4][1590/14090]	Time 0.730 (0.754)	Data 0.001 (0.003)	Loss 3.1454 (2.8907)	Prec@1 30.469 (31.991)	Prec@5 55.469 (61.834)
Epoch: [4][1600/14090]	Time 0.759 (0.754)	Data 0.001 (0.003)	Loss 2.5858 (2.8903)	Prec@1 35.938 (32.000)	Prec@5 66.406 (61.844)
Epoch: [4][1610/14090]	Time 0.732 (0.754)	Data 0.002 (0.003)	Loss 2.7189 (2.8901)	Prec@1 34.375 (31.999)	Prec@5 68.750 (61.855)
Epoch: [4][1620/14090]	Time 0.756 (0.754)	Data 0.001 (0.003)	Loss 2.6452 (2.8902)	Prec@1 36.719 (31.990)	Prec@5 64.062 (61.844)
Epoch: [4][1630/14090]	Time 0.747 (0.754)	Data 0.001 (0.003)	Loss 3.1485 (2.8901)	Prec@1 27.344 (31.993)	Prec@5 57.031 (61.841)
Epoch: [4][1640/14090]	Time 0.754 (0.754)	Data 0.001 (0.003)	Loss 2.9639 (2.8900)	Prec@1 25.000 (31.996)	Prec@5 60.156 (61.842)
Epoch: [4][1650/14090]	Time 0.752 (0.754)	Data 0.001 (0.003)	Loss 2.9235 (2.8897)	Prec@1 26.562 (31.996)	Prec@5 60.156 (61.839)
Epoch: [4][1660/14090]	Time 0.774 (0.754)	Data 0.001 (0.003)	Loss 3.0797 (2.8900)	Prec@1 29.688 (31.988)	Prec@5 60.156 (61.840)
Epoch: [4][1670/14090]	Time 0.744 (0.754)	Data 0.001 (0.003)	Loss 3.0327 (2.8899)	Prec@1 29.688 (31.988)	Prec@5 56.250 (61.833)
Epoch: [4][1680/14090]	Time 0.779 (0.754)	Data 0.003 (0.003)	Loss 2.5915 (2.8900)	Prec@1 35.156 (31.981)	Prec@5 67.969 (61.835)
Epoch: [4][1690/14090]	Time 0.759 (0.754)	Data 0.001 (0.003)	Loss 2.9633 (2.8896)	Prec@1 28.906 (31.985)	Prec@5 61.719 (61.842)
Epoch: [4][1700/14090]	Time 0.737 (0.754)	Data 0.001 (0.003)	Loss 3.0408 (2.8894)	Prec@1 29.688 (31.985)	Prec@5 54.688 (61.850)
Epoch: [4][1710/14090]	Time 0.750 (0.754)	Data 0.001 (0.003)	Loss 2.9465 (2.8896)	Prec@1 28.125 (31.982)	Prec@5 65.625 (61.850)
Epoch: [4][1720/14090]	Time 0.773 (0.754)	Data 0.001 (0.003)	Loss 3.1408 (2.8895)	Prec@1 33.594 (31.990)	Prec@5 57.812 (61.854)
Epoch: [4][1730/14090]	Time 0.744 (0.754)	Data 0.001 (0.003)	Loss 2.8120 (2.8892)	Prec@1 32.031 (31.987)	Prec@5 64.062 (61.855)
Epoch: [4][1740/14090]	Time 0.732 (0.754)	Data 0.001 (0.003)	Loss 3.2569 (2.8892)	Prec@1 24.219 (31.989)	Prec@5 50.781 (61.854)
Epoch: [4][1750/14090]	Time 0.740 (0.754)	Data 0.002 (0.003)	Loss 2.8209 (2.8893)	Prec@1 32.031 (31.988)	Prec@5 59.375 (61.846)
Epoch: [4][1760/14090]	Time 0.762 (0.754)	Data 0.001 (0.003)	Loss 2.9963 (2.8893)	Prec@1 26.562 (31.988)	Prec@5 60.156 (61.845)
Epoch: [4][1770/14090]	Time 0.734 (0.754)	Data 0.001 (0.003)	Loss 2.6513 (2.8891)	Prec@1 37.500 (31.993)	Prec@5 65.625 (61.855)
Epoch: [4][1780/14090]	Time 0.741 (0.754)	Data 0.001 (0.003)	Loss 2.8825 (2.8890)	Prec@1 28.906 (31.993)	Prec@5 63.281 (61.853)
Epoch: [4][1790/14090]	Time 0.736 (0.754)	Data 0.001 (0.003)	Loss 2.8867 (2.8886)	Prec@1 31.250 (31.988)	Prec@5 57.031 (61.856)
Epoch: [4][1800/14090]	Time 0.772 (0.754)	Data 0.001 (0.003)	Loss 2.7593 (2.8886)	Prec@1 33.594 (31.983)	Prec@5 66.406 (61.860)
Epoch: [4][1810/14090]	Time 0.745 (0.754)	Data 0.001 (0.003)	Loss 2.7096 (2.8882)	Prec@1 35.156 (31.991)	Prec@5 66.406 (61.866)
Epoch: [4][1820/14090]	Time 0.754 (0.754)	Data 0.003 (0.003)	Loss 2.8105 (2.8881)	Prec@1 36.719 (31.992)	Prec@5 60.156 (61.864)
Epoch: [4][1830/14090]	Time 0.785 (0.754)	Data 0.001 (0.003)	Loss 2.8217 (2.8882)	Prec@1 30.469 (31.985)	Prec@5 67.188 (61.872)
Epoch: [4][1840/14090]	Time 0.774 (0.754)	Data 0.001 (0.003)	Loss 2.8702 (2.8881)	Prec@1 35.938 (31.997)	Prec@5 60.938 (61.871)
Epoch: [4][1850/14090]	Time 0.752 (0.754)	Data 0.001 (0.003)	Loss 3.3047 (2.8879)	Prec@1 25.781 (32.005)	Prec@5 53.125 (61.871)
Epoch: [4][1860/14090]	Time 0.752 (0.754)	Data 0.001 (0.003)	Loss 2.6297 (2.8873)	Prec@1 39.844 (32.014)	Prec@5 67.188 (61.885)
Epoch: [4][1870/14090]	Time 0.744 (0.754)	Data 0.002 (0.003)	Loss 3.3363 (2.8869)	Prec@1 24.219 (32.007)	Prec@5 54.688 (61.900)
Epoch: [4][1880/14090]	Time 0.747 (0.754)	Data 0.001 (0.003)	Loss 2.9710 (2.8870)	Prec@1 34.375 (32.019)	Prec@5 56.250 (61.901)
Epoch: [4][1890/14090]	Time 0.776 (0.754)	Data 0.002 (0.003)	Loss 3.1128 (2.8877)	Prec@1 30.469 (32.011)	Prec@5 59.375 (61.887)
Epoch: [4][1900/14090]	Time 0.728 (0.753)	Data 0.001 (0.003)	Loss 2.8320 (2.8874)	Prec@1 31.250 (32.016)	Prec@5 62.500 (61.897)
Epoch: [4][1910/14090]	Time 0.776 (0.753)	Data 0.001 (0.003)	Loss 2.7306 (2.8877)	Prec@1 30.469 (32.008)	Prec@5 66.406 (61.891)
Epoch: [4][1920/14090]	Time 0.739 (0.753)	Data 0.001 (0.003)	Loss 2.8559 (2.8881)	Prec@1 39.062 (31.998)	Prec@5 64.844 (61.894)
Epoch: [4][1930/14090]	Time 0.765 (0.753)	Data 0.001 (0.003)	Loss 2.6861 (2.8876)	Prec@1 34.375 (32.005)	Prec@5 64.844 (61.904)
Epoch: [4][1940/14090]	Time 0.779 (0.753)	Data 0.001 (0.003)	Loss 2.6790 (2.8879)	Prec@1 34.375 (32.011)	Prec@5 64.844 (61.901)
Epoch: [4][1950/14090]	Time 0.741 (0.753)	Data 0.001 (0.003)	Loss 2.8448 (2.8883)	Prec@1 35.156 (32.004)	Prec@5 64.062 (61.900)
Epoch: [4][1960/14090]	Time 0.761 (0.753)	Data 0.002 (0.003)	Loss 2.8728 (2.8881)	Prec@1 36.719 (32.001)	Prec@5 62.500 (61.907)
Epoch: [4][1970/14090]	Time 0.776 (0.753)	Data 0.001 (0.003)	Loss 2.8173 (2.8882)	Prec@1 32.812 (31.997)	Prec@5 60.156 (61.903)
Epoch: [4][1980/14090]	Time 0.739 (0.753)	Data 0.001 (0.003)	Loss 2.9089 (2.8879)	Prec@1 35.938 (32.012)	Prec@5 63.281 (61.915)
Epoch: [4][1990/14090]	Time 0.741 (0.753)	Data 0.001 (0.003)	Loss 3.1047 (2.8878)	Prec@1 21.875 (32.010)	Prec@5 59.375 (61.917)
Epoch: [4][2000/14090]	Time 0.760 (0.753)	Data 0.001 (0.003)	Loss 3.0179 (2.8874)	Prec@1 27.344 (32.012)	Prec@5 60.938 (61.922)
Epoch: [4][2010/14090]	Time 0.771 (0.753)	Data 0.001 (0.003)	Loss 3.0675 (2.8879)	Prec@1 28.906 (32.003)	Prec@5 55.469 (61.915)
Epoch: [4][2020/14090]	Time 0.774 (0.753)	Data 0.001 (0.003)	Loss 2.8388 (2.8879)	Prec@1 32.812 (32.008)	Prec@5 66.406 (61.914)
Epoch: [4][2030/14090]	Time 0.747 (0.753)	Data 0.002 (0.003)	Loss 2.9649 (2.8879)	Prec@1 26.562 (32.002)	Prec@5 57.031 (61.909)
Epoch: [4][2040/14090]	Time 0.733 (0.753)	Data 0.001 (0.003)	Loss 2.9271 (2.8876)	Prec@1 34.375 (32.010)	Prec@5 63.281 (61.922)
Epoch: [4][2050/14090]	Time 0.743 (0.753)	Data 0.001 (0.003)	Loss 3.1077 (2.8880)	Prec@1 28.906 (32.003)	Prec@5 59.375 (61.919)
Epoch: [4][2060/14090]	Time 0.760 (0.753)	Data 0.001 (0.003)	Loss 2.7867 (2.8879)	Prec@1 37.500 (32.000)	Prec@5 62.500 (61.920)
Epoch: [4][2070/14090]	Time 0.733 (0.753)	Data 0.001 (0.003)	Loss 3.0327 (2.8878)	Prec@1 27.344 (31.998)	Prec@5 60.938 (61.921)
Epoch: [4][2080/14090]	Time 0.734 (0.753)	Data 0.001 (0.003)	Loss 2.7305 (2.8880)	Prec@1 30.469 (31.986)	Prec@5 64.844 (61.914)
Epoch: [4][2090/14090]	Time 0.747 (0.753)	Data 0.001 (0.003)	Loss 2.9108 (2.8883)	Prec@1 30.469 (31.980)	Prec@5 60.156 (61.906)
Epoch: [4][2100/14090]	Time 0.737 (0.753)	Data 0.002 (0.003)	Loss 2.7907 (2.8884)	Prec@1 37.500 (31.981)	Prec@5 60.156 (61.902)
Epoch: [4][2110/14090]	Time 0.761 (0.753)	Data 0.001 (0.003)	Loss 2.9884 (2.8881)	Prec@1 33.594 (31.988)	Prec@5 57.812 (61.902)
Epoch: [4][2120/14090]	Time 0.747 (0.753)	Data 0.001 (0.003)	Loss 2.8308 (2.8883)	Prec@1 29.688 (31.980)	Prec@5 63.281 (61.899)
Epoch: [4][2130/14090]	Time 0.733 (0.753)	Data 0.001 (0.003)	Loss 2.7186 (2.8880)	Prec@1 32.031 (31.982)	Prec@5 66.406 (61.909)
Epoch: [4][2140/14090]	Time 0.723 (0.753)	Data 0.001 (0.003)	Loss 2.8819 (2.8883)	Prec@1 30.469 (31.978)	Prec@5 60.156 (61.895)
Epoch: [4][2150/14090]	Time 0.781 (0.753)	Data 0.001 (0.003)	Loss 3.0180 (2.8883)	Prec@1 29.688 (31.977)	Prec@5 59.375 (61.892)
Epoch: [4][2160/14090]	Time 0.771 (0.753)	Data 0.001 (0.003)	Loss 3.2378 (2.8886)	Prec@1 22.656 (31.970)	Prec@5 54.688 (61.893)
Epoch: [4][2170/14090]	Time 0.739 (0.753)	Data 0.002 (0.003)	Loss 2.7610 (2.8883)	Prec@1 34.375 (31.979)	Prec@5 66.406 (61.899)
Epoch: [4][2180/14090]	Time 0.755 (0.753)	Data 0.001 (0.003)	Loss 3.2988 (2.8886)	Prec@1 26.562 (31.974)	Prec@5 56.250 (61.896)
Epoch: [4][2190/14090]	Time 0.748 (0.753)	Data 0.001 (0.003)	Loss 3.0193 (2.8890)	Prec@1 32.031 (31.975)	Prec@5 61.719 (61.892)
Epoch: [4][2200/14090]	Time 0.770 (0.753)	Data 0.001 (0.003)	Loss 2.8506 (2.8889)	Prec@1 28.125 (31.977)	Prec@5 60.938 (61.888)
Epoch: [4][2210/14090]	Time 0.739 (0.753)	Data 0.001 (0.003)	Loss 3.2660 (2.8894)	Prec@1 23.438 (31.976)	Prec@5 54.688 (61.880)
Epoch: [4][2220/14090]	Time 0.733 (0.753)	Data 0.001 (0.003)	Loss 3.0195 (2.8894)	Prec@1 31.250 (31.978)	Prec@5 64.844 (61.879)
Epoch: [4][2230/14090]	Time 0.746 (0.753)	Data 0.001 (0.003)	Loss 2.7628 (2.8891)	Prec@1 37.500 (31.979)	Prec@5 62.500 (61.885)
Epoch: [4][2240/14090]	Time 0.750 (0.753)	Data 0.003 (0.003)	Loss 2.7822 (2.8887)	Prec@1 36.719 (31.979)	Prec@5 65.625 (61.891)
Epoch: [4][2250/14090]	Time 0.739 (0.753)	Data 0.001 (0.003)	Loss 2.5398 (2.8889)	Prec@1 38.281 (31.975)	Prec@5 67.969 (61.894)
Epoch: [4][2260/14090]	Time 0.738 (0.753)	Data 0.001 (0.003)	Loss 2.8854 (2.8886)	Prec@1 31.250 (31.983)	Prec@5 62.500 (61.897)
Epoch: [4][2270/14090]	Time 0.732 (0.753)	Data 0.001 (0.003)	Loss 2.8726 (2.8883)	Prec@1 33.594 (31.983)	Prec@5 64.844 (61.904)
Epoch: [4][2280/14090]	Time 0.778 (0.753)	Data 0.001 (0.003)	Loss 3.0650 (2.8882)	Prec@1 28.906 (31.982)	Prec@5 60.156 (61.907)
Epoch: [4][2290/14090]	Time 0.738 (0.753)	Data 0.001 (0.003)	Loss 2.7961 (2.8883)	Prec@1 37.500 (31.985)	Prec@5 60.938 (61.897)
Epoch: [4][2300/14090]	Time 0.776 (0.753)	Data 0.001 (0.003)	Loss 3.1704 (2.8882)	Prec@1 27.344 (31.982)	Prec@5 54.688 (61.894)
Epoch: [4][2310/14090]	Time 0.773 (0.753)	Data 0.002 (0.003)	Loss 2.8850 (2.8886)	Prec@1 28.906 (31.972)	Prec@5 57.812 (61.886)
Epoch: [4][2320/14090]	Time 0.760 (0.753)	Data 0.001 (0.003)	Loss 2.9287 (2.8888)	Prec@1 32.031 (31.973)	Prec@5 59.375 (61.888)
Epoch: [4][2330/14090]	Time 0.740 (0.753)	Data 0.001 (0.003)	Loss 2.5889 (2.8884)	Prec@1 40.625 (31.983)	Prec@5 67.969 (61.894)
Epoch: [4][2340/14090]	Time 0.728 (0.753)	Data 0.001 (0.003)	Loss 3.0081 (2.8882)	Prec@1 29.688 (31.981)	Prec@5 57.812 (61.897)
Epoch: [4][2350/14090]	Time 0.735 (0.753)	Data 0.001 (0.003)	Loss 2.8657 (2.8881)	Prec@1 31.250 (31.982)	Prec@5 63.281 (61.902)
Epoch: [4][2360/14090]	Time 0.745 (0.753)	Data 0.001 (0.003)	Loss 2.9329 (2.8883)	Prec@1 29.688 (31.979)	Prec@5 61.719 (61.899)
Epoch: [4][2370/14090]	Time 0.741 (0.753)	Data 0.001 (0.003)	Loss 2.9025 (2.8881)	Prec@1 32.812 (31.981)	Prec@5 58.594 (61.903)
Epoch: [4][2380/14090]	Time 0.767 (0.753)	Data 0.003 (0.003)	Loss 2.6585 (2.8880)	Prec@1 40.625 (31.989)	Prec@5 61.719 (61.904)
Epoch: [4][2390/14090]	Time 0.776 (0.753)	Data 0.001 (0.003)	Loss 2.6721 (2.8880)	Prec@1 34.375 (31.997)	Prec@5 64.062 (61.902)
Epoch: [4][2400/14090]	Time 0.735 (0.753)	Data 0.001 (0.003)	Loss 3.0575 (2.8884)	Prec@1 26.562 (31.992)	Prec@5 58.594 (61.896)
Epoch: [4][2410/14090]	Time 0.759 (0.753)	Data 0.001 (0.003)	Loss 2.8921 (2.8883)	Prec@1 30.469 (31.991)	Prec@5 62.500 (61.902)
Epoch: [4][2420/14090]	Time 0.765 (0.753)	Data 0.001 (0.003)	Loss 3.1267 (2.8886)	Prec@1 25.781 (31.988)	Prec@5 55.469 (61.888)
Epoch: [4][2430/14090]	Time 0.739 (0.753)	Data 0.001 (0.003)	Loss 2.9349 (2.8885)	Prec@1 28.125 (31.991)	Prec@5 62.500 (61.888)
Epoch: [4][2440/14090]	Time 0.732 (0.753)	Data 0.001 (0.003)	Loss 3.0374 (2.8889)	Prec@1 29.688 (31.988)	Prec@5 60.156 (61.878)
Epoch: [4][2450/14090]	Time 0.721 (0.753)	Data 0.002 (0.003)	Loss 3.0912 (2.8889)	Prec@1 28.125 (31.993)	Prec@5 57.031 (61.879)
Epoch: [4][2460/14090]	Time 0.727 (0.753)	Data 0.001 (0.002)	Loss 2.8577 (2.8890)	Prec@1 29.688 (31.993)	Prec@5 60.938 (61.877)
Epoch: [4][2470/14090]	Time 0.758 (0.753)	Data 0.001 (0.002)	Loss 2.9168 (2.8893)	Prec@1 26.562 (31.990)	Prec@5 57.812 (61.871)
Epoch: [4][2480/14090]	Time 0.783 (0.753)	Data 0.001 (0.002)	Loss 3.0592 (2.8894)	Prec@1 22.656 (31.982)	Prec@5 63.281 (61.872)
Epoch: [4][2490/14090]	Time 0.755 (0.753)	Data 0.001 (0.002)	Loss 2.6103 (2.8896)	Prec@1 32.812 (31.975)	Prec@5 67.188 (61.872)
Epoch: [4][2500/14090]	Time 0.725 (0.753)	Data 0.001 (0.002)	Loss 2.7088 (2.8892)	Prec@1 33.594 (31.983)	Prec@5 62.500 (61.878)
Epoch: [4][2510/14090]	Time 0.761 (0.753)	Data 0.001 (0.002)	Loss 2.8219 (2.8891)	Prec@1 29.688 (31.985)	Prec@5 64.062 (61.882)
Epoch: [4][2520/14090]	Time 0.737 (0.753)	Data 0.002 (0.002)	Loss 3.2615 (2.8885)	Prec@1 27.344 (31.997)	Prec@5 54.688 (61.895)
Epoch: [4][2530/14090]	Time 0.748 (0.753)	Data 0.001 (0.002)	Loss 2.8305 (2.8884)	Prec@1 33.594 (32.002)	Prec@5 67.188 (61.894)
Epoch: [4][2540/14090]	Time 0.772 (0.753)	Data 0.001 (0.002)	Loss 2.6047 (2.8881)	Prec@1 35.156 (32.009)	Prec@5 68.750 (61.902)
Epoch: [4][2550/14090]	Time 0.763 (0.753)	Data 0.001 (0.002)	Loss 2.9390 (2.8882)	Prec@1 35.156 (32.007)	Prec@5 59.375 (61.900)
Epoch: [4][2560/14090]	Time 0.739 (0.753)	Data 0.001 (0.002)	Loss 3.1429 (2.8880)	Prec@1 25.000 (32.020)	Prec@5 54.688 (61.900)
Epoch: [4][2570/14090]	Time 0.750 (0.753)	Data 0.001 (0.002)	Loss 2.5140 (2.8875)	Prec@1 36.719 (32.033)	Prec@5 72.656 (61.911)
Epoch: [4][2580/14090]	Time 0.732 (0.753)	Data 0.001 (0.002)	Loss 2.8318 (2.8874)	Prec@1 33.594 (32.035)	Prec@5 60.156 (61.911)
Epoch: [4][2590/14090]	Time 0.784 (0.753)	Data 0.002 (0.002)	Loss 2.8318 (2.8873)	Prec@1 33.594 (32.039)	Prec@5 59.375 (61.912)
Epoch: [4][2600/14090]	Time 0.755 (0.753)	Data 0.001 (0.002)	Loss 2.9344 (2.8869)	Prec@1 34.375 (32.050)	Prec@5 64.062 (61.923)
Epoch: [4][2610/14090]	Time 0.762 (0.753)	Data 0.001 (0.002)	Loss 3.1106 (2.8867)	Prec@1 32.031 (32.052)	Prec@5 53.125 (61.923)
Epoch: [4][2620/14090]	Time 0.736 (0.753)	Data 0.001 (0.002)	Loss 3.0766 (2.8870)	Prec@1 35.938 (32.051)	Prec@5 59.375 (61.912)
Epoch: [4][2630/14090]	Time 0.776 (0.753)	Data 0.001 (0.002)	Loss 3.1157 (2.8872)	Prec@1 28.125 (32.045)	Prec@5 59.375 (61.911)
Epoch: [4][2640/14090]	Time 0.755 (0.753)	Data 0.001 (0.002)	Loss 2.7433 (2.8867)	Prec@1 38.281 (32.058)	Prec@5 62.500 (61.919)
Epoch: [4][2650/14090]	Time 0.769 (0.753)	Data 0.001 (0.002)	Loss 2.8630 (2.8867)	Prec@1 33.594 (32.061)	Prec@5 64.062 (61.916)
Epoch: [4][2660/14090]	Time 0.741 (0.753)	Data 0.002 (0.002)	Loss 3.0332 (2.8867)	Prec@1 27.344 (32.059)	Prec@5 61.719 (61.918)
Epoch: [4][2670/14090]	Time 0.756 (0.753)	Data 0.001 (0.002)	Loss 2.9387 (2.8868)	Prec@1 33.594 (32.056)	Prec@5 58.594 (61.914)
Epoch: [4][2680/14090]	Time 0.774 (0.753)	Data 0.001 (0.002)	Loss 2.9204 (2.8865)	Prec@1 37.500 (32.064)	Prec@5 62.500 (61.928)
Epoch: [4][2690/14090]	Time 0.728 (0.753)	Data 0.001 (0.002)	Loss 2.5371 (2.8860)	Prec@1 36.719 (32.071)	Prec@5 69.531 (61.935)
Epoch: [4][2700/14090]	Time 0.755 (0.753)	Data 0.001 (0.002)	Loss 2.8716 (2.8857)	Prec@1 25.000 (32.084)	Prec@5 61.719 (61.943)
Epoch: [4][2710/14090]	Time 0.743 (0.753)	Data 0.001 (0.002)	Loss 2.8214 (2.8855)	Prec@1 39.062 (32.083)	Prec@5 64.844 (61.949)
Epoch: [4][2720/14090]	Time 0.768 (0.753)	Data 0.001 (0.002)	Loss 2.6975 (2.8851)	Prec@1 34.375 (32.094)	Prec@5 71.875 (61.961)
Epoch: [4][2730/14090]	Time 0.743 (0.753)	Data 0.002 (0.002)	Loss 2.9423 (2.8849)	Prec@1 26.562 (32.099)	Prec@5 58.594 (61.962)
Epoch: [4][2740/14090]	Time 0.756 (0.753)	Data 0.001 (0.002)	Loss 2.7145 (2.8852)	Prec@1 35.156 (32.091)	Prec@5 70.312 (61.954)
Epoch: [4][2750/14090]	Time 0.779 (0.753)	Data 0.002 (0.002)	Loss 2.7287 (2.8851)	Prec@1 30.469 (32.091)	Prec@5 60.938 (61.957)
Epoch: [4][2760/14090]	Time 0.746 (0.753)	Data 0.001 (0.002)	Loss 2.5517 (2.8852)	Prec@1 35.938 (32.089)	Prec@5 69.531 (61.958)
Epoch: [4][2770/14090]	Time 0.780 (0.753)	Data 0.001 (0.002)	Loss 2.9117 (2.8853)	Prec@1 35.156 (32.091)	Prec@5 60.156 (61.959)
Epoch: [4][2780/14090]	Time 0.730 (0.753)	Data 0.001 (0.002)	Loss 3.1043 (2.8855)	Prec@1 32.031 (32.089)	Prec@5 60.156 (61.947)
Epoch: [4][2790/14090]	Time 0.751 (0.753)	Data 0.001 (0.002)	Loss 2.7909 (2.8852)	Prec@1 32.812 (32.099)	Prec@5 64.844 (61.957)
Epoch: [4][2800/14090]	Time 0.734 (0.753)	Data 0.002 (0.002)	Loss 2.7455 (2.8848)	Prec@1 32.812 (32.098)	Prec@5 70.312 (61.962)
Epoch: [4][2810/14090]	Time 0.748 (0.753)	Data 0.001 (0.002)	Loss 2.7196 (2.8846)	Prec@1 40.625 (32.107)	Prec@5 63.281 (61.965)
Epoch: [4][2820/14090]	Time 0.748 (0.753)	Data 0.001 (0.002)	Loss 2.8690 (2.8844)	Prec@1 35.156 (32.112)	Prec@5 60.938 (61.961)
Epoch: [4][2830/14090]	Time 0.742 (0.753)	Data 0.001 (0.002)	Loss 2.8178 (2.8841)	Prec@1 32.031 (32.119)	Prec@5 66.406 (61.972)
Epoch: [4][2840/14090]	Time 0.762 (0.753)	Data 0.001 (0.002)	Loss 2.7752 (2.8844)	Prec@1 35.156 (32.111)	Prec@5 61.719 (61.964)
Epoch: [4][2850/14090]	Time 0.765 (0.753)	Data 0.001 (0.002)	Loss 3.1118 (2.8845)	Prec@1 28.906 (32.113)	Prec@5 59.375 (61.960)
Epoch: [4][2860/14090]	Time 0.779 (0.753)	Data 0.001 (0.002)	Loss 2.7711 (2.8842)	Prec@1 32.812 (32.119)	Prec@5 60.156 (61.963)
Epoch: [4][2870/14090]	Time 0.773 (0.753)	Data 0.002 (0.002)	Loss 3.0773 (2.8844)	Prec@1 25.781 (32.119)	Prec@5 53.125 (61.964)
Epoch: [4][2880/14090]	Time 0.752 (0.753)	Data 0.001 (0.002)	Loss 2.5779 (2.8842)	Prec@1 40.625 (32.121)	Prec@5 67.188 (61.967)
Epoch: [4][2890/14090]	Time 0.753 (0.753)	Data 0.001 (0.002)	Loss 2.9646 (2.8846)	Prec@1 23.438 (32.114)	Prec@5 60.938 (61.962)
Epoch: [4][2900/14090]	Time 0.747 (0.753)	Data 0.001 (0.002)	Loss 3.0012 (2.8842)	Prec@1 31.250 (32.121)	Prec@5 62.500 (61.974)
Epoch: [4][2910/14090]	Time 0.758 (0.753)	Data 0.001 (0.002)	Loss 3.0154 (2.8843)	Prec@1 32.812 (32.128)	Prec@5 57.031 (61.972)
Epoch: [4][2920/14090]	Time 0.754 (0.753)	Data 0.001 (0.002)	Loss 3.1075 (2.8844)	Prec@1 22.656 (32.124)	Prec@5 58.594 (61.971)
Epoch: [4][2930/14090]	Time 0.734 (0.753)	Data 0.001 (0.002)	Loss 2.9911 (2.8842)	Prec@1 30.469 (32.127)	Prec@5 64.062 (61.980)
Epoch: [4][2940/14090]	Time 0.729 (0.753)	Data 0.002 (0.002)	Loss 3.0410 (2.8842)	Prec@1 30.469 (32.122)	Prec@5 55.469 (61.981)
Epoch: [4][2950/14090]	Time 0.763 (0.753)	Data 0.001 (0.002)	Loss 2.7642 (2.8841)	Prec@1 39.844 (32.127)	Prec@5 68.750 (61.982)
Epoch: [4][2960/14090]	Time 0.763 (0.753)	Data 0.001 (0.002)	Loss 2.7038 (2.8837)	Prec@1 35.156 (32.134)	Prec@5 65.625 (61.991)
Epoch: [4][2970/14090]	Time 0.768 (0.753)	Data 0.001 (0.002)	Loss 2.7492 (2.8837)	Prec@1 38.281 (32.137)	Prec@5 64.844 (61.991)
Epoch: [4][2980/14090]	Time 0.749 (0.753)	Data 0.001 (0.002)	Loss 2.7953 (2.8835)	Prec@1 36.719 (32.141)	Prec@5 61.719 (61.995)
Epoch: [4][2990/14090]	Time 0.745 (0.753)	Data 0.002 (0.002)	Loss 2.7153 (2.8836)	Prec@1 28.125 (32.135)	Prec@5 67.188 (61.998)
Epoch: [4][3000/14090]	Time 0.754 (0.753)	Data 0.001 (0.002)	Loss 2.8405 (2.8834)	Prec@1 31.250 (32.133)	Prec@5 60.156 (62.003)
Epoch: [4][3010/14090]	Time 0.761 (0.753)	Data 0.002 (0.002)	Loss 2.6453 (2.8833)	Prec@1 34.375 (32.133)	Prec@5 65.625 (62.002)
Epoch: [4][3020/14090]	Time 0.734 (0.753)	Data 0.001 (0.002)	Loss 3.4371 (2.8833)	Prec@1 21.094 (32.133)	Prec@5 50.000 (62.002)
Epoch: [4][3030/14090]	Time 0.780 (0.753)	Data 0.001 (0.002)	Loss 3.1839 (2.8834)	Prec@1 30.469 (32.130)	Prec@5 57.812 (61.995)
Epoch: [4][3040/14090]	Time 0.733 (0.753)	Data 0.001 (0.002)	Loss 3.3859 (2.8837)	Prec@1 21.094 (32.129)	Prec@5 54.688 (61.992)
Epoch: [4][3050/14090]	Time 0.755 (0.753)	Data 0.001 (0.002)	Loss 3.0307 (2.8838)	Prec@1 24.219 (32.125)	Prec@5 57.031 (61.989)
Epoch: [4][3060/14090]	Time 0.740 (0.753)	Data 0.001 (0.002)	Loss 2.7451 (2.8837)	Prec@1 33.594 (32.124)	Prec@5 64.844 (61.995)
Epoch: [4][3070/14090]	Time 0.779 (0.753)	Data 0.001 (0.002)	Loss 2.9089 (2.8839)	Prec@1 26.562 (32.116)	Prec@5 60.938 (61.990)
Epoch: [4][3080/14090]	Time 0.745 (0.753)	Data 0.002 (0.002)	Loss 3.1748 (2.8843)	Prec@1 25.000 (32.114)	Prec@5 54.688 (61.982)
Epoch: [4][3090/14090]	Time 0.784 (0.753)	Data 0.001 (0.002)	Loss 2.6780 (2.8843)	Prec@1 37.500 (32.115)	Prec@5 68.750 (61.980)
Epoch: [4][3100/14090]	Time 0.768 (0.753)	Data 0.001 (0.002)	Loss 2.7281 (2.8839)	Prec@1 42.969 (32.126)	Prec@5 64.844 (61.991)
Epoch: [4][3110/14090]	Time 0.745 (0.753)	Data 0.001 (0.002)	Loss 2.8805 (2.8838)	Prec@1 31.250 (32.126)	Prec@5 60.156 (61.994)
Epoch: [4][3120/14090]	Time 0.731 (0.753)	Data 0.001 (0.002)	Loss 3.0442 (2.8835)	Prec@1 32.812 (32.131)	Prec@5 57.812 (62.000)
Epoch: [4][3130/14090]	Time 0.732 (0.753)	Data 0.001 (0.002)	Loss 3.0242 (2.8836)	Prec@1 26.562 (32.126)	Prec@5 55.469 (61.994)
Epoch: [4][3140/14090]	Time 0.761 (0.753)	Data 0.001 (0.002)	Loss 2.8198 (2.8839)	Prec@1 35.156 (32.121)	Prec@5 60.938 (61.990)
Epoch: [4][3150/14090]	Time 0.743 (0.753)	Data 0.002 (0.002)	Loss 2.8600 (2.8837)	Prec@1 34.375 (32.127)	Prec@5 60.156 (61.993)
Epoch: [4][3160/14090]	Time 0.757 (0.753)	Data 0.001 (0.002)	Loss 3.1672 (2.8839)	Prec@1 33.594 (32.131)	Prec@5 57.812 (61.990)
Epoch: [4][3170/14090]	Time 0.750 (0.753)	Data 0.001 (0.002)	Loss 2.7084 (2.8840)	Prec@1 32.031 (32.122)	Prec@5 64.844 (61.988)
Epoch: [4][3180/14090]	Time 0.751 (0.753)	Data 0.001 (0.002)	Loss 3.0401 (2.8840)	Prec@1 26.562 (32.119)	Prec@5 56.250 (61.988)
Epoch: [4][3190/14090]	Time 0.743 (0.753)	Data 0.001 (0.002)	Loss 2.7741 (2.8836)	Prec@1 32.812 (32.124)	Prec@5 67.188 (61.997)
Epoch: [4][3200/14090]	Time 0.754 (0.753)	Data 0.001 (0.002)	Loss 3.1211 (2.8839)	Prec@1 28.125 (32.119)	Prec@5 58.594 (61.997)
Epoch: [4][3210/14090]	Time 0.759 (0.753)	Data 0.001 (0.002)	Loss 2.7064 (2.8839)	Prec@1 36.719 (32.115)	Prec@5 67.188 (61.999)
Epoch: [4][3220/14090]	Time 0.745 (0.753)	Data 0.002 (0.002)	Loss 2.5203 (2.8842)	Prec@1 40.625 (32.107)	Prec@5 71.094 (61.995)
Epoch: [4][3230/14090]	Time 0.734 (0.753)	Data 0.001 (0.002)	Loss 3.0609 (2.8841)	Prec@1 32.031 (32.104)	Prec@5 60.938 (61.997)
Epoch: [4][3240/14090]	Time 0.786 (0.753)	Data 0.001 (0.002)	Loss 2.9152 (2.8840)	Prec@1 34.375 (32.109)	Prec@5 61.719 (62.001)
Epoch: [4][3250/14090]	Time 0.768 (0.753)	Data 0.001 (0.002)	Loss 2.8128 (2.8842)	Prec@1 36.719 (32.114)	Prec@5 63.281 (61.997)
Epoch: [4][3260/14090]	Time 0.752 (0.753)	Data 0.001 (0.002)	Loss 2.9789 (2.8842)	Prec@1 29.688 (32.112)	Prec@5 57.812 (62.002)
Epoch: [4][3270/14090]	Time 0.753 (0.753)	Data 0.001 (0.002)	Loss 2.6933 (2.8841)	Prec@1 32.812 (32.116)	Prec@5 67.969 (62.007)
Epoch: [4][3280/14090]	Time 0.754 (0.753)	Data 0.001 (0.002)	Loss 3.0425 (2.8843)	Prec@1 28.906 (32.115)	Prec@5 58.594 (62.006)
Epoch: [4][3290/14090]	Time 0.746 (0.753)	Data 0.002 (0.002)	Loss 3.2048 (2.8842)	Prec@1 29.688 (32.113)	Prec@5 53.906 (62.007)
Epoch: [4][3300/14090]	Time 0.748 (0.753)	Data 0.001 (0.002)	Loss 2.7543 (2.8840)	Prec@1 33.594 (32.117)	Prec@5 67.188 (62.011)
Epoch: [4][3310/14090]	Time 0.760 (0.753)	Data 0.001 (0.002)	Loss 2.8339 (2.8841)	Prec@1 35.938 (32.123)	Prec@5 61.719 (62.012)
Epoch: [4][3320/14090]	Time 0.735 (0.753)	Data 0.001 (0.002)	Loss 2.9429 (2.8841)	Prec@1 28.906 (32.123)	Prec@5 61.719 (62.013)
Epoch: [4][3330/14090]	Time 0.757 (0.753)	Data 0.001 (0.002)	Loss 2.7579 (2.8842)	Prec@1 36.719 (32.127)	Prec@5 66.406 (62.009)
Epoch: [4][3340/14090]	Time 0.726 (0.753)	Data 0.001 (0.002)	Loss 2.8599 (2.8844)	Prec@1 34.375 (32.130)	Prec@5 57.812 (62.007)
Epoch: [4][3350/14090]	Time 0.745 (0.753)	Data 0.001 (0.002)	Loss 2.9394 (2.8844)	Prec@1 28.906 (32.127)	Prec@5 63.281 (62.007)
Epoch: [4][3360/14090]	Time 0.749 (0.753)	Data 0.002 (0.002)	Loss 3.0223 (2.8844)	Prec@1 25.000 (32.124)	Prec@5 57.812 (62.011)
Epoch: [4][3370/14090]	Time 0.758 (0.753)	Data 0.001 (0.002)	Loss 2.8329 (2.8844)	Prec@1 36.719 (32.127)	Prec@5 60.938 (62.014)
Epoch: [4][3380/14090]	Time 0.763 (0.753)	Data 0.001 (0.002)	Loss 2.9500 (2.8844)	Prec@1 34.375 (32.123)	Prec@5 64.062 (62.012)
Epoch: [4][3390/14090]	Time 0.763 (0.753)	Data 0.001 (0.002)	Loss 2.6330 (2.8844)	Prec@1 37.500 (32.120)	Prec@5 69.531 (62.011)
Epoch: [4][3400/14090]	Time 0.732 (0.753)	Data 0.001 (0.002)	Loss 3.0012 (2.8845)	Prec@1 25.781 (32.118)	Prec@5 62.500 (62.008)
Epoch: [4][3410/14090]	Time 0.760 (0.753)	Data 0.001 (0.002)	Loss 2.6262 (2.8843)	Prec@1 37.500 (32.123)	Prec@5 68.750 (62.014)
Epoch: [4][3420/14090]	Time 0.762 (0.753)	Data 0.001 (0.002)	Loss 2.7624 (2.8844)	Prec@1 35.156 (32.124)	Prec@5 66.406 (62.010)
Epoch: [4][3430/14090]	Time 0.733 (0.753)	Data 0.002 (0.002)	Loss 2.9714 (2.8844)	Prec@1 35.938 (32.127)	Prec@5 61.719 (62.011)
Epoch: [4][3440/14090]	Time 0.762 (0.753)	Data 0.001 (0.002)	Loss 3.3739 (2.8849)	Prec@1 28.906 (32.117)	Prec@5 53.906 (61.999)
Epoch: [4][3450/14090]	Time 0.758 (0.753)	Data 0.001 (0.002)	Loss 3.1516 (2.8849)	Prec@1 24.219 (32.115)	Prec@5 54.688 (61.996)
Epoch: [4][3460/14090]	Time 0.744 (0.753)	Data 0.001 (0.002)	Loss 2.7807 (2.8849)	Prec@1 32.812 (32.117)	Prec@5 68.750 (61.992)
Epoch: [4][3470/14090]	Time 0.756 (0.753)	Data 0.001 (0.002)	Loss 3.1664 (2.8849)	Prec@1 28.906 (32.123)	Prec@5 53.906 (61.993)
Epoch: [4][3480/14090]	Time 0.763 (0.753)	Data 0.001 (0.002)	Loss 2.9072 (2.8850)	Prec@1 28.906 (32.122)	Prec@5 64.062 (61.993)
Epoch: [4][3490/14090]	Time 0.759 (0.753)	Data 0.001 (0.002)	Loss 2.4763 (2.8847)	Prec@1 35.938 (32.126)	Prec@5 70.312 (61.997)
Epoch: [4][3500/14090]	Time 0.727 (0.753)	Data 0.002 (0.002)	Loss 2.9735 (2.8844)	Prec@1 33.594 (32.132)	Prec@5 64.062 (62.004)
Epoch: [4][3510/14090]	Time 0.763 (0.753)	Data 0.001 (0.002)	Loss 2.5587 (2.8843)	Prec@1 38.281 (32.133)	Prec@5 69.531 (62.001)
Epoch: [4][3520/14090]	Time 0.741 (0.753)	Data 0.001 (0.002)	Loss 2.8629 (2.8842)	Prec@1 32.812 (32.135)	Prec@5 64.844 (61.999)
Epoch: [4][3530/14090]	Time 0.735 (0.753)	Data 0.001 (0.002)	Loss 3.0130 (2.8840)	Prec@1 29.688 (32.140)	Prec@5 59.375 (62.002)
Epoch: [4][3540/14090]	Time 0.737 (0.753)	Data 0.001 (0.002)	Loss 2.5911 (2.8840)	Prec@1 35.156 (32.138)	Prec@5 69.531 (62.004)
Epoch: [4][3550/14090]	Time 0.746 (0.753)	Data 0.001 (0.002)	Loss 2.9190 (2.8839)	Prec@1 31.250 (32.141)	Prec@5 60.938 (62.005)
Epoch: [4][3560/14090]	Time 0.736 (0.753)	Data 0.001 (0.002)	Loss 3.1343 (2.8838)	Prec@1 29.688 (32.144)	Prec@5 55.469 (62.005)
Epoch: [4][3570/14090]	Time 0.785 (0.753)	Data 0.002 (0.002)	Loss 3.0755 (2.8842)	Prec@1 25.000 (32.137)	Prec@5 57.812 (62.001)
Epoch: [4][3580/14090]	Time 0.750 (0.753)	Data 0.001 (0.002)	Loss 2.8330 (2.8840)	Prec@1 34.375 (32.142)	Prec@5 63.281 (62.005)
Epoch: [4][3590/14090]	Time 0.741 (0.753)	Data 0.001 (0.002)	Loss 3.0303 (2.8843)	Prec@1 28.906 (32.137)	Prec@5 55.469 (61.999)
Epoch: [4][3600/14090]	Time 0.774 (0.753)	Data 0.001 (0.002)	Loss 2.7237 (2.8842)	Prec@1 35.156 (32.137)	Prec@5 64.062 (62.001)
Epoch: [4][3610/14090]	Time 0.733 (0.753)	Data 0.003 (0.002)	Loss 2.9515 (2.8841)	Prec@1 28.125 (32.137)	Prec@5 60.156 (62.004)
Epoch: [4][3620/14090]	Time 0.743 (0.753)	Data 0.001 (0.002)	Loss 2.8044 (2.8838)	Prec@1 32.812 (32.140)	Prec@5 61.719 (62.009)
Epoch: [4][3630/14090]	Time 0.725 (0.753)	Data 0.001 (0.002)	Loss 2.9465 (2.8839)	Prec@1 32.812 (32.143)	Prec@5 62.500 (62.008)
Epoch: [4][3640/14090]	Time 0.753 (0.753)	Data 0.002 (0.002)	Loss 2.5215 (2.8839)	Prec@1 39.844 (32.144)	Prec@5 71.094 (62.011)
Epoch: [4][3650/14090]	Time 0.772 (0.753)	Data 0.001 (0.002)	Loss 3.0221 (2.8836)	Prec@1 27.344 (32.151)	Prec@5 59.375 (62.018)
Epoch: [4][3660/14090]	Time 0.739 (0.753)	Data 0.001 (0.002)	Loss 2.7732 (2.8837)	Prec@1 35.156 (32.149)	Prec@5 64.844 (62.018)
Epoch: [4][3670/14090]	Time 0.756 (0.753)	Data 0.001 (0.002)	Loss 2.8006 (2.8837)	Prec@1 39.062 (32.152)	Prec@5 64.062 (62.018)
Epoch: [4][3680/14090]	Time 0.766 (0.753)	Data 0.001 (0.002)	Loss 3.1381 (2.8837)	Prec@1 28.125 (32.151)	Prec@5 53.125 (62.015)
Epoch: [4][3690/14090]	Time 0.727 (0.753)	Data 0.001 (0.002)	Loss 2.4501 (2.8836)	Prec@1 49.219 (32.154)	Prec@5 68.750 (62.021)
Epoch: [4][3700/14090]	Time 0.732 (0.753)	Data 0.001 (0.002)	Loss 2.7197 (2.8834)	Prec@1 39.062 (32.158)	Prec@5 64.844 (62.025)
Epoch: [4][3710/14090]	Time 0.763 (0.753)	Data 0.002 (0.002)	Loss 2.8378 (2.8834)	Prec@1 30.469 (32.159)	Prec@5 59.375 (62.020)
Epoch: [4][3720/14090]	Time 0.740 (0.753)	Data 0.001 (0.002)	Loss 2.7912 (2.8836)	Prec@1 32.812 (32.156)	Prec@5 63.281 (62.015)
Epoch: [4][3730/14090]	Time 0.764 (0.753)	Data 0.001 (0.002)	Loss 2.9863 (2.8836)	Prec@1 26.562 (32.155)	Prec@5 58.594 (62.013)
Epoch: [4][3740/14090]	Time 0.731 (0.753)	Data 0.001 (0.002)	Loss 2.9057 (2.8834)	Prec@1 34.375 (32.157)	Prec@5 57.812 (62.016)
Epoch: [4][3750/14090]	Time 0.773 (0.753)	Data 0.001 (0.002)	Loss 2.7880 (2.8836)	Prec@1 32.812 (32.151)	Prec@5 68.750 (62.013)
Epoch: [4][3760/14090]	Time 0.747 (0.753)	Data 0.001 (0.002)	Loss 3.0481 (2.8838)	Prec@1 23.438 (32.144)	Prec@5 61.719 (62.013)
Epoch: [4][3770/14090]	Time 0.741 (0.753)	Data 0.001 (0.002)	Loss 3.0418 (2.8837)	Prec@1 33.594 (32.148)	Prec@5 63.281 (62.017)
Epoch: [4][3780/14090]	Time 0.774 (0.753)	Data 0.002 (0.002)	Loss 2.8972 (2.8838)	Prec@1 30.469 (32.146)	Prec@5 59.375 (62.015)
Epoch: [4][3790/14090]	Time 0.785 (0.753)	Data 0.001 (0.002)	Loss 2.8978 (2.8837)	Prec@1 31.250 (32.144)	Prec@5 58.594 (62.017)
Epoch: [4][3800/14090]	Time 0.747 (0.753)	Data 0.001 (0.002)	Loss 2.9578 (2.8838)	Prec@1 29.688 (32.143)	Prec@5 62.500 (62.017)
Epoch: [4][3810/14090]	Time 0.773 (0.753)	Data 0.001 (0.002)	Loss 2.9443 (2.8837)	Prec@1 30.469 (32.149)	Prec@5 62.500 (62.020)
Epoch: [4][3820/14090]	Time 0.762 (0.753)	Data 0.002 (0.002)	Loss 2.6766 (2.8836)	Prec@1 38.281 (32.150)	Prec@5 67.969 (62.022)
Epoch: [4][3830/14090]	Time 0.747 (0.753)	Data 0.001 (0.002)	Loss 2.9431 (2.8838)	Prec@1 32.812 (32.146)	Prec@5 56.250 (62.013)
Epoch: [4][3840/14090]	Time 0.767 (0.753)	Data 0.001 (0.002)	Loss 2.8652 (2.8836)	Prec@1 34.375 (32.153)	Prec@5 65.625 (62.018)
Epoch: [4][3850/14090]	Time 0.785 (0.753)	Data 0.002 (0.002)	Loss 2.9058 (2.8836)	Prec@1 34.375 (32.153)	Prec@5 59.375 (62.014)
Epoch: [4][3860/14090]	Time 0.732 (0.753)	Data 0.001 (0.002)	Loss 2.9373 (2.8836)	Prec@1 26.562 (32.150)	Prec@5 60.156 (62.014)
Epoch: [4][3870/14090]	Time 0.744 (0.753)	Data 0.001 (0.002)	Loss 2.8667 (2.8837)	Prec@1 30.469 (32.145)	Prec@5 60.938 (62.010)
Epoch: [4][3880/14090]	Time 0.763 (0.753)	Data 0.001 (0.002)	Loss 2.7320 (2.8836)	Prec@1 35.938 (32.147)	Prec@5 65.625 (62.009)
Epoch: [4][3890/14090]	Time 0.764 (0.753)	Data 0.001 (0.002)	Loss 3.0072 (2.8836)	Prec@1 27.344 (32.145)	Prec@5 59.375 (62.005)
Epoch: [4][3900/14090]	Time 0.751 (0.753)	Data 0.001 (0.002)	Loss 2.8806 (2.8836)	Prec@1 28.125 (32.146)	Prec@5 54.688 (62.004)
Epoch: [4][3910/14090]	Time 0.761 (0.753)	Data 0.001 (0.002)	Loss 2.9391 (2.8835)	Prec@1 33.594 (32.143)	Prec@5 64.062 (62.008)
Epoch: [4][3920/14090]	Time 0.747 (0.753)	Data 0.002 (0.002)	Loss 2.7666 (2.8836)	Prec@1 32.031 (32.140)	Prec@5 60.156 (62.006)
Epoch: [4][3930/14090]	Time 0.777 (0.753)	Data 0.001 (0.002)	Loss 2.8164 (2.8835)	Prec@1 32.031 (32.147)	Prec@5 64.844 (62.007)
Epoch: [4][3940/14090]	Time 0.727 (0.753)	Data 0.001 (0.002)	Loss 2.9770 (2.8834)	Prec@1 32.031 (32.150)	Prec@5 62.500 (62.015)
Epoch: [4][3950/14090]	Time 0.742 (0.753)	Data 0.001 (0.002)	Loss 2.7881 (2.8833)	Prec@1 32.031 (32.150)	Prec@5 60.938 (62.013)
Epoch: [4][3960/14090]	Time 0.749 (0.753)	Data 0.001 (0.002)	Loss 2.8084 (2.8835)	Prec@1 33.594 (32.147)	Prec@5 59.375 (62.012)
Epoch: [4][3970/14090]	Time 0.742 (0.753)	Data 0.001 (0.002)	Loss 3.0008 (2.8835)	Prec@1 30.469 (32.145)	Prec@5 60.156 (62.012)
Epoch: [4][3980/14090]	Time 0.779 (0.753)	Data 0.001 (0.002)	Loss 2.9865 (2.8834)	Prec@1 28.906 (32.143)	Prec@5 59.375 (62.014)
Epoch: [4][3990/14090]	Time 0.742 (0.753)	Data 0.001 (0.002)	Loss 2.8720 (2.8833)	Prec@1 39.844 (32.145)	Prec@5 60.938 (62.016)
Epoch: [4][4000/14090]	Time 0.754 (0.753)	Data 0.001 (0.002)	Loss 2.7703 (2.8834)	Prec@1 33.594 (32.150)	Prec@5 64.844 (62.015)
Epoch: [4][4010/14090]	Time 0.757 (0.753)	Data 0.001 (0.002)	Loss 3.0306 (2.8836)	Prec@1 28.906 (32.143)	Prec@5 56.250 (62.009)
Epoch: [4][4020/14090]	Time 0.751 (0.753)	Data 0.001 (0.002)	Loss 2.9747 (2.8836)	Prec@1 28.906 (32.142)	Prec@5 57.812 (62.009)
Epoch: [4][4030/14090]	Time 0.784 (0.753)	Data 0.002 (0.002)	Loss 2.8043 (2.8835)	Prec@1 27.344 (32.141)	Prec@5 64.062 (62.011)
Epoch: [4][4040/14090]	Time 0.732 (0.753)	Data 0.001 (0.002)	Loss 3.2817 (2.8835)	Prec@1 25.781 (32.143)	Prec@5 54.688 (62.011)
Epoch: [4][4050/14090]	Time 0.779 (0.753)	Data 0.001 (0.002)	Loss 3.0870 (2.8837)	Prec@1 31.250 (32.139)	Prec@5 56.250 (62.011)
Epoch: [4][4060/14090]	Time 0.769 (0.753)	Data 0.002 (0.002)	Loss 2.8899 (2.8838)	Prec@1 33.594 (32.141)	Prec@5 64.844 (62.012)
Epoch: [4][4070/14090]	Time 0.736 (0.753)	Data 0.001 (0.002)	Loss 2.9710 (2.8838)	Prec@1 31.250 (32.142)	Prec@5 59.375 (62.008)
Epoch: [4][4080/14090]	Time 0.744 (0.753)	Data 0.001 (0.002)	Loss 3.0273 (2.8840)	Prec@1 26.562 (32.141)	Prec@5 54.688 (62.004)
Epoch: [4][4090/14090]	Time 0.788 (0.753)	Data 0.001 (0.002)	Loss 2.7077 (2.8840)	Prec@1 35.156 (32.139)	Prec@5 65.625 (62.003)
Epoch: [4][4100/14090]	Time 0.741 (0.753)	Data 0.001 (0.002)	Loss 2.8920 (2.8841)	Prec@1 34.375 (32.134)	Prec@5 61.719 (62.003)
Epoch: [4][4110/14090]	Time 0.746 (0.753)	Data 0.001 (0.002)	Loss 2.9599 (2.8842)	Prec@1 28.125 (32.128)	Prec@5 60.156 (62.004)
Epoch: [4][4120/14090]	Time 0.727 (0.753)	Data 0.001 (0.002)	Loss 2.7285 (2.8841)	Prec@1 33.594 (32.127)	Prec@5 64.062 (62.006)
Epoch: [4][4130/14090]	Time 0.753 (0.753)	Data 0.002 (0.002)	Loss 3.0227 (2.8844)	Prec@1 34.375 (32.124)	Prec@5 60.156 (61.998)
Epoch: [4][4140/14090]	Time 0.759 (0.752)	Data 0.001 (0.002)	Loss 2.6783 (2.8843)	Prec@1 32.812 (32.123)	Prec@5 67.969 (62.001)
Epoch: [4][4150/14090]	Time 0.758 (0.753)	Data 0.001 (0.002)	Loss 2.7982 (2.8843)	Prec@1 32.812 (32.118)	Prec@5 61.719 (62.000)
Epoch: [4][4160/14090]	Time 0.759 (0.752)	Data 0.001 (0.002)	Loss 2.8978 (2.8843)	Prec@1 31.250 (32.119)	Prec@5 59.375 (62.000)
Epoch: [4][4170/14090]	Time 0.793 (0.752)	Data 0.001 (0.002)	Loss 2.5876 (2.8842)	Prec@1 36.719 (32.122)	Prec@5 66.406 (62.003)
Epoch: [4][4180/14090]	Time 0.732 (0.752)	Data 0.001 (0.002)	Loss 2.7252 (2.8842)	Prec@1 34.375 (32.124)	Prec@5 63.281 (62.000)
Epoch: [4][4190/14090]	Time 0.755 (0.752)	Data 0.001 (0.002)	Loss 2.9468 (2.8845)	Prec@1 30.469 (32.117)	Prec@5 60.938 (61.996)
Epoch: [4][4200/14090]	Time 0.722 (0.752)	Data 0.002 (0.002)	Loss 2.8417 (2.8844)	Prec@1 35.156 (32.118)	Prec@5 63.281 (61.995)
Epoch: [4][4210/14090]	Time 0.723 (0.752)	Data 0.001 (0.002)	Loss 2.6504 (2.8843)	Prec@1 24.219 (32.116)	Prec@5 67.969 (61.997)
Epoch: [4][4220/14090]	Time 0.736 (0.752)	Data 0.001 (0.002)	Loss 2.5204 (2.8843)	Prec@1 42.188 (32.115)	Prec@5 72.656 (61.995)
Epoch: [4][4230/14090]	Time 0.736 (0.752)	Data 0.001 (0.002)	Loss 2.9191 (2.8842)	Prec@1 32.031 (32.120)	Prec@5 60.156 (61.998)
Epoch: [4][4240/14090]	Time 0.736 (0.752)	Data 0.001 (0.002)	Loss 2.9717 (2.8842)	Prec@1 32.031 (32.119)	Prec@5 57.031 (61.999)
Epoch: [4][4250/14090]	Time 0.736 (0.752)	Data 0.001 (0.002)	Loss 2.7011 (2.8842)	Prec@1 39.062 (32.120)	Prec@5 67.969 (61.999)
Epoch: [4][4260/14090]	Time 0.734 (0.752)	Data 0.001 (0.002)	Loss 2.6030 (2.8840)	Prec@1 35.938 (32.123)	Prec@5 68.750 (62.004)
Epoch: [4][4270/14090]	Time 0.724 (0.752)	Data 0.002 (0.002)	Loss 2.8396 (2.8840)	Prec@1 26.562 (32.117)	Prec@5 62.500 (62.001)
Epoch: [4][4280/14090]	Time 0.757 (0.752)	Data 0.001 (0.002)	Loss 2.8783 (2.8841)	Prec@1 30.469 (32.116)	Prec@5 61.719 (62.001)
Epoch: [4][4290/14090]	Time 0.761 (0.752)	Data 0.001 (0.002)	Loss 2.8129 (2.8840)	Prec@1 32.812 (32.115)	Prec@5 61.719 (62.002)
Epoch: [4][4300/14090]	Time 0.748 (0.752)	Data 0.001 (0.002)	Loss 2.9085 (2.8840)	Prec@1 32.031 (32.113)	Prec@5 59.375 (62.005)
Epoch: [4][4310/14090]	Time 0.778 (0.752)	Data 0.001 (0.002)	Loss 2.9768 (2.8841)	Prec@1 36.719 (32.114)	Prec@5 58.594 (62.006)
Epoch: [4][4320/14090]	Time 0.730 (0.752)	Data 0.001 (0.002)	Loss 2.6630 (2.8841)	Prec@1 37.500 (32.110)	Prec@5 65.625 (62.007)
Epoch: [4][4330/14090]	Time 0.750 (0.752)	Data 0.001 (0.002)	Loss 2.8425 (2.8841)	Prec@1 33.594 (32.111)	Prec@5 67.969 (62.011)
Epoch: [4][4340/14090]	Time 0.728 (0.752)	Data 0.002 (0.002)	Loss 2.7461 (2.8842)	Prec@1 33.594 (32.111)	Prec@5 60.156 (62.009)
Epoch: [4][4350/14090]	Time 0.749 (0.752)	Data 0.001 (0.002)	Loss 2.8999 (2.8842)	Prec@1 32.812 (32.114)	Prec@5 64.062 (62.011)
Epoch: [4][4360/14090]	Time 0.734 (0.752)	Data 0.001 (0.002)	Loss 2.9019 (2.8841)	Prec@1 29.688 (32.112)	Prec@5 57.812 (62.012)
Epoch: [4][4370/14090]	Time 0.762 (0.752)	Data 0.001 (0.002)	Loss 2.6845 (2.8840)	Prec@1 33.594 (32.117)	Prec@5 71.094 (62.014)
Epoch: [4][4380/14090]	Time 0.733 (0.752)	Data 0.001 (0.002)	Loss 2.7957 (2.8840)	Prec@1 36.719 (32.117)	Prec@5 61.719 (62.016)
Epoch: [4][4390/14090]	Time 0.754 (0.752)	Data 0.001 (0.002)	Loss 2.4703 (2.8838)	Prec@1 41.406 (32.119)	Prec@5 69.531 (62.019)
Epoch: [4][4400/14090]	Time 0.752 (0.752)	Data 0.001 (0.002)	Loss 3.0071 (2.8838)	Prec@1 33.594 (32.121)	Prec@5 60.156 (62.021)
Epoch: [4][4410/14090]	Time 0.751 (0.752)	Data 0.002 (0.002)	Loss 2.5687 (2.8838)	Prec@1 37.500 (32.119)	Prec@5 69.531 (62.020)
Epoch: [4][4420/14090]	Time 0.751 (0.752)	Data 0.001 (0.002)	Loss 2.9709 (2.8837)	Prec@1 24.219 (32.118)	Prec@5 58.594 (62.021)
Epoch: [4][4430/14090]	Time 0.727 (0.752)	Data 0.001 (0.002)	Loss 2.7486 (2.8836)	Prec@1 39.062 (32.123)	Prec@5 68.750 (62.025)
Epoch: [4][4440/14090]	Time 0.728 (0.752)	Data 0.001 (0.002)	Loss 3.1157 (2.8835)	Prec@1 30.469 (32.124)	Prec@5 57.812 (62.028)
Epoch: [4][4450/14090]	Time 0.748 (0.752)	Data 0.001 (0.002)	Loss 3.1348 (2.8836)	Prec@1 29.688 (32.120)	Prec@5 58.594 (62.025)
Epoch: [4][4460/14090]	Time 0.762 (0.752)	Data 0.001 (0.002)	Loss 2.8829 (2.8837)	Prec@1 32.031 (32.119)	Prec@5 65.625 (62.024)
Epoch: [4][4470/14090]	Time 0.771 (0.752)	Data 0.001 (0.002)	Loss 2.7996 (2.8837)	Prec@1 32.812 (32.116)	Prec@5 67.188 (62.027)
Epoch: [4][4480/14090]	Time 0.745 (0.752)	Data 0.003 (0.002)	Loss 2.8902 (2.8837)	Prec@1 31.250 (32.119)	Prec@5 66.406 (62.026)
Epoch: [4][4490/14090]	Time 0.749 (0.752)	Data 0.001 (0.002)	Loss 2.6760 (2.8835)	Prec@1 31.250 (32.123)	Prec@5 67.188 (62.027)
Epoch: [4][4500/14090]	Time 0.752 (0.752)	Data 0.001 (0.002)	Loss 3.1483 (2.8834)	Prec@1 23.438 (32.122)	Prec@5 57.812 (62.026)
Epoch: [4][4510/14090]	Time 0.738 (0.752)	Data 0.001 (0.002)	Loss 2.9861 (2.8834)	Prec@1 34.375 (32.125)	Prec@5 58.594 (62.027)
Epoch: [4][4520/14090]	Time 0.738 (0.752)	Data 0.001 (0.002)	Loss 2.9120 (2.8833)	Prec@1 29.688 (32.123)	Prec@5 67.188 (62.029)
Epoch: [4][4530/14090]	Time 0.727 (0.752)	Data 0.001 (0.002)	Loss 2.7976 (2.8831)	Prec@1 33.594 (32.127)	Prec@5 60.938 (62.033)
Epoch: [4][4540/14090]	Time 0.775 (0.752)	Data 0.001 (0.002)	Loss 2.9589 (2.8831)	Prec@1 27.344 (32.127)	Prec@5 53.906 (62.033)
Epoch: [4][4550/14090]	Time 0.752 (0.752)	Data 0.002 (0.002)	Loss 2.9231 (2.8828)	Prec@1 31.250 (32.133)	Prec@5 67.188 (62.043)
Epoch: [4][4560/14090]	Time 0.778 (0.752)	Data 0.001 (0.002)	Loss 2.8925 (2.8827)	Prec@1 26.562 (32.134)	Prec@5 64.062 (62.046)
Epoch: [4][4570/14090]	Time 0.749 (0.752)	Data 0.001 (0.002)	Loss 3.0118 (2.8828)	Prec@1 28.125 (32.130)	Prec@5 56.250 (62.043)
Epoch: [4][4580/14090]	Time 0.719 (0.752)	Data 0.001 (0.002)	Loss 2.7772 (2.8827)	Prec@1 28.906 (32.133)	Prec@5 63.281 (62.044)
Epoch: [4][4590/14090]	Time 0.758 (0.752)	Data 0.001 (0.002)	Loss 2.9427 (2.8829)	Prec@1 28.906 (32.128)	Prec@5 60.156 (62.041)
Epoch: [4][4600/14090]	Time 0.748 (0.752)	Data 0.001 (0.002)	Loss 2.7464 (2.8829)	Prec@1 31.250 (32.128)	Prec@5 62.500 (62.039)
Epoch: [4][4610/14090]	Time 0.774 (0.752)	Data 0.001 (0.002)	Loss 2.9812 (2.8832)	Prec@1 28.125 (32.122)	Prec@5 60.156 (62.031)
Epoch: [4][4620/14090]	Time 0.779 (0.752)	Data 0.002 (0.002)	Loss 2.8538 (2.8832)	Prec@1 33.594 (32.123)	Prec@5 67.969 (62.030)
Epoch: [4][4630/14090]	Time 0.773 (0.752)	Data 0.001 (0.002)	Loss 3.3777 (2.8833)	Prec@1 24.219 (32.125)	Prec@5 47.656 (62.027)
Epoch: [4][4640/14090]	Time 0.771 (0.752)	Data 0.001 (0.002)	Loss 2.7371 (2.8832)	Prec@1 32.031 (32.127)	Prec@5 66.406 (62.031)
Epoch: [4][4650/14090]	Time 0.765 (0.752)	Data 0.001 (0.002)	Loss 2.9182 (2.8832)	Prec@1 34.375 (32.122)	Prec@5 62.500 (62.033)
Epoch: [4][4660/14090]	Time 0.779 (0.752)	Data 0.001 (0.002)	Loss 2.9926 (2.8833)	Prec@1 26.562 (32.120)	Prec@5 60.156 (62.029)
Epoch: [4][4670/14090]	Time 0.761 (0.752)	Data 0.001 (0.002)	Loss 2.7964 (2.8832)	Prec@1 35.156 (32.124)	Prec@5 64.844 (62.028)
Epoch: [4][4680/14090]	Time 0.730 (0.752)	Data 0.001 (0.002)	Loss 2.5628 (2.8832)	Prec@1 37.500 (32.122)	Prec@5 67.969 (62.030)
Epoch: [4][4690/14090]	Time 0.734 (0.752)	Data 0.002 (0.002)	Loss 2.7436 (2.8831)	Prec@1 35.156 (32.127)	Prec@5 62.500 (62.032)
Epoch: [4][4700/14090]	Time 0.779 (0.752)	Data 0.001 (0.002)	Loss 3.3974 (2.8832)	Prec@1 25.000 (32.130)	Prec@5 49.219 (62.029)
Epoch: [4][4710/14090]	Time 0.766 (0.752)	Data 0.001 (0.002)	Loss 3.1871 (2.8834)	Prec@1 28.906 (32.129)	Prec@5 54.688 (62.024)
Epoch: [4][4720/14090]	Time 0.739 (0.752)	Data 0.001 (0.002)	Loss 3.0535 (2.8834)	Prec@1 28.125 (32.130)	Prec@5 57.031 (62.023)
Epoch: [4][4730/14090]	Time 0.734 (0.752)	Data 0.001 (0.002)	Loss 2.8920 (2.8833)	Prec@1 32.812 (32.130)	Prec@5 61.719 (62.025)
Epoch: [4][4740/14090]	Time 0.743 (0.752)	Data 0.001 (0.002)	Loss 2.8079 (2.8832)	Prec@1 31.250 (32.132)	Prec@5 67.969 (62.028)
Epoch: [4][4750/14090]	Time 0.744 (0.752)	Data 0.002 (0.002)	Loss 2.9241 (2.8831)	Prec@1 25.781 (32.132)	Prec@5 60.156 (62.027)
Epoch: [4][4760/14090]	Time 0.760 (0.752)	Data 0.002 (0.002)	Loss 2.9281 (2.8832)	Prec@1 35.938 (32.133)	Prec@5 65.625 (62.029)
Epoch: [4][4770/14090]	Time 0.781 (0.752)	Data 0.001 (0.002)	Loss 2.7251 (2.8832)	Prec@1 36.719 (32.132)	Prec@5 64.062 (62.029)
Epoch: [4][4780/14090]	Time 0.761 (0.752)	Data 0.001 (0.002)	Loss 2.8569 (2.8833)	Prec@1 26.562 (32.128)	Prec@5 61.719 (62.029)
Epoch: [4][4790/14090]	Time 0.735 (0.752)	Data 0.001 (0.002)	Loss 2.6313 (2.8832)	Prec@1 38.281 (32.128)	Prec@5 67.969 (62.032)
Epoch: [4][4800/14090]	Time 0.732 (0.752)	Data 0.001 (0.002)	Loss 2.8500 (2.8830)	Prec@1 29.688 (32.133)	Prec@5 66.406 (62.034)
Epoch: [4][4810/14090]	Time 0.734 (0.752)	Data 0.001 (0.002)	Loss 2.8806 (2.8828)	Prec@1 32.812 (32.134)	Prec@5 62.500 (62.038)
Epoch: [4][4820/14090]	Time 0.764 (0.752)	Data 0.001 (0.002)	Loss 3.0351 (2.8828)	Prec@1 31.250 (32.136)	Prec@5 61.719 (62.035)
Epoch: [4][4830/14090]	Time 0.782 (0.752)	Data 0.002 (0.002)	Loss 2.9351 (2.8829)	Prec@1 32.812 (32.136)	Prec@5 56.250 (62.032)
Epoch: [4][4840/14090]	Time 0.763 (0.752)	Data 0.001 (0.002)	Loss 3.2808 (2.8830)	Prec@1 23.438 (32.132)	Prec@5 50.781 (62.027)
Epoch: [4][4850/14090]	Time 0.739 (0.752)	Data 0.001 (0.002)	Loss 2.6850 (2.8829)	Prec@1 32.031 (32.132)	Prec@5 67.969 (62.031)
Epoch: [4][4860/14090]	Time 0.745 (0.752)	Data 0.001 (0.002)	Loss 2.8042 (2.8829)	Prec@1 34.375 (32.134)	Prec@5 64.844 (62.032)
Epoch: [4][4870/14090]	Time 0.775 (0.752)	Data 0.001 (0.002)	Loss 2.9235 (2.8830)	Prec@1 32.812 (32.133)	Prec@5 60.156 (62.030)
Epoch: [4][4880/14090]	Time 0.759 (0.752)	Data 0.001 (0.002)	Loss 2.9099 (2.8829)	Prec@1 35.156 (32.135)	Prec@5 61.719 (62.032)
Epoch: [4][4890/14090]	Time 0.752 (0.752)	Data 0.001 (0.002)	Loss 2.9200 (2.8828)	Prec@1 31.250 (32.138)	Prec@5 60.156 (62.028)
Epoch: [4][4900/14090]	Time 0.734 (0.752)	Data 0.002 (0.002)	Loss 2.6027 (2.8826)	Prec@1 30.469 (32.141)	Prec@5 69.531 (62.030)
Epoch: [4][4910/14090]	Time 0.774 (0.752)	Data 0.001 (0.002)	Loss 2.7966 (2.8828)	Prec@1 32.031 (32.137)	Prec@5 63.281 (62.028)
Epoch: [4][4920/14090]	Time 0.762 (0.752)	Data 0.001 (0.002)	Loss 2.8970 (2.8826)	Prec@1 33.594 (32.144)	Prec@5 58.594 (62.030)
Epoch: [4][4930/14090]	Time 0.745 (0.752)	Data 0.001 (0.002)	Loss 2.7982 (2.8824)	Prec@1 32.812 (32.149)	Prec@5 64.062 (62.035)
Epoch: [4][4940/14090]	Time 0.759 (0.752)	Data 0.001 (0.002)	Loss 2.9394 (2.8823)	Prec@1 32.031 (32.151)	Prec@5 60.156 (62.037)
Epoch: [4][4950/14090]	Time 0.751 (0.752)	Data 0.001 (0.002)	Loss 2.8049 (2.8824)	Prec@1 32.812 (32.149)	Prec@5 64.844 (62.035)
Epoch: [4][4960/14090]	Time 0.761 (0.752)	Data 0.001 (0.002)	Loss 2.7110 (2.8823)	Prec@1 32.812 (32.153)	Prec@5 64.844 (62.040)
Epoch: [4][4970/14090]	Time 0.769 (0.752)	Data 0.002 (0.002)	Loss 2.6786 (2.8822)	Prec@1 35.156 (32.154)	Prec@5 67.969 (62.039)
Epoch: [4][4980/14090]	Time 0.736 (0.752)	Data 0.001 (0.002)	Loss 2.7157 (2.8821)	Prec@1 33.594 (32.155)	Prec@5 65.625 (62.045)
Epoch: [4][4990/14090]	Time 0.764 (0.752)	Data 0.001 (0.002)	Loss 2.8214 (2.8821)	Prec@1 28.125 (32.150)	Prec@5 64.844 (62.044)
Epoch: [4][5000/14090]	Time 0.767 (0.752)	Data 0.001 (0.002)	Loss 3.0556 (2.8822)	Prec@1 29.688 (32.151)	Prec@5 60.938 (62.044)
Epoch: [4][5010/14090]	Time 0.755 (0.752)	Data 0.001 (0.002)	Loss 2.9206 (2.8823)	Prec@1 28.125 (32.149)	Prec@5 64.062 (62.044)
Epoch: [4][5020/14090]	Time 0.727 (0.752)	Data 0.001 (0.002)	Loss 2.9329 (2.8825)	Prec@1 30.469 (32.147)	Prec@5 58.594 (62.041)
Epoch: [4][5030/14090]	Time 0.778 (0.752)	Data 0.001 (0.002)	Loss 2.6656 (2.8825)	Prec@1 34.375 (32.147)	Prec@5 67.188 (62.042)
Epoch: [4][5040/14090]	Time 0.745 (0.752)	Data 0.002 (0.002)	Loss 3.1935 (2.8827)	Prec@1 30.469 (32.145)	Prec@5 55.469 (62.038)
Epoch: [4][5050/14090]	Time 0.754 (0.752)	Data 0.001 (0.002)	Loss 2.7368 (2.8826)	Prec@1 31.250 (32.149)	Prec@5 64.062 (62.041)
Epoch: [4][5060/14090]	Time 0.740 (0.752)	Data 0.001 (0.002)	Loss 2.7703 (2.8825)	Prec@1 35.156 (32.153)	Prec@5 63.281 (62.046)
Epoch: [4][5070/14090]	Time 0.751 (0.752)	Data 0.001 (0.002)	Loss 2.8784 (2.8825)	Prec@1 35.156 (32.153)	Prec@5 63.281 (62.046)
Epoch: [4][5080/14090]	Time 0.752 (0.752)	Data 0.001 (0.002)	Loss 2.8808 (2.8824)	Prec@1 35.156 (32.158)	Prec@5 64.844 (62.050)
Epoch: [4][5090/14090]	Time 0.734 (0.752)	Data 0.001 (0.002)	Loss 2.6498 (2.8824)	Prec@1 40.625 (32.160)	Prec@5 67.969 (62.052)
Epoch: [4][5100/14090]	Time 0.754 (0.752)	Data 0.001 (0.002)	Loss 2.9846 (2.8823)	Prec@1 29.688 (32.160)	Prec@5 60.156 (62.050)
Epoch: [4][5110/14090]	Time 0.752 (0.752)	Data 0.002 (0.002)	Loss 3.1181 (2.8821)	Prec@1 22.656 (32.163)	Prec@5 60.156 (62.056)
Epoch: [4][5120/14090]	Time 0.736 (0.752)	Data 0.001 (0.002)	Loss 2.8760 (2.8819)	Prec@1 25.781 (32.163)	Prec@5 66.406 (62.063)
Epoch: [4][5130/14090]	Time 0.764 (0.752)	Data 0.001 (0.002)	Loss 2.6431 (2.8819)	Prec@1 42.188 (32.162)	Prec@5 66.406 (62.062)
Epoch: [4][5140/14090]	Time 0.751 (0.752)	Data 0.001 (0.002)	Loss 2.9299 (2.8819)	Prec@1 34.375 (32.162)	Prec@5 62.500 (62.065)
Epoch: [4][5150/14090]	Time 0.766 (0.752)	Data 0.001 (0.002)	Loss 2.5957 (2.8817)	Prec@1 33.594 (32.165)	Prec@5 67.969 (62.071)
Epoch: [4][5160/14090]	Time 0.776 (0.752)	Data 0.001 (0.002)	Loss 3.1518 (2.8819)	Prec@1 28.906 (32.162)	Prec@5 55.469 (62.068)
Epoch: [4][5170/14090]	Time 0.775 (0.752)	Data 0.001 (0.002)	Loss 2.7932 (2.8819)	Prec@1 35.938 (32.165)	Prec@5 65.625 (62.068)
Epoch: [4][5180/14090]	Time 0.744 (0.752)	Data 0.002 (0.002)	Loss 2.8473 (2.8818)	Prec@1 32.031 (32.168)	Prec@5 65.625 (62.069)
Epoch: [4][5190/14090]	Time 0.733 (0.752)	Data 0.001 (0.002)	Loss 2.9224 (2.8818)	Prec@1 33.594 (32.172)	Prec@5 59.375 (62.067)
Epoch: [4][5200/14090]	Time 0.731 (0.752)	Data 0.001 (0.002)	Loss 2.9070 (2.8818)	Prec@1 30.469 (32.171)	Prec@5 66.406 (62.066)
Epoch: [4][5210/14090]	Time 0.750 (0.752)	Data 0.001 (0.002)	Loss 3.3321 (2.8821)	Prec@1 28.125 (32.169)	Prec@5 56.250 (62.064)
Epoch: [4][5220/14090]	Time 0.763 (0.752)	Data 0.001 (0.002)	Loss 2.8167 (2.8820)	Prec@1 35.938 (32.172)	Prec@5 64.844 (62.068)
Epoch: [4][5230/14090]	Time 0.767 (0.752)	Data 0.001 (0.002)	Loss 2.5826 (2.8820)	Prec@1 35.938 (32.174)	Prec@5 64.062 (62.069)
Epoch: [4][5240/14090]	Time 0.761 (0.752)	Data 0.001 (0.002)	Loss 2.9436 (2.8820)	Prec@1 24.219 (32.176)	Prec@5 60.156 (62.070)
Epoch: [4][5250/14090]	Time 0.734 (0.752)	Data 0.002 (0.002)	Loss 2.9938 (2.8820)	Prec@1 27.344 (32.174)	Prec@5 61.719 (62.071)
Epoch: [4][5260/14090]	Time 0.731 (0.752)	Data 0.001 (0.002)	Loss 2.8418 (2.8821)	Prec@1 34.375 (32.172)	Prec@5 61.719 (62.070)
Epoch: [4][5270/14090]	Time 0.771 (0.752)	Data 0.001 (0.002)	Loss 2.6565 (2.8820)	Prec@1 39.844 (32.174)	Prec@5 65.625 (62.073)
Epoch: [4][5280/14090]	Time 0.753 (0.752)	Data 0.001 (0.002)	Loss 2.6906 (2.8818)	Prec@1 42.969 (32.176)	Prec@5 67.188 (62.076)
Epoch: [4][5290/14090]	Time 0.734 (0.752)	Data 0.001 (0.002)	Loss 2.8767 (2.8820)	Prec@1 28.125 (32.174)	Prec@5 64.062 (62.072)
Epoch: [4][5300/14090]	Time 0.751 (0.752)	Data 0.001 (0.002)	Loss 2.7943 (2.8820)	Prec@1 32.812 (32.175)	Prec@5 60.938 (62.071)
Epoch: [4][5310/14090]	Time 0.756 (0.752)	Data 0.001 (0.002)	Loss 3.0389 (2.8820)	Prec@1 26.562 (32.174)	Prec@5 58.594 (62.071)
Epoch: [4][5320/14090]	Time 0.751 (0.752)	Data 0.002 (0.002)	Loss 2.7076 (2.8820)	Prec@1 34.375 (32.173)	Prec@5 66.406 (62.069)
Epoch: [4][5330/14090]	Time 0.757 (0.752)	Data 0.001 (0.002)	Loss 2.5703 (2.8819)	Prec@1 35.938 (32.175)	Prec@5 69.531 (62.071)
Epoch: [4][5340/14090]	Time 0.728 (0.752)	Data 0.001 (0.002)	Loss 2.8702 (2.8818)	Prec@1 30.469 (32.173)	Prec@5 64.844 (62.075)
Epoch: [4][5350/14090]	Time 0.728 (0.752)	Data 0.001 (0.002)	Loss 2.6254 (2.8818)	Prec@1 39.844 (32.174)	Prec@5 70.312 (62.074)
Epoch: [4][5360/14090]	Time 0.732 (0.752)	Data 0.001 (0.002)	Loss 2.9122 (2.8819)	Prec@1 32.812 (32.175)	Prec@5 60.156 (62.068)
Epoch: [4][5370/14090]	Time 0.773 (0.752)	Data 0.001 (0.002)	Loss 2.9447 (2.8817)	Prec@1 32.031 (32.178)	Prec@5 63.281 (62.072)
Epoch: [4][5380/14090]	Time 0.739 (0.752)	Data 0.001 (0.002)	Loss 2.4179 (2.8815)	Prec@1 42.969 (32.182)	Prec@5 69.531 (62.075)
Epoch: [4][5390/14090]	Time 0.781 (0.752)	Data 0.002 (0.002)	Loss 2.9894 (2.8813)	Prec@1 30.469 (32.182)	Prec@5 58.594 (62.077)
Epoch: [4][5400/14090]	Time 0.745 (0.752)	Data 0.001 (0.002)	Loss 2.5910 (2.8814)	Prec@1 35.156 (32.182)	Prec@5 70.312 (62.076)
Epoch: [4][5410/14090]	Time 0.732 (0.752)	Data 0.001 (0.002)	Loss 2.9553 (2.8813)	Prec@1 28.906 (32.184)	Prec@5 59.375 (62.078)
Epoch: [4][5420/14090]	Time 0.731 (0.752)	Data 0.001 (0.002)	Loss 2.8646 (2.8813)	Prec@1 32.812 (32.185)	Prec@5 61.719 (62.079)
Epoch: [4][5430/14090]	Time 0.775 (0.752)	Data 0.002 (0.002)	Loss 3.2328 (2.8816)	Prec@1 28.906 (32.181)	Prec@5 57.031 (62.074)
Epoch: [4][5440/14090]	Time 0.736 (0.752)	Data 0.001 (0.002)	Loss 2.8663 (2.8816)	Prec@1 35.938 (32.183)	Prec@5 65.625 (62.075)
Epoch: [4][5450/14090]	Time 0.730 (0.752)	Data 0.001 (0.002)	Loss 2.7116 (2.8815)	Prec@1 32.812 (32.184)	Prec@5 66.406 (62.075)
Epoch: [4][5460/14090]	Time 0.748 (0.752)	Data 0.003 (0.002)	Loss 2.6107 (2.8813)	Prec@1 37.500 (32.187)	Prec@5 64.062 (62.079)
Epoch: [4][5470/14090]	Time 0.744 (0.752)	Data 0.001 (0.002)	Loss 3.0027 (2.8813)	Prec@1 27.344 (32.186)	Prec@5 59.375 (62.077)
Epoch: [4][5480/14090]	Time 0.756 (0.752)	Data 0.001 (0.002)	Loss 3.1540 (2.8815)	Prec@1 28.125 (32.184)	Prec@5 53.125 (62.073)
Epoch: [4][5490/14090]	Time 0.735 (0.752)	Data 0.001 (0.002)	Loss 2.9347 (2.8814)	Prec@1 28.906 (32.188)	Prec@5 60.156 (62.074)
Epoch: [4][5500/14090]	Time 0.736 (0.752)	Data 0.001 (0.002)	Loss 2.5151 (2.8813)	Prec@1 39.062 (32.190)	Prec@5 69.531 (62.076)
Epoch: [4][5510/14090]	Time 0.736 (0.752)	Data 0.001 (0.002)	Loss 2.5088 (2.8813)	Prec@1 35.156 (32.190)	Prec@5 71.094 (62.075)
Epoch: [4][5520/14090]	Time 0.789 (0.752)	Data 0.001 (0.002)	Loss 2.7009 (2.8813)	Prec@1 37.500 (32.189)	Prec@5 68.750 (62.076)
Epoch: [4][5530/14090]	Time 0.759 (0.752)	Data 0.002 (0.002)	Loss 3.0323 (2.8815)	Prec@1 32.031 (32.187)	Prec@5 60.938 (62.074)
Epoch: [4][5540/14090]	Time 0.763 (0.752)	Data 0.001 (0.002)	Loss 2.7087 (2.8814)	Prec@1 33.594 (32.188)	Prec@5 63.281 (62.075)
Epoch: [4][5550/14090]	Time 0.747 (0.752)	Data 0.001 (0.002)	Loss 2.9355 (2.8813)	Prec@1 30.469 (32.185)	Prec@5 63.281 (62.078)
Epoch: [4][5560/14090]	Time 0.746 (0.752)	Data 0.001 (0.002)	Loss 2.7271 (2.8811)	Prec@1 39.844 (32.188)	Prec@5 65.625 (62.082)
Epoch: [4][5570/14090]	Time 0.743 (0.752)	Data 0.001 (0.002)	Loss 2.7811 (2.8810)	Prec@1 35.156 (32.192)	Prec@5 67.188 (62.084)
Epoch: [4][5580/14090]	Time 0.726 (0.752)	Data 0.001 (0.002)	Loss 3.0049 (2.8812)	Prec@1 26.562 (32.187)	Prec@5 63.281 (62.079)
Epoch: [4][5590/14090]	Time 0.737 (0.752)	Data 0.001 (0.002)	Loss 2.9141 (2.8813)	Prec@1 31.250 (32.189)	Prec@5 64.062 (62.079)
Epoch: [4][5600/14090]	Time 0.734 (0.752)	Data 0.002 (0.002)	Loss 2.7481 (2.8814)	Prec@1 37.500 (32.190)	Prec@5 64.062 (62.077)
Epoch: [4][5610/14090]	Time 0.739 (0.752)	Data 0.001 (0.002)	Loss 2.9033 (2.8815)	Prec@1 27.344 (32.188)	Prec@5 62.500 (62.076)
Epoch: [4][5620/14090]	Time 0.757 (0.752)	Data 0.001 (0.002)	Loss 2.9248 (2.8815)	Prec@1 34.375 (32.190)	Prec@5 60.156 (62.077)
Epoch: [4][5630/14090]	Time 0.782 (0.752)	Data 0.001 (0.002)	Loss 2.8655 (2.8814)	Prec@1 35.156 (32.192)	Prec@5 64.062 (62.081)
Epoch: [4][5640/14090]	Time 0.744 (0.752)	Data 0.001 (0.002)	Loss 2.9090 (2.8814)	Prec@1 29.688 (32.192)	Prec@5 65.625 (62.082)
Epoch: [4][5650/14090]	Time 0.741 (0.752)	Data 0.001 (0.002)	Loss 3.2428 (2.8816)	Prec@1 27.344 (32.190)	Prec@5 56.250 (62.080)
Epoch: [4][5660/14090]	Time 0.734 (0.752)	Data 0.001 (0.002)	Loss 2.7258 (2.8817)	Prec@1 33.594 (32.190)	Prec@5 61.719 (62.076)
Epoch: [4][5670/14090]	Time 0.737 (0.752)	Data 0.002 (0.002)	Loss 2.8869 (2.8816)	Prec@1 35.156 (32.193)	Prec@5 60.938 (62.078)
Epoch: [4][5680/14090]	Time 0.761 (0.752)	Data 0.001 (0.002)	Loss 3.1204 (2.8816)	Prec@1 30.469 (32.192)	Prec@5 60.156 (62.079)
Epoch: [4][5690/14090]	Time 0.770 (0.752)	Data 0.001 (0.002)	Loss 2.7198 (2.8816)	Prec@1 39.062 (32.193)	Prec@5 64.062 (62.080)
Epoch: [4][5700/14090]	Time 0.739 (0.752)	Data 0.001 (0.002)	Loss 2.9955 (2.8816)	Prec@1 31.250 (32.192)	Prec@5 63.281 (62.082)
Epoch: [4][5710/14090]	Time 0.741 (0.752)	Data 0.001 (0.002)	Loss 3.0217 (2.8816)	Prec@1 32.031 (32.194)	Prec@5 58.594 (62.079)
Epoch: [4][5720/14090]	Time 0.755 (0.752)	Data 0.001 (0.002)	Loss 2.9608 (2.8816)	Prec@1 32.812 (32.195)	Prec@5 67.969 (62.081)
Epoch: [4][5730/14090]	Time 0.778 (0.752)	Data 0.001 (0.002)	Loss 2.9771 (2.8814)	Prec@1 26.562 (32.196)	Prec@5 57.812 (62.083)
Epoch: [4][5740/14090]	Time 0.759 (0.752)	Data 0.002 (0.002)	Loss 2.6115 (2.8815)	Prec@1 32.812 (32.195)	Prec@5 67.188 (62.082)
Epoch: [4][5750/14090]	Time 0.734 (0.752)	Data 0.001 (0.002)	Loss 2.8064 (2.8814)	Prec@1 35.156 (32.198)	Prec@5 61.719 (62.083)
Epoch: [4][5760/14090]	Time 0.747 (0.752)	Data 0.001 (0.002)	Loss 2.8323 (2.8814)	Prec@1 35.938 (32.200)	Prec@5 61.719 (62.082)
Epoch: [4][5770/14090]	Time 0.744 (0.752)	Data 0.001 (0.002)	Loss 2.9697 (2.8813)	Prec@1 30.469 (32.201)	Prec@5 60.156 (62.081)
Epoch: [4][5780/14090]	Time 0.767 (0.752)	Data 0.001 (0.002)	Loss 2.8431 (2.8813)	Prec@1 32.031 (32.204)	Prec@5 61.719 (62.081)
Epoch: [4][5790/14090]	Time 0.728 (0.752)	Data 0.001 (0.002)	Loss 3.2110 (2.8813)	Prec@1 30.469 (32.203)	Prec@5 56.250 (62.083)
Epoch: [4][5800/14090]	Time 0.751 (0.752)	Data 0.001 (0.002)	Loss 3.0360 (2.8813)	Prec@1 27.344 (32.204)	Prec@5 60.156 (62.083)
Epoch: [4][5810/14090]	Time 0.770 (0.752)	Data 0.003 (0.002)	Loss 2.8510 (2.8813)	Prec@1 36.719 (32.207)	Prec@5 67.969 (62.088)
Epoch: [4][5820/14090]	Time 0.760 (0.752)	Data 0.001 (0.002)	Loss 2.6455 (2.8811)	Prec@1 36.719 (32.207)	Prec@5 67.188 (62.093)
Epoch: [4][5830/14090]	Time 0.751 (0.752)	Data 0.001 (0.002)	Loss 2.7139 (2.8810)	Prec@1 36.719 (32.208)	Prec@5 62.500 (62.095)
Epoch: [4][5840/14090]	Time 0.763 (0.752)	Data 0.001 (0.002)	Loss 2.9563 (2.8812)	Prec@1 32.812 (32.204)	Prec@5 62.500 (62.092)
Epoch: [4][5850/14090]	Time 0.748 (0.752)	Data 0.001 (0.002)	Loss 2.8428 (2.8813)	Prec@1 32.031 (32.202)	Prec@5 63.281 (62.090)
Epoch: [4][5860/14090]	Time 0.748 (0.752)	Data 0.001 (0.002)	Loss 2.7315 (2.8813)	Prec@1 35.938 (32.204)	Prec@5 67.188 (62.089)
Epoch: [4][5870/14090]	Time 0.737 (0.752)	Data 0.001 (0.002)	Loss 2.6718 (2.8811)	Prec@1 33.594 (32.207)	Prec@5 67.188 (62.093)
Epoch: [4][5880/14090]	Time 0.772 (0.752)	Data 0.002 (0.002)	Loss 3.0716 (2.8812)	Prec@1 32.812 (32.204)	Prec@5 56.250 (62.089)
Epoch: [4][5890/14090]	Time 0.735 (0.752)	Data 0.002 (0.002)	Loss 2.7970 (2.8812)	Prec@1 26.562 (32.206)	Prec@5 62.500 (62.091)
Epoch: [4][5900/14090]	Time 0.730 (0.752)	Data 0.001 (0.002)	Loss 2.6836 (2.8811)	Prec@1 30.469 (32.206)	Prec@5 69.531 (62.094)
Epoch: [4][5910/14090]	Time 0.776 (0.752)	Data 0.001 (0.002)	Loss 3.1140 (2.8811)	Prec@1 26.562 (32.202)	Prec@5 58.594 (62.090)
Epoch: [4][5920/14090]	Time 0.731 (0.752)	Data 0.001 (0.002)	Loss 3.0416 (2.8811)	Prec@1 37.500 (32.207)	Prec@5 57.812 (62.090)
Epoch: [4][5930/14090]	Time 0.751 (0.752)	Data 0.001 (0.002)	Loss 2.9533 (2.8813)	Prec@1 32.031 (32.205)	Prec@5 59.375 (62.085)
Epoch: [4][5940/14090]	Time 0.777 (0.752)	Data 0.001 (0.002)	Loss 2.6618 (2.8812)	Prec@1 36.719 (32.209)	Prec@5 67.188 (62.089)
Epoch: [4][5950/14090]	Time 0.747 (0.752)	Data 0.002 (0.002)	Loss 2.6722 (2.8811)	Prec@1 36.719 (32.212)	Prec@5 68.750 (62.092)
Epoch: [4][5960/14090]	Time 0.743 (0.752)	Data 0.001 (0.002)	Loss 2.7128 (2.8809)	Prec@1 32.031 (32.214)	Prec@5 66.406 (62.094)
Epoch: [4][5970/14090]	Time 0.731 (0.752)	Data 0.001 (0.002)	Loss 2.6319 (2.8809)	Prec@1 39.844 (32.215)	Prec@5 65.625 (62.094)
Epoch: [4][5980/14090]	Time 0.763 (0.752)	Data 0.001 (0.002)	Loss 3.1742 (2.8809)	Prec@1 29.688 (32.214)	Prec@5 56.250 (62.096)
Epoch: [4][5990/14090]	Time 0.745 (0.752)	Data 0.001 (0.002)	Loss 2.8188 (2.8808)	Prec@1 30.469 (32.214)	Prec@5 61.719 (62.098)
Epoch: [4][6000/14090]	Time 0.776 (0.752)	Data 0.001 (0.002)	Loss 2.7738 (2.8806)	Prec@1 34.375 (32.215)	Prec@5 61.719 (62.100)
Epoch: [4][6010/14090]	Time 0.737 (0.752)	Data 0.001 (0.002)	Loss 2.8438 (2.8807)	Prec@1 32.031 (32.214)	Prec@5 61.719 (62.096)
Epoch: [4][6020/14090]	Time 0.736 (0.752)	Data 0.002 (0.002)	Loss 3.0423 (2.8807)	Prec@1 24.219 (32.214)	Prec@5 60.938 (62.096)
Epoch: [4][6030/14090]	Time 0.766 (0.752)	Data 0.001 (0.002)	Loss 3.0811 (2.8807)	Prec@1 35.156 (32.215)	Prec@5 57.031 (62.096)
Epoch: [4][6040/14090]	Time 0.750 (0.752)	Data 0.001 (0.002)	Loss 2.8474 (2.8806)	Prec@1 38.281 (32.218)	Prec@5 64.062 (62.099)
Epoch: [4][6050/14090]	Time 0.769 (0.752)	Data 0.001 (0.002)	Loss 2.6682 (2.8807)	Prec@1 32.031 (32.218)	Prec@5 64.062 (62.098)
Epoch: [4][6060/14090]	Time 0.787 (0.752)	Data 0.001 (0.002)	Loss 2.8248 (2.8807)	Prec@1 32.812 (32.217)	Prec@5 59.375 (62.096)
Epoch: [4][6070/14090]	Time 0.767 (0.752)	Data 0.001 (0.002)	Loss 3.0272 (2.8810)	Prec@1 28.906 (32.215)	Prec@5 57.812 (62.091)
Epoch: [4][6080/14090]	Time 0.772 (0.752)	Data 0.001 (0.002)	Loss 2.9766 (2.8808)	Prec@1 36.719 (32.219)	Prec@5 60.938 (62.095)
Epoch: [4][6090/14090]	Time 0.737 (0.752)	Data 0.002 (0.002)	Loss 3.0084 (2.8808)	Prec@1 26.562 (32.220)	Prec@5 55.469 (62.096)
Epoch: [4][6100/14090]	Time 0.752 (0.752)	Data 0.001 (0.002)	Loss 2.5738 (2.8807)	Prec@1 33.594 (32.217)	Prec@5 72.656 (62.099)
Epoch: [4][6110/14090]	Time 0.783 (0.752)	Data 0.001 (0.002)	Loss 3.2745 (2.8808)	Prec@1 24.219 (32.214)	Prec@5 59.375 (62.099)
Epoch: [4][6120/14090]	Time 0.777 (0.752)	Data 0.001 (0.002)	Loss 2.6373 (2.8809)	Prec@1 36.719 (32.214)	Prec@5 64.844 (62.099)
Epoch: [4][6130/14090]	Time 0.778 (0.752)	Data 0.001 (0.002)	Loss 3.1880 (2.8807)	Prec@1 26.562 (32.217)	Prec@5 57.812 (62.103)
Epoch: [4][6140/14090]	Time 0.757 (0.752)	Data 0.001 (0.002)	Loss 3.0476 (2.8808)	Prec@1 25.000 (32.211)	Prec@5 56.250 (62.101)
Epoch: [4][6150/14090]	Time 0.755 (0.752)	Data 0.001 (0.002)	Loss 2.6925 (2.8808)	Prec@1 32.812 (32.212)	Prec@5 67.969 (62.103)
Epoch: [4][6160/14090]	Time 0.758 (0.752)	Data 0.002 (0.002)	Loss 2.8053 (2.8807)	Prec@1 31.250 (32.212)	Prec@5 63.281 (62.104)
Epoch: [4][6170/14090]	Time 0.733 (0.752)	Data 0.001 (0.002)	Loss 2.8803 (2.8808)	Prec@1 33.594 (32.216)	Prec@5 65.625 (62.105)
Epoch: [4][6180/14090]	Time 0.780 (0.752)	Data 0.001 (0.002)	Loss 2.6766 (2.8807)	Prec@1 26.562 (32.215)	Prec@5 63.281 (62.106)
Epoch: [4][6190/14090]	Time 0.756 (0.752)	Data 0.002 (0.002)	Loss 2.8806 (2.8807)	Prec@1 32.031 (32.213)	Prec@5 61.719 (62.107)
Epoch: [4][6200/14090]	Time 0.725 (0.752)	Data 0.001 (0.002)	Loss 2.6483 (2.8806)	Prec@1 34.375 (32.215)	Prec@5 67.188 (62.111)
Epoch: [4][6210/14090]	Time 0.744 (0.752)	Data 0.001 (0.002)	Loss 2.9724 (2.8805)	Prec@1 35.938 (32.216)	Prec@5 62.500 (62.111)
Epoch: [4][6220/14090]	Time 0.779 (0.752)	Data 0.001 (0.002)	Loss 2.8166 (2.8805)	Prec@1 34.375 (32.216)	Prec@5 64.062 (62.113)
Epoch: [4][6230/14090]	Time 0.733 (0.752)	Data 0.002 (0.002)	Loss 2.6178 (2.8804)	Prec@1 35.938 (32.218)	Prec@5 66.406 (62.116)
Epoch: [4][6240/14090]	Time 0.731 (0.752)	Data 0.001 (0.002)	Loss 2.8130 (2.8804)	Prec@1 30.469 (32.216)	Prec@5 64.062 (62.119)
Epoch: [4][6250/14090]	Time 0.756 (0.752)	Data 0.001 (0.002)	Loss 2.8634 (2.8804)	Prec@1 31.250 (32.214)	Prec@5 60.938 (62.115)
Epoch: [4][6260/14090]	Time 0.752 (0.752)	Data 0.001 (0.002)	Loss 2.6228 (2.8805)	Prec@1 38.281 (32.210)	Prec@5 63.281 (62.114)
Epoch: [4][6270/14090]	Time 0.777 (0.752)	Data 0.001 (0.002)	Loss 2.7284 (2.8805)	Prec@1 35.938 (32.212)	Prec@5 68.750 (62.116)
Epoch: [4][6280/14090]	Time 0.759 (0.752)	Data 0.001 (0.002)	Loss 2.8683 (2.8805)	Prec@1 32.031 (32.209)	Prec@5 57.812 (62.116)
Epoch: [4][6290/14090]	Time 0.783 (0.752)	Data 0.001 (0.002)	Loss 2.6815 (2.8803)	Prec@1 33.594 (32.211)	Prec@5 67.188 (62.120)
Epoch: [4][6300/14090]	Time 0.751 (0.752)	Data 0.002 (0.002)	Loss 2.6932 (2.8804)	Prec@1 32.031 (32.208)	Prec@5 63.281 (62.118)
Epoch: [4][6310/14090]	Time 0.749 (0.752)	Data 0.001 (0.002)	Loss 2.7320 (2.8804)	Prec@1 36.719 (32.211)	Prec@5 62.500 (62.117)
Epoch: [4][6320/14090]	Time 0.751 (0.752)	Data 0.001 (0.002)	Loss 2.8381 (2.8805)	Prec@1 35.938 (32.209)	Prec@5 60.938 (62.117)
Epoch: [4][6330/14090]	Time 0.766 (0.752)	Data 0.001 (0.002)	Loss 2.5122 (2.8805)	Prec@1 36.719 (32.210)	Prec@5 69.531 (62.119)
Epoch: [4][6340/14090]	Time 0.778 (0.752)	Data 0.001 (0.002)	Loss 3.0607 (2.8805)	Prec@1 28.125 (32.211)	Prec@5 55.469 (62.117)
Epoch: [4][6350/14090]	Time 0.740 (0.752)	Data 0.002 (0.002)	Loss 3.0315 (2.8805)	Prec@1 33.594 (32.212)	Prec@5 60.938 (62.119)
Epoch: [4][6360/14090]	Time 0.736 (0.752)	Data 0.001 (0.002)	Loss 3.0395 (2.8805)	Prec@1 27.344 (32.212)	Prec@5 58.594 (62.120)
Epoch: [4][6370/14090]	Time 0.730 (0.752)	Data 0.002 (0.002)	Loss 2.9425 (2.8803)	Prec@1 33.594 (32.213)	Prec@5 59.375 (62.124)
Epoch: [4][6380/14090]	Time 0.732 (0.752)	Data 0.001 (0.002)	Loss 3.0019 (2.8803)	Prec@1 30.469 (32.214)	Prec@5 58.594 (62.126)
Epoch: [4][6390/14090]	Time 0.748 (0.752)	Data 0.001 (0.002)	Loss 3.0041 (2.8803)	Prec@1 31.250 (32.213)	Prec@5 58.594 (62.129)
Epoch: [4][6400/14090]	Time 0.736 (0.752)	Data 0.001 (0.002)	Loss 2.9351 (2.8801)	Prec@1 34.375 (32.215)	Prec@5 55.469 (62.133)
Epoch: [4][6410/14090]	Time 0.727 (0.752)	Data 0.001 (0.002)	Loss 2.4711 (2.8799)	Prec@1 40.625 (32.217)	Prec@5 64.844 (62.134)
Epoch: [4][6420/14090]	Time 0.756 (0.752)	Data 0.002 (0.002)	Loss 2.9711 (2.8799)	Prec@1 30.469 (32.219)	Prec@5 57.812 (62.134)
Epoch: [4][6430/14090]	Time 0.764 (0.752)	Data 0.001 (0.002)	Loss 2.9218 (2.8800)	Prec@1 32.031 (32.219)	Prec@5 69.531 (62.134)
Epoch: [4][6440/14090]	Time 0.735 (0.752)	Data 0.002 (0.002)	Loss 2.9854 (2.8800)	Prec@1 32.031 (32.218)	Prec@5 67.188 (62.133)
Epoch: [4][6450/14090]	Time 0.765 (0.752)	Data 0.001 (0.002)	Loss 3.1763 (2.8801)	Prec@1 25.000 (32.213)	Prec@5 57.031 (62.132)
Epoch: [4][6460/14090]	Time 0.735 (0.752)	Data 0.001 (0.002)	Loss 2.7455 (2.8801)	Prec@1 36.719 (32.213)	Prec@5 62.500 (62.131)
Epoch: [4][6470/14090]	Time 0.748 (0.752)	Data 0.001 (0.002)	Loss 3.0826 (2.8801)	Prec@1 29.688 (32.214)	Prec@5 55.469 (62.133)
Epoch: [4][6480/14090]	Time 0.738 (0.752)	Data 0.001 (0.002)	Loss 2.9126 (2.8801)	Prec@1 30.469 (32.213)	Prec@5 63.281 (62.134)
Epoch: [4][6490/14090]	Time 0.747 (0.752)	Data 0.001 (0.002)	Loss 3.0674 (2.8802)	Prec@1 25.781 (32.212)	Prec@5 62.500 (62.133)
Epoch: [4][6500/14090]	Time 0.741 (0.752)	Data 0.001 (0.002)	Loss 3.0090 (2.8802)	Prec@1 32.031 (32.210)	Prec@5 56.250 (62.131)
Epoch: [4][6510/14090]	Time 0.759 (0.752)	Data 0.002 (0.002)	Loss 3.0081 (2.8801)	Prec@1 32.812 (32.211)	Prec@5 58.594 (62.131)
Epoch: [4][6520/14090]	Time 0.728 (0.752)	Data 0.001 (0.002)	Loss 2.8655 (2.8800)	Prec@1 32.812 (32.213)	Prec@5 60.938 (62.132)
Epoch: [4][6530/14090]	Time 0.754 (0.752)	Data 0.001 (0.002)	Loss 2.8033 (2.8801)	Prec@1 34.375 (32.213)	Prec@5 59.375 (62.131)
Epoch: [4][6540/14090]	Time 0.778 (0.752)	Data 0.001 (0.002)	Loss 2.9113 (2.8801)	Prec@1 36.719 (32.214)	Prec@5 59.375 (62.130)
Epoch: [4][6550/14090]	Time 0.738 (0.752)	Data 0.001 (0.002)	Loss 3.0956 (2.8800)	Prec@1 31.250 (32.217)	Prec@5 53.906 (62.130)
Epoch: [4][6560/14090]	Time 0.758 (0.752)	Data 0.001 (0.002)	Loss 2.8256 (2.8801)	Prec@1 35.156 (32.217)	Prec@5 64.062 (62.127)
Epoch: [4][6570/14090]	Time 0.747 (0.752)	Data 0.001 (0.002)	Loss 2.8087 (2.8802)	Prec@1 32.812 (32.215)	Prec@5 58.594 (62.124)
Epoch: [4][6580/14090]	Time 0.740 (0.752)	Data 0.002 (0.002)	Loss 3.0622 (2.8803)	Prec@1 28.125 (32.215)	Prec@5 62.500 (62.123)
Epoch: [4][6590/14090]	Time 0.740 (0.752)	Data 0.001 (0.002)	Loss 2.8577 (2.8803)	Prec@1 29.688 (32.215)	Prec@5 60.156 (62.123)
Epoch: [4][6600/14090]	Time 0.771 (0.752)	Data 0.001 (0.002)	Loss 2.9589 (2.8802)	Prec@1 33.594 (32.218)	Prec@5 61.719 (62.125)
Epoch: [4][6610/14090]	Time 0.728 (0.752)	Data 0.001 (0.002)	Loss 2.8125 (2.8800)	Prec@1 28.906 (32.220)	Prec@5 63.281 (62.128)
Epoch: [4][6620/14090]	Time 0.749 (0.752)	Data 0.001 (0.002)	Loss 3.0560 (2.8800)	Prec@1 26.562 (32.218)	Prec@5 60.156 (62.129)
Epoch: [4][6630/14090]	Time 0.743 (0.752)	Data 0.001 (0.002)	Loss 2.6943 (2.8801)	Prec@1 35.156 (32.216)	Prec@5 65.625 (62.127)
Epoch: [4][6640/14090]	Time 0.753 (0.752)	Data 0.001 (0.002)	Loss 3.2270 (2.8801)	Prec@1 27.344 (32.216)	Prec@5 59.375 (62.129)
Epoch: [4][6650/14090]	Time 0.741 (0.752)	Data 0.002 (0.002)	Loss 2.8157 (2.8799)	Prec@1 36.719 (32.218)	Prec@5 62.500 (62.132)
Epoch: [4][6660/14090]	Time 0.733 (0.752)	Data 0.001 (0.002)	Loss 2.6731 (2.8799)	Prec@1 39.844 (32.221)	Prec@5 66.406 (62.134)
Epoch: [4][6670/14090]	Time 0.758 (0.752)	Data 0.001 (0.002)	Loss 2.5701 (2.8798)	Prec@1 38.281 (32.221)	Prec@5 74.219 (62.136)
Epoch: [4][6680/14090]	Time 0.748 (0.752)	Data 0.001 (0.002)	Loss 2.8698 (2.8797)	Prec@1 33.594 (32.223)	Prec@5 59.375 (62.136)
Epoch: [4][6690/14090]	Time 0.746 (0.752)	Data 0.001 (0.002)	Loss 2.7980 (2.8798)	Prec@1 32.812 (32.222)	Prec@5 64.062 (62.136)
Epoch: [4][6700/14090]	Time 0.727 (0.752)	Data 0.001 (0.002)	Loss 2.7797 (2.8798)	Prec@1 37.500 (32.222)	Prec@5 62.500 (62.135)
Epoch: [4][6710/14090]	Time 0.779 (0.752)	Data 0.001 (0.002)	Loss 3.1241 (2.8799)	Prec@1 34.375 (32.222)	Prec@5 60.156 (62.135)
Epoch: [4][6720/14090]	Time 0.724 (0.752)	Data 0.002 (0.002)	Loss 2.7292 (2.8799)	Prec@1 40.625 (32.223)	Prec@5 66.406 (62.134)
Epoch: [4][6730/14090]	Time 0.771 (0.752)	Data 0.001 (0.002)	Loss 2.9181 (2.8799)	Prec@1 27.344 (32.224)	Prec@5 61.719 (62.136)
Epoch: [4][6740/14090]	Time 0.737 (0.752)	Data 0.001 (0.002)	Loss 2.8294 (2.8800)	Prec@1 36.719 (32.222)	Prec@5 58.594 (62.133)
Epoch: [4][6750/14090]	Time 0.788 (0.752)	Data 0.002 (0.002)	Loss 2.7549 (2.8801)	Prec@1 40.625 (32.223)	Prec@5 63.281 (62.131)
Epoch: [4][6760/14090]	Time 0.760 (0.752)	Data 0.001 (0.002)	Loss 3.0003 (2.8800)	Prec@1 29.688 (32.224)	Prec@5 60.156 (62.134)
Epoch: [4][6770/14090]	Time 0.728 (0.752)	Data 0.001 (0.002)	Loss 3.0495 (2.8801)	Prec@1 27.344 (32.222)	Prec@5 59.375 (62.133)
Epoch: [4][6780/14090]	Time 0.765 (0.752)	Data 0.001 (0.002)	Loss 2.7542 (2.8801)	Prec@1 38.281 (32.223)	Prec@5 64.062 (62.133)
Epoch: [4][6790/14090]	Time 0.767 (0.752)	Data 0.003 (0.002)	Loss 3.0005 (2.8801)	Prec@1 34.375 (32.225)	Prec@5 57.812 (62.133)
Epoch: [4][6800/14090]	Time 0.777 (0.752)	Data 0.001 (0.002)	Loss 2.9418 (2.8801)	Prec@1 25.781 (32.226)	Prec@5 63.281 (62.132)
Epoch: [4][6810/14090]	Time 0.751 (0.752)	Data 0.001 (0.002)	Loss 2.9861 (2.8801)	Prec@1 30.469 (32.224)	Prec@5 63.281 (62.131)
Epoch: [4][6820/14090]	Time 0.741 (0.752)	Data 0.001 (0.002)	Loss 2.8766 (2.8801)	Prec@1 35.938 (32.225)	Prec@5 63.281 (62.132)
Epoch: [4][6830/14090]	Time 0.752 (0.752)	Data 0.001 (0.002)	Loss 2.9360 (2.8801)	Prec@1 32.031 (32.225)	Prec@5 65.625 (62.131)
Epoch: [4][6840/14090]	Time 0.746 (0.752)	Data 0.001 (0.002)	Loss 2.8566 (2.8802)	Prec@1 31.250 (32.224)	Prec@5 67.188 (62.134)
Epoch: [4][6850/14090]	Time 0.733 (0.752)	Data 0.001 (0.002)	Loss 2.4793 (2.8800)	Prec@1 38.281 (32.226)	Prec@5 69.531 (62.139)
Epoch: [4][6860/14090]	Time 0.771 (0.752)	Data 0.002 (0.002)	Loss 2.9199 (2.8801)	Prec@1 32.031 (32.224)	Prec@5 61.719 (62.138)
Epoch: [4][6870/14090]	Time 0.766 (0.752)	Data 0.001 (0.002)	Loss 2.9050 (2.8802)	Prec@1 34.375 (32.217)	Prec@5 54.688 (62.131)
Epoch: [4][6880/14090]	Time 0.759 (0.752)	Data 0.001 (0.002)	Loss 2.7141 (2.8802)	Prec@1 28.906 (32.218)	Prec@5 60.156 (62.133)
Epoch: [4][6890/14090]	Time 0.730 (0.752)	Data 0.001 (0.002)	Loss 3.1806 (2.8802)	Prec@1 23.438 (32.216)	Prec@5 53.906 (62.131)
Epoch: [4][6900/14090]	Time 0.759 (0.752)	Data 0.001 (0.002)	Loss 3.4383 (2.8804)	Prec@1 23.438 (32.214)	Prec@5 48.438 (62.127)
Epoch: [4][6910/14090]	Time 0.739 (0.752)	Data 0.001 (0.002)	Loss 3.0615 (2.8804)	Prec@1 31.250 (32.213)	Prec@5 56.250 (62.125)
Epoch: [4][6920/14090]	Time 0.740 (0.752)	Data 0.001 (0.002)	Loss 2.9291 (2.8805)	Prec@1 35.938 (32.214)	Prec@5 54.688 (62.123)
Epoch: [4][6930/14090]	Time 0.748 (0.752)	Data 0.002 (0.002)	Loss 2.7725 (2.8803)	Prec@1 35.156 (32.217)	Prec@5 62.500 (62.127)
Epoch: [4][6940/14090]	Time 0.723 (0.752)	Data 0.001 (0.002)	Loss 2.8829 (2.8802)	Prec@1 34.375 (32.222)	Prec@5 64.062 (62.129)
Epoch: [4][6950/14090]	Time 0.777 (0.752)	Data 0.001 (0.002)	Loss 2.8744 (2.8802)	Prec@1 32.812 (32.221)	Prec@5 64.062 (62.128)
Epoch: [4][6960/14090]	Time 0.752 (0.752)	Data 0.001 (0.002)	Loss 3.0383 (2.8803)	Prec@1 26.562 (32.218)	Prec@5 60.156 (62.128)
Epoch: [4][6970/14090]	Time 0.736 (0.752)	Data 0.001 (0.002)	Loss 2.9216 (2.8804)	Prec@1 31.250 (32.216)	Prec@5 65.625 (62.129)
Epoch: [4][6980/14090]	Time 0.760 (0.752)	Data 0.001 (0.002)	Loss 2.7589 (2.8802)	Prec@1 35.938 (32.218)	Prec@5 67.969 (62.133)
Epoch: [4][6990/14090]	Time 0.757 (0.752)	Data 0.001 (0.002)	Loss 2.8648 (2.8802)	Prec@1 35.156 (32.218)	Prec@5 64.062 (62.134)
Epoch: [4][7000/14090]	Time 0.778 (0.752)	Data 0.002 (0.002)	Loss 2.9443 (2.8802)	Prec@1 34.375 (32.220)	Prec@5 61.719 (62.135)
Epoch: [4][7010/14090]	Time 0.756 (0.752)	Data 0.001 (0.002)	Loss 2.7746 (2.8803)	Prec@1 32.031 (32.216)	Prec@5 67.188 (62.134)
Epoch: [4][7020/14090]	Time 0.751 (0.752)	Data 0.001 (0.002)	Loss 2.9693 (2.8805)	Prec@1 29.688 (32.212)	Prec@5 62.500 (62.129)
Epoch: [4][7030/14090]	Time 0.759 (0.752)	Data 0.001 (0.002)	Loss 2.9016 (2.8805)	Prec@1 28.906 (32.214)	Prec@5 61.719 (62.129)
Epoch: [4][7040/14090]	Time 0.773 (0.752)	Data 0.001 (0.002)	Loss 2.7821 (2.8804)	Prec@1 29.688 (32.217)	Prec@5 63.281 (62.129)
Epoch: [4][7050/14090]	Time 0.737 (0.752)	Data 0.001 (0.002)	Loss 2.7376 (2.8803)	Prec@1 34.375 (32.221)	Prec@5 64.062 (62.131)
Epoch: [4][7060/14090]	Time 0.738 (0.752)	Data 0.001 (0.002)	Loss 2.8281 (2.8802)	Prec@1 34.375 (32.222)	Prec@5 57.031 (62.131)
Epoch: [4][7070/14090]	Time 0.784 (0.752)	Data 0.002 (0.002)	Loss 2.9897 (2.8802)	Prec@1 30.469 (32.224)	Prec@5 64.062 (62.135)
Epoch: [4][7080/14090]	Time 0.761 (0.752)	Data 0.001 (0.002)	Loss 2.7702 (2.8801)	Prec@1 41.406 (32.223)	Prec@5 60.938 (62.133)
Epoch: [4][7090/14090]	Time 0.748 (0.752)	Data 0.001 (0.001)	Loss 2.9242 (2.8802)	Prec@1 28.125 (32.224)	Prec@5 56.250 (62.132)
Epoch: [4][7100/14090]	Time 0.750 (0.752)	Data 0.001 (0.001)	Loss 2.7982 (2.8802)	Prec@1 28.906 (32.225)	Prec@5 66.406 (62.131)
Epoch: [4][7110/14090]	Time 0.770 (0.752)	Data 0.001 (0.001)	Loss 2.9132 (2.8802)	Prec@1 34.375 (32.225)	Prec@5 64.844 (62.133)
Epoch: [4][7120/14090]	Time 0.745 (0.752)	Data 0.001 (0.001)	Loss 2.4497 (2.8800)	Prec@1 46.094 (32.228)	Prec@5 70.312 (62.137)
Epoch: [4][7130/14090]	Time 0.735 (0.752)	Data 0.001 (0.001)	Loss 2.7588 (2.8799)	Prec@1 36.719 (32.232)	Prec@5 66.406 (62.141)
Epoch: [4][7140/14090]	Time 0.744 (0.752)	Data 0.003 (0.001)	Loss 2.8394 (2.8799)	Prec@1 32.031 (32.230)	Prec@5 62.500 (62.141)
Epoch: [4][7150/14090]	Time 0.753 (0.752)	Data 0.001 (0.001)	Loss 2.9846 (2.8800)	Prec@1 30.469 (32.229)	Prec@5 60.938 (62.139)
Epoch: [4][7160/14090]	Time 0.736 (0.752)	Data 0.001 (0.001)	Loss 3.0211 (2.8800)	Prec@1 25.781 (32.226)	Prec@5 61.719 (62.139)
Epoch: [4][7170/14090]	Time 0.770 (0.752)	Data 0.001 (0.001)	Loss 3.0157 (2.8800)	Prec@1 32.812 (32.224)	Prec@5 57.812 (62.138)
Epoch: [4][7180/14090]	Time 0.725 (0.752)	Data 0.001 (0.001)	Loss 2.8290 (2.8800)	Prec@1 28.906 (32.226)	Prec@5 63.281 (62.141)
Epoch: [4][7190/14090]	Time 0.740 (0.752)	Data 0.001 (0.001)	Loss 3.0612 (2.8801)	Prec@1 28.906 (32.223)	Prec@5 54.688 (62.138)
Epoch: [4][7200/14090]	Time 0.785 (0.752)	Data 0.001 (0.001)	Loss 2.9562 (2.8801)	Prec@1 30.469 (32.222)	Prec@5 63.281 (62.139)
Epoch: [4][7210/14090]	Time 0.755 (0.752)	Data 0.002 (0.001)	Loss 2.8149 (2.8800)	Prec@1 29.688 (32.222)	Prec@5 60.938 (62.139)
Epoch: [4][7220/14090]	Time 0.736 (0.752)	Data 0.001 (0.001)	Loss 2.9652 (2.8799)	Prec@1 35.156 (32.228)	Prec@5 61.719 (62.142)
Epoch: [4][7230/14090]	Time 0.741 (0.752)	Data 0.001 (0.001)	Loss 2.9794 (2.8799)	Prec@1 33.594 (32.226)	Prec@5 59.375 (62.141)
Epoch: [4][7240/14090]	Time 0.786 (0.752)	Data 0.001 (0.001)	Loss 2.8776 (2.8800)	Prec@1 32.812 (32.224)	Prec@5 64.062 (62.140)
Epoch: [4][7250/14090]	Time 0.744 (0.752)	Data 0.001 (0.001)	Loss 2.7108 (2.8799)	Prec@1 38.281 (32.225)	Prec@5 64.844 (62.142)
Epoch: [4][7260/14090]	Time 0.758 (0.752)	Data 0.001 (0.001)	Loss 2.5142 (2.8799)	Prec@1 36.719 (32.224)	Prec@5 68.750 (62.142)
Epoch: [4][7270/14090]	Time 0.755 (0.752)	Data 0.001 (0.001)	Loss 3.1180 (2.8799)	Prec@1 25.000 (32.224)	Prec@5 57.812 (62.143)
Epoch: [4][7280/14090]	Time 0.782 (0.752)	Data 0.002 (0.001)	Loss 2.9135 (2.8799)	Prec@1 31.250 (32.225)	Prec@5 58.594 (62.142)
Epoch: [4][7290/14090]	Time 0.795 (0.752)	Data 0.001 (0.001)	Loss 2.8735 (2.8800)	Prec@1 35.156 (32.224)	Prec@5 64.062 (62.142)
Epoch: [4][7300/14090]	Time 0.728 (0.752)	Data 0.001 (0.001)	Loss 2.7635 (2.8800)	Prec@1 37.500 (32.223)	Prec@5 69.531 (62.141)
Epoch: [4][7310/14090]	Time 0.765 (0.752)	Data 0.001 (0.001)	Loss 3.0338 (2.8801)	Prec@1 26.562 (32.224)	Prec@5 53.125 (62.138)
Epoch: [4][7320/14090]	Time 0.726 (0.752)	Data 0.001 (0.001)	Loss 3.1205 (2.8801)	Prec@1 31.250 (32.223)	Prec@5 62.500 (62.139)
Epoch: [4][7330/14090]	Time 0.751 (0.752)	Data 0.001 (0.001)	Loss 3.0342 (2.8802)	Prec@1 35.938 (32.223)	Prec@5 57.031 (62.136)
Epoch: [4][7340/14090]	Time 0.779 (0.752)	Data 0.001 (0.001)	Loss 2.7650 (2.8802)	Prec@1 36.719 (32.225)	Prec@5 63.281 (62.133)
Epoch: [4][7350/14090]	Time 0.742 (0.752)	Data 0.002 (0.001)	Loss 2.9336 (2.8802)	Prec@1 34.375 (32.225)	Prec@5 61.719 (62.133)
Epoch: [4][7360/14090]	Time 0.758 (0.752)	Data 0.001 (0.001)	Loss 2.8920 (2.8803)	Prec@1 30.469 (32.222)	Prec@5 59.375 (62.132)
Epoch: [4][7370/14090]	Time 0.738 (0.752)	Data 0.002 (0.001)	Loss 2.8304 (2.8803)	Prec@1 31.250 (32.222)	Prec@5 64.062 (62.130)
Epoch: [4][7380/14090]	Time 0.778 (0.752)	Data 0.001 (0.001)	Loss 2.8323 (2.8803)	Prec@1 31.250 (32.220)	Prec@5 63.281 (62.130)
Epoch: [4][7390/14090]	Time 0.744 (0.752)	Data 0.001 (0.001)	Loss 2.9848 (2.8802)	Prec@1 28.125 (32.220)	Prec@5 57.812 (62.132)
Epoch: [4][7400/14090]	Time 0.730 (0.752)	Data 0.001 (0.001)	Loss 2.9363 (2.8802)	Prec@1 29.688 (32.221)	Prec@5 59.375 (62.132)
Epoch: [4][7410/14090]	Time 0.727 (0.752)	Data 0.001 (0.001)	Loss 3.1501 (2.8803)	Prec@1 29.688 (32.220)	Prec@5 50.000 (62.130)
Epoch: [4][7420/14090]	Time 0.782 (0.752)	Data 0.003 (0.001)	Loss 2.8628 (2.8801)	Prec@1 29.688 (32.222)	Prec@5 60.938 (62.133)
Epoch: [4][7430/14090]	Time 0.760 (0.752)	Data 0.001 (0.001)	Loss 3.0763 (2.8802)	Prec@1 32.812 (32.220)	Prec@5 58.594 (62.133)
Epoch: [4][7440/14090]	Time 0.754 (0.752)	Data 0.001 (0.001)	Loss 3.1543 (2.8803)	Prec@1 25.000 (32.217)	Prec@5 56.250 (62.132)
Epoch: [4][7450/14090]	Time 0.760 (0.752)	Data 0.001 (0.001)	Loss 3.2689 (2.8803)	Prec@1 26.562 (32.215)	Prec@5 52.344 (62.130)
Epoch: [4][7460/14090]	Time 0.744 (0.752)	Data 0.001 (0.001)	Loss 2.6988 (2.8803)	Prec@1 35.156 (32.214)	Prec@5 67.969 (62.130)
Epoch: [4][7470/14090]	Time 0.739 (0.752)	Data 0.001 (0.001)	Loss 2.9134 (2.8804)	Prec@1 28.906 (32.214)	Prec@5 61.719 (62.130)
Epoch: [4][7480/14090]	Time 0.738 (0.752)	Data 0.001 (0.001)	Loss 2.9638 (2.8804)	Prec@1 27.344 (32.213)	Prec@5 61.719 (62.130)
Epoch: [4][7490/14090]	Time 0.733 (0.752)	Data 0.002 (0.001)	Loss 2.8802 (2.8803)	Prec@1 27.344 (32.216)	Prec@5 62.500 (62.132)
Epoch: [4][7500/14090]	Time 0.732 (0.752)	Data 0.001 (0.001)	Loss 2.9550 (2.8805)	Prec@1 32.031 (32.214)	Prec@5 59.375 (62.129)
Epoch: [4][7510/14090]	Time 0.738 (0.752)	Data 0.001 (0.001)	Loss 2.8561 (2.8804)	Prec@1 35.938 (32.214)	Prec@5 61.719 (62.130)
Epoch: [4][7520/14090]	Time 0.757 (0.752)	Data 0.001 (0.001)	Loss 2.8065 (2.8803)	Prec@1 35.156 (32.215)	Prec@5 71.094 (62.134)
Epoch: [4][7530/14090]	Time 0.737 (0.752)	Data 0.002 (0.001)	Loss 2.7236 (2.8803)	Prec@1 32.031 (32.217)	Prec@5 64.062 (62.136)
Epoch: [4][7540/14090]	Time 0.734 (0.752)	Data 0.001 (0.001)	Loss 3.0433 (2.8803)	Prec@1 30.469 (32.217)	Prec@5 53.906 (62.134)
Epoch: [4][7550/14090]	Time 0.747 (0.752)	Data 0.001 (0.001)	Loss 2.8237 (2.8801)	Prec@1 35.156 (32.222)	Prec@5 63.281 (62.139)
Epoch: [4][7560/14090]	Time 0.780 (0.752)	Data 0.002 (0.001)	Loss 2.9572 (2.8800)	Prec@1 32.031 (32.224)	Prec@5 57.031 (62.139)
Epoch: [4][7570/14090]	Time 0.771 (0.752)	Data 0.001 (0.001)	Loss 2.8481 (2.8799)	Prec@1 36.719 (32.225)	Prec@5 67.188 (62.140)
Epoch: [4][7580/14090]	Time 0.733 (0.752)	Data 0.001 (0.001)	Loss 3.0018 (2.8799)	Prec@1 31.250 (32.226)	Prec@5 60.156 (62.141)
Epoch: [4][7590/14090]	Time 0.735 (0.752)	Data 0.001 (0.001)	Loss 3.1712 (2.8800)	Prec@1 28.906 (32.223)	Prec@5 58.594 (62.138)
Epoch: [4][7600/14090]	Time 0.743 (0.752)	Data 0.001 (0.001)	Loss 3.0564 (2.8801)	Prec@1 34.375 (32.223)	Prec@5 61.719 (62.137)
Epoch: [4][7610/14090]	Time 0.738 (0.752)	Data 0.001 (0.001)	Loss 2.8426 (2.8802)	Prec@1 31.250 (32.222)	Prec@5 65.625 (62.135)
Epoch: [4][7620/14090]	Time 0.739 (0.752)	Data 0.001 (0.001)	Loss 2.5791 (2.8801)	Prec@1 39.844 (32.224)	Prec@5 69.531 (62.136)
Epoch: [4][7630/14090]	Time 0.764 (0.752)	Data 0.002 (0.001)	Loss 2.9722 (2.8800)	Prec@1 38.281 (32.227)	Prec@5 61.719 (62.136)
Epoch: [4][7640/14090]	Time 0.757 (0.752)	Data 0.001 (0.001)	Loss 2.9687 (2.8799)	Prec@1 33.594 (32.226)	Prec@5 61.719 (62.137)
Epoch: [4][7650/14090]	Time 0.769 (0.752)	Data 0.001 (0.001)	Loss 3.0666 (2.8800)	Prec@1 32.031 (32.227)	Prec@5 56.250 (62.137)
Epoch: [4][7660/14090]	Time 0.775 (0.752)	Data 0.001 (0.001)	Loss 3.2061 (2.8799)	Prec@1 27.344 (32.228)	Prec@5 52.344 (62.138)
Epoch: [4][7670/14090]	Time 0.757 (0.752)	Data 0.001 (0.001)	Loss 2.8587 (2.8800)	Prec@1 35.156 (32.229)	Prec@5 63.281 (62.137)
Epoch: [4][7680/14090]	Time 0.747 (0.752)	Data 0.001 (0.001)	Loss 2.7570 (2.8800)	Prec@1 32.812 (32.227)	Prec@5 65.625 (62.135)
Epoch: [4][7690/14090]	Time 0.760 (0.752)	Data 0.001 (0.001)	Loss 2.9034 (2.8801)	Prec@1 30.469 (32.226)	Prec@5 64.844 (62.134)
Epoch: [4][7700/14090]	Time 0.743 (0.752)	Data 0.002 (0.001)	Loss 2.9951 (2.8801)	Prec@1 34.375 (32.229)	Prec@5 55.469 (62.134)
Epoch: [4][7710/14090]	Time 0.734 (0.752)	Data 0.001 (0.001)	Loss 3.0781 (2.8802)	Prec@1 28.906 (32.229)	Prec@5 57.031 (62.132)
Epoch: [4][7720/14090]	Time 0.737 (0.752)	Data 0.001 (0.001)	Loss 2.4343 (2.8800)	Prec@1 39.844 (32.231)	Prec@5 67.969 (62.134)
Epoch: [4][7730/14090]	Time 0.757 (0.752)	Data 0.001 (0.001)	Loss 2.7931 (2.8800)	Prec@1 30.469 (32.233)	Prec@5 63.281 (62.136)
Epoch: [4][7740/14090]	Time 0.744 (0.752)	Data 0.001 (0.001)	Loss 2.9128 (2.8800)	Prec@1 29.688 (32.232)	Prec@5 59.375 (62.137)
Epoch: [4][7750/14090]	Time 0.773 (0.752)	Data 0.000 (0.001)	Loss 3.0738 (2.8800)	Prec@1 35.156 (32.232)	Prec@5 64.062 (62.140)
Epoch: [4][7760/14090]	Time 0.720 (0.752)	Data 0.001 (0.001)	Loss 3.0125 (2.8800)	Prec@1 25.781 (32.231)	Prec@5 56.250 (62.141)
Epoch: [4][7770/14090]	Time 0.756 (0.752)	Data 0.002 (0.001)	Loss 2.6474 (2.8799)	Prec@1 43.750 (32.233)	Prec@5 66.406 (62.141)
Epoch: [4][7780/14090]	Time 0.741 (0.752)	Data 0.001 (0.001)	Loss 2.6889 (2.8800)	Prec@1 35.156 (32.231)	Prec@5 67.188 (62.140)
Epoch: [4][7790/14090]	Time 0.741 (0.752)	Data 0.001 (0.001)	Loss 2.9568 (2.8800)	Prec@1 28.906 (32.231)	Prec@5 64.062 (62.141)
Epoch: [4][7800/14090]	Time 0.776 (0.752)	Data 0.001 (0.001)	Loss 2.9085 (2.8800)	Prec@1 31.250 (32.231)	Prec@5 64.062 (62.141)
Epoch: [4][7810/14090]	Time 0.736 (0.752)	Data 0.001 (0.001)	Loss 2.7376 (2.8799)	Prec@1 35.156 (32.230)	Prec@5 59.375 (62.143)
Epoch: [4][7820/14090]	Time 0.755 (0.752)	Data 0.001 (0.001)	Loss 2.6397 (2.8798)	Prec@1 33.594 (32.230)	Prec@5 66.406 (62.142)
Epoch: [4][7830/14090]	Time 0.739 (0.752)	Data 0.001 (0.001)	Loss 3.0002 (2.8798)	Prec@1 31.250 (32.229)	Prec@5 64.844 (62.143)
Epoch: [4][7840/14090]	Time 0.747 (0.752)	Data 0.001 (0.001)	Loss 2.6650 (2.8798)	Prec@1 37.500 (32.230)	Prec@5 65.625 (62.143)
Epoch: [4][7850/14090]	Time 0.767 (0.752)	Data 0.001 (0.001)	Loss 2.9268 (2.8798)	Prec@1 35.938 (32.229)	Prec@5 60.938 (62.141)
Epoch: [4][7860/14090]	Time 0.760 (0.752)	Data 0.001 (0.001)	Loss 2.9583 (2.8799)	Prec@1 35.156 (32.229)	Prec@5 56.250 (62.141)
Epoch: [4][7870/14090]	Time 0.731 (0.752)	Data 0.001 (0.001)	Loss 2.7910 (2.8799)	Prec@1 34.375 (32.228)	Prec@5 67.188 (62.143)
Epoch: [4][7880/14090]	Time 0.741 (0.752)	Data 0.001 (0.001)	Loss 2.7843 (2.8799)	Prec@1 33.594 (32.227)	Prec@5 63.281 (62.142)
Epoch: [4][7890/14090]	Time 0.767 (0.752)	Data 0.001 (0.001)	Loss 2.8883 (2.8799)	Prec@1 32.812 (32.227)	Prec@5 62.500 (62.143)
Epoch: [4][7900/14090]	Time 0.744 (0.752)	Data 0.001 (0.001)	Loss 2.8721 (2.8798)	Prec@1 32.812 (32.229)	Prec@5 62.500 (62.142)
Epoch: [4][7910/14090]	Time 0.758 (0.752)	Data 0.003 (0.001)	Loss 2.8464 (2.8798)	Prec@1 28.125 (32.230)	Prec@5 64.062 (62.144)
Epoch: [4][7920/14090]	Time 0.757 (0.752)	Data 0.001 (0.001)	Loss 3.0170 (2.8797)	Prec@1 31.250 (32.234)	Prec@5 59.375 (62.145)
Epoch: [4][7930/14090]	Time 0.747 (0.752)	Data 0.001 (0.001)	Loss 2.9212 (2.8796)	Prec@1 30.469 (32.234)	Prec@5 65.625 (62.148)
Epoch: [4][7940/14090]	Time 0.757 (0.752)	Data 0.001 (0.001)	Loss 3.1652 (2.8796)	Prec@1 28.125 (32.235)	Prec@5 57.031 (62.148)
Epoch: [4][7950/14090]	Time 0.734 (0.752)	Data 0.001 (0.001)	Loss 2.9675 (2.8796)	Prec@1 31.250 (32.237)	Prec@5 61.719 (62.146)
Epoch: [4][7960/14090]	Time 0.779 (0.752)	Data 0.001 (0.001)	Loss 2.8638 (2.8796)	Prec@1 35.156 (32.237)	Prec@5 61.719 (62.145)
Epoch: [4][7970/14090]	Time 0.755 (0.752)	Data 0.001 (0.001)	Loss 2.7451 (2.8796)	Prec@1 35.156 (32.238)	Prec@5 61.719 (62.144)
Epoch: [4][7980/14090]	Time 0.778 (0.752)	Data 0.003 (0.001)	Loss 3.0336 (2.8796)	Prec@1 30.469 (32.238)	Prec@5 61.719 (62.144)
Epoch: [4][7990/14090]	Time 0.775 (0.752)	Data 0.001 (0.001)	Loss 2.7501 (2.8796)	Prec@1 34.375 (32.240)	Prec@5 64.062 (62.146)
Epoch: [4][8000/14090]	Time 0.734 (0.752)	Data 0.001 (0.001)	Loss 3.2672 (2.8796)	Prec@1 21.094 (32.239)	Prec@5 53.906 (62.146)
Epoch: [4][8010/14090]	Time 0.753 (0.752)	Data 0.001 (0.001)	Loss 2.7504 (2.8796)	Prec@1 38.281 (32.237)	Prec@5 66.406 (62.148)
Epoch: [4][8020/14090]	Time 0.731 (0.752)	Data 0.001 (0.001)	Loss 2.7851 (2.8796)	Prec@1 35.156 (32.236)	Prec@5 67.969 (62.148)
Epoch: [4][8030/14090]	Time 0.734 (0.752)	Data 0.001 (0.001)	Loss 2.6239 (2.8795)	Prec@1 39.062 (32.237)	Prec@5 66.406 (62.149)
Epoch: [4][8040/14090]	Time 0.752 (0.752)	Data 0.001 (0.001)	Loss 2.7963 (2.8796)	Prec@1 38.281 (32.239)	Prec@5 60.156 (62.147)
Epoch: [4][8050/14090]	Time 0.753 (0.752)	Data 0.002 (0.001)	Loss 2.9395 (2.8795)	Prec@1 32.031 (32.240)	Prec@5 64.844 (62.150)
Epoch: [4][8060/14090]	Time 0.779 (0.752)	Data 0.001 (0.001)	Loss 2.8388 (2.8794)	Prec@1 38.281 (32.242)	Prec@5 63.281 (62.153)
Epoch: [4][8070/14090]	Time 0.730 (0.752)	Data 0.001 (0.001)	Loss 2.7152 (2.8794)	Prec@1 35.938 (32.244)	Prec@5 71.094 (62.154)
Epoch: [4][8080/14090]	Time 0.753 (0.752)	Data 0.001 (0.001)	Loss 2.9536 (2.8792)	Prec@1 31.250 (32.246)	Prec@5 62.500 (62.157)
Epoch: [4][8090/14090]	Time 0.792 (0.752)	Data 0.001 (0.001)	Loss 2.7853 (2.8791)	Prec@1 28.125 (32.247)	Prec@5 65.625 (62.159)
Epoch: [4][8100/14090]	Time 0.726 (0.752)	Data 0.001 (0.001)	Loss 2.5819 (2.8791)	Prec@1 35.156 (32.246)	Prec@5 68.750 (62.159)
Epoch: [4][8110/14090]	Time 0.745 (0.752)	Data 0.001 (0.001)	Loss 2.9668 (2.8791)	Prec@1 30.469 (32.246)	Prec@5 61.719 (62.157)
Epoch: [4][8120/14090]	Time 0.759 (0.752)	Data 0.001 (0.001)	Loss 2.7718 (2.8792)	Prec@1 32.031 (32.245)	Prec@5 67.188 (62.155)
Epoch: [4][8130/14090]	Time 0.761 (0.752)	Data 0.001 (0.001)	Loss 2.8153 (2.8791)	Prec@1 33.594 (32.246)	Prec@5 60.938 (62.156)
Epoch: [4][8140/14090]	Time 0.736 (0.752)	Data 0.001 (0.001)	Loss 3.1092 (2.8791)	Prec@1 32.812 (32.248)	Prec@5 57.812 (62.157)
Epoch: [4][8150/14090]	Time 0.773 (0.752)	Data 0.001 (0.001)	Loss 2.6862 (2.8791)	Prec@1 34.375 (32.249)	Prec@5 67.188 (62.158)
Epoch: [4][8160/14090]	Time 0.782 (0.752)	Data 0.001 (0.001)	Loss 2.6646 (2.8790)	Prec@1 36.719 (32.251)	Prec@5 61.719 (62.159)
Epoch: [4][8170/14090]	Time 0.742 (0.752)	Data 0.001 (0.001)	Loss 2.6497 (2.8789)	Prec@1 35.938 (32.253)	Prec@5 66.406 (62.162)
Epoch: [4][8180/14090]	Time 0.732 (0.752)	Data 0.001 (0.001)	Loss 2.6335 (2.8789)	Prec@1 33.594 (32.252)	Prec@5 69.531 (62.164)
Epoch: [4][8190/14090]	Time 0.742 (0.752)	Data 0.002 (0.001)	Loss 3.0532 (2.8790)	Prec@1 28.906 (32.251)	Prec@5 57.031 (62.162)
Epoch: [4][8200/14090]	Time 0.735 (0.752)	Data 0.001 (0.001)	Loss 3.0435 (2.8789)	Prec@1 24.219 (32.251)	Prec@5 60.156 (62.164)
Epoch: [4][8210/14090]	Time 0.783 (0.752)	Data 0.001 (0.001)	Loss 2.8760 (2.8789)	Prec@1 35.938 (32.253)	Prec@5 62.500 (62.166)
Epoch: [4][8220/14090]	Time 0.763 (0.752)	Data 0.001 (0.001)	Loss 2.8939 (2.8789)	Prec@1 31.250 (32.253)	Prec@5 62.500 (62.165)
Epoch: [4][8230/14090]	Time 0.736 (0.752)	Data 0.001 (0.001)	Loss 2.6845 (2.8790)	Prec@1 39.062 (32.253)	Prec@5 64.062 (62.164)
Epoch: [4][8240/14090]	Time 0.725 (0.752)	Data 0.001 (0.001)	Loss 3.0945 (2.8790)	Prec@1 30.469 (32.254)	Prec@5 52.344 (62.163)
Epoch: [4][8250/14090]	Time 0.765 (0.752)	Data 0.001 (0.001)	Loss 2.8776 (2.8790)	Prec@1 29.688 (32.252)	Prec@5 62.500 (62.163)
Epoch: [4][8260/14090]	Time 0.738 (0.752)	Data 0.002 (0.001)	Loss 2.8193 (2.8790)	Prec@1 32.031 (32.251)	Prec@5 60.938 (62.162)
Epoch: [4][8270/14090]	Time 0.725 (0.752)	Data 0.001 (0.001)	Loss 3.3031 (2.8790)	Prec@1 28.906 (32.252)	Prec@5 53.125 (62.162)
Epoch: [4][8280/14090]	Time 0.745 (0.752)	Data 0.001 (0.001)	Loss 3.2066 (2.8791)	Prec@1 25.000 (32.253)	Prec@5 51.562 (62.160)
Epoch: [4][8290/14090]	Time 0.771 (0.752)	Data 0.001 (0.001)	Loss 2.8735 (2.8792)	Prec@1 28.906 (32.252)	Prec@5 57.031 (62.157)
Epoch: [4][8300/14090]	Time 0.742 (0.752)	Data 0.001 (0.001)	Loss 2.5819 (2.8791)	Prec@1 32.031 (32.254)	Prec@5 67.188 (62.157)
Epoch: [4][8310/14090]	Time 0.762 (0.752)	Data 0.001 (0.001)	Loss 2.7645 (2.8791)	Prec@1 33.594 (32.253)	Prec@5 70.312 (62.159)
Epoch: [4][8320/14090]	Time 0.751 (0.752)	Data 0.001 (0.001)	Loss 2.9234 (2.8792)	Prec@1 28.906 (32.250)	Prec@5 61.719 (62.157)
Epoch: [4][8330/14090]	Time 0.767 (0.752)	Data 0.002 (0.001)	Loss 3.0187 (2.8793)	Prec@1 35.156 (32.247)	Prec@5 60.156 (62.156)
Epoch: [4][8340/14090]	Time 0.737 (0.752)	Data 0.001 (0.001)	Loss 2.7583 (2.8794)	Prec@1 35.156 (32.246)	Prec@5 60.938 (62.156)
Epoch: [4][8350/14090]	Time 0.740 (0.752)	Data 0.001 (0.001)	Loss 2.8493 (2.8793)	Prec@1 38.281 (32.248)	Prec@5 59.375 (62.158)
Epoch: [4][8360/14090]	Time 0.761 (0.752)	Data 0.001 (0.001)	Loss 2.8776 (2.8794)	Prec@1 32.812 (32.246)	Prec@5 61.719 (62.158)
Epoch: [4][8370/14090]	Time 0.750 (0.752)	Data 0.001 (0.001)	Loss 2.9001 (2.8794)	Prec@1 33.594 (32.245)	Prec@5 57.812 (62.158)
Epoch: [4][8380/14090]	Time 0.742 (0.752)	Data 0.001 (0.001)	Loss 2.7693 (2.8793)	Prec@1 34.375 (32.247)	Prec@5 63.281 (62.158)
Epoch: [4][8390/14090]	Time 0.746 (0.752)	Data 0.001 (0.001)	Loss 3.2937 (2.8793)	Prec@1 31.250 (32.247)	Prec@5 53.906 (62.158)
Epoch: [4][8400/14090]	Time 0.779 (0.752)	Data 0.001 (0.001)	Loss 3.1754 (2.8794)	Prec@1 31.250 (32.246)	Prec@5 57.031 (62.154)
Epoch: [4][8410/14090]	Time 0.771 (0.752)	Data 0.001 (0.001)	Loss 3.0385 (2.8793)	Prec@1 30.469 (32.246)	Prec@5 57.031 (62.156)
Epoch: [4][8420/14090]	Time 0.748 (0.752)	Data 0.001 (0.001)	Loss 2.7537 (2.8793)	Prec@1 36.719 (32.248)	Prec@5 64.062 (62.155)
Epoch: [4][8430/14090]	Time 0.755 (0.752)	Data 0.001 (0.001)	Loss 2.5701 (2.8794)	Prec@1 39.844 (32.248)	Prec@5 68.750 (62.153)
Epoch: [4][8440/14090]	Time 0.756 (0.752)	Data 0.001 (0.001)	Loss 2.9570 (2.8794)	Prec@1 31.250 (32.251)	Prec@5 64.062 (62.154)
Epoch: [4][8450/14090]	Time 0.774 (0.752)	Data 0.001 (0.001)	Loss 2.8064 (2.8792)	Prec@1 28.906 (32.253)	Prec@5 60.938 (62.159)
Epoch: [4][8460/14090]	Time 0.760 (0.752)	Data 0.001 (0.001)	Loss 3.0021 (2.8793)	Prec@1 33.594 (32.254)	Prec@5 60.156 (62.159)
Epoch: [4][8470/14090]	Time 0.752 (0.752)	Data 0.002 (0.001)	Loss 2.7547 (2.8793)	Prec@1 30.469 (32.253)	Prec@5 62.500 (62.156)
Epoch: [4][8480/14090]	Time 0.765 (0.752)	Data 0.001 (0.001)	Loss 2.8505 (2.8793)	Prec@1 31.250 (32.253)	Prec@5 57.812 (62.155)
Epoch: [4][8490/14090]	Time 0.764 (0.752)	Data 0.001 (0.001)	Loss 3.0435 (2.8793)	Prec@1 27.344 (32.255)	Prec@5 53.125 (62.155)
Epoch: [4][8500/14090]	Time 0.742 (0.752)	Data 0.001 (0.001)	Loss 3.0160 (2.8792)	Prec@1 30.469 (32.255)	Prec@5 58.594 (62.156)
Epoch: [4][8510/14090]	Time 0.740 (0.752)	Data 0.001 (0.001)	Loss 3.0216 (2.8792)	Prec@1 26.562 (32.254)	Prec@5 59.375 (62.154)
Epoch: [4][8520/14090]	Time 0.759 (0.752)	Data 0.001 (0.001)	Loss 2.7763 (2.8792)	Prec@1 39.844 (32.256)	Prec@5 66.406 (62.155)
Epoch: [4][8530/14090]	Time 0.738 (0.752)	Data 0.001 (0.001)	Loss 2.8677 (2.8792)	Prec@1 29.688 (32.254)	Prec@5 61.719 (62.155)
Epoch: [4][8540/14090]	Time 0.740 (0.752)	Data 0.002 (0.001)	Loss 3.0781 (2.8792)	Prec@1 31.250 (32.256)	Prec@5 55.469 (62.155)
Epoch: [4][8550/14090]	Time 0.745 (0.752)	Data 0.002 (0.001)	Loss 2.6602 (2.8791)	Prec@1 35.156 (32.254)	Prec@5 67.188 (62.157)
Epoch: [4][8560/14090]	Time 0.769 (0.752)	Data 0.001 (0.001)	Loss 2.4780 (2.8790)	Prec@1 38.281 (32.256)	Prec@5 65.625 (62.155)
Epoch: [4][8570/14090]	Time 0.782 (0.752)	Data 0.001 (0.001)	Loss 3.0718 (2.8791)	Prec@1 27.344 (32.256)	Prec@5 60.156 (62.155)
Epoch: [4][8580/14090]	Time 0.727 (0.752)	Data 0.001 (0.001)	Loss 2.9672 (2.8791)	Prec@1 27.344 (32.255)	Prec@5 56.250 (62.155)
Epoch: [4][8590/14090]	Time 0.784 (0.752)	Data 0.001 (0.001)	Loss 2.9220 (2.8791)	Prec@1 26.562 (32.255)	Prec@5 63.281 (62.155)
Epoch: [4][8600/14090]	Time 0.748 (0.752)	Data 0.001 (0.001)	Loss 2.6212 (2.8790)	Prec@1 35.156 (32.256)	Prec@5 70.312 (62.158)
Epoch: [4][8610/14090]	Time 0.738 (0.752)	Data 0.002 (0.001)	Loss 2.6234 (2.8789)	Prec@1 33.594 (32.257)	Prec@5 67.188 (62.160)
Epoch: [4][8620/14090]	Time 0.747 (0.752)	Data 0.001 (0.001)	Loss 2.9685 (2.8789)	Prec@1 31.250 (32.259)	Prec@5 58.594 (62.160)
Epoch: [4][8630/14090]	Time 0.775 (0.752)	Data 0.001 (0.001)	Loss 2.7954 (2.8789)	Prec@1 38.281 (32.259)	Prec@5 62.500 (62.160)
Epoch: [4][8640/14090]	Time 0.733 (0.752)	Data 0.001 (0.001)	Loss 2.9102 (2.8789)	Prec@1 35.156 (32.258)	Prec@5 57.812 (62.158)
Epoch: [4][8650/14090]	Time 0.794 (0.752)	Data 0.001 (0.001)	Loss 2.8368 (2.8789)	Prec@1 35.938 (32.258)	Prec@5 62.500 (62.157)
Epoch: [4][8660/14090]	Time 0.732 (0.752)	Data 0.001 (0.001)	Loss 2.6950 (2.8788)	Prec@1 39.844 (32.260)	Prec@5 62.500 (62.156)
Epoch: [4][8670/14090]	Time 0.746 (0.752)	Data 0.001 (0.001)	Loss 2.8396 (2.8787)	Prec@1 32.031 (32.260)	Prec@5 59.375 (62.158)
Epoch: [4][8680/14090]	Time 0.755 (0.752)	Data 0.002 (0.001)	Loss 2.9712 (2.8788)	Prec@1 29.688 (32.258)	Prec@5 60.938 (62.159)
Epoch: [4][8690/14090]	Time 0.761 (0.752)	Data 0.001 (0.001)	Loss 2.7418 (2.8788)	Prec@1 31.250 (32.259)	Prec@5 65.625 (62.159)
Epoch: [4][8700/14090]	Time 0.760 (0.752)	Data 0.001 (0.001)	Loss 3.1221 (2.8788)	Prec@1 24.219 (32.259)	Prec@5 57.031 (62.158)
Epoch: [4][8710/14090]	Time 0.760 (0.752)	Data 0.001 (0.001)	Loss 2.9936 (2.8788)	Prec@1 29.688 (32.259)	Prec@5 61.719 (62.158)
Epoch: [4][8720/14090]	Time 0.756 (0.752)	Data 0.001 (0.001)	Loss 2.8612 (2.8788)	Prec@1 35.938 (32.260)	Prec@5 63.281 (62.156)
Epoch: [4][8730/14090]	Time 0.733 (0.752)	Data 0.002 (0.001)	Loss 2.8287 (2.8788)	Prec@1 41.406 (32.262)	Prec@5 59.375 (62.156)
Epoch: [4][8740/14090]	Time 0.778 (0.752)	Data 0.001 (0.001)	Loss 2.8440 (2.8787)	Prec@1 30.469 (32.262)	Prec@5 60.938 (62.156)
Epoch: [4][8750/14090]	Time 0.772 (0.752)	Data 0.002 (0.001)	Loss 2.5478 (2.8787)	Prec@1 39.062 (32.262)	Prec@5 71.875 (62.157)
Epoch: [4][8760/14090]	Time 0.731 (0.752)	Data 0.001 (0.001)	Loss 2.8989 (2.8787)	Prec@1 32.812 (32.263)	Prec@5 58.594 (62.157)
Epoch: [4][8770/14090]	Time 0.772 (0.752)	Data 0.001 (0.001)	Loss 3.2095 (2.8787)	Prec@1 26.562 (32.263)	Prec@5 58.594 (62.156)
Epoch: [4][8780/14090]	Time 0.750 (0.752)	Data 0.001 (0.001)	Loss 2.8729 (2.8787)	Prec@1 34.375 (32.263)	Prec@5 60.938 (62.155)
Epoch: [4][8790/14090]	Time 0.731 (0.752)	Data 0.001 (0.001)	Loss 2.8496 (2.8787)	Prec@1 29.688 (32.264)	Prec@5 60.156 (62.153)
Epoch: [4][8800/14090]	Time 0.747 (0.752)	Data 0.001 (0.001)	Loss 2.6141 (2.8786)	Prec@1 34.375 (32.264)	Prec@5 65.625 (62.156)
Epoch: [4][8810/14090]	Time 0.785 (0.752)	Data 0.001 (0.001)	Loss 2.7701 (2.8786)	Prec@1 32.812 (32.266)	Prec@5 66.406 (62.157)
Epoch: [4][8820/14090]	Time 0.740 (0.752)	Data 0.002 (0.001)	Loss 2.7671 (2.8785)	Prec@1 31.250 (32.267)	Prec@5 67.188 (62.157)
Epoch: [4][8830/14090]	Time 0.732 (0.752)	Data 0.001 (0.001)	Loss 3.0838 (2.8784)	Prec@1 30.469 (32.269)	Prec@5 57.031 (62.159)
Epoch: [4][8840/14090]	Time 0.746 (0.752)	Data 0.001 (0.001)	Loss 2.8056 (2.8785)	Prec@1 32.812 (32.267)	Prec@5 64.062 (62.156)
Epoch: [4][8850/14090]	Time 0.748 (0.752)	Data 0.001 (0.001)	Loss 2.5802 (2.8784)	Prec@1 37.500 (32.270)	Prec@5 68.750 (62.157)
Epoch: [4][8860/14090]	Time 0.747 (0.752)	Data 0.001 (0.001)	Loss 3.1374 (2.8785)	Prec@1 25.000 (32.267)	Prec@5 53.125 (62.155)
Epoch: [4][8870/14090]	Time 0.739 (0.752)	Data 0.001 (0.001)	Loss 2.9021 (2.8786)	Prec@1 32.031 (32.265)	Prec@5 62.500 (62.153)
Epoch: [4][8880/14090]	Time 0.747 (0.752)	Data 0.001 (0.001)	Loss 2.7492 (2.8786)	Prec@1 35.156 (32.264)	Prec@5 61.719 (62.152)
Epoch: [4][8890/14090]	Time 0.761 (0.752)	Data 0.003 (0.001)	Loss 2.5943 (2.8786)	Prec@1 39.062 (32.264)	Prec@5 67.969 (62.153)
Epoch: [4][8900/14090]	Time 0.766 (0.752)	Data 0.001 (0.001)	Loss 2.7524 (2.8786)	Prec@1 35.938 (32.264)	Prec@5 64.844 (62.154)
Epoch: [4][8910/14090]	Time 0.741 (0.752)	Data 0.001 (0.001)	Loss 2.6640 (2.8786)	Prec@1 41.406 (32.265)	Prec@5 62.500 (62.154)
Epoch: [4][8920/14090]	Time 0.745 (0.752)	Data 0.001 (0.001)	Loss 2.8746 (2.8785)	Prec@1 32.031 (32.263)	Prec@5 62.500 (62.154)
Epoch: [4][8930/14090]	Time 0.783 (0.752)	Data 0.001 (0.001)	Loss 3.1773 (2.8786)	Prec@1 21.875 (32.259)	Prec@5 58.594 (62.152)
Epoch: [4][8940/14090]	Time 0.750 (0.752)	Data 0.001 (0.001)	Loss 3.0488 (2.8786)	Prec@1 32.031 (32.262)	Prec@5 59.375 (62.154)
Epoch: [4][8950/14090]	Time 0.749 (0.752)	Data 0.001 (0.001)	Loss 2.7804 (2.8785)	Prec@1 32.031 (32.262)	Prec@5 61.719 (62.154)
Epoch: [4][8960/14090]	Time 0.753 (0.752)	Data 0.001 (0.001)	Loss 2.7458 (2.8784)	Prec@1 32.812 (32.263)	Prec@5 64.844 (62.156)
Epoch: [4][8970/14090]	Time 0.753 (0.752)	Data 0.001 (0.001)	Loss 3.0075 (2.8784)	Prec@1 30.469 (32.261)	Prec@5 55.469 (62.159)
Epoch: [4][8980/14090]	Time 0.761 (0.752)	Data 0.001 (0.001)	Loss 2.7430 (2.8783)	Prec@1 31.250 (32.262)	Prec@5 64.844 (62.160)
Epoch: [4][8990/14090]	Time 0.734 (0.752)	Data 0.001 (0.001)	Loss 2.8603 (2.8783)	Prec@1 33.594 (32.261)	Prec@5 64.062 (62.161)
Epoch: [4][9000/14090]	Time 0.746 (0.752)	Data 0.001 (0.001)	Loss 2.9960 (2.8783)	Prec@1 32.812 (32.261)	Prec@5 60.156 (62.161)
Epoch: [4][9010/14090]	Time 0.759 (0.752)	Data 0.001 (0.001)	Loss 2.8249 (2.8783)	Prec@1 32.812 (32.262)	Prec@5 61.719 (62.160)
Epoch: [4][9020/14090]	Time 0.753 (0.752)	Data 0.001 (0.001)	Loss 3.0431 (2.8783)	Prec@1 32.812 (32.261)	Prec@5 59.375 (62.159)
Epoch: [4][9030/14090]	Time 0.733 (0.752)	Data 0.002 (0.001)	Loss 3.0316 (2.8784)	Prec@1 26.562 (32.259)	Prec@5 59.375 (62.158)
Epoch: [4][9040/14090]	Time 0.773 (0.752)	Data 0.001 (0.001)	Loss 2.7915 (2.8783)	Prec@1 28.906 (32.260)	Prec@5 56.250 (62.157)
Epoch: [4][9050/14090]	Time 0.734 (0.752)	Data 0.001 (0.001)	Loss 2.7020 (2.8783)	Prec@1 33.594 (32.261)	Prec@5 66.406 (62.159)
Epoch: [4][9060/14090]	Time 0.722 (0.752)	Data 0.001 (0.001)	Loss 2.7113 (2.8782)	Prec@1 35.938 (32.264)	Prec@5 62.500 (62.161)
Epoch: [4][9070/14090]	Time 0.747 (0.752)	Data 0.001 (0.001)	Loss 2.9001 (2.8781)	Prec@1 32.031 (32.262)	Prec@5 63.281 (62.163)
Epoch: [4][9080/14090]	Time 0.776 (0.752)	Data 0.001 (0.001)	Loss 2.9465 (2.8781)	Prec@1 33.594 (32.265)	Prec@5 60.938 (62.165)
Epoch: [4][9090/14090]	Time 0.736 (0.752)	Data 0.001 (0.001)	Loss 2.9442 (2.8782)	Prec@1 28.906 (32.264)	Prec@5 59.375 (62.162)
Epoch: [4][9100/14090]	Time 0.784 (0.752)	Data 0.002 (0.001)	Loss 2.8483 (2.8782)	Prec@1 31.250 (32.262)	Prec@5 60.156 (62.162)
Epoch: [4][9110/14090]	Time 0.748 (0.752)	Data 0.001 (0.001)	Loss 2.5233 (2.8782)	Prec@1 30.469 (32.261)	Prec@5 69.531 (62.162)
Epoch: [4][9120/14090]	Time 0.732 (0.752)	Data 0.001 (0.001)	Loss 3.0761 (2.8782)	Prec@1 32.031 (32.261)	Prec@5 57.031 (62.162)
Epoch: [4][9130/14090]	Time 0.752 (0.752)	Data 0.001 (0.001)	Loss 2.5593 (2.8781)	Prec@1 38.281 (32.261)	Prec@5 64.062 (62.165)
Epoch: [4][9140/14090]	Time 0.738 (0.752)	Data 0.001 (0.001)	Loss 2.8551 (2.8781)	Prec@1 28.125 (32.263)	Prec@5 58.594 (62.167)
Epoch: [4][9150/14090]	Time 0.731 (0.752)	Data 0.001 (0.001)	Loss 2.9302 (2.8780)	Prec@1 32.812 (32.264)	Prec@5 62.500 (62.171)
Epoch: [4][9160/14090]	Time 0.759 (0.752)	Data 0.001 (0.001)	Loss 2.9984 (2.8781)	Prec@1 27.344 (32.263)	Prec@5 61.719 (62.171)
Epoch: [4][9170/14090]	Time 0.776 (0.752)	Data 0.002 (0.001)	Loss 2.9894 (2.8781)	Prec@1 32.031 (32.262)	Prec@5 60.938 (62.171)
Epoch: [4][9180/14090]	Time 0.751 (0.752)	Data 0.001 (0.001)	Loss 2.9899 (2.8781)	Prec@1 32.812 (32.261)	Prec@5 58.594 (62.169)
Epoch: [4][9190/14090]	Time 0.745 (0.752)	Data 0.001 (0.001)	Loss 3.1679 (2.8781)	Prec@1 23.438 (32.260)	Prec@5 50.781 (62.169)
Epoch: [4][9200/14090]	Time 0.733 (0.752)	Data 0.001 (0.001)	Loss 2.8146 (2.8782)	Prec@1 28.125 (32.260)	Prec@5 71.094 (62.169)
Epoch: [4][9210/14090]	Time 0.778 (0.752)	Data 0.001 (0.001)	Loss 3.1086 (2.8783)	Prec@1 32.031 (32.259)	Prec@5 55.469 (62.165)
Epoch: [4][9220/14090]	Time 0.751 (0.752)	Data 0.001 (0.001)	Loss 2.7745 (2.8782)	Prec@1 34.375 (32.260)	Prec@5 65.625 (62.167)
Epoch: [4][9230/14090]	Time 0.741 (0.752)	Data 0.001 (0.001)	Loss 2.8418 (2.8782)	Prec@1 28.906 (32.261)	Prec@5 62.500 (62.166)
Epoch: [4][9240/14090]	Time 0.775 (0.752)	Data 0.002 (0.001)	Loss 2.7489 (2.8782)	Prec@1 35.938 (32.260)	Prec@5 64.844 (62.165)
Epoch: [4][9250/14090]	Time 0.741 (0.752)	Data 0.001 (0.001)	Loss 2.8657 (2.8783)	Prec@1 33.594 (32.259)	Prec@5 61.719 (62.164)
Epoch: [4][9260/14090]	Time 0.750 (0.752)	Data 0.001 (0.001)	Loss 2.6293 (2.8783)	Prec@1 35.156 (32.259)	Prec@5 67.188 (62.163)
Epoch: [4][9270/14090]	Time 0.807 (0.752)	Data 0.001 (0.001)	Loss 3.1915 (2.8783)	Prec@1 33.594 (32.260)	Prec@5 51.562 (62.163)
Epoch: [4][9280/14090]	Time 0.778 (0.752)	Data 0.001 (0.001)	Loss 2.5786 (2.8783)	Prec@1 35.156 (32.260)	Prec@5 66.406 (62.164)
Epoch: [4][9290/14090]	Time 0.760 (0.752)	Data 0.001 (0.001)	Loss 3.0107 (2.8782)	Prec@1 25.781 (32.260)	Prec@5 57.812 (62.163)
Epoch: [4][9300/14090]	Time 0.753 (0.752)	Data 0.001 (0.001)	Loss 2.6162 (2.8782)	Prec@1 41.406 (32.263)	Prec@5 66.406 (62.163)
Epoch: [4][9310/14090]	Time 0.733 (0.752)	Data 0.002 (0.001)	Loss 2.6676 (2.8781)	Prec@1 36.719 (32.265)	Prec@5 64.062 (62.163)
Epoch: [4][9320/14090]	Time 0.726 (0.752)	Data 0.001 (0.001)	Loss 3.0311 (2.8781)	Prec@1 32.812 (32.267)	Prec@5 57.031 (62.160)
Epoch: [4][9330/14090]	Time 0.753 (0.752)	Data 0.001 (0.001)	Loss 3.0126 (2.8781)	Prec@1 28.906 (32.267)	Prec@5 51.562 (62.161)
Epoch: [4][9340/14090]	Time 0.734 (0.752)	Data 0.001 (0.001)	Loss 2.9044 (2.8780)	Prec@1 33.594 (32.269)	Prec@5 58.594 (62.163)
Epoch: [4][9350/14090]	Time 0.736 (0.752)	Data 0.001 (0.001)	Loss 2.4283 (2.8779)	Prec@1 39.844 (32.272)	Prec@5 70.312 (62.166)
Epoch: [4][9360/14090]	Time 0.726 (0.752)	Data 0.001 (0.001)	Loss 2.9184 (2.8779)	Prec@1 29.688 (32.270)	Prec@5 60.156 (62.164)
Epoch: [4][9370/14090]	Time 0.738 (0.752)	Data 0.001 (0.001)	Loss 3.1025 (2.8778)	Prec@1 24.219 (32.271)	Prec@5 57.812 (62.166)
Epoch: [4][9380/14090]	Time 0.745 (0.752)	Data 0.002 (0.001)	Loss 2.7941 (2.8777)	Prec@1 29.688 (32.271)	Prec@5 66.406 (62.167)
Epoch: [4][9390/14090]	Time 0.764 (0.752)	Data 0.001 (0.001)	Loss 2.7657 (2.8778)	Prec@1 32.031 (32.269)	Prec@5 64.062 (62.166)
Epoch: [4][9400/14090]	Time 0.755 (0.752)	Data 0.001 (0.001)	Loss 2.8605 (2.8778)	Prec@1 30.469 (32.267)	Prec@5 61.719 (62.166)
Epoch: [4][9410/14090]	Time 0.774 (0.752)	Data 0.001 (0.001)	Loss 3.1020 (2.8778)	Prec@1 28.906 (32.267)	Prec@5 54.688 (62.166)
Epoch: [4][9420/14090]	Time 0.736 (0.752)	Data 0.001 (0.001)	Loss 2.9293 (2.8779)	Prec@1 34.375 (32.267)	Prec@5 58.594 (62.163)
Epoch: [4][9430/14090]	Time 0.741 (0.752)	Data 0.001 (0.001)	Loss 2.8968 (2.8778)	Prec@1 31.250 (32.268)	Prec@5 62.500 (62.166)
Epoch: [4][9440/14090]	Time 0.762 (0.752)	Data 0.001 (0.001)	Loss 3.2382 (2.8779)	Prec@1 28.906 (32.268)	Prec@5 55.469 (62.165)
Epoch: [4][9450/14090]	Time 0.776 (0.752)	Data 0.003 (0.001)	Loss 2.6772 (2.8777)	Prec@1 42.969 (32.271)	Prec@5 62.500 (62.166)
Epoch: [4][9460/14090]	Time 0.761 (0.752)	Data 0.001 (0.001)	Loss 2.8347 (2.8778)	Prec@1 29.688 (32.271)	Prec@5 61.719 (62.164)
Epoch: [4][9470/14090]	Time 0.751 (0.752)	Data 0.001 (0.001)	Loss 2.7343 (2.8778)	Prec@1 33.594 (32.270)	Prec@5 64.062 (62.167)
Epoch: [4][9480/14090]	Time 0.726 (0.752)	Data 0.001 (0.001)	Loss 2.9288 (2.8778)	Prec@1 24.219 (32.269)	Prec@5 59.375 (62.168)
Epoch: [4][9490/14090]	Time 0.745 (0.752)	Data 0.001 (0.001)	Loss 2.9069 (2.8778)	Prec@1 30.469 (32.268)	Prec@5 64.062 (62.168)
Epoch: [4][9500/14090]	Time 0.735 (0.752)	Data 0.001 (0.001)	Loss 2.9467 (2.8778)	Prec@1 27.344 (32.267)	Prec@5 64.062 (62.168)
Epoch: [4][9510/14090]	Time 0.781 (0.752)	Data 0.001 (0.001)	Loss 2.9878 (2.8779)	Prec@1 32.812 (32.266)	Prec@5 61.719 (62.166)
Epoch: [4][9520/14090]	Time 0.736 (0.752)	Data 0.002 (0.001)	Loss 2.8298 (2.8779)	Prec@1 29.688 (32.267)	Prec@5 58.594 (62.165)
Epoch: [4][9530/14090]	Time 0.761 (0.752)	Data 0.001 (0.001)	Loss 2.7541 (2.8779)	Prec@1 36.719 (32.268)	Prec@5 64.062 (62.165)
Epoch: [4][9540/14090]	Time 0.747 (0.752)	Data 0.001 (0.001)	Loss 2.7071 (2.8779)	Prec@1 27.344 (32.267)	Prec@5 67.188 (62.164)
Epoch: [4][9550/14090]	Time 0.760 (0.752)	Data 0.001 (0.001)	Loss 2.8492 (2.8778)	Prec@1 32.812 (32.270)	Prec@5 60.938 (62.169)
Epoch: [4][9560/14090]	Time 0.752 (0.752)	Data 0.001 (0.001)	Loss 3.1586 (2.8779)	Prec@1 28.906 (32.269)	Prec@5 55.469 (62.167)
Epoch: [4][9570/14090]	Time 0.777 (0.752)	Data 0.001 (0.001)	Loss 2.8083 (2.8777)	Prec@1 28.906 (32.272)	Prec@5 61.719 (62.171)
Epoch: [4][9580/14090]	Time 0.741 (0.752)	Data 0.001 (0.001)	Loss 2.9123 (2.8777)	Prec@1 34.375 (32.272)	Prec@5 64.062 (62.172)
Epoch: [4][9590/14090]	Time 0.727 (0.752)	Data 0.002 (0.001)	Loss 2.6538 (2.8777)	Prec@1 34.375 (32.272)	Prec@5 68.750 (62.172)
Epoch: [4][9600/14090]	Time 0.736 (0.752)	Data 0.001 (0.001)	Loss 3.1688 (2.8779)	Prec@1 28.906 (32.271)	Prec@5 59.375 (62.168)
Epoch: [4][9610/14090]	Time 0.752 (0.752)	Data 0.001 (0.001)	Loss 2.9612 (2.8778)	Prec@1 30.469 (32.272)	Prec@5 63.281 (62.172)
Epoch: [4][9620/14090]	Time 0.764 (0.752)	Data 0.001 (0.001)	Loss 2.8649 (2.8778)	Prec@1 33.594 (32.273)	Prec@5 64.062 (62.172)
Epoch: [4][9630/14090]	Time 0.780 (0.752)	Data 0.001 (0.001)	Loss 3.1679 (2.8778)	Prec@1 22.656 (32.272)	Prec@5 58.594 (62.172)
Epoch: [4][9640/14090]	Time 0.755 (0.752)	Data 0.001 (0.001)	Loss 2.5732 (2.8777)	Prec@1 38.281 (32.273)	Prec@5 70.312 (62.173)
Epoch: [4][9650/14090]	Time 0.761 (0.752)	Data 0.001 (0.001)	Loss 2.6246 (2.8777)	Prec@1 40.625 (32.274)	Prec@5 70.312 (62.172)
Epoch: [4][9660/14090]	Time 0.783 (0.752)	Data 0.002 (0.001)	Loss 2.8386 (2.8777)	Prec@1 32.812 (32.274)	Prec@5 58.594 (62.171)
Epoch: [4][9670/14090]	Time 0.748 (0.752)	Data 0.001 (0.001)	Loss 3.1052 (2.8777)	Prec@1 25.781 (32.274)	Prec@5 57.812 (62.170)
Epoch: [4][9680/14090]	Time 0.723 (0.752)	Data 0.001 (0.001)	Loss 2.8448 (2.8778)	Prec@1 38.281 (32.273)	Prec@5 60.156 (62.169)
Epoch: [4][9690/14090]	Time 0.745 (0.752)	Data 0.001 (0.001)	Loss 2.8627 (2.8777)	Prec@1 34.375 (32.276)	Prec@5 60.156 (62.170)
Epoch: [4][9700/14090]	Time 0.773 (0.752)	Data 0.001 (0.001)	Loss 2.7528 (2.8777)	Prec@1 33.594 (32.277)	Prec@5 64.062 (62.172)
Epoch: [4][9710/14090]	Time 0.784 (0.752)	Data 0.001 (0.001)	Loss 3.0839 (2.8776)	Prec@1 28.906 (32.279)	Prec@5 56.250 (62.172)
Epoch: [4][9720/14090]	Time 0.751 (0.752)	Data 0.001 (0.001)	Loss 2.9122 (2.8775)	Prec@1 32.031 (32.281)	Prec@5 60.938 (62.174)
Epoch: [4][9730/14090]	Time 0.745 (0.752)	Data 0.003 (0.001)	Loss 2.9356 (2.8775)	Prec@1 26.562 (32.278)	Prec@5 61.719 (62.175)
Epoch: [4][9740/14090]	Time 0.736 (0.752)	Data 0.001 (0.001)	Loss 2.8852 (2.8776)	Prec@1 28.125 (32.276)	Prec@5 64.844 (62.174)
Epoch: [4][9750/14090]	Time 0.784 (0.752)	Data 0.001 (0.001)	Loss 2.9594 (2.8777)	Prec@1 28.125 (32.274)	Prec@5 60.938 (62.172)
Epoch: [4][9760/14090]	Time 0.725 (0.752)	Data 0.001 (0.001)	Loss 3.2671 (2.8778)	Prec@1 25.781 (32.272)	Prec@5 51.562 (62.170)
Epoch: [4][9770/14090]	Time 0.768 (0.752)	Data 0.001 (0.001)	Loss 2.7239 (2.8778)	Prec@1 42.188 (32.271)	Prec@5 65.625 (62.168)
Epoch: [4][9780/14090]	Time 0.777 (0.752)	Data 0.001 (0.001)	Loss 2.7241 (2.8778)	Prec@1 32.812 (32.273)	Prec@5 61.719 (62.168)
Epoch: [4][9790/14090]	Time 0.751 (0.752)	Data 0.001 (0.001)	Loss 2.9243 (2.8778)	Prec@1 31.250 (32.273)	Prec@5 64.062 (62.168)
Epoch: [4][9800/14090]	Time 0.737 (0.752)	Data 0.002 (0.001)	Loss 3.0257 (2.8779)	Prec@1 32.812 (32.272)	Prec@5 57.031 (62.164)
Epoch: [4][9810/14090]	Time 0.757 (0.752)	Data 0.001 (0.001)	Loss 2.8528 (2.8779)	Prec@1 30.469 (32.269)	Prec@5 57.812 (62.164)
Epoch: [4][9820/14090]	Time 0.766 (0.752)	Data 0.001 (0.001)	Loss 2.7579 (2.8779)	Prec@1 28.906 (32.270)	Prec@5 62.500 (62.165)
Epoch: [4][9830/14090]	Time 0.735 (0.752)	Data 0.001 (0.001)	Loss 2.7897 (2.8779)	Prec@1 35.156 (32.269)	Prec@5 66.406 (62.165)
Epoch: [4][9840/14090]	Time 0.739 (0.752)	Data 0.001 (0.001)	Loss 2.6083 (2.8779)	Prec@1 38.281 (32.270)	Prec@5 69.531 (62.166)
Epoch: [4][9850/14090]	Time 0.741 (0.752)	Data 0.001 (0.001)	Loss 2.9760 (2.8779)	Prec@1 31.250 (32.271)	Prec@5 62.500 (62.167)
Epoch: [4][9860/14090]	Time 0.751 (0.752)	Data 0.001 (0.001)	Loss 2.8357 (2.8778)	Prec@1 32.812 (32.271)	Prec@5 66.406 (62.170)
Epoch: [4][9870/14090]	Time 0.736 (0.752)	Data 0.002 (0.001)	Loss 2.9620 (2.8778)	Prec@1 27.344 (32.271)	Prec@5 61.719 (62.169)
Epoch: [4][9880/14090]	Time 0.730 (0.752)	Data 0.001 (0.001)	Loss 2.8379 (2.8778)	Prec@1 30.469 (32.270)	Prec@5 75.000 (62.169)
Epoch: [4][9890/14090]	Time 0.732 (0.752)	Data 0.001 (0.001)	Loss 2.8076 (2.8778)	Prec@1 39.844 (32.270)	Prec@5 69.531 (62.170)
Epoch: [4][9900/14090]	Time 0.774 (0.752)	Data 0.001 (0.001)	Loss 2.5384 (2.8778)	Prec@1 39.062 (32.272)	Prec@5 67.188 (62.169)
Epoch: [4][9910/14090]	Time 0.767 (0.752)	Data 0.001 (0.001)	Loss 2.9601 (2.8777)	Prec@1 33.594 (32.273)	Prec@5 58.594 (62.170)
Epoch: [4][9920/14090]	Time 0.738 (0.752)	Data 0.002 (0.001)	Loss 2.9856 (2.8778)	Prec@1 27.344 (32.273)	Prec@5 55.469 (62.171)
Epoch: [4][9930/14090]	Time 0.735 (0.752)	Data 0.001 (0.001)	Loss 2.7478 (2.8777)	Prec@1 33.594 (32.275)	Prec@5 64.844 (62.171)
Epoch: [4][9940/14090]	Time 0.765 (0.752)	Data 0.002 (0.001)	Loss 2.7330 (2.8777)	Prec@1 30.469 (32.276)	Prec@5 65.625 (62.173)
Epoch: [4][9950/14090]	Time 0.776 (0.752)	Data 0.001 (0.001)	Loss 2.7169 (2.8777)	Prec@1 36.719 (32.276)	Prec@5 67.188 (62.172)
Epoch: [4][9960/14090]	Time 0.743 (0.752)	Data 0.001 (0.001)	Loss 2.9616 (2.8777)	Prec@1 30.469 (32.273)	Prec@5 53.906 (62.169)
Epoch: [4][9970/14090]	Time 0.755 (0.752)	Data 0.001 (0.001)	Loss 2.9846 (2.8777)	Prec@1 28.125 (32.273)	Prec@5 59.375 (62.167)
Epoch: [4][9980/14090]	Time 0.773 (0.752)	Data 0.001 (0.001)	Loss 2.8732 (2.8778)	Prec@1 34.375 (32.273)	Prec@5 64.062 (62.166)
Epoch: [4][9990/14090]	Time 0.734 (0.752)	Data 0.001 (0.001)	Loss 2.9520 (2.8777)	Prec@1 33.594 (32.274)	Prec@5 59.375 (62.165)
Epoch: [4][10000/14090]	Time 0.777 (0.752)	Data 0.001 (0.001)	Loss 2.9938 (2.8778)	Prec@1 31.250 (32.272)	Prec@5 66.406 (62.166)
Epoch: [4][10010/14090]	Time 0.771 (0.752)	Data 0.002 (0.001)	Loss 2.7492 (2.8779)	Prec@1 35.938 (32.269)	Prec@5 67.188 (62.164)
Epoch: [4][10020/14090]	Time 0.728 (0.752)	Data 0.001 (0.001)	Loss 2.8091 (2.8778)	Prec@1 34.375 (32.270)	Prec@5 63.281 (62.167)
Epoch: [4][10030/14090]	Time 0.746 (0.752)	Data 0.001 (0.001)	Loss 2.9310 (2.8778)	Prec@1 28.125 (32.269)	Prec@5 61.719 (62.168)
Epoch: [4][10040/14090]	Time 0.737 (0.752)	Data 0.001 (0.001)	Loss 2.7184 (2.8777)	Prec@1 37.500 (32.270)	Prec@5 64.062 (62.170)
Epoch: [4][10050/14090]	Time 0.785 (0.752)	Data 0.001 (0.001)	Loss 3.3483 (2.8778)	Prec@1 23.438 (32.269)	Prec@5 51.562 (62.169)
Epoch: [4][10060/14090]	Time 0.744 (0.752)	Data 0.001 (0.001)	Loss 2.6971 (2.8777)	Prec@1 28.906 (32.270)	Prec@5 68.750 (62.171)
Epoch: [4][10070/14090]	Time 0.744 (0.752)	Data 0.001 (0.001)	Loss 2.6943 (2.8776)	Prec@1 39.062 (32.271)	Prec@5 64.844 (62.172)
Epoch: [4][10080/14090]	Time 0.743 (0.752)	Data 0.004 (0.001)	Loss 2.8210 (2.8775)	Prec@1 29.688 (32.272)	Prec@5 64.844 (62.174)
Epoch: [4][10090/14090]	Time 0.739 (0.752)	Data 0.001 (0.001)	Loss 3.0032 (2.8776)	Prec@1 33.594 (32.270)	Prec@5 64.062 (62.174)
Epoch: [4][10100/14090]	Time 0.782 (0.752)	Data 0.001 (0.001)	Loss 2.8177 (2.8775)	Prec@1 28.906 (32.269)	Prec@5 65.625 (62.175)
Epoch: [4][10110/14090]	Time 0.781 (0.752)	Data 0.001 (0.001)	Loss 2.7201 (2.8775)	Prec@1 39.062 (32.269)	Prec@5 62.500 (62.174)
Epoch: [4][10120/14090]	Time 0.747 (0.752)	Data 0.001 (0.001)	Loss 2.9371 (2.8776)	Prec@1 25.000 (32.268)	Prec@5 64.062 (62.174)
Epoch: [4][10130/14090]	Time 0.730 (0.752)	Data 0.001 (0.001)	Loss 3.2079 (2.8776)	Prec@1 26.562 (32.267)	Prec@5 54.688 (62.175)
Epoch: [4][10140/14090]	Time 0.780 (0.752)	Data 0.001 (0.001)	Loss 3.1849 (2.8776)	Prec@1 29.688 (32.268)	Prec@5 59.375 (62.177)
Epoch: [4][10150/14090]	Time 0.733 (0.752)	Data 0.002 (0.001)	Loss 2.8046 (2.8776)	Prec@1 33.594 (32.268)	Prec@5 61.719 (62.177)
Epoch: [4][10160/14090]	Time 0.752 (0.752)	Data 0.001 (0.001)	Loss 2.8825 (2.8776)	Prec@1 37.500 (32.268)	Prec@5 58.594 (62.176)
Epoch: [4][10170/14090]	Time 0.754 (0.752)	Data 0.001 (0.001)	Loss 2.9333 (2.8777)	Prec@1 29.688 (32.267)	Prec@5 61.719 (62.174)
Epoch: [4][10180/14090]	Time 0.723 (0.752)	Data 0.001 (0.001)	Loss 2.8932 (2.8777)	Prec@1 28.125 (32.267)	Prec@5 63.281 (62.173)
Epoch: [4][10190/14090]	Time 0.756 (0.752)	Data 0.001 (0.001)	Loss 2.8592 (2.8777)	Prec@1 35.938 (32.268)	Prec@5 65.625 (62.174)
Epoch: [4][10200/14090]	Time 0.777 (0.752)	Data 0.001 (0.001)	Loss 2.7263 (2.8776)	Prec@1 32.031 (32.268)	Prec@5 62.500 (62.175)
Epoch: [4][10210/14090]	Time 0.732 (0.752)	Data 0.001 (0.001)	Loss 2.6357 (2.8775)	Prec@1 38.281 (32.270)	Prec@5 67.969 (62.176)
Epoch: [4][10220/14090]	Time 0.763 (0.752)	Data 0.002 (0.001)	Loss 2.9646 (2.8775)	Prec@1 32.812 (32.270)	Prec@5 56.250 (62.175)
Epoch: [4][10230/14090]	Time 0.780 (0.752)	Data 0.001 (0.001)	Loss 3.0068 (2.8775)	Prec@1 28.125 (32.269)	Prec@5 58.594 (62.173)
Epoch: [4][10240/14090]	Time 0.773 (0.752)	Data 0.001 (0.001)	Loss 3.1916 (2.8775)	Prec@1 24.219 (32.268)	Prec@5 56.250 (62.172)
Epoch: [4][10250/14090]	Time 0.729 (0.752)	Data 0.001 (0.001)	Loss 2.8374 (2.8775)	Prec@1 33.594 (32.270)	Prec@5 62.500 (62.172)
Epoch: [4][10260/14090]	Time 0.754 (0.752)	Data 0.001 (0.001)	Loss 2.8188 (2.8775)	Prec@1 35.156 (32.271)	Prec@5 61.719 (62.173)
Epoch: [4][10270/14090]	Time 0.754 (0.752)	Data 0.001 (0.001)	Loss 3.0821 (2.8776)	Prec@1 30.469 (32.269)	Prec@5 60.156 (62.172)
Epoch: [4][10280/14090]	Time 0.755 (0.752)	Data 0.001 (0.001)	Loss 2.7281 (2.8776)	Prec@1 31.250 (32.268)	Prec@5 64.062 (62.170)
Epoch: [4][10290/14090]	Time 0.748 (0.752)	Data 0.002 (0.001)	Loss 3.0854 (2.8776)	Prec@1 28.906 (32.267)	Prec@5 58.594 (62.170)
Epoch: [4][10300/14090]	Time 0.778 (0.752)	Data 0.001 (0.001)	Loss 3.0633 (2.8777)	Prec@1 27.344 (32.264)	Prec@5 59.375 (62.168)
Epoch: [4][10310/14090]	Time 0.780 (0.752)	Data 0.001 (0.001)	Loss 3.1324 (2.8778)	Prec@1 29.688 (32.263)	Prec@5 54.688 (62.167)
Epoch: [4][10320/14090]	Time 0.750 (0.752)	Data 0.001 (0.001)	Loss 2.8767 (2.8778)	Prec@1 32.031 (32.264)	Prec@5 64.844 (62.167)
Epoch: [4][10330/14090]	Time 0.728 (0.752)	Data 0.001 (0.001)	Loss 2.6737 (2.8778)	Prec@1 32.031 (32.263)	Prec@5 64.062 (62.167)
Epoch: [4][10340/14090]	Time 0.761 (0.752)	Data 0.001 (0.001)	Loss 2.9384 (2.8778)	Prec@1 33.594 (32.263)	Prec@5 59.375 (62.168)
Epoch: [4][10350/14090]	Time 0.775 (0.752)	Data 0.001 (0.001)	Loss 2.5667 (2.8778)	Prec@1 35.938 (32.261)	Prec@5 69.531 (62.168)
Epoch: [4][10360/14090]	Time 0.751 (0.752)	Data 0.002 (0.001)	Loss 3.0454 (2.8779)	Prec@1 29.688 (32.261)	Prec@5 56.250 (62.166)
Epoch: [4][10370/14090]	Time 0.760 (0.752)	Data 0.001 (0.001)	Loss 2.8719 (2.8779)	Prec@1 28.906 (32.260)	Prec@5 67.188 (62.167)
Epoch: [4][10380/14090]	Time 0.755 (0.752)	Data 0.001 (0.001)	Loss 2.9414 (2.8779)	Prec@1 30.469 (32.261)	Prec@5 60.938 (62.168)
Epoch: [4][10390/14090]	Time 0.733 (0.752)	Data 0.001 (0.001)	Loss 2.7690 (2.8779)	Prec@1 35.156 (32.261)	Prec@5 71.094 (62.168)
Epoch: [4][10400/14090]	Time 0.763 (0.752)	Data 0.001 (0.001)	Loss 2.8533 (2.8778)	Prec@1 33.594 (32.263)	Prec@5 65.625 (62.169)
Epoch: [4][10410/14090]	Time 0.758 (0.752)	Data 0.001 (0.001)	Loss 2.8793 (2.8778)	Prec@1 32.031 (32.263)	Prec@5 61.719 (62.168)
Epoch: [4][10420/14090]	Time 0.762 (0.752)	Data 0.001 (0.001)	Loss 2.9859 (2.8778)	Prec@1 29.688 (32.265)	Prec@5 59.375 (62.168)
Epoch: [4][10430/14090]	Time 0.742 (0.752)	Data 0.002 (0.001)	Loss 2.7502 (2.8778)	Prec@1 39.062 (32.266)	Prec@5 69.531 (62.168)
Epoch: [4][10440/14090]	Time 0.762 (0.752)	Data 0.001 (0.001)	Loss 2.7212 (2.8777)	Prec@1 35.938 (32.267)	Prec@5 67.188 (62.170)
Epoch: [4][10450/14090]	Time 0.756 (0.752)	Data 0.001 (0.001)	Loss 2.8712 (2.8777)	Prec@1 32.812 (32.269)	Prec@5 63.281 (62.171)
Epoch: [4][10460/14090]	Time 0.757 (0.752)	Data 0.001 (0.001)	Loss 3.0417 (2.8778)	Prec@1 26.562 (32.267)	Prec@5 57.031 (62.169)
Epoch: [4][10470/14090]	Time 0.753 (0.752)	Data 0.001 (0.001)	Loss 2.9589 (2.8778)	Prec@1 33.594 (32.268)	Prec@5 62.500 (62.171)
Epoch: [4][10480/14090]	Time 0.775 (0.752)	Data 0.001 (0.001)	Loss 2.7731 (2.8778)	Prec@1 35.938 (32.266)	Prec@5 63.281 (62.170)
Epoch: [4][10490/14090]	Time 0.764 (0.752)	Data 0.001 (0.001)	Loss 2.7539 (2.8778)	Prec@1 32.031 (32.265)	Prec@5 68.750 (62.169)
Epoch: [4][10500/14090]	Time 0.724 (0.752)	Data 0.002 (0.001)	Loss 2.8535 (2.8778)	Prec@1 36.719 (32.267)	Prec@5 61.719 (62.170)
Epoch: [4][10510/14090]	Time 0.730 (0.752)	Data 0.001 (0.001)	Loss 2.9084 (2.8778)	Prec@1 33.594 (32.266)	Prec@5 63.281 (62.170)
Epoch: [4][10520/14090]	Time 0.777 (0.752)	Data 0.001 (0.001)	Loss 2.7055 (2.8777)	Prec@1 32.031 (32.266)	Prec@5 65.625 (62.173)
Epoch: [4][10530/14090]	Time 0.741 (0.752)	Data 0.001 (0.001)	Loss 2.9820 (2.8778)	Prec@1 34.375 (32.264)	Prec@5 60.938 (62.171)
Epoch: [4][10540/14090]	Time 0.753 (0.752)	Data 0.001 (0.001)	Loss 2.8393 (2.8777)	Prec@1 33.594 (32.264)	Prec@5 60.156 (62.171)
Epoch: [4][10550/14090]	Time 0.759 (0.752)	Data 0.001 (0.001)	Loss 2.5857 (2.8777)	Prec@1 35.938 (32.267)	Prec@5 74.219 (62.173)
Epoch: [4][10560/14090]	Time 0.775 (0.752)	Data 0.001 (0.001)	Loss 3.0215 (2.8777)	Prec@1 27.344 (32.266)	Prec@5 59.375 (62.174)
Epoch: [4][10570/14090]	Time 0.759 (0.752)	Data 0.002 (0.001)	Loss 2.5746 (2.8776)	Prec@1 38.281 (32.267)	Prec@5 67.969 (62.175)
Epoch: [4][10580/14090]	Time 0.773 (0.752)	Data 0.001 (0.001)	Loss 2.7242 (2.8775)	Prec@1 35.156 (32.268)	Prec@5 67.188 (62.177)
Epoch: [4][10590/14090]	Time 0.735 (0.752)	Data 0.001 (0.001)	Loss 2.9001 (2.8775)	Prec@1 31.250 (32.268)	Prec@5 57.812 (62.178)
Epoch: [4][10600/14090]	Time 0.779 (0.752)	Data 0.003 (0.001)	Loss 3.0353 (2.8776)	Prec@1 31.250 (32.268)	Prec@5 60.156 (62.177)
Epoch: [4][10610/14090]	Time 0.775 (0.752)	Data 0.001 (0.001)	Loss 3.0791 (2.8775)	Prec@1 30.469 (32.269)	Prec@5 60.156 (62.176)
Epoch: [4][10620/14090]	Time 0.724 (0.752)	Data 0.001 (0.001)	Loss 2.5716 (2.8775)	Prec@1 38.281 (32.270)	Prec@5 71.094 (62.179)
Epoch: [4][10630/14090]	Time 0.752 (0.752)	Data 0.001 (0.001)	Loss 2.8574 (2.8775)	Prec@1 32.812 (32.268)	Prec@5 63.281 (62.178)
Epoch: [4][10640/14090]	Time 0.744 (0.752)	Data 0.002 (0.001)	Loss 2.9235 (2.8775)	Prec@1 30.469 (32.270)	Prec@5 64.062 (62.177)
Epoch: [4][10650/14090]	Time 0.753 (0.752)	Data 0.001 (0.001)	Loss 2.8599 (2.8775)	Prec@1 28.906 (32.271)	Prec@5 57.812 (62.177)
Epoch: [4][10660/14090]	Time 0.745 (0.752)	Data 0.001 (0.001)	Loss 2.8205 (2.8774)	Prec@1 31.250 (32.272)	Prec@5 59.375 (62.177)
Epoch: [4][10670/14090]	Time 0.762 (0.752)	Data 0.001 (0.001)	Loss 3.0046 (2.8774)	Prec@1 32.812 (32.273)	Prec@5 58.594 (62.177)
Epoch: [4][10680/14090]	Time 0.742 (0.752)	Data 0.001 (0.001)	Loss 2.6963 (2.8773)	Prec@1 28.906 (32.273)	Prec@5 67.188 (62.179)
Epoch: [4][10690/14090]	Time 0.722 (0.752)	Data 0.001 (0.001)	Loss 2.9832 (2.8774)	Prec@1 27.344 (32.271)	Prec@5 60.156 (62.178)
Epoch: [4][10700/14090]	Time 0.736 (0.752)	Data 0.001 (0.001)	Loss 3.0411 (2.8774)	Prec@1 29.688 (32.272)	Prec@5 56.250 (62.179)
Epoch: [4][10710/14090]	Time 0.754 (0.752)	Data 0.002 (0.001)	Loss 2.7780 (2.8773)	Prec@1 33.594 (32.272)	Prec@5 67.188 (62.178)
Epoch: [4][10720/14090]	Time 0.759 (0.752)	Data 0.001 (0.001)	Loss 2.6713 (2.8774)	Prec@1 32.031 (32.270)	Prec@5 66.406 (62.179)
Epoch: [4][10730/14090]	Time 0.765 (0.752)	Data 0.001 (0.001)	Loss 3.1022 (2.8774)	Prec@1 31.250 (32.268)	Prec@5 60.156 (62.176)
Epoch: [4][10740/14090]	Time 0.755 (0.752)	Data 0.001 (0.001)	Loss 2.9654 (2.8774)	Prec@1 29.688 (32.269)	Prec@5 63.281 (62.177)
Epoch: [4][10750/14090]	Time 0.764 (0.752)	Data 0.001 (0.001)	Loss 2.9326 (2.8774)	Prec@1 30.469 (32.268)	Prec@5 63.281 (62.176)
Epoch: [4][10760/14090]	Time 0.779 (0.752)	Data 0.001 (0.001)	Loss 3.0276 (2.8775)	Prec@1 35.938 (32.266)	Prec@5 60.156 (62.175)
Epoch: [4][10770/14090]	Time 0.773 (0.752)	Data 0.001 (0.001)	Loss 2.7440 (2.8774)	Prec@1 33.594 (32.266)	Prec@5 66.406 (62.176)
Epoch: [4][10780/14090]	Time 0.739 (0.752)	Data 0.002 (0.001)	Loss 2.5234 (2.8774)	Prec@1 43.750 (32.266)	Prec@5 71.875 (62.177)
Epoch: [4][10790/14090]	Time 0.775 (0.752)	Data 0.001 (0.001)	Loss 2.9914 (2.8773)	Prec@1 25.781 (32.266)	Prec@5 60.156 (62.179)
Epoch: [4][10800/14090]	Time 0.738 (0.752)	Data 0.001 (0.001)	Loss 3.0055 (2.8773)	Prec@1 25.000 (32.266)	Prec@5 60.156 (62.179)
Epoch: [4][10810/14090]	Time 0.735 (0.752)	Data 0.001 (0.001)	Loss 2.9818 (2.8773)	Prec@1 32.031 (32.265)	Prec@5 63.281 (62.179)
Epoch: [4][10820/14090]	Time 0.769 (0.752)	Data 0.001 (0.001)	Loss 2.6698 (2.8774)	Prec@1 38.281 (32.264)	Prec@5 71.875 (62.179)
Epoch: [4][10830/14090]	Time 0.742 (0.752)	Data 0.001 (0.001)	Loss 2.7923 (2.8774)	Prec@1 35.156 (32.264)	Prec@5 64.844 (62.180)
Epoch: [4][10840/14090]	Time 0.730 (0.752)	Data 0.001 (0.001)	Loss 2.8740 (2.8773)	Prec@1 34.375 (32.265)	Prec@5 63.281 (62.180)
Epoch: [4][10850/14090]	Time 0.746 (0.752)	Data 0.002 (0.001)	Loss 2.8094 (2.8773)	Prec@1 34.375 (32.265)	Prec@5 64.062 (62.181)
Epoch: [4][10860/14090]	Time 0.751 (0.752)	Data 0.001 (0.001)	Loss 2.9260 (2.8773)	Prec@1 30.469 (32.264)	Prec@5 59.375 (62.180)
Epoch: [4][10870/14090]	Time 0.749 (0.752)	Data 0.001 (0.001)	Loss 2.8784 (2.8774)	Prec@1 36.719 (32.263)	Prec@5 60.938 (62.179)
Epoch: [4][10880/14090]	Time 0.782 (0.752)	Data 0.001 (0.001)	Loss 2.9267 (2.8775)	Prec@1 24.219 (32.261)	Prec@5 62.500 (62.176)
Epoch: [4][10890/14090]	Time 0.739 (0.752)	Data 0.001 (0.001)	Loss 2.9763 (2.8774)	Prec@1 21.875 (32.262)	Prec@5 64.062 (62.178)
Epoch: [4][10900/14090]	Time 0.747 (0.752)	Data 0.001 (0.001)	Loss 2.7746 (2.8773)	Prec@1 35.938 (32.263)	Prec@5 64.844 (62.180)
Epoch: [4][10910/14090]	Time 0.774 (0.752)	Data 0.001 (0.001)	Loss 2.6672 (2.8773)	Prec@1 35.156 (32.262)	Prec@5 67.188 (62.181)
Epoch: [4][10920/14090]	Time 0.727 (0.752)	Data 0.002 (0.001)	Loss 3.0231 (2.8774)	Prec@1 28.906 (32.260)	Prec@5 62.500 (62.180)
Epoch: [4][10930/14090]	Time 0.795 (0.752)	Data 0.001 (0.001)	Loss 2.8977 (2.8774)	Prec@1 28.125 (32.260)	Prec@5 60.938 (62.180)
Epoch: [4][10940/14090]	Time 0.759 (0.752)	Data 0.001 (0.001)	Loss 2.6182 (2.8774)	Prec@1 38.281 (32.259)	Prec@5 67.188 (62.181)
Epoch: [4][10950/14090]	Time 0.759 (0.752)	Data 0.001 (0.001)	Loss 3.0120 (2.8773)	Prec@1 28.125 (32.259)	Prec@5 55.469 (62.182)
Epoch: [4][10960/14090]	Time 0.749 (0.752)	Data 0.001 (0.001)	Loss 2.9840 (2.8773)	Prec@1 29.688 (32.259)	Prec@5 58.594 (62.181)
Epoch: [4][10970/14090]	Time 0.770 (0.752)	Data 0.001 (0.001)	Loss 2.9842 (2.8773)	Prec@1 30.469 (32.259)	Prec@5 63.281 (62.180)
Epoch: [4][10980/14090]	Time 0.725 (0.752)	Data 0.001 (0.001)	Loss 2.7367 (2.8773)	Prec@1 38.281 (32.259)	Prec@5 66.406 (62.180)
Epoch: [4][10990/14090]	Time 0.773 (0.752)	Data 0.002 (0.001)	Loss 2.6084 (2.8772)	Prec@1 35.156 (32.258)	Prec@5 67.188 (62.181)
Epoch: [4][11000/14090]	Time 0.779 (0.752)	Data 0.001 (0.001)	Loss 2.4747 (2.8773)	Prec@1 38.281 (32.257)	Prec@5 72.656 (62.182)
Epoch: [4][11010/14090]	Time 0.752 (0.752)	Data 0.001 (0.001)	Loss 3.0808 (2.8773)	Prec@1 29.688 (32.257)	Prec@5 57.812 (62.182)
Epoch: [4][11020/14090]	Time 0.737 (0.752)	Data 0.001 (0.001)	Loss 3.0394 (2.8773)	Prec@1 26.562 (32.256)	Prec@5 57.812 (62.181)
Epoch: [4][11030/14090]	Time 0.733 (0.752)	Data 0.001 (0.001)	Loss 2.7203 (2.8773)	Prec@1 37.500 (32.256)	Prec@5 63.281 (62.181)
Epoch: [4][11040/14090]	Time 0.750 (0.752)	Data 0.001 (0.001)	Loss 2.6418 (2.8773)	Prec@1 38.281 (32.257)	Prec@5 67.969 (62.182)
Epoch: [4][11050/14090]	Time 0.779 (0.752)	Data 0.001 (0.001)	Loss 3.0559 (2.8773)	Prec@1 33.594 (32.258)	Prec@5 62.500 (62.183)
Epoch: [4][11060/14090]	Time 0.735 (0.752)	Data 0.002 (0.001)	Loss 3.1370 (2.8774)	Prec@1 25.781 (32.256)	Prec@5 58.594 (62.181)
Epoch: [4][11070/14090]	Time 0.737 (0.752)	Data 0.001 (0.001)	Loss 3.2376 (2.8774)	Prec@1 28.125 (32.256)	Prec@5 58.594 (62.180)
Epoch: [4][11080/14090]	Time 0.749 (0.752)	Data 0.001 (0.001)	Loss 2.7063 (2.8774)	Prec@1 39.062 (32.258)	Prec@5 64.844 (62.181)
Epoch: [4][11090/14090]	Time 0.740 (0.752)	Data 0.001 (0.001)	Loss 2.8532 (2.8774)	Prec@1 35.156 (32.257)	Prec@5 61.719 (62.182)
Epoch: [4][11100/14090]	Time 0.742 (0.752)	Data 0.001 (0.001)	Loss 2.6832 (2.8773)	Prec@1 34.375 (32.258)	Prec@5 71.094 (62.185)
Epoch: [4][11110/14090]	Time 0.785 (0.752)	Data 0.001 (0.001)	Loss 3.0956 (2.8773)	Prec@1 30.469 (32.260)	Prec@5 54.688 (62.185)
Epoch: [4][11120/14090]	Time 0.763 (0.752)	Data 0.001 (0.001)	Loss 2.6749 (2.8773)	Prec@1 33.594 (32.259)	Prec@5 69.531 (62.184)
Epoch: [4][11130/14090]	Time 0.734 (0.752)	Data 0.002 (0.001)	Loss 2.7418 (2.8774)	Prec@1 40.625 (32.257)	Prec@5 65.625 (62.183)
Epoch: [4][11140/14090]	Time 0.738 (0.752)	Data 0.001 (0.001)	Loss 2.7650 (2.8774)	Prec@1 36.719 (32.257)	Prec@5 67.188 (62.183)
Epoch: [4][11150/14090]	Time 0.778 (0.752)	Data 0.001 (0.001)	Loss 3.1412 (2.8775)	Prec@1 28.906 (32.255)	Prec@5 60.156 (62.181)
Epoch: [4][11160/14090]	Time 0.732 (0.752)	Data 0.001 (0.001)	Loss 2.7037 (2.8775)	Prec@1 42.188 (32.257)	Prec@5 65.625 (62.182)
Epoch: [4][11170/14090]	Time 0.770 (0.752)	Data 0.001 (0.001)	Loss 3.0697 (2.8775)	Prec@1 28.125 (32.255)	Prec@5 56.250 (62.180)
Epoch: [4][11180/14090]	Time 0.777 (0.752)	Data 0.002 (0.001)	Loss 3.0222 (2.8775)	Prec@1 32.812 (32.258)	Prec@5 61.719 (62.182)
Epoch: [4][11190/14090]	Time 0.755 (0.752)	Data 0.001 (0.001)	Loss 2.7886 (2.8775)	Prec@1 32.812 (32.258)	Prec@5 60.156 (62.182)
Epoch: [4][11200/14090]	Time 0.755 (0.752)	Data 0.002 (0.001)	Loss 2.9560 (2.8775)	Prec@1 30.469 (32.259)	Prec@5 60.938 (62.183)
Epoch: [4][11210/14090]	Time 0.757 (0.752)	Data 0.001 (0.001)	Loss 3.1664 (2.8775)	Prec@1 32.031 (32.260)	Prec@5 57.031 (62.182)
Epoch: [4][11220/14090]	Time 0.735 (0.752)	Data 0.001 (0.001)	Loss 2.9275 (2.8774)	Prec@1 28.125 (32.261)	Prec@5 61.719 (62.184)
Epoch: [4][11230/14090]	Time 0.743 (0.752)	Data 0.001 (0.001)	Loss 2.7562 (2.8774)	Prec@1 32.812 (32.261)	Prec@5 58.594 (62.184)
Epoch: [4][11240/14090]	Time 0.741 (0.752)	Data 0.001 (0.001)	Loss 2.9607 (2.8774)	Prec@1 28.906 (32.260)	Prec@5 64.062 (62.183)
Epoch: [4][11250/14090]	Time 0.780 (0.752)	Data 0.001 (0.001)	Loss 2.8564 (2.8774)	Prec@1 28.906 (32.260)	Prec@5 60.156 (62.185)
Epoch: [4][11260/14090]	Time 0.778 (0.752)	Data 0.001 (0.001)	Loss 2.6557 (2.8773)	Prec@1 34.375 (32.261)	Prec@5 63.281 (62.184)
Epoch: [4][11270/14090]	Time 0.740 (0.752)	Data 0.002 (0.001)	Loss 2.9653 (2.8773)	Prec@1 28.125 (32.262)	Prec@5 57.812 (62.185)
Epoch: [4][11280/14090]	Time 0.757 (0.752)	Data 0.001 (0.001)	Loss 2.7011 (2.8773)	Prec@1 32.031 (32.260)	Prec@5 67.188 (62.186)
Epoch: [4][11290/14090]	Time 0.751 (0.752)	Data 0.001 (0.001)	Loss 2.9435 (2.8772)	Prec@1 31.250 (32.261)	Prec@5 60.156 (62.188)
Epoch: [4][11300/14090]	Time 0.765 (0.752)	Data 0.001 (0.001)	Loss 2.7720 (2.8772)	Prec@1 33.594 (32.261)	Prec@5 64.844 (62.188)
Epoch: [4][11310/14090]	Time 0.766 (0.752)	Data 0.001 (0.001)	Loss 2.9866 (2.8772)	Prec@1 31.250 (32.262)	Prec@5 57.812 (62.189)
Epoch: [4][11320/14090]	Time 0.733 (0.752)	Data 0.001 (0.001)	Loss 2.8631 (2.8772)	Prec@1 35.156 (32.263)	Prec@5 63.281 (62.189)
Epoch: [4][11330/14090]	Time 0.742 (0.752)	Data 0.001 (0.001)	Loss 2.9778 (2.8773)	Prec@1 33.594 (32.261)	Prec@5 63.281 (62.186)
Epoch: [4][11340/14090]	Time 0.768 (0.752)	Data 0.002 (0.001)	Loss 2.8597 (2.8773)	Prec@1 32.031 (32.260)	Prec@5 66.406 (62.186)
Epoch: [4][11350/14090]	Time 0.757 (0.752)	Data 0.001 (0.001)	Loss 2.8535 (2.8773)	Prec@1 32.812 (32.259)	Prec@5 64.844 (62.187)
Epoch: [4][11360/14090]	Time 0.758 (0.752)	Data 0.001 (0.001)	Loss 3.0568 (2.8774)	Prec@1 28.906 (32.259)	Prec@5 62.500 (62.186)
Epoch: [4][11370/14090]	Time 0.733 (0.752)	Data 0.001 (0.001)	Loss 2.9251 (2.8773)	Prec@1 32.812 (32.260)	Prec@5 64.062 (62.188)
Epoch: [4][11380/14090]	Time 0.750 (0.752)	Data 0.001 (0.001)	Loss 2.9988 (2.8774)	Prec@1 27.344 (32.259)	Prec@5 58.594 (62.186)
Epoch: [4][11390/14090]	Time 0.739 (0.752)	Data 0.001 (0.001)	Loss 3.1881 (2.8774)	Prec@1 25.000 (32.260)	Prec@5 54.688 (62.187)
Epoch: [4][11400/14090]	Time 0.757 (0.752)	Data 0.001 (0.001)	Loss 3.1393 (2.8774)	Prec@1 27.344 (32.258)	Prec@5 64.062 (62.187)
Epoch: [4][11410/14090]	Time 0.751 (0.752)	Data 0.003 (0.001)	Loss 2.9475 (2.8774)	Prec@1 28.906 (32.260)	Prec@5 60.156 (62.189)
Epoch: [4][11420/14090]	Time 0.778 (0.752)	Data 0.001 (0.001)	Loss 2.6631 (2.8773)	Prec@1 39.062 (32.262)	Prec@5 67.188 (62.190)
Epoch: [4][11430/14090]	Time 0.733 (0.752)	Data 0.001 (0.001)	Loss 2.7873 (2.8772)	Prec@1 32.812 (32.262)	Prec@5 68.750 (62.191)
Epoch: [4][11440/14090]	Time 0.748 (0.752)	Data 0.001 (0.001)	Loss 2.5474 (2.8772)	Prec@1 33.594 (32.262)	Prec@5 67.188 (62.191)
Epoch: [4][11450/14090]	Time 0.756 (0.752)	Data 0.001 (0.001)	Loss 2.9236 (2.8772)	Prec@1 29.688 (32.262)	Prec@5 63.281 (62.192)
Epoch: [4][11460/14090]	Time 0.743 (0.752)	Data 0.001 (0.001)	Loss 2.8940 (2.8772)	Prec@1 29.688 (32.261)	Prec@5 64.062 (62.192)
Epoch: [4][11470/14090]	Time 0.737 (0.752)	Data 0.001 (0.001)	Loss 2.7989 (2.8773)	Prec@1 37.500 (32.260)	Prec@5 65.625 (62.191)
Epoch: [4][11480/14090]	Time 0.758 (0.752)	Data 0.002 (0.001)	Loss 2.9040 (2.8774)	Prec@1 32.031 (32.260)	Prec@5 62.500 (62.190)
Epoch: [4][11490/14090]	Time 0.740 (0.752)	Data 0.001 (0.001)	Loss 2.6477 (2.8773)	Prec@1 38.281 (32.260)	Prec@5 70.312 (62.191)
Epoch: [4][11500/14090]	Time 0.743 (0.752)	Data 0.001 (0.001)	Loss 2.8555 (2.8772)	Prec@1 33.594 (32.261)	Prec@5 63.281 (62.192)
Epoch: [4][11510/14090]	Time 0.752 (0.752)	Data 0.001 (0.001)	Loss 2.8331 (2.8772)	Prec@1 39.062 (32.262)	Prec@5 62.500 (62.194)
Epoch: [4][11520/14090]	Time 0.754 (0.752)	Data 0.001 (0.001)	Loss 2.7914 (2.8771)	Prec@1 38.281 (32.263)	Prec@5 63.281 (62.197)
Epoch: [4][11530/14090]	Time 0.749 (0.752)	Data 0.003 (0.001)	Loss 2.6402 (2.8770)	Prec@1 32.812 (32.265)	Prec@5 65.625 (62.198)
Epoch: [4][11540/14090]	Time 0.804 (0.752)	Data 0.001 (0.001)	Loss 3.1075 (2.8770)	Prec@1 29.688 (32.267)	Prec@5 54.688 (62.198)
Epoch: [4][11550/14090]	Time 0.735 (0.752)	Data 0.002 (0.001)	Loss 2.7814 (2.8770)	Prec@1 32.812 (32.266)	Prec@5 61.719 (62.196)
Epoch: [4][11560/14090]	Time 0.737 (0.752)	Data 0.001 (0.001)	Loss 2.7700 (2.8770)	Prec@1 35.156 (32.268)	Prec@5 63.281 (62.197)
Epoch: [4][11570/14090]	Time 0.728 (0.752)	Data 0.001 (0.001)	Loss 2.8552 (2.8770)	Prec@1 35.156 (32.267)	Prec@5 67.188 (62.197)
Epoch: [4][11580/14090]	Time 0.739 (0.752)	Data 0.001 (0.001)	Loss 3.1357 (2.8771)	Prec@1 25.000 (32.267)	Prec@5 58.594 (62.196)
Epoch: [4][11590/14090]	Time 0.759 (0.752)	Data 0.001 (0.001)	Loss 3.4190 (2.8771)	Prec@1 19.531 (32.266)	Prec@5 50.000 (62.195)
Epoch: [4][11600/14090]	Time 0.759 (0.752)	Data 0.001 (0.001)	Loss 3.1427 (2.8771)	Prec@1 25.781 (32.267)	Prec@5 59.375 (62.198)
Epoch: [4][11610/14090]	Time 0.766 (0.752)	Data 0.002 (0.001)	Loss 2.7977 (2.8770)	Prec@1 35.156 (32.268)	Prec@5 61.719 (62.199)
Epoch: [4][11620/14090]	Time 0.727 (0.752)	Data 0.002 (0.001)	Loss 2.9619 (2.8771)	Prec@1 30.469 (32.269)	Prec@5 60.156 (62.198)
Epoch: [4][11630/14090]	Time 0.788 (0.752)	Data 0.001 (0.001)	Loss 2.7753 (2.8771)	Prec@1 32.812 (32.268)	Prec@5 64.062 (62.198)
Epoch: [4][11640/14090]	Time 0.731 (0.752)	Data 0.001 (0.001)	Loss 2.9780 (2.8772)	Prec@1 31.250 (32.268)	Prec@5 60.156 (62.196)
Epoch: [4][11650/14090]	Time 0.732 (0.752)	Data 0.001 (0.001)	Loss 2.7584 (2.8771)	Prec@1 32.031 (32.269)	Prec@5 64.062 (62.198)
Epoch: [4][11660/14090]	Time 0.770 (0.752)	Data 0.001 (0.001)	Loss 2.6120 (2.8771)	Prec@1 38.281 (32.270)	Prec@5 68.750 (62.198)
Epoch: [4][11670/14090]	Time 0.725 (0.752)	Data 0.001 (0.001)	Loss 2.6865 (2.8770)	Prec@1 35.156 (32.272)	Prec@5 64.062 (62.200)
Epoch: [4][11680/14090]	Time 0.746 (0.752)	Data 0.001 (0.001)	Loss 3.0165 (2.8770)	Prec@1 30.469 (32.272)	Prec@5 57.812 (62.201)
Epoch: [4][11690/14090]	Time 0.745 (0.752)	Data 0.002 (0.001)	Loss 3.0321 (2.8770)	Prec@1 24.219 (32.271)	Prec@5 56.250 (62.200)
Epoch: [4][11700/14090]	Time 0.745 (0.752)	Data 0.001 (0.001)	Loss 2.9932 (2.8770)	Prec@1 26.562 (32.271)	Prec@5 61.719 (62.200)
Epoch: [4][11710/14090]	Time 0.756 (0.752)	Data 0.001 (0.001)	Loss 2.7041 (2.8769)	Prec@1 35.156 (32.272)	Prec@5 64.062 (62.202)
Epoch: [4][11720/14090]	Time 0.729 (0.752)	Data 0.001 (0.001)	Loss 2.9042 (2.8770)	Prec@1 31.250 (32.270)	Prec@5 60.938 (62.200)
Epoch: [4][11730/14090]	Time 0.743 (0.752)	Data 0.001 (0.001)	Loss 3.0200 (2.8770)	Prec@1 30.469 (32.269)	Prec@5 59.375 (62.200)
Epoch: [4][11740/14090]	Time 0.769 (0.752)	Data 0.001 (0.001)	Loss 2.7549 (2.8770)	Prec@1 32.812 (32.270)	Prec@5 64.844 (62.201)
Epoch: [4][11750/14090]	Time 0.747 (0.752)	Data 0.001 (0.001)	Loss 2.5099 (2.8770)	Prec@1 42.969 (32.269)	Prec@5 65.625 (62.200)
Epoch: [4][11760/14090]	Time 0.743 (0.752)	Data 0.002 (0.001)	Loss 2.9934 (2.8769)	Prec@1 29.688 (32.269)	Prec@5 63.281 (62.202)
Epoch: [4][11770/14090]	Time 0.741 (0.752)	Data 0.001 (0.001)	Loss 3.1125 (2.8769)	Prec@1 28.906 (32.269)	Prec@5 54.688 (62.201)
Epoch: [4][11780/14090]	Time 0.736 (0.752)	Data 0.001 (0.001)	Loss 2.7212 (2.8769)	Prec@1 32.031 (32.269)	Prec@5 59.375 (62.202)
Epoch: [4][11790/14090]	Time 0.737 (0.752)	Data 0.001 (0.001)	Loss 2.8888 (2.8768)	Prec@1 28.125 (32.270)	Prec@5 60.156 (62.202)
Epoch: [4][11800/14090]	Time 0.777 (0.752)	Data 0.001 (0.001)	Loss 2.7867 (2.8768)	Prec@1 33.594 (32.270)	Prec@5 67.188 (62.203)
Epoch: [4][11810/14090]	Time 0.752 (0.752)	Data 0.001 (0.001)	Loss 2.5007 (2.8767)	Prec@1 36.719 (32.270)	Prec@5 68.750 (62.203)
Epoch: [4][11820/14090]	Time 0.744 (0.752)	Data 0.001 (0.001)	Loss 2.8488 (2.8767)	Prec@1 37.500 (32.270)	Prec@5 61.719 (62.203)
Epoch: [4][11830/14090]	Time 0.762 (0.752)	Data 0.002 (0.001)	Loss 3.0079 (2.8768)	Prec@1 30.469 (32.270)	Prec@5 61.719 (62.203)
Epoch: [4][11840/14090]	Time 0.739 (0.752)	Data 0.001 (0.001)	Loss 2.9342 (2.8768)	Prec@1 28.125 (32.271)	Prec@5 62.500 (62.204)
Epoch: [4][11850/14090]	Time 0.789 (0.752)	Data 0.001 (0.001)	Loss 3.0100 (2.8768)	Prec@1 32.812 (32.270)	Prec@5 56.250 (62.202)
Epoch: [4][11860/14090]	Time 0.758 (0.752)	Data 0.001 (0.001)	Loss 2.6869 (2.8768)	Prec@1 31.250 (32.270)	Prec@5 61.719 (62.202)
Epoch: [4][11870/14090]	Time 0.751 (0.752)	Data 0.001 (0.001)	Loss 2.8018 (2.8768)	Prec@1 30.469 (32.271)	Prec@5 60.156 (62.202)
Epoch: [4][11880/14090]	Time 0.733 (0.752)	Data 0.001 (0.001)	Loss 3.0848 (2.8768)	Prec@1 27.344 (32.272)	Prec@5 57.031 (62.203)
Epoch: [4][11890/14090]	Time 0.749 (0.752)	Data 0.001 (0.001)	Loss 2.9510 (2.8767)	Prec@1 28.906 (32.274)	Prec@5 67.188 (62.204)
Epoch: [4][11900/14090]	Time 0.752 (0.752)	Data 0.002 (0.001)	Loss 3.0169 (2.8768)	Prec@1 27.344 (32.272)	Prec@5 60.938 (62.204)
Epoch: [4][11910/14090]	Time 0.784 (0.752)	Data 0.001 (0.001)	Loss 3.0096 (2.8767)	Prec@1 28.125 (32.273)	Prec@5 58.594 (62.205)
Epoch: [4][11920/14090]	Time 0.778 (0.752)	Data 0.001 (0.001)	Loss 2.9156 (2.8767)	Prec@1 29.688 (32.274)	Prec@5 65.625 (62.206)
Epoch: [4][11930/14090]	Time 0.776 (0.752)	Data 0.001 (0.001)	Loss 2.9967 (2.8768)	Prec@1 32.031 (32.275)	Prec@5 60.156 (62.204)
Epoch: [4][11940/14090]	Time 0.732 (0.752)	Data 0.001 (0.001)	Loss 2.9242 (2.8767)	Prec@1 27.344 (32.275)	Prec@5 62.500 (62.205)
Epoch: [4][11950/14090]	Time 0.734 (0.752)	Data 0.001 (0.001)	Loss 3.2524 (2.8766)	Prec@1 26.562 (32.276)	Prec@5 51.562 (62.206)
Epoch: [4][11960/14090]	Time 0.765 (0.752)	Data 0.001 (0.001)	Loss 2.8519 (2.8767)	Prec@1 32.812 (32.276)	Prec@5 62.500 (62.205)
Epoch: [4][11970/14090]	Time 0.738 (0.752)	Data 0.002 (0.001)	Loss 2.9335 (2.8767)	Prec@1 32.031 (32.275)	Prec@5 62.500 (62.206)
Epoch: [4][11980/14090]	Time 0.737 (0.752)	Data 0.001 (0.001)	Loss 2.7175 (2.8766)	Prec@1 32.812 (32.277)	Prec@5 65.625 (62.208)
Epoch: [4][11990/14090]	Time 0.728 (0.752)	Data 0.001 (0.001)	Loss 2.8289 (2.8767)	Prec@1 34.375 (32.275)	Prec@5 61.719 (62.206)
Epoch: [4][12000/14090]	Time 0.734 (0.752)	Data 0.001 (0.001)	Loss 3.3951 (2.8767)	Prec@1 23.438 (32.275)	Prec@5 57.812 (62.208)
Epoch: [4][12010/14090]	Time 0.738 (0.752)	Data 0.001 (0.001)	Loss 2.5911 (2.8767)	Prec@1 37.500 (32.275)	Prec@5 66.406 (62.207)
Epoch: [4][12020/14090]	Time 0.735 (0.752)	Data 0.001 (0.001)	Loss 3.0155 (2.8767)	Prec@1 35.156 (32.277)	Prec@5 58.594 (62.207)
Epoch: [4][12030/14090]	Time 0.778 (0.752)	Data 0.001 (0.001)	Loss 3.0007 (2.8767)	Prec@1 29.688 (32.277)	Prec@5 57.812 (62.207)
Epoch: [4][12040/14090]	Time 0.734 (0.752)	Data 0.002 (0.001)	Loss 2.8220 (2.8767)	Prec@1 30.469 (32.278)	Prec@5 60.938 (62.208)
Epoch: [4][12050/14090]	Time 0.764 (0.752)	Data 0.001 (0.001)	Loss 2.8323 (2.8767)	Prec@1 34.375 (32.278)	Prec@5 62.500 (62.207)
Epoch: [4][12060/14090]	Time 0.777 (0.752)	Data 0.001 (0.001)	Loss 2.7764 (2.8767)	Prec@1 33.594 (32.278)	Prec@5 64.062 (62.206)
Epoch: [4][12070/14090]	Time 0.767 (0.752)	Data 0.001 (0.001)	Loss 3.0198 (2.8766)	Prec@1 31.250 (32.280)	Prec@5 60.156 (62.207)
Epoch: [4][12080/14090]	Time 0.731 (0.752)	Data 0.002 (0.001)	Loss 2.7078 (2.8766)	Prec@1 41.406 (32.280)	Prec@5 60.938 (62.207)
Epoch: [4][12090/14090]	Time 0.775 (0.752)	Data 0.001 (0.001)	Loss 2.5956 (2.8766)	Prec@1 39.844 (32.281)	Prec@5 68.750 (62.207)
Epoch: [4][12100/14090]	Time 0.741 (0.752)	Data 0.001 (0.001)	Loss 2.9192 (2.8766)	Prec@1 27.344 (32.280)	Prec@5 60.938 (62.207)
Epoch: [4][12110/14090]	Time 0.736 (0.752)	Data 0.002 (0.001)	Loss 3.1723 (2.8765)	Prec@1 25.781 (32.280)	Prec@5 57.812 (62.207)
Epoch: [4][12120/14090]	Time 0.749 (0.752)	Data 0.001 (0.001)	Loss 2.9630 (2.8765)	Prec@1 28.125 (32.280)	Prec@5 63.281 (62.208)
Epoch: [4][12130/14090]	Time 0.735 (0.752)	Data 0.001 (0.001)	Loss 3.1669 (2.8765)	Prec@1 30.469 (32.280)	Prec@5 56.250 (62.209)
Epoch: [4][12140/14090]	Time 0.768 (0.752)	Data 0.001 (0.001)	Loss 2.7511 (2.8765)	Prec@1 35.156 (32.281)	Prec@5 66.406 (62.209)
Epoch: [4][12150/14090]	Time 0.736 (0.752)	Data 0.001 (0.001)	Loss 2.8987 (2.8764)	Prec@1 24.219 (32.281)	Prec@5 58.594 (62.209)
Epoch: [4][12160/14090]	Time 0.738 (0.752)	Data 0.001 (0.001)	Loss 2.8522 (2.8764)	Prec@1 36.719 (32.283)	Prec@5 60.938 (62.209)
Epoch: [4][12170/14090]	Time 0.775 (0.752)	Data 0.001 (0.001)	Loss 2.7567 (2.8763)	Prec@1 35.156 (32.284)	Prec@5 64.844 (62.211)
Epoch: [4][12180/14090]	Time 0.748 (0.752)	Data 0.002 (0.001)	Loss 2.6652 (2.8763)	Prec@1 37.500 (32.285)	Prec@5 64.062 (62.212)
Epoch: [4][12190/14090]	Time 0.744 (0.752)	Data 0.001 (0.001)	Loss 2.8327 (2.8762)	Prec@1 34.375 (32.285)	Prec@5 62.500 (62.212)
Epoch: [4][12200/14090]	Time 0.748 (0.752)	Data 0.001 (0.001)	Loss 2.9763 (2.8762)	Prec@1 30.469 (32.283)	Prec@5 64.844 (62.212)
Epoch: [4][12210/14090]	Time 0.739 (0.752)	Data 0.001 (0.001)	Loss 2.8796 (2.8761)	Prec@1 35.156 (32.285)	Prec@5 64.844 (62.213)
Epoch: [4][12220/14090]	Time 0.771 (0.752)	Data 0.001 (0.001)	Loss 2.5629 (2.8761)	Prec@1 42.188 (32.285)	Prec@5 69.531 (62.214)
Epoch: [4][12230/14090]	Time 0.755 (0.752)	Data 0.001 (0.001)	Loss 2.6722 (2.8762)	Prec@1 33.594 (32.284)	Prec@5 64.062 (62.213)
Epoch: [4][12240/14090]	Time 0.745 (0.752)	Data 0.001 (0.001)	Loss 2.6482 (2.8761)	Prec@1 29.688 (32.284)	Prec@5 71.094 (62.215)
Epoch: [4][12250/14090]	Time 0.770 (0.752)	Data 0.002 (0.001)	Loss 2.5632 (2.8760)	Prec@1 42.188 (32.286)	Prec@5 68.750 (62.217)
Epoch: [4][12260/14090]	Time 0.732 (0.752)	Data 0.001 (0.001)	Loss 2.7620 (2.8760)	Prec@1 32.812 (32.286)	Prec@5 64.844 (62.217)
Epoch: [4][12270/14090]	Time 0.750 (0.752)	Data 0.001 (0.001)	Loss 2.7727 (2.8761)	Prec@1 33.594 (32.285)	Prec@5 64.062 (62.215)
Epoch: [4][12280/14090]	Time 0.723 (0.752)	Data 0.001 (0.001)	Loss 2.9512 (2.8760)	Prec@1 34.375 (32.285)	Prec@5 57.812 (62.216)
Epoch: [4][12290/14090]	Time 0.736 (0.752)	Data 0.001 (0.001)	Loss 2.9383 (2.8760)	Prec@1 32.031 (32.285)	Prec@5 57.031 (62.216)
Epoch: [4][12300/14090]	Time 0.767 (0.752)	Data 0.001 (0.001)	Loss 2.8878 (2.8760)	Prec@1 34.375 (32.286)	Prec@5 60.156 (62.217)
Epoch: [4][12310/14090]	Time 0.752 (0.752)	Data 0.001 (0.001)	Loss 2.9068 (2.8760)	Prec@1 32.812 (32.286)	Prec@5 63.281 (62.217)
Epoch: [4][12320/14090]	Time 0.756 (0.752)	Data 0.002 (0.001)	Loss 2.8635 (2.8759)	Prec@1 32.812 (32.288)	Prec@5 62.500 (62.218)
Epoch: [4][12330/14090]	Time 0.751 (0.752)	Data 0.001 (0.001)	Loss 2.8716 (2.8759)	Prec@1 31.250 (32.289)	Prec@5 60.938 (62.217)
Epoch: [4][12340/14090]	Time 0.757 (0.752)	Data 0.001 (0.001)	Loss 2.9956 (2.8759)	Prec@1 30.469 (32.289)	Prec@5 57.812 (62.216)
Epoch: [4][12350/14090]	Time 0.743 (0.752)	Data 0.001 (0.001)	Loss 2.9777 (2.8758)	Prec@1 28.125 (32.290)	Prec@5 61.719 (62.217)
Epoch: [4][12360/14090]	Time 0.746 (0.752)	Data 0.001 (0.001)	Loss 2.7662 (2.8758)	Prec@1 32.031 (32.290)	Prec@5 61.719 (62.217)
Epoch: [4][12370/14090]	Time 0.784 (0.752)	Data 0.001 (0.001)	Loss 3.0020 (2.8759)	Prec@1 36.719 (32.291)	Prec@5 57.031 (62.215)
Epoch: [4][12380/14090]	Time 0.748 (0.752)	Data 0.001 (0.001)	Loss 2.6625 (2.8758)	Prec@1 34.375 (32.291)	Prec@5 64.062 (62.215)
Epoch: [4][12390/14090]	Time 0.731 (0.752)	Data 0.002 (0.001)	Loss 2.7392 (2.8758)	Prec@1 32.031 (32.292)	Prec@5 67.969 (62.216)
Epoch: [4][12400/14090]	Time 0.775 (0.752)	Data 0.001 (0.001)	Loss 3.0239 (2.8758)	Prec@1 30.469 (32.292)	Prec@5 62.500 (62.217)
Epoch: [4][12410/14090]	Time 0.779 (0.752)	Data 0.001 (0.001)	Loss 2.6487 (2.8758)	Prec@1 36.719 (32.291)	Prec@5 68.750 (62.215)
Epoch: [4][12420/14090]	Time 0.754 (0.752)	Data 0.001 (0.001)	Loss 2.7825 (2.8758)	Prec@1 38.281 (32.291)	Prec@5 63.281 (62.216)
Epoch: [4][12430/14090]	Time 0.738 (0.752)	Data 0.001 (0.001)	Loss 2.7978 (2.8757)	Prec@1 34.375 (32.293)	Prec@5 62.500 (62.217)
Epoch: [4][12440/14090]	Time 0.770 (0.752)	Data 0.001 (0.001)	Loss 2.9219 (2.8756)	Prec@1 36.719 (32.294)	Prec@5 60.156 (62.218)
Epoch: [4][12450/14090]	Time 0.757 (0.752)	Data 0.001 (0.001)	Loss 2.7297 (2.8757)	Prec@1 31.250 (32.293)	Prec@5 71.875 (62.217)
Epoch: [4][12460/14090]	Time 0.737 (0.752)	Data 0.002 (0.001)	Loss 3.2422 (2.8757)	Prec@1 34.375 (32.296)	Prec@5 56.250 (62.218)
Epoch: [4][12470/14090]	Time 0.756 (0.752)	Data 0.001 (0.001)	Loss 2.7318 (2.8757)	Prec@1 32.812 (32.294)	Prec@5 62.500 (62.217)
Epoch: [4][12480/14090]	Time 0.726 (0.752)	Data 0.001 (0.001)	Loss 2.7000 (2.8757)	Prec@1 35.156 (32.295)	Prec@5 66.406 (62.218)
Epoch: [4][12490/14090]	Time 0.778 (0.752)	Data 0.001 (0.001)	Loss 3.2101 (2.8757)	Prec@1 27.344 (32.295)	Prec@5 55.469 (62.218)
Epoch: [4][12500/14090]	Time 0.732 (0.752)	Data 0.001 (0.001)	Loss 2.7701 (2.8758)	Prec@1 35.156 (32.293)	Prec@5 64.062 (62.216)
Epoch: [4][12510/14090]	Time 0.733 (0.752)	Data 0.001 (0.001)	Loss 2.7140 (2.8758)	Prec@1 38.281 (32.292)	Prec@5 65.625 (62.214)
Epoch: [4][12520/14090]	Time 0.773 (0.752)	Data 0.001 (0.001)	Loss 3.1047 (2.8758)	Prec@1 24.219 (32.291)	Prec@5 56.250 (62.214)
Epoch: [4][12530/14090]	Time 0.755 (0.752)	Data 0.004 (0.001)	Loss 3.0534 (2.8759)	Prec@1 30.469 (32.291)	Prec@5 60.938 (62.215)
Epoch: [4][12540/14090]	Time 0.779 (0.752)	Data 0.001 (0.001)	Loss 2.7934 (2.8759)	Prec@1 35.156 (32.290)	Prec@5 64.844 (62.213)
Epoch: [4][12550/14090]	Time 0.786 (0.752)	Data 0.001 (0.001)	Loss 2.9691 (2.8759)	Prec@1 38.281 (32.290)	Prec@5 60.156 (62.212)
Epoch: [4][12560/14090]	Time 0.727 (0.752)	Data 0.001 (0.001)	Loss 2.6382 (2.8759)	Prec@1 39.844 (32.289)	Prec@5 63.281 (62.212)
Epoch: [4][12570/14090]	Time 0.732 (0.752)	Data 0.001 (0.001)	Loss 3.2082 (2.8759)	Prec@1 32.031 (32.290)	Prec@5 55.469 (62.213)
Epoch: [4][12580/14090]	Time 0.726 (0.752)	Data 0.001 (0.001)	Loss 2.8266 (2.8759)	Prec@1 33.594 (32.291)	Prec@5 64.062 (62.213)
Epoch: [4][12590/14090]	Time 0.759 (0.752)	Data 0.001 (0.001)	Loss 2.8839 (2.8759)	Prec@1 32.812 (32.291)	Prec@5 63.281 (62.213)
Epoch: [4][12600/14090]	Time 0.753 (0.752)	Data 0.002 (0.001)	Loss 2.8570 (2.8760)	Prec@1 31.250 (32.290)	Prec@5 64.844 (62.212)
Epoch: [4][12610/14090]	Time 0.760 (0.752)	Data 0.001 (0.001)	Loss 2.6846 (2.8759)	Prec@1 34.375 (32.290)	Prec@5 70.312 (62.214)
Epoch: [4][12620/14090]	Time 0.774 (0.752)	Data 0.001 (0.001)	Loss 2.6302 (2.8759)	Prec@1 37.500 (32.290)	Prec@5 64.844 (62.214)
Epoch: [4][12630/14090]	Time 0.725 (0.752)	Data 0.001 (0.001)	Loss 2.8332 (2.8759)	Prec@1 28.906 (32.290)	Prec@5 64.844 (62.215)
Epoch: [4][12640/14090]	Time 0.744 (0.752)	Data 0.001 (0.001)	Loss 2.9734 (2.8759)	Prec@1 30.469 (32.291)	Prec@5 63.281 (62.215)
Epoch: [4][12650/14090]	Time 0.752 (0.752)	Data 0.001 (0.001)	Loss 2.8765 (2.8759)	Prec@1 30.469 (32.291)	Prec@5 60.156 (62.216)
Epoch: [4][12660/14090]	Time 0.749 (0.752)	Data 0.001 (0.001)	Loss 2.7913 (2.8758)	Prec@1 35.938 (32.292)	Prec@5 66.406 (62.217)
Epoch: [4][12670/14090]	Time 0.736 (0.752)	Data 0.002 (0.001)	Loss 3.0309 (2.8758)	Prec@1 32.812 (32.293)	Prec@5 58.594 (62.218)
Epoch: [4][12680/14090]	Time 0.725 (0.752)	Data 0.001 (0.001)	Loss 2.7663 (2.8758)	Prec@1 32.031 (32.292)	Prec@5 65.625 (62.219)
Epoch: [4][12690/14090]	Time 0.781 (0.752)	Data 0.001 (0.001)	Loss 2.8655 (2.8757)	Prec@1 32.812 (32.294)	Prec@5 60.156 (62.219)
Epoch: [4][12700/14090]	Time 0.757 (0.752)	Data 0.001 (0.001)	Loss 2.6866 (2.8757)	Prec@1 37.500 (32.294)	Prec@5 66.406 (62.220)
Epoch: [4][12710/14090]	Time 0.749 (0.752)	Data 0.001 (0.001)	Loss 2.7294 (2.8758)	Prec@1 33.594 (32.293)	Prec@5 64.844 (62.216)
Epoch: [4][12720/14090]	Time 0.756 (0.752)	Data 0.001 (0.001)	Loss 2.9103 (2.8758)	Prec@1 29.688 (32.291)	Prec@5 55.469 (62.215)
Epoch: [4][12730/14090]	Time 0.748 (0.752)	Data 0.001 (0.001)	Loss 3.0341 (2.8758)	Prec@1 33.594 (32.293)	Prec@5 60.938 (62.216)
Epoch: [4][12740/14090]	Time 0.735 (0.752)	Data 0.002 (0.001)	Loss 2.9786 (2.8758)	Prec@1 34.375 (32.293)	Prec@5 63.281 (62.217)
Epoch: [4][12750/14090]	Time 0.733 (0.752)	Data 0.001 (0.001)	Loss 2.7295 (2.8758)	Prec@1 36.719 (32.295)	Prec@5 64.844 (62.217)
Epoch: [4][12760/14090]	Time 0.755 (0.752)	Data 0.001 (0.001)	Loss 2.9338 (2.8758)	Prec@1 31.250 (32.296)	Prec@5 59.375 (62.216)
Epoch: [4][12770/14090]	Time 0.751 (0.752)	Data 0.001 (0.001)	Loss 2.8032 (2.8758)	Prec@1 35.156 (32.296)	Prec@5 63.281 (62.216)
Epoch: [4][12780/14090]	Time 0.728 (0.752)	Data 0.001 (0.001)	Loss 3.1570 (2.8758)	Prec@1 29.688 (32.296)	Prec@5 59.375 (62.216)
Epoch: [4][12790/14090]	Time 0.765 (0.752)	Data 0.001 (0.001)	Loss 2.7794 (2.8758)	Prec@1 33.594 (32.295)	Prec@5 59.375 (62.216)
Epoch: [4][12800/14090]	Time 0.756 (0.752)	Data 0.001 (0.001)	Loss 2.7809 (2.8758)	Prec@1 31.250 (32.295)	Prec@5 62.500 (62.218)
Epoch: [4][12810/14090]	Time 0.734 (0.752)	Data 0.002 (0.001)	Loss 3.0400 (2.8757)	Prec@1 34.375 (32.297)	Prec@5 57.812 (62.219)
Epoch: [4][12820/14090]	Time 0.778 (0.752)	Data 0.001 (0.001)	Loss 2.9125 (2.8758)	Prec@1 30.469 (32.295)	Prec@5 60.938 (62.218)
Epoch: [4][12830/14090]	Time 0.738 (0.752)	Data 0.001 (0.001)	Loss 2.6086 (2.8758)	Prec@1 35.156 (32.295)	Prec@5 65.625 (62.217)
Epoch: [4][12840/14090]	Time 0.745 (0.752)	Data 0.001 (0.001)	Loss 2.9770 (2.8758)	Prec@1 36.719 (32.296)	Prec@5 58.594 (62.216)
Epoch: [4][12850/14090]	Time 0.740 (0.752)	Data 0.001 (0.001)	Loss 3.1347 (2.8758)	Prec@1 31.250 (32.297)	Prec@5 54.688 (62.216)
Epoch: [4][12860/14090]	Time 0.720 (0.752)	Data 0.001 (0.001)	Loss 2.8759 (2.8757)	Prec@1 30.469 (32.298)	Prec@5 65.625 (62.218)
Epoch: [4][12870/14090]	Time 0.785 (0.752)	Data 0.001 (0.001)	Loss 2.9794 (2.8756)	Prec@1 34.375 (32.298)	Prec@5 64.062 (62.219)
Epoch: [4][12880/14090]	Time 0.754 (0.752)	Data 0.002 (0.001)	Loss 3.0660 (2.8756)	Prec@1 28.125 (32.298)	Prec@5 57.031 (62.219)
Epoch: [4][12890/14090]	Time 0.737 (0.752)	Data 0.001 (0.001)	Loss 2.8949 (2.8756)	Prec@1 34.375 (32.299)	Prec@5 59.375 (62.219)
Epoch: [4][12900/14090]	Time 0.750 (0.752)	Data 0.001 (0.001)	Loss 2.7571 (2.8756)	Prec@1 35.938 (32.299)	Prec@5 60.156 (62.218)
Epoch: [4][12910/14090]	Time 0.748 (0.752)	Data 0.001 (0.001)	Loss 2.8563 (2.8757)	Prec@1 35.156 (32.300)	Prec@5 61.719 (62.217)
Epoch: [4][12920/14090]	Time 0.731 (0.752)	Data 0.001 (0.001)	Loss 2.6850 (2.8756)	Prec@1 39.062 (32.301)	Prec@5 66.406 (62.219)
Epoch: [4][12930/14090]	Time 0.730 (0.752)	Data 0.001 (0.001)	Loss 3.1768 (2.8756)	Prec@1 25.000 (32.300)	Prec@5 55.469 (62.218)
Epoch: [4][12940/14090]	Time 0.764 (0.752)	Data 0.001 (0.001)	Loss 2.8689 (2.8756)	Prec@1 31.250 (32.300)	Prec@5 62.500 (62.218)
Epoch: [4][12950/14090]	Time 0.765 (0.752)	Data 0.002 (0.001)	Loss 2.5932 (2.8756)	Prec@1 36.719 (32.300)	Prec@5 68.750 (62.219)
Epoch: [4][12960/14090]	Time 0.751 (0.752)	Data 0.001 (0.001)	Loss 3.0114 (2.8756)	Prec@1 28.125 (32.300)	Prec@5 60.156 (62.219)
Epoch: [4][12970/14090]	Time 0.752 (0.752)	Data 0.001 (0.001)	Loss 3.1200 (2.8757)	Prec@1 28.906 (32.299)	Prec@5 56.250 (62.217)
Epoch: [4][12980/14090]	Time 0.753 (0.752)	Data 0.001 (0.001)	Loss 2.8545 (2.8757)	Prec@1 28.906 (32.298)	Prec@5 57.812 (62.216)
Epoch: [4][12990/14090]	Time 0.775 (0.752)	Data 0.001 (0.001)	Loss 2.7228 (2.8757)	Prec@1 36.719 (32.299)	Prec@5 61.719 (62.215)
Epoch: [4][13000/14090]	Time 0.751 (0.752)	Data 0.001 (0.001)	Loss 2.8858 (2.8757)	Prec@1 37.500 (32.299)	Prec@5 65.625 (62.215)
Epoch: [4][13010/14090]	Time 0.752 (0.752)	Data 0.001 (0.001)	Loss 2.7396 (2.8756)	Prec@1 34.375 (32.298)	Prec@5 66.406 (62.216)
Epoch: [4][13020/14090]	Time 0.775 (0.752)	Data 0.002 (0.001)	Loss 2.6350 (2.8756)	Prec@1 35.938 (32.299)	Prec@5 62.500 (62.217)
Epoch: [4][13030/14090]	Time 0.730 (0.752)	Data 0.001 (0.001)	Loss 2.6744 (2.8756)	Prec@1 33.594 (32.297)	Prec@5 66.406 (62.216)
Epoch: [4][13040/14090]	Time 0.746 (0.752)	Data 0.001 (0.001)	Loss 2.7641 (2.8756)	Prec@1 33.594 (32.298)	Prec@5 62.500 (62.218)
Epoch: [4][13050/14090]	Time 0.759 (0.752)	Data 0.001 (0.001)	Loss 2.6462 (2.8755)	Prec@1 35.156 (32.301)	Prec@5 62.500 (62.219)
Epoch: [4][13060/14090]	Time 0.756 (0.752)	Data 0.001 (0.001)	Loss 2.5652 (2.8755)	Prec@1 37.500 (32.300)	Prec@5 71.094 (62.220)
Epoch: [4][13070/14090]	Time 0.733 (0.752)	Data 0.001 (0.001)	Loss 2.8086 (2.8755)	Prec@1 36.719 (32.300)	Prec@5 66.406 (62.220)
Epoch: [4][13080/14090]	Time 0.759 (0.752)	Data 0.001 (0.001)	Loss 3.2062 (2.8756)	Prec@1 24.219 (32.298)	Prec@5 59.375 (62.219)
Epoch: [4][13090/14090]	Time 0.757 (0.752)	Data 0.002 (0.001)	Loss 2.9752 (2.8756)	Prec@1 31.250 (32.296)	Prec@5 55.469 (62.218)
Epoch: [4][13100/14090]	Time 0.772 (0.752)	Data 0.001 (0.001)	Loss 2.6568 (2.8756)	Prec@1 34.375 (32.296)	Prec@5 67.188 (62.218)
Epoch: [4][13110/14090]	Time 0.783 (0.752)	Data 0.001 (0.001)	Loss 2.6199 (2.8756)	Prec@1 37.500 (32.296)	Prec@5 64.062 (62.216)
Epoch: [4][13120/14090]	Time 0.728 (0.752)	Data 0.001 (0.001)	Loss 3.0789 (2.8756)	Prec@1 29.688 (32.295)	Prec@5 60.156 (62.216)
Epoch: [4][13130/14090]	Time 0.741 (0.752)	Data 0.001 (0.001)	Loss 3.0039 (2.8757)	Prec@1 32.031 (32.295)	Prec@5 58.594 (62.216)
Epoch: [4][13140/14090]	Time 0.725 (0.752)	Data 0.001 (0.001)	Loss 2.8746 (2.8756)	Prec@1 33.594 (32.296)	Prec@5 61.719 (62.216)
Epoch: [4][13150/14090]	Time 0.755 (0.752)	Data 0.001 (0.001)	Loss 2.8644 (2.8756)	Prec@1 36.719 (32.296)	Prec@5 64.062 (62.216)
Epoch: [4][13160/14090]	Time 0.777 (0.752)	Data 0.002 (0.001)	Loss 2.6458 (2.8756)	Prec@1 37.500 (32.297)	Prec@5 61.719 (62.215)
Epoch: [4][13170/14090]	Time 0.756 (0.752)	Data 0.001 (0.001)	Loss 2.8838 (2.8757)	Prec@1 31.250 (32.295)	Prec@5 62.500 (62.215)
Epoch: [4][13180/14090]	Time 0.758 (0.752)	Data 0.001 (0.001)	Loss 2.8410 (2.8757)	Prec@1 28.125 (32.293)	Prec@5 64.062 (62.212)
Epoch: [4][13190/14090]	Time 0.744 (0.752)	Data 0.001 (0.001)	Loss 2.7056 (2.8757)	Prec@1 40.625 (32.295)	Prec@5 67.188 (62.212)
Epoch: [4][13200/14090]	Time 0.739 (0.752)	Data 0.001 (0.001)	Loss 2.6549 (2.8756)	Prec@1 38.281 (32.297)	Prec@5 66.406 (62.214)
Epoch: [4][13210/14090]	Time 0.738 (0.752)	Data 0.001 (0.001)	Loss 2.8367 (2.8756)	Prec@1 29.688 (32.296)	Prec@5 59.375 (62.212)
Epoch: [4][13220/14090]	Time 0.749 (0.752)	Data 0.001 (0.001)	Loss 2.9875 (2.8757)	Prec@1 24.219 (32.294)	Prec@5 59.375 (62.211)
Epoch: [4][13230/14090]	Time 0.733 (0.752)	Data 0.002 (0.001)	Loss 3.0618 (2.8756)	Prec@1 28.906 (32.295)	Prec@5 59.375 (62.211)
Epoch: [4][13240/14090]	Time 0.731 (0.752)	Data 0.001 (0.001)	Loss 3.1410 (2.8757)	Prec@1 27.344 (32.293)	Prec@5 57.812 (62.209)
Epoch: [4][13250/14090]	Time 0.726 (0.752)	Data 0.001 (0.001)	Loss 3.0345 (2.8757)	Prec@1 29.688 (32.292)	Prec@5 60.938 (62.209)
Epoch: [4][13260/14090]	Time 0.743 (0.752)	Data 0.001 (0.001)	Loss 2.7967 (2.8757)	Prec@1 37.500 (32.292)	Prec@5 67.188 (62.209)
Epoch: [4][13270/14090]	Time 0.738 (0.752)	Data 0.001 (0.001)	Loss 2.9234 (2.8757)	Prec@1 30.469 (32.292)	Prec@5 65.625 (62.209)
Epoch: [4][13280/14090]	Time 0.747 (0.752)	Data 0.001 (0.001)	Loss 2.9880 (2.8757)	Prec@1 35.938 (32.294)	Prec@5 60.156 (62.210)
Epoch: [4][13290/14090]	Time 0.751 (0.752)	Data 0.001 (0.001)	Loss 2.8092 (2.8757)	Prec@1 25.781 (32.292)	Prec@5 60.156 (62.209)
Epoch: [4][13300/14090]	Time 0.734 (0.752)	Data 0.002 (0.001)	Loss 2.8409 (2.8757)	Prec@1 34.375 (32.292)	Prec@5 62.500 (62.209)
Epoch: [4][13310/14090]	Time 0.782 (0.752)	Data 0.001 (0.001)	Loss 2.8149 (2.8757)	Prec@1 36.719 (32.293)	Prec@5 57.812 (62.208)
Epoch: [4][13320/14090]	Time 0.740 (0.752)	Data 0.001 (0.001)	Loss 2.9441 (2.8757)	Prec@1 31.250 (32.293)	Prec@5 59.375 (62.208)
Epoch: [4][13330/14090]	Time 0.756 (0.752)	Data 0.001 (0.001)	Loss 3.0248 (2.8756)	Prec@1 29.688 (32.294)	Prec@5 57.812 (62.211)
Epoch: [4][13340/14090]	Time 0.724 (0.752)	Data 0.001 (0.001)	Loss 2.5553 (2.8756)	Prec@1 41.406 (32.296)	Prec@5 67.969 (62.213)
Epoch: [4][13350/14090]	Time 0.733 (0.752)	Data 0.001 (0.001)	Loss 2.8415 (2.8756)	Prec@1 35.156 (32.297)	Prec@5 58.594 (62.214)
Epoch: [4][13360/14090]	Time 0.778 (0.752)	Data 0.001 (0.001)	Loss 2.4690 (2.8755)	Prec@1 42.969 (32.298)	Prec@5 71.094 (62.216)
Epoch: [4][13370/14090]	Time 0.761 (0.752)	Data 0.002 (0.001)	Loss 2.7522 (2.8755)	Prec@1 38.281 (32.298)	Prec@5 65.625 (62.216)
Epoch: [4][13380/14090]	Time 0.748 (0.752)	Data 0.001 (0.001)	Loss 2.8886 (2.8755)	Prec@1 28.906 (32.298)	Prec@5 58.594 (62.216)
Epoch: [4][13390/14090]	Time 0.780 (0.752)	Data 0.001 (0.001)	Loss 2.6471 (2.8754)	Prec@1 33.594 (32.298)	Prec@5 67.969 (62.216)
Epoch: [4][13400/14090]	Time 0.731 (0.752)	Data 0.001 (0.001)	Loss 2.7567 (2.8754)	Prec@1 32.031 (32.299)	Prec@5 60.938 (62.218)
Epoch: [4][13410/14090]	Time 0.733 (0.752)	Data 0.001 (0.001)	Loss 2.8687 (2.8753)	Prec@1 32.031 (32.299)	Prec@5 68.750 (62.219)
Epoch: [4][13420/14090]	Time 0.743 (0.752)	Data 0.001 (0.001)	Loss 3.0377 (2.8754)	Prec@1 28.125 (32.298)	Prec@5 59.375 (62.218)
Epoch: [4][13430/14090]	Time 0.732 (0.752)	Data 0.001 (0.001)	Loss 2.5907 (2.8754)	Prec@1 36.719 (32.298)	Prec@5 69.531 (62.218)
Epoch: [4][13440/14090]	Time 0.766 (0.752)	Data 0.002 (0.001)	Loss 2.7913 (2.8754)	Prec@1 32.031 (32.298)	Prec@5 64.844 (62.218)
Epoch: [4][13450/14090]	Time 0.778 (0.752)	Data 0.001 (0.001)	Loss 2.9799 (2.8755)	Prec@1 32.031 (32.297)	Prec@5 65.625 (62.217)
Epoch: [4][13460/14090]	Time 0.758 (0.752)	Data 0.001 (0.001)	Loss 2.8482 (2.8754)	Prec@1 33.594 (32.298)	Prec@5 64.062 (62.218)
Epoch: [4][13470/14090]	Time 0.741 (0.752)	Data 0.001 (0.001)	Loss 2.8714 (2.8754)	Prec@1 30.469 (32.297)	Prec@5 57.812 (62.218)
Epoch: [4][13480/14090]	Time 0.773 (0.752)	Data 0.001 (0.001)	Loss 3.0990 (2.8755)	Prec@1 25.781 (32.296)	Prec@5 53.906 (62.215)
Epoch: [4][13490/14090]	Time 0.744 (0.752)	Data 0.001 (0.001)	Loss 2.8960 (2.8755)	Prec@1 28.906 (32.295)	Prec@5 62.500 (62.215)
Epoch: [4][13500/14090]	Time 0.755 (0.752)	Data 0.001 (0.001)	Loss 3.2750 (2.8755)	Prec@1 24.219 (32.296)	Prec@5 57.031 (62.215)
Epoch: [4][13510/14090]	Time 0.751 (0.752)	Data 0.002 (0.001)	Loss 2.6307 (2.8755)	Prec@1 39.844 (32.297)	Prec@5 60.938 (62.215)
Epoch: [4][13520/14090]	Time 0.743 (0.752)	Data 0.001 (0.001)	Loss 2.7267 (2.8754)	Prec@1 30.469 (32.298)	Prec@5 65.625 (62.217)
Epoch: [4][13530/14090]	Time 0.757 (0.752)	Data 0.001 (0.001)	Loss 2.4537 (2.8754)	Prec@1 39.062 (32.297)	Prec@5 68.750 (62.216)
Epoch: [4][13540/14090]	Time 0.740 (0.752)	Data 0.001 (0.001)	Loss 2.6943 (2.8754)	Prec@1 32.031 (32.297)	Prec@5 68.750 (62.216)
Epoch: [4][13550/14090]	Time 0.756 (0.752)	Data 0.001 (0.001)	Loss 2.7851 (2.8754)	Prec@1 35.156 (32.297)	Prec@5 64.062 (62.217)
Epoch: [4][13560/14090]	Time 0.733 (0.752)	Data 0.001 (0.001)	Loss 3.1348 (2.8755)	Prec@1 22.656 (32.295)	Prec@5 55.469 (62.217)
Epoch: [4][13570/14090]	Time 0.738 (0.752)	Data 0.001 (0.001)	Loss 2.8647 (2.8756)	Prec@1 30.469 (32.293)	Prec@5 61.719 (62.214)
Epoch: [4][13580/14090]	Time 0.748 (0.752)	Data 0.002 (0.001)	Loss 2.8341 (2.8755)	Prec@1 36.719 (32.294)	Prec@5 62.500 (62.216)
Epoch: [4][13590/14090]	Time 0.743 (0.752)	Data 0.001 (0.001)	Loss 2.7784 (2.8755)	Prec@1 31.250 (32.294)	Prec@5 62.500 (62.215)
Epoch: [4][13600/14090]	Time 0.736 (0.752)	Data 0.001 (0.001)	Loss 3.0520 (2.8755)	Prec@1 34.375 (32.293)	Prec@5 59.375 (62.217)
Epoch: [4][13610/14090]	Time 0.783 (0.752)	Data 0.001 (0.001)	Loss 2.6396 (2.8754)	Prec@1 38.281 (32.294)	Prec@5 69.531 (62.216)
Epoch: [4][13620/14090]	Time 0.748 (0.752)	Data 0.001 (0.001)	Loss 2.8170 (2.8754)	Prec@1 35.156 (32.293)	Prec@5 63.281 (62.217)
Epoch: [4][13630/14090]	Time 0.774 (0.752)	Data 0.001 (0.001)	Loss 2.7921 (2.8754)	Prec@1 32.031 (32.294)	Prec@5 67.188 (62.217)
Epoch: [4][13640/14090]	Time 0.762 (0.752)	Data 0.001 (0.001)	Loss 2.8634 (2.8754)	Prec@1 26.562 (32.293)	Prec@5 60.156 (62.217)
Epoch: [4][13650/14090]	Time 0.757 (0.752)	Data 0.003 (0.001)	Loss 2.7913 (2.8754)	Prec@1 37.500 (32.292)	Prec@5 61.719 (62.218)
Epoch: [4][13660/14090]	Time 0.726 (0.752)	Data 0.001 (0.001)	Loss 2.5846 (2.8754)	Prec@1 35.938 (32.292)	Prec@5 67.188 (62.218)
Epoch: [4][13670/14090]	Time 0.732 (0.752)	Data 0.001 (0.001)	Loss 2.7902 (2.8753)	Prec@1 33.594 (32.293)	Prec@5 62.500 (62.219)
Epoch: [4][13680/14090]	Time 0.754 (0.752)	Data 0.001 (0.001)	Loss 2.7801 (2.8753)	Prec@1 36.719 (32.295)	Prec@5 67.969 (62.221)
Epoch: [4][13690/14090]	Time 0.750 (0.752)	Data 0.001 (0.001)	Loss 3.0138 (2.8753)	Prec@1 26.562 (32.294)	Prec@5 56.250 (62.222)
Epoch: [4][13700/14090]	Time 0.734 (0.752)	Data 0.001 (0.001)	Loss 2.9223 (2.8753)	Prec@1 25.000 (32.294)	Prec@5 64.062 (62.221)
Epoch: [4][13710/14090]	Time 0.750 (0.752)	Data 0.001 (0.001)	Loss 3.0402 (2.8754)	Prec@1 28.906 (32.292)	Prec@5 60.156 (62.219)
Epoch: [4][13720/14090]	Time 0.740 (0.752)	Data 0.002 (0.001)	Loss 2.8970 (2.8753)	Prec@1 31.250 (32.291)	Prec@5 61.719 (62.221)
Epoch: [4][13730/14090]	Time 0.756 (0.752)	Data 0.001 (0.001)	Loss 2.7743 (2.8753)	Prec@1 35.938 (32.291)	Prec@5 63.281 (62.221)
Epoch: [4][13740/14090]	Time 0.738 (0.752)	Data 0.001 (0.001)	Loss 2.7363 (2.8754)	Prec@1 34.375 (32.292)	Prec@5 65.625 (62.220)
Epoch: [4][13750/14090]	Time 0.751 (0.752)	Data 0.001 (0.001)	Loss 2.8088 (2.8754)	Prec@1 30.469 (32.290)	Prec@5 67.188 (62.220)
Epoch: [4][13760/14090]	Time 0.738 (0.752)	Data 0.001 (0.001)	Loss 2.9076 (2.8754)	Prec@1 32.812 (32.289)	Prec@5 60.938 (62.220)
Epoch: [4][13770/14090]	Time 0.746 (0.752)	Data 0.001 (0.001)	Loss 2.8307 (2.8754)	Prec@1 28.125 (32.289)	Prec@5 56.250 (62.220)
Epoch: [4][13780/14090]	Time 0.741 (0.752)	Data 0.001 (0.001)	Loss 2.9530 (2.8754)	Prec@1 33.594 (32.290)	Prec@5 62.500 (62.222)
Epoch: [4][13790/14090]	Time 0.755 (0.752)	Data 0.002 (0.001)	Loss 3.0786 (2.8754)	Prec@1 26.562 (32.289)	Prec@5 55.469 (62.222)
Epoch: [4][13800/14090]	Time 0.756 (0.752)	Data 0.001 (0.001)	Loss 2.5593 (2.8754)	Prec@1 35.938 (32.288)	Prec@5 71.094 (62.223)
Epoch: [4][13810/14090]	Time 0.732 (0.752)	Data 0.001 (0.001)	Loss 2.8881 (2.8754)	Prec@1 32.031 (32.288)	Prec@5 60.938 (62.223)
Epoch: [4][13820/14090]	Time 0.740 (0.752)	Data 0.001 (0.001)	Loss 2.7797 (2.8753)	Prec@1 32.812 (32.288)	Prec@5 62.500 (62.223)
Epoch: [4][13830/14090]	Time 0.766 (0.752)	Data 0.001 (0.001)	Loss 3.0820 (2.8754)	Prec@1 28.125 (32.287)	Prec@5 60.156 (62.224)
Epoch: [4][13840/14090]	Time 0.754 (0.752)	Data 0.001 (0.001)	Loss 3.2751 (2.8753)	Prec@1 30.469 (32.288)	Prec@5 56.250 (62.223)
Epoch: [4][13850/14090]	Time 0.737 (0.752)	Data 0.001 (0.001)	Loss 2.9951 (2.8753)	Prec@1 25.000 (32.287)	Prec@5 60.938 (62.223)
Epoch: [4][13860/14090]	Time 0.736 (0.752)	Data 0.002 (0.001)	Loss 3.1107 (2.8753)	Prec@1 35.938 (32.287)	Prec@5 59.375 (62.223)
Epoch: [4][13870/14090]	Time 0.755 (0.752)	Data 0.001 (0.001)	Loss 2.8856 (2.8754)	Prec@1 35.938 (32.287)	Prec@5 61.719 (62.223)
Epoch: [4][13880/14090]	Time 0.759 (0.752)	Data 0.001 (0.001)	Loss 2.7731 (2.8754)	Prec@1 34.375 (32.286)	Prec@5 67.969 (62.222)
Epoch: [4][13890/14090]	Time 0.749 (0.752)	Data 0.001 (0.001)	Loss 2.9525 (2.8754)	Prec@1 27.344 (32.287)	Prec@5 60.938 (62.223)
Epoch: [4][13900/14090]	Time 0.754 (0.752)	Data 0.001 (0.001)	Loss 2.9034 (2.8754)	Prec@1 25.781 (32.286)	Prec@5 64.062 (62.223)
Epoch: [4][13910/14090]	Time 0.725 (0.752)	Data 0.001 (0.001)	Loss 2.9334 (2.8754)	Prec@1 25.000 (32.285)	Prec@5 62.500 (62.223)
Epoch: [4][13920/14090]	Time 0.779 (0.752)	Data 0.001 (0.001)	Loss 2.7826 (2.8754)	Prec@1 32.812 (32.285)	Prec@5 61.719 (62.223)
Epoch: [4][13930/14090]	Time 0.748 (0.752)	Data 0.002 (0.001)	Loss 3.1159 (2.8753)	Prec@1 22.656 (32.286)	Prec@5 60.156 (62.224)
Epoch: [4][13940/14090]	Time 0.754 (0.752)	Data 0.001 (0.001)	Loss 2.9515 (2.8753)	Prec@1 23.438 (32.286)	Prec@5 62.500 (62.224)
Epoch: [4][13950/14090]	Time 0.741 (0.752)	Data 0.001 (0.001)	Loss 2.7536 (2.8754)	Prec@1 35.938 (32.285)	Prec@5 57.031 (62.222)
Epoch: [4][13960/14090]	Time 0.766 (0.752)	Data 0.001 (0.001)	Loss 3.0385 (2.8753)	Prec@1 32.031 (32.286)	Prec@5 58.594 (62.222)
Epoch: [4][13970/14090]	Time 0.750 (0.752)	Data 0.001 (0.001)	Loss 3.2601 (2.8754)	Prec@1 25.000 (32.285)	Prec@5 57.031 (62.220)
Epoch: [4][13980/14090]	Time 0.727 (0.752)	Data 0.001 (0.001)	Loss 2.9767 (2.8754)	Prec@1 30.469 (32.286)	Prec@5 64.062 (62.221)
Epoch: [4][13990/14090]	Time 0.745 (0.752)	Data 0.001 (0.001)	Loss 2.8394 (2.8753)	Prec@1 34.375 (32.287)	Prec@5 61.719 (62.222)
Epoch: [4][14000/14090]	Time 0.761 (0.752)	Data 0.002 (0.001)	Loss 2.9157 (2.8753)	Prec@1 30.469 (32.287)	Prec@5 60.156 (62.222)
Epoch: [4][14010/14090]	Time 0.756 (0.752)	Data 0.001 (0.001)	Loss 2.9366 (2.8753)	Prec@1 32.812 (32.287)	Prec@5 59.375 (62.222)
Epoch: [4][14020/14090]	Time 0.732 (0.752)	Data 0.001 (0.001)	Loss 2.9570 (2.8752)	Prec@1 29.688 (32.290)	Prec@5 64.844 (62.222)
Epoch: [4][14030/14090]	Time 0.791 (0.752)	Data 0.001 (0.001)	Loss 3.1532 (2.8752)	Prec@1 29.688 (32.290)	Prec@5 62.500 (62.222)
Epoch: [4][14040/14090]	Time 0.749 (0.752)	Data 0.001 (0.001)	Loss 2.9200 (2.8752)	Prec@1 28.906 (32.289)	Prec@5 64.844 (62.222)
Epoch: [4][14050/14090]	Time 0.751 (0.752)	Data 0.001 (0.001)	Loss 2.7100 (2.8751)	Prec@1 34.375 (32.291)	Prec@5 64.062 (62.223)
Epoch: [4][14060/14090]	Time 0.755 (0.752)	Data 0.001 (0.001)	Loss 3.1715 (2.8752)	Prec@1 26.562 (32.290)	Prec@5 57.812 (62.223)
Epoch: [4][14070/14090]	Time 0.742 (0.752)	Data 0.003 (0.001)	Loss 2.7380 (2.8752)	Prec@1 41.406 (32.290)	Prec@5 61.719 (62.223)
Epoch: [4][14080/14090]	Time 0.751 (0.752)	Data 0.000 (0.001)	Loss 2.9008 (2.8752)	Prec@1 31.250 (32.291)	Prec@5 62.500 (62.223)
Test: [0/286]	Time 2.643 (2.643)	Loss 2.0322 (2.0322)	Prec@1 34.375 (34.375)	Prec@5 89.844 (89.844)
Test: [10/286]	Time 0.225 (0.481)	Loss 2.3966 (2.6091)	Prec@1 36.719 (33.807)	Prec@5 77.344 (70.952)
Test: [20/286]	Time 0.244 (0.371)	Loss 2.7385 (2.6040)	Prec@1 34.375 (34.449)	Prec@5 72.656 (70.461)
Test: [30/286]	Time 0.238 (0.332)	Loss 2.2810 (2.5010)	Prec@1 47.656 (38.206)	Prec@5 71.875 (71.245)
Test: [40/286]	Time 0.236 (0.312)	Loss 1.9073 (2.4877)	Prec@1 35.156 (37.348)	Prec@5 86.719 (71.532)
Test: [50/286]	Time 0.326 (0.302)	Loss 1.6084 (2.5222)	Prec@1 65.625 (36.550)	Prec@5 82.031 (70.741)
Test: [60/286]	Time 0.242 (0.294)	Loss 3.8090 (2.5592)	Prec@1 16.406 (36.565)	Prec@5 46.094 (69.442)
Test: [70/286]	Time 0.274 (0.290)	Loss 1.6974 (2.5424)	Prec@1 58.594 (36.950)	Prec@5 84.375 (69.454)
Test: [80/286]	Time 0.243 (0.286)	Loss 3.5256 (2.5876)	Prec@1 15.625 (35.976)	Prec@5 44.531 (68.519)
Test: [90/286]	Time 0.235 (0.283)	Loss 2.8108 (2.5926)	Prec@1 29.688 (35.834)	Prec@5 71.094 (68.613)
Test: [100/286]	Time 0.344 (0.282)	Loss 3.3287 (2.5804)	Prec@1 17.969 (35.752)	Prec@5 58.594 (69.114)
Test: [110/286]	Time 0.246 (0.280)	Loss 2.6850 (2.5765)	Prec@1 32.812 (35.769)	Prec@5 67.969 (69.369)
Test: [120/286]	Time 0.268 (0.278)	Loss 2.8458 (2.5730)	Prec@1 29.688 (35.886)	Prec@5 62.500 (69.454)
Test: [130/286]	Time 0.270 (0.277)	Loss 1.0485 (2.5585)	Prec@1 71.094 (36.122)	Prec@5 94.531 (69.716)
Test: [140/286]	Time 0.246 (0.275)	Loss 2.8615 (2.5376)	Prec@1 28.906 (36.697)	Prec@5 67.188 (70.174)
Test: [150/286]	Time 0.326 (0.275)	Loss 3.3219 (2.5563)	Prec@1 17.969 (36.124)	Prec@5 56.250 (69.945)
Test: [160/286]	Time 0.242 (0.274)	Loss 2.9350 (2.5530)	Prec@1 23.438 (36.146)	Prec@5 63.281 (70.084)
Test: [170/286]	Time 0.251 (0.274)	Loss 2.3118 (2.5455)	Prec@1 47.656 (36.417)	Prec@5 71.094 (70.116)
Test: [180/286]	Time 0.247 (0.273)	Loss 2.9129 (2.5516)	Prec@1 35.938 (36.313)	Prec@5 65.625 (70.023)
Test: [190/286]	Time 0.237 (0.272)	Loss 3.8761 (2.5775)	Prec@1 3.125 (35.901)	Prec@5 47.656 (69.552)
Test: [200/286]	Time 0.317 (0.272)	Loss 3.0113 (2.5800)	Prec@1 33.594 (35.969)	Prec@5 63.281 (69.527)
Test: [210/286]	Time 0.238 (0.271)	Loss 2.9463 (2.5986)	Prec@1 24.219 (35.560)	Prec@5 67.188 (69.139)
Test: [220/286]	Time 0.272 (0.271)	Loss 4.0037 (2.6045)	Prec@1 10.938 (35.616)	Prec@5 40.625 (69.029)
Test: [230/286]	Time 0.245 (0.270)	Loss 1.9484 (2.6081)	Prec@1 52.344 (35.603)	Prec@5 77.344 (68.902)
Test: [240/286]	Time 0.266 (0.269)	Loss 2.0364 (2.6063)	Prec@1 49.219 (35.720)	Prec@5 77.344 (68.954)
Test: [250/286]	Time 0.312 (0.269)	Loss 2.2146 (2.5858)	Prec@1 38.281 (36.162)	Prec@5 76.562 (69.397)
Test: [260/286]	Time 0.259 (0.268)	Loss 1.5840 (2.5730)	Prec@1 64.062 (36.494)	Prec@5 87.500 (69.618)
Test: [270/286]	Time 0.253 (0.268)	Loss 1.6951 (2.5575)	Prec@1 56.250 (36.811)	Prec@5 84.375 (69.863)
Test: [280/286]	Time 0.240 (0.267)	Loss 2.4792 (2.5354)	Prec@1 34.375 (37.350)	Prec@5 74.219 (70.196)
 * Prec@1 37.592 Prec@5 70.284
Epoch: [5][0/14090]	Time 4.127 (4.127)	Data 3.342 (3.342)	Loss 2.7987 (2.7987)	Prec@1 34.375 (34.375)	Prec@5 65.625 (65.625)
Epoch: [5][10/14090]	Time 0.721 (1.042)	Data 0.001 (0.305)	Loss 2.9846 (2.9296)	Prec@1 25.781 (31.250)	Prec@5 58.594 (62.003)
Epoch: [5][20/14090]	Time 0.727 (0.903)	Data 0.001 (0.160)	Loss 2.8975 (2.8729)	Prec@1 28.906 (31.734)	Prec@5 63.281 (63.356)
Epoch: [5][30/14090]	Time 0.777 (0.852)	Data 0.001 (0.109)	Loss 2.9737 (2.8614)	Prec@1 32.031 (32.334)	Prec@5 64.062 (63.508)
Epoch: [5][40/14090]	Time 0.737 (0.826)	Data 0.002 (0.082)	Loss 3.0904 (2.8663)	Prec@1 23.438 (32.165)	Prec@5 63.281 (63.167)
Epoch: [5][50/14090]	Time 0.770 (0.811)	Data 0.001 (0.066)	Loss 2.6021 (2.8551)	Prec@1 40.625 (32.659)	Prec@5 73.438 (63.465)
Epoch: [5][60/14090]	Time 0.756 (0.801)	Data 0.001 (0.056)	Loss 2.8916 (2.8519)	Prec@1 32.812 (32.710)	Prec@5 60.156 (63.358)
Epoch: [5][70/14090]	Time 0.733 (0.794)	Data 0.001 (0.048)	Loss 2.9559 (2.8561)	Prec@1 31.250 (32.515)	Prec@5 61.719 (63.116)
Epoch: [5][80/14090]	Time 0.778 (0.788)	Data 0.001 (0.042)	Loss 2.5655 (2.8603)	Prec@1 37.500 (32.485)	Prec@5 64.844 (63.030)
Epoch: [5][90/14090]	Time 0.759 (0.785)	Data 0.001 (0.038)	Loss 2.7890 (2.8572)	Prec@1 37.500 (32.546)	Prec@5 69.531 (63.118)
Epoch: [5][100/14090]	Time 0.729 (0.781)	Data 0.001 (0.034)	Loss 3.0370 (2.8603)	Prec@1 26.562 (32.673)	Prec@5 57.812 (62.925)
Epoch: [5][110/14090]	Time 0.759 (0.778)	Data 0.002 (0.031)	Loss 2.9143 (2.8653)	Prec@1 31.250 (32.503)	Prec@5 63.281 (62.732)
Epoch: [5][120/14090]	Time 0.751 (0.776)	Data 0.001 (0.029)	Loss 2.6979 (2.8606)	Prec@1 29.688 (32.574)	Prec@5 65.625 (62.849)
Epoch: [5][130/14090]	Time 0.735 (0.774)	Data 0.001 (0.026)	Loss 3.0365 (2.8573)	Prec@1 31.250 (32.628)	Prec@5 60.938 (63.013)
Epoch: [5][140/14090]	Time 0.750 (0.773)	Data 0.001 (0.025)	Loss 2.6808 (2.8564)	Prec@1 33.594 (32.596)	Prec@5 63.281 (63.071)
Epoch: [5][150/14090]	Time 0.763 (0.772)	Data 0.001 (0.023)	Loss 3.2018 (2.8639)	Prec@1 24.219 (32.414)	Prec@5 57.031 (62.852)
Epoch: [5][160/14090]	Time 0.749 (0.770)	Data 0.001 (0.022)	Loss 2.5690 (2.8654)	Prec@1 34.375 (32.342)	Prec@5 68.750 (62.845)
Epoch: [5][170/14090]	Time 0.741 (0.770)	Data 0.001 (0.020)	Loss 3.2410 (2.8647)	Prec@1 23.438 (32.401)	Prec@5 50.781 (62.779)
Epoch: [5][180/14090]	Time 0.731 (0.768)	Data 0.002 (0.019)	Loss 2.8844 (2.8619)	Prec@1 28.125 (32.368)	Prec@5 61.719 (62.824)
Epoch: [5][190/14090]	Time 0.788 (0.768)	Data 0.001 (0.018)	Loss 2.8624 (2.8592)	Prec@1 32.812 (32.408)	Prec@5 60.938 (62.872)
Epoch: [5][200/14090]	Time 0.735 (0.767)	Data 0.001 (0.018)	Loss 2.8757 (2.8601)	Prec@1 35.938 (32.338)	Prec@5 59.375 (62.757)
Epoch: [5][210/14090]	Time 0.743 (0.766)	Data 0.001 (0.017)	Loss 2.6761 (2.8602)	Prec@1 32.031 (32.350)	Prec@5 64.844 (62.733)
Epoch: [5][220/14090]	Time 0.728 (0.765)	Data 0.001 (0.016)	Loss 2.6541 (2.8605)	Prec@1 32.812 (32.321)	Prec@5 66.406 (62.712)
Epoch: [5][230/14090]	Time 0.728 (0.765)	Data 0.001 (0.015)	Loss 2.8471 (2.8591)	Prec@1 32.812 (32.336)	Prec@5 62.500 (62.740)
Epoch: [5][240/14090]	Time 0.736 (0.764)	Data 0.001 (0.015)	Loss 2.8525 (2.8569)	Prec@1 28.125 (32.381)	Prec@5 63.281 (62.782)
Epoch: [5][250/14090]	Time 0.759 (0.764)	Data 0.002 (0.014)	Loss 2.7812 (2.8560)	Prec@1 27.344 (32.427)	Prec@5 66.406 (62.793)
Epoch: [5][260/14090]	Time 0.744 (0.763)	Data 0.001 (0.014)	Loss 2.8041 (2.8558)	Prec@1 35.156 (32.462)	Prec@5 64.062 (62.832)
Epoch: [5][270/14090]	Time 0.724 (0.763)	Data 0.001 (0.013)	Loss 2.7575 (2.8549)	Prec@1 39.062 (32.498)	Prec@5 65.625 (62.843)
Epoch: [5][280/14090]	Time 0.729 (0.762)	Data 0.001 (0.013)	Loss 2.8926 (2.8544)	Prec@1 32.812 (32.521)	Prec@5 54.688 (62.820)
Epoch: [5][290/14090]	Time 0.755 (0.762)	Data 0.001 (0.012)	Loss 2.7426 (2.8548)	Prec@1 33.594 (32.482)	Prec@5 67.188 (62.817)
Epoch: [5][300/14090]	Time 0.733 (0.761)	Data 0.001 (0.012)	Loss 2.8660 (2.8541)	Prec@1 34.375 (32.483)	Prec@5 67.188 (62.863)
Epoch: [5][310/14090]	Time 0.781 (0.761)	Data 0.001 (0.012)	Loss 2.7397 (2.8563)	Prec@1 34.375 (32.463)	Prec@5 65.625 (62.814)
Epoch: [5][320/14090]	Time 0.733 (0.761)	Data 0.002 (0.011)	Loss 2.7674 (2.8537)	Prec@1 31.250 (32.552)	Prec@5 66.406 (62.892)
Epoch: [5][330/14090]	Time 0.738 (0.761)	Data 0.001 (0.011)	Loss 2.7321 (2.8532)	Prec@1 37.500 (32.562)	Prec@5 64.844 (62.906)
Epoch: [5][340/14090]	Time 0.739 (0.760)	Data 0.001 (0.011)	Loss 2.9996 (2.8557)	Prec@1 32.031 (32.489)	Prec@5 61.719 (62.860)
Epoch: [5][350/14090]	Time 0.742 (0.760)	Data 0.001 (0.010)	Loss 3.1109 (2.8542)	Prec@1 31.250 (32.508)	Prec@5 58.594 (62.885)
Epoch: [5][360/14090]	Time 0.749 (0.760)	Data 0.001 (0.010)	Loss 2.9541 (2.8552)	Prec@1 28.125 (32.477)	Prec@5 60.938 (62.885)
Epoch: [5][370/14090]	Time 0.776 (0.760)	Data 0.001 (0.010)	Loss 2.9194 (2.8571)	Prec@1 29.688 (32.448)	Prec@5 62.500 (62.839)
Epoch: [5][380/14090]	Time 0.775 (0.759)	Data 0.001 (0.010)	Loss 3.0359 (2.8595)	Prec@1 36.719 (32.423)	Prec@5 63.281 (62.822)
Epoch: [5][390/14090]	Time 0.775 (0.759)	Data 0.002 (0.009)	Loss 2.7804 (2.8618)	Prec@1 30.469 (32.385)	Prec@5 62.500 (62.770)
Epoch: [5][400/14090]	Time 0.781 (0.759)	Data 0.001 (0.009)	Loss 2.9768 (2.8622)	Prec@1 28.906 (32.423)	Prec@5 60.938 (62.769)
Epoch: [5][410/14090]	Time 0.744 (0.759)	Data 0.001 (0.009)	Loss 2.7859 (2.8620)	Prec@1 34.375 (32.472)	Prec@5 67.188 (62.779)
Epoch: [5][420/14090]	Time 0.780 (0.759)	Data 0.001 (0.009)	Loss 2.9792 (2.8611)	Prec@1 31.250 (32.506)	Prec@5 59.375 (62.793)
Epoch: [5][430/14090]	Time 0.731 (0.759)	Data 0.001 (0.009)	Loss 2.6874 (2.8598)	Prec@1 38.281 (32.528)	Prec@5 65.625 (62.792)
Epoch: [5][440/14090]	Time 0.779 (0.758)	Data 0.001 (0.009)	Loss 2.8866 (2.8594)	Prec@1 34.375 (32.550)	Prec@5 63.281 (62.815)
Epoch: [5][450/14090]	Time 0.754 (0.758)	Data 0.001 (0.008)	Loss 2.8746 (2.8595)	Prec@1 28.125 (32.547)	Prec@5 63.281 (62.836)
Epoch: [5][460/14090]	Time 0.731 (0.758)	Data 0.002 (0.008)	Loss 2.9246 (2.8593)	Prec@1 31.250 (32.548)	Prec@5 60.156 (62.810)
Epoch: [5][470/14090]	Time 0.747 (0.758)	Data 0.001 (0.008)	Loss 3.0478 (2.8595)	Prec@1 28.125 (32.511)	Prec@5 62.500 (62.794)
Epoch: [5][480/14090]	Time 0.786 (0.758)	Data 0.001 (0.008)	Loss 2.8525 (2.8583)	Prec@1 30.469 (32.519)	Prec@5 61.719 (62.825)
Epoch: [5][490/14090]	Time 0.744 (0.758)	Data 0.001 (0.008)	Loss 3.0163 (2.8595)	Prec@1 26.562 (32.464)	Prec@5 55.469 (62.777)
Epoch: [5][500/14090]	Time 0.734 (0.758)	Data 0.001 (0.008)	Loss 2.7781 (2.8576)	Prec@1 36.719 (32.479)	Prec@5 64.844 (62.804)
Epoch: [5][510/14090]	Time 0.760 (0.758)	Data 0.001 (0.007)	Loss 2.8707 (2.8574)	Prec@1 29.688 (32.485)	Prec@5 60.938 (62.810)
Epoch: [5][520/14090]	Time 0.726 (0.757)	Data 0.001 (0.007)	Loss 2.8755 (2.8585)	Prec@1 37.500 (32.483)	Prec@5 64.062 (62.824)
Epoch: [5][530/14090]	Time 0.772 (0.757)	Data 0.002 (0.007)	Loss 2.9525 (2.8573)	Prec@1 32.812 (32.498)	Prec@5 57.812 (62.838)
Epoch: [5][540/14090]	Time 0.730 (0.757)	Data 0.001 (0.007)	Loss 2.9627 (2.8564)	Prec@1 31.250 (32.528)	Prec@5 64.062 (62.855)
Epoch: [5][550/14090]	Time 0.721 (0.757)	Data 0.001 (0.007)	Loss 2.7823 (2.8567)	Prec@1 36.719 (32.547)	Prec@5 64.062 (62.857)
Epoch: [5][560/14090]	Time 0.762 (0.757)	Data 0.001 (0.007)	Loss 2.8618 (2.8576)	Prec@1 28.906 (32.542)	Prec@5 59.375 (62.841)
Epoch: [5][570/14090]	Time 0.750 (0.757)	Data 0.001 (0.007)	Loss 2.8540 (2.8573)	Prec@1 28.125 (32.547)	Prec@5 60.156 (62.848)
Epoch: [5][580/14090]	Time 0.750 (0.756)	Data 0.001 (0.007)	Loss 2.5296 (2.8572)	Prec@1 34.375 (32.556)	Prec@5 68.750 (62.859)
Epoch: [5][590/14090]	Time 0.753 (0.756)	Data 0.001 (0.007)	Loss 3.0086 (2.8578)	Prec@1 28.125 (32.551)	Prec@5 57.812 (62.853)
Epoch: [5][600/14090]	Time 0.764 (0.756)	Data 0.002 (0.007)	Loss 2.7194 (2.8562)	Prec@1 35.156 (32.589)	Prec@5 66.406 (62.887)
Epoch: [5][610/14090]	Time 0.776 (0.756)	Data 0.001 (0.006)	Loss 2.8615 (2.8540)	Prec@1 38.281 (32.626)	Prec@5 62.500 (62.945)
Epoch: [5][620/14090]	Time 0.753 (0.756)	Data 0.001 (0.006)	Loss 2.6313 (2.8539)	Prec@1 38.281 (32.638)	Prec@5 69.531 (62.940)
Epoch: [5][630/14090]	Time 0.732 (0.756)	Data 0.001 (0.006)	Loss 2.9460 (2.8544)	Prec@1 32.812 (32.670)	Prec@5 64.844 (62.930)
Epoch: [5][640/14090]	Time 0.744 (0.756)	Data 0.001 (0.006)	Loss 2.6701 (2.8553)	Prec@1 35.156 (32.652)	Prec@5 67.969 (62.924)
Epoch: [5][650/14090]	Time 0.738 (0.756)	Data 0.001 (0.006)	Loss 2.8888 (2.8560)	Prec@1 27.344 (32.638)	Prec@5 59.375 (62.908)
Epoch: [5][660/14090]	Time 0.740 (0.756)	Data 0.001 (0.006)	Loss 2.8148 (2.8573)	Prec@1 31.250 (32.619)	Prec@5 65.625 (62.876)
Epoch: [5][670/14090]	Time 0.781 (0.756)	Data 0.002 (0.006)	Loss 2.8536 (2.8580)	Prec@1 32.031 (32.598)	Prec@5 62.500 (62.871)
Epoch: [5][680/14090]	Time 0.752 (0.756)	Data 0.001 (0.006)	Loss 2.9744 (2.8586)	Prec@1 34.375 (32.588)	Prec@5 61.719 (62.853)
Epoch: [5][690/14090]	Time 0.735 (0.756)	Data 0.001 (0.006)	Loss 2.8113 (2.8579)	Prec@1 34.375 (32.572)	Prec@5 60.938 (62.876)
Epoch: [5][700/14090]	Time 0.749 (0.756)	Data 0.001 (0.006)	Loss 2.5912 (2.8583)	Prec@1 37.500 (32.560)	Prec@5 69.531 (62.880)
Epoch: [5][710/14090]	Time 0.765 (0.755)	Data 0.001 (0.006)	Loss 2.8484 (2.8567)	Prec@1 31.250 (32.581)	Prec@5 61.719 (62.902)
Epoch: [5][720/14090]	Time 0.749 (0.755)	Data 0.001 (0.006)	Loss 2.6499 (2.8565)	Prec@1 35.156 (32.577)	Prec@5 62.500 (62.897)
Epoch: [5][730/14090]	Time 0.773 (0.755)	Data 0.001 (0.006)	Loss 2.3805 (2.8535)	Prec@1 42.969 (32.623)	Prec@5 74.219 (62.968)
Epoch: [5][740/14090]	Time 0.757 (0.755)	Data 0.002 (0.005)	Loss 2.9859 (2.8536)	Prec@1 31.250 (32.619)	Prec@5 55.469 (62.942)
Epoch: [5][750/14090]	Time 0.728 (0.755)	Data 0.001 (0.005)	Loss 2.9858 (2.8532)	Prec@1 32.812 (32.635)	Prec@5 60.938 (62.944)
Epoch: [5][760/14090]	Time 0.750 (0.755)	Data 0.001 (0.005)	Loss 2.6357 (2.8533)	Prec@1 35.156 (32.652)	Prec@5 67.188 (62.952)
Epoch: [5][770/14090]	Time 0.742 (0.755)	Data 0.001 (0.005)	Loss 2.9920 (2.8533)	Prec@1 33.594 (32.649)	Prec@5 61.719 (62.953)
Epoch: [5][780/14090]	Time 0.735 (0.755)	Data 0.001 (0.005)	Loss 2.8193 (2.8525)	Prec@1 34.375 (32.675)	Prec@5 67.188 (62.960)
Epoch: [5][790/14090]	Time 0.774 (0.755)	Data 0.001 (0.005)	Loss 3.0934 (2.8521)	Prec@1 28.906 (32.682)	Prec@5 57.812 (62.959)
Epoch: [5][800/14090]	Time 0.787 (0.755)	Data 0.001 (0.005)	Loss 2.8726 (2.8514)	Prec@1 33.594 (32.703)	Prec@5 62.500 (62.974)
Epoch: [5][810/14090]	Time 0.745 (0.755)	Data 0.002 (0.005)	Loss 2.6593 (2.8509)	Prec@1 35.938 (32.707)	Prec@5 67.969 (62.985)
Epoch: [5][820/14090]	Time 0.759 (0.755)	Data 0.001 (0.005)	Loss 2.7900 (2.8512)	Prec@1 29.688 (32.687)	Prec@5 63.281 (62.977)
Epoch: [5][830/14090]	Time 0.734 (0.755)	Data 0.001 (0.005)	Loss 2.6393 (2.8500)	Prec@1 34.375 (32.697)	Prec@5 67.969 (62.995)
Epoch: [5][840/14090]	Time 0.758 (0.755)	Data 0.001 (0.005)	Loss 3.1091 (2.8505)	Prec@1 28.906 (32.691)	Prec@5 53.906 (62.977)
Epoch: [5][850/14090]	Time 0.745 (0.755)	Data 0.001 (0.005)	Loss 3.3183 (2.8506)	Prec@1 25.000 (32.722)	Prec@5 54.688 (62.954)
Epoch: [5][860/14090]	Time 0.758 (0.755)	Data 0.001 (0.005)	Loss 2.7995 (2.8507)	Prec@1 32.031 (32.722)	Prec@5 69.531 (62.959)
Epoch: [5][870/14090]	Time 0.776 (0.755)	Data 0.001 (0.005)	Loss 2.7102 (2.8508)	Prec@1 34.375 (32.731)	Prec@5 63.281 (62.953)
Epoch: [5][880/14090]	Time 0.734 (0.755)	Data 0.002 (0.005)	Loss 2.9108 (2.8506)	Prec@1 31.250 (32.722)	Prec@5 61.719 (62.950)
Epoch: [5][890/14090]	Time 0.740 (0.755)	Data 0.001 (0.005)	Loss 3.1115 (2.8505)	Prec@1 21.094 (32.711)	Prec@5 53.125 (62.947)
Epoch: [5][900/14090]	Time 0.762 (0.755)	Data 0.001 (0.005)	Loss 3.0011 (2.8512)	Prec@1 31.250 (32.706)	Prec@5 64.844 (62.942)
Epoch: [5][910/14090]	Time 0.755 (0.755)	Data 0.001 (0.005)	Loss 2.6719 (2.8515)	Prec@1 29.688 (32.688)	Prec@5 67.188 (62.926)
Epoch: [5][920/14090]	Time 0.775 (0.754)	Data 0.001 (0.005)	Loss 2.8171 (2.8507)	Prec@1 29.688 (32.692)	Prec@5 63.281 (62.934)
Epoch: [5][930/14090]	Time 0.725 (0.754)	Data 0.001 (0.005)	Loss 2.8428 (2.8505)	Prec@1 33.594 (32.685)	Prec@5 60.938 (62.949)
Epoch: [5][940/14090]	Time 0.729 (0.754)	Data 0.001 (0.005)	Loss 3.1593 (2.8511)	Prec@1 23.438 (32.680)	Prec@5 58.594 (62.933)
Epoch: [5][950/14090]	Time 0.755 (0.754)	Data 0.002 (0.004)	Loss 2.7217 (2.8502)	Prec@1 34.375 (32.697)	Prec@5 63.281 (62.940)
Epoch: [5][960/14090]	Time 0.727 (0.754)	Data 0.001 (0.004)	Loss 2.8975 (2.8499)	Prec@1 28.906 (32.696)	Prec@5 60.156 (62.953)
Epoch: [5][970/14090]	Time 0.767 (0.754)	Data 0.001 (0.004)	Loss 3.0956 (2.8505)	Prec@1 26.562 (32.691)	Prec@5 60.938 (62.936)
Epoch: [5][980/14090]	Time 0.728 (0.754)	Data 0.001 (0.004)	Loss 2.9006 (2.8502)	Prec@1 34.375 (32.699)	Prec@5 60.156 (62.928)
Epoch: [5][990/14090]	Time 0.780 (0.754)	Data 0.001 (0.004)	Loss 3.1034 (2.8512)	Prec@1 28.125 (32.678)	Prec@5 53.125 (62.911)
Epoch: [5][1000/14090]	Time 0.737 (0.754)	Data 0.001 (0.004)	Loss 2.7593 (2.8515)	Prec@1 35.938 (32.668)	Prec@5 65.625 (62.904)
Epoch: [5][1010/14090]	Time 0.763 (0.754)	Data 0.001 (0.004)	Loss 2.7575 (2.8512)	Prec@1 38.281 (32.681)	Prec@5 66.406 (62.906)
Epoch: [5][1020/14090]	Time 0.740 (0.754)	Data 0.002 (0.004)	Loss 2.9751 (2.8507)	Prec@1 28.906 (32.696)	Prec@5 60.156 (62.912)
Epoch: [5][1030/14090]	Time 0.780 (0.754)	Data 0.001 (0.004)	Loss 3.0697 (2.8517)	Prec@1 27.344 (32.672)	Prec@5 57.812 (62.886)
Epoch: [5][1040/14090]	Time 0.728 (0.754)	Data 0.001 (0.004)	Loss 3.0173 (2.8524)	Prec@1 27.344 (32.657)	Prec@5 59.375 (62.865)
Epoch: [5][1050/14090]	Time 0.756 (0.754)	Data 0.001 (0.004)	Loss 2.7028 (2.8523)	Prec@1 29.688 (32.638)	Prec@5 65.625 (62.849)
Epoch: [5][1060/14090]	Time 0.741 (0.754)	Data 0.001 (0.004)	Loss 2.8020 (2.8529)	Prec@1 38.281 (32.620)	Prec@5 71.094 (62.847)
Epoch: [5][1070/14090]	Time 0.750 (0.754)	Data 0.001 (0.004)	Loss 2.6521 (2.8528)	Prec@1 36.719 (32.619)	Prec@5 66.406 (62.856)
Epoch: [5][1080/14090]	Time 0.730 (0.754)	Data 0.001 (0.004)	Loss 2.7419 (2.8524)	Prec@1 35.938 (32.617)	Prec@5 64.844 (62.856)
Epoch: [5][1090/14090]	Time 0.767 (0.754)	Data 0.002 (0.004)	Loss 3.1451 (2.8524)	Prec@1 25.781 (32.619)	Prec@5 56.250 (62.850)
Epoch: [5][1100/14090]	Time 0.737 (0.754)	Data 0.001 (0.004)	Loss 2.7626 (2.8524)	Prec@1 35.156 (32.620)	Prec@5 69.531 (62.865)
Epoch: [5][1110/14090]	Time 0.723 (0.754)	Data 0.001 (0.004)	Loss 2.5889 (2.8519)	Prec@1 39.844 (32.630)	Prec@5 66.406 (62.862)
Epoch: [5][1120/14090]	Time 0.763 (0.754)	Data 0.001 (0.004)	Loss 2.7551 (2.8520)	Prec@1 34.375 (32.617)	Prec@5 64.062 (62.851)
Epoch: [5][1130/14090]	Time 0.746 (0.754)	Data 0.001 (0.004)	Loss 2.8544 (2.8524)	Prec@1 32.031 (32.614)	Prec@5 64.062 (62.841)
Epoch: [5][1140/14090]	Time 0.728 (0.754)	Data 0.001 (0.004)	Loss 2.8737 (2.8531)	Prec@1 36.719 (32.598)	Prec@5 61.719 (62.835)
Epoch: [5][1150/14090]	Time 0.744 (0.754)	Data 0.001 (0.004)	Loss 2.6906 (2.8527)	Prec@1 40.625 (32.613)	Prec@5 67.969 (62.833)
Epoch: [5][1160/14090]	Time 0.749 (0.754)	Data 0.002 (0.004)	Loss 2.8792 (2.8530)	Prec@1 32.031 (32.616)	Prec@5 66.406 (62.830)
Epoch: [5][1170/14090]	Time 0.766 (0.754)	Data 0.001 (0.004)	Loss 2.6376 (2.8532)	Prec@1 35.938 (32.603)	Prec@5 68.750 (62.827)
Epoch: [5][1180/14090]	Time 0.751 (0.754)	Data 0.001 (0.004)	Loss 2.9284 (2.8535)	Prec@1 28.906 (32.602)	Prec@5 61.719 (62.833)
Epoch: [5][1190/14090]	Time 0.756 (0.754)	Data 0.001 (0.004)	Loss 2.6813 (2.8537)	Prec@1 33.594 (32.590)	Prec@5 63.281 (62.837)
Epoch: [5][1200/14090]	Time 0.740 (0.754)	Data 0.001 (0.004)	Loss 3.1563 (2.8540)	Prec@1 25.781 (32.582)	Prec@5 57.031 (62.829)
Epoch: [5][1210/14090]	Time 0.727 (0.754)	Data 0.001 (0.004)	Loss 2.7514 (2.8540)	Prec@1 37.500 (32.587)	Prec@5 65.625 (62.826)
Epoch: [5][1220/14090]	Time 0.754 (0.754)	Data 0.001 (0.004)	Loss 3.0921 (2.8541)	Prec@1 28.906 (32.585)	Prec@5 61.719 (62.825)
Epoch: [5][1230/14090]	Time 0.751 (0.754)	Data 0.002 (0.004)	Loss 2.7369 (2.8533)	Prec@1 34.375 (32.602)	Prec@5 64.062 (62.842)
Epoch: [5][1240/14090]	Time 0.774 (0.754)	Data 0.001 (0.004)	Loss 2.7945 (2.8537)	Prec@1 27.344 (32.586)	Prec@5 63.281 (62.837)
Epoch: [5][1250/14090]	Time 0.766 (0.754)	Data 0.001 (0.004)	Loss 3.0493 (2.8529)	Prec@1 29.688 (32.598)	Prec@5 59.375 (62.850)
Epoch: [5][1260/14090]	Time 0.723 (0.753)	Data 0.003 (0.004)	Loss 2.7924 (2.8528)	Prec@1 31.250 (32.604)	Prec@5 65.625 (62.862)
Epoch: [5][1270/14090]	Time 0.752 (0.753)	Data 0.001 (0.004)	Loss 2.9428 (2.8531)	Prec@1 33.594 (32.605)	Prec@5 59.375 (62.846)
Epoch: [5][1280/14090]	Time 0.731 (0.753)	Data 0.001 (0.004)	Loss 2.7958 (2.8526)	Prec@1 32.812 (32.617)	Prec@5 64.062 (62.846)
Epoch: [5][1290/14090]	Time 0.778 (0.753)	Data 0.001 (0.004)	Loss 2.9071 (2.8517)	Prec@1 28.125 (32.635)	Prec@5 56.250 (62.860)
Epoch: [5][1300/14090]	Time 0.741 (0.753)	Data 0.002 (0.004)	Loss 2.7530 (2.8514)	Prec@1 39.844 (32.642)	Prec@5 65.625 (62.860)
Epoch: [5][1310/14090]	Time 0.782 (0.753)	Data 0.001 (0.004)	Loss 2.9799 (2.8513)	Prec@1 26.562 (32.646)	Prec@5 56.250 (62.854)
Epoch: [5][1320/14090]	Time 0.742 (0.753)	Data 0.001 (0.003)	Loss 3.0463 (2.8516)	Prec@1 33.594 (32.637)	Prec@5 53.906 (62.846)
Epoch: [5][1330/14090]	Time 0.736 (0.753)	Data 0.001 (0.003)	Loss 2.8286 (2.8514)	Prec@1 32.812 (32.652)	Prec@5 65.625 (62.844)
Epoch: [5][1340/14090]	Time 0.748 (0.753)	Data 0.001 (0.003)	Loss 3.0522 (2.8518)	Prec@1 25.000 (32.648)	Prec@5 57.031 (62.832)
Epoch: [5][1350/14090]	Time 0.751 (0.753)	Data 0.001 (0.003)	Loss 2.6224 (2.8511)	Prec@1 42.969 (32.666)	Prec@5 67.969 (62.839)
Epoch: [5][1360/14090]	Time 0.742 (0.753)	Data 0.001 (0.003)	Loss 3.0331 (2.8516)	Prec@1 30.469 (32.641)	Prec@5 54.688 (62.834)
Epoch: [5][1370/14090]	Time 0.773 (0.753)	Data 0.002 (0.003)	Loss 2.8226 (2.8517)	Prec@1 32.031 (32.648)	Prec@5 60.156 (62.824)
Epoch: [5][1380/14090]	Time 0.757 (0.753)	Data 0.001 (0.003)	Loss 2.5852 (2.8517)	Prec@1 37.500 (32.667)	Prec@5 66.406 (62.816)
Epoch: [5][1390/14090]	Time 0.763 (0.753)	Data 0.001 (0.003)	Loss 3.0378 (2.8522)	Prec@1 22.656 (32.653)	Prec@5 58.594 (62.806)
Epoch: [5][1400/14090]	Time 0.752 (0.753)	Data 0.001 (0.003)	Loss 3.0056 (2.8526)	Prec@1 32.031 (32.652)	Prec@5 54.688 (62.787)
Epoch: [5][1410/14090]	Time 0.764 (0.753)	Data 0.001 (0.003)	Loss 2.9775 (2.8527)	Prec@1 32.812 (32.641)	Prec@5 60.156 (62.782)
Epoch: [5][1420/14090]	Time 0.735 (0.753)	Data 0.001 (0.003)	Loss 2.8302 (2.8526)	Prec@1 26.562 (32.634)	Prec@5 65.625 (62.798)
Epoch: [5][1430/14090]	Time 0.735 (0.753)	Data 0.001 (0.003)	Loss 3.0502 (2.8527)	Prec@1 23.438 (32.615)	Prec@5 58.594 (62.803)
Epoch: [5][1440/14090]	Time 0.722 (0.753)	Data 0.002 (0.003)	Loss 2.7464 (2.8528)	Prec@1 33.594 (32.611)	Prec@5 66.406 (62.803)
Epoch: [5][1450/14090]	Time 0.736 (0.753)	Data 0.001 (0.003)	Loss 2.9204 (2.8526)	Prec@1 30.469 (32.615)	Prec@5 61.719 (62.797)
Epoch: [5][1460/14090]	Time 0.775 (0.753)	Data 0.003 (0.003)	Loss 3.0873 (2.8525)	Prec@1 25.000 (32.612)	Prec@5 55.469 (62.793)
Epoch: [5][1470/14090]	Time 0.733 (0.753)	Data 0.001 (0.003)	Loss 2.8921 (2.8522)	Prec@1 37.500 (32.609)	Prec@5 60.938 (62.808)
Epoch: [5][1480/14090]	Time 0.769 (0.753)	Data 0.001 (0.003)	Loss 2.7837 (2.8517)	Prec@1 28.906 (32.606)	Prec@5 67.969 (62.818)
Epoch: [5][1490/14090]	Time 0.732 (0.753)	Data 0.001 (0.003)	Loss 2.9291 (2.8518)	Prec@1 32.812 (32.603)	Prec@5 62.500 (62.816)
Epoch: [5][1500/14090]	Time 0.780 (0.753)	Data 0.001 (0.003)	Loss 2.9854 (2.8519)	Prec@1 28.906 (32.601)	Prec@5 59.375 (62.808)
Epoch: [5][1510/14090]	Time 0.745 (0.753)	Data 0.002 (0.003)	Loss 2.6576 (2.8518)	Prec@1 35.156 (32.602)	Prec@5 66.406 (62.806)
Epoch: [5][1520/14090]	Time 0.749 (0.753)	Data 0.001 (0.003)	Loss 2.6698 (2.8518)	Prec@1 34.375 (32.610)	Prec@5 66.406 (62.806)
Epoch: [5][1530/14090]	Time 0.755 (0.753)	Data 0.001 (0.003)	Loss 3.1224 (2.8519)	Prec@1 30.469 (32.614)	Prec@5 61.719 (62.805)
Epoch: [5][1540/14090]	Time 0.761 (0.753)	Data 0.001 (0.003)	Loss 2.8535 (2.8522)	Prec@1 30.469 (32.612)	Prec@5 63.281 (62.801)
Epoch: [5][1550/14090]	Time 0.725 (0.753)	Data 0.001 (0.003)	Loss 3.1874 (2.8526)	Prec@1 27.344 (32.609)	Prec@5 55.469 (62.790)
Epoch: [5][1560/14090]	Time 0.762 (0.753)	Data 0.001 (0.003)	Loss 2.7858 (2.8521)	Prec@1 31.250 (32.618)	Prec@5 67.188 (62.796)
Epoch: [5][1570/14090]	Time 0.784 (0.753)	Data 0.001 (0.003)	Loss 2.7904 (2.8520)	Prec@1 29.688 (32.626)	Prec@5 64.844 (62.794)
Epoch: [5][1580/14090]	Time 0.766 (0.753)	Data 0.002 (0.003)	Loss 2.9742 (2.8517)	Prec@1 35.156 (32.637)	Prec@5 58.594 (62.796)
Epoch: [5][1590/14090]	Time 0.748 (0.753)	Data 0.001 (0.003)	Loss 3.0895 (2.8517)	Prec@1 30.469 (32.633)	Prec@5 58.594 (62.796)
Epoch: [5][1600/14090]	Time 0.782 (0.753)	Data 0.001 (0.003)	Loss 2.6369 (2.8513)	Prec@1 32.031 (32.642)	Prec@5 62.500 (62.799)
Epoch: [5][1610/14090]	Time 0.725 (0.753)	Data 0.001 (0.003)	Loss 2.8551 (2.8514)	Prec@1 35.938 (32.646)	Prec@5 63.281 (62.797)
Epoch: [5][1620/14090]	Time 0.782 (0.753)	Data 0.001 (0.003)	Loss 2.7751 (2.8512)	Prec@1 38.281 (32.644)	Prec@5 60.938 (62.796)
Epoch: [5][1630/14090]	Time 0.739 (0.753)	Data 0.001 (0.003)	Loss 2.8319 (2.8513)	Prec@1 34.375 (32.653)	Prec@5 65.625 (62.788)
Epoch: [5][1640/14090]	Time 0.743 (0.753)	Data 0.001 (0.003)	Loss 2.8768 (2.8508)	Prec@1 30.469 (32.671)	Prec@5 60.156 (62.792)
Epoch: [5][1650/14090]	Time 0.768 (0.753)	Data 0.002 (0.003)	Loss 2.9693 (2.8506)	Prec@1 32.812 (32.678)	Prec@5 61.719 (62.787)
Epoch: [5][1660/14090]	Time 0.766 (0.753)	Data 0.001 (0.003)	Loss 3.0044 (2.8509)	Prec@1 34.375 (32.676)	Prec@5 57.812 (62.775)
Epoch: [5][1670/14090]	Time 0.750 (0.753)	Data 0.001 (0.003)	Loss 3.0591 (2.8507)	Prec@1 32.031 (32.684)	Prec@5 62.500 (62.773)
Epoch: [5][1680/14090]	Time 0.726 (0.753)	Data 0.001 (0.003)	Loss 2.6082 (2.8507)	Prec@1 32.031 (32.695)	Prec@5 68.750 (62.778)
Epoch: [5][1690/14090]	Time 0.743 (0.753)	Data 0.001 (0.003)	Loss 2.7889 (2.8506)	Prec@1 34.375 (32.692)	Prec@5 60.938 (62.783)
Epoch: [5][1700/14090]	Time 0.732 (0.753)	Data 0.001 (0.003)	Loss 2.7296 (2.8505)	Prec@1 32.812 (32.686)	Prec@5 67.969 (62.793)
Epoch: [5][1710/14090]	Time 0.781 (0.753)	Data 0.001 (0.003)	Loss 2.5771 (2.8499)	Prec@1 35.156 (32.693)	Prec@5 67.969 (62.803)
Epoch: [5][1720/14090]	Time 0.734 (0.753)	Data 0.002 (0.003)	Loss 2.9474 (2.8500)	Prec@1 35.156 (32.691)	Prec@5 57.812 (62.797)
Epoch: [5][1730/14090]	Time 0.761 (0.752)	Data 0.001 (0.003)	Loss 2.6550 (2.8500)	Prec@1 38.281 (32.699)	Prec@5 66.406 (62.798)
Epoch: [5][1740/14090]	Time 0.737 (0.752)	Data 0.001 (0.003)	Loss 2.6451 (2.8502)	Prec@1 34.375 (32.691)	Prec@5 68.750 (62.800)
Epoch: [5][1750/14090]	Time 0.772 (0.752)	Data 0.001 (0.003)	Loss 2.8586 (2.8501)	Prec@1 30.469 (32.691)	Prec@5 59.375 (62.801)
Epoch: [5][1760/14090]	Time 0.780 (0.752)	Data 0.001 (0.003)	Loss 2.4062 (2.8498)	Prec@1 39.062 (32.701)	Prec@5 67.188 (62.808)
Epoch: [5][1770/14090]	Time 0.754 (0.752)	Data 0.001 (0.003)	Loss 2.6911 (2.8499)	Prec@1 32.812 (32.692)	Prec@5 67.969 (62.818)
Epoch: [5][1780/14090]	Time 0.751 (0.752)	Data 0.001 (0.003)	Loss 2.6462 (2.8496)	Prec@1 39.062 (32.707)	Prec@5 67.969 (62.823)
Epoch: [5][1790/14090]	Time 0.735 (0.752)	Data 0.002 (0.003)	Loss 2.7734 (2.8496)	Prec@1 34.375 (32.700)	Prec@5 67.188 (62.821)
Epoch: [5][1800/14090]	Time 0.797 (0.752)	Data 0.001 (0.003)	Loss 2.8080 (2.8489)	Prec@1 34.375 (32.710)	Prec@5 67.188 (62.843)
Epoch: [5][1810/14090]	Time 0.765 (0.752)	Data 0.001 (0.003)	Loss 2.7455 (2.8487)	Prec@1 39.062 (32.718)	Prec@5 67.188 (62.854)
Epoch: [5][1820/14090]	Time 0.733 (0.752)	Data 0.001 (0.003)	Loss 2.6585 (2.8491)	Prec@1 35.156 (32.718)	Prec@5 68.750 (62.848)
Epoch: [5][1830/14090]	Time 0.761 (0.752)	Data 0.001 (0.003)	Loss 2.9079 (2.8488)	Prec@1 32.812 (32.724)	Prec@5 60.938 (62.854)
Epoch: [5][1840/14090]	Time 0.733 (0.752)	Data 0.001 (0.003)	Loss 2.6940 (2.8483)	Prec@1 35.938 (32.726)	Prec@5 67.969 (62.855)
Epoch: [5][1850/14090]	Time 0.754 (0.752)	Data 0.001 (0.003)	Loss 2.5616 (2.8478)	Prec@1 42.188 (32.739)	Prec@5 66.406 (62.860)
Epoch: [5][1860/14090]	Time 0.740 (0.752)	Data 0.002 (0.003)	Loss 2.4628 (2.8476)	Prec@1 37.500 (32.743)	Prec@5 71.094 (62.866)
Epoch: [5][1870/14090]	Time 0.767 (0.752)	Data 0.001 (0.003)	Loss 2.8427 (2.8478)	Prec@1 30.469 (32.743)	Prec@5 63.281 (62.869)
Epoch: [5][1880/14090]	Time 0.744 (0.752)	Data 0.001 (0.003)	Loss 3.2011 (2.8477)	Prec@1 25.000 (32.739)	Prec@5 50.781 (62.861)
Epoch: [5][1890/14090]	Time 0.751 (0.752)	Data 0.001 (0.003)	Loss 2.6080 (2.8472)	Prec@1 35.938 (32.748)	Prec@5 70.312 (62.877)
Epoch: [5][1900/14090]	Time 0.777 (0.752)	Data 0.001 (0.003)	Loss 3.1891 (2.8476)	Prec@1 22.656 (32.741)	Prec@5 53.906 (62.870)
Epoch: [5][1910/14090]	Time 0.749 (0.752)	Data 0.001 (0.003)	Loss 2.8038 (2.8474)	Prec@1 28.906 (32.741)	Prec@5 64.844 (62.880)
Epoch: [5][1920/14090]	Time 0.753 (0.752)	Data 0.001 (0.003)	Loss 2.9755 (2.8478)	Prec@1 32.812 (32.738)	Prec@5 59.375 (62.870)
Epoch: [5][1930/14090]	Time 0.735 (0.752)	Data 0.002 (0.003)	Loss 2.6591 (2.8476)	Prec@1 35.156 (32.736)	Prec@5 67.188 (62.873)
Epoch: [5][1940/14090]	Time 0.777 (0.752)	Data 0.001 (0.003)	Loss 2.6602 (2.8475)	Prec@1 30.469 (32.747)	Prec@5 64.844 (62.873)
Epoch: [5][1950/14090]	Time 0.748 (0.752)	Data 0.001 (0.003)	Loss 3.2837 (2.8472)	Prec@1 26.562 (32.742)	Prec@5 56.250 (62.890)
Epoch: [5][1960/14090]	Time 0.725 (0.752)	Data 0.001 (0.003)	Loss 2.7219 (2.8466)	Prec@1 31.250 (32.751)	Prec@5 65.625 (62.903)
Epoch: [5][1970/14090]	Time 0.774 (0.752)	Data 0.001 (0.003)	Loss 2.9316 (2.8464)	Prec@1 31.250 (32.753)	Prec@5 62.500 (62.904)
Epoch: [5][1980/14090]	Time 0.736 (0.752)	Data 0.001 (0.003)	Loss 2.8993 (2.8465)	Prec@1 31.250 (32.747)	Prec@5 59.375 (62.903)
Epoch: [5][1990/14090]	Time 0.724 (0.752)	Data 0.001 (0.003)	Loss 2.6349 (2.8465)	Prec@1 35.156 (32.744)	Prec@5 68.750 (62.910)
Epoch: [5][2000/14090]	Time 0.771 (0.752)	Data 0.001 (0.003)	Loss 2.5852 (2.8462)	Prec@1 36.719 (32.741)	Prec@5 68.750 (62.919)
Epoch: [5][2010/14090]	Time 0.782 (0.752)	Data 0.001 (0.003)	Loss 2.8221 (2.8462)	Prec@1 35.938 (32.742)	Prec@5 59.375 (62.911)
Epoch: [5][2020/14090]	Time 0.784 (0.752)	Data 0.001 (0.003)	Loss 3.1027 (2.8464)	Prec@1 24.219 (32.732)	Prec@5 60.938 (62.904)
Epoch: [5][2030/14090]	Time 0.737 (0.752)	Data 0.001 (0.003)	Loss 2.7396 (2.8461)	Prec@1 33.594 (32.736)	Prec@5 67.188 (62.914)
Epoch: [5][2040/14090]	Time 0.778 (0.752)	Data 0.001 (0.003)	Loss 2.8257 (2.8464)	Prec@1 32.031 (32.727)	Prec@5 64.844 (62.911)
Epoch: [5][2050/14090]	Time 0.778 (0.752)	Data 0.001 (0.003)	Loss 2.8247 (2.8466)	Prec@1 36.719 (32.722)	Prec@5 62.500 (62.908)
Epoch: [5][2060/14090]	Time 0.727 (0.752)	Data 0.001 (0.003)	Loss 2.8466 (2.8470)	Prec@1 28.906 (32.724)	Prec@5 62.500 (62.900)
Epoch: [5][2070/14090]	Time 0.784 (0.752)	Data 0.002 (0.003)	Loss 2.8714 (2.8469)	Prec@1 29.688 (32.730)	Prec@5 65.625 (62.901)
Epoch: [5][2080/14090]	Time 0.778 (0.752)	Data 0.001 (0.003)	Loss 3.2185 (2.8469)	Prec@1 32.812 (32.728)	Prec@5 52.344 (62.896)
Epoch: [5][2090/14090]	Time 0.752 (0.752)	Data 0.001 (0.003)	Loss 3.0542 (2.8471)	Prec@1 30.469 (32.729)	Prec@5 62.500 (62.889)
Epoch: [5][2100/14090]	Time 0.747 (0.752)	Data 0.001 (0.003)	Loss 2.6826 (2.8472)	Prec@1 37.500 (32.728)	Prec@5 65.625 (62.884)
Epoch: [5][2110/14090]	Time 0.773 (0.752)	Data 0.003 (0.003)	Loss 2.5002 (2.8466)	Prec@1 39.844 (32.745)	Prec@5 66.406 (62.896)
Epoch: [5][2120/14090]	Time 0.734 (0.752)	Data 0.001 (0.003)	Loss 2.6974 (2.8465)	Prec@1 40.625 (32.746)	Prec@5 67.969 (62.896)
Epoch: [5][2130/14090]	Time 0.745 (0.752)	Data 0.001 (0.003)	Loss 2.6276 (2.8466)	Prec@1 34.375 (32.744)	Prec@5 64.062 (62.889)
Epoch: [5][2140/14090]	Time 0.747 (0.752)	Data 0.002 (0.003)	Loss 3.0870 (2.8465)	Prec@1 30.469 (32.748)	Prec@5 57.031 (62.889)
Epoch: [5][2150/14090]	Time 0.770 (0.752)	Data 0.001 (0.003)	Loss 2.6992 (2.8468)	Prec@1 35.156 (32.738)	Prec@5 64.062 (62.887)
Epoch: [5][2160/14090]	Time 0.740 (0.752)	Data 0.001 (0.003)	Loss 3.0714 (2.8467)	Prec@1 28.125 (32.739)	Prec@5 57.031 (62.889)
Epoch: [5][2170/14090]	Time 0.724 (0.752)	Data 0.001 (0.003)	Loss 3.1980 (2.8473)	Prec@1 30.469 (32.733)	Prec@5 57.031 (62.876)
Epoch: [5][2180/14090]	Time 0.751 (0.752)	Data 0.001 (0.002)	Loss 3.0538 (2.8473)	Prec@1 28.125 (32.735)	Prec@5 66.406 (62.883)
Epoch: [5][2190/14090]	Time 0.738 (0.752)	Data 0.001 (0.002)	Loss 2.9257 (2.8474)	Prec@1 31.250 (32.736)	Prec@5 61.719 (62.879)
Epoch: [5][2200/14090]	Time 0.762 (0.752)	Data 0.001 (0.002)	Loss 2.9297 (2.8475)	Prec@1 32.031 (32.733)	Prec@5 64.844 (62.875)
Epoch: [5][2210/14090]	Time 0.756 (0.752)	Data 0.002 (0.002)	Loss 3.1329 (2.8477)	Prec@1 28.125 (32.730)	Prec@5 52.344 (62.866)
Epoch: [5][2220/14090]	Time 0.734 (0.752)	Data 0.001 (0.002)	Loss 2.8078 (2.8476)	Prec@1 35.938 (32.735)	Prec@5 60.156 (62.867)
Epoch: [5][2230/14090]	Time 0.749 (0.752)	Data 0.001 (0.002)	Loss 2.9373 (2.8474)	Prec@1 32.031 (32.734)	Prec@5 60.938 (62.867)
Epoch: [5][2240/14090]	Time 0.751 (0.752)	Data 0.001 (0.002)	Loss 2.8317 (2.8476)	Prec@1 35.938 (32.733)	Prec@5 64.062 (62.868)
Epoch: [5][2250/14090]	Time 0.731 (0.752)	Data 0.001 (0.002)	Loss 2.7420 (2.8475)	Prec@1 35.938 (32.735)	Prec@5 61.719 (62.863)
Epoch: [5][2260/14090]	Time 0.737 (0.752)	Data 0.001 (0.002)	Loss 3.0099 (2.8474)	Prec@1 30.469 (32.739)	Prec@5 57.031 (62.866)
Epoch: [5][2270/14090]	Time 0.755 (0.752)	Data 0.001 (0.002)	Loss 2.8859 (2.8476)	Prec@1 32.812 (32.738)	Prec@5 65.625 (62.857)
Epoch: [5][2280/14090]	Time 0.734 (0.752)	Data 0.002 (0.002)	Loss 2.9859 (2.8473)	Prec@1 32.812 (32.745)	Prec@5 61.719 (62.859)
Epoch: [5][2290/14090]	Time 0.773 (0.752)	Data 0.001 (0.002)	Loss 2.8451 (2.8474)	Prec@1 28.906 (32.749)	Prec@5 66.406 (62.858)
Epoch: [5][2300/14090]	Time 0.725 (0.752)	Data 0.001 (0.002)	Loss 2.9653 (2.8479)	Prec@1 35.156 (32.740)	Prec@5 58.594 (62.843)
Epoch: [5][2310/14090]	Time 0.737 (0.752)	Data 0.001 (0.002)	Loss 2.8770 (2.8481)	Prec@1 33.594 (32.742)	Prec@5 61.719 (62.838)
Epoch: [5][2320/14090]	Time 0.780 (0.752)	Data 0.001 (0.002)	Loss 2.6751 (2.8481)	Prec@1 35.938 (32.740)	Prec@5 62.500 (62.833)
Epoch: [5][2330/14090]	Time 0.727 (0.752)	Data 0.001 (0.002)	Loss 2.7741 (2.8480)	Prec@1 32.031 (32.742)	Prec@5 63.281 (62.834)
Epoch: [5][2340/14090]	Time 0.733 (0.752)	Data 0.001 (0.002)	Loss 2.7366 (2.8483)	Prec@1 34.375 (32.737)	Prec@5 60.156 (62.832)
Epoch: [5][2350/14090]	Time 0.771 (0.752)	Data 0.003 (0.002)	Loss 2.5397 (2.8482)	Prec@1 37.500 (32.738)	Prec@5 70.312 (62.840)
Epoch: [5][2360/14090]	Time 0.741 (0.752)	Data 0.001 (0.002)	Loss 2.8184 (2.8478)	Prec@1 35.156 (32.740)	Prec@5 58.594 (62.846)
Epoch: [5][2370/14090]	Time 0.724 (0.752)	Data 0.001 (0.002)	Loss 3.1179 (2.8479)	Prec@1 29.688 (32.739)	Prec@5 60.938 (62.846)
Epoch: [5][2380/14090]	Time 0.778 (0.752)	Data 0.001 (0.002)	Loss 2.9791 (2.8478)	Prec@1 30.469 (32.743)	Prec@5 65.625 (62.845)
Epoch: [5][2390/14090]	Time 0.722 (0.752)	Data 0.001 (0.002)	Loss 2.7034 (2.8473)	Prec@1 31.250 (32.754)	Prec@5 67.969 (62.852)
Epoch: [5][2400/14090]	Time 0.790 (0.752)	Data 0.001 (0.002)	Loss 2.7957 (2.8473)	Prec@1 36.719 (32.753)	Prec@5 64.062 (62.847)
Epoch: [5][2410/14090]	Time 0.745 (0.752)	Data 0.001 (0.002)	Loss 3.1341 (2.8476)	Prec@1 25.000 (32.742)	Prec@5 58.594 (62.836)
Epoch: [5][2420/14090]	Time 0.727 (0.752)	Data 0.002 (0.002)	Loss 3.1278 (2.8474)	Prec@1 25.781 (32.751)	Prec@5 57.031 (62.843)
Epoch: [5][2430/14090]	Time 0.767 (0.752)	Data 0.001 (0.002)	Loss 3.0300 (2.8471)	Prec@1 28.125 (32.756)	Prec@5 59.375 (62.848)
Epoch: [5][2440/14090]	Time 0.740 (0.752)	Data 0.001 (0.002)	Loss 3.1138 (2.8476)	Prec@1 25.781 (32.751)	Prec@5 51.562 (62.838)
Epoch: [5][2450/14090]	Time 0.726 (0.752)	Data 0.001 (0.002)	Loss 2.8242 (2.8470)	Prec@1 32.812 (32.764)	Prec@5 63.281 (62.847)
Epoch: [5][2460/14090]	Time 0.728 (0.752)	Data 0.001 (0.002)	Loss 2.5953 (2.8473)	Prec@1 32.812 (32.759)	Prec@5 68.750 (62.850)
Epoch: [5][2470/14090]	Time 0.760 (0.752)	Data 0.001 (0.002)	Loss 2.5989 (2.8474)	Prec@1 37.500 (32.758)	Prec@5 74.219 (62.851)
Epoch: [5][2480/14090]	Time 0.747 (0.752)	Data 0.001 (0.002)	Loss 3.0324 (2.8476)	Prec@1 24.219 (32.753)	Prec@5 60.156 (62.846)
Epoch: [5][2490/14090]	Time 0.774 (0.752)	Data 0.002 (0.002)	Loss 2.7282 (2.8475)	Prec@1 37.500 (32.758)	Prec@5 65.625 (62.847)
Epoch: [5][2500/14090]	Time 0.735 (0.752)	Data 0.001 (0.002)	Loss 2.9527 (2.8475)	Prec@1 32.031 (32.763)	Prec@5 61.719 (62.847)
Epoch: [5][2510/14090]	Time 0.761 (0.752)	Data 0.001 (0.002)	Loss 2.7746 (2.8475)	Prec@1 37.500 (32.769)	Prec@5 63.281 (62.844)
Epoch: [5][2520/14090]	Time 0.726 (0.752)	Data 0.001 (0.002)	Loss 2.6667 (2.8476)	Prec@1 42.188 (32.773)	Prec@5 66.406 (62.841)
Epoch: [5][2530/14090]	Time 0.774 (0.752)	Data 0.001 (0.002)	Loss 2.9700 (2.8474)	Prec@1 27.344 (32.773)	Prec@5 55.469 (62.844)
Epoch: [5][2540/14090]	Time 0.733 (0.752)	Data 0.001 (0.002)	Loss 2.8823 (2.8473)	Prec@1 28.125 (32.772)	Prec@5 62.500 (62.847)
Epoch: [5][2550/14090]	Time 0.744 (0.752)	Data 0.001 (0.002)	Loss 3.0750 (2.8474)	Prec@1 31.250 (32.773)	Prec@5 59.375 (62.848)
Epoch: [5][2560/14090]	Time 0.735 (0.752)	Data 0.002 (0.002)	Loss 2.8168 (2.8473)	Prec@1 31.250 (32.772)	Prec@5 65.625 (62.853)
Epoch: [5][2570/14090]	Time 0.777 (0.752)	Data 0.001 (0.002)	Loss 3.1999 (2.8472)	Prec@1 24.219 (32.777)	Prec@5 55.469 (62.849)
Epoch: [5][2580/14090]	Time 0.733 (0.752)	Data 0.001 (0.002)	Loss 2.9878 (2.8473)	Prec@1 28.125 (32.775)	Prec@5 60.156 (62.841)
Epoch: [5][2590/14090]	Time 0.729 (0.752)	Data 0.001 (0.002)	Loss 3.0228 (2.8475)	Prec@1 31.250 (32.776)	Prec@5 60.938 (62.838)
Epoch: [5][2600/14090]	Time 0.743 (0.752)	Data 0.001 (0.002)	Loss 2.6682 (2.8477)	Prec@1 44.531 (32.779)	Prec@5 67.969 (62.837)
Epoch: [5][2610/14090]	Time 0.753 (0.752)	Data 0.001 (0.002)	Loss 3.2387 (2.8476)	Prec@1 24.219 (32.778)	Prec@5 60.156 (62.843)
Epoch: [5][2620/14090]	Time 0.735 (0.752)	Data 0.001 (0.002)	Loss 2.7465 (2.8474)	Prec@1 34.375 (32.779)	Prec@5 60.156 (62.845)
Epoch: [5][2630/14090]	Time 0.753 (0.752)	Data 0.002 (0.002)	Loss 2.9637 (2.8474)	Prec@1 32.031 (32.780)	Prec@5 60.938 (62.843)
Epoch: [5][2640/14090]	Time 0.734 (0.752)	Data 0.001 (0.002)	Loss 2.6745 (2.8476)	Prec@1 36.719 (32.776)	Prec@5 60.938 (62.840)
Epoch: [5][2650/14090]	Time 0.770 (0.752)	Data 0.001 (0.002)	Loss 2.9282 (2.8478)	Prec@1 26.562 (32.773)	Prec@5 67.188 (62.835)
Epoch: [5][2660/14090]	Time 0.784 (0.752)	Data 0.001 (0.002)	Loss 2.7084 (2.8479)	Prec@1 32.031 (32.773)	Prec@5 67.188 (62.833)
Epoch: [5][2670/14090]	Time 0.737 (0.752)	Data 0.001 (0.002)	Loss 2.7901 (2.8479)	Prec@1 29.688 (32.768)	Prec@5 63.281 (62.836)
Epoch: [5][2680/14090]	Time 0.743 (0.752)	Data 0.001 (0.002)	Loss 2.8103 (2.8480)	Prec@1 30.469 (32.769)	Prec@5 64.844 (62.833)
Epoch: [5][2690/14090]	Time 0.780 (0.752)	Data 0.002 (0.002)	Loss 2.9087 (2.8480)	Prec@1 32.812 (32.772)	Prec@5 62.500 (62.835)
Epoch: [5][2700/14090]	Time 0.753 (0.752)	Data 0.002 (0.002)	Loss 2.8507 (2.8481)	Prec@1 37.500 (32.768)	Prec@5 62.500 (62.831)
Epoch: [5][2710/14090]	Time 0.739 (0.752)	Data 0.001 (0.002)	Loss 3.0795 (2.8480)	Prec@1 29.688 (32.766)	Prec@5 64.062 (62.835)
Epoch: [5][2720/14090]	Time 0.772 (0.752)	Data 0.001 (0.002)	Loss 2.6221 (2.8477)	Prec@1 32.812 (32.768)	Prec@5 70.312 (62.845)
Epoch: [5][2730/14090]	Time 0.731 (0.752)	Data 0.001 (0.002)	Loss 2.8304 (2.8479)	Prec@1 33.594 (32.769)	Prec@5 62.500 (62.841)
Epoch: [5][2740/14090]	Time 0.756 (0.752)	Data 0.001 (0.002)	Loss 2.8294 (2.8481)	Prec@1 33.594 (32.772)	Prec@5 64.062 (62.834)
Epoch: [5][2750/14090]	Time 0.742 (0.752)	Data 0.001 (0.002)	Loss 2.6062 (2.8479)	Prec@1 40.625 (32.779)	Prec@5 65.625 (62.833)
Epoch: [5][2760/14090]	Time 0.746 (0.752)	Data 0.001 (0.002)	Loss 2.8337 (2.8477)	Prec@1 34.375 (32.783)	Prec@5 64.062 (62.836)
Epoch: [5][2770/14090]	Time 0.735 (0.752)	Data 0.002 (0.002)	Loss 2.7181 (2.8476)	Prec@1 32.812 (32.784)	Prec@5 59.375 (62.835)
Epoch: [5][2780/14090]	Time 0.736 (0.752)	Data 0.001 (0.002)	Loss 2.7037 (2.8474)	Prec@1 36.719 (32.788)	Prec@5 67.188 (62.842)
Epoch: [5][2790/14090]	Time 0.729 (0.752)	Data 0.001 (0.002)	Loss 3.0810 (2.8473)	Prec@1 28.125 (32.793)	Prec@5 57.031 (62.846)
Epoch: [5][2800/14090]	Time 0.768 (0.752)	Data 0.001 (0.002)	Loss 2.8670 (2.8472)	Prec@1 35.938 (32.795)	Prec@5 62.500 (62.849)
Epoch: [5][2810/14090]	Time 0.735 (0.752)	Data 0.001 (0.002)	Loss 2.9568 (2.8472)	Prec@1 36.719 (32.798)	Prec@5 64.062 (62.851)
Epoch: [5][2820/14090]	Time 0.756 (0.752)	Data 0.001 (0.002)	Loss 2.7162 (2.8469)	Prec@1 34.375 (32.804)	Prec@5 61.719 (62.852)
Epoch: [5][2830/14090]	Time 0.751 (0.752)	Data 0.001 (0.002)	Loss 2.7198 (2.8468)	Prec@1 35.156 (32.808)	Prec@5 62.500 (62.851)
Epoch: [5][2840/14090]	Time 0.734 (0.752)	Data 0.002 (0.002)	Loss 2.5856 (2.8466)	Prec@1 36.719 (32.808)	Prec@5 71.094 (62.861)
Epoch: [5][2850/14090]	Time 0.732 (0.752)	Data 0.001 (0.002)	Loss 3.1000 (2.8468)	Prec@1 29.688 (32.802)	Prec@5 57.812 (62.861)
Epoch: [5][2860/14090]	Time 0.752 (0.752)	Data 0.001 (0.002)	Loss 3.0334 (2.8470)	Prec@1 32.812 (32.799)	Prec@5 59.375 (62.861)
Epoch: [5][2870/14090]	Time 0.729 (0.752)	Data 0.001 (0.002)	Loss 2.9339 (2.8470)	Prec@1 32.031 (32.800)	Prec@5 58.594 (62.858)
Epoch: [5][2880/14090]	Time 0.786 (0.752)	Data 0.001 (0.002)	Loss 3.1651 (2.8472)	Prec@1 29.688 (32.801)	Prec@5 60.938 (62.859)
Epoch: [5][2890/14090]	Time 0.742 (0.752)	Data 0.001 (0.002)	Loss 2.8185 (2.8470)	Prec@1 34.375 (32.814)	Prec@5 61.719 (62.859)
Epoch: [5][2900/14090]	Time 0.724 (0.752)	Data 0.001 (0.002)	Loss 2.6687 (2.8471)	Prec@1 35.156 (32.815)	Prec@5 67.188 (62.855)
Epoch: [5][2910/14090]	Time 0.738 (0.752)	Data 0.002 (0.002)	Loss 2.5457 (2.8469)	Prec@1 36.719 (32.815)	Prec@5 69.531 (62.857)
Epoch: [5][2920/14090]	Time 0.756 (0.752)	Data 0.001 (0.002)	Loss 2.7677 (2.8472)	Prec@1 32.031 (32.806)	Prec@5 66.406 (62.851)
Epoch: [5][2930/14090]	Time 0.725 (0.752)	Data 0.001 (0.002)	Loss 3.0790 (2.8475)	Prec@1 25.781 (32.799)	Prec@5 55.469 (62.842)
Epoch: [5][2940/14090]	Time 0.794 (0.752)	Data 0.001 (0.002)	Loss 2.8811 (2.8475)	Prec@1 33.594 (32.798)	Prec@5 64.062 (62.846)
Epoch: [5][2950/14090]	Time 0.737 (0.752)	Data 0.001 (0.002)	Loss 2.7609 (2.8471)	Prec@1 35.156 (32.803)	Prec@5 61.719 (62.856)
Epoch: [5][2960/14090]	Time 0.732 (0.752)	Data 0.003 (0.002)	Loss 2.7886 (2.8472)	Prec@1 32.031 (32.804)	Prec@5 64.844 (62.856)
Epoch: [5][2970/14090]	Time 0.747 (0.752)	Data 0.001 (0.002)	Loss 3.1737 (2.8473)	Prec@1 28.906 (32.805)	Prec@5 55.469 (62.849)
Epoch: [5][2980/14090]	Time 0.745 (0.752)	Data 0.002 (0.002)	Loss 2.6263 (2.8471)	Prec@1 35.156 (32.807)	Prec@5 65.625 (62.851)
Epoch: [5][2990/14090]	Time 0.740 (0.752)	Data 0.001 (0.002)	Loss 2.8002 (2.8471)	Prec@1 30.469 (32.804)	Prec@5 58.594 (62.850)
Epoch: [5][3000/14090]	Time 0.729 (0.752)	Data 0.001 (0.002)	Loss 2.9934 (2.8470)	Prec@1 30.469 (32.809)	Prec@5 61.719 (62.854)
Epoch: [5][3010/14090]	Time 0.735 (0.752)	Data 0.001 (0.002)	Loss 2.9675 (2.8467)	Prec@1 33.594 (32.811)	Prec@5 58.594 (62.860)
Epoch: [5][3020/14090]	Time 0.753 (0.752)	Data 0.001 (0.002)	Loss 2.9452 (2.8464)	Prec@1 26.562 (32.813)	Prec@5 67.188 (62.869)
Epoch: [5][3030/14090]	Time 0.741 (0.752)	Data 0.001 (0.002)	Loss 2.8172 (2.8464)	Prec@1 32.812 (32.813)	Prec@5 65.625 (62.867)
Epoch: [5][3040/14090]	Time 0.736 (0.752)	Data 0.001 (0.002)	Loss 3.1060 (2.8466)	Prec@1 35.938 (32.812)	Prec@5 57.812 (62.866)
Epoch: [5][3050/14090]	Time 0.763 (0.752)	Data 0.002 (0.002)	Loss 2.9596 (2.8466)	Prec@1 31.250 (32.809)	Prec@5 60.938 (62.863)
Epoch: [5][3060/14090]	Time 0.745 (0.752)	Data 0.001 (0.002)	Loss 2.8798 (2.8467)	Prec@1 34.375 (32.811)	Prec@5 60.156 (62.858)
Epoch: [5][3070/14090]	Time 0.755 (0.752)	Data 0.002 (0.002)	Loss 2.9182 (2.8465)	Prec@1 29.688 (32.814)	Prec@5 62.500 (62.861)
Epoch: [5][3080/14090]	Time 0.782 (0.752)	Data 0.001 (0.002)	Loss 2.8631 (2.8466)	Prec@1 29.688 (32.809)	Prec@5 60.938 (62.859)
Epoch: [5][3090/14090]	Time 0.721 (0.752)	Data 0.001 (0.002)	Loss 3.0196 (2.8466)	Prec@1 25.781 (32.808)	Prec@5 59.375 (62.860)
Epoch: [5][3100/14090]	Time 0.781 (0.752)	Data 0.001 (0.002)	Loss 2.6253 (2.8467)	Prec@1 34.375 (32.804)	Prec@5 64.844 (62.856)
Epoch: [5][3110/14090]	Time 0.771 (0.752)	Data 0.001 (0.002)	Loss 2.8604 (2.8465)	Prec@1 33.594 (32.806)	Prec@5 62.500 (62.854)
Epoch: [5][3120/14090]	Time 0.739 (0.752)	Data 0.003 (0.002)	Loss 2.8649 (2.8465)	Prec@1 35.938 (32.807)	Prec@5 62.500 (62.858)
Epoch: [5][3130/14090]	Time 0.749 (0.752)	Data 0.001 (0.002)	Loss 2.9846 (2.8467)	Prec@1 32.812 (32.800)	Prec@5 62.500 (62.859)
Epoch: [5][3140/14090]	Time 0.780 (0.752)	Data 0.001 (0.002)	Loss 3.1756 (2.8469)	Prec@1 28.125 (32.793)	Prec@5 54.688 (62.853)
Epoch: [5][3150/14090]	Time 0.760 (0.752)	Data 0.001 (0.002)	Loss 2.9998 (2.8468)	Prec@1 29.688 (32.789)	Prec@5 56.250 (62.852)
Epoch: [5][3160/14090]	Time 0.771 (0.752)	Data 0.001 (0.002)	Loss 2.7924 (2.8466)	Prec@1 31.250 (32.789)	Prec@5 64.844 (62.854)
Epoch: [5][3170/14090]	Time 0.731 (0.752)	Data 0.001 (0.002)	Loss 3.0172 (2.8467)	Prec@1 28.125 (32.791)	Prec@5 66.406 (62.851)
Epoch: [5][3180/14090]	Time 0.778 (0.752)	Data 0.001 (0.002)	Loss 2.9155 (2.8467)	Prec@1 35.938 (32.791)	Prec@5 64.062 (62.849)
Epoch: [5][3190/14090]	Time 0.733 (0.752)	Data 0.002 (0.002)	Loss 2.7175 (2.8469)	Prec@1 34.375 (32.792)	Prec@5 70.312 (62.845)
Epoch: [5][3200/14090]	Time 0.739 (0.752)	Data 0.001 (0.002)	Loss 2.6071 (2.8471)	Prec@1 38.281 (32.786)	Prec@5 68.750 (62.845)
Epoch: [5][3210/14090]	Time 0.746 (0.752)	Data 0.001 (0.002)	Loss 2.4555 (2.8472)	Prec@1 40.625 (32.781)	Prec@5 70.312 (62.838)
Epoch: [5][3220/14090]	Time 0.735 (0.752)	Data 0.001 (0.002)	Loss 2.7494 (2.8472)	Prec@1 32.812 (32.782)	Prec@5 64.844 (62.833)
Epoch: [5][3230/14090]	Time 0.732 (0.752)	Data 0.001 (0.002)	Loss 2.6434 (2.8472)	Prec@1 32.812 (32.783)	Prec@5 68.750 (62.834)
Epoch: [5][3240/14090]	Time 0.752 (0.752)	Data 0.001 (0.002)	Loss 2.8039 (2.8475)	Prec@1 39.062 (32.780)	Prec@5 59.375 (62.825)
Epoch: [5][3250/14090]	Time 0.735 (0.752)	Data 0.001 (0.002)	Loss 2.9395 (2.8473)	Prec@1 30.469 (32.784)	Prec@5 60.156 (62.831)
Epoch: [5][3260/14090]	Time 0.754 (0.752)	Data 0.002 (0.002)	Loss 2.6595 (2.8473)	Prec@1 37.500 (32.784)	Prec@5 68.750 (62.827)
Epoch: [5][3270/14090]	Time 0.738 (0.752)	Data 0.001 (0.002)	Loss 3.0818 (2.8472)	Prec@1 28.906 (32.783)	Prec@5 60.938 (62.828)
Epoch: [5][3280/14090]	Time 0.767 (0.752)	Data 0.001 (0.002)	Loss 2.8473 (2.8474)	Prec@1 27.344 (32.771)	Prec@5 69.531 (62.826)
Epoch: [5][3290/14090]	Time 0.721 (0.752)	Data 0.001 (0.002)	Loss 2.9444 (2.8473)	Prec@1 26.562 (32.770)	Prec@5 64.062 (62.828)
Epoch: [5][3300/14090]	Time 0.740 (0.752)	Data 0.001 (0.002)	Loss 2.8350 (2.8476)	Prec@1 32.812 (32.766)	Prec@5 63.281 (62.828)
Epoch: [5][3310/14090]	Time 0.733 (0.752)	Data 0.001 (0.002)	Loss 2.7817 (2.8476)	Prec@1 34.375 (32.762)	Prec@5 66.406 (62.827)
Epoch: [5][3320/14090]	Time 0.775 (0.752)	Data 0.001 (0.002)	Loss 2.7872 (2.8476)	Prec@1 35.938 (32.761)	Prec@5 57.031 (62.821)
Epoch: [5][3330/14090]	Time 0.735 (0.752)	Data 0.002 (0.002)	Loss 3.0926 (2.8477)	Prec@1 32.031 (32.762)	Prec@5 60.938 (62.817)
Epoch: [5][3340/14090]	Time 0.744 (0.752)	Data 0.001 (0.002)	Loss 2.6068 (2.8475)	Prec@1 29.688 (32.765)	Prec@5 65.625 (62.819)
Epoch: [5][3350/14090]	Time 0.749 (0.752)	Data 0.001 (0.002)	Loss 2.6184 (2.8477)	Prec@1 35.938 (32.761)	Prec@5 71.094 (62.817)
Epoch: [5][3360/14090]	Time 0.734 (0.752)	Data 0.001 (0.002)	Loss 2.4484 (2.8474)	Prec@1 39.844 (32.771)	Prec@5 71.875 (62.819)
Epoch: [5][3370/14090]	Time 0.771 (0.752)	Data 0.001 (0.002)	Loss 2.9433 (2.8475)	Prec@1 26.562 (32.772)	Prec@5 61.719 (62.818)
Epoch: [5][3380/14090]	Time 0.754 (0.752)	Data 0.001 (0.002)	Loss 3.0716 (2.8478)	Prec@1 24.219 (32.767)	Prec@5 56.250 (62.810)
Epoch: [5][3390/14090]	Time 0.734 (0.752)	Data 0.001 (0.002)	Loss 2.8256 (2.8479)	Prec@1 31.250 (32.764)	Prec@5 57.031 (62.810)
Epoch: [5][3400/14090]	Time 0.744 (0.752)	Data 0.002 (0.002)	Loss 3.2743 (2.8479)	Prec@1 24.219 (32.762)	Prec@5 54.688 (62.813)
Epoch: [5][3410/14090]	Time 0.735 (0.752)	Data 0.001 (0.002)	Loss 2.6094 (2.8477)	Prec@1 39.062 (32.770)	Prec@5 67.969 (62.816)
Epoch: [5][3420/14090]	Time 0.789 (0.752)	Data 0.001 (0.002)	Loss 2.7031 (2.8476)	Prec@1 37.500 (32.773)	Prec@5 59.375 (62.818)
Epoch: [5][3430/14090]	Time 0.753 (0.752)	Data 0.001 (0.002)	Loss 2.7576 (2.8473)	Prec@1 34.375 (32.775)	Prec@5 60.938 (62.821)
Epoch: [5][3440/14090]	Time 0.735 (0.752)	Data 0.001 (0.002)	Loss 2.6943 (2.8473)	Prec@1 34.375 (32.776)	Prec@5 65.625 (62.823)
Epoch: [5][3450/14090]	Time 0.757 (0.752)	Data 0.001 (0.002)	Loss 2.8339 (2.8473)	Prec@1 32.812 (32.772)	Prec@5 64.062 (62.820)
Epoch: [5][3460/14090]	Time 0.737 (0.752)	Data 0.001 (0.002)	Loss 2.9902 (2.8471)	Prec@1 30.469 (32.778)	Prec@5 60.938 (62.824)
Epoch: [5][3470/14090]	Time 0.734 (0.752)	Data 0.002 (0.002)	Loss 2.9367 (2.8472)	Prec@1 25.781 (32.776)	Prec@5 62.500 (62.822)
Epoch: [5][3480/14090]	Time 0.750 (0.752)	Data 0.001 (0.002)	Loss 3.1100 (2.8474)	Prec@1 28.125 (32.769)	Prec@5 56.250 (62.820)
Epoch: [5][3490/14090]	Time 0.752 (0.752)	Data 0.001 (0.002)	Loss 2.9460 (2.8474)	Prec@1 32.031 (32.768)	Prec@5 64.844 (62.822)
Epoch: [5][3500/14090]	Time 0.727 (0.752)	Data 0.001 (0.002)	Loss 2.7963 (2.8475)	Prec@1 31.250 (32.768)	Prec@5 65.625 (62.819)
Epoch: [5][3510/14090]	Time 0.740 (0.752)	Data 0.001 (0.002)	Loss 2.6363 (2.8475)	Prec@1 38.281 (32.768)	Prec@5 65.625 (62.820)
Epoch: [5][3520/14090]	Time 0.768 (0.752)	Data 0.001 (0.002)	Loss 2.8674 (2.8475)	Prec@1 31.250 (32.767)	Prec@5 57.812 (62.818)
Epoch: [5][3530/14090]	Time 0.783 (0.752)	Data 0.001 (0.002)	Loss 2.8108 (2.8474)	Prec@1 36.719 (32.770)	Prec@5 60.938 (62.819)
Epoch: [5][3540/14090]	Time 0.759 (0.752)	Data 0.002 (0.002)	Loss 3.2602 (2.8478)	Prec@1 23.438 (32.766)	Prec@5 50.000 (62.810)
Epoch: [5][3550/14090]	Time 0.733 (0.752)	Data 0.001 (0.002)	Loss 3.0042 (2.8476)	Prec@1 35.156 (32.770)	Prec@5 56.250 (62.810)
Epoch: [5][3560/14090]	Time 0.728 (0.752)	Data 0.001 (0.002)	Loss 2.7165 (2.8475)	Prec@1 33.594 (32.767)	Prec@5 65.625 (62.816)
Epoch: [5][3570/14090]	Time 0.735 (0.752)	Data 0.001 (0.002)	Loss 2.6363 (2.8474)	Prec@1 40.625 (32.770)	Prec@5 69.531 (62.818)
Epoch: [5][3580/14090]	Time 0.779 (0.752)	Data 0.001 (0.002)	Loss 2.7213 (2.8474)	Prec@1 35.938 (32.770)	Prec@5 64.062 (62.820)
Epoch: [5][3590/14090]	Time 0.738 (0.752)	Data 0.001 (0.002)	Loss 2.8024 (2.8474)	Prec@1 34.375 (32.772)	Prec@5 61.719 (62.817)
Epoch: [5][3600/14090]	Time 0.740 (0.752)	Data 0.001 (0.002)	Loss 2.8320 (2.8475)	Prec@1 29.688 (32.767)	Prec@5 63.281 (62.815)
Epoch: [5][3610/14090]	Time 0.749 (0.752)	Data 0.002 (0.002)	Loss 2.8499 (2.8477)	Prec@1 29.688 (32.764)	Prec@5 61.719 (62.813)
Epoch: [5][3620/14090]	Time 0.779 (0.752)	Data 0.001 (0.002)	Loss 2.4826 (2.8475)	Prec@1 36.719 (32.765)	Prec@5 72.656 (62.822)
Epoch: [5][3630/14090]	Time 0.738 (0.752)	Data 0.001 (0.002)	Loss 2.6731 (2.8473)	Prec@1 35.156 (32.764)	Prec@5 64.844 (62.827)
Epoch: [5][3640/14090]	Time 0.782 (0.752)	Data 0.001 (0.002)	Loss 2.8839 (2.8474)	Prec@1 35.156 (32.766)	Prec@5 65.625 (62.826)
Epoch: [5][3650/14090]	Time 0.733 (0.752)	Data 0.001 (0.002)	Loss 2.8242 (2.8472)	Prec@1 36.719 (32.766)	Prec@5 67.188 (62.835)
Epoch: [5][3660/14090]	Time 0.744 (0.752)	Data 0.001 (0.002)	Loss 2.9036 (2.8471)	Prec@1 34.375 (32.767)	Prec@5 57.031 (62.837)
Epoch: [5][3670/14090]	Time 0.742 (0.752)	Data 0.001 (0.002)	Loss 3.2639 (2.8470)	Prec@1 31.250 (32.773)	Prec@5 57.812 (62.833)
Epoch: [5][3680/14090]	Time 0.750 (0.752)	Data 0.002 (0.002)	Loss 2.5371 (2.8470)	Prec@1 34.375 (32.770)	Prec@5 69.531 (62.834)
Epoch: [5][3690/14090]	Time 0.748 (0.752)	Data 0.001 (0.002)	Loss 2.8098 (2.8471)	Prec@1 40.625 (32.768)	Prec@5 62.500 (62.834)
Epoch: [5][3700/14090]	Time 0.728 (0.752)	Data 0.001 (0.002)	Loss 2.8865 (2.8473)	Prec@1 32.812 (32.766)	Prec@5 63.281 (62.828)
Epoch: [5][3710/14090]	Time 0.777 (0.751)	Data 0.001 (0.002)	Loss 2.8069 (2.8472)	Prec@1 32.812 (32.769)	Prec@5 60.938 (62.828)
Epoch: [5][3720/14090]	Time 0.783 (0.752)	Data 0.001 (0.002)	Loss 3.0924 (2.8473)	Prec@1 26.562 (32.760)	Prec@5 57.031 (62.822)
Epoch: [5][3730/14090]	Time 0.773 (0.752)	Data 0.001 (0.002)	Loss 2.8032 (2.8474)	Prec@1 32.031 (32.758)	Prec@5 64.844 (62.822)
Epoch: [5][3740/14090]	Time 0.747 (0.752)	Data 0.001 (0.002)	Loss 3.1470 (2.8476)	Prec@1 25.781 (32.754)	Prec@5 57.031 (62.819)
Epoch: [5][3750/14090]	Time 0.736 (0.752)	Data 0.002 (0.002)	Loss 2.8216 (2.8478)	Prec@1 33.594 (32.756)	Prec@5 60.938 (62.813)
Epoch: [5][3760/14090]	Time 0.797 (0.752)	Data 0.001 (0.002)	Loss 2.8613 (2.8476)	Prec@1 37.500 (32.757)	Prec@5 60.156 (62.816)
Epoch: [5][3770/14090]	Time 0.748 (0.752)	Data 0.001 (0.002)	Loss 2.7572 (2.8477)	Prec@1 35.156 (32.759)	Prec@5 64.844 (62.809)
Epoch: [5][3780/14090]	Time 0.736 (0.752)	Data 0.001 (0.002)	Loss 2.8062 (2.8477)	Prec@1 35.938 (32.759)	Prec@5 64.844 (62.810)
Epoch: [5][3790/14090]	Time 0.745 (0.752)	Data 0.001 (0.002)	Loss 2.7054 (2.8476)	Prec@1 35.938 (32.765)	Prec@5 64.062 (62.808)
Epoch: [5][3800/14090]	Time 0.751 (0.752)	Data 0.001 (0.002)	Loss 2.9254 (2.8475)	Prec@1 27.344 (32.767)	Prec@5 65.625 (62.814)
Epoch: [5][3810/14090]	Time 0.735 (0.752)	Data 0.001 (0.002)	Loss 3.2499 (2.8476)	Prec@1 25.000 (32.767)	Prec@5 57.031 (62.812)
Epoch: [5][3820/14090]	Time 0.767 (0.752)	Data 0.002 (0.002)	Loss 2.4436 (2.8477)	Prec@1 40.625 (32.764)	Prec@5 73.438 (62.811)
Epoch: [5][3830/14090]	Time 0.751 (0.752)	Data 0.001 (0.002)	Loss 2.5003 (2.8476)	Prec@1 37.500 (32.764)	Prec@5 72.656 (62.813)
Epoch: [5][3840/14090]	Time 0.769 (0.751)	Data 0.001 (0.002)	Loss 2.9254 (2.8477)	Prec@1 30.469 (32.766)	Prec@5 57.812 (62.809)
Epoch: [5][3850/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 2.8064 (2.8474)	Prec@1 36.719 (32.768)	Prec@5 61.719 (62.814)
Epoch: [5][3860/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 3.0235 (2.8475)	Prec@1 27.344 (32.768)	Prec@5 57.031 (62.810)
Epoch: [5][3870/14090]	Time 0.731 (0.751)	Data 0.001 (0.002)	Loss 2.5668 (2.8476)	Prec@1 35.156 (32.763)	Prec@5 66.406 (62.808)
Epoch: [5][3880/14090]	Time 0.748 (0.751)	Data 0.001 (0.002)	Loss 2.7650 (2.8476)	Prec@1 30.469 (32.760)	Prec@5 65.625 (62.809)
Epoch: [5][3890/14090]	Time 0.763 (0.751)	Data 0.002 (0.002)	Loss 3.0272 (2.8476)	Prec@1 31.250 (32.762)	Prec@5 58.594 (62.807)
Epoch: [5][3900/14090]	Time 0.732 (0.751)	Data 0.001 (0.002)	Loss 2.9575 (2.8478)	Prec@1 28.906 (32.757)	Prec@5 57.812 (62.798)
Epoch: [5][3910/14090]	Time 0.772 (0.751)	Data 0.001 (0.002)	Loss 2.6911 (2.8477)	Prec@1 36.719 (32.756)	Prec@5 66.406 (62.801)
Epoch: [5][3920/14090]	Time 0.745 (0.751)	Data 0.001 (0.002)	Loss 2.9474 (2.8478)	Prec@1 34.375 (32.750)	Prec@5 66.406 (62.805)
Epoch: [5][3930/14090]	Time 0.750 (0.751)	Data 0.001 (0.002)	Loss 3.0314 (2.8478)	Prec@1 29.688 (32.749)	Prec@5 58.594 (62.807)
Epoch: [5][3940/14090]	Time 0.748 (0.751)	Data 0.001 (0.002)	Loss 2.8206 (2.8478)	Prec@1 29.688 (32.750)	Prec@5 64.062 (62.808)
Epoch: [5][3950/14090]	Time 0.729 (0.751)	Data 0.001 (0.002)	Loss 3.0186 (2.8478)	Prec@1 32.812 (32.752)	Prec@5 60.156 (62.807)
Epoch: [5][3960/14090]	Time 0.755 (0.751)	Data 0.002 (0.002)	Loss 3.2171 (2.8479)	Prec@1 26.562 (32.749)	Prec@5 60.938 (62.807)
Epoch: [5][3970/14090]	Time 0.791 (0.751)	Data 0.001 (0.002)	Loss 2.9121 (2.8480)	Prec@1 30.469 (32.750)	Prec@5 62.500 (62.807)
Epoch: [5][3980/14090]	Time 0.733 (0.751)	Data 0.001 (0.002)	Loss 2.7417 (2.8478)	Prec@1 35.938 (32.752)	Prec@5 65.625 (62.809)
Epoch: [5][3990/14090]	Time 0.758 (0.751)	Data 0.001 (0.002)	Loss 3.0664 (2.8480)	Prec@1 29.688 (32.751)	Prec@5 61.719 (62.802)
Epoch: [5][4000/14090]	Time 0.727 (0.751)	Data 0.001 (0.002)	Loss 2.8818 (2.8484)	Prec@1 34.375 (32.747)	Prec@5 65.625 (62.794)
Epoch: [5][4010/14090]	Time 0.724 (0.751)	Data 0.001 (0.002)	Loss 2.6867 (2.8484)	Prec@1 38.281 (32.747)	Prec@5 63.281 (62.793)
Epoch: [5][4020/14090]	Time 0.740 (0.751)	Data 0.001 (0.002)	Loss 2.9912 (2.8485)	Prec@1 30.469 (32.745)	Prec@5 63.281 (62.793)
Epoch: [5][4030/14090]	Time 0.746 (0.751)	Data 0.002 (0.002)	Loss 2.5545 (2.8485)	Prec@1 35.938 (32.749)	Prec@5 64.062 (62.790)
Epoch: [5][4040/14090]	Time 0.729 (0.751)	Data 0.001 (0.002)	Loss 2.4811 (2.8482)	Prec@1 40.625 (32.754)	Prec@5 67.188 (62.795)
Epoch: [5][4050/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 2.8171 (2.8484)	Prec@1 29.688 (32.750)	Prec@5 69.531 (62.791)
Epoch: [5][4060/14090]	Time 0.770 (0.751)	Data 0.001 (0.002)	Loss 3.0631 (2.8483)	Prec@1 32.031 (32.750)	Prec@5 60.156 (62.793)
Epoch: [5][4070/14090]	Time 0.757 (0.751)	Data 0.001 (0.002)	Loss 3.0528 (2.8483)	Prec@1 31.250 (32.751)	Prec@5 63.281 (62.795)
Epoch: [5][4080/14090]	Time 0.786 (0.751)	Data 0.001 (0.002)	Loss 3.1103 (2.8484)	Prec@1 29.688 (32.748)	Prec@5 64.844 (62.792)
Epoch: [5][4090/14090]	Time 0.730 (0.751)	Data 0.001 (0.002)	Loss 2.5192 (2.8484)	Prec@1 35.156 (32.749)	Prec@5 68.750 (62.792)
Epoch: [5][4100/14090]	Time 0.741 (0.751)	Data 0.002 (0.002)	Loss 3.1290 (2.8484)	Prec@1 32.031 (32.753)	Prec@5 53.906 (62.791)
Epoch: [5][4110/14090]	Time 0.745 (0.751)	Data 0.001 (0.002)	Loss 2.6507 (2.8482)	Prec@1 34.375 (32.753)	Prec@5 69.531 (62.796)
Epoch: [5][4120/14090]	Time 0.735 (0.751)	Data 0.001 (0.002)	Loss 2.8933 (2.8483)	Prec@1 26.562 (32.746)	Prec@5 60.156 (62.792)
Epoch: [5][4130/14090]	Time 0.724 (0.751)	Data 0.001 (0.002)	Loss 2.9663 (2.8484)	Prec@1 33.594 (32.740)	Prec@5 61.719 (62.791)
Epoch: [5][4140/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 2.8569 (2.8484)	Prec@1 31.250 (32.742)	Prec@5 57.812 (62.789)
Epoch: [5][4150/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 3.0831 (2.8485)	Prec@1 29.688 (32.744)	Prec@5 57.031 (62.789)
Epoch: [5][4160/14090]	Time 0.737 (0.751)	Data 0.001 (0.002)	Loss 3.0072 (2.8485)	Prec@1 23.438 (32.737)	Prec@5 60.938 (62.792)
Epoch: [5][4170/14090]	Time 0.741 (0.751)	Data 0.002 (0.002)	Loss 2.9987 (2.8485)	Prec@1 31.250 (32.736)	Prec@5 57.031 (62.789)
Epoch: [5][4180/14090]	Time 0.758 (0.751)	Data 0.001 (0.002)	Loss 2.9055 (2.8486)	Prec@1 31.250 (32.734)	Prec@5 65.625 (62.789)
Epoch: [5][4190/14090]	Time 0.748 (0.751)	Data 0.001 (0.002)	Loss 2.9292 (2.8487)	Prec@1 32.812 (32.729)	Prec@5 57.812 (62.785)
Epoch: [5][4200/14090]	Time 0.744 (0.751)	Data 0.001 (0.002)	Loss 2.6877 (2.8487)	Prec@1 35.156 (32.730)	Prec@5 65.625 (62.786)
Epoch: [5][4210/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 2.9374 (2.8488)	Prec@1 34.375 (32.729)	Prec@5 60.938 (62.784)
Epoch: [5][4220/14090]	Time 0.728 (0.751)	Data 0.001 (0.002)	Loss 2.7124 (2.8486)	Prec@1 40.625 (32.736)	Prec@5 64.062 (62.789)
Epoch: [5][4230/14090]	Time 0.731 (0.751)	Data 0.001 (0.002)	Loss 3.1581 (2.8486)	Prec@1 25.781 (32.732)	Prec@5 53.125 (62.785)
Epoch: [5][4240/14090]	Time 0.772 (0.751)	Data 0.002 (0.002)	Loss 2.7792 (2.8487)	Prec@1 34.375 (32.728)	Prec@5 65.625 (62.782)
Epoch: [5][4250/14090]	Time 0.753 (0.751)	Data 0.001 (0.002)	Loss 2.9524 (2.8490)	Prec@1 34.375 (32.725)	Prec@5 60.938 (62.777)
Epoch: [5][4260/14090]	Time 0.740 (0.751)	Data 0.001 (0.002)	Loss 2.9832 (2.8492)	Prec@1 32.812 (32.721)	Prec@5 55.469 (62.773)
Epoch: [5][4270/14090]	Time 0.743 (0.751)	Data 0.001 (0.002)	Loss 2.8914 (2.8491)	Prec@1 33.594 (32.724)	Prec@5 62.500 (62.774)
Epoch: [5][4280/14090]	Time 0.758 (0.751)	Data 0.001 (0.002)	Loss 2.5534 (2.8492)	Prec@1 46.875 (32.721)	Prec@5 67.969 (62.773)
Epoch: [5][4290/14090]	Time 0.733 (0.751)	Data 0.001 (0.002)	Loss 2.9885 (2.8493)	Prec@1 29.688 (32.722)	Prec@5 57.812 (62.769)
Epoch: [5][4300/14090]	Time 0.751 (0.751)	Data 0.001 (0.002)	Loss 2.8460 (2.8491)	Prec@1 30.469 (32.729)	Prec@5 60.938 (62.778)
Epoch: [5][4310/14090]	Time 0.726 (0.751)	Data 0.002 (0.002)	Loss 2.9345 (2.8490)	Prec@1 32.812 (32.733)	Prec@5 62.500 (62.778)
Epoch: [5][4320/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 2.8468 (2.8491)	Prec@1 35.156 (32.735)	Prec@5 57.812 (62.776)
Epoch: [5][4330/14090]	Time 0.737 (0.751)	Data 0.001 (0.002)	Loss 3.1717 (2.8492)	Prec@1 25.781 (32.732)	Prec@5 58.594 (62.773)
Epoch: [5][4340/14090]	Time 0.782 (0.751)	Data 0.001 (0.002)	Loss 2.9943 (2.8493)	Prec@1 32.812 (32.734)	Prec@5 57.812 (62.771)
Epoch: [5][4350/14090]	Time 0.734 (0.751)	Data 0.001 (0.002)	Loss 3.1045 (2.8495)	Prec@1 25.000 (32.727)	Prec@5 59.375 (62.768)
Epoch: [5][4360/14090]	Time 0.781 (0.751)	Data 0.001 (0.002)	Loss 2.8346 (2.8495)	Prec@1 31.250 (32.725)	Prec@5 64.844 (62.765)
Epoch: [5][4370/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 2.6068 (2.8494)	Prec@1 35.938 (32.726)	Prec@5 71.094 (62.770)
Epoch: [5][4380/14090]	Time 0.739 (0.751)	Data 0.002 (0.002)	Loss 2.4937 (2.8492)	Prec@1 40.625 (32.732)	Prec@5 72.656 (62.772)
Epoch: [5][4390/14090]	Time 0.748 (0.751)	Data 0.001 (0.002)	Loss 2.8695 (2.8493)	Prec@1 35.156 (32.733)	Prec@5 71.094 (62.774)
Epoch: [5][4400/14090]	Time 0.773 (0.751)	Data 0.001 (0.002)	Loss 2.6160 (2.8494)	Prec@1 37.500 (32.730)	Prec@5 67.188 (62.769)
Epoch: [5][4410/14090]	Time 0.768 (0.751)	Data 0.001 (0.002)	Loss 3.0681 (2.8496)	Prec@1 30.469 (32.724)	Prec@5 60.156 (62.766)
Epoch: [5][4420/14090]	Time 0.758 (0.751)	Data 0.001 (0.002)	Loss 2.9080 (2.8496)	Prec@1 26.562 (32.727)	Prec@5 59.375 (62.767)
Epoch: [5][4430/14090]	Time 0.772 (0.751)	Data 0.001 (0.002)	Loss 2.9943 (2.8495)	Prec@1 29.688 (32.729)	Prec@5 58.594 (62.766)
Epoch: [5][4440/14090]	Time 0.735 (0.751)	Data 0.001 (0.002)	Loss 2.8365 (2.8497)	Prec@1 37.500 (32.727)	Prec@5 64.062 (62.762)
Epoch: [5][4450/14090]	Time 0.747 (0.751)	Data 0.002 (0.002)	Loss 2.9033 (2.8496)	Prec@1 32.031 (32.725)	Prec@5 61.719 (62.765)
Epoch: [5][4460/14090]	Time 0.745 (0.751)	Data 0.001 (0.002)	Loss 2.8541 (2.8496)	Prec@1 36.719 (32.727)	Prec@5 64.062 (62.764)
Epoch: [5][4470/14090]	Time 0.727 (0.751)	Data 0.001 (0.002)	Loss 2.6561 (2.8497)	Prec@1 39.844 (32.728)	Prec@5 66.406 (62.761)
Epoch: [5][4480/14090]	Time 0.760 (0.751)	Data 0.001 (0.002)	Loss 2.8555 (2.8497)	Prec@1 34.375 (32.727)	Prec@5 62.500 (62.759)
Epoch: [5][4490/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 2.8369 (2.8496)	Prec@1 37.500 (32.728)	Prec@5 66.406 (62.763)
Epoch: [5][4500/14090]	Time 0.752 (0.751)	Data 0.001 (0.002)	Loss 3.0673 (2.8496)	Prec@1 30.469 (32.726)	Prec@5 57.031 (62.762)
Epoch: [5][4510/14090]	Time 0.736 (0.751)	Data 0.001 (0.002)	Loss 2.7462 (2.8497)	Prec@1 35.938 (32.724)	Prec@5 68.750 (62.762)
Epoch: [5][4520/14090]	Time 0.749 (0.751)	Data 0.002 (0.002)	Loss 2.7848 (2.8500)	Prec@1 32.031 (32.719)	Prec@5 64.844 (62.756)
Epoch: [5][4530/14090]	Time 0.734 (0.751)	Data 0.001 (0.002)	Loss 2.7405 (2.8501)	Prec@1 35.156 (32.719)	Prec@5 64.062 (62.755)
Epoch: [5][4540/14090]	Time 0.745 (0.751)	Data 0.001 (0.002)	Loss 2.9466 (2.8501)	Prec@1 29.688 (32.714)	Prec@5 60.938 (62.756)
Epoch: [5][4550/14090]	Time 0.759 (0.751)	Data 0.001 (0.002)	Loss 2.9525 (2.8503)	Prec@1 32.812 (32.711)	Prec@5 60.938 (62.751)
Epoch: [5][4560/14090]	Time 0.731 (0.751)	Data 0.001 (0.002)	Loss 2.6766 (2.8501)	Prec@1 41.406 (32.716)	Prec@5 64.062 (62.754)
Epoch: [5][4570/14090]	Time 0.735 (0.751)	Data 0.001 (0.002)	Loss 2.8938 (2.8503)	Prec@1 32.031 (32.716)	Prec@5 64.844 (62.753)
Epoch: [5][4580/14090]	Time 0.794 (0.751)	Data 0.001 (0.002)	Loss 3.0529 (2.8504)	Prec@1 34.375 (32.716)	Prec@5 59.375 (62.750)
Epoch: [5][4590/14090]	Time 0.734 (0.751)	Data 0.002 (0.002)	Loss 2.7950 (2.8502)	Prec@1 35.156 (32.721)	Prec@5 64.844 (62.757)
Epoch: [5][4600/14090]	Time 0.762 (0.751)	Data 0.001 (0.002)	Loss 2.8299 (2.8501)	Prec@1 34.375 (32.719)	Prec@5 62.500 (62.758)
Epoch: [5][4610/14090]	Time 0.735 (0.751)	Data 0.001 (0.002)	Loss 2.9196 (2.8500)	Prec@1 28.906 (32.720)	Prec@5 64.062 (62.758)
Epoch: [5][4620/14090]	Time 0.777 (0.751)	Data 0.001 (0.002)	Loss 2.6912 (2.8501)	Prec@1 36.719 (32.717)	Prec@5 70.312 (62.760)
Epoch: [5][4630/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 2.8531 (2.8504)	Prec@1 31.250 (32.715)	Prec@5 61.719 (62.756)
Epoch: [5][4640/14090]	Time 0.749 (0.751)	Data 0.001 (0.002)	Loss 2.7154 (2.8504)	Prec@1 35.156 (32.715)	Prec@5 66.406 (62.755)
Epoch: [5][4650/14090]	Time 0.749 (0.751)	Data 0.001 (0.002)	Loss 2.7477 (2.8505)	Prec@1 27.344 (32.713)	Prec@5 65.625 (62.751)
Epoch: [5][4660/14090]	Time 0.739 (0.751)	Data 0.002 (0.002)	Loss 2.6354 (2.8504)	Prec@1 38.281 (32.715)	Prec@5 67.188 (62.754)
Epoch: [5][4670/14090]	Time 0.779 (0.751)	Data 0.001 (0.002)	Loss 2.7714 (2.8505)	Prec@1 35.156 (32.716)	Prec@5 64.062 (62.750)
Epoch: [5][4680/14090]	Time 0.743 (0.751)	Data 0.001 (0.002)	Loss 2.7675 (2.8505)	Prec@1 39.844 (32.715)	Prec@5 67.969 (62.751)
Epoch: [5][4690/14090]	Time 0.724 (0.751)	Data 0.001 (0.002)	Loss 3.0053 (2.8505)	Prec@1 27.344 (32.714)	Prec@5 53.906 (62.751)
Epoch: [5][4700/14090]	Time 0.764 (0.751)	Data 0.001 (0.002)	Loss 2.9327 (2.8503)	Prec@1 29.688 (32.714)	Prec@5 62.500 (62.753)
Epoch: [5][4710/14090]	Time 0.766 (0.751)	Data 0.001 (0.002)	Loss 2.9391 (2.8503)	Prec@1 31.250 (32.714)	Prec@5 60.156 (62.757)
Epoch: [5][4720/14090]	Time 0.746 (0.751)	Data 0.001 (0.002)	Loss 2.6963 (2.8502)	Prec@1 35.938 (32.716)	Prec@5 64.062 (62.754)
Epoch: [5][4730/14090]	Time 0.779 (0.751)	Data 0.002 (0.002)	Loss 2.7551 (2.8501)	Prec@1 32.031 (32.719)	Prec@5 62.500 (62.754)
Epoch: [5][4740/14090]	Time 0.748 (0.751)	Data 0.001 (0.002)	Loss 2.8807 (2.8501)	Prec@1 29.688 (32.718)	Prec@5 63.281 (62.754)
Epoch: [5][4750/14090]	Time 0.729 (0.751)	Data 0.001 (0.002)	Loss 2.8041 (2.8501)	Prec@1 32.031 (32.717)	Prec@5 63.281 (62.756)
Epoch: [5][4760/14090]	Time 0.766 (0.751)	Data 0.001 (0.002)	Loss 2.5989 (2.8499)	Prec@1 39.844 (32.718)	Prec@5 70.312 (62.756)
Epoch: [5][4770/14090]	Time 0.749 (0.751)	Data 0.001 (0.002)	Loss 2.6534 (2.8498)	Prec@1 35.156 (32.718)	Prec@5 65.625 (62.757)
Epoch: [5][4780/14090]	Time 0.731 (0.751)	Data 0.001 (0.002)	Loss 2.7225 (2.8499)	Prec@1 33.594 (32.716)	Prec@5 67.188 (62.756)
Epoch: [5][4790/14090]	Time 0.752 (0.751)	Data 0.001 (0.002)	Loss 3.1403 (2.8500)	Prec@1 29.688 (32.712)	Prec@5 56.250 (62.753)
Epoch: [5][4800/14090]	Time 0.732 (0.751)	Data 0.002 (0.002)	Loss 2.8894 (2.8502)	Prec@1 33.594 (32.708)	Prec@5 60.938 (62.749)
Epoch: [5][4810/14090]	Time 0.765 (0.751)	Data 0.001 (0.002)	Loss 3.0594 (2.8502)	Prec@1 27.344 (32.709)	Prec@5 62.500 (62.749)
Epoch: [5][4820/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 3.1075 (2.8502)	Prec@1 29.688 (32.707)	Prec@5 57.812 (62.749)
Epoch: [5][4830/14090]	Time 0.740 (0.751)	Data 0.001 (0.002)	Loss 2.8411 (2.8501)	Prec@1 39.844 (32.712)	Prec@5 65.625 (62.752)
Epoch: [5][4840/14090]	Time 0.780 (0.751)	Data 0.001 (0.002)	Loss 2.9460 (2.8500)	Prec@1 32.812 (32.715)	Prec@5 61.719 (62.754)
Epoch: [5][4850/14090]	Time 0.748 (0.751)	Data 0.001 (0.002)	Loss 2.7825 (2.8499)	Prec@1 35.156 (32.717)	Prec@5 61.719 (62.754)
Epoch: [5][4860/14090]	Time 0.772 (0.751)	Data 0.001 (0.002)	Loss 3.1194 (2.8499)	Prec@1 26.562 (32.716)	Prec@5 57.031 (62.755)
Epoch: [5][4870/14090]	Time 0.720 (0.751)	Data 0.002 (0.002)	Loss 2.6361 (2.8498)	Prec@1 39.062 (32.717)	Prec@5 67.969 (62.753)
Epoch: [5][4880/14090]	Time 0.746 (0.751)	Data 0.001 (0.002)	Loss 3.2242 (2.8499)	Prec@1 29.688 (32.714)	Prec@5 57.812 (62.752)
Epoch: [5][4890/14090]	Time 0.753 (0.751)	Data 0.001 (0.002)	Loss 2.5959 (2.8498)	Prec@1 39.844 (32.718)	Prec@5 67.969 (62.753)
Epoch: [5][4900/14090]	Time 0.743 (0.751)	Data 0.001 (0.002)	Loss 2.9669 (2.8499)	Prec@1 27.344 (32.716)	Prec@5 60.156 (62.752)
Epoch: [5][4910/14090]	Time 0.731 (0.751)	Data 0.001 (0.002)	Loss 3.0102 (2.8499)	Prec@1 30.469 (32.713)	Prec@5 60.938 (62.752)
Epoch: [5][4920/14090]	Time 0.750 (0.751)	Data 0.001 (0.002)	Loss 3.1123 (2.8501)	Prec@1 28.906 (32.705)	Prec@5 56.250 (62.749)
Epoch: [5][4930/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 2.4619 (2.8502)	Prec@1 41.406 (32.705)	Prec@5 68.750 (62.744)
Epoch: [5][4940/14090]	Time 0.790 (0.751)	Data 0.001 (0.002)	Loss 2.7039 (2.8503)	Prec@1 35.938 (32.705)	Prec@5 65.625 (62.743)
Epoch: [5][4950/14090]	Time 0.786 (0.751)	Data 0.001 (0.002)	Loss 2.8247 (2.8502)	Prec@1 34.375 (32.704)	Prec@5 61.719 (62.743)
Epoch: [5][4960/14090]	Time 0.749 (0.751)	Data 0.001 (0.002)	Loss 3.2271 (2.8502)	Prec@1 28.125 (32.704)	Prec@5 55.469 (62.745)
Epoch: [5][4970/14090]	Time 0.721 (0.751)	Data 0.001 (0.002)	Loss 2.7615 (2.8503)	Prec@1 33.594 (32.699)	Prec@5 67.969 (62.745)
Epoch: [5][4980/14090]	Time 0.756 (0.751)	Data 0.001 (0.002)	Loss 2.7646 (2.8503)	Prec@1 31.250 (32.701)	Prec@5 70.312 (62.744)
Epoch: [5][4990/14090]	Time 0.759 (0.751)	Data 0.001 (0.002)	Loss 3.0149 (2.8503)	Prec@1 26.562 (32.700)	Prec@5 62.500 (62.748)
Epoch: [5][5000/14090]	Time 0.770 (0.751)	Data 0.001 (0.002)	Loss 3.0714 (2.8505)	Prec@1 28.906 (32.696)	Prec@5 62.500 (62.748)
Epoch: [5][5010/14090]	Time 0.777 (0.751)	Data 0.002 (0.002)	Loss 2.6649 (2.8505)	Prec@1 34.375 (32.694)	Prec@5 60.938 (62.744)
Epoch: [5][5020/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 3.3603 (2.8507)	Prec@1 26.562 (32.692)	Prec@5 55.469 (62.741)
Epoch: [5][5030/14090]	Time 0.734 (0.751)	Data 0.001 (0.002)	Loss 2.3994 (2.8505)	Prec@1 38.281 (32.697)	Prec@5 72.656 (62.744)
Epoch: [5][5040/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 3.0597 (2.8506)	Prec@1 25.781 (32.693)	Prec@5 63.281 (62.743)
Epoch: [5][5050/14090]	Time 0.761 (0.751)	Data 0.001 (0.002)	Loss 2.6084 (2.8504)	Prec@1 28.906 (32.695)	Prec@5 68.750 (62.748)
Epoch: [5][5060/14090]	Time 0.760 (0.751)	Data 0.001 (0.002)	Loss 2.8179 (2.8504)	Prec@1 35.156 (32.695)	Prec@5 64.062 (62.750)
Epoch: [5][5070/14090]	Time 0.738 (0.751)	Data 0.001 (0.002)	Loss 2.8600 (2.8504)	Prec@1 25.000 (32.696)	Prec@5 60.156 (62.749)
Epoch: [5][5080/14090]	Time 0.778 (0.751)	Data 0.002 (0.002)	Loss 2.9224 (2.8504)	Prec@1 29.688 (32.695)	Prec@5 60.938 (62.748)
Epoch: [5][5090/14090]	Time 0.772 (0.751)	Data 0.001 (0.002)	Loss 2.9871 (2.8503)	Prec@1 32.031 (32.697)	Prec@5 65.625 (62.749)
Epoch: [5][5100/14090]	Time 0.761 (0.751)	Data 0.001 (0.002)	Loss 2.8187 (2.8504)	Prec@1 26.562 (32.694)	Prec@5 67.188 (62.748)
Epoch: [5][5110/14090]	Time 0.746 (0.751)	Data 0.001 (0.002)	Loss 2.8281 (2.8503)	Prec@1 34.375 (32.697)	Prec@5 57.812 (62.749)
Epoch: [5][5120/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 2.8155 (2.8502)	Prec@1 33.594 (32.698)	Prec@5 64.844 (62.749)
Epoch: [5][5130/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 2.6743 (2.8501)	Prec@1 35.156 (32.699)	Prec@5 67.188 (62.750)
Epoch: [5][5140/14090]	Time 0.725 (0.751)	Data 0.001 (0.002)	Loss 2.7652 (2.8500)	Prec@1 35.156 (32.700)	Prec@5 67.969 (62.754)
Epoch: [5][5150/14090]	Time 0.779 (0.751)	Data 0.002 (0.002)	Loss 2.7054 (2.8501)	Prec@1 36.719 (32.697)	Prec@5 67.188 (62.751)
Epoch: [5][5160/14090]	Time 0.738 (0.751)	Data 0.001 (0.002)	Loss 3.0243 (2.8503)	Prec@1 30.469 (32.695)	Prec@5 66.406 (62.749)
Epoch: [5][5170/14090]	Time 0.744 (0.751)	Data 0.001 (0.002)	Loss 2.8142 (2.8503)	Prec@1 35.938 (32.695)	Prec@5 63.281 (62.752)
Epoch: [5][5180/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 2.8974 (2.8502)	Prec@1 31.250 (32.692)	Prec@5 63.281 (62.756)
Epoch: [5][5190/14090]	Time 0.757 (0.751)	Data 0.001 (0.002)	Loss 2.5991 (2.8501)	Prec@1 32.812 (32.693)	Prec@5 68.750 (62.758)
Epoch: [5][5200/14090]	Time 0.733 (0.751)	Data 0.001 (0.002)	Loss 2.8760 (2.8502)	Prec@1 29.688 (32.689)	Prec@5 58.594 (62.757)
Epoch: [5][5210/14090]	Time 0.751 (0.751)	Data 0.001 (0.002)	Loss 2.9449 (2.8502)	Prec@1 31.250 (32.689)	Prec@5 59.375 (62.758)
Epoch: [5][5220/14090]	Time 0.737 (0.751)	Data 0.001 (0.002)	Loss 2.9351 (2.8503)	Prec@1 31.250 (32.688)	Prec@5 59.375 (62.756)
Epoch: [5][5230/14090]	Time 0.765 (0.751)	Data 0.001 (0.002)	Loss 2.8551 (2.8504)	Prec@1 29.688 (32.689)	Prec@5 57.031 (62.756)
Epoch: [5][5240/14090]	Time 0.737 (0.751)	Data 0.001 (0.002)	Loss 2.9055 (2.8503)	Prec@1 34.375 (32.691)	Prec@5 65.625 (62.756)
Epoch: [5][5250/14090]	Time 0.761 (0.751)	Data 0.001 (0.002)	Loss 2.5095 (2.8503)	Prec@1 37.500 (32.689)	Prec@5 71.094 (62.755)
Epoch: [5][5260/14090]	Time 0.761 (0.751)	Data 0.001 (0.002)	Loss 2.5470 (2.8504)	Prec@1 35.938 (32.689)	Prec@5 65.625 (62.754)
Epoch: [5][5270/14090]	Time 0.752 (0.751)	Data 0.001 (0.002)	Loss 2.9163 (2.8503)	Prec@1 31.250 (32.691)	Prec@5 56.250 (62.755)
Epoch: [5][5280/14090]	Time 0.770 (0.751)	Data 0.001 (0.002)	Loss 2.9689 (2.8504)	Prec@1 30.469 (32.690)	Prec@5 60.938 (62.753)
Epoch: [5][5290/14090]	Time 0.741 (0.751)	Data 0.002 (0.002)	Loss 2.8451 (2.8503)	Prec@1 36.719 (32.695)	Prec@5 55.469 (62.757)
Epoch: [5][5300/14090]	Time 0.724 (0.751)	Data 0.001 (0.002)	Loss 3.1852 (2.8504)	Prec@1 28.125 (32.694)	Prec@5 53.906 (62.751)
Epoch: [5][5310/14090]	Time 0.731 (0.751)	Data 0.001 (0.002)	Loss 2.6585 (2.8505)	Prec@1 39.062 (32.694)	Prec@5 67.969 (62.749)
Epoch: [5][5320/14090]	Time 0.763 (0.751)	Data 0.001 (0.002)	Loss 2.7833 (2.8504)	Prec@1 34.375 (32.696)	Prec@5 65.625 (62.753)
Epoch: [5][5330/14090]	Time 0.776 (0.751)	Data 0.001 (0.002)	Loss 2.6465 (2.8502)	Prec@1 39.844 (32.702)	Prec@5 65.625 (62.757)
Epoch: [5][5340/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 2.5656 (2.8503)	Prec@1 37.500 (32.700)	Prec@5 64.062 (62.755)
Epoch: [5][5350/14090]	Time 0.778 (0.751)	Data 0.001 (0.002)	Loss 2.7419 (2.8502)	Prec@1 39.062 (32.702)	Prec@5 64.844 (62.755)
Epoch: [5][5360/14090]	Time 0.738 (0.751)	Data 0.002 (0.002)	Loss 3.0624 (2.8503)	Prec@1 32.031 (32.702)	Prec@5 55.469 (62.753)
Epoch: [5][5370/14090]	Time 0.748 (0.751)	Data 0.001 (0.002)	Loss 2.5929 (2.8502)	Prec@1 38.281 (32.705)	Prec@5 70.312 (62.755)
Epoch: [5][5380/14090]	Time 0.744 (0.751)	Data 0.001 (0.002)	Loss 2.9217 (2.8502)	Prec@1 28.125 (32.705)	Prec@5 63.281 (62.751)
Epoch: [5][5390/14090]	Time 0.772 (0.751)	Data 0.001 (0.002)	Loss 2.8189 (2.8501)	Prec@1 32.031 (32.707)	Prec@5 60.938 (62.753)
Epoch: [5][5400/14090]	Time 0.752 (0.751)	Data 0.001 (0.002)	Loss 2.7455 (2.8499)	Prec@1 35.938 (32.708)	Prec@5 64.062 (62.756)
Epoch: [5][5410/14090]	Time 0.733 (0.751)	Data 0.001 (0.002)	Loss 2.5858 (2.8497)	Prec@1 35.938 (32.715)	Prec@5 67.188 (62.760)
Epoch: [5][5420/14090]	Time 0.756 (0.751)	Data 0.001 (0.002)	Loss 2.8820 (2.8496)	Prec@1 31.250 (32.718)	Prec@5 57.031 (62.763)
Epoch: [5][5430/14090]	Time 0.733 (0.751)	Data 0.002 (0.002)	Loss 2.9358 (2.8498)	Prec@1 32.031 (32.715)	Prec@5 61.719 (62.758)
Epoch: [5][5440/14090]	Time 0.750 (0.751)	Data 0.001 (0.002)	Loss 2.8770 (2.8497)	Prec@1 35.156 (32.716)	Prec@5 60.938 (62.760)
Epoch: [5][5450/14090]	Time 0.725 (0.751)	Data 0.001 (0.002)	Loss 2.7900 (2.8497)	Prec@1 32.812 (32.716)	Prec@5 63.281 (62.759)
Epoch: [5][5460/14090]	Time 0.738 (0.751)	Data 0.001 (0.002)	Loss 2.8351 (2.8496)	Prec@1 33.594 (32.720)	Prec@5 63.281 (62.761)
Epoch: [5][5470/14090]	Time 0.749 (0.751)	Data 0.001 (0.002)	Loss 3.1158 (2.8496)	Prec@1 24.219 (32.720)	Prec@5 53.906 (62.763)
Epoch: [5][5480/14090]	Time 0.788 (0.751)	Data 0.001 (0.002)	Loss 2.7883 (2.8497)	Prec@1 33.594 (32.717)	Prec@5 60.156 (62.758)
Epoch: [5][5490/14090]	Time 0.744 (0.751)	Data 0.001 (0.002)	Loss 2.6039 (2.8496)	Prec@1 35.938 (32.720)	Prec@5 68.750 (62.758)
Epoch: [5][5500/14090]	Time 0.773 (0.751)	Data 0.002 (0.002)	Loss 2.7268 (2.8496)	Prec@1 32.031 (32.722)	Prec@5 64.062 (62.760)
Epoch: [5][5510/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 3.0205 (2.8496)	Prec@1 34.375 (32.725)	Prec@5 57.812 (62.760)
Epoch: [5][5520/14090]	Time 0.728 (0.751)	Data 0.001 (0.002)	Loss 3.0785 (2.8496)	Prec@1 28.125 (32.725)	Prec@5 58.594 (62.760)
Epoch: [5][5530/14090]	Time 0.774 (0.751)	Data 0.001 (0.002)	Loss 2.8679 (2.8495)	Prec@1 30.469 (32.727)	Prec@5 66.406 (62.763)
Epoch: [5][5540/14090]	Time 0.742 (0.751)	Data 0.001 (0.002)	Loss 2.7090 (2.8494)	Prec@1 35.156 (32.728)	Prec@5 64.844 (62.765)
Epoch: [5][5550/14090]	Time 0.775 (0.751)	Data 0.001 (0.002)	Loss 3.2363 (2.8495)	Prec@1 27.344 (32.728)	Prec@5 55.469 (62.765)
Epoch: [5][5560/14090]	Time 0.787 (0.751)	Data 0.001 (0.002)	Loss 2.7130 (2.8494)	Prec@1 33.594 (32.727)	Prec@5 65.625 (62.765)
Epoch: [5][5570/14090]	Time 0.741 (0.751)	Data 0.001 (0.002)	Loss 3.0325 (2.8494)	Prec@1 28.125 (32.728)	Prec@5 57.812 (62.764)
Epoch: [5][5580/14090]	Time 0.744 (0.751)	Data 0.001 (0.002)	Loss 2.7996 (2.8495)	Prec@1 36.719 (32.727)	Prec@5 64.844 (62.762)
Epoch: [5][5590/14090]	Time 0.737 (0.751)	Data 0.001 (0.002)	Loss 3.3661 (2.8496)	Prec@1 28.125 (32.727)	Prec@5 55.469 (62.760)
Epoch: [5][5600/14090]	Time 0.778 (0.751)	Data 0.001 (0.002)	Loss 3.1753 (2.8495)	Prec@1 20.312 (32.729)	Prec@5 60.156 (62.761)
Epoch: [5][5610/14090]	Time 0.731 (0.751)	Data 0.001 (0.002)	Loss 2.8691 (2.8494)	Prec@1 34.375 (32.729)	Prec@5 64.844 (62.765)
Epoch: [5][5620/14090]	Time 0.776 (0.751)	Data 0.001 (0.002)	Loss 3.1509 (2.8495)	Prec@1 30.469 (32.730)	Prec@5 53.125 (62.765)
Epoch: [5][5630/14090]	Time 0.751 (0.751)	Data 0.001 (0.002)	Loss 2.9090 (2.8496)	Prec@1 31.250 (32.728)	Prec@5 53.906 (62.763)
Epoch: [5][5640/14090]	Time 0.729 (0.751)	Data 0.002 (0.002)	Loss 2.7456 (2.8495)	Prec@1 37.500 (32.732)	Prec@5 63.281 (62.763)
Epoch: [5][5650/14090]	Time 0.770 (0.751)	Data 0.001 (0.002)	Loss 2.8444 (2.8495)	Prec@1 33.594 (32.729)	Prec@5 64.062 (62.762)
Epoch: [5][5660/14090]	Time 0.765 (0.751)	Data 0.001 (0.002)	Loss 2.9331 (2.8492)	Prec@1 34.375 (32.734)	Prec@5 61.719 (62.768)
Epoch: [5][5670/14090]	Time 0.737 (0.751)	Data 0.001 (0.002)	Loss 2.7140 (2.8491)	Prec@1 36.719 (32.736)	Prec@5 62.500 (62.774)
Epoch: [5][5680/14090]	Time 0.775 (0.751)	Data 0.001 (0.002)	Loss 2.7926 (2.8492)	Prec@1 35.156 (32.735)	Prec@5 64.062 (62.773)
Epoch: [5][5690/14090]	Time 0.758 (0.751)	Data 0.001 (0.002)	Loss 3.1162 (2.8493)	Prec@1 34.375 (32.735)	Prec@5 58.594 (62.771)
Epoch: [5][5700/14090]	Time 0.750 (0.751)	Data 0.001 (0.002)	Loss 2.5219 (2.8493)	Prec@1 39.062 (32.735)	Prec@5 71.094 (62.772)
Epoch: [5][5710/14090]	Time 0.745 (0.751)	Data 0.002 (0.002)	Loss 2.7763 (2.8493)	Prec@1 37.500 (32.735)	Prec@5 64.062 (62.769)
Epoch: [5][5720/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 2.9699 (2.8491)	Prec@1 29.688 (32.738)	Prec@5 57.031 (62.772)
Epoch: [5][5730/14090]	Time 0.760 (0.751)	Data 0.001 (0.002)	Loss 3.0143 (2.8493)	Prec@1 26.562 (32.733)	Prec@5 59.375 (62.771)
Epoch: [5][5740/14090]	Time 0.762 (0.751)	Data 0.001 (0.002)	Loss 2.5838 (2.8491)	Prec@1 38.281 (32.735)	Prec@5 67.969 (62.774)
Epoch: [5][5750/14090]	Time 0.749 (0.751)	Data 0.001 (0.002)	Loss 2.8080 (2.8493)	Prec@1 35.156 (32.730)	Prec@5 63.281 (62.772)
Epoch: [5][5760/14090]	Time 0.771 (0.751)	Data 0.001 (0.002)	Loss 2.8067 (2.8492)	Prec@1 39.062 (32.733)	Prec@5 63.281 (62.776)
Epoch: [5][5770/14090]	Time 0.732 (0.751)	Data 0.001 (0.002)	Loss 3.0651 (2.8490)	Prec@1 35.156 (32.738)	Prec@5 60.156 (62.783)
Epoch: [5][5780/14090]	Time 0.755 (0.751)	Data 0.002 (0.002)	Loss 2.7533 (2.8491)	Prec@1 27.344 (32.735)	Prec@5 64.062 (62.782)
Epoch: [5][5790/14090]	Time 0.734 (0.751)	Data 0.001 (0.002)	Loss 3.0703 (2.8491)	Prec@1 30.469 (32.735)	Prec@5 58.594 (62.783)
Epoch: [5][5800/14090]	Time 0.764 (0.751)	Data 0.001 (0.002)	Loss 2.7484 (2.8491)	Prec@1 35.938 (32.734)	Prec@5 64.844 (62.786)
Epoch: [5][5810/14090]	Time 0.751 (0.751)	Data 0.001 (0.002)	Loss 2.6977 (2.8491)	Prec@1 28.125 (32.731)	Prec@5 67.969 (62.785)
Epoch: [5][5820/14090]	Time 0.725 (0.751)	Data 0.001 (0.002)	Loss 2.6179 (2.8493)	Prec@1 38.281 (32.730)	Prec@5 69.531 (62.783)
Epoch: [5][5830/14090]	Time 0.764 (0.751)	Data 0.001 (0.002)	Loss 2.7501 (2.8493)	Prec@1 40.625 (32.726)	Prec@5 67.969 (62.785)
Epoch: [5][5840/14090]	Time 0.743 (0.751)	Data 0.001 (0.002)	Loss 2.5959 (2.8493)	Prec@1 38.281 (32.725)	Prec@5 67.969 (62.786)
Epoch: [5][5850/14090]	Time 0.738 (0.751)	Data 0.002 (0.002)	Loss 2.8960 (2.8493)	Prec@1 33.594 (32.722)	Prec@5 64.844 (62.784)
Epoch: [5][5860/14090]	Time 0.725 (0.751)	Data 0.001 (0.002)	Loss 2.9252 (2.8494)	Prec@1 33.594 (32.722)	Prec@5 58.594 (62.784)
Epoch: [5][5870/14090]	Time 0.750 (0.751)	Data 0.001 (0.002)	Loss 2.9310 (2.8495)	Prec@1 29.688 (32.720)	Prec@5 61.719 (62.779)
Epoch: [5][5880/14090]	Time 0.778 (0.751)	Data 0.001 (0.002)	Loss 2.7972 (2.8497)	Prec@1 37.500 (32.716)	Prec@5 64.062 (62.773)
Epoch: [5][5890/14090]	Time 0.728 (0.751)	Data 0.001 (0.002)	Loss 2.7485 (2.8495)	Prec@1 35.156 (32.721)	Prec@5 65.625 (62.775)
Epoch: [5][5900/14090]	Time 0.735 (0.751)	Data 0.001 (0.002)	Loss 3.0304 (2.8495)	Prec@1 33.594 (32.721)	Prec@5 66.406 (62.774)
Epoch: [5][5910/14090]	Time 0.766 (0.751)	Data 0.001 (0.002)	Loss 3.0792 (2.8496)	Prec@1 29.688 (32.719)	Prec@5 60.156 (62.771)
Epoch: [5][5920/14090]	Time 0.753 (0.751)	Data 0.002 (0.002)	Loss 2.8547 (2.8495)	Prec@1 28.125 (32.719)	Prec@5 62.500 (62.774)
Epoch: [5][5930/14090]	Time 0.768 (0.751)	Data 0.001 (0.002)	Loss 2.7313 (2.8493)	Prec@1 36.719 (32.721)	Prec@5 64.062 (62.778)
Epoch: [5][5940/14090]	Time 0.736 (0.751)	Data 0.001 (0.002)	Loss 2.6169 (2.8493)	Prec@1 33.594 (32.719)	Prec@5 67.969 (62.779)
Epoch: [5][5950/14090]	Time 0.737 (0.751)	Data 0.001 (0.002)	Loss 2.8197 (2.8492)	Prec@1 31.250 (32.719)	Prec@5 61.719 (62.778)
Epoch: [5][5960/14090]	Time 0.805 (0.751)	Data 0.001 (0.002)	Loss 3.0281 (2.8491)	Prec@1 28.906 (32.722)	Prec@5 55.469 (62.782)
Epoch: [5][5970/14090]	Time 0.737 (0.751)	Data 0.001 (0.002)	Loss 2.7177 (2.8491)	Prec@1 34.375 (32.720)	Prec@5 64.844 (62.783)
Epoch: [5][5980/14090]	Time 0.764 (0.751)	Data 0.001 (0.002)	Loss 2.6361 (2.8491)	Prec@1 35.938 (32.721)	Prec@5 67.969 (62.783)
Epoch: [5][5990/14090]	Time 0.748 (0.751)	Data 0.002 (0.002)	Loss 2.7481 (2.8492)	Prec@1 36.719 (32.723)	Prec@5 67.969 (62.784)
Epoch: [5][6000/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 3.0012 (2.8492)	Prec@1 31.250 (32.724)	Prec@5 59.375 (62.782)
Epoch: [5][6010/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 2.8208 (2.8493)	Prec@1 33.594 (32.722)	Prec@5 64.844 (62.779)
Epoch: [5][6020/14090]	Time 0.740 (0.751)	Data 0.001 (0.001)	Loss 2.9002 (2.8493)	Prec@1 30.469 (32.725)	Prec@5 66.406 (62.780)
Epoch: [5][6030/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 2.7905 (2.8493)	Prec@1 31.250 (32.724)	Prec@5 63.281 (62.783)
Epoch: [5][6040/14090]	Time 0.778 (0.751)	Data 0.001 (0.001)	Loss 2.7619 (2.8493)	Prec@1 34.375 (32.724)	Prec@5 64.844 (62.783)
Epoch: [5][6050/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 2.9487 (2.8494)	Prec@1 31.250 (32.722)	Prec@5 63.281 (62.779)
Epoch: [5][6060/14090]	Time 0.754 (0.751)	Data 0.002 (0.001)	Loss 3.0789 (2.8493)	Prec@1 27.344 (32.722)	Prec@5 56.250 (62.780)
Epoch: [5][6070/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 2.8095 (2.8495)	Prec@1 35.938 (32.720)	Prec@5 62.500 (62.778)
Epoch: [5][6080/14090]	Time 0.759 (0.751)	Data 0.001 (0.001)	Loss 2.9406 (2.8495)	Prec@1 29.688 (32.718)	Prec@5 62.500 (62.777)
Epoch: [5][6090/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 2.5774 (2.8495)	Prec@1 37.500 (32.718)	Prec@5 69.531 (62.778)
Epoch: [5][6100/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 3.2136 (2.8496)	Prec@1 35.938 (32.718)	Prec@5 55.469 (62.778)
Epoch: [5][6110/14090]	Time 0.793 (0.751)	Data 0.001 (0.001)	Loss 2.8563 (2.8496)	Prec@1 31.250 (32.718)	Prec@5 63.281 (62.780)
Epoch: [5][6120/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 2.7541 (2.8495)	Prec@1 38.281 (32.720)	Prec@5 63.281 (62.782)
Epoch: [5][6130/14090]	Time 0.750 (0.751)	Data 0.002 (0.001)	Loss 2.6131 (2.8496)	Prec@1 33.594 (32.721)	Prec@5 75.000 (62.781)
Epoch: [5][6140/14090]	Time 0.777 (0.751)	Data 0.001 (0.001)	Loss 3.0264 (2.8496)	Prec@1 32.031 (32.721)	Prec@5 60.938 (62.783)
Epoch: [5][6150/14090]	Time 0.726 (0.751)	Data 0.001 (0.001)	Loss 2.9093 (2.8496)	Prec@1 35.156 (32.719)	Prec@5 57.031 (62.782)
Epoch: [5][6160/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 2.7309 (2.8495)	Prec@1 33.594 (32.718)	Prec@5 61.719 (62.783)
Epoch: [5][6170/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 2.8219 (2.8495)	Prec@1 33.594 (32.720)	Prec@5 62.500 (62.781)
Epoch: [5][6180/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 2.5336 (2.8495)	Prec@1 38.281 (32.720)	Prec@5 66.406 (62.781)
Epoch: [5][6190/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 2.7056 (2.8494)	Prec@1 35.938 (32.723)	Prec@5 68.750 (62.782)
Epoch: [5][6200/14090]	Time 0.743 (0.751)	Data 0.002 (0.001)	Loss 2.9906 (2.8495)	Prec@1 32.812 (32.725)	Prec@5 60.938 (62.781)
Epoch: [5][6210/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.4880 (2.8493)	Prec@1 41.406 (32.727)	Prec@5 69.531 (62.785)
Epoch: [5][6220/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 2.9183 (2.8492)	Prec@1 32.031 (32.729)	Prec@5 62.500 (62.787)
Epoch: [5][6230/14090]	Time 0.782 (0.751)	Data 0.001 (0.001)	Loss 3.1145 (2.8494)	Prec@1 24.219 (32.725)	Prec@5 60.938 (62.784)
Epoch: [5][6240/14090]	Time 0.774 (0.751)	Data 0.001 (0.001)	Loss 2.9046 (2.8494)	Prec@1 28.125 (32.725)	Prec@5 60.156 (62.782)
Epoch: [5][6250/14090]	Time 0.741 (0.751)	Data 0.001 (0.001)	Loss 2.5156 (2.8494)	Prec@1 38.281 (32.728)	Prec@5 69.531 (62.780)
Epoch: [5][6260/14090]	Time 0.722 (0.751)	Data 0.001 (0.001)	Loss 2.8369 (2.8495)	Prec@1 35.938 (32.726)	Prec@5 60.938 (62.778)
Epoch: [5][6270/14090]	Time 0.721 (0.751)	Data 0.002 (0.001)	Loss 2.8825 (2.8494)	Prec@1 39.062 (32.729)	Prec@5 60.938 (62.782)
Epoch: [5][6280/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 2.8000 (2.8494)	Prec@1 32.812 (32.727)	Prec@5 60.156 (62.781)
Epoch: [5][6290/14090]	Time 0.763 (0.751)	Data 0.001 (0.001)	Loss 3.0026 (2.8495)	Prec@1 31.250 (32.726)	Prec@5 58.594 (62.778)
Epoch: [5][6300/14090]	Time 0.741 (0.751)	Data 0.001 (0.001)	Loss 2.7508 (2.8497)	Prec@1 39.062 (32.726)	Prec@5 64.062 (62.774)
Epoch: [5][6310/14090]	Time 0.783 (0.751)	Data 0.001 (0.001)	Loss 3.0107 (2.8498)	Prec@1 24.219 (32.724)	Prec@5 63.281 (62.773)
Epoch: [5][6320/14090]	Time 0.730 (0.751)	Data 0.001 (0.001)	Loss 2.9057 (2.8497)	Prec@1 29.688 (32.726)	Prec@5 59.375 (62.773)
Epoch: [5][6330/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 2.9077 (2.8497)	Prec@1 31.250 (32.727)	Prec@5 57.812 (62.773)
Epoch: [5][6340/14090]	Time 0.746 (0.751)	Data 0.002 (0.001)	Loss 2.8366 (2.8497)	Prec@1 33.594 (32.726)	Prec@5 61.719 (62.772)
Epoch: [5][6350/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 2.8699 (2.8497)	Prec@1 34.375 (32.728)	Prec@5 63.281 (62.773)
Epoch: [5][6360/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 2.8066 (2.8497)	Prec@1 35.938 (32.728)	Prec@5 68.750 (62.774)
Epoch: [5][6370/14090]	Time 0.731 (0.751)	Data 0.001 (0.001)	Loss 2.8943 (2.8497)	Prec@1 35.938 (32.730)	Prec@5 65.625 (62.773)
Epoch: [5][6380/14090]	Time 0.739 (0.751)	Data 0.001 (0.001)	Loss 2.6273 (2.8497)	Prec@1 37.500 (32.730)	Prec@5 72.656 (62.773)
Epoch: [5][6390/14090]	Time 0.771 (0.751)	Data 0.001 (0.001)	Loss 2.8902 (2.8496)	Prec@1 27.344 (32.731)	Prec@5 60.156 (62.772)
Epoch: [5][6400/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 2.3447 (2.8494)	Prec@1 46.094 (32.736)	Prec@5 72.656 (62.776)
Epoch: [5][6410/14090]	Time 0.754 (0.751)	Data 0.002 (0.001)	Loss 2.8371 (2.8494)	Prec@1 28.125 (32.735)	Prec@5 63.281 (62.775)
Epoch: [5][6420/14090]	Time 0.764 (0.751)	Data 0.001 (0.001)	Loss 2.7274 (2.8494)	Prec@1 31.250 (32.736)	Prec@5 60.938 (62.777)
Epoch: [5][6430/14090]	Time 0.743 (0.751)	Data 0.001 (0.001)	Loss 2.6422 (2.8494)	Prec@1 36.719 (32.735)	Prec@5 67.969 (62.775)
Epoch: [5][6440/14090]	Time 0.765 (0.751)	Data 0.001 (0.001)	Loss 2.6365 (2.8495)	Prec@1 34.375 (32.734)	Prec@5 67.188 (62.773)
Epoch: [5][6450/14090]	Time 0.726 (0.751)	Data 0.001 (0.001)	Loss 2.9363 (2.8494)	Prec@1 28.906 (32.735)	Prec@5 61.719 (62.773)
Epoch: [5][6460/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 2.5363 (2.8494)	Prec@1 33.594 (32.736)	Prec@5 66.406 (62.774)
Epoch: [5][6470/14090]	Time 0.761 (0.751)	Data 0.001 (0.001)	Loss 3.0199 (2.8496)	Prec@1 25.781 (32.732)	Prec@5 62.500 (62.769)
Epoch: [5][6480/14090]	Time 0.788 (0.751)	Data 0.003 (0.001)	Loss 2.7648 (2.8494)	Prec@1 32.031 (32.735)	Prec@5 69.531 (62.771)
Epoch: [5][6490/14090]	Time 0.737 (0.751)	Data 0.001 (0.001)	Loss 2.5148 (2.8494)	Prec@1 35.938 (32.735)	Prec@5 65.625 (62.771)
Epoch: [5][6500/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 2.6529 (2.8493)	Prec@1 39.844 (32.736)	Prec@5 69.531 (62.774)
Epoch: [5][6510/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 2.6886 (2.8494)	Prec@1 34.375 (32.733)	Prec@5 64.844 (62.772)
Epoch: [5][6520/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 2.9701 (2.8494)	Prec@1 26.562 (32.730)	Prec@5 63.281 (62.771)
Epoch: [5][6530/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 2.9412 (2.8494)	Prec@1 30.469 (32.730)	Prec@5 57.031 (62.771)
Epoch: [5][6540/14090]	Time 0.778 (0.751)	Data 0.001 (0.001)	Loss 3.0112 (2.8496)	Prec@1 23.438 (32.726)	Prec@5 64.844 (62.770)
Epoch: [5][6550/14090]	Time 0.737 (0.751)	Data 0.002 (0.001)	Loss 2.4824 (2.8497)	Prec@1 38.281 (32.724)	Prec@5 66.406 (62.767)
Epoch: [5][6560/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 2.7760 (2.8497)	Prec@1 33.594 (32.726)	Prec@5 60.156 (62.766)
Epoch: [5][6570/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 2.7278 (2.8497)	Prec@1 29.688 (32.725)	Prec@5 67.188 (62.768)
Epoch: [5][6580/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 2.5820 (2.8497)	Prec@1 35.938 (32.725)	Prec@5 68.750 (62.769)
Epoch: [5][6590/14090]	Time 0.730 (0.751)	Data 0.001 (0.001)	Loss 2.6844 (2.8497)	Prec@1 37.500 (32.724)	Prec@5 62.500 (62.768)
Epoch: [5][6600/14090]	Time 0.772 (0.751)	Data 0.002 (0.001)	Loss 2.9243 (2.8498)	Prec@1 31.250 (32.723)	Prec@5 60.938 (62.763)
Epoch: [5][6610/14090]	Time 0.741 (0.751)	Data 0.001 (0.001)	Loss 3.1654 (2.8500)	Prec@1 32.812 (32.718)	Prec@5 55.469 (62.759)
Epoch: [5][6620/14090]	Time 0.728 (0.751)	Data 0.002 (0.001)	Loss 2.9290 (2.8499)	Prec@1 32.812 (32.719)	Prec@5 63.281 (62.761)
Epoch: [5][6630/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 2.7953 (2.8498)	Prec@1 35.938 (32.720)	Prec@5 62.500 (62.762)
Epoch: [5][6640/14090]	Time 0.771 (0.751)	Data 0.001 (0.001)	Loss 2.8599 (2.8498)	Prec@1 35.938 (32.722)	Prec@5 61.719 (62.764)
Epoch: [5][6650/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 2.9469 (2.8498)	Prec@1 32.031 (32.722)	Prec@5 59.375 (62.764)
Epoch: [5][6660/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 2.6098 (2.8497)	Prec@1 34.375 (32.722)	Prec@5 64.062 (62.766)
Epoch: [5][6670/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 3.1389 (2.8498)	Prec@1 25.000 (32.721)	Prec@5 52.344 (62.764)
Epoch: [5][6680/14090]	Time 0.785 (0.751)	Data 0.001 (0.001)	Loss 3.0944 (2.8499)	Prec@1 28.906 (32.720)	Prec@5 55.469 (62.760)
Epoch: [5][6690/14090]	Time 0.748 (0.751)	Data 0.002 (0.001)	Loss 2.9746 (2.8499)	Prec@1 32.812 (32.721)	Prec@5 64.844 (62.762)
Epoch: [5][6700/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 2.6962 (2.8499)	Prec@1 39.844 (32.722)	Prec@5 67.188 (62.761)
Epoch: [5][6710/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.8408 (2.8500)	Prec@1 30.469 (32.723)	Prec@5 64.844 (62.761)
Epoch: [5][6720/14090]	Time 0.722 (0.751)	Data 0.001 (0.001)	Loss 2.7952 (2.8499)	Prec@1 30.469 (32.722)	Prec@5 64.062 (62.762)
Epoch: [5][6730/14090]	Time 0.773 (0.751)	Data 0.001 (0.001)	Loss 2.8264 (2.8499)	Prec@1 28.906 (32.721)	Prec@5 60.156 (62.760)
Epoch: [5][6740/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 2.9339 (2.8500)	Prec@1 32.031 (32.721)	Prec@5 64.844 (62.760)
Epoch: [5][6750/14090]	Time 0.768 (0.751)	Data 0.001 (0.001)	Loss 2.6363 (2.8499)	Prec@1 35.156 (32.721)	Prec@5 64.844 (62.761)
Epoch: [5][6760/14090]	Time 0.742 (0.751)	Data 0.002 (0.001)	Loss 2.6411 (2.8497)	Prec@1 32.031 (32.722)	Prec@5 65.625 (62.762)
Epoch: [5][6770/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 2.8421 (2.8498)	Prec@1 37.500 (32.720)	Prec@5 64.062 (62.761)
Epoch: [5][6780/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 2.6615 (2.8498)	Prec@1 32.031 (32.718)	Prec@5 63.281 (62.759)
Epoch: [5][6790/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 2.7298 (2.8497)	Prec@1 33.594 (32.716)	Prec@5 64.062 (62.760)
Epoch: [5][6800/14090]	Time 0.761 (0.751)	Data 0.001 (0.001)	Loss 2.7275 (2.8497)	Prec@1 34.375 (32.713)	Prec@5 62.500 (62.760)
Epoch: [5][6810/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 2.7333 (2.8497)	Prec@1 31.250 (32.715)	Prec@5 66.406 (62.761)
Epoch: [5][6820/14090]	Time 0.772 (0.751)	Data 0.001 (0.001)	Loss 3.1326 (2.8496)	Prec@1 25.781 (32.713)	Prec@5 53.906 (62.761)
Epoch: [5][6830/14090]	Time 0.743 (0.751)	Data 0.002 (0.001)	Loss 3.0011 (2.8496)	Prec@1 29.688 (32.711)	Prec@5 61.719 (62.761)
Epoch: [5][6840/14090]	Time 0.733 (0.751)	Data 0.001 (0.001)	Loss 2.7957 (2.8497)	Prec@1 33.594 (32.709)	Prec@5 62.500 (62.760)
Epoch: [5][6850/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 2.8987 (2.8498)	Prec@1 28.125 (32.708)	Prec@5 61.719 (62.756)
Epoch: [5][6860/14090]	Time 0.734 (0.751)	Data 0.001 (0.001)	Loss 3.0712 (2.8498)	Prec@1 25.781 (32.708)	Prec@5 51.562 (62.755)
Epoch: [5][6870/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 3.0209 (2.8498)	Prec@1 28.125 (32.707)	Prec@5 59.375 (62.754)
Epoch: [5][6880/14090]	Time 0.757 (0.751)	Data 0.001 (0.001)	Loss 2.8683 (2.8498)	Prec@1 33.594 (32.707)	Prec@5 69.531 (62.755)
Epoch: [5][6890/14090]	Time 0.765 (0.751)	Data 0.001 (0.001)	Loss 2.8487 (2.8498)	Prec@1 38.281 (32.709)	Prec@5 64.844 (62.753)
Epoch: [5][6900/14090]	Time 0.752 (0.751)	Data 0.002 (0.001)	Loss 2.9374 (2.8499)	Prec@1 28.906 (32.709)	Prec@5 57.812 (62.756)
Epoch: [5][6910/14090]	Time 0.724 (0.751)	Data 0.001 (0.001)	Loss 2.9588 (2.8500)	Prec@1 27.344 (32.706)	Prec@5 61.719 (62.754)
Epoch: [5][6920/14090]	Time 0.743 (0.751)	Data 0.001 (0.001)	Loss 2.6069 (2.8500)	Prec@1 35.938 (32.707)	Prec@5 65.625 (62.754)
Epoch: [5][6930/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 2.9526 (2.8501)	Prec@1 28.125 (32.706)	Prec@5 55.469 (62.749)
Epoch: [5][6940/14090]	Time 0.734 (0.751)	Data 0.001 (0.001)	Loss 2.9293 (2.8501)	Prec@1 31.250 (32.707)	Prec@5 60.938 (62.746)
Epoch: [5][6950/14090]	Time 0.778 (0.751)	Data 0.001 (0.001)	Loss 2.5972 (2.8499)	Prec@1 34.375 (32.710)	Prec@5 66.406 (62.749)
Epoch: [5][6960/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 3.1982 (2.8500)	Prec@1 23.438 (32.709)	Prec@5 49.219 (62.747)
Epoch: [5][6970/14090]	Time 0.729 (0.751)	Data 0.002 (0.001)	Loss 2.6183 (2.8499)	Prec@1 38.281 (32.710)	Prec@5 68.750 (62.748)
Epoch: [5][6980/14090]	Time 0.743 (0.751)	Data 0.001 (0.001)	Loss 2.7271 (2.8498)	Prec@1 35.156 (32.713)	Prec@5 68.750 (62.752)
Epoch: [5][6990/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 2.9284 (2.8498)	Prec@1 41.406 (32.712)	Prec@5 62.500 (62.749)
Epoch: [5][7000/14090]	Time 0.724 (0.751)	Data 0.001 (0.001)	Loss 2.8287 (2.8498)	Prec@1 32.812 (32.712)	Prec@5 62.500 (62.750)
Epoch: [5][7010/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 2.9066 (2.8498)	Prec@1 35.156 (32.712)	Prec@5 60.938 (62.751)
Epoch: [5][7020/14090]	Time 0.757 (0.751)	Data 0.001 (0.001)	Loss 3.0555 (2.8499)	Prec@1 27.344 (32.712)	Prec@5 59.375 (62.747)
Epoch: [5][7030/14090]	Time 0.731 (0.751)	Data 0.001 (0.001)	Loss 2.6860 (2.8497)	Prec@1 28.906 (32.715)	Prec@5 67.188 (62.752)
Epoch: [5][7040/14090]	Time 0.751 (0.751)	Data 0.002 (0.001)	Loss 2.8767 (2.8497)	Prec@1 32.031 (32.715)	Prec@5 60.938 (62.754)
Epoch: [5][7050/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 3.0385 (2.8497)	Prec@1 28.906 (32.713)	Prec@5 60.156 (62.754)
Epoch: [5][7060/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 3.1445 (2.8497)	Prec@1 24.219 (32.713)	Prec@5 57.031 (62.754)
Epoch: [5][7070/14090]	Time 0.737 (0.751)	Data 0.001 (0.001)	Loss 3.5220 (2.8499)	Prec@1 20.312 (32.708)	Prec@5 49.219 (62.752)
Epoch: [5][7080/14090]	Time 0.722 (0.751)	Data 0.001 (0.001)	Loss 2.7916 (2.8499)	Prec@1 28.906 (32.710)	Prec@5 66.406 (62.752)
Epoch: [5][7090/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 2.9382 (2.8499)	Prec@1 28.125 (32.711)	Prec@5 62.500 (62.754)
Epoch: [5][7100/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 3.1661 (2.8501)	Prec@1 25.000 (32.707)	Prec@5 55.469 (62.749)
Epoch: [5][7110/14090]	Time 0.750 (0.751)	Data 0.002 (0.001)	Loss 3.1100 (2.8500)	Prec@1 34.375 (32.709)	Prec@5 58.594 (62.751)
Epoch: [5][7120/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 2.8884 (2.8500)	Prec@1 33.594 (32.711)	Prec@5 62.500 (62.749)
Epoch: [5][7130/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.9524 (2.8501)	Prec@1 29.688 (32.709)	Prec@5 58.594 (62.750)
Epoch: [5][7140/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 3.1593 (2.8500)	Prec@1 25.000 (32.710)	Prec@5 57.031 (62.750)
Epoch: [5][7150/14090]	Time 0.726 (0.751)	Data 0.001 (0.001)	Loss 2.6514 (2.8500)	Prec@1 35.156 (32.711)	Prec@5 60.938 (62.750)
Epoch: [5][7160/14090]	Time 0.742 (0.751)	Data 0.001 (0.001)	Loss 3.2255 (2.8502)	Prec@1 25.000 (32.706)	Prec@5 55.469 (62.745)
Epoch: [5][7170/14090]	Time 0.723 (0.751)	Data 0.001 (0.001)	Loss 3.0586 (2.8502)	Prec@1 24.219 (32.705)	Prec@5 57.812 (62.743)
Epoch: [5][7180/14090]	Time 0.768 (0.751)	Data 0.002 (0.001)	Loss 2.8591 (2.8502)	Prec@1 28.906 (32.704)	Prec@5 64.844 (62.744)
Epoch: [5][7190/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 2.6794 (2.8501)	Prec@1 36.719 (32.707)	Prec@5 67.188 (62.746)
Epoch: [5][7200/14090]	Time 0.783 (0.751)	Data 0.001 (0.001)	Loss 2.8899 (2.8501)	Prec@1 35.156 (32.708)	Prec@5 60.156 (62.745)
Epoch: [5][7210/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 3.0009 (2.8502)	Prec@1 35.156 (32.711)	Prec@5 56.250 (62.742)
Epoch: [5][7220/14090]	Time 0.760 (0.751)	Data 0.001 (0.001)	Loss 2.6795 (2.8502)	Prec@1 33.594 (32.713)	Prec@5 65.625 (62.741)
Epoch: [5][7230/14090]	Time 0.776 (0.751)	Data 0.001 (0.001)	Loss 2.8297 (2.8502)	Prec@1 33.594 (32.713)	Prec@5 60.156 (62.742)
Epoch: [5][7240/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 2.5555 (2.8502)	Prec@1 33.594 (32.710)	Prec@5 69.531 (62.742)
Epoch: [5][7250/14090]	Time 0.754 (0.751)	Data 0.002 (0.001)	Loss 2.7434 (2.8503)	Prec@1 32.812 (32.711)	Prec@5 64.844 (62.742)
Epoch: [5][7260/14090]	Time 0.765 (0.751)	Data 0.001 (0.001)	Loss 2.9829 (2.8504)	Prec@1 34.375 (32.711)	Prec@5 57.812 (62.740)
Epoch: [5][7270/14090]	Time 0.778 (0.751)	Data 0.001 (0.001)	Loss 2.9950 (2.8505)	Prec@1 27.344 (32.708)	Prec@5 57.031 (62.737)
Epoch: [5][7280/14090]	Time 0.784 (0.751)	Data 0.001 (0.001)	Loss 2.9619 (2.8505)	Prec@1 25.781 (32.709)	Prec@5 63.281 (62.739)
Epoch: [5][7290/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 3.0678 (2.8504)	Prec@1 26.562 (32.709)	Prec@5 59.375 (62.740)
Epoch: [5][7300/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 2.6833 (2.8504)	Prec@1 35.938 (32.710)	Prec@5 64.844 (62.741)
Epoch: [5][7310/14090]	Time 0.760 (0.751)	Data 0.001 (0.001)	Loss 3.1552 (2.8504)	Prec@1 28.906 (32.713)	Prec@5 58.594 (62.739)
Epoch: [5][7320/14090]	Time 0.765 (0.751)	Data 0.002 (0.001)	Loss 2.7980 (2.8505)	Prec@1 35.156 (32.712)	Prec@5 65.625 (62.739)
Epoch: [5][7330/14090]	Time 0.773 (0.751)	Data 0.001 (0.001)	Loss 2.9654 (2.8504)	Prec@1 32.812 (32.714)	Prec@5 60.938 (62.741)
Epoch: [5][7340/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 2.7715 (2.8505)	Prec@1 39.844 (32.713)	Prec@5 60.156 (62.739)
Epoch: [5][7350/14090]	Time 0.767 (0.751)	Data 0.001 (0.001)	Loss 2.5312 (2.8505)	Prec@1 44.531 (32.712)	Prec@5 71.875 (62.740)
Epoch: [5][7360/14090]	Time 0.722 (0.751)	Data 0.001 (0.001)	Loss 3.2678 (2.8506)	Prec@1 24.219 (32.711)	Prec@5 53.125 (62.735)
Epoch: [5][7370/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 2.6878 (2.8506)	Prec@1 35.156 (32.712)	Prec@5 60.156 (62.736)
Epoch: [5][7380/14090]	Time 0.766 (0.751)	Data 0.001 (0.001)	Loss 2.7932 (2.8506)	Prec@1 35.938 (32.714)	Prec@5 64.844 (62.737)
Epoch: [5][7390/14090]	Time 0.750 (0.751)	Data 0.002 (0.001)	Loss 2.9767 (2.8505)	Prec@1 28.125 (32.712)	Prec@5 60.938 (62.739)
Epoch: [5][7400/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 2.5431 (2.8505)	Prec@1 38.281 (32.713)	Prec@5 72.656 (62.742)
Epoch: [5][7410/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 2.6338 (2.8504)	Prec@1 35.938 (32.715)	Prec@5 66.406 (62.744)
Epoch: [5][7420/14090]	Time 0.780 (0.751)	Data 0.001 (0.001)	Loss 2.9241 (2.8505)	Prec@1 35.156 (32.714)	Prec@5 61.719 (62.743)
Epoch: [5][7430/14090]	Time 0.761 (0.751)	Data 0.001 (0.001)	Loss 2.4658 (2.8504)	Prec@1 36.719 (32.716)	Prec@5 68.750 (62.746)
Epoch: [5][7440/14090]	Time 0.766 (0.751)	Data 0.001 (0.001)	Loss 2.8449 (2.8505)	Prec@1 33.594 (32.716)	Prec@5 60.938 (62.745)
Epoch: [5][7450/14090]	Time 0.781 (0.751)	Data 0.001 (0.001)	Loss 2.7536 (2.8505)	Prec@1 32.812 (32.716)	Prec@5 63.281 (62.746)
Epoch: [5][7460/14090]	Time 0.733 (0.751)	Data 0.002 (0.001)	Loss 2.8487 (2.8503)	Prec@1 38.281 (32.719)	Prec@5 65.625 (62.749)
Epoch: [5][7470/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 2.8467 (2.8504)	Prec@1 31.250 (32.720)	Prec@5 64.062 (62.746)
Epoch: [5][7480/14090]	Time 0.760 (0.751)	Data 0.001 (0.001)	Loss 2.7596 (2.8504)	Prec@1 32.031 (32.719)	Prec@5 66.406 (62.747)
Epoch: [5][7490/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 2.8120 (2.8504)	Prec@1 35.156 (32.719)	Prec@5 63.281 (62.750)
Epoch: [5][7500/14090]	Time 0.776 (0.751)	Data 0.001 (0.001)	Loss 3.1449 (2.8504)	Prec@1 28.125 (32.718)	Prec@5 59.375 (62.750)
Epoch: [5][7510/14090]	Time 0.761 (0.751)	Data 0.001 (0.001)	Loss 2.7834 (2.8505)	Prec@1 38.281 (32.717)	Prec@5 64.062 (62.746)
Epoch: [5][7520/14090]	Time 0.739 (0.751)	Data 0.001 (0.001)	Loss 2.8407 (2.8506)	Prec@1 28.906 (32.713)	Prec@5 64.062 (62.743)
Epoch: [5][7530/14090]	Time 0.735 (0.751)	Data 0.002 (0.001)	Loss 2.9868 (2.8506)	Prec@1 25.000 (32.711)	Prec@5 60.156 (62.745)
Epoch: [5][7540/14090]	Time 0.730 (0.751)	Data 0.001 (0.001)	Loss 2.9410 (2.8506)	Prec@1 32.031 (32.711)	Prec@5 60.156 (62.744)
Epoch: [5][7550/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 3.0511 (2.8506)	Prec@1 32.812 (32.711)	Prec@5 60.156 (62.743)
Epoch: [5][7560/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.8843 (2.8505)	Prec@1 30.469 (32.711)	Prec@5 61.719 (62.744)
Epoch: [5][7570/14090]	Time 0.786 (0.751)	Data 0.001 (0.001)	Loss 3.0009 (2.8504)	Prec@1 25.000 (32.714)	Prec@5 63.281 (62.746)
Epoch: [5][7580/14090]	Time 0.724 (0.751)	Data 0.001 (0.001)	Loss 2.7732 (2.8504)	Prec@1 33.594 (32.714)	Prec@5 59.375 (62.747)
Epoch: [5][7590/14090]	Time 0.782 (0.751)	Data 0.001 (0.001)	Loss 2.8199 (2.8503)	Prec@1 33.594 (32.714)	Prec@5 65.625 (62.749)
Epoch: [5][7600/14090]	Time 0.746 (0.751)	Data 0.002 (0.001)	Loss 2.7975 (2.8503)	Prec@1 27.344 (32.713)	Prec@5 61.719 (62.749)
Epoch: [5][7610/14090]	Time 0.757 (0.751)	Data 0.001 (0.001)	Loss 2.4763 (2.8503)	Prec@1 41.406 (32.711)	Prec@5 72.656 (62.748)
Epoch: [5][7620/14090]	Time 0.728 (0.751)	Data 0.001 (0.001)	Loss 2.8447 (2.8503)	Prec@1 33.594 (32.710)	Prec@5 64.062 (62.747)
Epoch: [5][7630/14090]	Time 0.727 (0.751)	Data 0.001 (0.001)	Loss 2.8216 (2.8503)	Prec@1 31.250 (32.711)	Prec@5 71.094 (62.748)
Epoch: [5][7640/14090]	Time 0.731 (0.751)	Data 0.001 (0.001)	Loss 2.7778 (2.8502)	Prec@1 34.375 (32.713)	Prec@5 66.406 (62.750)
Epoch: [5][7650/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 3.0468 (2.8503)	Prec@1 23.438 (32.710)	Prec@5 57.031 (62.749)
Epoch: [5][7660/14090]	Time 0.771 (0.751)	Data 0.001 (0.001)	Loss 3.0424 (2.8503)	Prec@1 23.438 (32.711)	Prec@5 56.250 (62.749)
Epoch: [5][7670/14090]	Time 0.738 (0.751)	Data 0.002 (0.001)	Loss 2.8469 (2.8503)	Prec@1 33.594 (32.711)	Prec@5 59.375 (62.748)
Epoch: [5][7680/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 2.6607 (2.8503)	Prec@1 32.812 (32.710)	Prec@5 64.062 (62.747)
Epoch: [5][7690/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 3.0897 (2.8504)	Prec@1 22.656 (32.705)	Prec@5 56.250 (62.745)
Epoch: [5][7700/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 2.6843 (2.8503)	Prec@1 39.844 (32.708)	Prec@5 69.531 (62.749)
Epoch: [5][7710/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 2.9041 (2.8502)	Prec@1 31.250 (32.708)	Prec@5 61.719 (62.751)
Epoch: [5][7720/14090]	Time 0.762 (0.751)	Data 0.001 (0.001)	Loss 2.7610 (2.8502)	Prec@1 32.812 (32.709)	Prec@5 60.938 (62.750)
Epoch: [5][7730/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 2.6460 (2.8502)	Prec@1 35.156 (32.707)	Prec@5 67.969 (62.749)
Epoch: [5][7740/14090]	Time 0.751 (0.751)	Data 0.002 (0.001)	Loss 2.7122 (2.8501)	Prec@1 35.156 (32.710)	Prec@5 61.719 (62.751)
Epoch: [5][7750/14090]	Time 0.782 (0.751)	Data 0.001 (0.001)	Loss 2.7904 (2.8500)	Prec@1 32.812 (32.711)	Prec@5 63.281 (62.750)
Epoch: [5][7760/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 2.6750 (2.8499)	Prec@1 37.500 (32.711)	Prec@5 66.406 (62.753)
Epoch: [5][7770/14090]	Time 0.743 (0.751)	Data 0.001 (0.001)	Loss 2.8595 (2.8500)	Prec@1 31.250 (32.712)	Prec@5 63.281 (62.751)
Epoch: [5][7780/14090]	Time 0.739 (0.751)	Data 0.001 (0.001)	Loss 3.1407 (2.8499)	Prec@1 30.469 (32.713)	Prec@5 55.469 (62.751)
Epoch: [5][7790/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 2.7743 (2.8498)	Prec@1 35.156 (32.714)	Prec@5 65.625 (62.753)
Epoch: [5][7800/14090]	Time 0.759 (0.751)	Data 0.001 (0.001)	Loss 2.8400 (2.8498)	Prec@1 31.250 (32.717)	Prec@5 65.625 (62.754)
Epoch: [5][7810/14090]	Time 0.745 (0.751)	Data 0.002 (0.001)	Loss 3.0289 (2.8499)	Prec@1 31.250 (32.714)	Prec@5 60.156 (62.753)
Epoch: [5][7820/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 3.0919 (2.8499)	Prec@1 28.125 (32.714)	Prec@5 56.250 (62.753)
Epoch: [5][7830/14090]	Time 0.739 (0.751)	Data 0.001 (0.001)	Loss 2.6727 (2.8500)	Prec@1 35.938 (32.714)	Prec@5 71.094 (62.751)
Epoch: [5][7840/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 2.7196 (2.8501)	Prec@1 35.156 (32.713)	Prec@5 63.281 (62.751)
Epoch: [5][7850/14090]	Time 0.742 (0.751)	Data 0.001 (0.001)	Loss 3.0436 (2.8501)	Prec@1 27.344 (32.712)	Prec@5 63.281 (62.750)
Epoch: [5][7860/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 2.7776 (2.8502)	Prec@1 33.594 (32.709)	Prec@5 64.844 (62.750)
Epoch: [5][7870/14090]	Time 0.774 (0.751)	Data 0.001 (0.001)	Loss 2.8555 (2.8502)	Prec@1 32.812 (32.706)	Prec@5 61.719 (62.748)
Epoch: [5][7880/14090]	Time 0.726 (0.751)	Data 0.002 (0.001)	Loss 2.9673 (2.8503)	Prec@1 31.250 (32.705)	Prec@5 55.469 (62.745)
Epoch: [5][7890/14090]	Time 0.766 (0.751)	Data 0.001 (0.001)	Loss 2.8491 (2.8503)	Prec@1 30.469 (32.704)	Prec@5 57.031 (62.745)
Epoch: [5][7900/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 3.1641 (2.8504)	Prec@1 27.344 (32.704)	Prec@5 56.250 (62.743)
Epoch: [5][7910/14090]	Time 0.782 (0.751)	Data 0.001 (0.001)	Loss 2.8477 (2.8504)	Prec@1 35.938 (32.703)	Prec@5 61.719 (62.744)
Epoch: [5][7920/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 2.3139 (2.8503)	Prec@1 41.406 (32.704)	Prec@5 76.562 (62.742)
Epoch: [5][7930/14090]	Time 0.726 (0.751)	Data 0.001 (0.001)	Loss 2.7433 (2.8503)	Prec@1 35.156 (32.706)	Prec@5 61.719 (62.743)
Epoch: [5][7940/14090]	Time 0.773 (0.751)	Data 0.001 (0.001)	Loss 2.7151 (2.8502)	Prec@1 33.594 (32.708)	Prec@5 67.969 (62.743)
Epoch: [5][7950/14090]	Time 0.766 (0.751)	Data 0.002 (0.001)	Loss 3.3345 (2.8504)	Prec@1 20.312 (32.704)	Prec@5 52.344 (62.738)
Epoch: [5][7960/14090]	Time 0.728 (0.751)	Data 0.001 (0.001)	Loss 2.8033 (2.8504)	Prec@1 29.688 (32.704)	Prec@5 66.406 (62.740)
Epoch: [5][7970/14090]	Time 0.774 (0.751)	Data 0.001 (0.001)	Loss 2.4837 (2.8503)	Prec@1 40.625 (32.704)	Prec@5 69.531 (62.742)
Epoch: [5][7980/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 2.8370 (2.8503)	Prec@1 36.719 (32.706)	Prec@5 62.500 (62.743)
Epoch: [5][7990/14090]	Time 0.783 (0.751)	Data 0.001 (0.001)	Loss 2.8701 (2.8502)	Prec@1 35.156 (32.708)	Prec@5 64.844 (62.746)
Epoch: [5][8000/14090]	Time 0.766 (0.751)	Data 0.001 (0.001)	Loss 2.9482 (2.8501)	Prec@1 35.938 (32.709)	Prec@5 63.281 (62.748)
Epoch: [5][8010/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 3.2118 (2.8500)	Prec@1 28.906 (32.712)	Prec@5 53.125 (62.750)
Epoch: [5][8020/14090]	Time 0.734 (0.751)	Data 0.002 (0.001)	Loss 2.9276 (2.8500)	Prec@1 28.125 (32.711)	Prec@5 59.375 (62.752)
Epoch: [5][8030/14090]	Time 0.765 (0.751)	Data 0.001 (0.001)	Loss 2.8102 (2.8501)	Prec@1 35.156 (32.708)	Prec@5 60.938 (62.750)
Epoch: [5][8040/14090]	Time 0.741 (0.751)	Data 0.001 (0.001)	Loss 3.0140 (2.8501)	Prec@1 29.688 (32.707)	Prec@5 60.156 (62.749)
Epoch: [5][8050/14090]	Time 0.729 (0.751)	Data 0.001 (0.001)	Loss 3.2718 (2.8502)	Prec@1 25.781 (32.705)	Prec@5 51.562 (62.746)
Epoch: [5][8060/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 2.7487 (2.8502)	Prec@1 34.375 (32.705)	Prec@5 63.281 (62.747)
Epoch: [5][8070/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 2.7781 (2.8501)	Prec@1 39.844 (32.707)	Prec@5 61.719 (62.746)
Epoch: [5][8080/14090]	Time 0.770 (0.751)	Data 0.001 (0.001)	Loss 2.6966 (2.8501)	Prec@1 32.812 (32.707)	Prec@5 66.406 (62.749)
Epoch: [5][8090/14090]	Time 0.776 (0.751)	Data 0.002 (0.001)	Loss 2.9072 (2.8501)	Prec@1 33.594 (32.708)	Prec@5 61.719 (62.749)
Epoch: [5][8100/14090]	Time 0.739 (0.751)	Data 0.001 (0.001)	Loss 2.9609 (2.8500)	Prec@1 33.594 (32.710)	Prec@5 63.281 (62.751)
Epoch: [5][8110/14090]	Time 0.737 (0.751)	Data 0.001 (0.001)	Loss 2.9879 (2.8501)	Prec@1 25.781 (32.707)	Prec@5 60.938 (62.749)
Epoch: [5][8120/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 2.5547 (2.8501)	Prec@1 39.062 (32.708)	Prec@5 70.312 (62.752)
Epoch: [5][8130/14090]	Time 0.723 (0.751)	Data 0.001 (0.001)	Loss 2.5842 (2.8501)	Prec@1 32.812 (32.706)	Prec@5 71.875 (62.753)
Epoch: [5][8140/14090]	Time 0.742 (0.751)	Data 0.001 (0.001)	Loss 2.9380 (2.8500)	Prec@1 31.250 (32.705)	Prec@5 61.719 (62.752)
Epoch: [5][8150/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 2.8523 (2.8501)	Prec@1 35.156 (32.705)	Prec@5 57.031 (62.750)
Epoch: [5][8160/14090]	Time 0.734 (0.751)	Data 0.002 (0.001)	Loss 2.6601 (2.8501)	Prec@1 34.375 (32.706)	Prec@5 69.531 (62.750)
Epoch: [5][8170/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 2.3593 (2.8500)	Prec@1 42.188 (32.707)	Prec@5 75.781 (62.752)
Epoch: [5][8180/14090]	Time 0.775 (0.751)	Data 0.001 (0.001)	Loss 2.7727 (2.8500)	Prec@1 32.812 (32.708)	Prec@5 62.500 (62.752)
Epoch: [5][8190/14090]	Time 0.777 (0.751)	Data 0.001 (0.001)	Loss 2.9844 (2.8500)	Prec@1 29.688 (32.706)	Prec@5 59.375 (62.752)
Epoch: [5][8200/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 2.7155 (2.8500)	Prec@1 31.250 (32.708)	Prec@5 65.625 (62.753)
Epoch: [5][8210/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 2.6032 (2.8501)	Prec@1 37.500 (32.707)	Prec@5 70.312 (62.751)
Epoch: [5][8220/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 2.7051 (2.8500)	Prec@1 30.469 (32.708)	Prec@5 60.938 (62.752)
Epoch: [5][8230/14090]	Time 0.742 (0.751)	Data 0.002 (0.001)	Loss 2.7415 (2.8500)	Prec@1 35.156 (32.708)	Prec@5 64.062 (62.751)
Epoch: [5][8240/14090]	Time 0.801 (0.751)	Data 0.001 (0.001)	Loss 2.8206 (2.8500)	Prec@1 28.125 (32.706)	Prec@5 66.406 (62.751)
Epoch: [5][8250/14090]	Time 0.741 (0.751)	Data 0.001 (0.001)	Loss 2.6923 (2.8501)	Prec@1 32.812 (32.702)	Prec@5 64.062 (62.749)
Epoch: [5][8260/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 2.9526 (2.8503)	Prec@1 29.688 (32.699)	Prec@5 60.156 (62.746)
Epoch: [5][8270/14090]	Time 0.742 (0.751)	Data 0.001 (0.001)	Loss 3.0920 (2.8505)	Prec@1 26.562 (32.698)	Prec@5 55.469 (62.743)
Epoch: [5][8280/14090]	Time 0.780 (0.751)	Data 0.001 (0.001)	Loss 2.6745 (2.8504)	Prec@1 35.156 (32.698)	Prec@5 63.281 (62.745)
Epoch: [5][8290/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 2.5687 (2.8504)	Prec@1 35.938 (32.699)	Prec@5 67.188 (62.745)
Epoch: [5][8300/14090]	Time 0.767 (0.751)	Data 0.002 (0.001)	Loss 2.9003 (2.8505)	Prec@1 30.469 (32.697)	Prec@5 60.938 (62.744)
Epoch: [5][8310/14090]	Time 0.773 (0.751)	Data 0.001 (0.001)	Loss 2.8558 (2.8505)	Prec@1 32.812 (32.696)	Prec@5 61.719 (62.744)
Epoch: [5][8320/14090]	Time 0.725 (0.751)	Data 0.001 (0.001)	Loss 2.8546 (2.8505)	Prec@1 33.594 (32.696)	Prec@5 64.844 (62.746)
Epoch: [5][8330/14090]	Time 0.772 (0.751)	Data 0.001 (0.001)	Loss 2.6884 (2.8504)	Prec@1 37.500 (32.698)	Prec@5 64.844 (62.747)
Epoch: [5][8340/14090]	Time 0.759 (0.751)	Data 0.001 (0.001)	Loss 2.8947 (2.8506)	Prec@1 39.062 (32.699)	Prec@5 62.500 (62.746)
Epoch: [5][8350/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 2.7393 (2.8506)	Prec@1 32.031 (32.696)	Prec@5 63.281 (62.746)
Epoch: [5][8360/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 3.0452 (2.8505)	Prec@1 31.250 (32.699)	Prec@5 57.031 (62.747)
Epoch: [5][8370/14090]	Time 0.772 (0.751)	Data 0.002 (0.001)	Loss 2.9236 (2.8506)	Prec@1 33.594 (32.698)	Prec@5 62.500 (62.747)
Epoch: [5][8380/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 3.1088 (2.8506)	Prec@1 28.125 (32.699)	Prec@5 56.250 (62.746)
Epoch: [5][8390/14090]	Time 0.740 (0.751)	Data 0.001 (0.001)	Loss 2.7675 (2.8506)	Prec@1 34.375 (32.700)	Prec@5 64.062 (62.746)
Epoch: [5][8400/14090]	Time 0.739 (0.751)	Data 0.001 (0.001)	Loss 2.8836 (2.8507)	Prec@1 32.812 (32.699)	Prec@5 61.719 (62.743)
Epoch: [5][8410/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 2.5953 (2.8507)	Prec@1 41.406 (32.699)	Prec@5 69.531 (62.744)
Epoch: [5][8420/14090]	Time 0.761 (0.751)	Data 0.001 (0.001)	Loss 2.8400 (2.8507)	Prec@1 33.594 (32.697)	Prec@5 64.062 (62.742)
Epoch: [5][8430/14090]	Time 0.729 (0.751)	Data 0.001 (0.001)	Loss 2.9549 (2.8507)	Prec@1 32.031 (32.699)	Prec@5 56.250 (62.742)
Epoch: [5][8440/14090]	Time 0.753 (0.751)	Data 0.002 (0.001)	Loss 2.6680 (2.8507)	Prec@1 39.062 (32.699)	Prec@5 66.406 (62.740)
Epoch: [5][8450/14090]	Time 0.759 (0.751)	Data 0.001 (0.001)	Loss 3.0371 (2.8508)	Prec@1 32.031 (32.698)	Prec@5 65.625 (62.740)
Epoch: [5][8460/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 2.7382 (2.8508)	Prec@1 32.031 (32.696)	Prec@5 66.406 (62.738)
Epoch: [5][8470/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 2.8721 (2.8509)	Prec@1 32.031 (32.694)	Prec@5 59.375 (62.735)
Epoch: [5][8480/14090]	Time 0.763 (0.751)	Data 0.001 (0.001)	Loss 2.8634 (2.8509)	Prec@1 32.031 (32.694)	Prec@5 67.188 (62.736)
Epoch: [5][8490/14090]	Time 0.762 (0.751)	Data 0.001 (0.001)	Loss 2.7507 (2.8508)	Prec@1 34.375 (32.697)	Prec@5 67.188 (62.737)
Epoch: [5][8500/14090]	Time 0.734 (0.751)	Data 0.001 (0.001)	Loss 3.0697 (2.8509)	Prec@1 32.812 (32.696)	Prec@5 54.688 (62.735)
Epoch: [5][8510/14090]	Time 0.765 (0.751)	Data 0.002 (0.001)	Loss 2.9162 (2.8508)	Prec@1 27.344 (32.699)	Prec@5 64.062 (62.738)
Epoch: [5][8520/14090]	Time 0.765 (0.751)	Data 0.001 (0.001)	Loss 3.0650 (2.8508)	Prec@1 26.562 (32.698)	Prec@5 54.688 (62.737)
Epoch: [5][8530/14090]	Time 0.727 (0.751)	Data 0.001 (0.001)	Loss 3.0329 (2.8508)	Prec@1 34.375 (32.700)	Prec@5 59.375 (62.737)
Epoch: [5][8540/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 2.7185 (2.8509)	Prec@1 34.375 (32.700)	Prec@5 70.312 (62.736)
Epoch: [5][8550/14090]	Time 0.734 (0.751)	Data 0.001 (0.001)	Loss 3.2233 (2.8510)	Prec@1 27.344 (32.701)	Prec@5 53.906 (62.732)
Epoch: [5][8560/14090]	Time 0.734 (0.751)	Data 0.001 (0.001)	Loss 2.9109 (2.8511)	Prec@1 28.125 (32.699)	Prec@5 60.156 (62.730)
Epoch: [5][8570/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 2.9339 (2.8511)	Prec@1 32.812 (32.702)	Prec@5 61.719 (62.731)
Epoch: [5][8580/14090]	Time 0.733 (0.751)	Data 0.002 (0.001)	Loss 2.8576 (2.8510)	Prec@1 36.719 (32.705)	Prec@5 67.188 (62.734)
Epoch: [5][8590/14090]	Time 0.772 (0.751)	Data 0.001 (0.001)	Loss 2.7506 (2.8510)	Prec@1 28.125 (32.704)	Prec@5 64.062 (62.734)
Epoch: [5][8600/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 2.8205 (2.8511)	Prec@1 35.938 (32.704)	Prec@5 61.719 (62.732)
Epoch: [5][8610/14090]	Time 0.729 (0.751)	Data 0.001 (0.001)	Loss 2.8734 (2.8510)	Prec@1 30.469 (32.704)	Prec@5 59.375 (62.733)
Epoch: [5][8620/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 2.3320 (2.8510)	Prec@1 43.750 (32.706)	Prec@5 74.219 (62.733)
Epoch: [5][8630/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.6321 (2.8511)	Prec@1 33.594 (32.704)	Prec@5 66.406 (62.734)
Epoch: [5][8640/14090]	Time 0.764 (0.751)	Data 0.001 (0.001)	Loss 2.9724 (2.8511)	Prec@1 29.688 (32.706)	Prec@5 60.156 (62.734)
Epoch: [5][8650/14090]	Time 0.754 (0.751)	Data 0.002 (0.001)	Loss 2.8285 (2.8510)	Prec@1 29.688 (32.706)	Prec@5 64.062 (62.736)
Epoch: [5][8660/14090]	Time 0.725 (0.751)	Data 0.001 (0.001)	Loss 2.9836 (2.8511)	Prec@1 28.906 (32.705)	Prec@5 61.719 (62.734)
Epoch: [5][8670/14090]	Time 0.728 (0.751)	Data 0.001 (0.001)	Loss 2.6984 (2.8511)	Prec@1 35.938 (32.706)	Prec@5 64.062 (62.733)
Epoch: [5][8680/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.7792 (2.8510)	Prec@1 33.594 (32.707)	Prec@5 60.938 (62.736)
Epoch: [5][8690/14090]	Time 0.731 (0.751)	Data 0.001 (0.001)	Loss 2.6947 (2.8511)	Prec@1 33.594 (32.706)	Prec@5 64.062 (62.734)
Epoch: [5][8700/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 2.9155 (2.8511)	Prec@1 28.125 (32.706)	Prec@5 57.812 (62.732)
Epoch: [5][8710/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 2.8563 (2.8511)	Prec@1 31.250 (32.707)	Prec@5 60.938 (62.732)
Epoch: [5][8720/14090]	Time 0.728 (0.751)	Data 0.001 (0.001)	Loss 2.9628 (2.8510)	Prec@1 34.375 (32.708)	Prec@5 53.906 (62.734)
Epoch: [5][8730/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 2.6430 (2.8510)	Prec@1 39.062 (32.709)	Prec@5 65.625 (62.736)
Epoch: [5][8740/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 2.8055 (2.8508)	Prec@1 32.812 (32.711)	Prec@5 59.375 (62.742)
Epoch: [5][8750/14090]	Time 0.743 (0.751)	Data 0.001 (0.001)	Loss 3.0282 (2.8508)	Prec@1 28.125 (32.710)	Prec@5 61.719 (62.742)
Epoch: [5][8760/14090]	Time 0.730 (0.751)	Data 0.001 (0.001)	Loss 3.1059 (2.8509)	Prec@1 31.250 (32.710)	Prec@5 60.938 (62.742)
Epoch: [5][8770/14090]	Time 0.731 (0.751)	Data 0.001 (0.001)	Loss 2.7486 (2.8508)	Prec@1 35.156 (32.711)	Prec@5 67.188 (62.743)
Epoch: [5][8780/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.7669 (2.8507)	Prec@1 33.594 (32.713)	Prec@5 62.500 (62.745)
Epoch: [5][8790/14090]	Time 0.744 (0.751)	Data 0.002 (0.001)	Loss 2.9818 (2.8507)	Prec@1 28.906 (32.714)	Prec@5 56.250 (62.746)
Epoch: [5][8800/14090]	Time 0.742 (0.751)	Data 0.001 (0.001)	Loss 3.0797 (2.8507)	Prec@1 27.344 (32.712)	Prec@5 58.594 (62.745)
Epoch: [5][8810/14090]	Time 0.772 (0.751)	Data 0.001 (0.001)	Loss 2.7655 (2.8507)	Prec@1 38.281 (32.714)	Prec@5 58.594 (62.744)
Epoch: [5][8820/14090]	Time 0.722 (0.751)	Data 0.001 (0.001)	Loss 3.1840 (2.8508)	Prec@1 25.781 (32.710)	Prec@5 51.562 (62.743)
Epoch: [5][8830/14090]	Time 0.726 (0.751)	Data 0.001 (0.001)	Loss 2.8343 (2.8508)	Prec@1 39.062 (32.710)	Prec@5 63.281 (62.742)
Epoch: [5][8840/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 2.9068 (2.8507)	Prec@1 34.375 (32.712)	Prec@5 58.594 (62.744)
Epoch: [5][8850/14090]	Time 0.727 (0.751)	Data 0.001 (0.001)	Loss 2.9486 (2.8507)	Prec@1 24.219 (32.710)	Prec@5 64.062 (62.744)
Epoch: [5][8860/14090]	Time 0.738 (0.751)	Data 0.002 (0.001)	Loss 2.9782 (2.8507)	Prec@1 32.812 (32.712)	Prec@5 60.938 (62.744)
Epoch: [5][8870/14090]	Time 0.767 (0.751)	Data 0.001 (0.001)	Loss 2.8052 (2.8506)	Prec@1 35.938 (32.713)	Prec@5 60.156 (62.745)
Epoch: [5][8880/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 2.6494 (2.8506)	Prec@1 40.625 (32.713)	Prec@5 67.969 (62.745)
Epoch: [5][8890/14090]	Time 0.742 (0.751)	Data 0.001 (0.001)	Loss 3.1725 (2.8506)	Prec@1 31.250 (32.714)	Prec@5 57.812 (62.745)
Epoch: [5][8900/14090]	Time 0.726 (0.751)	Data 0.001 (0.001)	Loss 2.7761 (2.8505)	Prec@1 35.156 (32.716)	Prec@5 66.406 (62.747)
Epoch: [5][8910/14090]	Time 0.765 (0.751)	Data 0.001 (0.001)	Loss 2.8056 (2.8506)	Prec@1 36.719 (32.714)	Prec@5 60.156 (62.743)
Epoch: [5][8920/14090]	Time 0.740 (0.751)	Data 0.002 (0.001)	Loss 2.7124 (2.8507)	Prec@1 39.844 (32.712)	Prec@5 60.156 (62.741)
Epoch: [5][8930/14090]	Time 0.751 (0.751)	Data 0.002 (0.001)	Loss 2.8617 (2.8507)	Prec@1 37.500 (32.712)	Prec@5 63.281 (62.741)
Epoch: [5][8940/14090]	Time 0.773 (0.751)	Data 0.001 (0.001)	Loss 2.7375 (2.8507)	Prec@1 31.250 (32.713)	Prec@5 65.625 (62.743)
Epoch: [5][8950/14090]	Time 0.734 (0.751)	Data 0.001 (0.001)	Loss 2.8577 (2.8506)	Prec@1 36.719 (32.712)	Prec@5 57.812 (62.742)
Epoch: [5][8960/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 2.7433 (2.8506)	Prec@1 32.812 (32.714)	Prec@5 66.406 (62.742)
Epoch: [5][8970/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 2.7045 (2.8506)	Prec@1 30.469 (32.712)	Prec@5 71.094 (62.740)
Epoch: [5][8980/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.7263 (2.8506)	Prec@1 33.594 (32.712)	Prec@5 64.062 (62.741)
Epoch: [5][8990/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 2.4735 (2.8506)	Prec@1 41.406 (32.714)	Prec@5 67.188 (62.741)
Epoch: [5][9000/14090]	Time 0.727 (0.751)	Data 0.002 (0.001)	Loss 2.5070 (2.8505)	Prec@1 37.500 (32.715)	Prec@5 64.844 (62.743)
Epoch: [5][9010/14090]	Time 0.757 (0.751)	Data 0.001 (0.001)	Loss 2.6507 (2.8505)	Prec@1 35.938 (32.716)	Prec@5 64.062 (62.742)
Epoch: [5][9020/14090]	Time 0.742 (0.751)	Data 0.001 (0.001)	Loss 2.5452 (2.8504)	Prec@1 35.156 (32.718)	Prec@5 67.969 (62.743)
Epoch: [5][9030/14090]	Time 0.759 (0.751)	Data 0.001 (0.001)	Loss 2.8404 (2.8504)	Prec@1 34.375 (32.719)	Prec@5 65.625 (62.745)
Epoch: [5][9040/14090]	Time 0.731 (0.751)	Data 0.001 (0.001)	Loss 3.0613 (2.8503)	Prec@1 25.781 (32.717)	Prec@5 54.688 (62.745)
Epoch: [5][9050/14090]	Time 0.762 (0.751)	Data 0.001 (0.001)	Loss 2.6249 (2.8504)	Prec@1 34.375 (32.718)	Prec@5 66.406 (62.743)
Epoch: [5][9060/14090]	Time 0.729 (0.751)	Data 0.001 (0.001)	Loss 2.8739 (2.8503)	Prec@1 35.938 (32.719)	Prec@5 59.375 (62.745)
Epoch: [5][9070/14090]	Time 0.778 (0.751)	Data 0.002 (0.001)	Loss 2.9139 (2.8503)	Prec@1 31.250 (32.718)	Prec@5 61.719 (62.745)
Epoch: [5][9080/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 3.2879 (2.8504)	Prec@1 26.562 (32.716)	Prec@5 53.125 (62.746)
Epoch: [5][9090/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 2.7677 (2.8504)	Prec@1 35.156 (32.714)	Prec@5 62.500 (62.745)
Epoch: [5][9100/14090]	Time 0.757 (0.751)	Data 0.001 (0.001)	Loss 2.6902 (2.8504)	Prec@1 41.406 (32.715)	Prec@5 63.281 (62.745)
Epoch: [5][9110/14090]	Time 0.726 (0.751)	Data 0.001 (0.001)	Loss 2.9593 (2.8504)	Prec@1 29.688 (32.717)	Prec@5 60.938 (62.746)
Epoch: [5][9120/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 2.7724 (2.8504)	Prec@1 36.719 (32.717)	Prec@5 64.062 (62.744)
Epoch: [5][9130/14090]	Time 0.737 (0.751)	Data 0.001 (0.001)	Loss 2.9473 (2.8504)	Prec@1 31.250 (32.715)	Prec@5 60.156 (62.744)
Epoch: [5][9140/14090]	Time 0.739 (0.751)	Data 0.002 (0.001)	Loss 2.9597 (2.8504)	Prec@1 28.906 (32.713)	Prec@5 57.031 (62.741)
Epoch: [5][9150/14090]	Time 0.761 (0.751)	Data 0.001 (0.001)	Loss 2.8623 (2.8504)	Prec@1 33.594 (32.714)	Prec@5 64.844 (62.742)
Epoch: [5][9160/14090]	Time 0.743 (0.751)	Data 0.001 (0.001)	Loss 3.0322 (2.8505)	Prec@1 31.250 (32.713)	Prec@5 56.250 (62.740)
Epoch: [5][9170/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 2.4857 (2.8505)	Prec@1 28.125 (32.712)	Prec@5 74.219 (62.740)
Epoch: [5][9180/14090]	Time 0.729 (0.751)	Data 0.001 (0.001)	Loss 2.9865 (2.8505)	Prec@1 31.250 (32.710)	Prec@5 59.375 (62.738)
Epoch: [5][9190/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 2.8848 (2.8505)	Prec@1 37.500 (32.712)	Prec@5 60.938 (62.738)
Epoch: [5][9200/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 2.8132 (2.8505)	Prec@1 34.375 (32.711)	Prec@5 63.281 (62.739)
Epoch: [5][9210/14090]	Time 0.750 (0.751)	Data 0.002 (0.001)	Loss 2.9729 (2.8504)	Prec@1 28.906 (32.713)	Prec@5 54.688 (62.739)
Epoch: [5][9220/14090]	Time 0.731 (0.751)	Data 0.001 (0.001)	Loss 2.7546 (2.8504)	Prec@1 39.062 (32.713)	Prec@5 62.500 (62.739)
Epoch: [5][9230/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 2.5446 (2.8504)	Prec@1 42.188 (32.714)	Prec@5 68.750 (62.738)
Epoch: [5][9240/14090]	Time 0.788 (0.751)	Data 0.001 (0.001)	Loss 2.8750 (2.8504)	Prec@1 32.031 (32.714)	Prec@5 60.938 (62.741)
Epoch: [5][9250/14090]	Time 0.775 (0.751)	Data 0.001 (0.001)	Loss 2.9748 (2.8505)	Prec@1 32.031 (32.715)	Prec@5 60.156 (62.739)
Epoch: [5][9260/14090]	Time 0.741 (0.751)	Data 0.001 (0.001)	Loss 2.5598 (2.8504)	Prec@1 35.156 (32.714)	Prec@5 70.312 (62.739)
Epoch: [5][9270/14090]	Time 0.729 (0.751)	Data 0.001 (0.001)	Loss 3.0486 (2.8504)	Prec@1 32.812 (32.715)	Prec@5 60.156 (62.741)
Epoch: [5][9280/14090]	Time 0.769 (0.751)	Data 0.002 (0.001)	Loss 2.8997 (2.8505)	Prec@1 32.031 (32.714)	Prec@5 61.719 (62.740)
Epoch: [5][9290/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 2.8090 (2.8504)	Prec@1 31.250 (32.715)	Prec@5 61.719 (62.740)
Epoch: [5][9300/14090]	Time 0.739 (0.751)	Data 0.001 (0.001)	Loss 2.9097 (2.8504)	Prec@1 31.250 (32.718)	Prec@5 59.375 (62.741)
Epoch: [5][9310/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 2.6978 (2.8503)	Prec@1 37.500 (32.719)	Prec@5 64.844 (62.741)
Epoch: [5][9320/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 2.9160 (2.8504)	Prec@1 34.375 (32.718)	Prec@5 61.719 (62.740)
Epoch: [5][9330/14090]	Time 0.741 (0.751)	Data 0.001 (0.001)	Loss 2.7746 (2.8504)	Prec@1 32.812 (32.719)	Prec@5 67.969 (62.741)
Epoch: [5][9340/14090]	Time 0.761 (0.751)	Data 0.001 (0.001)	Loss 2.8779 (2.8503)	Prec@1 34.375 (32.721)	Prec@5 65.625 (62.743)
Epoch: [5][9350/14090]	Time 0.732 (0.750)	Data 0.002 (0.001)	Loss 2.6625 (2.8502)	Prec@1 33.594 (32.724)	Prec@5 67.969 (62.746)
Epoch: [5][9360/14090]	Time 0.760 (0.750)	Data 0.001 (0.001)	Loss 3.2413 (2.8503)	Prec@1 28.906 (32.724)	Prec@5 57.812 (62.743)
Epoch: [5][9370/14090]	Time 0.727 (0.750)	Data 0.001 (0.001)	Loss 2.9797 (2.8504)	Prec@1 31.250 (32.720)	Prec@5 63.281 (62.743)
Epoch: [5][9380/14090]	Time 0.782 (0.750)	Data 0.001 (0.001)	Loss 2.8431 (2.8504)	Prec@1 33.594 (32.719)	Prec@5 59.375 (62.741)
Epoch: [5][9390/14090]	Time 0.732 (0.750)	Data 0.001 (0.001)	Loss 2.9675 (2.8504)	Prec@1 24.219 (32.718)	Prec@5 61.719 (62.742)
Epoch: [5][9400/14090]	Time 0.730 (0.750)	Data 0.001 (0.001)	Loss 2.8419 (2.8504)	Prec@1 32.812 (32.718)	Prec@5 59.375 (62.743)
Epoch: [5][9410/14090]	Time 0.743 (0.750)	Data 0.001 (0.001)	Loss 2.9115 (2.8504)	Prec@1 38.281 (32.718)	Prec@5 60.938 (62.743)
Epoch: [5][9420/14090]	Time 0.777 (0.750)	Data 0.002 (0.001)	Loss 2.7917 (2.8504)	Prec@1 29.688 (32.716)	Prec@5 65.625 (62.743)
Epoch: [5][9430/14090]	Time 0.740 (0.750)	Data 0.001 (0.001)	Loss 2.6922 (2.8504)	Prec@1 40.625 (32.717)	Prec@5 68.750 (62.746)
Epoch: [5][9440/14090]	Time 0.770 (0.750)	Data 0.001 (0.001)	Loss 2.9981 (2.8504)	Prec@1 32.031 (32.716)	Prec@5 61.719 (62.746)
Epoch: [5][9450/14090]	Time 0.737 (0.750)	Data 0.001 (0.001)	Loss 2.5279 (2.8503)	Prec@1 37.500 (32.718)	Prec@5 67.969 (62.748)
Epoch: [5][9460/14090]	Time 0.796 (0.750)	Data 0.001 (0.001)	Loss 3.1430 (2.8504)	Prec@1 25.781 (32.717)	Prec@5 55.469 (62.744)
Epoch: [5][9470/14090]	Time 0.732 (0.750)	Data 0.001 (0.001)	Loss 2.7681 (2.8504)	Prec@1 35.938 (32.718)	Prec@5 64.844 (62.745)
Epoch: [5][9480/14090]	Time 0.750 (0.750)	Data 0.001 (0.001)	Loss 3.0487 (2.8504)	Prec@1 28.125 (32.717)	Prec@5 59.375 (62.744)
Epoch: [5][9490/14090]	Time 0.735 (0.750)	Data 0.001 (0.001)	Loss 2.8749 (2.8505)	Prec@1 36.719 (32.713)	Prec@5 60.938 (62.742)
Epoch: [5][9500/14090]	Time 0.774 (0.750)	Data 0.001 (0.001)	Loss 3.0022 (2.8505)	Prec@1 29.688 (32.714)	Prec@5 60.156 (62.742)
Epoch: [5][9510/14090]	Time 0.727 (0.750)	Data 0.001 (0.001)	Loss 3.0936 (2.8506)	Prec@1 26.562 (32.712)	Prec@5 60.938 (62.740)
Epoch: [5][9520/14090]	Time 0.779 (0.750)	Data 0.001 (0.001)	Loss 3.3258 (2.8506)	Prec@1 21.875 (32.711)	Prec@5 53.906 (62.742)
Epoch: [5][9530/14090]	Time 0.756 (0.750)	Data 0.001 (0.001)	Loss 2.7982 (2.8506)	Prec@1 35.938 (32.712)	Prec@5 63.281 (62.740)
Epoch: [5][9540/14090]	Time 0.753 (0.750)	Data 0.001 (0.001)	Loss 2.6298 (2.8506)	Prec@1 39.062 (32.713)	Prec@5 63.281 (62.741)
Epoch: [5][9550/14090]	Time 0.738 (0.750)	Data 0.001 (0.001)	Loss 3.4003 (2.8508)	Prec@1 22.656 (32.709)	Prec@5 52.344 (62.737)
Epoch: [5][9560/14090]	Time 0.776 (0.750)	Data 0.002 (0.001)	Loss 2.8758 (2.8508)	Prec@1 36.719 (32.708)	Prec@5 60.156 (62.736)
Epoch: [5][9570/14090]	Time 0.726 (0.750)	Data 0.001 (0.001)	Loss 2.9172 (2.8509)	Prec@1 32.031 (32.708)	Prec@5 58.594 (62.735)
Epoch: [5][9580/14090]	Time 0.749 (0.750)	Data 0.001 (0.001)	Loss 2.7840 (2.8508)	Prec@1 35.156 (32.710)	Prec@5 61.719 (62.737)
Epoch: [5][9590/14090]	Time 0.730 (0.750)	Data 0.001 (0.001)	Loss 2.8817 (2.8508)	Prec@1 32.812 (32.710)	Prec@5 58.594 (62.736)
Epoch: [5][9600/14090]	Time 0.742 (0.750)	Data 0.001 (0.001)	Loss 3.0470 (2.8508)	Prec@1 27.344 (32.710)	Prec@5 57.031 (62.737)
Epoch: [5][9610/14090]	Time 0.753 (0.750)	Data 0.001 (0.001)	Loss 2.8006 (2.8508)	Prec@1 37.500 (32.709)	Prec@5 58.594 (62.735)
Epoch: [5][9620/14090]	Time 0.752 (0.750)	Data 0.001 (0.001)	Loss 2.7763 (2.8508)	Prec@1 32.812 (32.710)	Prec@5 64.062 (62.736)
Epoch: [5][9630/14090]	Time 0.720 (0.750)	Data 0.002 (0.001)	Loss 3.0278 (2.8508)	Prec@1 27.344 (32.709)	Prec@5 57.812 (62.736)
Epoch: [5][9640/14090]	Time 0.725 (0.750)	Data 0.001 (0.001)	Loss 2.9125 (2.8509)	Prec@1 32.812 (32.709)	Prec@5 64.844 (62.735)
Epoch: [5][9650/14090]	Time 0.750 (0.750)	Data 0.001 (0.001)	Loss 2.8123 (2.8509)	Prec@1 32.812 (32.708)	Prec@5 66.406 (62.734)
Epoch: [5][9660/14090]	Time 0.752 (0.750)	Data 0.001 (0.001)	Loss 2.6033 (2.8510)	Prec@1 37.500 (32.708)	Prec@5 66.406 (62.734)
Epoch: [5][9670/14090]	Time 0.741 (0.750)	Data 0.001 (0.001)	Loss 2.7344 (2.8509)	Prec@1 38.281 (32.709)	Prec@5 60.938 (62.735)
Epoch: [5][9680/14090]	Time 0.773 (0.750)	Data 0.001 (0.001)	Loss 2.6765 (2.8509)	Prec@1 39.844 (32.708)	Prec@5 70.312 (62.737)
Epoch: [5][9690/14090]	Time 0.774 (0.750)	Data 0.001 (0.001)	Loss 3.0731 (2.8509)	Prec@1 28.125 (32.708)	Prec@5 58.594 (62.738)
Epoch: [5][9700/14090]	Time 0.741 (0.750)	Data 0.002 (0.001)	Loss 2.5925 (2.8509)	Prec@1 39.844 (32.707)	Prec@5 72.656 (62.740)
Epoch: [5][9710/14090]	Time 0.735 (0.750)	Data 0.001 (0.001)	Loss 2.7514 (2.8509)	Prec@1 32.031 (32.705)	Prec@5 65.625 (62.739)
Epoch: [5][9720/14090]	Time 0.759 (0.750)	Data 0.001 (0.001)	Loss 3.2587 (2.8509)	Prec@1 27.344 (32.705)	Prec@5 59.375 (62.742)
Epoch: [5][9730/14090]	Time 0.733 (0.750)	Data 0.001 (0.001)	Loss 2.6635 (2.8508)	Prec@1 28.906 (32.704)	Prec@5 66.406 (62.744)
Epoch: [5][9740/14090]	Time 0.775 (0.750)	Data 0.001 (0.001)	Loss 2.9368 (2.8509)	Prec@1 28.906 (32.704)	Prec@5 58.594 (62.742)
Epoch: [5][9750/14090]	Time 0.735 (0.750)	Data 0.001 (0.001)	Loss 2.8793 (2.8509)	Prec@1 28.906 (32.702)	Prec@5 59.375 (62.742)
Epoch: [5][9760/14090]	Time 0.747 (0.750)	Data 0.001 (0.001)	Loss 2.7844 (2.8509)	Prec@1 32.812 (32.701)	Prec@5 67.188 (62.742)
Epoch: [5][9770/14090]	Time 0.751 (0.750)	Data 0.002 (0.001)	Loss 2.6219 (2.8509)	Prec@1 33.594 (32.701)	Prec@5 67.188 (62.743)
Epoch: [5][9780/14090]	Time 0.759 (0.750)	Data 0.001 (0.001)	Loss 2.5935 (2.8508)	Prec@1 35.156 (32.703)	Prec@5 65.625 (62.744)
Epoch: [5][9790/14090]	Time 0.777 (0.750)	Data 0.001 (0.001)	Loss 2.7941 (2.8507)	Prec@1 35.938 (32.704)	Prec@5 62.500 (62.746)
Epoch: [5][9800/14090]	Time 0.763 (0.750)	Data 0.001 (0.001)	Loss 2.7915 (2.8507)	Prec@1 36.719 (32.705)	Prec@5 57.812 (62.746)
Epoch: [5][9810/14090]	Time 0.735 (0.750)	Data 0.001 (0.001)	Loss 2.9191 (2.8508)	Prec@1 28.906 (32.704)	Prec@5 64.844 (62.747)
Epoch: [5][9820/14090]	Time 0.771 (0.750)	Data 0.001 (0.001)	Loss 2.7693 (2.8507)	Prec@1 34.375 (32.704)	Prec@5 71.094 (62.748)
Epoch: [5][9830/14090]	Time 0.748 (0.750)	Data 0.001 (0.001)	Loss 2.8437 (2.8508)	Prec@1 34.375 (32.704)	Prec@5 64.062 (62.747)
Epoch: [5][9840/14090]	Time 0.765 (0.750)	Data 0.002 (0.001)	Loss 3.0368 (2.8509)	Prec@1 30.469 (32.702)	Prec@5 60.938 (62.746)
Epoch: [5][9850/14090]	Time 0.738 (0.750)	Data 0.001 (0.001)	Loss 2.6090 (2.8508)	Prec@1 33.594 (32.703)	Prec@5 67.969 (62.748)
Epoch: [5][9860/14090]	Time 0.768 (0.750)	Data 0.001 (0.001)	Loss 3.1861 (2.8509)	Prec@1 25.781 (32.700)	Prec@5 53.125 (62.746)
Epoch: [5][9870/14090]	Time 0.749 (0.750)	Data 0.001 (0.001)	Loss 3.3599 (2.8509)	Prec@1 28.906 (32.700)	Prec@5 53.125 (62.746)
Epoch: [5][9880/14090]	Time 0.743 (0.750)	Data 0.001 (0.001)	Loss 2.6609 (2.8508)	Prec@1 36.719 (32.701)	Prec@5 67.969 (62.747)
Epoch: [5][9890/14090]	Time 0.772 (0.750)	Data 0.001 (0.001)	Loss 2.8750 (2.8508)	Prec@1 36.719 (32.701)	Prec@5 60.156 (62.746)
Epoch: [5][9900/14090]	Time 0.742 (0.750)	Data 0.001 (0.001)	Loss 3.1491 (2.8509)	Prec@1 25.000 (32.699)	Prec@5 53.906 (62.744)
Epoch: [5][9910/14090]	Time 0.753 (0.750)	Data 0.002 (0.001)	Loss 2.8685 (2.8507)	Prec@1 30.469 (32.703)	Prec@5 62.500 (62.748)
Epoch: [5][9920/14090]	Time 0.768 (0.750)	Data 0.001 (0.001)	Loss 2.9106 (2.8507)	Prec@1 33.594 (32.704)	Prec@5 60.156 (62.748)
Epoch: [5][9930/14090]	Time 0.745 (0.750)	Data 0.001 (0.001)	Loss 2.6315 (2.8507)	Prec@1 36.719 (32.704)	Prec@5 63.281 (62.748)
Epoch: [5][9940/14090]	Time 0.738 (0.750)	Data 0.001 (0.001)	Loss 2.5814 (2.8506)	Prec@1 41.406 (32.706)	Prec@5 69.531 (62.750)
Epoch: [5][9950/14090]	Time 0.723 (0.750)	Data 0.001 (0.001)	Loss 2.8965 (2.8507)	Prec@1 31.250 (32.705)	Prec@5 62.500 (62.748)
Epoch: [5][9960/14090]	Time 0.753 (0.750)	Data 0.001 (0.001)	Loss 2.7205 (2.8506)	Prec@1 33.594 (32.705)	Prec@5 66.406 (62.748)
Epoch: [5][9970/14090]	Time 0.748 (0.750)	Data 0.001 (0.001)	Loss 2.8680 (2.8506)	Prec@1 32.031 (32.705)	Prec@5 61.719 (62.747)
Epoch: [5][9980/14090]	Time 0.765 (0.750)	Data 0.002 (0.001)	Loss 2.7223 (2.8507)	Prec@1 35.938 (32.702)	Prec@5 67.969 (62.745)
Epoch: [5][9990/14090]	Time 0.751 (0.750)	Data 0.001 (0.001)	Loss 3.0375 (2.8507)	Prec@1 27.344 (32.702)	Prec@5 60.938 (62.746)
Epoch: [5][10000/14090]	Time 0.769 (0.750)	Data 0.001 (0.001)	Loss 2.6400 (2.8506)	Prec@1 32.031 (32.704)	Prec@5 65.625 (62.748)
Epoch: [5][10010/14090]	Time 0.758 (0.750)	Data 0.001 (0.001)	Loss 2.4840 (2.8507)	Prec@1 41.406 (32.704)	Prec@5 69.531 (62.747)
Epoch: [5][10020/14090]	Time 0.740 (0.750)	Data 0.001 (0.001)	Loss 2.7587 (2.8507)	Prec@1 32.812 (32.703)	Prec@5 64.062 (62.746)
Epoch: [5][10030/14090]	Time 0.734 (0.750)	Data 0.001 (0.001)	Loss 2.6792 (2.8508)	Prec@1 32.031 (32.701)	Prec@5 66.406 (62.745)
Epoch: [5][10040/14090]	Time 0.753 (0.750)	Data 0.001 (0.001)	Loss 2.8576 (2.8508)	Prec@1 36.719 (32.701)	Prec@5 61.719 (62.744)
Epoch: [5][10050/14090]	Time 0.752 (0.750)	Data 0.002 (0.001)	Loss 2.6328 (2.8508)	Prec@1 35.156 (32.700)	Prec@5 60.938 (62.743)
Epoch: [5][10060/14090]	Time 0.738 (0.750)	Data 0.001 (0.001)	Loss 2.8477 (2.8508)	Prec@1 35.938 (32.701)	Prec@5 58.594 (62.743)
Epoch: [5][10070/14090]	Time 0.762 (0.750)	Data 0.001 (0.001)	Loss 3.1037 (2.8508)	Prec@1 28.125 (32.701)	Prec@5 57.812 (62.742)
Epoch: [5][10080/14090]	Time 0.730 (0.750)	Data 0.001 (0.001)	Loss 2.8415 (2.8508)	Prec@1 37.500 (32.702)	Prec@5 58.594 (62.744)
Epoch: [5][10090/14090]	Time 0.755 (0.750)	Data 0.001 (0.001)	Loss 2.9881 (2.8508)	Prec@1 29.688 (32.703)	Prec@5 57.031 (62.744)
Epoch: [5][10100/14090]	Time 0.765 (0.750)	Data 0.001 (0.001)	Loss 2.8411 (2.8508)	Prec@1 34.375 (32.701)	Prec@5 63.281 (62.742)
Epoch: [5][10110/14090]	Time 0.758 (0.750)	Data 0.001 (0.001)	Loss 2.8537 (2.8508)	Prec@1 31.250 (32.702)	Prec@5 61.719 (62.742)
Epoch: [5][10120/14090]	Time 0.747 (0.750)	Data 0.002 (0.001)	Loss 2.9611 (2.8507)	Prec@1 29.688 (32.703)	Prec@5 60.156 (62.745)
Epoch: [5][10130/14090]	Time 0.753 (0.750)	Data 0.001 (0.001)	Loss 2.8985 (2.8507)	Prec@1 31.250 (32.702)	Prec@5 60.938 (62.745)
Epoch: [5][10140/14090]	Time 0.744 (0.750)	Data 0.001 (0.001)	Loss 2.8688 (2.8507)	Prec@1 30.469 (32.705)	Prec@5 63.281 (62.746)
Epoch: [5][10150/14090]	Time 0.756 (0.750)	Data 0.001 (0.001)	Loss 2.7444 (2.8506)	Prec@1 34.375 (32.706)	Prec@5 67.188 (62.747)
Epoch: [5][10160/14090]	Time 0.751 (0.750)	Data 0.001 (0.001)	Loss 2.7829 (2.8505)	Prec@1 39.844 (32.710)	Prec@5 54.688 (62.749)
Epoch: [5][10170/14090]	Time 0.740 (0.750)	Data 0.001 (0.001)	Loss 3.0573 (2.8506)	Prec@1 32.031 (32.709)	Prec@5 58.594 (62.748)
Epoch: [5][10180/14090]	Time 0.756 (0.750)	Data 0.001 (0.001)	Loss 2.6509 (2.8505)	Prec@1 35.938 (32.710)	Prec@5 68.750 (62.750)
Epoch: [5][10190/14090]	Time 0.777 (0.750)	Data 0.002 (0.001)	Loss 2.9521 (2.8506)	Prec@1 32.812 (32.707)	Prec@5 60.156 (62.748)
Epoch: [5][10200/14090]	Time 0.754 (0.750)	Data 0.001 (0.001)	Loss 3.0604 (2.8507)	Prec@1 28.125 (32.706)	Prec@5 59.375 (62.746)
Epoch: [5][10210/14090]	Time 0.732 (0.750)	Data 0.001 (0.001)	Loss 2.7379 (2.8507)	Prec@1 31.250 (32.706)	Prec@5 64.062 (62.745)
Epoch: [5][10220/14090]	Time 0.758 (0.750)	Data 0.001 (0.001)	Loss 2.8241 (2.8507)	Prec@1 32.031 (32.706)	Prec@5 60.938 (62.746)
Epoch: [5][10230/14090]	Time 0.754 (0.750)	Data 0.001 (0.001)	Loss 2.9155 (2.8508)	Prec@1 28.906 (32.706)	Prec@5 62.500 (62.745)
Epoch: [5][10240/14090]	Time 0.756 (0.750)	Data 0.001 (0.001)	Loss 2.8443 (2.8508)	Prec@1 38.281 (32.707)	Prec@5 61.719 (62.745)
Epoch: [5][10250/14090]	Time 0.771 (0.750)	Data 0.001 (0.001)	Loss 2.8868 (2.8508)	Prec@1 32.031 (32.707)	Prec@5 63.281 (62.745)
Epoch: [5][10260/14090]	Time 0.763 (0.750)	Data 0.002 (0.001)	Loss 2.6924 (2.8508)	Prec@1 32.812 (32.707)	Prec@5 66.406 (62.744)
Epoch: [5][10270/14090]	Time 0.746 (0.750)	Data 0.001 (0.001)	Loss 2.5959 (2.8508)	Prec@1 35.156 (32.707)	Prec@5 75.000 (62.747)
Epoch: [5][10280/14090]	Time 0.737 (0.750)	Data 0.001 (0.001)	Loss 2.6148 (2.8507)	Prec@1 41.406 (32.708)	Prec@5 66.406 (62.747)
Epoch: [5][10290/14090]	Time 0.752 (0.750)	Data 0.001 (0.001)	Loss 3.0318 (2.8508)	Prec@1 25.000 (32.707)	Prec@5 58.594 (62.745)
Epoch: [5][10300/14090]	Time 0.736 (0.750)	Data 0.001 (0.001)	Loss 2.9565 (2.8508)	Prec@1 31.250 (32.706)	Prec@5 63.281 (62.745)
Epoch: [5][10310/14090]	Time 0.776 (0.750)	Data 0.001 (0.001)	Loss 2.8457 (2.8508)	Prec@1 34.375 (32.706)	Prec@5 62.500 (62.745)
Epoch: [5][10320/14090]	Time 0.741 (0.750)	Data 0.001 (0.001)	Loss 2.5144 (2.8508)	Prec@1 35.156 (32.707)	Prec@5 73.438 (62.746)
Epoch: [5][10330/14090]	Time 0.773 (0.750)	Data 0.002 (0.001)	Loss 2.4956 (2.8506)	Prec@1 41.406 (32.711)	Prec@5 72.656 (62.748)
Epoch: [5][10340/14090]	Time 0.762 (0.750)	Data 0.001 (0.001)	Loss 2.8762 (2.8506)	Prec@1 35.938 (32.710)	Prec@5 62.500 (62.748)
Epoch: [5][10350/14090]	Time 0.734 (0.750)	Data 0.001 (0.001)	Loss 2.6925 (2.8506)	Prec@1 32.031 (32.711)	Prec@5 74.219 (62.749)
Epoch: [5][10360/14090]	Time 0.734 (0.750)	Data 0.001 (0.001)	Loss 2.7200 (2.8506)	Prec@1 32.031 (32.713)	Prec@5 67.969 (62.751)
Epoch: [5][10370/14090]	Time 0.736 (0.750)	Data 0.001 (0.001)	Loss 2.6746 (2.8506)	Prec@1 38.281 (32.712)	Prec@5 67.188 (62.752)
Epoch: [5][10380/14090]	Time 0.727 (0.750)	Data 0.001 (0.001)	Loss 2.8305 (2.8507)	Prec@1 32.031 (32.712)	Prec@5 61.719 (62.751)
Epoch: [5][10390/14090]	Time 0.757 (0.750)	Data 0.001 (0.001)	Loss 2.8922 (2.8508)	Prec@1 32.031 (32.710)	Prec@5 66.406 (62.750)
Epoch: [5][10400/14090]	Time 0.729 (0.750)	Data 0.002 (0.001)	Loss 3.0410 (2.8507)	Prec@1 26.562 (32.710)	Prec@5 57.812 (62.751)
Epoch: [5][10410/14090]	Time 0.730 (0.750)	Data 0.001 (0.001)	Loss 2.8638 (2.8507)	Prec@1 34.375 (32.710)	Prec@5 63.281 (62.752)
Epoch: [5][10420/14090]	Time 0.751 (0.750)	Data 0.001 (0.001)	Loss 2.9896 (2.8508)	Prec@1 31.250 (32.710)	Prec@5 61.719 (62.750)
Epoch: [5][10430/14090]	Time 0.744 (0.750)	Data 0.001 (0.001)	Loss 2.9072 (2.8508)	Prec@1 29.688 (32.709)	Prec@5 63.281 (62.749)
Epoch: [5][10440/14090]	Time 0.775 (0.750)	Data 0.001 (0.001)	Loss 2.9236 (2.8507)	Prec@1 29.688 (32.710)	Prec@5 58.594 (62.749)
Epoch: [5][10450/14090]	Time 0.759 (0.750)	Data 0.001 (0.001)	Loss 2.7471 (2.8507)	Prec@1 31.250 (32.711)	Prec@5 64.844 (62.750)
Epoch: [5][10460/14090]	Time 0.739 (0.750)	Data 0.001 (0.001)	Loss 2.6921 (2.8506)	Prec@1 36.719 (32.713)	Prec@5 64.844 (62.751)
Epoch: [5][10470/14090]	Time 0.777 (0.750)	Data 0.003 (0.001)	Loss 2.6835 (2.8506)	Prec@1 39.844 (32.713)	Prec@5 62.500 (62.751)
Epoch: [5][10480/14090]	Time 0.736 (0.750)	Data 0.001 (0.001)	Loss 2.7796 (2.8505)	Prec@1 31.250 (32.714)	Prec@5 63.281 (62.753)
Epoch: [5][10490/14090]	Time 0.762 (0.750)	Data 0.001 (0.001)	Loss 2.7021 (2.8504)	Prec@1 42.188 (32.717)	Prec@5 58.594 (62.754)
Epoch: [5][10500/14090]	Time 0.748 (0.750)	Data 0.001 (0.001)	Loss 2.6209 (2.8503)	Prec@1 40.625 (32.718)	Prec@5 68.750 (62.755)
Epoch: [5][10510/14090]	Time 0.773 (0.750)	Data 0.001 (0.001)	Loss 2.9296 (2.8503)	Prec@1 25.781 (32.715)	Prec@5 59.375 (62.755)
Epoch: [5][10520/14090]	Time 0.738 (0.750)	Data 0.001 (0.001)	Loss 3.0086 (2.8503)	Prec@1 32.031 (32.716)	Prec@5 60.156 (62.756)
Epoch: [5][10530/14090]	Time 0.731 (0.750)	Data 0.001 (0.001)	Loss 2.6895 (2.8503)	Prec@1 36.719 (32.716)	Prec@5 60.938 (62.756)
Epoch: [5][10540/14090]	Time 0.735 (0.750)	Data 0.002 (0.001)	Loss 2.8417 (2.8502)	Prec@1 32.031 (32.717)	Prec@5 59.375 (62.755)
Epoch: [5][10550/14090]	Time 0.728 (0.750)	Data 0.001 (0.001)	Loss 2.9127 (2.8503)	Prec@1 30.469 (32.715)	Prec@5 62.500 (62.753)
Epoch: [5][10560/14090]	Time 0.748 (0.750)	Data 0.001 (0.001)	Loss 2.9423 (2.8504)	Prec@1 33.594 (32.714)	Prec@5 62.500 (62.753)
Epoch: [5][10570/14090]	Time 0.779 (0.750)	Data 0.001 (0.001)	Loss 2.9414 (2.8503)	Prec@1 36.719 (32.714)	Prec@5 60.938 (62.753)
Epoch: [5][10580/14090]	Time 0.767 (0.750)	Data 0.001 (0.001)	Loss 3.1478 (2.8503)	Prec@1 26.562 (32.714)	Prec@5 54.688 (62.753)
Epoch: [5][10590/14090]	Time 0.733 (0.750)	Data 0.001 (0.001)	Loss 3.0786 (2.8504)	Prec@1 27.344 (32.711)	Prec@5 60.938 (62.752)
Epoch: [5][10600/14090]	Time 0.775 (0.750)	Data 0.001 (0.001)	Loss 3.0694 (2.8504)	Prec@1 21.094 (32.709)	Prec@5 57.812 (62.751)
Epoch: [5][10610/14090]	Time 0.748 (0.750)	Data 0.002 (0.001)	Loss 2.7721 (2.8505)	Prec@1 32.812 (32.708)	Prec@5 67.969 (62.750)
Epoch: [5][10620/14090]	Time 0.732 (0.750)	Data 0.001 (0.001)	Loss 2.9308 (2.8505)	Prec@1 32.812 (32.707)	Prec@5 59.375 (62.747)
Epoch: [5][10630/14090]	Time 0.757 (0.750)	Data 0.001 (0.001)	Loss 3.0272 (2.8506)	Prec@1 30.469 (32.708)	Prec@5 58.594 (62.748)
Epoch: [5][10640/14090]	Time 0.745 (0.750)	Data 0.001 (0.001)	Loss 2.8416 (2.8506)	Prec@1 32.812 (32.707)	Prec@5 60.156 (62.748)
Epoch: [5][10650/14090]	Time 0.755 (0.750)	Data 0.001 (0.001)	Loss 2.8527 (2.8505)	Prec@1 33.594 (32.708)	Prec@5 61.719 (62.748)
Epoch: [5][10660/14090]	Time 0.735 (0.750)	Data 0.001 (0.001)	Loss 2.7871 (2.8505)	Prec@1 27.344 (32.708)	Prec@5 61.719 (62.750)
Epoch: [5][10670/14090]	Time 0.731 (0.750)	Data 0.001 (0.001)	Loss 2.6241 (2.8504)	Prec@1 32.031 (32.708)	Prec@5 59.375 (62.750)
Epoch: [5][10680/14090]	Time 0.727 (0.750)	Data 0.002 (0.001)	Loss 2.6225 (2.8504)	Prec@1 38.281 (32.708)	Prec@5 71.875 (62.749)
Epoch: [5][10690/14090]	Time 0.744 (0.750)	Data 0.001 (0.001)	Loss 3.1295 (2.8505)	Prec@1 25.781 (32.706)	Prec@5 57.031 (62.747)
Epoch: [5][10700/14090]	Time 0.764 (0.750)	Data 0.001 (0.001)	Loss 3.0949 (2.8505)	Prec@1 25.781 (32.707)	Prec@5 57.812 (62.746)
Epoch: [5][10710/14090]	Time 0.739 (0.750)	Data 0.001 (0.001)	Loss 2.9274 (2.8504)	Prec@1 31.250 (32.709)	Prec@5 59.375 (62.747)
Epoch: [5][10720/14090]	Time 0.772 (0.750)	Data 0.001 (0.001)	Loss 2.6393 (2.8503)	Prec@1 34.375 (32.709)	Prec@5 67.188 (62.751)
Epoch: [5][10730/14090]	Time 0.734 (0.750)	Data 0.001 (0.001)	Loss 2.9012 (2.8503)	Prec@1 32.031 (32.710)	Prec@5 60.938 (62.751)
Epoch: [5][10740/14090]	Time 0.752 (0.750)	Data 0.001 (0.001)	Loss 2.8465 (2.8503)	Prec@1 35.156 (32.710)	Prec@5 63.281 (62.752)
Epoch: [5][10750/14090]	Time 0.745 (0.750)	Data 0.002 (0.001)	Loss 3.1189 (2.8503)	Prec@1 29.688 (32.711)	Prec@5 57.812 (62.752)
Epoch: [5][10760/14090]	Time 0.761 (0.750)	Data 0.001 (0.001)	Loss 2.8392 (2.8503)	Prec@1 32.031 (32.708)	Prec@5 67.969 (62.753)
Epoch: [5][10770/14090]	Time 0.744 (0.750)	Data 0.001 (0.001)	Loss 2.9010 (2.8503)	Prec@1 35.156 (32.708)	Prec@5 58.594 (62.752)
Epoch: [5][10780/14090]	Time 0.758 (0.750)	Data 0.001 (0.001)	Loss 2.9917 (2.8503)	Prec@1 26.562 (32.708)	Prec@5 60.156 (62.753)
Epoch: [5][10790/14090]	Time 0.748 (0.750)	Data 0.001 (0.001)	Loss 2.9909 (2.8503)	Prec@1 25.781 (32.707)	Prec@5 55.469 (62.753)
Epoch: [5][10800/14090]	Time 0.778 (0.750)	Data 0.001 (0.001)	Loss 2.7437 (2.8503)	Prec@1 36.719 (32.706)	Prec@5 66.406 (62.754)
Epoch: [5][10810/14090]	Time 0.752 (0.750)	Data 0.001 (0.001)	Loss 2.7759 (2.8502)	Prec@1 39.062 (32.709)	Prec@5 60.938 (62.755)
Epoch: [5][10820/14090]	Time 0.765 (0.750)	Data 0.002 (0.001)	Loss 2.8267 (2.8502)	Prec@1 29.688 (32.709)	Prec@5 63.281 (62.757)
Epoch: [5][10830/14090]	Time 0.733 (0.750)	Data 0.001 (0.001)	Loss 3.0504 (2.8502)	Prec@1 32.812 (32.709)	Prec@5 59.375 (62.757)
Epoch: [5][10840/14090]	Time 0.756 (0.750)	Data 0.001 (0.001)	Loss 2.9273 (2.8502)	Prec@1 29.688 (32.710)	Prec@5 66.406 (62.757)
Epoch: [5][10850/14090]	Time 0.739 (0.750)	Data 0.001 (0.001)	Loss 2.8804 (2.8502)	Prec@1 33.594 (32.711)	Prec@5 60.938 (62.757)
Epoch: [5][10860/14090]	Time 0.748 (0.750)	Data 0.001 (0.001)	Loss 2.9756 (2.8502)	Prec@1 28.906 (32.710)	Prec@5 59.375 (62.755)
Epoch: [5][10870/14090]	Time 0.755 (0.750)	Data 0.001 (0.001)	Loss 2.9128 (2.8503)	Prec@1 30.469 (32.709)	Prec@5 59.375 (62.753)
Epoch: [5][10880/14090]	Time 0.733 (0.750)	Data 0.001 (0.001)	Loss 2.6434 (2.8503)	Prec@1 39.844 (32.710)	Prec@5 67.969 (62.753)
Epoch: [5][10890/14090]	Time 0.732 (0.750)	Data 0.002 (0.001)	Loss 2.8561 (2.8503)	Prec@1 34.375 (32.710)	Prec@5 61.719 (62.754)
Epoch: [5][10900/14090]	Time 0.733 (0.750)	Data 0.001 (0.001)	Loss 2.6246 (2.8502)	Prec@1 39.844 (32.712)	Prec@5 70.312 (62.756)
Epoch: [5][10910/14090]	Time 0.732 (0.750)	Data 0.001 (0.001)	Loss 2.8119 (2.8503)	Prec@1 33.594 (32.712)	Prec@5 60.938 (62.755)
Epoch: [5][10920/14090]	Time 0.755 (0.750)	Data 0.001 (0.001)	Loss 2.8606 (2.8503)	Prec@1 31.250 (32.712)	Prec@5 60.938 (62.755)
Epoch: [5][10930/14090]	Time 0.749 (0.750)	Data 0.001 (0.001)	Loss 2.7016 (2.8503)	Prec@1 35.156 (32.712)	Prec@5 63.281 (62.755)
Epoch: [5][10940/14090]	Time 0.755 (0.750)	Data 0.001 (0.001)	Loss 2.7190 (2.8503)	Prec@1 39.844 (32.713)	Prec@5 66.406 (62.755)
Epoch: [5][10950/14090]	Time 0.741 (0.750)	Data 0.001 (0.001)	Loss 2.7220 (2.8503)	Prec@1 30.469 (32.713)	Prec@5 60.156 (62.755)
Epoch: [5][10960/14090]	Time 0.749 (0.750)	Data 0.002 (0.001)	Loss 2.9262 (2.8503)	Prec@1 32.812 (32.714)	Prec@5 62.500 (62.755)
Epoch: [5][10970/14090]	Time 0.738 (0.750)	Data 0.001 (0.001)	Loss 3.0537 (2.8502)	Prec@1 29.688 (32.714)	Prec@5 57.812 (62.755)
Epoch: [5][10980/14090]	Time 0.783 (0.750)	Data 0.001 (0.001)	Loss 3.2460 (2.8502)	Prec@1 28.125 (32.714)	Prec@5 57.812 (62.756)
Epoch: [5][10990/14090]	Time 0.722 (0.750)	Data 0.001 (0.001)	Loss 2.5712 (2.8501)	Prec@1 32.031 (32.714)	Prec@5 67.188 (62.756)
Epoch: [5][11000/14090]	Time 0.764 (0.750)	Data 0.001 (0.001)	Loss 2.9029 (2.8501)	Prec@1 35.156 (32.714)	Prec@5 64.062 (62.756)
Epoch: [5][11010/14090]	Time 0.765 (0.750)	Data 0.001 (0.001)	Loss 2.8126 (2.8501)	Prec@1 33.594 (32.713)	Prec@5 60.938 (62.756)
Epoch: [5][11020/14090]	Time 0.771 (0.750)	Data 0.001 (0.001)	Loss 2.6697 (2.8502)	Prec@1 40.625 (32.713)	Prec@5 66.406 (62.758)
Epoch: [5][11030/14090]	Time 0.755 (0.750)	Data 0.002 (0.001)	Loss 3.2672 (2.8502)	Prec@1 21.094 (32.712)	Prec@5 52.344 (62.756)
Epoch: [5][11040/14090]	Time 0.744 (0.750)	Data 0.001 (0.001)	Loss 2.9003 (2.8502)	Prec@1 31.250 (32.712)	Prec@5 61.719 (62.756)
Epoch: [5][11050/14090]	Time 0.736 (0.750)	Data 0.001 (0.001)	Loss 2.7772 (2.8502)	Prec@1 34.375 (32.712)	Prec@5 63.281 (62.757)
Epoch: [5][11060/14090]	Time 0.757 (0.750)	Data 0.001 (0.001)	Loss 2.9197 (2.8502)	Prec@1 33.594 (32.712)	Prec@5 62.500 (62.756)
Epoch: [5][11070/14090]	Time 0.736 (0.750)	Data 0.001 (0.001)	Loss 2.9056 (2.8502)	Prec@1 35.156 (32.714)	Prec@5 58.594 (62.758)
Epoch: [5][11080/14090]	Time 0.752 (0.750)	Data 0.001 (0.001)	Loss 2.7858 (2.8501)	Prec@1 31.250 (32.716)	Prec@5 62.500 (62.760)
Epoch: [5][11090/14090]	Time 0.744 (0.750)	Data 0.001 (0.001)	Loss 2.7713 (2.8500)	Prec@1 32.812 (32.717)	Prec@5 60.156 (62.759)
Epoch: [5][11100/14090]	Time 0.751 (0.750)	Data 0.002 (0.001)	Loss 2.7789 (2.8500)	Prec@1 28.125 (32.718)	Prec@5 63.281 (62.762)
Epoch: [5][11110/14090]	Time 0.738 (0.750)	Data 0.001 (0.001)	Loss 2.8339 (2.8499)	Prec@1 31.250 (32.720)	Prec@5 60.156 (62.761)
Epoch: [5][11120/14090]	Time 0.738 (0.750)	Data 0.001 (0.001)	Loss 3.3706 (2.8499)	Prec@1 24.219 (32.719)	Prec@5 47.656 (62.761)
Epoch: [5][11130/14090]	Time 0.753 (0.750)	Data 0.001 (0.001)	Loss 2.7707 (2.8499)	Prec@1 33.594 (32.719)	Prec@5 64.062 (62.760)
Epoch: [5][11140/14090]	Time 0.735 (0.750)	Data 0.001 (0.001)	Loss 2.9057 (2.8500)	Prec@1 34.375 (32.718)	Prec@5 60.156 (62.760)
Epoch: [5][11150/14090]	Time 0.745 (0.750)	Data 0.001 (0.001)	Loss 2.7606 (2.8499)	Prec@1 32.812 (32.719)	Prec@5 63.281 (62.761)
Epoch: [5][11160/14090]	Time 0.735 (0.750)	Data 0.001 (0.001)	Loss 2.7957 (2.8499)	Prec@1 39.062 (32.720)	Prec@5 61.719 (62.763)
Epoch: [5][11170/14090]	Time 0.774 (0.750)	Data 0.002 (0.001)	Loss 2.9145 (2.8498)	Prec@1 28.125 (32.722)	Prec@5 65.625 (62.765)
Epoch: [5][11180/14090]	Time 0.732 (0.750)	Data 0.001 (0.001)	Loss 2.7013 (2.8497)	Prec@1 36.719 (32.723)	Prec@5 62.500 (62.766)
Epoch: [5][11190/14090]	Time 0.751 (0.750)	Data 0.001 (0.001)	Loss 2.9925 (2.8498)	Prec@1 27.344 (32.723)	Prec@5 59.375 (62.766)
Epoch: [5][11200/14090]	Time 0.736 (0.750)	Data 0.001 (0.001)	Loss 2.8676 (2.8497)	Prec@1 32.031 (32.723)	Prec@5 64.844 (62.768)
Epoch: [5][11210/14090]	Time 0.747 (0.750)	Data 0.001 (0.001)	Loss 2.9631 (2.8497)	Prec@1 30.469 (32.724)	Prec@5 61.719 (62.769)
Epoch: [5][11220/14090]	Time 0.756 (0.750)	Data 0.001 (0.001)	Loss 2.7065 (2.8497)	Prec@1 32.812 (32.724)	Prec@5 64.844 (62.770)
Epoch: [5][11230/14090]	Time 0.725 (0.750)	Data 0.001 (0.001)	Loss 2.7904 (2.8496)	Prec@1 32.812 (32.724)	Prec@5 67.188 (62.771)
Epoch: [5][11240/14090]	Time 0.760 (0.750)	Data 0.002 (0.001)	Loss 2.9363 (2.8496)	Prec@1 32.031 (32.725)	Prec@5 60.156 (62.773)
Epoch: [5][11250/14090]	Time 0.729 (0.750)	Data 0.001 (0.001)	Loss 2.7988 (2.8495)	Prec@1 33.594 (32.725)	Prec@5 65.625 (62.773)
Epoch: [5][11260/14090]	Time 0.724 (0.750)	Data 0.001 (0.001)	Loss 2.6246 (2.8495)	Prec@1 42.188 (32.726)	Prec@5 64.844 (62.773)
Epoch: [5][11270/14090]	Time 0.726 (0.750)	Data 0.001 (0.001)	Loss 3.1810 (2.8495)	Prec@1 27.344 (32.727)	Prec@5 60.156 (62.774)
Epoch: [5][11280/14090]	Time 0.736 (0.750)	Data 0.001 (0.001)	Loss 2.7343 (2.8494)	Prec@1 35.156 (32.727)	Prec@5 64.844 (62.774)
Epoch: [5][11290/14090]	Time 0.764 (0.750)	Data 0.001 (0.001)	Loss 3.1069 (2.8495)	Prec@1 31.250 (32.727)	Prec@5 57.812 (62.774)
Epoch: [5][11300/14090]	Time 0.748 (0.750)	Data 0.001 (0.001)	Loss 2.9928 (2.8495)	Prec@1 25.000 (32.726)	Prec@5 60.938 (62.773)
Epoch: [5][11310/14090]	Time 0.731 (0.750)	Data 0.003 (0.001)	Loss 2.9812 (2.8496)	Prec@1 32.812 (32.726)	Prec@5 60.156 (62.772)
Epoch: [5][11320/14090]	Time 0.762 (0.750)	Data 0.001 (0.001)	Loss 2.9164 (2.8495)	Prec@1 28.125 (32.727)	Prec@5 61.719 (62.773)
Epoch: [5][11330/14090]	Time 0.769 (0.750)	Data 0.001 (0.001)	Loss 2.6237 (2.8495)	Prec@1 33.594 (32.726)	Prec@5 68.750 (62.775)
Epoch: [5][11340/14090]	Time 0.763 (0.750)	Data 0.001 (0.001)	Loss 2.6620 (2.8494)	Prec@1 34.375 (32.727)	Prec@5 64.844 (62.778)
Epoch: [5][11350/14090]	Time 0.762 (0.750)	Data 0.001 (0.001)	Loss 2.9121 (2.8494)	Prec@1 32.031 (32.726)	Prec@5 62.500 (62.776)
Epoch: [5][11360/14090]	Time 0.766 (0.750)	Data 0.001 (0.001)	Loss 2.9044 (2.8495)	Prec@1 37.500 (32.725)	Prec@5 57.031 (62.775)
Epoch: [5][11370/14090]	Time 0.751 (0.750)	Data 0.001 (0.001)	Loss 3.0379 (2.8494)	Prec@1 30.469 (32.728)	Prec@5 57.812 (62.775)
Epoch: [5][11380/14090]	Time 0.770 (0.750)	Data 0.002 (0.001)	Loss 3.0443 (2.8495)	Prec@1 31.250 (32.727)	Prec@5 60.156 (62.774)
Epoch: [5][11390/14090]	Time 0.752 (0.750)	Data 0.001 (0.001)	Loss 2.7696 (2.8495)	Prec@1 32.812 (32.727)	Prec@5 64.062 (62.775)
Epoch: [5][11400/14090]	Time 0.750 (0.750)	Data 0.001 (0.001)	Loss 2.8539 (2.8495)	Prec@1 32.031 (32.728)	Prec@5 64.062 (62.774)
Epoch: [5][11410/14090]	Time 0.778 (0.750)	Data 0.001 (0.001)	Loss 2.6769 (2.8495)	Prec@1 39.844 (32.728)	Prec@5 67.969 (62.775)
Epoch: [5][11420/14090]	Time 0.733 (0.750)	Data 0.001 (0.001)	Loss 3.1338 (2.8495)	Prec@1 32.031 (32.729)	Prec@5 55.469 (62.775)
Epoch: [5][11430/14090]	Time 0.755 (0.750)	Data 0.001 (0.001)	Loss 3.0645 (2.8495)	Prec@1 36.719 (32.729)	Prec@5 59.375 (62.775)
Epoch: [5][11440/14090]	Time 0.772 (0.750)	Data 0.001 (0.001)	Loss 3.1046 (2.8496)	Prec@1 26.562 (32.730)	Prec@5 56.250 (62.774)
Epoch: [5][11450/14090]	Time 0.730 (0.750)	Data 0.002 (0.001)	Loss 2.9397 (2.8495)	Prec@1 28.906 (32.730)	Prec@5 59.375 (62.775)
Epoch: [5][11460/14090]	Time 0.729 (0.750)	Data 0.001 (0.001)	Loss 2.7636 (2.8495)	Prec@1 34.375 (32.731)	Prec@5 66.406 (62.776)
Epoch: [5][11470/14090]	Time 0.759 (0.750)	Data 0.001 (0.001)	Loss 3.0488 (2.8495)	Prec@1 27.344 (32.730)	Prec@5 60.156 (62.775)
Epoch: [5][11480/14090]	Time 0.746 (0.750)	Data 0.001 (0.001)	Loss 2.8164 (2.8495)	Prec@1 33.594 (32.729)	Prec@5 66.406 (62.777)
Epoch: [5][11490/14090]	Time 0.784 (0.750)	Data 0.001 (0.001)	Loss 2.9882 (2.8495)	Prec@1 32.031 (32.729)	Prec@5 58.594 (62.776)
Epoch: [5][11500/14090]	Time 0.732 (0.750)	Data 0.001 (0.001)	Loss 2.8648 (2.8496)	Prec@1 38.281 (32.729)	Prec@5 62.500 (62.775)
Epoch: [5][11510/14090]	Time 0.723 (0.750)	Data 0.001 (0.001)	Loss 2.7600 (2.8495)	Prec@1 34.375 (32.729)	Prec@5 61.719 (62.775)
Epoch: [5][11520/14090]	Time 0.783 (0.750)	Data 0.002 (0.001)	Loss 2.6580 (2.8495)	Prec@1 38.281 (32.729)	Prec@5 71.875 (62.775)
Epoch: [5][11530/14090]	Time 0.730 (0.750)	Data 0.001 (0.001)	Loss 2.6358 (2.8495)	Prec@1 40.625 (32.730)	Prec@5 65.625 (62.775)
Epoch: [5][11540/14090]	Time 0.746 (0.750)	Data 0.001 (0.001)	Loss 2.9579 (2.8495)	Prec@1 36.719 (32.731)	Prec@5 55.469 (62.775)
Epoch: [5][11550/14090]	Time 0.772 (0.750)	Data 0.001 (0.001)	Loss 2.7945 (2.8495)	Prec@1 31.250 (32.730)	Prec@5 66.406 (62.774)
Epoch: [5][11560/14090]	Time 0.760 (0.750)	Data 0.001 (0.001)	Loss 2.6381 (2.8495)	Prec@1 38.281 (32.731)	Prec@5 67.188 (62.774)
Epoch: [5][11570/14090]	Time 0.752 (0.750)	Data 0.001 (0.001)	Loss 2.7379 (2.8495)	Prec@1 34.375 (32.730)	Prec@5 67.969 (62.775)
Epoch: [5][11580/14090]	Time 0.740 (0.750)	Data 0.001 (0.001)	Loss 3.0464 (2.8495)	Prec@1 32.031 (32.730)	Prec@5 57.031 (62.775)
Epoch: [5][11590/14090]	Time 0.739 (0.750)	Data 0.002 (0.001)	Loss 3.0164 (2.8495)	Prec@1 25.000 (32.731)	Prec@5 59.375 (62.776)
Epoch: [5][11600/14090]	Time 0.777 (0.750)	Data 0.001 (0.001)	Loss 2.8689 (2.8495)	Prec@1 30.469 (32.729)	Prec@5 61.719 (62.776)
Epoch: [5][11610/14090]	Time 0.747 (0.750)	Data 0.001 (0.001)	Loss 2.8882 (2.8495)	Prec@1 33.594 (32.730)	Prec@5 65.625 (62.777)
Epoch: [5][11620/14090]	Time 0.745 (0.750)	Data 0.001 (0.001)	Loss 2.9174 (2.8495)	Prec@1 29.688 (32.728)	Prec@5 60.156 (62.776)
Epoch: [5][11630/14090]	Time 0.740 (0.750)	Data 0.001 (0.001)	Loss 2.9366 (2.8495)	Prec@1 30.469 (32.729)	Prec@5 60.938 (62.778)
Epoch: [5][11640/14090]	Time 0.749 (0.750)	Data 0.001 (0.001)	Loss 2.8420 (2.8494)	Prec@1 34.375 (32.731)	Prec@5 60.156 (62.779)
Epoch: [5][11650/14090]	Time 0.766 (0.750)	Data 0.001 (0.001)	Loss 2.7858 (2.8494)	Prec@1 30.469 (32.731)	Prec@5 57.031 (62.777)
Epoch: [5][11660/14090]	Time 0.753 (0.750)	Data 0.002 (0.001)	Loss 2.8846 (2.8495)	Prec@1 29.688 (32.729)	Prec@5 66.406 (62.777)
Epoch: [5][11670/14090]	Time 0.758 (0.750)	Data 0.001 (0.001)	Loss 2.7078 (2.8494)	Prec@1 37.500 (32.731)	Prec@5 64.844 (62.779)
Epoch: [5][11680/14090]	Time 0.736 (0.750)	Data 0.001 (0.001)	Loss 2.5964 (2.8494)	Prec@1 36.719 (32.732)	Prec@5 68.750 (62.779)
Epoch: [5][11690/14090]	Time 0.755 (0.750)	Data 0.001 (0.001)	Loss 2.8695 (2.8493)	Prec@1 34.375 (32.733)	Prec@5 61.719 (62.780)
Epoch: [5][11700/14090]	Time 0.741 (0.750)	Data 0.001 (0.001)	Loss 2.8809 (2.8493)	Prec@1 33.594 (32.733)	Prec@5 59.375 (62.781)
Epoch: [5][11710/14090]	Time 0.751 (0.750)	Data 0.001 (0.001)	Loss 2.8918 (2.8494)	Prec@1 30.469 (32.732)	Prec@5 63.281 (62.780)
Epoch: [5][11720/14090]	Time 0.744 (0.750)	Data 0.001 (0.001)	Loss 2.7205 (2.8494)	Prec@1 35.938 (32.732)	Prec@5 65.625 (62.781)
Epoch: [5][11730/14090]	Time 0.743 (0.750)	Data 0.002 (0.001)	Loss 3.1395 (2.8494)	Prec@1 29.688 (32.734)	Prec@5 59.375 (62.782)
Epoch: [5][11740/14090]	Time 0.723 (0.750)	Data 0.001 (0.001)	Loss 2.8853 (2.8494)	Prec@1 30.469 (32.733)	Prec@5 60.938 (62.782)
Epoch: [5][11750/14090]	Time 0.750 (0.750)	Data 0.001 (0.001)	Loss 3.0162 (2.8494)	Prec@1 28.125 (32.732)	Prec@5 58.594 (62.783)
Epoch: [5][11760/14090]	Time 0.748 (0.750)	Data 0.001 (0.001)	Loss 2.6047 (2.8493)	Prec@1 36.719 (32.731)	Prec@5 67.969 (62.783)
Epoch: [5][11770/14090]	Time 0.731 (0.750)	Data 0.001 (0.001)	Loss 2.5356 (2.8493)	Prec@1 37.500 (32.733)	Prec@5 71.094 (62.785)
Epoch: [5][11780/14090]	Time 0.753 (0.750)	Data 0.001 (0.001)	Loss 2.8312 (2.8492)	Prec@1 32.031 (32.733)	Prec@5 63.281 (62.787)
Epoch: [5][11790/14090]	Time 0.753 (0.750)	Data 0.001 (0.001)	Loss 3.3381 (2.8493)	Prec@1 18.750 (32.731)	Prec@5 50.000 (62.784)
Epoch: [5][11800/14090]	Time 0.738 (0.750)	Data 0.003 (0.001)	Loss 3.0646 (2.8494)	Prec@1 24.219 (32.729)	Prec@5 57.031 (62.783)
Epoch: [5][11810/14090]	Time 0.779 (0.750)	Data 0.001 (0.001)	Loss 2.6801 (2.8494)	Prec@1 38.281 (32.730)	Prec@5 69.531 (62.783)
Epoch: [5][11820/14090]	Time 0.750 (0.750)	Data 0.001 (0.001)	Loss 2.7372 (2.8494)	Prec@1 35.156 (32.731)	Prec@5 64.844 (62.784)
Epoch: [5][11830/14090]	Time 0.752 (0.750)	Data 0.001 (0.001)	Loss 2.6402 (2.8494)	Prec@1 43.750 (32.733)	Prec@5 66.406 (62.783)
Epoch: [5][11840/14090]	Time 0.776 (0.750)	Data 0.001 (0.001)	Loss 2.8158 (2.8495)	Prec@1 31.250 (32.732)	Prec@5 58.594 (62.780)
Epoch: [5][11850/14090]	Time 0.763 (0.750)	Data 0.001 (0.001)	Loss 2.8120 (2.8495)	Prec@1 32.812 (32.733)	Prec@5 67.188 (62.780)
Epoch: [5][11860/14090]	Time 0.749 (0.750)	Data 0.001 (0.001)	Loss 2.5844 (2.8494)	Prec@1 42.188 (32.736)	Prec@5 71.094 (62.781)
Epoch: [5][11870/14090]	Time 0.733 (0.750)	Data 0.002 (0.001)	Loss 2.7134 (2.8495)	Prec@1 32.812 (32.735)	Prec@5 60.938 (62.782)
Epoch: [5][11880/14090]	Time 0.728 (0.750)	Data 0.001 (0.001)	Loss 2.7044 (2.8495)	Prec@1 32.812 (32.734)	Prec@5 64.844 (62.780)
Epoch: [5][11890/14090]	Time 0.757 (0.750)	Data 0.001 (0.001)	Loss 2.8684 (2.8495)	Prec@1 32.031 (32.734)	Prec@5 64.062 (62.780)
Epoch: [5][11900/14090]	Time 0.754 (0.750)	Data 0.001 (0.001)	Loss 2.4798 (2.8494)	Prec@1 44.531 (32.736)	Prec@5 64.062 (62.783)
Epoch: [5][11910/14090]	Time 0.751 (0.750)	Data 0.001 (0.001)	Loss 2.8065 (2.8494)	Prec@1 35.156 (32.737)	Prec@5 63.281 (62.785)
Epoch: [5][11920/14090]	Time 0.736 (0.750)	Data 0.001 (0.001)	Loss 2.5893 (2.8493)	Prec@1 35.938 (32.737)	Prec@5 68.750 (62.786)
Epoch: [5][11930/14090]	Time 0.784 (0.750)	Data 0.001 (0.001)	Loss 3.0492 (2.8493)	Prec@1 32.031 (32.737)	Prec@5 57.812 (62.785)
Epoch: [5][11940/14090]	Time 0.765 (0.750)	Data 0.002 (0.001)	Loss 2.7307 (2.8493)	Prec@1 37.500 (32.737)	Prec@5 60.938 (62.785)
Epoch: [5][11950/14090]	Time 0.731 (0.750)	Data 0.001 (0.001)	Loss 3.1114 (2.8494)	Prec@1 26.562 (32.736)	Prec@5 57.812 (62.785)
Epoch: [5][11960/14090]	Time 0.748 (0.750)	Data 0.001 (0.001)	Loss 3.1106 (2.8494)	Prec@1 25.781 (32.734)	Prec@5 57.031 (62.781)
Epoch: [5][11970/14090]	Time 0.745 (0.750)	Data 0.001 (0.001)	Loss 2.7523 (2.8495)	Prec@1 29.688 (32.733)	Prec@5 65.625 (62.782)
Epoch: [5][11980/14090]	Time 0.772 (0.750)	Data 0.001 (0.001)	Loss 2.6816 (2.8495)	Prec@1 39.844 (32.735)	Prec@5 60.156 (62.782)
Epoch: [5][11990/14090]	Time 0.773 (0.750)	Data 0.001 (0.001)	Loss 2.5226 (2.8494)	Prec@1 43.750 (32.736)	Prec@5 71.875 (62.783)
Epoch: [5][12000/14090]	Time 0.745 (0.750)	Data 0.001 (0.001)	Loss 2.8450 (2.8494)	Prec@1 32.812 (32.735)	Prec@5 61.719 (62.782)
Epoch: [5][12010/14090]	Time 0.773 (0.750)	Data 0.002 (0.001)	Loss 2.9472 (2.8494)	Prec@1 36.719 (32.734)	Prec@5 62.500 (62.783)
Epoch: [5][12020/14090]	Time 0.756 (0.750)	Data 0.001 (0.001)	Loss 2.7731 (2.8494)	Prec@1 34.375 (32.735)	Prec@5 66.406 (62.783)
Epoch: [5][12030/14090]	Time 0.747 (0.750)	Data 0.001 (0.001)	Loss 3.0178 (2.8493)	Prec@1 33.594 (32.735)	Prec@5 57.031 (62.785)
Epoch: [5][12040/14090]	Time 0.778 (0.750)	Data 0.001 (0.001)	Loss 3.1615 (2.8494)	Prec@1 26.562 (32.735)	Prec@5 55.469 (62.783)
Epoch: [5][12050/14090]	Time 0.751 (0.750)	Data 0.001 (0.001)	Loss 2.9530 (2.8495)	Prec@1 28.125 (32.734)	Prec@5 58.594 (62.781)
Epoch: [5][12060/14090]	Time 0.726 (0.750)	Data 0.001 (0.001)	Loss 3.1744 (2.8495)	Prec@1 30.469 (32.737)	Prec@5 53.125 (62.780)
Epoch: [5][12070/14090]	Time 0.737 (0.750)	Data 0.001 (0.001)	Loss 2.8516 (2.8495)	Prec@1 29.688 (32.736)	Prec@5 63.281 (62.780)
Epoch: [5][12080/14090]	Time 0.744 (0.750)	Data 0.002 (0.001)	Loss 3.4601 (2.8495)	Prec@1 25.781 (32.736)	Prec@5 51.562 (62.780)
Epoch: [5][12090/14090]	Time 0.722 (0.750)	Data 0.001 (0.001)	Loss 2.6694 (2.8493)	Prec@1 36.719 (32.738)	Prec@5 65.625 (62.783)
Epoch: [5][12100/14090]	Time 0.776 (0.750)	Data 0.001 (0.001)	Loss 2.7225 (2.8493)	Prec@1 39.844 (32.738)	Prec@5 61.719 (62.784)
Epoch: [5][12110/14090]	Time 0.768 (0.750)	Data 0.001 (0.001)	Loss 2.8698 (2.8492)	Prec@1 32.812 (32.739)	Prec@5 62.500 (62.784)
Epoch: [5][12120/14090]	Time 0.782 (0.750)	Data 0.001 (0.001)	Loss 2.9222 (2.8492)	Prec@1 37.500 (32.741)	Prec@5 60.156 (62.786)
Epoch: [5][12130/14090]	Time 0.761 (0.750)	Data 0.001 (0.001)	Loss 3.1399 (2.8492)	Prec@1 26.562 (32.741)	Prec@5 57.812 (62.784)
Epoch: [5][12140/14090]	Time 0.742 (0.750)	Data 0.001 (0.001)	Loss 2.8827 (2.8492)	Prec@1 28.125 (32.741)	Prec@5 61.719 (62.785)
Epoch: [5][12150/14090]	Time 0.781 (0.750)	Data 0.002 (0.001)	Loss 3.0797 (2.8492)	Prec@1 31.250 (32.740)	Prec@5 56.250 (62.784)
Epoch: [5][12160/14090]	Time 0.728 (0.750)	Data 0.001 (0.001)	Loss 2.7157 (2.8493)	Prec@1 35.156 (32.739)	Prec@5 64.062 (62.783)
Epoch: [5][12170/14090]	Time 0.741 (0.750)	Data 0.001 (0.001)	Loss 2.8155 (2.8493)	Prec@1 32.812 (32.738)	Prec@5 60.938 (62.782)
Epoch: [5][12180/14090]	Time 0.727 (0.750)	Data 0.001 (0.001)	Loss 2.8542 (2.8493)	Prec@1 34.375 (32.736)	Prec@5 64.062 (62.782)
Epoch: [5][12190/14090]	Time 0.746 (0.750)	Data 0.001 (0.001)	Loss 2.5684 (2.8493)	Prec@1 42.969 (32.737)	Prec@5 64.844 (62.782)
Epoch: [5][12200/14090]	Time 0.744 (0.750)	Data 0.001 (0.001)	Loss 2.6412 (2.8493)	Prec@1 38.281 (32.735)	Prec@5 66.406 (62.783)
Epoch: [5][12210/14090]	Time 0.751 (0.750)	Data 0.001 (0.001)	Loss 3.1164 (2.8493)	Prec@1 33.594 (32.736)	Prec@5 59.375 (62.783)
Epoch: [5][12220/14090]	Time 0.771 (0.750)	Data 0.003 (0.001)	Loss 2.6636 (2.8493)	Prec@1 37.500 (32.735)	Prec@5 68.750 (62.783)
Epoch: [5][12230/14090]	Time 0.720 (0.750)	Data 0.001 (0.001)	Loss 2.5496 (2.8493)	Prec@1 41.406 (32.736)	Prec@5 71.094 (62.784)
Epoch: [5][12240/14090]	Time 0.751 (0.750)	Data 0.001 (0.001)	Loss 2.8451 (2.8492)	Prec@1 32.031 (32.736)	Prec@5 62.500 (62.787)
Epoch: [5][12250/14090]	Time 0.740 (0.750)	Data 0.001 (0.001)	Loss 2.9156 (2.8491)	Prec@1 36.719 (32.738)	Prec@5 57.031 (62.786)
Epoch: [5][12260/14090]	Time 0.763 (0.750)	Data 0.001 (0.001)	Loss 2.9224 (2.8492)	Prec@1 34.375 (32.738)	Prec@5 63.281 (62.787)
Epoch: [5][12270/14090]	Time 0.776 (0.750)	Data 0.001 (0.001)	Loss 2.9943 (2.8492)	Prec@1 30.469 (32.738)	Prec@5 59.375 (62.785)
Epoch: [5][12280/14090]	Time 0.739 (0.750)	Data 0.001 (0.001)	Loss 2.6660 (2.8492)	Prec@1 35.938 (32.738)	Prec@5 67.969 (62.786)
Epoch: [5][12290/14090]	Time 0.723 (0.750)	Data 0.002 (0.001)	Loss 3.2080 (2.8493)	Prec@1 28.125 (32.737)	Prec@5 50.000 (62.783)
Epoch: [5][12300/14090]	Time 0.780 (0.750)	Data 0.001 (0.001)	Loss 2.5200 (2.8493)	Prec@1 34.375 (32.737)	Prec@5 73.438 (62.783)
Epoch: [5][12310/14090]	Time 0.740 (0.750)	Data 0.001 (0.001)	Loss 2.7705 (2.8493)	Prec@1 33.594 (32.737)	Prec@5 64.062 (62.784)
Epoch: [5][12320/14090]	Time 0.738 (0.750)	Data 0.001 (0.001)	Loss 2.7695 (2.8493)	Prec@1 42.969 (32.737)	Prec@5 64.844 (62.782)
Epoch: [5][12330/14090]	Time 0.769 (0.750)	Data 0.001 (0.001)	Loss 2.8094 (2.8493)	Prec@1 38.281 (32.738)	Prec@5 59.375 (62.781)
Epoch: [5][12340/14090]	Time 0.723 (0.750)	Data 0.001 (0.001)	Loss 2.9170 (2.8493)	Prec@1 28.906 (32.740)	Prec@5 60.938 (62.781)
Epoch: [5][12350/14090]	Time 0.754 (0.750)	Data 0.001 (0.001)	Loss 2.9276 (2.8493)	Prec@1 32.031 (32.740)	Prec@5 64.062 (62.781)
Epoch: [5][12360/14090]	Time 0.721 (0.750)	Data 0.002 (0.001)	Loss 2.5036 (2.8493)	Prec@1 40.625 (32.740)	Prec@5 71.875 (62.781)
Epoch: [5][12370/14090]	Time 0.762 (0.750)	Data 0.001 (0.001)	Loss 2.4988 (2.8493)	Prec@1 37.500 (32.741)	Prec@5 71.875 (62.782)
Epoch: [5][12380/14090]	Time 0.766 (0.750)	Data 0.001 (0.001)	Loss 2.7871 (2.8493)	Prec@1 35.938 (32.742)	Prec@5 65.625 (62.783)
Epoch: [5][12390/14090]	Time 0.752 (0.750)	Data 0.001 (0.001)	Loss 3.0804 (2.8493)	Prec@1 31.250 (32.741)	Prec@5 62.500 (62.784)
Epoch: [5][12400/14090]	Time 0.747 (0.750)	Data 0.001 (0.001)	Loss 2.9312 (2.8492)	Prec@1 28.125 (32.741)	Prec@5 62.500 (62.785)
Epoch: [5][12410/14090]	Time 0.756 (0.750)	Data 0.001 (0.001)	Loss 2.8687 (2.8492)	Prec@1 28.125 (32.743)	Prec@5 61.719 (62.786)
Epoch: [5][12420/14090]	Time 0.720 (0.750)	Data 0.001 (0.001)	Loss 2.8265 (2.8491)	Prec@1 34.375 (32.745)	Prec@5 64.062 (62.787)
Epoch: [5][12430/14090]	Time 0.756 (0.750)	Data 0.002 (0.001)	Loss 2.5759 (2.8490)	Prec@1 34.375 (32.746)	Prec@5 67.188 (62.789)
Epoch: [5][12440/14090]	Time 0.735 (0.750)	Data 0.001 (0.001)	Loss 2.7609 (2.8490)	Prec@1 33.594 (32.746)	Prec@5 67.969 (62.791)
Epoch: [5][12450/14090]	Time 0.776 (0.750)	Data 0.001 (0.001)	Loss 2.5824 (2.8490)	Prec@1 33.594 (32.745)	Prec@5 67.188 (62.789)
Epoch: [5][12460/14090]	Time 0.731 (0.750)	Data 0.001 (0.001)	Loss 2.9876 (2.8490)	Prec@1 28.125 (32.743)	Prec@5 65.625 (62.790)
Epoch: [5][12470/14090]	Time 0.732 (0.750)	Data 0.001 (0.001)	Loss 2.9214 (2.8491)	Prec@1 29.688 (32.742)	Prec@5 60.938 (62.790)
Epoch: [5][12480/14090]	Time 0.736 (0.750)	Data 0.000 (0.001)	Loss 2.9420 (2.8490)	Prec@1 28.125 (32.742)	Prec@5 60.156 (62.790)
Epoch: [5][12490/14090]	Time 0.732 (0.750)	Data 0.001 (0.001)	Loss 2.7729 (2.8491)	Prec@1 35.156 (32.742)	Prec@5 61.719 (62.790)
Epoch: [5][12500/14090]	Time 0.744 (0.750)	Data 0.002 (0.001)	Loss 2.9598 (2.8490)	Prec@1 28.906 (32.742)	Prec@5 61.719 (62.790)
Epoch: [5][12510/14090]	Time 0.786 (0.750)	Data 0.001 (0.001)	Loss 2.8552 (2.8490)	Prec@1 30.469 (32.742)	Prec@5 62.500 (62.790)
Epoch: [5][12520/14090]	Time 0.732 (0.750)	Data 0.001 (0.001)	Loss 2.7842 (2.8490)	Prec@1 30.469 (32.742)	Prec@5 63.281 (62.791)
Epoch: [5][12530/14090]	Time 0.732 (0.750)	Data 0.001 (0.001)	Loss 2.4439 (2.8490)	Prec@1 36.719 (32.743)	Prec@5 71.875 (62.791)
Epoch: [5][12540/14090]	Time 0.734 (0.750)	Data 0.001 (0.001)	Loss 3.1022 (2.8490)	Prec@1 30.469 (32.744)	Prec@5 61.719 (62.792)
Epoch: [5][12550/14090]	Time 0.729 (0.750)	Data 0.001 (0.001)	Loss 2.9159 (2.8489)	Prec@1 32.031 (32.743)	Prec@5 57.812 (62.792)
Epoch: [5][12560/14090]	Time 0.781 (0.750)	Data 0.001 (0.001)	Loss 2.8876 (2.8490)	Prec@1 32.812 (32.742)	Prec@5 62.500 (62.790)
Epoch: [5][12570/14090]	Time 0.744 (0.750)	Data 0.002 (0.001)	Loss 2.5174 (2.8490)	Prec@1 39.844 (32.743)	Prec@5 67.188 (62.790)
Epoch: [5][12580/14090]	Time 0.752 (0.750)	Data 0.001 (0.001)	Loss 2.7633 (2.8490)	Prec@1 34.375 (32.742)	Prec@5 63.281 (62.790)
Epoch: [5][12590/14090]	Time 0.738 (0.750)	Data 0.001 (0.001)	Loss 2.6806 (2.8490)	Prec@1 35.938 (32.742)	Prec@5 64.844 (62.790)
Epoch: [5][12600/14090]	Time 0.730 (0.750)	Data 0.001 (0.001)	Loss 2.8336 (2.8490)	Prec@1 29.688 (32.742)	Prec@5 62.500 (62.791)
Epoch: [5][12610/14090]	Time 0.727 (0.750)	Data 0.001 (0.001)	Loss 2.6886 (2.8490)	Prec@1 30.469 (32.741)	Prec@5 61.719 (62.790)
Epoch: [5][12620/14090]	Time 0.738 (0.750)	Data 0.001 (0.001)	Loss 2.8193 (2.8491)	Prec@1 31.250 (32.741)	Prec@5 64.844 (62.789)
Epoch: [5][12630/14090]	Time 0.741 (0.750)	Data 0.001 (0.001)	Loss 2.7752 (2.8491)	Prec@1 30.469 (32.741)	Prec@5 66.406 (62.789)
Epoch: [5][12640/14090]	Time 0.765 (0.750)	Data 0.002 (0.001)	Loss 2.9894 (2.8491)	Prec@1 28.906 (32.741)	Prec@5 57.812 (62.788)
Epoch: [5][12650/14090]	Time 0.756 (0.750)	Data 0.001 (0.001)	Loss 2.6617 (2.8491)	Prec@1 35.938 (32.741)	Prec@5 63.281 (62.788)
Epoch: [5][12660/14090]	Time 0.741 (0.750)	Data 0.001 (0.001)	Loss 2.8541 (2.8490)	Prec@1 36.719 (32.744)	Prec@5 60.938 (62.789)
Epoch: [5][12670/14090]	Time 0.742 (0.750)	Data 0.001 (0.001)	Loss 2.8185 (2.8490)	Prec@1 33.594 (32.744)	Prec@5 64.062 (62.791)
Epoch: [5][12680/14090]	Time 0.740 (0.750)	Data 0.001 (0.001)	Loss 3.1472 (2.8490)	Prec@1 25.781 (32.743)	Prec@5 56.250 (62.788)
Epoch: [5][12690/14090]	Time 0.743 (0.750)	Data 0.001 (0.001)	Loss 2.9327 (2.8491)	Prec@1 30.469 (32.741)	Prec@5 58.594 (62.786)
Epoch: [5][12700/14090]	Time 0.775 (0.750)	Data 0.001 (0.001)	Loss 3.1053 (2.8491)	Prec@1 25.000 (32.739)	Prec@5 53.906 (62.786)
Epoch: [5][12710/14090]	Time 0.758 (0.750)	Data 0.002 (0.001)	Loss 3.0477 (2.8492)	Prec@1 32.812 (32.739)	Prec@5 60.938 (62.786)
Epoch: [5][12720/14090]	Time 0.740 (0.750)	Data 0.001 (0.001)	Loss 2.6523 (2.8492)	Prec@1 32.031 (32.739)	Prec@5 63.281 (62.786)
Epoch: [5][12730/14090]	Time 0.780 (0.750)	Data 0.001 (0.001)	Loss 2.7319 (2.8492)	Prec@1 36.719 (32.741)	Prec@5 63.281 (62.785)
Epoch: [5][12740/14090]	Time 0.734 (0.750)	Data 0.001 (0.001)	Loss 2.9585 (2.8492)	Prec@1 28.906 (32.740)	Prec@5 57.031 (62.784)
Epoch: [5][12750/14090]	Time 0.743 (0.750)	Data 0.001 (0.001)	Loss 2.7560 (2.8492)	Prec@1 35.156 (32.741)	Prec@5 66.406 (62.786)
Epoch: [5][12760/14090]	Time 0.725 (0.750)	Data 0.001 (0.001)	Loss 2.8067 (2.8491)	Prec@1 31.250 (32.741)	Prec@5 64.062 (62.787)
Epoch: [5][12770/14090]	Time 0.730 (0.750)	Data 0.001 (0.001)	Loss 2.6235 (2.8490)	Prec@1 35.156 (32.742)	Prec@5 67.188 (62.788)
Epoch: [5][12780/14090]	Time 0.728 (0.750)	Data 0.002 (0.001)	Loss 2.8657 (2.8490)	Prec@1 31.250 (32.742)	Prec@5 61.719 (62.788)
Epoch: [5][12790/14090]	Time 0.756 (0.750)	Data 0.001 (0.001)	Loss 3.0453 (2.8490)	Prec@1 32.031 (32.742)	Prec@5 57.812 (62.788)
Epoch: [5][12800/14090]	Time 0.733 (0.750)	Data 0.001 (0.001)	Loss 3.0758 (2.8490)	Prec@1 30.469 (32.742)	Prec@5 58.594 (62.789)
Epoch: [5][12810/14090]	Time 0.745 (0.750)	Data 0.001 (0.001)	Loss 2.8621 (2.8489)	Prec@1 38.281 (32.744)	Prec@5 58.594 (62.790)
Epoch: [5][12820/14090]	Time 0.762 (0.750)	Data 0.001 (0.001)	Loss 2.9129 (2.8489)	Prec@1 29.688 (32.744)	Prec@5 60.156 (62.791)
Epoch: [5][12830/14090]	Time 0.766 (0.750)	Data 0.001 (0.001)	Loss 2.8926 (2.8489)	Prec@1 32.031 (32.745)	Prec@5 64.844 (62.792)
Epoch: [5][12840/14090]	Time 0.752 (0.750)	Data 0.001 (0.001)	Loss 2.8073 (2.8490)	Prec@1 35.938 (32.745)	Prec@5 61.719 (62.792)
Epoch: [5][12850/14090]	Time 0.741 (0.750)	Data 0.002 (0.001)	Loss 2.7451 (2.8489)	Prec@1 32.812 (32.746)	Prec@5 65.625 (62.794)
Epoch: [5][12860/14090]	Time 0.776 (0.750)	Data 0.001 (0.001)	Loss 3.0534 (2.8489)	Prec@1 35.938 (32.745)	Prec@5 59.375 (62.794)
Epoch: [5][12870/14090]	Time 0.759 (0.750)	Data 0.001 (0.001)	Loss 2.8577 (2.8489)	Prec@1 31.250 (32.744)	Prec@5 57.812 (62.795)
Epoch: [5][12880/14090]	Time 0.749 (0.750)	Data 0.001 (0.001)	Loss 3.0569 (2.8489)	Prec@1 28.125 (32.744)	Prec@5 61.719 (62.794)
Epoch: [5][12890/14090]	Time 0.745 (0.750)	Data 0.001 (0.001)	Loss 3.0252 (2.8489)	Prec@1 30.469 (32.742)	Prec@5 62.500 (62.795)
Epoch: [5][12900/14090]	Time 0.732 (0.750)	Data 0.001 (0.001)	Loss 2.9231 (2.8488)	Prec@1 29.688 (32.743)	Prec@5 58.594 (62.796)
Epoch: [5][12910/14090]	Time 0.747 (0.750)	Data 0.001 (0.001)	Loss 3.0770 (2.8488)	Prec@1 29.688 (32.743)	Prec@5 59.375 (62.796)
Epoch: [5][12920/14090]	Time 0.762 (0.750)	Data 0.002 (0.001)	Loss 2.9886 (2.8489)	Prec@1 32.031 (32.743)	Prec@5 62.500 (62.795)
Epoch: [5][12930/14090]	Time 0.753 (0.750)	Data 0.001 (0.001)	Loss 3.1728 (2.8489)	Prec@1 25.000 (32.741)	Prec@5 52.344 (62.793)
Epoch: [5][12940/14090]	Time 0.741 (0.750)	Data 0.001 (0.001)	Loss 2.8140 (2.8489)	Prec@1 32.031 (32.742)	Prec@5 66.406 (62.794)
Epoch: [5][12950/14090]	Time 0.754 (0.750)	Data 0.001 (0.001)	Loss 2.8680 (2.8489)	Prec@1 32.812 (32.742)	Prec@5 63.281 (62.793)
Epoch: [5][12960/14090]	Time 0.730 (0.750)	Data 0.001 (0.001)	Loss 2.4480 (2.8488)	Prec@1 42.188 (32.743)	Prec@5 67.188 (62.793)
Epoch: [5][12970/14090]	Time 0.724 (0.750)	Data 0.001 (0.001)	Loss 2.6897 (2.8488)	Prec@1 30.469 (32.744)	Prec@5 64.062 (62.794)
Epoch: [5][12980/14090]	Time 0.740 (0.750)	Data 0.001 (0.001)	Loss 2.7449 (2.8488)	Prec@1 31.250 (32.745)	Prec@5 67.188 (62.794)
Epoch: [5][12990/14090]	Time 0.740 (0.750)	Data 0.002 (0.001)	Loss 2.9139 (2.8488)	Prec@1 34.375 (32.744)	Prec@5 63.281 (62.793)
Epoch: [5][13000/14090]	Time 0.744 (0.750)	Data 0.001 (0.001)	Loss 2.7660 (2.8488)	Prec@1 33.594 (32.744)	Prec@5 61.719 (62.795)
Epoch: [5][13010/14090]	Time 0.740 (0.750)	Data 0.001 (0.001)	Loss 2.5785 (2.8488)	Prec@1 36.719 (32.744)	Prec@5 69.531 (62.794)
Epoch: [5][13020/14090]	Time 0.757 (0.750)	Data 0.001 (0.001)	Loss 3.0250 (2.8488)	Prec@1 30.469 (32.744)	Prec@5 61.719 (62.795)
Epoch: [5][13030/14090]	Time 0.727 (0.750)	Data 0.001 (0.001)	Loss 2.6205 (2.8487)	Prec@1 35.156 (32.745)	Prec@5 64.844 (62.796)
Epoch: [5][13040/14090]	Time 0.780 (0.750)	Data 0.001 (0.001)	Loss 2.9196 (2.8487)	Prec@1 34.375 (32.745)	Prec@5 61.719 (62.796)
Epoch: [5][13050/14090]	Time 0.746 (0.750)	Data 0.001 (0.001)	Loss 2.7936 (2.8487)	Prec@1 35.156 (32.744)	Prec@5 65.625 (62.796)
Epoch: [5][13060/14090]	Time 0.759 (0.750)	Data 0.003 (0.001)	Loss 2.7793 (2.8486)	Prec@1 33.594 (32.745)	Prec@5 66.406 (62.797)
Epoch: [5][13070/14090]	Time 0.765 (0.750)	Data 0.001 (0.001)	Loss 2.7026 (2.8486)	Prec@1 35.156 (32.746)	Prec@5 65.625 (62.797)
Epoch: [5][13080/14090]	Time 0.736 (0.750)	Data 0.001 (0.001)	Loss 3.1006 (2.8487)	Prec@1 25.000 (32.744)	Prec@5 57.031 (62.796)
Epoch: [5][13090/14090]	Time 0.752 (0.750)	Data 0.001 (0.001)	Loss 2.7608 (2.8486)	Prec@1 31.250 (32.745)	Prec@5 59.375 (62.796)
Epoch: [5][13100/14090]	Time 0.726 (0.750)	Data 0.001 (0.001)	Loss 2.9720 (2.8486)	Prec@1 28.906 (32.745)	Prec@5 55.469 (62.797)
Epoch: [5][13110/14090]	Time 0.754 (0.750)	Data 0.001 (0.001)	Loss 2.8827 (2.8485)	Prec@1 28.906 (32.746)	Prec@5 64.844 (62.799)
Epoch: [5][13120/14090]	Time 0.730 (0.750)	Data 0.001 (0.001)	Loss 2.9050 (2.8485)	Prec@1 26.562 (32.746)	Prec@5 60.938 (62.798)
Epoch: [5][13130/14090]	Time 0.773 (0.750)	Data 0.002 (0.001)	Loss 2.7085 (2.8485)	Prec@1 39.062 (32.747)	Prec@5 62.500 (62.798)
Epoch: [5][13140/14090]	Time 0.734 (0.750)	Data 0.001 (0.001)	Loss 2.8109 (2.8485)	Prec@1 35.938 (32.749)	Prec@5 64.844 (62.800)
Epoch: [5][13150/14090]	Time 0.784 (0.750)	Data 0.001 (0.001)	Loss 3.1467 (2.8484)	Prec@1 28.906 (32.749)	Prec@5 63.281 (62.800)
Epoch: [5][13160/14090]	Time 0.740 (0.750)	Data 0.001 (0.001)	Loss 2.8797 (2.8484)	Prec@1 32.812 (32.750)	Prec@5 60.938 (62.801)
Epoch: [5][13170/14090]	Time 0.750 (0.750)	Data 0.001 (0.001)	Loss 2.8546 (2.8484)	Prec@1 32.812 (32.749)	Prec@5 57.812 (62.799)
Epoch: [5][13180/14090]	Time 0.757 (0.750)	Data 0.001 (0.001)	Loss 2.9791 (2.8484)	Prec@1 29.688 (32.748)	Prec@5 59.375 (62.799)
Epoch: [5][13190/14090]	Time 0.733 (0.750)	Data 0.001 (0.001)	Loss 2.6294 (2.8483)	Prec@1 31.250 (32.749)	Prec@5 68.750 (62.800)
Epoch: [5][13200/14090]	Time 0.752 (0.750)	Data 0.002 (0.001)	Loss 2.8788 (2.8483)	Prec@1 32.812 (32.750)	Prec@5 58.594 (62.800)
Epoch: [5][13210/14090]	Time 0.761 (0.750)	Data 0.001 (0.001)	Loss 2.9244 (2.8483)	Prec@1 31.250 (32.749)	Prec@5 60.938 (62.800)
Epoch: [5][13220/14090]	Time 0.724 (0.750)	Data 0.001 (0.001)	Loss 3.0551 (2.8483)	Prec@1 30.469 (32.749)	Prec@5 58.594 (62.801)
Epoch: [5][13230/14090]	Time 0.729 (0.750)	Data 0.001 (0.001)	Loss 2.7886 (2.8483)	Prec@1 32.031 (32.750)	Prec@5 67.969 (62.802)
Epoch: [5][13240/14090]	Time 0.730 (0.750)	Data 0.001 (0.001)	Loss 2.8445 (2.8484)	Prec@1 32.812 (32.748)	Prec@5 62.500 (62.800)
Epoch: [5][13250/14090]	Time 0.776 (0.750)	Data 0.001 (0.001)	Loss 2.5728 (2.8483)	Prec@1 35.938 (32.748)	Prec@5 67.188 (62.801)
Epoch: [5][13260/14090]	Time 0.743 (0.750)	Data 0.001 (0.001)	Loss 2.8833 (2.8484)	Prec@1 32.812 (32.747)	Prec@5 63.281 (62.800)
Epoch: [5][13270/14090]	Time 0.734 (0.750)	Data 0.002 (0.001)	Loss 2.6893 (2.8484)	Prec@1 35.938 (32.747)	Prec@5 68.750 (62.799)
Epoch: [5][13280/14090]	Time 0.772 (0.750)	Data 0.001 (0.001)	Loss 3.0481 (2.8484)	Prec@1 25.000 (32.746)	Prec@5 56.250 (62.798)
Epoch: [5][13290/14090]	Time 0.748 (0.750)	Data 0.001 (0.001)	Loss 2.9299 (2.8485)	Prec@1 25.000 (32.744)	Prec@5 62.500 (62.797)
Epoch: [5][13300/14090]	Time 0.762 (0.750)	Data 0.001 (0.001)	Loss 2.7943 (2.8484)	Prec@1 25.000 (32.744)	Prec@5 64.062 (62.799)
Epoch: [5][13310/14090]	Time 0.741 (0.750)	Data 0.001 (0.001)	Loss 2.8502 (2.8485)	Prec@1 28.906 (32.743)	Prec@5 64.062 (62.799)
Epoch: [5][13320/14090]	Time 0.782 (0.750)	Data 0.001 (0.001)	Loss 2.9297 (2.8484)	Prec@1 34.375 (32.744)	Prec@5 58.594 (62.799)
Epoch: [5][13330/14090]	Time 0.732 (0.750)	Data 0.001 (0.001)	Loss 2.8743 (2.8484)	Prec@1 29.688 (32.744)	Prec@5 64.844 (62.800)
Epoch: [5][13340/14090]	Time 0.749 (0.750)	Data 0.002 (0.001)	Loss 2.9551 (2.8483)	Prec@1 28.125 (32.744)	Prec@5 59.375 (62.801)
Epoch: [5][13350/14090]	Time 0.774 (0.750)	Data 0.001 (0.001)	Loss 2.8078 (2.8482)	Prec@1 31.250 (32.745)	Prec@5 62.500 (62.801)
Epoch: [5][13360/14090]	Time 0.762 (0.750)	Data 0.001 (0.001)	Loss 2.8321 (2.8482)	Prec@1 32.031 (32.747)	Prec@5 66.406 (62.802)
Epoch: [5][13370/14090]	Time 0.739 (0.750)	Data 0.001 (0.001)	Loss 3.0801 (2.8481)	Prec@1 28.906 (32.748)	Prec@5 57.812 (62.804)
Epoch: [5][13380/14090]	Time 0.754 (0.750)	Data 0.001 (0.001)	Loss 2.6498 (2.8481)	Prec@1 35.938 (32.749)	Prec@5 57.031 (62.804)
Epoch: [5][13390/14090]	Time 0.772 (0.750)	Data 0.001 (0.001)	Loss 2.8062 (2.8481)	Prec@1 29.688 (32.751)	Prec@5 65.625 (62.804)
Epoch: [5][13400/14090]	Time 0.728 (0.750)	Data 0.001 (0.001)	Loss 2.9110 (2.8481)	Prec@1 33.594 (32.751)	Prec@5 57.812 (62.805)
Epoch: [5][13410/14090]	Time 0.725 (0.750)	Data 0.002 (0.001)	Loss 2.7977 (2.8480)	Prec@1 32.812 (32.751)	Prec@5 62.500 (62.806)
Epoch: [5][13420/14090]	Time 0.768 (0.750)	Data 0.001 (0.001)	Loss 2.9123 (2.8480)	Prec@1 36.719 (32.751)	Prec@5 60.156 (62.806)
Epoch: [5][13430/14090]	Time 0.733 (0.750)	Data 0.001 (0.001)	Loss 2.9380 (2.8480)	Prec@1 35.156 (32.752)	Prec@5 66.406 (62.807)
Epoch: [5][13440/14090]	Time 0.768 (0.750)	Data 0.001 (0.001)	Loss 2.5477 (2.8480)	Prec@1 36.719 (32.751)	Prec@5 70.312 (62.807)
Epoch: [5][13450/14090]	Time 0.745 (0.750)	Data 0.001 (0.001)	Loss 2.4775 (2.8480)	Prec@1 43.750 (32.752)	Prec@5 66.406 (62.808)
Epoch: [5][13460/14090]	Time 0.775 (0.750)	Data 0.001 (0.001)	Loss 2.8902 (2.8479)	Prec@1 32.812 (32.752)	Prec@5 61.719 (62.809)
Epoch: [5][13470/14090]	Time 0.733 (0.750)	Data 0.001 (0.001)	Loss 2.9498 (2.8479)	Prec@1 33.594 (32.752)	Prec@5 57.812 (62.808)
Epoch: [5][13480/14090]	Time 0.755 (0.750)	Data 0.002 (0.001)	Loss 2.8844 (2.8480)	Prec@1 32.031 (32.751)	Prec@5 61.719 (62.808)
Epoch: [5][13490/14090]	Time 0.731 (0.750)	Data 0.001 (0.001)	Loss 2.7123 (2.8480)	Prec@1 35.938 (32.751)	Prec@5 66.406 (62.807)
Epoch: [5][13500/14090]	Time 0.765 (0.750)	Data 0.001 (0.001)	Loss 2.8420 (2.8480)	Prec@1 32.031 (32.750)	Prec@5 59.375 (62.807)
Epoch: [5][13510/14090]	Time 0.746 (0.750)	Data 0.001 (0.001)	Loss 2.8359 (2.8480)	Prec@1 34.375 (32.750)	Prec@5 59.375 (62.805)
Epoch: [5][13520/14090]	Time 0.768 (0.750)	Data 0.001 (0.001)	Loss 3.0774 (2.8480)	Prec@1 25.000 (32.750)	Prec@5 53.906 (62.806)
Epoch: [5][13530/14090]	Time 0.727 (0.750)	Data 0.001 (0.001)	Loss 2.9837 (2.8480)	Prec@1 28.125 (32.750)	Prec@5 59.375 (62.805)
Epoch: [5][13540/14090]	Time 0.775 (0.750)	Data 0.001 (0.001)	Loss 3.1085 (2.8481)	Prec@1 27.344 (32.749)	Prec@5 56.250 (62.804)
Epoch: [5][13550/14090]	Time 0.732 (0.750)	Data 0.002 (0.001)	Loss 3.0534 (2.8481)	Prec@1 32.031 (32.748)	Prec@5 58.594 (62.804)
Epoch: [5][13560/14090]	Time 0.760 (0.750)	Data 0.001 (0.001)	Loss 2.7696 (2.8481)	Prec@1 35.938 (32.747)	Prec@5 58.594 (62.803)
Epoch: [5][13570/14090]	Time 0.767 (0.750)	Data 0.001 (0.001)	Loss 2.8225 (2.8480)	Prec@1 34.375 (32.749)	Prec@5 57.031 (62.804)
Epoch: [5][13580/14090]	Time 0.763 (0.750)	Data 0.001 (0.001)	Loss 2.6459 (2.8480)	Prec@1 33.594 (32.749)	Prec@5 65.625 (62.803)
Epoch: [5][13590/14090]	Time 0.765 (0.750)	Data 0.001 (0.001)	Loss 3.0161 (2.8480)	Prec@1 26.562 (32.749)	Prec@5 61.719 (62.804)
Epoch: [5][13600/14090]	Time 0.727 (0.750)	Data 0.001 (0.001)	Loss 2.8506 (2.8480)	Prec@1 30.469 (32.749)	Prec@5 64.844 (62.804)
Epoch: [5][13610/14090]	Time 0.742 (0.750)	Data 0.001 (0.001)	Loss 3.0081 (2.8480)	Prec@1 31.250 (32.749)	Prec@5 60.156 (62.804)
Epoch: [5][13620/14090]	Time 0.753 (0.750)	Data 0.002 (0.001)	Loss 2.5609 (2.8479)	Prec@1 33.594 (32.749)	Prec@5 67.969 (62.804)
Epoch: [5][13630/14090]	Time 0.735 (0.750)	Data 0.001 (0.001)	Loss 3.0881 (2.8480)	Prec@1 30.469 (32.748)	Prec@5 55.469 (62.803)
Epoch: [5][13640/14090]	Time 0.752 (0.750)	Data 0.001 (0.001)	Loss 2.9395 (2.8480)	Prec@1 27.344 (32.747)	Prec@5 59.375 (62.802)
Epoch: [5][13650/14090]	Time 0.730 (0.750)	Data 0.001 (0.001)	Loss 2.4992 (2.8480)	Prec@1 35.938 (32.749)	Prec@5 71.094 (62.804)
Epoch: [5][13660/14090]	Time 0.736 (0.750)	Data 0.001 (0.001)	Loss 2.8354 (2.8479)	Prec@1 33.594 (32.749)	Prec@5 62.500 (62.803)
Epoch: [5][13670/14090]	Time 0.724 (0.750)	Data 0.001 (0.001)	Loss 2.8232 (2.8480)	Prec@1 35.938 (32.749)	Prec@5 58.594 (62.801)
Epoch: [5][13680/14090]	Time 0.744 (0.750)	Data 0.001 (0.001)	Loss 2.6520 (2.8480)	Prec@1 39.844 (32.749)	Prec@5 64.844 (62.801)
Epoch: [5][13690/14090]	Time 0.728 (0.750)	Data 0.002 (0.001)	Loss 2.5653 (2.8479)	Prec@1 40.625 (32.750)	Prec@5 66.406 (62.801)
Epoch: [5][13700/14090]	Time 0.736 (0.750)	Data 0.001 (0.001)	Loss 2.9510 (2.8480)	Prec@1 29.688 (32.749)	Prec@5 61.719 (62.801)
Epoch: [5][13710/14090]	Time 0.769 (0.750)	Data 0.001 (0.001)	Loss 2.7980 (2.8480)	Prec@1 37.500 (32.748)	Prec@5 59.375 (62.801)
Epoch: [5][13720/14090]	Time 0.785 (0.750)	Data 0.001 (0.001)	Loss 2.6675 (2.8479)	Prec@1 35.938 (32.749)	Prec@5 66.406 (62.801)
Epoch: [5][13730/14090]	Time 0.740 (0.750)	Data 0.001 (0.001)	Loss 2.8309 (2.8479)	Prec@1 31.250 (32.750)	Prec@5 59.375 (62.801)
Epoch: [5][13740/14090]	Time 0.737 (0.750)	Data 0.001 (0.001)	Loss 2.9428 (2.8479)	Prec@1 28.125 (32.751)	Prec@5 61.719 (62.801)
Epoch: [5][13750/14090]	Time 0.741 (0.750)	Data 0.001 (0.001)	Loss 2.9441 (2.8479)	Prec@1 32.812 (32.751)	Prec@5 59.375 (62.802)
Epoch: [5][13760/14090]	Time 0.744 (0.750)	Data 0.002 (0.001)	Loss 2.7149 (2.8478)	Prec@1 33.594 (32.753)	Prec@5 64.062 (62.804)
Epoch: [5][13770/14090]	Time 0.756 (0.750)	Data 0.001 (0.001)	Loss 2.5289 (2.8478)	Prec@1 38.281 (32.752)	Prec@5 67.188 (62.803)
Epoch: [5][13780/14090]	Time 0.738 (0.750)	Data 0.001 (0.001)	Loss 2.4594 (2.8478)	Prec@1 37.500 (32.752)	Prec@5 72.656 (62.803)
Epoch: [5][13790/14090]	Time 0.735 (0.750)	Data 0.001 (0.001)	Loss 3.0018 (2.8479)	Prec@1 30.469 (32.750)	Prec@5 63.281 (62.802)
Epoch: [5][13800/14090]	Time 0.745 (0.750)	Data 0.001 (0.001)	Loss 2.9377 (2.8479)	Prec@1 31.250 (32.750)	Prec@5 58.594 (62.802)
Epoch: [5][13810/14090]	Time 0.756 (0.750)	Data 0.001 (0.001)	Loss 2.7323 (2.8479)	Prec@1 32.812 (32.749)	Prec@5 67.188 (62.802)
Epoch: [5][13820/14090]	Time 0.749 (0.750)	Data 0.001 (0.001)	Loss 2.8431 (2.8479)	Prec@1 33.594 (32.750)	Prec@5 63.281 (62.802)
Epoch: [5][13830/14090]	Time 0.749 (0.750)	Data 0.002 (0.001)	Loss 2.8352 (2.8479)	Prec@1 33.594 (32.750)	Prec@5 61.719 (62.802)
Epoch: [5][13840/14090]	Time 0.765 (0.750)	Data 0.001 (0.001)	Loss 2.9190 (2.8479)	Prec@1 35.156 (32.749)	Prec@5 62.500 (62.801)
Epoch: [5][13850/14090]	Time 0.724 (0.750)	Data 0.001 (0.001)	Loss 2.9875 (2.8480)	Prec@1 31.250 (32.749)	Prec@5 57.812 (62.800)
Epoch: [5][13860/14090]	Time 0.745 (0.750)	Data 0.001 (0.001)	Loss 3.0547 (2.8479)	Prec@1 33.594 (32.749)	Prec@5 54.688 (62.801)
Epoch: [5][13870/14090]	Time 0.734 (0.750)	Data 0.001 (0.001)	Loss 2.8403 (2.8480)	Prec@1 32.031 (32.748)	Prec@5 63.281 (62.800)
Epoch: [5][13880/14090]	Time 0.744 (0.750)	Data 0.001 (0.001)	Loss 2.6482 (2.8479)	Prec@1 34.375 (32.749)	Prec@5 68.750 (62.801)
Epoch: [5][13890/14090]	Time 0.742 (0.750)	Data 0.001 (0.001)	Loss 2.4470 (2.8479)	Prec@1 45.312 (32.750)	Prec@5 71.875 (62.803)
Epoch: [5][13900/14090]	Time 0.734 (0.750)	Data 0.002 (0.001)	Loss 3.3231 (2.8479)	Prec@1 25.000 (32.750)	Prec@5 53.906 (62.803)
Epoch: [5][13910/14090]	Time 0.785 (0.750)	Data 0.001 (0.001)	Loss 2.6617 (2.8479)	Prec@1 35.938 (32.750)	Prec@5 63.281 (62.802)
Epoch: [5][13920/14090]	Time 0.763 (0.750)	Data 0.001 (0.001)	Loss 2.9024 (2.8479)	Prec@1 37.500 (32.752)	Prec@5 62.500 (62.802)
Epoch: [5][13930/14090]	Time 0.733 (0.750)	Data 0.001 (0.001)	Loss 2.7533 (2.8479)	Prec@1 31.250 (32.753)	Prec@5 69.531 (62.803)
Epoch: [5][13940/14090]	Time 0.755 (0.750)	Data 0.001 (0.001)	Loss 2.9310 (2.8479)	Prec@1 31.250 (32.752)	Prec@5 61.719 (62.803)
Epoch: [5][13950/14090]	Time 0.768 (0.750)	Data 0.001 (0.001)	Loss 2.9572 (2.8479)	Prec@1 31.250 (32.750)	Prec@5 60.938 (62.802)
Epoch: [5][13960/14090]	Time 0.746 (0.750)	Data 0.001 (0.001)	Loss 2.5747 (2.8479)	Prec@1 39.062 (32.750)	Prec@5 62.500 (62.800)
Epoch: [5][13970/14090]	Time 0.724 (0.750)	Data 0.002 (0.001)	Loss 2.8587 (2.8479)	Prec@1 32.031 (32.752)	Prec@5 71.094 (62.802)
Epoch: [5][13980/14090]	Time 0.725 (0.750)	Data 0.001 (0.001)	Loss 2.9738 (2.8479)	Prec@1 29.688 (32.750)	Prec@5 57.031 (62.801)
Epoch: [5][13990/14090]	Time 0.782 (0.750)	Data 0.001 (0.001)	Loss 2.9475 (2.8480)	Prec@1 28.906 (32.749)	Prec@5 63.281 (62.801)
Epoch: [5][14000/14090]	Time 0.758 (0.750)	Data 0.001 (0.001)	Loss 2.8786 (2.8479)	Prec@1 35.938 (32.749)	Prec@5 60.156 (62.802)
Epoch: [5][14010/14090]	Time 0.771 (0.750)	Data 0.001 (0.001)	Loss 2.9350 (2.8480)	Prec@1 29.688 (32.749)	Prec@5 60.156 (62.800)
Epoch: [5][14020/14090]	Time 0.734 (0.750)	Data 0.001 (0.001)	Loss 2.8248 (2.8480)	Prec@1 38.281 (32.750)	Prec@5 62.500 (62.801)
Epoch: [5][14030/14090]	Time 0.750 (0.750)	Data 0.001 (0.001)	Loss 2.6640 (2.8480)	Prec@1 38.281 (32.750)	Prec@5 67.188 (62.801)
Epoch: [5][14040/14090]	Time 0.773 (0.750)	Data 0.002 (0.001)	Loss 2.6224 (2.8480)	Prec@1 39.844 (32.750)	Prec@5 66.406 (62.801)
Epoch: [5][14050/14090]	Time 0.743 (0.750)	Data 0.001 (0.001)	Loss 2.5723 (2.8479)	Prec@1 40.625 (32.750)	Prec@5 70.312 (62.803)
Epoch: [5][14060/14090]	Time 0.778 (0.750)	Data 0.001 (0.001)	Loss 2.5835 (2.8479)	Prec@1 35.938 (32.750)	Prec@5 68.750 (62.803)
Epoch: [5][14070/14090]	Time 0.731 (0.750)	Data 0.001 (0.001)	Loss 2.5222 (2.8478)	Prec@1 37.500 (32.750)	Prec@5 69.531 (62.805)
Epoch: [5][14080/14090]	Time 0.731 (0.750)	Data 0.000 (0.001)	Loss 3.0182 (2.8478)	Prec@1 32.031 (32.750)	Prec@5 57.031 (62.805)
Test: [0/286]	Time 2.639 (2.639)	Loss 1.6176 (1.6176)	Prec@1 58.594 (58.594)	Prec@5 89.844 (89.844)
Test: [10/286]	Time 0.266 (0.482)	Loss 2.1953 (2.5641)	Prec@1 35.938 (38.494)	Prec@5 77.344 (70.099)
Test: [20/286]	Time 0.247 (0.369)	Loss 2.6174 (2.5499)	Prec@1 35.938 (36.086)	Prec@5 70.312 (71.168)
Test: [30/286]	Time 0.247 (0.329)	Loss 2.9553 (2.4066)	Prec@1 31.250 (40.146)	Prec@5 58.594 (72.581)
Test: [40/286]	Time 0.289 (0.310)	Loss 2.7737 (2.4828)	Prec@1 28.906 (38.338)	Prec@5 66.406 (70.998)
Test: [50/286]	Time 0.247 (0.298)	Loss 1.5799 (2.4818)	Prec@1 66.406 (38.695)	Prec@5 83.594 (70.879)
Test: [60/286]	Time 0.247 (0.291)	Loss 3.8044 (2.5452)	Prec@1 17.969 (37.910)	Prec@5 44.531 (69.378)
Test: [70/286]	Time 0.240 (0.286)	Loss 2.1040 (2.5758)	Prec@1 50.781 (37.379)	Prec@5 75.781 (68.684)
Test: [80/286]	Time 0.245 (0.282)	Loss 2.8656 (2.5787)	Prec@1 25.781 (36.941)	Prec@5 66.406 (68.470)
Test: [90/286]	Time 0.316 (0.279)	Loss 2.6700 (2.5516)	Prec@1 30.469 (37.500)	Prec@5 75.000 (69.248)
Test: [100/286]	Time 0.256 (0.275)	Loss 3.0432 (2.5544)	Prec@1 22.656 (37.129)	Prec@5 68.750 (69.524)
Test: [110/286]	Time 0.232 (0.273)	Loss 2.7538 (2.5694)	Prec@1 34.375 (36.796)	Prec@5 60.938 (69.186)
Test: [120/286]	Time 0.243 (0.272)	Loss 2.3896 (2.5391)	Prec@1 39.062 (37.649)	Prec@5 75.000 (69.731)
Test: [130/286]	Time 0.263 (0.271)	Loss 2.0579 (2.5315)	Prec@1 46.875 (37.911)	Prec@5 78.125 (69.788)
Test: [140/286]	Time 0.225 (0.271)	Loss 3.1516 (2.5386)	Prec@1 25.000 (37.777)	Prec@5 64.844 (69.781)
Test: [150/286]	Time 0.241 (0.270)	Loss 3.6952 (2.5595)	Prec@1 10.156 (37.133)	Prec@5 47.656 (69.402)
Test: [160/286]	Time 0.239 (0.269)	Loss 3.6284 (2.5646)	Prec@1 10.156 (36.952)	Prec@5 41.406 (69.332)
Test: [170/286]	Time 0.242 (0.269)	Loss 2.6574 (2.5423)	Prec@1 27.344 (37.363)	Prec@5 67.969 (69.732)
Test: [180/286]	Time 0.248 (0.268)	Loss 2.6451 (2.5525)	Prec@1 39.844 (37.124)	Prec@5 67.188 (69.639)
Test: [190/286]	Time 0.269 (0.268)	Loss 3.3801 (2.5693)	Prec@1 22.656 (36.923)	Prec@5 57.031 (69.347)
Test: [200/286]	Time 0.238 (0.267)	Loss 3.0672 (2.5712)	Prec@1 24.219 (36.917)	Prec@5 67.188 (69.279)
Test: [210/286]	Time 0.244 (0.266)	Loss 3.3097 (2.5872)	Prec@1 15.625 (36.600)	Prec@5 57.812 (68.954)
Test: [220/286]	Time 0.274 (0.266)	Loss 3.3325 (2.5983)	Prec@1 17.969 (36.528)	Prec@5 57.031 (68.697)
Test: [230/286]	Time 0.236 (0.265)	Loss 2.1502 (2.6097)	Prec@1 47.656 (36.326)	Prec@5 75.000 (68.435)
Test: [240/286]	Time 0.254 (0.265)	Loss 2.3174 (2.6123)	Prec@1 42.188 (36.424)	Prec@5 75.781 (68.429)
Test: [250/286]	Time 0.236 (0.264)	Loss 2.2197 (2.6078)	Prec@1 45.312 (36.488)	Prec@5 74.219 (68.573)
Test: [260/286]	Time 0.236 (0.264)	Loss 2.0581 (2.5945)	Prec@1 42.969 (36.698)	Prec@5 79.688 (68.798)
Test: [270/286]	Time 0.246 (0.263)	Loss 2.4182 (2.5911)	Prec@1 37.500 (36.652)	Prec@5 73.438 (68.969)
Test: [280/286]	Time 0.229 (0.262)	Loss 2.4737 (2.5761)	Prec@1 34.375 (37.030)	Prec@5 78.125 (69.173)
 * Prec@1 37.195 Prec@5 69.251
Epoch: [6][0/14090]	Time 3.929 (3.929)	Data 3.166 (3.166)	Loss 2.7283 (2.7283)	Prec@1 37.500 (37.500)	Prec@5 63.281 (63.281)
Epoch: [6][10/14090]	Time 0.839 (1.039)	Data 0.001 (0.289)	Loss 2.9511 (2.9129)	Prec@1 32.031 (31.676)	Prec@5 58.594 (61.719)
Epoch: [6][20/14090]	Time 0.740 (0.901)	Data 0.001 (0.152)	Loss 2.6830 (2.8673)	Prec@1 32.031 (32.254)	Prec@5 64.062 (62.426)
Epoch: [6][30/14090]	Time 0.727 (0.852)	Data 0.001 (0.103)	Loss 2.8418 (2.8470)	Prec@1 28.906 (32.258)	Prec@5 67.969 (63.029)
Epoch: [6][40/14090]	Time 0.731 (0.828)	Data 0.001 (0.078)	Loss 2.9892 (2.8270)	Prec@1 28.906 (32.489)	Prec@5 57.812 (63.338)
Epoch: [6][50/14090]	Time 0.754 (0.811)	Data 0.001 (0.063)	Loss 2.9344 (2.8282)	Prec@1 32.031 (32.552)	Prec@5 61.719 (63.266)
Epoch: [6][60/14090]	Time 0.743 (0.802)	Data 0.001 (0.053)	Loss 2.6644 (2.8210)	Prec@1 35.938 (32.620)	Prec@5 68.750 (63.461)
Epoch: [6][70/14090]	Time 0.728 (0.793)	Data 0.001 (0.045)	Loss 2.9108 (2.8296)	Prec@1 37.500 (32.460)	Prec@5 59.375 (63.193)
Epoch: [6][80/14090]	Time 0.748 (0.787)	Data 0.002 (0.040)	Loss 3.1420 (2.8344)	Prec@1 28.906 (32.282)	Prec@5 54.688 (63.011)
Epoch: [6][90/14090]	Time 0.726 (0.783)	Data 0.001 (0.036)	Loss 2.5509 (2.8349)	Prec@1 37.500 (32.512)	Prec@5 67.188 (63.032)
Epoch: [6][100/14090]	Time 0.774 (0.780)	Data 0.001 (0.032)	Loss 3.1218 (2.8445)	Prec@1 26.562 (32.503)	Prec@5 60.156 (62.825)
Epoch: [6][110/14090]	Time 0.738 (0.777)	Data 0.001 (0.029)	Loss 2.7927 (2.8478)	Prec@1 41.406 (32.517)	Prec@5 67.969 (62.810)
Epoch: [6][120/14090]	Time 0.728 (0.775)	Data 0.001 (0.027)	Loss 3.1164 (2.8533)	Prec@1 28.125 (32.412)	Prec@5 55.469 (62.636)
Epoch: [6][130/14090]	Time 0.775 (0.773)	Data 0.001 (0.025)	Loss 2.8941 (2.8501)	Prec@1 33.594 (32.479)	Prec@5 60.938 (62.727)
Epoch: [6][140/14090]	Time 0.752 (0.772)	Data 0.001 (0.023)	Loss 2.7772 (2.8462)	Prec@1 32.031 (32.768)	Prec@5 67.188 (62.882)
Epoch: [6][150/14090]	Time 0.726 (0.770)	Data 0.002 (0.022)	Loss 2.9375 (2.8460)	Prec@1 28.125 (32.766)	Prec@5 57.812 (62.785)
Epoch: [6][160/14090]	Time 0.735 (0.768)	Data 0.001 (0.021)	Loss 2.9526 (2.8440)	Prec@1 28.906 (32.725)	Prec@5 61.719 (62.762)
Epoch: [6][170/14090]	Time 0.750 (0.767)	Data 0.001 (0.019)	Loss 2.7228 (2.8397)	Prec@1 36.719 (32.826)	Prec@5 65.625 (62.847)
Epoch: [6][180/14090]	Time 0.776 (0.767)	Data 0.001 (0.018)	Loss 2.6596 (2.8360)	Prec@1 39.844 (32.895)	Prec@5 70.312 (63.009)
Epoch: [6][190/14090]	Time 0.734 (0.766)	Data 0.001 (0.017)	Loss 2.4744 (2.8391)	Prec@1 39.844 (32.792)	Prec@5 71.094 (62.954)
Epoch: [6][200/14090]	Time 0.761 (0.765)	Data 0.001 (0.017)	Loss 2.6592 (2.8370)	Prec@1 39.062 (32.743)	Prec@5 66.406 (62.943)
Epoch: [6][210/14090]	Time 0.753 (0.765)	Data 0.001 (0.016)	Loss 2.8434 (2.8393)	Prec@1 30.469 (32.690)	Prec@5 61.719 (62.870)
Epoch: [6][220/14090]	Time 0.739 (0.764)	Data 0.002 (0.015)	Loss 2.8260 (2.8361)	Prec@1 32.812 (32.802)	Prec@5 60.938 (62.974)
Epoch: [6][230/14090]	Time 0.780 (0.763)	Data 0.001 (0.015)	Loss 2.8561 (2.8338)	Prec@1 35.938 (32.863)	Prec@5 64.844 (63.011)
Epoch: [6][240/14090]	Time 0.733 (0.762)	Data 0.001 (0.014)	Loss 2.7271 (2.8346)	Prec@1 38.281 (32.936)	Prec@5 69.531 (63.071)
Epoch: [6][250/14090]	Time 0.748 (0.762)	Data 0.001 (0.014)	Loss 2.8931 (2.8352)	Prec@1 31.250 (32.872)	Prec@5 60.156 (63.026)
Epoch: [6][260/14090]	Time 0.750 (0.762)	Data 0.001 (0.013)	Loss 2.8886 (2.8382)	Prec@1 30.469 (32.833)	Prec@5 62.500 (62.967)
Epoch: [6][270/14090]	Time 0.753 (0.761)	Data 0.001 (0.013)	Loss 2.7272 (2.8365)	Prec@1 35.938 (32.873)	Prec@5 69.531 (63.030)
Epoch: [6][280/14090]	Time 0.751 (0.761)	Data 0.001 (0.012)	Loss 2.9052 (2.8385)	Prec@1 29.688 (32.890)	Prec@5 63.281 (62.981)
Epoch: [6][290/14090]	Time 0.748 (0.761)	Data 0.002 (0.012)	Loss 2.7976 (2.8370)	Prec@1 38.281 (32.912)	Prec@5 64.062 (62.999)
Epoch: [6][300/14090]	Time 0.732 (0.760)	Data 0.001 (0.011)	Loss 2.7517 (2.8352)	Prec@1 31.250 (32.989)	Prec@5 67.188 (63.055)
Epoch: [6][310/14090]	Time 0.756 (0.760)	Data 0.001 (0.011)	Loss 3.1742 (2.8355)	Prec@1 30.469 (33.006)	Prec@5 52.344 (63.030)
Epoch: [6][320/14090]	Time 0.750 (0.760)	Data 0.001 (0.011)	Loss 2.8934 (2.8345)	Prec@1 34.375 (33.046)	Prec@5 60.156 (63.028)
Epoch: [6][330/14090]	Time 0.721 (0.759)	Data 0.001 (0.010)	Loss 2.8814 (2.8354)	Prec@1 37.500 (33.037)	Prec@5 64.844 (63.029)
Epoch: [6][340/14090]	Time 0.778 (0.759)	Data 0.001 (0.010)	Loss 2.8400 (2.8327)	Prec@1 31.250 (33.076)	Prec@5 65.625 (63.114)
Epoch: [6][350/14090]	Time 0.740 (0.759)	Data 0.001 (0.010)	Loss 2.7777 (2.8312)	Prec@1 33.594 (33.104)	Prec@5 66.406 (63.179)
Epoch: [6][360/14090]	Time 0.759 (0.758)	Data 0.002 (0.010)	Loss 2.6653 (2.8303)	Prec@1 35.156 (33.135)	Prec@5 64.062 (63.212)
Epoch: [6][370/14090]	Time 0.736 (0.758)	Data 0.001 (0.009)	Loss 2.8230 (2.8313)	Prec@1 34.375 (33.116)	Prec@5 64.844 (63.178)
Epoch: [6][380/14090]	Time 0.756 (0.758)	Data 0.001 (0.009)	Loss 2.9674 (2.8308)	Prec@1 22.656 (33.087)	Prec@5 58.594 (63.173)
Epoch: [6][390/14090]	Time 0.737 (0.758)	Data 0.001 (0.009)	Loss 2.9148 (2.8315)	Prec@1 28.906 (33.060)	Prec@5 63.281 (63.161)
Epoch: [6][400/14090]	Time 0.776 (0.757)	Data 0.001 (0.009)	Loss 2.8273 (2.8314)	Prec@1 32.031 (33.050)	Prec@5 60.938 (63.143)
Epoch: [6][410/14090]	Time 0.758 (0.757)	Data 0.001 (0.009)	Loss 3.0359 (2.8347)	Prec@1 31.250 (32.995)	Prec@5 59.375 (63.089)
Epoch: [6][420/14090]	Time 0.728 (0.757)	Data 0.001 (0.008)	Loss 3.1164 (2.8360)	Prec@1 32.812 (32.989)	Prec@5 54.688 (63.038)
Epoch: [6][430/14090]	Time 0.750 (0.757)	Data 0.002 (0.008)	Loss 2.9902 (2.8351)	Prec@1 28.906 (33.008)	Prec@5 60.156 (63.037)
Epoch: [6][440/14090]	Time 0.741 (0.757)	Data 0.001 (0.008)	Loss 2.6481 (2.8365)	Prec@1 35.938 (32.993)	Prec@5 66.406 (62.998)
Epoch: [6][450/14090]	Time 0.733 (0.756)	Data 0.001 (0.008)	Loss 2.8853 (2.8354)	Prec@1 35.156 (33.029)	Prec@5 59.375 (63.032)
Epoch: [6][460/14090]	Time 0.745 (0.756)	Data 0.001 (0.008)	Loss 2.8728 (2.8358)	Prec@1 32.812 (33.029)	Prec@5 59.375 (63.059)
Epoch: [6][470/14090]	Time 0.751 (0.756)	Data 0.001 (0.008)	Loss 2.8234 (2.8363)	Prec@1 32.031 (33.021)	Prec@5 64.062 (63.071)
Epoch: [6][480/14090]	Time 0.753 (0.756)	Data 0.001 (0.008)	Loss 2.9691 (2.8368)	Prec@1 28.906 (33.011)	Prec@5 66.406 (63.070)
Epoch: [6][490/14090]	Time 0.758 (0.756)	Data 0.001 (0.007)	Loss 3.1697 (2.8370)	Prec@1 25.000 (33.011)	Prec@5 56.250 (63.065)
Epoch: [6][500/14090]	Time 0.747 (0.756)	Data 0.002 (0.007)	Loss 3.0645 (2.8380)	Prec@1 30.469 (32.978)	Prec@5 60.156 (63.047)
Epoch: [6][510/14090]	Time 0.736 (0.755)	Data 0.001 (0.007)	Loss 3.1504 (2.8392)	Prec@1 28.906 (32.953)	Prec@5 59.375 (63.026)
Epoch: [6][520/14090]	Time 0.747 (0.755)	Data 0.001 (0.007)	Loss 2.9951 (2.8392)	Prec@1 25.781 (32.941)	Prec@5 55.469 (63.056)
Epoch: [6][530/14090]	Time 0.755 (0.755)	Data 0.001 (0.007)	Loss 2.7966 (2.8384)	Prec@1 31.250 (32.923)	Prec@5 67.969 (63.109)
Epoch: [6][540/14090]	Time 0.749 (0.755)	Data 0.001 (0.007)	Loss 2.4344 (2.8371)	Prec@1 44.531 (32.951)	Prec@5 71.094 (63.115)
Epoch: [6][550/14090]	Time 0.737 (0.755)	Data 0.001 (0.007)	Loss 2.8784 (2.8370)	Prec@1 34.375 (32.966)	Prec@5 64.844 (63.118)
Epoch: [6][560/14090]	Time 0.749 (0.755)	Data 0.001 (0.007)	Loss 2.9548 (2.8362)	Prec@1 30.469 (32.975)	Prec@5 62.500 (63.134)
Epoch: [6][570/14090]	Time 0.733 (0.755)	Data 0.002 (0.006)	Loss 3.0822 (2.8348)	Prec@1 30.469 (32.990)	Prec@5 58.594 (63.165)
Epoch: [6][580/14090]	Time 0.729 (0.754)	Data 0.001 (0.006)	Loss 3.1191 (2.8352)	Prec@1 28.125 (32.974)	Prec@5 57.031 (63.151)
Epoch: [6][590/14090]	Time 0.769 (0.754)	Data 0.001 (0.006)	Loss 3.1875 (2.8367)	Prec@1 26.562 (32.924)	Prec@5 53.906 (63.123)
Epoch: [6][600/14090]	Time 0.725 (0.754)	Data 0.001 (0.006)	Loss 2.8122 (2.8367)	Prec@1 32.031 (32.915)	Prec@5 64.844 (63.125)
Epoch: [6][610/14090]	Time 0.776 (0.754)	Data 0.001 (0.006)	Loss 2.7074 (2.8354)	Prec@1 31.250 (32.930)	Prec@5 63.281 (63.146)
Epoch: [6][620/14090]	Time 0.748 (0.754)	Data 0.001 (0.006)	Loss 3.1168 (2.8365)	Prec@1 25.781 (32.911)	Prec@5 56.250 (63.103)
Epoch: [6][630/14090]	Time 0.741 (0.754)	Data 0.001 (0.006)	Loss 3.0082 (2.8365)	Prec@1 31.250 (32.914)	Prec@5 60.938 (63.126)
Epoch: [6][640/14090]	Time 0.737 (0.754)	Data 0.002 (0.006)	Loss 2.6139 (2.8372)	Prec@1 40.625 (32.915)	Prec@5 67.969 (63.105)
Epoch: [6][650/14090]	Time 0.736 (0.754)	Data 0.001 (0.006)	Loss 2.8204 (2.8371)	Prec@1 36.719 (32.925)	Prec@5 66.406 (63.128)
Epoch: [6][660/14090]	Time 0.759 (0.754)	Data 0.001 (0.006)	Loss 2.7846 (2.8360)	Prec@1 36.719 (32.935)	Prec@5 65.625 (63.169)
Epoch: [6][670/14090]	Time 0.761 (0.754)	Data 0.001 (0.006)	Loss 2.9087 (2.8367)	Prec@1 35.938 (32.936)	Prec@5 60.938 (63.137)
Epoch: [6][680/14090]	Time 0.770 (0.753)	Data 0.001 (0.006)	Loss 2.3485 (2.8350)	Prec@1 42.188 (32.952)	Prec@5 75.000 (63.153)
Epoch: [6][690/14090]	Time 0.738 (0.754)	Data 0.001 (0.006)	Loss 2.6454 (2.8342)	Prec@1 36.719 (32.967)	Prec@5 68.750 (63.187)
Epoch: [6][700/14090]	Time 0.758 (0.753)	Data 0.001 (0.005)	Loss 2.8024 (2.8341)	Prec@1 35.156 (32.969)	Prec@5 62.500 (63.192)
Epoch: [6][710/14090]	Time 0.761 (0.753)	Data 0.002 (0.005)	Loss 2.9558 (2.8350)	Prec@1 31.250 (32.942)	Prec@5 57.031 (63.168)
Epoch: [6][720/14090]	Time 0.721 (0.753)	Data 0.001 (0.005)	Loss 2.8747 (2.8353)	Prec@1 30.469 (32.951)	Prec@5 60.156 (63.162)
Epoch: [6][730/14090]	Time 0.738 (0.753)	Data 0.001 (0.005)	Loss 2.5181 (2.8345)	Prec@1 31.250 (32.970)	Prec@5 68.750 (63.180)
Epoch: [6][740/14090]	Time 0.739 (0.753)	Data 0.001 (0.005)	Loss 2.7283 (2.8344)	Prec@1 32.812 (32.972)	Prec@5 64.844 (63.177)
Epoch: [6][750/14090]	Time 0.779 (0.753)	Data 0.001 (0.005)	Loss 2.7573 (2.8335)	Prec@1 39.062 (33.007)	Prec@5 63.281 (63.180)
Epoch: [6][760/14090]	Time 0.754 (0.753)	Data 0.001 (0.005)	Loss 2.7315 (2.8331)	Prec@1 34.375 (33.019)	Prec@5 66.406 (63.170)
Epoch: [6][770/14090]	Time 0.732 (0.753)	Data 0.001 (0.005)	Loss 2.7939 (2.8325)	Prec@1 32.812 (33.039)	Prec@5 60.156 (63.186)
Epoch: [6][780/14090]	Time 0.734 (0.753)	Data 0.002 (0.005)	Loss 2.5995 (2.8317)	Prec@1 34.375 (33.063)	Prec@5 66.406 (63.199)
Epoch: [6][790/14090]	Time 0.756 (0.753)	Data 0.001 (0.005)	Loss 2.7405 (2.8315)	Prec@1 28.125 (33.079)	Prec@5 68.750 (63.208)
Epoch: [6][800/14090]	Time 0.739 (0.753)	Data 0.001 (0.005)	Loss 2.7832 (2.8319)	Prec@1 35.156 (33.063)	Prec@5 72.656 (63.214)
Epoch: [6][810/14090]	Time 0.759 (0.753)	Data 0.001 (0.005)	Loss 2.6167 (2.8312)	Prec@1 35.156 (33.073)	Prec@5 63.281 (63.223)
Epoch: [6][820/14090]	Time 0.730 (0.752)	Data 0.001 (0.005)	Loss 2.9922 (2.8317)	Prec@1 32.031 (33.069)	Prec@5 59.375 (63.217)
Epoch: [6][830/14090]	Time 0.731 (0.752)	Data 0.001 (0.005)	Loss 2.6601 (2.8308)	Prec@1 37.500 (33.082)	Prec@5 67.188 (63.243)
Epoch: [6][840/14090]	Time 0.758 (0.752)	Data 0.001 (0.005)	Loss 2.7254 (2.8316)	Prec@1 31.250 (33.044)	Prec@5 63.281 (63.233)
Epoch: [6][850/14090]	Time 0.741 (0.752)	Data 0.002 (0.005)	Loss 3.1277 (2.8331)	Prec@1 29.688 (32.999)	Prec@5 54.688 (63.197)
Epoch: [6][860/14090]	Time 0.754 (0.752)	Data 0.001 (0.005)	Loss 2.8608 (2.8311)	Prec@1 29.688 (33.020)	Prec@5 64.062 (63.219)
Epoch: [6][870/14090]	Time 0.731 (0.752)	Data 0.001 (0.005)	Loss 2.9749 (2.8313)	Prec@1 28.906 (32.999)	Prec@5 58.594 (63.210)
Epoch: [6][880/14090]	Time 0.733 (0.752)	Data 0.001 (0.005)	Loss 2.7007 (2.8309)	Prec@1 38.281 (33.016)	Prec@5 65.625 (63.232)
Epoch: [6][890/14090]	Time 0.751 (0.752)	Data 0.001 (0.004)	Loss 2.9270 (2.8303)	Prec@1 29.688 (33.014)	Prec@5 63.281 (63.236)
Epoch: [6][900/14090]	Time 0.746 (0.752)	Data 0.001 (0.004)	Loss 2.6818 (2.8296)	Prec@1 32.031 (33.006)	Prec@5 67.969 (63.252)
Epoch: [6][910/14090]	Time 0.736 (0.752)	Data 0.001 (0.004)	Loss 2.9324 (2.8296)	Prec@1 30.469 (32.999)	Prec@5 58.594 (63.253)
Epoch: [6][920/14090]	Time 0.735 (0.752)	Data 0.002 (0.004)	Loss 2.7298 (2.8291)	Prec@1 36.719 (33.003)	Prec@5 64.844 (63.267)
Epoch: [6][930/14090]	Time 0.738 (0.752)	Data 0.001 (0.004)	Loss 2.5783 (2.8291)	Prec@1 41.406 (33.002)	Prec@5 65.625 (63.264)
Epoch: [6][940/14090]	Time 0.760 (0.752)	Data 0.001 (0.004)	Loss 3.1863 (2.8306)	Prec@1 26.562 (32.981)	Prec@5 53.906 (63.230)
Epoch: [6][950/14090]	Time 0.753 (0.752)	Data 0.001 (0.004)	Loss 2.7684 (2.8303)	Prec@1 29.688 (32.985)	Prec@5 67.188 (63.245)
Epoch: [6][960/14090]	Time 0.750 (0.752)	Data 0.001 (0.004)	Loss 3.0873 (2.8302)	Prec@1 24.219 (32.995)	Prec@5 57.031 (63.232)
Epoch: [6][970/14090]	Time 0.758 (0.752)	Data 0.001 (0.004)	Loss 2.5791 (2.8296)	Prec@1 35.938 (33.002)	Prec@5 66.406 (63.250)
Epoch: [6][980/14090]	Time 0.722 (0.752)	Data 0.001 (0.004)	Loss 3.1102 (2.8299)	Prec@1 27.344 (32.993)	Prec@5 52.344 (63.254)
Epoch: [6][990/14090]	Time 0.753 (0.752)	Data 0.002 (0.004)	Loss 2.9356 (2.8303)	Prec@1 34.375 (33.001)	Prec@5 62.500 (63.241)
Epoch: [6][1000/14090]	Time 0.758 (0.752)	Data 0.001 (0.004)	Loss 2.8119 (2.8300)	Prec@1 30.469 (33.002)	Prec@5 62.500 (63.241)
Epoch: [6][1010/14090]	Time 0.727 (0.752)	Data 0.001 (0.004)	Loss 2.9042 (2.8301)	Prec@1 36.719 (33.013)	Prec@5 64.844 (63.237)
Epoch: [6][1020/14090]	Time 0.770 (0.752)	Data 0.001 (0.004)	Loss 2.9569 (2.8298)	Prec@1 30.469 (33.024)	Prec@5 59.375 (63.231)
Epoch: [6][1030/14090]	Time 0.751 (0.752)	Data 0.001 (0.004)	Loss 2.7742 (2.8299)	Prec@1 29.688 (33.028)	Prec@5 60.938 (63.214)
Epoch: [6][1040/14090]	Time 0.727 (0.752)	Data 0.001 (0.004)	Loss 3.0472 (2.8297)	Prec@1 28.125 (33.053)	Prec@5 56.250 (63.222)
Epoch: [6][1050/14090]	Time 0.765 (0.752)	Data 0.001 (0.004)	Loss 2.6504 (2.8294)	Prec@1 33.594 (33.067)	Prec@5 68.750 (63.240)
Epoch: [6][1060/14090]	Time 0.737 (0.752)	Data 0.002 (0.004)	Loss 2.9476 (2.8291)	Prec@1 31.250 (33.080)	Prec@5 60.156 (63.234)
Epoch: [6][1070/14090]	Time 0.760 (0.752)	Data 0.001 (0.004)	Loss 2.9257 (2.8286)	Prec@1 28.906 (33.093)	Prec@5 56.250 (63.237)
Epoch: [6][1080/14090]	Time 0.739 (0.751)	Data 0.001 (0.004)	Loss 2.8337 (2.8292)	Prec@1 34.375 (33.074)	Prec@5 64.844 (63.204)
Epoch: [6][1090/14090]	Time 0.753 (0.751)	Data 0.001 (0.004)	Loss 2.6520 (2.8291)	Prec@1 35.938 (33.078)	Prec@5 67.969 (63.206)
Epoch: [6][1100/14090]	Time 0.748 (0.751)	Data 0.001 (0.004)	Loss 2.6724 (2.8287)	Prec@1 33.594 (33.091)	Prec@5 67.188 (63.215)
Epoch: [6][1110/14090]	Time 0.769 (0.751)	Data 0.001 (0.004)	Loss 2.8209 (2.8294)	Prec@1 32.812 (33.059)	Prec@5 63.281 (63.202)
Epoch: [6][1120/14090]	Time 0.754 (0.751)	Data 0.001 (0.004)	Loss 2.6116 (2.8290)	Prec@1 37.500 (33.055)	Prec@5 66.406 (63.212)
Epoch: [6][1130/14090]	Time 0.757 (0.751)	Data 0.002 (0.004)	Loss 2.7194 (2.8288)	Prec@1 29.688 (33.053)	Prec@5 64.844 (63.222)
Epoch: [6][1140/14090]	Time 0.771 (0.751)	Data 0.001 (0.004)	Loss 2.7731 (2.8289)	Prec@1 34.375 (33.043)	Prec@5 60.938 (63.216)
Epoch: [6][1150/14090]	Time 0.733 (0.751)	Data 0.001 (0.004)	Loss 2.7741 (2.8286)	Prec@1 38.281 (33.064)	Prec@5 61.719 (63.230)
Epoch: [6][1160/14090]	Time 0.736 (0.751)	Data 0.001 (0.004)	Loss 2.7497 (2.8282)	Prec@1 32.031 (33.074)	Prec@5 67.188 (63.238)
Epoch: [6][1170/14090]	Time 0.740 (0.751)	Data 0.001 (0.004)	Loss 3.0320 (2.8287)	Prec@1 25.781 (33.063)	Prec@5 58.594 (63.222)
Epoch: [6][1180/14090]	Time 0.759 (0.751)	Data 0.001 (0.004)	Loss 2.8405 (2.8291)	Prec@1 33.594 (33.057)	Prec@5 62.500 (63.211)
Epoch: [6][1190/14090]	Time 0.750 (0.751)	Data 0.001 (0.004)	Loss 2.9207 (2.8286)	Prec@1 31.250 (33.057)	Prec@5 62.500 (63.221)
Epoch: [6][1200/14090]	Time 0.730 (0.751)	Data 0.002 (0.004)	Loss 3.0701 (2.8292)	Prec@1 22.656 (33.026)	Prec@5 57.812 (63.204)
Epoch: [6][1210/14090]	Time 0.753 (0.751)	Data 0.001 (0.004)	Loss 2.9625 (2.8299)	Prec@1 27.344 (32.999)	Prec@5 58.594 (63.190)
Epoch: [6][1220/14090]	Time 0.745 (0.751)	Data 0.001 (0.004)	Loss 3.1515 (2.8299)	Prec@1 29.688 (33.005)	Prec@5 56.250 (63.191)
Epoch: [6][1230/14090]	Time 0.774 (0.751)	Data 0.001 (0.004)	Loss 2.6913 (2.8296)	Prec@1 37.500 (33.016)	Prec@5 65.625 (63.202)
Epoch: [6][1240/14090]	Time 0.777 (0.751)	Data 0.001 (0.003)	Loss 2.8327 (2.8301)	Prec@1 32.812 (33.003)	Prec@5 60.156 (63.170)
Epoch: [6][1250/14090]	Time 0.725 (0.751)	Data 0.001 (0.003)	Loss 2.7331 (2.8300)	Prec@1 30.469 (33.009)	Prec@5 66.406 (63.164)
Epoch: [6][1260/14090]	Time 0.744 (0.751)	Data 0.001 (0.003)	Loss 2.7948 (2.8296)	Prec@1 33.594 (33.011)	Prec@5 64.062 (63.188)
Epoch: [6][1270/14090]	Time 0.725 (0.751)	Data 0.002 (0.003)	Loss 2.6694 (2.8295)	Prec@1 34.375 (33.004)	Prec@5 67.969 (63.190)
Epoch: [6][1280/14090]	Time 0.752 (0.751)	Data 0.001 (0.003)	Loss 2.8560 (2.8287)	Prec@1 28.125 (33.011)	Prec@5 64.844 (63.198)
Epoch: [6][1290/14090]	Time 0.740 (0.751)	Data 0.001 (0.003)	Loss 3.3673 (2.8293)	Prec@1 21.094 (33.004)	Prec@5 55.469 (63.179)
Epoch: [6][1300/14090]	Time 0.761 (0.751)	Data 0.001 (0.003)	Loss 2.8888 (2.8303)	Prec@1 34.375 (32.996)	Prec@5 66.406 (63.152)
Epoch: [6][1310/14090]	Time 0.731 (0.751)	Data 0.001 (0.003)	Loss 2.8743 (2.8303)	Prec@1 29.688 (32.987)	Prec@5 64.844 (63.148)
Epoch: [6][1320/14090]	Time 0.756 (0.751)	Data 0.001 (0.003)	Loss 2.6703 (2.8300)	Prec@1 31.250 (32.989)	Prec@5 62.500 (63.149)
Epoch: [6][1330/14090]	Time 0.788 (0.751)	Data 0.001 (0.003)	Loss 2.7527 (2.8296)	Prec@1 35.156 (33.006)	Prec@5 63.281 (63.160)
Epoch: [6][1340/14090]	Time 0.752 (0.751)	Data 0.002 (0.003)	Loss 3.0010 (2.8302)	Prec@1 28.125 (32.976)	Prec@5 60.938 (63.153)
Epoch: [6][1350/14090]	Time 0.745 (0.751)	Data 0.001 (0.003)	Loss 2.8278 (2.8310)	Prec@1 28.125 (32.956)	Prec@5 58.594 (63.140)
Epoch: [6][1360/14090]	Time 0.777 (0.751)	Data 0.001 (0.003)	Loss 2.6266 (2.8297)	Prec@1 33.594 (32.976)	Prec@5 64.844 (63.161)
Epoch: [6][1370/14090]	Time 0.756 (0.751)	Data 0.001 (0.003)	Loss 2.7855 (2.8300)	Prec@1 32.031 (32.981)	Prec@5 62.500 (63.158)
Epoch: [6][1380/14090]	Time 0.750 (0.751)	Data 0.001 (0.003)	Loss 3.0708 (2.8301)	Prec@1 23.438 (32.984)	Prec@5 56.250 (63.154)
Epoch: [6][1390/14090]	Time 0.728 (0.751)	Data 0.001 (0.003)	Loss 3.0443 (2.8299)	Prec@1 34.375 (32.993)	Prec@5 60.938 (63.167)
Epoch: [6][1400/14090]	Time 0.736 (0.751)	Data 0.001 (0.003)	Loss 3.0203 (2.8299)	Prec@1 27.344 (32.981)	Prec@5 61.719 (63.166)
Epoch: [6][1410/14090]	Time 0.731 (0.751)	Data 0.002 (0.003)	Loss 2.9416 (2.8290)	Prec@1 33.594 (33.001)	Prec@5 64.062 (63.192)
Epoch: [6][1420/14090]	Time 0.739 (0.751)	Data 0.001 (0.003)	Loss 2.7980 (2.8283)	Prec@1 35.938 (33.024)	Prec@5 67.969 (63.209)
Epoch: [6][1430/14090]	Time 0.732 (0.751)	Data 0.001 (0.003)	Loss 2.8611 (2.8285)	Prec@1 33.594 (33.030)	Prec@5 57.031 (63.198)
Epoch: [6][1440/14090]	Time 0.744 (0.751)	Data 0.001 (0.003)	Loss 2.9980 (2.8283)	Prec@1 28.906 (33.026)	Prec@5 62.500 (63.203)
Epoch: [6][1450/14090]	Time 0.759 (0.751)	Data 0.001 (0.003)	Loss 2.9945 (2.8283)	Prec@1 30.469 (33.018)	Prec@5 57.812 (63.197)
Epoch: [6][1460/14090]	Time 0.763 (0.751)	Data 0.001 (0.003)	Loss 2.7899 (2.8288)	Prec@1 34.375 (33.016)	Prec@5 70.312 (63.194)
Epoch: [6][1470/14090]	Time 0.741 (0.751)	Data 0.001 (0.003)	Loss 2.7942 (2.8286)	Prec@1 29.688 (33.011)	Prec@5 62.500 (63.203)
Epoch: [6][1480/14090]	Time 0.732 (0.751)	Data 0.002 (0.003)	Loss 2.6139 (2.8281)	Prec@1 35.156 (33.025)	Prec@5 68.750 (63.215)
Epoch: [6][1490/14090]	Time 0.753 (0.751)	Data 0.001 (0.003)	Loss 3.1051 (2.8275)	Prec@1 25.000 (33.036)	Prec@5 55.469 (63.228)
Epoch: [6][1500/14090]	Time 0.747 (0.751)	Data 0.001 (0.003)	Loss 2.8082 (2.8281)	Prec@1 36.719 (33.038)	Prec@5 62.500 (63.213)
Epoch: [6][1510/14090]	Time 0.732 (0.751)	Data 0.001 (0.003)	Loss 2.8164 (2.8280)	Prec@1 32.812 (33.037)	Prec@5 60.938 (63.219)
Epoch: [6][1520/14090]	Time 0.785 (0.751)	Data 0.001 (0.003)	Loss 2.8496 (2.8285)	Prec@1 31.250 (33.025)	Prec@5 64.062 (63.213)
Epoch: [6][1530/14090]	Time 0.745 (0.751)	Data 0.001 (0.003)	Loss 2.5531 (2.8285)	Prec@1 35.938 (33.030)	Prec@5 69.531 (63.220)
Epoch: [6][1540/14090]	Time 0.728 (0.751)	Data 0.001 (0.003)	Loss 2.9965 (2.8278)	Prec@1 31.250 (33.047)	Prec@5 54.688 (63.233)
Epoch: [6][1550/14090]	Time 0.744 (0.751)	Data 0.002 (0.003)	Loss 2.9998 (2.8275)	Prec@1 34.375 (33.048)	Prec@5 59.375 (63.232)
Epoch: [6][1560/14090]	Time 0.726 (0.751)	Data 0.001 (0.003)	Loss 2.9489 (2.8272)	Prec@1 27.344 (33.054)	Prec@5 60.938 (63.242)
Epoch: [6][1570/14090]	Time 0.741 (0.751)	Data 0.001 (0.003)	Loss 2.6117 (2.8274)	Prec@1 33.594 (33.046)	Prec@5 65.625 (63.233)
Epoch: [6][1580/14090]	Time 0.754 (0.751)	Data 0.001 (0.003)	Loss 2.7774 (2.8277)	Prec@1 32.812 (33.043)	Prec@5 67.188 (63.224)
Epoch: [6][1590/14090]	Time 0.757 (0.751)	Data 0.001 (0.003)	Loss 3.0126 (2.8278)	Prec@1 30.469 (33.035)	Prec@5 57.031 (63.225)
Epoch: [6][1600/14090]	Time 0.761 (0.751)	Data 0.001 (0.003)	Loss 3.1176 (2.8288)	Prec@1 30.469 (33.016)	Prec@5 56.250 (63.204)
Epoch: [6][1610/14090]	Time 0.754 (0.751)	Data 0.001 (0.003)	Loss 2.8445 (2.8285)	Prec@1 35.938 (33.025)	Prec@5 61.719 (63.207)
Epoch: [6][1620/14090]	Time 0.749 (0.751)	Data 0.002 (0.003)	Loss 2.7443 (2.8288)	Prec@1 30.469 (33.014)	Prec@5 62.500 (63.193)
Epoch: [6][1630/14090]	Time 0.735 (0.751)	Data 0.001 (0.003)	Loss 2.6903 (2.8290)	Prec@1 32.812 (33.017)	Prec@5 69.531 (63.187)
Epoch: [6][1640/14090]	Time 0.755 (0.751)	Data 0.001 (0.003)	Loss 2.6597 (2.8294)	Prec@1 31.250 (33.004)	Prec@5 67.188 (63.177)
Epoch: [6][1650/14090]	Time 0.753 (0.751)	Data 0.001 (0.003)	Loss 2.8154 (2.8293)	Prec@1 35.156 (33.002)	Prec@5 66.406 (63.179)
Epoch: [6][1660/14090]	Time 0.753 (0.751)	Data 0.001 (0.003)	Loss 2.8954 (2.8301)	Prec@1 28.906 (32.993)	Prec@5 62.500 (63.171)
Epoch: [6][1670/14090]	Time 0.721 (0.751)	Data 0.001 (0.003)	Loss 2.9797 (2.8301)	Prec@1 28.125 (32.996)	Prec@5 55.469 (63.167)
Epoch: [6][1680/14090]	Time 0.739 (0.751)	Data 0.001 (0.003)	Loss 2.9131 (2.8306)	Prec@1 28.906 (32.978)	Prec@5 61.719 (63.153)
Epoch: [6][1690/14090]	Time 0.723 (0.751)	Data 0.002 (0.003)	Loss 2.8169 (2.8307)	Prec@1 35.156 (32.976)	Prec@5 66.406 (63.162)
Epoch: [6][1700/14090]	Time 0.752 (0.751)	Data 0.001 (0.003)	Loss 3.1754 (2.8309)	Prec@1 26.562 (32.962)	Prec@5 50.781 (63.155)
Epoch: [6][1710/14090]	Time 0.746 (0.751)	Data 0.001 (0.003)	Loss 3.1074 (2.8310)	Prec@1 28.906 (32.959)	Prec@5 55.469 (63.147)
Epoch: [6][1720/14090]	Time 0.788 (0.751)	Data 0.001 (0.003)	Loss 2.8118 (2.8312)	Prec@1 29.688 (32.955)	Prec@5 64.844 (63.139)
Epoch: [6][1730/14090]	Time 0.756 (0.751)	Data 0.001 (0.003)	Loss 2.8017 (2.8310)	Prec@1 33.594 (32.950)	Prec@5 60.938 (63.136)
Epoch: [6][1740/14090]	Time 0.756 (0.751)	Data 0.001 (0.003)	Loss 2.9736 (2.8315)	Prec@1 29.688 (32.945)	Prec@5 62.500 (63.130)
Epoch: [6][1750/14090]	Time 0.758 (0.751)	Data 0.001 (0.003)	Loss 2.5499 (2.8316)	Prec@1 41.406 (32.951)	Prec@5 68.750 (63.129)
Epoch: [6][1760/14090]	Time 0.757 (0.751)	Data 0.002 (0.003)	Loss 2.6582 (2.8313)	Prec@1 32.812 (32.957)	Prec@5 64.844 (63.129)
Epoch: [6][1770/14090]	Time 0.750 (0.751)	Data 0.001 (0.003)	Loss 2.7479 (2.8313)	Prec@1 35.156 (32.956)	Prec@5 64.062 (63.137)
Epoch: [6][1780/14090]	Time 0.748 (0.751)	Data 0.001 (0.003)	Loss 2.8700 (2.8309)	Prec@1 35.938 (32.969)	Prec@5 63.281 (63.145)
Epoch: [6][1790/14090]	Time 0.753 (0.751)	Data 0.001 (0.003)	Loss 3.0471 (2.8310)	Prec@1 23.438 (32.960)	Prec@5 64.062 (63.139)
Epoch: [6][1800/14090]	Time 0.745 (0.751)	Data 0.001 (0.003)	Loss 2.7352 (2.8306)	Prec@1 35.156 (32.963)	Prec@5 66.406 (63.144)
Epoch: [6][1810/14090]	Time 0.753 (0.750)	Data 0.001 (0.003)	Loss 2.7230 (2.8306)	Prec@1 35.938 (32.972)	Prec@5 61.719 (63.146)
Epoch: [6][1820/14090]	Time 0.723 (0.750)	Data 0.001 (0.003)	Loss 2.7357 (2.8305)	Prec@1 32.812 (32.971)	Prec@5 62.500 (63.144)
Epoch: [6][1830/14090]	Time 0.754 (0.750)	Data 0.002 (0.003)	Loss 2.6524 (2.8308)	Prec@1 37.500 (32.971)	Prec@5 67.188 (63.141)
Epoch: [6][1840/14090]	Time 0.764 (0.750)	Data 0.001 (0.003)	Loss 2.8298 (2.8307)	Prec@1 27.344 (32.971)	Prec@5 62.500 (63.148)
Epoch: [6][1850/14090]	Time 0.757 (0.750)	Data 0.001 (0.003)	Loss 2.6685 (2.8306)	Prec@1 35.156 (32.970)	Prec@5 67.969 (63.152)
Epoch: [6][1860/14090]	Time 0.757 (0.750)	Data 0.001 (0.003)	Loss 2.7416 (2.8307)	Prec@1 36.719 (32.970)	Prec@5 64.062 (63.153)
Epoch: [6][1870/14090]	Time 0.725 (0.750)	Data 0.001 (0.003)	Loss 2.8693 (2.8306)	Prec@1 31.250 (32.980)	Prec@5 58.594 (63.144)
Epoch: [6][1880/14090]	Time 0.778 (0.750)	Data 0.001 (0.003)	Loss 3.0536 (2.8308)	Prec@1 29.688 (32.983)	Prec@5 58.594 (63.142)
Epoch: [6][1890/14090]	Time 0.746 (0.750)	Data 0.001 (0.003)	Loss 2.9943 (2.8306)	Prec@1 29.688 (32.989)	Prec@5 58.594 (63.148)
Epoch: [6][1900/14090]	Time 0.748 (0.750)	Data 0.002 (0.003)	Loss 3.0954 (2.8310)	Prec@1 28.125 (32.988)	Prec@5 59.375 (63.136)
Epoch: [6][1910/14090]	Time 0.769 (0.750)	Data 0.001 (0.003)	Loss 2.7833 (2.8307)	Prec@1 35.156 (32.998)	Prec@5 65.625 (63.148)
Epoch: [6][1920/14090]	Time 0.731 (0.750)	Data 0.001 (0.003)	Loss 2.8677 (2.8301)	Prec@1 30.469 (33.006)	Prec@5 66.406 (63.161)
Epoch: [6][1930/14090]	Time 0.732 (0.750)	Data 0.001 (0.003)	Loss 2.9524 (2.8305)	Prec@1 28.125 (32.997)	Prec@5 60.156 (63.157)
Epoch: [6][1940/14090]	Time 0.778 (0.750)	Data 0.001 (0.003)	Loss 2.8666 (2.8300)	Prec@1 30.469 (33.007)	Prec@5 60.938 (63.174)
Epoch: [6][1950/14090]	Time 0.727 (0.750)	Data 0.001 (0.003)	Loss 2.6164 (2.8301)	Prec@1 35.938 (32.998)	Prec@5 67.188 (63.178)
Epoch: [6][1960/14090]	Time 0.754 (0.750)	Data 0.001 (0.003)	Loss 2.7238 (2.8297)	Prec@1 39.062 (33.013)	Prec@5 64.062 (63.185)
Epoch: [6][1970/14090]	Time 0.770 (0.750)	Data 0.002 (0.003)	Loss 2.7154 (2.8296)	Prec@1 34.375 (33.011)	Prec@5 67.188 (63.188)
Epoch: [6][1980/14090]	Time 0.779 (0.750)	Data 0.001 (0.003)	Loss 3.1392 (2.8301)	Prec@1 30.469 (32.999)	Prec@5 56.250 (63.170)
Epoch: [6][1990/14090]	Time 0.730 (0.750)	Data 0.001 (0.003)	Loss 2.4456 (2.8300)	Prec@1 35.156 (32.996)	Prec@5 73.438 (63.175)
Epoch: [6][2000/14090]	Time 0.758 (0.750)	Data 0.001 (0.003)	Loss 2.9491 (2.8305)	Prec@1 31.250 (32.980)	Prec@5 62.500 (63.171)
Epoch: [6][2010/14090]	Time 0.742 (0.750)	Data 0.001 (0.003)	Loss 3.0605 (2.8307)	Prec@1 30.469 (32.981)	Prec@5 58.594 (63.164)
Epoch: [6][2020/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 2.9761 (2.8309)	Prec@1 29.688 (32.975)	Prec@5 61.719 (63.156)
Epoch: [6][2030/14090]	Time 0.745 (0.750)	Data 0.001 (0.002)	Loss 2.7042 (2.8306)	Prec@1 31.250 (32.977)	Prec@5 67.969 (63.164)
Epoch: [6][2040/14090]	Time 0.760 (0.750)	Data 0.002 (0.002)	Loss 3.1620 (2.8304)	Prec@1 28.125 (32.982)	Prec@5 57.031 (63.169)
Epoch: [6][2050/14090]	Time 0.735 (0.750)	Data 0.001 (0.002)	Loss 2.8254 (2.8304)	Prec@1 33.594 (32.980)	Prec@5 58.594 (63.172)
Epoch: [6][2060/14090]	Time 0.770 (0.750)	Data 0.001 (0.002)	Loss 2.9866 (2.8303)	Prec@1 30.469 (32.977)	Prec@5 63.281 (63.171)
Epoch: [6][2070/14090]	Time 0.726 (0.750)	Data 0.001 (0.002)	Loss 2.6913 (2.8303)	Prec@1 35.938 (32.980)	Prec@5 69.531 (63.174)
Epoch: [6][2080/14090]	Time 0.760 (0.750)	Data 0.001 (0.002)	Loss 2.8333 (2.8301)	Prec@1 30.469 (32.983)	Prec@5 61.719 (63.179)
Epoch: [6][2090/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 2.7921 (2.8301)	Prec@1 28.906 (32.981)	Prec@5 62.500 (63.186)
Epoch: [6][2100/14090]	Time 0.748 (0.750)	Data 0.001 (0.002)	Loss 2.7462 (2.8300)	Prec@1 35.938 (32.980)	Prec@5 66.406 (63.184)
Epoch: [6][2110/14090]	Time 0.755 (0.750)	Data 0.002 (0.002)	Loss 2.6324 (2.8296)	Prec@1 37.500 (32.987)	Prec@5 71.094 (63.190)
Epoch: [6][2120/14090]	Time 0.779 (0.750)	Data 0.001 (0.002)	Loss 2.9157 (2.8297)	Prec@1 32.031 (32.988)	Prec@5 63.281 (63.182)
Epoch: [6][2130/14090]	Time 0.730 (0.750)	Data 0.001 (0.002)	Loss 3.0219 (2.8297)	Prec@1 29.688 (32.987)	Prec@5 60.938 (63.190)
Epoch: [6][2140/14090]	Time 0.758 (0.750)	Data 0.001 (0.002)	Loss 2.3341 (2.8290)	Prec@1 39.844 (32.997)	Prec@5 69.531 (63.198)
Epoch: [6][2150/14090]	Time 0.765 (0.750)	Data 0.001 (0.002)	Loss 2.9383 (2.8290)	Prec@1 32.812 (32.996)	Prec@5 53.125 (63.194)
Epoch: [6][2160/14090]	Time 0.735 (0.750)	Data 0.001 (0.002)	Loss 2.7963 (2.8285)	Prec@1 29.688 (33.006)	Prec@5 62.500 (63.204)
Epoch: [6][2170/14090]	Time 0.733 (0.750)	Data 0.001 (0.002)	Loss 2.9345 (2.8288)	Prec@1 30.469 (32.998)	Prec@5 61.719 (63.197)
Epoch: [6][2180/14090]	Time 0.752 (0.750)	Data 0.002 (0.002)	Loss 2.8888 (2.8290)	Prec@1 31.250 (32.995)	Prec@5 62.500 (63.201)
Epoch: [6][2190/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 2.8256 (2.8287)	Prec@1 37.500 (33.008)	Prec@5 64.062 (63.209)
Epoch: [6][2200/14090]	Time 0.730 (0.750)	Data 0.001 (0.002)	Loss 2.6655 (2.8285)	Prec@1 33.594 (33.008)	Prec@5 64.844 (63.208)
Epoch: [6][2210/14090]	Time 0.778 (0.750)	Data 0.001 (0.002)	Loss 2.9468 (2.8291)	Prec@1 31.250 (33.008)	Prec@5 60.938 (63.191)
Epoch: [6][2220/14090]	Time 0.748 (0.750)	Data 0.001 (0.002)	Loss 3.1551 (2.8291)	Prec@1 25.781 (33.011)	Prec@5 56.250 (63.193)
Epoch: [6][2230/14090]	Time 0.737 (0.750)	Data 0.001 (0.002)	Loss 2.5088 (2.8288)	Prec@1 41.406 (33.013)	Prec@5 67.188 (63.198)
Epoch: [6][2240/14090]	Time 0.734 (0.750)	Data 0.001 (0.002)	Loss 2.7915 (2.8287)	Prec@1 35.156 (33.015)	Prec@5 59.375 (63.197)
Epoch: [6][2250/14090]	Time 0.743 (0.750)	Data 0.002 (0.002)	Loss 2.8969 (2.8286)	Prec@1 35.938 (33.017)	Prec@5 64.844 (63.204)
Epoch: [6][2260/14090]	Time 0.777 (0.750)	Data 0.001 (0.002)	Loss 2.5707 (2.8285)	Prec@1 32.031 (33.017)	Prec@5 67.969 (63.205)
Epoch: [6][2270/14090]	Time 0.730 (0.750)	Data 0.001 (0.002)	Loss 3.0897 (2.8287)	Prec@1 28.906 (33.013)	Prec@5 59.375 (63.204)
Epoch: [6][2280/14090]	Time 0.776 (0.750)	Data 0.001 (0.002)	Loss 2.6478 (2.8285)	Prec@1 35.156 (33.014)	Prec@5 64.844 (63.205)
Epoch: [6][2290/14090]	Time 0.740 (0.750)	Data 0.001 (0.002)	Loss 2.6709 (2.8285)	Prec@1 37.500 (33.018)	Prec@5 71.094 (63.208)
Epoch: [6][2300/14090]	Time 0.747 (0.750)	Data 0.001 (0.002)	Loss 3.1912 (2.8287)	Prec@1 23.438 (33.016)	Prec@5 53.125 (63.200)
Epoch: [6][2310/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 2.8415 (2.8288)	Prec@1 28.125 (33.027)	Prec@5 67.188 (63.196)
Epoch: [6][2320/14090]	Time 0.737 (0.750)	Data 0.002 (0.002)	Loss 3.1487 (2.8293)	Prec@1 26.562 (33.014)	Prec@5 59.375 (63.183)
Epoch: [6][2330/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 2.7018 (2.8294)	Prec@1 36.719 (33.010)	Prec@5 67.188 (63.182)
Epoch: [6][2340/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 3.0717 (2.8294)	Prec@1 30.469 (33.016)	Prec@5 57.812 (63.182)
Epoch: [6][2350/14090]	Time 0.762 (0.750)	Data 0.001 (0.002)	Loss 2.8085 (2.8294)	Prec@1 28.125 (33.009)	Prec@5 64.844 (63.190)
Epoch: [6][2360/14090]	Time 0.756 (0.750)	Data 0.001 (0.002)	Loss 2.9314 (2.8294)	Prec@1 25.781 (33.010)	Prec@5 60.156 (63.182)
Epoch: [6][2370/14090]	Time 0.725 (0.750)	Data 0.001 (0.002)	Loss 2.6494 (2.8292)	Prec@1 38.281 (33.013)	Prec@5 61.719 (63.174)
Epoch: [6][2380/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 3.0052 (2.8291)	Prec@1 32.812 (33.017)	Prec@5 60.156 (63.177)
Epoch: [6][2390/14090]	Time 0.744 (0.750)	Data 0.002 (0.002)	Loss 2.8348 (2.8293)	Prec@1 32.031 (33.014)	Prec@5 60.156 (63.169)
Epoch: [6][2400/14090]	Time 0.733 (0.750)	Data 0.001 (0.002)	Loss 2.9085 (2.8294)	Prec@1 32.031 (33.010)	Prec@5 55.469 (63.162)
Epoch: [6][2410/14090]	Time 0.741 (0.750)	Data 0.001 (0.002)	Loss 2.9235 (2.8293)	Prec@1 30.469 (33.014)	Prec@5 64.062 (63.158)
Epoch: [6][2420/14090]	Time 0.753 (0.750)	Data 0.001 (0.002)	Loss 2.6850 (2.8292)	Prec@1 36.719 (33.013)	Prec@5 63.281 (63.159)
Epoch: [6][2430/14090]	Time 0.759 (0.750)	Data 0.001 (0.002)	Loss 2.8463 (2.8289)	Prec@1 35.156 (33.019)	Prec@5 60.156 (63.163)
Epoch: [6][2440/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 2.7531 (2.8287)	Prec@1 37.500 (33.025)	Prec@5 63.281 (63.164)
Epoch: [6][2450/14090]	Time 0.726 (0.750)	Data 0.001 (0.002)	Loss 2.6117 (2.8291)	Prec@1 34.375 (33.022)	Prec@5 70.312 (63.156)
Epoch: [6][2460/14090]	Time 0.766 (0.750)	Data 0.002 (0.002)	Loss 2.9983 (2.8290)	Prec@1 28.906 (33.026)	Prec@5 54.688 (63.159)
Epoch: [6][2470/14090]	Time 0.774 (0.750)	Data 0.001 (0.002)	Loss 2.8006 (2.8290)	Prec@1 31.250 (33.028)	Prec@5 60.938 (63.159)
Epoch: [6][2480/14090]	Time 0.747 (0.750)	Data 0.001 (0.002)	Loss 2.8488 (2.8288)	Prec@1 32.031 (33.029)	Prec@5 60.156 (63.163)
Epoch: [6][2490/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 3.0602 (2.8292)	Prec@1 25.000 (33.021)	Prec@5 64.844 (63.152)
Epoch: [6][2500/14090]	Time 0.756 (0.750)	Data 0.001 (0.002)	Loss 2.8911 (2.8291)	Prec@1 29.688 (33.022)	Prec@5 60.938 (63.153)
Epoch: [6][2510/14090]	Time 0.731 (0.750)	Data 0.001 (0.002)	Loss 2.8347 (2.8288)	Prec@1 29.688 (33.031)	Prec@5 63.281 (63.162)
Epoch: [6][2520/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 2.7358 (2.8288)	Prec@1 34.375 (33.037)	Prec@5 67.188 (63.162)
Epoch: [6][2530/14090]	Time 0.740 (0.750)	Data 0.002 (0.002)	Loss 2.9288 (2.8286)	Prec@1 35.156 (33.043)	Prec@5 62.500 (63.165)
Epoch: [6][2540/14090]	Time 0.754 (0.750)	Data 0.001 (0.002)	Loss 3.1720 (2.8288)	Prec@1 26.562 (33.034)	Prec@5 61.719 (63.161)
Epoch: [6][2550/14090]	Time 0.741 (0.750)	Data 0.001 (0.002)	Loss 2.7423 (2.8288)	Prec@1 35.938 (33.036)	Prec@5 63.281 (63.163)
Epoch: [6][2560/14090]	Time 0.742 (0.750)	Data 0.001 (0.002)	Loss 2.7328 (2.8287)	Prec@1 39.062 (33.043)	Prec@5 62.500 (63.164)
Epoch: [6][2570/14090]	Time 0.768 (0.750)	Data 0.001 (0.002)	Loss 2.6923 (2.8286)	Prec@1 32.812 (33.042)	Prec@5 65.625 (63.165)
Epoch: [6][2580/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 3.1065 (2.8285)	Prec@1 25.781 (33.042)	Prec@5 57.031 (63.167)
Epoch: [6][2590/14090]	Time 0.737 (0.750)	Data 0.001 (0.002)	Loss 2.6398 (2.8287)	Prec@1 33.594 (33.033)	Prec@5 64.844 (63.162)
Epoch: [6][2600/14090]	Time 0.749 (0.750)	Data 0.002 (0.002)	Loss 3.0150 (2.8289)	Prec@1 26.562 (33.032)	Prec@5 60.156 (63.163)
Epoch: [6][2610/14090]	Time 0.732 (0.750)	Data 0.001 (0.002)	Loss 2.7601 (2.8289)	Prec@1 35.156 (33.026)	Prec@5 62.500 (63.158)
Epoch: [6][2620/14090]	Time 0.742 (0.750)	Data 0.001 (0.002)	Loss 2.8713 (2.8285)	Prec@1 32.812 (33.032)	Prec@5 60.938 (63.166)
Epoch: [6][2630/14090]	Time 0.741 (0.750)	Data 0.001 (0.002)	Loss 3.2399 (2.8288)	Prec@1 25.000 (33.027)	Prec@5 53.125 (63.160)
Epoch: [6][2640/14090]	Time 0.756 (0.750)	Data 0.001 (0.002)	Loss 2.7804 (2.8288)	Prec@1 30.469 (33.025)	Prec@5 62.500 (63.154)
Epoch: [6][2650/14090]	Time 0.731 (0.750)	Data 0.001 (0.002)	Loss 2.7960 (2.8284)	Prec@1 32.812 (33.032)	Prec@5 64.062 (63.167)
Epoch: [6][2660/14090]	Time 0.773 (0.750)	Data 0.001 (0.002)	Loss 2.7473 (2.8283)	Prec@1 34.375 (33.042)	Prec@5 61.719 (63.169)
Epoch: [6][2670/14090]	Time 0.725 (0.750)	Data 0.002 (0.002)	Loss 2.9420 (2.8282)	Prec@1 34.375 (33.045)	Prec@5 55.469 (63.168)
Epoch: [6][2680/14090]	Time 0.743 (0.750)	Data 0.001 (0.002)	Loss 3.0496 (2.8281)	Prec@1 28.906 (33.044)	Prec@5 53.906 (63.171)
Epoch: [6][2690/14090]	Time 0.741 (0.750)	Data 0.001 (0.002)	Loss 2.6797 (2.8282)	Prec@1 35.156 (33.045)	Prec@5 70.312 (63.174)
Epoch: [6][2700/14090]	Time 0.753 (0.750)	Data 0.001 (0.002)	Loss 2.8818 (2.8284)	Prec@1 29.688 (33.038)	Prec@5 63.281 (63.172)
Epoch: [6][2710/14090]	Time 0.738 (0.750)	Data 0.001 (0.002)	Loss 2.9234 (2.8286)	Prec@1 35.938 (33.033)	Prec@5 63.281 (63.173)
Epoch: [6][2720/14090]	Time 0.749 (0.749)	Data 0.001 (0.002)	Loss 3.0498 (2.8287)	Prec@1 30.469 (33.026)	Prec@5 60.938 (63.167)
Epoch: [6][2730/14090]	Time 0.743 (0.749)	Data 0.001 (0.002)	Loss 2.8904 (2.8291)	Prec@1 30.469 (33.019)	Prec@5 57.031 (63.161)
Epoch: [6][2740/14090]	Time 0.764 (0.749)	Data 0.002 (0.002)	Loss 2.7695 (2.8293)	Prec@1 37.500 (33.025)	Prec@5 68.750 (63.156)
Epoch: [6][2750/14090]	Time 0.752 (0.749)	Data 0.001 (0.002)	Loss 2.9567 (2.8293)	Prec@1 27.344 (33.023)	Prec@5 60.938 (63.160)
Epoch: [6][2760/14090]	Time 0.752 (0.749)	Data 0.001 (0.002)	Loss 2.5936 (2.8292)	Prec@1 42.188 (33.020)	Prec@5 70.312 (63.161)
Epoch: [6][2770/14090]	Time 0.726 (0.749)	Data 0.001 (0.002)	Loss 2.9437 (2.8291)	Prec@1 32.812 (33.018)	Prec@5 64.844 (63.165)
Epoch: [6][2780/14090]	Time 0.752 (0.749)	Data 0.001 (0.002)	Loss 2.9508 (2.8291)	Prec@1 30.469 (33.018)	Prec@5 65.625 (63.168)
Epoch: [6][2790/14090]	Time 0.756 (0.749)	Data 0.001 (0.002)	Loss 2.9244 (2.8293)	Prec@1 31.250 (33.015)	Prec@5 60.156 (63.164)
Epoch: [6][2800/14090]	Time 0.747 (0.749)	Data 0.001 (0.002)	Loss 2.8329 (2.8296)	Prec@1 32.031 (33.007)	Prec@5 64.844 (63.155)
Epoch: [6][2810/14090]	Time 0.756 (0.749)	Data 0.002 (0.002)	Loss 2.5770 (2.8295)	Prec@1 39.062 (33.008)	Prec@5 68.750 (63.157)
Epoch: [6][2820/14090]	Time 0.749 (0.749)	Data 0.001 (0.002)	Loss 3.0069 (2.8295)	Prec@1 32.031 (33.010)	Prec@5 59.375 (63.157)
Epoch: [6][2830/14090]	Time 0.745 (0.749)	Data 0.001 (0.002)	Loss 2.6292 (2.8295)	Prec@1 35.938 (33.012)	Prec@5 70.312 (63.157)
Epoch: [6][2840/14090]	Time 0.750 (0.749)	Data 0.001 (0.002)	Loss 2.9040 (2.8296)	Prec@1 34.375 (33.009)	Prec@5 59.375 (63.153)
Epoch: [6][2850/14090]	Time 0.733 (0.749)	Data 0.001 (0.002)	Loss 3.1079 (2.8295)	Prec@1 34.375 (33.017)	Prec@5 57.812 (63.152)
Epoch: [6][2860/14090]	Time 0.760 (0.749)	Data 0.001 (0.002)	Loss 3.1239 (2.8293)	Prec@1 29.688 (33.022)	Prec@5 61.719 (63.158)
Epoch: [6][2870/14090]	Time 0.731 (0.749)	Data 0.001 (0.002)	Loss 2.7391 (2.8294)	Prec@1 32.031 (33.025)	Prec@5 64.062 (63.155)
Epoch: [6][2880/14090]	Time 0.755 (0.749)	Data 0.002 (0.002)	Loss 2.8491 (2.8295)	Prec@1 28.906 (33.023)	Prec@5 58.594 (63.152)
Epoch: [6][2890/14090]	Time 0.752 (0.749)	Data 0.001 (0.002)	Loss 2.9757 (2.8298)	Prec@1 28.125 (33.018)	Prec@5 60.938 (63.149)
Epoch: [6][2900/14090]	Time 0.755 (0.749)	Data 0.001 (0.002)	Loss 2.7235 (2.8300)	Prec@1 32.812 (33.012)	Prec@5 66.406 (63.145)
Epoch: [6][2910/14090]	Time 0.747 (0.749)	Data 0.001 (0.002)	Loss 2.7222 (2.8301)	Prec@1 31.250 (33.010)	Prec@5 62.500 (63.140)
Epoch: [6][2920/14090]	Time 0.726 (0.749)	Data 0.001 (0.002)	Loss 2.8211 (2.8298)	Prec@1 29.688 (33.017)	Prec@5 60.156 (63.145)
Epoch: [6][2930/14090]	Time 0.721 (0.749)	Data 0.001 (0.002)	Loss 2.4922 (2.8297)	Prec@1 41.406 (33.011)	Prec@5 67.969 (63.145)
Epoch: [6][2940/14090]	Time 0.717 (0.749)	Data 0.001 (0.002)	Loss 3.0259 (2.8296)	Prec@1 26.562 (33.009)	Prec@5 57.812 (63.147)
Epoch: [6][2950/14090]	Time 0.735 (0.749)	Data 0.002 (0.002)	Loss 2.6148 (2.8294)	Prec@1 35.938 (33.009)	Prec@5 66.406 (63.149)
Epoch: [6][2960/14090]	Time 0.761 (0.749)	Data 0.001 (0.002)	Loss 3.1001 (2.8296)	Prec@1 25.000 (33.006)	Prec@5 57.812 (63.140)
Epoch: [6][2970/14090]	Time 0.763 (0.749)	Data 0.001 (0.002)	Loss 2.4789 (2.8297)	Prec@1 45.312 (33.006)	Prec@5 71.094 (63.137)
Epoch: [6][2980/14090]	Time 0.737 (0.749)	Data 0.001 (0.002)	Loss 2.4531 (2.8299)	Prec@1 42.188 (33.002)	Prec@5 73.438 (63.134)
Epoch: [6][2990/14090]	Time 0.751 (0.749)	Data 0.001 (0.002)	Loss 2.6376 (2.8294)	Prec@1 36.719 (33.006)	Prec@5 68.750 (63.145)
Epoch: [6][3000/14090]	Time 0.753 (0.749)	Data 0.001 (0.002)	Loss 2.8198 (2.8295)	Prec@1 35.938 (33.001)	Prec@5 64.844 (63.140)
Epoch: [6][3010/14090]	Time 0.739 (0.749)	Data 0.001 (0.002)	Loss 2.6815 (2.8294)	Prec@1 34.375 (33.002)	Prec@5 61.719 (63.140)
Epoch: [6][3020/14090]	Time 0.759 (0.749)	Data 0.002 (0.002)	Loss 3.1347 (2.8296)	Prec@1 27.344 (33.000)	Prec@5 57.812 (63.142)
Epoch: [6][3030/14090]	Time 0.757 (0.749)	Data 0.001 (0.002)	Loss 3.0468 (2.8298)	Prec@1 38.281 (33.003)	Prec@5 57.031 (63.137)
Epoch: [6][3040/14090]	Time 0.778 (0.749)	Data 0.001 (0.002)	Loss 2.6568 (2.8298)	Prec@1 35.938 (33.001)	Prec@5 64.844 (63.136)
Epoch: [6][3050/14090]	Time 0.760 (0.749)	Data 0.001 (0.002)	Loss 3.0242 (2.8298)	Prec@1 32.812 (33.001)	Prec@5 57.812 (63.134)
Epoch: [6][3060/14090]	Time 0.733 (0.749)	Data 0.001 (0.002)	Loss 3.1704 (2.8302)	Prec@1 27.344 (32.997)	Prec@5 57.812 (63.122)
Epoch: [6][3070/14090]	Time 0.740 (0.749)	Data 0.001 (0.002)	Loss 2.7249 (2.8300)	Prec@1 32.812 (33.000)	Prec@5 61.719 (63.123)
Epoch: [6][3080/14090]	Time 0.752 (0.749)	Data 0.001 (0.002)	Loss 2.7037 (2.8300)	Prec@1 36.719 (33.008)	Prec@5 65.625 (63.126)
Epoch: [6][3090/14090]	Time 0.758 (0.749)	Data 0.002 (0.002)	Loss 2.6908 (2.8300)	Prec@1 36.719 (33.010)	Prec@5 64.062 (63.126)
Epoch: [6][3100/14090]	Time 0.754 (0.749)	Data 0.001 (0.002)	Loss 2.8074 (2.8299)	Prec@1 32.812 (33.016)	Prec@5 61.719 (63.128)
Epoch: [6][3110/14090]	Time 0.742 (0.749)	Data 0.001 (0.002)	Loss 2.7526 (2.8301)	Prec@1 36.719 (33.013)	Prec@5 64.844 (63.126)
Epoch: [6][3120/14090]	Time 0.741 (0.749)	Data 0.001 (0.002)	Loss 2.6916 (2.8301)	Prec@1 35.156 (33.016)	Prec@5 67.969 (63.129)
Epoch: [6][3130/14090]	Time 0.743 (0.749)	Data 0.001 (0.002)	Loss 3.1329 (2.8300)	Prec@1 31.250 (33.019)	Prec@5 56.250 (63.132)
Epoch: [6][3140/14090]	Time 0.747 (0.749)	Data 0.001 (0.002)	Loss 2.6518 (2.8300)	Prec@1 36.719 (33.016)	Prec@5 72.656 (63.134)
Epoch: [6][3150/14090]	Time 0.746 (0.749)	Data 0.001 (0.002)	Loss 2.9475 (2.8299)	Prec@1 30.469 (33.016)	Prec@5 58.594 (63.134)
Epoch: [6][3160/14090]	Time 0.754 (0.749)	Data 0.002 (0.002)	Loss 2.8542 (2.8297)	Prec@1 34.375 (33.022)	Prec@5 66.406 (63.138)
Epoch: [6][3170/14090]	Time 0.760 (0.749)	Data 0.001 (0.002)	Loss 2.8233 (2.8293)	Prec@1 33.594 (33.031)	Prec@5 67.188 (63.146)
Epoch: [6][3180/14090]	Time 0.727 (0.749)	Data 0.001 (0.002)	Loss 3.3646 (2.8295)	Prec@1 27.344 (33.022)	Prec@5 50.781 (63.147)
Epoch: [6][3190/14090]	Time 0.745 (0.749)	Data 0.001 (0.002)	Loss 2.7117 (2.8293)	Prec@1 32.812 (33.027)	Prec@5 63.281 (63.152)
Epoch: [6][3200/14090]	Time 0.739 (0.749)	Data 0.001 (0.002)	Loss 2.8072 (2.8292)	Prec@1 32.031 (33.028)	Prec@5 62.500 (63.155)
Epoch: [6][3210/14090]	Time 0.726 (0.749)	Data 0.001 (0.002)	Loss 2.7265 (2.8294)	Prec@1 32.031 (33.025)	Prec@5 67.969 (63.153)
Epoch: [6][3220/14090]	Time 0.768 (0.749)	Data 0.001 (0.002)	Loss 2.4577 (2.8294)	Prec@1 39.062 (33.023)	Prec@5 71.875 (63.148)
Epoch: [6][3230/14090]	Time 0.727 (0.749)	Data 0.002 (0.002)	Loss 2.5620 (2.8293)	Prec@1 32.812 (33.024)	Prec@5 71.094 (63.151)
Epoch: [6][3240/14090]	Time 0.741 (0.749)	Data 0.001 (0.002)	Loss 2.9797 (2.8293)	Prec@1 32.812 (33.022)	Prec@5 64.844 (63.151)
Epoch: [6][3250/14090]	Time 0.737 (0.749)	Data 0.001 (0.002)	Loss 3.0033 (2.8295)	Prec@1 32.812 (33.027)	Prec@5 57.031 (63.144)
Epoch: [6][3260/14090]	Time 0.726 (0.749)	Data 0.001 (0.002)	Loss 2.6315 (2.8295)	Prec@1 35.938 (33.027)	Prec@5 64.062 (63.142)
Epoch: [6][3270/14090]	Time 0.725 (0.749)	Data 0.001 (0.002)	Loss 2.7665 (2.8295)	Prec@1 37.500 (33.031)	Prec@5 62.500 (63.143)
Epoch: [6][3280/14090]	Time 0.724 (0.749)	Data 0.001 (0.002)	Loss 3.2549 (2.8297)	Prec@1 25.000 (33.023)	Prec@5 55.469 (63.142)
Epoch: [6][3290/14090]	Time 0.743 (0.749)	Data 0.001 (0.002)	Loss 2.8795 (2.8297)	Prec@1 33.594 (33.022)	Prec@5 61.719 (63.138)
Epoch: [6][3300/14090]	Time 0.775 (0.749)	Data 0.001 (0.002)	Loss 2.6661 (2.8296)	Prec@1 35.156 (33.020)	Prec@5 67.969 (63.139)
Epoch: [6][3310/14090]	Time 0.731 (0.749)	Data 0.001 (0.002)	Loss 3.3104 (2.8299)	Prec@1 28.906 (33.017)	Prec@5 51.562 (63.133)
Epoch: [6][3320/14090]	Time 0.754 (0.749)	Data 0.001 (0.002)	Loss 2.9203 (2.8301)	Prec@1 30.469 (33.016)	Prec@5 61.719 (63.136)
Epoch: [6][3330/14090]	Time 0.752 (0.749)	Data 0.001 (0.002)	Loss 2.7814 (2.8302)	Prec@1 30.469 (33.010)	Prec@5 63.281 (63.130)
Epoch: [6][3340/14090]	Time 0.743 (0.749)	Data 0.001 (0.002)	Loss 2.8991 (2.8302)	Prec@1 39.062 (33.017)	Prec@5 60.156 (63.129)
Epoch: [6][3350/14090]	Time 0.764 (0.749)	Data 0.001 (0.002)	Loss 2.9095 (2.8304)	Prec@1 31.250 (33.008)	Prec@5 64.062 (63.127)
Epoch: [6][3360/14090]	Time 0.756 (0.749)	Data 0.001 (0.002)	Loss 2.6558 (2.8305)	Prec@1 33.594 (33.005)	Prec@5 66.406 (63.126)
Epoch: [6][3370/14090]	Time 0.726 (0.749)	Data 0.002 (0.002)	Loss 2.8639 (2.8303)	Prec@1 25.781 (33.007)	Prec@5 60.938 (63.130)
Epoch: [6][3380/14090]	Time 0.774 (0.749)	Data 0.001 (0.002)	Loss 2.8534 (2.8303)	Prec@1 35.156 (33.003)	Prec@5 57.031 (63.128)
Epoch: [6][3390/14090]	Time 0.722 (0.749)	Data 0.001 (0.002)	Loss 2.9774 (2.8304)	Prec@1 35.938 (33.004)	Prec@5 59.375 (63.124)
Epoch: [6][3400/14090]	Time 0.755 (0.749)	Data 0.001 (0.002)	Loss 3.1551 (2.8305)	Prec@1 30.469 (33.007)	Prec@5 55.469 (63.121)
Epoch: [6][3410/14090]	Time 0.745 (0.749)	Data 0.001 (0.002)	Loss 2.8504 (2.8303)	Prec@1 30.469 (33.012)	Prec@5 62.500 (63.130)
Epoch: [6][3420/14090]	Time 0.740 (0.749)	Data 0.001 (0.002)	Loss 2.9011 (2.8303)	Prec@1 30.469 (33.012)	Prec@5 60.156 (63.131)
Epoch: [6][3430/14090]	Time 0.778 (0.749)	Data 0.001 (0.002)	Loss 2.7982 (2.8303)	Prec@1 28.906 (33.008)	Prec@5 64.062 (63.130)
Epoch: [6][3440/14090]	Time 0.763 (0.749)	Data 0.002 (0.002)	Loss 2.4535 (2.8303)	Prec@1 42.188 (33.007)	Prec@5 65.625 (63.129)
Epoch: [6][3450/14090]	Time 0.742 (0.749)	Data 0.001 (0.002)	Loss 3.1159 (2.8305)	Prec@1 32.031 (33.008)	Prec@5 51.562 (63.117)
Epoch: [6][3460/14090]	Time 0.749 (0.749)	Data 0.001 (0.002)	Loss 2.7622 (2.8303)	Prec@1 36.719 (33.016)	Prec@5 60.938 (63.120)
Epoch: [6][3470/14090]	Time 0.723 (0.749)	Data 0.001 (0.002)	Loss 2.6108 (2.8303)	Prec@1 35.938 (33.013)	Prec@5 66.406 (63.119)
Epoch: [6][3480/14090]	Time 0.747 (0.749)	Data 0.001 (0.002)	Loss 2.7492 (2.8301)	Prec@1 32.031 (33.015)	Prec@5 67.969 (63.127)
Epoch: [6][3490/14090]	Time 0.780 (0.749)	Data 0.001 (0.002)	Loss 2.8270 (2.8303)	Prec@1 29.688 (33.011)	Prec@5 67.188 (63.128)
Epoch: [6][3500/14090]	Time 0.760 (0.749)	Data 0.001 (0.002)	Loss 2.7038 (2.8301)	Prec@1 33.594 (33.011)	Prec@5 67.188 (63.135)
Epoch: [6][3510/14090]	Time 0.745 (0.749)	Data 0.003 (0.002)	Loss 2.7146 (2.8301)	Prec@1 35.938 (33.013)	Prec@5 64.062 (63.140)
Epoch: [6][3520/14090]	Time 0.760 (0.749)	Data 0.001 (0.002)	Loss 2.7624 (2.8301)	Prec@1 30.469 (33.010)	Prec@5 62.500 (63.139)
Epoch: [6][3530/14090]	Time 0.758 (0.749)	Data 0.001 (0.002)	Loss 2.8065 (2.8303)	Prec@1 33.594 (33.011)	Prec@5 67.969 (63.143)
Epoch: [6][3540/14090]	Time 0.760 (0.749)	Data 0.001 (0.002)	Loss 2.9019 (2.8303)	Prec@1 28.906 (33.008)	Prec@5 60.156 (63.146)
Epoch: [6][3550/14090]	Time 0.750 (0.749)	Data 0.001 (0.002)	Loss 2.8531 (2.8303)	Prec@1 39.844 (33.007)	Prec@5 64.844 (63.146)
Epoch: [6][3560/14090]	Time 0.763 (0.749)	Data 0.001 (0.002)	Loss 2.9277 (2.8304)	Prec@1 39.062 (33.010)	Prec@5 64.844 (63.149)
Epoch: [6][3570/14090]	Time 0.729 (0.749)	Data 0.001 (0.002)	Loss 2.8857 (2.8303)	Prec@1 36.719 (33.011)	Prec@5 57.812 (63.149)
Epoch: [6][3580/14090]	Time 0.744 (0.749)	Data 0.002 (0.002)	Loss 2.8869 (2.8302)	Prec@1 30.469 (33.013)	Prec@5 57.031 (63.149)
Epoch: [6][3590/14090]	Time 0.770 (0.749)	Data 0.001 (0.002)	Loss 2.9204 (2.8302)	Prec@1 33.594 (33.013)	Prec@5 64.844 (63.151)
Epoch: [6][3600/14090]	Time 0.737 (0.749)	Data 0.001 (0.002)	Loss 2.8167 (2.8302)	Prec@1 29.688 (33.013)	Prec@5 66.406 (63.151)
Epoch: [6][3610/14090]	Time 0.754 (0.749)	Data 0.001 (0.002)	Loss 2.8487 (2.8300)	Prec@1 30.469 (33.017)	Prec@5 62.500 (63.153)
Epoch: [6][3620/14090]	Time 0.743 (0.749)	Data 0.001 (0.002)	Loss 2.7247 (2.8301)	Prec@1 35.156 (33.017)	Prec@5 61.719 (63.147)
Epoch: [6][3630/14090]	Time 0.733 (0.749)	Data 0.001 (0.002)	Loss 2.9434 (2.8298)	Prec@1 32.031 (33.024)	Prec@5 59.375 (63.151)
Epoch: [6][3640/14090]	Time 0.741 (0.749)	Data 0.001 (0.002)	Loss 2.6861 (2.8299)	Prec@1 35.938 (33.020)	Prec@5 64.844 (63.152)
Epoch: [6][3650/14090]	Time 0.757 (0.749)	Data 0.002 (0.002)	Loss 2.8466 (2.8298)	Prec@1 33.594 (33.019)	Prec@5 60.938 (63.153)
Epoch: [6][3660/14090]	Time 0.737 (0.749)	Data 0.001 (0.002)	Loss 2.7797 (2.8297)	Prec@1 32.031 (33.022)	Prec@5 60.938 (63.155)
Epoch: [6][3670/14090]	Time 0.748 (0.749)	Data 0.001 (0.002)	Loss 2.9763 (2.8297)	Prec@1 29.688 (33.021)	Prec@5 62.500 (63.155)
Epoch: [6][3680/14090]	Time 0.776 (0.749)	Data 0.001 (0.002)	Loss 2.6203 (2.8295)	Prec@1 34.375 (33.023)	Prec@5 67.969 (63.164)
Epoch: [6][3690/14090]	Time 0.739 (0.749)	Data 0.001 (0.002)	Loss 2.7892 (2.8295)	Prec@1 31.250 (33.023)	Prec@5 61.719 (63.161)
Epoch: [6][3700/14090]	Time 0.730 (0.749)	Data 0.001 (0.002)	Loss 2.9068 (2.8296)	Prec@1 25.781 (33.016)	Prec@5 64.844 (63.160)
Epoch: [6][3710/14090]	Time 0.742 (0.749)	Data 0.001 (0.002)	Loss 2.8204 (2.8297)	Prec@1 32.812 (33.018)	Prec@5 62.500 (63.157)
Epoch: [6][3720/14090]	Time 0.726 (0.749)	Data 0.002 (0.002)	Loss 3.1127 (2.8297)	Prec@1 28.906 (33.019)	Prec@5 58.594 (63.160)
Epoch: [6][3730/14090]	Time 0.771 (0.749)	Data 0.001 (0.002)	Loss 2.7443 (2.8298)	Prec@1 32.031 (33.019)	Prec@5 68.750 (63.161)
Epoch: [6][3740/14090]	Time 0.737 (0.749)	Data 0.001 (0.002)	Loss 2.6032 (2.8298)	Prec@1 36.719 (33.018)	Prec@5 68.750 (63.161)
Epoch: [6][3750/14090]	Time 0.742 (0.749)	Data 0.001 (0.002)	Loss 2.6662 (2.8296)	Prec@1 35.156 (33.022)	Prec@5 65.625 (63.167)
Epoch: [6][3760/14090]	Time 0.735 (0.749)	Data 0.001 (0.002)	Loss 3.0913 (2.8296)	Prec@1 32.031 (33.026)	Prec@5 57.031 (63.169)
Epoch: [6][3770/14090]	Time 0.746 (0.749)	Data 0.001 (0.002)	Loss 2.7703 (2.8295)	Prec@1 33.594 (33.028)	Prec@5 66.406 (63.173)
Epoch: [6][3780/14090]	Time 0.737 (0.749)	Data 0.001 (0.002)	Loss 3.0147 (2.8295)	Prec@1 27.344 (33.024)	Prec@5 65.625 (63.174)
Epoch: [6][3790/14090]	Time 0.761 (0.749)	Data 0.002 (0.002)	Loss 3.1077 (2.8296)	Prec@1 28.906 (33.022)	Prec@5 56.250 (63.170)
Epoch: [6][3800/14090]	Time 0.733 (0.749)	Data 0.001 (0.002)	Loss 2.6832 (2.8297)	Prec@1 37.500 (33.018)	Prec@5 63.281 (63.165)
Epoch: [6][3810/14090]	Time 0.774 (0.749)	Data 0.001 (0.002)	Loss 2.8155 (2.8297)	Prec@1 30.469 (33.019)	Prec@5 62.500 (63.161)
Epoch: [6][3820/14090]	Time 0.723 (0.749)	Data 0.001 (0.002)	Loss 2.5334 (2.8296)	Prec@1 32.812 (33.024)	Prec@5 69.531 (63.166)
Epoch: [6][3830/14090]	Time 0.742 (0.749)	Data 0.001 (0.002)	Loss 2.8828 (2.8295)	Prec@1 35.156 (33.031)	Prec@5 60.938 (63.169)
Epoch: [6][3840/14090]	Time 0.733 (0.749)	Data 0.001 (0.002)	Loss 2.7968 (2.8295)	Prec@1 28.125 (33.027)	Prec@5 70.312 (63.170)
Epoch: [6][3850/14090]	Time 0.776 (0.749)	Data 0.001 (0.002)	Loss 2.6756 (2.8297)	Prec@1 39.844 (33.027)	Prec@5 66.406 (63.170)
Epoch: [6][3860/14090]	Time 0.723 (0.749)	Data 0.002 (0.002)	Loss 2.7881 (2.8297)	Prec@1 35.156 (33.027)	Prec@5 60.156 (63.168)
Epoch: [6][3870/14090]	Time 0.730 (0.749)	Data 0.001 (0.002)	Loss 2.7338 (2.8297)	Prec@1 32.812 (33.027)	Prec@5 68.750 (63.166)
Epoch: [6][3880/14090]	Time 0.724 (0.749)	Data 0.001 (0.002)	Loss 2.9393 (2.8300)	Prec@1 30.469 (33.022)	Prec@5 59.375 (63.164)
Epoch: [6][3890/14090]	Time 0.770 (0.749)	Data 0.001 (0.002)	Loss 2.6729 (2.8298)	Prec@1 34.375 (33.026)	Prec@5 67.188 (63.168)
Epoch: [6][3900/14090]	Time 0.732 (0.749)	Data 0.001 (0.002)	Loss 2.6352 (2.8298)	Prec@1 34.375 (33.027)	Prec@5 67.188 (63.164)
Epoch: [6][3910/14090]	Time 0.773 (0.749)	Data 0.001 (0.002)	Loss 2.9446 (2.8299)	Prec@1 36.719 (33.028)	Prec@5 60.938 (63.162)
Epoch: [6][3920/14090]	Time 0.758 (0.749)	Data 0.001 (0.002)	Loss 2.9467 (2.8301)	Prec@1 31.250 (33.024)	Prec@5 58.594 (63.157)
Epoch: [6][3930/14090]	Time 0.770 (0.749)	Data 0.002 (0.002)	Loss 2.6228 (2.8301)	Prec@1 37.500 (33.022)	Prec@5 71.094 (63.160)
Epoch: [6][3940/14090]	Time 0.761 (0.749)	Data 0.001 (0.002)	Loss 2.9849 (2.8300)	Prec@1 25.781 (33.020)	Prec@5 57.031 (63.161)
Epoch: [6][3950/14090]	Time 0.733 (0.749)	Data 0.001 (0.002)	Loss 2.9487 (2.8301)	Prec@1 34.375 (33.020)	Prec@5 60.156 (63.158)
Epoch: [6][3960/14090]	Time 0.761 (0.749)	Data 0.001 (0.002)	Loss 2.6254 (2.8301)	Prec@1 37.500 (33.017)	Prec@5 72.656 (63.160)
Epoch: [6][3970/14090]	Time 0.755 (0.749)	Data 0.001 (0.002)	Loss 2.7106 (2.8299)	Prec@1 37.500 (33.022)	Prec@5 65.625 (63.164)
Epoch: [6][3980/14090]	Time 0.768 (0.749)	Data 0.001 (0.002)	Loss 3.2700 (2.8297)	Prec@1 28.906 (33.030)	Prec@5 50.781 (63.169)
Epoch: [6][3990/14090]	Time 0.737 (0.749)	Data 0.001 (0.002)	Loss 2.8360 (2.8296)	Prec@1 34.375 (33.030)	Prec@5 62.500 (63.168)
Epoch: [6][4000/14090]	Time 0.756 (0.749)	Data 0.002 (0.002)	Loss 2.8465 (2.8294)	Prec@1 28.125 (33.033)	Prec@5 61.719 (63.170)
Epoch: [6][4010/14090]	Time 0.727 (0.749)	Data 0.001 (0.002)	Loss 2.8384 (2.8295)	Prec@1 32.031 (33.032)	Prec@5 66.406 (63.170)
Epoch: [6][4020/14090]	Time 0.738 (0.749)	Data 0.001 (0.002)	Loss 2.7853 (2.8295)	Prec@1 39.844 (33.034)	Prec@5 62.500 (63.171)
Epoch: [6][4030/14090]	Time 0.748 (0.749)	Data 0.001 (0.002)	Loss 2.6216 (2.8295)	Prec@1 37.500 (33.035)	Prec@5 68.750 (63.175)
Epoch: [6][4040/14090]	Time 0.738 (0.749)	Data 0.001 (0.002)	Loss 2.9075 (2.8294)	Prec@1 28.125 (33.034)	Prec@5 63.281 (63.173)
Epoch: [6][4050/14090]	Time 0.778 (0.749)	Data 0.001 (0.002)	Loss 2.8784 (2.8294)	Prec@1 30.469 (33.032)	Prec@5 61.719 (63.172)
Epoch: [6][4060/14090]	Time 0.756 (0.749)	Data 0.001 (0.002)	Loss 2.6918 (2.8294)	Prec@1 41.406 (33.033)	Prec@5 64.844 (63.172)
Epoch: [6][4070/14090]	Time 0.751 (0.749)	Data 0.002 (0.002)	Loss 2.6409 (2.8293)	Prec@1 39.844 (33.036)	Prec@5 62.500 (63.173)
Epoch: [6][4080/14090]	Time 0.740 (0.749)	Data 0.001 (0.002)	Loss 2.7576 (2.8293)	Prec@1 29.688 (33.031)	Prec@5 67.969 (63.173)
Epoch: [6][4090/14090]	Time 0.734 (0.749)	Data 0.001 (0.002)	Loss 2.7595 (2.8292)	Prec@1 32.812 (33.033)	Prec@5 65.625 (63.176)
Epoch: [6][4100/14090]	Time 0.764 (0.749)	Data 0.001 (0.002)	Loss 2.7591 (2.8293)	Prec@1 39.844 (33.032)	Prec@5 59.375 (63.173)
Epoch: [6][4110/14090]	Time 0.740 (0.749)	Data 0.001 (0.002)	Loss 2.5434 (2.8293)	Prec@1 35.938 (33.031)	Prec@5 73.438 (63.176)
Epoch: [6][4120/14090]	Time 0.754 (0.749)	Data 0.001 (0.002)	Loss 2.8438 (2.8295)	Prec@1 30.469 (33.030)	Prec@5 60.156 (63.173)
Epoch: [6][4130/14090]	Time 0.737 (0.749)	Data 0.001 (0.002)	Loss 2.8553 (2.8295)	Prec@1 32.812 (33.029)	Prec@5 61.719 (63.173)
Epoch: [6][4140/14090]	Time 0.758 (0.749)	Data 0.002 (0.002)	Loss 2.9847 (2.8297)	Prec@1 32.031 (33.025)	Prec@5 60.156 (63.170)
Epoch: [6][4150/14090]	Time 0.779 (0.749)	Data 0.001 (0.002)	Loss 2.8772 (2.8297)	Prec@1 39.062 (33.028)	Prec@5 63.281 (63.168)
Epoch: [6][4160/14090]	Time 0.764 (0.749)	Data 0.001 (0.002)	Loss 2.7068 (2.8297)	Prec@1 31.250 (33.029)	Prec@5 64.062 (63.167)
Epoch: [6][4170/14090]	Time 0.727 (0.749)	Data 0.001 (0.002)	Loss 2.8372 (2.8297)	Prec@1 32.812 (33.029)	Prec@5 64.062 (63.164)
Epoch: [6][4180/14090]	Time 0.740 (0.749)	Data 0.001 (0.002)	Loss 3.2753 (2.8298)	Prec@1 28.906 (33.029)	Prec@5 58.594 (63.158)
Epoch: [6][4190/14090]	Time 0.779 (0.749)	Data 0.001 (0.002)	Loss 2.9411 (2.8297)	Prec@1 28.125 (33.032)	Prec@5 62.500 (63.159)
Epoch: [6][4200/14090]	Time 0.756 (0.749)	Data 0.001 (0.002)	Loss 3.0285 (2.8297)	Prec@1 28.906 (33.029)	Prec@5 60.938 (63.161)
Epoch: [6][4210/14090]	Time 0.730 (0.749)	Data 0.002 (0.002)	Loss 2.8563 (2.8297)	Prec@1 32.812 (33.031)	Prec@5 58.594 (63.162)
Epoch: [6][4220/14090]	Time 0.745 (0.749)	Data 0.001 (0.002)	Loss 2.7506 (2.8296)	Prec@1 30.469 (33.029)	Prec@5 68.750 (63.167)
Epoch: [6][4230/14090]	Time 0.752 (0.749)	Data 0.001 (0.002)	Loss 2.9579 (2.8296)	Prec@1 28.906 (33.032)	Prec@5 64.062 (63.168)
Epoch: [6][4240/14090]	Time 0.753 (0.749)	Data 0.001 (0.002)	Loss 2.6814 (2.8299)	Prec@1 38.281 (33.029)	Prec@5 68.750 (63.161)
Epoch: [6][4250/14090]	Time 0.755 (0.749)	Data 0.001 (0.002)	Loss 2.6800 (2.8299)	Prec@1 32.812 (33.030)	Prec@5 67.188 (63.162)
Epoch: [6][4260/14090]	Time 0.742 (0.749)	Data 0.001 (0.002)	Loss 2.7217 (2.8299)	Prec@1 28.125 (33.027)	Prec@5 63.281 (63.161)
Epoch: [6][4270/14090]	Time 0.739 (0.749)	Data 0.001 (0.002)	Loss 2.7006 (2.8299)	Prec@1 32.812 (33.025)	Prec@5 64.844 (63.161)
Epoch: [6][4280/14090]	Time 0.778 (0.749)	Data 0.002 (0.002)	Loss 2.6275 (2.8299)	Prec@1 32.031 (33.022)	Prec@5 65.625 (63.159)
Epoch: [6][4290/14090]	Time 0.739 (0.749)	Data 0.001 (0.002)	Loss 2.5754 (2.8300)	Prec@1 37.500 (33.022)	Prec@5 65.625 (63.159)
Epoch: [6][4300/14090]	Time 0.764 (0.749)	Data 0.001 (0.002)	Loss 2.8457 (2.8298)	Prec@1 28.906 (33.020)	Prec@5 63.281 (63.165)
Epoch: [6][4310/14090]	Time 0.751 (0.749)	Data 0.001 (0.002)	Loss 2.9262 (2.8299)	Prec@1 29.688 (33.016)	Prec@5 63.281 (63.165)
Epoch: [6][4320/14090]	Time 0.762 (0.749)	Data 0.001 (0.002)	Loss 2.9056 (2.8301)	Prec@1 28.906 (33.011)	Prec@5 60.156 (63.161)
Epoch: [6][4330/14090]	Time 0.775 (0.749)	Data 0.001 (0.002)	Loss 2.9769 (2.8302)	Prec@1 26.562 (33.010)	Prec@5 60.938 (63.161)
Epoch: [6][4340/14090]	Time 0.739 (0.749)	Data 0.001 (0.002)	Loss 2.5931 (2.8303)	Prec@1 36.719 (33.013)	Prec@5 65.625 (63.162)
Epoch: [6][4350/14090]	Time 0.778 (0.749)	Data 0.002 (0.002)	Loss 2.8528 (2.8305)	Prec@1 36.719 (33.011)	Prec@5 64.062 (63.158)
Epoch: [6][4360/14090]	Time 0.736 (0.749)	Data 0.001 (0.002)	Loss 2.9479 (2.8304)	Prec@1 35.156 (33.014)	Prec@5 60.156 (63.163)
Epoch: [6][4370/14090]	Time 0.727 (0.749)	Data 0.001 (0.002)	Loss 2.8412 (2.8303)	Prec@1 30.469 (33.016)	Prec@5 62.500 (63.165)
Epoch: [6][4380/14090]	Time 0.747 (0.749)	Data 0.001 (0.002)	Loss 2.7198 (2.8303)	Prec@1 35.156 (33.017)	Prec@5 60.938 (63.167)
Epoch: [6][4390/14090]	Time 0.742 (0.749)	Data 0.001 (0.002)	Loss 2.6775 (2.8304)	Prec@1 39.062 (33.020)	Prec@5 63.281 (63.165)
Epoch: [6][4400/14090]	Time 0.762 (0.749)	Data 0.001 (0.002)	Loss 2.8785 (2.8302)	Prec@1 37.500 (33.024)	Prec@5 64.844 (63.169)
Epoch: [6][4410/14090]	Time 0.723 (0.749)	Data 0.001 (0.002)	Loss 2.8780 (2.8304)	Prec@1 35.938 (33.024)	Prec@5 60.938 (63.165)
Epoch: [6][4420/14090]	Time 0.773 (0.749)	Data 0.002 (0.002)	Loss 2.9272 (2.8306)	Prec@1 29.688 (33.022)	Prec@5 60.938 (63.160)
Epoch: [6][4430/14090]	Time 0.757 (0.749)	Data 0.001 (0.002)	Loss 2.7970 (2.8306)	Prec@1 32.812 (33.025)	Prec@5 64.062 (63.160)
Epoch: [6][4440/14090]	Time 0.752 (0.749)	Data 0.001 (0.002)	Loss 2.8483 (2.8304)	Prec@1 32.031 (33.029)	Prec@5 62.500 (63.164)
Epoch: [6][4450/14090]	Time 0.759 (0.749)	Data 0.001 (0.002)	Loss 2.5640 (2.8302)	Prec@1 40.625 (33.030)	Prec@5 72.656 (63.170)
Epoch: [6][4460/14090]	Time 0.744 (0.749)	Data 0.001 (0.002)	Loss 2.9620 (2.8301)	Prec@1 25.000 (33.027)	Prec@5 60.938 (63.171)
Epoch: [6][4470/14090]	Time 0.752 (0.749)	Data 0.001 (0.002)	Loss 3.0208 (2.8302)	Prec@1 32.031 (33.022)	Prec@5 58.594 (63.171)
Epoch: [6][4480/14090]	Time 0.750 (0.749)	Data 0.001 (0.002)	Loss 3.0318 (2.8301)	Prec@1 21.875 (33.023)	Prec@5 56.250 (63.173)
Epoch: [6][4490/14090]	Time 0.751 (0.749)	Data 0.002 (0.002)	Loss 2.9305 (2.8301)	Prec@1 28.906 (33.024)	Prec@5 60.156 (63.173)
Epoch: [6][4500/14090]	Time 0.757 (0.749)	Data 0.001 (0.002)	Loss 2.8026 (2.8300)	Prec@1 34.375 (33.025)	Prec@5 58.594 (63.175)
Epoch: [6][4510/14090]	Time 0.728 (0.749)	Data 0.001 (0.002)	Loss 2.7680 (2.8300)	Prec@1 35.156 (33.025)	Prec@5 61.719 (63.174)
Epoch: [6][4520/14090]	Time 0.776 (0.749)	Data 0.001 (0.002)	Loss 2.7178 (2.8300)	Prec@1 32.812 (33.026)	Prec@5 68.750 (63.176)
Epoch: [6][4530/14090]	Time 0.760 (0.749)	Data 0.001 (0.002)	Loss 2.8706 (2.8302)	Prec@1 32.812 (33.021)	Prec@5 60.156 (63.172)
Epoch: [6][4540/14090]	Time 0.759 (0.749)	Data 0.001 (0.002)	Loss 2.8779 (2.8302)	Prec@1 30.469 (33.021)	Prec@5 62.500 (63.170)
Epoch: [6][4550/14090]	Time 0.745 (0.749)	Data 0.001 (0.002)	Loss 2.8771 (2.8302)	Prec@1 35.156 (33.019)	Prec@5 64.844 (63.172)
Epoch: [6][4560/14090]	Time 0.730 (0.749)	Data 0.002 (0.002)	Loss 3.0302 (2.8301)	Prec@1 28.906 (33.020)	Prec@5 58.594 (63.176)
Epoch: [6][4570/14090]	Time 0.737 (0.749)	Data 0.001 (0.002)	Loss 2.9112 (2.8301)	Prec@1 32.031 (33.023)	Prec@5 64.844 (63.175)
Epoch: [6][4580/14090]	Time 0.770 (0.749)	Data 0.001 (0.002)	Loss 2.7564 (2.8302)	Prec@1 33.594 (33.020)	Prec@5 61.719 (63.173)
Epoch: [6][4590/14090]	Time 0.727 (0.749)	Data 0.001 (0.002)	Loss 3.0550 (2.8304)	Prec@1 31.250 (33.019)	Prec@5 60.156 (63.169)
Epoch: [6][4600/14090]	Time 0.755 (0.749)	Data 0.001 (0.002)	Loss 2.7067 (2.8303)	Prec@1 41.406 (33.024)	Prec@5 69.531 (63.171)
Epoch: [6][4610/14090]	Time 0.736 (0.749)	Data 0.001 (0.002)	Loss 2.9369 (2.8304)	Prec@1 31.250 (33.023)	Prec@5 58.594 (63.167)
Epoch: [6][4620/14090]	Time 0.752 (0.749)	Data 0.001 (0.002)	Loss 2.9923 (2.8305)	Prec@1 30.469 (33.022)	Prec@5 56.250 (63.166)
Epoch: [6][4630/14090]	Time 0.745 (0.749)	Data 0.002 (0.002)	Loss 2.6475 (2.8306)	Prec@1 34.375 (33.022)	Prec@5 69.531 (63.167)
Epoch: [6][4640/14090]	Time 0.753 (0.749)	Data 0.001 (0.002)	Loss 2.8308 (2.8307)	Prec@1 29.688 (33.021)	Prec@5 60.938 (63.163)
Epoch: [6][4650/14090]	Time 0.738 (0.749)	Data 0.001 (0.002)	Loss 2.7265 (2.8307)	Prec@1 35.156 (33.020)	Prec@5 64.844 (63.162)
Epoch: [6][4660/14090]	Time 0.753 (0.749)	Data 0.001 (0.002)	Loss 2.9677 (2.8308)	Prec@1 30.469 (33.014)	Prec@5 57.031 (63.159)
Epoch: [6][4670/14090]	Time 0.742 (0.749)	Data 0.001 (0.002)	Loss 2.7706 (2.8309)	Prec@1 25.781 (33.009)	Prec@5 65.625 (63.155)
Epoch: [6][4680/14090]	Time 0.729 (0.749)	Data 0.001 (0.002)	Loss 3.1346 (2.8310)	Prec@1 25.000 (33.003)	Prec@5 60.938 (63.151)
Epoch: [6][4690/14090]	Time 0.770 (0.749)	Data 0.001 (0.002)	Loss 3.1625 (2.8311)	Prec@1 27.344 (33.001)	Prec@5 57.812 (63.150)
Epoch: [6][4700/14090]	Time 0.725 (0.749)	Data 0.002 (0.002)	Loss 2.7966 (2.8311)	Prec@1 34.375 (33.000)	Prec@5 64.844 (63.151)
Epoch: [6][4710/14090]	Time 0.727 (0.749)	Data 0.001 (0.002)	Loss 2.7806 (2.8313)	Prec@1 32.031 (32.999)	Prec@5 64.062 (63.146)
Epoch: [6][4720/14090]	Time 0.727 (0.749)	Data 0.001 (0.002)	Loss 3.1317 (2.8313)	Prec@1 26.562 (32.996)	Prec@5 57.812 (63.147)
Epoch: [6][4730/14090]	Time 0.775 (0.749)	Data 0.001 (0.002)	Loss 2.6781 (2.8312)	Prec@1 33.594 (32.996)	Prec@5 69.531 (63.148)
Epoch: [6][4740/14090]	Time 0.742 (0.749)	Data 0.001 (0.002)	Loss 2.8698 (2.8312)	Prec@1 32.031 (32.995)	Prec@5 61.719 (63.146)
Epoch: [6][4750/14090]	Time 0.759 (0.749)	Data 0.001 (0.002)	Loss 3.0392 (2.8314)	Prec@1 32.812 (32.993)	Prec@5 60.938 (63.141)
Epoch: [6][4760/14090]	Time 0.736 (0.749)	Data 0.001 (0.002)	Loss 2.6669 (2.8313)	Prec@1 38.281 (32.993)	Prec@5 66.406 (63.144)
Epoch: [6][4770/14090]	Time 0.783 (0.749)	Data 0.002 (0.002)	Loss 2.7211 (2.8314)	Prec@1 35.938 (32.993)	Prec@5 67.188 (63.142)
Epoch: [6][4780/14090]	Time 0.764 (0.749)	Data 0.001 (0.002)	Loss 2.5319 (2.8314)	Prec@1 39.844 (32.992)	Prec@5 69.531 (63.143)
Epoch: [6][4790/14090]	Time 0.744 (0.749)	Data 0.001 (0.002)	Loss 2.7259 (2.8313)	Prec@1 33.594 (32.994)	Prec@5 64.844 (63.146)
Epoch: [6][4800/14090]	Time 0.726 (0.749)	Data 0.001 (0.002)	Loss 2.8683 (2.8312)	Prec@1 31.250 (32.993)	Prec@5 64.062 (63.147)
Epoch: [6][4810/14090]	Time 0.729 (0.749)	Data 0.001 (0.002)	Loss 2.9641 (2.8314)	Prec@1 32.031 (32.991)	Prec@5 58.594 (63.144)
Epoch: [6][4820/14090]	Time 0.729 (0.749)	Data 0.001 (0.002)	Loss 2.5220 (2.8314)	Prec@1 42.188 (32.994)	Prec@5 65.625 (63.144)
Epoch: [6][4830/14090]	Time 0.743 (0.749)	Data 0.001 (0.002)	Loss 3.0545 (2.8315)	Prec@1 30.469 (32.992)	Prec@5 60.938 (63.141)
Epoch: [6][4840/14090]	Time 0.743 (0.749)	Data 0.001 (0.002)	Loss 2.8026 (2.8314)	Prec@1 42.969 (32.994)	Prec@5 63.281 (63.139)
Epoch: [6][4850/14090]	Time 0.763 (0.749)	Data 0.001 (0.002)	Loss 2.8006 (2.8314)	Prec@1 35.938 (32.994)	Prec@5 66.406 (63.140)
Epoch: [6][4860/14090]	Time 0.738 (0.749)	Data 0.001 (0.002)	Loss 2.9605 (2.8315)	Prec@1 32.031 (32.995)	Prec@5 61.719 (63.138)
Epoch: [6][4870/14090]	Time 0.751 (0.749)	Data 0.001 (0.002)	Loss 2.6247 (2.8315)	Prec@1 35.938 (32.996)	Prec@5 64.062 (63.138)
Epoch: [6][4880/14090]	Time 0.746 (0.749)	Data 0.001 (0.002)	Loss 2.8274 (2.8314)	Prec@1 35.938 (32.997)	Prec@5 63.281 (63.140)
Epoch: [6][4890/14090]	Time 0.750 (0.749)	Data 0.001 (0.002)	Loss 3.1322 (2.8315)	Prec@1 25.000 (32.996)	Prec@5 59.375 (63.139)
Epoch: [6][4900/14090]	Time 0.776 (0.749)	Data 0.001 (0.002)	Loss 2.5910 (2.8313)	Prec@1 45.312 (32.999)	Prec@5 67.969 (63.144)
Epoch: [6][4910/14090]	Time 0.759 (0.749)	Data 0.002 (0.002)	Loss 2.5642 (2.8314)	Prec@1 35.938 (33.001)	Prec@5 68.750 (63.143)
Epoch: [6][4920/14090]	Time 0.732 (0.749)	Data 0.001 (0.002)	Loss 2.7443 (2.8313)	Prec@1 35.938 (33.000)	Prec@5 65.625 (63.144)
Epoch: [6][4930/14090]	Time 0.745 (0.749)	Data 0.001 (0.002)	Loss 2.7001 (2.8310)	Prec@1 35.156 (33.006)	Prec@5 64.844 (63.149)
Epoch: [6][4940/14090]	Time 0.757 (0.749)	Data 0.001 (0.002)	Loss 3.0159 (2.8311)	Prec@1 31.250 (33.004)	Prec@5 57.812 (63.146)
Epoch: [6][4950/14090]	Time 0.754 (0.749)	Data 0.001 (0.002)	Loss 2.8535 (2.8309)	Prec@1 34.375 (33.009)	Prec@5 61.719 (63.149)
Epoch: [6][4960/14090]	Time 0.750 (0.749)	Data 0.001 (0.002)	Loss 2.9155 (2.8307)	Prec@1 35.938 (33.016)	Prec@5 63.281 (63.154)
Epoch: [6][4970/14090]	Time 0.771 (0.749)	Data 0.001 (0.002)	Loss 2.6943 (2.8307)	Prec@1 33.594 (33.016)	Prec@5 66.406 (63.153)
Epoch: [6][4980/14090]	Time 0.731 (0.749)	Data 0.002 (0.002)	Loss 2.7053 (2.8307)	Prec@1 32.031 (33.017)	Prec@5 71.875 (63.154)
Epoch: [6][4990/14090]	Time 0.738 (0.749)	Data 0.001 (0.002)	Loss 3.0835 (2.8310)	Prec@1 32.031 (33.012)	Prec@5 58.594 (63.147)
Epoch: [6][5000/14090]	Time 0.740 (0.749)	Data 0.001 (0.002)	Loss 2.8289 (2.8311)	Prec@1 29.688 (33.009)	Prec@5 66.406 (63.144)
Epoch: [6][5010/14090]	Time 0.735 (0.749)	Data 0.001 (0.002)	Loss 2.7706 (2.8311)	Prec@1 32.812 (33.008)	Prec@5 67.188 (63.145)
Epoch: [6][5020/14090]	Time 0.740 (0.749)	Data 0.001 (0.002)	Loss 3.0272 (2.8311)	Prec@1 28.906 (33.009)	Prec@5 62.500 (63.147)
Epoch: [6][5030/14090]	Time 0.742 (0.749)	Data 0.001 (0.002)	Loss 2.5179 (2.8309)	Prec@1 33.594 (33.009)	Prec@5 69.531 (63.148)
Epoch: [6][5040/14090]	Time 0.742 (0.749)	Data 0.001 (0.002)	Loss 2.5562 (2.8310)	Prec@1 38.281 (33.005)	Prec@5 66.406 (63.146)
Epoch: [6][5050/14090]	Time 0.746 (0.749)	Data 0.002 (0.002)	Loss 2.7237 (2.8311)	Prec@1 29.688 (33.002)	Prec@5 64.062 (63.143)
Epoch: [6][5060/14090]	Time 0.755 (0.749)	Data 0.001 (0.002)	Loss 2.8739 (2.8311)	Prec@1 33.594 (33.004)	Prec@5 65.625 (63.142)
Epoch: [6][5070/14090]	Time 0.742 (0.749)	Data 0.001 (0.002)	Loss 2.8941 (2.8311)	Prec@1 24.219 (33.002)	Prec@5 64.062 (63.141)
Epoch: [6][5080/14090]	Time 0.757 (0.749)	Data 0.001 (0.002)	Loss 2.3209 (2.8309)	Prec@1 42.969 (33.002)	Prec@5 72.656 (63.145)
Epoch: [6][5090/14090]	Time 0.772 (0.749)	Data 0.001 (0.002)	Loss 2.4822 (2.8308)	Prec@1 41.406 (33.005)	Prec@5 71.875 (63.149)
Epoch: [6][5100/14090]	Time 0.757 (0.749)	Data 0.001 (0.002)	Loss 2.6169 (2.8306)	Prec@1 42.188 (33.010)	Prec@5 68.750 (63.152)
Epoch: [6][5110/14090]	Time 0.770 (0.749)	Data 0.001 (0.002)	Loss 2.9685 (2.8307)	Prec@1 26.562 (33.007)	Prec@5 61.719 (63.147)
Epoch: [6][5120/14090]	Time 0.731 (0.749)	Data 0.002 (0.002)	Loss 2.7606 (2.8308)	Prec@1 30.469 (33.004)	Prec@5 66.406 (63.144)
Epoch: [6][5130/14090]	Time 0.738 (0.749)	Data 0.001 (0.002)	Loss 3.1759 (2.8310)	Prec@1 23.438 (32.999)	Prec@5 57.812 (63.141)
Epoch: [6][5140/14090]	Time 0.739 (0.749)	Data 0.001 (0.002)	Loss 2.7305 (2.8313)	Prec@1 35.156 (32.993)	Prec@5 68.750 (63.136)
Epoch: [6][5150/14090]	Time 0.755 (0.749)	Data 0.001 (0.002)	Loss 2.8084 (2.8313)	Prec@1 34.375 (32.996)	Prec@5 60.938 (63.133)
Epoch: [6][5160/14090]	Time 0.760 (0.749)	Data 0.001 (0.002)	Loss 2.8907 (2.8313)	Prec@1 32.812 (32.995)	Prec@5 58.594 (63.133)
Epoch: [6][5170/14090]	Time 0.752 (0.749)	Data 0.001 (0.002)	Loss 3.0889 (2.8312)	Prec@1 25.000 (32.996)	Prec@5 57.812 (63.133)
Epoch: [6][5180/14090]	Time 0.773 (0.749)	Data 0.001 (0.002)	Loss 3.0917 (2.8310)	Prec@1 28.906 (32.999)	Prec@5 57.031 (63.136)
Epoch: [6][5190/14090]	Time 0.754 (0.749)	Data 0.002 (0.002)	Loss 2.8842 (2.8308)	Prec@1 31.250 (33.002)	Prec@5 62.500 (63.138)
Epoch: [6][5200/14090]	Time 0.755 (0.749)	Data 0.001 (0.002)	Loss 3.1130 (2.8308)	Prec@1 28.906 (33.002)	Prec@5 59.375 (63.137)
Epoch: [6][5210/14090]	Time 0.758 (0.749)	Data 0.001 (0.002)	Loss 2.8595 (2.8308)	Prec@1 32.031 (33.002)	Prec@5 64.844 (63.140)
Epoch: [6][5220/14090]	Time 0.741 (0.749)	Data 0.001 (0.002)	Loss 2.8043 (2.8307)	Prec@1 33.594 (33.001)	Prec@5 69.531 (63.142)
Epoch: [6][5230/14090]	Time 0.736 (0.749)	Data 0.001 (0.002)	Loss 2.7858 (2.8309)	Prec@1 36.719 (33.002)	Prec@5 64.062 (63.138)
Epoch: [6][5240/14090]	Time 0.741 (0.749)	Data 0.001 (0.002)	Loss 2.9869 (2.8309)	Prec@1 30.469 (33.005)	Prec@5 58.594 (63.137)
Epoch: [6][5250/14090]	Time 0.754 (0.749)	Data 0.001 (0.002)	Loss 3.3386 (2.8311)	Prec@1 24.219 (33.003)	Prec@5 50.000 (63.133)
Epoch: [6][5260/14090]	Time 0.752 (0.749)	Data 0.002 (0.002)	Loss 2.7011 (2.8311)	Prec@1 35.938 (33.002)	Prec@5 64.844 (63.132)
Epoch: [6][5270/14090]	Time 0.731 (0.749)	Data 0.001 (0.002)	Loss 3.2514 (2.8311)	Prec@1 22.656 (33.003)	Prec@5 60.156 (63.132)
Epoch: [6][5280/14090]	Time 0.760 (0.749)	Data 0.001 (0.002)	Loss 2.5560 (2.8311)	Prec@1 36.719 (33.000)	Prec@5 69.531 (63.131)
Epoch: [6][5290/14090]	Time 0.725 (0.749)	Data 0.001 (0.002)	Loss 2.6850 (2.8312)	Prec@1 28.125 (32.997)	Prec@5 64.844 (63.128)
Epoch: [6][5300/14090]	Time 0.776 (0.749)	Data 0.001 (0.002)	Loss 2.8425 (2.8313)	Prec@1 29.688 (32.995)	Prec@5 63.281 (63.124)
Epoch: [6][5310/14090]	Time 0.724 (0.749)	Data 0.001 (0.002)	Loss 2.7033 (2.8312)	Prec@1 33.594 (32.996)	Prec@5 67.188 (63.125)
Epoch: [6][5320/14090]	Time 0.734 (0.749)	Data 0.001 (0.002)	Loss 2.7292 (2.8312)	Prec@1 34.375 (32.997)	Prec@5 64.062 (63.124)
Epoch: [6][5330/14090]	Time 0.724 (0.749)	Data 0.002 (0.002)	Loss 2.9575 (2.8313)	Prec@1 33.594 (32.994)	Prec@5 60.156 (63.120)
Epoch: [6][5340/14090]	Time 0.772 (0.749)	Data 0.001 (0.002)	Loss 2.5730 (2.8313)	Prec@1 36.719 (32.994)	Prec@5 66.406 (63.121)
Epoch: [6][5350/14090]	Time 0.759 (0.749)	Data 0.001 (0.002)	Loss 2.6576 (2.8312)	Prec@1 36.719 (32.996)	Prec@5 67.188 (63.121)
Epoch: [6][5360/14090]	Time 0.725 (0.749)	Data 0.001 (0.002)	Loss 2.8904 (2.8312)	Prec@1 30.469 (32.996)	Prec@5 63.281 (63.122)
Epoch: [6][5370/14090]	Time 0.748 (0.749)	Data 0.001 (0.002)	Loss 2.8966 (2.8313)	Prec@1 34.375 (32.992)	Prec@5 61.719 (63.120)
Epoch: [6][5380/14090]	Time 0.728 (0.749)	Data 0.001 (0.002)	Loss 3.0554 (2.8315)	Prec@1 36.719 (32.993)	Prec@5 54.688 (63.114)
Epoch: [6][5390/14090]	Time 0.750 (0.749)	Data 0.001 (0.002)	Loss 3.3357 (2.8316)	Prec@1 26.562 (32.990)	Prec@5 49.219 (63.111)
Epoch: [6][5400/14090]	Time 0.752 (0.749)	Data 0.002 (0.002)	Loss 2.8874 (2.8315)	Prec@1 32.812 (32.990)	Prec@5 66.406 (63.113)
Epoch: [6][5410/14090]	Time 0.750 (0.749)	Data 0.001 (0.002)	Loss 2.8758 (2.8315)	Prec@1 32.812 (32.989)	Prec@5 59.375 (63.111)
Epoch: [6][5420/14090]	Time 0.739 (0.749)	Data 0.001 (0.002)	Loss 2.7196 (2.8317)	Prec@1 32.812 (32.986)	Prec@5 64.062 (63.107)
Epoch: [6][5430/14090]	Time 0.767 (0.749)	Data 0.001 (0.002)	Loss 2.6022 (2.8316)	Prec@1 39.844 (32.990)	Prec@5 68.750 (63.113)
Epoch: [6][5440/14090]	Time 0.754 (0.749)	Data 0.001 (0.001)	Loss 2.6495 (2.8316)	Prec@1 42.188 (32.992)	Prec@5 70.312 (63.114)
Epoch: [6][5450/14090]	Time 0.718 (0.749)	Data 0.001 (0.001)	Loss 3.0851 (2.8315)	Prec@1 35.938 (32.994)	Prec@5 61.719 (63.117)
Epoch: [6][5460/14090]	Time 0.749 (0.749)	Data 0.001 (0.001)	Loss 2.8016 (2.8314)	Prec@1 32.031 (32.998)	Prec@5 62.500 (63.119)
Epoch: [6][5470/14090]	Time 0.735 (0.749)	Data 0.002 (0.001)	Loss 2.5335 (2.8313)	Prec@1 39.062 (33.002)	Prec@5 64.844 (63.119)
Epoch: [6][5480/14090]	Time 0.745 (0.749)	Data 0.001 (0.001)	Loss 2.7260 (2.8315)	Prec@1 32.812 (32.997)	Prec@5 61.719 (63.114)
Epoch: [6][5490/14090]	Time 0.730 (0.749)	Data 0.001 (0.001)	Loss 3.1445 (2.8317)	Prec@1 24.219 (32.994)	Prec@5 58.594 (63.110)
Epoch: [6][5500/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 2.7864 (2.8318)	Prec@1 37.500 (32.988)	Prec@5 67.188 (63.108)
Epoch: [6][5510/14090]	Time 0.736 (0.749)	Data 0.001 (0.001)	Loss 2.8060 (2.8318)	Prec@1 35.156 (32.988)	Prec@5 63.281 (63.108)
Epoch: [6][5520/14090]	Time 0.745 (0.749)	Data 0.001 (0.001)	Loss 2.8542 (2.8317)	Prec@1 33.594 (32.989)	Prec@5 58.594 (63.108)
Epoch: [6][5530/14090]	Time 0.740 (0.749)	Data 0.001 (0.001)	Loss 2.9767 (2.8317)	Prec@1 36.719 (32.989)	Prec@5 61.719 (63.110)
Epoch: [6][5540/14090]	Time 0.728 (0.749)	Data 0.002 (0.001)	Loss 3.0402 (2.8317)	Prec@1 32.031 (32.990)	Prec@5 60.156 (63.111)
Epoch: [6][5550/14090]	Time 0.732 (0.749)	Data 0.001 (0.001)	Loss 2.9222 (2.8317)	Prec@1 29.688 (32.988)	Prec@5 56.250 (63.110)
Epoch: [6][5560/14090]	Time 0.753 (0.749)	Data 0.001 (0.001)	Loss 2.9747 (2.8319)	Prec@1 29.688 (32.986)	Prec@5 57.812 (63.106)
Epoch: [6][5570/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 2.8721 (2.8316)	Prec@1 33.594 (32.990)	Prec@5 58.594 (63.108)
Epoch: [6][5580/14090]	Time 0.757 (0.749)	Data 0.001 (0.001)	Loss 2.7478 (2.8317)	Prec@1 28.125 (32.992)	Prec@5 66.406 (63.106)
Epoch: [6][5590/14090]	Time 0.781 (0.749)	Data 0.001 (0.001)	Loss 2.8594 (2.8317)	Prec@1 30.469 (32.993)	Prec@5 62.500 (63.106)
Epoch: [6][5600/14090]	Time 0.736 (0.749)	Data 0.001 (0.001)	Loss 2.5730 (2.8315)	Prec@1 39.844 (32.995)	Prec@5 65.625 (63.109)
Epoch: [6][5610/14090]	Time 0.748 (0.749)	Data 0.002 (0.001)	Loss 2.6009 (2.8314)	Prec@1 37.500 (32.998)	Prec@5 64.062 (63.111)
Epoch: [6][5620/14090]	Time 0.755 (0.749)	Data 0.001 (0.001)	Loss 3.0900 (2.8316)	Prec@1 27.344 (32.993)	Prec@5 55.469 (63.106)
Epoch: [6][5630/14090]	Time 0.743 (0.749)	Data 0.001 (0.001)	Loss 2.5886 (2.8316)	Prec@1 36.719 (32.995)	Prec@5 65.625 (63.103)
Epoch: [6][5640/14090]	Time 0.753 (0.749)	Data 0.001 (0.001)	Loss 2.8679 (2.8315)	Prec@1 29.688 (32.997)	Prec@5 62.500 (63.107)
Epoch: [6][5650/14090]	Time 0.769 (0.749)	Data 0.001 (0.001)	Loss 2.8695 (2.8315)	Prec@1 33.594 (32.998)	Prec@5 63.281 (63.107)
Epoch: [6][5660/14090]	Time 0.748 (0.749)	Data 0.001 (0.001)	Loss 2.9778 (2.8317)	Prec@1 30.469 (32.993)	Prec@5 62.500 (63.103)
Epoch: [6][5670/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 2.9505 (2.8316)	Prec@1 29.688 (32.993)	Prec@5 58.594 (63.104)
Epoch: [6][5680/14090]	Time 0.733 (0.749)	Data 0.002 (0.001)	Loss 2.8920 (2.8316)	Prec@1 33.594 (32.992)	Prec@5 66.406 (63.107)
Epoch: [6][5690/14090]	Time 0.733 (0.749)	Data 0.001 (0.001)	Loss 2.9116 (2.8317)	Prec@1 25.781 (32.991)	Prec@5 60.156 (63.106)
Epoch: [6][5700/14090]	Time 0.741 (0.749)	Data 0.001 (0.001)	Loss 3.0305 (2.8318)	Prec@1 24.219 (32.989)	Prec@5 60.156 (63.103)
Epoch: [6][5710/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 2.9909 (2.8319)	Prec@1 30.469 (32.982)	Prec@5 65.625 (63.100)
Epoch: [6][5720/14090]	Time 0.771 (0.749)	Data 0.001 (0.001)	Loss 2.8471 (2.8321)	Prec@1 27.344 (32.981)	Prec@5 66.406 (63.097)
Epoch: [6][5730/14090]	Time 0.746 (0.749)	Data 0.001 (0.001)	Loss 2.7933 (2.8319)	Prec@1 32.031 (32.980)	Prec@5 61.719 (63.100)
Epoch: [6][5740/14090]	Time 0.748 (0.749)	Data 0.001 (0.001)	Loss 3.0913 (2.8321)	Prec@1 35.156 (32.979)	Prec@5 60.938 (63.096)
Epoch: [6][5750/14090]	Time 0.779 (0.749)	Data 0.002 (0.001)	Loss 2.5886 (2.8321)	Prec@1 36.719 (32.977)	Prec@5 67.969 (63.095)
Epoch: [6][5760/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 3.0839 (2.8321)	Prec@1 32.031 (32.977)	Prec@5 62.500 (63.098)
Epoch: [6][5770/14090]	Time 0.752 (0.749)	Data 0.001 (0.001)	Loss 2.9643 (2.8321)	Prec@1 29.688 (32.978)	Prec@5 60.156 (63.097)
Epoch: [6][5780/14090]	Time 0.757 (0.749)	Data 0.001 (0.001)	Loss 2.8559 (2.8319)	Prec@1 32.812 (32.983)	Prec@5 63.281 (63.099)
Epoch: [6][5790/14090]	Time 0.775 (0.749)	Data 0.001 (0.001)	Loss 2.6644 (2.8319)	Prec@1 37.500 (32.985)	Prec@5 64.844 (63.099)
Epoch: [6][5800/14090]	Time 0.731 (0.749)	Data 0.001 (0.001)	Loss 2.6322 (2.8320)	Prec@1 35.156 (32.984)	Prec@5 67.969 (63.097)
Epoch: [6][5810/14090]	Time 0.740 (0.749)	Data 0.001 (0.001)	Loss 2.9910 (2.8320)	Prec@1 32.031 (32.986)	Prec@5 60.938 (63.096)
Epoch: [6][5820/14090]	Time 0.735 (0.749)	Data 0.002 (0.001)	Loss 2.9425 (2.8320)	Prec@1 32.812 (32.984)	Prec@5 59.375 (63.098)
Epoch: [6][5830/14090]	Time 0.737 (0.749)	Data 0.001 (0.001)	Loss 2.9179 (2.8320)	Prec@1 32.812 (32.985)	Prec@5 59.375 (63.096)
Epoch: [6][5840/14090]	Time 0.745 (0.749)	Data 0.001 (0.001)	Loss 2.9320 (2.8322)	Prec@1 32.031 (32.980)	Prec@5 57.031 (63.090)
Epoch: [6][5850/14090]	Time 0.748 (0.749)	Data 0.001 (0.001)	Loss 2.7055 (2.8323)	Prec@1 36.719 (32.980)	Prec@5 67.188 (63.092)
Epoch: [6][5860/14090]	Time 0.759 (0.749)	Data 0.001 (0.001)	Loss 2.7468 (2.8323)	Prec@1 32.812 (32.978)	Prec@5 61.719 (63.092)
Epoch: [6][5870/14090]	Time 0.742 (0.749)	Data 0.001 (0.001)	Loss 2.9921 (2.8321)	Prec@1 29.688 (32.980)	Prec@5 60.156 (63.092)
Epoch: [6][5880/14090]	Time 0.757 (0.749)	Data 0.001 (0.001)	Loss 2.9574 (2.8321)	Prec@1 34.375 (32.982)	Prec@5 57.812 (63.091)
Epoch: [6][5890/14090]	Time 0.725 (0.749)	Data 0.002 (0.001)	Loss 2.9500 (2.8320)	Prec@1 29.688 (32.982)	Prec@5 60.938 (63.091)
Epoch: [6][5900/14090]	Time 0.780 (0.749)	Data 0.001 (0.001)	Loss 2.8400 (2.8320)	Prec@1 37.500 (32.983)	Prec@5 63.281 (63.094)
Epoch: [6][5910/14090]	Time 0.739 (0.749)	Data 0.001 (0.001)	Loss 2.8632 (2.8320)	Prec@1 35.938 (32.983)	Prec@5 63.281 (63.092)
Epoch: [6][5920/14090]	Time 0.745 (0.749)	Data 0.001 (0.001)	Loss 2.6496 (2.8320)	Prec@1 32.031 (32.983)	Prec@5 66.406 (63.090)
Epoch: [6][5930/14090]	Time 0.733 (0.749)	Data 0.001 (0.001)	Loss 2.9401 (2.8319)	Prec@1 30.469 (32.984)	Prec@5 61.719 (63.091)
Epoch: [6][5940/14090]	Time 0.737 (0.749)	Data 0.001 (0.001)	Loss 2.7292 (2.8318)	Prec@1 29.688 (32.983)	Prec@5 57.812 (63.091)
Epoch: [6][5950/14090]	Time 0.740 (0.749)	Data 0.001 (0.001)	Loss 2.6763 (2.8317)	Prec@1 29.688 (32.983)	Prec@5 67.188 (63.091)
Epoch: [6][5960/14090]	Time 0.732 (0.749)	Data 0.002 (0.001)	Loss 2.8226 (2.8318)	Prec@1 33.594 (32.984)	Prec@5 67.188 (63.091)
Epoch: [6][5970/14090]	Time 0.747 (0.749)	Data 0.001 (0.001)	Loss 3.0766 (2.8318)	Prec@1 34.375 (32.985)	Prec@5 60.156 (63.091)
Epoch: [6][5980/14090]	Time 0.726 (0.749)	Data 0.001 (0.001)	Loss 2.8672 (2.8319)	Prec@1 33.594 (32.985)	Prec@5 59.375 (63.088)
Epoch: [6][5990/14090]	Time 0.761 (0.749)	Data 0.001 (0.001)	Loss 2.5454 (2.8319)	Prec@1 28.906 (32.985)	Prec@5 68.750 (63.087)
Epoch: [6][6000/14090]	Time 0.723 (0.749)	Data 0.001 (0.001)	Loss 2.7929 (2.8319)	Prec@1 39.062 (32.988)	Prec@5 61.719 (63.086)
Epoch: [6][6010/14090]	Time 0.742 (0.749)	Data 0.001 (0.001)	Loss 2.7984 (2.8321)	Prec@1 28.906 (32.984)	Prec@5 64.844 (63.081)
Epoch: [6][6020/14090]	Time 0.745 (0.749)	Data 0.001 (0.001)	Loss 2.6692 (2.8320)	Prec@1 32.812 (32.982)	Prec@5 66.406 (63.083)
Epoch: [6][6030/14090]	Time 0.732 (0.749)	Data 0.002 (0.001)	Loss 2.9913 (2.8320)	Prec@1 25.781 (32.981)	Prec@5 59.375 (63.082)
Epoch: [6][6040/14090]	Time 0.744 (0.749)	Data 0.001 (0.001)	Loss 2.9681 (2.8321)	Prec@1 29.688 (32.980)	Prec@5 59.375 (63.081)
Epoch: [6][6050/14090]	Time 0.766 (0.749)	Data 0.001 (0.001)	Loss 2.8217 (2.8320)	Prec@1 33.594 (32.983)	Prec@5 60.156 (63.083)
Epoch: [6][6060/14090]	Time 0.750 (0.749)	Data 0.001 (0.001)	Loss 2.7335 (2.8320)	Prec@1 35.156 (32.982)	Prec@5 63.281 (63.084)
Epoch: [6][6070/14090]	Time 0.756 (0.748)	Data 0.001 (0.001)	Loss 2.6559 (2.8320)	Prec@1 38.281 (32.983)	Prec@5 67.188 (63.085)
Epoch: [6][6080/14090]	Time 0.744 (0.749)	Data 0.001 (0.001)	Loss 2.6345 (2.8320)	Prec@1 32.031 (32.981)	Prec@5 67.188 (63.085)
Epoch: [6][6090/14090]	Time 0.736 (0.748)	Data 0.001 (0.001)	Loss 2.8085 (2.8320)	Prec@1 34.375 (32.981)	Prec@5 61.719 (63.084)
Epoch: [6][6100/14090]	Time 0.732 (0.748)	Data 0.002 (0.001)	Loss 2.9094 (2.8322)	Prec@1 31.250 (32.978)	Prec@5 62.500 (63.083)
Epoch: [6][6110/14090]	Time 0.734 (0.748)	Data 0.001 (0.001)	Loss 2.6836 (2.8321)	Prec@1 36.719 (32.977)	Prec@5 67.969 (63.083)
Epoch: [6][6120/14090]	Time 0.730 (0.748)	Data 0.001 (0.001)	Loss 2.7633 (2.8320)	Prec@1 38.281 (32.979)	Prec@5 67.188 (63.086)
Epoch: [6][6130/14090]	Time 0.739 (0.748)	Data 0.001 (0.001)	Loss 2.8306 (2.8318)	Prec@1 35.156 (32.984)	Prec@5 63.281 (63.090)
Epoch: [6][6140/14090]	Time 0.758 (0.748)	Data 0.001 (0.001)	Loss 2.9282 (2.8319)	Prec@1 29.688 (32.984)	Prec@5 63.281 (63.089)
Epoch: [6][6150/14090]	Time 0.733 (0.748)	Data 0.001 (0.001)	Loss 2.8939 (2.8318)	Prec@1 30.469 (32.984)	Prec@5 56.250 (63.087)
Epoch: [6][6160/14090]	Time 0.734 (0.748)	Data 0.001 (0.001)	Loss 3.0105 (2.8318)	Prec@1 28.906 (32.980)	Prec@5 57.031 (63.088)
Epoch: [6][6170/14090]	Time 0.727 (0.748)	Data 0.002 (0.001)	Loss 2.7918 (2.8319)	Prec@1 42.969 (32.980)	Prec@5 60.938 (63.083)
Epoch: [6][6180/14090]	Time 0.762 (0.748)	Data 0.001 (0.001)	Loss 2.9619 (2.8320)	Prec@1 33.594 (32.983)	Prec@5 60.938 (63.083)
Epoch: [6][6190/14090]	Time 0.756 (0.748)	Data 0.001 (0.001)	Loss 2.8876 (2.8318)	Prec@1 35.938 (32.981)	Prec@5 61.719 (63.088)
Epoch: [6][6200/14090]	Time 0.750 (0.749)	Data 0.001 (0.001)	Loss 2.7394 (2.8318)	Prec@1 35.156 (32.983)	Prec@5 69.531 (63.087)
Epoch: [6][6210/14090]	Time 0.748 (0.748)	Data 0.001 (0.001)	Loss 2.7977 (2.8318)	Prec@1 34.375 (32.984)	Prec@5 62.500 (63.089)
Epoch: [6][6220/14090]	Time 0.745 (0.748)	Data 0.001 (0.001)	Loss 2.6639 (2.8318)	Prec@1 33.594 (32.986)	Prec@5 67.188 (63.089)
Epoch: [6][6230/14090]	Time 0.739 (0.748)	Data 0.001 (0.001)	Loss 3.1116 (2.8320)	Prec@1 26.562 (32.983)	Prec@5 55.469 (63.084)
Epoch: [6][6240/14090]	Time 0.769 (0.748)	Data 0.002 (0.001)	Loss 2.8511 (2.8319)	Prec@1 33.594 (32.982)	Prec@5 60.938 (63.083)
Epoch: [6][6250/14090]	Time 0.746 (0.748)	Data 0.001 (0.001)	Loss 3.0766 (2.8319)	Prec@1 31.250 (32.980)	Prec@5 58.594 (63.083)
Epoch: [6][6260/14090]	Time 0.734 (0.748)	Data 0.001 (0.001)	Loss 2.8995 (2.8319)	Prec@1 34.375 (32.982)	Prec@5 60.156 (63.083)
Epoch: [6][6270/14090]	Time 0.755 (0.748)	Data 0.001 (0.001)	Loss 2.6113 (2.8318)	Prec@1 36.719 (32.984)	Prec@5 62.500 (63.082)
Epoch: [6][6280/14090]	Time 0.738 (0.748)	Data 0.001 (0.001)	Loss 2.6134 (2.8317)	Prec@1 37.500 (32.987)	Prec@5 65.625 (63.084)
Epoch: [6][6290/14090]	Time 0.757 (0.748)	Data 0.001 (0.001)	Loss 2.8690 (2.8318)	Prec@1 30.469 (32.986)	Prec@5 60.938 (63.081)
Epoch: [6][6300/14090]	Time 0.783 (0.748)	Data 0.001 (0.001)	Loss 3.0850 (2.8319)	Prec@1 29.688 (32.986)	Prec@5 56.250 (63.081)
Epoch: [6][6310/14090]	Time 0.751 (0.748)	Data 0.002 (0.001)	Loss 2.7080 (2.8318)	Prec@1 35.938 (32.986)	Prec@5 61.719 (63.081)
Epoch: [6][6320/14090]	Time 0.759 (0.748)	Data 0.001 (0.001)	Loss 2.6197 (2.8318)	Prec@1 39.062 (32.985)	Prec@5 66.406 (63.081)
Epoch: [6][6330/14090]	Time 0.761 (0.748)	Data 0.001 (0.001)	Loss 2.8178 (2.8318)	Prec@1 29.688 (32.985)	Prec@5 63.281 (63.082)
Epoch: [6][6340/14090]	Time 0.735 (0.748)	Data 0.001 (0.001)	Loss 3.0220 (2.8316)	Prec@1 27.344 (32.989)	Prec@5 57.812 (63.084)
Epoch: [6][6350/14090]	Time 0.754 (0.748)	Data 0.001 (0.001)	Loss 2.9501 (2.8317)	Prec@1 32.812 (32.987)	Prec@5 63.281 (63.086)
Epoch: [6][6360/14090]	Time 0.759 (0.748)	Data 0.001 (0.001)	Loss 3.1103 (2.8318)	Prec@1 31.250 (32.988)	Prec@5 60.938 (63.085)
Epoch: [6][6370/14090]	Time 0.760 (0.748)	Data 0.001 (0.001)	Loss 2.9190 (2.8317)	Prec@1 25.000 (32.987)	Prec@5 59.375 (63.086)
Epoch: [6][6380/14090]	Time 0.727 (0.748)	Data 0.002 (0.001)	Loss 2.6525 (2.8317)	Prec@1 39.844 (32.988)	Prec@5 63.281 (63.087)
Epoch: [6][6390/14090]	Time 0.772 (0.748)	Data 0.001 (0.001)	Loss 2.8008 (2.8317)	Prec@1 28.125 (32.987)	Prec@5 64.062 (63.088)
Epoch: [6][6400/14090]	Time 0.728 (0.748)	Data 0.001 (0.001)	Loss 2.6806 (2.8316)	Prec@1 32.031 (32.991)	Prec@5 71.094 (63.091)
Epoch: [6][6410/14090]	Time 0.767 (0.748)	Data 0.001 (0.001)	Loss 2.6798 (2.8317)	Prec@1 32.812 (32.990)	Prec@5 61.719 (63.086)
Epoch: [6][6420/14090]	Time 0.741 (0.748)	Data 0.001 (0.001)	Loss 3.0392 (2.8319)	Prec@1 31.250 (32.987)	Prec@5 58.594 (63.085)
Epoch: [6][6430/14090]	Time 0.747 (0.748)	Data 0.001 (0.001)	Loss 2.6653 (2.8317)	Prec@1 38.281 (32.992)	Prec@5 71.875 (63.088)
Epoch: [6][6440/14090]	Time 0.742 (0.748)	Data 0.001 (0.001)	Loss 2.8761 (2.8317)	Prec@1 32.812 (32.990)	Prec@5 57.812 (63.088)
Epoch: [6][6450/14090]	Time 0.727 (0.748)	Data 0.002 (0.001)	Loss 2.9579 (2.8318)	Prec@1 31.250 (32.990)	Prec@5 60.156 (63.087)
Epoch: [6][6460/14090]	Time 0.757 (0.748)	Data 0.001 (0.001)	Loss 2.7616 (2.8318)	Prec@1 35.938 (32.990)	Prec@5 67.969 (63.089)
Epoch: [6][6470/14090]	Time 0.734 (0.748)	Data 0.001 (0.001)	Loss 2.7056 (2.8318)	Prec@1 37.500 (32.987)	Prec@5 65.625 (63.088)
Epoch: [6][6480/14090]	Time 0.733 (0.748)	Data 0.001 (0.001)	Loss 2.8589 (2.8319)	Prec@1 31.250 (32.986)	Prec@5 67.969 (63.091)
Epoch: [6][6490/14090]	Time 0.742 (0.748)	Data 0.001 (0.001)	Loss 2.8403 (2.8318)	Prec@1 28.125 (32.987)	Prec@5 63.281 (63.093)
Epoch: [6][6500/14090]	Time 0.759 (0.748)	Data 0.001 (0.001)	Loss 2.8955 (2.8320)	Prec@1 36.719 (32.987)	Prec@5 64.844 (63.093)
Epoch: [6][6510/14090]	Time 0.734 (0.748)	Data 0.001 (0.001)	Loss 2.9407 (2.8318)	Prec@1 31.250 (32.990)	Prec@5 59.375 (63.097)
Epoch: [6][6520/14090]	Time 0.731 (0.748)	Data 0.002 (0.001)	Loss 2.8071 (2.8318)	Prec@1 32.031 (32.989)	Prec@5 61.719 (63.096)
Epoch: [6][6530/14090]	Time 0.750 (0.748)	Data 0.002 (0.001)	Loss 2.9518 (2.8318)	Prec@1 31.250 (32.990)	Prec@5 60.156 (63.096)
Epoch: [6][6540/14090]	Time 0.733 (0.748)	Data 0.001 (0.001)	Loss 2.8049 (2.8317)	Prec@1 32.031 (32.994)	Prec@5 66.406 (63.099)
Epoch: [6][6550/14090]	Time 0.739 (0.748)	Data 0.001 (0.001)	Loss 2.6202 (2.8316)	Prec@1 34.375 (33.000)	Prec@5 67.969 (63.101)
Epoch: [6][6560/14090]	Time 0.755 (0.748)	Data 0.001 (0.001)	Loss 2.8276 (2.8316)	Prec@1 34.375 (32.999)	Prec@5 62.500 (63.100)
Epoch: [6][6570/14090]	Time 0.725 (0.748)	Data 0.001 (0.001)	Loss 2.9085 (2.8316)	Prec@1 28.906 (33.000)	Prec@5 64.062 (63.102)
Epoch: [6][6580/14090]	Time 0.733 (0.748)	Data 0.001 (0.001)	Loss 2.5944 (2.8315)	Prec@1 41.406 (33.001)	Prec@5 65.625 (63.102)
Epoch: [6][6590/14090]	Time 0.753 (0.748)	Data 0.002 (0.001)	Loss 2.8149 (2.8316)	Prec@1 32.031 (33.001)	Prec@5 59.375 (63.102)
Epoch: [6][6600/14090]	Time 0.749 (0.748)	Data 0.001 (0.001)	Loss 2.7135 (2.8315)	Prec@1 34.375 (33.004)	Prec@5 64.062 (63.103)
Epoch: [6][6610/14090]	Time 0.748 (0.748)	Data 0.001 (0.001)	Loss 3.0968 (2.8316)	Prec@1 27.344 (33.001)	Prec@5 60.938 (63.101)
Epoch: [6][6620/14090]	Time 0.720 (0.748)	Data 0.001 (0.001)	Loss 2.7500 (2.8316)	Prec@1 34.375 (33.000)	Prec@5 60.938 (63.099)
Epoch: [6][6630/14090]	Time 0.739 (0.748)	Data 0.001 (0.001)	Loss 2.9922 (2.8316)	Prec@1 29.688 (33.000)	Prec@5 60.156 (63.100)
Epoch: [6][6640/14090]	Time 0.745 (0.748)	Data 0.001 (0.001)	Loss 2.6044 (2.8316)	Prec@1 41.406 (32.999)	Prec@5 69.531 (63.101)
Epoch: [6][6650/14090]	Time 0.759 (0.748)	Data 0.001 (0.001)	Loss 2.7525 (2.8314)	Prec@1 36.719 (33.003)	Prec@5 67.969 (63.104)
Epoch: [6][6660/14090]	Time 0.747 (0.748)	Data 0.002 (0.001)	Loss 2.5847 (2.8313)	Prec@1 35.938 (33.002)	Prec@5 67.188 (63.106)
Epoch: [6][6670/14090]	Time 0.766 (0.748)	Data 0.001 (0.001)	Loss 2.6974 (2.8313)	Prec@1 43.750 (33.004)	Prec@5 67.188 (63.104)
Epoch: [6][6680/14090]	Time 0.745 (0.748)	Data 0.001 (0.001)	Loss 2.7874 (2.8314)	Prec@1 32.812 (33.001)	Prec@5 60.156 (63.102)
Epoch: [6][6690/14090]	Time 0.761 (0.748)	Data 0.001 (0.001)	Loss 2.7406 (2.8314)	Prec@1 35.938 (33.001)	Prec@5 58.594 (63.102)
Epoch: [6][6700/14090]	Time 0.719 (0.748)	Data 0.001 (0.001)	Loss 2.8048 (2.8314)	Prec@1 32.031 (33.003)	Prec@5 68.750 (63.106)
Epoch: [6][6710/14090]	Time 0.749 (0.748)	Data 0.001 (0.001)	Loss 2.9803 (2.8313)	Prec@1 23.438 (33.004)	Prec@5 57.031 (63.108)
Epoch: [6][6720/14090]	Time 0.756 (0.748)	Data 0.001 (0.001)	Loss 3.1071 (2.8314)	Prec@1 26.562 (33.002)	Prec@5 61.719 (63.109)
Epoch: [6][6730/14090]	Time 0.751 (0.748)	Data 0.002 (0.001)	Loss 2.8883 (2.8315)	Prec@1 32.031 (33.001)	Prec@5 64.062 (63.106)
Epoch: [6][6740/14090]	Time 0.752 (0.748)	Data 0.001 (0.001)	Loss 2.5168 (2.8314)	Prec@1 41.406 (33.001)	Prec@5 67.969 (63.107)
Epoch: [6][6750/14090]	Time 0.723 (0.748)	Data 0.001 (0.001)	Loss 2.7081 (2.8314)	Prec@1 32.031 (32.998)	Prec@5 61.719 (63.106)
Epoch: [6][6760/14090]	Time 0.728 (0.748)	Data 0.001 (0.001)	Loss 2.9548 (2.8314)	Prec@1 32.812 (32.999)	Prec@5 60.156 (63.105)
Epoch: [6][6770/14090]	Time 0.726 (0.748)	Data 0.001 (0.001)	Loss 3.1880 (2.8315)	Prec@1 25.000 (32.998)	Prec@5 57.031 (63.103)
Epoch: [6][6780/14090]	Time 0.750 (0.748)	Data 0.001 (0.001)	Loss 2.8988 (2.8315)	Prec@1 28.906 (32.996)	Prec@5 66.406 (63.101)
Epoch: [6][6790/14090]	Time 0.722 (0.748)	Data 0.001 (0.001)	Loss 2.8252 (2.8316)	Prec@1 34.375 (32.995)	Prec@5 61.719 (63.100)
Epoch: [6][6800/14090]	Time 0.721 (0.748)	Data 0.002 (0.001)	Loss 3.0365 (2.8316)	Prec@1 29.688 (32.997)	Prec@5 54.688 (63.099)
Epoch: [6][6810/14090]	Time 0.735 (0.748)	Data 0.001 (0.001)	Loss 2.6881 (2.8315)	Prec@1 32.812 (32.997)	Prec@5 62.500 (63.101)
Epoch: [6][6820/14090]	Time 0.725 (0.748)	Data 0.001 (0.001)	Loss 2.5132 (2.8315)	Prec@1 40.625 (32.997)	Prec@5 64.062 (63.099)
Epoch: [6][6830/14090]	Time 0.729 (0.748)	Data 0.001 (0.001)	Loss 2.6256 (2.8314)	Prec@1 32.812 (32.997)	Prec@5 64.844 (63.102)
Epoch: [6][6840/14090]	Time 0.774 (0.748)	Data 0.001 (0.001)	Loss 2.8197 (2.8315)	Prec@1 30.469 (32.994)	Prec@5 64.844 (63.101)
Epoch: [6][6850/14090]	Time 0.755 (0.748)	Data 0.001 (0.001)	Loss 2.9656 (2.8316)	Prec@1 30.469 (32.992)	Prec@5 64.062 (63.100)
Epoch: [6][6860/14090]	Time 0.748 (0.748)	Data 0.001 (0.001)	Loss 2.8728 (2.8317)	Prec@1 37.500 (32.992)	Prec@5 64.844 (63.100)
Epoch: [6][6870/14090]	Time 0.755 (0.748)	Data 0.002 (0.001)	Loss 2.8610 (2.8318)	Prec@1 33.594 (32.989)	Prec@5 66.406 (63.097)
Epoch: [6][6880/14090]	Time 0.748 (0.748)	Data 0.001 (0.001)	Loss 2.6538 (2.8318)	Prec@1 40.625 (32.991)	Prec@5 68.750 (63.096)
Epoch: [6][6890/14090]	Time 0.743 (0.748)	Data 0.001 (0.001)	Loss 2.9481 (2.8318)	Prec@1 28.125 (32.990)	Prec@5 59.375 (63.098)
Epoch: [6][6900/14090]	Time 0.784 (0.748)	Data 0.001 (0.001)	Loss 2.8670 (2.8318)	Prec@1 32.812 (32.990)	Prec@5 59.375 (63.097)
Epoch: [6][6910/14090]	Time 0.740 (0.748)	Data 0.001 (0.001)	Loss 3.0071 (2.8318)	Prec@1 34.375 (32.994)	Prec@5 63.281 (63.098)
Epoch: [6][6920/14090]	Time 0.758 (0.748)	Data 0.001 (0.001)	Loss 2.8731 (2.8319)	Prec@1 35.938 (32.993)	Prec@5 54.688 (63.095)
Epoch: [6][6930/14090]	Time 0.725 (0.748)	Data 0.001 (0.001)	Loss 3.0818 (2.8319)	Prec@1 25.781 (32.991)	Prec@5 53.906 (63.091)
Epoch: [6][6940/14090]	Time 0.774 (0.748)	Data 0.002 (0.001)	Loss 2.8072 (2.8320)	Prec@1 34.375 (32.991)	Prec@5 63.281 (63.090)
Epoch: [6][6950/14090]	Time 0.771 (0.748)	Data 0.001 (0.001)	Loss 2.9170 (2.8319)	Prec@1 32.812 (32.991)	Prec@5 61.719 (63.091)
Epoch: [6][6960/14090]	Time 0.742 (0.748)	Data 0.001 (0.001)	Loss 2.8039 (2.8320)	Prec@1 32.812 (32.988)	Prec@5 64.844 (63.092)
Epoch: [6][6970/14090]	Time 0.757 (0.748)	Data 0.001 (0.001)	Loss 2.8405 (2.8321)	Prec@1 29.688 (32.988)	Prec@5 61.719 (63.090)
Epoch: [6][6980/14090]	Time 0.741 (0.748)	Data 0.001 (0.001)	Loss 3.0467 (2.8322)	Prec@1 28.125 (32.987)	Prec@5 58.594 (63.088)
Epoch: [6][6990/14090]	Time 0.776 (0.748)	Data 0.001 (0.001)	Loss 2.5603 (2.8320)	Prec@1 31.250 (32.988)	Prec@5 71.875 (63.091)
Epoch: [6][7000/14090]	Time 0.733 (0.748)	Data 0.001 (0.001)	Loss 2.8312 (2.8321)	Prec@1 35.156 (32.986)	Prec@5 67.969 (63.092)
Epoch: [6][7010/14090]	Time 0.752 (0.748)	Data 0.002 (0.001)	Loss 2.7149 (2.8320)	Prec@1 37.500 (32.990)	Prec@5 67.969 (63.095)
Epoch: [6][7020/14090]	Time 0.753 (0.748)	Data 0.001 (0.001)	Loss 2.6640 (2.8320)	Prec@1 32.031 (32.988)	Prec@5 68.750 (63.094)
Epoch: [6][7030/14090]	Time 0.751 (0.748)	Data 0.001 (0.001)	Loss 2.6641 (2.8319)	Prec@1 37.500 (32.990)	Prec@5 65.625 (63.095)
Epoch: [6][7040/14090]	Time 0.771 (0.748)	Data 0.001 (0.001)	Loss 2.9156 (2.8320)	Prec@1 32.812 (32.988)	Prec@5 61.719 (63.093)
Epoch: [6][7050/14090]	Time 0.736 (0.748)	Data 0.001 (0.001)	Loss 2.8952 (2.8319)	Prec@1 32.812 (32.990)	Prec@5 60.156 (63.094)
Epoch: [6][7060/14090]	Time 0.729 (0.748)	Data 0.001 (0.001)	Loss 2.8086 (2.8319)	Prec@1 28.125 (32.989)	Prec@5 71.094 (63.093)
Epoch: [6][7070/14090]	Time 0.752 (0.748)	Data 0.001 (0.001)	Loss 2.9898 (2.8321)	Prec@1 30.469 (32.988)	Prec@5 59.375 (63.091)
Epoch: [6][7080/14090]	Time 0.753 (0.748)	Data 0.002 (0.001)	Loss 2.9487 (2.8320)	Prec@1 32.031 (32.988)	Prec@5 59.375 (63.091)
Epoch: [6][7090/14090]	Time 0.772 (0.748)	Data 0.001 (0.001)	Loss 2.6013 (2.8320)	Prec@1 29.688 (32.986)	Prec@5 67.188 (63.090)
Epoch: [6][7100/14090]	Time 0.753 (0.748)	Data 0.001 (0.001)	Loss 2.8898 (2.8320)	Prec@1 32.031 (32.988)	Prec@5 59.375 (63.090)
Epoch: [6][7110/14090]	Time 0.722 (0.748)	Data 0.001 (0.001)	Loss 2.6380 (2.8319)	Prec@1 36.719 (32.992)	Prec@5 67.969 (63.092)
Epoch: [6][7120/14090]	Time 0.724 (0.748)	Data 0.001 (0.001)	Loss 3.0227 (2.8318)	Prec@1 27.344 (32.993)	Prec@5 60.938 (63.094)
Epoch: [6][7130/14090]	Time 0.752 (0.748)	Data 0.001 (0.001)	Loss 2.8567 (2.8318)	Prec@1 35.938 (32.991)	Prec@5 64.062 (63.092)
Epoch: [6][7140/14090]	Time 0.747 (0.748)	Data 0.001 (0.001)	Loss 3.1284 (2.8318)	Prec@1 31.250 (32.990)	Prec@5 60.938 (63.092)
Epoch: [6][7150/14090]	Time 0.767 (0.748)	Data 0.002 (0.001)	Loss 2.9466 (2.8318)	Prec@1 28.125 (32.992)	Prec@5 57.812 (63.090)
Epoch: [6][7160/14090]	Time 0.727 (0.748)	Data 0.001 (0.001)	Loss 2.7858 (2.8317)	Prec@1 37.500 (32.994)	Prec@5 64.844 (63.091)
Epoch: [6][7170/14090]	Time 0.754 (0.748)	Data 0.001 (0.001)	Loss 2.6059 (2.8316)	Prec@1 32.812 (32.997)	Prec@5 62.500 (63.091)
Epoch: [6][7180/14090]	Time 0.750 (0.748)	Data 0.001 (0.001)	Loss 2.8775 (2.8316)	Prec@1 31.250 (32.996)	Prec@5 61.719 (63.091)
Epoch: [6][7190/14090]	Time 0.754 (0.748)	Data 0.001 (0.001)	Loss 2.8912 (2.8317)	Prec@1 34.375 (32.993)	Prec@5 64.844 (63.089)
Epoch: [6][7200/14090]	Time 0.726 (0.748)	Data 0.001 (0.001)	Loss 2.8196 (2.8316)	Prec@1 30.469 (32.993)	Prec@5 65.625 (63.091)
Epoch: [6][7210/14090]	Time 0.743 (0.748)	Data 0.001 (0.001)	Loss 2.8484 (2.8316)	Prec@1 34.375 (32.997)	Prec@5 60.938 (63.091)
Epoch: [6][7220/14090]	Time 0.769 (0.748)	Data 0.002 (0.001)	Loss 2.7761 (2.8316)	Prec@1 36.719 (32.995)	Prec@5 64.062 (63.091)
Epoch: [6][7230/14090]	Time 0.769 (0.748)	Data 0.001 (0.001)	Loss 2.9808 (2.8318)	Prec@1 29.688 (32.992)	Prec@5 57.812 (63.087)
Epoch: [6][7240/14090]	Time 0.725 (0.748)	Data 0.001 (0.001)	Loss 2.5452 (2.8317)	Prec@1 36.719 (32.995)	Prec@5 69.531 (63.090)
Epoch: [6][7250/14090]	Time 0.727 (0.748)	Data 0.001 (0.001)	Loss 2.5898 (2.8316)	Prec@1 33.594 (32.995)	Prec@5 67.188 (63.091)
Epoch: [6][7260/14090]	Time 0.762 (0.748)	Data 0.001 (0.001)	Loss 2.9055 (2.8316)	Prec@1 32.031 (32.994)	Prec@5 59.375 (63.091)
Epoch: [6][7270/14090]	Time 0.722 (0.748)	Data 0.001 (0.001)	Loss 2.7282 (2.8317)	Prec@1 35.156 (32.993)	Prec@5 67.969 (63.088)
Epoch: [6][7280/14090]	Time 0.745 (0.748)	Data 0.001 (0.001)	Loss 2.7681 (2.8318)	Prec@1 33.594 (32.992)	Prec@5 63.281 (63.086)
Epoch: [6][7290/14090]	Time 0.729 (0.748)	Data 0.002 (0.001)	Loss 2.3899 (2.8318)	Prec@1 39.844 (32.992)	Prec@5 71.875 (63.087)
Epoch: [6][7300/14090]	Time 0.736 (0.748)	Data 0.001 (0.001)	Loss 2.9036 (2.8318)	Prec@1 30.469 (32.993)	Prec@5 60.938 (63.088)
Epoch: [6][7310/14090]	Time 0.750 (0.748)	Data 0.001 (0.001)	Loss 2.6772 (2.8318)	Prec@1 36.719 (32.992)	Prec@5 71.094 (63.087)
Epoch: [6][7320/14090]	Time 0.737 (0.748)	Data 0.001 (0.001)	Loss 2.9699 (2.8320)	Prec@1 38.281 (32.992)	Prec@5 59.375 (63.083)
Epoch: [6][7330/14090]	Time 0.764 (0.748)	Data 0.001 (0.001)	Loss 2.4664 (2.8319)	Prec@1 48.438 (32.995)	Prec@5 71.094 (63.084)
Epoch: [6][7340/14090]	Time 0.736 (0.748)	Data 0.001 (0.001)	Loss 2.7930 (2.8320)	Prec@1 35.156 (32.993)	Prec@5 60.156 (63.083)
Epoch: [6][7350/14090]	Time 0.757 (0.748)	Data 0.001 (0.001)	Loss 2.6985 (2.8320)	Prec@1 32.031 (32.994)	Prec@5 64.062 (63.083)
Epoch: [6][7360/14090]	Time 0.768 (0.748)	Data 0.002 (0.001)	Loss 2.8804 (2.8321)	Prec@1 32.031 (32.991)	Prec@5 67.188 (63.081)
Epoch: [6][7370/14090]	Time 0.721 (0.748)	Data 0.001 (0.001)	Loss 2.7058 (2.8320)	Prec@1 35.938 (32.994)	Prec@5 63.281 (63.081)
Epoch: [6][7380/14090]	Time 0.749 (0.748)	Data 0.001 (0.001)	Loss 2.8565 (2.8320)	Prec@1 32.812 (32.994)	Prec@5 60.938 (63.081)
Epoch: [6][7390/14090]	Time 0.741 (0.748)	Data 0.001 (0.001)	Loss 2.9933 (2.8320)	Prec@1 29.688 (32.997)	Prec@5 57.031 (63.081)
Epoch: [6][7400/14090]	Time 0.742 (0.748)	Data 0.001 (0.001)	Loss 2.5177 (2.8319)	Prec@1 39.062 (32.997)	Prec@5 68.750 (63.082)
Epoch: [6][7410/14090]	Time 0.781 (0.748)	Data 0.001 (0.001)	Loss 2.8017 (2.8320)	Prec@1 34.375 (32.994)	Prec@5 61.719 (63.081)
Epoch: [6][7420/14090]	Time 0.727 (0.748)	Data 0.001 (0.001)	Loss 3.0865 (2.8320)	Prec@1 33.594 (32.995)	Prec@5 60.938 (63.082)
Epoch: [6][7430/14090]	Time 0.751 (0.748)	Data 0.002 (0.001)	Loss 3.0841 (2.8321)	Prec@1 27.344 (32.995)	Prec@5 60.938 (63.081)
Epoch: [6][7440/14090]	Time 0.765 (0.748)	Data 0.001 (0.001)	Loss 2.5839 (2.8321)	Prec@1 41.406 (32.997)	Prec@5 69.531 (63.082)
Epoch: [6][7450/14090]	Time 0.745 (0.748)	Data 0.001 (0.001)	Loss 2.7369 (2.8320)	Prec@1 35.938 (33.001)	Prec@5 63.281 (63.084)
Epoch: [6][7460/14090]	Time 0.726 (0.748)	Data 0.001 (0.001)	Loss 2.7682 (2.8319)	Prec@1 34.375 (33.001)	Prec@5 67.188 (63.085)
Epoch: [6][7470/14090]	Time 0.756 (0.748)	Data 0.001 (0.001)	Loss 2.7482 (2.8318)	Prec@1 36.719 (33.001)	Prec@5 67.188 (63.090)
Epoch: [6][7480/14090]	Time 0.738 (0.748)	Data 0.001 (0.001)	Loss 2.6877 (2.8320)	Prec@1 32.812 (32.998)	Prec@5 67.188 (63.087)
Epoch: [6][7490/14090]	Time 0.763 (0.748)	Data 0.001 (0.001)	Loss 2.9070 (2.8320)	Prec@1 26.562 (32.995)	Prec@5 57.812 (63.085)
Epoch: [6][7500/14090]	Time 0.743 (0.748)	Data 0.002 (0.001)	Loss 2.8088 (2.8321)	Prec@1 33.594 (32.994)	Prec@5 60.938 (63.085)
Epoch: [6][7510/14090]	Time 0.763 (0.748)	Data 0.001 (0.001)	Loss 2.7658 (2.8320)	Prec@1 32.812 (32.992)	Prec@5 65.625 (63.086)
Epoch: [6][7520/14090]	Time 0.776 (0.748)	Data 0.001 (0.001)	Loss 2.6530 (2.8320)	Prec@1 32.812 (32.989)	Prec@5 67.969 (63.087)
Epoch: [6][7530/14090]	Time 0.757 (0.748)	Data 0.001 (0.001)	Loss 2.7867 (2.8320)	Prec@1 31.250 (32.991)	Prec@5 64.062 (63.088)
Epoch: [6][7540/14090]	Time 0.754 (0.748)	Data 0.001 (0.001)	Loss 2.7695 (2.8320)	Prec@1 31.250 (32.989)	Prec@5 62.500 (63.088)
Epoch: [6][7550/14090]	Time 0.731 (0.748)	Data 0.001 (0.001)	Loss 2.9364 (2.8321)	Prec@1 31.250 (32.987)	Prec@5 63.281 (63.089)
Epoch: [6][7560/14090]	Time 0.736 (0.748)	Data 0.001 (0.001)	Loss 2.9774 (2.8321)	Prec@1 22.656 (32.985)	Prec@5 64.062 (63.089)
Epoch: [6][7570/14090]	Time 0.724 (0.748)	Data 0.002 (0.001)	Loss 2.8627 (2.8320)	Prec@1 32.812 (32.989)	Prec@5 60.156 (63.091)
Epoch: [6][7580/14090]	Time 0.765 (0.748)	Data 0.001 (0.001)	Loss 2.7582 (2.8320)	Prec@1 25.781 (32.988)	Prec@5 67.188 (63.092)
Epoch: [6][7590/14090]	Time 0.728 (0.748)	Data 0.001 (0.001)	Loss 2.7552 (2.8321)	Prec@1 35.938 (32.987)	Prec@5 67.188 (63.091)
Epoch: [6][7600/14090]	Time 0.737 (0.748)	Data 0.001 (0.001)	Loss 2.9768 (2.8322)	Prec@1 28.906 (32.985)	Prec@5 60.938 (63.089)
Epoch: [6][7610/14090]	Time 0.741 (0.748)	Data 0.001 (0.001)	Loss 2.8806 (2.8323)	Prec@1 28.906 (32.984)	Prec@5 58.594 (63.088)
Epoch: [6][7620/14090]	Time 0.759 (0.748)	Data 0.001 (0.001)	Loss 2.5906 (2.8322)	Prec@1 36.719 (32.986)	Prec@5 71.094 (63.090)
Epoch: [6][7630/14090]	Time 0.746 (0.748)	Data 0.001 (0.001)	Loss 2.9131 (2.8323)	Prec@1 32.812 (32.985)	Prec@5 58.594 (63.086)
Epoch: [6][7640/14090]	Time 0.737 (0.748)	Data 0.002 (0.001)	Loss 2.7438 (2.8323)	Prec@1 37.500 (32.986)	Prec@5 66.406 (63.086)
Epoch: [6][7650/14090]	Time 0.757 (0.748)	Data 0.001 (0.001)	Loss 2.6597 (2.8323)	Prec@1 36.719 (32.988)	Prec@5 67.969 (63.086)
Epoch: [6][7660/14090]	Time 0.724 (0.748)	Data 0.001 (0.001)	Loss 2.5101 (2.8323)	Prec@1 39.844 (32.990)	Prec@5 66.406 (63.087)
Epoch: [6][7670/14090]	Time 0.755 (0.748)	Data 0.001 (0.001)	Loss 2.6798 (2.8323)	Prec@1 32.031 (32.991)	Prec@5 67.969 (63.087)
Epoch: [6][7680/14090]	Time 0.724 (0.748)	Data 0.001 (0.001)	Loss 2.6818 (2.8322)	Prec@1 36.719 (32.993)	Prec@5 67.969 (63.088)
Epoch: [6][7690/14090]	Time 0.768 (0.748)	Data 0.001 (0.001)	Loss 2.5610 (2.8322)	Prec@1 40.625 (32.995)	Prec@5 66.406 (63.089)
Epoch: [6][7700/14090]	Time 0.755 (0.748)	Data 0.001 (0.001)	Loss 2.6673 (2.8322)	Prec@1 36.719 (32.995)	Prec@5 67.188 (63.090)
Epoch: [6][7710/14090]	Time 0.755 (0.748)	Data 0.002 (0.001)	Loss 2.7250 (2.8323)	Prec@1 28.125 (32.992)	Prec@5 66.406 (63.089)
Epoch: [6][7720/14090]	Time 0.752 (0.748)	Data 0.001 (0.001)	Loss 2.8662 (2.8323)	Prec@1 27.344 (32.989)	Prec@5 59.375 (63.087)
Epoch: [6][7730/14090]	Time 0.754 (0.748)	Data 0.001 (0.001)	Loss 2.9788 (2.8323)	Prec@1 23.438 (32.990)	Prec@5 62.500 (63.092)
Epoch: [6][7740/14090]	Time 0.753 (0.748)	Data 0.001 (0.001)	Loss 2.7968 (2.8323)	Prec@1 32.812 (32.990)	Prec@5 60.938 (63.093)
Epoch: [6][7750/14090]	Time 0.755 (0.748)	Data 0.001 (0.001)	Loss 3.0581 (2.8323)	Prec@1 32.812 (32.988)	Prec@5 60.938 (63.093)
Epoch: [6][7760/14090]	Time 0.728 (0.748)	Data 0.001 (0.001)	Loss 2.5880 (2.8323)	Prec@1 39.062 (32.988)	Prec@5 67.969 (63.094)
Epoch: [6][7770/14090]	Time 0.742 (0.748)	Data 0.001 (0.001)	Loss 3.1635 (2.8323)	Prec@1 30.469 (32.989)	Prec@5 55.469 (63.096)
Epoch: [6][7780/14090]	Time 0.750 (0.748)	Data 0.002 (0.001)	Loss 2.9860 (2.8323)	Prec@1 28.125 (32.989)	Prec@5 64.844 (63.097)
Epoch: [6][7790/14090]	Time 0.758 (0.748)	Data 0.001 (0.001)	Loss 2.9494 (2.8323)	Prec@1 27.344 (32.989)	Prec@5 61.719 (63.097)
Epoch: [6][7800/14090]	Time 0.742 (0.748)	Data 0.001 (0.001)	Loss 2.7789 (2.8322)	Prec@1 40.625 (32.990)	Prec@5 62.500 (63.100)
Epoch: [6][7810/14090]	Time 0.745 (0.748)	Data 0.001 (0.001)	Loss 2.8969 (2.8321)	Prec@1 26.562 (32.991)	Prec@5 63.281 (63.103)
Epoch: [6][7820/14090]	Time 0.726 (0.748)	Data 0.001 (0.001)	Loss 2.8429 (2.8322)	Prec@1 32.031 (32.990)	Prec@5 58.594 (63.099)
Epoch: [6][7830/14090]	Time 0.760 (0.748)	Data 0.001 (0.001)	Loss 2.6168 (2.8322)	Prec@1 33.594 (32.989)	Prec@5 67.188 (63.100)
Epoch: [6][7840/14090]	Time 0.761 (0.748)	Data 0.001 (0.001)	Loss 2.7079 (2.8321)	Prec@1 39.844 (32.990)	Prec@5 64.844 (63.100)
Epoch: [6][7850/14090]	Time 0.742 (0.748)	Data 0.002 (0.001)	Loss 2.9439 (2.8321)	Prec@1 29.688 (32.990)	Prec@5 61.719 (63.101)
Epoch: [6][7860/14090]	Time 0.754 (0.748)	Data 0.001 (0.001)	Loss 2.8850 (2.8320)	Prec@1 32.812 (32.989)	Prec@5 63.281 (63.103)
Epoch: [6][7870/14090]	Time 0.761 (0.748)	Data 0.001 (0.001)	Loss 3.3458 (2.8320)	Prec@1 24.219 (32.989)	Prec@5 51.562 (63.104)
Epoch: [6][7880/14090]	Time 0.750 (0.748)	Data 0.001 (0.001)	Loss 3.0039 (2.8321)	Prec@1 30.469 (32.988)	Prec@5 59.375 (63.102)
Epoch: [6][7890/14090]	Time 0.753 (0.748)	Data 0.001 (0.001)	Loss 3.1630 (2.8322)	Prec@1 31.250 (32.987)	Prec@5 56.250 (63.099)
Epoch: [6][7900/14090]	Time 0.737 (0.748)	Data 0.001 (0.001)	Loss 2.4267 (2.8322)	Prec@1 44.531 (32.986)	Prec@5 70.312 (63.098)
Epoch: [6][7910/14090]	Time 0.764 (0.748)	Data 0.001 (0.001)	Loss 2.6620 (2.8322)	Prec@1 33.594 (32.986)	Prec@5 64.844 (63.099)
Epoch: [6][7920/14090]	Time 0.745 (0.748)	Data 0.002 (0.001)	Loss 2.8671 (2.8322)	Prec@1 32.031 (32.987)	Prec@5 64.844 (63.100)
Epoch: [6][7930/14090]	Time 0.752 (0.748)	Data 0.001 (0.001)	Loss 2.5946 (2.8321)	Prec@1 35.156 (32.986)	Prec@5 65.625 (63.104)
Epoch: [6][7940/14090]	Time 0.728 (0.748)	Data 0.001 (0.001)	Loss 3.0124 (2.8321)	Prec@1 30.469 (32.985)	Prec@5 55.469 (63.105)
Epoch: [6][7950/14090]	Time 0.735 (0.748)	Data 0.001 (0.001)	Loss 2.6993 (2.8321)	Prec@1 38.281 (32.985)	Prec@5 64.062 (63.105)
Epoch: [6][7960/14090]	Time 0.735 (0.748)	Data 0.001 (0.001)	Loss 2.7596 (2.8321)	Prec@1 36.719 (32.986)	Prec@5 67.969 (63.105)
Epoch: [6][7970/14090]	Time 0.746 (0.748)	Data 0.001 (0.001)	Loss 2.8400 (2.8321)	Prec@1 39.844 (32.986)	Prec@5 64.062 (63.108)
Epoch: [6][7980/14090]	Time 0.757 (0.748)	Data 0.001 (0.001)	Loss 2.6412 (2.8320)	Prec@1 35.156 (32.986)	Prec@5 67.188 (63.108)
Epoch: [6][7990/14090]	Time 0.745 (0.748)	Data 0.002 (0.001)	Loss 2.7284 (2.8320)	Prec@1 35.938 (32.987)	Prec@5 64.062 (63.109)
Epoch: [6][8000/14090]	Time 0.747 (0.748)	Data 0.001 (0.001)	Loss 2.7063 (2.8318)	Prec@1 32.812 (32.989)	Prec@5 66.406 (63.111)
Epoch: [6][8010/14090]	Time 0.749 (0.748)	Data 0.001 (0.001)	Loss 2.8756 (2.8319)	Prec@1 30.469 (32.988)	Prec@5 63.281 (63.110)
Epoch: [6][8020/14090]	Time 0.757 (0.748)	Data 0.001 (0.001)	Loss 2.8880 (2.8318)	Prec@1 33.594 (32.990)	Prec@5 60.938 (63.111)
Epoch: [6][8030/14090]	Time 0.735 (0.748)	Data 0.001 (0.001)	Loss 2.6720 (2.8318)	Prec@1 42.188 (32.991)	Prec@5 65.625 (63.112)
Epoch: [6][8040/14090]	Time 0.764 (0.748)	Data 0.001 (0.001)	Loss 2.8050 (2.8318)	Prec@1 35.156 (32.991)	Prec@5 61.719 (63.111)
Epoch: [6][8050/14090]	Time 0.737 (0.748)	Data 0.001 (0.001)	Loss 2.8105 (2.8317)	Prec@1 35.156 (32.991)	Prec@5 61.719 (63.112)
Epoch: [6][8060/14090]	Time 0.742 (0.748)	Data 0.002 (0.001)	Loss 2.8415 (2.8318)	Prec@1 35.938 (32.990)	Prec@5 60.938 (63.110)
Epoch: [6][8070/14090]	Time 0.760 (0.748)	Data 0.001 (0.001)	Loss 2.5623 (2.8317)	Prec@1 34.375 (32.989)	Prec@5 64.062 (63.111)
Epoch: [6][8080/14090]	Time 0.753 (0.748)	Data 0.001 (0.001)	Loss 3.0658 (2.8317)	Prec@1 30.469 (32.991)	Prec@5 60.156 (63.113)
Epoch: [6][8090/14090]	Time 0.774 (0.748)	Data 0.001 (0.001)	Loss 3.0356 (2.8317)	Prec@1 36.719 (32.992)	Prec@5 58.594 (63.114)
Epoch: [6][8100/14090]	Time 0.737 (0.748)	Data 0.001 (0.001)	Loss 2.9574 (2.8317)	Prec@1 27.344 (32.990)	Prec@5 64.844 (63.115)
Epoch: [6][8110/14090]	Time 0.735 (0.748)	Data 0.001 (0.001)	Loss 2.8534 (2.8318)	Prec@1 33.594 (32.989)	Prec@5 62.500 (63.114)
Epoch: [6][8120/14090]	Time 0.759 (0.748)	Data 0.001 (0.001)	Loss 3.0735 (2.8319)	Prec@1 28.125 (32.986)	Prec@5 60.938 (63.113)
Epoch: [6][8130/14090]	Time 0.748 (0.748)	Data 0.002 (0.001)	Loss 2.9964 (2.8319)	Prec@1 28.906 (32.986)	Prec@5 55.469 (63.112)
Epoch: [6][8140/14090]	Time 0.751 (0.748)	Data 0.001 (0.001)	Loss 3.0526 (2.8319)	Prec@1 26.562 (32.984)	Prec@5 59.375 (63.112)
Epoch: [6][8150/14090]	Time 0.752 (0.748)	Data 0.001 (0.001)	Loss 2.9885 (2.8320)	Prec@1 26.562 (32.983)	Prec@5 64.062 (63.112)
Epoch: [6][8160/14090]	Time 0.772 (0.748)	Data 0.001 (0.001)	Loss 2.3593 (2.8319)	Prec@1 43.750 (32.985)	Prec@5 73.438 (63.115)
Epoch: [6][8170/14090]	Time 0.735 (0.748)	Data 0.001 (0.001)	Loss 2.9688 (2.8320)	Prec@1 28.125 (32.982)	Prec@5 59.375 (63.110)
Epoch: [6][8180/14090]	Time 0.755 (0.748)	Data 0.001 (0.001)	Loss 2.8342 (2.8320)	Prec@1 37.500 (32.984)	Prec@5 60.938 (63.112)
Epoch: [6][8190/14090]	Time 0.752 (0.748)	Data 0.001 (0.001)	Loss 2.9512 (2.8321)	Prec@1 30.469 (32.984)	Prec@5 65.625 (63.110)
Epoch: [6][8200/14090]	Time 0.733 (0.748)	Data 0.002 (0.001)	Loss 2.8123 (2.8322)	Prec@1 36.719 (32.982)	Prec@5 62.500 (63.109)
Epoch: [6][8210/14090]	Time 0.756 (0.748)	Data 0.001 (0.001)	Loss 2.6432 (2.8322)	Prec@1 35.938 (32.981)	Prec@5 67.188 (63.110)
Epoch: [6][8220/14090]	Time 0.735 (0.748)	Data 0.001 (0.001)	Loss 2.7332 (2.8322)	Prec@1 30.469 (32.981)	Prec@5 60.156 (63.109)
Epoch: [6][8230/14090]	Time 0.731 (0.748)	Data 0.001 (0.001)	Loss 2.9275 (2.8322)	Prec@1 32.812 (32.980)	Prec@5 56.250 (63.109)
Epoch: [6][8240/14090]	Time 0.758 (0.748)	Data 0.001 (0.001)	Loss 3.0026 (2.8323)	Prec@1 30.469 (32.978)	Prec@5 55.469 (63.105)
Epoch: [6][8250/14090]	Time 0.734 (0.748)	Data 0.001 (0.001)	Loss 2.6540 (2.8322)	Prec@1 33.594 (32.979)	Prec@5 67.188 (63.106)
Epoch: [6][8260/14090]	Time 0.739 (0.748)	Data 0.001 (0.001)	Loss 2.7430 (2.8322)	Prec@1 32.031 (32.981)	Prec@5 68.750 (63.107)
Epoch: [6][8270/14090]	Time 0.735 (0.748)	Data 0.002 (0.001)	Loss 2.8293 (2.8322)	Prec@1 39.844 (32.980)	Prec@5 61.719 (63.107)
Epoch: [6][8280/14090]	Time 0.729 (0.748)	Data 0.001 (0.001)	Loss 2.7564 (2.8321)	Prec@1 32.031 (32.983)	Prec@5 67.969 (63.109)
Epoch: [6][8290/14090]	Time 0.741 (0.748)	Data 0.001 (0.001)	Loss 2.7129 (2.8321)	Prec@1 36.719 (32.984)	Prec@5 66.406 (63.109)
Epoch: [6][8300/14090]	Time 0.778 (0.748)	Data 0.001 (0.001)	Loss 2.7179 (2.8320)	Prec@1 34.375 (32.988)	Prec@5 67.969 (63.112)
Epoch: [6][8310/14090]	Time 0.738 (0.748)	Data 0.001 (0.001)	Loss 3.0486 (2.8320)	Prec@1 30.469 (32.988)	Prec@5 60.938 (63.111)
Epoch: [6][8320/14090]	Time 0.753 (0.748)	Data 0.001 (0.001)	Loss 3.2488 (2.8321)	Prec@1 25.781 (32.988)	Prec@5 56.250 (63.111)
Epoch: [6][8330/14090]	Time 0.737 (0.748)	Data 0.001 (0.001)	Loss 2.6045 (2.8320)	Prec@1 36.719 (32.989)	Prec@5 67.969 (63.113)
Epoch: [6][8340/14090]	Time 0.750 (0.748)	Data 0.002 (0.001)	Loss 3.1750 (2.8321)	Prec@1 24.219 (32.987)	Prec@5 53.906 (63.111)
Epoch: [6][8350/14090]	Time 0.731 (0.748)	Data 0.001 (0.001)	Loss 2.6913 (2.8321)	Prec@1 26.562 (32.987)	Prec@5 64.062 (63.111)
Epoch: [6][8360/14090]	Time 0.733 (0.748)	Data 0.001 (0.001)	Loss 2.7912 (2.8321)	Prec@1 30.469 (32.987)	Prec@5 67.188 (63.108)
Epoch: [6][8370/14090]	Time 0.757 (0.748)	Data 0.001 (0.001)	Loss 2.7227 (2.8321)	Prec@1 37.500 (32.988)	Prec@5 61.719 (63.110)
Epoch: [6][8380/14090]	Time 0.752 (0.748)	Data 0.001 (0.001)	Loss 2.8717 (2.8320)	Prec@1 35.156 (32.989)	Prec@5 60.156 (63.111)
Epoch: [6][8390/14090]	Time 0.745 (0.748)	Data 0.001 (0.001)	Loss 2.9701 (2.8319)	Prec@1 28.906 (32.990)	Prec@5 60.156 (63.112)
Epoch: [6][8400/14090]	Time 0.774 (0.748)	Data 0.001 (0.001)	Loss 2.9725 (2.8319)	Prec@1 29.688 (32.989)	Prec@5 59.375 (63.111)
Epoch: [6][8410/14090]	Time 0.756 (0.748)	Data 0.002 (0.001)	Loss 2.9297 (2.8320)	Prec@1 32.031 (32.989)	Prec@5 60.156 (63.110)
Epoch: [6][8420/14090]	Time 0.741 (0.748)	Data 0.001 (0.001)	Loss 2.9683 (2.8320)	Prec@1 27.344 (32.987)	Prec@5 57.812 (63.108)
Epoch: [6][8430/14090]	Time 0.756 (0.748)	Data 0.001 (0.001)	Loss 2.7993 (2.8320)	Prec@1 25.781 (32.984)	Prec@5 68.750 (63.109)
Epoch: [6][8440/14090]	Time 0.753 (0.748)	Data 0.001 (0.001)	Loss 2.6422 (2.8321)	Prec@1 40.625 (32.982)	Prec@5 61.719 (63.108)
Epoch: [6][8450/14090]	Time 0.727 (0.748)	Data 0.001 (0.001)	Loss 3.1632 (2.8321)	Prec@1 23.438 (32.982)	Prec@5 53.125 (63.109)
Epoch: [6][8460/14090]	Time 0.748 (0.748)	Data 0.001 (0.001)	Loss 2.8910 (2.8320)	Prec@1 37.500 (32.982)	Prec@5 60.156 (63.111)
Epoch: [6][8470/14090]	Time 0.763 (0.748)	Data 0.001 (0.001)	Loss 3.0903 (2.8320)	Prec@1 28.125 (32.982)	Prec@5 55.469 (63.110)
Epoch: [6][8480/14090]	Time 0.761 (0.748)	Data 0.002 (0.001)	Loss 2.8974 (2.8318)	Prec@1 32.031 (32.987)	Prec@5 67.188 (63.114)
Epoch: [6][8490/14090]	Time 0.751 (0.748)	Data 0.001 (0.001)	Loss 2.8421 (2.8319)	Prec@1 37.500 (32.985)	Prec@5 64.062 (63.112)
Epoch: [6][8500/14090]	Time 0.729 (0.748)	Data 0.001 (0.001)	Loss 3.1392 (2.8319)	Prec@1 28.125 (32.985)	Prec@5 56.250 (63.112)
Epoch: [6][8510/14090]	Time 0.750 (0.748)	Data 0.001 (0.001)	Loss 2.9094 (2.8318)	Prec@1 39.844 (32.988)	Prec@5 60.938 (63.112)
Epoch: [6][8520/14090]	Time 0.753 (0.748)	Data 0.001 (0.001)	Loss 2.8580 (2.8318)	Prec@1 34.375 (32.987)	Prec@5 59.375 (63.113)
Epoch: [6][8530/14090]	Time 0.736 (0.748)	Data 0.001 (0.001)	Loss 3.0694 (2.8317)	Prec@1 27.344 (32.988)	Prec@5 56.250 (63.115)
Epoch: [6][8540/14090]	Time 0.744 (0.748)	Data 0.001 (0.001)	Loss 2.9902 (2.8317)	Prec@1 28.125 (32.988)	Prec@5 60.156 (63.117)
Epoch: [6][8550/14090]	Time 0.752 (0.748)	Data 0.002 (0.001)	Loss 3.0759 (2.8318)	Prec@1 25.781 (32.985)	Prec@5 50.781 (63.113)
Epoch: [6][8560/14090]	Time 0.743 (0.748)	Data 0.001 (0.001)	Loss 2.9515 (2.8318)	Prec@1 34.375 (32.985)	Prec@5 61.719 (63.115)
Epoch: [6][8570/14090]	Time 0.755 (0.748)	Data 0.001 (0.001)	Loss 2.8822 (2.8317)	Prec@1 32.031 (32.986)	Prec@5 62.500 (63.116)
Epoch: [6][8580/14090]	Time 0.743 (0.748)	Data 0.001 (0.001)	Loss 2.7847 (2.8317)	Prec@1 39.062 (32.986)	Prec@5 64.844 (63.115)
Epoch: [6][8590/14090]	Time 0.755 (0.748)	Data 0.001 (0.001)	Loss 2.7792 (2.8317)	Prec@1 28.125 (32.985)	Prec@5 63.281 (63.116)
Epoch: [6][8600/14090]	Time 0.752 (0.748)	Data 0.001 (0.001)	Loss 3.1054 (2.8317)	Prec@1 26.562 (32.985)	Prec@5 60.938 (63.117)
Epoch: [6][8610/14090]	Time 0.774 (0.748)	Data 0.001 (0.001)	Loss 3.0263 (2.8318)	Prec@1 30.469 (32.986)	Prec@5 60.156 (63.116)
Epoch: [6][8620/14090]	Time 0.725 (0.748)	Data 0.002 (0.001)	Loss 2.9323 (2.8318)	Prec@1 35.156 (32.987)	Prec@5 58.594 (63.117)
Epoch: [6][8630/14090]	Time 0.769 (0.748)	Data 0.001 (0.001)	Loss 3.0065 (2.8318)	Prec@1 26.562 (32.985)	Prec@5 59.375 (63.117)
Epoch: [6][8640/14090]	Time 0.729 (0.748)	Data 0.001 (0.001)	Loss 2.8385 (2.8318)	Prec@1 30.469 (32.985)	Prec@5 64.062 (63.117)
Epoch: [6][8650/14090]	Time 0.742 (0.748)	Data 0.001 (0.001)	Loss 2.7257 (2.8317)	Prec@1 39.062 (32.987)	Prec@5 67.188 (63.120)
Epoch: [6][8660/14090]	Time 0.738 (0.748)	Data 0.001 (0.001)	Loss 2.7457 (2.8316)	Prec@1 36.719 (32.988)	Prec@5 61.719 (63.120)
Epoch: [6][8670/14090]	Time 0.775 (0.748)	Data 0.001 (0.001)	Loss 2.5463 (2.8315)	Prec@1 41.406 (32.989)	Prec@5 68.750 (63.120)
Epoch: [6][8680/14090]	Time 0.762 (0.748)	Data 0.001 (0.001)	Loss 2.5523 (2.8316)	Prec@1 39.062 (32.988)	Prec@5 68.750 (63.118)
Epoch: [6][8690/14090]	Time 0.736 (0.748)	Data 0.002 (0.001)	Loss 2.5989 (2.8315)	Prec@1 39.844 (32.990)	Prec@5 67.969 (63.120)
Epoch: [6][8700/14090]	Time 0.752 (0.748)	Data 0.001 (0.001)	Loss 2.8177 (2.8315)	Prec@1 31.250 (32.992)	Prec@5 60.938 (63.119)
Epoch: [6][8710/14090]	Time 0.731 (0.748)	Data 0.001 (0.001)	Loss 3.1206 (2.8316)	Prec@1 29.688 (32.990)	Prec@5 52.344 (63.117)
Epoch: [6][8720/14090]	Time 0.731 (0.748)	Data 0.001 (0.001)	Loss 2.7077 (2.8316)	Prec@1 29.688 (32.989)	Prec@5 65.625 (63.117)
Epoch: [6][8730/14090]	Time 0.748 (0.748)	Data 0.001 (0.001)	Loss 2.7988 (2.8315)	Prec@1 35.938 (32.990)	Prec@5 60.156 (63.116)
Epoch: [6][8740/14090]	Time 0.740 (0.748)	Data 0.001 (0.001)	Loss 2.8679 (2.8316)	Prec@1 29.688 (32.988)	Prec@5 59.375 (63.117)
Epoch: [6][8750/14090]	Time 0.756 (0.748)	Data 0.001 (0.001)	Loss 2.7807 (2.8316)	Prec@1 33.594 (32.988)	Prec@5 64.062 (63.119)
Epoch: [6][8760/14090]	Time 0.762 (0.748)	Data 0.002 (0.001)	Loss 2.7005 (2.8315)	Prec@1 32.031 (32.987)	Prec@5 67.969 (63.120)
Epoch: [6][8770/14090]	Time 0.742 (0.748)	Data 0.001 (0.001)	Loss 2.9255 (2.8316)	Prec@1 28.125 (32.989)	Prec@5 64.062 (63.121)
Epoch: [6][8780/14090]	Time 0.778 (0.748)	Data 0.001 (0.001)	Loss 2.7902 (2.8315)	Prec@1 32.812 (32.990)	Prec@5 61.719 (63.121)
Epoch: [6][8790/14090]	Time 0.739 (0.748)	Data 0.001 (0.001)	Loss 2.6832 (2.8315)	Prec@1 35.938 (32.992)	Prec@5 68.750 (63.126)
Epoch: [6][8800/14090]	Time 0.772 (0.748)	Data 0.001 (0.001)	Loss 3.1058 (2.8315)	Prec@1 25.781 (32.992)	Prec@5 58.594 (63.126)
Epoch: [6][8810/14090]	Time 0.723 (0.748)	Data 0.001 (0.001)	Loss 2.8678 (2.8314)	Prec@1 31.250 (32.993)	Prec@5 58.594 (63.127)
Epoch: [6][8820/14090]	Time 0.780 (0.748)	Data 0.001 (0.001)	Loss 3.1127 (2.8314)	Prec@1 27.344 (32.992)	Prec@5 53.125 (63.125)
Epoch: [6][8830/14090]	Time 0.730 (0.748)	Data 0.002 (0.001)	Loss 2.9967 (2.8315)	Prec@1 38.281 (32.994)	Prec@5 64.844 (63.126)
Epoch: [6][8840/14090]	Time 0.758 (0.748)	Data 0.001 (0.001)	Loss 2.8596 (2.8315)	Prec@1 29.688 (32.993)	Prec@5 67.188 (63.125)
Epoch: [6][8850/14090]	Time 0.737 (0.748)	Data 0.001 (0.001)	Loss 2.7604 (2.8315)	Prec@1 35.938 (32.994)	Prec@5 63.281 (63.125)
Epoch: [6][8860/14090]	Time 0.740 (0.748)	Data 0.001 (0.001)	Loss 2.8661 (2.8317)	Prec@1 29.688 (32.992)	Prec@5 61.719 (63.122)
Epoch: [6][8870/14090]	Time 0.755 (0.748)	Data 0.001 (0.001)	Loss 2.9530 (2.8317)	Prec@1 29.688 (32.993)	Prec@5 57.812 (63.122)
Epoch: [6][8880/14090]	Time 0.771 (0.748)	Data 0.001 (0.001)	Loss 2.8692 (2.8317)	Prec@1 35.938 (32.993)	Prec@5 59.375 (63.120)
Epoch: [6][8890/14090]	Time 0.729 (0.748)	Data 0.006 (0.001)	Loss 2.9367 (2.8317)	Prec@1 27.344 (32.990)	Prec@5 57.031 (63.120)
Epoch: [6][8900/14090]	Time 0.765 (0.748)	Data 0.002 (0.001)	Loss 2.7032 (2.8317)	Prec@1 25.781 (32.989)	Prec@5 66.406 (63.121)
Epoch: [6][8910/14090]	Time 0.752 (0.748)	Data 0.001 (0.001)	Loss 2.7975 (2.8317)	Prec@1 29.688 (32.988)	Prec@5 58.594 (63.123)
Epoch: [6][8920/14090]	Time 0.726 (0.748)	Data 0.001 (0.001)	Loss 2.4486 (2.8316)	Prec@1 39.844 (32.990)	Prec@5 71.875 (63.123)
Epoch: [6][8930/14090]	Time 0.746 (0.748)	Data 0.003 (0.001)	Loss 3.2087 (2.8317)	Prec@1 28.125 (32.988)	Prec@5 57.031 (63.124)
Epoch: [6][8940/14090]	Time 0.774 (0.748)	Data 0.001 (0.001)	Loss 2.3804 (2.8315)	Prec@1 40.625 (32.991)	Prec@5 70.312 (63.127)
Epoch: [6][8950/14090]	Time 0.748 (0.748)	Data 0.001 (0.001)	Loss 2.8503 (2.8316)	Prec@1 25.781 (32.988)	Prec@5 66.406 (63.125)
Epoch: [6][8960/14090]	Time 0.746 (0.748)	Data 0.001 (0.001)	Loss 2.6116 (2.8316)	Prec@1 32.812 (32.987)	Prec@5 64.844 (63.126)
Epoch: [6][8970/14090]	Time 0.742 (0.748)	Data 0.002 (0.001)	Loss 2.5800 (2.8315)	Prec@1 34.375 (32.989)	Prec@5 67.969 (63.128)
Epoch: [6][8980/14090]	Time 0.752 (0.748)	Data 0.001 (0.001)	Loss 2.8073 (2.8315)	Prec@1 31.250 (32.989)	Prec@5 63.281 (63.129)
Epoch: [6][8990/14090]	Time 0.737 (0.748)	Data 0.001 (0.001)	Loss 2.8542 (2.8315)	Prec@1 35.938 (32.990)	Prec@5 63.281 (63.130)
Epoch: [6][9000/14090]	Time 0.743 (0.748)	Data 0.001 (0.001)	Loss 2.8516 (2.8315)	Prec@1 34.375 (32.989)	Prec@5 65.625 (63.130)
Epoch: [6][9010/14090]	Time 0.773 (0.748)	Data 0.001 (0.001)	Loss 3.1612 (2.8316)	Prec@1 25.000 (32.987)	Prec@5 48.438 (63.128)
Epoch: [6][9020/14090]	Time 0.741 (0.748)	Data 0.001 (0.001)	Loss 2.9625 (2.8316)	Prec@1 34.375 (32.989)	Prec@5 63.281 (63.129)
Epoch: [6][9030/14090]	Time 0.727 (0.748)	Data 0.001 (0.001)	Loss 2.7241 (2.8316)	Prec@1 32.812 (32.990)	Prec@5 66.406 (63.127)
Epoch: [6][9040/14090]	Time 0.731 (0.748)	Data 0.002 (0.001)	Loss 2.7118 (2.8316)	Prec@1 35.156 (32.990)	Prec@5 65.625 (63.128)
Epoch: [6][9050/14090]	Time 0.726 (0.748)	Data 0.001 (0.001)	Loss 2.5977 (2.8316)	Prec@1 39.062 (32.990)	Prec@5 69.531 (63.126)
Epoch: [6][9060/14090]	Time 0.732 (0.748)	Data 0.001 (0.001)	Loss 2.6028 (2.8316)	Prec@1 33.594 (32.989)	Prec@5 68.750 (63.127)
Epoch: [6][9070/14090]	Time 0.730 (0.748)	Data 0.001 (0.001)	Loss 2.7926 (2.8316)	Prec@1 35.938 (32.988)	Prec@5 67.969 (63.127)
Epoch: [6][9080/14090]	Time 0.763 (0.748)	Data 0.001 (0.001)	Loss 2.6343 (2.8316)	Prec@1 36.719 (32.988)	Prec@5 64.844 (63.126)
Epoch: [6][9090/14090]	Time 0.739 (0.748)	Data 0.001 (0.001)	Loss 2.6848 (2.8314)	Prec@1 32.031 (32.991)	Prec@5 68.750 (63.128)
Epoch: [6][9100/14090]	Time 0.754 (0.748)	Data 0.003 (0.001)	Loss 2.8269 (2.8314)	Prec@1 34.375 (32.992)	Prec@5 66.406 (63.130)
Epoch: [6][9110/14090]	Time 0.743 (0.748)	Data 0.002 (0.001)	Loss 3.0402 (2.8315)	Prec@1 28.125 (32.989)	Prec@5 59.375 (63.128)
Epoch: [6][9120/14090]	Time 0.760 (0.748)	Data 0.001 (0.001)	Loss 3.0109 (2.8315)	Prec@1 28.125 (32.990)	Prec@5 62.500 (63.129)
Epoch: [6][9130/14090]	Time 0.748 (0.748)	Data 0.001 (0.001)	Loss 2.6646 (2.8314)	Prec@1 39.062 (32.994)	Prec@5 71.875 (63.130)
Epoch: [6][9140/14090]	Time 0.788 (0.748)	Data 0.001 (0.001)	Loss 2.5225 (2.8315)	Prec@1 39.844 (32.993)	Prec@5 71.094 (63.129)
Epoch: [6][9150/14090]	Time 0.729 (0.748)	Data 0.001 (0.001)	Loss 3.0317 (2.8316)	Prec@1 31.250 (32.990)	Prec@5 53.906 (63.126)
Epoch: [6][9160/14090]	Time 0.746 (0.748)	Data 0.001 (0.001)	Loss 2.7099 (2.8316)	Prec@1 32.812 (32.990)	Prec@5 62.500 (63.126)
Epoch: [6][9170/14090]	Time 0.785 (0.748)	Data 0.001 (0.001)	Loss 2.8555 (2.8315)	Prec@1 36.719 (32.992)	Prec@5 64.844 (63.128)
Epoch: [6][9180/14090]	Time 0.760 (0.748)	Data 0.002 (0.001)	Loss 2.9129 (2.8316)	Prec@1 37.500 (32.990)	Prec@5 60.938 (63.127)
Epoch: [6][9190/14090]	Time 0.732 (0.748)	Data 0.001 (0.001)	Loss 2.8277 (2.8316)	Prec@1 37.500 (32.988)	Prec@5 64.062 (63.128)
Epoch: [6][9200/14090]	Time 0.726 (0.748)	Data 0.001 (0.001)	Loss 2.9883 (2.8315)	Prec@1 25.781 (32.988)	Prec@5 62.500 (63.130)
Epoch: [6][9210/14090]	Time 0.773 (0.748)	Data 0.001 (0.001)	Loss 2.7944 (2.8315)	Prec@1 32.812 (32.987)	Prec@5 59.375 (63.128)
Epoch: [6][9220/14090]	Time 0.748 (0.748)	Data 0.001 (0.001)	Loss 2.7566 (2.8314)	Prec@1 35.156 (32.990)	Prec@5 66.406 (63.131)
Epoch: [6][9230/14090]	Time 0.741 (0.748)	Data 0.001 (0.001)	Loss 2.8774 (2.8313)	Prec@1 31.250 (32.990)	Prec@5 59.375 (63.130)
Epoch: [6][9240/14090]	Time 0.737 (0.748)	Data 0.001 (0.001)	Loss 2.7088 (2.8313)	Prec@1 37.500 (32.991)	Prec@5 67.969 (63.130)
Epoch: [6][9250/14090]	Time 0.744 (0.748)	Data 0.002 (0.001)	Loss 2.8076 (2.8313)	Prec@1 32.812 (32.990)	Prec@5 58.594 (63.128)
Epoch: [6][9260/14090]	Time 0.766 (0.748)	Data 0.001 (0.001)	Loss 2.7258 (2.8312)	Prec@1 31.250 (32.991)	Prec@5 62.500 (63.130)
Epoch: [6][9270/14090]	Time 0.742 (0.748)	Data 0.001 (0.001)	Loss 2.7806 (2.8313)	Prec@1 36.719 (32.990)	Prec@5 66.406 (63.128)
Epoch: [6][9280/14090]	Time 0.752 (0.748)	Data 0.001 (0.001)	Loss 2.6869 (2.8312)	Prec@1 39.062 (32.991)	Prec@5 61.719 (63.130)
Epoch: [6][9290/14090]	Time 0.725 (0.748)	Data 0.001 (0.001)	Loss 2.6853 (2.8313)	Prec@1 35.938 (32.990)	Prec@5 63.281 (63.128)
Epoch: [6][9300/14090]	Time 0.780 (0.748)	Data 0.001 (0.001)	Loss 2.8120 (2.8313)	Prec@1 39.844 (32.991)	Prec@5 62.500 (63.127)
Epoch: [6][9310/14090]	Time 0.758 (0.748)	Data 0.001 (0.001)	Loss 2.8261 (2.8314)	Prec@1 34.375 (32.990)	Prec@5 67.188 (63.126)
Epoch: [6][9320/14090]	Time 0.742 (0.748)	Data 0.002 (0.001)	Loss 2.6382 (2.8314)	Prec@1 32.812 (32.990)	Prec@5 70.312 (63.126)
Epoch: [6][9330/14090]	Time 0.753 (0.748)	Data 0.001 (0.001)	Loss 2.9963 (2.8314)	Prec@1 33.594 (32.991)	Prec@5 57.031 (63.126)
Epoch: [6][9340/14090]	Time 0.757 (0.748)	Data 0.001 (0.001)	Loss 2.6522 (2.8314)	Prec@1 39.062 (32.990)	Prec@5 64.844 (63.124)
Epoch: [6][9350/14090]	Time 0.754 (0.748)	Data 0.001 (0.001)	Loss 3.1018 (2.8314)	Prec@1 30.469 (32.991)	Prec@5 57.031 (63.125)
Epoch: [6][9360/14090]	Time 0.749 (0.748)	Data 0.001 (0.001)	Loss 2.9813 (2.8315)	Prec@1 31.250 (32.989)	Prec@5 58.594 (63.123)
Epoch: [6][9370/14090]	Time 0.729 (0.748)	Data 0.001 (0.001)	Loss 2.6284 (2.8315)	Prec@1 35.156 (32.989)	Prec@5 69.531 (63.124)
Epoch: [6][9380/14090]	Time 0.735 (0.748)	Data 0.001 (0.001)	Loss 2.9226 (2.8315)	Prec@1 29.688 (32.986)	Prec@5 59.375 (63.122)
Epoch: [6][9390/14090]	Time 0.734 (0.748)	Data 0.002 (0.001)	Loss 2.7443 (2.8315)	Prec@1 32.031 (32.987)	Prec@5 67.969 (63.124)
Epoch: [6][9400/14090]	Time 0.762 (0.748)	Data 0.001 (0.001)	Loss 2.9682 (2.8314)	Prec@1 29.688 (32.986)	Prec@5 58.594 (63.124)
Epoch: [6][9410/14090]	Time 0.764 (0.748)	Data 0.001 (0.001)	Loss 2.8050 (2.8313)	Prec@1 30.469 (32.988)	Prec@5 63.281 (63.125)
Epoch: [6][9420/14090]	Time 0.739 (0.748)	Data 0.001 (0.001)	Loss 2.9701 (2.8313)	Prec@1 35.156 (32.989)	Prec@5 64.844 (63.127)
Epoch: [6][9430/14090]	Time 0.748 (0.748)	Data 0.001 (0.001)	Loss 2.6953 (2.8314)	Prec@1 41.406 (32.990)	Prec@5 64.844 (63.125)
Epoch: [6][9440/14090]	Time 0.770 (0.748)	Data 0.001 (0.001)	Loss 2.6479 (2.8314)	Prec@1 35.938 (32.989)	Prec@5 68.750 (63.125)
Epoch: [6][9450/14090]	Time 0.726 (0.748)	Data 0.001 (0.001)	Loss 2.8211 (2.8313)	Prec@1 29.688 (32.991)	Prec@5 60.938 (63.126)
Epoch: [6][9460/14090]	Time 0.745 (0.748)	Data 0.002 (0.001)	Loss 2.8536 (2.8313)	Prec@1 32.812 (32.993)	Prec@5 64.062 (63.126)
Epoch: [6][9470/14090]	Time 0.783 (0.748)	Data 0.001 (0.001)	Loss 2.9633 (2.8313)	Prec@1 30.469 (32.992)	Prec@5 57.031 (63.126)
Epoch: [6][9480/14090]	Time 0.756 (0.748)	Data 0.001 (0.001)	Loss 2.9277 (2.8313)	Prec@1 35.938 (32.991)	Prec@5 60.938 (63.126)
Epoch: [6][9490/14090]	Time 0.725 (0.748)	Data 0.001 (0.001)	Loss 2.4838 (2.8312)	Prec@1 33.594 (32.992)	Prec@5 71.875 (63.127)
Epoch: [6][9500/14090]	Time 0.756 (0.748)	Data 0.001 (0.001)	Loss 2.6097 (2.8312)	Prec@1 36.719 (32.991)	Prec@5 68.750 (63.126)
Epoch: [6][9510/14090]	Time 0.738 (0.748)	Data 0.001 (0.001)	Loss 3.0083 (2.8313)	Prec@1 31.250 (32.991)	Prec@5 54.688 (63.126)
Epoch: [6][9520/14090]	Time 0.731 (0.748)	Data 0.001 (0.001)	Loss 2.6111 (2.8312)	Prec@1 42.188 (32.992)	Prec@5 69.531 (63.126)
Epoch: [6][9530/14090]	Time 0.758 (0.748)	Data 0.002 (0.001)	Loss 2.6843 (2.8312)	Prec@1 37.500 (32.992)	Prec@5 71.094 (63.127)
Epoch: [6][9540/14090]	Time 0.730 (0.748)	Data 0.001 (0.001)	Loss 2.6770 (2.8312)	Prec@1 32.812 (32.992)	Prec@5 63.281 (63.127)
Epoch: [6][9550/14090]	Time 0.725 (0.748)	Data 0.001 (0.001)	Loss 3.0231 (2.8312)	Prec@1 31.250 (32.992)	Prec@5 61.719 (63.126)
Epoch: [6][9560/14090]	Time 0.779 (0.748)	Data 0.001 (0.001)	Loss 2.8619 (2.8311)	Prec@1 30.469 (32.994)	Prec@5 60.938 (63.129)
Epoch: [6][9570/14090]	Time 0.740 (0.748)	Data 0.001 (0.001)	Loss 2.9016 (2.8311)	Prec@1 29.688 (32.993)	Prec@5 60.156 (63.129)
Epoch: [6][9580/14090]	Time 0.753 (0.748)	Data 0.001 (0.001)	Loss 2.6083 (2.8310)	Prec@1 36.719 (32.993)	Prec@5 68.750 (63.131)
Epoch: [6][9590/14090]	Time 0.771 (0.748)	Data 0.001 (0.001)	Loss 2.6252 (2.8310)	Prec@1 38.281 (32.994)	Prec@5 65.625 (63.132)
Epoch: [6][9600/14090]	Time 0.736 (0.748)	Data 0.002 (0.001)	Loss 2.9328 (2.8310)	Prec@1 36.719 (32.994)	Prec@5 62.500 (63.129)
Epoch: [6][9610/14090]	Time 0.727 (0.748)	Data 0.001 (0.001)	Loss 2.8278 (2.8310)	Prec@1 35.156 (32.993)	Prec@5 65.625 (63.131)
Epoch: [6][9620/14090]	Time 0.735 (0.748)	Data 0.001 (0.001)	Loss 2.6451 (2.8310)	Prec@1 36.719 (32.992)	Prec@5 60.938 (63.130)
Epoch: [6][9630/14090]	Time 0.739 (0.748)	Data 0.001 (0.001)	Loss 2.8868 (2.8310)	Prec@1 35.156 (32.993)	Prec@5 59.375 (63.131)
Epoch: [6][9640/14090]	Time 0.748 (0.748)	Data 0.001 (0.001)	Loss 2.7744 (2.8310)	Prec@1 31.250 (32.991)	Prec@5 64.844 (63.131)
Epoch: [6][9650/14090]	Time 0.755 (0.748)	Data 0.001 (0.001)	Loss 2.6567 (2.8310)	Prec@1 39.844 (32.993)	Prec@5 65.625 (63.132)
Epoch: [6][9660/14090]	Time 0.756 (0.748)	Data 0.001 (0.001)	Loss 2.8588 (2.8310)	Prec@1 34.375 (32.994)	Prec@5 59.375 (63.132)
Epoch: [6][9670/14090]	Time 0.730 (0.748)	Data 0.002 (0.001)	Loss 2.9539 (2.8310)	Prec@1 27.344 (32.993)	Prec@5 60.938 (63.132)
Epoch: [6][9680/14090]	Time 0.751 (0.748)	Data 0.001 (0.001)	Loss 2.7589 (2.8310)	Prec@1 32.031 (32.993)	Prec@5 67.188 (63.133)
Epoch: [6][9690/14090]	Time 0.782 (0.748)	Data 0.001 (0.001)	Loss 2.5235 (2.8309)	Prec@1 33.594 (32.995)	Prec@5 70.312 (63.134)
Epoch: [6][9700/14090]	Time 0.743 (0.748)	Data 0.001 (0.001)	Loss 2.6923 (2.8309)	Prec@1 29.688 (32.994)	Prec@5 60.938 (63.134)
Epoch: [6][9710/14090]	Time 0.727 (0.748)	Data 0.001 (0.001)	Loss 2.6389 (2.8308)	Prec@1 35.156 (32.995)	Prec@5 68.750 (63.134)
Epoch: [6][9720/14090]	Time 0.771 (0.748)	Data 0.001 (0.001)	Loss 2.8546 (2.8308)	Prec@1 34.375 (32.995)	Prec@5 60.938 (63.134)
Epoch: [6][9730/14090]	Time 0.736 (0.748)	Data 0.001 (0.001)	Loss 2.8602 (2.8308)	Prec@1 32.812 (32.996)	Prec@5 61.719 (63.134)
Epoch: [6][9740/14090]	Time 0.724 (0.748)	Data 0.002 (0.001)	Loss 2.7532 (2.8308)	Prec@1 35.938 (32.998)	Prec@5 60.938 (63.134)
Epoch: [6][9750/14090]	Time 0.728 (0.748)	Data 0.001 (0.001)	Loss 2.6646 (2.8308)	Prec@1 35.156 (32.998)	Prec@5 65.625 (63.134)
Epoch: [6][9760/14090]	Time 0.756 (0.748)	Data 0.001 (0.001)	Loss 2.8796 (2.8308)	Prec@1 30.469 (32.997)	Prec@5 54.688 (63.135)
Epoch: [6][9770/14090]	Time 0.756 (0.748)	Data 0.001 (0.001)	Loss 2.4953 (2.8309)	Prec@1 37.500 (32.995)	Prec@5 70.312 (63.133)
Epoch: [6][9780/14090]	Time 0.722 (0.748)	Data 0.001 (0.001)	Loss 2.7666 (2.8308)	Prec@1 38.281 (32.997)	Prec@5 62.500 (63.134)
Epoch: [6][9790/14090]	Time 0.760 (0.748)	Data 0.001 (0.001)	Loss 2.8569 (2.8309)	Prec@1 31.250 (32.997)	Prec@5 60.938 (63.133)
Epoch: [6][9800/14090]	Time 0.726 (0.748)	Data 0.001 (0.001)	Loss 3.1098 (2.8309)	Prec@1 26.562 (32.996)	Prec@5 55.469 (63.133)
Epoch: [6][9810/14090]	Time 0.739 (0.748)	Data 0.002 (0.001)	Loss 2.9592 (2.8309)	Prec@1 28.906 (32.994)	Prec@5 63.281 (63.133)
Epoch: [6][9820/14090]	Time 0.770 (0.748)	Data 0.001 (0.001)	Loss 2.8186 (2.8309)	Prec@1 32.031 (32.995)	Prec@5 64.844 (63.134)
Epoch: [6][9830/14090]	Time 0.749 (0.748)	Data 0.001 (0.001)	Loss 2.8283 (2.8309)	Prec@1 32.031 (32.997)	Prec@5 60.938 (63.134)
Epoch: [6][9840/14090]	Time 0.732 (0.748)	Data 0.001 (0.001)	Loss 2.7819 (2.8308)	Prec@1 35.938 (32.998)	Prec@5 60.156 (63.134)
Epoch: [6][9850/14090]	Time 0.741 (0.748)	Data 0.001 (0.001)	Loss 2.6034 (2.8308)	Prec@1 39.062 (32.999)	Prec@5 70.312 (63.136)
Epoch: [6][9860/14090]	Time 0.742 (0.748)	Data 0.001 (0.001)	Loss 2.7764 (2.8307)	Prec@1 35.938 (33.000)	Prec@5 64.844 (63.137)
Epoch: [6][9870/14090]	Time 0.729 (0.748)	Data 0.001 (0.001)	Loss 2.6163 (2.8307)	Prec@1 32.812 (33.001)	Prec@5 67.188 (63.137)
Epoch: [6][9880/14090]	Time 0.740 (0.748)	Data 0.002 (0.001)	Loss 2.9880 (2.8308)	Prec@1 35.156 (32.999)	Prec@5 58.594 (63.135)
Epoch: [6][9890/14090]	Time 0.756 (0.748)	Data 0.001 (0.001)	Loss 2.8985 (2.8307)	Prec@1 28.125 (33.001)	Prec@5 64.844 (63.137)
Epoch: [6][9900/14090]	Time 0.753 (0.748)	Data 0.001 (0.001)	Loss 2.9342 (2.8307)	Prec@1 30.469 (33.001)	Prec@5 56.250 (63.137)
Epoch: [6][9910/14090]	Time 0.723 (0.748)	Data 0.001 (0.001)	Loss 2.7708 (2.8308)	Prec@1 32.031 (32.999)	Prec@5 64.844 (63.134)
Epoch: [6][9920/14090]	Time 0.737 (0.748)	Data 0.001 (0.001)	Loss 2.7566 (2.8308)	Prec@1 31.250 (32.998)	Prec@5 67.188 (63.132)
Epoch: [6][9930/14090]	Time 0.753 (0.748)	Data 0.001 (0.001)	Loss 3.1482 (2.8308)	Prec@1 26.562 (32.997)	Prec@5 53.906 (63.131)
Epoch: [6][9940/14090]	Time 0.725 (0.748)	Data 0.001 (0.001)	Loss 2.6193 (2.8307)	Prec@1 43.750 (32.999)	Prec@5 61.719 (63.131)
Epoch: [6][9950/14090]	Time 0.749 (0.748)	Data 0.002 (0.001)	Loss 2.8175 (2.8308)	Prec@1 32.031 (32.997)	Prec@5 63.281 (63.129)
Epoch: [6][9960/14090]	Time 0.729 (0.748)	Data 0.001 (0.001)	Loss 2.7657 (2.8308)	Prec@1 38.281 (32.998)	Prec@5 65.625 (63.130)
Epoch: [6][9970/14090]	Time 0.724 (0.748)	Data 0.001 (0.001)	Loss 2.5574 (2.8306)	Prec@1 32.812 (33.000)	Prec@5 63.281 (63.133)
Epoch: [6][9980/14090]	Time 0.732 (0.748)	Data 0.001 (0.001)	Loss 2.7878 (2.8307)	Prec@1 28.125 (32.997)	Prec@5 64.062 (63.133)
Epoch: [6][9990/14090]	Time 0.727 (0.748)	Data 0.001 (0.001)	Loss 3.0731 (2.8307)	Prec@1 32.031 (32.997)	Prec@5 54.688 (63.133)
Epoch: [6][10000/14090]	Time 0.751 (0.748)	Data 0.001 (0.001)	Loss 2.7997 (2.8307)	Prec@1 35.156 (32.998)	Prec@5 60.156 (63.134)
Epoch: [6][10010/14090]	Time 0.759 (0.748)	Data 0.001 (0.001)	Loss 2.7136 (2.8306)	Prec@1 39.062 (32.996)	Prec@5 64.062 (63.135)
Epoch: [6][10020/14090]	Time 0.761 (0.748)	Data 0.002 (0.001)	Loss 2.8519 (2.8306)	Prec@1 35.938 (32.999)	Prec@5 62.500 (63.137)
Epoch: [6][10030/14090]	Time 0.763 (0.748)	Data 0.001 (0.001)	Loss 2.9043 (2.8306)	Prec@1 30.469 (33.000)	Prec@5 61.719 (63.137)
Epoch: [6][10040/14090]	Time 0.731 (0.748)	Data 0.001 (0.001)	Loss 2.7992 (2.8305)	Prec@1 35.938 (33.000)	Prec@5 64.844 (63.138)
Epoch: [6][10050/14090]	Time 0.747 (0.748)	Data 0.001 (0.001)	Loss 2.5511 (2.8305)	Prec@1 41.406 (33.001)	Prec@5 65.625 (63.137)
Epoch: [6][10060/14090]	Time 0.735 (0.748)	Data 0.001 (0.001)	Loss 2.6233 (2.8305)	Prec@1 39.844 (33.001)	Prec@5 66.406 (63.138)
Epoch: [6][10070/14090]	Time 0.736 (0.748)	Data 0.001 (0.001)	Loss 2.9327 (2.8306)	Prec@1 32.031 (33.001)	Prec@5 60.938 (63.136)
Epoch: [6][10080/14090]	Time 0.753 (0.748)	Data 0.001 (0.001)	Loss 2.7357 (2.8305)	Prec@1 29.688 (33.002)	Prec@5 64.844 (63.138)
Epoch: [6][10090/14090]	Time 0.761 (0.748)	Data 0.003 (0.001)	Loss 2.8548 (2.8304)	Prec@1 35.156 (33.003)	Prec@5 67.188 (63.139)
Epoch: [6][10100/14090]	Time 0.764 (0.748)	Data 0.001 (0.001)	Loss 3.1535 (2.8305)	Prec@1 26.562 (33.002)	Prec@5 53.125 (63.138)
Epoch: [6][10110/14090]	Time 0.726 (0.748)	Data 0.001 (0.001)	Loss 2.8764 (2.8305)	Prec@1 35.938 (33.002)	Prec@5 65.625 (63.137)
Epoch: [6][10120/14090]	Time 0.735 (0.748)	Data 0.001 (0.001)	Loss 2.6924 (2.8305)	Prec@1 39.062 (33.002)	Prec@5 69.531 (63.136)
Epoch: [6][10130/14090]	Time 0.750 (0.748)	Data 0.001 (0.001)	Loss 2.7368 (2.8307)	Prec@1 38.281 (32.999)	Prec@5 64.062 (63.132)
Epoch: [6][10140/14090]	Time 0.754 (0.748)	Data 0.001 (0.001)	Loss 2.9822 (2.8307)	Prec@1 26.562 (32.998)	Prec@5 60.938 (63.133)
Epoch: [6][10150/14090]	Time 0.740 (0.748)	Data 0.001 (0.001)	Loss 2.7839 (2.8308)	Prec@1 30.469 (32.998)	Prec@5 64.844 (63.131)
Epoch: [6][10160/14090]	Time 0.772 (0.748)	Data 0.003 (0.001)	Loss 2.7354 (2.8307)	Prec@1 31.250 (32.999)	Prec@5 70.312 (63.131)
Epoch: [6][10170/14090]	Time 0.743 (0.748)	Data 0.001 (0.001)	Loss 2.6662 (2.8307)	Prec@1 36.719 (33.001)	Prec@5 61.719 (63.131)
Epoch: [6][10180/14090]	Time 0.775 (0.748)	Data 0.001 (0.001)	Loss 3.3484 (2.8308)	Prec@1 28.906 (33.002)	Prec@5 51.562 (63.131)
Epoch: [6][10190/14090]	Time 0.760 (0.748)	Data 0.001 (0.001)	Loss 2.7803 (2.8308)	Prec@1 38.281 (33.003)	Prec@5 64.062 (63.130)
Epoch: [6][10200/14090]	Time 0.755 (0.748)	Data 0.001 (0.001)	Loss 2.8524 (2.8307)	Prec@1 21.875 (33.002)	Prec@5 64.062 (63.132)
Epoch: [6][10210/14090]	Time 0.736 (0.748)	Data 0.001 (0.001)	Loss 2.8771 (2.8307)	Prec@1 32.812 (33.002)	Prec@5 64.062 (63.132)
Epoch: [6][10220/14090]	Time 0.769 (0.748)	Data 0.001 (0.001)	Loss 2.8954 (2.8308)	Prec@1 33.594 (33.001)	Prec@5 64.062 (63.131)
Epoch: [6][10230/14090]	Time 0.726 (0.748)	Data 0.002 (0.001)	Loss 2.6547 (2.8307)	Prec@1 32.812 (33.002)	Prec@5 66.406 (63.131)
Epoch: [6][10240/14090]	Time 0.758 (0.748)	Data 0.001 (0.001)	Loss 2.6810 (2.8307)	Prec@1 39.062 (33.001)	Prec@5 67.188 (63.133)
Epoch: [6][10250/14090]	Time 0.744 (0.748)	Data 0.001 (0.001)	Loss 2.7652 (2.8307)	Prec@1 37.500 (33.001)	Prec@5 62.500 (63.133)
Epoch: [6][10260/14090]	Time 0.736 (0.748)	Data 0.001 (0.001)	Loss 2.8769 (2.8307)	Prec@1 32.812 (32.999)	Prec@5 63.281 (63.133)
Epoch: [6][10270/14090]	Time 0.755 (0.748)	Data 0.001 (0.001)	Loss 2.6649 (2.8307)	Prec@1 39.844 (32.999)	Prec@5 64.844 (63.134)
Epoch: [6][10280/14090]	Time 0.741 (0.748)	Data 0.001 (0.001)	Loss 3.0197 (2.8307)	Prec@1 32.812 (32.999)	Prec@5 60.156 (63.133)
Epoch: [6][10290/14090]	Time 0.754 (0.748)	Data 0.001 (0.001)	Loss 3.1565 (2.8306)	Prec@1 25.781 (33.001)	Prec@5 55.469 (63.136)
Epoch: [6][10300/14090]	Time 0.728 (0.748)	Data 0.001 (0.001)	Loss 2.7314 (2.8306)	Prec@1 38.281 (33.001)	Prec@5 66.406 (63.137)
Epoch: [6][10310/14090]	Time 0.723 (0.748)	Data 0.001 (0.001)	Loss 2.8115 (2.8305)	Prec@1 32.031 (33.003)	Prec@5 60.156 (63.139)
Epoch: [6][10320/14090]	Time 0.753 (0.748)	Data 0.001 (0.001)	Loss 2.7921 (2.8305)	Prec@1 36.719 (33.003)	Prec@5 60.938 (63.138)
Epoch: [6][10330/14090]	Time 0.750 (0.748)	Data 0.001 (0.001)	Loss 2.8454 (2.8306)	Prec@1 31.250 (33.002)	Prec@5 59.375 (63.138)
Epoch: [6][10340/14090]	Time 0.730 (0.748)	Data 0.001 (0.001)	Loss 2.6737 (2.8307)	Prec@1 32.031 (32.999)	Prec@5 64.844 (63.136)
Epoch: [6][10350/14090]	Time 0.757 (0.748)	Data 0.001 (0.001)	Loss 2.9105 (2.8307)	Prec@1 35.156 (32.998)	Prec@5 61.719 (63.136)
Epoch: [6][10360/14090]	Time 0.754 (0.748)	Data 0.001 (0.001)	Loss 3.0312 (2.8308)	Prec@1 32.031 (32.996)	Prec@5 55.469 (63.134)
Epoch: [6][10370/14090]	Time 0.756 (0.748)	Data 0.002 (0.001)	Loss 2.7446 (2.8307)	Prec@1 37.500 (32.997)	Prec@5 63.281 (63.136)
Epoch: [6][10380/14090]	Time 0.752 (0.748)	Data 0.001 (0.001)	Loss 2.9280 (2.8307)	Prec@1 29.688 (32.997)	Prec@5 63.281 (63.134)
Epoch: [6][10390/14090]	Time 0.729 (0.748)	Data 0.001 (0.001)	Loss 2.7073 (2.8307)	Prec@1 33.594 (32.998)	Prec@5 67.969 (63.134)
Epoch: [6][10400/14090]	Time 0.733 (0.748)	Data 0.001 (0.001)	Loss 2.9537 (2.8308)	Prec@1 34.375 (32.999)	Prec@5 57.812 (63.131)
Epoch: [6][10410/14090]	Time 0.762 (0.748)	Data 0.001 (0.001)	Loss 2.7833 (2.8308)	Prec@1 32.031 (33.001)	Prec@5 60.156 (63.132)
Epoch: [6][10420/14090]	Time 0.734 (0.748)	Data 0.001 (0.001)	Loss 2.9152 (2.8308)	Prec@1 35.156 (33.002)	Prec@5 63.281 (63.132)
Epoch: [6][10430/14090]	Time 0.728 (0.748)	Data 0.001 (0.001)	Loss 2.8344 (2.8308)	Prec@1 34.375 (33.003)	Prec@5 62.500 (63.133)
Epoch: [6][10440/14090]	Time 0.754 (0.748)	Data 0.002 (0.001)	Loss 2.6239 (2.8308)	Prec@1 36.719 (33.003)	Prec@5 67.188 (63.134)
Epoch: [6][10450/14090]	Time 0.736 (0.748)	Data 0.001 (0.001)	Loss 2.8358 (2.8308)	Prec@1 32.031 (33.003)	Prec@5 62.500 (63.134)
Epoch: [6][10460/14090]	Time 0.734 (0.748)	Data 0.001 (0.001)	Loss 2.8395 (2.8309)	Prec@1 35.156 (33.003)	Prec@5 62.500 (63.131)
Epoch: [6][10470/14090]	Time 0.750 (0.748)	Data 0.001 (0.001)	Loss 2.7374 (2.8309)	Prec@1 35.938 (33.004)	Prec@5 65.625 (63.132)
Epoch: [6][10480/14090]	Time 0.765 (0.748)	Data 0.001 (0.001)	Loss 3.0672 (2.8308)	Prec@1 28.906 (33.006)	Prec@5 54.688 (63.132)
Epoch: [6][10490/14090]	Time 0.748 (0.748)	Data 0.001 (0.001)	Loss 2.8107 (2.8308)	Prec@1 29.688 (33.009)	Prec@5 63.281 (63.134)
Epoch: [6][10500/14090]	Time 0.755 (0.748)	Data 0.001 (0.001)	Loss 2.9049 (2.8308)	Prec@1 26.562 (33.007)	Prec@5 61.719 (63.133)
Epoch: [6][10510/14090]	Time 0.751 (0.748)	Data 0.002 (0.001)	Loss 2.6923 (2.8308)	Prec@1 35.938 (33.006)	Prec@5 66.406 (63.133)
Epoch: [6][10520/14090]	Time 0.739 (0.748)	Data 0.001 (0.001)	Loss 2.8316 (2.8309)	Prec@1 37.500 (33.007)	Prec@5 64.844 (63.131)
Epoch: [6][10530/14090]	Time 0.745 (0.748)	Data 0.001 (0.001)	Loss 2.6836 (2.8308)	Prec@1 31.250 (33.009)	Prec@5 62.500 (63.132)
Epoch: [6][10540/14090]	Time 0.745 (0.748)	Data 0.001 (0.001)	Loss 2.9331 (2.8307)	Prec@1 34.375 (33.010)	Prec@5 57.812 (63.134)
Epoch: [6][10550/14090]	Time 0.764 (0.748)	Data 0.001 (0.001)	Loss 2.7930 (2.8308)	Prec@1 34.375 (33.009)	Prec@5 67.969 (63.134)
Epoch: [6][10560/14090]	Time 0.754 (0.748)	Data 0.001 (0.001)	Loss 2.6769 (2.8307)	Prec@1 38.281 (33.011)	Prec@5 68.750 (63.135)
Epoch: [6][10570/14090]	Time 0.755 (0.748)	Data 0.001 (0.001)	Loss 2.7814 (2.8307)	Prec@1 35.156 (33.013)	Prec@5 68.750 (63.135)
Epoch: [6][10580/14090]	Time 0.779 (0.748)	Data 0.002 (0.001)	Loss 3.1497 (2.8307)	Prec@1 25.781 (33.012)	Prec@5 56.250 (63.133)
Epoch: [6][10590/14090]	Time 0.765 (0.748)	Data 0.001 (0.001)	Loss 2.7452 (2.8306)	Prec@1 35.156 (33.012)	Prec@5 61.719 (63.134)
Epoch: [6][10600/14090]	Time 0.754 (0.748)	Data 0.001 (0.001)	Loss 3.0521 (2.8306)	Prec@1 28.906 (33.012)	Prec@5 60.938 (63.135)
Epoch: [6][10610/14090]	Time 0.768 (0.748)	Data 0.001 (0.001)	Loss 2.8804 (2.8307)	Prec@1 35.156 (33.011)	Prec@5 60.938 (63.133)
Epoch: [6][10620/14090]	Time 0.739 (0.748)	Data 0.001 (0.001)	Loss 3.0968 (2.8308)	Prec@1 27.344 (33.008)	Prec@5 59.375 (63.132)
Epoch: [6][10630/14090]	Time 0.765 (0.748)	Data 0.001 (0.001)	Loss 2.8746 (2.8308)	Prec@1 36.719 (33.009)	Prec@5 65.625 (63.133)
Epoch: [6][10640/14090]	Time 0.732 (0.748)	Data 0.001 (0.001)	Loss 2.7671 (2.8308)	Prec@1 29.688 (33.009)	Prec@5 64.062 (63.134)
Epoch: [6][10650/14090]	Time 0.771 (0.748)	Data 0.002 (0.001)	Loss 2.6987 (2.8309)	Prec@1 35.156 (33.008)	Prec@5 62.500 (63.132)
Epoch: [6][10660/14090]	Time 0.752 (0.748)	Data 0.001 (0.001)	Loss 2.6668 (2.8309)	Prec@1 35.938 (33.008)	Prec@5 64.062 (63.131)
Epoch: [6][10670/14090]	Time 0.749 (0.748)	Data 0.001 (0.001)	Loss 2.6977 (2.8308)	Prec@1 36.719 (33.010)	Prec@5 64.062 (63.133)
Epoch: [6][10680/14090]	Time 0.773 (0.748)	Data 0.001 (0.001)	Loss 2.8531 (2.8309)	Prec@1 28.906 (33.011)	Prec@5 60.156 (63.132)
Epoch: [6][10690/14090]	Time 0.741 (0.748)	Data 0.001 (0.001)	Loss 3.1150 (2.8309)	Prec@1 27.344 (33.012)	Prec@5 60.938 (63.131)
Epoch: [6][10700/14090]	Time 0.740 (0.748)	Data 0.001 (0.001)	Loss 2.9888 (2.8309)	Prec@1 30.469 (33.011)	Prec@5 60.938 (63.131)
Epoch: [6][10710/14090]	Time 0.750 (0.748)	Data 0.001 (0.001)	Loss 2.9883 (2.8309)	Prec@1 31.250 (33.011)	Prec@5 64.062 (63.131)
Epoch: [6][10720/14090]	Time 0.751 (0.748)	Data 0.002 (0.001)	Loss 2.7684 (2.8309)	Prec@1 37.500 (33.010)	Prec@5 69.531 (63.132)
Epoch: [6][10730/14090]	Time 0.727 (0.748)	Data 0.001 (0.001)	Loss 2.7982 (2.8310)	Prec@1 36.719 (33.011)	Prec@5 64.844 (63.130)
Epoch: [6][10740/14090]	Time 0.724 (0.748)	Data 0.001 (0.001)	Loss 3.2500 (2.8312)	Prec@1 27.344 (33.009)	Prec@5 56.250 (63.126)
Epoch: [6][10750/14090]	Time 0.769 (0.748)	Data 0.001 (0.001)	Loss 2.5904 (2.8311)	Prec@1 41.406 (33.010)	Prec@5 68.750 (63.126)
Epoch: [6][10760/14090]	Time 0.732 (0.748)	Data 0.001 (0.001)	Loss 2.7041 (2.8310)	Prec@1 33.594 (33.013)	Prec@5 66.406 (63.128)
Epoch: [6][10770/14090]	Time 0.736 (0.748)	Data 0.001 (0.001)	Loss 2.6156 (2.8310)	Prec@1 41.406 (33.012)	Prec@5 61.719 (63.128)
Epoch: [6][10780/14090]	Time 0.725 (0.748)	Data 0.001 (0.001)	Loss 2.8512 (2.8310)	Prec@1 33.594 (33.012)	Prec@5 61.719 (63.128)
Epoch: [6][10790/14090]	Time 0.735 (0.748)	Data 0.002 (0.001)	Loss 2.8820 (2.8310)	Prec@1 29.688 (33.010)	Prec@5 61.719 (63.128)
Epoch: [6][10800/14090]	Time 0.741 (0.748)	Data 0.001 (0.001)	Loss 2.8518 (2.8310)	Prec@1 33.594 (33.010)	Prec@5 61.719 (63.129)
Epoch: [6][10810/14090]	Time 0.754 (0.748)	Data 0.001 (0.001)	Loss 2.7978 (2.8309)	Prec@1 28.906 (33.010)	Prec@5 62.500 (63.131)
Epoch: [6][10820/14090]	Time 0.746 (0.748)	Data 0.001 (0.001)	Loss 2.7361 (2.8309)	Prec@1 32.031 (33.009)	Prec@5 60.938 (63.132)
Epoch: [6][10830/14090]	Time 0.783 (0.748)	Data 0.001 (0.001)	Loss 2.7756 (2.8308)	Prec@1 32.031 (33.009)	Prec@5 58.594 (63.132)
Epoch: [6][10840/14090]	Time 0.738 (0.748)	Data 0.001 (0.001)	Loss 2.8808 (2.8309)	Prec@1 32.812 (33.010)	Prec@5 60.156 (63.131)
Epoch: [6][10850/14090]	Time 0.743 (0.748)	Data 0.001 (0.001)	Loss 2.9301 (2.8309)	Prec@1 29.688 (33.008)	Prec@5 59.375 (63.132)
Epoch: [6][10860/14090]	Time 0.754 (0.748)	Data 0.002 (0.001)	Loss 2.7125 (2.8310)	Prec@1 31.250 (33.007)	Prec@5 63.281 (63.130)
Epoch: [6][10870/14090]	Time 0.758 (0.748)	Data 0.001 (0.001)	Loss 2.7765 (2.8310)	Prec@1 33.594 (33.005)	Prec@5 64.062 (63.130)
Epoch: [6][10880/14090]	Time 0.750 (0.748)	Data 0.001 (0.001)	Loss 2.5976 (2.8310)	Prec@1 39.844 (33.006)	Prec@5 67.188 (63.130)
Epoch: [6][10890/14090]	Time 0.751 (0.748)	Data 0.001 (0.001)	Loss 2.9023 (2.8310)	Prec@1 33.594 (33.007)	Prec@5 61.719 (63.130)
Epoch: [6][10900/14090]	Time 0.769 (0.748)	Data 0.001 (0.001)	Loss 2.9347 (2.8310)	Prec@1 26.562 (33.006)	Prec@5 63.281 (63.131)
Epoch: [6][10910/14090]	Time 0.746 (0.748)	Data 0.001 (0.001)	Loss 2.7375 (2.8309)	Prec@1 33.594 (33.009)	Prec@5 66.406 (63.133)
Epoch: [6][10920/14090]	Time 0.733 (0.748)	Data 0.001 (0.001)	Loss 2.8751 (2.8309)	Prec@1 37.500 (33.010)	Prec@5 63.281 (63.133)
Epoch: [6][10930/14090]	Time 0.725 (0.748)	Data 0.002 (0.001)	Loss 2.9867 (2.8309)	Prec@1 32.031 (33.011)	Prec@5 58.594 (63.135)
Epoch: [6][10940/14090]	Time 0.759 (0.748)	Data 0.001 (0.001)	Loss 3.0612 (2.8308)	Prec@1 30.469 (33.012)	Prec@5 56.250 (63.135)
Epoch: [6][10950/14090]	Time 0.723 (0.748)	Data 0.001 (0.001)	Loss 2.6358 (2.8307)	Prec@1 32.031 (33.012)	Prec@5 63.281 (63.136)
Epoch: [6][10960/14090]	Time 0.758 (0.748)	Data 0.001 (0.001)	Loss 2.7190 (2.8308)	Prec@1 35.156 (33.013)	Prec@5 63.281 (63.136)
Epoch: [6][10970/14090]	Time 0.725 (0.748)	Data 0.001 (0.001)	Loss 2.8337 (2.8308)	Prec@1 34.375 (33.012)	Prec@5 62.500 (63.135)
Epoch: [6][10980/14090]	Time 0.756 (0.748)	Data 0.001 (0.001)	Loss 2.8746 (2.8308)	Prec@1 33.594 (33.012)	Prec@5 67.188 (63.136)
Epoch: [6][10990/14090]	Time 0.739 (0.748)	Data 0.001 (0.001)	Loss 2.7278 (2.8308)	Prec@1 33.594 (33.013)	Prec@5 60.938 (63.136)
Epoch: [6][11000/14090]	Time 0.758 (0.748)	Data 0.002 (0.001)	Loss 2.4624 (2.8308)	Prec@1 36.719 (33.013)	Prec@5 75.000 (63.136)
Epoch: [6][11010/14090]	Time 0.729 (0.748)	Data 0.001 (0.001)	Loss 2.6466 (2.8308)	Prec@1 34.375 (33.013)	Prec@5 66.406 (63.136)
Epoch: [6][11020/14090]	Time 0.742 (0.748)	Data 0.001 (0.001)	Loss 2.7480 (2.8309)	Prec@1 35.938 (33.013)	Prec@5 66.406 (63.134)
Epoch: [6][11030/14090]	Time 0.752 (0.748)	Data 0.001 (0.001)	Loss 2.7793 (2.8309)	Prec@1 32.031 (33.014)	Prec@5 66.406 (63.133)
Epoch: [6][11040/14090]	Time 0.756 (0.748)	Data 0.001 (0.001)	Loss 2.7642 (2.8308)	Prec@1 31.250 (33.015)	Prec@5 66.406 (63.134)
Epoch: [6][11050/14090]	Time 0.740 (0.748)	Data 0.001 (0.001)	Loss 2.7003 (2.8309)	Prec@1 39.844 (33.015)	Prec@5 64.062 (63.133)
Epoch: [6][11060/14090]	Time 0.767 (0.748)	Data 0.001 (0.001)	Loss 2.6872 (2.8308)	Prec@1 34.375 (33.015)	Prec@5 71.094 (63.136)
Epoch: [6][11070/14090]	Time 0.724 (0.748)	Data 0.002 (0.001)	Loss 2.9012 (2.8307)	Prec@1 29.688 (33.017)	Prec@5 60.156 (63.138)
Epoch: [6][11080/14090]	Time 0.726 (0.748)	Data 0.001 (0.001)	Loss 2.9149 (2.8307)	Prec@1 32.031 (33.019)	Prec@5 63.281 (63.139)
Epoch: [6][11090/14090]	Time 0.761 (0.748)	Data 0.001 (0.001)	Loss 2.8768 (2.8307)	Prec@1 33.594 (33.019)	Prec@5 63.281 (63.141)
Epoch: [6][11100/14090]	Time 0.755 (0.748)	Data 0.001 (0.001)	Loss 2.8637 (2.8307)	Prec@1 36.719 (33.018)	Prec@5 60.938 (63.140)
Epoch: [6][11110/14090]	Time 0.740 (0.748)	Data 0.001 (0.001)	Loss 3.0976 (2.8307)	Prec@1 29.688 (33.017)	Prec@5 60.156 (63.139)
Epoch: [6][11120/14090]	Time 0.764 (0.748)	Data 0.001 (0.001)	Loss 2.8604 (2.8308)	Prec@1 33.594 (33.015)	Prec@5 60.938 (63.137)
Epoch: [6][11130/14090]	Time 0.725 (0.748)	Data 0.001 (0.001)	Loss 2.9750 (2.8308)	Prec@1 28.125 (33.016)	Prec@5 60.938 (63.137)
Epoch: [6][11140/14090]	Time 0.755 (0.748)	Data 0.002 (0.001)	Loss 2.5628 (2.8308)	Prec@1 37.500 (33.015)	Prec@5 66.406 (63.138)
Epoch: [6][11150/14090]	Time 0.780 (0.748)	Data 0.001 (0.001)	Loss 2.7669 (2.8308)	Prec@1 35.938 (33.013)	Prec@5 63.281 (63.138)
Epoch: [6][11160/14090]	Time 0.752 (0.748)	Data 0.001 (0.001)	Loss 2.9772 (2.8308)	Prec@1 27.344 (33.013)	Prec@5 61.719 (63.137)
Epoch: [6][11170/14090]	Time 0.750 (0.748)	Data 0.001 (0.001)	Loss 2.8233 (2.8308)	Prec@1 34.375 (33.014)	Prec@5 65.625 (63.137)
Epoch: [6][11180/14090]	Time 0.750 (0.748)	Data 0.001 (0.001)	Loss 2.8045 (2.8308)	Prec@1 35.156 (33.014)	Prec@5 67.969 (63.138)
Epoch: [6][11190/14090]	Time 0.734 (0.748)	Data 0.001 (0.001)	Loss 2.8110 (2.8308)	Prec@1 28.906 (33.014)	Prec@5 67.188 (63.139)
Epoch: [6][11200/14090]	Time 0.774 (0.748)	Data 0.001 (0.001)	Loss 2.8747 (2.8308)	Prec@1 31.250 (33.013)	Prec@5 58.594 (63.138)
Epoch: [6][11210/14090]	Time 0.751 (0.748)	Data 0.002 (0.001)	Loss 2.8399 (2.8307)	Prec@1 29.688 (33.014)	Prec@5 62.500 (63.139)
Epoch: [6][11220/14090]	Time 0.754 (0.748)	Data 0.001 (0.001)	Loss 3.2381 (2.8308)	Prec@1 21.094 (33.010)	Prec@5 53.906 (63.137)
Epoch: [6][11230/14090]	Time 0.740 (0.748)	Data 0.001 (0.001)	Loss 2.6682 (2.8308)	Prec@1 35.938 (33.009)	Prec@5 60.938 (63.136)
Epoch: [6][11240/14090]	Time 0.734 (0.748)	Data 0.001 (0.001)	Loss 2.9521 (2.8308)	Prec@1 34.375 (33.007)	Prec@5 65.625 (63.135)
Epoch: [6][11250/14090]	Time 0.723 (0.748)	Data 0.001 (0.001)	Loss 2.8174 (2.8308)	Prec@1 35.156 (33.008)	Prec@5 64.062 (63.137)
Epoch: [6][11260/14090]	Time 0.767 (0.748)	Data 0.001 (0.001)	Loss 3.1636 (2.8308)	Prec@1 25.781 (33.009)	Prec@5 57.031 (63.136)
Epoch: [6][11270/14090]	Time 0.739 (0.748)	Data 0.001 (0.001)	Loss 2.9346 (2.8309)	Prec@1 32.031 (33.008)	Prec@5 57.812 (63.135)
Epoch: [6][11280/14090]	Time 0.748 (0.748)	Data 0.002 (0.001)	Loss 2.9309 (2.8309)	Prec@1 32.031 (33.007)	Prec@5 60.938 (63.134)
Epoch: [6][11290/14090]	Time 0.720 (0.748)	Data 0.001 (0.001)	Loss 2.8677 (2.8310)	Prec@1 33.594 (33.007)	Prec@5 67.188 (63.133)
Epoch: [6][11300/14090]	Time 0.741 (0.748)	Data 0.001 (0.001)	Loss 2.5929 (2.8310)	Prec@1 36.719 (33.005)	Prec@5 66.406 (63.133)
Epoch: [6][11310/14090]	Time 0.746 (0.748)	Data 0.001 (0.001)	Loss 2.8167 (2.8310)	Prec@1 33.594 (33.005)	Prec@5 64.844 (63.134)
Epoch: [6][11320/14090]	Time 0.725 (0.748)	Data 0.001 (0.001)	Loss 2.9119 (2.8310)	Prec@1 32.812 (33.004)	Prec@5 60.938 (63.133)
Epoch: [6][11330/14090]	Time 0.740 (0.748)	Data 0.001 (0.001)	Loss 2.8058 (2.8310)	Prec@1 36.719 (33.004)	Prec@5 62.500 (63.132)
Epoch: [6][11340/14090]	Time 0.751 (0.748)	Data 0.001 (0.001)	Loss 3.0873 (2.8310)	Prec@1 32.031 (33.003)	Prec@5 64.062 (63.132)
Epoch: [6][11350/14090]	Time 0.745 (0.748)	Data 0.002 (0.001)	Loss 2.8337 (2.8310)	Prec@1 32.812 (33.002)	Prec@5 62.500 (63.132)
Epoch: [6][11360/14090]	Time 0.727 (0.748)	Data 0.001 (0.001)	Loss 2.7475 (2.8309)	Prec@1 33.594 (33.005)	Prec@5 66.406 (63.133)
Epoch: [6][11370/14090]	Time 0.730 (0.748)	Data 0.001 (0.001)	Loss 2.7816 (2.8309)	Prec@1 37.500 (33.003)	Prec@5 64.062 (63.134)
Epoch: [6][11380/14090]	Time 0.738 (0.748)	Data 0.001 (0.001)	Loss 2.8617 (2.8309)	Prec@1 31.250 (33.002)	Prec@5 65.625 (63.135)
Epoch: [6][11390/14090]	Time 0.731 (0.748)	Data 0.001 (0.001)	Loss 2.8575 (2.8309)	Prec@1 33.594 (33.003)	Prec@5 63.281 (63.135)
Epoch: [6][11400/14090]	Time 0.746 (0.748)	Data 0.001 (0.001)	Loss 3.0786 (2.8309)	Prec@1 29.688 (33.004)	Prec@5 61.719 (63.135)
Epoch: [6][11410/14090]	Time 0.756 (0.748)	Data 0.001 (0.001)	Loss 2.7818 (2.8308)	Prec@1 28.906 (33.004)	Prec@5 67.188 (63.137)
Epoch: [6][11420/14090]	Time 0.731 (0.748)	Data 0.002 (0.001)	Loss 2.7282 (2.8308)	Prec@1 32.812 (33.003)	Prec@5 67.188 (63.137)
Epoch: [6][11430/14090]	Time 0.735 (0.748)	Data 0.001 (0.001)	Loss 3.0050 (2.8308)	Prec@1 29.688 (33.003)	Prec@5 56.250 (63.137)
Epoch: [6][11440/14090]	Time 0.758 (0.748)	Data 0.001 (0.001)	Loss 2.5835 (2.8308)	Prec@1 35.938 (33.004)	Prec@5 70.312 (63.137)
Epoch: [6][11450/14090]	Time 0.733 (0.748)	Data 0.001 (0.001)	Loss 3.3259 (2.8308)	Prec@1 29.688 (33.004)	Prec@5 53.906 (63.137)
Epoch: [6][11460/14090]	Time 0.729 (0.748)	Data 0.001 (0.001)	Loss 2.5570 (2.8308)	Prec@1 42.969 (33.004)	Prec@5 67.188 (63.137)
Epoch: [6][11470/14090]	Time 0.727 (0.748)	Data 0.001 (0.001)	Loss 2.9809 (2.8309)	Prec@1 30.469 (33.001)	Prec@5 58.594 (63.134)
Epoch: [6][11480/14090]	Time 0.730 (0.748)	Data 0.001 (0.001)	Loss 2.9300 (2.8308)	Prec@1 38.281 (33.003)	Prec@5 58.594 (63.136)
Epoch: [6][11490/14090]	Time 0.738 (0.748)	Data 0.002 (0.001)	Loss 2.6609 (2.8308)	Prec@1 33.594 (33.001)	Prec@5 71.094 (63.136)
Epoch: [6][11500/14090]	Time 0.764 (0.748)	Data 0.001 (0.001)	Loss 2.8146 (2.8309)	Prec@1 36.719 (33.001)	Prec@5 63.281 (63.134)
Epoch: [6][11510/14090]	Time 0.767 (0.748)	Data 0.001 (0.001)	Loss 2.7862 (2.8309)	Prec@1 36.719 (33.002)	Prec@5 61.719 (63.134)
Epoch: [6][11520/14090]	Time 0.757 (0.748)	Data 0.001 (0.001)	Loss 2.7655 (2.8309)	Prec@1 35.938 (33.001)	Prec@5 64.062 (63.133)
Epoch: [6][11530/14090]	Time 0.744 (0.748)	Data 0.001 (0.001)	Loss 2.7551 (2.8309)	Prec@1 35.938 (33.002)	Prec@5 67.188 (63.133)
Epoch: [6][11540/14090]	Time 0.742 (0.748)	Data 0.001 (0.001)	Loss 3.0248 (2.8311)	Prec@1 30.469 (32.999)	Prec@5 62.500 (63.131)
Epoch: [6][11550/14090]	Time 0.741 (0.748)	Data 0.001 (0.001)	Loss 2.8015 (2.8311)	Prec@1 30.469 (32.998)	Prec@5 64.062 (63.131)
Epoch: [6][11560/14090]	Time 0.757 (0.748)	Data 0.002 (0.001)	Loss 2.8463 (2.8310)	Prec@1 28.125 (32.998)	Prec@5 61.719 (63.131)
Epoch: [6][11570/14090]	Time 0.723 (0.748)	Data 0.001 (0.001)	Loss 2.6655 (2.8310)	Prec@1 31.250 (32.999)	Prec@5 68.750 (63.131)
Epoch: [6][11580/14090]	Time 0.737 (0.748)	Data 0.001 (0.001)	Loss 2.8478 (2.8310)	Prec@1 37.500 (33.001)	Prec@5 59.375 (63.131)
Epoch: [6][11590/14090]	Time 0.751 (0.748)	Data 0.001 (0.001)	Loss 2.7961 (2.8311)	Prec@1 39.844 (32.999)	Prec@5 58.594 (63.131)
Epoch: [6][11600/14090]	Time 0.741 (0.748)	Data 0.001 (0.001)	Loss 2.8844 (2.8310)	Prec@1 31.250 (33.000)	Prec@5 60.938 (63.132)
Epoch: [6][11610/14090]	Time 0.744 (0.748)	Data 0.001 (0.001)	Loss 3.1318 (2.8311)	Prec@1 30.469 (32.999)	Prec@5 60.938 (63.131)
Epoch: [6][11620/14090]	Time 0.753 (0.748)	Data 0.001 (0.001)	Loss 2.7580 (2.8310)	Prec@1 35.938 (33.001)	Prec@5 65.625 (63.134)
Epoch: [6][11630/14090]	Time 0.728 (0.748)	Data 0.002 (0.001)	Loss 2.8345 (2.8309)	Prec@1 32.031 (33.002)	Prec@5 60.156 (63.135)
Epoch: [6][11640/14090]	Time 0.734 (0.748)	Data 0.001 (0.001)	Loss 2.6871 (2.8309)	Prec@1 35.938 (33.002)	Prec@5 64.062 (63.135)
Epoch: [6][11650/14090]	Time 0.726 (0.748)	Data 0.001 (0.001)	Loss 2.8289 (2.8309)	Prec@1 25.781 (33.001)	Prec@5 63.281 (63.136)
Epoch: [6][11660/14090]	Time 0.750 (0.748)	Data 0.001 (0.001)	Loss 2.7145 (2.8309)	Prec@1 39.062 (33.002)	Prec@5 62.500 (63.137)
Epoch: [6][11670/14090]	Time 0.771 (0.748)	Data 0.001 (0.001)	Loss 3.0114 (2.8309)	Prec@1 32.812 (33.002)	Prec@5 64.844 (63.136)
Epoch: [6][11680/14090]	Time 0.754 (0.748)	Data 0.001 (0.001)	Loss 3.1508 (2.8308)	Prec@1 29.688 (33.003)	Prec@5 55.469 (63.136)
Epoch: [6][11690/14090]	Time 0.763 (0.748)	Data 0.001 (0.001)	Loss 2.8197 (2.8308)	Prec@1 32.812 (33.003)	Prec@5 62.500 (63.137)
Epoch: [6][11700/14090]	Time 0.731 (0.748)	Data 0.002 (0.001)	Loss 2.7256 (2.8307)	Prec@1 39.844 (33.005)	Prec@5 70.312 (63.138)
Epoch: [6][11710/14090]	Time 0.753 (0.748)	Data 0.001 (0.001)	Loss 3.0474 (2.8307)	Prec@1 28.125 (33.005)	Prec@5 57.031 (63.139)
Epoch: [6][11720/14090]	Time 0.734 (0.748)	Data 0.001 (0.001)	Loss 2.5105 (2.8306)	Prec@1 34.375 (33.006)	Prec@5 74.219 (63.139)
Epoch: [6][11730/14090]	Time 0.731 (0.748)	Data 0.001 (0.001)	Loss 2.8886 (2.8306)	Prec@1 35.156 (33.006)	Prec@5 64.062 (63.140)
Epoch: [6][11740/14090]	Time 0.749 (0.748)	Data 0.001 (0.001)	Loss 2.9276 (2.8306)	Prec@1 25.000 (33.006)	Prec@5 60.156 (63.141)
Epoch: [6][11750/14090]	Time 0.757 (0.748)	Data 0.001 (0.001)	Loss 2.9175 (2.8306)	Prec@1 29.688 (33.008)	Prec@5 60.938 (63.142)
Epoch: [6][11760/14090]	Time 0.724 (0.748)	Data 0.001 (0.001)	Loss 2.8657 (2.8305)	Prec@1 34.375 (33.009)	Prec@5 58.594 (63.142)
Epoch: [6][11770/14090]	Time 0.750 (0.748)	Data 0.002 (0.001)	Loss 2.8798 (2.8305)	Prec@1 28.125 (33.008)	Prec@5 64.062 (63.143)
Epoch: [6][11780/14090]	Time 0.722 (0.748)	Data 0.001 (0.001)	Loss 2.7402 (2.8305)	Prec@1 30.469 (33.009)	Prec@5 64.844 (63.144)
Epoch: [6][11790/14090]	Time 0.735 (0.748)	Data 0.001 (0.001)	Loss 2.9687 (2.8305)	Prec@1 32.031 (33.007)	Prec@5 60.156 (63.143)
Epoch: [6][11800/14090]	Time 0.776 (0.748)	Data 0.001 (0.001)	Loss 2.9569 (2.8306)	Prec@1 26.562 (33.005)	Prec@5 63.281 (63.143)
Epoch: [6][11810/14090]	Time 0.736 (0.748)	Data 0.001 (0.001)	Loss 2.7414 (2.8306)	Prec@1 35.938 (33.004)	Prec@5 64.062 (63.142)
Epoch: [6][11820/14090]	Time 0.735 (0.748)	Data 0.001 (0.001)	Loss 3.0076 (2.8306)	Prec@1 30.469 (33.005)	Prec@5 63.281 (63.143)
Epoch: [6][11830/14090]	Time 0.751 (0.748)	Data 0.001 (0.001)	Loss 2.8491 (2.8306)	Prec@1 30.469 (33.004)	Prec@5 60.938 (63.142)
Epoch: [6][11840/14090]	Time 0.726 (0.748)	Data 0.002 (0.001)	Loss 3.0236 (2.8305)	Prec@1 33.594 (33.005)	Prec@5 65.625 (63.144)
Epoch: [6][11850/14090]	Time 0.741 (0.748)	Data 0.001 (0.001)	Loss 2.7273 (2.8305)	Prec@1 33.594 (33.005)	Prec@5 63.281 (63.144)
Epoch: [6][11860/14090]	Time 0.767 (0.748)	Data 0.001 (0.001)	Loss 2.7678 (2.8306)	Prec@1 28.906 (33.003)	Prec@5 66.406 (63.143)
Epoch: [6][11870/14090]	Time 0.756 (0.748)	Data 0.001 (0.001)	Loss 2.7552 (2.8305)	Prec@1 34.375 (33.003)	Prec@5 64.062 (63.143)
Epoch: [6][11880/14090]	Time 0.739 (0.748)	Data 0.001 (0.001)	Loss 2.6826 (2.8305)	Prec@1 34.375 (33.002)	Prec@5 64.062 (63.144)
Epoch: [6][11890/14090]	Time 0.755 (0.748)	Data 0.001 (0.001)	Loss 2.7819 (2.8305)	Prec@1 32.812 (33.002)	Prec@5 58.594 (63.144)
Epoch: [6][11900/14090]	Time 0.752 (0.748)	Data 0.001 (0.001)	Loss 2.6674 (2.8305)	Prec@1 32.031 (33.001)	Prec@5 62.500 (63.144)
Epoch: [6][11910/14090]	Time 0.723 (0.748)	Data 0.002 (0.001)	Loss 2.7337 (2.8305)	Prec@1 38.281 (33.001)	Prec@5 66.406 (63.144)
Epoch: [6][11920/14090]	Time 0.741 (0.748)	Data 0.001 (0.001)	Loss 2.5709 (2.8305)	Prec@1 40.625 (33.002)	Prec@5 65.625 (63.144)
Epoch: [6][11930/14090]	Time 0.753 (0.748)	Data 0.001 (0.001)	Loss 2.9616 (2.8305)	Prec@1 28.125 (33.000)	Prec@5 60.938 (63.143)
Epoch: [6][11940/14090]	Time 0.738 (0.748)	Data 0.001 (0.001)	Loss 2.9128 (2.8306)	Prec@1 30.469 (32.999)	Prec@5 62.500 (63.142)
Epoch: [6][11950/14090]	Time 0.731 (0.748)	Data 0.001 (0.001)	Loss 2.7792 (2.8306)	Prec@1 34.375 (33.000)	Prec@5 71.094 (63.143)
Epoch: [6][11960/14090]	Time 0.754 (0.748)	Data 0.001 (0.001)	Loss 3.1922 (2.8306)	Prec@1 28.906 (33.000)	Prec@5 55.469 (63.142)
Epoch: [6][11970/14090]	Time 0.754 (0.748)	Data 0.001 (0.001)	Loss 2.8879 (2.8307)	Prec@1 28.125 (32.999)	Prec@5 64.844 (63.142)
Epoch: [6][11980/14090]	Time 0.757 (0.748)	Data 0.002 (0.001)	Loss 2.6682 (2.8306)	Prec@1 35.938 (33.000)	Prec@5 65.625 (63.143)
Epoch: [6][11990/14090]	Time 0.745 (0.748)	Data 0.001 (0.001)	Loss 3.0201 (2.8306)	Prec@1 25.000 (32.999)	Prec@5 60.156 (63.142)
Epoch: [6][12000/14090]	Time 0.739 (0.748)	Data 0.001 (0.001)	Loss 2.7910 (2.8307)	Prec@1 39.062 (32.999)	Prec@5 60.938 (63.141)
Epoch: [6][12010/14090]	Time 0.749 (0.748)	Data 0.001 (0.001)	Loss 2.7909 (2.8307)	Prec@1 32.031 (32.999)	Prec@5 66.406 (63.142)
Epoch: [6][12020/14090]	Time 0.748 (0.748)	Data 0.001 (0.001)	Loss 3.0690 (2.8308)	Prec@1 25.781 (32.998)	Prec@5 60.938 (63.140)
Epoch: [6][12030/14090]	Time 0.727 (0.748)	Data 0.001 (0.001)	Loss 3.2070 (2.8308)	Prec@1 23.438 (32.998)	Prec@5 57.031 (63.140)
Epoch: [6][12040/14090]	Time 0.748 (0.748)	Data 0.001 (0.001)	Loss 2.7232 (2.8308)	Prec@1 32.812 (32.998)	Prec@5 64.844 (63.140)
Epoch: [6][12050/14090]	Time 0.755 (0.748)	Data 0.002 (0.001)	Loss 2.6861 (2.8308)	Prec@1 35.938 (32.998)	Prec@5 66.406 (63.141)
Epoch: [6][12060/14090]	Time 0.757 (0.748)	Data 0.001 (0.001)	Loss 2.6998 (2.8309)	Prec@1 36.719 (32.998)	Prec@5 68.750 (63.139)
Epoch: [6][12070/14090]	Time 0.740 (0.748)	Data 0.001 (0.001)	Loss 2.8606 (2.8309)	Prec@1 31.250 (32.998)	Prec@5 60.938 (63.139)
Epoch: [6][12080/14090]	Time 0.740 (0.748)	Data 0.001 (0.001)	Loss 3.0545 (2.8309)	Prec@1 30.469 (32.997)	Prec@5 58.594 (63.139)
Epoch: [6][12090/14090]	Time 0.752 (0.748)	Data 0.001 (0.001)	Loss 2.7508 (2.8309)	Prec@1 25.781 (32.996)	Prec@5 67.188 (63.139)
Epoch: [6][12100/14090]	Time 0.753 (0.748)	Data 0.001 (0.001)	Loss 2.9064 (2.8310)	Prec@1 34.375 (32.995)	Prec@5 63.281 (63.138)
Epoch: [6][12110/14090]	Time 0.736 (0.748)	Data 0.001 (0.001)	Loss 2.7877 (2.8310)	Prec@1 33.594 (32.994)	Prec@5 61.719 (63.136)
Epoch: [6][12120/14090]	Time 0.744 (0.748)	Data 0.002 (0.001)	Loss 2.6320 (2.8310)	Prec@1 35.156 (32.994)	Prec@5 67.969 (63.138)
Epoch: [6][12130/14090]	Time 0.723 (0.748)	Data 0.001 (0.001)	Loss 2.8073 (2.8310)	Prec@1 35.938 (32.995)	Prec@5 60.938 (63.136)
Epoch: [6][12140/14090]	Time 0.750 (0.748)	Data 0.001 (0.001)	Loss 2.9183 (2.8308)	Prec@1 28.125 (32.997)	Prec@5 64.844 (63.139)
Epoch: [6][12150/14090]	Time 0.735 (0.748)	Data 0.001 (0.001)	Loss 3.2193 (2.8309)	Prec@1 30.469 (32.996)	Prec@5 57.031 (63.137)
Epoch: [6][12160/14090]	Time 0.774 (0.748)	Data 0.001 (0.001)	Loss 3.0512 (2.8310)	Prec@1 32.812 (32.996)	Prec@5 59.375 (63.135)
Epoch: [6][12170/14090]	Time 0.746 (0.748)	Data 0.001 (0.001)	Loss 3.1031 (2.8311)	Prec@1 28.906 (32.995)	Prec@5 57.031 (63.135)
Epoch: [6][12180/14090]	Time 0.753 (0.748)	Data 0.001 (0.001)	Loss 2.9698 (2.8310)	Prec@1 28.125 (32.995)	Prec@5 60.156 (63.136)
Epoch: [6][12190/14090]	Time 0.754 (0.748)	Data 0.002 (0.001)	Loss 3.0050 (2.8309)	Prec@1 23.438 (32.997)	Prec@5 60.156 (63.138)
Epoch: [6][12200/14090]	Time 0.758 (0.748)	Data 0.001 (0.001)	Loss 3.2080 (2.8310)	Prec@1 29.688 (32.996)	Prec@5 54.688 (63.137)
Epoch: [6][12210/14090]	Time 0.749 (0.748)	Data 0.001 (0.001)	Loss 2.4415 (2.8310)	Prec@1 41.406 (32.995)	Prec@5 75.781 (63.137)
Epoch: [6][12220/14090]	Time 0.744 (0.748)	Data 0.001 (0.001)	Loss 2.8229 (2.8310)	Prec@1 30.469 (32.994)	Prec@5 72.656 (63.139)
Epoch: [6][12230/14090]	Time 0.746 (0.748)	Data 0.001 (0.001)	Loss 2.9069 (2.8310)	Prec@1 35.156 (32.994)	Prec@5 66.406 (63.140)
Epoch: [6][12240/14090]	Time 0.727 (0.748)	Data 0.001 (0.001)	Loss 2.7550 (2.8310)	Prec@1 36.719 (32.994)	Prec@5 63.281 (63.141)
Epoch: [6][12250/14090]	Time 0.748 (0.748)	Data 0.001 (0.001)	Loss 3.0377 (2.8309)	Prec@1 33.594 (32.996)	Prec@5 59.375 (63.142)
Epoch: [6][12260/14090]	Time 0.771 (0.748)	Data 0.002 (0.001)	Loss 2.8554 (2.8309)	Prec@1 34.375 (32.996)	Prec@5 69.531 (63.142)
Epoch: [6][12270/14090]	Time 0.724 (0.748)	Data 0.001 (0.001)	Loss 2.8786 (2.8308)	Prec@1 32.031 (32.997)	Prec@5 66.406 (63.143)
Epoch: [6][12280/14090]	Time 0.757 (0.748)	Data 0.001 (0.001)	Loss 2.5038 (2.8308)	Prec@1 42.969 (32.998)	Prec@5 66.406 (63.144)
Epoch: [6][12290/14090]	Time 0.753 (0.748)	Data 0.001 (0.001)	Loss 2.7944 (2.8308)	Prec@1 33.594 (32.999)	Prec@5 61.719 (63.144)
Epoch: [6][12300/14090]	Time 0.741 (0.748)	Data 0.001 (0.001)	Loss 2.7010 (2.8307)	Prec@1 33.594 (33.000)	Prec@5 67.969 (63.146)
Epoch: [6][12310/14090]	Time 0.757 (0.748)	Data 0.001 (0.001)	Loss 2.6064 (2.8307)	Prec@1 36.719 (32.999)	Prec@5 66.406 (63.146)
Epoch: [6][12320/14090]	Time 0.745 (0.748)	Data 0.001 (0.001)	Loss 2.8336 (2.8307)	Prec@1 34.375 (32.999)	Prec@5 58.594 (63.147)
Epoch: [6][12330/14090]	Time 0.729 (0.748)	Data 0.002 (0.001)	Loss 2.8816 (2.8306)	Prec@1 29.688 (32.999)	Prec@5 60.938 (63.147)
Epoch: [6][12340/14090]	Time 0.759 (0.748)	Data 0.001 (0.001)	Loss 2.9530 (2.8307)	Prec@1 29.688 (32.998)	Prec@5 57.812 (63.146)
Epoch: [6][12350/14090]	Time 0.723 (0.748)	Data 0.001 (0.001)	Loss 2.7653 (2.8307)	Prec@1 36.719 (32.999)	Prec@5 64.844 (63.145)
Epoch: [6][12360/14090]	Time 0.735 (0.748)	Data 0.001 (0.001)	Loss 2.6269 (2.8307)	Prec@1 32.812 (32.998)	Prec@5 62.500 (63.144)
Epoch: [6][12370/14090]	Time 0.741 (0.748)	Data 0.001 (0.001)	Loss 3.0641 (2.8307)	Prec@1 28.125 (32.998)	Prec@5 61.719 (63.144)
Epoch: [6][12380/14090]	Time 0.723 (0.748)	Data 0.001 (0.001)	Loss 2.6798 (2.8307)	Prec@1 35.156 (32.998)	Prec@5 66.406 (63.144)
Epoch: [6][12390/14090]	Time 0.754 (0.748)	Data 0.001 (0.001)	Loss 2.9585 (2.8308)	Prec@1 32.812 (32.997)	Prec@5 65.625 (63.144)
Epoch: [6][12400/14090]	Time 0.739 (0.748)	Data 0.002 (0.001)	Loss 2.7414 (2.8307)	Prec@1 29.688 (32.999)	Prec@5 67.188 (63.146)
Epoch: [6][12410/14090]	Time 0.735 (0.748)	Data 0.001 (0.001)	Loss 2.6628 (2.8306)	Prec@1 28.125 (32.998)	Prec@5 70.312 (63.146)
Epoch: [6][12420/14090]	Time 0.730 (0.748)	Data 0.001 (0.001)	Loss 2.9076 (2.8306)	Prec@1 31.250 (32.998)	Prec@5 58.594 (63.147)
Epoch: [6][12430/14090]	Time 0.731 (0.748)	Data 0.001 (0.001)	Loss 2.8009 (2.8306)	Prec@1 29.688 (32.997)	Prec@5 69.531 (63.147)
Epoch: [6][12440/14090]	Time 0.739 (0.748)	Data 0.001 (0.001)	Loss 2.7831 (2.8307)	Prec@1 32.812 (32.996)	Prec@5 64.062 (63.147)
Epoch: [6][12450/14090]	Time 0.770 (0.748)	Data 0.001 (0.001)	Loss 2.6263 (2.8306)	Prec@1 39.062 (32.998)	Prec@5 69.531 (63.149)
Epoch: [6][12460/14090]	Time 0.727 (0.748)	Data 0.001 (0.001)	Loss 2.9200 (2.8306)	Prec@1 32.031 (32.998)	Prec@5 57.812 (63.148)
Epoch: [6][12470/14090]	Time 0.749 (0.748)	Data 0.002 (0.001)	Loss 2.4537 (2.8305)	Prec@1 40.625 (33.000)	Prec@5 70.312 (63.150)
Epoch: [6][12480/14090]	Time 0.761 (0.748)	Data 0.001 (0.001)	Loss 3.0999 (2.8305)	Prec@1 30.469 (32.998)	Prec@5 53.906 (63.147)
Epoch: [6][12490/14090]	Time 0.733 (0.748)	Data 0.001 (0.001)	Loss 2.6876 (2.8306)	Prec@1 35.938 (32.998)	Prec@5 67.188 (63.147)
Epoch: [6][12500/14090]	Time 0.739 (0.748)	Data 0.001 (0.001)	Loss 2.7030 (2.8306)	Prec@1 35.156 (32.997)	Prec@5 67.188 (63.146)
Epoch: [6][12510/14090]	Time 0.769 (0.748)	Data 0.001 (0.001)	Loss 2.9216 (2.8305)	Prec@1 31.250 (32.999)	Prec@5 60.938 (63.147)
Epoch: [6][12520/14090]	Time 0.733 (0.748)	Data 0.001 (0.001)	Loss 2.8843 (2.8305)	Prec@1 32.812 (32.999)	Prec@5 64.844 (63.148)
Epoch: [6][12530/14090]	Time 0.746 (0.748)	Data 0.001 (0.001)	Loss 2.7095 (2.8305)	Prec@1 35.156 (32.998)	Prec@5 63.281 (63.148)
Epoch: [6][12540/14090]	Time 0.729 (0.748)	Data 0.002 (0.001)	Loss 3.0279 (2.8305)	Prec@1 25.000 (32.999)	Prec@5 56.250 (63.146)
Epoch: [6][12550/14090]	Time 0.758 (0.748)	Data 0.001 (0.001)	Loss 2.7900 (2.8305)	Prec@1 32.031 (33.000)	Prec@5 63.281 (63.145)
Epoch: [6][12560/14090]	Time 0.762 (0.748)	Data 0.001 (0.001)	Loss 2.7623 (2.8305)	Prec@1 38.281 (33.001)	Prec@5 65.625 (63.145)
Epoch: [6][12570/14090]	Time 0.738 (0.748)	Data 0.001 (0.001)	Loss 2.6477 (2.8305)	Prec@1 35.938 (33.001)	Prec@5 70.312 (63.146)
Epoch: [6][12580/14090]	Time 0.778 (0.748)	Data 0.001 (0.001)	Loss 2.7456 (2.8305)	Prec@1 30.469 (33.002)	Prec@5 67.188 (63.147)
Epoch: [6][12590/14090]	Time 0.762 (0.748)	Data 0.001 (0.001)	Loss 2.7142 (2.8305)	Prec@1 34.375 (33.000)	Prec@5 67.969 (63.147)
Epoch: [6][12600/14090]	Time 0.756 (0.748)	Data 0.001 (0.001)	Loss 2.9737 (2.8305)	Prec@1 35.156 (33.000)	Prec@5 57.812 (63.147)
Epoch: [6][12610/14090]	Time 0.752 (0.748)	Data 0.002 (0.001)	Loss 2.9578 (2.8305)	Prec@1 25.781 (32.999)	Prec@5 61.719 (63.147)
Epoch: [6][12620/14090]	Time 0.738 (0.748)	Data 0.002 (0.001)	Loss 2.8222 (2.8305)	Prec@1 31.250 (33.001)	Prec@5 67.969 (63.148)
Epoch: [6][12630/14090]	Time 0.762 (0.748)	Data 0.001 (0.001)	Loss 3.1831 (2.8304)	Prec@1 28.906 (33.001)	Prec@5 57.031 (63.148)
Epoch: [6][12640/14090]	Time 0.732 (0.748)	Data 0.001 (0.001)	Loss 2.9165 (2.8304)	Prec@1 33.594 (33.001)	Prec@5 61.719 (63.148)
Epoch: [6][12650/14090]	Time 0.741 (0.748)	Data 0.001 (0.001)	Loss 2.9772 (2.8305)	Prec@1 30.469 (33.000)	Prec@5 59.375 (63.148)
Epoch: [6][12660/14090]	Time 0.731 (0.748)	Data 0.001 (0.001)	Loss 3.0585 (2.8304)	Prec@1 28.906 (33.001)	Prec@5 57.031 (63.148)
Epoch: [6][12670/14090]	Time 0.730 (0.748)	Data 0.001 (0.001)	Loss 3.0398 (2.8305)	Prec@1 25.781 (33.000)	Prec@5 58.594 (63.146)
Epoch: [6][12680/14090]	Time 0.755 (0.748)	Data 0.002 (0.001)	Loss 2.9957 (2.8306)	Prec@1 31.250 (32.998)	Prec@5 60.156 (63.144)
Epoch: [6][12690/14090]	Time 0.733 (0.748)	Data 0.001 (0.001)	Loss 2.8068 (2.8306)	Prec@1 31.250 (32.996)	Prec@5 61.719 (63.143)
Epoch: [6][12700/14090]	Time 0.741 (0.748)	Data 0.001 (0.001)	Loss 3.0791 (2.8307)	Prec@1 26.562 (32.996)	Prec@5 55.469 (63.142)
Epoch: [6][12710/14090]	Time 0.756 (0.748)	Data 0.001 (0.001)	Loss 2.5228 (2.8307)	Prec@1 39.062 (32.996)	Prec@5 69.531 (63.141)
Epoch: [6][12720/14090]	Time 0.741 (0.748)	Data 0.001 (0.001)	Loss 2.7432 (2.8307)	Prec@1 35.938 (32.995)	Prec@5 66.406 (63.140)
Epoch: [6][12730/14090]	Time 0.751 (0.748)	Data 0.001 (0.001)	Loss 3.0492 (2.8307)	Prec@1 26.562 (32.996)	Prec@5 59.375 (63.141)
Epoch: [6][12740/14090]	Time 0.760 (0.748)	Data 0.001 (0.001)	Loss 2.8553 (2.8308)	Prec@1 26.562 (32.992)	Prec@5 63.281 (63.140)
Epoch: [6][12750/14090]	Time 0.727 (0.748)	Data 0.002 (0.001)	Loss 2.7358 (2.8308)	Prec@1 32.031 (32.992)	Prec@5 65.625 (63.141)
Epoch: [6][12760/14090]	Time 0.722 (0.748)	Data 0.001 (0.001)	Loss 2.8591 (2.8308)	Prec@1 25.781 (32.992)	Prec@5 67.969 (63.139)
Epoch: [6][12770/14090]	Time 0.745 (0.748)	Data 0.001 (0.001)	Loss 3.1125 (2.8309)	Prec@1 19.531 (32.990)	Prec@5 60.156 (63.137)
Epoch: [6][12780/14090]	Time 0.779 (0.748)	Data 0.001 (0.001)	Loss 2.5740 (2.8309)	Prec@1 35.156 (32.991)	Prec@5 63.281 (63.136)
Epoch: [6][12790/14090]	Time 0.775 (0.748)	Data 0.001 (0.001)	Loss 2.6382 (2.8308)	Prec@1 34.375 (32.991)	Prec@5 64.844 (63.136)
Epoch: [6][12800/14090]	Time 0.736 (0.748)	Data 0.001 (0.001)	Loss 2.4604 (2.8308)	Prec@1 42.188 (32.992)	Prec@5 75.000 (63.136)
Epoch: [6][12810/14090]	Time 0.775 (0.748)	Data 0.001 (0.001)	Loss 3.0227 (2.8308)	Prec@1 28.125 (32.991)	Prec@5 64.062 (63.136)
Epoch: [6][12820/14090]	Time 0.732 (0.748)	Data 0.002 (0.001)	Loss 2.9628 (2.8309)	Prec@1 34.375 (32.992)	Prec@5 61.719 (63.136)
Epoch: [6][12830/14090]	Time 0.755 (0.748)	Data 0.001 (0.001)	Loss 2.9638 (2.8309)	Prec@1 30.469 (32.991)	Prec@5 62.500 (63.135)
Epoch: [6][12840/14090]	Time 0.753 (0.748)	Data 0.001 (0.001)	Loss 2.5766 (2.8309)	Prec@1 33.594 (32.990)	Prec@5 66.406 (63.135)
Epoch: [6][12850/14090]	Time 0.730 (0.748)	Data 0.001 (0.001)	Loss 2.8802 (2.8310)	Prec@1 35.938 (32.990)	Prec@5 61.719 (63.135)
Epoch: [6][12860/14090]	Time 0.752 (0.748)	Data 0.001 (0.001)	Loss 2.7568 (2.8310)	Prec@1 35.156 (32.989)	Prec@5 60.938 (63.133)
Epoch: [6][12870/14090]	Time 0.753 (0.748)	Data 0.001 (0.001)	Loss 2.8203 (2.8311)	Prec@1 35.938 (32.988)	Prec@5 62.500 (63.131)
Epoch: [6][12880/14090]	Time 0.733 (0.748)	Data 0.001 (0.001)	Loss 3.0702 (2.8311)	Prec@1 30.469 (32.989)	Prec@5 58.594 (63.131)
Epoch: [6][12890/14090]	Time 0.731 (0.748)	Data 0.002 (0.001)	Loss 3.0385 (2.8311)	Prec@1 28.906 (32.987)	Prec@5 59.375 (63.133)
Epoch: [6][12900/14090]	Time 0.753 (0.748)	Data 0.001 (0.001)	Loss 2.8118 (2.8311)	Prec@1 32.812 (32.987)	Prec@5 63.281 (63.133)
Epoch: [6][12910/14090]	Time 0.745 (0.748)	Data 0.002 (0.001)	Loss 2.7450 (2.8311)	Prec@1 34.375 (32.988)	Prec@5 64.062 (63.133)
Epoch: [6][12920/14090]	Time 0.747 (0.748)	Data 0.001 (0.001)	Loss 2.8984 (2.8311)	Prec@1 30.469 (32.988)	Prec@5 61.719 (63.134)
Epoch: [6][12930/14090]	Time 0.730 (0.748)	Data 0.001 (0.001)	Loss 2.5178 (2.8311)	Prec@1 34.375 (32.987)	Prec@5 70.312 (63.134)
Epoch: [6][12940/14090]	Time 0.718 (0.748)	Data 0.001 (0.001)	Loss 2.7409 (2.8310)	Prec@1 35.938 (32.988)	Prec@5 64.844 (63.134)
Epoch: [6][12950/14090]	Time 0.765 (0.748)	Data 0.001 (0.001)	Loss 3.0063 (2.8310)	Prec@1 35.156 (32.988)	Prec@5 57.812 (63.134)
Epoch: [6][12960/14090]	Time 0.764 (0.748)	Data 0.002 (0.001)	Loss 2.8691 (2.8311)	Prec@1 27.344 (32.987)	Prec@5 60.156 (63.133)
Epoch: [6][12970/14090]	Time 0.729 (0.748)	Data 0.001 (0.001)	Loss 2.8030 (2.8310)	Prec@1 33.594 (32.988)	Prec@5 66.406 (63.134)
Epoch: [6][12980/14090]	Time 0.760 (0.748)	Data 0.001 (0.001)	Loss 3.1521 (2.8311)	Prec@1 27.344 (32.987)	Prec@5 57.812 (63.134)
Epoch: [6][12990/14090]	Time 0.748 (0.748)	Data 0.001 (0.001)	Loss 3.1286 (2.8311)	Prec@1 25.000 (32.987)	Prec@5 58.594 (63.134)
Epoch: [6][13000/14090]	Time 0.754 (0.748)	Data 0.001 (0.001)	Loss 2.6692 (2.8310)	Prec@1 36.719 (32.987)	Prec@5 66.406 (63.134)
Epoch: [6][13010/14090]	Time 0.725 (0.748)	Data 0.001 (0.001)	Loss 2.6434 (2.8310)	Prec@1 34.375 (32.986)	Prec@5 66.406 (63.134)
Epoch: [6][13020/14090]	Time 0.753 (0.748)	Data 0.001 (0.001)	Loss 2.6896 (2.8310)	Prec@1 35.938 (32.987)	Prec@5 64.062 (63.134)
Epoch: [6][13030/14090]	Time 0.757 (0.748)	Data 0.002 (0.001)	Loss 2.6840 (2.8310)	Prec@1 34.375 (32.987)	Prec@5 68.750 (63.133)
Epoch: [6][13040/14090]	Time 0.751 (0.748)	Data 0.001 (0.001)	Loss 2.8326 (2.8310)	Prec@1 34.375 (32.988)	Prec@5 62.500 (63.134)
Epoch: [6][13050/14090]	Time 0.755 (0.748)	Data 0.001 (0.001)	Loss 2.9096 (2.8311)	Prec@1 32.812 (32.988)	Prec@5 61.719 (63.132)
Epoch: [6][13060/14090]	Time 0.742 (0.748)	Data 0.001 (0.001)	Loss 2.9158 (2.8311)	Prec@1 31.250 (32.985)	Prec@5 63.281 (63.131)
Epoch: [6][13070/14090]	Time 0.751 (0.748)	Data 0.001 (0.001)	Loss 2.6446 (2.8311)	Prec@1 36.719 (32.986)	Prec@5 71.094 (63.132)
Epoch: [6][13080/14090]	Time 0.760 (0.748)	Data 0.001 (0.001)	Loss 2.7460 (2.8311)	Prec@1 36.719 (32.986)	Prec@5 63.281 (63.133)
Epoch: [6][13090/14090]	Time 0.751 (0.748)	Data 0.001 (0.001)	Loss 2.9049 (2.8311)	Prec@1 32.031 (32.986)	Prec@5 60.156 (63.133)
Epoch: [6][13100/14090]	Time 0.734 (0.748)	Data 0.002 (0.001)	Loss 2.6826 (2.8311)	Prec@1 32.812 (32.987)	Prec@5 69.531 (63.133)
Epoch: [6][13110/14090]	Time 0.741 (0.748)	Data 0.001 (0.001)	Loss 2.7423 (2.8311)	Prec@1 39.062 (32.988)	Prec@5 64.844 (63.133)
Epoch: [6][13120/14090]	Time 0.770 (0.748)	Data 0.001 (0.001)	Loss 3.1953 (2.8311)	Prec@1 23.438 (32.986)	Prec@5 57.031 (63.133)
Epoch: [6][13130/14090]	Time 0.746 (0.748)	Data 0.001 (0.001)	Loss 3.0342 (2.8311)	Prec@1 28.906 (32.986)	Prec@5 57.031 (63.132)
Epoch: [6][13140/14090]	Time 0.763 (0.748)	Data 0.001 (0.001)	Loss 2.5299 (2.8310)	Prec@1 35.156 (32.985)	Prec@5 67.969 (63.133)
Epoch: [6][13150/14090]	Time 0.747 (0.748)	Data 0.001 (0.001)	Loss 2.8723 (2.8310)	Prec@1 32.812 (32.986)	Prec@5 62.500 (63.134)
Epoch: [6][13160/14090]	Time 0.734 (0.748)	Data 0.001 (0.001)	Loss 2.8103 (2.8310)	Prec@1 24.219 (32.985)	Prec@5 58.594 (63.135)
Epoch: [6][13170/14090]	Time 0.746 (0.748)	Data 0.002 (0.001)	Loss 3.0516 (2.8309)	Prec@1 26.562 (32.984)	Prec@5 58.594 (63.137)
Epoch: [6][13180/14090]	Time 0.737 (0.748)	Data 0.001 (0.001)	Loss 2.8523 (2.8308)	Prec@1 28.906 (32.985)	Prec@5 60.938 (63.137)
Epoch: [6][13190/14090]	Time 0.768 (0.748)	Data 0.001 (0.001)	Loss 2.6596 (2.8309)	Prec@1 33.594 (32.985)	Prec@5 70.312 (63.137)
Epoch: [6][13200/14090]	Time 0.731 (0.748)	Data 0.001 (0.001)	Loss 3.0616 (2.8308)	Prec@1 32.031 (32.986)	Prec@5 57.031 (63.137)
Epoch: [6][13210/14090]	Time 0.740 (0.748)	Data 0.001 (0.001)	Loss 2.6603 (2.8308)	Prec@1 41.406 (32.988)	Prec@5 64.062 (63.138)
Epoch: [6][13220/14090]	Time 0.745 (0.748)	Data 0.001 (0.001)	Loss 2.6771 (2.8307)	Prec@1 40.625 (32.990)	Prec@5 65.625 (63.140)
Epoch: [6][13230/14090]	Time 0.723 (0.748)	Data 0.001 (0.001)	Loss 2.8631 (2.8307)	Prec@1 35.938 (32.991)	Prec@5 60.938 (63.140)
Epoch: [6][13240/14090]	Time 0.752 (0.748)	Data 0.002 (0.001)	Loss 2.8665 (2.8307)	Prec@1 35.938 (32.992)	Prec@5 64.062 (63.140)
Epoch: [6][13250/14090]	Time 0.732 (0.748)	Data 0.001 (0.001)	Loss 2.7890 (2.8307)	Prec@1 28.906 (32.992)	Prec@5 58.594 (63.140)
Epoch: [6][13260/14090]	Time 0.724 (0.748)	Data 0.001 (0.001)	Loss 3.1997 (2.8307)	Prec@1 26.562 (32.990)	Prec@5 57.812 (63.138)
Epoch: [6][13270/14090]	Time 0.733 (0.748)	Data 0.001 (0.001)	Loss 2.6967 (2.8308)	Prec@1 34.375 (32.990)	Prec@5 68.750 (63.138)
Epoch: [6][13280/14090]	Time 0.730 (0.748)	Data 0.001 (0.001)	Loss 2.5595 (2.8307)	Prec@1 40.625 (32.990)	Prec@5 67.969 (63.138)
Epoch: [6][13290/14090]	Time 0.729 (0.748)	Data 0.001 (0.001)	Loss 2.8987 (2.8308)	Prec@1 36.719 (32.989)	Prec@5 63.281 (63.138)
Epoch: [6][13300/14090]	Time 0.757 (0.748)	Data 0.001 (0.001)	Loss 2.9187 (2.8307)	Prec@1 32.031 (32.991)	Prec@5 60.156 (63.139)
Epoch: [6][13310/14090]	Time 0.748 (0.748)	Data 0.002 (0.001)	Loss 2.5492 (2.8306)	Prec@1 28.906 (32.991)	Prec@5 75.000 (63.141)
Epoch: [6][13320/14090]	Time 0.749 (0.748)	Data 0.001 (0.001)	Loss 3.2478 (2.8306)	Prec@1 26.562 (32.992)	Prec@5 55.469 (63.142)
Epoch: [6][13330/14090]	Time 0.759 (0.748)	Data 0.001 (0.001)	Loss 2.8689 (2.8306)	Prec@1 29.688 (32.992)	Prec@5 60.938 (63.142)
Epoch: [6][13340/14090]	Time 0.725 (0.748)	Data 0.001 (0.001)	Loss 2.8335 (2.8307)	Prec@1 33.594 (32.992)	Prec@5 64.844 (63.140)
Epoch: [6][13350/14090]	Time 0.737 (0.748)	Data 0.001 (0.001)	Loss 2.8855 (2.8307)	Prec@1 31.250 (32.993)	Prec@5 63.281 (63.141)
Epoch: [6][13360/14090]	Time 0.732 (0.748)	Data 0.001 (0.001)	Loss 2.9390 (2.8307)	Prec@1 31.250 (32.992)	Prec@5 58.594 (63.140)
Epoch: [6][13370/14090]	Time 0.731 (0.748)	Data 0.001 (0.001)	Loss 2.6527 (2.8307)	Prec@1 38.281 (32.992)	Prec@5 67.969 (63.140)
Epoch: [6][13380/14090]	Time 0.733 (0.748)	Data 0.002 (0.001)	Loss 2.9661 (2.8307)	Prec@1 35.156 (32.993)	Prec@5 64.062 (63.140)
Epoch: [6][13390/14090]	Time 0.746 (0.748)	Data 0.001 (0.001)	Loss 2.6583 (2.8308)	Prec@1 37.500 (32.992)	Prec@5 65.625 (63.138)
Epoch: [6][13400/14090]	Time 0.738 (0.748)	Data 0.001 (0.001)	Loss 2.7803 (2.8308)	Prec@1 31.250 (32.992)	Prec@5 60.156 (63.137)
Epoch: [6][13410/14090]	Time 0.727 (0.748)	Data 0.001 (0.001)	Loss 2.6198 (2.8308)	Prec@1 36.719 (32.992)	Prec@5 63.281 (63.137)
Epoch: [6][13420/14090]	Time 0.747 (0.748)	Data 0.001 (0.001)	Loss 2.8636 (2.8307)	Prec@1 29.688 (32.991)	Prec@5 60.938 (63.139)
Epoch: [6][13430/14090]	Time 0.772 (0.748)	Data 0.001 (0.001)	Loss 2.7504 (2.8307)	Prec@1 28.125 (32.993)	Prec@5 60.156 (63.141)
Epoch: [6][13440/14090]	Time 0.751 (0.748)	Data 0.001 (0.001)	Loss 2.7636 (2.8307)	Prec@1 31.250 (32.992)	Prec@5 68.750 (63.142)
Epoch: [6][13450/14090]	Time 0.754 (0.748)	Data 0.002 (0.001)	Loss 2.9457 (2.8307)	Prec@1 33.594 (32.993)	Prec@5 63.281 (63.142)
Epoch: [6][13460/14090]	Time 0.731 (0.748)	Data 0.001 (0.001)	Loss 2.6466 (2.8308)	Prec@1 39.844 (32.993)	Prec@5 69.531 (63.141)
Epoch: [6][13470/14090]	Time 0.742 (0.748)	Data 0.001 (0.001)	Loss 2.8008 (2.8308)	Prec@1 31.250 (32.992)	Prec@5 64.844 (63.141)
Epoch: [6][13480/14090]	Time 0.729 (0.748)	Data 0.001 (0.001)	Loss 2.9103 (2.8308)	Prec@1 27.344 (32.993)	Prec@5 63.281 (63.142)
Epoch: [6][13490/14090]	Time 0.724 (0.748)	Data 0.001 (0.001)	Loss 2.7709 (2.8308)	Prec@1 35.938 (32.994)	Prec@5 62.500 (63.142)
Epoch: [6][13500/14090]	Time 0.745 (0.748)	Data 0.001 (0.001)	Loss 2.8753 (2.8308)	Prec@1 37.500 (32.994)	Prec@5 61.719 (63.143)
Epoch: [6][13510/14090]	Time 0.759 (0.748)	Data 0.001 (0.001)	Loss 2.8648 (2.8309)	Prec@1 32.031 (32.993)	Prec@5 61.719 (63.142)
Epoch: [6][13520/14090]	Time 0.735 (0.748)	Data 0.002 (0.001)	Loss 2.7500 (2.8309)	Prec@1 30.469 (32.991)	Prec@5 65.625 (63.141)
Epoch: [6][13530/14090]	Time 0.754 (0.748)	Data 0.001 (0.001)	Loss 2.9357 (2.8310)	Prec@1 32.812 (32.991)	Prec@5 58.594 (63.140)
Epoch: [6][13540/14090]	Time 0.725 (0.748)	Data 0.001 (0.001)	Loss 2.8086 (2.8310)	Prec@1 33.594 (32.992)	Prec@5 65.625 (63.142)
Epoch: [6][13550/14090]	Time 0.763 (0.748)	Data 0.001 (0.001)	Loss 2.6495 (2.8309)	Prec@1 33.594 (32.993)	Prec@5 67.188 (63.142)
Epoch: [6][13560/14090]	Time 0.772 (0.748)	Data 0.001 (0.001)	Loss 2.7650 (2.8309)	Prec@1 38.281 (32.993)	Prec@5 65.625 (63.143)
Epoch: [6][13570/14090]	Time 0.723 (0.748)	Data 0.001 (0.001)	Loss 2.8654 (2.8309)	Prec@1 34.375 (32.994)	Prec@5 62.500 (63.143)
Epoch: [6][13580/14090]	Time 0.757 (0.748)	Data 0.001 (0.001)	Loss 3.1982 (2.8309)	Prec@1 25.000 (32.995)	Prec@5 57.031 (63.143)
Epoch: [6][13590/14090]	Time 0.746 (0.748)	Data 0.002 (0.001)	Loss 3.0866 (2.8309)	Prec@1 34.375 (32.994)	Prec@5 55.469 (63.142)
Epoch: [6][13600/14090]	Time 0.749 (0.748)	Data 0.001 (0.001)	Loss 3.1429 (2.8309)	Prec@1 25.000 (32.992)	Prec@5 55.469 (63.143)
Epoch: [6][13610/14090]	Time 0.755 (0.748)	Data 0.001 (0.001)	Loss 2.7037 (2.8309)	Prec@1 31.250 (32.993)	Prec@5 65.625 (63.144)
Epoch: [6][13620/14090]	Time 0.744 (0.748)	Data 0.001 (0.001)	Loss 2.8449 (2.8309)	Prec@1 38.281 (32.994)	Prec@5 61.719 (63.145)
Epoch: [6][13630/14090]	Time 0.765 (0.748)	Data 0.001 (0.001)	Loss 2.6889 (2.8308)	Prec@1 40.625 (32.995)	Prec@5 67.969 (63.146)
Epoch: [6][13640/14090]	Time 0.763 (0.748)	Data 0.001 (0.001)	Loss 3.0258 (2.8308)	Prec@1 28.125 (32.995)	Prec@5 62.500 (63.146)
Epoch: [6][13650/14090]	Time 0.753 (0.748)	Data 0.001 (0.001)	Loss 2.9191 (2.8308)	Prec@1 32.812 (32.996)	Prec@5 61.719 (63.147)
Epoch: [6][13660/14090]	Time 0.752 (0.748)	Data 0.002 (0.001)	Loss 2.6367 (2.8308)	Prec@1 35.938 (32.997)	Prec@5 67.969 (63.149)
Epoch: [6][13670/14090]	Time 0.754 (0.748)	Data 0.001 (0.001)	Loss 2.5660 (2.8307)	Prec@1 39.062 (32.997)	Prec@5 68.750 (63.150)
Epoch: [6][13680/14090]	Time 0.742 (0.748)	Data 0.001 (0.001)	Loss 2.8928 (2.8307)	Prec@1 28.906 (32.997)	Prec@5 58.594 (63.151)
Epoch: [6][13690/14090]	Time 0.737 (0.748)	Data 0.001 (0.001)	Loss 3.0584 (2.8307)	Prec@1 27.344 (32.997)	Prec@5 58.594 (63.150)
Epoch: [6][13700/14090]	Time 0.753 (0.748)	Data 0.001 (0.001)	Loss 2.8813 (2.8307)	Prec@1 25.000 (32.997)	Prec@5 63.281 (63.151)
Epoch: [6][13710/14090]	Time 0.737 (0.748)	Data 0.001 (0.001)	Loss 2.6165 (2.8306)	Prec@1 39.844 (32.999)	Prec@5 67.969 (63.152)
Epoch: [6][13720/14090]	Time 0.757 (0.748)	Data 0.001 (0.001)	Loss 2.6875 (2.8307)	Prec@1 37.500 (32.998)	Prec@5 68.750 (63.151)
Epoch: [6][13730/14090]	Time 0.754 (0.748)	Data 0.002 (0.001)	Loss 3.0234 (2.8307)	Prec@1 26.562 (32.997)	Prec@5 63.281 (63.151)
Epoch: [6][13740/14090]	Time 0.734 (0.748)	Data 0.001 (0.001)	Loss 2.7318 (2.8307)	Prec@1 36.719 (32.998)	Prec@5 69.531 (63.153)
Epoch: [6][13750/14090]	Time 0.764 (0.748)	Data 0.001 (0.001)	Loss 2.8937 (2.8307)	Prec@1 25.781 (32.998)	Prec@5 57.812 (63.151)
Epoch: [6][13760/14090]	Time 0.735 (0.748)	Data 0.001 (0.001)	Loss 2.8811 (2.8306)	Prec@1 35.156 (32.999)	Prec@5 58.594 (63.152)
Epoch: [6][13770/14090]	Time 0.747 (0.748)	Data 0.001 (0.001)	Loss 2.7396 (2.8305)	Prec@1 35.156 (33.002)	Prec@5 69.531 (63.154)
Epoch: [6][13780/14090]	Time 0.750 (0.748)	Data 0.001 (0.001)	Loss 2.9501 (2.8306)	Prec@1 37.500 (33.001)	Prec@5 54.688 (63.154)
Epoch: [6][13790/14090]	Time 0.759 (0.748)	Data 0.001 (0.001)	Loss 2.8021 (2.8306)	Prec@1 30.469 (33.001)	Prec@5 66.406 (63.154)
Epoch: [6][13800/14090]	Time 0.733 (0.748)	Data 0.002 (0.001)	Loss 2.8282 (2.8306)	Prec@1 32.031 (33.000)	Prec@5 63.281 (63.154)
Epoch: [6][13810/14090]	Time 0.759 (0.748)	Data 0.003 (0.001)	Loss 2.4311 (2.8305)	Prec@1 40.625 (33.002)	Prec@5 67.969 (63.156)
Epoch: [6][13820/14090]	Time 0.727 (0.748)	Data 0.001 (0.001)	Loss 3.0430 (2.8305)	Prec@1 29.688 (33.003)	Prec@5 59.375 (63.155)
Epoch: [6][13830/14090]	Time 0.728 (0.748)	Data 0.001 (0.001)	Loss 2.9201 (2.8304)	Prec@1 31.250 (33.004)	Prec@5 62.500 (63.156)
Epoch: [6][13840/14090]	Time 0.752 (0.748)	Data 0.001 (0.001)	Loss 2.6445 (2.8304)	Prec@1 35.938 (33.003)	Prec@5 63.281 (63.156)
Epoch: [6][13850/14090]	Time 0.745 (0.748)	Data 0.001 (0.001)	Loss 2.6307 (2.8304)	Prec@1 33.594 (33.004)	Prec@5 68.750 (63.156)
Epoch: [6][13860/14090]	Time 0.765 (0.748)	Data 0.001 (0.001)	Loss 2.9420 (2.8304)	Prec@1 34.375 (33.003)	Prec@5 60.156 (63.156)
Epoch: [6][13870/14090]	Time 0.749 (0.748)	Data 0.002 (0.001)	Loss 3.0646 (2.8304)	Prec@1 32.812 (33.005)	Prec@5 58.594 (63.154)
Epoch: [6][13880/14090]	Time 0.723 (0.748)	Data 0.001 (0.001)	Loss 2.4265 (2.8304)	Prec@1 43.750 (33.007)	Prec@5 68.750 (63.156)
Epoch: [6][13890/14090]	Time 0.771 (0.748)	Data 0.001 (0.001)	Loss 2.6656 (2.8304)	Prec@1 32.812 (33.008)	Prec@5 68.750 (63.156)
Epoch: [6][13900/14090]	Time 0.733 (0.748)	Data 0.001 (0.001)	Loss 3.0363 (2.8304)	Prec@1 29.688 (33.006)	Prec@5 59.375 (63.155)
Epoch: [6][13910/14090]	Time 0.745 (0.748)	Data 0.001 (0.001)	Loss 2.8451 (2.8304)	Prec@1 30.469 (33.006)	Prec@5 64.062 (63.156)
Epoch: [6][13920/14090]	Time 0.746 (0.748)	Data 0.001 (0.001)	Loss 3.1465 (2.8304)	Prec@1 23.438 (33.005)	Prec@5 57.812 (63.155)
Epoch: [6][13930/14090]	Time 0.729 (0.748)	Data 0.001 (0.001)	Loss 3.0192 (2.8304)	Prec@1 27.344 (33.005)	Prec@5 61.719 (63.156)
Epoch: [6][13940/14090]	Time 0.744 (0.748)	Data 0.002 (0.001)	Loss 2.6582 (2.8303)	Prec@1 35.156 (33.006)	Prec@5 66.406 (63.157)
Epoch: [6][13950/14090]	Time 0.733 (0.748)	Data 0.001 (0.001)	Loss 2.9867 (2.8304)	Prec@1 30.469 (33.005)	Prec@5 62.500 (63.157)
Epoch: [6][13960/14090]	Time 0.752 (0.748)	Data 0.001 (0.001)	Loss 3.1056 (2.8304)	Prec@1 31.250 (33.005)	Prec@5 57.812 (63.157)
Epoch: [6][13970/14090]	Time 0.747 (0.748)	Data 0.001 (0.001)	Loss 2.9218 (2.8304)	Prec@1 35.938 (33.006)	Prec@5 60.156 (63.157)
Epoch: [6][13980/14090]	Time 0.753 (0.748)	Data 0.001 (0.001)	Loss 3.0263 (2.8304)	Prec@1 32.812 (33.006)	Prec@5 62.500 (63.157)
Epoch: [6][13990/14090]	Time 0.772 (0.748)	Data 0.001 (0.001)	Loss 2.8533 (2.8304)	Prec@1 35.156 (33.007)	Prec@5 62.500 (63.156)
Epoch: [6][14000/14090]	Time 0.742 (0.748)	Data 0.001 (0.001)	Loss 3.0827 (2.8304)	Prec@1 26.562 (33.007)	Prec@5 57.812 (63.156)
Epoch: [6][14010/14090]	Time 0.756 (0.748)	Data 0.002 (0.001)	Loss 2.9027 (2.8304)	Prec@1 29.688 (33.006)	Prec@5 57.031 (63.155)
Epoch: [6][14020/14090]	Time 0.775 (0.748)	Data 0.001 (0.001)	Loss 2.9294 (2.8305)	Prec@1 25.000 (33.006)	Prec@5 62.500 (63.156)
Epoch: [6][14030/14090]	Time 0.763 (0.748)	Data 0.001 (0.001)	Loss 2.6940 (2.8305)	Prec@1 33.594 (33.005)	Prec@5 64.844 (63.155)
Epoch: [6][14040/14090]	Time 0.737 (0.748)	Data 0.001 (0.001)	Loss 2.8839 (2.8305)	Prec@1 34.375 (33.005)	Prec@5 58.594 (63.154)
Epoch: [6][14050/14090]	Time 0.734 (0.748)	Data 0.001 (0.001)	Loss 2.7114 (2.8305)	Prec@1 37.500 (33.005)	Prec@5 64.062 (63.154)
Epoch: [6][14060/14090]	Time 0.754 (0.748)	Data 0.001 (0.001)	Loss 2.6714 (2.8305)	Prec@1 37.500 (33.006)	Prec@5 60.156 (63.155)
Epoch: [6][14070/14090]	Time 0.767 (0.748)	Data 0.001 (0.001)	Loss 2.8563 (2.8305)	Prec@1 31.250 (33.007)	Prec@5 64.844 (63.155)
Epoch: [6][14080/14090]	Time 0.726 (0.748)	Data 0.000 (0.001)	Loss 2.8311 (2.8305)	Prec@1 32.031 (33.007)	Prec@5 62.500 (63.154)
Test: [0/286]	Time 2.790 (2.790)	Loss 1.6621 (1.6621)	Prec@1 53.125 (53.125)	Prec@5 92.188 (92.188)
Test: [10/286]	Time 0.225 (0.480)	Loss 2.0798 (2.3820)	Prec@1 47.656 (40.980)	Prec@5 75.000 (72.940)
Test: [20/286]	Time 0.235 (0.367)	Loss 2.1004 (2.3630)	Prec@1 46.875 (41.927)	Prec@5 80.469 (72.582)
Test: [30/286]	Time 0.237 (0.331)	Loss 2.6958 (2.3506)	Prec@1 30.469 (42.616)	Prec@5 67.188 (72.480)
Test: [40/286]	Time 0.233 (0.311)	Loss 2.3767 (2.3723)	Prec@1 34.375 (41.787)	Prec@5 72.656 (72.066)
Test: [50/286]	Time 0.276 (0.301)	Loss 1.2001 (2.3885)	Prec@1 76.562 (40.962)	Prec@5 86.719 (72.411)
Test: [60/286]	Time 0.252 (0.293)	Loss 3.4148 (2.4351)	Prec@1 19.531 (40.138)	Prec@5 53.125 (71.222)
Test: [70/286]	Time 0.242 (0.287)	Loss 1.9528 (2.4416)	Prec@1 54.688 (39.536)	Prec@5 80.469 (71.182)
Test: [80/286]	Time 0.242 (0.284)	Loss 2.5739 (2.4870)	Prec@1 37.500 (38.513)	Prec@5 73.438 (70.226)
Test: [90/286]	Time 0.246 (0.280)	Loss 3.4019 (2.5252)	Prec@1 21.875 (37.483)	Prec@5 53.906 (69.712)
Test: [100/286]	Time 0.265 (0.277)	Loss 2.4676 (2.5012)	Prec@1 32.031 (37.941)	Prec@5 67.969 (70.282)
Test: [110/286]	Time 0.279 (0.275)	Loss 2.5682 (2.5060)	Prec@1 37.500 (37.838)	Prec@5 67.969 (70.341)
Test: [120/286]	Time 0.286 (0.273)	Loss 3.2499 (2.5011)	Prec@1 28.906 (38.171)	Prec@5 51.562 (70.396)
Test: [130/286]	Time 0.245 (0.271)	Loss 1.4732 (2.4987)	Prec@1 61.719 (38.442)	Prec@5 86.719 (70.277)
Test: [140/286]	Time 0.240 (0.270)	Loss 2.8331 (2.4851)	Prec@1 35.938 (38.630)	Prec@5 64.844 (70.656)
Test: [150/286]	Time 0.233 (0.268)	Loss 3.5004 (2.4891)	Prec@1 14.844 (38.354)	Prec@5 49.219 (70.732)
Test: [160/286]	Time 0.246 (0.267)	Loss 3.7849 (2.4991)	Prec@1 9.375 (38.068)	Prec@5 37.500 (70.516)
Test: [170/286]	Time 0.321 (0.266)	Loss 2.3673 (2.4875)	Prec@1 34.375 (38.295)	Prec@5 71.094 (70.719)
Test: [180/286]	Time 0.232 (0.265)	Loss 2.6330 (2.4865)	Prec@1 43.750 (38.290)	Prec@5 67.969 (70.843)
Test: [190/286]	Time 0.230 (0.264)	Loss 3.5584 (2.5026)	Prec@1 6.250 (38.011)	Prec@5 52.344 (70.558)
Test: [200/286]	Time 0.248 (0.263)	Loss 2.3163 (2.5059)	Prec@1 46.875 (37.904)	Prec@5 75.781 (70.476)
Test: [210/286]	Time 0.232 (0.262)	Loss 2.5270 (2.5114)	Prec@1 34.375 (37.726)	Prec@5 73.438 (70.405)
Test: [220/286]	Time 0.319 (0.262)	Loss 3.5113 (2.5211)	Prec@1 13.281 (37.525)	Prec@5 45.312 (70.160)
Test: [230/286]	Time 0.251 (0.262)	Loss 1.9358 (2.5260)	Prec@1 54.688 (37.507)	Prec@5 78.906 (69.998)
Test: [240/286]	Time 0.268 (0.262)	Loss 1.8043 (2.5176)	Prec@1 55.469 (37.831)	Prec@5 83.594 (70.170)
Test: [250/286]	Time 0.245 (0.262)	Loss 2.4722 (2.5077)	Prec@1 28.906 (37.733)	Prec@5 72.656 (70.415)
Test: [260/286]	Time 0.231 (0.261)	Loss 3.0013 (2.5030)	Prec@1 23.438 (37.838)	Prec@5 60.156 (70.528)
Test: [270/286]	Time 0.341 (0.261)	Loss 2.1630 (2.5052)	Prec@1 46.094 (37.832)	Prec@5 73.438 (70.491)
Test: [280/286]	Time 0.255 (0.261)	Loss 1.8692 (2.4913)	Prec@1 58.594 (38.315)	Prec@5 83.594 (70.741)
 * Prec@1 38.497 Prec@5 70.791
Epoch: [7][0/14090]	Time 3.995 (3.995)	Data 3.238 (3.238)	Loss 2.6905 (2.6905)	Prec@1 35.156 (35.156)	Prec@5 62.500 (62.500)
Epoch: [7][10/14090]	Time 0.723 (1.041)	Data 0.001 (0.295)	Loss 2.9674 (2.8176)	Prec@1 32.812 (34.233)	Prec@5 55.469 (63.565)
Epoch: [7][20/14090]	Time 0.724 (0.900)	Data 0.001 (0.155)	Loss 2.8679 (2.7919)	Prec@1 29.688 (34.077)	Prec@5 62.500 (64.583)
Epoch: [7][30/14090]	Time 0.735 (0.856)	Data 0.001 (0.105)	Loss 2.6344 (2.8240)	Prec@1 36.719 (33.644)	Prec@5 68.750 (63.735)
Epoch: [7][40/14090]	Time 0.722 (0.831)	Data 0.001 (0.080)	Loss 2.6064 (2.8317)	Prec@1 36.719 (33.594)	Prec@5 67.188 (63.434)
Epoch: [7][50/14090]	Time 0.761 (0.817)	Data 0.002 (0.064)	Loss 2.6169 (2.8383)	Prec@1 36.719 (33.287)	Prec@5 64.844 (63.097)
Epoch: [7][60/14090]	Time 0.765 (0.806)	Data 0.001 (0.054)	Loss 3.0271 (2.8420)	Prec@1 25.000 (32.774)	Prec@5 57.812 (63.179)
Epoch: [7][70/14090]	Time 0.731 (0.796)	Data 0.001 (0.047)	Loss 3.3289 (2.8499)	Prec@1 22.656 (32.438)	Prec@5 48.438 (62.984)
Epoch: [7][80/14090]	Time 0.734 (0.790)	Data 0.001 (0.041)	Loss 2.9681 (2.8434)	Prec@1 32.812 (32.677)	Prec@5 61.719 (63.137)
Epoch: [7][90/14090]	Time 0.730 (0.786)	Data 0.001 (0.037)	Loss 2.8180 (2.8326)	Prec@1 38.281 (32.898)	Prec@5 61.719 (63.367)
Epoch: [7][100/14090]	Time 0.722 (0.782)	Data 0.001 (0.033)	Loss 2.7029 (2.8243)	Prec@1 29.688 (32.905)	Prec@5 69.531 (63.521)
Epoch: [7][110/14090]	Time 0.737 (0.778)	Data 0.001 (0.030)	Loss 2.6743 (2.8162)	Prec@1 36.719 (33.031)	Prec@5 65.625 (63.675)
Epoch: [7][120/14090]	Time 0.778 (0.777)	Data 0.002 (0.028)	Loss 2.8210 (2.8168)	Prec@1 30.469 (32.993)	Prec@5 61.719 (63.617)
Epoch: [7][130/14090]	Time 0.741 (0.774)	Data 0.001 (0.026)	Loss 2.6540 (2.8119)	Prec@1 42.188 (33.141)	Prec@5 65.625 (63.776)
Epoch: [7][140/14090]	Time 0.768 (0.772)	Data 0.001 (0.024)	Loss 2.6645 (2.8139)	Prec@1 31.250 (33.223)	Prec@5 66.406 (63.669)
Epoch: [7][150/14090]	Time 0.764 (0.771)	Data 0.001 (0.022)	Loss 2.9120 (2.8181)	Prec@1 26.562 (33.050)	Prec@5 61.719 (63.581)
Epoch: [7][160/14090]	Time 0.754 (0.771)	Data 0.001 (0.021)	Loss 2.8018 (2.8222)	Prec@1 34.375 (32.924)	Prec@5 60.938 (63.475)
Epoch: [7][170/14090]	Time 0.771 (0.769)	Data 0.001 (0.020)	Loss 2.9255 (2.8220)	Prec@1 33.594 (32.950)	Prec@5 63.281 (63.441)
Epoch: [7][180/14090]	Time 0.752 (0.768)	Data 0.001 (0.019)	Loss 2.7795 (2.8233)	Prec@1 30.469 (32.972)	Prec@5 71.094 (63.484)
Epoch: [7][190/14090]	Time 0.757 (0.766)	Data 0.002 (0.018)	Loss 2.7597 (2.8183)	Prec@1 35.156 (33.103)	Prec@5 64.062 (63.490)
Epoch: [7][200/14090]	Time 0.752 (0.766)	Data 0.001 (0.017)	Loss 2.7589 (2.8167)	Prec@1 33.594 (33.143)	Prec@5 65.625 (63.538)
Epoch: [7][210/14090]	Time 0.739 (0.765)	Data 0.001 (0.016)	Loss 2.9279 (2.8118)	Prec@1 28.125 (33.249)	Prec@5 55.469 (63.515)
Epoch: [7][220/14090]	Time 0.736 (0.764)	Data 0.001 (0.016)	Loss 2.8951 (2.8136)	Prec@1 31.250 (33.258)	Prec@5 67.188 (63.483)
Epoch: [7][230/14090]	Time 0.754 (0.764)	Data 0.001 (0.015)	Loss 2.7018 (2.8148)	Prec@1 39.844 (33.235)	Prec@5 67.188 (63.464)
Epoch: [7][240/14090]	Time 0.758 (0.763)	Data 0.001 (0.014)	Loss 2.9480 (2.8156)	Prec@1 32.031 (33.250)	Prec@5 57.812 (63.473)
Epoch: [7][250/14090]	Time 0.732 (0.762)	Data 0.001 (0.014)	Loss 3.0271 (2.8172)	Prec@1 29.688 (33.298)	Prec@5 56.250 (63.409)
Epoch: [7][260/14090]	Time 0.777 (0.762)	Data 0.002 (0.013)	Loss 2.8041 (2.8167)	Prec@1 36.719 (33.315)	Prec@5 59.375 (63.356)
Epoch: [7][270/14090]	Time 0.761 (0.762)	Data 0.001 (0.013)	Loss 2.6732 (2.8181)	Prec@1 35.156 (33.259)	Prec@5 71.875 (63.388)
Epoch: [7][280/14090]	Time 0.759 (0.761)	Data 0.002 (0.013)	Loss 2.4561 (2.8164)	Prec@1 42.969 (33.266)	Prec@5 71.094 (63.395)
Epoch: [7][290/14090]	Time 0.730 (0.760)	Data 0.001 (0.012)	Loss 2.5948 (2.8160)	Prec@1 40.625 (33.261)	Prec@5 69.531 (63.373)
Epoch: [7][300/14090]	Time 0.730 (0.760)	Data 0.001 (0.012)	Loss 2.8259 (2.8183)	Prec@1 28.906 (33.251)	Prec@5 60.156 (63.320)
Epoch: [7][310/14090]	Time 0.758 (0.760)	Data 0.001 (0.011)	Loss 2.7600 (2.8209)	Prec@1 32.812 (33.237)	Prec@5 66.406 (63.244)
Epoch: [7][320/14090]	Time 0.734 (0.759)	Data 0.001 (0.011)	Loss 3.1708 (2.8228)	Prec@1 28.125 (33.192)	Prec@5 59.375 (63.208)
Epoch: [7][330/14090]	Time 0.740 (0.759)	Data 0.002 (0.011)	Loss 2.8789 (2.8218)	Prec@1 33.594 (33.171)	Prec@5 60.156 (63.208)
Epoch: [7][340/14090]	Time 0.733 (0.759)	Data 0.001 (0.011)	Loss 3.0243 (2.8232)	Prec@1 25.000 (33.165)	Prec@5 56.250 (63.199)
Epoch: [7][350/14090]	Time 0.745 (0.758)	Data 0.001 (0.010)	Loss 2.7662 (2.8197)	Prec@1 33.594 (33.215)	Prec@5 64.844 (63.281)
Epoch: [7][360/14090]	Time 0.737 (0.758)	Data 0.001 (0.010)	Loss 2.6677 (2.8194)	Prec@1 34.375 (33.178)	Prec@5 67.969 (63.340)
Epoch: [7][370/14090]	Time 0.736 (0.758)	Data 0.001 (0.010)	Loss 2.8500 (2.8208)	Prec@1 34.375 (33.143)	Prec@5 64.844 (63.309)
Epoch: [7][380/14090]	Time 0.757 (0.758)	Data 0.001 (0.010)	Loss 2.4740 (2.8195)	Prec@1 40.625 (33.175)	Prec@5 70.312 (63.345)
Epoch: [7][390/14090]	Time 0.734 (0.758)	Data 0.001 (0.009)	Loss 2.9035 (2.8199)	Prec@1 29.688 (33.170)	Prec@5 64.844 (63.315)
Epoch: [7][400/14090]	Time 0.734 (0.757)	Data 0.003 (0.009)	Loss 2.7323 (2.8202)	Prec@1 35.156 (33.192)	Prec@5 61.719 (63.307)
Epoch: [7][410/14090]	Time 0.731 (0.757)	Data 0.001 (0.009)	Loss 2.7524 (2.8212)	Prec@1 39.062 (33.214)	Prec@5 64.844 (63.293)
Epoch: [7][420/14090]	Time 0.754 (0.756)	Data 0.001 (0.009)	Loss 2.6413 (2.8214)	Prec@1 35.938 (33.163)	Prec@5 63.281 (63.313)
Epoch: [7][430/14090]	Time 0.757 (0.756)	Data 0.001 (0.009)	Loss 2.9077 (2.8221)	Prec@1 30.469 (33.126)	Prec@5 58.594 (63.258)
Epoch: [7][440/14090]	Time 0.747 (0.756)	Data 0.001 (0.008)	Loss 2.8266 (2.8217)	Prec@1 38.281 (33.154)	Prec@5 59.375 (63.260)
Epoch: [7][450/14090]	Time 0.761 (0.756)	Data 0.001 (0.008)	Loss 2.7678 (2.8210)	Prec@1 32.031 (33.154)	Prec@5 64.062 (63.247)
Epoch: [7][460/14090]	Time 0.767 (0.756)	Data 0.001 (0.008)	Loss 2.7172 (2.8202)	Prec@1 37.500 (33.192)	Prec@5 66.406 (63.281)
Epoch: [7][470/14090]	Time 0.732 (0.756)	Data 0.002 (0.008)	Loss 2.7446 (2.8203)	Prec@1 33.594 (33.206)	Prec@5 66.406 (63.296)
Epoch: [7][480/14090]	Time 0.773 (0.756)	Data 0.001 (0.008)	Loss 2.6550 (2.8179)	Prec@1 32.031 (33.258)	Prec@5 63.281 (63.358)
Epoch: [7][490/14090]	Time 0.770 (0.756)	Data 0.001 (0.008)	Loss 2.8051 (2.8165)	Prec@1 35.156 (33.309)	Prec@5 63.281 (63.409)
Epoch: [7][500/14090]	Time 0.741 (0.756)	Data 0.001 (0.007)	Loss 3.2445 (2.8171)	Prec@1 25.781 (33.299)	Prec@5 54.688 (63.409)
Epoch: [7][510/14090]	Time 0.748 (0.755)	Data 0.001 (0.007)	Loss 2.9238 (2.8164)	Prec@1 30.469 (33.329)	Prec@5 63.281 (63.440)
Epoch: [7][520/14090]	Time 0.753 (0.755)	Data 0.001 (0.007)	Loss 2.9532 (2.8166)	Prec@1 28.125 (33.328)	Prec@5 60.938 (63.430)
Epoch: [7][530/14090]	Time 0.742 (0.755)	Data 0.001 (0.007)	Loss 2.7615 (2.8153)	Prec@1 25.000 (33.325)	Prec@5 61.719 (63.445)
Epoch: [7][540/14090]	Time 0.724 (0.755)	Data 0.002 (0.007)	Loss 2.8233 (2.8131)	Prec@1 35.156 (33.386)	Prec@5 63.281 (63.508)
Epoch: [7][550/14090]	Time 0.754 (0.755)	Data 0.001 (0.007)	Loss 2.6911 (2.8154)	Prec@1 27.344 (33.340)	Prec@5 71.094 (63.466)
Epoch: [7][560/14090]	Time 0.774 (0.755)	Data 0.001 (0.007)	Loss 2.9364 (2.8168)	Prec@1 31.250 (33.300)	Prec@5 63.281 (63.454)
Epoch: [7][570/14090]	Time 0.763 (0.755)	Data 0.001 (0.007)	Loss 2.9116 (2.8161)	Prec@1 28.906 (33.278)	Prec@5 60.938 (63.476)
Epoch: [7][580/14090]	Time 0.741 (0.755)	Data 0.001 (0.007)	Loss 2.6324 (2.8154)	Prec@1 39.844 (33.282)	Prec@5 64.062 (63.478)
Epoch: [7][590/14090]	Time 0.754 (0.755)	Data 0.001 (0.006)	Loss 2.7285 (2.8155)	Prec@1 31.250 (33.295)	Prec@5 67.969 (63.461)
Epoch: [7][600/14090]	Time 0.740 (0.755)	Data 0.001 (0.006)	Loss 2.9025 (2.8153)	Prec@1 36.719 (33.330)	Prec@5 66.406 (63.475)
Epoch: [7][610/14090]	Time 0.750 (0.754)	Data 0.002 (0.006)	Loss 2.8442 (2.8178)	Prec@1 30.469 (33.268)	Prec@5 67.969 (63.442)
Epoch: [7][620/14090]	Time 0.729 (0.754)	Data 0.001 (0.006)	Loss 3.1003 (2.8188)	Prec@1 24.219 (33.252)	Prec@5 56.250 (63.420)
Epoch: [7][630/14090]	Time 0.724 (0.754)	Data 0.001 (0.006)	Loss 2.5492 (2.8191)	Prec@1 39.844 (33.231)	Prec@5 69.531 (63.409)
Epoch: [7][640/14090]	Time 0.736 (0.754)	Data 0.001 (0.006)	Loss 3.0471 (2.8191)	Prec@1 25.781 (33.242)	Prec@5 58.594 (63.407)
Epoch: [7][650/14090]	Time 0.757 (0.754)	Data 0.001 (0.006)	Loss 2.8660 (2.8198)	Prec@1 32.812 (33.224)	Prec@5 60.156 (63.396)
Epoch: [7][660/14090]	Time 0.732 (0.754)	Data 0.001 (0.006)	Loss 2.7273 (2.8194)	Prec@1 37.500 (33.247)	Prec@5 68.750 (63.417)
Epoch: [7][670/14090]	Time 0.754 (0.754)	Data 0.001 (0.006)	Loss 2.8860 (2.8209)	Prec@1 34.375 (33.243)	Prec@5 59.375 (63.386)
Epoch: [7][680/14090]	Time 0.731 (0.754)	Data 0.002 (0.006)	Loss 2.8043 (2.8199)	Prec@1 36.719 (33.255)	Prec@5 63.281 (63.394)
Epoch: [7][690/14090]	Time 0.751 (0.754)	Data 0.001 (0.006)	Loss 2.7631 (2.8196)	Prec@1 42.188 (33.257)	Prec@5 66.406 (63.415)
Epoch: [7][700/14090]	Time 0.743 (0.754)	Data 0.001 (0.006)	Loss 2.8693 (2.8201)	Prec@1 38.281 (33.258)	Prec@5 60.938 (63.398)
Epoch: [7][710/14090]	Time 0.757 (0.754)	Data 0.001 (0.006)	Loss 2.5915 (2.8203)	Prec@1 39.062 (33.269)	Prec@5 69.531 (63.399)
Epoch: [7][720/14090]	Time 0.751 (0.753)	Data 0.001 (0.006)	Loss 2.5851 (2.8205)	Prec@1 41.406 (33.280)	Prec@5 66.406 (63.367)
Epoch: [7][730/14090]	Time 0.757 (0.753)	Data 0.001 (0.005)	Loss 2.7213 (2.8212)	Prec@1 33.594 (33.288)	Prec@5 60.938 (63.330)
Epoch: [7][740/14090]	Time 0.782 (0.753)	Data 0.001 (0.005)	Loss 2.5390 (2.8202)	Prec@1 35.938 (33.313)	Prec@5 71.094 (63.338)
Epoch: [7][750/14090]	Time 0.751 (0.753)	Data 0.002 (0.005)	Loss 2.7621 (2.8190)	Prec@1 32.031 (33.348)	Prec@5 65.625 (63.362)
Epoch: [7][760/14090]	Time 0.738 (0.753)	Data 0.001 (0.005)	Loss 2.7372 (2.8185)	Prec@1 39.062 (33.361)	Prec@5 65.625 (63.370)
Epoch: [7][770/14090]	Time 0.725 (0.753)	Data 0.001 (0.005)	Loss 2.8949 (2.8200)	Prec@1 27.344 (33.304)	Prec@5 62.500 (63.328)
Epoch: [7][780/14090]	Time 0.730 (0.753)	Data 0.001 (0.005)	Loss 2.5983 (2.8199)	Prec@1 40.625 (33.332)	Prec@5 71.875 (63.316)
Epoch: [7][790/14090]	Time 0.729 (0.753)	Data 0.001 (0.005)	Loss 2.6782 (2.8199)	Prec@1 33.594 (33.348)	Prec@5 69.531 (63.332)
Epoch: [7][800/14090]	Time 0.726 (0.753)	Data 0.001 (0.005)	Loss 3.0030 (2.8199)	Prec@1 28.125 (33.335)	Prec@5 60.156 (63.322)
Epoch: [7][810/14090]	Time 0.758 (0.753)	Data 0.001 (0.005)	Loss 2.9028 (2.8189)	Prec@1 34.375 (33.343)	Prec@5 59.375 (63.341)
Epoch: [7][820/14090]	Time 0.750 (0.753)	Data 0.002 (0.005)	Loss 2.8766 (2.8182)	Prec@1 29.688 (33.373)	Prec@5 60.156 (63.349)
Epoch: [7][830/14090]	Time 0.758 (0.753)	Data 0.001 (0.005)	Loss 2.7273 (2.8191)	Prec@1 39.062 (33.373)	Prec@5 69.531 (63.330)
Epoch: [7][840/14090]	Time 0.767 (0.753)	Data 0.001 (0.005)	Loss 2.5985 (2.8184)	Prec@1 34.375 (33.388)	Prec@5 68.750 (63.349)
Epoch: [7][850/14090]	Time 0.764 (0.752)	Data 0.001 (0.005)	Loss 2.8231 (2.8177)	Prec@1 31.250 (33.406)	Prec@5 63.281 (63.374)
Epoch: [7][860/14090]	Time 0.770 (0.752)	Data 0.001 (0.005)	Loss 2.8973 (2.8180)	Prec@1 34.375 (33.369)	Prec@5 64.062 (63.384)
Epoch: [7][870/14090]	Time 0.752 (0.752)	Data 0.001 (0.005)	Loss 3.0718 (2.8185)	Prec@1 34.375 (33.348)	Prec@5 59.375 (63.376)
Epoch: [7][880/14090]	Time 0.754 (0.752)	Data 0.001 (0.005)	Loss 3.0019 (2.8193)	Prec@1 28.125 (33.306)	Prec@5 60.156 (63.355)
Epoch: [7][890/14090]	Time 0.757 (0.752)	Data 0.002 (0.005)	Loss 2.7495 (2.8188)	Prec@1 29.688 (33.327)	Prec@5 64.844 (63.363)
Epoch: [7][900/14090]	Time 0.734 (0.752)	Data 0.001 (0.005)	Loss 2.9918 (2.8194)	Prec@1 32.031 (33.325)	Prec@5 56.250 (63.342)
Epoch: [7][910/14090]	Time 0.760 (0.752)	Data 0.001 (0.005)	Loss 2.8539 (2.8210)	Prec@1 29.688 (33.298)	Prec@5 58.594 (63.295)
Epoch: [7][920/14090]	Time 0.727 (0.752)	Data 0.001 (0.005)	Loss 2.5895 (2.8210)	Prec@1 41.406 (33.301)	Prec@5 68.750 (63.291)
Epoch: [7][930/14090]	Time 0.738 (0.752)	Data 0.001 (0.004)	Loss 2.9166 (2.8212)	Prec@1 32.031 (33.303)	Prec@5 60.156 (63.277)
Epoch: [7][940/14090]	Time 0.753 (0.752)	Data 0.001 (0.004)	Loss 2.7460 (2.8208)	Prec@1 33.594 (33.283)	Prec@5 64.062 (63.295)
Epoch: [7][950/14090]	Time 0.733 (0.752)	Data 0.001 (0.004)	Loss 2.6506 (2.8204)	Prec@1 37.500 (33.323)	Prec@5 66.406 (63.307)
Epoch: [7][960/14090]	Time 0.733 (0.752)	Data 0.002 (0.004)	Loss 2.7839 (2.8210)	Prec@1 29.688 (33.299)	Prec@5 62.500 (63.294)
Epoch: [7][970/14090]	Time 0.756 (0.752)	Data 0.001 (0.004)	Loss 2.5516 (2.8203)	Prec@1 42.188 (33.310)	Prec@5 65.625 (63.305)
Epoch: [7][980/14090]	Time 0.743 (0.752)	Data 0.001 (0.004)	Loss 2.6718 (2.8194)	Prec@1 32.812 (33.309)	Prec@5 65.625 (63.334)
Epoch: [7][990/14090]	Time 0.761 (0.752)	Data 0.001 (0.004)	Loss 2.6193 (2.8195)	Prec@1 32.812 (33.293)	Prec@5 67.969 (63.321)
Epoch: [7][1000/14090]	Time 0.747 (0.752)	Data 0.001 (0.004)	Loss 2.8141 (2.8193)	Prec@1 35.156 (33.301)	Prec@5 62.500 (63.319)
Epoch: [7][1010/14090]	Time 0.753 (0.752)	Data 0.001 (0.004)	Loss 2.6885 (2.8190)	Prec@1 34.375 (33.296)	Prec@5 66.406 (63.335)
Epoch: [7][1020/14090]	Time 0.749 (0.752)	Data 0.001 (0.004)	Loss 3.0607 (2.8190)	Prec@1 27.344 (33.295)	Prec@5 56.250 (63.339)
Epoch: [7][1030/14090]	Time 0.773 (0.752)	Data 0.002 (0.004)	Loss 2.8819 (2.8196)	Prec@1 28.125 (33.282)	Prec@5 59.375 (63.333)
Epoch: [7][1040/14090]	Time 0.730 (0.752)	Data 0.001 (0.004)	Loss 2.5990 (2.8207)	Prec@1 34.375 (33.272)	Prec@5 64.844 (63.295)
Epoch: [7][1050/14090]	Time 0.767 (0.752)	Data 0.001 (0.004)	Loss 2.8080 (2.8200)	Prec@1 35.156 (33.288)	Prec@5 66.406 (63.321)
Epoch: [7][1060/14090]	Time 0.760 (0.752)	Data 0.001 (0.004)	Loss 2.9104 (2.8208)	Prec@1 28.906 (33.265)	Prec@5 59.375 (63.306)
Epoch: [7][1070/14090]	Time 0.749 (0.752)	Data 0.001 (0.004)	Loss 2.7634 (2.8203)	Prec@1 30.469 (33.259)	Prec@5 65.625 (63.324)
Epoch: [7][1080/14090]	Time 0.748 (0.751)	Data 0.001 (0.004)	Loss 2.8243 (2.8199)	Prec@1 31.250 (33.266)	Prec@5 65.625 (63.341)
Epoch: [7][1090/14090]	Time 0.755 (0.751)	Data 0.001 (0.004)	Loss 2.5720 (2.8196)	Prec@1 36.719 (33.249)	Prec@5 64.844 (63.338)
Epoch: [7][1100/14090]	Time 0.738 (0.751)	Data 0.002 (0.004)	Loss 2.8814 (2.8201)	Prec@1 32.031 (33.243)	Prec@5 59.375 (63.321)
Epoch: [7][1110/14090]	Time 0.747 (0.751)	Data 0.001 (0.004)	Loss 2.4684 (2.8197)	Prec@1 42.188 (33.255)	Prec@5 68.750 (63.319)
Epoch: [7][1120/14090]	Time 0.755 (0.751)	Data 0.001 (0.004)	Loss 2.7907 (2.8194)	Prec@1 35.156 (33.260)	Prec@5 61.719 (63.300)
Epoch: [7][1130/14090]	Time 0.737 (0.751)	Data 0.002 (0.004)	Loss 2.7345 (2.8192)	Prec@1 35.938 (33.265)	Prec@5 65.625 (63.316)
Epoch: [7][1140/14090]	Time 0.733 (0.751)	Data 0.001 (0.004)	Loss 3.2029 (2.8200)	Prec@1 27.344 (33.262)	Prec@5 55.469 (63.291)
Epoch: [7][1150/14090]	Time 0.769 (0.751)	Data 0.001 (0.004)	Loss 2.8545 (2.8201)	Prec@1 32.031 (33.254)	Prec@5 61.719 (63.296)
Epoch: [7][1160/14090]	Time 0.726 (0.751)	Data 0.001 (0.004)	Loss 2.9190 (2.8196)	Prec@1 30.469 (33.267)	Prec@5 64.062 (63.296)
Epoch: [7][1170/14090]	Time 0.735 (0.751)	Data 0.002 (0.004)	Loss 2.5453 (2.8196)	Prec@1 37.500 (33.273)	Prec@5 71.094 (63.291)
Epoch: [7][1180/14090]	Time 0.728 (0.751)	Data 0.001 (0.004)	Loss 2.5900 (2.8186)	Prec@1 35.156 (33.289)	Prec@5 68.750 (63.321)
Epoch: [7][1190/14090]	Time 0.761 (0.751)	Data 0.001 (0.004)	Loss 2.9954 (2.8186)	Prec@1 31.250 (33.284)	Prec@5 57.031 (63.315)
Epoch: [7][1200/14090]	Time 0.755 (0.751)	Data 0.001 (0.004)	Loss 2.6225 (2.8194)	Prec@1 40.625 (33.278)	Prec@5 64.844 (63.298)
Epoch: [7][1210/14090]	Time 0.758 (0.751)	Data 0.001 (0.004)	Loss 2.8172 (2.8192)	Prec@1 29.688 (33.273)	Prec@5 62.500 (63.298)
Epoch: [7][1220/14090]	Time 0.741 (0.751)	Data 0.001 (0.004)	Loss 2.9036 (2.8193)	Prec@1 29.688 (33.271)	Prec@5 62.500 (63.295)
Epoch: [7][1230/14090]	Time 0.731 (0.751)	Data 0.001 (0.004)	Loss 2.6379 (2.8191)	Prec@1 39.062 (33.285)	Prec@5 67.188 (63.291)
Epoch: [7][1240/14090]	Time 0.739 (0.751)	Data 0.002 (0.004)	Loss 2.7465 (2.8192)	Prec@1 31.250 (33.280)	Prec@5 70.312 (63.295)
Epoch: [7][1250/14090]	Time 0.721 (0.751)	Data 0.001 (0.004)	Loss 3.3199 (2.8195)	Prec@1 21.875 (33.250)	Prec@5 50.000 (63.277)
Epoch: [7][1260/14090]	Time 0.740 (0.751)	Data 0.001 (0.004)	Loss 2.6955 (2.8194)	Prec@1 34.375 (33.249)	Prec@5 61.719 (63.284)
Epoch: [7][1270/14090]	Time 0.738 (0.751)	Data 0.001 (0.004)	Loss 2.7111 (2.8194)	Prec@1 36.719 (33.246)	Prec@5 67.969 (63.290)
Epoch: [7][1280/14090]	Time 0.746 (0.751)	Data 0.001 (0.004)	Loss 2.9780 (2.8195)	Prec@1 28.906 (33.236)	Prec@5 59.375 (63.287)
Epoch: [7][1290/14090]	Time 0.737 (0.751)	Data 0.001 (0.004)	Loss 2.7395 (2.8194)	Prec@1 43.750 (33.236)	Prec@5 67.188 (63.289)
Epoch: [7][1300/14090]	Time 0.756 (0.751)	Data 0.001 (0.003)	Loss 2.7388 (2.8196)	Prec@1 32.812 (33.231)	Prec@5 67.188 (63.293)
Epoch: [7][1310/14090]	Time 0.753 (0.751)	Data 0.002 (0.003)	Loss 3.2188 (2.8196)	Prec@1 24.219 (33.222)	Prec@5 52.344 (63.291)
Epoch: [7][1320/14090]	Time 0.735 (0.751)	Data 0.001 (0.003)	Loss 3.0242 (2.8198)	Prec@1 24.219 (33.205)	Prec@5 57.031 (63.278)
Epoch: [7][1330/14090]	Time 0.749 (0.751)	Data 0.001 (0.003)	Loss 2.8928 (2.8197)	Prec@1 34.375 (33.216)	Prec@5 60.938 (63.281)
Epoch: [7][1340/14090]	Time 0.736 (0.751)	Data 0.001 (0.003)	Loss 2.7416 (2.8196)	Prec@1 35.938 (33.220)	Prec@5 64.844 (63.278)
Epoch: [7][1350/14090]	Time 0.730 (0.751)	Data 0.001 (0.003)	Loss 2.9810 (2.8196)	Prec@1 28.125 (33.225)	Prec@5 61.719 (63.287)
Epoch: [7][1360/14090]	Time 0.735 (0.751)	Data 0.001 (0.003)	Loss 2.8716 (2.8194)	Prec@1 32.031 (33.218)	Prec@5 63.281 (63.298)
Epoch: [7][1370/14090]	Time 0.756 (0.751)	Data 0.001 (0.003)	Loss 2.5495 (2.8190)	Prec@1 38.281 (33.230)	Prec@5 69.531 (63.305)
Epoch: [7][1380/14090]	Time 0.729 (0.751)	Data 0.002 (0.003)	Loss 2.9731 (2.8190)	Prec@1 31.250 (33.231)	Prec@5 63.281 (63.311)
Epoch: [7][1390/14090]	Time 0.756 (0.751)	Data 0.001 (0.003)	Loss 2.7539 (2.8188)	Prec@1 28.906 (33.228)	Prec@5 68.750 (63.321)
Epoch: [7][1400/14090]	Time 0.763 (0.751)	Data 0.001 (0.003)	Loss 2.8585 (2.8192)	Prec@1 30.469 (33.217)	Prec@5 63.281 (63.310)
Epoch: [7][1410/14090]	Time 0.773 (0.751)	Data 0.001 (0.003)	Loss 3.2002 (2.8200)	Prec@1 32.812 (33.212)	Prec@5 55.469 (63.297)
Epoch: [7][1420/14090]	Time 0.763 (0.751)	Data 0.001 (0.003)	Loss 2.7773 (2.8194)	Prec@1 36.719 (33.229)	Prec@5 65.625 (63.304)
Epoch: [7][1430/14090]	Time 0.747 (0.751)	Data 0.001 (0.003)	Loss 2.7779 (2.8193)	Prec@1 30.469 (33.236)	Prec@5 64.062 (63.317)
Epoch: [7][1440/14090]	Time 0.752 (0.751)	Data 0.001 (0.003)	Loss 2.6319 (2.8191)	Prec@1 35.156 (33.232)	Prec@5 63.281 (63.307)
Epoch: [7][1450/14090]	Time 0.743 (0.751)	Data 0.002 (0.003)	Loss 2.7013 (2.8188)	Prec@1 36.719 (33.237)	Prec@5 65.625 (63.309)
Epoch: [7][1460/14090]	Time 0.744 (0.751)	Data 0.001 (0.003)	Loss 2.8195 (2.8192)	Prec@1 31.250 (33.242)	Prec@5 64.844 (63.305)
Epoch: [7][1470/14090]	Time 0.789 (0.751)	Data 0.001 (0.003)	Loss 2.6662 (2.8196)	Prec@1 38.281 (33.244)	Prec@5 68.750 (63.304)
Epoch: [7][1480/14090]	Time 0.748 (0.751)	Data 0.001 (0.003)	Loss 2.8138 (2.8194)	Prec@1 34.375 (33.250)	Prec@5 62.500 (63.304)
Epoch: [7][1490/14090]	Time 0.738 (0.751)	Data 0.001 (0.003)	Loss 2.8371 (2.8194)	Prec@1 35.156 (33.251)	Prec@5 62.500 (63.301)
Epoch: [7][1500/14090]	Time 0.740 (0.750)	Data 0.001 (0.003)	Loss 2.8550 (2.8195)	Prec@1 35.938 (33.251)	Prec@5 65.625 (63.305)
Epoch: [7][1510/14090]	Time 0.736 (0.750)	Data 0.001 (0.003)	Loss 2.8010 (2.8203)	Prec@1 35.938 (33.243)	Prec@5 66.406 (63.294)
Epoch: [7][1520/14090]	Time 0.783 (0.751)	Data 0.002 (0.003)	Loss 2.7510 (2.8202)	Prec@1 31.250 (33.234)	Prec@5 67.969 (63.292)
Epoch: [7][1530/14090]	Time 0.746 (0.751)	Data 0.001 (0.003)	Loss 2.6062 (2.8202)	Prec@1 35.938 (33.236)	Prec@5 71.094 (63.297)
Epoch: [7][1540/14090]	Time 0.749 (0.751)	Data 0.001 (0.003)	Loss 3.1844 (2.8200)	Prec@1 26.562 (33.238)	Prec@5 55.469 (63.291)
Epoch: [7][1550/14090]	Time 0.740 (0.751)	Data 0.001 (0.003)	Loss 2.9501 (2.8201)	Prec@1 35.938 (33.237)	Prec@5 61.719 (63.291)
Epoch: [7][1560/14090]	Time 0.738 (0.751)	Data 0.001 (0.003)	Loss 2.9665 (2.8204)	Prec@1 29.688 (33.228)	Prec@5 59.375 (63.284)
Epoch: [7][1570/14090]	Time 0.741 (0.751)	Data 0.001 (0.003)	Loss 2.6911 (2.8203)	Prec@1 38.281 (33.232)	Prec@5 67.188 (63.293)
Epoch: [7][1580/14090]	Time 0.768 (0.751)	Data 0.001 (0.003)	Loss 2.3788 (2.8199)	Prec@1 44.531 (33.241)	Prec@5 70.312 (63.299)
Epoch: [7][1590/14090]	Time 0.753 (0.751)	Data 0.002 (0.003)	Loss 2.9295 (2.8202)	Prec@1 33.594 (33.241)	Prec@5 62.500 (63.292)
Epoch: [7][1600/14090]	Time 0.746 (0.750)	Data 0.001 (0.003)	Loss 2.6279 (2.8207)	Prec@1 38.281 (33.223)	Prec@5 71.094 (63.268)
Epoch: [7][1610/14090]	Time 0.739 (0.750)	Data 0.001 (0.003)	Loss 2.7647 (2.8205)	Prec@1 34.375 (33.231)	Prec@5 64.844 (63.266)
Epoch: [7][1620/14090]	Time 0.769 (0.750)	Data 0.001 (0.003)	Loss 2.9256 (2.8208)	Prec@1 35.156 (33.229)	Prec@5 62.500 (63.264)
Epoch: [7][1630/14090]	Time 0.745 (0.750)	Data 0.001 (0.003)	Loss 3.0004 (2.8211)	Prec@1 33.594 (33.229)	Prec@5 62.500 (63.259)
Epoch: [7][1640/14090]	Time 0.758 (0.750)	Data 0.001 (0.003)	Loss 3.0688 (2.8211)	Prec@1 25.000 (33.230)	Prec@5 59.375 (63.259)
Epoch: [7][1650/14090]	Time 0.746 (0.750)	Data 0.001 (0.003)	Loss 2.7249 (2.8207)	Prec@1 34.375 (33.236)	Prec@5 64.062 (63.265)
Epoch: [7][1660/14090]	Time 0.780 (0.750)	Data 0.002 (0.003)	Loss 2.7809 (2.8202)	Prec@1 33.594 (33.247)	Prec@5 63.281 (63.272)
Epoch: [7][1670/14090]	Time 0.730 (0.750)	Data 0.001 (0.003)	Loss 2.8554 (2.8204)	Prec@1 32.031 (33.243)	Prec@5 61.719 (63.259)
Epoch: [7][1680/14090]	Time 0.744 (0.750)	Data 0.001 (0.003)	Loss 2.5595 (2.8199)	Prec@1 39.844 (33.250)	Prec@5 66.406 (63.264)
Epoch: [7][1690/14090]	Time 0.731 (0.750)	Data 0.001 (0.003)	Loss 2.8117 (2.8202)	Prec@1 37.500 (33.253)	Prec@5 64.844 (63.260)
Epoch: [7][1700/14090]	Time 0.743 (0.750)	Data 0.001 (0.003)	Loss 2.6959 (2.8203)	Prec@1 38.281 (33.257)	Prec@5 62.500 (63.258)
Epoch: [7][1710/14090]	Time 0.743 (0.750)	Data 0.001 (0.003)	Loss 3.1092 (2.8201)	Prec@1 26.562 (33.264)	Prec@5 60.156 (63.258)
Epoch: [7][1720/14090]	Time 0.755 (0.750)	Data 0.001 (0.003)	Loss 3.1100 (2.8200)	Prec@1 29.688 (33.260)	Prec@5 57.031 (63.264)
Epoch: [7][1730/14090]	Time 0.743 (0.750)	Data 0.001 (0.003)	Loss 2.4892 (2.8196)	Prec@1 36.719 (33.274)	Prec@5 71.094 (63.274)
Epoch: [7][1740/14090]	Time 0.754 (0.750)	Data 0.001 (0.003)	Loss 3.0835 (2.8197)	Prec@1 22.656 (33.271)	Prec@5 57.031 (63.268)
Epoch: [7][1750/14090]	Time 0.750 (0.750)	Data 0.001 (0.003)	Loss 2.7798 (2.8198)	Prec@1 35.938 (33.258)	Prec@5 67.969 (63.274)
Epoch: [7][1760/14090]	Time 0.755 (0.750)	Data 0.001 (0.003)	Loss 2.7846 (2.8201)	Prec@1 31.250 (33.250)	Prec@5 63.281 (63.272)
Epoch: [7][1770/14090]	Time 0.763 (0.750)	Data 0.001 (0.003)	Loss 2.9098 (2.8199)	Prec@1 32.031 (33.251)	Prec@5 65.625 (63.280)
Epoch: [7][1780/14090]	Time 0.732 (0.750)	Data 0.001 (0.003)	Loss 2.9395 (2.8196)	Prec@1 32.812 (33.255)	Prec@5 61.719 (63.286)
Epoch: [7][1790/14090]	Time 0.754 (0.750)	Data 0.001 (0.003)	Loss 2.7596 (2.8193)	Prec@1 33.594 (33.262)	Prec@5 69.531 (63.295)
Epoch: [7][1800/14090]	Time 0.753 (0.750)	Data 0.002 (0.003)	Loss 2.9545 (2.8192)	Prec@1 25.000 (33.263)	Prec@5 65.625 (63.304)
Epoch: [7][1810/14090]	Time 0.771 (0.750)	Data 0.001 (0.003)	Loss 2.9305 (2.8194)	Prec@1 27.344 (33.263)	Prec@5 60.156 (63.295)
Epoch: [7][1820/14090]	Time 0.756 (0.750)	Data 0.001 (0.003)	Loss 3.2135 (2.8196)	Prec@1 26.562 (33.252)	Prec@5 53.125 (63.291)
Epoch: [7][1830/14090]	Time 0.779 (0.750)	Data 0.001 (0.003)	Loss 2.6404 (2.8195)	Prec@1 30.469 (33.252)	Prec@5 69.531 (63.297)
Epoch: [7][1840/14090]	Time 0.766 (0.750)	Data 0.001 (0.003)	Loss 2.9716 (2.8193)	Prec@1 27.344 (33.255)	Prec@5 61.719 (63.296)
Epoch: [7][1850/14090]	Time 0.729 (0.750)	Data 0.001 (0.003)	Loss 2.6924 (2.8189)	Prec@1 33.594 (33.267)	Prec@5 66.406 (63.302)
Epoch: [7][1860/14090]	Time 0.754 (0.750)	Data 0.001 (0.003)	Loss 2.5955 (2.8182)	Prec@1 33.594 (33.280)	Prec@5 70.312 (63.316)
Epoch: [7][1870/14090]	Time 0.745 (0.750)	Data 0.002 (0.003)	Loss 2.7310 (2.8184)	Prec@1 35.156 (33.284)	Prec@5 64.062 (63.314)
Epoch: [7][1880/14090]	Time 0.756 (0.750)	Data 0.001 (0.003)	Loss 2.7207 (2.8183)	Prec@1 38.281 (33.282)	Prec@5 64.062 (63.307)
Epoch: [7][1890/14090]	Time 0.753 (0.750)	Data 0.001 (0.003)	Loss 2.7728 (2.8184)	Prec@1 35.938 (33.275)	Prec@5 64.062 (63.304)
Epoch: [7][1900/14090]	Time 0.764 (0.750)	Data 0.001 (0.003)	Loss 2.8579 (2.8185)	Prec@1 39.062 (33.277)	Prec@5 64.062 (63.305)
Epoch: [7][1910/14090]	Time 0.749 (0.750)	Data 0.001 (0.003)	Loss 2.6368 (2.8183)	Prec@1 32.031 (33.287)	Prec@5 61.719 (63.305)
Epoch: [7][1920/14090]	Time 0.771 (0.750)	Data 0.001 (0.003)	Loss 2.7248 (2.8184)	Prec@1 30.469 (33.286)	Prec@5 64.062 (63.305)
Epoch: [7][1930/14090]	Time 0.739 (0.750)	Data 0.001 (0.003)	Loss 2.9474 (2.8186)	Prec@1 31.250 (33.284)	Prec@5 61.719 (63.302)
Epoch: [7][1940/14090]	Time 0.726 (0.750)	Data 0.002 (0.003)	Loss 2.6754 (2.8183)	Prec@1 32.031 (33.292)	Prec@5 67.188 (63.311)
Epoch: [7][1950/14090]	Time 0.732 (0.750)	Data 0.001 (0.003)	Loss 2.9990 (2.8186)	Prec@1 30.469 (33.291)	Prec@5 57.812 (63.307)
Epoch: [7][1960/14090]	Time 0.761 (0.750)	Data 0.001 (0.003)	Loss 3.1332 (2.8186)	Prec@1 28.906 (33.287)	Prec@5 59.375 (63.309)
Epoch: [7][1970/14090]	Time 0.735 (0.750)	Data 0.001 (0.003)	Loss 2.6484 (2.8186)	Prec@1 39.062 (33.286)	Prec@5 69.531 (63.315)
Epoch: [7][1980/14090]	Time 0.760 (0.750)	Data 0.001 (0.003)	Loss 2.7174 (2.8184)	Prec@1 32.031 (33.284)	Prec@5 64.844 (63.315)
Epoch: [7][1990/14090]	Time 0.734 (0.750)	Data 0.001 (0.003)	Loss 2.8087 (2.8183)	Prec@1 35.156 (33.278)	Prec@5 68.750 (63.317)
Epoch: [7][2000/14090]	Time 0.788 (0.750)	Data 0.001 (0.003)	Loss 3.0585 (2.8185)	Prec@1 34.375 (33.272)	Prec@5 62.500 (63.318)
Epoch: [7][2010/14090]	Time 0.729 (0.750)	Data 0.002 (0.003)	Loss 2.5685 (2.8180)	Prec@1 32.031 (33.276)	Prec@5 69.531 (63.327)
Epoch: [7][2020/14090]	Time 0.757 (0.750)	Data 0.001 (0.003)	Loss 2.7632 (2.8178)	Prec@1 38.281 (33.275)	Prec@5 65.625 (63.332)
Epoch: [7][2030/14090]	Time 0.743 (0.750)	Data 0.001 (0.003)	Loss 2.8052 (2.8179)	Prec@1 34.375 (33.275)	Prec@5 64.062 (63.331)
Epoch: [7][2040/14090]	Time 0.735 (0.750)	Data 0.001 (0.003)	Loss 2.9944 (2.8179)	Prec@1 33.594 (33.277)	Prec@5 58.594 (63.323)
Epoch: [7][2050/14090]	Time 0.751 (0.750)	Data 0.001 (0.003)	Loss 2.8332 (2.8178)	Prec@1 32.812 (33.284)	Prec@5 69.531 (63.325)
Epoch: [7][2060/14090]	Time 0.751 (0.750)	Data 0.001 (0.003)	Loss 2.5535 (2.8176)	Prec@1 39.062 (33.289)	Prec@5 64.844 (63.335)
Epoch: [7][2070/14090]	Time 0.734 (0.750)	Data 0.001 (0.003)	Loss 2.8552 (2.8180)	Prec@1 32.812 (33.284)	Prec@5 61.719 (63.328)
Epoch: [7][2080/14090]	Time 0.758 (0.750)	Data 0.002 (0.003)	Loss 2.7999 (2.8178)	Prec@1 34.375 (33.286)	Prec@5 64.844 (63.324)
Epoch: [7][2090/14090]	Time 0.727 (0.750)	Data 0.001 (0.003)	Loss 2.6003 (2.8180)	Prec@1 42.188 (33.281)	Prec@5 68.750 (63.329)
Epoch: [7][2100/14090]	Time 0.750 (0.750)	Data 0.001 (0.003)	Loss 3.0541 (2.8183)	Prec@1 22.656 (33.272)	Prec@5 58.594 (63.324)
Epoch: [7][2110/14090]	Time 0.729 (0.750)	Data 0.001 (0.003)	Loss 2.7856 (2.8183)	Prec@1 35.156 (33.276)	Prec@5 67.188 (63.321)
Epoch: [7][2120/14090]	Time 0.736 (0.750)	Data 0.001 (0.003)	Loss 2.9437 (2.8184)	Prec@1 27.344 (33.276)	Prec@5 59.375 (63.318)
Epoch: [7][2130/14090]	Time 0.749 (0.750)	Data 0.001 (0.003)	Loss 2.9095 (2.8188)	Prec@1 31.250 (33.271)	Prec@5 60.156 (63.309)
Epoch: [7][2140/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 2.7840 (2.8186)	Prec@1 32.031 (33.271)	Prec@5 64.062 (63.312)
Epoch: [7][2150/14090]	Time 0.725 (0.750)	Data 0.002 (0.002)	Loss 2.7468 (2.8187)	Prec@1 35.938 (33.271)	Prec@5 65.625 (63.313)
Epoch: [7][2160/14090]	Time 0.723 (0.750)	Data 0.001 (0.002)	Loss 2.6259 (2.8183)	Prec@1 34.375 (33.278)	Prec@5 64.062 (63.321)
Epoch: [7][2170/14090]	Time 0.737 (0.750)	Data 0.001 (0.002)	Loss 2.5581 (2.8182)	Prec@1 38.281 (33.281)	Prec@5 66.406 (63.322)
Epoch: [7][2180/14090]	Time 0.746 (0.750)	Data 0.001 (0.002)	Loss 2.5464 (2.8180)	Prec@1 35.156 (33.276)	Prec@5 72.656 (63.325)
Epoch: [7][2190/14090]	Time 0.763 (0.750)	Data 0.001 (0.002)	Loss 3.0560 (2.8181)	Prec@1 32.031 (33.273)	Prec@5 63.281 (63.327)
Epoch: [7][2200/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 3.4520 (2.8181)	Prec@1 18.750 (33.275)	Prec@5 50.000 (63.321)
Epoch: [7][2210/14090]	Time 0.742 (0.750)	Data 0.001 (0.002)	Loss 2.6490 (2.8182)	Prec@1 34.375 (33.278)	Prec@5 67.188 (63.318)
Epoch: [7][2220/14090]	Time 0.753 (0.750)	Data 0.002 (0.002)	Loss 2.9857 (2.8182)	Prec@1 27.344 (33.276)	Prec@5 64.062 (63.315)
Epoch: [7][2230/14090]	Time 0.741 (0.750)	Data 0.001 (0.002)	Loss 2.8982 (2.8180)	Prec@1 34.375 (33.287)	Prec@5 65.625 (63.323)
Epoch: [7][2240/14090]	Time 0.756 (0.750)	Data 0.001 (0.002)	Loss 2.4715 (2.8178)	Prec@1 42.188 (33.290)	Prec@5 72.656 (63.332)
Epoch: [7][2250/14090]	Time 0.746 (0.750)	Data 0.001 (0.002)	Loss 2.6965 (2.8179)	Prec@1 38.281 (33.298)	Prec@5 62.500 (63.330)
Epoch: [7][2260/14090]	Time 0.742 (0.750)	Data 0.001 (0.002)	Loss 2.8616 (2.8180)	Prec@1 28.125 (33.295)	Prec@5 64.062 (63.331)
Epoch: [7][2270/14090]	Time 0.734 (0.750)	Data 0.001 (0.002)	Loss 2.7447 (2.8180)	Prec@1 33.594 (33.292)	Prec@5 62.500 (63.329)
Epoch: [7][2280/14090]	Time 0.773 (0.750)	Data 0.001 (0.002)	Loss 2.8044 (2.8180)	Prec@1 27.344 (33.288)	Prec@5 60.156 (63.327)
Epoch: [7][2290/14090]	Time 0.756 (0.750)	Data 0.002 (0.002)	Loss 2.8775 (2.8182)	Prec@1 30.469 (33.280)	Prec@5 61.719 (63.330)
Epoch: [7][2300/14090]	Time 0.735 (0.750)	Data 0.001 (0.002)	Loss 2.9360 (2.8181)	Prec@1 32.031 (33.286)	Prec@5 60.156 (63.335)
Epoch: [7][2310/14090]	Time 0.731 (0.750)	Data 0.001 (0.002)	Loss 2.8626 (2.8175)	Prec@1 27.344 (33.294)	Prec@5 60.938 (63.346)
Epoch: [7][2320/14090]	Time 0.727 (0.750)	Data 0.001 (0.002)	Loss 2.5555 (2.8179)	Prec@1 41.406 (33.288)	Prec@5 68.750 (63.334)
Epoch: [7][2330/14090]	Time 0.775 (0.750)	Data 0.001 (0.002)	Loss 2.6937 (2.8179)	Prec@1 34.375 (33.288)	Prec@5 62.500 (63.334)
Epoch: [7][2340/14090]	Time 0.725 (0.750)	Data 0.001 (0.002)	Loss 2.6334 (2.8178)	Prec@1 38.281 (33.289)	Prec@5 73.438 (63.341)
Epoch: [7][2350/14090]	Time 0.763 (0.750)	Data 0.001 (0.002)	Loss 2.7907 (2.8176)	Prec@1 32.812 (33.287)	Prec@5 64.844 (63.343)
Epoch: [7][2360/14090]	Time 0.740 (0.750)	Data 0.002 (0.002)	Loss 2.8728 (2.8179)	Prec@1 29.688 (33.285)	Prec@5 67.969 (63.340)
Epoch: [7][2370/14090]	Time 0.751 (0.750)	Data 0.001 (0.002)	Loss 3.1203 (2.8180)	Prec@1 28.906 (33.282)	Prec@5 57.812 (63.342)
Epoch: [7][2380/14090]	Time 0.734 (0.750)	Data 0.001 (0.002)	Loss 2.4469 (2.8178)	Prec@1 41.406 (33.292)	Prec@5 71.094 (63.346)
Epoch: [7][2390/14090]	Time 0.741 (0.750)	Data 0.001 (0.002)	Loss 3.0329 (2.8181)	Prec@1 28.125 (33.288)	Prec@5 56.250 (63.337)
Epoch: [7][2400/14090]	Time 0.738 (0.750)	Data 0.001 (0.002)	Loss 2.7391 (2.8179)	Prec@1 35.938 (33.293)	Prec@5 64.062 (63.342)
Epoch: [7][2410/14090]	Time 0.735 (0.750)	Data 0.001 (0.002)	Loss 2.5413 (2.8176)	Prec@1 38.281 (33.300)	Prec@5 68.750 (63.345)
Epoch: [7][2420/14090]	Time 0.754 (0.750)	Data 0.001 (0.002)	Loss 3.1368 (2.8175)	Prec@1 27.344 (33.302)	Prec@5 52.344 (63.340)
Epoch: [7][2430/14090]	Time 0.742 (0.750)	Data 0.002 (0.002)	Loss 2.9921 (2.8176)	Prec@1 35.156 (33.302)	Prec@5 59.375 (63.340)
Epoch: [7][2440/14090]	Time 0.768 (0.750)	Data 0.001 (0.002)	Loss 2.7083 (2.8172)	Prec@1 29.688 (33.306)	Prec@5 66.406 (63.342)
Epoch: [7][2450/14090]	Time 0.735 (0.750)	Data 0.001 (0.002)	Loss 3.0314 (2.8169)	Prec@1 30.469 (33.308)	Prec@5 60.156 (63.350)
Epoch: [7][2460/14090]	Time 0.758 (0.750)	Data 0.001 (0.002)	Loss 2.7888 (2.8166)	Prec@1 37.500 (33.317)	Prec@5 67.969 (63.358)
Epoch: [7][2470/14090]	Time 0.757 (0.750)	Data 0.001 (0.002)	Loss 2.6414 (2.8165)	Prec@1 33.594 (33.312)	Prec@5 67.969 (63.361)
Epoch: [7][2480/14090]	Time 0.760 (0.750)	Data 0.001 (0.002)	Loss 3.1053 (2.8167)	Prec@1 27.344 (33.308)	Prec@5 54.688 (63.352)
Epoch: [7][2490/14090]	Time 0.758 (0.750)	Data 0.001 (0.002)	Loss 2.4843 (2.8169)	Prec@1 35.938 (33.305)	Prec@5 67.188 (63.349)
Epoch: [7][2500/14090]	Time 0.733 (0.750)	Data 0.002 (0.002)	Loss 2.6819 (2.8165)	Prec@1 36.719 (33.317)	Prec@5 69.531 (63.359)
Epoch: [7][2510/14090]	Time 0.780 (0.750)	Data 0.001 (0.002)	Loss 2.6982 (2.8163)	Prec@1 35.938 (33.315)	Prec@5 66.406 (63.363)
Epoch: [7][2520/14090]	Time 0.747 (0.750)	Data 0.001 (0.002)	Loss 2.8082 (2.8163)	Prec@1 29.688 (33.311)	Prec@5 64.062 (63.364)
Epoch: [7][2530/14090]	Time 0.729 (0.750)	Data 0.001 (0.002)	Loss 2.5150 (2.8162)	Prec@1 40.625 (33.318)	Prec@5 70.312 (63.361)
Epoch: [7][2540/14090]	Time 0.742 (0.750)	Data 0.001 (0.002)	Loss 2.5429 (2.8161)	Prec@1 35.938 (33.314)	Prec@5 68.750 (63.361)
Epoch: [7][2550/14090]	Time 0.772 (0.750)	Data 0.001 (0.002)	Loss 2.9319 (2.8161)	Prec@1 32.812 (33.307)	Prec@5 61.719 (63.361)
Epoch: [7][2560/14090]	Time 0.754 (0.750)	Data 0.001 (0.002)	Loss 2.8798 (2.8164)	Prec@1 34.375 (33.301)	Prec@5 60.156 (63.353)
Epoch: [7][2570/14090]	Time 0.745 (0.750)	Data 0.002 (0.002)	Loss 2.8787 (2.8168)	Prec@1 33.594 (33.296)	Prec@5 59.375 (63.347)
Epoch: [7][2580/14090]	Time 0.753 (0.750)	Data 0.001 (0.002)	Loss 2.7288 (2.8166)	Prec@1 32.812 (33.298)	Prec@5 64.844 (63.347)
Epoch: [7][2590/14090]	Time 0.796 (0.750)	Data 0.001 (0.002)	Loss 2.8486 (2.8167)	Prec@1 32.031 (33.289)	Prec@5 60.938 (63.345)
Epoch: [7][2600/14090]	Time 0.781 (0.750)	Data 0.001 (0.002)	Loss 2.7458 (2.8168)	Prec@1 36.719 (33.285)	Prec@5 63.281 (63.342)
Epoch: [7][2610/14090]	Time 0.754 (0.750)	Data 0.001 (0.002)	Loss 2.9852 (2.8169)	Prec@1 27.344 (33.289)	Prec@5 57.812 (63.338)
Epoch: [7][2620/14090]	Time 0.747 (0.750)	Data 0.001 (0.002)	Loss 2.8720 (2.8171)	Prec@1 35.156 (33.290)	Prec@5 64.062 (63.330)
Epoch: [7][2630/14090]	Time 0.740 (0.750)	Data 0.001 (0.002)	Loss 2.7610 (2.8168)	Prec@1 42.969 (33.299)	Prec@5 61.719 (63.339)
Epoch: [7][2640/14090]	Time 0.777 (0.750)	Data 0.002 (0.002)	Loss 3.0504 (2.8165)	Prec@1 26.562 (33.300)	Prec@5 57.812 (63.350)
Epoch: [7][2650/14090]	Time 0.774 (0.750)	Data 0.001 (0.002)	Loss 2.8388 (2.8165)	Prec@1 30.469 (33.301)	Prec@5 62.500 (63.348)
Epoch: [7][2660/14090]	Time 0.721 (0.750)	Data 0.001 (0.002)	Loss 2.3953 (2.8167)	Prec@1 40.625 (33.299)	Prec@5 69.531 (63.345)
Epoch: [7][2670/14090]	Time 0.753 (0.750)	Data 0.001 (0.002)	Loss 2.9150 (2.8168)	Prec@1 32.812 (33.296)	Prec@5 61.719 (63.346)
Epoch: [7][2680/14090]	Time 0.738 (0.750)	Data 0.001 (0.002)	Loss 2.9189 (2.8168)	Prec@1 32.812 (33.298)	Prec@5 61.719 (63.349)
Epoch: [7][2690/14090]	Time 0.737 (0.750)	Data 0.001 (0.002)	Loss 2.6747 (2.8169)	Prec@1 42.969 (33.292)	Prec@5 62.500 (63.340)
Epoch: [7][2700/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 2.7343 (2.8169)	Prec@1 32.031 (33.295)	Prec@5 66.406 (63.339)
Epoch: [7][2710/14090]	Time 0.726 (0.750)	Data 0.002 (0.002)	Loss 2.7999 (2.8169)	Prec@1 30.469 (33.291)	Prec@5 64.844 (63.337)
Epoch: [7][2720/14090]	Time 0.733 (0.750)	Data 0.001 (0.002)	Loss 2.6785 (2.8168)	Prec@1 34.375 (33.295)	Prec@5 71.094 (63.337)
Epoch: [7][2730/14090]	Time 0.724 (0.750)	Data 0.001 (0.002)	Loss 2.8792 (2.8165)	Prec@1 32.031 (33.301)	Prec@5 58.594 (63.338)
Epoch: [7][2740/14090]	Time 0.744 (0.750)	Data 0.001 (0.002)	Loss 2.8675 (2.8164)	Prec@1 34.375 (33.300)	Prec@5 61.719 (63.343)
Epoch: [7][2750/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 3.1077 (2.8166)	Prec@1 27.344 (33.299)	Prec@5 55.469 (63.334)
Epoch: [7][2760/14090]	Time 0.730 (0.750)	Data 0.001 (0.002)	Loss 2.8186 (2.8164)	Prec@1 35.938 (33.304)	Prec@5 63.281 (63.340)
Epoch: [7][2770/14090]	Time 0.760 (0.750)	Data 0.001 (0.002)	Loss 2.5097 (2.8161)	Prec@1 33.594 (33.308)	Prec@5 70.312 (63.349)
Epoch: [7][2780/14090]	Time 0.758 (0.750)	Data 0.002 (0.002)	Loss 2.6409 (2.8162)	Prec@1 35.938 (33.306)	Prec@5 67.188 (63.346)
Epoch: [7][2790/14090]	Time 0.759 (0.750)	Data 0.001 (0.002)	Loss 3.1792 (2.8165)	Prec@1 27.344 (33.299)	Prec@5 52.344 (63.343)
Epoch: [7][2800/14090]	Time 0.739 (0.750)	Data 0.001 (0.002)	Loss 3.0205 (2.8166)	Prec@1 25.781 (33.297)	Prec@5 59.375 (63.341)
Epoch: [7][2810/14090]	Time 0.737 (0.749)	Data 0.001 (0.002)	Loss 2.9963 (2.8168)	Prec@1 30.469 (33.296)	Prec@5 56.250 (63.334)
Epoch: [7][2820/14090]	Time 0.728 (0.749)	Data 0.001 (0.002)	Loss 2.7717 (2.8168)	Prec@1 31.250 (33.296)	Prec@5 58.594 (63.334)
Epoch: [7][2830/14090]	Time 0.734 (0.749)	Data 0.001 (0.002)	Loss 2.7392 (2.8168)	Prec@1 32.031 (33.298)	Prec@5 66.406 (63.334)
Epoch: [7][2840/14090]	Time 0.725 (0.749)	Data 0.001 (0.002)	Loss 2.8983 (2.8167)	Prec@1 32.031 (33.299)	Prec@5 64.062 (63.340)
Epoch: [7][2850/14090]	Time 0.744 (0.749)	Data 0.002 (0.002)	Loss 2.6791 (2.8167)	Prec@1 37.500 (33.300)	Prec@5 67.969 (63.343)
Epoch: [7][2860/14090]	Time 0.768 (0.749)	Data 0.001 (0.002)	Loss 3.1311 (2.8167)	Prec@1 25.781 (33.296)	Prec@5 54.688 (63.345)
Epoch: [7][2870/14090]	Time 0.761 (0.749)	Data 0.001 (0.002)	Loss 3.0835 (2.8166)	Prec@1 32.031 (33.293)	Prec@5 57.031 (63.350)
Epoch: [7][2880/14090]	Time 0.744 (0.749)	Data 0.001 (0.002)	Loss 2.9844 (2.8168)	Prec@1 29.688 (33.291)	Prec@5 62.500 (63.345)
Epoch: [7][2890/14090]	Time 0.771 (0.749)	Data 0.001 (0.002)	Loss 2.6732 (2.8167)	Prec@1 37.500 (33.295)	Prec@5 64.062 (63.341)
Epoch: [7][2900/14090]	Time 0.744 (0.749)	Data 0.001 (0.002)	Loss 2.6804 (2.8168)	Prec@1 31.250 (33.296)	Prec@5 65.625 (63.336)
Epoch: [7][2910/14090]	Time 0.749 (0.749)	Data 0.001 (0.002)	Loss 2.8584 (2.8170)	Prec@1 32.812 (33.296)	Prec@5 62.500 (63.333)
Epoch: [7][2920/14090]	Time 0.754 (0.749)	Data 0.002 (0.002)	Loss 2.6590 (2.8170)	Prec@1 36.719 (33.294)	Prec@5 62.500 (63.336)
Epoch: [7][2930/14090]	Time 0.761 (0.749)	Data 0.001 (0.002)	Loss 2.6964 (2.8169)	Prec@1 32.812 (33.288)	Prec@5 64.844 (63.330)
Epoch: [7][2940/14090]	Time 0.762 (0.749)	Data 0.001 (0.002)	Loss 2.8579 (2.8171)	Prec@1 31.250 (33.285)	Prec@5 61.719 (63.327)
Epoch: [7][2950/14090]	Time 0.723 (0.749)	Data 0.001 (0.002)	Loss 2.9482 (2.8170)	Prec@1 28.906 (33.283)	Prec@5 61.719 (63.327)
Epoch: [7][2960/14090]	Time 0.736 (0.749)	Data 0.001 (0.002)	Loss 2.8416 (2.8171)	Prec@1 28.906 (33.283)	Prec@5 64.062 (63.328)
Epoch: [7][2970/14090]	Time 0.744 (0.749)	Data 0.001 (0.002)	Loss 2.5707 (2.8167)	Prec@1 38.281 (33.283)	Prec@5 66.406 (63.336)
Epoch: [7][2980/14090]	Time 0.733 (0.749)	Data 0.001 (0.002)	Loss 3.0223 (2.8165)	Prec@1 27.344 (33.283)	Prec@5 60.938 (63.343)
Epoch: [7][2990/14090]	Time 0.744 (0.749)	Data 0.002 (0.002)	Loss 2.7168 (2.8161)	Prec@1 35.156 (33.289)	Prec@5 64.844 (63.349)
Epoch: [7][3000/14090]	Time 0.740 (0.749)	Data 0.001 (0.002)	Loss 2.7473 (2.8160)	Prec@1 36.719 (33.289)	Prec@5 67.188 (63.353)
Epoch: [7][3010/14090]	Time 0.758 (0.749)	Data 0.001 (0.002)	Loss 2.5625 (2.8159)	Prec@1 38.281 (33.293)	Prec@5 64.844 (63.356)
Epoch: [7][3020/14090]	Time 0.749 (0.749)	Data 0.001 (0.002)	Loss 2.8528 (2.8160)	Prec@1 33.594 (33.298)	Prec@5 61.719 (63.354)
Epoch: [7][3030/14090]	Time 0.741 (0.749)	Data 0.001 (0.002)	Loss 2.9262 (2.8159)	Prec@1 30.469 (33.300)	Prec@5 63.281 (63.358)
Epoch: [7][3040/14090]	Time 0.747 (0.749)	Data 0.001 (0.002)	Loss 2.7456 (2.8160)	Prec@1 35.938 (33.297)	Prec@5 62.500 (63.362)
Epoch: [7][3050/14090]	Time 0.746 (0.749)	Data 0.001 (0.002)	Loss 3.0145 (2.8161)	Prec@1 26.562 (33.298)	Prec@5 61.719 (63.360)
Epoch: [7][3060/14090]	Time 0.743 (0.749)	Data 0.002 (0.002)	Loss 2.8108 (2.8160)	Prec@1 35.938 (33.295)	Prec@5 64.844 (63.359)
Epoch: [7][3070/14090]	Time 0.747 (0.749)	Data 0.001 (0.002)	Loss 2.6423 (2.8160)	Prec@1 35.938 (33.294)	Prec@5 65.625 (63.360)
Epoch: [7][3080/14090]	Time 0.747 (0.749)	Data 0.001 (0.002)	Loss 2.6296 (2.8157)	Prec@1 32.031 (33.298)	Prec@5 67.188 (63.364)
Epoch: [7][3090/14090]	Time 0.760 (0.749)	Data 0.001 (0.002)	Loss 2.4843 (2.8156)	Prec@1 42.188 (33.304)	Prec@5 67.188 (63.365)
Epoch: [7][3100/14090]	Time 0.733 (0.749)	Data 0.001 (0.002)	Loss 3.1272 (2.8156)	Prec@1 28.906 (33.301)	Prec@5 58.594 (63.362)
Epoch: [7][3110/14090]	Time 0.724 (0.749)	Data 0.001 (0.002)	Loss 2.8539 (2.8156)	Prec@1 34.375 (33.307)	Prec@5 61.719 (63.364)
Epoch: [7][3120/14090]	Time 0.756 (0.749)	Data 0.001 (0.002)	Loss 2.8896 (2.8156)	Prec@1 29.688 (33.304)	Prec@5 64.062 (63.365)
Epoch: [7][3130/14090]	Time 0.727 (0.749)	Data 0.002 (0.002)	Loss 2.9530 (2.8154)	Prec@1 28.906 (33.304)	Prec@5 60.938 (63.367)
Epoch: [7][3140/14090]	Time 0.749 (0.749)	Data 0.001 (0.002)	Loss 3.0245 (2.8156)	Prec@1 32.812 (33.298)	Prec@5 57.031 (63.366)
Epoch: [7][3150/14090]	Time 0.733 (0.749)	Data 0.001 (0.002)	Loss 2.5978 (2.8157)	Prec@1 38.281 (33.298)	Prec@5 72.656 (63.367)
Epoch: [7][3160/14090]	Time 0.743 (0.749)	Data 0.001 (0.002)	Loss 2.8668 (2.8157)	Prec@1 32.031 (33.298)	Prec@5 60.156 (63.369)
Epoch: [7][3170/14090]	Time 0.743 (0.749)	Data 0.001 (0.002)	Loss 2.6270 (2.8157)	Prec@1 39.844 (33.300)	Prec@5 61.719 (63.369)
Epoch: [7][3180/14090]	Time 0.755 (0.749)	Data 0.001 (0.002)	Loss 2.6199 (2.8157)	Prec@1 40.625 (33.300)	Prec@5 70.312 (63.369)
Epoch: [7][3190/14090]	Time 0.740 (0.749)	Data 0.001 (0.002)	Loss 2.6926 (2.8154)	Prec@1 33.594 (33.308)	Prec@5 67.188 (63.379)
Epoch: [7][3200/14090]	Time 0.748 (0.749)	Data 0.002 (0.002)	Loss 2.6931 (2.8154)	Prec@1 33.594 (33.313)	Prec@5 66.406 (63.379)
Epoch: [7][3210/14090]	Time 0.740 (0.749)	Data 0.001 (0.002)	Loss 2.9308 (2.8153)	Prec@1 31.250 (33.312)	Prec@5 64.844 (63.379)
Epoch: [7][3220/14090]	Time 0.752 (0.749)	Data 0.001 (0.002)	Loss 2.6455 (2.8152)	Prec@1 37.500 (33.313)	Prec@5 67.969 (63.384)
Epoch: [7][3230/14090]	Time 0.742 (0.749)	Data 0.001 (0.002)	Loss 3.0725 (2.8157)	Prec@1 32.812 (33.302)	Prec@5 60.938 (63.376)
Epoch: [7][3240/14090]	Time 0.751 (0.749)	Data 0.001 (0.002)	Loss 3.0756 (2.8156)	Prec@1 32.031 (33.300)	Prec@5 57.812 (63.375)
Epoch: [7][3250/14090]	Time 0.755 (0.749)	Data 0.001 (0.002)	Loss 2.9750 (2.8160)	Prec@1 28.125 (33.294)	Prec@5 58.594 (63.367)
Epoch: [7][3260/14090]	Time 0.743 (0.749)	Data 0.001 (0.002)	Loss 2.6517 (2.8161)	Prec@1 30.469 (33.290)	Prec@5 65.625 (63.366)
Epoch: [7][3270/14090]	Time 0.738 (0.749)	Data 0.002 (0.002)	Loss 2.6831 (2.8162)	Prec@1 32.812 (33.284)	Prec@5 63.281 (63.362)
Epoch: [7][3280/14090]	Time 0.733 (0.749)	Data 0.001 (0.002)	Loss 2.7126 (2.8160)	Prec@1 31.250 (33.282)	Prec@5 62.500 (63.371)
Epoch: [7][3290/14090]	Time 0.732 (0.749)	Data 0.001 (0.002)	Loss 2.8178 (2.8160)	Prec@1 33.594 (33.278)	Prec@5 62.500 (63.370)
Epoch: [7][3300/14090]	Time 0.729 (0.749)	Data 0.001 (0.002)	Loss 2.8046 (2.8158)	Prec@1 35.156 (33.284)	Prec@5 60.156 (63.377)
Epoch: [7][3310/14090]	Time 0.732 (0.749)	Data 0.001 (0.002)	Loss 2.6113 (2.8157)	Prec@1 38.281 (33.290)	Prec@5 69.531 (63.379)
Epoch: [7][3320/14090]	Time 0.750 (0.749)	Data 0.001 (0.002)	Loss 2.9230 (2.8159)	Prec@1 27.344 (33.285)	Prec@5 58.594 (63.377)
Epoch: [7][3330/14090]	Time 0.728 (0.749)	Data 0.001 (0.002)	Loss 2.8134 (2.8160)	Prec@1 35.156 (33.284)	Prec@5 64.062 (63.379)
Epoch: [7][3340/14090]	Time 0.773 (0.749)	Data 0.002 (0.002)	Loss 2.7821 (2.8159)	Prec@1 35.156 (33.287)	Prec@5 60.156 (63.385)
Epoch: [7][3350/14090]	Time 0.762 (0.749)	Data 0.002 (0.002)	Loss 2.6085 (2.8161)	Prec@1 39.062 (33.284)	Prec@5 64.844 (63.379)
Epoch: [7][3360/14090]	Time 0.746 (0.749)	Data 0.001 (0.002)	Loss 3.1166 (2.8162)	Prec@1 28.906 (33.283)	Prec@5 61.719 (63.378)
Epoch: [7][3370/14090]	Time 0.750 (0.749)	Data 0.001 (0.002)	Loss 2.9360 (2.8162)	Prec@1 37.500 (33.281)	Prec@5 65.625 (63.376)
Epoch: [7][3380/14090]	Time 0.775 (0.749)	Data 0.001 (0.002)	Loss 2.8760 (2.8165)	Prec@1 30.469 (33.279)	Prec@5 63.281 (63.370)
Epoch: [7][3390/14090]	Time 0.753 (0.749)	Data 0.001 (0.002)	Loss 2.7319 (2.8166)	Prec@1 29.688 (33.277)	Prec@5 64.844 (63.367)
Epoch: [7][3400/14090]	Time 0.739 (0.749)	Data 0.001 (0.002)	Loss 2.9145 (2.8165)	Prec@1 29.688 (33.273)	Prec@5 58.594 (63.371)
Epoch: [7][3410/14090]	Time 0.721 (0.749)	Data 0.002 (0.002)	Loss 2.7635 (2.8163)	Prec@1 30.469 (33.277)	Prec@5 64.844 (63.377)
Epoch: [7][3420/14090]	Time 0.764 (0.749)	Data 0.001 (0.002)	Loss 2.7353 (2.8165)	Prec@1 37.500 (33.276)	Prec@5 67.188 (63.377)
Epoch: [7][3430/14090]	Time 0.742 (0.749)	Data 0.001 (0.002)	Loss 2.8903 (2.8166)	Prec@1 35.938 (33.272)	Prec@5 64.844 (63.376)
Epoch: [7][3440/14090]	Time 0.749 (0.749)	Data 0.001 (0.002)	Loss 2.9421 (2.8169)	Prec@1 28.125 (33.270)	Prec@5 58.594 (63.372)
Epoch: [7][3450/14090]	Time 0.747 (0.749)	Data 0.001 (0.002)	Loss 2.7155 (2.8167)	Prec@1 30.469 (33.272)	Prec@5 66.406 (63.376)
Epoch: [7][3460/14090]	Time 0.763 (0.749)	Data 0.001 (0.002)	Loss 3.0439 (2.8170)	Prec@1 30.469 (33.267)	Prec@5 58.594 (63.368)
Epoch: [7][3470/14090]	Time 0.741 (0.749)	Data 0.001 (0.002)	Loss 2.7488 (2.8169)	Prec@1 37.500 (33.267)	Prec@5 60.938 (63.368)
Epoch: [7][3480/14090]	Time 0.780 (0.749)	Data 0.002 (0.002)	Loss 2.8216 (2.8170)	Prec@1 34.375 (33.269)	Prec@5 66.406 (63.365)
Epoch: [7][3490/14090]	Time 0.762 (0.749)	Data 0.001 (0.002)	Loss 2.8264 (2.8169)	Prec@1 34.375 (33.271)	Prec@5 63.281 (63.366)
Epoch: [7][3500/14090]	Time 0.738 (0.749)	Data 0.001 (0.002)	Loss 2.9617 (2.8170)	Prec@1 31.250 (33.268)	Prec@5 62.500 (63.366)
Epoch: [7][3510/14090]	Time 0.753 (0.749)	Data 0.002 (0.002)	Loss 2.8359 (2.8171)	Prec@1 38.281 (33.269)	Prec@5 64.062 (63.360)
Epoch: [7][3520/14090]	Time 0.744 (0.749)	Data 0.001 (0.002)	Loss 2.7593 (2.8170)	Prec@1 29.688 (33.272)	Prec@5 62.500 (63.361)
Epoch: [7][3530/14090]	Time 0.746 (0.749)	Data 0.001 (0.002)	Loss 2.5453 (2.8168)	Prec@1 39.062 (33.280)	Prec@5 67.188 (63.368)
Epoch: [7][3540/14090]	Time 0.766 (0.749)	Data 0.001 (0.002)	Loss 2.8155 (2.8168)	Prec@1 39.062 (33.282)	Prec@5 64.844 (63.369)
Epoch: [7][3550/14090]	Time 0.734 (0.749)	Data 0.002 (0.002)	Loss 2.5010 (2.8170)	Prec@1 40.625 (33.279)	Prec@5 71.094 (63.364)
Epoch: [7][3560/14090]	Time 0.751 (0.749)	Data 0.001 (0.002)	Loss 2.7510 (2.8171)	Prec@1 32.031 (33.275)	Prec@5 65.625 (63.360)
Epoch: [7][3570/14090]	Time 0.739 (0.749)	Data 0.001 (0.002)	Loss 2.9158 (2.8174)	Prec@1 25.000 (33.267)	Prec@5 62.500 (63.358)
Epoch: [7][3580/14090]	Time 0.743 (0.749)	Data 0.001 (0.002)	Loss 3.0125 (2.8174)	Prec@1 28.125 (33.268)	Prec@5 57.031 (63.356)
Epoch: [7][3590/14090]	Time 0.764 (0.749)	Data 0.001 (0.002)	Loss 2.8281 (2.8174)	Prec@1 38.281 (33.266)	Prec@5 62.500 (63.355)
Epoch: [7][3600/14090]	Time 0.762 (0.749)	Data 0.001 (0.002)	Loss 3.1889 (2.8178)	Prec@1 30.469 (33.252)	Prec@5 61.719 (63.346)
Epoch: [7][3610/14090]	Time 0.753 (0.749)	Data 0.001 (0.002)	Loss 2.8712 (2.8180)	Prec@1 28.906 (33.251)	Prec@5 67.969 (63.344)
Epoch: [7][3620/14090]	Time 0.754 (0.749)	Data 0.002 (0.002)	Loss 2.8163 (2.8181)	Prec@1 32.812 (33.253)	Prec@5 58.594 (63.336)
Epoch: [7][3630/14090]	Time 0.759 (0.749)	Data 0.001 (0.002)	Loss 2.8031 (2.8181)	Prec@1 26.562 (33.251)	Prec@5 63.281 (63.338)
Epoch: [7][3640/14090]	Time 0.737 (0.749)	Data 0.001 (0.002)	Loss 2.6174 (2.8181)	Prec@1 35.938 (33.253)	Prec@5 64.844 (63.337)
Epoch: [7][3650/14090]	Time 0.759 (0.749)	Data 0.001 (0.002)	Loss 2.9946 (2.8178)	Prec@1 31.250 (33.261)	Prec@5 60.156 (63.345)
Epoch: [7][3660/14090]	Time 0.761 (0.749)	Data 0.001 (0.002)	Loss 2.8916 (2.8180)	Prec@1 32.031 (33.260)	Prec@5 60.156 (63.344)
Epoch: [7][3670/14090]	Time 0.751 (0.749)	Data 0.001 (0.002)	Loss 2.8476 (2.8181)	Prec@1 32.031 (33.260)	Prec@5 65.625 (63.343)
Epoch: [7][3680/14090]	Time 0.762 (0.749)	Data 0.001 (0.002)	Loss 2.9642 (2.8181)	Prec@1 31.250 (33.259)	Prec@5 61.719 (63.339)
Epoch: [7][3690/14090]	Time 0.727 (0.749)	Data 0.002 (0.002)	Loss 2.4778 (2.8177)	Prec@1 36.719 (33.265)	Prec@5 71.875 (63.346)
Epoch: [7][3700/14090]	Time 0.747 (0.749)	Data 0.001 (0.002)	Loss 3.0822 (2.8179)	Prec@1 26.562 (33.264)	Prec@5 52.344 (63.340)
Epoch: [7][3710/14090]	Time 0.778 (0.749)	Data 0.001 (0.002)	Loss 2.9135 (2.8177)	Prec@1 38.281 (33.265)	Prec@5 62.500 (63.339)
Epoch: [7][3720/14090]	Time 0.736 (0.749)	Data 0.001 (0.002)	Loss 2.4302 (2.8176)	Prec@1 41.406 (33.269)	Prec@5 73.438 (63.342)
Epoch: [7][3730/14090]	Time 0.754 (0.749)	Data 0.001 (0.002)	Loss 2.8330 (2.8176)	Prec@1 34.375 (33.266)	Prec@5 64.844 (63.342)
Epoch: [7][3740/14090]	Time 0.752 (0.749)	Data 0.001 (0.002)	Loss 2.8251 (2.8176)	Prec@1 35.156 (33.267)	Prec@5 62.500 (63.338)
Epoch: [7][3750/14090]	Time 0.753 (0.749)	Data 0.001 (0.002)	Loss 2.9778 (2.8178)	Prec@1 30.469 (33.265)	Prec@5 57.812 (63.337)
Epoch: [7][3760/14090]	Time 0.731 (0.749)	Data 0.002 (0.002)	Loss 2.9314 (2.8180)	Prec@1 32.031 (33.259)	Prec@5 64.062 (63.330)
Epoch: [7][3770/14090]	Time 0.756 (0.749)	Data 0.001 (0.002)	Loss 2.8038 (2.8183)	Prec@1 34.375 (33.254)	Prec@5 63.281 (63.326)
Epoch: [7][3780/14090]	Time 0.750 (0.749)	Data 0.001 (0.002)	Loss 3.1006 (2.8183)	Prec@1 28.125 (33.255)	Prec@5 58.594 (63.325)
Epoch: [7][3790/14090]	Time 0.734 (0.749)	Data 0.001 (0.002)	Loss 2.9144 (2.8182)	Prec@1 30.469 (33.252)	Prec@5 60.938 (63.331)
Epoch: [7][3800/14090]	Time 0.778 (0.749)	Data 0.001 (0.002)	Loss 2.9717 (2.8184)	Prec@1 32.031 (33.247)	Prec@5 58.594 (63.327)
Epoch: [7][3810/14090]	Time 0.731 (0.749)	Data 0.001 (0.002)	Loss 2.7282 (2.8184)	Prec@1 39.062 (33.247)	Prec@5 68.750 (63.327)
Epoch: [7][3820/14090]	Time 0.742 (0.749)	Data 0.001 (0.002)	Loss 2.9606 (2.8186)	Prec@1 32.812 (33.242)	Prec@5 62.500 (63.326)
Epoch: [7][3830/14090]	Time 0.757 (0.749)	Data 0.002 (0.002)	Loss 2.7621 (2.8186)	Prec@1 29.688 (33.239)	Prec@5 64.062 (63.328)
Epoch: [7][3840/14090]	Time 0.741 (0.749)	Data 0.001 (0.002)	Loss 3.0403 (2.8187)	Prec@1 33.594 (33.233)	Prec@5 57.812 (63.323)
Epoch: [7][3850/14090]	Time 0.733 (0.749)	Data 0.001 (0.002)	Loss 2.9218 (2.8186)	Prec@1 32.031 (33.240)	Prec@5 60.156 (63.326)
Epoch: [7][3860/14090]	Time 0.738 (0.749)	Data 0.001 (0.002)	Loss 2.6156 (2.8185)	Prec@1 31.250 (33.239)	Prec@5 67.188 (63.330)
Epoch: [7][3870/14090]	Time 0.759 (0.749)	Data 0.002 (0.002)	Loss 2.8574 (2.8187)	Prec@1 32.031 (33.235)	Prec@5 63.281 (63.327)
Epoch: [7][3880/14090]	Time 0.779 (0.749)	Data 0.001 (0.002)	Loss 3.0209 (2.8189)	Prec@1 31.250 (33.231)	Prec@5 59.375 (63.328)
Epoch: [7][3890/14090]	Time 0.725 (0.749)	Data 0.001 (0.002)	Loss 2.9055 (2.8190)	Prec@1 31.250 (33.232)	Prec@5 60.938 (63.328)
Epoch: [7][3900/14090]	Time 0.745 (0.749)	Data 0.002 (0.002)	Loss 2.6200 (2.8191)	Prec@1 34.375 (33.228)	Prec@5 64.844 (63.326)
Epoch: [7][3910/14090]	Time 0.766 (0.749)	Data 0.001 (0.002)	Loss 3.1850 (2.8190)	Prec@1 25.781 (33.225)	Prec@5 57.031 (63.330)
Epoch: [7][3920/14090]	Time 0.749 (0.749)	Data 0.001 (0.002)	Loss 2.8907 (2.8192)	Prec@1 32.812 (33.221)	Prec@5 55.469 (63.324)
Epoch: [7][3930/14090]	Time 0.753 (0.749)	Data 0.001 (0.002)	Loss 3.1740 (2.8192)	Prec@1 25.781 (33.222)	Prec@5 60.938 (63.325)
Epoch: [7][3940/14090]	Time 0.733 (0.749)	Data 0.001 (0.002)	Loss 2.7029 (2.8189)	Prec@1 35.938 (33.224)	Prec@5 63.281 (63.329)
Epoch: [7][3950/14090]	Time 0.751 (0.749)	Data 0.001 (0.002)	Loss 2.8824 (2.8189)	Prec@1 28.906 (33.226)	Prec@5 61.719 (63.327)
Epoch: [7][3960/14090]	Time 0.727 (0.749)	Data 0.001 (0.002)	Loss 2.9995 (2.8189)	Prec@1 34.375 (33.226)	Prec@5 59.375 (63.324)
Epoch: [7][3970/14090]	Time 0.735 (0.749)	Data 0.002 (0.002)	Loss 2.8991 (2.8188)	Prec@1 26.562 (33.227)	Prec@5 60.156 (63.325)
Epoch: [7][3980/14090]	Time 0.734 (0.749)	Data 0.001 (0.002)	Loss 3.2277 (2.8190)	Prec@1 29.688 (33.225)	Prec@5 57.812 (63.323)
Epoch: [7][3990/14090]	Time 0.744 (0.749)	Data 0.001 (0.002)	Loss 2.7245 (2.8190)	Prec@1 32.031 (33.224)	Prec@5 65.625 (63.326)
Epoch: [7][4000/14090]	Time 0.753 (0.749)	Data 0.001 (0.002)	Loss 2.9094 (2.8190)	Prec@1 30.469 (33.226)	Prec@5 58.594 (63.325)
Epoch: [7][4010/14090]	Time 0.743 (0.749)	Data 0.001 (0.002)	Loss 3.0496 (2.8190)	Prec@1 32.031 (33.225)	Prec@5 55.469 (63.324)
Epoch: [7][4020/14090]	Time 0.734 (0.749)	Data 0.001 (0.002)	Loss 2.9470 (2.8191)	Prec@1 29.688 (33.221)	Prec@5 60.156 (63.321)
Epoch: [7][4030/14090]	Time 0.764 (0.749)	Data 0.001 (0.002)	Loss 2.8495 (2.8193)	Prec@1 33.594 (33.219)	Prec@5 60.938 (63.316)
Epoch: [7][4040/14090]	Time 0.747 (0.749)	Data 0.002 (0.002)	Loss 2.9406 (2.8193)	Prec@1 30.469 (33.220)	Prec@5 57.812 (63.314)
Epoch: [7][4050/14090]	Time 0.733 (0.749)	Data 0.001 (0.002)	Loss 2.8544 (2.8195)	Prec@1 35.156 (33.218)	Prec@5 66.406 (63.312)
Epoch: [7][4060/14090]	Time 0.775 (0.749)	Data 0.001 (0.002)	Loss 2.7709 (2.8193)	Prec@1 32.812 (33.223)	Prec@5 64.844 (63.318)
Epoch: [7][4070/14090]	Time 0.749 (0.749)	Data 0.001 (0.002)	Loss 2.8339 (2.8192)	Prec@1 35.938 (33.223)	Prec@5 64.844 (63.324)
Epoch: [7][4080/14090]	Time 0.757 (0.749)	Data 0.001 (0.002)	Loss 3.1113 (2.8190)	Prec@1 34.375 (33.227)	Prec@5 58.594 (63.331)
Epoch: [7][4090/14090]	Time 0.736 (0.749)	Data 0.001 (0.002)	Loss 2.8270 (2.8187)	Prec@1 33.594 (33.231)	Prec@5 62.500 (63.337)
Epoch: [7][4100/14090]	Time 0.727 (0.749)	Data 0.001 (0.002)	Loss 2.9246 (2.8188)	Prec@1 31.250 (33.230)	Prec@5 64.062 (63.335)
Epoch: [7][4110/14090]	Time 0.739 (0.749)	Data 0.002 (0.002)	Loss 2.7047 (2.8189)	Prec@1 34.375 (33.229)	Prec@5 65.625 (63.331)
Epoch: [7][4120/14090]	Time 0.749 (0.749)	Data 0.001 (0.002)	Loss 2.9056 (2.8190)	Prec@1 32.031 (33.233)	Prec@5 61.719 (63.334)
Epoch: [7][4130/14090]	Time 0.754 (0.749)	Data 0.001 (0.002)	Loss 2.9413 (2.8190)	Prec@1 30.469 (33.232)	Prec@5 60.156 (63.333)
Epoch: [7][4140/14090]	Time 0.742 (0.749)	Data 0.001 (0.002)	Loss 2.6206 (2.8190)	Prec@1 41.406 (33.232)	Prec@5 67.188 (63.332)
Epoch: [7][4150/14090]	Time 0.751 (0.749)	Data 0.001 (0.002)	Loss 2.5371 (2.8188)	Prec@1 37.500 (33.238)	Prec@5 67.188 (63.338)
Epoch: [7][4160/14090]	Time 0.730 (0.749)	Data 0.001 (0.002)	Loss 2.6125 (2.8188)	Prec@1 39.844 (33.238)	Prec@5 68.750 (63.338)
Epoch: [7][4170/14090]	Time 0.750 (0.749)	Data 0.001 (0.002)	Loss 2.8720 (2.8186)	Prec@1 30.469 (33.243)	Prec@5 61.719 (63.342)
Epoch: [7][4180/14090]	Time 0.722 (0.749)	Data 0.002 (0.002)	Loss 2.5692 (2.8187)	Prec@1 37.500 (33.242)	Prec@5 64.844 (63.343)
Epoch: [7][4190/14090]	Time 0.745 (0.749)	Data 0.001 (0.002)	Loss 2.6557 (2.8183)	Prec@1 32.812 (33.249)	Prec@5 64.062 (63.348)
Epoch: [7][4200/14090]	Time 0.755 (0.749)	Data 0.001 (0.002)	Loss 2.8000 (2.8182)	Prec@1 32.031 (33.254)	Prec@5 65.625 (63.352)
Epoch: [7][4210/14090]	Time 0.759 (0.749)	Data 0.001 (0.002)	Loss 2.6992 (2.8181)	Prec@1 34.375 (33.253)	Prec@5 64.062 (63.351)
Epoch: [7][4220/14090]	Time 0.742 (0.749)	Data 0.001 (0.002)	Loss 2.7393 (2.8181)	Prec@1 42.188 (33.254)	Prec@5 62.500 (63.351)
Epoch: [7][4230/14090]	Time 0.753 (0.749)	Data 0.001 (0.002)	Loss 2.6946 (2.8180)	Prec@1 32.031 (33.255)	Prec@5 66.406 (63.354)
Epoch: [7][4240/14090]	Time 0.726 (0.749)	Data 0.001 (0.002)	Loss 2.9197 (2.8179)	Prec@1 33.594 (33.259)	Prec@5 63.281 (63.359)
Epoch: [7][4250/14090]	Time 0.727 (0.749)	Data 0.002 (0.002)	Loss 2.2401 (2.8176)	Prec@1 39.844 (33.260)	Prec@5 78.125 (63.365)
Epoch: [7][4260/14090]	Time 0.740 (0.749)	Data 0.001 (0.002)	Loss 2.8355 (2.8176)	Prec@1 32.812 (33.261)	Prec@5 64.844 (63.366)
Epoch: [7][4270/14090]	Time 0.749 (0.749)	Data 0.001 (0.002)	Loss 2.9024 (2.8175)	Prec@1 35.938 (33.266)	Prec@5 58.594 (63.365)
Epoch: [7][4280/14090]	Time 0.723 (0.749)	Data 0.001 (0.002)	Loss 2.8000 (2.8176)	Prec@1 35.156 (33.268)	Prec@5 65.625 (63.364)
Epoch: [7][4290/14090]	Time 0.731 (0.749)	Data 0.001 (0.002)	Loss 2.7897 (2.8176)	Prec@1 31.250 (33.268)	Prec@5 63.281 (63.366)
Epoch: [7][4300/14090]	Time 0.729 (0.749)	Data 0.001 (0.002)	Loss 3.0734 (2.8177)	Prec@1 28.906 (33.268)	Prec@5 58.594 (63.365)
Epoch: [7][4310/14090]	Time 0.767 (0.749)	Data 0.001 (0.002)	Loss 3.0298 (2.8180)	Prec@1 28.125 (33.261)	Prec@5 55.469 (63.362)
Epoch: [7][4320/14090]	Time 0.755 (0.749)	Data 0.002 (0.002)	Loss 2.6789 (2.8180)	Prec@1 41.406 (33.261)	Prec@5 67.969 (63.362)
Epoch: [7][4330/14090]	Time 0.764 (0.749)	Data 0.001 (0.002)	Loss 2.8315 (2.8179)	Prec@1 30.469 (33.262)	Prec@5 60.938 (63.364)
Epoch: [7][4340/14090]	Time 0.739 (0.749)	Data 0.001 (0.002)	Loss 2.5226 (2.8175)	Prec@1 34.375 (33.268)	Prec@5 68.750 (63.369)
Epoch: [7][4350/14090]	Time 0.733 (0.749)	Data 0.001 (0.002)	Loss 2.6320 (2.8173)	Prec@1 33.594 (33.271)	Prec@5 70.312 (63.372)
Epoch: [7][4360/14090]	Time 0.749 (0.749)	Data 0.001 (0.002)	Loss 2.7125 (2.8172)	Prec@1 32.812 (33.273)	Prec@5 65.625 (63.373)
Epoch: [7][4370/14090]	Time 0.725 (0.749)	Data 0.001 (0.002)	Loss 2.7460 (2.8171)	Prec@1 32.031 (33.270)	Prec@5 65.625 (63.374)
Epoch: [7][4380/14090]	Time 0.746 (0.749)	Data 0.001 (0.002)	Loss 2.6497 (2.8172)	Prec@1 41.406 (33.272)	Prec@5 65.625 (63.375)
Epoch: [7][4390/14090]	Time 0.761 (0.749)	Data 0.002 (0.002)	Loss 2.5426 (2.8172)	Prec@1 39.062 (33.274)	Prec@5 65.625 (63.373)
Epoch: [7][4400/14090]	Time 0.741 (0.749)	Data 0.001 (0.002)	Loss 2.8170 (2.8172)	Prec@1 31.250 (33.271)	Prec@5 65.625 (63.374)
Epoch: [7][4410/14090]	Time 0.758 (0.749)	Data 0.001 (0.002)	Loss 2.7394 (2.8170)	Prec@1 38.281 (33.274)	Prec@5 64.844 (63.377)
Epoch: [7][4420/14090]	Time 0.754 (0.749)	Data 0.001 (0.002)	Loss 2.7651 (2.8171)	Prec@1 32.812 (33.276)	Prec@5 62.500 (63.376)
Epoch: [7][4430/14090]	Time 0.770 (0.749)	Data 0.001 (0.002)	Loss 2.8881 (2.8173)	Prec@1 35.156 (33.272)	Prec@5 60.938 (63.369)
Epoch: [7][4440/14090]	Time 0.740 (0.749)	Data 0.001 (0.002)	Loss 2.7375 (2.8176)	Prec@1 29.688 (33.266)	Prec@5 64.844 (63.365)
Epoch: [7][4450/14090]	Time 0.762 (0.749)	Data 0.001 (0.002)	Loss 2.9660 (2.8174)	Prec@1 26.562 (33.266)	Prec@5 59.375 (63.368)
Epoch: [7][4460/14090]	Time 0.730 (0.749)	Data 0.002 (0.002)	Loss 2.4545 (2.8174)	Prec@1 41.406 (33.265)	Prec@5 69.531 (63.368)
Epoch: [7][4470/14090]	Time 0.734 (0.749)	Data 0.001 (0.002)	Loss 2.7456 (2.8174)	Prec@1 34.375 (33.266)	Prec@5 64.062 (63.373)
Epoch: [7][4480/14090]	Time 0.751 (0.749)	Data 0.001 (0.002)	Loss 2.7293 (2.8173)	Prec@1 40.625 (33.270)	Prec@5 63.281 (63.375)
Epoch: [7][4490/14090]	Time 0.751 (0.749)	Data 0.001 (0.002)	Loss 2.5587 (2.8175)	Prec@1 39.844 (33.269)	Prec@5 67.188 (63.373)
Epoch: [7][4500/14090]	Time 0.742 (0.749)	Data 0.001 (0.002)	Loss 2.9197 (2.8172)	Prec@1 34.375 (33.276)	Prec@5 60.156 (63.377)
Epoch: [7][4510/14090]	Time 0.745 (0.749)	Data 0.001 (0.002)	Loss 2.7016 (2.8172)	Prec@1 35.938 (33.276)	Prec@5 64.844 (63.377)
Epoch: [7][4520/14090]	Time 0.734 (0.749)	Data 0.001 (0.002)	Loss 2.6660 (2.8171)	Prec@1 32.031 (33.278)	Prec@5 62.500 (63.375)
Epoch: [7][4530/14090]	Time 0.741 (0.749)	Data 0.002 (0.002)	Loss 2.9740 (2.8170)	Prec@1 30.469 (33.279)	Prec@5 63.281 (63.377)
Epoch: [7][4540/14090]	Time 0.723 (0.749)	Data 0.001 (0.002)	Loss 2.7789 (2.8169)	Prec@1 35.938 (33.281)	Prec@5 64.844 (63.379)
Epoch: [7][4550/14090]	Time 0.730 (0.749)	Data 0.001 (0.002)	Loss 2.6559 (2.8168)	Prec@1 35.156 (33.282)	Prec@5 65.625 (63.380)
Epoch: [7][4560/14090]	Time 0.764 (0.749)	Data 0.001 (0.002)	Loss 2.9763 (2.8167)	Prec@1 29.688 (33.283)	Prec@5 57.031 (63.381)
Epoch: [7][4570/14090]	Time 0.751 (0.749)	Data 0.001 (0.002)	Loss 2.9387 (2.8166)	Prec@1 30.469 (33.287)	Prec@5 64.062 (63.381)
Epoch: [7][4580/14090]	Time 0.744 (0.749)	Data 0.001 (0.002)	Loss 2.6364 (2.8165)	Prec@1 40.625 (33.288)	Prec@5 65.625 (63.382)
Epoch: [7][4590/14090]	Time 0.760 (0.749)	Data 0.001 (0.002)	Loss 2.9036 (2.8165)	Prec@1 31.250 (33.287)	Prec@5 60.938 (63.379)
Epoch: [7][4600/14090]	Time 0.757 (0.749)	Data 0.002 (0.002)	Loss 2.7347 (2.8164)	Prec@1 38.281 (33.292)	Prec@5 64.844 (63.382)
Epoch: [7][4610/14090]	Time 0.765 (0.749)	Data 0.001 (0.002)	Loss 2.6633 (2.8162)	Prec@1 35.156 (33.295)	Prec@5 66.406 (63.389)
Epoch: [7][4620/14090]	Time 0.772 (0.749)	Data 0.001 (0.002)	Loss 2.8408 (2.8164)	Prec@1 32.812 (33.293)	Prec@5 60.938 (63.385)
Epoch: [7][4630/14090]	Time 0.729 (0.749)	Data 0.001 (0.002)	Loss 2.7818 (2.8163)	Prec@1 32.031 (33.296)	Prec@5 64.062 (63.390)
Epoch: [7][4640/14090]	Time 0.741 (0.749)	Data 0.001 (0.002)	Loss 2.9761 (2.8159)	Prec@1 32.812 (33.304)	Prec@5 57.031 (63.396)
Epoch: [7][4650/14090]	Time 0.743 (0.749)	Data 0.001 (0.002)	Loss 2.8269 (2.8157)	Prec@1 32.812 (33.307)	Prec@5 62.500 (63.402)
Epoch: [7][4660/14090]	Time 0.754 (0.749)	Data 0.001 (0.002)	Loss 2.6680 (2.8155)	Prec@1 35.156 (33.312)	Prec@5 70.312 (63.409)
Epoch: [7][4670/14090]	Time 0.732 (0.749)	Data 0.002 (0.002)	Loss 2.6844 (2.8155)	Prec@1 34.375 (33.313)	Prec@5 62.500 (63.408)
Epoch: [7][4680/14090]	Time 0.766 (0.749)	Data 0.001 (0.002)	Loss 2.7161 (2.8155)	Prec@1 32.812 (33.313)	Prec@5 64.844 (63.409)
Epoch: [7][4690/14090]	Time 0.737 (0.749)	Data 0.001 (0.002)	Loss 2.7578 (2.8156)	Prec@1 28.125 (33.311)	Prec@5 65.625 (63.411)
Epoch: [7][4700/14090]	Time 0.723 (0.749)	Data 0.001 (0.002)	Loss 2.5559 (2.8155)	Prec@1 39.062 (33.311)	Prec@5 67.969 (63.415)
Epoch: [7][4710/14090]	Time 0.771 (0.749)	Data 0.001 (0.002)	Loss 2.9039 (2.8154)	Prec@1 26.562 (33.310)	Prec@5 59.375 (63.418)
Epoch: [7][4720/14090]	Time 0.732 (0.749)	Data 0.001 (0.002)	Loss 2.9680 (2.8154)	Prec@1 25.781 (33.307)	Prec@5 64.844 (63.418)
Epoch: [7][4730/14090]	Time 0.726 (0.749)	Data 0.001 (0.002)	Loss 2.7167 (2.8153)	Prec@1 33.594 (33.308)	Prec@5 70.312 (63.421)
Epoch: [7][4740/14090]	Time 0.756 (0.749)	Data 0.002 (0.002)	Loss 2.9253 (2.8154)	Prec@1 28.906 (33.304)	Prec@5 64.844 (63.419)
Epoch: [7][4750/14090]	Time 0.740 (0.749)	Data 0.001 (0.002)	Loss 2.9699 (2.8155)	Prec@1 28.125 (33.302)	Prec@5 59.375 (63.418)
Epoch: [7][4760/14090]	Time 0.756 (0.749)	Data 0.001 (0.002)	Loss 2.7291 (2.8154)	Prec@1 28.906 (33.306)	Prec@5 66.406 (63.424)
Epoch: [7][4770/14090]	Time 0.769 (0.749)	Data 0.001 (0.002)	Loss 2.6636 (2.8154)	Prec@1 36.719 (33.304)	Prec@5 66.406 (63.424)
Epoch: [7][4780/14090]	Time 0.757 (0.749)	Data 0.001 (0.002)	Loss 2.8211 (2.8155)	Prec@1 33.594 (33.301)	Prec@5 61.719 (63.420)
Epoch: [7][4790/14090]	Time 0.733 (0.749)	Data 0.001 (0.002)	Loss 2.5102 (2.8154)	Prec@1 42.188 (33.304)	Prec@5 67.188 (63.422)
Epoch: [7][4800/14090]	Time 0.748 (0.749)	Data 0.001 (0.002)	Loss 2.8357 (2.8155)	Prec@1 32.812 (33.300)	Prec@5 57.812 (63.416)
Epoch: [7][4810/14090]	Time 0.748 (0.749)	Data 0.003 (0.002)	Loss 3.2413 (2.8157)	Prec@1 20.312 (33.296)	Prec@5 52.344 (63.411)
Epoch: [7][4820/14090]	Time 0.744 (0.749)	Data 0.001 (0.002)	Loss 3.0671 (2.8157)	Prec@1 27.344 (33.292)	Prec@5 60.156 (63.409)
Epoch: [7][4830/14090]	Time 0.735 (0.749)	Data 0.001 (0.002)	Loss 2.4657 (2.8156)	Prec@1 42.969 (33.298)	Prec@5 66.406 (63.411)
Epoch: [7][4840/14090]	Time 0.743 (0.749)	Data 0.001 (0.002)	Loss 2.8139 (2.8157)	Prec@1 39.062 (33.295)	Prec@5 64.844 (63.409)
Epoch: [7][4850/14090]	Time 0.759 (0.749)	Data 0.001 (0.002)	Loss 2.6993 (2.8157)	Prec@1 37.500 (33.295)	Prec@5 67.969 (63.408)
Epoch: [7][4860/14090]	Time 0.739 (0.749)	Data 0.001 (0.002)	Loss 3.0188 (2.8158)	Prec@1 32.031 (33.295)	Prec@5 54.688 (63.409)
Epoch: [7][4870/14090]	Time 0.729 (0.749)	Data 0.001 (0.002)	Loss 2.7520 (2.8157)	Prec@1 33.594 (33.296)	Prec@5 62.500 (63.411)
Epoch: [7][4880/14090]	Time 0.744 (0.749)	Data 0.002 (0.002)	Loss 3.3133 (2.8155)	Prec@1 25.000 (33.300)	Prec@5 55.469 (63.416)
Epoch: [7][4890/14090]	Time 0.755 (0.749)	Data 0.001 (0.002)	Loss 2.8731 (2.8157)	Prec@1 30.469 (33.300)	Prec@5 65.625 (63.413)
Epoch: [7][4900/14090]	Time 0.733 (0.749)	Data 0.001 (0.002)	Loss 2.7034 (2.8156)	Prec@1 41.406 (33.305)	Prec@5 64.844 (63.412)
Epoch: [7][4910/14090]	Time 0.769 (0.749)	Data 0.001 (0.002)	Loss 3.0357 (2.8157)	Prec@1 36.719 (33.304)	Prec@5 63.281 (63.414)
Epoch: [7][4920/14090]	Time 0.722 (0.749)	Data 0.001 (0.002)	Loss 2.8279 (2.8159)	Prec@1 35.938 (33.301)	Prec@5 62.500 (63.409)
Epoch: [7][4930/14090]	Time 0.737 (0.749)	Data 0.001 (0.002)	Loss 2.6918 (2.8161)	Prec@1 32.031 (33.298)	Prec@5 64.844 (63.405)
Epoch: [7][4940/14090]	Time 0.741 (0.749)	Data 0.001 (0.002)	Loss 3.0295 (2.8160)	Prec@1 28.906 (33.300)	Prec@5 63.281 (63.408)
Epoch: [7][4950/14090]	Time 0.760 (0.749)	Data 0.002 (0.002)	Loss 3.0598 (2.8160)	Prec@1 30.469 (33.298)	Prec@5 62.500 (63.408)
Epoch: [7][4960/14090]	Time 0.777 (0.749)	Data 0.001 (0.002)	Loss 2.4997 (2.8160)	Prec@1 35.938 (33.298)	Prec@5 64.844 (63.411)
Epoch: [7][4970/14090]	Time 0.720 (0.749)	Data 0.001 (0.002)	Loss 2.8265 (2.8160)	Prec@1 34.375 (33.298)	Prec@5 61.719 (63.412)
Epoch: [7][4980/14090]	Time 0.749 (0.749)	Data 0.001 (0.002)	Loss 2.6956 (2.8159)	Prec@1 39.062 (33.300)	Prec@5 63.281 (63.412)
Epoch: [7][4990/14090]	Time 0.757 (0.749)	Data 0.001 (0.002)	Loss 2.6173 (2.8162)	Prec@1 33.594 (33.295)	Prec@5 66.406 (63.410)
Epoch: [7][5000/14090]	Time 0.757 (0.749)	Data 0.001 (0.002)	Loss 2.9337 (2.8162)	Prec@1 32.031 (33.296)	Prec@5 60.156 (63.410)
Epoch: [7][5010/14090]	Time 0.774 (0.749)	Data 0.001 (0.002)	Loss 2.9007 (2.8162)	Prec@1 30.469 (33.296)	Prec@5 59.375 (63.409)
Epoch: [7][5020/14090]	Time 0.737 (0.749)	Data 0.002 (0.002)	Loss 2.7718 (2.8162)	Prec@1 36.719 (33.296)	Prec@5 59.375 (63.411)
Epoch: [7][5030/14090]	Time 0.735 (0.749)	Data 0.001 (0.002)	Loss 3.1143 (2.8161)	Prec@1 28.125 (33.298)	Prec@5 56.250 (63.413)
Epoch: [7][5040/14090]	Time 0.763 (0.749)	Data 0.001 (0.002)	Loss 2.5496 (2.8160)	Prec@1 41.406 (33.296)	Prec@5 72.656 (63.417)
Epoch: [7][5050/14090]	Time 0.759 (0.749)	Data 0.001 (0.002)	Loss 2.8603 (2.8158)	Prec@1 33.594 (33.298)	Prec@5 63.281 (63.422)
Epoch: [7][5060/14090]	Time 0.774 (0.749)	Data 0.001 (0.002)	Loss 2.9442 (2.8160)	Prec@1 31.250 (33.296)	Prec@5 60.156 (63.417)
Epoch: [7][5070/14090]	Time 0.731 (0.749)	Data 0.001 (0.002)	Loss 2.9798 (2.8159)	Prec@1 32.812 (33.297)	Prec@5 60.938 (63.418)
Epoch: [7][5080/14090]	Time 0.724 (0.749)	Data 0.001 (0.002)	Loss 2.8335 (2.8159)	Prec@1 28.906 (33.298)	Prec@5 67.188 (63.420)
Epoch: [7][5090/14090]	Time 0.737 (0.749)	Data 0.001 (0.002)	Loss 2.5925 (2.8157)	Prec@1 35.938 (33.304)	Prec@5 69.531 (63.424)
Epoch: [7][5100/14090]	Time 0.741 (0.749)	Data 0.001 (0.002)	Loss 3.0589 (2.8157)	Prec@1 29.688 (33.307)	Prec@5 61.719 (63.426)
Epoch: [7][5110/14090]	Time 0.760 (0.749)	Data 0.001 (0.002)	Loss 3.2519 (2.8157)	Prec@1 28.125 (33.307)	Prec@5 53.125 (63.427)
Epoch: [7][5120/14090]	Time 0.748 (0.749)	Data 0.001 (0.002)	Loss 2.8967 (2.8156)	Prec@1 35.156 (33.308)	Prec@5 58.594 (63.426)
Epoch: [7][5130/14090]	Time 0.749 (0.749)	Data 0.001 (0.002)	Loss 2.9825 (2.8154)	Prec@1 28.906 (33.311)	Prec@5 57.812 (63.431)
Epoch: [7][5140/14090]	Time 0.772 (0.749)	Data 0.001 (0.002)	Loss 2.7156 (2.8154)	Prec@1 37.500 (33.315)	Prec@5 64.844 (63.432)
Epoch: [7][5150/14090]	Time 0.745 (0.749)	Data 0.001 (0.002)	Loss 3.0724 (2.8156)	Prec@1 27.344 (33.313)	Prec@5 58.594 (63.427)
Epoch: [7][5160/14090]	Time 0.723 (0.749)	Data 0.004 (0.002)	Loss 2.8723 (2.8156)	Prec@1 32.031 (33.314)	Prec@5 60.938 (63.427)
Epoch: [7][5170/14090]	Time 0.749 (0.749)	Data 0.001 (0.002)	Loss 2.9378 (2.8154)	Prec@1 36.719 (33.316)	Prec@5 57.812 (63.431)
Epoch: [7][5180/14090]	Time 0.761 (0.749)	Data 0.001 (0.002)	Loss 2.7884 (2.8152)	Prec@1 35.938 (33.319)	Prec@5 58.594 (63.430)
Epoch: [7][5190/14090]	Time 0.735 (0.749)	Data 0.001 (0.002)	Loss 2.7871 (2.8152)	Prec@1 35.156 (33.321)	Prec@5 59.375 (63.433)
Epoch: [7][5200/14090]	Time 0.743 (0.749)	Data 0.001 (0.002)	Loss 2.8361 (2.8152)	Prec@1 35.938 (33.320)	Prec@5 60.938 (63.433)
Epoch: [7][5210/14090]	Time 0.742 (0.749)	Data 0.001 (0.002)	Loss 3.0007 (2.8155)	Prec@1 27.344 (33.316)	Prec@5 64.062 (63.426)
Epoch: [7][5220/14090]	Time 0.759 (0.749)	Data 0.001 (0.002)	Loss 3.0144 (2.8155)	Prec@1 33.594 (33.316)	Prec@5 57.812 (63.426)
Epoch: [7][5230/14090]	Time 0.730 (0.749)	Data 0.002 (0.002)	Loss 2.3988 (2.8153)	Prec@1 36.719 (33.322)	Prec@5 68.750 (63.429)
Epoch: [7][5240/14090]	Time 0.769 (0.749)	Data 0.002 (0.002)	Loss 3.0381 (2.8155)	Prec@1 32.031 (33.321)	Prec@5 60.156 (63.429)
Epoch: [7][5250/14090]	Time 0.737 (0.749)	Data 0.001 (0.002)	Loss 2.8085 (2.8156)	Prec@1 30.469 (33.320)	Prec@5 64.062 (63.428)
Epoch: [7][5260/14090]	Time 0.763 (0.749)	Data 0.002 (0.002)	Loss 2.7868 (2.8156)	Prec@1 38.281 (33.318)	Prec@5 67.188 (63.426)
Epoch: [7][5270/14090]	Time 0.745 (0.749)	Data 0.001 (0.002)	Loss 2.7466 (2.8154)	Prec@1 34.375 (33.321)	Prec@5 67.188 (63.430)
Epoch: [7][5280/14090]	Time 0.758 (0.749)	Data 0.001 (0.002)	Loss 2.9832 (2.8154)	Prec@1 25.781 (33.323)	Prec@5 59.375 (63.428)
Epoch: [7][5290/14090]	Time 0.755 (0.749)	Data 0.001 (0.002)	Loss 2.7023 (2.8153)	Prec@1 32.812 (33.322)	Prec@5 60.156 (63.428)
Epoch: [7][5300/14090]	Time 0.731 (0.749)	Data 0.002 (0.002)	Loss 2.8667 (2.8155)	Prec@1 32.031 (33.318)	Prec@5 67.969 (63.425)
Epoch: [7][5310/14090]	Time 0.762 (0.749)	Data 0.001 (0.002)	Loss 2.5999 (2.8156)	Prec@1 42.188 (33.319)	Prec@5 71.094 (63.427)
Epoch: [7][5320/14090]	Time 0.730 (0.749)	Data 0.001 (0.002)	Loss 2.4641 (2.8155)	Prec@1 42.969 (33.323)	Prec@5 67.969 (63.426)
Epoch: [7][5330/14090]	Time 0.751 (0.749)	Data 0.001 (0.002)	Loss 2.5725 (2.8155)	Prec@1 43.750 (33.325)	Prec@5 64.844 (63.426)
Epoch: [7][5340/14090]	Time 0.736 (0.749)	Data 0.001 (0.002)	Loss 2.9032 (2.8156)	Prec@1 33.594 (33.324)	Prec@5 62.500 (63.426)
Epoch: [7][5350/14090]	Time 0.759 (0.749)	Data 0.001 (0.002)	Loss 2.9730 (2.8156)	Prec@1 26.562 (33.322)	Prec@5 64.062 (63.424)
Epoch: [7][5360/14090]	Time 0.751 (0.749)	Data 0.001 (0.002)	Loss 2.7614 (2.8156)	Prec@1 33.594 (33.320)	Prec@5 64.062 (63.425)
Epoch: [7][5370/14090]	Time 0.747 (0.749)	Data 0.002 (0.002)	Loss 2.9873 (2.8158)	Prec@1 33.594 (33.317)	Prec@5 54.688 (63.421)
Epoch: [7][5380/14090]	Time 0.771 (0.749)	Data 0.001 (0.002)	Loss 3.0145 (2.8159)	Prec@1 25.781 (33.315)	Prec@5 61.719 (63.415)
Epoch: [7][5390/14090]	Time 0.758 (0.749)	Data 0.001 (0.002)	Loss 2.7333 (2.8159)	Prec@1 33.594 (33.314)	Prec@5 63.281 (63.411)
Epoch: [7][5400/14090]	Time 0.742 (0.749)	Data 0.001 (0.002)	Loss 3.1168 (2.8159)	Prec@1 28.125 (33.314)	Prec@5 58.594 (63.411)
Epoch: [7][5410/14090]	Time 0.755 (0.749)	Data 0.001 (0.002)	Loss 3.1790 (2.8159)	Prec@1 27.344 (33.314)	Prec@5 56.250 (63.410)
Epoch: [7][5420/14090]	Time 0.754 (0.749)	Data 0.001 (0.002)	Loss 2.7088 (2.8159)	Prec@1 33.594 (33.315)	Prec@5 61.719 (63.413)
Epoch: [7][5430/14090]	Time 0.737 (0.749)	Data 0.001 (0.002)	Loss 2.8036 (2.8159)	Prec@1 29.688 (33.313)	Prec@5 66.406 (63.412)
Epoch: [7][5440/14090]	Time 0.747 (0.749)	Data 0.002 (0.002)	Loss 3.0729 (2.8160)	Prec@1 31.250 (33.313)	Prec@5 57.812 (63.414)
Epoch: [7][5450/14090]	Time 0.753 (0.749)	Data 0.001 (0.002)	Loss 2.7526 (2.8159)	Prec@1 35.156 (33.313)	Prec@5 64.062 (63.417)
Epoch: [7][5460/14090]	Time 0.734 (0.749)	Data 0.001 (0.002)	Loss 2.5747 (2.8159)	Prec@1 43.750 (33.312)	Prec@5 70.312 (63.417)
Epoch: [7][5470/14090]	Time 0.760 (0.749)	Data 0.001 (0.002)	Loss 2.7539 (2.8159)	Prec@1 32.812 (33.308)	Prec@5 66.406 (63.418)
Epoch: [7][5480/14090]	Time 0.766 (0.749)	Data 0.002 (0.002)	Loss 2.8681 (2.8158)	Prec@1 34.375 (33.307)	Prec@5 63.281 (63.418)
Epoch: [7][5490/14090]	Time 0.755 (0.749)	Data 0.001 (0.002)	Loss 2.8431 (2.8158)	Prec@1 31.250 (33.310)	Prec@5 61.719 (63.418)
Epoch: [7][5500/14090]	Time 0.757 (0.749)	Data 0.001 (0.002)	Loss 2.6879 (2.8158)	Prec@1 35.156 (33.310)	Prec@5 69.531 (63.421)
Epoch: [7][5510/14090]	Time 0.733 (0.749)	Data 0.002 (0.002)	Loss 2.6972 (2.8159)	Prec@1 31.250 (33.305)	Prec@5 66.406 (63.421)
Epoch: [7][5520/14090]	Time 0.738 (0.749)	Data 0.001 (0.002)	Loss 3.0101 (2.8159)	Prec@1 28.906 (33.304)	Prec@5 64.062 (63.421)
Epoch: [7][5530/14090]	Time 0.727 (0.749)	Data 0.001 (0.002)	Loss 2.6283 (2.8158)	Prec@1 32.812 (33.306)	Prec@5 68.750 (63.422)
Epoch: [7][5540/14090]	Time 0.774 (0.749)	Data 0.001 (0.002)	Loss 2.8647 (2.8159)	Prec@1 35.156 (33.305)	Prec@5 61.719 (63.422)
Epoch: [7][5550/14090]	Time 0.722 (0.749)	Data 0.001 (0.002)	Loss 2.9027 (2.8158)	Prec@1 36.719 (33.309)	Prec@5 62.500 (63.423)
Epoch: [7][5560/14090]	Time 0.776 (0.749)	Data 0.001 (0.002)	Loss 3.0021 (2.8159)	Prec@1 29.688 (33.311)	Prec@5 60.156 (63.420)
Epoch: [7][5570/14090]	Time 0.764 (0.749)	Data 0.001 (0.002)	Loss 2.9428 (2.8160)	Prec@1 26.562 (33.307)	Prec@5 66.406 (63.424)
Epoch: [7][5580/14090]	Time 0.759 (0.749)	Data 0.002 (0.002)	Loss 2.4592 (2.8158)	Prec@1 33.594 (33.311)	Prec@5 72.656 (63.427)
Epoch: [7][5590/14090]	Time 0.779 (0.749)	Data 0.001 (0.002)	Loss 3.2734 (2.8160)	Prec@1 23.438 (33.307)	Prec@5 56.250 (63.421)
Epoch: [7][5600/14090]	Time 0.731 (0.749)	Data 0.001 (0.002)	Loss 3.0309 (2.8161)	Prec@1 28.125 (33.305)	Prec@5 58.594 (63.419)
Epoch: [7][5610/14090]	Time 0.726 (0.749)	Data 0.001 (0.002)	Loss 2.7764 (2.8163)	Prec@1 36.719 (33.304)	Prec@5 60.156 (63.414)
Epoch: [7][5620/14090]	Time 0.769 (0.749)	Data 0.001 (0.002)	Loss 2.7864 (2.8163)	Prec@1 32.812 (33.303)	Prec@5 63.281 (63.412)
Epoch: [7][5630/14090]	Time 0.741 (0.749)	Data 0.001 (0.002)	Loss 2.6850 (2.8161)	Prec@1 35.938 (33.312)	Prec@5 68.750 (63.418)
Epoch: [7][5640/14090]	Time 0.745 (0.749)	Data 0.001 (0.002)	Loss 2.6407 (2.8161)	Prec@1 33.594 (33.312)	Prec@5 67.969 (63.419)
Epoch: [7][5650/14090]	Time 0.736 (0.749)	Data 0.002 (0.002)	Loss 2.9383 (2.8162)	Prec@1 33.594 (33.312)	Prec@5 62.500 (63.416)
Epoch: [7][5660/14090]	Time 0.766 (0.749)	Data 0.001 (0.002)	Loss 2.8417 (2.8163)	Prec@1 33.594 (33.308)	Prec@5 60.156 (63.419)
Epoch: [7][5670/14090]	Time 0.733 (0.749)	Data 0.001 (0.002)	Loss 2.5361 (2.8163)	Prec@1 35.156 (33.307)	Prec@5 64.062 (63.416)
Epoch: [7][5680/14090]	Time 0.725 (0.749)	Data 0.001 (0.002)	Loss 2.7957 (2.8161)	Prec@1 29.688 (33.307)	Prec@5 61.719 (63.421)
Epoch: [7][5690/14090]	Time 0.728 (0.749)	Data 0.001 (0.002)	Loss 2.8550 (2.8160)	Prec@1 35.938 (33.308)	Prec@5 61.719 (63.422)
Epoch: [7][5700/14090]	Time 0.740 (0.749)	Data 0.001 (0.002)	Loss 2.9114 (2.8161)	Prec@1 31.250 (33.309)	Prec@5 57.812 (63.424)
Epoch: [7][5710/14090]	Time 0.723 (0.749)	Data 0.001 (0.002)	Loss 2.6408 (2.8159)	Prec@1 31.250 (33.309)	Prec@5 67.188 (63.430)
Epoch: [7][5720/14090]	Time 0.733 (0.749)	Data 0.002 (0.002)	Loss 2.9118 (2.8160)	Prec@1 25.781 (33.307)	Prec@5 63.281 (63.427)
Epoch: [7][5730/14090]	Time 0.743 (0.749)	Data 0.001 (0.002)	Loss 3.1440 (2.8160)	Prec@1 27.344 (33.308)	Prec@5 54.688 (63.427)
Epoch: [7][5740/14090]	Time 0.777 (0.749)	Data 0.001 (0.002)	Loss 2.7267 (2.8159)	Prec@1 35.156 (33.304)	Prec@5 68.750 (63.429)
Epoch: [7][5750/14090]	Time 0.754 (0.749)	Data 0.001 (0.002)	Loss 3.0826 (2.8160)	Prec@1 28.906 (33.302)	Prec@5 54.688 (63.427)
Epoch: [7][5760/14090]	Time 0.746 (0.749)	Data 0.001 (0.002)	Loss 2.9875 (2.8161)	Prec@1 28.906 (33.299)	Prec@5 58.594 (63.427)
Epoch: [7][5770/14090]	Time 0.757 (0.749)	Data 0.001 (0.002)	Loss 2.9307 (2.8160)	Prec@1 35.156 (33.301)	Prec@5 61.719 (63.426)
Epoch: [7][5780/14090]	Time 0.768 (0.749)	Data 0.001 (0.002)	Loss 3.0283 (2.8161)	Prec@1 32.031 (33.302)	Prec@5 63.281 (63.427)
Epoch: [7][5790/14090]	Time 0.737 (0.749)	Data 0.002 (0.002)	Loss 2.7165 (2.8160)	Prec@1 32.031 (33.305)	Prec@5 63.281 (63.427)
Epoch: [7][5800/14090]	Time 0.726 (0.749)	Data 0.001 (0.002)	Loss 2.6157 (2.8159)	Prec@1 39.062 (33.307)	Prec@5 65.625 (63.430)
Epoch: [7][5810/14090]	Time 0.741 (0.749)	Data 0.001 (0.002)	Loss 2.7655 (2.8160)	Prec@1 36.719 (33.303)	Prec@5 66.406 (63.426)
Epoch: [7][5820/14090]	Time 0.729 (0.749)	Data 0.001 (0.002)	Loss 3.0660 (2.8159)	Prec@1 32.812 (33.306)	Prec@5 57.812 (63.429)
Epoch: [7][5830/14090]	Time 0.769 (0.749)	Data 0.001 (0.002)	Loss 2.2704 (2.8159)	Prec@1 44.531 (33.309)	Prec@5 74.219 (63.429)
Epoch: [7][5840/14090]	Time 0.756 (0.749)	Data 0.001 (0.002)	Loss 2.9895 (2.8159)	Prec@1 32.812 (33.307)	Prec@5 57.812 (63.430)
Epoch: [7][5850/14090]	Time 0.734 (0.749)	Data 0.001 (0.002)	Loss 2.7006 (2.8158)	Prec@1 37.500 (33.305)	Prec@5 62.500 (63.429)
Epoch: [7][5860/14090]	Time 0.737 (0.749)	Data 0.002 (0.002)	Loss 3.0177 (2.8159)	Prec@1 32.812 (33.305)	Prec@5 57.031 (63.428)
Epoch: [7][5870/14090]	Time 0.760 (0.749)	Data 0.001 (0.002)	Loss 2.8234 (2.8158)	Prec@1 32.812 (33.308)	Prec@5 60.938 (63.429)
Epoch: [7][5880/14090]	Time 0.732 (0.749)	Data 0.001 (0.002)	Loss 2.9003 (2.8158)	Prec@1 30.469 (33.305)	Prec@5 61.719 (63.429)
Epoch: [7][5890/14090]	Time 0.758 (0.749)	Data 0.001 (0.002)	Loss 2.8149 (2.8159)	Prec@1 38.281 (33.306)	Prec@5 63.281 (63.429)
Epoch: [7][5900/14090]	Time 0.753 (0.749)	Data 0.001 (0.002)	Loss 2.8501 (2.8158)	Prec@1 35.156 (33.310)	Prec@5 64.844 (63.431)
Epoch: [7][5910/14090]	Time 0.744 (0.749)	Data 0.001 (0.002)	Loss 2.6979 (2.8157)	Prec@1 35.156 (33.311)	Prec@5 65.625 (63.434)
Epoch: [7][5920/14090]	Time 0.752 (0.749)	Data 0.001 (0.002)	Loss 2.9565 (2.8155)	Prec@1 29.688 (33.312)	Prec@5 64.062 (63.438)
Epoch: [7][5930/14090]	Time 0.740 (0.749)	Data 0.002 (0.002)	Loss 2.9461 (2.8155)	Prec@1 35.156 (33.311)	Prec@5 60.156 (63.438)
Epoch: [7][5940/14090]	Time 0.758 (0.749)	Data 0.001 (0.002)	Loss 3.1960 (2.8156)	Prec@1 27.344 (33.310)	Prec@5 56.250 (63.436)
Epoch: [7][5950/14090]	Time 0.734 (0.749)	Data 0.001 (0.002)	Loss 3.0176 (2.8156)	Prec@1 25.781 (33.309)	Prec@5 57.812 (63.438)
Epoch: [7][5960/14090]	Time 0.774 (0.749)	Data 0.001 (0.002)	Loss 3.1616 (2.8155)	Prec@1 27.344 (33.308)	Prec@5 56.250 (63.438)
Epoch: [7][5970/14090]	Time 0.736 (0.749)	Data 0.001 (0.002)	Loss 2.9057 (2.8156)	Prec@1 32.812 (33.305)	Prec@5 60.938 (63.439)
Epoch: [7][5980/14090]	Time 0.767 (0.749)	Data 0.001 (0.002)	Loss 2.7878 (2.8157)	Prec@1 34.375 (33.304)	Prec@5 59.375 (63.436)
Epoch: [7][5990/14090]	Time 0.766 (0.749)	Data 0.001 (0.002)	Loss 3.0074 (2.8157)	Prec@1 32.031 (33.303)	Prec@5 57.031 (63.436)
Epoch: [7][6000/14090]	Time 0.754 (0.749)	Data 0.002 (0.002)	Loss 2.9585 (2.8156)	Prec@1 33.594 (33.304)	Prec@5 57.812 (63.437)
Epoch: [7][6010/14090]	Time 0.750 (0.749)	Data 0.002 (0.002)	Loss 2.8792 (2.8156)	Prec@1 35.156 (33.304)	Prec@5 64.844 (63.436)
Epoch: [7][6020/14090]	Time 0.744 (0.749)	Data 0.001 (0.002)	Loss 2.9236 (2.8156)	Prec@1 32.812 (33.304)	Prec@5 57.812 (63.436)
Epoch: [7][6030/14090]	Time 0.767 (0.749)	Data 0.001 (0.002)	Loss 2.7490 (2.8158)	Prec@1 32.031 (33.302)	Prec@5 63.281 (63.433)
Epoch: [7][6040/14090]	Time 0.758 (0.749)	Data 0.001 (0.002)	Loss 3.1961 (2.8159)	Prec@1 25.000 (33.300)	Prec@5 57.812 (63.430)
Epoch: [7][6050/14090]	Time 0.724 (0.749)	Data 0.001 (0.002)	Loss 2.7475 (2.8161)	Prec@1 33.594 (33.297)	Prec@5 66.406 (63.426)
Epoch: [7][6060/14090]	Time 0.753 (0.749)	Data 0.001 (0.002)	Loss 2.7373 (2.8160)	Prec@1 39.062 (33.300)	Prec@5 63.281 (63.425)
Epoch: [7][6070/14090]	Time 0.732 (0.749)	Data 0.002 (0.002)	Loss 2.8404 (2.8160)	Prec@1 31.250 (33.300)	Prec@5 64.062 (63.424)
Epoch: [7][6080/14090]	Time 0.747 (0.749)	Data 0.001 (0.002)	Loss 2.7944 (2.8161)	Prec@1 35.156 (33.302)	Prec@5 63.281 (63.422)
Epoch: [7][6090/14090]	Time 0.733 (0.749)	Data 0.001 (0.002)	Loss 2.7427 (2.8160)	Prec@1 34.375 (33.304)	Prec@5 67.188 (63.423)
Epoch: [7][6100/14090]	Time 0.761 (0.749)	Data 0.001 (0.002)	Loss 2.7887 (2.8162)	Prec@1 31.250 (33.302)	Prec@5 67.188 (63.419)
Epoch: [7][6110/14090]	Time 0.742 (0.749)	Data 0.001 (0.002)	Loss 2.8094 (2.8165)	Prec@1 33.594 (33.297)	Prec@5 64.062 (63.414)
Epoch: [7][6120/14090]	Time 0.749 (0.749)	Data 0.001 (0.002)	Loss 2.7591 (2.8166)	Prec@1 33.594 (33.295)	Prec@5 62.500 (63.412)
Epoch: [7][6130/14090]	Time 0.756 (0.749)	Data 0.001 (0.002)	Loss 3.2277 (2.8166)	Prec@1 24.219 (33.297)	Prec@5 56.250 (63.411)
Epoch: [7][6140/14090]	Time 0.782 (0.749)	Data 0.002 (0.002)	Loss 3.0098 (2.8166)	Prec@1 27.344 (33.297)	Prec@5 59.375 (63.410)
Epoch: [7][6150/14090]	Time 0.724 (0.749)	Data 0.001 (0.002)	Loss 2.7063 (2.8167)	Prec@1 31.250 (33.293)	Prec@5 66.406 (63.410)
Epoch: [7][6160/14090]	Time 0.742 (0.749)	Data 0.001 (0.002)	Loss 2.9979 (2.8169)	Prec@1 31.250 (33.290)	Prec@5 56.250 (63.406)
Epoch: [7][6170/14090]	Time 0.735 (0.749)	Data 0.001 (0.002)	Loss 2.8249 (2.8169)	Prec@1 32.031 (33.290)	Prec@5 64.844 (63.407)
Epoch: [7][6180/14090]	Time 0.757 (0.749)	Data 0.001 (0.002)	Loss 2.9121 (2.8170)	Prec@1 28.906 (33.284)	Prec@5 60.938 (63.405)
Epoch: [7][6190/14090]	Time 0.753 (0.749)	Data 0.001 (0.002)	Loss 3.0682 (2.8170)	Prec@1 32.812 (33.287)	Prec@5 60.156 (63.408)
Epoch: [7][6200/14090]	Time 0.755 (0.749)	Data 0.001 (0.002)	Loss 2.7940 (2.8169)	Prec@1 39.062 (33.288)	Prec@5 64.844 (63.409)
Epoch: [7][6210/14090]	Time 0.761 (0.749)	Data 0.002 (0.002)	Loss 2.6887 (2.8170)	Prec@1 33.594 (33.285)	Prec@5 65.625 (63.409)
Epoch: [7][6220/14090]	Time 0.733 (0.749)	Data 0.001 (0.002)	Loss 3.0382 (2.8172)	Prec@1 32.031 (33.282)	Prec@5 59.375 (63.407)
Epoch: [7][6230/14090]	Time 0.742 (0.749)	Data 0.001 (0.002)	Loss 2.4898 (2.8172)	Prec@1 35.156 (33.281)	Prec@5 70.312 (63.406)
Epoch: [7][6240/14090]	Time 0.744 (0.749)	Data 0.001 (0.002)	Loss 2.9371 (2.8173)	Prec@1 36.719 (33.281)	Prec@5 63.281 (63.404)
Epoch: [7][6250/14090]	Time 0.749 (0.749)	Data 0.001 (0.002)	Loss 2.7991 (2.8172)	Prec@1 39.062 (33.283)	Prec@5 61.719 (63.408)
Epoch: [7][6260/14090]	Time 0.741 (0.749)	Data 0.001 (0.002)	Loss 2.8736 (2.8171)	Prec@1 38.281 (33.286)	Prec@5 61.719 (63.408)
Epoch: [7][6270/14090]	Time 0.735 (0.749)	Data 0.001 (0.002)	Loss 2.8057 (2.8171)	Prec@1 33.594 (33.288)	Prec@5 66.406 (63.410)
Epoch: [7][6280/14090]	Time 0.758 (0.749)	Data 0.002 (0.002)	Loss 3.1617 (2.8171)	Prec@1 30.469 (33.289)	Prec@5 56.250 (63.412)
Epoch: [7][6290/14090]	Time 0.732 (0.749)	Data 0.001 (0.002)	Loss 2.9775 (2.8171)	Prec@1 26.562 (33.287)	Prec@5 62.500 (63.411)
Epoch: [7][6300/14090]	Time 0.761 (0.749)	Data 0.001 (0.002)	Loss 2.7174 (2.8170)	Prec@1 39.062 (33.288)	Prec@5 65.625 (63.413)
Epoch: [7][6310/14090]	Time 0.772 (0.749)	Data 0.001 (0.002)	Loss 2.8260 (2.8171)	Prec@1 34.375 (33.287)	Prec@5 64.062 (63.410)
Epoch: [7][6320/14090]	Time 0.725 (0.749)	Data 0.001 (0.002)	Loss 2.8552 (2.8171)	Prec@1 34.375 (33.289)	Prec@5 59.375 (63.408)
Epoch: [7][6330/14090]	Time 0.724 (0.749)	Data 0.001 (0.002)	Loss 2.8886 (2.8172)	Prec@1 32.031 (33.288)	Prec@5 65.625 (63.406)
Epoch: [7][6340/14090]	Time 0.735 (0.749)	Data 0.001 (0.002)	Loss 2.7242 (2.8172)	Prec@1 41.406 (33.290)	Prec@5 62.500 (63.404)
Epoch: [7][6350/14090]	Time 0.757 (0.749)	Data 0.002 (0.002)	Loss 2.8339 (2.8173)	Prec@1 36.719 (33.291)	Prec@5 62.500 (63.404)
Epoch: [7][6360/14090]	Time 0.748 (0.749)	Data 0.001 (0.002)	Loss 2.7712 (2.8172)	Prec@1 35.156 (33.293)	Prec@5 64.062 (63.404)
Epoch: [7][6370/14090]	Time 0.761 (0.749)	Data 0.001 (0.002)	Loss 2.6488 (2.8173)	Prec@1 34.375 (33.290)	Prec@5 67.188 (63.403)
Epoch: [7][6380/14090]	Time 0.738 (0.749)	Data 0.001 (0.002)	Loss 2.7706 (2.8173)	Prec@1 36.719 (33.290)	Prec@5 62.500 (63.401)
Epoch: [7][6390/14090]	Time 0.776 (0.749)	Data 0.002 (0.002)	Loss 2.7433 (2.8172)	Prec@1 29.688 (33.292)	Prec@5 62.500 (63.403)
Epoch: [7][6400/14090]	Time 0.788 (0.749)	Data 0.001 (0.002)	Loss 2.6252 (2.8172)	Prec@1 36.719 (33.294)	Prec@5 67.969 (63.403)
Epoch: [7][6410/14090]	Time 0.747 (0.749)	Data 0.001 (0.002)	Loss 2.7969 (2.8173)	Prec@1 35.156 (33.293)	Prec@5 57.812 (63.399)
Epoch: [7][6420/14090]	Time 0.761 (0.749)	Data 0.002 (0.002)	Loss 2.8799 (2.8172)	Prec@1 32.812 (33.294)	Prec@5 57.812 (63.401)
Epoch: [7][6430/14090]	Time 0.754 (0.749)	Data 0.001 (0.002)	Loss 2.5898 (2.8171)	Prec@1 40.625 (33.298)	Prec@5 67.188 (63.403)
Epoch: [7][6440/14090]	Time 0.764 (0.749)	Data 0.001 (0.002)	Loss 2.7093 (2.8170)	Prec@1 31.250 (33.297)	Prec@5 65.625 (63.404)
Epoch: [7][6450/14090]	Time 0.737 (0.749)	Data 0.002 (0.002)	Loss 2.9370 (2.8170)	Prec@1 32.812 (33.300)	Prec@5 59.375 (63.403)
Epoch: [7][6460/14090]	Time 0.767 (0.749)	Data 0.001 (0.002)	Loss 2.8658 (2.8170)	Prec@1 34.375 (33.301)	Prec@5 61.719 (63.403)
Epoch: [7][6470/14090]	Time 0.743 (0.749)	Data 0.002 (0.002)	Loss 2.7311 (2.8170)	Prec@1 40.625 (33.301)	Prec@5 62.500 (63.405)
Epoch: [7][6480/14090]	Time 0.725 (0.749)	Data 0.001 (0.002)	Loss 2.7472 (2.8170)	Prec@1 35.938 (33.304)	Prec@5 64.844 (63.405)
Epoch: [7][6490/14090]	Time 0.753 (0.749)	Data 0.002 (0.002)	Loss 2.8284 (2.8171)	Prec@1 29.688 (33.302)	Prec@5 63.281 (63.403)
Epoch: [7][6500/14090]	Time 0.772 (0.749)	Data 0.001 (0.002)	Loss 2.6582 (2.8170)	Prec@1 41.406 (33.307)	Prec@5 65.625 (63.404)
Epoch: [7][6510/14090]	Time 0.766 (0.749)	Data 0.001 (0.002)	Loss 2.7325 (2.8170)	Prec@1 36.719 (33.308)	Prec@5 68.750 (63.404)
Epoch: [7][6520/14090]	Time 0.753 (0.749)	Data 0.001 (0.002)	Loss 3.1437 (2.8171)	Prec@1 27.344 (33.306)	Prec@5 58.594 (63.402)
Epoch: [7][6530/14090]	Time 0.743 (0.749)	Data 0.001 (0.002)	Loss 2.8934 (2.8171)	Prec@1 37.500 (33.307)	Prec@5 60.938 (63.405)
Epoch: [7][6540/14090]	Time 0.729 (0.749)	Data 0.001 (0.002)	Loss 3.0548 (2.8171)	Prec@1 28.906 (33.309)	Prec@5 56.250 (63.403)
Epoch: [7][6550/14090]	Time 0.738 (0.749)	Data 0.001 (0.002)	Loss 3.1066 (2.8171)	Prec@1 24.219 (33.307)	Prec@5 57.812 (63.407)
Epoch: [7][6560/14090]	Time 0.757 (0.749)	Data 0.002 (0.001)	Loss 2.8358 (2.8171)	Prec@1 34.375 (33.309)	Prec@5 64.062 (63.406)
Epoch: [7][6570/14090]	Time 0.733 (0.749)	Data 0.001 (0.001)	Loss 2.5666 (2.8171)	Prec@1 40.625 (33.309)	Prec@5 67.188 (63.406)
Epoch: [7][6580/14090]	Time 0.739 (0.749)	Data 0.001 (0.001)	Loss 2.5760 (2.8170)	Prec@1 33.594 (33.311)	Prec@5 71.094 (63.410)
Epoch: [7][6590/14090]	Time 0.759 (0.749)	Data 0.002 (0.001)	Loss 2.6988 (2.8169)	Prec@1 35.156 (33.312)	Prec@5 67.188 (63.411)
Epoch: [7][6600/14090]	Time 0.749 (0.749)	Data 0.003 (0.001)	Loss 2.7748 (2.8169)	Prec@1 37.500 (33.313)	Prec@5 64.844 (63.411)
Epoch: [7][6610/14090]	Time 0.750 (0.749)	Data 0.002 (0.001)	Loss 2.6179 (2.8169)	Prec@1 39.062 (33.311)	Prec@5 68.750 (63.410)
Epoch: [7][6620/14090]	Time 0.758 (0.749)	Data 0.001 (0.001)	Loss 2.8361 (2.8169)	Prec@1 25.781 (33.311)	Prec@5 63.281 (63.410)
Epoch: [7][6630/14090]	Time 0.736 (0.749)	Data 0.002 (0.001)	Loss 2.8570 (2.8168)	Prec@1 35.156 (33.313)	Prec@5 60.938 (63.411)
Epoch: [7][6640/14090]	Time 0.765 (0.749)	Data 0.001 (0.001)	Loss 2.5264 (2.8169)	Prec@1 44.531 (33.313)	Prec@5 73.438 (63.410)
Epoch: [7][6650/14090]	Time 0.725 (0.749)	Data 0.001 (0.001)	Loss 3.0876 (2.8169)	Prec@1 28.906 (33.316)	Prec@5 57.812 (63.410)
Epoch: [7][6660/14090]	Time 0.755 (0.749)	Data 0.001 (0.001)	Loss 3.0126 (2.8170)	Prec@1 30.469 (33.313)	Prec@5 60.156 (63.408)
Epoch: [7][6670/14090]	Time 0.782 (0.749)	Data 0.001 (0.001)	Loss 2.8994 (2.8170)	Prec@1 27.344 (33.310)	Prec@5 59.375 (63.405)
Epoch: [7][6680/14090]	Time 0.733 (0.749)	Data 0.001 (0.001)	Loss 2.8531 (2.8170)	Prec@1 33.594 (33.310)	Prec@5 62.500 (63.405)
Epoch: [7][6690/14090]	Time 0.768 (0.749)	Data 0.001 (0.001)	Loss 2.7432 (2.8170)	Prec@1 38.281 (33.308)	Prec@5 60.156 (63.405)
Epoch: [7][6700/14090]	Time 0.770 (0.749)	Data 0.002 (0.001)	Loss 2.9031 (2.8170)	Prec@1 30.469 (33.308)	Prec@5 63.281 (63.407)
Epoch: [7][6710/14090]	Time 0.733 (0.749)	Data 0.001 (0.001)	Loss 2.3963 (2.8170)	Prec@1 42.188 (33.307)	Prec@5 71.094 (63.409)
Epoch: [7][6720/14090]	Time 0.729 (0.749)	Data 0.001 (0.001)	Loss 2.8002 (2.8168)	Prec@1 34.375 (33.310)	Prec@5 63.281 (63.413)
Epoch: [7][6730/14090]	Time 0.748 (0.749)	Data 0.001 (0.001)	Loss 2.8329 (2.8167)	Prec@1 36.719 (33.312)	Prec@5 64.062 (63.414)
Epoch: [7][6740/14090]	Time 0.766 (0.749)	Data 0.001 (0.001)	Loss 2.9712 (2.8167)	Prec@1 30.469 (33.313)	Prec@5 60.156 (63.415)
Epoch: [7][6750/14090]	Time 0.747 (0.749)	Data 0.001 (0.001)	Loss 2.8333 (2.8167)	Prec@1 35.156 (33.314)	Prec@5 62.500 (63.415)
Epoch: [7][6760/14090]	Time 0.781 (0.749)	Data 0.001 (0.001)	Loss 3.0024 (2.8167)	Prec@1 28.906 (33.315)	Prec@5 60.938 (63.417)
Epoch: [7][6770/14090]	Time 0.766 (0.749)	Data 0.002 (0.001)	Loss 2.8206 (2.8165)	Prec@1 30.469 (33.318)	Prec@5 62.500 (63.421)
Epoch: [7][6780/14090]	Time 0.752 (0.749)	Data 0.001 (0.001)	Loss 3.0654 (2.8167)	Prec@1 28.906 (33.315)	Prec@5 54.688 (63.418)
Epoch: [7][6790/14090]	Time 0.746 (0.749)	Data 0.001 (0.001)	Loss 2.9949 (2.8168)	Prec@1 29.688 (33.316)	Prec@5 59.375 (63.417)
Epoch: [7][6800/14090]	Time 0.731 (0.749)	Data 0.001 (0.001)	Loss 2.5642 (2.8167)	Prec@1 35.938 (33.319)	Prec@5 67.969 (63.418)
Epoch: [7][6810/14090]	Time 0.744 (0.749)	Data 0.001 (0.001)	Loss 2.8893 (2.8168)	Prec@1 31.250 (33.318)	Prec@5 62.500 (63.416)
Epoch: [7][6820/14090]	Time 0.733 (0.749)	Data 0.001 (0.001)	Loss 2.8170 (2.8168)	Prec@1 32.031 (33.319)	Prec@5 60.156 (63.416)
Epoch: [7][6830/14090]	Time 0.777 (0.749)	Data 0.001 (0.001)	Loss 2.7292 (2.8167)	Prec@1 33.594 (33.318)	Prec@5 64.062 (63.418)
Epoch: [7][6840/14090]	Time 0.741 (0.749)	Data 0.003 (0.001)	Loss 2.9185 (2.8168)	Prec@1 33.594 (33.318)	Prec@5 59.375 (63.417)
Epoch: [7][6850/14090]	Time 0.760 (0.749)	Data 0.001 (0.001)	Loss 2.6423 (2.8170)	Prec@1 39.844 (33.317)	Prec@5 68.750 (63.416)
Epoch: [7][6860/14090]	Time 0.749 (0.749)	Data 0.001 (0.001)	Loss 2.7149 (2.8169)	Prec@1 35.156 (33.317)	Prec@5 67.969 (63.416)
Epoch: [7][6870/14090]	Time 0.779 (0.749)	Data 0.001 (0.001)	Loss 2.4918 (2.8168)	Prec@1 41.406 (33.318)	Prec@5 71.094 (63.421)
Epoch: [7][6880/14090]	Time 0.737 (0.749)	Data 0.001 (0.001)	Loss 2.9656 (2.8168)	Prec@1 32.031 (33.317)	Prec@5 63.281 (63.421)
Epoch: [7][6890/14090]	Time 0.746 (0.749)	Data 0.001 (0.001)	Loss 2.7462 (2.8168)	Prec@1 33.594 (33.317)	Prec@5 68.750 (63.424)
Epoch: [7][6900/14090]	Time 0.748 (0.749)	Data 0.001 (0.001)	Loss 2.9733 (2.8168)	Prec@1 24.219 (33.314)	Prec@5 64.844 (63.421)
Epoch: [7][6910/14090]	Time 0.756 (0.749)	Data 0.002 (0.001)	Loss 3.1292 (2.8170)	Prec@1 26.562 (33.312)	Prec@5 60.156 (63.419)
Epoch: [7][6920/14090]	Time 0.753 (0.749)	Data 0.001 (0.001)	Loss 2.8823 (2.8170)	Prec@1 33.594 (33.312)	Prec@5 61.719 (63.418)
Epoch: [7][6930/14090]	Time 0.770 (0.749)	Data 0.001 (0.001)	Loss 3.1723 (2.8172)	Prec@1 25.000 (33.309)	Prec@5 48.438 (63.414)
Epoch: [7][6940/14090]	Time 0.748 (0.749)	Data 0.001 (0.001)	Loss 2.5333 (2.8171)	Prec@1 37.500 (33.310)	Prec@5 63.281 (63.414)
Epoch: [7][6950/14090]	Time 0.726 (0.749)	Data 0.001 (0.001)	Loss 2.8017 (2.8171)	Prec@1 36.719 (33.308)	Prec@5 64.844 (63.413)
Epoch: [7][6960/14090]	Time 0.753 (0.749)	Data 0.001 (0.001)	Loss 2.8111 (2.8171)	Prec@1 37.500 (33.309)	Prec@5 64.844 (63.414)
Epoch: [7][6970/14090]	Time 0.728 (0.749)	Data 0.001 (0.001)	Loss 2.8783 (2.8172)	Prec@1 31.250 (33.309)	Prec@5 60.156 (63.413)
Epoch: [7][6980/14090]	Time 0.777 (0.749)	Data 0.002 (0.001)	Loss 2.8536 (2.8173)	Prec@1 35.156 (33.307)	Prec@5 64.062 (63.412)
Epoch: [7][6990/14090]	Time 0.743 (0.749)	Data 0.001 (0.001)	Loss 2.8184 (2.8174)	Prec@1 32.031 (33.306)	Prec@5 63.281 (63.412)
Epoch: [7][7000/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 2.9571 (2.8174)	Prec@1 28.125 (33.307)	Prec@5 63.281 (63.412)
Epoch: [7][7010/14090]	Time 0.750 (0.749)	Data 0.001 (0.001)	Loss 2.6825 (2.8174)	Prec@1 37.500 (33.307)	Prec@5 67.969 (63.412)
Epoch: [7][7020/14090]	Time 0.741 (0.749)	Data 0.001 (0.001)	Loss 2.7421 (2.8173)	Prec@1 38.281 (33.309)	Prec@5 65.625 (63.414)
Epoch: [7][7030/14090]	Time 0.761 (0.749)	Data 0.001 (0.001)	Loss 2.8271 (2.8173)	Prec@1 32.031 (33.310)	Prec@5 59.375 (63.416)
Epoch: [7][7040/14090]	Time 0.747 (0.749)	Data 0.001 (0.001)	Loss 2.8472 (2.8174)	Prec@1 31.250 (33.307)	Prec@5 67.188 (63.416)
Epoch: [7][7050/14090]	Time 0.734 (0.749)	Data 0.002 (0.001)	Loss 2.5610 (2.8174)	Prec@1 39.844 (33.307)	Prec@5 70.312 (63.415)
Epoch: [7][7060/14090]	Time 0.765 (0.749)	Data 0.001 (0.001)	Loss 2.7287 (2.8173)	Prec@1 37.500 (33.307)	Prec@5 67.188 (63.416)
Epoch: [7][7070/14090]	Time 0.746 (0.749)	Data 0.001 (0.001)	Loss 2.8893 (2.8173)	Prec@1 30.469 (33.307)	Prec@5 62.500 (63.416)
Epoch: [7][7080/14090]	Time 0.753 (0.749)	Data 0.001 (0.001)	Loss 2.5889 (2.8173)	Prec@1 37.500 (33.307)	Prec@5 68.750 (63.418)
Epoch: [7][7090/14090]	Time 0.722 (0.749)	Data 0.001 (0.001)	Loss 2.8100 (2.8173)	Prec@1 31.250 (33.307)	Prec@5 64.062 (63.420)
Epoch: [7][7100/14090]	Time 0.729 (0.749)	Data 0.001 (0.001)	Loss 2.8948 (2.8173)	Prec@1 35.156 (33.307)	Prec@5 60.938 (63.420)
Epoch: [7][7110/14090]	Time 0.741 (0.749)	Data 0.001 (0.001)	Loss 2.6934 (2.8173)	Prec@1 35.938 (33.309)	Prec@5 67.969 (63.420)
Epoch: [7][7120/14090]	Time 0.746 (0.749)	Data 0.002 (0.001)	Loss 3.0250 (2.8173)	Prec@1 25.781 (33.309)	Prec@5 54.688 (63.420)
Epoch: [7][7130/14090]	Time 0.737 (0.749)	Data 0.001 (0.001)	Loss 2.7406 (2.8173)	Prec@1 35.938 (33.307)	Prec@5 67.188 (63.421)
Epoch: [7][7140/14090]	Time 0.739 (0.749)	Data 0.001 (0.001)	Loss 3.3138 (2.8174)	Prec@1 23.438 (33.305)	Prec@5 56.250 (63.420)
Epoch: [7][7150/14090]	Time 0.736 (0.749)	Data 0.001 (0.001)	Loss 2.7956 (2.8175)	Prec@1 33.594 (33.302)	Prec@5 60.156 (63.416)
Epoch: [7][7160/14090]	Time 0.735 (0.749)	Data 0.001 (0.001)	Loss 2.8638 (2.8176)	Prec@1 33.594 (33.301)	Prec@5 61.719 (63.413)
Epoch: [7][7170/14090]	Time 0.755 (0.749)	Data 0.001 (0.001)	Loss 3.0427 (2.8178)	Prec@1 28.906 (33.299)	Prec@5 58.594 (63.411)
Epoch: [7][7180/14090]	Time 0.753 (0.749)	Data 0.001 (0.001)	Loss 2.8191 (2.8177)	Prec@1 32.031 (33.305)	Prec@5 60.938 (63.416)
Epoch: [7][7190/14090]	Time 0.778 (0.749)	Data 0.002 (0.001)	Loss 2.7552 (2.8176)	Prec@1 39.844 (33.306)	Prec@5 61.719 (63.417)
Epoch: [7][7200/14090]	Time 0.750 (0.749)	Data 0.001 (0.001)	Loss 3.0132 (2.8177)	Prec@1 28.125 (33.305)	Prec@5 60.938 (63.416)
Epoch: [7][7210/14090]	Time 0.767 (0.749)	Data 0.001 (0.001)	Loss 2.6234 (2.8177)	Prec@1 36.719 (33.303)	Prec@5 69.531 (63.415)
Epoch: [7][7220/14090]	Time 0.724 (0.749)	Data 0.001 (0.001)	Loss 2.8473 (2.8177)	Prec@1 37.500 (33.303)	Prec@5 60.156 (63.415)
Epoch: [7][7230/14090]	Time 0.736 (0.749)	Data 0.001 (0.001)	Loss 2.6380 (2.8177)	Prec@1 36.719 (33.303)	Prec@5 71.094 (63.415)
Epoch: [7][7240/14090]	Time 0.750 (0.749)	Data 0.001 (0.001)	Loss 2.7023 (2.8176)	Prec@1 39.844 (33.305)	Prec@5 67.188 (63.417)
Epoch: [7][7250/14090]	Time 0.734 (0.749)	Data 0.001 (0.001)	Loss 2.7107 (2.8176)	Prec@1 39.062 (33.303)	Prec@5 60.156 (63.416)
Epoch: [7][7260/14090]	Time 0.741 (0.749)	Data 0.002 (0.001)	Loss 2.8535 (2.8176)	Prec@1 36.719 (33.304)	Prec@5 60.156 (63.415)
Epoch: [7][7270/14090]	Time 0.763 (0.749)	Data 0.001 (0.001)	Loss 2.8581 (2.8176)	Prec@1 31.250 (33.302)	Prec@5 64.062 (63.415)
Epoch: [7][7280/14090]	Time 0.740 (0.749)	Data 0.001 (0.001)	Loss 3.1123 (2.8176)	Prec@1 21.875 (33.301)	Prec@5 57.812 (63.414)
Epoch: [7][7290/14090]	Time 0.756 (0.749)	Data 0.001 (0.001)	Loss 2.7701 (2.8177)	Prec@1 29.688 (33.301)	Prec@5 60.156 (63.412)
Epoch: [7][7300/14090]	Time 0.762 (0.749)	Data 0.001 (0.001)	Loss 2.7919 (2.8176)	Prec@1 29.688 (33.302)	Prec@5 64.844 (63.414)
Epoch: [7][7310/14090]	Time 0.726 (0.749)	Data 0.001 (0.001)	Loss 2.7505 (2.8176)	Prec@1 34.375 (33.302)	Prec@5 64.844 (63.415)
Epoch: [7][7320/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 2.9018 (2.8176)	Prec@1 35.938 (33.302)	Prec@5 63.281 (63.416)
Epoch: [7][7330/14090]	Time 0.753 (0.749)	Data 0.002 (0.001)	Loss 3.0315 (2.8177)	Prec@1 29.688 (33.301)	Prec@5 60.156 (63.412)
Epoch: [7][7340/14090]	Time 0.740 (0.749)	Data 0.001 (0.001)	Loss 2.5441 (2.8176)	Prec@1 39.844 (33.304)	Prec@5 69.531 (63.413)
Epoch: [7][7350/14090]	Time 0.736 (0.749)	Data 0.001 (0.001)	Loss 2.9778 (2.8175)	Prec@1 27.344 (33.305)	Prec@5 63.281 (63.415)
Epoch: [7][7360/14090]	Time 0.757 (0.749)	Data 0.001 (0.001)	Loss 2.5902 (2.8175)	Prec@1 37.500 (33.304)	Prec@5 69.531 (63.414)
Epoch: [7][7370/14090]	Time 0.752 (0.749)	Data 0.001 (0.001)	Loss 2.7528 (2.8176)	Prec@1 37.500 (33.305)	Prec@5 64.062 (63.412)
Epoch: [7][7380/14090]	Time 0.750 (0.749)	Data 0.001 (0.001)	Loss 2.9532 (2.8176)	Prec@1 33.594 (33.304)	Prec@5 58.594 (63.414)
Epoch: [7][7390/14090]	Time 0.770 (0.749)	Data 0.001 (0.001)	Loss 2.6159 (2.8175)	Prec@1 37.500 (33.304)	Prec@5 66.406 (63.414)
Epoch: [7][7400/14090]	Time 0.764 (0.749)	Data 0.002 (0.001)	Loss 2.9945 (2.8175)	Prec@1 31.250 (33.305)	Prec@5 59.375 (63.415)
Epoch: [7][7410/14090]	Time 0.754 (0.749)	Data 0.001 (0.001)	Loss 2.8110 (2.8175)	Prec@1 35.938 (33.307)	Prec@5 60.156 (63.417)
Epoch: [7][7420/14090]	Time 0.734 (0.749)	Data 0.001 (0.001)	Loss 2.9815 (2.8175)	Prec@1 31.250 (33.306)	Prec@5 64.062 (63.419)
Epoch: [7][7430/14090]	Time 0.729 (0.749)	Data 0.001 (0.001)	Loss 2.4724 (2.8175)	Prec@1 42.969 (33.306)	Prec@5 71.875 (63.417)
Epoch: [7][7440/14090]	Time 0.725 (0.749)	Data 0.001 (0.001)	Loss 3.0846 (2.8175)	Prec@1 23.438 (33.306)	Prec@5 56.250 (63.417)
Epoch: [7][7450/14090]	Time 0.794 (0.749)	Data 0.001 (0.001)	Loss 2.6340 (2.8177)	Prec@1 35.156 (33.303)	Prec@5 65.625 (63.412)
Epoch: [7][7460/14090]	Time 0.750 (0.749)	Data 0.001 (0.001)	Loss 2.9572 (2.8176)	Prec@1 28.906 (33.302)	Prec@5 63.281 (63.413)
Epoch: [7][7470/14090]	Time 0.764 (0.749)	Data 0.003 (0.001)	Loss 2.5777 (2.8176)	Prec@1 38.281 (33.303)	Prec@5 69.531 (63.415)
Epoch: [7][7480/14090]	Time 0.792 (0.749)	Data 0.001 (0.001)	Loss 2.8608 (2.8176)	Prec@1 37.500 (33.304)	Prec@5 60.156 (63.414)
Epoch: [7][7490/14090]	Time 0.728 (0.749)	Data 0.001 (0.001)	Loss 3.0993 (2.8176)	Prec@1 26.562 (33.303)	Prec@5 58.594 (63.415)
Epoch: [7][7500/14090]	Time 0.725 (0.749)	Data 0.001 (0.001)	Loss 2.6293 (2.8176)	Prec@1 36.719 (33.304)	Prec@5 67.188 (63.416)
Epoch: [7][7510/14090]	Time 0.767 (0.749)	Data 0.001 (0.001)	Loss 3.1012 (2.8176)	Prec@1 31.250 (33.305)	Prec@5 57.812 (63.416)
Epoch: [7][7520/14090]	Time 0.737 (0.749)	Data 0.001 (0.001)	Loss 2.7897 (2.8177)	Prec@1 31.250 (33.303)	Prec@5 63.281 (63.412)
Epoch: [7][7530/14090]	Time 0.748 (0.749)	Data 0.001 (0.001)	Loss 2.8413 (2.8176)	Prec@1 32.031 (33.305)	Prec@5 63.281 (63.409)
Epoch: [7][7540/14090]	Time 0.772 (0.749)	Data 0.002 (0.001)	Loss 2.9866 (2.8177)	Prec@1 34.375 (33.305)	Prec@5 56.250 (63.408)
Epoch: [7][7550/14090]	Time 0.737 (0.749)	Data 0.001 (0.001)	Loss 2.5455 (2.8176)	Prec@1 38.281 (33.306)	Prec@5 70.312 (63.409)
Epoch: [7][7560/14090]	Time 0.727 (0.749)	Data 0.001 (0.001)	Loss 2.9792 (2.8176)	Prec@1 28.906 (33.308)	Prec@5 63.281 (63.411)
Epoch: [7][7570/14090]	Time 0.746 (0.749)	Data 0.001 (0.001)	Loss 2.9781 (2.8176)	Prec@1 31.250 (33.310)	Prec@5 59.375 (63.410)
Epoch: [7][7580/14090]	Time 0.761 (0.749)	Data 0.001 (0.001)	Loss 2.7956 (2.8176)	Prec@1 31.250 (33.311)	Prec@5 64.844 (63.409)
Epoch: [7][7590/14090]	Time 0.743 (0.749)	Data 0.001 (0.001)	Loss 3.0198 (2.8177)	Prec@1 31.250 (33.309)	Prec@5 63.281 (63.407)
Epoch: [7][7600/14090]	Time 0.732 (0.749)	Data 0.001 (0.001)	Loss 2.5844 (2.8177)	Prec@1 41.406 (33.307)	Prec@5 66.406 (63.407)
Epoch: [7][7610/14090]	Time 0.735 (0.749)	Data 0.002 (0.001)	Loss 2.8975 (2.8177)	Prec@1 32.812 (33.307)	Prec@5 67.188 (63.408)
Epoch: [7][7620/14090]	Time 0.757 (0.749)	Data 0.001 (0.001)	Loss 2.8826 (2.8177)	Prec@1 28.125 (33.306)	Prec@5 56.250 (63.406)
Epoch: [7][7630/14090]	Time 0.750 (0.749)	Data 0.001 (0.001)	Loss 2.8624 (2.8176)	Prec@1 35.938 (33.306)	Prec@5 60.156 (63.407)
Epoch: [7][7640/14090]	Time 0.754 (0.749)	Data 0.001 (0.001)	Loss 2.6381 (2.8175)	Prec@1 39.844 (33.309)	Prec@5 66.406 (63.409)
Epoch: [7][7650/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 3.0777 (2.8175)	Prec@1 27.344 (33.309)	Prec@5 57.812 (63.410)
Epoch: [7][7660/14090]	Time 0.754 (0.749)	Data 0.001 (0.001)	Loss 3.2460 (2.8175)	Prec@1 25.000 (33.308)	Prec@5 57.031 (63.410)
Epoch: [7][7670/14090]	Time 0.754 (0.749)	Data 0.001 (0.001)	Loss 2.5965 (2.8175)	Prec@1 39.844 (33.309)	Prec@5 71.875 (63.411)
Epoch: [7][7680/14090]	Time 0.738 (0.749)	Data 0.002 (0.001)	Loss 2.9204 (2.8175)	Prec@1 32.031 (33.311)	Prec@5 60.938 (63.410)
Epoch: [7][7690/14090]	Time 0.784 (0.749)	Data 0.001 (0.001)	Loss 3.1833 (2.8176)	Prec@1 19.531 (33.311)	Prec@5 55.469 (63.410)
Epoch: [7][7700/14090]	Time 0.759 (0.749)	Data 0.001 (0.001)	Loss 2.7860 (2.8175)	Prec@1 36.719 (33.311)	Prec@5 66.406 (63.410)
Epoch: [7][7710/14090]	Time 0.754 (0.749)	Data 0.001 (0.001)	Loss 2.9201 (2.8176)	Prec@1 34.375 (33.312)	Prec@5 65.625 (63.410)
Epoch: [7][7720/14090]	Time 0.729 (0.749)	Data 0.001 (0.001)	Loss 2.7057 (2.8176)	Prec@1 30.469 (33.313)	Prec@5 67.188 (63.409)
Epoch: [7][7730/14090]	Time 0.750 (0.749)	Data 0.003 (0.001)	Loss 2.5293 (2.8176)	Prec@1 38.281 (33.313)	Prec@5 69.531 (63.410)
Epoch: [7][7740/14090]	Time 0.732 (0.749)	Data 0.001 (0.001)	Loss 2.9215 (2.8175)	Prec@1 28.906 (33.313)	Prec@5 63.281 (63.411)
Epoch: [7][7750/14090]	Time 0.727 (0.749)	Data 0.002 (0.001)	Loss 2.8589 (2.8175)	Prec@1 31.250 (33.314)	Prec@5 61.719 (63.411)
Epoch: [7][7760/14090]	Time 0.775 (0.749)	Data 0.001 (0.001)	Loss 2.6713 (2.8175)	Prec@1 39.062 (33.312)	Prec@5 63.281 (63.407)
Epoch: [7][7770/14090]	Time 0.770 (0.749)	Data 0.001 (0.001)	Loss 3.0288 (2.8175)	Prec@1 29.688 (33.312)	Prec@5 64.062 (63.410)
Epoch: [7][7780/14090]	Time 0.757 (0.749)	Data 0.001 (0.001)	Loss 2.7786 (2.8177)	Prec@1 31.250 (33.308)	Prec@5 67.188 (63.406)
Epoch: [7][7790/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 2.9668 (2.8176)	Prec@1 32.031 (33.308)	Prec@5 60.156 (63.407)
Epoch: [7][7800/14090]	Time 0.763 (0.749)	Data 0.001 (0.001)	Loss 2.8539 (2.8177)	Prec@1 31.250 (33.308)	Prec@5 66.406 (63.406)
Epoch: [7][7810/14090]	Time 0.746 (0.749)	Data 0.001 (0.001)	Loss 3.0174 (2.8177)	Prec@1 29.688 (33.305)	Prec@5 57.031 (63.406)
Epoch: [7][7820/14090]	Time 0.761 (0.749)	Data 0.002 (0.001)	Loss 3.1424 (2.8177)	Prec@1 31.250 (33.305)	Prec@5 60.938 (63.404)
Epoch: [7][7830/14090]	Time 0.727 (0.749)	Data 0.002 (0.001)	Loss 2.8698 (2.8178)	Prec@1 37.500 (33.305)	Prec@5 59.375 (63.402)
Epoch: [7][7840/14090]	Time 0.737 (0.749)	Data 0.001 (0.001)	Loss 2.6135 (2.8177)	Prec@1 36.719 (33.304)	Prec@5 64.844 (63.402)
Epoch: [7][7850/14090]	Time 0.732 (0.749)	Data 0.001 (0.001)	Loss 3.0237 (2.8177)	Prec@1 26.562 (33.302)	Prec@5 57.031 (63.402)
Epoch: [7][7860/14090]	Time 0.749 (0.749)	Data 0.001 (0.001)	Loss 2.8354 (2.8179)	Prec@1 33.594 (33.298)	Prec@5 64.062 (63.399)
Epoch: [7][7870/14090]	Time 0.744 (0.749)	Data 0.001 (0.001)	Loss 2.7318 (2.8179)	Prec@1 36.719 (33.299)	Prec@5 63.281 (63.397)
Epoch: [7][7880/14090]	Time 0.762 (0.749)	Data 0.001 (0.001)	Loss 2.8124 (2.8180)	Prec@1 29.688 (33.297)	Prec@5 65.625 (63.396)
Epoch: [7][7890/14090]	Time 0.725 (0.749)	Data 0.002 (0.001)	Loss 2.7403 (2.8181)	Prec@1 32.031 (33.298)	Prec@5 64.844 (63.396)
Epoch: [7][7900/14090]	Time 0.747 (0.749)	Data 0.001 (0.001)	Loss 2.7877 (2.8181)	Prec@1 36.719 (33.296)	Prec@5 63.281 (63.396)
Epoch: [7][7910/14090]	Time 0.740 (0.749)	Data 0.001 (0.001)	Loss 2.8661 (2.8181)	Prec@1 27.344 (33.295)	Prec@5 60.938 (63.395)
Epoch: [7][7920/14090]	Time 0.736 (0.749)	Data 0.001 (0.001)	Loss 2.7536 (2.8180)	Prec@1 30.469 (33.297)	Prec@5 64.844 (63.396)
Epoch: [7][7930/14090]	Time 0.734 (0.749)	Data 0.001 (0.001)	Loss 2.8813 (2.8181)	Prec@1 32.812 (33.295)	Prec@5 63.281 (63.395)
Epoch: [7][7940/14090]	Time 0.754 (0.749)	Data 0.001 (0.001)	Loss 2.9347 (2.8181)	Prec@1 28.906 (33.294)	Prec@5 59.375 (63.395)
Epoch: [7][7950/14090]	Time 0.740 (0.749)	Data 0.001 (0.001)	Loss 2.9842 (2.8182)	Prec@1 36.719 (33.295)	Prec@5 63.281 (63.394)
Epoch: [7][7960/14090]	Time 0.758 (0.749)	Data 0.002 (0.001)	Loss 2.9293 (2.8181)	Prec@1 31.250 (33.295)	Prec@5 57.812 (63.395)
Epoch: [7][7970/14090]	Time 0.750 (0.749)	Data 0.001 (0.001)	Loss 2.8199 (2.8180)	Prec@1 28.125 (33.296)	Prec@5 66.406 (63.397)
Epoch: [7][7980/14090]	Time 0.777 (0.749)	Data 0.001 (0.001)	Loss 2.9231 (2.8180)	Prec@1 35.938 (33.296)	Prec@5 60.938 (63.397)
Epoch: [7][7990/14090]	Time 0.739 (0.749)	Data 0.001 (0.001)	Loss 2.7558 (2.8179)	Prec@1 35.156 (33.298)	Prec@5 61.719 (63.400)
Epoch: [7][8000/14090]	Time 0.743 (0.749)	Data 0.001 (0.001)	Loss 2.9588 (2.8180)	Prec@1 31.250 (33.296)	Prec@5 58.594 (63.399)
Epoch: [7][8010/14090]	Time 0.737 (0.749)	Data 0.001 (0.001)	Loss 2.8357 (2.8179)	Prec@1 31.250 (33.296)	Prec@5 60.156 (63.400)
Epoch: [7][8020/14090]	Time 0.769 (0.749)	Data 0.001 (0.001)	Loss 3.0332 (2.8178)	Prec@1 27.344 (33.298)	Prec@5 59.375 (63.400)
Epoch: [7][8030/14090]	Time 0.735 (0.749)	Data 0.002 (0.001)	Loss 2.6608 (2.8177)	Prec@1 33.594 (33.299)	Prec@5 71.094 (63.402)
Epoch: [7][8040/14090]	Time 0.768 (0.749)	Data 0.001 (0.001)	Loss 2.8849 (2.8177)	Prec@1 28.906 (33.300)	Prec@5 59.375 (63.406)
Epoch: [7][8050/14090]	Time 0.732 (0.749)	Data 0.001 (0.001)	Loss 2.8161 (2.8176)	Prec@1 37.500 (33.303)	Prec@5 68.750 (63.407)
Epoch: [7][8060/14090]	Time 0.742 (0.749)	Data 0.001 (0.001)	Loss 3.0182 (2.8176)	Prec@1 28.906 (33.303)	Prec@5 57.812 (63.408)
Epoch: [7][8070/14090]	Time 0.768 (0.749)	Data 0.001 (0.001)	Loss 2.5189 (2.8175)	Prec@1 37.500 (33.301)	Prec@5 68.750 (63.408)
Epoch: [7][8080/14090]	Time 0.745 (0.749)	Data 0.001 (0.001)	Loss 2.9226 (2.8176)	Prec@1 28.125 (33.298)	Prec@5 60.938 (63.407)
Epoch: [7][8090/14090]	Time 0.733 (0.749)	Data 0.001 (0.001)	Loss 3.1377 (2.8176)	Prec@1 26.562 (33.297)	Prec@5 57.812 (63.406)
Epoch: [7][8100/14090]	Time 0.753 (0.749)	Data 0.002 (0.001)	Loss 2.6268 (2.8176)	Prec@1 39.062 (33.298)	Prec@5 69.531 (63.407)
Epoch: [7][8110/14090]	Time 0.733 (0.749)	Data 0.001 (0.001)	Loss 3.4030 (2.8176)	Prec@1 24.219 (33.297)	Prec@5 53.125 (63.407)
Epoch: [7][8120/14090]	Time 0.728 (0.749)	Data 0.001 (0.001)	Loss 2.6298 (2.8176)	Prec@1 33.594 (33.297)	Prec@5 66.406 (63.406)
Epoch: [7][8130/14090]	Time 0.727 (0.749)	Data 0.001 (0.001)	Loss 2.6119 (2.8175)	Prec@1 35.938 (33.297)	Prec@5 70.312 (63.411)
Epoch: [7][8140/14090]	Time 0.749 (0.749)	Data 0.001 (0.001)	Loss 2.6889 (2.8175)	Prec@1 36.719 (33.295)	Prec@5 66.406 (63.411)
Epoch: [7][8150/14090]	Time 0.733 (0.749)	Data 0.001 (0.001)	Loss 2.7708 (2.8175)	Prec@1 38.281 (33.296)	Prec@5 67.969 (63.411)
Epoch: [7][8160/14090]	Time 0.770 (0.749)	Data 0.001 (0.001)	Loss 2.7667 (2.8175)	Prec@1 35.938 (33.296)	Prec@5 64.062 (63.410)
Epoch: [7][8170/14090]	Time 0.746 (0.749)	Data 0.002 (0.001)	Loss 2.8766 (2.8174)	Prec@1 35.156 (33.296)	Prec@5 65.625 (63.410)
Epoch: [7][8180/14090]	Time 0.757 (0.749)	Data 0.001 (0.001)	Loss 2.7499 (2.8175)	Prec@1 36.719 (33.296)	Prec@5 65.625 (63.409)
Epoch: [7][8190/14090]	Time 0.752 (0.749)	Data 0.001 (0.001)	Loss 2.7831 (2.8175)	Prec@1 35.156 (33.295)	Prec@5 59.375 (63.407)
Epoch: [7][8200/14090]	Time 0.740 (0.749)	Data 0.001 (0.001)	Loss 3.0463 (2.8175)	Prec@1 29.688 (33.295)	Prec@5 58.594 (63.407)
Epoch: [7][8210/14090]	Time 0.733 (0.749)	Data 0.001 (0.001)	Loss 2.9003 (2.8174)	Prec@1 33.594 (33.297)	Prec@5 60.938 (63.408)
Epoch: [7][8220/14090]	Time 0.757 (0.749)	Data 0.001 (0.001)	Loss 2.8830 (2.8173)	Prec@1 30.469 (33.297)	Prec@5 61.719 (63.409)
Epoch: [7][8230/14090]	Time 0.767 (0.749)	Data 0.001 (0.001)	Loss 2.8120 (2.8173)	Prec@1 36.719 (33.298)	Prec@5 64.062 (63.409)
Epoch: [7][8240/14090]	Time 0.748 (0.749)	Data 0.002 (0.001)	Loss 2.8414 (2.8174)	Prec@1 28.125 (33.295)	Prec@5 60.938 (63.408)
Epoch: [7][8250/14090]	Time 0.764 (0.749)	Data 0.001 (0.001)	Loss 2.6667 (2.8176)	Prec@1 35.938 (33.293)	Prec@5 67.188 (63.404)
Epoch: [7][8260/14090]	Time 0.761 (0.749)	Data 0.001 (0.001)	Loss 2.7843 (2.8177)	Prec@1 35.156 (33.290)	Prec@5 61.719 (63.401)
Epoch: [7][8270/14090]	Time 0.747 (0.749)	Data 0.001 (0.001)	Loss 2.8539 (2.8177)	Prec@1 29.688 (33.288)	Prec@5 64.062 (63.400)
Epoch: [7][8280/14090]	Time 0.732 (0.749)	Data 0.001 (0.001)	Loss 2.7111 (2.8176)	Prec@1 36.719 (33.289)	Prec@5 67.188 (63.400)
Epoch: [7][8290/14090]	Time 0.736 (0.749)	Data 0.001 (0.001)	Loss 2.4821 (2.8175)	Prec@1 38.281 (33.290)	Prec@5 70.312 (63.403)
Epoch: [7][8300/14090]	Time 0.770 (0.749)	Data 0.001 (0.001)	Loss 2.7260 (2.8175)	Prec@1 37.500 (33.292)	Prec@5 64.062 (63.404)
Epoch: [7][8310/14090]	Time 0.754 (0.749)	Data 0.002 (0.001)	Loss 2.7543 (2.8176)	Prec@1 35.938 (33.288)	Prec@5 65.625 (63.403)
Epoch: [7][8320/14090]	Time 0.726 (0.749)	Data 0.001 (0.001)	Loss 2.5536 (2.8177)	Prec@1 35.938 (33.288)	Prec@5 68.750 (63.400)
Epoch: [7][8330/14090]	Time 0.752 (0.749)	Data 0.001 (0.001)	Loss 2.5220 (2.8177)	Prec@1 28.906 (33.284)	Prec@5 69.531 (63.398)
Epoch: [7][8340/14090]	Time 0.735 (0.749)	Data 0.001 (0.001)	Loss 2.9581 (2.8178)	Prec@1 34.375 (33.283)	Prec@5 59.375 (63.396)
Epoch: [7][8350/14090]	Time 0.747 (0.749)	Data 0.001 (0.001)	Loss 2.6773 (2.8179)	Prec@1 34.375 (33.280)	Prec@5 63.281 (63.395)
Epoch: [7][8360/14090]	Time 0.748 (0.749)	Data 0.001 (0.001)	Loss 2.7083 (2.8179)	Prec@1 30.469 (33.279)	Prec@5 62.500 (63.395)
Epoch: [7][8370/14090]	Time 0.750 (0.749)	Data 0.001 (0.001)	Loss 2.6269 (2.8179)	Prec@1 41.406 (33.281)	Prec@5 67.969 (63.396)
Epoch: [7][8380/14090]	Time 0.740 (0.749)	Data 0.002 (0.001)	Loss 2.8073 (2.8179)	Prec@1 32.031 (33.280)	Prec@5 66.406 (63.397)
Epoch: [7][8390/14090]	Time 0.758 (0.749)	Data 0.001 (0.001)	Loss 2.8127 (2.8178)	Prec@1 30.469 (33.281)	Prec@5 62.500 (63.397)
Epoch: [7][8400/14090]	Time 0.744 (0.749)	Data 0.001 (0.001)	Loss 2.5185 (2.8178)	Prec@1 41.406 (33.282)	Prec@5 67.969 (63.398)
Epoch: [7][8410/14090]	Time 0.739 (0.749)	Data 0.001 (0.001)	Loss 2.7551 (2.8177)	Prec@1 31.250 (33.284)	Prec@5 67.969 (63.399)
Epoch: [7][8420/14090]	Time 0.748 (0.749)	Data 0.002 (0.001)	Loss 2.8131 (2.8178)	Prec@1 32.031 (33.283)	Prec@5 66.406 (63.397)
Epoch: [7][8430/14090]	Time 0.739 (0.749)	Data 0.001 (0.001)	Loss 2.9240 (2.8179)	Prec@1 30.469 (33.281)	Prec@5 65.625 (63.397)
Epoch: [7][8440/14090]	Time 0.725 (0.749)	Data 0.001 (0.001)	Loss 2.8374 (2.8178)	Prec@1 33.594 (33.281)	Prec@5 64.062 (63.397)
Epoch: [7][8450/14090]	Time 0.733 (0.749)	Data 0.002 (0.001)	Loss 2.9404 (2.8177)	Prec@1 34.375 (33.282)	Prec@5 63.281 (63.398)
Epoch: [7][8460/14090]	Time 0.760 (0.749)	Data 0.001 (0.001)	Loss 3.1303 (2.8177)	Prec@1 19.531 (33.283)	Prec@5 55.469 (63.398)
Epoch: [7][8470/14090]	Time 0.737 (0.749)	Data 0.001 (0.001)	Loss 2.8483 (2.8177)	Prec@1 36.719 (33.284)	Prec@5 64.844 (63.399)
Epoch: [7][8480/14090]	Time 0.765 (0.749)	Data 0.001 (0.001)	Loss 2.7847 (2.8177)	Prec@1 35.156 (33.283)	Prec@5 60.938 (63.396)
Epoch: [7][8490/14090]	Time 0.746 (0.749)	Data 0.001 (0.001)	Loss 2.9217 (2.8176)	Prec@1 36.719 (33.285)	Prec@5 60.156 (63.397)
Epoch: [7][8500/14090]	Time 0.743 (0.749)	Data 0.001 (0.001)	Loss 2.9976 (2.8176)	Prec@1 31.250 (33.287)	Prec@5 58.594 (63.397)
Epoch: [7][8510/14090]	Time 0.761 (0.749)	Data 0.001 (0.001)	Loss 3.1184 (2.8176)	Prec@1 23.438 (33.285)	Prec@5 54.688 (63.398)
Epoch: [7][8520/14090]	Time 0.743 (0.749)	Data 0.002 (0.001)	Loss 2.7576 (2.8177)	Prec@1 35.938 (33.283)	Prec@5 62.500 (63.395)
Epoch: [7][8530/14090]	Time 0.750 (0.749)	Data 0.001 (0.001)	Loss 2.6316 (2.8177)	Prec@1 38.281 (33.283)	Prec@5 68.750 (63.396)
Epoch: [7][8540/14090]	Time 0.726 (0.749)	Data 0.001 (0.001)	Loss 2.7227 (2.8177)	Prec@1 32.812 (33.283)	Prec@5 60.938 (63.395)
Epoch: [7][8550/14090]	Time 0.753 (0.749)	Data 0.001 (0.001)	Loss 2.6911 (2.8177)	Prec@1 37.500 (33.284)	Prec@5 62.500 (63.396)
Epoch: [7][8560/14090]	Time 0.749 (0.749)	Data 0.001 (0.001)	Loss 2.7399 (2.8178)	Prec@1 32.031 (33.284)	Prec@5 67.188 (63.393)
Epoch: [7][8570/14090]	Time 0.743 (0.749)	Data 0.001 (0.001)	Loss 2.6990 (2.8177)	Prec@1 37.500 (33.286)	Prec@5 67.188 (63.397)
Epoch: [7][8580/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 2.9689 (2.8177)	Prec@1 32.031 (33.285)	Prec@5 55.469 (63.395)
Epoch: [7][8590/14090]	Time 0.749 (0.749)	Data 0.002 (0.001)	Loss 2.8863 (2.8178)	Prec@1 31.250 (33.283)	Prec@5 58.594 (63.393)
Epoch: [7][8600/14090]	Time 0.734 (0.749)	Data 0.001 (0.001)	Loss 2.9890 (2.8177)	Prec@1 32.031 (33.284)	Prec@5 58.594 (63.394)
Epoch: [7][8610/14090]	Time 0.752 (0.749)	Data 0.001 (0.001)	Loss 2.8614 (2.8176)	Prec@1 28.125 (33.284)	Prec@5 61.719 (63.395)
Epoch: [7][8620/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 2.9503 (2.8175)	Prec@1 28.906 (33.283)	Prec@5 59.375 (63.397)
Epoch: [7][8630/14090]	Time 0.740 (0.749)	Data 0.001 (0.001)	Loss 2.5048 (2.8175)	Prec@1 39.844 (33.282)	Prec@5 69.531 (63.397)
Epoch: [7][8640/14090]	Time 0.759 (0.749)	Data 0.001 (0.001)	Loss 3.0199 (2.8175)	Prec@1 32.031 (33.283)	Prec@5 65.625 (63.398)
Epoch: [7][8650/14090]	Time 0.728 (0.749)	Data 0.001 (0.001)	Loss 2.7972 (2.8174)	Prec@1 36.719 (33.285)	Prec@5 64.844 (63.400)
Epoch: [7][8660/14090]	Time 0.750 (0.749)	Data 0.003 (0.001)	Loss 2.9479 (2.8175)	Prec@1 35.156 (33.285)	Prec@5 63.281 (63.399)
Epoch: [7][8670/14090]	Time 0.748 (0.749)	Data 0.001 (0.001)	Loss 2.7822 (2.8175)	Prec@1 25.781 (33.286)	Prec@5 63.281 (63.399)
Epoch: [7][8680/14090]	Time 0.754 (0.749)	Data 0.001 (0.001)	Loss 2.6356 (2.8175)	Prec@1 35.938 (33.286)	Prec@5 64.844 (63.400)
Epoch: [7][8690/14090]	Time 0.739 (0.749)	Data 0.001 (0.001)	Loss 2.5006 (2.8175)	Prec@1 42.969 (33.286)	Prec@5 67.188 (63.399)
Epoch: [7][8700/14090]	Time 0.750 (0.749)	Data 0.001 (0.001)	Loss 2.7815 (2.8175)	Prec@1 30.469 (33.288)	Prec@5 65.625 (63.399)
Epoch: [7][8710/14090]	Time 0.757 (0.749)	Data 0.001 (0.001)	Loss 3.0072 (2.8175)	Prec@1 30.469 (33.288)	Prec@5 60.938 (63.398)
Epoch: [7][8720/14090]	Time 0.745 (0.749)	Data 0.001 (0.001)	Loss 2.7793 (2.8176)	Prec@1 32.031 (33.286)	Prec@5 59.375 (63.397)
Epoch: [7][8730/14090]	Time 0.756 (0.749)	Data 0.002 (0.001)	Loss 2.8183 (2.8176)	Prec@1 32.031 (33.286)	Prec@5 62.500 (63.398)
Epoch: [7][8740/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 2.9104 (2.8177)	Prec@1 25.000 (33.286)	Prec@5 63.281 (63.396)
Epoch: [7][8750/14090]	Time 0.750 (0.749)	Data 0.001 (0.001)	Loss 3.0486 (2.8178)	Prec@1 33.594 (33.285)	Prec@5 58.594 (63.394)
Epoch: [7][8760/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 3.0064 (2.8179)	Prec@1 22.656 (33.283)	Prec@5 60.938 (63.392)
Epoch: [7][8770/14090]	Time 0.732 (0.749)	Data 0.001 (0.001)	Loss 2.8673 (2.8180)	Prec@1 31.250 (33.281)	Prec@5 64.062 (63.389)
Epoch: [7][8780/14090]	Time 0.750 (0.749)	Data 0.001 (0.001)	Loss 2.8652 (2.8181)	Prec@1 31.250 (33.278)	Prec@5 58.594 (63.387)
Epoch: [7][8790/14090]	Time 0.762 (0.749)	Data 0.001 (0.001)	Loss 2.8966 (2.8182)	Prec@1 35.156 (33.278)	Prec@5 65.625 (63.386)
Epoch: [7][8800/14090]	Time 0.755 (0.749)	Data 0.002 (0.001)	Loss 2.9368 (2.8182)	Prec@1 32.031 (33.277)	Prec@5 60.156 (63.385)
Epoch: [7][8810/14090]	Time 0.732 (0.749)	Data 0.001 (0.001)	Loss 2.7331 (2.8183)	Prec@1 32.031 (33.274)	Prec@5 63.281 (63.384)
Epoch: [7][8820/14090]	Time 0.758 (0.749)	Data 0.001 (0.001)	Loss 2.8193 (2.8182)	Prec@1 33.594 (33.274)	Prec@5 59.375 (63.386)
Epoch: [7][8830/14090]	Time 0.742 (0.749)	Data 0.001 (0.001)	Loss 2.6364 (2.8181)	Prec@1 39.062 (33.274)	Prec@5 64.844 (63.387)
Epoch: [7][8840/14090]	Time 0.731 (0.749)	Data 0.001 (0.001)	Loss 2.4575 (2.8181)	Prec@1 33.594 (33.275)	Prec@5 69.531 (63.388)
Epoch: [7][8850/14090]	Time 0.769 (0.749)	Data 0.001 (0.001)	Loss 2.6647 (2.8181)	Prec@1 35.938 (33.276)	Prec@5 66.406 (63.390)
Epoch: [7][8860/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 2.6639 (2.8181)	Prec@1 39.062 (33.278)	Prec@5 63.281 (63.391)
Epoch: [7][8870/14090]	Time 0.784 (0.749)	Data 0.002 (0.001)	Loss 2.7614 (2.8181)	Prec@1 30.469 (33.276)	Prec@5 61.719 (63.389)
Epoch: [7][8880/14090]	Time 0.753 (0.749)	Data 0.001 (0.001)	Loss 2.8050 (2.8181)	Prec@1 32.812 (33.278)	Prec@5 62.500 (63.389)
Epoch: [7][8890/14090]	Time 0.740 (0.749)	Data 0.001 (0.001)	Loss 2.5961 (2.8181)	Prec@1 39.844 (33.278)	Prec@5 66.406 (63.390)
Epoch: [7][8900/14090]	Time 0.757 (0.749)	Data 0.001 (0.001)	Loss 2.8977 (2.8180)	Prec@1 28.125 (33.279)	Prec@5 60.156 (63.391)
Epoch: [7][8910/14090]	Time 0.791 (0.749)	Data 0.001 (0.001)	Loss 2.5495 (2.8180)	Prec@1 37.500 (33.279)	Prec@5 68.750 (63.391)
Epoch: [7][8920/14090]	Time 0.759 (0.749)	Data 0.001 (0.001)	Loss 2.8584 (2.8181)	Prec@1 29.688 (33.277)	Prec@5 57.812 (63.388)
Epoch: [7][8930/14090]	Time 0.767 (0.749)	Data 0.001 (0.001)	Loss 2.6773 (2.8181)	Prec@1 32.812 (33.279)	Prec@5 68.750 (63.389)
Epoch: [7][8940/14090]	Time 0.761 (0.749)	Data 0.002 (0.001)	Loss 2.9753 (2.8181)	Prec@1 37.500 (33.280)	Prec@5 58.594 (63.387)
Epoch: [7][8950/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 2.9529 (2.8182)	Prec@1 29.688 (33.279)	Prec@5 62.500 (63.385)
Epoch: [7][8960/14090]	Time 0.756 (0.749)	Data 0.001 (0.001)	Loss 2.8378 (2.8181)	Prec@1 28.125 (33.280)	Prec@5 63.281 (63.386)
Epoch: [7][8970/14090]	Time 0.749 (0.749)	Data 0.001 (0.001)	Loss 2.9396 (2.8180)	Prec@1 28.125 (33.283)	Prec@5 64.844 (63.389)
Epoch: [7][8980/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 3.0529 (2.8179)	Prec@1 32.812 (33.285)	Prec@5 58.594 (63.391)
Epoch: [7][8990/14090]	Time 0.748 (0.749)	Data 0.001 (0.001)	Loss 2.6921 (2.8180)	Prec@1 36.719 (33.285)	Prec@5 71.875 (63.390)
Epoch: [7][9000/14090]	Time 0.734 (0.749)	Data 0.001 (0.001)	Loss 2.7944 (2.8179)	Prec@1 34.375 (33.286)	Prec@5 64.844 (63.392)
Epoch: [7][9010/14090]	Time 0.744 (0.749)	Data 0.005 (0.001)	Loss 2.7701 (2.8178)	Prec@1 31.250 (33.286)	Prec@5 61.719 (63.393)
Epoch: [7][9020/14090]	Time 0.747 (0.749)	Data 0.001 (0.001)	Loss 2.7812 (2.8178)	Prec@1 26.562 (33.284)	Prec@5 67.969 (63.394)
Epoch: [7][9030/14090]	Time 0.748 (0.749)	Data 0.001 (0.001)	Loss 3.0432 (2.8178)	Prec@1 28.906 (33.284)	Prec@5 58.594 (63.394)
Epoch: [7][9040/14090]	Time 0.747 (0.749)	Data 0.001 (0.001)	Loss 2.6692 (2.8177)	Prec@1 32.812 (33.284)	Prec@5 65.625 (63.396)
Epoch: [7][9050/14090]	Time 0.748 (0.749)	Data 0.001 (0.001)	Loss 3.2566 (2.8177)	Prec@1 28.125 (33.285)	Prec@5 53.906 (63.396)
Epoch: [7][9060/14090]	Time 0.764 (0.749)	Data 0.001 (0.001)	Loss 2.6910 (2.8177)	Prec@1 32.812 (33.283)	Prec@5 67.188 (63.397)
Epoch: [7][9070/14090]	Time 0.745 (0.749)	Data 0.001 (0.001)	Loss 2.7655 (2.8177)	Prec@1 35.938 (33.284)	Prec@5 67.188 (63.399)
Epoch: [7][9080/14090]	Time 0.746 (0.749)	Data 0.002 (0.001)	Loss 2.7773 (2.8177)	Prec@1 34.375 (33.285)	Prec@5 64.844 (63.400)
Epoch: [7][9090/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 2.5481 (2.8177)	Prec@1 41.406 (33.284)	Prec@5 67.969 (63.399)
Epoch: [7][9100/14090]	Time 0.749 (0.749)	Data 0.001 (0.001)	Loss 2.8276 (2.8177)	Prec@1 35.156 (33.286)	Prec@5 62.500 (63.399)
Epoch: [7][9110/14090]	Time 0.750 (0.749)	Data 0.001 (0.001)	Loss 2.7021 (2.8178)	Prec@1 36.719 (33.284)	Prec@5 67.969 (63.397)
Epoch: [7][9120/14090]	Time 0.728 (0.749)	Data 0.001 (0.001)	Loss 2.9110 (2.8178)	Prec@1 33.594 (33.284)	Prec@5 67.188 (63.398)
Epoch: [7][9130/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 3.0484 (2.8177)	Prec@1 31.250 (33.286)	Prec@5 54.688 (63.399)
Epoch: [7][9140/14090]	Time 0.728 (0.749)	Data 0.001 (0.001)	Loss 2.8138 (2.8178)	Prec@1 39.062 (33.286)	Prec@5 64.062 (63.399)
Epoch: [7][9150/14090]	Time 0.733 (0.749)	Data 0.002 (0.001)	Loss 2.7858 (2.8178)	Prec@1 36.719 (33.285)	Prec@5 66.406 (63.398)
Epoch: [7][9160/14090]	Time 0.733 (0.749)	Data 0.001 (0.001)	Loss 2.8613 (2.8178)	Prec@1 29.688 (33.285)	Prec@5 63.281 (63.399)
Epoch: [7][9170/14090]	Time 0.761 (0.749)	Data 0.001 (0.001)	Loss 2.8687 (2.8179)	Prec@1 33.594 (33.281)	Prec@5 60.938 (63.398)
Epoch: [7][9180/14090]	Time 0.764 (0.749)	Data 0.001 (0.001)	Loss 2.8527 (2.8179)	Prec@1 35.938 (33.282)	Prec@5 62.500 (63.398)
Epoch: [7][9190/14090]	Time 0.734 (0.749)	Data 0.001 (0.001)	Loss 2.4187 (2.8179)	Prec@1 43.750 (33.282)	Prec@5 71.094 (63.400)
Epoch: [7][9200/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 2.9800 (2.8179)	Prec@1 28.906 (33.280)	Prec@5 60.156 (63.398)
Epoch: [7][9210/14090]	Time 0.746 (0.749)	Data 0.001 (0.001)	Loss 2.7115 (2.8179)	Prec@1 35.156 (33.281)	Prec@5 64.844 (63.400)
Epoch: [7][9220/14090]	Time 0.727 (0.749)	Data 0.002 (0.001)	Loss 2.6684 (2.8178)	Prec@1 34.375 (33.283)	Prec@5 66.406 (63.403)
Epoch: [7][9230/14090]	Time 0.752 (0.749)	Data 0.001 (0.001)	Loss 2.5367 (2.8178)	Prec@1 35.938 (33.283)	Prec@5 68.750 (63.404)
Epoch: [7][9240/14090]	Time 0.732 (0.749)	Data 0.001 (0.001)	Loss 2.7929 (2.8177)	Prec@1 35.156 (33.286)	Prec@5 64.062 (63.406)
Epoch: [7][9250/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 2.9745 (2.8177)	Prec@1 28.125 (33.285)	Prec@5 58.594 (63.405)
Epoch: [7][9260/14090]	Time 0.727 (0.749)	Data 0.001 (0.001)	Loss 2.6087 (2.8176)	Prec@1 40.625 (33.286)	Prec@5 65.625 (63.406)
Epoch: [7][9270/14090]	Time 0.778 (0.749)	Data 0.001 (0.001)	Loss 2.8752 (2.8176)	Prec@1 31.250 (33.288)	Prec@5 63.281 (63.405)
Epoch: [7][9280/14090]	Time 0.742 (0.749)	Data 0.001 (0.001)	Loss 2.8581 (2.8176)	Prec@1 29.688 (33.287)	Prec@5 63.281 (63.405)
Epoch: [7][9290/14090]	Time 0.753 (0.749)	Data 0.002 (0.001)	Loss 2.9350 (2.8177)	Prec@1 33.594 (33.286)	Prec@5 57.812 (63.404)
Epoch: [7][9300/14090]	Time 0.746 (0.749)	Data 0.001 (0.001)	Loss 2.9022 (2.8176)	Prec@1 33.594 (33.287)	Prec@5 60.938 (63.403)
Epoch: [7][9310/14090]	Time 0.741 (0.749)	Data 0.001 (0.001)	Loss 3.0063 (2.8177)	Prec@1 34.375 (33.286)	Prec@5 53.125 (63.403)
Epoch: [7][9320/14090]	Time 0.758 (0.749)	Data 0.001 (0.001)	Loss 2.7044 (2.8177)	Prec@1 33.594 (33.287)	Prec@5 63.281 (63.404)
Epoch: [7][9330/14090]	Time 0.750 (0.749)	Data 0.001 (0.001)	Loss 2.7767 (2.8176)	Prec@1 35.156 (33.288)	Prec@5 65.625 (63.405)
Epoch: [7][9340/14090]	Time 0.750 (0.749)	Data 0.001 (0.001)	Loss 2.8658 (2.8176)	Prec@1 35.938 (33.290)	Prec@5 59.375 (63.405)
Epoch: [7][9350/14090]	Time 0.730 (0.749)	Data 0.001 (0.001)	Loss 2.8530 (2.8177)	Prec@1 30.469 (33.289)	Prec@5 62.500 (63.405)
Epoch: [7][9360/14090]	Time 0.759 (0.749)	Data 0.002 (0.001)	Loss 3.2000 (2.8177)	Prec@1 21.094 (33.289)	Prec@5 52.344 (63.406)
Epoch: [7][9370/14090]	Time 0.739 (0.749)	Data 0.003 (0.001)	Loss 3.0096 (2.8177)	Prec@1 33.594 (33.289)	Prec@5 54.688 (63.405)
Epoch: [7][9380/14090]	Time 0.734 (0.749)	Data 0.001 (0.001)	Loss 2.9009 (2.8178)	Prec@1 29.688 (33.289)	Prec@5 59.375 (63.402)
Epoch: [7][9390/14090]	Time 0.747 (0.749)	Data 0.001 (0.001)	Loss 2.9888 (2.8178)	Prec@1 27.344 (33.287)	Prec@5 56.250 (63.400)
Epoch: [7][9400/14090]	Time 0.730 (0.749)	Data 0.001 (0.001)	Loss 2.6791 (2.8178)	Prec@1 35.938 (33.287)	Prec@5 64.844 (63.400)
Epoch: [7][9410/14090]	Time 0.752 (0.749)	Data 0.001 (0.001)	Loss 2.6863 (2.8178)	Prec@1 39.062 (33.287)	Prec@5 65.625 (63.399)
Epoch: [7][9420/14090]	Time 0.748 (0.749)	Data 0.001 (0.001)	Loss 2.6852 (2.8178)	Prec@1 32.812 (33.287)	Prec@5 68.750 (63.401)
Epoch: [7][9430/14090]	Time 0.768 (0.749)	Data 0.002 (0.001)	Loss 2.7128 (2.8178)	Prec@1 37.500 (33.286)	Prec@5 63.281 (63.402)
Epoch: [7][9440/14090]	Time 0.731 (0.749)	Data 0.001 (0.001)	Loss 2.4226 (2.8178)	Prec@1 35.938 (33.285)	Prec@5 73.438 (63.403)
Epoch: [7][9450/14090]	Time 0.753 (0.749)	Data 0.001 (0.001)	Loss 2.8716 (2.8178)	Prec@1 37.500 (33.286)	Prec@5 60.156 (63.401)
Epoch: [7][9460/14090]	Time 0.731 (0.749)	Data 0.001 (0.001)	Loss 2.9444 (2.8178)	Prec@1 26.562 (33.284)	Prec@5 61.719 (63.399)
Epoch: [7][9470/14090]	Time 0.747 (0.749)	Data 0.002 (0.001)	Loss 2.6532 (2.8178)	Prec@1 35.938 (33.284)	Prec@5 64.844 (63.401)
Epoch: [7][9480/14090]	Time 0.754 (0.749)	Data 0.001 (0.001)	Loss 3.3553 (2.8179)	Prec@1 24.219 (33.282)	Prec@5 53.125 (63.397)
Epoch: [7][9490/14090]	Time 0.725 (0.749)	Data 0.001 (0.001)	Loss 2.8100 (2.8179)	Prec@1 36.719 (33.282)	Prec@5 66.406 (63.398)
Epoch: [7][9500/14090]	Time 0.762 (0.749)	Data 0.001 (0.001)	Loss 3.0485 (2.8179)	Prec@1 32.031 (33.282)	Prec@5 57.812 (63.397)
Epoch: [7][9510/14090]	Time 0.773 (0.749)	Data 0.001 (0.001)	Loss 2.6147 (2.8179)	Prec@1 38.281 (33.283)	Prec@5 65.625 (63.397)
Epoch: [7][9520/14090]	Time 0.753 (0.749)	Data 0.001 (0.001)	Loss 2.5541 (2.8180)	Prec@1 35.156 (33.279)	Prec@5 67.969 (63.395)
Epoch: [7][9530/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 2.7176 (2.8180)	Prec@1 32.812 (33.280)	Prec@5 65.625 (63.394)
Epoch: [7][9540/14090]	Time 0.761 (0.749)	Data 0.001 (0.001)	Loss 2.9212 (2.8180)	Prec@1 32.031 (33.278)	Prec@5 58.594 (63.395)
Epoch: [7][9550/14090]	Time 0.734 (0.749)	Data 0.001 (0.001)	Loss 2.9361 (2.8180)	Prec@1 39.062 (33.279)	Prec@5 62.500 (63.396)
Epoch: [7][9560/14090]	Time 0.766 (0.749)	Data 0.001 (0.001)	Loss 2.9620 (2.8180)	Prec@1 34.375 (33.278)	Prec@5 59.375 (63.396)
Epoch: [7][9570/14090]	Time 0.755 (0.749)	Data 0.002 (0.001)	Loss 2.5808 (2.8180)	Prec@1 33.594 (33.277)	Prec@5 67.188 (63.394)
Epoch: [7][9580/14090]	Time 0.767 (0.749)	Data 0.001 (0.001)	Loss 2.6780 (2.8180)	Prec@1 34.375 (33.275)	Prec@5 65.625 (63.395)
Epoch: [7][9590/14090]	Time 0.757 (0.749)	Data 0.001 (0.001)	Loss 2.6440 (2.8179)	Prec@1 34.375 (33.275)	Prec@5 64.844 (63.397)
Epoch: [7][9600/14090]	Time 0.733 (0.749)	Data 0.001 (0.001)	Loss 2.7441 (2.8179)	Prec@1 32.031 (33.275)	Prec@5 66.406 (63.397)
Epoch: [7][9610/14090]	Time 0.757 (0.749)	Data 0.001 (0.001)	Loss 2.6927 (2.8178)	Prec@1 32.812 (33.276)	Prec@5 67.969 (63.399)
Epoch: [7][9620/14090]	Time 0.726 (0.749)	Data 0.001 (0.001)	Loss 2.6921 (2.8178)	Prec@1 30.469 (33.275)	Prec@5 64.844 (63.398)
Epoch: [7][9630/14090]	Time 0.755 (0.749)	Data 0.001 (0.001)	Loss 2.7345 (2.8178)	Prec@1 31.250 (33.274)	Prec@5 64.062 (63.398)
Epoch: [7][9640/14090]	Time 0.739 (0.749)	Data 0.002 (0.001)	Loss 2.6334 (2.8178)	Prec@1 31.250 (33.275)	Prec@5 68.750 (63.399)
Epoch: [7][9650/14090]	Time 0.787 (0.749)	Data 0.001 (0.001)	Loss 2.7419 (2.8177)	Prec@1 28.125 (33.276)	Prec@5 67.969 (63.400)
Epoch: [7][9660/14090]	Time 0.735 (0.749)	Data 0.001 (0.001)	Loss 2.7156 (2.8177)	Prec@1 35.938 (33.275)	Prec@5 64.844 (63.400)
Epoch: [7][9670/14090]	Time 0.739 (0.749)	Data 0.001 (0.001)	Loss 2.7660 (2.8177)	Prec@1 32.031 (33.277)	Prec@5 68.750 (63.399)
Epoch: [7][9680/14090]	Time 0.744 (0.749)	Data 0.001 (0.001)	Loss 2.7142 (2.8177)	Prec@1 38.281 (33.278)	Prec@5 64.844 (63.402)
Epoch: [7][9690/14090]	Time 0.737 (0.749)	Data 0.001 (0.001)	Loss 2.9309 (2.8176)	Prec@1 32.812 (33.277)	Prec@5 62.500 (63.403)
Epoch: [7][9700/14090]	Time 0.742 (0.749)	Data 0.001 (0.001)	Loss 2.9424 (2.8176)	Prec@1 29.688 (33.278)	Prec@5 57.031 (63.403)
Epoch: [7][9710/14090]	Time 0.762 (0.749)	Data 0.002 (0.001)	Loss 3.0287 (2.8175)	Prec@1 33.594 (33.280)	Prec@5 59.375 (63.403)
Epoch: [7][9720/14090]	Time 0.756 (0.749)	Data 0.001 (0.001)	Loss 2.8984 (2.8176)	Prec@1 31.250 (33.278)	Prec@5 58.594 (63.402)
Epoch: [7][9730/14090]	Time 0.752 (0.749)	Data 0.001 (0.001)	Loss 2.7646 (2.8176)	Prec@1 36.719 (33.280)	Prec@5 62.500 (63.404)
Epoch: [7][9740/14090]	Time 0.722 (0.749)	Data 0.001 (0.001)	Loss 3.1115 (2.8176)	Prec@1 30.469 (33.278)	Prec@5 53.906 (63.403)
Epoch: [7][9750/14090]	Time 0.725 (0.749)	Data 0.001 (0.001)	Loss 2.9450 (2.8175)	Prec@1 28.906 (33.280)	Prec@5 62.500 (63.404)
Epoch: [7][9760/14090]	Time 0.741 (0.749)	Data 0.001 (0.001)	Loss 2.6383 (2.8174)	Prec@1 40.625 (33.282)	Prec@5 69.531 (63.406)
Epoch: [7][9770/14090]	Time 0.746 (0.749)	Data 0.001 (0.001)	Loss 2.8055 (2.8174)	Prec@1 38.281 (33.283)	Prec@5 64.062 (63.408)
Epoch: [7][9780/14090]	Time 0.752 (0.749)	Data 0.002 (0.001)	Loss 2.8053 (2.8173)	Prec@1 34.375 (33.284)	Prec@5 62.500 (63.409)
Epoch: [7][9790/14090]	Time 0.741 (0.749)	Data 0.001 (0.001)	Loss 2.9120 (2.8173)	Prec@1 36.719 (33.283)	Prec@5 63.281 (63.411)
Epoch: [7][9800/14090]	Time 0.756 (0.749)	Data 0.001 (0.001)	Loss 2.9492 (2.8173)	Prec@1 32.812 (33.283)	Prec@5 59.375 (63.409)
Epoch: [7][9810/14090]	Time 0.737 (0.749)	Data 0.001 (0.001)	Loss 2.5465 (2.8173)	Prec@1 33.594 (33.281)	Prec@5 68.750 (63.407)
Epoch: [7][9820/14090]	Time 0.761 (0.749)	Data 0.001 (0.001)	Loss 3.0942 (2.8174)	Prec@1 27.344 (33.281)	Prec@5 57.031 (63.407)
Epoch: [7][9830/14090]	Time 0.724 (0.749)	Data 0.001 (0.001)	Loss 2.7679 (2.8173)	Prec@1 32.812 (33.282)	Prec@5 64.062 (63.410)
Epoch: [7][9840/14090]	Time 0.790 (0.749)	Data 0.001 (0.001)	Loss 2.6942 (2.8172)	Prec@1 33.594 (33.283)	Prec@5 64.062 (63.410)
Epoch: [7][9850/14090]	Time 0.736 (0.749)	Data 0.002 (0.001)	Loss 3.0754 (2.8173)	Prec@1 35.156 (33.283)	Prec@5 60.938 (63.408)
Epoch: [7][9860/14090]	Time 0.736 (0.749)	Data 0.001 (0.001)	Loss 2.8853 (2.8174)	Prec@1 30.469 (33.282)	Prec@5 60.938 (63.405)
Epoch: [7][9870/14090]	Time 0.747 (0.749)	Data 0.001 (0.001)	Loss 2.9106 (2.8174)	Prec@1 35.156 (33.283)	Prec@5 60.938 (63.405)
Epoch: [7][9880/14090]	Time 0.776 (0.749)	Data 0.001 (0.001)	Loss 2.7128 (2.8173)	Prec@1 36.719 (33.285)	Prec@5 65.625 (63.406)
Epoch: [7][9890/14090]	Time 0.758 (0.749)	Data 0.001 (0.001)	Loss 2.9903 (2.8173)	Prec@1 28.906 (33.285)	Prec@5 60.156 (63.406)
Epoch: [7][9900/14090]	Time 0.755 (0.749)	Data 0.001 (0.001)	Loss 3.0905 (2.8174)	Prec@1 29.688 (33.285)	Prec@5 55.469 (63.405)
Epoch: [7][9910/14090]	Time 0.786 (0.749)	Data 0.001 (0.001)	Loss 2.9180 (2.8173)	Prec@1 31.250 (33.286)	Prec@5 57.031 (63.407)
Epoch: [7][9920/14090]	Time 0.733 (0.749)	Data 0.002 (0.001)	Loss 3.0004 (2.8174)	Prec@1 27.344 (33.283)	Prec@5 58.594 (63.405)
Epoch: [7][9930/14090]	Time 0.768 (0.749)	Data 0.001 (0.001)	Loss 2.8186 (2.8174)	Prec@1 33.594 (33.284)	Prec@5 63.281 (63.406)
Epoch: [7][9940/14090]	Time 0.735 (0.749)	Data 0.001 (0.001)	Loss 2.8222 (2.8174)	Prec@1 31.250 (33.284)	Prec@5 62.500 (63.406)
Epoch: [7][9950/14090]	Time 0.731 (0.749)	Data 0.001 (0.001)	Loss 2.9291 (2.8174)	Prec@1 30.469 (33.283)	Prec@5 57.812 (63.406)
Epoch: [7][9960/14090]	Time 0.768 (0.749)	Data 0.001 (0.001)	Loss 2.9316 (2.8174)	Prec@1 32.812 (33.283)	Prec@5 64.062 (63.404)
Epoch: [7][9970/14090]	Time 0.728 (0.749)	Data 0.001 (0.001)	Loss 2.7360 (2.8173)	Prec@1 36.719 (33.284)	Prec@5 61.719 (63.406)
Epoch: [7][9980/14090]	Time 0.741 (0.749)	Data 0.001 (0.001)	Loss 2.6562 (2.8174)	Prec@1 35.156 (33.284)	Prec@5 67.969 (63.406)
Epoch: [7][9990/14090]	Time 0.736 (0.749)	Data 0.002 (0.001)	Loss 2.7780 (2.8173)	Prec@1 31.250 (33.282)	Prec@5 60.938 (63.407)
Epoch: [7][10000/14090]	Time 0.744 (0.749)	Data 0.001 (0.001)	Loss 2.9323 (2.8172)	Prec@1 31.250 (33.284)	Prec@5 61.719 (63.408)
Epoch: [7][10010/14090]	Time 0.776 (0.749)	Data 0.001 (0.001)	Loss 2.5828 (2.8172)	Prec@1 35.156 (33.283)	Prec@5 67.969 (63.408)
Epoch: [7][10020/14090]	Time 0.761 (0.749)	Data 0.001 (0.001)	Loss 3.0496 (2.8172)	Prec@1 25.781 (33.283)	Prec@5 66.406 (63.409)
Epoch: [7][10030/14090]	Time 0.753 (0.749)	Data 0.001 (0.001)	Loss 2.7045 (2.8172)	Prec@1 27.344 (33.283)	Prec@5 69.531 (63.411)
Epoch: [7][10040/14090]	Time 0.728 (0.749)	Data 0.001 (0.001)	Loss 2.7890 (2.8171)	Prec@1 35.156 (33.283)	Prec@5 64.062 (63.411)
Epoch: [7][10050/14090]	Time 0.763 (0.749)	Data 0.002 (0.001)	Loss 2.7281 (2.8171)	Prec@1 32.812 (33.283)	Prec@5 66.406 (63.412)
Epoch: [7][10060/14090]	Time 0.730 (0.749)	Data 0.002 (0.001)	Loss 2.7157 (2.8172)	Prec@1 32.031 (33.281)	Prec@5 61.719 (63.410)
Epoch: [7][10070/14090]	Time 0.742 (0.749)	Data 0.001 (0.001)	Loss 2.9626 (2.8171)	Prec@1 27.344 (33.282)	Prec@5 63.281 (63.412)
Epoch: [7][10080/14090]	Time 0.760 (0.749)	Data 0.001 (0.001)	Loss 2.4258 (2.8171)	Prec@1 37.500 (33.282)	Prec@5 66.406 (63.411)
Epoch: [7][10090/14090]	Time 0.735 (0.749)	Data 0.001 (0.001)	Loss 2.4935 (2.8171)	Prec@1 37.500 (33.281)	Prec@5 73.438 (63.412)
Epoch: [7][10100/14090]	Time 0.761 (0.749)	Data 0.001 (0.001)	Loss 2.6421 (2.8170)	Prec@1 35.938 (33.284)	Prec@5 65.625 (63.414)
Epoch: [7][10110/14090]	Time 0.758 (0.749)	Data 0.001 (0.001)	Loss 2.8064 (2.8171)	Prec@1 32.812 (33.285)	Prec@5 61.719 (63.413)
Epoch: [7][10120/14090]	Time 0.726 (0.749)	Data 0.001 (0.001)	Loss 3.3208 (2.8172)	Prec@1 25.781 (33.283)	Prec@5 52.344 (63.411)
Epoch: [7][10130/14090]	Time 0.775 (0.749)	Data 0.002 (0.001)	Loss 2.9745 (2.8172)	Prec@1 30.469 (33.280)	Prec@5 57.812 (63.410)
Epoch: [7][10140/14090]	Time 0.732 (0.749)	Data 0.001 (0.001)	Loss 2.8403 (2.8172)	Prec@1 32.031 (33.280)	Prec@5 64.844 (63.411)
Epoch: [7][10150/14090]	Time 0.750 (0.749)	Data 0.001 (0.001)	Loss 2.9539 (2.8171)	Prec@1 25.000 (33.278)	Prec@5 62.500 (63.413)
Epoch: [7][10160/14090]	Time 0.734 (0.749)	Data 0.001 (0.001)	Loss 3.0894 (2.8172)	Prec@1 27.344 (33.277)	Prec@5 61.719 (63.412)
Epoch: [7][10170/14090]	Time 0.727 (0.749)	Data 0.001 (0.001)	Loss 2.8981 (2.8172)	Prec@1 32.812 (33.275)	Prec@5 60.156 (63.412)
Epoch: [7][10180/14090]	Time 0.770 (0.749)	Data 0.001 (0.001)	Loss 3.0905 (2.8172)	Prec@1 34.375 (33.276)	Prec@5 57.812 (63.411)
Epoch: [7][10190/14090]	Time 0.732 (0.749)	Data 0.001 (0.001)	Loss 3.1929 (2.8171)	Prec@1 24.219 (33.276)	Prec@5 57.812 (63.413)
Epoch: [7][10200/14090]	Time 0.729 (0.749)	Data 0.002 (0.001)	Loss 2.7087 (2.8171)	Prec@1 33.594 (33.276)	Prec@5 67.969 (63.416)
Epoch: [7][10210/14090]	Time 0.754 (0.749)	Data 0.001 (0.001)	Loss 2.9610 (2.8171)	Prec@1 31.250 (33.276)	Prec@5 64.844 (63.416)
Epoch: [7][10220/14090]	Time 0.781 (0.749)	Data 0.001 (0.001)	Loss 2.4712 (2.8170)	Prec@1 42.969 (33.277)	Prec@5 69.531 (63.416)
Epoch: [7][10230/14090]	Time 0.772 (0.749)	Data 0.001 (0.001)	Loss 2.7323 (2.8170)	Prec@1 28.906 (33.277)	Prec@5 67.969 (63.416)
Epoch: [7][10240/14090]	Time 0.748 (0.749)	Data 0.001 (0.001)	Loss 3.0883 (2.8171)	Prec@1 30.469 (33.277)	Prec@5 60.938 (63.414)
Epoch: [7][10250/14090]	Time 0.743 (0.749)	Data 0.001 (0.001)	Loss 2.4410 (2.8170)	Prec@1 43.750 (33.277)	Prec@5 65.625 (63.417)
Epoch: [7][10260/14090]	Time 0.732 (0.749)	Data 0.001 (0.001)	Loss 2.9110 (2.8171)	Prec@1 35.938 (33.276)	Prec@5 58.594 (63.414)
Epoch: [7][10270/14090]	Time 0.738 (0.749)	Data 0.002 (0.001)	Loss 2.7941 (2.8171)	Prec@1 35.938 (33.276)	Prec@5 63.281 (63.414)
Epoch: [7][10280/14090]	Time 0.757 (0.749)	Data 0.001 (0.001)	Loss 3.0193 (2.8171)	Prec@1 25.781 (33.275)	Prec@5 55.469 (63.412)
Epoch: [7][10290/14090]	Time 0.749 (0.749)	Data 0.001 (0.001)	Loss 2.7301 (2.8171)	Prec@1 33.594 (33.275)	Prec@5 66.406 (63.415)
Epoch: [7][10300/14090]	Time 0.780 (0.749)	Data 0.001 (0.001)	Loss 2.9546 (2.8171)	Prec@1 28.906 (33.274)	Prec@5 61.719 (63.415)
Epoch: [7][10310/14090]	Time 0.754 (0.749)	Data 0.001 (0.001)	Loss 2.9615 (2.8170)	Prec@1 36.719 (33.276)	Prec@5 61.719 (63.416)
Epoch: [7][10320/14090]	Time 0.736 (0.749)	Data 0.001 (0.001)	Loss 2.6568 (2.8170)	Prec@1 36.719 (33.277)	Prec@5 64.844 (63.417)
Epoch: [7][10330/14090]	Time 0.748 (0.749)	Data 0.001 (0.001)	Loss 2.9390 (2.8170)	Prec@1 33.594 (33.276)	Prec@5 64.062 (63.417)
Epoch: [7][10340/14090]	Time 0.727 (0.749)	Data 0.002 (0.001)	Loss 2.8249 (2.8170)	Prec@1 28.906 (33.276)	Prec@5 60.156 (63.416)
Epoch: [7][10350/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 2.4506 (2.8169)	Prec@1 42.969 (33.278)	Prec@5 67.188 (63.418)
Epoch: [7][10360/14090]	Time 0.741 (0.749)	Data 0.001 (0.001)	Loss 2.7259 (2.8169)	Prec@1 39.844 (33.277)	Prec@5 67.188 (63.420)
Epoch: [7][10370/14090]	Time 0.756 (0.749)	Data 0.001 (0.001)	Loss 3.0207 (2.8169)	Prec@1 25.781 (33.275)	Prec@5 57.812 (63.419)
Epoch: [7][10380/14090]	Time 0.778 (0.749)	Data 0.001 (0.001)	Loss 2.6690 (2.8169)	Prec@1 35.938 (33.275)	Prec@5 66.406 (63.421)
Epoch: [7][10390/14090]	Time 0.755 (0.749)	Data 0.001 (0.001)	Loss 2.7532 (2.8169)	Prec@1 34.375 (33.275)	Prec@5 64.062 (63.420)
Epoch: [7][10400/14090]	Time 0.739 (0.749)	Data 0.001 (0.001)	Loss 2.9146 (2.8169)	Prec@1 25.781 (33.273)	Prec@5 64.062 (63.421)
Epoch: [7][10410/14090]	Time 0.740 (0.749)	Data 0.002 (0.001)	Loss 2.7294 (2.8169)	Prec@1 33.594 (33.274)	Prec@5 64.062 (63.421)
Epoch: [7][10420/14090]	Time 0.747 (0.749)	Data 0.001 (0.001)	Loss 2.6965 (2.8169)	Prec@1 39.844 (33.275)	Prec@5 68.750 (63.422)
Epoch: [7][10430/14090]	Time 0.736 (0.749)	Data 0.001 (0.001)	Loss 2.7924 (2.8170)	Prec@1 25.781 (33.272)	Prec@5 71.875 (63.422)
Epoch: [7][10440/14090]	Time 0.774 (0.749)	Data 0.001 (0.001)	Loss 2.5414 (2.8170)	Prec@1 36.719 (33.271)	Prec@5 67.188 (63.423)
Epoch: [7][10450/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 2.6890 (2.8169)	Prec@1 35.938 (33.273)	Prec@5 68.750 (63.424)
Epoch: [7][10460/14090]	Time 0.756 (0.749)	Data 0.001 (0.001)	Loss 2.7016 (2.8169)	Prec@1 36.719 (33.272)	Prec@5 67.969 (63.423)
Epoch: [7][10470/14090]	Time 0.730 (0.749)	Data 0.001 (0.001)	Loss 2.9544 (2.8169)	Prec@1 35.156 (33.274)	Prec@5 63.281 (63.425)
Epoch: [7][10480/14090]	Time 0.739 (0.749)	Data 0.002 (0.001)	Loss 2.7812 (2.8168)	Prec@1 33.594 (33.274)	Prec@5 60.156 (63.425)
Epoch: [7][10490/14090]	Time 0.740 (0.749)	Data 0.001 (0.001)	Loss 2.4804 (2.8168)	Prec@1 42.188 (33.274)	Prec@5 69.531 (63.425)
Epoch: [7][10500/14090]	Time 0.753 (0.749)	Data 0.001 (0.001)	Loss 2.6358 (2.8168)	Prec@1 36.719 (33.274)	Prec@5 64.844 (63.425)
Epoch: [7][10510/14090]	Time 0.763 (0.749)	Data 0.001 (0.001)	Loss 2.8274 (2.8168)	Prec@1 33.594 (33.273)	Prec@5 62.500 (63.427)
Epoch: [7][10520/14090]	Time 0.724 (0.749)	Data 0.001 (0.001)	Loss 2.9461 (2.8168)	Prec@1 33.594 (33.272)	Prec@5 65.625 (63.427)
Epoch: [7][10530/14090]	Time 0.758 (0.749)	Data 0.001 (0.001)	Loss 2.9377 (2.8169)	Prec@1 31.250 (33.272)	Prec@5 64.844 (63.427)
Epoch: [7][10540/14090]	Time 0.758 (0.749)	Data 0.001 (0.001)	Loss 3.1163 (2.8169)	Prec@1 26.562 (33.272)	Prec@5 58.594 (63.427)
Epoch: [7][10550/14090]	Time 0.751 (0.749)	Data 0.002 (0.001)	Loss 2.7443 (2.8169)	Prec@1 32.031 (33.273)	Prec@5 66.406 (63.428)
Epoch: [7][10560/14090]	Time 0.730 (0.749)	Data 0.001 (0.001)	Loss 2.4817 (2.8168)	Prec@1 39.844 (33.274)	Prec@5 70.312 (63.429)
Epoch: [7][10570/14090]	Time 0.781 (0.749)	Data 0.001 (0.001)	Loss 2.7958 (2.8167)	Prec@1 30.469 (33.273)	Prec@5 67.188 (63.432)
Epoch: [7][10580/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 2.8489 (2.8168)	Prec@1 28.906 (33.272)	Prec@5 57.031 (63.431)
Epoch: [7][10590/14090]	Time 0.728 (0.749)	Data 0.001 (0.001)	Loss 2.7406 (2.8168)	Prec@1 31.250 (33.273)	Prec@5 63.281 (63.431)
Epoch: [7][10600/14090]	Time 0.722 (0.749)	Data 0.001 (0.001)	Loss 2.8368 (2.8167)	Prec@1 27.344 (33.273)	Prec@5 64.844 (63.431)
Epoch: [7][10610/14090]	Time 0.741 (0.749)	Data 0.001 (0.001)	Loss 2.8914 (2.8168)	Prec@1 29.688 (33.271)	Prec@5 64.062 (63.431)
Epoch: [7][10620/14090]	Time 0.758 (0.749)	Data 0.002 (0.001)	Loss 2.7807 (2.8168)	Prec@1 30.469 (33.271)	Prec@5 65.625 (63.430)
Epoch: [7][10630/14090]	Time 0.748 (0.749)	Data 0.001 (0.001)	Loss 2.8475 (2.8169)	Prec@1 36.719 (33.270)	Prec@5 62.500 (63.429)
Epoch: [7][10640/14090]	Time 0.737 (0.749)	Data 0.001 (0.001)	Loss 2.8364 (2.8169)	Prec@1 31.250 (33.270)	Prec@5 64.062 (63.430)
Epoch: [7][10650/14090]	Time 0.741 (0.749)	Data 0.001 (0.001)	Loss 2.7515 (2.8168)	Prec@1 32.031 (33.271)	Prec@5 60.156 (63.431)
Epoch: [7][10660/14090]	Time 0.739 (0.749)	Data 0.001 (0.001)	Loss 2.7429 (2.8168)	Prec@1 31.250 (33.271)	Prec@5 66.406 (63.432)
Epoch: [7][10670/14090]	Time 0.731 (0.749)	Data 0.001 (0.001)	Loss 2.6864 (2.8167)	Prec@1 28.906 (33.271)	Prec@5 63.281 (63.434)
Epoch: [7][10680/14090]	Time 0.760 (0.749)	Data 0.001 (0.001)	Loss 2.7288 (2.8167)	Prec@1 36.719 (33.271)	Prec@5 67.188 (63.435)
Epoch: [7][10690/14090]	Time 0.784 (0.749)	Data 0.002 (0.001)	Loss 2.7063 (2.8166)	Prec@1 35.938 (33.272)	Prec@5 67.969 (63.435)
Epoch: [7][10700/14090]	Time 0.731 (0.749)	Data 0.001 (0.001)	Loss 2.8247 (2.8167)	Prec@1 34.375 (33.273)	Prec@5 65.625 (63.435)
Epoch: [7][10710/14090]	Time 0.749 (0.749)	Data 0.001 (0.001)	Loss 2.7181 (2.8167)	Prec@1 34.375 (33.273)	Prec@5 62.500 (63.434)
Epoch: [7][10720/14090]	Time 0.731 (0.749)	Data 0.001 (0.001)	Loss 2.8821 (2.8167)	Prec@1 33.594 (33.273)	Prec@5 64.062 (63.434)
Epoch: [7][10730/14090]	Time 0.729 (0.749)	Data 0.001 (0.001)	Loss 2.5445 (2.8167)	Prec@1 41.406 (33.273)	Prec@5 70.312 (63.434)
Epoch: [7][10740/14090]	Time 0.729 (0.749)	Data 0.001 (0.001)	Loss 2.5727 (2.8167)	Prec@1 39.844 (33.272)	Prec@5 66.406 (63.432)
Epoch: [7][10750/14090]	Time 0.750 (0.749)	Data 0.001 (0.001)	Loss 2.4693 (2.8167)	Prec@1 43.750 (33.274)	Prec@5 67.188 (63.432)
Epoch: [7][10760/14090]	Time 0.776 (0.749)	Data 0.002 (0.001)	Loss 3.1169 (2.8166)	Prec@1 25.000 (33.275)	Prec@5 60.938 (63.435)
Epoch: [7][10770/14090]	Time 0.735 (0.749)	Data 0.001 (0.001)	Loss 2.7779 (2.8167)	Prec@1 30.469 (33.272)	Prec@5 63.281 (63.432)
Epoch: [7][10780/14090]	Time 0.731 (0.749)	Data 0.001 (0.001)	Loss 3.0206 (2.8167)	Prec@1 32.031 (33.272)	Prec@5 58.594 (63.432)
Epoch: [7][10790/14090]	Time 0.735 (0.749)	Data 0.001 (0.001)	Loss 2.8093 (2.8168)	Prec@1 36.719 (33.273)	Prec@5 64.062 (63.432)
Epoch: [7][10800/14090]	Time 0.719 (0.749)	Data 0.001 (0.001)	Loss 2.9383 (2.8168)	Prec@1 30.469 (33.272)	Prec@5 64.062 (63.429)
Epoch: [7][10810/14090]	Time 0.753 (0.749)	Data 0.001 (0.001)	Loss 3.1225 (2.8168)	Prec@1 29.688 (33.274)	Prec@5 57.031 (63.429)
Epoch: [7][10820/14090]	Time 0.732 (0.749)	Data 0.001 (0.001)	Loss 2.6441 (2.8168)	Prec@1 36.719 (33.275)	Prec@5 64.844 (63.428)
Epoch: [7][10830/14090]	Time 0.723 (0.749)	Data 0.002 (0.001)	Loss 2.7547 (2.8168)	Prec@1 32.031 (33.276)	Prec@5 60.938 (63.426)
Epoch: [7][10840/14090]	Time 0.726 (0.749)	Data 0.001 (0.001)	Loss 3.1590 (2.8167)	Prec@1 30.469 (33.277)	Prec@5 57.812 (63.427)
Epoch: [7][10850/14090]	Time 0.724 (0.749)	Data 0.001 (0.001)	Loss 2.8536 (2.8167)	Prec@1 32.031 (33.277)	Prec@5 62.500 (63.427)
Epoch: [7][10860/14090]	Time 0.731 (0.749)	Data 0.001 (0.001)	Loss 2.8240 (2.8167)	Prec@1 36.719 (33.279)	Prec@5 66.406 (63.427)
Epoch: [7][10870/14090]	Time 0.740 (0.749)	Data 0.001 (0.001)	Loss 2.7347 (2.8166)	Prec@1 31.250 (33.280)	Prec@5 70.312 (63.428)
Epoch: [7][10880/14090]	Time 0.737 (0.749)	Data 0.001 (0.001)	Loss 2.4621 (2.8166)	Prec@1 42.188 (33.280)	Prec@5 71.094 (63.428)
Epoch: [7][10890/14090]	Time 0.729 (0.749)	Data 0.001 (0.001)	Loss 3.1279 (2.8167)	Prec@1 27.344 (33.279)	Prec@5 55.469 (63.426)
Epoch: [7][10900/14090]	Time 0.744 (0.749)	Data 0.002 (0.001)	Loss 3.0951 (2.8168)	Prec@1 28.906 (33.278)	Prec@5 54.688 (63.424)
Epoch: [7][10910/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 3.0757 (2.8168)	Prec@1 25.000 (33.276)	Prec@5 62.500 (63.424)
Epoch: [7][10920/14090]	Time 0.753 (0.749)	Data 0.001 (0.001)	Loss 2.5459 (2.8167)	Prec@1 39.844 (33.277)	Prec@5 67.188 (63.427)
Epoch: [7][10930/14090]	Time 0.758 (0.749)	Data 0.001 (0.001)	Loss 2.5686 (2.8167)	Prec@1 35.156 (33.277)	Prec@5 70.312 (63.427)
Epoch: [7][10940/14090]	Time 0.767 (0.749)	Data 0.001 (0.001)	Loss 2.9397 (2.8168)	Prec@1 29.688 (33.275)	Prec@5 62.500 (63.427)
Epoch: [7][10950/14090]	Time 0.745 (0.749)	Data 0.001 (0.001)	Loss 2.9419 (2.8168)	Prec@1 31.250 (33.276)	Prec@5 59.375 (63.426)
Epoch: [7][10960/14090]	Time 0.722 (0.749)	Data 0.001 (0.001)	Loss 2.7530 (2.8168)	Prec@1 32.812 (33.277)	Prec@5 64.062 (63.427)
Epoch: [7][10970/14090]	Time 0.751 (0.749)	Data 0.002 (0.001)	Loss 2.8550 (2.8168)	Prec@1 35.938 (33.278)	Prec@5 60.938 (63.426)
Epoch: [7][10980/14090]	Time 0.748 (0.749)	Data 0.001 (0.001)	Loss 2.8710 (2.8168)	Prec@1 28.125 (33.278)	Prec@5 64.062 (63.425)
Epoch: [7][10990/14090]	Time 0.755 (0.749)	Data 0.001 (0.001)	Loss 2.7237 (2.8168)	Prec@1 34.375 (33.278)	Prec@5 67.188 (63.424)
Epoch: [7][11000/14090]	Time 0.724 (0.749)	Data 0.001 (0.001)	Loss 3.1103 (2.8169)	Prec@1 27.344 (33.279)	Prec@5 56.250 (63.425)
Epoch: [7][11010/14090]	Time 0.772 (0.749)	Data 0.001 (0.001)	Loss 2.7391 (2.8168)	Prec@1 39.062 (33.281)	Prec@5 64.062 (63.426)
Epoch: [7][11020/14090]	Time 0.729 (0.749)	Data 0.001 (0.001)	Loss 2.7779 (2.8167)	Prec@1 29.688 (33.282)	Prec@5 67.969 (63.429)
Epoch: [7][11030/14090]	Time 0.763 (0.749)	Data 0.001 (0.001)	Loss 2.6489 (2.8167)	Prec@1 34.375 (33.282)	Prec@5 68.750 (63.429)
Epoch: [7][11040/14090]	Time 0.731 (0.749)	Data 0.002 (0.001)	Loss 2.7747 (2.8167)	Prec@1 32.031 (33.283)	Prec@5 64.844 (63.430)
Epoch: [7][11050/14090]	Time 0.750 (0.749)	Data 0.001 (0.001)	Loss 2.5181 (2.8167)	Prec@1 35.156 (33.283)	Prec@5 70.312 (63.430)
Epoch: [7][11060/14090]	Time 0.755 (0.749)	Data 0.001 (0.001)	Loss 2.7135 (2.8168)	Prec@1 34.375 (33.281)	Prec@5 63.281 (63.428)
Epoch: [7][11070/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 2.8524 (2.8168)	Prec@1 32.812 (33.281)	Prec@5 59.375 (63.427)
Epoch: [7][11080/14090]	Time 0.736 (0.749)	Data 0.001 (0.001)	Loss 2.4901 (2.8167)	Prec@1 39.062 (33.281)	Prec@5 67.969 (63.429)
Epoch: [7][11090/14090]	Time 0.725 (0.749)	Data 0.001 (0.001)	Loss 2.7488 (2.8168)	Prec@1 33.594 (33.280)	Prec@5 64.844 (63.428)
Epoch: [7][11100/14090]	Time 0.765 (0.749)	Data 0.001 (0.001)	Loss 2.7387 (2.8168)	Prec@1 40.625 (33.280)	Prec@5 64.062 (63.430)
Epoch: [7][11110/14090]	Time 0.777 (0.749)	Data 0.002 (0.001)	Loss 3.0865 (2.8168)	Prec@1 35.156 (33.279)	Prec@5 60.938 (63.430)
Epoch: [7][11120/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 2.8404 (2.8169)	Prec@1 34.375 (33.278)	Prec@5 62.500 (63.430)
Epoch: [7][11130/14090]	Time 0.743 (0.749)	Data 0.001 (0.001)	Loss 2.8145 (2.8169)	Prec@1 33.594 (33.277)	Prec@5 65.625 (63.431)
Epoch: [7][11140/14090]	Time 0.756 (0.749)	Data 0.001 (0.001)	Loss 2.8339 (2.8169)	Prec@1 31.250 (33.278)	Prec@5 59.375 (63.430)
Epoch: [7][11150/14090]	Time 0.773 (0.749)	Data 0.001 (0.001)	Loss 2.9182 (2.8169)	Prec@1 31.250 (33.279)	Prec@5 57.031 (63.429)
Epoch: [7][11160/14090]	Time 0.744 (0.749)	Data 0.001 (0.001)	Loss 2.8308 (2.8168)	Prec@1 32.812 (33.280)	Prec@5 67.969 (63.431)
Epoch: [7][11170/14090]	Time 0.741 (0.749)	Data 0.001 (0.001)	Loss 3.3254 (2.8168)	Prec@1 27.344 (33.278)	Prec@5 54.688 (63.430)
Epoch: [7][11180/14090]	Time 0.742 (0.749)	Data 0.002 (0.001)	Loss 2.7117 (2.8168)	Prec@1 32.812 (33.279)	Prec@5 65.625 (63.432)
Epoch: [7][11190/14090]	Time 0.733 (0.749)	Data 0.001 (0.001)	Loss 2.9331 (2.8168)	Prec@1 34.375 (33.279)	Prec@5 61.719 (63.432)
Epoch: [7][11200/14090]	Time 0.731 (0.749)	Data 0.001 (0.001)	Loss 2.6119 (2.8168)	Prec@1 35.938 (33.281)	Prec@5 64.062 (63.432)
Epoch: [7][11210/14090]	Time 0.731 (0.749)	Data 0.001 (0.001)	Loss 2.8100 (2.8168)	Prec@1 35.156 (33.280)	Prec@5 64.844 (63.431)
Epoch: [7][11220/14090]	Time 0.754 (0.749)	Data 0.001 (0.001)	Loss 2.5607 (2.8168)	Prec@1 42.969 (33.280)	Prec@5 69.531 (63.431)
Epoch: [7][11230/14090]	Time 0.753 (0.749)	Data 0.001 (0.001)	Loss 2.6359 (2.8167)	Prec@1 33.594 (33.282)	Prec@5 64.844 (63.433)
Epoch: [7][11240/14090]	Time 0.722 (0.749)	Data 0.001 (0.001)	Loss 2.6953 (2.8167)	Prec@1 32.812 (33.281)	Prec@5 67.969 (63.434)
Epoch: [7][11250/14090]	Time 0.725 (0.749)	Data 0.002 (0.001)	Loss 2.7025 (2.8166)	Prec@1 32.031 (33.283)	Prec@5 67.969 (63.435)
Epoch: [7][11260/14090]	Time 0.756 (0.749)	Data 0.001 (0.001)	Loss 2.4741 (2.8165)	Prec@1 37.500 (33.283)	Prec@5 68.750 (63.436)
Epoch: [7][11270/14090]	Time 0.760 (0.749)	Data 0.001 (0.001)	Loss 2.9153 (2.8165)	Prec@1 29.688 (33.283)	Prec@5 60.938 (63.435)
Epoch: [7][11280/14090]	Time 0.726 (0.749)	Data 0.001 (0.001)	Loss 2.8154 (2.8165)	Prec@1 34.375 (33.283)	Prec@5 64.844 (63.437)
Epoch: [7][11290/14090]	Time 0.754 (0.749)	Data 0.001 (0.001)	Loss 2.7814 (2.8164)	Prec@1 34.375 (33.283)	Prec@5 63.281 (63.437)
Epoch: [7][11300/14090]	Time 0.734 (0.749)	Data 0.001 (0.001)	Loss 2.8047 (2.8164)	Prec@1 32.031 (33.284)	Prec@5 61.719 (63.438)
Epoch: [7][11310/14090]	Time 0.733 (0.749)	Data 0.001 (0.001)	Loss 2.9828 (2.8164)	Prec@1 31.250 (33.284)	Prec@5 56.250 (63.438)
Epoch: [7][11320/14090]	Time 0.751 (0.749)	Data 0.002 (0.001)	Loss 2.6978 (2.8164)	Prec@1 35.156 (33.281)	Prec@5 65.625 (63.436)
Epoch: [7][11330/14090]	Time 0.774 (0.749)	Data 0.001 (0.001)	Loss 2.9889 (2.8164)	Prec@1 35.938 (33.282)	Prec@5 57.031 (63.435)
Epoch: [7][11340/14090]	Time 0.756 (0.749)	Data 0.001 (0.001)	Loss 2.9436 (2.8165)	Prec@1 30.469 (33.281)	Prec@5 62.500 (63.435)
Epoch: [7][11350/14090]	Time 0.753 (0.749)	Data 0.001 (0.001)	Loss 2.8468 (2.8165)	Prec@1 32.812 (33.282)	Prec@5 60.156 (63.433)
Epoch: [7][11360/14090]	Time 0.735 (0.749)	Data 0.001 (0.001)	Loss 3.0951 (2.8166)	Prec@1 27.344 (33.279)	Prec@5 58.594 (63.431)
Epoch: [7][11370/14090]	Time 0.760 (0.749)	Data 0.001 (0.001)	Loss 2.4421 (2.8165)	Prec@1 37.500 (33.279)	Prec@5 71.094 (63.433)
Epoch: [7][11380/14090]	Time 0.760 (0.749)	Data 0.001 (0.001)	Loss 2.7069 (2.8166)	Prec@1 32.812 (33.278)	Prec@5 67.188 (63.432)
Epoch: [7][11390/14090]	Time 0.738 (0.749)	Data 0.002 (0.001)	Loss 2.7798 (2.8166)	Prec@1 35.938 (33.279)	Prec@5 60.938 (63.431)
Epoch: [7][11400/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 3.0476 (2.8166)	Prec@1 33.594 (33.280)	Prec@5 56.250 (63.432)
Epoch: [7][11410/14090]	Time 0.759 (0.749)	Data 0.001 (0.001)	Loss 2.7942 (2.8166)	Prec@1 31.250 (33.278)	Prec@5 64.062 (63.431)
Epoch: [7][11420/14090]	Time 0.761 (0.749)	Data 0.001 (0.001)	Loss 2.7073 (2.8166)	Prec@1 37.500 (33.279)	Prec@5 62.500 (63.432)
Epoch: [7][11430/14090]	Time 0.737 (0.749)	Data 0.001 (0.001)	Loss 2.9026 (2.8166)	Prec@1 33.594 (33.279)	Prec@5 57.812 (63.432)
Epoch: [7][11440/14090]	Time 0.747 (0.749)	Data 0.001 (0.001)	Loss 3.0507 (2.8166)	Prec@1 25.781 (33.279)	Prec@5 59.375 (63.432)
Epoch: [7][11450/14090]	Time 0.778 (0.749)	Data 0.001 (0.001)	Loss 2.5695 (2.8166)	Prec@1 32.812 (33.278)	Prec@5 65.625 (63.433)
Epoch: [7][11460/14090]	Time 0.780 (0.749)	Data 0.002 (0.001)	Loss 2.7453 (2.8166)	Prec@1 29.688 (33.277)	Prec@5 65.625 (63.433)
Epoch: [7][11470/14090]	Time 0.732 (0.749)	Data 0.001 (0.001)	Loss 2.6891 (2.8166)	Prec@1 39.062 (33.277)	Prec@5 65.625 (63.432)
Epoch: [7][11480/14090]	Time 0.759 (0.749)	Data 0.001 (0.001)	Loss 3.0167 (2.8167)	Prec@1 32.031 (33.276)	Prec@5 61.719 (63.431)
Epoch: [7][11490/14090]	Time 0.731 (0.749)	Data 0.001 (0.001)	Loss 2.8520 (2.8166)	Prec@1 28.906 (33.277)	Prec@5 66.406 (63.434)
Epoch: [7][11500/14090]	Time 0.756 (0.749)	Data 0.001 (0.001)	Loss 2.7610 (2.8166)	Prec@1 35.156 (33.279)	Prec@5 64.844 (63.433)
Epoch: [7][11510/14090]	Time 0.732 (0.749)	Data 0.001 (0.001)	Loss 2.7875 (2.8166)	Prec@1 33.594 (33.278)	Prec@5 64.062 (63.432)
Epoch: [7][11520/14090]	Time 0.745 (0.749)	Data 0.001 (0.001)	Loss 2.8359 (2.8166)	Prec@1 32.031 (33.278)	Prec@5 57.812 (63.432)
Epoch: [7][11530/14090]	Time 0.726 (0.749)	Data 0.002 (0.001)	Loss 2.6621 (2.8166)	Prec@1 39.062 (33.278)	Prec@5 63.281 (63.432)
Epoch: [7][11540/14090]	Time 0.759 (0.749)	Data 0.001 (0.001)	Loss 2.9008 (2.8166)	Prec@1 32.812 (33.278)	Prec@5 60.938 (63.432)
Epoch: [7][11550/14090]	Time 0.753 (0.749)	Data 0.001 (0.001)	Loss 2.8639 (2.8166)	Prec@1 35.938 (33.277)	Prec@5 63.281 (63.433)
Epoch: [7][11560/14090]	Time 0.748 (0.749)	Data 0.001 (0.001)	Loss 2.8482 (2.8165)	Prec@1 28.906 (33.278)	Prec@5 67.188 (63.434)
Epoch: [7][11570/14090]	Time 0.763 (0.749)	Data 0.001 (0.001)	Loss 2.7900 (2.8165)	Prec@1 41.406 (33.279)	Prec@5 64.062 (63.434)
Epoch: [7][11580/14090]	Time 0.732 (0.749)	Data 0.001 (0.001)	Loss 2.8097 (2.8165)	Prec@1 35.156 (33.280)	Prec@5 63.281 (63.434)
Epoch: [7][11590/14090]	Time 0.747 (0.749)	Data 0.001 (0.001)	Loss 2.8836 (2.8165)	Prec@1 32.812 (33.280)	Prec@5 61.719 (63.434)
Epoch: [7][11600/14090]	Time 0.762 (0.749)	Data 0.002 (0.001)	Loss 2.7794 (2.8166)	Prec@1 36.719 (33.278)	Prec@5 61.719 (63.433)
Epoch: [7][11610/14090]	Time 0.757 (0.749)	Data 0.001 (0.001)	Loss 2.5536 (2.8166)	Prec@1 35.156 (33.277)	Prec@5 67.969 (63.434)
Epoch: [7][11620/14090]	Time 0.761 (0.749)	Data 0.001 (0.001)	Loss 2.8873 (2.8165)	Prec@1 32.812 (33.277)	Prec@5 62.500 (63.433)
Epoch: [7][11630/14090]	Time 0.749 (0.749)	Data 0.001 (0.001)	Loss 2.9606 (2.8165)	Prec@1 33.594 (33.277)	Prec@5 60.156 (63.434)
Epoch: [7][11640/14090]	Time 0.742 (0.749)	Data 0.001 (0.001)	Loss 2.8852 (2.8165)	Prec@1 28.125 (33.276)	Prec@5 57.031 (63.433)
Epoch: [7][11650/14090]	Time 0.768 (0.749)	Data 0.001 (0.001)	Loss 2.7885 (2.8165)	Prec@1 33.594 (33.277)	Prec@5 67.188 (63.434)
Epoch: [7][11660/14090]	Time 0.745 (0.749)	Data 0.001 (0.001)	Loss 2.8306 (2.8165)	Prec@1 32.812 (33.277)	Prec@5 64.844 (63.432)
Epoch: [7][11670/14090]	Time 0.734 (0.749)	Data 0.003 (0.001)	Loss 3.0525 (2.8166)	Prec@1 30.469 (33.276)	Prec@5 53.906 (63.430)
Epoch: [7][11680/14090]	Time 0.737 (0.749)	Data 0.001 (0.001)	Loss 2.7723 (2.8165)	Prec@1 35.938 (33.277)	Prec@5 62.500 (63.430)
Epoch: [7][11690/14090]	Time 0.743 (0.749)	Data 0.001 (0.001)	Loss 2.8814 (2.8165)	Prec@1 32.812 (33.276)	Prec@5 58.594 (63.431)
Epoch: [7][11700/14090]	Time 0.759 (0.749)	Data 0.001 (0.001)	Loss 2.8191 (2.8166)	Prec@1 35.938 (33.274)	Prec@5 66.406 (63.431)
Epoch: [7][11710/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 3.0859 (2.8166)	Prec@1 29.688 (33.274)	Prec@5 57.031 (63.430)
Epoch: [7][11720/14090]	Time 0.755 (0.749)	Data 0.001 (0.001)	Loss 2.6307 (2.8166)	Prec@1 33.594 (33.274)	Prec@5 71.875 (63.430)
Epoch: [7][11730/14090]	Time 0.758 (0.749)	Data 0.001 (0.001)	Loss 2.7958 (2.8166)	Prec@1 31.250 (33.274)	Prec@5 63.281 (63.431)
Epoch: [7][11740/14090]	Time 0.751 (0.749)	Data 0.002 (0.001)	Loss 2.7326 (2.8166)	Prec@1 35.156 (33.274)	Prec@5 64.844 (63.432)
Epoch: [7][11750/14090]	Time 0.752 (0.749)	Data 0.001 (0.001)	Loss 2.6486 (2.8165)	Prec@1 39.062 (33.275)	Prec@5 72.656 (63.434)
Epoch: [7][11760/14090]	Time 0.735 (0.749)	Data 0.001 (0.001)	Loss 2.9378 (2.8165)	Prec@1 26.562 (33.274)	Prec@5 62.500 (63.434)
Epoch: [7][11770/14090]	Time 0.767 (0.749)	Data 0.001 (0.001)	Loss 2.3449 (2.8164)	Prec@1 42.188 (33.275)	Prec@5 74.219 (63.435)
Epoch: [7][11780/14090]	Time 0.760 (0.749)	Data 0.001 (0.001)	Loss 3.3264 (2.8165)	Prec@1 23.438 (33.275)	Prec@5 57.031 (63.434)
Epoch: [7][11790/14090]	Time 0.731 (0.749)	Data 0.001 (0.001)	Loss 3.0496 (2.8166)	Prec@1 32.031 (33.275)	Prec@5 57.812 (63.433)
Epoch: [7][11800/14090]	Time 0.743 (0.749)	Data 0.001 (0.001)	Loss 2.8300 (2.8166)	Prec@1 25.000 (33.275)	Prec@5 64.062 (63.433)
Epoch: [7][11810/14090]	Time 0.733 (0.749)	Data 0.002 (0.001)	Loss 2.8960 (2.8167)	Prec@1 29.688 (33.272)	Prec@5 62.500 (63.429)
Epoch: [7][11820/14090]	Time 0.739 (0.749)	Data 0.001 (0.001)	Loss 2.6572 (2.8166)	Prec@1 40.625 (33.274)	Prec@5 66.406 (63.430)
Epoch: [7][11830/14090]	Time 0.740 (0.749)	Data 0.001 (0.001)	Loss 2.7031 (2.8165)	Prec@1 35.938 (33.277)	Prec@5 63.281 (63.432)
Epoch: [7][11840/14090]	Time 0.729 (0.749)	Data 0.001 (0.001)	Loss 3.0642 (2.8165)	Prec@1 28.125 (33.279)	Prec@5 57.812 (63.433)
Epoch: [7][11850/14090]	Time 0.744 (0.749)	Data 0.001 (0.001)	Loss 2.6225 (2.8164)	Prec@1 35.156 (33.277)	Prec@5 66.406 (63.435)
Epoch: [7][11860/14090]	Time 0.773 (0.749)	Data 0.001 (0.001)	Loss 2.8270 (2.8164)	Prec@1 34.375 (33.277)	Prec@5 61.719 (63.435)
Epoch: [7][11870/14090]	Time 0.755 (0.749)	Data 0.001 (0.001)	Loss 2.6926 (2.8164)	Prec@1 31.250 (33.277)	Prec@5 67.188 (63.436)
Epoch: [7][11880/14090]	Time 0.734 (0.749)	Data 0.002 (0.001)	Loss 2.7223 (2.8163)	Prec@1 33.594 (33.278)	Prec@5 68.750 (63.438)
Epoch: [7][11890/14090]	Time 0.761 (0.749)	Data 0.001 (0.001)	Loss 2.8836 (2.8164)	Prec@1 33.594 (33.276)	Prec@5 60.938 (63.435)
Epoch: [7][11900/14090]	Time 0.750 (0.749)	Data 0.001 (0.001)	Loss 2.8759 (2.8164)	Prec@1 30.469 (33.275)	Prec@5 62.500 (63.435)
Epoch: [7][11910/14090]	Time 0.760 (0.749)	Data 0.001 (0.001)	Loss 2.9035 (2.8164)	Prec@1 32.812 (33.274)	Prec@5 65.625 (63.435)
Epoch: [7][11920/14090]	Time 0.769 (0.749)	Data 0.001 (0.001)	Loss 2.7221 (2.8164)	Prec@1 37.500 (33.276)	Prec@5 66.406 (63.435)
Epoch: [7][11930/14090]	Time 0.741 (0.749)	Data 0.001 (0.001)	Loss 3.1577 (2.8165)	Prec@1 28.125 (33.276)	Prec@5 60.938 (63.435)
Epoch: [7][11940/14090]	Time 0.746 (0.749)	Data 0.001 (0.001)	Loss 2.8480 (2.8165)	Prec@1 37.500 (33.277)	Prec@5 59.375 (63.433)
Epoch: [7][11950/14090]	Time 0.745 (0.749)	Data 0.002 (0.001)	Loss 2.7142 (2.8164)	Prec@1 31.250 (33.279)	Prec@5 69.531 (63.435)
Epoch: [7][11960/14090]	Time 0.731 (0.749)	Data 0.001 (0.001)	Loss 2.8744 (2.8164)	Prec@1 28.906 (33.277)	Prec@5 66.406 (63.432)
Epoch: [7][11970/14090]	Time 0.726 (0.749)	Data 0.001 (0.001)	Loss 2.5071 (2.8165)	Prec@1 35.938 (33.277)	Prec@5 67.969 (63.431)
Epoch: [7][11980/14090]	Time 0.735 (0.749)	Data 0.001 (0.001)	Loss 2.7082 (2.8163)	Prec@1 35.156 (33.279)	Prec@5 64.062 (63.433)
Epoch: [7][11990/14090]	Time 0.728 (0.749)	Data 0.001 (0.001)	Loss 2.9824 (2.8164)	Prec@1 25.781 (33.278)	Prec@5 53.906 (63.432)
Epoch: [7][12000/14090]	Time 0.748 (0.749)	Data 0.001 (0.001)	Loss 2.7733 (2.8164)	Prec@1 35.156 (33.277)	Prec@5 62.500 (63.432)
Epoch: [7][12010/14090]	Time 0.746 (0.749)	Data 0.001 (0.001)	Loss 2.6663 (2.8163)	Prec@1 32.812 (33.277)	Prec@5 62.500 (63.432)
Epoch: [7][12020/14090]	Time 0.745 (0.749)	Data 0.002 (0.001)	Loss 2.8082 (2.8163)	Prec@1 35.156 (33.277)	Prec@5 64.844 (63.432)
Epoch: [7][12030/14090]	Time 0.753 (0.749)	Data 0.001 (0.001)	Loss 2.7091 (2.8163)	Prec@1 37.500 (33.279)	Prec@5 68.750 (63.433)
Epoch: [7][12040/14090]	Time 0.762 (0.749)	Data 0.001 (0.001)	Loss 2.4552 (2.8162)	Prec@1 38.281 (33.281)	Prec@5 71.094 (63.436)
Epoch: [7][12050/14090]	Time 0.767 (0.749)	Data 0.001 (0.001)	Loss 3.1519 (2.8162)	Prec@1 33.594 (33.282)	Prec@5 56.250 (63.434)
Epoch: [7][12060/14090]	Time 0.769 (0.749)	Data 0.001 (0.001)	Loss 2.6090 (2.8162)	Prec@1 37.500 (33.283)	Prec@5 61.719 (63.435)
Epoch: [7][12070/14090]	Time 0.730 (0.749)	Data 0.001 (0.001)	Loss 2.6547 (2.8162)	Prec@1 31.250 (33.283)	Prec@5 67.188 (63.433)
Epoch: [7][12080/14090]	Time 0.744 (0.749)	Data 0.001 (0.001)	Loss 2.6778 (2.8163)	Prec@1 39.844 (33.283)	Prec@5 69.531 (63.434)
Epoch: [7][12090/14090]	Time 0.762 (0.749)	Data 0.002 (0.001)	Loss 2.8694 (2.8163)	Prec@1 33.594 (33.282)	Prec@5 64.062 (63.434)
Epoch: [7][12100/14090]	Time 0.727 (0.749)	Data 0.001 (0.001)	Loss 2.8094 (2.8163)	Prec@1 28.125 (33.283)	Prec@5 67.969 (63.434)
Epoch: [7][12110/14090]	Time 0.748 (0.749)	Data 0.001 (0.001)	Loss 2.6654 (2.8163)	Prec@1 39.062 (33.283)	Prec@5 64.844 (63.433)
Epoch: [7][12120/14090]	Time 0.736 (0.749)	Data 0.001 (0.001)	Loss 2.7546 (2.8162)	Prec@1 32.812 (33.283)	Prec@5 63.281 (63.435)
Epoch: [7][12130/14090]	Time 0.756 (0.749)	Data 0.001 (0.001)	Loss 2.5432 (2.8162)	Prec@1 35.938 (33.285)	Prec@5 68.750 (63.435)
Epoch: [7][12140/14090]	Time 0.771 (0.749)	Data 0.001 (0.001)	Loss 2.6145 (2.8162)	Prec@1 35.156 (33.286)	Prec@5 67.188 (63.435)
Epoch: [7][12150/14090]	Time 0.725 (0.749)	Data 0.001 (0.001)	Loss 2.6621 (2.8162)	Prec@1 35.938 (33.285)	Prec@5 62.500 (63.435)
Epoch: [7][12160/14090]	Time 0.761 (0.749)	Data 0.003 (0.001)	Loss 3.0360 (2.8162)	Prec@1 22.656 (33.283)	Prec@5 52.344 (63.435)
Epoch: [7][12170/14090]	Time 0.730 (0.749)	Data 0.001 (0.001)	Loss 2.7555 (2.8162)	Prec@1 35.156 (33.282)	Prec@5 68.750 (63.435)
Epoch: [7][12180/14090]	Time 0.763 (0.749)	Data 0.001 (0.001)	Loss 2.6539 (2.8162)	Prec@1 36.719 (33.280)	Prec@5 70.312 (63.437)
Epoch: [7][12190/14090]	Time 0.724 (0.749)	Data 0.001 (0.001)	Loss 3.2392 (2.8163)	Prec@1 28.125 (33.278)	Prec@5 54.688 (63.436)
Epoch: [7][12200/14090]	Time 0.739 (0.749)	Data 0.001 (0.001)	Loss 2.8787 (2.8163)	Prec@1 32.031 (33.277)	Prec@5 61.719 (63.435)
Epoch: [7][12210/14090]	Time 0.732 (0.749)	Data 0.001 (0.001)	Loss 2.9995 (2.8163)	Prec@1 28.906 (33.274)	Prec@5 63.281 (63.435)
Epoch: [7][12220/14090]	Time 0.741 (0.749)	Data 0.001 (0.001)	Loss 2.7079 (2.8164)	Prec@1 35.938 (33.274)	Prec@5 64.844 (63.434)
Epoch: [7][12230/14090]	Time 0.762 (0.749)	Data 0.002 (0.001)	Loss 2.9720 (2.8164)	Prec@1 35.938 (33.275)	Prec@5 58.594 (63.434)
Epoch: [7][12240/14090]	Time 0.748 (0.749)	Data 0.001 (0.001)	Loss 2.8631 (2.8163)	Prec@1 31.250 (33.275)	Prec@5 63.281 (63.436)
Epoch: [7][12250/14090]	Time 0.740 (0.749)	Data 0.001 (0.001)	Loss 2.6785 (2.8163)	Prec@1 34.375 (33.275)	Prec@5 60.156 (63.435)
Epoch: [7][12260/14090]	Time 0.771 (0.749)	Data 0.001 (0.001)	Loss 2.7602 (2.8163)	Prec@1 38.281 (33.276)	Prec@5 67.188 (63.436)
Epoch: [7][12270/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 2.9517 (2.8163)	Prec@1 27.344 (33.275)	Prec@5 57.031 (63.436)
Epoch: [7][12280/14090]	Time 0.727 (0.749)	Data 0.001 (0.001)	Loss 2.7618 (2.8163)	Prec@1 35.938 (33.275)	Prec@5 64.844 (63.436)
Epoch: [7][12290/14090]	Time 0.739 (0.749)	Data 0.001 (0.001)	Loss 2.5750 (2.8162)	Prec@1 34.375 (33.277)	Prec@5 69.531 (63.437)
Epoch: [7][12300/14090]	Time 0.749 (0.749)	Data 0.002 (0.001)	Loss 2.9485 (2.8162)	Prec@1 30.469 (33.278)	Prec@5 62.500 (63.438)
Epoch: [7][12310/14090]	Time 0.726 (0.749)	Data 0.001 (0.001)	Loss 2.7788 (2.8163)	Prec@1 30.469 (33.276)	Prec@5 67.188 (63.438)
Epoch: [7][12320/14090]	Time 0.737 (0.749)	Data 0.001 (0.001)	Loss 3.0047 (2.8163)	Prec@1 32.812 (33.277)	Prec@5 58.594 (63.437)
Epoch: [7][12330/14090]	Time 0.773 (0.749)	Data 0.001 (0.001)	Loss 2.8256 (2.8163)	Prec@1 31.250 (33.277)	Prec@5 64.062 (63.436)
Epoch: [7][12340/14090]	Time 0.729 (0.749)	Data 0.001 (0.001)	Loss 2.6442 (2.8163)	Prec@1 37.500 (33.278)	Prec@5 62.500 (63.436)
Epoch: [7][12350/14090]	Time 0.735 (0.749)	Data 0.001 (0.001)	Loss 2.7256 (2.8162)	Prec@1 33.594 (33.277)	Prec@5 64.062 (63.436)
Epoch: [7][12360/14090]	Time 0.784 (0.749)	Data 0.001 (0.001)	Loss 2.7686 (2.8163)	Prec@1 33.594 (33.278)	Prec@5 63.281 (63.435)
Epoch: [7][12370/14090]	Time 0.757 (0.749)	Data 0.002 (0.001)	Loss 2.5963 (2.8162)	Prec@1 42.188 (33.279)	Prec@5 71.094 (63.437)
Epoch: [7][12380/14090]	Time 0.745 (0.749)	Data 0.001 (0.001)	Loss 2.7747 (2.8161)	Prec@1 30.469 (33.280)	Prec@5 62.500 (63.440)
Epoch: [7][12390/14090]	Time 0.757 (0.749)	Data 0.001 (0.001)	Loss 2.9107 (2.8161)	Prec@1 34.375 (33.281)	Prec@5 61.719 (63.439)
Epoch: [7][12400/14090]	Time 0.754 (0.749)	Data 0.001 (0.001)	Loss 2.7380 (2.8162)	Prec@1 33.594 (33.280)	Prec@5 64.844 (63.437)
Epoch: [7][12410/14090]	Time 0.757 (0.749)	Data 0.001 (0.001)	Loss 3.0824 (2.8162)	Prec@1 28.906 (33.280)	Prec@5 52.344 (63.437)
Epoch: [7][12420/14090]	Time 0.748 (0.749)	Data 0.001 (0.001)	Loss 2.6404 (2.8162)	Prec@1 35.938 (33.280)	Prec@5 67.969 (63.438)
Epoch: [7][12430/14090]	Time 0.741 (0.749)	Data 0.001 (0.001)	Loss 2.6832 (2.8161)	Prec@1 35.938 (33.281)	Prec@5 68.750 (63.440)
Epoch: [7][12440/14090]	Time 0.738 (0.749)	Data 0.002 (0.001)	Loss 2.5848 (2.8161)	Prec@1 35.938 (33.282)	Prec@5 70.312 (63.442)
Epoch: [7][12450/14090]	Time 0.778 (0.749)	Data 0.001 (0.001)	Loss 2.9338 (2.8161)	Prec@1 31.250 (33.281)	Prec@5 58.594 (63.440)
Epoch: [7][12460/14090]	Time 0.746 (0.749)	Data 0.001 (0.001)	Loss 2.6816 (2.8162)	Prec@1 42.969 (33.282)	Prec@5 65.625 (63.439)
Epoch: [7][12470/14090]	Time 0.765 (0.749)	Data 0.001 (0.001)	Loss 2.4234 (2.8161)	Prec@1 43.750 (33.283)	Prec@5 70.312 (63.440)
Epoch: [7][12480/14090]	Time 0.736 (0.749)	Data 0.001 (0.001)	Loss 2.6437 (2.8161)	Prec@1 30.469 (33.282)	Prec@5 65.625 (63.441)
Epoch: [7][12490/14090]	Time 0.774 (0.749)	Data 0.001 (0.001)	Loss 2.7450 (2.8161)	Prec@1 33.594 (33.281)	Prec@5 62.500 (63.441)
Epoch: [7][12500/14090]	Time 0.728 (0.749)	Data 0.001 (0.001)	Loss 2.7063 (2.8161)	Prec@1 33.594 (33.280)	Prec@5 67.188 (63.441)
Epoch: [7][12510/14090]	Time 0.750 (0.749)	Data 0.002 (0.001)	Loss 2.7315 (2.8160)	Prec@1 33.594 (33.280)	Prec@5 71.094 (63.442)
Epoch: [7][12520/14090]	Time 0.781 (0.749)	Data 0.001 (0.001)	Loss 2.7747 (2.8160)	Prec@1 32.812 (33.281)	Prec@5 64.844 (63.444)
Epoch: [7][12530/14090]	Time 0.752 (0.749)	Data 0.001 (0.001)	Loss 2.4938 (2.8159)	Prec@1 35.156 (33.280)	Prec@5 67.188 (63.446)
Epoch: [7][12540/14090]	Time 0.771 (0.749)	Data 0.001 (0.001)	Loss 2.7538 (2.8159)	Prec@1 32.031 (33.280)	Prec@5 65.625 (63.446)
Epoch: [7][12550/14090]	Time 0.747 (0.749)	Data 0.001 (0.001)	Loss 2.8121 (2.8158)	Prec@1 38.281 (33.282)	Prec@5 57.812 (63.448)
Epoch: [7][12560/14090]	Time 0.723 (0.749)	Data 0.001 (0.001)	Loss 2.9299 (2.8159)	Prec@1 31.250 (33.282)	Prec@5 61.719 (63.448)
Epoch: [7][12570/14090]	Time 0.749 (0.749)	Data 0.001 (0.001)	Loss 2.5158 (2.8158)	Prec@1 41.406 (33.284)	Prec@5 67.969 (63.449)
Epoch: [7][12580/14090]	Time 0.759 (0.749)	Data 0.002 (0.001)	Loss 2.8421 (2.8159)	Prec@1 30.469 (33.282)	Prec@5 64.844 (63.447)
Epoch: [7][12590/14090]	Time 0.743 (0.749)	Data 0.001 (0.001)	Loss 2.7969 (2.8159)	Prec@1 31.250 (33.283)	Prec@5 63.281 (63.447)
Epoch: [7][12600/14090]	Time 0.723 (0.749)	Data 0.001 (0.001)	Loss 2.9006 (2.8158)	Prec@1 34.375 (33.283)	Prec@5 60.938 (63.448)
Epoch: [7][12610/14090]	Time 0.756 (0.749)	Data 0.001 (0.001)	Loss 3.0239 (2.8159)	Prec@1 31.250 (33.283)	Prec@5 53.125 (63.449)
Epoch: [7][12620/14090]	Time 0.753 (0.749)	Data 0.001 (0.001)	Loss 2.9472 (2.8159)	Prec@1 30.469 (33.281)	Prec@5 61.719 (63.447)
Epoch: [7][12630/14090]	Time 0.732 (0.749)	Data 0.001 (0.001)	Loss 2.8917 (2.8160)	Prec@1 29.688 (33.281)	Prec@5 60.156 (63.446)
Epoch: [7][12640/14090]	Time 0.753 (0.749)	Data 0.001 (0.001)	Loss 2.8961 (2.8160)	Prec@1 28.906 (33.280)	Prec@5 59.375 (63.444)
Epoch: [7][12650/14090]	Time 0.743 (0.749)	Data 0.002 (0.001)	Loss 2.8314 (2.8160)	Prec@1 35.938 (33.280)	Prec@5 70.312 (63.446)
Epoch: [7][12660/14090]	Time 0.760 (0.749)	Data 0.002 (0.001)	Loss 2.6944 (2.8160)	Prec@1 37.500 (33.278)	Prec@5 65.625 (63.444)
Epoch: [7][12670/14090]	Time 0.732 (0.749)	Data 0.001 (0.001)	Loss 3.0439 (2.8161)	Prec@1 28.906 (33.277)	Prec@5 59.375 (63.443)
Epoch: [7][12680/14090]	Time 0.779 (0.749)	Data 0.001 (0.001)	Loss 3.0079 (2.8161)	Prec@1 30.469 (33.274)	Prec@5 57.031 (63.441)
Epoch: [7][12690/14090]	Time 0.736 (0.749)	Data 0.001 (0.001)	Loss 2.9238 (2.8162)	Prec@1 33.594 (33.273)	Prec@5 58.594 (63.440)
Epoch: [7][12700/14090]	Time 0.762 (0.749)	Data 0.001 (0.001)	Loss 2.7175 (2.8162)	Prec@1 34.375 (33.272)	Prec@5 66.406 (63.439)
Epoch: [7][12710/14090]	Time 0.731 (0.749)	Data 0.001 (0.001)	Loss 2.8141 (2.8163)	Prec@1 32.031 (33.272)	Prec@5 65.625 (63.440)
Epoch: [7][12720/14090]	Time 0.727 (0.749)	Data 0.002 (0.001)	Loss 2.6901 (2.8162)	Prec@1 38.281 (33.274)	Prec@5 64.062 (63.442)
Epoch: [7][12730/14090]	Time 0.745 (0.749)	Data 0.001 (0.001)	Loss 2.8532 (2.8161)	Prec@1 31.250 (33.275)	Prec@5 64.062 (63.443)
Epoch: [7][12740/14090]	Time 0.763 (0.749)	Data 0.001 (0.001)	Loss 2.8635 (2.8161)	Prec@1 35.938 (33.275)	Prec@5 61.719 (63.443)
Epoch: [7][12750/14090]	Time 0.748 (0.749)	Data 0.001 (0.001)	Loss 2.5791 (2.8161)	Prec@1 39.844 (33.276)	Prec@5 66.406 (63.444)
Epoch: [7][12760/14090]	Time 0.775 (0.749)	Data 0.001 (0.001)	Loss 3.0341 (2.8161)	Prec@1 28.906 (33.276)	Prec@5 58.594 (63.443)
Epoch: [7][12770/14090]	Time 0.764 (0.749)	Data 0.001 (0.001)	Loss 2.6706 (2.8161)	Prec@1 37.500 (33.276)	Prec@5 69.531 (63.443)
Epoch: [7][12780/14090]	Time 0.735 (0.749)	Data 0.001 (0.001)	Loss 2.6002 (2.8161)	Prec@1 40.625 (33.276)	Prec@5 66.406 (63.444)
Epoch: [7][12790/14090]	Time 0.755 (0.749)	Data 0.002 (0.001)	Loss 2.9280 (2.8161)	Prec@1 30.469 (33.277)	Prec@5 58.594 (63.442)
Epoch: [7][12800/14090]	Time 0.756 (0.749)	Data 0.001 (0.001)	Loss 2.7904 (2.8161)	Prec@1 33.594 (33.275)	Prec@5 62.500 (63.442)
Epoch: [7][12810/14090]	Time 0.754 (0.749)	Data 0.001 (0.001)	Loss 3.0927 (2.8162)	Prec@1 28.125 (33.274)	Prec@5 60.156 (63.442)
Epoch: [7][12820/14090]	Time 0.771 (0.749)	Data 0.001 (0.001)	Loss 3.1773 (2.8162)	Prec@1 24.219 (33.274)	Prec@5 57.031 (63.442)
Epoch: [7][12830/14090]	Time 0.732 (0.749)	Data 0.001 (0.001)	Loss 2.6150 (2.8162)	Prec@1 35.156 (33.272)	Prec@5 68.750 (63.442)
Epoch: [7][12840/14090]	Time 0.781 (0.749)	Data 0.001 (0.001)	Loss 2.9723 (2.8162)	Prec@1 33.594 (33.272)	Prec@5 59.375 (63.443)
Epoch: [7][12850/14090]	Time 0.727 (0.749)	Data 0.001 (0.001)	Loss 2.5584 (2.8162)	Prec@1 41.406 (33.274)	Prec@5 67.188 (63.442)
Epoch: [7][12860/14090]	Time 0.743 (0.749)	Data 0.002 (0.001)	Loss 2.7409 (2.8161)	Prec@1 33.594 (33.276)	Prec@5 66.406 (63.444)
Epoch: [7][12870/14090]	Time 0.727 (0.749)	Data 0.001 (0.001)	Loss 2.8574 (2.8162)	Prec@1 41.406 (33.276)	Prec@5 63.281 (63.445)
Epoch: [7][12880/14090]	Time 0.730 (0.749)	Data 0.001 (0.001)	Loss 3.0049 (2.8162)	Prec@1 25.000 (33.275)	Prec@5 63.281 (63.445)
Epoch: [7][12890/14090]	Time 0.748 (0.749)	Data 0.001 (0.001)	Loss 2.6768 (2.8162)	Prec@1 32.812 (33.273)	Prec@5 67.188 (63.445)
Epoch: [7][12900/14090]	Time 0.763 (0.749)	Data 0.002 (0.001)	Loss 2.5788 (2.8162)	Prec@1 39.844 (33.275)	Prec@5 71.875 (63.445)
Epoch: [7][12910/14090]	Time 0.746 (0.749)	Data 0.001 (0.001)	Loss 3.0709 (2.8161)	Prec@1 30.469 (33.275)	Prec@5 62.500 (63.445)
Epoch: [7][12920/14090]	Time 0.775 (0.749)	Data 0.001 (0.001)	Loss 3.0417 (2.8162)	Prec@1 29.688 (33.275)	Prec@5 56.250 (63.443)
Epoch: [7][12930/14090]	Time 0.750 (0.749)	Data 0.002 (0.001)	Loss 2.6833 (2.8162)	Prec@1 37.500 (33.275)	Prec@5 66.406 (63.444)
Epoch: [7][12940/14090]	Time 0.747 (0.749)	Data 0.001 (0.001)	Loss 2.9011 (2.8162)	Prec@1 33.594 (33.276)	Prec@5 60.938 (63.446)
Epoch: [7][12950/14090]	Time 0.736 (0.749)	Data 0.001 (0.001)	Loss 2.6510 (2.8161)	Prec@1 32.031 (33.276)	Prec@5 67.188 (63.447)
Epoch: [7][12960/14090]	Time 0.757 (0.749)	Data 0.001 (0.001)	Loss 2.7641 (2.8161)	Prec@1 32.031 (33.275)	Prec@5 64.062 (63.448)
Epoch: [7][12970/14090]	Time 0.735 (0.749)	Data 0.001 (0.001)	Loss 2.8742 (2.8161)	Prec@1 35.938 (33.276)	Prec@5 62.500 (63.448)
Epoch: [7][12980/14090]	Time 0.772 (0.749)	Data 0.001 (0.001)	Loss 2.9372 (2.8161)	Prec@1 34.375 (33.274)	Prec@5 61.719 (63.447)
Epoch: [7][12990/14090]	Time 0.756 (0.749)	Data 0.001 (0.001)	Loss 2.8482 (2.8162)	Prec@1 28.125 (33.274)	Prec@5 56.250 (63.446)
Epoch: [7][13000/14090]	Time 0.764 (0.749)	Data 0.002 (0.001)	Loss 3.1034 (2.8162)	Prec@1 30.469 (33.272)	Prec@5 60.938 (63.445)
Epoch: [7][13010/14090]	Time 0.756 (0.749)	Data 0.001 (0.001)	Loss 2.8081 (2.8163)	Prec@1 28.906 (33.270)	Prec@5 63.281 (63.443)
Epoch: [7][13020/14090]	Time 0.741 (0.749)	Data 0.001 (0.001)	Loss 2.8344 (2.8164)	Prec@1 33.594 (33.269)	Prec@5 60.156 (63.441)
Epoch: [7][13030/14090]	Time 0.759 (0.749)	Data 0.001 (0.001)	Loss 2.6908 (2.8164)	Prec@1 30.469 (33.267)	Prec@5 66.406 (63.442)
Epoch: [7][13040/14090]	Time 0.753 (0.749)	Data 0.001 (0.001)	Loss 2.9434 (2.8164)	Prec@1 32.812 (33.266)	Prec@5 60.938 (63.440)
Epoch: [7][13050/14090]	Time 0.755 (0.749)	Data 0.001 (0.001)	Loss 2.5423 (2.8164)	Prec@1 43.750 (33.268)	Prec@5 67.969 (63.442)
Epoch: [7][13060/14090]	Time 0.728 (0.749)	Data 0.001 (0.001)	Loss 2.7901 (2.8164)	Prec@1 35.156 (33.268)	Prec@5 64.062 (63.441)
Epoch: [7][13070/14090]	Time 0.762 (0.749)	Data 0.002 (0.001)	Loss 2.4836 (2.8163)	Prec@1 36.719 (33.269)	Prec@5 68.750 (63.442)
Epoch: [7][13080/14090]	Time 0.764 (0.749)	Data 0.001 (0.001)	Loss 2.4136 (2.8163)	Prec@1 40.625 (33.270)	Prec@5 67.188 (63.442)
Epoch: [7][13090/14090]	Time 0.739 (0.749)	Data 0.001 (0.001)	Loss 2.6400 (2.8163)	Prec@1 35.156 (33.270)	Prec@5 69.531 (63.442)
Epoch: [7][13100/14090]	Time 0.779 (0.749)	Data 0.001 (0.001)	Loss 2.8971 (2.8162)	Prec@1 28.125 (33.271)	Prec@5 60.156 (63.444)
Epoch: [7][13110/14090]	Time 0.742 (0.749)	Data 0.001 (0.001)	Loss 2.8448 (2.8162)	Prec@1 28.906 (33.270)	Prec@5 58.594 (63.445)
Epoch: [7][13120/14090]	Time 0.732 (0.749)	Data 0.001 (0.001)	Loss 2.6799 (2.8163)	Prec@1 35.156 (33.268)	Prec@5 67.188 (63.443)
Epoch: [7][13130/14090]	Time 0.732 (0.749)	Data 0.001 (0.001)	Loss 3.0564 (2.8163)	Prec@1 29.688 (33.268)	Prec@5 58.594 (63.443)
Epoch: [7][13140/14090]	Time 0.742 (0.749)	Data 0.002 (0.001)	Loss 2.9269 (2.8164)	Prec@1 27.344 (33.266)	Prec@5 60.938 (63.441)
Epoch: [7][13150/14090]	Time 0.743 (0.749)	Data 0.001 (0.001)	Loss 2.6469 (2.8164)	Prec@1 29.688 (33.266)	Prec@5 64.062 (63.442)
Epoch: [7][13160/14090]	Time 0.752 (0.749)	Data 0.001 (0.001)	Loss 2.7682 (2.8164)	Prec@1 29.688 (33.265)	Prec@5 62.500 (63.441)
Epoch: [7][13170/14090]	Time 0.741 (0.749)	Data 0.001 (0.001)	Loss 2.6049 (2.8164)	Prec@1 39.062 (33.265)	Prec@5 63.281 (63.442)
Epoch: [7][13180/14090]	Time 0.730 (0.749)	Data 0.001 (0.001)	Loss 2.8911 (2.8164)	Prec@1 36.719 (33.264)	Prec@5 63.281 (63.442)
Epoch: [7][13190/14090]	Time 0.757 (0.749)	Data 0.001 (0.001)	Loss 2.7898 (2.8163)	Prec@1 39.062 (33.265)	Prec@5 65.625 (63.443)
Epoch: [7][13200/14090]	Time 0.763 (0.749)	Data 0.001 (0.001)	Loss 3.1234 (2.8163)	Prec@1 29.688 (33.264)	Prec@5 60.156 (63.442)
Epoch: [7][13210/14090]	Time 0.779 (0.749)	Data 0.003 (0.001)	Loss 3.0913 (2.8164)	Prec@1 32.812 (33.264)	Prec@5 55.469 (63.442)
Epoch: [7][13220/14090]	Time 0.757 (0.749)	Data 0.001 (0.001)	Loss 3.0908 (2.8164)	Prec@1 32.031 (33.265)	Prec@5 55.469 (63.442)
Epoch: [7][13230/14090]	Time 0.763 (0.749)	Data 0.001 (0.001)	Loss 2.7572 (2.8163)	Prec@1 35.156 (33.264)	Prec@5 64.844 (63.443)
Epoch: [7][13240/14090]	Time 0.726 (0.749)	Data 0.001 (0.001)	Loss 3.0250 (2.8164)	Prec@1 32.031 (33.264)	Prec@5 58.594 (63.443)
Epoch: [7][13250/14090]	Time 0.757 (0.749)	Data 0.001 (0.001)	Loss 2.6761 (2.8163)	Prec@1 39.062 (33.266)	Prec@5 66.406 (63.445)
Epoch: [7][13260/14090]	Time 0.753 (0.749)	Data 0.001 (0.001)	Loss 2.7009 (2.8162)	Prec@1 31.250 (33.266)	Prec@5 64.062 (63.446)
Epoch: [7][13270/14090]	Time 0.757 (0.749)	Data 0.001 (0.001)	Loss 2.8647 (2.8162)	Prec@1 34.375 (33.267)	Prec@5 60.938 (63.448)
Epoch: [7][13280/14090]	Time 0.724 (0.749)	Data 0.002 (0.001)	Loss 3.0455 (2.8162)	Prec@1 32.031 (33.267)	Prec@5 58.594 (63.448)
Epoch: [7][13290/14090]	Time 0.749 (0.749)	Data 0.001 (0.001)	Loss 2.4557 (2.8162)	Prec@1 41.406 (33.268)	Prec@5 73.438 (63.448)
Epoch: [7][13300/14090]	Time 0.744 (0.749)	Data 0.001 (0.001)	Loss 2.8103 (2.8162)	Prec@1 35.938 (33.268)	Prec@5 64.844 (63.447)
Epoch: [7][13310/14090]	Time 0.739 (0.749)	Data 0.001 (0.001)	Loss 2.9170 (2.8161)	Prec@1 32.812 (33.268)	Prec@5 60.938 (63.446)
Epoch: [7][13320/14090]	Time 0.739 (0.749)	Data 0.001 (0.001)	Loss 2.8740 (2.8161)	Prec@1 31.250 (33.268)	Prec@5 66.406 (63.447)
Epoch: [7][13330/14090]	Time 0.755 (0.749)	Data 0.001 (0.001)	Loss 2.8885 (2.8161)	Prec@1 32.812 (33.269)	Prec@5 60.938 (63.447)
Epoch: [7][13340/14090]	Time 0.727 (0.749)	Data 0.001 (0.001)	Loss 2.8378 (2.8161)	Prec@1 30.469 (33.268)	Prec@5 61.719 (63.446)
Epoch: [7][13350/14090]	Time 0.765 (0.749)	Data 0.002 (0.001)	Loss 2.6554 (2.8161)	Prec@1 39.062 (33.267)	Prec@5 67.188 (63.447)
Epoch: [7][13360/14090]	Time 0.724 (0.749)	Data 0.002 (0.001)	Loss 2.6759 (2.8161)	Prec@1 32.031 (33.268)	Prec@5 68.750 (63.448)
Epoch: [7][13370/14090]	Time 0.727 (0.749)	Data 0.001 (0.001)	Loss 2.7142 (2.8161)	Prec@1 35.156 (33.267)	Prec@5 63.281 (63.448)
Epoch: [7][13380/14090]	Time 0.731 (0.749)	Data 0.001 (0.001)	Loss 3.0663 (2.8161)	Prec@1 32.812 (33.269)	Prec@5 57.031 (63.449)
Epoch: [7][13390/14090]	Time 0.762 (0.749)	Data 0.001 (0.001)	Loss 2.9406 (2.8161)	Prec@1 29.688 (33.268)	Prec@5 69.531 (63.447)
Epoch: [7][13400/14090]	Time 0.744 (0.749)	Data 0.001 (0.001)	Loss 2.6274 (2.8161)	Prec@1 35.938 (33.267)	Prec@5 68.750 (63.448)
Epoch: [7][13410/14090]	Time 0.777 (0.749)	Data 0.001 (0.001)	Loss 2.5817 (2.8161)	Prec@1 32.812 (33.268)	Prec@5 69.531 (63.448)
Epoch: [7][13420/14090]	Time 0.746 (0.749)	Data 0.002 (0.001)	Loss 2.9927 (2.8161)	Prec@1 29.688 (33.268)	Prec@5 55.469 (63.449)
Epoch: [7][13430/14090]	Time 0.733 (0.749)	Data 0.001 (0.001)	Loss 2.8238 (2.8161)	Prec@1 28.125 (33.267)	Prec@5 67.188 (63.450)
Epoch: [7][13440/14090]	Time 0.739 (0.749)	Data 0.001 (0.001)	Loss 2.6965 (2.8160)	Prec@1 32.031 (33.269)	Prec@5 65.625 (63.451)
Epoch: [7][13450/14090]	Time 0.726 (0.749)	Data 0.001 (0.001)	Loss 2.9281 (2.8159)	Prec@1 32.031 (33.271)	Prec@5 60.156 (63.453)
Epoch: [7][13460/14090]	Time 0.764 (0.749)	Data 0.001 (0.001)	Loss 2.9313 (2.8160)	Prec@1 31.250 (33.270)	Prec@5 59.375 (63.451)
Epoch: [7][13470/14090]	Time 0.741 (0.749)	Data 0.001 (0.001)	Loss 3.0074 (2.8160)	Prec@1 28.906 (33.270)	Prec@5 57.031 (63.452)
Epoch: [7][13480/14090]	Time 0.753 (0.749)	Data 0.001 (0.001)	Loss 3.0632 (2.8160)	Prec@1 32.031 (33.270)	Prec@5 57.031 (63.454)
Epoch: [7][13490/14090]	Time 0.753 (0.749)	Data 0.002 (0.001)	Loss 2.7588 (2.8160)	Prec@1 32.031 (33.269)	Prec@5 70.312 (63.453)
Epoch: [7][13500/14090]	Time 0.735 (0.749)	Data 0.001 (0.001)	Loss 2.8175 (2.8161)	Prec@1 31.250 (33.269)	Prec@5 60.938 (63.452)
Epoch: [7][13510/14090]	Time 0.726 (0.749)	Data 0.001 (0.001)	Loss 2.9388 (2.8161)	Prec@1 29.688 (33.269)	Prec@5 64.062 (63.451)
Epoch: [7][13520/14090]	Time 0.767 (0.749)	Data 0.001 (0.001)	Loss 2.6847 (2.8161)	Prec@1 32.812 (33.268)	Prec@5 64.844 (63.449)
Epoch: [7][13530/14090]	Time 0.749 (0.749)	Data 0.001 (0.001)	Loss 3.0081 (2.8161)	Prec@1 30.469 (33.267)	Prec@5 58.594 (63.449)
Epoch: [7][13540/14090]	Time 0.736 (0.749)	Data 0.002 (0.001)	Loss 2.8646 (2.8162)	Prec@1 30.469 (33.268)	Prec@5 60.156 (63.449)
Epoch: [7][13550/14090]	Time 0.758 (0.749)	Data 0.001 (0.001)	Loss 2.3926 (2.8161)	Prec@1 39.062 (33.267)	Prec@5 73.438 (63.450)
Epoch: [7][13560/14090]	Time 0.752 (0.749)	Data 0.002 (0.001)	Loss 2.8542 (2.8162)	Prec@1 33.594 (33.267)	Prec@5 61.719 (63.450)
Epoch: [7][13570/14090]	Time 0.734 (0.749)	Data 0.001 (0.001)	Loss 2.6686 (2.8161)	Prec@1 35.938 (33.267)	Prec@5 66.406 (63.450)
Epoch: [7][13580/14090]	Time 0.743 (0.749)	Data 0.001 (0.001)	Loss 2.7169 (2.8161)	Prec@1 36.719 (33.267)	Prec@5 64.062 (63.448)
Epoch: [7][13590/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 3.0873 (2.8162)	Prec@1 29.688 (33.266)	Prec@5 60.156 (63.448)
Epoch: [7][13600/14090]	Time 0.725 (0.749)	Data 0.001 (0.001)	Loss 2.5607 (2.8161)	Prec@1 40.625 (33.267)	Prec@5 71.094 (63.450)
Epoch: [7][13610/14090]	Time 0.782 (0.749)	Data 0.001 (0.001)	Loss 2.5646 (2.8161)	Prec@1 34.375 (33.266)	Prec@5 69.531 (63.451)
Epoch: [7][13620/14090]	Time 0.766 (0.749)	Data 0.001 (0.001)	Loss 2.7314 (2.8161)	Prec@1 35.938 (33.266)	Prec@5 64.062 (63.451)
Epoch: [7][13630/14090]	Time 0.752 (0.749)	Data 0.004 (0.001)	Loss 2.7487 (2.8161)	Prec@1 36.719 (33.267)	Prec@5 63.281 (63.451)
Epoch: [7][13640/14090]	Time 0.783 (0.749)	Data 0.001 (0.001)	Loss 2.9653 (2.8161)	Prec@1 26.562 (33.267)	Prec@5 63.281 (63.450)
Epoch: [7][13650/14090]	Time 0.748 (0.749)	Data 0.001 (0.001)	Loss 2.9275 (2.8161)	Prec@1 30.469 (33.266)	Prec@5 62.500 (63.449)
Epoch: [7][13660/14090]	Time 0.745 (0.749)	Data 0.001 (0.001)	Loss 2.9475 (2.8160)	Prec@1 36.719 (33.265)	Prec@5 62.500 (63.451)
Epoch: [7][13670/14090]	Time 0.725 (0.749)	Data 0.001 (0.001)	Loss 2.9970 (2.8160)	Prec@1 26.562 (33.265)	Prec@5 62.500 (63.452)
Epoch: [7][13680/14090]	Time 0.780 (0.749)	Data 0.001 (0.001)	Loss 2.6874 (2.8160)	Prec@1 35.938 (33.266)	Prec@5 64.844 (63.453)
Epoch: [7][13690/14090]	Time 0.737 (0.749)	Data 0.001 (0.001)	Loss 2.5918 (2.8160)	Prec@1 45.312 (33.267)	Prec@5 68.750 (63.454)
Epoch: [7][13700/14090]	Time 0.754 (0.749)	Data 0.003 (0.001)	Loss 2.8264 (2.8159)	Prec@1 28.906 (33.268)	Prec@5 64.844 (63.455)
Epoch: [7][13710/14090]	Time 0.730 (0.749)	Data 0.001 (0.001)	Loss 2.7355 (2.8159)	Prec@1 32.812 (33.268)	Prec@5 59.375 (63.454)
Epoch: [7][13720/14090]	Time 0.777 (0.749)	Data 0.001 (0.001)	Loss 2.7764 (2.8159)	Prec@1 31.250 (33.270)	Prec@5 65.625 (63.455)
Epoch: [7][13730/14090]	Time 0.725 (0.749)	Data 0.001 (0.001)	Loss 2.7966 (2.8159)	Prec@1 39.844 (33.270)	Prec@5 60.938 (63.454)
Epoch: [7][13740/14090]	Time 0.730 (0.749)	Data 0.001 (0.001)	Loss 2.8594 (2.8159)	Prec@1 34.375 (33.271)	Prec@5 60.938 (63.454)
Epoch: [7][13750/14090]	Time 0.735 (0.749)	Data 0.001 (0.001)	Loss 2.5899 (2.8159)	Prec@1 39.062 (33.270)	Prec@5 67.969 (63.456)
Epoch: [7][13760/14090]	Time 0.741 (0.749)	Data 0.001 (0.001)	Loss 2.7705 (2.8158)	Prec@1 34.375 (33.271)	Prec@5 70.312 (63.456)
Epoch: [7][13770/14090]	Time 0.755 (0.749)	Data 0.003 (0.001)	Loss 2.6627 (2.8157)	Prec@1 32.031 (33.272)	Prec@5 64.844 (63.458)
Epoch: [7][13780/14090]	Time 0.748 (0.749)	Data 0.001 (0.001)	Loss 3.0455 (2.8157)	Prec@1 28.125 (33.273)	Prec@5 61.719 (63.460)
Epoch: [7][13790/14090]	Time 0.730 (0.749)	Data 0.001 (0.001)	Loss 3.0801 (2.8157)	Prec@1 29.688 (33.272)	Prec@5 60.938 (63.458)
Epoch: [7][13800/14090]	Time 0.761 (0.749)	Data 0.001 (0.001)	Loss 3.1765 (2.8157)	Prec@1 22.656 (33.273)	Prec@5 60.156 (63.459)
Epoch: [7][13810/14090]	Time 0.752 (0.749)	Data 0.001 (0.001)	Loss 2.9203 (2.8157)	Prec@1 25.781 (33.272)	Prec@5 56.250 (63.458)
Epoch: [7][13820/14090]	Time 0.733 (0.749)	Data 0.001 (0.001)	Loss 2.6754 (2.8157)	Prec@1 32.031 (33.273)	Prec@5 67.188 (63.459)
Epoch: [7][13830/14090]	Time 0.728 (0.749)	Data 0.001 (0.001)	Loss 2.8282 (2.8157)	Prec@1 34.375 (33.272)	Prec@5 63.281 (63.457)
Epoch: [7][13840/14090]	Time 0.727 (0.749)	Data 0.002 (0.001)	Loss 2.9596 (2.8158)	Prec@1 31.250 (33.272)	Prec@5 57.031 (63.456)
Epoch: [7][13850/14090]	Time 0.769 (0.749)	Data 0.001 (0.001)	Loss 2.5871 (2.8159)	Prec@1 35.938 (33.271)	Prec@5 69.531 (63.454)
Epoch: [7][13860/14090]	Time 0.778 (0.749)	Data 0.001 (0.001)	Loss 2.7044 (2.8159)	Prec@1 36.719 (33.270)	Prec@5 64.062 (63.453)
Epoch: [7][13870/14090]	Time 0.766 (0.749)	Data 0.001 (0.001)	Loss 2.9487 (2.8159)	Prec@1 31.250 (33.269)	Prec@5 60.156 (63.452)
Epoch: [7][13880/14090]	Time 0.730 (0.749)	Data 0.001 (0.001)	Loss 2.7493 (2.8159)	Prec@1 39.062 (33.271)	Prec@5 68.750 (63.454)
Epoch: [7][13890/14090]	Time 0.752 (0.749)	Data 0.001 (0.001)	Loss 2.7604 (2.8158)	Prec@1 35.938 (33.270)	Prec@5 60.156 (63.454)
Epoch: [7][13900/14090]	Time 0.757 (0.749)	Data 0.001 (0.001)	Loss 3.1760 (2.8160)	Prec@1 28.906 (33.269)	Prec@5 57.031 (63.452)
Epoch: [7][13910/14090]	Time 0.757 (0.749)	Data 0.002 (0.001)	Loss 2.8805 (2.8159)	Prec@1 28.125 (33.268)	Prec@5 61.719 (63.453)
Epoch: [7][13920/14090]	Time 0.756 (0.749)	Data 0.001 (0.001)	Loss 3.0170 (2.8159)	Prec@1 32.812 (33.269)	Prec@5 56.250 (63.453)
Epoch: [7][13930/14090]	Time 0.757 (0.749)	Data 0.001 (0.001)	Loss 3.0918 (2.8159)	Prec@1 26.562 (33.268)	Prec@5 57.031 (63.453)
Epoch: [7][13940/14090]	Time 0.729 (0.749)	Data 0.001 (0.001)	Loss 2.7561 (2.8159)	Prec@1 33.594 (33.268)	Prec@5 67.188 (63.453)
Epoch: [7][13950/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 2.7992 (2.8160)	Prec@1 38.281 (33.267)	Prec@5 64.844 (63.452)
Epoch: [7][13960/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 2.7688 (2.8160)	Prec@1 32.812 (33.267)	Prec@5 65.625 (63.451)
Epoch: [7][13970/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 3.0825 (2.8159)	Prec@1 27.344 (33.267)	Prec@5 56.250 (63.452)
Epoch: [7][13980/14090]	Time 0.727 (0.749)	Data 0.002 (0.001)	Loss 2.7141 (2.8160)	Prec@1 41.406 (33.267)	Prec@5 62.500 (63.452)
Epoch: [7][13990/14090]	Time 0.782 (0.749)	Data 0.001 (0.001)	Loss 2.7714 (2.8159)	Prec@1 39.062 (33.268)	Prec@5 63.281 (63.452)
Epoch: [7][14000/14090]	Time 0.786 (0.749)	Data 0.001 (0.001)	Loss 2.9362 (2.8159)	Prec@1 31.250 (33.268)	Prec@5 58.594 (63.453)
Epoch: [7][14010/14090]	Time 0.724 (0.749)	Data 0.001 (0.001)	Loss 2.7230 (2.8159)	Prec@1 37.500 (33.269)	Prec@5 62.500 (63.454)
Epoch: [7][14020/14090]	Time 0.765 (0.749)	Data 0.001 (0.001)	Loss 2.8514 (2.8159)	Prec@1 28.906 (33.268)	Prec@5 64.844 (63.454)
Epoch: [7][14030/14090]	Time 0.741 (0.749)	Data 0.001 (0.001)	Loss 2.7414 (2.8159)	Prec@1 31.250 (33.266)	Prec@5 66.406 (63.454)
Epoch: [7][14040/14090]	Time 0.761 (0.749)	Data 0.001 (0.001)	Loss 2.9011 (2.8159)	Prec@1 36.719 (33.266)	Prec@5 61.719 (63.453)
Epoch: [7][14050/14090]	Time 0.752 (0.749)	Data 0.002 (0.001)	Loss 2.8325 (2.8159)	Prec@1 30.469 (33.266)	Prec@5 58.594 (63.453)
Epoch: [7][14060/14090]	Time 0.775 (0.749)	Data 0.001 (0.001)	Loss 2.6674 (2.8159)	Prec@1 32.031 (33.265)	Prec@5 69.531 (63.454)
Epoch: [7][14070/14090]	Time 0.750 (0.749)	Data 0.001 (0.001)	Loss 2.7356 (2.8160)	Prec@1 38.281 (33.265)	Prec@5 64.062 (63.454)
Epoch: [7][14080/14090]	Time 0.741 (0.749)	Data 0.000 (0.001)	Loss 3.0593 (2.8159)	Prec@1 31.250 (33.266)	Prec@5 58.594 (63.455)
Test: [0/286]	Time 2.899 (2.899)	Loss 2.3914 (2.3914)	Prec@1 35.938 (35.938)	Prec@5 80.469 (80.469)
Test: [10/286]	Time 0.322 (0.496)	Loss 2.8354 (2.9363)	Prec@1 23.438 (26.918)	Prec@5 68.750 (65.838)
Test: [20/286]	Time 0.232 (0.377)	Loss 2.6452 (2.7467)	Prec@1 42.188 (33.110)	Prec@5 67.188 (68.304)
Test: [30/286]	Time 0.236 (0.336)	Loss 2.6340 (2.6043)	Prec@1 35.156 (36.971)	Prec@5 67.969 (70.060)
Test: [40/286]	Time 0.237 (0.314)	Loss 2.1286 (2.5462)	Prec@1 35.156 (37.176)	Prec@5 81.250 (71.208)
Test: [50/286]	Time 0.238 (0.301)	Loss 1.4922 (2.5647)	Prec@1 71.094 (36.504)	Prec@5 82.031 (71.002)
Test: [60/286]	Time 0.326 (0.295)	Loss 3.5338 (2.5843)	Prec@1 25.781 (36.744)	Prec@5 50.781 (70.108)
Test: [70/286]	Time 0.242 (0.289)	Loss 1.7690 (2.5717)	Prec@1 57.031 (36.917)	Prec@5 80.469 (69.784)
Test: [80/286]	Time 0.248 (0.284)	Loss 3.2187 (2.6209)	Prec@1 17.188 (35.658)	Prec@5 60.156 (68.682)
Test: [90/286]	Time 0.232 (0.280)	Loss 2.4682 (2.6501)	Prec@1 38.281 (35.431)	Prec@5 69.531 (67.788)
Test: [100/286]	Time 0.265 (0.277)	Loss 2.7294 (2.6296)	Prec@1 31.250 (35.798)	Prec@5 64.062 (68.309)
Test: [110/286]	Time 0.338 (0.276)	Loss 2.9192 (2.6491)	Prec@1 23.438 (35.206)	Prec@5 57.031 (67.891)
Test: [120/286]	Time 0.233 (0.274)	Loss 3.2552 (2.6476)	Prec@1 21.875 (35.376)	Prec@5 59.375 (67.762)
Test: [130/286]	Time 0.251 (0.273)	Loss 1.5970 (2.6527)	Prec@1 60.938 (35.419)	Prec@5 86.719 (67.754)
Test: [140/286]	Time 0.227 (0.271)	Loss 3.4511 (2.6353)	Prec@1 32.031 (35.865)	Prec@5 53.125 (68.157)
Test: [150/286]	Time 0.264 (0.270)	Loss 3.0004 (2.6385)	Prec@1 21.875 (35.627)	Prec@5 60.156 (68.067)
Test: [160/286]	Time 0.335 (0.269)	Loss 3.7739 (2.6180)	Prec@1 13.281 (36.127)	Prec@5 43.750 (68.454)
Test: [170/286]	Time 0.276 (0.269)	Loss 3.0281 (2.6145)	Prec@1 26.562 (36.285)	Prec@5 63.281 (68.448)
Test: [180/286]	Time 0.236 (0.268)	Loss 2.6574 (2.6375)	Prec@1 43.750 (35.912)	Prec@5 68.750 (68.068)
Test: [190/286]	Time 0.243 (0.267)	Loss 3.1628 (2.6482)	Prec@1 14.844 (35.635)	Prec@5 57.812 (67.899)
Test: [200/286]	Time 0.251 (0.267)	Loss 3.0855 (2.6522)	Prec@1 22.656 (35.658)	Prec@5 63.281 (67.837)
Test: [210/286]	Time 0.321 (0.266)	Loss 2.6667 (2.6498)	Prec@1 28.125 (35.656)	Prec@5 73.438 (67.869)
Test: [220/286]	Time 0.246 (0.266)	Loss 4.0921 (2.6620)	Prec@1 10.156 (35.552)	Prec@5 32.812 (67.573)
Test: [230/286]	Time 0.256 (0.265)	Loss 1.3823 (2.6580)	Prec@1 68.750 (35.724)	Prec@5 85.938 (67.590)
Test: [240/286]	Time 0.240 (0.265)	Loss 2.3013 (2.6528)	Prec@1 36.719 (35.753)	Prec@5 73.438 (67.774)
Test: [250/286]	Time 0.235 (0.264)	Loss 3.3054 (2.6399)	Prec@1 13.281 (35.863)	Prec@5 64.844 (68.143)
Test: [260/286]	Time 0.250 (0.264)	Loss 2.6043 (2.6306)	Prec@1 35.156 (35.991)	Prec@5 66.406 (68.364)
Test: [270/286]	Time 0.237 (0.264)	Loss 1.7312 (2.6131)	Prec@1 57.031 (36.384)	Prec@5 85.938 (68.664)
Test: [280/286]	Time 0.236 (0.263)	Loss 1.6835 (2.5942)	Prec@1 57.812 (36.858)	Prec@5 82.812 (68.895)
 * Prec@1 37.080 Prec@5 69.013
Epoch: [8][0/14090]	Time 4.251 (4.251)	Data 3.447 (3.447)	Loss 2.8342 (2.8342)	Prec@1 35.156 (35.156)	Prec@5 63.281 (63.281)
Epoch: [8][10/14090]	Time 0.726 (1.077)	Data 0.001 (0.314)	Loss 2.5981 (2.8047)	Prec@1 36.719 (33.665)	Prec@5 69.531 (63.281)
Epoch: [8][20/14090]	Time 0.872 (0.927)	Data 0.001 (0.165)	Loss 2.8921 (2.7939)	Prec@1 29.688 (32.812)	Prec@5 60.156 (63.765)
Epoch: [8][30/14090]	Time 0.768 (0.871)	Data 0.001 (0.112)	Loss 2.8766 (2.7821)	Prec@1 31.250 (33.039)	Prec@5 61.719 (64.138)
Epoch: [8][40/14090]	Time 0.755 (0.841)	Data 0.001 (0.085)	Loss 2.6403 (2.7940)	Prec@1 38.281 (32.908)	Prec@5 64.844 (63.510)
Epoch: [8][50/14090]	Time 0.770 (0.827)	Data 0.002 (0.068)	Loss 2.7115 (2.8075)	Prec@1 35.156 (32.920)	Prec@5 69.531 (63.205)
Epoch: [8][60/14090]	Time 0.783 (0.816)	Data 0.001 (0.057)	Loss 2.6680 (2.7987)	Prec@1 36.719 (33.261)	Prec@5 61.719 (63.486)
Epoch: [8][70/14090]	Time 0.736 (0.808)	Data 0.001 (0.049)	Loss 3.0122 (2.8041)	Prec@1 34.375 (33.253)	Prec@5 57.812 (63.270)
Epoch: [8][80/14090]	Time 0.743 (0.802)	Data 0.001 (0.043)	Loss 2.5423 (2.8114)	Prec@1 36.719 (33.044)	Prec@5 67.188 (63.204)
Epoch: [8][90/14090]	Time 0.884 (0.800)	Data 0.001 (0.039)	Loss 3.1705 (2.8136)	Prec@1 29.688 (33.044)	Prec@5 56.250 (63.110)
Epoch: [8][100/14090]	Time 0.749 (0.796)	Data 0.001 (0.035)	Loss 2.6458 (2.8152)	Prec@1 39.844 (33.137)	Prec@5 68.750 (63.096)
Epoch: [8][110/14090]	Time 0.734 (0.793)	Data 0.001 (0.032)	Loss 2.7795 (2.8114)	Prec@1 29.688 (33.164)	Prec@5 62.500 (63.211)
Epoch: [8][120/14090]	Time 0.738 (0.792)	Data 0.001 (0.029)	Loss 2.3468 (2.8148)	Prec@1 39.844 (33.206)	Prec@5 72.656 (63.133)
Epoch: [8][130/14090]	Time 0.736 (0.790)	Data 0.001 (0.027)	Loss 2.8174 (2.8136)	Prec@1 30.469 (33.230)	Prec@5 64.844 (63.216)
Epoch: [8][140/14090]	Time 0.768 (0.789)	Data 0.001 (0.025)	Loss 2.9610 (2.8077)	Prec@1 35.938 (33.494)	Prec@5 60.156 (63.259)
Epoch: [8][150/14090]	Time 0.745 (0.787)	Data 0.001 (0.024)	Loss 2.8705 (2.8089)	Prec@1 28.906 (33.387)	Prec@5 64.062 (63.312)
Epoch: [8][160/14090]	Time 0.914 (0.787)	Data 0.001 (0.022)	Loss 2.8201 (2.8068)	Prec@1 31.250 (33.380)	Prec@5 65.625 (63.451)
Epoch: [8][170/14090]	Time 0.724 (0.786)	Data 0.001 (0.021)	Loss 2.6802 (2.8040)	Prec@1 34.375 (33.457)	Prec@5 67.969 (63.542)
Epoch: [8][180/14090]	Time 0.746 (0.784)	Data 0.001 (0.020)	Loss 2.5684 (2.8017)	Prec@1 39.062 (33.533)	Prec@5 67.188 (63.605)
Epoch: [8][190/14090]	Time 0.729 (0.784)	Data 0.001 (0.019)	Loss 2.5664 (2.7992)	Prec@1 40.625 (33.565)	Prec@5 63.281 (63.621)
Epoch: [8][200/14090]	Time 0.758 (0.783)	Data 0.001 (0.018)	Loss 2.9121 (2.8019)	Prec@1 29.688 (33.520)	Prec@5 60.156 (63.538)
Epoch: [8][210/14090]	Time 0.731 (0.783)	Data 0.001 (0.017)	Loss 2.9168 (2.8020)	Prec@1 31.250 (33.431)	Prec@5 56.250 (63.555)
Epoch: [8][220/14090]	Time 0.742 (0.782)	Data 0.001 (0.016)	Loss 3.0703 (2.8035)	Prec@1 31.250 (33.431)	Prec@5 63.281 (63.603)
Epoch: [8][230/14090]	Time 0.917 (0.782)	Data 0.001 (0.016)	Loss 2.7463 (2.8006)	Prec@1 37.500 (33.462)	Prec@5 65.625 (63.660)
Epoch: [8][240/14090]	Time 0.733 (0.781)	Data 0.001 (0.015)	Loss 2.8215 (2.8008)	Prec@1 32.812 (33.477)	Prec@5 63.281 (63.654)
Epoch: [8][250/14090]	Time 0.744 (0.780)	Data 0.001 (0.015)	Loss 2.9414 (2.8005)	Prec@1 25.000 (33.497)	Prec@5 64.062 (63.720)
Epoch: [8][260/14090]	Time 0.732 (0.780)	Data 0.001 (0.014)	Loss 2.9564 (2.8072)	Prec@1 39.062 (33.408)	Prec@5 60.938 (63.581)
Epoch: [8][270/14090]	Time 0.738 (0.779)	Data 0.001 (0.014)	Loss 2.7675 (2.8077)	Prec@1 28.906 (33.297)	Prec@5 67.188 (63.544)
Epoch: [8][280/14090]	Time 0.742 (0.779)	Data 0.001 (0.013)	Loss 2.5717 (2.8073)	Prec@1 35.938 (33.291)	Prec@5 71.875 (63.520)
Epoch: [8][290/14090]	Time 0.740 (0.778)	Data 0.001 (0.013)	Loss 2.8286 (2.8088)	Prec@1 32.031 (33.277)	Prec@5 60.156 (63.496)
Epoch: [8][300/14090]	Time 0.871 (0.778)	Data 0.001 (0.012)	Loss 2.8189 (2.8100)	Prec@1 34.375 (33.249)	Prec@5 66.406 (63.507)
Epoch: [8][310/14090]	Time 0.742 (0.777)	Data 0.001 (0.012)	Loss 2.9059 (2.8082)	Prec@1 33.594 (33.280)	Prec@5 61.719 (63.497)
Epoch: [8][320/14090]	Time 0.750 (0.777)	Data 0.001 (0.012)	Loss 2.9317 (2.8079)	Prec@1 30.469 (33.309)	Prec@5 61.719 (63.512)
Epoch: [8][330/14090]	Time 0.767 (0.777)	Data 0.001 (0.011)	Loss 2.6628 (2.8055)	Prec@1 33.594 (33.303)	Prec@5 65.625 (63.574)
Epoch: [8][340/14090]	Time 0.735 (0.777)	Data 0.001 (0.011)	Loss 2.7962 (2.8069)	Prec@1 32.031 (33.307)	Prec@5 60.938 (63.517)
Epoch: [8][350/14090]	Time 0.733 (0.776)	Data 0.001 (0.011)	Loss 2.6985 (2.8059)	Prec@1 37.500 (33.322)	Prec@5 61.719 (63.571)
Epoch: [8][360/14090]	Time 0.728 (0.776)	Data 0.001 (0.010)	Loss 2.4538 (2.8059)	Prec@1 38.281 (33.323)	Prec@5 74.219 (63.582)
Epoch: [8][370/14090]	Time 0.912 (0.776)	Data 0.001 (0.010)	Loss 2.9045 (2.8062)	Prec@1 30.469 (33.282)	Prec@5 61.719 (63.584)
Epoch: [8][380/14090]	Time 0.744 (0.775)	Data 0.001 (0.010)	Loss 2.6751 (2.8052)	Prec@1 33.594 (33.290)	Prec@5 60.938 (63.613)
Epoch: [8][390/14090]	Time 0.763 (0.775)	Data 0.001 (0.010)	Loss 2.6524 (2.8031)	Prec@1 38.281 (33.306)	Prec@5 64.844 (63.675)
Epoch: [8][400/14090]	Time 0.738 (0.775)	Data 0.001 (0.009)	Loss 2.5567 (2.8026)	Prec@1 35.156 (33.313)	Prec@5 72.656 (63.685)
Epoch: [8][410/14090]	Time 0.742 (0.775)	Data 0.001 (0.009)	Loss 2.9616 (2.8031)	Prec@1 28.906 (33.293)	Prec@5 65.625 (63.682)
Epoch: [8][420/14090]	Time 0.755 (0.774)	Data 0.001 (0.009)	Loss 2.5577 (2.8038)	Prec@1 33.594 (33.278)	Prec@5 67.969 (63.656)
Epoch: [8][430/14090]	Time 0.730 (0.774)	Data 0.001 (0.009)	Loss 2.8050 (2.8021)	Prec@1 35.938 (33.342)	Prec@5 65.625 (63.702)
Epoch: [8][440/14090]	Time 0.857 (0.774)	Data 0.001 (0.009)	Loss 2.7099 (2.8029)	Prec@1 36.719 (33.321)	Prec@5 69.531 (63.687)
Epoch: [8][450/14090]	Time 0.781 (0.774)	Data 0.001 (0.009)	Loss 2.8533 (2.8039)	Prec@1 30.469 (33.296)	Prec@5 61.719 (63.681)
Epoch: [8][460/14090]	Time 0.744 (0.774)	Data 0.001 (0.008)	Loss 2.6149 (2.8028)	Prec@1 32.031 (33.336)	Prec@5 61.719 (63.705)
Epoch: [8][470/14090]	Time 0.728 (0.774)	Data 0.001 (0.008)	Loss 3.0578 (2.8049)	Prec@1 32.812 (33.318)	Prec@5 55.469 (63.640)
Epoch: [8][480/14090]	Time 0.754 (0.773)	Data 0.001 (0.008)	Loss 2.6711 (2.8050)	Prec@1 32.812 (33.297)	Prec@5 66.406 (63.627)
Epoch: [8][490/14090]	Time 0.727 (0.773)	Data 0.001 (0.008)	Loss 2.5103 (2.8024)	Prec@1 40.625 (33.341)	Prec@5 67.188 (63.681)
Epoch: [8][500/14090]	Time 0.730 (0.773)	Data 0.001 (0.008)	Loss 2.9977 (2.8023)	Prec@1 30.469 (33.347)	Prec@5 59.375 (63.687)
Epoch: [8][510/14090]	Time 0.848 (0.773)	Data 0.001 (0.008)	Loss 2.6465 (2.8030)	Prec@1 32.031 (33.348)	Prec@5 64.844 (63.670)
Epoch: [8][520/14090]	Time 0.732 (0.773)	Data 0.001 (0.008)	Loss 2.8050 (2.8024)	Prec@1 29.688 (33.340)	Prec@5 67.188 (63.704)
Epoch: [8][530/14090]	Time 0.750 (0.772)	Data 0.001 (0.007)	Loss 2.7090 (2.8012)	Prec@1 35.938 (33.348)	Prec@5 63.281 (63.758)
Epoch: [8][540/14090]	Time 0.755 (0.772)	Data 0.001 (0.007)	Loss 2.8892 (2.8006)	Prec@1 32.812 (33.379)	Prec@5 62.500 (63.771)
Epoch: [8][550/14090]	Time 0.725 (0.772)	Data 0.001 (0.007)	Loss 2.7266 (2.8025)	Prec@1 38.281 (33.344)	Prec@5 65.625 (63.734)
Epoch: [8][560/14090]	Time 0.725 (0.772)	Data 0.001 (0.007)	Loss 2.6988 (2.8019)	Prec@1 32.031 (33.356)	Prec@5 64.844 (63.735)
Epoch: [8][570/14090]	Time 0.740 (0.772)	Data 0.001 (0.007)	Loss 2.9049 (2.8011)	Prec@1 33.594 (33.384)	Prec@5 58.594 (63.744)
Epoch: [8][580/14090]	Time 0.834 (0.771)	Data 0.001 (0.007)	Loss 3.1236 (2.8023)	Prec@1 32.812 (33.381)	Prec@5 55.469 (63.713)
Epoch: [8][590/14090]	Time 0.737 (0.771)	Data 0.001 (0.007)	Loss 2.8742 (2.8024)	Prec@1 32.812 (33.365)	Prec@5 64.844 (63.721)
Epoch: [8][600/14090]	Time 0.727 (0.771)	Data 0.001 (0.007)	Loss 2.6198 (2.8026)	Prec@1 39.062 (33.365)	Prec@5 70.312 (63.714)
Epoch: [8][610/14090]	Time 0.757 (0.771)	Data 0.001 (0.007)	Loss 2.5161 (2.8026)	Prec@1 41.406 (33.380)	Prec@5 70.312 (63.724)
Epoch: [8][620/14090]	Time 0.781 (0.771)	Data 0.001 (0.006)	Loss 2.7217 (2.8020)	Prec@1 30.469 (33.357)	Prec@5 64.062 (63.742)
Epoch: [8][630/14090]	Time 0.728 (0.771)	Data 0.001 (0.006)	Loss 2.7181 (2.8013)	Prec@1 35.156 (33.385)	Prec@5 63.281 (63.754)
Epoch: [8][640/14090]	Time 0.765 (0.770)	Data 0.001 (0.006)	Loss 2.7807 (2.8009)	Prec@1 41.406 (33.383)	Prec@5 65.625 (63.759)
Epoch: [8][650/14090]	Time 0.884 (0.770)	Data 0.001 (0.006)	Loss 3.1136 (2.8019)	Prec@1 26.562 (33.386)	Prec@5 61.719 (63.746)
Epoch: [8][660/14090]	Time 0.746 (0.770)	Data 0.001 (0.006)	Loss 2.9548 (2.8010)	Prec@1 33.594 (33.406)	Prec@5 57.812 (63.766)
Epoch: [8][670/14090]	Time 0.731 (0.770)	Data 0.001 (0.006)	Loss 3.0103 (2.8016)	Prec@1 31.250 (33.409)	Prec@5 57.031 (63.759)
Epoch: [8][680/14090]	Time 0.739 (0.770)	Data 0.001 (0.006)	Loss 2.8765 (2.8021)	Prec@1 33.594 (33.380)	Prec@5 60.938 (63.719)
Epoch: [8][690/14090]	Time 0.740 (0.770)	Data 0.001 (0.006)	Loss 2.7090 (2.8025)	Prec@1 38.281 (33.363)	Prec@5 67.969 (63.722)
Epoch: [8][700/14090]	Time 0.725 (0.770)	Data 0.001 (0.006)	Loss 2.7020 (2.8032)	Prec@1 31.250 (33.346)	Prec@5 64.844 (63.714)
Epoch: [8][710/14090]	Time 0.726 (0.769)	Data 0.001 (0.006)	Loss 2.7737 (2.8024)	Prec@1 30.469 (33.342)	Prec@5 60.938 (63.753)
Epoch: [8][720/14090]	Time 0.845 (0.769)	Data 0.001 (0.006)	Loss 2.8160 (2.8019)	Prec@1 31.250 (33.347)	Prec@5 62.500 (63.772)
Epoch: [8][730/14090]	Time 0.728 (0.769)	Data 0.001 (0.006)	Loss 2.9930 (2.8025)	Prec@1 32.031 (33.344)	Prec@5 58.594 (63.754)
Epoch: [8][740/14090]	Time 0.754 (0.769)	Data 0.001 (0.006)	Loss 2.8158 (2.8021)	Prec@1 35.938 (33.343)	Prec@5 59.375 (63.749)
Epoch: [8][750/14090]	Time 0.757 (0.769)	Data 0.001 (0.005)	Loss 2.6271 (2.8023)	Prec@1 35.156 (33.345)	Prec@5 64.062 (63.761)
Epoch: [8][760/14090]	Time 0.772 (0.769)	Data 0.001 (0.005)	Loss 2.9352 (2.8027)	Prec@1 30.469 (33.333)	Prec@5 60.938 (63.739)
Epoch: [8][770/14090]	Time 0.757 (0.769)	Data 0.001 (0.005)	Loss 2.8564 (2.8033)	Prec@1 33.594 (33.331)	Prec@5 64.062 (63.717)
Epoch: [8][780/14090]	Time 0.741 (0.769)	Data 0.001 (0.005)	Loss 2.8301 (2.8034)	Prec@1 29.688 (33.311)	Prec@5 60.156 (63.722)
Epoch: [8][790/14090]	Time 0.902 (0.769)	Data 0.001 (0.005)	Loss 2.6448 (2.8022)	Prec@1 35.938 (33.315)	Prec@5 65.625 (63.736)
Epoch: [8][800/14090]	Time 0.750 (0.769)	Data 0.001 (0.005)	Loss 2.5759 (2.8021)	Prec@1 35.156 (33.326)	Prec@5 66.406 (63.739)
Epoch: [8][810/14090]	Time 0.767 (0.768)	Data 0.001 (0.005)	Loss 2.9680 (2.8019)	Prec@1 28.906 (33.318)	Prec@5 60.938 (63.734)
Epoch: [8][820/14090]	Time 0.756 (0.769)	Data 0.001 (0.005)	Loss 3.0010 (2.8019)	Prec@1 28.906 (33.321)	Prec@5 60.156 (63.738)
Epoch: [8][830/14090]	Time 0.724 (0.768)	Data 0.001 (0.005)	Loss 2.6905 (2.8025)	Prec@1 32.812 (33.308)	Prec@5 64.062 (63.727)
Epoch: [8][840/14090]	Time 0.742 (0.768)	Data 0.001 (0.005)	Loss 2.6673 (2.8021)	Prec@1 37.500 (33.316)	Prec@5 65.625 (63.742)
Epoch: [8][850/14090]	Time 0.746 (0.768)	Data 0.001 (0.005)	Loss 2.7194 (2.8017)	Prec@1 35.156 (33.324)	Prec@5 63.281 (63.738)
Epoch: [8][860/14090]	Time 0.911 (0.768)	Data 0.001 (0.005)	Loss 3.0703 (2.8023)	Prec@1 28.906 (33.297)	Prec@5 58.594 (63.733)
Epoch: [8][870/14090]	Time 0.732 (0.768)	Data 0.001 (0.005)	Loss 2.8669 (2.8027)	Prec@1 32.031 (33.309)	Prec@5 60.938 (63.728)
Epoch: [8][880/14090]	Time 0.726 (0.768)	Data 0.001 (0.005)	Loss 2.6002 (2.8026)	Prec@1 39.844 (33.315)	Prec@5 65.625 (63.739)
Epoch: [8][890/14090]	Time 0.739 (0.768)	Data 0.001 (0.005)	Loss 3.0093 (2.8022)	Prec@1 30.469 (33.325)	Prec@5 61.719 (63.744)
Epoch: [8][900/14090]	Time 0.761 (0.768)	Data 0.001 (0.005)	Loss 2.8825 (2.8024)	Prec@1 36.719 (33.337)	Prec@5 64.062 (63.745)
Epoch: [8][910/14090]	Time 0.757 (0.768)	Data 0.001 (0.005)	Loss 2.9905 (2.8033)	Prec@1 24.219 (33.295)	Prec@5 59.375 (63.726)
Epoch: [8][920/14090]	Time 0.760 (0.768)	Data 0.001 (0.005)	Loss 2.8162 (2.8029)	Prec@1 32.812 (33.279)	Prec@5 61.719 (63.742)
Epoch: [8][930/14090]	Time 0.856 (0.768)	Data 0.001 (0.005)	Loss 2.9066 (2.8023)	Prec@1 31.250 (33.296)	Prec@5 66.406 (63.766)
Epoch: [8][940/14090]	Time 0.740 (0.767)	Data 0.001 (0.005)	Loss 2.6701 (2.8024)	Prec@1 39.062 (33.297)	Prec@5 65.625 (63.764)
Epoch: [8][950/14090]	Time 0.732 (0.767)	Data 0.001 (0.004)	Loss 2.3596 (2.8017)	Prec@1 39.062 (33.299)	Prec@5 75.781 (63.780)
Epoch: [8][960/14090]	Time 0.779 (0.767)	Data 0.001 (0.004)	Loss 3.1337 (2.8020)	Prec@1 24.219 (33.282)	Prec@5 54.688 (63.779)
Epoch: [8][970/14090]	Time 0.772 (0.767)	Data 0.001 (0.004)	Loss 2.5881 (2.8029)	Prec@1 37.500 (33.278)	Prec@5 70.312 (63.760)
Epoch: [8][980/14090]	Time 0.755 (0.767)	Data 0.001 (0.004)	Loss 2.2906 (2.8022)	Prec@1 40.625 (33.278)	Prec@5 75.781 (63.776)
Epoch: [8][990/14090]	Time 0.777 (0.767)	Data 0.001 (0.004)	Loss 2.8303 (2.8024)	Prec@1 33.594 (33.297)	Prec@5 60.156 (63.767)
Epoch: [8][1000/14090]	Time 0.813 (0.767)	Data 0.001 (0.004)	Loss 3.1225 (2.8037)	Prec@1 23.438 (33.285)	Prec@5 55.469 (63.724)
Epoch: [8][1010/14090]	Time 0.743 (0.767)	Data 0.001 (0.004)	Loss 2.9998 (2.8035)	Prec@1 31.250 (33.298)	Prec@5 57.812 (63.728)
Epoch: [8][1020/14090]	Time 0.726 (0.767)	Data 0.001 (0.004)	Loss 2.8742 (2.8030)	Prec@1 33.594 (33.315)	Prec@5 60.938 (63.733)
Epoch: [8][1030/14090]	Time 0.724 (0.767)	Data 0.001 (0.004)	Loss 2.6598 (2.8036)	Prec@1 31.250 (33.299)	Prec@5 71.094 (63.729)
Epoch: [8][1040/14090]	Time 0.728 (0.767)	Data 0.001 (0.004)	Loss 2.7911 (2.8039)	Prec@1 28.125 (33.293)	Prec@5 61.719 (63.726)
Epoch: [8][1050/14090]	Time 0.723 (0.767)	Data 0.001 (0.004)	Loss 2.6454 (2.8040)	Prec@1 34.375 (33.282)	Prec@5 66.406 (63.706)
Epoch: [8][1060/14090]	Time 0.767 (0.767)	Data 0.001 (0.004)	Loss 2.7284 (2.8042)	Prec@1 36.719 (33.277)	Prec@5 64.844 (63.721)
Epoch: [8][1070/14090]	Time 0.838 (0.767)	Data 0.001 (0.004)	Loss 3.0096 (2.8046)	Prec@1 33.594 (33.277)	Prec@5 58.594 (63.706)
Epoch: [8][1080/14090]	Time 0.741 (0.767)	Data 0.001 (0.004)	Loss 2.9586 (2.8044)	Prec@1 31.250 (33.289)	Prec@5 59.375 (63.713)
Epoch: [8][1090/14090]	Time 0.749 (0.767)	Data 0.001 (0.004)	Loss 2.8720 (2.8043)	Prec@1 37.500 (33.298)	Prec@5 61.719 (63.710)
Epoch: [8][1100/14090]	Time 0.753 (0.767)	Data 0.001 (0.004)	Loss 2.7331 (2.8042)	Prec@1 32.812 (33.308)	Prec@5 59.375 (63.716)
Epoch: [8][1110/14090]	Time 0.743 (0.767)	Data 0.001 (0.004)	Loss 2.7966 (2.8037)	Prec@1 35.938 (33.304)	Prec@5 63.281 (63.728)
Epoch: [8][1120/14090]	Time 0.729 (0.767)	Data 0.001 (0.004)	Loss 2.6429 (2.8035)	Prec@1 36.719 (33.307)	Prec@5 67.969 (63.738)
Epoch: [8][1130/14090]	Time 0.742 (0.767)	Data 0.001 (0.004)	Loss 2.8504 (2.8028)	Prec@1 35.156 (33.321)	Prec@5 61.719 (63.750)
Epoch: [8][1140/14090]	Time 0.817 (0.767)	Data 0.001 (0.004)	Loss 2.9055 (2.8024)	Prec@1 30.469 (33.333)	Prec@5 64.062 (63.773)
Epoch: [8][1150/14090]	Time 0.775 (0.767)	Data 0.001 (0.004)	Loss 2.6319 (2.8025)	Prec@1 39.062 (33.340)	Prec@5 65.625 (63.787)
Epoch: [8][1160/14090]	Time 0.741 (0.767)	Data 0.001 (0.004)	Loss 2.8996 (2.8027)	Prec@1 32.812 (33.339)	Prec@5 61.719 (63.777)
Epoch: [8][1170/14090]	Time 0.724 (0.767)	Data 0.001 (0.004)	Loss 2.7891 (2.8034)	Prec@1 32.812 (33.336)	Prec@5 64.062 (63.759)
Epoch: [8][1180/14090]	Time 0.749 (0.766)	Data 0.001 (0.004)	Loss 2.8153 (2.8035)	Prec@1 40.625 (33.336)	Prec@5 67.969 (63.768)
Epoch: [8][1190/14090]	Time 0.760 (0.766)	Data 0.001 (0.004)	Loss 2.7116 (2.8035)	Prec@1 35.938 (33.323)	Prec@5 67.188 (63.759)
Epoch: [8][1200/14090]	Time 0.735 (0.766)	Data 0.001 (0.004)	Loss 2.9195 (2.8036)	Prec@1 32.031 (33.328)	Prec@5 59.375 (63.762)
Epoch: [8][1210/14090]	Time 0.894 (0.766)	Data 0.001 (0.004)	Loss 2.7108 (2.8030)	Prec@1 36.719 (33.342)	Prec@5 67.188 (63.769)
Epoch: [8][1220/14090]	Time 0.749 (0.766)	Data 0.001 (0.004)	Loss 2.9077 (2.8028)	Prec@1 31.250 (33.349)	Prec@5 60.938 (63.782)
Epoch: [8][1230/14090]	Time 0.758 (0.766)	Data 0.001 (0.004)	Loss 2.6724 (2.8021)	Prec@1 31.250 (33.344)	Prec@5 69.531 (63.792)
Epoch: [8][1240/14090]	Time 0.751 (0.766)	Data 0.001 (0.004)	Loss 2.4919 (2.8020)	Prec@1 35.156 (33.346)	Prec@5 71.094 (63.798)
Epoch: [8][1250/14090]	Time 0.724 (0.766)	Data 0.001 (0.004)	Loss 2.7278 (2.8020)	Prec@1 31.250 (33.355)	Prec@5 65.625 (63.799)
Epoch: [8][1260/14090]	Time 0.726 (0.766)	Data 0.001 (0.004)	Loss 2.6019 (2.8015)	Prec@1 32.031 (33.365)	Prec@5 70.312 (63.810)
Epoch: [8][1270/14090]	Time 0.757 (0.766)	Data 0.001 (0.004)	Loss 2.5891 (2.8014)	Prec@1 39.844 (33.360)	Prec@5 70.312 (63.817)
Epoch: [8][1280/14090]	Time 0.843 (0.766)	Data 0.001 (0.004)	Loss 2.8956 (2.8020)	Prec@1 31.250 (33.349)	Prec@5 60.938 (63.808)
Epoch: [8][1290/14090]	Time 0.724 (0.766)	Data 0.001 (0.004)	Loss 2.8180 (2.8019)	Prec@1 28.125 (33.344)	Prec@5 67.969 (63.811)
Epoch: [8][1300/14090]	Time 0.757 (0.766)	Data 0.001 (0.004)	Loss 2.7185 (2.8017)	Prec@1 39.062 (33.358)	Prec@5 64.062 (63.811)
Epoch: [8][1310/14090]	Time 0.729 (0.766)	Data 0.001 (0.003)	Loss 3.1381 (2.8021)	Prec@1 25.781 (33.357)	Prec@5 53.125 (63.790)
Epoch: [8][1320/14090]	Time 0.753 (0.766)	Data 0.001 (0.003)	Loss 2.6928 (2.8016)	Prec@1 32.031 (33.374)	Prec@5 68.750 (63.803)
Epoch: [8][1330/14090]	Time 0.762 (0.766)	Data 0.001 (0.003)	Loss 2.8208 (2.8013)	Prec@1 37.500 (33.383)	Prec@5 67.188 (63.808)
Epoch: [8][1340/14090]	Time 0.752 (0.766)	Data 0.001 (0.003)	Loss 2.7778 (2.8010)	Prec@1 28.906 (33.392)	Prec@5 66.406 (63.820)
Epoch: [8][1350/14090]	Time 0.850 (0.766)	Data 0.001 (0.003)	Loss 2.9243 (2.8010)	Prec@1 33.594 (33.401)	Prec@5 59.375 (63.806)
Epoch: [8][1360/14090]	Time 0.752 (0.766)	Data 0.001 (0.003)	Loss 3.0935 (2.8022)	Prec@1 27.344 (33.378)	Prec@5 57.031 (63.778)
Epoch: [8][1370/14090]	Time 0.740 (0.766)	Data 0.001 (0.003)	Loss 2.7459 (2.8022)	Prec@1 25.781 (33.370)	Prec@5 68.750 (63.786)
Epoch: [8][1380/14090]	Time 0.783 (0.766)	Data 0.001 (0.003)	Loss 2.8410 (2.8023)	Prec@1 31.250 (33.376)	Prec@5 61.719 (63.792)
Epoch: [8][1390/14090]	Time 0.728 (0.766)	Data 0.001 (0.003)	Loss 3.0628 (2.8021)	Prec@1 25.000 (33.376)	Prec@5 57.031 (63.790)
Epoch: [8][1400/14090]	Time 0.725 (0.766)	Data 0.001 (0.003)	Loss 3.0731 (2.8025)	Prec@1 28.125 (33.376)	Prec@5 53.125 (63.772)
Epoch: [8][1410/14090]	Time 0.731 (0.766)	Data 0.001 (0.003)	Loss 2.7074 (2.8025)	Prec@1 39.062 (33.369)	Prec@5 67.969 (63.770)
Epoch: [8][1420/14090]	Time 0.860 (0.766)	Data 0.001 (0.003)	Loss 2.7169 (2.8030)	Prec@1 32.812 (33.358)	Prec@5 64.062 (63.756)
Epoch: [8][1430/14090]	Time 0.731 (0.766)	Data 0.001 (0.003)	Loss 2.7460 (2.8031)	Prec@1 32.812 (33.359)	Prec@5 64.844 (63.755)
Epoch: [8][1440/14090]	Time 0.750 (0.766)	Data 0.001 (0.003)	Loss 3.0534 (2.8035)	Prec@1 31.250 (33.344)	Prec@5 59.375 (63.740)
Epoch: [8][1450/14090]	Time 0.754 (0.766)	Data 0.001 (0.003)	Loss 2.9003 (2.8035)	Prec@1 28.906 (33.337)	Prec@5 64.062 (63.738)
Epoch: [8][1460/14090]	Time 0.762 (0.766)	Data 0.001 (0.003)	Loss 2.8465 (2.8033)	Prec@1 35.156 (33.335)	Prec@5 59.375 (63.732)
Epoch: [8][1470/14090]	Time 0.743 (0.766)	Data 0.001 (0.003)	Loss 2.8653 (2.8037)	Prec@1 30.469 (33.321)	Prec@5 66.406 (63.726)
Epoch: [8][1480/14090]	Time 0.758 (0.766)	Data 0.001 (0.003)	Loss 2.8753 (2.8038)	Prec@1 30.469 (33.315)	Prec@5 63.281 (63.721)
Epoch: [8][1490/14090]	Time 0.849 (0.766)	Data 0.001 (0.003)	Loss 2.8161 (2.8039)	Prec@1 33.594 (33.317)	Prec@5 64.062 (63.723)
Epoch: [8][1500/14090]	Time 0.755 (0.766)	Data 0.001 (0.003)	Loss 2.9492 (2.8034)	Prec@1 28.906 (33.324)	Prec@5 60.938 (63.730)
Epoch: [8][1510/14090]	Time 0.754 (0.766)	Data 0.001 (0.003)	Loss 2.7216 (2.8029)	Prec@1 34.375 (33.337)	Prec@5 65.625 (63.744)
Epoch: [8][1520/14090]	Time 0.750 (0.766)	Data 0.001 (0.003)	Loss 2.7148 (2.8038)	Prec@1 29.688 (33.318)	Prec@5 66.406 (63.724)
Epoch: [8][1530/14090]	Time 0.751 (0.766)	Data 0.001 (0.003)	Loss 2.7058 (2.8036)	Prec@1 34.375 (33.326)	Prec@5 72.656 (63.724)
Epoch: [8][1540/14090]	Time 0.751 (0.766)	Data 0.001 (0.003)	Loss 2.8083 (2.8033)	Prec@1 32.031 (33.332)	Prec@5 64.062 (63.732)
Epoch: [8][1550/14090]	Time 0.724 (0.766)	Data 0.001 (0.003)	Loss 2.6140 (2.8039)	Prec@1 30.469 (33.325)	Prec@5 65.625 (63.730)
Epoch: [8][1560/14090]	Time 0.876 (0.766)	Data 0.001 (0.003)	Loss 3.0021 (2.8038)	Prec@1 28.906 (33.325)	Prec@5 58.594 (63.731)
Epoch: [8][1570/14090]	Time 0.753 (0.766)	Data 0.001 (0.003)	Loss 2.5390 (2.8041)	Prec@1 37.500 (33.324)	Prec@5 71.094 (63.726)
Epoch: [8][1580/14090]	Time 0.745 (0.766)	Data 0.001 (0.003)	Loss 2.8819 (2.8043)	Prec@1 33.594 (33.324)	Prec@5 63.281 (63.735)
Epoch: [8][1590/14090]	Time 0.731 (0.766)	Data 0.001 (0.003)	Loss 2.7741 (2.8041)	Prec@1 36.719 (33.326)	Prec@5 58.594 (63.730)
Epoch: [8][1600/14090]	Time 0.746 (0.766)	Data 0.001 (0.003)	Loss 2.8743 (2.8041)	Prec@1 32.031 (33.325)	Prec@5 57.812 (63.726)
Epoch: [8][1610/14090]	Time 0.775 (0.766)	Data 0.001 (0.003)	Loss 2.9340 (2.8050)	Prec@1 31.250 (33.309)	Prec@5 57.031 (63.706)
Epoch: [8][1620/14090]	Time 0.730 (0.766)	Data 0.001 (0.003)	Loss 2.7874 (2.8055)	Prec@1 34.375 (33.303)	Prec@5 60.156 (63.699)
Epoch: [8][1630/14090]	Time 0.856 (0.766)	Data 0.001 (0.003)	Loss 2.9660 (2.8051)	Prec@1 32.812 (33.309)	Prec@5 64.062 (63.711)
Epoch: [8][1640/14090]	Time 0.728 (0.765)	Data 0.001 (0.003)	Loss 2.6002 (2.8052)	Prec@1 31.250 (33.292)	Prec@5 68.750 (63.712)
Epoch: [8][1650/14090]	Time 0.739 (0.765)	Data 0.001 (0.003)	Loss 2.7861 (2.8051)	Prec@1 32.031 (33.307)	Prec@5 64.062 (63.711)
Epoch: [8][1660/14090]	Time 0.742 (0.765)	Data 0.001 (0.003)	Loss 2.8423 (2.8046)	Prec@1 29.688 (33.310)	Prec@5 64.062 (63.717)
Epoch: [8][1670/14090]	Time 0.759 (0.765)	Data 0.001 (0.003)	Loss 2.3985 (2.8046)	Prec@1 41.406 (33.307)	Prec@5 75.000 (63.714)
Epoch: [8][1680/14090]	Time 0.760 (0.765)	Data 0.001 (0.003)	Loss 2.9040 (2.8045)	Prec@1 34.375 (33.315)	Prec@5 60.156 (63.719)
Epoch: [8][1690/14090]	Time 0.756 (0.765)	Data 0.001 (0.003)	Loss 2.4750 (2.8048)	Prec@1 39.844 (33.311)	Prec@5 66.406 (63.711)
Epoch: [8][1700/14090]	Time 0.868 (0.765)	Data 0.001 (0.003)	Loss 3.0331 (2.8053)	Prec@1 26.562 (33.300)	Prec@5 60.156 (63.700)
Epoch: [8][1710/14090]	Time 0.758 (0.765)	Data 0.001 (0.003)	Loss 2.6527 (2.8051)	Prec@1 36.719 (33.299)	Prec@5 67.969 (63.704)
Epoch: [8][1720/14090]	Time 0.753 (0.765)	Data 0.001 (0.003)	Loss 2.9701 (2.8054)	Prec@1 29.688 (33.295)	Prec@5 60.156 (63.694)
Epoch: [8][1730/14090]	Time 0.764 (0.765)	Data 0.002 (0.003)	Loss 2.6294 (2.8048)	Prec@1 42.969 (33.314)	Prec@5 65.625 (63.705)
Epoch: [8][1740/14090]	Time 0.755 (0.765)	Data 0.001 (0.003)	Loss 2.7580 (2.8050)	Prec@1 37.500 (33.320)	Prec@5 65.625 (63.710)
Epoch: [8][1750/14090]	Time 0.758 (0.765)	Data 0.001 (0.003)	Loss 2.8850 (2.8051)	Prec@1 31.250 (33.318)	Prec@5 66.406 (63.703)
Epoch: [8][1760/14090]	Time 0.745 (0.765)	Data 0.001 (0.003)	Loss 2.7738 (2.8048)	Prec@1 36.719 (33.332)	Prec@5 62.500 (63.719)
Epoch: [8][1770/14090]	Time 0.842 (0.765)	Data 0.001 (0.003)	Loss 2.5154 (2.8048)	Prec@1 39.062 (33.330)	Prec@5 67.188 (63.720)
Epoch: [8][1780/14090]	Time 0.725 (0.765)	Data 0.001 (0.003)	Loss 2.7801 (2.8048)	Prec@1 33.594 (33.332)	Prec@5 65.625 (63.717)
Epoch: [8][1790/14090]	Time 0.770 (0.765)	Data 0.001 (0.003)	Loss 2.8663 (2.8051)	Prec@1 33.594 (33.323)	Prec@5 64.062 (63.709)
Epoch: [8][1800/14090]	Time 0.765 (0.765)	Data 0.001 (0.003)	Loss 3.0628 (2.8052)	Prec@1 23.438 (33.314)	Prec@5 57.031 (63.704)
Epoch: [8][1810/14090]	Time 0.754 (0.765)	Data 0.001 (0.003)	Loss 2.7074 (2.8056)	Prec@1 34.375 (33.308)	Prec@5 64.062 (63.688)
Epoch: [8][1820/14090]	Time 0.744 (0.765)	Data 0.001 (0.003)	Loss 2.9566 (2.8056)	Prec@1 30.469 (33.314)	Prec@5 60.938 (63.691)
Epoch: [8][1830/14090]	Time 0.735 (0.765)	Data 0.001 (0.003)	Loss 2.8648 (2.8055)	Prec@1 35.156 (33.317)	Prec@5 66.406 (63.695)
Epoch: [8][1840/14090]	Time 0.871 (0.765)	Data 0.001 (0.003)	Loss 2.6936 (2.8064)	Prec@1 35.156 (33.292)	Prec@5 67.188 (63.680)
Epoch: [8][1850/14090]	Time 0.745 (0.765)	Data 0.001 (0.003)	Loss 2.5226 (2.8068)	Prec@1 35.156 (33.280)	Prec@5 67.188 (63.668)
Epoch: [8][1860/14090]	Time 0.726 (0.765)	Data 0.001 (0.003)	Loss 2.8281 (2.8071)	Prec@1 37.500 (33.277)	Prec@5 64.844 (63.655)
Epoch: [8][1870/14090]	Time 0.732 (0.765)	Data 0.001 (0.003)	Loss 2.9551 (2.8072)	Prec@1 28.125 (33.268)	Prec@5 62.500 (63.657)
Epoch: [8][1880/14090]	Time 0.747 (0.765)	Data 0.001 (0.003)	Loss 2.7057 (2.8071)	Prec@1 30.469 (33.272)	Prec@5 67.188 (63.653)
Epoch: [8][1890/14090]	Time 0.726 (0.765)	Data 0.001 (0.003)	Loss 2.7685 (2.8071)	Prec@1 35.156 (33.280)	Prec@5 63.281 (63.653)
Epoch: [8][1900/14090]	Time 0.757 (0.765)	Data 0.001 (0.003)	Loss 3.0834 (2.8071)	Prec@1 28.125 (33.279)	Prec@5 62.500 (63.653)
Epoch: [8][1910/14090]	Time 0.850 (0.765)	Data 0.001 (0.003)	Loss 2.7285 (2.8070)	Prec@1 30.469 (33.283)	Prec@5 69.531 (63.651)
Epoch: [8][1920/14090]	Time 0.724 (0.765)	Data 0.001 (0.003)	Loss 2.7509 (2.8070)	Prec@1 34.375 (33.281)	Prec@5 65.625 (63.655)
Epoch: [8][1930/14090]	Time 0.740 (0.765)	Data 0.001 (0.003)	Loss 2.8594 (2.8075)	Prec@1 29.688 (33.271)	Prec@5 59.375 (63.645)
Epoch: [8][1940/14090]	Time 0.734 (0.765)	Data 0.001 (0.003)	Loss 2.5386 (2.8070)	Prec@1 39.062 (33.279)	Prec@5 66.406 (63.657)
Epoch: [8][1950/14090]	Time 0.774 (0.765)	Data 0.001 (0.003)	Loss 2.6765 (2.8071)	Prec@1 33.594 (33.277)	Prec@5 67.188 (63.652)
Epoch: [8][1960/14090]	Time 0.727 (0.765)	Data 0.001 (0.003)	Loss 2.6466 (2.8072)	Prec@1 38.281 (33.281)	Prec@5 67.969 (63.659)
Epoch: [8][1970/14090]	Time 0.722 (0.765)	Data 0.001 (0.003)	Loss 2.8212 (2.8070)	Prec@1 31.250 (33.287)	Prec@5 62.500 (63.658)
Epoch: [8][1980/14090]	Time 0.844 (0.765)	Data 0.001 (0.003)	Loss 2.6244 (2.8067)	Prec@1 33.594 (33.292)	Prec@5 67.969 (63.661)
Epoch: [8][1990/14090]	Time 0.735 (0.765)	Data 0.001 (0.003)	Loss 2.8078 (2.8067)	Prec@1 32.031 (33.288)	Prec@5 60.156 (63.660)
Epoch: [8][2000/14090]	Time 0.752 (0.765)	Data 0.001 (0.003)	Loss 2.8470 (2.8066)	Prec@1 31.250 (33.293)	Prec@5 66.406 (63.665)
Epoch: [8][2010/14090]	Time 0.728 (0.765)	Data 0.001 (0.003)	Loss 2.8316 (2.8065)	Prec@1 34.375 (33.292)	Prec@5 65.625 (63.667)
Epoch: [8][2020/14090]	Time 0.727 (0.765)	Data 0.001 (0.003)	Loss 2.4383 (2.8059)	Prec@1 42.188 (33.308)	Prec@5 72.656 (63.676)
Epoch: [8][2030/14090]	Time 0.727 (0.765)	Data 0.001 (0.003)	Loss 3.2195 (2.8063)	Prec@1 28.906 (33.303)	Prec@5 54.688 (63.666)
Epoch: [8][2040/14090]	Time 0.769 (0.765)	Data 0.001 (0.003)	Loss 2.8548 (2.8069)	Prec@1 29.688 (33.302)	Prec@5 62.500 (63.654)
Epoch: [8][2050/14090]	Time 0.872 (0.765)	Data 0.001 (0.003)	Loss 2.7052 (2.8070)	Prec@1 32.812 (33.292)	Prec@5 67.969 (63.651)
Epoch: [8][2060/14090]	Time 0.751 (0.765)	Data 0.001 (0.003)	Loss 2.6811 (2.8067)	Prec@1 34.375 (33.296)	Prec@5 65.625 (63.654)
Epoch: [8][2070/14090]	Time 0.767 (0.765)	Data 0.001 (0.003)	Loss 2.7313 (2.8068)	Prec@1 30.469 (33.293)	Prec@5 66.406 (63.654)
Epoch: [8][2080/14090]	Time 0.751 (0.765)	Data 0.001 (0.003)	Loss 2.3473 (2.8064)	Prec@1 38.281 (33.297)	Prec@5 75.000 (63.661)
Epoch: [8][2090/14090]	Time 0.727 (0.765)	Data 0.001 (0.003)	Loss 2.9665 (2.8065)	Prec@1 33.594 (33.292)	Prec@5 62.500 (63.657)
Epoch: [8][2100/14090]	Time 0.761 (0.765)	Data 0.001 (0.002)	Loss 2.8171 (2.8066)	Prec@1 34.375 (33.290)	Prec@5 64.062 (63.659)
Epoch: [8][2110/14090]	Time 0.728 (0.765)	Data 0.001 (0.002)	Loss 2.7870 (2.8065)	Prec@1 37.500 (33.298)	Prec@5 60.156 (63.662)
Epoch: [8][2120/14090]	Time 0.921 (0.765)	Data 0.001 (0.002)	Loss 2.7416 (2.8062)	Prec@1 32.031 (33.303)	Prec@5 63.281 (63.667)
Epoch: [8][2130/14090]	Time 0.727 (0.765)	Data 0.001 (0.002)	Loss 2.7077 (2.8063)	Prec@1 35.938 (33.310)	Prec@5 62.500 (63.667)
Epoch: [8][2140/14090]	Time 0.747 (0.765)	Data 0.001 (0.002)	Loss 2.6020 (2.8058)	Prec@1 35.156 (33.315)	Prec@5 65.625 (63.679)
Epoch: [8][2150/14090]	Time 0.739 (0.765)	Data 0.001 (0.002)	Loss 2.6552 (2.8055)	Prec@1 39.062 (33.327)	Prec@5 66.406 (63.682)
Epoch: [8][2160/14090]	Time 0.729 (0.765)	Data 0.001 (0.002)	Loss 2.6927 (2.8055)	Prec@1 36.719 (33.332)	Prec@5 66.406 (63.687)
Epoch: [8][2170/14090]	Time 0.728 (0.765)	Data 0.001 (0.002)	Loss 2.9020 (2.8054)	Prec@1 32.031 (33.326)	Prec@5 57.812 (63.689)
Epoch: [8][2180/14090]	Time 0.731 (0.765)	Data 0.001 (0.002)	Loss 2.8492 (2.8055)	Prec@1 27.344 (33.324)	Prec@5 65.625 (63.684)
Epoch: [8][2190/14090]	Time 0.832 (0.765)	Data 0.001 (0.002)	Loss 3.0733 (2.8054)	Prec@1 28.906 (33.325)	Prec@5 57.812 (63.681)
Epoch: [8][2200/14090]	Time 0.750 (0.765)	Data 0.001 (0.002)	Loss 2.7839 (2.8052)	Prec@1 29.688 (33.329)	Prec@5 60.938 (63.683)
Epoch: [8][2210/14090]	Time 0.738 (0.764)	Data 0.001 (0.002)	Loss 3.0646 (2.8054)	Prec@1 25.781 (33.325)	Prec@5 52.344 (63.679)
Epoch: [8][2220/14090]	Time 0.739 (0.764)	Data 0.001 (0.002)	Loss 2.8942 (2.8056)	Prec@1 30.469 (33.313)	Prec@5 64.062 (63.674)
Epoch: [8][2230/14090]	Time 0.769 (0.764)	Data 0.001 (0.002)	Loss 2.7739 (2.8055)	Prec@1 35.156 (33.310)	Prec@5 63.281 (63.673)
Epoch: [8][2240/14090]	Time 0.756 (0.764)	Data 0.001 (0.002)	Loss 2.7577 (2.8058)	Prec@1 35.156 (33.300)	Prec@5 67.188 (63.670)
Epoch: [8][2250/14090]	Time 0.748 (0.764)	Data 0.001 (0.002)	Loss 2.9410 (2.8057)	Prec@1 36.719 (33.316)	Prec@5 62.500 (63.677)
Epoch: [8][2260/14090]	Time 0.898 (0.764)	Data 0.001 (0.002)	Loss 2.5142 (2.8055)	Prec@1 36.719 (33.317)	Prec@5 68.750 (63.684)
Epoch: [8][2270/14090]	Time 0.772 (0.764)	Data 0.001 (0.002)	Loss 2.8578 (2.8054)	Prec@1 33.594 (33.315)	Prec@5 64.844 (63.693)
Epoch: [8][2280/14090]	Time 0.733 (0.764)	Data 0.001 (0.002)	Loss 2.8945 (2.8054)	Prec@1 32.812 (33.316)	Prec@5 66.406 (63.694)
Epoch: [8][2290/14090]	Time 0.756 (0.764)	Data 0.001 (0.002)	Loss 2.8309 (2.8058)	Prec@1 35.156 (33.311)	Prec@5 64.844 (63.693)
Epoch: [8][2300/14090]	Time 0.742 (0.764)	Data 0.001 (0.002)	Loss 2.5800 (2.8056)	Prec@1 36.719 (33.318)	Prec@5 71.875 (63.700)
Epoch: [8][2310/14090]	Time 0.753 (0.764)	Data 0.001 (0.002)	Loss 3.0890 (2.8055)	Prec@1 28.125 (33.324)	Prec@5 59.375 (63.700)
Epoch: [8][2320/14090]	Time 0.729 (0.764)	Data 0.001 (0.002)	Loss 2.8739 (2.8053)	Prec@1 25.781 (33.324)	Prec@5 61.719 (63.696)
Epoch: [8][2330/14090]	Time 0.874 (0.764)	Data 0.001 (0.002)	Loss 2.8807 (2.8051)	Prec@1 41.406 (33.334)	Prec@5 64.062 (63.700)
Epoch: [8][2340/14090]	Time 0.757 (0.764)	Data 0.001 (0.002)	Loss 2.8285 (2.8052)	Prec@1 32.031 (33.328)	Prec@5 64.844 (63.700)
Epoch: [8][2350/14090]	Time 0.736 (0.764)	Data 0.001 (0.002)	Loss 2.5787 (2.8053)	Prec@1 39.062 (33.328)	Prec@5 65.625 (63.700)
Epoch: [8][2360/14090]	Time 0.749 (0.764)	Data 0.001 (0.002)	Loss 2.9159 (2.8054)	Prec@1 28.125 (33.328)	Prec@5 64.844 (63.702)
Epoch: [8][2370/14090]	Time 0.740 (0.764)	Data 0.001 (0.002)	Loss 2.7675 (2.8050)	Prec@1 31.250 (33.335)	Prec@5 62.500 (63.711)
Epoch: [8][2380/14090]	Time 0.755 (0.764)	Data 0.001 (0.002)	Loss 2.7766 (2.8047)	Prec@1 34.375 (33.339)	Prec@5 64.062 (63.724)
Epoch: [8][2390/14090]	Time 0.767 (0.764)	Data 0.001 (0.002)	Loss 2.8884 (2.8049)	Prec@1 29.688 (33.330)	Prec@5 64.062 (63.716)
Epoch: [8][2400/14090]	Time 0.840 (0.764)	Data 0.001 (0.002)	Loss 2.6374 (2.8049)	Prec@1 37.500 (33.333)	Prec@5 63.281 (63.722)
Epoch: [8][2410/14090]	Time 0.738 (0.764)	Data 0.001 (0.002)	Loss 2.4867 (2.8046)	Prec@1 41.406 (33.336)	Prec@5 73.438 (63.722)
Epoch: [8][2420/14090]	Time 0.733 (0.764)	Data 0.001 (0.002)	Loss 2.9826 (2.8046)	Prec@1 32.031 (33.340)	Prec@5 60.156 (63.721)
Epoch: [8][2430/14090]	Time 0.727 (0.764)	Data 0.001 (0.002)	Loss 2.9412 (2.8047)	Prec@1 30.469 (33.341)	Prec@5 61.719 (63.713)
Epoch: [8][2440/14090]	Time 0.736 (0.764)	Data 0.001 (0.002)	Loss 2.7349 (2.8050)	Prec@1 32.812 (33.336)	Prec@5 61.719 (63.706)
Epoch: [8][2450/14090]	Time 0.737 (0.764)	Data 0.001 (0.002)	Loss 2.6025 (2.8051)	Prec@1 35.938 (33.340)	Prec@5 71.094 (63.701)
Epoch: [8][2460/14090]	Time 0.719 (0.764)	Data 0.001 (0.002)	Loss 3.0164 (2.8051)	Prec@1 25.781 (33.339)	Prec@5 57.812 (63.699)
Epoch: [8][2470/14090]	Time 0.834 (0.764)	Data 0.001 (0.002)	Loss 2.6838 (2.8048)	Prec@1 35.938 (33.343)	Prec@5 68.750 (63.706)
Epoch: [8][2480/14090]	Time 0.748 (0.764)	Data 0.001 (0.002)	Loss 2.6979 (2.8049)	Prec@1 30.469 (33.338)	Prec@5 66.406 (63.708)
Epoch: [8][2490/14090]	Time 0.745 (0.764)	Data 0.001 (0.002)	Loss 2.7110 (2.8047)	Prec@1 34.375 (33.341)	Prec@5 63.281 (63.720)
Epoch: [8][2500/14090]	Time 0.764 (0.764)	Data 0.001 (0.002)	Loss 3.0510 (2.8047)	Prec@1 30.469 (33.336)	Prec@5 58.594 (63.718)
Epoch: [8][2510/14090]	Time 0.754 (0.764)	Data 0.001 (0.002)	Loss 2.9486 (2.8047)	Prec@1 32.812 (33.343)	Prec@5 60.938 (63.719)
Epoch: [8][2520/14090]	Time 0.727 (0.764)	Data 0.001 (0.002)	Loss 2.8264 (2.8049)	Prec@1 33.594 (33.340)	Prec@5 61.719 (63.714)
Epoch: [8][2530/14090]	Time 0.744 (0.764)	Data 0.001 (0.002)	Loss 2.8465 (2.8052)	Prec@1 33.594 (33.335)	Prec@5 70.312 (63.713)
Epoch: [8][2540/14090]	Time 0.865 (0.764)	Data 0.001 (0.002)	Loss 2.5350 (2.8053)	Prec@1 39.062 (33.335)	Prec@5 67.969 (63.710)
Epoch: [8][2550/14090]	Time 0.753 (0.764)	Data 0.001 (0.002)	Loss 2.7371 (2.8054)	Prec@1 35.938 (33.337)	Prec@5 64.844 (63.710)
Epoch: [8][2560/14090]	Time 0.751 (0.764)	Data 0.001 (0.002)	Loss 2.8363 (2.8054)	Prec@1 34.375 (33.336)	Prec@5 60.156 (63.709)
Epoch: [8][2570/14090]	Time 0.763 (0.764)	Data 0.001 (0.002)	Loss 2.5511 (2.8057)	Prec@1 36.719 (33.329)	Prec@5 68.750 (63.704)
Epoch: [8][2580/14090]	Time 0.775 (0.764)	Data 0.001 (0.002)	Loss 3.1267 (2.8060)	Prec@1 25.000 (33.328)	Prec@5 56.250 (63.699)
Epoch: [8][2590/14090]	Time 0.741 (0.764)	Data 0.001 (0.002)	Loss 2.7138 (2.8059)	Prec@1 35.938 (33.331)	Prec@5 62.500 (63.703)
Epoch: [8][2600/14090]	Time 0.736 (0.764)	Data 0.001 (0.002)	Loss 2.9462 (2.8058)	Prec@1 28.906 (33.333)	Prec@5 62.500 (63.707)
Epoch: [8][2610/14090]	Time 0.932 (0.764)	Data 0.001 (0.002)	Loss 2.6094 (2.8057)	Prec@1 34.375 (33.331)	Prec@5 70.312 (63.707)
Epoch: [8][2620/14090]	Time 0.743 (0.764)	Data 0.001 (0.002)	Loss 2.9208 (2.8057)	Prec@1 31.250 (33.327)	Prec@5 59.375 (63.704)
Epoch: [8][2630/14090]	Time 0.726 (0.764)	Data 0.001 (0.002)	Loss 2.7126 (2.8057)	Prec@1 31.250 (33.320)	Prec@5 65.625 (63.701)
Epoch: [8][2640/14090]	Time 0.750 (0.764)	Data 0.001 (0.002)	Loss 2.5277 (2.8055)	Prec@1 40.625 (33.331)	Prec@5 68.750 (63.703)
Epoch: [8][2650/14090]	Time 0.764 (0.764)	Data 0.001 (0.002)	Loss 2.6516 (2.8054)	Prec@1 37.500 (33.337)	Prec@5 63.281 (63.705)
Epoch: [8][2660/14090]	Time 0.735 (0.764)	Data 0.001 (0.002)	Loss 2.7826 (2.8052)	Prec@1 33.594 (33.332)	Prec@5 64.844 (63.708)
Epoch: [8][2670/14090]	Time 0.753 (0.764)	Data 0.001 (0.002)	Loss 3.1102 (2.8054)	Prec@1 32.031 (33.331)	Prec@5 60.938 (63.705)
Epoch: [8][2680/14090]	Time 0.901 (0.764)	Data 0.001 (0.002)	Loss 2.6383 (2.8052)	Prec@1 34.375 (33.331)	Prec@5 66.406 (63.710)
Epoch: [8][2690/14090]	Time 0.739 (0.764)	Data 0.001 (0.002)	Loss 2.7783 (2.8049)	Prec@1 29.688 (33.333)	Prec@5 60.938 (63.714)
Epoch: [8][2700/14090]	Time 0.765 (0.764)	Data 0.001 (0.002)	Loss 2.6913 (2.8047)	Prec@1 39.062 (33.339)	Prec@5 60.938 (63.718)
Epoch: [8][2710/14090]	Time 0.737 (0.764)	Data 0.001 (0.002)	Loss 2.6097 (2.8043)	Prec@1 39.062 (33.350)	Prec@5 70.312 (63.726)
Epoch: [8][2720/14090]	Time 0.731 (0.764)	Data 0.001 (0.002)	Loss 3.1415 (2.8045)	Prec@1 28.906 (33.346)	Prec@5 53.906 (63.724)
Epoch: [8][2730/14090]	Time 0.734 (0.764)	Data 0.001 (0.002)	Loss 2.8183 (2.8046)	Prec@1 32.031 (33.346)	Prec@5 65.625 (63.726)
Epoch: [8][2740/14090]	Time 0.734 (0.764)	Data 0.001 (0.002)	Loss 2.6029 (2.8044)	Prec@1 35.938 (33.351)	Prec@5 67.188 (63.728)
Epoch: [8][2750/14090]	Time 0.870 (0.764)	Data 0.001 (0.002)	Loss 3.0613 (2.8045)	Prec@1 33.594 (33.352)	Prec@5 58.594 (63.726)
Epoch: [8][2760/14090]	Time 0.744 (0.764)	Data 0.001 (0.002)	Loss 2.8832 (2.8045)	Prec@1 30.469 (33.358)	Prec@5 67.969 (63.724)
Epoch: [8][2770/14090]	Time 0.736 (0.764)	Data 0.001 (0.002)	Loss 3.0053 (2.8045)	Prec@1 31.250 (33.358)	Prec@5 61.719 (63.721)
Epoch: [8][2780/14090]	Time 0.740 (0.764)	Data 0.001 (0.002)	Loss 2.8353 (2.8043)	Prec@1 37.500 (33.366)	Prec@5 60.938 (63.727)
Epoch: [8][2790/14090]	Time 0.747 (0.764)	Data 0.001 (0.002)	Loss 2.9463 (2.8043)	Prec@1 31.250 (33.365)	Prec@5 56.250 (63.726)
Epoch: [8][2800/14090]	Time 0.773 (0.764)	Data 0.001 (0.002)	Loss 2.7692 (2.8043)	Prec@1 35.938 (33.370)	Prec@5 67.188 (63.728)
Epoch: [8][2810/14090]	Time 0.752 (0.764)	Data 0.001 (0.002)	Loss 2.8460 (2.8043)	Prec@1 38.281 (33.374)	Prec@5 61.719 (63.729)
Epoch: [8][2820/14090]	Time 0.835 (0.764)	Data 0.001 (0.002)	Loss 2.6420 (2.8042)	Prec@1 41.406 (33.377)	Prec@5 71.094 (63.737)
Epoch: [8][2830/14090]	Time 0.770 (0.764)	Data 0.001 (0.002)	Loss 2.7367 (2.8041)	Prec@1 32.031 (33.385)	Prec@5 64.062 (63.737)
Epoch: [8][2840/14090]	Time 0.746 (0.764)	Data 0.001 (0.002)	Loss 2.7433 (2.8040)	Prec@1 34.375 (33.383)	Prec@5 61.719 (63.736)
Epoch: [8][2850/14090]	Time 0.728 (0.764)	Data 0.002 (0.002)	Loss 2.7641 (2.8043)	Prec@1 31.250 (33.371)	Prec@5 64.062 (63.733)
Epoch: [8][2860/14090]	Time 0.740 (0.764)	Data 0.001 (0.002)	Loss 2.8806 (2.8037)	Prec@1 28.125 (33.380)	Prec@5 60.938 (63.744)
Epoch: [8][2870/14090]	Time 0.743 (0.764)	Data 0.001 (0.002)	Loss 2.8571 (2.8036)	Prec@1 33.594 (33.380)	Prec@5 64.062 (63.742)
Epoch: [8][2880/14090]	Time 0.743 (0.764)	Data 0.001 (0.002)	Loss 2.8495 (2.8037)	Prec@1 31.250 (33.382)	Prec@5 64.062 (63.740)
Epoch: [8][2890/14090]	Time 0.881 (0.764)	Data 0.001 (0.002)	Loss 2.3914 (2.8034)	Prec@1 37.500 (33.387)	Prec@5 71.875 (63.753)
Epoch: [8][2900/14090]	Time 0.759 (0.764)	Data 0.001 (0.002)	Loss 2.7319 (2.8036)	Prec@1 35.938 (33.388)	Prec@5 60.938 (63.742)
Epoch: [8][2910/14090]	Time 0.770 (0.764)	Data 0.001 (0.002)	Loss 2.6842 (2.8034)	Prec@1 37.500 (33.394)	Prec@5 63.281 (63.741)
Epoch: [8][2920/14090]	Time 0.747 (0.764)	Data 0.001 (0.002)	Loss 2.7841 (2.8035)	Prec@1 32.031 (33.396)	Prec@5 62.500 (63.738)
Epoch: [8][2930/14090]	Time 0.735 (0.764)	Data 0.001 (0.002)	Loss 2.5814 (2.8034)	Prec@1 39.844 (33.402)	Prec@5 64.844 (63.737)
Epoch: [8][2940/14090]	Time 0.764 (0.764)	Data 0.001 (0.002)	Loss 2.9621 (2.8036)	Prec@1 30.469 (33.399)	Prec@5 60.156 (63.733)
Epoch: [8][2950/14090]	Time 0.732 (0.764)	Data 0.001 (0.002)	Loss 2.9991 (2.8037)	Prec@1 32.031 (33.399)	Prec@5 63.281 (63.730)
Epoch: [8][2960/14090]	Time 0.866 (0.764)	Data 0.001 (0.002)	Loss 2.6997 (2.8040)	Prec@1 34.375 (33.396)	Prec@5 68.750 (63.727)
Epoch: [8][2970/14090]	Time 0.756 (0.764)	Data 0.001 (0.002)	Loss 2.8027 (2.8039)	Prec@1 34.375 (33.405)	Prec@5 63.281 (63.730)
Epoch: [8][2980/14090]	Time 0.751 (0.764)	Data 0.001 (0.002)	Loss 2.4726 (2.8037)	Prec@1 39.062 (33.406)	Prec@5 76.562 (63.730)
Epoch: [8][2990/14090]	Time 0.754 (0.764)	Data 0.001 (0.002)	Loss 2.6070 (2.8038)	Prec@1 38.281 (33.407)	Prec@5 67.188 (63.727)
Epoch: [8][3000/14090]	Time 0.736 (0.764)	Data 0.001 (0.002)	Loss 2.5669 (2.8036)	Prec@1 35.156 (33.416)	Prec@5 67.188 (63.734)
Epoch: [8][3010/14090]	Time 0.729 (0.764)	Data 0.001 (0.002)	Loss 2.6730 (2.8037)	Prec@1 34.375 (33.413)	Prec@5 64.062 (63.732)
Epoch: [8][3020/14090]	Time 0.740 (0.764)	Data 0.001 (0.002)	Loss 2.4435 (2.8035)	Prec@1 40.625 (33.413)	Prec@5 71.875 (63.732)
Epoch: [8][3030/14090]	Time 0.861 (0.764)	Data 0.001 (0.002)	Loss 2.8932 (2.8035)	Prec@1 35.938 (33.417)	Prec@5 61.719 (63.735)
Epoch: [8][3040/14090]	Time 0.752 (0.764)	Data 0.001 (0.002)	Loss 3.0519 (2.8034)	Prec@1 28.125 (33.419)	Prec@5 61.719 (63.736)
Epoch: [8][3050/14090]	Time 0.723 (0.764)	Data 0.001 (0.002)	Loss 2.7049 (2.8031)	Prec@1 40.625 (33.426)	Prec@5 65.625 (63.738)
Epoch: [8][3060/14090]	Time 0.777 (0.764)	Data 0.001 (0.002)	Loss 3.0508 (2.8031)	Prec@1 33.594 (33.425)	Prec@5 60.156 (63.738)
Epoch: [8][3070/14090]	Time 0.739 (0.764)	Data 0.001 (0.002)	Loss 2.7545 (2.8030)	Prec@1 32.812 (33.433)	Prec@5 69.531 (63.738)
Epoch: [8][3080/14090]	Time 0.726 (0.764)	Data 0.001 (0.002)	Loss 2.7113 (2.8029)	Prec@1 36.719 (33.436)	Prec@5 60.156 (63.743)
Epoch: [8][3090/14090]	Time 0.742 (0.764)	Data 0.001 (0.002)	Loss 2.5403 (2.8027)	Prec@1 39.062 (33.439)	Prec@5 67.969 (63.748)
Epoch: [8][3100/14090]	Time 0.862 (0.764)	Data 0.001 (0.002)	Loss 2.8729 (2.8026)	Prec@1 33.594 (33.441)	Prec@5 64.062 (63.754)
Epoch: [8][3110/14090]	Time 0.744 (0.764)	Data 0.001 (0.002)	Loss 2.4965 (2.8026)	Prec@1 33.594 (33.437)	Prec@5 67.969 (63.755)
Epoch: [8][3120/14090]	Time 0.775 (0.764)	Data 0.001 (0.002)	Loss 2.7790 (2.8025)	Prec@1 32.031 (33.437)	Prec@5 62.500 (63.751)
Epoch: [8][3130/14090]	Time 0.756 (0.764)	Data 0.001 (0.002)	Loss 2.7355 (2.8025)	Prec@1 32.031 (33.432)	Prec@5 64.062 (63.752)
Epoch: [8][3140/14090]	Time 0.750 (0.764)	Data 0.001 (0.002)	Loss 2.8047 (2.8025)	Prec@1 35.938 (33.433)	Prec@5 66.406 (63.754)
Epoch: [8][3150/14090]	Time 0.727 (0.764)	Data 0.001 (0.002)	Loss 2.6713 (2.8024)	Prec@1 35.938 (33.431)	Prec@5 64.062 (63.759)
Epoch: [8][3160/14090]	Time 0.740 (0.764)	Data 0.001 (0.002)	Loss 2.5986 (2.8021)	Prec@1 42.969 (33.438)	Prec@5 65.625 (63.765)
Epoch: [8][3170/14090]	Time 0.827 (0.764)	Data 0.001 (0.002)	Loss 2.6022 (2.8021)	Prec@1 32.812 (33.435)	Prec@5 67.969 (63.763)
Epoch: [8][3180/14090]	Time 0.719 (0.764)	Data 0.001 (0.002)	Loss 2.4031 (2.8019)	Prec@1 41.406 (33.440)	Prec@5 74.219 (63.769)
Epoch: [8][3190/14090]	Time 0.772 (0.764)	Data 0.001 (0.002)	Loss 2.7870 (2.8016)	Prec@1 31.250 (33.440)	Prec@5 61.719 (63.775)
Epoch: [8][3200/14090]	Time 0.748 (0.764)	Data 0.001 (0.002)	Loss 3.1918 (2.8017)	Prec@1 21.875 (33.440)	Prec@5 56.250 (63.772)
Epoch: [8][3210/14090]	Time 0.739 (0.764)	Data 0.001 (0.002)	Loss 2.9421 (2.8015)	Prec@1 26.562 (33.442)	Prec@5 61.719 (63.770)
Epoch: [8][3220/14090]	Time 0.726 (0.764)	Data 0.001 (0.002)	Loss 2.8010 (2.8016)	Prec@1 32.812 (33.439)	Prec@5 64.062 (63.767)
Epoch: [8][3230/14090]	Time 0.773 (0.764)	Data 0.001 (0.002)	Loss 3.0820 (2.8019)	Prec@1 28.125 (33.436)	Prec@5 57.031 (63.759)
Epoch: [8][3240/14090]	Time 0.860 (0.764)	Data 0.001 (0.002)	Loss 2.9217 (2.8022)	Prec@1 32.031 (33.429)	Prec@5 60.938 (63.752)
Epoch: [8][3250/14090]	Time 0.732 (0.764)	Data 0.001 (0.002)	Loss 2.9061 (2.8024)	Prec@1 32.031 (33.431)	Prec@5 60.156 (63.748)
Epoch: [8][3260/14090]	Time 0.741 (0.764)	Data 0.001 (0.002)	Loss 2.7939 (2.8027)	Prec@1 33.594 (33.425)	Prec@5 64.844 (63.749)
Epoch: [8][3270/14090]	Time 0.774 (0.764)	Data 0.001 (0.002)	Loss 2.8761 (2.8028)	Prec@1 35.938 (33.429)	Prec@5 57.812 (63.743)
Epoch: [8][3280/14090]	Time 0.754 (0.764)	Data 0.001 (0.002)	Loss 2.6888 (2.8031)	Prec@1 34.375 (33.421)	Prec@5 67.969 (63.740)
Epoch: [8][3290/14090]	Time 0.750 (0.764)	Data 0.001 (0.002)	Loss 2.8349 (2.8029)	Prec@1 29.688 (33.428)	Prec@5 57.812 (63.742)
Epoch: [8][3300/14090]	Time 0.744 (0.764)	Data 0.001 (0.002)	Loss 2.8716 (2.8028)	Prec@1 32.031 (33.428)	Prec@5 60.938 (63.745)
Epoch: [8][3310/14090]	Time 0.871 (0.764)	Data 0.001 (0.002)	Loss 2.6609 (2.8027)	Prec@1 38.281 (33.430)	Prec@5 65.625 (63.747)
Epoch: [8][3320/14090]	Time 0.721 (0.764)	Data 0.001 (0.002)	Loss 2.9303 (2.8029)	Prec@1 25.000 (33.428)	Prec@5 62.500 (63.741)
Epoch: [8][3330/14090]	Time 0.759 (0.764)	Data 0.001 (0.002)	Loss 3.0283 (2.8030)	Prec@1 37.500 (33.426)	Prec@5 59.375 (63.745)
Epoch: [8][3340/14090]	Time 0.739 (0.764)	Data 0.001 (0.002)	Loss 2.5642 (2.8028)	Prec@1 42.188 (33.427)	Prec@5 67.969 (63.751)
Epoch: [8][3350/14090]	Time 0.744 (0.764)	Data 0.001 (0.002)	Loss 2.9387 (2.8025)	Prec@1 27.344 (33.432)	Prec@5 62.500 (63.755)
Epoch: [8][3360/14090]	Time 0.756 (0.764)	Data 0.001 (0.002)	Loss 3.1240 (2.8026)	Prec@1 25.000 (33.427)	Prec@5 53.906 (63.751)
Epoch: [8][3370/14090]	Time 0.774 (0.764)	Data 0.001 (0.002)	Loss 2.8342 (2.8028)	Prec@1 29.688 (33.418)	Prec@5 64.844 (63.749)
Epoch: [8][3380/14090]	Time 0.833 (0.764)	Data 0.001 (0.002)	Loss 2.8977 (2.8029)	Prec@1 32.812 (33.418)	Prec@5 57.812 (63.744)
Epoch: [8][3390/14090]	Time 0.731 (0.764)	Data 0.001 (0.002)	Loss 2.9736 (2.8029)	Prec@1 31.250 (33.416)	Prec@5 61.719 (63.745)
Epoch: [8][3400/14090]	Time 0.760 (0.764)	Data 0.001 (0.002)	Loss 2.3452 (2.8026)	Prec@1 42.188 (33.423)	Prec@5 70.312 (63.752)
Epoch: [8][3410/14090]	Time 0.755 (0.764)	Data 0.002 (0.002)	Loss 2.7608 (2.8027)	Prec@1 30.469 (33.429)	Prec@5 69.531 (63.751)
Epoch: [8][3420/14090]	Time 0.728 (0.764)	Data 0.001 (0.002)	Loss 2.9627 (2.8026)	Prec@1 25.781 (33.430)	Prec@5 60.938 (63.755)
Epoch: [8][3430/14090]	Time 0.773 (0.764)	Data 0.001 (0.002)	Loss 2.6002 (2.8026)	Prec@1 42.188 (33.433)	Prec@5 65.625 (63.756)
Epoch: [8][3440/14090]	Time 0.733 (0.764)	Data 0.001 (0.002)	Loss 2.8134 (2.8025)	Prec@1 35.938 (33.431)	Prec@5 61.719 (63.759)
Epoch: [8][3450/14090]	Time 0.866 (0.764)	Data 0.001 (0.002)	Loss 2.4719 (2.8027)	Prec@1 42.188 (33.426)	Prec@5 71.094 (63.752)
Epoch: [8][3460/14090]	Time 0.723 (0.764)	Data 0.001 (0.002)	Loss 2.6054 (2.8024)	Prec@1 35.156 (33.430)	Prec@5 66.406 (63.759)
Epoch: [8][3470/14090]	Time 0.723 (0.764)	Data 0.001 (0.002)	Loss 2.7238 (2.8025)	Prec@1 34.375 (33.435)	Prec@5 67.188 (63.759)
Epoch: [8][3480/14090]	Time 0.752 (0.764)	Data 0.001 (0.002)	Loss 2.9773 (2.8023)	Prec@1 36.719 (33.445)	Prec@5 57.031 (63.762)
Epoch: [8][3490/14090]	Time 0.767 (0.764)	Data 0.001 (0.002)	Loss 2.7916 (2.8023)	Prec@1 25.000 (33.442)	Prec@5 67.188 (63.760)
Epoch: [8][3500/14090]	Time 0.750 (0.764)	Data 0.001 (0.002)	Loss 2.8016 (2.8025)	Prec@1 32.031 (33.439)	Prec@5 61.719 (63.756)
Epoch: [8][3510/14090]	Time 0.741 (0.764)	Data 0.001 (0.002)	Loss 2.5810 (2.8025)	Prec@1 43.750 (33.445)	Prec@5 65.625 (63.758)
Epoch: [8][3520/14090]	Time 0.831 (0.764)	Data 0.001 (0.002)	Loss 2.8387 (2.8027)	Prec@1 34.375 (33.443)	Prec@5 59.375 (63.753)
Epoch: [8][3530/14090]	Time 0.742 (0.764)	Data 0.001 (0.002)	Loss 2.7264 (2.8027)	Prec@1 37.500 (33.441)	Prec@5 64.062 (63.756)
Epoch: [8][3540/14090]	Time 0.724 (0.764)	Data 0.001 (0.002)	Loss 2.5651 (2.8025)	Prec@1 40.625 (33.439)	Prec@5 66.406 (63.758)
Epoch: [8][3550/14090]	Time 0.729 (0.764)	Data 0.001 (0.002)	Loss 2.7463 (2.8024)	Prec@1 35.156 (33.444)	Prec@5 67.969 (63.764)
Epoch: [8][3560/14090]	Time 0.747 (0.764)	Data 0.001 (0.002)	Loss 3.1198 (2.8024)	Prec@1 25.781 (33.444)	Prec@5 53.906 (63.761)
Epoch: [8][3570/14090]	Time 0.724 (0.764)	Data 0.001 (0.002)	Loss 2.2818 (2.8025)	Prec@1 39.844 (33.444)	Prec@5 75.781 (63.760)
Epoch: [8][3580/14090]	Time 0.742 (0.764)	Data 0.001 (0.002)	Loss 2.9023 (2.8026)	Prec@1 37.500 (33.442)	Prec@5 65.625 (63.761)
Epoch: [8][3590/14090]	Time 0.902 (0.764)	Data 0.001 (0.002)	Loss 3.0602 (2.8025)	Prec@1 32.031 (33.444)	Prec@5 57.031 (63.765)
Epoch: [8][3600/14090]	Time 0.746 (0.764)	Data 0.001 (0.002)	Loss 2.8333 (2.8026)	Prec@1 32.031 (33.438)	Prec@5 68.750 (63.764)
Epoch: [8][3610/14090]	Time 0.745 (0.764)	Data 0.001 (0.002)	Loss 2.6737 (2.8028)	Prec@1 36.719 (33.435)	Prec@5 65.625 (63.756)
Epoch: [8][3620/14090]	Time 0.766 (0.764)	Data 0.001 (0.002)	Loss 2.5036 (2.8028)	Prec@1 35.156 (33.436)	Prec@5 67.969 (63.754)
Epoch: [8][3630/14090]	Time 0.750 (0.764)	Data 0.001 (0.002)	Loss 2.6581 (2.8028)	Prec@1 42.969 (33.435)	Prec@5 67.969 (63.751)
Epoch: [8][3640/14090]	Time 0.759 (0.764)	Data 0.001 (0.002)	Loss 2.6048 (2.8027)	Prec@1 40.625 (33.435)	Prec@5 67.188 (63.753)
Epoch: [8][3650/14090]	Time 0.743 (0.764)	Data 0.001 (0.002)	Loss 2.6214 (2.8028)	Prec@1 34.375 (33.431)	Prec@5 68.750 (63.754)
Epoch: [8][3660/14090]	Time 0.817 (0.764)	Data 0.001 (0.002)	Loss 2.3452 (2.8024)	Prec@1 42.188 (33.444)	Prec@5 72.656 (63.764)
Epoch: [8][3670/14090]	Time 0.761 (0.764)	Data 0.001 (0.002)	Loss 2.7363 (2.8024)	Prec@1 31.250 (33.443)	Prec@5 60.938 (63.759)
Epoch: [8][3680/14090]	Time 0.737 (0.764)	Data 0.001 (0.002)	Loss 2.5408 (2.8026)	Prec@1 42.188 (33.443)	Prec@5 71.094 (63.755)
Epoch: [8][3690/14090]	Time 0.733 (0.764)	Data 0.001 (0.002)	Loss 2.5621 (2.8025)	Prec@1 41.406 (33.446)	Prec@5 65.625 (63.756)
Epoch: [8][3700/14090]	Time 0.768 (0.764)	Data 0.001 (0.002)	Loss 2.5588 (2.8026)	Prec@1 36.719 (33.442)	Prec@5 67.969 (63.756)
Epoch: [8][3710/14090]	Time 0.760 (0.764)	Data 0.001 (0.002)	Loss 2.8421 (2.8028)	Prec@1 32.031 (33.435)	Prec@5 58.594 (63.751)
Epoch: [8][3720/14090]	Time 0.759 (0.764)	Data 0.001 (0.002)	Loss 2.6634 (2.8029)	Prec@1 35.938 (33.432)	Prec@5 61.719 (63.748)
Epoch: [8][3730/14090]	Time 0.847 (0.764)	Data 0.001 (0.002)	Loss 2.9674 (2.8027)	Prec@1 33.594 (33.436)	Prec@5 61.719 (63.750)
Epoch: [8][3740/14090]	Time 0.738 (0.764)	Data 0.001 (0.002)	Loss 2.8317 (2.8027)	Prec@1 27.344 (33.431)	Prec@5 59.375 (63.747)
Epoch: [8][3750/14090]	Time 0.732 (0.764)	Data 0.001 (0.002)	Loss 2.7226 (2.8029)	Prec@1 35.156 (33.430)	Prec@5 67.188 (63.748)
Epoch: [8][3760/14090]	Time 0.747 (0.764)	Data 0.001 (0.002)	Loss 3.0896 (2.8031)	Prec@1 32.812 (33.428)	Prec@5 57.812 (63.743)
Epoch: [8][3770/14090]	Time 0.733 (0.764)	Data 0.001 (0.002)	Loss 3.0416 (2.8029)	Prec@1 32.812 (33.430)	Prec@5 62.500 (63.749)
Epoch: [8][3780/14090]	Time 0.754 (0.764)	Data 0.001 (0.002)	Loss 2.5393 (2.8026)	Prec@1 32.031 (33.431)	Prec@5 71.094 (63.754)
Epoch: [8][3790/14090]	Time 0.762 (0.764)	Data 0.001 (0.002)	Loss 3.0608 (2.8027)	Prec@1 32.031 (33.432)	Prec@5 56.250 (63.750)
Epoch: [8][3800/14090]	Time 0.857 (0.764)	Data 0.001 (0.002)	Loss 2.8413 (2.8027)	Prec@1 31.250 (33.432)	Prec@5 67.188 (63.755)
Epoch: [8][3810/14090]	Time 0.752 (0.764)	Data 0.001 (0.002)	Loss 2.6670 (2.8026)	Prec@1 37.500 (33.433)	Prec@5 64.062 (63.754)
Epoch: [8][3820/14090]	Time 0.738 (0.764)	Data 0.001 (0.002)	Loss 2.9074 (2.8027)	Prec@1 25.781 (33.427)	Prec@5 59.375 (63.749)
Epoch: [8][3830/14090]	Time 0.797 (0.764)	Data 0.001 (0.002)	Loss 2.9346 (2.8025)	Prec@1 33.594 (33.434)	Prec@5 64.844 (63.758)
Epoch: [8][3840/14090]	Time 0.754 (0.764)	Data 0.001 (0.002)	Loss 2.5198 (2.8023)	Prec@1 43.750 (33.440)	Prec@5 69.531 (63.760)
Epoch: [8][3850/14090]	Time 0.736 (0.764)	Data 0.001 (0.002)	Loss 2.8748 (2.8024)	Prec@1 32.031 (33.441)	Prec@5 59.375 (63.754)
Epoch: [8][3860/14090]	Time 0.738 (0.764)	Data 0.001 (0.002)	Loss 2.8744 (2.8022)	Prec@1 32.812 (33.444)	Prec@5 61.719 (63.758)
Epoch: [8][3870/14090]	Time 0.852 (0.764)	Data 0.001 (0.002)	Loss 3.0630 (2.8024)	Prec@1 23.438 (33.438)	Prec@5 55.469 (63.756)
Epoch: [8][3880/14090]	Time 0.752 (0.764)	Data 0.001 (0.002)	Loss 3.0305 (2.8024)	Prec@1 31.250 (33.437)	Prec@5 61.719 (63.756)
Epoch: [8][3890/14090]	Time 0.749 (0.764)	Data 0.001 (0.002)	Loss 2.6307 (2.8025)	Prec@1 34.375 (33.435)	Prec@5 70.312 (63.753)
Epoch: [8][3900/14090]	Time 0.736 (0.764)	Data 0.001 (0.002)	Loss 2.7393 (2.8025)	Prec@1 36.719 (33.435)	Prec@5 64.062 (63.750)
Epoch: [8][3910/14090]	Time 0.727 (0.764)	Data 0.001 (0.002)	Loss 2.9704 (2.8026)	Prec@1 31.250 (33.433)	Prec@5 63.281 (63.745)
Epoch: [8][3920/14090]	Time 0.755 (0.764)	Data 0.001 (0.002)	Loss 2.6788 (2.8026)	Prec@1 35.156 (33.433)	Prec@5 66.406 (63.746)
Epoch: [8][3930/14090]	Time 0.748 (0.764)	Data 0.001 (0.002)	Loss 2.9535 (2.8029)	Prec@1 28.906 (33.423)	Prec@5 60.156 (63.739)
Epoch: [8][3940/14090]	Time 0.899 (0.764)	Data 0.001 (0.002)	Loss 2.8058 (2.8028)	Prec@1 28.906 (33.422)	Prec@5 65.625 (63.740)
Epoch: [8][3950/14090]	Time 0.732 (0.764)	Data 0.001 (0.002)	Loss 2.6760 (2.8029)	Prec@1 35.938 (33.421)	Prec@5 69.531 (63.738)
Epoch: [8][3960/14090]	Time 0.750 (0.764)	Data 0.001 (0.002)	Loss 2.8618 (2.8030)	Prec@1 36.719 (33.420)	Prec@5 64.062 (63.735)
Epoch: [8][3970/14090]	Time 0.779 (0.764)	Data 0.001 (0.002)	Loss 2.8610 (2.8032)	Prec@1 34.375 (33.414)	Prec@5 62.500 (63.733)
Epoch: [8][3980/14090]	Time 0.736 (0.764)	Data 0.001 (0.002)	Loss 2.9375 (2.8033)	Prec@1 32.031 (33.414)	Prec@5 60.156 (63.730)
Epoch: [8][3990/14090]	Time 0.754 (0.764)	Data 0.001 (0.002)	Loss 2.7962 (2.8032)	Prec@1 34.375 (33.417)	Prec@5 65.625 (63.730)
Epoch: [8][4000/14090]	Time 0.727 (0.764)	Data 0.001 (0.002)	Loss 2.7811 (2.8033)	Prec@1 31.250 (33.416)	Prec@5 64.844 (63.730)
Epoch: [8][4010/14090]	Time 0.877 (0.764)	Data 0.001 (0.002)	Loss 2.6328 (2.8031)	Prec@1 39.844 (33.421)	Prec@5 67.969 (63.732)
Epoch: [8][4020/14090]	Time 0.763 (0.764)	Data 0.001 (0.002)	Loss 2.9676 (2.8030)	Prec@1 24.219 (33.421)	Prec@5 57.812 (63.737)
Epoch: [8][4030/14090]	Time 0.768 (0.764)	Data 0.001 (0.002)	Loss 2.5986 (2.8030)	Prec@1 31.250 (33.420)	Prec@5 68.750 (63.739)
Epoch: [8][4040/14090]	Time 0.762 (0.764)	Data 0.001 (0.002)	Loss 2.5972 (2.8032)	Prec@1 40.625 (33.421)	Prec@5 71.094 (63.736)
Epoch: [8][4050/14090]	Time 0.772 (0.764)	Data 0.001 (0.002)	Loss 2.8753 (2.8032)	Prec@1 29.688 (33.418)	Prec@5 60.938 (63.734)
Epoch: [8][4060/14090]	Time 0.758 (0.764)	Data 0.001 (0.002)	Loss 2.8470 (2.8032)	Prec@1 33.594 (33.421)	Prec@5 63.281 (63.733)
Epoch: [8][4070/14090]	Time 0.760 (0.764)	Data 0.001 (0.002)	Loss 3.2289 (2.8034)	Prec@1 25.781 (33.416)	Prec@5 51.562 (63.727)
Epoch: [8][4080/14090]	Time 0.841 (0.764)	Data 0.001 (0.002)	Loss 2.8007 (2.8034)	Prec@1 37.500 (33.420)	Prec@5 61.719 (63.726)
Epoch: [8][4090/14090]	Time 0.745 (0.764)	Data 0.001 (0.002)	Loss 2.9351 (2.8035)	Prec@1 31.250 (33.423)	Prec@5 60.156 (63.722)
Epoch: [8][4100/14090]	Time 0.747 (0.764)	Data 0.001 (0.002)	Loss 3.0293 (2.8035)	Prec@1 30.469 (33.424)	Prec@5 59.375 (63.720)
Epoch: [8][4110/14090]	Time 0.760 (0.764)	Data 0.001 (0.002)	Loss 2.7173 (2.8035)	Prec@1 35.156 (33.426)	Prec@5 64.844 (63.720)
Epoch: [8][4120/14090]	Time 0.726 (0.764)	Data 0.001 (0.002)	Loss 2.7676 (2.8034)	Prec@1 28.125 (33.423)	Prec@5 65.625 (63.725)
Epoch: [8][4130/14090]	Time 0.730 (0.764)	Data 0.001 (0.002)	Loss 2.9452 (2.8035)	Prec@1 30.469 (33.424)	Prec@5 59.375 (63.723)
Epoch: [8][4140/14090]	Time 0.754 (0.764)	Data 0.001 (0.002)	Loss 2.5363 (2.8034)	Prec@1 44.531 (33.422)	Prec@5 71.875 (63.727)
Epoch: [8][4150/14090]	Time 0.864 (0.764)	Data 0.001 (0.002)	Loss 2.6564 (2.8032)	Prec@1 33.594 (33.430)	Prec@5 65.625 (63.731)
Epoch: [8][4160/14090]	Time 0.733 (0.764)	Data 0.001 (0.002)	Loss 3.0510 (2.8035)	Prec@1 28.125 (33.426)	Prec@5 60.938 (63.727)
Epoch: [8][4170/14090]	Time 0.727 (0.764)	Data 0.001 (0.002)	Loss 2.7776 (2.8035)	Prec@1 32.812 (33.422)	Prec@5 64.062 (63.729)
Epoch: [8][4180/14090]	Time 0.732 (0.764)	Data 0.001 (0.002)	Loss 2.5951 (2.8034)	Prec@1 40.625 (33.422)	Prec@5 67.188 (63.733)
Epoch: [8][4190/14090]	Time 0.728 (0.764)	Data 0.001 (0.002)	Loss 2.7710 (2.8035)	Prec@1 32.812 (33.418)	Prec@5 62.500 (63.726)
Epoch: [8][4200/14090]	Time 0.742 (0.764)	Data 0.001 (0.002)	Loss 2.5826 (2.8035)	Prec@1 37.500 (33.422)	Prec@5 71.094 (63.729)
Epoch: [8][4210/14090]	Time 0.743 (0.764)	Data 0.001 (0.002)	Loss 2.7004 (2.8033)	Prec@1 32.812 (33.424)	Prec@5 66.406 (63.732)
Epoch: [8][4220/14090]	Time 0.853 (0.764)	Data 0.001 (0.002)	Loss 2.6526 (2.8031)	Prec@1 35.938 (33.427)	Prec@5 62.500 (63.738)
Epoch: [8][4230/14090]	Time 0.748 (0.764)	Data 0.001 (0.002)	Loss 2.8917 (2.8031)	Prec@1 28.906 (33.425)	Prec@5 66.406 (63.737)
Epoch: [8][4240/14090]	Time 0.747 (0.764)	Data 0.001 (0.002)	Loss 2.7043 (2.8032)	Prec@1 35.156 (33.424)	Prec@5 60.156 (63.732)
Epoch: [8][4250/14090]	Time 0.741 (0.764)	Data 0.001 (0.002)	Loss 2.6766 (2.8032)	Prec@1 34.375 (33.423)	Prec@5 64.062 (63.728)
Epoch: [8][4260/14090]	Time 0.753 (0.764)	Data 0.001 (0.002)	Loss 2.7046 (2.8031)	Prec@1 35.156 (33.426)	Prec@5 64.844 (63.732)
Epoch: [8][4270/14090]	Time 0.771 (0.764)	Data 0.001 (0.002)	Loss 2.6657 (2.8032)	Prec@1 31.250 (33.425)	Prec@5 67.969 (63.731)
Epoch: [8][4280/14090]	Time 0.752 (0.764)	Data 0.001 (0.002)	Loss 2.9148 (2.8033)	Prec@1 27.344 (33.424)	Prec@5 65.625 (63.731)
Epoch: [8][4290/14090]	Time 0.926 (0.764)	Data 0.001 (0.002)	Loss 2.6141 (2.8034)	Prec@1 39.062 (33.423)	Prec@5 65.625 (63.731)
Epoch: [8][4300/14090]	Time 0.729 (0.764)	Data 0.001 (0.002)	Loss 2.6651 (2.8032)	Prec@1 41.406 (33.423)	Prec@5 69.531 (63.733)
Epoch: [8][4310/14090]	Time 0.754 (0.764)	Data 0.001 (0.002)	Loss 2.8384 (2.8032)	Prec@1 30.469 (33.424)	Prec@5 63.281 (63.735)
Epoch: [8][4320/14090]	Time 0.732 (0.764)	Data 0.001 (0.002)	Loss 2.7358 (2.8031)	Prec@1 35.156 (33.427)	Prec@5 61.719 (63.734)
Epoch: [8][4330/14090]	Time 0.738 (0.764)	Data 0.001 (0.002)	Loss 3.1946 (2.8031)	Prec@1 28.906 (33.423)	Prec@5 53.125 (63.736)
Epoch: [8][4340/14090]	Time 0.757 (0.764)	Data 0.001 (0.002)	Loss 2.6907 (2.8032)	Prec@1 35.938 (33.422)	Prec@5 70.312 (63.734)
Epoch: [8][4350/14090]	Time 0.737 (0.764)	Data 0.001 (0.002)	Loss 2.5626 (2.8031)	Prec@1 40.625 (33.423)	Prec@5 69.531 (63.737)
Epoch: [8][4360/14090]	Time 0.840 (0.764)	Data 0.001 (0.002)	Loss 2.8941 (2.8036)	Prec@1 34.375 (33.416)	Prec@5 64.062 (63.725)
Epoch: [8][4370/14090]	Time 0.724 (0.764)	Data 0.001 (0.002)	Loss 2.7504 (2.8039)	Prec@1 35.938 (33.415)	Prec@5 66.406 (63.720)
Epoch: [8][4380/14090]	Time 0.726 (0.764)	Data 0.001 (0.002)	Loss 3.0469 (2.8037)	Prec@1 29.688 (33.417)	Prec@5 57.812 (63.728)
Epoch: [8][4390/14090]	Time 0.758 (0.764)	Data 0.001 (0.002)	Loss 3.2247 (2.8038)	Prec@1 25.000 (33.419)	Prec@5 53.125 (63.724)
Epoch: [8][4400/14090]	Time 0.748 (0.764)	Data 0.001 (0.002)	Loss 2.7976 (2.8038)	Prec@1 37.500 (33.416)	Prec@5 59.375 (63.721)
Epoch: [8][4410/14090]	Time 0.726 (0.764)	Data 0.001 (0.002)	Loss 2.8726 (2.8038)	Prec@1 25.781 (33.416)	Prec@5 60.938 (63.717)
Epoch: [8][4420/14090]	Time 0.746 (0.764)	Data 0.001 (0.002)	Loss 2.9342 (2.8037)	Prec@1 30.469 (33.419)	Prec@5 62.500 (63.715)
Epoch: [8][4430/14090]	Time 0.870 (0.764)	Data 0.001 (0.002)	Loss 2.6288 (2.8037)	Prec@1 32.812 (33.416)	Prec@5 69.531 (63.716)
Epoch: [8][4440/14090]	Time 0.728 (0.764)	Data 0.001 (0.002)	Loss 3.0470 (2.8036)	Prec@1 29.688 (33.416)	Prec@5 56.250 (63.718)
Epoch: [8][4450/14090]	Time 0.723 (0.764)	Data 0.001 (0.002)	Loss 2.7633 (2.8036)	Prec@1 31.250 (33.417)	Prec@5 61.719 (63.718)
Epoch: [8][4460/14090]	Time 0.770 (0.764)	Data 0.001 (0.002)	Loss 2.4625 (2.8034)	Prec@1 40.625 (33.421)	Prec@5 75.000 (63.724)
Epoch: [8][4470/14090]	Time 0.739 (0.764)	Data 0.001 (0.002)	Loss 3.0885 (2.8033)	Prec@1 22.656 (33.419)	Prec@5 66.406 (63.725)
Epoch: [8][4480/14090]	Time 0.757 (0.764)	Data 0.001 (0.002)	Loss 2.3539 (2.8032)	Prec@1 39.844 (33.422)	Prec@5 78.906 (63.730)
Epoch: [8][4490/14090]	Time 0.755 (0.764)	Data 0.001 (0.002)	Loss 3.0479 (2.8033)	Prec@1 31.250 (33.421)	Prec@5 62.500 (63.728)
Epoch: [8][4500/14090]	Time 0.824 (0.764)	Data 0.001 (0.002)	Loss 2.9473 (2.8034)	Prec@1 30.469 (33.421)	Prec@5 57.031 (63.728)
Epoch: [8][4510/14090]	Time 0.738 (0.764)	Data 0.001 (0.002)	Loss 2.6990 (2.8032)	Prec@1 32.812 (33.421)	Prec@5 66.406 (63.731)
Epoch: [8][4520/14090]	Time 0.722 (0.764)	Data 0.001 (0.002)	Loss 2.7006 (2.8033)	Prec@1 28.906 (33.420)	Prec@5 63.281 (63.731)
Epoch: [8][4530/14090]	Time 0.784 (0.764)	Data 0.001 (0.002)	Loss 2.9566 (2.8033)	Prec@1 22.656 (33.418)	Prec@5 56.250 (63.731)
Epoch: [8][4540/14090]	Time 0.770 (0.764)	Data 0.001 (0.002)	Loss 2.7311 (2.8031)	Prec@1 39.062 (33.426)	Prec@5 66.406 (63.735)
Epoch: [8][4550/14090]	Time 0.733 (0.764)	Data 0.001 (0.002)	Loss 2.8764 (2.8033)	Prec@1 29.688 (33.422)	Prec@5 60.156 (63.728)
Epoch: [8][4560/14090]	Time 0.745 (0.764)	Data 0.001 (0.002)	Loss 2.8973 (2.8035)	Prec@1 35.156 (33.426)	Prec@5 61.719 (63.725)
Epoch: [8][4570/14090]	Time 0.897 (0.764)	Data 0.001 (0.002)	Loss 2.9569 (2.8035)	Prec@1 32.812 (33.428)	Prec@5 61.719 (63.723)
Epoch: [8][4580/14090]	Time 0.731 (0.764)	Data 0.001 (0.002)	Loss 2.5859 (2.8035)	Prec@1 40.625 (33.432)	Prec@5 65.625 (63.722)
Epoch: [8][4590/14090]	Time 0.726 (0.764)	Data 0.001 (0.002)	Loss 3.2680 (2.8034)	Prec@1 25.781 (33.434)	Prec@5 53.125 (63.723)
Epoch: [8][4600/14090]	Time 0.741 (0.764)	Data 0.001 (0.002)	Loss 2.6106 (2.8035)	Prec@1 38.281 (33.434)	Prec@5 67.969 (63.723)
Epoch: [8][4610/14090]	Time 0.753 (0.764)	Data 0.001 (0.002)	Loss 2.8100 (2.8035)	Prec@1 32.031 (33.431)	Prec@5 60.156 (63.722)
Epoch: [8][4620/14090]	Time 0.759 (0.764)	Data 0.001 (0.002)	Loss 3.0213 (2.8035)	Prec@1 30.469 (33.432)	Prec@5 59.375 (63.722)
Epoch: [8][4630/14090]	Time 0.742 (0.764)	Data 0.001 (0.002)	Loss 2.7325 (2.8034)	Prec@1 39.062 (33.432)	Prec@5 64.844 (63.722)
Epoch: [8][4640/14090]	Time 0.855 (0.764)	Data 0.001 (0.002)	Loss 2.6356 (2.8033)	Prec@1 33.594 (33.430)	Prec@5 67.969 (63.727)
Epoch: [8][4650/14090]	Time 0.740 (0.764)	Data 0.001 (0.002)	Loss 2.7301 (2.8034)	Prec@1 32.031 (33.429)	Prec@5 66.406 (63.724)
Epoch: [8][4660/14090]	Time 0.760 (0.764)	Data 0.001 (0.002)	Loss 2.9321 (2.8036)	Prec@1 29.688 (33.428)	Prec@5 58.594 (63.721)
Epoch: [8][4670/14090]	Time 0.736 (0.764)	Data 0.001 (0.002)	Loss 2.9771 (2.8038)	Prec@1 28.125 (33.422)	Prec@5 60.156 (63.717)
Epoch: [8][4680/14090]	Time 0.749 (0.764)	Data 0.001 (0.002)	Loss 2.6618 (2.8038)	Prec@1 36.719 (33.421)	Prec@5 64.844 (63.717)
Epoch: [8][4690/14090]	Time 0.767 (0.764)	Data 0.001 (0.002)	Loss 2.8089 (2.8037)	Prec@1 31.250 (33.425)	Prec@5 66.406 (63.718)
Epoch: [8][4700/14090]	Time 0.757 (0.764)	Data 0.001 (0.002)	Loss 2.7665 (2.8038)	Prec@1 39.062 (33.424)	Prec@5 67.969 (63.715)
Epoch: [8][4710/14090]	Time 0.828 (0.764)	Data 0.001 (0.002)	Loss 2.8477 (2.8038)	Prec@1 32.812 (33.425)	Prec@5 59.375 (63.714)
Epoch: [8][4720/14090]	Time 0.738 (0.764)	Data 0.001 (0.002)	Loss 2.6811 (2.8038)	Prec@1 36.719 (33.425)	Prec@5 66.406 (63.714)
Epoch: [8][4730/14090]	Time 0.739 (0.764)	Data 0.001 (0.002)	Loss 2.8388 (2.8039)	Prec@1 28.125 (33.427)	Prec@5 65.625 (63.713)
Epoch: [8][4740/14090]	Time 0.755 (0.764)	Data 0.001 (0.002)	Loss 2.8852 (2.8039)	Prec@1 28.125 (33.427)	Prec@5 65.625 (63.713)
Epoch: [8][4750/14090]	Time 0.753 (0.764)	Data 0.001 (0.002)	Loss 2.9994 (2.8041)	Prec@1 26.562 (33.423)	Prec@5 63.281 (63.713)
Epoch: [8][4760/14090]	Time 0.766 (0.764)	Data 0.001 (0.002)	Loss 2.8444 (2.8040)	Prec@1 30.469 (33.423)	Prec@5 64.844 (63.715)
Epoch: [8][4770/14090]	Time 0.739 (0.764)	Data 0.001 (0.002)	Loss 2.6772 (2.8039)	Prec@1 28.906 (33.425)	Prec@5 68.750 (63.717)
Epoch: [8][4780/14090]	Time 0.820 (0.764)	Data 0.001 (0.002)	Loss 2.8767 (2.8037)	Prec@1 33.594 (33.424)	Prec@5 62.500 (63.722)
Epoch: [8][4790/14090]	Time 0.755 (0.764)	Data 0.001 (0.002)	Loss 2.8783 (2.8036)	Prec@1 31.250 (33.423)	Prec@5 59.375 (63.721)
Epoch: [8][4800/14090]	Time 0.752 (0.764)	Data 0.001 (0.002)	Loss 2.8465 (2.8035)	Prec@1 30.469 (33.424)	Prec@5 61.719 (63.723)
Epoch: [8][4810/14090]	Time 0.751 (0.764)	Data 0.001 (0.002)	Loss 2.9085 (2.8034)	Prec@1 32.812 (33.425)	Prec@5 62.500 (63.723)
Epoch: [8][4820/14090]	Time 0.764 (0.764)	Data 0.001 (0.002)	Loss 2.7694 (2.8033)	Prec@1 32.812 (33.428)	Prec@5 60.938 (63.727)
Epoch: [8][4830/14090]	Time 0.752 (0.764)	Data 0.001 (0.002)	Loss 2.5401 (2.8033)	Prec@1 37.500 (33.431)	Prec@5 67.969 (63.727)
Epoch: [8][4840/14090]	Time 0.757 (0.764)	Data 0.001 (0.002)	Loss 2.7362 (2.8031)	Prec@1 35.156 (33.436)	Prec@5 58.594 (63.727)
Epoch: [8][4850/14090]	Time 0.866 (0.764)	Data 0.001 (0.002)	Loss 3.1656 (2.8032)	Prec@1 28.906 (33.438)	Prec@5 62.500 (63.727)
Epoch: [8][4860/14090]	Time 0.751 (0.764)	Data 0.001 (0.002)	Loss 2.7519 (2.8032)	Prec@1 37.500 (33.439)	Prec@5 64.062 (63.728)
Epoch: [8][4870/14090]	Time 0.757 (0.764)	Data 0.001 (0.002)	Loss 2.6209 (2.8033)	Prec@1 39.062 (33.438)	Prec@5 67.188 (63.725)
Epoch: [8][4880/14090]	Time 0.727 (0.764)	Data 0.001 (0.002)	Loss 2.7372 (2.8033)	Prec@1 37.500 (33.440)	Prec@5 60.938 (63.726)
Epoch: [8][4890/14090]	Time 0.737 (0.764)	Data 0.001 (0.002)	Loss 2.7496 (2.8032)	Prec@1 41.406 (33.442)	Prec@5 65.625 (63.728)
Epoch: [8][4900/14090]	Time 0.755 (0.764)	Data 0.001 (0.002)	Loss 2.6522 (2.8030)	Prec@1 32.031 (33.448)	Prec@5 69.531 (63.730)
Epoch: [8][4910/14090]	Time 0.749 (0.764)	Data 0.001 (0.002)	Loss 2.8125 (2.8030)	Prec@1 30.469 (33.448)	Prec@5 61.719 (63.728)
Epoch: [8][4920/14090]	Time 0.886 (0.764)	Data 0.001 (0.002)	Loss 2.9530 (2.8031)	Prec@1 32.812 (33.444)	Prec@5 57.812 (63.726)
Epoch: [8][4930/14090]	Time 0.761 (0.764)	Data 0.001 (0.002)	Loss 2.8729 (2.8031)	Prec@1 28.125 (33.446)	Prec@5 66.406 (63.729)
Epoch: [8][4940/14090]	Time 0.731 (0.764)	Data 0.001 (0.002)	Loss 3.3703 (2.8031)	Prec@1 28.125 (33.448)	Prec@5 49.219 (63.725)
Epoch: [8][4950/14090]	Time 0.753 (0.764)	Data 0.001 (0.002)	Loss 2.6614 (2.8031)	Prec@1 41.406 (33.449)	Prec@5 69.531 (63.724)
Epoch: [8][4960/14090]	Time 0.753 (0.764)	Data 0.001 (0.002)	Loss 2.8405 (2.8030)	Prec@1 35.156 (33.450)	Prec@5 66.406 (63.728)
Epoch: [8][4970/14090]	Time 0.742 (0.764)	Data 0.001 (0.002)	Loss 2.8676 (2.8031)	Prec@1 34.375 (33.449)	Prec@5 62.500 (63.727)
Epoch: [8][4980/14090]	Time 0.753 (0.764)	Data 0.001 (0.002)	Loss 2.7863 (2.8031)	Prec@1 33.594 (33.449)	Prec@5 67.188 (63.727)
Epoch: [8][4990/14090]	Time 0.877 (0.764)	Data 0.001 (0.002)	Loss 2.9964 (2.8031)	Prec@1 28.125 (33.447)	Prec@5 63.281 (63.731)
Epoch: [8][5000/14090]	Time 0.744 (0.764)	Data 0.001 (0.002)	Loss 2.6619 (2.8032)	Prec@1 31.250 (33.445)	Prec@5 67.188 (63.727)
Epoch: [8][5010/14090]	Time 0.775 (0.764)	Data 0.001 (0.002)	Loss 2.8889 (2.8032)	Prec@1 33.594 (33.445)	Prec@5 63.281 (63.728)
Epoch: [8][5020/14090]	Time 0.748 (0.764)	Data 0.001 (0.002)	Loss 2.6256 (2.8031)	Prec@1 38.281 (33.446)	Prec@5 67.188 (63.730)
Epoch: [8][5030/14090]	Time 0.754 (0.764)	Data 0.001 (0.002)	Loss 2.6070 (2.8029)	Prec@1 37.500 (33.453)	Prec@5 66.406 (63.731)
Epoch: [8][5040/14090]	Time 0.761 (0.764)	Data 0.001 (0.002)	Loss 2.9337 (2.8029)	Prec@1 29.688 (33.451)	Prec@5 66.406 (63.731)
Epoch: [8][5050/14090]	Time 0.740 (0.764)	Data 0.001 (0.002)	Loss 3.0183 (2.8031)	Prec@1 28.125 (33.450)	Prec@5 57.812 (63.728)
Epoch: [8][5060/14090]	Time 0.841 (0.764)	Data 0.001 (0.002)	Loss 2.9498 (2.8033)	Prec@1 32.812 (33.447)	Prec@5 60.156 (63.726)
Epoch: [8][5070/14090]	Time 0.750 (0.764)	Data 0.001 (0.002)	Loss 2.7674 (2.8035)	Prec@1 35.156 (33.447)	Prec@5 66.406 (63.722)
Epoch: [8][5080/14090]	Time 0.764 (0.764)	Data 0.001 (0.002)	Loss 2.9415 (2.8036)	Prec@1 32.812 (33.447)	Prec@5 60.156 (63.716)
Epoch: [8][5090/14090]	Time 0.754 (0.764)	Data 0.001 (0.002)	Loss 2.8020 (2.8037)	Prec@1 32.812 (33.447)	Prec@5 57.812 (63.712)
Epoch: [8][5100/14090]	Time 0.747 (0.764)	Data 0.001 (0.002)	Loss 2.8053 (2.8036)	Prec@1 32.812 (33.449)	Prec@5 64.844 (63.713)
Epoch: [8][5110/14090]	Time 0.756 (0.764)	Data 0.001 (0.002)	Loss 2.8414 (2.8037)	Prec@1 36.719 (33.449)	Prec@5 60.156 (63.712)
Epoch: [8][5120/14090]	Time 0.757 (0.764)	Data 0.001 (0.002)	Loss 2.8757 (2.8039)	Prec@1 34.375 (33.449)	Prec@5 66.406 (63.708)
Epoch: [8][5130/14090]	Time 0.856 (0.764)	Data 0.001 (0.002)	Loss 2.7530 (2.8039)	Prec@1 35.156 (33.450)	Prec@5 65.625 (63.706)
Epoch: [8][5140/14090]	Time 0.725 (0.764)	Data 0.001 (0.002)	Loss 2.7958 (2.8040)	Prec@1 32.031 (33.450)	Prec@5 64.062 (63.705)
Epoch: [8][5150/14090]	Time 0.735 (0.764)	Data 0.001 (0.002)	Loss 3.2011 (2.8039)	Prec@1 27.344 (33.450)	Prec@5 50.000 (63.707)
Epoch: [8][5160/14090]	Time 0.741 (0.764)	Data 0.001 (0.002)	Loss 2.6634 (2.8040)	Prec@1 42.188 (33.449)	Prec@5 71.875 (63.707)
Epoch: [8][5170/14090]	Time 0.778 (0.764)	Data 0.001 (0.002)	Loss 2.7397 (2.8039)	Prec@1 32.812 (33.451)	Prec@5 64.062 (63.705)
Epoch: [8][5180/14090]	Time 0.726 (0.764)	Data 0.001 (0.002)	Loss 2.6852 (2.8038)	Prec@1 30.469 (33.449)	Prec@5 64.062 (63.704)
Epoch: [8][5190/14090]	Time 0.757 (0.764)	Data 0.001 (0.002)	Loss 2.7960 (2.8037)	Prec@1 31.250 (33.455)	Prec@5 60.938 (63.709)
Epoch: [8][5200/14090]	Time 0.866 (0.764)	Data 0.001 (0.002)	Loss 2.7049 (2.8038)	Prec@1 31.250 (33.452)	Prec@5 64.844 (63.709)
Epoch: [8][5210/14090]	Time 0.725 (0.764)	Data 0.001 (0.002)	Loss 2.7378 (2.8038)	Prec@1 37.500 (33.449)	Prec@5 66.406 (63.706)
Epoch: [8][5220/14090]	Time 0.756 (0.764)	Data 0.001 (0.002)	Loss 2.4769 (2.8037)	Prec@1 42.969 (33.452)	Prec@5 67.188 (63.707)
Epoch: [8][5230/14090]	Time 0.780 (0.764)	Data 0.002 (0.002)	Loss 2.9395 (2.8038)	Prec@1 33.594 (33.447)	Prec@5 64.062 (63.700)
Epoch: [8][5240/14090]	Time 0.723 (0.764)	Data 0.001 (0.002)	Loss 2.7085 (2.8038)	Prec@1 35.938 (33.449)	Prec@5 64.844 (63.701)
Epoch: [8][5250/14090]	Time 0.723 (0.764)	Data 0.001 (0.002)	Loss 2.5671 (2.8038)	Prec@1 39.062 (33.448)	Prec@5 71.875 (63.698)
Epoch: [8][5260/14090]	Time 0.728 (0.764)	Data 0.001 (0.002)	Loss 3.0522 (2.8038)	Prec@1 28.906 (33.448)	Prec@5 58.594 (63.697)
Epoch: [8][5270/14090]	Time 0.852 (0.764)	Data 0.001 (0.002)	Loss 3.0846 (2.8039)	Prec@1 29.688 (33.449)	Prec@5 61.719 (63.697)
Epoch: [8][5280/14090]	Time 0.754 (0.764)	Data 0.001 (0.002)	Loss 2.9302 (2.8038)	Prec@1 26.562 (33.452)	Prec@5 60.938 (63.701)
Epoch: [8][5290/14090]	Time 0.760 (0.764)	Data 0.001 (0.002)	Loss 2.6093 (2.8038)	Prec@1 37.500 (33.454)	Prec@5 60.938 (63.701)
Epoch: [8][5300/14090]	Time 0.737 (0.764)	Data 0.001 (0.002)	Loss 2.8648 (2.8038)	Prec@1 28.906 (33.454)	Prec@5 61.719 (63.699)
Epoch: [8][5310/14090]	Time 0.762 (0.764)	Data 0.001 (0.002)	Loss 2.7536 (2.8039)	Prec@1 36.719 (33.455)	Prec@5 60.938 (63.697)
Epoch: [8][5320/14090]	Time 0.739 (0.764)	Data 0.001 (0.002)	Loss 2.8680 (2.8039)	Prec@1 32.031 (33.454)	Prec@5 66.406 (63.697)
Epoch: [8][5330/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 2.6106 (2.8040)	Prec@1 42.188 (33.454)	Prec@5 64.844 (63.692)
Epoch: [8][5340/14090]	Time 0.851 (0.764)	Data 0.001 (0.001)	Loss 2.8272 (2.8041)	Prec@1 35.156 (33.454)	Prec@5 64.062 (63.692)
Epoch: [8][5350/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 2.7844 (2.8041)	Prec@1 35.938 (33.454)	Prec@5 62.500 (63.692)
Epoch: [8][5360/14090]	Time 0.746 (0.764)	Data 0.001 (0.001)	Loss 2.9018 (2.8040)	Prec@1 28.906 (33.456)	Prec@5 57.031 (63.691)
Epoch: [8][5370/14090]	Time 0.732 (0.764)	Data 0.001 (0.001)	Loss 2.7907 (2.8039)	Prec@1 29.688 (33.459)	Prec@5 62.500 (63.693)
Epoch: [8][5380/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 2.9729 (2.8040)	Prec@1 25.781 (33.456)	Prec@5 60.156 (63.693)
Epoch: [8][5390/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 2.8618 (2.8041)	Prec@1 32.812 (33.457)	Prec@5 66.406 (63.691)
Epoch: [8][5400/14090]	Time 0.724 (0.764)	Data 0.001 (0.001)	Loss 2.8610 (2.8041)	Prec@1 26.562 (33.457)	Prec@5 68.750 (63.692)
Epoch: [8][5410/14090]	Time 0.901 (0.764)	Data 0.001 (0.001)	Loss 3.0245 (2.8041)	Prec@1 26.562 (33.455)	Prec@5 64.844 (63.692)
Epoch: [8][5420/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 2.9634 (2.8042)	Prec@1 26.562 (33.451)	Prec@5 60.156 (63.689)
Epoch: [8][5430/14090]	Time 0.760 (0.764)	Data 0.001 (0.001)	Loss 2.7452 (2.8043)	Prec@1 35.156 (33.449)	Prec@5 61.719 (63.684)
Epoch: [8][5440/14090]	Time 0.743 (0.764)	Data 0.001 (0.001)	Loss 2.8436 (2.8043)	Prec@1 29.688 (33.450)	Prec@5 64.062 (63.682)
Epoch: [8][5450/14090]	Time 0.726 (0.764)	Data 0.001 (0.001)	Loss 2.7794 (2.8045)	Prec@1 35.156 (33.445)	Prec@5 61.719 (63.680)
Epoch: [8][5460/14090]	Time 0.761 (0.764)	Data 0.002 (0.001)	Loss 3.0357 (2.8044)	Prec@1 28.906 (33.446)	Prec@5 57.812 (63.681)
Epoch: [8][5470/14090]	Time 0.768 (0.764)	Data 0.001 (0.001)	Loss 2.8599 (2.8044)	Prec@1 27.344 (33.449)	Prec@5 60.938 (63.679)
Epoch: [8][5480/14090]	Time 0.870 (0.764)	Data 0.001 (0.001)	Loss 2.7155 (2.8044)	Prec@1 31.250 (33.449)	Prec@5 66.406 (63.680)
Epoch: [8][5490/14090]	Time 0.746 (0.764)	Data 0.001 (0.001)	Loss 2.9291 (2.8045)	Prec@1 29.688 (33.447)	Prec@5 57.812 (63.678)
Epoch: [8][5500/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 2.7804 (2.8045)	Prec@1 29.688 (33.444)	Prec@5 66.406 (63.681)
Epoch: [8][5510/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 2.8389 (2.8043)	Prec@1 33.594 (33.447)	Prec@5 60.938 (63.686)
Epoch: [8][5520/14090]	Time 0.769 (0.764)	Data 0.002 (0.001)	Loss 2.8465 (2.8043)	Prec@1 28.906 (33.450)	Prec@5 61.719 (63.684)
Epoch: [8][5530/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 2.9540 (2.8044)	Prec@1 31.250 (33.448)	Prec@5 65.625 (63.683)
Epoch: [8][5540/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 2.7108 (2.8043)	Prec@1 35.938 (33.448)	Prec@5 70.312 (63.683)
Epoch: [8][5550/14090]	Time 0.891 (0.764)	Data 0.001 (0.001)	Loss 2.7489 (2.8044)	Prec@1 35.938 (33.446)	Prec@5 64.062 (63.681)
Epoch: [8][5560/14090]	Time 0.733 (0.764)	Data 0.001 (0.001)	Loss 2.9162 (2.8046)	Prec@1 31.250 (33.443)	Prec@5 57.031 (63.677)
Epoch: [8][5570/14090]	Time 0.759 (0.764)	Data 0.001 (0.001)	Loss 3.0062 (2.8046)	Prec@1 31.250 (33.443)	Prec@5 62.500 (63.677)
Epoch: [8][5580/14090]	Time 0.760 (0.764)	Data 0.001 (0.001)	Loss 2.8794 (2.8048)	Prec@1 25.781 (33.439)	Prec@5 63.281 (63.674)
Epoch: [8][5590/14090]	Time 0.740 (0.764)	Data 0.001 (0.001)	Loss 2.7489 (2.8048)	Prec@1 32.031 (33.438)	Prec@5 64.062 (63.675)
Epoch: [8][5600/14090]	Time 0.739 (0.764)	Data 0.001 (0.001)	Loss 3.0224 (2.8048)	Prec@1 30.469 (33.439)	Prec@5 62.500 (63.674)
Epoch: [8][5610/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 3.0518 (2.8050)	Prec@1 31.250 (33.437)	Prec@5 62.500 (63.672)
Epoch: [8][5620/14090]	Time 0.912 (0.764)	Data 0.001 (0.001)	Loss 2.7338 (2.8049)	Prec@1 35.938 (33.438)	Prec@5 63.281 (63.669)
Epoch: [8][5630/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 2.7462 (2.8050)	Prec@1 32.031 (33.437)	Prec@5 64.844 (63.669)
Epoch: [8][5640/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 3.0910 (2.8049)	Prec@1 21.875 (33.434)	Prec@5 57.812 (63.671)
Epoch: [8][5650/14090]	Time 0.758 (0.764)	Data 0.001 (0.001)	Loss 2.8705 (2.8048)	Prec@1 36.719 (33.439)	Prec@5 59.375 (63.671)
Epoch: [8][5660/14090]	Time 0.761 (0.764)	Data 0.001 (0.001)	Loss 2.6907 (2.8047)	Prec@1 32.812 (33.438)	Prec@5 67.188 (63.672)
Epoch: [8][5670/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 2.8756 (2.8048)	Prec@1 28.125 (33.435)	Prec@5 62.500 (63.666)
Epoch: [8][5680/14090]	Time 0.758 (0.764)	Data 0.001 (0.001)	Loss 2.9386 (2.8048)	Prec@1 32.031 (33.439)	Prec@5 61.719 (63.667)
Epoch: [8][5690/14090]	Time 0.928 (0.764)	Data 0.001 (0.001)	Loss 3.0248 (2.8047)	Prec@1 30.469 (33.441)	Prec@5 59.375 (63.669)
Epoch: [8][5700/14090]	Time 0.733 (0.764)	Data 0.001 (0.001)	Loss 2.9610 (2.8048)	Prec@1 29.688 (33.440)	Prec@5 55.469 (63.668)
Epoch: [8][5710/14090]	Time 0.744 (0.764)	Data 0.001 (0.001)	Loss 2.9043 (2.8050)	Prec@1 32.812 (33.436)	Prec@5 59.375 (63.664)
Epoch: [8][5720/14090]	Time 0.777 (0.764)	Data 0.001 (0.001)	Loss 2.6742 (2.8049)	Prec@1 35.938 (33.438)	Prec@5 67.188 (63.663)
Epoch: [8][5730/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 2.8045 (2.8049)	Prec@1 40.625 (33.438)	Prec@5 65.625 (63.664)
Epoch: [8][5740/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 3.1237 (2.8050)	Prec@1 25.000 (33.436)	Prec@5 57.812 (63.662)
Epoch: [8][5750/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 2.7531 (2.8048)	Prec@1 30.469 (33.439)	Prec@5 67.969 (63.668)
Epoch: [8][5760/14090]	Time 0.840 (0.764)	Data 0.001 (0.001)	Loss 2.6809 (2.8048)	Prec@1 37.500 (33.440)	Prec@5 61.719 (63.668)
Epoch: [8][5770/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 2.8759 (2.8048)	Prec@1 32.031 (33.442)	Prec@5 63.281 (63.669)
Epoch: [8][5780/14090]	Time 0.735 (0.764)	Data 0.001 (0.001)	Loss 2.8582 (2.8047)	Prec@1 31.250 (33.441)	Prec@5 66.406 (63.669)
Epoch: [8][5790/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 2.9384 (2.8047)	Prec@1 31.250 (33.440)	Prec@5 56.250 (63.669)
Epoch: [8][5800/14090]	Time 0.777 (0.764)	Data 0.001 (0.001)	Loss 2.8738 (2.8049)	Prec@1 28.125 (33.439)	Prec@5 64.062 (63.665)
Epoch: [8][5810/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 2.7659 (2.8049)	Prec@1 32.812 (33.435)	Prec@5 66.406 (63.664)
Epoch: [8][5820/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 2.7662 (2.8047)	Prec@1 31.250 (33.438)	Prec@5 67.188 (63.666)
Epoch: [8][5830/14090]	Time 0.910 (0.764)	Data 0.001 (0.001)	Loss 2.7402 (2.8046)	Prec@1 34.375 (33.439)	Prec@5 67.969 (63.670)
Epoch: [8][5840/14090]	Time 0.733 (0.764)	Data 0.001 (0.001)	Loss 3.0435 (2.8047)	Prec@1 31.250 (33.439)	Prec@5 57.812 (63.668)
Epoch: [8][5850/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 2.7213 (2.8047)	Prec@1 29.688 (33.439)	Prec@5 62.500 (63.668)
Epoch: [8][5860/14090]	Time 0.734 (0.764)	Data 0.001 (0.001)	Loss 2.9728 (2.8047)	Prec@1 32.031 (33.441)	Prec@5 63.281 (63.670)
Epoch: [8][5870/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 2.8405 (2.8047)	Prec@1 30.469 (33.442)	Prec@5 62.500 (63.668)
Epoch: [8][5880/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 2.7500 (2.8047)	Prec@1 34.375 (33.441)	Prec@5 62.500 (63.667)
Epoch: [8][5890/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 2.8161 (2.8047)	Prec@1 39.062 (33.441)	Prec@5 63.281 (63.668)
Epoch: [8][5900/14090]	Time 0.847 (0.764)	Data 0.001 (0.001)	Loss 2.6909 (2.8046)	Prec@1 30.469 (33.441)	Prec@5 63.281 (63.669)
Epoch: [8][5910/14090]	Time 0.724 (0.764)	Data 0.001 (0.001)	Loss 3.0709 (2.8048)	Prec@1 31.250 (33.440)	Prec@5 56.250 (63.667)
Epoch: [8][5920/14090]	Time 0.736 (0.764)	Data 0.001 (0.001)	Loss 2.8062 (2.8046)	Prec@1 32.812 (33.442)	Prec@5 64.062 (63.669)
Epoch: [8][5930/14090]	Time 0.722 (0.764)	Data 0.001 (0.001)	Loss 2.9191 (2.8045)	Prec@1 35.156 (33.446)	Prec@5 60.938 (63.674)
Epoch: [8][5940/14090]	Time 0.758 (0.764)	Data 0.001 (0.001)	Loss 2.5531 (2.8044)	Prec@1 35.938 (33.446)	Prec@5 71.875 (63.677)
Epoch: [8][5950/14090]	Time 0.748 (0.764)	Data 0.001 (0.001)	Loss 3.0134 (2.8043)	Prec@1 32.031 (33.450)	Prec@5 62.500 (63.682)
Epoch: [8][5960/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.8896 (2.8041)	Prec@1 26.562 (33.454)	Prec@5 64.062 (63.684)
Epoch: [8][5970/14090]	Time 0.865 (0.764)	Data 0.001 (0.001)	Loss 3.1669 (2.8040)	Prec@1 23.438 (33.456)	Prec@5 60.938 (63.688)
Epoch: [8][5980/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 2.7464 (2.8038)	Prec@1 28.125 (33.459)	Prec@5 65.625 (63.693)
Epoch: [8][5990/14090]	Time 0.740 (0.764)	Data 0.001 (0.001)	Loss 2.8680 (2.8038)	Prec@1 27.344 (33.459)	Prec@5 60.156 (63.691)
Epoch: [8][6000/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 2.8657 (2.8038)	Prec@1 30.469 (33.458)	Prec@5 63.281 (63.693)
Epoch: [8][6010/14090]	Time 0.721 (0.764)	Data 0.001 (0.001)	Loss 2.7230 (2.8038)	Prec@1 35.156 (33.460)	Prec@5 67.188 (63.693)
Epoch: [8][6020/14090]	Time 0.734 (0.764)	Data 0.001 (0.001)	Loss 2.7695 (2.8037)	Prec@1 28.125 (33.460)	Prec@5 61.719 (63.695)
Epoch: [8][6030/14090]	Time 0.739 (0.764)	Data 0.001 (0.001)	Loss 3.0482 (2.8037)	Prec@1 28.906 (33.459)	Prec@5 59.375 (63.692)
Epoch: [8][6040/14090]	Time 0.885 (0.764)	Data 0.001 (0.001)	Loss 2.9091 (2.8038)	Prec@1 31.250 (33.457)	Prec@5 58.594 (63.691)
Epoch: [8][6050/14090]	Time 0.732 (0.764)	Data 0.001 (0.001)	Loss 2.7565 (2.8038)	Prec@1 33.594 (33.456)	Prec@5 65.625 (63.691)
Epoch: [8][6060/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 2.9459 (2.8040)	Prec@1 29.688 (33.453)	Prec@5 66.406 (63.688)
Epoch: [8][6070/14090]	Time 0.787 (0.764)	Data 0.001 (0.001)	Loss 2.7926 (2.8040)	Prec@1 30.469 (33.454)	Prec@5 64.062 (63.686)
Epoch: [8][6080/14090]	Time 0.730 (0.764)	Data 0.001 (0.001)	Loss 2.6287 (2.8041)	Prec@1 35.938 (33.454)	Prec@5 71.094 (63.686)
Epoch: [8][6090/14090]	Time 0.745 (0.764)	Data 0.000 (0.001)	Loss 2.8518 (2.8042)	Prec@1 32.031 (33.455)	Prec@5 61.719 (63.686)
Epoch: [8][6100/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 2.7624 (2.8041)	Prec@1 31.250 (33.454)	Prec@5 64.844 (63.684)
Epoch: [8][6110/14090]	Time 0.869 (0.764)	Data 0.001 (0.001)	Loss 2.8792 (2.8042)	Prec@1 26.562 (33.451)	Prec@5 64.844 (63.684)
Epoch: [8][6120/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.7946 (2.8043)	Prec@1 31.250 (33.450)	Prec@5 62.500 (63.683)
Epoch: [8][6130/14090]	Time 0.733 (0.764)	Data 0.001 (0.001)	Loss 2.7040 (2.8044)	Prec@1 33.594 (33.448)	Prec@5 67.188 (63.681)
Epoch: [8][6140/14090]	Time 0.736 (0.764)	Data 0.001 (0.001)	Loss 2.5669 (2.8045)	Prec@1 36.719 (33.444)	Prec@5 69.531 (63.681)
Epoch: [8][6150/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.4903 (2.8043)	Prec@1 42.188 (33.444)	Prec@5 71.094 (63.685)
Epoch: [8][6160/14090]	Time 0.748 (0.764)	Data 0.001 (0.001)	Loss 2.6033 (2.8043)	Prec@1 35.156 (33.443)	Prec@5 66.406 (63.686)
Epoch: [8][6170/14090]	Time 0.732 (0.764)	Data 0.001 (0.001)	Loss 2.7257 (2.8043)	Prec@1 38.281 (33.442)	Prec@5 59.375 (63.684)
Epoch: [8][6180/14090]	Time 0.859 (0.764)	Data 0.001 (0.001)	Loss 2.9033 (2.8043)	Prec@1 32.812 (33.442)	Prec@5 60.156 (63.682)
Epoch: [8][6190/14090]	Time 0.720 (0.764)	Data 0.001 (0.001)	Loss 3.0760 (2.8043)	Prec@1 23.438 (33.441)	Prec@5 57.812 (63.683)
Epoch: [8][6200/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 3.0481 (2.8045)	Prec@1 28.906 (33.440)	Prec@5 64.062 (63.681)
Epoch: [8][6210/14090]	Time 0.734 (0.764)	Data 0.001 (0.001)	Loss 2.8252 (2.8046)	Prec@1 32.812 (33.437)	Prec@5 62.500 (63.678)
Epoch: [8][6220/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 2.9220 (2.8045)	Prec@1 30.469 (33.441)	Prec@5 58.594 (63.678)
Epoch: [8][6230/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 2.8252 (2.8046)	Prec@1 35.156 (33.441)	Prec@5 64.062 (63.677)
Epoch: [8][6240/14090]	Time 0.761 (0.764)	Data 0.001 (0.001)	Loss 2.6645 (2.8047)	Prec@1 40.625 (33.438)	Prec@5 67.969 (63.676)
Epoch: [8][6250/14090]	Time 0.854 (0.764)	Data 0.001 (0.001)	Loss 3.0604 (2.8047)	Prec@1 38.281 (33.441)	Prec@5 61.719 (63.678)
Epoch: [8][6260/14090]	Time 0.750 (0.764)	Data 0.004 (0.001)	Loss 2.8241 (2.8046)	Prec@1 33.594 (33.441)	Prec@5 61.719 (63.680)
Epoch: [8][6270/14090]	Time 0.723 (0.764)	Data 0.001 (0.001)	Loss 2.8481 (2.8044)	Prec@1 33.594 (33.445)	Prec@5 62.500 (63.684)
Epoch: [8][6280/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 2.6458 (2.8044)	Prec@1 34.375 (33.445)	Prec@5 67.188 (63.684)
Epoch: [8][6290/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 2.9976 (2.8045)	Prec@1 29.688 (33.446)	Prec@5 60.156 (63.683)
Epoch: [8][6300/14090]	Time 0.723 (0.764)	Data 0.001 (0.001)	Loss 2.7884 (2.8045)	Prec@1 31.250 (33.446)	Prec@5 60.938 (63.681)
Epoch: [8][6310/14090]	Time 0.769 (0.764)	Data 0.001 (0.001)	Loss 2.7093 (2.8046)	Prec@1 32.031 (33.444)	Prec@5 67.969 (63.679)
Epoch: [8][6320/14090]	Time 0.869 (0.764)	Data 0.001 (0.001)	Loss 2.7595 (2.8048)	Prec@1 35.938 (33.443)	Prec@5 64.062 (63.677)
Epoch: [8][6330/14090]	Time 0.745 (0.764)	Data 0.001 (0.001)	Loss 2.7497 (2.8049)	Prec@1 39.062 (33.444)	Prec@5 65.625 (63.677)
Epoch: [8][6340/14090]	Time 0.725 (0.764)	Data 0.001 (0.001)	Loss 2.8263 (2.8048)	Prec@1 32.812 (33.446)	Prec@5 60.938 (63.676)
Epoch: [8][6350/14090]	Time 0.781 (0.764)	Data 0.001 (0.001)	Loss 3.0425 (2.8048)	Prec@1 27.344 (33.445)	Prec@5 62.500 (63.677)
Epoch: [8][6360/14090]	Time 0.746 (0.764)	Data 0.001 (0.001)	Loss 2.8326 (2.8049)	Prec@1 35.938 (33.443)	Prec@5 60.156 (63.676)
Epoch: [8][6370/14090]	Time 0.727 (0.764)	Data 0.001 (0.001)	Loss 2.7685 (2.8050)	Prec@1 34.375 (33.443)	Prec@5 67.969 (63.673)
Epoch: [8][6380/14090]	Time 0.760 (0.764)	Data 0.001 (0.001)	Loss 2.7241 (2.8049)	Prec@1 34.375 (33.443)	Prec@5 60.156 (63.673)
Epoch: [8][6390/14090]	Time 0.865 (0.764)	Data 0.001 (0.001)	Loss 2.9179 (2.8048)	Prec@1 28.906 (33.445)	Prec@5 56.250 (63.675)
Epoch: [8][6400/14090]	Time 0.725 (0.764)	Data 0.001 (0.001)	Loss 2.8694 (2.8049)	Prec@1 32.031 (33.445)	Prec@5 61.719 (63.674)
Epoch: [8][6410/14090]	Time 0.777 (0.764)	Data 0.001 (0.001)	Loss 3.0892 (2.8050)	Prec@1 31.250 (33.445)	Prec@5 58.594 (63.672)
Epoch: [8][6420/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 2.7372 (2.8051)	Prec@1 29.688 (33.443)	Prec@5 63.281 (63.672)
Epoch: [8][6430/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 2.8308 (2.8051)	Prec@1 35.938 (33.445)	Prec@5 60.938 (63.672)
Epoch: [8][6440/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 2.6554 (2.8051)	Prec@1 35.938 (33.447)	Prec@5 64.844 (63.671)
Epoch: [8][6450/14090]	Time 0.732 (0.764)	Data 0.001 (0.001)	Loss 2.8282 (2.8051)	Prec@1 35.938 (33.445)	Prec@5 62.500 (63.672)
Epoch: [8][6460/14090]	Time 0.866 (0.764)	Data 0.001 (0.001)	Loss 2.7486 (2.8051)	Prec@1 38.281 (33.449)	Prec@5 62.500 (63.670)
Epoch: [8][6470/14090]	Time 0.723 (0.764)	Data 0.001 (0.001)	Loss 2.8390 (2.8051)	Prec@1 35.156 (33.448)	Prec@5 66.406 (63.670)
Epoch: [8][6480/14090]	Time 0.732 (0.764)	Data 0.001 (0.001)	Loss 2.9056 (2.8052)	Prec@1 32.031 (33.446)	Prec@5 60.156 (63.668)
Epoch: [8][6490/14090]	Time 0.764 (0.764)	Data 0.001 (0.001)	Loss 3.0335 (2.8051)	Prec@1 31.250 (33.448)	Prec@5 61.719 (63.671)
Epoch: [8][6500/14090]	Time 0.770 (0.764)	Data 0.001 (0.001)	Loss 3.1004 (2.8051)	Prec@1 27.344 (33.445)	Prec@5 57.031 (63.670)
Epoch: [8][6510/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 2.4082 (2.8051)	Prec@1 45.312 (33.446)	Prec@5 69.531 (63.670)
Epoch: [8][6520/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 3.0517 (2.8051)	Prec@1 27.344 (33.447)	Prec@5 57.812 (63.670)
Epoch: [8][6530/14090]	Time 0.855 (0.764)	Data 0.001 (0.001)	Loss 2.6039 (2.8051)	Prec@1 36.719 (33.445)	Prec@5 68.750 (63.670)
Epoch: [8][6540/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 2.5655 (2.8050)	Prec@1 38.281 (33.445)	Prec@5 68.750 (63.673)
Epoch: [8][6550/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 2.6892 (2.8048)	Prec@1 32.812 (33.446)	Prec@5 64.062 (63.674)
Epoch: [8][6560/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 2.6194 (2.8048)	Prec@1 35.938 (33.447)	Prec@5 64.844 (63.674)
Epoch: [8][6570/14090]	Time 0.732 (0.764)	Data 0.001 (0.001)	Loss 2.8927 (2.8048)	Prec@1 28.125 (33.445)	Prec@5 64.844 (63.671)
Epoch: [8][6580/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 2.5992 (2.8047)	Prec@1 35.938 (33.445)	Prec@5 67.969 (63.672)
Epoch: [8][6590/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 2.7659 (2.8049)	Prec@1 35.156 (33.442)	Prec@5 64.844 (63.668)
Epoch: [8][6600/14090]	Time 0.845 (0.764)	Data 0.001 (0.001)	Loss 2.9177 (2.8049)	Prec@1 32.812 (33.444)	Prec@5 60.156 (63.666)
Epoch: [8][6610/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 2.9406 (2.8050)	Prec@1 32.812 (33.445)	Prec@5 65.625 (63.666)
Epoch: [8][6620/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 2.7501 (2.8050)	Prec@1 35.938 (33.444)	Prec@5 69.531 (63.666)
Epoch: [8][6630/14090]	Time 0.736 (0.764)	Data 0.001 (0.001)	Loss 2.7002 (2.8048)	Prec@1 38.281 (33.446)	Prec@5 64.062 (63.668)
Epoch: [8][6640/14090]	Time 0.759 (0.764)	Data 0.001 (0.001)	Loss 2.9390 (2.8049)	Prec@1 31.250 (33.443)	Prec@5 62.500 (63.668)
Epoch: [8][6650/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 2.5851 (2.8047)	Prec@1 35.938 (33.444)	Prec@5 69.531 (63.674)
Epoch: [8][6660/14090]	Time 0.766 (0.764)	Data 0.001 (0.001)	Loss 2.9489 (2.8049)	Prec@1 31.250 (33.442)	Prec@5 61.719 (63.669)
Epoch: [8][6670/14090]	Time 0.867 (0.764)	Data 0.001 (0.001)	Loss 2.7059 (2.8049)	Prec@1 42.969 (33.446)	Prec@5 64.844 (63.673)
Epoch: [8][6680/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 2.8383 (2.8048)	Prec@1 32.031 (33.446)	Prec@5 64.844 (63.673)
Epoch: [8][6690/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 2.6231 (2.8049)	Prec@1 35.156 (33.446)	Prec@5 71.875 (63.672)
Epoch: [8][6700/14090]	Time 0.758 (0.764)	Data 0.001 (0.001)	Loss 2.9235 (2.8050)	Prec@1 31.250 (33.442)	Prec@5 59.375 (63.668)
Epoch: [8][6710/14090]	Time 0.767 (0.764)	Data 0.001 (0.001)	Loss 2.7548 (2.8051)	Prec@1 37.500 (33.440)	Prec@5 64.062 (63.667)
Epoch: [8][6720/14090]	Time 0.758 (0.764)	Data 0.001 (0.001)	Loss 2.7981 (2.8051)	Prec@1 36.719 (33.441)	Prec@5 64.062 (63.666)
Epoch: [8][6730/14090]	Time 0.722 (0.764)	Data 0.001 (0.001)	Loss 2.8823 (2.8051)	Prec@1 35.938 (33.441)	Prec@5 57.812 (63.668)
Epoch: [8][6740/14090]	Time 0.869 (0.764)	Data 0.001 (0.001)	Loss 2.5768 (2.8050)	Prec@1 38.281 (33.443)	Prec@5 67.188 (63.670)
Epoch: [8][6750/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 2.7653 (2.8049)	Prec@1 39.062 (33.444)	Prec@5 60.938 (63.673)
Epoch: [8][6760/14090]	Time 0.728 (0.764)	Data 0.001 (0.001)	Loss 3.0007 (2.8049)	Prec@1 28.125 (33.445)	Prec@5 57.812 (63.674)
Epoch: [8][6770/14090]	Time 0.758 (0.764)	Data 0.001 (0.001)	Loss 2.5075 (2.8046)	Prec@1 36.719 (33.451)	Prec@5 71.094 (63.680)
Epoch: [8][6780/14090]	Time 0.776 (0.764)	Data 0.001 (0.001)	Loss 2.6245 (2.8048)	Prec@1 35.938 (33.448)	Prec@5 67.188 (63.676)
Epoch: [8][6790/14090]	Time 0.763 (0.764)	Data 0.001 (0.001)	Loss 2.5518 (2.8047)	Prec@1 39.062 (33.448)	Prec@5 69.531 (63.677)
Epoch: [8][6800/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 2.5585 (2.8048)	Prec@1 35.938 (33.445)	Prec@5 74.219 (63.677)
Epoch: [8][6810/14090]	Time 0.885 (0.764)	Data 0.001 (0.001)	Loss 2.8693 (2.8049)	Prec@1 39.062 (33.443)	Prec@5 61.719 (63.676)
Epoch: [8][6820/14090]	Time 0.748 (0.764)	Data 0.001 (0.001)	Loss 2.8208 (2.8049)	Prec@1 28.125 (33.442)	Prec@5 64.062 (63.674)
Epoch: [8][6830/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 2.7605 (2.8050)	Prec@1 37.500 (33.442)	Prec@5 67.188 (63.673)
Epoch: [8][6840/14090]	Time 0.733 (0.764)	Data 0.001 (0.001)	Loss 2.7976 (2.8050)	Prec@1 32.031 (33.442)	Prec@5 60.938 (63.670)
Epoch: [8][6850/14090]	Time 0.727 (0.764)	Data 0.001 (0.001)	Loss 2.6102 (2.8050)	Prec@1 40.625 (33.443)	Prec@5 62.500 (63.669)
Epoch: [8][6860/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 3.1788 (2.8051)	Prec@1 25.000 (33.440)	Prec@5 55.469 (63.664)
Epoch: [8][6870/14090]	Time 0.766 (0.764)	Data 0.001 (0.001)	Loss 2.7309 (2.8050)	Prec@1 33.594 (33.442)	Prec@5 60.938 (63.664)
Epoch: [8][6880/14090]	Time 0.872 (0.764)	Data 0.001 (0.001)	Loss 2.8937 (2.8050)	Prec@1 30.469 (33.444)	Prec@5 62.500 (63.663)
Epoch: [8][6890/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 2.7018 (2.8050)	Prec@1 36.719 (33.445)	Prec@5 65.625 (63.662)
Epoch: [8][6900/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 2.8400 (2.8051)	Prec@1 32.031 (33.444)	Prec@5 64.844 (63.657)
Epoch: [8][6910/14090]	Time 0.746 (0.764)	Data 0.001 (0.001)	Loss 2.9206 (2.8052)	Prec@1 35.938 (33.445)	Prec@5 60.938 (63.658)
Epoch: [8][6920/14090]	Time 0.765 (0.764)	Data 0.001 (0.001)	Loss 3.2294 (2.8052)	Prec@1 27.344 (33.444)	Prec@5 55.469 (63.655)
Epoch: [8][6930/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 2.7563 (2.8052)	Prec@1 34.375 (33.444)	Prec@5 64.062 (63.656)
Epoch: [8][6940/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.8227 (2.8054)	Prec@1 32.812 (33.442)	Prec@5 60.938 (63.651)
Epoch: [8][6950/14090]	Time 1.012 (0.764)	Data 0.001 (0.001)	Loss 3.1579 (2.8055)	Prec@1 28.906 (33.440)	Prec@5 57.031 (63.650)
Epoch: [8][6960/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 2.9722 (2.8056)	Prec@1 26.562 (33.440)	Prec@5 63.281 (63.648)
Epoch: [8][6970/14090]	Time 0.729 (0.764)	Data 0.001 (0.001)	Loss 2.7952 (2.8056)	Prec@1 35.156 (33.440)	Prec@5 65.625 (63.649)
Epoch: [8][6980/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 2.6251 (2.8055)	Prec@1 36.719 (33.441)	Prec@5 68.750 (63.651)
Epoch: [8][6990/14090]	Time 0.767 (0.764)	Data 0.001 (0.001)	Loss 3.0641 (2.8057)	Prec@1 27.344 (33.440)	Prec@5 57.031 (63.646)
Epoch: [8][7000/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 2.9502 (2.8058)	Prec@1 26.562 (33.438)	Prec@5 59.375 (63.644)
Epoch: [8][7010/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 2.8052 (2.8058)	Prec@1 35.156 (33.440)	Prec@5 60.938 (63.643)
Epoch: [8][7020/14090]	Time 0.827 (0.764)	Data 0.001 (0.001)	Loss 2.6547 (2.8058)	Prec@1 35.156 (33.446)	Prec@5 68.750 (63.645)
Epoch: [8][7030/14090]	Time 0.734 (0.764)	Data 0.001 (0.001)	Loss 2.8245 (2.8056)	Prec@1 32.031 (33.446)	Prec@5 64.844 (63.647)
Epoch: [8][7040/14090]	Time 0.721 (0.764)	Data 0.001 (0.001)	Loss 2.8975 (2.8058)	Prec@1 32.031 (33.444)	Prec@5 61.719 (63.646)
Epoch: [8][7050/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.6973 (2.8056)	Prec@1 37.500 (33.446)	Prec@5 70.312 (63.649)
Epoch: [8][7060/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 3.1282 (2.8056)	Prec@1 26.562 (33.445)	Prec@5 56.250 (63.650)
Epoch: [8][7070/14090]	Time 0.746 (0.764)	Data 0.001 (0.001)	Loss 2.5248 (2.8056)	Prec@1 32.031 (33.445)	Prec@5 72.656 (63.650)
Epoch: [8][7080/14090]	Time 0.746 (0.764)	Data 0.001 (0.001)	Loss 2.7685 (2.8056)	Prec@1 28.906 (33.445)	Prec@5 64.062 (63.650)
Epoch: [8][7090/14090]	Time 0.884 (0.764)	Data 0.001 (0.001)	Loss 3.0262 (2.8056)	Prec@1 30.469 (33.445)	Prec@5 59.375 (63.649)
Epoch: [8][7100/14090]	Time 0.734 (0.764)	Data 0.001 (0.001)	Loss 2.5764 (2.8055)	Prec@1 36.719 (33.448)	Prec@5 67.188 (63.651)
Epoch: [8][7110/14090]	Time 0.740 (0.764)	Data 0.001 (0.001)	Loss 2.8174 (2.8056)	Prec@1 35.156 (33.446)	Prec@5 64.844 (63.652)
Epoch: [8][7120/14090]	Time 0.730 (0.764)	Data 0.001 (0.001)	Loss 2.5727 (2.8056)	Prec@1 38.281 (33.446)	Prec@5 65.625 (63.650)
Epoch: [8][7130/14090]	Time 0.774 (0.764)	Data 0.001 (0.001)	Loss 2.7893 (2.8057)	Prec@1 37.500 (33.447)	Prec@5 66.406 (63.648)
Epoch: [8][7140/14090]	Time 0.739 (0.764)	Data 0.001 (0.001)	Loss 2.7677 (2.8057)	Prec@1 35.156 (33.446)	Prec@5 65.625 (63.646)
Epoch: [8][7150/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 2.7283 (2.8057)	Prec@1 38.281 (33.447)	Prec@5 62.500 (63.648)
Epoch: [8][7160/14090]	Time 0.877 (0.764)	Data 0.001 (0.001)	Loss 2.7543 (2.8056)	Prec@1 35.156 (33.446)	Prec@5 64.844 (63.650)
Epoch: [8][7170/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 2.8835 (2.8056)	Prec@1 31.250 (33.446)	Prec@5 64.062 (63.650)
Epoch: [8][7180/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 2.6911 (2.8057)	Prec@1 30.469 (33.447)	Prec@5 64.062 (63.649)
Epoch: [8][7190/14090]	Time 0.725 (0.764)	Data 0.001 (0.001)	Loss 2.5016 (2.8056)	Prec@1 39.844 (33.449)	Prec@5 73.438 (63.652)
Epoch: [8][7200/14090]	Time 0.727 (0.764)	Data 0.001 (0.001)	Loss 2.5569 (2.8055)	Prec@1 39.844 (33.452)	Prec@5 71.094 (63.653)
Epoch: [8][7210/14090]	Time 0.762 (0.764)	Data 0.001 (0.001)	Loss 2.7713 (2.8056)	Prec@1 35.938 (33.449)	Prec@5 63.281 (63.652)
Epoch: [8][7220/14090]	Time 0.748 (0.764)	Data 0.001 (0.001)	Loss 2.7120 (2.8056)	Prec@1 37.500 (33.445)	Prec@5 66.406 (63.649)
Epoch: [8][7230/14090]	Time 0.872 (0.764)	Data 0.001 (0.001)	Loss 2.7645 (2.8057)	Prec@1 33.594 (33.445)	Prec@5 65.625 (63.651)
Epoch: [8][7240/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 2.8264 (2.8057)	Prec@1 28.125 (33.442)	Prec@5 67.969 (63.649)
Epoch: [8][7250/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 2.5784 (2.8056)	Prec@1 36.719 (33.444)	Prec@5 66.406 (63.650)
Epoch: [8][7260/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.7179 (2.8057)	Prec@1 32.031 (33.441)	Prec@5 65.625 (63.649)
Epoch: [8][7270/14090]	Time 0.760 (0.764)	Data 0.001 (0.001)	Loss 3.0268 (2.8056)	Prec@1 32.031 (33.443)	Prec@5 58.594 (63.649)
Epoch: [8][7280/14090]	Time 0.747 (0.764)	Data 0.002 (0.001)	Loss 2.5666 (2.8056)	Prec@1 38.281 (33.442)	Prec@5 67.188 (63.650)
Epoch: [8][7290/14090]	Time 0.760 (0.764)	Data 0.001 (0.001)	Loss 2.8112 (2.8056)	Prec@1 28.906 (33.440)	Prec@5 64.062 (63.650)
Epoch: [8][7300/14090]	Time 0.857 (0.764)	Data 0.001 (0.001)	Loss 2.4053 (2.8056)	Prec@1 40.625 (33.440)	Prec@5 68.750 (63.649)
Epoch: [8][7310/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 2.6189 (2.8055)	Prec@1 34.375 (33.439)	Prec@5 67.188 (63.651)
Epoch: [8][7320/14090]	Time 0.759 (0.764)	Data 0.001 (0.001)	Loss 2.9143 (2.8055)	Prec@1 27.344 (33.438)	Prec@5 60.156 (63.651)
Epoch: [8][7330/14090]	Time 0.735 (0.764)	Data 0.001 (0.001)	Loss 3.0466 (2.8055)	Prec@1 26.562 (33.436)	Prec@5 60.938 (63.652)
Epoch: [8][7340/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 2.8127 (2.8055)	Prec@1 30.469 (33.435)	Prec@5 63.281 (63.652)
Epoch: [8][7350/14090]	Time 0.740 (0.764)	Data 0.001 (0.001)	Loss 2.9460 (2.8055)	Prec@1 34.375 (33.435)	Prec@5 58.594 (63.654)
Epoch: [8][7360/14090]	Time 0.772 (0.764)	Data 0.001 (0.001)	Loss 2.9552 (2.8056)	Prec@1 32.812 (33.433)	Prec@5 60.156 (63.650)
Epoch: [8][7370/14090]	Time 0.885 (0.764)	Data 0.001 (0.001)	Loss 2.7417 (2.8056)	Prec@1 34.375 (33.431)	Prec@5 66.406 (63.648)
Epoch: [8][7380/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 3.2260 (2.8057)	Prec@1 25.781 (33.430)	Prec@5 57.812 (63.645)
Epoch: [8][7390/14090]	Time 0.727 (0.764)	Data 0.001 (0.001)	Loss 2.7858 (2.8058)	Prec@1 28.125 (33.430)	Prec@5 65.625 (63.645)
Epoch: [8][7400/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 2.5840 (2.8058)	Prec@1 39.062 (33.429)	Prec@5 68.750 (63.646)
Epoch: [8][7410/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 2.8686 (2.8059)	Prec@1 35.156 (33.430)	Prec@5 53.906 (63.642)
Epoch: [8][7420/14090]	Time 0.737 (0.764)	Data 0.000 (0.001)	Loss 2.8939 (2.8058)	Prec@1 32.031 (33.430)	Prec@5 56.250 (63.641)
Epoch: [8][7430/14090]	Time 0.729 (0.764)	Data 0.001 (0.001)	Loss 2.8410 (2.8059)	Prec@1 33.594 (33.429)	Prec@5 65.625 (63.642)
Epoch: [8][7440/14090]	Time 0.852 (0.764)	Data 0.001 (0.001)	Loss 2.8622 (2.8058)	Prec@1 35.156 (33.432)	Prec@5 60.938 (63.643)
Epoch: [8][7450/14090]	Time 0.758 (0.764)	Data 0.001 (0.001)	Loss 3.0804 (2.8057)	Prec@1 28.125 (33.434)	Prec@5 56.250 (63.643)
Epoch: [8][7460/14090]	Time 0.759 (0.764)	Data 0.001 (0.001)	Loss 2.7312 (2.8056)	Prec@1 35.156 (33.435)	Prec@5 67.188 (63.644)
Epoch: [8][7470/14090]	Time 0.736 (0.764)	Data 0.001 (0.001)	Loss 2.9269 (2.8056)	Prec@1 33.594 (33.437)	Prec@5 64.844 (63.643)
Epoch: [8][7480/14090]	Time 0.761 (0.764)	Data 0.001 (0.001)	Loss 2.7601 (2.8056)	Prec@1 32.812 (33.435)	Prec@5 65.625 (63.643)
Epoch: [8][7490/14090]	Time 0.763 (0.764)	Data 0.001 (0.001)	Loss 2.8017 (2.8057)	Prec@1 36.719 (33.434)	Prec@5 64.062 (63.642)
Epoch: [8][7500/14090]	Time 0.720 (0.764)	Data 0.001 (0.001)	Loss 2.5960 (2.8055)	Prec@1 35.156 (33.436)	Prec@5 66.406 (63.644)
Epoch: [8][7510/14090]	Time 0.884 (0.764)	Data 0.001 (0.001)	Loss 2.7073 (2.8055)	Prec@1 32.031 (33.436)	Prec@5 64.062 (63.644)
Epoch: [8][7520/14090]	Time 0.744 (0.764)	Data 0.001 (0.001)	Loss 3.1409 (2.8055)	Prec@1 28.125 (33.435)	Prec@5 59.375 (63.646)
Epoch: [8][7530/14090]	Time 0.730 (0.764)	Data 0.001 (0.001)	Loss 2.6266 (2.8055)	Prec@1 35.938 (33.436)	Prec@5 69.531 (63.645)
Epoch: [8][7540/14090]	Time 0.722 (0.764)	Data 0.001 (0.001)	Loss 3.0159 (2.8054)	Prec@1 27.344 (33.435)	Prec@5 64.062 (63.647)
Epoch: [8][7550/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 2.9765 (2.8054)	Prec@1 28.906 (33.434)	Prec@5 61.719 (63.648)
Epoch: [8][7560/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 2.5234 (2.8054)	Prec@1 39.844 (33.433)	Prec@5 65.625 (63.647)
Epoch: [8][7570/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 2.6280 (2.8055)	Prec@1 34.375 (33.431)	Prec@5 68.750 (63.647)
Epoch: [8][7580/14090]	Time 0.889 (0.764)	Data 0.001 (0.001)	Loss 2.8073 (2.8054)	Prec@1 28.906 (33.432)	Prec@5 69.531 (63.649)
Epoch: [8][7590/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 2.7834 (2.8053)	Prec@1 33.594 (33.431)	Prec@5 64.844 (63.649)
Epoch: [8][7600/14090]	Time 0.776 (0.764)	Data 0.001 (0.001)	Loss 2.9250 (2.8054)	Prec@1 34.375 (33.433)	Prec@5 63.281 (63.649)
Epoch: [8][7610/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 2.9029 (2.8055)	Prec@1 33.594 (33.432)	Prec@5 64.844 (63.649)
Epoch: [8][7620/14090]	Time 0.726 (0.764)	Data 0.001 (0.001)	Loss 3.0851 (2.8055)	Prec@1 28.906 (33.431)	Prec@5 57.812 (63.648)
Epoch: [8][7630/14090]	Time 0.734 (0.764)	Data 0.001 (0.001)	Loss 2.7941 (2.8055)	Prec@1 34.375 (33.432)	Prec@5 64.844 (63.648)
Epoch: [8][7640/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 2.6877 (2.8055)	Prec@1 34.375 (33.430)	Prec@5 65.625 (63.648)
Epoch: [8][7650/14090]	Time 0.882 (0.764)	Data 0.001 (0.001)	Loss 3.0443 (2.8055)	Prec@1 26.562 (33.431)	Prec@5 54.688 (63.648)
Epoch: [8][7660/14090]	Time 0.746 (0.764)	Data 0.001 (0.001)	Loss 2.8234 (2.8054)	Prec@1 30.469 (33.432)	Prec@5 64.844 (63.648)
Epoch: [8][7670/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 2.8386 (2.8054)	Prec@1 32.812 (33.433)	Prec@5 60.938 (63.651)
Epoch: [8][7680/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 2.8514 (2.8053)	Prec@1 30.469 (33.435)	Prec@5 64.062 (63.650)
Epoch: [8][7690/14090]	Time 0.725 (0.764)	Data 0.001 (0.001)	Loss 2.5532 (2.8055)	Prec@1 38.281 (33.434)	Prec@5 71.875 (63.648)
Epoch: [8][7700/14090]	Time 0.768 (0.764)	Data 0.001 (0.001)	Loss 2.9630 (2.8055)	Prec@1 31.250 (33.433)	Prec@5 61.719 (63.648)
Epoch: [8][7710/14090]	Time 0.743 (0.764)	Data 0.001 (0.001)	Loss 2.8153 (2.8055)	Prec@1 32.812 (33.434)	Prec@5 64.844 (63.648)
Epoch: [8][7720/14090]	Time 0.853 (0.764)	Data 0.001 (0.001)	Loss 2.8890 (2.8055)	Prec@1 26.562 (33.435)	Prec@5 60.938 (63.648)
Epoch: [8][7730/14090]	Time 0.730 (0.764)	Data 0.001 (0.001)	Loss 2.7280 (2.8054)	Prec@1 37.500 (33.438)	Prec@5 66.406 (63.649)
Epoch: [8][7740/14090]	Time 0.729 (0.764)	Data 0.001 (0.001)	Loss 2.6550 (2.8054)	Prec@1 31.250 (33.439)	Prec@5 64.062 (63.648)
Epoch: [8][7750/14090]	Time 0.739 (0.764)	Data 0.001 (0.001)	Loss 2.7501 (2.8055)	Prec@1 39.062 (33.436)	Prec@5 64.844 (63.645)
Epoch: [8][7760/14090]	Time 0.765 (0.764)	Data 0.001 (0.001)	Loss 2.8824 (2.8056)	Prec@1 32.031 (33.438)	Prec@5 64.062 (63.645)
Epoch: [8][7770/14090]	Time 0.729 (0.764)	Data 0.001 (0.001)	Loss 2.9825 (2.8056)	Prec@1 33.594 (33.439)	Prec@5 58.594 (63.644)
Epoch: [8][7780/14090]	Time 0.777 (0.764)	Data 0.001 (0.001)	Loss 2.8353 (2.8056)	Prec@1 33.594 (33.438)	Prec@5 64.062 (63.644)
Epoch: [8][7790/14090]	Time 0.847 (0.764)	Data 0.001 (0.001)	Loss 2.3100 (2.8055)	Prec@1 35.938 (33.441)	Prec@5 76.562 (63.644)
Epoch: [8][7800/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 2.6160 (2.8054)	Prec@1 32.812 (33.444)	Prec@5 64.062 (63.644)
Epoch: [8][7810/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 2.8134 (2.8053)	Prec@1 35.156 (33.448)	Prec@5 63.281 (63.647)
Epoch: [8][7820/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 2.8305 (2.8053)	Prec@1 31.250 (33.448)	Prec@5 61.719 (63.645)
Epoch: [8][7830/14090]	Time 0.744 (0.764)	Data 0.001 (0.001)	Loss 2.7566 (2.8053)	Prec@1 34.375 (33.446)	Prec@5 63.281 (63.645)
Epoch: [8][7840/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 2.7508 (2.8053)	Prec@1 34.375 (33.446)	Prec@5 67.969 (63.648)
Epoch: [8][7850/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 2.7661 (2.8052)	Prec@1 32.812 (33.447)	Prec@5 63.281 (63.647)
Epoch: [8][7860/14090]	Time 0.863 (0.764)	Data 0.001 (0.001)	Loss 2.9122 (2.8052)	Prec@1 29.688 (33.447)	Prec@5 61.719 (63.648)
Epoch: [8][7870/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 2.7832 (2.8053)	Prec@1 42.188 (33.450)	Prec@5 61.719 (63.649)
Epoch: [8][7880/14090]	Time 0.739 (0.764)	Data 0.001 (0.001)	Loss 2.8273 (2.8051)	Prec@1 29.688 (33.452)	Prec@5 60.938 (63.652)
Epoch: [8][7890/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.7989 (2.8051)	Prec@1 31.250 (33.452)	Prec@5 64.844 (63.654)
Epoch: [8][7900/14090]	Time 0.736 (0.764)	Data 0.001 (0.001)	Loss 2.7754 (2.8051)	Prec@1 33.594 (33.453)	Prec@5 65.625 (63.654)
Epoch: [8][7910/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 2.8468 (2.8051)	Prec@1 31.250 (33.452)	Prec@5 64.844 (63.654)
Epoch: [8][7920/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 2.8544 (2.8051)	Prec@1 32.031 (33.454)	Prec@5 64.062 (63.655)
Epoch: [8][7930/14090]	Time 0.862 (0.764)	Data 0.001 (0.001)	Loss 2.5031 (2.8051)	Prec@1 37.500 (33.452)	Prec@5 73.438 (63.656)
Epoch: [8][7940/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.4746 (2.8051)	Prec@1 42.188 (33.453)	Prec@5 72.656 (63.657)
Epoch: [8][7950/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 2.7486 (2.8052)	Prec@1 37.500 (33.451)	Prec@5 64.062 (63.656)
Epoch: [8][7960/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 2.7884 (2.8051)	Prec@1 34.375 (33.453)	Prec@5 62.500 (63.658)
Epoch: [8][7970/14090]	Time 0.761 (0.764)	Data 0.001 (0.001)	Loss 2.7055 (2.8052)	Prec@1 34.375 (33.449)	Prec@5 65.625 (63.654)
Epoch: [8][7980/14090]	Time 0.762 (0.764)	Data 0.001 (0.001)	Loss 2.7231 (2.8052)	Prec@1 33.594 (33.450)	Prec@5 66.406 (63.654)
Epoch: [8][7990/14090]	Time 0.760 (0.764)	Data 0.001 (0.001)	Loss 2.9030 (2.8053)	Prec@1 33.594 (33.448)	Prec@5 60.938 (63.651)
Epoch: [8][8000/14090]	Time 0.853 (0.764)	Data 0.001 (0.001)	Loss 2.8885 (2.8054)	Prec@1 28.125 (33.446)	Prec@5 65.625 (63.651)
Epoch: [8][8010/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 2.9082 (2.8055)	Prec@1 34.375 (33.443)	Prec@5 61.719 (63.648)
Epoch: [8][8020/14090]	Time 0.739 (0.764)	Data 0.001 (0.001)	Loss 2.9252 (2.8056)	Prec@1 28.906 (33.441)	Prec@5 58.594 (63.645)
Epoch: [8][8030/14090]	Time 0.764 (0.764)	Data 0.002 (0.001)	Loss 2.6583 (2.8055)	Prec@1 35.938 (33.443)	Prec@5 71.094 (63.648)
Epoch: [8][8040/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.8273 (2.8055)	Prec@1 28.125 (33.444)	Prec@5 65.625 (63.647)
Epoch: [8][8050/14090]	Time 0.782 (0.764)	Data 0.001 (0.001)	Loss 2.9792 (2.8055)	Prec@1 28.906 (33.445)	Prec@5 60.938 (63.648)
Epoch: [8][8060/14090]	Time 0.726 (0.764)	Data 0.001 (0.001)	Loss 2.9049 (2.8053)	Prec@1 29.688 (33.446)	Prec@5 59.375 (63.648)
Epoch: [8][8070/14090]	Time 0.990 (0.764)	Data 0.001 (0.001)	Loss 2.9953 (2.8054)	Prec@1 31.250 (33.447)	Prec@5 63.281 (63.649)
Epoch: [8][8080/14090]	Time 0.732 (0.764)	Data 0.001 (0.001)	Loss 2.7964 (2.8054)	Prec@1 34.375 (33.446)	Prec@5 60.938 (63.649)
Epoch: [8][8090/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 2.5780 (2.8054)	Prec@1 38.281 (33.445)	Prec@5 70.312 (63.649)
Epoch: [8][8100/14090]	Time 0.732 (0.764)	Data 0.002 (0.001)	Loss 3.2982 (2.8054)	Prec@1 24.219 (33.444)	Prec@5 56.250 (63.651)
Epoch: [8][8110/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 2.6377 (2.8054)	Prec@1 41.406 (33.443)	Prec@5 64.062 (63.649)
Epoch: [8][8120/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 2.8360 (2.8054)	Prec@1 29.688 (33.440)	Prec@5 61.719 (63.648)
Epoch: [8][8130/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 2.9338 (2.8053)	Prec@1 30.469 (33.440)	Prec@5 60.938 (63.652)
Epoch: [8][8140/14090]	Time 0.847 (0.764)	Data 0.001 (0.001)	Loss 3.0926 (2.8053)	Prec@1 32.812 (33.440)	Prec@5 63.281 (63.653)
Epoch: [8][8150/14090]	Time 0.734 (0.764)	Data 0.001 (0.001)	Loss 2.8240 (2.8054)	Prec@1 32.031 (33.439)	Prec@5 61.719 (63.651)
Epoch: [8][8160/14090]	Time 0.733 (0.764)	Data 0.001 (0.001)	Loss 2.4643 (2.8055)	Prec@1 33.594 (33.438)	Prec@5 70.312 (63.650)
Epoch: [8][8170/14090]	Time 0.767 (0.764)	Data 0.001 (0.001)	Loss 2.9355 (2.8055)	Prec@1 34.375 (33.437)	Prec@5 59.375 (63.649)
Epoch: [8][8180/14090]	Time 0.735 (0.764)	Data 0.001 (0.001)	Loss 2.7419 (2.8056)	Prec@1 35.156 (33.437)	Prec@5 66.406 (63.649)
Epoch: [8][8190/14090]	Time 0.761 (0.764)	Data 0.001 (0.001)	Loss 2.9607 (2.8056)	Prec@1 25.781 (33.437)	Prec@5 62.500 (63.649)
Epoch: [8][8200/14090]	Time 0.758 (0.764)	Data 0.001 (0.001)	Loss 2.7754 (2.8055)	Prec@1 41.406 (33.438)	Prec@5 65.625 (63.651)
Epoch: [8][8210/14090]	Time 0.830 (0.764)	Data 0.001 (0.001)	Loss 2.7317 (2.8055)	Prec@1 30.469 (33.439)	Prec@5 64.062 (63.653)
Epoch: [8][8220/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 2.7141 (2.8055)	Prec@1 32.812 (33.440)	Prec@5 60.156 (63.651)
Epoch: [8][8230/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 2.8904 (2.8055)	Prec@1 29.688 (33.440)	Prec@5 59.375 (63.650)
Epoch: [8][8240/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 2.6289 (2.8055)	Prec@1 34.375 (33.441)	Prec@5 62.500 (63.649)
Epoch: [8][8250/14090]	Time 0.760 (0.764)	Data 0.001 (0.001)	Loss 2.9425 (2.8055)	Prec@1 28.906 (33.441)	Prec@5 60.938 (63.648)
Epoch: [8][8260/14090]	Time 0.728 (0.764)	Data 0.001 (0.001)	Loss 2.9416 (2.8055)	Prec@1 28.125 (33.442)	Prec@5 64.062 (63.648)
Epoch: [8][8270/14090]	Time 0.759 (0.764)	Data 0.001 (0.001)	Loss 2.8252 (2.8055)	Prec@1 32.031 (33.443)	Prec@5 60.938 (63.648)
Epoch: [8][8280/14090]	Time 0.873 (0.764)	Data 0.001 (0.001)	Loss 2.9069 (2.8056)	Prec@1 27.344 (33.441)	Prec@5 64.062 (63.645)
Epoch: [8][8290/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 2.6619 (2.8056)	Prec@1 36.719 (33.442)	Prec@5 61.719 (63.644)
Epoch: [8][8300/14090]	Time 0.761 (0.764)	Data 0.001 (0.001)	Loss 2.9174 (2.8056)	Prec@1 28.906 (33.440)	Prec@5 60.156 (63.644)
Epoch: [8][8310/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 2.5888 (2.8056)	Prec@1 38.281 (33.439)	Prec@5 71.875 (63.643)
Epoch: [8][8320/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 2.9663 (2.8057)	Prec@1 25.781 (33.438)	Prec@5 60.938 (63.642)
Epoch: [8][8330/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 3.0271 (2.8056)	Prec@1 32.031 (33.439)	Prec@5 57.812 (63.642)
Epoch: [8][8340/14090]	Time 0.722 (0.764)	Data 0.001 (0.001)	Loss 2.7807 (2.8057)	Prec@1 32.812 (33.437)	Prec@5 65.625 (63.642)
Epoch: [8][8350/14090]	Time 0.851 (0.764)	Data 0.001 (0.001)	Loss 2.5281 (2.8056)	Prec@1 39.062 (33.437)	Prec@5 66.406 (63.641)
Epoch: [8][8360/14090]	Time 0.723 (0.764)	Data 0.001 (0.001)	Loss 3.0405 (2.8057)	Prec@1 26.562 (33.438)	Prec@5 56.250 (63.641)
Epoch: [8][8370/14090]	Time 0.745 (0.764)	Data 0.001 (0.001)	Loss 2.7329 (2.8056)	Prec@1 32.031 (33.440)	Prec@5 64.062 (63.642)
Epoch: [8][8380/14090]	Time 0.728 (0.764)	Data 0.001 (0.001)	Loss 2.8414 (2.8056)	Prec@1 32.031 (33.439)	Prec@5 62.500 (63.642)
Epoch: [8][8390/14090]	Time 0.730 (0.764)	Data 0.001 (0.001)	Loss 3.1663 (2.8057)	Prec@1 29.688 (33.436)	Prec@5 57.031 (63.639)
Epoch: [8][8400/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 2.7593 (2.8056)	Prec@1 32.031 (33.437)	Prec@5 66.406 (63.641)
Epoch: [8][8410/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 2.8059 (2.8057)	Prec@1 31.250 (33.435)	Prec@5 64.844 (63.638)
Epoch: [8][8420/14090]	Time 0.854 (0.764)	Data 0.001 (0.001)	Loss 2.8495 (2.8058)	Prec@1 34.375 (33.434)	Prec@5 63.281 (63.636)
Epoch: [8][8430/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 2.8016 (2.8059)	Prec@1 32.812 (33.434)	Prec@5 65.625 (63.635)
Epoch: [8][8440/14090]	Time 0.770 (0.764)	Data 0.001 (0.001)	Loss 3.1082 (2.8059)	Prec@1 25.781 (33.434)	Prec@5 56.250 (63.634)
Epoch: [8][8450/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 2.8647 (2.8058)	Prec@1 36.719 (33.436)	Prec@5 59.375 (63.635)
Epoch: [8][8460/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 2.9878 (2.8058)	Prec@1 28.906 (33.436)	Prec@5 57.031 (63.635)
Epoch: [8][8470/14090]	Time 0.745 (0.764)	Data 0.001 (0.001)	Loss 2.6542 (2.8058)	Prec@1 32.031 (33.434)	Prec@5 68.750 (63.635)
Epoch: [8][8480/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 3.0665 (2.8060)	Prec@1 29.688 (33.430)	Prec@5 59.375 (63.631)
Epoch: [8][8490/14090]	Time 0.868 (0.764)	Data 0.001 (0.001)	Loss 2.9739 (2.8060)	Prec@1 28.125 (33.428)	Prec@5 59.375 (63.630)
Epoch: [8][8500/14090]	Time 0.758 (0.764)	Data 0.001 (0.001)	Loss 3.0060 (2.8061)	Prec@1 31.250 (33.425)	Prec@5 55.469 (63.629)
Epoch: [8][8510/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 2.7973 (2.8061)	Prec@1 30.469 (33.424)	Prec@5 70.312 (63.632)
Epoch: [8][8520/14090]	Time 0.768 (0.764)	Data 0.001 (0.001)	Loss 2.9316 (2.8062)	Prec@1 36.719 (33.421)	Prec@5 62.500 (63.629)
Epoch: [8][8530/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.8567 (2.8063)	Prec@1 29.688 (33.420)	Prec@5 62.500 (63.627)
Epoch: [8][8540/14090]	Time 0.735 (0.764)	Data 0.001 (0.001)	Loss 3.0737 (2.8063)	Prec@1 30.469 (33.422)	Prec@5 54.688 (63.626)
Epoch: [8][8550/14090]	Time 0.779 (0.764)	Data 0.001 (0.001)	Loss 2.7889 (2.8063)	Prec@1 34.375 (33.421)	Prec@5 64.844 (63.625)
Epoch: [8][8560/14090]	Time 0.850 (0.764)	Data 0.001 (0.001)	Loss 2.7869 (2.8063)	Prec@1 32.031 (33.422)	Prec@5 64.844 (63.626)
Epoch: [8][8570/14090]	Time 0.725 (0.764)	Data 0.001 (0.001)	Loss 2.7664 (2.8062)	Prec@1 31.250 (33.420)	Prec@5 65.625 (63.628)
Epoch: [8][8580/14090]	Time 0.766 (0.764)	Data 0.001 (0.001)	Loss 2.8326 (2.8062)	Prec@1 27.344 (33.421)	Prec@5 61.719 (63.630)
Epoch: [8][8590/14090]	Time 0.782 (0.764)	Data 0.001 (0.001)	Loss 2.5280 (2.8063)	Prec@1 38.281 (33.421)	Prec@5 69.531 (63.629)
Epoch: [8][8600/14090]	Time 0.769 (0.764)	Data 0.001 (0.001)	Loss 2.7375 (2.8064)	Prec@1 35.938 (33.419)	Prec@5 58.594 (63.627)
Epoch: [8][8610/14090]	Time 0.729 (0.764)	Data 0.001 (0.001)	Loss 2.7753 (2.8063)	Prec@1 36.719 (33.420)	Prec@5 68.750 (63.629)
Epoch: [8][8620/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 2.5144 (2.8064)	Prec@1 42.188 (33.419)	Prec@5 73.438 (63.628)
Epoch: [8][8630/14090]	Time 0.882 (0.764)	Data 0.001 (0.001)	Loss 3.0513 (2.8064)	Prec@1 32.812 (33.419)	Prec@5 57.812 (63.625)
Epoch: [8][8640/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 2.9646 (2.8064)	Prec@1 29.688 (33.418)	Prec@5 57.812 (63.625)
Epoch: [8][8650/14090]	Time 0.729 (0.764)	Data 0.001 (0.001)	Loss 2.4657 (2.8064)	Prec@1 41.406 (33.418)	Prec@5 71.875 (63.625)
Epoch: [8][8660/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 3.0468 (2.8064)	Prec@1 31.250 (33.419)	Prec@5 63.281 (63.627)
Epoch: [8][8670/14090]	Time 0.746 (0.763)	Data 0.001 (0.001)	Loss 2.7882 (2.8063)	Prec@1 31.250 (33.420)	Prec@5 67.188 (63.628)
Epoch: [8][8680/14090]	Time 0.751 (0.763)	Data 0.001 (0.001)	Loss 2.8805 (2.8064)	Prec@1 33.594 (33.419)	Prec@5 59.375 (63.626)
Epoch: [8][8690/14090]	Time 0.746 (0.763)	Data 0.001 (0.001)	Loss 2.5894 (2.8063)	Prec@1 35.156 (33.420)	Prec@5 71.875 (63.629)
Epoch: [8][8700/14090]	Time 0.851 (0.763)	Data 0.001 (0.001)	Loss 2.8554 (2.8063)	Prec@1 35.156 (33.421)	Prec@5 63.281 (63.628)
Epoch: [8][8710/14090]	Time 0.735 (0.763)	Data 0.001 (0.001)	Loss 2.8800 (2.8063)	Prec@1 36.719 (33.422)	Prec@5 60.938 (63.629)
Epoch: [8][8720/14090]	Time 0.738 (0.763)	Data 0.001 (0.001)	Loss 2.6301 (2.8062)	Prec@1 32.812 (33.425)	Prec@5 67.969 (63.630)
Epoch: [8][8730/14090]	Time 0.735 (0.763)	Data 0.001 (0.001)	Loss 2.7104 (2.8061)	Prec@1 36.719 (33.426)	Prec@5 62.500 (63.632)
Epoch: [8][8740/14090]	Time 0.724 (0.763)	Data 0.001 (0.001)	Loss 3.0034 (2.8061)	Prec@1 32.031 (33.425)	Prec@5 57.812 (63.631)
Epoch: [8][8750/14090]	Time 0.770 (0.763)	Data 0.001 (0.001)	Loss 2.8137 (2.8061)	Prec@1 35.938 (33.425)	Prec@5 66.406 (63.632)
Epoch: [8][8760/14090]	Time 0.772 (0.763)	Data 0.001 (0.001)	Loss 2.5264 (2.8062)	Prec@1 35.156 (33.425)	Prec@5 71.094 (63.631)
Epoch: [8][8770/14090]	Time 0.841 (0.763)	Data 0.001 (0.001)	Loss 2.7957 (2.8061)	Prec@1 35.938 (33.426)	Prec@5 63.281 (63.632)
Epoch: [8][8780/14090]	Time 0.757 (0.763)	Data 0.001 (0.001)	Loss 2.8963 (2.8061)	Prec@1 31.250 (33.426)	Prec@5 61.719 (63.633)
Epoch: [8][8790/14090]	Time 0.751 (0.763)	Data 0.001 (0.001)	Loss 2.8181 (2.8061)	Prec@1 26.562 (33.426)	Prec@5 67.969 (63.633)
Epoch: [8][8800/14090]	Time 0.755 (0.763)	Data 0.001 (0.001)	Loss 2.9155 (2.8060)	Prec@1 36.719 (33.429)	Prec@5 60.938 (63.633)
Epoch: [8][8810/14090]	Time 0.763 (0.763)	Data 0.001 (0.001)	Loss 2.9654 (2.8061)	Prec@1 30.469 (33.427)	Prec@5 58.594 (63.632)
Epoch: [8][8820/14090]	Time 0.738 (0.763)	Data 0.001 (0.001)	Loss 2.5016 (2.8060)	Prec@1 36.719 (33.428)	Prec@5 69.531 (63.633)
Epoch: [8][8830/14090]	Time 0.755 (0.763)	Data 0.001 (0.001)	Loss 2.8334 (2.8061)	Prec@1 30.469 (33.426)	Prec@5 60.938 (63.630)
Epoch: [8][8840/14090]	Time 0.860 (0.763)	Data 0.001 (0.001)	Loss 2.7019 (2.8061)	Prec@1 39.844 (33.426)	Prec@5 69.531 (63.628)
Epoch: [8][8850/14090]	Time 0.737 (0.763)	Data 0.001 (0.001)	Loss 2.9036 (2.8062)	Prec@1 27.344 (33.425)	Prec@5 61.719 (63.627)
Epoch: [8][8860/14090]	Time 0.751 (0.763)	Data 0.001 (0.001)	Loss 2.8022 (2.8061)	Prec@1 33.594 (33.423)	Prec@5 67.969 (63.630)
Epoch: [8][8870/14090]	Time 0.762 (0.763)	Data 0.001 (0.001)	Loss 2.8323 (2.8061)	Prec@1 37.500 (33.424)	Prec@5 57.812 (63.627)
Epoch: [8][8880/14090]	Time 0.727 (0.763)	Data 0.001 (0.001)	Loss 2.6915 (2.8062)	Prec@1 34.375 (33.421)	Prec@5 62.500 (63.626)
Epoch: [8][8890/14090]	Time 0.740 (0.763)	Data 0.001 (0.001)	Loss 2.9020 (2.8062)	Prec@1 29.688 (33.421)	Prec@5 64.844 (63.624)
Epoch: [8][8900/14090]	Time 0.739 (0.763)	Data 0.001 (0.001)	Loss 2.6899 (2.8062)	Prec@1 36.719 (33.423)	Prec@5 64.844 (63.625)
Epoch: [8][8910/14090]	Time 0.818 (0.763)	Data 0.001 (0.001)	Loss 2.7761 (2.8062)	Prec@1 29.688 (33.423)	Prec@5 67.188 (63.625)
Epoch: [8][8920/14090]	Time 0.742 (0.763)	Data 0.001 (0.001)	Loss 2.7083 (2.8061)	Prec@1 36.719 (33.424)	Prec@5 65.625 (63.626)
Epoch: [8][8930/14090]	Time 0.747 (0.763)	Data 0.001 (0.001)	Loss 3.0585 (2.8062)	Prec@1 32.031 (33.422)	Prec@5 64.062 (63.624)
Epoch: [8][8940/14090]	Time 0.739 (0.763)	Data 0.001 (0.001)	Loss 2.7641 (2.8062)	Prec@1 29.688 (33.420)	Prec@5 65.625 (63.625)
Epoch: [8][8950/14090]	Time 0.784 (0.763)	Data 0.001 (0.001)	Loss 2.5635 (2.8063)	Prec@1 35.156 (33.421)	Prec@5 66.406 (63.626)
Epoch: [8][8960/14090]	Time 0.765 (0.763)	Data 0.001 (0.001)	Loss 2.8168 (2.8064)	Prec@1 34.375 (33.420)	Prec@5 60.938 (63.624)
Epoch: [8][8970/14090]	Time 0.774 (0.763)	Data 0.001 (0.001)	Loss 2.9088 (2.8064)	Prec@1 30.469 (33.420)	Prec@5 60.156 (63.623)
Epoch: [8][8980/14090]	Time 0.840 (0.763)	Data 0.001 (0.001)	Loss 2.5384 (2.8063)	Prec@1 37.500 (33.419)	Prec@5 67.188 (63.624)
Epoch: [8][8990/14090]	Time 0.739 (0.763)	Data 0.001 (0.001)	Loss 2.6330 (2.8063)	Prec@1 32.812 (33.420)	Prec@5 66.406 (63.624)
Epoch: [8][9000/14090]	Time 0.726 (0.763)	Data 0.001 (0.001)	Loss 2.8629 (2.8063)	Prec@1 35.938 (33.418)	Prec@5 69.531 (63.625)
Epoch: [8][9010/14090]	Time 0.726 (0.763)	Data 0.001 (0.001)	Loss 2.5365 (2.8063)	Prec@1 38.281 (33.419)	Prec@5 70.312 (63.626)
Epoch: [8][9020/14090]	Time 0.734 (0.763)	Data 0.001 (0.001)	Loss 2.6703 (2.8063)	Prec@1 32.031 (33.420)	Prec@5 62.500 (63.627)
Epoch: [8][9030/14090]	Time 0.770 (0.763)	Data 0.003 (0.001)	Loss 2.6502 (2.8063)	Prec@1 38.281 (33.419)	Prec@5 64.844 (63.627)
Epoch: [8][9040/14090]	Time 0.735 (0.763)	Data 0.001 (0.001)	Loss 2.8050 (2.8063)	Prec@1 32.031 (33.417)	Prec@5 63.281 (63.627)
Epoch: [8][9050/14090]	Time 0.839 (0.763)	Data 0.001 (0.001)	Loss 3.0780 (2.8064)	Prec@1 26.562 (33.416)	Prec@5 53.906 (63.626)
Epoch: [8][9060/14090]	Time 0.736 (0.763)	Data 0.001 (0.001)	Loss 2.6913 (2.8064)	Prec@1 35.156 (33.416)	Prec@5 64.844 (63.626)
Epoch: [8][9070/14090]	Time 0.756 (0.763)	Data 0.001 (0.001)	Loss 2.4452 (2.8063)	Prec@1 37.500 (33.417)	Prec@5 75.781 (63.629)
Epoch: [8][9080/14090]	Time 0.781 (0.763)	Data 0.001 (0.001)	Loss 2.8623 (2.8063)	Prec@1 30.469 (33.416)	Prec@5 60.938 (63.628)
Epoch: [8][9090/14090]	Time 0.734 (0.763)	Data 0.001 (0.001)	Loss 3.1219 (2.8064)	Prec@1 27.344 (33.412)	Prec@5 60.938 (63.625)
Epoch: [8][9100/14090]	Time 0.723 (0.763)	Data 0.001 (0.001)	Loss 2.7504 (2.8064)	Prec@1 35.156 (33.414)	Prec@5 64.844 (63.625)
Epoch: [8][9110/14090]	Time 0.752 (0.763)	Data 0.001 (0.001)	Loss 2.5650 (2.8063)	Prec@1 37.500 (33.415)	Prec@5 67.969 (63.628)
Epoch: [8][9120/14090]	Time 0.827 (0.763)	Data 0.001 (0.001)	Loss 2.8717 (2.8063)	Prec@1 31.250 (33.415)	Prec@5 64.844 (63.629)
Epoch: [8][9130/14090]	Time 0.742 (0.763)	Data 0.001 (0.001)	Loss 2.6050 (2.8063)	Prec@1 44.531 (33.415)	Prec@5 71.094 (63.629)
Epoch: [8][9140/14090]	Time 0.753 (0.763)	Data 0.001 (0.001)	Loss 2.4554 (2.8062)	Prec@1 43.750 (33.417)	Prec@5 72.656 (63.631)
Epoch: [8][9150/14090]	Time 0.777 (0.763)	Data 0.002 (0.001)	Loss 2.6366 (2.8062)	Prec@1 37.500 (33.418)	Prec@5 69.531 (63.632)
Epoch: [8][9160/14090]	Time 0.739 (0.763)	Data 0.001 (0.001)	Loss 2.9146 (2.8062)	Prec@1 28.906 (33.418)	Prec@5 62.500 (63.631)
Epoch: [8][9170/14090]	Time 0.738 (0.763)	Data 0.001 (0.001)	Loss 2.7934 (2.8063)	Prec@1 34.375 (33.416)	Prec@5 67.188 (63.629)
Epoch: [8][9180/14090]	Time 0.743 (0.763)	Data 0.001 (0.001)	Loss 2.7737 (2.8064)	Prec@1 37.500 (33.415)	Prec@5 64.844 (63.629)
Epoch: [8][9190/14090]	Time 0.908 (0.763)	Data 0.001 (0.001)	Loss 2.8162 (2.8064)	Prec@1 33.594 (33.414)	Prec@5 63.281 (63.630)
Epoch: [8][9200/14090]	Time 0.751 (0.763)	Data 0.001 (0.001)	Loss 2.8709 (2.8065)	Prec@1 32.812 (33.412)	Prec@5 61.719 (63.628)
Epoch: [8][9210/14090]	Time 0.738 (0.763)	Data 0.001 (0.001)	Loss 2.9815 (2.8064)	Prec@1 28.906 (33.413)	Prec@5 60.938 (63.629)
Epoch: [8][9220/14090]	Time 0.754 (0.763)	Data 0.001 (0.001)	Loss 2.8068 (2.8064)	Prec@1 32.812 (33.415)	Prec@5 62.500 (63.631)
Epoch: [8][9230/14090]	Time 0.733 (0.763)	Data 0.001 (0.001)	Loss 2.7130 (2.8063)	Prec@1 33.594 (33.417)	Prec@5 64.062 (63.632)
Epoch: [8][9240/14090]	Time 0.760 (0.763)	Data 0.001 (0.001)	Loss 2.6038 (2.8063)	Prec@1 43.750 (33.420)	Prec@5 67.188 (63.633)
Epoch: [8][9250/14090]	Time 0.733 (0.763)	Data 0.001 (0.001)	Loss 2.8106 (2.8062)	Prec@1 36.719 (33.423)	Prec@5 62.500 (63.636)
Epoch: [8][9260/14090]	Time 0.890 (0.763)	Data 0.001 (0.001)	Loss 2.9639 (2.8062)	Prec@1 31.250 (33.423)	Prec@5 60.156 (63.636)
Epoch: [8][9270/14090]	Time 0.762 (0.763)	Data 0.001 (0.001)	Loss 2.8225 (2.8062)	Prec@1 26.562 (33.423)	Prec@5 62.500 (63.638)
Epoch: [8][9280/14090]	Time 0.725 (0.763)	Data 0.001 (0.001)	Loss 2.8491 (2.8063)	Prec@1 35.156 (33.422)	Prec@5 64.844 (63.638)
Epoch: [8][9290/14090]	Time 0.733 (0.763)	Data 0.001 (0.001)	Loss 2.7442 (2.8063)	Prec@1 31.250 (33.421)	Prec@5 65.625 (63.639)
Epoch: [8][9300/14090]	Time 0.739 (0.763)	Data 0.001 (0.001)	Loss 2.7269 (2.8063)	Prec@1 37.500 (33.422)	Prec@5 67.969 (63.638)
Epoch: [8][9310/14090]	Time 0.748 (0.763)	Data 0.001 (0.001)	Loss 2.7654 (2.8064)	Prec@1 30.469 (33.421)	Prec@5 69.531 (63.636)
Epoch: [8][9320/14090]	Time 0.774 (0.763)	Data 0.001 (0.001)	Loss 3.0158 (2.8063)	Prec@1 32.812 (33.422)	Prec@5 57.812 (63.636)
Epoch: [8][9330/14090]	Time 0.827 (0.763)	Data 0.001 (0.001)	Loss 2.9632 (2.8063)	Prec@1 37.500 (33.422)	Prec@5 53.906 (63.637)
Epoch: [8][9340/14090]	Time 0.745 (0.763)	Data 0.001 (0.001)	Loss 3.0348 (2.8063)	Prec@1 28.125 (33.423)	Prec@5 55.469 (63.636)
Epoch: [8][9350/14090]	Time 0.749 (0.763)	Data 0.001 (0.001)	Loss 2.6890 (2.8062)	Prec@1 32.812 (33.425)	Prec@5 66.406 (63.639)
Epoch: [8][9360/14090]	Time 0.734 (0.763)	Data 0.001 (0.001)	Loss 3.2307 (2.8062)	Prec@1 25.000 (33.426)	Prec@5 50.000 (63.639)
Epoch: [8][9370/14090]	Time 0.735 (0.763)	Data 0.001 (0.001)	Loss 2.8906 (2.8061)	Prec@1 31.250 (33.425)	Prec@5 57.812 (63.641)
Epoch: [8][9380/14090]	Time 0.755 (0.763)	Data 0.001 (0.001)	Loss 2.8758 (2.8061)	Prec@1 32.812 (33.427)	Prec@5 56.250 (63.640)
Epoch: [8][9390/14090]	Time 0.784 (0.763)	Data 0.001 (0.001)	Loss 2.7401 (2.8061)	Prec@1 35.938 (33.427)	Prec@5 66.406 (63.640)
Epoch: [8][9400/14090]	Time 0.871 (0.763)	Data 0.001 (0.001)	Loss 3.1892 (2.8062)	Prec@1 29.688 (33.426)	Prec@5 54.688 (63.637)
Epoch: [8][9410/14090]	Time 0.751 (0.763)	Data 0.001 (0.001)	Loss 2.7874 (2.8061)	Prec@1 41.406 (33.427)	Prec@5 64.844 (63.638)
Epoch: [8][9420/14090]	Time 0.731 (0.763)	Data 0.001 (0.001)	Loss 2.8345 (2.8062)	Prec@1 34.375 (33.426)	Prec@5 63.281 (63.637)
Epoch: [8][9430/14090]	Time 0.738 (0.763)	Data 0.001 (0.001)	Loss 2.7116 (2.8062)	Prec@1 33.594 (33.427)	Prec@5 61.719 (63.637)
Epoch: [8][9440/14090]	Time 0.740 (0.763)	Data 0.001 (0.001)	Loss 2.6628 (2.8063)	Prec@1 35.938 (33.425)	Prec@5 65.625 (63.635)
Epoch: [8][9450/14090]	Time 0.757 (0.763)	Data 0.001 (0.001)	Loss 2.8267 (2.8063)	Prec@1 31.250 (33.428)	Prec@5 60.938 (63.634)
Epoch: [8][9460/14090]	Time 0.752 (0.763)	Data 0.001 (0.001)	Loss 2.9223 (2.8063)	Prec@1 32.812 (33.427)	Prec@5 64.844 (63.634)
Epoch: [8][9470/14090]	Time 0.855 (0.763)	Data 0.001 (0.001)	Loss 2.7539 (2.8062)	Prec@1 32.812 (33.428)	Prec@5 64.062 (63.636)
Epoch: [8][9480/14090]	Time 0.744 (0.763)	Data 0.001 (0.001)	Loss 2.8866 (2.8062)	Prec@1 32.812 (33.430)	Prec@5 61.719 (63.635)
Epoch: [8][9490/14090]	Time 0.752 (0.763)	Data 0.001 (0.001)	Loss 2.7553 (2.8061)	Prec@1 36.719 (33.431)	Prec@5 60.938 (63.635)
Epoch: [8][9500/14090]	Time 0.743 (0.763)	Data 0.001 (0.001)	Loss 2.8357 (2.8060)	Prec@1 36.719 (33.431)	Prec@5 63.281 (63.636)
Epoch: [8][9510/14090]	Time 0.770 (0.763)	Data 0.001 (0.001)	Loss 2.5694 (2.8060)	Prec@1 44.531 (33.433)	Prec@5 69.531 (63.636)
Epoch: [8][9520/14090]	Time 0.750 (0.763)	Data 0.001 (0.001)	Loss 2.9951 (2.8061)	Prec@1 31.250 (33.433)	Prec@5 62.500 (63.636)
Epoch: [8][9530/14090]	Time 0.752 (0.763)	Data 0.001 (0.001)	Loss 2.9514 (2.8061)	Prec@1 33.594 (33.433)	Prec@5 58.594 (63.635)
Epoch: [8][9540/14090]	Time 0.849 (0.763)	Data 0.001 (0.001)	Loss 2.8394 (2.8061)	Prec@1 28.125 (33.432)	Prec@5 58.594 (63.633)
Epoch: [8][9550/14090]	Time 0.747 (0.763)	Data 0.001 (0.001)	Loss 2.9047 (2.8061)	Prec@1 30.469 (33.433)	Prec@5 64.844 (63.633)
Epoch: [8][9560/14090]	Time 0.719 (0.763)	Data 0.001 (0.001)	Loss 2.9113 (2.8061)	Prec@1 31.250 (33.434)	Prec@5 62.500 (63.634)
Epoch: [8][9570/14090]	Time 0.737 (0.763)	Data 0.001 (0.001)	Loss 2.8540 (2.8061)	Prec@1 34.375 (33.434)	Prec@5 62.500 (63.632)
Epoch: [8][9580/14090]	Time 0.754 (0.763)	Data 0.001 (0.001)	Loss 2.8116 (2.8061)	Prec@1 33.594 (33.432)	Prec@5 63.281 (63.631)
Epoch: [8][9590/14090]	Time 0.751 (0.763)	Data 0.001 (0.001)	Loss 2.5771 (2.8061)	Prec@1 37.500 (33.433)	Prec@5 71.875 (63.633)
Epoch: [8][9600/14090]	Time 0.740 (0.763)	Data 0.001 (0.001)	Loss 2.4555 (2.8060)	Prec@1 39.062 (33.432)	Prec@5 68.750 (63.632)
Epoch: [8][9610/14090]	Time 0.877 (0.763)	Data 0.001 (0.001)	Loss 3.0239 (2.8060)	Prec@1 29.688 (33.433)	Prec@5 51.562 (63.632)
Epoch: [8][9620/14090]	Time 0.738 (0.763)	Data 0.001 (0.001)	Loss 2.9111 (2.8060)	Prec@1 30.469 (33.433)	Prec@5 59.375 (63.631)
Epoch: [8][9630/14090]	Time 0.769 (0.763)	Data 0.001 (0.001)	Loss 3.0356 (2.8061)	Prec@1 32.031 (33.431)	Prec@5 60.156 (63.630)
Epoch: [8][9640/14090]	Time 0.760 (0.763)	Data 0.001 (0.001)	Loss 2.5639 (2.8061)	Prec@1 32.031 (33.431)	Prec@5 72.656 (63.630)
Epoch: [8][9650/14090]	Time 0.770 (0.763)	Data 0.001 (0.001)	Loss 2.5405 (2.8060)	Prec@1 35.156 (33.432)	Prec@5 66.406 (63.631)
Epoch: [8][9660/14090]	Time 0.767 (0.763)	Data 0.001 (0.001)	Loss 2.5259 (2.8059)	Prec@1 39.844 (33.435)	Prec@5 67.969 (63.634)
Epoch: [8][9670/14090]	Time 0.744 (0.763)	Data 0.001 (0.001)	Loss 2.8518 (2.8058)	Prec@1 31.250 (33.435)	Prec@5 64.062 (63.635)
Epoch: [8][9680/14090]	Time 0.873 (0.763)	Data 0.001 (0.001)	Loss 2.5691 (2.8058)	Prec@1 36.719 (33.435)	Prec@5 71.094 (63.636)
Epoch: [8][9690/14090]	Time 0.748 (0.763)	Data 0.001 (0.001)	Loss 2.7483 (2.8058)	Prec@1 31.250 (33.433)	Prec@5 67.969 (63.636)
Epoch: [8][9700/14090]	Time 0.742 (0.763)	Data 0.001 (0.001)	Loss 2.8219 (2.8059)	Prec@1 30.469 (33.430)	Prec@5 68.750 (63.636)
Epoch: [8][9710/14090]	Time 0.734 (0.763)	Data 0.001 (0.001)	Loss 2.7694 (2.8059)	Prec@1 35.156 (33.430)	Prec@5 62.500 (63.635)
Epoch: [8][9720/14090]	Time 0.746 (0.763)	Data 0.001 (0.001)	Loss 2.7892 (2.8059)	Prec@1 35.156 (33.429)	Prec@5 64.062 (63.635)
Epoch: [8][9730/14090]	Time 0.761 (0.763)	Data 0.001 (0.001)	Loss 3.1043 (2.8059)	Prec@1 33.594 (33.429)	Prec@5 59.375 (63.634)
Epoch: [8][9740/14090]	Time 0.753 (0.763)	Data 0.001 (0.001)	Loss 2.4788 (2.8059)	Prec@1 35.938 (33.431)	Prec@5 69.531 (63.636)
Epoch: [8][9750/14090]	Time 0.888 (0.763)	Data 0.001 (0.001)	Loss 3.0354 (2.8060)	Prec@1 26.562 (33.428)	Prec@5 62.500 (63.635)
Epoch: [8][9760/14090]	Time 0.736 (0.763)	Data 0.001 (0.001)	Loss 2.5153 (2.8060)	Prec@1 36.719 (33.428)	Prec@5 70.312 (63.635)
Epoch: [8][9770/14090]	Time 0.736 (0.763)	Data 0.001 (0.001)	Loss 2.5909 (2.8059)	Prec@1 33.594 (33.429)	Prec@5 70.312 (63.637)
Epoch: [8][9780/14090]	Time 0.752 (0.763)	Data 0.001 (0.001)	Loss 2.7313 (2.8059)	Prec@1 36.719 (33.430)	Prec@5 70.312 (63.638)
Epoch: [8][9790/14090]	Time 0.734 (0.763)	Data 0.001 (0.001)	Loss 3.0967 (2.8058)	Prec@1 35.156 (33.432)	Prec@5 60.938 (63.640)
Epoch: [8][9800/14090]	Time 0.765 (0.763)	Data 0.001 (0.001)	Loss 2.8001 (2.8058)	Prec@1 37.500 (33.434)	Prec@5 63.281 (63.640)
Epoch: [8][9810/14090]	Time 0.756 (0.763)	Data 0.001 (0.001)	Loss 2.5713 (2.8058)	Prec@1 35.156 (33.435)	Prec@5 67.969 (63.641)
Epoch: [8][9820/14090]	Time 0.857 (0.763)	Data 0.001 (0.001)	Loss 2.6188 (2.8057)	Prec@1 34.375 (33.437)	Prec@5 68.750 (63.643)
Epoch: [8][9830/14090]	Time 0.750 (0.763)	Data 0.001 (0.001)	Loss 2.8767 (2.8057)	Prec@1 31.250 (33.437)	Prec@5 62.500 (63.644)
Epoch: [8][9840/14090]	Time 0.737 (0.763)	Data 0.001 (0.001)	Loss 2.7549 (2.8058)	Prec@1 29.688 (33.434)	Prec@5 65.625 (63.640)
Epoch: [8][9850/14090]	Time 0.750 (0.763)	Data 0.001 (0.001)	Loss 2.8877 (2.8059)	Prec@1 30.469 (33.433)	Prec@5 61.719 (63.638)
Epoch: [8][9860/14090]	Time 0.776 (0.763)	Data 0.001 (0.001)	Loss 3.0016 (2.8059)	Prec@1 29.688 (33.431)	Prec@5 60.938 (63.638)
Epoch: [8][9870/14090]	Time 0.765 (0.763)	Data 0.001 (0.001)	Loss 3.0165 (2.8059)	Prec@1 28.125 (33.431)	Prec@5 63.281 (63.638)
Epoch: [8][9880/14090]	Time 0.756 (0.763)	Data 0.001 (0.001)	Loss 2.6734 (2.8059)	Prec@1 35.938 (33.431)	Prec@5 63.281 (63.637)
Epoch: [8][9890/14090]	Time 0.863 (0.763)	Data 0.001 (0.001)	Loss 2.8238 (2.8060)	Prec@1 32.031 (33.430)	Prec@5 70.312 (63.638)
Epoch: [8][9900/14090]	Time 0.737 (0.763)	Data 0.001 (0.001)	Loss 2.7162 (2.8059)	Prec@1 38.281 (33.433)	Prec@5 64.062 (63.640)
Epoch: [8][9910/14090]	Time 0.730 (0.763)	Data 0.001 (0.001)	Loss 2.8246 (2.8059)	Prec@1 33.594 (33.433)	Prec@5 62.500 (63.639)
Epoch: [8][9920/14090]	Time 0.756 (0.763)	Data 0.001 (0.001)	Loss 2.8788 (2.8059)	Prec@1 35.156 (33.435)	Prec@5 61.719 (63.641)
Epoch: [8][9930/14090]	Time 0.728 (0.763)	Data 0.001 (0.001)	Loss 2.5394 (2.8059)	Prec@1 42.188 (33.436)	Prec@5 68.750 (63.640)
Epoch: [8][9940/14090]	Time 0.742 (0.763)	Data 0.001 (0.001)	Loss 2.8880 (2.8059)	Prec@1 30.469 (33.436)	Prec@5 64.844 (63.643)
Epoch: [8][9950/14090]	Time 0.753 (0.763)	Data 0.001 (0.001)	Loss 2.9600 (2.8058)	Prec@1 33.594 (33.436)	Prec@5 54.688 (63.642)
Epoch: [8][9960/14090]	Time 0.837 (0.763)	Data 0.001 (0.001)	Loss 3.1482 (2.8058)	Prec@1 28.125 (33.435)	Prec@5 56.250 (63.643)
Epoch: [8][9970/14090]	Time 0.745 (0.763)	Data 0.001 (0.001)	Loss 2.9052 (2.8058)	Prec@1 37.500 (33.436)	Prec@5 61.719 (63.643)
Epoch: [8][9980/14090]	Time 0.746 (0.763)	Data 0.001 (0.001)	Loss 2.8945 (2.8058)	Prec@1 35.156 (33.436)	Prec@5 64.844 (63.645)
Epoch: [8][9990/14090]	Time 0.756 (0.763)	Data 0.001 (0.001)	Loss 2.9422 (2.8058)	Prec@1 32.031 (33.436)	Prec@5 63.281 (63.648)
Epoch: [8][10000/14090]	Time 0.758 (0.763)	Data 0.001 (0.001)	Loss 2.8243 (2.8057)	Prec@1 36.719 (33.439)	Prec@5 62.500 (63.648)
Epoch: [8][10010/14090]	Time 0.741 (0.763)	Data 0.001 (0.001)	Loss 3.0246 (2.8058)	Prec@1 33.594 (33.439)	Prec@5 57.031 (63.646)
Epoch: [8][10020/14090]	Time 0.735 (0.763)	Data 0.001 (0.001)	Loss 2.9548 (2.8059)	Prec@1 28.906 (33.438)	Prec@5 57.812 (63.641)
Epoch: [8][10030/14090]	Time 0.870 (0.763)	Data 0.001 (0.001)	Loss 2.8014 (2.8059)	Prec@1 37.500 (33.437)	Prec@5 60.156 (63.642)
Epoch: [8][10040/14090]	Time 0.728 (0.763)	Data 0.001 (0.001)	Loss 2.6999 (2.8059)	Prec@1 31.250 (33.437)	Prec@5 68.750 (63.643)
Epoch: [8][10050/14090]	Time 0.721 (0.763)	Data 0.001 (0.001)	Loss 2.6691 (2.8058)	Prec@1 37.500 (33.438)	Prec@5 67.969 (63.645)
Epoch: [8][10060/14090]	Time 0.775 (0.763)	Data 0.001 (0.001)	Loss 2.7004 (2.8057)	Prec@1 32.031 (33.441)	Prec@5 65.625 (63.647)
Epoch: [8][10070/14090]	Time 0.738 (0.763)	Data 0.001 (0.001)	Loss 2.8456 (2.8057)	Prec@1 32.812 (33.442)	Prec@5 60.156 (63.646)
Epoch: [8][10080/14090]	Time 0.747 (0.763)	Data 0.001 (0.001)	Loss 2.8086 (2.8057)	Prec@1 35.156 (33.443)	Prec@5 65.625 (63.646)
Epoch: [8][10090/14090]	Time 0.737 (0.763)	Data 0.001 (0.001)	Loss 2.8529 (2.8057)	Prec@1 35.156 (33.442)	Prec@5 63.281 (63.644)
Epoch: [8][10100/14090]	Time 0.849 (0.763)	Data 0.001 (0.001)	Loss 2.9950 (2.8057)	Prec@1 28.906 (33.442)	Prec@5 62.500 (63.644)
Epoch: [8][10110/14090]	Time 0.735 (0.763)	Data 0.001 (0.001)	Loss 2.9504 (2.8058)	Prec@1 31.250 (33.441)	Prec@5 57.812 (63.643)
Epoch: [8][10120/14090]	Time 0.727 (0.763)	Data 0.001 (0.001)	Loss 2.9903 (2.8058)	Prec@1 25.000 (33.440)	Prec@5 60.938 (63.644)
Epoch: [8][10130/14090]	Time 0.733 (0.763)	Data 0.001 (0.001)	Loss 2.8004 (2.8058)	Prec@1 35.156 (33.441)	Prec@5 63.281 (63.643)
Epoch: [8][10140/14090]	Time 0.761 (0.763)	Data 0.001 (0.001)	Loss 2.8332 (2.8057)	Prec@1 32.812 (33.442)	Prec@5 67.188 (63.644)
Epoch: [8][10150/14090]	Time 0.740 (0.763)	Data 0.001 (0.001)	Loss 2.6964 (2.8056)	Prec@1 31.250 (33.442)	Prec@5 66.406 (63.646)
Epoch: [8][10160/14090]	Time 0.742 (0.763)	Data 0.001 (0.001)	Loss 2.9415 (2.8056)	Prec@1 30.469 (33.444)	Prec@5 60.938 (63.647)
Epoch: [8][10170/14090]	Time 0.856 (0.763)	Data 0.001 (0.001)	Loss 2.9279 (2.8055)	Prec@1 35.938 (33.445)	Prec@5 64.844 (63.649)
Epoch: [8][10180/14090]	Time 0.754 (0.763)	Data 0.001 (0.001)	Loss 2.8101 (2.8056)	Prec@1 31.250 (33.445)	Prec@5 60.938 (63.648)
Epoch: [8][10190/14090]	Time 0.726 (0.763)	Data 0.001 (0.001)	Loss 2.8499 (2.8056)	Prec@1 37.500 (33.445)	Prec@5 62.500 (63.649)
Epoch: [8][10200/14090]	Time 0.762 (0.763)	Data 0.001 (0.001)	Loss 3.0621 (2.8056)	Prec@1 27.344 (33.443)	Prec@5 62.500 (63.650)
Epoch: [8][10210/14090]	Time 0.779 (0.763)	Data 0.001 (0.001)	Loss 2.7144 (2.8056)	Prec@1 31.250 (33.443)	Prec@5 66.406 (63.648)
Epoch: [8][10220/14090]	Time 0.735 (0.763)	Data 0.001 (0.001)	Loss 2.7345 (2.8055)	Prec@1 38.281 (33.444)	Prec@5 67.188 (63.648)
Epoch: [8][10230/14090]	Time 0.750 (0.763)	Data 0.001 (0.001)	Loss 3.1309 (2.8057)	Prec@1 26.562 (33.443)	Prec@5 55.469 (63.646)
Epoch: [8][10240/14090]	Time 0.847 (0.763)	Data 0.001 (0.001)	Loss 3.0439 (2.8057)	Prec@1 32.031 (33.443)	Prec@5 60.156 (63.647)
Epoch: [8][10250/14090]	Time 0.750 (0.763)	Data 0.001 (0.001)	Loss 2.9337 (2.8056)	Prec@1 27.344 (33.444)	Prec@5 58.594 (63.647)
Epoch: [8][10260/14090]	Time 0.769 (0.763)	Data 0.001 (0.001)	Loss 2.4232 (2.8057)	Prec@1 41.406 (33.445)	Prec@5 67.969 (63.645)
Epoch: [8][10270/14090]	Time 0.734 (0.763)	Data 0.001 (0.001)	Loss 2.6931 (2.8057)	Prec@1 34.375 (33.444)	Prec@5 63.281 (63.644)
Epoch: [8][10280/14090]	Time 0.773 (0.763)	Data 0.001 (0.001)	Loss 2.8069 (2.8057)	Prec@1 32.812 (33.444)	Prec@5 65.625 (63.644)
Epoch: [8][10290/14090]	Time 0.733 (0.763)	Data 0.001 (0.001)	Loss 2.9529 (2.8057)	Prec@1 28.906 (33.444)	Prec@5 60.938 (63.644)
Epoch: [8][10300/14090]	Time 0.761 (0.763)	Data 0.001 (0.001)	Loss 2.6599 (2.8056)	Prec@1 37.500 (33.445)	Prec@5 68.750 (63.646)
Epoch: [8][10310/14090]	Time 0.860 (0.763)	Data 0.001 (0.001)	Loss 2.6359 (2.8056)	Prec@1 41.406 (33.446)	Prec@5 60.938 (63.643)
Epoch: [8][10320/14090]	Time 0.728 (0.763)	Data 0.001 (0.001)	Loss 2.8299 (2.8056)	Prec@1 30.469 (33.447)	Prec@5 65.625 (63.645)
Epoch: [8][10330/14090]	Time 0.744 (0.763)	Data 0.001 (0.001)	Loss 2.8436 (2.8057)	Prec@1 30.469 (33.446)	Prec@5 63.281 (63.644)
Epoch: [8][10340/14090]	Time 0.746 (0.763)	Data 0.001 (0.001)	Loss 2.7724 (2.8057)	Prec@1 35.938 (33.444)	Prec@5 59.375 (63.642)
Epoch: [8][10350/14090]	Time 0.771 (0.763)	Data 0.001 (0.001)	Loss 2.7765 (2.8057)	Prec@1 42.969 (33.445)	Prec@5 68.750 (63.643)
Epoch: [8][10360/14090]	Time 0.758 (0.763)	Data 0.001 (0.001)	Loss 3.1377 (2.8058)	Prec@1 25.781 (33.444)	Prec@5 57.812 (63.642)
Epoch: [8][10370/14090]	Time 0.751 (0.763)	Data 0.001 (0.001)	Loss 2.7057 (2.8057)	Prec@1 37.500 (33.444)	Prec@5 66.406 (63.643)
Epoch: [8][10380/14090]	Time 0.849 (0.763)	Data 0.001 (0.001)	Loss 2.7605 (2.8058)	Prec@1 36.719 (33.444)	Prec@5 65.625 (63.642)
Epoch: [8][10390/14090]	Time 0.756 (0.763)	Data 0.001 (0.001)	Loss 2.9455 (2.8058)	Prec@1 35.938 (33.443)	Prec@5 61.719 (63.642)
Epoch: [8][10400/14090]	Time 0.766 (0.763)	Data 0.001 (0.001)	Loss 2.8404 (2.8059)	Prec@1 25.000 (33.440)	Prec@5 60.938 (63.640)
Epoch: [8][10410/14090]	Time 0.757 (0.763)	Data 0.001 (0.001)	Loss 2.7722 (2.8059)	Prec@1 38.281 (33.441)	Prec@5 64.844 (63.639)
Epoch: [8][10420/14090]	Time 0.725 (0.763)	Data 0.001 (0.001)	Loss 3.0018 (2.8060)	Prec@1 28.125 (33.440)	Prec@5 59.375 (63.637)
Epoch: [8][10430/14090]	Time 0.720 (0.763)	Data 0.001 (0.001)	Loss 2.4334 (2.8059)	Prec@1 40.625 (33.441)	Prec@5 71.875 (63.640)
Epoch: [8][10440/14090]	Time 0.758 (0.763)	Data 0.001 (0.001)	Loss 2.9294 (2.8060)	Prec@1 30.469 (33.441)	Prec@5 63.281 (63.639)
Epoch: [8][10450/14090]	Time 0.844 (0.763)	Data 0.001 (0.001)	Loss 2.7951 (2.8060)	Prec@1 31.250 (33.440)	Prec@5 64.844 (63.639)
Epoch: [8][10460/14090]	Time 0.744 (0.763)	Data 0.001 (0.001)	Loss 2.9311 (2.8060)	Prec@1 28.906 (33.439)	Prec@5 57.812 (63.638)
Epoch: [8][10470/14090]	Time 0.724 (0.763)	Data 0.001 (0.001)	Loss 2.9824 (2.8060)	Prec@1 28.125 (33.438)	Prec@5 57.812 (63.639)
Epoch: [8][10480/14090]	Time 0.777 (0.763)	Data 0.001 (0.001)	Loss 3.0842 (2.8060)	Prec@1 27.344 (33.438)	Prec@5 61.719 (63.639)
Epoch: [8][10490/14090]	Time 0.733 (0.763)	Data 0.001 (0.001)	Loss 2.7589 (2.8061)	Prec@1 35.156 (33.437)	Prec@5 64.062 (63.638)
Epoch: [8][10500/14090]	Time 0.743 (0.763)	Data 0.001 (0.001)	Loss 2.7013 (2.8060)	Prec@1 33.594 (33.439)	Prec@5 65.625 (63.641)
Epoch: [8][10510/14090]	Time 0.736 (0.763)	Data 0.001 (0.001)	Loss 2.7923 (2.8060)	Prec@1 37.500 (33.441)	Prec@5 64.062 (63.642)
Epoch: [8][10520/14090]	Time 0.871 (0.763)	Data 0.001 (0.001)	Loss 2.7991 (2.8060)	Prec@1 33.594 (33.441)	Prec@5 68.750 (63.643)
Epoch: [8][10530/14090]	Time 0.754 (0.763)	Data 0.001 (0.001)	Loss 2.9170 (2.8060)	Prec@1 34.375 (33.442)	Prec@5 64.062 (63.642)
Epoch: [8][10540/14090]	Time 0.725 (0.763)	Data 0.001 (0.001)	Loss 2.7103 (2.8061)	Prec@1 39.062 (33.442)	Prec@5 68.750 (63.642)
Epoch: [8][10550/14090]	Time 0.758 (0.763)	Data 0.001 (0.001)	Loss 2.8553 (2.8061)	Prec@1 32.812 (33.441)	Prec@5 67.969 (63.642)
Epoch: [8][10560/14090]	Time 0.749 (0.763)	Data 0.001 (0.001)	Loss 3.0063 (2.8061)	Prec@1 28.125 (33.439)	Prec@5 62.500 (63.643)
Epoch: [8][10570/14090]	Time 0.749 (0.763)	Data 0.001 (0.001)	Loss 2.7215 (2.8061)	Prec@1 35.156 (33.440)	Prec@5 66.406 (63.642)
Epoch: [8][10580/14090]	Time 0.761 (0.763)	Data 0.001 (0.001)	Loss 2.5893 (2.8060)	Prec@1 35.938 (33.440)	Prec@5 65.625 (63.644)
Epoch: [8][10590/14090]	Time 0.854 (0.763)	Data 0.001 (0.001)	Loss 2.7217 (2.8061)	Prec@1 36.719 (33.440)	Prec@5 65.625 (63.641)
Epoch: [8][10600/14090]	Time 0.724 (0.763)	Data 0.001 (0.001)	Loss 2.7307 (2.8061)	Prec@1 33.594 (33.438)	Prec@5 66.406 (63.641)
Epoch: [8][10610/14090]	Time 0.739 (0.763)	Data 0.001 (0.001)	Loss 2.7487 (2.8060)	Prec@1 41.406 (33.440)	Prec@5 68.750 (63.641)
Epoch: [8][10620/14090]	Time 0.753 (0.763)	Data 0.001 (0.001)	Loss 2.8999 (2.8060)	Prec@1 30.469 (33.440)	Prec@5 64.844 (63.641)
Epoch: [8][10630/14090]	Time 0.757 (0.763)	Data 0.001 (0.001)	Loss 2.8152 (2.8060)	Prec@1 29.688 (33.439)	Prec@5 68.750 (63.641)
Epoch: [8][10640/14090]	Time 0.750 (0.763)	Data 0.001 (0.001)	Loss 2.7321 (2.8060)	Prec@1 35.938 (33.440)	Prec@5 60.156 (63.640)
Epoch: [8][10650/14090]	Time 0.754 (0.763)	Data 0.001 (0.001)	Loss 2.4841 (2.8060)	Prec@1 43.750 (33.440)	Prec@5 71.875 (63.639)
Epoch: [8][10660/14090]	Time 0.859 (0.763)	Data 0.001 (0.001)	Loss 2.5927 (2.8060)	Prec@1 42.188 (33.442)	Prec@5 68.750 (63.639)
Epoch: [8][10670/14090]	Time 0.744 (0.763)	Data 0.001 (0.001)	Loss 2.7603 (2.8059)	Prec@1 32.031 (33.444)	Prec@5 65.625 (63.641)
Epoch: [8][10680/14090]	Time 0.738 (0.763)	Data 0.001 (0.001)	Loss 2.8713 (2.8060)	Prec@1 28.125 (33.442)	Prec@5 59.375 (63.640)
Epoch: [8][10690/14090]	Time 0.768 (0.763)	Data 0.001 (0.001)	Loss 2.7608 (2.8060)	Prec@1 37.500 (33.442)	Prec@5 64.844 (63.640)
Epoch: [8][10700/14090]	Time 0.750 (0.763)	Data 0.001 (0.001)	Loss 2.7302 (2.8059)	Prec@1 31.250 (33.443)	Prec@5 67.188 (63.642)
Epoch: [8][10710/14090]	Time 0.730 (0.763)	Data 0.001 (0.001)	Loss 2.5631 (2.8059)	Prec@1 32.031 (33.442)	Prec@5 70.312 (63.643)
Epoch: [8][10720/14090]	Time 0.758 (0.763)	Data 0.001 (0.001)	Loss 2.4874 (2.8059)	Prec@1 39.062 (33.442)	Prec@5 72.656 (63.643)
Epoch: [8][10730/14090]	Time 0.899 (0.763)	Data 0.001 (0.001)	Loss 2.7617 (2.8059)	Prec@1 32.812 (33.443)	Prec@5 59.375 (63.644)
Epoch: [8][10740/14090]	Time 0.735 (0.763)	Data 0.001 (0.001)	Loss 2.9226 (2.8059)	Prec@1 32.031 (33.443)	Prec@5 59.375 (63.643)
Epoch: [8][10750/14090]	Time 0.737 (0.763)	Data 0.001 (0.001)	Loss 2.9350 (2.8059)	Prec@1 29.688 (33.442)	Prec@5 59.375 (63.644)
Epoch: [8][10760/14090]	Time 0.751 (0.763)	Data 0.001 (0.001)	Loss 2.7639 (2.8059)	Prec@1 31.250 (33.441)	Prec@5 64.844 (63.644)
Epoch: [8][10770/14090]	Time 0.738 (0.763)	Data 0.001 (0.001)	Loss 2.8637 (2.8058)	Prec@1 35.156 (33.444)	Prec@5 68.750 (63.644)
Epoch: [8][10780/14090]	Time 0.733 (0.763)	Data 0.001 (0.001)	Loss 2.9343 (2.8058)	Prec@1 34.375 (33.445)	Prec@5 53.125 (63.643)
Epoch: [8][10790/14090]	Time 0.773 (0.763)	Data 0.001 (0.001)	Loss 2.7077 (2.8059)	Prec@1 39.844 (33.445)	Prec@5 70.312 (63.642)
Epoch: [8][10800/14090]	Time 0.807 (0.763)	Data 0.001 (0.001)	Loss 3.0748 (2.8059)	Prec@1 29.688 (33.445)	Prec@5 54.688 (63.641)
Epoch: [8][10810/14090]	Time 0.746 (0.763)	Data 0.001 (0.001)	Loss 3.0392 (2.8058)	Prec@1 30.469 (33.445)	Prec@5 58.594 (63.642)
Epoch: [8][10820/14090]	Time 0.753 (0.763)	Data 0.001 (0.001)	Loss 2.8280 (2.8058)	Prec@1 34.375 (33.445)	Prec@5 60.938 (63.643)
Epoch: [8][10830/14090]	Time 0.761 (0.763)	Data 0.001 (0.001)	Loss 2.7881 (2.8059)	Prec@1 35.156 (33.441)	Prec@5 60.938 (63.639)
Epoch: [8][10840/14090]	Time 0.766 (0.763)	Data 0.001 (0.001)	Loss 3.0860 (2.8060)	Prec@1 27.344 (33.439)	Prec@5 60.156 (63.637)
Epoch: [8][10850/14090]	Time 0.748 (0.763)	Data 0.001 (0.001)	Loss 2.7803 (2.8060)	Prec@1 32.031 (33.439)	Prec@5 66.406 (63.637)
Epoch: [8][10860/14090]	Time 0.766 (0.763)	Data 0.001 (0.001)	Loss 2.6138 (2.8061)	Prec@1 39.062 (33.439)	Prec@5 70.312 (63.637)
Epoch: [8][10870/14090]	Time 0.905 (0.763)	Data 0.001 (0.001)	Loss 2.9624 (2.8060)	Prec@1 32.031 (33.442)	Prec@5 65.625 (63.637)
Epoch: [8][10880/14090]	Time 0.774 (0.763)	Data 0.001 (0.001)	Loss 2.9841 (2.8060)	Prec@1 28.125 (33.443)	Prec@5 60.156 (63.637)
Epoch: [8][10890/14090]	Time 0.756 (0.763)	Data 0.001 (0.001)	Loss 2.9182 (2.8060)	Prec@1 34.375 (33.443)	Prec@5 60.156 (63.638)
Epoch: [8][10900/14090]	Time 0.739 (0.763)	Data 0.001 (0.001)	Loss 2.9505 (2.8060)	Prec@1 39.062 (33.443)	Prec@5 60.156 (63.636)
Epoch: [8][10910/14090]	Time 0.739 (0.763)	Data 0.001 (0.001)	Loss 2.9094 (2.8060)	Prec@1 29.688 (33.443)	Prec@5 60.156 (63.637)
Epoch: [8][10920/14090]	Time 0.746 (0.763)	Data 0.001 (0.001)	Loss 2.6592 (2.8060)	Prec@1 32.031 (33.444)	Prec@5 67.188 (63.639)
Epoch: [8][10930/14090]	Time 0.763 (0.763)	Data 0.001 (0.001)	Loss 2.9387 (2.8060)	Prec@1 32.031 (33.444)	Prec@5 59.375 (63.640)
Epoch: [8][10940/14090]	Time 0.862 (0.763)	Data 0.001 (0.001)	Loss 2.8956 (2.8060)	Prec@1 32.812 (33.442)	Prec@5 60.938 (63.639)
Epoch: [8][10950/14090]	Time 0.727 (0.763)	Data 0.001 (0.001)	Loss 2.9992 (2.8060)	Prec@1 30.469 (33.441)	Prec@5 60.938 (63.639)
Epoch: [8][10960/14090]	Time 0.746 (0.763)	Data 0.001 (0.001)	Loss 2.7445 (2.8060)	Prec@1 32.031 (33.441)	Prec@5 60.938 (63.638)
Epoch: [8][10970/14090]	Time 0.765 (0.763)	Data 0.001 (0.001)	Loss 2.6839 (2.8059)	Prec@1 40.625 (33.443)	Prec@5 67.188 (63.640)
Epoch: [8][10980/14090]	Time 0.737 (0.763)	Data 0.001 (0.001)	Loss 2.9596 (2.8059)	Prec@1 28.125 (33.442)	Prec@5 57.031 (63.639)
Epoch: [8][10990/14090]	Time 0.758 (0.763)	Data 0.001 (0.001)	Loss 2.8060 (2.8060)	Prec@1 32.812 (33.440)	Prec@5 61.719 (63.637)
Epoch: [8][11000/14090]	Time 0.749 (0.763)	Data 0.001 (0.001)	Loss 3.0790 (2.8060)	Prec@1 24.219 (33.440)	Prec@5 60.156 (63.637)
Epoch: [8][11010/14090]	Time 0.863 (0.763)	Data 0.001 (0.001)	Loss 2.8206 (2.8060)	Prec@1 33.594 (33.441)	Prec@5 63.281 (63.636)
Epoch: [8][11020/14090]	Time 0.745 (0.763)	Data 0.001 (0.001)	Loss 3.0061 (2.8060)	Prec@1 24.219 (33.439)	Prec@5 57.812 (63.636)
Epoch: [8][11030/14090]	Time 0.752 (0.763)	Data 0.001 (0.001)	Loss 2.8908 (2.8060)	Prec@1 23.438 (33.439)	Prec@5 66.406 (63.636)
Epoch: [8][11040/14090]	Time 0.737 (0.763)	Data 0.001 (0.001)	Loss 2.5003 (2.8058)	Prec@1 43.750 (33.442)	Prec@5 74.219 (63.640)
Epoch: [8][11050/14090]	Time 0.731 (0.763)	Data 0.001 (0.001)	Loss 2.6963 (2.8059)	Prec@1 39.844 (33.441)	Prec@5 65.625 (63.639)
Epoch: [8][11060/14090]	Time 0.726 (0.763)	Data 0.001 (0.001)	Loss 2.6022 (2.8059)	Prec@1 35.938 (33.442)	Prec@5 68.750 (63.640)
Epoch: [8][11070/14090]	Time 0.760 (0.763)	Data 0.001 (0.001)	Loss 2.6189 (2.8059)	Prec@1 35.156 (33.442)	Prec@5 69.531 (63.641)
Epoch: [8][11080/14090]	Time 0.855 (0.763)	Data 0.001 (0.001)	Loss 2.7203 (2.8058)	Prec@1 32.812 (33.444)	Prec@5 65.625 (63.643)
Epoch: [8][11090/14090]	Time 0.743 (0.763)	Data 0.001 (0.001)	Loss 2.9119 (2.8059)	Prec@1 36.719 (33.444)	Prec@5 60.156 (63.641)
Epoch: [8][11100/14090]	Time 0.747 (0.763)	Data 0.001 (0.001)	Loss 2.8734 (2.8059)	Prec@1 35.938 (33.445)	Prec@5 62.500 (63.640)
Epoch: [8][11110/14090]	Time 0.761 (0.763)	Data 0.001 (0.001)	Loss 2.8395 (2.8059)	Prec@1 32.031 (33.444)	Prec@5 57.812 (63.639)
Epoch: [8][11120/14090]	Time 0.758 (0.763)	Data 0.001 (0.001)	Loss 2.6266 (2.8059)	Prec@1 29.688 (33.443)	Prec@5 65.625 (63.640)
Epoch: [8][11130/14090]	Time 0.745 (0.763)	Data 0.001 (0.001)	Loss 2.4063 (2.8058)	Prec@1 41.406 (33.444)	Prec@5 67.969 (63.641)
Epoch: [8][11140/14090]	Time 0.776 (0.763)	Data 0.001 (0.001)	Loss 2.7856 (2.8058)	Prec@1 32.812 (33.443)	Prec@5 65.625 (63.642)
Epoch: [8][11150/14090]	Time 0.840 (0.763)	Data 0.001 (0.001)	Loss 2.5736 (2.8058)	Prec@1 32.031 (33.444)	Prec@5 68.750 (63.641)
Epoch: [8][11160/14090]	Time 0.761 (0.763)	Data 0.001 (0.001)	Loss 3.1180 (2.8058)	Prec@1 21.875 (33.443)	Prec@5 56.250 (63.639)
Epoch: [8][11170/14090]	Time 0.743 (0.763)	Data 0.001 (0.001)	Loss 3.0749 (2.8059)	Prec@1 28.125 (33.441)	Prec@5 57.812 (63.638)
Epoch: [8][11180/14090]	Time 0.748 (0.763)	Data 0.001 (0.001)	Loss 2.6841 (2.8058)	Prec@1 35.938 (33.441)	Prec@5 67.188 (63.639)
Epoch: [8][11190/14090]	Time 0.746 (0.763)	Data 0.001 (0.001)	Loss 3.1017 (2.8058)	Prec@1 32.031 (33.441)	Prec@5 52.344 (63.640)
Epoch: [8][11200/14090]	Time 0.750 (0.763)	Data 0.001 (0.001)	Loss 2.7786 (2.8059)	Prec@1 33.594 (33.440)	Prec@5 64.062 (63.640)
Epoch: [8][11210/14090]	Time 0.729 (0.763)	Data 0.001 (0.001)	Loss 2.8875 (2.8059)	Prec@1 32.812 (33.439)	Prec@5 60.156 (63.639)
Epoch: [8][11220/14090]	Time 0.885 (0.763)	Data 0.001 (0.001)	Loss 2.8165 (2.8058)	Prec@1 27.344 (33.440)	Prec@5 64.844 (63.642)
Epoch: [8][11230/14090]	Time 0.743 (0.763)	Data 0.001 (0.001)	Loss 2.9395 (2.8058)	Prec@1 32.812 (33.441)	Prec@5 62.500 (63.644)
Epoch: [8][11240/14090]	Time 0.757 (0.763)	Data 0.001 (0.001)	Loss 2.8705 (2.8059)	Prec@1 34.375 (33.441)	Prec@5 59.375 (63.641)
Epoch: [8][11250/14090]	Time 0.755 (0.763)	Data 0.001 (0.001)	Loss 2.4766 (2.8059)	Prec@1 33.594 (33.440)	Prec@5 78.906 (63.641)
Epoch: [8][11260/14090]	Time 0.753 (0.763)	Data 0.001 (0.001)	Loss 2.7505 (2.8059)	Prec@1 39.844 (33.440)	Prec@5 63.281 (63.640)
Epoch: [8][11270/14090]	Time 0.729 (0.763)	Data 0.001 (0.001)	Loss 2.6950 (2.8058)	Prec@1 32.812 (33.443)	Prec@5 64.062 (63.642)
Epoch: [8][11280/14090]	Time 0.730 (0.763)	Data 0.001 (0.001)	Loss 2.7860 (2.8057)	Prec@1 40.625 (33.446)	Prec@5 61.719 (63.642)
Epoch: [8][11290/14090]	Time 0.833 (0.763)	Data 0.001 (0.001)	Loss 2.6571 (2.8057)	Prec@1 35.938 (33.446)	Prec@5 66.406 (63.643)
Epoch: [8][11300/14090]	Time 0.739 (0.763)	Data 0.001 (0.001)	Loss 2.8205 (2.8056)	Prec@1 33.594 (33.448)	Prec@5 63.281 (63.643)
Epoch: [8][11310/14090]	Time 0.749 (0.763)	Data 0.001 (0.001)	Loss 2.7006 (2.8056)	Prec@1 40.625 (33.448)	Prec@5 68.750 (63.643)
Epoch: [8][11320/14090]	Time 0.743 (0.763)	Data 0.001 (0.001)	Loss 2.6798 (2.8056)	Prec@1 37.500 (33.449)	Prec@5 60.156 (63.643)
Epoch: [8][11330/14090]	Time 0.738 (0.763)	Data 0.001 (0.001)	Loss 2.8894 (2.8056)	Prec@1 32.812 (33.449)	Prec@5 63.281 (63.642)
Epoch: [8][11340/14090]	Time 0.758 (0.763)	Data 0.001 (0.001)	Loss 2.9574 (2.8055)	Prec@1 29.688 (33.449)	Prec@5 59.375 (63.643)
Epoch: [8][11350/14090]	Time 0.773 (0.763)	Data 0.001 (0.001)	Loss 3.0168 (2.8055)	Prec@1 34.375 (33.449)	Prec@5 62.500 (63.643)
Epoch: [8][11360/14090]	Time 0.837 (0.763)	Data 0.001 (0.001)	Loss 2.8869 (2.8056)	Prec@1 28.125 (33.449)	Prec@5 60.938 (63.642)
Epoch: [8][11370/14090]	Time 0.753 (0.763)	Data 0.001 (0.001)	Loss 2.5679 (2.8056)	Prec@1 26.562 (33.447)	Prec@5 72.656 (63.644)
Epoch: [8][11380/14090]	Time 0.724 (0.763)	Data 0.001 (0.001)	Loss 2.8860 (2.8055)	Prec@1 32.031 (33.448)	Prec@5 62.500 (63.644)
Epoch: [8][11390/14090]	Time 0.729 (0.763)	Data 0.001 (0.001)	Loss 2.9333 (2.8055)	Prec@1 32.031 (33.448)	Prec@5 60.938 (63.645)
Epoch: [8][11400/14090]	Time 0.760 (0.763)	Data 0.001 (0.001)	Loss 3.0053 (2.8055)	Prec@1 28.906 (33.448)	Prec@5 60.156 (63.646)
Epoch: [8][11410/14090]	Time 0.756 (0.763)	Data 0.001 (0.001)	Loss 2.5821 (2.8055)	Prec@1 39.844 (33.449)	Prec@5 67.188 (63.646)
Epoch: [8][11420/14090]	Time 0.738 (0.763)	Data 0.001 (0.001)	Loss 2.5280 (2.8054)	Prec@1 37.500 (33.451)	Prec@5 73.438 (63.648)
Epoch: [8][11430/14090]	Time 0.874 (0.763)	Data 0.001 (0.001)	Loss 2.8160 (2.8054)	Prec@1 31.250 (33.450)	Prec@5 62.500 (63.647)
Epoch: [8][11440/14090]	Time 0.737 (0.763)	Data 0.001 (0.001)	Loss 2.7172 (2.8054)	Prec@1 37.500 (33.452)	Prec@5 66.406 (63.648)
Epoch: [8][11450/14090]	Time 0.757 (0.763)	Data 0.001 (0.001)	Loss 2.7957 (2.8053)	Prec@1 39.062 (33.453)	Prec@5 62.500 (63.650)
Epoch: [8][11460/14090]	Time 0.768 (0.763)	Data 0.001 (0.001)	Loss 2.7452 (2.8053)	Prec@1 37.500 (33.454)	Prec@5 67.188 (63.651)
Epoch: [8][11470/14090]	Time 0.745 (0.763)	Data 0.001 (0.001)	Loss 2.5546 (2.8052)	Prec@1 42.188 (33.454)	Prec@5 67.969 (63.652)
Epoch: [8][11480/14090]	Time 0.741 (0.763)	Data 0.001 (0.001)	Loss 2.8835 (2.8053)	Prec@1 32.031 (33.452)	Prec@5 62.500 (63.651)
Epoch: [8][11490/14090]	Time 0.744 (0.763)	Data 0.001 (0.001)	Loss 3.0637 (2.8053)	Prec@1 32.031 (33.452)	Prec@5 61.719 (63.651)
Epoch: [8][11500/14090]	Time 0.912 (0.763)	Data 0.001 (0.001)	Loss 3.0326 (2.8053)	Prec@1 28.906 (33.452)	Prec@5 60.938 (63.651)
Epoch: [8][11510/14090]	Time 0.732 (0.763)	Data 0.001 (0.001)	Loss 2.8707 (2.8054)	Prec@1 32.031 (33.449)	Prec@5 57.031 (63.649)
Epoch: [8][11520/14090]	Time 0.761 (0.763)	Data 0.001 (0.001)	Loss 2.8989 (2.8055)	Prec@1 31.250 (33.446)	Prec@5 57.031 (63.646)
Epoch: [8][11530/14090]	Time 0.721 (0.763)	Data 0.001 (0.001)	Loss 2.9434 (2.8055)	Prec@1 28.906 (33.446)	Prec@5 61.719 (63.645)
Epoch: [8][11540/14090]	Time 0.733 (0.763)	Data 0.001 (0.001)	Loss 2.9389 (2.8056)	Prec@1 32.031 (33.447)	Prec@5 64.844 (63.645)
Epoch: [8][11550/14090]	Time 0.779 (0.763)	Data 0.001 (0.001)	Loss 2.9929 (2.8056)	Prec@1 26.562 (33.446)	Prec@5 59.375 (63.643)
Epoch: [8][11560/14090]	Time 0.759 (0.763)	Data 0.001 (0.001)	Loss 2.7392 (2.8056)	Prec@1 34.375 (33.447)	Prec@5 62.500 (63.642)
Epoch: [8][11570/14090]	Time 0.883 (0.763)	Data 0.001 (0.001)	Loss 2.6391 (2.8056)	Prec@1 35.938 (33.447)	Prec@5 64.844 (63.641)
Epoch: [8][11580/14090]	Time 0.750 (0.763)	Data 0.001 (0.001)	Loss 2.9094 (2.8056)	Prec@1 39.062 (33.448)	Prec@5 57.812 (63.641)
Epoch: [8][11590/14090]	Time 0.723 (0.763)	Data 0.001 (0.001)	Loss 2.7554 (2.8056)	Prec@1 33.594 (33.448)	Prec@5 63.281 (63.643)
Epoch: [8][11600/14090]	Time 0.738 (0.763)	Data 0.001 (0.001)	Loss 2.7704 (2.8057)	Prec@1 35.156 (33.446)	Prec@5 65.625 (63.641)
Epoch: [8][11610/14090]	Time 0.747 (0.763)	Data 0.001 (0.001)	Loss 3.1326 (2.8057)	Prec@1 32.812 (33.446)	Prec@5 57.812 (63.641)
Epoch: [8][11620/14090]	Time 0.722 (0.763)	Data 0.001 (0.001)	Loss 2.6697 (2.8057)	Prec@1 38.281 (33.446)	Prec@5 62.500 (63.640)
Epoch: [8][11630/14090]	Time 0.738 (0.763)	Data 0.001 (0.001)	Loss 2.5940 (2.8058)	Prec@1 36.719 (33.444)	Prec@5 66.406 (63.639)
Epoch: [8][11640/14090]	Time 0.825 (0.763)	Data 0.001 (0.001)	Loss 2.9936 (2.8058)	Prec@1 28.906 (33.443)	Prec@5 60.156 (63.636)
Epoch: [8][11650/14090]	Time 0.750 (0.763)	Data 0.001 (0.001)	Loss 2.8571 (2.8059)	Prec@1 34.375 (33.442)	Prec@5 61.719 (63.634)
Epoch: [8][11660/14090]	Time 0.750 (0.763)	Data 0.001 (0.001)	Loss 2.7916 (2.8059)	Prec@1 39.844 (33.444)	Prec@5 65.625 (63.633)
Epoch: [8][11670/14090]	Time 0.757 (0.763)	Data 0.001 (0.001)	Loss 3.0633 (2.8060)	Prec@1 32.812 (33.443)	Prec@5 57.812 (63.633)
Epoch: [8][11680/14090]	Time 0.729 (0.763)	Data 0.001 (0.001)	Loss 2.6464 (2.8059)	Prec@1 33.594 (33.443)	Prec@5 67.969 (63.635)
Epoch: [8][11690/14090]	Time 0.755 (0.763)	Data 0.001 (0.001)	Loss 2.6078 (2.8058)	Prec@1 36.719 (33.444)	Prec@5 63.281 (63.635)
Epoch: [8][11700/14090]	Time 0.729 (0.763)	Data 0.001 (0.001)	Loss 2.8074 (2.8058)	Prec@1 32.031 (33.444)	Prec@5 64.062 (63.635)
Epoch: [8][11710/14090]	Time 0.895 (0.763)	Data 0.001 (0.001)	Loss 2.5391 (2.8058)	Prec@1 39.844 (33.444)	Prec@5 71.875 (63.634)
Epoch: [8][11720/14090]	Time 0.767 (0.763)	Data 0.001 (0.001)	Loss 2.9417 (2.8059)	Prec@1 32.812 (33.443)	Prec@5 60.156 (63.633)
Epoch: [8][11730/14090]	Time 0.735 (0.763)	Data 0.001 (0.001)	Loss 3.1327 (2.8059)	Prec@1 30.469 (33.444)	Prec@5 60.938 (63.635)
Epoch: [8][11740/14090]	Time 0.753 (0.763)	Data 0.001 (0.001)	Loss 2.8702 (2.8059)	Prec@1 29.688 (33.443)	Prec@5 62.500 (63.634)
Epoch: [8][11750/14090]	Time 0.725 (0.763)	Data 0.001 (0.001)	Loss 2.8201 (2.8059)	Prec@1 38.281 (33.443)	Prec@5 64.844 (63.633)
Epoch: [8][11760/14090]	Time 0.753 (0.763)	Data 0.001 (0.001)	Loss 2.7039 (2.8059)	Prec@1 29.688 (33.441)	Prec@5 65.625 (63.633)
Epoch: [8][11770/14090]	Time 0.750 (0.763)	Data 0.001 (0.001)	Loss 2.5834 (2.8059)	Prec@1 38.281 (33.442)	Prec@5 71.094 (63.634)
Epoch: [8][11780/14090]	Time 0.862 (0.763)	Data 0.001 (0.001)	Loss 2.8343 (2.8059)	Prec@1 37.500 (33.443)	Prec@5 62.500 (63.635)
Epoch: [8][11790/14090]	Time 0.755 (0.763)	Data 0.001 (0.001)	Loss 3.0130 (2.8059)	Prec@1 32.812 (33.442)	Prec@5 60.938 (63.634)
Epoch: [8][11800/14090]	Time 0.748 (0.763)	Data 0.001 (0.001)	Loss 2.8518 (2.8059)	Prec@1 32.031 (33.441)	Prec@5 64.844 (63.634)
Epoch: [8][11810/14090]	Time 0.783 (0.763)	Data 0.001 (0.001)	Loss 2.8539 (2.8060)	Prec@1 35.156 (33.441)	Prec@5 61.719 (63.632)
Epoch: [8][11820/14090]	Time 0.739 (0.763)	Data 0.001 (0.001)	Loss 2.8059 (2.8060)	Prec@1 38.281 (33.441)	Prec@5 60.156 (63.631)
Epoch: [8][11830/14090]	Time 0.745 (0.763)	Data 0.000 (0.001)	Loss 2.7905 (2.8059)	Prec@1 35.938 (33.443)	Prec@5 66.406 (63.632)
Epoch: [8][11840/14090]	Time 0.751 (0.763)	Data 0.001 (0.001)	Loss 2.5848 (2.8058)	Prec@1 34.375 (33.444)	Prec@5 66.406 (63.633)
Epoch: [8][11850/14090]	Time 0.870 (0.763)	Data 0.001 (0.001)	Loss 2.7107 (2.8058)	Prec@1 32.812 (33.443)	Prec@5 60.938 (63.633)
Epoch: [8][11860/14090]	Time 0.736 (0.763)	Data 0.001 (0.001)	Loss 2.7391 (2.8058)	Prec@1 34.375 (33.442)	Prec@5 64.062 (63.634)
Epoch: [8][11870/14090]	Time 0.751 (0.763)	Data 0.001 (0.001)	Loss 2.8375 (2.8059)	Prec@1 32.031 (33.440)	Prec@5 61.719 (63.632)
Epoch: [8][11880/14090]	Time 0.752 (0.763)	Data 0.001 (0.001)	Loss 2.8053 (2.8059)	Prec@1 34.375 (33.440)	Prec@5 66.406 (63.633)
Epoch: [8][11890/14090]	Time 0.739 (0.763)	Data 0.001 (0.001)	Loss 2.6630 (2.8058)	Prec@1 35.938 (33.439)	Prec@5 67.969 (63.634)
Epoch: [8][11900/14090]	Time 0.725 (0.763)	Data 0.001 (0.001)	Loss 3.1387 (2.8058)	Prec@1 33.594 (33.441)	Prec@5 54.688 (63.636)
Epoch: [8][11910/14090]	Time 0.759 (0.763)	Data 0.001 (0.001)	Loss 2.5124 (2.8058)	Prec@1 40.625 (33.441)	Prec@5 74.219 (63.635)
Epoch: [8][11920/14090]	Time 0.821 (0.763)	Data 0.001 (0.001)	Loss 3.0539 (2.8058)	Prec@1 30.469 (33.441)	Prec@5 58.594 (63.634)
Epoch: [8][11930/14090]	Time 0.738 (0.763)	Data 0.001 (0.001)	Loss 2.9764 (2.8058)	Prec@1 35.938 (33.441)	Prec@5 54.688 (63.633)
Epoch: [8][11940/14090]	Time 0.739 (0.763)	Data 0.001 (0.001)	Loss 2.6982 (2.8059)	Prec@1 42.188 (33.441)	Prec@5 64.844 (63.632)
Epoch: [8][11950/14090]	Time 0.747 (0.763)	Data 0.001 (0.001)	Loss 2.8143 (2.8058)	Prec@1 34.375 (33.441)	Prec@5 63.281 (63.632)
Epoch: [8][11960/14090]	Time 0.738 (0.763)	Data 0.001 (0.001)	Loss 3.1981 (2.8058)	Prec@1 30.469 (33.442)	Prec@5 55.469 (63.632)
Epoch: [8][11970/14090]	Time 0.731 (0.763)	Data 0.001 (0.001)	Loss 2.9929 (2.8059)	Prec@1 32.031 (33.443)	Prec@5 58.594 (63.632)
Epoch: [8][11980/14090]	Time 0.780 (0.763)	Data 0.001 (0.001)	Loss 2.9299 (2.8059)	Prec@1 25.781 (33.442)	Prec@5 62.500 (63.631)
Epoch: [8][11990/14090]	Time 0.865 (0.763)	Data 0.001 (0.001)	Loss 2.7634 (2.8059)	Prec@1 35.156 (33.444)	Prec@5 58.594 (63.629)
Epoch: [8][12000/14090]	Time 0.743 (0.763)	Data 0.001 (0.001)	Loss 2.8604 (2.8059)	Prec@1 33.594 (33.445)	Prec@5 64.062 (63.630)
Epoch: [8][12010/14090]	Time 0.753 (0.763)	Data 0.001 (0.001)	Loss 2.9271 (2.8059)	Prec@1 27.344 (33.444)	Prec@5 60.938 (63.629)
Epoch: [8][12020/14090]	Time 0.780 (0.763)	Data 0.001 (0.001)	Loss 2.8787 (2.8058)	Prec@1 33.594 (33.443)	Prec@5 58.594 (63.630)
Epoch: [8][12030/14090]	Time 0.760 (0.763)	Data 0.001 (0.001)	Loss 2.6228 (2.8058)	Prec@1 31.250 (33.444)	Prec@5 67.188 (63.630)
Epoch: [8][12040/14090]	Time 0.754 (0.763)	Data 0.001 (0.001)	Loss 2.8648 (2.8058)	Prec@1 33.594 (33.445)	Prec@5 65.625 (63.629)
Epoch: [8][12050/14090]	Time 0.727 (0.763)	Data 0.001 (0.001)	Loss 2.5713 (2.8058)	Prec@1 36.719 (33.444)	Prec@5 67.969 (63.629)
Epoch: [8][12060/14090]	Time 0.876 (0.763)	Data 0.001 (0.001)	Loss 2.6906 (2.8059)	Prec@1 31.250 (33.443)	Prec@5 67.969 (63.629)
Epoch: [8][12070/14090]	Time 0.756 (0.763)	Data 0.001 (0.001)	Loss 2.6085 (2.8058)	Prec@1 36.719 (33.442)	Prec@5 71.094 (63.630)
Epoch: [8][12080/14090]	Time 0.763 (0.763)	Data 0.001 (0.001)	Loss 2.6988 (2.8058)	Prec@1 37.500 (33.444)	Prec@5 67.188 (63.633)
Epoch: [8][12090/14090]	Time 0.757 (0.763)	Data 0.001 (0.001)	Loss 3.0760 (2.8057)	Prec@1 26.562 (33.444)	Prec@5 60.156 (63.633)
Epoch: [8][12100/14090]	Time 0.742 (0.763)	Data 0.001 (0.001)	Loss 2.6791 (2.8057)	Prec@1 33.594 (33.444)	Prec@5 66.406 (63.633)
Epoch: [8][12110/14090]	Time 0.727 (0.763)	Data 0.001 (0.001)	Loss 2.8636 (2.8058)	Prec@1 32.812 (33.443)	Prec@5 55.469 (63.632)
Epoch: [8][12120/14090]	Time 0.760 (0.763)	Data 0.001 (0.001)	Loss 2.7131 (2.8058)	Prec@1 42.188 (33.444)	Prec@5 63.281 (63.632)
Epoch: [8][12130/14090]	Time 0.878 (0.763)	Data 0.001 (0.001)	Loss 2.8173 (2.8058)	Prec@1 40.625 (33.445)	Prec@5 70.312 (63.632)
Epoch: [8][12140/14090]	Time 0.753 (0.763)	Data 0.001 (0.001)	Loss 2.6645 (2.8057)	Prec@1 34.375 (33.445)	Prec@5 68.750 (63.634)
Epoch: [8][12150/14090]	Time 0.747 (0.763)	Data 0.001 (0.001)	Loss 3.0474 (2.8058)	Prec@1 28.125 (33.444)	Prec@5 57.812 (63.633)
Epoch: [8][12160/14090]	Time 0.745 (0.763)	Data 0.001 (0.001)	Loss 3.2508 (2.8059)	Prec@1 25.000 (33.443)	Prec@5 58.594 (63.630)
Epoch: [8][12170/14090]	Time 0.740 (0.763)	Data 0.001 (0.001)	Loss 2.4756 (2.8058)	Prec@1 43.750 (33.444)	Prec@5 66.406 (63.631)
Epoch: [8][12180/14090]	Time 0.742 (0.763)	Data 0.001 (0.001)	Loss 2.7843 (2.8058)	Prec@1 39.844 (33.443)	Prec@5 64.062 (63.632)
Epoch: [8][12190/14090]	Time 0.747 (0.763)	Data 0.001 (0.001)	Loss 2.8322 (2.8058)	Prec@1 33.594 (33.442)	Prec@5 60.938 (63.630)
Epoch: [8][12200/14090]	Time 0.883 (0.763)	Data 0.001 (0.001)	Loss 2.7905 (2.8059)	Prec@1 28.906 (33.442)	Prec@5 62.500 (63.629)
Epoch: [8][12210/14090]	Time 0.748 (0.763)	Data 0.001 (0.001)	Loss 2.9705 (2.8058)	Prec@1 28.906 (33.441)	Prec@5 61.719 (63.629)
Epoch: [8][12220/14090]	Time 0.740 (0.763)	Data 0.001 (0.001)	Loss 2.7804 (2.8058)	Prec@1 29.688 (33.441)	Prec@5 65.625 (63.630)
Epoch: [8][12230/14090]	Time 0.743 (0.763)	Data 0.001 (0.001)	Loss 2.5202 (2.8058)	Prec@1 36.719 (33.441)	Prec@5 69.531 (63.631)
Epoch: [8][12240/14090]	Time 0.747 (0.763)	Data 0.001 (0.001)	Loss 2.6391 (2.8058)	Prec@1 33.594 (33.441)	Prec@5 68.750 (63.631)
Epoch: [8][12250/14090]	Time 0.724 (0.763)	Data 0.001 (0.001)	Loss 2.7202 (2.8057)	Prec@1 35.156 (33.442)	Prec@5 60.938 (63.631)
Epoch: [8][12260/14090]	Time 0.763 (0.763)	Data 0.001 (0.001)	Loss 2.7016 (2.8057)	Prec@1 32.031 (33.442)	Prec@5 66.406 (63.631)
Epoch: [8][12270/14090]	Time 0.882 (0.763)	Data 0.001 (0.001)	Loss 2.9172 (2.8057)	Prec@1 28.125 (33.441)	Prec@5 63.281 (63.630)
Epoch: [8][12280/14090]	Time 0.733 (0.763)	Data 0.001 (0.001)	Loss 2.8604 (2.8057)	Prec@1 30.469 (33.441)	Prec@5 61.719 (63.630)
Epoch: [8][12290/14090]	Time 0.769 (0.763)	Data 0.001 (0.001)	Loss 2.9024 (2.8058)	Prec@1 31.250 (33.441)	Prec@5 61.719 (63.631)
Epoch: [8][12300/14090]	Time 0.718 (0.763)	Data 0.001 (0.001)	Loss 2.6662 (2.8057)	Prec@1 32.812 (33.441)	Prec@5 65.625 (63.630)
Epoch: [8][12310/14090]	Time 0.748 (0.763)	Data 0.001 (0.001)	Loss 2.8560 (2.8057)	Prec@1 38.281 (33.442)	Prec@5 64.844 (63.631)
Epoch: [8][12320/14090]	Time 0.753 (0.763)	Data 0.001 (0.001)	Loss 2.8033 (2.8057)	Prec@1 28.906 (33.442)	Prec@5 62.500 (63.631)
Epoch: [8][12330/14090]	Time 0.734 (0.763)	Data 0.001 (0.001)	Loss 2.8368 (2.8057)	Prec@1 29.688 (33.440)	Prec@5 64.844 (63.631)
Epoch: [8][12340/14090]	Time 0.884 (0.763)	Data 0.001 (0.001)	Loss 2.8089 (2.8057)	Prec@1 33.594 (33.440)	Prec@5 64.062 (63.630)
Epoch: [8][12350/14090]	Time 0.761 (0.763)	Data 0.001 (0.001)	Loss 2.8085 (2.8057)	Prec@1 32.031 (33.441)	Prec@5 64.844 (63.632)
Epoch: [8][12360/14090]	Time 0.728 (0.763)	Data 0.001 (0.001)	Loss 2.6509 (2.8057)	Prec@1 38.281 (33.440)	Prec@5 64.844 (63.631)
Epoch: [8][12370/14090]	Time 0.750 (0.763)	Data 0.001 (0.001)	Loss 2.8596 (2.8057)	Prec@1 35.156 (33.441)	Prec@5 59.375 (63.631)
Epoch: [8][12380/14090]	Time 0.735 (0.763)	Data 0.001 (0.001)	Loss 3.1310 (2.8056)	Prec@1 30.469 (33.441)	Prec@5 56.250 (63.632)
Epoch: [8][12390/14090]	Time 0.725 (0.763)	Data 0.001 (0.001)	Loss 2.6767 (2.8056)	Prec@1 32.031 (33.441)	Prec@5 65.625 (63.633)
Epoch: [8][12400/14090]	Time 0.756 (0.763)	Data 0.001 (0.001)	Loss 2.7432 (2.8056)	Prec@1 42.969 (33.441)	Prec@5 62.500 (63.633)
Epoch: [8][12410/14090]	Time 0.839 (0.763)	Data 0.001 (0.001)	Loss 2.8283 (2.8056)	Prec@1 30.469 (33.441)	Prec@5 60.938 (63.633)
Epoch: [8][12420/14090]	Time 0.724 (0.763)	Data 0.001 (0.001)	Loss 2.7392 (2.8056)	Prec@1 32.031 (33.443)	Prec@5 62.500 (63.634)
Epoch: [8][12430/14090]	Time 0.763 (0.763)	Data 0.001 (0.001)	Loss 2.8467 (2.8056)	Prec@1 28.125 (33.441)	Prec@5 60.156 (63.633)
Epoch: [8][12440/14090]	Time 0.740 (0.763)	Data 0.001 (0.001)	Loss 2.9064 (2.8056)	Prec@1 33.594 (33.443)	Prec@5 61.719 (63.633)
Epoch: [8][12450/14090]	Time 0.750 (0.763)	Data 0.001 (0.001)	Loss 2.8061 (2.8056)	Prec@1 35.156 (33.442)	Prec@5 64.062 (63.633)
Epoch: [8][12460/14090]	Time 0.729 (0.763)	Data 0.001 (0.001)	Loss 2.5471 (2.8056)	Prec@1 32.812 (33.441)	Prec@5 64.844 (63.634)
Epoch: [8][12470/14090]	Time 0.754 (0.763)	Data 0.001 (0.001)	Loss 3.0677 (2.8055)	Prec@1 28.906 (33.441)	Prec@5 58.594 (63.634)
Epoch: [8][12480/14090]	Time 0.823 (0.763)	Data 0.001 (0.001)	Loss 2.9470 (2.8056)	Prec@1 33.594 (33.442)	Prec@5 63.281 (63.634)
Epoch: [8][12490/14090]	Time 0.733 (0.763)	Data 0.001 (0.001)	Loss 3.0515 (2.8057)	Prec@1 28.906 (33.441)	Prec@5 60.156 (63.632)
Epoch: [8][12500/14090]	Time 0.758 (0.763)	Data 0.001 (0.001)	Loss 3.1214 (2.8057)	Prec@1 29.688 (33.440)	Prec@5 55.469 (63.632)
Epoch: [8][12510/14090]	Time 0.771 (0.763)	Data 0.001 (0.001)	Loss 3.1060 (2.8058)	Prec@1 28.906 (33.440)	Prec@5 53.125 (63.630)
Epoch: [8][12520/14090]	Time 0.750 (0.763)	Data 0.001 (0.001)	Loss 2.5444 (2.8057)	Prec@1 33.594 (33.442)	Prec@5 71.875 (63.631)
Epoch: [8][12530/14090]	Time 0.753 (0.763)	Data 0.001 (0.001)	Loss 2.6452 (2.8057)	Prec@1 32.812 (33.442)	Prec@5 66.406 (63.630)
Epoch: [8][12540/14090]	Time 0.767 (0.763)	Data 0.001 (0.001)	Loss 2.7182 (2.8057)	Prec@1 38.281 (33.441)	Prec@5 65.625 (63.629)
Epoch: [8][12550/14090]	Time 0.856 (0.763)	Data 0.001 (0.001)	Loss 2.9946 (2.8057)	Prec@1 32.812 (33.441)	Prec@5 63.281 (63.630)
Epoch: [8][12560/14090]	Time 0.745 (0.763)	Data 0.001 (0.001)	Loss 2.8145 (2.8057)	Prec@1 33.594 (33.442)	Prec@5 65.625 (63.630)
Epoch: [8][12570/14090]	Time 0.735 (0.763)	Data 0.001 (0.001)	Loss 2.9564 (2.8057)	Prec@1 32.031 (33.442)	Prec@5 59.375 (63.631)
Epoch: [8][12580/14090]	Time 0.760 (0.763)	Data 0.001 (0.001)	Loss 2.7795 (2.8058)	Prec@1 33.594 (33.440)	Prec@5 64.062 (63.630)
Epoch: [8][12590/14090]	Time 0.749 (0.763)	Data 0.001 (0.001)	Loss 3.0803 (2.8058)	Prec@1 26.562 (33.440)	Prec@5 57.031 (63.631)
Epoch: [8][12600/14090]	Time 0.757 (0.763)	Data 0.001 (0.001)	Loss 2.7195 (2.8058)	Prec@1 30.469 (33.439)	Prec@5 65.625 (63.631)
Epoch: [8][12610/14090]	Time 0.756 (0.763)	Data 0.001 (0.001)	Loss 2.7659 (2.8058)	Prec@1 33.594 (33.437)	Prec@5 67.188 (63.630)
Epoch: [8][12620/14090]	Time 0.832 (0.763)	Data 0.001 (0.001)	Loss 2.6481 (2.8058)	Prec@1 39.844 (33.437)	Prec@5 66.406 (63.631)
Epoch: [8][12630/14090]	Time 0.733 (0.763)	Data 0.001 (0.001)	Loss 2.5724 (2.8058)	Prec@1 38.281 (33.437)	Prec@5 68.750 (63.630)
Epoch: [8][12640/14090]	Time 0.738 (0.763)	Data 0.001 (0.001)	Loss 2.8220 (2.8058)	Prec@1 32.812 (33.437)	Prec@5 61.719 (63.630)
Epoch: [8][12650/14090]	Time 0.744 (0.763)	Data 0.001 (0.001)	Loss 2.7955 (2.8058)	Prec@1 35.156 (33.438)	Prec@5 62.500 (63.630)
Epoch: [8][12660/14090]	Time 0.735 (0.763)	Data 0.001 (0.001)	Loss 2.5853 (2.8059)	Prec@1 36.719 (33.435)	Prec@5 67.188 (63.629)
Epoch: [8][12670/14090]	Time 0.729 (0.763)	Data 0.001 (0.001)	Loss 2.8917 (2.8060)	Prec@1 28.906 (33.433)	Prec@5 62.500 (63.628)
Epoch: [8][12680/14090]	Time 0.744 (0.763)	Data 0.001 (0.001)	Loss 2.9569 (2.8061)	Prec@1 34.375 (33.432)	Prec@5 60.156 (63.626)
Epoch: [8][12690/14090]	Time 0.861 (0.763)	Data 0.001 (0.001)	Loss 2.8884 (2.8060)	Prec@1 31.250 (33.433)	Prec@5 64.062 (63.627)
Epoch: [8][12700/14090]	Time 0.757 (0.763)	Data 0.001 (0.001)	Loss 3.2341 (2.8060)	Prec@1 25.781 (33.434)	Prec@5 57.812 (63.627)
Epoch: [8][12710/14090]	Time 0.740 (0.763)	Data 0.001 (0.001)	Loss 3.0372 (2.8061)	Prec@1 28.906 (33.432)	Prec@5 58.594 (63.627)
Epoch: [8][12720/14090]	Time 0.770 (0.763)	Data 0.001 (0.001)	Loss 3.1427 (2.8061)	Prec@1 25.781 (33.430)	Prec@5 60.938 (63.625)
Epoch: [8][12730/14090]	Time 0.749 (0.763)	Data 0.001 (0.001)	Loss 2.6173 (2.8062)	Prec@1 35.156 (33.429)	Prec@5 61.719 (63.625)
Epoch: [8][12740/14090]	Time 0.755 (0.763)	Data 0.001 (0.001)	Loss 2.6135 (2.8061)	Prec@1 39.844 (33.431)	Prec@5 64.844 (63.626)
Epoch: [8][12750/14090]	Time 0.729 (0.763)	Data 0.001 (0.001)	Loss 2.8218 (2.8060)	Prec@1 40.625 (33.432)	Prec@5 61.719 (63.627)
Epoch: [8][12760/14090]	Time 0.850 (0.763)	Data 0.001 (0.001)	Loss 2.7902 (2.8060)	Prec@1 37.500 (33.433)	Prec@5 64.844 (63.628)
Epoch: [8][12770/14090]	Time 0.725 (0.763)	Data 0.001 (0.001)	Loss 3.1856 (2.8061)	Prec@1 26.562 (33.430)	Prec@5 59.375 (63.627)
Epoch: [8][12780/14090]	Time 0.751 (0.763)	Data 0.001 (0.001)	Loss 2.6778 (2.8061)	Prec@1 35.938 (33.430)	Prec@5 67.969 (63.626)
Epoch: [8][12790/14090]	Time 0.759 (0.763)	Data 0.001 (0.001)	Loss 2.8595 (2.8060)	Prec@1 31.250 (33.431)	Prec@5 60.156 (63.626)
Epoch: [8][12800/14090]	Time 0.756 (0.763)	Data 0.001 (0.001)	Loss 2.8819 (2.8060)	Prec@1 29.688 (33.431)	Prec@5 63.281 (63.628)
Epoch: [8][12810/14090]	Time 0.729 (0.763)	Data 0.001 (0.001)	Loss 2.8433 (2.8059)	Prec@1 35.938 (33.431)	Prec@5 64.844 (63.628)
Epoch: [8][12820/14090]	Time 0.747 (0.763)	Data 0.001 (0.001)	Loss 2.8589 (2.8059)	Prec@1 29.688 (33.430)	Prec@5 66.406 (63.629)
Epoch: [8][12830/14090]	Time 0.827 (0.763)	Data 0.001 (0.001)	Loss 2.7378 (2.8060)	Prec@1 27.344 (33.430)	Prec@5 67.969 (63.629)
Epoch: [8][12840/14090]	Time 0.742 (0.763)	Data 0.001 (0.001)	Loss 2.6958 (2.8060)	Prec@1 32.812 (33.428)	Prec@5 66.406 (63.629)
Epoch: [8][12850/14090]	Time 0.739 (0.763)	Data 0.001 (0.001)	Loss 2.5457 (2.8059)	Prec@1 37.500 (33.430)	Prec@5 70.312 (63.631)
Epoch: [8][12860/14090]	Time 0.777 (0.763)	Data 0.001 (0.001)	Loss 2.7769 (2.8059)	Prec@1 34.375 (33.431)	Prec@5 60.938 (63.632)
Epoch: [8][12870/14090]	Time 0.747 (0.763)	Data 0.001 (0.001)	Loss 2.9433 (2.8058)	Prec@1 30.469 (33.432)	Prec@5 64.844 (63.632)
Epoch: [8][12880/14090]	Time 0.728 (0.763)	Data 0.001 (0.001)	Loss 2.8910 (2.8058)	Prec@1 33.594 (33.433)	Prec@5 61.719 (63.631)
Epoch: [8][12890/14090]	Time 0.733 (0.763)	Data 0.001 (0.001)	Loss 3.2932 (2.8059)	Prec@1 29.688 (33.431)	Prec@5 51.562 (63.628)
Epoch: [8][12900/14090]	Time 0.854 (0.763)	Data 0.001 (0.001)	Loss 2.8421 (2.8059)	Prec@1 38.281 (33.432)	Prec@5 64.062 (63.627)
Epoch: [8][12910/14090]	Time 0.738 (0.763)	Data 0.001 (0.001)	Loss 2.7001 (2.8058)	Prec@1 36.719 (33.431)	Prec@5 70.312 (63.628)
Epoch: [8][12920/14090]	Time 0.758 (0.763)	Data 0.001 (0.001)	Loss 3.0654 (2.8058)	Prec@1 27.344 (33.431)	Prec@5 54.688 (63.629)
Epoch: [8][12930/14090]	Time 0.746 (0.763)	Data 0.002 (0.001)	Loss 2.5762 (2.8058)	Prec@1 40.625 (33.431)	Prec@5 70.312 (63.630)
Epoch: [8][12940/14090]	Time 0.744 (0.763)	Data 0.001 (0.001)	Loss 2.8491 (2.8059)	Prec@1 34.375 (33.432)	Prec@5 59.375 (63.629)
Epoch: [8][12950/14090]	Time 0.765 (0.763)	Data 0.001 (0.001)	Loss 3.1710 (2.8059)	Prec@1 25.000 (33.431)	Prec@5 57.812 (63.629)
Epoch: [8][12960/14090]	Time 0.765 (0.763)	Data 0.001 (0.001)	Loss 3.0233 (2.8060)	Prec@1 28.906 (33.429)	Prec@5 60.938 (63.627)
Epoch: [8][12970/14090]	Time 0.836 (0.763)	Data 0.001 (0.001)	Loss 3.1605 (2.8060)	Prec@1 28.125 (33.429)	Prec@5 56.250 (63.627)
Epoch: [8][12980/14090]	Time 0.745 (0.763)	Data 0.001 (0.001)	Loss 2.6731 (2.8060)	Prec@1 37.500 (33.429)	Prec@5 63.281 (63.627)
Epoch: [8][12990/14090]	Time 0.780 (0.763)	Data 0.001 (0.001)	Loss 2.9851 (2.8060)	Prec@1 28.125 (33.428)	Prec@5 61.719 (63.627)
Epoch: [8][13000/14090]	Time 0.747 (0.763)	Data 0.002 (0.001)	Loss 2.7988 (2.8059)	Prec@1 31.250 (33.428)	Prec@5 62.500 (63.629)
Epoch: [8][13010/14090]	Time 0.766 (0.763)	Data 0.001 (0.001)	Loss 2.9089 (2.8059)	Prec@1 28.906 (33.430)	Prec@5 57.812 (63.629)
Epoch: [8][13020/14090]	Time 0.757 (0.763)	Data 0.001 (0.001)	Loss 2.9697 (2.8059)	Prec@1 32.031 (33.430)	Prec@5 62.500 (63.630)
Epoch: [8][13030/14090]	Time 0.736 (0.763)	Data 0.001 (0.001)	Loss 2.5017 (2.8059)	Prec@1 46.875 (33.430)	Prec@5 71.094 (63.630)
Epoch: [8][13040/14090]	Time 0.837 (0.763)	Data 0.001 (0.001)	Loss 2.7570 (2.8060)	Prec@1 35.938 (33.430)	Prec@5 60.938 (63.629)
Epoch: [8][13050/14090]	Time 0.745 (0.763)	Data 0.001 (0.001)	Loss 2.7212 (2.8060)	Prec@1 38.281 (33.430)	Prec@5 68.750 (63.629)
Epoch: [8][13060/14090]	Time 0.748 (0.763)	Data 0.001 (0.001)	Loss 2.8356 (2.8059)	Prec@1 31.250 (33.431)	Prec@5 65.625 (63.630)
Epoch: [8][13070/14090]	Time 0.766 (0.763)	Data 0.001 (0.001)	Loss 2.7753 (2.8060)	Prec@1 33.594 (33.429)	Prec@5 64.062 (63.630)
Epoch: [8][13080/14090]	Time 0.778 (0.763)	Data 0.001 (0.001)	Loss 3.0181 (2.8060)	Prec@1 27.344 (33.428)	Prec@5 60.938 (63.630)
Epoch: [8][13090/14090]	Time 0.749 (0.763)	Data 0.001 (0.001)	Loss 2.9593 (2.8060)	Prec@1 29.688 (33.428)	Prec@5 60.938 (63.630)
Epoch: [8][13100/14090]	Time 0.755 (0.763)	Data 0.001 (0.001)	Loss 2.9331 (2.8060)	Prec@1 29.688 (33.428)	Prec@5 62.500 (63.629)
Epoch: [8][13110/14090]	Time 0.855 (0.763)	Data 0.001 (0.001)	Loss 2.8712 (2.8061)	Prec@1 39.062 (33.427)	Prec@5 60.938 (63.627)
Epoch: [8][13120/14090]	Time 0.745 (0.763)	Data 0.001 (0.001)	Loss 2.9198 (2.8061)	Prec@1 32.812 (33.427)	Prec@5 59.375 (63.627)
Epoch: [8][13130/14090]	Time 0.751 (0.763)	Data 0.001 (0.001)	Loss 2.8383 (2.8060)	Prec@1 32.812 (33.429)	Prec@5 61.719 (63.629)
Epoch: [8][13140/14090]	Time 0.766 (0.763)	Data 0.001 (0.001)	Loss 2.6262 (2.8060)	Prec@1 29.688 (33.430)	Prec@5 68.750 (63.629)
Epoch: [8][13150/14090]	Time 0.750 (0.763)	Data 0.001 (0.001)	Loss 2.8589 (2.8060)	Prec@1 35.938 (33.431)	Prec@5 67.969 (63.629)
Epoch: [8][13160/14090]	Time 0.755 (0.763)	Data 0.001 (0.001)	Loss 2.8048 (2.8060)	Prec@1 28.906 (33.430)	Prec@5 65.625 (63.630)
Epoch: [8][13170/14090]	Time 0.746 (0.763)	Data 0.001 (0.001)	Loss 2.7967 (2.8060)	Prec@1 32.031 (33.430)	Prec@5 63.281 (63.630)
Epoch: [8][13180/14090]	Time 0.853 (0.763)	Data 0.001 (0.001)	Loss 2.6902 (2.8060)	Prec@1 33.594 (33.429)	Prec@5 67.969 (63.630)
Epoch: [8][13190/14090]	Time 0.775 (0.763)	Data 0.001 (0.001)	Loss 2.9155 (2.8060)	Prec@1 28.125 (33.428)	Prec@5 63.281 (63.629)
Epoch: [8][13200/14090]	Time 0.738 (0.763)	Data 0.001 (0.001)	Loss 2.8622 (2.8060)	Prec@1 32.812 (33.428)	Prec@5 62.500 (63.629)
Epoch: [8][13210/14090]	Time 0.747 (0.763)	Data 0.001 (0.001)	Loss 2.8899 (2.8061)	Prec@1 27.344 (33.427)	Prec@5 60.156 (63.629)
Epoch: [8][13220/14090]	Time 0.742 (0.763)	Data 0.001 (0.001)	Loss 2.5093 (2.8061)	Prec@1 40.625 (33.427)	Prec@5 71.875 (63.629)
Epoch: [8][13230/14090]	Time 0.764 (0.763)	Data 0.001 (0.001)	Loss 2.6094 (2.8061)	Prec@1 39.844 (33.428)	Prec@5 67.188 (63.629)
Epoch: [8][13240/14090]	Time 0.751 (0.763)	Data 0.001 (0.001)	Loss 2.3685 (2.8060)	Prec@1 40.625 (33.429)	Prec@5 71.094 (63.631)
Epoch: [8][13250/14090]	Time 0.894 (0.763)	Data 0.001 (0.001)	Loss 2.9268 (2.8061)	Prec@1 30.469 (33.428)	Prec@5 54.688 (63.629)
Epoch: [8][13260/14090]	Time 0.724 (0.763)	Data 0.001 (0.001)	Loss 3.0872 (2.8061)	Prec@1 32.031 (33.428)	Prec@5 55.469 (63.629)
Epoch: [8][13270/14090]	Time 0.736 (0.763)	Data 0.001 (0.001)	Loss 2.7541 (2.8060)	Prec@1 38.281 (33.429)	Prec@5 64.844 (63.630)
Epoch: [8][13280/14090]	Time 0.741 (0.763)	Data 0.001 (0.001)	Loss 2.7289 (2.8061)	Prec@1 40.625 (33.429)	Prec@5 67.188 (63.629)
Epoch: [8][13290/14090]	Time 0.765 (0.763)	Data 0.001 (0.001)	Loss 2.6946 (2.8060)	Prec@1 42.969 (33.431)	Prec@5 64.844 (63.631)
Epoch: [8][13300/14090]	Time 0.731 (0.763)	Data 0.001 (0.001)	Loss 2.9715 (2.8060)	Prec@1 22.656 (33.430)	Prec@5 64.062 (63.632)
Epoch: [8][13310/14090]	Time 0.770 (0.763)	Data 0.001 (0.001)	Loss 2.5952 (2.8060)	Prec@1 34.375 (33.430)	Prec@5 69.531 (63.632)
Epoch: [8][13320/14090]	Time 0.855 (0.763)	Data 0.001 (0.001)	Loss 2.9252 (2.8060)	Prec@1 34.375 (33.430)	Prec@5 64.062 (63.633)
Epoch: [8][13330/14090]	Time 0.736 (0.763)	Data 0.001 (0.001)	Loss 2.4827 (2.8060)	Prec@1 36.719 (33.431)	Prec@5 67.969 (63.634)
Epoch: [8][13340/14090]	Time 0.726 (0.763)	Data 0.001 (0.001)	Loss 2.6294 (2.8060)	Prec@1 34.375 (33.430)	Prec@5 70.312 (63.634)
Epoch: [8][13350/14090]	Time 0.726 (0.763)	Data 0.002 (0.001)	Loss 2.6886 (2.8059)	Prec@1 37.500 (33.432)	Prec@5 68.750 (63.635)
Epoch: [8][13360/14090]	Time 0.751 (0.763)	Data 0.001 (0.001)	Loss 2.7157 (2.8059)	Prec@1 37.500 (33.432)	Prec@5 64.844 (63.636)
Epoch: [8][13370/14090]	Time 0.754 (0.763)	Data 0.001 (0.001)	Loss 2.6349 (2.8059)	Prec@1 43.750 (33.431)	Prec@5 66.406 (63.636)
Epoch: [8][13380/14090]	Time 0.729 (0.763)	Data 0.001 (0.001)	Loss 2.7943 (2.8059)	Prec@1 31.250 (33.431)	Prec@5 63.281 (63.636)
Epoch: [8][13390/14090]	Time 0.887 (0.763)	Data 0.001 (0.001)	Loss 2.9145 (2.8058)	Prec@1 30.469 (33.430)	Prec@5 64.844 (63.638)
Epoch: [8][13400/14090]	Time 0.752 (0.763)	Data 0.001 (0.001)	Loss 3.0819 (2.8059)	Prec@1 23.438 (33.429)	Prec@5 59.375 (63.636)
Epoch: [8][13410/14090]	Time 0.724 (0.763)	Data 0.001 (0.001)	Loss 2.6310 (2.8059)	Prec@1 37.500 (33.430)	Prec@5 67.188 (63.637)
Epoch: [8][13420/14090]	Time 0.773 (0.763)	Data 0.001 (0.001)	Loss 2.9691 (2.8059)	Prec@1 31.250 (33.429)	Prec@5 57.812 (63.636)
Epoch: [8][13430/14090]	Time 0.736 (0.763)	Data 0.001 (0.001)	Loss 2.8839 (2.8059)	Prec@1 32.812 (33.429)	Prec@5 61.719 (63.636)
Epoch: [8][13440/14090]	Time 0.731 (0.763)	Data 0.001 (0.001)	Loss 2.4502 (2.8058)	Prec@1 39.062 (33.431)	Prec@5 71.094 (63.638)
Epoch: [8][13450/14090]	Time 0.743 (0.763)	Data 0.001 (0.001)	Loss 2.8332 (2.8058)	Prec@1 33.594 (33.432)	Prec@5 64.062 (63.638)
Epoch: [8][13460/14090]	Time 0.867 (0.763)	Data 0.001 (0.001)	Loss 2.5324 (2.8057)	Prec@1 40.625 (33.433)	Prec@5 69.531 (63.639)
Epoch: [8][13470/14090]	Time 0.732 (0.763)	Data 0.001 (0.001)	Loss 2.8738 (2.8058)	Prec@1 31.250 (33.433)	Prec@5 59.375 (63.638)
Epoch: [8][13480/14090]	Time 0.726 (0.763)	Data 0.001 (0.001)	Loss 2.9817 (2.8058)	Prec@1 35.156 (33.432)	Prec@5 67.969 (63.637)
Epoch: [8][13490/14090]	Time 0.757 (0.763)	Data 0.001 (0.001)	Loss 3.1147 (2.8058)	Prec@1 31.250 (33.432)	Prec@5 60.938 (63.636)
Epoch: [8][13500/14090]	Time 0.762 (0.763)	Data 0.001 (0.001)	Loss 2.6396 (2.8057)	Prec@1 42.188 (33.434)	Prec@5 63.281 (63.637)
Epoch: [8][13510/14090]	Time 0.741 (0.763)	Data 0.001 (0.001)	Loss 2.4615 (2.8057)	Prec@1 42.188 (33.437)	Prec@5 72.656 (63.638)
Epoch: [8][13520/14090]	Time 0.730 (0.763)	Data 0.001 (0.001)	Loss 3.0310 (2.8057)	Prec@1 35.156 (33.438)	Prec@5 63.281 (63.638)
Epoch: [8][13530/14090]	Time 0.829 (0.763)	Data 0.001 (0.001)	Loss 2.8962 (2.8056)	Prec@1 32.031 (33.438)	Prec@5 60.938 (63.640)
Epoch: [8][13540/14090]	Time 0.755 (0.763)	Data 0.001 (0.001)	Loss 2.7172 (2.8056)	Prec@1 35.938 (33.438)	Prec@5 64.062 (63.640)
Epoch: [8][13550/14090]	Time 0.753 (0.763)	Data 0.001 (0.001)	Loss 3.1750 (2.8057)	Prec@1 28.125 (33.438)	Prec@5 56.250 (63.638)
Epoch: [8][13560/14090]	Time 0.740 (0.763)	Data 0.001 (0.001)	Loss 2.6734 (2.8057)	Prec@1 31.250 (33.437)	Prec@5 65.625 (63.638)
Epoch: [8][13570/14090]	Time 0.724 (0.763)	Data 0.001 (0.001)	Loss 3.1118 (2.8058)	Prec@1 28.125 (33.437)	Prec@5 60.156 (63.637)
Epoch: [8][13580/14090]	Time 0.733 (0.763)	Data 0.001 (0.001)	Loss 2.9010 (2.8057)	Prec@1 33.594 (33.438)	Prec@5 59.375 (63.637)
Epoch: [8][13590/14090]	Time 0.728 (0.763)	Data 0.001 (0.001)	Loss 2.6180 (2.8057)	Prec@1 38.281 (33.439)	Prec@5 71.094 (63.639)
Epoch: [8][13600/14090]	Time 0.860 (0.763)	Data 0.001 (0.001)	Loss 2.4959 (2.8057)	Prec@1 38.281 (33.438)	Prec@5 67.188 (63.638)
Epoch: [8][13610/14090]	Time 0.750 (0.763)	Data 0.001 (0.001)	Loss 2.5657 (2.8057)	Prec@1 40.625 (33.438)	Prec@5 68.750 (63.638)
Epoch: [8][13620/14090]	Time 0.742 (0.763)	Data 0.001 (0.001)	Loss 2.8793 (2.8058)	Prec@1 30.469 (33.437)	Prec@5 61.719 (63.638)
Epoch: [8][13630/14090]	Time 0.751 (0.763)	Data 0.001 (0.001)	Loss 2.9282 (2.8058)	Prec@1 31.250 (33.437)	Prec@5 61.719 (63.638)
Epoch: [8][13640/14090]	Time 0.744 (0.763)	Data 0.001 (0.001)	Loss 3.0851 (2.8058)	Prec@1 28.125 (33.437)	Prec@5 59.375 (63.636)
Epoch: [8][13650/14090]	Time 0.755 (0.763)	Data 0.001 (0.001)	Loss 2.9893 (2.8058)	Prec@1 35.938 (33.438)	Prec@5 60.938 (63.638)
Epoch: [8][13660/14090]	Time 0.758 (0.763)	Data 0.001 (0.001)	Loss 2.9928 (2.8058)	Prec@1 31.250 (33.438)	Prec@5 57.031 (63.638)
Epoch: [8][13670/14090]	Time 0.855 (0.763)	Data 0.001 (0.001)	Loss 2.7076 (2.8058)	Prec@1 25.781 (33.437)	Prec@5 68.750 (63.637)
Epoch: [8][13680/14090]	Time 0.743 (0.763)	Data 0.001 (0.001)	Loss 2.8706 (2.8058)	Prec@1 32.031 (33.437)	Prec@5 60.938 (63.637)
Epoch: [8][13690/14090]	Time 0.730 (0.763)	Data 0.001 (0.001)	Loss 2.7176 (2.8058)	Prec@1 32.031 (33.438)	Prec@5 60.156 (63.638)
Epoch: [8][13700/14090]	Time 0.740 (0.763)	Data 0.001 (0.001)	Loss 2.6493 (2.8057)	Prec@1 35.156 (33.440)	Prec@5 68.750 (63.640)
Epoch: [8][13710/14090]	Time 0.758 (0.763)	Data 0.001 (0.001)	Loss 2.7639 (2.8058)	Prec@1 39.062 (33.439)	Prec@5 60.156 (63.639)
Epoch: [8][13720/14090]	Time 0.758 (0.763)	Data 0.001 (0.001)	Loss 2.8063 (2.8058)	Prec@1 35.156 (33.439)	Prec@5 69.531 (63.638)
Epoch: [8][13730/14090]	Time 0.725 (0.763)	Data 0.001 (0.001)	Loss 2.7747 (2.8058)	Prec@1 29.688 (33.439)	Prec@5 62.500 (63.638)
Epoch: [8][13740/14090]	Time 0.814 (0.763)	Data 0.001 (0.001)	Loss 2.7670 (2.8058)	Prec@1 32.031 (33.440)	Prec@5 65.625 (63.639)
Epoch: [8][13750/14090]	Time 0.755 (0.763)	Data 0.001 (0.001)	Loss 2.6401 (2.8058)	Prec@1 31.250 (33.439)	Prec@5 65.625 (63.638)
Epoch: [8][13760/14090]	Time 0.735 (0.763)	Data 0.001 (0.001)	Loss 2.9001 (2.8059)	Prec@1 35.938 (33.438)	Prec@5 58.594 (63.637)
Epoch: [8][13770/14090]	Time 0.746 (0.763)	Data 0.001 (0.001)	Loss 2.5680 (2.8058)	Prec@1 34.375 (33.438)	Prec@5 71.094 (63.638)
Epoch: [8][13780/14090]	Time 0.743 (0.763)	Data 0.001 (0.001)	Loss 2.8642 (2.8058)	Prec@1 35.938 (33.440)	Prec@5 69.531 (63.639)
Epoch: [8][13790/14090]	Time 0.737 (0.763)	Data 0.001 (0.001)	Loss 2.7722 (2.8058)	Prec@1 39.844 (33.440)	Prec@5 63.281 (63.639)
Epoch: [8][13800/14090]	Time 0.744 (0.763)	Data 0.001 (0.001)	Loss 2.9413 (2.8059)	Prec@1 31.250 (33.438)	Prec@5 59.375 (63.639)
Epoch: [8][13810/14090]	Time 0.861 (0.763)	Data 0.001 (0.001)	Loss 3.2180 (2.8060)	Prec@1 29.688 (33.436)	Prec@5 57.031 (63.637)
Epoch: [8][13820/14090]	Time 0.741 (0.763)	Data 0.001 (0.001)	Loss 2.8685 (2.8061)	Prec@1 26.562 (33.434)	Prec@5 61.719 (63.635)
Epoch: [8][13830/14090]	Time 0.761 (0.763)	Data 0.001 (0.001)	Loss 2.7732 (2.8061)	Prec@1 34.375 (33.434)	Prec@5 65.625 (63.635)
Epoch: [8][13840/14090]	Time 0.738 (0.763)	Data 0.001 (0.001)	Loss 2.6306 (2.8060)	Prec@1 38.281 (33.436)	Prec@5 65.625 (63.636)
Epoch: [8][13850/14090]	Time 0.741 (0.763)	Data 0.001 (0.001)	Loss 2.7689 (2.8060)	Prec@1 32.812 (33.435)	Prec@5 63.281 (63.635)
Epoch: [8][13860/14090]	Time 0.755 (0.763)	Data 0.001 (0.001)	Loss 2.9903 (2.8061)	Prec@1 33.594 (33.435)	Prec@5 62.500 (63.634)
Epoch: [8][13870/14090]	Time 0.753 (0.763)	Data 0.001 (0.001)	Loss 2.9744 (2.8061)	Prec@1 27.344 (33.435)	Prec@5 57.812 (63.635)
Epoch: [8][13880/14090]	Time 0.854 (0.763)	Data 0.001 (0.001)	Loss 2.4588 (2.8060)	Prec@1 39.062 (33.436)	Prec@5 68.750 (63.635)
Epoch: [8][13890/14090]	Time 0.733 (0.763)	Data 0.001 (0.001)	Loss 2.8732 (2.8060)	Prec@1 31.250 (33.435)	Prec@5 59.375 (63.635)
Epoch: [8][13900/14090]	Time 0.750 (0.763)	Data 0.001 (0.001)	Loss 2.6092 (2.8061)	Prec@1 38.281 (33.433)	Prec@5 65.625 (63.635)
Epoch: [8][13910/14090]	Time 0.749 (0.763)	Data 0.000 (0.001)	Loss 2.5599 (2.8060)	Prec@1 39.062 (33.435)	Prec@5 64.844 (63.635)
Epoch: [8][13920/14090]	Time 0.752 (0.763)	Data 0.001 (0.001)	Loss 2.8974 (2.8060)	Prec@1 28.906 (33.435)	Prec@5 61.719 (63.636)
Epoch: [8][13930/14090]	Time 0.739 (0.763)	Data 0.001 (0.001)	Loss 2.6281 (2.8060)	Prec@1 35.156 (33.434)	Prec@5 65.625 (63.634)
Epoch: [8][13940/14090]	Time 0.756 (0.763)	Data 0.001 (0.001)	Loss 2.9179 (2.8061)	Prec@1 26.562 (33.433)	Prec@5 59.375 (63.632)
Epoch: [8][13950/14090]	Time 0.854 (0.763)	Data 0.001 (0.001)	Loss 2.5784 (2.8060)	Prec@1 40.625 (33.434)	Prec@5 66.406 (63.633)
Epoch: [8][13960/14090]	Time 0.769 (0.763)	Data 0.001 (0.001)	Loss 2.7759 (2.8060)	Prec@1 29.688 (33.432)	Prec@5 65.625 (63.634)
Epoch: [8][13970/14090]	Time 0.773 (0.763)	Data 0.001 (0.001)	Loss 2.9013 (2.8060)	Prec@1 35.156 (33.435)	Prec@5 60.938 (63.635)
Epoch: [8][13980/14090]	Time 0.736 (0.763)	Data 0.001 (0.001)	Loss 2.7451 (2.8059)	Prec@1 37.500 (33.436)	Prec@5 67.969 (63.636)
Epoch: [8][13990/14090]	Time 0.754 (0.763)	Data 0.001 (0.001)	Loss 2.9336 (2.8059)	Prec@1 32.812 (33.436)	Prec@5 60.156 (63.636)
Epoch: [8][14000/14090]	Time 0.745 (0.763)	Data 0.001 (0.001)	Loss 2.7013 (2.8059)	Prec@1 38.281 (33.436)	Prec@5 71.094 (63.636)
Epoch: [8][14010/14090]	Time 0.748 (0.763)	Data 0.001 (0.001)	Loss 2.6249 (2.8059)	Prec@1 37.500 (33.435)	Prec@5 70.312 (63.635)
Epoch: [8][14020/14090]	Time 0.850 (0.763)	Data 0.001 (0.001)	Loss 2.7490 (2.8060)	Prec@1 33.594 (33.436)	Prec@5 66.406 (63.635)
Epoch: [8][14030/14090]	Time 0.774 (0.763)	Data 0.001 (0.001)	Loss 2.9549 (2.8060)	Prec@1 32.031 (33.436)	Prec@5 58.594 (63.635)
Epoch: [8][14040/14090]	Time 0.760 (0.763)	Data 0.001 (0.001)	Loss 3.0881 (2.8060)	Prec@1 30.469 (33.436)	Prec@5 57.812 (63.634)
Epoch: [8][14050/14090]	Time 0.731 (0.763)	Data 0.001 (0.001)	Loss 3.0041 (2.8059)	Prec@1 27.344 (33.437)	Prec@5 60.156 (63.634)
Epoch: [8][14060/14090]	Time 0.755 (0.763)	Data 0.001 (0.001)	Loss 2.8915 (2.8060)	Prec@1 31.250 (33.437)	Prec@5 64.844 (63.634)
Epoch: [8][14070/14090]	Time 0.755 (0.763)	Data 0.001 (0.001)	Loss 2.5734 (2.8059)	Prec@1 40.625 (33.440)	Prec@5 69.531 (63.637)
Epoch: [8][14080/14090]	Time 0.737 (0.763)	Data 0.000 (0.001)	Loss 2.6053 (2.8058)	Prec@1 36.719 (33.441)	Prec@5 67.188 (63.638)
Test: [0/286]	Time 3.305 (3.305)	Loss 1.9745 (1.9745)	Prec@1 30.469 (30.469)	Prec@5 91.406 (91.406)
Test: [10/286]	Time 0.231 (0.526)	Loss 2.4056 (2.6535)	Prec@1 35.938 (34.233)	Prec@5 78.906 (71.378)
Test: [20/286]	Time 0.228 (0.392)	Loss 1.7995 (2.5164)	Prec@1 55.469 (36.905)	Prec@5 84.375 (72.545)
Test: [30/286]	Time 0.237 (0.345)	Loss 2.7845 (2.3169)	Prec@1 24.219 (41.557)	Prec@5 62.500 (74.572)
Test: [40/286]	Time 0.257 (0.321)	Loss 2.2657 (2.3908)	Prec@1 31.250 (39.710)	Prec@5 81.250 (72.847)
Test: [50/286]	Time 0.234 (0.309)	Loss 1.0503 (2.4173)	Prec@1 77.344 (39.231)	Prec@5 87.500 (72.289)
Test: [60/286]	Time 0.238 (0.300)	Loss 3.6776 (2.4599)	Prec@1 20.312 (38.973)	Prec@5 50.000 (71.235)
Test: [70/286]	Time 0.256 (0.293)	Loss 2.1436 (2.4423)	Prec@1 45.312 (39.415)	Prec@5 79.688 (71.567)
Test: [80/286]	Time 0.229 (0.287)	Loss 2.8734 (2.4975)	Prec@1 28.906 (38.088)	Prec@5 60.156 (70.409)
Test: [90/286]	Time 0.252 (0.283)	Loss 2.4220 (2.4938)	Prec@1 35.156 (37.998)	Prec@5 73.438 (70.682)
Test: [100/286]	Time 0.237 (0.280)	Loss 3.0257 (2.4835)	Prec@1 25.781 (38.096)	Prec@5 62.500 (71.047)
Test: [110/286]	Time 0.243 (0.278)	Loss 2.5281 (2.4806)	Prec@1 34.375 (37.950)	Prec@5 67.188 (71.284)
Test: [120/286]	Time 0.242 (0.275)	Loss 2.4193 (2.4582)	Prec@1 48.438 (38.765)	Prec@5 70.312 (71.765)
Test: [130/286]	Time 0.242 (0.273)	Loss 2.4014 (2.4448)	Prec@1 36.719 (39.116)	Prec@5 69.531 (71.863)
Test: [140/286]	Time 0.243 (0.271)	Loss 2.7332 (2.4332)	Prec@1 43.750 (39.484)	Prec@5 67.969 (72.102)
Test: [150/286]	Time 0.234 (0.271)	Loss 3.3242 (2.4329)	Prec@1 22.656 (39.228)	Prec@5 53.906 (72.216)
Test: [160/286]	Time 0.237 (0.269)	Loss 2.9118 (2.4205)	Prec@1 25.781 (39.509)	Prec@5 60.156 (72.389)
Test: [170/286]	Time 0.239 (0.268)	Loss 2.5129 (2.4199)	Prec@1 28.906 (39.474)	Prec@5 74.219 (72.432)
Test: [180/286]	Time 0.262 (0.267)	Loss 2.6385 (2.4393)	Prec@1 35.938 (39.110)	Prec@5 65.625 (72.017)
Test: [190/286]	Time 0.272 (0.267)	Loss 3.7617 (2.4688)	Prec@1 5.469 (38.429)	Prec@5 47.656 (71.421)
Test: [200/286]	Time 0.238 (0.266)	Loss 1.7430 (2.4667)	Prec@1 60.938 (38.635)	Prec@5 88.281 (71.420)
Test: [210/286]	Time 0.239 (0.265)	Loss 3.0962 (2.4740)	Prec@1 21.875 (38.448)	Prec@5 67.969 (71.294)
Test: [220/286]	Time 0.238 (0.265)	Loss 4.3204 (2.4861)	Prec@1 9.375 (38.334)	Prec@5 24.219 (70.921)
Test: [230/286]	Time 0.267 (0.264)	Loss 1.0288 (2.4788)	Prec@1 76.562 (38.619)	Prec@5 92.188 (71.019)
Test: [240/286]	Time 0.305 (0.264)	Loss 2.9421 (2.4712)	Prec@1 21.875 (38.719)	Prec@5 64.062 (71.207)
Test: [250/286]	Time 0.251 (0.263)	Loss 2.4129 (2.4640)	Prec@1 35.938 (38.739)	Prec@5 69.531 (71.477)
Test: [260/286]	Time 0.225 (0.263)	Loss 2.3867 (2.4547)	Prec@1 42.188 (38.898)	Prec@5 71.094 (71.624)
Test: [270/286]	Time 0.265 (0.263)	Loss 2.0926 (2.4469)	Prec@1 42.969 (39.068)	Prec@5 85.156 (71.794)
Test: [280/286]	Time 0.242 (0.262)	Loss 2.0659 (2.4285)	Prec@1 50.781 (39.552)	Prec@5 78.125 (72.084)
 * Prec@1 39.634 Prec@5 72.074
Epoch: [9][0/14090]	Time 4.376 (4.376)	Data 3.598 (3.598)	Loss 2.7476 (2.7476)	Prec@1 37.500 (37.500)	Prec@5 65.625 (65.625)
Epoch: [9][10/14090]	Time 0.721 (1.067)	Data 0.001 (0.328)	Loss 2.8745 (2.7136)	Prec@1 32.812 (35.938)	Prec@5 60.938 (65.412)
Epoch: [9][20/14090]	Time 0.726 (0.919)	Data 0.001 (0.172)	Loss 2.6357 (2.7169)	Prec@1 35.156 (35.231)	Prec@5 68.750 (64.993)
Epoch: [9][30/14090]	Time 0.760 (0.865)	Data 0.001 (0.117)	Loss 2.6886 (2.7084)	Prec@1 39.062 (35.005)	Prec@5 61.719 (64.995)
Epoch: [9][40/14090]	Time 0.755 (0.840)	Data 0.001 (0.089)	Loss 2.3637 (2.7180)	Prec@1 38.281 (34.127)	Prec@5 74.219 (64.977)
Epoch: [9][50/14090]	Time 0.752 (0.824)	Data 0.001 (0.071)	Loss 2.7686 (2.7303)	Prec@1 38.281 (34.421)	Prec@5 64.062 (64.675)
Epoch: [9][60/14090]	Time 1.089 (0.821)	Data 0.001 (0.060)	Loss 2.7810 (2.7292)	Prec@1 30.469 (34.580)	Prec@5 60.156 (64.626)
Epoch: [9][70/14090]	Time 0.741 (0.813)	Data 0.001 (0.052)	Loss 2.9828 (2.7367)	Prec@1 31.250 (34.639)	Prec@5 59.375 (64.613)
Epoch: [9][80/14090]	Time 0.773 (0.807)	Data 0.001 (0.045)	Loss 2.9589 (2.7591)	Prec@1 35.156 (34.423)	Prec@5 62.500 (64.304)
Epoch: [9][90/14090]	Time 0.733 (0.803)	Data 0.001 (0.040)	Loss 2.8514 (2.7681)	Prec@1 35.156 (34.238)	Prec@5 60.156 (64.183)
Epoch: [9][100/14090]	Time 0.780 (0.799)	Data 0.001 (0.037)	Loss 2.8125 (2.7760)	Prec@1 28.906 (33.981)	Prec@5 62.500 (64.008)
Epoch: [9][110/14090]	Time 0.765 (0.797)	Data 0.001 (0.033)	Loss 2.7376 (2.7733)	Prec@1 34.375 (34.009)	Prec@5 64.062 (64.140)
Epoch: [9][120/14090]	Time 0.735 (0.794)	Data 0.001 (0.031)	Loss 2.8140 (2.7669)	Prec@1 33.594 (34.214)	Prec@5 67.969 (64.282)
Epoch: [9][130/14090]	Time 0.851 (0.793)	Data 0.001 (0.028)	Loss 2.5936 (2.7603)	Prec@1 41.406 (34.393)	Prec@5 69.531 (64.456)
Epoch: [9][140/14090]	Time 0.758 (0.791)	Data 0.001 (0.026)	Loss 2.6722 (2.7638)	Prec@1 40.625 (34.297)	Prec@5 67.969 (64.389)
Epoch: [9][150/14090]	Time 0.759 (0.789)	Data 0.001 (0.025)	Loss 2.8205 (2.7661)	Prec@1 35.938 (34.251)	Prec@5 67.969 (64.357)
Epoch: [9][160/14090]	Time 0.761 (0.788)	Data 0.001 (0.023)	Loss 2.9720 (2.7707)	Prec@1 28.125 (34.074)	Prec@5 61.719 (64.295)
Epoch: [9][170/14090]	Time 0.727 (0.786)	Data 0.001 (0.022)	Loss 2.9529 (2.7702)	Prec@1 35.156 (34.101)	Prec@5 58.594 (64.309)
Epoch: [9][180/14090]	Time 0.733 (0.786)	Data 0.001 (0.021)	Loss 2.5987 (2.7666)	Prec@1 38.281 (34.181)	Prec@5 64.062 (64.395)
Epoch: [9][190/14090]	Time 0.767 (0.785)	Data 0.001 (0.020)	Loss 2.8358 (2.7670)	Prec@1 37.500 (34.175)	Prec@5 58.594 (64.308)
Epoch: [9][200/14090]	Time 0.852 (0.784)	Data 0.001 (0.019)	Loss 2.5620 (2.7697)	Prec@1 39.062 (34.138)	Prec@5 66.406 (64.253)
Epoch: [9][210/14090]	Time 0.777 (0.783)	Data 0.001 (0.018)	Loss 2.9287 (2.7695)	Prec@1 31.250 (34.175)	Prec@5 64.062 (64.281)
Epoch: [9][220/14090]	Time 0.751 (0.782)	Data 0.001 (0.017)	Loss 2.7920 (2.7691)	Prec@1 31.250 (34.184)	Prec@5 64.062 (64.250)
Epoch: [9][230/14090]	Time 0.753 (0.782)	Data 0.001 (0.016)	Loss 2.9808 (2.7695)	Prec@1 29.688 (34.138)	Prec@5 53.125 (64.208)
Epoch: [9][240/14090]	Time 0.751 (0.781)	Data 0.001 (0.016)	Loss 2.6534 (2.7674)	Prec@1 36.719 (34.119)	Prec@5 66.406 (64.257)
Epoch: [9][250/14090]	Time 0.759 (0.781)	Data 0.001 (0.015)	Loss 2.8808 (2.7703)	Prec@1 35.938 (34.070)	Prec@5 61.719 (64.227)
Epoch: [9][260/14090]	Time 0.761 (0.780)	Data 0.001 (0.015)	Loss 2.7200 (2.7719)	Prec@1 35.938 (34.025)	Prec@5 64.844 (64.167)
Epoch: [9][270/14090]	Time 0.833 (0.780)	Data 0.001 (0.014)	Loss 2.5672 (2.7673)	Prec@1 42.969 (34.116)	Prec@5 69.531 (64.233)
Epoch: [9][280/14090]	Time 0.761 (0.779)	Data 0.001 (0.014)	Loss 2.8346 (2.7687)	Prec@1 37.500 (34.114)	Prec@5 60.156 (64.238)
Epoch: [9][290/14090]	Time 0.755 (0.778)	Data 0.001 (0.013)	Loss 2.7754 (2.7700)	Prec@1 35.938 (34.088)	Prec@5 60.938 (64.221)
Epoch: [9][300/14090]	Time 0.763 (0.778)	Data 0.001 (0.013)	Loss 3.0589 (2.7730)	Prec@1 29.688 (34.012)	Prec@5 61.719 (64.210)
Epoch: [9][310/14090]	Time 0.765 (0.778)	Data 0.001 (0.012)	Loss 2.5165 (2.7714)	Prec@1 37.500 (34.033)	Prec@5 71.094 (64.286)
Epoch: [9][320/14090]	Time 0.755 (0.777)	Data 0.001 (0.012)	Loss 2.9459 (2.7757)	Prec@1 35.156 (33.986)	Prec@5 60.156 (64.199)
Epoch: [9][330/14090]	Time 0.760 (0.777)	Data 0.001 (0.012)	Loss 2.8340 (2.7751)	Prec@1 31.250 (33.990)	Prec@5 60.938 (64.192)
Epoch: [9][340/14090]	Time 0.865 (0.777)	Data 0.001 (0.011)	Loss 2.9442 (2.7757)	Prec@1 28.125 (33.935)	Prec@5 58.594 (64.168)
Epoch: [9][350/14090]	Time 0.752 (0.777)	Data 0.001 (0.011)	Loss 2.6597 (2.7738)	Prec@1 36.719 (33.941)	Prec@5 65.625 (64.207)
Epoch: [9][360/14090]	Time 0.756 (0.776)	Data 0.001 (0.011)	Loss 2.6919 (2.7746)	Prec@1 32.031 (33.931)	Prec@5 66.406 (64.188)
Epoch: [9][370/14090]	Time 0.758 (0.776)	Data 0.001 (0.011)	Loss 2.6935 (2.7764)	Prec@1 37.500 (33.878)	Prec@5 60.156 (64.111)
Epoch: [9][380/14090]	Time 0.763 (0.776)	Data 0.001 (0.010)	Loss 2.7999 (2.7740)	Prec@1 38.281 (33.930)	Prec@5 64.062 (64.167)
Epoch: [9][390/14090]	Time 0.764 (0.776)	Data 0.001 (0.010)	Loss 2.8244 (2.7734)	Prec@1 39.844 (33.905)	Prec@5 63.281 (64.148)
Epoch: [9][400/14090]	Time 0.745 (0.775)	Data 0.001 (0.010)	Loss 2.7097 (2.7743)	Prec@1 41.406 (33.868)	Prec@5 63.281 (64.142)
Epoch: [9][410/14090]	Time 0.862 (0.775)	Data 0.001 (0.010)	Loss 3.0674 (2.7749)	Prec@1 28.125 (33.850)	Prec@5 57.812 (64.163)
Epoch: [9][420/14090]	Time 0.735 (0.775)	Data 0.001 (0.009)	Loss 2.6708 (2.7764)	Prec@1 38.281 (33.811)	Prec@5 63.281 (64.109)
Epoch: [9][430/14090]	Time 0.741 (0.774)	Data 0.001 (0.009)	Loss 2.9902 (2.7765)	Prec@1 24.219 (33.819)	Prec@5 58.594 (64.113)
Epoch: [9][440/14090]	Time 0.761 (0.775)	Data 0.002 (0.009)	Loss 2.7491 (2.7755)	Prec@1 31.250 (33.803)	Prec@5 64.844 (64.109)
Epoch: [9][450/14090]	Time 0.773 (0.774)	Data 0.001 (0.009)	Loss 2.7332 (2.7737)	Prec@1 37.500 (33.847)	Prec@5 67.969 (64.170)
Epoch: [9][460/14090]	Time 0.758 (0.774)	Data 0.001 (0.009)	Loss 2.7071 (2.7738)	Prec@1 38.281 (33.831)	Prec@5 62.500 (64.168)
Epoch: [9][470/14090]	Time 0.748 (0.774)	Data 0.001 (0.008)	Loss 2.7745 (2.7753)	Prec@1 37.500 (33.794)	Prec@5 64.844 (64.142)
Epoch: [9][480/14090]	Time 0.839 (0.774)	Data 0.001 (0.008)	Loss 2.9426 (2.7758)	Prec@1 29.688 (33.795)	Prec@5 59.375 (64.121)
Epoch: [9][490/14090]	Time 0.757 (0.774)	Data 0.001 (0.008)	Loss 2.6942 (2.7753)	Prec@1 32.031 (33.812)	Prec@5 62.500 (64.134)
Epoch: [9][500/14090]	Time 0.758 (0.773)	Data 0.001 (0.008)	Loss 2.5106 (2.7738)	Prec@1 36.719 (33.857)	Prec@5 67.969 (64.181)
Epoch: [9][510/14090]	Time 0.758 (0.774)	Data 0.001 (0.008)	Loss 2.9289 (2.7746)	Prec@1 30.469 (33.840)	Prec@5 61.719 (64.142)
Epoch: [9][520/14090]	Time 0.727 (0.773)	Data 0.001 (0.008)	Loss 2.6270 (2.7745)	Prec@1 36.719 (33.862)	Prec@5 67.969 (64.151)
Epoch: [9][530/14090]	Time 0.755 (0.773)	Data 0.001 (0.008)	Loss 2.6165 (2.7735)	Prec@1 33.594 (33.887)	Prec@5 66.406 (64.149)
Epoch: [9][540/14090]	Time 0.744 (0.773)	Data 0.001 (0.008)	Loss 2.8004 (2.7758)	Prec@1 28.125 (33.825)	Prec@5 61.719 (64.107)
Epoch: [9][550/14090]	Time 0.867 (0.773)	Data 0.001 (0.007)	Loss 2.6608 (2.7774)	Prec@1 34.375 (33.789)	Prec@5 67.969 (64.081)
Epoch: [9][560/14090]	Time 0.726 (0.773)	Data 0.001 (0.007)	Loss 2.9337 (2.7774)	Prec@1 30.469 (33.779)	Prec@5 56.250 (64.076)
Epoch: [9][570/14090]	Time 0.739 (0.773)	Data 0.001 (0.007)	Loss 2.7985 (2.7763)	Prec@1 32.031 (33.796)	Prec@5 66.406 (64.095)
Epoch: [9][580/14090]	Time 0.754 (0.773)	Data 0.002 (0.007)	Loss 2.8388 (2.7772)	Prec@1 31.250 (33.790)	Prec@5 66.406 (64.083)
Epoch: [9][590/14090]	Time 0.774 (0.773)	Data 0.001 (0.007)	Loss 2.6606 (2.7759)	Prec@1 39.062 (33.816)	Prec@5 64.844 (64.118)
Epoch: [9][600/14090]	Time 0.755 (0.773)	Data 0.001 (0.007)	Loss 2.7440 (2.7757)	Prec@1 32.812 (33.843)	Prec@5 64.844 (64.137)
Epoch: [9][610/14090]	Time 0.757 (0.773)	Data 0.001 (0.007)	Loss 2.7186 (2.7744)	Prec@1 34.375 (33.858)	Prec@5 69.531 (64.175)
Epoch: [9][620/14090]	Time 0.882 (0.773)	Data 0.001 (0.007)	Loss 3.0012 (2.7746)	Prec@1 24.219 (33.854)	Prec@5 60.938 (64.188)
Epoch: [9][630/14090]	Time 0.757 (0.773)	Data 0.001 (0.007)	Loss 2.8946 (2.7759)	Prec@1 34.375 (33.836)	Prec@5 63.281 (64.163)
Epoch: [9][640/14090]	Time 0.735 (0.772)	Data 0.001 (0.006)	Loss 2.8426 (2.7766)	Prec@1 32.031 (33.830)	Prec@5 64.062 (64.150)
Epoch: [9][650/14090]	Time 0.750 (0.772)	Data 0.001 (0.006)	Loss 3.1406 (2.7779)	Prec@1 29.688 (33.815)	Prec@5 55.469 (64.137)
Epoch: [9][660/14090]	Time 0.744 (0.772)	Data 0.001 (0.006)	Loss 2.8066 (2.7783)	Prec@1 36.719 (33.821)	Prec@5 64.844 (64.143)
Epoch: [9][670/14090]	Time 0.766 (0.772)	Data 0.001 (0.006)	Loss 2.9575 (2.7789)	Prec@1 28.906 (33.788)	Prec@5 60.156 (64.125)
Epoch: [9][680/14090]	Time 0.742 (0.772)	Data 0.001 (0.006)	Loss 2.5869 (2.7802)	Prec@1 34.375 (33.766)	Prec@5 70.312 (64.108)
Epoch: [9][690/14090]	Time 0.805 (0.772)	Data 0.001 (0.006)	Loss 2.6851 (2.7813)	Prec@1 36.719 (33.767)	Prec@5 66.406 (64.072)
Epoch: [9][700/14090]	Time 0.739 (0.772)	Data 0.001 (0.006)	Loss 2.6228 (2.7808)	Prec@1 35.156 (33.778)	Prec@5 67.188 (64.080)
Epoch: [9][710/14090]	Time 0.749 (0.772)	Data 0.001 (0.006)	Loss 2.7714 (2.7815)	Prec@1 37.500 (33.782)	Prec@5 63.281 (64.072)
Epoch: [9][720/14090]	Time 0.758 (0.772)	Data 0.001 (0.006)	Loss 2.7862 (2.7813)	Prec@1 35.938 (33.793)	Prec@5 60.156 (64.080)
Epoch: [9][730/14090]	Time 0.758 (0.772)	Data 0.001 (0.006)	Loss 2.6353 (2.7812)	Prec@1 38.281 (33.798)	Prec@5 65.625 (64.076)
Epoch: [9][740/14090]	Time 0.759 (0.772)	Data 0.001 (0.006)	Loss 2.9145 (2.7822)	Prec@1 22.656 (33.794)	Prec@5 62.500 (64.068)
Epoch: [9][750/14090]	Time 0.737 (0.772)	Data 0.001 (0.006)	Loss 2.8644 (2.7818)	Prec@1 33.594 (33.801)	Prec@5 62.500 (64.078)
Epoch: [9][760/14090]	Time 0.890 (0.772)	Data 0.001 (0.006)	Loss 2.5904 (2.7814)	Prec@1 35.938 (33.820)	Prec@5 61.719 (64.093)
Epoch: [9][770/14090]	Time 0.733 (0.771)	Data 0.001 (0.006)	Loss 2.7992 (2.7817)	Prec@1 29.688 (33.779)	Prec@5 67.188 (64.091)
Epoch: [9][780/14090]	Time 0.758 (0.771)	Data 0.001 (0.005)	Loss 3.1367 (2.7814)	Prec@1 25.781 (33.779)	Prec@5 57.812 (64.128)
Epoch: [9][790/14090]	Time 0.730 (0.771)	Data 0.001 (0.005)	Loss 2.7705 (2.7808)	Prec@1 28.906 (33.790)	Prec@5 60.156 (64.153)
Epoch: [9][800/14090]	Time 0.734 (0.771)	Data 0.001 (0.005)	Loss 2.8001 (2.7807)	Prec@1 29.688 (33.773)	Prec@5 66.406 (64.164)
Epoch: [9][810/14090]	Time 0.757 (0.771)	Data 0.001 (0.005)	Loss 2.9203 (2.7813)	Prec@1 31.250 (33.751)	Prec@5 64.844 (64.150)
Epoch: [9][820/14090]	Time 0.781 (0.771)	Data 0.001 (0.005)	Loss 2.6764 (2.7816)	Prec@1 38.281 (33.731)	Prec@5 62.500 (64.146)
Epoch: [9][830/14090]	Time 0.855 (0.771)	Data 0.001 (0.005)	Loss 2.8991 (2.7811)	Prec@1 32.812 (33.742)	Prec@5 64.844 (64.150)
Epoch: [9][840/14090]	Time 0.743 (0.771)	Data 0.001 (0.005)	Loss 2.7606 (2.7810)	Prec@1 36.719 (33.754)	Prec@5 66.406 (64.164)
Epoch: [9][850/14090]	Time 0.773 (0.771)	Data 0.001 (0.005)	Loss 2.6985 (2.7818)	Prec@1 40.625 (33.735)	Prec@5 65.625 (64.130)
Epoch: [9][860/14090]	Time 0.753 (0.771)	Data 0.001 (0.005)	Loss 2.9300 (2.7812)	Prec@1 21.875 (33.737)	Prec@5 63.281 (64.139)
Epoch: [9][870/14090]	Time 0.751 (0.771)	Data 0.001 (0.005)	Loss 2.6888 (2.7808)	Prec@1 35.938 (33.745)	Prec@5 64.844 (64.140)
Epoch: [9][880/14090]	Time 0.752 (0.771)	Data 0.003 (0.005)	Loss 2.7875 (2.7815)	Prec@1 35.938 (33.721)	Prec@5 61.719 (64.155)
Epoch: [9][890/14090]	Time 0.746 (0.771)	Data 0.001 (0.005)	Loss 2.6547 (2.7810)	Prec@1 34.375 (33.714)	Prec@5 64.062 (64.152)
Epoch: [9][900/14090]	Time 0.887 (0.771)	Data 0.001 (0.005)	Loss 2.5976 (2.7807)	Prec@1 35.156 (33.729)	Prec@5 62.500 (64.154)
Epoch: [9][910/14090]	Time 0.744 (0.771)	Data 0.001 (0.005)	Loss 2.7938 (2.7804)	Prec@1 32.812 (33.716)	Prec@5 60.938 (64.155)
Epoch: [9][920/14090]	Time 0.749 (0.770)	Data 0.001 (0.005)	Loss 2.8191 (2.7819)	Prec@1 30.469 (33.695)	Prec@5 64.844 (64.144)
Epoch: [9][930/14090]	Time 0.727 (0.770)	Data 0.001 (0.005)	Loss 2.6566 (2.7819)	Prec@1 35.156 (33.691)	Prec@5 64.844 (64.141)
Epoch: [9][940/14090]	Time 0.756 (0.770)	Data 0.001 (0.005)	Loss 2.4857 (2.7811)	Prec@1 40.625 (33.704)	Prec@5 67.969 (64.154)
Epoch: [9][950/14090]	Time 0.750 (0.770)	Data 0.001 (0.005)	Loss 2.6366 (2.7808)	Prec@1 39.844 (33.718)	Prec@5 67.969 (64.159)
Epoch: [9][960/14090]	Time 0.758 (0.770)	Data 0.001 (0.005)	Loss 3.1042 (2.7806)	Prec@1 32.031 (33.730)	Prec@5 52.344 (64.155)
Epoch: [9][970/14090]	Time 0.904 (0.770)	Data 0.001 (0.005)	Loss 2.7363 (2.7809)	Prec@1 35.156 (33.715)	Prec@5 60.938 (64.135)
Epoch: [9][980/14090]	Time 0.748 (0.770)	Data 0.001 (0.005)	Loss 2.8073 (2.7817)	Prec@1 33.594 (33.699)	Prec@5 64.062 (64.122)
Epoch: [9][990/14090]	Time 0.765 (0.770)	Data 0.001 (0.004)	Loss 2.7418 (2.7825)	Prec@1 32.031 (33.676)	Prec@5 64.844 (64.115)
Epoch: [9][1000/14090]	Time 0.765 (0.770)	Data 0.001 (0.004)	Loss 2.7005 (2.7816)	Prec@1 35.938 (33.691)	Prec@5 64.844 (64.130)
Epoch: [9][1010/14090]	Time 0.740 (0.770)	Data 0.001 (0.004)	Loss 2.8360 (2.7824)	Prec@1 34.375 (33.669)	Prec@5 57.812 (64.103)
Epoch: [9][1020/14090]	Time 0.730 (0.770)	Data 0.001 (0.004)	Loss 2.7555 (2.7827)	Prec@1 32.031 (33.666)	Prec@5 64.844 (64.093)
Epoch: [9][1030/14090]	Time 0.741 (0.770)	Data 0.001 (0.004)	Loss 2.7373 (2.7825)	Prec@1 35.938 (33.671)	Prec@5 67.969 (64.108)
Epoch: [9][1040/14090]	Time 0.802 (0.770)	Data 0.001 (0.004)	Loss 2.8547 (2.7824)	Prec@1 35.156 (33.670)	Prec@5 66.406 (64.113)
Epoch: [9][1050/14090]	Time 0.764 (0.770)	Data 0.001 (0.004)	Loss 2.6215 (2.7824)	Prec@1 35.156 (33.668)	Prec@5 65.625 (64.112)
Epoch: [9][1060/14090]	Time 0.777 (0.770)	Data 0.001 (0.004)	Loss 3.1000 (2.7821)	Prec@1 32.812 (33.684)	Prec@5 53.906 (64.118)
Epoch: [9][1070/14090]	Time 0.728 (0.770)	Data 0.001 (0.004)	Loss 3.2388 (2.7824)	Prec@1 28.125 (33.689)	Prec@5 57.812 (64.111)
Epoch: [9][1080/14090]	Time 0.734 (0.770)	Data 0.001 (0.004)	Loss 2.6574 (2.7824)	Prec@1 35.938 (33.679)	Prec@5 67.188 (64.109)
Epoch: [9][1090/14090]	Time 0.745 (0.770)	Data 0.001 (0.004)	Loss 2.7609 (2.7823)	Prec@1 37.500 (33.685)	Prec@5 65.625 (64.114)
Epoch: [9][1100/14090]	Time 0.764 (0.770)	Data 0.002 (0.004)	Loss 2.8575 (2.7824)	Prec@1 35.938 (33.683)	Prec@5 64.844 (64.108)
Epoch: [9][1110/14090]	Time 0.866 (0.770)	Data 0.001 (0.004)	Loss 2.9067 (2.7830)	Prec@1 29.688 (33.680)	Prec@5 66.406 (64.103)
Epoch: [9][1120/14090]	Time 0.747 (0.770)	Data 0.001 (0.004)	Loss 2.6053 (2.7831)	Prec@1 37.500 (33.677)	Prec@5 69.531 (64.107)
Epoch: [9][1130/14090]	Time 0.767 (0.769)	Data 0.001 (0.004)	Loss 2.7814 (2.7836)	Prec@1 35.156 (33.672)	Prec@5 60.938 (64.089)
Epoch: [9][1140/14090]	Time 0.733 (0.769)	Data 0.001 (0.004)	Loss 2.9799 (2.7835)	Prec@1 34.375 (33.682)	Prec@5 57.812 (64.093)
Epoch: [9][1150/14090]	Time 0.755 (0.769)	Data 0.001 (0.004)	Loss 2.7924 (2.7840)	Prec@1 24.219 (33.660)	Prec@5 63.281 (64.084)
Epoch: [9][1160/14090]	Time 0.750 (0.769)	Data 0.001 (0.004)	Loss 2.7899 (2.7841)	Prec@1 30.469 (33.672)	Prec@5 67.188 (64.089)
Epoch: [9][1170/14090]	Time 0.769 (0.769)	Data 0.001 (0.004)	Loss 2.5047 (2.7831)	Prec@1 37.500 (33.684)	Prec@5 73.438 (64.107)
Epoch: [9][1180/14090]	Time 0.854 (0.769)	Data 0.001 (0.004)	Loss 2.9516 (2.7837)	Prec@1 32.812 (33.679)	Prec@5 53.906 (64.109)
Epoch: [9][1190/14090]	Time 0.732 (0.769)	Data 0.001 (0.004)	Loss 2.4693 (2.7839)	Prec@1 42.969 (33.680)	Prec@5 67.188 (64.109)
Epoch: [9][1200/14090]	Time 0.737 (0.769)	Data 0.001 (0.004)	Loss 2.9906 (2.7843)	Prec@1 28.906 (33.668)	Prec@5 62.500 (64.107)
Epoch: [9][1210/14090]	Time 0.755 (0.769)	Data 0.001 (0.004)	Loss 2.7528 (2.7844)	Prec@1 37.500 (33.669)	Prec@5 67.188 (64.109)
Epoch: [9][1220/14090]	Time 0.728 (0.769)	Data 0.001 (0.004)	Loss 2.5971 (2.7851)	Prec@1 40.625 (33.663)	Prec@5 67.188 (64.096)
Epoch: [9][1230/14090]	Time 0.769 (0.769)	Data 0.001 (0.004)	Loss 2.6796 (2.7852)	Prec@1 34.375 (33.666)	Prec@5 67.969 (64.089)
Epoch: [9][1240/14090]	Time 0.735 (0.769)	Data 0.001 (0.004)	Loss 3.0952 (2.7856)	Prec@1 29.688 (33.656)	Prec@5 58.594 (64.088)
Epoch: [9][1250/14090]	Time 0.900 (0.769)	Data 0.001 (0.004)	Loss 2.8504 (2.7858)	Prec@1 34.375 (33.669)	Prec@5 61.719 (64.089)
Epoch: [9][1260/14090]	Time 0.766 (0.769)	Data 0.001 (0.004)	Loss 2.7817 (2.7855)	Prec@1 27.344 (33.659)	Prec@5 62.500 (64.097)
Epoch: [9][1270/14090]	Time 0.772 (0.769)	Data 0.001 (0.004)	Loss 2.9951 (2.7855)	Prec@1 33.594 (33.674)	Prec@5 59.375 (64.095)
Epoch: [9][1280/14090]	Time 0.754 (0.769)	Data 0.001 (0.004)	Loss 2.5288 (2.7855)	Prec@1 44.531 (33.680)	Prec@5 67.969 (64.088)
Epoch: [9][1290/14090]	Time 0.778 (0.769)	Data 0.001 (0.004)	Loss 2.6581 (2.7851)	Prec@1 32.031 (33.672)	Prec@5 69.531 (64.093)
Epoch: [9][1300/14090]	Time 0.773 (0.769)	Data 0.001 (0.004)	Loss 2.8654 (2.7856)	Prec@1 39.062 (33.674)	Prec@5 63.281 (64.080)
Epoch: [9][1310/14090]	Time 0.733 (0.769)	Data 0.001 (0.004)	Loss 2.6996 (2.7864)	Prec@1 36.719 (33.668)	Prec@5 66.406 (64.071)
Epoch: [9][1320/14090]	Time 0.865 (0.769)	Data 0.001 (0.004)	Loss 3.0524 (2.7867)	Prec@1 33.594 (33.661)	Prec@5 52.344 (64.060)
Epoch: [9][1330/14090]	Time 0.759 (0.769)	Data 0.001 (0.004)	Loss 2.7323 (2.7875)	Prec@1 31.250 (33.638)	Prec@5 68.750 (64.048)
Epoch: [9][1340/14090]	Time 0.739 (0.769)	Data 0.001 (0.004)	Loss 2.8115 (2.7870)	Prec@1 34.375 (33.652)	Prec@5 63.281 (64.064)
Epoch: [9][1350/14090]	Time 0.752 (0.769)	Data 0.001 (0.004)	Loss 2.8045 (2.7867)	Prec@1 37.500 (33.665)	Prec@5 62.500 (64.070)
Epoch: [9][1360/14090]	Time 0.744 (0.769)	Data 0.001 (0.004)	Loss 2.6445 (2.7865)	Prec@1 32.031 (33.665)	Prec@5 67.969 (64.077)
Epoch: [9][1370/14090]	Time 0.733 (0.769)	Data 0.001 (0.003)	Loss 2.8128 (2.7862)	Prec@1 33.594 (33.674)	Prec@5 58.594 (64.080)
Epoch: [9][1380/14090]	Time 0.750 (0.769)	Data 0.001 (0.003)	Loss 2.7547 (2.7860)	Prec@1 31.250 (33.671)	Prec@5 64.062 (64.082)
Epoch: [9][1390/14090]	Time 0.840 (0.769)	Data 0.001 (0.003)	Loss 2.6857 (2.7863)	Prec@1 35.938 (33.676)	Prec@5 70.312 (64.075)
Epoch: [9][1400/14090]	Time 0.774 (0.769)	Data 0.001 (0.003)	Loss 3.0651 (2.7868)	Prec@1 28.906 (33.671)	Prec@5 61.719 (64.068)
Epoch: [9][1410/14090]	Time 0.755 (0.769)	Data 0.001 (0.003)	Loss 2.8697 (2.7866)	Prec@1 34.375 (33.682)	Prec@5 60.156 (64.066)
Epoch: [9][1420/14090]	Time 0.741 (0.769)	Data 0.001 (0.003)	Loss 2.7805 (2.7870)	Prec@1 32.031 (33.670)	Prec@5 57.031 (64.056)
Epoch: [9][1430/14090]	Time 0.749 (0.769)	Data 0.001 (0.003)	Loss 2.9653 (2.7875)	Prec@1 30.469 (33.659)	Prec@5 59.375 (64.055)
Epoch: [9][1440/14090]	Time 0.757 (0.769)	Data 0.001 (0.003)	Loss 2.6921 (2.7881)	Prec@1 35.156 (33.652)	Prec@5 67.188 (64.048)
Epoch: [9][1450/14090]	Time 0.752 (0.769)	Data 0.001 (0.003)	Loss 2.9199 (2.7884)	Prec@1 32.031 (33.659)	Prec@5 64.062 (64.037)
Epoch: [9][1460/14090]	Time 0.838 (0.769)	Data 0.001 (0.003)	Loss 2.8752 (2.7882)	Prec@1 31.250 (33.668)	Prec@5 60.938 (64.034)
Epoch: [9][1470/14090]	Time 0.786 (0.769)	Data 0.001 (0.003)	Loss 2.4594 (2.7878)	Prec@1 38.281 (33.671)	Prec@5 72.656 (64.040)
Epoch: [9][1480/14090]	Time 0.762 (0.769)	Data 0.001 (0.003)	Loss 2.6946 (2.7873)	Prec@1 39.062 (33.676)	Prec@5 65.625 (64.056)
Epoch: [9][1490/14090]	Time 0.735 (0.769)	Data 0.001 (0.003)	Loss 2.9541 (2.7881)	Prec@1 28.906 (33.679)	Prec@5 58.594 (64.039)
Epoch: [9][1500/14090]	Time 0.786 (0.769)	Data 0.001 (0.003)	Loss 2.8268 (2.7880)	Prec@1 32.031 (33.675)	Prec@5 67.188 (64.034)
Epoch: [9][1510/14090]	Time 0.728 (0.769)	Data 0.001 (0.003)	Loss 2.8090 (2.7882)	Prec@1 31.250 (33.672)	Prec@5 59.375 (64.028)
Epoch: [9][1520/14090]	Time 0.749 (0.769)	Data 0.001 (0.003)	Loss 2.9954 (2.7880)	Prec@1 28.125 (33.675)	Prec@5 60.938 (64.028)
Epoch: [9][1530/14090]	Time 0.860 (0.769)	Data 0.001 (0.003)	Loss 2.7660 (2.7880)	Prec@1 37.500 (33.675)	Prec@5 64.844 (64.018)
Epoch: [9][1540/14090]	Time 0.735 (0.769)	Data 0.001 (0.003)	Loss 2.7446 (2.7876)	Prec@1 33.594 (33.676)	Prec@5 62.500 (64.020)
Epoch: [9][1550/14090]	Time 0.755 (0.769)	Data 0.001 (0.003)	Loss 2.5629 (2.7878)	Prec@1 33.594 (33.671)	Prec@5 69.531 (64.017)
Epoch: [9][1560/14090]	Time 0.756 (0.769)	Data 0.001 (0.003)	Loss 3.0178 (2.7878)	Prec@1 34.375 (33.673)	Prec@5 56.250 (64.013)
Epoch: [9][1570/14090]	Time 0.767 (0.769)	Data 0.001 (0.003)	Loss 2.6995 (2.7882)	Prec@1 35.156 (33.661)	Prec@5 65.625 (64.010)
Epoch: [9][1580/14090]	Time 0.762 (0.769)	Data 0.001 (0.003)	Loss 2.7651 (2.7885)	Prec@1 32.031 (33.654)	Prec@5 66.406 (64.006)
Epoch: [9][1590/14090]	Time 0.749 (0.769)	Data 0.001 (0.003)	Loss 2.6894 (2.7885)	Prec@1 32.031 (33.648)	Prec@5 64.062 (64.016)
Epoch: [9][1600/14090]	Time 0.871 (0.769)	Data 0.001 (0.003)	Loss 2.9870 (2.7890)	Prec@1 28.125 (33.633)	Prec@5 59.375 (64.009)
Epoch: [9][1610/14090]	Time 0.754 (0.769)	Data 0.002 (0.003)	Loss 2.6897 (2.7893)	Prec@1 36.719 (33.629)	Prec@5 65.625 (64.002)
Epoch: [9][1620/14090]	Time 0.756 (0.769)	Data 0.001 (0.003)	Loss 2.6704 (2.7893)	Prec@1 37.500 (33.630)	Prec@5 71.094 (64.010)
Epoch: [9][1630/14090]	Time 0.746 (0.769)	Data 0.001 (0.003)	Loss 3.1067 (2.7896)	Prec@1 38.281 (33.640)	Prec@5 56.250 (64.002)
Epoch: [9][1640/14090]	Time 0.757 (0.769)	Data 0.001 (0.003)	Loss 2.9377 (2.7897)	Prec@1 29.688 (33.627)	Prec@5 62.500 (64.001)
Epoch: [9][1650/14090]	Time 0.769 (0.769)	Data 0.001 (0.003)	Loss 2.7195 (2.7898)	Prec@1 35.938 (33.622)	Prec@5 64.844 (64.007)
Epoch: [9][1660/14090]	Time 0.756 (0.769)	Data 0.003 (0.003)	Loss 2.6336 (2.7892)	Prec@1 36.719 (33.629)	Prec@5 67.969 (64.021)
Epoch: [9][1670/14090]	Time 0.928 (0.769)	Data 0.001 (0.003)	Loss 2.7461 (2.7891)	Prec@1 34.375 (33.639)	Prec@5 60.938 (64.020)
Epoch: [9][1680/14090]	Time 0.756 (0.769)	Data 0.001 (0.003)	Loss 3.2844 (2.7893)	Prec@1 25.781 (33.643)	Prec@5 53.906 (64.016)
Epoch: [9][1690/14090]	Time 0.728 (0.769)	Data 0.001 (0.003)	Loss 2.7793 (2.7901)	Prec@1 33.594 (33.627)	Prec@5 64.062 (64.006)
Epoch: [9][1700/14090]	Time 0.763 (0.769)	Data 0.001 (0.003)	Loss 2.5163 (2.7898)	Prec@1 36.719 (33.638)	Prec@5 65.625 (64.014)
Epoch: [9][1710/14090]	Time 0.762 (0.769)	Data 0.001 (0.003)	Loss 2.8978 (2.7901)	Prec@1 32.031 (33.625)	Prec@5 58.594 (64.005)
Epoch: [9][1720/14090]	Time 0.738 (0.769)	Data 0.001 (0.003)	Loss 2.9726 (2.7901)	Prec@1 32.031 (33.623)	Prec@5 60.156 (64.004)
Epoch: [9][1730/14090]	Time 0.748 (0.769)	Data 0.001 (0.003)	Loss 2.8995 (2.7905)	Prec@1 32.812 (33.621)	Prec@5 59.375 (63.991)
Epoch: [9][1740/14090]	Time 0.898 (0.769)	Data 0.001 (0.003)	Loss 3.1967 (2.7907)	Prec@1 27.344 (33.617)	Prec@5 57.812 (63.988)
Epoch: [9][1750/14090]	Time 0.748 (0.769)	Data 0.001 (0.003)	Loss 2.6846 (2.7908)	Prec@1 32.031 (33.609)	Prec@5 64.844 (63.992)
Epoch: [9][1760/14090]	Time 0.764 (0.769)	Data 0.001 (0.003)	Loss 2.6411 (2.7910)	Prec@1 38.281 (33.603)	Prec@5 63.281 (63.982)
Epoch: [9][1770/14090]	Time 0.729 (0.769)	Data 0.001 (0.003)	Loss 2.5228 (2.7911)	Prec@1 38.281 (33.601)	Prec@5 73.438 (63.985)
Epoch: [9][1780/14090]	Time 0.749 (0.769)	Data 0.001 (0.003)	Loss 2.8040 (2.7915)	Prec@1 33.594 (33.588)	Prec@5 57.812 (63.967)
Epoch: [9][1790/14090]	Time 0.756 (0.769)	Data 0.001 (0.003)	Loss 2.9326 (2.7917)	Prec@1 35.938 (33.587)	Prec@5 61.719 (63.964)
Epoch: [9][1800/14090]	Time 0.752 (0.769)	Data 0.001 (0.003)	Loss 2.9604 (2.7922)	Prec@1 31.250 (33.576)	Prec@5 63.281 (63.964)
Epoch: [9][1810/14090]	Time 0.910 (0.769)	Data 0.001 (0.003)	Loss 2.6966 (2.7916)	Prec@1 33.594 (33.592)	Prec@5 60.156 (63.988)
Epoch: [9][1820/14090]	Time 0.746 (0.769)	Data 0.001 (0.003)	Loss 2.6589 (2.7912)	Prec@1 34.375 (33.596)	Prec@5 65.625 (63.993)
Epoch: [9][1830/14090]	Time 0.744 (0.769)	Data 0.001 (0.003)	Loss 2.9097 (2.7911)	Prec@1 35.938 (33.599)	Prec@5 60.938 (63.998)
Epoch: [9][1840/14090]	Time 0.724 (0.769)	Data 0.001 (0.003)	Loss 2.6785 (2.7911)	Prec@1 37.500 (33.599)	Prec@5 64.844 (63.993)
Epoch: [9][1850/14090]	Time 0.730 (0.769)	Data 0.001 (0.003)	Loss 2.7306 (2.7911)	Prec@1 32.812 (33.595)	Prec@5 67.188 (63.995)
Epoch: [9][1860/14090]	Time 0.729 (0.769)	Data 0.001 (0.003)	Loss 2.9142 (2.7907)	Prec@1 34.375 (33.601)	Prec@5 60.938 (64.005)
Epoch: [9][1870/14090]	Time 0.761 (0.769)	Data 0.001 (0.003)	Loss 2.7635 (2.7910)	Prec@1 29.688 (33.597)	Prec@5 67.188 (64.000)
Epoch: [9][1880/14090]	Time 0.890 (0.769)	Data 0.001 (0.003)	Loss 2.6724 (2.7911)	Prec@1 36.719 (33.603)	Prec@5 63.281 (64.001)
Epoch: [9][1890/14090]	Time 0.755 (0.769)	Data 0.001 (0.003)	Loss 2.8303 (2.7909)	Prec@1 34.375 (33.609)	Prec@5 59.375 (64.001)
Epoch: [9][1900/14090]	Time 0.755 (0.769)	Data 0.001 (0.003)	Loss 2.9889 (2.7910)	Prec@1 27.344 (33.606)	Prec@5 61.719 (64.001)
Epoch: [9][1910/14090]	Time 0.750 (0.769)	Data 0.001 (0.003)	Loss 2.8008 (2.7914)	Prec@1 37.500 (33.606)	Prec@5 64.062 (63.993)
Epoch: [9][1920/14090]	Time 0.742 (0.769)	Data 0.001 (0.003)	Loss 2.9013 (2.7915)	Prec@1 32.031 (33.604)	Prec@5 61.719 (63.987)
Epoch: [9][1930/14090]	Time 0.724 (0.769)	Data 0.001 (0.003)	Loss 2.7305 (2.7919)	Prec@1 33.594 (33.600)	Prec@5 65.625 (63.984)
Epoch: [9][1940/14090]	Time 0.756 (0.769)	Data 0.001 (0.003)	Loss 2.7100 (2.7920)	Prec@1 32.031 (33.604)	Prec@5 73.438 (63.990)
Epoch: [9][1950/14090]	Time 1.069 (0.769)	Data 0.001 (0.003)	Loss 2.7905 (2.7912)	Prec@1 34.375 (33.623)	Prec@5 67.188 (64.012)
Epoch: [9][1960/14090]	Time 0.730 (0.769)	Data 0.001 (0.003)	Loss 2.3891 (2.7911)	Prec@1 46.094 (33.629)	Prec@5 71.875 (64.014)
Epoch: [9][1970/14090]	Time 0.752 (0.769)	Data 0.001 (0.003)	Loss 3.1273 (2.7912)	Prec@1 27.344 (33.627)	Prec@5 57.812 (64.010)
Epoch: [9][1980/14090]	Time 0.746 (0.769)	Data 0.001 (0.003)	Loss 2.5212 (2.7910)	Prec@1 40.625 (33.628)	Prec@5 70.312 (64.016)
Epoch: [9][1990/14090]	Time 0.780 (0.769)	Data 0.001 (0.003)	Loss 3.0167 (2.7910)	Prec@1 32.812 (33.635)	Prec@5 58.594 (64.021)
Epoch: [9][2000/14090]	Time 0.755 (0.769)	Data 0.001 (0.003)	Loss 2.5570 (2.7909)	Prec@1 39.062 (33.640)	Prec@5 68.750 (64.034)
Epoch: [9][2010/14090]	Time 0.740 (0.769)	Data 0.001 (0.003)	Loss 2.7933 (2.7909)	Prec@1 34.375 (33.640)	Prec@5 67.969 (64.035)
Epoch: [9][2020/14090]	Time 0.961 (0.769)	Data 0.001 (0.003)	Loss 2.6361 (2.7906)	Prec@1 35.156 (33.645)	Prec@5 69.531 (64.043)
Epoch: [9][2030/14090]	Time 0.728 (0.769)	Data 0.001 (0.003)	Loss 2.8385 (2.7907)	Prec@1 30.469 (33.642)	Prec@5 62.500 (64.040)
Epoch: [9][2040/14090]	Time 0.772 (0.769)	Data 0.001 (0.003)	Loss 2.5133 (2.7903)	Prec@1 42.188 (33.652)	Prec@5 68.750 (64.047)
Epoch: [9][2050/14090]	Time 0.754 (0.769)	Data 0.001 (0.003)	Loss 2.9021 (2.7907)	Prec@1 33.594 (33.646)	Prec@5 60.938 (64.040)
Epoch: [9][2060/14090]	Time 0.776 (0.769)	Data 0.001 (0.003)	Loss 2.8495 (2.7910)	Prec@1 33.594 (33.643)	Prec@5 64.062 (64.031)
Epoch: [9][2070/14090]	Time 0.734 (0.769)	Data 0.001 (0.003)	Loss 2.7599 (2.7916)	Prec@1 32.031 (33.640)	Prec@5 63.281 (64.021)
Epoch: [9][2080/14090]	Time 0.759 (0.769)	Data 0.001 (0.003)	Loss 2.8355 (2.7915)	Prec@1 33.594 (33.647)	Prec@5 59.375 (64.023)
Epoch: [9][2090/14090]	Time 0.853 (0.769)	Data 0.001 (0.003)	Loss 2.6399 (2.7915)	Prec@1 30.469 (33.647)	Prec@5 74.219 (64.024)
Epoch: [9][2100/14090]	Time 0.764 (0.769)	Data 0.001 (0.003)	Loss 2.9640 (2.7917)	Prec@1 25.781 (33.640)	Prec@5 61.719 (64.017)
Epoch: [9][2110/14090]	Time 0.738 (0.769)	Data 0.001 (0.003)	Loss 2.7938 (2.7916)	Prec@1 37.500 (33.649)	Prec@5 61.719 (64.016)
Epoch: [9][2120/14090]	Time 0.747 (0.769)	Data 0.001 (0.003)	Loss 2.7401 (2.7921)	Prec@1 33.594 (33.642)	Prec@5 64.062 (64.003)
Epoch: [9][2130/14090]	Time 0.745 (0.769)	Data 0.001 (0.003)	Loss 2.8045 (2.7924)	Prec@1 28.125 (33.635)	Prec@5 68.750 (63.995)
Epoch: [9][2140/14090]	Time 0.745 (0.769)	Data 0.001 (0.003)	Loss 2.7931 (2.7925)	Prec@1 35.938 (33.639)	Prec@5 62.500 (63.999)
Epoch: [9][2150/14090]	Time 0.726 (0.769)	Data 0.001 (0.003)	Loss 2.6495 (2.7929)	Prec@1 38.281 (33.637)	Prec@5 64.062 (63.989)
Epoch: [9][2160/14090]	Time 0.832 (0.769)	Data 0.001 (0.003)	Loss 2.6397 (2.7929)	Prec@1 35.938 (33.640)	Prec@5 65.625 (63.995)
Epoch: [9][2170/14090]	Time 0.757 (0.769)	Data 0.001 (0.003)	Loss 2.7454 (2.7932)	Prec@1 35.938 (33.635)	Prec@5 70.312 (63.998)
Epoch: [9][2180/14090]	Time 0.740 (0.769)	Data 0.001 (0.003)	Loss 2.8428 (2.7935)	Prec@1 33.594 (33.632)	Prec@5 60.938 (63.992)
Epoch: [9][2190/14090]	Time 0.777 (0.769)	Data 0.001 (0.003)	Loss 2.7256 (2.7935)	Prec@1 33.594 (33.627)	Prec@5 64.062 (63.991)
Epoch: [9][2200/14090]	Time 0.754 (0.769)	Data 0.001 (0.003)	Loss 2.5244 (2.7932)	Prec@1 42.188 (33.628)	Prec@5 69.531 (64.001)
Epoch: [9][2210/14090]	Time 0.749 (0.769)	Data 0.001 (0.003)	Loss 2.8095 (2.7932)	Prec@1 31.250 (33.623)	Prec@5 70.312 (64.006)
Epoch: [9][2220/14090]	Time 0.766 (0.769)	Data 0.001 (0.003)	Loss 2.9479 (2.7934)	Prec@1 32.812 (33.615)	Prec@5 64.844 (64.005)
Epoch: [9][2230/14090]	Time 0.856 (0.769)	Data 0.001 (0.002)	Loss 2.9117 (2.7935)	Prec@1 32.812 (33.620)	Prec@5 60.938 (64.004)
Epoch: [9][2240/14090]	Time 0.742 (0.769)	Data 0.001 (0.002)	Loss 2.6247 (2.7936)	Prec@1 37.500 (33.616)	Prec@5 64.844 (64.004)
Epoch: [9][2250/14090]	Time 0.778 (0.769)	Data 0.001 (0.002)	Loss 2.3936 (2.7933)	Prec@1 46.094 (33.628)	Prec@5 75.000 (64.008)
Epoch: [9][2260/14090]	Time 0.772 (0.769)	Data 0.001 (0.002)	Loss 3.0145 (2.7935)	Prec@1 31.250 (33.630)	Prec@5 59.375 (64.000)
Epoch: [9][2270/14090]	Time 0.733 (0.769)	Data 0.001 (0.002)	Loss 2.6615 (2.7934)	Prec@1 32.812 (33.636)	Prec@5 64.062 (64.008)
Epoch: [9][2280/14090]	Time 0.743 (0.769)	Data 0.001 (0.002)	Loss 3.0154 (2.7934)	Prec@1 32.031 (33.633)	Prec@5 60.156 (64.006)
Epoch: [9][2290/14090]	Time 0.717 (0.769)	Data 0.001 (0.002)	Loss 3.0832 (2.7930)	Prec@1 28.125 (33.640)	Prec@5 59.375 (64.010)
Epoch: [9][2300/14090]	Time 0.866 (0.769)	Data 0.001 (0.002)	Loss 2.8093 (2.7928)	Prec@1 41.406 (33.648)	Prec@5 60.156 (64.015)
Epoch: [9][2310/14090]	Time 0.735 (0.769)	Data 0.001 (0.002)	Loss 2.7648 (2.7928)	Prec@1 32.031 (33.648)	Prec@5 69.531 (64.014)
Epoch: [9][2320/14090]	Time 0.732 (0.769)	Data 0.001 (0.002)	Loss 2.7216 (2.7929)	Prec@1 35.156 (33.641)	Prec@5 63.281 (64.015)
Epoch: [9][2330/14090]	Time 0.756 (0.769)	Data 0.001 (0.002)	Loss 2.6088 (2.7930)	Prec@1 38.281 (33.644)	Prec@5 64.844 (64.015)
Epoch: [9][2340/14090]	Time 0.744 (0.769)	Data 0.001 (0.002)	Loss 2.7701 (2.7931)	Prec@1 38.281 (33.645)	Prec@5 57.031 (64.006)
Epoch: [9][2350/14090]	Time 0.743 (0.769)	Data 0.001 (0.002)	Loss 2.7932 (2.7933)	Prec@1 32.812 (33.636)	Prec@5 62.500 (64.000)
Epoch: [9][2360/14090]	Time 0.757 (0.769)	Data 0.001 (0.002)	Loss 2.7927 (2.7935)	Prec@1 35.156 (33.634)	Prec@5 62.500 (63.995)
Epoch: [9][2370/14090]	Time 0.934 (0.769)	Data 0.001 (0.002)	Loss 2.9148 (2.7935)	Prec@1 30.469 (33.634)	Prec@5 58.594 (63.996)
Epoch: [9][2380/14090]	Time 0.753 (0.769)	Data 0.001 (0.002)	Loss 2.8276 (2.7934)	Prec@1 32.031 (33.638)	Prec@5 64.062 (63.994)
Epoch: [9][2390/14090]	Time 0.756 (0.769)	Data 0.001 (0.002)	Loss 2.8800 (2.7933)	Prec@1 37.500 (33.642)	Prec@5 62.500 (63.994)
Epoch: [9][2400/14090]	Time 0.766 (0.769)	Data 0.001 (0.002)	Loss 2.9786 (2.7936)	Prec@1 25.000 (33.634)	Prec@5 60.156 (63.987)
Epoch: [9][2410/14090]	Time 0.749 (0.769)	Data 0.001 (0.002)	Loss 2.8031 (2.7933)	Prec@1 35.938 (33.641)	Prec@5 63.281 (63.992)
Epoch: [9][2420/14090]	Time 0.769 (0.769)	Data 0.001 (0.002)	Loss 3.0910 (2.7931)	Prec@1 32.812 (33.645)	Prec@5 55.469 (63.990)
Epoch: [9][2430/14090]	Time 0.757 (0.769)	Data 0.001 (0.002)	Loss 2.9101 (2.7933)	Prec@1 28.906 (33.636)	Prec@5 65.625 (63.989)
Epoch: [9][2440/14090]	Time 0.892 (0.769)	Data 0.001 (0.002)	Loss 2.8615 (2.7931)	Prec@1 32.031 (33.636)	Prec@5 60.938 (63.995)
Epoch: [9][2450/14090]	Time 0.740 (0.769)	Data 0.001 (0.002)	Loss 2.7384 (2.7934)	Prec@1 35.938 (33.634)	Prec@5 63.281 (63.989)
Epoch: [9][2460/14090]	Time 0.747 (0.769)	Data 0.001 (0.002)	Loss 2.9060 (2.7933)	Prec@1 32.031 (33.631)	Prec@5 68.750 (63.994)
Epoch: [9][2470/14090]	Time 0.758 (0.769)	Data 0.001 (0.002)	Loss 2.8501 (2.7930)	Prec@1 32.812 (33.635)	Prec@5 67.188 (63.998)
Epoch: [9][2480/14090]	Time 0.753 (0.769)	Data 0.001 (0.002)	Loss 2.7859 (2.7933)	Prec@1 34.375 (33.626)	Prec@5 67.969 (63.993)
Epoch: [9][2490/14090]	Time 0.754 (0.769)	Data 0.001 (0.002)	Loss 2.5466 (2.7931)	Prec@1 39.062 (33.629)	Prec@5 67.969 (63.996)
Epoch: [9][2500/14090]	Time 0.766 (0.769)	Data 0.001 (0.002)	Loss 2.8115 (2.7935)	Prec@1 32.812 (33.629)	Prec@5 59.375 (63.988)
Epoch: [9][2510/14090]	Time 0.986 (0.769)	Data 0.001 (0.002)	Loss 2.6599 (2.7934)	Prec@1 41.406 (33.629)	Prec@5 67.188 (63.986)
Epoch: [9][2520/14090]	Time 0.740 (0.769)	Data 0.001 (0.002)	Loss 2.7237 (2.7937)	Prec@1 33.594 (33.623)	Prec@5 61.719 (63.979)
Epoch: [9][2530/14090]	Time 0.769 (0.769)	Data 0.001 (0.002)	Loss 2.7091 (2.7938)	Prec@1 35.156 (33.613)	Prec@5 67.188 (63.975)
Epoch: [9][2540/14090]	Time 0.752 (0.769)	Data 0.001 (0.002)	Loss 2.8798 (2.7937)	Prec@1 34.375 (33.614)	Prec@5 64.062 (63.975)
Epoch: [9][2550/14090]	Time 0.758 (0.769)	Data 0.001 (0.002)	Loss 2.6645 (2.7937)	Prec@1 39.062 (33.619)	Prec@5 67.188 (63.976)
Epoch: [9][2560/14090]	Time 0.756 (0.769)	Data 0.001 (0.002)	Loss 2.8864 (2.7936)	Prec@1 39.844 (33.624)	Prec@5 64.062 (63.975)
Epoch: [9][2570/14090]	Time 0.731 (0.769)	Data 0.001 (0.002)	Loss 2.9368 (2.7936)	Prec@1 32.812 (33.629)	Prec@5 59.375 (63.976)
Epoch: [9][2580/14090]	Time 0.835 (0.769)	Data 0.001 (0.002)	Loss 2.6183 (2.7939)	Prec@1 37.500 (33.620)	Prec@5 73.438 (63.974)
Epoch: [9][2590/14090]	Time 0.752 (0.769)	Data 0.001 (0.002)	Loss 2.8862 (2.7940)	Prec@1 33.594 (33.619)	Prec@5 61.719 (63.976)
Epoch: [9][2600/14090]	Time 0.754 (0.769)	Data 0.001 (0.002)	Loss 2.8914 (2.7942)	Prec@1 30.469 (33.613)	Prec@5 62.500 (63.970)
Epoch: [9][2610/14090]	Time 0.744 (0.769)	Data 0.001 (0.002)	Loss 2.8345 (2.7944)	Prec@1 31.250 (33.611)	Prec@5 60.938 (63.970)
Epoch: [9][2620/14090]	Time 0.748 (0.769)	Data 0.001 (0.002)	Loss 2.5947 (2.7945)	Prec@1 35.938 (33.617)	Prec@5 62.500 (63.964)
Epoch: [9][2630/14090]	Time 0.733 (0.769)	Data 0.001 (0.002)	Loss 2.7694 (2.7947)	Prec@1 33.594 (33.611)	Prec@5 64.062 (63.960)
Epoch: [9][2640/14090]	Time 0.746 (0.769)	Data 0.001 (0.002)	Loss 3.0840 (2.7946)	Prec@1 27.344 (33.607)	Prec@5 60.156 (63.961)
Epoch: [9][2650/14090]	Time 0.904 (0.769)	Data 0.001 (0.002)	Loss 2.9933 (2.7947)	Prec@1 32.031 (33.607)	Prec@5 57.812 (63.956)
Epoch: [9][2660/14090]	Time 0.750 (0.769)	Data 0.001 (0.002)	Loss 2.8405 (2.7946)	Prec@1 38.281 (33.604)	Prec@5 63.281 (63.960)
Epoch: [9][2670/14090]	Time 0.755 (0.769)	Data 0.001 (0.002)	Loss 2.9593 (2.7947)	Prec@1 28.906 (33.598)	Prec@5 57.812 (63.954)
Epoch: [9][2680/14090]	Time 0.768 (0.769)	Data 0.001 (0.002)	Loss 2.8795 (2.7947)	Prec@1 34.375 (33.596)	Prec@5 57.031 (63.954)
Epoch: [9][2690/14090]	Time 0.753 (0.769)	Data 0.001 (0.002)	Loss 2.8671 (2.7948)	Prec@1 33.594 (33.590)	Prec@5 66.406 (63.950)
Epoch: [9][2700/14090]	Time 0.740 (0.769)	Data 0.001 (0.002)	Loss 2.6546 (2.7947)	Prec@1 28.906 (33.591)	Prec@5 69.531 (63.953)
Epoch: [9][2710/14090]	Time 0.765 (0.769)	Data 0.001 (0.002)	Loss 3.0937 (2.7949)	Prec@1 29.688 (33.590)	Prec@5 58.594 (63.950)
Epoch: [9][2720/14090]	Time 0.897 (0.769)	Data 0.001 (0.002)	Loss 2.9351 (2.7952)	Prec@1 28.125 (33.580)	Prec@5 59.375 (63.938)
Epoch: [9][2730/14090]	Time 0.754 (0.769)	Data 0.001 (0.002)	Loss 2.6067 (2.7952)	Prec@1 33.594 (33.579)	Prec@5 69.531 (63.938)
Epoch: [9][2740/14090]	Time 0.763 (0.769)	Data 0.001 (0.002)	Loss 2.8678 (2.7952)	Prec@1 35.156 (33.583)	Prec@5 58.594 (63.935)
Epoch: [9][2750/14090]	Time 0.728 (0.769)	Data 0.001 (0.002)	Loss 2.6255 (2.7952)	Prec@1 35.156 (33.582)	Prec@5 64.844 (63.934)
Epoch: [9][2760/14090]	Time 0.778 (0.769)	Data 0.001 (0.002)	Loss 2.7308 (2.7954)	Prec@1 33.594 (33.579)	Prec@5 64.844 (63.933)
Epoch: [9][2770/14090]	Time 0.754 (0.769)	Data 0.001 (0.002)	Loss 2.9745 (2.7952)	Prec@1 33.594 (33.587)	Prec@5 59.375 (63.942)
Epoch: [9][2780/14090]	Time 0.763 (0.769)	Data 0.001 (0.002)	Loss 3.0487 (2.7953)	Prec@1 28.906 (33.582)	Prec@5 53.906 (63.935)
Epoch: [9][2790/14090]	Time 0.840 (0.769)	Data 0.001 (0.002)	Loss 2.7873 (2.7952)	Prec@1 39.844 (33.591)	Prec@5 64.062 (63.941)
Epoch: [9][2800/14090]	Time 0.759 (0.769)	Data 0.001 (0.002)	Loss 3.0373 (2.7953)	Prec@1 26.562 (33.583)	Prec@5 57.031 (63.933)
Epoch: [9][2810/14090]	Time 0.727 (0.769)	Data 0.001 (0.002)	Loss 3.1529 (2.7956)	Prec@1 28.125 (33.585)	Prec@5 54.688 (63.930)
Epoch: [9][2820/14090]	Time 0.763 (0.769)	Data 0.001 (0.002)	Loss 2.8430 (2.7956)	Prec@1 35.938 (33.581)	Prec@5 61.719 (63.929)
Epoch: [9][2830/14090]	Time 0.755 (0.769)	Data 0.001 (0.002)	Loss 2.8242 (2.7954)	Prec@1 35.938 (33.588)	Prec@5 62.500 (63.935)
Epoch: [9][2840/14090]	Time 0.757 (0.769)	Data 0.001 (0.002)	Loss 2.6414 (2.7955)	Prec@1 35.938 (33.586)	Prec@5 65.625 (63.933)
Epoch: [9][2850/14090]	Time 0.741 (0.769)	Data 0.001 (0.002)	Loss 2.7842 (2.7954)	Prec@1 30.469 (33.586)	Prec@5 64.844 (63.937)
Epoch: [9][2860/14090]	Time 0.873 (0.769)	Data 0.001 (0.002)	Loss 2.9868 (2.7956)	Prec@1 25.000 (33.586)	Prec@5 58.594 (63.935)
Epoch: [9][2870/14090]	Time 0.759 (0.769)	Data 0.001 (0.002)	Loss 2.7697 (2.7954)	Prec@1 33.594 (33.593)	Prec@5 65.625 (63.942)
Epoch: [9][2880/14090]	Time 0.748 (0.769)	Data 0.001 (0.002)	Loss 2.7664 (2.7956)	Prec@1 35.156 (33.583)	Prec@5 70.312 (63.944)
Epoch: [9][2890/14090]	Time 0.739 (0.769)	Data 0.001 (0.002)	Loss 2.7082 (2.7954)	Prec@1 37.500 (33.586)	Prec@5 64.844 (63.947)
Epoch: [9][2900/14090]	Time 0.760 (0.769)	Data 0.001 (0.002)	Loss 2.8519 (2.7955)	Prec@1 33.594 (33.583)	Prec@5 60.938 (63.945)
Epoch: [9][2910/14090]	Time 0.742 (0.769)	Data 0.001 (0.002)	Loss 2.3649 (2.7954)	Prec@1 40.625 (33.583)	Prec@5 72.656 (63.946)
Epoch: [9][2920/14090]	Time 0.756 (0.769)	Data 0.001 (0.002)	Loss 2.8030 (2.7952)	Prec@1 32.031 (33.587)	Prec@5 63.281 (63.947)
Epoch: [9][2930/14090]	Time 0.890 (0.769)	Data 0.001 (0.002)	Loss 2.8640 (2.7954)	Prec@1 35.156 (33.590)	Prec@5 62.500 (63.942)
Epoch: [9][2940/14090]	Time 0.742 (0.769)	Data 0.001 (0.002)	Loss 2.8422 (2.7951)	Prec@1 33.594 (33.599)	Prec@5 64.844 (63.949)
Epoch: [9][2950/14090]	Time 0.755 (0.769)	Data 0.001 (0.002)	Loss 3.0551 (2.7947)	Prec@1 26.562 (33.608)	Prec@5 57.031 (63.954)
Epoch: [9][2960/14090]	Time 0.749 (0.769)	Data 0.001 (0.002)	Loss 2.9581 (2.7946)	Prec@1 31.250 (33.609)	Prec@5 62.500 (63.954)
Epoch: [9][2970/14090]	Time 0.745 (0.769)	Data 0.001 (0.002)	Loss 2.8960 (2.7945)	Prec@1 32.812 (33.616)	Prec@5 63.281 (63.957)
Epoch: [9][2980/14090]	Time 0.748 (0.769)	Data 0.001 (0.002)	Loss 2.8570 (2.7944)	Prec@1 29.688 (33.615)	Prec@5 62.500 (63.955)
Epoch: [9][2990/14090]	Time 0.760 (0.769)	Data 0.001 (0.002)	Loss 2.6100 (2.7943)	Prec@1 39.844 (33.619)	Prec@5 67.969 (63.960)
Epoch: [9][3000/14090]	Time 0.880 (0.769)	Data 0.001 (0.002)	Loss 2.4917 (2.7942)	Prec@1 37.500 (33.619)	Prec@5 74.219 (63.967)
Epoch: [9][3010/14090]	Time 0.733 (0.769)	Data 0.001 (0.002)	Loss 2.6622 (2.7938)	Prec@1 35.938 (33.627)	Prec@5 69.531 (63.975)
Epoch: [9][3020/14090]	Time 0.734 (0.769)	Data 0.001 (0.002)	Loss 2.6678 (2.7936)	Prec@1 35.156 (33.629)	Prec@5 64.844 (63.982)
Epoch: [9][3030/14090]	Time 0.739 (0.769)	Data 0.001 (0.002)	Loss 2.8148 (2.7936)	Prec@1 38.281 (33.634)	Prec@5 60.938 (63.977)
Epoch: [9][3040/14090]	Time 0.757 (0.769)	Data 0.001 (0.002)	Loss 2.8626 (2.7934)	Prec@1 33.594 (33.646)	Prec@5 60.938 (63.981)
Epoch: [9][3050/14090]	Time 0.755 (0.769)	Data 0.001 (0.002)	Loss 2.7051 (2.7935)	Prec@1 31.250 (33.644)	Prec@5 67.188 (63.982)
Epoch: [9][3060/14090]	Time 0.744 (0.769)	Data 0.001 (0.002)	Loss 2.5466 (2.7936)	Prec@1 42.969 (33.649)	Prec@5 69.531 (63.976)
Epoch: [9][3070/14090]	Time 0.859 (0.769)	Data 0.001 (0.002)	Loss 2.7170 (2.7934)	Prec@1 35.156 (33.653)	Prec@5 65.625 (63.983)
Epoch: [9][3080/14090]	Time 0.759 (0.769)	Data 0.001 (0.002)	Loss 2.7087 (2.7933)	Prec@1 27.344 (33.650)	Prec@5 65.625 (63.984)
Epoch: [9][3090/14090]	Time 0.779 (0.769)	Data 0.001 (0.002)	Loss 2.6531 (2.7929)	Prec@1 31.250 (33.650)	Prec@5 67.188 (63.994)
Epoch: [9][3100/14090]	Time 0.746 (0.769)	Data 0.001 (0.002)	Loss 2.5958 (2.7926)	Prec@1 32.031 (33.655)	Prec@5 66.406 (64.000)
Epoch: [9][3110/14090]	Time 0.746 (0.769)	Data 0.001 (0.002)	Loss 2.9373 (2.7927)	Prec@1 28.125 (33.652)	Prec@5 64.062 (63.995)
Epoch: [9][3120/14090]	Time 0.734 (0.769)	Data 0.001 (0.002)	Loss 2.6926 (2.7929)	Prec@1 38.281 (33.650)	Prec@5 66.406 (63.992)
Epoch: [9][3130/14090]	Time 0.730 (0.769)	Data 0.001 (0.002)	Loss 2.4223 (2.7928)	Prec@1 35.156 (33.649)	Prec@5 69.531 (63.995)
Epoch: [9][3140/14090]	Time 0.855 (0.769)	Data 0.001 (0.002)	Loss 2.6744 (2.7928)	Prec@1 37.500 (33.646)	Prec@5 65.625 (63.992)
Epoch: [9][3150/14090]	Time 0.740 (0.769)	Data 0.001 (0.002)	Loss 2.6810 (2.7926)	Prec@1 33.594 (33.649)	Prec@5 64.844 (63.995)
Epoch: [9][3160/14090]	Time 0.778 (0.769)	Data 0.001 (0.002)	Loss 2.6112 (2.7926)	Prec@1 36.719 (33.644)	Prec@5 68.750 (63.994)
Epoch: [9][3170/14090]	Time 0.801 (0.769)	Data 0.001 (0.002)	Loss 2.6932 (2.7927)	Prec@1 35.938 (33.649)	Prec@5 62.500 (63.993)
Epoch: [9][3180/14090]	Time 0.749 (0.769)	Data 0.001 (0.002)	Loss 2.6960 (2.7925)	Prec@1 32.812 (33.654)	Prec@5 68.750 (64.001)
Epoch: [9][3190/14090]	Time 0.765 (0.769)	Data 0.001 (0.002)	Loss 2.9168 (2.7924)	Prec@1 28.906 (33.652)	Prec@5 63.281 (63.998)
Epoch: [9][3200/14090]	Time 0.757 (0.769)	Data 0.001 (0.002)	Loss 2.8300 (2.7923)	Prec@1 29.688 (33.650)	Prec@5 61.719 (64.003)
Epoch: [9][3210/14090]	Time 0.881 (0.769)	Data 0.001 (0.002)	Loss 2.7786 (2.7921)	Prec@1 32.812 (33.655)	Prec@5 67.969 (64.008)
Epoch: [9][3220/14090]	Time 0.744 (0.769)	Data 0.001 (0.002)	Loss 2.9637 (2.7923)	Prec@1 28.906 (33.655)	Prec@5 62.500 (64.008)
Epoch: [9][3230/14090]	Time 0.744 (0.769)	Data 0.001 (0.002)	Loss 2.8436 (2.7924)	Prec@1 30.469 (33.658)	Prec@5 60.156 (64.003)
Epoch: [9][3240/14090]	Time 0.746 (0.769)	Data 0.002 (0.002)	Loss 3.1589 (2.7926)	Prec@1 28.906 (33.656)	Prec@5 55.469 (63.999)
Epoch: [9][3250/14090]	Time 0.750 (0.769)	Data 0.001 (0.002)	Loss 2.7672 (2.7926)	Prec@1 32.031 (33.650)	Prec@5 64.844 (63.997)
Epoch: [9][3260/14090]	Time 0.751 (0.769)	Data 0.001 (0.002)	Loss 2.9812 (2.7926)	Prec@1 30.469 (33.657)	Prec@5 60.156 (63.999)
Epoch: [9][3270/14090]	Time 0.761 (0.769)	Data 0.001 (0.002)	Loss 2.8073 (2.7925)	Prec@1 39.062 (33.660)	Prec@5 67.188 (63.998)
Epoch: [9][3280/14090]	Time 0.879 (0.769)	Data 0.001 (0.002)	Loss 2.6515 (2.7922)	Prec@1 35.938 (33.661)	Prec@5 65.625 (64.006)
Epoch: [9][3290/14090]	Time 0.752 (0.769)	Data 0.001 (0.002)	Loss 2.9404 (2.7923)	Prec@1 28.906 (33.655)	Prec@5 58.594 (64.005)
Epoch: [9][3300/14090]	Time 0.776 (0.769)	Data 0.001 (0.002)	Loss 2.6414 (2.7925)	Prec@1 39.062 (33.658)	Prec@5 67.188 (64.004)
Epoch: [9][3310/14090]	Time 0.747 (0.769)	Data 0.001 (0.002)	Loss 2.8162 (2.7923)	Prec@1 38.281 (33.657)	Prec@5 62.500 (64.008)
Epoch: [9][3320/14090]	Time 0.746 (0.769)	Data 0.001 (0.002)	Loss 2.7320 (2.7923)	Prec@1 30.469 (33.653)	Prec@5 66.406 (64.007)
Epoch: [9][3330/14090]	Time 0.723 (0.769)	Data 0.001 (0.002)	Loss 2.9465 (2.7923)	Prec@1 28.125 (33.652)	Prec@5 60.938 (64.007)
Epoch: [9][3340/14090]	Time 0.776 (0.769)	Data 0.001 (0.002)	Loss 2.9170 (2.7922)	Prec@1 31.250 (33.651)	Prec@5 62.500 (64.013)
Epoch: [9][3350/14090]	Time 0.845 (0.769)	Data 0.001 (0.002)	Loss 2.7927 (2.7922)	Prec@1 32.031 (33.655)	Prec@5 66.406 (64.015)
Epoch: [9][3360/14090]	Time 0.737 (0.769)	Data 0.001 (0.002)	Loss 2.7152 (2.7920)	Prec@1 38.281 (33.658)	Prec@5 67.188 (64.019)
Epoch: [9][3370/14090]	Time 0.726 (0.769)	Data 0.001 (0.002)	Loss 2.7040 (2.7918)	Prec@1 35.156 (33.659)	Prec@5 67.188 (64.025)
Epoch: [9][3380/14090]	Time 0.747 (0.769)	Data 0.001 (0.002)	Loss 2.9277 (2.7919)	Prec@1 25.781 (33.658)	Prec@5 60.938 (64.022)
Epoch: [9][3390/14090]	Time 0.753 (0.769)	Data 0.001 (0.002)	Loss 2.8252 (2.7919)	Prec@1 36.719 (33.663)	Prec@5 61.719 (64.016)
Epoch: [9][3400/14090]	Time 0.764 (0.769)	Data 0.001 (0.002)	Loss 2.7307 (2.7918)	Prec@1 41.406 (33.665)	Prec@5 65.625 (64.018)
Epoch: [9][3410/14090]	Time 0.750 (0.769)	Data 0.001 (0.002)	Loss 2.6194 (2.7919)	Prec@1 34.375 (33.662)	Prec@5 67.188 (64.014)
Epoch: [9][3420/14090]	Time 0.876 (0.769)	Data 0.001 (0.002)	Loss 2.7783 (2.7921)	Prec@1 35.156 (33.665)	Prec@5 60.156 (64.012)
Epoch: [9][3430/14090]	Time 0.733 (0.769)	Data 0.001 (0.002)	Loss 2.6960 (2.7920)	Prec@1 31.250 (33.667)	Prec@5 65.625 (64.013)
Epoch: [9][3440/14090]	Time 0.734 (0.769)	Data 0.001 (0.002)	Loss 2.7664 (2.7920)	Prec@1 36.719 (33.669)	Prec@5 62.500 (64.007)
Epoch: [9][3450/14090]	Time 0.761 (0.769)	Data 0.001 (0.002)	Loss 2.8533 (2.7919)	Prec@1 32.031 (33.672)	Prec@5 58.594 (64.009)
Epoch: [9][3460/14090]	Time 0.761 (0.769)	Data 0.001 (0.002)	Loss 2.6131 (2.7915)	Prec@1 39.844 (33.681)	Prec@5 64.062 (64.012)
Epoch: [9][3470/14090]	Time 0.764 (0.769)	Data 0.001 (0.002)	Loss 2.8846 (2.7915)	Prec@1 29.688 (33.683)	Prec@5 62.500 (64.015)
Epoch: [9][3480/14090]	Time 0.731 (0.769)	Data 0.001 (0.002)	Loss 2.9517 (2.7914)	Prec@1 33.594 (33.681)	Prec@5 61.719 (64.018)
Epoch: [9][3490/14090]	Time 0.890 (0.769)	Data 0.001 (0.002)	Loss 2.8185 (2.7914)	Prec@1 25.781 (33.680)	Prec@5 64.062 (64.018)
Epoch: [9][3500/14090]	Time 0.737 (0.769)	Data 0.001 (0.002)	Loss 2.5444 (2.7913)	Prec@1 42.188 (33.683)	Prec@5 63.281 (64.020)
Epoch: [9][3510/14090]	Time 0.776 (0.769)	Data 0.001 (0.002)	Loss 2.7086 (2.7913)	Prec@1 36.719 (33.686)	Prec@5 67.188 (64.019)
Epoch: [9][3520/14090]	Time 0.779 (0.769)	Data 0.001 (0.002)	Loss 2.7859 (2.7913)	Prec@1 35.938 (33.685)	Prec@5 63.281 (64.019)
Epoch: [9][3530/14090]	Time 0.738 (0.769)	Data 0.001 (0.002)	Loss 2.7785 (2.7912)	Prec@1 31.250 (33.683)	Prec@5 61.719 (64.023)
Epoch: [9][3540/14090]	Time 0.754 (0.769)	Data 0.001 (0.002)	Loss 2.8127 (2.7913)	Prec@1 37.500 (33.682)	Prec@5 64.844 (64.021)
Epoch: [9][3550/14090]	Time 0.760 (0.769)	Data 0.001 (0.002)	Loss 2.8361 (2.7911)	Prec@1 33.594 (33.683)	Prec@5 57.812 (64.024)
Epoch: [9][3560/14090]	Time 0.869 (0.769)	Data 0.001 (0.002)	Loss 2.8993 (2.7911)	Prec@1 30.469 (33.680)	Prec@5 59.375 (64.026)
Epoch: [9][3570/14090]	Time 0.740 (0.769)	Data 0.001 (0.002)	Loss 2.7027 (2.7910)	Prec@1 33.594 (33.685)	Prec@5 67.969 (64.026)
Epoch: [9][3580/14090]	Time 0.744 (0.769)	Data 0.001 (0.002)	Loss 2.6598 (2.7910)	Prec@1 32.812 (33.685)	Prec@5 63.281 (64.026)
Epoch: [9][3590/14090]	Time 0.770 (0.769)	Data 0.001 (0.002)	Loss 2.8532 (2.7913)	Prec@1 32.812 (33.680)	Prec@5 59.375 (64.022)
Epoch: [9][3600/14090]	Time 0.761 (0.769)	Data 0.001 (0.002)	Loss 2.7185 (2.7916)	Prec@1 42.188 (33.674)	Prec@5 61.719 (64.015)
Epoch: [9][3610/14090]	Time 0.743 (0.769)	Data 0.001 (0.002)	Loss 2.9996 (2.7918)	Prec@1 25.000 (33.673)	Prec@5 60.156 (64.009)
Epoch: [9][3620/14090]	Time 0.758 (0.769)	Data 0.001 (0.002)	Loss 2.9281 (2.7918)	Prec@1 26.562 (33.677)	Prec@5 64.844 (64.012)
Epoch: [9][3630/14090]	Time 0.874 (0.769)	Data 0.001 (0.002)	Loss 2.5457 (2.7915)	Prec@1 39.844 (33.680)	Prec@5 67.188 (64.016)
Epoch: [9][3640/14090]	Time 0.745 (0.769)	Data 0.001 (0.002)	Loss 2.9239 (2.7919)	Prec@1 28.906 (33.673)	Prec@5 62.500 (64.007)
Epoch: [9][3650/14090]	Time 0.747 (0.769)	Data 0.003 (0.002)	Loss 3.2879 (2.7923)	Prec@1 25.000 (33.669)	Prec@5 52.344 (63.998)
Epoch: [9][3660/14090]	Time 0.730 (0.769)	Data 0.001 (0.002)	Loss 2.6960 (2.7924)	Prec@1 32.812 (33.669)	Prec@5 63.281 (63.999)
Epoch: [9][3670/14090]	Time 0.757 (0.769)	Data 0.001 (0.002)	Loss 2.6153 (2.7922)	Prec@1 37.500 (33.675)	Prec@5 67.969 (64.001)
Epoch: [9][3680/14090]	Time 0.758 (0.769)	Data 0.001 (0.002)	Loss 3.0511 (2.7923)	Prec@1 28.125 (33.674)	Prec@5 58.594 (63.992)
Epoch: [9][3690/14090]	Time 0.755 (0.769)	Data 0.001 (0.002)	Loss 3.1936 (2.7924)	Prec@1 21.875 (33.670)	Prec@5 56.250 (63.993)
Epoch: [9][3700/14090]	Time 0.896 (0.769)	Data 0.001 (0.002)	Loss 2.9106 (2.7924)	Prec@1 34.375 (33.667)	Prec@5 57.031 (63.990)
Epoch: [9][3710/14090]	Time 0.747 (0.769)	Data 0.001 (0.002)	Loss 2.8502 (2.7923)	Prec@1 33.594 (33.669)	Prec@5 66.406 (63.994)
Epoch: [9][3720/14090]	Time 0.755 (0.768)	Data 0.001 (0.002)	Loss 2.8767 (2.7924)	Prec@1 33.594 (33.669)	Prec@5 66.406 (63.993)
Epoch: [9][3730/14090]	Time 0.763 (0.769)	Data 0.001 (0.002)	Loss 2.9630 (2.7922)	Prec@1 32.812 (33.674)	Prec@5 65.625 (63.999)
Epoch: [9][3740/14090]	Time 0.754 (0.769)	Data 0.001 (0.002)	Loss 2.6301 (2.7924)	Prec@1 35.156 (33.670)	Prec@5 68.750 (63.995)
Epoch: [9][3750/14090]	Time 0.722 (0.769)	Data 0.001 (0.002)	Loss 2.6011 (2.7925)	Prec@1 35.938 (33.664)	Prec@5 67.188 (63.991)
Epoch: [9][3760/14090]	Time 0.773 (0.769)	Data 0.001 (0.002)	Loss 2.7537 (2.7926)	Prec@1 35.938 (33.659)	Prec@5 64.844 (63.986)
Epoch: [9][3770/14090]	Time 0.888 (0.769)	Data 0.001 (0.002)	Loss 2.7702 (2.7929)	Prec@1 32.031 (33.654)	Prec@5 63.281 (63.979)
Epoch: [9][3780/14090]	Time 0.732 (0.769)	Data 0.001 (0.002)	Loss 2.9701 (2.7929)	Prec@1 30.469 (33.652)	Prec@5 60.938 (63.979)
Epoch: [9][3790/14090]	Time 0.747 (0.768)	Data 0.001 (0.002)	Loss 2.7694 (2.7928)	Prec@1 38.281 (33.653)	Prec@5 69.531 (63.985)
Epoch: [9][3800/14090]	Time 0.763 (0.769)	Data 0.001 (0.002)	Loss 2.4969 (2.7927)	Prec@1 39.844 (33.658)	Prec@5 67.969 (63.984)
Epoch: [9][3810/14090]	Time 0.752 (0.768)	Data 0.001 (0.002)	Loss 3.2364 (2.7928)	Prec@1 26.562 (33.660)	Prec@5 54.688 (63.984)
Epoch: [9][3820/14090]	Time 0.733 (0.768)	Data 0.001 (0.002)	Loss 2.5563 (2.7928)	Prec@1 36.719 (33.659)	Prec@5 69.531 (63.984)
Epoch: [9][3830/14090]	Time 0.757 (0.768)	Data 0.001 (0.002)	Loss 3.0393 (2.7929)	Prec@1 30.469 (33.658)	Prec@5 58.594 (63.980)
Epoch: [9][3840/14090]	Time 0.879 (0.768)	Data 0.001 (0.002)	Loss 2.5560 (2.7930)	Prec@1 35.156 (33.657)	Prec@5 65.625 (63.979)
Epoch: [9][3850/14090]	Time 0.750 (0.768)	Data 0.001 (0.002)	Loss 2.9228 (2.7931)	Prec@1 31.250 (33.655)	Prec@5 61.719 (63.983)
Epoch: [9][3860/14090]	Time 0.741 (0.768)	Data 0.001 (0.002)	Loss 2.7631 (2.7931)	Prec@1 36.719 (33.654)	Prec@5 65.625 (63.985)
Epoch: [9][3870/14090]	Time 0.733 (0.768)	Data 0.001 (0.002)	Loss 2.8027 (2.7930)	Prec@1 32.812 (33.653)	Prec@5 65.625 (63.987)
Epoch: [9][3880/14090]	Time 0.761 (0.768)	Data 0.001 (0.002)	Loss 2.8314 (2.7927)	Prec@1 32.031 (33.658)	Prec@5 63.281 (63.992)
Epoch: [9][3890/14090]	Time 0.743 (0.768)	Data 0.001 (0.002)	Loss 2.6172 (2.7927)	Prec@1 31.250 (33.661)	Prec@5 67.188 (63.990)
Epoch: [9][3900/14090]	Time 0.748 (0.768)	Data 0.001 (0.002)	Loss 2.8483 (2.7928)	Prec@1 32.031 (33.660)	Prec@5 61.719 (63.983)
Epoch: [9][3910/14090]	Time 0.850 (0.768)	Data 0.001 (0.002)	Loss 2.8485 (2.7930)	Prec@1 32.031 (33.656)	Prec@5 60.938 (63.982)
Epoch: [9][3920/14090]	Time 0.732 (0.768)	Data 0.001 (0.002)	Loss 2.9741 (2.7931)	Prec@1 30.469 (33.654)	Prec@5 57.812 (63.977)
Epoch: [9][3930/14090]	Time 0.733 (0.768)	Data 0.001 (0.002)	Loss 3.0407 (2.7931)	Prec@1 30.469 (33.654)	Prec@5 61.719 (63.979)
Epoch: [9][3940/14090]	Time 0.752 (0.768)	Data 0.001 (0.002)	Loss 2.8857 (2.7928)	Prec@1 29.688 (33.658)	Prec@5 64.062 (63.986)
Epoch: [9][3950/14090]	Time 0.760 (0.768)	Data 0.001 (0.002)	Loss 2.9429 (2.7928)	Prec@1 31.250 (33.658)	Prec@5 61.719 (63.985)
Epoch: [9][3960/14090]	Time 0.747 (0.768)	Data 0.001 (0.002)	Loss 2.8465 (2.7928)	Prec@1 32.812 (33.659)	Prec@5 61.719 (63.984)
Epoch: [9][3970/14090]	Time 0.757 (0.768)	Data 0.001 (0.002)	Loss 2.5779 (2.7929)	Prec@1 37.500 (33.660)	Prec@5 62.500 (63.984)
Epoch: [9][3980/14090]	Time 0.886 (0.768)	Data 0.001 (0.002)	Loss 2.8812 (2.7931)	Prec@1 34.375 (33.657)	Prec@5 65.625 (63.983)
Epoch: [9][3990/14090]	Time 0.731 (0.768)	Data 0.001 (0.002)	Loss 2.7626 (2.7930)	Prec@1 37.500 (33.655)	Prec@5 68.750 (63.986)
Epoch: [9][4000/14090]	Time 0.745 (0.768)	Data 0.001 (0.002)	Loss 2.7216 (2.7931)	Prec@1 34.375 (33.652)	Prec@5 63.281 (63.989)
Epoch: [9][4010/14090]	Time 0.760 (0.768)	Data 0.001 (0.002)	Loss 2.6004 (2.7928)	Prec@1 38.281 (33.657)	Prec@5 64.062 (63.996)
Epoch: [9][4020/14090]	Time 0.735 (0.768)	Data 0.001 (0.002)	Loss 2.7389 (2.7929)	Prec@1 39.844 (33.657)	Prec@5 64.062 (63.993)
Epoch: [9][4030/14090]	Time 0.748 (0.768)	Data 0.001 (0.002)	Loss 2.7964 (2.7928)	Prec@1 38.281 (33.658)	Prec@5 62.500 (63.990)
Epoch: [9][4040/14090]	Time 0.732 (0.768)	Data 0.001 (0.002)	Loss 2.6201 (2.7929)	Prec@1 45.312 (33.658)	Prec@5 68.750 (63.990)
Epoch: [9][4050/14090]	Time 0.886 (0.768)	Data 0.001 (0.002)	Loss 2.9998 (2.7930)	Prec@1 29.688 (33.659)	Prec@5 61.719 (63.989)
Epoch: [9][4060/14090]	Time 0.728 (0.768)	Data 0.001 (0.002)	Loss 2.8340 (2.7929)	Prec@1 34.375 (33.661)	Prec@5 64.844 (63.990)
Epoch: [9][4070/14090]	Time 0.758 (0.768)	Data 0.001 (0.002)	Loss 2.6871 (2.7929)	Prec@1 32.812 (33.660)	Prec@5 62.500 (63.983)
Epoch: [9][4080/14090]	Time 0.768 (0.768)	Data 0.001 (0.002)	Loss 2.7474 (2.7930)	Prec@1 34.375 (33.666)	Prec@5 69.531 (63.984)
Epoch: [9][4090/14090]	Time 0.751 (0.768)	Data 0.002 (0.002)	Loss 2.7699 (2.7931)	Prec@1 30.469 (33.661)	Prec@5 63.281 (63.985)
Epoch: [9][4100/14090]	Time 0.755 (0.768)	Data 0.001 (0.002)	Loss 3.1308 (2.7929)	Prec@1 29.688 (33.666)	Prec@5 51.562 (63.987)
Epoch: [9][4110/14090]	Time 0.747 (0.768)	Data 0.001 (0.002)	Loss 2.8974 (2.7931)	Prec@1 33.594 (33.661)	Prec@5 61.719 (63.983)
Epoch: [9][4120/14090]	Time 0.896 (0.768)	Data 0.001 (0.002)	Loss 2.6873 (2.7930)	Prec@1 37.500 (33.667)	Prec@5 64.062 (63.985)
Epoch: [9][4130/14090]	Time 0.748 (0.768)	Data 0.001 (0.002)	Loss 2.8346 (2.7930)	Prec@1 29.688 (33.667)	Prec@5 63.281 (63.989)
Epoch: [9][4140/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 2.8801 (2.7932)	Prec@1 31.250 (33.662)	Prec@5 67.188 (63.986)
Epoch: [9][4150/14090]	Time 0.760 (0.768)	Data 0.001 (0.002)	Loss 2.8607 (2.7931)	Prec@1 35.156 (33.662)	Prec@5 64.844 (63.989)
Epoch: [9][4160/14090]	Time 0.754 (0.768)	Data 0.001 (0.002)	Loss 3.0171 (2.7933)	Prec@1 31.250 (33.658)	Prec@5 55.469 (63.989)
Epoch: [9][4170/14090]	Time 0.746 (0.768)	Data 0.002 (0.002)	Loss 2.7392 (2.7934)	Prec@1 36.719 (33.659)	Prec@5 60.938 (63.986)
Epoch: [9][4180/14090]	Time 0.735 (0.768)	Data 0.001 (0.002)	Loss 3.0062 (2.7934)	Prec@1 28.125 (33.658)	Prec@5 55.469 (63.985)
Epoch: [9][4190/14090]	Time 0.901 (0.768)	Data 0.001 (0.002)	Loss 2.6638 (2.7936)	Prec@1 40.625 (33.656)	Prec@5 64.062 (63.985)
Epoch: [9][4200/14090]	Time 0.772 (0.768)	Data 0.001 (0.002)	Loss 2.5420 (2.7934)	Prec@1 34.375 (33.657)	Prec@5 65.625 (63.988)
Epoch: [9][4210/14090]	Time 0.775 (0.768)	Data 0.001 (0.002)	Loss 2.7315 (2.7935)	Prec@1 34.375 (33.656)	Prec@5 61.719 (63.983)
Epoch: [9][4220/14090]	Time 0.764 (0.768)	Data 0.001 (0.002)	Loss 2.9114 (2.7935)	Prec@1 37.500 (33.655)	Prec@5 59.375 (63.986)
Epoch: [9][4230/14090]	Time 0.734 (0.768)	Data 0.001 (0.002)	Loss 2.5567 (2.7933)	Prec@1 40.625 (33.661)	Prec@5 65.625 (63.990)
Epoch: [9][4240/14090]	Time 0.759 (0.768)	Data 0.001 (0.002)	Loss 2.5593 (2.7933)	Prec@1 35.938 (33.661)	Prec@5 70.312 (63.988)
Epoch: [9][4250/14090]	Time 0.767 (0.768)	Data 0.001 (0.002)	Loss 2.6555 (2.7932)	Prec@1 37.500 (33.668)	Prec@5 67.188 (63.992)
Epoch: [9][4260/14090]	Time 0.871 (0.768)	Data 0.001 (0.002)	Loss 2.5600 (2.7932)	Prec@1 42.969 (33.671)	Prec@5 67.969 (63.991)
Epoch: [9][4270/14090]	Time 0.755 (0.768)	Data 0.001 (0.002)	Loss 2.9281 (2.7932)	Prec@1 34.375 (33.674)	Prec@5 61.719 (63.990)
Epoch: [9][4280/14090]	Time 0.732 (0.768)	Data 0.001 (0.002)	Loss 2.7068 (2.7932)	Prec@1 32.812 (33.673)	Prec@5 67.969 (63.990)
Epoch: [9][4290/14090]	Time 0.736 (0.768)	Data 0.001 (0.002)	Loss 2.9931 (2.7933)	Prec@1 34.375 (33.672)	Prec@5 56.250 (63.986)
Epoch: [9][4300/14090]	Time 0.780 (0.768)	Data 0.001 (0.002)	Loss 2.8386 (2.7935)	Prec@1 31.250 (33.668)	Prec@5 65.625 (63.985)
Epoch: [9][4310/14090]	Time 0.746 (0.768)	Data 0.001 (0.002)	Loss 2.7053 (2.7934)	Prec@1 34.375 (33.671)	Prec@5 66.406 (63.987)
Epoch: [9][4320/14090]	Time 0.733 (0.768)	Data 0.001 (0.002)	Loss 3.0753 (2.7934)	Prec@1 26.562 (33.671)	Prec@5 58.594 (63.984)
Epoch: [9][4330/14090]	Time 0.870 (0.768)	Data 0.001 (0.002)	Loss 2.6795 (2.7934)	Prec@1 35.938 (33.671)	Prec@5 67.188 (63.982)
Epoch: [9][4340/14090]	Time 0.738 (0.768)	Data 0.001 (0.002)	Loss 2.8679 (2.7935)	Prec@1 34.375 (33.674)	Prec@5 62.500 (63.978)
Epoch: [9][4350/14090]	Time 0.773 (0.768)	Data 0.001 (0.002)	Loss 2.9004 (2.7935)	Prec@1 28.125 (33.674)	Prec@5 59.375 (63.977)
Epoch: [9][4360/14090]	Time 0.732 (0.768)	Data 0.001 (0.002)	Loss 2.8277 (2.7936)	Prec@1 35.938 (33.675)	Prec@5 67.969 (63.977)
Epoch: [9][4370/14090]	Time 0.762 (0.768)	Data 0.001 (0.002)	Loss 2.6745 (2.7934)	Prec@1 40.625 (33.679)	Prec@5 69.531 (63.984)
Epoch: [9][4380/14090]	Time 0.764 (0.768)	Data 0.001 (0.002)	Loss 2.6520 (2.7933)	Prec@1 35.156 (33.683)	Prec@5 66.406 (63.988)
Epoch: [9][4390/14090]	Time 0.735 (0.768)	Data 0.001 (0.002)	Loss 2.9395 (2.7933)	Prec@1 29.688 (33.680)	Prec@5 60.938 (63.990)
Epoch: [9][4400/14090]	Time 0.854 (0.768)	Data 0.001 (0.002)	Loss 2.4548 (2.7933)	Prec@1 42.188 (33.683)	Prec@5 69.531 (63.991)
Epoch: [9][4410/14090]	Time 0.748 (0.768)	Data 0.001 (0.002)	Loss 2.6850 (2.7932)	Prec@1 34.375 (33.682)	Prec@5 62.500 (63.992)
Epoch: [9][4420/14090]	Time 0.731 (0.768)	Data 0.001 (0.002)	Loss 3.0410 (2.7933)	Prec@1 32.031 (33.682)	Prec@5 56.250 (63.988)
Epoch: [9][4430/14090]	Time 0.745 (0.768)	Data 0.001 (0.002)	Loss 2.7724 (2.7933)	Prec@1 36.719 (33.684)	Prec@5 69.531 (63.991)
Epoch: [9][4440/14090]	Time 0.761 (0.768)	Data 0.001 (0.002)	Loss 2.8066 (2.7931)	Prec@1 27.344 (33.685)	Prec@5 64.844 (63.997)
Epoch: [9][4450/14090]	Time 0.759 (0.768)	Data 0.001 (0.002)	Loss 2.8351 (2.7934)	Prec@1 30.469 (33.678)	Prec@5 64.062 (63.987)
Epoch: [9][4460/14090]	Time 0.745 (0.768)	Data 0.001 (0.002)	Loss 2.6643 (2.7934)	Prec@1 31.250 (33.677)	Prec@5 67.188 (63.985)
Epoch: [9][4470/14090]	Time 0.866 (0.768)	Data 0.001 (0.002)	Loss 2.8556 (2.7934)	Prec@1 31.250 (33.675)	Prec@5 62.500 (63.986)
Epoch: [9][4480/14090]	Time 0.741 (0.768)	Data 0.001 (0.002)	Loss 2.5960 (2.7932)	Prec@1 39.844 (33.683)	Prec@5 69.531 (63.992)
Epoch: [9][4490/14090]	Time 0.768 (0.768)	Data 0.001 (0.002)	Loss 2.9692 (2.7935)	Prec@1 25.781 (33.678)	Prec@5 60.156 (63.984)
Epoch: [9][4500/14090]	Time 0.763 (0.768)	Data 0.001 (0.002)	Loss 2.9240 (2.7935)	Prec@1 32.812 (33.677)	Prec@5 62.500 (63.981)
Epoch: [9][4510/14090]	Time 0.765 (0.768)	Data 0.001 (0.002)	Loss 2.4957 (2.7937)	Prec@1 39.062 (33.674)	Prec@5 67.188 (63.980)
Epoch: [9][4520/14090]	Time 0.746 (0.768)	Data 0.001 (0.002)	Loss 2.7100 (2.7939)	Prec@1 34.375 (33.670)	Prec@5 65.625 (63.978)
Epoch: [9][4530/14090]	Time 0.744 (0.768)	Data 0.001 (0.002)	Loss 2.8385 (2.7939)	Prec@1 31.250 (33.664)	Prec@5 64.844 (63.977)
Epoch: [9][4540/14090]	Time 0.864 (0.768)	Data 0.001 (0.002)	Loss 2.8917 (2.7940)	Prec@1 37.500 (33.663)	Prec@5 62.500 (63.975)
Epoch: [9][4550/14090]	Time 0.753 (0.768)	Data 0.001 (0.002)	Loss 2.9045 (2.7942)	Prec@1 26.562 (33.659)	Prec@5 64.844 (63.975)
Epoch: [9][4560/14090]	Time 0.729 (0.768)	Data 0.001 (0.002)	Loss 2.5205 (2.7942)	Prec@1 39.062 (33.660)	Prec@5 71.094 (63.980)
Epoch: [9][4570/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 2.7127 (2.7943)	Prec@1 38.281 (33.656)	Prec@5 62.500 (63.974)
Epoch: [9][4580/14090]	Time 0.734 (0.768)	Data 0.001 (0.002)	Loss 3.1253 (2.7945)	Prec@1 38.281 (33.655)	Prec@5 56.250 (63.967)
Epoch: [9][4590/14090]	Time 0.759 (0.768)	Data 0.001 (0.002)	Loss 2.9996 (2.7947)	Prec@1 29.688 (33.651)	Prec@5 59.375 (63.963)
Epoch: [9][4600/14090]	Time 0.747 (0.768)	Data 0.001 (0.002)	Loss 2.8472 (2.7948)	Prec@1 35.938 (33.655)	Prec@5 64.844 (63.958)
Epoch: [9][4610/14090]	Time 0.864 (0.768)	Data 0.001 (0.002)	Loss 2.7208 (2.7947)	Prec@1 30.469 (33.657)	Prec@5 63.281 (63.962)
Epoch: [9][4620/14090]	Time 0.718 (0.768)	Data 0.001 (0.002)	Loss 2.7159 (2.7947)	Prec@1 30.469 (33.655)	Prec@5 67.188 (63.962)
Epoch: [9][4630/14090]	Time 0.769 (0.768)	Data 0.001 (0.002)	Loss 2.5250 (2.7946)	Prec@1 35.938 (33.658)	Prec@5 71.094 (63.963)
Epoch: [9][4640/14090]	Time 0.727 (0.768)	Data 0.001 (0.002)	Loss 2.8017 (2.7946)	Prec@1 38.281 (33.662)	Prec@5 64.062 (63.962)
Epoch: [9][4650/14090]	Time 0.732 (0.768)	Data 0.001 (0.002)	Loss 2.6350 (2.7947)	Prec@1 38.281 (33.659)	Prec@5 67.969 (63.958)
Epoch: [9][4660/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 2.7888 (2.7946)	Prec@1 32.812 (33.661)	Prec@5 66.406 (63.964)
Epoch: [9][4670/14090]	Time 0.727 (0.768)	Data 0.001 (0.002)	Loss 2.8383 (2.7946)	Prec@1 33.594 (33.662)	Prec@5 65.625 (63.967)
Epoch: [9][4680/14090]	Time 0.902 (0.768)	Data 0.001 (0.002)	Loss 2.6721 (2.7947)	Prec@1 39.062 (33.662)	Prec@5 66.406 (63.964)
Epoch: [9][4690/14090]	Time 0.739 (0.768)	Data 0.001 (0.002)	Loss 2.9092 (2.7949)	Prec@1 32.812 (33.659)	Prec@5 58.594 (63.960)
Epoch: [9][4700/14090]	Time 0.760 (0.768)	Data 0.001 (0.002)	Loss 2.8845 (2.7949)	Prec@1 31.250 (33.659)	Prec@5 61.719 (63.961)
Epoch: [9][4710/14090]	Time 0.732 (0.768)	Data 0.001 (0.002)	Loss 2.9205 (2.7949)	Prec@1 35.938 (33.661)	Prec@5 61.719 (63.958)
Epoch: [9][4720/14090]	Time 0.760 (0.768)	Data 0.001 (0.002)	Loss 3.1016 (2.7951)	Prec@1 34.375 (33.662)	Prec@5 60.938 (63.959)
Epoch: [9][4730/14090]	Time 0.756 (0.768)	Data 0.001 (0.002)	Loss 3.1357 (2.7952)	Prec@1 25.781 (33.658)	Prec@5 58.594 (63.955)
Epoch: [9][4740/14090]	Time 0.748 (0.768)	Data 0.001 (0.002)	Loss 2.8390 (2.7951)	Prec@1 36.719 (33.662)	Prec@5 56.250 (63.958)
Epoch: [9][4750/14090]	Time 0.846 (0.768)	Data 0.001 (0.002)	Loss 2.9158 (2.7953)	Prec@1 31.250 (33.658)	Prec@5 64.062 (63.954)
Epoch: [9][4760/14090]	Time 0.769 (0.768)	Data 0.001 (0.002)	Loss 2.7614 (2.7955)	Prec@1 37.500 (33.655)	Prec@5 61.719 (63.953)
Epoch: [9][4770/14090]	Time 0.744 (0.768)	Data 0.001 (0.002)	Loss 2.8409 (2.7956)	Prec@1 37.500 (33.655)	Prec@5 60.938 (63.949)
Epoch: [9][4780/14090]	Time 0.743 (0.768)	Data 0.001 (0.002)	Loss 2.6950 (2.7954)	Prec@1 39.844 (33.655)	Prec@5 65.625 (63.954)
Epoch: [9][4790/14090]	Time 0.741 (0.768)	Data 0.001 (0.002)	Loss 2.8137 (2.7954)	Prec@1 33.594 (33.653)	Prec@5 61.719 (63.952)
Epoch: [9][4800/14090]	Time 0.754 (0.768)	Data 0.001 (0.002)	Loss 2.8643 (2.7955)	Prec@1 29.688 (33.650)	Prec@5 60.156 (63.949)
Epoch: [9][4810/14090]	Time 0.747 (0.768)	Data 0.001 (0.002)	Loss 2.6661 (2.7955)	Prec@1 36.719 (33.652)	Prec@5 71.875 (63.951)
Epoch: [9][4820/14090]	Time 0.874 (0.768)	Data 0.001 (0.002)	Loss 2.5525 (2.7953)	Prec@1 39.844 (33.655)	Prec@5 69.531 (63.955)
Epoch: [9][4830/14090]	Time 0.744 (0.768)	Data 0.001 (0.002)	Loss 2.4406 (2.7953)	Prec@1 36.719 (33.656)	Prec@5 71.875 (63.955)
Epoch: [9][4840/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 2.6771 (2.7952)	Prec@1 37.500 (33.658)	Prec@5 63.281 (63.958)
Epoch: [9][4850/14090]	Time 0.755 (0.768)	Data 0.001 (0.002)	Loss 3.1842 (2.7953)	Prec@1 25.000 (33.653)	Prec@5 57.812 (63.956)
Epoch: [9][4860/14090]	Time 0.753 (0.768)	Data 0.001 (0.002)	Loss 2.7475 (2.7953)	Prec@1 35.156 (33.655)	Prec@5 66.406 (63.957)
Epoch: [9][4870/14090]	Time 0.771 (0.768)	Data 0.001 (0.002)	Loss 2.7679 (2.7953)	Prec@1 33.594 (33.651)	Prec@5 64.062 (63.954)
Epoch: [9][4880/14090]	Time 0.758 (0.768)	Data 0.001 (0.002)	Loss 2.7866 (2.7952)	Prec@1 30.469 (33.649)	Prec@5 65.625 (63.955)
Epoch: [9][4890/14090]	Time 0.869 (0.768)	Data 0.001 (0.002)	Loss 2.7699 (2.7954)	Prec@1 31.250 (33.646)	Prec@5 65.625 (63.951)
Epoch: [9][4900/14090]	Time 0.739 (0.768)	Data 0.001 (0.002)	Loss 3.0151 (2.7953)	Prec@1 27.344 (33.650)	Prec@5 57.812 (63.951)
Epoch: [9][4910/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 2.8767 (2.7955)	Prec@1 32.031 (33.648)	Prec@5 60.156 (63.946)
Epoch: [9][4920/14090]	Time 0.733 (0.768)	Data 0.001 (0.002)	Loss 2.5477 (2.7955)	Prec@1 39.844 (33.648)	Prec@5 70.312 (63.944)
Epoch: [9][4930/14090]	Time 0.771 (0.768)	Data 0.001 (0.002)	Loss 2.8458 (2.7956)	Prec@1 31.250 (33.643)	Prec@5 61.719 (63.943)
Epoch: [9][4940/14090]	Time 0.762 (0.768)	Data 0.001 (0.002)	Loss 2.7990 (2.7956)	Prec@1 32.812 (33.641)	Prec@5 60.938 (63.941)
Epoch: [9][4950/14090]	Time 0.772 (0.768)	Data 0.001 (0.002)	Loss 2.6221 (2.7954)	Prec@1 38.281 (33.642)	Prec@5 64.844 (63.943)
Epoch: [9][4960/14090]	Time 0.899 (0.768)	Data 0.001 (0.002)	Loss 2.9956 (2.7953)	Prec@1 30.469 (33.641)	Prec@5 60.938 (63.946)
Epoch: [9][4970/14090]	Time 0.732 (0.768)	Data 0.001 (0.002)	Loss 2.4954 (2.7952)	Prec@1 35.156 (33.644)	Prec@5 69.531 (63.948)
Epoch: [9][4980/14090]	Time 0.722 (0.768)	Data 0.001 (0.002)	Loss 2.8360 (2.7953)	Prec@1 41.406 (33.646)	Prec@5 68.750 (63.949)
Epoch: [9][4990/14090]	Time 0.748 (0.768)	Data 0.001 (0.002)	Loss 2.7404 (2.7952)	Prec@1 33.594 (33.648)	Prec@5 62.500 (63.949)
Epoch: [9][5000/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 2.8425 (2.7953)	Prec@1 34.375 (33.647)	Prec@5 63.281 (63.944)
Epoch: [9][5010/14090]	Time 0.746 (0.768)	Data 0.001 (0.002)	Loss 2.7341 (2.7952)	Prec@1 38.281 (33.648)	Prec@5 65.625 (63.945)
Epoch: [9][5020/14090]	Time 0.753 (0.768)	Data 0.001 (0.002)	Loss 2.6375 (2.7953)	Prec@1 33.594 (33.643)	Prec@5 65.625 (63.943)
Epoch: [9][5030/14090]	Time 0.874 (0.768)	Data 0.001 (0.002)	Loss 2.8211 (2.7950)	Prec@1 40.625 (33.648)	Prec@5 60.938 (63.948)
Epoch: [9][5040/14090]	Time 0.731 (0.768)	Data 0.001 (0.002)	Loss 2.6806 (2.7950)	Prec@1 35.156 (33.646)	Prec@5 69.531 (63.950)
Epoch: [9][5050/14090]	Time 0.745 (0.768)	Data 0.001 (0.002)	Loss 2.7020 (2.7951)	Prec@1 39.062 (33.642)	Prec@5 66.406 (63.949)
Epoch: [9][5060/14090]	Time 0.752 (0.768)	Data 0.001 (0.002)	Loss 2.8277 (2.7952)	Prec@1 30.469 (33.637)	Prec@5 62.500 (63.943)
Epoch: [9][5070/14090]	Time 0.745 (0.768)	Data 0.001 (0.002)	Loss 2.7185 (2.7952)	Prec@1 35.938 (33.632)	Prec@5 67.188 (63.944)
Epoch: [9][5080/14090]	Time 0.754 (0.768)	Data 0.001 (0.002)	Loss 2.8989 (2.7953)	Prec@1 36.719 (33.632)	Prec@5 57.812 (63.940)
Epoch: [9][5090/14090]	Time 0.769 (0.768)	Data 0.001 (0.002)	Loss 2.7160 (2.7951)	Prec@1 35.938 (33.633)	Prec@5 67.969 (63.945)
Epoch: [9][5100/14090]	Time 0.917 (0.768)	Data 0.001 (0.002)	Loss 2.8084 (2.7951)	Prec@1 34.375 (33.635)	Prec@5 61.719 (63.943)
Epoch: [9][5110/14090]	Time 0.753 (0.768)	Data 0.001 (0.002)	Loss 2.9078 (2.7952)	Prec@1 26.562 (33.634)	Prec@5 60.938 (63.945)
Epoch: [9][5120/14090]	Time 0.761 (0.768)	Data 0.001 (0.002)	Loss 3.2559 (2.7952)	Prec@1 21.094 (33.632)	Prec@5 58.594 (63.948)
Epoch: [9][5130/14090]	Time 0.748 (0.768)	Data 0.001 (0.002)	Loss 2.8445 (2.7953)	Prec@1 32.031 (33.631)	Prec@5 56.250 (63.946)
Epoch: [9][5140/14090]	Time 0.761 (0.768)	Data 0.001 (0.002)	Loss 3.0362 (2.7953)	Prec@1 25.781 (33.632)	Prec@5 58.594 (63.944)
Epoch: [9][5150/14090]	Time 0.758 (0.768)	Data 0.001 (0.002)	Loss 2.4982 (2.7951)	Prec@1 40.625 (33.634)	Prec@5 69.531 (63.948)
Epoch: [9][5160/14090]	Time 0.752 (0.768)	Data 0.001 (0.002)	Loss 2.6340 (2.7951)	Prec@1 41.406 (33.635)	Prec@5 61.719 (63.946)
Epoch: [9][5170/14090]	Time 0.904 (0.768)	Data 0.002 (0.002)	Loss 2.9201 (2.7951)	Prec@1 30.469 (33.631)	Prec@5 61.719 (63.947)
Epoch: [9][5180/14090]	Time 0.763 (0.768)	Data 0.001 (0.002)	Loss 2.6641 (2.7950)	Prec@1 33.594 (33.632)	Prec@5 67.969 (63.952)
Epoch: [9][5190/14090]	Time 0.764 (0.768)	Data 0.001 (0.002)	Loss 2.9652 (2.7951)	Prec@1 22.656 (33.630)	Prec@5 60.938 (63.950)
Epoch: [9][5200/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 2.8243 (2.7952)	Prec@1 32.812 (33.628)	Prec@5 64.844 (63.950)
Epoch: [9][5210/14090]	Time 0.760 (0.768)	Data 0.001 (0.002)	Loss 2.6129 (2.7952)	Prec@1 34.375 (33.629)	Prec@5 64.844 (63.947)
Epoch: [9][5220/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 2.8488 (2.7952)	Prec@1 32.812 (33.633)	Prec@5 60.938 (63.947)
Epoch: [9][5230/14090]	Time 0.779 (0.768)	Data 0.001 (0.002)	Loss 2.7402 (2.7951)	Prec@1 33.594 (33.632)	Prec@5 65.625 (63.947)
Epoch: [9][5240/14090]	Time 0.878 (0.768)	Data 0.001 (0.002)	Loss 2.9948 (2.7954)	Prec@1 32.031 (33.626)	Prec@5 59.375 (63.944)
Epoch: [9][5250/14090]	Time 0.755 (0.768)	Data 0.001 (0.002)	Loss 2.7087 (2.7954)	Prec@1 32.812 (33.625)	Prec@5 67.969 (63.944)
Epoch: [9][5260/14090]	Time 0.747 (0.768)	Data 0.001 (0.002)	Loss 2.6352 (2.7953)	Prec@1 36.719 (33.626)	Prec@5 66.406 (63.946)
Epoch: [9][5270/14090]	Time 0.749 (0.768)	Data 0.001 (0.002)	Loss 2.8725 (2.7953)	Prec@1 25.000 (33.623)	Prec@5 61.719 (63.945)
Epoch: [9][5280/14090]	Time 0.762 (0.768)	Data 0.001 (0.002)	Loss 2.6513 (2.7954)	Prec@1 35.156 (33.621)	Prec@5 64.062 (63.943)
Epoch: [9][5290/14090]	Time 0.741 (0.768)	Data 0.001 (0.002)	Loss 2.8354 (2.7954)	Prec@1 31.250 (33.621)	Prec@5 64.062 (63.941)
Epoch: [9][5300/14090]	Time 0.754 (0.768)	Data 0.001 (0.002)	Loss 2.7503 (2.7955)	Prec@1 32.031 (33.619)	Prec@5 64.062 (63.939)
Epoch: [9][5310/14090]	Time 0.859 (0.768)	Data 0.001 (0.002)	Loss 2.4820 (2.7955)	Prec@1 44.531 (33.620)	Prec@5 72.656 (63.940)
Epoch: [9][5320/14090]	Time 0.746 (0.768)	Data 0.001 (0.002)	Loss 2.7896 (2.7956)	Prec@1 32.031 (33.616)	Prec@5 63.281 (63.938)
Epoch: [9][5330/14090]	Time 0.756 (0.768)	Data 0.001 (0.002)	Loss 2.6794 (2.7955)	Prec@1 35.938 (33.619)	Prec@5 66.406 (63.942)
Epoch: [9][5340/14090]	Time 0.759 (0.768)	Data 0.001 (0.002)	Loss 2.8119 (2.7955)	Prec@1 32.031 (33.617)	Prec@5 67.188 (63.943)
Epoch: [9][5350/14090]	Time 0.739 (0.768)	Data 0.001 (0.002)	Loss 2.7371 (2.7954)	Prec@1 34.375 (33.618)	Prec@5 61.719 (63.947)
Epoch: [9][5360/14090]	Time 0.748 (0.768)	Data 0.001 (0.002)	Loss 3.2819 (2.7955)	Prec@1 29.688 (33.618)	Prec@5 58.594 (63.949)
Epoch: [9][5370/14090]	Time 0.767 (0.768)	Data 0.001 (0.002)	Loss 2.6882 (2.7955)	Prec@1 33.594 (33.617)	Prec@5 63.281 (63.947)
Epoch: [9][5380/14090]	Time 0.889 (0.768)	Data 0.001 (0.002)	Loss 2.7458 (2.7955)	Prec@1 38.281 (33.616)	Prec@5 69.531 (63.948)
Epoch: [9][5390/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 2.8520 (2.7955)	Prec@1 34.375 (33.618)	Prec@5 63.281 (63.951)
Epoch: [9][5400/14090]	Time 0.734 (0.768)	Data 0.001 (0.002)	Loss 3.1311 (2.7955)	Prec@1 23.438 (33.619)	Prec@5 52.344 (63.951)
Epoch: [9][5410/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 2.4700 (2.7956)	Prec@1 34.375 (33.620)	Prec@5 73.438 (63.950)
Epoch: [9][5420/14090]	Time 0.752 (0.768)	Data 0.001 (0.002)	Loss 2.9303 (2.7956)	Prec@1 29.688 (33.622)	Prec@5 65.625 (63.951)
Epoch: [9][5430/14090]	Time 0.753 (0.768)	Data 0.001 (0.002)	Loss 2.7705 (2.7954)	Prec@1 35.156 (33.624)	Prec@5 64.844 (63.952)
Epoch: [9][5440/14090]	Time 0.759 (0.768)	Data 0.001 (0.002)	Loss 2.9378 (2.7955)	Prec@1 28.906 (33.624)	Prec@5 57.812 (63.951)
Epoch: [9][5450/14090]	Time 0.860 (0.768)	Data 0.001 (0.002)	Loss 2.8012 (2.7954)	Prec@1 29.688 (33.624)	Prec@5 65.625 (63.951)
Epoch: [9][5460/14090]	Time 0.756 (0.768)	Data 0.001 (0.002)	Loss 2.3541 (2.7952)	Prec@1 42.969 (33.626)	Prec@5 71.875 (63.955)
Epoch: [9][5470/14090]	Time 0.765 (0.768)	Data 0.001 (0.002)	Loss 2.8381 (2.7952)	Prec@1 33.594 (33.627)	Prec@5 67.188 (63.955)
Epoch: [9][5480/14090]	Time 0.767 (0.768)	Data 0.001 (0.002)	Loss 2.7931 (2.7953)	Prec@1 32.812 (33.627)	Prec@5 64.844 (63.953)
Epoch: [9][5490/14090]	Time 0.730 (0.768)	Data 0.001 (0.002)	Loss 2.8724 (2.7955)	Prec@1 34.375 (33.626)	Prec@5 58.594 (63.949)
Epoch: [9][5500/14090]	Time 0.747 (0.768)	Data 0.002 (0.002)	Loss 2.8047 (2.7954)	Prec@1 32.031 (33.626)	Prec@5 60.156 (63.953)
Epoch: [9][5510/14090]	Time 0.749 (0.768)	Data 0.001 (0.002)	Loss 2.8613 (2.7955)	Prec@1 35.156 (33.621)	Prec@5 61.719 (63.951)
Epoch: [9][5520/14090]	Time 0.880 (0.768)	Data 0.001 (0.002)	Loss 2.8466 (2.7955)	Prec@1 32.031 (33.622)	Prec@5 62.500 (63.950)
Epoch: [9][5530/14090]	Time 0.732 (0.768)	Data 0.001 (0.002)	Loss 2.7761 (2.7954)	Prec@1 34.375 (33.623)	Prec@5 65.625 (63.951)
Epoch: [9][5540/14090]	Time 0.757 (0.768)	Data 0.001 (0.002)	Loss 3.2795 (2.7954)	Prec@1 24.219 (33.622)	Prec@5 53.906 (63.954)
Epoch: [9][5550/14090]	Time 0.754 (0.768)	Data 0.001 (0.002)	Loss 3.0385 (2.7955)	Prec@1 27.344 (33.621)	Prec@5 59.375 (63.953)
Epoch: [9][5560/14090]	Time 0.735 (0.768)	Data 0.001 (0.002)	Loss 2.7424 (2.7955)	Prec@1 32.031 (33.619)	Prec@5 64.844 (63.952)
Epoch: [9][5570/14090]	Time 0.747 (0.768)	Data 0.001 (0.002)	Loss 2.7592 (2.7954)	Prec@1 35.938 (33.620)	Prec@5 67.188 (63.954)
Epoch: [9][5580/14090]	Time 0.733 (0.768)	Data 0.001 (0.002)	Loss 2.9677 (2.7953)	Prec@1 28.906 (33.620)	Prec@5 60.156 (63.956)
Epoch: [9][5590/14090]	Time 0.855 (0.768)	Data 0.001 (0.002)	Loss 2.9013 (2.7953)	Prec@1 32.031 (33.617)	Prec@5 58.594 (63.954)
Epoch: [9][5600/14090]	Time 0.757 (0.768)	Data 0.001 (0.002)	Loss 2.6779 (2.7954)	Prec@1 37.500 (33.617)	Prec@5 67.969 (63.953)
Epoch: [9][5610/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 2.9489 (2.7955)	Prec@1 28.125 (33.614)	Prec@5 59.375 (63.951)
Epoch: [9][5620/14090]	Time 0.756 (0.768)	Data 0.001 (0.002)	Loss 2.6366 (2.7954)	Prec@1 35.156 (33.617)	Prec@5 68.750 (63.953)
Epoch: [9][5630/14090]	Time 0.779 (0.768)	Data 0.001 (0.002)	Loss 2.9533 (2.7954)	Prec@1 35.938 (33.617)	Prec@5 64.062 (63.955)
Epoch: [9][5640/14090]	Time 0.749 (0.768)	Data 0.001 (0.002)	Loss 2.8706 (2.7955)	Prec@1 32.031 (33.613)	Prec@5 60.156 (63.954)
Epoch: [9][5650/14090]	Time 0.757 (0.768)	Data 0.001 (0.002)	Loss 2.6742 (2.7954)	Prec@1 37.500 (33.616)	Prec@5 60.156 (63.955)
Epoch: [9][5660/14090]	Time 0.859 (0.768)	Data 0.001 (0.002)	Loss 2.7764 (2.7954)	Prec@1 35.938 (33.617)	Prec@5 64.062 (63.956)
Epoch: [9][5670/14090]	Time 0.736 (0.768)	Data 0.001 (0.002)	Loss 2.6890 (2.7952)	Prec@1 37.500 (33.621)	Prec@5 67.969 (63.960)
Epoch: [9][5680/14090]	Time 0.780 (0.768)	Data 0.001 (0.002)	Loss 2.8333 (2.7953)	Prec@1 30.469 (33.622)	Prec@5 62.500 (63.956)
Epoch: [9][5690/14090]	Time 0.760 (0.768)	Data 0.001 (0.002)	Loss 2.8899 (2.7953)	Prec@1 30.469 (33.621)	Prec@5 62.500 (63.957)
Epoch: [9][5700/14090]	Time 0.775 (0.768)	Data 0.001 (0.002)	Loss 2.6534 (2.7952)	Prec@1 40.625 (33.623)	Prec@5 64.062 (63.956)
Epoch: [9][5710/14090]	Time 0.760 (0.768)	Data 0.001 (0.002)	Loss 2.5541 (2.7951)	Prec@1 40.625 (33.627)	Prec@5 71.094 (63.956)
Epoch: [9][5720/14090]	Time 0.738 (0.768)	Data 0.001 (0.002)	Loss 2.9713 (2.7952)	Prec@1 32.031 (33.629)	Prec@5 64.844 (63.957)
Epoch: [9][5730/14090]	Time 0.851 (0.768)	Data 0.001 (0.002)	Loss 3.0530 (2.7951)	Prec@1 26.562 (33.629)	Prec@5 57.031 (63.960)
Epoch: [9][5740/14090]	Time 0.755 (0.768)	Data 0.001 (0.002)	Loss 2.4865 (2.7951)	Prec@1 35.938 (33.626)	Prec@5 69.531 (63.960)
Epoch: [9][5750/14090]	Time 0.746 (0.768)	Data 0.001 (0.002)	Loss 2.7605 (2.7950)	Prec@1 34.375 (33.626)	Prec@5 60.156 (63.960)
Epoch: [9][5760/14090]	Time 0.730 (0.768)	Data 0.001 (0.002)	Loss 3.3386 (2.7951)	Prec@1 28.125 (33.626)	Prec@5 51.562 (63.957)
Epoch: [9][5770/14090]	Time 0.737 (0.768)	Data 0.001 (0.002)	Loss 2.9055 (2.7951)	Prec@1 29.688 (33.626)	Prec@5 60.156 (63.958)
Epoch: [9][5780/14090]	Time 0.751 (0.768)	Data 0.001 (0.001)	Loss 2.8198 (2.7950)	Prec@1 32.812 (33.632)	Prec@5 57.812 (63.961)
Epoch: [9][5790/14090]	Time 0.742 (0.768)	Data 0.001 (0.001)	Loss 2.7564 (2.7949)	Prec@1 37.500 (33.632)	Prec@5 68.750 (63.962)
Epoch: [9][5800/14090]	Time 0.851 (0.768)	Data 0.001 (0.001)	Loss 2.7443 (2.7950)	Prec@1 35.938 (33.632)	Prec@5 67.188 (63.960)
Epoch: [9][5810/14090]	Time 0.740 (0.768)	Data 0.001 (0.001)	Loss 2.9805 (2.7950)	Prec@1 33.594 (33.632)	Prec@5 62.500 (63.960)
Epoch: [9][5820/14090]	Time 0.756 (0.768)	Data 0.001 (0.001)	Loss 2.7375 (2.7950)	Prec@1 32.031 (33.631)	Prec@5 61.719 (63.960)
Epoch: [9][5830/14090]	Time 0.768 (0.768)	Data 0.001 (0.001)	Loss 2.7056 (2.7949)	Prec@1 39.844 (33.633)	Prec@5 68.750 (63.962)
Epoch: [9][5840/14090]	Time 0.750 (0.768)	Data 0.001 (0.001)	Loss 2.7691 (2.7948)	Prec@1 36.719 (33.634)	Prec@5 65.625 (63.962)
Epoch: [9][5850/14090]	Time 0.749 (0.768)	Data 0.001 (0.001)	Loss 2.7706 (2.7948)	Prec@1 34.375 (33.636)	Prec@5 63.281 (63.960)
Epoch: [9][5860/14090]	Time 0.775 (0.768)	Data 0.001 (0.001)	Loss 3.0725 (2.7949)	Prec@1 30.469 (33.634)	Prec@5 58.594 (63.958)
Epoch: [9][5870/14090]	Time 0.921 (0.768)	Data 0.001 (0.001)	Loss 2.7285 (2.7947)	Prec@1 31.250 (33.638)	Prec@5 60.938 (63.960)
Epoch: [9][5880/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 2.9701 (2.7948)	Prec@1 30.469 (33.639)	Prec@5 63.281 (63.957)
Epoch: [9][5890/14090]	Time 0.747 (0.768)	Data 0.001 (0.001)	Loss 2.7937 (2.7949)	Prec@1 35.938 (33.639)	Prec@5 64.062 (63.956)
Epoch: [9][5900/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 2.6852 (2.7948)	Prec@1 29.688 (33.639)	Prec@5 67.188 (63.957)
Epoch: [9][5910/14090]	Time 0.728 (0.768)	Data 0.001 (0.001)	Loss 3.0344 (2.7949)	Prec@1 30.469 (33.637)	Prec@5 57.031 (63.950)
Epoch: [9][5920/14090]	Time 0.743 (0.768)	Data 0.001 (0.001)	Loss 3.1537 (2.7949)	Prec@1 23.438 (33.641)	Prec@5 53.906 (63.951)
Epoch: [9][5930/14090]	Time 0.732 (0.768)	Data 0.001 (0.001)	Loss 2.8448 (2.7948)	Prec@1 34.375 (33.643)	Prec@5 61.719 (63.953)
Epoch: [9][5940/14090]	Time 0.861 (0.768)	Data 0.001 (0.001)	Loss 2.9442 (2.7949)	Prec@1 31.250 (33.643)	Prec@5 57.812 (63.949)
Epoch: [9][5950/14090]	Time 0.746 (0.768)	Data 0.001 (0.001)	Loss 3.0229 (2.7949)	Prec@1 34.375 (33.643)	Prec@5 60.938 (63.947)
Epoch: [9][5960/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 2.4695 (2.7949)	Prec@1 36.719 (33.641)	Prec@5 68.750 (63.946)
Epoch: [9][5970/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 2.7071 (2.7950)	Prec@1 33.594 (33.640)	Prec@5 59.375 (63.946)
Epoch: [9][5980/14090]	Time 0.741 (0.768)	Data 0.001 (0.001)	Loss 2.4303 (2.7948)	Prec@1 35.156 (33.645)	Prec@5 71.094 (63.950)
Epoch: [9][5990/14090]	Time 0.760 (0.768)	Data 0.002 (0.001)	Loss 2.7246 (2.7948)	Prec@1 36.719 (33.644)	Prec@5 63.281 (63.951)
Epoch: [9][6000/14090]	Time 0.747 (0.768)	Data 0.001 (0.001)	Loss 3.0343 (2.7949)	Prec@1 28.906 (33.643)	Prec@5 64.844 (63.950)
Epoch: [9][6010/14090]	Time 0.874 (0.768)	Data 0.001 (0.001)	Loss 2.6248 (2.7949)	Prec@1 38.281 (33.644)	Prec@5 65.625 (63.953)
Epoch: [9][6020/14090]	Time 0.764 (0.768)	Data 0.001 (0.001)	Loss 2.8323 (2.7949)	Prec@1 33.594 (33.642)	Prec@5 60.938 (63.953)
Epoch: [9][6030/14090]	Time 0.746 (0.768)	Data 0.001 (0.001)	Loss 2.4538 (2.7950)	Prec@1 40.625 (33.643)	Prec@5 67.188 (63.950)
Epoch: [9][6040/14090]	Time 0.747 (0.768)	Data 0.001 (0.001)	Loss 3.0733 (2.7949)	Prec@1 28.906 (33.643)	Prec@5 60.156 (63.951)
Epoch: [9][6050/14090]	Time 0.746 (0.768)	Data 0.001 (0.001)	Loss 3.0421 (2.7951)	Prec@1 31.250 (33.642)	Prec@5 57.812 (63.948)
Epoch: [9][6060/14090]	Time 0.726 (0.768)	Data 0.001 (0.001)	Loss 2.7715 (2.7950)	Prec@1 38.281 (33.644)	Prec@5 63.281 (63.947)
Epoch: [9][6070/14090]	Time 0.749 (0.768)	Data 0.001 (0.001)	Loss 2.7270 (2.7950)	Prec@1 35.156 (33.643)	Prec@5 61.719 (63.947)
Epoch: [9][6080/14090]	Time 0.866 (0.768)	Data 0.001 (0.001)	Loss 2.9108 (2.7951)	Prec@1 36.719 (33.643)	Prec@5 63.281 (63.949)
Epoch: [9][6090/14090]	Time 0.726 (0.768)	Data 0.001 (0.001)	Loss 2.7445 (2.7949)	Prec@1 37.500 (33.646)	Prec@5 65.625 (63.954)
Epoch: [9][6100/14090]	Time 0.742 (0.768)	Data 0.001 (0.001)	Loss 2.4317 (2.7949)	Prec@1 37.500 (33.644)	Prec@5 70.312 (63.953)
Epoch: [9][6110/14090]	Time 0.741 (0.768)	Data 0.001 (0.001)	Loss 2.4403 (2.7949)	Prec@1 36.719 (33.644)	Prec@5 70.312 (63.953)
Epoch: [9][6120/14090]	Time 0.770 (0.768)	Data 0.001 (0.001)	Loss 2.7720 (2.7949)	Prec@1 31.250 (33.642)	Prec@5 67.188 (63.955)
Epoch: [9][6130/14090]	Time 0.740 (0.768)	Data 0.001 (0.001)	Loss 2.8058 (2.7949)	Prec@1 36.719 (33.642)	Prec@5 61.719 (63.954)
Epoch: [9][6140/14090]	Time 0.746 (0.768)	Data 0.001 (0.001)	Loss 2.4663 (2.7950)	Prec@1 35.938 (33.637)	Prec@5 71.094 (63.952)
Epoch: [9][6150/14090]	Time 0.854 (0.768)	Data 0.001 (0.001)	Loss 2.7639 (2.7951)	Prec@1 32.812 (33.637)	Prec@5 64.844 (63.952)
Epoch: [9][6160/14090]	Time 0.737 (0.768)	Data 0.001 (0.001)	Loss 2.6452 (2.7950)	Prec@1 36.719 (33.638)	Prec@5 66.406 (63.953)
Epoch: [9][6170/14090]	Time 0.750 (0.768)	Data 0.001 (0.001)	Loss 2.8281 (2.7949)	Prec@1 32.031 (33.636)	Prec@5 61.719 (63.954)
Epoch: [9][6180/14090]	Time 0.728 (0.768)	Data 0.001 (0.001)	Loss 2.8783 (2.7950)	Prec@1 32.812 (33.635)	Prec@5 64.062 (63.953)
Epoch: [9][6190/14090]	Time 0.743 (0.768)	Data 0.001 (0.001)	Loss 2.5775 (2.7949)	Prec@1 35.938 (33.634)	Prec@5 71.875 (63.954)
Epoch: [9][6200/14090]	Time 0.755 (0.768)	Data 0.001 (0.001)	Loss 2.7116 (2.7948)	Prec@1 32.812 (33.636)	Prec@5 64.062 (63.956)
Epoch: [9][6210/14090]	Time 0.737 (0.768)	Data 0.001 (0.001)	Loss 2.9732 (2.7949)	Prec@1 34.375 (33.635)	Prec@5 62.500 (63.954)
Epoch: [9][6220/14090]	Time 0.845 (0.768)	Data 0.001 (0.001)	Loss 2.8103 (2.7950)	Prec@1 36.719 (33.634)	Prec@5 63.281 (63.954)
Epoch: [9][6230/14090]	Time 0.743 (0.768)	Data 0.001 (0.001)	Loss 3.0601 (2.7950)	Prec@1 31.250 (33.634)	Prec@5 60.156 (63.952)
Epoch: [9][6240/14090]	Time 0.755 (0.768)	Data 0.001 (0.001)	Loss 2.7283 (2.7949)	Prec@1 35.156 (33.634)	Prec@5 67.188 (63.953)
Epoch: [9][6250/14090]	Time 0.776 (0.768)	Data 0.001 (0.001)	Loss 3.1041 (2.7950)	Prec@1 28.906 (33.633)	Prec@5 53.906 (63.952)
Epoch: [9][6260/14090]	Time 0.768 (0.768)	Data 0.001 (0.001)	Loss 2.8298 (2.7950)	Prec@1 32.031 (33.631)	Prec@5 59.375 (63.953)
Epoch: [9][6270/14090]	Time 0.759 (0.768)	Data 0.001 (0.001)	Loss 2.5699 (2.7947)	Prec@1 38.281 (33.637)	Prec@5 65.625 (63.957)
Epoch: [9][6280/14090]	Time 0.744 (0.768)	Data 0.001 (0.001)	Loss 2.9450 (2.7946)	Prec@1 24.219 (33.636)	Prec@5 58.594 (63.958)
Epoch: [9][6290/14090]	Time 0.890 (0.768)	Data 0.001 (0.001)	Loss 2.7470 (2.7947)	Prec@1 35.938 (33.635)	Prec@5 62.500 (63.956)
Epoch: [9][6300/14090]	Time 0.750 (0.768)	Data 0.001 (0.001)	Loss 2.9505 (2.7947)	Prec@1 32.812 (33.632)	Prec@5 61.719 (63.956)
Epoch: [9][6310/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 2.7436 (2.7947)	Prec@1 35.938 (33.629)	Prec@5 67.188 (63.956)
Epoch: [9][6320/14090]	Time 0.745 (0.768)	Data 0.001 (0.001)	Loss 2.6584 (2.7947)	Prec@1 31.250 (33.628)	Prec@5 68.750 (63.955)
Epoch: [9][6330/14090]	Time 0.751 (0.768)	Data 0.001 (0.001)	Loss 2.9258 (2.7947)	Prec@1 32.812 (33.627)	Prec@5 60.938 (63.955)
Epoch: [9][6340/14090]	Time 0.724 (0.768)	Data 0.001 (0.001)	Loss 2.6145 (2.7948)	Prec@1 31.250 (33.625)	Prec@5 68.750 (63.953)
Epoch: [9][6350/14090]	Time 0.742 (0.768)	Data 0.001 (0.001)	Loss 2.7719 (2.7947)	Prec@1 35.938 (33.627)	Prec@5 60.156 (63.956)
Epoch: [9][6360/14090]	Time 0.864 (0.768)	Data 0.001 (0.001)	Loss 2.9924 (2.7948)	Prec@1 30.469 (33.625)	Prec@5 58.594 (63.952)
Epoch: [9][6370/14090]	Time 0.750 (0.768)	Data 0.001 (0.001)	Loss 2.7428 (2.7947)	Prec@1 32.812 (33.623)	Prec@5 69.531 (63.952)
Epoch: [9][6380/14090]	Time 0.745 (0.768)	Data 0.001 (0.001)	Loss 2.8209 (2.7946)	Prec@1 29.688 (33.622)	Prec@5 61.719 (63.954)
Epoch: [9][6390/14090]	Time 0.737 (0.768)	Data 0.001 (0.001)	Loss 2.8988 (2.7946)	Prec@1 31.250 (33.623)	Prec@5 64.844 (63.956)
Epoch: [9][6400/14090]	Time 0.751 (0.768)	Data 0.001 (0.001)	Loss 2.9270 (2.7948)	Prec@1 35.938 (33.621)	Prec@5 60.938 (63.950)
Epoch: [9][6410/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 2.5900 (2.7948)	Prec@1 34.375 (33.619)	Prec@5 67.188 (63.951)
Epoch: [9][6420/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 2.6330 (2.7948)	Prec@1 31.250 (33.617)	Prec@5 67.969 (63.948)
Epoch: [9][6430/14090]	Time 0.865 (0.768)	Data 0.001 (0.001)	Loss 2.9133 (2.7948)	Prec@1 33.594 (33.616)	Prec@5 55.469 (63.948)
Epoch: [9][6440/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 3.0098 (2.7947)	Prec@1 28.906 (33.618)	Prec@5 59.375 (63.951)
Epoch: [9][6450/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 3.1811 (2.7947)	Prec@1 28.125 (33.617)	Prec@5 57.031 (63.951)
Epoch: [9][6460/14090]	Time 0.743 (0.768)	Data 0.001 (0.001)	Loss 2.9129 (2.7948)	Prec@1 29.688 (33.617)	Prec@5 60.938 (63.950)
Epoch: [9][6470/14090]	Time 0.751 (0.768)	Data 0.001 (0.001)	Loss 2.8653 (2.7948)	Prec@1 34.375 (33.617)	Prec@5 62.500 (63.949)
Epoch: [9][6480/14090]	Time 0.755 (0.768)	Data 0.001 (0.001)	Loss 2.9038 (2.7949)	Prec@1 30.469 (33.616)	Prec@5 62.500 (63.946)
Epoch: [9][6490/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 2.8181 (2.7948)	Prec@1 35.938 (33.618)	Prec@5 61.719 (63.947)
Epoch: [9][6500/14090]	Time 0.878 (0.768)	Data 0.001 (0.001)	Loss 2.8908 (2.7947)	Prec@1 35.156 (33.621)	Prec@5 58.594 (63.949)
Epoch: [9][6510/14090]	Time 0.741 (0.768)	Data 0.001 (0.001)	Loss 2.7503 (2.7947)	Prec@1 36.719 (33.621)	Prec@5 63.281 (63.948)
Epoch: [9][6520/14090]	Time 0.757 (0.768)	Data 0.002 (0.001)	Loss 2.7273 (2.7946)	Prec@1 33.594 (33.621)	Prec@5 65.625 (63.949)
Epoch: [9][6530/14090]	Time 0.752 (0.768)	Data 0.001 (0.001)	Loss 2.9457 (2.7946)	Prec@1 30.469 (33.621)	Prec@5 64.844 (63.949)
Epoch: [9][6540/14090]	Time 0.737 (0.768)	Data 0.001 (0.001)	Loss 2.6775 (2.7945)	Prec@1 38.281 (33.623)	Prec@5 68.750 (63.951)
Epoch: [9][6550/14090]	Time 0.741 (0.768)	Data 0.001 (0.001)	Loss 2.7718 (2.7944)	Prec@1 32.031 (33.626)	Prec@5 65.625 (63.954)
Epoch: [9][6560/14090]	Time 0.733 (0.768)	Data 0.001 (0.001)	Loss 2.8797 (2.7945)	Prec@1 29.688 (33.626)	Prec@5 61.719 (63.953)
Epoch: [9][6570/14090]	Time 0.860 (0.768)	Data 0.001 (0.001)	Loss 2.6839 (2.7944)	Prec@1 35.938 (33.628)	Prec@5 65.625 (63.954)
Epoch: [9][6580/14090]	Time 0.740 (0.768)	Data 0.001 (0.001)	Loss 2.6661 (2.7944)	Prec@1 36.719 (33.627)	Prec@5 66.406 (63.952)
Epoch: [9][6590/14090]	Time 0.765 (0.768)	Data 0.001 (0.001)	Loss 3.1060 (2.7945)	Prec@1 27.344 (33.625)	Prec@5 55.469 (63.950)
Epoch: [9][6600/14090]	Time 0.749 (0.768)	Data 0.002 (0.001)	Loss 2.9311 (2.7946)	Prec@1 29.688 (33.622)	Prec@5 58.594 (63.946)
Epoch: [9][6610/14090]	Time 0.761 (0.768)	Data 0.001 (0.001)	Loss 2.6972 (2.7946)	Prec@1 37.500 (33.624)	Prec@5 60.938 (63.948)
Epoch: [9][6620/14090]	Time 0.761 (0.768)	Data 0.001 (0.001)	Loss 2.8803 (2.7947)	Prec@1 27.344 (33.621)	Prec@5 61.719 (63.945)
Epoch: [9][6630/14090]	Time 0.756 (0.768)	Data 0.001 (0.001)	Loss 2.8285 (2.7946)	Prec@1 29.688 (33.623)	Prec@5 67.188 (63.947)
Epoch: [9][6640/14090]	Time 0.987 (0.768)	Data 0.001 (0.001)	Loss 2.7128 (2.7946)	Prec@1 33.594 (33.623)	Prec@5 69.531 (63.947)
Epoch: [9][6650/14090]	Time 0.755 (0.768)	Data 0.001 (0.001)	Loss 2.8622 (2.7946)	Prec@1 33.594 (33.624)	Prec@5 58.594 (63.947)
Epoch: [9][6660/14090]	Time 0.762 (0.768)	Data 0.001 (0.001)	Loss 2.9600 (2.7947)	Prec@1 32.812 (33.622)	Prec@5 57.812 (63.944)
Epoch: [9][6670/14090]	Time 0.743 (0.768)	Data 0.001 (0.001)	Loss 2.6385 (2.7946)	Prec@1 39.844 (33.622)	Prec@5 64.062 (63.944)
Epoch: [9][6680/14090]	Time 0.772 (0.768)	Data 0.001 (0.001)	Loss 2.8368 (2.7946)	Prec@1 31.250 (33.621)	Prec@5 60.938 (63.945)
Epoch: [9][6690/14090]	Time 0.734 (0.768)	Data 0.001 (0.001)	Loss 2.8142 (2.7946)	Prec@1 32.812 (33.624)	Prec@5 64.062 (63.947)
Epoch: [9][6700/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 2.6533 (2.7946)	Prec@1 35.938 (33.622)	Prec@5 68.750 (63.947)
Epoch: [9][6710/14090]	Time 0.909 (0.768)	Data 0.001 (0.001)	Loss 2.7931 (2.7946)	Prec@1 34.375 (33.622)	Prec@5 64.844 (63.947)
Epoch: [9][6720/14090]	Time 0.754 (0.768)	Data 0.001 (0.001)	Loss 2.7745 (2.7946)	Prec@1 32.812 (33.622)	Prec@5 61.719 (63.947)
Epoch: [9][6730/14090]	Time 0.740 (0.768)	Data 0.001 (0.001)	Loss 2.5566 (2.7945)	Prec@1 37.500 (33.624)	Prec@5 64.062 (63.949)
Epoch: [9][6740/14090]	Time 0.719 (0.768)	Data 0.001 (0.001)	Loss 2.8029 (2.7945)	Prec@1 30.469 (33.623)	Prec@5 66.406 (63.950)
Epoch: [9][6750/14090]	Time 0.758 (0.768)	Data 0.001 (0.001)	Loss 2.7393 (2.7944)	Prec@1 34.375 (33.626)	Prec@5 66.406 (63.952)
Epoch: [9][6760/14090]	Time 0.740 (0.768)	Data 0.001 (0.001)	Loss 2.9630 (2.7946)	Prec@1 22.656 (33.623)	Prec@5 58.594 (63.948)
Epoch: [9][6770/14090]	Time 0.742 (0.768)	Data 0.001 (0.001)	Loss 2.6023 (2.7945)	Prec@1 35.156 (33.626)	Prec@5 64.844 (63.949)
Epoch: [9][6780/14090]	Time 0.859 (0.768)	Data 0.001 (0.001)	Loss 2.6948 (2.7944)	Prec@1 40.625 (33.627)	Prec@5 68.750 (63.953)
Epoch: [9][6790/14090]	Time 0.732 (0.768)	Data 0.001 (0.001)	Loss 2.6674 (2.7944)	Prec@1 33.594 (33.627)	Prec@5 68.750 (63.953)
Epoch: [9][6800/14090]	Time 0.766 (0.768)	Data 0.001 (0.001)	Loss 2.6306 (2.7942)	Prec@1 33.594 (33.627)	Prec@5 65.625 (63.955)
Epoch: [9][6810/14090]	Time 0.723 (0.768)	Data 0.001 (0.001)	Loss 2.7940 (2.7943)	Prec@1 42.188 (33.627)	Prec@5 64.062 (63.955)
Epoch: [9][6820/14090]	Time 0.728 (0.768)	Data 0.001 (0.001)	Loss 2.8409 (2.7943)	Prec@1 32.031 (33.626)	Prec@5 62.500 (63.955)
Epoch: [9][6830/14090]	Time 0.751 (0.768)	Data 0.001 (0.001)	Loss 2.7292 (2.7944)	Prec@1 34.375 (33.623)	Prec@5 66.406 (63.955)
Epoch: [9][6840/14090]	Time 0.759 (0.768)	Data 0.001 (0.001)	Loss 2.8859 (2.7946)	Prec@1 29.688 (33.622)	Prec@5 62.500 (63.951)
Epoch: [9][6850/14090]	Time 0.913 (0.768)	Data 0.001 (0.001)	Loss 2.7001 (2.7945)	Prec@1 32.812 (33.619)	Prec@5 62.500 (63.953)
Epoch: [9][6860/14090]	Time 0.725 (0.768)	Data 0.001 (0.001)	Loss 2.7356 (2.7945)	Prec@1 35.938 (33.619)	Prec@5 63.281 (63.951)
Epoch: [9][6870/14090]	Time 0.750 (0.768)	Data 0.001 (0.001)	Loss 3.0104 (2.7945)	Prec@1 33.594 (33.618)	Prec@5 59.375 (63.950)
Epoch: [9][6880/14090]	Time 0.754 (0.768)	Data 0.001 (0.001)	Loss 2.4686 (2.7945)	Prec@1 37.500 (33.619)	Prec@5 67.969 (63.950)
Epoch: [9][6890/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 2.5498 (2.7944)	Prec@1 41.406 (33.620)	Prec@5 70.312 (63.953)
Epoch: [9][6900/14090]	Time 0.761 (0.768)	Data 0.001 (0.001)	Loss 2.5739 (2.7943)	Prec@1 35.156 (33.622)	Prec@5 67.188 (63.954)
Epoch: [9][6910/14090]	Time 0.745 (0.768)	Data 0.001 (0.001)	Loss 2.7720 (2.7943)	Prec@1 30.469 (33.622)	Prec@5 62.500 (63.954)
Epoch: [9][6920/14090]	Time 0.862 (0.768)	Data 0.001 (0.001)	Loss 2.5723 (2.7943)	Prec@1 42.969 (33.623)	Prec@5 67.969 (63.955)
Epoch: [9][6930/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 2.7965 (2.7943)	Prec@1 36.719 (33.624)	Prec@5 63.281 (63.958)
Epoch: [9][6940/14090]	Time 0.767 (0.768)	Data 0.001 (0.001)	Loss 3.0021 (2.7942)	Prec@1 30.469 (33.623)	Prec@5 64.062 (63.960)
Epoch: [9][6950/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 2.5314 (2.7940)	Prec@1 39.844 (33.627)	Prec@5 66.406 (63.964)
Epoch: [9][6960/14090]	Time 0.759 (0.768)	Data 0.001 (0.001)	Loss 2.7351 (2.7940)	Prec@1 31.250 (33.626)	Prec@5 62.500 (63.963)
Epoch: [9][6970/14090]	Time 0.724 (0.768)	Data 0.001 (0.001)	Loss 2.9175 (2.7940)	Prec@1 30.469 (33.626)	Prec@5 62.500 (63.963)
Epoch: [9][6980/14090]	Time 0.740 (0.768)	Data 0.001 (0.001)	Loss 3.1209 (2.7941)	Prec@1 27.344 (33.624)	Prec@5 60.156 (63.961)
Epoch: [9][6990/14090]	Time 0.927 (0.768)	Data 0.001 (0.001)	Loss 2.8308 (2.7943)	Prec@1 32.031 (33.619)	Prec@5 61.719 (63.956)
Epoch: [9][7000/14090]	Time 0.754 (0.768)	Data 0.001 (0.001)	Loss 2.8774 (2.7942)	Prec@1 32.031 (33.619)	Prec@5 62.500 (63.956)
Epoch: [9][7010/14090]	Time 0.739 (0.768)	Data 0.002 (0.001)	Loss 2.8651 (2.7942)	Prec@1 28.125 (33.619)	Prec@5 61.719 (63.957)
Epoch: [9][7020/14090]	Time 0.773 (0.768)	Data 0.001 (0.001)	Loss 3.1203 (2.7942)	Prec@1 26.562 (33.618)	Prec@5 61.719 (63.959)
Epoch: [9][7030/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 2.5468 (2.7942)	Prec@1 35.938 (33.617)	Prec@5 64.844 (63.957)
Epoch: [9][7040/14090]	Time 0.746 (0.768)	Data 0.001 (0.001)	Loss 2.9960 (2.7941)	Prec@1 28.906 (33.615)	Prec@5 60.156 (63.959)
Epoch: [9][7050/14090]	Time 0.776 (0.768)	Data 0.001 (0.001)	Loss 2.7166 (2.7940)	Prec@1 33.594 (33.621)	Prec@5 60.938 (63.959)
Epoch: [9][7060/14090]	Time 0.884 (0.768)	Data 0.001 (0.001)	Loss 2.7280 (2.7940)	Prec@1 30.469 (33.620)	Prec@5 61.719 (63.957)
Epoch: [9][7070/14090]	Time 0.742 (0.768)	Data 0.001 (0.001)	Loss 2.7804 (2.7940)	Prec@1 35.156 (33.620)	Prec@5 62.500 (63.958)
Epoch: [9][7080/14090]	Time 0.750 (0.768)	Data 0.001 (0.001)	Loss 3.1307 (2.7940)	Prec@1 31.250 (33.621)	Prec@5 56.250 (63.959)
Epoch: [9][7090/14090]	Time 0.752 (0.768)	Data 0.001 (0.001)	Loss 2.9270 (2.7940)	Prec@1 32.031 (33.622)	Prec@5 61.719 (63.960)
Epoch: [9][7100/14090]	Time 0.752 (0.768)	Data 0.001 (0.001)	Loss 3.0318 (2.7941)	Prec@1 28.906 (33.620)	Prec@5 62.500 (63.957)
Epoch: [9][7110/14090]	Time 0.750 (0.768)	Data 0.001 (0.001)	Loss 3.0267 (2.7941)	Prec@1 26.562 (33.621)	Prec@5 64.844 (63.957)
Epoch: [9][7120/14090]	Time 0.757 (0.768)	Data 0.001 (0.001)	Loss 3.0944 (2.7943)	Prec@1 31.250 (33.619)	Prec@5 58.594 (63.954)
Epoch: [9][7130/14090]	Time 0.864 (0.768)	Data 0.001 (0.001)	Loss 3.0164 (2.7943)	Prec@1 33.594 (33.620)	Prec@5 60.938 (63.955)
Epoch: [9][7140/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 2.9676 (2.7944)	Prec@1 29.688 (33.619)	Prec@5 62.500 (63.953)
Epoch: [9][7150/14090]	Time 0.763 (0.768)	Data 0.001 (0.001)	Loss 3.0254 (2.7944)	Prec@1 28.906 (33.619)	Prec@5 61.719 (63.953)
Epoch: [9][7160/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 2.9191 (2.7943)	Prec@1 30.469 (33.620)	Prec@5 55.469 (63.952)
Epoch: [9][7170/14090]	Time 0.747 (0.768)	Data 0.001 (0.001)	Loss 3.0479 (2.7945)	Prec@1 29.688 (33.617)	Prec@5 53.906 (63.948)
Epoch: [9][7180/14090]	Time 0.755 (0.768)	Data 0.001 (0.001)	Loss 2.8117 (2.7945)	Prec@1 31.250 (33.616)	Prec@5 64.844 (63.946)
Epoch: [9][7190/14090]	Time 0.751 (0.768)	Data 0.001 (0.001)	Loss 2.9803 (2.7946)	Prec@1 23.438 (33.615)	Prec@5 60.156 (63.944)
Epoch: [9][7200/14090]	Time 1.070 (0.768)	Data 0.001 (0.001)	Loss 3.0486 (2.7946)	Prec@1 28.125 (33.615)	Prec@5 60.938 (63.942)
Epoch: [9][7210/14090]	Time 0.749 (0.768)	Data 0.001 (0.001)	Loss 2.6758 (2.7945)	Prec@1 35.156 (33.619)	Prec@5 61.719 (63.943)
Epoch: [9][7220/14090]	Time 0.757 (0.768)	Data 0.001 (0.001)	Loss 2.5540 (2.7944)	Prec@1 35.938 (33.619)	Prec@5 71.875 (63.946)
Epoch: [9][7230/14090]	Time 0.741 (0.768)	Data 0.001 (0.001)	Loss 2.8827 (2.7944)	Prec@1 32.812 (33.624)	Prec@5 61.719 (63.947)
Epoch: [9][7240/14090]	Time 0.741 (0.768)	Data 0.001 (0.001)	Loss 2.6950 (2.7943)	Prec@1 40.625 (33.628)	Prec@5 67.188 (63.948)
Epoch: [9][7250/14090]	Time 0.735 (0.768)	Data 0.001 (0.001)	Loss 2.9042 (2.7943)	Prec@1 33.594 (33.627)	Prec@5 59.375 (63.946)
Epoch: [9][7260/14090]	Time 0.723 (0.768)	Data 0.001 (0.001)	Loss 2.6789 (2.7943)	Prec@1 39.844 (33.628)	Prec@5 64.844 (63.945)
Epoch: [9][7270/14090]	Time 0.861 (0.768)	Data 0.001 (0.001)	Loss 3.1742 (2.7943)	Prec@1 30.469 (33.629)	Prec@5 57.812 (63.944)
Epoch: [9][7280/14090]	Time 0.752 (0.768)	Data 0.001 (0.001)	Loss 3.0140 (2.7942)	Prec@1 34.375 (33.631)	Prec@5 57.812 (63.945)
Epoch: [9][7290/14090]	Time 0.751 (0.768)	Data 0.001 (0.001)	Loss 2.9285 (2.7941)	Prec@1 34.375 (33.633)	Prec@5 60.938 (63.948)
Epoch: [9][7300/14090]	Time 0.781 (0.768)	Data 0.001 (0.001)	Loss 2.6433 (2.7941)	Prec@1 34.375 (33.631)	Prec@5 67.188 (63.947)
Epoch: [9][7310/14090]	Time 0.741 (0.768)	Data 0.001 (0.001)	Loss 2.9285 (2.7942)	Prec@1 31.250 (33.630)	Prec@5 66.406 (63.948)
Epoch: [9][7320/14090]	Time 0.743 (0.768)	Data 0.001 (0.001)	Loss 2.9513 (2.7942)	Prec@1 25.781 (33.629)	Prec@5 63.281 (63.948)
Epoch: [9][7330/14090]	Time 0.743 (0.768)	Data 0.001 (0.001)	Loss 2.9202 (2.7942)	Prec@1 34.375 (33.628)	Prec@5 59.375 (63.947)
Epoch: [9][7340/14090]	Time 0.852 (0.768)	Data 0.001 (0.001)	Loss 2.6667 (2.7942)	Prec@1 36.719 (33.630)	Prec@5 66.406 (63.950)
Epoch: [9][7350/14090]	Time 0.749 (0.768)	Data 0.001 (0.001)	Loss 2.9167 (2.7942)	Prec@1 31.250 (33.629)	Prec@5 56.250 (63.949)
Epoch: [9][7360/14090]	Time 0.764 (0.768)	Data 0.001 (0.001)	Loss 2.8042 (2.7941)	Prec@1 30.469 (33.628)	Prec@5 65.625 (63.951)
Epoch: [9][7370/14090]	Time 0.772 (0.768)	Data 0.001 (0.001)	Loss 2.6591 (2.7942)	Prec@1 31.250 (33.628)	Prec@5 64.844 (63.950)
Epoch: [9][7380/14090]	Time 0.781 (0.768)	Data 0.001 (0.001)	Loss 2.6798 (2.7942)	Prec@1 34.375 (33.628)	Prec@5 65.625 (63.950)
Epoch: [9][7390/14090]	Time 0.750 (0.768)	Data 0.001 (0.001)	Loss 2.8744 (2.7942)	Prec@1 34.375 (33.629)	Prec@5 60.938 (63.949)
Epoch: [9][7400/14090]	Time 0.741 (0.768)	Data 0.001 (0.001)	Loss 2.6580 (2.7941)	Prec@1 35.938 (33.631)	Prec@5 66.406 (63.949)
Epoch: [9][7410/14090]	Time 0.864 (0.768)	Data 0.001 (0.001)	Loss 3.0575 (2.7943)	Prec@1 27.344 (33.628)	Prec@5 55.469 (63.942)
Epoch: [9][7420/14090]	Time 0.761 (0.768)	Data 0.001 (0.001)	Loss 2.7448 (2.7942)	Prec@1 34.375 (33.631)	Prec@5 65.625 (63.943)
Epoch: [9][7430/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 2.7107 (2.7942)	Prec@1 35.938 (33.633)	Prec@5 68.750 (63.945)
Epoch: [9][7440/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 2.7175 (2.7942)	Prec@1 39.844 (33.634)	Prec@5 66.406 (63.943)
Epoch: [9][7450/14090]	Time 0.750 (0.768)	Data 0.001 (0.001)	Loss 2.4964 (2.7943)	Prec@1 44.531 (33.634)	Prec@5 70.312 (63.944)
Epoch: [9][7460/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 2.8107 (2.7942)	Prec@1 32.812 (33.633)	Prec@5 60.938 (63.945)
Epoch: [9][7470/14090]	Time 0.744 (0.768)	Data 0.001 (0.001)	Loss 2.4558 (2.7942)	Prec@1 42.969 (33.635)	Prec@5 72.656 (63.945)
Epoch: [9][7480/14090]	Time 0.923 (0.768)	Data 0.001 (0.001)	Loss 2.9592 (2.7942)	Prec@1 31.250 (33.638)	Prec@5 63.281 (63.945)
Epoch: [9][7490/14090]	Time 0.761 (0.768)	Data 0.001 (0.001)	Loss 2.7440 (2.7942)	Prec@1 33.594 (33.636)	Prec@5 65.625 (63.946)
Epoch: [9][7500/14090]	Time 0.764 (0.768)	Data 0.001 (0.001)	Loss 2.9012 (2.7942)	Prec@1 33.594 (33.637)	Prec@5 65.625 (63.946)
Epoch: [9][7510/14090]	Time 0.745 (0.768)	Data 0.001 (0.001)	Loss 2.8615 (2.7942)	Prec@1 32.812 (33.637)	Prec@5 64.062 (63.945)
Epoch: [9][7520/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 2.4594 (2.7942)	Prec@1 35.156 (33.635)	Prec@5 67.969 (63.946)
Epoch: [9][7530/14090]	Time 0.722 (0.768)	Data 0.001 (0.001)	Loss 2.8590 (2.7941)	Prec@1 38.281 (33.638)	Prec@5 59.375 (63.946)
Epoch: [9][7540/14090]	Time 0.748 (0.768)	Data 0.001 (0.001)	Loss 2.7195 (2.7941)	Prec@1 35.156 (33.639)	Prec@5 64.844 (63.946)
Epoch: [9][7550/14090]	Time 0.905 (0.768)	Data 0.001 (0.001)	Loss 2.5630 (2.7940)	Prec@1 34.375 (33.641)	Prec@5 74.219 (63.949)
Epoch: [9][7560/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 3.1838 (2.7941)	Prec@1 28.125 (33.638)	Prec@5 53.906 (63.948)
Epoch: [9][7570/14090]	Time 0.724 (0.768)	Data 0.001 (0.001)	Loss 2.8380 (2.7940)	Prec@1 32.031 (33.639)	Prec@5 59.375 (63.950)
Epoch: [9][7580/14090]	Time 0.763 (0.768)	Data 0.001 (0.001)	Loss 2.8067 (2.7940)	Prec@1 35.938 (33.638)	Prec@5 64.844 (63.950)
Epoch: [9][7590/14090]	Time 0.726 (0.768)	Data 0.001 (0.001)	Loss 3.0598 (2.7940)	Prec@1 25.781 (33.633)	Prec@5 57.031 (63.947)
Epoch: [9][7600/14090]	Time 0.755 (0.768)	Data 0.001 (0.001)	Loss 2.7062 (2.7940)	Prec@1 35.938 (33.635)	Prec@5 67.969 (63.947)
Epoch: [9][7610/14090]	Time 0.760 (0.768)	Data 0.001 (0.001)	Loss 2.7205 (2.7940)	Prec@1 35.156 (33.635)	Prec@5 67.188 (63.947)
Epoch: [9][7620/14090]	Time 0.839 (0.768)	Data 0.001 (0.001)	Loss 2.9604 (2.7940)	Prec@1 30.469 (33.633)	Prec@5 59.375 (63.947)
Epoch: [9][7630/14090]	Time 0.740 (0.768)	Data 0.001 (0.001)	Loss 3.0265 (2.7941)	Prec@1 28.906 (33.633)	Prec@5 60.938 (63.948)
Epoch: [9][7640/14090]	Time 0.754 (0.768)	Data 0.001 (0.001)	Loss 3.0191 (2.7941)	Prec@1 29.688 (33.632)	Prec@5 54.688 (63.948)
Epoch: [9][7650/14090]	Time 0.737 (0.768)	Data 0.001 (0.001)	Loss 2.9372 (2.7942)	Prec@1 32.031 (33.633)	Prec@5 58.594 (63.948)
Epoch: [9][7660/14090]	Time 0.743 (0.768)	Data 0.001 (0.001)	Loss 2.7426 (2.7943)	Prec@1 29.688 (33.629)	Prec@5 63.281 (63.946)
Epoch: [9][7670/14090]	Time 0.760 (0.768)	Data 0.001 (0.001)	Loss 2.7390 (2.7943)	Prec@1 32.812 (33.631)	Prec@5 62.500 (63.944)
Epoch: [9][7680/14090]	Time 0.768 (0.768)	Data 0.001 (0.001)	Loss 3.0354 (2.7944)	Prec@1 24.219 (33.630)	Prec@5 57.812 (63.942)
Epoch: [9][7690/14090]	Time 0.862 (0.768)	Data 0.001 (0.001)	Loss 2.8614 (2.7943)	Prec@1 35.156 (33.631)	Prec@5 60.938 (63.942)
Epoch: [9][7700/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 2.8250 (2.7943)	Prec@1 35.156 (33.633)	Prec@5 66.406 (63.944)
Epoch: [9][7710/14090]	Time 0.752 (0.768)	Data 0.001 (0.001)	Loss 2.6348 (2.7943)	Prec@1 35.156 (33.635)	Prec@5 65.625 (63.943)
Epoch: [9][7720/14090]	Time 0.775 (0.768)	Data 0.001 (0.001)	Loss 2.7403 (2.7943)	Prec@1 38.281 (33.636)	Prec@5 64.844 (63.945)
Epoch: [9][7730/14090]	Time 0.749 (0.768)	Data 0.001 (0.001)	Loss 2.7087 (2.7943)	Prec@1 36.719 (33.635)	Prec@5 62.500 (63.944)
Epoch: [9][7740/14090]	Time 0.768 (0.768)	Data 0.001 (0.001)	Loss 2.6383 (2.7943)	Prec@1 32.812 (33.635)	Prec@5 68.750 (63.946)
Epoch: [9][7750/14090]	Time 0.778 (0.768)	Data 0.001 (0.001)	Loss 2.7683 (2.7942)	Prec@1 31.250 (33.636)	Prec@5 62.500 (63.946)
Epoch: [9][7760/14090]	Time 0.865 (0.768)	Data 0.001 (0.001)	Loss 2.6307 (2.7943)	Prec@1 34.375 (33.637)	Prec@5 64.062 (63.944)
Epoch: [9][7770/14090]	Time 0.734 (0.768)	Data 0.001 (0.001)	Loss 2.7489 (2.7943)	Prec@1 33.594 (33.637)	Prec@5 64.062 (63.944)
Epoch: [9][7780/14090]	Time 0.767 (0.768)	Data 0.001 (0.001)	Loss 2.6632 (2.7943)	Prec@1 35.156 (33.637)	Prec@5 67.188 (63.946)
Epoch: [9][7790/14090]	Time 0.740 (0.768)	Data 0.001 (0.001)	Loss 2.7796 (2.7943)	Prec@1 35.156 (33.637)	Prec@5 62.500 (63.945)
Epoch: [9][7800/14090]	Time 0.765 (0.768)	Data 0.001 (0.001)	Loss 2.6845 (2.7942)	Prec@1 35.938 (33.638)	Prec@5 66.406 (63.946)
Epoch: [9][7810/14090]	Time 0.763 (0.768)	Data 0.001 (0.001)	Loss 2.8207 (2.7942)	Prec@1 35.156 (33.636)	Prec@5 67.188 (63.947)
Epoch: [9][7820/14090]	Time 0.759 (0.768)	Data 0.001 (0.001)	Loss 2.9190 (2.7943)	Prec@1 26.562 (33.635)	Prec@5 63.281 (63.946)
Epoch: [9][7830/14090]	Time 0.882 (0.768)	Data 0.001 (0.001)	Loss 3.0274 (2.7943)	Prec@1 33.594 (33.635)	Prec@5 58.594 (63.944)
Epoch: [9][7840/14090]	Time 0.735 (0.768)	Data 0.001 (0.001)	Loss 2.6570 (2.7943)	Prec@1 33.594 (33.635)	Prec@5 66.406 (63.943)
Epoch: [9][7850/14090]	Time 0.742 (0.768)	Data 0.001 (0.001)	Loss 2.7397 (2.7943)	Prec@1 38.281 (33.634)	Prec@5 65.625 (63.942)
Epoch: [9][7860/14090]	Time 0.726 (0.768)	Data 0.001 (0.001)	Loss 2.6379 (2.7944)	Prec@1 38.281 (33.632)	Prec@5 63.281 (63.942)
Epoch: [9][7870/14090]	Time 0.758 (0.768)	Data 0.001 (0.001)	Loss 2.8519 (2.7943)	Prec@1 31.250 (33.631)	Prec@5 63.281 (63.942)
Epoch: [9][7880/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 2.4911 (2.7943)	Prec@1 43.750 (33.634)	Prec@5 67.969 (63.943)
Epoch: [9][7890/14090]	Time 0.758 (0.768)	Data 0.001 (0.001)	Loss 2.7893 (2.7942)	Prec@1 27.344 (33.634)	Prec@5 63.281 (63.945)
Epoch: [9][7900/14090]	Time 0.839 (0.768)	Data 0.001 (0.001)	Loss 2.5487 (2.7941)	Prec@1 40.625 (33.637)	Prec@5 65.625 (63.947)
Epoch: [9][7910/14090]	Time 0.749 (0.768)	Data 0.001 (0.001)	Loss 2.7247 (2.7941)	Prec@1 29.688 (33.638)	Prec@5 63.281 (63.947)
Epoch: [9][7920/14090]	Time 0.752 (0.768)	Data 0.001 (0.001)	Loss 2.7663 (2.7940)	Prec@1 36.719 (33.639)	Prec@5 63.281 (63.949)
Epoch: [9][7930/14090]	Time 0.756 (0.768)	Data 0.001 (0.001)	Loss 2.9357 (2.7940)	Prec@1 27.344 (33.639)	Prec@5 65.625 (63.949)
Epoch: [9][7940/14090]	Time 0.727 (0.768)	Data 0.001 (0.001)	Loss 2.7869 (2.7940)	Prec@1 28.906 (33.638)	Prec@5 65.625 (63.950)
Epoch: [9][7950/14090]	Time 0.735 (0.768)	Data 0.001 (0.001)	Loss 3.0343 (2.7941)	Prec@1 28.125 (33.636)	Prec@5 61.719 (63.948)
Epoch: [9][7960/14090]	Time 0.742 (0.768)	Data 0.001 (0.001)	Loss 2.9506 (2.7941)	Prec@1 33.594 (33.637)	Prec@5 63.281 (63.949)
Epoch: [9][7970/14090]	Time 0.932 (0.768)	Data 0.001 (0.001)	Loss 2.6345 (2.7941)	Prec@1 36.719 (33.639)	Prec@5 66.406 (63.949)
Epoch: [9][7980/14090]	Time 0.723 (0.768)	Data 0.001 (0.001)	Loss 2.7458 (2.7940)	Prec@1 37.500 (33.641)	Prec@5 66.406 (63.950)
Epoch: [9][7990/14090]	Time 0.773 (0.768)	Data 0.001 (0.001)	Loss 2.8350 (2.7940)	Prec@1 32.812 (33.644)	Prec@5 58.594 (63.950)
Epoch: [9][8000/14090]	Time 0.743 (0.768)	Data 0.001 (0.001)	Loss 2.9349 (2.7940)	Prec@1 32.812 (33.644)	Prec@5 59.375 (63.951)
Epoch: [9][8010/14090]	Time 0.749 (0.768)	Data 0.001 (0.001)	Loss 2.8103 (2.7940)	Prec@1 34.375 (33.643)	Prec@5 70.312 (63.953)
Epoch: [9][8020/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 2.7096 (2.7941)	Prec@1 38.281 (33.644)	Prec@5 65.625 (63.951)
Epoch: [9][8030/14090]	Time 0.765 (0.768)	Data 0.001 (0.001)	Loss 2.7047 (2.7941)	Prec@1 34.375 (33.643)	Prec@5 66.406 (63.952)
Epoch: [9][8040/14090]	Time 0.848 (0.768)	Data 0.001 (0.001)	Loss 2.7308 (2.7941)	Prec@1 35.938 (33.646)	Prec@5 65.625 (63.952)
Epoch: [9][8050/14090]	Time 0.758 (0.768)	Data 0.001 (0.001)	Loss 2.8632 (2.7940)	Prec@1 34.375 (33.647)	Prec@5 62.500 (63.950)
Epoch: [9][8060/14090]	Time 0.768 (0.768)	Data 0.001 (0.001)	Loss 2.7515 (2.7941)	Prec@1 33.594 (33.645)	Prec@5 62.500 (63.951)
Epoch: [9][8070/14090]	Time 0.749 (0.768)	Data 0.001 (0.001)	Loss 2.7174 (2.7941)	Prec@1 36.719 (33.644)	Prec@5 61.719 (63.948)
Epoch: [9][8080/14090]	Time 0.751 (0.768)	Data 0.001 (0.001)	Loss 3.0331 (2.7941)	Prec@1 25.781 (33.644)	Prec@5 63.281 (63.950)
Epoch: [9][8090/14090]	Time 0.761 (0.768)	Data 0.001 (0.001)	Loss 2.7862 (2.7941)	Prec@1 31.250 (33.641)	Prec@5 61.719 (63.951)
Epoch: [9][8100/14090]	Time 0.756 (0.768)	Data 0.001 (0.001)	Loss 3.0301 (2.7941)	Prec@1 35.156 (33.642)	Prec@5 60.938 (63.952)
Epoch: [9][8110/14090]	Time 0.853 (0.768)	Data 0.001 (0.001)	Loss 2.9991 (2.7941)	Prec@1 30.469 (33.641)	Prec@5 61.719 (63.952)
Epoch: [9][8120/14090]	Time 0.754 (0.768)	Data 0.001 (0.001)	Loss 2.9353 (2.7941)	Prec@1 32.812 (33.639)	Prec@5 62.500 (63.952)
Epoch: [9][8130/14090]	Time 0.727 (0.768)	Data 0.001 (0.001)	Loss 2.8269 (2.7940)	Prec@1 32.031 (33.641)	Prec@5 61.719 (63.953)
Epoch: [9][8140/14090]	Time 0.729 (0.768)	Data 0.001 (0.001)	Loss 2.6065 (2.7941)	Prec@1 34.375 (33.639)	Prec@5 67.188 (63.952)
Epoch: [9][8150/14090]	Time 0.760 (0.768)	Data 0.001 (0.001)	Loss 2.8559 (2.7942)	Prec@1 27.344 (33.636)	Prec@5 64.844 (63.950)
Epoch: [9][8160/14090]	Time 0.759 (0.768)	Data 0.001 (0.001)	Loss 3.0885 (2.7942)	Prec@1 32.031 (33.636)	Prec@5 55.469 (63.948)
Epoch: [9][8170/14090]	Time 0.756 (0.768)	Data 0.002 (0.001)	Loss 2.6526 (2.7942)	Prec@1 38.281 (33.636)	Prec@5 60.938 (63.948)
Epoch: [9][8180/14090]	Time 0.881 (0.768)	Data 0.001 (0.001)	Loss 2.6833 (2.7942)	Prec@1 38.281 (33.637)	Prec@5 71.094 (63.951)
Epoch: [9][8190/14090]	Time 0.757 (0.768)	Data 0.001 (0.001)	Loss 2.8777 (2.7942)	Prec@1 29.688 (33.636)	Prec@5 64.844 (63.951)
Epoch: [9][8200/14090]	Time 0.744 (0.768)	Data 0.001 (0.001)	Loss 2.7602 (2.7942)	Prec@1 37.500 (33.635)	Prec@5 70.312 (63.951)
Epoch: [9][8210/14090]	Time 0.781 (0.768)	Data 0.001 (0.001)	Loss 2.7655 (2.7942)	Prec@1 36.719 (33.636)	Prec@5 62.500 (63.952)
Epoch: [9][8220/14090]	Time 0.725 (0.768)	Data 0.001 (0.001)	Loss 2.8206 (2.7942)	Prec@1 34.375 (33.638)	Prec@5 65.625 (63.951)
Epoch: [9][8230/14090]	Time 0.759 (0.768)	Data 0.001 (0.001)	Loss 2.4577 (2.7941)	Prec@1 34.375 (33.638)	Prec@5 75.000 (63.953)
Epoch: [9][8240/14090]	Time 0.774 (0.768)	Data 0.001 (0.001)	Loss 2.5709 (2.7942)	Prec@1 42.188 (33.635)	Prec@5 71.094 (63.952)
Epoch: [9][8250/14090]	Time 0.903 (0.768)	Data 0.001 (0.001)	Loss 2.7514 (2.7942)	Prec@1 35.938 (33.633)	Prec@5 59.375 (63.953)
Epoch: [9][8260/14090]	Time 0.726 (0.768)	Data 0.001 (0.001)	Loss 2.8505 (2.7942)	Prec@1 29.688 (33.630)	Prec@5 61.719 (63.953)
Epoch: [9][8270/14090]	Time 0.763 (0.768)	Data 0.001 (0.001)	Loss 2.8630 (2.7941)	Prec@1 30.469 (33.633)	Prec@5 65.625 (63.955)
Epoch: [9][8280/14090]	Time 0.741 (0.768)	Data 0.001 (0.001)	Loss 2.6872 (2.7942)	Prec@1 39.062 (33.631)	Prec@5 67.188 (63.952)
Epoch: [9][8290/14090]	Time 0.750 (0.768)	Data 0.001 (0.001)	Loss 2.4898 (2.7943)	Prec@1 36.719 (33.628)	Prec@5 66.406 (63.948)
Epoch: [9][8300/14090]	Time 0.764 (0.768)	Data 0.001 (0.001)	Loss 2.7633 (2.7944)	Prec@1 32.812 (33.626)	Prec@5 60.156 (63.947)
Epoch: [9][8310/14090]	Time 0.755 (0.768)	Data 0.002 (0.001)	Loss 2.5274 (2.7945)	Prec@1 33.594 (33.623)	Prec@5 70.312 (63.943)
Epoch: [9][8320/14090]	Time 0.878 (0.768)	Data 0.001 (0.001)	Loss 2.7223 (2.7945)	Prec@1 33.594 (33.623)	Prec@5 60.156 (63.942)
Epoch: [9][8330/14090]	Time 0.727 (0.768)	Data 0.001 (0.001)	Loss 2.8175 (2.7945)	Prec@1 30.469 (33.622)	Prec@5 62.500 (63.940)
Epoch: [9][8340/14090]	Time 0.743 (0.768)	Data 0.001 (0.001)	Loss 2.9856 (2.7945)	Prec@1 33.594 (33.623)	Prec@5 59.375 (63.941)
Epoch: [9][8350/14090]	Time 0.776 (0.768)	Data 0.001 (0.001)	Loss 2.8091 (2.7945)	Prec@1 33.594 (33.625)	Prec@5 63.281 (63.943)
Epoch: [9][8360/14090]	Time 0.767 (0.768)	Data 0.001 (0.001)	Loss 2.5065 (2.7945)	Prec@1 41.406 (33.626)	Prec@5 73.438 (63.940)
Epoch: [9][8370/14090]	Time 0.768 (0.768)	Data 0.001 (0.001)	Loss 3.0329 (2.7946)	Prec@1 26.562 (33.626)	Prec@5 60.938 (63.940)
Epoch: [9][8380/14090]	Time 0.740 (0.768)	Data 0.001 (0.001)	Loss 2.8179 (2.7946)	Prec@1 36.719 (33.625)	Prec@5 62.500 (63.939)
Epoch: [9][8390/14090]	Time 0.880 (0.768)	Data 0.001 (0.001)	Loss 2.7201 (2.7946)	Prec@1 34.375 (33.626)	Prec@5 65.625 (63.939)
Epoch: [9][8400/14090]	Time 0.725 (0.768)	Data 0.001 (0.001)	Loss 3.1614 (2.7947)	Prec@1 25.000 (33.627)	Prec@5 53.906 (63.939)
Epoch: [9][8410/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 2.6140 (2.7946)	Prec@1 35.156 (33.627)	Prec@5 66.406 (63.942)
Epoch: [9][8420/14090]	Time 0.750 (0.768)	Data 0.001 (0.001)	Loss 3.0046 (2.7946)	Prec@1 32.031 (33.628)	Prec@5 57.031 (63.943)
Epoch: [9][8430/14090]	Time 0.745 (0.768)	Data 0.001 (0.001)	Loss 2.2731 (2.7945)	Prec@1 48.438 (33.630)	Prec@5 77.344 (63.945)
Epoch: [9][8440/14090]	Time 0.759 (0.768)	Data 0.001 (0.001)	Loss 2.8556 (2.7945)	Prec@1 31.250 (33.628)	Prec@5 67.188 (63.945)
Epoch: [9][8450/14090]	Time 0.746 (0.768)	Data 0.002 (0.001)	Loss 2.6849 (2.7946)	Prec@1 39.062 (33.627)	Prec@5 63.281 (63.943)
Epoch: [9][8460/14090]	Time 0.874 (0.768)	Data 0.001 (0.001)	Loss 2.6643 (2.7947)	Prec@1 32.031 (33.624)	Prec@5 65.625 (63.940)
Epoch: [9][8470/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 2.5707 (2.7947)	Prec@1 37.500 (33.623)	Prec@5 66.406 (63.939)
Epoch: [9][8480/14090]	Time 0.778 (0.768)	Data 0.001 (0.001)	Loss 2.5322 (2.7946)	Prec@1 35.156 (33.625)	Prec@5 70.312 (63.940)
Epoch: [9][8490/14090]	Time 0.757 (0.768)	Data 0.001 (0.001)	Loss 2.6289 (2.7945)	Prec@1 32.812 (33.627)	Prec@5 68.750 (63.943)
Epoch: [9][8500/14090]	Time 0.769 (0.768)	Data 0.001 (0.001)	Loss 3.2406 (2.7946)	Prec@1 29.688 (33.626)	Prec@5 53.125 (63.942)
Epoch: [9][8510/14090]	Time 0.772 (0.768)	Data 0.001 (0.001)	Loss 2.5424 (2.7946)	Prec@1 39.062 (33.625)	Prec@5 66.406 (63.943)
Epoch: [9][8520/14090]	Time 0.747 (0.768)	Data 0.001 (0.001)	Loss 2.7061 (2.7946)	Prec@1 32.031 (33.625)	Prec@5 66.406 (63.945)
Epoch: [9][8530/14090]	Time 0.844 (0.768)	Data 0.001 (0.001)	Loss 2.5665 (2.7946)	Prec@1 34.375 (33.624)	Prec@5 64.844 (63.942)
Epoch: [9][8540/14090]	Time 0.774 (0.768)	Data 0.001 (0.001)	Loss 2.7332 (2.7946)	Prec@1 39.062 (33.625)	Prec@5 63.281 (63.942)
Epoch: [9][8550/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 2.5190 (2.7946)	Prec@1 39.062 (33.626)	Prec@5 64.844 (63.940)
Epoch: [9][8560/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 3.0600 (2.7946)	Prec@1 34.375 (33.629)	Prec@5 59.375 (63.940)
Epoch: [9][8570/14090]	Time 0.779 (0.768)	Data 0.001 (0.001)	Loss 2.8244 (2.7946)	Prec@1 33.594 (33.628)	Prec@5 60.156 (63.939)
Epoch: [9][8580/14090]	Time 0.759 (0.768)	Data 0.001 (0.001)	Loss 2.5267 (2.7946)	Prec@1 33.594 (33.628)	Prec@5 71.094 (63.940)
Epoch: [9][8590/14090]	Time 0.729 (0.768)	Data 0.001 (0.001)	Loss 2.6257 (2.7945)	Prec@1 35.156 (33.629)	Prec@5 67.969 (63.942)
Epoch: [9][8600/14090]	Time 0.863 (0.768)	Data 0.001 (0.001)	Loss 2.7863 (2.7945)	Prec@1 31.250 (33.629)	Prec@5 64.062 (63.943)
Epoch: [9][8610/14090]	Time 0.727 (0.768)	Data 0.001 (0.001)	Loss 2.8066 (2.7946)	Prec@1 35.938 (33.628)	Prec@5 60.938 (63.942)
Epoch: [9][8620/14090]	Time 0.741 (0.768)	Data 0.001 (0.001)	Loss 2.8748 (2.7946)	Prec@1 36.719 (33.629)	Prec@5 65.625 (63.942)
Epoch: [9][8630/14090]	Time 0.755 (0.768)	Data 0.001 (0.001)	Loss 3.0165 (2.7946)	Prec@1 29.688 (33.627)	Prec@5 59.375 (63.942)
Epoch: [9][8640/14090]	Time 0.784 (0.768)	Data 0.001 (0.001)	Loss 2.9225 (2.7947)	Prec@1 32.031 (33.625)	Prec@5 62.500 (63.942)
Epoch: [9][8650/14090]	Time 0.782 (0.768)	Data 0.001 (0.001)	Loss 2.8293 (2.7947)	Prec@1 37.500 (33.626)	Prec@5 66.406 (63.942)
Epoch: [9][8660/14090]	Time 0.760 (0.768)	Data 0.001 (0.001)	Loss 2.8406 (2.7947)	Prec@1 33.594 (33.626)	Prec@5 64.844 (63.942)
Epoch: [9][8670/14090]	Time 0.838 (0.768)	Data 0.001 (0.001)	Loss 2.7332 (2.7947)	Prec@1 32.812 (33.628)	Prec@5 67.188 (63.941)
Epoch: [9][8680/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 2.9725 (2.7948)	Prec@1 26.562 (33.625)	Prec@5 60.938 (63.938)
Epoch: [9][8690/14090]	Time 0.743 (0.768)	Data 0.001 (0.001)	Loss 2.7557 (2.7947)	Prec@1 31.250 (33.627)	Prec@5 66.406 (63.940)
Epoch: [9][8700/14090]	Time 0.771 (0.768)	Data 0.001 (0.001)	Loss 3.0585 (2.7949)	Prec@1 30.469 (33.625)	Prec@5 58.594 (63.938)
Epoch: [9][8710/14090]	Time 0.747 (0.768)	Data 0.001 (0.001)	Loss 2.8943 (2.7949)	Prec@1 35.156 (33.624)	Prec@5 60.156 (63.937)
Epoch: [9][8720/14090]	Time 0.743 (0.768)	Data 0.001 (0.001)	Loss 2.6234 (2.7950)	Prec@1 41.406 (33.624)	Prec@5 71.875 (63.937)
Epoch: [9][8730/14090]	Time 0.745 (0.768)	Data 0.001 (0.001)	Loss 2.8772 (2.7949)	Prec@1 34.375 (33.625)	Prec@5 64.062 (63.937)
Epoch: [9][8740/14090]	Time 0.861 (0.768)	Data 0.001 (0.001)	Loss 2.8830 (2.7950)	Prec@1 30.469 (33.625)	Prec@5 63.281 (63.936)
Epoch: [9][8750/14090]	Time 0.749 (0.768)	Data 0.001 (0.001)	Loss 2.7170 (2.7950)	Prec@1 35.156 (33.627)	Prec@5 66.406 (63.936)
Epoch: [9][8760/14090]	Time 0.773 (0.768)	Data 0.001 (0.001)	Loss 3.1982 (2.7950)	Prec@1 26.562 (33.626)	Prec@5 53.125 (63.934)
Epoch: [9][8770/14090]	Time 0.761 (0.768)	Data 0.001 (0.001)	Loss 2.9634 (2.7949)	Prec@1 33.594 (33.628)	Prec@5 53.906 (63.934)
Epoch: [9][8780/14090]	Time 0.762 (0.768)	Data 0.001 (0.001)	Loss 2.7108 (2.7949)	Prec@1 32.812 (33.627)	Prec@5 67.188 (63.934)
Epoch: [9][8790/14090]	Time 0.763 (0.768)	Data 0.001 (0.001)	Loss 2.7335 (2.7949)	Prec@1 30.469 (33.626)	Prec@5 65.625 (63.935)
Epoch: [9][8800/14090]	Time 0.750 (0.768)	Data 0.001 (0.001)	Loss 2.8782 (2.7949)	Prec@1 32.031 (33.627)	Prec@5 53.906 (63.934)
Epoch: [9][8810/14090]	Time 0.886 (0.768)	Data 0.001 (0.001)	Loss 2.9510 (2.7950)	Prec@1 35.156 (33.625)	Prec@5 63.281 (63.933)
Epoch: [9][8820/14090]	Time 0.758 (0.768)	Data 0.001 (0.001)	Loss 2.8443 (2.7950)	Prec@1 35.938 (33.623)	Prec@5 64.844 (63.933)
Epoch: [9][8830/14090]	Time 0.741 (0.768)	Data 0.001 (0.001)	Loss 2.9385 (2.7950)	Prec@1 30.469 (33.623)	Prec@5 61.719 (63.932)
Epoch: [9][8840/14090]	Time 0.748 (0.768)	Data 0.002 (0.001)	Loss 2.7777 (2.7950)	Prec@1 33.594 (33.622)	Prec@5 67.969 (63.935)
Epoch: [9][8850/14090]	Time 0.782 (0.768)	Data 0.001 (0.001)	Loss 2.9070 (2.7950)	Prec@1 28.906 (33.621)	Prec@5 58.594 (63.936)
Epoch: [9][8860/14090]	Time 0.748 (0.768)	Data 0.001 (0.001)	Loss 3.0467 (2.7950)	Prec@1 28.906 (33.620)	Prec@5 58.594 (63.934)
Epoch: [9][8870/14090]	Time 0.747 (0.768)	Data 0.001 (0.001)	Loss 2.8277 (2.7949)	Prec@1 32.812 (33.622)	Prec@5 64.844 (63.938)
Epoch: [9][8880/14090]	Time 0.876 (0.768)	Data 0.001 (0.001)	Loss 2.6144 (2.7949)	Prec@1 38.281 (33.622)	Prec@5 66.406 (63.938)
Epoch: [9][8890/14090]	Time 0.752 (0.768)	Data 0.001 (0.001)	Loss 2.6141 (2.7948)	Prec@1 36.719 (33.622)	Prec@5 66.406 (63.937)
Epoch: [9][8900/14090]	Time 0.743 (0.768)	Data 0.001 (0.001)	Loss 2.6723 (2.7948)	Prec@1 39.062 (33.624)	Prec@5 64.062 (63.937)
Epoch: [9][8910/14090]	Time 0.754 (0.768)	Data 0.001 (0.001)	Loss 2.7805 (2.7948)	Prec@1 37.500 (33.624)	Prec@5 57.812 (63.937)
Epoch: [9][8920/14090]	Time 0.751 (0.768)	Data 0.001 (0.001)	Loss 2.7817 (2.7947)	Prec@1 30.469 (33.625)	Prec@5 60.156 (63.938)
Epoch: [9][8930/14090]	Time 0.744 (0.768)	Data 0.001 (0.001)	Loss 2.9150 (2.7948)	Prec@1 29.688 (33.625)	Prec@5 61.719 (63.936)
Epoch: [9][8940/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 2.6474 (2.7948)	Prec@1 32.031 (33.623)	Prec@5 61.719 (63.937)
Epoch: [9][8950/14090]	Time 0.883 (0.768)	Data 0.001 (0.001)	Loss 2.9002 (2.7948)	Prec@1 33.594 (33.623)	Prec@5 65.625 (63.937)
Epoch: [9][8960/14090]	Time 0.760 (0.768)	Data 0.001 (0.001)	Loss 2.7437 (2.7948)	Prec@1 31.250 (33.623)	Prec@5 67.188 (63.938)
Epoch: [9][8970/14090]	Time 0.745 (0.768)	Data 0.001 (0.001)	Loss 2.7898 (2.7947)	Prec@1 32.812 (33.626)	Prec@5 63.281 (63.938)
Epoch: [9][8980/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 2.8384 (2.7948)	Prec@1 34.375 (33.625)	Prec@5 61.719 (63.937)
Epoch: [9][8990/14090]	Time 0.749 (0.768)	Data 0.002 (0.001)	Loss 2.4077 (2.7948)	Prec@1 43.750 (33.625)	Prec@5 75.781 (63.936)
Epoch: [9][9000/14090]	Time 0.759 (0.768)	Data 0.001 (0.001)	Loss 2.6195 (2.7949)	Prec@1 35.156 (33.624)	Prec@5 65.625 (63.932)
Epoch: [9][9010/14090]	Time 0.737 (0.768)	Data 0.001 (0.001)	Loss 2.8855 (2.7949)	Prec@1 24.219 (33.621)	Prec@5 65.625 (63.932)
Epoch: [9][9020/14090]	Time 0.880 (0.768)	Data 0.001 (0.001)	Loss 3.0305 (2.7949)	Prec@1 28.906 (33.621)	Prec@5 59.375 (63.932)
Epoch: [9][9030/14090]	Time 0.722 (0.768)	Data 0.001 (0.001)	Loss 2.7627 (2.7950)	Prec@1 34.375 (33.619)	Prec@5 64.062 (63.928)
Epoch: [9][9040/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 2.9708 (2.7950)	Prec@1 25.000 (33.619)	Prec@5 63.281 (63.928)
Epoch: [9][9050/14090]	Time 0.754 (0.768)	Data 0.003 (0.001)	Loss 2.7406 (2.7949)	Prec@1 29.688 (33.619)	Prec@5 63.281 (63.930)
Epoch: [9][9060/14090]	Time 0.754 (0.768)	Data 0.001 (0.001)	Loss 2.8692 (2.7949)	Prec@1 35.156 (33.618)	Prec@5 60.156 (63.929)
Epoch: [9][9070/14090]	Time 0.729 (0.768)	Data 0.001 (0.001)	Loss 2.9186 (2.7950)	Prec@1 28.906 (33.619)	Prec@5 61.719 (63.927)
Epoch: [9][9080/14090]	Time 0.760 (0.768)	Data 0.001 (0.001)	Loss 2.6902 (2.7950)	Prec@1 35.156 (33.619)	Prec@5 67.969 (63.927)
Epoch: [9][9090/14090]	Time 0.855 (0.768)	Data 0.001 (0.001)	Loss 2.8443 (2.7951)	Prec@1 31.250 (33.618)	Prec@5 62.500 (63.927)
Epoch: [9][9100/14090]	Time 0.752 (0.768)	Data 0.001 (0.001)	Loss 2.8230 (2.7951)	Prec@1 36.719 (33.618)	Prec@5 67.188 (63.928)
Epoch: [9][9110/14090]	Time 0.758 (0.768)	Data 0.001 (0.001)	Loss 2.6283 (2.7951)	Prec@1 33.594 (33.618)	Prec@5 64.844 (63.927)
Epoch: [9][9120/14090]	Time 0.727 (0.768)	Data 0.001 (0.001)	Loss 2.9920 (2.7952)	Prec@1 32.031 (33.617)	Prec@5 61.719 (63.925)
Epoch: [9][9130/14090]	Time 0.759 (0.768)	Data 0.001 (0.001)	Loss 2.8164 (2.7953)	Prec@1 31.250 (33.615)	Prec@5 61.719 (63.924)
Epoch: [9][9140/14090]	Time 0.758 (0.768)	Data 0.001 (0.001)	Loss 3.1473 (2.7953)	Prec@1 25.000 (33.613)	Prec@5 59.375 (63.924)
Epoch: [9][9150/14090]	Time 0.722 (0.768)	Data 0.001 (0.001)	Loss 3.1684 (2.7954)	Prec@1 25.000 (33.612)	Prec@5 60.938 (63.921)
Epoch: [9][9160/14090]	Time 0.874 (0.768)	Data 0.001 (0.001)	Loss 2.6376 (2.7955)	Prec@1 32.031 (33.612)	Prec@5 64.844 (63.922)
Epoch: [9][9170/14090]	Time 0.746 (0.768)	Data 0.001 (0.001)	Loss 3.1017 (2.7955)	Prec@1 29.688 (33.613)	Prec@5 55.469 (63.921)
Epoch: [9][9180/14090]	Time 0.750 (0.768)	Data 0.001 (0.001)	Loss 2.6296 (2.7954)	Prec@1 37.500 (33.612)	Prec@5 64.062 (63.923)
Epoch: [9][9190/14090]	Time 0.725 (0.768)	Data 0.001 (0.001)	Loss 2.7749 (2.7954)	Prec@1 32.031 (33.612)	Prec@5 67.969 (63.922)
Epoch: [9][9200/14090]	Time 0.749 (0.768)	Data 0.002 (0.001)	Loss 2.6442 (2.7954)	Prec@1 32.812 (33.612)	Prec@5 70.312 (63.922)
Epoch: [9][9210/14090]	Time 0.734 (0.768)	Data 0.001 (0.001)	Loss 2.6312 (2.7954)	Prec@1 36.719 (33.614)	Prec@5 71.875 (63.920)
Epoch: [9][9220/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 2.9917 (2.7955)	Prec@1 31.250 (33.613)	Prec@5 60.938 (63.921)
Epoch: [9][9230/14090]	Time 0.874 (0.768)	Data 0.001 (0.001)	Loss 2.7572 (2.7953)	Prec@1 35.156 (33.614)	Prec@5 60.156 (63.923)
Epoch: [9][9240/14090]	Time 0.749 (0.768)	Data 0.001 (0.001)	Loss 2.8513 (2.7954)	Prec@1 32.031 (33.614)	Prec@5 61.719 (63.922)
Epoch: [9][9250/14090]	Time 0.725 (0.768)	Data 0.001 (0.001)	Loss 2.8760 (2.7953)	Prec@1 32.031 (33.616)	Prec@5 63.281 (63.923)
Epoch: [9][9260/14090]	Time 0.750 (0.768)	Data 0.001 (0.001)	Loss 2.9809 (2.7952)	Prec@1 28.906 (33.618)	Prec@5 57.812 (63.925)
Epoch: [9][9270/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 2.4908 (2.7951)	Prec@1 40.625 (33.620)	Prec@5 66.406 (63.927)
Epoch: [9][9280/14090]	Time 0.740 (0.768)	Data 0.001 (0.001)	Loss 2.7706 (2.7951)	Prec@1 32.031 (33.619)	Prec@5 65.625 (63.928)
Epoch: [9][9290/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 2.7903 (2.7952)	Prec@1 31.250 (33.618)	Prec@5 68.750 (63.927)
Epoch: [9][9300/14090]	Time 0.862 (0.768)	Data 0.001 (0.001)	Loss 2.9072 (2.7952)	Prec@1 35.938 (33.616)	Prec@5 60.938 (63.927)
Epoch: [9][9310/14090]	Time 0.743 (0.768)	Data 0.001 (0.001)	Loss 2.6418 (2.7951)	Prec@1 36.719 (33.620)	Prec@5 66.406 (63.932)
Epoch: [9][9320/14090]	Time 0.756 (0.768)	Data 0.001 (0.001)	Loss 2.7856 (2.7950)	Prec@1 36.719 (33.621)	Prec@5 62.500 (63.933)
Epoch: [9][9330/14090]	Time 0.751 (0.768)	Data 0.001 (0.001)	Loss 3.2211 (2.7951)	Prec@1 29.688 (33.620)	Prec@5 53.906 (63.931)
Epoch: [9][9340/14090]	Time 0.762 (0.768)	Data 0.001 (0.001)	Loss 2.9388 (2.7951)	Prec@1 29.688 (33.618)	Prec@5 60.938 (63.927)
Epoch: [9][9350/14090]	Time 0.746 (0.768)	Data 0.001 (0.001)	Loss 2.7708 (2.7952)	Prec@1 38.281 (33.617)	Prec@5 60.156 (63.926)
Epoch: [9][9360/14090]	Time 0.732 (0.768)	Data 0.001 (0.001)	Loss 2.9967 (2.7953)	Prec@1 32.812 (33.618)	Prec@5 57.031 (63.926)
Epoch: [9][9370/14090]	Time 0.896 (0.768)	Data 0.001 (0.001)	Loss 2.6044 (2.7953)	Prec@1 35.156 (33.617)	Prec@5 63.281 (63.925)
Epoch: [9][9380/14090]	Time 0.735 (0.768)	Data 0.001 (0.001)	Loss 3.0501 (2.7954)	Prec@1 30.469 (33.618)	Prec@5 59.375 (63.926)
Epoch: [9][9390/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 2.6064 (2.7953)	Prec@1 39.844 (33.620)	Prec@5 70.312 (63.925)
Epoch: [9][9400/14090]	Time 0.733 (0.768)	Data 0.001 (0.001)	Loss 2.9052 (2.7953)	Prec@1 32.812 (33.621)	Prec@5 64.844 (63.924)
Epoch: [9][9410/14090]	Time 0.756 (0.768)	Data 0.001 (0.001)	Loss 2.7234 (2.7953)	Prec@1 35.156 (33.621)	Prec@5 64.062 (63.922)
Epoch: [9][9420/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 2.7087 (2.7953)	Prec@1 35.156 (33.620)	Prec@5 65.625 (63.922)
Epoch: [9][9430/14090]	Time 0.775 (0.768)	Data 0.001 (0.001)	Loss 3.1004 (2.7955)	Prec@1 31.250 (33.618)	Prec@5 53.906 (63.918)
Epoch: [9][9440/14090]	Time 0.860 (0.768)	Data 0.001 (0.001)	Loss 2.3452 (2.7956)	Prec@1 38.281 (33.617)	Prec@5 69.531 (63.916)
Epoch: [9][9450/14090]	Time 0.754 (0.768)	Data 0.001 (0.001)	Loss 2.7534 (2.7955)	Prec@1 35.938 (33.618)	Prec@5 64.844 (63.917)
Epoch: [9][9460/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 2.6940 (2.7956)	Prec@1 32.812 (33.617)	Prec@5 62.500 (63.913)
Epoch: [9][9470/14090]	Time 0.771 (0.768)	Data 0.001 (0.001)	Loss 2.9686 (2.7956)	Prec@1 32.031 (33.617)	Prec@5 59.375 (63.912)
Epoch: [9][9480/14090]	Time 0.729 (0.768)	Data 0.001 (0.001)	Loss 2.5849 (2.7956)	Prec@1 38.281 (33.619)	Prec@5 70.312 (63.913)
Epoch: [9][9490/14090]	Time 0.730 (0.768)	Data 0.001 (0.001)	Loss 2.9168 (2.7956)	Prec@1 28.906 (33.619)	Prec@5 64.844 (63.912)
Epoch: [9][9500/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 2.6086 (2.7957)	Prec@1 31.250 (33.616)	Prec@5 67.969 (63.909)
Epoch: [9][9510/14090]	Time 0.905 (0.768)	Data 0.001 (0.001)	Loss 2.6476 (2.7957)	Prec@1 42.188 (33.616)	Prec@5 64.844 (63.908)
Epoch: [9][9520/14090]	Time 0.743 (0.768)	Data 0.001 (0.001)	Loss 2.7806 (2.7957)	Prec@1 38.281 (33.617)	Prec@5 65.625 (63.907)
Epoch: [9][9530/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 2.7809 (2.7957)	Prec@1 28.906 (33.613)	Prec@5 66.406 (63.906)
Epoch: [9][9540/14090]	Time 0.748 (0.768)	Data 0.001 (0.001)	Loss 3.0588 (2.7958)	Prec@1 28.125 (33.614)	Prec@5 55.469 (63.904)
Epoch: [9][9550/14090]	Time 0.766 (0.768)	Data 0.001 (0.001)	Loss 2.9217 (2.7958)	Prec@1 28.125 (33.612)	Prec@5 63.281 (63.905)
Epoch: [9][9560/14090]	Time 0.728 (0.768)	Data 0.001 (0.001)	Loss 2.9507 (2.7959)	Prec@1 33.594 (33.612)	Prec@5 63.281 (63.904)
Epoch: [9][9570/14090]	Time 0.734 (0.768)	Data 0.001 (0.001)	Loss 2.6821 (2.7959)	Prec@1 42.188 (33.612)	Prec@5 65.625 (63.904)
Epoch: [9][9580/14090]	Time 0.880 (0.768)	Data 0.001 (0.001)	Loss 2.6857 (2.7959)	Prec@1 34.375 (33.613)	Prec@5 64.844 (63.904)
Epoch: [9][9590/14090]	Time 0.729 (0.768)	Data 0.001 (0.001)	Loss 2.7742 (2.7958)	Prec@1 29.688 (33.614)	Prec@5 64.062 (63.907)
Epoch: [9][9600/14090]	Time 0.735 (0.768)	Data 0.001 (0.001)	Loss 2.7652 (2.7958)	Prec@1 32.812 (33.614)	Prec@5 64.062 (63.906)
Epoch: [9][9610/14090]	Time 0.740 (0.768)	Data 0.001 (0.001)	Loss 2.8611 (2.7958)	Prec@1 30.469 (33.612)	Prec@5 64.062 (63.906)
Epoch: [9][9620/14090]	Time 0.768 (0.768)	Data 0.001 (0.001)	Loss 2.6186 (2.7957)	Prec@1 37.500 (33.612)	Prec@5 67.188 (63.909)
Epoch: [9][9630/14090]	Time 0.757 (0.768)	Data 0.001 (0.001)	Loss 2.9033 (2.7958)	Prec@1 32.031 (33.610)	Prec@5 65.625 (63.909)
Epoch: [9][9640/14090]	Time 0.760 (0.768)	Data 0.001 (0.001)	Loss 2.6068 (2.7957)	Prec@1 42.969 (33.612)	Prec@5 67.969 (63.910)
Epoch: [9][9650/14090]	Time 0.890 (0.768)	Data 0.001 (0.001)	Loss 2.9858 (2.7956)	Prec@1 28.906 (33.614)	Prec@5 59.375 (63.910)
Epoch: [9][9660/14090]	Time 0.732 (0.768)	Data 0.001 (0.001)	Loss 2.7220 (2.7957)	Prec@1 38.281 (33.612)	Prec@5 64.062 (63.909)
Epoch: [9][9670/14090]	Time 0.771 (0.768)	Data 0.001 (0.001)	Loss 3.0167 (2.7957)	Prec@1 28.125 (33.611)	Prec@5 57.812 (63.909)
Epoch: [9][9680/14090]	Time 0.767 (0.768)	Data 0.001 (0.001)	Loss 3.1738 (2.7958)	Prec@1 25.781 (33.611)	Prec@5 62.500 (63.906)
Epoch: [9][9690/14090]	Time 0.766 (0.768)	Data 0.001 (0.001)	Loss 2.7819 (2.7957)	Prec@1 33.594 (33.613)	Prec@5 65.625 (63.906)
Epoch: [9][9700/14090]	Time 0.758 (0.768)	Data 0.001 (0.001)	Loss 2.8750 (2.7957)	Prec@1 36.719 (33.613)	Prec@5 61.719 (63.905)
Epoch: [9][9710/14090]	Time 0.757 (0.768)	Data 0.001 (0.001)	Loss 2.6700 (2.7958)	Prec@1 39.062 (33.611)	Prec@5 65.625 (63.904)
Epoch: [9][9720/14090]	Time 0.885 (0.768)	Data 0.001 (0.001)	Loss 2.8105 (2.7956)	Prec@1 35.938 (33.613)	Prec@5 59.375 (63.906)
Epoch: [9][9730/14090]	Time 0.778 (0.768)	Data 0.001 (0.001)	Loss 3.1460 (2.7957)	Prec@1 26.562 (33.612)	Prec@5 52.344 (63.905)
Epoch: [9][9740/14090]	Time 0.762 (0.768)	Data 0.001 (0.001)	Loss 3.1442 (2.7957)	Prec@1 29.688 (33.613)	Prec@5 54.688 (63.904)
Epoch: [9][9750/14090]	Time 0.763 (0.768)	Data 0.001 (0.001)	Loss 2.4401 (2.7957)	Prec@1 37.500 (33.613)	Prec@5 67.969 (63.903)
Epoch: [9][9760/14090]	Time 0.767 (0.768)	Data 0.001 (0.001)	Loss 3.0136 (2.7958)	Prec@1 28.906 (33.612)	Prec@5 60.156 (63.900)
Epoch: [9][9770/14090]	Time 0.755 (0.768)	Data 0.001 (0.001)	Loss 2.9148 (2.7958)	Prec@1 30.469 (33.610)	Prec@5 60.938 (63.898)
Epoch: [9][9780/14090]	Time 0.730 (0.768)	Data 0.001 (0.001)	Loss 2.8193 (2.7958)	Prec@1 32.812 (33.611)	Prec@5 60.938 (63.898)
Epoch: [9][9790/14090]	Time 0.879 (0.768)	Data 0.001 (0.001)	Loss 2.7185 (2.7958)	Prec@1 35.156 (33.611)	Prec@5 64.062 (63.898)
Epoch: [9][9800/14090]	Time 0.746 (0.768)	Data 0.001 (0.001)	Loss 2.8218 (2.7958)	Prec@1 32.812 (33.611)	Prec@5 64.062 (63.897)
Epoch: [9][9810/14090]	Time 0.747 (0.768)	Data 0.001 (0.001)	Loss 2.6512 (2.7959)	Prec@1 34.375 (33.611)	Prec@5 67.188 (63.898)
Epoch: [9][9820/14090]	Time 0.754 (0.768)	Data 0.001 (0.001)	Loss 2.8087 (2.7959)	Prec@1 30.469 (33.611)	Prec@5 62.500 (63.900)
Epoch: [9][9830/14090]	Time 0.751 (0.768)	Data 0.001 (0.001)	Loss 2.9957 (2.7959)	Prec@1 29.688 (33.611)	Prec@5 63.281 (63.898)
Epoch: [9][9840/14090]	Time 0.766 (0.768)	Data 0.001 (0.001)	Loss 3.0029 (2.7959)	Prec@1 28.125 (33.612)	Prec@5 60.938 (63.898)
Epoch: [9][9850/14090]	Time 0.732 (0.768)	Data 0.001 (0.001)	Loss 2.4408 (2.7959)	Prec@1 42.188 (33.613)	Prec@5 67.969 (63.899)
Epoch: [9][9860/14090]	Time 0.906 (0.768)	Data 0.001 (0.001)	Loss 3.0521 (2.7958)	Prec@1 30.469 (33.613)	Prec@5 59.375 (63.899)
Epoch: [9][9870/14090]	Time 0.764 (0.768)	Data 0.001 (0.001)	Loss 2.6382 (2.7958)	Prec@1 29.688 (33.612)	Prec@5 67.969 (63.901)
Epoch: [9][9880/14090]	Time 0.749 (0.768)	Data 0.001 (0.001)	Loss 2.7258 (2.7959)	Prec@1 35.156 (33.611)	Prec@5 67.188 (63.901)
Epoch: [9][9890/14090]	Time 0.752 (0.768)	Data 0.001 (0.001)	Loss 2.6828 (2.7959)	Prec@1 38.281 (33.610)	Prec@5 67.188 (63.900)
Epoch: [9][9900/14090]	Time 0.755 (0.768)	Data 0.001 (0.001)	Loss 2.9272 (2.7958)	Prec@1 23.438 (33.610)	Prec@5 59.375 (63.902)
Epoch: [9][9910/14090]	Time 0.733 (0.768)	Data 0.001 (0.001)	Loss 2.8852 (2.7959)	Prec@1 31.250 (33.608)	Prec@5 63.281 (63.901)
Epoch: [9][9920/14090]	Time 0.744 (0.768)	Data 0.001 (0.001)	Loss 2.7515 (2.7959)	Prec@1 32.812 (33.608)	Prec@5 61.719 (63.902)
Epoch: [9][9930/14090]	Time 0.886 (0.768)	Data 0.001 (0.001)	Loss 3.0919 (2.7960)	Prec@1 25.000 (33.608)	Prec@5 57.031 (63.901)
Epoch: [9][9940/14090]	Time 0.745 (0.768)	Data 0.001 (0.001)	Loss 3.2786 (2.7960)	Prec@1 19.531 (33.607)	Prec@5 57.031 (63.902)
Epoch: [9][9950/14090]	Time 0.722 (0.768)	Data 0.001 (0.001)	Loss 2.6564 (2.7960)	Prec@1 35.156 (33.606)	Prec@5 65.625 (63.900)
Epoch: [9][9960/14090]	Time 0.758 (0.768)	Data 0.001 (0.001)	Loss 2.7040 (2.7960)	Prec@1 31.250 (33.606)	Prec@5 62.500 (63.900)
Epoch: [9][9970/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 2.6694 (2.7959)	Prec@1 36.719 (33.609)	Prec@5 67.969 (63.903)
Epoch: [9][9980/14090]	Time 0.747 (0.768)	Data 0.001 (0.001)	Loss 2.6734 (2.7959)	Prec@1 32.812 (33.608)	Prec@5 64.844 (63.902)
Epoch: [9][9990/14090]	Time 0.754 (0.768)	Data 0.001 (0.001)	Loss 2.7273 (2.7958)	Prec@1 30.469 (33.609)	Prec@5 66.406 (63.903)
Epoch: [9][10000/14090]	Time 0.891 (0.768)	Data 0.001 (0.001)	Loss 2.7852 (2.7958)	Prec@1 28.906 (33.611)	Prec@5 61.719 (63.903)
Epoch: [9][10010/14090]	Time 0.747 (0.768)	Data 0.001 (0.001)	Loss 2.7828 (2.7957)	Prec@1 29.688 (33.610)	Prec@5 64.062 (63.903)
Epoch: [9][10020/14090]	Time 0.734 (0.768)	Data 0.001 (0.001)	Loss 2.6653 (2.7957)	Prec@1 40.625 (33.611)	Prec@5 67.969 (63.903)
Epoch: [9][10030/14090]	Time 0.748 (0.768)	Data 0.001 (0.001)	Loss 2.8600 (2.7958)	Prec@1 32.031 (33.609)	Prec@5 64.844 (63.900)
Epoch: [9][10040/14090]	Time 0.754 (0.768)	Data 0.001 (0.001)	Loss 2.6351 (2.7958)	Prec@1 34.375 (33.608)	Prec@5 68.750 (63.900)
Epoch: [9][10050/14090]	Time 0.737 (0.768)	Data 0.001 (0.001)	Loss 2.7893 (2.7958)	Prec@1 39.062 (33.609)	Prec@5 64.844 (63.900)
Epoch: [9][10060/14090]	Time 0.741 (0.768)	Data 0.001 (0.001)	Loss 2.5986 (2.7958)	Prec@1 33.594 (33.610)	Prec@5 70.312 (63.900)
Epoch: [9][10070/14090]	Time 0.891 (0.768)	Data 0.001 (0.001)	Loss 2.8642 (2.7958)	Prec@1 27.344 (33.609)	Prec@5 57.812 (63.899)
Epoch: [9][10080/14090]	Time 0.735 (0.768)	Data 0.001 (0.001)	Loss 3.0992 (2.7958)	Prec@1 30.469 (33.608)	Prec@5 59.375 (63.899)
Epoch: [9][10090/14090]	Time 0.741 (0.768)	Data 0.001 (0.001)	Loss 2.8927 (2.7958)	Prec@1 35.156 (33.608)	Prec@5 62.500 (63.900)
Epoch: [9][10100/14090]	Time 0.752 (0.768)	Data 0.001 (0.001)	Loss 2.9149 (2.7959)	Prec@1 35.938 (33.610)	Prec@5 54.688 (63.898)
Epoch: [9][10110/14090]	Time 0.744 (0.768)	Data 0.001 (0.001)	Loss 2.7415 (2.7959)	Prec@1 36.719 (33.610)	Prec@5 66.406 (63.899)
Epoch: [9][10120/14090]	Time 0.740 (0.768)	Data 0.001 (0.001)	Loss 2.8836 (2.7959)	Prec@1 37.500 (33.610)	Prec@5 62.500 (63.897)
Epoch: [9][10130/14090]	Time 0.742 (0.768)	Data 0.001 (0.001)	Loss 2.7027 (2.7959)	Prec@1 33.594 (33.609)	Prec@5 62.500 (63.895)
Epoch: [9][10140/14090]	Time 0.863 (0.768)	Data 0.001 (0.001)	Loss 2.8639 (2.7960)	Prec@1 32.812 (33.608)	Prec@5 59.375 (63.893)
Epoch: [9][10150/14090]	Time 0.735 (0.768)	Data 0.001 (0.001)	Loss 2.7510 (2.7960)	Prec@1 34.375 (33.608)	Prec@5 67.188 (63.892)
Epoch: [9][10160/14090]	Time 0.775 (0.768)	Data 0.001 (0.001)	Loss 2.8992 (2.7960)	Prec@1 28.906 (33.609)	Prec@5 57.812 (63.894)
Epoch: [9][10170/14090]	Time 0.756 (0.768)	Data 0.001 (0.001)	Loss 3.0518 (2.7961)	Prec@1 24.219 (33.608)	Prec@5 57.031 (63.891)
Epoch: [9][10180/14090]	Time 0.734 (0.768)	Data 0.001 (0.001)	Loss 2.5683 (2.7961)	Prec@1 35.938 (33.607)	Prec@5 71.875 (63.891)
Epoch: [9][10190/14090]	Time 0.769 (0.768)	Data 0.002 (0.001)	Loss 2.5280 (2.7961)	Prec@1 37.500 (33.607)	Prec@5 65.625 (63.890)
Epoch: [9][10200/14090]	Time 0.778 (0.768)	Data 0.001 (0.001)	Loss 2.6051 (2.7960)	Prec@1 39.062 (33.609)	Prec@5 71.875 (63.890)
Epoch: [9][10210/14090]	Time 0.841 (0.768)	Data 0.001 (0.001)	Loss 2.9694 (2.7961)	Prec@1 28.125 (33.609)	Prec@5 66.406 (63.889)
Epoch: [9][10220/14090]	Time 0.733 (0.768)	Data 0.001 (0.001)	Loss 2.5917 (2.7960)	Prec@1 38.281 (33.611)	Prec@5 65.625 (63.891)
Epoch: [9][10230/14090]	Time 0.755 (0.768)	Data 0.001 (0.001)	Loss 2.9614 (2.7959)	Prec@1 25.781 (33.610)	Prec@5 63.281 (63.892)
Epoch: [9][10240/14090]	Time 0.748 (0.768)	Data 0.001 (0.001)	Loss 2.6754 (2.7959)	Prec@1 32.031 (33.610)	Prec@5 67.188 (63.894)
Epoch: [9][10250/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 3.0068 (2.7959)	Prec@1 32.031 (33.611)	Prec@5 60.938 (63.893)
Epoch: [9][10260/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 2.8746 (2.7959)	Prec@1 33.594 (33.613)	Prec@5 64.062 (63.895)
Epoch: [9][10270/14090]	Time 0.755 (0.768)	Data 0.001 (0.001)	Loss 2.8320 (2.7959)	Prec@1 36.719 (33.613)	Prec@5 67.188 (63.896)
Epoch: [9][10280/14090]	Time 0.834 (0.768)	Data 0.001 (0.001)	Loss 2.5195 (2.7958)	Prec@1 35.156 (33.614)	Prec@5 70.312 (63.896)
Epoch: [9][10290/14090]	Time 0.756 (0.768)	Data 0.001 (0.001)	Loss 3.0183 (2.7958)	Prec@1 26.562 (33.612)	Prec@5 55.469 (63.897)
Epoch: [9][10300/14090]	Time 0.735 (0.768)	Data 0.001 (0.001)	Loss 2.7697 (2.7958)	Prec@1 37.500 (33.613)	Prec@5 67.188 (63.898)
Epoch: [9][10310/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 2.7196 (2.7957)	Prec@1 27.344 (33.613)	Prec@5 64.844 (63.898)
Epoch: [9][10320/14090]	Time 0.727 (0.768)	Data 0.001 (0.001)	Loss 2.9035 (2.7956)	Prec@1 28.125 (33.613)	Prec@5 62.500 (63.900)
Epoch: [9][10330/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 2.8699 (2.7957)	Prec@1 32.031 (33.611)	Prec@5 63.281 (63.898)
Epoch: [9][10340/14090]	Time 0.723 (0.768)	Data 0.001 (0.001)	Loss 2.9155 (2.7957)	Prec@1 30.469 (33.611)	Prec@5 60.156 (63.898)
Epoch: [9][10350/14090]	Time 0.862 (0.768)	Data 0.001 (0.001)	Loss 2.7772 (2.7957)	Prec@1 31.250 (33.608)	Prec@5 60.938 (63.897)
Epoch: [9][10360/14090]	Time 0.726 (0.768)	Data 0.001 (0.001)	Loss 2.8110 (2.7957)	Prec@1 32.031 (33.608)	Prec@5 58.594 (63.896)
Epoch: [9][10370/14090]	Time 0.769 (0.768)	Data 0.001 (0.001)	Loss 2.8355 (2.7957)	Prec@1 28.906 (33.607)	Prec@5 60.938 (63.896)
Epoch: [9][10380/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 2.8531 (2.7958)	Prec@1 31.250 (33.605)	Prec@5 60.938 (63.894)
Epoch: [9][10390/14090]	Time 0.746 (0.768)	Data 0.001 (0.001)	Loss 2.8022 (2.7958)	Prec@1 41.406 (33.605)	Prec@5 63.281 (63.893)
Epoch: [9][10400/14090]	Time 0.748 (0.768)	Data 0.001 (0.001)	Loss 2.6040 (2.7958)	Prec@1 37.500 (33.603)	Prec@5 67.969 (63.892)
Epoch: [9][10410/14090]	Time 0.740 (0.768)	Data 0.001 (0.001)	Loss 2.8457 (2.7958)	Prec@1 33.594 (33.604)	Prec@5 58.594 (63.892)
Epoch: [9][10420/14090]	Time 0.883 (0.768)	Data 0.001 (0.001)	Loss 2.4725 (2.7958)	Prec@1 42.188 (33.605)	Prec@5 71.875 (63.893)
Epoch: [9][10430/14090]	Time 0.747 (0.768)	Data 0.001 (0.001)	Loss 2.7523 (2.7958)	Prec@1 35.938 (33.604)	Prec@5 64.844 (63.893)
Epoch: [9][10440/14090]	Time 0.773 (0.768)	Data 0.001 (0.001)	Loss 3.0865 (2.7958)	Prec@1 27.344 (33.603)	Prec@5 58.594 (63.893)
Epoch: [9][10450/14090]	Time 0.742 (0.768)	Data 0.001 (0.001)	Loss 2.4787 (2.7957)	Prec@1 42.188 (33.606)	Prec@5 66.406 (63.895)
Epoch: [9][10460/14090]	Time 0.750 (0.768)	Data 0.001 (0.001)	Loss 2.6469 (2.7957)	Prec@1 34.375 (33.605)	Prec@5 71.094 (63.895)
Epoch: [9][10470/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 3.1885 (2.7958)	Prec@1 32.031 (33.602)	Prec@5 56.250 (63.891)
Epoch: [9][10480/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 2.7869 (2.7959)	Prec@1 31.250 (33.600)	Prec@5 60.938 (63.890)
Epoch: [9][10490/14090]	Time 0.891 (0.768)	Data 0.001 (0.001)	Loss 2.8937 (2.7959)	Prec@1 28.906 (33.600)	Prec@5 59.375 (63.891)
Epoch: [9][10500/14090]	Time 0.726 (0.768)	Data 0.001 (0.001)	Loss 2.7359 (2.7959)	Prec@1 33.594 (33.599)	Prec@5 62.500 (63.891)
Epoch: [9][10510/14090]	Time 0.775 (0.768)	Data 0.003 (0.001)	Loss 2.6052 (2.7958)	Prec@1 41.406 (33.599)	Prec@5 67.188 (63.891)
Epoch: [9][10520/14090]	Time 0.728 (0.768)	Data 0.001 (0.001)	Loss 2.5881 (2.7958)	Prec@1 39.062 (33.601)	Prec@5 67.969 (63.893)
Epoch: [9][10530/14090]	Time 0.761 (0.768)	Data 0.001 (0.001)	Loss 2.9442 (2.7958)	Prec@1 29.688 (33.597)	Prec@5 58.594 (63.892)
Epoch: [9][10540/14090]	Time 0.760 (0.768)	Data 0.001 (0.001)	Loss 2.8486 (2.7959)	Prec@1 37.500 (33.596)	Prec@5 62.500 (63.890)
Epoch: [9][10550/14090]	Time 0.772 (0.768)	Data 0.001 (0.001)	Loss 2.7904 (2.7959)	Prec@1 32.031 (33.594)	Prec@5 65.625 (63.890)
Epoch: [9][10560/14090]	Time 0.917 (0.768)	Data 0.001 (0.001)	Loss 2.7615 (2.7959)	Prec@1 32.031 (33.593)	Prec@5 59.375 (63.890)
Epoch: [9][10570/14090]	Time 0.729 (0.768)	Data 0.001 (0.001)	Loss 2.9725 (2.7960)	Prec@1 31.250 (33.590)	Prec@5 62.500 (63.887)
Epoch: [9][10580/14090]	Time 0.748 (0.768)	Data 0.001 (0.001)	Loss 2.7741 (2.7960)	Prec@1 32.812 (33.590)	Prec@5 57.812 (63.886)
Epoch: [9][10590/14090]	Time 0.750 (0.768)	Data 0.001 (0.001)	Loss 2.4338 (2.7959)	Prec@1 40.625 (33.592)	Prec@5 67.188 (63.885)
Epoch: [9][10600/14090]	Time 0.760 (0.768)	Data 0.001 (0.001)	Loss 2.9953 (2.7959)	Prec@1 31.250 (33.591)	Prec@5 59.375 (63.883)
Epoch: [9][10610/14090]	Time 0.770 (0.768)	Data 0.001 (0.001)	Loss 2.6142 (2.7959)	Prec@1 44.531 (33.593)	Prec@5 64.062 (63.884)
Epoch: [9][10620/14090]	Time 0.752 (0.768)	Data 0.001 (0.001)	Loss 3.1492 (2.7960)	Prec@1 23.438 (33.593)	Prec@5 63.281 (63.883)
Epoch: [9][10630/14090]	Time 0.859 (0.768)	Data 0.001 (0.001)	Loss 2.9703 (2.7961)	Prec@1 32.812 (33.589)	Prec@5 57.031 (63.880)
Epoch: [9][10640/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 2.7571 (2.7961)	Prec@1 37.500 (33.588)	Prec@5 64.062 (63.878)
Epoch: [9][10650/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 2.5701 (2.7962)	Prec@1 34.375 (33.588)	Prec@5 69.531 (63.876)
Epoch: [9][10660/14090]	Time 0.750 (0.768)	Data 0.001 (0.001)	Loss 2.8993 (2.7963)	Prec@1 39.844 (33.588)	Prec@5 63.281 (63.875)
Epoch: [9][10670/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 2.7987 (2.7962)	Prec@1 32.812 (33.590)	Prec@5 60.156 (63.876)
Epoch: [9][10680/14090]	Time 0.744 (0.768)	Data 0.001 (0.001)	Loss 2.7231 (2.7962)	Prec@1 31.250 (33.589)	Prec@5 69.531 (63.877)
Epoch: [9][10690/14090]	Time 0.751 (0.768)	Data 0.001 (0.001)	Loss 2.7813 (2.7963)	Prec@1 31.250 (33.588)	Prec@5 62.500 (63.876)
Epoch: [9][10700/14090]	Time 0.855 (0.768)	Data 0.001 (0.001)	Loss 2.6840 (2.7962)	Prec@1 34.375 (33.589)	Prec@5 66.406 (63.875)
Epoch: [9][10710/14090]	Time 0.750 (0.768)	Data 0.001 (0.001)	Loss 2.7379 (2.7961)	Prec@1 41.406 (33.592)	Prec@5 65.625 (63.876)
Epoch: [9][10720/14090]	Time 0.765 (0.768)	Data 0.001 (0.001)	Loss 2.7335 (2.7961)	Prec@1 38.281 (33.592)	Prec@5 64.062 (63.878)
Epoch: [9][10730/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 2.9051 (2.7961)	Prec@1 29.688 (33.592)	Prec@5 64.062 (63.878)
Epoch: [9][10740/14090]	Time 0.750 (0.768)	Data 0.001 (0.001)	Loss 2.5584 (2.7961)	Prec@1 39.844 (33.591)	Prec@5 70.312 (63.879)
Epoch: [9][10750/14090]	Time 0.761 (0.768)	Data 0.001 (0.001)	Loss 3.3816 (2.7961)	Prec@1 23.438 (33.591)	Prec@5 50.000 (63.878)
Epoch: [9][10760/14090]	Time 0.756 (0.768)	Data 0.001 (0.001)	Loss 2.7842 (2.7961)	Prec@1 28.906 (33.591)	Prec@5 66.406 (63.878)
Epoch: [9][10770/14090]	Time 0.898 (0.768)	Data 0.001 (0.001)	Loss 2.8659 (2.7962)	Prec@1 41.406 (33.592)	Prec@5 60.156 (63.876)
Epoch: [9][10780/14090]	Time 0.743 (0.768)	Data 0.001 (0.001)	Loss 3.2119 (2.7962)	Prec@1 32.031 (33.591)	Prec@5 58.594 (63.877)
Epoch: [9][10790/14090]	Time 0.746 (0.768)	Data 0.001 (0.001)	Loss 2.7796 (2.7962)	Prec@1 34.375 (33.591)	Prec@5 64.844 (63.878)
Epoch: [9][10800/14090]	Time 0.755 (0.768)	Data 0.001 (0.001)	Loss 2.7410 (2.7961)	Prec@1 33.594 (33.591)	Prec@5 61.719 (63.878)
Epoch: [9][10810/14090]	Time 0.784 (0.768)	Data 0.001 (0.001)	Loss 2.6984 (2.7961)	Prec@1 40.625 (33.592)	Prec@5 69.531 (63.878)
Epoch: [9][10820/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 2.8706 (2.7962)	Prec@1 32.812 (33.591)	Prec@5 60.938 (63.878)
Epoch: [9][10830/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 2.8637 (2.7961)	Prec@1 32.812 (33.590)	Prec@5 61.719 (63.878)
Epoch: [9][10840/14090]	Time 0.885 (0.768)	Data 0.002 (0.001)	Loss 2.6363 (2.7961)	Prec@1 39.844 (33.591)	Prec@5 70.312 (63.879)
Epoch: [9][10850/14090]	Time 0.760 (0.768)	Data 0.001 (0.001)	Loss 2.5096 (2.7961)	Prec@1 45.312 (33.590)	Prec@5 63.281 (63.879)
Epoch: [9][10860/14090]	Time 0.752 (0.768)	Data 0.001 (0.001)	Loss 2.9367 (2.7961)	Prec@1 29.688 (33.590)	Prec@5 60.156 (63.878)
Epoch: [9][10870/14090]	Time 0.748 (0.768)	Data 0.001 (0.001)	Loss 3.0242 (2.7961)	Prec@1 26.562 (33.590)	Prec@5 63.281 (63.878)
Epoch: [9][10880/14090]	Time 0.762 (0.768)	Data 0.001 (0.001)	Loss 2.5775 (2.7961)	Prec@1 42.188 (33.591)	Prec@5 68.750 (63.878)
Epoch: [9][10890/14090]	Time 0.749 (0.768)	Data 0.001 (0.001)	Loss 2.6308 (2.7961)	Prec@1 31.250 (33.591)	Prec@5 63.281 (63.877)
Epoch: [9][10900/14090]	Time 0.737 (0.768)	Data 0.001 (0.001)	Loss 2.8042 (2.7961)	Prec@1 33.594 (33.591)	Prec@5 62.500 (63.878)
Epoch: [9][10910/14090]	Time 0.888 (0.768)	Data 0.001 (0.001)	Loss 2.6125 (2.7960)	Prec@1 33.594 (33.590)	Prec@5 66.406 (63.878)
Epoch: [9][10920/14090]	Time 0.757 (0.768)	Data 0.001 (0.001)	Loss 2.8734 (2.7961)	Prec@1 28.906 (33.591)	Prec@5 63.281 (63.879)
Epoch: [9][10930/14090]	Time 0.732 (0.768)	Data 0.001 (0.001)	Loss 2.5401 (2.7960)	Prec@1 39.844 (33.592)	Prec@5 68.750 (63.879)
Epoch: [9][10940/14090]	Time 0.786 (0.768)	Data 0.001 (0.001)	Loss 3.0508 (2.7961)	Prec@1 26.562 (33.589)	Prec@5 57.812 (63.878)
Epoch: [9][10950/14090]	Time 0.766 (0.768)	Data 0.001 (0.001)	Loss 3.2411 (2.7962)	Prec@1 26.562 (33.589)	Prec@5 57.812 (63.876)
Epoch: [9][10960/14090]	Time 0.759 (0.768)	Data 0.001 (0.001)	Loss 2.7036 (2.7961)	Prec@1 32.031 (33.592)	Prec@5 71.875 (63.878)
Epoch: [9][10970/14090]	Time 0.744 (0.768)	Data 0.001 (0.001)	Loss 2.7981 (2.7962)	Prec@1 36.719 (33.590)	Prec@5 66.406 (63.877)
Epoch: [9][10980/14090]	Time 0.907 (0.768)	Data 0.001 (0.001)	Loss 2.5912 (2.7961)	Prec@1 31.250 (33.592)	Prec@5 64.844 (63.879)
Epoch: [9][10990/14090]	Time 0.741 (0.768)	Data 0.001 (0.001)	Loss 2.5581 (2.7961)	Prec@1 38.281 (33.593)	Prec@5 62.500 (63.878)
Epoch: [9][11000/14090]	Time 0.734 (0.768)	Data 0.001 (0.001)	Loss 2.7431 (2.7961)	Prec@1 31.250 (33.591)	Prec@5 64.062 (63.878)
Epoch: [9][11010/14090]	Time 0.742 (0.768)	Data 0.001 (0.001)	Loss 2.8216 (2.7961)	Prec@1 31.250 (33.592)	Prec@5 60.156 (63.880)
Epoch: [9][11020/14090]	Time 0.785 (0.768)	Data 0.001 (0.001)	Loss 2.8915 (2.7961)	Prec@1 32.031 (33.591)	Prec@5 64.844 (63.880)
Epoch: [9][11030/14090]	Time 0.761 (0.768)	Data 0.001 (0.001)	Loss 2.8193 (2.7961)	Prec@1 33.594 (33.593)	Prec@5 60.938 (63.879)
Epoch: [9][11040/14090]	Time 0.743 (0.768)	Data 0.001 (0.001)	Loss 2.5760 (2.7961)	Prec@1 37.500 (33.595)	Prec@5 65.625 (63.880)
Epoch: [9][11050/14090]	Time 0.904 (0.768)	Data 0.001 (0.001)	Loss 2.8191 (2.7961)	Prec@1 36.719 (33.595)	Prec@5 60.938 (63.879)
Epoch: [9][11060/14090]	Time 0.726 (0.768)	Data 0.001 (0.001)	Loss 2.6907 (2.7961)	Prec@1 41.406 (33.595)	Prec@5 63.281 (63.878)
Epoch: [9][11070/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 2.7013 (2.7961)	Prec@1 33.594 (33.594)	Prec@5 66.406 (63.879)
Epoch: [9][11080/14090]	Time 0.750 (0.768)	Data 0.001 (0.001)	Loss 2.9281 (2.7961)	Prec@1 32.031 (33.592)	Prec@5 57.812 (63.877)
Epoch: [9][11090/14090]	Time 0.757 (0.768)	Data 0.001 (0.001)	Loss 2.7500 (2.7962)	Prec@1 35.156 (33.593)	Prec@5 64.844 (63.876)
Epoch: [9][11100/14090]	Time 0.726 (0.768)	Data 0.001 (0.001)	Loss 2.5839 (2.7962)	Prec@1 36.719 (33.592)	Prec@5 70.312 (63.876)
Epoch: [9][11110/14090]	Time 0.767 (0.768)	Data 0.001 (0.001)	Loss 3.0351 (2.7961)	Prec@1 27.344 (33.593)	Prec@5 57.031 (63.880)
Epoch: [9][11120/14090]	Time 0.886 (0.768)	Data 0.001 (0.001)	Loss 2.7269 (2.7961)	Prec@1 38.281 (33.596)	Prec@5 64.062 (63.880)
Epoch: [9][11130/14090]	Time 0.740 (0.768)	Data 0.001 (0.001)	Loss 2.5807 (2.7960)	Prec@1 37.500 (33.595)	Prec@5 67.969 (63.883)
Epoch: [9][11140/14090]	Time 0.750 (0.768)	Data 0.001 (0.001)	Loss 2.8694 (2.7960)	Prec@1 38.281 (33.594)	Prec@5 64.062 (63.883)
Epoch: [9][11150/14090]	Time 0.750 (0.768)	Data 0.001 (0.001)	Loss 3.0217 (2.7960)	Prec@1 33.594 (33.594)	Prec@5 54.688 (63.882)
Epoch: [9][11160/14090]	Time 0.745 (0.768)	Data 0.001 (0.001)	Loss 2.7289 (2.7961)	Prec@1 39.062 (33.593)	Prec@5 64.062 (63.881)
Epoch: [9][11170/14090]	Time 0.730 (0.768)	Data 0.001 (0.001)	Loss 3.1008 (2.7961)	Prec@1 36.719 (33.593)	Prec@5 64.844 (63.882)
Epoch: [9][11180/14090]	Time 0.755 (0.768)	Data 0.001 (0.001)	Loss 2.7818 (2.7962)	Prec@1 33.594 (33.593)	Prec@5 63.281 (63.881)
Epoch: [9][11190/14090]	Time 0.927 (0.768)	Data 0.001 (0.001)	Loss 2.7304 (2.7961)	Prec@1 35.938 (33.594)	Prec@5 67.969 (63.882)
Epoch: [9][11200/14090]	Time 0.747 (0.768)	Data 0.001 (0.001)	Loss 3.1425 (2.7962)	Prec@1 30.469 (33.592)	Prec@5 56.250 (63.881)
Epoch: [9][11210/14090]	Time 0.756 (0.768)	Data 0.001 (0.001)	Loss 2.5379 (2.7962)	Prec@1 31.250 (33.594)	Prec@5 70.312 (63.882)
Epoch: [9][11220/14090]	Time 0.778 (0.768)	Data 0.001 (0.001)	Loss 2.7566 (2.7962)	Prec@1 34.375 (33.594)	Prec@5 60.938 (63.881)
Epoch: [9][11230/14090]	Time 0.735 (0.768)	Data 0.001 (0.001)	Loss 2.7997 (2.7961)	Prec@1 32.812 (33.595)	Prec@5 62.500 (63.882)
Epoch: [9][11240/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 2.6772 (2.7961)	Prec@1 31.250 (33.594)	Prec@5 65.625 (63.882)
Epoch: [9][11250/14090]	Time 0.742 (0.768)	Data 0.001 (0.001)	Loss 2.8634 (2.7961)	Prec@1 32.031 (33.593)	Prec@5 60.938 (63.882)
Epoch: [9][11260/14090]	Time 0.906 (0.768)	Data 0.001 (0.001)	Loss 2.9001 (2.7961)	Prec@1 32.031 (33.593)	Prec@5 64.844 (63.883)
Epoch: [9][11270/14090]	Time 0.754 (0.768)	Data 0.001 (0.001)	Loss 2.6043 (2.7960)	Prec@1 35.938 (33.592)	Prec@5 67.188 (63.883)
Epoch: [9][11280/14090]	Time 0.746 (0.768)	Data 0.001 (0.001)	Loss 2.7798 (2.7960)	Prec@1 35.938 (33.594)	Prec@5 64.062 (63.886)
Epoch: [9][11290/14090]	Time 0.727 (0.768)	Data 0.001 (0.001)	Loss 2.7234 (2.7959)	Prec@1 34.375 (33.595)	Prec@5 64.062 (63.888)
Epoch: [9][11300/14090]	Time 0.749 (0.768)	Data 0.001 (0.001)	Loss 3.0014 (2.7960)	Prec@1 28.125 (33.592)	Prec@5 60.938 (63.885)
Epoch: [9][11310/14090]	Time 0.746 (0.768)	Data 0.001 (0.001)	Loss 3.1010 (2.7961)	Prec@1 30.469 (33.593)	Prec@5 60.938 (63.884)
Epoch: [9][11320/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 2.8325 (2.7960)	Prec@1 31.250 (33.593)	Prec@5 60.156 (63.884)
Epoch: [9][11330/14090]	Time 0.897 (0.768)	Data 0.001 (0.001)	Loss 2.8529 (2.7960)	Prec@1 32.812 (33.593)	Prec@5 64.844 (63.883)
Epoch: [9][11340/14090]	Time 0.737 (0.768)	Data 0.001 (0.001)	Loss 2.8939 (2.7961)	Prec@1 33.594 (33.593)	Prec@5 65.625 (63.883)
Epoch: [9][11350/14090]	Time 0.743 (0.768)	Data 0.001 (0.001)	Loss 3.0526 (2.7960)	Prec@1 28.906 (33.594)	Prec@5 60.938 (63.884)
Epoch: [9][11360/14090]	Time 0.740 (0.768)	Data 0.001 (0.001)	Loss 2.8146 (2.7960)	Prec@1 39.062 (33.596)	Prec@5 60.938 (63.885)
Epoch: [9][11370/14090]	Time 0.745 (0.768)	Data 0.001 (0.001)	Loss 2.6896 (2.7959)	Prec@1 33.594 (33.599)	Prec@5 61.719 (63.885)
Epoch: [9][11380/14090]	Time 0.729 (0.768)	Data 0.001 (0.001)	Loss 3.0158 (2.7960)	Prec@1 26.562 (33.598)	Prec@5 64.062 (63.885)
Epoch: [9][11390/14090]	Time 0.751 (0.768)	Data 0.001 (0.001)	Loss 2.6690 (2.7959)	Prec@1 40.625 (33.598)	Prec@5 67.188 (63.885)
Epoch: [9][11400/14090]	Time 0.896 (0.768)	Data 0.001 (0.001)	Loss 2.8530 (2.7960)	Prec@1 29.688 (33.596)	Prec@5 60.938 (63.884)
Epoch: [9][11410/14090]	Time 0.744 (0.768)	Data 0.001 (0.001)	Loss 2.7342 (2.7960)	Prec@1 35.156 (33.597)	Prec@5 66.406 (63.884)
Epoch: [9][11420/14090]	Time 0.757 (0.768)	Data 0.001 (0.001)	Loss 2.8766 (2.7960)	Prec@1 25.781 (33.597)	Prec@5 58.594 (63.884)
Epoch: [9][11430/14090]	Time 0.734 (0.768)	Data 0.001 (0.001)	Loss 2.9300 (2.7960)	Prec@1 27.344 (33.597)	Prec@5 64.062 (63.883)
Epoch: [9][11440/14090]	Time 0.768 (0.768)	Data 0.001 (0.001)	Loss 3.0163 (2.7960)	Prec@1 32.812 (33.596)	Prec@5 59.375 (63.883)
Epoch: [9][11450/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 2.7042 (2.7961)	Prec@1 39.062 (33.595)	Prec@5 61.719 (63.882)
Epoch: [9][11460/14090]	Time 0.755 (0.768)	Data 0.001 (0.001)	Loss 2.5870 (2.7961)	Prec@1 36.719 (33.594)	Prec@5 67.188 (63.882)
Epoch: [9][11470/14090]	Time 0.864 (0.768)	Data 0.001 (0.001)	Loss 2.9069 (2.7961)	Prec@1 31.250 (33.595)	Prec@5 61.719 (63.883)
Epoch: [9][11480/14090]	Time 0.762 (0.768)	Data 0.001 (0.001)	Loss 3.0051 (2.7962)	Prec@1 26.562 (33.595)	Prec@5 60.156 (63.881)
Epoch: [9][11490/14090]	Time 0.760 (0.768)	Data 0.001 (0.001)	Loss 2.5824 (2.7961)	Prec@1 30.469 (33.595)	Prec@5 71.094 (63.883)
Epoch: [9][11500/14090]	Time 0.747 (0.768)	Data 0.001 (0.001)	Loss 2.9590 (2.7962)	Prec@1 26.562 (33.594)	Prec@5 61.719 (63.883)
Epoch: [9][11510/14090]	Time 0.741 (0.768)	Data 0.001 (0.001)	Loss 2.7983 (2.7962)	Prec@1 34.375 (33.595)	Prec@5 65.625 (63.883)
Epoch: [9][11520/14090]	Time 0.758 (0.768)	Data 0.001 (0.001)	Loss 2.6344 (2.7962)	Prec@1 33.594 (33.593)	Prec@5 65.625 (63.882)
Epoch: [9][11530/14090]	Time 0.751 (0.768)	Data 0.001 (0.001)	Loss 2.9120 (2.7963)	Prec@1 28.906 (33.592)	Prec@5 58.594 (63.883)
Epoch: [9][11540/14090]	Time 0.863 (0.768)	Data 0.001 (0.001)	Loss 2.4768 (2.7962)	Prec@1 39.844 (33.595)	Prec@5 70.312 (63.883)
Epoch: [9][11550/14090]	Time 0.722 (0.768)	Data 0.001 (0.001)	Loss 2.8632 (2.7962)	Prec@1 33.594 (33.596)	Prec@5 64.844 (63.885)
Epoch: [9][11560/14090]	Time 0.733 (0.768)	Data 0.001 (0.001)	Loss 2.8597 (2.7962)	Prec@1 31.250 (33.596)	Prec@5 60.156 (63.883)
Epoch: [9][11570/14090]	Time 0.744 (0.768)	Data 0.001 (0.001)	Loss 2.8376 (2.7962)	Prec@1 34.375 (33.596)	Prec@5 60.938 (63.884)
Epoch: [9][11580/14090]	Time 0.758 (0.768)	Data 0.001 (0.001)	Loss 3.1318 (2.7962)	Prec@1 28.125 (33.595)	Prec@5 63.281 (63.883)
Epoch: [9][11590/14090]	Time 0.763 (0.768)	Data 0.001 (0.001)	Loss 2.6563 (2.7964)	Prec@1 37.500 (33.594)	Prec@5 64.844 (63.881)
Epoch: [9][11600/14090]	Time 0.755 (0.768)	Data 0.001 (0.001)	Loss 2.6586 (2.7963)	Prec@1 35.938 (33.596)	Prec@5 68.750 (63.883)
Epoch: [9][11610/14090]	Time 0.877 (0.768)	Data 0.001 (0.001)	Loss 2.4976 (2.7963)	Prec@1 41.406 (33.597)	Prec@5 70.312 (63.884)
Epoch: [9][11620/14090]	Time 0.755 (0.768)	Data 0.001 (0.001)	Loss 2.5413 (2.7963)	Prec@1 38.281 (33.596)	Prec@5 69.531 (63.884)
Epoch: [9][11630/14090]	Time 0.752 (0.768)	Data 0.001 (0.001)	Loss 2.5859 (2.7962)	Prec@1 38.281 (33.597)	Prec@5 71.094 (63.886)
Epoch: [9][11640/14090]	Time 0.780 (0.768)	Data 0.001 (0.001)	Loss 2.6265 (2.7962)	Prec@1 33.594 (33.597)	Prec@5 63.281 (63.886)
Epoch: [9][11650/14090]	Time 0.761 (0.768)	Data 0.001 (0.001)	Loss 2.9485 (2.7962)	Prec@1 30.469 (33.596)	Prec@5 60.938 (63.886)
Epoch: [9][11660/14090]	Time 0.768 (0.768)	Data 0.001 (0.001)	Loss 3.2235 (2.7963)	Prec@1 22.656 (33.595)	Prec@5 54.688 (63.886)
Epoch: [9][11670/14090]	Time 0.752 (0.768)	Data 0.001 (0.001)	Loss 2.5392 (2.7962)	Prec@1 32.031 (33.596)	Prec@5 68.750 (63.888)
Epoch: [9][11680/14090]	Time 0.901 (0.768)	Data 0.001 (0.001)	Loss 2.9366 (2.7961)	Prec@1 33.594 (33.597)	Prec@5 59.375 (63.889)
Epoch: [9][11690/14090]	Time 0.737 (0.768)	Data 0.001 (0.001)	Loss 2.8315 (2.7962)	Prec@1 32.031 (33.596)	Prec@5 60.938 (63.888)
Epoch: [9][11700/14090]	Time 0.758 (0.768)	Data 0.001 (0.001)	Loss 2.9323 (2.7962)	Prec@1 35.938 (33.597)	Prec@5 64.844 (63.887)
Epoch: [9][11710/14090]	Time 0.748 (0.768)	Data 0.001 (0.001)	Loss 2.8743 (2.7962)	Prec@1 33.594 (33.597)	Prec@5 66.406 (63.888)
Epoch: [9][11720/14090]	Time 0.751 (0.768)	Data 0.001 (0.001)	Loss 2.7118 (2.7962)	Prec@1 29.688 (33.596)	Prec@5 67.188 (63.888)
Epoch: [9][11730/14090]	Time 0.749 (0.768)	Data 0.001 (0.001)	Loss 2.8684 (2.7962)	Prec@1 33.594 (33.596)	Prec@5 62.500 (63.888)
Epoch: [9][11740/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 2.5809 (2.7961)	Prec@1 39.062 (33.598)	Prec@5 64.062 (63.890)
Epoch: [9][11750/14090]	Time 0.843 (0.768)	Data 0.001 (0.001)	Loss 2.5792 (2.7961)	Prec@1 37.500 (33.599)	Prec@5 71.094 (63.891)
Epoch: [9][11760/14090]	Time 0.762 (0.768)	Data 0.001 (0.001)	Loss 2.8637 (2.7961)	Prec@1 25.000 (33.597)	Prec@5 56.250 (63.888)
Epoch: [9][11770/14090]	Time 0.756 (0.768)	Data 0.002 (0.001)	Loss 2.7731 (2.7960)	Prec@1 35.156 (33.598)	Prec@5 62.500 (63.890)
Epoch: [9][11780/14090]	Time 0.759 (0.768)	Data 0.001 (0.001)	Loss 2.5103 (2.7961)	Prec@1 36.719 (33.598)	Prec@5 68.750 (63.889)
Epoch: [9][11790/14090]	Time 0.760 (0.768)	Data 0.001 (0.001)	Loss 2.6844 (2.7960)	Prec@1 37.500 (33.599)	Prec@5 65.625 (63.889)
Epoch: [9][11800/14090]	Time 0.730 (0.768)	Data 0.001 (0.001)	Loss 2.9266 (2.7960)	Prec@1 28.125 (33.599)	Prec@5 60.156 (63.889)
Epoch: [9][11810/14090]	Time 0.759 (0.768)	Data 0.001 (0.001)	Loss 3.0306 (2.7960)	Prec@1 27.344 (33.598)	Prec@5 57.812 (63.889)
Epoch: [9][11820/14090]	Time 1.009 (0.769)	Data 0.001 (0.001)	Loss 2.8436 (2.7960)	Prec@1 32.031 (33.599)	Prec@5 64.062 (63.888)
Epoch: [9][11830/14090]	Time 0.739 (0.769)	Data 0.001 (0.001)	Loss 2.7614 (2.7960)	Prec@1 31.250 (33.598)	Prec@5 67.969 (63.888)
Epoch: [9][11840/14090]	Time 0.742 (0.768)	Data 0.001 (0.001)	Loss 2.6595 (2.7960)	Prec@1 34.375 (33.598)	Prec@5 64.844 (63.888)
Epoch: [9][11850/14090]	Time 0.743 (0.769)	Data 0.001 (0.001)	Loss 2.8165 (2.7960)	Prec@1 35.938 (33.599)	Prec@5 59.375 (63.889)
Epoch: [9][11860/14090]	Time 0.735 (0.769)	Data 0.001 (0.001)	Loss 2.8830 (2.7960)	Prec@1 36.719 (33.599)	Prec@5 66.406 (63.888)
Epoch: [9][11870/14090]	Time 0.754 (0.769)	Data 0.001 (0.001)	Loss 2.9928 (2.7960)	Prec@1 28.906 (33.599)	Prec@5 66.406 (63.888)
Epoch: [9][11880/14090]	Time 0.753 (0.769)	Data 0.001 (0.001)	Loss 2.7711 (2.7961)	Prec@1 32.031 (33.598)	Prec@5 65.625 (63.889)
Epoch: [9][11890/14090]	Time 0.894 (0.769)	Data 0.001 (0.001)	Loss 2.5935 (2.7960)	Prec@1 32.812 (33.599)	Prec@5 68.750 (63.889)
Epoch: [9][11900/14090]	Time 0.770 (0.769)	Data 0.001 (0.001)	Loss 2.9834 (2.7960)	Prec@1 29.688 (33.599)	Prec@5 63.281 (63.890)
Epoch: [9][11910/14090]	Time 0.735 (0.769)	Data 0.001 (0.001)	Loss 2.6787 (2.7960)	Prec@1 38.281 (33.600)	Prec@5 67.969 (63.891)
Epoch: [9][11920/14090]	Time 0.748 (0.769)	Data 0.003 (0.001)	Loss 2.3940 (2.7960)	Prec@1 40.625 (33.601)	Prec@5 68.750 (63.891)
Epoch: [9][11930/14090]	Time 0.737 (0.769)	Data 0.001 (0.001)	Loss 2.5689 (2.7959)	Prec@1 35.156 (33.604)	Prec@5 71.094 (63.893)
Epoch: [9][11940/14090]	Time 0.752 (0.769)	Data 0.001 (0.001)	Loss 2.7144 (2.7959)	Prec@1 29.688 (33.604)	Prec@5 66.406 (63.893)
Epoch: [9][11950/14090]	Time 0.761 (0.769)	Data 0.001 (0.001)	Loss 3.0674 (2.7959)	Prec@1 32.812 (33.606)	Prec@5 60.156 (63.891)
Epoch: [9][11960/14090]	Time 0.887 (0.769)	Data 0.001 (0.001)	Loss 2.6892 (2.7959)	Prec@1 32.812 (33.605)	Prec@5 70.312 (63.892)
Epoch: [9][11970/14090]	Time 0.747 (0.769)	Data 0.001 (0.001)	Loss 2.8567 (2.7959)	Prec@1 28.906 (33.605)	Prec@5 64.062 (63.894)
Epoch: [9][11980/14090]	Time 0.758 (0.769)	Data 0.001 (0.001)	Loss 2.8644 (2.7958)	Prec@1 33.594 (33.606)	Prec@5 59.375 (63.893)
Epoch: [9][11990/14090]	Time 0.766 (0.769)	Data 0.001 (0.001)	Loss 2.7495 (2.7959)	Prec@1 35.156 (33.605)	Prec@5 67.188 (63.893)
Epoch: [9][12000/14090]	Time 0.759 (0.769)	Data 0.001 (0.001)	Loss 2.8824 (2.7959)	Prec@1 31.250 (33.605)	Prec@5 56.250 (63.893)
Epoch: [9][12010/14090]	Time 0.756 (0.769)	Data 0.001 (0.001)	Loss 2.6067 (2.7959)	Prec@1 37.500 (33.607)	Prec@5 70.312 (63.893)
Epoch: [9][12020/14090]	Time 0.750 (0.769)	Data 0.001 (0.001)	Loss 3.1700 (2.7959)	Prec@1 25.000 (33.607)	Prec@5 53.906 (63.893)
Epoch: [9][12030/14090]	Time 0.903 (0.769)	Data 0.001 (0.001)	Loss 2.7888 (2.7959)	Prec@1 31.250 (33.607)	Prec@5 61.719 (63.893)
Epoch: [9][12040/14090]	Time 0.744 (0.769)	Data 0.001 (0.001)	Loss 2.8360 (2.7959)	Prec@1 35.156 (33.607)	Prec@5 57.812 (63.893)
Epoch: [9][12050/14090]	Time 0.753 (0.769)	Data 0.001 (0.001)	Loss 2.5799 (2.7958)	Prec@1 38.281 (33.608)	Prec@5 67.969 (63.894)
Epoch: [9][12060/14090]	Time 0.753 (0.769)	Data 0.001 (0.001)	Loss 2.7257 (2.7958)	Prec@1 32.031 (33.607)	Prec@5 69.531 (63.893)
Epoch: [9][12070/14090]	Time 0.757 (0.769)	Data 0.001 (0.001)	Loss 2.8799 (2.7958)	Prec@1 28.125 (33.609)	Prec@5 62.500 (63.894)
Epoch: [9][12080/14090]	Time 0.751 (0.769)	Data 0.001 (0.001)	Loss 2.9029 (2.7958)	Prec@1 33.594 (33.611)	Prec@5 61.719 (63.894)
Epoch: [9][12090/14090]	Time 0.747 (0.769)	Data 0.001 (0.001)	Loss 2.9027 (2.7958)	Prec@1 35.938 (33.611)	Prec@5 60.938 (63.895)
Epoch: [9][12100/14090]	Time 0.877 (0.769)	Data 0.001 (0.001)	Loss 2.6498 (2.7958)	Prec@1 38.281 (33.611)	Prec@5 66.406 (63.895)
Epoch: [9][12110/14090]	Time 0.736 (0.769)	Data 0.001 (0.001)	Loss 3.1803 (2.7958)	Prec@1 29.688 (33.613)	Prec@5 56.250 (63.894)
Epoch: [9][12120/14090]	Time 0.755 (0.769)	Data 0.001 (0.001)	Loss 3.0464 (2.7959)	Prec@1 32.031 (33.611)	Prec@5 59.375 (63.894)
Epoch: [9][12130/14090]	Time 0.731 (0.769)	Data 0.001 (0.001)	Loss 2.5573 (2.7958)	Prec@1 33.594 (33.610)	Prec@5 69.531 (63.896)
Epoch: [9][12140/14090]	Time 0.742 (0.769)	Data 0.001 (0.001)	Loss 2.9270 (2.7958)	Prec@1 28.125 (33.609)	Prec@5 60.156 (63.897)
Epoch: [9][12150/14090]	Time 0.731 (0.769)	Data 0.001 (0.001)	Loss 2.5783 (2.7958)	Prec@1 33.594 (33.608)	Prec@5 66.406 (63.896)
Epoch: [9][12160/14090]	Time 0.757 (0.769)	Data 0.001 (0.001)	Loss 2.9775 (2.7958)	Prec@1 30.469 (33.608)	Prec@5 61.719 (63.895)
Epoch: [9][12170/14090]	Time 0.892 (0.769)	Data 0.001 (0.001)	Loss 2.9967 (2.7958)	Prec@1 28.125 (33.608)	Prec@5 64.062 (63.896)
Epoch: [9][12180/14090]	Time 0.768 (0.769)	Data 0.001 (0.001)	Loss 2.9092 (2.7958)	Prec@1 35.938 (33.608)	Prec@5 60.938 (63.895)
Epoch: [9][12190/14090]	Time 0.755 (0.769)	Data 0.001 (0.001)	Loss 3.0712 (2.7959)	Prec@1 28.125 (33.608)	Prec@5 59.375 (63.894)
Epoch: [9][12200/14090]	Time 0.753 (0.769)	Data 0.001 (0.001)	Loss 2.6593 (2.7959)	Prec@1 37.500 (33.608)	Prec@5 68.750 (63.895)
Epoch: [9][12210/14090]	Time 0.742 (0.769)	Data 0.001 (0.001)	Loss 2.7041 (2.7959)	Prec@1 35.938 (33.608)	Prec@5 66.406 (63.897)
Epoch: [9][12220/14090]	Time 0.740 (0.769)	Data 0.001 (0.001)	Loss 2.7537 (2.7959)	Prec@1 34.375 (33.608)	Prec@5 64.844 (63.898)
Epoch: [9][12230/14090]	Time 0.773 (0.769)	Data 0.001 (0.001)	Loss 2.7490 (2.7959)	Prec@1 32.031 (33.606)	Prec@5 67.188 (63.897)
Epoch: [9][12240/14090]	Time 0.874 (0.769)	Data 0.001 (0.001)	Loss 3.1773 (2.7960)	Prec@1 30.469 (33.604)	Prec@5 55.469 (63.896)
Epoch: [9][12250/14090]	Time 0.739 (0.769)	Data 0.001 (0.001)	Loss 3.0495 (2.7960)	Prec@1 28.906 (33.603)	Prec@5 59.375 (63.896)
Epoch: [9][12260/14090]	Time 0.756 (0.769)	Data 0.001 (0.001)	Loss 2.7679 (2.7960)	Prec@1 32.812 (33.603)	Prec@5 64.844 (63.895)
Epoch: [9][12270/14090]	Time 0.755 (0.769)	Data 0.001 (0.001)	Loss 2.6903 (2.7961)	Prec@1 35.156 (33.602)	Prec@5 61.719 (63.894)
Epoch: [9][12280/14090]	Time 0.757 (0.769)	Data 0.001 (0.001)	Loss 3.1106 (2.7961)	Prec@1 28.125 (33.601)	Prec@5 57.031 (63.894)
Epoch: [9][12290/14090]	Time 0.729 (0.769)	Data 0.001 (0.001)	Loss 2.9119 (2.7961)	Prec@1 34.375 (33.600)	Prec@5 65.625 (63.894)
Epoch: [9][12300/14090]	Time 0.734 (0.769)	Data 0.001 (0.001)	Loss 2.6421 (2.7962)	Prec@1 32.812 (33.600)	Prec@5 68.750 (63.894)
Epoch: [9][12310/14090]	Time 0.894 (0.769)	Data 0.001 (0.001)	Loss 2.7565 (2.7961)	Prec@1 33.594 (33.602)	Prec@5 66.406 (63.895)
Epoch: [9][12320/14090]	Time 0.726 (0.769)	Data 0.001 (0.001)	Loss 2.6579 (2.7961)	Prec@1 28.906 (33.601)	Prec@5 68.750 (63.896)
Epoch: [9][12330/14090]	Time 0.732 (0.769)	Data 0.001 (0.001)	Loss 2.8244 (2.7961)	Prec@1 35.938 (33.602)	Prec@5 60.938 (63.895)
Epoch: [9][12340/14090]	Time 0.751 (0.769)	Data 0.001 (0.001)	Loss 2.5038 (2.7961)	Prec@1 44.531 (33.604)	Prec@5 72.656 (63.895)
Epoch: [9][12350/14090]	Time 0.785 (0.769)	Data 0.001 (0.001)	Loss 2.7791 (2.7961)	Prec@1 32.812 (33.604)	Prec@5 63.281 (63.894)
Epoch: [9][12360/14090]	Time 0.756 (0.769)	Data 0.001 (0.001)	Loss 3.0167 (2.7961)	Prec@1 32.031 (33.603)	Prec@5 61.719 (63.893)
Epoch: [9][12370/14090]	Time 0.753 (0.769)	Data 0.001 (0.001)	Loss 2.7883 (2.7962)	Prec@1 34.375 (33.602)	Prec@5 59.375 (63.892)
Epoch: [9][12380/14090]	Time 0.928 (0.769)	Data 0.001 (0.001)	Loss 2.6603 (2.7962)	Prec@1 32.031 (33.602)	Prec@5 64.844 (63.892)
Epoch: [9][12390/14090]	Time 0.740 (0.769)	Data 0.001 (0.001)	Loss 2.7517 (2.7962)	Prec@1 34.375 (33.602)	Prec@5 58.594 (63.892)
Epoch: [9][12400/14090]	Time 0.770 (0.769)	Data 0.001 (0.001)	Loss 2.7068 (2.7962)	Prec@1 35.156 (33.602)	Prec@5 64.062 (63.891)
Epoch: [9][12410/14090]	Time 0.748 (0.769)	Data 0.001 (0.001)	Loss 3.0253 (2.7961)	Prec@1 34.375 (33.603)	Prec@5 59.375 (63.892)
Epoch: [9][12420/14090]	Time 0.744 (0.769)	Data 0.001 (0.001)	Loss 2.7484 (2.7961)	Prec@1 29.688 (33.601)	Prec@5 63.281 (63.892)
Epoch: [9][12430/14090]	Time 0.753 (0.769)	Data 0.001 (0.001)	Loss 2.7398 (2.7961)	Prec@1 32.031 (33.603)	Prec@5 60.938 (63.892)
Epoch: [9][12440/14090]	Time 0.731 (0.769)	Data 0.001 (0.001)	Loss 2.9735 (2.7961)	Prec@1 30.469 (33.603)	Prec@5 58.594 (63.893)
Epoch: [9][12450/14090]	Time 0.840 (0.769)	Data 0.001 (0.001)	Loss 3.1044 (2.7961)	Prec@1 29.688 (33.602)	Prec@5 56.250 (63.891)
Epoch: [9][12460/14090]	Time 0.754 (0.769)	Data 0.001 (0.001)	Loss 2.7385 (2.7962)	Prec@1 36.719 (33.602)	Prec@5 67.188 (63.892)
Epoch: [9][12470/14090]	Time 0.728 (0.769)	Data 0.003 (0.001)	Loss 2.7659 (2.7961)	Prec@1 30.469 (33.602)	Prec@5 63.281 (63.893)
Epoch: [9][12480/14090]	Time 0.737 (0.769)	Data 0.001 (0.001)	Loss 2.9226 (2.7961)	Prec@1 29.688 (33.602)	Prec@5 58.594 (63.892)
Epoch: [9][12490/14090]	Time 0.763 (0.769)	Data 0.001 (0.001)	Loss 2.6704 (2.7962)	Prec@1 37.500 (33.601)	Prec@5 68.750 (63.890)
Epoch: [9][12500/14090]	Time 0.734 (0.769)	Data 0.001 (0.001)	Loss 2.5493 (2.7962)	Prec@1 40.625 (33.601)	Prec@5 70.312 (63.890)
Epoch: [9][12510/14090]	Time 0.747 (0.769)	Data 0.001 (0.001)	Loss 3.0670 (2.7963)	Prec@1 27.344 (33.600)	Prec@5 63.281 (63.889)
Epoch: [9][12520/14090]	Time 0.882 (0.769)	Data 0.001 (0.001)	Loss 3.0925 (2.7963)	Prec@1 34.375 (33.600)	Prec@5 55.469 (63.888)
Epoch: [9][12530/14090]	Time 0.758 (0.769)	Data 0.001 (0.001)	Loss 2.7223 (2.7962)	Prec@1 35.156 (33.600)	Prec@5 68.750 (63.890)
Epoch: [9][12540/14090]	Time 0.763 (0.769)	Data 0.001 (0.001)	Loss 2.8508 (2.7962)	Prec@1 33.594 (33.601)	Prec@5 66.406 (63.892)
Epoch: [9][12550/14090]	Time 0.734 (0.769)	Data 0.001 (0.001)	Loss 2.7756 (2.7961)	Prec@1 32.031 (33.600)	Prec@5 63.281 (63.893)
Epoch: [9][12560/14090]	Time 0.738 (0.769)	Data 0.001 (0.001)	Loss 2.6906 (2.7962)	Prec@1 32.812 (33.600)	Prec@5 70.312 (63.892)
Epoch: [9][12570/14090]	Time 0.728 (0.769)	Data 0.001 (0.001)	Loss 2.7707 (2.7962)	Prec@1 30.469 (33.599)	Prec@5 64.844 (63.891)
Epoch: [9][12580/14090]	Time 0.746 (0.769)	Data 0.001 (0.001)	Loss 2.9573 (2.7963)	Prec@1 28.906 (33.598)	Prec@5 60.938 (63.891)
Epoch: [9][12590/14090]	Time 0.913 (0.769)	Data 0.001 (0.001)	Loss 2.9690 (2.7962)	Prec@1 30.469 (33.598)	Prec@5 60.156 (63.892)
Epoch: [9][12600/14090]	Time 0.762 (0.769)	Data 0.001 (0.001)	Loss 2.7408 (2.7962)	Prec@1 32.031 (33.598)	Prec@5 64.062 (63.892)
Epoch: [9][12610/14090]	Time 0.757 (0.769)	Data 0.001 (0.001)	Loss 2.8334 (2.7963)	Prec@1 32.031 (33.597)	Prec@5 60.156 (63.891)
Epoch: [9][12620/14090]	Time 0.777 (0.769)	Data 0.001 (0.001)	Loss 3.0380 (2.7963)	Prec@1 29.688 (33.597)	Prec@5 57.031 (63.890)
Epoch: [9][12630/14090]	Time 0.747 (0.769)	Data 0.001 (0.001)	Loss 2.8911 (2.7964)	Prec@1 28.906 (33.597)	Prec@5 62.500 (63.888)
Epoch: [9][12640/14090]	Time 0.761 (0.769)	Data 0.001 (0.001)	Loss 3.0197 (2.7965)	Prec@1 30.469 (33.595)	Prec@5 54.688 (63.888)
Epoch: [9][12650/14090]	Time 0.756 (0.769)	Data 0.001 (0.001)	Loss 2.9882 (2.7965)	Prec@1 32.031 (33.593)	Prec@5 60.938 (63.886)
Epoch: [9][12660/14090]	Time 0.892 (0.769)	Data 0.001 (0.001)	Loss 2.5918 (2.7965)	Prec@1 38.281 (33.593)	Prec@5 68.750 (63.886)
Epoch: [9][12670/14090]	Time 0.743 (0.769)	Data 0.001 (0.001)	Loss 2.8369 (2.7966)	Prec@1 29.688 (33.591)	Prec@5 61.719 (63.885)
Epoch: [9][12680/14090]	Time 0.750 (0.769)	Data 0.001 (0.001)	Loss 2.8727 (2.7965)	Prec@1 33.594 (33.592)	Prec@5 66.406 (63.886)
Epoch: [9][12690/14090]	Time 0.780 (0.769)	Data 0.001 (0.001)	Loss 2.9370 (2.7966)	Prec@1 32.812 (33.592)	Prec@5 58.594 (63.886)
Epoch: [9][12700/14090]	Time 0.749 (0.769)	Data 0.001 (0.001)	Loss 2.8123 (2.7965)	Prec@1 37.500 (33.592)	Prec@5 62.500 (63.888)
Epoch: [9][12710/14090]	Time 0.759 (0.769)	Data 0.001 (0.001)	Loss 2.7285 (2.7965)	Prec@1 36.719 (33.593)	Prec@5 64.844 (63.887)
Epoch: [9][12720/14090]	Time 0.736 (0.769)	Data 0.001 (0.001)	Loss 2.7786 (2.7965)	Prec@1 38.281 (33.593)	Prec@5 60.938 (63.888)
Epoch: [9][12730/14090]	Time 0.874 (0.769)	Data 0.001 (0.001)	Loss 2.7644 (2.7965)	Prec@1 36.719 (33.592)	Prec@5 64.844 (63.888)
Epoch: [9][12740/14090]	Time 0.744 (0.769)	Data 0.001 (0.001)	Loss 2.6254 (2.7965)	Prec@1 39.844 (33.593)	Prec@5 64.062 (63.889)
Epoch: [9][12750/14090]	Time 0.744 (0.769)	Data 0.001 (0.001)	Loss 2.7036 (2.7964)	Prec@1 35.938 (33.593)	Prec@5 65.625 (63.889)
Epoch: [9][12760/14090]	Time 0.751 (0.769)	Data 0.001 (0.001)	Loss 2.7802 (2.7965)	Prec@1 30.469 (33.592)	Prec@5 63.281 (63.889)
Epoch: [9][12770/14090]	Time 0.739 (0.769)	Data 0.001 (0.001)	Loss 3.1282 (2.7965)	Prec@1 28.906 (33.592)	Prec@5 58.594 (63.887)
Epoch: [9][12780/14090]	Time 0.765 (0.769)	Data 0.002 (0.001)	Loss 2.6242 (2.7965)	Prec@1 32.812 (33.591)	Prec@5 66.406 (63.887)
Epoch: [9][12790/14090]	Time 0.754 (0.769)	Data 0.001 (0.001)	Loss 2.9914 (2.7966)	Prec@1 32.812 (33.589)	Prec@5 59.375 (63.886)
Epoch: [9][12800/14090]	Time 0.850 (0.769)	Data 0.001 (0.001)	Loss 2.6300 (2.7967)	Prec@1 33.594 (33.588)	Prec@5 65.625 (63.885)
Epoch: [9][12810/14090]	Time 0.746 (0.769)	Data 0.001 (0.001)	Loss 2.7722 (2.7967)	Prec@1 32.031 (33.588)	Prec@5 64.844 (63.884)
Epoch: [9][12820/14090]	Time 0.741 (0.769)	Data 0.001 (0.001)	Loss 2.7555 (2.7967)	Prec@1 33.594 (33.588)	Prec@5 59.375 (63.884)
Epoch: [9][12830/14090]	Time 0.770 (0.769)	Data 0.001 (0.001)	Loss 2.9248 (2.7967)	Prec@1 28.125 (33.587)	Prec@5 60.938 (63.884)
Epoch: [9][12840/14090]	Time 0.761 (0.769)	Data 0.001 (0.001)	Loss 2.9148 (2.7966)	Prec@1 32.812 (33.587)	Prec@5 61.719 (63.885)
Epoch: [9][12850/14090]	Time 0.763 (0.769)	Data 0.001 (0.001)	Loss 2.6142 (2.7966)	Prec@1 35.156 (33.587)	Prec@5 64.844 (63.885)
Epoch: [9][12860/14090]	Time 0.773 (0.769)	Data 0.001 (0.001)	Loss 3.0588 (2.7966)	Prec@1 28.906 (33.586)	Prec@5 57.812 (63.884)
Epoch: [9][12870/14090]	Time 0.895 (0.769)	Data 0.001 (0.001)	Loss 2.7917 (2.7966)	Prec@1 35.156 (33.587)	Prec@5 64.062 (63.884)
Epoch: [9][12880/14090]	Time 0.751 (0.769)	Data 0.001 (0.001)	Loss 2.8091 (2.7966)	Prec@1 34.375 (33.588)	Prec@5 64.062 (63.884)
Epoch: [9][12890/14090]	Time 0.786 (0.769)	Data 0.001 (0.001)	Loss 2.7983 (2.7967)	Prec@1 32.812 (33.588)	Prec@5 66.406 (63.884)
Epoch: [9][12900/14090]	Time 0.751 (0.769)	Data 0.001 (0.001)	Loss 2.7954 (2.7966)	Prec@1 34.375 (33.587)	Prec@5 66.406 (63.883)
Epoch: [9][12910/14090]	Time 0.775 (0.769)	Data 0.001 (0.001)	Loss 2.6768 (2.7966)	Prec@1 33.594 (33.588)	Prec@5 68.750 (63.882)
Epoch: [9][12920/14090]	Time 0.753 (0.769)	Data 0.001 (0.001)	Loss 2.7067 (2.7966)	Prec@1 38.281 (33.588)	Prec@5 66.406 (63.881)
Epoch: [9][12930/14090]	Time 0.734 (0.769)	Data 0.001 (0.001)	Loss 2.7294 (2.7966)	Prec@1 38.281 (33.589)	Prec@5 66.406 (63.882)
Epoch: [9][12940/14090]	Time 0.986 (0.769)	Data 0.001 (0.001)	Loss 2.6730 (2.7966)	Prec@1 36.719 (33.589)	Prec@5 66.406 (63.883)
Epoch: [9][12950/14090]	Time 0.752 (0.769)	Data 0.001 (0.001)	Loss 2.6961 (2.7967)	Prec@1 29.688 (33.587)	Prec@5 60.938 (63.881)
Epoch: [9][12960/14090]	Time 0.745 (0.769)	Data 0.001 (0.001)	Loss 2.9570 (2.7967)	Prec@1 34.375 (33.586)	Prec@5 63.281 (63.878)
Epoch: [9][12970/14090]	Time 0.736 (0.769)	Data 0.001 (0.001)	Loss 2.5746 (2.7967)	Prec@1 35.938 (33.586)	Prec@5 71.094 (63.880)
Epoch: [9][12980/14090]	Time 0.754 (0.769)	Data 0.001 (0.001)	Loss 2.6312 (2.7966)	Prec@1 30.469 (33.588)	Prec@5 66.406 (63.881)
Epoch: [9][12990/14090]	Time 0.762 (0.769)	Data 0.001 (0.001)	Loss 2.8586 (2.7966)	Prec@1 32.812 (33.588)	Prec@5 64.062 (63.882)
Epoch: [9][13000/14090]	Time 0.735 (0.769)	Data 0.001 (0.001)	Loss 2.7266 (2.7965)	Prec@1 33.594 (33.588)	Prec@5 68.750 (63.884)
Epoch: [9][13010/14090]	Time 0.905 (0.769)	Data 0.001 (0.001)	Loss 2.6603 (2.7965)	Prec@1 35.156 (33.588)	Prec@5 66.406 (63.885)
Epoch: [9][13020/14090]	Time 0.730 (0.769)	Data 0.001 (0.001)	Loss 2.5444 (2.7964)	Prec@1 35.938 (33.588)	Prec@5 69.531 (63.886)
Epoch: [9][13030/14090]	Time 0.753 (0.769)	Data 0.003 (0.001)	Loss 2.8060 (2.7965)	Prec@1 33.594 (33.586)	Prec@5 68.750 (63.886)
Epoch: [9][13040/14090]	Time 0.759 (0.769)	Data 0.001 (0.001)	Loss 2.5486 (2.7964)	Prec@1 35.156 (33.587)	Prec@5 71.094 (63.887)
Epoch: [9][13050/14090]	Time 0.731 (0.769)	Data 0.001 (0.001)	Loss 2.7562 (2.7963)	Prec@1 32.031 (33.587)	Prec@5 62.500 (63.888)
Epoch: [9][13060/14090]	Time 0.752 (0.769)	Data 0.001 (0.001)	Loss 2.6914 (2.7963)	Prec@1 36.719 (33.587)	Prec@5 64.844 (63.887)
Epoch: [9][13070/14090]	Time 0.747 (0.769)	Data 0.001 (0.001)	Loss 2.7761 (2.7963)	Prec@1 33.594 (33.588)	Prec@5 64.062 (63.886)
Epoch: [9][13080/14090]	Time 0.898 (0.769)	Data 0.001 (0.001)	Loss 2.7083 (2.7963)	Prec@1 39.062 (33.590)	Prec@5 66.406 (63.887)
Epoch: [9][13090/14090]	Time 0.763 (0.769)	Data 0.001 (0.001)	Loss 2.8862 (2.7962)	Prec@1 28.906 (33.591)	Prec@5 64.062 (63.887)
Epoch: [9][13100/14090]	Time 0.738 (0.769)	Data 0.001 (0.001)	Loss 2.7417 (2.7962)	Prec@1 32.812 (33.591)	Prec@5 64.062 (63.886)
Epoch: [9][13110/14090]	Time 0.727 (0.769)	Data 0.001 (0.001)	Loss 2.7233 (2.7962)	Prec@1 28.906 (33.590)	Prec@5 65.625 (63.885)
Epoch: [9][13120/14090]	Time 0.756 (0.769)	Data 0.001 (0.001)	Loss 2.6806 (2.7962)	Prec@1 35.938 (33.591)	Prec@5 67.188 (63.887)
Epoch: [9][13130/14090]	Time 0.742 (0.769)	Data 0.001 (0.001)	Loss 2.8993 (2.7962)	Prec@1 34.375 (33.592)	Prec@5 57.812 (63.887)
Epoch: [9][13140/14090]	Time 0.763 (0.769)	Data 0.001 (0.001)	Loss 2.8848 (2.7961)	Prec@1 29.688 (33.592)	Prec@5 60.156 (63.888)
Epoch: [9][13150/14090]	Time 0.882 (0.769)	Data 0.001 (0.001)	Loss 2.8688 (2.7961)	Prec@1 32.031 (33.592)	Prec@5 64.844 (63.888)
Epoch: [9][13160/14090]	Time 0.767 (0.769)	Data 0.001 (0.001)	Loss 3.0174 (2.7961)	Prec@1 26.562 (33.592)	Prec@5 58.594 (63.888)
Epoch: [9][13170/14090]	Time 0.733 (0.769)	Data 0.001 (0.001)	Loss 2.9721 (2.7961)	Prec@1 28.125 (33.591)	Prec@5 62.500 (63.889)
Epoch: [9][13180/14090]	Time 0.750 (0.769)	Data 0.001 (0.001)	Loss 2.5718 (2.7960)	Prec@1 44.531 (33.594)	Prec@5 70.312 (63.890)
Epoch: [9][13190/14090]	Time 0.761 (0.769)	Data 0.001 (0.001)	Loss 2.9171 (2.7960)	Prec@1 31.250 (33.594)	Prec@5 52.344 (63.889)
Epoch: [9][13200/14090]	Time 0.737 (0.769)	Data 0.001 (0.001)	Loss 2.6615 (2.7959)	Prec@1 37.500 (33.595)	Prec@5 64.062 (63.890)
Epoch: [9][13210/14090]	Time 0.763 (0.769)	Data 0.001 (0.001)	Loss 2.7154 (2.7960)	Prec@1 34.375 (33.594)	Prec@5 64.844 (63.889)
Epoch: [9][13220/14090]	Time 0.854 (0.769)	Data 0.001 (0.001)	Loss 2.5100 (2.7959)	Prec@1 41.406 (33.594)	Prec@5 70.312 (63.891)
Epoch: [9][13230/14090]	Time 0.727 (0.769)	Data 0.001 (0.001)	Loss 2.7117 (2.7959)	Prec@1 37.500 (33.596)	Prec@5 60.938 (63.891)
Epoch: [9][13240/14090]	Time 0.736 (0.769)	Data 0.001 (0.001)	Loss 2.7750 (2.7959)	Prec@1 29.688 (33.595)	Prec@5 64.062 (63.890)
Epoch: [9][13250/14090]	Time 0.745 (0.769)	Data 0.001 (0.001)	Loss 2.7436 (2.7959)	Prec@1 31.250 (33.596)	Prec@5 64.062 (63.889)
Epoch: [9][13260/14090]	Time 0.766 (0.769)	Data 0.001 (0.001)	Loss 2.8334 (2.7959)	Prec@1 35.938 (33.594)	Prec@5 64.844 (63.889)
Epoch: [9][13270/14090]	Time 0.746 (0.769)	Data 0.001 (0.001)	Loss 2.6233 (2.7959)	Prec@1 35.938 (33.596)	Prec@5 65.625 (63.888)
Epoch: [9][13280/14090]	Time 0.769 (0.769)	Data 0.001 (0.001)	Loss 2.9346 (2.7958)	Prec@1 31.250 (33.597)	Prec@5 60.156 (63.890)
Epoch: [9][13290/14090]	Time 0.871 (0.769)	Data 0.001 (0.001)	Loss 2.8531 (2.7958)	Prec@1 35.938 (33.599)	Prec@5 61.719 (63.890)
Epoch: [9][13300/14090]	Time 0.734 (0.769)	Data 0.001 (0.001)	Loss 2.9780 (2.7958)	Prec@1 31.250 (33.598)	Prec@5 53.906 (63.890)
Epoch: [9][13310/14090]	Time 0.740 (0.769)	Data 0.001 (0.001)	Loss 3.0040 (2.7958)	Prec@1 28.906 (33.597)	Prec@5 54.688 (63.888)
Epoch: [9][13320/14090]	Time 0.778 (0.769)	Data 0.001 (0.001)	Loss 2.7071 (2.7958)	Prec@1 33.594 (33.597)	Prec@5 69.531 (63.888)
Epoch: [9][13330/14090]	Time 0.757 (0.769)	Data 0.001 (0.001)	Loss 2.5682 (2.7958)	Prec@1 38.281 (33.597)	Prec@5 65.625 (63.888)
Epoch: [9][13340/14090]	Time 0.763 (0.769)	Data 0.001 (0.001)	Loss 2.8219 (2.7957)	Prec@1 33.594 (33.596)	Prec@5 60.156 (63.888)
Epoch: [9][13350/14090]	Time 0.755 (0.769)	Data 0.001 (0.001)	Loss 2.6907 (2.7958)	Prec@1 39.844 (33.597)	Prec@5 68.750 (63.888)
Epoch: [9][13360/14090]	Time 0.872 (0.769)	Data 0.001 (0.001)	Loss 2.5361 (2.7957)	Prec@1 37.500 (33.597)	Prec@5 71.875 (63.889)
Epoch: [9][13370/14090]	Time 0.761 (0.769)	Data 0.001 (0.001)	Loss 2.9313 (2.7958)	Prec@1 30.469 (33.596)	Prec@5 60.938 (63.889)
Epoch: [9][13380/14090]	Time 0.736 (0.769)	Data 0.001 (0.001)	Loss 2.6666 (2.7957)	Prec@1 40.625 (33.596)	Prec@5 64.062 (63.890)
Epoch: [9][13390/14090]	Time 0.752 (0.769)	Data 0.001 (0.001)	Loss 2.9378 (2.7958)	Prec@1 28.125 (33.595)	Prec@5 60.938 (63.889)
Epoch: [9][13400/14090]	Time 0.759 (0.769)	Data 0.001 (0.001)	Loss 3.2400 (2.7958)	Prec@1 25.781 (33.595)	Prec@5 53.125 (63.888)
Epoch: [9][13410/14090]	Time 0.757 (0.769)	Data 0.001 (0.001)	Loss 2.7922 (2.7958)	Prec@1 28.125 (33.594)	Prec@5 64.844 (63.888)
Epoch: [9][13420/14090]	Time 0.730 (0.769)	Data 0.001 (0.001)	Loss 3.0191 (2.7958)	Prec@1 30.469 (33.594)	Prec@5 60.156 (63.887)
Epoch: [9][13430/14090]	Time 0.837 (0.769)	Data 0.001 (0.001)	Loss 2.6472 (2.7959)	Prec@1 32.812 (33.593)	Prec@5 69.531 (63.885)
Epoch: [9][13440/14090]	Time 0.761 (0.769)	Data 0.001 (0.001)	Loss 3.0794 (2.7959)	Prec@1 27.344 (33.593)	Prec@5 56.250 (63.884)
Epoch: [9][13450/14090]	Time 0.744 (0.769)	Data 0.001 (0.001)	Loss 2.7172 (2.7959)	Prec@1 31.250 (33.593)	Prec@5 61.719 (63.884)
Epoch: [9][13460/14090]	Time 0.754 (0.769)	Data 0.001 (0.001)	Loss 2.5471 (2.7959)	Prec@1 39.062 (33.593)	Prec@5 73.438 (63.885)
Epoch: [9][13470/14090]	Time 0.738 (0.769)	Data 0.001 (0.001)	Loss 2.7349 (2.7958)	Prec@1 39.062 (33.595)	Prec@5 64.844 (63.886)
Epoch: [9][13480/14090]	Time 0.749 (0.769)	Data 0.001 (0.001)	Loss 2.6544 (2.7959)	Prec@1 28.906 (33.593)	Prec@5 67.188 (63.885)
Epoch: [9][13490/14090]	Time 0.775 (0.769)	Data 0.001 (0.001)	Loss 2.6289 (2.7959)	Prec@1 35.938 (33.592)	Prec@5 69.531 (63.884)
Epoch: [9][13500/14090]	Time 0.844 (0.769)	Data 0.001 (0.001)	Loss 2.3238 (2.7959)	Prec@1 39.844 (33.592)	Prec@5 75.781 (63.885)
Epoch: [9][13510/14090]	Time 0.750 (0.769)	Data 0.001 (0.001)	Loss 2.9018 (2.7959)	Prec@1 30.469 (33.593)	Prec@5 58.594 (63.886)
Epoch: [9][13520/14090]	Time 0.747 (0.769)	Data 0.001 (0.001)	Loss 3.0408 (2.7958)	Prec@1 32.031 (33.594)	Prec@5 58.594 (63.886)
Epoch: [9][13530/14090]	Time 0.737 (0.769)	Data 0.001 (0.001)	Loss 2.7386 (2.7958)	Prec@1 35.938 (33.594)	Prec@5 67.969 (63.886)
Epoch: [9][13540/14090]	Time 0.745 (0.769)	Data 0.001 (0.001)	Loss 2.8960 (2.7959)	Prec@1 30.469 (33.592)	Prec@5 64.062 (63.885)
Epoch: [9][13550/14090]	Time 0.758 (0.769)	Data 0.001 (0.001)	Loss 2.5673 (2.7959)	Prec@1 36.719 (33.592)	Prec@5 71.875 (63.885)
Epoch: [9][13560/14090]	Time 0.748 (0.769)	Data 0.001 (0.001)	Loss 2.4886 (2.7959)	Prec@1 42.188 (33.593)	Prec@5 66.406 (63.885)
Epoch: [9][13570/14090]	Time 1.000 (0.769)	Data 0.001 (0.001)	Loss 3.0702 (2.7959)	Prec@1 28.906 (33.593)	Prec@5 58.594 (63.885)
Epoch: [9][13580/14090]	Time 0.723 (0.769)	Data 0.001 (0.001)	Loss 2.8639 (2.7959)	Prec@1 33.594 (33.593)	Prec@5 61.719 (63.886)
Epoch: [9][13590/14090]	Time 0.760 (0.769)	Data 0.001 (0.001)	Loss 2.5264 (2.7959)	Prec@1 35.156 (33.594)	Prec@5 70.312 (63.886)
Epoch: [9][13600/14090]	Time 0.738 (0.769)	Data 0.001 (0.001)	Loss 2.6479 (2.7959)	Prec@1 37.500 (33.594)	Prec@5 63.281 (63.885)
Epoch: [9][13610/14090]	Time 0.748 (0.769)	Data 0.001 (0.001)	Loss 2.6846 (2.7959)	Prec@1 35.938 (33.593)	Prec@5 67.969 (63.884)
Epoch: [9][13620/14090]	Time 0.751 (0.769)	Data 0.001 (0.001)	Loss 2.8294 (2.7959)	Prec@1 35.156 (33.595)	Prec@5 61.719 (63.884)
Epoch: [9][13630/14090]	Time 0.763 (0.769)	Data 0.001 (0.001)	Loss 2.7506 (2.7959)	Prec@1 35.938 (33.595)	Prec@5 65.625 (63.884)
Epoch: [9][13640/14090]	Time 0.868 (0.769)	Data 0.001 (0.001)	Loss 2.6988 (2.7959)	Prec@1 33.594 (33.595)	Prec@5 64.844 (63.886)
Epoch: [9][13650/14090]	Time 0.767 (0.769)	Data 0.001 (0.001)	Loss 2.7514 (2.7959)	Prec@1 32.031 (33.595)	Prec@5 60.938 (63.885)
Epoch: [9][13660/14090]	Time 0.783 (0.769)	Data 0.001 (0.001)	Loss 2.6531 (2.7959)	Prec@1 39.844 (33.596)	Prec@5 66.406 (63.885)
Epoch: [9][13670/14090]	Time 0.750 (0.769)	Data 0.001 (0.001)	Loss 2.8471 (2.7959)	Prec@1 30.469 (33.596)	Prec@5 60.938 (63.886)
Epoch: [9][13680/14090]	Time 0.757 (0.769)	Data 0.001 (0.001)	Loss 2.8320 (2.7959)	Prec@1 32.031 (33.595)	Prec@5 62.500 (63.885)
Epoch: [9][13690/14090]	Time 0.729 (0.769)	Data 0.001 (0.001)	Loss 3.1534 (2.7959)	Prec@1 20.312 (33.594)	Prec@5 53.125 (63.885)
Epoch: [9][13700/14090]	Time 0.740 (0.769)	Data 0.001 (0.001)	Loss 3.0225 (2.7959)	Prec@1 30.469 (33.596)	Prec@5 63.281 (63.887)
Epoch: [9][13710/14090]	Time 0.854 (0.769)	Data 0.001 (0.001)	Loss 2.7944 (2.7958)	Prec@1 32.031 (33.595)	Prec@5 64.844 (63.888)
Epoch: [9][13720/14090]	Time 0.724 (0.769)	Data 0.001 (0.001)	Loss 2.9826 (2.7958)	Prec@1 24.219 (33.595)	Prec@5 63.281 (63.888)
Epoch: [9][13730/14090]	Time 0.747 (0.769)	Data 0.001 (0.001)	Loss 2.7309 (2.7958)	Prec@1 31.250 (33.595)	Prec@5 66.406 (63.889)
Epoch: [9][13740/14090]	Time 0.755 (0.769)	Data 0.001 (0.001)	Loss 2.6390 (2.7958)	Prec@1 36.719 (33.594)	Prec@5 68.750 (63.889)
Epoch: [9][13750/14090]	Time 0.776 (0.769)	Data 0.001 (0.001)	Loss 3.0635 (2.7958)	Prec@1 26.562 (33.593)	Prec@5 59.375 (63.890)
Epoch: [9][13760/14090]	Time 0.740 (0.769)	Data 0.001 (0.001)	Loss 2.5314 (2.7958)	Prec@1 34.375 (33.594)	Prec@5 64.062 (63.890)
Epoch: [9][13770/14090]	Time 0.730 (0.769)	Data 0.001 (0.001)	Loss 2.8442 (2.7958)	Prec@1 35.156 (33.594)	Prec@5 64.062 (63.888)
Epoch: [9][13780/14090]	Time 0.878 (0.769)	Data 0.001 (0.001)	Loss 2.9745 (2.7958)	Prec@1 28.125 (33.593)	Prec@5 62.500 (63.888)
Epoch: [9][13790/14090]	Time 0.757 (0.769)	Data 0.001 (0.001)	Loss 2.9676 (2.7958)	Prec@1 29.688 (33.593)	Prec@5 59.375 (63.887)
Epoch: [9][13800/14090]	Time 0.733 (0.769)	Data 0.001 (0.001)	Loss 2.5247 (2.7958)	Prec@1 37.500 (33.592)	Prec@5 69.531 (63.888)
Epoch: [9][13810/14090]	Time 0.759 (0.769)	Data 0.001 (0.001)	Loss 2.6904 (2.7958)	Prec@1 39.844 (33.593)	Prec@5 68.750 (63.887)
Epoch: [9][13820/14090]	Time 0.773 (0.769)	Data 0.001 (0.001)	Loss 2.9810 (2.7957)	Prec@1 26.562 (33.593)	Prec@5 63.281 (63.888)
Epoch: [9][13830/14090]	Time 0.731 (0.769)	Data 0.001 (0.001)	Loss 2.6525 (2.7956)	Prec@1 39.062 (33.595)	Prec@5 65.625 (63.890)
Epoch: [9][13840/14090]	Time 0.769 (0.769)	Data 0.001 (0.001)	Loss 3.1865 (2.7957)	Prec@1 25.000 (33.593)	Prec@5 55.469 (63.889)
Epoch: [9][13850/14090]	Time 1.057 (0.769)	Data 0.001 (0.001)	Loss 2.8550 (2.7957)	Prec@1 33.594 (33.594)	Prec@5 62.500 (63.889)
Epoch: [9][13860/14090]	Time 0.749 (0.769)	Data 0.001 (0.001)	Loss 2.9748 (2.7957)	Prec@1 25.781 (33.594)	Prec@5 63.281 (63.891)
Epoch: [9][13870/14090]	Time 0.759 (0.769)	Data 0.001 (0.001)	Loss 2.6191 (2.7956)	Prec@1 39.062 (33.595)	Prec@5 69.531 (63.893)
Epoch: [9][13880/14090]	Time 0.733 (0.769)	Data 0.001 (0.001)	Loss 2.6946 (2.7956)	Prec@1 37.500 (33.596)	Prec@5 66.406 (63.893)
Epoch: [9][13890/14090]	Time 0.730 (0.769)	Data 0.001 (0.001)	Loss 2.7580 (2.7957)	Prec@1 35.938 (33.595)	Prec@5 64.062 (63.892)
Epoch: [9][13900/14090]	Time 0.748 (0.769)	Data 0.001 (0.001)	Loss 2.4859 (2.7956)	Prec@1 39.062 (33.595)	Prec@5 69.531 (63.892)
Epoch: [9][13910/14090]	Time 0.797 (0.769)	Data 0.001 (0.001)	Loss 2.7334 (2.7957)	Prec@1 29.688 (33.594)	Prec@5 64.844 (63.892)
Epoch: [9][13920/14090]	Time 0.846 (0.769)	Data 0.001 (0.001)	Loss 2.8065 (2.7957)	Prec@1 32.031 (33.592)	Prec@5 62.500 (63.891)
Epoch: [9][13930/14090]	Time 0.733 (0.769)	Data 0.001 (0.001)	Loss 2.7478 (2.7957)	Prec@1 30.469 (33.591)	Prec@5 64.062 (63.891)
Epoch: [9][13940/14090]	Time 0.755 (0.769)	Data 0.001 (0.001)	Loss 2.8745 (2.7957)	Prec@1 26.562 (33.589)	Prec@5 63.281 (63.891)
Epoch: [9][13950/14090]	Time 0.755 (0.769)	Data 0.001 (0.001)	Loss 2.7461 (2.7957)	Prec@1 38.281 (33.589)	Prec@5 58.594 (63.890)
Epoch: [9][13960/14090]	Time 0.743 (0.769)	Data 0.001 (0.001)	Loss 2.7898 (2.7958)	Prec@1 29.688 (33.588)	Prec@5 61.719 (63.888)
Epoch: [9][13970/14090]	Time 0.757 (0.769)	Data 0.001 (0.001)	Loss 2.7243 (2.7959)	Prec@1 36.719 (33.585)	Prec@5 68.750 (63.885)
Epoch: [9][13980/14090]	Time 0.733 (0.769)	Data 0.001 (0.001)	Loss 3.0029 (2.7958)	Prec@1 32.031 (33.586)	Prec@5 63.281 (63.886)
Epoch: [9][13990/14090]	Time 0.887 (0.769)	Data 0.001 (0.001)	Loss 2.7026 (2.7958)	Prec@1 36.719 (33.586)	Prec@5 64.844 (63.887)
Epoch: [9][14000/14090]	Time 0.764 (0.769)	Data 0.001 (0.001)	Loss 2.8289 (2.7958)	Prec@1 37.500 (33.586)	Prec@5 63.281 (63.886)
Epoch: [9][14010/14090]	Time 0.738 (0.769)	Data 0.001 (0.001)	Loss 2.9682 (2.7957)	Prec@1 32.812 (33.588)	Prec@5 59.375 (63.886)
Epoch: [9][14020/14090]	Time 0.723 (0.769)	Data 0.001 (0.001)	Loss 2.8050 (2.7957)	Prec@1 32.812 (33.588)	Prec@5 66.406 (63.887)
Epoch: [9][14030/14090]	Time 0.754 (0.769)	Data 0.001 (0.001)	Loss 2.7246 (2.7957)	Prec@1 32.812 (33.589)	Prec@5 67.969 (63.886)
Epoch: [9][14040/14090]	Time 0.759 (0.769)	Data 0.001 (0.001)	Loss 2.7136 (2.7957)	Prec@1 34.375 (33.589)	Prec@5 64.062 (63.886)
Epoch: [9][14050/14090]	Time 0.733 (0.769)	Data 0.001 (0.001)	Loss 2.8192 (2.7957)	Prec@1 34.375 (33.589)	Prec@5 64.062 (63.888)
Epoch: [9][14060/14090]	Time 0.851 (0.769)	Data 0.001 (0.001)	Loss 2.6992 (2.7956)	Prec@1 34.375 (33.590)	Prec@5 66.406 (63.889)
Epoch: [9][14070/14090]	Time 0.731 (0.769)	Data 0.001 (0.001)	Loss 3.0144 (2.7956)	Prec@1 31.250 (33.590)	Prec@5 61.719 (63.889)
Epoch: [9][14080/14090]	Time 0.739 (0.769)	Data 0.000 (0.001)	Loss 3.0329 (2.7956)	Prec@1 32.031 (33.591)	Prec@5 58.594 (63.888)
Test: [0/286]	Time 2.908 (2.908)	Loss 1.2386 (1.2386)	Prec@1 60.938 (60.938)	Prec@5 93.750 (93.750)
Test: [10/286]	Time 0.267 (0.502)	Loss 2.4834 (2.5890)	Prec@1 27.344 (37.997)	Prec@5 78.125 (70.312)
Test: [20/286]	Time 0.273 (0.387)	Loss 2.2457 (2.5989)	Prec@1 46.875 (37.574)	Prec@5 82.031 (70.052)
Test: [30/286]	Time 0.360 (0.347)	Loss 2.9407 (2.4896)	Prec@1 30.469 (40.499)	Prec@5 59.375 (71.270)
Test: [40/286]	Time 0.238 (0.323)	Loss 2.2448 (2.4975)	Prec@1 37.500 (39.977)	Prec@5 77.344 (70.713)
Test: [50/286]	Time 0.250 (0.311)	Loss 1.0966 (2.5141)	Prec@1 78.125 (39.476)	Prec@5 88.281 (70.312)
Test: [60/286]	Time 0.250 (0.302)	Loss 4.1042 (2.5709)	Prec@1 15.625 (38.768)	Prec@5 39.844 (68.955)
Test: [70/286]	Time 0.239 (0.295)	Loss 1.6767 (2.5712)	Prec@1 62.500 (38.479)	Prec@5 84.375 (68.849)
Test: [80/286]	Time 0.284 (0.290)	Loss 2.7171 (2.5711)	Prec@1 25.781 (38.021)	Prec@5 67.188 (68.779)
Test: [90/286]	Time 0.246 (0.285)	Loss 2.6587 (2.5608)	Prec@1 36.719 (37.938)	Prec@5 72.656 (69.248)
Test: [100/286]	Time 0.260 (0.282)	Loss 2.8126 (2.5606)	Prec@1 23.438 (37.616)	Prec@5 61.719 (69.276)
Test: [110/286]	Time 0.246 (0.279)	Loss 2.8018 (2.5367)	Prec@1 29.688 (37.739)	Prec@5 66.406 (69.883)
Test: [120/286]	Time 0.246 (0.276)	Loss 2.3721 (2.5117)	Prec@1 48.438 (38.372)	Prec@5 74.219 (70.358)
Test: [130/286]	Time 0.313 (0.275)	Loss 1.5777 (2.4890)	Prec@1 58.594 (38.991)	Prec@5 92.969 (70.730)
Test: [140/286]	Time 0.268 (0.273)	Loss 2.5647 (2.4718)	Prec@1 46.094 (39.345)	Prec@5 70.312 (71.121)
Test: [150/286]	Time 0.231 (0.272)	Loss 3.9741 (2.4878)	Prec@1 14.844 (39.037)	Prec@5 48.438 (70.939)
Test: [160/286]	Time 0.247 (0.271)	Loss 3.7730 (2.5031)	Prec@1 7.812 (38.568)	Prec@5 39.844 (70.565)
Test: [170/286]	Time 0.247 (0.270)	Loss 2.5780 (2.4898)	Prec@1 35.156 (38.656)	Prec@5 75.000 (70.984)
Test: [180/286]	Time 0.319 (0.270)	Loss 3.0458 (2.5115)	Prec@1 30.469 (38.195)	Prec@5 58.594 (70.563)
Test: [190/286]	Time 0.231 (0.269)	Loss 2.9652 (2.5319)	Prec@1 11.719 (37.553)	Prec@5 71.094 (70.300)
Test: [200/286]	Time 0.243 (0.268)	Loss 2.0970 (2.5189)	Prec@1 56.250 (37.885)	Prec@5 82.031 (70.487)
Test: [210/286]	Time 0.260 (0.267)	Loss 4.0655 (2.5438)	Prec@1 7.812 (37.370)	Prec@5 42.188 (69.964)
Test: [220/286]	Time 0.236 (0.267)	Loss 4.0768 (2.5445)	Prec@1 10.938 (37.549)	Prec@5 31.250 (69.825)
Test: [230/286]	Time 0.317 (0.266)	Loss 1.6694 (2.5373)	Prec@1 62.500 (37.689)	Prec@5 81.250 (69.913)
Test: [240/286]	Time 0.269 (0.266)	Loss 3.1762 (2.5416)	Prec@1 27.344 (37.779)	Prec@5 54.688 (69.842)
Test: [250/286]	Time 0.232 (0.266)	Loss 1.9115 (2.5319)	Prec@1 53.125 (37.833)	Prec@5 80.469 (70.172)
Test: [260/286]	Time 0.242 (0.265)	Loss 2.4553 (2.5250)	Prec@1 32.812 (37.937)	Prec@5 73.438 (70.375)
Test: [270/286]	Time 0.252 (0.264)	Loss 1.9144 (2.5177)	Prec@1 55.469 (38.082)	Prec@5 81.250 (70.497)
Test: [280/286]	Time 0.314 (0.264)	Loss 1.9879 (2.5024)	Prec@1 52.344 (38.573)	Prec@5 81.250 (70.674)
 * Prec@1 38.716 Prec@5 70.734
Epoch: [10][0/14090]	Time 4.323 (4.323)	Data 3.528 (3.528)	Loss 2.8737 (2.8737)	Prec@1 31.250 (31.250)	Prec@5 62.500 (62.500)
Epoch: [10][10/14090]	Time 0.765 (1.084)	Data 0.001 (0.321)	Loss 2.9343 (2.9099)	Prec@1 34.375 (30.540)	Prec@5 59.375 (60.724)
Epoch: [10][20/14090]	Time 0.730 (0.927)	Data 0.001 (0.169)	Loss 2.5838 (2.8383)	Prec@1 37.500 (32.589)	Prec@5 68.750 (62.984)
Epoch: [10][30/14090]	Time 0.881 (0.877)	Data 0.001 (0.115)	Loss 2.9189 (2.8421)	Prec@1 28.125 (32.082)	Prec@5 57.812 (62.525)
Epoch: [10][40/14090]	Time 0.744 (0.848)	Data 0.001 (0.087)	Loss 2.8692 (2.8490)	Prec@1 28.906 (32.107)	Prec@5 60.938 (62.557)
Epoch: [10][50/14090]	Time 0.743 (0.831)	Data 0.001 (0.070)	Loss 2.7130 (2.8455)	Prec@1 36.719 (32.445)	Prec@5 68.750 (62.806)
Epoch: [10][60/14090]	Time 0.748 (0.820)	Data 0.001 (0.059)	Loss 2.8472 (2.8396)	Prec@1 28.906 (32.441)	Prec@5 64.844 (63.115)
Epoch: [10][70/14090]	Time 0.751 (0.812)	Data 0.001 (0.051)	Loss 2.9580 (2.8447)	Prec@1 33.594 (32.350)	Prec@5 57.812 (62.896)
Epoch: [10][80/14090]	Time 0.755 (0.808)	Data 0.001 (0.044)	Loss 2.5824 (2.8297)	Prec@1 35.156 (32.639)	Prec@5 70.312 (63.349)
Epoch: [10][90/14090]	Time 0.756 (0.802)	Data 0.001 (0.040)	Loss 2.5537 (2.8206)	Prec@1 38.281 (32.855)	Prec@5 72.656 (63.410)
Epoch: [10][100/14090]	Time 0.938 (0.800)	Data 0.001 (0.036)	Loss 2.8131 (2.8193)	Prec@1 30.469 (32.820)	Prec@5 68.750 (63.529)
Epoch: [10][110/14090]	Time 0.753 (0.797)	Data 0.001 (0.033)	Loss 2.9639 (2.8176)	Prec@1 29.688 (32.848)	Prec@5 61.719 (63.584)
Epoch: [10][120/14090]	Time 0.734 (0.794)	Data 0.001 (0.030)	Loss 2.7333 (2.8132)	Prec@1 32.812 (32.967)	Prec@5 60.938 (63.720)
Epoch: [10][130/14090]	Time 0.732 (0.793)	Data 0.001 (0.028)	Loss 2.8938 (2.8137)	Prec@1 33.594 (33.021)	Prec@5 59.375 (63.681)
Epoch: [10][140/14090]	Time 0.762 (0.790)	Data 0.001 (0.026)	Loss 2.6892 (2.8069)	Prec@1 34.375 (33.167)	Prec@5 67.969 (63.813)
Epoch: [10][150/14090]	Time 0.768 (0.790)	Data 0.001 (0.024)	Loss 2.7830 (2.8090)	Prec@1 35.938 (33.175)	Prec@5 59.375 (63.778)
Epoch: [10][160/14090]	Time 0.795 (0.788)	Data 0.002 (0.023)	Loss 3.0489 (2.8098)	Prec@1 34.375 (33.206)	Prec@5 57.031 (63.912)
Epoch: [10][170/14090]	Time 0.912 (0.787)	Data 0.001 (0.022)	Loss 2.6662 (2.7992)	Prec@1 34.375 (33.429)	Prec@5 64.844 (64.017)
Epoch: [10][180/14090]	Time 0.726 (0.786)	Data 0.001 (0.020)	Loss 2.7376 (2.7998)	Prec@1 35.156 (33.494)	Prec@5 59.375 (63.959)
Epoch: [10][190/14090]	Time 0.766 (0.785)	Data 0.001 (0.019)	Loss 2.7441 (2.7959)	Prec@1 35.156 (33.516)	Prec@5 63.281 (64.030)
Epoch: [10][200/14090]	Time 0.758 (0.785)	Data 0.001 (0.019)	Loss 2.7385 (2.7953)	Prec@1 34.375 (33.516)	Prec@5 64.844 (64.039)
Epoch: [10][210/14090]	Time 0.768 (0.785)	Data 0.001 (0.018)	Loss 3.0217 (2.7985)	Prec@1 29.688 (33.423)	Prec@5 59.375 (63.988)
Epoch: [10][220/14090]	Time 0.758 (0.784)	Data 0.001 (0.017)	Loss 2.6401 (2.7947)	Prec@1 35.156 (33.438)	Prec@5 67.188 (64.002)
Epoch: [10][230/14090]	Time 0.741 (0.784)	Data 0.001 (0.016)	Loss 2.7181 (2.7942)	Prec@1 35.156 (33.516)	Prec@5 67.969 (63.998)
Epoch: [10][240/14090]	Time 0.889 (0.784)	Data 0.001 (0.016)	Loss 3.1204 (2.7933)	Prec@1 25.781 (33.591)	Prec@5 61.719 (63.956)
Epoch: [10][250/14090]	Time 0.762 (0.783)	Data 0.001 (0.015)	Loss 2.4099 (2.7895)	Prec@1 42.969 (33.712)	Prec@5 73.438 (64.059)
Epoch: [10][260/14090]	Time 0.783 (0.783)	Data 0.001 (0.014)	Loss 2.8072 (2.7953)	Prec@1 32.031 (33.603)	Prec@5 63.281 (63.907)
Epoch: [10][270/14090]	Time 0.734 (0.782)	Data 0.001 (0.014)	Loss 2.6985 (2.7924)	Prec@1 28.125 (33.611)	Prec@5 66.406 (64.011)
Epoch: [10][280/14090]	Time 0.752 (0.782)	Data 0.001 (0.014)	Loss 3.0517 (2.7920)	Prec@1 30.469 (33.688)	Prec@5 59.375 (64.001)
Epoch: [10][290/14090]	Time 0.757 (0.781)	Data 0.001 (0.013)	Loss 2.6585 (2.7896)	Prec@1 35.156 (33.733)	Prec@5 62.500 (64.028)
Epoch: [10][300/14090]	Time 0.760 (0.781)	Data 0.001 (0.013)	Loss 2.8901 (2.7904)	Prec@1 32.812 (33.778)	Prec@5 63.281 (64.024)
Epoch: [10][310/14090]	Time 0.896 (0.781)	Data 0.001 (0.012)	Loss 2.9111 (2.7889)	Prec@1 31.250 (33.807)	Prec@5 64.844 (64.073)
Epoch: [10][320/14090]	Time 0.758 (0.781)	Data 0.001 (0.012)	Loss 2.7001 (2.7875)	Prec@1 39.062 (33.810)	Prec@5 67.188 (64.143)
Epoch: [10][330/14090]	Time 0.736 (0.780)	Data 0.001 (0.012)	Loss 2.9355 (2.7863)	Prec@1 28.906 (33.832)	Prec@5 64.844 (64.162)
Epoch: [10][340/14090]	Time 0.732 (0.781)	Data 0.001 (0.011)	Loss 2.8104 (2.7863)	Prec@1 35.938 (33.825)	Prec@5 64.062 (64.163)
Epoch: [10][350/14090]	Time 0.731 (0.780)	Data 0.001 (0.011)	Loss 2.6999 (2.7860)	Prec@1 29.688 (33.816)	Prec@5 70.312 (64.174)
Epoch: [10][360/14090]	Time 0.757 (0.780)	Data 0.001 (0.011)	Loss 3.0002 (2.7852)	Prec@1 30.469 (33.817)	Prec@5 60.938 (64.205)
Epoch: [10][370/14090]	Time 0.760 (0.780)	Data 0.001 (0.010)	Loss 2.7544 (2.7866)	Prec@1 33.594 (33.743)	Prec@5 64.844 (64.164)
Epoch: [10][380/14090]	Time 1.042 (0.780)	Data 0.001 (0.010)	Loss 2.9350 (2.7865)	Prec@1 27.344 (33.735)	Prec@5 60.938 (64.177)
Epoch: [10][390/14090]	Time 0.741 (0.779)	Data 0.001 (0.010)	Loss 2.9785 (2.7864)	Prec@1 24.219 (33.730)	Prec@5 60.938 (64.172)
Epoch: [10][400/14090]	Time 0.756 (0.779)	Data 0.001 (0.010)	Loss 2.8640 (2.7866)	Prec@1 31.250 (33.748)	Prec@5 64.062 (64.138)
Epoch: [10][410/14090]	Time 0.760 (0.779)	Data 0.001 (0.010)	Loss 2.3707 (2.7869)	Prec@1 39.844 (33.771)	Prec@5 70.312 (64.137)
Epoch: [10][420/14090]	Time 0.752 (0.779)	Data 0.001 (0.009)	Loss 2.9697 (2.7878)	Prec@1 35.156 (33.779)	Prec@5 60.156 (64.088)
Epoch: [10][430/14090]	Time 0.737 (0.779)	Data 0.001 (0.009)	Loss 2.6898 (2.7882)	Prec@1 32.031 (33.768)	Prec@5 62.500 (64.048)
Epoch: [10][440/14090]	Time 0.724 (0.779)	Data 0.001 (0.009)	Loss 2.7187 (2.7883)	Prec@1 32.812 (33.767)	Prec@5 67.188 (64.054)
Epoch: [10][450/14090]	Time 0.898 (0.779)	Data 0.001 (0.009)	Loss 2.5099 (2.7886)	Prec@1 40.625 (33.755)	Prec@5 66.406 (64.056)
Epoch: [10][460/14090]	Time 0.744 (0.778)	Data 0.001 (0.009)	Loss 2.6604 (2.7875)	Prec@1 32.812 (33.770)	Prec@5 66.406 (64.069)
Epoch: [10][470/14090]	Time 0.735 (0.778)	Data 0.001 (0.008)	Loss 3.0331 (2.7880)	Prec@1 27.344 (33.743)	Prec@5 58.594 (64.051)
Epoch: [10][480/14090]	Time 0.739 (0.778)	Data 0.001 (0.008)	Loss 2.6570 (2.7899)	Prec@1 34.375 (33.686)	Prec@5 65.625 (64.024)
Epoch: [10][490/14090]	Time 0.766 (0.778)	Data 0.001 (0.008)	Loss 2.6516 (2.7899)	Prec@1 35.938 (33.667)	Prec@5 67.188 (64.047)
Epoch: [10][500/14090]	Time 0.759 (0.778)	Data 0.001 (0.008)	Loss 2.7232 (2.7897)	Prec@1 36.719 (33.672)	Prec@5 67.969 (64.020)
Epoch: [10][510/14090]	Time 0.753 (0.777)	Data 0.001 (0.008)	Loss 2.7565 (2.7883)	Prec@1 35.938 (33.664)	Prec@5 63.281 (64.032)
Epoch: [10][520/14090]	Time 1.050 (0.778)	Data 0.001 (0.008)	Loss 2.5632 (2.7868)	Prec@1 40.625 (33.699)	Prec@5 70.312 (64.049)
Epoch: [10][530/14090]	Time 0.746 (0.777)	Data 0.001 (0.008)	Loss 2.4288 (2.7864)	Prec@1 40.625 (33.691)	Prec@5 71.875 (64.070)
Epoch: [10][540/14090]	Time 0.731 (0.777)	Data 0.001 (0.007)	Loss 2.7351 (2.7857)	Prec@1 37.500 (33.692)	Prec@5 66.406 (64.104)
Epoch: [10][550/14090]	Time 0.746 (0.778)	Data 0.001 (0.007)	Loss 2.8317 (2.7853)	Prec@1 33.594 (33.721)	Prec@5 66.406 (64.145)
Epoch: [10][560/14090]	Time 0.760 (0.777)	Data 0.001 (0.007)	Loss 2.7679 (2.7858)	Prec@1 35.938 (33.705)	Prec@5 66.406 (64.118)
Epoch: [10][570/14090]	Time 0.724 (0.777)	Data 0.001 (0.007)	Loss 2.7077 (2.7862)	Prec@1 35.156 (33.696)	Prec@5 64.062 (64.112)
Epoch: [10][580/14090]	Time 0.748 (0.777)	Data 0.001 (0.007)	Loss 2.7100 (2.7856)	Prec@1 39.844 (33.724)	Prec@5 64.844 (64.140)
Epoch: [10][590/14090]	Time 0.890 (0.777)	Data 0.001 (0.007)	Loss 2.6148 (2.7858)	Prec@1 41.406 (33.718)	Prec@5 71.094 (64.125)
Epoch: [10][600/14090]	Time 0.725 (0.776)	Data 0.001 (0.007)	Loss 2.8530 (2.7865)	Prec@1 32.812 (33.685)	Prec@5 64.844 (64.105)
Epoch: [10][610/14090]	Time 0.744 (0.776)	Data 0.001 (0.007)	Loss 2.8530 (2.7862)	Prec@1 34.375 (33.709)	Prec@5 66.406 (64.097)
Epoch: [10][620/14090]	Time 0.754 (0.776)	Data 0.001 (0.007)	Loss 2.3098 (2.7846)	Prec@1 39.844 (33.730)	Prec@5 72.656 (64.125)
Epoch: [10][630/14090]	Time 0.759 (0.776)	Data 0.001 (0.007)	Loss 2.6689 (2.7831)	Prec@1 29.688 (33.741)	Prec@5 67.969 (64.157)
Epoch: [10][640/14090]	Time 0.748 (0.775)	Data 0.001 (0.006)	Loss 2.6811 (2.7822)	Prec@1 30.469 (33.746)	Prec@5 66.406 (64.161)
Epoch: [10][650/14090]	Time 0.757 (0.775)	Data 0.001 (0.006)	Loss 2.8266 (2.7824)	Prec@1 29.688 (33.738)	Prec@5 62.500 (64.160)
Epoch: [10][660/14090]	Time 0.833 (0.775)	Data 0.001 (0.006)	Loss 2.9112 (2.7821)	Prec@1 35.156 (33.751)	Prec@5 59.375 (64.154)
Epoch: [10][670/14090]	Time 0.752 (0.775)	Data 0.001 (0.006)	Loss 3.0333 (2.7826)	Prec@1 28.906 (33.736)	Prec@5 58.594 (64.152)
Epoch: [10][680/14090]	Time 0.752 (0.775)	Data 0.001 (0.006)	Loss 2.9624 (2.7842)	Prec@1 30.469 (33.722)	Prec@5 54.688 (64.127)
Epoch: [10][690/14090]	Time 0.781 (0.775)	Data 0.001 (0.006)	Loss 3.0766 (2.7851)	Prec@1 25.781 (33.676)	Prec@5 58.594 (64.110)
Epoch: [10][700/14090]	Time 0.758 (0.775)	Data 0.001 (0.006)	Loss 2.7586 (2.7856)	Prec@1 37.500 (33.687)	Prec@5 61.719 (64.089)
Epoch: [10][710/14090]	Time 0.727 (0.775)	Data 0.001 (0.006)	Loss 2.7952 (2.7856)	Prec@1 32.031 (33.679)	Prec@5 64.844 (64.081)
Epoch: [10][720/14090]	Time 0.733 (0.774)	Data 0.001 (0.006)	Loss 3.0444 (2.7851)	Prec@1 28.906 (33.680)	Prec@5 57.812 (64.100)
Epoch: [10][730/14090]	Time 0.877 (0.774)	Data 0.001 (0.006)	Loss 3.1472 (2.7861)	Prec@1 29.688 (33.660)	Prec@5 54.688 (64.086)
Epoch: [10][740/14090]	Time 0.732 (0.774)	Data 0.001 (0.006)	Loss 3.1645 (2.7859)	Prec@1 27.344 (33.664)	Prec@5 56.250 (64.095)
Epoch: [10][750/14090]	Time 0.751 (0.774)	Data 0.001 (0.006)	Loss 3.0356 (2.7882)	Prec@1 25.000 (33.625)	Prec@5 59.375 (64.033)
Epoch: [10][760/14090]	Time 0.729 (0.774)	Data 0.001 (0.006)	Loss 2.6762 (2.7881)	Prec@1 36.719 (33.624)	Prec@5 67.969 (64.052)
Epoch: [10][770/14090]	Time 0.728 (0.774)	Data 0.001 (0.005)	Loss 2.6073 (2.7883)	Prec@1 31.250 (33.616)	Prec@5 67.969 (64.053)
Epoch: [10][780/14090]	Time 0.751 (0.774)	Data 0.001 (0.005)	Loss 2.6312 (2.7879)	Prec@1 36.719 (33.612)	Prec@5 65.625 (64.066)
Epoch: [10][790/14090]	Time 0.723 (0.774)	Data 0.001 (0.005)	Loss 2.7366 (2.7880)	Prec@1 34.375 (33.605)	Prec@5 67.969 (64.079)
Epoch: [10][800/14090]	Time 0.873 (0.773)	Data 0.001 (0.005)	Loss 2.9233 (2.7876)	Prec@1 30.469 (33.605)	Prec@5 57.812 (64.090)
Epoch: [10][810/14090]	Time 0.763 (0.773)	Data 0.001 (0.005)	Loss 2.5936 (2.7874)	Prec@1 35.938 (33.603)	Prec@5 69.531 (64.074)
Epoch: [10][820/14090]	Time 0.758 (0.773)	Data 0.001 (0.005)	Loss 2.7719 (2.7889)	Prec@1 34.375 (33.577)	Prec@5 65.625 (64.054)
Epoch: [10][830/14090]	Time 0.756 (0.773)	Data 0.001 (0.005)	Loss 2.5136 (2.7876)	Prec@1 35.938 (33.593)	Prec@5 73.438 (64.088)
Epoch: [10][840/14090]	Time 0.752 (0.773)	Data 0.001 (0.005)	Loss 2.7149 (2.7868)	Prec@1 34.375 (33.598)	Prec@5 65.625 (64.105)
Epoch: [10][850/14090]	Time 0.756 (0.773)	Data 0.001 (0.005)	Loss 2.8597 (2.7869)	Prec@1 32.812 (33.584)	Prec@5 62.500 (64.094)
Epoch: [10][860/14090]	Time 0.749 (0.773)	Data 0.001 (0.005)	Loss 2.6269 (2.7862)	Prec@1 32.031 (33.586)	Prec@5 68.750 (64.121)
Epoch: [10][870/14090]	Time 0.855 (0.773)	Data 0.001 (0.005)	Loss 3.1273 (2.7866)	Prec@1 26.562 (33.588)	Prec@5 54.688 (64.113)
Epoch: [10][880/14090]	Time 0.733 (0.772)	Data 0.001 (0.005)	Loss 3.0273 (2.7874)	Prec@1 31.250 (33.590)	Prec@5 58.594 (64.099)
Epoch: [10][890/14090]	Time 0.753 (0.772)	Data 0.001 (0.005)	Loss 2.9474 (2.7878)	Prec@1 32.812 (33.587)	Prec@5 61.719 (64.083)
Epoch: [10][900/14090]	Time 0.740 (0.772)	Data 0.001 (0.005)	Loss 2.8142 (2.7876)	Prec@1 32.812 (33.576)	Prec@5 57.031 (64.074)
Epoch: [10][910/14090]	Time 0.747 (0.772)	Data 0.001 (0.005)	Loss 2.8446 (2.7868)	Prec@1 33.594 (33.612)	Prec@5 67.188 (64.099)
Epoch: [10][920/14090]	Time 0.734 (0.772)	Data 0.001 (0.005)	Loss 2.7241 (2.7867)	Prec@1 33.594 (33.613)	Prec@5 67.188 (64.098)
Epoch: [10][930/14090]	Time 0.752 (0.772)	Data 0.001 (0.005)	Loss 2.9019 (2.7864)	Prec@1 33.594 (33.625)	Prec@5 60.156 (64.101)
Epoch: [10][940/14090]	Time 0.813 (0.772)	Data 0.001 (0.005)	Loss 2.4244 (2.7863)	Prec@1 45.312 (33.648)	Prec@5 71.875 (64.107)
Epoch: [10][950/14090]	Time 0.733 (0.772)	Data 0.001 (0.005)	Loss 2.7745 (2.7869)	Prec@1 34.375 (33.636)	Prec@5 68.750 (64.093)
Epoch: [10][960/14090]	Time 0.740 (0.771)	Data 0.001 (0.005)	Loss 3.1442 (2.7880)	Prec@1 34.375 (33.627)	Prec@5 60.938 (64.065)
Epoch: [10][970/14090]	Time 0.729 (0.771)	Data 0.001 (0.005)	Loss 2.5347 (2.7882)	Prec@1 40.625 (33.637)	Prec@5 67.188 (64.054)
Epoch: [10][980/14090]	Time 0.752 (0.771)	Data 0.001 (0.004)	Loss 2.8384 (2.7880)	Prec@1 31.250 (33.637)	Prec@5 60.938 (64.057)
Epoch: [10][990/14090]	Time 0.751 (0.771)	Data 0.001 (0.004)	Loss 2.8202 (2.7877)	Prec@1 37.500 (33.647)	Prec@5 60.938 (64.060)
Epoch: [10][1000/14090]	Time 0.729 (0.771)	Data 0.001 (0.004)	Loss 2.5251 (2.7865)	Prec@1 36.719 (33.662)	Prec@5 69.531 (64.085)
Epoch: [10][1010/14090]	Time 0.911 (0.771)	Data 0.001 (0.004)	Loss 2.6461 (2.7868)	Prec@1 34.375 (33.687)	Prec@5 66.406 (64.077)
Epoch: [10][1020/14090]	Time 0.735 (0.771)	Data 0.001 (0.004)	Loss 2.8684 (2.7868)	Prec@1 37.500 (33.677)	Prec@5 60.938 (64.069)
Epoch: [10][1030/14090]	Time 0.733 (0.771)	Data 0.001 (0.004)	Loss 2.8022 (2.7863)	Prec@1 29.688 (33.670)	Prec@5 65.625 (64.072)
Epoch: [10][1040/14090]	Time 0.749 (0.771)	Data 0.001 (0.004)	Loss 2.9039 (2.7870)	Prec@1 32.031 (33.650)	Prec@5 61.719 (64.055)
Epoch: [10][1050/14090]	Time 0.766 (0.771)	Data 0.002 (0.004)	Loss 2.9192 (2.7863)	Prec@1 30.469 (33.669)	Prec@5 62.500 (64.086)
Epoch: [10][1060/14090]	Time 0.748 (0.771)	Data 0.001 (0.004)	Loss 2.9357 (2.7865)	Prec@1 31.250 (33.670)	Prec@5 61.719 (64.076)
Epoch: [10][1070/14090]	Time 0.769 (0.771)	Data 0.001 (0.004)	Loss 2.6931 (2.7863)	Prec@1 35.156 (33.670)	Prec@5 61.719 (64.067)
Epoch: [10][1080/14090]	Time 0.838 (0.771)	Data 0.001 (0.004)	Loss 2.6496 (2.7870)	Prec@1 35.938 (33.659)	Prec@5 63.281 (64.058)
Epoch: [10][1090/14090]	Time 0.755 (0.770)	Data 0.001 (0.004)	Loss 3.0468 (2.7876)	Prec@1 28.906 (33.651)	Prec@5 57.812 (64.036)
Epoch: [10][1100/14090]	Time 0.733 (0.770)	Data 0.001 (0.004)	Loss 2.5980 (2.7875)	Prec@1 37.500 (33.668)	Prec@5 70.312 (64.042)
Epoch: [10][1110/14090]	Time 0.727 (0.770)	Data 0.001 (0.004)	Loss 2.5737 (2.7873)	Prec@1 35.156 (33.668)	Prec@5 69.531 (64.039)
Epoch: [10][1120/14090]	Time 0.729 (0.770)	Data 0.001 (0.004)	Loss 2.6843 (2.7876)	Prec@1 39.062 (33.679)	Prec@5 65.625 (64.033)
Epoch: [10][1130/14090]	Time 0.757 (0.770)	Data 0.001 (0.004)	Loss 2.5455 (2.7874)	Prec@1 36.719 (33.680)	Prec@5 70.312 (64.039)
Epoch: [10][1140/14090]	Time 0.758 (0.770)	Data 0.001 (0.004)	Loss 2.9646 (2.7872)	Prec@1 28.906 (33.677)	Prec@5 62.500 (64.048)
Epoch: [10][1150/14090]	Time 0.874 (0.770)	Data 0.001 (0.004)	Loss 2.7499 (2.7873)	Prec@1 35.938 (33.675)	Prec@5 65.625 (64.056)
Epoch: [10][1160/14090]	Time 0.728 (0.770)	Data 0.001 (0.004)	Loss 2.7300 (2.7877)	Prec@1 35.938 (33.673)	Prec@5 64.844 (64.052)
Epoch: [10][1170/14090]	Time 0.732 (0.770)	Data 0.001 (0.004)	Loss 2.7476 (2.7878)	Prec@1 32.812 (33.682)	Prec@5 61.719 (64.046)
Epoch: [10][1180/14090]	Time 0.761 (0.770)	Data 0.001 (0.004)	Loss 2.7696 (2.7872)	Prec@1 33.594 (33.680)	Prec@5 64.844 (64.049)
Epoch: [10][1190/14090]	Time 0.760 (0.770)	Data 0.001 (0.004)	Loss 2.7148 (2.7869)	Prec@1 32.812 (33.680)	Prec@5 67.188 (64.069)
Epoch: [10][1200/14090]	Time 0.756 (0.770)	Data 0.001 (0.004)	Loss 2.7752 (2.7872)	Prec@1 32.031 (33.673)	Prec@5 66.406 (64.075)
Epoch: [10][1210/14090]	Time 0.731 (0.770)	Data 0.001 (0.004)	Loss 3.1169 (2.7877)	Prec@1 30.469 (33.678)	Prec@5 56.250 (64.064)
Epoch: [10][1220/14090]	Time 0.850 (0.770)	Data 0.001 (0.004)	Loss 2.7769 (2.7876)	Prec@1 38.281 (33.693)	Prec@5 65.625 (64.073)
Epoch: [10][1230/14090]	Time 0.742 (0.769)	Data 0.001 (0.004)	Loss 2.4819 (2.7879)	Prec@1 39.062 (33.690)	Prec@5 69.531 (64.064)
Epoch: [10][1240/14090]	Time 0.728 (0.769)	Data 0.001 (0.004)	Loss 2.6735 (2.7876)	Prec@1 42.969 (33.692)	Prec@5 67.188 (64.081)
Epoch: [10][1250/14090]	Time 0.728 (0.769)	Data 0.001 (0.004)	Loss 2.9357 (2.7873)	Prec@1 28.125 (33.687)	Prec@5 62.500 (64.077)
Epoch: [10][1260/14090]	Time 0.749 (0.769)	Data 0.001 (0.004)	Loss 2.8266 (2.7874)	Prec@1 29.688 (33.682)	Prec@5 63.281 (64.076)
Epoch: [10][1270/14090]	Time 0.747 (0.769)	Data 0.001 (0.004)	Loss 2.7480 (2.7868)	Prec@1 35.156 (33.698)	Prec@5 63.281 (64.094)
Epoch: [10][1280/14090]	Time 0.738 (0.769)	Data 0.001 (0.004)	Loss 2.6318 (2.7870)	Prec@1 33.594 (33.690)	Prec@5 71.094 (64.089)
Epoch: [10][1290/14090]	Time 0.903 (0.769)	Data 0.001 (0.004)	Loss 2.9277 (2.7875)	Prec@1 32.812 (33.696)	Prec@5 60.938 (64.085)
Epoch: [10][1300/14090]	Time 0.739 (0.769)	Data 0.001 (0.004)	Loss 2.9259 (2.7880)	Prec@1 35.938 (33.696)	Prec@5 62.500 (64.090)
Epoch: [10][1310/14090]	Time 0.756 (0.769)	Data 0.001 (0.004)	Loss 2.6282 (2.7881)	Prec@1 36.719 (33.687)	Prec@5 64.844 (64.086)
Epoch: [10][1320/14090]	Time 0.723 (0.769)	Data 0.001 (0.004)	Loss 2.8031 (2.7886)	Prec@1 35.938 (33.679)	Prec@5 63.281 (64.075)
Epoch: [10][1330/14090]	Time 0.728 (0.769)	Data 0.001 (0.004)	Loss 3.0004 (2.7885)	Prec@1 28.906 (33.672)	Prec@5 53.906 (64.057)
Epoch: [10][1340/14090]	Time 0.752 (0.769)	Data 0.001 (0.004)	Loss 2.7074 (2.7891)	Prec@1 37.500 (33.663)	Prec@5 68.750 (64.050)
Epoch: [10][1350/14090]	Time 0.756 (0.769)	Data 0.001 (0.003)	Loss 2.5438 (2.7896)	Prec@1 39.062 (33.649)	Prec@5 69.531 (64.038)
Epoch: [10][1360/14090]	Time 0.835 (0.769)	Data 0.001 (0.003)	Loss 2.7326 (2.7899)	Prec@1 33.594 (33.632)	Prec@5 64.062 (64.042)
Epoch: [10][1370/14090]	Time 0.748 (0.769)	Data 0.001 (0.003)	Loss 3.0300 (2.7902)	Prec@1 30.469 (33.626)	Prec@5 57.031 (64.028)
Epoch: [10][1380/14090]	Time 0.748 (0.769)	Data 0.001 (0.003)	Loss 2.8993 (2.7895)	Prec@1 32.031 (33.640)	Prec@5 63.281 (64.046)
Epoch: [10][1390/14090]	Time 0.775 (0.769)	Data 0.001 (0.003)	Loss 2.6039 (2.7894)	Prec@1 40.625 (33.643)	Prec@5 62.500 (64.054)
Epoch: [10][1400/14090]	Time 0.745 (0.769)	Data 0.001 (0.003)	Loss 2.4756 (2.7890)	Prec@1 35.938 (33.654)	Prec@5 67.969 (64.058)
Epoch: [10][1410/14090]	Time 0.759 (0.769)	Data 0.001 (0.003)	Loss 2.6930 (2.7891)	Prec@1 39.062 (33.647)	Prec@5 64.844 (64.055)
Epoch: [10][1420/14090]	Time 0.759 (0.769)	Data 0.001 (0.003)	Loss 2.5539 (2.7890)	Prec@1 35.156 (33.649)	Prec@5 66.406 (64.049)
Epoch: [10][1430/14090]	Time 0.844 (0.769)	Data 0.001 (0.003)	Loss 2.7056 (2.7890)	Prec@1 35.938 (33.649)	Prec@5 63.281 (64.058)
Epoch: [10][1440/14090]	Time 0.737 (0.769)	Data 0.001 (0.003)	Loss 2.7920 (2.7895)	Prec@1 30.469 (33.639)	Prec@5 67.969 (64.048)
Epoch: [10][1450/14090]	Time 0.734 (0.769)	Data 0.001 (0.003)	Loss 2.4884 (2.7891)	Prec@1 41.406 (33.639)	Prec@5 68.750 (64.050)
Epoch: [10][1460/14090]	Time 0.752 (0.769)	Data 0.001 (0.003)	Loss 2.6993 (2.7893)	Prec@1 36.719 (33.635)	Prec@5 67.969 (64.049)
Epoch: [10][1470/14090]	Time 0.749 (0.768)	Data 0.001 (0.003)	Loss 2.8004 (2.7891)	Prec@1 38.281 (33.635)	Prec@5 65.625 (64.050)
Epoch: [10][1480/14090]	Time 0.751 (0.769)	Data 0.001 (0.003)	Loss 2.6618 (2.7884)	Prec@1 32.031 (33.639)	Prec@5 72.656 (64.068)
Epoch: [10][1490/14090]	Time 0.737 (0.768)	Data 0.001 (0.003)	Loss 2.6664 (2.7881)	Prec@1 39.844 (33.648)	Prec@5 69.531 (64.084)
Epoch: [10][1500/14090]	Time 0.836 (0.768)	Data 0.001 (0.003)	Loss 2.4425 (2.7873)	Prec@1 37.500 (33.659)	Prec@5 64.062 (64.087)
Epoch: [10][1510/14090]	Time 0.771 (0.768)	Data 0.001 (0.003)	Loss 2.4683 (2.7875)	Prec@1 38.281 (33.656)	Prec@5 69.531 (64.081)
Epoch: [10][1520/14090]	Time 0.739 (0.768)	Data 0.001 (0.003)	Loss 2.6563 (2.7878)	Prec@1 33.594 (33.649)	Prec@5 64.844 (64.071)
Epoch: [10][1530/14090]	Time 0.751 (0.768)	Data 0.001 (0.003)	Loss 2.9211 (2.7881)	Prec@1 32.031 (33.647)	Prec@5 61.719 (64.068)
Epoch: [10][1540/14090]	Time 0.727 (0.768)	Data 0.001 (0.003)	Loss 2.8420 (2.7881)	Prec@1 39.844 (33.655)	Prec@5 69.531 (64.078)
Epoch: [10][1550/14090]	Time 0.725 (0.768)	Data 0.001 (0.003)	Loss 2.7972 (2.7878)	Prec@1 36.719 (33.666)	Prec@5 65.625 (64.088)
Epoch: [10][1560/14090]	Time 0.761 (0.768)	Data 0.001 (0.003)	Loss 2.7091 (2.7879)	Prec@1 35.156 (33.655)	Prec@5 64.844 (64.080)
Epoch: [10][1570/14090]	Time 0.863 (0.768)	Data 0.001 (0.003)	Loss 2.9256 (2.7885)	Prec@1 26.562 (33.652)	Prec@5 66.406 (64.068)
Epoch: [10][1580/14090]	Time 0.723 (0.768)	Data 0.001 (0.003)	Loss 2.7238 (2.7893)	Prec@1 29.688 (33.635)	Prec@5 66.406 (64.052)
Epoch: [10][1590/14090]	Time 0.738 (0.768)	Data 0.001 (0.003)	Loss 3.0380 (2.7900)	Prec@1 30.469 (33.616)	Prec@5 58.594 (64.043)
Epoch: [10][1600/14090]	Time 0.747 (0.768)	Data 0.001 (0.003)	Loss 3.0900 (2.7901)	Prec@1 25.000 (33.618)	Prec@5 59.375 (64.047)
Epoch: [10][1610/14090]	Time 0.773 (0.768)	Data 0.001 (0.003)	Loss 2.6920 (2.7900)	Prec@1 35.156 (33.617)	Prec@5 66.406 (64.056)
Epoch: [10][1620/14090]	Time 0.731 (0.768)	Data 0.001 (0.003)	Loss 2.4875 (2.7894)	Prec@1 35.156 (33.631)	Prec@5 71.875 (64.070)
Epoch: [10][1630/14090]	Time 0.762 (0.768)	Data 0.001 (0.003)	Loss 2.8056 (2.7895)	Prec@1 32.031 (33.621)	Prec@5 60.156 (64.074)
Epoch: [10][1640/14090]	Time 0.851 (0.768)	Data 0.001 (0.003)	Loss 2.8141 (2.7886)	Prec@1 30.469 (33.639)	Prec@5 63.281 (64.091)
Epoch: [10][1650/14090]	Time 0.759 (0.768)	Data 0.001 (0.003)	Loss 2.8619 (2.7885)	Prec@1 32.031 (33.641)	Prec@5 64.062 (64.097)
Epoch: [10][1660/14090]	Time 0.721 (0.768)	Data 0.001 (0.003)	Loss 2.7025 (2.7883)	Prec@1 31.250 (33.645)	Prec@5 67.188 (64.101)
Epoch: [10][1670/14090]	Time 0.745 (0.768)	Data 0.001 (0.003)	Loss 2.4422 (2.7886)	Prec@1 35.938 (33.635)	Prec@5 70.312 (64.094)
Epoch: [10][1680/14090]	Time 0.723 (0.768)	Data 0.001 (0.003)	Loss 2.5290 (2.7882)	Prec@1 40.625 (33.640)	Prec@5 70.312 (64.098)
Epoch: [10][1690/14090]	Time 0.755 (0.768)	Data 0.001 (0.003)	Loss 2.4902 (2.7882)	Prec@1 39.062 (33.642)	Prec@5 74.219 (64.106)
Epoch: [10][1700/14090]	Time 0.751 (0.768)	Data 0.001 (0.003)	Loss 2.8263 (2.7881)	Prec@1 35.156 (33.646)	Prec@5 61.719 (64.113)
Epoch: [10][1710/14090]	Time 0.871 (0.768)	Data 0.001 (0.003)	Loss 2.4874 (2.7880)	Prec@1 41.406 (33.646)	Prec@5 73.438 (64.115)
Epoch: [10][1720/14090]	Time 0.748 (0.768)	Data 0.001 (0.003)	Loss 2.7954 (2.7876)	Prec@1 32.812 (33.661)	Prec@5 61.719 (64.125)
Epoch: [10][1730/14090]	Time 0.754 (0.768)	Data 0.001 (0.003)	Loss 2.9631 (2.7870)	Prec@1 35.938 (33.674)	Prec@5 57.031 (64.140)
Epoch: [10][1740/14090]	Time 0.735 (0.767)	Data 0.001 (0.003)	Loss 2.7175 (2.7871)	Prec@1 37.500 (33.672)	Prec@5 61.719 (64.140)
Epoch: [10][1750/14090]	Time 0.755 (0.767)	Data 0.001 (0.003)	Loss 2.7026 (2.7869)	Prec@1 36.719 (33.689)	Prec@5 65.625 (64.141)
Epoch: [10][1760/14090]	Time 0.746 (0.767)	Data 0.001 (0.003)	Loss 3.0141 (2.7873)	Prec@1 31.250 (33.683)	Prec@5 60.156 (64.135)
Epoch: [10][1770/14090]	Time 0.723 (0.767)	Data 0.001 (0.003)	Loss 3.0409 (2.7873)	Prec@1 33.594 (33.685)	Prec@5 57.031 (64.129)
Epoch: [10][1780/14090]	Time 0.812 (0.767)	Data 0.001 (0.003)	Loss 2.8586 (2.7874)	Prec@1 32.812 (33.678)	Prec@5 61.719 (64.131)
Epoch: [10][1790/14090]	Time 0.770 (0.767)	Data 0.001 (0.003)	Loss 2.8157 (2.7875)	Prec@1 32.031 (33.679)	Prec@5 60.938 (64.127)
Epoch: [10][1800/14090]	Time 0.753 (0.767)	Data 0.001 (0.003)	Loss 2.9509 (2.7875)	Prec@1 32.812 (33.679)	Prec@5 58.594 (64.118)
Epoch: [10][1810/14090]	Time 0.776 (0.767)	Data 0.001 (0.003)	Loss 2.6277 (2.7874)	Prec@1 34.375 (33.683)	Prec@5 65.625 (64.117)
Epoch: [10][1820/14090]	Time 0.732 (0.767)	Data 0.001 (0.003)	Loss 2.6001 (2.7875)	Prec@1 43.750 (33.676)	Prec@5 63.281 (64.106)
Epoch: [10][1830/14090]	Time 0.755 (0.767)	Data 0.001 (0.003)	Loss 2.7595 (2.7873)	Prec@1 30.469 (33.680)	Prec@5 67.188 (64.116)
Epoch: [10][1840/14090]	Time 0.769 (0.767)	Data 0.001 (0.003)	Loss 2.5714 (2.7869)	Prec@1 42.188 (33.693)	Prec@5 70.312 (64.124)
Epoch: [10][1850/14090]	Time 0.902 (0.767)	Data 0.001 (0.003)	Loss 2.8634 (2.7873)	Prec@1 32.812 (33.675)	Prec@5 64.844 (64.119)
Epoch: [10][1860/14090]	Time 0.752 (0.767)	Data 0.001 (0.003)	Loss 3.1882 (2.7875)	Prec@1 25.000 (33.676)	Prec@5 56.250 (64.115)
Epoch: [10][1870/14090]	Time 0.732 (0.767)	Data 0.001 (0.003)	Loss 2.7502 (2.7871)	Prec@1 35.938 (33.688)	Prec@5 65.625 (64.119)
Epoch: [10][1880/14090]	Time 0.729 (0.767)	Data 0.001 (0.003)	Loss 2.7267 (2.7872)	Prec@1 38.281 (33.695)	Prec@5 62.500 (64.112)
Epoch: [10][1890/14090]	Time 0.722 (0.767)	Data 0.001 (0.003)	Loss 2.6313 (2.7869)	Prec@1 35.156 (33.697)	Prec@5 67.969 (64.115)
Epoch: [10][1900/14090]	Time 0.759 (0.767)	Data 0.001 (0.003)	Loss 2.9689 (2.7866)	Prec@1 29.688 (33.703)	Prec@5 60.156 (64.119)
Epoch: [10][1910/14090]	Time 0.766 (0.767)	Data 0.001 (0.003)	Loss 2.9481 (2.7872)	Prec@1 35.938 (33.692)	Prec@5 59.375 (64.103)
Epoch: [10][1920/14090]	Time 0.853 (0.767)	Data 0.001 (0.003)	Loss 2.3637 (2.7870)	Prec@1 39.062 (33.690)	Prec@5 72.656 (64.113)
Epoch: [10][1930/14090]	Time 0.743 (0.767)	Data 0.001 (0.003)	Loss 3.0001 (2.7871)	Prec@1 24.219 (33.688)	Prec@5 59.375 (64.111)
Epoch: [10][1940/14090]	Time 0.735 (0.767)	Data 0.001 (0.003)	Loss 2.8018 (2.7870)	Prec@1 28.906 (33.691)	Prec@5 65.625 (64.112)
Epoch: [10][1950/14090]	Time 0.729 (0.767)	Data 0.001 (0.003)	Loss 2.6282 (2.7868)	Prec@1 33.594 (33.693)	Prec@5 69.531 (64.118)
Epoch: [10][1960/14090]	Time 0.733 (0.767)	Data 0.001 (0.003)	Loss 2.6120 (2.7867)	Prec@1 37.500 (33.699)	Prec@5 67.188 (64.120)
Epoch: [10][1970/14090]	Time 0.723 (0.767)	Data 0.001 (0.003)	Loss 2.7085 (2.7867)	Prec@1 41.406 (33.702)	Prec@5 64.844 (64.116)
Epoch: [10][1980/14090]	Time 0.744 (0.767)	Data 0.001 (0.003)	Loss 3.1998 (2.7865)	Prec@1 23.438 (33.706)	Prec@5 53.125 (64.127)
Epoch: [10][1990/14090]	Time 0.852 (0.767)	Data 0.001 (0.003)	Loss 2.6277 (2.7863)	Prec@1 40.625 (33.707)	Prec@5 65.625 (64.126)
Epoch: [10][2000/14090]	Time 0.759 (0.767)	Data 0.001 (0.003)	Loss 2.9783 (2.7862)	Prec@1 28.125 (33.708)	Prec@5 58.594 (64.119)
Epoch: [10][2010/14090]	Time 0.743 (0.767)	Data 0.001 (0.003)	Loss 2.7130 (2.7861)	Prec@1 34.375 (33.701)	Prec@5 64.062 (64.121)
Epoch: [10][2020/14090]	Time 0.747 (0.767)	Data 0.001 (0.003)	Loss 2.6902 (2.7859)	Prec@1 35.938 (33.708)	Prec@5 63.281 (64.122)
Epoch: [10][2030/14090]	Time 0.733 (0.767)	Data 0.001 (0.003)	Loss 3.0728 (2.7859)	Prec@1 28.125 (33.715)	Prec@5 57.812 (64.113)
Epoch: [10][2040/14090]	Time 0.754 (0.767)	Data 0.001 (0.003)	Loss 3.2036 (2.7855)	Prec@1 27.344 (33.716)	Prec@5 55.469 (64.124)
Epoch: [10][2050/14090]	Time 0.752 (0.767)	Data 0.001 (0.003)	Loss 2.9807 (2.7854)	Prec@1 25.781 (33.721)	Prec@5 62.500 (64.130)
Epoch: [10][2060/14090]	Time 0.862 (0.767)	Data 0.001 (0.003)	Loss 2.7365 (2.7857)	Prec@1 40.625 (33.721)	Prec@5 67.969 (64.132)
Epoch: [10][2070/14090]	Time 0.755 (0.767)	Data 0.001 (0.003)	Loss 2.6962 (2.7858)	Prec@1 39.844 (33.719)	Prec@5 66.406 (64.129)
Epoch: [10][2080/14090]	Time 0.752 (0.767)	Data 0.001 (0.003)	Loss 2.9505 (2.7862)	Prec@1 32.812 (33.717)	Prec@5 64.844 (64.127)
Epoch: [10][2090/14090]	Time 0.780 (0.767)	Data 0.001 (0.003)	Loss 2.7213 (2.7860)	Prec@1 31.250 (33.712)	Prec@5 63.281 (64.130)
Epoch: [10][2100/14090]	Time 0.740 (0.767)	Data 0.001 (0.003)	Loss 3.1299 (2.7862)	Prec@1 34.375 (33.707)	Prec@5 56.250 (64.123)
Epoch: [10][2110/14090]	Time 0.770 (0.767)	Data 0.001 (0.003)	Loss 3.1983 (2.7861)	Prec@1 23.438 (33.708)	Prec@5 59.375 (64.119)
Epoch: [10][2120/14090]	Time 0.729 (0.767)	Data 0.001 (0.003)	Loss 3.0036 (2.7859)	Prec@1 31.250 (33.707)	Prec@5 57.812 (64.125)
Epoch: [10][2130/14090]	Time 0.945 (0.767)	Data 0.001 (0.003)	Loss 2.8560 (2.7861)	Prec@1 33.594 (33.705)	Prec@5 64.844 (64.125)
Epoch: [10][2140/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 2.4935 (2.7858)	Prec@1 32.812 (33.711)	Prec@5 70.312 (64.123)
Epoch: [10][2150/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 3.0098 (2.7862)	Prec@1 25.000 (33.699)	Prec@5 55.469 (64.113)
Epoch: [10][2160/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 2.8635 (2.7865)	Prec@1 29.688 (33.693)	Prec@5 69.531 (64.116)
Epoch: [10][2170/14090]	Time 0.727 (0.767)	Data 0.001 (0.002)	Loss 2.5064 (2.7863)	Prec@1 39.062 (33.699)	Prec@5 70.312 (64.127)
Epoch: [10][2180/14090]	Time 0.722 (0.767)	Data 0.001 (0.002)	Loss 2.9792 (2.7864)	Prec@1 33.594 (33.700)	Prec@5 59.375 (64.124)
Epoch: [10][2190/14090]	Time 0.760 (0.767)	Data 0.001 (0.002)	Loss 2.8498 (2.7865)	Prec@1 35.156 (33.706)	Prec@5 62.500 (64.126)
Epoch: [10][2200/14090]	Time 0.861 (0.767)	Data 0.001 (0.002)	Loss 2.8199 (2.7870)	Prec@1 32.812 (33.693)	Prec@5 64.844 (64.118)
Epoch: [10][2210/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 2.6586 (2.7866)	Prec@1 37.500 (33.698)	Prec@5 63.281 (64.125)
Epoch: [10][2220/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.7395 (2.7865)	Prec@1 32.031 (33.700)	Prec@5 67.969 (64.128)
Epoch: [10][2230/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 2.9273 (2.7864)	Prec@1 26.562 (33.704)	Prec@5 64.844 (64.131)
Epoch: [10][2240/14090]	Time 0.731 (0.767)	Data 0.001 (0.002)	Loss 2.5388 (2.7865)	Prec@1 38.281 (33.697)	Prec@5 71.875 (64.133)
Epoch: [10][2250/14090]	Time 0.766 (0.767)	Data 0.001 (0.002)	Loss 2.8341 (2.7865)	Prec@1 32.031 (33.694)	Prec@5 59.375 (64.133)
Epoch: [10][2260/14090]	Time 0.724 (0.767)	Data 0.001 (0.002)	Loss 2.6021 (2.7868)	Prec@1 34.375 (33.692)	Prec@5 67.188 (64.123)
Epoch: [10][2270/14090]	Time 0.842 (0.767)	Data 0.001 (0.002)	Loss 2.7461 (2.7867)	Prec@1 32.812 (33.695)	Prec@5 63.281 (64.125)
Epoch: [10][2280/14090]	Time 0.724 (0.767)	Data 0.001 (0.002)	Loss 2.6057 (2.7868)	Prec@1 38.281 (33.690)	Prec@5 64.062 (64.121)
Epoch: [10][2290/14090]	Time 0.779 (0.767)	Data 0.002 (0.002)	Loss 2.7035 (2.7865)	Prec@1 32.812 (33.692)	Prec@5 64.062 (64.125)
Epoch: [10][2300/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 2.9136 (2.7863)	Prec@1 26.562 (33.680)	Prec@5 62.500 (64.121)
Epoch: [10][2310/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.6615 (2.7862)	Prec@1 37.500 (33.680)	Prec@5 71.875 (64.126)
Epoch: [10][2320/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 3.0905 (2.7865)	Prec@1 36.719 (33.681)	Prec@5 58.594 (64.109)
Epoch: [10][2330/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 2.7178 (2.7862)	Prec@1 32.031 (33.689)	Prec@5 63.281 (64.116)
Epoch: [10][2340/14090]	Time 0.888 (0.766)	Data 0.001 (0.002)	Loss 2.5497 (2.7863)	Prec@1 41.406 (33.690)	Prec@5 69.531 (64.115)
Epoch: [10][2350/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 3.1442 (2.7864)	Prec@1 26.562 (33.689)	Prec@5 53.906 (64.106)
Epoch: [10][2360/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 2.8334 (2.7867)	Prec@1 32.031 (33.681)	Prec@5 61.719 (64.101)
Epoch: [10][2370/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.8070 (2.7867)	Prec@1 29.688 (33.672)	Prec@5 63.281 (64.099)
Epoch: [10][2380/14090]	Time 0.766 (0.766)	Data 0.001 (0.002)	Loss 2.5180 (2.7866)	Prec@1 39.062 (33.670)	Prec@5 66.406 (64.097)
Epoch: [10][2390/14090]	Time 0.724 (0.766)	Data 0.001 (0.002)	Loss 2.6535 (2.7865)	Prec@1 37.500 (33.679)	Prec@5 63.281 (64.105)
Epoch: [10][2400/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 3.0485 (2.7864)	Prec@1 32.812 (33.678)	Prec@5 63.281 (64.111)
Epoch: [10][2410/14090]	Time 0.841 (0.766)	Data 0.001 (0.002)	Loss 2.6199 (2.7863)	Prec@1 37.500 (33.683)	Prec@5 67.969 (64.113)
Epoch: [10][2420/14090]	Time 0.761 (0.766)	Data 0.001 (0.002)	Loss 2.5743 (2.7862)	Prec@1 36.719 (33.693)	Prec@5 68.750 (64.117)
Epoch: [10][2430/14090]	Time 0.723 (0.766)	Data 0.001 (0.002)	Loss 2.9757 (2.7865)	Prec@1 33.594 (33.692)	Prec@5 60.156 (64.112)
Epoch: [10][2440/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.9437 (2.7869)	Prec@1 26.562 (33.685)	Prec@5 57.812 (64.110)
Epoch: [10][2450/14090]	Time 0.769 (0.766)	Data 0.001 (0.002)	Loss 2.5188 (2.7869)	Prec@1 45.312 (33.688)	Prec@5 67.969 (64.110)
Epoch: [10][2460/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 2.5988 (2.7869)	Prec@1 32.812 (33.678)	Prec@5 67.188 (64.105)
Epoch: [10][2470/14090]	Time 0.727 (0.766)	Data 0.001 (0.002)	Loss 2.9084 (2.7867)	Prec@1 36.719 (33.674)	Prec@5 57.812 (64.109)
Epoch: [10][2480/14090]	Time 0.874 (0.766)	Data 0.001 (0.002)	Loss 2.7343 (2.7866)	Prec@1 35.938 (33.674)	Prec@5 64.844 (64.110)
Epoch: [10][2490/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.8195 (2.7863)	Prec@1 28.906 (33.678)	Prec@5 66.406 (64.116)
Epoch: [10][2500/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 2.6082 (2.7866)	Prec@1 38.281 (33.674)	Prec@5 65.625 (64.112)
Epoch: [10][2510/14090]	Time 0.765 (0.766)	Data 0.001 (0.002)	Loss 2.8125 (2.7867)	Prec@1 38.281 (33.675)	Prec@5 62.500 (64.106)
Epoch: [10][2520/14090]	Time 0.725 (0.766)	Data 0.001 (0.002)	Loss 2.9259 (2.7867)	Prec@1 32.031 (33.673)	Prec@5 60.938 (64.105)
Epoch: [10][2530/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 2.6145 (2.7866)	Prec@1 39.062 (33.679)	Prec@5 64.844 (64.100)
Epoch: [10][2540/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 2.9039 (2.7864)	Prec@1 35.938 (33.683)	Prec@5 61.719 (64.109)
Epoch: [10][2550/14090]	Time 0.874 (0.766)	Data 0.001 (0.002)	Loss 2.7598 (2.7863)	Prec@1 37.500 (33.691)	Prec@5 67.969 (64.108)
Epoch: [10][2560/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.6754 (2.7864)	Prec@1 31.250 (33.684)	Prec@5 67.969 (64.102)
Epoch: [10][2570/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 2.7959 (2.7863)	Prec@1 34.375 (33.682)	Prec@5 68.750 (64.104)
Epoch: [10][2580/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.8793 (2.7860)	Prec@1 32.031 (33.682)	Prec@5 61.719 (64.109)
Epoch: [10][2590/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.6489 (2.7857)	Prec@1 35.156 (33.683)	Prec@5 67.188 (64.122)
Epoch: [10][2600/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 2.6987 (2.7856)	Prec@1 35.938 (33.682)	Prec@5 60.938 (64.128)
Epoch: [10][2610/14090]	Time 0.730 (0.766)	Data 0.002 (0.002)	Loss 2.7377 (2.7855)	Prec@1 36.719 (33.684)	Prec@5 61.719 (64.135)
Epoch: [10][2620/14090]	Time 0.854 (0.766)	Data 0.001 (0.002)	Loss 2.7934 (2.7854)	Prec@1 33.594 (33.687)	Prec@5 64.844 (64.135)
Epoch: [10][2630/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 2.6998 (2.7857)	Prec@1 39.844 (33.688)	Prec@5 63.281 (64.128)
Epoch: [10][2640/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 2.7189 (2.7860)	Prec@1 32.031 (33.688)	Prec@5 67.188 (64.128)
Epoch: [10][2650/14090]	Time 0.726 (0.766)	Data 0.001 (0.002)	Loss 3.1084 (2.7862)	Prec@1 25.781 (33.682)	Prec@5 56.250 (64.121)
Epoch: [10][2660/14090]	Time 0.775 (0.766)	Data 0.001 (0.002)	Loss 2.7335 (2.7861)	Prec@1 36.719 (33.688)	Prec@5 67.969 (64.125)
Epoch: [10][2670/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.7539 (2.7861)	Prec@1 34.375 (33.682)	Prec@5 66.406 (64.127)
Epoch: [10][2680/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 2.6083 (2.7862)	Prec@1 42.188 (33.687)	Prec@5 64.062 (64.126)
Epoch: [10][2690/14090]	Time 0.892 (0.766)	Data 0.001 (0.002)	Loss 2.9097 (2.7857)	Prec@1 32.031 (33.704)	Prec@5 58.594 (64.130)
Epoch: [10][2700/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.8028 (2.7860)	Prec@1 32.812 (33.701)	Prec@5 62.500 (64.126)
Epoch: [10][2710/14090]	Time 0.780 (0.766)	Data 0.001 (0.002)	Loss 2.6785 (2.7859)	Prec@1 34.375 (33.695)	Prec@5 64.062 (64.129)
Epoch: [10][2720/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.7467 (2.7861)	Prec@1 36.719 (33.692)	Prec@5 62.500 (64.122)
Epoch: [10][2730/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 2.5585 (2.7862)	Prec@1 33.594 (33.690)	Prec@5 67.969 (64.123)
Epoch: [10][2740/14090]	Time 0.749 (0.766)	Data 0.002 (0.002)	Loss 2.9963 (2.7860)	Prec@1 36.719 (33.692)	Prec@5 53.906 (64.120)
Epoch: [10][2750/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 2.7714 (2.7859)	Prec@1 36.719 (33.698)	Prec@5 67.969 (64.120)
Epoch: [10][2760/14090]	Time 0.849 (0.766)	Data 0.001 (0.002)	Loss 2.6315 (2.7860)	Prec@1 37.500 (33.693)	Prec@5 66.406 (64.117)
Epoch: [10][2770/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.9991 (2.7862)	Prec@1 32.812 (33.692)	Prec@5 62.500 (64.119)
Epoch: [10][2780/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 3.0454 (2.7864)	Prec@1 32.812 (33.688)	Prec@5 58.594 (64.116)
Epoch: [10][2790/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 2.7203 (2.7863)	Prec@1 31.250 (33.689)	Prec@5 67.188 (64.116)
Epoch: [10][2800/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.7169 (2.7865)	Prec@1 33.594 (33.686)	Prec@5 64.844 (64.112)
Epoch: [10][2810/14090]	Time 0.728 (0.766)	Data 0.001 (0.002)	Loss 2.7351 (2.7868)	Prec@1 32.812 (33.682)	Prec@5 64.844 (64.107)
Epoch: [10][2820/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 3.1126 (2.7869)	Prec@1 28.125 (33.682)	Prec@5 56.250 (64.099)
Epoch: [10][2830/14090]	Time 0.862 (0.766)	Data 0.001 (0.002)	Loss 2.8615 (2.7870)	Prec@1 35.156 (33.678)	Prec@5 65.625 (64.097)
Epoch: [10][2840/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.7424 (2.7870)	Prec@1 34.375 (33.680)	Prec@5 64.844 (64.098)
Epoch: [10][2850/14090]	Time 0.727 (0.766)	Data 0.001 (0.002)	Loss 2.6026 (2.7870)	Prec@1 37.500 (33.678)	Prec@5 71.875 (64.097)
Epoch: [10][2860/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 2.8645 (2.7869)	Prec@1 36.719 (33.678)	Prec@5 60.938 (64.101)
Epoch: [10][2870/14090]	Time 0.764 (0.766)	Data 0.001 (0.002)	Loss 2.9943 (2.7870)	Prec@1 35.156 (33.675)	Prec@5 60.156 (64.101)
Epoch: [10][2880/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 2.8113 (2.7867)	Prec@1 32.812 (33.673)	Prec@5 58.594 (64.106)
Epoch: [10][2890/14090]	Time 0.736 (0.766)	Data 0.002 (0.002)	Loss 2.6719 (2.7865)	Prec@1 39.844 (33.678)	Prec@5 65.625 (64.113)
Epoch: [10][2900/14090]	Time 0.871 (0.766)	Data 0.001 (0.002)	Loss 2.8324 (2.7869)	Prec@1 32.812 (33.675)	Prec@5 62.500 (64.104)
Epoch: [10][2910/14090]	Time 0.721 (0.766)	Data 0.001 (0.002)	Loss 2.8286 (2.7871)	Prec@1 37.500 (33.677)	Prec@5 57.812 (64.093)
Epoch: [10][2920/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 3.0100 (2.7874)	Prec@1 30.469 (33.670)	Prec@5 57.031 (64.088)
Epoch: [10][2930/14090]	Time 0.761 (0.766)	Data 0.001 (0.002)	Loss 2.9882 (2.7873)	Prec@1 32.812 (33.671)	Prec@5 59.375 (64.094)
Epoch: [10][2940/14090]	Time 0.726 (0.766)	Data 0.001 (0.002)	Loss 2.7265 (2.7871)	Prec@1 38.281 (33.672)	Prec@5 64.062 (64.096)
Epoch: [10][2950/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.6649 (2.7873)	Prec@1 35.156 (33.665)	Prec@5 66.406 (64.086)
Epoch: [10][2960/14090]	Time 0.720 (0.766)	Data 0.001 (0.002)	Loss 2.9909 (2.7877)	Prec@1 32.812 (33.664)	Prec@5 60.938 (64.077)
Epoch: [10][2970/14090]	Time 0.875 (0.766)	Data 0.001 (0.002)	Loss 2.7089 (2.7879)	Prec@1 40.625 (33.662)	Prec@5 64.844 (64.071)
Epoch: [10][2980/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 2.9095 (2.7878)	Prec@1 23.438 (33.663)	Prec@5 64.062 (64.073)
Epoch: [10][2990/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 2.7314 (2.7879)	Prec@1 36.719 (33.662)	Prec@5 60.938 (64.069)
Epoch: [10][3000/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.9584 (2.7880)	Prec@1 28.906 (33.660)	Prec@5 60.938 (64.066)
Epoch: [10][3010/14090]	Time 0.761 (0.766)	Data 0.001 (0.002)	Loss 2.8124 (2.7880)	Prec@1 32.812 (33.661)	Prec@5 63.281 (64.061)
Epoch: [10][3020/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 2.6395 (2.7883)	Prec@1 36.719 (33.654)	Prec@5 67.969 (64.057)
Epoch: [10][3030/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 3.0037 (2.7884)	Prec@1 30.469 (33.652)	Prec@5 62.500 (64.062)
Epoch: [10][3040/14090]	Time 0.866 (0.766)	Data 0.001 (0.002)	Loss 2.7668 (2.7886)	Prec@1 29.688 (33.652)	Prec@5 66.406 (64.056)
Epoch: [10][3050/14090]	Time 0.771 (0.766)	Data 0.001 (0.002)	Loss 2.4772 (2.7886)	Prec@1 37.500 (33.649)	Prec@5 69.531 (64.057)
Epoch: [10][3060/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 2.5525 (2.7880)	Prec@1 38.281 (33.659)	Prec@5 67.188 (64.066)
Epoch: [10][3070/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 3.0276 (2.7881)	Prec@1 25.000 (33.656)	Prec@5 61.719 (64.064)
Epoch: [10][3080/14090]	Time 0.767 (0.766)	Data 0.001 (0.002)	Loss 2.8136 (2.7883)	Prec@1 27.344 (33.650)	Prec@5 68.750 (64.052)
Epoch: [10][3090/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 2.9937 (2.7884)	Prec@1 28.906 (33.646)	Prec@5 61.719 (64.053)
Epoch: [10][3100/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.6719 (2.7884)	Prec@1 39.062 (33.642)	Prec@5 66.406 (64.056)
Epoch: [10][3110/14090]	Time 0.871 (0.766)	Data 0.001 (0.002)	Loss 2.8578 (2.7883)	Prec@1 29.688 (33.646)	Prec@5 67.969 (64.061)
Epoch: [10][3120/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 2.6683 (2.7882)	Prec@1 38.281 (33.654)	Prec@5 67.969 (64.067)
Epoch: [10][3130/14090]	Time 0.770 (0.766)	Data 0.001 (0.002)	Loss 2.4822 (2.7878)	Prec@1 36.719 (33.658)	Prec@5 71.094 (64.072)
Epoch: [10][3140/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 3.0817 (2.7878)	Prec@1 25.781 (33.657)	Prec@5 64.844 (64.078)
Epoch: [10][3150/14090]	Time 0.782 (0.766)	Data 0.001 (0.002)	Loss 2.6665 (2.7878)	Prec@1 35.938 (33.655)	Prec@5 67.188 (64.078)
Epoch: [10][3160/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 2.6311 (2.7877)	Prec@1 32.031 (33.659)	Prec@5 63.281 (64.078)
Epoch: [10][3170/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 2.7444 (2.7877)	Prec@1 33.594 (33.663)	Prec@5 60.156 (64.071)
Epoch: [10][3180/14090]	Time 0.865 (0.766)	Data 0.001 (0.002)	Loss 2.7674 (2.7878)	Prec@1 41.406 (33.664)	Prec@5 63.281 (64.065)
Epoch: [10][3190/14090]	Time 0.778 (0.766)	Data 0.001 (0.002)	Loss 2.8466 (2.7876)	Prec@1 31.250 (33.667)	Prec@5 65.625 (64.070)
Epoch: [10][3200/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.8608 (2.7876)	Prec@1 33.594 (33.664)	Prec@5 57.812 (64.067)
Epoch: [10][3210/14090]	Time 0.767 (0.766)	Data 0.001 (0.002)	Loss 2.6993 (2.7877)	Prec@1 39.062 (33.661)	Prec@5 65.625 (64.062)
Epoch: [10][3220/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 2.8742 (2.7876)	Prec@1 32.812 (33.659)	Prec@5 62.500 (64.061)
Epoch: [10][3230/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.8454 (2.7876)	Prec@1 29.688 (33.656)	Prec@5 62.500 (64.062)
Epoch: [10][3240/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 2.6764 (2.7876)	Prec@1 32.812 (33.653)	Prec@5 68.750 (64.063)
Epoch: [10][3250/14090]	Time 0.874 (0.766)	Data 0.001 (0.002)	Loss 2.6677 (2.7878)	Prec@1 35.938 (33.648)	Prec@5 65.625 (64.062)
Epoch: [10][3260/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.5825 (2.7876)	Prec@1 32.031 (33.654)	Prec@5 70.312 (64.066)
Epoch: [10][3270/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.9197 (2.7876)	Prec@1 31.250 (33.655)	Prec@5 66.406 (64.070)
Epoch: [10][3280/14090]	Time 0.761 (0.766)	Data 0.001 (0.002)	Loss 2.5419 (2.7875)	Prec@1 35.938 (33.660)	Prec@5 70.312 (64.071)
Epoch: [10][3290/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 2.8692 (2.7876)	Prec@1 31.250 (33.661)	Prec@5 64.844 (64.065)
Epoch: [10][3300/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.6506 (2.7879)	Prec@1 36.719 (33.654)	Prec@5 64.844 (64.057)
Epoch: [10][3310/14090]	Time 0.769 (0.766)	Data 0.001 (0.002)	Loss 2.4609 (2.7877)	Prec@1 38.281 (33.654)	Prec@5 69.531 (64.061)
Epoch: [10][3320/14090]	Time 0.877 (0.766)	Data 0.001 (0.002)	Loss 2.8554 (2.7877)	Prec@1 37.500 (33.656)	Prec@5 60.156 (64.061)
Epoch: [10][3330/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.5776 (2.7876)	Prec@1 37.500 (33.660)	Prec@5 68.750 (64.064)
Epoch: [10][3340/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.7922 (2.7874)	Prec@1 35.938 (33.664)	Prec@5 60.938 (64.063)
Epoch: [10][3350/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 3.0614 (2.7877)	Prec@1 32.812 (33.663)	Prec@5 57.812 (64.059)
Epoch: [10][3360/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 2.5651 (2.7877)	Prec@1 35.938 (33.662)	Prec@5 64.062 (64.057)
Epoch: [10][3370/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.9529 (2.7875)	Prec@1 36.719 (33.668)	Prec@5 61.719 (64.061)
Epoch: [10][3380/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 2.9377 (2.7876)	Prec@1 30.469 (33.674)	Prec@5 58.594 (64.056)
Epoch: [10][3390/14090]	Time 0.869 (0.766)	Data 0.001 (0.002)	Loss 3.0255 (2.7875)	Prec@1 30.469 (33.678)	Prec@5 57.031 (64.059)
Epoch: [10][3400/14090]	Time 0.774 (0.766)	Data 0.001 (0.002)	Loss 2.6997 (2.7876)	Prec@1 34.375 (33.674)	Prec@5 69.531 (64.060)
Epoch: [10][3410/14090]	Time 0.766 (0.766)	Data 0.001 (0.002)	Loss 2.8029 (2.7873)	Prec@1 32.812 (33.681)	Prec@5 67.188 (64.066)
Epoch: [10][3420/14090]	Time 0.768 (0.766)	Data 0.001 (0.002)	Loss 2.6198 (2.7871)	Prec@1 28.906 (33.681)	Prec@5 66.406 (64.065)
Epoch: [10][3430/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 2.3134 (2.7870)	Prec@1 40.625 (33.685)	Prec@5 73.438 (64.069)
Epoch: [10][3440/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 2.7981 (2.7871)	Prec@1 33.594 (33.683)	Prec@5 64.062 (64.070)
Epoch: [10][3450/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 3.2249 (2.7873)	Prec@1 26.562 (33.678)	Prec@5 59.375 (64.066)
Epoch: [10][3460/14090]	Time 0.855 (0.766)	Data 0.001 (0.002)	Loss 2.7234 (2.7870)	Prec@1 33.594 (33.686)	Prec@5 64.844 (64.071)
Epoch: [10][3470/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 3.0737 (2.7870)	Prec@1 27.344 (33.682)	Prec@5 59.375 (64.076)
Epoch: [10][3480/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.7065 (2.7871)	Prec@1 38.281 (33.681)	Prec@5 64.844 (64.076)
Epoch: [10][3490/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 2.9416 (2.7872)	Prec@1 27.344 (33.675)	Prec@5 59.375 (64.075)
Epoch: [10][3500/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.7819 (2.7872)	Prec@1 29.688 (33.673)	Prec@5 69.531 (64.079)
Epoch: [10][3510/14090]	Time 0.724 (0.766)	Data 0.002 (0.002)	Loss 2.5531 (2.7874)	Prec@1 39.844 (33.673)	Prec@5 64.062 (64.075)
Epoch: [10][3520/14090]	Time 0.753 (0.765)	Data 0.001 (0.002)	Loss 2.7172 (2.7873)	Prec@1 34.375 (33.674)	Prec@5 64.844 (64.073)
Epoch: [10][3530/14090]	Time 0.874 (0.766)	Data 0.001 (0.002)	Loss 2.5627 (2.7869)	Prec@1 39.844 (33.687)	Prec@5 69.531 (64.081)
Epoch: [10][3540/14090]	Time 0.741 (0.765)	Data 0.001 (0.002)	Loss 3.1614 (2.7871)	Prec@1 25.000 (33.680)	Prec@5 62.500 (64.078)
Epoch: [10][3550/14090]	Time 0.754 (0.765)	Data 0.001 (0.002)	Loss 2.5082 (2.7871)	Prec@1 37.500 (33.686)	Prec@5 69.531 (64.077)
Epoch: [10][3560/14090]	Time 0.729 (0.765)	Data 0.001 (0.002)	Loss 2.7501 (2.7870)	Prec@1 34.375 (33.682)	Prec@5 60.938 (64.077)
Epoch: [10][3570/14090]	Time 0.740 (0.765)	Data 0.001 (0.002)	Loss 2.8554 (2.7871)	Prec@1 31.250 (33.680)	Prec@5 61.719 (64.071)
Epoch: [10][3580/14090]	Time 0.759 (0.765)	Data 0.001 (0.002)	Loss 2.8457 (2.7874)	Prec@1 35.156 (33.673)	Prec@5 57.812 (64.062)
Epoch: [10][3590/14090]	Time 0.740 (0.765)	Data 0.001 (0.002)	Loss 2.7108 (2.7877)	Prec@1 28.125 (33.668)	Prec@5 65.625 (64.061)
Epoch: [10][3600/14090]	Time 0.878 (0.766)	Data 0.001 (0.002)	Loss 3.0343 (2.7876)	Prec@1 29.688 (33.667)	Prec@5 61.719 (64.064)
Epoch: [10][3610/14090]	Time 0.753 (0.765)	Data 0.001 (0.002)	Loss 2.8693 (2.7877)	Prec@1 35.938 (33.667)	Prec@5 61.719 (64.063)
Epoch: [10][3620/14090]	Time 0.769 (0.765)	Data 0.001 (0.002)	Loss 3.0670 (2.7878)	Prec@1 30.469 (33.667)	Prec@5 58.594 (64.062)
Epoch: [10][3630/14090]	Time 0.762 (0.765)	Data 0.001 (0.002)	Loss 2.8264 (2.7878)	Prec@1 35.156 (33.665)	Prec@5 61.719 (64.065)
Epoch: [10][3640/14090]	Time 0.736 (0.765)	Data 0.001 (0.002)	Loss 2.5212 (2.7880)	Prec@1 40.625 (33.662)	Prec@5 64.062 (64.061)
Epoch: [10][3650/14090]	Time 0.756 (0.765)	Data 0.001 (0.002)	Loss 2.6888 (2.7879)	Prec@1 33.594 (33.664)	Prec@5 67.188 (64.066)
Epoch: [10][3660/14090]	Time 0.743 (0.765)	Data 0.001 (0.002)	Loss 2.4361 (2.7878)	Prec@1 42.188 (33.667)	Prec@5 71.875 (64.071)
Epoch: [10][3670/14090]	Time 0.866 (0.765)	Data 0.001 (0.002)	Loss 2.4524 (2.7876)	Prec@1 39.062 (33.672)	Prec@5 69.531 (64.079)
Epoch: [10][3680/14090]	Time 0.758 (0.765)	Data 0.001 (0.002)	Loss 3.0710 (2.7879)	Prec@1 26.562 (33.662)	Prec@5 58.594 (64.070)
Epoch: [10][3690/14090]	Time 0.761 (0.765)	Data 0.001 (0.002)	Loss 2.9274 (2.7881)	Prec@1 27.344 (33.662)	Prec@5 63.281 (64.062)
Epoch: [10][3700/14090]	Time 0.754 (0.765)	Data 0.001 (0.002)	Loss 2.7892 (2.7881)	Prec@1 32.812 (33.662)	Prec@5 60.938 (64.062)
Epoch: [10][3710/14090]	Time 0.763 (0.765)	Data 0.001 (0.002)	Loss 2.8069 (2.7879)	Prec@1 33.594 (33.667)	Prec@5 60.156 (64.065)
Epoch: [10][3720/14090]	Time 0.748 (0.765)	Data 0.001 (0.002)	Loss 2.9335 (2.7877)	Prec@1 28.125 (33.670)	Prec@5 65.625 (64.068)
Epoch: [10][3730/14090]	Time 0.760 (0.765)	Data 0.001 (0.002)	Loss 3.0161 (2.7878)	Prec@1 35.156 (33.672)	Prec@5 62.500 (64.067)
Epoch: [10][3740/14090]	Time 0.856 (0.765)	Data 0.001 (0.002)	Loss 2.5306 (2.7877)	Prec@1 38.281 (33.676)	Prec@5 70.312 (64.065)
Epoch: [10][3750/14090]	Time 0.740 (0.765)	Data 0.001 (0.002)	Loss 2.7763 (2.7876)	Prec@1 35.156 (33.676)	Prec@5 60.938 (64.066)
Epoch: [10][3760/14090]	Time 0.758 (0.765)	Data 0.001 (0.002)	Loss 2.9154 (2.7878)	Prec@1 32.031 (33.673)	Prec@5 57.031 (64.061)
Epoch: [10][3770/14090]	Time 0.737 (0.765)	Data 0.001 (0.002)	Loss 3.0393 (2.7876)	Prec@1 28.906 (33.675)	Prec@5 61.719 (64.068)
Epoch: [10][3780/14090]	Time 0.729 (0.765)	Data 0.002 (0.002)	Loss 2.7038 (2.7876)	Prec@1 35.938 (33.677)	Prec@5 64.062 (64.067)
Epoch: [10][3790/14090]	Time 0.752 (0.765)	Data 0.001 (0.002)	Loss 2.7643 (2.7874)	Prec@1 37.500 (33.678)	Prec@5 63.281 (64.073)
Epoch: [10][3800/14090]	Time 0.775 (0.765)	Data 0.001 (0.002)	Loss 2.4133 (2.7874)	Prec@1 42.969 (33.678)	Prec@5 70.312 (64.068)
Epoch: [10][3810/14090]	Time 0.860 (0.765)	Data 0.001 (0.002)	Loss 2.6947 (2.7874)	Prec@1 34.375 (33.677)	Prec@5 68.750 (64.072)
Epoch: [10][3820/14090]	Time 0.751 (0.765)	Data 0.001 (0.002)	Loss 3.0811 (2.7876)	Prec@1 31.250 (33.675)	Prec@5 53.125 (64.063)
Epoch: [10][3830/14090]	Time 0.721 (0.765)	Data 0.001 (0.002)	Loss 3.0398 (2.7876)	Prec@1 31.250 (33.676)	Prec@5 64.844 (64.064)
Epoch: [10][3840/14090]	Time 0.748 (0.765)	Data 0.001 (0.002)	Loss 2.4120 (2.7874)	Prec@1 42.969 (33.683)	Prec@5 71.094 (64.068)
Epoch: [10][3850/14090]	Time 0.743 (0.765)	Data 0.001 (0.002)	Loss 2.4495 (2.7874)	Prec@1 39.062 (33.682)	Prec@5 69.531 (64.064)
Epoch: [10][3860/14090]	Time 0.751 (0.765)	Data 0.001 (0.002)	Loss 2.8630 (2.7874)	Prec@1 30.469 (33.681)	Prec@5 63.281 (64.065)
Epoch: [10][3870/14090]	Time 0.753 (0.765)	Data 0.001 (0.002)	Loss 2.6539 (2.7872)	Prec@1 40.625 (33.684)	Prec@5 64.844 (64.065)
Epoch: [10][3880/14090]	Time 0.864 (0.765)	Data 0.001 (0.002)	Loss 2.8462 (2.7875)	Prec@1 35.938 (33.679)	Prec@5 65.625 (64.063)
Epoch: [10][3890/14090]	Time 0.746 (0.765)	Data 0.001 (0.002)	Loss 2.7806 (2.7875)	Prec@1 35.938 (33.682)	Prec@5 66.406 (64.063)
Epoch: [10][3900/14090]	Time 0.759 (0.765)	Data 0.001 (0.002)	Loss 3.0091 (2.7873)	Prec@1 29.688 (33.688)	Prec@5 57.031 (64.065)
Epoch: [10][3910/14090]	Time 0.738 (0.765)	Data 0.001 (0.002)	Loss 2.8771 (2.7873)	Prec@1 35.156 (33.691)	Prec@5 65.625 (64.066)
Epoch: [10][3920/14090]	Time 0.746 (0.765)	Data 0.001 (0.002)	Loss 3.1122 (2.7876)	Prec@1 28.125 (33.691)	Prec@5 53.125 (64.060)
Epoch: [10][3930/14090]	Time 0.755 (0.765)	Data 0.001 (0.002)	Loss 3.0952 (2.7877)	Prec@1 33.594 (33.690)	Prec@5 58.594 (64.055)
Epoch: [10][3940/14090]	Time 0.774 (0.765)	Data 0.001 (0.002)	Loss 2.8758 (2.7877)	Prec@1 40.625 (33.689)	Prec@5 65.625 (64.057)
Epoch: [10][3950/14090]	Time 0.855 (0.765)	Data 0.001 (0.002)	Loss 2.6113 (2.7875)	Prec@1 32.812 (33.690)	Prec@5 68.750 (64.058)
Epoch: [10][3960/14090]	Time 0.740 (0.765)	Data 0.001 (0.002)	Loss 2.5733 (2.7877)	Prec@1 34.375 (33.686)	Prec@5 64.844 (64.053)
Epoch: [10][3970/14090]	Time 0.744 (0.765)	Data 0.001 (0.002)	Loss 2.8699 (2.7878)	Prec@1 23.438 (33.680)	Prec@5 57.812 (64.050)
Epoch: [10][3980/14090]	Time 0.739 (0.765)	Data 0.001 (0.002)	Loss 2.6143 (2.7878)	Prec@1 32.031 (33.679)	Prec@5 71.875 (64.051)
Epoch: [10][3990/14090]	Time 0.731 (0.765)	Data 0.001 (0.002)	Loss 2.8378 (2.7879)	Prec@1 35.156 (33.678)	Prec@5 64.062 (64.051)
Epoch: [10][4000/14090]	Time 0.728 (0.765)	Data 0.001 (0.002)	Loss 2.6869 (2.7879)	Prec@1 35.938 (33.681)	Prec@5 64.062 (64.050)
Epoch: [10][4010/14090]	Time 0.745 (0.765)	Data 0.001 (0.002)	Loss 2.5893 (2.7877)	Prec@1 41.406 (33.683)	Prec@5 65.625 (64.048)
Epoch: [10][4020/14090]	Time 0.858 (0.765)	Data 0.001 (0.002)	Loss 2.6728 (2.7877)	Prec@1 35.938 (33.681)	Prec@5 65.625 (64.048)
Epoch: [10][4030/14090]	Time 0.782 (0.765)	Data 0.001 (0.002)	Loss 2.6142 (2.7879)	Prec@1 30.469 (33.676)	Prec@5 69.531 (64.044)
Epoch: [10][4040/14090]	Time 0.773 (0.765)	Data 0.001 (0.002)	Loss 3.2251 (2.7879)	Prec@1 33.594 (33.681)	Prec@5 54.688 (64.041)
Epoch: [10][4050/14090]	Time 0.744 (0.765)	Data 0.001 (0.002)	Loss 2.7796 (2.7881)	Prec@1 36.719 (33.681)	Prec@5 69.531 (64.040)
Epoch: [10][4060/14090]	Time 0.735 (0.765)	Data 0.001 (0.002)	Loss 2.9182 (2.7883)	Prec@1 33.594 (33.679)	Prec@5 64.062 (64.034)
Epoch: [10][4070/14090]	Time 0.757 (0.765)	Data 0.001 (0.002)	Loss 2.7383 (2.7886)	Prec@1 36.719 (33.674)	Prec@5 64.062 (64.030)
Epoch: [10][4080/14090]	Time 0.754 (0.765)	Data 0.001 (0.002)	Loss 2.4178 (2.7886)	Prec@1 47.656 (33.675)	Prec@5 75.000 (64.032)
Epoch: [10][4090/14090]	Time 0.862 (0.765)	Data 0.001 (0.002)	Loss 2.8588 (2.7887)	Prec@1 28.906 (33.668)	Prec@5 64.062 (64.030)
Epoch: [10][4100/14090]	Time 0.731 (0.765)	Data 0.001 (0.002)	Loss 2.9396 (2.7887)	Prec@1 35.156 (33.674)	Prec@5 57.812 (64.026)
Epoch: [10][4110/14090]	Time 0.737 (0.765)	Data 0.001 (0.002)	Loss 3.0273 (2.7888)	Prec@1 25.781 (33.669)	Prec@5 60.156 (64.025)
Epoch: [10][4120/14090]	Time 0.771 (0.765)	Data 0.001 (0.002)	Loss 2.8557 (2.7890)	Prec@1 28.906 (33.667)	Prec@5 60.938 (64.020)
Epoch: [10][4130/14090]	Time 0.789 (0.765)	Data 0.001 (0.002)	Loss 2.7854 (2.7893)	Prec@1 31.250 (33.663)	Prec@5 68.750 (64.010)
Epoch: [10][4140/14090]	Time 0.731 (0.765)	Data 0.001 (0.002)	Loss 2.8758 (2.7894)	Prec@1 31.250 (33.658)	Prec@5 64.844 (64.009)
Epoch: [10][4150/14090]	Time 0.747 (0.765)	Data 0.001 (0.002)	Loss 2.9324 (2.7895)	Prec@1 35.156 (33.657)	Prec@5 60.156 (64.004)
Epoch: [10][4160/14090]	Time 0.859 (0.765)	Data 0.001 (0.002)	Loss 2.8054 (2.7896)	Prec@1 31.250 (33.652)	Prec@5 64.062 (63.998)
Epoch: [10][4170/14090]	Time 0.763 (0.765)	Data 0.001 (0.002)	Loss 2.6307 (2.7896)	Prec@1 37.500 (33.652)	Prec@5 67.969 (63.994)
Epoch: [10][4180/14090]	Time 0.749 (0.765)	Data 0.001 (0.002)	Loss 3.2935 (2.7897)	Prec@1 29.688 (33.653)	Prec@5 55.469 (63.996)
Epoch: [10][4190/14090]	Time 0.761 (0.765)	Data 0.001 (0.002)	Loss 2.4819 (2.7897)	Prec@1 37.500 (33.652)	Prec@5 70.312 (63.998)
Epoch: [10][4200/14090]	Time 0.755 (0.765)	Data 0.001 (0.002)	Loss 3.0234 (2.7900)	Prec@1 25.000 (33.647)	Prec@5 54.688 (63.989)
Epoch: [10][4210/14090]	Time 0.736 (0.765)	Data 0.001 (0.002)	Loss 2.7491 (2.7901)	Prec@1 36.719 (33.651)	Prec@5 65.625 (63.988)
Epoch: [10][4220/14090]	Time 0.732 (0.765)	Data 0.001 (0.002)	Loss 2.7544 (2.7900)	Prec@1 35.156 (33.650)	Prec@5 62.500 (63.991)
Epoch: [10][4230/14090]	Time 0.860 (0.765)	Data 0.001 (0.002)	Loss 2.6577 (2.7899)	Prec@1 39.844 (33.654)	Prec@5 66.406 (63.992)
Epoch: [10][4240/14090]	Time 0.740 (0.765)	Data 0.001 (0.002)	Loss 2.8817 (2.7899)	Prec@1 37.500 (33.653)	Prec@5 64.844 (63.992)
Epoch: [10][4250/14090]	Time 0.758 (0.765)	Data 0.001 (0.002)	Loss 2.9297 (2.7898)	Prec@1 32.031 (33.651)	Prec@5 64.062 (63.994)
Epoch: [10][4260/14090]	Time 0.742 (0.765)	Data 0.001 (0.002)	Loss 3.0384 (2.7899)	Prec@1 27.344 (33.651)	Prec@5 61.719 (63.994)
Epoch: [10][4270/14090]	Time 0.763 (0.765)	Data 0.001 (0.002)	Loss 2.8092 (2.7900)	Prec@1 35.938 (33.649)	Prec@5 62.500 (63.992)
Epoch: [10][4280/14090]	Time 0.738 (0.765)	Data 0.001 (0.002)	Loss 2.7737 (2.7901)	Prec@1 37.500 (33.650)	Prec@5 64.062 (63.990)
Epoch: [10][4290/14090]	Time 0.755 (0.765)	Data 0.001 (0.002)	Loss 2.8730 (2.7902)	Prec@1 35.938 (33.649)	Prec@5 62.500 (63.990)
Epoch: [10][4300/14090]	Time 0.844 (0.765)	Data 0.001 (0.002)	Loss 3.1532 (2.7906)	Prec@1 36.719 (33.648)	Prec@5 53.125 (63.981)
Epoch: [10][4310/14090]	Time 0.760 (0.765)	Data 0.003 (0.002)	Loss 2.7927 (2.7906)	Prec@1 29.688 (33.647)	Prec@5 65.625 (63.981)
Epoch: [10][4320/14090]	Time 0.764 (0.765)	Data 0.001 (0.002)	Loss 2.6627 (2.7905)	Prec@1 33.594 (33.647)	Prec@5 69.531 (63.983)
Epoch: [10][4330/14090]	Time 0.737 (0.765)	Data 0.002 (0.002)	Loss 2.7413 (2.7903)	Prec@1 37.500 (33.648)	Prec@5 67.969 (63.988)
Epoch: [10][4340/14090]	Time 0.732 (0.765)	Data 0.001 (0.002)	Loss 2.6616 (2.7901)	Prec@1 37.500 (33.650)	Prec@5 65.625 (63.989)
Epoch: [10][4350/14090]	Time 0.760 (0.765)	Data 0.001 (0.002)	Loss 2.8126 (2.7900)	Prec@1 33.594 (33.654)	Prec@5 62.500 (63.994)
Epoch: [10][4360/14090]	Time 0.758 (0.765)	Data 0.001 (0.002)	Loss 2.7042 (2.7900)	Prec@1 37.500 (33.659)	Prec@5 68.750 (63.994)
Epoch: [10][4370/14090]	Time 0.885 (0.765)	Data 0.001 (0.002)	Loss 2.7720 (2.7900)	Prec@1 39.062 (33.662)	Prec@5 66.406 (63.996)
Epoch: [10][4380/14090]	Time 0.723 (0.765)	Data 0.001 (0.002)	Loss 3.1027 (2.7901)	Prec@1 25.000 (33.657)	Prec@5 55.469 (63.991)
Epoch: [10][4390/14090]	Time 0.744 (0.765)	Data 0.001 (0.002)	Loss 2.9725 (2.7901)	Prec@1 37.500 (33.657)	Prec@5 57.812 (63.991)
Epoch: [10][4400/14090]	Time 0.736 (0.765)	Data 0.001 (0.002)	Loss 2.3003 (2.7899)	Prec@1 39.844 (33.661)	Prec@5 71.094 (63.995)
Epoch: [10][4410/14090]	Time 0.730 (0.765)	Data 0.001 (0.002)	Loss 2.5686 (2.7901)	Prec@1 39.844 (33.663)	Prec@5 69.531 (63.995)
Epoch: [10][4420/14090]	Time 0.741 (0.765)	Data 0.001 (0.002)	Loss 2.6378 (2.7899)	Prec@1 39.062 (33.671)	Prec@5 69.531 (64.001)
Epoch: [10][4430/14090]	Time 0.780 (0.765)	Data 0.001 (0.002)	Loss 2.9056 (2.7899)	Prec@1 29.688 (33.671)	Prec@5 60.156 (64.000)
Epoch: [10][4440/14090]	Time 0.845 (0.765)	Data 0.001 (0.002)	Loss 2.4965 (2.7897)	Prec@1 35.938 (33.673)	Prec@5 70.312 (64.007)
Epoch: [10][4450/14090]	Time 0.774 (0.765)	Data 0.001 (0.002)	Loss 2.6891 (2.7898)	Prec@1 34.375 (33.669)	Prec@5 66.406 (64.005)
Epoch: [10][4460/14090]	Time 0.750 (0.765)	Data 0.001 (0.002)	Loss 2.7523 (2.7899)	Prec@1 28.125 (33.668)	Prec@5 64.062 (64.004)
Epoch: [10][4470/14090]	Time 0.769 (0.765)	Data 0.001 (0.002)	Loss 2.9518 (2.7897)	Prec@1 29.688 (33.676)	Prec@5 64.062 (64.006)
Epoch: [10][4480/14090]	Time 0.751 (0.765)	Data 0.001 (0.002)	Loss 2.9027 (2.7897)	Prec@1 30.469 (33.672)	Prec@5 59.375 (64.007)
Epoch: [10][4490/14090]	Time 0.725 (0.765)	Data 0.001 (0.002)	Loss 2.6322 (2.7898)	Prec@1 37.500 (33.666)	Prec@5 70.312 (64.008)
Epoch: [10][4500/14090]	Time 0.739 (0.765)	Data 0.001 (0.002)	Loss 2.9517 (2.7899)	Prec@1 30.469 (33.664)	Prec@5 64.844 (64.009)
Epoch: [10][4510/14090]	Time 0.819 (0.765)	Data 0.001 (0.002)	Loss 2.7316 (2.7899)	Prec@1 39.062 (33.663)	Prec@5 63.281 (64.009)
Epoch: [10][4520/14090]	Time 0.764 (0.765)	Data 0.001 (0.002)	Loss 3.0052 (2.7899)	Prec@1 28.125 (33.663)	Prec@5 58.594 (64.008)
Epoch: [10][4530/14090]	Time 0.761 (0.765)	Data 0.001 (0.002)	Loss 2.6503 (2.7899)	Prec@1 32.812 (33.660)	Prec@5 64.844 (64.007)
Epoch: [10][4540/14090]	Time 0.755 (0.765)	Data 0.001 (0.002)	Loss 2.6434 (2.7898)	Prec@1 33.594 (33.659)	Prec@5 67.188 (64.006)
Epoch: [10][4550/14090]	Time 0.753 (0.765)	Data 0.001 (0.002)	Loss 2.8297 (2.7899)	Prec@1 34.375 (33.661)	Prec@5 67.188 (64.006)
Epoch: [10][4560/14090]	Time 0.740 (0.765)	Data 0.001 (0.002)	Loss 2.9779 (2.7898)	Prec@1 31.250 (33.663)	Prec@5 63.281 (64.005)
Epoch: [10][4570/14090]	Time 0.766 (0.765)	Data 0.002 (0.002)	Loss 2.5986 (2.7898)	Prec@1 33.594 (33.661)	Prec@5 70.312 (64.004)
Epoch: [10][4580/14090]	Time 0.848 (0.765)	Data 0.001 (0.002)	Loss 2.6713 (2.7899)	Prec@1 37.500 (33.662)	Prec@5 63.281 (64.002)
Epoch: [10][4590/14090]	Time 0.761 (0.765)	Data 0.001 (0.002)	Loss 2.6916 (2.7901)	Prec@1 35.938 (33.660)	Prec@5 66.406 (63.998)
Epoch: [10][4600/14090]	Time 0.754 (0.765)	Data 0.001 (0.002)	Loss 2.8510 (2.7901)	Prec@1 30.469 (33.659)	Prec@5 67.188 (64.001)
Epoch: [10][4610/14090]	Time 0.741 (0.765)	Data 0.001 (0.002)	Loss 2.9361 (2.7902)	Prec@1 32.812 (33.658)	Prec@5 60.156 (63.997)
Epoch: [10][4620/14090]	Time 0.739 (0.765)	Data 0.001 (0.002)	Loss 2.8957 (2.7903)	Prec@1 31.250 (33.655)	Prec@5 64.062 (63.994)
Epoch: [10][4630/14090]	Time 0.750 (0.765)	Data 0.001 (0.002)	Loss 2.6860 (2.7903)	Prec@1 35.156 (33.653)	Prec@5 67.188 (63.994)
Epoch: [10][4640/14090]	Time 0.733 (0.765)	Data 0.001 (0.002)	Loss 2.7759 (2.7902)	Prec@1 32.031 (33.653)	Prec@5 64.844 (63.997)
Epoch: [10][4650/14090]	Time 0.914 (0.765)	Data 0.001 (0.002)	Loss 2.6962 (2.7901)	Prec@1 42.188 (33.658)	Prec@5 65.625 (64.001)
Epoch: [10][4660/14090]	Time 0.743 (0.765)	Data 0.001 (0.002)	Loss 2.7867 (2.7903)	Prec@1 36.719 (33.654)	Prec@5 63.281 (63.994)
Epoch: [10][4670/14090]	Time 0.751 (0.765)	Data 0.001 (0.002)	Loss 2.9873 (2.7903)	Prec@1 32.031 (33.655)	Prec@5 60.156 (63.995)
Epoch: [10][4680/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 2.7267 (2.7904)	Prec@1 32.812 (33.655)	Prec@5 60.938 (63.992)
Epoch: [10][4690/14090]	Time 0.734 (0.765)	Data 0.001 (0.002)	Loss 2.5161 (2.7903)	Prec@1 38.281 (33.655)	Prec@5 70.312 (63.993)
Epoch: [10][4700/14090]	Time 0.730 (0.765)	Data 0.001 (0.002)	Loss 2.7927 (2.7904)	Prec@1 33.594 (33.652)	Prec@5 59.375 (63.988)
Epoch: [10][4710/14090]	Time 0.733 (0.765)	Data 0.001 (0.002)	Loss 2.9190 (2.7906)	Prec@1 33.594 (33.648)	Prec@5 59.375 (63.986)
Epoch: [10][4720/14090]	Time 0.905 (0.765)	Data 0.001 (0.002)	Loss 2.7894 (2.7906)	Prec@1 32.031 (33.648)	Prec@5 60.938 (63.983)
Epoch: [10][4730/14090]	Time 0.725 (0.765)	Data 0.001 (0.002)	Loss 2.4962 (2.7903)	Prec@1 38.281 (33.649)	Prec@5 70.312 (63.987)
Epoch: [10][4740/14090]	Time 0.735 (0.765)	Data 0.001 (0.002)	Loss 2.9782 (2.7903)	Prec@1 34.375 (33.650)	Prec@5 60.156 (63.986)
Epoch: [10][4750/14090]	Time 0.771 (0.765)	Data 0.001 (0.002)	Loss 2.7593 (2.7903)	Prec@1 26.562 (33.649)	Prec@5 65.625 (63.988)
Epoch: [10][4760/14090]	Time 0.738 (0.765)	Data 0.001 (0.002)	Loss 2.6650 (2.7903)	Prec@1 41.406 (33.650)	Prec@5 67.188 (63.987)
Epoch: [10][4770/14090]	Time 0.724 (0.765)	Data 0.001 (0.002)	Loss 2.6901 (2.7903)	Prec@1 32.031 (33.650)	Prec@5 67.969 (63.989)
Epoch: [10][4780/14090]	Time 0.753 (0.765)	Data 0.001 (0.002)	Loss 3.2880 (2.7904)	Prec@1 24.219 (33.645)	Prec@5 50.000 (63.986)
Epoch: [10][4790/14090]	Time 0.854 (0.765)	Data 0.001 (0.002)	Loss 3.0005 (2.7904)	Prec@1 29.688 (33.645)	Prec@5 59.375 (63.985)
Epoch: [10][4800/14090]	Time 0.726 (0.765)	Data 0.001 (0.002)	Loss 2.7562 (2.7901)	Prec@1 33.594 (33.649)	Prec@5 60.156 (63.991)
Epoch: [10][4810/14090]	Time 0.740 (0.765)	Data 0.001 (0.002)	Loss 2.6392 (2.7902)	Prec@1 39.062 (33.650)	Prec@5 74.219 (63.993)
Epoch: [10][4820/14090]	Time 0.758 (0.765)	Data 0.001 (0.002)	Loss 2.7090 (2.7901)	Prec@1 38.281 (33.656)	Prec@5 67.188 (63.997)
Epoch: [10][4830/14090]	Time 0.729 (0.765)	Data 0.001 (0.002)	Loss 2.7931 (2.7901)	Prec@1 25.781 (33.654)	Prec@5 66.406 (63.995)
Epoch: [10][4840/14090]	Time 0.756 (0.765)	Data 0.001 (0.002)	Loss 2.7423 (2.7900)	Prec@1 33.594 (33.655)	Prec@5 64.062 (63.997)
Epoch: [10][4850/14090]	Time 0.754 (0.765)	Data 0.001 (0.002)	Loss 3.0496 (2.7899)	Prec@1 28.125 (33.660)	Prec@5 58.594 (63.998)
Epoch: [10][4860/14090]	Time 0.868 (0.765)	Data 0.001 (0.002)	Loss 2.6551 (2.7897)	Prec@1 32.812 (33.659)	Prec@5 67.188 (64.001)
Epoch: [10][4870/14090]	Time 0.757 (0.765)	Data 0.001 (0.002)	Loss 2.5717 (2.7897)	Prec@1 30.469 (33.658)	Prec@5 69.531 (64.003)
Epoch: [10][4880/14090]	Time 0.731 (0.765)	Data 0.001 (0.002)	Loss 3.0156 (2.7896)	Prec@1 28.906 (33.660)	Prec@5 57.031 (64.006)
Epoch: [10][4890/14090]	Time 0.778 (0.765)	Data 0.001 (0.002)	Loss 2.8211 (2.7897)	Prec@1 31.250 (33.658)	Prec@5 62.500 (64.005)
Epoch: [10][4900/14090]	Time 0.734 (0.765)	Data 0.001 (0.002)	Loss 2.6554 (2.7897)	Prec@1 32.812 (33.658)	Prec@5 64.844 (64.007)
Epoch: [10][4910/14090]	Time 0.765 (0.765)	Data 0.001 (0.002)	Loss 2.6934 (2.7896)	Prec@1 42.188 (33.660)	Prec@5 65.625 (64.009)
Epoch: [10][4920/14090]	Time 0.742 (0.765)	Data 0.004 (0.002)	Loss 2.5542 (2.7896)	Prec@1 38.281 (33.662)	Prec@5 69.531 (64.010)
Epoch: [10][4930/14090]	Time 0.857 (0.765)	Data 0.001 (0.002)	Loss 3.0778 (2.7898)	Prec@1 29.688 (33.658)	Prec@5 54.688 (64.005)
Epoch: [10][4940/14090]	Time 0.733 (0.765)	Data 0.001 (0.002)	Loss 2.4736 (2.7898)	Prec@1 38.281 (33.659)	Prec@5 72.656 (64.005)
Epoch: [10][4950/14090]	Time 0.749 (0.765)	Data 0.001 (0.002)	Loss 2.8616 (2.7898)	Prec@1 32.031 (33.660)	Prec@5 65.625 (64.004)
Epoch: [10][4960/14090]	Time 0.732 (0.765)	Data 0.001 (0.002)	Loss 2.6183 (2.7896)	Prec@1 32.812 (33.661)	Prec@5 68.750 (64.011)
Epoch: [10][4970/14090]	Time 0.740 (0.765)	Data 0.001 (0.002)	Loss 2.7901 (2.7898)	Prec@1 28.125 (33.658)	Prec@5 60.156 (64.008)
Epoch: [10][4980/14090]	Time 0.722 (0.765)	Data 0.001 (0.002)	Loss 2.9892 (2.7898)	Prec@1 27.344 (33.657)	Prec@5 57.031 (64.006)
Epoch: [10][4990/14090]	Time 0.746 (0.765)	Data 0.001 (0.002)	Loss 2.9692 (2.7900)	Prec@1 30.469 (33.649)	Prec@5 57.812 (64.002)
Epoch: [10][5000/14090]	Time 0.836 (0.765)	Data 0.001 (0.002)	Loss 2.5917 (2.7902)	Prec@1 37.500 (33.647)	Prec@5 68.750 (64.000)
Epoch: [10][5010/14090]	Time 0.744 (0.765)	Data 0.001 (0.002)	Loss 2.8277 (2.7903)	Prec@1 30.469 (33.644)	Prec@5 64.062 (63.997)
Epoch: [10][5020/14090]	Time 0.754 (0.765)	Data 0.001 (0.002)	Loss 2.5694 (2.7903)	Prec@1 35.938 (33.645)	Prec@5 69.531 (63.997)
Epoch: [10][5030/14090]	Time 0.727 (0.765)	Data 0.001 (0.002)	Loss 2.6233 (2.7904)	Prec@1 35.938 (33.644)	Prec@5 68.750 (63.999)
Epoch: [10][5040/14090]	Time 0.754 (0.765)	Data 0.001 (0.002)	Loss 3.0901 (2.7905)	Prec@1 25.781 (33.643)	Prec@5 56.250 (63.998)
Epoch: [10][5050/14090]	Time 0.766 (0.765)	Data 0.001 (0.002)	Loss 2.6714 (2.7904)	Prec@1 32.031 (33.640)	Prec@5 64.062 (63.999)
Epoch: [10][5060/14090]	Time 0.757 (0.765)	Data 0.001 (0.002)	Loss 2.5618 (2.7902)	Prec@1 35.938 (33.639)	Prec@5 71.094 (64.006)
Epoch: [10][5070/14090]	Time 0.852 (0.765)	Data 0.001 (0.002)	Loss 2.7129 (2.7904)	Prec@1 38.281 (33.639)	Prec@5 64.062 (64.004)
Epoch: [10][5080/14090]	Time 0.757 (0.765)	Data 0.001 (0.002)	Loss 2.9588 (2.7902)	Prec@1 35.156 (33.643)	Prec@5 64.062 (64.005)
Epoch: [10][5090/14090]	Time 0.745 (0.765)	Data 0.001 (0.002)	Loss 2.6468 (2.7902)	Prec@1 37.500 (33.643)	Prec@5 70.312 (64.008)
Epoch: [10][5100/14090]	Time 0.734 (0.765)	Data 0.001 (0.002)	Loss 3.1119 (2.7899)	Prec@1 28.906 (33.648)	Prec@5 53.125 (64.015)
Epoch: [10][5110/14090]	Time 0.759 (0.765)	Data 0.001 (0.002)	Loss 2.5327 (2.7898)	Prec@1 36.719 (33.652)	Prec@5 62.500 (64.014)
Epoch: [10][5120/14090]	Time 0.750 (0.765)	Data 0.001 (0.002)	Loss 2.7158 (2.7899)	Prec@1 39.062 (33.648)	Prec@5 67.969 (64.013)
Epoch: [10][5130/14090]	Time 0.764 (0.765)	Data 0.001 (0.002)	Loss 2.5986 (2.7898)	Prec@1 36.719 (33.648)	Prec@5 68.750 (64.014)
Epoch: [10][5140/14090]	Time 0.841 (0.765)	Data 0.001 (0.002)	Loss 2.5545 (2.7897)	Prec@1 44.531 (33.648)	Prec@5 72.656 (64.016)
Epoch: [10][5150/14090]	Time 0.726 (0.765)	Data 0.001 (0.002)	Loss 2.8749 (2.7896)	Prec@1 35.156 (33.652)	Prec@5 62.500 (64.018)
Epoch: [10][5160/14090]	Time 0.719 (0.765)	Data 0.001 (0.002)	Loss 2.3917 (2.7895)	Prec@1 36.719 (33.658)	Prec@5 73.438 (64.021)
Epoch: [10][5170/14090]	Time 0.765 (0.765)	Data 0.001 (0.002)	Loss 2.4783 (2.7895)	Prec@1 39.062 (33.658)	Prec@5 75.000 (64.022)
Epoch: [10][5180/14090]	Time 0.762 (0.765)	Data 0.001 (0.002)	Loss 2.7758 (2.7892)	Prec@1 27.344 (33.665)	Prec@5 67.188 (64.025)
Epoch: [10][5190/14090]	Time 0.756 (0.765)	Data 0.001 (0.002)	Loss 2.6174 (2.7892)	Prec@1 42.969 (33.666)	Prec@5 66.406 (64.021)
Epoch: [10][5200/14090]	Time 0.738 (0.765)	Data 0.001 (0.002)	Loss 2.8410 (2.7893)	Prec@1 32.812 (33.666)	Prec@5 64.844 (64.018)
Epoch: [10][5210/14090]	Time 0.875 (0.765)	Data 0.001 (0.002)	Loss 2.9274 (2.7893)	Prec@1 35.156 (33.665)	Prec@5 64.062 (64.022)
Epoch: [10][5220/14090]	Time 0.732 (0.765)	Data 0.001 (0.002)	Loss 2.8005 (2.7891)	Prec@1 33.594 (33.671)	Prec@5 62.500 (64.024)
Epoch: [10][5230/14090]	Time 0.750 (0.765)	Data 0.001 (0.002)	Loss 2.6873 (2.7890)	Prec@1 35.938 (33.672)	Prec@5 65.625 (64.023)
Epoch: [10][5240/14090]	Time 0.747 (0.765)	Data 0.001 (0.002)	Loss 2.8861 (2.7889)	Prec@1 29.688 (33.674)	Prec@5 66.406 (64.023)
Epoch: [10][5250/14090]	Time 0.761 (0.765)	Data 0.001 (0.002)	Loss 2.7374 (2.7889)	Prec@1 33.594 (33.675)	Prec@5 66.406 (64.028)
Epoch: [10][5260/14090]	Time 0.737 (0.765)	Data 0.002 (0.002)	Loss 3.1319 (2.7890)	Prec@1 28.125 (33.675)	Prec@5 57.031 (64.027)
Epoch: [10][5270/14090]	Time 0.755 (0.765)	Data 0.001 (0.002)	Loss 2.7279 (2.7891)	Prec@1 33.594 (33.673)	Prec@5 67.969 (64.027)
Epoch: [10][5280/14090]	Time 0.865 (0.765)	Data 0.001 (0.002)	Loss 2.6956 (2.7891)	Prec@1 34.375 (33.671)	Prec@5 68.750 (64.027)
Epoch: [10][5290/14090]	Time 0.743 (0.765)	Data 0.001 (0.002)	Loss 2.9682 (2.7890)	Prec@1 32.031 (33.672)	Prec@5 62.500 (64.029)
Epoch: [10][5300/14090]	Time 0.754 (0.765)	Data 0.001 (0.002)	Loss 2.6574 (2.7889)	Prec@1 34.375 (33.673)	Prec@5 61.719 (64.030)
Epoch: [10][5310/14090]	Time 0.763 (0.765)	Data 0.001 (0.002)	Loss 2.5051 (2.7889)	Prec@1 39.062 (33.676)	Prec@5 71.094 (64.031)
Epoch: [10][5320/14090]	Time 0.744 (0.765)	Data 0.001 (0.002)	Loss 2.8332 (2.7889)	Prec@1 32.031 (33.673)	Prec@5 63.281 (64.031)
Epoch: [10][5330/14090]	Time 0.750 (0.765)	Data 0.001 (0.002)	Loss 3.0032 (2.7890)	Prec@1 28.906 (33.673)	Prec@5 60.156 (64.028)
Epoch: [10][5340/14090]	Time 0.755 (0.765)	Data 0.001 (0.002)	Loss 2.9657 (2.7889)	Prec@1 33.594 (33.676)	Prec@5 61.719 (64.030)
Epoch: [10][5350/14090]	Time 0.841 (0.765)	Data 0.001 (0.002)	Loss 2.6907 (2.7891)	Prec@1 36.719 (33.675)	Prec@5 60.156 (64.028)
Epoch: [10][5360/14090]	Time 0.761 (0.765)	Data 0.001 (0.002)	Loss 2.4891 (2.7890)	Prec@1 39.062 (33.672)	Prec@5 74.219 (64.028)
Epoch: [10][5370/14090]	Time 0.765 (0.765)	Data 0.001 (0.002)	Loss 3.0504 (2.7893)	Prec@1 31.250 (33.670)	Prec@5 60.156 (64.022)
Epoch: [10][5380/14090]	Time 0.735 (0.765)	Data 0.001 (0.002)	Loss 3.0865 (2.7894)	Prec@1 33.594 (33.670)	Prec@5 62.500 (64.022)
Epoch: [10][5390/14090]	Time 0.773 (0.765)	Data 0.001 (0.002)	Loss 2.7229 (2.7893)	Prec@1 37.500 (33.672)	Prec@5 65.625 (64.023)
Epoch: [10][5400/14090]	Time 0.755 (0.765)	Data 0.001 (0.002)	Loss 2.9232 (2.7893)	Prec@1 29.688 (33.672)	Prec@5 60.938 (64.024)
Epoch: [10][5410/14090]	Time 0.752 (0.765)	Data 0.001 (0.002)	Loss 2.8017 (2.7894)	Prec@1 37.500 (33.668)	Prec@5 66.406 (64.024)
Epoch: [10][5420/14090]	Time 0.962 (0.765)	Data 0.001 (0.002)	Loss 2.8638 (2.7894)	Prec@1 25.781 (33.667)	Prec@5 63.281 (64.025)
Epoch: [10][5430/14090]	Time 0.746 (0.765)	Data 0.001 (0.002)	Loss 2.5453 (2.7894)	Prec@1 39.062 (33.666)	Prec@5 65.625 (64.027)
Epoch: [10][5440/14090]	Time 0.758 (0.765)	Data 0.001 (0.002)	Loss 2.7431 (2.7896)	Prec@1 38.281 (33.664)	Prec@5 65.625 (64.023)
Epoch: [10][5450/14090]	Time 0.783 (0.765)	Data 0.001 (0.001)	Loss 2.6455 (2.7896)	Prec@1 34.375 (33.662)	Prec@5 67.188 (64.021)
Epoch: [10][5460/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.6199 (2.7895)	Prec@1 32.812 (33.663)	Prec@5 64.844 (64.021)
Epoch: [10][5470/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.5491 (2.7894)	Prec@1 38.281 (33.665)	Prec@5 70.312 (64.023)
Epoch: [10][5480/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.4822 (2.7893)	Prec@1 36.719 (33.668)	Prec@5 69.531 (64.025)
Epoch: [10][5490/14090]	Time 0.863 (0.765)	Data 0.001 (0.001)	Loss 3.0248 (2.7894)	Prec@1 27.344 (33.665)	Prec@5 54.688 (64.022)
Epoch: [10][5500/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.9822 (2.7894)	Prec@1 33.594 (33.664)	Prec@5 61.719 (64.021)
Epoch: [10][5510/14090]	Time 0.768 (0.765)	Data 0.001 (0.001)	Loss 2.7320 (2.7894)	Prec@1 34.375 (33.664)	Prec@5 61.719 (64.020)
Epoch: [10][5520/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 3.0426 (2.7893)	Prec@1 31.250 (33.667)	Prec@5 57.812 (64.018)
Epoch: [10][5530/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.6973 (2.7893)	Prec@1 34.375 (33.664)	Prec@5 64.844 (64.016)
Epoch: [10][5540/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.6123 (2.7894)	Prec@1 34.375 (33.667)	Prec@5 67.188 (64.012)
Epoch: [10][5550/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.8299 (2.7895)	Prec@1 33.594 (33.663)	Prec@5 61.719 (64.011)
Epoch: [10][5560/14090]	Time 0.857 (0.765)	Data 0.001 (0.001)	Loss 3.1649 (2.7895)	Prec@1 24.219 (33.665)	Prec@5 56.250 (64.012)
Epoch: [10][5570/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.5948 (2.7894)	Prec@1 42.188 (33.667)	Prec@5 67.969 (64.014)
Epoch: [10][5580/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.9161 (2.7894)	Prec@1 32.031 (33.667)	Prec@5 60.938 (64.011)
Epoch: [10][5590/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.8319 (2.7895)	Prec@1 31.250 (33.665)	Prec@5 65.625 (64.011)
Epoch: [10][5600/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.9484 (2.7894)	Prec@1 32.031 (33.668)	Prec@5 65.625 (64.012)
Epoch: [10][5610/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.7793 (2.7896)	Prec@1 32.031 (33.667)	Prec@5 67.969 (64.012)
Epoch: [10][5620/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.8193 (2.7897)	Prec@1 35.938 (33.663)	Prec@5 63.281 (64.011)
Epoch: [10][5630/14090]	Time 0.855 (0.765)	Data 0.001 (0.001)	Loss 2.8165 (2.7898)	Prec@1 35.156 (33.661)	Prec@5 65.625 (64.007)
Epoch: [10][5640/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 2.6763 (2.7898)	Prec@1 35.938 (33.660)	Prec@5 67.969 (64.008)
Epoch: [10][5650/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.9551 (2.7898)	Prec@1 33.594 (33.660)	Prec@5 58.594 (64.006)
Epoch: [10][5660/14090]	Time 0.768 (0.765)	Data 0.001 (0.001)	Loss 2.5863 (2.7900)	Prec@1 36.719 (33.658)	Prec@5 65.625 (64.000)
Epoch: [10][5670/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.8043 (2.7900)	Prec@1 37.500 (33.657)	Prec@5 67.969 (64.002)
Epoch: [10][5680/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.6430 (2.7899)	Prec@1 35.938 (33.656)	Prec@5 63.281 (64.003)
Epoch: [10][5690/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.6337 (2.7899)	Prec@1 34.375 (33.655)	Prec@5 61.719 (64.000)
Epoch: [10][5700/14090]	Time 0.846 (0.765)	Data 0.001 (0.001)	Loss 2.9104 (2.7900)	Prec@1 35.156 (33.656)	Prec@5 60.938 (63.999)
Epoch: [10][5710/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.5677 (2.7899)	Prec@1 38.281 (33.659)	Prec@5 71.094 (64.001)
Epoch: [10][5720/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.6832 (2.7898)	Prec@1 36.719 (33.659)	Prec@5 59.375 (64.001)
Epoch: [10][5730/14090]	Time 0.768 (0.765)	Data 0.001 (0.001)	Loss 2.7476 (2.7896)	Prec@1 36.719 (33.662)	Prec@5 60.938 (64.005)
Epoch: [10][5740/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.5717 (2.7895)	Prec@1 37.500 (33.666)	Prec@5 67.969 (64.006)
Epoch: [10][5750/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.8999 (2.7895)	Prec@1 29.688 (33.665)	Prec@5 60.938 (64.005)
Epoch: [10][5760/14090]	Time 0.768 (0.765)	Data 0.001 (0.001)	Loss 2.7428 (2.7894)	Prec@1 33.594 (33.668)	Prec@5 64.844 (64.007)
Epoch: [10][5770/14090]	Time 0.825 (0.765)	Data 0.001 (0.001)	Loss 3.0130 (2.7896)	Prec@1 30.469 (33.666)	Prec@5 60.156 (64.003)
Epoch: [10][5780/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.7876 (2.7897)	Prec@1 32.031 (33.665)	Prec@5 64.844 (64.003)
Epoch: [10][5790/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.9779 (2.7897)	Prec@1 31.250 (33.669)	Prec@5 60.938 (64.002)
Epoch: [10][5800/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.8088 (2.7896)	Prec@1 28.906 (33.666)	Prec@5 62.500 (64.006)
Epoch: [10][5810/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.9827 (2.7896)	Prec@1 28.125 (33.664)	Prec@5 62.500 (64.005)
Epoch: [10][5820/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.9533 (2.7895)	Prec@1 31.250 (33.668)	Prec@5 57.031 (64.005)
Epoch: [10][5830/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.9842 (2.7894)	Prec@1 25.781 (33.671)	Prec@5 61.719 (64.009)
Epoch: [10][5840/14090]	Time 0.897 (0.765)	Data 0.001 (0.001)	Loss 2.9874 (2.7894)	Prec@1 27.344 (33.670)	Prec@5 64.844 (64.011)
Epoch: [10][5850/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.9029 (2.7894)	Prec@1 32.812 (33.671)	Prec@5 61.719 (64.011)
Epoch: [10][5860/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.6036 (2.7893)	Prec@1 36.719 (33.671)	Prec@5 70.312 (64.012)
Epoch: [10][5870/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.7634 (2.7894)	Prec@1 31.250 (33.668)	Prec@5 63.281 (64.011)
Epoch: [10][5880/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 3.0600 (2.7895)	Prec@1 31.250 (33.662)	Prec@5 57.031 (64.008)
Epoch: [10][5890/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.8241 (2.7894)	Prec@1 32.812 (33.664)	Prec@5 64.062 (64.009)
Epoch: [10][5900/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.8455 (2.7895)	Prec@1 29.688 (33.662)	Prec@5 67.188 (64.008)
Epoch: [10][5910/14090]	Time 0.839 (0.765)	Data 0.001 (0.001)	Loss 2.7303 (2.7894)	Prec@1 35.938 (33.660)	Prec@5 67.188 (64.010)
Epoch: [10][5920/14090]	Time 0.772 (0.765)	Data 0.001 (0.001)	Loss 2.8850 (2.7893)	Prec@1 34.375 (33.664)	Prec@5 60.156 (64.012)
Epoch: [10][5930/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.7550 (2.7894)	Prec@1 41.406 (33.664)	Prec@5 64.062 (64.008)
Epoch: [10][5940/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 3.0067 (2.7895)	Prec@1 30.469 (33.665)	Prec@5 64.062 (64.009)
Epoch: [10][5950/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.8375 (2.7894)	Prec@1 35.156 (33.668)	Prec@5 61.719 (64.012)
Epoch: [10][5960/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.7431 (2.7893)	Prec@1 41.406 (33.668)	Prec@5 67.188 (64.012)
Epoch: [10][5970/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.7193 (2.7894)	Prec@1 30.469 (33.668)	Prec@5 65.625 (64.010)
Epoch: [10][5980/14090]	Time 0.886 (0.765)	Data 0.001 (0.001)	Loss 2.7121 (2.7894)	Prec@1 37.500 (33.667)	Prec@5 63.281 (64.006)
Epoch: [10][5990/14090]	Time 0.753 (0.765)	Data 0.003 (0.001)	Loss 3.1315 (2.7894)	Prec@1 25.000 (33.668)	Prec@5 56.250 (64.008)
Epoch: [10][6000/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 3.0264 (2.7897)	Prec@1 29.688 (33.662)	Prec@5 61.719 (64.002)
Epoch: [10][6010/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.8775 (2.7896)	Prec@1 32.812 (33.666)	Prec@5 66.406 (64.004)
Epoch: [10][6020/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.9496 (2.7896)	Prec@1 35.938 (33.665)	Prec@5 62.500 (64.002)
Epoch: [10][6030/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.8367 (2.7895)	Prec@1 32.812 (33.668)	Prec@5 60.156 (64.004)
Epoch: [10][6040/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 3.0130 (2.7897)	Prec@1 30.469 (33.664)	Prec@5 57.812 (64.002)
Epoch: [10][6050/14090]	Time 0.928 (0.765)	Data 0.001 (0.001)	Loss 2.4807 (2.7896)	Prec@1 36.719 (33.665)	Prec@5 69.531 (64.005)
Epoch: [10][6060/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 2.8156 (2.7894)	Prec@1 34.375 (33.665)	Prec@5 65.625 (64.009)
Epoch: [10][6070/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.7450 (2.7893)	Prec@1 35.156 (33.667)	Prec@5 63.281 (64.011)
Epoch: [10][6080/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.8863 (2.7894)	Prec@1 33.594 (33.667)	Prec@5 64.062 (64.010)
Epoch: [10][6090/14090]	Time 0.772 (0.765)	Data 0.001 (0.001)	Loss 2.8241 (2.7894)	Prec@1 39.844 (33.669)	Prec@5 64.062 (64.008)
Epoch: [10][6100/14090]	Time 0.766 (0.765)	Data 0.001 (0.001)	Loss 2.8645 (2.7893)	Prec@1 30.469 (33.671)	Prec@5 65.625 (64.010)
Epoch: [10][6110/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 3.0623 (2.7893)	Prec@1 29.688 (33.674)	Prec@5 57.812 (64.013)
Epoch: [10][6120/14090]	Time 0.861 (0.765)	Data 0.001 (0.001)	Loss 3.1656 (2.7893)	Prec@1 22.656 (33.673)	Prec@5 55.469 (64.011)
Epoch: [10][6130/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.7867 (2.7893)	Prec@1 31.250 (33.673)	Prec@5 66.406 (64.012)
Epoch: [10][6140/14090]	Time 0.779 (0.765)	Data 0.001 (0.001)	Loss 2.5969 (2.7891)	Prec@1 36.719 (33.674)	Prec@5 65.625 (64.015)
Epoch: [10][6150/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.6215 (2.7890)	Prec@1 39.844 (33.677)	Prec@5 69.531 (64.021)
Epoch: [10][6160/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.7393 (2.7889)	Prec@1 33.594 (33.679)	Prec@5 64.844 (64.023)
Epoch: [10][6170/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.9138 (2.7889)	Prec@1 28.906 (33.677)	Prec@5 62.500 (64.020)
Epoch: [10][6180/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 3.0308 (2.7890)	Prec@1 26.562 (33.674)	Prec@5 59.375 (64.019)
Epoch: [10][6190/14090]	Time 0.873 (0.765)	Data 0.001 (0.001)	Loss 2.6691 (2.7891)	Prec@1 39.844 (33.674)	Prec@5 65.625 (64.017)
Epoch: [10][6200/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.7644 (2.7891)	Prec@1 37.500 (33.677)	Prec@5 64.062 (64.016)
Epoch: [10][6210/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.6199 (2.7891)	Prec@1 35.156 (33.675)	Prec@5 68.750 (64.018)
Epoch: [10][6220/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 2.7963 (2.7891)	Prec@1 33.594 (33.675)	Prec@5 62.500 (64.018)
Epoch: [10][6230/14090]	Time 0.733 (0.765)	Data 0.003 (0.001)	Loss 2.7984 (2.7890)	Prec@1 37.500 (33.676)	Prec@5 65.625 (64.016)
Epoch: [10][6240/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.7078 (2.7889)	Prec@1 33.594 (33.681)	Prec@5 64.062 (64.018)
Epoch: [10][6250/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.9976 (2.7889)	Prec@1 28.906 (33.681)	Prec@5 57.031 (64.017)
Epoch: [10][6260/14090]	Time 0.842 (0.765)	Data 0.001 (0.001)	Loss 2.8390 (2.7888)	Prec@1 34.375 (33.685)	Prec@5 64.062 (64.020)
Epoch: [10][6270/14090]	Time 0.722 (0.765)	Data 0.001 (0.001)	Loss 2.8949 (2.7889)	Prec@1 31.250 (33.683)	Prec@5 62.500 (64.019)
Epoch: [10][6280/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.6282 (2.7888)	Prec@1 34.375 (33.684)	Prec@5 67.969 (64.020)
Epoch: [10][6290/14090]	Time 0.787 (0.765)	Data 0.001 (0.001)	Loss 3.0860 (2.7887)	Prec@1 27.344 (33.686)	Prec@5 58.594 (64.020)
Epoch: [10][6300/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.7671 (2.7887)	Prec@1 36.719 (33.684)	Prec@5 62.500 (64.019)
Epoch: [10][6310/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.5910 (2.7887)	Prec@1 32.031 (33.684)	Prec@5 75.781 (64.020)
Epoch: [10][6320/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.7847 (2.7888)	Prec@1 36.719 (33.684)	Prec@5 59.375 (64.018)
Epoch: [10][6330/14090]	Time 0.872 (0.765)	Data 0.001 (0.001)	Loss 2.6245 (2.7886)	Prec@1 35.156 (33.689)	Prec@5 67.969 (64.023)
Epoch: [10][6340/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.6968 (2.7885)	Prec@1 35.938 (33.691)	Prec@5 66.406 (64.024)
Epoch: [10][6350/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.9328 (2.7886)	Prec@1 30.469 (33.690)	Prec@5 63.281 (64.025)
Epoch: [10][6360/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.7271 (2.7886)	Prec@1 32.812 (33.689)	Prec@5 62.500 (64.024)
Epoch: [10][6370/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.8076 (2.7886)	Prec@1 31.250 (33.691)	Prec@5 66.406 (64.025)
Epoch: [10][6380/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.8042 (2.7884)	Prec@1 30.469 (33.694)	Prec@5 62.500 (64.025)
Epoch: [10][6390/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.8950 (2.7885)	Prec@1 28.906 (33.693)	Prec@5 60.156 (64.025)
Epoch: [10][6400/14090]	Time 0.860 (0.765)	Data 0.001 (0.001)	Loss 2.8523 (2.7885)	Prec@1 29.688 (33.692)	Prec@5 62.500 (64.022)
Epoch: [10][6410/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.6655 (2.7886)	Prec@1 35.938 (33.693)	Prec@5 65.625 (64.020)
Epoch: [10][6420/14090]	Time 0.767 (0.765)	Data 0.001 (0.001)	Loss 3.0281 (2.7885)	Prec@1 32.812 (33.694)	Prec@5 60.156 (64.023)
Epoch: [10][6430/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.6620 (2.7884)	Prec@1 37.500 (33.695)	Prec@5 64.844 (64.024)
Epoch: [10][6440/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 3.2051 (2.7885)	Prec@1 28.125 (33.694)	Prec@5 60.938 (64.020)
Epoch: [10][6450/14090]	Time 0.722 (0.765)	Data 0.001 (0.001)	Loss 2.7599 (2.7884)	Prec@1 32.031 (33.696)	Prec@5 66.406 (64.024)
Epoch: [10][6460/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.9319 (2.7885)	Prec@1 26.562 (33.697)	Prec@5 59.375 (64.022)
Epoch: [10][6470/14090]	Time 0.822 (0.765)	Data 0.001 (0.001)	Loss 3.0770 (2.7886)	Prec@1 32.031 (33.695)	Prec@5 56.250 (64.020)
Epoch: [10][6480/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.8010 (2.7887)	Prec@1 39.062 (33.695)	Prec@5 61.719 (64.019)
Epoch: [10][6490/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.4650 (2.7886)	Prec@1 39.844 (33.696)	Prec@5 69.531 (64.022)
Epoch: [10][6500/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.9480 (2.7885)	Prec@1 27.344 (33.695)	Prec@5 60.938 (64.025)
Epoch: [10][6510/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.6708 (2.7885)	Prec@1 35.156 (33.695)	Prec@5 64.844 (64.025)
Epoch: [10][6520/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.6073 (2.7885)	Prec@1 35.156 (33.693)	Prec@5 68.750 (64.024)
Epoch: [10][6530/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 3.0195 (2.7886)	Prec@1 32.812 (33.693)	Prec@5 63.281 (64.022)
Epoch: [10][6540/14090]	Time 0.850 (0.765)	Data 0.001 (0.001)	Loss 2.6688 (2.7887)	Prec@1 39.062 (33.691)	Prec@5 64.062 (64.021)
Epoch: [10][6550/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.9114 (2.7887)	Prec@1 32.812 (33.692)	Prec@5 67.969 (64.022)
Epoch: [10][6560/14090]	Time 0.776 (0.765)	Data 0.001 (0.001)	Loss 2.7563 (2.7885)	Prec@1 34.375 (33.696)	Prec@5 63.281 (64.025)
Epoch: [10][6570/14090]	Time 0.779 (0.765)	Data 0.001 (0.001)	Loss 2.7093 (2.7886)	Prec@1 34.375 (33.693)	Prec@5 68.750 (64.024)
Epoch: [10][6580/14090]	Time 0.720 (0.765)	Data 0.001 (0.001)	Loss 2.7967 (2.7886)	Prec@1 36.719 (33.693)	Prec@5 62.500 (64.024)
Epoch: [10][6590/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.7555 (2.7886)	Prec@1 32.031 (33.692)	Prec@5 64.062 (64.023)
Epoch: [10][6600/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.6758 (2.7887)	Prec@1 31.250 (33.690)	Prec@5 64.062 (64.023)
Epoch: [10][6610/14090]	Time 0.834 (0.765)	Data 0.001 (0.001)	Loss 2.6338 (2.7886)	Prec@1 42.188 (33.691)	Prec@5 65.625 (64.026)
Epoch: [10][6620/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.9467 (2.7884)	Prec@1 32.031 (33.694)	Prec@5 60.156 (64.028)
Epoch: [10][6630/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.7245 (2.7885)	Prec@1 46.094 (33.696)	Prec@5 65.625 (64.028)
Epoch: [10][6640/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.9830 (2.7886)	Prec@1 28.906 (33.692)	Prec@5 60.938 (64.026)
Epoch: [10][6650/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 2.9322 (2.7886)	Prec@1 32.812 (33.691)	Prec@5 62.500 (64.026)
Epoch: [10][6660/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.7897 (2.7886)	Prec@1 35.156 (33.693)	Prec@5 62.500 (64.028)
Epoch: [10][6670/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.8937 (2.7885)	Prec@1 32.031 (33.695)	Prec@5 64.844 (64.030)
Epoch: [10][6680/14090]	Time 0.829 (0.765)	Data 0.001 (0.001)	Loss 2.6427 (2.7884)	Prec@1 33.594 (33.695)	Prec@5 64.062 (64.030)
Epoch: [10][6690/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.3851 (2.7885)	Prec@1 42.969 (33.695)	Prec@5 71.094 (64.030)
Epoch: [10][6700/14090]	Time 0.778 (0.765)	Data 0.001 (0.001)	Loss 2.5278 (2.7885)	Prec@1 37.500 (33.696)	Prec@5 71.875 (64.032)
Epoch: [10][6710/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 2.7520 (2.7885)	Prec@1 35.938 (33.694)	Prec@5 65.625 (64.029)
Epoch: [10][6720/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.7485 (2.7886)	Prec@1 35.938 (33.692)	Prec@5 64.062 (64.026)
Epoch: [10][6730/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.6868 (2.7886)	Prec@1 34.375 (33.691)	Prec@5 67.188 (64.026)
Epoch: [10][6740/14090]	Time 0.777 (0.765)	Data 0.001 (0.001)	Loss 2.6745 (2.7885)	Prec@1 35.156 (33.691)	Prec@5 69.531 (64.029)
Epoch: [10][6750/14090]	Time 0.905 (0.765)	Data 0.001 (0.001)	Loss 2.6795 (2.7885)	Prec@1 32.812 (33.691)	Prec@5 64.062 (64.028)
Epoch: [10][6760/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.9908 (2.7885)	Prec@1 34.375 (33.691)	Prec@5 65.625 (64.028)
Epoch: [10][6770/14090]	Time 0.769 (0.765)	Data 0.001 (0.001)	Loss 2.5061 (2.7885)	Prec@1 41.406 (33.692)	Prec@5 69.531 (64.030)
Epoch: [10][6780/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.7540 (2.7885)	Prec@1 33.594 (33.692)	Prec@5 60.938 (64.031)
Epoch: [10][6790/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 2.6601 (2.7885)	Prec@1 36.719 (33.693)	Prec@5 67.188 (64.032)
Epoch: [10][6800/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 3.0592 (2.7886)	Prec@1 25.000 (33.690)	Prec@5 55.469 (64.031)
Epoch: [10][6810/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.6417 (2.7886)	Prec@1 35.938 (33.689)	Prec@5 64.844 (64.031)
Epoch: [10][6820/14090]	Time 0.850 (0.765)	Data 0.001 (0.001)	Loss 2.8645 (2.7886)	Prec@1 33.594 (33.691)	Prec@5 64.062 (64.030)
Epoch: [10][6830/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.6783 (2.7886)	Prec@1 30.469 (33.691)	Prec@5 65.625 (64.028)
Epoch: [10][6840/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 2.6972 (2.7887)	Prec@1 28.125 (33.687)	Prec@5 67.188 (64.026)
Epoch: [10][6850/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 3.0465 (2.7887)	Prec@1 28.906 (33.687)	Prec@5 56.250 (64.026)
Epoch: [10][6860/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.7823 (2.7886)	Prec@1 33.594 (33.689)	Prec@5 60.938 (64.029)
Epoch: [10][6870/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.3384 (2.7885)	Prec@1 42.969 (33.689)	Prec@5 70.312 (64.031)
Epoch: [10][6880/14090]	Time 0.768 (0.765)	Data 0.001 (0.001)	Loss 2.8270 (2.7886)	Prec@1 32.031 (33.691)	Prec@5 60.156 (64.029)
Epoch: [10][6890/14090]	Time 0.887 (0.765)	Data 0.001 (0.001)	Loss 3.0415 (2.7885)	Prec@1 32.031 (33.693)	Prec@5 59.375 (64.033)
Epoch: [10][6900/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.8188 (2.7885)	Prec@1 35.156 (33.695)	Prec@5 60.938 (64.032)
Epoch: [10][6910/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.6291 (2.7885)	Prec@1 36.719 (33.697)	Prec@5 64.844 (64.031)
Epoch: [10][6920/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.9680 (2.7886)	Prec@1 30.469 (33.695)	Prec@5 54.688 (64.028)
Epoch: [10][6930/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.7567 (2.7885)	Prec@1 34.375 (33.695)	Prec@5 64.844 (64.030)
Epoch: [10][6940/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.8045 (2.7885)	Prec@1 36.719 (33.695)	Prec@5 61.719 (64.030)
Epoch: [10][6950/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.6655 (2.7885)	Prec@1 32.812 (33.693)	Prec@5 64.062 (64.030)
Epoch: [10][6960/14090]	Time 0.844 (0.765)	Data 0.001 (0.001)	Loss 2.6737 (2.7886)	Prec@1 30.469 (33.690)	Prec@5 66.406 (64.028)
Epoch: [10][6970/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 3.0453 (2.7888)	Prec@1 27.344 (33.690)	Prec@5 60.156 (64.027)
Epoch: [10][6980/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.5956 (2.7888)	Prec@1 41.406 (33.691)	Prec@5 65.625 (64.027)
Epoch: [10][6990/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.8022 (2.7887)	Prec@1 30.469 (33.694)	Prec@5 60.156 (64.029)
Epoch: [10][7000/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.6815 (2.7887)	Prec@1 30.469 (33.695)	Prec@5 70.312 (64.029)
Epoch: [10][7010/14090]	Time 0.764 (0.765)	Data 0.002 (0.001)	Loss 2.5918 (2.7886)	Prec@1 42.969 (33.698)	Prec@5 64.844 (64.030)
Epoch: [10][7020/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.8131 (2.7885)	Prec@1 34.375 (33.698)	Prec@5 65.625 (64.033)
Epoch: [10][7030/14090]	Time 0.857 (0.765)	Data 0.001 (0.001)	Loss 2.8522 (2.7885)	Prec@1 35.156 (33.698)	Prec@5 64.844 (64.032)
Epoch: [10][7040/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.9061 (2.7887)	Prec@1 31.250 (33.695)	Prec@5 65.625 (64.030)
Epoch: [10][7050/14090]	Time 0.776 (0.765)	Data 0.001 (0.001)	Loss 2.6610 (2.7887)	Prec@1 36.719 (33.693)	Prec@5 67.969 (64.029)
Epoch: [10][7060/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.9830 (2.7888)	Prec@1 28.906 (33.692)	Prec@5 57.812 (64.027)
Epoch: [10][7070/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.7498 (2.7887)	Prec@1 32.031 (33.695)	Prec@5 63.281 (64.029)
Epoch: [10][7080/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.8525 (2.7888)	Prec@1 32.031 (33.695)	Prec@5 60.156 (64.028)
Epoch: [10][7090/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.7530 (2.7887)	Prec@1 35.156 (33.697)	Prec@5 68.750 (64.030)
Epoch: [10][7100/14090]	Time 0.869 (0.765)	Data 0.001 (0.001)	Loss 2.7485 (2.7886)	Prec@1 36.719 (33.700)	Prec@5 69.531 (64.032)
Epoch: [10][7110/14090]	Time 0.773 (0.765)	Data 0.001 (0.001)	Loss 2.6623 (2.7886)	Prec@1 31.250 (33.698)	Prec@5 67.188 (64.034)
Epoch: [10][7120/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.7398 (2.7886)	Prec@1 33.594 (33.698)	Prec@5 62.500 (64.032)
Epoch: [10][7130/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.8474 (2.7888)	Prec@1 30.469 (33.694)	Prec@5 58.594 (64.027)
Epoch: [10][7140/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.6385 (2.7888)	Prec@1 35.938 (33.694)	Prec@5 67.969 (64.028)
Epoch: [10][7150/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.7568 (2.7890)	Prec@1 35.156 (33.689)	Prec@5 64.062 (64.024)
Epoch: [10][7160/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 2.5849 (2.7890)	Prec@1 39.062 (33.687)	Prec@5 70.312 (64.023)
Epoch: [10][7170/14090]	Time 0.867 (0.765)	Data 0.001 (0.001)	Loss 2.6223 (2.7891)	Prec@1 37.500 (33.688)	Prec@5 66.406 (64.022)
Epoch: [10][7180/14090]	Time 0.768 (0.765)	Data 0.001 (0.001)	Loss 2.6359 (2.7889)	Prec@1 37.500 (33.692)	Prec@5 71.094 (64.026)
Epoch: [10][7190/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 2.6851 (2.7888)	Prec@1 32.031 (33.696)	Prec@5 62.500 (64.025)
Epoch: [10][7200/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.9410 (2.7888)	Prec@1 32.812 (33.696)	Prec@5 61.719 (64.025)
Epoch: [10][7210/14090]	Time 0.772 (0.765)	Data 0.002 (0.001)	Loss 2.6450 (2.7889)	Prec@1 35.938 (33.695)	Prec@5 68.750 (64.024)
Epoch: [10][7220/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.8645 (2.7889)	Prec@1 33.594 (33.695)	Prec@5 63.281 (64.022)
Epoch: [10][7230/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.4480 (2.7889)	Prec@1 46.094 (33.696)	Prec@5 71.875 (64.021)
Epoch: [10][7240/14090]	Time 0.844 (0.765)	Data 0.001 (0.001)	Loss 2.8281 (2.7890)	Prec@1 32.812 (33.695)	Prec@5 62.500 (64.020)
Epoch: [10][7250/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.7062 (2.7890)	Prec@1 35.938 (33.696)	Prec@5 64.844 (64.019)
Epoch: [10][7260/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.5459 (2.7889)	Prec@1 33.594 (33.697)	Prec@5 67.188 (64.020)
Epoch: [10][7270/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.6997 (2.7889)	Prec@1 33.594 (33.695)	Prec@5 63.281 (64.018)
Epoch: [10][7280/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.8388 (2.7890)	Prec@1 32.812 (33.697)	Prec@5 66.406 (64.018)
Epoch: [10][7290/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.8495 (2.7890)	Prec@1 32.031 (33.696)	Prec@5 67.969 (64.020)
Epoch: [10][7300/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.8786 (2.7891)	Prec@1 33.594 (33.695)	Prec@5 64.844 (64.016)
Epoch: [10][7310/14090]	Time 0.863 (0.765)	Data 0.001 (0.001)	Loss 2.9083 (2.7892)	Prec@1 30.469 (33.693)	Prec@5 63.281 (64.015)
Epoch: [10][7320/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.9646 (2.7893)	Prec@1 35.938 (33.693)	Prec@5 62.500 (64.014)
Epoch: [10][7330/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.9813 (2.7894)	Prec@1 34.375 (33.691)	Prec@5 60.156 (64.013)
Epoch: [10][7340/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.7028 (2.7894)	Prec@1 33.594 (33.692)	Prec@5 61.719 (64.012)
Epoch: [10][7350/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.5406 (2.7895)	Prec@1 30.469 (33.688)	Prec@5 69.531 (64.011)
Epoch: [10][7360/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.6173 (2.7894)	Prec@1 35.938 (33.691)	Prec@5 67.969 (64.012)
Epoch: [10][7370/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.5424 (2.7894)	Prec@1 34.375 (33.691)	Prec@5 65.625 (64.012)
Epoch: [10][7380/14090]	Time 0.875 (0.765)	Data 0.001 (0.001)	Loss 3.0992 (2.7894)	Prec@1 25.000 (33.689)	Prec@5 57.812 (64.011)
Epoch: [10][7390/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.4093 (2.7895)	Prec@1 42.188 (33.690)	Prec@5 70.312 (64.011)
Epoch: [10][7400/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.9650 (2.7894)	Prec@1 35.156 (33.694)	Prec@5 61.719 (64.012)
Epoch: [10][7410/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.5298 (2.7895)	Prec@1 35.156 (33.693)	Prec@5 70.312 (64.013)
Epoch: [10][7420/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 3.1224 (2.7895)	Prec@1 30.469 (33.693)	Prec@5 58.594 (64.014)
Epoch: [10][7430/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.6464 (2.7896)	Prec@1 30.469 (33.692)	Prec@5 66.406 (64.013)
Epoch: [10][7440/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.7397 (2.7895)	Prec@1 33.594 (33.693)	Prec@5 60.938 (64.012)
Epoch: [10][7450/14090]	Time 0.867 (0.765)	Data 0.001 (0.001)	Loss 2.7804 (2.7894)	Prec@1 34.375 (33.694)	Prec@5 68.750 (64.013)
Epoch: [10][7460/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.7144 (2.7893)	Prec@1 37.500 (33.696)	Prec@5 68.750 (64.016)
Epoch: [10][7470/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.6781 (2.7894)	Prec@1 35.938 (33.694)	Prec@5 63.281 (64.015)
Epoch: [10][7480/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.7580 (2.7893)	Prec@1 32.812 (33.694)	Prec@5 61.719 (64.016)
Epoch: [10][7490/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.8055 (2.7893)	Prec@1 32.031 (33.695)	Prec@5 60.156 (64.016)
Epoch: [10][7500/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.8251 (2.7893)	Prec@1 39.062 (33.697)	Prec@5 64.062 (64.016)
Epoch: [10][7510/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.7898 (2.7893)	Prec@1 35.938 (33.695)	Prec@5 63.281 (64.016)
Epoch: [10][7520/14090]	Time 0.860 (0.765)	Data 0.001 (0.001)	Loss 2.6650 (2.7892)	Prec@1 36.719 (33.696)	Prec@5 68.750 (64.017)
Epoch: [10][7530/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.7434 (2.7892)	Prec@1 36.719 (33.696)	Prec@5 62.500 (64.016)
Epoch: [10][7540/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.9463 (2.7893)	Prec@1 38.281 (33.695)	Prec@5 60.938 (64.015)
Epoch: [10][7550/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.6661 (2.7893)	Prec@1 35.938 (33.696)	Prec@5 67.188 (64.015)
Epoch: [10][7560/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.9347 (2.7893)	Prec@1 23.438 (33.692)	Prec@5 60.938 (64.015)
Epoch: [10][7570/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.8930 (2.7892)	Prec@1 35.156 (33.694)	Prec@5 65.625 (64.017)
Epoch: [10][7580/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 2.6019 (2.7892)	Prec@1 35.938 (33.693)	Prec@5 67.969 (64.017)
Epoch: [10][7590/14090]	Time 0.876 (0.765)	Data 0.001 (0.001)	Loss 2.5439 (2.7892)	Prec@1 36.719 (33.694)	Prec@5 71.875 (64.018)
Epoch: [10][7600/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.9601 (2.7892)	Prec@1 23.438 (33.691)	Prec@5 58.594 (64.015)
Epoch: [10][7610/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.7508 (2.7892)	Prec@1 32.031 (33.692)	Prec@5 65.625 (64.017)
Epoch: [10][7620/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 3.0462 (2.7892)	Prec@1 30.469 (33.691)	Prec@5 58.594 (64.017)
Epoch: [10][7630/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.9763 (2.7893)	Prec@1 34.375 (33.692)	Prec@5 63.281 (64.015)
Epoch: [10][7640/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.8527 (2.7894)	Prec@1 32.031 (33.692)	Prec@5 67.188 (64.015)
Epoch: [10][7650/14090]	Time 0.721 (0.765)	Data 0.001 (0.001)	Loss 2.9287 (2.7893)	Prec@1 25.781 (33.692)	Prec@5 57.812 (64.014)
Epoch: [10][7660/14090]	Time 0.922 (0.765)	Data 0.001 (0.001)	Loss 2.7145 (2.7893)	Prec@1 33.594 (33.694)	Prec@5 64.844 (64.014)
Epoch: [10][7670/14090]	Time 0.772 (0.765)	Data 0.001 (0.001)	Loss 2.9210 (2.7894)	Prec@1 28.906 (33.692)	Prec@5 63.281 (64.014)
Epoch: [10][7680/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.7552 (2.7894)	Prec@1 35.938 (33.691)	Prec@5 64.062 (64.014)
Epoch: [10][7690/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.7251 (2.7896)	Prec@1 35.156 (33.686)	Prec@5 64.844 (64.010)
Epoch: [10][7700/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.8965 (2.7897)	Prec@1 35.938 (33.686)	Prec@5 61.719 (64.007)
Epoch: [10][7710/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 2.8481 (2.7895)	Prec@1 36.719 (33.689)	Prec@5 63.281 (64.011)
Epoch: [10][7720/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.8261 (2.7895)	Prec@1 37.500 (33.688)	Prec@5 64.062 (64.011)
Epoch: [10][7730/14090]	Time 0.875 (0.765)	Data 0.001 (0.001)	Loss 2.8956 (2.7896)	Prec@1 30.469 (33.686)	Prec@5 58.594 (64.012)
Epoch: [10][7740/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.6427 (2.7897)	Prec@1 41.406 (33.684)	Prec@5 65.625 (64.009)
Epoch: [10][7750/14090]	Time 0.755 (0.765)	Data 0.002 (0.001)	Loss 2.6104 (2.7898)	Prec@1 34.375 (33.684)	Prec@5 67.969 (64.009)
Epoch: [10][7760/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.7861 (2.7897)	Prec@1 37.500 (33.686)	Prec@5 64.844 (64.011)
Epoch: [10][7770/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.7778 (2.7898)	Prec@1 36.719 (33.684)	Prec@5 62.500 (64.010)
Epoch: [10][7780/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.9843 (2.7899)	Prec@1 25.000 (33.683)	Prec@5 63.281 (64.009)
Epoch: [10][7790/14090]	Time 0.771 (0.765)	Data 0.002 (0.001)	Loss 2.5405 (2.7898)	Prec@1 35.156 (33.684)	Prec@5 70.312 (64.013)
Epoch: [10][7800/14090]	Time 0.998 (0.765)	Data 0.001 (0.001)	Loss 2.8489 (2.7898)	Prec@1 34.375 (33.686)	Prec@5 64.062 (64.012)
Epoch: [10][7810/14090]	Time 0.766 (0.765)	Data 0.001 (0.001)	Loss 2.6396 (2.7898)	Prec@1 35.156 (33.685)	Prec@5 68.750 (64.013)
Epoch: [10][7820/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.7513 (2.7898)	Prec@1 38.281 (33.685)	Prec@5 64.062 (64.015)
Epoch: [10][7830/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.6437 (2.7897)	Prec@1 35.156 (33.687)	Prec@5 64.844 (64.018)
Epoch: [10][7840/14090]	Time 0.776 (0.765)	Data 0.001 (0.001)	Loss 2.6235 (2.7896)	Prec@1 38.281 (33.686)	Prec@5 69.531 (64.017)
Epoch: [10][7850/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.6795 (2.7895)	Prec@1 35.156 (33.690)	Prec@5 69.531 (64.019)
Epoch: [10][7860/14090]	Time 0.773 (0.765)	Data 0.001 (0.001)	Loss 3.1716 (2.7896)	Prec@1 25.000 (33.689)	Prec@5 56.250 (64.017)
Epoch: [10][7870/14090]	Time 0.843 (0.765)	Data 0.001 (0.001)	Loss 2.6440 (2.7896)	Prec@1 35.156 (33.690)	Prec@5 64.844 (64.017)
Epoch: [10][7880/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.7737 (2.7895)	Prec@1 35.938 (33.691)	Prec@5 61.719 (64.020)
Epoch: [10][7890/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.7745 (2.7894)	Prec@1 32.031 (33.691)	Prec@5 66.406 (64.021)
Epoch: [10][7900/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.7000 (2.7894)	Prec@1 37.500 (33.692)	Prec@5 63.281 (64.021)
Epoch: [10][7910/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.7850 (2.7895)	Prec@1 28.906 (33.692)	Prec@5 64.062 (64.020)
Epoch: [10][7920/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 2.7090 (2.7895)	Prec@1 32.031 (33.692)	Prec@5 67.188 (64.020)
Epoch: [10][7930/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.9527 (2.7896)	Prec@1 31.250 (33.691)	Prec@5 63.281 (64.020)
Epoch: [10][7940/14090]	Time 0.874 (0.765)	Data 0.001 (0.001)	Loss 2.5929 (2.7896)	Prec@1 38.281 (33.690)	Prec@5 66.406 (64.017)
Epoch: [10][7950/14090]	Time 0.768 (0.765)	Data 0.001 (0.001)	Loss 2.5551 (2.7895)	Prec@1 34.375 (33.689)	Prec@5 66.406 (64.020)
Epoch: [10][7960/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.8084 (2.7895)	Prec@1 35.938 (33.690)	Prec@5 68.750 (64.020)
Epoch: [10][7970/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.8267 (2.7895)	Prec@1 29.688 (33.689)	Prec@5 66.406 (64.021)
Epoch: [10][7980/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 2.8712 (2.7895)	Prec@1 28.125 (33.688)	Prec@5 64.844 (64.022)
Epoch: [10][7990/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.5292 (2.7893)	Prec@1 40.625 (33.690)	Prec@5 67.969 (64.025)
Epoch: [10][8000/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.7720 (2.7894)	Prec@1 36.719 (33.689)	Prec@5 65.625 (64.024)
Epoch: [10][8010/14090]	Time 0.885 (0.765)	Data 0.001 (0.001)	Loss 2.9784 (2.7892)	Prec@1 28.125 (33.693)	Prec@5 57.812 (64.023)
Epoch: [10][8020/14090]	Time 0.791 (0.765)	Data 0.001 (0.001)	Loss 2.9107 (2.7892)	Prec@1 29.688 (33.693)	Prec@5 60.156 (64.024)
Epoch: [10][8030/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.6886 (2.7893)	Prec@1 39.062 (33.692)	Prec@5 64.062 (64.022)
Epoch: [10][8040/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.8182 (2.7892)	Prec@1 35.156 (33.695)	Prec@5 64.844 (64.022)
Epoch: [10][8050/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.6226 (2.7892)	Prec@1 38.281 (33.695)	Prec@5 67.188 (64.022)
Epoch: [10][8060/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.6947 (2.7892)	Prec@1 31.250 (33.697)	Prec@5 64.844 (64.024)
Epoch: [10][8070/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.6484 (2.7891)	Prec@1 37.500 (33.697)	Prec@5 64.062 (64.025)
Epoch: [10][8080/14090]	Time 0.896 (0.765)	Data 0.001 (0.001)	Loss 2.8784 (2.7892)	Prec@1 34.375 (33.697)	Prec@5 64.844 (64.022)
Epoch: [10][8090/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.5897 (2.7891)	Prec@1 35.156 (33.697)	Prec@5 64.844 (64.022)
Epoch: [10][8100/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.7165 (2.7891)	Prec@1 40.625 (33.697)	Prec@5 67.969 (64.026)
Epoch: [10][8110/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.8933 (2.7892)	Prec@1 32.812 (33.694)	Prec@5 62.500 (64.022)
Epoch: [10][8120/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.5684 (2.7890)	Prec@1 37.500 (33.699)	Prec@5 68.750 (64.025)
Epoch: [10][8130/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.8187 (2.7890)	Prec@1 33.594 (33.699)	Prec@5 60.938 (64.025)
Epoch: [10][8140/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.6649 (2.7890)	Prec@1 36.719 (33.700)	Prec@5 67.969 (64.026)
Epoch: [10][8150/14090]	Time 0.851 (0.765)	Data 0.001 (0.001)	Loss 3.2458 (2.7890)	Prec@1 27.344 (33.699)	Prec@5 56.250 (64.026)
Epoch: [10][8160/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.9450 (2.7890)	Prec@1 32.812 (33.701)	Prec@5 56.250 (64.027)
Epoch: [10][8170/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 3.0066 (2.7890)	Prec@1 26.562 (33.700)	Prec@5 56.250 (64.025)
Epoch: [10][8180/14090]	Time 0.768 (0.765)	Data 0.001 (0.001)	Loss 2.6681 (2.7890)	Prec@1 36.719 (33.701)	Prec@5 64.062 (64.025)
Epoch: [10][8190/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.8770 (2.7890)	Prec@1 32.812 (33.698)	Prec@5 60.938 (64.023)
Epoch: [10][8200/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.7275 (2.7890)	Prec@1 35.156 (33.698)	Prec@5 69.531 (64.023)
Epoch: [10][8210/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.6537 (2.7890)	Prec@1 33.594 (33.698)	Prec@5 67.969 (64.024)
Epoch: [10][8220/14090]	Time 0.886 (0.765)	Data 0.001 (0.001)	Loss 2.7793 (2.7890)	Prec@1 28.906 (33.698)	Prec@5 59.375 (64.024)
Epoch: [10][8230/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 2.8435 (2.7890)	Prec@1 30.469 (33.699)	Prec@5 63.281 (64.023)
Epoch: [10][8240/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.6500 (2.7890)	Prec@1 35.938 (33.700)	Prec@5 65.625 (64.022)
Epoch: [10][8250/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 3.0152 (2.7889)	Prec@1 33.594 (33.700)	Prec@5 54.688 (64.022)
Epoch: [10][8260/14090]	Time 0.751 (0.765)	Data 0.003 (0.001)	Loss 2.9329 (2.7888)	Prec@1 35.156 (33.704)	Prec@5 60.156 (64.024)
Epoch: [10][8270/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 3.0617 (2.7888)	Prec@1 30.469 (33.703)	Prec@5 58.594 (64.025)
Epoch: [10][8280/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.6333 (2.7888)	Prec@1 38.281 (33.703)	Prec@5 67.969 (64.024)
Epoch: [10][8290/14090]	Time 0.870 (0.765)	Data 0.001 (0.001)	Loss 2.6124 (2.7888)	Prec@1 29.688 (33.702)	Prec@5 64.062 (64.024)
Epoch: [10][8300/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.7317 (2.7889)	Prec@1 39.844 (33.700)	Prec@5 65.625 (64.023)
Epoch: [10][8310/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.8698 (2.7889)	Prec@1 35.938 (33.702)	Prec@5 60.938 (64.022)
Epoch: [10][8320/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.7721 (2.7889)	Prec@1 33.594 (33.705)	Prec@5 66.406 (64.022)
Epoch: [10][8330/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.9050 (2.7889)	Prec@1 30.469 (33.704)	Prec@5 60.938 (64.022)
Epoch: [10][8340/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.6879 (2.7890)	Prec@1 32.812 (33.701)	Prec@5 64.844 (64.018)
Epoch: [10][8350/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.4419 (2.7890)	Prec@1 44.531 (33.701)	Prec@5 68.750 (64.019)
Epoch: [10][8360/14090]	Time 0.848 (0.765)	Data 0.001 (0.001)	Loss 2.6605 (2.7889)	Prec@1 37.500 (33.701)	Prec@5 67.969 (64.023)
Epoch: [10][8370/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.6216 (2.7890)	Prec@1 33.594 (33.698)	Prec@5 64.844 (64.020)
Epoch: [10][8380/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.4567 (2.7891)	Prec@1 37.500 (33.696)	Prec@5 71.094 (64.021)
Epoch: [10][8390/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.4959 (2.7890)	Prec@1 39.844 (33.697)	Prec@5 71.875 (64.024)
Epoch: [10][8400/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.9999 (2.7890)	Prec@1 23.438 (33.696)	Prec@5 60.156 (64.025)
Epoch: [10][8410/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.4328 (2.7890)	Prec@1 41.406 (33.695)	Prec@5 70.312 (64.024)
Epoch: [10][8420/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 3.0680 (2.7891)	Prec@1 33.594 (33.694)	Prec@5 63.281 (64.023)
Epoch: [10][8430/14090]	Time 0.830 (0.765)	Data 0.001 (0.001)	Loss 2.7772 (2.7892)	Prec@1 35.156 (33.692)	Prec@5 61.719 (64.020)
Epoch: [10][8440/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 3.0337 (2.7892)	Prec@1 27.344 (33.694)	Prec@5 58.594 (64.018)
Epoch: [10][8450/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.6108 (2.7891)	Prec@1 34.375 (33.697)	Prec@5 66.406 (64.019)
Epoch: [10][8460/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.5556 (2.7890)	Prec@1 36.719 (33.696)	Prec@5 69.531 (64.021)
Epoch: [10][8470/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.9948 (2.7891)	Prec@1 36.719 (33.696)	Prec@5 60.938 (64.020)
Epoch: [10][8480/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.6159 (2.7891)	Prec@1 35.156 (33.695)	Prec@5 66.406 (64.020)
Epoch: [10][8490/14090]	Time 0.781 (0.765)	Data 0.001 (0.001)	Loss 2.6538 (2.7890)	Prec@1 32.812 (33.694)	Prec@5 65.625 (64.020)
Epoch: [10][8500/14090]	Time 0.840 (0.765)	Data 0.001 (0.001)	Loss 2.7145 (2.7889)	Prec@1 35.156 (33.696)	Prec@5 66.406 (64.022)
Epoch: [10][8510/14090]	Time 0.722 (0.765)	Data 0.001 (0.001)	Loss 2.8068 (2.7889)	Prec@1 30.469 (33.694)	Prec@5 60.938 (64.023)
Epoch: [10][8520/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 3.0283 (2.7888)	Prec@1 29.688 (33.695)	Prec@5 56.250 (64.025)
Epoch: [10][8530/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.8455 (2.7888)	Prec@1 28.125 (33.695)	Prec@5 63.281 (64.024)
Epoch: [10][8540/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 3.0663 (2.7889)	Prec@1 25.000 (33.695)	Prec@5 60.156 (64.023)
Epoch: [10][8550/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.6724 (2.7890)	Prec@1 39.844 (33.694)	Prec@5 64.844 (64.022)
Epoch: [10][8560/14090]	Time 0.767 (0.765)	Data 0.001 (0.001)	Loss 2.9236 (2.7890)	Prec@1 32.031 (33.693)	Prec@5 57.031 (64.021)
Epoch: [10][8570/14090]	Time 0.873 (0.765)	Data 0.001 (0.001)	Loss 2.8490 (2.7891)	Prec@1 31.250 (33.692)	Prec@5 63.281 (64.019)
Epoch: [10][8580/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.9029 (2.7891)	Prec@1 37.500 (33.693)	Prec@5 57.031 (64.018)
Epoch: [10][8590/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.5812 (2.7890)	Prec@1 35.938 (33.695)	Prec@5 68.750 (64.020)
Epoch: [10][8600/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.9840 (2.7890)	Prec@1 38.281 (33.697)	Prec@5 60.156 (64.020)
Epoch: [10][8610/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.4580 (2.7890)	Prec@1 38.281 (33.696)	Prec@5 71.875 (64.018)
Epoch: [10][8620/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.6702 (2.7889)	Prec@1 36.719 (33.697)	Prec@5 61.719 (64.020)
Epoch: [10][8630/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.9325 (2.7890)	Prec@1 35.156 (33.696)	Prec@5 59.375 (64.019)
Epoch: [10][8640/14090]	Time 0.853 (0.765)	Data 0.001 (0.001)	Loss 3.0038 (2.7890)	Prec@1 31.250 (33.697)	Prec@5 54.688 (64.016)
Epoch: [10][8650/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 3.0784 (2.7892)	Prec@1 30.469 (33.693)	Prec@5 56.250 (64.014)
Epoch: [10][8660/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.6742 (2.7891)	Prec@1 32.812 (33.694)	Prec@5 67.188 (64.016)
Epoch: [10][8670/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.6439 (2.7891)	Prec@1 46.094 (33.694)	Prec@5 67.188 (64.014)
Epoch: [10][8680/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 2.7381 (2.7891)	Prec@1 33.594 (33.692)	Prec@5 66.406 (64.014)
Epoch: [10][8690/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.7481 (2.7891)	Prec@1 35.938 (33.692)	Prec@5 69.531 (64.016)
Epoch: [10][8700/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.8791 (2.7891)	Prec@1 30.469 (33.692)	Prec@5 60.938 (64.014)
Epoch: [10][8710/14090]	Time 0.865 (0.765)	Data 0.001 (0.001)	Loss 3.0514 (2.7892)	Prec@1 28.125 (33.690)	Prec@5 58.594 (64.014)
Epoch: [10][8720/14090]	Time 0.722 (0.765)	Data 0.001 (0.001)	Loss 2.7142 (2.7892)	Prec@1 37.500 (33.692)	Prec@5 64.062 (64.014)
Epoch: [10][8730/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.8450 (2.7892)	Prec@1 28.906 (33.694)	Prec@5 60.156 (64.011)
Epoch: [10][8740/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.7675 (2.7892)	Prec@1 32.812 (33.693)	Prec@5 67.969 (64.012)
Epoch: [10][8750/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 3.0728 (2.7892)	Prec@1 28.125 (33.693)	Prec@5 59.375 (64.010)
Epoch: [10][8760/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 3.1470 (2.7893)	Prec@1 28.125 (33.692)	Prec@5 59.375 (64.010)
Epoch: [10][8770/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.5286 (2.7892)	Prec@1 40.625 (33.695)	Prec@5 67.969 (64.012)
Epoch: [10][8780/14090]	Time 0.865 (0.765)	Data 0.001 (0.001)	Loss 2.8198 (2.7891)	Prec@1 35.938 (33.694)	Prec@5 63.281 (64.013)
Epoch: [10][8790/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.6723 (2.7892)	Prec@1 36.719 (33.693)	Prec@5 67.969 (64.013)
Epoch: [10][8800/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.7841 (2.7892)	Prec@1 32.031 (33.692)	Prec@5 66.406 (64.011)
Epoch: [10][8810/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.8054 (2.7892)	Prec@1 30.469 (33.692)	Prec@5 64.062 (64.012)
Epoch: [10][8820/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 3.0151 (2.7893)	Prec@1 29.688 (33.691)	Prec@5 57.812 (64.011)
Epoch: [10][8830/14090]	Time 0.718 (0.765)	Data 0.001 (0.001)	Loss 3.0133 (2.7893)	Prec@1 28.125 (33.689)	Prec@5 59.375 (64.010)
Epoch: [10][8840/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 3.0428 (2.7894)	Prec@1 30.469 (33.687)	Prec@5 59.375 (64.008)
Epoch: [10][8850/14090]	Time 0.833 (0.765)	Data 0.001 (0.001)	Loss 2.7604 (2.7894)	Prec@1 33.594 (33.686)	Prec@5 65.625 (64.008)
Epoch: [10][8860/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 2.8698 (2.7893)	Prec@1 30.469 (33.687)	Prec@5 64.844 (64.010)
Epoch: [10][8870/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.7165 (2.7894)	Prec@1 34.375 (33.688)	Prec@5 67.969 (64.008)
Epoch: [10][8880/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.6940 (2.7894)	Prec@1 33.594 (33.687)	Prec@5 65.625 (64.008)
Epoch: [10][8890/14090]	Time 0.779 (0.765)	Data 0.001 (0.001)	Loss 2.7708 (2.7894)	Prec@1 31.250 (33.683)	Prec@5 61.719 (64.008)
Epoch: [10][8900/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.7975 (2.7894)	Prec@1 35.156 (33.683)	Prec@5 67.188 (64.008)
Epoch: [10][8910/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.8396 (2.7895)	Prec@1 29.688 (33.682)	Prec@5 63.281 (64.007)
Epoch: [10][8920/14090]	Time 0.860 (0.765)	Data 0.001 (0.001)	Loss 2.8107 (2.7896)	Prec@1 30.469 (33.682)	Prec@5 60.938 (64.007)
Epoch: [10][8930/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.8189 (2.7895)	Prec@1 30.469 (33.684)	Prec@5 61.719 (64.008)
Epoch: [10][8940/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.8217 (2.7896)	Prec@1 35.156 (33.683)	Prec@5 66.406 (64.008)
Epoch: [10][8950/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.9244 (2.7897)	Prec@1 32.812 (33.682)	Prec@5 67.188 (64.006)
Epoch: [10][8960/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 2.7249 (2.7897)	Prec@1 36.719 (33.681)	Prec@5 63.281 (64.007)
Epoch: [10][8970/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.5463 (2.7895)	Prec@1 41.406 (33.684)	Prec@5 69.531 (64.009)
Epoch: [10][8980/14090]	Time 0.766 (0.765)	Data 0.001 (0.001)	Loss 3.0934 (2.7895)	Prec@1 26.562 (33.683)	Prec@5 62.500 (64.010)
Epoch: [10][8990/14090]	Time 0.899 (0.765)	Data 0.001 (0.001)	Loss 2.7917 (2.7896)	Prec@1 28.125 (33.682)	Prec@5 65.625 (64.009)
Epoch: [10][9000/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.8614 (2.7896)	Prec@1 33.594 (33.680)	Prec@5 62.500 (64.007)
Epoch: [10][9010/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.9239 (2.7897)	Prec@1 32.031 (33.679)	Prec@5 60.938 (64.006)
Epoch: [10][9020/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.5405 (2.7896)	Prec@1 39.062 (33.682)	Prec@5 69.531 (64.006)
Epoch: [10][9030/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.7739 (2.7896)	Prec@1 34.375 (33.685)	Prec@5 64.062 (64.007)
Epoch: [10][9040/14090]	Time 0.755 (0.765)	Data 0.000 (0.001)	Loss 2.8035 (2.7897)	Prec@1 32.812 (33.683)	Prec@5 66.406 (64.006)
Epoch: [10][9050/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.8208 (2.7897)	Prec@1 30.469 (33.684)	Prec@5 64.062 (64.005)
Epoch: [10][9060/14090]	Time 0.886 (0.765)	Data 0.001 (0.001)	Loss 2.5735 (2.7896)	Prec@1 32.031 (33.683)	Prec@5 71.094 (64.006)
Epoch: [10][9070/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.5712 (2.7895)	Prec@1 36.719 (33.683)	Prec@5 67.969 (64.010)
Epoch: [10][9080/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 3.1103 (2.7896)	Prec@1 26.562 (33.682)	Prec@5 55.469 (64.008)
Epoch: [10][9090/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.8498 (2.7895)	Prec@1 37.500 (33.684)	Prec@5 56.250 (64.010)
Epoch: [10][9100/14090]	Time 0.777 (0.765)	Data 0.001 (0.001)	Loss 3.0231 (2.7895)	Prec@1 34.375 (33.685)	Prec@5 62.500 (64.010)
Epoch: [10][9110/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.6956 (2.7896)	Prec@1 42.188 (33.684)	Prec@5 63.281 (64.010)
Epoch: [10][9120/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.8097 (2.7896)	Prec@1 35.938 (33.684)	Prec@5 62.500 (64.011)
Epoch: [10][9130/14090]	Time 0.881 (0.765)	Data 0.001 (0.001)	Loss 2.9886 (2.7896)	Prec@1 33.594 (33.686)	Prec@5 61.719 (64.011)
Epoch: [10][9140/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.5582 (2.7895)	Prec@1 42.969 (33.687)	Prec@5 68.750 (64.011)
Epoch: [10][9150/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.8426 (2.7894)	Prec@1 33.594 (33.688)	Prec@5 66.406 (64.014)
Epoch: [10][9160/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.6420 (2.7894)	Prec@1 34.375 (33.690)	Prec@5 64.062 (64.014)
Epoch: [10][9170/14090]	Time 0.774 (0.765)	Data 0.001 (0.001)	Loss 2.8880 (2.7894)	Prec@1 28.906 (33.688)	Prec@5 62.500 (64.014)
Epoch: [10][9180/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.8016 (2.7894)	Prec@1 32.031 (33.687)	Prec@5 65.625 (64.013)
Epoch: [10][9190/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.8966 (2.7894)	Prec@1 32.812 (33.688)	Prec@5 55.469 (64.014)
Epoch: [10][9200/14090]	Time 0.858 (0.765)	Data 0.001 (0.001)	Loss 2.5633 (2.7893)	Prec@1 32.812 (33.690)	Prec@5 69.531 (64.016)
Epoch: [10][9210/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.9215 (2.7893)	Prec@1 34.375 (33.691)	Prec@5 60.156 (64.016)
Epoch: [10][9220/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.7816 (2.7892)	Prec@1 39.062 (33.693)	Prec@5 63.281 (64.019)
Epoch: [10][9230/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.6587 (2.7892)	Prec@1 33.594 (33.693)	Prec@5 65.625 (64.019)
Epoch: [10][9240/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.5780 (2.7891)	Prec@1 37.500 (33.695)	Prec@5 68.750 (64.021)
Epoch: [10][9250/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.6443 (2.7890)	Prec@1 32.812 (33.697)	Prec@5 63.281 (64.022)
Epoch: [10][9260/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.8118 (2.7890)	Prec@1 27.344 (33.699)	Prec@5 62.500 (64.022)
Epoch: [10][9270/14090]	Time 0.871 (0.765)	Data 0.001 (0.001)	Loss 2.5020 (2.7889)	Prec@1 35.938 (33.701)	Prec@5 73.438 (64.024)
Epoch: [10][9280/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.7240 (2.7889)	Prec@1 32.031 (33.701)	Prec@5 64.844 (64.023)
Epoch: [10][9290/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.7088 (2.7889)	Prec@1 35.156 (33.700)	Prec@5 59.375 (64.022)
Epoch: [10][9300/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.7389 (2.7891)	Prec@1 38.281 (33.698)	Prec@5 68.750 (64.020)
Epoch: [10][9310/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.7458 (2.7891)	Prec@1 35.938 (33.698)	Prec@5 69.531 (64.019)
Epoch: [10][9320/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 3.0468 (2.7891)	Prec@1 32.031 (33.699)	Prec@5 57.812 (64.022)
Epoch: [10][9330/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.6763 (2.7890)	Prec@1 37.500 (33.700)	Prec@5 65.625 (64.023)
Epoch: [10][9340/14090]	Time 0.855 (0.765)	Data 0.001 (0.001)	Loss 2.8008 (2.7890)	Prec@1 30.469 (33.700)	Prec@5 62.500 (64.022)
Epoch: [10][9350/14090]	Time 0.722 (0.765)	Data 0.001 (0.001)	Loss 2.6370 (2.7890)	Prec@1 32.812 (33.699)	Prec@5 68.750 (64.022)
Epoch: [10][9360/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.9886 (2.7890)	Prec@1 25.000 (33.700)	Prec@5 64.062 (64.022)
Epoch: [10][9370/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.7709 (2.7889)	Prec@1 30.469 (33.702)	Prec@5 67.188 (64.022)
Epoch: [10][9380/14090]	Time 0.790 (0.765)	Data 0.001 (0.001)	Loss 2.6064 (2.7888)	Prec@1 39.062 (33.705)	Prec@5 65.625 (64.025)
Epoch: [10][9390/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.4755 (2.7888)	Prec@1 41.406 (33.704)	Prec@5 72.656 (64.027)
Epoch: [10][9400/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.5275 (2.7888)	Prec@1 38.281 (33.706)	Prec@5 71.875 (64.026)
Epoch: [10][9410/14090]	Time 0.850 (0.765)	Data 0.001 (0.001)	Loss 2.7214 (2.7888)	Prec@1 35.938 (33.704)	Prec@5 65.625 (64.027)
Epoch: [10][9420/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.6323 (2.7888)	Prec@1 33.594 (33.701)	Prec@5 64.844 (64.025)
Epoch: [10][9430/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.5886 (2.7888)	Prec@1 38.281 (33.701)	Prec@5 67.969 (64.025)
Epoch: [10][9440/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.9638 (2.7888)	Prec@1 29.688 (33.703)	Prec@5 58.594 (64.027)
Epoch: [10][9450/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.8488 (2.7888)	Prec@1 38.281 (33.704)	Prec@5 68.750 (64.027)
Epoch: [10][9460/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.7078 (2.7889)	Prec@1 35.938 (33.703)	Prec@5 68.750 (64.025)
Epoch: [10][9470/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 3.0224 (2.7889)	Prec@1 32.812 (33.704)	Prec@5 62.500 (64.024)
Epoch: [10][9480/14090]	Time 0.870 (0.765)	Data 0.001 (0.001)	Loss 2.8155 (2.7889)	Prec@1 37.500 (33.705)	Prec@5 66.406 (64.024)
Epoch: [10][9490/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.7410 (2.7890)	Prec@1 35.156 (33.703)	Prec@5 64.844 (64.022)
Epoch: [10][9500/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.5900 (2.7891)	Prec@1 40.625 (33.703)	Prec@5 66.406 (64.020)
Epoch: [10][9510/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.3915 (2.7890)	Prec@1 41.406 (33.703)	Prec@5 68.750 (64.020)
Epoch: [10][9520/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.7699 (2.7890)	Prec@1 34.375 (33.702)	Prec@5 65.625 (64.019)
Epoch: [10][9530/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 2.5913 (2.7891)	Prec@1 37.500 (33.702)	Prec@5 64.062 (64.017)
Epoch: [10][9540/14090]	Time 0.771 (0.765)	Data 0.001 (0.001)	Loss 2.8736 (2.7890)	Prec@1 30.469 (33.703)	Prec@5 66.406 (64.018)
Epoch: [10][9550/14090]	Time 0.855 (0.765)	Data 0.001 (0.001)	Loss 2.9483 (2.7891)	Prec@1 32.812 (33.703)	Prec@5 63.281 (64.017)
Epoch: [10][9560/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.9443 (2.7891)	Prec@1 28.906 (33.702)	Prec@5 58.594 (64.019)
Epoch: [10][9570/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.6814 (2.7890)	Prec@1 34.375 (33.704)	Prec@5 69.531 (64.020)
Epoch: [10][9580/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.6270 (2.7890)	Prec@1 39.844 (33.705)	Prec@5 68.750 (64.020)
Epoch: [10][9590/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.7755 (2.7891)	Prec@1 35.938 (33.705)	Prec@5 64.062 (64.018)
Epoch: [10][9600/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 3.3188 (2.7892)	Prec@1 25.000 (33.703)	Prec@5 53.906 (64.015)
Epoch: [10][9610/14090]	Time 0.778 (0.765)	Data 0.001 (0.001)	Loss 2.4401 (2.7891)	Prec@1 38.281 (33.705)	Prec@5 71.875 (64.017)
Epoch: [10][9620/14090]	Time 0.863 (0.765)	Data 0.001 (0.001)	Loss 2.5732 (2.7891)	Prec@1 35.156 (33.706)	Prec@5 69.531 (64.018)
Epoch: [10][9630/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.9436 (2.7890)	Prec@1 31.250 (33.708)	Prec@5 62.500 (64.019)
Epoch: [10][9640/14090]	Time 0.767 (0.765)	Data 0.001 (0.001)	Loss 2.5664 (2.7891)	Prec@1 37.500 (33.707)	Prec@5 69.531 (64.018)
Epoch: [10][9650/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.8142 (2.7891)	Prec@1 32.812 (33.705)	Prec@5 64.062 (64.018)
Epoch: [10][9660/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 3.0726 (2.7891)	Prec@1 23.438 (33.704)	Prec@5 60.156 (64.018)
Epoch: [10][9670/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.8577 (2.7892)	Prec@1 31.250 (33.703)	Prec@5 64.062 (64.017)
Epoch: [10][9680/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 3.0027 (2.7891)	Prec@1 27.344 (33.705)	Prec@5 61.719 (64.019)
Epoch: [10][9690/14090]	Time 0.864 (0.765)	Data 0.001 (0.001)	Loss 2.7929 (2.7891)	Prec@1 28.906 (33.705)	Prec@5 67.188 (64.018)
Epoch: [10][9700/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.9708 (2.7891)	Prec@1 28.906 (33.703)	Prec@5 57.812 (64.017)
Epoch: [10][9710/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.5818 (2.7891)	Prec@1 36.719 (33.705)	Prec@5 68.750 (64.019)
Epoch: [10][9720/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.7705 (2.7892)	Prec@1 28.906 (33.705)	Prec@5 59.375 (64.017)
Epoch: [10][9730/14090]	Time 0.770 (0.765)	Data 0.001 (0.001)	Loss 2.6495 (2.7892)	Prec@1 34.375 (33.705)	Prec@5 62.500 (64.017)
Epoch: [10][9740/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.9036 (2.7893)	Prec@1 32.031 (33.704)	Prec@5 60.938 (64.012)
Epoch: [10][9750/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.9509 (2.7893)	Prec@1 35.156 (33.704)	Prec@5 57.031 (64.011)
Epoch: [10][9760/14090]	Time 0.858 (0.765)	Data 0.001 (0.001)	Loss 2.5319 (2.7892)	Prec@1 40.625 (33.706)	Prec@5 64.844 (64.012)
Epoch: [10][9770/14090]	Time 0.785 (0.765)	Data 0.001 (0.001)	Loss 2.8474 (2.7892)	Prec@1 30.469 (33.707)	Prec@5 60.156 (64.011)
Epoch: [10][9780/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.7817 (2.7892)	Prec@1 38.281 (33.706)	Prec@5 67.188 (64.011)
Epoch: [10][9790/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.7285 (2.7891)	Prec@1 40.625 (33.706)	Prec@5 71.094 (64.013)
Epoch: [10][9800/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.6180 (2.7891)	Prec@1 37.500 (33.708)	Prec@5 71.875 (64.015)
Epoch: [10][9810/14090]	Time 0.760 (0.765)	Data 0.002 (0.001)	Loss 2.8398 (2.7890)	Prec@1 32.031 (33.710)	Prec@5 63.281 (64.017)
Epoch: [10][9820/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.6960 (2.7890)	Prec@1 39.844 (33.710)	Prec@5 61.719 (64.016)
Epoch: [10][9830/14090]	Time 0.867 (0.765)	Data 0.001 (0.001)	Loss 2.8827 (2.7889)	Prec@1 36.719 (33.713)	Prec@5 60.938 (64.018)
Epoch: [10][9840/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.9126 (2.7888)	Prec@1 36.719 (33.714)	Prec@5 62.500 (64.018)
Epoch: [10][9850/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.8699 (2.7887)	Prec@1 30.469 (33.714)	Prec@5 64.062 (64.020)
Epoch: [10][9860/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.9556 (2.7887)	Prec@1 30.469 (33.715)	Prec@5 59.375 (64.020)
Epoch: [10][9870/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.7371 (2.7887)	Prec@1 38.281 (33.717)	Prec@5 67.188 (64.022)
Epoch: [10][9880/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.8086 (2.7887)	Prec@1 28.906 (33.716)	Prec@5 64.844 (64.022)
Epoch: [10][9890/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.9829 (2.7887)	Prec@1 33.594 (33.717)	Prec@5 59.375 (64.022)
Epoch: [10][9900/14090]	Time 0.871 (0.765)	Data 0.001 (0.001)	Loss 2.5251 (2.7887)	Prec@1 37.500 (33.718)	Prec@5 69.531 (64.021)
Epoch: [10][9910/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.6857 (2.7886)	Prec@1 37.500 (33.721)	Prec@5 65.625 (64.022)
Epoch: [10][9920/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.7050 (2.7886)	Prec@1 37.500 (33.721)	Prec@5 68.750 (64.022)
Epoch: [10][9930/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 3.0566 (2.7886)	Prec@1 26.562 (33.719)	Prec@5 59.375 (64.022)
Epoch: [10][9940/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.8251 (2.7886)	Prec@1 31.250 (33.717)	Prec@5 67.188 (64.021)
Epoch: [10][9950/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.6520 (2.7886)	Prec@1 36.719 (33.717)	Prec@5 70.312 (64.021)
Epoch: [10][9960/14090]	Time 0.775 (0.765)	Data 0.001 (0.001)	Loss 2.8038 (2.7887)	Prec@1 34.375 (33.716)	Prec@5 66.406 (64.020)
Epoch: [10][9970/14090]	Time 0.869 (0.765)	Data 0.001 (0.001)	Loss 2.8338 (2.7887)	Prec@1 31.250 (33.712)	Prec@5 64.062 (64.019)
Epoch: [10][9980/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.6541 (2.7886)	Prec@1 35.938 (33.713)	Prec@5 66.406 (64.021)
Epoch: [10][9990/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.8320 (2.7886)	Prec@1 27.344 (33.712)	Prec@5 62.500 (64.021)
Epoch: [10][10000/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.6742 (2.7887)	Prec@1 36.719 (33.713)	Prec@5 64.062 (64.020)
Epoch: [10][10010/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.6409 (2.7886)	Prec@1 37.500 (33.713)	Prec@5 66.406 (64.022)
Epoch: [10][10020/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.8350 (2.7886)	Prec@1 28.906 (33.712)	Prec@5 62.500 (64.022)
Epoch: [10][10030/14090]	Time 0.775 (0.765)	Data 0.001 (0.001)	Loss 2.6063 (2.7886)	Prec@1 35.938 (33.713)	Prec@5 67.188 (64.024)
Epoch: [10][10040/14090]	Time 0.933 (0.765)	Data 0.001 (0.001)	Loss 2.7336 (2.7886)	Prec@1 36.719 (33.713)	Prec@5 67.188 (64.025)
Epoch: [10][10050/14090]	Time 0.769 (0.765)	Data 0.001 (0.001)	Loss 2.6644 (2.7886)	Prec@1 37.500 (33.712)	Prec@5 67.969 (64.024)
Epoch: [10][10060/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 2.7476 (2.7886)	Prec@1 37.500 (33.712)	Prec@5 64.062 (64.025)
Epoch: [10][10070/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.9242 (2.7886)	Prec@1 29.688 (33.711)	Prec@5 59.375 (64.026)
Epoch: [10][10080/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.8351 (2.7887)	Prec@1 38.281 (33.709)	Prec@5 63.281 (64.025)
Epoch: [10][10090/14090]	Time 0.740 (0.765)	Data 0.004 (0.001)	Loss 2.7461 (2.7886)	Prec@1 36.719 (33.712)	Prec@5 67.969 (64.028)
Epoch: [10][10100/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.7556 (2.7886)	Prec@1 34.375 (33.712)	Prec@5 65.625 (64.028)
Epoch: [10][10110/14090]	Time 0.854 (0.765)	Data 0.001 (0.001)	Loss 2.7247 (2.7886)	Prec@1 31.250 (33.714)	Prec@5 65.625 (64.030)
Epoch: [10][10120/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.9687 (2.7886)	Prec@1 32.031 (33.713)	Prec@5 61.719 (64.029)
Epoch: [10][10130/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.6577 (2.7887)	Prec@1 43.750 (33.714)	Prec@5 66.406 (64.029)
Epoch: [10][10140/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.7126 (2.7887)	Prec@1 33.594 (33.714)	Prec@5 70.312 (64.030)
Epoch: [10][10150/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.7624 (2.7887)	Prec@1 32.031 (33.714)	Prec@5 66.406 (64.031)
Epoch: [10][10160/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.3173 (2.7886)	Prec@1 45.312 (33.716)	Prec@5 75.000 (64.032)
Epoch: [10][10170/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.6983 (2.7886)	Prec@1 32.812 (33.716)	Prec@5 66.406 (64.034)
Epoch: [10][10180/14090]	Time 0.840 (0.765)	Data 0.001 (0.001)	Loss 2.8920 (2.7887)	Prec@1 29.688 (33.714)	Prec@5 57.812 (64.034)
Epoch: [10][10190/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.9801 (2.7887)	Prec@1 28.906 (33.713)	Prec@5 60.938 (64.033)
Epoch: [10][10200/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.9275 (2.7887)	Prec@1 31.250 (33.715)	Prec@5 61.719 (64.034)
Epoch: [10][10210/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.7469 (2.7887)	Prec@1 29.688 (33.713)	Prec@5 64.062 (64.033)
Epoch: [10][10220/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 3.0208 (2.7887)	Prec@1 24.219 (33.711)	Prec@5 56.250 (64.033)
Epoch: [10][10230/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 3.1169 (2.7889)	Prec@1 27.344 (33.710)	Prec@5 64.062 (64.032)
Epoch: [10][10240/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.7861 (2.7889)	Prec@1 34.375 (33.709)	Prec@5 59.375 (64.030)
Epoch: [10][10250/14090]	Time 0.903 (0.765)	Data 0.001 (0.001)	Loss 2.6145 (2.7889)	Prec@1 35.938 (33.709)	Prec@5 67.188 (64.029)
Epoch: [10][10260/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.8054 (2.7890)	Prec@1 28.906 (33.706)	Prec@5 63.281 (64.028)
Epoch: [10][10270/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.8134 (2.7889)	Prec@1 37.500 (33.708)	Prec@5 60.938 (64.028)
Epoch: [10][10280/14090]	Time 0.770 (0.765)	Data 0.001 (0.001)	Loss 2.8354 (2.7890)	Prec@1 29.688 (33.707)	Prec@5 64.062 (64.028)
Epoch: [10][10290/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 3.1795 (2.7889)	Prec@1 24.219 (33.708)	Prec@5 53.125 (64.030)
Epoch: [10][10300/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.6307 (2.7888)	Prec@1 35.938 (33.709)	Prec@5 66.406 (64.032)
Epoch: [10][10310/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.6573 (2.7887)	Prec@1 38.281 (33.709)	Prec@5 67.188 (64.033)
Epoch: [10][10320/14090]	Time 0.881 (0.765)	Data 0.001 (0.001)	Loss 2.7238 (2.7887)	Prec@1 32.031 (33.710)	Prec@5 62.500 (64.034)
Epoch: [10][10330/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 3.0868 (2.7887)	Prec@1 26.562 (33.710)	Prec@5 61.719 (64.034)
Epoch: [10][10340/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 2.5066 (2.7886)	Prec@1 33.594 (33.713)	Prec@5 72.656 (64.035)
Epoch: [10][10350/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.7763 (2.7886)	Prec@1 25.781 (33.712)	Prec@5 62.500 (64.035)
Epoch: [10][10360/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 2.4999 (2.7886)	Prec@1 36.719 (33.713)	Prec@5 69.531 (64.036)
Epoch: [10][10370/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.7526 (2.7887)	Prec@1 35.156 (33.713)	Prec@5 64.844 (64.033)
Epoch: [10][10380/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.8640 (2.7887)	Prec@1 32.812 (33.713)	Prec@5 61.719 (64.033)
Epoch: [10][10390/14090]	Time 0.826 (0.765)	Data 0.001 (0.001)	Loss 2.6821 (2.7887)	Prec@1 38.281 (33.713)	Prec@5 64.844 (64.033)
Epoch: [10][10400/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.8254 (2.7887)	Prec@1 33.594 (33.712)	Prec@5 64.844 (64.033)
Epoch: [10][10410/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.8849 (2.7888)	Prec@1 30.469 (33.712)	Prec@5 63.281 (64.033)
Epoch: [10][10420/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.7706 (2.7888)	Prec@1 31.250 (33.711)	Prec@5 61.719 (64.033)
Epoch: [10][10430/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.6839 (2.7888)	Prec@1 35.938 (33.713)	Prec@5 66.406 (64.034)
Epoch: [10][10440/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.8473 (2.7886)	Prec@1 29.688 (33.716)	Prec@5 61.719 (64.036)
Epoch: [10][10450/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.5556 (2.7886)	Prec@1 36.719 (33.718)	Prec@5 70.312 (64.037)
Epoch: [10][10460/14090]	Time 0.841 (0.765)	Data 0.001 (0.001)	Loss 2.5135 (2.7885)	Prec@1 35.938 (33.719)	Prec@5 71.094 (64.038)
Epoch: [10][10470/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 3.0852 (2.7886)	Prec@1 25.781 (33.717)	Prec@5 57.031 (64.036)
Epoch: [10][10480/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.6973 (2.7887)	Prec@1 34.375 (33.716)	Prec@5 64.062 (64.035)
Epoch: [10][10490/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.4062 (2.7886)	Prec@1 40.625 (33.718)	Prec@5 74.219 (64.037)
Epoch: [10][10500/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.8079 (2.7887)	Prec@1 35.938 (33.717)	Prec@5 63.281 (64.034)
Epoch: [10][10510/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.8545 (2.7887)	Prec@1 35.938 (33.717)	Prec@5 63.281 (64.033)
Epoch: [10][10520/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.7769 (2.7887)	Prec@1 35.156 (33.717)	Prec@5 70.312 (64.033)
Epoch: [10][10530/14090]	Time 0.877 (0.765)	Data 0.001 (0.001)	Loss 2.4583 (2.7887)	Prec@1 41.406 (33.718)	Prec@5 68.750 (64.034)
Epoch: [10][10540/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.9719 (2.7888)	Prec@1 25.781 (33.718)	Prec@5 67.188 (64.035)
Epoch: [10][10550/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.7662 (2.7887)	Prec@1 36.719 (33.719)	Prec@5 70.312 (64.035)
Epoch: [10][10560/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.9312 (2.7888)	Prec@1 25.781 (33.719)	Prec@5 63.281 (64.034)
Epoch: [10][10570/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.8014 (2.7888)	Prec@1 30.469 (33.717)	Prec@5 62.500 (64.034)
Epoch: [10][10580/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 3.0060 (2.7889)	Prec@1 25.000 (33.716)	Prec@5 58.594 (64.033)
Epoch: [10][10590/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.5008 (2.7888)	Prec@1 33.594 (33.716)	Prec@5 66.406 (64.033)
Epoch: [10][10600/14090]	Time 0.811 (0.765)	Data 0.001 (0.001)	Loss 2.8258 (2.7888)	Prec@1 28.125 (33.716)	Prec@5 66.406 (64.033)
Epoch: [10][10610/14090]	Time 0.781 (0.765)	Data 0.001 (0.001)	Loss 2.5509 (2.7888)	Prec@1 36.719 (33.715)	Prec@5 65.625 (64.032)
Epoch: [10][10620/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.5629 (2.7888)	Prec@1 37.500 (33.715)	Prec@5 67.188 (64.032)
Epoch: [10][10630/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.9395 (2.7889)	Prec@1 33.594 (33.713)	Prec@5 64.062 (64.030)
Epoch: [10][10640/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.7245 (2.7889)	Prec@1 31.250 (33.712)	Prec@5 64.844 (64.029)
Epoch: [10][10650/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.5401 (2.7889)	Prec@1 39.844 (33.713)	Prec@5 70.312 (64.031)
Epoch: [10][10660/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 3.0901 (2.7889)	Prec@1 27.344 (33.712)	Prec@5 60.938 (64.031)
Epoch: [10][10670/14090]	Time 0.870 (0.765)	Data 0.001 (0.001)	Loss 2.7566 (2.7889)	Prec@1 35.156 (33.712)	Prec@5 67.188 (64.032)
Epoch: [10][10680/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.6116 (2.7889)	Prec@1 37.500 (33.711)	Prec@5 64.844 (64.032)
Epoch: [10][10690/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.6963 (2.7888)	Prec@1 34.375 (33.711)	Prec@5 68.750 (64.034)
Epoch: [10][10700/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 2.9892 (2.7889)	Prec@1 30.469 (33.709)	Prec@5 53.125 (64.032)
Epoch: [10][10710/14090]	Time 0.722 (0.765)	Data 0.001 (0.001)	Loss 2.9298 (2.7890)	Prec@1 29.688 (33.707)	Prec@5 66.406 (64.031)
Epoch: [10][10720/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.9255 (2.7889)	Prec@1 32.031 (33.707)	Prec@5 60.156 (64.032)
Epoch: [10][10730/14090]	Time 0.775 (0.765)	Data 0.001 (0.001)	Loss 2.7510 (2.7889)	Prec@1 37.500 (33.709)	Prec@5 64.062 (64.031)
Epoch: [10][10740/14090]	Time 0.842 (0.765)	Data 0.001 (0.001)	Loss 2.8161 (2.7888)	Prec@1 37.500 (33.711)	Prec@5 59.375 (64.031)
Epoch: [10][10750/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.8006 (2.7888)	Prec@1 35.156 (33.712)	Prec@5 67.969 (64.031)
Epoch: [10][10760/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.8199 (2.7889)	Prec@1 37.500 (33.711)	Prec@5 63.281 (64.032)
Epoch: [10][10770/14090]	Time 0.789 (0.765)	Data 0.001 (0.001)	Loss 2.7982 (2.7889)	Prec@1 28.125 (33.709)	Prec@5 57.812 (64.030)
Epoch: [10][10780/14090]	Time 0.753 (0.765)	Data 0.002 (0.001)	Loss 2.6642 (2.7890)	Prec@1 42.969 (33.709)	Prec@5 67.188 (64.029)
Epoch: [10][10790/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 3.1677 (2.7890)	Prec@1 25.000 (33.708)	Prec@5 62.500 (64.028)
Epoch: [10][10800/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.6151 (2.7891)	Prec@1 39.062 (33.708)	Prec@5 64.844 (64.026)
Epoch: [10][10810/14090]	Time 0.885 (0.765)	Data 0.001 (0.001)	Loss 2.5743 (2.7891)	Prec@1 37.500 (33.708)	Prec@5 70.312 (64.027)
Epoch: [10][10820/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.8658 (2.7891)	Prec@1 30.469 (33.708)	Prec@5 61.719 (64.027)
Epoch: [10][10830/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 3.0759 (2.7890)	Prec@1 32.812 (33.709)	Prec@5 58.594 (64.029)
Epoch: [10][10840/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 3.0000 (2.7891)	Prec@1 29.688 (33.708)	Prec@5 55.469 (64.026)
Epoch: [10][10850/14090]	Time 0.767 (0.765)	Data 0.001 (0.001)	Loss 2.8075 (2.7890)	Prec@1 30.469 (33.708)	Prec@5 64.844 (64.029)
Epoch: [10][10860/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.5431 (2.7889)	Prec@1 35.938 (33.709)	Prec@5 67.188 (64.030)
Epoch: [10][10870/14090]	Time 0.785 (0.765)	Data 0.001 (0.001)	Loss 2.4642 (2.7889)	Prec@1 39.062 (33.708)	Prec@5 68.750 (64.031)
Epoch: [10][10880/14090]	Time 0.818 (0.765)	Data 0.001 (0.001)	Loss 2.5074 (2.7889)	Prec@1 41.406 (33.708)	Prec@5 69.531 (64.030)
Epoch: [10][10890/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.7032 (2.7888)	Prec@1 34.375 (33.710)	Prec@5 63.281 (64.032)
Epoch: [10][10900/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 2.9508 (2.7887)	Prec@1 30.469 (33.711)	Prec@5 56.250 (64.032)
Epoch: [10][10910/14090]	Time 0.764 (0.765)	Data 0.004 (0.001)	Loss 2.5632 (2.7886)	Prec@1 39.844 (33.712)	Prec@5 71.875 (64.034)
Epoch: [10][10920/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 3.0312 (2.7887)	Prec@1 28.125 (33.710)	Prec@5 55.469 (64.033)
Epoch: [10][10930/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 3.0260 (2.7888)	Prec@1 34.375 (33.710)	Prec@5 58.594 (64.030)
Epoch: [10][10940/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.8863 (2.7888)	Prec@1 32.031 (33.711)	Prec@5 62.500 (64.029)
Epoch: [10][10950/14090]	Time 0.864 (0.765)	Data 0.001 (0.001)	Loss 2.9737 (2.7888)	Prec@1 32.812 (33.709)	Prec@5 62.500 (64.029)
Epoch: [10][10960/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.8868 (2.7889)	Prec@1 33.594 (33.708)	Prec@5 63.281 (64.028)
Epoch: [10][10970/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 2.7610 (2.7889)	Prec@1 36.719 (33.708)	Prec@5 67.188 (64.028)
Epoch: [10][10980/14090]	Time 0.779 (0.765)	Data 0.001 (0.001)	Loss 2.7048 (2.7889)	Prec@1 33.594 (33.708)	Prec@5 64.062 (64.027)
Epoch: [10][10990/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.8230 (2.7889)	Prec@1 32.031 (33.708)	Prec@5 64.844 (64.026)
Epoch: [10][11000/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.6523 (2.7889)	Prec@1 36.719 (33.710)	Prec@5 67.969 (64.026)
Epoch: [10][11010/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.8518 (2.7889)	Prec@1 32.812 (33.711)	Prec@5 63.281 (64.026)
Epoch: [10][11020/14090]	Time 0.832 (0.765)	Data 0.001 (0.001)	Loss 2.7105 (2.7890)	Prec@1 30.469 (33.710)	Prec@5 65.625 (64.024)
Epoch: [10][11030/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.6411 (2.7889)	Prec@1 35.156 (33.711)	Prec@5 70.312 (64.026)
Epoch: [10][11040/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.8014 (2.7888)	Prec@1 33.594 (33.714)	Prec@5 60.938 (64.027)
Epoch: [10][11050/14090]	Time 0.784 (0.765)	Data 0.001 (0.001)	Loss 3.0407 (2.7887)	Prec@1 33.594 (33.714)	Prec@5 54.688 (64.028)
Epoch: [10][11060/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.8848 (2.7887)	Prec@1 32.031 (33.717)	Prec@5 63.281 (64.030)
Epoch: [10][11070/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.6540 (2.7887)	Prec@1 37.500 (33.717)	Prec@5 65.625 (64.030)
Epoch: [10][11080/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.7468 (2.7887)	Prec@1 31.250 (33.715)	Prec@5 69.531 (64.030)
Epoch: [10][11090/14090]	Time 0.885 (0.765)	Data 0.001 (0.001)	Loss 2.6580 (2.7888)	Prec@1 33.594 (33.714)	Prec@5 64.844 (64.030)
Epoch: [10][11100/14090]	Time 0.771 (0.765)	Data 0.001 (0.001)	Loss 2.5603 (2.7887)	Prec@1 39.844 (33.714)	Prec@5 68.750 (64.030)
Epoch: [10][11110/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.8769 (2.7887)	Prec@1 34.375 (33.715)	Prec@5 60.938 (64.029)
Epoch: [10][11120/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.8615 (2.7887)	Prec@1 32.812 (33.716)	Prec@5 62.500 (64.029)
Epoch: [10][11130/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.8858 (2.7887)	Prec@1 28.125 (33.717)	Prec@5 57.812 (64.030)
Epoch: [10][11140/14090]	Time 0.767 (0.765)	Data 0.001 (0.001)	Loss 2.3488 (2.7887)	Prec@1 39.844 (33.718)	Prec@5 71.875 (64.030)
Epoch: [10][11150/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 3.0235 (2.7887)	Prec@1 31.250 (33.718)	Prec@5 58.594 (64.030)
Epoch: [10][11160/14090]	Time 0.859 (0.765)	Data 0.001 (0.001)	Loss 2.8557 (2.7887)	Prec@1 33.594 (33.717)	Prec@5 61.719 (64.031)
Epoch: [10][11170/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.8621 (2.7886)	Prec@1 28.906 (33.719)	Prec@5 61.719 (64.032)
Epoch: [10][11180/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 3.0225 (2.7887)	Prec@1 35.156 (33.719)	Prec@5 61.719 (64.030)
Epoch: [10][11190/14090]	Time 0.773 (0.765)	Data 0.001 (0.001)	Loss 3.0020 (2.7888)	Prec@1 33.594 (33.717)	Prec@5 63.281 (64.029)
Epoch: [10][11200/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.6962 (2.7888)	Prec@1 35.156 (33.716)	Prec@5 63.281 (64.029)
Epoch: [10][11210/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.6844 (2.7887)	Prec@1 38.281 (33.719)	Prec@5 67.188 (64.030)
Epoch: [10][11220/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.8007 (2.7887)	Prec@1 36.719 (33.719)	Prec@5 64.844 (64.030)
Epoch: [10][11230/14090]	Time 0.994 (0.765)	Data 0.001 (0.001)	Loss 3.0264 (2.7887)	Prec@1 25.000 (33.719)	Prec@5 59.375 (64.030)
Epoch: [10][11240/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.9025 (2.7888)	Prec@1 32.812 (33.717)	Prec@5 60.938 (64.029)
Epoch: [10][11250/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.6335 (2.7888)	Prec@1 33.594 (33.717)	Prec@5 65.625 (64.031)
Epoch: [10][11260/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.9208 (2.7887)	Prec@1 32.031 (33.719)	Prec@5 64.062 (64.033)
Epoch: [10][11270/14090]	Time 0.769 (0.765)	Data 0.001 (0.001)	Loss 2.8288 (2.7886)	Prec@1 35.156 (33.721)	Prec@5 62.500 (64.034)
Epoch: [10][11280/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.9145 (2.7887)	Prec@1 32.031 (33.720)	Prec@5 66.406 (64.033)
Epoch: [10][11290/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 3.1191 (2.7888)	Prec@1 21.875 (33.716)	Prec@5 54.688 (64.031)
Epoch: [10][11300/14090]	Time 0.873 (0.765)	Data 0.001 (0.001)	Loss 2.3971 (2.7888)	Prec@1 41.406 (33.717)	Prec@5 71.094 (64.032)
Epoch: [10][11310/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.7120 (2.7887)	Prec@1 40.625 (33.718)	Prec@5 64.062 (64.032)
Epoch: [10][11320/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.9543 (2.7887)	Prec@1 32.812 (33.717)	Prec@5 63.281 (64.033)
Epoch: [10][11330/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.7646 (2.7887)	Prec@1 35.156 (33.716)	Prec@5 65.625 (64.033)
Epoch: [10][11340/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.9675 (2.7887)	Prec@1 33.594 (33.717)	Prec@5 62.500 (64.032)
Epoch: [10][11350/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 3.0703 (2.7888)	Prec@1 26.562 (33.716)	Prec@5 53.906 (64.030)
Epoch: [10][11360/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.9469 (2.7888)	Prec@1 28.125 (33.715)	Prec@5 60.938 (64.031)
Epoch: [10][11370/14090]	Time 0.879 (0.765)	Data 0.001 (0.001)	Loss 2.9139 (2.7889)	Prec@1 30.469 (33.712)	Prec@5 58.594 (64.029)
Epoch: [10][11380/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 3.0438 (2.7890)	Prec@1 34.375 (33.710)	Prec@5 61.719 (64.027)
Epoch: [10][11390/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.8153 (2.7890)	Prec@1 32.031 (33.710)	Prec@5 64.844 (64.027)
Epoch: [10][11400/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.8671 (2.7891)	Prec@1 31.250 (33.707)	Prec@5 61.719 (64.027)
Epoch: [10][11410/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.7285 (2.7892)	Prec@1 35.156 (33.705)	Prec@5 62.500 (64.027)
Epoch: [10][11420/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.8327 (2.7892)	Prec@1 32.031 (33.704)	Prec@5 61.719 (64.027)
Epoch: [10][11430/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.7709 (2.7892)	Prec@1 34.375 (33.704)	Prec@5 65.625 (64.027)
Epoch: [10][11440/14090]	Time 0.858 (0.765)	Data 0.001 (0.001)	Loss 2.8404 (2.7892)	Prec@1 33.594 (33.706)	Prec@5 64.844 (64.029)
Epoch: [10][11450/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.8579 (2.7891)	Prec@1 38.281 (33.706)	Prec@5 66.406 (64.030)
Epoch: [10][11460/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.6591 (2.7891)	Prec@1 31.250 (33.705)	Prec@5 67.188 (64.030)
Epoch: [10][11470/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.7000 (2.7891)	Prec@1 34.375 (33.704)	Prec@5 64.844 (64.029)
Epoch: [10][11480/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 3.2039 (2.7891)	Prec@1 28.125 (33.703)	Prec@5 58.594 (64.029)
Epoch: [10][11490/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 3.0970 (2.7892)	Prec@1 25.781 (33.701)	Prec@5 53.906 (64.028)
Epoch: [10][11500/14090]	Time 0.773 (0.765)	Data 0.001 (0.001)	Loss 2.4131 (2.7891)	Prec@1 43.750 (33.702)	Prec@5 75.781 (64.029)
Epoch: [10][11510/14090]	Time 0.878 (0.765)	Data 0.001 (0.001)	Loss 2.8441 (2.7890)	Prec@1 34.375 (33.705)	Prec@5 61.719 (64.032)
Epoch: [10][11520/14090]	Time 0.780 (0.765)	Data 0.001 (0.001)	Loss 2.5188 (2.7889)	Prec@1 39.062 (33.707)	Prec@5 65.625 (64.033)
Epoch: [10][11530/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.8879 (2.7889)	Prec@1 32.812 (33.707)	Prec@5 60.938 (64.031)
Epoch: [10][11540/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.7081 (2.7890)	Prec@1 38.281 (33.704)	Prec@5 60.156 (64.030)
Epoch: [10][11550/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 3.1011 (2.7891)	Prec@1 25.781 (33.704)	Prec@5 58.594 (64.026)
Epoch: [10][11560/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 3.0717 (2.7892)	Prec@1 32.031 (33.704)	Prec@5 60.156 (64.025)
Epoch: [10][11570/14090]	Time 0.769 (0.765)	Data 0.001 (0.001)	Loss 2.8213 (2.7892)	Prec@1 33.594 (33.704)	Prec@5 61.719 (64.024)
Epoch: [10][11580/14090]	Time 0.863 (0.765)	Data 0.001 (0.001)	Loss 3.1763 (2.7892)	Prec@1 28.125 (33.704)	Prec@5 57.812 (64.024)
Epoch: [10][11590/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.8289 (2.7892)	Prec@1 32.812 (33.706)	Prec@5 64.062 (64.024)
Epoch: [10][11600/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 2.8552 (2.7892)	Prec@1 33.594 (33.706)	Prec@5 62.500 (64.024)
Epoch: [10][11610/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.7324 (2.7892)	Prec@1 33.594 (33.707)	Prec@5 65.625 (64.025)
Epoch: [10][11620/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.9562 (2.7892)	Prec@1 32.031 (33.705)	Prec@5 57.812 (64.023)
Epoch: [10][11630/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.8063 (2.7893)	Prec@1 37.500 (33.704)	Prec@5 63.281 (64.022)
Epoch: [10][11640/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.5913 (2.7893)	Prec@1 35.938 (33.704)	Prec@5 68.750 (64.022)
Epoch: [10][11650/14090]	Time 0.866 (0.765)	Data 0.001 (0.001)	Loss 2.7527 (2.7892)	Prec@1 28.125 (33.703)	Prec@5 63.281 (64.022)
Epoch: [10][11660/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 3.0123 (2.7893)	Prec@1 30.469 (33.702)	Prec@5 65.625 (64.022)
Epoch: [10][11670/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.6739 (2.7893)	Prec@1 37.500 (33.701)	Prec@5 69.531 (64.021)
Epoch: [10][11680/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.7866 (2.7893)	Prec@1 34.375 (33.701)	Prec@5 66.406 (64.022)
Epoch: [10][11690/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.8397 (2.7892)	Prec@1 34.375 (33.702)	Prec@5 65.625 (64.023)
Epoch: [10][11700/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 2.4751 (2.7892)	Prec@1 35.938 (33.701)	Prec@5 67.188 (64.023)
Epoch: [10][11710/14090]	Time 0.786 (0.765)	Data 0.001 (0.001)	Loss 2.8057 (2.7892)	Prec@1 35.156 (33.701)	Prec@5 67.969 (64.022)
Epoch: [10][11720/14090]	Time 0.833 (0.765)	Data 0.001 (0.001)	Loss 2.7025 (2.7892)	Prec@1 35.938 (33.700)	Prec@5 63.281 (64.022)
Epoch: [10][11730/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.6881 (2.7892)	Prec@1 32.031 (33.701)	Prec@5 68.750 (64.022)
Epoch: [10][11740/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.8385 (2.7892)	Prec@1 32.812 (33.702)	Prec@5 60.156 (64.022)
Epoch: [10][11750/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 3.0786 (2.7893)	Prec@1 31.250 (33.700)	Prec@5 59.375 (64.021)
Epoch: [10][11760/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.5873 (2.7893)	Prec@1 32.031 (33.700)	Prec@5 64.844 (64.021)
Epoch: [10][11770/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.7620 (2.7893)	Prec@1 37.500 (33.700)	Prec@5 62.500 (64.021)
Epoch: [10][11780/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.7361 (2.7893)	Prec@1 35.938 (33.700)	Prec@5 66.406 (64.021)
Epoch: [10][11790/14090]	Time 0.857 (0.765)	Data 0.001 (0.001)	Loss 2.8094 (2.7893)	Prec@1 25.781 (33.698)	Prec@5 64.062 (64.021)
Epoch: [10][11800/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.6186 (2.7893)	Prec@1 37.500 (33.698)	Prec@5 67.969 (64.022)
Epoch: [10][11810/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.5130 (2.7892)	Prec@1 44.531 (33.698)	Prec@5 68.750 (64.023)
Epoch: [10][11820/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 3.0617 (2.7894)	Prec@1 26.562 (33.696)	Prec@5 63.281 (64.020)
Epoch: [10][11830/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.7927 (2.7895)	Prec@1 35.938 (33.695)	Prec@5 64.844 (64.018)
Epoch: [10][11840/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.6346 (2.7895)	Prec@1 40.625 (33.696)	Prec@5 67.188 (64.018)
Epoch: [10][11850/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.8806 (2.7895)	Prec@1 35.938 (33.696)	Prec@5 57.031 (64.016)
Epoch: [10][11860/14090]	Time 0.859 (0.765)	Data 0.001 (0.001)	Loss 2.9318 (2.7895)	Prec@1 33.594 (33.698)	Prec@5 60.938 (64.016)
Epoch: [10][11870/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 3.0745 (2.7895)	Prec@1 32.031 (33.699)	Prec@5 60.938 (64.017)
Epoch: [10][11880/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 3.0254 (2.7895)	Prec@1 28.125 (33.697)	Prec@5 57.812 (64.016)
Epoch: [10][11890/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.9130 (2.7894)	Prec@1 26.562 (33.697)	Prec@5 63.281 (64.018)
Epoch: [10][11900/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.7724 (2.7895)	Prec@1 39.844 (33.697)	Prec@5 60.938 (64.016)
Epoch: [10][11910/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.7113 (2.7894)	Prec@1 37.500 (33.699)	Prec@5 65.625 (64.017)
Epoch: [10][11920/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.6601 (2.7895)	Prec@1 37.500 (33.699)	Prec@5 66.406 (64.016)
Epoch: [10][11930/14090]	Time 0.860 (0.765)	Data 0.001 (0.001)	Loss 2.9884 (2.7895)	Prec@1 32.031 (33.699)	Prec@5 57.031 (64.015)
Epoch: [10][11940/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.9998 (2.7894)	Prec@1 28.906 (33.701)	Prec@5 57.812 (64.016)
Epoch: [10][11950/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 2.7022 (2.7894)	Prec@1 40.625 (33.703)	Prec@5 63.281 (64.018)
Epoch: [10][11960/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 2.6775 (2.7893)	Prec@1 33.594 (33.704)	Prec@5 66.406 (64.019)
Epoch: [10][11970/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.5443 (2.7893)	Prec@1 33.594 (33.702)	Prec@5 65.625 (64.018)
Epoch: [10][11980/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 2.7058 (2.7893)	Prec@1 39.062 (33.704)	Prec@5 65.625 (64.019)
Epoch: [10][11990/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.8397 (2.7893)	Prec@1 28.125 (33.704)	Prec@5 59.375 (64.019)
Epoch: [10][12000/14090]	Time 0.839 (0.765)	Data 0.001 (0.001)	Loss 2.7172 (2.7893)	Prec@1 37.500 (33.705)	Prec@5 60.156 (64.018)
Epoch: [10][12010/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.6524 (2.7893)	Prec@1 32.031 (33.704)	Prec@5 63.281 (64.016)
Epoch: [10][12020/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.5398 (2.7893)	Prec@1 39.844 (33.705)	Prec@5 67.969 (64.016)
Epoch: [10][12030/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.9855 (2.7894)	Prec@1 31.250 (33.704)	Prec@5 58.594 (64.015)
Epoch: [10][12040/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.6827 (2.7894)	Prec@1 38.281 (33.705)	Prec@5 66.406 (64.015)
Epoch: [10][12050/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.9325 (2.7894)	Prec@1 27.344 (33.706)	Prec@5 62.500 (64.015)
Epoch: [10][12060/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 2.7640 (2.7894)	Prec@1 37.500 (33.706)	Prec@5 64.844 (64.015)
Epoch: [10][12070/14090]	Time 0.855 (0.765)	Data 0.001 (0.001)	Loss 2.9974 (2.7894)	Prec@1 25.000 (33.704)	Prec@5 59.375 (64.015)
Epoch: [10][12080/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.7025 (2.7894)	Prec@1 32.031 (33.704)	Prec@5 68.750 (64.015)
Epoch: [10][12090/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.3941 (2.7894)	Prec@1 42.188 (33.706)	Prec@5 73.438 (64.017)
Epoch: [10][12100/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.9267 (2.7894)	Prec@1 28.906 (33.706)	Prec@5 60.156 (64.016)
Epoch: [10][12110/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.6834 (2.7893)	Prec@1 35.938 (33.708)	Prec@5 64.844 (64.017)
Epoch: [10][12120/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.9516 (2.7893)	Prec@1 32.812 (33.707)	Prec@5 57.812 (64.017)
Epoch: [10][12130/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.7543 (2.7893)	Prec@1 36.719 (33.706)	Prec@5 66.406 (64.017)
Epoch: [10][12140/14090]	Time 0.869 (0.765)	Data 0.001 (0.001)	Loss 2.9635 (2.7893)	Prec@1 28.125 (33.704)	Prec@5 64.062 (64.017)
Epoch: [10][12150/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.8637 (2.7893)	Prec@1 32.031 (33.705)	Prec@5 63.281 (64.018)
Epoch: [10][12160/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.7553 (2.7893)	Prec@1 32.812 (33.704)	Prec@5 62.500 (64.017)
Epoch: [10][12170/14090]	Time 0.769 (0.765)	Data 0.001 (0.001)	Loss 2.9432 (2.7894)	Prec@1 29.688 (33.703)	Prec@5 63.281 (64.016)
Epoch: [10][12180/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.6846 (2.7895)	Prec@1 41.406 (33.702)	Prec@5 67.188 (64.014)
Epoch: [10][12190/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.9869 (2.7895)	Prec@1 31.250 (33.701)	Prec@5 60.938 (64.014)
Epoch: [10][12200/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 3.0515 (2.7895)	Prec@1 32.812 (33.700)	Prec@5 60.156 (64.014)
Epoch: [10][12210/14090]	Time 0.863 (0.765)	Data 0.001 (0.001)	Loss 2.3466 (2.7895)	Prec@1 42.188 (33.701)	Prec@5 67.188 (64.013)
Epoch: [10][12220/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.7460 (2.7894)	Prec@1 33.594 (33.701)	Prec@5 68.750 (64.014)
Epoch: [10][12230/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.7550 (2.7894)	Prec@1 38.281 (33.702)	Prec@5 64.062 (64.015)
Epoch: [10][12240/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.7829 (2.7894)	Prec@1 35.156 (33.702)	Prec@5 64.844 (64.016)
Epoch: [10][12250/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.7290 (2.7893)	Prec@1 35.156 (33.702)	Prec@5 68.750 (64.017)
Epoch: [10][12260/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.7147 (2.7894)	Prec@1 36.719 (33.703)	Prec@5 64.844 (64.016)
Epoch: [10][12270/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.6810 (2.7893)	Prec@1 36.719 (33.704)	Prec@5 65.625 (64.017)
Epoch: [10][12280/14090]	Time 0.805 (0.765)	Data 0.001 (0.001)	Loss 2.8305 (2.7893)	Prec@1 33.594 (33.703)	Prec@5 60.938 (64.017)
Epoch: [10][12290/14090]	Time 0.778 (0.765)	Data 0.001 (0.001)	Loss 2.5436 (2.7893)	Prec@1 39.844 (33.704)	Prec@5 71.875 (64.017)
Epoch: [10][12300/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.9617 (2.7893)	Prec@1 32.812 (33.704)	Prec@5 60.938 (64.016)
Epoch: [10][12310/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.7551 (2.7893)	Prec@1 36.719 (33.705)	Prec@5 66.406 (64.018)
Epoch: [10][12320/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.9317 (2.7893)	Prec@1 32.812 (33.706)	Prec@5 57.812 (64.018)
Epoch: [10][12330/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.9423 (2.7892)	Prec@1 32.031 (33.708)	Prec@5 57.031 (64.018)
Epoch: [10][12340/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.9098 (2.7892)	Prec@1 30.469 (33.708)	Prec@5 58.594 (64.018)
Epoch: [10][12350/14090]	Time 0.872 (0.765)	Data 0.001 (0.001)	Loss 2.6393 (2.7892)	Prec@1 37.500 (33.708)	Prec@5 68.750 (64.019)
Epoch: [10][12360/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.6925 (2.7892)	Prec@1 35.938 (33.708)	Prec@5 61.719 (64.017)
Epoch: [10][12370/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.8172 (2.7892)	Prec@1 32.031 (33.710)	Prec@5 60.156 (64.018)
Epoch: [10][12380/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.7009 (2.7892)	Prec@1 34.375 (33.711)	Prec@5 68.750 (64.019)
Epoch: [10][12390/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 2.7090 (2.7891)	Prec@1 35.938 (33.712)	Prec@5 67.188 (64.020)
Epoch: [10][12400/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.8568 (2.7891)	Prec@1 34.375 (33.713)	Prec@5 59.375 (64.020)
Epoch: [10][12410/14090]	Time 0.767 (0.765)	Data 0.001 (0.001)	Loss 2.7331 (2.7891)	Prec@1 34.375 (33.714)	Prec@5 67.969 (64.020)
Epoch: [10][12420/14090]	Time 0.863 (0.765)	Data 0.001 (0.001)	Loss 2.7871 (2.7891)	Prec@1 31.250 (33.714)	Prec@5 64.062 (64.020)
Epoch: [10][12430/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.6768 (2.7890)	Prec@1 35.156 (33.715)	Prec@5 66.406 (64.021)
Epoch: [10][12440/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 3.0694 (2.7890)	Prec@1 27.344 (33.715)	Prec@5 56.250 (64.021)
Epoch: [10][12450/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.8106 (2.7890)	Prec@1 32.031 (33.715)	Prec@5 62.500 (64.021)
Epoch: [10][12460/14090]	Time 0.775 (0.765)	Data 0.001 (0.001)	Loss 2.8836 (2.7890)	Prec@1 29.688 (33.715)	Prec@5 64.844 (64.022)
Epoch: [10][12470/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.9240 (2.7890)	Prec@1 32.031 (33.713)	Prec@5 64.062 (64.020)
Epoch: [10][12480/14090]	Time 0.722 (0.765)	Data 0.001 (0.001)	Loss 2.6421 (2.7890)	Prec@1 33.594 (33.713)	Prec@5 65.625 (64.020)
Epoch: [10][12490/14090]	Time 0.870 (0.765)	Data 0.001 (0.001)	Loss 2.6492 (2.7890)	Prec@1 33.594 (33.712)	Prec@5 64.844 (64.019)
Epoch: [10][12500/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.6787 (2.7889)	Prec@1 31.250 (33.713)	Prec@5 65.625 (64.020)
Epoch: [10][12510/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.9435 (2.7889)	Prec@1 26.562 (33.713)	Prec@5 63.281 (64.020)
Epoch: [10][12520/14090]	Time 0.769 (0.765)	Data 0.001 (0.001)	Loss 2.7629 (2.7889)	Prec@1 38.281 (33.714)	Prec@5 59.375 (64.020)
Epoch: [10][12530/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.7083 (2.7889)	Prec@1 35.938 (33.712)	Prec@5 62.500 (64.018)
Epoch: [10][12540/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.6499 (2.7889)	Prec@1 32.031 (33.713)	Prec@5 67.188 (64.018)
Epoch: [10][12550/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 3.0298 (2.7890)	Prec@1 28.125 (33.713)	Prec@5 56.250 (64.018)
Epoch: [10][12560/14090]	Time 0.872 (0.765)	Data 0.001 (0.001)	Loss 2.7791 (2.7890)	Prec@1 39.844 (33.711)	Prec@5 63.281 (64.017)
Epoch: [10][12570/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.5870 (2.7890)	Prec@1 41.406 (33.712)	Prec@5 67.188 (64.017)
Epoch: [10][12580/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.8496 (2.7890)	Prec@1 38.281 (33.713)	Prec@5 64.062 (64.016)
Epoch: [10][12590/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 3.1822 (2.7891)	Prec@1 28.125 (33.713)	Prec@5 60.156 (64.016)
Epoch: [10][12600/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 3.0393 (2.7890)	Prec@1 25.000 (33.714)	Prec@5 59.375 (64.016)
Epoch: [10][12610/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.7843 (2.7890)	Prec@1 32.812 (33.714)	Prec@5 60.938 (64.017)
Epoch: [10][12620/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 3.1097 (2.7890)	Prec@1 28.906 (33.713)	Prec@5 60.156 (64.017)
Epoch: [10][12630/14090]	Time 0.846 (0.765)	Data 0.001 (0.001)	Loss 2.6514 (2.7890)	Prec@1 38.281 (33.712)	Prec@5 69.531 (64.017)
Epoch: [10][12640/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.8396 (2.7891)	Prec@1 32.031 (33.710)	Prec@5 62.500 (64.017)
Epoch: [10][12650/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.9457 (2.7891)	Prec@1 28.125 (33.708)	Prec@5 59.375 (64.016)
Epoch: [10][12660/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.6311 (2.7891)	Prec@1 35.938 (33.709)	Prec@5 64.062 (64.016)
Epoch: [10][12670/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.9242 (2.7891)	Prec@1 29.688 (33.709)	Prec@5 64.844 (64.016)
Epoch: [10][12680/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 3.0010 (2.7891)	Prec@1 31.250 (33.708)	Prec@5 60.156 (64.015)
Epoch: [10][12690/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.6318 (2.7891)	Prec@1 31.250 (33.707)	Prec@5 72.656 (64.014)
Epoch: [10][12700/14090]	Time 0.897 (0.765)	Data 0.001 (0.001)	Loss 3.0560 (2.7892)	Prec@1 28.125 (33.706)	Prec@5 60.156 (64.014)
Epoch: [10][12710/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 3.0425 (2.7892)	Prec@1 27.344 (33.706)	Prec@5 57.031 (64.014)
Epoch: [10][12720/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.5418 (2.7891)	Prec@1 32.812 (33.706)	Prec@5 71.094 (64.016)
Epoch: [10][12730/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 3.0914 (2.7891)	Prec@1 32.812 (33.707)	Prec@5 57.031 (64.017)
Epoch: [10][12740/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.6882 (2.7891)	Prec@1 35.938 (33.708)	Prec@5 65.625 (64.016)
Epoch: [10][12750/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.6378 (2.7891)	Prec@1 35.156 (33.707)	Prec@5 61.719 (64.015)
Epoch: [10][12760/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.9723 (2.7891)	Prec@1 32.812 (33.706)	Prec@5 54.688 (64.014)
Epoch: [10][12770/14090]	Time 0.855 (0.765)	Data 0.001 (0.001)	Loss 2.6890 (2.7891)	Prec@1 39.844 (33.706)	Prec@5 67.188 (64.015)
Epoch: [10][12780/14090]	Time 0.769 (0.765)	Data 0.001 (0.001)	Loss 2.8374 (2.7891)	Prec@1 35.156 (33.708)	Prec@5 59.375 (64.016)
Epoch: [10][12790/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 2.5872 (2.7891)	Prec@1 37.500 (33.708)	Prec@5 69.531 (64.016)
Epoch: [10][12800/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 3.0111 (2.7891)	Prec@1 33.594 (33.708)	Prec@5 58.594 (64.014)
Epoch: [10][12810/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.5504 (2.7891)	Prec@1 34.375 (33.708)	Prec@5 70.312 (64.014)
Epoch: [10][12820/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.6547 (2.7891)	Prec@1 29.688 (33.708)	Prec@5 66.406 (64.016)
Epoch: [10][12830/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.7389 (2.7890)	Prec@1 32.031 (33.707)	Prec@5 67.188 (64.017)
Epoch: [10][12840/14090]	Time 0.860 (0.765)	Data 0.001 (0.001)	Loss 2.6489 (2.7891)	Prec@1 35.156 (33.706)	Prec@5 67.188 (64.017)
Epoch: [10][12850/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.8123 (2.7891)	Prec@1 35.156 (33.704)	Prec@5 63.281 (64.017)
Epoch: [10][12860/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.7434 (2.7892)	Prec@1 33.594 (33.702)	Prec@5 61.719 (64.016)
Epoch: [10][12870/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.6104 (2.7892)	Prec@1 38.281 (33.701)	Prec@5 69.531 (64.015)
Epoch: [10][12880/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.7003 (2.7891)	Prec@1 35.938 (33.702)	Prec@5 67.969 (64.017)
Epoch: [10][12890/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.7055 (2.7891)	Prec@1 25.781 (33.701)	Prec@5 64.062 (64.017)
Epoch: [10][12900/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.8456 (2.7891)	Prec@1 30.469 (33.701)	Prec@5 64.062 (64.016)
Epoch: [10][12910/14090]	Time 0.874 (0.765)	Data 0.001 (0.001)	Loss 2.6818 (2.7891)	Prec@1 35.156 (33.701)	Prec@5 64.844 (64.019)
Epoch: [10][12920/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 3.1112 (2.7891)	Prec@1 32.031 (33.700)	Prec@5 60.938 (64.020)
Epoch: [10][12930/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.6580 (2.7891)	Prec@1 35.938 (33.698)	Prec@5 66.406 (64.019)
Epoch: [10][12940/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 2.9133 (2.7892)	Prec@1 28.125 (33.698)	Prec@5 65.625 (64.018)
Epoch: [10][12950/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.6355 (2.7892)	Prec@1 39.062 (33.697)	Prec@5 69.531 (64.019)
Epoch: [10][12960/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.6619 (2.7891)	Prec@1 35.156 (33.699)	Prec@5 66.406 (64.020)
Epoch: [10][12970/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 2.7288 (2.7891)	Prec@1 36.719 (33.699)	Prec@5 59.375 (64.021)
Epoch: [10][12980/14090]	Time 0.857 (0.765)	Data 0.001 (0.001)	Loss 2.6394 (2.7891)	Prec@1 39.062 (33.700)	Prec@5 64.844 (64.019)
Epoch: [10][12990/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.5838 (2.7891)	Prec@1 32.812 (33.701)	Prec@5 64.062 (64.019)
Epoch: [10][13000/14090]	Time 0.732 (0.764)	Data 0.001 (0.001)	Loss 2.6392 (2.7892)	Prec@1 32.812 (33.700)	Prec@5 71.094 (64.019)
Epoch: [10][13010/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.7996 (2.7891)	Prec@1 33.594 (33.702)	Prec@5 64.844 (64.020)
Epoch: [10][13020/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 2.7109 (2.7890)	Prec@1 37.500 (33.702)	Prec@5 63.281 (64.021)
Epoch: [10][13030/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.9967 (2.7890)	Prec@1 27.344 (33.703)	Prec@5 60.938 (64.022)
Epoch: [10][13040/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 2.7100 (2.7890)	Prec@1 35.938 (33.703)	Prec@5 68.750 (64.023)
Epoch: [10][13050/14090]	Time 0.878 (0.765)	Data 0.001 (0.001)	Loss 2.7675 (2.7890)	Prec@1 29.688 (33.702)	Prec@5 64.844 (64.024)
Epoch: [10][13060/14090]	Time 0.730 (0.764)	Data 0.001 (0.001)	Loss 2.8145 (2.7890)	Prec@1 32.812 (33.702)	Prec@5 64.844 (64.024)
Epoch: [10][13070/14090]	Time 0.761 (0.764)	Data 0.001 (0.001)	Loss 2.4754 (2.7891)	Prec@1 40.625 (33.703)	Prec@5 69.531 (64.023)
Epoch: [10][13080/14090]	Time 0.721 (0.764)	Data 0.001 (0.001)	Loss 3.1160 (2.7891)	Prec@1 22.656 (33.701)	Prec@5 60.156 (64.021)
Epoch: [10][13090/14090]	Time 0.744 (0.764)	Data 0.001 (0.001)	Loss 2.6933 (2.7891)	Prec@1 31.250 (33.702)	Prec@5 67.188 (64.022)
Epoch: [10][13100/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 2.6343 (2.7891)	Prec@1 34.375 (33.701)	Prec@5 67.969 (64.021)
Epoch: [10][13110/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 2.7421 (2.7891)	Prec@1 29.688 (33.702)	Prec@5 64.844 (64.021)
Epoch: [10][13120/14090]	Time 0.861 (0.764)	Data 0.001 (0.001)	Loss 2.4597 (2.7891)	Prec@1 39.844 (33.702)	Prec@5 70.312 (64.021)
Epoch: [10][13130/14090]	Time 0.745 (0.764)	Data 0.001 (0.001)	Loss 2.6699 (2.7890)	Prec@1 32.031 (33.702)	Prec@5 67.188 (64.020)
Epoch: [10][13140/14090]	Time 0.745 (0.764)	Data 0.001 (0.001)	Loss 2.9571 (2.7891)	Prec@1 27.344 (33.701)	Prec@5 60.156 (64.020)
Epoch: [10][13150/14090]	Time 0.776 (0.764)	Data 0.001 (0.001)	Loss 2.8020 (2.7891)	Prec@1 32.031 (33.701)	Prec@5 62.500 (64.019)
Epoch: [10][13160/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 2.6288 (2.7891)	Prec@1 35.938 (33.701)	Prec@5 65.625 (64.019)
Epoch: [10][13170/14090]	Time 0.744 (0.764)	Data 0.001 (0.001)	Loss 2.5768 (2.7891)	Prec@1 37.500 (33.700)	Prec@5 72.656 (64.019)
Epoch: [10][13180/14090]	Time 0.735 (0.764)	Data 0.001 (0.001)	Loss 2.6920 (2.7891)	Prec@1 35.156 (33.700)	Prec@5 65.625 (64.017)
Epoch: [10][13190/14090]	Time 0.824 (0.764)	Data 0.001 (0.001)	Loss 2.6598 (2.7891)	Prec@1 35.156 (33.700)	Prec@5 66.406 (64.016)
Epoch: [10][13200/14090]	Time 0.735 (0.764)	Data 0.001 (0.001)	Loss 2.9891 (2.7892)	Prec@1 32.812 (33.701)	Prec@5 61.719 (64.015)
Epoch: [10][13210/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 2.7941 (2.7892)	Prec@1 34.375 (33.700)	Prec@5 66.406 (64.015)
Epoch: [10][13220/14090]	Time 0.775 (0.764)	Data 0.001 (0.001)	Loss 2.6032 (2.7892)	Prec@1 32.812 (33.699)	Prec@5 68.750 (64.014)
Epoch: [10][13230/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 3.0872 (2.7893)	Prec@1 25.000 (33.696)	Prec@5 57.031 (64.013)
Epoch: [10][13240/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 3.1025 (2.7892)	Prec@1 26.562 (33.697)	Prec@5 55.469 (64.013)
Epoch: [10][13250/14090]	Time 0.743 (0.764)	Data 0.001 (0.001)	Loss 2.9480 (2.7892)	Prec@1 38.281 (33.698)	Prec@5 60.938 (64.013)
Epoch: [10][13260/14090]	Time 0.851 (0.764)	Data 0.001 (0.001)	Loss 2.9952 (2.7892)	Prec@1 28.125 (33.700)	Prec@5 60.938 (64.014)
Epoch: [10][13270/14090]	Time 0.732 (0.764)	Data 0.001 (0.001)	Loss 2.7461 (2.7891)	Prec@1 34.375 (33.700)	Prec@5 64.844 (64.014)
Epoch: [10][13280/14090]	Time 0.765 (0.764)	Data 0.001 (0.001)	Loss 2.9432 (2.7891)	Prec@1 35.938 (33.701)	Prec@5 60.938 (64.015)
Epoch: [10][13290/14090]	Time 0.763 (0.764)	Data 0.001 (0.001)	Loss 2.7562 (2.7891)	Prec@1 39.844 (33.701)	Prec@5 64.062 (64.015)
Epoch: [10][13300/14090]	Time 0.746 (0.764)	Data 0.001 (0.001)	Loss 2.6494 (2.7891)	Prec@1 37.500 (33.701)	Prec@5 67.188 (64.015)
Epoch: [10][13310/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 2.4644 (2.7891)	Prec@1 42.188 (33.703)	Prec@5 68.750 (64.016)
Epoch: [10][13320/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 2.5519 (2.7891)	Prec@1 36.719 (33.703)	Prec@5 68.750 (64.015)
Epoch: [10][13330/14090]	Time 0.842 (0.764)	Data 0.001 (0.001)	Loss 2.9480 (2.7891)	Prec@1 28.906 (33.705)	Prec@5 60.156 (64.016)
Epoch: [10][13340/14090]	Time 0.726 (0.764)	Data 0.001 (0.001)	Loss 2.7167 (2.7890)	Prec@1 38.281 (33.704)	Prec@5 67.969 (64.017)
Epoch: [10][13350/14090]	Time 0.734 (0.764)	Data 0.001 (0.001)	Loss 2.7875 (2.7891)	Prec@1 30.469 (33.703)	Prec@5 61.719 (64.015)
Epoch: [10][13360/14090]	Time 0.768 (0.764)	Data 0.001 (0.001)	Loss 2.9577 (2.7890)	Prec@1 32.812 (33.704)	Prec@5 59.375 (64.016)
Epoch: [10][13370/14090]	Time 0.776 (0.764)	Data 0.001 (0.001)	Loss 2.9015 (2.7890)	Prec@1 31.250 (33.703)	Prec@5 60.156 (64.016)
Epoch: [10][13380/14090]	Time 0.739 (0.764)	Data 0.001 (0.001)	Loss 2.4786 (2.7890)	Prec@1 43.750 (33.704)	Prec@5 69.531 (64.015)
Epoch: [10][13390/14090]	Time 0.758 (0.764)	Data 0.001 (0.001)	Loss 2.9448 (2.7891)	Prec@1 28.906 (33.704)	Prec@5 62.500 (64.014)
Epoch: [10][13400/14090]	Time 0.850 (0.764)	Data 0.001 (0.001)	Loss 2.5531 (2.7890)	Prec@1 39.844 (33.705)	Prec@5 67.969 (64.015)
Epoch: [10][13410/14090]	Time 0.736 (0.764)	Data 0.001 (0.001)	Loss 2.6151 (2.7891)	Prec@1 29.688 (33.705)	Prec@5 67.188 (64.014)
Epoch: [10][13420/14090]	Time 0.763 (0.764)	Data 0.001 (0.001)	Loss 2.9492 (2.7891)	Prec@1 28.906 (33.705)	Prec@5 64.844 (64.014)
Epoch: [10][13430/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 2.9250 (2.7891)	Prec@1 29.688 (33.704)	Prec@5 60.938 (64.013)
Epoch: [10][13440/14090]	Time 0.727 (0.764)	Data 0.001 (0.001)	Loss 2.6190 (2.7891)	Prec@1 34.375 (33.704)	Prec@5 68.750 (64.013)
Epoch: [10][13450/14090]	Time 0.734 (0.764)	Data 0.001 (0.001)	Loss 2.9662 (2.7891)	Prec@1 28.125 (33.702)	Prec@5 61.719 (64.013)
Epoch: [10][13460/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 3.1308 (2.7891)	Prec@1 29.688 (33.703)	Prec@5 57.031 (64.012)
Epoch: [10][13470/14090]	Time 0.875 (0.764)	Data 0.001 (0.001)	Loss 2.6639 (2.7891)	Prec@1 35.938 (33.702)	Prec@5 64.062 (64.012)
Epoch: [10][13480/14090]	Time 0.735 (0.764)	Data 0.001 (0.001)	Loss 3.1176 (2.7892)	Prec@1 29.688 (33.702)	Prec@5 58.594 (64.011)
Epoch: [10][13490/14090]	Time 0.734 (0.764)	Data 0.001 (0.001)	Loss 2.6166 (2.7892)	Prec@1 36.719 (33.702)	Prec@5 67.188 (64.011)
Epoch: [10][13500/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 2.7350 (2.7892)	Prec@1 34.375 (33.703)	Prec@5 68.750 (64.012)
Epoch: [10][13510/14090]	Time 0.766 (0.764)	Data 0.001 (0.001)	Loss 2.6420 (2.7891)	Prec@1 32.812 (33.703)	Prec@5 70.312 (64.013)
Epoch: [10][13520/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 2.7569 (2.7891)	Prec@1 32.031 (33.703)	Prec@5 65.625 (64.013)
Epoch: [10][13530/14090]	Time 0.727 (0.764)	Data 0.001 (0.001)	Loss 2.6939 (2.7891)	Prec@1 34.375 (33.703)	Prec@5 63.281 (64.013)
Epoch: [10][13540/14090]	Time 0.874 (0.764)	Data 0.001 (0.001)	Loss 2.8794 (2.7892)	Prec@1 38.281 (33.703)	Prec@5 60.156 (64.012)
Epoch: [10][13550/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 2.8715 (2.7891)	Prec@1 31.250 (33.703)	Prec@5 60.938 (64.012)
Epoch: [10][13560/14090]	Time 0.734 (0.764)	Data 0.001 (0.001)	Loss 2.9608 (2.7891)	Prec@1 35.938 (33.703)	Prec@5 57.812 (64.010)
Epoch: [10][13570/14090]	Time 0.761 (0.764)	Data 0.001 (0.001)	Loss 2.7536 (2.7891)	Prec@1 35.938 (33.703)	Prec@5 70.312 (64.011)
Epoch: [10][13580/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.5994 (2.7892)	Prec@1 36.719 (33.703)	Prec@5 67.969 (64.011)
Epoch: [10][13590/14090]	Time 0.758 (0.764)	Data 0.001 (0.001)	Loss 2.7405 (2.7891)	Prec@1 39.844 (33.705)	Prec@5 60.938 (64.011)
Epoch: [10][13600/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.7843 (2.7891)	Prec@1 32.031 (33.705)	Prec@5 59.375 (64.010)
Epoch: [10][13610/14090]	Time 0.882 (0.764)	Data 0.001 (0.001)	Loss 2.7029 (2.7890)	Prec@1 35.938 (33.707)	Prec@5 64.062 (64.011)
Epoch: [10][13620/14090]	Time 0.725 (0.764)	Data 0.001 (0.001)	Loss 2.8295 (2.7890)	Prec@1 33.594 (33.706)	Prec@5 62.500 (64.011)
Epoch: [10][13630/14090]	Time 0.740 (0.764)	Data 0.001 (0.001)	Loss 2.5342 (2.7891)	Prec@1 37.500 (33.706)	Prec@5 67.969 (64.010)
Epoch: [10][13640/14090]	Time 0.746 (0.764)	Data 0.001 (0.001)	Loss 3.0077 (2.7891)	Prec@1 25.000 (33.707)	Prec@5 59.375 (64.010)
Epoch: [10][13650/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 2.9118 (2.7891)	Prec@1 32.812 (33.707)	Prec@5 57.031 (64.009)
Epoch: [10][13660/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 2.7893 (2.7890)	Prec@1 32.031 (33.708)	Prec@5 66.406 (64.009)
Epoch: [10][13670/14090]	Time 0.750 (0.764)	Data 0.002 (0.001)	Loss 2.5133 (2.7891)	Prec@1 44.531 (33.707)	Prec@5 67.188 (64.008)
Epoch: [10][13680/14090]	Time 0.867 (0.765)	Data 0.001 (0.001)	Loss 3.0993 (2.7891)	Prec@1 32.812 (33.707)	Prec@5 62.500 (64.009)
Epoch: [10][13690/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.8873 (2.7891)	Prec@1 32.031 (33.707)	Prec@5 60.156 (64.008)
Epoch: [10][13700/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.8263 (2.7891)	Prec@1 31.250 (33.708)	Prec@5 66.406 (64.009)
Epoch: [10][13710/14090]	Time 0.725 (0.764)	Data 0.001 (0.001)	Loss 2.6415 (2.7891)	Prec@1 35.938 (33.709)	Prec@5 69.531 (64.010)
Epoch: [10][13720/14090]	Time 0.736 (0.764)	Data 0.001 (0.001)	Loss 2.8196 (2.7890)	Prec@1 32.031 (33.710)	Prec@5 62.500 (64.011)
Epoch: [10][13730/14090]	Time 0.739 (0.764)	Data 0.001 (0.001)	Loss 2.9750 (2.7891)	Prec@1 35.156 (33.709)	Prec@5 61.719 (64.010)
Epoch: [10][13740/14090]	Time 0.724 (0.764)	Data 0.001 (0.001)	Loss 2.8924 (2.7891)	Prec@1 30.469 (33.709)	Prec@5 61.719 (64.011)
Epoch: [10][13750/14090]	Time 0.832 (0.764)	Data 0.001 (0.001)	Loss 2.7281 (2.7891)	Prec@1 35.938 (33.709)	Prec@5 66.406 (64.010)
Epoch: [10][13760/14090]	Time 0.769 (0.764)	Data 0.001 (0.001)	Loss 2.6856 (2.7890)	Prec@1 33.594 (33.710)	Prec@5 64.844 (64.011)
Epoch: [10][13770/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 2.5745 (2.7890)	Prec@1 40.625 (33.711)	Prec@5 69.531 (64.011)
Epoch: [10][13780/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 2.5195 (2.7890)	Prec@1 41.406 (33.711)	Prec@5 66.406 (64.011)
Epoch: [10][13790/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 3.0769 (2.7890)	Prec@1 32.031 (33.711)	Prec@5 59.375 (64.011)
Epoch: [10][13800/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 2.5080 (2.7890)	Prec@1 38.281 (33.709)	Prec@5 64.844 (64.009)
Epoch: [10][13810/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 2.8002 (2.7890)	Prec@1 32.812 (33.709)	Prec@5 66.406 (64.011)
Epoch: [10][13820/14090]	Time 0.864 (0.764)	Data 0.001 (0.001)	Loss 2.8139 (2.7890)	Prec@1 35.938 (33.710)	Prec@5 62.500 (64.010)
Epoch: [10][13830/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.5741 (2.7890)	Prec@1 40.625 (33.711)	Prec@5 71.875 (64.012)
Epoch: [10][13840/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.9757 (2.7890)	Prec@1 29.688 (33.711)	Prec@5 60.938 (64.011)
Epoch: [10][13850/14090]	Time 0.774 (0.765)	Data 0.001 (0.001)	Loss 2.6822 (2.7890)	Prec@1 34.375 (33.710)	Prec@5 61.719 (64.011)
Epoch: [10][13860/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.6236 (2.7890)	Prec@1 37.500 (33.710)	Prec@5 67.969 (64.011)
Epoch: [10][13870/14090]	Time 0.767 (0.765)	Data 0.001 (0.001)	Loss 2.8917 (2.7890)	Prec@1 35.938 (33.710)	Prec@5 57.031 (64.010)
Epoch: [10][13880/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.6160 (2.7890)	Prec@1 36.719 (33.708)	Prec@5 71.875 (64.011)
Epoch: [10][13890/14090]	Time 0.914 (0.765)	Data 0.001 (0.001)	Loss 2.7258 (2.7890)	Prec@1 38.281 (33.709)	Prec@5 67.188 (64.010)
Epoch: [10][13900/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.8560 (2.7891)	Prec@1 36.719 (33.708)	Prec@5 60.156 (64.010)
Epoch: [10][13910/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 3.0199 (2.7891)	Prec@1 30.469 (33.708)	Prec@5 60.938 (64.008)
Epoch: [10][13920/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.9177 (2.7891)	Prec@1 32.031 (33.708)	Prec@5 57.812 (64.008)
Epoch: [10][13930/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 3.1095 (2.7891)	Prec@1 26.562 (33.708)	Prec@5 55.469 (64.008)
Epoch: [10][13940/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 2.8067 (2.7892)	Prec@1 32.812 (33.708)	Prec@5 59.375 (64.006)
Epoch: [10][13950/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 3.0224 (2.7892)	Prec@1 28.906 (33.707)	Prec@5 57.031 (64.006)
Epoch: [10][13960/14090]	Time 0.877 (0.765)	Data 0.001 (0.001)	Loss 2.2882 (2.7892)	Prec@1 45.312 (33.709)	Prec@5 73.438 (64.007)
Epoch: [10][13970/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.6207 (2.7892)	Prec@1 37.500 (33.709)	Prec@5 67.188 (64.007)
Epoch: [10][13980/14090]	Time 0.768 (0.765)	Data 0.001 (0.001)	Loss 3.0352 (2.7892)	Prec@1 28.125 (33.709)	Prec@5 60.156 (64.007)
Epoch: [10][13990/14090]	Time 0.776 (0.765)	Data 0.001 (0.001)	Loss 2.6116 (2.7892)	Prec@1 35.156 (33.708)	Prec@5 71.875 (64.009)
Epoch: [10][14000/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.7324 (2.7892)	Prec@1 33.594 (33.708)	Prec@5 66.406 (64.010)
Epoch: [10][14010/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.8908 (2.7892)	Prec@1 36.719 (33.707)	Prec@5 60.938 (64.009)
Epoch: [10][14020/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.8088 (2.7892)	Prec@1 32.812 (33.709)	Prec@5 63.281 (64.009)
Epoch: [10][14030/14090]	Time 0.863 (0.765)	Data 0.001 (0.001)	Loss 3.1384 (2.7891)	Prec@1 30.469 (33.709)	Prec@5 53.125 (64.010)
Epoch: [10][14040/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.4799 (2.7892)	Prec@1 35.938 (33.708)	Prec@5 75.781 (64.009)
Epoch: [10][14050/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 3.0979 (2.7892)	Prec@1 25.000 (33.707)	Prec@5 59.375 (64.009)
Epoch: [10][14060/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.9446 (2.7893)	Prec@1 28.125 (33.705)	Prec@5 55.469 (64.009)
Epoch: [10][14070/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.9762 (2.7893)	Prec@1 25.781 (33.704)	Prec@5 55.469 (64.008)
Epoch: [10][14080/14090]	Time 0.754 (0.765)	Data 0.000 (0.001)	Loss 2.7994 (2.7893)	Prec@1 32.812 (33.704)	Prec@5 65.625 (64.007)
Test: [0/286]	Time 3.119 (3.119)	Loss 1.9009 (1.9009)	Prec@1 46.094 (46.094)	Prec@5 90.625 (90.625)
Test: [10/286]	Time 0.234 (0.514)	Loss 3.0295 (2.6645)	Prec@1 14.062 (33.097)	Prec@5 70.312 (71.307)
Test: [20/286]	Time 0.326 (0.392)	Loss 2.0524 (2.4943)	Prec@1 57.812 (38.430)	Prec@5 82.812 (73.177)
Test: [30/286]	Time 0.266 (0.348)	Loss 2.8166 (2.4699)	Prec@1 29.688 (39.415)	Prec@5 67.188 (72.757)
Test: [40/286]	Time 0.237 (0.325)	Loss 1.8570 (2.4913)	Prec@1 46.094 (38.262)	Prec@5 84.375 (72.351)
Test: [50/286]	Time 0.241 (0.311)	Loss 1.1408 (2.4572)	Prec@1 77.344 (38.986)	Prec@5 85.938 (72.641)
Test: [60/286]	Time 0.243 (0.301)	Loss 3.6046 (2.4556)	Prec@1 25.000 (39.818)	Prec@5 51.562 (71.952)
Test: [70/286]	Time 0.293 (0.295)	Loss 2.2305 (2.4742)	Prec@1 46.094 (39.250)	Prec@5 75.781 (71.446)
Test: [80/286]	Time 0.268 (0.291)	Loss 2.9934 (2.5238)	Prec@1 26.562 (38.050)	Prec@5 59.375 (70.303)
Test: [90/286]	Time 0.227 (0.285)	Loss 2.3587 (2.5087)	Prec@1 40.625 (38.436)	Prec@5 73.438 (70.673)
Test: [100/286]	Time 0.266 (0.282)	Loss 3.3282 (2.4996)	Prec@1 14.062 (38.521)	Prec@5 57.031 (71.040)
Test: [110/286]	Time 0.254 (0.279)	Loss 2.5704 (2.5172)	Prec@1 37.500 (38.014)	Prec@5 66.406 (70.707)
Test: [120/286]	Time 0.303 (0.277)	Loss 2.2929 (2.5049)	Prec@1 47.656 (38.397)	Prec@5 73.438 (71.003)
Test: [130/286]	Time 0.235 (0.274)	Loss 1.4348 (2.4867)	Prec@1 62.500 (38.794)	Prec@5 84.375 (71.291)
Test: [140/286]	Time 0.241 (0.272)	Loss 2.6869 (2.4752)	Prec@1 40.625 (39.162)	Prec@5 66.406 (71.426)
Test: [150/286]	Time 0.233 (0.270)	Loss 3.1936 (2.4695)	Prec@1 23.438 (39.140)	Prec@5 60.938 (71.585)
Test: [160/286]	Time 0.261 (0.269)	Loss 2.8512 (2.4718)	Prec@1 22.656 (39.004)	Prec@5 67.188 (71.613)
Test: [170/286]	Time 0.236 (0.269)	Loss 2.2305 (2.4796)	Prec@1 43.750 (38.702)	Prec@5 73.438 (71.432)
Test: [180/286]	Time 0.232 (0.268)	Loss 2.7651 (2.4949)	Prec@1 42.188 (38.454)	Prec@5 64.844 (71.124)
Test: [190/286]	Time 0.238 (0.267)	Loss 3.4762 (2.5054)	Prec@1 10.938 (38.236)	Prec@5 60.156 (70.987)
Test: [200/286]	Time 0.244 (0.266)	Loss 2.6655 (2.4966)	Prec@1 46.875 (38.592)	Prec@5 75.781 (71.195)
Test: [210/286]	Time 0.241 (0.265)	Loss 2.5469 (2.5093)	Prec@1 41.406 (38.418)	Prec@5 73.438 (70.909)
Test: [220/286]	Time 0.263 (0.265)	Loss 4.4014 (2.5148)	Prec@1 7.031 (38.394)	Prec@5 29.688 (70.666)
Test: [230/286]	Time 0.246 (0.264)	Loss 1.3815 (2.5257)	Prec@1 68.750 (38.349)	Prec@5 87.500 (70.482)
Test: [240/286]	Time 0.241 (0.264)	Loss 2.6680 (2.5285)	Prec@1 38.281 (38.255)	Prec@5 71.875 (70.484)
Test: [250/286]	Time 0.242 (0.264)	Loss 2.0019 (2.5160)	Prec@1 48.438 (38.372)	Prec@5 78.906 (70.820)
Test: [260/286]	Time 0.246 (0.263)	Loss 2.7743 (2.5012)	Prec@1 30.469 (38.643)	Prec@5 66.406 (71.076)
Test: [270/286]	Time 0.264 (0.263)	Loss 1.6059 (2.4965)	Prec@1 59.375 (38.800)	Prec@5 82.812 (71.146)
Test: [280/286]	Time 0.238 (0.262)	Loss 2.5189 (2.4813)	Prec@1 35.156 (39.182)	Prec@5 73.438 (71.286)
 * Prec@1 39.395 Prec@5 71.364
Epoch: [11][0/14090]	Time 4.411 (4.411)	Data 3.536 (3.536)	Loss 2.5054 (2.5054)	Prec@1 39.062 (39.062)	Prec@5 71.875 (71.875)
Epoch: [11][10/14090]	Time 0.721 (1.073)	Data 0.001 (0.322)	Loss 3.0077 (2.8848)	Prec@1 29.688 (31.960)	Prec@5 61.719 (62.713)
Epoch: [11][20/14090]	Time 0.723 (0.914)	Data 0.001 (0.169)	Loss 2.7223 (2.8211)	Prec@1 37.500 (32.515)	Prec@5 65.625 (63.988)
Epoch: [11][30/14090]	Time 0.755 (0.870)	Data 0.001 (0.115)	Loss 2.7966 (2.8094)	Prec@1 29.688 (33.014)	Prec@5 66.406 (64.012)
Epoch: [11][40/14090]	Time 0.730 (0.840)	Data 0.001 (0.087)	Loss 2.8413 (2.8045)	Prec@1 32.031 (33.213)	Prec@5 60.938 (63.758)
Epoch: [11][50/14090]	Time 0.737 (0.827)	Data 0.001 (0.070)	Loss 2.6485 (2.7918)	Prec@1 35.938 (33.517)	Prec@5 64.844 (64.062)
Epoch: [11][60/14090]	Time 0.730 (0.816)	Data 0.001 (0.059)	Loss 2.8512 (2.7820)	Prec@1 31.250 (33.683)	Prec@5 67.188 (64.242)
Epoch: [11][70/14090]	Time 0.889 (0.810)	Data 0.001 (0.051)	Loss 2.7771 (2.7717)	Prec@1 34.375 (33.990)	Prec@5 67.188 (64.448)
Epoch: [11][80/14090]	Time 0.740 (0.805)	Data 0.001 (0.044)	Loss 2.7478 (2.7667)	Prec@1 32.031 (34.076)	Prec@5 63.281 (64.371)
Epoch: [11][90/14090]	Time 0.737 (0.801)	Data 0.001 (0.040)	Loss 2.8250 (2.7734)	Prec@1 35.938 (33.989)	Prec@5 64.844 (64.269)
Epoch: [11][100/14090]	Time 0.735 (0.799)	Data 0.001 (0.036)	Loss 2.6914 (2.7711)	Prec@1 34.375 (33.988)	Prec@5 64.062 (64.325)
Epoch: [11][110/14090]	Time 0.754 (0.796)	Data 0.001 (0.033)	Loss 2.9675 (2.7739)	Prec@1 37.500 (33.974)	Prec@5 63.281 (64.288)
Epoch: [11][120/14090]	Time 0.754 (0.795)	Data 0.001 (0.030)	Loss 2.6464 (2.7758)	Prec@1 36.719 (33.891)	Prec@5 66.406 (64.224)
Epoch: [11][130/14090]	Time 0.782 (0.792)	Data 0.001 (0.028)	Loss 2.6165 (2.7710)	Prec@1 34.375 (33.987)	Prec@5 64.844 (64.271)
Epoch: [11][140/14090]	Time 0.857 (0.791)	Data 0.001 (0.026)	Loss 2.9904 (2.7664)	Prec@1 31.250 (34.148)	Prec@5 58.594 (64.351)
Epoch: [11][150/14090]	Time 0.764 (0.790)	Data 0.001 (0.024)	Loss 3.0332 (2.7668)	Prec@1 30.469 (34.137)	Prec@5 55.469 (64.321)
Epoch: [11][160/14090]	Time 0.722 (0.788)	Data 0.001 (0.023)	Loss 2.6695 (2.7741)	Prec@1 38.281 (33.977)	Prec@5 63.281 (64.261)
Epoch: [11][170/14090]	Time 0.740 (0.787)	Data 0.001 (0.022)	Loss 2.5837 (2.7708)	Prec@1 38.281 (34.028)	Prec@5 69.531 (64.373)
Epoch: [11][180/14090]	Time 0.725 (0.786)	Data 0.002 (0.020)	Loss 2.9699 (2.7720)	Prec@1 32.812 (34.017)	Prec@5 61.719 (64.321)
Epoch: [11][190/14090]	Time 0.757 (0.785)	Data 0.001 (0.019)	Loss 2.5561 (2.7691)	Prec@1 44.531 (34.089)	Prec@5 70.312 (64.365)
Epoch: [11][200/14090]	Time 0.736 (0.784)	Data 0.001 (0.018)	Loss 2.8267 (2.7748)	Prec@1 35.156 (34.010)	Prec@5 62.500 (64.300)
Epoch: [11][210/14090]	Time 0.917 (0.783)	Data 0.001 (0.018)	Loss 2.8471 (2.7766)	Prec@1 33.594 (33.971)	Prec@5 61.719 (64.207)
Epoch: [11][220/14090]	Time 0.740 (0.782)	Data 0.001 (0.017)	Loss 2.8702 (2.7795)	Prec@1 32.812 (33.880)	Prec@5 62.500 (64.161)
Epoch: [11][230/14090]	Time 0.773 (0.781)	Data 0.001 (0.016)	Loss 3.1118 (2.7822)	Prec@1 26.562 (33.773)	Prec@5 57.812 (64.127)
Epoch: [11][240/14090]	Time 0.736 (0.781)	Data 0.001 (0.016)	Loss 2.8451 (2.7812)	Prec@1 31.250 (33.824)	Prec@5 59.375 (64.121)
Epoch: [11][250/14090]	Time 0.742 (0.780)	Data 0.001 (0.015)	Loss 2.9200 (2.7825)	Prec@1 29.688 (33.799)	Prec@5 60.938 (64.091)
Epoch: [11][260/14090]	Time 0.777 (0.780)	Data 0.001 (0.014)	Loss 2.7929 (2.7837)	Prec@1 31.250 (33.821)	Prec@5 59.375 (64.089)
Epoch: [11][270/14090]	Time 0.757 (0.779)	Data 0.001 (0.014)	Loss 3.1029 (2.7865)	Prec@1 28.906 (33.758)	Prec@5 64.062 (64.068)
Epoch: [11][280/14090]	Time 0.841 (0.779)	Data 0.001 (0.013)	Loss 2.9532 (2.7882)	Prec@1 32.031 (33.791)	Prec@5 60.938 (64.049)
Epoch: [11][290/14090]	Time 0.752 (0.779)	Data 0.001 (0.013)	Loss 2.7004 (2.7867)	Prec@1 27.344 (33.763)	Prec@5 67.969 (64.071)
Epoch: [11][300/14090]	Time 0.754 (0.778)	Data 0.001 (0.013)	Loss 2.9555 (2.7871)	Prec@1 27.344 (33.801)	Prec@5 64.062 (64.065)
Epoch: [11][310/14090]	Time 0.725 (0.778)	Data 0.001 (0.012)	Loss 2.7122 (2.7830)	Prec@1 33.594 (33.837)	Prec@5 69.531 (64.158)
Epoch: [11][320/14090]	Time 0.732 (0.777)	Data 0.001 (0.012)	Loss 2.9749 (2.7796)	Prec@1 33.594 (33.920)	Prec@5 60.938 (64.226)
Epoch: [11][330/14090]	Time 0.721 (0.777)	Data 0.001 (0.012)	Loss 2.7798 (2.7808)	Prec@1 32.031 (33.901)	Prec@5 64.062 (64.199)
Epoch: [11][340/14090]	Time 0.758 (0.776)	Data 0.001 (0.011)	Loss 3.0345 (2.7786)	Prec@1 28.906 (33.928)	Prec@5 58.594 (64.257)
Epoch: [11][350/14090]	Time 0.867 (0.776)	Data 0.001 (0.011)	Loss 2.8942 (2.7807)	Prec@1 39.062 (33.888)	Prec@5 63.281 (64.241)
Epoch: [11][360/14090]	Time 0.775 (0.776)	Data 0.001 (0.011)	Loss 2.8015 (2.7776)	Prec@1 35.156 (33.988)	Prec@5 61.719 (64.251)
Epoch: [11][370/14090]	Time 0.731 (0.775)	Data 0.001 (0.010)	Loss 2.9028 (2.7759)	Prec@1 34.375 (33.979)	Prec@5 64.844 (64.275)
Epoch: [11][380/14090]	Time 0.747 (0.775)	Data 0.001 (0.010)	Loss 2.8818 (2.7767)	Prec@1 30.469 (33.920)	Prec@5 64.844 (64.276)
Epoch: [11][390/14090]	Time 0.731 (0.775)	Data 0.003 (0.010)	Loss 2.3701 (2.7750)	Prec@1 45.312 (33.955)	Prec@5 74.219 (64.314)
Epoch: [11][400/14090]	Time 0.730 (0.774)	Data 0.001 (0.010)	Loss 2.6998 (2.7760)	Prec@1 36.719 (33.937)	Prec@5 68.750 (64.320)
Epoch: [11][410/14090]	Time 0.744 (0.774)	Data 0.001 (0.009)	Loss 2.6111 (2.7760)	Prec@1 39.062 (33.926)	Prec@5 69.531 (64.315)
Epoch: [11][420/14090]	Time 0.883 (0.774)	Data 0.001 (0.009)	Loss 2.4631 (2.7758)	Prec@1 39.844 (33.928)	Prec@5 75.781 (64.337)
Epoch: [11][430/14090]	Time 0.734 (0.774)	Data 0.001 (0.009)	Loss 2.8298 (2.7782)	Prec@1 38.281 (33.893)	Prec@5 60.156 (64.305)
Epoch: [11][440/14090]	Time 0.737 (0.773)	Data 0.001 (0.009)	Loss 2.7271 (2.7774)	Prec@1 32.812 (33.914)	Prec@5 66.406 (64.286)
Epoch: [11][450/14090]	Time 0.726 (0.773)	Data 0.001 (0.009)	Loss 2.8005 (2.7776)	Prec@1 34.375 (33.906)	Prec@5 67.969 (64.288)
Epoch: [11][460/14090]	Time 0.734 (0.773)	Data 0.001 (0.009)	Loss 3.0234 (2.7778)	Prec@1 37.500 (33.909)	Prec@5 57.031 (64.273)
Epoch: [11][470/14090]	Time 0.738 (0.773)	Data 0.001 (0.008)	Loss 2.9248 (2.7775)	Prec@1 34.375 (33.947)	Prec@5 64.844 (64.283)
Epoch: [11][480/14090]	Time 0.746 (0.772)	Data 0.001 (0.008)	Loss 2.7371 (2.7752)	Prec@1 35.156 (34.000)	Prec@5 61.719 (64.308)
Epoch: [11][490/14090]	Time 0.864 (0.772)	Data 0.001 (0.008)	Loss 2.6567 (2.7752)	Prec@1 33.594 (33.992)	Prec@5 69.531 (64.282)
Epoch: [11][500/14090]	Time 0.730 (0.772)	Data 0.001 (0.008)	Loss 2.6286 (2.7740)	Prec@1 32.812 (33.990)	Prec@5 70.312 (64.298)
Epoch: [11][510/14090]	Time 0.760 (0.772)	Data 0.001 (0.008)	Loss 2.5265 (2.7748)	Prec@1 37.500 (33.984)	Prec@5 68.750 (64.296)
Epoch: [11][520/14090]	Time 0.776 (0.772)	Data 0.001 (0.008)	Loss 2.8878 (2.7753)	Prec@1 35.938 (33.973)	Prec@5 61.719 (64.287)
Epoch: [11][530/14090]	Time 0.739 (0.772)	Data 0.002 (0.008)	Loss 2.6266 (2.7731)	Prec@1 32.812 (33.973)	Prec@5 69.531 (64.341)
Epoch: [11][540/14090]	Time 0.762 (0.772)	Data 0.001 (0.007)	Loss 2.4426 (2.7725)	Prec@1 38.281 (33.946)	Prec@5 67.969 (64.327)
Epoch: [11][550/14090]	Time 0.785 (0.772)	Data 0.001 (0.007)	Loss 3.0732 (2.7734)	Prec@1 34.375 (33.952)	Prec@5 57.812 (64.294)
Epoch: [11][560/14090]	Time 0.875 (0.772)	Data 0.001 (0.007)	Loss 2.8658 (2.7731)	Prec@1 31.250 (33.935)	Prec@5 63.281 (64.312)
Epoch: [11][570/14090]	Time 0.772 (0.772)	Data 0.001 (0.007)	Loss 2.6425 (2.7748)	Prec@1 37.500 (33.923)	Prec@5 71.094 (64.292)
Epoch: [11][580/14090]	Time 0.727 (0.772)	Data 0.001 (0.007)	Loss 3.0109 (2.7751)	Prec@1 32.812 (33.942)	Prec@5 59.375 (64.296)
Epoch: [11][590/14090]	Time 0.759 (0.772)	Data 0.001 (0.007)	Loss 2.9334 (2.7741)	Prec@1 29.688 (33.982)	Prec@5 61.719 (64.308)
Epoch: [11][600/14090]	Time 0.774 (0.771)	Data 0.001 (0.007)	Loss 2.8644 (2.7742)	Prec@1 32.812 (33.990)	Prec@5 64.844 (64.299)
Epoch: [11][610/14090]	Time 0.752 (0.771)	Data 0.001 (0.007)	Loss 2.5333 (2.7752)	Prec@1 40.625 (33.981)	Prec@5 65.625 (64.262)
Epoch: [11][620/14090]	Time 0.735 (0.771)	Data 0.001 (0.007)	Loss 2.6807 (2.7749)	Prec@1 39.844 (34.015)	Prec@5 67.188 (64.273)
Epoch: [11][630/14090]	Time 0.882 (0.771)	Data 0.001 (0.006)	Loss 2.9603 (2.7759)	Prec@1 25.000 (34.013)	Prec@5 60.156 (64.241)
Epoch: [11][640/14090]	Time 0.766 (0.771)	Data 0.001 (0.006)	Loss 3.1473 (2.7765)	Prec@1 27.344 (33.980)	Prec@5 54.688 (64.234)
Epoch: [11][650/14090]	Time 0.739 (0.771)	Data 0.001 (0.006)	Loss 2.8147 (2.7773)	Prec@1 37.500 (33.968)	Prec@5 64.062 (64.213)
Epoch: [11][660/14090]	Time 0.746 (0.771)	Data 0.001 (0.006)	Loss 2.5821 (2.7766)	Prec@1 34.375 (33.985)	Prec@5 69.531 (64.197)
Epoch: [11][670/14090]	Time 0.752 (0.770)	Data 0.001 (0.006)	Loss 2.6640 (2.7766)	Prec@1 42.188 (33.988)	Prec@5 66.406 (64.191)
Epoch: [11][680/14090]	Time 0.739 (0.770)	Data 0.001 (0.006)	Loss 2.5875 (2.7749)	Prec@1 39.844 (33.988)	Prec@5 72.656 (64.230)
Epoch: [11][690/14090]	Time 0.770 (0.770)	Data 0.001 (0.006)	Loss 2.7776 (2.7761)	Prec@1 31.250 (33.974)	Prec@5 60.938 (64.203)
Epoch: [11][700/14090]	Time 0.902 (0.770)	Data 0.001 (0.006)	Loss 3.1630 (2.7770)	Prec@1 30.469 (33.972)	Prec@5 56.250 (64.192)
Epoch: [11][710/14090]	Time 0.767 (0.770)	Data 0.001 (0.006)	Loss 2.4721 (2.7769)	Prec@1 39.844 (33.970)	Prec@5 73.438 (64.208)
Epoch: [11][720/14090]	Time 0.779 (0.770)	Data 0.001 (0.006)	Loss 3.0911 (2.7771)	Prec@1 27.344 (33.966)	Prec@5 57.031 (64.209)
Epoch: [11][730/14090]	Time 0.742 (0.770)	Data 0.001 (0.006)	Loss 2.9430 (2.7765)	Prec@1 31.250 (33.967)	Prec@5 57.031 (64.213)
Epoch: [11][740/14090]	Time 0.756 (0.770)	Data 0.001 (0.006)	Loss 2.9047 (2.7775)	Prec@1 37.500 (33.971)	Prec@5 61.719 (64.207)
Epoch: [11][750/14090]	Time 0.758 (0.770)	Data 0.001 (0.006)	Loss 2.6927 (2.7780)	Prec@1 28.906 (33.972)	Prec@5 65.625 (64.208)
Epoch: [11][760/14090]	Time 0.764 (0.770)	Data 0.001 (0.006)	Loss 2.8979 (2.7780)	Prec@1 31.250 (33.985)	Prec@5 59.375 (64.206)
Epoch: [11][770/14090]	Time 0.869 (0.770)	Data 0.001 (0.005)	Loss 2.9412 (2.7777)	Prec@1 28.906 (33.980)	Prec@5 59.375 (64.222)
Epoch: [11][780/14090]	Time 0.727 (0.770)	Data 0.001 (0.005)	Loss 2.7826 (2.7779)	Prec@1 28.906 (33.965)	Prec@5 62.500 (64.197)
Epoch: [11][790/14090]	Time 0.743 (0.769)	Data 0.001 (0.005)	Loss 2.8102 (2.7781)	Prec@1 30.469 (33.948)	Prec@5 67.188 (64.202)
Epoch: [11][800/14090]	Time 0.753 (0.770)	Data 0.001 (0.005)	Loss 2.7209 (2.7792)	Prec@1 33.594 (33.929)	Prec@5 70.312 (64.175)
Epoch: [11][810/14090]	Time 0.741 (0.769)	Data 0.001 (0.005)	Loss 2.7213 (2.7780)	Prec@1 29.688 (33.938)	Prec@5 68.750 (64.192)
Epoch: [11][820/14090]	Time 0.737 (0.769)	Data 0.001 (0.005)	Loss 2.8591 (2.7775)	Prec@1 28.125 (33.951)	Prec@5 62.500 (64.212)
Epoch: [11][830/14090]	Time 0.739 (0.769)	Data 0.001 (0.005)	Loss 3.0079 (2.7781)	Prec@1 28.125 (33.935)	Prec@5 54.688 (64.203)
Epoch: [11][840/14090]	Time 0.851 (0.769)	Data 0.001 (0.005)	Loss 2.8570 (2.7786)	Prec@1 32.031 (33.933)	Prec@5 57.031 (64.186)
Epoch: [11][850/14090]	Time 0.771 (0.769)	Data 0.001 (0.005)	Loss 2.9747 (2.7788)	Prec@1 30.469 (33.933)	Prec@5 62.500 (64.179)
Epoch: [11][860/14090]	Time 0.776 (0.769)	Data 0.001 (0.005)	Loss 2.6627 (2.7789)	Prec@1 35.156 (33.925)	Prec@5 64.844 (64.178)
Epoch: [11][870/14090]	Time 0.748 (0.769)	Data 0.001 (0.005)	Loss 2.5861 (2.7792)	Prec@1 42.188 (33.926)	Prec@5 69.531 (64.190)
Epoch: [11][880/14090]	Time 0.746 (0.769)	Data 0.001 (0.005)	Loss 2.6131 (2.7782)	Prec@1 34.375 (33.922)	Prec@5 63.281 (64.204)
Epoch: [11][890/14090]	Time 0.747 (0.769)	Data 0.001 (0.005)	Loss 2.7035 (2.7779)	Prec@1 32.031 (33.907)	Prec@5 66.406 (64.193)
Epoch: [11][900/14090]	Time 0.733 (0.769)	Data 0.001 (0.005)	Loss 2.9885 (2.7782)	Prec@1 31.250 (33.920)	Prec@5 58.594 (64.188)
Epoch: [11][910/14090]	Time 0.861 (0.769)	Data 0.001 (0.005)	Loss 2.6197 (2.7777)	Prec@1 36.719 (33.923)	Prec@5 67.969 (64.207)
Epoch: [11][920/14090]	Time 0.737 (0.769)	Data 0.001 (0.005)	Loss 2.5309 (2.7769)	Prec@1 37.500 (33.935)	Prec@5 66.406 (64.221)
Epoch: [11][930/14090]	Time 0.740 (0.769)	Data 0.001 (0.005)	Loss 2.6482 (2.7771)	Prec@1 34.375 (33.948)	Prec@5 64.062 (64.216)
Epoch: [11][940/14090]	Time 0.749 (0.769)	Data 0.001 (0.005)	Loss 2.6085 (2.7766)	Prec@1 39.062 (33.948)	Prec@5 67.969 (64.237)
Epoch: [11][950/14090]	Time 0.773 (0.769)	Data 0.001 (0.005)	Loss 2.7230 (2.7765)	Prec@1 32.031 (33.934)	Prec@5 62.500 (64.251)
Epoch: [11][960/14090]	Time 0.758 (0.769)	Data 0.001 (0.005)	Loss 2.8226 (2.7768)	Prec@1 32.031 (33.917)	Prec@5 60.156 (64.245)
Epoch: [11][970/14090]	Time 0.729 (0.768)	Data 0.001 (0.005)	Loss 2.5896 (2.7769)	Prec@1 41.406 (33.912)	Prec@5 70.312 (64.259)
Epoch: [11][980/14090]	Time 0.888 (0.768)	Data 0.001 (0.004)	Loss 2.6680 (2.7766)	Prec@1 33.594 (33.918)	Prec@5 68.750 (64.274)
Epoch: [11][990/14090]	Time 0.727 (0.768)	Data 0.001 (0.004)	Loss 2.6839 (2.7767)	Prec@1 33.594 (33.904)	Prec@5 64.844 (64.279)
Epoch: [11][1000/14090]	Time 0.725 (0.768)	Data 0.001 (0.004)	Loss 2.9011 (2.7770)	Prec@1 25.000 (33.902)	Prec@5 60.938 (64.275)
Epoch: [11][1010/14090]	Time 0.748 (0.768)	Data 0.001 (0.004)	Loss 2.5815 (2.7763)	Prec@1 40.625 (33.914)	Prec@5 64.062 (64.290)
Epoch: [11][1020/14090]	Time 0.777 (0.768)	Data 0.001 (0.004)	Loss 2.8893 (2.7771)	Prec@1 31.250 (33.896)	Prec@5 60.156 (64.269)
Epoch: [11][1030/14090]	Time 0.757 (0.768)	Data 0.001 (0.004)	Loss 2.6655 (2.7773)	Prec@1 35.938 (33.892)	Prec@5 65.625 (64.253)
Epoch: [11][1040/14090]	Time 0.774 (0.768)	Data 0.001 (0.004)	Loss 2.7648 (2.7768)	Prec@1 32.031 (33.912)	Prec@5 62.500 (64.256)
Epoch: [11][1050/14090]	Time 0.865 (0.768)	Data 0.001 (0.004)	Loss 2.8862 (2.7768)	Prec@1 32.031 (33.902)	Prec@5 54.688 (64.248)
Epoch: [11][1060/14090]	Time 0.727 (0.768)	Data 0.001 (0.004)	Loss 2.9463 (2.7769)	Prec@1 33.594 (33.906)	Prec@5 60.938 (64.259)
Epoch: [11][1070/14090]	Time 0.749 (0.768)	Data 0.001 (0.004)	Loss 2.5427 (2.7765)	Prec@1 35.938 (33.908)	Prec@5 69.531 (64.275)
Epoch: [11][1080/14090]	Time 0.777 (0.768)	Data 0.001 (0.004)	Loss 2.6528 (2.7770)	Prec@1 32.031 (33.883)	Prec@5 60.156 (64.270)
Epoch: [11][1090/14090]	Time 0.764 (0.768)	Data 0.001 (0.004)	Loss 2.6414 (2.7779)	Prec@1 32.031 (33.872)	Prec@5 67.188 (64.244)
Epoch: [11][1100/14090]	Time 0.746 (0.768)	Data 0.001 (0.004)	Loss 2.6624 (2.7778)	Prec@1 32.812 (33.862)	Prec@5 63.281 (64.256)
Epoch: [11][1110/14090]	Time 0.736 (0.768)	Data 0.001 (0.004)	Loss 2.5129 (2.7778)	Prec@1 39.844 (33.869)	Prec@5 67.969 (64.262)
Epoch: [11][1120/14090]	Time 0.869 (0.768)	Data 0.001 (0.004)	Loss 2.7161 (2.7777)	Prec@1 35.938 (33.870)	Prec@5 62.500 (64.260)
Epoch: [11][1130/14090]	Time 0.744 (0.768)	Data 0.001 (0.004)	Loss 2.6030 (2.7773)	Prec@1 39.062 (33.880)	Prec@5 70.312 (64.264)
Epoch: [11][1140/14090]	Time 0.723 (0.768)	Data 0.001 (0.004)	Loss 2.8060 (2.7780)	Prec@1 32.812 (33.866)	Prec@5 61.719 (64.244)
Epoch: [11][1150/14090]	Time 0.765 (0.768)	Data 0.001 (0.004)	Loss 2.9627 (2.7781)	Prec@1 27.344 (33.854)	Prec@5 61.719 (64.247)
Epoch: [11][1160/14090]	Time 0.737 (0.768)	Data 0.001 (0.004)	Loss 2.8042 (2.7776)	Prec@1 39.844 (33.860)	Prec@5 64.844 (64.260)
Epoch: [11][1170/14090]	Time 0.756 (0.768)	Data 0.001 (0.004)	Loss 3.2487 (2.7777)	Prec@1 28.125 (33.860)	Prec@5 50.781 (64.259)
Epoch: [11][1180/14090]	Time 0.749 (0.768)	Data 0.001 (0.004)	Loss 2.7947 (2.7777)	Prec@1 30.469 (33.866)	Prec@5 67.969 (64.258)
Epoch: [11][1190/14090]	Time 0.896 (0.768)	Data 0.001 (0.004)	Loss 2.8841 (2.7776)	Prec@1 35.938 (33.879)	Prec@5 64.062 (64.254)
Epoch: [11][1200/14090]	Time 0.747 (0.768)	Data 0.001 (0.004)	Loss 3.3205 (2.7778)	Prec@1 23.438 (33.877)	Prec@5 51.562 (64.243)
Epoch: [11][1210/14090]	Time 0.722 (0.768)	Data 0.001 (0.004)	Loss 2.7115 (2.7769)	Prec@1 38.281 (33.894)	Prec@5 64.062 (64.258)
Epoch: [11][1220/14090]	Time 0.749 (0.768)	Data 0.001 (0.004)	Loss 2.5414 (2.7767)	Prec@1 39.844 (33.897)	Prec@5 68.750 (64.270)
Epoch: [11][1230/14090]	Time 0.733 (0.768)	Data 0.001 (0.004)	Loss 2.6605 (2.7762)	Prec@1 38.281 (33.919)	Prec@5 67.188 (64.280)
Epoch: [11][1240/14090]	Time 0.755 (0.768)	Data 0.001 (0.004)	Loss 2.3811 (2.7749)	Prec@1 42.188 (33.941)	Prec@5 73.438 (64.304)
Epoch: [11][1250/14090]	Time 0.755 (0.768)	Data 0.001 (0.004)	Loss 2.6111 (2.7745)	Prec@1 35.156 (33.947)	Prec@5 66.406 (64.316)
Epoch: [11][1260/14090]	Time 0.863 (0.768)	Data 0.001 (0.004)	Loss 2.9745 (2.7750)	Prec@1 29.688 (33.948)	Prec@5 58.594 (64.302)
Epoch: [11][1270/14090]	Time 0.734 (0.768)	Data 0.001 (0.004)	Loss 2.6501 (2.7755)	Prec@1 39.062 (33.944)	Prec@5 63.281 (64.297)
Epoch: [11][1280/14090]	Time 0.736 (0.768)	Data 0.001 (0.004)	Loss 2.5322 (2.7746)	Prec@1 40.625 (33.955)	Prec@5 72.656 (64.325)
Epoch: [11][1290/14090]	Time 0.729 (0.768)	Data 0.001 (0.004)	Loss 2.6764 (2.7750)	Prec@1 35.156 (33.957)	Prec@5 64.844 (64.316)
Epoch: [11][1300/14090]	Time 0.772 (0.768)	Data 0.001 (0.004)	Loss 2.8991 (2.7756)	Prec@1 39.844 (33.949)	Prec@5 59.375 (64.289)
Epoch: [11][1310/14090]	Time 0.745 (0.768)	Data 0.001 (0.004)	Loss 2.4581 (2.7751)	Prec@1 35.938 (33.959)	Prec@5 72.656 (64.304)
Epoch: [11][1320/14090]	Time 0.727 (0.767)	Data 0.001 (0.004)	Loss 2.8134 (2.7750)	Prec@1 31.250 (33.945)	Prec@5 60.156 (64.311)
Epoch: [11][1330/14090]	Time 0.867 (0.767)	Data 0.001 (0.004)	Loss 2.8396 (2.7749)	Prec@1 34.375 (33.949)	Prec@5 64.062 (64.324)
Epoch: [11][1340/14090]	Time 0.722 (0.767)	Data 0.001 (0.003)	Loss 2.9036 (2.7750)	Prec@1 34.375 (33.958)	Prec@5 61.719 (64.312)
Epoch: [11][1350/14090]	Time 0.764 (0.767)	Data 0.001 (0.003)	Loss 2.7769 (2.7755)	Prec@1 33.594 (33.954)	Prec@5 67.969 (64.306)
Epoch: [11][1360/14090]	Time 0.752 (0.767)	Data 0.001 (0.003)	Loss 2.6848 (2.7756)	Prec@1 33.594 (33.940)	Prec@5 64.062 (64.312)
Epoch: [11][1370/14090]	Time 0.731 (0.767)	Data 0.001 (0.003)	Loss 2.7767 (2.7763)	Prec@1 35.156 (33.931)	Prec@5 61.719 (64.304)
Epoch: [11][1380/14090]	Time 0.744 (0.767)	Data 0.001 (0.003)	Loss 2.9000 (2.7762)	Prec@1 28.906 (33.924)	Prec@5 62.500 (64.302)
Epoch: [11][1390/14090]	Time 0.723 (0.767)	Data 0.001 (0.003)	Loss 2.8644 (2.7765)	Prec@1 33.594 (33.908)	Prec@5 61.719 (64.293)
Epoch: [11][1400/14090]	Time 0.865 (0.767)	Data 0.001 (0.003)	Loss 2.7263 (2.7765)	Prec@1 33.594 (33.914)	Prec@5 64.844 (64.289)
Epoch: [11][1410/14090]	Time 0.762 (0.767)	Data 0.001 (0.003)	Loss 2.5846 (2.7757)	Prec@1 42.188 (33.933)	Prec@5 66.406 (64.309)
Epoch: [11][1420/14090]	Time 0.748 (0.767)	Data 0.001 (0.003)	Loss 2.7733 (2.7756)	Prec@1 35.938 (33.937)	Prec@5 63.281 (64.308)
Epoch: [11][1430/14090]	Time 0.732 (0.767)	Data 0.001 (0.003)	Loss 2.3125 (2.7751)	Prec@1 42.188 (33.943)	Prec@5 74.219 (64.317)
Epoch: [11][1440/14090]	Time 0.730 (0.767)	Data 0.001 (0.003)	Loss 2.9055 (2.7752)	Prec@1 28.906 (33.949)	Prec@5 60.938 (64.314)
Epoch: [11][1450/14090]	Time 0.753 (0.767)	Data 0.001 (0.003)	Loss 2.8537 (2.7755)	Prec@1 31.250 (33.944)	Prec@5 63.281 (64.304)
Epoch: [11][1460/14090]	Time 0.730 (0.767)	Data 0.001 (0.003)	Loss 2.7316 (2.7756)	Prec@1 33.594 (33.946)	Prec@5 67.188 (64.299)
Epoch: [11][1470/14090]	Time 0.869 (0.767)	Data 0.001 (0.003)	Loss 2.9496 (2.7751)	Prec@1 28.125 (33.954)	Prec@5 60.156 (64.305)
Epoch: [11][1480/14090]	Time 0.726 (0.767)	Data 0.001 (0.003)	Loss 2.8990 (2.7748)	Prec@1 34.375 (33.954)	Prec@5 64.062 (64.309)
Epoch: [11][1490/14090]	Time 0.734 (0.767)	Data 0.001 (0.003)	Loss 2.7277 (2.7742)	Prec@1 39.844 (33.969)	Prec@5 67.969 (64.319)
Epoch: [11][1500/14090]	Time 0.769 (0.767)	Data 0.001 (0.003)	Loss 2.9456 (2.7746)	Prec@1 32.812 (33.960)	Prec@5 58.594 (64.309)
Epoch: [11][1510/14090]	Time 0.730 (0.767)	Data 0.001 (0.003)	Loss 2.8688 (2.7750)	Prec@1 32.812 (33.953)	Prec@5 61.719 (64.284)
Epoch: [11][1520/14090]	Time 0.756 (0.767)	Data 0.001 (0.003)	Loss 2.9184 (2.7747)	Prec@1 31.250 (33.958)	Prec@5 61.719 (64.287)
Epoch: [11][1530/14090]	Time 0.731 (0.767)	Data 0.001 (0.003)	Loss 2.7736 (2.7747)	Prec@1 35.156 (33.956)	Prec@5 67.969 (64.283)
Epoch: [11][1540/14090]	Time 0.908 (0.767)	Data 0.001 (0.003)	Loss 2.8419 (2.7754)	Prec@1 35.156 (33.940)	Prec@5 61.719 (64.274)
Epoch: [11][1550/14090]	Time 0.744 (0.767)	Data 0.001 (0.003)	Loss 2.6736 (2.7754)	Prec@1 32.031 (33.937)	Prec@5 62.500 (64.275)
Epoch: [11][1560/14090]	Time 0.735 (0.767)	Data 0.001 (0.003)	Loss 2.7209 (2.7752)	Prec@1 32.812 (33.940)	Prec@5 64.844 (64.273)
Epoch: [11][1570/14090]	Time 0.733 (0.767)	Data 0.001 (0.003)	Loss 2.6786 (2.7752)	Prec@1 33.594 (33.933)	Prec@5 68.750 (64.271)
Epoch: [11][1580/14090]	Time 0.735 (0.767)	Data 0.001 (0.003)	Loss 3.0859 (2.7757)	Prec@1 25.781 (33.927)	Prec@5 60.938 (64.265)
Epoch: [11][1590/14090]	Time 0.730 (0.767)	Data 0.001 (0.003)	Loss 2.6844 (2.7752)	Prec@1 35.938 (33.938)	Prec@5 69.531 (64.275)
Epoch: [11][1600/14090]	Time 0.738 (0.767)	Data 0.001 (0.003)	Loss 2.6254 (2.7755)	Prec@1 38.281 (33.921)	Prec@5 64.062 (64.265)
Epoch: [11][1610/14090]	Time 0.870 (0.767)	Data 0.001 (0.003)	Loss 2.8807 (2.7759)	Prec@1 32.031 (33.912)	Prec@5 62.500 (64.267)
Epoch: [11][1620/14090]	Time 0.770 (0.767)	Data 0.001 (0.003)	Loss 2.9199 (2.7762)	Prec@1 32.031 (33.896)	Prec@5 60.156 (64.255)
Epoch: [11][1630/14090]	Time 0.727 (0.767)	Data 0.001 (0.003)	Loss 2.7839 (2.7770)	Prec@1 35.938 (33.882)	Prec@5 64.844 (64.239)
Epoch: [11][1640/14090]	Time 0.759 (0.766)	Data 0.001 (0.003)	Loss 2.6392 (2.7768)	Prec@1 36.719 (33.887)	Prec@5 64.844 (64.240)
Epoch: [11][1650/14090]	Time 0.788 (0.766)	Data 0.001 (0.003)	Loss 2.7074 (2.7767)	Prec@1 38.281 (33.891)	Prec@5 64.844 (64.239)
Epoch: [11][1660/14090]	Time 0.741 (0.767)	Data 0.001 (0.003)	Loss 2.8308 (2.7772)	Prec@1 32.031 (33.881)	Prec@5 65.625 (64.232)
Epoch: [11][1670/14090]	Time 0.736 (0.767)	Data 0.001 (0.003)	Loss 2.7658 (2.7772)	Prec@1 32.031 (33.872)	Prec@5 62.500 (64.231)
Epoch: [11][1680/14090]	Time 0.836 (0.766)	Data 0.001 (0.003)	Loss 3.0092 (2.7774)	Prec@1 31.250 (33.868)	Prec@5 54.688 (64.230)
Epoch: [11][1690/14090]	Time 0.730 (0.767)	Data 0.001 (0.003)	Loss 2.7934 (2.7778)	Prec@1 33.594 (33.858)	Prec@5 63.281 (64.225)
Epoch: [11][1700/14090]	Time 0.728 (0.766)	Data 0.001 (0.003)	Loss 2.4824 (2.7775)	Prec@1 42.188 (33.862)	Prec@5 67.188 (64.222)
Epoch: [11][1710/14090]	Time 0.737 (0.766)	Data 0.001 (0.003)	Loss 2.8986 (2.7771)	Prec@1 32.812 (33.880)	Prec@5 60.156 (64.230)
Epoch: [11][1720/14090]	Time 0.762 (0.766)	Data 0.002 (0.003)	Loss 2.5113 (2.7778)	Prec@1 42.188 (33.870)	Prec@5 67.188 (64.215)
Epoch: [11][1730/14090]	Time 0.749 (0.766)	Data 0.001 (0.003)	Loss 2.6430 (2.7778)	Prec@1 37.500 (33.868)	Prec@5 67.969 (64.213)
Epoch: [11][1740/14090]	Time 0.751 (0.766)	Data 0.001 (0.003)	Loss 2.8649 (2.7775)	Prec@1 32.812 (33.879)	Prec@5 64.062 (64.218)
Epoch: [11][1750/14090]	Time 0.885 (0.767)	Data 0.001 (0.003)	Loss 2.9850 (2.7779)	Prec@1 28.906 (33.871)	Prec@5 59.375 (64.212)
Epoch: [11][1760/14090]	Time 0.751 (0.766)	Data 0.001 (0.003)	Loss 2.7089 (2.7781)	Prec@1 37.500 (33.879)	Prec@5 68.750 (64.209)
Epoch: [11][1770/14090]	Time 0.744 (0.766)	Data 0.001 (0.003)	Loss 2.9178 (2.7786)	Prec@1 41.406 (33.873)	Prec@5 64.062 (64.198)
Epoch: [11][1780/14090]	Time 0.748 (0.766)	Data 0.001 (0.003)	Loss 2.8958 (2.7789)	Prec@1 28.906 (33.870)	Prec@5 60.938 (64.195)
Epoch: [11][1790/14090]	Time 0.777 (0.766)	Data 0.001 (0.003)	Loss 2.6960 (2.7788)	Prec@1 34.375 (33.866)	Prec@5 63.281 (64.196)
Epoch: [11][1800/14090]	Time 0.758 (0.767)	Data 0.001 (0.003)	Loss 2.5073 (2.7785)	Prec@1 38.281 (33.878)	Prec@5 66.406 (64.198)
Epoch: [11][1810/14090]	Time 0.762 (0.766)	Data 0.001 (0.003)	Loss 3.0089 (2.7783)	Prec@1 28.906 (33.879)	Prec@5 60.938 (64.206)
Epoch: [11][1820/14090]	Time 0.868 (0.767)	Data 0.001 (0.003)	Loss 2.8269 (2.7782)	Prec@1 29.688 (33.880)	Prec@5 64.844 (64.198)
Epoch: [11][1830/14090]	Time 0.733 (0.766)	Data 0.001 (0.003)	Loss 2.9353 (2.7788)	Prec@1 28.906 (33.874)	Prec@5 59.375 (64.184)
Epoch: [11][1840/14090]	Time 0.745 (0.766)	Data 0.001 (0.003)	Loss 2.8566 (2.7793)	Prec@1 32.812 (33.873)	Prec@5 56.250 (64.167)
Epoch: [11][1850/14090]	Time 0.758 (0.767)	Data 0.001 (0.003)	Loss 2.7265 (2.7791)	Prec@1 37.500 (33.881)	Prec@5 65.625 (64.168)
Epoch: [11][1860/14090]	Time 0.754 (0.767)	Data 0.001 (0.003)	Loss 2.7055 (2.7788)	Prec@1 36.719 (33.896)	Prec@5 65.625 (64.171)
Epoch: [11][1870/14090]	Time 0.764 (0.767)	Data 0.001 (0.003)	Loss 2.5203 (2.7786)	Prec@1 42.969 (33.894)	Prec@5 67.969 (64.176)
Epoch: [11][1880/14090]	Time 0.749 (0.767)	Data 0.001 (0.003)	Loss 2.5542 (2.7784)	Prec@1 35.156 (33.894)	Prec@5 67.969 (64.183)
Epoch: [11][1890/14090]	Time 0.842 (0.767)	Data 0.001 (0.003)	Loss 2.7420 (2.7784)	Prec@1 35.156 (33.890)	Prec@5 62.500 (64.178)
Epoch: [11][1900/14090]	Time 0.742 (0.766)	Data 0.001 (0.003)	Loss 2.4800 (2.7776)	Prec@1 46.875 (33.910)	Prec@5 69.531 (64.187)
Epoch: [11][1910/14090]	Time 0.765 (0.766)	Data 0.001 (0.003)	Loss 2.4723 (2.7778)	Prec@1 41.406 (33.905)	Prec@5 72.656 (64.192)
Epoch: [11][1920/14090]	Time 0.736 (0.766)	Data 0.001 (0.003)	Loss 2.8319 (2.7774)	Prec@1 30.469 (33.913)	Prec@5 60.938 (64.205)
Epoch: [11][1930/14090]	Time 0.756 (0.766)	Data 0.001 (0.003)	Loss 2.8361 (2.7774)	Prec@1 31.250 (33.917)	Prec@5 63.281 (64.211)
Epoch: [11][1940/14090]	Time 0.746 (0.766)	Data 0.001 (0.003)	Loss 2.8933 (2.7775)	Prec@1 35.156 (33.911)	Prec@5 62.500 (64.206)
Epoch: [11][1950/14090]	Time 0.734 (0.766)	Data 0.001 (0.003)	Loss 2.7993 (2.7777)	Prec@1 33.594 (33.910)	Prec@5 66.406 (64.204)
Epoch: [11][1960/14090]	Time 0.845 (0.766)	Data 0.001 (0.003)	Loss 3.0107 (2.7782)	Prec@1 32.031 (33.904)	Prec@5 59.375 (64.192)
Epoch: [11][1970/14090]	Time 0.760 (0.766)	Data 0.001 (0.003)	Loss 2.8110 (2.7785)	Prec@1 28.906 (33.896)	Prec@5 62.500 (64.186)
Epoch: [11][1980/14090]	Time 0.747 (0.766)	Data 0.001 (0.003)	Loss 2.8211 (2.7785)	Prec@1 33.594 (33.903)	Prec@5 63.281 (64.190)
Epoch: [11][1990/14090]	Time 0.736 (0.766)	Data 0.001 (0.003)	Loss 2.9592 (2.7783)	Prec@1 32.812 (33.900)	Prec@5 62.500 (64.201)
Epoch: [11][2000/14090]	Time 0.752 (0.766)	Data 0.001 (0.003)	Loss 2.9709 (2.7781)	Prec@1 26.562 (33.905)	Prec@5 59.375 (64.200)
Epoch: [11][2010/14090]	Time 0.740 (0.766)	Data 0.001 (0.003)	Loss 2.5442 (2.7784)	Prec@1 33.594 (33.901)	Prec@5 70.312 (64.197)
Epoch: [11][2020/14090]	Time 0.754 (0.766)	Data 0.001 (0.003)	Loss 2.8408 (2.7785)	Prec@1 26.562 (33.898)	Prec@5 65.625 (64.199)
Epoch: [11][2030/14090]	Time 0.878 (0.766)	Data 0.001 (0.003)	Loss 2.6901 (2.7781)	Prec@1 36.719 (33.904)	Prec@5 66.406 (64.211)
Epoch: [11][2040/14090]	Time 0.764 (0.766)	Data 0.002 (0.003)	Loss 2.7987 (2.7781)	Prec@1 35.156 (33.903)	Prec@5 63.281 (64.213)
Epoch: [11][2050/14090]	Time 0.755 (0.766)	Data 0.001 (0.003)	Loss 2.9268 (2.7785)	Prec@1 37.500 (33.902)	Prec@5 58.594 (64.204)
Epoch: [11][2060/14090]	Time 0.745 (0.766)	Data 0.001 (0.003)	Loss 2.5932 (2.7786)	Prec@1 36.719 (33.905)	Prec@5 67.969 (64.201)
Epoch: [11][2070/14090]	Time 0.736 (0.766)	Data 0.001 (0.003)	Loss 2.6833 (2.7790)	Prec@1 35.156 (33.892)	Prec@5 67.188 (64.188)
Epoch: [11][2080/14090]	Time 0.755 (0.766)	Data 0.001 (0.003)	Loss 2.8739 (2.7793)	Prec@1 37.500 (33.894)	Prec@5 62.500 (64.180)
Epoch: [11][2090/14090]	Time 0.754 (0.766)	Data 0.001 (0.003)	Loss 2.7164 (2.7792)	Prec@1 30.469 (33.887)	Prec@5 62.500 (64.185)
Epoch: [11][2100/14090]	Time 0.895 (0.766)	Data 0.001 (0.003)	Loss 2.6270 (2.7791)	Prec@1 40.625 (33.898)	Prec@5 61.719 (64.181)
Epoch: [11][2110/14090]	Time 0.724 (0.766)	Data 0.001 (0.003)	Loss 2.9826 (2.7792)	Prec@1 32.031 (33.903)	Prec@5 63.281 (64.178)
Epoch: [11][2120/14090]	Time 0.718 (0.766)	Data 0.001 (0.003)	Loss 2.8079 (2.7793)	Prec@1 35.938 (33.899)	Prec@5 67.969 (64.181)
Epoch: [11][2130/14090]	Time 0.730 (0.766)	Data 0.001 (0.003)	Loss 2.9600 (2.7790)	Prec@1 27.344 (33.904)	Prec@5 60.938 (64.189)
Epoch: [11][2140/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 2.8680 (2.7790)	Prec@1 35.938 (33.905)	Prec@5 60.938 (64.190)
Epoch: [11][2150/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 2.4928 (2.7791)	Prec@1 39.844 (33.905)	Prec@5 71.094 (64.187)
Epoch: [11][2160/14090]	Time 0.726 (0.766)	Data 0.001 (0.002)	Loss 2.7939 (2.7793)	Prec@1 36.719 (33.906)	Prec@5 64.062 (64.183)
Epoch: [11][2170/14090]	Time 0.865 (0.766)	Data 0.001 (0.002)	Loss 2.6778 (2.7793)	Prec@1 35.938 (33.906)	Prec@5 68.750 (64.187)
Epoch: [11][2180/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.5467 (2.7794)	Prec@1 39.844 (33.901)	Prec@5 66.406 (64.188)
Epoch: [11][2190/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.8121 (2.7794)	Prec@1 34.375 (33.896)	Prec@5 66.406 (64.194)
Epoch: [11][2200/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 2.6301 (2.7799)	Prec@1 35.938 (33.876)	Prec@5 61.719 (64.187)
Epoch: [11][2210/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 2.6903 (2.7799)	Prec@1 35.156 (33.875)	Prec@5 67.969 (64.187)
Epoch: [11][2220/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 2.5847 (2.7800)	Prec@1 39.062 (33.877)	Prec@5 64.844 (64.185)
Epoch: [11][2230/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.8098 (2.7801)	Prec@1 37.500 (33.869)	Prec@5 60.938 (64.181)
Epoch: [11][2240/14090]	Time 0.874 (0.766)	Data 0.001 (0.002)	Loss 2.9539 (2.7807)	Prec@1 30.469 (33.860)	Prec@5 57.812 (64.160)
Epoch: [11][2250/14090]	Time 0.725 (0.766)	Data 0.001 (0.002)	Loss 2.8759 (2.7809)	Prec@1 33.594 (33.855)	Prec@5 57.812 (64.153)
Epoch: [11][2260/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.9210 (2.7809)	Prec@1 31.250 (33.845)	Prec@5 53.125 (64.151)
Epoch: [11][2270/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.5078 (2.7809)	Prec@1 40.625 (33.843)	Prec@5 67.188 (64.149)
Epoch: [11][2280/14090]	Time 0.766 (0.766)	Data 0.001 (0.002)	Loss 2.7333 (2.7809)	Prec@1 32.812 (33.836)	Prec@5 65.625 (64.151)
Epoch: [11][2290/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 2.5747 (2.7807)	Prec@1 43.750 (33.845)	Prec@5 67.969 (64.160)
Epoch: [11][2300/14090]	Time 0.774 (0.766)	Data 0.001 (0.002)	Loss 3.0336 (2.7809)	Prec@1 25.781 (33.841)	Prec@5 57.812 (64.153)
Epoch: [11][2310/14090]	Time 0.838 (0.766)	Data 0.001 (0.002)	Loss 2.7539 (2.7808)	Prec@1 34.375 (33.842)	Prec@5 66.406 (64.162)
Epoch: [11][2320/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 2.7748 (2.7807)	Prec@1 29.688 (33.847)	Prec@5 64.844 (64.163)
Epoch: [11][2330/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.8477 (2.7804)	Prec@1 28.906 (33.847)	Prec@5 66.406 (64.168)
Epoch: [11][2340/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 2.8579 (2.7807)	Prec@1 37.500 (33.842)	Prec@5 64.062 (64.157)
Epoch: [11][2350/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.9092 (2.7808)	Prec@1 26.562 (33.839)	Prec@5 57.812 (64.158)
Epoch: [11][2360/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 2.9390 (2.7810)	Prec@1 32.812 (33.837)	Prec@5 57.031 (64.153)
Epoch: [11][2370/14090]	Time 0.779 (0.766)	Data 0.001 (0.002)	Loss 2.7342 (2.7809)	Prec@1 34.375 (33.833)	Prec@5 63.281 (64.158)
Epoch: [11][2380/14090]	Time 0.857 (0.766)	Data 0.001 (0.002)	Loss 2.9701 (2.7809)	Prec@1 28.906 (33.841)	Prec@5 59.375 (64.154)
Epoch: [11][2390/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 2.7638 (2.7805)	Prec@1 35.938 (33.847)	Prec@5 65.625 (64.166)
Epoch: [11][2400/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 2.6256 (2.7802)	Prec@1 32.812 (33.850)	Prec@5 67.969 (64.172)
Epoch: [11][2410/14090]	Time 0.790 (0.766)	Data 0.001 (0.002)	Loss 2.6418 (2.7799)	Prec@1 32.812 (33.860)	Prec@5 67.188 (64.176)
Epoch: [11][2420/14090]	Time 0.791 (0.766)	Data 0.001 (0.002)	Loss 2.8880 (2.7797)	Prec@1 32.812 (33.873)	Prec@5 64.062 (64.180)
Epoch: [11][2430/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.7957 (2.7796)	Prec@1 35.156 (33.868)	Prec@5 62.500 (64.179)
Epoch: [11][2440/14090]	Time 0.772 (0.766)	Data 0.001 (0.002)	Loss 2.7624 (2.7795)	Prec@1 39.844 (33.874)	Prec@5 64.844 (64.186)
Epoch: [11][2450/14090]	Time 0.848 (0.766)	Data 0.001 (0.002)	Loss 2.7430 (2.7794)	Prec@1 36.719 (33.872)	Prec@5 64.062 (64.182)
Epoch: [11][2460/14090]	Time 0.722 (0.766)	Data 0.001 (0.002)	Loss 2.7493 (2.7792)	Prec@1 29.688 (33.872)	Prec@5 72.656 (64.189)
Epoch: [11][2470/14090]	Time 0.724 (0.766)	Data 0.001 (0.002)	Loss 2.7835 (2.7793)	Prec@1 35.156 (33.866)	Prec@5 60.156 (64.184)
Epoch: [11][2480/14090]	Time 0.778 (0.766)	Data 0.001 (0.002)	Loss 2.9380 (2.7796)	Prec@1 33.594 (33.860)	Prec@5 61.719 (64.175)
Epoch: [11][2490/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 2.7571 (2.7795)	Prec@1 35.156 (33.860)	Prec@5 64.062 (64.179)
Epoch: [11][2500/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 2.6134 (2.7793)	Prec@1 37.500 (33.866)	Prec@5 61.719 (64.181)
Epoch: [11][2510/14090]	Time 0.779 (0.766)	Data 0.001 (0.002)	Loss 3.0332 (2.7791)	Prec@1 27.344 (33.875)	Prec@5 57.031 (64.180)
Epoch: [11][2520/14090]	Time 0.880 (0.766)	Data 0.001 (0.002)	Loss 2.7567 (2.7794)	Prec@1 34.375 (33.874)	Prec@5 61.719 (64.172)
Epoch: [11][2530/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.7720 (2.7792)	Prec@1 31.250 (33.871)	Prec@5 65.625 (64.177)
Epoch: [11][2540/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.8769 (2.7787)	Prec@1 28.125 (33.882)	Prec@5 64.062 (64.186)
Epoch: [11][2550/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.8969 (2.7784)	Prec@1 27.344 (33.890)	Prec@5 64.062 (64.189)
Epoch: [11][2560/14090]	Time 0.771 (0.766)	Data 0.001 (0.002)	Loss 2.4615 (2.7781)	Prec@1 36.719 (33.895)	Prec@5 71.875 (64.195)
Epoch: [11][2570/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 2.6158 (2.7782)	Prec@1 34.375 (33.892)	Prec@5 64.844 (64.193)
Epoch: [11][2580/14090]	Time 0.767 (0.766)	Data 0.001 (0.002)	Loss 3.1175 (2.7783)	Prec@1 21.094 (33.888)	Prec@5 53.906 (64.189)
Epoch: [11][2590/14090]	Time 0.864 (0.766)	Data 0.001 (0.002)	Loss 2.8949 (2.7783)	Prec@1 34.375 (33.889)	Prec@5 60.938 (64.186)
Epoch: [11][2600/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.6541 (2.7780)	Prec@1 38.281 (33.887)	Prec@5 64.062 (64.192)
Epoch: [11][2610/14090]	Time 0.772 (0.766)	Data 0.001 (0.002)	Loss 2.5649 (2.7779)	Prec@1 36.719 (33.886)	Prec@5 69.531 (64.197)
Epoch: [11][2620/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 3.1397 (2.7783)	Prec@1 35.938 (33.885)	Prec@5 56.250 (64.194)
Epoch: [11][2630/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 2.7250 (2.7782)	Prec@1 35.938 (33.888)	Prec@5 66.406 (64.196)
Epoch: [11][2640/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.4108 (2.7781)	Prec@1 39.844 (33.888)	Prec@5 74.219 (64.200)
Epoch: [11][2650/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.9132 (2.7783)	Prec@1 36.719 (33.886)	Prec@5 60.156 (64.189)
Epoch: [11][2660/14090]	Time 0.856 (0.766)	Data 0.001 (0.002)	Loss 2.8505 (2.7786)	Prec@1 35.156 (33.884)	Prec@5 64.062 (64.185)
Epoch: [11][2670/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 2.4621 (2.7783)	Prec@1 43.750 (33.894)	Prec@5 71.094 (64.191)
Epoch: [11][2680/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.5036 (2.7778)	Prec@1 34.375 (33.897)	Prec@5 70.312 (64.202)
Epoch: [11][2690/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 2.5751 (2.7781)	Prec@1 42.188 (33.896)	Prec@5 67.969 (64.202)
Epoch: [11][2700/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 3.0070 (2.7782)	Prec@1 30.469 (33.899)	Prec@5 56.250 (64.202)
Epoch: [11][2710/14090]	Time 0.742 (0.766)	Data 0.000 (0.002)	Loss 3.0418 (2.7785)	Prec@1 33.594 (33.900)	Prec@5 59.375 (64.193)
Epoch: [11][2720/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.5176 (2.7785)	Prec@1 41.406 (33.903)	Prec@5 68.750 (64.193)
Epoch: [11][2730/14090]	Time 0.862 (0.766)	Data 0.001 (0.002)	Loss 2.6871 (2.7785)	Prec@1 36.719 (33.905)	Prec@5 63.281 (64.188)
Epoch: [11][2740/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 2.9715 (2.7785)	Prec@1 36.719 (33.905)	Prec@5 60.938 (64.189)
Epoch: [11][2750/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 2.7803 (2.7787)	Prec@1 31.250 (33.901)	Prec@5 65.625 (64.182)
Epoch: [11][2760/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 2.7271 (2.7787)	Prec@1 34.375 (33.902)	Prec@5 65.625 (64.184)
Epoch: [11][2770/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.9073 (2.7792)	Prec@1 29.688 (33.891)	Prec@5 61.719 (64.170)
Epoch: [11][2780/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 2.9571 (2.7793)	Prec@1 26.562 (33.887)	Prec@5 61.719 (64.165)
Epoch: [11][2790/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 2.8411 (2.7795)	Prec@1 38.281 (33.888)	Prec@5 65.625 (64.161)
Epoch: [11][2800/14090]	Time 0.872 (0.766)	Data 0.001 (0.002)	Loss 2.7303 (2.7797)	Prec@1 38.281 (33.886)	Prec@5 62.500 (64.156)
Epoch: [11][2810/14090]	Time 0.728 (0.766)	Data 0.001 (0.002)	Loss 2.8252 (2.7796)	Prec@1 31.250 (33.886)	Prec@5 64.844 (64.160)
Epoch: [11][2820/14090]	Time 0.720 (0.766)	Data 0.001 (0.002)	Loss 2.7011 (2.7799)	Prec@1 32.031 (33.881)	Prec@5 66.406 (64.152)
Epoch: [11][2830/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 2.9080 (2.7804)	Prec@1 35.156 (33.879)	Prec@5 59.375 (64.140)
Epoch: [11][2840/14090]	Time 0.765 (0.766)	Data 0.001 (0.002)	Loss 2.5757 (2.7805)	Prec@1 39.844 (33.884)	Prec@5 68.750 (64.134)
Epoch: [11][2850/14090]	Time 0.766 (0.766)	Data 0.001 (0.002)	Loss 2.5916 (2.7807)	Prec@1 37.500 (33.881)	Prec@5 64.844 (64.126)
Epoch: [11][2860/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 2.7072 (2.7807)	Prec@1 32.031 (33.878)	Prec@5 62.500 (64.131)
Epoch: [11][2870/14090]	Time 0.880 (0.766)	Data 0.001 (0.002)	Loss 3.0701 (2.7807)	Prec@1 26.562 (33.878)	Prec@5 55.469 (64.130)
Epoch: [11][2880/14090]	Time 0.728 (0.766)	Data 0.001 (0.002)	Loss 3.0471 (2.7809)	Prec@1 29.688 (33.873)	Prec@5 57.812 (64.131)
Epoch: [11][2890/14090]	Time 0.765 (0.766)	Data 0.001 (0.002)	Loss 2.6695 (2.7811)	Prec@1 37.500 (33.872)	Prec@5 65.625 (64.126)
Epoch: [11][2900/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.7418 (2.7809)	Prec@1 28.906 (33.872)	Prec@5 64.062 (64.133)
Epoch: [11][2910/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.6144 (2.7808)	Prec@1 35.938 (33.878)	Prec@5 72.656 (64.139)
Epoch: [11][2920/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.8578 (2.7806)	Prec@1 34.375 (33.886)	Prec@5 65.625 (64.142)
Epoch: [11][2930/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.6892 (2.7803)	Prec@1 34.375 (33.892)	Prec@5 64.062 (64.145)
Epoch: [11][2940/14090]	Time 0.878 (0.766)	Data 0.001 (0.002)	Loss 2.9142 (2.7802)	Prec@1 30.469 (33.893)	Prec@5 60.156 (64.147)
Epoch: [11][2950/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.8103 (2.7800)	Prec@1 35.156 (33.893)	Prec@5 64.844 (64.148)
Epoch: [11][2960/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.5940 (2.7797)	Prec@1 35.938 (33.904)	Prec@5 71.094 (64.155)
Epoch: [11][2970/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 2.9772 (2.7794)	Prec@1 28.906 (33.908)	Prec@5 56.250 (64.163)
Epoch: [11][2980/14090]	Time 0.770 (0.766)	Data 0.001 (0.002)	Loss 2.4826 (2.7793)	Prec@1 38.281 (33.907)	Prec@5 67.969 (64.168)
Epoch: [11][2990/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 2.7201 (2.7792)	Prec@1 43.750 (33.913)	Prec@5 67.188 (64.163)
Epoch: [11][3000/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.8248 (2.7793)	Prec@1 35.156 (33.914)	Prec@5 62.500 (64.162)
Epoch: [11][3010/14090]	Time 0.878 (0.766)	Data 0.001 (0.002)	Loss 2.8997 (2.7794)	Prec@1 32.812 (33.915)	Prec@5 60.938 (64.163)
Epoch: [11][3020/14090]	Time 0.773 (0.766)	Data 0.001 (0.002)	Loss 2.7722 (2.7792)	Prec@1 31.250 (33.921)	Prec@5 67.188 (64.170)
Epoch: [11][3030/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.6992 (2.7793)	Prec@1 32.031 (33.921)	Prec@5 64.062 (64.164)
Epoch: [11][3040/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 2.6562 (2.7792)	Prec@1 34.375 (33.923)	Prec@5 68.750 (64.164)
Epoch: [11][3050/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 2.7218 (2.7790)	Prec@1 31.250 (33.932)	Prec@5 67.188 (64.165)
Epoch: [11][3060/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.7695 (2.7789)	Prec@1 35.938 (33.930)	Prec@5 64.062 (64.170)
Epoch: [11][3070/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.8338 (2.7789)	Prec@1 32.031 (33.928)	Prec@5 66.406 (64.175)
Epoch: [11][3080/14090]	Time 0.838 (0.766)	Data 0.001 (0.002)	Loss 2.5405 (2.7787)	Prec@1 34.375 (33.936)	Prec@5 67.969 (64.177)
Epoch: [11][3090/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 2.9545 (2.7788)	Prec@1 29.688 (33.932)	Prec@5 63.281 (64.175)
Epoch: [11][3100/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.8434 (2.7789)	Prec@1 34.375 (33.933)	Prec@5 62.500 (64.170)
Epoch: [11][3110/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.9484 (2.7791)	Prec@1 22.656 (33.928)	Prec@5 60.938 (64.171)
Epoch: [11][3120/14090]	Time 0.777 (0.766)	Data 0.001 (0.002)	Loss 2.7876 (2.7795)	Prec@1 35.156 (33.925)	Prec@5 65.625 (64.166)
Epoch: [11][3130/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.8349 (2.7796)	Prec@1 28.125 (33.918)	Prec@5 62.500 (64.166)
Epoch: [11][3140/14090]	Time 0.727 (0.766)	Data 0.001 (0.002)	Loss 2.9320 (2.7798)	Prec@1 34.375 (33.918)	Prec@5 62.500 (64.164)
Epoch: [11][3150/14090]	Time 0.856 (0.766)	Data 0.001 (0.002)	Loss 2.4581 (2.7793)	Prec@1 36.719 (33.923)	Prec@5 74.219 (64.173)
Epoch: [11][3160/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.8816 (2.7796)	Prec@1 35.156 (33.920)	Prec@5 62.500 (64.171)
Epoch: [11][3170/14090]	Time 0.724 (0.766)	Data 0.001 (0.002)	Loss 2.8278 (2.7795)	Prec@1 29.688 (33.922)	Prec@5 63.281 (64.172)
Epoch: [11][3180/14090]	Time 0.777 (0.766)	Data 0.001 (0.002)	Loss 2.9732 (2.7794)	Prec@1 23.438 (33.924)	Prec@5 63.281 (64.176)
Epoch: [11][3190/14090]	Time 0.773 (0.766)	Data 0.001 (0.002)	Loss 2.5882 (2.7795)	Prec@1 31.250 (33.921)	Prec@5 71.094 (64.175)
Epoch: [11][3200/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.6244 (2.7794)	Prec@1 39.062 (33.921)	Prec@5 65.625 (64.178)
Epoch: [11][3210/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.8938 (2.7793)	Prec@1 31.250 (33.920)	Prec@5 58.594 (64.181)
Epoch: [11][3220/14090]	Time 0.867 (0.766)	Data 0.001 (0.002)	Loss 2.7250 (2.7791)	Prec@1 35.156 (33.928)	Prec@5 69.531 (64.184)
Epoch: [11][3230/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.5896 (2.7789)	Prec@1 33.594 (33.932)	Prec@5 63.281 (64.184)
Epoch: [11][3240/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.9856 (2.7788)	Prec@1 25.781 (33.934)	Prec@5 59.375 (64.187)
Epoch: [11][3250/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.9477 (2.7790)	Prec@1 25.781 (33.927)	Prec@5 67.188 (64.181)
Epoch: [11][3260/14090]	Time 0.723 (0.766)	Data 0.001 (0.002)	Loss 3.1667 (2.7791)	Prec@1 22.656 (33.919)	Prec@5 56.250 (64.183)
Epoch: [11][3270/14090]	Time 0.725 (0.766)	Data 0.001 (0.002)	Loss 3.1192 (2.7789)	Prec@1 27.344 (33.925)	Prec@5 56.250 (64.184)
Epoch: [11][3280/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.7815 (2.7791)	Prec@1 31.250 (33.918)	Prec@5 62.500 (64.180)
Epoch: [11][3290/14090]	Time 0.875 (0.766)	Data 0.002 (0.002)	Loss 2.3403 (2.7788)	Prec@1 43.750 (33.923)	Prec@5 75.000 (64.187)
Epoch: [11][3300/14090]	Time 0.770 (0.766)	Data 0.001 (0.002)	Loss 3.0191 (2.7792)	Prec@1 29.688 (33.918)	Prec@5 57.031 (64.178)
Epoch: [11][3310/14090]	Time 0.765 (0.766)	Data 0.001 (0.002)	Loss 2.8407 (2.7791)	Prec@1 33.594 (33.911)	Prec@5 62.500 (64.181)
Epoch: [11][3320/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 3.0769 (2.7791)	Prec@1 24.219 (33.910)	Prec@5 60.156 (64.179)
Epoch: [11][3330/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.7928 (2.7792)	Prec@1 32.031 (33.912)	Prec@5 66.406 (64.177)
Epoch: [11][3340/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 2.5683 (2.7792)	Prec@1 39.844 (33.911)	Prec@5 68.750 (64.179)
Epoch: [11][3350/14090]	Time 0.765 (0.766)	Data 0.001 (0.002)	Loss 2.8798 (2.7794)	Prec@1 33.594 (33.907)	Prec@5 60.156 (64.176)
Epoch: [11][3360/14090]	Time 0.840 (0.766)	Data 0.001 (0.002)	Loss 2.8692 (2.7793)	Prec@1 32.812 (33.904)	Prec@5 58.594 (64.178)
Epoch: [11][3370/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.4448 (2.7793)	Prec@1 42.969 (33.903)	Prec@5 69.531 (64.179)
Epoch: [11][3380/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.9142 (2.7793)	Prec@1 25.000 (33.903)	Prec@5 65.625 (64.178)
Epoch: [11][3390/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 2.7683 (2.7791)	Prec@1 32.031 (33.906)	Prec@5 66.406 (64.183)
Epoch: [11][3400/14090]	Time 0.724 (0.766)	Data 0.001 (0.002)	Loss 2.7947 (2.7790)	Prec@1 32.031 (33.909)	Prec@5 64.844 (64.184)
Epoch: [11][3410/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.6584 (2.7789)	Prec@1 35.156 (33.913)	Prec@5 67.969 (64.187)
Epoch: [11][3420/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 2.6408 (2.7786)	Prec@1 36.719 (33.919)	Prec@5 67.969 (64.193)
Epoch: [11][3430/14090]	Time 0.834 (0.766)	Data 0.001 (0.002)	Loss 2.6862 (2.7785)	Prec@1 35.938 (33.923)	Prec@5 69.531 (64.195)
Epoch: [11][3440/14090]	Time 0.724 (0.766)	Data 0.001 (0.002)	Loss 3.0035 (2.7787)	Prec@1 33.594 (33.922)	Prec@5 60.938 (64.190)
Epoch: [11][3450/14090]	Time 0.779 (0.766)	Data 0.001 (0.002)	Loss 2.9054 (2.7789)	Prec@1 34.375 (33.923)	Prec@5 65.625 (64.187)
Epoch: [11][3460/14090]	Time 0.722 (0.766)	Data 0.001 (0.002)	Loss 2.6123 (2.7787)	Prec@1 34.375 (33.925)	Prec@5 65.625 (64.191)
Epoch: [11][3470/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 3.0789 (2.7787)	Prec@1 29.688 (33.923)	Prec@5 60.156 (64.192)
Epoch: [11][3480/14090]	Time 0.769 (0.766)	Data 0.001 (0.002)	Loss 2.9762 (2.7789)	Prec@1 32.812 (33.917)	Prec@5 62.500 (64.186)
Epoch: [11][3490/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 2.7488 (2.7789)	Prec@1 30.469 (33.912)	Prec@5 64.844 (64.190)
Epoch: [11][3500/14090]	Time 0.901 (0.766)	Data 0.001 (0.002)	Loss 2.8799 (2.7788)	Prec@1 25.781 (33.915)	Prec@5 58.594 (64.194)
Epoch: [11][3510/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 2.6703 (2.7787)	Prec@1 35.938 (33.917)	Prec@5 62.500 (64.188)
Epoch: [11][3520/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.5562 (2.7784)	Prec@1 41.406 (33.924)	Prec@5 67.188 (64.191)
Epoch: [11][3530/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 3.0855 (2.7787)	Prec@1 23.438 (33.916)	Prec@5 54.688 (64.188)
Epoch: [11][3540/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.7028 (2.7788)	Prec@1 35.156 (33.910)	Prec@5 64.844 (64.189)
Epoch: [11][3550/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.6804 (2.7786)	Prec@1 34.375 (33.917)	Prec@5 67.188 (64.194)
Epoch: [11][3560/14090]	Time 0.728 (0.766)	Data 0.001 (0.002)	Loss 2.8886 (2.7787)	Prec@1 34.375 (33.918)	Prec@5 62.500 (64.191)
Epoch: [11][3570/14090]	Time 0.866 (0.766)	Data 0.001 (0.002)	Loss 2.6593 (2.7789)	Prec@1 35.156 (33.918)	Prec@5 70.312 (64.189)
Epoch: [11][3580/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 3.2560 (2.7790)	Prec@1 22.656 (33.911)	Prec@5 52.344 (64.187)
Epoch: [11][3590/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 2.5405 (2.7790)	Prec@1 33.594 (33.911)	Prec@5 64.062 (64.185)
Epoch: [11][3600/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 2.6273 (2.7791)	Prec@1 38.281 (33.911)	Prec@5 64.062 (64.180)
Epoch: [11][3610/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 2.3912 (2.7788)	Prec@1 46.094 (33.918)	Prec@5 72.656 (64.188)
Epoch: [11][3620/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 2.7553 (2.7788)	Prec@1 35.156 (33.919)	Prec@5 62.500 (64.186)
Epoch: [11][3630/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.2800 (2.7786)	Prec@1 43.750 (33.924)	Prec@5 74.219 (64.188)
Epoch: [11][3640/14090]	Time 0.876 (0.766)	Data 0.001 (0.002)	Loss 2.5292 (2.7786)	Prec@1 42.188 (33.927)	Prec@5 67.188 (64.186)
Epoch: [11][3650/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 2.7883 (2.7788)	Prec@1 33.594 (33.923)	Prec@5 63.281 (64.184)
Epoch: [11][3660/14090]	Time 0.773 (0.766)	Data 0.001 (0.002)	Loss 2.7905 (2.7787)	Prec@1 30.469 (33.927)	Prec@5 57.812 (64.186)
Epoch: [11][3670/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 2.9298 (2.7786)	Prec@1 34.375 (33.927)	Prec@5 60.938 (64.190)
Epoch: [11][3680/14090]	Time 0.727 (0.766)	Data 0.001 (0.002)	Loss 2.2792 (2.7784)	Prec@1 44.531 (33.929)	Prec@5 75.000 (64.192)
Epoch: [11][3690/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.4068 (2.7783)	Prec@1 36.719 (33.932)	Prec@5 71.875 (64.191)
Epoch: [11][3700/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.6346 (2.7784)	Prec@1 34.375 (33.928)	Prec@5 69.531 (64.188)
Epoch: [11][3710/14090]	Time 0.813 (0.766)	Data 0.001 (0.002)	Loss 2.6700 (2.7784)	Prec@1 34.375 (33.926)	Prec@5 65.625 (64.191)
Epoch: [11][3720/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.8932 (2.7785)	Prec@1 31.250 (33.924)	Prec@5 62.500 (64.192)
Epoch: [11][3730/14090]	Time 0.763 (0.766)	Data 0.001 (0.002)	Loss 2.7443 (2.7785)	Prec@1 33.594 (33.921)	Prec@5 66.406 (64.188)
Epoch: [11][3740/14090]	Time 0.724 (0.766)	Data 0.001 (0.002)	Loss 3.1265 (2.7787)	Prec@1 25.000 (33.923)	Prec@5 56.250 (64.189)
Epoch: [11][3750/14090]	Time 0.767 (0.766)	Data 0.001 (0.002)	Loss 2.8918 (2.7790)	Prec@1 31.250 (33.916)	Prec@5 64.062 (64.183)
Epoch: [11][3760/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 2.9585 (2.7790)	Prec@1 36.719 (33.918)	Prec@5 56.250 (64.184)
Epoch: [11][3770/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.7633 (2.7790)	Prec@1 32.031 (33.917)	Prec@5 67.188 (64.187)
Epoch: [11][3780/14090]	Time 0.880 (0.766)	Data 0.001 (0.002)	Loss 2.8117 (2.7791)	Prec@1 32.812 (33.915)	Prec@5 67.969 (64.183)
Epoch: [11][3790/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.8528 (2.7790)	Prec@1 30.469 (33.912)	Prec@5 62.500 (64.186)
Epoch: [11][3800/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 2.7917 (2.7791)	Prec@1 32.031 (33.911)	Prec@5 64.062 (64.187)
Epoch: [11][3810/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 2.8449 (2.7791)	Prec@1 29.688 (33.910)	Prec@5 63.281 (64.188)
Epoch: [11][3820/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 2.5867 (2.7793)	Prec@1 38.281 (33.905)	Prec@5 68.750 (64.187)
Epoch: [11][3830/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.9849 (2.7794)	Prec@1 32.031 (33.903)	Prec@5 59.375 (64.182)
Epoch: [11][3840/14090]	Time 0.725 (0.766)	Data 0.001 (0.002)	Loss 2.9968 (2.7795)	Prec@1 25.781 (33.900)	Prec@5 60.938 (64.180)
Epoch: [11][3850/14090]	Time 0.880 (0.766)	Data 0.001 (0.002)	Loss 2.8244 (2.7795)	Prec@1 32.812 (33.901)	Prec@5 60.938 (64.178)
Epoch: [11][3860/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 2.9676 (2.7795)	Prec@1 32.031 (33.902)	Prec@5 60.156 (64.176)
Epoch: [11][3870/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 2.9278 (2.7796)	Prec@1 30.469 (33.896)	Prec@5 60.156 (64.175)
Epoch: [11][3880/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 2.5564 (2.7797)	Prec@1 39.062 (33.900)	Prec@5 66.406 (64.172)
Epoch: [11][3890/14090]	Time 0.744 (0.765)	Data 0.001 (0.002)	Loss 3.0895 (2.7796)	Prec@1 26.562 (33.905)	Prec@5 55.469 (64.169)
Epoch: [11][3900/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 2.4909 (2.7795)	Prec@1 43.750 (33.903)	Prec@5 74.219 (64.170)
Epoch: [11][3910/14090]	Time 0.735 (0.765)	Data 0.001 (0.002)	Loss 2.7842 (2.7796)	Prec@1 38.281 (33.901)	Prec@5 64.844 (64.167)
Epoch: [11][3920/14090]	Time 0.879 (0.766)	Data 0.001 (0.002)	Loss 2.8744 (2.7796)	Prec@1 28.906 (33.899)	Prec@5 63.281 (64.165)
Epoch: [11][3930/14090]	Time 0.754 (0.765)	Data 0.001 (0.002)	Loss 2.8923 (2.7797)	Prec@1 38.281 (33.901)	Prec@5 60.156 (64.164)
Epoch: [11][3940/14090]	Time 0.737 (0.765)	Data 0.001 (0.002)	Loss 2.7498 (2.7799)	Prec@1 39.844 (33.903)	Prec@5 63.281 (64.163)
Epoch: [11][3950/14090]	Time 0.747 (0.765)	Data 0.001 (0.002)	Loss 2.7786 (2.7800)	Prec@1 31.250 (33.899)	Prec@5 64.844 (64.160)
Epoch: [11][3960/14090]	Time 0.722 (0.765)	Data 0.001 (0.002)	Loss 2.7601 (2.7801)	Prec@1 38.281 (33.896)	Prec@5 62.500 (64.156)
Epoch: [11][3970/14090]	Time 0.737 (0.765)	Data 0.001 (0.002)	Loss 3.0537 (2.7801)	Prec@1 24.219 (33.895)	Prec@5 60.938 (64.156)
Epoch: [11][3980/14090]	Time 0.779 (0.765)	Data 0.001 (0.002)	Loss 2.8047 (2.7802)	Prec@1 32.812 (33.891)	Prec@5 66.406 (64.155)
Epoch: [11][3990/14090]	Time 0.864 (0.765)	Data 0.001 (0.002)	Loss 2.6694 (2.7800)	Prec@1 33.594 (33.896)	Prec@5 65.625 (64.155)
Epoch: [11][4000/14090]	Time 0.751 (0.765)	Data 0.001 (0.002)	Loss 2.8492 (2.7797)	Prec@1 35.156 (33.898)	Prec@5 60.938 (64.161)
Epoch: [11][4010/14090]	Time 0.752 (0.765)	Data 0.001 (0.002)	Loss 3.0300 (2.7797)	Prec@1 27.344 (33.897)	Prec@5 58.594 (64.159)
Epoch: [11][4020/14090]	Time 0.746 (0.765)	Data 0.001 (0.002)	Loss 2.9090 (2.7799)	Prec@1 32.031 (33.896)	Prec@5 61.719 (64.155)
Epoch: [11][4030/14090]	Time 0.732 (0.765)	Data 0.001 (0.002)	Loss 3.0912 (2.7799)	Prec@1 28.125 (33.898)	Prec@5 55.469 (64.154)
Epoch: [11][4040/14090]	Time 0.755 (0.765)	Data 0.001 (0.002)	Loss 3.0027 (2.7801)	Prec@1 32.812 (33.897)	Prec@5 57.812 (64.152)
Epoch: [11][4050/14090]	Time 0.764 (0.765)	Data 0.001 (0.002)	Loss 2.9401 (2.7798)	Prec@1 31.250 (33.900)	Prec@5 58.594 (64.156)
Epoch: [11][4060/14090]	Time 0.862 (0.765)	Data 0.001 (0.002)	Loss 2.7380 (2.7797)	Prec@1 33.594 (33.899)	Prec@5 64.062 (64.158)
Epoch: [11][4070/14090]	Time 0.735 (0.765)	Data 0.001 (0.002)	Loss 2.5231 (2.7798)	Prec@1 39.062 (33.898)	Prec@5 68.750 (64.159)
Epoch: [11][4080/14090]	Time 0.735 (0.765)	Data 0.001 (0.002)	Loss 2.8207 (2.7797)	Prec@1 33.594 (33.900)	Prec@5 65.625 (64.163)
Epoch: [11][4090/14090]	Time 0.753 (0.765)	Data 0.001 (0.002)	Loss 2.7623 (2.7798)	Prec@1 31.250 (33.898)	Prec@5 66.406 (64.162)
Epoch: [11][4100/14090]	Time 0.721 (0.765)	Data 0.001 (0.002)	Loss 2.9146 (2.7799)	Prec@1 32.031 (33.899)	Prec@5 62.500 (64.160)
Epoch: [11][4110/14090]	Time 0.748 (0.765)	Data 0.001 (0.002)	Loss 2.5171 (2.7797)	Prec@1 41.406 (33.903)	Prec@5 71.094 (64.163)
Epoch: [11][4120/14090]	Time 0.740 (0.765)	Data 0.001 (0.002)	Loss 2.7363 (2.7797)	Prec@1 40.625 (33.905)	Prec@5 64.062 (64.163)
Epoch: [11][4130/14090]	Time 0.869 (0.765)	Data 0.001 (0.002)	Loss 2.9879 (2.7795)	Prec@1 35.938 (33.916)	Prec@5 57.812 (64.166)
Epoch: [11][4140/14090]	Time 0.733 (0.765)	Data 0.001 (0.002)	Loss 2.9170 (2.7796)	Prec@1 27.344 (33.914)	Prec@5 58.594 (64.161)
Epoch: [11][4150/14090]	Time 0.729 (0.765)	Data 0.001 (0.002)	Loss 2.7856 (2.7797)	Prec@1 32.031 (33.913)	Prec@5 64.062 (64.160)
Epoch: [11][4160/14090]	Time 0.742 (0.765)	Data 0.001 (0.002)	Loss 2.8372 (2.7794)	Prec@1 32.812 (33.914)	Prec@5 64.062 (64.164)
Epoch: [11][4170/14090]	Time 0.755 (0.765)	Data 0.001 (0.002)	Loss 2.6201 (2.7794)	Prec@1 37.500 (33.917)	Prec@5 64.844 (64.166)
Epoch: [11][4180/14090]	Time 0.759 (0.765)	Data 0.001 (0.002)	Loss 2.7588 (2.7794)	Prec@1 33.594 (33.915)	Prec@5 64.062 (64.165)
Epoch: [11][4190/14090]	Time 0.748 (0.765)	Data 0.001 (0.002)	Loss 2.5608 (2.7794)	Prec@1 39.062 (33.915)	Prec@5 67.188 (64.163)
Epoch: [11][4200/14090]	Time 0.841 (0.765)	Data 0.001 (0.002)	Loss 2.5228 (2.7795)	Prec@1 39.062 (33.909)	Prec@5 71.094 (64.161)
Epoch: [11][4210/14090]	Time 0.735 (0.765)	Data 0.001 (0.002)	Loss 2.8167 (2.7796)	Prec@1 32.031 (33.905)	Prec@5 60.938 (64.158)
Epoch: [11][4220/14090]	Time 0.727 (0.765)	Data 0.001 (0.002)	Loss 2.7233 (2.7797)	Prec@1 32.812 (33.905)	Prec@5 65.625 (64.152)
Epoch: [11][4230/14090]	Time 0.754 (0.765)	Data 0.001 (0.002)	Loss 2.6790 (2.7797)	Prec@1 39.844 (33.906)	Prec@5 64.844 (64.154)
Epoch: [11][4240/14090]	Time 0.753 (0.765)	Data 0.001 (0.002)	Loss 3.0041 (2.7796)	Prec@1 33.594 (33.903)	Prec@5 60.156 (64.153)
Epoch: [11][4250/14090]	Time 0.747 (0.765)	Data 0.001 (0.002)	Loss 2.5965 (2.7795)	Prec@1 39.844 (33.909)	Prec@5 68.750 (64.153)
Epoch: [11][4260/14090]	Time 0.749 (0.765)	Data 0.001 (0.002)	Loss 2.7852 (2.7794)	Prec@1 28.125 (33.906)	Prec@5 65.625 (64.154)
Epoch: [11][4270/14090]	Time 0.859 (0.765)	Data 0.001 (0.002)	Loss 2.6741 (2.7796)	Prec@1 38.281 (33.905)	Prec@5 67.188 (64.149)
Epoch: [11][4280/14090]	Time 0.741 (0.765)	Data 0.001 (0.002)	Loss 3.0522 (2.7797)	Prec@1 25.781 (33.903)	Prec@5 57.812 (64.150)
Epoch: [11][4290/14090]	Time 0.759 (0.765)	Data 0.001 (0.002)	Loss 2.7981 (2.7799)	Prec@1 42.969 (33.901)	Prec@5 64.844 (64.145)
Epoch: [11][4300/14090]	Time 0.727 (0.765)	Data 0.002 (0.002)	Loss 2.7183 (2.7798)	Prec@1 32.812 (33.902)	Prec@5 65.625 (64.145)
Epoch: [11][4310/14090]	Time 0.756 (0.765)	Data 0.001 (0.002)	Loss 2.7450 (2.7797)	Prec@1 39.062 (33.902)	Prec@5 66.406 (64.145)
Epoch: [11][4320/14090]	Time 0.767 (0.765)	Data 0.001 (0.002)	Loss 2.6874 (2.7796)	Prec@1 35.156 (33.908)	Prec@5 60.938 (64.146)
Epoch: [11][4330/14090]	Time 0.764 (0.765)	Data 0.001 (0.002)	Loss 2.6932 (2.7796)	Prec@1 32.812 (33.905)	Prec@5 63.281 (64.143)
Epoch: [11][4340/14090]	Time 0.837 (0.765)	Data 0.001 (0.002)	Loss 2.6785 (2.7796)	Prec@1 42.188 (33.909)	Prec@5 68.750 (64.144)
Epoch: [11][4350/14090]	Time 0.747 (0.765)	Data 0.001 (0.002)	Loss 2.8922 (2.7797)	Prec@1 32.031 (33.907)	Prec@5 59.375 (64.139)
Epoch: [11][4360/14090]	Time 0.761 (0.765)	Data 0.001 (0.002)	Loss 2.7530 (2.7797)	Prec@1 35.938 (33.906)	Prec@5 60.938 (64.137)
Epoch: [11][4370/14090]	Time 0.753 (0.765)	Data 0.001 (0.002)	Loss 2.3981 (2.7797)	Prec@1 43.750 (33.907)	Prec@5 72.656 (64.139)
Epoch: [11][4380/14090]	Time 0.760 (0.765)	Data 0.001 (0.002)	Loss 2.9032 (2.7795)	Prec@1 32.031 (33.908)	Prec@5 60.938 (64.142)
Epoch: [11][4390/14090]	Time 0.746 (0.765)	Data 0.001 (0.002)	Loss 2.6786 (2.7795)	Prec@1 35.938 (33.910)	Prec@5 65.625 (64.143)
Epoch: [11][4400/14090]	Time 0.724 (0.765)	Data 0.001 (0.002)	Loss 2.6893 (2.7797)	Prec@1 40.625 (33.908)	Prec@5 63.281 (64.139)
Epoch: [11][4410/14090]	Time 0.881 (0.765)	Data 0.001 (0.002)	Loss 3.1528 (2.7797)	Prec@1 28.125 (33.907)	Prec@5 57.031 (64.139)
Epoch: [11][4420/14090]	Time 0.764 (0.765)	Data 0.001 (0.002)	Loss 2.8175 (2.7798)	Prec@1 37.500 (33.906)	Prec@5 59.375 (64.134)
Epoch: [11][4430/14090]	Time 0.753 (0.765)	Data 0.001 (0.002)	Loss 2.8507 (2.7798)	Prec@1 35.156 (33.906)	Prec@5 64.844 (64.136)
Epoch: [11][4440/14090]	Time 0.728 (0.765)	Data 0.001 (0.002)	Loss 3.0142 (2.7799)	Prec@1 34.375 (33.904)	Prec@5 57.031 (64.136)
Epoch: [11][4450/14090]	Time 0.751 (0.765)	Data 0.001 (0.002)	Loss 2.7314 (2.7800)	Prec@1 30.469 (33.901)	Prec@5 70.312 (64.137)
Epoch: [11][4460/14090]	Time 0.755 (0.765)	Data 0.001 (0.002)	Loss 2.7879 (2.7800)	Prec@1 34.375 (33.901)	Prec@5 60.938 (64.134)
Epoch: [11][4470/14090]	Time 0.777 (0.765)	Data 0.001 (0.002)	Loss 2.6626 (2.7801)	Prec@1 33.594 (33.898)	Prec@5 67.188 (64.134)
Epoch: [11][4480/14090]	Time 0.878 (0.765)	Data 0.001 (0.002)	Loss 2.7615 (2.7800)	Prec@1 36.719 (33.903)	Prec@5 59.375 (64.135)
Epoch: [11][4490/14090]	Time 0.741 (0.765)	Data 0.001 (0.002)	Loss 2.6817 (2.7799)	Prec@1 35.156 (33.899)	Prec@5 67.188 (64.135)
Epoch: [11][4500/14090]	Time 0.758 (0.765)	Data 0.001 (0.002)	Loss 2.7522 (2.7798)	Prec@1 34.375 (33.901)	Prec@5 65.625 (64.137)
Epoch: [11][4510/14090]	Time 0.753 (0.765)	Data 0.001 (0.002)	Loss 2.7840 (2.7797)	Prec@1 35.156 (33.905)	Prec@5 61.719 (64.140)
Epoch: [11][4520/14090]	Time 0.741 (0.765)	Data 0.001 (0.002)	Loss 2.8319 (2.7797)	Prec@1 33.594 (33.907)	Prec@5 64.062 (64.139)
Epoch: [11][4530/14090]	Time 0.754 (0.765)	Data 0.001 (0.002)	Loss 2.6022 (2.7796)	Prec@1 38.281 (33.905)	Prec@5 71.875 (64.138)
Epoch: [11][4540/14090]	Time 0.766 (0.765)	Data 0.001 (0.002)	Loss 2.8140 (2.7797)	Prec@1 35.156 (33.903)	Prec@5 62.500 (64.136)
Epoch: [11][4550/14090]	Time 0.874 (0.765)	Data 0.001 (0.002)	Loss 2.5570 (2.7795)	Prec@1 44.531 (33.907)	Prec@5 67.969 (64.141)
Epoch: [11][4560/14090]	Time 0.731 (0.765)	Data 0.001 (0.002)	Loss 2.8469 (2.7794)	Prec@1 31.250 (33.907)	Prec@5 61.719 (64.145)
Epoch: [11][4570/14090]	Time 0.780 (0.765)	Data 0.001 (0.002)	Loss 2.7733 (2.7795)	Prec@1 32.812 (33.907)	Prec@5 68.750 (64.146)
Epoch: [11][4580/14090]	Time 0.738 (0.765)	Data 0.001 (0.002)	Loss 2.9789 (2.7795)	Prec@1 30.469 (33.908)	Prec@5 57.031 (64.148)
Epoch: [11][4590/14090]	Time 0.756 (0.765)	Data 0.001 (0.002)	Loss 2.9799 (2.7797)	Prec@1 28.125 (33.901)	Prec@5 56.250 (64.142)
Epoch: [11][4600/14090]	Time 0.733 (0.765)	Data 0.001 (0.002)	Loss 2.6330 (2.7795)	Prec@1 38.281 (33.904)	Prec@5 64.844 (64.145)
Epoch: [11][4610/14090]	Time 0.734 (0.765)	Data 0.001 (0.002)	Loss 2.6847 (2.7796)	Prec@1 34.375 (33.901)	Prec@5 67.188 (64.143)
Epoch: [11][4620/14090]	Time 0.851 (0.765)	Data 0.001 (0.002)	Loss 2.8889 (2.7795)	Prec@1 31.250 (33.905)	Prec@5 60.938 (64.145)
Epoch: [11][4630/14090]	Time 0.735 (0.765)	Data 0.001 (0.002)	Loss 2.5551 (2.7794)	Prec@1 36.719 (33.906)	Prec@5 69.531 (64.145)
Epoch: [11][4640/14090]	Time 0.751 (0.765)	Data 0.001 (0.002)	Loss 2.8726 (2.7794)	Prec@1 28.906 (33.905)	Prec@5 64.844 (64.147)
Epoch: [11][4650/14090]	Time 0.731 (0.765)	Data 0.001 (0.002)	Loss 2.7855 (2.7794)	Prec@1 31.250 (33.904)	Prec@5 66.406 (64.143)
Epoch: [11][4660/14090]	Time 0.731 (0.765)	Data 0.001 (0.002)	Loss 2.6886 (2.7796)	Prec@1 37.500 (33.903)	Prec@5 60.938 (64.138)
Epoch: [11][4670/14090]	Time 0.728 (0.765)	Data 0.001 (0.002)	Loss 2.5556 (2.7795)	Prec@1 39.844 (33.900)	Prec@5 68.750 (64.141)
Epoch: [11][4680/14090]	Time 0.780 (0.765)	Data 0.001 (0.002)	Loss 2.8378 (2.7794)	Prec@1 34.375 (33.900)	Prec@5 64.844 (64.144)
Epoch: [11][4690/14090]	Time 0.873 (0.765)	Data 0.001 (0.002)	Loss 2.6188 (2.7792)	Prec@1 36.719 (33.902)	Prec@5 68.750 (64.146)
Epoch: [11][4700/14090]	Time 0.755 (0.765)	Data 0.001 (0.002)	Loss 2.7226 (2.7793)	Prec@1 32.812 (33.904)	Prec@5 67.188 (64.146)
Epoch: [11][4710/14090]	Time 0.733 (0.765)	Data 0.001 (0.002)	Loss 2.7820 (2.7793)	Prec@1 40.625 (33.907)	Prec@5 60.938 (64.146)
Epoch: [11][4720/14090]	Time 0.779 (0.765)	Data 0.001 (0.002)	Loss 2.5254 (2.7792)	Prec@1 39.844 (33.910)	Prec@5 68.750 (64.150)
Epoch: [11][4730/14090]	Time 0.746 (0.765)	Data 0.001 (0.002)	Loss 2.9516 (2.7793)	Prec@1 32.812 (33.910)	Prec@5 60.156 (64.146)
Epoch: [11][4740/14090]	Time 0.754 (0.765)	Data 0.001 (0.002)	Loss 2.7352 (2.7794)	Prec@1 31.250 (33.910)	Prec@5 64.062 (64.141)
Epoch: [11][4750/14090]	Time 0.739 (0.765)	Data 0.001 (0.002)	Loss 2.9146 (2.7796)	Prec@1 33.594 (33.904)	Prec@5 62.500 (64.135)
Epoch: [11][4760/14090]	Time 0.921 (0.765)	Data 0.001 (0.002)	Loss 2.6899 (2.7795)	Prec@1 35.938 (33.903)	Prec@5 67.188 (64.138)
Epoch: [11][4770/14090]	Time 0.737 (0.765)	Data 0.001 (0.002)	Loss 2.7162 (2.7793)	Prec@1 37.500 (33.905)	Prec@5 67.188 (64.147)
Epoch: [11][4780/14090]	Time 0.741 (0.765)	Data 0.001 (0.002)	Loss 2.7786 (2.7794)	Prec@1 39.062 (33.904)	Prec@5 64.062 (64.142)
Epoch: [11][4790/14090]	Time 0.736 (0.765)	Data 0.001 (0.002)	Loss 2.9197 (2.7796)	Prec@1 34.375 (33.906)	Prec@5 66.406 (64.139)
Epoch: [11][4800/14090]	Time 0.761 (0.765)	Data 0.001 (0.002)	Loss 2.9187 (2.7797)	Prec@1 32.812 (33.905)	Prec@5 60.156 (64.135)
Epoch: [11][4810/14090]	Time 0.745 (0.765)	Data 0.001 (0.002)	Loss 2.9252 (2.7798)	Prec@1 31.250 (33.903)	Prec@5 58.594 (64.130)
Epoch: [11][4820/14090]	Time 0.735 (0.765)	Data 0.001 (0.002)	Loss 2.9358 (2.7797)	Prec@1 32.031 (33.904)	Prec@5 56.250 (64.131)
Epoch: [11][4830/14090]	Time 0.873 (0.765)	Data 0.001 (0.002)	Loss 2.7550 (2.7799)	Prec@1 37.500 (33.900)	Prec@5 63.281 (64.124)
Epoch: [11][4840/14090]	Time 0.741 (0.765)	Data 0.001 (0.002)	Loss 2.9661 (2.7800)	Prec@1 29.688 (33.899)	Prec@5 59.375 (64.124)
Epoch: [11][4850/14090]	Time 0.737 (0.765)	Data 0.001 (0.002)	Loss 2.9422 (2.7800)	Prec@1 29.688 (33.900)	Prec@5 60.156 (64.122)
Epoch: [11][4860/14090]	Time 0.772 (0.765)	Data 0.001 (0.002)	Loss 2.7652 (2.7802)	Prec@1 30.469 (33.897)	Prec@5 60.156 (64.118)
Epoch: [11][4870/14090]	Time 0.724 (0.765)	Data 0.001 (0.002)	Loss 2.6937 (2.7801)	Prec@1 41.406 (33.897)	Prec@5 66.406 (64.119)
Epoch: [11][4880/14090]	Time 0.733 (0.765)	Data 0.001 (0.002)	Loss 2.9952 (2.7803)	Prec@1 28.125 (33.894)	Prec@5 58.594 (64.116)
Epoch: [11][4890/14090]	Time 0.741 (0.765)	Data 0.001 (0.002)	Loss 2.4459 (2.7801)	Prec@1 35.938 (33.894)	Prec@5 72.656 (64.121)
Epoch: [11][4900/14090]	Time 0.869 (0.765)	Data 0.001 (0.002)	Loss 2.7327 (2.7799)	Prec@1 32.812 (33.895)	Prec@5 66.406 (64.125)
Epoch: [11][4910/14090]	Time 0.765 (0.765)	Data 0.001 (0.002)	Loss 2.7732 (2.7797)	Prec@1 37.500 (33.900)	Prec@5 64.062 (64.131)
Epoch: [11][4920/14090]	Time 0.752 (0.765)	Data 0.001 (0.002)	Loss 3.0205 (2.7798)	Prec@1 27.344 (33.901)	Prec@5 60.938 (64.135)
Epoch: [11][4930/14090]	Time 0.744 (0.765)	Data 0.001 (0.002)	Loss 2.9581 (2.7800)	Prec@1 35.938 (33.897)	Prec@5 62.500 (64.131)
Epoch: [11][4940/14090]	Time 0.731 (0.765)	Data 0.001 (0.002)	Loss 2.5738 (2.7797)	Prec@1 35.938 (33.903)	Prec@5 67.188 (64.136)
Epoch: [11][4950/14090]	Time 0.750 (0.765)	Data 0.001 (0.002)	Loss 2.6853 (2.7798)	Prec@1 34.375 (33.899)	Prec@5 67.969 (64.132)
Epoch: [11][4960/14090]	Time 0.725 (0.765)	Data 0.001 (0.002)	Loss 3.0538 (2.7799)	Prec@1 28.906 (33.898)	Prec@5 62.500 (64.129)
Epoch: [11][4970/14090]	Time 0.863 (0.765)	Data 0.002 (0.002)	Loss 2.9395 (2.7800)	Prec@1 29.688 (33.891)	Prec@5 63.281 (64.126)
Epoch: [11][4980/14090]	Time 0.758 (0.765)	Data 0.001 (0.002)	Loss 2.6233 (2.7801)	Prec@1 36.719 (33.895)	Prec@5 68.750 (64.125)
Epoch: [11][4990/14090]	Time 0.744 (0.765)	Data 0.001 (0.002)	Loss 2.8502 (2.7801)	Prec@1 32.031 (33.893)	Prec@5 63.281 (64.126)
Epoch: [11][5000/14090]	Time 0.778 (0.765)	Data 0.001 (0.002)	Loss 2.8123 (2.7800)	Prec@1 29.688 (33.891)	Prec@5 60.938 (64.127)
Epoch: [11][5010/14090]	Time 0.727 (0.765)	Data 0.001 (0.002)	Loss 2.8100 (2.7800)	Prec@1 28.906 (33.888)	Prec@5 65.625 (64.127)
Epoch: [11][5020/14090]	Time 0.752 (0.765)	Data 0.001 (0.002)	Loss 2.6433 (2.7799)	Prec@1 34.375 (33.894)	Prec@5 67.969 (64.132)
Epoch: [11][5030/14090]	Time 0.727 (0.765)	Data 0.001 (0.002)	Loss 3.0364 (2.7798)	Prec@1 27.344 (33.896)	Prec@5 55.469 (64.132)
Epoch: [11][5040/14090]	Time 0.862 (0.765)	Data 0.001 (0.002)	Loss 2.7598 (2.7797)	Prec@1 32.812 (33.894)	Prec@5 66.406 (64.135)
Epoch: [11][5050/14090]	Time 0.721 (0.765)	Data 0.001 (0.002)	Loss 3.0577 (2.7799)	Prec@1 29.688 (33.892)	Prec@5 56.250 (64.132)
Epoch: [11][5060/14090]	Time 0.740 (0.765)	Data 0.001 (0.002)	Loss 2.7274 (2.7799)	Prec@1 31.250 (33.890)	Prec@5 68.750 (64.133)
Epoch: [11][5070/14090]	Time 0.724 (0.765)	Data 0.001 (0.002)	Loss 2.5601 (2.7798)	Prec@1 39.844 (33.890)	Prec@5 66.406 (64.133)
Epoch: [11][5080/14090]	Time 0.735 (0.765)	Data 0.001 (0.002)	Loss 3.1857 (2.7799)	Prec@1 32.812 (33.889)	Prec@5 57.812 (64.134)
Epoch: [11][5090/14090]	Time 0.739 (0.765)	Data 0.001 (0.002)	Loss 2.5084 (2.7798)	Prec@1 39.062 (33.893)	Prec@5 68.750 (64.139)
Epoch: [11][5100/14090]	Time 0.734 (0.765)	Data 0.001 (0.002)	Loss 2.4940 (2.7797)	Prec@1 37.500 (33.895)	Prec@5 72.656 (64.145)
Epoch: [11][5110/14090]	Time 0.849 (0.765)	Data 0.001 (0.002)	Loss 2.7995 (2.7796)	Prec@1 33.594 (33.898)	Prec@5 62.500 (64.148)
Epoch: [11][5120/14090]	Time 0.723 (0.765)	Data 0.001 (0.002)	Loss 2.6745 (2.7797)	Prec@1 34.375 (33.893)	Prec@5 68.750 (64.151)
Epoch: [11][5130/14090]	Time 0.738 (0.765)	Data 0.001 (0.002)	Loss 2.7276 (2.7798)	Prec@1 34.375 (33.891)	Prec@5 64.062 (64.145)
Epoch: [11][5140/14090]	Time 0.724 (0.765)	Data 0.001 (0.002)	Loss 2.7309 (2.7800)	Prec@1 28.906 (33.887)	Prec@5 66.406 (64.142)
Epoch: [11][5150/14090]	Time 0.761 (0.765)	Data 0.001 (0.002)	Loss 2.7958 (2.7799)	Prec@1 28.906 (33.885)	Prec@5 59.375 (64.141)
Epoch: [11][5160/14090]	Time 0.752 (0.765)	Data 0.001 (0.002)	Loss 2.7709 (2.7799)	Prec@1 33.594 (33.883)	Prec@5 61.719 (64.139)
Epoch: [11][5170/14090]	Time 0.774 (0.765)	Data 0.001 (0.002)	Loss 2.7194 (2.7800)	Prec@1 33.594 (33.881)	Prec@5 61.719 (64.136)
Epoch: [11][5180/14090]	Time 0.884 (0.765)	Data 0.001 (0.002)	Loss 2.9444 (2.7799)	Prec@1 32.031 (33.884)	Prec@5 60.938 (64.138)
Epoch: [11][5190/14090]	Time 0.726 (0.765)	Data 0.001 (0.002)	Loss 2.6674 (2.7800)	Prec@1 33.594 (33.884)	Prec@5 70.312 (64.142)
Epoch: [11][5200/14090]	Time 0.738 (0.765)	Data 0.001 (0.002)	Loss 2.8108 (2.7799)	Prec@1 30.469 (33.886)	Prec@5 66.406 (64.141)
Epoch: [11][5210/14090]	Time 0.752 (0.765)	Data 0.001 (0.002)	Loss 2.8013 (2.7799)	Prec@1 35.938 (33.888)	Prec@5 62.500 (64.142)
Epoch: [11][5220/14090]	Time 0.748 (0.765)	Data 0.001 (0.002)	Loss 2.9835 (2.7799)	Prec@1 28.906 (33.889)	Prec@5 63.281 (64.142)
Epoch: [11][5230/14090]	Time 0.748 (0.765)	Data 0.001 (0.002)	Loss 2.9126 (2.7798)	Prec@1 26.562 (33.894)	Prec@5 60.938 (64.144)
Epoch: [11][5240/14090]	Time 0.736 (0.765)	Data 0.001 (0.002)	Loss 2.6686 (2.7798)	Prec@1 28.906 (33.893)	Prec@5 64.844 (64.145)
Epoch: [11][5250/14090]	Time 0.868 (0.765)	Data 0.001 (0.002)	Loss 2.7991 (2.7796)	Prec@1 32.812 (33.897)	Prec@5 66.406 (64.148)
Epoch: [11][5260/14090]	Time 0.728 (0.765)	Data 0.001 (0.002)	Loss 2.5359 (2.7797)	Prec@1 41.406 (33.899)	Prec@5 67.969 (64.148)
Epoch: [11][5270/14090]	Time 0.740 (0.765)	Data 0.001 (0.002)	Loss 2.6355 (2.7796)	Prec@1 35.156 (33.900)	Prec@5 66.406 (64.150)
Epoch: [11][5280/14090]	Time 0.735 (0.765)	Data 0.001 (0.002)	Loss 2.6952 (2.7798)	Prec@1 32.031 (33.895)	Prec@5 64.062 (64.148)
Epoch: [11][5290/14090]	Time 0.725 (0.765)	Data 0.001 (0.002)	Loss 3.0577 (2.7799)	Prec@1 28.906 (33.892)	Prec@5 53.125 (64.143)
Epoch: [11][5300/14090]	Time 0.773 (0.765)	Data 0.001 (0.002)	Loss 2.7719 (2.7799)	Prec@1 33.594 (33.892)	Prec@5 63.281 (64.142)
Epoch: [11][5310/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.5095 (2.7801)	Prec@1 38.281 (33.886)	Prec@5 69.531 (64.137)
Epoch: [11][5320/14090]	Time 0.833 (0.765)	Data 0.001 (0.001)	Loss 2.9283 (2.7803)	Prec@1 33.594 (33.882)	Prec@5 60.938 (64.135)
Epoch: [11][5330/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.6490 (2.7802)	Prec@1 37.500 (33.883)	Prec@5 65.625 (64.134)
Epoch: [11][5340/14090]	Time 0.768 (0.765)	Data 0.001 (0.001)	Loss 2.3389 (2.7802)	Prec@1 39.844 (33.883)	Prec@5 71.094 (64.134)
Epoch: [11][5350/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.6623 (2.7800)	Prec@1 35.938 (33.885)	Prec@5 69.531 (64.136)
Epoch: [11][5360/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.8963 (2.7801)	Prec@1 32.031 (33.885)	Prec@5 57.031 (64.135)
Epoch: [11][5370/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.7497 (2.7800)	Prec@1 32.031 (33.885)	Prec@5 70.312 (64.136)
Epoch: [11][5380/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.8580 (2.7801)	Prec@1 34.375 (33.885)	Prec@5 64.062 (64.136)
Epoch: [11][5390/14090]	Time 0.846 (0.765)	Data 0.001 (0.001)	Loss 2.8090 (2.7800)	Prec@1 35.156 (33.885)	Prec@5 64.844 (64.138)
Epoch: [11][5400/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.8767 (2.7801)	Prec@1 32.812 (33.885)	Prec@5 59.375 (64.135)
Epoch: [11][5410/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 3.0638 (2.7801)	Prec@1 23.438 (33.883)	Prec@5 59.375 (64.134)
Epoch: [11][5420/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.8830 (2.7803)	Prec@1 28.906 (33.877)	Prec@5 60.938 (64.132)
Epoch: [11][5430/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.9884 (2.7803)	Prec@1 31.250 (33.875)	Prec@5 62.500 (64.131)
Epoch: [11][5440/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.7212 (2.7803)	Prec@1 37.500 (33.877)	Prec@5 63.281 (64.130)
Epoch: [11][5450/14090]	Time 0.771 (0.765)	Data 0.001 (0.001)	Loss 3.0423 (2.7803)	Prec@1 23.438 (33.878)	Prec@5 58.594 (64.130)
Epoch: [11][5460/14090]	Time 0.853 (0.765)	Data 0.001 (0.001)	Loss 3.1664 (2.7806)	Prec@1 25.781 (33.873)	Prec@5 53.125 (64.121)
Epoch: [11][5470/14090]	Time 0.770 (0.765)	Data 0.001 (0.001)	Loss 2.8099 (2.7805)	Prec@1 35.938 (33.877)	Prec@5 60.938 (64.124)
Epoch: [11][5480/14090]	Time 0.721 (0.765)	Data 0.002 (0.001)	Loss 3.0079 (2.7806)	Prec@1 32.031 (33.877)	Prec@5 60.156 (64.122)
Epoch: [11][5490/14090]	Time 0.778 (0.765)	Data 0.001 (0.001)	Loss 2.7692 (2.7805)	Prec@1 37.500 (33.880)	Prec@5 58.594 (64.122)
Epoch: [11][5500/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.7002 (2.7805)	Prec@1 35.938 (33.882)	Prec@5 64.844 (64.122)
Epoch: [11][5510/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.7802 (2.7806)	Prec@1 35.156 (33.883)	Prec@5 63.281 (64.121)
Epoch: [11][5520/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.4985 (2.7807)	Prec@1 42.188 (33.881)	Prec@5 68.750 (64.119)
Epoch: [11][5530/14090]	Time 0.885 (0.765)	Data 0.001 (0.001)	Loss 2.6802 (2.7807)	Prec@1 40.625 (33.881)	Prec@5 67.188 (64.120)
Epoch: [11][5540/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.7868 (2.7808)	Prec@1 32.031 (33.880)	Prec@5 61.719 (64.121)
Epoch: [11][5550/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.5660 (2.7806)	Prec@1 36.719 (33.885)	Prec@5 67.969 (64.122)
Epoch: [11][5560/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.9769 (2.7807)	Prec@1 33.594 (33.883)	Prec@5 61.719 (64.122)
Epoch: [11][5570/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 3.1928 (2.7806)	Prec@1 30.469 (33.886)	Prec@5 55.469 (64.123)
Epoch: [11][5580/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.7650 (2.7806)	Prec@1 32.812 (33.887)	Prec@5 60.938 (64.126)
Epoch: [11][5590/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.6995 (2.7806)	Prec@1 34.375 (33.887)	Prec@5 69.531 (64.128)
Epoch: [11][5600/14090]	Time 0.878 (0.765)	Data 0.001 (0.001)	Loss 2.6727 (2.7804)	Prec@1 28.906 (33.889)	Prec@5 64.844 (64.128)
Epoch: [11][5610/14090]	Time 0.720 (0.765)	Data 0.001 (0.001)	Loss 2.7028 (2.7802)	Prec@1 34.375 (33.890)	Prec@5 70.312 (64.132)
Epoch: [11][5620/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.8688 (2.7801)	Prec@1 33.594 (33.891)	Prec@5 62.500 (64.134)
Epoch: [11][5630/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.8059 (2.7802)	Prec@1 32.031 (33.889)	Prec@5 60.938 (64.132)
Epoch: [11][5640/14090]	Time 0.772 (0.765)	Data 0.001 (0.001)	Loss 2.6580 (2.7802)	Prec@1 36.719 (33.887)	Prec@5 68.750 (64.131)
Epoch: [11][5650/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 3.0190 (2.7803)	Prec@1 28.906 (33.885)	Prec@5 61.719 (64.129)
Epoch: [11][5660/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.5588 (2.7805)	Prec@1 35.938 (33.882)	Prec@5 65.625 (64.124)
Epoch: [11][5670/14090]	Time 0.878 (0.765)	Data 0.001 (0.001)	Loss 3.2554 (2.7807)	Prec@1 27.344 (33.879)	Prec@5 52.344 (64.120)
Epoch: [11][5680/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 2.8408 (2.7808)	Prec@1 32.031 (33.875)	Prec@5 65.625 (64.118)
Epoch: [11][5690/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.7660 (2.7809)	Prec@1 32.031 (33.873)	Prec@5 64.062 (64.115)
Epoch: [11][5700/14090]	Time 0.782 (0.765)	Data 0.001 (0.001)	Loss 2.7286 (2.7809)	Prec@1 35.938 (33.873)	Prec@5 65.625 (64.116)
Epoch: [11][5710/14090]	Time 0.770 (0.765)	Data 0.001 (0.001)	Loss 2.7596 (2.7808)	Prec@1 35.156 (33.875)	Prec@5 67.188 (64.117)
Epoch: [11][5720/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.7912 (2.7809)	Prec@1 35.938 (33.878)	Prec@5 60.156 (64.113)
Epoch: [11][5730/14090]	Time 0.769 (0.765)	Data 0.001 (0.001)	Loss 3.0329 (2.7809)	Prec@1 29.688 (33.879)	Prec@5 57.031 (64.112)
Epoch: [11][5740/14090]	Time 0.902 (0.765)	Data 0.001 (0.001)	Loss 2.6929 (2.7810)	Prec@1 34.375 (33.877)	Prec@5 64.844 (64.109)
Epoch: [11][5750/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.6610 (2.7810)	Prec@1 34.375 (33.876)	Prec@5 71.094 (64.110)
Epoch: [11][5760/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.5182 (2.7808)	Prec@1 35.156 (33.876)	Prec@5 67.969 (64.112)
Epoch: [11][5770/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.7800 (2.7808)	Prec@1 33.594 (33.878)	Prec@5 65.625 (64.113)
Epoch: [11][5780/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.7686 (2.7808)	Prec@1 38.281 (33.879)	Prec@5 64.062 (64.115)
Epoch: [11][5790/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.5579 (2.7807)	Prec@1 34.375 (33.878)	Prec@5 66.406 (64.113)
Epoch: [11][5800/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.8498 (2.7805)	Prec@1 36.719 (33.885)	Prec@5 61.719 (64.119)
Epoch: [11][5810/14090]	Time 0.852 (0.765)	Data 0.001 (0.001)	Loss 2.8943 (2.7806)	Prec@1 28.125 (33.883)	Prec@5 62.500 (64.117)
Epoch: [11][5820/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.7627 (2.7805)	Prec@1 35.156 (33.884)	Prec@5 63.281 (64.118)
Epoch: [11][5830/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.8829 (2.7803)	Prec@1 32.812 (33.884)	Prec@5 62.500 (64.119)
Epoch: [11][5840/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 3.0632 (2.7804)	Prec@1 32.812 (33.886)	Prec@5 58.594 (64.118)
Epoch: [11][5850/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.8964 (2.7803)	Prec@1 28.906 (33.887)	Prec@5 61.719 (64.121)
Epoch: [11][5860/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.6968 (2.7806)	Prec@1 39.844 (33.882)	Prec@5 65.625 (64.117)
Epoch: [11][5870/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.6178 (2.7804)	Prec@1 37.500 (33.882)	Prec@5 61.719 (64.116)
Epoch: [11][5880/14090]	Time 0.874 (0.765)	Data 0.001 (0.001)	Loss 2.8664 (2.7805)	Prec@1 29.688 (33.881)	Prec@5 65.625 (64.116)
Epoch: [11][5890/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.7632 (2.7804)	Prec@1 37.500 (33.884)	Prec@5 65.625 (64.118)
Epoch: [11][5900/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.7654 (2.7804)	Prec@1 33.594 (33.884)	Prec@5 66.406 (64.119)
Epoch: [11][5910/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.7730 (2.7803)	Prec@1 29.688 (33.888)	Prec@5 61.719 (64.121)
Epoch: [11][5920/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.9040 (2.7802)	Prec@1 31.250 (33.887)	Prec@5 61.719 (64.124)
Epoch: [11][5930/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.6290 (2.7803)	Prec@1 42.969 (33.886)	Prec@5 67.969 (64.124)
Epoch: [11][5940/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.7507 (2.7801)	Prec@1 35.156 (33.892)	Prec@5 59.375 (64.127)
Epoch: [11][5950/14090]	Time 0.887 (0.765)	Data 0.001 (0.001)	Loss 2.6966 (2.7800)	Prec@1 35.156 (33.896)	Prec@5 65.625 (64.129)
Epoch: [11][5960/14090]	Time 0.770 (0.765)	Data 0.001 (0.001)	Loss 2.7958 (2.7800)	Prec@1 36.719 (33.898)	Prec@5 62.500 (64.129)
Epoch: [11][5970/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.6547 (2.7801)	Prec@1 37.500 (33.895)	Prec@5 65.625 (64.126)
Epoch: [11][5980/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 3.0301 (2.7803)	Prec@1 28.906 (33.894)	Prec@5 57.031 (64.121)
Epoch: [11][5990/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.6144 (2.7804)	Prec@1 35.938 (33.894)	Prec@5 66.406 (64.119)
Epoch: [11][6000/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 3.0753 (2.7803)	Prec@1 23.438 (33.892)	Prec@5 57.031 (64.119)
Epoch: [11][6010/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.8964 (2.7802)	Prec@1 29.688 (33.894)	Prec@5 61.719 (64.120)
Epoch: [11][6020/14090]	Time 0.856 (0.765)	Data 0.001 (0.001)	Loss 2.8214 (2.7804)	Prec@1 32.031 (33.890)	Prec@5 67.188 (64.119)
Epoch: [11][6030/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 2.5681 (2.7803)	Prec@1 42.188 (33.893)	Prec@5 67.188 (64.119)
Epoch: [11][6040/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 3.0084 (2.7804)	Prec@1 32.031 (33.889)	Prec@5 56.250 (64.117)
Epoch: [11][6050/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 2.6463 (2.7804)	Prec@1 35.156 (33.888)	Prec@5 67.188 (64.119)
Epoch: [11][6060/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.6423 (2.7803)	Prec@1 30.469 (33.889)	Prec@5 67.188 (64.122)
Epoch: [11][6070/14090]	Time 0.720 (0.765)	Data 0.001 (0.001)	Loss 2.6282 (2.7804)	Prec@1 33.594 (33.886)	Prec@5 67.188 (64.122)
Epoch: [11][6080/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.8149 (2.7806)	Prec@1 33.594 (33.882)	Prec@5 67.969 (64.119)
Epoch: [11][6090/14090]	Time 0.840 (0.765)	Data 0.001 (0.001)	Loss 2.7107 (2.7807)	Prec@1 34.375 (33.881)	Prec@5 67.188 (64.119)
Epoch: [11][6100/14090]	Time 0.773 (0.765)	Data 0.001 (0.001)	Loss 2.8771 (2.7807)	Prec@1 29.688 (33.880)	Prec@5 68.750 (64.119)
Epoch: [11][6110/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.7819 (2.7807)	Prec@1 34.375 (33.880)	Prec@5 65.625 (64.118)
Epoch: [11][6120/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.8370 (2.7807)	Prec@1 34.375 (33.882)	Prec@5 64.062 (64.115)
Epoch: [11][6130/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.6747 (2.7807)	Prec@1 42.188 (33.884)	Prec@5 67.188 (64.116)
Epoch: [11][6140/14090]	Time 0.773 (0.765)	Data 0.001 (0.001)	Loss 2.8760 (2.7808)	Prec@1 35.938 (33.881)	Prec@5 64.844 (64.112)
Epoch: [11][6150/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.9598 (2.7807)	Prec@1 30.469 (33.880)	Prec@5 64.844 (64.115)
Epoch: [11][6160/14090]	Time 0.821 (0.765)	Data 0.001 (0.001)	Loss 2.8108 (2.7807)	Prec@1 29.688 (33.879)	Prec@5 60.156 (64.118)
Epoch: [11][6170/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 3.0395 (2.7808)	Prec@1 29.688 (33.878)	Prec@5 60.156 (64.115)
Epoch: [11][6180/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.6790 (2.7806)	Prec@1 36.719 (33.880)	Prec@5 68.750 (64.117)
Epoch: [11][6190/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.9766 (2.7807)	Prec@1 29.688 (33.875)	Prec@5 56.250 (64.114)
Epoch: [11][6200/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.7967 (2.7809)	Prec@1 29.688 (33.872)	Prec@5 62.500 (64.110)
Epoch: [11][6210/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 3.0179 (2.7810)	Prec@1 34.375 (33.870)	Prec@5 60.938 (64.109)
Epoch: [11][6220/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.9411 (2.7810)	Prec@1 30.469 (33.871)	Prec@5 62.500 (64.111)
Epoch: [11][6230/14090]	Time 0.833 (0.765)	Data 0.001 (0.001)	Loss 2.8591 (2.7810)	Prec@1 37.500 (33.871)	Prec@5 63.281 (64.112)
Epoch: [11][6240/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.8852 (2.7811)	Prec@1 33.594 (33.873)	Prec@5 62.500 (64.111)
Epoch: [11][6250/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.7369 (2.7810)	Prec@1 30.469 (33.872)	Prec@5 62.500 (64.110)
Epoch: [11][6260/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 2.9967 (2.7811)	Prec@1 32.031 (33.873)	Prec@5 63.281 (64.110)
Epoch: [11][6270/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.8709 (2.7811)	Prec@1 31.250 (33.873)	Prec@5 58.594 (64.112)
Epoch: [11][6280/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.6917 (2.7810)	Prec@1 31.250 (33.874)	Prec@5 67.969 (64.112)
Epoch: [11][6290/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.5608 (2.7810)	Prec@1 39.844 (33.872)	Prec@5 67.969 (64.111)
Epoch: [11][6300/14090]	Time 0.876 (0.765)	Data 0.001 (0.001)	Loss 2.7669 (2.7809)	Prec@1 36.719 (33.874)	Prec@5 61.719 (64.110)
Epoch: [11][6310/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.8740 (2.7810)	Prec@1 25.781 (33.871)	Prec@5 60.938 (64.110)
Epoch: [11][6320/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.6408 (2.7809)	Prec@1 36.719 (33.872)	Prec@5 74.219 (64.113)
Epoch: [11][6330/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.7442 (2.7809)	Prec@1 30.469 (33.873)	Prec@5 67.188 (64.113)
Epoch: [11][6340/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.7633 (2.7808)	Prec@1 36.719 (33.871)	Prec@5 67.188 (64.114)
Epoch: [11][6350/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.4818 (2.7808)	Prec@1 39.062 (33.873)	Prec@5 66.406 (64.113)
Epoch: [11][6360/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.8091 (2.7808)	Prec@1 34.375 (33.874)	Prec@5 67.188 (64.115)
Epoch: [11][6370/14090]	Time 0.882 (0.765)	Data 0.001 (0.001)	Loss 2.7113 (2.7809)	Prec@1 32.031 (33.875)	Prec@5 64.844 (64.115)
Epoch: [11][6380/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.6500 (2.7809)	Prec@1 33.594 (33.873)	Prec@5 64.844 (64.115)
Epoch: [11][6390/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.9211 (2.7810)	Prec@1 32.812 (33.869)	Prec@5 67.188 (64.116)
Epoch: [11][6400/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.8697 (2.7811)	Prec@1 28.906 (33.867)	Prec@5 61.719 (64.115)
Epoch: [11][6410/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.7302 (2.7812)	Prec@1 31.250 (33.865)	Prec@5 65.625 (64.113)
Epoch: [11][6420/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 3.0443 (2.7812)	Prec@1 28.125 (33.864)	Prec@5 57.812 (64.112)
Epoch: [11][6430/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.5816 (2.7812)	Prec@1 33.594 (33.866)	Prec@5 66.406 (64.113)
Epoch: [11][6440/14090]	Time 0.851 (0.765)	Data 0.001 (0.001)	Loss 2.7562 (2.7813)	Prec@1 35.938 (33.865)	Prec@5 62.500 (64.110)
Epoch: [11][6450/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.7795 (2.7811)	Prec@1 33.594 (33.867)	Prec@5 63.281 (64.112)
Epoch: [11][6460/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.8933 (2.7812)	Prec@1 29.688 (33.868)	Prec@5 62.500 (64.111)
Epoch: [11][6470/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.6372 (2.7814)	Prec@1 36.719 (33.864)	Prec@5 66.406 (64.107)
Epoch: [11][6480/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.7285 (2.7814)	Prec@1 31.250 (33.867)	Prec@5 64.844 (64.107)
Epoch: [11][6490/14090]	Time 0.773 (0.765)	Data 0.001 (0.001)	Loss 2.8086 (2.7814)	Prec@1 34.375 (33.869)	Prec@5 67.188 (64.108)
Epoch: [11][6500/14090]	Time 0.779 (0.765)	Data 0.001 (0.001)	Loss 3.0322 (2.7814)	Prec@1 33.594 (33.869)	Prec@5 61.719 (64.110)
Epoch: [11][6510/14090]	Time 0.851 (0.765)	Data 0.001 (0.001)	Loss 2.8675 (2.7814)	Prec@1 32.031 (33.867)	Prec@5 67.188 (64.110)
Epoch: [11][6520/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.5835 (2.7815)	Prec@1 35.156 (33.865)	Prec@5 75.000 (64.109)
Epoch: [11][6530/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 3.2126 (2.7818)	Prec@1 29.688 (33.862)	Prec@5 58.594 (64.105)
Epoch: [11][6540/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.6323 (2.7817)	Prec@1 40.625 (33.863)	Prec@5 68.750 (64.108)
Epoch: [11][6550/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.5209 (2.7815)	Prec@1 33.594 (33.866)	Prec@5 68.750 (64.112)
Epoch: [11][6560/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.9643 (2.7814)	Prec@1 29.688 (33.865)	Prec@5 57.031 (64.113)
Epoch: [11][6570/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 3.0380 (2.7815)	Prec@1 32.031 (33.862)	Prec@5 57.812 (64.111)
Epoch: [11][6580/14090]	Time 0.864 (0.765)	Data 0.001 (0.001)	Loss 2.7916 (2.7814)	Prec@1 30.469 (33.863)	Prec@5 67.969 (64.113)
Epoch: [11][6590/14090]	Time 0.722 (0.765)	Data 0.001 (0.001)	Loss 3.0189 (2.7814)	Prec@1 31.250 (33.864)	Prec@5 59.375 (64.112)
Epoch: [11][6600/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.7857 (2.7814)	Prec@1 27.344 (33.865)	Prec@5 62.500 (64.111)
Epoch: [11][6610/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 2.9778 (2.7815)	Prec@1 32.031 (33.863)	Prec@5 62.500 (64.110)
Epoch: [11][6620/14090]	Time 0.773 (0.765)	Data 0.001 (0.001)	Loss 3.0528 (2.7815)	Prec@1 25.781 (33.863)	Prec@5 57.812 (64.110)
Epoch: [11][6630/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 3.0030 (2.7816)	Prec@1 33.594 (33.861)	Prec@5 58.594 (64.107)
Epoch: [11][6640/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.9240 (2.7816)	Prec@1 32.812 (33.859)	Prec@5 60.938 (64.106)
Epoch: [11][6650/14090]	Time 0.824 (0.765)	Data 0.001 (0.001)	Loss 2.8373 (2.7816)	Prec@1 30.469 (33.859)	Prec@5 61.719 (64.106)
Epoch: [11][6660/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.6470 (2.7815)	Prec@1 39.062 (33.860)	Prec@5 66.406 (64.109)
Epoch: [11][6670/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.7933 (2.7815)	Prec@1 36.719 (33.864)	Prec@5 67.969 (64.110)
Epoch: [11][6680/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.8598 (2.7814)	Prec@1 27.344 (33.865)	Prec@5 64.844 (64.110)
Epoch: [11][6690/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.7293 (2.7813)	Prec@1 32.812 (33.865)	Prec@5 65.625 (64.114)
Epoch: [11][6700/14090]	Time 0.780 (0.765)	Data 0.001 (0.001)	Loss 2.7684 (2.7811)	Prec@1 28.906 (33.865)	Prec@5 66.406 (64.118)
Epoch: [11][6710/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 2.8439 (2.7811)	Prec@1 33.594 (33.865)	Prec@5 59.375 (64.118)
Epoch: [11][6720/14090]	Time 0.893 (0.765)	Data 0.001 (0.001)	Loss 2.6784 (2.7810)	Prec@1 32.031 (33.865)	Prec@5 66.406 (64.121)
Epoch: [11][6730/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.7685 (2.7810)	Prec@1 30.469 (33.865)	Prec@5 66.406 (64.124)
Epoch: [11][6740/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 2.7012 (2.7810)	Prec@1 29.688 (33.861)	Prec@5 60.156 (64.123)
Epoch: [11][6750/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.9161 (2.7809)	Prec@1 30.469 (33.862)	Prec@5 64.062 (64.124)
Epoch: [11][6760/14090]	Time 0.774 (0.765)	Data 0.002 (0.001)	Loss 2.9720 (2.7809)	Prec@1 31.250 (33.864)	Prec@5 57.031 (64.123)
Epoch: [11][6770/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 3.0824 (2.7811)	Prec@1 29.688 (33.861)	Prec@5 60.156 (64.119)
Epoch: [11][6780/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.9149 (2.7811)	Prec@1 30.469 (33.862)	Prec@5 60.938 (64.118)
Epoch: [11][6790/14090]	Time 0.888 (0.765)	Data 0.001 (0.001)	Loss 3.1657 (2.7811)	Prec@1 27.344 (33.862)	Prec@5 57.812 (64.119)
Epoch: [11][6800/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.8406 (2.7812)	Prec@1 34.375 (33.862)	Prec@5 63.281 (64.119)
Epoch: [11][6810/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.5350 (2.7810)	Prec@1 35.938 (33.866)	Prec@5 70.312 (64.125)
Epoch: [11][6820/14090]	Time 0.793 (0.765)	Data 0.001 (0.001)	Loss 2.6798 (2.7810)	Prec@1 37.500 (33.866)	Prec@5 64.844 (64.126)
Epoch: [11][6830/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 2.7105 (2.7811)	Prec@1 33.594 (33.867)	Prec@5 66.406 (64.126)
Epoch: [11][6840/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.7269 (2.7810)	Prec@1 31.250 (33.867)	Prec@5 68.750 (64.129)
Epoch: [11][6850/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.8017 (2.7812)	Prec@1 35.938 (33.866)	Prec@5 65.625 (64.125)
Epoch: [11][6860/14090]	Time 0.865 (0.765)	Data 0.001 (0.001)	Loss 2.9166 (2.7812)	Prec@1 35.156 (33.868)	Prec@5 64.062 (64.126)
Epoch: [11][6870/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.7138 (2.7810)	Prec@1 35.938 (33.871)	Prec@5 64.844 (64.129)
Epoch: [11][6880/14090]	Time 0.777 (0.765)	Data 0.001 (0.001)	Loss 2.7733 (2.7809)	Prec@1 31.250 (33.871)	Prec@5 65.625 (64.131)
Epoch: [11][6890/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.7819 (2.7810)	Prec@1 32.812 (33.868)	Prec@5 68.750 (64.132)
Epoch: [11][6900/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.9407 (2.7809)	Prec@1 30.469 (33.867)	Prec@5 58.594 (64.131)
Epoch: [11][6910/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.4890 (2.7809)	Prec@1 37.500 (33.866)	Prec@5 71.875 (64.133)
Epoch: [11][6920/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.7393 (2.7809)	Prec@1 33.594 (33.866)	Prec@5 70.312 (64.134)
Epoch: [11][6930/14090]	Time 0.850 (0.765)	Data 0.001 (0.001)	Loss 2.7962 (2.7811)	Prec@1 32.031 (33.865)	Prec@5 66.406 (64.130)
Epoch: [11][6940/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.6286 (2.7810)	Prec@1 39.062 (33.865)	Prec@5 66.406 (64.134)
Epoch: [11][6950/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.9672 (2.7810)	Prec@1 29.688 (33.865)	Prec@5 61.719 (64.134)
Epoch: [11][6960/14090]	Time 0.782 (0.765)	Data 0.001 (0.001)	Loss 2.7372 (2.7809)	Prec@1 39.062 (33.865)	Prec@5 64.844 (64.135)
Epoch: [11][6970/14090]	Time 0.781 (0.765)	Data 0.001 (0.001)	Loss 3.0903 (2.7810)	Prec@1 29.688 (33.865)	Prec@5 62.500 (64.135)
Epoch: [11][6980/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.6530 (2.7810)	Prec@1 38.281 (33.866)	Prec@5 66.406 (64.135)
Epoch: [11][6990/14090]	Time 0.773 (0.765)	Data 0.001 (0.001)	Loss 2.6810 (2.7810)	Prec@1 29.688 (33.862)	Prec@5 65.625 (64.135)
Epoch: [11][7000/14090]	Time 0.851 (0.765)	Data 0.001 (0.001)	Loss 3.2077 (2.7811)	Prec@1 26.562 (33.861)	Prec@5 58.594 (64.134)
Epoch: [11][7010/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.7103 (2.7811)	Prec@1 31.250 (33.861)	Prec@5 60.156 (64.132)
Epoch: [11][7020/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.3787 (2.7812)	Prec@1 37.500 (33.859)	Prec@5 74.219 (64.131)
Epoch: [11][7030/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.6660 (2.7813)	Prec@1 33.594 (33.857)	Prec@5 65.625 (64.129)
Epoch: [11][7040/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.5749 (2.7814)	Prec@1 40.625 (33.858)	Prec@5 65.625 (64.126)
Epoch: [11][7050/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.6857 (2.7813)	Prec@1 38.281 (33.861)	Prec@5 60.156 (64.124)
Epoch: [11][7060/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.5621 (2.7813)	Prec@1 39.062 (33.861)	Prec@5 67.969 (64.125)
Epoch: [11][7070/14090]	Time 0.837 (0.765)	Data 0.001 (0.001)	Loss 3.0106 (2.7814)	Prec@1 28.125 (33.858)	Prec@5 56.250 (64.122)
Epoch: [11][7080/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.6050 (2.7814)	Prec@1 36.719 (33.856)	Prec@5 67.969 (64.120)
Epoch: [11][7090/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.7635 (2.7813)	Prec@1 28.906 (33.859)	Prec@5 67.188 (64.122)
Epoch: [11][7100/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.6987 (2.7814)	Prec@1 31.250 (33.859)	Prec@5 63.281 (64.122)
Epoch: [11][7110/14090]	Time 0.783 (0.765)	Data 0.001 (0.001)	Loss 2.7044 (2.7815)	Prec@1 35.156 (33.858)	Prec@5 63.281 (64.118)
Epoch: [11][7120/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.6992 (2.7815)	Prec@1 37.500 (33.860)	Prec@5 67.188 (64.120)
Epoch: [11][7130/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.7177 (2.7814)	Prec@1 33.594 (33.860)	Prec@5 69.531 (64.122)
Epoch: [11][7140/14090]	Time 0.876 (0.765)	Data 0.001 (0.001)	Loss 2.5591 (2.7813)	Prec@1 39.062 (33.862)	Prec@5 68.750 (64.122)
Epoch: [11][7150/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.6916 (2.7814)	Prec@1 33.594 (33.860)	Prec@5 65.625 (64.121)
Epoch: [11][7160/14090]	Time 0.753 (0.765)	Data 0.002 (0.001)	Loss 2.2309 (2.7813)	Prec@1 47.656 (33.862)	Prec@5 75.781 (64.121)
Epoch: [11][7170/14090]	Time 0.784 (0.765)	Data 0.001 (0.001)	Loss 2.9868 (2.7813)	Prec@1 29.688 (33.860)	Prec@5 64.062 (64.120)
Epoch: [11][7180/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.6160 (2.7812)	Prec@1 33.594 (33.861)	Prec@5 65.625 (64.123)
Epoch: [11][7190/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.7277 (2.7813)	Prec@1 32.031 (33.859)	Prec@5 64.844 (64.121)
Epoch: [11][7200/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 2.8171 (2.7814)	Prec@1 29.688 (33.859)	Prec@5 61.719 (64.119)
Epoch: [11][7210/14090]	Time 0.858 (0.765)	Data 0.001 (0.001)	Loss 2.7686 (2.7813)	Prec@1 28.906 (33.857)	Prec@5 66.406 (64.122)
Epoch: [11][7220/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 3.0782 (2.7814)	Prec@1 28.125 (33.855)	Prec@5 54.688 (64.121)
Epoch: [11][7230/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.8411 (2.7813)	Prec@1 30.469 (33.858)	Prec@5 59.375 (64.122)
Epoch: [11][7240/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.6300 (2.7812)	Prec@1 36.719 (33.860)	Prec@5 64.062 (64.126)
Epoch: [11][7250/14090]	Time 0.789 (0.765)	Data 0.001 (0.001)	Loss 2.7135 (2.7812)	Prec@1 32.812 (33.860)	Prec@5 64.844 (64.126)
Epoch: [11][7260/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 3.0139 (2.7813)	Prec@1 32.031 (33.860)	Prec@5 59.375 (64.125)
Epoch: [11][7270/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.6696 (2.7813)	Prec@1 33.594 (33.859)	Prec@5 66.406 (64.124)
Epoch: [11][7280/14090]	Time 0.840 (0.765)	Data 0.001 (0.001)	Loss 2.8290 (2.7813)	Prec@1 33.594 (33.860)	Prec@5 64.844 (64.123)
Epoch: [11][7290/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.8614 (2.7815)	Prec@1 26.562 (33.856)	Prec@5 58.594 (64.118)
Epoch: [11][7300/14090]	Time 0.779 (0.765)	Data 0.001 (0.001)	Loss 2.5620 (2.7815)	Prec@1 38.281 (33.857)	Prec@5 66.406 (64.117)
Epoch: [11][7310/14090]	Time 0.776 (0.765)	Data 0.001 (0.001)	Loss 2.8292 (2.7815)	Prec@1 42.188 (33.859)	Prec@5 64.844 (64.117)
Epoch: [11][7320/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.5156 (2.7814)	Prec@1 37.500 (33.860)	Prec@5 68.750 (64.120)
Epoch: [11][7330/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.4397 (2.7813)	Prec@1 39.062 (33.860)	Prec@5 71.875 (64.121)
Epoch: [11][7340/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.8355 (2.7813)	Prec@1 35.938 (33.861)	Prec@5 60.938 (64.120)
Epoch: [11][7350/14090]	Time 0.866 (0.765)	Data 0.001 (0.001)	Loss 3.0624 (2.7813)	Prec@1 25.781 (33.863)	Prec@5 61.719 (64.121)
Epoch: [11][7360/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.7162 (2.7814)	Prec@1 36.719 (33.861)	Prec@5 67.188 (64.120)
Epoch: [11][7370/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.6459 (2.7813)	Prec@1 35.156 (33.864)	Prec@5 68.750 (64.122)
Epoch: [11][7380/14090]	Time 0.722 (0.765)	Data 0.001 (0.001)	Loss 2.9869 (2.7813)	Prec@1 30.469 (33.863)	Prec@5 59.375 (64.121)
Epoch: [11][7390/14090]	Time 0.784 (0.765)	Data 0.001 (0.001)	Loss 2.7229 (2.7812)	Prec@1 35.156 (33.863)	Prec@5 66.406 (64.128)
Epoch: [11][7400/14090]	Time 0.773 (0.765)	Data 0.001 (0.001)	Loss 2.6959 (2.7812)	Prec@1 35.938 (33.862)	Prec@5 64.062 (64.126)
Epoch: [11][7410/14090]	Time 0.768 (0.765)	Data 0.001 (0.001)	Loss 2.5589 (2.7812)	Prec@1 40.625 (33.862)	Prec@5 66.406 (64.128)
Epoch: [11][7420/14090]	Time 0.911 (0.765)	Data 0.001 (0.001)	Loss 2.6076 (2.7811)	Prec@1 35.938 (33.863)	Prec@5 71.094 (64.129)
Epoch: [11][7430/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.9130 (2.7811)	Prec@1 32.031 (33.862)	Prec@5 64.062 (64.131)
Epoch: [11][7440/14090]	Time 0.774 (0.765)	Data 0.001 (0.001)	Loss 3.1622 (2.7811)	Prec@1 25.000 (33.860)	Prec@5 55.469 (64.130)
Epoch: [11][7450/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.8149 (2.7810)	Prec@1 36.719 (33.861)	Prec@5 63.281 (64.129)
Epoch: [11][7460/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.8205 (2.7810)	Prec@1 33.594 (33.862)	Prec@5 65.625 (64.130)
Epoch: [11][7470/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.8502 (2.7810)	Prec@1 29.688 (33.860)	Prec@5 60.156 (64.130)
Epoch: [11][7480/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.8734 (2.7810)	Prec@1 34.375 (33.860)	Prec@5 64.062 (64.132)
Epoch: [11][7490/14090]	Time 0.827 (0.765)	Data 0.001 (0.001)	Loss 2.9220 (2.7812)	Prec@1 30.469 (33.857)	Prec@5 60.938 (64.130)
Epoch: [11][7500/14090]	Time 0.790 (0.765)	Data 0.001 (0.001)	Loss 2.6942 (2.7812)	Prec@1 40.625 (33.859)	Prec@5 64.844 (64.129)
Epoch: [11][7510/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.7717 (2.7812)	Prec@1 35.938 (33.858)	Prec@5 63.281 (64.129)
Epoch: [11][7520/14090]	Time 0.775 (0.765)	Data 0.001 (0.001)	Loss 2.5775 (2.7812)	Prec@1 38.281 (33.859)	Prec@5 67.969 (64.130)
Epoch: [11][7530/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.3631 (2.7811)	Prec@1 41.406 (33.861)	Prec@5 71.875 (64.131)
Epoch: [11][7540/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.6832 (2.7811)	Prec@1 34.375 (33.860)	Prec@5 60.938 (64.127)
Epoch: [11][7550/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.7820 (2.7811)	Prec@1 34.375 (33.863)	Prec@5 65.625 (64.127)
Epoch: [11][7560/14090]	Time 0.911 (0.765)	Data 0.001 (0.001)	Loss 2.7455 (2.7809)	Prec@1 31.250 (33.864)	Prec@5 64.844 (64.127)
Epoch: [11][7570/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.7414 (2.7810)	Prec@1 31.250 (33.862)	Prec@5 61.719 (64.128)
Epoch: [11][7580/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.9636 (2.7810)	Prec@1 25.000 (33.862)	Prec@5 56.250 (64.127)
Epoch: [11][7590/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.7815 (2.7811)	Prec@1 38.281 (33.863)	Prec@5 64.844 (64.126)
Epoch: [11][7600/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.9128 (2.7810)	Prec@1 30.469 (33.866)	Prec@5 66.406 (64.126)
Epoch: [11][7610/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.5430 (2.7810)	Prec@1 41.406 (33.866)	Prec@5 69.531 (64.127)
Epoch: [11][7620/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.7264 (2.7810)	Prec@1 39.062 (33.868)	Prec@5 63.281 (64.127)
Epoch: [11][7630/14090]	Time 0.882 (0.765)	Data 0.001 (0.001)	Loss 2.9598 (2.7810)	Prec@1 32.812 (33.867)	Prec@5 67.188 (64.129)
Epoch: [11][7640/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 2.4716 (2.7808)	Prec@1 42.969 (33.867)	Prec@5 71.875 (64.131)
Epoch: [11][7650/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 3.0792 (2.7809)	Prec@1 27.344 (33.868)	Prec@5 60.938 (64.130)
Epoch: [11][7660/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 3.0054 (2.7808)	Prec@1 29.688 (33.868)	Prec@5 58.594 (64.131)
Epoch: [11][7670/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.6234 (2.7808)	Prec@1 37.500 (33.867)	Prec@5 67.969 (64.133)
Epoch: [11][7680/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.5443 (2.7808)	Prec@1 38.281 (33.865)	Prec@5 64.844 (64.133)
Epoch: [11][7690/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.7385 (2.7808)	Prec@1 35.938 (33.864)	Prec@5 64.844 (64.132)
Epoch: [11][7700/14090]	Time 0.863 (0.765)	Data 0.001 (0.001)	Loss 2.8914 (2.7810)	Prec@1 32.031 (33.859)	Prec@5 63.281 (64.129)
Epoch: [11][7710/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.9714 (2.7810)	Prec@1 31.250 (33.858)	Prec@5 61.719 (64.128)
Epoch: [11][7720/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.9869 (2.7810)	Prec@1 33.594 (33.859)	Prec@5 60.156 (64.129)
Epoch: [11][7730/14090]	Time 0.784 (0.765)	Data 0.001 (0.001)	Loss 2.8279 (2.7810)	Prec@1 32.031 (33.860)	Prec@5 64.062 (64.129)
Epoch: [11][7740/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.7903 (2.7809)	Prec@1 39.062 (33.864)	Prec@5 64.844 (64.129)
Epoch: [11][7750/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 2.9141 (2.7809)	Prec@1 32.031 (33.865)	Prec@5 59.375 (64.128)
Epoch: [11][7760/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.4034 (2.7808)	Prec@1 42.969 (33.866)	Prec@5 73.438 (64.129)
Epoch: [11][7770/14090]	Time 0.899 (0.765)	Data 0.001 (0.001)	Loss 2.8679 (2.7808)	Prec@1 31.250 (33.869)	Prec@5 64.844 (64.130)
Epoch: [11][7780/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.6401 (2.7808)	Prec@1 35.156 (33.871)	Prec@5 66.406 (64.131)
Epoch: [11][7790/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.4928 (2.7807)	Prec@1 38.281 (33.873)	Prec@5 69.531 (64.134)
Epoch: [11][7800/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 3.0003 (2.7808)	Prec@1 31.250 (33.868)	Prec@5 64.844 (64.132)
Epoch: [11][7810/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.9260 (2.7808)	Prec@1 33.594 (33.867)	Prec@5 57.812 (64.133)
Epoch: [11][7820/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.5708 (2.7809)	Prec@1 42.188 (33.866)	Prec@5 66.406 (64.131)
Epoch: [11][7830/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.5518 (2.7808)	Prec@1 36.719 (33.868)	Prec@5 67.969 (64.133)
Epoch: [11][7840/14090]	Time 0.901 (0.765)	Data 0.001 (0.001)	Loss 2.8521 (2.7809)	Prec@1 32.812 (33.868)	Prec@5 64.844 (64.134)
Epoch: [11][7850/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.7930 (2.7809)	Prec@1 31.250 (33.867)	Prec@5 62.500 (64.133)
Epoch: [11][7860/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.9756 (2.7810)	Prec@1 37.500 (33.867)	Prec@5 61.719 (64.131)
Epoch: [11][7870/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.8932 (2.7809)	Prec@1 32.031 (33.867)	Prec@5 63.281 (64.131)
Epoch: [11][7880/14090]	Time 0.772 (0.765)	Data 0.001 (0.001)	Loss 2.9103 (2.7809)	Prec@1 36.719 (33.868)	Prec@5 60.938 (64.133)
Epoch: [11][7890/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 3.1671 (2.7810)	Prec@1 28.906 (33.866)	Prec@5 59.375 (64.132)
Epoch: [11][7900/14090]	Time 0.769 (0.765)	Data 0.001 (0.001)	Loss 2.6131 (2.7810)	Prec@1 39.062 (33.865)	Prec@5 64.062 (64.132)
Epoch: [11][7910/14090]	Time 0.831 (0.765)	Data 0.001 (0.001)	Loss 2.7967 (2.7809)	Prec@1 32.812 (33.866)	Prec@5 64.844 (64.133)
Epoch: [11][7920/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.5512 (2.7809)	Prec@1 38.281 (33.868)	Prec@5 67.969 (64.133)
Epoch: [11][7930/14090]	Time 0.767 (0.765)	Data 0.001 (0.001)	Loss 2.7240 (2.7809)	Prec@1 31.250 (33.867)	Prec@5 67.969 (64.133)
Epoch: [11][7940/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.5195 (2.7808)	Prec@1 42.969 (33.868)	Prec@5 71.094 (64.135)
Epoch: [11][7950/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.5172 (2.7808)	Prec@1 39.844 (33.868)	Prec@5 69.531 (64.137)
Epoch: [11][7960/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.5223 (2.7808)	Prec@1 35.938 (33.868)	Prec@5 68.750 (64.137)
Epoch: [11][7970/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.5803 (2.7808)	Prec@1 34.375 (33.867)	Prec@5 66.406 (64.136)
Epoch: [11][7980/14090]	Time 0.873 (0.765)	Data 0.001 (0.001)	Loss 2.8256 (2.7808)	Prec@1 25.781 (33.867)	Prec@5 57.812 (64.136)
Epoch: [11][7990/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.7608 (2.7808)	Prec@1 27.344 (33.866)	Prec@5 63.281 (64.136)
Epoch: [11][8000/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.5994 (2.7806)	Prec@1 39.844 (33.868)	Prec@5 67.969 (64.139)
Epoch: [11][8010/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.9090 (2.7807)	Prec@1 30.469 (33.867)	Prec@5 61.719 (64.139)
Epoch: [11][8020/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.7192 (2.7807)	Prec@1 35.156 (33.867)	Prec@5 68.750 (64.139)
Epoch: [11][8030/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 3.2205 (2.7807)	Prec@1 28.125 (33.867)	Prec@5 57.031 (64.140)
Epoch: [11][8040/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.7917 (2.7808)	Prec@1 36.719 (33.864)	Prec@5 61.719 (64.139)
Epoch: [11][8050/14090]	Time 0.820 (0.765)	Data 0.001 (0.001)	Loss 2.9665 (2.7807)	Prec@1 30.469 (33.868)	Prec@5 61.719 (64.140)
Epoch: [11][8060/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.7568 (2.7807)	Prec@1 32.031 (33.869)	Prec@5 65.625 (64.140)
Epoch: [11][8070/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 3.0191 (2.7807)	Prec@1 30.469 (33.869)	Prec@5 58.594 (64.141)
Epoch: [11][8080/14090]	Time 0.775 (0.765)	Data 0.001 (0.001)	Loss 2.8806 (2.7807)	Prec@1 25.781 (33.868)	Prec@5 66.406 (64.138)
Epoch: [11][8090/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.8779 (2.7807)	Prec@1 29.688 (33.868)	Prec@5 60.156 (64.139)
Epoch: [11][8100/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.6836 (2.7808)	Prec@1 35.156 (33.866)	Prec@5 66.406 (64.137)
Epoch: [11][8110/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.7945 (2.7808)	Prec@1 29.688 (33.865)	Prec@5 61.719 (64.136)
Epoch: [11][8120/14090]	Time 0.848 (0.765)	Data 0.001 (0.001)	Loss 2.7961 (2.7809)	Prec@1 37.500 (33.864)	Prec@5 64.062 (64.133)
Epoch: [11][8130/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.7492 (2.7811)	Prec@1 33.594 (33.861)	Prec@5 64.062 (64.131)
Epoch: [11][8140/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.8459 (2.7811)	Prec@1 32.812 (33.863)	Prec@5 68.750 (64.132)
Epoch: [11][8150/14090]	Time 0.768 (0.765)	Data 0.001 (0.001)	Loss 2.4067 (2.7810)	Prec@1 36.719 (33.862)	Prec@5 69.531 (64.131)
Epoch: [11][8160/14090]	Time 0.780 (0.765)	Data 0.001 (0.001)	Loss 2.5616 (2.7809)	Prec@1 35.156 (33.864)	Prec@5 70.312 (64.133)
Epoch: [11][8170/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.8236 (2.7809)	Prec@1 33.594 (33.863)	Prec@5 63.281 (64.132)
Epoch: [11][8180/14090]	Time 0.777 (0.765)	Data 0.001 (0.001)	Loss 2.7671 (2.7809)	Prec@1 28.125 (33.864)	Prec@5 65.625 (64.134)
Epoch: [11][8190/14090]	Time 0.823 (0.765)	Data 0.001 (0.001)	Loss 2.9110 (2.7809)	Prec@1 35.938 (33.864)	Prec@5 60.156 (64.133)
Epoch: [11][8200/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.7515 (2.7809)	Prec@1 32.031 (33.862)	Prec@5 67.188 (64.131)
Epoch: [11][8210/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.6819 (2.7809)	Prec@1 36.719 (33.861)	Prec@5 66.406 (64.133)
Epoch: [11][8220/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 3.0636 (2.7810)	Prec@1 27.344 (33.858)	Prec@5 60.156 (64.132)
Epoch: [11][8230/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.5396 (2.7810)	Prec@1 38.281 (33.856)	Prec@5 67.969 (64.132)
Epoch: [11][8240/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.7599 (2.7810)	Prec@1 37.500 (33.856)	Prec@5 60.156 (64.131)
Epoch: [11][8250/14090]	Time 0.781 (0.765)	Data 0.001 (0.001)	Loss 2.7626 (2.7810)	Prec@1 33.594 (33.856)	Prec@5 63.281 (64.132)
Epoch: [11][8260/14090]	Time 0.872 (0.765)	Data 0.001 (0.001)	Loss 2.7790 (2.7810)	Prec@1 34.375 (33.856)	Prec@5 65.625 (64.133)
Epoch: [11][8270/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.7350 (2.7810)	Prec@1 35.938 (33.855)	Prec@5 60.938 (64.131)
Epoch: [11][8280/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.9762 (2.7811)	Prec@1 37.500 (33.853)	Prec@5 57.812 (64.127)
Epoch: [11][8290/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.7262 (2.7812)	Prec@1 35.938 (33.851)	Prec@5 67.188 (64.125)
Epoch: [11][8300/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 3.1172 (2.7813)	Prec@1 27.344 (33.848)	Prec@5 54.688 (64.123)
Epoch: [11][8310/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.8664 (2.7812)	Prec@1 35.938 (33.851)	Prec@5 60.938 (64.126)
Epoch: [11][8320/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 2.5079 (2.7812)	Prec@1 39.062 (33.850)	Prec@5 71.875 (64.124)
Epoch: [11][8330/14090]	Time 0.893 (0.765)	Data 0.001 (0.001)	Loss 2.9497 (2.7812)	Prec@1 32.812 (33.848)	Prec@5 62.500 (64.124)
Epoch: [11][8340/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.5813 (2.7812)	Prec@1 35.156 (33.850)	Prec@5 71.094 (64.125)
Epoch: [11][8350/14090]	Time 0.782 (0.765)	Data 0.001 (0.001)	Loss 2.7712 (2.7811)	Prec@1 39.062 (33.853)	Prec@5 67.188 (64.125)
Epoch: [11][8360/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.6770 (2.7812)	Prec@1 37.500 (33.855)	Prec@5 64.844 (64.125)
Epoch: [11][8370/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 3.0837 (2.7812)	Prec@1 28.906 (33.855)	Prec@5 57.812 (64.125)
Epoch: [11][8380/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.8277 (2.7812)	Prec@1 30.469 (33.854)	Prec@5 62.500 (64.124)
Epoch: [11][8390/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.5776 (2.7812)	Prec@1 38.281 (33.854)	Prec@5 68.750 (64.125)
Epoch: [11][8400/14090]	Time 0.856 (0.765)	Data 0.001 (0.001)	Loss 3.0322 (2.7812)	Prec@1 28.125 (33.854)	Prec@5 59.375 (64.125)
Epoch: [11][8410/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.7004 (2.7811)	Prec@1 38.281 (33.857)	Prec@5 65.625 (64.127)
Epoch: [11][8420/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.5928 (2.7810)	Prec@1 33.594 (33.859)	Prec@5 68.750 (64.127)
Epoch: [11][8430/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.7531 (2.7810)	Prec@1 35.156 (33.859)	Prec@5 63.281 (64.127)
Epoch: [11][8440/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 2.8252 (2.7809)	Prec@1 32.812 (33.861)	Prec@5 61.719 (64.130)
Epoch: [11][8450/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.8467 (2.7809)	Prec@1 28.906 (33.860)	Prec@5 59.375 (64.130)
Epoch: [11][8460/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.7958 (2.7809)	Prec@1 35.156 (33.859)	Prec@5 64.844 (64.131)
Epoch: [11][8470/14090]	Time 0.846 (0.765)	Data 0.001 (0.001)	Loss 2.6551 (2.7809)	Prec@1 35.938 (33.862)	Prec@5 68.750 (64.131)
Epoch: [11][8480/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.9990 (2.7809)	Prec@1 31.250 (33.863)	Prec@5 65.625 (64.131)
Epoch: [11][8490/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.7627 (2.7810)	Prec@1 39.062 (33.859)	Prec@5 60.938 (64.130)
Epoch: [11][8500/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.7708 (2.7810)	Prec@1 29.688 (33.859)	Prec@5 64.844 (64.131)
Epoch: [11][8510/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.8605 (2.7810)	Prec@1 32.812 (33.858)	Prec@5 55.469 (64.132)
Epoch: [11][8520/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.5357 (2.7809)	Prec@1 42.188 (33.860)	Prec@5 68.750 (64.132)
Epoch: [11][8530/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.6791 (2.7810)	Prec@1 35.156 (33.861)	Prec@5 69.531 (64.133)
Epoch: [11][8540/14090]	Time 0.883 (0.765)	Data 0.001 (0.001)	Loss 2.9165 (2.7810)	Prec@1 35.938 (33.859)	Prec@5 60.156 (64.131)
Epoch: [11][8550/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.7907 (2.7810)	Prec@1 35.156 (33.857)	Prec@5 67.188 (64.133)
Epoch: [11][8560/14090]	Time 0.776 (0.765)	Data 0.001 (0.001)	Loss 2.7380 (2.7811)	Prec@1 31.250 (33.854)	Prec@5 61.719 (64.132)
Epoch: [11][8570/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 3.0056 (2.7812)	Prec@1 32.031 (33.854)	Prec@5 57.031 (64.129)
Epoch: [11][8580/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.8572 (2.7812)	Prec@1 32.812 (33.854)	Prec@5 60.156 (64.127)
Epoch: [11][8590/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.7628 (2.7813)	Prec@1 38.281 (33.852)	Prec@5 67.969 (64.125)
Epoch: [11][8600/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.7782 (2.7813)	Prec@1 28.906 (33.852)	Prec@5 67.188 (64.126)
Epoch: [11][8610/14090]	Time 0.862 (0.765)	Data 0.001 (0.001)	Loss 2.9478 (2.7813)	Prec@1 33.594 (33.852)	Prec@5 63.281 (64.125)
Epoch: [11][8620/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.8267 (2.7813)	Prec@1 33.594 (33.851)	Prec@5 65.625 (64.125)
Epoch: [11][8630/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.7342 (2.7813)	Prec@1 30.469 (33.851)	Prec@5 65.625 (64.125)
Epoch: [11][8640/14090]	Time 0.771 (0.765)	Data 0.001 (0.001)	Loss 3.0623 (2.7815)	Prec@1 29.688 (33.849)	Prec@5 58.594 (64.123)
Epoch: [11][8650/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.8762 (2.7816)	Prec@1 28.125 (33.846)	Prec@5 67.969 (64.124)
Epoch: [11][8660/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.4465 (2.7816)	Prec@1 40.625 (33.846)	Prec@5 68.750 (64.124)
Epoch: [11][8670/14090]	Time 0.722 (0.765)	Data 0.001 (0.001)	Loss 2.7595 (2.7817)	Prec@1 30.469 (33.842)	Prec@5 61.719 (64.123)
Epoch: [11][8680/14090]	Time 0.845 (0.765)	Data 0.001 (0.001)	Loss 2.8653 (2.7817)	Prec@1 32.812 (33.841)	Prec@5 64.844 (64.121)
Epoch: [11][8690/14090]	Time 0.720 (0.765)	Data 0.001 (0.001)	Loss 2.5924 (2.7816)	Prec@1 35.938 (33.846)	Prec@5 65.625 (64.125)
Epoch: [11][8700/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 3.0561 (2.7816)	Prec@1 32.031 (33.845)	Prec@5 62.500 (64.124)
Epoch: [11][8710/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.8751 (2.7817)	Prec@1 36.719 (33.846)	Prec@5 63.281 (64.123)
Epoch: [11][8720/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.9320 (2.7818)	Prec@1 30.469 (33.845)	Prec@5 63.281 (64.122)
Epoch: [11][8730/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.6869 (2.7817)	Prec@1 33.594 (33.846)	Prec@5 63.281 (64.121)
Epoch: [11][8740/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.9600 (2.7816)	Prec@1 34.375 (33.847)	Prec@5 60.156 (64.123)
Epoch: [11][8750/14090]	Time 0.886 (0.765)	Data 0.001 (0.001)	Loss 2.8146 (2.7817)	Prec@1 35.938 (33.847)	Prec@5 64.062 (64.121)
Epoch: [11][8760/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.8761 (2.7818)	Prec@1 32.812 (33.848)	Prec@5 60.156 (64.119)
Epoch: [11][8770/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.8087 (2.7818)	Prec@1 39.844 (33.848)	Prec@5 67.188 (64.119)
Epoch: [11][8780/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.7526 (2.7818)	Prec@1 34.375 (33.849)	Prec@5 65.625 (64.121)
Epoch: [11][8790/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.6690 (2.7818)	Prec@1 39.062 (33.849)	Prec@5 64.844 (64.121)
Epoch: [11][8800/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.8649 (2.7818)	Prec@1 32.812 (33.849)	Prec@5 60.156 (64.120)
Epoch: [11][8810/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 3.2155 (2.7817)	Prec@1 29.688 (33.851)	Prec@5 52.344 (64.120)
Epoch: [11][8820/14090]	Time 0.873 (0.765)	Data 0.001 (0.001)	Loss 2.4896 (2.7819)	Prec@1 42.188 (33.849)	Prec@5 76.562 (64.119)
Epoch: [11][8830/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.9214 (2.7819)	Prec@1 25.781 (33.847)	Prec@5 64.062 (64.119)
Epoch: [11][8840/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.8003 (2.7819)	Prec@1 34.375 (33.846)	Prec@5 62.500 (64.118)
Epoch: [11][8850/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.7943 (2.7819)	Prec@1 39.062 (33.846)	Prec@5 64.844 (64.116)
Epoch: [11][8860/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.6866 (2.7818)	Prec@1 32.812 (33.847)	Prec@5 67.969 (64.118)
Epoch: [11][8870/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.9832 (2.7819)	Prec@1 28.906 (33.847)	Prec@5 62.500 (64.117)
Epoch: [11][8880/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.6918 (2.7818)	Prec@1 34.375 (33.850)	Prec@5 68.750 (64.120)
Epoch: [11][8890/14090]	Time 0.846 (0.765)	Data 0.001 (0.001)	Loss 2.8352 (2.7818)	Prec@1 34.375 (33.850)	Prec@5 60.938 (64.118)
Epoch: [11][8900/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.4309 (2.7818)	Prec@1 38.281 (33.852)	Prec@5 71.094 (64.118)
Epoch: [11][8910/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.9337 (2.7818)	Prec@1 32.031 (33.852)	Prec@5 68.750 (64.119)
Epoch: [11][8920/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.7306 (2.7818)	Prec@1 38.281 (33.853)	Prec@5 67.969 (64.120)
Epoch: [11][8930/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 3.0065 (2.7818)	Prec@1 28.125 (33.852)	Prec@5 58.594 (64.120)
Epoch: [11][8940/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.7376 (2.7819)	Prec@1 32.031 (33.851)	Prec@5 63.281 (64.120)
Epoch: [11][8950/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.6709 (2.7819)	Prec@1 32.812 (33.851)	Prec@5 67.188 (64.119)
Epoch: [11][8960/14090]	Time 0.870 (0.765)	Data 0.001 (0.001)	Loss 2.7261 (2.7820)	Prec@1 32.031 (33.850)	Prec@5 69.531 (64.119)
Epoch: [11][8970/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.8200 (2.7820)	Prec@1 32.031 (33.850)	Prec@5 64.844 (64.118)
Epoch: [11][8980/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 3.0597 (2.7820)	Prec@1 28.125 (33.851)	Prec@5 58.594 (64.119)
Epoch: [11][8990/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 2.9347 (2.7820)	Prec@1 30.469 (33.850)	Prec@5 58.594 (64.118)
Epoch: [11][9000/14090]	Time 0.722 (0.765)	Data 0.001 (0.001)	Loss 3.0738 (2.7820)	Prec@1 21.875 (33.850)	Prec@5 57.031 (64.118)
Epoch: [11][9010/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.8234 (2.7819)	Prec@1 33.594 (33.851)	Prec@5 64.062 (64.120)
Epoch: [11][9020/14090]	Time 0.766 (0.765)	Data 0.001 (0.001)	Loss 2.9104 (2.7819)	Prec@1 29.688 (33.851)	Prec@5 62.500 (64.121)
Epoch: [11][9030/14090]	Time 0.855 (0.765)	Data 0.001 (0.001)	Loss 2.9945 (2.7820)	Prec@1 28.125 (33.850)	Prec@5 60.938 (64.120)
Epoch: [11][9040/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.9128 (2.7819)	Prec@1 29.688 (33.852)	Prec@5 63.281 (64.122)
Epoch: [11][9050/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.6805 (2.7818)	Prec@1 28.906 (33.854)	Prec@5 66.406 (64.122)
Epoch: [11][9060/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.8374 (2.7818)	Prec@1 38.281 (33.855)	Prec@5 65.625 (64.122)
Epoch: [11][9070/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.6607 (2.7818)	Prec@1 30.469 (33.856)	Prec@5 63.281 (64.122)
Epoch: [11][9080/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.4332 (2.7818)	Prec@1 41.406 (33.855)	Prec@5 70.312 (64.122)
Epoch: [11][9090/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.9364 (2.7818)	Prec@1 32.812 (33.855)	Prec@5 64.844 (64.123)
Epoch: [11][9100/14090]	Time 0.889 (0.765)	Data 0.001 (0.001)	Loss 2.6413 (2.7818)	Prec@1 39.062 (33.854)	Prec@5 69.531 (64.122)
Epoch: [11][9110/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.7161 (2.7819)	Prec@1 35.938 (33.853)	Prec@5 70.312 (64.121)
Epoch: [11][9120/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.8134 (2.7819)	Prec@1 38.281 (33.854)	Prec@5 63.281 (64.122)
Epoch: [11][9130/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.8194 (2.7819)	Prec@1 34.375 (33.854)	Prec@5 57.812 (64.119)
Epoch: [11][9140/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.5894 (2.7819)	Prec@1 37.500 (33.854)	Prec@5 66.406 (64.120)
Epoch: [11][9150/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.6419 (2.7819)	Prec@1 37.500 (33.855)	Prec@5 69.531 (64.120)
Epoch: [11][9160/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 3.1587 (2.7820)	Prec@1 28.125 (33.853)	Prec@5 55.469 (64.119)
Epoch: [11][9170/14090]	Time 0.875 (0.765)	Data 0.001 (0.001)	Loss 2.7826 (2.7820)	Prec@1 29.688 (33.852)	Prec@5 60.156 (64.120)
Epoch: [11][9180/14090]	Time 0.769 (0.765)	Data 0.001 (0.001)	Loss 2.6344 (2.7820)	Prec@1 42.188 (33.854)	Prec@5 64.844 (64.120)
Epoch: [11][9190/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.9633 (2.7820)	Prec@1 37.500 (33.853)	Prec@5 60.938 (64.119)
Epoch: [11][9200/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.8324 (2.7819)	Prec@1 32.031 (33.853)	Prec@5 60.938 (64.120)
Epoch: [11][9210/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.6994 (2.7820)	Prec@1 39.062 (33.853)	Prec@5 64.062 (64.119)
Epoch: [11][9220/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.7733 (2.7820)	Prec@1 34.375 (33.850)	Prec@5 64.062 (64.120)
Epoch: [11][9230/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.8105 (2.7820)	Prec@1 30.469 (33.851)	Prec@5 65.625 (64.121)
Epoch: [11][9240/14090]	Time 0.849 (0.765)	Data 0.001 (0.001)	Loss 2.7608 (2.7821)	Prec@1 32.031 (33.849)	Prec@5 64.062 (64.121)
Epoch: [11][9250/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.7009 (2.7820)	Prec@1 38.281 (33.849)	Prec@5 67.188 (64.122)
Epoch: [11][9260/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.8090 (2.7820)	Prec@1 33.594 (33.850)	Prec@5 65.625 (64.123)
Epoch: [11][9270/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.9126 (2.7820)	Prec@1 34.375 (33.850)	Prec@5 60.156 (64.122)
Epoch: [11][9280/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.6704 (2.7821)	Prec@1 36.719 (33.849)	Prec@5 67.188 (64.121)
Epoch: [11][9290/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 2.9723 (2.7821)	Prec@1 32.812 (33.848)	Prec@5 63.281 (64.121)
Epoch: [11][9300/14090]	Time 0.771 (0.765)	Data 0.001 (0.001)	Loss 2.8059 (2.7820)	Prec@1 32.031 (33.848)	Prec@5 60.156 (64.121)
Epoch: [11][9310/14090]	Time 0.845 (0.765)	Data 0.003 (0.001)	Loss 3.0770 (2.7820)	Prec@1 26.562 (33.846)	Prec@5 50.000 (64.120)
Epoch: [11][9320/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 2.7442 (2.7821)	Prec@1 34.375 (33.845)	Prec@5 64.062 (64.120)
Epoch: [11][9330/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 3.0153 (2.7821)	Prec@1 32.031 (33.845)	Prec@5 61.719 (64.120)
Epoch: [11][9340/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.9375 (2.7821)	Prec@1 33.594 (33.846)	Prec@5 60.156 (64.120)
Epoch: [11][9350/14090]	Time 0.781 (0.765)	Data 0.001 (0.001)	Loss 3.0413 (2.7822)	Prec@1 28.125 (33.845)	Prec@5 59.375 (64.121)
Epoch: [11][9360/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.8273 (2.7822)	Prec@1 32.031 (33.845)	Prec@5 60.938 (64.120)
Epoch: [11][9370/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.7632 (2.7822)	Prec@1 35.156 (33.845)	Prec@5 64.844 (64.119)
Epoch: [11][9380/14090]	Time 0.869 (0.765)	Data 0.001 (0.001)	Loss 2.9355 (2.7823)	Prec@1 34.375 (33.843)	Prec@5 60.156 (64.118)
Epoch: [11][9390/14090]	Time 0.776 (0.765)	Data 0.001 (0.001)	Loss 2.5951 (2.7823)	Prec@1 39.062 (33.843)	Prec@5 67.969 (64.119)
Epoch: [11][9400/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.9783 (2.7824)	Prec@1 32.812 (33.840)	Prec@5 59.375 (64.118)
Epoch: [11][9410/14090]	Time 0.787 (0.765)	Data 0.001 (0.001)	Loss 2.6516 (2.7823)	Prec@1 32.812 (33.841)	Prec@5 63.281 (64.119)
Epoch: [11][9420/14090]	Time 0.780 (0.765)	Data 0.001 (0.001)	Loss 3.0548 (2.7823)	Prec@1 28.125 (33.841)	Prec@5 61.719 (64.120)
Epoch: [11][9430/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.6825 (2.7823)	Prec@1 37.500 (33.840)	Prec@5 67.969 (64.121)
Epoch: [11][9440/14090]	Time 0.772 (0.765)	Data 0.001 (0.001)	Loss 2.7196 (2.7823)	Prec@1 35.938 (33.838)	Prec@5 67.188 (64.120)
Epoch: [11][9450/14090]	Time 0.854 (0.765)	Data 0.001 (0.001)	Loss 2.5824 (2.7823)	Prec@1 39.062 (33.839)	Prec@5 63.281 (64.119)
Epoch: [11][9460/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.6886 (2.7823)	Prec@1 39.062 (33.841)	Prec@5 65.625 (64.121)
Epoch: [11][9470/14090]	Time 0.772 (0.765)	Data 0.001 (0.001)	Loss 2.7276 (2.7823)	Prec@1 35.938 (33.841)	Prec@5 64.062 (64.121)
Epoch: [11][9480/14090]	Time 0.784 (0.765)	Data 0.001 (0.001)	Loss 2.7414 (2.7823)	Prec@1 36.719 (33.841)	Prec@5 64.062 (64.123)
Epoch: [11][9490/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.7012 (2.7823)	Prec@1 36.719 (33.840)	Prec@5 67.969 (64.123)
Epoch: [11][9500/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.8777 (2.7824)	Prec@1 26.562 (33.837)	Prec@5 63.281 (64.122)
Epoch: [11][9510/14090]	Time 0.779 (0.765)	Data 0.001 (0.001)	Loss 2.9194 (2.7824)	Prec@1 29.688 (33.835)	Prec@5 60.938 (64.121)
Epoch: [11][9520/14090]	Time 0.836 (0.765)	Data 0.001 (0.001)	Loss 2.6988 (2.7825)	Prec@1 38.281 (33.835)	Prec@5 60.156 (64.119)
Epoch: [11][9530/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.8881 (2.7825)	Prec@1 29.688 (33.834)	Prec@5 63.281 (64.119)
Epoch: [11][9540/14090]	Time 0.772 (0.765)	Data 0.001 (0.001)	Loss 2.9665 (2.7825)	Prec@1 28.125 (33.832)	Prec@5 66.406 (64.119)
Epoch: [11][9550/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.9269 (2.7825)	Prec@1 32.031 (33.833)	Prec@5 60.938 (64.119)
Epoch: [11][9560/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.7522 (2.7825)	Prec@1 35.156 (33.834)	Prec@5 66.406 (64.120)
Epoch: [11][9570/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.7215 (2.7826)	Prec@1 34.375 (33.832)	Prec@5 64.062 (64.117)
Epoch: [11][9580/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.8058 (2.7826)	Prec@1 30.469 (33.832)	Prec@5 61.719 (64.116)
Epoch: [11][9590/14090]	Time 0.873 (0.765)	Data 0.001 (0.001)	Loss 2.7590 (2.7826)	Prec@1 34.375 (33.834)	Prec@5 69.531 (64.118)
Epoch: [11][9600/14090]	Time 0.720 (0.765)	Data 0.001 (0.001)	Loss 2.6467 (2.7827)	Prec@1 39.062 (33.835)	Prec@5 63.281 (64.117)
Epoch: [11][9610/14090]	Time 0.781 (0.765)	Data 0.001 (0.001)	Loss 2.9145 (2.7827)	Prec@1 30.469 (33.835)	Prec@5 59.375 (64.117)
Epoch: [11][9620/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.7494 (2.7827)	Prec@1 36.719 (33.833)	Prec@5 65.625 (64.118)
Epoch: [11][9630/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.6764 (2.7827)	Prec@1 34.375 (33.832)	Prec@5 61.719 (64.116)
Epoch: [11][9640/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.8088 (2.7828)	Prec@1 28.125 (33.829)	Prec@5 64.062 (64.116)
Epoch: [11][9650/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.9318 (2.7828)	Prec@1 28.125 (33.831)	Prec@5 62.500 (64.117)
Epoch: [11][9660/14090]	Time 0.843 (0.765)	Data 0.001 (0.001)	Loss 3.0239 (2.7828)	Prec@1 27.344 (33.831)	Prec@5 60.938 (64.117)
Epoch: [11][9670/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.8858 (2.7829)	Prec@1 29.688 (33.831)	Prec@5 57.812 (64.116)
Epoch: [11][9680/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.6421 (2.7829)	Prec@1 35.938 (33.831)	Prec@5 67.188 (64.116)
Epoch: [11][9690/14090]	Time 0.777 (0.765)	Data 0.001 (0.001)	Loss 2.7975 (2.7828)	Prec@1 25.000 (33.832)	Prec@5 64.844 (64.117)
Epoch: [11][9700/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.4617 (2.7827)	Prec@1 42.969 (33.834)	Prec@5 73.438 (64.118)
Epoch: [11][9710/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.6721 (2.7827)	Prec@1 36.719 (33.836)	Prec@5 67.188 (64.119)
Epoch: [11][9720/14090]	Time 0.780 (0.765)	Data 0.001 (0.001)	Loss 2.9065 (2.7827)	Prec@1 25.781 (33.835)	Prec@5 61.719 (64.119)
Epoch: [11][9730/14090]	Time 0.838 (0.765)	Data 0.001 (0.001)	Loss 2.7571 (2.7827)	Prec@1 30.469 (33.836)	Prec@5 62.500 (64.119)
Epoch: [11][9740/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.6128 (2.7827)	Prec@1 37.500 (33.834)	Prec@5 67.188 (64.118)
Epoch: [11][9750/14090]	Time 0.783 (0.765)	Data 0.001 (0.001)	Loss 2.7994 (2.7828)	Prec@1 32.812 (33.833)	Prec@5 64.062 (64.116)
Epoch: [11][9760/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.8849 (2.7828)	Prec@1 32.031 (33.833)	Prec@5 64.844 (64.117)
Epoch: [11][9770/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.8835 (2.7828)	Prec@1 29.688 (33.834)	Prec@5 61.719 (64.115)
Epoch: [11][9780/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.8110 (2.7829)	Prec@1 37.500 (33.832)	Prec@5 64.844 (64.113)
Epoch: [11][9790/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.5253 (2.7829)	Prec@1 41.406 (33.832)	Prec@5 69.531 (64.111)
Epoch: [11][9800/14090]	Time 0.870 (0.765)	Data 0.001 (0.001)	Loss 2.7657 (2.7829)	Prec@1 34.375 (33.834)	Prec@5 61.719 (64.113)
Epoch: [11][9810/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.7700 (2.7829)	Prec@1 42.188 (33.835)	Prec@5 65.625 (64.113)
Epoch: [11][9820/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.4721 (2.7829)	Prec@1 41.406 (33.837)	Prec@5 70.312 (64.114)
Epoch: [11][9830/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 2.7073 (2.7829)	Prec@1 35.156 (33.837)	Prec@5 66.406 (64.114)
Epoch: [11][9840/14090]	Time 0.771 (0.765)	Data 0.001 (0.001)	Loss 2.9590 (2.7830)	Prec@1 32.812 (33.835)	Prec@5 59.375 (64.111)
Epoch: [11][9850/14090]	Time 0.722 (0.765)	Data 0.001 (0.001)	Loss 3.1898 (2.7830)	Prec@1 28.906 (33.836)	Prec@5 57.031 (64.112)
Epoch: [11][9860/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.8236 (2.7831)	Prec@1 33.594 (33.835)	Prec@5 62.500 (64.111)
Epoch: [11][9870/14090]	Time 0.866 (0.765)	Data 0.001 (0.001)	Loss 2.6301 (2.7831)	Prec@1 37.500 (33.834)	Prec@5 65.625 (64.110)
Epoch: [11][9880/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.7117 (2.7831)	Prec@1 36.719 (33.837)	Prec@5 71.094 (64.111)
Epoch: [11][9890/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.9992 (2.7830)	Prec@1 31.250 (33.837)	Prec@5 60.156 (64.112)
Epoch: [11][9900/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.9420 (2.7831)	Prec@1 26.562 (33.835)	Prec@5 57.812 (64.111)
Epoch: [11][9910/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.5991 (2.7831)	Prec@1 37.500 (33.835)	Prec@5 67.188 (64.111)
Epoch: [11][9920/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.6504 (2.7831)	Prec@1 35.938 (33.833)	Prec@5 71.094 (64.110)
Epoch: [11][9930/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.9275 (2.7832)	Prec@1 23.438 (33.832)	Prec@5 63.281 (64.108)
Epoch: [11][9940/14090]	Time 0.869 (0.765)	Data 0.001 (0.001)	Loss 2.6948 (2.7831)	Prec@1 35.938 (33.835)	Prec@5 64.062 (64.109)
Epoch: [11][9950/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.7182 (2.7831)	Prec@1 27.344 (33.835)	Prec@5 67.969 (64.107)
Epoch: [11][9960/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 2.9495 (2.7832)	Prec@1 35.156 (33.834)	Prec@5 60.156 (64.106)
Epoch: [11][9970/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.8669 (2.7833)	Prec@1 33.594 (33.833)	Prec@5 65.625 (64.105)
Epoch: [11][9980/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.9545 (2.7834)	Prec@1 24.219 (33.829)	Prec@5 58.594 (64.102)
Epoch: [11][9990/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.8479 (2.7834)	Prec@1 31.250 (33.830)	Prec@5 60.938 (64.103)
Epoch: [11][10000/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.9398 (2.7834)	Prec@1 34.375 (33.831)	Prec@5 64.062 (64.103)
Epoch: [11][10010/14090]	Time 0.858 (0.765)	Data 0.001 (0.001)	Loss 2.5617 (2.7833)	Prec@1 32.812 (33.831)	Prec@5 67.188 (64.103)
Epoch: [11][10020/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 3.0295 (2.7833)	Prec@1 27.344 (33.832)	Prec@5 59.375 (64.104)
Epoch: [11][10030/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 3.0005 (2.7834)	Prec@1 34.375 (33.832)	Prec@5 61.719 (64.100)
Epoch: [11][10040/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 2.6271 (2.7835)	Prec@1 37.500 (33.832)	Prec@5 67.969 (64.100)
Epoch: [11][10050/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.6650 (2.7835)	Prec@1 34.375 (33.830)	Prec@5 67.969 (64.099)
Epoch: [11][10060/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.7156 (2.7835)	Prec@1 32.031 (33.829)	Prec@5 64.844 (64.099)
Epoch: [11][10070/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.8428 (2.7835)	Prec@1 35.156 (33.831)	Prec@5 63.281 (64.098)
Epoch: [11][10080/14090]	Time 0.873 (0.765)	Data 0.001 (0.001)	Loss 3.1809 (2.7835)	Prec@1 24.219 (33.829)	Prec@5 58.594 (64.096)
Epoch: [11][10090/14090]	Time 0.772 (0.765)	Data 0.001 (0.001)	Loss 2.9312 (2.7835)	Prec@1 23.438 (33.829)	Prec@5 60.156 (64.098)
Epoch: [11][10100/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 2.5427 (2.7835)	Prec@1 36.719 (33.830)	Prec@5 70.312 (64.098)
Epoch: [11][10110/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.6513 (2.7835)	Prec@1 34.375 (33.830)	Prec@5 67.188 (64.098)
Epoch: [11][10120/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.6618 (2.7834)	Prec@1 35.156 (33.831)	Prec@5 64.062 (64.098)
Epoch: [11][10130/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.9163 (2.7835)	Prec@1 32.812 (33.832)	Prec@5 66.406 (64.100)
Epoch: [11][10140/14090]	Time 0.774 (0.765)	Data 0.001 (0.001)	Loss 2.8906 (2.7834)	Prec@1 32.812 (33.833)	Prec@5 56.250 (64.099)
Epoch: [11][10150/14090]	Time 0.853 (0.765)	Data 0.001 (0.001)	Loss 2.8275 (2.7835)	Prec@1 37.500 (33.833)	Prec@5 57.812 (64.096)
Epoch: [11][10160/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 3.0086 (2.7836)	Prec@1 33.594 (33.834)	Prec@5 62.500 (64.094)
Epoch: [11][10170/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 2.7460 (2.7836)	Prec@1 33.594 (33.833)	Prec@5 64.844 (64.093)
Epoch: [11][10180/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 3.2920 (2.7837)	Prec@1 28.906 (33.833)	Prec@5 50.781 (64.092)
Epoch: [11][10190/14090]	Time 0.770 (0.765)	Data 0.001 (0.001)	Loss 2.9553 (2.7838)	Prec@1 34.375 (33.832)	Prec@5 60.938 (64.089)
Epoch: [11][10200/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.7405 (2.7837)	Prec@1 30.469 (33.834)	Prec@5 69.531 (64.091)
Epoch: [11][10210/14090]	Time 0.778 (0.765)	Data 0.005 (0.001)	Loss 3.0071 (2.7838)	Prec@1 32.031 (33.832)	Prec@5 57.031 (64.091)
Epoch: [11][10220/14090]	Time 0.893 (0.765)	Data 0.001 (0.001)	Loss 2.5743 (2.7837)	Prec@1 33.594 (33.831)	Prec@5 64.844 (64.094)
Epoch: [11][10230/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.7780 (2.7836)	Prec@1 33.594 (33.832)	Prec@5 64.062 (64.095)
Epoch: [11][10240/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.9191 (2.7836)	Prec@1 32.812 (33.832)	Prec@5 61.719 (64.096)
Epoch: [11][10250/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.5369 (2.7835)	Prec@1 37.500 (33.834)	Prec@5 67.969 (64.097)
Epoch: [11][10260/14090]	Time 0.772 (0.765)	Data 0.001 (0.001)	Loss 2.5674 (2.7836)	Prec@1 39.062 (33.833)	Prec@5 67.969 (64.098)
Epoch: [11][10270/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.7906 (2.7835)	Prec@1 36.719 (33.833)	Prec@5 66.406 (64.098)
Epoch: [11][10280/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.9448 (2.7835)	Prec@1 30.469 (33.833)	Prec@5 60.938 (64.099)
Epoch: [11][10290/14090]	Time 0.858 (0.765)	Data 0.001 (0.001)	Loss 2.5703 (2.7835)	Prec@1 42.188 (33.835)	Prec@5 71.875 (64.099)
Epoch: [11][10300/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.6166 (2.7835)	Prec@1 38.281 (33.835)	Prec@5 67.969 (64.098)
Epoch: [11][10310/14090]	Time 0.782 (0.765)	Data 0.001 (0.001)	Loss 2.9026 (2.7836)	Prec@1 32.812 (33.834)	Prec@5 58.594 (64.097)
Epoch: [11][10320/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.7907 (2.7837)	Prec@1 37.500 (33.832)	Prec@5 62.500 (64.095)
Epoch: [11][10330/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.6667 (2.7836)	Prec@1 35.938 (33.835)	Prec@5 64.062 (64.096)
Epoch: [11][10340/14090]	Time 0.788 (0.765)	Data 0.001 (0.001)	Loss 2.9015 (2.7836)	Prec@1 32.031 (33.834)	Prec@5 65.625 (64.097)
Epoch: [11][10350/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.9130 (2.7836)	Prec@1 35.156 (33.832)	Prec@5 63.281 (64.096)
Epoch: [11][10360/14090]	Time 0.856 (0.765)	Data 0.001 (0.001)	Loss 2.7876 (2.7837)	Prec@1 36.719 (33.830)	Prec@5 63.281 (64.095)
Epoch: [11][10370/14090]	Time 0.782 (0.765)	Data 0.001 (0.001)	Loss 2.6319 (2.7837)	Prec@1 41.406 (33.831)	Prec@5 67.188 (64.095)
Epoch: [11][10380/14090]	Time 0.767 (0.765)	Data 0.001 (0.001)	Loss 2.6874 (2.7837)	Prec@1 38.281 (33.831)	Prec@5 66.406 (64.093)
Epoch: [11][10390/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.7188 (2.7837)	Prec@1 32.031 (33.832)	Prec@5 67.969 (64.093)
Epoch: [11][10400/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.9583 (2.7837)	Prec@1 25.781 (33.833)	Prec@5 57.812 (64.094)
Epoch: [11][10410/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 2.7206 (2.7836)	Prec@1 37.500 (33.833)	Prec@5 62.500 (64.094)
Epoch: [11][10420/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.9344 (2.7836)	Prec@1 30.469 (33.834)	Prec@5 58.594 (64.094)
Epoch: [11][10430/14090]	Time 0.839 (0.765)	Data 0.001 (0.001)	Loss 2.4829 (2.7835)	Prec@1 38.281 (33.835)	Prec@5 69.531 (64.095)
Epoch: [11][10440/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.4700 (2.7835)	Prec@1 39.844 (33.835)	Prec@5 64.844 (64.095)
Epoch: [11][10450/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.7827 (2.7834)	Prec@1 35.938 (33.835)	Prec@5 66.406 (64.095)
Epoch: [11][10460/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.8299 (2.7835)	Prec@1 39.062 (33.835)	Prec@5 64.062 (64.093)
Epoch: [11][10470/14090]	Time 0.773 (0.765)	Data 0.001 (0.001)	Loss 2.9588 (2.7835)	Prec@1 32.812 (33.834)	Prec@5 61.719 (64.092)
Epoch: [11][10480/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 3.0829 (2.7835)	Prec@1 29.688 (33.834)	Prec@5 54.688 (64.091)
Epoch: [11][10490/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.6118 (2.7835)	Prec@1 39.062 (33.835)	Prec@5 65.625 (64.091)
Epoch: [11][10500/14090]	Time 0.871 (0.765)	Data 0.001 (0.001)	Loss 2.9085 (2.7835)	Prec@1 29.688 (33.835)	Prec@5 61.719 (64.091)
Epoch: [11][10510/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 3.1300 (2.7836)	Prec@1 24.219 (33.836)	Prec@5 57.812 (64.089)
Epoch: [11][10520/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.6713 (2.7835)	Prec@1 35.156 (33.836)	Prec@5 67.969 (64.090)
Epoch: [11][10530/14090]	Time 0.766 (0.765)	Data 0.001 (0.001)	Loss 2.8119 (2.7835)	Prec@1 37.500 (33.838)	Prec@5 63.281 (64.091)
Epoch: [11][10540/14090]	Time 0.778 (0.765)	Data 0.001 (0.001)	Loss 2.6162 (2.7834)	Prec@1 35.938 (33.839)	Prec@5 70.312 (64.093)
Epoch: [11][10550/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 3.0059 (2.7835)	Prec@1 35.938 (33.838)	Prec@5 61.719 (64.093)
Epoch: [11][10560/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.8228 (2.7835)	Prec@1 32.812 (33.836)	Prec@5 59.375 (64.092)
Epoch: [11][10570/14090]	Time 0.819 (0.765)	Data 0.001 (0.001)	Loss 2.7718 (2.7834)	Prec@1 33.594 (33.837)	Prec@5 69.531 (64.094)
Epoch: [11][10580/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.5310 (2.7834)	Prec@1 38.281 (33.839)	Prec@5 67.188 (64.094)
Epoch: [11][10590/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.8144 (2.7834)	Prec@1 31.250 (33.837)	Prec@5 64.844 (64.094)
Epoch: [11][10600/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.7588 (2.7834)	Prec@1 33.594 (33.838)	Prec@5 64.844 (64.094)
Epoch: [11][10610/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.8103 (2.7834)	Prec@1 34.375 (33.838)	Prec@5 64.062 (64.094)
Epoch: [11][10620/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.9283 (2.7834)	Prec@1 32.031 (33.840)	Prec@5 60.938 (64.093)
Epoch: [11][10630/14090]	Time 0.774 (0.765)	Data 0.001 (0.001)	Loss 2.9258 (2.7833)	Prec@1 31.250 (33.840)	Prec@5 57.031 (64.093)
Epoch: [11][10640/14090]	Time 0.907 (0.765)	Data 0.001 (0.001)	Loss 2.7033 (2.7833)	Prec@1 40.625 (33.840)	Prec@5 63.281 (64.093)
Epoch: [11][10650/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.8065 (2.7833)	Prec@1 35.938 (33.840)	Prec@5 62.500 (64.091)
Epoch: [11][10660/14090]	Time 0.721 (0.765)	Data 0.001 (0.001)	Loss 3.0247 (2.7833)	Prec@1 24.219 (33.838)	Prec@5 53.906 (64.092)
Epoch: [11][10670/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.9464 (2.7834)	Prec@1 28.125 (33.838)	Prec@5 64.844 (64.091)
Epoch: [11][10680/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.8876 (2.7833)	Prec@1 34.375 (33.838)	Prec@5 64.844 (64.092)
Epoch: [11][10690/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.5120 (2.7833)	Prec@1 39.844 (33.839)	Prec@5 71.875 (64.092)
Epoch: [11][10700/14090]	Time 0.740 (0.765)	Data 0.002 (0.001)	Loss 2.7840 (2.7834)	Prec@1 32.031 (33.835)	Prec@5 67.969 (64.092)
Epoch: [11][10710/14090]	Time 0.875 (0.765)	Data 0.001 (0.001)	Loss 2.6416 (2.7834)	Prec@1 34.375 (33.836)	Prec@5 70.312 (64.094)
Epoch: [11][10720/14090]	Time 0.770 (0.765)	Data 0.001 (0.001)	Loss 2.5753 (2.7833)	Prec@1 34.375 (33.837)	Prec@5 61.719 (64.095)
Epoch: [11][10730/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 3.0215 (2.7833)	Prec@1 33.594 (33.840)	Prec@5 54.688 (64.096)
Epoch: [11][10740/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.7504 (2.7833)	Prec@1 36.719 (33.840)	Prec@5 64.844 (64.097)
Epoch: [11][10750/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.9493 (2.7834)	Prec@1 29.688 (33.839)	Prec@5 60.938 (64.095)
Epoch: [11][10760/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.5901 (2.7835)	Prec@1 38.281 (33.838)	Prec@5 65.625 (64.092)
Epoch: [11][10770/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.5618 (2.7834)	Prec@1 41.406 (33.841)	Prec@5 68.750 (64.094)
Epoch: [11][10780/14090]	Time 0.906 (0.765)	Data 0.001 (0.001)	Loss 2.6654 (2.7835)	Prec@1 32.812 (33.840)	Prec@5 66.406 (64.092)
Epoch: [11][10790/14090]	Time 0.781 (0.765)	Data 0.001 (0.001)	Loss 2.7419 (2.7835)	Prec@1 34.375 (33.840)	Prec@5 67.188 (64.093)
Epoch: [11][10800/14090]	Time 0.770 (0.765)	Data 0.001 (0.001)	Loss 2.5910 (2.7834)	Prec@1 34.375 (33.842)	Prec@5 64.062 (64.094)
Epoch: [11][10810/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.9196 (2.7833)	Prec@1 32.031 (33.845)	Prec@5 62.500 (64.096)
Epoch: [11][10820/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.9475 (2.7834)	Prec@1 27.344 (33.842)	Prec@5 65.625 (64.093)
Epoch: [11][10830/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.7545 (2.7835)	Prec@1 30.469 (33.840)	Prec@5 64.844 (64.090)
Epoch: [11][10840/14090]	Time 0.777 (0.765)	Data 0.001 (0.001)	Loss 2.9496 (2.7835)	Prec@1 32.812 (33.842)	Prec@5 57.812 (64.090)
Epoch: [11][10850/14090]	Time 0.876 (0.765)	Data 0.001 (0.001)	Loss 2.9001 (2.7835)	Prec@1 36.719 (33.841)	Prec@5 57.812 (64.088)
Epoch: [11][10860/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.6534 (2.7835)	Prec@1 39.062 (33.843)	Prec@5 69.531 (64.089)
Epoch: [11][10870/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.5609 (2.7833)	Prec@1 34.375 (33.846)	Prec@5 69.531 (64.092)
Epoch: [11][10880/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.6049 (2.7834)	Prec@1 35.156 (33.845)	Prec@5 67.969 (64.091)
Epoch: [11][10890/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.5102 (2.7833)	Prec@1 32.812 (33.847)	Prec@5 67.969 (64.092)
Epoch: [11][10900/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.7641 (2.7832)	Prec@1 28.906 (33.846)	Prec@5 64.062 (64.094)
Epoch: [11][10910/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.7055 (2.7832)	Prec@1 34.375 (33.844)	Prec@5 67.188 (64.094)
Epoch: [11][10920/14090]	Time 0.877 (0.765)	Data 0.001 (0.001)	Loss 2.6870 (2.7832)	Prec@1 35.156 (33.845)	Prec@5 64.844 (64.094)
Epoch: [11][10930/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.7295 (2.7831)	Prec@1 35.938 (33.848)	Prec@5 60.938 (64.095)
Epoch: [11][10940/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.8803 (2.7831)	Prec@1 35.156 (33.848)	Prec@5 58.594 (64.096)
Epoch: [11][10950/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.5242 (2.7830)	Prec@1 43.750 (33.850)	Prec@5 71.094 (64.097)
Epoch: [11][10960/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.6137 (2.7830)	Prec@1 34.375 (33.850)	Prec@5 67.188 (64.096)
Epoch: [11][10970/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.6963 (2.7830)	Prec@1 40.625 (33.851)	Prec@5 64.844 (64.096)
Epoch: [11][10980/14090]	Time 0.767 (0.765)	Data 0.001 (0.001)	Loss 2.7109 (2.7829)	Prec@1 35.938 (33.852)	Prec@5 64.062 (64.097)
Epoch: [11][10990/14090]	Time 0.874 (0.765)	Data 0.001 (0.001)	Loss 2.7826 (2.7829)	Prec@1 35.156 (33.852)	Prec@5 65.625 (64.097)
Epoch: [11][11000/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.9547 (2.7831)	Prec@1 31.250 (33.849)	Prec@5 60.938 (64.096)
Epoch: [11][11010/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.6591 (2.7830)	Prec@1 33.594 (33.851)	Prec@5 68.750 (64.098)
Epoch: [11][11020/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.6519 (2.7829)	Prec@1 36.719 (33.853)	Prec@5 60.938 (64.098)
Epoch: [11][11030/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.6976 (2.7830)	Prec@1 31.250 (33.851)	Prec@5 64.844 (64.095)
Epoch: [11][11040/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.8578 (2.7830)	Prec@1 32.812 (33.852)	Prec@5 64.844 (64.093)
Epoch: [11][11050/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 3.0534 (2.7831)	Prec@1 32.031 (33.852)	Prec@5 55.469 (64.092)
Epoch: [11][11060/14090]	Time 0.869 (0.765)	Data 0.001 (0.001)	Loss 2.8110 (2.7831)	Prec@1 36.719 (33.853)	Prec@5 62.500 (64.092)
Epoch: [11][11070/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.5584 (2.7830)	Prec@1 39.062 (33.854)	Prec@5 66.406 (64.091)
Epoch: [11][11080/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 3.1199 (2.7831)	Prec@1 27.344 (33.853)	Prec@5 57.031 (64.089)
Epoch: [11][11090/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.6456 (2.7832)	Prec@1 32.031 (33.851)	Prec@5 67.969 (64.089)
Epoch: [11][11100/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.5479 (2.7832)	Prec@1 39.062 (33.851)	Prec@5 67.188 (64.090)
Epoch: [11][11110/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 2.5167 (2.7832)	Prec@1 41.406 (33.852)	Prec@5 72.656 (64.091)
Epoch: [11][11120/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.8006 (2.7832)	Prec@1 35.156 (33.851)	Prec@5 62.500 (64.090)
Epoch: [11][11130/14090]	Time 0.879 (0.765)	Data 0.001 (0.001)	Loss 2.7043 (2.7832)	Prec@1 32.031 (33.852)	Prec@5 67.969 (64.091)
Epoch: [11][11140/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.6864 (2.7832)	Prec@1 34.375 (33.853)	Prec@5 66.406 (64.092)
Epoch: [11][11150/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.4853 (2.7832)	Prec@1 35.938 (33.853)	Prec@5 71.875 (64.092)
Epoch: [11][11160/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.8046 (2.7833)	Prec@1 35.156 (33.851)	Prec@5 60.156 (64.091)
Epoch: [11][11170/14090]	Time 0.766 (0.765)	Data 0.001 (0.001)	Loss 2.8572 (2.7833)	Prec@1 31.250 (33.850)	Prec@5 62.500 (64.089)
Epoch: [11][11180/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.7961 (2.7833)	Prec@1 32.812 (33.851)	Prec@5 60.938 (64.089)
Epoch: [11][11190/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.6444 (2.7833)	Prec@1 42.188 (33.853)	Prec@5 67.969 (64.090)
Epoch: [11][11200/14090]	Time 0.878 (0.765)	Data 0.001 (0.001)	Loss 2.6195 (2.7833)	Prec@1 33.594 (33.852)	Prec@5 67.188 (64.090)
Epoch: [11][11210/14090]	Time 0.717 (0.765)	Data 0.001 (0.001)	Loss 2.8718 (2.7833)	Prec@1 35.156 (33.852)	Prec@5 60.156 (64.090)
Epoch: [11][11220/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 3.0974 (2.7834)	Prec@1 27.344 (33.849)	Prec@5 54.688 (64.087)
Epoch: [11][11230/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.9848 (2.7834)	Prec@1 31.250 (33.850)	Prec@5 62.500 (64.087)
Epoch: [11][11240/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.6039 (2.7834)	Prec@1 37.500 (33.850)	Prec@5 67.969 (64.088)
Epoch: [11][11250/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.8092 (2.7834)	Prec@1 31.250 (33.850)	Prec@5 61.719 (64.088)
Epoch: [11][11260/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.8803 (2.7834)	Prec@1 26.562 (33.850)	Prec@5 57.031 (64.088)
Epoch: [11][11270/14090]	Time 0.860 (0.765)	Data 0.001 (0.001)	Loss 2.9847 (2.7834)	Prec@1 32.812 (33.850)	Prec@5 61.719 (64.088)
Epoch: [11][11280/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 3.2504 (2.7833)	Prec@1 25.781 (33.852)	Prec@5 56.250 (64.088)
Epoch: [11][11290/14090]	Time 0.775 (0.765)	Data 0.001 (0.001)	Loss 2.8976 (2.7834)	Prec@1 31.250 (33.852)	Prec@5 60.156 (64.088)
Epoch: [11][11300/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.8249 (2.7834)	Prec@1 29.688 (33.854)	Prec@5 60.938 (64.088)
Epoch: [11][11310/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.3677 (2.7833)	Prec@1 41.406 (33.854)	Prec@5 72.656 (64.089)
Epoch: [11][11320/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.7162 (2.7834)	Prec@1 42.188 (33.854)	Prec@5 62.500 (64.088)
Epoch: [11][11330/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.9679 (2.7835)	Prec@1 29.688 (33.852)	Prec@5 58.594 (64.086)
Epoch: [11][11340/14090]	Time 0.849 (0.765)	Data 0.001 (0.001)	Loss 2.5888 (2.7835)	Prec@1 40.625 (33.851)	Prec@5 70.312 (64.085)
Epoch: [11][11350/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.7932 (2.7834)	Prec@1 26.562 (33.853)	Prec@5 63.281 (64.087)
Epoch: [11][11360/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.7233 (2.7834)	Prec@1 32.812 (33.853)	Prec@5 65.625 (64.088)
Epoch: [11][11370/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.7707 (2.7834)	Prec@1 35.156 (33.851)	Prec@5 67.188 (64.087)
Epoch: [11][11380/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.5777 (2.7835)	Prec@1 32.031 (33.850)	Prec@5 68.750 (64.086)
Epoch: [11][11390/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.4950 (2.7835)	Prec@1 37.500 (33.849)	Prec@5 70.312 (64.085)
Epoch: [11][11400/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.7677 (2.7835)	Prec@1 32.031 (33.849)	Prec@5 67.188 (64.083)
Epoch: [11][11410/14090]	Time 0.850 (0.765)	Data 0.001 (0.001)	Loss 2.9918 (2.7835)	Prec@1 25.000 (33.848)	Prec@5 62.500 (64.083)
Epoch: [11][11420/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 3.0294 (2.7836)	Prec@1 28.906 (33.848)	Prec@5 59.375 (64.083)
Epoch: [11][11430/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.7474 (2.7836)	Prec@1 42.188 (33.849)	Prec@5 68.750 (64.083)
Epoch: [11][11440/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 3.1091 (2.7837)	Prec@1 23.438 (33.847)	Prec@5 64.062 (64.082)
Epoch: [11][11450/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.9214 (2.7837)	Prec@1 34.375 (33.848)	Prec@5 58.594 (64.083)
Epoch: [11][11460/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.3787 (2.7837)	Prec@1 39.062 (33.848)	Prec@5 67.969 (64.084)
Epoch: [11][11470/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.8946 (2.7836)	Prec@1 32.812 (33.848)	Prec@5 60.156 (64.083)
Epoch: [11][11480/14090]	Time 0.848 (0.765)	Data 0.001 (0.001)	Loss 2.9190 (2.7837)	Prec@1 34.375 (33.847)	Prec@5 61.719 (64.081)
Epoch: [11][11490/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.7744 (2.7836)	Prec@1 31.250 (33.849)	Prec@5 60.156 (64.082)
Epoch: [11][11500/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.8447 (2.7836)	Prec@1 30.469 (33.847)	Prec@5 60.938 (64.083)
Epoch: [11][11510/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.5334 (2.7836)	Prec@1 46.875 (33.848)	Prec@5 71.094 (64.083)
Epoch: [11][11520/14090]	Time 0.720 (0.765)	Data 0.001 (0.001)	Loss 2.6782 (2.7836)	Prec@1 39.844 (33.848)	Prec@5 67.188 (64.085)
Epoch: [11][11530/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.7068 (2.7835)	Prec@1 39.062 (33.850)	Prec@5 67.188 (64.087)
Epoch: [11][11540/14090]	Time 0.792 (0.765)	Data 0.001 (0.001)	Loss 2.6769 (2.7835)	Prec@1 38.281 (33.851)	Prec@5 64.062 (64.088)
Epoch: [11][11550/14090]	Time 0.863 (0.765)	Data 0.001 (0.001)	Loss 2.6401 (2.7834)	Prec@1 38.281 (33.852)	Prec@5 67.969 (64.089)
Epoch: [11][11560/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.8568 (2.7834)	Prec@1 33.594 (33.851)	Prec@5 67.969 (64.090)
Epoch: [11][11570/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 3.0816 (2.7835)	Prec@1 30.469 (33.850)	Prec@5 58.594 (64.089)
Epoch: [11][11580/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 3.0499 (2.7834)	Prec@1 26.562 (33.850)	Prec@5 54.688 (64.090)
Epoch: [11][11590/14090]	Time 0.773 (0.765)	Data 0.001 (0.001)	Loss 2.8349 (2.7834)	Prec@1 32.812 (33.851)	Prec@5 61.719 (64.090)
Epoch: [11][11600/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.5338 (2.7835)	Prec@1 39.844 (33.850)	Prec@5 70.312 (64.088)
Epoch: [11][11610/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.7255 (2.7834)	Prec@1 36.719 (33.851)	Prec@5 66.406 (64.089)
Epoch: [11][11620/14090]	Time 0.846 (0.765)	Data 0.001 (0.001)	Loss 2.9206 (2.7834)	Prec@1 33.594 (33.851)	Prec@5 62.500 (64.091)
Epoch: [11][11630/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 2.5651 (2.7833)	Prec@1 31.250 (33.851)	Prec@5 64.844 (64.090)
Epoch: [11][11640/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.5428 (2.7833)	Prec@1 40.625 (33.852)	Prec@5 64.062 (64.090)
Epoch: [11][11650/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.8709 (2.7834)	Prec@1 31.250 (33.850)	Prec@5 64.844 (64.090)
Epoch: [11][11660/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.7358 (2.7834)	Prec@1 39.062 (33.850)	Prec@5 60.156 (64.090)
Epoch: [11][11670/14090]	Time 0.769 (0.765)	Data 0.001 (0.001)	Loss 2.4546 (2.7834)	Prec@1 40.625 (33.849)	Prec@5 69.531 (64.089)
Epoch: [11][11680/14090]	Time 0.778 (0.765)	Data 0.001 (0.001)	Loss 2.9893 (2.7834)	Prec@1 29.688 (33.849)	Prec@5 60.156 (64.088)
Epoch: [11][11690/14090]	Time 0.881 (0.765)	Data 0.001 (0.001)	Loss 2.7129 (2.7834)	Prec@1 33.594 (33.849)	Prec@5 65.625 (64.089)
Epoch: [11][11700/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.7529 (2.7834)	Prec@1 36.719 (33.848)	Prec@5 63.281 (64.089)
Epoch: [11][11710/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.6009 (2.7833)	Prec@1 39.844 (33.849)	Prec@5 68.750 (64.091)
Epoch: [11][11720/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 3.1158 (2.7833)	Prec@1 28.906 (33.848)	Prec@5 56.250 (64.092)
Epoch: [11][11730/14090]	Time 0.766 (0.765)	Data 0.001 (0.001)	Loss 2.7017 (2.7833)	Prec@1 39.062 (33.850)	Prec@5 64.062 (64.093)
Epoch: [11][11740/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.4433 (2.7833)	Prec@1 36.719 (33.851)	Prec@5 72.656 (64.094)
Epoch: [11][11750/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.8223 (2.7832)	Prec@1 38.281 (33.852)	Prec@5 61.719 (64.093)
Epoch: [11][11760/14090]	Time 0.883 (0.765)	Data 0.001 (0.001)	Loss 2.5257 (2.7832)	Prec@1 36.719 (33.854)	Prec@5 67.188 (64.094)
Epoch: [11][11770/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.7443 (2.7831)	Prec@1 35.938 (33.855)	Prec@5 64.844 (64.095)
Epoch: [11][11780/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.9544 (2.7831)	Prec@1 37.500 (33.858)	Prec@5 58.594 (64.095)
Epoch: [11][11790/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 3.2317 (2.7831)	Prec@1 29.688 (33.857)	Prec@5 53.906 (64.094)
Epoch: [11][11800/14090]	Time 0.781 (0.765)	Data 0.001 (0.001)	Loss 2.5687 (2.7831)	Prec@1 38.281 (33.857)	Prec@5 67.188 (64.096)
Epoch: [11][11810/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.6579 (2.7831)	Prec@1 35.938 (33.859)	Prec@5 66.406 (64.096)
Epoch: [11][11820/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 3.2864 (2.7831)	Prec@1 21.094 (33.860)	Prec@5 52.344 (64.095)
Epoch: [11][11830/14090]	Time 0.875 (0.765)	Data 0.001 (0.001)	Loss 2.6986 (2.7831)	Prec@1 37.500 (33.861)	Prec@5 64.844 (64.096)
Epoch: [11][11840/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 2.7553 (2.7830)	Prec@1 36.719 (33.861)	Prec@5 64.844 (64.097)
Epoch: [11][11850/14090]	Time 0.784 (0.765)	Data 0.001 (0.001)	Loss 2.6371 (2.7831)	Prec@1 33.594 (33.861)	Prec@5 69.531 (64.096)
Epoch: [11][11860/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.9875 (2.7830)	Prec@1 28.125 (33.862)	Prec@5 60.156 (64.096)
Epoch: [11][11870/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.5690 (2.7830)	Prec@1 35.156 (33.862)	Prec@5 65.625 (64.096)
Epoch: [11][11880/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.6884 (2.7831)	Prec@1 34.375 (33.861)	Prec@5 63.281 (64.093)
Epoch: [11][11890/14090]	Time 0.778 (0.765)	Data 0.001 (0.001)	Loss 2.8030 (2.7831)	Prec@1 31.250 (33.863)	Prec@5 63.281 (64.093)
Epoch: [11][11900/14090]	Time 0.871 (0.765)	Data 0.001 (0.001)	Loss 2.8153 (2.7831)	Prec@1 29.688 (33.862)	Prec@5 67.188 (64.093)
Epoch: [11][11910/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.6900 (2.7831)	Prec@1 42.969 (33.862)	Prec@5 68.750 (64.093)
Epoch: [11][11920/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.5407 (2.7831)	Prec@1 35.156 (33.862)	Prec@5 66.406 (64.093)
Epoch: [11][11930/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.8320 (2.7831)	Prec@1 34.375 (33.861)	Prec@5 59.375 (64.092)
Epoch: [11][11940/14090]	Time 0.783 (0.765)	Data 0.002 (0.001)	Loss 2.8401 (2.7831)	Prec@1 29.688 (33.861)	Prec@5 66.406 (64.092)
Epoch: [11][11950/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.9341 (2.7831)	Prec@1 25.781 (33.859)	Prec@5 56.250 (64.091)
Epoch: [11][11960/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.7911 (2.7832)	Prec@1 32.812 (33.859)	Prec@5 65.625 (64.089)
Epoch: [11][11970/14090]	Time 0.927 (0.765)	Data 0.001 (0.001)	Loss 2.6705 (2.7832)	Prec@1 31.250 (33.856)	Prec@5 60.938 (64.087)
Epoch: [11][11980/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.5966 (2.7832)	Prec@1 40.625 (33.857)	Prec@5 67.969 (64.088)
Epoch: [11][11990/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.7405 (2.7832)	Prec@1 32.812 (33.857)	Prec@5 64.062 (64.088)
Epoch: [11][12000/14090]	Time 0.776 (0.765)	Data 0.001 (0.001)	Loss 2.8179 (2.7832)	Prec@1 30.469 (33.857)	Prec@5 62.500 (64.087)
Epoch: [11][12010/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.8833 (2.7832)	Prec@1 33.594 (33.858)	Prec@5 57.812 (64.086)
Epoch: [11][12020/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.6976 (2.7832)	Prec@1 29.688 (33.859)	Prec@5 63.281 (64.086)
Epoch: [11][12030/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.7574 (2.7832)	Prec@1 35.156 (33.858)	Prec@5 61.719 (64.084)
Epoch: [11][12040/14090]	Time 0.892 (0.765)	Data 0.001 (0.001)	Loss 2.4128 (2.7832)	Prec@1 38.281 (33.859)	Prec@5 68.750 (64.083)
Epoch: [11][12050/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 3.0752 (2.7832)	Prec@1 30.469 (33.860)	Prec@5 55.469 (64.083)
Epoch: [11][12060/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.8470 (2.7832)	Prec@1 32.812 (33.860)	Prec@5 63.281 (64.083)
Epoch: [11][12070/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.8257 (2.7833)	Prec@1 28.906 (33.859)	Prec@5 64.844 (64.083)
Epoch: [11][12080/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.5356 (2.7833)	Prec@1 36.719 (33.859)	Prec@5 67.969 (64.083)
Epoch: [11][12090/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.7351 (2.7832)	Prec@1 30.469 (33.860)	Prec@5 65.625 (64.083)
Epoch: [11][12100/14090]	Time 0.722 (0.765)	Data 0.001 (0.001)	Loss 3.0800 (2.7833)	Prec@1 28.125 (33.860)	Prec@5 57.031 (64.081)
Epoch: [11][12110/14090]	Time 0.868 (0.765)	Data 0.001 (0.001)	Loss 2.7022 (2.7833)	Prec@1 37.500 (33.859)	Prec@5 68.750 (64.081)
Epoch: [11][12120/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 3.0163 (2.7832)	Prec@1 22.656 (33.858)	Prec@5 58.594 (64.083)
Epoch: [11][12130/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.7108 (2.7832)	Prec@1 36.719 (33.857)	Prec@5 66.406 (64.083)
Epoch: [11][12140/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.8312 (2.7832)	Prec@1 38.281 (33.857)	Prec@5 60.156 (64.082)
Epoch: [11][12150/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.7392 (2.7831)	Prec@1 35.156 (33.860)	Prec@5 71.094 (64.082)
Epoch: [11][12160/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.7791 (2.7832)	Prec@1 33.594 (33.859)	Prec@5 60.938 (64.081)
Epoch: [11][12170/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.6327 (2.7831)	Prec@1 42.188 (33.862)	Prec@5 67.969 (64.083)
Epoch: [11][12180/14090]	Time 0.835 (0.765)	Data 0.001 (0.001)	Loss 2.9282 (2.7831)	Prec@1 31.250 (33.861)	Prec@5 60.938 (64.082)
Epoch: [11][12190/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.9900 (2.7832)	Prec@1 32.031 (33.860)	Prec@5 60.156 (64.080)
Epoch: [11][12200/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.9297 (2.7832)	Prec@1 30.469 (33.858)	Prec@5 59.375 (64.080)
Epoch: [11][12210/14090]	Time 0.783 (0.765)	Data 0.001 (0.001)	Loss 2.3966 (2.7832)	Prec@1 44.531 (33.858)	Prec@5 70.312 (64.079)
Epoch: [11][12220/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.7136 (2.7832)	Prec@1 32.812 (33.856)	Prec@5 67.188 (64.078)
Epoch: [11][12230/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.7874 (2.7832)	Prec@1 32.031 (33.856)	Prec@5 64.844 (64.078)
Epoch: [11][12240/14090]	Time 0.775 (0.765)	Data 0.001 (0.001)	Loss 2.4689 (2.7832)	Prec@1 42.188 (33.856)	Prec@5 73.438 (64.079)
Epoch: [11][12250/14090]	Time 0.879 (0.765)	Data 0.001 (0.001)	Loss 2.7314 (2.7832)	Prec@1 32.031 (33.857)	Prec@5 65.625 (64.079)
Epoch: [11][12260/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 2.6684 (2.7832)	Prec@1 32.812 (33.857)	Prec@5 65.625 (64.080)
Epoch: [11][12270/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.8470 (2.7832)	Prec@1 37.500 (33.856)	Prec@5 61.719 (64.081)
Epoch: [11][12280/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.5122 (2.7831)	Prec@1 36.719 (33.858)	Prec@5 71.094 (64.083)
Epoch: [11][12290/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.5731 (2.7830)	Prec@1 39.062 (33.860)	Prec@5 63.281 (64.082)
Epoch: [11][12300/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.8267 (2.7830)	Prec@1 34.375 (33.860)	Prec@5 64.062 (64.083)
Epoch: [11][12310/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.9729 (2.7830)	Prec@1 32.031 (33.862)	Prec@5 62.500 (64.084)
Epoch: [11][12320/14090]	Time 0.884 (0.765)	Data 0.001 (0.001)	Loss 2.7808 (2.7830)	Prec@1 31.250 (33.863)	Prec@5 61.719 (64.083)
Epoch: [11][12330/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.8872 (2.7830)	Prec@1 28.906 (33.863)	Prec@5 62.500 (64.085)
Epoch: [11][12340/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.7108 (2.7829)	Prec@1 31.250 (33.863)	Prec@5 68.750 (64.087)
Epoch: [11][12350/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 2.7660 (2.7829)	Prec@1 35.156 (33.865)	Prec@5 58.594 (64.088)
Epoch: [11][12360/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.9331 (2.7829)	Prec@1 33.594 (33.864)	Prec@5 60.938 (64.087)
Epoch: [11][12370/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.8497 (2.7829)	Prec@1 32.812 (33.866)	Prec@5 59.375 (64.087)
Epoch: [11][12380/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 2.8679 (2.7829)	Prec@1 29.688 (33.866)	Prec@5 64.062 (64.088)
Epoch: [11][12390/14090]	Time 0.860 (0.765)	Data 0.001 (0.001)	Loss 2.6053 (2.7829)	Prec@1 37.500 (33.865)	Prec@5 64.844 (64.088)
Epoch: [11][12400/14090]	Time 0.721 (0.765)	Data 0.001 (0.001)	Loss 2.8819 (2.7828)	Prec@1 31.250 (33.866)	Prec@5 61.719 (64.089)
Epoch: [11][12410/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 3.0827 (2.7828)	Prec@1 32.812 (33.867)	Prec@5 59.375 (64.091)
Epoch: [11][12420/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 3.0119 (2.7828)	Prec@1 34.375 (33.867)	Prec@5 60.156 (64.091)
Epoch: [11][12430/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.8045 (2.7829)	Prec@1 33.594 (33.866)	Prec@5 60.938 (64.089)
Epoch: [11][12440/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 3.0820 (2.7829)	Prec@1 30.469 (33.865)	Prec@5 55.469 (64.087)
Epoch: [11][12450/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.6564 (2.7830)	Prec@1 34.375 (33.864)	Prec@5 68.750 (64.085)
Epoch: [11][12460/14090]	Time 0.844 (0.765)	Data 0.001 (0.001)	Loss 2.7627 (2.7829)	Prec@1 32.812 (33.865)	Prec@5 63.281 (64.087)
Epoch: [11][12470/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.4924 (2.7829)	Prec@1 37.500 (33.865)	Prec@5 67.969 (64.088)
Epoch: [11][12480/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.7185 (2.7829)	Prec@1 35.938 (33.866)	Prec@5 64.844 (64.088)
Epoch: [11][12490/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 2.6690 (2.7829)	Prec@1 32.812 (33.866)	Prec@5 69.531 (64.088)
Epoch: [11][12500/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 3.0146 (2.7829)	Prec@1 31.250 (33.866)	Prec@5 58.594 (64.086)
Epoch: [11][12510/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.8800 (2.7828)	Prec@1 30.469 (33.867)	Prec@5 61.719 (64.087)
Epoch: [11][12520/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.7763 (2.7829)	Prec@1 33.594 (33.866)	Prec@5 64.062 (64.086)
Epoch: [11][12530/14090]	Time 0.861 (0.765)	Data 0.001 (0.001)	Loss 2.9976 (2.7830)	Prec@1 35.938 (33.866)	Prec@5 60.156 (64.085)
Epoch: [11][12540/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.4180 (2.7830)	Prec@1 36.719 (33.866)	Prec@5 71.094 (64.085)
Epoch: [11][12550/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.8927 (2.7829)	Prec@1 31.250 (33.867)	Prec@5 57.812 (64.086)
Epoch: [11][12560/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.7946 (2.7829)	Prec@1 35.938 (33.867)	Prec@5 67.188 (64.087)
Epoch: [11][12570/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.6251 (2.7829)	Prec@1 32.812 (33.868)	Prec@5 70.312 (64.087)
Epoch: [11][12580/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.7701 (2.7829)	Prec@1 35.938 (33.868)	Prec@5 67.188 (64.087)
Epoch: [11][12590/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.7129 (2.7828)	Prec@1 40.625 (33.869)	Prec@5 67.188 (64.088)
Epoch: [11][12600/14090]	Time 0.822 (0.765)	Data 0.001 (0.001)	Loss 2.5914 (2.7829)	Prec@1 35.938 (33.868)	Prec@5 66.406 (64.087)
Epoch: [11][12610/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.8390 (2.7829)	Prec@1 34.375 (33.869)	Prec@5 61.719 (64.088)
Epoch: [11][12620/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.6668 (2.7829)	Prec@1 34.375 (33.869)	Prec@5 68.750 (64.088)
Epoch: [11][12630/14090]	Time 0.779 (0.765)	Data 0.001 (0.001)	Loss 2.7245 (2.7829)	Prec@1 38.281 (33.869)	Prec@5 64.844 (64.087)
Epoch: [11][12640/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.8904 (2.7830)	Prec@1 28.906 (33.867)	Prec@5 64.062 (64.086)
Epoch: [11][12650/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.7690 (2.7830)	Prec@1 32.031 (33.866)	Prec@5 65.625 (64.086)
Epoch: [11][12660/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.6256 (2.7829)	Prec@1 34.375 (33.867)	Prec@5 67.969 (64.088)
Epoch: [11][12670/14090]	Time 0.875 (0.765)	Data 0.001 (0.001)	Loss 3.0191 (2.7830)	Prec@1 32.812 (33.866)	Prec@5 55.469 (64.086)
Epoch: [11][12680/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.7432 (2.7830)	Prec@1 41.406 (33.866)	Prec@5 64.062 (64.086)
Epoch: [11][12690/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.9362 (2.7830)	Prec@1 32.031 (33.867)	Prec@5 61.719 (64.087)
Epoch: [11][12700/14090]	Time 0.769 (0.765)	Data 0.001 (0.001)	Loss 2.6805 (2.7829)	Prec@1 31.250 (33.867)	Prec@5 63.281 (64.088)
Epoch: [11][12710/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.5589 (2.7828)	Prec@1 41.406 (33.870)	Prec@5 71.094 (64.090)
Epoch: [11][12720/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.6583 (2.7828)	Prec@1 40.625 (33.870)	Prec@5 65.625 (64.089)
Epoch: [11][12730/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.9425 (2.7829)	Prec@1 25.781 (33.870)	Prec@5 64.844 (64.089)
Epoch: [11][12740/14090]	Time 0.874 (0.765)	Data 0.001 (0.001)	Loss 2.5386 (2.7829)	Prec@1 37.500 (33.868)	Prec@5 66.406 (64.089)
Epoch: [11][12750/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.6274 (2.7829)	Prec@1 38.281 (33.868)	Prec@5 68.750 (64.090)
Epoch: [11][12760/14090]	Time 0.775 (0.765)	Data 0.001 (0.001)	Loss 2.6062 (2.7829)	Prec@1 37.500 (33.869)	Prec@5 69.531 (64.091)
Epoch: [11][12770/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.5855 (2.7828)	Prec@1 39.062 (33.871)	Prec@5 65.625 (64.091)
Epoch: [11][12780/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.8460 (2.7828)	Prec@1 35.156 (33.873)	Prec@5 64.062 (64.093)
Epoch: [11][12790/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.9208 (2.7828)	Prec@1 28.906 (33.871)	Prec@5 67.969 (64.093)
Epoch: [11][12800/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.7642 (2.7829)	Prec@1 35.938 (33.872)	Prec@5 64.844 (64.093)
Epoch: [11][12810/14090]	Time 0.889 (0.765)	Data 0.001 (0.001)	Loss 3.0697 (2.7829)	Prec@1 27.344 (33.872)	Prec@5 57.812 (64.093)
Epoch: [11][12820/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.8797 (2.7829)	Prec@1 26.562 (33.871)	Prec@5 59.375 (64.092)
Epoch: [11][12830/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.7109 (2.7829)	Prec@1 39.062 (33.871)	Prec@5 64.062 (64.093)
Epoch: [11][12840/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.9068 (2.7828)	Prec@1 35.156 (33.872)	Prec@5 60.156 (64.094)
Epoch: [11][12850/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.6760 (2.7829)	Prec@1 34.375 (33.869)	Prec@5 70.312 (64.091)
Epoch: [11][12860/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.7944 (2.7829)	Prec@1 35.938 (33.871)	Prec@5 62.500 (64.092)
Epoch: [11][12870/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.8746 (2.7829)	Prec@1 25.781 (33.870)	Prec@5 64.844 (64.091)
Epoch: [11][12880/14090]	Time 0.831 (0.765)	Data 0.001 (0.001)	Loss 2.7756 (2.7829)	Prec@1 30.469 (33.871)	Prec@5 64.844 (64.091)
Epoch: [11][12890/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 3.0413 (2.7829)	Prec@1 23.438 (33.869)	Prec@5 58.594 (64.091)
Epoch: [11][12900/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 3.0117 (2.7829)	Prec@1 24.219 (33.869)	Prec@5 60.156 (64.091)
Epoch: [11][12910/14090]	Time 0.780 (0.765)	Data 0.001 (0.001)	Loss 2.4920 (2.7828)	Prec@1 41.406 (33.872)	Prec@5 66.406 (64.093)
Epoch: [11][12920/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 2.9373 (2.7828)	Prec@1 32.031 (33.872)	Prec@5 57.031 (64.091)
Epoch: [11][12930/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.6223 (2.7828)	Prec@1 34.375 (33.872)	Prec@5 72.656 (64.092)
Epoch: [11][12940/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.9982 (2.7827)	Prec@1 31.250 (33.874)	Prec@5 59.375 (64.093)
Epoch: [11][12950/14090]	Time 0.872 (0.765)	Data 0.001 (0.001)	Loss 2.8401 (2.7827)	Prec@1 32.812 (33.874)	Prec@5 62.500 (64.092)
Epoch: [11][12960/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.5564 (2.7827)	Prec@1 33.594 (33.873)	Prec@5 65.625 (64.092)
Epoch: [11][12970/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.6398 (2.7828)	Prec@1 40.625 (33.874)	Prec@5 68.750 (64.092)
Epoch: [11][12980/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.8890 (2.7827)	Prec@1 29.688 (33.874)	Prec@5 64.062 (64.093)
Epoch: [11][12990/14090]	Time 0.771 (0.765)	Data 0.001 (0.001)	Loss 2.7945 (2.7827)	Prec@1 32.812 (33.875)	Prec@5 62.500 (64.094)
Epoch: [11][13000/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.6693 (2.7826)	Prec@1 34.375 (33.876)	Prec@5 64.062 (64.095)
Epoch: [11][13010/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 3.0537 (2.7827)	Prec@1 32.031 (33.875)	Prec@5 60.156 (64.094)
Epoch: [11][13020/14090]	Time 0.835 (0.765)	Data 0.001 (0.001)	Loss 3.1573 (2.7827)	Prec@1 32.812 (33.875)	Prec@5 54.688 (64.094)
Epoch: [11][13030/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.6348 (2.7827)	Prec@1 38.281 (33.876)	Prec@5 69.531 (64.095)
Epoch: [11][13040/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.9155 (2.7827)	Prec@1 34.375 (33.876)	Prec@5 60.938 (64.093)
Epoch: [11][13050/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.6458 (2.7826)	Prec@1 38.281 (33.878)	Prec@5 64.844 (64.095)
Epoch: [11][13060/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.8799 (2.7826)	Prec@1 29.688 (33.878)	Prec@5 64.062 (64.096)
Epoch: [11][13070/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.6596 (2.7825)	Prec@1 36.719 (33.878)	Prec@5 64.062 (64.097)
Epoch: [11][13080/14090]	Time 0.771 (0.765)	Data 0.001 (0.001)	Loss 2.9582 (2.7825)	Prec@1 28.906 (33.878)	Prec@5 64.844 (64.097)
Epoch: [11][13090/14090]	Time 0.845 (0.765)	Data 0.001 (0.001)	Loss 2.7850 (2.7825)	Prec@1 34.375 (33.879)	Prec@5 64.844 (64.098)
Epoch: [11][13100/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 3.0167 (2.7825)	Prec@1 30.469 (33.879)	Prec@5 60.938 (64.099)
Epoch: [11][13110/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.7156 (2.7825)	Prec@1 39.062 (33.879)	Prec@5 64.844 (64.098)
Epoch: [11][13120/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.4696 (2.7824)	Prec@1 40.625 (33.880)	Prec@5 65.625 (64.098)
Epoch: [11][13130/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.4818 (2.7825)	Prec@1 33.594 (33.879)	Prec@5 71.094 (64.099)
Epoch: [11][13140/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.7892 (2.7824)	Prec@1 37.500 (33.880)	Prec@5 63.281 (64.101)
Epoch: [11][13150/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.9999 (2.7825)	Prec@1 33.594 (33.880)	Prec@5 58.594 (64.100)
Epoch: [11][13160/14090]	Time 0.876 (0.765)	Data 0.001 (0.001)	Loss 2.6207 (2.7824)	Prec@1 33.594 (33.881)	Prec@5 66.406 (64.101)
Epoch: [11][13170/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.8457 (2.7824)	Prec@1 31.250 (33.880)	Prec@5 60.938 (64.100)
Epoch: [11][13180/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.4626 (2.7824)	Prec@1 44.531 (33.880)	Prec@5 66.406 (64.101)
Epoch: [11][13190/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.8189 (2.7824)	Prec@1 33.594 (33.883)	Prec@5 66.406 (64.103)
Epoch: [11][13200/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 3.3694 (2.7823)	Prec@1 20.312 (33.882)	Prec@5 52.344 (64.104)
Epoch: [11][13210/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.6797 (2.7824)	Prec@1 32.812 (33.881)	Prec@5 65.625 (64.103)
Epoch: [11][13220/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.8419 (2.7823)	Prec@1 32.031 (33.881)	Prec@5 59.375 (64.102)
Epoch: [11][13230/14090]	Time 0.860 (0.765)	Data 0.001 (0.001)	Loss 2.8884 (2.7824)	Prec@1 34.375 (33.880)	Prec@5 59.375 (64.102)
Epoch: [11][13240/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.9357 (2.7824)	Prec@1 30.469 (33.880)	Prec@5 60.938 (64.102)
Epoch: [11][13250/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.7132 (2.7824)	Prec@1 34.375 (33.880)	Prec@5 64.844 (64.100)
Epoch: [11][13260/14090]	Time 0.775 (0.765)	Data 0.001 (0.001)	Loss 3.0038 (2.7824)	Prec@1 28.906 (33.880)	Prec@5 60.156 (64.099)
Epoch: [11][13270/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.7722 (2.7824)	Prec@1 32.812 (33.880)	Prec@5 63.281 (64.099)
Epoch: [11][13280/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.8341 (2.7824)	Prec@1 33.594 (33.882)	Prec@5 64.844 (64.099)
Epoch: [11][13290/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 3.0811 (2.7824)	Prec@1 32.031 (33.881)	Prec@5 53.906 (64.098)
Epoch: [11][13300/14090]	Time 0.877 (0.765)	Data 0.001 (0.001)	Loss 2.8814 (2.7824)	Prec@1 31.250 (33.882)	Prec@5 62.500 (64.099)
Epoch: [11][13310/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.6418 (2.7825)	Prec@1 35.156 (33.880)	Prec@5 67.188 (64.099)
Epoch: [11][13320/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.5564 (2.7825)	Prec@1 39.062 (33.880)	Prec@5 68.750 (64.100)
Epoch: [11][13330/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.7426 (2.7824)	Prec@1 35.938 (33.881)	Prec@5 65.625 (64.103)
Epoch: [11][13340/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.8281 (2.7824)	Prec@1 33.594 (33.881)	Prec@5 62.500 (64.103)
Epoch: [11][13350/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.5171 (2.7823)	Prec@1 39.844 (33.883)	Prec@5 69.531 (64.104)
Epoch: [11][13360/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 3.0725 (2.7823)	Prec@1 30.469 (33.882)	Prec@5 57.031 (64.103)
Epoch: [11][13370/14090]	Time 0.856 (0.765)	Data 0.001 (0.001)	Loss 2.7419 (2.7823)	Prec@1 36.719 (33.883)	Prec@5 65.625 (64.104)
Epoch: [11][13380/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 3.1833 (2.7823)	Prec@1 29.688 (33.883)	Prec@5 58.594 (64.102)
Epoch: [11][13390/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.5532 (2.7824)	Prec@1 38.281 (33.884)	Prec@5 67.969 (64.101)
Epoch: [11][13400/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 3.0994 (2.7824)	Prec@1 28.125 (33.884)	Prec@5 59.375 (64.100)
Epoch: [11][13410/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 3.1641 (2.7824)	Prec@1 29.688 (33.885)	Prec@5 57.812 (64.099)
Epoch: [11][13420/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.6173 (2.7824)	Prec@1 36.719 (33.885)	Prec@5 64.844 (64.099)
Epoch: [11][13430/14090]	Time 0.768 (0.765)	Data 0.001 (0.001)	Loss 2.6629 (2.7825)	Prec@1 39.844 (33.883)	Prec@5 66.406 (64.098)
Epoch: [11][13440/14090]	Time 0.860 (0.765)	Data 0.001 (0.001)	Loss 2.9952 (2.7825)	Prec@1 25.000 (33.883)	Prec@5 59.375 (64.097)
Epoch: [11][13450/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 3.1339 (2.7825)	Prec@1 28.906 (33.881)	Prec@5 57.812 (64.098)
Epoch: [11][13460/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.8850 (2.7825)	Prec@1 33.594 (33.882)	Prec@5 64.844 (64.099)
Epoch: [11][13470/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.8071 (2.7825)	Prec@1 33.594 (33.881)	Prec@5 61.719 (64.098)
Epoch: [11][13480/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.8951 (2.7825)	Prec@1 33.594 (33.880)	Prec@5 62.500 (64.098)
Epoch: [11][13490/14090]	Time 0.782 (0.765)	Data 0.001 (0.001)	Loss 2.7417 (2.7825)	Prec@1 32.812 (33.881)	Prec@5 61.719 (64.099)
Epoch: [11][13500/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 2.5570 (2.7824)	Prec@1 41.406 (33.881)	Prec@5 65.625 (64.100)
Epoch: [11][13510/14090]	Time 0.862 (0.765)	Data 0.001 (0.001)	Loss 2.6478 (2.7824)	Prec@1 35.156 (33.880)	Prec@5 66.406 (64.100)
Epoch: [11][13520/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 3.0338 (2.7824)	Prec@1 25.000 (33.880)	Prec@5 58.594 (64.099)
Epoch: [11][13530/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.6836 (2.7824)	Prec@1 25.781 (33.879)	Prec@5 65.625 (64.100)
Epoch: [11][13540/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.5925 (2.7824)	Prec@1 36.719 (33.880)	Prec@5 64.844 (64.101)
Epoch: [11][13550/14090]	Time 0.769 (0.765)	Data 0.001 (0.001)	Loss 2.6991 (2.7824)	Prec@1 37.500 (33.880)	Prec@5 69.531 (64.100)
Epoch: [11][13560/14090]	Time 0.766 (0.765)	Data 0.001 (0.001)	Loss 2.9510 (2.7825)	Prec@1 33.594 (33.880)	Prec@5 60.938 (64.100)
Epoch: [11][13570/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.9549 (2.7825)	Prec@1 32.812 (33.878)	Prec@5 60.938 (64.099)
Epoch: [11][13580/14090]	Time 0.874 (0.765)	Data 0.001 (0.001)	Loss 2.9543 (2.7826)	Prec@1 29.688 (33.875)	Prec@5 60.156 (64.097)
Epoch: [11][13590/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.6038 (2.7827)	Prec@1 35.938 (33.874)	Prec@5 69.531 (64.098)
Epoch: [11][13600/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.9140 (2.7827)	Prec@1 32.031 (33.874)	Prec@5 62.500 (64.096)
Epoch: [11][13610/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 2.9166 (2.7828)	Prec@1 32.812 (33.871)	Prec@5 57.812 (64.094)
Epoch: [11][13620/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.9338 (2.7828)	Prec@1 32.812 (33.871)	Prec@5 62.500 (64.096)
Epoch: [11][13630/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.5045 (2.7827)	Prec@1 41.406 (33.873)	Prec@5 67.188 (64.098)
Epoch: [11][13640/14090]	Time 0.776 (0.765)	Data 0.001 (0.001)	Loss 2.6662 (2.7827)	Prec@1 42.188 (33.874)	Prec@5 66.406 (64.099)
Epoch: [11][13650/14090]	Time 0.872 (0.765)	Data 0.001 (0.001)	Loss 2.8023 (2.7827)	Prec@1 32.812 (33.875)	Prec@5 67.188 (64.099)
Epoch: [11][13660/14090]	Time 0.793 (0.765)	Data 0.001 (0.001)	Loss 2.9373 (2.7828)	Prec@1 30.469 (33.873)	Prec@5 60.938 (64.097)
Epoch: [11][13670/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.7085 (2.7829)	Prec@1 41.406 (33.872)	Prec@5 67.969 (64.096)
Epoch: [11][13680/14090]	Time 0.736 (0.765)	Data 0.002 (0.001)	Loss 2.6750 (2.7828)	Prec@1 36.719 (33.873)	Prec@5 60.156 (64.098)
Epoch: [11][13690/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.4789 (2.7828)	Prec@1 32.812 (33.872)	Prec@5 64.844 (64.097)
Epoch: [11][13700/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.9783 (2.7828)	Prec@1 26.562 (33.872)	Prec@5 56.250 (64.096)
Epoch: [11][13710/14090]	Time 0.740 (0.765)	Data 0.002 (0.001)	Loss 2.7683 (2.7828)	Prec@1 35.938 (33.872)	Prec@5 64.844 (64.095)
Epoch: [11][13720/14090]	Time 0.825 (0.765)	Data 0.001 (0.001)	Loss 3.0446 (2.7828)	Prec@1 29.688 (33.872)	Prec@5 60.938 (64.094)
Epoch: [11][13730/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.8045 (2.7828)	Prec@1 35.156 (33.873)	Prec@5 60.938 (64.095)
Epoch: [11][13740/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.9962 (2.7828)	Prec@1 27.344 (33.872)	Prec@5 62.500 (64.095)
Epoch: [11][13750/14090]	Time 0.766 (0.765)	Data 0.001 (0.001)	Loss 3.1083 (2.7829)	Prec@1 26.562 (33.870)	Prec@5 54.688 (64.094)
Epoch: [11][13760/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.9699 (2.7829)	Prec@1 33.594 (33.870)	Prec@5 61.719 (64.095)
Epoch: [11][13770/14090]	Time 0.766 (0.765)	Data 0.001 (0.001)	Loss 2.7238 (2.7829)	Prec@1 33.594 (33.871)	Prec@5 66.406 (64.095)
Epoch: [11][13780/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.8729 (2.7829)	Prec@1 32.031 (33.872)	Prec@5 62.500 (64.094)
Epoch: [11][13790/14090]	Time 0.853 (0.765)	Data 0.001 (0.001)	Loss 2.8165 (2.7829)	Prec@1 32.031 (33.872)	Prec@5 59.375 (64.094)
Epoch: [11][13800/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.8734 (2.7829)	Prec@1 32.031 (33.871)	Prec@5 65.625 (64.095)
Epoch: [11][13810/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.9867 (2.7828)	Prec@1 28.125 (33.872)	Prec@5 56.250 (64.096)
Epoch: [11][13820/14090]	Time 0.778 (0.765)	Data 0.001 (0.001)	Loss 2.9067 (2.7828)	Prec@1 34.375 (33.873)	Prec@5 64.062 (64.096)
Epoch: [11][13830/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.8213 (2.7828)	Prec@1 35.938 (33.872)	Prec@5 63.281 (64.097)
Epoch: [11][13840/14090]	Time 0.741 (0.765)	Data 0.002 (0.001)	Loss 2.5473 (2.7828)	Prec@1 41.406 (33.873)	Prec@5 65.625 (64.096)
Epoch: [11][13850/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.8446 (2.7829)	Prec@1 32.031 (33.872)	Prec@5 60.938 (64.095)
Epoch: [11][13860/14090]	Time 0.883 (0.765)	Data 0.002 (0.001)	Loss 2.7517 (2.7828)	Prec@1 39.062 (33.873)	Prec@5 65.625 (64.097)
Epoch: [11][13870/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.6729 (2.7828)	Prec@1 36.719 (33.872)	Prec@5 64.062 (64.096)
Epoch: [11][13880/14090]	Time 0.768 (0.765)	Data 0.001 (0.001)	Loss 2.8155 (2.7828)	Prec@1 30.469 (33.872)	Prec@5 66.406 (64.096)
Epoch: [11][13890/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.8323 (2.7828)	Prec@1 36.719 (33.871)	Prec@5 61.719 (64.096)
Epoch: [11][13900/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.4633 (2.7828)	Prec@1 44.531 (33.873)	Prec@5 70.312 (64.098)
Epoch: [11][13910/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.6773 (2.7828)	Prec@1 36.719 (33.872)	Prec@5 64.844 (64.098)
Epoch: [11][13920/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.5605 (2.7828)	Prec@1 35.156 (33.872)	Prec@5 66.406 (64.098)
Epoch: [11][13930/14090]	Time 0.822 (0.765)	Data 0.001 (0.001)	Loss 3.1754 (2.7828)	Prec@1 32.812 (33.872)	Prec@5 53.906 (64.097)
Epoch: [11][13940/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.9650 (2.7828)	Prec@1 30.469 (33.872)	Prec@5 60.938 (64.097)
Epoch: [11][13950/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.8111 (2.7828)	Prec@1 32.031 (33.872)	Prec@5 57.031 (64.096)
Epoch: [11][13960/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.4935 (2.7828)	Prec@1 38.281 (33.872)	Prec@5 66.406 (64.096)
Epoch: [11][13970/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 3.0982 (2.7828)	Prec@1 33.594 (33.873)	Prec@5 60.156 (64.097)
Epoch: [11][13980/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.8235 (2.7828)	Prec@1 28.906 (33.873)	Prec@5 62.500 (64.096)
Epoch: [11][13990/14090]	Time 0.776 (0.765)	Data 0.001 (0.001)	Loss 2.8150 (2.7828)	Prec@1 31.250 (33.871)	Prec@5 63.281 (64.096)
Epoch: [11][14000/14090]	Time 0.875 (0.765)	Data 0.001 (0.001)	Loss 2.4784 (2.7828)	Prec@1 37.500 (33.871)	Prec@5 68.750 (64.096)
Epoch: [11][14010/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.8049 (2.7828)	Prec@1 32.812 (33.869)	Prec@5 64.062 (64.095)
Epoch: [11][14020/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.7292 (2.7829)	Prec@1 39.844 (33.868)	Prec@5 64.062 (64.094)
Epoch: [11][14030/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 2.6026 (2.7829)	Prec@1 39.844 (33.869)	Prec@5 67.969 (64.093)
Epoch: [11][14040/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.8260 (2.7829)	Prec@1 29.688 (33.869)	Prec@5 65.625 (64.095)
Epoch: [11][14050/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.8998 (2.7829)	Prec@1 27.344 (33.868)	Prec@5 61.719 (64.095)
Epoch: [11][14060/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.6184 (2.7829)	Prec@1 33.594 (33.867)	Prec@5 67.969 (64.095)
Epoch: [11][14070/14090]	Time 0.841 (0.765)	Data 0.001 (0.001)	Loss 3.0038 (2.7830)	Prec@1 32.031 (33.866)	Prec@5 58.594 (64.092)
Epoch: [11][14080/14090]	Time 0.736 (0.765)	Data 0.000 (0.001)	Loss 2.6762 (2.7830)	Prec@1 36.719 (33.865)	Prec@5 69.531 (64.093)
Test: [0/286]	Time 3.017 (3.017)	Loss 1.9771 (1.9771)	Prec@1 42.188 (42.188)	Prec@5 89.062 (89.062)
Test: [10/286]	Time 0.232 (0.518)	Loss 2.6751 (2.7603)	Prec@1 28.906 (34.801)	Prec@5 68.750 (67.827)
Test: [20/286]	Time 0.233 (0.391)	Loss 3.3934 (2.7801)	Prec@1 21.875 (34.077)	Prec@5 54.688 (66.518)
Test: [30/286]	Time 0.236 (0.345)	Loss 2.6695 (2.5729)	Prec@1 36.719 (38.987)	Prec@5 66.406 (69.330)
Test: [40/286]	Time 0.244 (0.321)	Loss 2.5107 (2.6052)	Prec@1 25.000 (36.966)	Prec@5 75.781 (69.074)
Test: [50/286]	Time 0.244 (0.307)	Loss 0.8995 (2.5543)	Prec@1 82.031 (37.975)	Prec@5 89.062 (69.899)
Test: [60/286]	Time 0.238 (0.298)	Loss 3.0447 (2.5808)	Prec@1 35.156 (38.281)	Prec@5 65.625 (68.737)
Test: [70/286]	Time 0.240 (0.290)	Loss 1.3984 (2.5678)	Prec@1 64.844 (38.622)	Prec@5 85.938 (68.948)
Test: [80/286]	Time 0.245 (0.285)	Loss 3.2104 (2.6105)	Prec@1 21.875 (37.143)	Prec@5 55.469 (67.901)
Test: [90/286]	Time 0.245 (0.281)	Loss 3.6859 (2.6157)	Prec@1 23.438 (37.028)	Prec@5 44.531 (67.840)
Test: [100/286]	Time 0.265 (0.278)	Loss 2.9016 (2.6055)	Prec@1 25.000 (36.703)	Prec@5 63.281 (68.301)
Test: [110/286]	Time 0.234 (0.277)	Loss 2.4640 (2.5956)	Prec@1 42.188 (36.796)	Prec@5 73.438 (68.827)
Test: [120/286]	Time 0.246 (0.275)	Loss 1.6046 (2.5756)	Prec@1 63.281 (37.455)	Prec@5 83.594 (69.157)
Test: [130/286]	Time 0.243 (0.273)	Loss 1.5253 (2.5501)	Prec@1 60.938 (38.013)	Prec@5 86.719 (69.746)
Test: [140/286]	Time 0.263 (0.272)	Loss 2.8746 (2.5518)	Prec@1 35.156 (37.988)	Prec@5 64.844 (69.864)
Test: [150/286]	Time 0.352 (0.272)	Loss 2.8590 (2.5637)	Prec@1 35.938 (37.650)	Prec@5 68.750 (69.718)
Test: [160/286]	Time 0.257 (0.270)	Loss 4.1191 (2.5897)	Prec@1 7.031 (37.175)	Prec@5 27.344 (69.158)
Test: [170/286]	Time 0.278 (0.269)	Loss 2.1222 (2.5727)	Prec@1 39.844 (37.495)	Prec@5 83.594 (69.440)
Test: [180/286]	Time 0.246 (0.268)	Loss 2.7637 (2.5806)	Prec@1 40.625 (37.254)	Prec@5 69.531 (69.376)
Test: [190/286]	Time 0.232 (0.267)	Loss 3.3797 (2.5856)	Prec@1 9.375 (37.079)	Prec@5 55.469 (69.310)
Test: [200/286]	Time 0.286 (0.267)	Loss 3.0950 (2.5795)	Prec@1 24.219 (37.142)	Prec@5 61.719 (69.500)
Test: [210/286]	Time 0.247 (0.266)	Loss 2.4500 (2.5954)	Prec@1 35.938 (36.782)	Prec@5 76.562 (69.217)
Test: [220/286]	Time 0.239 (0.265)	Loss 3.0469 (2.5947)	Prec@1 20.312 (36.903)	Prec@5 63.281 (69.220)
Test: [230/286]	Time 0.250 (0.265)	Loss 2.1426 (2.5939)	Prec@1 47.656 (36.945)	Prec@5 75.000 (69.183)
Test: [240/286]	Time 0.245 (0.264)	Loss 2.3486 (2.5969)	Prec@1 50.000 (36.965)	Prec@5 71.875 (69.120)
Test: [250/286]	Time 0.298 (0.265)	Loss 2.4507 (2.5835)	Prec@1 38.281 (37.195)	Prec@5 63.281 (69.425)
Test: [260/286]	Time 0.267 (0.264)	Loss 2.6144 (2.5614)	Prec@1 24.219 (37.605)	Prec@5 74.219 (69.887)
Test: [270/286]	Time 0.269 (0.264)	Loss 2.6315 (2.5687)	Prec@1 29.688 (37.249)	Prec@5 71.875 (69.886)
Test: [280/286]	Time 0.230 (0.263)	Loss 3.3584 (2.5497)	Prec@1 16.406 (37.692)	Prec@5 64.062 (70.210)
 * Prec@1 37.809 Prec@5 70.227
Epoch: [12][0/14090]	Time 4.504 (4.504)	Data 3.715 (3.715)	Loss 2.8637 (2.8637)	Prec@1 28.125 (28.125)	Prec@5 61.719 (61.719)
Epoch: [12][10/14090]	Time 0.729 (1.088)	Data 0.001 (0.339)	Loss 2.6616 (2.7514)	Prec@1 39.844 (35.298)	Prec@5 67.188 (65.057)
Epoch: [12][20/14090]	Time 0.724 (0.929)	Data 0.001 (0.178)	Loss 2.7433 (2.7679)	Prec@1 35.938 (34.487)	Prec@5 64.844 (64.583)
Epoch: [12][30/14090]	Time 0.773 (0.874)	Data 0.001 (0.121)	Loss 2.7897 (2.7604)	Prec@1 29.688 (34.551)	Prec@5 64.062 (64.693)
Epoch: [12][40/14090]	Time 0.848 (0.848)	Data 0.001 (0.091)	Loss 2.7265 (2.7565)	Prec@1 32.812 (34.699)	Prec@5 67.188 (64.825)
Epoch: [12][50/14090]	Time 0.756 (0.830)	Data 0.001 (0.074)	Loss 2.5243 (2.7583)	Prec@1 34.375 (34.421)	Prec@5 68.750 (64.691)
Epoch: [12][60/14090]	Time 0.755 (0.819)	Data 0.001 (0.062)	Loss 2.9666 (2.7573)	Prec@1 35.938 (34.452)	Prec@5 55.469 (64.780)
Epoch: [12][70/14090]	Time 0.737 (0.813)	Data 0.001 (0.053)	Loss 2.9411 (2.7625)	Prec@1 32.812 (34.331)	Prec@5 57.812 (64.503)
Epoch: [12][80/14090]	Time 0.766 (0.807)	Data 0.001 (0.047)	Loss 2.6309 (2.7622)	Prec@1 35.938 (34.211)	Prec@5 67.969 (64.689)
Epoch: [12][90/14090]	Time 0.758 (0.804)	Data 0.001 (0.042)	Loss 2.7492 (2.7596)	Prec@1 39.062 (34.281)	Prec@5 64.062 (64.732)
Epoch: [12][100/14090]	Time 0.754 (0.799)	Data 0.001 (0.038)	Loss 2.7749 (2.7606)	Prec@1 28.906 (34.228)	Prec@5 61.719 (64.759)
Epoch: [12][110/14090]	Time 0.878 (0.797)	Data 0.001 (0.034)	Loss 2.7358 (2.7603)	Prec@1 40.625 (34.305)	Prec@5 68.750 (64.731)
Epoch: [12][120/14090]	Time 0.748 (0.794)	Data 0.001 (0.032)	Loss 2.9842 (2.7684)	Prec@1 33.594 (34.052)	Prec@5 63.281 (64.676)
Epoch: [12][130/14090]	Time 0.741 (0.792)	Data 0.001 (0.029)	Loss 2.8557 (2.7730)	Prec@1 28.906 (33.934)	Prec@5 64.844 (64.575)
Epoch: [12][140/14090]	Time 0.727 (0.790)	Data 0.001 (0.027)	Loss 2.6217 (2.7768)	Prec@1 33.594 (33.893)	Prec@5 65.625 (64.473)
Epoch: [12][150/14090]	Time 0.767 (0.789)	Data 0.001 (0.025)	Loss 2.8910 (2.7833)	Prec@1 36.719 (33.739)	Prec@5 64.844 (64.347)
Epoch: [12][160/14090]	Time 0.763 (0.788)	Data 0.001 (0.024)	Loss 2.6930 (2.7813)	Prec@1 33.594 (33.822)	Prec@5 68.750 (64.325)
Epoch: [12][170/14090]	Time 0.737 (0.786)	Data 0.001 (0.023)	Loss 2.7847 (2.7785)	Prec@1 32.812 (33.822)	Prec@5 63.281 (64.405)
Epoch: [12][180/14090]	Time 0.867 (0.785)	Data 0.001 (0.021)	Loss 2.8739 (2.7746)	Prec@1 31.250 (33.874)	Prec@5 62.500 (64.477)
Epoch: [12][190/14090]	Time 0.728 (0.784)	Data 0.001 (0.020)	Loss 2.7631 (2.7756)	Prec@1 36.719 (33.843)	Prec@5 59.375 (64.410)
Epoch: [12][200/14090]	Time 0.736 (0.782)	Data 0.001 (0.019)	Loss 2.9071 (2.7774)	Prec@1 32.812 (33.811)	Prec@5 66.406 (64.331)
Epoch: [12][210/14090]	Time 0.752 (0.782)	Data 0.001 (0.018)	Loss 2.7192 (2.7742)	Prec@1 33.594 (33.779)	Prec@5 65.625 (64.429)
Epoch: [12][220/14090]	Time 0.748 (0.781)	Data 0.001 (0.018)	Loss 2.5353 (2.7794)	Prec@1 39.844 (33.739)	Prec@5 67.188 (64.359)
Epoch: [12][230/14090]	Time 0.741 (0.780)	Data 0.001 (0.017)	Loss 2.6096 (2.7770)	Prec@1 39.844 (33.759)	Prec@5 63.281 (64.384)
Epoch: [12][240/14090]	Time 0.794 (0.780)	Data 0.001 (0.016)	Loss 2.8405 (2.7789)	Prec@1 32.031 (33.785)	Prec@5 64.844 (64.354)
Epoch: [12][250/14090]	Time 0.830 (0.779)	Data 0.001 (0.016)	Loss 3.0424 (2.7791)	Prec@1 33.594 (33.790)	Prec@5 57.812 (64.349)
Epoch: [12][260/14090]	Time 0.734 (0.778)	Data 0.001 (0.015)	Loss 2.5569 (2.7774)	Prec@1 35.938 (33.842)	Prec@5 69.531 (64.359)
Epoch: [12][270/14090]	Time 0.764 (0.778)	Data 0.001 (0.015)	Loss 2.7721 (2.7764)	Prec@1 30.469 (33.813)	Prec@5 60.156 (64.365)
Epoch: [12][280/14090]	Time 0.760 (0.778)	Data 0.001 (0.014)	Loss 2.7698 (2.7806)	Prec@1 39.062 (33.774)	Prec@5 65.625 (64.240)
Epoch: [12][290/14090]	Time 0.781 (0.777)	Data 0.001 (0.014)	Loss 2.8495 (2.7837)	Prec@1 39.062 (33.766)	Prec@5 62.500 (64.207)
Epoch: [12][300/14090]	Time 0.755 (0.777)	Data 0.001 (0.013)	Loss 2.7053 (2.7833)	Prec@1 34.375 (33.724)	Prec@5 68.750 (64.208)
Epoch: [12][310/14090]	Time 0.775 (0.777)	Data 0.001 (0.013)	Loss 2.7580 (2.7849)	Prec@1 36.719 (33.697)	Prec@5 64.062 (64.178)
Epoch: [12][320/14090]	Time 0.846 (0.776)	Data 0.001 (0.012)	Loss 2.7667 (2.7795)	Prec@1 35.156 (33.767)	Prec@5 61.719 (64.247)
Epoch: [12][330/14090]	Time 0.768 (0.776)	Data 0.001 (0.012)	Loss 2.5954 (2.7787)	Prec@1 30.469 (33.775)	Prec@5 71.094 (64.296)
Epoch: [12][340/14090]	Time 0.777 (0.776)	Data 0.001 (0.012)	Loss 2.7514 (2.7793)	Prec@1 36.719 (33.784)	Prec@5 63.281 (64.310)
Epoch: [12][350/14090]	Time 0.774 (0.776)	Data 0.001 (0.011)	Loss 2.6698 (2.7771)	Prec@1 40.625 (33.836)	Prec@5 68.750 (64.356)
Epoch: [12][360/14090]	Time 0.728 (0.775)	Data 0.001 (0.011)	Loss 2.8490 (2.7780)	Prec@1 30.469 (33.806)	Prec@5 64.062 (64.340)
Epoch: [12][370/14090]	Time 0.752 (0.775)	Data 0.001 (0.011)	Loss 2.9177 (2.7777)	Prec@1 27.344 (33.779)	Prec@5 61.719 (64.322)
Epoch: [12][380/14090]	Time 0.744 (0.775)	Data 0.001 (0.011)	Loss 2.5960 (2.7770)	Prec@1 37.500 (33.819)	Prec@5 64.062 (64.321)
Epoch: [12][390/14090]	Time 0.846 (0.775)	Data 0.001 (0.010)	Loss 2.8708 (2.7785)	Prec@1 30.469 (33.752)	Prec@5 61.719 (64.270)
Epoch: [12][400/14090]	Time 0.733 (0.774)	Data 0.001 (0.010)	Loss 2.6441 (2.7773)	Prec@1 33.594 (33.773)	Prec@5 67.188 (64.265)
Epoch: [12][410/14090]	Time 0.741 (0.774)	Data 0.001 (0.010)	Loss 2.5483 (2.7778)	Prec@1 34.375 (33.771)	Prec@5 73.438 (64.283)
Epoch: [12][420/14090]	Time 0.750 (0.774)	Data 0.001 (0.010)	Loss 3.1068 (2.7791)	Prec@1 25.781 (33.740)	Prec@5 50.000 (64.218)
Epoch: [12][430/14090]	Time 0.740 (0.774)	Data 0.001 (0.009)	Loss 2.7026 (2.7791)	Prec@1 41.406 (33.741)	Prec@5 60.938 (64.218)
Epoch: [12][440/14090]	Time 0.758 (0.774)	Data 0.001 (0.009)	Loss 2.6385 (2.7792)	Prec@1 34.375 (33.744)	Prec@5 68.750 (64.192)
Epoch: [12][450/14090]	Time 0.737 (0.774)	Data 0.001 (0.009)	Loss 2.8080 (2.7777)	Prec@1 33.594 (33.765)	Prec@5 64.844 (64.192)
Epoch: [12][460/14090]	Time 0.837 (0.774)	Data 0.001 (0.009)	Loss 2.6813 (2.7769)	Prec@1 35.156 (33.767)	Prec@5 66.406 (64.207)
Epoch: [12][470/14090]	Time 0.740 (0.773)	Data 0.001 (0.009)	Loss 3.0466 (2.7759)	Prec@1 26.562 (33.753)	Prec@5 58.594 (64.220)
Epoch: [12][480/14090]	Time 0.737 (0.773)	Data 0.001 (0.009)	Loss 2.8904 (2.7751)	Prec@1 34.375 (33.790)	Prec@5 61.719 (64.233)
Epoch: [12][490/14090]	Time 0.767 (0.773)	Data 0.001 (0.008)	Loss 2.9302 (2.7754)	Prec@1 25.781 (33.783)	Prec@5 61.719 (64.230)
Epoch: [12][500/14090]	Time 0.734 (0.773)	Data 0.001 (0.008)	Loss 2.8128 (2.7754)	Prec@1 35.156 (33.798)	Prec@5 64.062 (64.228)
Epoch: [12][510/14090]	Time 0.746 (0.773)	Data 0.001 (0.008)	Loss 2.7517 (2.7746)	Prec@1 36.719 (33.826)	Prec@5 66.406 (64.247)
Epoch: [12][520/14090]	Time 0.784 (0.773)	Data 0.001 (0.008)	Loss 2.6300 (2.7737)	Prec@1 33.594 (33.841)	Prec@5 68.750 (64.274)
Epoch: [12][530/14090]	Time 0.859 (0.772)	Data 0.001 (0.008)	Loss 2.5396 (2.7724)	Prec@1 33.594 (33.845)	Prec@5 69.531 (64.308)
Epoch: [12][540/14090]	Time 0.762 (0.772)	Data 0.001 (0.008)	Loss 2.5820 (2.7714)	Prec@1 37.500 (33.858)	Prec@5 66.406 (64.308)
Epoch: [12][550/14090]	Time 0.732 (0.772)	Data 0.001 (0.008)	Loss 2.9129 (2.7727)	Prec@1 28.125 (33.815)	Prec@5 60.156 (64.287)
Epoch: [12][560/14090]	Time 0.723 (0.772)	Data 0.001 (0.007)	Loss 2.7976 (2.7729)	Prec@1 35.938 (33.797)	Prec@5 63.281 (64.277)
Epoch: [12][570/14090]	Time 0.776 (0.772)	Data 0.001 (0.007)	Loss 2.8067 (2.7736)	Prec@1 39.062 (33.804)	Prec@5 62.500 (64.269)
Epoch: [12][580/14090]	Time 0.743 (0.772)	Data 0.001 (0.007)	Loss 2.6212 (2.7721)	Prec@1 36.719 (33.816)	Prec@5 61.719 (64.287)
Epoch: [12][590/14090]	Time 0.727 (0.772)	Data 0.001 (0.007)	Loss 3.0894 (2.7727)	Prec@1 27.344 (33.824)	Prec@5 58.594 (64.278)
Epoch: [12][600/14090]	Time 0.850 (0.772)	Data 0.001 (0.007)	Loss 2.6352 (2.7732)	Prec@1 38.281 (33.824)	Prec@5 63.281 (64.268)
Epoch: [12][610/14090]	Time 0.738 (0.772)	Data 0.001 (0.007)	Loss 2.8960 (2.7737)	Prec@1 35.938 (33.810)	Prec@5 64.844 (64.253)
Epoch: [12][620/14090]	Time 0.778 (0.771)	Data 0.001 (0.007)	Loss 2.4974 (2.7731)	Prec@1 31.250 (33.834)	Prec@5 72.656 (64.249)
Epoch: [12][630/14090]	Time 0.734 (0.771)	Data 0.001 (0.007)	Loss 2.7556 (2.7728)	Prec@1 32.031 (33.827)	Prec@5 66.406 (64.245)
Epoch: [12][640/14090]	Time 0.747 (0.771)	Data 0.001 (0.007)	Loss 2.6099 (2.7727)	Prec@1 35.156 (33.846)	Prec@5 67.969 (64.243)
Epoch: [12][650/14090]	Time 0.748 (0.771)	Data 0.001 (0.007)	Loss 2.7460 (2.7721)	Prec@1 36.719 (33.828)	Prec@5 66.406 (64.263)
Epoch: [12][660/14090]	Time 0.729 (0.771)	Data 0.001 (0.006)	Loss 2.8888 (2.7732)	Prec@1 28.906 (33.828)	Prec@5 58.594 (64.243)
Epoch: [12][670/14090]	Time 0.888 (0.771)	Data 0.001 (0.006)	Loss 2.9755 (2.7746)	Prec@1 28.906 (33.822)	Prec@5 62.500 (64.243)
Epoch: [12][680/14090]	Time 0.783 (0.771)	Data 0.001 (0.006)	Loss 2.7213 (2.7730)	Prec@1 30.469 (33.867)	Prec@5 60.156 (64.249)
Epoch: [12][690/14090]	Time 0.740 (0.771)	Data 0.002 (0.006)	Loss 2.8698 (2.7731)	Prec@1 28.125 (33.854)	Prec@5 60.156 (64.231)
Epoch: [12][700/14090]	Time 0.745 (0.771)	Data 0.001 (0.006)	Loss 2.8397 (2.7730)	Prec@1 32.812 (33.871)	Prec@5 65.625 (64.242)
Epoch: [12][710/14090]	Time 0.733 (0.771)	Data 0.001 (0.006)	Loss 2.7942 (2.7727)	Prec@1 32.812 (33.901)	Prec@5 70.312 (64.277)
Epoch: [12][720/14090]	Time 0.744 (0.771)	Data 0.001 (0.006)	Loss 2.7557 (2.7731)	Prec@1 36.719 (33.898)	Prec@5 64.062 (64.274)
Epoch: [12][730/14090]	Time 0.783 (0.771)	Data 0.001 (0.006)	Loss 2.9822 (2.7734)	Prec@1 35.938 (33.918)	Prec@5 59.375 (64.277)
Epoch: [12][740/14090]	Time 0.882 (0.771)	Data 0.001 (0.006)	Loss 2.7088 (2.7739)	Prec@1 28.125 (33.898)	Prec@5 67.188 (64.281)
Epoch: [12][750/14090]	Time 0.760 (0.770)	Data 0.001 (0.006)	Loss 2.6696 (2.7739)	Prec@1 30.469 (33.880)	Prec@5 71.094 (64.292)
Epoch: [12][760/14090]	Time 0.791 (0.770)	Data 0.001 (0.006)	Loss 2.9077 (2.7743)	Prec@1 35.156 (33.904)	Prec@5 59.375 (64.284)
Epoch: [12][770/14090]	Time 0.783 (0.770)	Data 0.001 (0.006)	Loss 2.6655 (2.7731)	Prec@1 32.031 (33.924)	Prec@5 66.406 (64.313)
Epoch: [12][780/14090]	Time 0.766 (0.770)	Data 0.001 (0.006)	Loss 2.7874 (2.7723)	Prec@1 32.031 (33.935)	Prec@5 61.719 (64.338)
Epoch: [12][790/14090]	Time 0.755 (0.770)	Data 0.001 (0.006)	Loss 2.3165 (2.7715)	Prec@1 45.312 (33.950)	Prec@5 74.219 (64.372)
Epoch: [12][800/14090]	Time 0.752 (0.770)	Data 0.001 (0.005)	Loss 3.0462 (2.7712)	Prec@1 25.000 (33.962)	Prec@5 61.719 (64.363)
Epoch: [12][810/14090]	Time 0.874 (0.770)	Data 0.001 (0.005)	Loss 2.7453 (2.7712)	Prec@1 33.594 (33.963)	Prec@5 64.062 (64.365)
Epoch: [12][820/14090]	Time 0.774 (0.770)	Data 0.001 (0.005)	Loss 2.8115 (2.7725)	Prec@1 32.031 (33.924)	Prec@5 67.969 (64.348)
Epoch: [12][830/14090]	Time 0.779 (0.770)	Data 0.001 (0.005)	Loss 2.8132 (2.7731)	Prec@1 31.250 (33.918)	Prec@5 63.281 (64.359)
Epoch: [12][840/14090]	Time 0.762 (0.770)	Data 0.001 (0.005)	Loss 2.8479 (2.7727)	Prec@1 32.031 (33.928)	Prec@5 62.500 (64.371)
Epoch: [12][850/14090]	Time 0.736 (0.770)	Data 0.001 (0.005)	Loss 2.5738 (2.7731)	Prec@1 33.594 (33.918)	Prec@5 68.750 (64.366)
Epoch: [12][860/14090]	Time 0.756 (0.770)	Data 0.001 (0.005)	Loss 2.7073 (2.7732)	Prec@1 38.281 (33.906)	Prec@5 66.406 (64.356)
Epoch: [12][870/14090]	Time 0.735 (0.770)	Data 0.001 (0.005)	Loss 2.8479 (2.7721)	Prec@1 31.250 (33.914)	Prec@5 62.500 (64.377)
Epoch: [12][880/14090]	Time 0.899 (0.770)	Data 0.001 (0.005)	Loss 3.0152 (2.7719)	Prec@1 28.125 (33.910)	Prec@5 57.031 (64.379)
Epoch: [12][890/14090]	Time 0.753 (0.770)	Data 0.001 (0.005)	Loss 2.8064 (2.7724)	Prec@1 38.281 (33.905)	Prec@5 63.281 (64.374)
Epoch: [12][900/14090]	Time 0.728 (0.770)	Data 0.001 (0.005)	Loss 2.8124 (2.7726)	Prec@1 32.031 (33.888)	Prec@5 64.062 (64.377)
Epoch: [12][910/14090]	Time 0.744 (0.770)	Data 0.001 (0.005)	Loss 2.6597 (2.7730)	Prec@1 33.594 (33.865)	Prec@5 66.406 (64.366)
Epoch: [12][920/14090]	Time 0.758 (0.770)	Data 0.001 (0.005)	Loss 2.6552 (2.7731)	Prec@1 40.625 (33.858)	Prec@5 64.062 (64.362)
Epoch: [12][930/14090]	Time 0.734 (0.770)	Data 0.001 (0.005)	Loss 2.7037 (2.7733)	Prec@1 33.594 (33.860)	Prec@5 67.188 (64.344)
Epoch: [12][940/14090]	Time 0.781 (0.770)	Data 0.001 (0.005)	Loss 2.8595 (2.7737)	Prec@1 34.375 (33.854)	Prec@5 65.625 (64.363)
Epoch: [12][950/14090]	Time 0.885 (0.770)	Data 0.001 (0.005)	Loss 2.7135 (2.7748)	Prec@1 32.031 (33.824)	Prec@5 66.406 (64.333)
Epoch: [12][960/14090]	Time 0.738 (0.770)	Data 0.001 (0.005)	Loss 2.6387 (2.7737)	Prec@1 35.156 (33.846)	Prec@5 62.500 (64.338)
Epoch: [12][970/14090]	Time 0.773 (0.770)	Data 0.001 (0.005)	Loss 2.5176 (2.7732)	Prec@1 38.281 (33.863)	Prec@5 66.406 (64.343)
Epoch: [12][980/14090]	Time 0.753 (0.770)	Data 0.001 (0.005)	Loss 2.9074 (2.7739)	Prec@1 32.031 (33.870)	Prec@5 60.938 (64.322)
Epoch: [12][990/14090]	Time 0.786 (0.769)	Data 0.001 (0.005)	Loss 2.6075 (2.7740)	Prec@1 35.938 (33.878)	Prec@5 68.750 (64.319)
Epoch: [12][1000/14090]	Time 0.727 (0.769)	Data 0.001 (0.005)	Loss 2.5548 (2.7738)	Prec@1 31.250 (33.879)	Prec@5 68.750 (64.309)
Epoch: [12][1010/14090]	Time 0.729 (0.769)	Data 0.001 (0.005)	Loss 2.5974 (2.7734)	Prec@1 35.938 (33.894)	Prec@5 67.188 (64.304)
Epoch: [12][1020/14090]	Time 0.839 (0.769)	Data 0.001 (0.004)	Loss 2.6987 (2.7730)	Prec@1 31.250 (33.901)	Prec@5 68.750 (64.307)
Epoch: [12][1030/14090]	Time 0.747 (0.769)	Data 0.001 (0.004)	Loss 3.0052 (2.7732)	Prec@1 27.344 (33.883)	Prec@5 58.594 (64.290)
Epoch: [12][1040/14090]	Time 0.742 (0.769)	Data 0.001 (0.004)	Loss 2.6954 (2.7735)	Prec@1 34.375 (33.887)	Prec@5 66.406 (64.277)
Epoch: [12][1050/14090]	Time 0.725 (0.769)	Data 0.001 (0.004)	Loss 2.8081 (2.7730)	Prec@1 32.812 (33.888)	Prec@5 60.156 (64.286)
Epoch: [12][1060/14090]	Time 0.736 (0.769)	Data 0.001 (0.004)	Loss 2.7518 (2.7727)	Prec@1 41.406 (33.902)	Prec@5 60.938 (64.288)
Epoch: [12][1070/14090]	Time 0.749 (0.769)	Data 0.001 (0.004)	Loss 2.6053 (2.7722)	Prec@1 42.188 (33.916)	Prec@5 64.062 (64.302)
Epoch: [12][1080/14090]	Time 0.732 (0.769)	Data 0.001 (0.004)	Loss 2.8299 (2.7722)	Prec@1 32.812 (33.912)	Prec@5 64.844 (64.293)
Epoch: [12][1090/14090]	Time 0.868 (0.769)	Data 0.001 (0.004)	Loss 2.8481 (2.7722)	Prec@1 35.938 (33.912)	Prec@5 59.375 (64.291)
Epoch: [12][1100/14090]	Time 0.723 (0.769)	Data 0.001 (0.004)	Loss 2.8506 (2.7716)	Prec@1 32.031 (33.914)	Prec@5 66.406 (64.298)
Epoch: [12][1110/14090]	Time 0.753 (0.769)	Data 0.001 (0.004)	Loss 2.7429 (2.7718)	Prec@1 40.625 (33.915)	Prec@5 67.188 (64.292)
Epoch: [12][1120/14090]	Time 0.743 (0.769)	Data 0.001 (0.004)	Loss 2.6870 (2.7714)	Prec@1 39.062 (33.912)	Prec@5 66.406 (64.307)
Epoch: [12][1130/14090]	Time 0.758 (0.769)	Data 0.001 (0.004)	Loss 2.5862 (2.7720)	Prec@1 39.844 (33.896)	Prec@5 73.438 (64.298)
Epoch: [12][1140/14090]	Time 0.750 (0.769)	Data 0.001 (0.004)	Loss 2.6081 (2.7724)	Prec@1 32.812 (33.874)	Prec@5 67.188 (64.296)
Epoch: [12][1150/14090]	Time 0.751 (0.769)	Data 0.001 (0.004)	Loss 2.5580 (2.7718)	Prec@1 35.156 (33.887)	Prec@5 74.219 (64.312)
Epoch: [12][1160/14090]	Time 0.862 (0.769)	Data 0.001 (0.004)	Loss 2.6502 (2.7714)	Prec@1 39.062 (33.893)	Prec@5 70.312 (64.316)
Epoch: [12][1170/14090]	Time 0.744 (0.769)	Data 0.001 (0.004)	Loss 2.6937 (2.7710)	Prec@1 36.719 (33.891)	Prec@5 67.969 (64.323)
Epoch: [12][1180/14090]	Time 0.733 (0.769)	Data 0.001 (0.004)	Loss 2.8470 (2.7708)	Prec@1 30.469 (33.889)	Prec@5 60.156 (64.322)
Epoch: [12][1190/14090]	Time 0.750 (0.769)	Data 0.001 (0.004)	Loss 2.8539 (2.7703)	Prec@1 33.594 (33.895)	Prec@5 63.281 (64.327)
Epoch: [12][1200/14090]	Time 0.767 (0.769)	Data 0.001 (0.004)	Loss 2.5765 (2.7702)	Prec@1 35.938 (33.875)	Prec@5 68.750 (64.329)
Epoch: [12][1210/14090]	Time 0.736 (0.769)	Data 0.001 (0.004)	Loss 3.0068 (2.7703)	Prec@1 34.375 (33.875)	Prec@5 61.719 (64.322)
Epoch: [12][1220/14090]	Time 0.731 (0.769)	Data 0.001 (0.004)	Loss 2.8880 (2.7702)	Prec@1 32.812 (33.884)	Prec@5 66.406 (64.327)
Epoch: [12][1230/14090]	Time 0.877 (0.769)	Data 0.001 (0.004)	Loss 2.5597 (2.7700)	Prec@1 39.062 (33.891)	Prec@5 68.750 (64.337)
Epoch: [12][1240/14090]	Time 0.733 (0.769)	Data 0.001 (0.004)	Loss 3.1068 (2.7698)	Prec@1 30.469 (33.905)	Prec@5 57.812 (64.333)
Epoch: [12][1250/14090]	Time 0.740 (0.769)	Data 0.001 (0.004)	Loss 2.9937 (2.7704)	Prec@1 35.156 (33.899)	Prec@5 61.719 (64.314)
Epoch: [12][1260/14090]	Time 0.777 (0.769)	Data 0.001 (0.004)	Loss 2.5976 (2.7708)	Prec@1 42.188 (33.890)	Prec@5 67.969 (64.302)
Epoch: [12][1270/14090]	Time 0.772 (0.769)	Data 0.001 (0.004)	Loss 2.9214 (2.7700)	Prec@1 26.562 (33.895)	Prec@5 63.281 (64.311)
Epoch: [12][1280/14090]	Time 0.748 (0.769)	Data 0.001 (0.004)	Loss 2.3938 (2.7702)	Prec@1 42.188 (33.895)	Prec@5 67.969 (64.303)
Epoch: [12][1290/14090]	Time 0.779 (0.769)	Data 0.001 (0.004)	Loss 2.8822 (2.7706)	Prec@1 28.906 (33.888)	Prec@5 65.625 (64.286)
Epoch: [12][1300/14090]	Time 0.848 (0.769)	Data 0.001 (0.004)	Loss 2.8937 (2.7713)	Prec@1 28.906 (33.880)	Prec@5 65.625 (64.270)
Epoch: [12][1310/14090]	Time 0.768 (0.769)	Data 0.001 (0.004)	Loss 2.6691 (2.7712)	Prec@1 30.469 (33.883)	Prec@5 65.625 (64.257)
Epoch: [12][1320/14090]	Time 0.743 (0.768)	Data 0.001 (0.004)	Loss 2.6375 (2.7710)	Prec@1 32.031 (33.899)	Prec@5 67.969 (64.265)
Epoch: [12][1330/14090]	Time 0.774 (0.768)	Data 0.001 (0.004)	Loss 2.6566 (2.7702)	Prec@1 35.156 (33.918)	Prec@5 62.500 (64.269)
Epoch: [12][1340/14090]	Time 0.760 (0.768)	Data 0.001 (0.004)	Loss 2.9679 (2.7700)	Prec@1 27.344 (33.918)	Prec@5 61.719 (64.276)
Epoch: [12][1350/14090]	Time 0.777 (0.768)	Data 0.001 (0.004)	Loss 2.6207 (2.7695)	Prec@1 38.281 (33.926)	Prec@5 71.094 (64.293)
Epoch: [12][1360/14090]	Time 0.765 (0.768)	Data 0.001 (0.004)	Loss 2.8624 (2.7695)	Prec@1 32.031 (33.923)	Prec@5 67.188 (64.300)
Epoch: [12][1370/14090]	Time 0.812 (0.768)	Data 0.001 (0.004)	Loss 2.7261 (2.7699)	Prec@1 37.500 (33.916)	Prec@5 69.531 (64.288)
Epoch: [12][1380/14090]	Time 0.756 (0.768)	Data 0.001 (0.004)	Loss 2.8595 (2.7703)	Prec@1 28.125 (33.915)	Prec@5 66.406 (64.284)
Epoch: [12][1390/14090]	Time 0.779 (0.768)	Data 0.001 (0.004)	Loss 2.6900 (2.7700)	Prec@1 37.500 (33.925)	Prec@5 68.750 (64.298)
Epoch: [12][1400/14090]	Time 0.740 (0.768)	Data 0.001 (0.004)	Loss 2.8981 (2.7700)	Prec@1 28.125 (33.912)	Prec@5 64.844 (64.307)
Epoch: [12][1410/14090]	Time 0.745 (0.768)	Data 0.001 (0.003)	Loss 2.7661 (2.7700)	Prec@1 34.375 (33.927)	Prec@5 63.281 (64.310)
Epoch: [12][1420/14090]	Time 0.743 (0.768)	Data 0.001 (0.003)	Loss 2.5902 (2.7693)	Prec@1 36.719 (33.941)	Prec@5 66.406 (64.327)
Epoch: [12][1430/14090]	Time 0.733 (0.768)	Data 0.001 (0.003)	Loss 2.8682 (2.7696)	Prec@1 31.250 (33.919)	Prec@5 66.406 (64.328)
Epoch: [12][1440/14090]	Time 0.841 (0.768)	Data 0.001 (0.003)	Loss 2.7325 (2.7699)	Prec@1 33.594 (33.907)	Prec@5 70.312 (64.332)
Epoch: [12][1450/14090]	Time 0.751 (0.768)	Data 0.001 (0.003)	Loss 2.7668 (2.7697)	Prec@1 32.812 (33.904)	Prec@5 66.406 (64.338)
Epoch: [12][1460/14090]	Time 0.732 (0.768)	Data 0.001 (0.003)	Loss 3.0334 (2.7703)	Prec@1 29.688 (33.901)	Prec@5 57.812 (64.317)
Epoch: [12][1470/14090]	Time 0.757 (0.768)	Data 0.001 (0.003)	Loss 2.5718 (2.7703)	Prec@1 37.500 (33.898)	Prec@5 66.406 (64.308)
Epoch: [12][1480/14090]	Time 0.778 (0.768)	Data 0.001 (0.003)	Loss 2.6916 (2.7699)	Prec@1 34.375 (33.902)	Prec@5 65.625 (64.308)
Epoch: [12][1490/14090]	Time 0.744 (0.768)	Data 0.001 (0.003)	Loss 2.6038 (2.7699)	Prec@1 35.156 (33.894)	Prec@5 65.625 (64.316)
Epoch: [12][1500/14090]	Time 0.742 (0.768)	Data 0.001 (0.003)	Loss 2.5430 (2.7696)	Prec@1 38.281 (33.911)	Prec@5 68.750 (64.318)
Epoch: [12][1510/14090]	Time 0.894 (0.768)	Data 0.001 (0.003)	Loss 2.6491 (2.7700)	Prec@1 40.625 (33.904)	Prec@5 64.062 (64.311)
Epoch: [12][1520/14090]	Time 0.755 (0.768)	Data 0.001 (0.003)	Loss 2.9266 (2.7698)	Prec@1 29.688 (33.907)	Prec@5 60.938 (64.316)
Epoch: [12][1530/14090]	Time 0.731 (0.768)	Data 0.001 (0.003)	Loss 2.8986 (2.7698)	Prec@1 35.938 (33.908)	Prec@5 66.406 (64.320)
Epoch: [12][1540/14090]	Time 0.737 (0.768)	Data 0.001 (0.003)	Loss 2.6148 (2.7696)	Prec@1 39.062 (33.901)	Prec@5 64.844 (64.325)
Epoch: [12][1550/14090]	Time 0.738 (0.768)	Data 0.001 (0.003)	Loss 3.0084 (2.7698)	Prec@1 32.812 (33.900)	Prec@5 58.594 (64.323)
Epoch: [12][1560/14090]	Time 0.767 (0.768)	Data 0.001 (0.003)	Loss 2.6942 (2.7700)	Prec@1 39.062 (33.889)	Prec@5 64.062 (64.321)
Epoch: [12][1570/14090]	Time 0.731 (0.768)	Data 0.001 (0.003)	Loss 2.7548 (2.7703)	Prec@1 32.031 (33.886)	Prec@5 64.844 (64.319)
Epoch: [12][1580/14090]	Time 0.848 (0.768)	Data 0.001 (0.003)	Loss 2.9418 (2.7707)	Prec@1 31.250 (33.888)	Prec@5 60.938 (64.319)
Epoch: [12][1590/14090]	Time 0.731 (0.768)	Data 0.001 (0.003)	Loss 2.7663 (2.7705)	Prec@1 33.594 (33.890)	Prec@5 64.844 (64.324)
Epoch: [12][1600/14090]	Time 0.746 (0.768)	Data 0.001 (0.003)	Loss 2.4357 (2.7700)	Prec@1 36.719 (33.902)	Prec@5 70.312 (64.330)
Epoch: [12][1610/14090]	Time 0.750 (0.768)	Data 0.001 (0.003)	Loss 2.8070 (2.7698)	Prec@1 32.031 (33.904)	Prec@5 63.281 (64.340)
Epoch: [12][1620/14090]	Time 0.779 (0.768)	Data 0.001 (0.003)	Loss 2.7196 (2.7697)	Prec@1 37.500 (33.910)	Prec@5 67.188 (64.342)
Epoch: [12][1630/14090]	Time 0.735 (0.768)	Data 0.001 (0.003)	Loss 3.1393 (2.7694)	Prec@1 29.688 (33.923)	Prec@5 57.812 (64.347)
Epoch: [12][1640/14090]	Time 0.739 (0.768)	Data 0.001 (0.003)	Loss 2.8425 (2.7695)	Prec@1 35.938 (33.917)	Prec@5 66.406 (64.350)
Epoch: [12][1650/14090]	Time 0.889 (0.768)	Data 0.001 (0.003)	Loss 2.8484 (2.7696)	Prec@1 35.938 (33.931)	Prec@5 66.406 (64.340)
Epoch: [12][1660/14090]	Time 0.733 (0.768)	Data 0.001 (0.003)	Loss 2.6241 (2.7699)	Prec@1 38.281 (33.923)	Prec@5 71.094 (64.343)
Epoch: [12][1670/14090]	Time 0.757 (0.768)	Data 0.001 (0.003)	Loss 2.5178 (2.7697)	Prec@1 38.281 (33.927)	Prec@5 66.406 (64.343)
Epoch: [12][1680/14090]	Time 0.758 (0.768)	Data 0.001 (0.003)	Loss 2.7114 (2.7695)	Prec@1 36.719 (33.940)	Prec@5 60.938 (64.347)
Epoch: [12][1690/14090]	Time 0.735 (0.768)	Data 0.001 (0.003)	Loss 2.9715 (2.7696)	Prec@1 31.250 (33.951)	Prec@5 58.594 (64.342)
Epoch: [12][1700/14090]	Time 0.751 (0.768)	Data 0.001 (0.003)	Loss 2.8394 (2.7699)	Prec@1 35.938 (33.944)	Prec@5 61.719 (64.330)
Epoch: [12][1710/14090]	Time 0.749 (0.768)	Data 0.001 (0.003)	Loss 2.7221 (2.7695)	Prec@1 32.812 (33.958)	Prec@5 66.406 (64.338)
Epoch: [12][1720/14090]	Time 0.853 (0.768)	Data 0.001 (0.003)	Loss 2.7836 (2.7694)	Prec@1 33.594 (33.961)	Prec@5 64.062 (64.335)
Epoch: [12][1730/14090]	Time 0.729 (0.768)	Data 0.001 (0.003)	Loss 2.8057 (2.7693)	Prec@1 36.719 (33.965)	Prec@5 60.156 (64.334)
Epoch: [12][1740/14090]	Time 0.758 (0.768)	Data 0.001 (0.003)	Loss 2.8662 (2.7689)	Prec@1 30.469 (33.972)	Prec@5 58.594 (64.353)
Epoch: [12][1750/14090]	Time 0.746 (0.768)	Data 0.001 (0.003)	Loss 2.7860 (2.7685)	Prec@1 33.594 (33.982)	Prec@5 64.062 (64.365)
Epoch: [12][1760/14090]	Time 0.748 (0.768)	Data 0.001 (0.003)	Loss 2.8156 (2.7689)	Prec@1 34.375 (33.968)	Prec@5 62.500 (64.353)
Epoch: [12][1770/14090]	Time 0.759 (0.768)	Data 0.001 (0.003)	Loss 2.5399 (2.7692)	Prec@1 31.250 (33.961)	Prec@5 67.188 (64.348)
Epoch: [12][1780/14090]	Time 0.745 (0.768)	Data 0.001 (0.003)	Loss 3.0271 (2.7691)	Prec@1 29.688 (33.964)	Prec@5 57.031 (64.350)
Epoch: [12][1790/14090]	Time 0.891 (0.768)	Data 0.001 (0.003)	Loss 2.7022 (2.7686)	Prec@1 31.250 (33.981)	Prec@5 60.938 (64.353)
Epoch: [12][1800/14090]	Time 0.750 (0.768)	Data 0.001 (0.003)	Loss 3.0822 (2.7689)	Prec@1 28.906 (33.978)	Prec@5 58.594 (64.350)
Epoch: [12][1810/14090]	Time 0.736 (0.768)	Data 0.001 (0.003)	Loss 2.9520 (2.7692)	Prec@1 30.469 (33.976)	Prec@5 62.500 (64.338)
Epoch: [12][1820/14090]	Time 0.724 (0.768)	Data 0.001 (0.003)	Loss 2.6385 (2.7693)	Prec@1 36.719 (33.967)	Prec@5 67.188 (64.339)
Epoch: [12][1830/14090]	Time 0.737 (0.768)	Data 0.001 (0.003)	Loss 2.4551 (2.7690)	Prec@1 42.969 (33.973)	Prec@5 71.094 (64.353)
Epoch: [12][1840/14090]	Time 0.728 (0.768)	Data 0.001 (0.003)	Loss 2.5838 (2.7687)	Prec@1 38.281 (33.979)	Prec@5 71.875 (64.358)
Epoch: [12][1850/14090]	Time 0.728 (0.768)	Data 0.001 (0.003)	Loss 2.4883 (2.7688)	Prec@1 38.281 (33.977)	Prec@5 71.875 (64.353)
Epoch: [12][1860/14090]	Time 0.856 (0.768)	Data 0.001 (0.003)	Loss 2.9472 (2.7690)	Prec@1 28.906 (33.972)	Prec@5 58.594 (64.353)
Epoch: [12][1870/14090]	Time 0.731 (0.768)	Data 0.001 (0.003)	Loss 2.7253 (2.7690)	Prec@1 32.031 (33.974)	Prec@5 71.094 (64.358)
Epoch: [12][1880/14090]	Time 0.731 (0.768)	Data 0.001 (0.003)	Loss 2.7851 (2.7686)	Prec@1 35.156 (33.981)	Prec@5 65.625 (64.368)
Epoch: [12][1890/14090]	Time 0.731 (0.768)	Data 0.001 (0.003)	Loss 2.8126 (2.7684)	Prec@1 36.719 (33.988)	Prec@5 67.969 (64.374)
Epoch: [12][1900/14090]	Time 0.760 (0.768)	Data 0.001 (0.003)	Loss 2.6244 (2.7685)	Prec@1 38.281 (33.987)	Prec@5 69.531 (64.379)
Epoch: [12][1910/14090]	Time 0.741 (0.768)	Data 0.001 (0.003)	Loss 2.8478 (2.7690)	Prec@1 31.250 (33.975)	Prec@5 60.938 (64.373)
Epoch: [12][1920/14090]	Time 0.773 (0.768)	Data 0.001 (0.003)	Loss 2.6021 (2.7688)	Prec@1 32.812 (33.968)	Prec@5 69.531 (64.382)
Epoch: [12][1930/14090]	Time 0.843 (0.768)	Data 0.001 (0.003)	Loss 2.6462 (2.7690)	Prec@1 30.469 (33.966)	Prec@5 71.094 (64.378)
Epoch: [12][1940/14090]	Time 0.731 (0.768)	Data 0.001 (0.003)	Loss 2.7295 (2.7690)	Prec@1 31.250 (33.958)	Prec@5 64.844 (64.378)
Epoch: [12][1950/14090]	Time 0.754 (0.768)	Data 0.001 (0.003)	Loss 3.0230 (2.7696)	Prec@1 23.438 (33.943)	Prec@5 55.469 (64.367)
Epoch: [12][1960/14090]	Time 0.758 (0.768)	Data 0.001 (0.003)	Loss 2.8356 (2.7697)	Prec@1 34.375 (33.945)	Prec@5 58.594 (64.358)
Epoch: [12][1970/14090]	Time 0.779 (0.768)	Data 0.001 (0.003)	Loss 2.7391 (2.7694)	Prec@1 36.719 (33.958)	Prec@5 64.844 (64.365)
Epoch: [12][1980/14090]	Time 0.749 (0.768)	Data 0.001 (0.003)	Loss 2.7556 (2.7701)	Prec@1 33.594 (33.949)	Prec@5 64.062 (64.352)
Epoch: [12][1990/14090]	Time 0.801 (0.768)	Data 0.001 (0.003)	Loss 3.3709 (2.7706)	Prec@1 24.219 (33.941)	Prec@5 53.125 (64.338)
Epoch: [12][2000/14090]	Time 0.904 (0.768)	Data 0.001 (0.003)	Loss 2.7139 (2.7708)	Prec@1 30.469 (33.931)	Prec@5 64.062 (64.335)
Epoch: [12][2010/14090]	Time 0.734 (0.768)	Data 0.001 (0.003)	Loss 2.7063 (2.7710)	Prec@1 39.062 (33.942)	Prec@5 67.188 (64.333)
Epoch: [12][2020/14090]	Time 0.752 (0.768)	Data 0.001 (0.003)	Loss 2.9634 (2.7708)	Prec@1 25.781 (33.949)	Prec@5 57.031 (64.336)
Epoch: [12][2030/14090]	Time 0.727 (0.768)	Data 0.001 (0.003)	Loss 2.8039 (2.7707)	Prec@1 33.594 (33.946)	Prec@5 65.625 (64.339)
Epoch: [12][2040/14090]	Time 0.776 (0.767)	Data 0.001 (0.003)	Loss 2.9206 (2.7708)	Prec@1 32.812 (33.947)	Prec@5 60.938 (64.336)
Epoch: [12][2050/14090]	Time 0.757 (0.768)	Data 0.001 (0.003)	Loss 2.7724 (2.7705)	Prec@1 29.688 (33.948)	Prec@5 66.406 (64.347)
Epoch: [12][2060/14090]	Time 0.762 (0.767)	Data 0.001 (0.003)	Loss 2.9258 (2.7706)	Prec@1 33.594 (33.942)	Prec@5 63.281 (64.344)
Epoch: [12][2070/14090]	Time 0.860 (0.768)	Data 0.001 (0.003)	Loss 2.5931 (2.7705)	Prec@1 39.844 (33.951)	Prec@5 68.750 (64.345)
Epoch: [12][2080/14090]	Time 0.727 (0.767)	Data 0.001 (0.003)	Loss 3.1581 (2.7706)	Prec@1 27.344 (33.950)	Prec@5 57.031 (64.341)
Epoch: [12][2090/14090]	Time 0.731 (0.767)	Data 0.001 (0.003)	Loss 2.9289 (2.7709)	Prec@1 29.688 (33.937)	Prec@5 61.719 (64.347)
Epoch: [12][2100/14090]	Time 0.759 (0.767)	Data 0.001 (0.003)	Loss 3.0305 (2.7709)	Prec@1 31.250 (33.932)	Prec@5 57.031 (64.348)
Epoch: [12][2110/14090]	Time 0.736 (0.767)	Data 0.001 (0.003)	Loss 2.8479 (2.7707)	Prec@1 32.031 (33.935)	Prec@5 64.844 (64.350)
Epoch: [12][2120/14090]	Time 0.756 (0.767)	Data 0.001 (0.003)	Loss 2.6770 (2.7708)	Prec@1 39.062 (33.938)	Prec@5 63.281 (64.347)
Epoch: [12][2130/14090]	Time 0.729 (0.767)	Data 0.001 (0.003)	Loss 2.8776 (2.7709)	Prec@1 36.719 (33.944)	Prec@5 62.500 (64.346)
Epoch: [12][2140/14090]	Time 0.863 (0.767)	Data 0.001 (0.003)	Loss 2.7520 (2.7709)	Prec@1 34.375 (33.937)	Prec@5 65.625 (64.345)
Epoch: [12][2150/14090]	Time 0.735 (0.767)	Data 0.001 (0.003)	Loss 3.0299 (2.7711)	Prec@1 28.906 (33.933)	Prec@5 60.156 (64.340)
Epoch: [12][2160/14090]	Time 0.791 (0.767)	Data 0.001 (0.003)	Loss 2.6515 (2.7710)	Prec@1 40.625 (33.944)	Prec@5 67.969 (64.343)
Epoch: [12][2170/14090]	Time 0.723 (0.767)	Data 0.001 (0.003)	Loss 2.6305 (2.7707)	Prec@1 35.156 (33.947)	Prec@5 67.188 (64.344)
Epoch: [12][2180/14090]	Time 0.730 (0.767)	Data 0.001 (0.003)	Loss 2.8868 (2.7708)	Prec@1 31.250 (33.951)	Prec@5 62.500 (64.351)
Epoch: [12][2190/14090]	Time 0.759 (0.767)	Data 0.001 (0.003)	Loss 2.6819 (2.7708)	Prec@1 34.375 (33.954)	Prec@5 61.719 (64.341)
Epoch: [12][2200/14090]	Time 0.744 (0.767)	Data 0.001 (0.003)	Loss 2.6576 (2.7709)	Prec@1 39.844 (33.953)	Prec@5 67.188 (64.344)
Epoch: [12][2210/14090]	Time 0.869 (0.767)	Data 0.001 (0.003)	Loss 2.4434 (2.7706)	Prec@1 42.969 (33.962)	Prec@5 67.188 (64.346)
Epoch: [12][2220/14090]	Time 0.733 (0.767)	Data 0.001 (0.003)	Loss 2.9414 (2.7707)	Prec@1 32.031 (33.958)	Prec@5 57.031 (64.338)
Epoch: [12][2230/14090]	Time 0.755 (0.767)	Data 0.001 (0.003)	Loss 2.9550 (2.7709)	Prec@1 30.469 (33.959)	Prec@5 59.375 (64.334)
Epoch: [12][2240/14090]	Time 0.724 (0.767)	Data 0.001 (0.003)	Loss 2.8751 (2.7710)	Prec@1 32.812 (33.956)	Prec@5 56.250 (64.327)
Epoch: [12][2250/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 2.9163 (2.7713)	Prec@1 28.906 (33.955)	Prec@5 60.156 (64.322)
Epoch: [12][2260/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 2.7124 (2.7715)	Prec@1 33.594 (33.949)	Prec@5 64.844 (64.321)
Epoch: [12][2270/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 2.9039 (2.7716)	Prec@1 29.688 (33.949)	Prec@5 60.156 (64.316)
Epoch: [12][2280/14090]	Time 0.894 (0.767)	Data 0.001 (0.002)	Loss 2.7454 (2.7716)	Prec@1 38.281 (33.955)	Prec@5 66.406 (64.313)
Epoch: [12][2290/14090]	Time 0.776 (0.767)	Data 0.001 (0.002)	Loss 3.0138 (2.7718)	Prec@1 30.469 (33.960)	Prec@5 61.719 (64.305)
Epoch: [12][2300/14090]	Time 0.782 (0.767)	Data 0.001 (0.002)	Loss 2.9530 (2.7716)	Prec@1 27.344 (33.963)	Prec@5 60.156 (64.308)
Epoch: [12][2310/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.9482 (2.7718)	Prec@1 31.250 (33.955)	Prec@5 60.938 (64.307)
Epoch: [12][2320/14090]	Time 0.763 (0.767)	Data 0.001 (0.002)	Loss 2.7559 (2.7719)	Prec@1 35.938 (33.956)	Prec@5 67.188 (64.307)
Epoch: [12][2330/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 2.8144 (2.7720)	Prec@1 32.031 (33.958)	Prec@5 60.938 (64.304)
Epoch: [12][2340/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 2.7834 (2.7714)	Prec@1 35.156 (33.966)	Prec@5 64.062 (64.311)
Epoch: [12][2350/14090]	Time 0.907 (0.767)	Data 0.001 (0.002)	Loss 2.8773 (2.7712)	Prec@1 34.375 (33.977)	Prec@5 64.062 (64.320)
Epoch: [12][2360/14090]	Time 0.774 (0.767)	Data 0.001 (0.002)	Loss 2.4970 (2.7708)	Prec@1 36.719 (33.984)	Prec@5 70.312 (64.325)
Epoch: [12][2370/14090]	Time 0.766 (0.767)	Data 0.002 (0.002)	Loss 2.6516 (2.7708)	Prec@1 35.156 (33.981)	Prec@5 67.969 (64.327)
Epoch: [12][2380/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 2.7070 (2.7706)	Prec@1 36.719 (33.988)	Prec@5 64.062 (64.333)
Epoch: [12][2390/14090]	Time 0.769 (0.767)	Data 0.001 (0.002)	Loss 2.9853 (2.7706)	Prec@1 29.688 (33.992)	Prec@5 60.938 (64.330)
Epoch: [12][2400/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 2.8878 (2.7708)	Prec@1 28.125 (33.988)	Prec@5 64.844 (64.322)
Epoch: [12][2410/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 3.1238 (2.7708)	Prec@1 27.344 (33.992)	Prec@5 54.688 (64.319)
Epoch: [12][2420/14090]	Time 0.857 (0.767)	Data 0.001 (0.002)	Loss 2.6811 (2.7710)	Prec@1 37.500 (33.985)	Prec@5 64.844 (64.320)
Epoch: [12][2430/14090]	Time 0.784 (0.767)	Data 0.001 (0.002)	Loss 2.8668 (2.7711)	Prec@1 34.375 (33.984)	Prec@5 61.719 (64.315)
Epoch: [12][2440/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 2.5946 (2.7710)	Prec@1 42.188 (33.987)	Prec@5 70.312 (64.321)
Epoch: [12][2450/14090]	Time 0.761 (0.767)	Data 0.001 (0.002)	Loss 2.6266 (2.7711)	Prec@1 39.844 (33.989)	Prec@5 67.188 (64.325)
Epoch: [12][2460/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 2.7774 (2.7713)	Prec@1 33.594 (33.987)	Prec@5 64.844 (64.321)
Epoch: [12][2470/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 2.7064 (2.7715)	Prec@1 33.594 (33.979)	Prec@5 67.969 (64.320)
Epoch: [12][2480/14090]	Time 0.762 (0.767)	Data 0.001 (0.002)	Loss 2.4381 (2.7710)	Prec@1 39.062 (33.982)	Prec@5 74.219 (64.328)
Epoch: [12][2490/14090]	Time 0.862 (0.767)	Data 0.001 (0.002)	Loss 2.5966 (2.7709)	Prec@1 33.594 (33.981)	Prec@5 69.531 (64.330)
Epoch: [12][2500/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 2.7277 (2.7709)	Prec@1 34.375 (33.979)	Prec@5 69.531 (64.332)
Epoch: [12][2510/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 2.6610 (2.7712)	Prec@1 30.469 (33.972)	Prec@5 68.750 (64.329)
Epoch: [12][2520/14090]	Time 0.782 (0.767)	Data 0.001 (0.002)	Loss 2.8094 (2.7718)	Prec@1 35.156 (33.966)	Prec@5 64.062 (64.320)
Epoch: [12][2530/14090]	Time 0.783 (0.767)	Data 0.001 (0.002)	Loss 2.6223 (2.7718)	Prec@1 35.938 (33.966)	Prec@5 64.062 (64.320)
Epoch: [12][2540/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.7552 (2.7721)	Prec@1 35.156 (33.963)	Prec@5 64.062 (64.320)
Epoch: [12][2550/14090]	Time 0.772 (0.767)	Data 0.001 (0.002)	Loss 2.6719 (2.7722)	Prec@1 33.594 (33.961)	Prec@5 69.531 (64.318)
Epoch: [12][2560/14090]	Time 0.880 (0.767)	Data 0.001 (0.002)	Loss 2.7882 (2.7724)	Prec@1 34.375 (33.956)	Prec@5 67.969 (64.312)
Epoch: [12][2570/14090]	Time 0.766 (0.767)	Data 0.001 (0.002)	Loss 2.9504 (2.7725)	Prec@1 30.469 (33.954)	Prec@5 60.156 (64.307)
Epoch: [12][2580/14090]	Time 0.777 (0.767)	Data 0.001 (0.002)	Loss 2.8468 (2.7726)	Prec@1 32.031 (33.954)	Prec@5 64.844 (64.303)
Epoch: [12][2590/14090]	Time 0.771 (0.767)	Data 0.001 (0.002)	Loss 2.8575 (2.7732)	Prec@1 34.375 (33.945)	Prec@5 67.188 (64.292)
Epoch: [12][2600/14090]	Time 0.775 (0.767)	Data 0.001 (0.002)	Loss 2.7576 (2.7733)	Prec@1 32.031 (33.948)	Prec@5 62.500 (64.292)
Epoch: [12][2610/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 2.7313 (2.7734)	Prec@1 36.719 (33.950)	Prec@5 64.844 (64.288)
Epoch: [12][2620/14090]	Time 0.780 (0.767)	Data 0.001 (0.002)	Loss 2.5412 (2.7733)	Prec@1 36.719 (33.942)	Prec@5 67.188 (64.285)
Epoch: [12][2630/14090]	Time 0.865 (0.767)	Data 0.001 (0.002)	Loss 2.9084 (2.7731)	Prec@1 32.031 (33.952)	Prec@5 60.156 (64.287)
Epoch: [12][2640/14090]	Time 0.795 (0.767)	Data 0.001 (0.002)	Loss 2.6567 (2.7731)	Prec@1 37.500 (33.957)	Prec@5 67.188 (64.285)
Epoch: [12][2650/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 2.4868 (2.7730)	Prec@1 42.188 (33.962)	Prec@5 65.625 (64.286)
Epoch: [12][2660/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 2.8110 (2.7732)	Prec@1 35.156 (33.957)	Prec@5 62.500 (64.286)
Epoch: [12][2670/14090]	Time 0.778 (0.767)	Data 0.001 (0.002)	Loss 2.9370 (2.7732)	Prec@1 32.812 (33.958)	Prec@5 60.156 (64.285)
Epoch: [12][2680/14090]	Time 0.762 (0.767)	Data 0.001 (0.002)	Loss 2.8725 (2.7735)	Prec@1 30.469 (33.950)	Prec@5 63.281 (64.280)
Epoch: [12][2690/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 2.6866 (2.7734)	Prec@1 30.469 (33.951)	Prec@5 67.188 (64.284)
Epoch: [12][2700/14090]	Time 0.850 (0.767)	Data 0.001 (0.002)	Loss 2.7830 (2.7733)	Prec@1 30.469 (33.952)	Prec@5 67.188 (64.295)
Epoch: [12][2710/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 2.7909 (2.7732)	Prec@1 31.250 (33.953)	Prec@5 63.281 (64.291)
Epoch: [12][2720/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 2.6404 (2.7733)	Prec@1 39.062 (33.951)	Prec@5 62.500 (64.285)
Epoch: [12][2730/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 2.5250 (2.7731)	Prec@1 38.281 (33.959)	Prec@5 69.531 (64.288)
Epoch: [12][2740/14090]	Time 0.728 (0.767)	Data 0.001 (0.002)	Loss 2.6603 (2.7733)	Prec@1 34.375 (33.953)	Prec@5 67.188 (64.284)
Epoch: [12][2750/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 2.5790 (2.7732)	Prec@1 35.938 (33.962)	Prec@5 66.406 (64.286)
Epoch: [12][2760/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 2.7823 (2.7730)	Prec@1 37.500 (33.971)	Prec@5 64.062 (64.293)
Epoch: [12][2770/14090]	Time 0.899 (0.767)	Data 0.001 (0.002)	Loss 3.2989 (2.7730)	Prec@1 30.469 (33.977)	Prec@5 52.344 (64.291)
Epoch: [12][2780/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 2.5522 (2.7727)	Prec@1 41.406 (33.985)	Prec@5 64.062 (64.298)
Epoch: [12][2790/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 3.0391 (2.7728)	Prec@1 25.781 (33.982)	Prec@5 55.469 (64.296)
Epoch: [12][2800/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 2.6856 (2.7730)	Prec@1 35.938 (33.982)	Prec@5 63.281 (64.291)
Epoch: [12][2810/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 2.4240 (2.7728)	Prec@1 39.062 (33.986)	Prec@5 68.750 (64.291)
Epoch: [12][2820/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 2.5436 (2.7727)	Prec@1 37.500 (33.991)	Prec@5 69.531 (64.297)
Epoch: [12][2830/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 2.6220 (2.7729)	Prec@1 41.406 (33.990)	Prec@5 64.844 (64.294)
Epoch: [12][2840/14090]	Time 0.881 (0.767)	Data 0.001 (0.002)	Loss 2.5432 (2.7725)	Prec@1 37.500 (33.997)	Prec@5 71.094 (64.300)
Epoch: [12][2850/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 2.4738 (2.7722)	Prec@1 41.406 (34.003)	Prec@5 70.312 (64.304)
Epoch: [12][2860/14090]	Time 0.774 (0.767)	Data 0.001 (0.002)	Loss 2.8051 (2.7724)	Prec@1 32.812 (34.001)	Prec@5 66.406 (64.303)
Epoch: [12][2870/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 2.8401 (2.7725)	Prec@1 28.906 (33.996)	Prec@5 64.062 (64.301)
Epoch: [12][2880/14090]	Time 0.727 (0.767)	Data 0.001 (0.002)	Loss 2.8818 (2.7724)	Prec@1 36.719 (33.999)	Prec@5 60.156 (64.301)
Epoch: [12][2890/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 2.9457 (2.7724)	Prec@1 32.812 (34.002)	Prec@5 62.500 (64.299)
Epoch: [12][2900/14090]	Time 0.771 (0.767)	Data 0.001 (0.002)	Loss 2.8664 (2.7726)	Prec@1 39.062 (34.002)	Prec@5 59.375 (64.295)
Epoch: [12][2910/14090]	Time 0.838 (0.767)	Data 0.001 (0.002)	Loss 2.7247 (2.7724)	Prec@1 35.156 (34.002)	Prec@5 64.062 (64.295)
Epoch: [12][2920/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 2.9410 (2.7723)	Prec@1 31.250 (34.001)	Prec@5 60.156 (64.300)
Epoch: [12][2930/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 2.6700 (2.7725)	Prec@1 33.594 (33.999)	Prec@5 69.531 (64.295)
Epoch: [12][2940/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 2.7242 (2.7726)	Prec@1 34.375 (33.993)	Prec@5 62.500 (64.299)
Epoch: [12][2950/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 3.0460 (2.7727)	Prec@1 35.938 (33.992)	Prec@5 60.156 (64.296)
Epoch: [12][2960/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 2.9388 (2.7725)	Prec@1 35.938 (33.997)	Prec@5 62.500 (64.300)
Epoch: [12][2970/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 2.6518 (2.7725)	Prec@1 35.938 (33.996)	Prec@5 66.406 (64.303)
Epoch: [12][2980/14090]	Time 0.867 (0.767)	Data 0.001 (0.002)	Loss 2.7445 (2.7725)	Prec@1 30.469 (34.002)	Prec@5 67.188 (64.302)
Epoch: [12][2990/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 2.7303 (2.7725)	Prec@1 34.375 (34.000)	Prec@5 64.844 (64.296)
Epoch: [12][3000/14090]	Time 0.783 (0.767)	Data 0.001 (0.002)	Loss 2.7612 (2.7727)	Prec@1 30.469 (33.996)	Prec@5 65.625 (64.293)
Epoch: [12][3010/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 2.9353 (2.7731)	Prec@1 32.031 (33.994)	Prec@5 57.812 (64.285)
Epoch: [12][3020/14090]	Time 0.770 (0.767)	Data 0.001 (0.002)	Loss 2.4410 (2.7729)	Prec@1 41.406 (34.000)	Prec@5 71.094 (64.286)
Epoch: [12][3030/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 2.9056 (2.7730)	Prec@1 34.375 (33.996)	Prec@5 62.500 (64.284)
Epoch: [12][3040/14090]	Time 0.797 (0.767)	Data 0.001 (0.002)	Loss 2.7581 (2.7729)	Prec@1 32.031 (33.995)	Prec@5 64.844 (64.283)
Epoch: [12][3050/14090]	Time 0.859 (0.767)	Data 0.001 (0.002)	Loss 2.6154 (2.7729)	Prec@1 42.969 (34.000)	Prec@5 68.750 (64.280)
Epoch: [12][3060/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 2.5393 (2.7726)	Prec@1 35.938 (34.005)	Prec@5 69.531 (64.286)
Epoch: [12][3070/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 2.8065 (2.7727)	Prec@1 29.688 (34.003)	Prec@5 65.625 (64.285)
Epoch: [12][3080/14090]	Time 0.765 (0.767)	Data 0.001 (0.002)	Loss 2.6550 (2.7726)	Prec@1 35.156 (34.004)	Prec@5 70.312 (64.289)
Epoch: [12][3090/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 2.7863 (2.7723)	Prec@1 31.250 (34.009)	Prec@5 63.281 (64.296)
Epoch: [12][3100/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 2.5748 (2.7720)	Prec@1 39.062 (34.014)	Prec@5 72.656 (64.301)
Epoch: [12][3110/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 2.6628 (2.7717)	Prec@1 35.938 (34.016)	Prec@5 67.188 (64.304)
Epoch: [12][3120/14090]	Time 0.878 (0.767)	Data 0.001 (0.002)	Loss 2.4376 (2.7712)	Prec@1 39.062 (34.028)	Prec@5 70.312 (64.311)
Epoch: [12][3130/14090]	Time 0.722 (0.767)	Data 0.003 (0.002)	Loss 2.8767 (2.7714)	Prec@1 31.250 (34.025)	Prec@5 60.156 (64.306)
Epoch: [12][3140/14090]	Time 0.724 (0.767)	Data 0.001 (0.002)	Loss 2.6916 (2.7714)	Prec@1 35.156 (34.027)	Prec@5 63.281 (64.305)
Epoch: [12][3150/14090]	Time 0.766 (0.767)	Data 0.001 (0.002)	Loss 3.0715 (2.7718)	Prec@1 25.000 (34.016)	Prec@5 61.719 (64.298)
Epoch: [12][3160/14090]	Time 0.786 (0.767)	Data 0.001 (0.002)	Loss 2.4080 (2.7717)	Prec@1 37.500 (34.017)	Prec@5 70.312 (64.301)
Epoch: [12][3170/14090]	Time 0.757 (0.767)	Data 0.001 (0.002)	Loss 2.8763 (2.7717)	Prec@1 37.500 (34.016)	Prec@5 64.062 (64.303)
Epoch: [12][3180/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 3.3195 (2.7720)	Prec@1 26.562 (34.007)	Prec@5 50.781 (64.299)
Epoch: [12][3190/14090]	Time 0.855 (0.767)	Data 0.001 (0.002)	Loss 2.6289 (2.7718)	Prec@1 35.938 (34.008)	Prec@5 71.875 (64.303)
Epoch: [12][3200/14090]	Time 0.726 (0.767)	Data 0.001 (0.002)	Loss 2.9190 (2.7719)	Prec@1 34.375 (34.011)	Prec@5 56.250 (64.300)
Epoch: [12][3210/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 2.5958 (2.7717)	Prec@1 39.062 (34.017)	Prec@5 64.062 (64.301)
Epoch: [12][3220/14090]	Time 0.776 (0.767)	Data 0.001 (0.002)	Loss 2.9855 (2.7718)	Prec@1 28.906 (34.017)	Prec@5 57.812 (64.300)
Epoch: [12][3230/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 2.7673 (2.7718)	Prec@1 30.469 (34.014)	Prec@5 64.844 (64.301)
Epoch: [12][3240/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 2.7887 (2.7716)	Prec@1 39.062 (34.022)	Prec@5 60.156 (64.305)
Epoch: [12][3250/14090]	Time 0.767 (0.767)	Data 0.001 (0.002)	Loss 2.7456 (2.7717)	Prec@1 32.031 (34.022)	Prec@5 67.188 (64.304)
Epoch: [12][3260/14090]	Time 0.874 (0.767)	Data 0.001 (0.002)	Loss 2.8772 (2.7721)	Prec@1 27.344 (34.015)	Prec@5 63.281 (64.295)
Epoch: [12][3270/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 2.8033 (2.7721)	Prec@1 34.375 (34.016)	Prec@5 60.938 (64.288)
Epoch: [12][3280/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 2.7848 (2.7721)	Prec@1 32.031 (34.017)	Prec@5 63.281 (64.287)
Epoch: [12][3290/14090]	Time 0.764 (0.767)	Data 0.001 (0.002)	Loss 2.6267 (2.7722)	Prec@1 42.969 (34.013)	Prec@5 65.625 (64.284)
Epoch: [12][3300/14090]	Time 0.728 (0.767)	Data 0.001 (0.002)	Loss 2.6719 (2.7725)	Prec@1 41.406 (34.003)	Prec@5 64.844 (64.279)
Epoch: [12][3310/14090]	Time 0.763 (0.767)	Data 0.001 (0.002)	Loss 3.0152 (2.7726)	Prec@1 31.250 (34.005)	Prec@5 56.250 (64.274)
Epoch: [12][3320/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 2.8616 (2.7727)	Prec@1 32.812 (34.000)	Prec@5 62.500 (64.274)
Epoch: [12][3330/14090]	Time 0.861 (0.768)	Data 0.001 (0.002)	Loss 2.8377 (2.7725)	Prec@1 36.719 (34.006)	Prec@5 66.406 (64.277)
Epoch: [12][3340/14090]	Time 0.727 (0.767)	Data 0.001 (0.002)	Loss 2.8310 (2.7723)	Prec@1 32.031 (34.009)	Prec@5 66.406 (64.284)
Epoch: [12][3350/14090]	Time 0.720 (0.767)	Data 0.001 (0.002)	Loss 2.9989 (2.7721)	Prec@1 29.688 (34.011)	Prec@5 64.062 (64.288)
Epoch: [12][3360/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 2.5163 (2.7726)	Prec@1 33.594 (33.999)	Prec@5 70.312 (64.279)
Epoch: [12][3370/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 2.6613 (2.7723)	Prec@1 34.375 (34.000)	Prec@5 65.625 (64.288)
Epoch: [12][3380/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 2.6030 (2.7721)	Prec@1 31.250 (34.004)	Prec@5 74.219 (64.298)
Epoch: [12][3390/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 2.9693 (2.7723)	Prec@1 23.438 (34.000)	Prec@5 64.844 (64.292)
Epoch: [12][3400/14090]	Time 0.866 (0.768)	Data 0.001 (0.002)	Loss 2.5503 (2.7725)	Prec@1 33.594 (33.989)	Prec@5 68.750 (64.289)
Epoch: [12][3410/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 2.4608 (2.7723)	Prec@1 35.156 (33.992)	Prec@5 68.750 (64.293)
Epoch: [12][3420/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 2.9470 (2.7721)	Prec@1 33.594 (33.995)	Prec@5 60.938 (64.295)
Epoch: [12][3430/14090]	Time 0.726 (0.767)	Data 0.001 (0.002)	Loss 2.6707 (2.7719)	Prec@1 35.156 (33.999)	Prec@5 67.188 (64.297)
Epoch: [12][3440/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 2.6913 (2.7720)	Prec@1 36.719 (34.001)	Prec@5 63.281 (64.296)
Epoch: [12][3450/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 2.7556 (2.7721)	Prec@1 37.500 (34.003)	Prec@5 63.281 (64.292)
Epoch: [12][3460/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.7433 (2.7721)	Prec@1 32.031 (34.001)	Prec@5 65.625 (64.290)
Epoch: [12][3470/14090]	Time 0.852 (0.767)	Data 0.001 (0.002)	Loss 2.6016 (2.7720)	Prec@1 38.281 (34.000)	Prec@5 64.844 (64.293)
Epoch: [12][3480/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 2.8135 (2.7718)	Prec@1 31.250 (33.999)	Prec@5 66.406 (64.293)
Epoch: [12][3490/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 2.8701 (2.7719)	Prec@1 32.812 (34.003)	Prec@5 62.500 (64.291)
Epoch: [12][3500/14090]	Time 0.724 (0.767)	Data 0.001 (0.002)	Loss 2.5637 (2.7717)	Prec@1 39.062 (34.010)	Prec@5 71.875 (64.296)
Epoch: [12][3510/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 2.9552 (2.7715)	Prec@1 31.250 (34.015)	Prec@5 59.375 (64.301)
Epoch: [12][3520/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 2.8808 (2.7713)	Prec@1 26.562 (34.012)	Prec@5 58.594 (64.305)
Epoch: [12][3530/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 2.8429 (2.7714)	Prec@1 31.250 (34.012)	Prec@5 61.719 (64.302)
Epoch: [12][3540/14090]	Time 0.861 (0.767)	Data 0.001 (0.002)	Loss 2.7749 (2.7715)	Prec@1 32.812 (34.012)	Prec@5 66.406 (64.301)
Epoch: [12][3550/14090]	Time 0.757 (0.767)	Data 0.001 (0.002)	Loss 2.7185 (2.7716)	Prec@1 39.062 (34.017)	Prec@5 63.281 (64.296)
Epoch: [12][3560/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 2.6612 (2.7716)	Prec@1 34.375 (34.018)	Prec@5 65.625 (64.292)
Epoch: [12][3570/14090]	Time 0.793 (0.767)	Data 0.002 (0.002)	Loss 2.6894 (2.7717)	Prec@1 34.375 (34.015)	Prec@5 67.969 (64.292)
Epoch: [12][3580/14090]	Time 0.762 (0.767)	Data 0.001 (0.002)	Loss 3.0397 (2.7718)	Prec@1 28.125 (34.015)	Prec@5 58.594 (64.290)
Epoch: [12][3590/14090]	Time 0.778 (0.767)	Data 0.001 (0.002)	Loss 2.8104 (2.7717)	Prec@1 38.281 (34.015)	Prec@5 60.156 (64.291)
Epoch: [12][3600/14090]	Time 0.731 (0.767)	Data 0.001 (0.002)	Loss 2.7752 (2.7718)	Prec@1 33.594 (34.014)	Prec@5 69.531 (64.292)
Epoch: [12][3610/14090]	Time 0.883 (0.767)	Data 0.001 (0.002)	Loss 2.6494 (2.7719)	Prec@1 35.938 (34.012)	Prec@5 64.844 (64.288)
Epoch: [12][3620/14090]	Time 0.782 (0.767)	Data 0.001 (0.002)	Loss 2.9682 (2.7720)	Prec@1 31.250 (34.008)	Prec@5 61.719 (64.289)
Epoch: [12][3630/14090]	Time 0.760 (0.767)	Data 0.001 (0.002)	Loss 3.0060 (2.7721)	Prec@1 29.688 (34.004)	Prec@5 57.031 (64.284)
Epoch: [12][3640/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 2.8283 (2.7722)	Prec@1 31.250 (33.997)	Prec@5 63.281 (64.278)
Epoch: [12][3650/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 2.6189 (2.7722)	Prec@1 35.156 (34.002)	Prec@5 70.312 (64.281)
Epoch: [12][3660/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 2.8802 (2.7723)	Prec@1 33.594 (34.002)	Prec@5 58.594 (64.275)
Epoch: [12][3670/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 2.6064 (2.7720)	Prec@1 31.250 (34.003)	Prec@5 71.094 (64.283)
Epoch: [12][3680/14090]	Time 0.854 (0.767)	Data 0.001 (0.002)	Loss 2.5929 (2.7721)	Prec@1 40.625 (34.002)	Prec@5 64.844 (64.284)
Epoch: [12][3690/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 2.5753 (2.7721)	Prec@1 41.406 (34.000)	Prec@5 69.531 (64.289)
Epoch: [12][3700/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 2.9822 (2.7722)	Prec@1 28.125 (33.997)	Prec@5 61.719 (64.290)
Epoch: [12][3710/14090]	Time 0.720 (0.767)	Data 0.001 (0.002)	Loss 2.6177 (2.7720)	Prec@1 39.844 (33.998)	Prec@5 67.188 (64.290)
Epoch: [12][3720/14090]	Time 0.764 (0.767)	Data 0.001 (0.002)	Loss 2.8725 (2.7719)	Prec@1 28.906 (33.994)	Prec@5 59.375 (64.292)
Epoch: [12][3730/14090]	Time 0.760 (0.767)	Data 0.001 (0.002)	Loss 2.8017 (2.7718)	Prec@1 29.688 (33.994)	Prec@5 64.062 (64.293)
Epoch: [12][3740/14090]	Time 0.770 (0.767)	Data 0.001 (0.002)	Loss 2.8544 (2.7717)	Prec@1 35.156 (33.994)	Prec@5 67.188 (64.295)
Epoch: [12][3750/14090]	Time 0.902 (0.767)	Data 0.001 (0.002)	Loss 2.6987 (2.7718)	Prec@1 39.062 (33.997)	Prec@5 69.531 (64.293)
Epoch: [12][3760/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 2.8219 (2.7717)	Prec@1 31.250 (33.996)	Prec@5 64.062 (64.294)
Epoch: [12][3770/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 2.6170 (2.7716)	Prec@1 41.406 (34.002)	Prec@5 64.844 (64.293)
Epoch: [12][3780/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 2.7266 (2.7717)	Prec@1 30.469 (34.001)	Prec@5 66.406 (64.291)
Epoch: [12][3790/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 2.5997 (2.7719)	Prec@1 36.719 (33.998)	Prec@5 68.750 (64.289)
Epoch: [12][3800/14090]	Time 0.731 (0.767)	Data 0.001 (0.002)	Loss 2.9405 (2.7720)	Prec@1 32.031 (34.000)	Prec@5 60.156 (64.286)
Epoch: [12][3810/14090]	Time 0.781 (0.767)	Data 0.001 (0.002)	Loss 2.8556 (2.7719)	Prec@1 34.375 (34.004)	Prec@5 60.938 (64.287)
Epoch: [12][3820/14090]	Time 0.882 (0.767)	Data 0.001 (0.002)	Loss 2.8731 (2.7720)	Prec@1 30.469 (34.001)	Prec@5 61.719 (64.282)
Epoch: [12][3830/14090]	Time 0.767 (0.767)	Data 0.001 (0.002)	Loss 2.7284 (2.7721)	Prec@1 35.938 (34.004)	Prec@5 68.750 (64.284)
Epoch: [12][3840/14090]	Time 0.775 (0.767)	Data 0.001 (0.002)	Loss 2.8137 (2.7721)	Prec@1 38.281 (34.004)	Prec@5 63.281 (64.285)
Epoch: [12][3850/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 2.6962 (2.7722)	Prec@1 35.156 (33.998)	Prec@5 63.281 (64.283)
Epoch: [12][3860/14090]	Time 0.774 (0.767)	Data 0.001 (0.002)	Loss 2.8729 (2.7721)	Prec@1 34.375 (34.002)	Prec@5 61.719 (64.285)
Epoch: [12][3870/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 2.7157 (2.7721)	Prec@1 32.812 (34.003)	Prec@5 62.500 (64.289)
Epoch: [12][3880/14090]	Time 0.791 (0.767)	Data 0.001 (0.002)	Loss 3.1706 (2.7719)	Prec@1 25.781 (34.006)	Prec@5 56.250 (64.294)
Epoch: [12][3890/14090]	Time 0.860 (0.767)	Data 0.001 (0.002)	Loss 2.7142 (2.7720)	Prec@1 32.031 (34.004)	Prec@5 62.500 (64.292)
Epoch: [12][3900/14090]	Time 0.731 (0.767)	Data 0.001 (0.002)	Loss 2.8360 (2.7720)	Prec@1 28.125 (33.999)	Prec@5 65.625 (64.292)
Epoch: [12][3910/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 2.8681 (2.7721)	Prec@1 33.594 (34.001)	Prec@5 65.625 (64.291)
Epoch: [12][3920/14090]	Time 0.783 (0.767)	Data 0.001 (0.002)	Loss 2.6674 (2.7721)	Prec@1 35.156 (34.003)	Prec@5 69.531 (64.291)
Epoch: [12][3930/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.8088 (2.7723)	Prec@1 29.688 (33.997)	Prec@5 64.062 (64.289)
Epoch: [12][3940/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 2.8642 (2.7723)	Prec@1 28.125 (33.997)	Prec@5 62.500 (64.288)
Epoch: [12][3950/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 2.9909 (2.7724)	Prec@1 30.469 (33.997)	Prec@5 61.719 (64.288)
Epoch: [12][3960/14090]	Time 0.893 (0.767)	Data 0.001 (0.002)	Loss 2.7317 (2.7724)	Prec@1 34.375 (33.996)	Prec@5 70.312 (64.289)
Epoch: [12][3970/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 2.5503 (2.7725)	Prec@1 38.281 (33.994)	Prec@5 70.312 (64.286)
Epoch: [12][3980/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.8935 (2.7725)	Prec@1 31.250 (33.992)	Prec@5 64.062 (64.286)
Epoch: [12][3990/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 2.7387 (2.7726)	Prec@1 39.062 (33.995)	Prec@5 64.062 (64.285)
Epoch: [12][4000/14090]	Time 0.750 (0.768)	Data 0.001 (0.002)	Loss 2.4995 (2.7727)	Prec@1 41.406 (33.992)	Prec@5 71.875 (64.283)
Epoch: [12][4010/14090]	Time 0.739 (0.768)	Data 0.001 (0.002)	Loss 2.9339 (2.7729)	Prec@1 35.938 (33.987)	Prec@5 60.938 (64.280)
Epoch: [12][4020/14090]	Time 0.784 (0.768)	Data 0.001 (0.002)	Loss 2.9495 (2.7729)	Prec@1 31.250 (33.981)	Prec@5 60.156 (64.277)
Epoch: [12][4030/14090]	Time 0.867 (0.768)	Data 0.001 (0.002)	Loss 2.7667 (2.7731)	Prec@1 43.750 (33.979)	Prec@5 62.500 (64.271)
Epoch: [12][4040/14090]	Time 0.785 (0.768)	Data 0.001 (0.002)	Loss 2.6114 (2.7731)	Prec@1 32.812 (33.977)	Prec@5 67.188 (64.273)
Epoch: [12][4050/14090]	Time 0.741 (0.768)	Data 0.001 (0.002)	Loss 2.5171 (2.7731)	Prec@1 39.844 (33.976)	Prec@5 67.188 (64.274)
Epoch: [12][4060/14090]	Time 0.729 (0.768)	Data 0.001 (0.002)	Loss 2.7527 (2.7732)	Prec@1 34.375 (33.976)	Prec@5 65.625 (64.274)
Epoch: [12][4070/14090]	Time 0.736 (0.768)	Data 0.001 (0.002)	Loss 2.5181 (2.7731)	Prec@1 39.062 (33.979)	Prec@5 71.875 (64.274)
Epoch: [12][4080/14090]	Time 0.733 (0.768)	Data 0.001 (0.002)	Loss 2.6916 (2.7733)	Prec@1 35.156 (33.973)	Prec@5 59.375 (64.270)
Epoch: [12][4090/14090]	Time 0.754 (0.768)	Data 0.001 (0.002)	Loss 2.8974 (2.7734)	Prec@1 31.250 (33.971)	Prec@5 57.812 (64.270)
Epoch: [12][4100/14090]	Time 0.840 (0.768)	Data 0.001 (0.002)	Loss 2.7970 (2.7733)	Prec@1 24.219 (33.974)	Prec@5 60.938 (64.271)
Epoch: [12][4110/14090]	Time 0.745 (0.768)	Data 0.001 (0.002)	Loss 2.9990 (2.7734)	Prec@1 29.688 (33.968)	Prec@5 59.375 (64.266)
Epoch: [12][4120/14090]	Time 0.731 (0.767)	Data 0.001 (0.002)	Loss 2.7653 (2.7736)	Prec@1 33.594 (33.968)	Prec@5 64.062 (64.259)
Epoch: [12][4130/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 2.8514 (2.7735)	Prec@1 28.906 (33.969)	Prec@5 64.844 (64.261)
Epoch: [12][4140/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 2.7400 (2.7735)	Prec@1 37.500 (33.968)	Prec@5 64.062 (64.262)
Epoch: [12][4150/14090]	Time 0.757 (0.767)	Data 0.001 (0.002)	Loss 2.7024 (2.7734)	Prec@1 38.281 (33.970)	Prec@5 64.844 (64.265)
Epoch: [12][4160/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 2.5974 (2.7736)	Prec@1 42.188 (33.969)	Prec@5 66.406 (64.262)
Epoch: [12][4170/14090]	Time 0.859 (0.768)	Data 0.001 (0.002)	Loss 2.5304 (2.7737)	Prec@1 38.281 (33.964)	Prec@5 66.406 (64.258)
Epoch: [12][4180/14090]	Time 0.767 (0.768)	Data 0.001 (0.002)	Loss 2.7978 (2.7736)	Prec@1 32.812 (33.968)	Prec@5 62.500 (64.259)
Epoch: [12][4190/14090]	Time 0.780 (0.767)	Data 0.001 (0.002)	Loss 2.9134 (2.7738)	Prec@1 32.031 (33.962)	Prec@5 63.281 (64.256)
Epoch: [12][4200/14090]	Time 0.725 (0.768)	Data 0.001 (0.002)	Loss 2.7296 (2.7737)	Prec@1 31.250 (33.966)	Prec@5 64.062 (64.259)
Epoch: [12][4210/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 3.0505 (2.7737)	Prec@1 28.125 (33.969)	Prec@5 58.594 (64.259)
Epoch: [12][4220/14090]	Time 0.756 (0.768)	Data 0.001 (0.002)	Loss 3.1203 (2.7738)	Prec@1 26.562 (33.966)	Prec@5 60.156 (64.257)
Epoch: [12][4230/14090]	Time 0.745 (0.768)	Data 0.001 (0.002)	Loss 2.4760 (2.7738)	Prec@1 42.188 (33.963)	Prec@5 72.656 (64.256)
Epoch: [12][4240/14090]	Time 0.871 (0.768)	Data 0.001 (0.002)	Loss 2.7845 (2.7738)	Prec@1 35.938 (33.961)	Prec@5 67.969 (64.257)
Epoch: [12][4250/14090]	Time 0.729 (0.768)	Data 0.001 (0.002)	Loss 2.6688 (2.7736)	Prec@1 35.156 (33.964)	Prec@5 65.625 (64.262)
Epoch: [12][4260/14090]	Time 0.736 (0.768)	Data 0.001 (0.002)	Loss 2.7684 (2.7737)	Prec@1 33.594 (33.965)	Prec@5 61.719 (64.260)
Epoch: [12][4270/14090]	Time 0.780 (0.768)	Data 0.001 (0.002)	Loss 2.8728 (2.7738)	Prec@1 31.250 (33.963)	Prec@5 62.500 (64.259)
Epoch: [12][4280/14090]	Time 0.776 (0.768)	Data 0.001 (0.002)	Loss 2.6559 (2.7740)	Prec@1 39.062 (33.960)	Prec@5 64.062 (64.255)
Epoch: [12][4290/14090]	Time 0.758 (0.768)	Data 0.001 (0.002)	Loss 3.0100 (2.7741)	Prec@1 28.125 (33.954)	Prec@5 64.062 (64.254)
Epoch: [12][4300/14090]	Time 0.745 (0.768)	Data 0.001 (0.002)	Loss 2.7881 (2.7742)	Prec@1 35.938 (33.956)	Prec@5 65.625 (64.253)
Epoch: [12][4310/14090]	Time 0.846 (0.768)	Data 0.001 (0.002)	Loss 3.0220 (2.7743)	Prec@1 28.125 (33.949)	Prec@5 60.938 (64.253)
Epoch: [12][4320/14090]	Time 0.746 (0.768)	Data 0.001 (0.002)	Loss 2.7799 (2.7742)	Prec@1 35.938 (33.951)	Prec@5 60.938 (64.257)
Epoch: [12][4330/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 2.8353 (2.7744)	Prec@1 28.125 (33.944)	Prec@5 63.281 (64.255)
Epoch: [12][4340/14090]	Time 0.768 (0.767)	Data 0.001 (0.002)	Loss 2.8759 (2.7743)	Prec@1 37.500 (33.949)	Prec@5 60.938 (64.253)
Epoch: [12][4350/14090]	Time 0.761 (0.767)	Data 0.001 (0.002)	Loss 2.7729 (2.7743)	Prec@1 39.844 (33.952)	Prec@5 69.531 (64.257)
Epoch: [12][4360/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.6252 (2.7742)	Prec@1 37.500 (33.954)	Prec@5 65.625 (64.256)
Epoch: [12][4370/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 2.6981 (2.7742)	Prec@1 33.594 (33.951)	Prec@5 68.750 (64.256)
Epoch: [12][4380/14090]	Time 0.867 (0.767)	Data 0.001 (0.002)	Loss 2.6827 (2.7743)	Prec@1 33.594 (33.953)	Prec@5 67.188 (64.256)
Epoch: [12][4390/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 2.6319 (2.7741)	Prec@1 35.938 (33.957)	Prec@5 65.625 (64.259)
Epoch: [12][4400/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 2.5010 (2.7740)	Prec@1 36.719 (33.959)	Prec@5 71.094 (64.259)
Epoch: [12][4410/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 2.7074 (2.7739)	Prec@1 40.625 (33.959)	Prec@5 64.062 (64.258)
Epoch: [12][4420/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.7044 (2.7739)	Prec@1 31.250 (33.955)	Prec@5 65.625 (64.259)
Epoch: [12][4430/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.7461 (2.7738)	Prec@1 35.156 (33.954)	Prec@5 65.625 (64.261)
Epoch: [12][4440/14090]	Time 0.778 (0.767)	Data 0.001 (0.002)	Loss 2.8305 (2.7739)	Prec@1 33.594 (33.955)	Prec@5 61.719 (64.257)
Epoch: [12][4450/14090]	Time 0.897 (0.767)	Data 0.001 (0.002)	Loss 3.0201 (2.7740)	Prec@1 34.375 (33.958)	Prec@5 59.375 (64.255)
Epoch: [12][4460/14090]	Time 0.763 (0.767)	Data 0.001 (0.002)	Loss 2.5755 (2.7740)	Prec@1 32.812 (33.956)	Prec@5 72.656 (64.255)
Epoch: [12][4470/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 2.6430 (2.7742)	Prec@1 35.938 (33.955)	Prec@5 66.406 (64.251)
Epoch: [12][4480/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.8308 (2.7741)	Prec@1 30.469 (33.956)	Prec@5 57.031 (64.250)
Epoch: [12][4490/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 2.6580 (2.7741)	Prec@1 32.812 (33.955)	Prec@5 64.062 (64.253)
Epoch: [12][4500/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 2.7631 (2.7739)	Prec@1 35.156 (33.958)	Prec@5 64.844 (64.256)
Epoch: [12][4510/14090]	Time 0.774 (0.767)	Data 0.001 (0.002)	Loss 2.6435 (2.7738)	Prec@1 35.938 (33.961)	Prec@5 66.406 (64.258)
Epoch: [12][4520/14090]	Time 0.871 (0.768)	Data 0.001 (0.002)	Loss 2.5629 (2.7736)	Prec@1 39.844 (33.965)	Prec@5 67.188 (64.261)
Epoch: [12][4530/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 2.7145 (2.7737)	Prec@1 35.156 (33.960)	Prec@5 66.406 (64.260)
Epoch: [12][4540/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 2.8147 (2.7737)	Prec@1 29.688 (33.960)	Prec@5 66.406 (64.262)
Epoch: [12][4550/14090]	Time 0.765 (0.767)	Data 0.001 (0.002)	Loss 2.3383 (2.7735)	Prec@1 44.531 (33.962)	Prec@5 75.781 (64.262)
Epoch: [12][4560/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 2.4378 (2.7738)	Prec@1 36.719 (33.958)	Prec@5 72.656 (64.261)
Epoch: [12][4570/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 2.8827 (2.7737)	Prec@1 36.719 (33.962)	Prec@5 61.719 (64.260)
Epoch: [12][4580/14090]	Time 0.728 (0.767)	Data 0.001 (0.002)	Loss 2.8130 (2.7737)	Prec@1 33.594 (33.963)	Prec@5 60.938 (64.259)
Epoch: [12][4590/14090]	Time 0.811 (0.768)	Data 0.001 (0.002)	Loss 2.6093 (2.7738)	Prec@1 41.406 (33.959)	Prec@5 71.094 (64.260)
Epoch: [12][4600/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 2.8045 (2.7738)	Prec@1 32.031 (33.958)	Prec@5 64.062 (64.259)
Epoch: [12][4610/14090]	Time 0.762 (0.767)	Data 0.001 (0.002)	Loss 2.6696 (2.7739)	Prec@1 37.500 (33.960)	Prec@5 65.625 (64.255)
Epoch: [12][4620/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 2.7841 (2.7739)	Prec@1 36.719 (33.965)	Prec@5 61.719 (64.254)
Epoch: [12][4630/14090]	Time 0.762 (0.767)	Data 0.001 (0.002)	Loss 2.8382 (2.7739)	Prec@1 37.500 (33.965)	Prec@5 65.625 (64.252)
Epoch: [12][4640/14090]	Time 0.760 (0.767)	Data 0.001 (0.002)	Loss 2.6052 (2.7738)	Prec@1 34.375 (33.968)	Prec@5 69.531 (64.258)
Epoch: [12][4650/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 2.6987 (2.7739)	Prec@1 36.719 (33.966)	Prec@5 67.188 (64.258)
Epoch: [12][4660/14090]	Time 0.890 (0.767)	Data 0.001 (0.002)	Loss 2.7038 (2.7739)	Prec@1 32.031 (33.965)	Prec@5 65.625 (64.260)
Epoch: [12][4670/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 2.6502 (2.7739)	Prec@1 32.031 (33.961)	Prec@5 67.188 (64.256)
Epoch: [12][4680/14090]	Time 0.778 (0.767)	Data 0.001 (0.002)	Loss 2.9229 (2.7742)	Prec@1 25.000 (33.955)	Prec@5 63.281 (64.253)
Epoch: [12][4690/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 2.7431 (2.7743)	Prec@1 32.031 (33.955)	Prec@5 60.156 (64.248)
Epoch: [12][4700/14090]	Time 0.782 (0.767)	Data 0.001 (0.002)	Loss 2.7594 (2.7743)	Prec@1 33.594 (33.956)	Prec@5 65.625 (64.249)
Epoch: [12][4710/14090]	Time 0.728 (0.767)	Data 0.001 (0.002)	Loss 2.6310 (2.7741)	Prec@1 39.062 (33.959)	Prec@5 64.844 (64.253)
Epoch: [12][4720/14090]	Time 0.767 (0.767)	Data 0.001 (0.002)	Loss 2.7919 (2.7742)	Prec@1 42.969 (33.958)	Prec@5 65.625 (64.251)
Epoch: [12][4730/14090]	Time 0.840 (0.767)	Data 0.001 (0.002)	Loss 2.8288 (2.7743)	Prec@1 31.250 (33.959)	Prec@5 63.281 (64.249)
Epoch: [12][4740/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 2.8142 (2.7743)	Prec@1 31.250 (33.961)	Prec@5 67.188 (64.251)
Epoch: [12][4750/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.6655 (2.7742)	Prec@1 39.062 (33.964)	Prec@5 59.375 (64.252)
Epoch: [12][4760/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 2.8134 (2.7744)	Prec@1 30.469 (33.954)	Prec@5 64.844 (64.246)
Epoch: [12][4770/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 2.7149 (2.7745)	Prec@1 33.594 (33.953)	Prec@5 64.844 (64.243)
Epoch: [12][4780/14090]	Time 0.772 (0.767)	Data 0.001 (0.002)	Loss 3.0315 (2.7745)	Prec@1 28.906 (33.952)	Prec@5 58.594 (64.246)
Epoch: [12][4790/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 3.1641 (2.7747)	Prec@1 28.906 (33.950)	Prec@5 57.812 (64.245)
Epoch: [12][4800/14090]	Time 0.863 (0.767)	Data 0.001 (0.002)	Loss 2.5851 (2.7747)	Prec@1 35.156 (33.948)	Prec@5 67.969 (64.248)
Epoch: [12][4810/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 2.8133 (2.7745)	Prec@1 30.469 (33.950)	Prec@5 61.719 (64.251)
Epoch: [12][4820/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 2.8688 (2.7746)	Prec@1 32.812 (33.952)	Prec@5 62.500 (64.249)
Epoch: [12][4830/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 3.0356 (2.7748)	Prec@1 31.250 (33.951)	Prec@5 60.156 (64.248)
Epoch: [12][4840/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 2.7737 (2.7747)	Prec@1 35.156 (33.955)	Prec@5 64.844 (64.251)
Epoch: [12][4850/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 2.6772 (2.7747)	Prec@1 32.031 (33.955)	Prec@5 62.500 (64.249)
Epoch: [12][4860/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 2.7513 (2.7746)	Prec@1 34.375 (33.957)	Prec@5 62.500 (64.253)
Epoch: [12][4870/14090]	Time 0.851 (0.767)	Data 0.001 (0.002)	Loss 2.6738 (2.7747)	Prec@1 39.844 (33.960)	Prec@5 67.969 (64.250)
Epoch: [12][4880/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 2.5429 (2.7746)	Prec@1 32.031 (33.956)	Prec@5 70.312 (64.249)
Epoch: [12][4890/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 2.7158 (2.7743)	Prec@1 31.250 (33.959)	Prec@5 65.625 (64.253)
Epoch: [12][4900/14090]	Time 0.762 (0.767)	Data 0.001 (0.002)	Loss 2.9406 (2.7745)	Prec@1 34.375 (33.957)	Prec@5 61.719 (64.249)
Epoch: [12][4910/14090]	Time 0.798 (0.767)	Data 0.001 (0.002)	Loss 2.9079 (2.7748)	Prec@1 28.125 (33.951)	Prec@5 60.938 (64.244)
Epoch: [12][4920/14090]	Time 0.760 (0.767)	Data 0.000 (0.002)	Loss 2.5901 (2.7747)	Prec@1 40.625 (33.953)	Prec@5 68.750 (64.247)
Epoch: [12][4930/14090]	Time 0.779 (0.767)	Data 0.001 (0.002)	Loss 2.9974 (2.7747)	Prec@1 32.812 (33.955)	Prec@5 60.938 (64.248)
Epoch: [12][4940/14090]	Time 0.854 (0.767)	Data 0.001 (0.002)	Loss 2.8582 (2.7748)	Prec@1 35.156 (33.953)	Prec@5 60.938 (64.245)
Epoch: [12][4950/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 2.7846 (2.7747)	Prec@1 36.719 (33.956)	Prec@5 64.844 (64.246)
Epoch: [12][4960/14090]	Time 0.778 (0.767)	Data 0.001 (0.002)	Loss 3.0195 (2.7750)	Prec@1 32.031 (33.952)	Prec@5 57.031 (64.241)
Epoch: [12][4970/14090]	Time 0.770 (0.767)	Data 0.001 (0.002)	Loss 2.8334 (2.7751)	Prec@1 31.250 (33.950)	Prec@5 62.500 (64.240)
Epoch: [12][4980/14090]	Time 0.771 (0.767)	Data 0.001 (0.002)	Loss 2.6617 (2.7750)	Prec@1 35.156 (33.952)	Prec@5 67.188 (64.242)
Epoch: [12][4990/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 2.5810 (2.7750)	Prec@1 42.188 (33.955)	Prec@5 64.844 (64.242)
Epoch: [12][5000/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 2.5205 (2.7750)	Prec@1 35.938 (33.956)	Prec@5 64.062 (64.238)
Epoch: [12][5010/14090]	Time 0.909 (0.767)	Data 0.001 (0.002)	Loss 2.9957 (2.7751)	Prec@1 36.719 (33.957)	Prec@5 58.594 (64.234)
Epoch: [12][5020/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 2.9957 (2.7753)	Prec@1 25.000 (33.950)	Prec@5 60.938 (64.229)
Epoch: [12][5030/14090]	Time 0.772 (0.767)	Data 0.001 (0.002)	Loss 2.5806 (2.7754)	Prec@1 35.938 (33.950)	Prec@5 70.312 (64.229)
Epoch: [12][5040/14090]	Time 0.773 (0.767)	Data 0.001 (0.002)	Loss 2.7245 (2.7754)	Prec@1 33.594 (33.950)	Prec@5 63.281 (64.229)
Epoch: [12][5050/14090]	Time 0.784 (0.767)	Data 0.001 (0.002)	Loss 2.6289 (2.7755)	Prec@1 36.719 (33.947)	Prec@5 63.281 (64.226)
Epoch: [12][5060/14090]	Time 0.728 (0.767)	Data 0.001 (0.002)	Loss 2.7098 (2.7754)	Prec@1 37.500 (33.949)	Prec@5 60.938 (64.228)
Epoch: [12][5070/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 2.7465 (2.7753)	Prec@1 33.594 (33.949)	Prec@5 65.625 (64.231)
Epoch: [12][5080/14090]	Time 0.897 (0.767)	Data 0.001 (0.002)	Loss 2.7981 (2.7752)	Prec@1 32.812 (33.954)	Prec@5 68.750 (64.237)
Epoch: [12][5090/14090]	Time 0.769 (0.767)	Data 0.001 (0.002)	Loss 2.7041 (2.7750)	Prec@1 38.281 (33.959)	Prec@5 64.062 (64.239)
Epoch: [12][5100/14090]	Time 0.787 (0.767)	Data 0.001 (0.002)	Loss 2.8324 (2.7750)	Prec@1 37.500 (33.960)	Prec@5 60.156 (64.243)
Epoch: [12][5110/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 2.8997 (2.7749)	Prec@1 33.594 (33.963)	Prec@5 61.719 (64.245)
Epoch: [12][5120/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 3.0425 (2.7748)	Prec@1 25.781 (33.965)	Prec@5 60.156 (64.248)
Epoch: [12][5130/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 2.7637 (2.7746)	Prec@1 31.250 (33.965)	Prec@5 67.188 (64.253)
Epoch: [12][5140/14090]	Time 0.781 (0.767)	Data 0.001 (0.002)	Loss 2.9276 (2.7746)	Prec@1 28.125 (33.966)	Prec@5 62.500 (64.256)
Epoch: [12][5150/14090]	Time 0.881 (0.767)	Data 0.001 (0.002)	Loss 2.6960 (2.7748)	Prec@1 36.719 (33.964)	Prec@5 65.625 (64.253)
Epoch: [12][5160/14090]	Time 0.757 (0.767)	Data 0.001 (0.002)	Loss 2.6844 (2.7746)	Prec@1 28.906 (33.967)	Prec@5 63.281 (64.256)
Epoch: [12][5170/14090]	Time 0.767 (0.767)	Data 0.001 (0.002)	Loss 2.6646 (2.7746)	Prec@1 35.938 (33.969)	Prec@5 69.531 (64.256)
Epoch: [12][5180/14090]	Time 0.790 (0.767)	Data 0.001 (0.002)	Loss 2.8046 (2.7745)	Prec@1 30.469 (33.974)	Prec@5 63.281 (64.256)
Epoch: [12][5190/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 2.9286 (2.7746)	Prec@1 32.812 (33.968)	Prec@5 60.938 (64.251)
Epoch: [12][5200/14090]	Time 0.757 (0.767)	Data 0.001 (0.002)	Loss 2.8079 (2.7746)	Prec@1 35.938 (33.966)	Prec@5 65.625 (64.252)
Epoch: [12][5210/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 2.4995 (2.7747)	Prec@1 42.188 (33.967)	Prec@5 70.312 (64.252)
Epoch: [12][5220/14090]	Time 0.866 (0.767)	Data 0.001 (0.002)	Loss 2.5163 (2.7747)	Prec@1 41.406 (33.967)	Prec@5 69.531 (64.248)
Epoch: [12][5230/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 2.9149 (2.7749)	Prec@1 32.812 (33.963)	Prec@5 62.500 (64.246)
Epoch: [12][5240/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 2.9703 (2.7749)	Prec@1 34.375 (33.960)	Prec@5 60.156 (64.246)
Epoch: [12][5250/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 2.6585 (2.7749)	Prec@1 37.500 (33.961)	Prec@5 69.531 (64.246)
Epoch: [12][5260/14090]	Time 0.773 (0.767)	Data 0.001 (0.002)	Loss 2.7592 (2.7749)	Prec@1 32.031 (33.960)	Prec@5 65.625 (64.247)
Epoch: [12][5270/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 2.7699 (2.7749)	Prec@1 36.719 (33.960)	Prec@5 67.969 (64.247)
Epoch: [12][5280/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 2.5532 (2.7748)	Prec@1 39.062 (33.957)	Prec@5 66.406 (64.249)
Epoch: [12][5290/14090]	Time 0.864 (0.767)	Data 0.001 (0.002)	Loss 2.6009 (2.7747)	Prec@1 34.375 (33.959)	Prec@5 64.844 (64.250)
Epoch: [12][5300/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 2.9716 (2.7748)	Prec@1 32.031 (33.956)	Prec@5 58.594 (64.247)
Epoch: [12][5310/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 2.8809 (2.7749)	Prec@1 30.469 (33.949)	Prec@5 61.719 (64.246)
Epoch: [12][5320/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 2.9656 (2.7748)	Prec@1 26.562 (33.948)	Prec@5 60.156 (64.248)
Epoch: [12][5330/14090]	Time 0.771 (0.767)	Data 0.001 (0.002)	Loss 2.7510 (2.7749)	Prec@1 28.906 (33.945)	Prec@5 66.406 (64.245)
Epoch: [12][5340/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 2.5627 (2.7749)	Prec@1 39.062 (33.946)	Prec@5 69.531 (64.245)
Epoch: [12][5350/14090]	Time 0.780 (0.767)	Data 0.001 (0.002)	Loss 2.5274 (2.7749)	Prec@1 39.062 (33.947)	Prec@5 68.750 (64.246)
Epoch: [12][5360/14090]	Time 0.848 (0.767)	Data 0.001 (0.002)	Loss 2.7446 (2.7748)	Prec@1 32.031 (33.947)	Prec@5 67.969 (64.249)
Epoch: [12][5370/14090]	Time 0.761 (0.767)	Data 0.001 (0.002)	Loss 2.9797 (2.7748)	Prec@1 26.562 (33.948)	Prec@5 60.938 (64.248)
Epoch: [12][5380/14090]	Time 0.770 (0.767)	Data 0.001 (0.002)	Loss 2.6433 (2.7747)	Prec@1 32.812 (33.950)	Prec@5 70.312 (64.250)
Epoch: [12][5390/14090]	Time 0.786 (0.767)	Data 0.001 (0.002)	Loss 2.6459 (2.7746)	Prec@1 35.156 (33.947)	Prec@5 69.531 (64.252)
Epoch: [12][5400/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 2.8790 (2.7745)	Prec@1 32.812 (33.949)	Prec@5 60.938 (64.256)
Epoch: [12][5410/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 2.9070 (2.7748)	Prec@1 29.688 (33.944)	Prec@5 58.594 (64.254)
Epoch: [12][5420/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 2.7399 (2.7749)	Prec@1 39.062 (33.943)	Prec@5 66.406 (64.251)
Epoch: [12][5430/14090]	Time 0.890 (0.767)	Data 0.001 (0.002)	Loss 2.8731 (2.7751)	Prec@1 31.250 (33.939)	Prec@5 63.281 (64.247)
Epoch: [12][5440/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 2.9086 (2.7754)	Prec@1 31.250 (33.933)	Prec@5 63.281 (64.241)
Epoch: [12][5450/14090]	Time 0.790 (0.767)	Data 0.001 (0.002)	Loss 2.7660 (2.7753)	Prec@1 34.375 (33.934)	Prec@5 63.281 (64.243)
Epoch: [12][5460/14090]	Time 0.768 (0.767)	Data 0.001 (0.002)	Loss 2.8470 (2.7752)	Prec@1 26.562 (33.933)	Prec@5 66.406 (64.246)
Epoch: [12][5470/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 2.8214 (2.7754)	Prec@1 33.594 (33.931)	Prec@5 63.281 (64.238)
Epoch: [12][5480/14090]	Time 0.769 (0.767)	Data 0.001 (0.002)	Loss 2.8237 (2.7755)	Prec@1 30.469 (33.932)	Prec@5 60.938 (64.235)
Epoch: [12][5490/14090]	Time 0.781 (0.767)	Data 0.001 (0.002)	Loss 2.6168 (2.7755)	Prec@1 37.500 (33.932)	Prec@5 65.625 (64.232)
Epoch: [12][5500/14090]	Time 0.859 (0.767)	Data 0.001 (0.002)	Loss 2.5822 (2.7755)	Prec@1 36.719 (33.933)	Prec@5 64.062 (64.233)
Epoch: [12][5510/14090]	Time 0.780 (0.767)	Data 0.001 (0.002)	Loss 2.8069 (2.7754)	Prec@1 30.469 (33.936)	Prec@5 65.625 (64.236)
Epoch: [12][5520/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 2.8875 (2.7756)	Prec@1 36.719 (33.935)	Prec@5 60.156 (64.233)
Epoch: [12][5530/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 2.7885 (2.7755)	Prec@1 36.719 (33.940)	Prec@5 65.625 (64.237)
Epoch: [12][5540/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 2.6424 (2.7754)	Prec@1 36.719 (33.941)	Prec@5 68.750 (64.237)
Epoch: [12][5550/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 2.8934 (2.7755)	Prec@1 31.250 (33.937)	Prec@5 59.375 (64.238)
Epoch: [12][5560/14090]	Time 0.791 (0.767)	Data 0.001 (0.002)	Loss 2.7156 (2.7755)	Prec@1 36.719 (33.935)	Prec@5 60.938 (64.237)
Epoch: [12][5570/14090]	Time 0.841 (0.767)	Data 0.001 (0.002)	Loss 2.7268 (2.7755)	Prec@1 43.750 (33.936)	Prec@5 64.062 (64.236)
Epoch: [12][5580/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 2.7072 (2.7755)	Prec@1 35.938 (33.932)	Prec@5 64.062 (64.234)
Epoch: [12][5590/14090]	Time 0.784 (0.767)	Data 0.001 (0.002)	Loss 2.8377 (2.7755)	Prec@1 28.906 (33.931)	Prec@5 61.719 (64.234)
Epoch: [12][5600/14090]	Time 0.780 (0.767)	Data 0.001 (0.002)	Loss 2.9167 (2.7754)	Prec@1 31.250 (33.931)	Prec@5 62.500 (64.234)
Epoch: [12][5610/14090]	Time 0.761 (0.767)	Data 0.001 (0.002)	Loss 2.9487 (2.7754)	Prec@1 33.594 (33.931)	Prec@5 62.500 (64.237)
Epoch: [12][5620/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 2.9070 (2.7754)	Prec@1 31.250 (33.930)	Prec@5 63.281 (64.236)
Epoch: [12][5630/14090]	Time 0.785 (0.767)	Data 0.001 (0.002)	Loss 2.6870 (2.7755)	Prec@1 35.938 (33.929)	Prec@5 69.531 (64.235)
Epoch: [12][5640/14090]	Time 0.816 (0.767)	Data 0.001 (0.002)	Loss 2.5923 (2.7754)	Prec@1 33.594 (33.929)	Prec@5 71.875 (64.238)
Epoch: [12][5650/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 3.2160 (2.7756)	Prec@1 28.125 (33.925)	Prec@5 55.469 (64.233)
Epoch: [12][5660/14090]	Time 0.777 (0.767)	Data 0.001 (0.002)	Loss 2.7712 (2.7757)	Prec@1 32.031 (33.920)	Prec@5 63.281 (64.228)
Epoch: [12][5670/14090]	Time 0.775 (0.767)	Data 0.001 (0.002)	Loss 2.7746 (2.7758)	Prec@1 30.469 (33.921)	Prec@5 67.188 (64.227)
Epoch: [12][5680/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 2.7512 (2.7758)	Prec@1 35.938 (33.922)	Prec@5 67.969 (64.228)
Epoch: [12][5690/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 2.9447 (2.7759)	Prec@1 28.125 (33.918)	Prec@5 60.156 (64.225)
Epoch: [12][5700/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.7376 (2.7760)	Prec@1 39.062 (33.919)	Prec@5 66.406 (64.225)
Epoch: [12][5710/14090]	Time 0.866 (0.767)	Data 0.001 (0.002)	Loss 2.9625 (2.7760)	Prec@1 32.812 (33.920)	Prec@5 57.812 (64.225)
Epoch: [12][5720/14090]	Time 0.778 (0.767)	Data 0.001 (0.002)	Loss 2.6767 (2.7758)	Prec@1 33.594 (33.924)	Prec@5 66.406 (64.226)
Epoch: [12][5730/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 2.6029 (2.7760)	Prec@1 33.594 (33.920)	Prec@5 63.281 (64.224)
Epoch: [12][5740/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 2.7415 (2.7761)	Prec@1 32.031 (33.916)	Prec@5 59.375 (64.221)
Epoch: [12][5750/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 2.9613 (2.7761)	Prec@1 30.469 (33.917)	Prec@5 59.375 (64.220)
Epoch: [12][5760/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 2.8375 (2.7761)	Prec@1 32.031 (33.917)	Prec@5 57.812 (64.222)
Epoch: [12][5770/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 2.7498 (2.7760)	Prec@1 37.500 (33.921)	Prec@5 67.969 (64.223)
Epoch: [12][5780/14090]	Time 0.859 (0.767)	Data 0.001 (0.002)	Loss 2.8166 (2.7759)	Prec@1 30.469 (33.923)	Prec@5 63.281 (64.224)
Epoch: [12][5790/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 2.9252 (2.7758)	Prec@1 28.906 (33.922)	Prec@5 59.375 (64.224)
Epoch: [12][5800/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 2.9297 (2.7759)	Prec@1 34.375 (33.917)	Prec@5 57.812 (64.222)
Epoch: [12][5810/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 2.5451 (2.7760)	Prec@1 37.500 (33.914)	Prec@5 67.188 (64.221)
Epoch: [12][5820/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 2.8206 (2.7760)	Prec@1 31.250 (33.912)	Prec@5 61.719 (64.222)
Epoch: [12][5830/14090]	Time 0.763 (0.767)	Data 0.001 (0.002)	Loss 2.8733 (2.7760)	Prec@1 32.812 (33.913)	Prec@5 59.375 (64.220)
Epoch: [12][5840/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 2.7310 (2.7760)	Prec@1 35.938 (33.916)	Prec@5 64.844 (64.221)
Epoch: [12][5850/14090]	Time 0.825 (0.767)	Data 0.001 (0.002)	Loss 2.9817 (2.7763)	Prec@1 32.031 (33.913)	Prec@5 61.719 (64.218)
Epoch: [12][5860/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 2.5720 (2.7762)	Prec@1 39.062 (33.914)	Prec@5 63.281 (64.218)
Epoch: [12][5870/14090]	Time 0.731 (0.767)	Data 0.001 (0.002)	Loss 2.8602 (2.7764)	Prec@1 32.031 (33.913)	Prec@5 62.500 (64.215)
Epoch: [12][5880/14090]	Time 0.731 (0.767)	Data 0.001 (0.002)	Loss 2.7548 (2.7765)	Prec@1 33.594 (33.913)	Prec@5 64.844 (64.211)
Epoch: [12][5890/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 2.7530 (2.7766)	Prec@1 34.375 (33.912)	Prec@5 60.938 (64.210)
Epoch: [12][5900/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 2.8192 (2.7767)	Prec@1 32.031 (33.912)	Prec@5 61.719 (64.208)
Epoch: [12][5910/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 2.8799 (2.7768)	Prec@1 30.469 (33.911)	Prec@5 67.188 (64.208)
Epoch: [12][5920/14090]	Time 0.866 (0.767)	Data 0.002 (0.002)	Loss 2.7553 (2.7769)	Prec@1 34.375 (33.913)	Prec@5 69.531 (64.206)
Epoch: [12][5930/14090]	Time 0.768 (0.767)	Data 0.001 (0.002)	Loss 2.5585 (2.7767)	Prec@1 34.375 (33.912)	Prec@5 65.625 (64.209)
Epoch: [12][5940/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 2.6609 (2.7766)	Prec@1 35.938 (33.916)	Prec@5 64.844 (64.211)
Epoch: [12][5950/14090]	Time 0.811 (0.767)	Data 0.001 (0.002)	Loss 2.6694 (2.7765)	Prec@1 36.719 (33.916)	Prec@5 65.625 (64.212)
Epoch: [12][5960/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 2.6785 (2.7768)	Prec@1 36.719 (33.914)	Prec@5 63.281 (64.205)
Epoch: [12][5970/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.8274 (2.7769)	Prec@1 31.250 (33.912)	Prec@5 60.938 (64.203)
Epoch: [12][5980/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.7218 (2.7769)	Prec@1 33.594 (33.912)	Prec@5 62.500 (64.203)
Epoch: [12][5990/14090]	Time 0.870 (0.767)	Data 0.001 (0.001)	Loss 2.8974 (2.7770)	Prec@1 31.250 (33.908)	Prec@5 61.719 (64.201)
Epoch: [12][6000/14090]	Time 0.769 (0.767)	Data 0.001 (0.001)	Loss 3.0301 (2.7771)	Prec@1 28.906 (33.906)	Prec@5 60.156 (64.200)
Epoch: [12][6010/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 2.9658 (2.7772)	Prec@1 30.469 (33.906)	Prec@5 57.812 (64.201)
Epoch: [12][6020/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 2.9748 (2.7771)	Prec@1 32.031 (33.910)	Prec@5 60.156 (64.204)
Epoch: [12][6030/14090]	Time 0.763 (0.767)	Data 0.001 (0.001)	Loss 2.6979 (2.7771)	Prec@1 37.500 (33.912)	Prec@5 67.188 (64.203)
Epoch: [12][6040/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 2.7552 (2.7772)	Prec@1 33.594 (33.910)	Prec@5 61.719 (64.201)
Epoch: [12][6050/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 2.8259 (2.7771)	Prec@1 35.156 (33.912)	Prec@5 63.281 (64.204)
Epoch: [12][6060/14090]	Time 0.829 (0.767)	Data 0.001 (0.001)	Loss 2.7635 (2.7771)	Prec@1 37.500 (33.911)	Prec@5 62.500 (64.201)
Epoch: [12][6070/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 2.7614 (2.7771)	Prec@1 28.906 (33.910)	Prec@5 61.719 (64.200)
Epoch: [12][6080/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 2.8757 (2.7771)	Prec@1 32.031 (33.911)	Prec@5 62.500 (64.203)
Epoch: [12][6090/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.7704 (2.7771)	Prec@1 35.938 (33.912)	Prec@5 63.281 (64.203)
Epoch: [12][6100/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 2.6385 (2.7770)	Prec@1 36.719 (33.913)	Prec@5 68.750 (64.203)
Epoch: [12][6110/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.4120 (2.7768)	Prec@1 37.500 (33.913)	Prec@5 69.531 (64.207)
Epoch: [12][6120/14090]	Time 0.780 (0.767)	Data 0.001 (0.001)	Loss 2.6561 (2.7768)	Prec@1 37.500 (33.914)	Prec@5 63.281 (64.206)
Epoch: [12][6130/14090]	Time 0.888 (0.767)	Data 0.001 (0.001)	Loss 2.6306 (2.7769)	Prec@1 30.469 (33.911)	Prec@5 68.750 (64.205)
Epoch: [12][6140/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 2.8767 (2.7769)	Prec@1 25.781 (33.911)	Prec@5 66.406 (64.210)
Epoch: [12][6150/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 2.8595 (2.7769)	Prec@1 33.594 (33.910)	Prec@5 68.750 (64.211)
Epoch: [12][6160/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 2.6269 (2.7768)	Prec@1 35.938 (33.912)	Prec@5 68.750 (64.212)
Epoch: [12][6170/14090]	Time 0.777 (0.767)	Data 0.001 (0.001)	Loss 3.0322 (2.7768)	Prec@1 33.594 (33.913)	Prec@5 53.906 (64.211)
Epoch: [12][6180/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 3.0455 (2.7768)	Prec@1 29.688 (33.914)	Prec@5 60.156 (64.213)
Epoch: [12][6190/14090]	Time 0.727 (0.767)	Data 0.001 (0.001)	Loss 2.3134 (2.7768)	Prec@1 42.188 (33.916)	Prec@5 75.781 (64.213)
Epoch: [12][6200/14090]	Time 0.891 (0.767)	Data 0.001 (0.001)	Loss 2.5873 (2.7767)	Prec@1 35.156 (33.918)	Prec@5 66.406 (64.216)
Epoch: [12][6210/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 2.6862 (2.7768)	Prec@1 34.375 (33.917)	Prec@5 63.281 (64.215)
Epoch: [12][6220/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 2.6167 (2.7767)	Prec@1 29.688 (33.918)	Prec@5 63.281 (64.216)
Epoch: [12][6230/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 3.0183 (2.7765)	Prec@1 25.781 (33.920)	Prec@5 64.062 (64.220)
Epoch: [12][6240/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 2.5755 (2.7763)	Prec@1 42.188 (33.924)	Prec@5 68.750 (64.225)
Epoch: [12][6250/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 2.8459 (2.7765)	Prec@1 35.938 (33.923)	Prec@5 64.062 (64.223)
Epoch: [12][6260/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 2.8022 (2.7764)	Prec@1 34.375 (33.924)	Prec@5 60.156 (64.222)
Epoch: [12][6270/14090]	Time 0.945 (0.767)	Data 0.001 (0.001)	Loss 2.8749 (2.7764)	Prec@1 36.719 (33.928)	Prec@5 60.938 (64.223)
Epoch: [12][6280/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 2.9591 (2.7766)	Prec@1 34.375 (33.923)	Prec@5 64.062 (64.218)
Epoch: [12][6290/14090]	Time 0.766 (0.767)	Data 0.001 (0.001)	Loss 3.1852 (2.7765)	Prec@1 31.250 (33.926)	Prec@5 54.688 (64.220)
Epoch: [12][6300/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 2.9591 (2.7767)	Prec@1 28.906 (33.921)	Prec@5 60.156 (64.214)
Epoch: [12][6310/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 2.6560 (2.7767)	Prec@1 36.719 (33.921)	Prec@5 67.969 (64.216)
Epoch: [12][6320/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 2.5796 (2.7766)	Prec@1 40.625 (33.922)	Prec@5 71.875 (64.221)
Epoch: [12][6330/14090]	Time 0.728 (0.767)	Data 0.002 (0.001)	Loss 2.5504 (2.7765)	Prec@1 43.750 (33.925)	Prec@5 67.188 (64.222)
Epoch: [12][6340/14090]	Time 0.856 (0.767)	Data 0.001 (0.001)	Loss 2.6947 (2.7765)	Prec@1 32.812 (33.927)	Prec@5 71.094 (64.226)
Epoch: [12][6350/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 2.7211 (2.7765)	Prec@1 34.375 (33.926)	Prec@5 64.062 (64.227)
Epoch: [12][6360/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 2.6292 (2.7765)	Prec@1 34.375 (33.924)	Prec@5 64.844 (64.226)
Epoch: [12][6370/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 3.1884 (2.7768)	Prec@1 21.094 (33.919)	Prec@5 53.906 (64.222)
Epoch: [12][6380/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.8446 (2.7769)	Prec@1 32.812 (33.918)	Prec@5 60.938 (64.222)
Epoch: [12][6390/14090]	Time 0.768 (0.767)	Data 0.001 (0.001)	Loss 2.8647 (2.7769)	Prec@1 34.375 (33.917)	Prec@5 61.719 (64.218)
Epoch: [12][6400/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 3.0965 (2.7769)	Prec@1 29.688 (33.917)	Prec@5 51.562 (64.218)
Epoch: [12][6410/14090]	Time 0.812 (0.767)	Data 0.002 (0.001)	Loss 2.7501 (2.7770)	Prec@1 32.812 (33.913)	Prec@5 64.062 (64.217)
Epoch: [12][6420/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 2.5436 (2.7770)	Prec@1 42.188 (33.912)	Prec@5 68.750 (64.215)
Epoch: [12][6430/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.9351 (2.7770)	Prec@1 28.906 (33.914)	Prec@5 56.250 (64.215)
Epoch: [12][6440/14090]	Time 0.776 (0.767)	Data 0.001 (0.001)	Loss 2.8082 (2.7770)	Prec@1 34.375 (33.916)	Prec@5 70.312 (64.218)
Epoch: [12][6450/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 3.0452 (2.7771)	Prec@1 28.125 (33.914)	Prec@5 61.719 (64.216)
Epoch: [12][6460/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 3.2531 (2.7772)	Prec@1 25.781 (33.911)	Prec@5 56.250 (64.216)
Epoch: [12][6470/14090]	Time 0.781 (0.767)	Data 0.001 (0.001)	Loss 2.7885 (2.7772)	Prec@1 35.938 (33.910)	Prec@5 60.156 (64.213)
Epoch: [12][6480/14090]	Time 0.864 (0.767)	Data 0.001 (0.001)	Loss 3.1712 (2.7773)	Prec@1 28.906 (33.908)	Prec@5 53.125 (64.210)
Epoch: [12][6490/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 2.8498 (2.7774)	Prec@1 39.062 (33.906)	Prec@5 60.156 (64.209)
Epoch: [12][6500/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 2.7247 (2.7775)	Prec@1 37.500 (33.902)	Prec@5 64.844 (64.206)
Epoch: [12][6510/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 2.8744 (2.7776)	Prec@1 39.844 (33.900)	Prec@5 62.500 (64.204)
Epoch: [12][6520/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 2.8816 (2.7776)	Prec@1 31.250 (33.901)	Prec@5 61.719 (64.207)
Epoch: [12][6530/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 2.8599 (2.7777)	Prec@1 28.906 (33.897)	Prec@5 65.625 (64.207)
Epoch: [12][6540/14090]	Time 0.725 (0.767)	Data 0.001 (0.001)	Loss 2.9070 (2.7778)	Prec@1 34.375 (33.896)	Prec@5 60.938 (64.206)
Epoch: [12][6550/14090]	Time 0.863 (0.767)	Data 0.001 (0.001)	Loss 2.8036 (2.7778)	Prec@1 33.594 (33.896)	Prec@5 66.406 (64.207)
Epoch: [12][6560/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 2.6820 (2.7778)	Prec@1 36.719 (33.896)	Prec@5 64.844 (64.208)
Epoch: [12][6570/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 2.5951 (2.7778)	Prec@1 33.594 (33.898)	Prec@5 64.844 (64.208)
Epoch: [12][6580/14090]	Time 0.777 (0.767)	Data 0.001 (0.001)	Loss 2.7758 (2.7779)	Prec@1 38.281 (33.897)	Prec@5 64.844 (64.206)
Epoch: [12][6590/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 2.7863 (2.7778)	Prec@1 32.812 (33.897)	Prec@5 62.500 (64.209)
Epoch: [12][6600/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 2.7712 (2.7779)	Prec@1 34.375 (33.896)	Prec@5 59.375 (64.206)
Epoch: [12][6610/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 2.5270 (2.7780)	Prec@1 34.375 (33.893)	Prec@5 69.531 (64.205)
Epoch: [12][6620/14090]	Time 0.848 (0.767)	Data 0.001 (0.001)	Loss 2.9254 (2.7781)	Prec@1 31.250 (33.889)	Prec@5 62.500 (64.201)
Epoch: [12][6630/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 3.1327 (2.7782)	Prec@1 32.812 (33.890)	Prec@5 57.812 (64.200)
Epoch: [12][6640/14090]	Time 0.723 (0.767)	Data 0.001 (0.001)	Loss 2.9364 (2.7782)	Prec@1 28.906 (33.891)	Prec@5 61.719 (64.202)
Epoch: [12][6650/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 2.8640 (2.7782)	Prec@1 33.594 (33.891)	Prec@5 57.812 (64.201)
Epoch: [12][6660/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.9412 (2.7782)	Prec@1 34.375 (33.892)	Prec@5 60.938 (64.203)
Epoch: [12][6670/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 2.3208 (2.7782)	Prec@1 47.656 (33.890)	Prec@5 73.438 (64.203)
Epoch: [12][6680/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 2.5496 (2.7783)	Prec@1 42.969 (33.889)	Prec@5 69.531 (64.201)
Epoch: [12][6690/14090]	Time 0.851 (0.767)	Data 0.001 (0.001)	Loss 2.8119 (2.7783)	Prec@1 35.156 (33.888)	Prec@5 67.188 (64.202)
Epoch: [12][6700/14090]	Time 0.723 (0.767)	Data 0.001 (0.001)	Loss 2.7906 (2.7785)	Prec@1 30.469 (33.883)	Prec@5 66.406 (64.199)
Epoch: [12][6710/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 2.8046 (2.7785)	Prec@1 38.281 (33.882)	Prec@5 61.719 (64.200)
Epoch: [12][6720/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 2.9908 (2.7787)	Prec@1 32.031 (33.877)	Prec@5 56.250 (64.195)
Epoch: [12][6730/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 3.0194 (2.7787)	Prec@1 32.031 (33.879)	Prec@5 60.938 (64.195)
Epoch: [12][6740/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 2.8880 (2.7789)	Prec@1 30.469 (33.876)	Prec@5 60.156 (64.190)
Epoch: [12][6750/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 2.6857 (2.7789)	Prec@1 35.156 (33.875)	Prec@5 65.625 (64.190)
Epoch: [12][6760/14090]	Time 0.849 (0.767)	Data 0.001 (0.001)	Loss 2.9287 (2.7789)	Prec@1 29.688 (33.873)	Prec@5 60.938 (64.192)
Epoch: [12][6770/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 2.9458 (2.7789)	Prec@1 35.156 (33.873)	Prec@5 62.500 (64.191)
Epoch: [12][6780/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 2.4561 (2.7788)	Prec@1 35.156 (33.875)	Prec@5 67.969 (64.191)
Epoch: [12][6790/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 2.5099 (2.7787)	Prec@1 33.594 (33.877)	Prec@5 70.312 (64.193)
Epoch: [12][6800/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.8544 (2.7786)	Prec@1 35.156 (33.878)	Prec@5 60.156 (64.195)
Epoch: [12][6810/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 2.7247 (2.7785)	Prec@1 32.812 (33.879)	Prec@5 64.062 (64.196)
Epoch: [12][6820/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 2.8328 (2.7785)	Prec@1 32.812 (33.878)	Prec@5 57.812 (64.194)
Epoch: [12][6830/14090]	Time 0.848 (0.767)	Data 0.001 (0.001)	Loss 2.8770 (2.7784)	Prec@1 37.500 (33.884)	Prec@5 67.969 (64.196)
Epoch: [12][6840/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 2.5937 (2.7783)	Prec@1 33.594 (33.887)	Prec@5 67.188 (64.198)
Epoch: [12][6850/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 2.9319 (2.7784)	Prec@1 32.031 (33.886)	Prec@5 60.156 (64.197)
Epoch: [12][6860/14090]	Time 0.776 (0.767)	Data 0.001 (0.001)	Loss 2.8950 (2.7784)	Prec@1 34.375 (33.886)	Prec@5 59.375 (64.194)
Epoch: [12][6870/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 2.8173 (2.7784)	Prec@1 33.594 (33.886)	Prec@5 58.594 (64.198)
Epoch: [12][6880/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 2.8853 (2.7783)	Prec@1 32.031 (33.887)	Prec@5 58.594 (64.199)
Epoch: [12][6890/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 3.0071 (2.7783)	Prec@1 31.250 (33.887)	Prec@5 60.938 (64.201)
Epoch: [12][6900/14090]	Time 0.833 (0.767)	Data 0.001 (0.001)	Loss 2.7707 (2.7783)	Prec@1 26.562 (33.888)	Prec@5 67.188 (64.201)
Epoch: [12][6910/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 2.7916 (2.7784)	Prec@1 35.938 (33.888)	Prec@5 62.500 (64.199)
Epoch: [12][6920/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 2.5578 (2.7785)	Prec@1 40.625 (33.889)	Prec@5 68.750 (64.199)
Epoch: [12][6930/14090]	Time 0.771 (0.767)	Data 0.001 (0.001)	Loss 2.9004 (2.7785)	Prec@1 28.906 (33.888)	Prec@5 62.500 (64.199)
Epoch: [12][6940/14090]	Time 0.775 (0.767)	Data 0.001 (0.001)	Loss 2.8239 (2.7784)	Prec@1 34.375 (33.889)	Prec@5 65.625 (64.200)
Epoch: [12][6950/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 2.8100 (2.7785)	Prec@1 35.938 (33.887)	Prec@5 59.375 (64.196)
Epoch: [12][6960/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 2.9309 (2.7786)	Prec@1 34.375 (33.882)	Prec@5 61.719 (64.193)
Epoch: [12][6970/14090]	Time 0.891 (0.767)	Data 0.001 (0.001)	Loss 2.5983 (2.7786)	Prec@1 37.500 (33.883)	Prec@5 68.750 (64.196)
Epoch: [12][6980/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 2.5481 (2.7785)	Prec@1 42.188 (33.886)	Prec@5 66.406 (64.198)
Epoch: [12][6990/14090]	Time 0.785 (0.767)	Data 0.001 (0.001)	Loss 2.8317 (2.7786)	Prec@1 40.625 (33.887)	Prec@5 57.812 (64.193)
Epoch: [12][7000/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 2.8472 (2.7787)	Prec@1 36.719 (33.886)	Prec@5 66.406 (64.192)
Epoch: [12][7010/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 2.9382 (2.7786)	Prec@1 33.594 (33.885)	Prec@5 60.938 (64.194)
Epoch: [12][7020/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 2.8655 (2.7786)	Prec@1 35.938 (33.886)	Prec@5 62.500 (64.194)
Epoch: [12][7030/14090]	Time 0.796 (0.767)	Data 0.001 (0.001)	Loss 2.6369 (2.7787)	Prec@1 39.844 (33.885)	Prec@5 66.406 (64.192)
Epoch: [12][7040/14090]	Time 0.867 (0.767)	Data 0.001 (0.001)	Loss 2.6726 (2.7786)	Prec@1 32.812 (33.884)	Prec@5 65.625 (64.192)
Epoch: [12][7050/14090]	Time 0.727 (0.767)	Data 0.001 (0.001)	Loss 2.7605 (2.7786)	Prec@1 31.250 (33.882)	Prec@5 65.625 (64.192)
Epoch: [12][7060/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.6820 (2.7786)	Prec@1 35.938 (33.879)	Prec@5 63.281 (64.191)
Epoch: [12][7070/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 2.7310 (2.7787)	Prec@1 35.938 (33.879)	Prec@5 62.500 (64.190)
Epoch: [12][7080/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 2.6545 (2.7786)	Prec@1 32.812 (33.881)	Prec@5 64.062 (64.191)
Epoch: [12][7090/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 2.7365 (2.7785)	Prec@1 27.344 (33.879)	Prec@5 66.406 (64.193)
Epoch: [12][7100/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.8205 (2.7785)	Prec@1 33.594 (33.878)	Prec@5 64.844 (64.192)
Epoch: [12][7110/14090]	Time 0.849 (0.767)	Data 0.001 (0.001)	Loss 2.7705 (2.7786)	Prec@1 33.594 (33.873)	Prec@5 64.844 (64.191)
Epoch: [12][7120/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 2.7354 (2.7787)	Prec@1 36.719 (33.873)	Prec@5 65.625 (64.194)
Epoch: [12][7130/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 2.7904 (2.7788)	Prec@1 32.812 (33.871)	Prec@5 66.406 (64.193)
Epoch: [12][7140/14090]	Time 0.725 (0.767)	Data 0.001 (0.001)	Loss 2.5567 (2.7788)	Prec@1 35.938 (33.874)	Prec@5 73.438 (64.194)
Epoch: [12][7150/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 2.4748 (2.7787)	Prec@1 40.625 (33.876)	Prec@5 73.438 (64.197)
Epoch: [12][7160/14090]	Time 0.771 (0.767)	Data 0.001 (0.001)	Loss 3.2398 (2.7789)	Prec@1 25.781 (33.875)	Prec@5 58.594 (64.192)
Epoch: [12][7170/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 3.0309 (2.7790)	Prec@1 25.000 (33.872)	Prec@5 59.375 (64.190)
Epoch: [12][7180/14090]	Time 0.878 (0.767)	Data 0.001 (0.001)	Loss 2.7669 (2.7790)	Prec@1 32.031 (33.871)	Prec@5 66.406 (64.190)
Epoch: [12][7190/14090]	Time 0.775 (0.767)	Data 0.001 (0.001)	Loss 2.7886 (2.7790)	Prec@1 29.688 (33.869)	Prec@5 60.156 (64.190)
Epoch: [12][7200/14090]	Time 0.776 (0.767)	Data 0.001 (0.001)	Loss 2.8589 (2.7790)	Prec@1 28.906 (33.866)	Prec@5 60.938 (64.189)
Epoch: [12][7210/14090]	Time 0.727 (0.767)	Data 0.001 (0.001)	Loss 2.5738 (2.7790)	Prec@1 40.625 (33.869)	Prec@5 71.875 (64.189)
Epoch: [12][7220/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 2.6497 (2.7789)	Prec@1 33.594 (33.868)	Prec@5 66.406 (64.189)
Epoch: [12][7230/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 2.9088 (2.7789)	Prec@1 32.812 (33.867)	Prec@5 63.281 (64.190)
Epoch: [12][7240/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 2.8546 (2.7789)	Prec@1 31.250 (33.868)	Prec@5 66.406 (64.192)
Epoch: [12][7250/14090]	Time 0.844 (0.767)	Data 0.001 (0.001)	Loss 2.6314 (2.7788)	Prec@1 38.281 (33.870)	Prec@5 60.156 (64.195)
Epoch: [12][7260/14090]	Time 0.790 (0.767)	Data 0.001 (0.001)	Loss 2.3940 (2.7787)	Prec@1 35.938 (33.871)	Prec@5 69.531 (64.198)
Epoch: [12][7270/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.7959 (2.7787)	Prec@1 31.250 (33.871)	Prec@5 60.156 (64.199)
Epoch: [12][7280/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 2.6166 (2.7787)	Prec@1 31.250 (33.869)	Prec@5 71.094 (64.200)
Epoch: [12][7290/14090]	Time 0.776 (0.767)	Data 0.001 (0.001)	Loss 2.6516 (2.7787)	Prec@1 35.938 (33.869)	Prec@5 65.625 (64.200)
Epoch: [12][7300/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 2.4954 (2.7788)	Prec@1 38.281 (33.867)	Prec@5 69.531 (64.199)
Epoch: [12][7310/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 2.5862 (2.7787)	Prec@1 36.719 (33.868)	Prec@5 64.844 (64.201)
Epoch: [12][7320/14090]	Time 0.878 (0.767)	Data 0.001 (0.001)	Loss 2.9186 (2.7787)	Prec@1 31.250 (33.869)	Prec@5 66.406 (64.201)
Epoch: [12][7330/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 2.7485 (2.7787)	Prec@1 37.500 (33.871)	Prec@5 60.938 (64.203)
Epoch: [12][7340/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 2.8281 (2.7786)	Prec@1 28.906 (33.872)	Prec@5 66.406 (64.204)
Epoch: [12][7350/14090]	Time 0.767 (0.767)	Data 0.001 (0.001)	Loss 2.8962 (2.7787)	Prec@1 29.688 (33.866)	Prec@5 57.812 (64.202)
Epoch: [12][7360/14090]	Time 0.779 (0.767)	Data 0.001 (0.001)	Loss 2.4897 (2.7787)	Prec@1 39.844 (33.870)	Prec@5 70.312 (64.204)
Epoch: [12][7370/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.5935 (2.7786)	Prec@1 32.031 (33.868)	Prec@5 65.625 (64.204)
Epoch: [12][7380/14090]	Time 0.778 (0.767)	Data 0.001 (0.001)	Loss 2.7375 (2.7785)	Prec@1 34.375 (33.870)	Prec@5 60.938 (64.204)
Epoch: [12][7390/14090]	Time 0.842 (0.767)	Data 0.001 (0.001)	Loss 2.7214 (2.7784)	Prec@1 37.500 (33.871)	Prec@5 64.062 (64.206)
Epoch: [12][7400/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 2.6771 (2.7784)	Prec@1 35.938 (33.872)	Prec@5 63.281 (64.206)
Epoch: [12][7410/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 2.6962 (2.7783)	Prec@1 30.469 (33.873)	Prec@5 69.531 (64.208)
Epoch: [12][7420/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 2.7739 (2.7783)	Prec@1 33.594 (33.873)	Prec@5 62.500 (64.207)
Epoch: [12][7430/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 2.8557 (2.7783)	Prec@1 35.156 (33.871)	Prec@5 59.375 (64.206)
Epoch: [12][7440/14090]	Time 0.726 (0.767)	Data 0.001 (0.001)	Loss 2.9901 (2.7784)	Prec@1 27.344 (33.871)	Prec@5 60.156 (64.206)
Epoch: [12][7450/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 2.7823 (2.7784)	Prec@1 28.906 (33.872)	Prec@5 60.938 (64.205)
Epoch: [12][7460/14090]	Time 0.862 (0.767)	Data 0.001 (0.001)	Loss 2.6532 (2.7784)	Prec@1 38.281 (33.872)	Prec@5 62.500 (64.202)
Epoch: [12][7470/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 2.8980 (2.7784)	Prec@1 28.906 (33.874)	Prec@5 58.594 (64.202)
Epoch: [12][7480/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 2.7630 (2.7785)	Prec@1 37.500 (33.872)	Prec@5 67.969 (64.199)
Epoch: [12][7490/14090]	Time 0.780 (0.767)	Data 0.001 (0.001)	Loss 2.8135 (2.7786)	Prec@1 29.688 (33.871)	Prec@5 64.844 (64.198)
Epoch: [12][7500/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 2.7193 (2.7787)	Prec@1 30.469 (33.868)	Prec@5 60.938 (64.195)
Epoch: [12][7510/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 2.6374 (2.7787)	Prec@1 35.938 (33.868)	Prec@5 69.531 (64.195)
Epoch: [12][7520/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 2.7546 (2.7788)	Prec@1 34.375 (33.866)	Prec@5 68.750 (64.193)
Epoch: [12][7530/14090]	Time 0.862 (0.767)	Data 0.001 (0.001)	Loss 2.9002 (2.7787)	Prec@1 29.688 (33.867)	Prec@5 57.031 (64.193)
Epoch: [12][7540/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.8030 (2.7788)	Prec@1 36.719 (33.868)	Prec@5 64.062 (64.192)
Epoch: [12][7550/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 2.8827 (2.7787)	Prec@1 35.156 (33.871)	Prec@5 63.281 (64.193)
Epoch: [12][7560/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 2.6638 (2.7787)	Prec@1 32.812 (33.871)	Prec@5 67.969 (64.193)
Epoch: [12][7570/14090]	Time 0.767 (0.767)	Data 0.001 (0.001)	Loss 2.9335 (2.7788)	Prec@1 37.500 (33.871)	Prec@5 60.938 (64.192)
Epoch: [12][7580/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.8903 (2.7788)	Prec@1 27.344 (33.871)	Prec@5 64.062 (64.192)
Epoch: [12][7590/14090]	Time 0.776 (0.767)	Data 0.001 (0.001)	Loss 2.9611 (2.7788)	Prec@1 29.688 (33.871)	Prec@5 55.469 (64.191)
Epoch: [12][7600/14090]	Time 0.865 (0.767)	Data 0.001 (0.001)	Loss 2.7536 (2.7788)	Prec@1 30.469 (33.869)	Prec@5 65.625 (64.189)
Epoch: [12][7610/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 3.0130 (2.7788)	Prec@1 27.344 (33.869)	Prec@5 59.375 (64.189)
Epoch: [12][7620/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 3.0171 (2.7789)	Prec@1 32.812 (33.869)	Prec@5 63.281 (64.188)
Epoch: [12][7630/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 2.7157 (2.7789)	Prec@1 34.375 (33.869)	Prec@5 64.062 (64.189)
Epoch: [12][7640/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 2.8982 (2.7790)	Prec@1 30.469 (33.868)	Prec@5 61.719 (64.187)
Epoch: [12][7650/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 3.1397 (2.7790)	Prec@1 30.469 (33.866)	Prec@5 55.469 (64.184)
Epoch: [12][7660/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 2.9838 (2.7790)	Prec@1 34.375 (33.867)	Prec@5 60.938 (64.185)
Epoch: [12][7670/14090]	Time 0.855 (0.767)	Data 0.001 (0.001)	Loss 2.6857 (2.7790)	Prec@1 36.719 (33.867)	Prec@5 60.156 (64.187)
Epoch: [12][7680/14090]	Time 0.725 (0.767)	Data 0.001 (0.001)	Loss 2.8510 (2.7790)	Prec@1 32.031 (33.867)	Prec@5 64.062 (64.186)
Epoch: [12][7690/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 2.9840 (2.7791)	Prec@1 28.125 (33.868)	Prec@5 54.688 (64.185)
Epoch: [12][7700/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 2.5107 (2.7790)	Prec@1 37.500 (33.871)	Prec@5 71.094 (64.186)
Epoch: [12][7710/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 2.6129 (2.7790)	Prec@1 39.062 (33.871)	Prec@5 67.188 (64.185)
Epoch: [12][7720/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 3.0300 (2.7791)	Prec@1 25.000 (33.866)	Prec@5 57.812 (64.182)
Epoch: [12][7730/14090]	Time 0.771 (0.767)	Data 0.001 (0.001)	Loss 2.7212 (2.7790)	Prec@1 32.812 (33.866)	Prec@5 66.406 (64.185)
Epoch: [12][7740/14090]	Time 0.847 (0.767)	Data 0.001 (0.001)	Loss 2.7704 (2.7791)	Prec@1 39.062 (33.864)	Prec@5 62.500 (64.180)
Epoch: [12][7750/14090]	Time 0.726 (0.767)	Data 0.001 (0.001)	Loss 2.6233 (2.7791)	Prec@1 39.844 (33.862)	Prec@5 69.531 (64.178)
Epoch: [12][7760/14090]	Time 0.775 (0.767)	Data 0.001 (0.001)	Loss 2.5618 (2.7790)	Prec@1 36.719 (33.863)	Prec@5 68.750 (64.180)
Epoch: [12][7770/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 3.0535 (2.7790)	Prec@1 32.812 (33.864)	Prec@5 57.031 (64.180)
Epoch: [12][7780/14090]	Time 0.774 (0.767)	Data 0.001 (0.001)	Loss 2.6672 (2.7790)	Prec@1 40.625 (33.864)	Prec@5 68.750 (64.182)
Epoch: [12][7790/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 2.7628 (2.7790)	Prec@1 35.156 (33.863)	Prec@5 61.719 (64.181)
Epoch: [12][7800/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 2.8220 (2.7789)	Prec@1 33.594 (33.863)	Prec@5 64.844 (64.183)
Epoch: [12][7810/14090]	Time 0.864 (0.767)	Data 0.001 (0.001)	Loss 2.7621 (2.7788)	Prec@1 35.938 (33.866)	Prec@5 64.062 (64.184)
Epoch: [12][7820/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 2.8573 (2.7788)	Prec@1 35.938 (33.868)	Prec@5 59.375 (64.182)
Epoch: [12][7830/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 2.5460 (2.7789)	Prec@1 42.188 (33.868)	Prec@5 66.406 (64.181)
Epoch: [12][7840/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 2.6564 (2.7789)	Prec@1 35.938 (33.866)	Prec@5 70.312 (64.181)
Epoch: [12][7850/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 2.2398 (2.7789)	Prec@1 42.969 (33.866)	Prec@5 78.125 (64.181)
Epoch: [12][7860/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 2.5558 (2.7788)	Prec@1 33.594 (33.867)	Prec@5 67.188 (64.183)
Epoch: [12][7870/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 2.5256 (2.7788)	Prec@1 41.406 (33.870)	Prec@5 69.531 (64.185)
Epoch: [12][7880/14090]	Time 0.871 (0.767)	Data 0.001 (0.001)	Loss 2.5023 (2.7788)	Prec@1 35.938 (33.870)	Prec@5 71.875 (64.185)
Epoch: [12][7890/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 2.8050 (2.7788)	Prec@1 29.688 (33.868)	Prec@5 64.062 (64.185)
Epoch: [12][7900/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 2.8016 (2.7790)	Prec@1 35.938 (33.867)	Prec@5 60.156 (64.182)
Epoch: [12][7910/14090]	Time 0.783 (0.767)	Data 0.001 (0.001)	Loss 2.8322 (2.7791)	Prec@1 40.625 (33.864)	Prec@5 62.500 (64.178)
Epoch: [12][7920/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 2.7910 (2.7791)	Prec@1 34.375 (33.865)	Prec@5 62.500 (64.178)
Epoch: [12][7930/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 3.0032 (2.7791)	Prec@1 34.375 (33.867)	Prec@5 58.594 (64.180)
Epoch: [12][7940/14090]	Time 0.780 (0.767)	Data 0.001 (0.001)	Loss 2.5907 (2.7791)	Prec@1 35.938 (33.867)	Prec@5 69.531 (64.181)
Epoch: [12][7950/14090]	Time 0.857 (0.767)	Data 0.001 (0.001)	Loss 2.9144 (2.7790)	Prec@1 32.031 (33.869)	Prec@5 63.281 (64.184)
Epoch: [12][7960/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 3.1307 (2.7790)	Prec@1 30.469 (33.869)	Prec@5 57.812 (64.182)
Epoch: [12][7970/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 2.8722 (2.7789)	Prec@1 30.469 (33.871)	Prec@5 64.844 (64.185)
Epoch: [12][7980/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 2.6702 (2.7789)	Prec@1 36.719 (33.872)	Prec@5 61.719 (64.184)
Epoch: [12][7990/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 2.8731 (2.7789)	Prec@1 32.031 (33.873)	Prec@5 64.844 (64.186)
Epoch: [12][8000/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 2.8272 (2.7789)	Prec@1 36.719 (33.876)	Prec@5 63.281 (64.186)
Epoch: [12][8010/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 2.7291 (2.7788)	Prec@1 32.031 (33.877)	Prec@5 62.500 (64.188)
Epoch: [12][8020/14090]	Time 0.856 (0.767)	Data 0.001 (0.001)	Loss 2.9225 (2.7788)	Prec@1 29.688 (33.877)	Prec@5 61.719 (64.188)
Epoch: [12][8030/14090]	Time 0.724 (0.767)	Data 0.001 (0.001)	Loss 2.5719 (2.7789)	Prec@1 38.281 (33.877)	Prec@5 68.750 (64.187)
Epoch: [12][8040/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 2.6216 (2.7788)	Prec@1 35.156 (33.878)	Prec@5 67.969 (64.188)
Epoch: [12][8050/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 2.8585 (2.7788)	Prec@1 32.031 (33.878)	Prec@5 63.281 (64.190)
Epoch: [12][8060/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 2.6202 (2.7789)	Prec@1 36.719 (33.878)	Prec@5 63.281 (64.189)
Epoch: [12][8070/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 2.9086 (2.7789)	Prec@1 32.812 (33.875)	Prec@5 61.719 (64.187)
Epoch: [12][8080/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 2.9753 (2.7789)	Prec@1 28.906 (33.874)	Prec@5 58.594 (64.188)
Epoch: [12][8090/14090]	Time 0.868 (0.767)	Data 0.001 (0.001)	Loss 2.8618 (2.7788)	Prec@1 29.688 (33.877)	Prec@5 66.406 (64.191)
Epoch: [12][8100/14090]	Time 0.725 (0.767)	Data 0.001 (0.001)	Loss 2.7148 (2.7789)	Prec@1 38.281 (33.875)	Prec@5 68.750 (64.191)
Epoch: [12][8110/14090]	Time 0.732 (0.767)	Data 0.002 (0.001)	Loss 2.4765 (2.7787)	Prec@1 39.844 (33.879)	Prec@5 66.406 (64.195)
Epoch: [12][8120/14090]	Time 0.766 (0.767)	Data 0.001 (0.001)	Loss 3.1315 (2.7787)	Prec@1 34.375 (33.880)	Prec@5 56.250 (64.194)
Epoch: [12][8130/14090]	Time 0.761 (0.767)	Data 0.004 (0.001)	Loss 3.0100 (2.7786)	Prec@1 29.688 (33.881)	Prec@5 60.156 (64.195)
Epoch: [12][8140/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 2.6813 (2.7786)	Prec@1 34.375 (33.882)	Prec@5 64.062 (64.195)
Epoch: [12][8150/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 2.6510 (2.7786)	Prec@1 34.375 (33.881)	Prec@5 67.969 (64.195)
Epoch: [12][8160/14090]	Time 0.830 (0.767)	Data 0.001 (0.001)	Loss 2.7794 (2.7785)	Prec@1 33.594 (33.881)	Prec@5 64.844 (64.197)
Epoch: [12][8170/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 2.4087 (2.7785)	Prec@1 43.750 (33.881)	Prec@5 71.094 (64.198)
Epoch: [12][8180/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.8200 (2.7786)	Prec@1 29.688 (33.879)	Prec@5 65.625 (64.197)
Epoch: [12][8190/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 2.6046 (2.7785)	Prec@1 37.500 (33.880)	Prec@5 69.531 (64.198)
Epoch: [12][8200/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 2.9884 (2.7786)	Prec@1 32.031 (33.878)	Prec@5 57.812 (64.197)
Epoch: [12][8210/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 2.8381 (2.7785)	Prec@1 29.688 (33.880)	Prec@5 63.281 (64.199)
Epoch: [12][8220/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.7475 (2.7786)	Prec@1 30.469 (33.878)	Prec@5 64.844 (64.196)
Epoch: [12][8230/14090]	Time 0.883 (0.767)	Data 0.001 (0.001)	Loss 2.6842 (2.7784)	Prec@1 35.156 (33.880)	Prec@5 64.844 (64.200)
Epoch: [12][8240/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 2.7168 (2.7784)	Prec@1 36.719 (33.879)	Prec@5 64.844 (64.199)
Epoch: [12][8250/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 2.7644 (2.7785)	Prec@1 33.594 (33.878)	Prec@5 65.625 (64.198)
Epoch: [12][8260/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 2.6028 (2.7784)	Prec@1 42.969 (33.881)	Prec@5 69.531 (64.200)
Epoch: [12][8270/14090]	Time 0.767 (0.767)	Data 0.001 (0.001)	Loss 2.7593 (2.7785)	Prec@1 35.156 (33.881)	Prec@5 64.062 (64.197)
Epoch: [12][8280/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.9528 (2.7786)	Prec@1 31.250 (33.882)	Prec@5 60.938 (64.195)
Epoch: [12][8290/14090]	Time 0.725 (0.767)	Data 0.001 (0.001)	Loss 2.7456 (2.7786)	Prec@1 32.812 (33.882)	Prec@5 63.281 (64.194)
Epoch: [12][8300/14090]	Time 0.866 (0.767)	Data 0.001 (0.001)	Loss 2.7450 (2.7786)	Prec@1 36.719 (33.882)	Prec@5 64.844 (64.194)
Epoch: [12][8310/14090]	Time 0.755 (0.767)	Data 0.002 (0.001)	Loss 2.8473 (2.7787)	Prec@1 32.812 (33.881)	Prec@5 67.188 (64.194)
Epoch: [12][8320/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 2.5690 (2.7786)	Prec@1 35.156 (33.880)	Prec@5 71.094 (64.195)
Epoch: [12][8330/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.8456 (2.7787)	Prec@1 28.906 (33.877)	Prec@5 60.156 (64.190)
Epoch: [12][8340/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 2.4713 (2.7787)	Prec@1 36.719 (33.875)	Prec@5 68.750 (64.190)
Epoch: [12][8350/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.7405 (2.7787)	Prec@1 32.812 (33.877)	Prec@5 67.188 (64.191)
Epoch: [12][8360/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 2.7200 (2.7787)	Prec@1 31.250 (33.877)	Prec@5 65.625 (64.192)
Epoch: [12][8370/14090]	Time 0.876 (0.767)	Data 0.001 (0.001)	Loss 2.9222 (2.7787)	Prec@1 37.500 (33.877)	Prec@5 58.594 (64.190)
Epoch: [12][8380/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 2.6483 (2.7787)	Prec@1 38.281 (33.878)	Prec@5 66.406 (64.190)
Epoch: [12][8390/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 2.8854 (2.7787)	Prec@1 34.375 (33.879)	Prec@5 65.625 (64.190)
Epoch: [12][8400/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 2.5021 (2.7787)	Prec@1 39.062 (33.880)	Prec@5 67.969 (64.190)
Epoch: [12][8410/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 2.7594 (2.7787)	Prec@1 31.250 (33.881)	Prec@5 61.719 (64.189)
Epoch: [12][8420/14090]	Time 0.727 (0.767)	Data 0.001 (0.001)	Loss 2.7183 (2.7787)	Prec@1 33.594 (33.882)	Prec@5 62.500 (64.191)
Epoch: [12][8430/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 2.4294 (2.7785)	Prec@1 34.375 (33.885)	Prec@5 71.094 (64.193)
Epoch: [12][8440/14090]	Time 0.859 (0.767)	Data 0.001 (0.001)	Loss 2.7286 (2.7786)	Prec@1 30.469 (33.885)	Prec@5 62.500 (64.193)
Epoch: [12][8450/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 2.7138 (2.7786)	Prec@1 27.344 (33.885)	Prec@5 66.406 (64.193)
Epoch: [12][8460/14090]	Time 0.727 (0.767)	Data 0.001 (0.001)	Loss 2.7271 (2.7785)	Prec@1 34.375 (33.886)	Prec@5 63.281 (64.194)
Epoch: [12][8470/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 2.3114 (2.7784)	Prec@1 38.281 (33.889)	Prec@5 75.000 (64.195)
Epoch: [12][8480/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 3.2183 (2.7783)	Prec@1 27.344 (33.891)	Prec@5 56.250 (64.197)
Epoch: [12][8490/14090]	Time 0.769 (0.767)	Data 0.001 (0.001)	Loss 2.6469 (2.7783)	Prec@1 39.062 (33.894)	Prec@5 60.938 (64.197)
Epoch: [12][8500/14090]	Time 0.777 (0.767)	Data 0.001 (0.001)	Loss 2.9418 (2.7782)	Prec@1 29.688 (33.894)	Prec@5 60.938 (64.200)
Epoch: [12][8510/14090]	Time 0.884 (0.767)	Data 0.001 (0.001)	Loss 2.9516 (2.7783)	Prec@1 28.125 (33.891)	Prec@5 63.281 (64.199)
Epoch: [12][8520/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 2.8871 (2.7783)	Prec@1 26.562 (33.888)	Prec@5 59.375 (64.199)
Epoch: [12][8530/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 2.7427 (2.7783)	Prec@1 37.500 (33.886)	Prec@5 63.281 (64.197)
Epoch: [12][8540/14090]	Time 0.766 (0.767)	Data 0.001 (0.001)	Loss 3.0329 (2.7783)	Prec@1 32.812 (33.888)	Prec@5 60.938 (64.198)
Epoch: [12][8550/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 2.8614 (2.7784)	Prec@1 30.469 (33.885)	Prec@5 63.281 (64.197)
Epoch: [12][8560/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 2.9842 (2.7784)	Prec@1 35.938 (33.889)	Prec@5 61.719 (64.196)
Epoch: [12][8570/14090]	Time 0.724 (0.767)	Data 0.001 (0.001)	Loss 3.0016 (2.7785)	Prec@1 28.906 (33.887)	Prec@5 60.938 (64.194)
Epoch: [12][8580/14090]	Time 0.855 (0.767)	Data 0.001 (0.001)	Loss 2.9749 (2.7785)	Prec@1 29.688 (33.887)	Prec@5 59.375 (64.192)
Epoch: [12][8590/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 2.7025 (2.7785)	Prec@1 30.469 (33.887)	Prec@5 64.844 (64.195)
Epoch: [12][8600/14090]	Time 0.753 (0.767)	Data 0.002 (0.001)	Loss 2.5613 (2.7785)	Prec@1 32.812 (33.884)	Prec@5 67.969 (64.194)
Epoch: [12][8610/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 2.9566 (2.7784)	Prec@1 29.688 (33.886)	Prec@5 57.031 (64.198)
Epoch: [12][8620/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 3.0001 (2.7785)	Prec@1 27.344 (33.884)	Prec@5 53.906 (64.196)
Epoch: [12][8630/14090]	Time 0.768 (0.767)	Data 0.001 (0.001)	Loss 2.7435 (2.7784)	Prec@1 31.250 (33.884)	Prec@5 63.281 (64.200)
Epoch: [12][8640/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 2.6781 (2.7785)	Prec@1 37.500 (33.884)	Prec@5 65.625 (64.199)
Epoch: [12][8650/14090]	Time 0.898 (0.767)	Data 0.001 (0.001)	Loss 3.0458 (2.7786)	Prec@1 24.219 (33.883)	Prec@5 56.250 (64.197)
Epoch: [12][8660/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 2.7878 (2.7786)	Prec@1 33.594 (33.884)	Prec@5 64.062 (64.196)
Epoch: [12][8670/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 2.6698 (2.7785)	Prec@1 32.031 (33.886)	Prec@5 69.531 (64.198)
Epoch: [12][8680/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 2.8502 (2.7785)	Prec@1 29.688 (33.886)	Prec@5 62.500 (64.197)
Epoch: [12][8690/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 2.6192 (2.7786)	Prec@1 31.250 (33.883)	Prec@5 66.406 (64.196)
Epoch: [12][8700/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 2.8559 (2.7787)	Prec@1 34.375 (33.882)	Prec@5 64.062 (64.195)
Epoch: [12][8710/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 2.7784 (2.7788)	Prec@1 32.031 (33.879)	Prec@5 62.500 (64.193)
Epoch: [12][8720/14090]	Time 0.886 (0.767)	Data 0.001 (0.001)	Loss 2.8812 (2.7788)	Prec@1 35.938 (33.877)	Prec@5 61.719 (64.193)
Epoch: [12][8730/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 2.8108 (2.7789)	Prec@1 35.156 (33.876)	Prec@5 60.156 (64.192)
Epoch: [12][8740/14090]	Time 0.764 (0.767)	Data 0.001 (0.001)	Loss 2.6950 (2.7789)	Prec@1 37.500 (33.875)	Prec@5 67.188 (64.192)
Epoch: [12][8750/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.8516 (2.7789)	Prec@1 32.812 (33.873)	Prec@5 63.281 (64.193)
Epoch: [12][8760/14090]	Time 0.776 (0.767)	Data 0.001 (0.001)	Loss 2.7310 (2.7788)	Prec@1 36.719 (33.873)	Prec@5 64.844 (64.193)
Epoch: [12][8770/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 2.9051 (2.7788)	Prec@1 27.344 (33.874)	Prec@5 64.844 (64.194)
Epoch: [12][8780/14090]	Time 0.781 (0.767)	Data 0.001 (0.001)	Loss 2.9684 (2.7787)	Prec@1 28.906 (33.874)	Prec@5 60.156 (64.196)
Epoch: [12][8790/14090]	Time 0.853 (0.767)	Data 0.001 (0.001)	Loss 2.7940 (2.7787)	Prec@1 34.375 (33.876)	Prec@5 66.406 (64.197)
Epoch: [12][8800/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 2.6078 (2.7788)	Prec@1 38.281 (33.875)	Prec@5 66.406 (64.195)
Epoch: [12][8810/14090]	Time 0.783 (0.767)	Data 0.001 (0.001)	Loss 2.7662 (2.7788)	Prec@1 28.125 (33.874)	Prec@5 64.844 (64.195)
Epoch: [12][8820/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 2.5538 (2.7788)	Prec@1 39.844 (33.875)	Prec@5 67.188 (64.196)
Epoch: [12][8830/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 2.8524 (2.7788)	Prec@1 36.719 (33.874)	Prec@5 61.719 (64.195)
Epoch: [12][8840/14090]	Time 0.766 (0.767)	Data 0.001 (0.001)	Loss 2.7253 (2.7787)	Prec@1 35.938 (33.874)	Prec@5 64.062 (64.198)
Epoch: [12][8850/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 2.4118 (2.7787)	Prec@1 42.188 (33.874)	Prec@5 71.094 (64.197)
Epoch: [12][8860/14090]	Time 0.867 (0.767)	Data 0.001 (0.001)	Loss 2.9034 (2.7787)	Prec@1 35.938 (33.871)	Prec@5 60.156 (64.195)
Epoch: [12][8870/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 2.8921 (2.7787)	Prec@1 33.594 (33.872)	Prec@5 60.156 (64.194)
Epoch: [12][8880/14090]	Time 0.764 (0.767)	Data 0.001 (0.001)	Loss 2.8092 (2.7787)	Prec@1 32.031 (33.871)	Prec@5 60.938 (64.193)
Epoch: [12][8890/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 2.9244 (2.7787)	Prec@1 29.688 (33.870)	Prec@5 60.938 (64.191)
Epoch: [12][8900/14090]	Time 0.763 (0.767)	Data 0.001 (0.001)	Loss 2.7263 (2.7788)	Prec@1 35.156 (33.871)	Prec@5 63.281 (64.191)
Epoch: [12][8910/14090]	Time 0.772 (0.767)	Data 0.001 (0.001)	Loss 3.0133 (2.7789)	Prec@1 28.125 (33.870)	Prec@5 59.375 (64.191)
Epoch: [12][8920/14090]	Time 0.776 (0.767)	Data 0.001 (0.001)	Loss 2.6528 (2.7790)	Prec@1 31.250 (33.870)	Prec@5 73.438 (64.191)
Epoch: [12][8930/14090]	Time 0.865 (0.767)	Data 0.001 (0.001)	Loss 2.8765 (2.7790)	Prec@1 29.688 (33.869)	Prec@5 64.062 (64.191)
Epoch: [12][8940/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 2.9465 (2.7790)	Prec@1 30.469 (33.870)	Prec@5 57.812 (64.192)
Epoch: [12][8950/14090]	Time 0.774 (0.767)	Data 0.001 (0.001)	Loss 2.8926 (2.7790)	Prec@1 32.031 (33.871)	Prec@5 60.938 (64.194)
Epoch: [12][8960/14090]	Time 0.774 (0.767)	Data 0.001 (0.001)	Loss 2.8727 (2.7790)	Prec@1 34.375 (33.870)	Prec@5 63.281 (64.194)
Epoch: [12][8970/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.9295 (2.7790)	Prec@1 28.125 (33.871)	Prec@5 64.844 (64.195)
Epoch: [12][8980/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 2.6514 (2.7789)	Prec@1 34.375 (33.873)	Prec@5 66.406 (64.198)
Epoch: [12][8990/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 2.5187 (2.7789)	Prec@1 38.281 (33.873)	Prec@5 67.188 (64.196)
Epoch: [12][9000/14090]	Time 0.865 (0.767)	Data 0.001 (0.001)	Loss 2.6451 (2.7789)	Prec@1 34.375 (33.874)	Prec@5 67.188 (64.196)
Epoch: [12][9010/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 3.2027 (2.7789)	Prec@1 26.562 (33.872)	Prec@5 60.156 (64.197)
Epoch: [12][9020/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 2.6530 (2.7788)	Prec@1 39.062 (33.877)	Prec@5 63.281 (64.197)
Epoch: [12][9030/14090]	Time 0.767 (0.767)	Data 0.001 (0.001)	Loss 2.7157 (2.7788)	Prec@1 35.156 (33.877)	Prec@5 66.406 (64.199)
Epoch: [12][9040/14090]	Time 0.784 (0.767)	Data 0.001 (0.001)	Loss 2.6506 (2.7788)	Prec@1 28.906 (33.875)	Prec@5 74.219 (64.199)
Epoch: [12][9050/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 3.0146 (2.7789)	Prec@1 32.812 (33.872)	Prec@5 54.688 (64.196)
Epoch: [12][9060/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.6934 (2.7789)	Prec@1 34.375 (33.872)	Prec@5 64.844 (64.195)
Epoch: [12][9070/14090]	Time 0.848 (0.767)	Data 0.001 (0.001)	Loss 2.8775 (2.7789)	Prec@1 29.688 (33.874)	Prec@5 64.062 (64.196)
Epoch: [12][9080/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 2.8779 (2.7789)	Prec@1 32.812 (33.873)	Prec@5 58.594 (64.193)
Epoch: [12][9090/14090]	Time 0.774 (0.767)	Data 0.001 (0.001)	Loss 2.7546 (2.7789)	Prec@1 33.594 (33.873)	Prec@5 64.062 (64.193)
Epoch: [12][9100/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 3.0009 (2.7790)	Prec@1 32.812 (33.875)	Prec@5 60.938 (64.191)
Epoch: [12][9110/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 2.9515 (2.7790)	Prec@1 32.812 (33.874)	Prec@5 58.594 (64.191)
Epoch: [12][9120/14090]	Time 0.764 (0.767)	Data 0.001 (0.001)	Loss 2.7327 (2.7790)	Prec@1 37.500 (33.873)	Prec@5 67.969 (64.193)
Epoch: [12][9130/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 2.7028 (2.7790)	Prec@1 33.594 (33.872)	Prec@5 64.844 (64.193)
Epoch: [12][9140/14090]	Time 0.843 (0.767)	Data 0.001 (0.001)	Loss 2.7505 (2.7790)	Prec@1 37.500 (33.874)	Prec@5 64.844 (64.191)
Epoch: [12][9150/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 2.8431 (2.7789)	Prec@1 28.906 (33.876)	Prec@5 61.719 (64.192)
Epoch: [12][9160/14090]	Time 0.723 (0.767)	Data 0.001 (0.001)	Loss 2.7462 (2.7790)	Prec@1 32.812 (33.875)	Prec@5 62.500 (64.189)
Epoch: [12][9170/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 2.9551 (2.7790)	Prec@1 28.906 (33.875)	Prec@5 58.594 (64.189)
Epoch: [12][9180/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 2.8115 (2.7791)	Prec@1 39.062 (33.875)	Prec@5 68.750 (64.186)
Epoch: [12][9190/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 2.7604 (2.7791)	Prec@1 37.500 (33.875)	Prec@5 67.969 (64.187)
Epoch: [12][9200/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 2.6709 (2.7791)	Prec@1 32.031 (33.875)	Prec@5 70.312 (64.188)
Epoch: [12][9210/14090]	Time 0.926 (0.767)	Data 0.001 (0.001)	Loss 2.9796 (2.7791)	Prec@1 31.250 (33.876)	Prec@5 59.375 (64.189)
Epoch: [12][9220/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 2.5132 (2.7791)	Prec@1 42.969 (33.877)	Prec@5 68.750 (64.189)
Epoch: [12][9230/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 3.0926 (2.7790)	Prec@1 26.562 (33.877)	Prec@5 58.594 (64.190)
Epoch: [12][9240/14090]	Time 0.790 (0.767)	Data 0.001 (0.001)	Loss 2.6067 (2.7791)	Prec@1 32.031 (33.875)	Prec@5 67.188 (64.191)
Epoch: [12][9250/14090]	Time 0.724 (0.767)	Data 0.001 (0.001)	Loss 2.2906 (2.7791)	Prec@1 41.406 (33.876)	Prec@5 75.000 (64.190)
Epoch: [12][9260/14090]	Time 0.777 (0.767)	Data 0.001 (0.001)	Loss 2.3746 (2.7790)	Prec@1 42.969 (33.878)	Prec@5 72.656 (64.193)
Epoch: [12][9270/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 2.8861 (2.7790)	Prec@1 33.594 (33.877)	Prec@5 64.062 (64.193)
Epoch: [12][9280/14090]	Time 0.865 (0.767)	Data 0.001 (0.001)	Loss 2.5298 (2.7790)	Prec@1 40.625 (33.878)	Prec@5 69.531 (64.195)
Epoch: [12][9290/14090]	Time 0.724 (0.767)	Data 0.001 (0.001)	Loss 2.7275 (2.7790)	Prec@1 32.031 (33.878)	Prec@5 64.844 (64.196)
Epoch: [12][9300/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.6227 (2.7789)	Prec@1 37.500 (33.881)	Prec@5 67.188 (64.198)
Epoch: [12][9310/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 2.6322 (2.7789)	Prec@1 38.281 (33.880)	Prec@5 64.062 (64.197)
Epoch: [12][9320/14090]	Time 0.772 (0.767)	Data 0.001 (0.001)	Loss 2.8171 (2.7789)	Prec@1 31.250 (33.880)	Prec@5 60.938 (64.198)
Epoch: [12][9330/14090]	Time 0.725 (0.767)	Data 0.001 (0.001)	Loss 2.8778 (2.7790)	Prec@1 32.031 (33.879)	Prec@5 60.156 (64.195)
Epoch: [12][9340/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 2.8630 (2.7790)	Prec@1 37.500 (33.878)	Prec@5 60.938 (64.197)
Epoch: [12][9350/14090]	Time 0.854 (0.767)	Data 0.001 (0.001)	Loss 2.7585 (2.7789)	Prec@1 38.281 (33.880)	Prec@5 64.062 (64.197)
Epoch: [12][9360/14090]	Time 0.772 (0.767)	Data 0.001 (0.001)	Loss 2.9267 (2.7788)	Prec@1 32.031 (33.882)	Prec@5 57.812 (64.197)
Epoch: [12][9370/14090]	Time 0.781 (0.767)	Data 0.001 (0.001)	Loss 2.7809 (2.7789)	Prec@1 32.812 (33.880)	Prec@5 65.625 (64.197)
Epoch: [12][9380/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 2.7387 (2.7788)	Prec@1 35.938 (33.882)	Prec@5 64.062 (64.200)
Epoch: [12][9390/14090]	Time 0.786 (0.767)	Data 0.001 (0.001)	Loss 2.8119 (2.7787)	Prec@1 30.469 (33.884)	Prec@5 68.750 (64.200)
Epoch: [12][9400/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 2.8845 (2.7787)	Prec@1 30.469 (33.883)	Prec@5 58.594 (64.200)
Epoch: [12][9410/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 2.7065 (2.7786)	Prec@1 37.500 (33.884)	Prec@5 64.062 (64.201)
Epoch: [12][9420/14090]	Time 0.834 (0.767)	Data 0.001 (0.001)	Loss 2.9032 (2.7785)	Prec@1 27.344 (33.884)	Prec@5 60.938 (64.202)
Epoch: [12][9430/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 2.9946 (2.7786)	Prec@1 31.250 (33.885)	Prec@5 57.812 (64.201)
Epoch: [12][9440/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.9107 (2.7786)	Prec@1 35.938 (33.885)	Prec@5 64.062 (64.201)
Epoch: [12][9450/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 2.5745 (2.7785)	Prec@1 34.375 (33.885)	Prec@5 69.531 (64.202)
Epoch: [12][9460/14090]	Time 0.772 (0.767)	Data 0.001 (0.001)	Loss 2.9590 (2.7786)	Prec@1 26.562 (33.884)	Prec@5 62.500 (64.202)
Epoch: [12][9470/14090]	Time 0.786 (0.767)	Data 0.001 (0.001)	Loss 2.4902 (2.7785)	Prec@1 35.938 (33.885)	Prec@5 67.969 (64.205)
Epoch: [12][9480/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 2.7655 (2.7784)	Prec@1 34.375 (33.884)	Prec@5 64.062 (64.206)
Epoch: [12][9490/14090]	Time 0.910 (0.767)	Data 0.001 (0.001)	Loss 2.7301 (2.7784)	Prec@1 28.125 (33.885)	Prec@5 65.625 (64.208)
Epoch: [12][9500/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 3.0681 (2.7783)	Prec@1 30.469 (33.884)	Prec@5 57.812 (64.210)
Epoch: [12][9510/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 3.0638 (2.7782)	Prec@1 35.156 (33.886)	Prec@5 57.812 (64.212)
Epoch: [12][9520/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 2.8913 (2.7782)	Prec@1 35.156 (33.887)	Prec@5 60.938 (64.212)
Epoch: [12][9530/14090]	Time 0.726 (0.767)	Data 0.001 (0.001)	Loss 2.6769 (2.7783)	Prec@1 37.500 (33.887)	Prec@5 71.094 (64.213)
Epoch: [12][9540/14090]	Time 0.766 (0.767)	Data 0.001 (0.001)	Loss 2.6180 (2.7783)	Prec@1 35.938 (33.888)	Prec@5 64.844 (64.213)
Epoch: [12][9550/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 2.6974 (2.7783)	Prec@1 37.500 (33.887)	Prec@5 69.531 (64.213)
Epoch: [12][9560/14090]	Time 0.879 (0.767)	Data 0.001 (0.001)	Loss 2.9472 (2.7783)	Prec@1 26.562 (33.886)	Prec@5 62.500 (64.212)
Epoch: [12][9570/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 2.8174 (2.7783)	Prec@1 35.938 (33.887)	Prec@5 61.719 (64.212)
Epoch: [12][9580/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 3.0421 (2.7783)	Prec@1 28.906 (33.886)	Prec@5 61.719 (64.214)
Epoch: [12][9590/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 2.5183 (2.7783)	Prec@1 38.281 (33.886)	Prec@5 72.656 (64.215)
Epoch: [12][9600/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.6698 (2.7784)	Prec@1 35.938 (33.884)	Prec@5 68.750 (64.214)
Epoch: [12][9610/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 2.6877 (2.7785)	Prec@1 35.938 (33.887)	Prec@5 66.406 (64.213)
Epoch: [12][9620/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 2.9848 (2.7785)	Prec@1 28.906 (33.885)	Prec@5 60.156 (64.212)
Epoch: [12][9630/14090]	Time 0.828 (0.767)	Data 0.001 (0.001)	Loss 2.9981 (2.7784)	Prec@1 33.594 (33.889)	Prec@5 60.156 (64.215)
Epoch: [12][9640/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 2.7662 (2.7784)	Prec@1 30.469 (33.888)	Prec@5 62.500 (64.215)
Epoch: [12][9650/14090]	Time 0.771 (0.767)	Data 0.001 (0.001)	Loss 2.6993 (2.7785)	Prec@1 39.844 (33.889)	Prec@5 66.406 (64.215)
Epoch: [12][9660/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 3.0474 (2.7785)	Prec@1 30.469 (33.887)	Prec@5 56.250 (64.212)
Epoch: [12][9670/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 2.8280 (2.7786)	Prec@1 31.250 (33.888)	Prec@5 64.844 (64.212)
Epoch: [12][9680/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 2.7337 (2.7786)	Prec@1 32.812 (33.888)	Prec@5 63.281 (64.211)
Epoch: [12][9690/14090]	Time 0.768 (0.767)	Data 0.001 (0.001)	Loss 2.8535 (2.7786)	Prec@1 29.688 (33.889)	Prec@5 54.688 (64.209)
Epoch: [12][9700/14090]	Time 0.838 (0.767)	Data 0.001 (0.001)	Loss 2.9477 (2.7787)	Prec@1 25.781 (33.884)	Prec@5 64.062 (64.207)
Epoch: [12][9710/14090]	Time 0.773 (0.767)	Data 0.001 (0.001)	Loss 2.9360 (2.7788)	Prec@1 33.594 (33.883)	Prec@5 63.281 (64.207)
Epoch: [12][9720/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.6573 (2.7788)	Prec@1 32.812 (33.881)	Prec@5 68.750 (64.207)
Epoch: [12][9730/14090]	Time 0.763 (0.767)	Data 0.001 (0.001)	Loss 2.9755 (2.7788)	Prec@1 29.688 (33.880)	Prec@5 63.281 (64.208)
Epoch: [12][9740/14090]	Time 0.766 (0.767)	Data 0.001 (0.001)	Loss 2.8393 (2.7789)	Prec@1 31.250 (33.879)	Prec@5 61.719 (64.206)
Epoch: [12][9750/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 2.6368 (2.7788)	Prec@1 33.594 (33.880)	Prec@5 67.188 (64.206)
Epoch: [12][9760/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 2.7219 (2.7788)	Prec@1 32.812 (33.879)	Prec@5 61.719 (64.208)
Epoch: [12][9770/14090]	Time 0.854 (0.767)	Data 0.001 (0.001)	Loss 2.6701 (2.7788)	Prec@1 42.969 (33.880)	Prec@5 64.062 (64.207)
Epoch: [12][9780/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 2.5869 (2.7787)	Prec@1 39.844 (33.881)	Prec@5 67.969 (64.209)
Epoch: [12][9790/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 3.1023 (2.7787)	Prec@1 22.656 (33.880)	Prec@5 60.156 (64.209)
Epoch: [12][9800/14090]	Time 0.784 (0.767)	Data 0.001 (0.001)	Loss 2.4327 (2.7787)	Prec@1 41.406 (33.880)	Prec@5 71.094 (64.208)
Epoch: [12][9810/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 2.5078 (2.7787)	Prec@1 38.281 (33.881)	Prec@5 67.969 (64.210)
Epoch: [12][9820/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.7746 (2.7787)	Prec@1 37.500 (33.882)	Prec@5 63.281 (64.210)
Epoch: [12][9830/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 2.5892 (2.7786)	Prec@1 33.594 (33.883)	Prec@5 70.312 (64.213)
Epoch: [12][9840/14090]	Time 0.862 (0.767)	Data 0.001 (0.001)	Loss 2.8676 (2.7786)	Prec@1 28.125 (33.882)	Prec@5 60.156 (64.213)
Epoch: [12][9850/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 2.8451 (2.7786)	Prec@1 32.812 (33.881)	Prec@5 62.500 (64.212)
Epoch: [12][9860/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 2.8028 (2.7787)	Prec@1 33.594 (33.881)	Prec@5 60.938 (64.210)
Epoch: [12][9870/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 2.6524 (2.7786)	Prec@1 34.375 (33.883)	Prec@5 67.969 (64.212)
Epoch: [12][9880/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 2.5928 (2.7786)	Prec@1 35.156 (33.884)	Prec@5 67.188 (64.212)
Epoch: [12][9890/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 2.5626 (2.7786)	Prec@1 39.062 (33.884)	Prec@5 66.406 (64.212)
Epoch: [12][9900/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 2.8007 (2.7787)	Prec@1 34.375 (33.882)	Prec@5 63.281 (64.212)
Epoch: [12][9910/14090]	Time 0.867 (0.767)	Data 0.001 (0.001)	Loss 3.0291 (2.7788)	Prec@1 28.125 (33.879)	Prec@5 57.031 (64.208)
Epoch: [12][9920/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 2.8738 (2.7789)	Prec@1 30.469 (33.878)	Prec@5 59.375 (64.205)
Epoch: [12][9930/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 2.8577 (2.7788)	Prec@1 31.250 (33.879)	Prec@5 58.594 (64.205)
Epoch: [12][9940/14090]	Time 0.727 (0.767)	Data 0.001 (0.001)	Loss 2.8912 (2.7788)	Prec@1 30.469 (33.878)	Prec@5 57.031 (64.204)
Epoch: [12][9950/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 2.8024 (2.7788)	Prec@1 32.031 (33.877)	Prec@5 58.594 (64.203)
Epoch: [12][9960/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 2.8886 (2.7788)	Prec@1 30.469 (33.877)	Prec@5 60.938 (64.203)
Epoch: [12][9970/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.6765 (2.7787)	Prec@1 39.844 (33.878)	Prec@5 63.281 (64.205)
Epoch: [12][9980/14090]	Time 0.863 (0.767)	Data 0.001 (0.001)	Loss 2.6610 (2.7787)	Prec@1 39.062 (33.878)	Prec@5 70.312 (64.205)
Epoch: [12][9990/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 2.5546 (2.7787)	Prec@1 37.500 (33.880)	Prec@5 67.188 (64.204)
Epoch: [12][10000/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 2.7418 (2.7787)	Prec@1 35.156 (33.880)	Prec@5 64.062 (64.203)
Epoch: [12][10010/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 2.7933 (2.7786)	Prec@1 32.812 (33.882)	Prec@5 66.406 (64.205)
Epoch: [12][10020/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.7226 (2.7787)	Prec@1 34.375 (33.878)	Prec@5 64.062 (64.203)
Epoch: [12][10030/14090]	Time 0.727 (0.767)	Data 0.001 (0.001)	Loss 3.0689 (2.7788)	Prec@1 31.250 (33.878)	Prec@5 53.906 (64.201)
Epoch: [12][10040/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 2.8314 (2.7788)	Prec@1 33.594 (33.877)	Prec@5 60.156 (64.201)
Epoch: [12][10050/14090]	Time 0.873 (0.767)	Data 0.001 (0.001)	Loss 2.8111 (2.7787)	Prec@1 37.500 (33.878)	Prec@5 63.281 (64.203)
Epoch: [12][10060/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 2.8506 (2.7787)	Prec@1 29.688 (33.877)	Prec@5 64.844 (64.202)
Epoch: [12][10070/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 2.8639 (2.7787)	Prec@1 38.281 (33.877)	Prec@5 62.500 (64.203)
Epoch: [12][10080/14090]	Time 0.782 (0.767)	Data 0.001 (0.001)	Loss 2.6493 (2.7787)	Prec@1 32.812 (33.877)	Prec@5 66.406 (64.205)
Epoch: [12][10090/14090]	Time 0.772 (0.767)	Data 0.001 (0.001)	Loss 2.6761 (2.7788)	Prec@1 34.375 (33.874)	Prec@5 67.969 (64.202)
Epoch: [12][10100/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 2.5490 (2.7788)	Prec@1 37.500 (33.874)	Prec@5 70.312 (64.202)
Epoch: [12][10110/14090]	Time 0.777 (0.767)	Data 0.001 (0.001)	Loss 2.5703 (2.7787)	Prec@1 40.625 (33.875)	Prec@5 63.281 (64.203)
Epoch: [12][10120/14090]	Time 0.860 (0.767)	Data 0.001 (0.001)	Loss 2.8977 (2.7787)	Prec@1 28.125 (33.873)	Prec@5 57.812 (64.203)
Epoch: [12][10130/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 3.0916 (2.7788)	Prec@1 27.344 (33.872)	Prec@5 49.219 (64.201)
Epoch: [12][10140/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.7340 (2.7788)	Prec@1 37.500 (33.873)	Prec@5 67.188 (64.201)
Epoch: [12][10150/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 3.1290 (2.7789)	Prec@1 28.125 (33.872)	Prec@5 57.031 (64.201)
Epoch: [12][10160/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 2.6313 (2.7789)	Prec@1 39.062 (33.872)	Prec@5 65.625 (64.201)
Epoch: [12][10170/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 2.6237 (2.7789)	Prec@1 43.750 (33.870)	Prec@5 65.625 (64.201)
Epoch: [12][10180/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 2.7091 (2.7789)	Prec@1 35.938 (33.871)	Prec@5 65.625 (64.203)
Epoch: [12][10190/14090]	Time 0.863 (0.767)	Data 0.001 (0.001)	Loss 2.5977 (2.7789)	Prec@1 39.844 (33.871)	Prec@5 64.062 (64.201)
Epoch: [12][10200/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 2.7888 (2.7789)	Prec@1 32.812 (33.871)	Prec@5 65.625 (64.200)
Epoch: [12][10210/14090]	Time 0.785 (0.767)	Data 0.001 (0.001)	Loss 2.9638 (2.7789)	Prec@1 31.250 (33.871)	Prec@5 60.156 (64.200)
Epoch: [12][10220/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 3.0922 (2.7790)	Prec@1 26.562 (33.869)	Prec@5 54.688 (64.200)
Epoch: [12][10230/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 2.7788 (2.7790)	Prec@1 32.031 (33.869)	Prec@5 63.281 (64.199)
Epoch: [12][10240/14090]	Time 0.722 (0.767)	Data 0.001 (0.001)	Loss 2.7658 (2.7789)	Prec@1 33.594 (33.871)	Prec@5 61.719 (64.201)
Epoch: [12][10250/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.6584 (2.7788)	Prec@1 39.844 (33.873)	Prec@5 69.531 (64.204)
Epoch: [12][10260/14090]	Time 0.852 (0.767)	Data 0.001 (0.001)	Loss 2.5425 (2.7786)	Prec@1 38.281 (33.875)	Prec@5 72.656 (64.208)
Epoch: [12][10270/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.4757 (2.7786)	Prec@1 43.750 (33.874)	Prec@5 70.312 (64.208)
Epoch: [12][10280/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 3.0933 (2.7786)	Prec@1 28.906 (33.873)	Prec@5 60.938 (64.209)
Epoch: [12][10290/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 2.5563 (2.7787)	Prec@1 44.531 (33.873)	Prec@5 67.188 (64.207)
Epoch: [12][10300/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 2.5415 (2.7787)	Prec@1 36.719 (33.874)	Prec@5 68.750 (64.207)
Epoch: [12][10310/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 2.8625 (2.7787)	Prec@1 31.250 (33.875)	Prec@5 65.625 (64.208)
Epoch: [12][10320/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.9601 (2.7787)	Prec@1 35.156 (33.875)	Prec@5 60.938 (64.208)
Epoch: [12][10330/14090]	Time 0.872 (0.767)	Data 0.002 (0.001)	Loss 2.6248 (2.7786)	Prec@1 33.594 (33.877)	Prec@5 69.531 (64.210)
Epoch: [12][10340/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.7747 (2.7787)	Prec@1 34.375 (33.876)	Prec@5 65.625 (64.209)
Epoch: [12][10350/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 2.8232 (2.7787)	Prec@1 35.156 (33.877)	Prec@5 60.156 (64.209)
Epoch: [12][10360/14090]	Time 0.724 (0.767)	Data 0.001 (0.001)	Loss 2.6114 (2.7787)	Prec@1 40.625 (33.877)	Prec@5 67.969 (64.209)
Epoch: [12][10370/14090]	Time 0.766 (0.767)	Data 0.001 (0.001)	Loss 2.9702 (2.7788)	Prec@1 31.250 (33.876)	Prec@5 58.594 (64.210)
Epoch: [12][10380/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 3.0851 (2.7788)	Prec@1 30.469 (33.876)	Prec@5 57.812 (64.210)
Epoch: [12][10390/14090]	Time 0.783 (0.767)	Data 0.001 (0.001)	Loss 2.6515 (2.7787)	Prec@1 34.375 (33.877)	Prec@5 68.750 (64.211)
Epoch: [12][10400/14090]	Time 0.852 (0.767)	Data 0.001 (0.001)	Loss 2.7544 (2.7788)	Prec@1 30.469 (33.876)	Prec@5 61.719 (64.209)
Epoch: [12][10410/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 3.0266 (2.7789)	Prec@1 34.375 (33.875)	Prec@5 60.156 (64.209)
Epoch: [12][10420/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.8079 (2.7788)	Prec@1 30.469 (33.876)	Prec@5 64.062 (64.208)
Epoch: [12][10430/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 3.0747 (2.7789)	Prec@1 32.031 (33.876)	Prec@5 57.031 (64.206)
Epoch: [12][10440/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 2.5349 (2.7789)	Prec@1 42.969 (33.876)	Prec@5 70.312 (64.207)
Epoch: [12][10450/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 2.7965 (2.7789)	Prec@1 32.031 (33.876)	Prec@5 60.938 (64.206)
Epoch: [12][10460/14090]	Time 0.780 (0.767)	Data 0.001 (0.001)	Loss 2.8980 (2.7790)	Prec@1 35.938 (33.875)	Prec@5 65.625 (64.205)
Epoch: [12][10470/14090]	Time 0.849 (0.767)	Data 0.001 (0.001)	Loss 2.6415 (2.7789)	Prec@1 39.062 (33.875)	Prec@5 66.406 (64.205)
Epoch: [12][10480/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 2.6123 (2.7789)	Prec@1 34.375 (33.877)	Prec@5 66.406 (64.207)
Epoch: [12][10490/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 2.8320 (2.7789)	Prec@1 32.812 (33.878)	Prec@5 63.281 (64.205)
Epoch: [12][10500/14090]	Time 0.780 (0.767)	Data 0.001 (0.001)	Loss 2.9921 (2.7790)	Prec@1 28.125 (33.876)	Prec@5 60.938 (64.202)
Epoch: [12][10510/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 2.9105 (2.7790)	Prec@1 30.469 (33.876)	Prec@5 63.281 (64.200)
Epoch: [12][10520/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 2.9052 (2.7791)	Prec@1 30.469 (33.874)	Prec@5 61.719 (64.199)
Epoch: [12][10530/14090]	Time 0.766 (0.767)	Data 0.001 (0.001)	Loss 2.8036 (2.7791)	Prec@1 30.469 (33.873)	Prec@5 61.719 (64.199)
Epoch: [12][10540/14090]	Time 0.842 (0.767)	Data 0.001 (0.001)	Loss 2.9879 (2.7792)	Prec@1 29.688 (33.872)	Prec@5 62.500 (64.198)
Epoch: [12][10550/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 2.9250 (2.7792)	Prec@1 32.031 (33.872)	Prec@5 57.812 (64.197)
Epoch: [12][10560/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 2.6713 (2.7792)	Prec@1 35.938 (33.870)	Prec@5 62.500 (64.194)
Epoch: [12][10570/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 2.4943 (2.7792)	Prec@1 39.844 (33.870)	Prec@5 68.750 (64.194)
Epoch: [12][10580/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.9073 (2.7793)	Prec@1 28.125 (33.869)	Prec@5 58.594 (64.194)
Epoch: [12][10590/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 2.9073 (2.7792)	Prec@1 36.719 (33.872)	Prec@5 63.281 (64.195)
Epoch: [12][10600/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 2.6390 (2.7792)	Prec@1 32.031 (33.873)	Prec@5 67.969 (64.196)
Epoch: [12][10610/14090]	Time 0.877 (0.767)	Data 0.001 (0.001)	Loss 2.5359 (2.7791)	Prec@1 40.625 (33.874)	Prec@5 66.406 (64.197)
Epoch: [12][10620/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 2.7497 (2.7791)	Prec@1 37.500 (33.875)	Prec@5 65.625 (64.199)
Epoch: [12][10630/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 2.9842 (2.7791)	Prec@1 33.594 (33.876)	Prec@5 60.938 (64.199)
Epoch: [12][10640/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 2.6823 (2.7790)	Prec@1 32.812 (33.875)	Prec@5 67.969 (64.199)
Epoch: [12][10650/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.6734 (2.7791)	Prec@1 39.062 (33.874)	Prec@5 67.969 (64.197)
Epoch: [12][10660/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.9079 (2.7791)	Prec@1 32.031 (33.873)	Prec@5 61.719 (64.197)
Epoch: [12][10670/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 2.8030 (2.7791)	Prec@1 32.031 (33.873)	Prec@5 65.625 (64.196)
Epoch: [12][10680/14090]	Time 0.843 (0.767)	Data 0.001 (0.001)	Loss 2.6011 (2.7791)	Prec@1 38.281 (33.873)	Prec@5 65.625 (64.197)
Epoch: [12][10690/14090]	Time 0.731 (0.767)	Data 0.002 (0.001)	Loss 3.1061 (2.7791)	Prec@1 30.469 (33.874)	Prec@5 60.156 (64.197)
Epoch: [12][10700/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.8402 (2.7790)	Prec@1 31.250 (33.872)	Prec@5 61.719 (64.198)
Epoch: [12][10710/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 3.0702 (2.7789)	Prec@1 27.344 (33.876)	Prec@5 59.375 (64.200)
Epoch: [12][10720/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 2.6043 (2.7789)	Prec@1 35.938 (33.875)	Prec@5 68.750 (64.201)
Epoch: [12][10730/14090]	Time 0.764 (0.767)	Data 0.001 (0.001)	Loss 3.0256 (2.7789)	Prec@1 31.250 (33.876)	Prec@5 60.938 (64.202)
Epoch: [12][10740/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 2.7880 (2.7789)	Prec@1 32.031 (33.876)	Prec@5 60.938 (64.202)
Epoch: [12][10750/14090]	Time 0.865 (0.767)	Data 0.001 (0.001)	Loss 2.7315 (2.7789)	Prec@1 37.500 (33.877)	Prec@5 66.406 (64.204)
Epoch: [12][10760/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 2.8007 (2.7788)	Prec@1 35.938 (33.878)	Prec@5 63.281 (64.204)
Epoch: [12][10770/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.4668 (2.7788)	Prec@1 32.031 (33.878)	Prec@5 70.312 (64.205)
Epoch: [12][10780/14090]	Time 0.779 (0.767)	Data 0.001 (0.001)	Loss 2.8084 (2.7789)	Prec@1 28.906 (33.877)	Prec@5 60.938 (64.201)
Epoch: [12][10790/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 2.7332 (2.7788)	Prec@1 32.031 (33.877)	Prec@5 66.406 (64.202)
Epoch: [12][10800/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 2.9764 (2.7789)	Prec@1 32.031 (33.876)	Prec@5 60.156 (64.200)
Epoch: [12][10810/14090]	Time 0.776 (0.767)	Data 0.001 (0.001)	Loss 2.7783 (2.7789)	Prec@1 32.031 (33.876)	Prec@5 62.500 (64.200)
Epoch: [12][10820/14090]	Time 0.857 (0.767)	Data 0.001 (0.001)	Loss 2.7873 (2.7789)	Prec@1 28.906 (33.875)	Prec@5 67.188 (64.200)
Epoch: [12][10830/14090]	Time 0.727 (0.767)	Data 0.001 (0.001)	Loss 2.4963 (2.7788)	Prec@1 37.500 (33.876)	Prec@5 70.312 (64.202)
Epoch: [12][10840/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 2.8615 (2.7788)	Prec@1 38.281 (33.876)	Prec@5 61.719 (64.202)
Epoch: [12][10850/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 2.7069 (2.7788)	Prec@1 32.812 (33.875)	Prec@5 69.531 (64.204)
Epoch: [12][10860/14090]	Time 0.724 (0.767)	Data 0.001 (0.001)	Loss 2.8699 (2.7788)	Prec@1 28.906 (33.875)	Prec@5 64.844 (64.204)
Epoch: [12][10870/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.7196 (2.7788)	Prec@1 35.156 (33.875)	Prec@5 63.281 (64.204)
Epoch: [12][10880/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 2.9452 (2.7789)	Prec@1 35.938 (33.872)	Prec@5 64.062 (64.202)
Epoch: [12][10890/14090]	Time 0.844 (0.767)	Data 0.001 (0.001)	Loss 3.0324 (2.7789)	Prec@1 29.688 (33.871)	Prec@5 62.500 (64.202)
Epoch: [12][10900/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 2.8637 (2.7789)	Prec@1 28.906 (33.871)	Prec@5 64.844 (64.203)
Epoch: [12][10910/14090]	Time 0.794 (0.767)	Data 0.001 (0.001)	Loss 2.8810 (2.7789)	Prec@1 32.031 (33.871)	Prec@5 65.625 (64.202)
Epoch: [12][10920/14090]	Time 0.764 (0.767)	Data 0.001 (0.001)	Loss 2.8061 (2.7789)	Prec@1 40.625 (33.871)	Prec@5 65.625 (64.202)
Epoch: [12][10930/14090]	Time 0.764 (0.767)	Data 0.001 (0.001)	Loss 2.9432 (2.7790)	Prec@1 29.688 (33.869)	Prec@5 58.594 (64.201)
Epoch: [12][10940/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 2.8466 (2.7790)	Prec@1 34.375 (33.867)	Prec@5 60.156 (64.199)
Epoch: [12][10950/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 2.6745 (2.7790)	Prec@1 36.719 (33.868)	Prec@5 65.625 (64.199)
Epoch: [12][10960/14090]	Time 0.867 (0.767)	Data 0.001 (0.001)	Loss 2.7114 (2.7790)	Prec@1 33.594 (33.868)	Prec@5 62.500 (64.201)
Epoch: [12][10970/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 2.7835 (2.7789)	Prec@1 37.500 (33.869)	Prec@5 64.062 (64.201)
Epoch: [12][10980/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 2.6951 (2.7790)	Prec@1 32.812 (33.870)	Prec@5 66.406 (64.200)
Epoch: [12][10990/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 2.9576 (2.7790)	Prec@1 29.688 (33.870)	Prec@5 58.594 (64.199)
Epoch: [12][11000/14090]	Time 0.774 (0.767)	Data 0.001 (0.001)	Loss 2.9452 (2.7789)	Prec@1 29.688 (33.870)	Prec@5 60.156 (64.201)
Epoch: [12][11010/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 2.7190 (2.7789)	Prec@1 33.594 (33.870)	Prec@5 67.188 (64.203)
Epoch: [12][11020/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.8115 (2.7789)	Prec@1 33.594 (33.870)	Prec@5 59.375 (64.202)
Epoch: [12][11030/14090]	Time 0.896 (0.767)	Data 0.001 (0.001)	Loss 2.5300 (2.7788)	Prec@1 42.188 (33.871)	Prec@5 69.531 (64.203)
Epoch: [12][11040/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.6104 (2.7788)	Prec@1 37.500 (33.871)	Prec@5 67.188 (64.204)
Epoch: [12][11050/14090]	Time 0.767 (0.767)	Data 0.001 (0.001)	Loss 3.0569 (2.7788)	Prec@1 29.688 (33.872)	Prec@5 60.938 (64.204)
Epoch: [12][11060/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 2.8709 (2.7788)	Prec@1 41.406 (33.873)	Prec@5 64.062 (64.203)
Epoch: [12][11070/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 2.7110 (2.7788)	Prec@1 32.031 (33.873)	Prec@5 64.844 (64.204)
Epoch: [12][11080/14090]	Time 0.726 (0.767)	Data 0.001 (0.001)	Loss 2.8653 (2.7788)	Prec@1 30.469 (33.872)	Prec@5 64.062 (64.203)
Epoch: [12][11090/14090]	Time 0.724 (0.767)	Data 0.001 (0.001)	Loss 2.9799 (2.7788)	Prec@1 33.594 (33.873)	Prec@5 59.375 (64.203)
Epoch: [12][11100/14090]	Time 0.861 (0.767)	Data 0.001 (0.001)	Loss 2.7197 (2.7787)	Prec@1 32.812 (33.875)	Prec@5 61.719 (64.203)
Epoch: [12][11110/14090]	Time 0.782 (0.767)	Data 0.001 (0.001)	Loss 2.7285 (2.7787)	Prec@1 37.500 (33.875)	Prec@5 66.406 (64.203)
Epoch: [12][11120/14090]	Time 0.769 (0.767)	Data 0.001 (0.001)	Loss 2.8552 (2.7788)	Prec@1 26.562 (33.872)	Prec@5 63.281 (64.201)
Epoch: [12][11130/14090]	Time 0.720 (0.767)	Data 0.001 (0.001)	Loss 2.8867 (2.7788)	Prec@1 26.562 (33.873)	Prec@5 61.719 (64.203)
Epoch: [12][11140/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 2.7235 (2.7788)	Prec@1 35.156 (33.875)	Prec@5 61.719 (64.204)
Epoch: [12][11150/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 2.8463 (2.7788)	Prec@1 35.938 (33.874)	Prec@5 60.156 (64.204)
Epoch: [12][11160/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 2.6773 (2.7788)	Prec@1 31.250 (33.874)	Prec@5 64.844 (64.205)
Epoch: [12][11170/14090]	Time 0.857 (0.767)	Data 0.001 (0.001)	Loss 3.0465 (2.7787)	Prec@1 32.812 (33.874)	Prec@5 59.375 (64.206)
Epoch: [12][11180/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.8811 (2.7788)	Prec@1 34.375 (33.871)	Prec@5 61.719 (64.204)
Epoch: [12][11190/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.6716 (2.7789)	Prec@1 35.938 (33.872)	Prec@5 66.406 (64.204)
Epoch: [12][11200/14090]	Time 0.752 (0.766)	Data 0.002 (0.001)	Loss 2.8148 (2.7789)	Prec@1 34.375 (33.870)	Prec@5 64.062 (64.203)
Epoch: [12][11210/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.9177 (2.7790)	Prec@1 35.156 (33.869)	Prec@5 66.406 (64.203)
Epoch: [12][11220/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 2.8273 (2.7790)	Prec@1 32.812 (33.867)	Prec@5 63.281 (64.201)
Epoch: [12][11230/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 2.6248 (2.7790)	Prec@1 34.375 (33.868)	Prec@5 64.844 (64.201)
Epoch: [12][11240/14090]	Time 0.853 (0.767)	Data 0.001 (0.001)	Loss 2.6387 (2.7790)	Prec@1 38.281 (33.868)	Prec@5 67.188 (64.203)
Epoch: [12][11250/14090]	Time 0.722 (0.766)	Data 0.001 (0.001)	Loss 2.8631 (2.7790)	Prec@1 25.781 (33.868)	Prec@5 64.062 (64.203)
Epoch: [12][11260/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.8840 (2.7790)	Prec@1 37.500 (33.868)	Prec@5 63.281 (64.201)
Epoch: [12][11270/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.4413 (2.7789)	Prec@1 40.625 (33.870)	Prec@5 67.969 (64.202)
Epoch: [12][11280/14090]	Time 0.768 (0.766)	Data 0.001 (0.001)	Loss 2.6020 (2.7790)	Prec@1 39.844 (33.870)	Prec@5 69.531 (64.201)
Epoch: [12][11290/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.9767 (2.7790)	Prec@1 35.938 (33.869)	Prec@5 60.938 (64.201)
Epoch: [12][11300/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.9124 (2.7790)	Prec@1 30.469 (33.870)	Prec@5 61.719 (64.202)
Epoch: [12][11310/14090]	Time 0.876 (0.767)	Data 0.001 (0.001)	Loss 2.5814 (2.7789)	Prec@1 37.500 (33.871)	Prec@5 71.094 (64.204)
Epoch: [12][11320/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.7833 (2.7789)	Prec@1 36.719 (33.870)	Prec@5 63.281 (64.202)
Epoch: [12][11330/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.8494 (2.7789)	Prec@1 34.375 (33.869)	Prec@5 63.281 (64.202)
Epoch: [12][11340/14090]	Time 0.780 (0.766)	Data 0.001 (0.001)	Loss 2.9041 (2.7789)	Prec@1 30.469 (33.869)	Prec@5 65.625 (64.203)
Epoch: [12][11350/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.8033 (2.7789)	Prec@1 42.188 (33.871)	Prec@5 63.281 (64.203)
Epoch: [12][11360/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.6505 (2.7789)	Prec@1 35.156 (33.870)	Prec@5 67.969 (64.203)
Epoch: [12][11370/14090]	Time 0.769 (0.766)	Data 0.001 (0.001)	Loss 2.7458 (2.7788)	Prec@1 35.156 (33.871)	Prec@5 67.969 (64.205)
Epoch: [12][11380/14090]	Time 0.826 (0.766)	Data 0.001 (0.001)	Loss 2.6798 (2.7788)	Prec@1 33.594 (33.872)	Prec@5 68.750 (64.206)
Epoch: [12][11390/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.9275 (2.7788)	Prec@1 28.125 (33.872)	Prec@5 57.031 (64.207)
Epoch: [12][11400/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.6896 (2.7789)	Prec@1 33.594 (33.870)	Prec@5 67.188 (64.205)
Epoch: [12][11410/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 2.6740 (2.7789)	Prec@1 37.500 (33.870)	Prec@5 66.406 (64.205)
Epoch: [12][11420/14090]	Time 0.784 (0.766)	Data 0.001 (0.001)	Loss 2.4962 (2.7789)	Prec@1 39.844 (33.871)	Prec@5 70.312 (64.206)
Epoch: [12][11430/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.8943 (2.7788)	Prec@1 35.156 (33.872)	Prec@5 63.281 (64.207)
Epoch: [12][11440/14090]	Time 0.765 (0.766)	Data 0.001 (0.001)	Loss 2.6652 (2.7789)	Prec@1 32.031 (33.871)	Prec@5 62.500 (64.207)
Epoch: [12][11450/14090]	Time 0.852 (0.766)	Data 0.001 (0.001)	Loss 2.4911 (2.7788)	Prec@1 33.594 (33.869)	Prec@5 70.312 (64.209)
Epoch: [12][11460/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.7410 (2.7788)	Prec@1 39.844 (33.870)	Prec@5 66.406 (64.210)
Epoch: [12][11470/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.7901 (2.7788)	Prec@1 34.375 (33.870)	Prec@5 63.281 (64.209)
Epoch: [12][11480/14090]	Time 0.767 (0.766)	Data 0.001 (0.001)	Loss 2.8128 (2.7788)	Prec@1 29.688 (33.871)	Prec@5 64.844 (64.210)
Epoch: [12][11490/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.6893 (2.7788)	Prec@1 35.156 (33.871)	Prec@5 64.844 (64.210)
Epoch: [12][11500/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 2.7550 (2.7788)	Prec@1 32.031 (33.870)	Prec@5 66.406 (64.209)
Epoch: [12][11510/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.7636 (2.7787)	Prec@1 34.375 (33.872)	Prec@5 67.188 (64.210)
Epoch: [12][11520/14090]	Time 0.841 (0.766)	Data 0.001 (0.001)	Loss 3.0916 (2.7788)	Prec@1 27.344 (33.870)	Prec@5 55.469 (64.208)
Epoch: [12][11530/14090]	Time 0.768 (0.766)	Data 0.001 (0.001)	Loss 2.9879 (2.7789)	Prec@1 24.219 (33.870)	Prec@5 61.719 (64.207)
Epoch: [12][11540/14090]	Time 0.784 (0.766)	Data 0.001 (0.001)	Loss 2.7076 (2.7788)	Prec@1 38.281 (33.872)	Prec@5 67.969 (64.208)
Epoch: [12][11550/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 3.1956 (2.7788)	Prec@1 26.562 (33.871)	Prec@5 53.125 (64.208)
Epoch: [12][11560/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 2.8289 (2.7788)	Prec@1 28.906 (33.872)	Prec@5 64.062 (64.209)
Epoch: [12][11570/14090]	Time 0.775 (0.767)	Data 0.001 (0.001)	Loss 3.0802 (2.7788)	Prec@1 29.688 (33.871)	Prec@5 60.938 (64.208)
Epoch: [12][11580/14090]	Time 0.726 (0.767)	Data 0.001 (0.001)	Loss 2.8180 (2.7788)	Prec@1 36.719 (33.871)	Prec@5 60.156 (64.209)
Epoch: [12][11590/14090]	Time 0.896 (0.767)	Data 0.001 (0.001)	Loss 2.4855 (2.7787)	Prec@1 44.531 (33.874)	Prec@5 70.312 (64.212)
Epoch: [12][11600/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 3.0030 (2.7787)	Prec@1 35.156 (33.874)	Prec@5 59.375 (64.210)
Epoch: [12][11610/14090]	Time 0.774 (0.767)	Data 0.001 (0.001)	Loss 3.0543 (2.7787)	Prec@1 29.688 (33.876)	Prec@5 58.594 (64.211)
Epoch: [12][11620/14090]	Time 0.778 (0.767)	Data 0.001 (0.001)	Loss 2.8462 (2.7787)	Prec@1 34.375 (33.875)	Prec@5 57.031 (64.209)
Epoch: [12][11630/14090]	Time 0.782 (0.767)	Data 0.001 (0.001)	Loss 2.6697 (2.7787)	Prec@1 28.906 (33.875)	Prec@5 67.969 (64.210)
Epoch: [12][11640/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.8650 (2.7787)	Prec@1 34.375 (33.875)	Prec@5 64.062 (64.210)
Epoch: [12][11650/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 2.9159 (2.7787)	Prec@1 32.812 (33.874)	Prec@5 63.281 (64.210)
Epoch: [12][11660/14090]	Time 0.850 (0.767)	Data 0.001 (0.001)	Loss 2.8766 (2.7787)	Prec@1 28.125 (33.873)	Prec@5 61.719 (64.209)
Epoch: [12][11670/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 3.2451 (2.7787)	Prec@1 27.344 (33.873)	Prec@5 53.125 (64.208)
Epoch: [12][11680/14090]	Time 0.770 (0.767)	Data 0.001 (0.001)	Loss 3.2912 (2.7788)	Prec@1 27.344 (33.872)	Prec@5 54.688 (64.206)
Epoch: [12][11690/14090]	Time 0.778 (0.767)	Data 0.001 (0.001)	Loss 2.5571 (2.7787)	Prec@1 32.031 (33.875)	Prec@5 73.438 (64.209)
Epoch: [12][11700/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.9453 (2.7787)	Prec@1 31.250 (33.877)	Prec@5 60.156 (64.209)
Epoch: [12][11710/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.8853 (2.7787)	Prec@1 29.688 (33.876)	Prec@5 61.719 (64.208)
Epoch: [12][11720/14090]	Time 0.727 (0.767)	Data 0.001 (0.001)	Loss 2.6814 (2.7787)	Prec@1 37.500 (33.878)	Prec@5 67.188 (64.210)
Epoch: [12][11730/14090]	Time 0.846 (0.767)	Data 0.001 (0.001)	Loss 2.8223 (2.7787)	Prec@1 32.031 (33.879)	Prec@5 62.500 (64.211)
Epoch: [12][11740/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 2.9156 (2.7787)	Prec@1 28.906 (33.879)	Prec@5 61.719 (64.211)
Epoch: [12][11750/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 2.5672 (2.7787)	Prec@1 35.938 (33.878)	Prec@5 67.188 (64.209)
Epoch: [12][11760/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 2.9360 (2.7787)	Prec@1 32.812 (33.880)	Prec@5 60.156 (64.210)
Epoch: [12][11770/14090]	Time 0.782 (0.767)	Data 0.001 (0.001)	Loss 2.8524 (2.7787)	Prec@1 32.812 (33.879)	Prec@5 66.406 (64.211)
Epoch: [12][11780/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 2.8876 (2.7786)	Prec@1 36.719 (33.881)	Prec@5 60.156 (64.212)
Epoch: [12][11790/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 2.7078 (2.7785)	Prec@1 35.156 (33.883)	Prec@5 63.281 (64.213)
Epoch: [12][11800/14090]	Time 0.873 (0.767)	Data 0.001 (0.001)	Loss 2.7630 (2.7785)	Prec@1 30.469 (33.883)	Prec@5 66.406 (64.213)
Epoch: [12][11810/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 2.8721 (2.7785)	Prec@1 30.469 (33.880)	Prec@5 60.156 (64.211)
Epoch: [12][11820/14090]	Time 0.770 (0.767)	Data 0.001 (0.001)	Loss 3.0423 (2.7786)	Prec@1 35.156 (33.879)	Prec@5 64.062 (64.210)
Epoch: [12][11830/14090]	Time 0.777 (0.767)	Data 0.001 (0.001)	Loss 2.8820 (2.7787)	Prec@1 33.594 (33.878)	Prec@5 67.188 (64.208)
Epoch: [12][11840/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 3.1742 (2.7788)	Prec@1 31.250 (33.876)	Prec@5 57.031 (64.207)
Epoch: [12][11850/14090]	Time 0.773 (0.767)	Data 0.001 (0.001)	Loss 2.7147 (2.7787)	Prec@1 35.156 (33.876)	Prec@5 66.406 (64.209)
Epoch: [12][11860/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 2.7839 (2.7787)	Prec@1 34.375 (33.874)	Prec@5 61.719 (64.207)
Epoch: [12][11870/14090]	Time 0.853 (0.767)	Data 0.001 (0.001)	Loss 2.7428 (2.7788)	Prec@1 30.469 (33.873)	Prec@5 67.188 (64.208)
Epoch: [12][11880/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 2.7452 (2.7787)	Prec@1 33.594 (33.874)	Prec@5 64.844 (64.209)
Epoch: [12][11890/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 2.7813 (2.7787)	Prec@1 28.125 (33.873)	Prec@5 65.625 (64.208)
Epoch: [12][11900/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 2.6327 (2.7786)	Prec@1 37.500 (33.875)	Prec@5 63.281 (64.209)
Epoch: [12][11910/14090]	Time 0.772 (0.767)	Data 0.001 (0.001)	Loss 2.8408 (2.7786)	Prec@1 38.281 (33.876)	Prec@5 67.188 (64.211)
Epoch: [12][11920/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.8705 (2.7786)	Prec@1 33.594 (33.878)	Prec@5 61.719 (64.212)
Epoch: [12][11930/14090]	Time 0.784 (0.767)	Data 0.001 (0.001)	Loss 2.8617 (2.7786)	Prec@1 31.250 (33.878)	Prec@5 64.062 (64.212)
Epoch: [12][11940/14090]	Time 0.850 (0.767)	Data 0.001 (0.001)	Loss 2.5844 (2.7786)	Prec@1 44.531 (33.877)	Prec@5 65.625 (64.213)
Epoch: [12][11950/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 3.0737 (2.7786)	Prec@1 28.125 (33.875)	Prec@5 58.594 (64.211)
Epoch: [12][11960/14090]	Time 0.736 (0.767)	Data 0.002 (0.001)	Loss 2.7825 (2.7787)	Prec@1 36.719 (33.874)	Prec@5 63.281 (64.210)
Epoch: [12][11970/14090]	Time 0.781 (0.767)	Data 0.001 (0.001)	Loss 2.6205 (2.7787)	Prec@1 42.188 (33.874)	Prec@5 63.281 (64.210)
Epoch: [12][11980/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 2.7389 (2.7787)	Prec@1 35.156 (33.875)	Prec@5 61.719 (64.210)
Epoch: [12][11990/14090]	Time 0.777 (0.767)	Data 0.001 (0.001)	Loss 2.8826 (2.7787)	Prec@1 35.156 (33.874)	Prec@5 64.844 (64.210)
Epoch: [12][12000/14090]	Time 0.763 (0.767)	Data 0.001 (0.001)	Loss 2.7323 (2.7787)	Prec@1 35.938 (33.874)	Prec@5 65.625 (64.209)
Epoch: [12][12010/14090]	Time 0.883 (0.767)	Data 0.001 (0.001)	Loss 2.8162 (2.7788)	Prec@1 30.469 (33.873)	Prec@5 63.281 (64.209)
Epoch: [12][12020/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 2.7696 (2.7789)	Prec@1 33.594 (33.872)	Prec@5 62.500 (64.207)
Epoch: [12][12030/14090]	Time 0.777 (0.767)	Data 0.001 (0.001)	Loss 2.7516 (2.7789)	Prec@1 33.594 (33.871)	Prec@5 67.188 (64.206)
Epoch: [12][12040/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 2.6571 (2.7788)	Prec@1 36.719 (33.872)	Prec@5 65.625 (64.207)
Epoch: [12][12050/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 2.8541 (2.7788)	Prec@1 31.250 (33.872)	Prec@5 61.719 (64.206)
Epoch: [12][12060/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.7371 (2.7788)	Prec@1 31.250 (33.871)	Prec@5 66.406 (64.207)
Epoch: [12][12070/14090]	Time 0.774 (0.767)	Data 0.001 (0.001)	Loss 2.8438 (2.7789)	Prec@1 35.938 (33.871)	Prec@5 65.625 (64.206)
Epoch: [12][12080/14090]	Time 0.872 (0.767)	Data 0.001 (0.001)	Loss 2.6437 (2.7790)	Prec@1 31.250 (33.869)	Prec@5 70.312 (64.202)
Epoch: [12][12090/14090]	Time 0.778 (0.767)	Data 0.001 (0.001)	Loss 2.9082 (2.7790)	Prec@1 25.000 (33.867)	Prec@5 63.281 (64.201)
Epoch: [12][12100/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.7564 (2.7790)	Prec@1 34.375 (33.867)	Prec@5 64.062 (64.202)
Epoch: [12][12110/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 2.9177 (2.7791)	Prec@1 34.375 (33.868)	Prec@5 60.156 (64.201)
Epoch: [12][12120/14090]	Time 0.763 (0.767)	Data 0.001 (0.001)	Loss 2.6437 (2.7791)	Prec@1 33.594 (33.867)	Prec@5 60.938 (64.200)
Epoch: [12][12130/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 3.2217 (2.7791)	Prec@1 33.594 (33.867)	Prec@5 59.375 (64.199)
Epoch: [12][12140/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 3.0017 (2.7792)	Prec@1 32.812 (33.866)	Prec@5 59.375 (64.198)
Epoch: [12][12150/14090]	Time 0.873 (0.767)	Data 0.001 (0.001)	Loss 2.6161 (2.7792)	Prec@1 30.469 (33.866)	Prec@5 68.750 (64.197)
Epoch: [12][12160/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.6275 (2.7792)	Prec@1 37.500 (33.865)	Prec@5 68.750 (64.195)
Epoch: [12][12170/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 2.7671 (2.7791)	Prec@1 31.250 (33.865)	Prec@5 65.625 (64.196)
Epoch: [12][12180/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 2.9878 (2.7792)	Prec@1 32.031 (33.866)	Prec@5 64.062 (64.196)
Epoch: [12][12190/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 2.4165 (2.7791)	Prec@1 41.406 (33.866)	Prec@5 71.094 (64.195)
Epoch: [12][12200/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 2.5508 (2.7791)	Prec@1 44.531 (33.867)	Prec@5 69.531 (64.196)
Epoch: [12][12210/14090]	Time 0.765 (0.767)	Data 0.001 (0.001)	Loss 2.5945 (2.7790)	Prec@1 38.281 (33.868)	Prec@5 70.312 (64.196)
Epoch: [12][12220/14090]	Time 0.833 (0.767)	Data 0.001 (0.001)	Loss 2.9356 (2.7790)	Prec@1 32.031 (33.869)	Prec@5 57.812 (64.198)
Epoch: [12][12230/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 2.4871 (2.7789)	Prec@1 37.500 (33.870)	Prec@5 66.406 (64.200)
Epoch: [12][12240/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 2.7004 (2.7789)	Prec@1 31.250 (33.869)	Prec@5 60.156 (64.199)
Epoch: [12][12250/14090]	Time 0.776 (0.767)	Data 0.001 (0.001)	Loss 2.8766 (2.7789)	Prec@1 30.469 (33.869)	Prec@5 64.844 (64.200)
Epoch: [12][12260/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 2.7999 (2.7789)	Prec@1 35.156 (33.870)	Prec@5 62.500 (64.199)
Epoch: [12][12270/14090]	Time 0.771 (0.767)	Data 0.001 (0.001)	Loss 2.8279 (2.7788)	Prec@1 38.281 (33.872)	Prec@5 63.281 (64.201)
Epoch: [12][12280/14090]	Time 0.779 (0.767)	Data 0.001 (0.001)	Loss 2.7419 (2.7789)	Prec@1 35.938 (33.871)	Prec@5 66.406 (64.201)
Epoch: [12][12290/14090]	Time 0.882 (0.767)	Data 0.001 (0.001)	Loss 2.6335 (2.7788)	Prec@1 40.625 (33.875)	Prec@5 69.531 (64.203)
Epoch: [12][12300/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 2.7910 (2.7788)	Prec@1 36.719 (33.874)	Prec@5 62.500 (64.203)
Epoch: [12][12310/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.9069 (2.7788)	Prec@1 31.250 (33.876)	Prec@5 63.281 (64.203)
Epoch: [12][12320/14090]	Time 0.780 (0.767)	Data 0.001 (0.001)	Loss 2.5425 (2.7788)	Prec@1 38.281 (33.876)	Prec@5 69.531 (64.203)
Epoch: [12][12330/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.7939 (2.7787)	Prec@1 32.031 (33.876)	Prec@5 67.188 (64.205)
Epoch: [12][12340/14090]	Time 0.763 (0.767)	Data 0.001 (0.001)	Loss 2.5656 (2.7787)	Prec@1 37.500 (33.876)	Prec@5 73.438 (64.206)
Epoch: [12][12350/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 2.6708 (2.7788)	Prec@1 36.719 (33.876)	Prec@5 63.281 (64.205)
Epoch: [12][12360/14090]	Time 0.882 (0.767)	Data 0.001 (0.001)	Loss 2.7532 (2.7787)	Prec@1 28.906 (33.877)	Prec@5 64.844 (64.205)
Epoch: [12][12370/14090]	Time 0.737 (0.767)	Data 0.002 (0.001)	Loss 2.6869 (2.7787)	Prec@1 31.250 (33.875)	Prec@5 68.750 (64.207)
Epoch: [12][12380/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.6115 (2.7787)	Prec@1 38.281 (33.876)	Prec@5 70.312 (64.206)
Epoch: [12][12390/14090]	Time 0.781 (0.767)	Data 0.001 (0.001)	Loss 2.8540 (2.7788)	Prec@1 32.031 (33.875)	Prec@5 64.062 (64.204)
Epoch: [12][12400/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 2.5922 (2.7788)	Prec@1 33.594 (33.877)	Prec@5 65.625 (64.204)
Epoch: [12][12410/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 2.8333 (2.7788)	Prec@1 32.031 (33.876)	Prec@5 64.062 (64.204)
Epoch: [12][12420/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 3.0642 (2.7787)	Prec@1 20.312 (33.875)	Prec@5 60.156 (64.204)
Epoch: [12][12430/14090]	Time 0.872 (0.767)	Data 0.001 (0.001)	Loss 2.3310 (2.7788)	Prec@1 43.750 (33.874)	Prec@5 72.656 (64.203)
Epoch: [12][12440/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 3.1648 (2.7788)	Prec@1 25.781 (33.872)	Prec@5 56.250 (64.203)
Epoch: [12][12450/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 2.4707 (2.7789)	Prec@1 42.188 (33.871)	Prec@5 70.312 (64.203)
Epoch: [12][12460/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 2.8390 (2.7789)	Prec@1 33.594 (33.870)	Prec@5 63.281 (64.202)
Epoch: [12][12470/14090]	Time 0.781 (0.767)	Data 0.001 (0.001)	Loss 2.6366 (2.7790)	Prec@1 35.938 (33.870)	Prec@5 67.969 (64.200)
Epoch: [12][12480/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 2.8846 (2.7790)	Prec@1 28.906 (33.869)	Prec@5 61.719 (64.200)
Epoch: [12][12490/14090]	Time 0.727 (0.767)	Data 0.001 (0.001)	Loss 2.5188 (2.7790)	Prec@1 42.969 (33.870)	Prec@5 67.188 (64.200)
Epoch: [12][12500/14090]	Time 0.850 (0.767)	Data 0.001 (0.001)	Loss 2.7539 (2.7789)	Prec@1 29.688 (33.870)	Prec@5 66.406 (64.200)
Epoch: [12][12510/14090]	Time 0.779 (0.767)	Data 0.001 (0.001)	Loss 2.6183 (2.7790)	Prec@1 35.156 (33.870)	Prec@5 66.406 (64.201)
Epoch: [12][12520/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 2.8201 (2.7789)	Prec@1 32.031 (33.871)	Prec@5 61.719 (64.200)
Epoch: [12][12530/14090]	Time 0.787 (0.767)	Data 0.001 (0.001)	Loss 3.1204 (2.7789)	Prec@1 25.000 (33.872)	Prec@5 56.250 (64.200)
Epoch: [12][12540/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 2.8494 (2.7789)	Prec@1 33.594 (33.872)	Prec@5 63.281 (64.200)
Epoch: [12][12550/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.6581 (2.7789)	Prec@1 38.281 (33.874)	Prec@5 64.844 (64.200)
Epoch: [12][12560/14090]	Time 0.789 (0.767)	Data 0.001 (0.001)	Loss 2.6689 (2.7789)	Prec@1 39.062 (33.876)	Prec@5 70.312 (64.201)
Epoch: [12][12570/14090]	Time 0.918 (0.767)	Data 0.001 (0.001)	Loss 2.6288 (2.7789)	Prec@1 37.500 (33.876)	Prec@5 67.969 (64.201)
Epoch: [12][12580/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 2.8933 (2.7789)	Prec@1 28.906 (33.875)	Prec@5 62.500 (64.200)
Epoch: [12][12590/14090]	Time 0.764 (0.767)	Data 0.001 (0.001)	Loss 2.6432 (2.7789)	Prec@1 35.156 (33.876)	Prec@5 65.625 (64.201)
Epoch: [12][12600/14090]	Time 0.727 (0.767)	Data 0.001 (0.001)	Loss 2.8626 (2.7790)	Prec@1 30.469 (33.872)	Prec@5 58.594 (64.199)
Epoch: [12][12610/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.7094 (2.7789)	Prec@1 32.812 (33.874)	Prec@5 69.531 (64.200)
Epoch: [12][12620/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 2.6645 (2.7790)	Prec@1 32.031 (33.873)	Prec@5 68.750 (64.199)
Epoch: [12][12630/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 2.5501 (2.7790)	Prec@1 38.281 (33.872)	Prec@5 68.750 (64.199)
Epoch: [12][12640/14090]	Time 0.897 (0.767)	Data 0.001 (0.001)	Loss 2.9068 (2.7790)	Prec@1 28.125 (33.871)	Prec@5 65.625 (64.199)
Epoch: [12][12650/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 2.7360 (2.7789)	Prec@1 32.031 (33.873)	Prec@5 62.500 (64.201)
Epoch: [12][12660/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 2.5989 (2.7788)	Prec@1 30.469 (33.874)	Prec@5 63.281 (64.201)
Epoch: [12][12670/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 2.7947 (2.7789)	Prec@1 28.125 (33.873)	Prec@5 64.844 (64.199)
Epoch: [12][12680/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 2.8488 (2.7789)	Prec@1 32.031 (33.871)	Prec@5 64.844 (64.198)
Epoch: [12][12690/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 2.7673 (2.7790)	Prec@1 31.250 (33.871)	Prec@5 64.062 (64.197)
Epoch: [12][12700/14090]	Time 0.766 (0.767)	Data 0.001 (0.001)	Loss 2.8009 (2.7790)	Prec@1 33.594 (33.871)	Prec@5 62.500 (64.198)
Epoch: [12][12710/14090]	Time 0.892 (0.767)	Data 0.001 (0.001)	Loss 2.7723 (2.7789)	Prec@1 34.375 (33.872)	Prec@5 57.031 (64.197)
Epoch: [12][12720/14090]	Time 0.776 (0.767)	Data 0.001 (0.001)	Loss 2.9898 (2.7789)	Prec@1 32.031 (33.874)	Prec@5 60.156 (64.198)
Epoch: [12][12730/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.7963 (2.7788)	Prec@1 36.719 (33.875)	Prec@5 61.719 (64.198)
Epoch: [12][12740/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 2.6692 (2.7788)	Prec@1 38.281 (33.876)	Prec@5 68.750 (64.199)
Epoch: [12][12750/14090]	Time 0.769 (0.767)	Data 0.001 (0.001)	Loss 2.7831 (2.7788)	Prec@1 33.594 (33.877)	Prec@5 67.188 (64.199)
Epoch: [12][12760/14090]	Time 0.722 (0.767)	Data 0.001 (0.001)	Loss 2.6402 (2.7788)	Prec@1 33.594 (33.875)	Prec@5 68.750 (64.198)
Epoch: [12][12770/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 2.8402 (2.7788)	Prec@1 35.156 (33.876)	Prec@5 69.531 (64.199)
Epoch: [12][12780/14090]	Time 0.932 (0.767)	Data 0.001 (0.001)	Loss 2.7602 (2.7789)	Prec@1 34.375 (33.875)	Prec@5 64.844 (64.199)
Epoch: [12][12790/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.6237 (2.7788)	Prec@1 32.031 (33.874)	Prec@5 67.969 (64.200)
Epoch: [12][12800/14090]	Time 0.775 (0.767)	Data 0.001 (0.001)	Loss 2.6744 (2.7788)	Prec@1 37.500 (33.874)	Prec@5 63.281 (64.201)
Epoch: [12][12810/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 2.8612 (2.7789)	Prec@1 32.031 (33.873)	Prec@5 61.719 (64.199)
Epoch: [12][12820/14090]	Time 0.778 (0.767)	Data 0.001 (0.001)	Loss 3.0392 (2.7789)	Prec@1 31.250 (33.872)	Prec@5 59.375 (64.197)
Epoch: [12][12830/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.7195 (2.7790)	Prec@1 35.156 (33.871)	Prec@5 59.375 (64.195)
Epoch: [12][12840/14090]	Time 0.764 (0.767)	Data 0.001 (0.001)	Loss 2.9543 (2.7790)	Prec@1 30.469 (33.871)	Prec@5 59.375 (64.195)
Epoch: [12][12850/14090]	Time 0.867 (0.767)	Data 0.001 (0.001)	Loss 2.8576 (2.7790)	Prec@1 33.594 (33.871)	Prec@5 61.719 (64.195)
Epoch: [12][12860/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 2.8171 (2.7791)	Prec@1 32.031 (33.870)	Prec@5 64.844 (64.193)
Epoch: [12][12870/14090]	Time 0.774 (0.767)	Data 0.001 (0.001)	Loss 2.7903 (2.7791)	Prec@1 29.688 (33.870)	Prec@5 60.156 (64.192)
Epoch: [12][12880/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 2.8732 (2.7791)	Prec@1 33.594 (33.869)	Prec@5 60.938 (64.190)
Epoch: [12][12890/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 2.9536 (2.7791)	Prec@1 25.000 (33.868)	Prec@5 57.812 (64.190)
Epoch: [12][12900/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.8656 (2.7791)	Prec@1 31.250 (33.869)	Prec@5 60.156 (64.191)
Epoch: [12][12910/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 3.0777 (2.7791)	Prec@1 29.688 (33.870)	Prec@5 64.844 (64.192)
Epoch: [12][12920/14090]	Time 0.846 (0.767)	Data 0.001 (0.001)	Loss 2.5970 (2.7790)	Prec@1 37.500 (33.872)	Prec@5 67.188 (64.194)
Epoch: [12][12930/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.8179 (2.7789)	Prec@1 32.812 (33.872)	Prec@5 64.844 (64.194)
Epoch: [12][12940/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 2.8744 (2.7789)	Prec@1 33.594 (33.873)	Prec@5 60.938 (64.195)
Epoch: [12][12950/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 2.7085 (2.7789)	Prec@1 34.375 (33.874)	Prec@5 68.750 (64.197)
Epoch: [12][12960/14090]	Time 0.757 (0.767)	Data 0.002 (0.001)	Loss 2.9069 (2.7789)	Prec@1 28.125 (33.874)	Prec@5 58.594 (64.198)
Epoch: [12][12970/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 2.7219 (2.7789)	Prec@1 33.594 (33.874)	Prec@5 65.625 (64.198)
Epoch: [12][12980/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 2.7480 (2.7790)	Prec@1 32.812 (33.872)	Prec@5 65.625 (64.196)
Epoch: [12][12990/14090]	Time 0.891 (0.767)	Data 0.001 (0.001)	Loss 2.5449 (2.7790)	Prec@1 37.500 (33.872)	Prec@5 65.625 (64.197)
Epoch: [12][13000/14090]	Time 0.764 (0.767)	Data 0.001 (0.001)	Loss 2.7035 (2.7790)	Prec@1 38.281 (33.873)	Prec@5 64.062 (64.198)
Epoch: [12][13010/14090]	Time 0.782 (0.767)	Data 0.001 (0.001)	Loss 2.7144 (2.7789)	Prec@1 28.125 (33.873)	Prec@5 64.062 (64.198)
Epoch: [12][13020/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.8912 (2.7789)	Prec@1 26.562 (33.872)	Prec@5 60.938 (64.198)
Epoch: [12][13030/14090]	Time 0.765 (0.767)	Data 0.001 (0.001)	Loss 2.5729 (2.7788)	Prec@1 39.844 (33.875)	Prec@5 69.531 (64.201)
Epoch: [12][13040/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 2.4612 (2.7788)	Prec@1 37.500 (33.875)	Prec@5 70.312 (64.201)
Epoch: [12][13050/14090]	Time 0.763 (0.767)	Data 0.001 (0.001)	Loss 2.3558 (2.7787)	Prec@1 43.750 (33.877)	Prec@5 67.969 (64.202)
Epoch: [12][13060/14090]	Time 0.839 (0.767)	Data 0.001 (0.001)	Loss 2.9054 (2.7787)	Prec@1 32.031 (33.877)	Prec@5 60.156 (64.202)
Epoch: [12][13070/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.7939 (2.7788)	Prec@1 36.719 (33.876)	Prec@5 64.844 (64.201)
Epoch: [12][13080/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 2.4378 (2.7788)	Prec@1 36.719 (33.874)	Prec@5 76.562 (64.198)
Epoch: [12][13090/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 2.5823 (2.7788)	Prec@1 39.844 (33.876)	Prec@5 69.531 (64.199)
Epoch: [12][13100/14090]	Time 0.772 (0.767)	Data 0.001 (0.001)	Loss 2.6522 (2.7787)	Prec@1 34.375 (33.877)	Prec@5 67.969 (64.200)
Epoch: [12][13110/14090]	Time 0.770 (0.767)	Data 0.001 (0.001)	Loss 2.7904 (2.7787)	Prec@1 31.250 (33.876)	Prec@5 64.844 (64.201)
Epoch: [12][13120/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 2.9257 (2.7787)	Prec@1 25.781 (33.876)	Prec@5 62.500 (64.201)
Epoch: [12][13130/14090]	Time 0.889 (0.767)	Data 0.001 (0.001)	Loss 2.6866 (2.7787)	Prec@1 35.938 (33.877)	Prec@5 59.375 (64.201)
Epoch: [12][13140/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.8992 (2.7787)	Prec@1 34.375 (33.875)	Prec@5 64.844 (64.200)
Epoch: [12][13150/14090]	Time 0.773 (0.767)	Data 0.001 (0.001)	Loss 2.5479 (2.7788)	Prec@1 35.938 (33.874)	Prec@5 70.312 (64.200)
Epoch: [12][13160/14090]	Time 0.786 (0.767)	Data 0.001 (0.001)	Loss 2.7762 (2.7787)	Prec@1 28.125 (33.874)	Prec@5 64.844 (64.201)
Epoch: [12][13170/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 2.8625 (2.7787)	Prec@1 32.812 (33.873)	Prec@5 63.281 (64.200)
Epoch: [12][13180/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 2.7317 (2.7787)	Prec@1 36.719 (33.874)	Prec@5 69.531 (64.201)
Epoch: [12][13190/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 2.6889 (2.7787)	Prec@1 37.500 (33.874)	Prec@5 68.750 (64.201)
Epoch: [12][13200/14090]	Time 0.842 (0.767)	Data 0.001 (0.001)	Loss 2.9047 (2.7787)	Prec@1 34.375 (33.875)	Prec@5 59.375 (64.199)
Epoch: [12][13210/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.7751 (2.7786)	Prec@1 35.156 (33.876)	Prec@5 66.406 (64.201)
Epoch: [12][13220/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 2.7929 (2.7787)	Prec@1 31.250 (33.874)	Prec@5 70.312 (64.199)
Epoch: [12][13230/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 2.4574 (2.7787)	Prec@1 37.500 (33.874)	Prec@5 71.875 (64.200)
Epoch: [12][13240/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 2.8138 (2.7787)	Prec@1 33.594 (33.874)	Prec@5 59.375 (64.199)
Epoch: [12][13250/14090]	Time 0.768 (0.767)	Data 0.001 (0.001)	Loss 2.9270 (2.7787)	Prec@1 33.594 (33.874)	Prec@5 58.594 (64.200)
Epoch: [12][13260/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 2.7241 (2.7787)	Prec@1 38.281 (33.874)	Prec@5 63.281 (64.199)
Epoch: [12][13270/14090]	Time 0.898 (0.767)	Data 0.001 (0.001)	Loss 2.5419 (2.7787)	Prec@1 32.812 (33.876)	Prec@5 75.781 (64.200)
Epoch: [12][13280/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 2.6941 (2.7787)	Prec@1 33.594 (33.875)	Prec@5 63.281 (64.201)
Epoch: [12][13290/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 2.8325 (2.7787)	Prec@1 31.250 (33.874)	Prec@5 63.281 (64.200)
Epoch: [12][13300/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 2.7119 (2.7787)	Prec@1 38.281 (33.875)	Prec@5 67.969 (64.201)
Epoch: [12][13310/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 3.0627 (2.7787)	Prec@1 29.688 (33.875)	Prec@5 56.250 (64.199)
Epoch: [12][13320/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 3.0585 (2.7787)	Prec@1 28.125 (33.875)	Prec@5 54.688 (64.199)
Epoch: [12][13330/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 2.6587 (2.7786)	Prec@1 43.750 (33.878)	Prec@5 62.500 (64.201)
Epoch: [12][13340/14090]	Time 0.865 (0.767)	Data 0.001 (0.001)	Loss 2.7203 (2.7785)	Prec@1 32.031 (33.878)	Prec@5 67.188 (64.203)
Epoch: [12][13350/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 2.7821 (2.7786)	Prec@1 32.031 (33.877)	Prec@5 63.281 (64.200)
Epoch: [12][13360/14090]	Time 0.766 (0.767)	Data 0.001 (0.001)	Loss 2.8432 (2.7786)	Prec@1 32.031 (33.878)	Prec@5 64.062 (64.201)
Epoch: [12][13370/14090]	Time 0.764 (0.767)	Data 0.001 (0.001)	Loss 2.5721 (2.7785)	Prec@1 39.062 (33.877)	Prec@5 67.969 (64.201)
Epoch: [12][13380/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 2.8646 (2.7784)	Prec@1 34.375 (33.878)	Prec@5 62.500 (64.202)
Epoch: [12][13390/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 2.8082 (2.7784)	Prec@1 35.938 (33.878)	Prec@5 60.938 (64.202)
Epoch: [12][13400/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 2.8164 (2.7784)	Prec@1 33.594 (33.877)	Prec@5 62.500 (64.202)
Epoch: [12][13410/14090]	Time 0.846 (0.767)	Data 0.001 (0.001)	Loss 2.8103 (2.7784)	Prec@1 32.812 (33.878)	Prec@5 67.188 (64.204)
Epoch: [12][13420/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 2.7644 (2.7784)	Prec@1 31.250 (33.878)	Prec@5 63.281 (64.203)
Epoch: [12][13430/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 2.7318 (2.7784)	Prec@1 36.719 (33.878)	Prec@5 62.500 (64.203)
Epoch: [12][13440/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 2.8638 (2.7784)	Prec@1 30.469 (33.878)	Prec@5 60.938 (64.202)
Epoch: [12][13450/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 2.7263 (2.7785)	Prec@1 30.469 (33.878)	Prec@5 64.844 (64.202)
Epoch: [12][13460/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 2.8261 (2.7785)	Prec@1 31.250 (33.876)	Prec@5 65.625 (64.200)
Epoch: [12][13470/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 2.5785 (2.7786)	Prec@1 32.031 (33.875)	Prec@5 67.969 (64.200)
Epoch: [12][13480/14090]	Time 0.874 (0.767)	Data 0.001 (0.001)	Loss 2.6246 (2.7786)	Prec@1 31.250 (33.875)	Prec@5 67.188 (64.200)
Epoch: [12][13490/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 2.7580 (2.7785)	Prec@1 35.156 (33.876)	Prec@5 63.281 (64.201)
Epoch: [12][13500/14090]	Time 0.779 (0.767)	Data 0.001 (0.001)	Loss 2.7104 (2.7785)	Prec@1 31.250 (33.875)	Prec@5 64.844 (64.201)
Epoch: [12][13510/14090]	Time 0.763 (0.767)	Data 0.001 (0.001)	Loss 2.6142 (2.7785)	Prec@1 32.812 (33.874)	Prec@5 63.281 (64.201)
Epoch: [12][13520/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 2.6826 (2.7785)	Prec@1 35.156 (33.875)	Prec@5 67.188 (64.201)
Epoch: [12][13530/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 2.3956 (2.7785)	Prec@1 39.062 (33.875)	Prec@5 72.656 (64.202)
Epoch: [12][13540/14090]	Time 0.725 (0.767)	Data 0.001 (0.001)	Loss 2.8450 (2.7785)	Prec@1 33.594 (33.873)	Prec@5 64.062 (64.201)
Epoch: [12][13550/14090]	Time 0.830 (0.767)	Data 0.001 (0.001)	Loss 2.8577 (2.7786)	Prec@1 32.031 (33.873)	Prec@5 57.031 (64.200)
Epoch: [12][13560/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 2.6688 (2.7786)	Prec@1 35.938 (33.874)	Prec@5 64.062 (64.199)
Epoch: [12][13570/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 2.5076 (2.7786)	Prec@1 39.844 (33.873)	Prec@5 68.750 (64.198)
Epoch: [12][13580/14090]	Time 0.767 (0.767)	Data 0.001 (0.001)	Loss 2.6106 (2.7786)	Prec@1 39.844 (33.873)	Prec@5 67.969 (64.197)
Epoch: [12][13590/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 2.9554 (2.7786)	Prec@1 33.594 (33.872)	Prec@5 62.500 (64.197)
Epoch: [12][13600/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 2.8814 (2.7787)	Prec@1 32.031 (33.872)	Prec@5 58.594 (64.195)
Epoch: [12][13610/14090]	Time 0.778 (0.767)	Data 0.001 (0.001)	Loss 2.8408 (2.7787)	Prec@1 30.469 (33.873)	Prec@5 63.281 (64.196)
Epoch: [12][13620/14090]	Time 0.806 (0.767)	Data 0.001 (0.001)	Loss 2.6771 (2.7786)	Prec@1 33.594 (33.874)	Prec@5 67.188 (64.196)
Epoch: [12][13630/14090]	Time 0.783 (0.767)	Data 0.001 (0.001)	Loss 2.9270 (2.7787)	Prec@1 35.938 (33.873)	Prec@5 63.281 (64.196)
Epoch: [12][13640/14090]	Time 0.785 (0.767)	Data 0.001 (0.001)	Loss 2.3195 (2.7787)	Prec@1 45.312 (33.872)	Prec@5 72.656 (64.195)
Epoch: [12][13650/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 2.9206 (2.7787)	Prec@1 29.688 (33.873)	Prec@5 60.156 (64.195)
Epoch: [12][13660/14090]	Time 0.767 (0.767)	Data 0.001 (0.001)	Loss 2.8471 (2.7787)	Prec@1 26.562 (33.874)	Prec@5 59.375 (64.193)
Epoch: [12][13670/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.7092 (2.7787)	Prec@1 31.250 (33.874)	Prec@5 64.844 (64.193)
Epoch: [12][13680/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 2.7853 (2.7787)	Prec@1 31.250 (33.874)	Prec@5 64.844 (64.195)
Epoch: [12][13690/14090]	Time 0.880 (0.767)	Data 0.001 (0.001)	Loss 2.8224 (2.7786)	Prec@1 37.500 (33.875)	Prec@5 61.719 (64.196)
Epoch: [12][13700/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 2.8857 (2.7786)	Prec@1 28.125 (33.875)	Prec@5 58.594 (64.196)
Epoch: [12][13710/14090]	Time 0.777 (0.767)	Data 0.002 (0.001)	Loss 2.6674 (2.7786)	Prec@1 36.719 (33.876)	Prec@5 69.531 (64.197)
Epoch: [12][13720/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 2.6811 (2.7786)	Prec@1 33.594 (33.876)	Prec@5 69.531 (64.198)
Epoch: [12][13730/14090]	Time 0.766 (0.767)	Data 0.001 (0.001)	Loss 2.6386 (2.7786)	Prec@1 33.594 (33.876)	Prec@5 67.188 (64.197)
Epoch: [12][13740/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 2.7204 (2.7786)	Prec@1 40.625 (33.877)	Prec@5 67.188 (64.197)
Epoch: [12][13750/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 2.6363 (2.7786)	Prec@1 30.469 (33.876)	Prec@5 69.531 (64.196)
Epoch: [12][13760/14090]	Time 0.862 (0.767)	Data 0.001 (0.001)	Loss 2.8563 (2.7786)	Prec@1 32.031 (33.876)	Prec@5 62.500 (64.196)
Epoch: [12][13770/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 2.7468 (2.7786)	Prec@1 33.594 (33.878)	Prec@5 60.156 (64.197)
Epoch: [12][13780/14090]	Time 0.777 (0.767)	Data 0.001 (0.001)	Loss 2.4435 (2.7786)	Prec@1 44.531 (33.880)	Prec@5 72.656 (64.197)
Epoch: [12][13790/14090]	Time 0.781 (0.767)	Data 0.001 (0.001)	Loss 2.6813 (2.7786)	Prec@1 32.812 (33.879)	Prec@5 64.062 (64.198)
Epoch: [12][13800/14090]	Time 0.727 (0.767)	Data 0.001 (0.001)	Loss 2.6707 (2.7786)	Prec@1 32.031 (33.879)	Prec@5 64.062 (64.197)
Epoch: [12][13810/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 2.8759 (2.7786)	Prec@1 31.250 (33.880)	Prec@5 60.156 (64.197)
Epoch: [12][13820/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 2.6796 (2.7785)	Prec@1 37.500 (33.882)	Prec@5 66.406 (64.199)
Epoch: [12][13830/14090]	Time 0.881 (0.767)	Data 0.001 (0.001)	Loss 2.7397 (2.7785)	Prec@1 38.281 (33.882)	Prec@5 62.500 (64.198)
Epoch: [12][13840/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 2.5981 (2.7784)	Prec@1 35.938 (33.884)	Prec@5 71.875 (64.201)
Epoch: [12][13850/14090]	Time 0.765 (0.767)	Data 0.001 (0.001)	Loss 2.5855 (2.7784)	Prec@1 34.375 (33.884)	Prec@5 66.406 (64.203)
Epoch: [12][13860/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 2.8735 (2.7783)	Prec@1 38.281 (33.887)	Prec@5 65.625 (64.205)
Epoch: [12][13870/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 2.9795 (2.7783)	Prec@1 30.469 (33.887)	Prec@5 58.594 (64.206)
Epoch: [12][13880/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 2.6869 (2.7783)	Prec@1 35.156 (33.888)	Prec@5 67.188 (64.205)
Epoch: [12][13890/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 2.7245 (2.7782)	Prec@1 34.375 (33.889)	Prec@5 60.938 (64.206)
Epoch: [12][13900/14090]	Time 0.839 (0.767)	Data 0.001 (0.001)	Loss 2.4854 (2.7782)	Prec@1 35.938 (33.889)	Prec@5 70.312 (64.205)
Epoch: [12][13910/14090]	Time 0.770 (0.767)	Data 0.001 (0.001)	Loss 2.8177 (2.7782)	Prec@1 32.031 (33.889)	Prec@5 60.938 (64.205)
Epoch: [12][13920/14090]	Time 0.791 (0.767)	Data 0.001 (0.001)	Loss 2.5432 (2.7782)	Prec@1 36.719 (33.888)	Prec@5 66.406 (64.206)
Epoch: [12][13930/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 2.8016 (2.7782)	Prec@1 35.938 (33.889)	Prec@5 67.188 (64.207)
Epoch: [12][13940/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 2.8457 (2.7782)	Prec@1 30.469 (33.888)	Prec@5 67.188 (64.207)
Epoch: [12][13950/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 2.8276 (2.7782)	Prec@1 31.250 (33.888)	Prec@5 63.281 (64.207)
Epoch: [12][13960/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 2.9379 (2.7782)	Prec@1 32.812 (33.889)	Prec@5 60.938 (64.208)
Epoch: [12][13970/14090]	Time 0.858 (0.767)	Data 0.001 (0.001)	Loss 2.6142 (2.7782)	Prec@1 39.062 (33.889)	Prec@5 69.531 (64.208)
Epoch: [12][13980/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 2.5910 (2.7782)	Prec@1 31.250 (33.887)	Prec@5 69.531 (64.208)
Epoch: [12][13990/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 2.9156 (2.7782)	Prec@1 25.781 (33.887)	Prec@5 63.281 (64.208)
Epoch: [12][14000/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 2.8795 (2.7781)	Prec@1 30.469 (33.887)	Prec@5 59.375 (64.210)
Epoch: [12][14010/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.8720 (2.7781)	Prec@1 25.000 (33.887)	Prec@5 61.719 (64.209)
Epoch: [12][14020/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 2.7815 (2.7782)	Prec@1 32.812 (33.886)	Prec@5 60.938 (64.208)
Epoch: [12][14030/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 2.8625 (2.7782)	Prec@1 32.031 (33.886)	Prec@5 61.719 (64.208)
Epoch: [12][14040/14090]	Time 0.806 (0.767)	Data 0.002 (0.001)	Loss 2.8829 (2.7782)	Prec@1 30.469 (33.883)	Prec@5 61.719 (64.206)
Epoch: [12][14050/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 2.7639 (2.7783)	Prec@1 35.938 (33.882)	Prec@5 67.188 (64.205)
Epoch: [12][14060/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 3.1911 (2.7782)	Prec@1 26.562 (33.883)	Prec@5 55.469 (64.206)
Epoch: [12][14070/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 2.6685 (2.7782)	Prec@1 32.812 (33.884)	Prec@5 68.750 (64.207)
Epoch: [12][14080/14090]	Time 0.781 (0.767)	Data 0.000 (0.001)	Loss 2.8997 (2.7782)	Prec@1 28.906 (33.884)	Prec@5 60.156 (64.209)
Test: [0/286]	Time 2.948 (2.948)	Loss 1.5495 (1.5495)	Prec@1 56.250 (56.250)	Prec@5 85.156 (85.156)
Test: [10/286]	Time 0.224 (0.510)	Loss 2.1608 (2.5235)	Prec@1 35.938 (38.281)	Prec@5 82.812 (70.597)
Test: [20/286]	Time 0.229 (0.389)	Loss 1.8901 (2.3576)	Prec@1 55.469 (42.225)	Prec@5 80.469 (73.996)
Test: [30/286]	Time 0.236 (0.349)	Loss 2.4937 (2.2831)	Prec@1 38.281 (44.531)	Prec@5 73.438 (74.748)
Test: [40/286]	Time 0.365 (0.327)	Loss 3.1551 (2.3365)	Prec@1 15.625 (42.588)	Prec@5 58.594 (73.609)
Test: [50/286]	Time 0.237 (0.313)	Loss 0.9098 (2.3928)	Prec@1 80.469 (41.376)	Prec@5 89.844 (72.181)
Test: [60/286]	Time 0.233 (0.304)	Loss 3.1775 (2.4238)	Prec@1 29.688 (41.291)	Prec@5 58.594 (71.324)
Test: [70/286]	Time 0.233 (0.296)	Loss 1.6053 (2.4216)	Prec@1 58.594 (41.219)	Prec@5 85.156 (71.248)
Test: [80/286]	Time 0.343 (0.293)	Loss 2.6659 (2.4581)	Prec@1 28.906 (39.641)	Prec@5 71.875 (70.708)
Test: [90/286]	Time 0.357 (0.290)	Loss 2.5138 (2.4539)	Prec@1 36.719 (39.749)	Prec@5 60.938 (70.793)
Test: [100/286]	Time 0.282 (0.287)	Loss 3.0660 (2.4600)	Prec@1 20.312 (39.364)	Prec@5 56.250 (70.792)
Test: [110/286]	Time 0.235 (0.284)	Loss 3.0195 (2.4842)	Prec@1 27.344 (38.521)	Prec@5 59.375 (70.622)
Test: [120/286]	Time 0.240 (0.281)	Loss 3.3350 (2.4829)	Prec@1 26.562 (38.656)	Prec@5 50.781 (70.681)
Test: [130/286]	Time 0.241 (0.280)	Loss 1.8664 (2.4917)	Prec@1 53.125 (38.502)	Prec@5 82.031 (70.521)
Test: [140/286]	Time 0.327 (0.279)	Loss 3.2019 (2.4694)	Prec@1 29.688 (39.085)	Prec@5 56.250 (70.994)
Test: [150/286]	Time 0.224 (0.277)	Loss 3.2811 (2.4731)	Prec@1 17.188 (38.664)	Prec@5 58.594 (71.120)
Test: [160/286]	Time 0.349 (0.276)	Loss 3.4636 (2.4723)	Prec@1 12.500 (38.616)	Prec@5 44.531 (71.191)
Test: [170/286]	Time 0.282 (0.276)	Loss 3.5033 (2.4584)	Prec@1 10.938 (38.811)	Prec@5 55.469 (71.455)
Test: [180/286]	Time 0.266 (0.275)	Loss 2.5688 (2.4575)	Prec@1 45.312 (38.812)	Prec@5 67.969 (71.525)
Test: [190/286]	Time 0.320 (0.274)	Loss 2.9118 (2.4736)	Prec@1 18.750 (38.379)	Prec@5 77.344 (71.356)
Test: [200/286]	Time 0.244 (0.273)	Loss 2.1816 (2.4589)	Prec@1 46.875 (38.841)	Prec@5 83.594 (71.498)
Test: [210/286]	Time 0.236 (0.271)	Loss 2.4404 (2.4696)	Prec@1 42.969 (38.648)	Prec@5 77.344 (71.331)
Test: [220/286]	Time 0.229 (0.271)	Loss 2.9614 (2.4689)	Prec@1 25.781 (38.758)	Prec@5 64.062 (71.292)
Test: [230/286]	Time 0.271 (0.270)	Loss 1.3946 (2.4701)	Prec@1 64.844 (38.819)	Prec@5 86.719 (71.165)
Test: [240/286]	Time 0.368 (0.270)	Loss 1.9299 (2.4661)	Prec@1 51.562 (38.930)	Prec@5 84.375 (71.262)
Test: [250/286]	Time 0.236 (0.269)	Loss 2.6673 (2.4549)	Prec@1 40.625 (39.000)	Prec@5 64.062 (71.626)
Test: [260/286]	Time 0.242 (0.269)	Loss 3.1257 (2.4486)	Prec@1 25.781 (39.179)	Prec@5 59.375 (71.734)
Test: [270/286]	Time 0.262 (0.268)	Loss 2.6690 (2.4527)	Prec@1 39.062 (39.169)	Prec@5 66.406 (71.742)
Test: [280/286]	Time 0.250 (0.268)	Loss 2.1669 (2.4361)	Prec@1 44.531 (39.535)	Prec@5 82.031 (72.047)
 * Prec@1 39.615 Prec@5 71.983
Epoch: [13][0/14090]	Time 4.694 (4.694)	Data 3.908 (3.908)	Loss 2.8402 (2.8402)	Prec@1 32.812 (32.812)	Prec@5 60.156 (60.156)
Epoch: [13][10/14090]	Time 0.913 (1.117)	Data 0.001 (0.356)	Loss 2.6887 (2.8231)	Prec@1 33.594 (33.239)	Prec@5 64.844 (62.500)
Epoch: [13][20/14090]	Time 0.755 (0.941)	Data 0.001 (0.187)	Loss 3.0011 (2.7933)	Prec@1 32.812 (34.487)	Prec@5 59.375 (63.876)
Epoch: [13][30/14090]	Time 0.744 (0.885)	Data 0.001 (0.127)	Loss 2.8061 (2.7952)	Prec@1 29.688 (33.921)	Prec@5 62.500 (64.214)
Epoch: [13][40/14090]	Time 0.729 (0.858)	Data 0.000 (0.096)	Loss 2.8052 (2.7770)	Prec@1 39.844 (34.261)	Prec@5 60.938 (64.425)
Epoch: [13][50/14090]	Time 0.738 (0.838)	Data 0.001 (0.077)	Loss 2.8721 (2.7887)	Prec@1 35.156 (33.961)	Prec@5 58.594 (63.955)
Epoch: [13][60/14090]	Time 0.739 (0.828)	Data 0.001 (0.065)	Loss 3.0000 (2.7840)	Prec@1 32.031 (34.132)	Prec@5 58.594 (64.178)
Epoch: [13][70/14090]	Time 0.785 (0.820)	Data 0.001 (0.056)	Loss 2.6569 (2.7761)	Prec@1 32.031 (34.144)	Prec@5 68.750 (64.591)
Epoch: [13][80/14090]	Time 0.816 (0.814)	Data 0.001 (0.049)	Loss 2.6129 (2.7768)	Prec@1 32.031 (33.922)	Prec@5 68.750 (64.622)
Epoch: [13][90/14090]	Time 0.767 (0.809)	Data 0.001 (0.044)	Loss 2.9365 (2.7755)	Prec@1 32.031 (33.783)	Prec@5 59.375 (64.543)
Epoch: [13][100/14090]	Time 0.736 (0.805)	Data 0.001 (0.040)	Loss 3.0598 (2.7694)	Prec@1 29.688 (33.872)	Prec@5 60.156 (64.627)
Epoch: [13][110/14090]	Time 0.761 (0.804)	Data 0.001 (0.036)	Loss 2.6672 (2.7697)	Prec@1 37.500 (33.981)	Prec@5 68.750 (64.590)
Epoch: [13][120/14090]	Time 0.770 (0.801)	Data 0.001 (0.033)	Loss 2.7222 (2.7710)	Prec@1 32.812 (34.078)	Prec@5 66.406 (64.566)
Epoch: [13][130/14090]	Time 0.759 (0.801)	Data 0.001 (0.031)	Loss 2.2641 (2.7626)	Prec@1 46.094 (34.214)	Prec@5 71.875 (64.695)
Epoch: [13][140/14090]	Time 0.753 (0.798)	Data 0.001 (0.029)	Loss 2.3689 (2.7604)	Prec@1 38.281 (34.253)	Prec@5 76.562 (64.761)
Epoch: [13][150/14090]	Time 0.913 (0.797)	Data 0.001 (0.027)	Loss 2.6697 (2.7639)	Prec@1 33.594 (34.111)	Prec@5 65.625 (64.626)
Epoch: [13][160/14090]	Time 0.750 (0.795)	Data 0.001 (0.025)	Loss 2.7082 (2.7647)	Prec@1 33.594 (33.953)	Prec@5 66.406 (64.582)
Epoch: [13][170/14090]	Time 0.756 (0.793)	Data 0.001 (0.024)	Loss 2.8368 (2.7636)	Prec@1 32.812 (33.936)	Prec@5 58.594 (64.588)
Epoch: [13][180/14090]	Time 0.748 (0.793)	Data 0.001 (0.022)	Loss 2.6307 (2.7611)	Prec@1 35.156 (33.943)	Prec@5 64.844 (64.667)
Epoch: [13][190/14090]	Time 0.746 (0.791)	Data 0.001 (0.021)	Loss 2.3994 (2.7584)	Prec@1 39.844 (34.036)	Prec@5 71.094 (64.725)
Epoch: [13][200/14090]	Time 0.735 (0.790)	Data 0.001 (0.020)	Loss 2.8359 (2.7630)	Prec@1 35.156 (33.963)	Prec@5 64.844 (64.719)
Epoch: [13][210/14090]	Time 0.723 (0.789)	Data 0.001 (0.019)	Loss 2.7949 (2.7656)	Prec@1 34.375 (33.875)	Prec@5 66.406 (64.629)
Epoch: [13][220/14090]	Time 0.860 (0.788)	Data 0.001 (0.019)	Loss 2.8183 (2.7594)	Prec@1 34.375 (34.032)	Prec@5 63.281 (64.770)
Epoch: [13][230/14090]	Time 0.750 (0.787)	Data 0.001 (0.018)	Loss 3.1237 (2.7620)	Prec@1 26.562 (34.003)	Prec@5 55.469 (64.685)
Epoch: [13][240/14090]	Time 0.774 (0.787)	Data 0.001 (0.017)	Loss 3.1544 (2.7645)	Prec@1 25.000 (33.898)	Prec@5 55.469 (64.610)
Epoch: [13][250/14090]	Time 0.752 (0.786)	Data 0.001 (0.016)	Loss 2.7057 (2.7637)	Prec@1 35.938 (33.955)	Prec@5 71.875 (64.604)
Epoch: [13][260/14090]	Time 0.750 (0.785)	Data 0.001 (0.016)	Loss 2.3664 (2.7570)	Prec@1 42.969 (34.073)	Prec@5 71.094 (64.760)
Epoch: [13][270/14090]	Time 0.749 (0.785)	Data 0.001 (0.015)	Loss 2.9035 (2.7578)	Prec@1 35.156 (34.087)	Prec@5 61.719 (64.766)
Epoch: [13][280/14090]	Time 0.749 (0.784)	Data 0.001 (0.015)	Loss 2.5728 (2.7555)	Prec@1 35.938 (34.141)	Prec@5 68.750 (64.794)
Epoch: [13][290/14090]	Time 0.852 (0.784)	Data 0.001 (0.014)	Loss 2.7167 (2.7549)	Prec@1 33.594 (34.144)	Prec@5 66.406 (64.817)
Epoch: [13][300/14090]	Time 0.763 (0.783)	Data 0.001 (0.014)	Loss 2.8306 (2.7526)	Prec@1 32.031 (34.201)	Prec@5 60.938 (64.839)
Epoch: [13][310/14090]	Time 0.774 (0.783)	Data 0.001 (0.013)	Loss 2.7318 (2.7515)	Prec@1 36.719 (34.234)	Prec@5 67.969 (64.861)
Epoch: [13][320/14090]	Time 0.780 (0.783)	Data 0.001 (0.013)	Loss 2.6666 (2.7507)	Prec@1 34.375 (34.200)	Prec@5 65.625 (64.890)
Epoch: [13][330/14090]	Time 0.740 (0.782)	Data 0.001 (0.013)	Loss 2.9101 (2.7523)	Prec@1 32.031 (34.215)	Prec@5 63.281 (64.860)
Epoch: [13][340/14090]	Time 0.746 (0.782)	Data 0.001 (0.012)	Loss 2.3903 (2.7528)	Prec@1 42.969 (34.228)	Prec@5 72.656 (64.819)
Epoch: [13][350/14090]	Time 0.735 (0.781)	Data 0.001 (0.012)	Loss 2.9329 (2.7530)	Prec@1 30.469 (34.190)	Prec@5 61.719 (64.817)
Epoch: [13][360/14090]	Time 0.815 (0.781)	Data 0.001 (0.012)	Loss 2.5621 (2.7528)	Prec@1 35.938 (34.206)	Prec@5 70.312 (64.785)
Epoch: [13][370/14090]	Time 0.779 (0.780)	Data 0.001 (0.011)	Loss 2.7474 (2.7531)	Prec@1 35.938 (34.253)	Prec@5 66.406 (64.776)
Epoch: [13][380/14090]	Time 0.739 (0.780)	Data 0.001 (0.011)	Loss 2.6734 (2.7527)	Prec@1 37.500 (34.291)	Prec@5 67.969 (64.799)
Epoch: [13][390/14090]	Time 0.778 (0.780)	Data 0.001 (0.011)	Loss 2.9114 (2.7534)	Prec@1 34.375 (34.333)	Prec@5 58.594 (64.790)
Epoch: [13][400/14090]	Time 0.736 (0.779)	Data 0.001 (0.011)	Loss 2.7811 (2.7530)	Prec@1 26.562 (34.344)	Prec@5 63.281 (64.779)
Epoch: [13][410/14090]	Time 0.764 (0.779)	Data 0.001 (0.010)	Loss 2.6414 (2.7537)	Prec@1 35.938 (34.322)	Prec@5 65.625 (64.770)
Epoch: [13][420/14090]	Time 0.743 (0.779)	Data 0.001 (0.010)	Loss 2.6730 (2.7533)	Prec@1 32.031 (34.303)	Prec@5 61.719 (64.783)
Epoch: [13][430/14090]	Time 0.847 (0.779)	Data 0.001 (0.010)	Loss 2.7818 (2.7539)	Prec@1 27.344 (34.288)	Prec@5 66.406 (64.760)
Epoch: [13][440/14090]	Time 0.735 (0.778)	Data 0.001 (0.010)	Loss 2.5503 (2.7564)	Prec@1 38.281 (34.244)	Prec@5 71.875 (64.711)
Epoch: [13][450/14090]	Time 0.732 (0.778)	Data 0.001 (0.010)	Loss 2.8862 (2.7564)	Prec@1 35.156 (34.283)	Prec@5 59.375 (64.688)
Epoch: [13][460/14090]	Time 0.746 (0.778)	Data 0.001 (0.009)	Loss 2.7481 (2.7566)	Prec@1 35.156 (34.285)	Prec@5 67.969 (64.686)
Epoch: [13][470/14090]	Time 0.753 (0.777)	Data 0.001 (0.009)	Loss 2.6737 (2.7554)	Prec@1 39.062 (34.330)	Prec@5 65.625 (64.733)
Epoch: [13][480/14090]	Time 0.729 (0.777)	Data 0.001 (0.009)	Loss 3.0156 (2.7534)	Prec@1 24.219 (34.341)	Prec@5 58.594 (64.779)
Epoch: [13][490/14090]	Time 0.731 (0.777)	Data 0.001 (0.009)	Loss 2.7669 (2.7509)	Prec@1 32.812 (34.408)	Prec@5 61.719 (64.821)
Epoch: [13][500/14090]	Time 0.940 (0.777)	Data 0.001 (0.009)	Loss 2.5398 (2.7515)	Prec@1 41.406 (34.431)	Prec@5 65.625 (64.813)
Epoch: [13][510/14090]	Time 0.750 (0.777)	Data 0.001 (0.009)	Loss 2.3438 (2.7491)	Prec@1 41.406 (34.432)	Prec@5 76.562 (64.865)
Epoch: [13][520/14090]	Time 0.766 (0.776)	Data 0.001 (0.008)	Loss 2.9002 (2.7509)	Prec@1 32.812 (34.384)	Prec@5 61.719 (64.811)
Epoch: [13][530/14090]	Time 0.756 (0.776)	Data 0.001 (0.008)	Loss 3.0655 (2.7520)	Prec@1 28.125 (34.350)	Prec@5 58.594 (64.769)
Epoch: [13][540/14090]	Time 0.738 (0.776)	Data 0.001 (0.008)	Loss 2.8117 (2.7536)	Prec@1 34.375 (34.313)	Prec@5 58.594 (64.695)
Epoch: [13][550/14090]	Time 0.761 (0.776)	Data 0.001 (0.008)	Loss 2.7930 (2.7529)	Prec@1 35.156 (34.342)	Prec@5 64.844 (64.691)
Epoch: [13][560/14090]	Time 0.784 (0.776)	Data 0.001 (0.008)	Loss 2.6078 (2.7514)	Prec@1 35.156 (34.376)	Prec@5 67.188 (64.741)
Epoch: [13][570/14090]	Time 0.899 (0.776)	Data 0.001 (0.008)	Loss 2.4904 (2.7512)	Prec@1 32.812 (34.370)	Prec@5 75.000 (64.751)
Epoch: [13][580/14090]	Time 0.749 (0.776)	Data 0.001 (0.008)	Loss 2.4655 (2.7496)	Prec@1 34.375 (34.376)	Prec@5 68.750 (64.764)
Epoch: [13][590/14090]	Time 0.735 (0.775)	Data 0.001 (0.007)	Loss 2.5696 (2.7489)	Prec@1 37.500 (34.378)	Prec@5 65.625 (64.754)
Epoch: [13][600/14090]	Time 0.756 (0.775)	Data 0.001 (0.007)	Loss 2.8663 (2.7510)	Prec@1 28.125 (34.340)	Prec@5 60.156 (64.703)
Epoch: [13][610/14090]	Time 0.744 (0.775)	Data 0.001 (0.007)	Loss 2.9328 (2.7519)	Prec@1 26.562 (34.315)	Prec@5 59.375 (64.680)
Epoch: [13][620/14090]	Time 0.765 (0.775)	Data 0.001 (0.007)	Loss 2.7910 (2.7533)	Prec@1 33.594 (34.273)	Prec@5 67.188 (64.656)
Epoch: [13][630/14090]	Time 0.736 (0.775)	Data 0.001 (0.007)	Loss 3.0903 (2.7542)	Prec@1 34.375 (34.261)	Prec@5 57.031 (64.654)
Epoch: [13][640/14090]	Time 0.835 (0.775)	Data 0.001 (0.007)	Loss 2.9086 (2.7531)	Prec@1 34.375 (34.291)	Prec@5 62.500 (64.668)
Epoch: [13][650/14090]	Time 0.745 (0.775)	Data 0.001 (0.007)	Loss 2.3992 (2.7528)	Prec@1 36.719 (34.265)	Prec@5 74.219 (64.660)
Epoch: [13][660/14090]	Time 0.768 (0.774)	Data 0.001 (0.007)	Loss 2.8750 (2.7524)	Prec@1 33.594 (34.269)	Prec@5 60.156 (64.668)
Epoch: [13][670/14090]	Time 0.782 (0.774)	Data 0.001 (0.007)	Loss 2.9557 (2.7536)	Prec@1 30.469 (34.246)	Prec@5 60.156 (64.632)
Epoch: [13][680/14090]	Time 0.745 (0.774)	Data 0.001 (0.007)	Loss 2.8794 (2.7547)	Prec@1 38.281 (34.241)	Prec@5 62.500 (64.610)
Epoch: [13][690/14090]	Time 0.774 (0.774)	Data 0.001 (0.007)	Loss 2.5963 (2.7552)	Prec@1 35.938 (34.227)	Prec@5 67.969 (64.619)
Epoch: [13][700/14090]	Time 0.756 (0.774)	Data 0.001 (0.006)	Loss 2.8371 (2.7571)	Prec@1 33.594 (34.204)	Prec@5 62.500 (64.580)
Epoch: [13][710/14090]	Time 0.898 (0.774)	Data 0.001 (0.006)	Loss 2.7098 (2.7568)	Prec@1 40.625 (34.216)	Prec@5 64.062 (64.593)
Epoch: [13][720/14090]	Time 0.746 (0.774)	Data 0.001 (0.006)	Loss 2.6589 (2.7566)	Prec@1 36.719 (34.217)	Prec@5 65.625 (64.585)
Epoch: [13][730/14090]	Time 0.744 (0.774)	Data 0.001 (0.006)	Loss 2.7249 (2.7566)	Prec@1 36.719 (34.193)	Prec@5 64.062 (64.602)
Epoch: [13][740/14090]	Time 0.743 (0.774)	Data 0.001 (0.006)	Loss 2.9644 (2.7573)	Prec@1 30.469 (34.192)	Prec@5 57.812 (64.576)
Epoch: [13][750/14090]	Time 0.761 (0.774)	Data 0.001 (0.006)	Loss 2.8898 (2.7576)	Prec@1 32.031 (34.161)	Prec@5 59.375 (64.556)
Epoch: [13][760/14090]	Time 0.723 (0.774)	Data 0.001 (0.006)	Loss 2.9575 (2.7576)	Prec@1 28.906 (34.158)	Prec@5 58.594 (64.554)
Epoch: [13][770/14090]	Time 0.781 (0.773)	Data 0.001 (0.006)	Loss 2.7767 (2.7579)	Prec@1 32.812 (34.154)	Prec@5 64.062 (64.556)
Epoch: [13][780/14090]	Time 0.812 (0.773)	Data 0.001 (0.006)	Loss 2.7414 (2.7588)	Prec@1 37.500 (34.140)	Prec@5 62.500 (64.545)
Epoch: [13][790/14090]	Time 0.753 (0.773)	Data 0.001 (0.006)	Loss 2.6739 (2.7590)	Prec@1 36.719 (34.145)	Prec@5 64.062 (64.549)
Epoch: [13][800/14090]	Time 0.759 (0.773)	Data 0.001 (0.006)	Loss 3.0757 (2.7602)	Prec@1 31.250 (34.141)	Prec@5 55.469 (64.529)
Epoch: [13][810/14090]	Time 0.736 (0.773)	Data 0.001 (0.006)	Loss 2.7502 (2.7593)	Prec@1 35.938 (34.165)	Prec@5 61.719 (64.535)
Epoch: [13][820/14090]	Time 0.777 (0.773)	Data 0.001 (0.006)	Loss 2.4952 (2.7588)	Prec@1 35.938 (34.182)	Prec@5 63.281 (64.542)
Epoch: [13][830/14090]	Time 0.758 (0.773)	Data 0.001 (0.006)	Loss 2.8769 (2.7592)	Prec@1 34.375 (34.179)	Prec@5 68.750 (64.556)
Epoch: [13][840/14090]	Time 0.750 (0.773)	Data 0.001 (0.006)	Loss 2.9207 (2.7588)	Prec@1 28.125 (34.199)	Prec@5 59.375 (64.556)
Epoch: [13][850/14090]	Time 0.870 (0.773)	Data 0.001 (0.005)	Loss 2.6949 (2.7596)	Prec@1 36.719 (34.185)	Prec@5 63.281 (64.543)
Epoch: [13][860/14090]	Time 0.740 (0.773)	Data 0.001 (0.005)	Loss 2.6383 (2.7599)	Prec@1 33.594 (34.179)	Prec@5 62.500 (64.524)
Epoch: [13][870/14090]	Time 0.789 (0.773)	Data 0.001 (0.005)	Loss 2.6372 (2.7584)	Prec@1 33.594 (34.205)	Prec@5 67.188 (64.569)
Epoch: [13][880/14090]	Time 0.736 (0.773)	Data 0.001 (0.005)	Loss 2.7121 (2.7591)	Prec@1 34.375 (34.171)	Prec@5 66.406 (64.551)
Epoch: [13][890/14090]	Time 0.755 (0.773)	Data 0.001 (0.005)	Loss 2.7024 (2.7577)	Prec@1 39.062 (34.205)	Prec@5 67.969 (64.591)
Epoch: [13][900/14090]	Time 0.760 (0.773)	Data 0.001 (0.005)	Loss 2.5378 (2.7578)	Prec@1 32.031 (34.196)	Prec@5 69.531 (64.562)
Epoch: [13][910/14090]	Time 0.759 (0.773)	Data 0.001 (0.005)	Loss 2.4587 (2.7575)	Prec@1 39.844 (34.203)	Prec@5 71.094 (64.568)
Epoch: [13][920/14090]	Time 0.870 (0.773)	Data 0.001 (0.005)	Loss 2.4904 (2.7578)	Prec@1 38.281 (34.215)	Prec@5 71.094 (64.573)
Epoch: [13][930/14090]	Time 0.784 (0.772)	Data 0.001 (0.005)	Loss 2.7674 (2.7573)	Prec@1 33.594 (34.226)	Prec@5 61.719 (64.571)
Epoch: [13][940/14090]	Time 0.750 (0.772)	Data 0.001 (0.005)	Loss 2.7945 (2.7570)	Prec@1 33.594 (34.254)	Prec@5 65.625 (64.586)
Epoch: [13][950/14090]	Time 0.732 (0.772)	Data 0.001 (0.005)	Loss 2.9971 (2.7579)	Prec@1 29.688 (34.247)	Prec@5 61.719 (64.571)
Epoch: [13][960/14090]	Time 0.753 (0.772)	Data 0.001 (0.005)	Loss 2.9486 (2.7584)	Prec@1 29.688 (34.238)	Prec@5 62.500 (64.562)
Epoch: [13][970/14090]	Time 0.742 (0.773)	Data 0.001 (0.005)	Loss 3.0226 (2.7593)	Prec@1 33.594 (34.217)	Prec@5 60.938 (64.544)
Epoch: [13][980/14090]	Time 0.737 (0.773)	Data 0.001 (0.005)	Loss 2.6743 (2.7587)	Prec@1 40.625 (34.244)	Prec@5 65.625 (64.557)
Epoch: [13][990/14090]	Time 0.846 (0.773)	Data 0.001 (0.005)	Loss 2.7478 (2.7587)	Prec@1 33.594 (34.249)	Prec@5 67.188 (64.557)
Epoch: [13][1000/14090]	Time 0.729 (0.772)	Data 0.001 (0.005)	Loss 2.7976 (2.7594)	Prec@1 37.500 (34.251)	Prec@5 66.406 (64.533)
Epoch: [13][1010/14090]	Time 0.761 (0.772)	Data 0.001 (0.005)	Loss 2.9253 (2.7597)	Prec@1 32.031 (34.261)	Prec@5 61.719 (64.532)
Epoch: [13][1020/14090]	Time 0.729 (0.772)	Data 0.001 (0.005)	Loss 2.6524 (2.7604)	Prec@1 36.719 (34.259)	Prec@5 64.844 (64.522)
Epoch: [13][1030/14090]	Time 0.796 (0.772)	Data 0.001 (0.005)	Loss 3.1295 (2.7611)	Prec@1 26.562 (34.255)	Prec@5 52.344 (64.491)
Epoch: [13][1040/14090]	Time 0.745 (0.772)	Data 0.001 (0.005)	Loss 2.4546 (2.7610)	Prec@1 39.062 (34.240)	Prec@5 75.000 (64.514)
Epoch: [13][1050/14090]	Time 0.748 (0.772)	Data 0.001 (0.005)	Loss 2.7324 (2.7609)	Prec@1 35.156 (34.230)	Prec@5 64.062 (64.513)
Epoch: [13][1060/14090]	Time 0.847 (0.772)	Data 0.001 (0.005)	Loss 2.6990 (2.7606)	Prec@1 35.156 (34.244)	Prec@5 66.406 (64.520)
Epoch: [13][1070/14090]	Time 0.730 (0.772)	Data 0.001 (0.005)	Loss 2.6866 (2.7607)	Prec@1 38.281 (34.238)	Prec@5 64.062 (64.522)
Epoch: [13][1080/14090]	Time 0.749 (0.772)	Data 0.001 (0.004)	Loss 2.6354 (2.7603)	Prec@1 37.500 (34.242)	Prec@5 62.500 (64.528)
Epoch: [13][1090/14090]	Time 0.767 (0.772)	Data 0.001 (0.004)	Loss 2.6211 (2.7606)	Prec@1 32.812 (34.230)	Prec@5 64.062 (64.514)
Epoch: [13][1100/14090]	Time 0.760 (0.772)	Data 0.001 (0.004)	Loss 2.8567 (2.7612)	Prec@1 32.812 (34.209)	Prec@5 63.281 (64.500)
Epoch: [13][1110/14090]	Time 0.748 (0.772)	Data 0.001 (0.004)	Loss 2.7317 (2.7609)	Prec@1 30.469 (34.198)	Prec@5 67.188 (64.509)
Epoch: [13][1120/14090]	Time 0.762 (0.772)	Data 0.001 (0.004)	Loss 2.7746 (2.7605)	Prec@1 29.688 (34.193)	Prec@5 60.156 (64.515)
Epoch: [13][1130/14090]	Time 0.878 (0.772)	Data 0.001 (0.004)	Loss 2.6302 (2.7600)	Prec@1 34.375 (34.194)	Prec@5 64.844 (64.509)
Epoch: [13][1140/14090]	Time 0.748 (0.772)	Data 0.001 (0.004)	Loss 2.6302 (2.7610)	Prec@1 42.969 (34.170)	Prec@5 65.625 (64.489)
Epoch: [13][1150/14090]	Time 0.735 (0.772)	Data 0.001 (0.004)	Loss 3.2593 (2.7611)	Prec@1 21.094 (34.165)	Prec@5 53.125 (64.484)
Epoch: [13][1160/14090]	Time 0.734 (0.772)	Data 0.001 (0.004)	Loss 3.0178 (2.7612)	Prec@1 30.469 (34.154)	Prec@5 61.719 (64.486)
Epoch: [13][1170/14090]	Time 0.757 (0.772)	Data 0.001 (0.004)	Loss 2.5408 (2.7604)	Prec@1 40.625 (34.156)	Prec@5 69.531 (64.505)
Epoch: [13][1180/14090]	Time 0.725 (0.772)	Data 0.001 (0.004)	Loss 2.9650 (2.7604)	Prec@1 29.688 (34.140)	Prec@5 61.719 (64.512)
Epoch: [13][1190/14090]	Time 0.737 (0.772)	Data 0.001 (0.004)	Loss 2.8375 (2.7601)	Prec@1 29.688 (34.144)	Prec@5 57.812 (64.526)
Epoch: [13][1200/14090]	Time 0.849 (0.772)	Data 0.001 (0.004)	Loss 2.8043 (2.7608)	Prec@1 30.469 (34.113)	Prec@5 64.844 (64.502)
Epoch: [13][1210/14090]	Time 0.741 (0.772)	Data 0.001 (0.004)	Loss 2.4085 (2.7604)	Prec@1 40.625 (34.119)	Prec@5 64.062 (64.504)
Epoch: [13][1220/14090]	Time 0.740 (0.771)	Data 0.001 (0.004)	Loss 2.7999 (2.7602)	Prec@1 32.031 (34.134)	Prec@5 63.281 (64.505)
Epoch: [13][1230/14090]	Time 0.747 (0.771)	Data 0.001 (0.004)	Loss 2.7670 (2.7599)	Prec@1 31.250 (34.132)	Prec@5 60.156 (64.501)
Epoch: [13][1240/14090]	Time 0.780 (0.771)	Data 0.001 (0.004)	Loss 2.9813 (2.7601)	Prec@1 25.000 (34.125)	Prec@5 62.500 (64.499)
Epoch: [13][1250/14090]	Time 0.756 (0.771)	Data 0.001 (0.004)	Loss 2.9632 (2.7606)	Prec@1 25.000 (34.106)	Prec@5 57.031 (64.507)
Epoch: [13][1260/14090]	Time 0.764 (0.771)	Data 0.001 (0.004)	Loss 2.7596 (2.7609)	Prec@1 28.906 (34.085)	Prec@5 65.625 (64.499)
Epoch: [13][1270/14090]	Time 0.880 (0.771)	Data 0.001 (0.004)	Loss 2.8440 (2.7612)	Prec@1 29.688 (34.086)	Prec@5 63.281 (64.490)
Epoch: [13][1280/14090]	Time 0.749 (0.771)	Data 0.001 (0.004)	Loss 3.1822 (2.7617)	Prec@1 26.562 (34.081)	Prec@5 51.562 (64.477)
Epoch: [13][1290/14090]	Time 0.762 (0.771)	Data 0.001 (0.004)	Loss 3.0075 (2.7617)	Prec@1 31.250 (34.091)	Prec@5 64.844 (64.488)
Epoch: [13][1300/14090]	Time 0.725 (0.771)	Data 0.001 (0.004)	Loss 3.1730 (2.7618)	Prec@1 28.125 (34.084)	Prec@5 55.469 (64.494)
Epoch: [13][1310/14090]	Time 0.747 (0.771)	Data 0.001 (0.004)	Loss 2.7490 (2.7618)	Prec@1 39.844 (34.078)	Prec@5 64.062 (64.486)
Epoch: [13][1320/14090]	Time 0.764 (0.771)	Data 0.001 (0.004)	Loss 2.8720 (2.7623)	Prec@1 27.344 (34.072)	Prec@5 60.938 (64.476)
Epoch: [13][1330/14090]	Time 0.780 (0.771)	Data 0.001 (0.004)	Loss 2.6243 (2.7625)	Prec@1 36.719 (34.074)	Prec@5 69.531 (64.458)
Epoch: [13][1340/14090]	Time 0.841 (0.771)	Data 0.001 (0.004)	Loss 2.5788 (2.7629)	Prec@1 37.500 (34.073)	Prec@5 67.969 (64.453)
Epoch: [13][1350/14090]	Time 0.800 (0.771)	Data 0.001 (0.004)	Loss 2.4788 (2.7624)	Prec@1 42.969 (34.100)	Prec@5 64.062 (64.449)
Epoch: [13][1360/14090]	Time 0.730 (0.771)	Data 0.001 (0.004)	Loss 2.8638 (2.7620)	Prec@1 32.812 (34.097)	Prec@5 63.281 (64.467)
Epoch: [13][1370/14090]	Time 0.734 (0.771)	Data 0.001 (0.004)	Loss 2.4758 (2.7610)	Prec@1 44.531 (34.113)	Prec@5 66.406 (64.493)
Epoch: [13][1380/14090]	Time 0.784 (0.771)	Data 0.001 (0.004)	Loss 2.9299 (2.7613)	Prec@1 28.125 (34.107)	Prec@5 64.844 (64.488)
Epoch: [13][1390/14090]	Time 0.756 (0.771)	Data 0.001 (0.004)	Loss 2.7193 (2.7619)	Prec@1 35.156 (34.089)	Prec@5 66.406 (64.478)
Epoch: [13][1400/14090]	Time 0.763 (0.771)	Data 0.001 (0.004)	Loss 2.9734 (2.7617)	Prec@1 27.344 (34.087)	Prec@5 61.719 (64.477)
Epoch: [13][1410/14090]	Time 0.869 (0.771)	Data 0.001 (0.004)	Loss 2.8822 (2.7614)	Prec@1 30.469 (34.094)	Prec@5 63.281 (64.497)
Epoch: [13][1420/14090]	Time 0.757 (0.771)	Data 0.001 (0.004)	Loss 2.7251 (2.7618)	Prec@1 35.938 (34.088)	Prec@5 67.969 (64.493)
Epoch: [13][1430/14090]	Time 0.748 (0.771)	Data 0.001 (0.004)	Loss 2.6214 (2.7619)	Prec@1 37.500 (34.099)	Prec@5 67.969 (64.494)
Epoch: [13][1440/14090]	Time 0.782 (0.771)	Data 0.001 (0.004)	Loss 2.5185 (2.7620)	Prec@1 38.281 (34.096)	Prec@5 66.406 (64.488)
Epoch: [13][1450/14090]	Time 0.730 (0.771)	Data 0.001 (0.004)	Loss 2.5927 (2.7616)	Prec@1 35.156 (34.106)	Prec@5 70.312 (64.491)
Epoch: [13][1460/14090]	Time 0.766 (0.771)	Data 0.001 (0.004)	Loss 2.7280 (2.7611)	Prec@1 35.938 (34.124)	Prec@5 68.750 (64.508)
Epoch: [13][1470/14090]	Time 0.743 (0.771)	Data 0.001 (0.004)	Loss 2.7112 (2.7615)	Prec@1 30.469 (34.109)	Prec@5 70.312 (64.495)
Epoch: [13][1480/14090]	Time 0.822 (0.771)	Data 0.001 (0.004)	Loss 2.6982 (2.7621)	Prec@1 33.594 (34.098)	Prec@5 65.625 (64.486)
Epoch: [13][1490/14090]	Time 0.756 (0.771)	Data 0.001 (0.003)	Loss 2.8641 (2.7619)	Prec@1 28.906 (34.099)	Prec@5 60.938 (64.493)
Epoch: [13][1500/14090]	Time 0.773 (0.771)	Data 0.001 (0.003)	Loss 2.9913 (2.7618)	Prec@1 32.031 (34.110)	Prec@5 64.844 (64.500)
Epoch: [13][1510/14090]	Time 0.775 (0.771)	Data 0.001 (0.003)	Loss 2.5533 (2.7614)	Prec@1 37.500 (34.101)	Prec@5 70.312 (64.503)
Epoch: [13][1520/14090]	Time 0.745 (0.771)	Data 0.001 (0.003)	Loss 2.7594 (2.7608)	Prec@1 28.125 (34.110)	Prec@5 63.281 (64.509)
Epoch: [13][1530/14090]	Time 0.776 (0.771)	Data 0.001 (0.003)	Loss 2.8607 (2.7612)	Prec@1 28.125 (34.107)	Prec@5 64.062 (64.503)
Epoch: [13][1540/14090]	Time 0.731 (0.771)	Data 0.001 (0.003)	Loss 2.6515 (2.7620)	Prec@1 31.250 (34.089)	Prec@5 70.312 (64.491)
Epoch: [13][1550/14090]	Time 0.847 (0.771)	Data 0.001 (0.003)	Loss 3.0289 (2.7632)	Prec@1 27.344 (34.055)	Prec@5 63.281 (64.471)
Epoch: [13][1560/14090]	Time 0.731 (0.771)	Data 0.001 (0.003)	Loss 2.8843 (2.7633)	Prec@1 32.031 (34.065)	Prec@5 60.156 (64.466)
Epoch: [13][1570/14090]	Time 0.732 (0.771)	Data 0.001 (0.003)	Loss 3.1620 (2.7629)	Prec@1 26.562 (34.077)	Prec@5 54.688 (64.470)
Epoch: [13][1580/14090]	Time 0.731 (0.771)	Data 0.001 (0.003)	Loss 2.6737 (2.7625)	Prec@1 36.719 (34.092)	Prec@5 64.062 (64.481)
Epoch: [13][1590/14090]	Time 0.757 (0.771)	Data 0.001 (0.003)	Loss 2.5666 (2.7623)	Prec@1 32.812 (34.088)	Prec@5 70.312 (64.480)
Epoch: [13][1600/14090]	Time 0.755 (0.771)	Data 0.001 (0.003)	Loss 2.5740 (2.7620)	Prec@1 40.625 (34.101)	Prec@5 64.062 (64.484)
Epoch: [13][1610/14090]	Time 0.753 (0.771)	Data 0.001 (0.003)	Loss 2.7724 (2.7614)	Prec@1 34.375 (34.120)	Prec@5 67.969 (64.492)
Epoch: [13][1620/14090]	Time 0.868 (0.771)	Data 0.001 (0.003)	Loss 2.6635 (2.7613)	Prec@1 35.938 (34.112)	Prec@5 66.406 (64.493)
Epoch: [13][1630/14090]	Time 0.755 (0.771)	Data 0.001 (0.003)	Loss 2.6797 (2.7605)	Prec@1 36.719 (34.136)	Prec@5 67.188 (64.512)
Epoch: [13][1640/14090]	Time 0.746 (0.770)	Data 0.001 (0.003)	Loss 2.6444 (2.7603)	Prec@1 41.406 (34.136)	Prec@5 64.844 (64.515)
Epoch: [13][1650/14090]	Time 0.760 (0.770)	Data 0.001 (0.003)	Loss 2.9003 (2.7602)	Prec@1 28.906 (34.132)	Prec@5 61.719 (64.518)
Epoch: [13][1660/14090]	Time 0.727 (0.770)	Data 0.001 (0.003)	Loss 2.9461 (2.7601)	Prec@1 32.812 (34.136)	Prec@5 57.812 (64.522)
Epoch: [13][1670/14090]	Time 0.752 (0.770)	Data 0.001 (0.003)	Loss 2.6274 (2.7597)	Prec@1 35.938 (34.143)	Prec@5 66.406 (64.528)
Epoch: [13][1680/14090]	Time 0.728 (0.770)	Data 0.001 (0.003)	Loss 2.4907 (2.7600)	Prec@1 42.188 (34.141)	Prec@5 70.312 (64.525)
Epoch: [13][1690/14090]	Time 0.863 (0.770)	Data 0.001 (0.003)	Loss 2.4876 (2.7599)	Prec@1 42.969 (34.147)	Prec@5 71.875 (64.531)
Epoch: [13][1700/14090]	Time 0.744 (0.770)	Data 0.001 (0.003)	Loss 2.9024 (2.7604)	Prec@1 34.375 (34.139)	Prec@5 58.594 (64.519)
Epoch: [13][1710/14090]	Time 0.803 (0.770)	Data 0.002 (0.003)	Loss 3.0701 (2.7612)	Prec@1 35.156 (34.142)	Prec@5 59.375 (64.509)
Epoch: [13][1720/14090]	Time 0.742 (0.770)	Data 0.001 (0.003)	Loss 2.9909 (2.7615)	Prec@1 27.344 (34.132)	Prec@5 63.281 (64.502)
Epoch: [13][1730/14090]	Time 0.786 (0.770)	Data 0.001 (0.003)	Loss 2.8195 (2.7617)	Prec@1 33.594 (34.136)	Prec@5 67.188 (64.500)
Epoch: [13][1740/14090]	Time 0.739 (0.770)	Data 0.001 (0.003)	Loss 2.6630 (2.7621)	Prec@1 34.375 (34.131)	Prec@5 67.969 (64.502)
Epoch: [13][1750/14090]	Time 0.726 (0.770)	Data 0.001 (0.003)	Loss 3.0083 (2.7619)	Prec@1 34.375 (34.144)	Prec@5 62.500 (64.500)
Epoch: [13][1760/14090]	Time 0.854 (0.770)	Data 0.001 (0.003)	Loss 2.9247 (2.7619)	Prec@1 28.125 (34.145)	Prec@5 60.938 (64.500)
Epoch: [13][1770/14090]	Time 0.763 (0.770)	Data 0.001 (0.003)	Loss 2.7806 (2.7625)	Prec@1 32.031 (34.146)	Prec@5 64.844 (64.488)
Epoch: [13][1780/14090]	Time 0.739 (0.770)	Data 0.001 (0.003)	Loss 2.7969 (2.7627)	Prec@1 34.375 (34.139)	Prec@5 61.719 (64.478)
Epoch: [13][1790/14090]	Time 0.783 (0.770)	Data 0.001 (0.003)	Loss 2.6496 (2.7624)	Prec@1 34.375 (34.151)	Prec@5 61.719 (64.476)
Epoch: [13][1800/14090]	Time 0.749 (0.770)	Data 0.001 (0.003)	Loss 2.7440 (2.7620)	Prec@1 32.031 (34.146)	Prec@5 61.719 (64.488)
Epoch: [13][1810/14090]	Time 0.754 (0.770)	Data 0.001 (0.003)	Loss 3.1718 (2.7625)	Prec@1 28.125 (34.131)	Prec@5 57.812 (64.476)
Epoch: [13][1820/14090]	Time 0.736 (0.770)	Data 0.001 (0.003)	Loss 2.7647 (2.7624)	Prec@1 31.250 (34.127)	Prec@5 67.188 (64.478)
Epoch: [13][1830/14090]	Time 0.857 (0.770)	Data 0.001 (0.003)	Loss 2.7839 (2.7624)	Prec@1 33.594 (34.128)	Prec@5 61.719 (64.478)
Epoch: [13][1840/14090]	Time 0.739 (0.770)	Data 0.001 (0.003)	Loss 3.0402 (2.7627)	Prec@1 28.906 (34.130)	Prec@5 53.906 (64.471)
Epoch: [13][1850/14090]	Time 0.753 (0.770)	Data 0.001 (0.003)	Loss 2.4851 (2.7626)	Prec@1 39.062 (34.140)	Prec@5 71.875 (64.480)
Epoch: [13][1860/14090]	Time 0.753 (0.770)	Data 0.001 (0.003)	Loss 2.7826 (2.7633)	Prec@1 35.938 (34.129)	Prec@5 62.500 (64.453)
Epoch: [13][1870/14090]	Time 0.742 (0.770)	Data 0.001 (0.003)	Loss 2.7916 (2.7635)	Prec@1 31.250 (34.118)	Prec@5 62.500 (64.442)
Epoch: [13][1880/14090]	Time 0.751 (0.770)	Data 0.001 (0.003)	Loss 2.8503 (2.7634)	Prec@1 33.594 (34.117)	Prec@5 64.062 (64.447)
Epoch: [13][1890/14090]	Time 0.756 (0.770)	Data 0.001 (0.003)	Loss 2.9987 (2.7636)	Prec@1 35.156 (34.109)	Prec@5 61.719 (64.438)
Epoch: [13][1900/14090]	Time 0.831 (0.770)	Data 0.001 (0.003)	Loss 2.6940 (2.7638)	Prec@1 36.719 (34.109)	Prec@5 71.094 (64.441)
Epoch: [13][1910/14090]	Time 0.753 (0.770)	Data 0.001 (0.003)	Loss 3.1357 (2.7640)	Prec@1 25.000 (34.099)	Prec@5 60.156 (64.433)
Epoch: [13][1920/14090]	Time 0.765 (0.770)	Data 0.001 (0.003)	Loss 2.9069 (2.7640)	Prec@1 27.344 (34.094)	Prec@5 66.406 (64.434)
Epoch: [13][1930/14090]	Time 0.741 (0.770)	Data 0.001 (0.003)	Loss 2.5948 (2.7636)	Prec@1 34.375 (34.099)	Prec@5 68.750 (64.440)
Epoch: [13][1940/14090]	Time 0.741 (0.770)	Data 0.001 (0.003)	Loss 2.6509 (2.7638)	Prec@1 39.062 (34.106)	Prec@5 67.969 (64.434)
Epoch: [13][1950/14090]	Time 0.731 (0.770)	Data 0.001 (0.003)	Loss 3.0009 (2.7640)	Prec@1 31.250 (34.100)	Prec@5 59.375 (64.435)
Epoch: [13][1960/14090]	Time 0.755 (0.770)	Data 0.001 (0.003)	Loss 3.0830 (2.7643)	Prec@1 28.906 (34.101)	Prec@5 56.250 (64.433)
Epoch: [13][1970/14090]	Time 0.904 (0.770)	Data 0.001 (0.003)	Loss 2.8640 (2.7643)	Prec@1 34.375 (34.096)	Prec@5 60.938 (64.432)
Epoch: [13][1980/14090]	Time 0.744 (0.770)	Data 0.001 (0.003)	Loss 2.5462 (2.7640)	Prec@1 35.938 (34.114)	Prec@5 67.969 (64.431)
Epoch: [13][1990/14090]	Time 0.723 (0.770)	Data 0.001 (0.003)	Loss 2.5574 (2.7638)	Prec@1 37.500 (34.114)	Prec@5 72.656 (64.446)
Epoch: [13][2000/14090]	Time 0.776 (0.770)	Data 0.001 (0.003)	Loss 2.8028 (2.7639)	Prec@1 36.719 (34.118)	Prec@5 64.844 (64.442)
Epoch: [13][2010/14090]	Time 0.755 (0.770)	Data 0.001 (0.003)	Loss 2.6082 (2.7643)	Prec@1 42.188 (34.115)	Prec@5 64.844 (64.435)
Epoch: [13][2020/14090]	Time 0.763 (0.770)	Data 0.001 (0.003)	Loss 3.1430 (2.7650)	Prec@1 27.344 (34.100)	Prec@5 57.031 (64.422)
Epoch: [13][2030/14090]	Time 0.761 (0.770)	Data 0.001 (0.003)	Loss 2.7344 (2.7649)	Prec@1 36.719 (34.110)	Prec@5 60.156 (64.424)
Epoch: [13][2040/14090]	Time 0.831 (0.770)	Data 0.001 (0.003)	Loss 2.5544 (2.7651)	Prec@1 41.406 (34.105)	Prec@5 65.625 (64.415)
Epoch: [13][2050/14090]	Time 0.751 (0.770)	Data 0.001 (0.003)	Loss 2.5078 (2.7653)	Prec@1 38.281 (34.100)	Prec@5 67.188 (64.410)
Epoch: [13][2060/14090]	Time 0.756 (0.770)	Data 0.001 (0.003)	Loss 3.0414 (2.7653)	Prec@1 33.594 (34.102)	Prec@5 56.250 (64.409)
Epoch: [13][2070/14090]	Time 0.731 (0.770)	Data 0.001 (0.003)	Loss 2.9203 (2.7656)	Prec@1 30.469 (34.097)	Prec@5 57.812 (64.403)
Epoch: [13][2080/14090]	Time 0.735 (0.770)	Data 0.001 (0.003)	Loss 2.7325 (2.7663)	Prec@1 37.500 (34.089)	Prec@5 62.500 (64.384)
Epoch: [13][2090/14090]	Time 0.754 (0.770)	Data 0.001 (0.003)	Loss 3.0466 (2.7665)	Prec@1 30.469 (34.082)	Prec@5 58.594 (64.385)
Epoch: [13][2100/14090]	Time 0.757 (0.770)	Data 0.001 (0.003)	Loss 2.5965 (2.7658)	Prec@1 36.719 (34.100)	Prec@5 70.312 (64.396)
Epoch: [13][2110/14090]	Time 0.894 (0.770)	Data 0.002 (0.003)	Loss 2.5064 (2.7656)	Prec@1 38.281 (34.103)	Prec@5 70.312 (64.404)
Epoch: [13][2120/14090]	Time 0.747 (0.770)	Data 0.001 (0.003)	Loss 2.9105 (2.7660)	Prec@1 39.062 (34.094)	Prec@5 64.844 (64.395)
Epoch: [13][2130/14090]	Time 0.727 (0.770)	Data 0.001 (0.003)	Loss 2.7822 (2.7663)	Prec@1 35.938 (34.092)	Prec@5 64.062 (64.392)
Epoch: [13][2140/14090]	Time 0.775 (0.770)	Data 0.001 (0.003)	Loss 2.9061 (2.7661)	Prec@1 33.594 (34.096)	Prec@5 61.719 (64.395)
Epoch: [13][2150/14090]	Time 0.733 (0.770)	Data 0.001 (0.003)	Loss 2.5088 (2.7661)	Prec@1 38.281 (34.101)	Prec@5 67.969 (64.392)
Epoch: [13][2160/14090]	Time 0.751 (0.770)	Data 0.001 (0.003)	Loss 2.8143 (2.7663)	Prec@1 32.812 (34.096)	Prec@5 64.062 (64.389)
Epoch: [13][2170/14090]	Time 0.739 (0.770)	Data 0.001 (0.003)	Loss 2.6961 (2.7666)	Prec@1 33.594 (34.090)	Prec@5 67.188 (64.385)
Epoch: [13][2180/14090]	Time 0.879 (0.770)	Data 0.001 (0.003)	Loss 2.8174 (2.7661)	Prec@1 28.906 (34.097)	Prec@5 62.500 (64.387)
Epoch: [13][2190/14090]	Time 0.725 (0.770)	Data 0.001 (0.003)	Loss 2.6934 (2.7664)	Prec@1 35.156 (34.087)	Prec@5 65.625 (64.383)
Epoch: [13][2200/14090]	Time 0.754 (0.770)	Data 0.001 (0.003)	Loss 2.7958 (2.7666)	Prec@1 33.594 (34.089)	Prec@5 63.281 (64.383)
Epoch: [13][2210/14090]	Time 0.754 (0.770)	Data 0.001 (0.003)	Loss 2.9822 (2.7667)	Prec@1 26.562 (34.086)	Prec@5 64.062 (64.384)
Epoch: [13][2220/14090]	Time 0.760 (0.770)	Data 0.001 (0.003)	Loss 2.9982 (2.7670)	Prec@1 32.812 (34.087)	Prec@5 58.594 (64.375)
Epoch: [13][2230/14090]	Time 0.729 (0.770)	Data 0.001 (0.003)	Loss 2.7356 (2.7668)	Prec@1 35.938 (34.085)	Prec@5 68.750 (64.386)
Epoch: [13][2240/14090]	Time 0.733 (0.770)	Data 0.001 (0.003)	Loss 3.0706 (2.7674)	Prec@1 31.250 (34.070)	Prec@5 50.781 (64.372)
Epoch: [13][2250/14090]	Time 0.857 (0.770)	Data 0.001 (0.003)	Loss 2.5879 (2.7673)	Prec@1 39.844 (34.077)	Prec@5 68.750 (64.379)
Epoch: [13][2260/14090]	Time 0.752 (0.770)	Data 0.001 (0.003)	Loss 2.5890 (2.7667)	Prec@1 39.844 (34.091)	Prec@5 65.625 (64.389)
Epoch: [13][2270/14090]	Time 0.746 (0.770)	Data 0.001 (0.003)	Loss 3.1372 (2.7670)	Prec@1 34.375 (34.088)	Prec@5 57.031 (64.382)
Epoch: [13][2280/14090]	Time 0.743 (0.770)	Data 0.001 (0.003)	Loss 2.7756 (2.7673)	Prec@1 32.031 (34.075)	Prec@5 66.406 (64.369)
Epoch: [13][2290/14090]	Time 0.782 (0.770)	Data 0.001 (0.003)	Loss 2.8609 (2.7678)	Prec@1 26.562 (34.061)	Prec@5 65.625 (64.365)
Epoch: [13][2300/14090]	Time 0.728 (0.770)	Data 0.000 (0.003)	Loss 2.8615 (2.7680)	Prec@1 32.031 (34.054)	Prec@5 64.062 (64.363)
Epoch: [13][2310/14090]	Time 0.754 (0.770)	Data 0.001 (0.003)	Loss 3.0498 (2.7683)	Prec@1 28.125 (34.050)	Prec@5 54.688 (64.359)
Epoch: [13][2320/14090]	Time 0.853 (0.770)	Data 0.001 (0.003)	Loss 2.9901 (2.7686)	Prec@1 31.250 (34.048)	Prec@5 63.281 (64.355)
Epoch: [13][2330/14090]	Time 0.742 (0.769)	Data 0.001 (0.003)	Loss 2.6351 (2.7682)	Prec@1 34.375 (34.057)	Prec@5 66.406 (64.365)
Epoch: [13][2340/14090]	Time 0.739 (0.769)	Data 0.001 (0.003)	Loss 2.8449 (2.7681)	Prec@1 31.250 (34.065)	Prec@5 64.062 (64.365)
Epoch: [13][2350/14090]	Time 0.729 (0.769)	Data 0.001 (0.003)	Loss 2.6651 (2.7679)	Prec@1 38.281 (34.069)	Prec@5 67.188 (64.374)
Epoch: [13][2360/14090]	Time 0.746 (0.770)	Data 0.001 (0.003)	Loss 2.8434 (2.7680)	Prec@1 30.469 (34.072)	Prec@5 67.188 (64.373)
Epoch: [13][2370/14090]	Time 0.749 (0.770)	Data 0.001 (0.003)	Loss 2.7044 (2.7681)	Prec@1 32.031 (34.070)	Prec@5 66.406 (64.368)
Epoch: [13][2380/14090]	Time 0.733 (0.769)	Data 0.001 (0.003)	Loss 2.5572 (2.7685)	Prec@1 42.969 (34.065)	Prec@5 65.625 (64.362)
Epoch: [13][2390/14090]	Time 0.859 (0.770)	Data 0.001 (0.002)	Loss 2.7503 (2.7687)	Prec@1 35.938 (34.057)	Prec@5 69.531 (64.356)
Epoch: [13][2400/14090]	Time 0.731 (0.769)	Data 0.001 (0.002)	Loss 2.8623 (2.7686)	Prec@1 35.938 (34.058)	Prec@5 64.844 (64.362)
Epoch: [13][2410/14090]	Time 0.736 (0.769)	Data 0.001 (0.002)	Loss 3.0308 (2.7689)	Prec@1 28.125 (34.052)	Prec@5 55.469 (64.362)
Epoch: [13][2420/14090]	Time 0.784 (0.769)	Data 0.001 (0.002)	Loss 2.9615 (2.7687)	Prec@1 30.469 (34.050)	Prec@5 58.594 (64.361)
Epoch: [13][2430/14090]	Time 0.746 (0.769)	Data 0.001 (0.002)	Loss 2.9697 (2.7683)	Prec@1 29.688 (34.057)	Prec@5 58.594 (64.370)
Epoch: [13][2440/14090]	Time 0.754 (0.769)	Data 0.001 (0.002)	Loss 2.8254 (2.7684)	Prec@1 31.250 (34.056)	Prec@5 63.281 (64.369)
Epoch: [13][2450/14090]	Time 0.774 (0.769)	Data 0.001 (0.002)	Loss 2.5569 (2.7679)	Prec@1 37.500 (34.061)	Prec@5 66.406 (64.377)
Epoch: [13][2460/14090]	Time 0.849 (0.769)	Data 0.001 (0.002)	Loss 2.8119 (2.7680)	Prec@1 32.812 (34.067)	Prec@5 60.156 (64.375)
Epoch: [13][2470/14090]	Time 0.742 (0.769)	Data 0.001 (0.002)	Loss 2.8939 (2.7678)	Prec@1 31.250 (34.065)	Prec@5 67.188 (64.381)
Epoch: [13][2480/14090]	Time 0.750 (0.769)	Data 0.001 (0.002)	Loss 2.7831 (2.7680)	Prec@1 35.156 (34.066)	Prec@5 65.625 (64.379)
Epoch: [13][2490/14090]	Time 0.779 (0.769)	Data 0.001 (0.002)	Loss 2.8917 (2.7682)	Prec@1 28.125 (34.067)	Prec@5 64.844 (64.373)
Epoch: [13][2500/14090]	Time 0.777 (0.769)	Data 0.002 (0.002)	Loss 3.1121 (2.7683)	Prec@1 22.656 (34.063)	Prec@5 56.250 (64.375)
Epoch: [13][2510/14090]	Time 0.739 (0.769)	Data 0.001 (0.002)	Loss 2.6456 (2.7682)	Prec@1 37.500 (34.074)	Prec@5 68.750 (64.377)
Epoch: [13][2520/14090]	Time 0.737 (0.769)	Data 0.001 (0.002)	Loss 2.6383 (2.7678)	Prec@1 34.375 (34.078)	Prec@5 67.188 (64.383)
Epoch: [13][2530/14090]	Time 0.974 (0.769)	Data 0.001 (0.002)	Loss 2.8258 (2.7680)	Prec@1 30.469 (34.077)	Prec@5 61.719 (64.375)
Epoch: [13][2540/14090]	Time 0.724 (0.769)	Data 0.001 (0.002)	Loss 2.5856 (2.7678)	Prec@1 35.156 (34.078)	Prec@5 70.312 (64.375)
Epoch: [13][2550/14090]	Time 0.736 (0.769)	Data 0.001 (0.002)	Loss 2.6942 (2.7677)	Prec@1 39.844 (34.083)	Prec@5 67.969 (64.380)
Epoch: [13][2560/14090]	Time 0.774 (0.769)	Data 0.001 (0.002)	Loss 2.7072 (2.7682)	Prec@1 35.156 (34.082)	Prec@5 64.844 (64.373)
Epoch: [13][2570/14090]	Time 0.764 (0.769)	Data 0.001 (0.002)	Loss 2.8199 (2.7681)	Prec@1 34.375 (34.089)	Prec@5 62.500 (64.372)
Epoch: [13][2580/14090]	Time 0.751 (0.769)	Data 0.001 (0.002)	Loss 2.7025 (2.7679)	Prec@1 35.156 (34.091)	Prec@5 60.938 (64.375)
Epoch: [13][2590/14090]	Time 0.781 (0.769)	Data 0.001 (0.002)	Loss 2.8528 (2.7678)	Prec@1 32.031 (34.094)	Prec@5 62.500 (64.374)
Epoch: [13][2600/14090]	Time 0.839 (0.769)	Data 0.001 (0.002)	Loss 2.7421 (2.7678)	Prec@1 33.594 (34.094)	Prec@5 63.281 (64.371)
Epoch: [13][2610/14090]	Time 0.754 (0.769)	Data 0.001 (0.002)	Loss 2.2737 (2.7672)	Prec@1 44.531 (34.101)	Prec@5 71.094 (64.386)
Epoch: [13][2620/14090]	Time 0.740 (0.769)	Data 0.001 (0.002)	Loss 2.5330 (2.7675)	Prec@1 39.844 (34.090)	Prec@5 71.094 (64.379)
Epoch: [13][2630/14090]	Time 0.744 (0.769)	Data 0.001 (0.002)	Loss 2.6525 (2.7676)	Prec@1 39.844 (34.086)	Prec@5 72.656 (64.386)
Epoch: [13][2640/14090]	Time 0.733 (0.769)	Data 0.001 (0.002)	Loss 2.6183 (2.7674)	Prec@1 42.188 (34.089)	Prec@5 67.969 (64.390)
Epoch: [13][2650/14090]	Time 0.769 (0.769)	Data 0.001 (0.002)	Loss 2.6821 (2.7676)	Prec@1 37.500 (34.088)	Prec@5 64.844 (64.384)
Epoch: [13][2660/14090]	Time 0.753 (0.769)	Data 0.001 (0.002)	Loss 2.5839 (2.7672)	Prec@1 32.812 (34.091)	Prec@5 64.062 (64.391)
Epoch: [13][2670/14090]	Time 0.848 (0.769)	Data 0.001 (0.002)	Loss 2.7291 (2.7669)	Prec@1 34.375 (34.097)	Prec@5 64.844 (64.395)
Epoch: [13][2680/14090]	Time 0.758 (0.769)	Data 0.001 (0.002)	Loss 2.6441 (2.7670)	Prec@1 32.031 (34.095)	Prec@5 69.531 (64.393)
Epoch: [13][2690/14090]	Time 0.779 (0.769)	Data 0.001 (0.002)	Loss 2.7345 (2.7670)	Prec@1 31.250 (34.096)	Prec@5 65.625 (64.396)
Epoch: [13][2700/14090]	Time 0.756 (0.769)	Data 0.001 (0.002)	Loss 2.8032 (2.7670)	Prec@1 30.469 (34.101)	Prec@5 64.062 (64.396)
Epoch: [13][2710/14090]	Time 0.759 (0.769)	Data 0.001 (0.002)	Loss 2.5036 (2.7668)	Prec@1 39.844 (34.108)	Prec@5 65.625 (64.398)
Epoch: [13][2720/14090]	Time 0.754 (0.769)	Data 0.001 (0.002)	Loss 2.8142 (2.7667)	Prec@1 36.719 (34.115)	Prec@5 64.844 (64.403)
Epoch: [13][2730/14090]	Time 0.731 (0.769)	Data 0.001 (0.002)	Loss 2.8599 (2.7665)	Prec@1 32.812 (34.117)	Prec@5 70.312 (64.414)
Epoch: [13][2740/14090]	Time 0.834 (0.769)	Data 0.001 (0.002)	Loss 3.0317 (2.7665)	Prec@1 32.812 (34.113)	Prec@5 57.812 (64.411)
Epoch: [13][2750/14090]	Time 0.750 (0.769)	Data 0.001 (0.002)	Loss 3.0592 (2.7668)	Prec@1 25.000 (34.109)	Prec@5 52.344 (64.403)
Epoch: [13][2760/14090]	Time 0.730 (0.769)	Data 0.001 (0.002)	Loss 2.7408 (2.7671)	Prec@1 30.469 (34.099)	Prec@5 66.406 (64.395)
Epoch: [13][2770/14090]	Time 0.762 (0.769)	Data 0.001 (0.002)	Loss 2.6249 (2.7668)	Prec@1 35.938 (34.099)	Prec@5 69.531 (64.403)
Epoch: [13][2780/14090]	Time 0.764 (0.769)	Data 0.001 (0.002)	Loss 2.9382 (2.7667)	Prec@1 28.125 (34.099)	Prec@5 61.719 (64.406)
Epoch: [13][2790/14090]	Time 0.748 (0.769)	Data 0.001 (0.002)	Loss 2.7346 (2.7667)	Prec@1 34.375 (34.099)	Prec@5 59.375 (64.403)
Epoch: [13][2800/14090]	Time 0.749 (0.769)	Data 0.001 (0.002)	Loss 2.7119 (2.7669)	Prec@1 37.500 (34.099)	Prec@5 64.844 (64.403)
Epoch: [13][2810/14090]	Time 0.847 (0.769)	Data 0.001 (0.002)	Loss 2.6815 (2.7668)	Prec@1 40.625 (34.106)	Prec@5 68.750 (64.409)
Epoch: [13][2820/14090]	Time 0.730 (0.769)	Data 0.001 (0.002)	Loss 2.7012 (2.7667)	Prec@1 35.156 (34.111)	Prec@5 69.531 (64.411)
Epoch: [13][2830/14090]	Time 0.757 (0.769)	Data 0.001 (0.002)	Loss 2.7277 (2.7670)	Prec@1 32.031 (34.111)	Prec@5 67.969 (64.406)
Epoch: [13][2840/14090]	Time 0.735 (0.769)	Data 0.001 (0.002)	Loss 2.6818 (2.7674)	Prec@1 32.031 (34.109)	Prec@5 64.844 (64.395)
Epoch: [13][2850/14090]	Time 0.743 (0.769)	Data 0.001 (0.002)	Loss 2.9704 (2.7677)	Prec@1 33.594 (34.103)	Prec@5 57.031 (64.389)
Epoch: [13][2860/14090]	Time 0.750 (0.769)	Data 0.001 (0.002)	Loss 2.8125 (2.7676)	Prec@1 32.812 (34.103)	Prec@5 59.375 (64.390)
Epoch: [13][2870/14090]	Time 0.741 (0.769)	Data 0.001 (0.002)	Loss 2.9015 (2.7678)	Prec@1 32.812 (34.099)	Prec@5 63.281 (64.385)
Epoch: [13][2880/14090]	Time 0.847 (0.769)	Data 0.001 (0.002)	Loss 2.9726 (2.7680)	Prec@1 28.906 (34.092)	Prec@5 58.594 (64.382)
Epoch: [13][2890/14090]	Time 0.736 (0.769)	Data 0.001 (0.002)	Loss 2.7748 (2.7681)	Prec@1 34.375 (34.092)	Prec@5 62.500 (64.374)
Epoch: [13][2900/14090]	Time 0.748 (0.769)	Data 0.002 (0.002)	Loss 2.8309 (2.7684)	Prec@1 30.469 (34.087)	Prec@5 70.312 (64.371)
Epoch: [13][2910/14090]	Time 0.763 (0.769)	Data 0.001 (0.002)	Loss 2.6133 (2.7685)	Prec@1 35.156 (34.084)	Prec@5 62.500 (64.364)
Epoch: [13][2920/14090]	Time 0.766 (0.769)	Data 0.002 (0.002)	Loss 2.8169 (2.7687)	Prec@1 34.375 (34.083)	Prec@5 57.812 (64.360)
Epoch: [13][2930/14090]	Time 0.757 (0.769)	Data 0.002 (0.002)	Loss 2.5885 (2.7687)	Prec@1 32.031 (34.085)	Prec@5 73.438 (64.363)
Epoch: [13][2940/14090]	Time 0.727 (0.769)	Data 0.001 (0.002)	Loss 2.7943 (2.7683)	Prec@1 32.031 (34.088)	Prec@5 67.969 (64.372)
Epoch: [13][2950/14090]	Time 0.889 (0.769)	Data 0.001 (0.002)	Loss 2.8934 (2.7685)	Prec@1 33.594 (34.080)	Prec@5 63.281 (64.371)
Epoch: [13][2960/14090]	Time 0.769 (0.769)	Data 0.001 (0.002)	Loss 3.2127 (2.7689)	Prec@1 35.156 (34.075)	Prec@5 56.250 (64.362)
Epoch: [13][2970/14090]	Time 0.779 (0.769)	Data 0.001 (0.002)	Loss 2.9043 (2.7690)	Prec@1 32.031 (34.071)	Prec@5 60.156 (64.362)
Epoch: [13][2980/14090]	Time 0.728 (0.769)	Data 0.001 (0.002)	Loss 2.8250 (2.7693)	Prec@1 32.812 (34.065)	Prec@5 66.406 (64.358)
Epoch: [13][2990/14090]	Time 0.780 (0.769)	Data 0.001 (0.002)	Loss 2.8775 (2.7698)	Prec@1 35.156 (34.061)	Prec@5 58.594 (64.346)
Epoch: [13][3000/14090]	Time 0.735 (0.769)	Data 0.001 (0.002)	Loss 2.5558 (2.7695)	Prec@1 44.531 (34.072)	Prec@5 71.875 (64.360)
Epoch: [13][3010/14090]	Time 0.781 (0.769)	Data 0.001 (0.002)	Loss 2.9575 (2.7696)	Prec@1 33.594 (34.067)	Prec@5 62.500 (64.359)
Epoch: [13][3020/14090]	Time 0.884 (0.769)	Data 0.001 (0.002)	Loss 3.0293 (2.7698)	Prec@1 33.594 (34.066)	Prec@5 60.156 (64.356)
Epoch: [13][3030/14090]	Time 0.727 (0.769)	Data 0.001 (0.002)	Loss 2.7896 (2.7699)	Prec@1 32.031 (34.060)	Prec@5 64.844 (64.351)
Epoch: [13][3040/14090]	Time 0.783 (0.769)	Data 0.001 (0.002)	Loss 2.6182 (2.7702)	Prec@1 31.250 (34.054)	Prec@5 71.094 (64.345)
Epoch: [13][3050/14090]	Time 0.759 (0.769)	Data 0.001 (0.002)	Loss 2.7131 (2.7701)	Prec@1 39.844 (34.054)	Prec@5 65.625 (64.344)
Epoch: [13][3060/14090]	Time 0.773 (0.769)	Data 0.001 (0.002)	Loss 2.5573 (2.7703)	Prec@1 39.844 (34.054)	Prec@5 67.188 (64.343)
Epoch: [13][3070/14090]	Time 0.738 (0.769)	Data 0.001 (0.002)	Loss 2.7705 (2.7704)	Prec@1 37.500 (34.053)	Prec@5 65.625 (64.338)
Epoch: [13][3080/14090]	Time 0.764 (0.769)	Data 0.001 (0.002)	Loss 2.6299 (2.7706)	Prec@1 39.844 (34.047)	Prec@5 64.844 (64.338)
Epoch: [13][3090/14090]	Time 0.855 (0.769)	Data 0.001 (0.002)	Loss 2.9543 (2.7706)	Prec@1 29.688 (34.041)	Prec@5 64.062 (64.340)
Epoch: [13][3100/14090]	Time 0.723 (0.769)	Data 0.001 (0.002)	Loss 3.0551 (2.7707)	Prec@1 27.344 (34.037)	Prec@5 58.594 (64.337)
Epoch: [13][3110/14090]	Time 0.735 (0.769)	Data 0.001 (0.002)	Loss 2.7323 (2.7708)	Prec@1 29.688 (34.031)	Prec@5 64.062 (64.334)
Epoch: [13][3120/14090]	Time 0.748 (0.769)	Data 0.001 (0.002)	Loss 2.6411 (2.7708)	Prec@1 36.719 (34.034)	Prec@5 66.406 (64.338)
Epoch: [13][3130/14090]	Time 0.717 (0.769)	Data 0.001 (0.002)	Loss 2.9133 (2.7711)	Prec@1 29.688 (34.027)	Prec@5 60.156 (64.334)
Epoch: [13][3140/14090]	Time 0.734 (0.769)	Data 0.001 (0.002)	Loss 3.0033 (2.7711)	Prec@1 31.250 (34.030)	Prec@5 59.375 (64.330)
Epoch: [13][3150/14090]	Time 0.741 (0.769)	Data 0.001 (0.002)	Loss 2.7246 (2.7709)	Prec@1 32.031 (34.029)	Prec@5 66.406 (64.335)
Epoch: [13][3160/14090]	Time 0.818 (0.768)	Data 0.001 (0.002)	Loss 2.6379 (2.7710)	Prec@1 33.594 (34.026)	Prec@5 64.844 (64.332)
Epoch: [13][3170/14090]	Time 0.730 (0.768)	Data 0.001 (0.002)	Loss 2.8996 (2.7712)	Prec@1 33.594 (34.021)	Prec@5 62.500 (64.330)
Epoch: [13][3180/14090]	Time 0.741 (0.768)	Data 0.001 (0.002)	Loss 3.0114 (2.7713)	Prec@1 27.344 (34.015)	Prec@5 62.500 (64.329)
Epoch: [13][3190/14090]	Time 0.735 (0.768)	Data 0.001 (0.002)	Loss 2.6023 (2.7711)	Prec@1 34.375 (34.017)	Prec@5 65.625 (64.332)
Epoch: [13][3200/14090]	Time 0.746 (0.768)	Data 0.001 (0.002)	Loss 2.9548 (2.7711)	Prec@1 28.125 (34.019)	Prec@5 60.938 (64.332)
Epoch: [13][3210/14090]	Time 0.750 (0.768)	Data 0.001 (0.002)	Loss 3.0781 (2.7713)	Prec@1 25.000 (34.016)	Prec@5 55.469 (64.326)
Epoch: [13][3220/14090]	Time 0.753 (0.768)	Data 0.001 (0.002)	Loss 2.8074 (2.7713)	Prec@1 29.688 (34.015)	Prec@5 68.750 (64.330)
Epoch: [13][3230/14090]	Time 0.813 (0.768)	Data 0.001 (0.002)	Loss 2.8508 (2.7712)	Prec@1 31.250 (34.019)	Prec@5 56.250 (64.328)
Epoch: [13][3240/14090]	Time 0.748 (0.768)	Data 0.001 (0.002)	Loss 2.8686 (2.7714)	Prec@1 28.906 (34.012)	Prec@5 61.719 (64.325)
Epoch: [13][3250/14090]	Time 0.756 (0.768)	Data 0.001 (0.002)	Loss 2.8907 (2.7716)	Prec@1 35.156 (34.009)	Prec@5 64.062 (64.323)
Epoch: [13][3260/14090]	Time 0.755 (0.768)	Data 0.001 (0.002)	Loss 3.0478 (2.7717)	Prec@1 28.125 (34.003)	Prec@5 57.812 (64.314)
Epoch: [13][3270/14090]	Time 0.776 (0.768)	Data 0.001 (0.002)	Loss 2.6524 (2.7715)	Prec@1 35.156 (34.007)	Prec@5 67.969 (64.319)
Epoch: [13][3280/14090]	Time 0.727 (0.768)	Data 0.001 (0.002)	Loss 3.3965 (2.7719)	Prec@1 24.219 (33.992)	Prec@5 58.594 (64.314)
Epoch: [13][3290/14090]	Time 0.737 (0.768)	Data 0.001 (0.002)	Loss 3.2543 (2.7723)	Prec@1 24.219 (33.984)	Prec@5 54.688 (64.307)
Epoch: [13][3300/14090]	Time 0.878 (0.768)	Data 0.001 (0.002)	Loss 2.5736 (2.7722)	Prec@1 33.594 (33.982)	Prec@5 67.969 (64.308)
Epoch: [13][3310/14090]	Time 0.754 (0.768)	Data 0.001 (0.002)	Loss 2.6209 (2.7722)	Prec@1 38.281 (33.988)	Prec@5 60.156 (64.310)
Epoch: [13][3320/14090]	Time 0.738 (0.768)	Data 0.001 (0.002)	Loss 3.0091 (2.7723)	Prec@1 37.500 (33.991)	Prec@5 60.938 (64.311)
Epoch: [13][3330/14090]	Time 0.752 (0.768)	Data 0.001 (0.002)	Loss 2.6132 (2.7723)	Prec@1 41.406 (33.992)	Prec@5 67.188 (64.310)
Epoch: [13][3340/14090]	Time 0.775 (0.768)	Data 0.001 (0.002)	Loss 2.6863 (2.7721)	Prec@1 36.719 (33.994)	Prec@5 67.969 (64.312)
Epoch: [13][3350/14090]	Time 0.758 (0.768)	Data 0.001 (0.002)	Loss 2.8178 (2.7723)	Prec@1 35.156 (33.995)	Prec@5 62.500 (64.310)
Epoch: [13][3360/14090]	Time 0.732 (0.768)	Data 0.001 (0.002)	Loss 2.5085 (2.7722)	Prec@1 40.625 (33.999)	Prec@5 67.969 (64.311)
Epoch: [13][3370/14090]	Time 0.888 (0.768)	Data 0.001 (0.002)	Loss 3.0210 (2.7723)	Prec@1 28.906 (33.998)	Prec@5 65.625 (64.309)
Epoch: [13][3380/14090]	Time 0.761 (0.768)	Data 0.001 (0.002)	Loss 2.7712 (2.7722)	Prec@1 34.375 (34.003)	Prec@5 68.750 (64.310)
Epoch: [13][3390/14090]	Time 0.749 (0.768)	Data 0.001 (0.002)	Loss 2.5395 (2.7722)	Prec@1 36.719 (34.001)	Prec@5 67.969 (64.308)
Epoch: [13][3400/14090]	Time 0.731 (0.768)	Data 0.001 (0.002)	Loss 2.6948 (2.7720)	Prec@1 35.938 (34.007)	Prec@5 69.531 (64.312)
Epoch: [13][3410/14090]	Time 0.746 (0.768)	Data 0.001 (0.002)	Loss 2.7191 (2.7720)	Prec@1 33.594 (34.007)	Prec@5 61.719 (64.306)
Epoch: [13][3420/14090]	Time 0.767 (0.768)	Data 0.001 (0.002)	Loss 3.0456 (2.7721)	Prec@1 29.688 (34.010)	Prec@5 58.594 (64.305)
Epoch: [13][3430/14090]	Time 0.773 (0.768)	Data 0.001 (0.002)	Loss 3.0103 (2.7722)	Prec@1 27.344 (34.008)	Prec@5 64.062 (64.306)
Epoch: [13][3440/14090]	Time 0.834 (0.768)	Data 0.001 (0.002)	Loss 2.8900 (2.7723)	Prec@1 32.812 (34.009)	Prec@5 59.375 (64.302)
Epoch: [13][3450/14090]	Time 0.736 (0.768)	Data 0.001 (0.002)	Loss 2.7715 (2.7723)	Prec@1 38.281 (34.013)	Prec@5 67.188 (64.306)
Epoch: [13][3460/14090]	Time 0.779 (0.768)	Data 0.001 (0.002)	Loss 2.6907 (2.7723)	Prec@1 39.062 (34.012)	Prec@5 68.750 (64.305)
Epoch: [13][3470/14090]	Time 0.735 (0.768)	Data 0.001 (0.002)	Loss 2.7225 (2.7723)	Prec@1 35.156 (34.014)	Prec@5 64.844 (64.306)
Epoch: [13][3480/14090]	Time 0.778 (0.768)	Data 0.001 (0.002)	Loss 2.4989 (2.7723)	Prec@1 35.156 (34.015)	Prec@5 64.844 (64.307)
Epoch: [13][3490/14090]	Time 0.739 (0.768)	Data 0.001 (0.002)	Loss 2.6755 (2.7723)	Prec@1 36.719 (34.017)	Prec@5 71.875 (64.307)
Epoch: [13][3500/14090]	Time 0.750 (0.768)	Data 0.001 (0.002)	Loss 2.6039 (2.7724)	Prec@1 42.969 (34.016)	Prec@5 62.500 (64.299)
Epoch: [13][3510/14090]	Time 0.865 (0.768)	Data 0.001 (0.002)	Loss 2.4727 (2.7723)	Prec@1 43.750 (34.016)	Prec@5 71.875 (64.301)
Epoch: [13][3520/14090]	Time 0.729 (0.768)	Data 0.001 (0.002)	Loss 3.0032 (2.7722)	Prec@1 32.812 (34.014)	Prec@5 54.688 (64.300)
Epoch: [13][3530/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 3.0079 (2.7725)	Prec@1 30.469 (34.010)	Prec@5 62.500 (64.294)
Epoch: [13][3540/14090]	Time 0.724 (0.768)	Data 0.001 (0.002)	Loss 2.4305 (2.7725)	Prec@1 39.062 (34.007)	Prec@5 67.969 (64.295)
Epoch: [13][3550/14090]	Time 0.733 (0.768)	Data 0.001 (0.002)	Loss 2.8688 (2.7726)	Prec@1 35.938 (34.010)	Prec@5 60.938 (64.294)
Epoch: [13][3560/14090]	Time 0.743 (0.768)	Data 0.001 (0.002)	Loss 2.8260 (2.7727)	Prec@1 28.906 (34.013)	Prec@5 61.719 (64.290)
Epoch: [13][3570/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 2.5190 (2.7725)	Prec@1 39.844 (34.013)	Prec@5 70.312 (64.293)
Epoch: [13][3580/14090]	Time 0.849 (0.768)	Data 0.001 (0.002)	Loss 2.8164 (2.7725)	Prec@1 35.938 (34.017)	Prec@5 63.281 (64.293)
Epoch: [13][3590/14090]	Time 0.765 (0.768)	Data 0.001 (0.002)	Loss 2.6557 (2.7727)	Prec@1 36.719 (34.022)	Prec@5 67.969 (64.291)
Epoch: [13][3600/14090]	Time 0.756 (0.768)	Data 0.001 (0.002)	Loss 2.8881 (2.7727)	Prec@1 28.125 (34.023)	Prec@5 62.500 (64.291)
Epoch: [13][3610/14090]	Time 0.780 (0.768)	Data 0.001 (0.002)	Loss 2.7717 (2.7729)	Prec@1 30.469 (34.023)	Prec@5 63.281 (64.292)
Epoch: [13][3620/14090]	Time 0.750 (0.768)	Data 0.001 (0.002)	Loss 2.7846 (2.7729)	Prec@1 33.594 (34.016)	Prec@5 60.156 (64.291)
Epoch: [13][3630/14090]	Time 0.736 (0.768)	Data 0.001 (0.002)	Loss 3.1386 (2.7728)	Prec@1 28.125 (34.017)	Prec@5 54.688 (64.292)
Epoch: [13][3640/14090]	Time 0.736 (0.768)	Data 0.001 (0.002)	Loss 2.9115 (2.7728)	Prec@1 31.250 (34.014)	Prec@5 63.281 (64.291)
Epoch: [13][3650/14090]	Time 0.881 (0.768)	Data 0.001 (0.002)	Loss 2.7082 (2.7729)	Prec@1 32.812 (34.008)	Prec@5 65.625 (64.290)
Epoch: [13][3660/14090]	Time 0.732 (0.768)	Data 0.001 (0.002)	Loss 2.7482 (2.7729)	Prec@1 34.375 (34.005)	Prec@5 62.500 (64.290)
Epoch: [13][3670/14090]	Time 0.741 (0.768)	Data 0.001 (0.002)	Loss 2.9337 (2.7731)	Prec@1 35.156 (34.003)	Prec@5 60.156 (64.287)
Epoch: [13][3680/14090]	Time 0.735 (0.768)	Data 0.001 (0.002)	Loss 3.0141 (2.7732)	Prec@1 32.031 (34.007)	Prec@5 61.719 (64.285)
Epoch: [13][3690/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 2.7300 (2.7734)	Prec@1 34.375 (34.002)	Prec@5 64.844 (64.282)
Epoch: [13][3700/14090]	Time 0.755 (0.768)	Data 0.001 (0.002)	Loss 2.5215 (2.7734)	Prec@1 40.625 (34.003)	Prec@5 69.531 (64.283)
Epoch: [13][3710/14090]	Time 0.760 (0.768)	Data 0.001 (0.002)	Loss 2.6090 (2.7734)	Prec@1 35.938 (34.006)	Prec@5 67.969 (64.285)
Epoch: [13][3720/14090]	Time 0.851 (0.768)	Data 0.001 (0.002)	Loss 2.7243 (2.7733)	Prec@1 37.500 (34.012)	Prec@5 61.719 (64.284)
Epoch: [13][3730/14090]	Time 0.780 (0.768)	Data 0.001 (0.002)	Loss 3.0560 (2.7731)	Prec@1 30.469 (34.014)	Prec@5 63.281 (64.288)
Epoch: [13][3740/14090]	Time 0.757 (0.768)	Data 0.001 (0.002)	Loss 2.5236 (2.7730)	Prec@1 34.375 (34.020)	Prec@5 70.312 (64.291)
Epoch: [13][3750/14090]	Time 0.739 (0.768)	Data 0.001 (0.002)	Loss 2.4338 (2.7728)	Prec@1 35.938 (34.023)	Prec@5 75.781 (64.293)
Epoch: [13][3760/14090]	Time 0.778 (0.768)	Data 0.001 (0.002)	Loss 3.1380 (2.7730)	Prec@1 29.688 (34.020)	Prec@5 61.719 (64.291)
Epoch: [13][3770/14090]	Time 0.737 (0.768)	Data 0.000 (0.002)	Loss 2.3508 (2.7730)	Prec@1 46.094 (34.022)	Prec@5 67.188 (64.289)
Epoch: [13][3780/14090]	Time 0.727 (0.768)	Data 0.001 (0.002)	Loss 2.6602 (2.7730)	Prec@1 36.719 (34.019)	Prec@5 67.188 (64.292)
Epoch: [13][3790/14090]	Time 0.895 (0.768)	Data 0.001 (0.002)	Loss 2.9179 (2.7730)	Prec@1 35.156 (34.020)	Prec@5 58.594 (64.292)
Epoch: [13][3800/14090]	Time 0.756 (0.768)	Data 0.001 (0.002)	Loss 2.7253 (2.7729)	Prec@1 33.594 (34.017)	Prec@5 60.938 (64.295)
Epoch: [13][3810/14090]	Time 0.731 (0.768)	Data 0.001 (0.002)	Loss 2.8827 (2.7732)	Prec@1 32.031 (34.017)	Prec@5 63.281 (64.292)
Epoch: [13][3820/14090]	Time 0.749 (0.768)	Data 0.001 (0.002)	Loss 3.0609 (2.7731)	Prec@1 32.031 (34.021)	Prec@5 58.594 (64.293)
Epoch: [13][3830/14090]	Time 0.781 (0.768)	Data 0.001 (0.002)	Loss 2.4351 (2.7731)	Prec@1 41.406 (34.022)	Prec@5 69.531 (64.290)
Epoch: [13][3840/14090]	Time 0.738 (0.768)	Data 0.001 (0.002)	Loss 3.0477 (2.7733)	Prec@1 25.781 (34.016)	Prec@5 61.719 (64.287)
Epoch: [13][3850/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 3.0460 (2.7735)	Prec@1 28.125 (34.015)	Prec@5 56.250 (64.280)
Epoch: [13][3860/14090]	Time 0.872 (0.768)	Data 0.001 (0.002)	Loss 2.8994 (2.7736)	Prec@1 34.375 (34.015)	Prec@5 61.719 (64.275)
Epoch: [13][3870/14090]	Time 0.728 (0.768)	Data 0.001 (0.002)	Loss 2.8847 (2.7736)	Prec@1 34.375 (34.017)	Prec@5 60.938 (64.277)
Epoch: [13][3880/14090]	Time 0.730 (0.768)	Data 0.001 (0.002)	Loss 2.8612 (2.7735)	Prec@1 30.469 (34.019)	Prec@5 63.281 (64.279)
Epoch: [13][3890/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 2.7145 (2.7735)	Prec@1 33.594 (34.022)	Prec@5 62.500 (64.281)
Epoch: [13][3900/14090]	Time 0.759 (0.768)	Data 0.001 (0.002)	Loss 2.8496 (2.7736)	Prec@1 31.250 (34.020)	Prec@5 67.188 (64.285)
Epoch: [13][3910/14090]	Time 0.731 (0.768)	Data 0.001 (0.002)	Loss 2.7817 (2.7736)	Prec@1 36.719 (34.022)	Prec@5 63.281 (64.287)
Epoch: [13][3920/14090]	Time 0.734 (0.768)	Data 0.001 (0.002)	Loss 2.7486 (2.7735)	Prec@1 31.250 (34.019)	Prec@5 60.156 (64.289)
Epoch: [13][3930/14090]	Time 0.877 (0.768)	Data 0.001 (0.002)	Loss 2.6923 (2.7734)	Prec@1 28.906 (34.019)	Prec@5 65.625 (64.291)
Epoch: [13][3940/14090]	Time 0.743 (0.768)	Data 0.001 (0.002)	Loss 2.7794 (2.7734)	Prec@1 33.594 (34.022)	Prec@5 65.625 (64.290)
Epoch: [13][3950/14090]	Time 0.741 (0.768)	Data 0.001 (0.002)	Loss 2.5149 (2.7734)	Prec@1 37.500 (34.022)	Prec@5 69.531 (64.292)
Epoch: [13][3960/14090]	Time 0.755 (0.768)	Data 0.001 (0.002)	Loss 2.9346 (2.7733)	Prec@1 33.594 (34.025)	Prec@5 60.156 (64.293)
Epoch: [13][3970/14090]	Time 0.759 (0.768)	Data 0.001 (0.002)	Loss 2.6253 (2.7733)	Prec@1 38.281 (34.022)	Prec@5 63.281 (64.292)
Epoch: [13][3980/14090]	Time 0.730 (0.768)	Data 0.001 (0.002)	Loss 3.2032 (2.7736)	Prec@1 27.344 (34.013)	Prec@5 57.031 (64.283)
Epoch: [13][3990/14090]	Time 0.785 (0.768)	Data 0.001 (0.002)	Loss 2.9423 (2.7739)	Prec@1 31.250 (34.008)	Prec@5 64.062 (64.280)
Epoch: [13][4000/14090]	Time 0.846 (0.768)	Data 0.001 (0.002)	Loss 2.7846 (2.7741)	Prec@1 33.594 (34.006)	Prec@5 60.938 (64.275)
Epoch: [13][4010/14090]	Time 0.733 (0.768)	Data 0.001 (0.002)	Loss 2.8619 (2.7740)	Prec@1 31.250 (34.006)	Prec@5 64.844 (64.278)
Epoch: [13][4020/14090]	Time 0.734 (0.768)	Data 0.001 (0.002)	Loss 3.0052 (2.7740)	Prec@1 31.250 (34.005)	Prec@5 57.812 (64.278)
Epoch: [13][4030/14090]	Time 0.801 (0.768)	Data 0.001 (0.002)	Loss 2.9469 (2.7742)	Prec@1 31.250 (34.002)	Prec@5 64.062 (64.274)
Epoch: [13][4040/14090]	Time 0.762 (0.768)	Data 0.001 (0.002)	Loss 2.7831 (2.7744)	Prec@1 34.375 (33.999)	Prec@5 61.719 (64.269)
Epoch: [13][4050/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 3.0890 (2.7744)	Prec@1 34.375 (33.998)	Prec@5 58.594 (64.269)
Epoch: [13][4060/14090]	Time 0.780 (0.768)	Data 0.001 (0.002)	Loss 2.9505 (2.7745)	Prec@1 28.906 (33.997)	Prec@5 64.844 (64.269)
Epoch: [13][4070/14090]	Time 0.817 (0.768)	Data 0.001 (0.002)	Loss 2.5845 (2.7742)	Prec@1 36.719 (33.999)	Prec@5 68.750 (64.272)
Epoch: [13][4080/14090]	Time 0.729 (0.768)	Data 0.001 (0.002)	Loss 2.8132 (2.7744)	Prec@1 36.719 (33.994)	Prec@5 66.406 (64.268)
Epoch: [13][4090/14090]	Time 0.735 (0.768)	Data 0.001 (0.002)	Loss 2.7822 (2.7744)	Prec@1 32.031 (33.997)	Prec@5 63.281 (64.270)
Epoch: [13][4100/14090]	Time 0.758 (0.768)	Data 0.001 (0.002)	Loss 2.7095 (2.7744)	Prec@1 34.375 (33.994)	Prec@5 73.438 (64.272)
Epoch: [13][4110/14090]	Time 0.770 (0.768)	Data 0.001 (0.002)	Loss 2.5845 (2.7745)	Prec@1 41.406 (33.995)	Prec@5 67.969 (64.268)
Epoch: [13][4120/14090]	Time 0.775 (0.768)	Data 0.001 (0.002)	Loss 2.6175 (2.7744)	Prec@1 32.812 (34.001)	Prec@5 65.625 (64.273)
Epoch: [13][4130/14090]	Time 0.757 (0.768)	Data 0.001 (0.002)	Loss 2.5093 (2.7743)	Prec@1 34.375 (34.003)	Prec@5 70.312 (64.273)
Epoch: [13][4140/14090]	Time 0.828 (0.768)	Data 0.001 (0.002)	Loss 2.9224 (2.7743)	Prec@1 35.156 (34.002)	Prec@5 59.375 (64.272)
Epoch: [13][4150/14090]	Time 0.730 (0.768)	Data 0.001 (0.002)	Loss 2.7885 (2.7742)	Prec@1 35.156 (34.002)	Prec@5 64.062 (64.274)
Epoch: [13][4160/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 2.8690 (2.7743)	Prec@1 24.219 (34.000)	Prec@5 60.156 (64.274)
Epoch: [13][4170/14090]	Time 0.752 (0.768)	Data 0.001 (0.002)	Loss 2.6147 (2.7744)	Prec@1 39.062 (33.997)	Prec@5 66.406 (64.274)
Epoch: [13][4180/14090]	Time 0.759 (0.768)	Data 0.001 (0.002)	Loss 2.5347 (2.7743)	Prec@1 35.938 (34.001)	Prec@5 70.312 (64.279)
Epoch: [13][4190/14090]	Time 0.759 (0.768)	Data 0.002 (0.002)	Loss 2.7590 (2.7742)	Prec@1 32.031 (34.000)	Prec@5 61.719 (64.279)
Epoch: [13][4200/14090]	Time 0.756 (0.768)	Data 0.001 (0.002)	Loss 2.6942 (2.7742)	Prec@1 36.719 (33.999)	Prec@5 65.625 (64.277)
Epoch: [13][4210/14090]	Time 0.865 (0.768)	Data 0.001 (0.002)	Loss 2.7089 (2.7741)	Prec@1 32.812 (33.998)	Prec@5 71.094 (64.278)
Epoch: [13][4220/14090]	Time 0.764 (0.768)	Data 0.001 (0.002)	Loss 3.0350 (2.7742)	Prec@1 35.938 (33.999)	Prec@5 60.156 (64.277)
Epoch: [13][4230/14090]	Time 0.739 (0.768)	Data 0.001 (0.002)	Loss 2.5027 (2.7742)	Prec@1 35.156 (33.998)	Prec@5 69.531 (64.277)
Epoch: [13][4240/14090]	Time 0.761 (0.768)	Data 0.001 (0.002)	Loss 3.1947 (2.7743)	Prec@1 25.000 (33.993)	Prec@5 55.469 (64.274)
Epoch: [13][4250/14090]	Time 0.738 (0.768)	Data 0.001 (0.002)	Loss 3.1501 (2.7746)	Prec@1 27.344 (33.989)	Prec@5 52.344 (64.269)
Epoch: [13][4260/14090]	Time 0.757 (0.768)	Data 0.001 (0.002)	Loss 2.4937 (2.7747)	Prec@1 40.625 (33.986)	Prec@5 72.656 (64.270)
Epoch: [13][4270/14090]	Time 0.741 (0.768)	Data 0.001 (0.002)	Loss 2.5831 (2.7745)	Prec@1 36.719 (33.986)	Prec@5 66.406 (64.272)
Epoch: [13][4280/14090]	Time 0.831 (0.768)	Data 0.001 (0.002)	Loss 2.7886 (2.7745)	Prec@1 34.375 (33.984)	Prec@5 56.250 (64.270)
Epoch: [13][4290/14090]	Time 0.753 (0.768)	Data 0.001 (0.002)	Loss 2.6377 (2.7745)	Prec@1 35.938 (33.988)	Prec@5 63.281 (64.271)
Epoch: [13][4300/14090]	Time 0.755 (0.768)	Data 0.001 (0.002)	Loss 2.8055 (2.7745)	Prec@1 29.688 (33.987)	Prec@5 64.062 (64.271)
Epoch: [13][4310/14090]	Time 0.774 (0.768)	Data 0.001 (0.002)	Loss 2.7288 (2.7744)	Prec@1 31.250 (33.991)	Prec@5 66.406 (64.271)
Epoch: [13][4320/14090]	Time 0.731 (0.768)	Data 0.001 (0.002)	Loss 2.7470 (2.7744)	Prec@1 33.594 (33.987)	Prec@5 65.625 (64.273)
Epoch: [13][4330/14090]	Time 0.744 (0.768)	Data 0.001 (0.002)	Loss 2.7997 (2.7747)	Prec@1 29.688 (33.985)	Prec@5 64.062 (64.272)
Epoch: [13][4340/14090]	Time 0.764 (0.768)	Data 0.001 (0.002)	Loss 3.0493 (2.7750)	Prec@1 28.125 (33.981)	Prec@5 64.844 (64.268)
Epoch: [13][4350/14090]	Time 0.914 (0.768)	Data 0.001 (0.002)	Loss 2.7770 (2.7752)	Prec@1 31.250 (33.980)	Prec@5 63.281 (64.262)
Epoch: [13][4360/14090]	Time 0.762 (0.768)	Data 0.001 (0.002)	Loss 2.9235 (2.7752)	Prec@1 30.469 (33.977)	Prec@5 60.938 (64.261)
Epoch: [13][4370/14090]	Time 0.757 (0.768)	Data 0.001 (0.002)	Loss 2.8735 (2.7754)	Prec@1 35.938 (33.977)	Prec@5 58.594 (64.256)
Epoch: [13][4380/14090]	Time 0.737 (0.768)	Data 0.001 (0.002)	Loss 2.4519 (2.7752)	Prec@1 39.844 (33.983)	Prec@5 67.188 (64.263)
Epoch: [13][4390/14090]	Time 0.748 (0.768)	Data 0.001 (0.002)	Loss 2.7441 (2.7753)	Prec@1 32.031 (33.979)	Prec@5 63.281 (64.259)
Epoch: [13][4400/14090]	Time 0.754 (0.768)	Data 0.001 (0.002)	Loss 2.6251 (2.7754)	Prec@1 45.312 (33.980)	Prec@5 67.969 (64.258)
Epoch: [13][4410/14090]	Time 0.764 (0.768)	Data 0.001 (0.002)	Loss 2.7371 (2.7756)	Prec@1 28.125 (33.974)	Prec@5 65.625 (64.255)
Epoch: [13][4420/14090]	Time 0.821 (0.768)	Data 0.001 (0.002)	Loss 2.8714 (2.7754)	Prec@1 32.812 (33.977)	Prec@5 65.625 (64.258)
Epoch: [13][4430/14090]	Time 0.750 (0.768)	Data 0.001 (0.002)	Loss 2.6587 (2.7754)	Prec@1 39.844 (33.981)	Prec@5 67.188 (64.261)
Epoch: [13][4440/14090]	Time 0.784 (0.768)	Data 0.001 (0.002)	Loss 2.8580 (2.7753)	Prec@1 36.719 (33.987)	Prec@5 64.062 (64.264)
Epoch: [13][4450/14090]	Time 0.744 (0.768)	Data 0.001 (0.002)	Loss 2.7214 (2.7753)	Prec@1 39.844 (33.989)	Prec@5 66.406 (64.265)
Epoch: [13][4460/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 2.7523 (2.7751)	Prec@1 33.594 (33.994)	Prec@5 60.938 (64.268)
Epoch: [13][4470/14090]	Time 0.736 (0.768)	Data 0.001 (0.002)	Loss 2.4655 (2.7749)	Prec@1 43.750 (33.995)	Prec@5 68.750 (64.271)
Epoch: [13][4480/14090]	Time 0.729 (0.768)	Data 0.001 (0.002)	Loss 2.8718 (2.7750)	Prec@1 34.375 (33.994)	Prec@5 58.594 (64.271)
Epoch: [13][4490/14090]	Time 0.837 (0.768)	Data 0.001 (0.002)	Loss 2.6231 (2.7748)	Prec@1 36.719 (33.995)	Prec@5 65.625 (64.276)
Epoch: [13][4500/14090]	Time 0.734 (0.768)	Data 0.001 (0.002)	Loss 2.6745 (2.7747)	Prec@1 35.156 (33.998)	Prec@5 69.531 (64.280)
Epoch: [13][4510/14090]	Time 0.733 (0.768)	Data 0.001 (0.002)	Loss 2.5656 (2.7745)	Prec@1 38.281 (33.998)	Prec@5 67.188 (64.281)
Epoch: [13][4520/14090]	Time 0.728 (0.768)	Data 0.001 (0.002)	Loss 2.8355 (2.7746)	Prec@1 39.062 (33.999)	Prec@5 62.500 (64.279)
Epoch: [13][4530/14090]	Time 0.748 (0.768)	Data 0.001 (0.002)	Loss 3.0817 (2.7748)	Prec@1 32.031 (34.000)	Prec@5 55.469 (64.276)
Epoch: [13][4540/14090]	Time 0.760 (0.768)	Data 0.001 (0.002)	Loss 2.7754 (2.7750)	Prec@1 34.375 (33.998)	Prec@5 61.719 (64.273)
Epoch: [13][4550/14090]	Time 0.739 (0.768)	Data 0.001 (0.002)	Loss 2.9715 (2.7752)	Prec@1 26.562 (33.992)	Prec@5 60.156 (64.267)
Epoch: [13][4560/14090]	Time 0.856 (0.768)	Data 0.001 (0.002)	Loss 2.6968 (2.7753)	Prec@1 36.719 (33.994)	Prec@5 62.500 (64.264)
Epoch: [13][4570/14090]	Time 0.748 (0.768)	Data 0.001 (0.002)	Loss 2.5774 (2.7751)	Prec@1 39.062 (33.999)	Prec@5 64.844 (64.265)
Epoch: [13][4580/14090]	Time 0.729 (0.768)	Data 0.001 (0.002)	Loss 2.7163 (2.7750)	Prec@1 36.719 (34.001)	Prec@5 64.844 (64.264)
Epoch: [13][4590/14090]	Time 0.746 (0.768)	Data 0.001 (0.002)	Loss 2.5233 (2.7748)	Prec@1 39.844 (34.003)	Prec@5 67.969 (64.267)
Epoch: [13][4600/14090]	Time 0.739 (0.768)	Data 0.001 (0.002)	Loss 2.4206 (2.7746)	Prec@1 41.406 (34.004)	Prec@5 68.750 (64.268)
Epoch: [13][4610/14090]	Time 0.725 (0.768)	Data 0.001 (0.002)	Loss 2.7400 (2.7746)	Prec@1 32.812 (34.003)	Prec@5 64.844 (64.269)
Epoch: [13][4620/14090]	Time 0.764 (0.768)	Data 0.001 (0.002)	Loss 2.8655 (2.7745)	Prec@1 25.781 (34.004)	Prec@5 60.938 (64.267)
Epoch: [13][4630/14090]	Time 0.810 (0.768)	Data 0.001 (0.002)	Loss 2.9397 (2.7745)	Prec@1 39.062 (34.008)	Prec@5 60.938 (64.265)
Epoch: [13][4640/14090]	Time 0.775 (0.768)	Data 0.001 (0.002)	Loss 2.5435 (2.7745)	Prec@1 38.281 (34.004)	Prec@5 64.844 (64.261)
Epoch: [13][4650/14090]	Time 0.744 (0.768)	Data 0.001 (0.002)	Loss 2.4479 (2.7745)	Prec@1 39.844 (34.000)	Prec@5 67.969 (64.261)
Epoch: [13][4660/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 2.8634 (2.7743)	Prec@1 32.031 (34.005)	Prec@5 64.062 (64.264)
Epoch: [13][4670/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 3.0923 (2.7743)	Prec@1 29.688 (34.004)	Prec@5 57.812 (64.264)
Epoch: [13][4680/14090]	Time 0.752 (0.768)	Data 0.001 (0.002)	Loss 2.7319 (2.7741)	Prec@1 35.938 (34.010)	Prec@5 64.844 (64.268)
Epoch: [13][4690/14090]	Time 0.729 (0.768)	Data 0.001 (0.002)	Loss 2.5838 (2.7742)	Prec@1 38.281 (34.012)	Prec@5 64.062 (64.266)
Epoch: [13][4700/14090]	Time 0.825 (0.768)	Data 0.001 (0.002)	Loss 2.4668 (2.7741)	Prec@1 38.281 (34.013)	Prec@5 68.750 (64.267)
Epoch: [13][4710/14090]	Time 0.777 (0.768)	Data 0.001 (0.002)	Loss 2.7776 (2.7742)	Prec@1 30.469 (34.011)	Prec@5 64.062 (64.264)
Epoch: [13][4720/14090]	Time 0.732 (0.768)	Data 0.001 (0.002)	Loss 2.6255 (2.7741)	Prec@1 44.531 (34.013)	Prec@5 66.406 (64.267)
Epoch: [13][4730/14090]	Time 0.755 (0.768)	Data 0.001 (0.002)	Loss 2.6961 (2.7740)	Prec@1 35.938 (34.013)	Prec@5 67.969 (64.268)
Epoch: [13][4740/14090]	Time 0.765 (0.768)	Data 0.001 (0.002)	Loss 2.6428 (2.7739)	Prec@1 36.719 (34.014)	Prec@5 69.531 (64.266)
Epoch: [13][4750/14090]	Time 0.733 (0.768)	Data 0.001 (0.002)	Loss 2.8043 (2.7740)	Prec@1 31.250 (34.013)	Prec@5 68.750 (64.265)
Epoch: [13][4760/14090]	Time 0.753 (0.768)	Data 0.001 (0.002)	Loss 2.8250 (2.7741)	Prec@1 31.250 (34.010)	Prec@5 65.625 (64.263)
Epoch: [13][4770/14090]	Time 0.867 (0.768)	Data 0.001 (0.002)	Loss 2.8189 (2.7739)	Prec@1 35.156 (34.014)	Prec@5 65.625 (64.267)
Epoch: [13][4780/14090]	Time 0.731 (0.768)	Data 0.001 (0.002)	Loss 2.9827 (2.7741)	Prec@1 32.031 (34.012)	Prec@5 58.594 (64.261)
Epoch: [13][4790/14090]	Time 0.744 (0.768)	Data 0.001 (0.002)	Loss 2.9880 (2.7740)	Prec@1 32.031 (34.014)	Prec@5 60.938 (64.262)
Epoch: [13][4800/14090]	Time 0.722 (0.768)	Data 0.001 (0.002)	Loss 3.0211 (2.7740)	Prec@1 23.438 (34.012)	Prec@5 57.812 (64.263)
Epoch: [13][4810/14090]	Time 0.784 (0.768)	Data 0.001 (0.002)	Loss 2.8224 (2.7740)	Prec@1 32.031 (34.012)	Prec@5 61.719 (64.260)
Epoch: [13][4820/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 2.9785 (2.7741)	Prec@1 29.688 (34.012)	Prec@5 67.188 (64.261)
Epoch: [13][4830/14090]	Time 0.735 (0.768)	Data 0.001 (0.002)	Loss 2.6053 (2.7742)	Prec@1 41.406 (34.009)	Prec@5 67.969 (64.260)
Epoch: [13][4840/14090]	Time 0.823 (0.768)	Data 0.001 (0.002)	Loss 2.5554 (2.7743)	Prec@1 39.062 (34.009)	Prec@5 71.094 (64.261)
Epoch: [13][4850/14090]	Time 0.760 (0.768)	Data 0.001 (0.002)	Loss 2.9176 (2.7743)	Prec@1 32.812 (34.006)	Prec@5 59.375 (64.260)
Epoch: [13][4860/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 2.8814 (2.7745)	Prec@1 32.812 (34.004)	Prec@5 59.375 (64.257)
Epoch: [13][4870/14090]	Time 0.776 (0.767)	Data 0.001 (0.002)	Loss 2.6791 (2.7745)	Prec@1 32.031 (34.001)	Prec@5 62.500 (64.256)
Epoch: [13][4880/14090]	Time 0.774 (0.767)	Data 0.001 (0.002)	Loss 2.8907 (2.7744)	Prec@1 30.469 (34.000)	Prec@5 61.719 (64.255)
Epoch: [13][4890/14090]	Time 0.757 (0.767)	Data 0.001 (0.002)	Loss 2.8917 (2.7745)	Prec@1 33.594 (33.999)	Prec@5 66.406 (64.254)
Epoch: [13][4900/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 2.8338 (2.7746)	Prec@1 35.156 (33.999)	Prec@5 64.062 (64.255)
Epoch: [13][4910/14090]	Time 0.865 (0.767)	Data 0.001 (0.002)	Loss 2.6707 (2.7743)	Prec@1 42.969 (34.004)	Prec@5 65.625 (64.262)
Epoch: [13][4920/14090]	Time 0.773 (0.767)	Data 0.001 (0.002)	Loss 2.6641 (2.7745)	Prec@1 32.031 (34.002)	Prec@5 67.188 (64.258)
Epoch: [13][4930/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.8979 (2.7745)	Prec@1 31.250 (34.003)	Prec@5 64.062 (64.260)
Epoch: [13][4940/14090]	Time 0.767 (0.767)	Data 0.001 (0.002)	Loss 2.7482 (2.7745)	Prec@1 28.125 (33.999)	Prec@5 66.406 (64.259)
Epoch: [13][4950/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 2.8462 (2.7744)	Prec@1 29.688 (33.998)	Prec@5 66.406 (64.261)
Epoch: [13][4960/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 2.5549 (2.7744)	Prec@1 36.719 (33.996)	Prec@5 67.969 (64.263)
Epoch: [13][4970/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 2.6043 (2.7745)	Prec@1 36.719 (33.995)	Prec@5 69.531 (64.261)
Epoch: [13][4980/14090]	Time 0.814 (0.767)	Data 0.001 (0.002)	Loss 2.7396 (2.7746)	Prec@1 32.031 (33.992)	Prec@5 67.188 (64.261)
Epoch: [13][4990/14090]	Time 0.788 (0.767)	Data 0.001 (0.002)	Loss 2.7473 (2.7746)	Prec@1 29.688 (33.990)	Prec@5 65.625 (64.261)
Epoch: [13][5000/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 2.9471 (2.7748)	Prec@1 30.469 (33.990)	Prec@5 60.156 (64.259)
Epoch: [13][5010/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 2.7647 (2.7747)	Prec@1 35.156 (33.990)	Prec@5 64.844 (64.262)
Epoch: [13][5020/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 2.6900 (2.7746)	Prec@1 36.719 (33.991)	Prec@5 65.625 (64.265)
Epoch: [13][5030/14090]	Time 0.762 (0.767)	Data 0.001 (0.002)	Loss 2.7808 (2.7747)	Prec@1 26.562 (33.988)	Prec@5 58.594 (64.263)
Epoch: [13][5040/14090]	Time 0.774 (0.767)	Data 0.001 (0.002)	Loss 2.9348 (2.7747)	Prec@1 31.250 (33.988)	Prec@5 60.156 (64.261)
Epoch: [13][5050/14090]	Time 0.835 (0.767)	Data 0.001 (0.002)	Loss 2.4755 (2.7747)	Prec@1 39.844 (33.988)	Prec@5 67.969 (64.259)
Epoch: [13][5060/14090]	Time 0.770 (0.767)	Data 0.001 (0.002)	Loss 2.4088 (2.7746)	Prec@1 45.312 (33.989)	Prec@5 75.000 (64.262)
Epoch: [13][5070/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 2.6468 (2.7746)	Prec@1 35.156 (33.993)	Prec@5 62.500 (64.261)
Epoch: [13][5080/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 3.1543 (2.7748)	Prec@1 29.688 (33.990)	Prec@5 54.688 (64.258)
Epoch: [13][5090/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.8120 (2.7746)	Prec@1 30.469 (33.996)	Prec@5 63.281 (64.258)
Epoch: [13][5100/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 2.9408 (2.7745)	Prec@1 31.250 (33.993)	Prec@5 61.719 (64.259)
Epoch: [13][5110/14090]	Time 0.800 (0.767)	Data 0.001 (0.002)	Loss 2.6363 (2.7746)	Prec@1 29.688 (33.993)	Prec@5 69.531 (64.259)
Epoch: [13][5120/14090]	Time 0.843 (0.767)	Data 0.001 (0.002)	Loss 2.6372 (2.7746)	Prec@1 35.156 (33.993)	Prec@5 70.312 (64.257)
Epoch: [13][5130/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 2.9851 (2.7748)	Prec@1 29.688 (33.990)	Prec@5 61.719 (64.252)
Epoch: [13][5140/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 2.5468 (2.7748)	Prec@1 37.500 (33.991)	Prec@5 65.625 (64.255)
Epoch: [13][5150/14090]	Time 0.725 (0.767)	Data 0.001 (0.002)	Loss 2.2874 (2.7745)	Prec@1 43.750 (33.996)	Prec@5 71.094 (64.261)
Epoch: [13][5160/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 2.6592 (2.7745)	Prec@1 35.938 (33.992)	Prec@5 65.625 (64.259)
Epoch: [13][5170/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 2.8450 (2.7745)	Prec@1 37.500 (33.995)	Prec@5 60.156 (64.258)
Epoch: [13][5180/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 2.6471 (2.7743)	Prec@1 34.375 (34.001)	Prec@5 68.750 (64.266)
Epoch: [13][5190/14090]	Time 0.896 (0.767)	Data 0.001 (0.002)	Loss 2.5697 (2.7742)	Prec@1 33.594 (33.998)	Prec@5 67.969 (64.268)
Epoch: [13][5200/14090]	Time 0.726 (0.767)	Data 0.001 (0.002)	Loss 2.8256 (2.7742)	Prec@1 32.812 (34.002)	Prec@5 64.062 (64.269)
Epoch: [13][5210/14090]	Time 0.779 (0.767)	Data 0.001 (0.002)	Loss 2.7975 (2.7740)	Prec@1 32.812 (34.005)	Prec@5 61.719 (64.270)
Epoch: [13][5220/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 2.7409 (2.7739)	Prec@1 29.688 (34.008)	Prec@5 61.719 (64.273)
Epoch: [13][5230/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 2.7905 (2.7739)	Prec@1 32.812 (34.007)	Prec@5 64.062 (64.270)
Epoch: [13][5240/14090]	Time 0.767 (0.767)	Data 0.001 (0.002)	Loss 2.6103 (2.7739)	Prec@1 36.719 (34.007)	Prec@5 66.406 (64.270)
Epoch: [13][5250/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 2.6510 (2.7740)	Prec@1 31.250 (34.004)	Prec@5 70.312 (64.268)
Epoch: [13][5260/14090]	Time 0.876 (0.767)	Data 0.001 (0.002)	Loss 2.4511 (2.7740)	Prec@1 45.312 (34.003)	Prec@5 70.312 (64.270)
Epoch: [13][5270/14090]	Time 0.724 (0.767)	Data 0.001 (0.002)	Loss 2.7010 (2.7741)	Prec@1 35.156 (34.004)	Prec@5 67.188 (64.269)
Epoch: [13][5280/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 2.6517 (2.7741)	Prec@1 30.469 (34.001)	Prec@5 67.969 (64.267)
Epoch: [13][5290/14090]	Time 0.728 (0.767)	Data 0.001 (0.002)	Loss 2.7951 (2.7740)	Prec@1 34.375 (34.003)	Prec@5 62.500 (64.268)
Epoch: [13][5300/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 2.7675 (2.7740)	Prec@1 33.594 (34.000)	Prec@5 64.844 (64.267)
Epoch: [13][5310/14090]	Time 0.731 (0.767)	Data 0.001 (0.002)	Loss 2.6001 (2.7738)	Prec@1 39.062 (33.998)	Prec@5 65.625 (64.269)
Epoch: [13][5320/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 2.9422 (2.7739)	Prec@1 32.812 (33.997)	Prec@5 64.062 (64.269)
Epoch: [13][5330/14090]	Time 0.866 (0.767)	Data 0.001 (0.002)	Loss 2.9029 (2.7740)	Prec@1 34.375 (33.995)	Prec@5 59.375 (64.268)
Epoch: [13][5340/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 2.8936 (2.7741)	Prec@1 28.906 (33.991)	Prec@5 67.969 (64.267)
Epoch: [13][5350/14090]	Time 0.781 (0.767)	Data 0.001 (0.002)	Loss 3.1181 (2.7742)	Prec@1 32.812 (33.988)	Prec@5 60.938 (64.268)
Epoch: [13][5360/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 2.8845 (2.7743)	Prec@1 33.594 (33.986)	Prec@5 62.500 (64.267)
Epoch: [13][5370/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 3.0231 (2.7743)	Prec@1 32.031 (33.988)	Prec@5 61.719 (64.266)
Epoch: [13][5380/14090]	Time 0.728 (0.767)	Data 0.001 (0.002)	Loss 2.7629 (2.7743)	Prec@1 26.562 (33.986)	Prec@5 64.844 (64.266)
Epoch: [13][5390/14090]	Time 0.754 (0.767)	Data 0.002 (0.002)	Loss 3.0662 (2.7744)	Prec@1 25.781 (33.985)	Prec@5 61.719 (64.266)
Epoch: [13][5400/14090]	Time 0.857 (0.767)	Data 0.001 (0.002)	Loss 2.8135 (2.7745)	Prec@1 34.375 (33.983)	Prec@5 60.938 (64.266)
Epoch: [13][5410/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.7116 (2.7746)	Prec@1 30.469 (33.980)	Prec@5 64.844 (64.265)
Epoch: [13][5420/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.9028 (2.7746)	Prec@1 32.031 (33.982)	Prec@5 62.500 (64.265)
Epoch: [13][5430/14090]	Time 0.778 (0.767)	Data 0.001 (0.002)	Loss 3.0574 (2.7745)	Prec@1 30.469 (33.986)	Prec@5 58.594 (64.265)
Epoch: [13][5440/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 2.8401 (2.7745)	Prec@1 32.812 (33.984)	Prec@5 60.938 (64.264)
Epoch: [13][5450/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 2.5144 (2.7743)	Prec@1 40.625 (33.989)	Prec@5 71.875 (64.270)
Epoch: [13][5460/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 2.7894 (2.7743)	Prec@1 30.469 (33.989)	Prec@5 64.062 (64.271)
Epoch: [13][5470/14090]	Time 0.841 (0.767)	Data 0.001 (0.002)	Loss 2.7025 (2.7741)	Prec@1 36.719 (33.993)	Prec@5 66.406 (64.274)
Epoch: [13][5480/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 2.8658 (2.7740)	Prec@1 32.812 (33.993)	Prec@5 64.844 (64.278)
Epoch: [13][5490/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 3.0301 (2.7742)	Prec@1 26.562 (33.990)	Prec@5 58.594 (64.275)
Epoch: [13][5500/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 2.7950 (2.7742)	Prec@1 32.812 (33.990)	Prec@5 63.281 (64.273)
Epoch: [13][5510/14090]	Time 0.727 (0.767)	Data 0.001 (0.002)	Loss 2.5125 (2.7740)	Prec@1 36.719 (33.992)	Prec@5 68.750 (64.276)
Epoch: [13][5520/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 2.6099 (2.7740)	Prec@1 33.594 (33.990)	Prec@5 64.062 (64.276)
Epoch: [13][5530/14090]	Time 0.772 (0.767)	Data 0.001 (0.002)	Loss 2.8312 (2.7740)	Prec@1 30.469 (33.988)	Prec@5 64.844 (64.274)
Epoch: [13][5540/14090]	Time 0.836 (0.767)	Data 0.001 (0.002)	Loss 2.5846 (2.7740)	Prec@1 35.938 (33.991)	Prec@5 67.188 (64.274)
Epoch: [13][5550/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 2.9571 (2.7741)	Prec@1 31.250 (33.989)	Prec@5 60.156 (64.273)
Epoch: [13][5560/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 2.7192 (2.7741)	Prec@1 29.688 (33.990)	Prec@5 67.188 (64.276)
Epoch: [13][5570/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 2.7508 (2.7739)	Prec@1 34.375 (33.991)	Prec@5 63.281 (64.282)
Epoch: [13][5580/14090]	Time 0.772 (0.767)	Data 0.001 (0.002)	Loss 2.9024 (2.7738)	Prec@1 35.938 (33.993)	Prec@5 63.281 (64.282)
Epoch: [13][5590/14090]	Time 0.724 (0.767)	Data 0.001 (0.002)	Loss 2.8694 (2.7738)	Prec@1 34.375 (33.993)	Prec@5 60.938 (64.284)
Epoch: [13][5600/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 2.5311 (2.7737)	Prec@1 36.719 (33.993)	Prec@5 71.094 (64.285)
Epoch: [13][5610/14090]	Time 0.846 (0.767)	Data 0.001 (0.002)	Loss 2.8387 (2.7737)	Prec@1 32.812 (33.993)	Prec@5 65.625 (64.285)
Epoch: [13][5620/14090]	Time 0.765 (0.767)	Data 0.001 (0.002)	Loss 2.7397 (2.7737)	Prec@1 34.375 (33.994)	Prec@5 65.625 (64.283)
Epoch: [13][5630/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 2.6787 (2.7737)	Prec@1 32.812 (33.993)	Prec@5 64.844 (64.281)
Epoch: [13][5640/14090]	Time 0.724 (0.767)	Data 0.001 (0.002)	Loss 2.6434 (2.7737)	Prec@1 39.062 (33.993)	Prec@5 71.094 (64.283)
Epoch: [13][5650/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 2.5514 (2.7737)	Prec@1 38.281 (33.993)	Prec@5 73.438 (64.285)
Epoch: [13][5660/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 2.7567 (2.7736)	Prec@1 33.594 (33.997)	Prec@5 66.406 (64.290)
Epoch: [13][5670/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 2.8598 (2.7737)	Prec@1 30.469 (33.995)	Prec@5 59.375 (64.286)
Epoch: [13][5680/14090]	Time 0.834 (0.767)	Data 0.001 (0.002)	Loss 2.7917 (2.7738)	Prec@1 35.938 (33.993)	Prec@5 63.281 (64.283)
Epoch: [13][5690/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 2.6695 (2.7738)	Prec@1 39.062 (33.995)	Prec@5 68.750 (64.285)
Epoch: [13][5700/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 2.9230 (2.7738)	Prec@1 34.375 (33.995)	Prec@5 63.281 (64.283)
Epoch: [13][5710/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 2.7803 (2.7739)	Prec@1 32.031 (33.993)	Prec@5 64.844 (64.282)
Epoch: [13][5720/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.8766 (2.7738)	Prec@1 30.469 (33.991)	Prec@5 63.281 (64.284)
Epoch: [13][5730/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 2.4025 (2.7737)	Prec@1 37.500 (33.994)	Prec@5 67.969 (64.286)
Epoch: [13][5740/14090]	Time 0.731 (0.767)	Data 0.001 (0.002)	Loss 2.7359 (2.7736)	Prec@1 35.156 (33.996)	Prec@5 67.188 (64.290)
Epoch: [13][5750/14090]	Time 0.880 (0.767)	Data 0.001 (0.002)	Loss 2.8634 (2.7737)	Prec@1 30.469 (33.992)	Prec@5 62.500 (64.287)
Epoch: [13][5760/14090]	Time 0.724 (0.767)	Data 0.001 (0.002)	Loss 2.7003 (2.7737)	Prec@1 40.625 (33.996)	Prec@5 67.188 (64.290)
Epoch: [13][5770/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 2.9032 (2.7738)	Prec@1 30.469 (33.993)	Prec@5 56.250 (64.287)
Epoch: [13][5780/14090]	Time 0.765 (0.767)	Data 0.001 (0.002)	Loss 2.5782 (2.7738)	Prec@1 33.594 (33.990)	Prec@5 66.406 (64.287)
Epoch: [13][5790/14090]	Time 0.768 (0.767)	Data 0.001 (0.002)	Loss 2.7848 (2.7739)	Prec@1 37.500 (33.988)	Prec@5 62.500 (64.285)
Epoch: [13][5800/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 2.6150 (2.7740)	Prec@1 32.812 (33.986)	Prec@5 66.406 (64.284)
Epoch: [13][5810/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 2.8296 (2.7742)	Prec@1 32.031 (33.984)	Prec@5 64.062 (64.282)
Epoch: [13][5820/14090]	Time 0.864 (0.767)	Data 0.001 (0.002)	Loss 2.7403 (2.7741)	Prec@1 33.594 (33.988)	Prec@5 62.500 (64.279)
Epoch: [13][5830/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 2.7963 (2.7741)	Prec@1 32.812 (33.987)	Prec@5 58.594 (64.278)
Epoch: [13][5840/14090]	Time 0.723 (0.767)	Data 0.001 (0.002)	Loss 2.5437 (2.7740)	Prec@1 42.188 (33.988)	Prec@5 70.312 (64.281)
Epoch: [13][5850/14090]	Time 0.785 (0.767)	Data 0.001 (0.002)	Loss 2.5831 (2.7741)	Prec@1 35.156 (33.986)	Prec@5 68.750 (64.280)
Epoch: [13][5860/14090]	Time 0.778 (0.767)	Data 0.001 (0.002)	Loss 2.5783 (2.7741)	Prec@1 35.938 (33.986)	Prec@5 66.406 (64.281)
Epoch: [13][5870/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 2.8908 (2.7739)	Prec@1 31.250 (33.986)	Prec@5 61.719 (64.286)
Epoch: [13][5880/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 2.6792 (2.7740)	Prec@1 32.031 (33.984)	Prec@5 64.062 (64.283)
Epoch: [13][5890/14090]	Time 0.866 (0.767)	Data 0.001 (0.002)	Loss 2.7704 (2.7740)	Prec@1 27.344 (33.980)	Prec@5 65.625 (64.283)
Epoch: [13][5900/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 3.0414 (2.7740)	Prec@1 32.031 (33.981)	Prec@5 58.594 (64.285)
Epoch: [13][5910/14090]	Time 0.766 (0.767)	Data 0.001 (0.001)	Loss 2.7901 (2.7740)	Prec@1 34.375 (33.977)	Prec@5 64.062 (64.287)
Epoch: [13][5920/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 2.5853 (2.7740)	Prec@1 37.500 (33.974)	Prec@5 68.750 (64.287)
Epoch: [13][5930/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 2.7032 (2.7741)	Prec@1 33.594 (33.974)	Prec@5 62.500 (64.285)
Epoch: [13][5940/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 2.7172 (2.7741)	Prec@1 36.719 (33.975)	Prec@5 64.844 (64.284)
Epoch: [13][5950/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 2.5522 (2.7740)	Prec@1 34.375 (33.974)	Prec@5 73.438 (64.287)
Epoch: [13][5960/14090]	Time 0.860 (0.767)	Data 0.001 (0.001)	Loss 2.8856 (2.7739)	Prec@1 30.469 (33.975)	Prec@5 60.938 (64.287)
Epoch: [13][5970/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 2.7860 (2.7738)	Prec@1 31.250 (33.974)	Prec@5 67.188 (64.288)
Epoch: [13][5980/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 3.0538 (2.7740)	Prec@1 28.906 (33.972)	Prec@5 57.031 (64.285)
Epoch: [13][5990/14090]	Time 0.770 (0.767)	Data 0.001 (0.001)	Loss 2.6686 (2.7739)	Prec@1 33.594 (33.969)	Prec@5 67.188 (64.287)
Epoch: [13][6000/14090]	Time 0.764 (0.767)	Data 0.001 (0.001)	Loss 2.8193 (2.7739)	Prec@1 33.594 (33.967)	Prec@5 65.625 (64.288)
Epoch: [13][6010/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 2.7354 (2.7740)	Prec@1 40.625 (33.968)	Prec@5 64.062 (64.288)
Epoch: [13][6020/14090]	Time 0.770 (0.767)	Data 0.001 (0.001)	Loss 3.1232 (2.7739)	Prec@1 29.688 (33.972)	Prec@5 59.375 (64.290)
Epoch: [13][6030/14090]	Time 0.869 (0.767)	Data 0.001 (0.001)	Loss 2.6382 (2.7740)	Prec@1 32.812 (33.971)	Prec@5 67.188 (64.286)
Epoch: [13][6040/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 2.6696 (2.7739)	Prec@1 34.375 (33.971)	Prec@5 70.312 (64.287)
Epoch: [13][6050/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 2.8790 (2.7737)	Prec@1 25.781 (33.969)	Prec@5 60.938 (64.289)
Epoch: [13][6060/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 2.8376 (2.7738)	Prec@1 35.938 (33.970)	Prec@5 67.969 (64.287)
Epoch: [13][6070/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 2.5482 (2.7739)	Prec@1 41.406 (33.967)	Prec@5 68.750 (64.287)
Epoch: [13][6080/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.6097 (2.7739)	Prec@1 39.062 (33.968)	Prec@5 64.844 (64.286)
Epoch: [13][6090/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 2.5430 (2.7740)	Prec@1 39.062 (33.967)	Prec@5 72.656 (64.286)
Epoch: [13][6100/14090]	Time 0.815 (0.767)	Data 0.001 (0.001)	Loss 2.8348 (2.7739)	Prec@1 35.156 (33.968)	Prec@5 66.406 (64.291)
Epoch: [13][6110/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 2.5828 (2.7737)	Prec@1 30.469 (33.972)	Prec@5 67.969 (64.295)
Epoch: [13][6120/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.6067 (2.7736)	Prec@1 42.188 (33.976)	Prec@5 71.094 (64.298)
Epoch: [13][6130/14090]	Time 0.771 (0.767)	Data 0.001 (0.001)	Loss 2.5703 (2.7735)	Prec@1 35.156 (33.975)	Prec@5 71.094 (64.297)
Epoch: [13][6140/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 2.6508 (2.7733)	Prec@1 39.844 (33.977)	Prec@5 65.625 (64.300)
Epoch: [13][6150/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 2.5124 (2.7733)	Prec@1 39.844 (33.981)	Prec@5 67.969 (64.299)
Epoch: [13][6160/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 2.4426 (2.7734)	Prec@1 35.938 (33.979)	Prec@5 75.781 (64.300)
Epoch: [13][6170/14090]	Time 0.849 (0.767)	Data 0.003 (0.001)	Loss 2.8392 (2.7735)	Prec@1 30.469 (33.976)	Prec@5 64.844 (64.300)
Epoch: [13][6180/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 2.8546 (2.7736)	Prec@1 35.156 (33.972)	Prec@5 65.625 (64.299)
Epoch: [13][6190/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 2.3978 (2.7736)	Prec@1 38.281 (33.970)	Prec@5 72.656 (64.299)
Epoch: [13][6200/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 2.6792 (2.7736)	Prec@1 37.500 (33.973)	Prec@5 67.188 (64.299)
Epoch: [13][6210/14090]	Time 0.779 (0.767)	Data 0.001 (0.001)	Loss 2.8632 (2.7735)	Prec@1 34.375 (33.973)	Prec@5 62.500 (64.300)
Epoch: [13][6220/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 3.0114 (2.7736)	Prec@1 38.281 (33.974)	Prec@5 63.281 (64.299)
Epoch: [13][6230/14090]	Time 0.783 (0.767)	Data 0.001 (0.001)	Loss 2.7445 (2.7737)	Prec@1 36.719 (33.973)	Prec@5 66.406 (64.298)
Epoch: [13][6240/14090]	Time 0.869 (0.767)	Data 0.001 (0.001)	Loss 2.5702 (2.7736)	Prec@1 38.281 (33.975)	Prec@5 70.312 (64.298)
Epoch: [13][6250/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 2.5259 (2.7738)	Prec@1 41.406 (33.974)	Prec@5 71.094 (64.297)
Epoch: [13][6260/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 2.8797 (2.7739)	Prec@1 29.688 (33.973)	Prec@5 60.938 (64.293)
Epoch: [13][6270/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 2.7409 (2.7739)	Prec@1 38.281 (33.976)	Prec@5 65.625 (64.294)
Epoch: [13][6280/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 2.8834 (2.7739)	Prec@1 35.156 (33.975)	Prec@5 59.375 (64.291)
Epoch: [13][6290/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 3.0653 (2.7740)	Prec@1 28.906 (33.975)	Prec@5 58.594 (64.291)
Epoch: [13][6300/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 2.7555 (2.7739)	Prec@1 32.812 (33.974)	Prec@5 66.406 (64.290)
Epoch: [13][6310/14090]	Time 0.867 (0.767)	Data 0.001 (0.001)	Loss 2.7082 (2.7739)	Prec@1 34.375 (33.974)	Prec@5 66.406 (64.292)
Epoch: [13][6320/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 2.5796 (2.7738)	Prec@1 34.375 (33.976)	Prec@5 67.969 (64.292)
Epoch: [13][6330/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 2.7437 (2.7738)	Prec@1 37.500 (33.977)	Prec@5 64.844 (64.295)
Epoch: [13][6340/14090]	Time 0.776 (0.767)	Data 0.001 (0.001)	Loss 2.8611 (2.7738)	Prec@1 27.344 (33.976)	Prec@5 62.500 (64.296)
Epoch: [13][6350/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 2.8066 (2.7737)	Prec@1 40.625 (33.979)	Prec@5 62.500 (64.296)
Epoch: [13][6360/14090]	Time 0.727 (0.767)	Data 0.001 (0.001)	Loss 2.7970 (2.7737)	Prec@1 31.250 (33.979)	Prec@5 61.719 (64.296)
Epoch: [13][6370/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 2.9367 (2.7735)	Prec@1 28.906 (33.978)	Prec@5 58.594 (64.298)
Epoch: [13][6380/14090]	Time 0.868 (0.767)	Data 0.001 (0.001)	Loss 2.6619 (2.7735)	Prec@1 32.812 (33.976)	Prec@5 62.500 (64.300)
Epoch: [13][6390/14090]	Time 0.806 (0.767)	Data 0.001 (0.001)	Loss 2.4827 (2.7733)	Prec@1 35.156 (33.976)	Prec@5 71.094 (64.300)
Epoch: [13][6400/14090]	Time 0.727 (0.767)	Data 0.001 (0.001)	Loss 2.7538 (2.7734)	Prec@1 34.375 (33.974)	Prec@5 64.844 (64.297)
Epoch: [13][6410/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 2.8294 (2.7733)	Prec@1 28.125 (33.974)	Prec@5 64.062 (64.298)
Epoch: [13][6420/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 2.8087 (2.7734)	Prec@1 34.375 (33.975)	Prec@5 64.844 (64.298)
Epoch: [13][6430/14090]	Time 0.763 (0.767)	Data 0.001 (0.001)	Loss 2.7243 (2.7734)	Prec@1 32.031 (33.973)	Prec@5 65.625 (64.296)
Epoch: [13][6440/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 2.8349 (2.7734)	Prec@1 31.250 (33.976)	Prec@5 64.844 (64.297)
Epoch: [13][6450/14090]	Time 0.872 (0.767)	Data 0.001 (0.001)	Loss 2.5541 (2.7734)	Prec@1 41.406 (33.976)	Prec@5 66.406 (64.296)
Epoch: [13][6460/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 2.7891 (2.7736)	Prec@1 35.156 (33.972)	Prec@5 63.281 (64.293)
Epoch: [13][6470/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 2.5317 (2.7735)	Prec@1 36.719 (33.972)	Prec@5 68.750 (64.294)
Epoch: [13][6480/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 2.8647 (2.7735)	Prec@1 36.719 (33.973)	Prec@5 64.844 (64.295)
Epoch: [13][6490/14090]	Time 0.782 (0.767)	Data 0.001 (0.001)	Loss 3.0206 (2.7735)	Prec@1 32.031 (33.975)	Prec@5 60.156 (64.293)
Epoch: [13][6500/14090]	Time 0.759 (0.767)	Data 0.000 (0.001)	Loss 2.7679 (2.7735)	Prec@1 42.188 (33.974)	Prec@5 61.719 (64.292)
Epoch: [13][6510/14090]	Time 0.778 (0.767)	Data 0.001 (0.001)	Loss 2.4718 (2.7735)	Prec@1 37.500 (33.975)	Prec@5 71.875 (64.291)
Epoch: [13][6520/14090]	Time 0.825 (0.767)	Data 0.001 (0.001)	Loss 2.6958 (2.7735)	Prec@1 31.250 (33.975)	Prec@5 65.625 (64.291)
Epoch: [13][6530/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 2.7214 (2.7734)	Prec@1 35.156 (33.977)	Prec@5 64.062 (64.293)
Epoch: [13][6540/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 2.6585 (2.7734)	Prec@1 39.844 (33.977)	Prec@5 64.844 (64.293)
Epoch: [13][6550/14090]	Time 0.725 (0.767)	Data 0.001 (0.001)	Loss 2.7761 (2.7733)	Prec@1 31.250 (33.978)	Prec@5 60.938 (64.293)
Epoch: [13][6560/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 3.0720 (2.7733)	Prec@1 27.344 (33.977)	Prec@5 61.719 (64.297)
Epoch: [13][6570/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 2.5093 (2.7732)	Prec@1 42.188 (33.981)	Prec@5 70.312 (64.298)
Epoch: [13][6580/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 3.0691 (2.7733)	Prec@1 27.344 (33.984)	Prec@5 57.031 (64.294)
Epoch: [13][6590/14090]	Time 0.847 (0.767)	Data 0.001 (0.001)	Loss 3.0567 (2.7732)	Prec@1 27.344 (33.983)	Prec@5 60.156 (64.294)
Epoch: [13][6600/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 2.6299 (2.7732)	Prec@1 34.375 (33.983)	Prec@5 68.750 (64.295)
Epoch: [13][6610/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.8220 (2.7732)	Prec@1 36.719 (33.981)	Prec@5 58.594 (64.294)
Epoch: [13][6620/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.8215 (2.7733)	Prec@1 29.688 (33.978)	Prec@5 62.500 (64.294)
Epoch: [13][6630/14090]	Time 0.767 (0.766)	Data 0.001 (0.001)	Loss 2.8688 (2.7733)	Prec@1 35.938 (33.979)	Prec@5 61.719 (64.292)
Epoch: [13][6640/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.8968 (2.7734)	Prec@1 32.031 (33.976)	Prec@5 65.625 (64.289)
Epoch: [13][6650/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.8935 (2.7734)	Prec@1 31.250 (33.974)	Prec@5 57.812 (64.288)
Epoch: [13][6660/14090]	Time 0.832 (0.766)	Data 0.001 (0.001)	Loss 2.4912 (2.7733)	Prec@1 36.719 (33.975)	Prec@5 71.875 (64.293)
Epoch: [13][6670/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.7447 (2.7731)	Prec@1 36.719 (33.979)	Prec@5 64.062 (64.297)
Epoch: [13][6680/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.4392 (2.7731)	Prec@1 42.188 (33.978)	Prec@5 74.219 (64.299)
Epoch: [13][6690/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 2.8532 (2.7732)	Prec@1 29.688 (33.977)	Prec@5 60.938 (64.297)
Epoch: [13][6700/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.7651 (2.7731)	Prec@1 35.156 (33.979)	Prec@5 66.406 (64.299)
Epoch: [13][6710/14090]	Time 0.781 (0.766)	Data 0.001 (0.001)	Loss 2.8184 (2.7730)	Prec@1 35.156 (33.985)	Prec@5 64.062 (64.303)
Epoch: [13][6720/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.6403 (2.7729)	Prec@1 37.500 (33.985)	Prec@5 68.750 (64.304)
Epoch: [13][6730/14090]	Time 0.869 (0.766)	Data 0.001 (0.001)	Loss 2.9374 (2.7729)	Prec@1 28.125 (33.986)	Prec@5 60.156 (64.304)
Epoch: [13][6740/14090]	Time 0.769 (0.766)	Data 0.001 (0.001)	Loss 2.9100 (2.7729)	Prec@1 30.469 (33.986)	Prec@5 57.031 (64.302)
Epoch: [13][6750/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.6562 (2.7728)	Prec@1 34.375 (33.987)	Prec@5 69.531 (64.303)
Epoch: [13][6760/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.5854 (2.7728)	Prec@1 32.812 (33.985)	Prec@5 70.312 (64.302)
Epoch: [13][6770/14090]	Time 0.768 (0.766)	Data 0.001 (0.001)	Loss 2.8316 (2.7728)	Prec@1 30.469 (33.983)	Prec@5 62.500 (64.303)
Epoch: [13][6780/14090]	Time 0.784 (0.766)	Data 0.001 (0.001)	Loss 2.6051 (2.7726)	Prec@1 41.406 (33.988)	Prec@5 64.844 (64.306)
Epoch: [13][6790/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.7544 (2.7727)	Prec@1 33.594 (33.987)	Prec@5 62.500 (64.303)
Epoch: [13][6800/14090]	Time 0.848 (0.766)	Data 0.001 (0.001)	Loss 2.9836 (2.7728)	Prec@1 28.125 (33.983)	Prec@5 58.594 (64.301)
Epoch: [13][6810/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.6706 (2.7728)	Prec@1 33.594 (33.982)	Prec@5 67.188 (64.298)
Epoch: [13][6820/14090]	Time 0.770 (0.766)	Data 0.001 (0.001)	Loss 2.6327 (2.7729)	Prec@1 32.812 (33.978)	Prec@5 68.750 (64.296)
Epoch: [13][6830/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.8480 (2.7730)	Prec@1 28.906 (33.974)	Prec@5 55.469 (64.293)
Epoch: [13][6840/14090]	Time 0.793 (0.766)	Data 0.001 (0.001)	Loss 2.7403 (2.7729)	Prec@1 35.156 (33.976)	Prec@5 64.844 (64.295)
Epoch: [13][6850/14090]	Time 0.740 (0.766)	Data 0.000 (0.001)	Loss 2.7911 (2.7729)	Prec@1 29.688 (33.975)	Prec@5 62.500 (64.293)
Epoch: [13][6860/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.9880 (2.7727)	Prec@1 34.375 (33.982)	Prec@5 60.938 (64.299)
Epoch: [13][6870/14090]	Time 0.854 (0.766)	Data 0.001 (0.001)	Loss 2.7260 (2.7727)	Prec@1 34.375 (33.983)	Prec@5 65.625 (64.300)
Epoch: [13][6880/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.7797 (2.7728)	Prec@1 31.250 (33.982)	Prec@5 64.062 (64.298)
Epoch: [13][6890/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 3.1112 (2.7729)	Prec@1 25.781 (33.976)	Prec@5 57.812 (64.297)
Epoch: [13][6900/14090]	Time 0.765 (0.766)	Data 0.001 (0.001)	Loss 2.5915 (2.7728)	Prec@1 38.281 (33.977)	Prec@5 69.531 (64.299)
Epoch: [13][6910/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.7327 (2.7728)	Prec@1 35.156 (33.975)	Prec@5 68.750 (64.300)
Epoch: [13][6920/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.4019 (2.7727)	Prec@1 39.062 (33.979)	Prec@5 76.562 (64.301)
Epoch: [13][6930/14090]	Time 0.752 (0.766)	Data 0.005 (0.001)	Loss 2.9029 (2.7728)	Prec@1 32.812 (33.978)	Prec@5 66.406 (64.301)
Epoch: [13][6940/14090]	Time 0.906 (0.766)	Data 0.001 (0.001)	Loss 2.8406 (2.7727)	Prec@1 36.719 (33.980)	Prec@5 60.938 (64.302)
Epoch: [13][6950/14090]	Time 0.724 (0.766)	Data 0.001 (0.001)	Loss 2.7089 (2.7727)	Prec@1 28.125 (33.978)	Prec@5 65.625 (64.299)
Epoch: [13][6960/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.6558 (2.7727)	Prec@1 35.938 (33.978)	Prec@5 67.969 (64.300)
Epoch: [13][6970/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.7867 (2.7729)	Prec@1 34.375 (33.978)	Prec@5 62.500 (64.298)
Epoch: [13][6980/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 3.0691 (2.7730)	Prec@1 29.688 (33.977)	Prec@5 55.469 (64.293)
Epoch: [13][6990/14090]	Time 0.754 (0.766)	Data 0.002 (0.001)	Loss 2.8185 (2.7730)	Prec@1 28.125 (33.976)	Prec@5 64.062 (64.294)
Epoch: [13][7000/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 3.0405 (2.7731)	Prec@1 30.469 (33.976)	Prec@5 57.812 (64.294)
Epoch: [13][7010/14090]	Time 0.841 (0.766)	Data 0.001 (0.001)	Loss 2.5845 (2.7730)	Prec@1 41.406 (33.979)	Prec@5 67.188 (64.296)
Epoch: [13][7020/14090]	Time 0.780 (0.766)	Data 0.001 (0.001)	Loss 2.6452 (2.7731)	Prec@1 34.375 (33.978)	Prec@5 70.312 (64.295)
Epoch: [13][7030/14090]	Time 0.791 (0.766)	Data 0.001 (0.001)	Loss 2.3432 (2.7730)	Prec@1 46.875 (33.980)	Prec@5 78.125 (64.298)
Epoch: [13][7040/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.7547 (2.7728)	Prec@1 36.719 (33.982)	Prec@5 63.281 (64.304)
Epoch: [13][7050/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.5170 (2.7728)	Prec@1 32.812 (33.980)	Prec@5 66.406 (64.302)
Epoch: [13][7060/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.5342 (2.7725)	Prec@1 38.281 (33.987)	Prec@5 64.844 (64.306)
Epoch: [13][7070/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.6218 (2.7725)	Prec@1 32.812 (33.985)	Prec@5 68.750 (64.306)
Epoch: [13][7080/14090]	Time 0.865 (0.766)	Data 0.001 (0.001)	Loss 2.8325 (2.7723)	Prec@1 32.812 (33.986)	Prec@5 61.719 (64.309)
Epoch: [13][7090/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.5181 (2.7722)	Prec@1 39.844 (33.987)	Prec@5 67.969 (64.311)
Epoch: [13][7100/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 2.8339 (2.7723)	Prec@1 34.375 (33.987)	Prec@5 62.500 (64.311)
Epoch: [13][7110/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 2.7739 (2.7723)	Prec@1 42.969 (33.987)	Prec@5 66.406 (64.309)
Epoch: [13][7120/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.7916 (2.7723)	Prec@1 38.281 (33.987)	Prec@5 62.500 (64.308)
Epoch: [13][7130/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.7698 (2.7724)	Prec@1 37.500 (33.986)	Prec@5 62.500 (64.305)
Epoch: [13][7140/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.6660 (2.7724)	Prec@1 35.156 (33.987)	Prec@5 69.531 (64.304)
Epoch: [13][7150/14090]	Time 0.880 (0.766)	Data 0.001 (0.001)	Loss 2.7503 (2.7724)	Prec@1 35.938 (33.987)	Prec@5 63.281 (64.303)
Epoch: [13][7160/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 2.6711 (2.7725)	Prec@1 36.719 (33.987)	Prec@5 67.188 (64.300)
Epoch: [13][7170/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.6606 (2.7727)	Prec@1 30.469 (33.981)	Prec@5 66.406 (64.297)
Epoch: [13][7180/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.8140 (2.7727)	Prec@1 30.469 (33.981)	Prec@5 64.062 (64.296)
Epoch: [13][7190/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.6783 (2.7727)	Prec@1 33.594 (33.983)	Prec@5 64.062 (64.297)
Epoch: [13][7200/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 2.7218 (2.7726)	Prec@1 35.156 (33.982)	Prec@5 64.062 (64.297)
Epoch: [13][7210/14090]	Time 0.773 (0.766)	Data 0.001 (0.001)	Loss 2.7484 (2.7728)	Prec@1 32.812 (33.980)	Prec@5 67.969 (64.295)
Epoch: [13][7220/14090]	Time 0.810 (0.766)	Data 0.001 (0.001)	Loss 2.8513 (2.7728)	Prec@1 32.031 (33.981)	Prec@5 60.156 (64.294)
Epoch: [13][7230/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 2.9336 (2.7727)	Prec@1 35.156 (33.982)	Prec@5 57.031 (64.296)
Epoch: [13][7240/14090]	Time 0.778 (0.766)	Data 0.001 (0.001)	Loss 2.9530 (2.7728)	Prec@1 26.562 (33.980)	Prec@5 57.812 (64.294)
Epoch: [13][7250/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.8590 (2.7729)	Prec@1 32.812 (33.979)	Prec@5 63.281 (64.292)
Epoch: [13][7260/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 2.8779 (2.7728)	Prec@1 34.375 (33.983)	Prec@5 63.281 (64.294)
Epoch: [13][7270/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.6534 (2.7727)	Prec@1 35.938 (33.984)	Prec@5 64.062 (64.295)
Epoch: [13][7280/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.9965 (2.7728)	Prec@1 32.031 (33.984)	Prec@5 57.031 (64.294)
Epoch: [13][7290/14090]	Time 0.855 (0.766)	Data 0.001 (0.001)	Loss 2.9916 (2.7727)	Prec@1 21.875 (33.982)	Prec@5 58.594 (64.295)
Epoch: [13][7300/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.7196 (2.7728)	Prec@1 35.938 (33.982)	Prec@5 62.500 (64.293)
Epoch: [13][7310/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 2.7790 (2.7730)	Prec@1 36.719 (33.980)	Prec@5 64.844 (64.289)
Epoch: [13][7320/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.9470 (2.7730)	Prec@1 27.344 (33.978)	Prec@5 61.719 (64.288)
Epoch: [13][7330/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.6265 (2.7731)	Prec@1 34.375 (33.978)	Prec@5 67.969 (64.287)
Epoch: [13][7340/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.8362 (2.7730)	Prec@1 30.469 (33.979)	Prec@5 57.812 (64.289)
Epoch: [13][7350/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.6702 (2.7729)	Prec@1 32.812 (33.979)	Prec@5 68.750 (64.292)
Epoch: [13][7360/14090]	Time 0.850 (0.766)	Data 0.001 (0.001)	Loss 2.8539 (2.7731)	Prec@1 29.688 (33.977)	Prec@5 60.938 (64.290)
Epoch: [13][7370/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 3.1007 (2.7732)	Prec@1 31.250 (33.976)	Prec@5 59.375 (64.288)
Epoch: [13][7380/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.8188 (2.7732)	Prec@1 30.469 (33.976)	Prec@5 62.500 (64.288)
Epoch: [13][7390/14090]	Time 0.768 (0.766)	Data 0.001 (0.001)	Loss 2.6737 (2.7732)	Prec@1 34.375 (33.975)	Prec@5 63.281 (64.288)
Epoch: [13][7400/14090]	Time 0.775 (0.766)	Data 0.001 (0.001)	Loss 2.5750 (2.7733)	Prec@1 37.500 (33.973)	Prec@5 67.188 (64.287)
Epoch: [13][7410/14090]	Time 0.723 (0.766)	Data 0.001 (0.001)	Loss 2.7931 (2.7732)	Prec@1 32.812 (33.975)	Prec@5 63.281 (64.288)
Epoch: [13][7420/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.9087 (2.7733)	Prec@1 29.688 (33.974)	Prec@5 60.938 (64.286)
Epoch: [13][7430/14090]	Time 0.808 (0.766)	Data 0.001 (0.001)	Loss 2.6917 (2.7732)	Prec@1 37.500 (33.976)	Prec@5 66.406 (64.288)
Epoch: [13][7440/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.8586 (2.7732)	Prec@1 35.156 (33.976)	Prec@5 63.281 (64.288)
Epoch: [13][7450/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.6733 (2.7732)	Prec@1 34.375 (33.976)	Prec@5 67.969 (64.291)
Epoch: [13][7460/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.9482 (2.7733)	Prec@1 31.250 (33.974)	Prec@5 60.938 (64.289)
Epoch: [13][7470/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.6091 (2.7732)	Prec@1 42.188 (33.977)	Prec@5 64.844 (64.292)
Epoch: [13][7480/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.6707 (2.7732)	Prec@1 33.594 (33.974)	Prec@5 68.750 (64.294)
Epoch: [13][7490/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.9286 (2.7730)	Prec@1 30.469 (33.977)	Prec@5 61.719 (64.298)
Epoch: [13][7500/14090]	Time 0.829 (0.766)	Data 0.001 (0.001)	Loss 2.7150 (2.7731)	Prec@1 39.062 (33.976)	Prec@5 65.625 (64.296)
Epoch: [13][7510/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.8265 (2.7733)	Prec@1 32.812 (33.973)	Prec@5 63.281 (64.294)
Epoch: [13][7520/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.6220 (2.7732)	Prec@1 35.938 (33.973)	Prec@5 65.625 (64.294)
Epoch: [13][7530/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.9420 (2.7732)	Prec@1 28.125 (33.974)	Prec@5 64.062 (64.295)
Epoch: [13][7540/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.7922 (2.7731)	Prec@1 39.062 (33.975)	Prec@5 62.500 (64.297)
Epoch: [13][7550/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 2.8795 (2.7730)	Prec@1 28.125 (33.977)	Prec@5 57.812 (64.299)
Epoch: [13][7560/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.7400 (2.7729)	Prec@1 36.719 (33.979)	Prec@5 62.500 (64.302)
Epoch: [13][7570/14090]	Time 0.819 (0.766)	Data 0.001 (0.001)	Loss 2.3700 (2.7728)	Prec@1 43.750 (33.983)	Prec@5 73.438 (64.304)
Epoch: [13][7580/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.7114 (2.7728)	Prec@1 30.469 (33.982)	Prec@5 68.750 (64.304)
Epoch: [13][7590/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.8292 (2.7727)	Prec@1 30.469 (33.984)	Prec@5 64.844 (64.305)
Epoch: [13][7600/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.6587 (2.7727)	Prec@1 37.500 (33.983)	Prec@5 64.844 (64.305)
Epoch: [13][7610/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.6598 (2.7727)	Prec@1 37.500 (33.984)	Prec@5 66.406 (64.307)
Epoch: [13][7620/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 2.7003 (2.7725)	Prec@1 35.156 (33.986)	Prec@5 64.844 (64.310)
Epoch: [13][7630/14090]	Time 0.782 (0.766)	Data 0.001 (0.001)	Loss 2.4668 (2.7725)	Prec@1 36.719 (33.984)	Prec@5 64.062 (64.310)
Epoch: [13][7640/14090]	Time 0.824 (0.766)	Data 0.001 (0.001)	Loss 2.8192 (2.7726)	Prec@1 27.344 (33.982)	Prec@5 64.062 (64.309)
Epoch: [13][7650/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.8811 (2.7725)	Prec@1 32.031 (33.985)	Prec@5 63.281 (64.309)
Epoch: [13][7660/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.6687 (2.7725)	Prec@1 33.594 (33.983)	Prec@5 68.750 (64.309)
Epoch: [13][7670/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.7712 (2.7725)	Prec@1 37.500 (33.986)	Prec@5 65.625 (64.309)
Epoch: [13][7680/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.9372 (2.7726)	Prec@1 29.688 (33.984)	Prec@5 64.062 (64.308)
Epoch: [13][7690/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.7329 (2.7727)	Prec@1 31.250 (33.982)	Prec@5 67.969 (64.308)
Epoch: [13][7700/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 3.0294 (2.7727)	Prec@1 29.688 (33.981)	Prec@5 57.031 (64.305)
Epoch: [13][7710/14090]	Time 0.867 (0.766)	Data 0.001 (0.001)	Loss 2.7328 (2.7727)	Prec@1 35.156 (33.982)	Prec@5 70.312 (64.305)
Epoch: [13][7720/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.9195 (2.7725)	Prec@1 33.594 (33.986)	Prec@5 64.062 (64.309)
Epoch: [13][7730/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.5553 (2.7725)	Prec@1 39.062 (33.987)	Prec@5 71.875 (64.308)
Epoch: [13][7740/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.7776 (2.7725)	Prec@1 32.031 (33.986)	Prec@5 64.844 (64.307)
Epoch: [13][7750/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.8383 (2.7725)	Prec@1 28.906 (33.983)	Prec@5 64.062 (64.306)
Epoch: [13][7760/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.7687 (2.7725)	Prec@1 30.469 (33.983)	Prec@5 64.062 (64.306)
Epoch: [13][7770/14090]	Time 0.770 (0.766)	Data 0.001 (0.001)	Loss 2.7176 (2.7725)	Prec@1 36.719 (33.983)	Prec@5 64.844 (64.307)
Epoch: [13][7780/14090]	Time 0.820 (0.766)	Data 0.001 (0.001)	Loss 2.9793 (2.7725)	Prec@1 32.812 (33.983)	Prec@5 61.719 (64.309)
Epoch: [13][7790/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.5554 (2.7725)	Prec@1 38.281 (33.982)	Prec@5 69.531 (64.310)
Epoch: [13][7800/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.9178 (2.7725)	Prec@1 34.375 (33.981)	Prec@5 63.281 (64.310)
Epoch: [13][7810/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.6288 (2.7725)	Prec@1 34.375 (33.982)	Prec@5 65.625 (64.309)
Epoch: [13][7820/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.8572 (2.7725)	Prec@1 30.469 (33.983)	Prec@5 63.281 (64.311)
Epoch: [13][7830/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 3.0300 (2.7724)	Prec@1 27.344 (33.984)	Prec@5 59.375 (64.311)
Epoch: [13][7840/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 3.2833 (2.7726)	Prec@1 24.219 (33.980)	Prec@5 55.469 (64.306)
Epoch: [13][7850/14090]	Time 0.866 (0.766)	Data 0.001 (0.001)	Loss 2.6380 (2.7726)	Prec@1 39.062 (33.981)	Prec@5 65.625 (64.306)
Epoch: [13][7860/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.8075 (2.7726)	Prec@1 35.938 (33.979)	Prec@5 61.719 (64.304)
Epoch: [13][7870/14090]	Time 0.801 (0.766)	Data 0.001 (0.001)	Loss 2.8566 (2.7727)	Prec@1 30.469 (33.977)	Prec@5 60.156 (64.302)
Epoch: [13][7880/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.7448 (2.7727)	Prec@1 35.156 (33.977)	Prec@5 61.719 (64.302)
Epoch: [13][7890/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.6429 (2.7728)	Prec@1 41.406 (33.978)	Prec@5 62.500 (64.301)
Epoch: [13][7900/14090]	Time 0.773 (0.766)	Data 0.001 (0.001)	Loss 2.5840 (2.7728)	Prec@1 42.969 (33.979)	Prec@5 74.219 (64.300)
Epoch: [13][7910/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.8191 (2.7729)	Prec@1 33.594 (33.978)	Prec@5 64.844 (64.300)
Epoch: [13][7920/14090]	Time 0.837 (0.766)	Data 0.001 (0.001)	Loss 2.6437 (2.7729)	Prec@1 39.844 (33.977)	Prec@5 66.406 (64.298)
Epoch: [13][7930/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.8584 (2.7729)	Prec@1 35.156 (33.979)	Prec@5 58.594 (64.297)
Epoch: [13][7940/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 3.0817 (2.7731)	Prec@1 32.031 (33.977)	Prec@5 56.250 (64.293)
Epoch: [13][7950/14090]	Time 0.777 (0.766)	Data 0.001 (0.001)	Loss 2.3986 (2.7729)	Prec@1 43.750 (33.981)	Prec@5 71.094 (64.299)
Epoch: [13][7960/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 2.8299 (2.7730)	Prec@1 23.438 (33.974)	Prec@5 61.719 (64.296)
Epoch: [13][7970/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.8818 (2.7729)	Prec@1 32.812 (33.978)	Prec@5 60.156 (64.298)
Epoch: [13][7980/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.9122 (2.7730)	Prec@1 28.125 (33.975)	Prec@5 60.938 (64.296)
Epoch: [13][7990/14090]	Time 0.849 (0.766)	Data 0.001 (0.001)	Loss 2.7289 (2.7731)	Prec@1 31.250 (33.972)	Prec@5 64.062 (64.295)
Epoch: [13][8000/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.8932 (2.7731)	Prec@1 33.594 (33.972)	Prec@5 60.938 (64.293)
Epoch: [13][8010/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 3.1455 (2.7732)	Prec@1 28.125 (33.970)	Prec@5 51.562 (64.293)
Epoch: [13][8020/14090]	Time 0.772 (0.766)	Data 0.001 (0.001)	Loss 2.5052 (2.7734)	Prec@1 39.062 (33.967)	Prec@5 71.094 (64.290)
Epoch: [13][8030/14090]	Time 0.767 (0.766)	Data 0.001 (0.001)	Loss 2.9353 (2.7735)	Prec@1 34.375 (33.965)	Prec@5 58.594 (64.290)
Epoch: [13][8040/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.6804 (2.7735)	Prec@1 36.719 (33.965)	Prec@5 64.844 (64.291)
Epoch: [13][8050/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.9604 (2.7736)	Prec@1 28.125 (33.962)	Prec@5 64.062 (64.291)
Epoch: [13][8060/14090]	Time 0.860 (0.766)	Data 0.001 (0.001)	Loss 2.7322 (2.7737)	Prec@1 33.594 (33.961)	Prec@5 60.938 (64.288)
Epoch: [13][8070/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.6918 (2.7735)	Prec@1 34.375 (33.965)	Prec@5 71.094 (64.289)
Epoch: [13][8080/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.6517 (2.7736)	Prec@1 40.625 (33.968)	Prec@5 65.625 (64.289)
Epoch: [13][8090/14090]	Time 0.786 (0.766)	Data 0.001 (0.001)	Loss 2.6009 (2.7735)	Prec@1 33.594 (33.969)	Prec@5 67.188 (64.289)
Epoch: [13][8100/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.9012 (2.7736)	Prec@1 31.250 (33.967)	Prec@5 60.156 (64.286)
Epoch: [13][8110/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.9793 (2.7735)	Prec@1 32.031 (33.968)	Prec@5 60.156 (64.285)
Epoch: [13][8120/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.7662 (2.7735)	Prec@1 36.719 (33.968)	Prec@5 63.281 (64.286)
Epoch: [13][8130/14090]	Time 0.868 (0.766)	Data 0.001 (0.001)	Loss 2.6958 (2.7736)	Prec@1 34.375 (33.968)	Prec@5 66.406 (64.285)
Epoch: [13][8140/14090]	Time 0.777 (0.766)	Data 0.001 (0.001)	Loss 2.6856 (2.7736)	Prec@1 36.719 (33.968)	Prec@5 67.969 (64.285)
Epoch: [13][8150/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.7464 (2.7736)	Prec@1 30.469 (33.968)	Prec@5 65.625 (64.286)
Epoch: [13][8160/14090]	Time 0.776 (0.766)	Data 0.001 (0.001)	Loss 3.0492 (2.7737)	Prec@1 31.250 (33.966)	Prec@5 59.375 (64.285)
Epoch: [13][8170/14090]	Time 0.782 (0.766)	Data 0.001 (0.001)	Loss 2.7323 (2.7736)	Prec@1 35.156 (33.967)	Prec@5 68.750 (64.288)
Epoch: [13][8180/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.6748 (2.7735)	Prec@1 32.031 (33.968)	Prec@5 67.188 (64.289)
Epoch: [13][8190/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.6831 (2.7734)	Prec@1 35.156 (33.970)	Prec@5 64.844 (64.292)
Epoch: [13][8200/14090]	Time 0.999 (0.766)	Data 0.001 (0.001)	Loss 2.9000 (2.7735)	Prec@1 24.219 (33.970)	Prec@5 60.156 (64.290)
Epoch: [13][8210/14090]	Time 0.779 (0.766)	Data 0.001 (0.001)	Loss 2.7557 (2.7734)	Prec@1 38.281 (33.970)	Prec@5 65.625 (64.293)
Epoch: [13][8220/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.5145 (2.7733)	Prec@1 37.500 (33.971)	Prec@5 67.188 (64.293)
Epoch: [13][8230/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 3.0971 (2.7734)	Prec@1 25.000 (33.968)	Prec@5 58.594 (64.293)
Epoch: [13][8240/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 3.0465 (2.7734)	Prec@1 32.812 (33.971)	Prec@5 55.469 (64.293)
Epoch: [13][8250/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 2.8346 (2.7733)	Prec@1 32.031 (33.973)	Prec@5 66.406 (64.295)
Epoch: [13][8260/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 3.0030 (2.7734)	Prec@1 30.469 (33.972)	Prec@5 60.938 (64.294)
Epoch: [13][8270/14090]	Time 0.842 (0.766)	Data 0.001 (0.001)	Loss 2.9365 (2.7735)	Prec@1 31.250 (33.970)	Prec@5 60.156 (64.293)
Epoch: [13][8280/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.7625 (2.7734)	Prec@1 32.031 (33.969)	Prec@5 62.500 (64.291)
Epoch: [13][8290/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.6648 (2.7735)	Prec@1 37.500 (33.969)	Prec@5 67.188 (64.291)
Epoch: [13][8300/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.8591 (2.7735)	Prec@1 30.469 (33.968)	Prec@5 62.500 (64.292)
Epoch: [13][8310/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 2.6097 (2.7735)	Prec@1 35.938 (33.965)	Prec@5 67.969 (64.293)
Epoch: [13][8320/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.8587 (2.7735)	Prec@1 30.469 (33.966)	Prec@5 60.938 (64.292)
Epoch: [13][8330/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.9088 (2.7735)	Prec@1 33.594 (33.966)	Prec@5 59.375 (64.290)
Epoch: [13][8340/14090]	Time 0.865 (0.766)	Data 0.001 (0.001)	Loss 2.5645 (2.7734)	Prec@1 31.250 (33.966)	Prec@5 67.969 (64.292)
Epoch: [13][8350/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.6436 (2.7734)	Prec@1 38.281 (33.970)	Prec@5 65.625 (64.293)
Epoch: [13][8360/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.6834 (2.7732)	Prec@1 43.750 (33.974)	Prec@5 65.625 (64.294)
Epoch: [13][8370/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.7038 (2.7733)	Prec@1 42.969 (33.974)	Prec@5 67.188 (64.292)
Epoch: [13][8380/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 2.8401 (2.7734)	Prec@1 35.156 (33.975)	Prec@5 68.750 (64.291)
Epoch: [13][8390/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.5560 (2.7733)	Prec@1 36.719 (33.976)	Prec@5 68.750 (64.292)
Epoch: [13][8400/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 3.0563 (2.7734)	Prec@1 27.344 (33.974)	Prec@5 59.375 (64.292)
Epoch: [13][8410/14090]	Time 0.868 (0.766)	Data 0.001 (0.001)	Loss 2.8821 (2.7734)	Prec@1 25.781 (33.974)	Prec@5 57.812 (64.291)
Epoch: [13][8420/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.8721 (2.7734)	Prec@1 34.375 (33.973)	Prec@5 59.375 (64.292)
Epoch: [13][8430/14090]	Time 0.776 (0.766)	Data 0.001 (0.001)	Loss 2.8074 (2.7734)	Prec@1 28.125 (33.974)	Prec@5 58.594 (64.291)
Epoch: [13][8440/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.8494 (2.7733)	Prec@1 28.906 (33.975)	Prec@5 71.094 (64.293)
Epoch: [13][8450/14090]	Time 0.805 (0.766)	Data 0.001 (0.001)	Loss 2.5203 (2.7733)	Prec@1 34.375 (33.975)	Prec@5 76.562 (64.294)
Epoch: [13][8460/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.8917 (2.7733)	Prec@1 34.375 (33.974)	Prec@5 64.844 (64.293)
Epoch: [13][8470/14090]	Time 0.779 (0.766)	Data 0.001 (0.001)	Loss 2.7526 (2.7734)	Prec@1 34.375 (33.973)	Prec@5 64.062 (64.292)
Epoch: [13][8480/14090]	Time 0.854 (0.766)	Data 0.001 (0.001)	Loss 2.7408 (2.7733)	Prec@1 33.594 (33.974)	Prec@5 65.625 (64.293)
Epoch: [13][8490/14090]	Time 0.778 (0.766)	Data 0.001 (0.001)	Loss 2.5668 (2.7733)	Prec@1 36.719 (33.975)	Prec@5 65.625 (64.294)
Epoch: [13][8500/14090]	Time 0.722 (0.766)	Data 0.001 (0.001)	Loss 3.0122 (2.7733)	Prec@1 30.469 (33.974)	Prec@5 61.719 (64.293)
Epoch: [13][8510/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.8007 (2.7734)	Prec@1 34.375 (33.973)	Prec@5 64.062 (64.294)
Epoch: [13][8520/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.9720 (2.7735)	Prec@1 31.250 (33.971)	Prec@5 57.812 (64.290)
Epoch: [13][8530/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.9425 (2.7736)	Prec@1 35.938 (33.970)	Prec@5 60.938 (64.288)
Epoch: [13][8540/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.6272 (2.7736)	Prec@1 34.375 (33.968)	Prec@5 66.406 (64.287)
Epoch: [13][8550/14090]	Time 0.886 (0.766)	Data 0.001 (0.001)	Loss 2.6829 (2.7736)	Prec@1 32.812 (33.967)	Prec@5 65.625 (64.288)
Epoch: [13][8560/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.7082 (2.7736)	Prec@1 35.156 (33.968)	Prec@5 66.406 (64.290)
Epoch: [13][8570/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.4442 (2.7735)	Prec@1 39.844 (33.969)	Prec@5 72.656 (64.290)
Epoch: [13][8580/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.8655 (2.7735)	Prec@1 30.469 (33.969)	Prec@5 63.281 (64.292)
Epoch: [13][8590/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 3.1072 (2.7735)	Prec@1 29.688 (33.970)	Prec@5 51.562 (64.294)
Epoch: [13][8600/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.7875 (2.7734)	Prec@1 35.156 (33.970)	Prec@5 63.281 (64.294)
Epoch: [13][8610/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.7129 (2.7734)	Prec@1 30.469 (33.970)	Prec@5 64.844 (64.294)
Epoch: [13][8620/14090]	Time 0.834 (0.766)	Data 0.001 (0.001)	Loss 2.7951 (2.7735)	Prec@1 30.469 (33.969)	Prec@5 62.500 (64.292)
Epoch: [13][8630/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.7649 (2.7735)	Prec@1 35.156 (33.970)	Prec@5 63.281 (64.293)
Epoch: [13][8640/14090]	Time 0.746 (0.766)	Data 0.002 (0.001)	Loss 2.8959 (2.7734)	Prec@1 31.250 (33.970)	Prec@5 59.375 (64.293)
Epoch: [13][8650/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.6972 (2.7734)	Prec@1 30.469 (33.971)	Prec@5 66.406 (64.293)
Epoch: [13][8660/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.9851 (2.7734)	Prec@1 28.906 (33.974)	Prec@5 61.719 (64.296)
Epoch: [13][8670/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.9109 (2.7734)	Prec@1 28.906 (33.972)	Prec@5 67.188 (64.297)
Epoch: [13][8680/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.8173 (2.7734)	Prec@1 31.250 (33.971)	Prec@5 65.625 (64.297)
Epoch: [13][8690/14090]	Time 0.823 (0.766)	Data 0.001 (0.001)	Loss 2.8897 (2.7733)	Prec@1 30.469 (33.974)	Prec@5 60.938 (64.298)
Epoch: [13][8700/14090]	Time 0.779 (0.766)	Data 0.001 (0.001)	Loss 2.5147 (2.7734)	Prec@1 35.156 (33.975)	Prec@5 70.312 (64.297)
Epoch: [13][8710/14090]	Time 0.780 (0.766)	Data 0.001 (0.001)	Loss 2.6804 (2.7733)	Prec@1 39.844 (33.974)	Prec@5 67.188 (64.298)
Epoch: [13][8720/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.5700 (2.7733)	Prec@1 42.188 (33.975)	Prec@5 68.750 (64.298)
Epoch: [13][8730/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.9626 (2.7733)	Prec@1 27.344 (33.975)	Prec@5 59.375 (64.298)
Epoch: [13][8740/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 2.8675 (2.7733)	Prec@1 30.469 (33.974)	Prec@5 63.281 (64.297)
Epoch: [13][8750/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 3.1337 (2.7734)	Prec@1 28.125 (33.972)	Prec@5 57.031 (64.297)
Epoch: [13][8760/14090]	Time 0.868 (0.766)	Data 0.001 (0.001)	Loss 3.1589 (2.7734)	Prec@1 23.438 (33.971)	Prec@5 50.781 (64.294)
Epoch: [13][8770/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.8765 (2.7735)	Prec@1 30.469 (33.969)	Prec@5 64.844 (64.295)
Epoch: [13][8780/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.8032 (2.7735)	Prec@1 32.031 (33.968)	Prec@5 62.500 (64.294)
Epoch: [13][8790/14090]	Time 0.768 (0.766)	Data 0.001 (0.001)	Loss 2.6491 (2.7735)	Prec@1 34.375 (33.967)	Prec@5 67.188 (64.294)
Epoch: [13][8800/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.8179 (2.7736)	Prec@1 36.719 (33.966)	Prec@5 68.750 (64.292)
Epoch: [13][8810/14090]	Time 0.754 (0.766)	Data 0.002 (0.001)	Loss 2.6333 (2.7736)	Prec@1 31.250 (33.967)	Prec@5 67.188 (64.292)
Epoch: [13][8820/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.7962 (2.7736)	Prec@1 33.594 (33.966)	Prec@5 64.844 (64.291)
Epoch: [13][8830/14090]	Time 0.831 (0.766)	Data 0.001 (0.001)	Loss 2.8818 (2.7735)	Prec@1 37.500 (33.967)	Prec@5 61.719 (64.292)
Epoch: [13][8840/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.5953 (2.7734)	Prec@1 36.719 (33.969)	Prec@5 67.969 (64.293)
Epoch: [13][8850/14090]	Time 0.722 (0.766)	Data 0.001 (0.001)	Loss 2.7122 (2.7734)	Prec@1 31.250 (33.970)	Prec@5 63.281 (64.294)
Epoch: [13][8860/14090]	Time 0.768 (0.766)	Data 0.001 (0.001)	Loss 2.7389 (2.7734)	Prec@1 35.938 (33.972)	Prec@5 60.938 (64.294)
Epoch: [13][8870/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.9175 (2.7735)	Prec@1 28.125 (33.970)	Prec@5 64.062 (64.295)
Epoch: [13][8880/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 3.0444 (2.7735)	Prec@1 35.156 (33.970)	Prec@5 59.375 (64.295)
Epoch: [13][8890/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 3.0022 (2.7735)	Prec@1 28.125 (33.970)	Prec@5 58.594 (64.296)
Epoch: [13][8900/14090]	Time 0.901 (0.766)	Data 0.001 (0.001)	Loss 2.8674 (2.7735)	Prec@1 33.594 (33.971)	Prec@5 58.594 (64.296)
Epoch: [13][8910/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.6853 (2.7736)	Prec@1 31.250 (33.968)	Prec@5 67.969 (64.294)
Epoch: [13][8920/14090]	Time 0.723 (0.766)	Data 0.001 (0.001)	Loss 3.0456 (2.7736)	Prec@1 32.812 (33.970)	Prec@5 56.250 (64.294)
Epoch: [13][8930/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.9291 (2.7736)	Prec@1 35.938 (33.972)	Prec@5 64.844 (64.295)
Epoch: [13][8940/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.9217 (2.7736)	Prec@1 32.031 (33.972)	Prec@5 64.844 (64.296)
Epoch: [13][8950/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.6535 (2.7736)	Prec@1 37.500 (33.973)	Prec@5 68.750 (64.296)
Epoch: [13][8960/14090]	Time 0.767 (0.766)	Data 0.001 (0.001)	Loss 2.7628 (2.7736)	Prec@1 33.594 (33.974)	Prec@5 62.500 (64.296)
Epoch: [13][8970/14090]	Time 0.862 (0.766)	Data 0.001 (0.001)	Loss 2.7667 (2.7736)	Prec@1 34.375 (33.973)	Prec@5 63.281 (64.295)
Epoch: [13][8980/14090]	Time 0.722 (0.766)	Data 0.001 (0.001)	Loss 2.7051 (2.7736)	Prec@1 34.375 (33.973)	Prec@5 64.844 (64.294)
Epoch: [13][8990/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.6088 (2.7736)	Prec@1 37.500 (33.974)	Prec@5 64.844 (64.291)
Epoch: [13][9000/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 2.5896 (2.7737)	Prec@1 36.719 (33.973)	Prec@5 69.531 (64.291)
Epoch: [13][9010/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.6956 (2.7737)	Prec@1 30.469 (33.973)	Prec@5 67.969 (64.290)
Epoch: [13][9020/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.6040 (2.7737)	Prec@1 35.938 (33.973)	Prec@5 67.188 (64.293)
Epoch: [13][9030/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.7319 (2.7737)	Prec@1 31.250 (33.972)	Prec@5 62.500 (64.291)
Epoch: [13][9040/14090]	Time 0.855 (0.766)	Data 0.001 (0.001)	Loss 2.9158 (2.7737)	Prec@1 28.906 (33.970)	Prec@5 59.375 (64.291)
Epoch: [13][9050/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.4031 (2.7736)	Prec@1 43.750 (33.974)	Prec@5 68.750 (64.293)
Epoch: [13][9060/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.6999 (2.7736)	Prec@1 39.844 (33.975)	Prec@5 65.625 (64.293)
Epoch: [13][9070/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 2.7882 (2.7736)	Prec@1 34.375 (33.974)	Prec@5 61.719 (64.292)
Epoch: [13][9080/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.9050 (2.7737)	Prec@1 33.594 (33.974)	Prec@5 61.719 (64.291)
Epoch: [13][9090/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.5850 (2.7737)	Prec@1 38.281 (33.972)	Prec@5 69.531 (64.290)
Epoch: [13][9100/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.6908 (2.7737)	Prec@1 37.500 (33.972)	Prec@5 66.406 (64.290)
Epoch: [13][9110/14090]	Time 0.868 (0.766)	Data 0.002 (0.001)	Loss 2.7495 (2.7737)	Prec@1 35.938 (33.973)	Prec@5 65.625 (64.293)
Epoch: [13][9120/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.8213 (2.7736)	Prec@1 32.812 (33.973)	Prec@5 62.500 (64.294)
Epoch: [13][9130/14090]	Time 0.775 (0.766)	Data 0.001 (0.001)	Loss 2.7258 (2.7736)	Prec@1 38.281 (33.975)	Prec@5 68.750 (64.296)
Epoch: [13][9140/14090]	Time 0.718 (0.766)	Data 0.001 (0.001)	Loss 2.9803 (2.7736)	Prec@1 32.812 (33.974)	Prec@5 60.938 (64.296)
Epoch: [13][9150/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 3.0009 (2.7736)	Prec@1 29.688 (33.974)	Prec@5 57.031 (64.297)
Epoch: [13][9160/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.7857 (2.7737)	Prec@1 40.625 (33.973)	Prec@5 65.625 (64.294)
Epoch: [13][9170/14090]	Time 0.769 (0.766)	Data 0.001 (0.001)	Loss 2.6516 (2.7737)	Prec@1 42.188 (33.973)	Prec@5 68.750 (64.296)
Epoch: [13][9180/14090]	Time 0.870 (0.766)	Data 0.001 (0.001)	Loss 2.8783 (2.7737)	Prec@1 34.375 (33.973)	Prec@5 64.062 (64.297)
Epoch: [13][9190/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.9608 (2.7737)	Prec@1 33.594 (33.973)	Prec@5 60.156 (64.297)
Epoch: [13][9200/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 2.8059 (2.7737)	Prec@1 32.812 (33.971)	Prec@5 62.500 (64.297)
Epoch: [13][9210/14090]	Time 0.794 (0.766)	Data 0.001 (0.001)	Loss 2.8608 (2.7737)	Prec@1 28.906 (33.970)	Prec@5 61.719 (64.296)
Epoch: [13][9220/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 3.0796 (2.7738)	Prec@1 31.250 (33.969)	Prec@5 60.156 (64.295)
Epoch: [13][9230/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 3.0445 (2.7738)	Prec@1 32.812 (33.967)	Prec@5 58.594 (64.294)
Epoch: [13][9240/14090]	Time 0.768 (0.766)	Data 0.001 (0.001)	Loss 2.6919 (2.7737)	Prec@1 31.250 (33.970)	Prec@5 69.531 (64.297)
Epoch: [13][9250/14090]	Time 0.811 (0.766)	Data 0.001 (0.001)	Loss 2.7498 (2.7738)	Prec@1 32.812 (33.969)	Prec@5 70.312 (64.298)
Epoch: [13][9260/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.3167 (2.7737)	Prec@1 41.406 (33.969)	Prec@5 74.219 (64.300)
Epoch: [13][9270/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.8940 (2.7737)	Prec@1 29.688 (33.970)	Prec@5 62.500 (64.302)
Epoch: [13][9280/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.6927 (2.7737)	Prec@1 33.594 (33.970)	Prec@5 64.062 (64.301)
Epoch: [13][9290/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.7449 (2.7736)	Prec@1 37.500 (33.972)	Prec@5 63.281 (64.302)
Epoch: [13][9300/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.7944 (2.7737)	Prec@1 33.594 (33.971)	Prec@5 62.500 (64.299)
Epoch: [13][9310/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 3.0205 (2.7738)	Prec@1 25.781 (33.968)	Prec@5 56.250 (64.296)
Epoch: [13][9320/14090]	Time 0.877 (0.766)	Data 0.001 (0.001)	Loss 2.7009 (2.7738)	Prec@1 35.938 (33.969)	Prec@5 64.844 (64.297)
Epoch: [13][9330/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.9114 (2.7739)	Prec@1 29.688 (33.969)	Prec@5 61.719 (64.295)
Epoch: [13][9340/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.7019 (2.7739)	Prec@1 35.156 (33.969)	Prec@5 69.531 (64.293)
Epoch: [13][9350/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.9892 (2.7740)	Prec@1 28.906 (33.967)	Prec@5 60.156 (64.292)
Epoch: [13][9360/14090]	Time 0.782 (0.766)	Data 0.001 (0.001)	Loss 2.9073 (2.7740)	Prec@1 32.812 (33.968)	Prec@5 62.500 (64.292)
Epoch: [13][9370/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.6149 (2.7740)	Prec@1 42.188 (33.970)	Prec@5 63.281 (64.291)
Epoch: [13][9380/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.4360 (2.7739)	Prec@1 36.719 (33.971)	Prec@5 68.750 (64.292)
Epoch: [13][9390/14090]	Time 0.854 (0.766)	Data 0.001 (0.001)	Loss 2.8751 (2.7739)	Prec@1 31.250 (33.970)	Prec@5 61.719 (64.293)
Epoch: [13][9400/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.8825 (2.7738)	Prec@1 32.812 (33.973)	Prec@5 60.938 (64.294)
Epoch: [13][9410/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.9085 (2.7739)	Prec@1 26.562 (33.974)	Prec@5 60.938 (64.292)
Epoch: [13][9420/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.6128 (2.7738)	Prec@1 32.812 (33.973)	Prec@5 72.656 (64.293)
Epoch: [13][9430/14090]	Time 0.786 (0.766)	Data 0.001 (0.001)	Loss 2.5007 (2.7739)	Prec@1 41.406 (33.973)	Prec@5 69.531 (64.294)
Epoch: [13][9440/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.4613 (2.7738)	Prec@1 42.188 (33.971)	Prec@5 69.531 (64.293)
Epoch: [13][9450/14090]	Time 0.775 (0.766)	Data 0.001 (0.001)	Loss 2.9771 (2.7739)	Prec@1 28.125 (33.969)	Prec@5 58.594 (64.293)
Epoch: [13][9460/14090]	Time 0.928 (0.766)	Data 0.001 (0.001)	Loss 3.0195 (2.7738)	Prec@1 27.344 (33.970)	Prec@5 59.375 (64.293)
Epoch: [13][9470/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.6182 (2.7739)	Prec@1 34.375 (33.969)	Prec@5 65.625 (64.293)
Epoch: [13][9480/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.6368 (2.7738)	Prec@1 35.156 (33.971)	Prec@5 69.531 (64.296)
Epoch: [13][9490/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 3.0179 (2.7738)	Prec@1 27.344 (33.971)	Prec@5 53.125 (64.296)
Epoch: [13][9500/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 3.0412 (2.7739)	Prec@1 24.219 (33.968)	Prec@5 57.031 (64.295)
Epoch: [13][9510/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 3.0977 (2.7739)	Prec@1 31.250 (33.969)	Prec@5 57.031 (64.295)
Epoch: [13][9520/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.6724 (2.7738)	Prec@1 36.719 (33.971)	Prec@5 64.844 (64.295)
Epoch: [13][9530/14090]	Time 0.891 (0.766)	Data 0.001 (0.001)	Loss 3.2797 (2.7739)	Prec@1 26.562 (33.971)	Prec@5 54.688 (64.294)
Epoch: [13][9540/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 2.9294 (2.7740)	Prec@1 27.344 (33.970)	Prec@5 57.812 (64.293)
Epoch: [13][9550/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.7387 (2.7740)	Prec@1 30.469 (33.970)	Prec@5 67.188 (64.293)
Epoch: [13][9560/14090]	Time 0.781 (0.766)	Data 0.001 (0.001)	Loss 2.5489 (2.7738)	Prec@1 38.281 (33.974)	Prec@5 67.969 (64.295)
Epoch: [13][9570/14090]	Time 0.784 (0.766)	Data 0.001 (0.001)	Loss 2.7337 (2.7738)	Prec@1 35.938 (33.973)	Prec@5 62.500 (64.295)
Epoch: [13][9580/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.7196 (2.7740)	Prec@1 32.812 (33.970)	Prec@5 67.969 (64.293)
Epoch: [13][9590/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 2.9082 (2.7739)	Prec@1 36.719 (33.971)	Prec@5 57.812 (64.294)
Epoch: [13][9600/14090]	Time 0.819 (0.766)	Data 0.001 (0.001)	Loss 2.7078 (2.7739)	Prec@1 33.594 (33.972)	Prec@5 62.500 (64.292)
Epoch: [13][9610/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.5440 (2.7738)	Prec@1 35.938 (33.974)	Prec@5 70.312 (64.295)
Epoch: [13][9620/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.8539 (2.7737)	Prec@1 28.125 (33.976)	Prec@5 60.938 (64.297)
Epoch: [13][9630/14090]	Time 0.784 (0.766)	Data 0.001 (0.001)	Loss 2.7296 (2.7737)	Prec@1 34.375 (33.976)	Prec@5 67.969 (64.298)
Epoch: [13][9640/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.5653 (2.7737)	Prec@1 32.031 (33.977)	Prec@5 70.312 (64.298)
Epoch: [13][9650/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 3.0533 (2.7737)	Prec@1 33.594 (33.977)	Prec@5 58.594 (64.297)
Epoch: [13][9660/14090]	Time 0.769 (0.766)	Data 0.001 (0.001)	Loss 2.6261 (2.7737)	Prec@1 32.812 (33.978)	Prec@5 66.406 (64.300)
Epoch: [13][9670/14090]	Time 0.810 (0.766)	Data 0.001 (0.001)	Loss 2.7303 (2.7737)	Prec@1 39.062 (33.977)	Prec@5 64.844 (64.298)
Epoch: [13][9680/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 3.0705 (2.7737)	Prec@1 27.344 (33.977)	Prec@5 56.250 (64.297)
Epoch: [13][9690/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 2.9006 (2.7738)	Prec@1 29.688 (33.975)	Prec@5 63.281 (64.297)
Epoch: [13][9700/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.9415 (2.7738)	Prec@1 35.938 (33.973)	Prec@5 60.938 (64.296)
Epoch: [13][9710/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.8238 (2.7739)	Prec@1 34.375 (33.971)	Prec@5 59.375 (64.295)
Epoch: [13][9720/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.7769 (2.7738)	Prec@1 35.938 (33.971)	Prec@5 66.406 (64.298)
Epoch: [13][9730/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.7549 (2.7739)	Prec@1 33.594 (33.969)	Prec@5 58.594 (64.298)
Epoch: [13][9740/14090]	Time 0.825 (0.766)	Data 0.001 (0.001)	Loss 2.9497 (2.7738)	Prec@1 28.906 (33.968)	Prec@5 62.500 (64.298)
Epoch: [13][9750/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.8929 (2.7738)	Prec@1 34.375 (33.969)	Prec@5 62.500 (64.300)
Epoch: [13][9760/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.8098 (2.7738)	Prec@1 31.250 (33.968)	Prec@5 67.969 (64.300)
Epoch: [13][9770/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 2.7393 (2.7738)	Prec@1 34.375 (33.968)	Prec@5 64.062 (64.301)
Epoch: [13][9780/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.6490 (2.7739)	Prec@1 35.938 (33.967)	Prec@5 69.531 (64.299)
Epoch: [13][9790/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.6212 (2.7739)	Prec@1 41.406 (33.966)	Prec@5 65.625 (64.299)
Epoch: [13][9800/14090]	Time 0.724 (0.766)	Data 0.001 (0.001)	Loss 2.4676 (2.7738)	Prec@1 42.969 (33.967)	Prec@5 70.312 (64.300)
Epoch: [13][9810/14090]	Time 0.858 (0.766)	Data 0.001 (0.001)	Loss 2.8411 (2.7738)	Prec@1 29.688 (33.966)	Prec@5 68.750 (64.299)
Epoch: [13][9820/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.6848 (2.7738)	Prec@1 34.375 (33.966)	Prec@5 64.844 (64.299)
Epoch: [13][9830/14090]	Time 0.786 (0.766)	Data 0.001 (0.001)	Loss 2.8097 (2.7738)	Prec@1 35.156 (33.966)	Prec@5 63.281 (64.297)
Epoch: [13][9840/14090]	Time 0.718 (0.766)	Data 0.001 (0.001)	Loss 2.8295 (2.7738)	Prec@1 32.812 (33.967)	Prec@5 64.062 (64.299)
Epoch: [13][9850/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.8896 (2.7738)	Prec@1 31.250 (33.967)	Prec@5 59.375 (64.299)
Epoch: [13][9860/14090]	Time 0.772 (0.766)	Data 0.001 (0.001)	Loss 2.5784 (2.7737)	Prec@1 36.719 (33.968)	Prec@5 73.438 (64.302)
Epoch: [13][9870/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.8372 (2.7736)	Prec@1 32.031 (33.970)	Prec@5 64.844 (64.304)
Epoch: [13][9880/14090]	Time 0.857 (0.766)	Data 0.001 (0.001)	Loss 2.3951 (2.7736)	Prec@1 47.656 (33.971)	Prec@5 69.531 (64.303)
Epoch: [13][9890/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.8506 (2.7736)	Prec@1 30.469 (33.970)	Prec@5 64.062 (64.304)
Epoch: [13][9900/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.9840 (2.7736)	Prec@1 31.250 (33.970)	Prec@5 62.500 (64.305)
Epoch: [13][9910/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.7951 (2.7737)	Prec@1 40.625 (33.970)	Prec@5 65.625 (64.305)
Epoch: [13][9920/14090]	Time 0.769 (0.766)	Data 0.001 (0.001)	Loss 2.7808 (2.7737)	Prec@1 32.031 (33.970)	Prec@5 69.531 (64.305)
Epoch: [13][9930/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.4315 (2.7736)	Prec@1 46.094 (33.971)	Prec@5 69.531 (64.306)
Epoch: [13][9940/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.7753 (2.7736)	Prec@1 32.812 (33.973)	Prec@5 62.500 (64.306)
Epoch: [13][9950/14090]	Time 0.844 (0.766)	Data 0.001 (0.001)	Loss 2.7184 (2.7737)	Prec@1 32.812 (33.969)	Prec@5 68.750 (64.306)
Epoch: [13][9960/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 2.9124 (2.7737)	Prec@1 32.812 (33.969)	Prec@5 59.375 (64.306)
Epoch: [13][9970/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.7460 (2.7736)	Prec@1 28.906 (33.969)	Prec@5 65.625 (64.306)
Epoch: [13][9980/14090]	Time 0.778 (0.766)	Data 0.001 (0.001)	Loss 2.8718 (2.7737)	Prec@1 28.906 (33.968)	Prec@5 63.281 (64.306)
Epoch: [13][9990/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.7876 (2.7737)	Prec@1 30.469 (33.967)	Prec@5 60.938 (64.304)
Epoch: [13][10000/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.8404 (2.7737)	Prec@1 32.812 (33.966)	Prec@5 60.156 (64.303)
Epoch: [13][10010/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.7028 (2.7737)	Prec@1 33.594 (33.966)	Prec@5 68.750 (64.303)
Epoch: [13][10020/14090]	Time 0.867 (0.766)	Data 0.001 (0.001)	Loss 2.6956 (2.7736)	Prec@1 42.188 (33.968)	Prec@5 65.625 (64.306)
Epoch: [13][10030/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.4473 (2.7736)	Prec@1 34.375 (33.969)	Prec@5 73.438 (64.308)
Epoch: [13][10040/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.7517 (2.7736)	Prec@1 34.375 (33.967)	Prec@5 60.156 (64.306)
Epoch: [13][10050/14090]	Time 0.767 (0.766)	Data 0.001 (0.001)	Loss 2.4969 (2.7736)	Prec@1 38.281 (33.966)	Prec@5 71.875 (64.306)
Epoch: [13][10060/14090]	Time 0.773 (0.766)	Data 0.001 (0.001)	Loss 2.9539 (2.7736)	Prec@1 32.812 (33.967)	Prec@5 57.812 (64.307)
Epoch: [13][10070/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.9713 (2.7736)	Prec@1 30.469 (33.970)	Prec@5 60.938 (64.306)
Epoch: [13][10080/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 3.2298 (2.7736)	Prec@1 32.812 (33.970)	Prec@5 55.469 (64.305)
Epoch: [13][10090/14090]	Time 0.856 (0.766)	Data 0.001 (0.001)	Loss 3.0232 (2.7737)	Prec@1 32.812 (33.970)	Prec@5 57.031 (64.304)
Epoch: [13][10100/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.6879 (2.7737)	Prec@1 34.375 (33.973)	Prec@5 64.844 (64.305)
Epoch: [13][10110/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.7650 (2.7736)	Prec@1 39.062 (33.975)	Prec@5 64.844 (64.308)
Epoch: [13][10120/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 2.8849 (2.7736)	Prec@1 29.688 (33.974)	Prec@5 64.062 (64.310)
Epoch: [13][10130/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.7890 (2.7736)	Prec@1 32.031 (33.972)	Prec@5 64.062 (64.308)
Epoch: [13][10140/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.7393 (2.7737)	Prec@1 35.938 (33.970)	Prec@5 64.062 (64.306)
Epoch: [13][10150/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 2.9807 (2.7738)	Prec@1 34.375 (33.970)	Prec@5 60.156 (64.304)
Epoch: [13][10160/14090]	Time 0.857 (0.766)	Data 0.001 (0.001)	Loss 3.0388 (2.7738)	Prec@1 27.344 (33.970)	Prec@5 60.156 (64.306)
Epoch: [13][10170/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 2.5413 (2.7738)	Prec@1 37.500 (33.970)	Prec@5 70.312 (64.305)
Epoch: [13][10180/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 2.5824 (2.7737)	Prec@1 35.938 (33.974)	Prec@5 67.188 (64.307)
Epoch: [13][10190/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.7086 (2.7737)	Prec@1 36.719 (33.973)	Prec@5 64.062 (64.306)
Epoch: [13][10200/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.8017 (2.7738)	Prec@1 31.250 (33.974)	Prec@5 64.844 (64.305)
Epoch: [13][10210/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.3932 (2.7737)	Prec@1 45.312 (33.974)	Prec@5 75.781 (64.307)
Epoch: [13][10220/14090]	Time 0.772 (0.766)	Data 0.001 (0.001)	Loss 2.8418 (2.7737)	Prec@1 30.469 (33.974)	Prec@5 60.938 (64.308)
Epoch: [13][10230/14090]	Time 0.859 (0.766)	Data 0.001 (0.001)	Loss 2.9490 (2.7738)	Prec@1 29.688 (33.974)	Prec@5 61.719 (64.306)
Epoch: [13][10240/14090]	Time 0.777 (0.766)	Data 0.001 (0.001)	Loss 2.7661 (2.7737)	Prec@1 35.156 (33.975)	Prec@5 65.625 (64.305)
Epoch: [13][10250/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.9133 (2.7737)	Prec@1 33.594 (33.975)	Prec@5 58.594 (64.306)
Epoch: [13][10260/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.8084 (2.7738)	Prec@1 35.156 (33.974)	Prec@5 65.625 (64.307)
Epoch: [13][10270/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.7900 (2.7738)	Prec@1 32.812 (33.974)	Prec@5 65.625 (64.307)
Epoch: [13][10280/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.9356 (2.7739)	Prec@1 32.031 (33.973)	Prec@5 59.375 (64.305)
Epoch: [13][10290/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.9569 (2.7739)	Prec@1 30.469 (33.973)	Prec@5 62.500 (64.305)
Epoch: [13][10300/14090]	Time 0.846 (0.766)	Data 0.001 (0.001)	Loss 2.5794 (2.7740)	Prec@1 35.938 (33.971)	Prec@5 71.875 (64.303)
Epoch: [13][10310/14090]	Time 0.785 (0.766)	Data 0.001 (0.001)	Loss 2.8558 (2.7741)	Prec@1 33.594 (33.971)	Prec@5 62.500 (64.303)
Epoch: [13][10320/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.9895 (2.7741)	Prec@1 35.938 (33.970)	Prec@5 56.250 (64.303)
Epoch: [13][10330/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.8631 (2.7741)	Prec@1 31.250 (33.969)	Prec@5 64.062 (64.303)
Epoch: [13][10340/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.8751 (2.7741)	Prec@1 30.469 (33.970)	Prec@5 60.938 (64.304)
Epoch: [13][10350/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.4811 (2.7740)	Prec@1 36.719 (33.971)	Prec@5 69.531 (64.305)
Epoch: [13][10360/14090]	Time 0.723 (0.766)	Data 0.001 (0.001)	Loss 2.9841 (2.7740)	Prec@1 25.781 (33.971)	Prec@5 60.156 (64.304)
Epoch: [13][10370/14090]	Time 0.888 (0.766)	Data 0.001 (0.001)	Loss 2.7766 (2.7741)	Prec@1 39.844 (33.972)	Prec@5 60.156 (64.303)
Epoch: [13][10380/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 2.7818 (2.7741)	Prec@1 39.062 (33.973)	Prec@5 66.406 (64.302)
Epoch: [13][10390/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.7609 (2.7741)	Prec@1 39.844 (33.974)	Prec@5 61.719 (64.301)
Epoch: [13][10400/14090]	Time 0.771 (0.766)	Data 0.001 (0.001)	Loss 3.0062 (2.7741)	Prec@1 32.812 (33.974)	Prec@5 59.375 (64.302)
Epoch: [13][10410/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.8991 (2.7741)	Prec@1 30.469 (33.973)	Prec@5 61.719 (64.301)
Epoch: [13][10420/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.6201 (2.7740)	Prec@1 37.500 (33.975)	Prec@5 66.406 (64.303)
Epoch: [13][10430/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.9470 (2.7739)	Prec@1 30.469 (33.976)	Prec@5 65.625 (64.305)
Epoch: [13][10440/14090]	Time 0.819 (0.766)	Data 0.001 (0.001)	Loss 2.8875 (2.7739)	Prec@1 28.906 (33.975)	Prec@5 64.844 (64.305)
Epoch: [13][10450/14090]	Time 0.781 (0.766)	Data 0.001 (0.001)	Loss 2.7299 (2.7739)	Prec@1 29.688 (33.973)	Prec@5 64.062 (64.305)
Epoch: [13][10460/14090]	Time 0.723 (0.766)	Data 0.001 (0.001)	Loss 2.7965 (2.7739)	Prec@1 32.812 (33.972)	Prec@5 61.719 (64.304)
Epoch: [13][10470/14090]	Time 0.776 (0.766)	Data 0.001 (0.001)	Loss 2.8220 (2.7740)	Prec@1 31.250 (33.971)	Prec@5 64.844 (64.303)
Epoch: [13][10480/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.7756 (2.7740)	Prec@1 35.938 (33.971)	Prec@5 58.594 (64.303)
Epoch: [13][10490/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.7505 (2.7740)	Prec@1 34.375 (33.970)	Prec@5 64.062 (64.302)
Epoch: [13][10500/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 3.1034 (2.7740)	Prec@1 28.125 (33.970)	Prec@5 59.375 (64.304)
Epoch: [13][10510/14090]	Time 0.852 (0.766)	Data 0.001 (0.001)	Loss 3.1413 (2.7740)	Prec@1 30.469 (33.971)	Prec@5 57.812 (64.305)
Epoch: [13][10520/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.6535 (2.7741)	Prec@1 40.625 (33.969)	Prec@5 68.750 (64.303)
Epoch: [13][10530/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.9982 (2.7741)	Prec@1 28.125 (33.970)	Prec@5 61.719 (64.303)
Epoch: [13][10540/14090]	Time 0.721 (0.766)	Data 0.001 (0.001)	Loss 2.6970 (2.7740)	Prec@1 32.812 (33.971)	Prec@5 64.062 (64.306)
Epoch: [13][10550/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.9006 (2.7740)	Prec@1 25.781 (33.971)	Prec@5 64.062 (64.307)
Epoch: [13][10560/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.7940 (2.7740)	Prec@1 30.469 (33.969)	Prec@5 60.156 (64.308)
Epoch: [13][10570/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.6669 (2.7740)	Prec@1 35.938 (33.968)	Prec@5 67.969 (64.306)
Epoch: [13][10580/14090]	Time 0.865 (0.766)	Data 0.001 (0.001)	Loss 2.5709 (2.7740)	Prec@1 34.375 (33.968)	Prec@5 67.969 (64.307)
Epoch: [13][10590/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.7323 (2.7741)	Prec@1 32.031 (33.966)	Prec@5 66.406 (64.305)
Epoch: [13][10600/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.3345 (2.7740)	Prec@1 44.531 (33.967)	Prec@5 71.875 (64.306)
Epoch: [13][10610/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.6333 (2.7739)	Prec@1 38.281 (33.971)	Prec@5 66.406 (64.310)
Epoch: [13][10620/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 2.8735 (2.7739)	Prec@1 33.594 (33.970)	Prec@5 67.188 (64.310)
Epoch: [13][10630/14090]	Time 0.748 (0.766)	Data 0.000 (0.001)	Loss 2.5654 (2.7739)	Prec@1 41.406 (33.970)	Prec@5 64.844 (64.310)
Epoch: [13][10640/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 2.6809 (2.7738)	Prec@1 35.156 (33.970)	Prec@5 67.188 (64.312)
Epoch: [13][10650/14090]	Time 0.832 (0.766)	Data 0.001 (0.001)	Loss 2.6746 (2.7738)	Prec@1 34.375 (33.971)	Prec@5 64.062 (64.312)
Epoch: [13][10660/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 3.0584 (2.7738)	Prec@1 23.438 (33.969)	Prec@5 57.812 (64.312)
Epoch: [13][10670/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.9783 (2.7738)	Prec@1 31.250 (33.968)	Prec@5 60.156 (64.310)
Epoch: [13][10680/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.7564 (2.7739)	Prec@1 34.375 (33.967)	Prec@5 67.188 (64.308)
Epoch: [13][10690/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.6087 (2.7737)	Prec@1 37.500 (33.971)	Prec@5 65.625 (64.312)
Epoch: [13][10700/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.9239 (2.7737)	Prec@1 27.344 (33.971)	Prec@5 64.844 (64.313)
Epoch: [13][10710/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.7893 (2.7737)	Prec@1 38.281 (33.971)	Prec@5 69.531 (64.313)
Epoch: [13][10720/14090]	Time 0.875 (0.766)	Data 0.001 (0.001)	Loss 2.5419 (2.7737)	Prec@1 42.969 (33.971)	Prec@5 68.750 (64.315)
Epoch: [13][10730/14090]	Time 0.723 (0.766)	Data 0.001 (0.001)	Loss 3.0549 (2.7737)	Prec@1 34.375 (33.972)	Prec@5 60.938 (64.313)
Epoch: [13][10740/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.6544 (2.7737)	Prec@1 33.594 (33.972)	Prec@5 63.281 (64.313)
Epoch: [13][10750/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.3008 (2.7736)	Prec@1 37.500 (33.973)	Prec@5 75.781 (64.315)
Epoch: [13][10760/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.4748 (2.7735)	Prec@1 36.719 (33.974)	Prec@5 67.188 (64.316)
Epoch: [13][10770/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.9332 (2.7736)	Prec@1 33.594 (33.972)	Prec@5 63.281 (64.315)
Epoch: [13][10780/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.5354 (2.7736)	Prec@1 35.938 (33.971)	Prec@5 69.531 (64.315)
Epoch: [13][10790/14090]	Time 0.851 (0.766)	Data 0.001 (0.001)	Loss 2.5514 (2.7736)	Prec@1 35.156 (33.971)	Prec@5 69.531 (64.316)
Epoch: [13][10800/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.9753 (2.7737)	Prec@1 28.906 (33.970)	Prec@5 60.156 (64.315)
Epoch: [13][10810/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.8807 (2.7737)	Prec@1 32.812 (33.971)	Prec@5 60.156 (64.313)
Epoch: [13][10820/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 2.7541 (2.7736)	Prec@1 37.500 (33.973)	Prec@5 62.500 (64.315)
Epoch: [13][10830/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.9513 (2.7735)	Prec@1 30.469 (33.975)	Prec@5 60.938 (64.316)
Epoch: [13][10840/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.6232 (2.7735)	Prec@1 36.719 (33.976)	Prec@5 65.625 (64.316)
Epoch: [13][10850/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.6279 (2.7735)	Prec@1 42.188 (33.975)	Prec@5 67.188 (64.316)
Epoch: [13][10860/14090]	Time 0.903 (0.766)	Data 0.001 (0.001)	Loss 2.7458 (2.7735)	Prec@1 36.719 (33.976)	Prec@5 67.188 (64.316)
Epoch: [13][10870/14090]	Time 0.770 (0.766)	Data 0.001 (0.001)	Loss 2.8096 (2.7735)	Prec@1 32.812 (33.977)	Prec@5 63.281 (64.316)
Epoch: [13][10880/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 2.8076 (2.7734)	Prec@1 33.594 (33.978)	Prec@5 64.844 (64.316)
Epoch: [13][10890/14090]	Time 0.782 (0.766)	Data 0.001 (0.001)	Loss 2.7145 (2.7735)	Prec@1 34.375 (33.977)	Prec@5 65.625 (64.317)
Epoch: [13][10900/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.7938 (2.7735)	Prec@1 33.594 (33.976)	Prec@5 62.500 (64.317)
Epoch: [13][10910/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 2.8892 (2.7735)	Prec@1 28.125 (33.975)	Prec@5 60.938 (64.316)
Epoch: [13][10920/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.9019 (2.7736)	Prec@1 28.125 (33.975)	Prec@5 62.500 (64.315)
Epoch: [13][10930/14090]	Time 0.872 (0.766)	Data 0.001 (0.001)	Loss 2.6832 (2.7736)	Prec@1 38.281 (33.975)	Prec@5 67.969 (64.313)
Epoch: [13][10940/14090]	Time 0.723 (0.766)	Data 0.001 (0.001)	Loss 2.8216 (2.7736)	Prec@1 42.188 (33.974)	Prec@5 60.938 (64.312)
Epoch: [13][10950/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.7579 (2.7737)	Prec@1 38.281 (33.973)	Prec@5 64.062 (64.311)
Epoch: [13][10960/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 2.9391 (2.7737)	Prec@1 30.469 (33.971)	Prec@5 65.625 (64.311)
Epoch: [13][10970/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.7060 (2.7737)	Prec@1 38.281 (33.974)	Prec@5 68.750 (64.311)
Epoch: [13][10980/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.7545 (2.7738)	Prec@1 31.250 (33.972)	Prec@5 67.188 (64.310)
Epoch: [13][10990/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.5821 (2.7738)	Prec@1 32.812 (33.971)	Prec@5 66.406 (64.308)
Epoch: [13][11000/14090]	Time 0.853 (0.766)	Data 0.001 (0.001)	Loss 2.5663 (2.7737)	Prec@1 41.406 (33.973)	Prec@5 66.406 (64.310)
Epoch: [13][11010/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.8099 (2.7737)	Prec@1 32.812 (33.973)	Prec@5 67.969 (64.312)
Epoch: [13][11020/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.6026 (2.7737)	Prec@1 37.500 (33.974)	Prec@5 66.406 (64.311)
Epoch: [13][11030/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.6118 (2.7737)	Prec@1 35.156 (33.973)	Prec@5 71.094 (64.312)
Epoch: [13][11040/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 3.1194 (2.7737)	Prec@1 27.344 (33.973)	Prec@5 63.281 (64.313)
Epoch: [13][11050/14090]	Time 0.735 (0.766)	Data 0.002 (0.001)	Loss 2.7831 (2.7737)	Prec@1 35.938 (33.972)	Prec@5 64.844 (64.312)
Epoch: [13][11060/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.9207 (2.7738)	Prec@1 31.250 (33.970)	Prec@5 60.938 (64.311)
Epoch: [13][11070/14090]	Time 0.867 (0.766)	Data 0.001 (0.001)	Loss 2.9721 (2.7739)	Prec@1 30.469 (33.969)	Prec@5 62.500 (64.310)
Epoch: [13][11080/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 3.1357 (2.7739)	Prec@1 25.781 (33.969)	Prec@5 56.250 (64.311)
Epoch: [13][11090/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.8808 (2.7740)	Prec@1 25.781 (33.969)	Prec@5 63.281 (64.309)
Epoch: [13][11100/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.9339 (2.7739)	Prec@1 32.031 (33.970)	Prec@5 58.594 (64.310)
Epoch: [13][11110/14090]	Time 0.765 (0.766)	Data 0.001 (0.001)	Loss 2.7148 (2.7739)	Prec@1 35.156 (33.971)	Prec@5 65.625 (64.310)
Epoch: [13][11120/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.8325 (2.7739)	Prec@1 30.469 (33.970)	Prec@5 62.500 (64.310)
Epoch: [13][11130/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.5403 (2.7738)	Prec@1 37.500 (33.970)	Prec@5 68.750 (64.312)
Epoch: [13][11140/14090]	Time 0.848 (0.766)	Data 0.001 (0.001)	Loss 2.7678 (2.7738)	Prec@1 38.281 (33.970)	Prec@5 68.750 (64.312)
Epoch: [13][11150/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.8363 (2.7739)	Prec@1 33.594 (33.970)	Prec@5 63.281 (64.308)
Epoch: [13][11160/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.7510 (2.7740)	Prec@1 32.031 (33.969)	Prec@5 62.500 (64.306)
Epoch: [13][11170/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 3.0159 (2.7740)	Prec@1 29.688 (33.967)	Prec@5 58.594 (64.305)
Epoch: [13][11180/14090]	Time 0.722 (0.766)	Data 0.001 (0.001)	Loss 2.6883 (2.7741)	Prec@1 33.594 (33.965)	Prec@5 64.062 (64.304)
Epoch: [13][11190/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.7247 (2.7741)	Prec@1 30.469 (33.965)	Prec@5 62.500 (64.303)
Epoch: [13][11200/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 2.7958 (2.7742)	Prec@1 35.156 (33.964)	Prec@5 60.938 (64.300)
Epoch: [13][11210/14090]	Time 0.849 (0.766)	Data 0.001 (0.001)	Loss 2.6051 (2.7742)	Prec@1 39.844 (33.965)	Prec@5 67.969 (64.300)
Epoch: [13][11220/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.5670 (2.7742)	Prec@1 32.031 (33.965)	Prec@5 66.406 (64.301)
Epoch: [13][11230/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.8240 (2.7741)	Prec@1 31.250 (33.967)	Prec@5 64.844 (64.303)
Epoch: [13][11240/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.8805 (2.7741)	Prec@1 31.250 (33.967)	Prec@5 67.188 (64.302)
Epoch: [13][11250/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 3.1602 (2.7742)	Prec@1 32.031 (33.966)	Prec@5 53.906 (64.300)
Epoch: [13][11260/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.8704 (2.7743)	Prec@1 30.469 (33.964)	Prec@5 60.938 (64.298)
Epoch: [13][11270/14090]	Time 0.779 (0.766)	Data 0.001 (0.001)	Loss 2.7085 (2.7742)	Prec@1 39.062 (33.967)	Prec@5 65.625 (64.300)
Epoch: [13][11280/14090]	Time 0.881 (0.766)	Data 0.001 (0.001)	Loss 2.8234 (2.7742)	Prec@1 26.562 (33.966)	Prec@5 63.281 (64.300)
Epoch: [13][11290/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.9385 (2.7742)	Prec@1 35.156 (33.968)	Prec@5 63.281 (64.301)
Epoch: [13][11300/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.9213 (2.7742)	Prec@1 36.719 (33.967)	Prec@5 63.281 (64.301)
Epoch: [13][11310/14090]	Time 0.769 (0.766)	Data 0.001 (0.001)	Loss 2.4414 (2.7741)	Prec@1 33.594 (33.968)	Prec@5 75.781 (64.303)
Epoch: [13][11320/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.8130 (2.7741)	Prec@1 35.938 (33.969)	Prec@5 63.281 (64.304)
Epoch: [13][11330/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.9902 (2.7741)	Prec@1 31.250 (33.970)	Prec@5 60.938 (64.305)
Epoch: [13][11340/14090]	Time 0.775 (0.766)	Data 0.001 (0.001)	Loss 2.7842 (2.7740)	Prec@1 37.500 (33.970)	Prec@5 60.938 (64.306)
Epoch: [13][11350/14090]	Time 0.862 (0.766)	Data 0.001 (0.001)	Loss 2.7238 (2.7740)	Prec@1 29.688 (33.972)	Prec@5 67.969 (64.308)
Epoch: [13][11360/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.9562 (2.7739)	Prec@1 23.438 (33.973)	Prec@5 65.625 (64.310)
Epoch: [13][11370/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.5928 (2.7738)	Prec@1 37.500 (33.974)	Prec@5 67.969 (64.311)
Epoch: [13][11380/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.5424 (2.7738)	Prec@1 34.375 (33.974)	Prec@5 70.312 (64.311)
Epoch: [13][11390/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.7233 (2.7738)	Prec@1 37.500 (33.974)	Prec@5 64.844 (64.311)
Epoch: [13][11400/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.8700 (2.7738)	Prec@1 31.250 (33.974)	Prec@5 63.281 (64.313)
Epoch: [13][11410/14090]	Time 0.794 (0.766)	Data 0.001 (0.001)	Loss 3.0422 (2.7738)	Prec@1 21.094 (33.974)	Prec@5 58.594 (64.313)
Epoch: [13][11420/14090]	Time 0.834 (0.766)	Data 0.001 (0.001)	Loss 2.9565 (2.7739)	Prec@1 32.812 (33.974)	Prec@5 62.500 (64.312)
Epoch: [13][11430/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.6674 (2.7739)	Prec@1 37.500 (33.972)	Prec@5 67.969 (64.311)
Epoch: [13][11440/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.8111 (2.7739)	Prec@1 26.562 (33.971)	Prec@5 64.844 (64.312)
Epoch: [13][11450/14090]	Time 0.784 (0.766)	Data 0.001 (0.001)	Loss 2.5200 (2.7739)	Prec@1 39.844 (33.972)	Prec@5 71.094 (64.311)
Epoch: [13][11460/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.6192 (2.7738)	Prec@1 39.844 (33.974)	Prec@5 65.625 (64.313)
Epoch: [13][11470/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.7196 (2.7738)	Prec@1 37.500 (33.974)	Prec@5 64.844 (64.312)
Epoch: [13][11480/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.5019 (2.7738)	Prec@1 33.594 (33.974)	Prec@5 72.656 (64.313)
Epoch: [13][11490/14090]	Time 0.841 (0.766)	Data 0.001 (0.001)	Loss 3.0068 (2.7738)	Prec@1 28.906 (33.973)	Prec@5 63.281 (64.313)
Epoch: [13][11500/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.9588 (2.7738)	Prec@1 31.250 (33.974)	Prec@5 59.375 (64.314)
Epoch: [13][11510/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 2.8502 (2.7738)	Prec@1 33.594 (33.973)	Prec@5 60.156 (64.312)
Epoch: [13][11520/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.6221 (2.7738)	Prec@1 37.500 (33.974)	Prec@5 67.188 (64.312)
Epoch: [13][11530/14090]	Time 0.785 (0.766)	Data 0.001 (0.001)	Loss 2.9675 (2.7739)	Prec@1 33.594 (33.973)	Prec@5 61.719 (64.311)
Epoch: [13][11540/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.8749 (2.7738)	Prec@1 28.906 (33.976)	Prec@5 61.719 (64.312)
Epoch: [13][11550/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.7351 (2.7738)	Prec@1 34.375 (33.975)	Prec@5 67.969 (64.313)
Epoch: [13][11560/14090]	Time 0.834 (0.766)	Data 0.001 (0.001)	Loss 3.0212 (2.7738)	Prec@1 28.906 (33.974)	Prec@5 54.688 (64.313)
Epoch: [13][11570/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.6446 (2.7738)	Prec@1 38.281 (33.973)	Prec@5 64.844 (64.311)
Epoch: [13][11580/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.7033 (2.7738)	Prec@1 40.625 (33.975)	Prec@5 67.188 (64.312)
Epoch: [13][11590/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.7651 (2.7739)	Prec@1 37.500 (33.974)	Prec@5 64.062 (64.311)
Epoch: [13][11600/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.6268 (2.7738)	Prec@1 38.281 (33.976)	Prec@5 67.188 (64.311)
Epoch: [13][11610/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.9696 (2.7738)	Prec@1 32.031 (33.976)	Prec@5 57.812 (64.310)
Epoch: [13][11620/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.8135 (2.7739)	Prec@1 32.812 (33.976)	Prec@5 60.156 (64.308)
Epoch: [13][11630/14090]	Time 0.815 (0.766)	Data 0.001 (0.001)	Loss 2.6271 (2.7739)	Prec@1 35.938 (33.977)	Prec@5 64.844 (64.307)
Epoch: [13][11640/14090]	Time 0.781 (0.766)	Data 0.001 (0.001)	Loss 2.9262 (2.7739)	Prec@1 28.125 (33.977)	Prec@5 60.156 (64.307)
Epoch: [13][11650/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.7013 (2.7739)	Prec@1 30.469 (33.976)	Prec@5 60.938 (64.306)
Epoch: [13][11660/14090]	Time 0.723 (0.766)	Data 0.001 (0.001)	Loss 2.6951 (2.7739)	Prec@1 32.812 (33.976)	Prec@5 63.281 (64.306)
Epoch: [13][11670/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.4380 (2.7738)	Prec@1 39.062 (33.976)	Prec@5 69.531 (64.308)
Epoch: [13][11680/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.7794 (2.7738)	Prec@1 34.375 (33.975)	Prec@5 66.406 (64.306)
Epoch: [13][11690/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.7152 (2.7738)	Prec@1 32.031 (33.975)	Prec@5 63.281 (64.306)
Epoch: [13][11700/14090]	Time 0.839 (0.766)	Data 0.001 (0.001)	Loss 2.6087 (2.7737)	Prec@1 39.844 (33.975)	Prec@5 65.625 (64.307)
Epoch: [13][11710/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.7901 (2.7738)	Prec@1 28.906 (33.972)	Prec@5 67.188 (64.305)
Epoch: [13][11720/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 2.8282 (2.7738)	Prec@1 36.719 (33.974)	Prec@5 60.938 (64.306)
Epoch: [13][11730/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.6896 (2.7738)	Prec@1 34.375 (33.973)	Prec@5 64.844 (64.305)
Epoch: [13][11740/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.8301 (2.7739)	Prec@1 34.375 (33.972)	Prec@5 63.281 (64.304)
Epoch: [13][11750/14090]	Time 0.723 (0.766)	Data 0.001 (0.001)	Loss 2.6879 (2.7739)	Prec@1 34.375 (33.972)	Prec@5 70.312 (64.304)
Epoch: [13][11760/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.5205 (2.7739)	Prec@1 38.281 (33.972)	Prec@5 67.969 (64.303)
Epoch: [13][11770/14090]	Time 0.851 (0.766)	Data 0.001 (0.001)	Loss 2.9769 (2.7740)	Prec@1 28.125 (33.971)	Prec@5 60.156 (64.303)
Epoch: [13][11780/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.7867 (2.7740)	Prec@1 35.938 (33.969)	Prec@5 62.500 (64.302)
Epoch: [13][11790/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 2.7317 (2.7741)	Prec@1 33.594 (33.970)	Prec@5 64.062 (64.301)
Epoch: [13][11800/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.7485 (2.7740)	Prec@1 39.062 (33.970)	Prec@5 66.406 (64.302)
Epoch: [13][11810/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.6479 (2.7740)	Prec@1 30.469 (33.970)	Prec@5 67.969 (64.303)
Epoch: [13][11820/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 2.7189 (2.7740)	Prec@1 41.406 (33.971)	Prec@5 69.531 (64.305)
Epoch: [13][11830/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.9195 (2.7741)	Prec@1 32.031 (33.970)	Prec@5 65.625 (64.303)
Epoch: [13][11840/14090]	Time 0.827 (0.766)	Data 0.001 (0.001)	Loss 2.8640 (2.7741)	Prec@1 32.812 (33.969)	Prec@5 63.281 (64.302)
Epoch: [13][11850/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.8506 (2.7742)	Prec@1 35.156 (33.969)	Prec@5 66.406 (64.301)
Epoch: [13][11860/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.7152 (2.7741)	Prec@1 37.500 (33.971)	Prec@5 64.062 (64.301)
Epoch: [13][11870/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 3.0289 (2.7742)	Prec@1 26.562 (33.968)	Prec@5 60.156 (64.300)
Epoch: [13][11880/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 2.6409 (2.7742)	Prec@1 35.156 (33.967)	Prec@5 65.625 (64.300)
Epoch: [13][11890/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.6880 (2.7742)	Prec@1 36.719 (33.966)	Prec@5 64.062 (64.300)
Epoch: [13][11900/14090]	Time 0.779 (0.766)	Data 0.001 (0.001)	Loss 3.0183 (2.7742)	Prec@1 28.125 (33.966)	Prec@5 60.938 (64.301)
Epoch: [13][11910/14090]	Time 0.852 (0.766)	Data 0.001 (0.001)	Loss 2.5898 (2.7742)	Prec@1 38.281 (33.966)	Prec@5 64.844 (64.300)
Epoch: [13][11920/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.6985 (2.7743)	Prec@1 37.500 (33.965)	Prec@5 65.625 (64.299)
Epoch: [13][11930/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.8333 (2.7743)	Prec@1 34.375 (33.965)	Prec@5 64.062 (64.298)
Epoch: [13][11940/14090]	Time 0.781 (0.766)	Data 0.001 (0.001)	Loss 2.9145 (2.7743)	Prec@1 32.812 (33.964)	Prec@5 62.500 (64.297)
Epoch: [13][11950/14090]	Time 0.768 (0.766)	Data 0.001 (0.001)	Loss 2.3565 (2.7743)	Prec@1 42.188 (33.964)	Prec@5 71.875 (64.297)
Epoch: [13][11960/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 2.7686 (2.7743)	Prec@1 34.375 (33.966)	Prec@5 65.625 (64.298)
Epoch: [13][11970/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.7569 (2.7742)	Prec@1 38.281 (33.966)	Prec@5 63.281 (64.299)
Epoch: [13][11980/14090]	Time 0.836 (0.766)	Data 0.001 (0.001)	Loss 2.9736 (2.7742)	Prec@1 34.375 (33.967)	Prec@5 64.844 (64.301)
Epoch: [13][11990/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 3.1657 (2.7743)	Prec@1 28.906 (33.965)	Prec@5 53.906 (64.299)
Epoch: [13][12000/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.5867 (2.7743)	Prec@1 35.938 (33.965)	Prec@5 70.312 (64.298)
Epoch: [13][12010/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.7927 (2.7743)	Prec@1 33.594 (33.965)	Prec@5 66.406 (64.298)
Epoch: [13][12020/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 3.0469 (2.7744)	Prec@1 25.000 (33.964)	Prec@5 60.938 (64.296)
Epoch: [13][12030/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 2.6240 (2.7744)	Prec@1 36.719 (33.965)	Prec@5 67.969 (64.296)
Epoch: [13][12040/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.6296 (2.7745)	Prec@1 41.406 (33.963)	Prec@5 67.188 (64.294)
Epoch: [13][12050/14090]	Time 0.873 (0.766)	Data 0.001 (0.001)	Loss 2.5791 (2.7745)	Prec@1 35.938 (33.964)	Prec@5 67.188 (64.293)
Epoch: [13][12060/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.8899 (2.7745)	Prec@1 30.469 (33.964)	Prec@5 64.062 (64.293)
Epoch: [13][12070/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.8970 (2.7745)	Prec@1 35.156 (33.964)	Prec@5 64.844 (64.292)
Epoch: [13][12080/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.7313 (2.7746)	Prec@1 35.156 (33.963)	Prec@5 63.281 (64.290)
Epoch: [13][12090/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.9384 (2.7746)	Prec@1 25.781 (33.963)	Prec@5 65.625 (64.290)
Epoch: [13][12100/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.8524 (2.7746)	Prec@1 33.594 (33.961)	Prec@5 64.062 (64.290)
Epoch: [13][12110/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 2.8649 (2.7746)	Prec@1 30.469 (33.962)	Prec@5 65.625 (64.290)
Epoch: [13][12120/14090]	Time 0.851 (0.766)	Data 0.001 (0.001)	Loss 2.6611 (2.7746)	Prec@1 33.594 (33.962)	Prec@5 66.406 (64.290)
Epoch: [13][12130/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.8120 (2.7746)	Prec@1 33.594 (33.962)	Prec@5 58.594 (64.290)
Epoch: [13][12140/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.4894 (2.7746)	Prec@1 40.625 (33.963)	Prec@5 70.312 (64.290)
Epoch: [13][12150/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.9975 (2.7746)	Prec@1 29.688 (33.962)	Prec@5 60.938 (64.289)
Epoch: [13][12160/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.8037 (2.7746)	Prec@1 35.938 (33.961)	Prec@5 62.500 (64.291)
Epoch: [13][12170/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.7432 (2.7746)	Prec@1 26.562 (33.960)	Prec@5 66.406 (64.291)
Epoch: [13][12180/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.6606 (2.7746)	Prec@1 29.688 (33.960)	Prec@5 66.406 (64.291)
Epoch: [13][12190/14090]	Time 0.860 (0.766)	Data 0.001 (0.001)	Loss 2.5304 (2.7745)	Prec@1 39.844 (33.960)	Prec@5 68.750 (64.292)
Epoch: [13][12200/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.6594 (2.7746)	Prec@1 35.156 (33.960)	Prec@5 68.750 (64.293)
Epoch: [13][12210/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 3.1324 (2.7746)	Prec@1 28.906 (33.958)	Prec@5 62.500 (64.292)
Epoch: [13][12220/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.8286 (2.7746)	Prec@1 30.469 (33.958)	Prec@5 65.625 (64.293)
Epoch: [13][12230/14090]	Time 0.724 (0.766)	Data 0.001 (0.001)	Loss 2.7956 (2.7746)	Prec@1 35.156 (33.958)	Prec@5 62.500 (64.292)
Epoch: [13][12240/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 2.9144 (2.7745)	Prec@1 32.031 (33.959)	Prec@5 59.375 (64.293)
Epoch: [13][12250/14090]	Time 0.768 (0.766)	Data 0.001 (0.001)	Loss 2.8045 (2.7746)	Prec@1 33.594 (33.958)	Prec@5 61.719 (64.293)
Epoch: [13][12260/14090]	Time 0.872 (0.766)	Data 0.001 (0.001)	Loss 2.7959 (2.7746)	Prec@1 33.594 (33.958)	Prec@5 65.625 (64.293)
Epoch: [13][12270/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.6200 (2.7745)	Prec@1 37.500 (33.958)	Prec@5 70.312 (64.295)
Epoch: [13][12280/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.4587 (2.7745)	Prec@1 46.094 (33.960)	Prec@5 68.750 (64.295)
Epoch: [13][12290/14090]	Time 0.786 (0.766)	Data 0.001 (0.001)	Loss 2.7378 (2.7746)	Prec@1 35.156 (33.959)	Prec@5 64.844 (64.293)
Epoch: [13][12300/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 3.0547 (2.7746)	Prec@1 31.250 (33.960)	Prec@5 60.156 (64.291)
Epoch: [13][12310/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.7113 (2.7746)	Prec@1 37.500 (33.959)	Prec@5 68.750 (64.291)
Epoch: [13][12320/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.7635 (2.7747)	Prec@1 32.031 (33.957)	Prec@5 62.500 (64.290)
Epoch: [13][12330/14090]	Time 0.854 (0.766)	Data 0.001 (0.001)	Loss 2.5747 (2.7746)	Prec@1 39.062 (33.958)	Prec@5 69.531 (64.291)
Epoch: [13][12340/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.8009 (2.7747)	Prec@1 30.469 (33.956)	Prec@5 63.281 (64.291)
Epoch: [13][12350/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.5472 (2.7747)	Prec@1 36.719 (33.956)	Prec@5 65.625 (64.291)
Epoch: [13][12360/14090]	Time 0.776 (0.766)	Data 0.001 (0.001)	Loss 2.6725 (2.7747)	Prec@1 39.062 (33.956)	Prec@5 64.844 (64.291)
Epoch: [13][12370/14090]	Time 0.789 (0.766)	Data 0.001 (0.001)	Loss 2.7849 (2.7747)	Prec@1 29.688 (33.957)	Prec@5 62.500 (64.291)
Epoch: [13][12380/14090]	Time 0.754 (0.766)	Data 0.003 (0.001)	Loss 2.3307 (2.7746)	Prec@1 44.531 (33.958)	Prec@5 72.656 (64.291)
Epoch: [13][12390/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.5081 (2.7747)	Prec@1 38.281 (33.957)	Prec@5 72.656 (64.290)
Epoch: [13][12400/14090]	Time 0.856 (0.766)	Data 0.001 (0.001)	Loss 2.9350 (2.7747)	Prec@1 29.688 (33.956)	Prec@5 60.156 (64.290)
Epoch: [13][12410/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.6116 (2.7746)	Prec@1 35.156 (33.957)	Prec@5 62.500 (64.291)
Epoch: [13][12420/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 3.0969 (2.7747)	Prec@1 26.562 (33.955)	Prec@5 55.469 (64.289)
Epoch: [13][12430/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.6274 (2.7747)	Prec@1 33.594 (33.956)	Prec@5 66.406 (64.288)
Epoch: [13][12440/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.5985 (2.7746)	Prec@1 40.625 (33.958)	Prec@5 69.531 (64.287)
Epoch: [13][12450/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.5812 (2.7746)	Prec@1 36.719 (33.959)	Prec@5 65.625 (64.288)
Epoch: [13][12460/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.6478 (2.7745)	Prec@1 37.500 (33.961)	Prec@5 69.531 (64.290)
Epoch: [13][12470/14090]	Time 0.865 (0.766)	Data 0.001 (0.001)	Loss 2.5362 (2.7745)	Prec@1 38.281 (33.962)	Prec@5 70.312 (64.290)
Epoch: [13][12480/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.7426 (2.7745)	Prec@1 32.031 (33.960)	Prec@5 59.375 (64.290)
Epoch: [13][12490/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.6428 (2.7746)	Prec@1 34.375 (33.959)	Prec@5 70.312 (64.289)
Epoch: [13][12500/14090]	Time 0.770 (0.766)	Data 0.001 (0.001)	Loss 2.6999 (2.7746)	Prec@1 39.062 (33.960)	Prec@5 67.188 (64.291)
Epoch: [13][12510/14090]	Time 0.768 (0.766)	Data 0.001 (0.001)	Loss 3.0754 (2.7746)	Prec@1 28.906 (33.960)	Prec@5 58.594 (64.290)
Epoch: [13][12520/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.7216 (2.7747)	Prec@1 37.500 (33.960)	Prec@5 69.531 (64.289)
Epoch: [13][12530/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.8616 (2.7747)	Prec@1 34.375 (33.959)	Prec@5 60.938 (64.288)
Epoch: [13][12540/14090]	Time 0.804 (0.766)	Data 0.001 (0.001)	Loss 2.7984 (2.7747)	Prec@1 34.375 (33.959)	Prec@5 59.375 (64.288)
Epoch: [13][12550/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.8702 (2.7747)	Prec@1 32.031 (33.958)	Prec@5 60.156 (64.287)
Epoch: [13][12560/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.7296 (2.7747)	Prec@1 37.500 (33.957)	Prec@5 62.500 (64.287)
Epoch: [13][12570/14090]	Time 0.782 (0.766)	Data 0.001 (0.001)	Loss 2.5295 (2.7746)	Prec@1 39.062 (33.959)	Prec@5 69.531 (64.288)
Epoch: [13][12580/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.8757 (2.7747)	Prec@1 25.000 (33.957)	Prec@5 63.281 (64.287)
Epoch: [13][12590/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.6367 (2.7747)	Prec@1 41.406 (33.957)	Prec@5 66.406 (64.287)
Epoch: [13][12600/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.8325 (2.7747)	Prec@1 28.906 (33.958)	Prec@5 59.375 (64.287)
Epoch: [13][12610/14090]	Time 0.851 (0.766)	Data 0.001 (0.001)	Loss 2.7134 (2.7747)	Prec@1 28.906 (33.958)	Prec@5 64.844 (64.287)
Epoch: [13][12620/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.9546 (2.7748)	Prec@1 27.344 (33.956)	Prec@5 61.719 (64.285)
Epoch: [13][12630/14090]	Time 0.786 (0.766)	Data 0.001 (0.001)	Loss 2.5068 (2.7748)	Prec@1 39.062 (33.958)	Prec@5 71.094 (64.285)
Epoch: [13][12640/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.7148 (2.7748)	Prec@1 35.938 (33.958)	Prec@5 63.281 (64.284)
Epoch: [13][12650/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.7633 (2.7747)	Prec@1 35.938 (33.959)	Prec@5 61.719 (64.284)
Epoch: [13][12660/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.7688 (2.7747)	Prec@1 34.375 (33.958)	Prec@5 68.750 (64.284)
Epoch: [13][12670/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.8481 (2.7748)	Prec@1 35.938 (33.957)	Prec@5 64.062 (64.283)
Epoch: [13][12680/14090]	Time 0.848 (0.766)	Data 0.001 (0.001)	Loss 3.0642 (2.7748)	Prec@1 28.906 (33.956)	Prec@5 60.938 (64.283)
Epoch: [13][12690/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.7223 (2.7748)	Prec@1 31.250 (33.956)	Prec@5 62.500 (64.284)
Epoch: [13][12700/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.9948 (2.7747)	Prec@1 28.906 (33.957)	Prec@5 57.812 (64.284)
Epoch: [13][12710/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 2.8345 (2.7747)	Prec@1 37.500 (33.957)	Prec@5 64.062 (64.285)
Epoch: [13][12720/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.6462 (2.7747)	Prec@1 35.156 (33.958)	Prec@5 66.406 (64.285)
Epoch: [13][12730/14090]	Time 0.730 (0.766)	Data 0.000 (0.001)	Loss 2.7417 (2.7747)	Prec@1 39.844 (33.958)	Prec@5 64.062 (64.284)
Epoch: [13][12740/14090]	Time 0.765 (0.766)	Data 0.001 (0.001)	Loss 2.8201 (2.7748)	Prec@1 28.125 (33.956)	Prec@5 61.719 (64.283)
Epoch: [13][12750/14090]	Time 0.879 (0.766)	Data 0.001 (0.001)	Loss 3.0627 (2.7749)	Prec@1 28.906 (33.954)	Prec@5 58.594 (64.283)
Epoch: [13][12760/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.6685 (2.7749)	Prec@1 43.750 (33.955)	Prec@5 65.625 (64.283)
Epoch: [13][12770/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.9454 (2.7750)	Prec@1 29.688 (33.953)	Prec@5 61.719 (64.280)
Epoch: [13][12780/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 3.0365 (2.7751)	Prec@1 27.344 (33.952)	Prec@5 60.938 (64.280)
Epoch: [13][12790/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.9357 (2.7751)	Prec@1 35.938 (33.953)	Prec@5 55.469 (64.280)
Epoch: [13][12800/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.5321 (2.7751)	Prec@1 38.281 (33.954)	Prec@5 70.312 (64.281)
Epoch: [13][12810/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.8263 (2.7751)	Prec@1 37.500 (33.954)	Prec@5 63.281 (64.283)
Epoch: [13][12820/14090]	Time 0.874 (0.766)	Data 0.001 (0.001)	Loss 2.9241 (2.7751)	Prec@1 31.250 (33.954)	Prec@5 62.500 (64.282)
Epoch: [13][12830/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.6103 (2.7751)	Prec@1 41.406 (33.955)	Prec@5 66.406 (64.283)
Epoch: [13][12840/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.5159 (2.7750)	Prec@1 42.969 (33.957)	Prec@5 65.625 (64.284)
Epoch: [13][12850/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.6444 (2.7750)	Prec@1 32.031 (33.956)	Prec@5 66.406 (64.285)
Epoch: [13][12860/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.5121 (2.7749)	Prec@1 34.375 (33.958)	Prec@5 67.188 (64.285)
Epoch: [13][12870/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.8830 (2.7749)	Prec@1 30.469 (33.959)	Prec@5 59.375 (64.286)
Epoch: [13][12880/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.5720 (2.7749)	Prec@1 39.062 (33.960)	Prec@5 68.750 (64.286)
Epoch: [13][12890/14090]	Time 0.862 (0.766)	Data 0.001 (0.001)	Loss 2.5531 (2.7749)	Prec@1 42.188 (33.960)	Prec@5 72.656 (64.287)
Epoch: [13][12900/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.8577 (2.7749)	Prec@1 33.594 (33.960)	Prec@5 57.031 (64.288)
Epoch: [13][12910/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.8803 (2.7750)	Prec@1 32.031 (33.959)	Prec@5 60.156 (64.285)
Epoch: [13][12920/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.6207 (2.7750)	Prec@1 39.062 (33.959)	Prec@5 63.281 (64.283)
Epoch: [13][12930/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.8271 (2.7750)	Prec@1 31.250 (33.959)	Prec@5 67.188 (64.285)
Epoch: [13][12940/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.8326 (2.7750)	Prec@1 32.031 (33.960)	Prec@5 66.406 (64.285)
Epoch: [13][12950/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.7527 (2.7750)	Prec@1 35.938 (33.961)	Prec@5 64.062 (64.284)
Epoch: [13][12960/14090]	Time 0.853 (0.765)	Data 0.001 (0.001)	Loss 2.7795 (2.7750)	Prec@1 35.156 (33.962)	Prec@5 60.156 (64.284)
Epoch: [13][12970/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.6657 (2.7750)	Prec@1 35.938 (33.962)	Prec@5 68.750 (64.285)
Epoch: [13][12980/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 3.0810 (2.7751)	Prec@1 25.781 (33.960)	Prec@5 58.594 (64.282)
Epoch: [13][12990/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.9346 (2.7752)	Prec@1 31.250 (33.958)	Prec@5 61.719 (64.280)
Epoch: [13][13000/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.9004 (2.7752)	Prec@1 34.375 (33.956)	Prec@5 58.594 (64.280)
Epoch: [13][13010/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 3.0939 (2.7752)	Prec@1 28.906 (33.956)	Prec@5 57.031 (64.279)
Epoch: [13][13020/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 3.0543 (2.7753)	Prec@1 32.031 (33.956)	Prec@5 56.250 (64.277)
Epoch: [13][13030/14090]	Time 0.863 (0.765)	Data 0.001 (0.001)	Loss 2.9031 (2.7753)	Prec@1 32.031 (33.955)	Prec@5 60.156 (64.276)
Epoch: [13][13040/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.6959 (2.7752)	Prec@1 29.688 (33.955)	Prec@5 67.969 (64.277)
Epoch: [13][13050/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.7437 (2.7752)	Prec@1 36.719 (33.955)	Prec@5 61.719 (64.275)
Epoch: [13][13060/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.7077 (2.7753)	Prec@1 30.469 (33.955)	Prec@5 65.625 (64.274)
Epoch: [13][13070/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.9389 (2.7753)	Prec@1 29.688 (33.954)	Prec@5 60.938 (64.274)
Epoch: [13][13080/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.5757 (2.7753)	Prec@1 32.812 (33.953)	Prec@5 67.188 (64.274)
Epoch: [13][13090/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.9532 (2.7753)	Prec@1 34.375 (33.953)	Prec@5 60.938 (64.272)
Epoch: [13][13100/14090]	Time 0.830 (0.765)	Data 0.001 (0.001)	Loss 2.5584 (2.7753)	Prec@1 37.500 (33.954)	Prec@5 71.875 (64.274)
Epoch: [13][13110/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.5875 (2.7753)	Prec@1 39.062 (33.955)	Prec@5 67.969 (64.274)
Epoch: [13][13120/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.9957 (2.7753)	Prec@1 28.906 (33.955)	Prec@5 59.375 (64.274)
Epoch: [13][13130/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.7738 (2.7752)	Prec@1 31.250 (33.954)	Prec@5 71.094 (64.275)
Epoch: [13][13140/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.8341 (2.7752)	Prec@1 32.812 (33.954)	Prec@5 61.719 (64.276)
Epoch: [13][13150/14090]	Time 0.741 (0.765)	Data 0.002 (0.001)	Loss 2.5856 (2.7752)	Prec@1 37.500 (33.956)	Prec@5 67.188 (64.275)
Epoch: [13][13160/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.8358 (2.7752)	Prec@1 32.812 (33.957)	Prec@5 63.281 (64.275)
Epoch: [13][13170/14090]	Time 0.874 (0.765)	Data 0.001 (0.001)	Loss 2.6976 (2.7752)	Prec@1 35.156 (33.958)	Prec@5 62.500 (64.276)
Epoch: [13][13180/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.7922 (2.7751)	Prec@1 33.594 (33.958)	Prec@5 62.500 (64.275)
Epoch: [13][13190/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.8220 (2.7751)	Prec@1 36.719 (33.958)	Prec@5 65.625 (64.276)
Epoch: [13][13200/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 3.3752 (2.7752)	Prec@1 22.656 (33.958)	Prec@5 53.906 (64.276)
Epoch: [13][13210/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.6380 (2.7752)	Prec@1 37.500 (33.957)	Prec@5 62.500 (64.275)
Epoch: [13][13220/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.6590 (2.7752)	Prec@1 34.375 (33.958)	Prec@5 67.188 (64.275)
Epoch: [13][13230/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.4964 (2.7752)	Prec@1 36.719 (33.958)	Prec@5 69.531 (64.275)
Epoch: [13][13240/14090]	Time 0.803 (0.765)	Data 0.001 (0.001)	Loss 2.7379 (2.7752)	Prec@1 36.719 (33.959)	Prec@5 66.406 (64.274)
Epoch: [13][13250/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.8731 (2.7752)	Prec@1 29.688 (33.958)	Prec@5 65.625 (64.273)
Epoch: [13][13260/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 3.0657 (2.7753)	Prec@1 25.000 (33.957)	Prec@5 59.375 (64.272)
Epoch: [13][13270/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.7038 (2.7753)	Prec@1 33.594 (33.957)	Prec@5 64.844 (64.273)
Epoch: [13][13280/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.9288 (2.7753)	Prec@1 33.594 (33.958)	Prec@5 65.625 (64.272)
Epoch: [13][13290/14090]	Time 0.753 (0.765)	Data 0.002 (0.001)	Loss 2.8775 (2.7753)	Prec@1 35.156 (33.958)	Prec@5 59.375 (64.272)
Epoch: [13][13300/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.6714 (2.7753)	Prec@1 35.938 (33.959)	Prec@5 66.406 (64.272)
Epoch: [13][13310/14090]	Time 0.997 (0.765)	Data 0.001 (0.001)	Loss 2.8534 (2.7753)	Prec@1 32.031 (33.959)	Prec@5 65.625 (64.271)
Epoch: [13][13320/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.9354 (2.7753)	Prec@1 24.219 (33.959)	Prec@5 58.594 (64.271)
Epoch: [13][13330/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.6315 (2.7753)	Prec@1 34.375 (33.958)	Prec@5 65.625 (64.270)
Epoch: [13][13340/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.5545 (2.7753)	Prec@1 33.594 (33.958)	Prec@5 67.188 (64.267)
Epoch: [13][13350/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.7609 (2.7753)	Prec@1 35.938 (33.958)	Prec@5 61.719 (64.267)
Epoch: [13][13360/14090]	Time 0.728 (0.765)	Data 0.000 (0.001)	Loss 2.5999 (2.7753)	Prec@1 33.594 (33.959)	Prec@5 66.406 (64.268)
Epoch: [13][13370/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.8407 (2.7752)	Prec@1 36.719 (33.959)	Prec@5 64.844 (64.270)
Epoch: [13][13380/14090]	Time 0.875 (0.765)	Data 0.001 (0.001)	Loss 2.8213 (2.7752)	Prec@1 28.125 (33.959)	Prec@5 61.719 (64.271)
Epoch: [13][13390/14090]	Time 0.771 (0.765)	Data 0.001 (0.001)	Loss 2.5606 (2.7752)	Prec@1 41.406 (33.959)	Prec@5 68.750 (64.271)
Epoch: [13][13400/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.6680 (2.7751)	Prec@1 33.594 (33.960)	Prec@5 63.281 (64.274)
Epoch: [13][13410/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.6169 (2.7751)	Prec@1 46.094 (33.961)	Prec@5 66.406 (64.273)
Epoch: [13][13420/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.5540 (2.7751)	Prec@1 35.156 (33.960)	Prec@5 72.656 (64.273)
Epoch: [13][13430/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.9219 (2.7751)	Prec@1 25.781 (33.959)	Prec@5 58.594 (64.272)
Epoch: [13][13440/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.4521 (2.7750)	Prec@1 41.406 (33.961)	Prec@5 73.438 (64.274)
Epoch: [13][13450/14090]	Time 0.819 (0.765)	Data 0.001 (0.001)	Loss 2.7169 (2.7750)	Prec@1 34.375 (33.962)	Prec@5 58.594 (64.274)
Epoch: [13][13460/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.4050 (2.7750)	Prec@1 42.969 (33.961)	Prec@5 74.219 (64.274)
Epoch: [13][13470/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.6906 (2.7750)	Prec@1 38.281 (33.962)	Prec@5 64.844 (64.276)
Epoch: [13][13480/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.8685 (2.7751)	Prec@1 32.031 (33.961)	Prec@5 60.156 (64.275)
Epoch: [13][13490/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.9885 (2.7751)	Prec@1 30.469 (33.960)	Prec@5 60.156 (64.274)
Epoch: [13][13500/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.6447 (2.7750)	Prec@1 38.281 (33.961)	Prec@5 67.969 (64.275)
Epoch: [13][13510/14090]	Time 0.776 (0.765)	Data 0.001 (0.001)	Loss 2.6871 (2.7750)	Prec@1 32.812 (33.962)	Prec@5 64.844 (64.275)
Epoch: [13][13520/14090]	Time 0.815 (0.765)	Data 0.001 (0.001)	Loss 2.7038 (2.7750)	Prec@1 29.688 (33.961)	Prec@5 64.062 (64.274)
Epoch: [13][13530/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.7388 (2.7750)	Prec@1 33.594 (33.963)	Prec@5 64.062 (64.274)
Epoch: [13][13540/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.8849 (2.7750)	Prec@1 33.594 (33.963)	Prec@5 60.938 (64.274)
Epoch: [13][13550/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 3.0321 (2.7751)	Prec@1 25.000 (33.962)	Prec@5 57.031 (64.272)
Epoch: [13][13560/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.8411 (2.7751)	Prec@1 32.031 (33.961)	Prec@5 59.375 (64.271)
Epoch: [13][13570/14090]	Time 0.768 (0.765)	Data 0.001 (0.001)	Loss 3.0210 (2.7751)	Prec@1 31.250 (33.960)	Prec@5 55.469 (64.271)
Epoch: [13][13580/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 3.0781 (2.7752)	Prec@1 28.906 (33.957)	Prec@5 58.594 (64.270)
Epoch: [13][13590/14090]	Time 0.877 (0.765)	Data 0.001 (0.001)	Loss 2.6900 (2.7752)	Prec@1 39.844 (33.957)	Prec@5 68.750 (64.271)
Epoch: [13][13600/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.7081 (2.7752)	Prec@1 34.375 (33.955)	Prec@5 66.406 (64.269)
Epoch: [13][13610/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.4972 (2.7752)	Prec@1 42.188 (33.957)	Prec@5 67.969 (64.268)
Epoch: [13][13620/14090]	Time 0.772 (0.765)	Data 0.001 (0.001)	Loss 2.7802 (2.7752)	Prec@1 31.250 (33.957)	Prec@5 68.750 (64.269)
Epoch: [13][13630/14090]	Time 0.770 (0.765)	Data 0.001 (0.001)	Loss 2.6358 (2.7753)	Prec@1 39.062 (33.955)	Prec@5 64.844 (64.269)
Epoch: [13][13640/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.7123 (2.7753)	Prec@1 39.062 (33.956)	Prec@5 65.625 (64.269)
Epoch: [13][13650/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.6406 (2.7752)	Prec@1 33.594 (33.954)	Prec@5 66.406 (64.269)
Epoch: [13][13660/14090]	Time 0.839 (0.765)	Data 0.001 (0.001)	Loss 2.6294 (2.7752)	Prec@1 39.844 (33.955)	Prec@5 64.062 (64.269)
Epoch: [13][13670/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.7278 (2.7753)	Prec@1 35.156 (33.953)	Prec@5 64.844 (64.267)
Epoch: [13][13680/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.7980 (2.7752)	Prec@1 33.594 (33.954)	Prec@5 66.406 (64.268)
Epoch: [13][13690/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.7262 (2.7753)	Prec@1 35.938 (33.953)	Prec@5 68.750 (64.269)
Epoch: [13][13700/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.8507 (2.7753)	Prec@1 34.375 (33.953)	Prec@5 60.938 (64.267)
Epoch: [13][13710/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.7791 (2.7752)	Prec@1 33.594 (33.954)	Prec@5 60.156 (64.269)
Epoch: [13][13720/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.8605 (2.7752)	Prec@1 25.781 (33.955)	Prec@5 62.500 (64.270)
Epoch: [13][13730/14090]	Time 0.849 (0.765)	Data 0.001 (0.001)	Loss 3.0805 (2.7752)	Prec@1 27.344 (33.953)	Prec@5 63.281 (64.270)
Epoch: [13][13740/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.6972 (2.7752)	Prec@1 35.156 (33.954)	Prec@5 64.844 (64.270)
Epoch: [13][13750/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.6908 (2.7753)	Prec@1 32.031 (33.952)	Prec@5 63.281 (64.270)
Epoch: [13][13760/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.5939 (2.7752)	Prec@1 34.375 (33.952)	Prec@5 68.750 (64.270)
Epoch: [13][13770/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.4551 (2.7752)	Prec@1 41.406 (33.954)	Prec@5 68.750 (64.271)
Epoch: [13][13780/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.4479 (2.7752)	Prec@1 38.281 (33.954)	Prec@5 70.312 (64.271)
Epoch: [13][13790/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.8022 (2.7752)	Prec@1 26.562 (33.953)	Prec@5 63.281 (64.270)
Epoch: [13][13800/14090]	Time 0.862 (0.765)	Data 0.001 (0.001)	Loss 3.1832 (2.7752)	Prec@1 27.344 (33.953)	Prec@5 60.938 (64.270)
Epoch: [13][13810/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.4229 (2.7752)	Prec@1 41.406 (33.954)	Prec@5 73.438 (64.271)
Epoch: [13][13820/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.7692 (2.7752)	Prec@1 34.375 (33.953)	Prec@5 58.594 (64.272)
Epoch: [13][13830/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.8001 (2.7752)	Prec@1 36.719 (33.952)	Prec@5 64.844 (64.269)
Epoch: [13][13840/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.6906 (2.7752)	Prec@1 37.500 (33.953)	Prec@5 65.625 (64.269)
Epoch: [13][13850/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.7830 (2.7753)	Prec@1 33.594 (33.952)	Prec@5 64.844 (64.268)
Epoch: [13][13860/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.9027 (2.7752)	Prec@1 30.469 (33.952)	Prec@5 65.625 (64.269)
Epoch: [13][13870/14090]	Time 0.861 (0.765)	Data 0.001 (0.001)	Loss 2.6129 (2.7752)	Prec@1 32.812 (33.951)	Prec@5 70.312 (64.271)
Epoch: [13][13880/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.7261 (2.7752)	Prec@1 35.156 (33.950)	Prec@5 65.625 (64.271)
Epoch: [13][13890/14090]	Time 0.767 (0.765)	Data 0.001 (0.001)	Loss 2.4748 (2.7751)	Prec@1 41.406 (33.952)	Prec@5 69.531 (64.273)
Epoch: [13][13900/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.7823 (2.7751)	Prec@1 28.125 (33.952)	Prec@5 62.500 (64.274)
Epoch: [13][13910/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.9974 (2.7751)	Prec@1 32.812 (33.952)	Prec@5 57.812 (64.275)
Epoch: [13][13920/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 3.1320 (2.7751)	Prec@1 28.906 (33.951)	Prec@5 54.688 (64.274)
Epoch: [13][13930/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.7032 (2.7750)	Prec@1 30.469 (33.952)	Prec@5 67.188 (64.275)
Epoch: [13][13940/14090]	Time 0.864 (0.765)	Data 0.001 (0.001)	Loss 3.1937 (2.7751)	Prec@1 26.562 (33.951)	Prec@5 53.906 (64.273)
Epoch: [13][13950/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.8722 (2.7751)	Prec@1 34.375 (33.951)	Prec@5 66.406 (64.275)
Epoch: [13][13960/14090]	Time 0.776 (0.765)	Data 0.001 (0.001)	Loss 2.9815 (2.7751)	Prec@1 32.812 (33.952)	Prec@5 57.031 (64.274)
Epoch: [13][13970/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.6699 (2.7752)	Prec@1 27.344 (33.951)	Prec@5 64.844 (64.272)
Epoch: [13][13980/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.8268 (2.7752)	Prec@1 39.062 (33.951)	Prec@5 65.625 (64.272)
Epoch: [13][13990/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.8172 (2.7752)	Prec@1 36.719 (33.953)	Prec@5 62.500 (64.271)
Epoch: [13][14000/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.5099 (2.7751)	Prec@1 37.500 (33.954)	Prec@5 68.750 (64.272)
Epoch: [13][14010/14090]	Time 0.862 (0.765)	Data 0.001 (0.001)	Loss 2.8041 (2.7751)	Prec@1 35.156 (33.955)	Prec@5 63.281 (64.273)
Epoch: [13][14020/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.8992 (2.7750)	Prec@1 33.594 (33.958)	Prec@5 67.969 (64.274)
Epoch: [13][14030/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.3844 (2.7750)	Prec@1 42.188 (33.959)	Prec@5 71.094 (64.274)
Epoch: [13][14040/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.9457 (2.7750)	Prec@1 31.250 (33.958)	Prec@5 62.500 (64.274)
Epoch: [13][14050/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.8026 (2.7750)	Prec@1 32.031 (33.959)	Prec@5 64.062 (64.276)
Epoch: [13][14060/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.7867 (2.7750)	Prec@1 33.594 (33.960)	Prec@5 62.500 (64.277)
Epoch: [13][14070/14090]	Time 0.783 (0.765)	Data 0.001 (0.001)	Loss 2.5827 (2.7750)	Prec@1 32.812 (33.959)	Prec@5 67.969 (64.278)
Epoch: [13][14080/14090]	Time 0.840 (0.765)	Data 0.000 (0.001)	Loss 2.6750 (2.7750)	Prec@1 42.188 (33.959)	Prec@5 66.406 (64.277)
Test: [0/286]	Time 3.170 (3.170)	Loss 1.5050 (1.5050)	Prec@1 67.969 (67.969)	Prec@5 89.062 (89.062)
Test: [10/286]	Time 0.235 (0.515)	Loss 2.9020 (2.7524)	Prec@1 26.562 (35.795)	Prec@5 71.094 (67.330)
Test: [20/286]	Time 0.232 (0.399)	Loss 2.9122 (2.7164)	Prec@1 31.250 (36.272)	Prec@5 62.500 (67.560)
Test: [30/286]	Time 0.328 (0.353)	Loss 2.4961 (2.5252)	Prec@1 32.812 (39.667)	Prec@5 70.312 (70.388)
Test: [40/286]	Time 0.368 (0.332)	Loss 2.3564 (2.5717)	Prec@1 34.375 (38.548)	Prec@5 78.125 (69.188)
Test: [50/286]	Time 0.239 (0.319)	Loss 1.1649 (2.5431)	Prec@1 75.781 (38.787)	Prec@5 87.500 (69.899)
Test: [60/286]	Time 0.263 (0.309)	Loss 3.6470 (2.5894)	Prec@1 22.656 (38.371)	Prec@5 45.312 (68.430)
Test: [70/286]	Time 0.239 (0.300)	Loss 1.5525 (2.5755)	Prec@1 64.062 (38.380)	Prec@5 84.375 (68.640)
Test: [80/286]	Time 0.298 (0.298)	Loss 3.1349 (2.5874)	Prec@1 27.344 (37.731)	Prec@5 60.938 (68.480)
Test: [90/286]	Time 0.236 (0.294)	Loss 2.6970 (2.5941)	Prec@1 30.469 (37.285)	Prec@5 66.406 (68.415)
Test: [100/286]	Time 0.241 (0.291)	Loss 2.4018 (2.6224)	Prec@1 46.094 (36.440)	Prec@5 72.656 (68.023)
Test: [110/286]	Time 0.234 (0.288)	Loss 2.3455 (2.6148)	Prec@1 39.844 (36.522)	Prec@5 69.531 (68.307)
Test: [120/286]	Time 0.238 (0.286)	Loss 2.3306 (2.5672)	Prec@1 46.875 (37.597)	Prec@5 71.094 (69.260)
Test: [130/286]	Time 0.235 (0.285)	Loss 1.8199 (2.5469)	Prec@1 50.000 (37.846)	Prec@5 85.938 (69.841)
Test: [140/286]	Time 0.265 (0.284)	Loss 3.2979 (2.5377)	Prec@1 30.469 (38.159)	Prec@5 53.906 (69.980)
Test: [150/286]	Time 0.241 (0.282)	Loss 3.3763 (2.5424)	Prec@1 14.844 (37.598)	Prec@5 58.594 (70.111)
Test: [160/286]	Time 0.275 (0.281)	Loss 3.1056 (2.5371)	Prec@1 21.094 (37.772)	Prec@5 64.844 (70.254)
Test: [170/286]	Time 0.252 (0.279)	Loss 3.5381 (2.5290)	Prec@1 15.625 (37.829)	Prec@5 50.781 (70.445)
Test: [180/286]	Time 0.228 (0.279)	Loss 2.5116 (2.5471)	Prec@1 42.188 (37.530)	Prec@5 68.750 (70.045)
Test: [190/286]	Time 0.232 (0.278)	Loss 3.3013 (2.5530)	Prec@1 10.156 (37.443)	Prec@5 55.469 (69.912)
Test: [200/286]	Time 0.238 (0.277)	Loss 2.2670 (2.5411)	Prec@1 46.875 (37.714)	Prec@5 79.688 (70.130)
Test: [210/286]	Time 0.244 (0.277)	Loss 2.9774 (2.5539)	Prec@1 28.906 (37.356)	Prec@5 66.406 (69.990)
Test: [220/286]	Time 0.233 (0.276)	Loss 3.4731 (2.5619)	Prec@1 13.281 (37.313)	Prec@5 53.125 (69.719)
Test: [230/286]	Time 0.250 (0.276)	Loss 1.8781 (2.5663)	Prec@1 55.469 (37.246)	Prec@5 76.562 (69.589)
Test: [240/286]	Time 0.264 (0.276)	Loss 2.9923 (2.5660)	Prec@1 33.594 (37.425)	Prec@5 60.938 (69.648)
Test: [250/286]	Time 0.264 (0.275)	Loss 2.6949 (2.5582)	Prec@1 31.250 (37.382)	Prec@5 67.188 (69.948)
Test: [260/286]	Time 0.244 (0.274)	Loss 2.6925 (2.5500)	Prec@1 36.719 (37.548)	Prec@5 65.625 (70.097)
Test: [270/286]	Time 0.320 (0.274)	Loss 2.7179 (2.5548)	Prec@1 30.469 (37.359)	Prec@5 72.656 (70.093)
Test: [280/286]	Time 0.230 (0.273)	Loss 2.3253 (2.5360)	Prec@1 37.500 (37.814)	Prec@5 76.562 (70.346)
 * Prec@1 38.020 Prec@5 70.462
Epoch: [14][0/14090]	Time 4.612 (4.612)	Data 3.836 (3.836)	Loss 2.7300 (2.7300)	Prec@1 34.375 (34.375)	Prec@5 64.062 (64.062)
Epoch: [14][10/14090]	Time 0.721 (1.104)	Data 0.001 (0.349)	Loss 2.6047 (2.6817)	Prec@1 41.406 (37.358)	Prec@5 65.625 (66.406)
Epoch: [14][20/14090]	Time 0.733 (0.936)	Data 0.001 (0.183)	Loss 2.8373 (2.6971)	Prec@1 36.719 (36.682)	Prec@5 58.594 (64.658)
Epoch: [14][30/14090]	Time 0.752 (0.881)	Data 0.001 (0.125)	Loss 3.1014 (2.7422)	Prec@1 29.688 (35.282)	Prec@5 55.469 (64.113)
Epoch: [14][40/14090]	Time 0.738 (0.850)	Data 0.001 (0.094)	Loss 2.4373 (2.7308)	Prec@1 38.281 (35.480)	Prec@5 71.875 (64.729)
Epoch: [14][50/14090]	Time 0.869 (0.835)	Data 0.001 (0.076)	Loss 2.6509 (2.7327)	Prec@1 38.281 (35.447)	Prec@5 63.281 (64.537)
Epoch: [14][60/14090]	Time 0.726 (0.823)	Data 0.001 (0.064)	Loss 3.0416 (2.7487)	Prec@1 28.125 (34.926)	Prec@5 59.375 (64.152)
Epoch: [14][70/14090]	Time 0.739 (0.815)	Data 0.001 (0.055)	Loss 2.8664 (2.7549)	Prec@1 30.469 (34.804)	Prec@5 58.594 (64.007)
Epoch: [14][80/14090]	Time 0.736 (0.809)	Data 0.001 (0.048)	Loss 2.6757 (2.7540)	Prec@1 35.938 (34.751)	Prec@5 67.969 (63.899)
Epoch: [14][90/14090]	Time 0.752 (0.804)	Data 0.001 (0.043)	Loss 3.0694 (2.7700)	Prec@1 28.125 (34.452)	Prec@5 62.500 (63.642)
Epoch: [14][100/14090]	Time 0.757 (0.801)	Data 0.001 (0.039)	Loss 2.9208 (2.7726)	Prec@1 35.156 (34.476)	Prec@5 56.250 (63.583)
Epoch: [14][110/14090]	Time 0.732 (0.798)	Data 0.001 (0.035)	Loss 2.7305 (2.7635)	Prec@1 38.281 (34.579)	Prec@5 60.938 (63.746)
Epoch: [14][120/14090]	Time 0.875 (0.796)	Data 0.001 (0.033)	Loss 2.6067 (2.7696)	Prec@1 36.719 (34.401)	Prec@5 67.188 (63.669)
Epoch: [14][130/14090]	Time 0.776 (0.794)	Data 0.001 (0.030)	Loss 2.7531 (2.7671)	Prec@1 38.281 (34.542)	Prec@5 64.062 (63.776)
Epoch: [14][140/14090]	Time 0.754 (0.792)	Data 0.001 (0.028)	Loss 2.6926 (2.7645)	Prec@1 38.281 (34.514)	Prec@5 61.719 (63.891)
Epoch: [14][150/14090]	Time 0.749 (0.790)	Data 0.001 (0.026)	Loss 2.8404 (2.7674)	Prec@1 35.938 (34.432)	Prec@5 63.281 (63.850)
Epoch: [14][160/14090]	Time 0.786 (0.789)	Data 0.001 (0.025)	Loss 2.5921 (2.7683)	Prec@1 36.719 (34.326)	Prec@5 70.312 (63.834)
Epoch: [14][170/14090]	Time 0.727 (0.788)	Data 0.002 (0.023)	Loss 2.6205 (2.7695)	Prec@1 42.969 (34.384)	Prec@5 67.188 (63.875)
Epoch: [14][180/14090]	Time 0.776 (0.786)	Data 0.001 (0.022)	Loss 2.6659 (2.7715)	Prec@1 34.375 (34.276)	Prec@5 66.406 (63.851)
Epoch: [14][190/14090]	Time 0.814 (0.786)	Data 0.001 (0.021)	Loss 2.8435 (2.7729)	Prec@1 31.250 (34.232)	Prec@5 63.281 (63.838)
Epoch: [14][200/14090]	Time 0.766 (0.784)	Data 0.001 (0.020)	Loss 2.8793 (2.7694)	Prec@1 35.156 (34.251)	Prec@5 60.938 (63.993)
Epoch: [14][210/14090]	Time 0.762 (0.783)	Data 0.001 (0.019)	Loss 2.5039 (2.7667)	Prec@1 38.281 (34.327)	Prec@5 67.969 (64.033)
Epoch: [14][220/14090]	Time 0.734 (0.783)	Data 0.001 (0.018)	Loss 2.9756 (2.7671)	Prec@1 31.250 (34.343)	Prec@5 57.812 (63.985)
Epoch: [14][230/14090]	Time 0.783 (0.782)	Data 0.001 (0.017)	Loss 2.6060 (2.7704)	Prec@1 41.406 (34.328)	Prec@5 65.625 (63.920)
Epoch: [14][240/14090]	Time 0.757 (0.782)	Data 0.001 (0.017)	Loss 2.7165 (2.7694)	Prec@1 34.375 (34.268)	Prec@5 64.844 (64.056)
Epoch: [14][250/14090]	Time 0.740 (0.781)	Data 0.001 (0.016)	Loss 2.5293 (2.7671)	Prec@1 43.750 (34.288)	Prec@5 68.750 (64.081)
Epoch: [14][260/14090]	Time 0.885 (0.781)	Data 0.001 (0.016)	Loss 3.0010 (2.7652)	Prec@1 27.344 (34.321)	Prec@5 60.156 (64.134)
Epoch: [14][270/14090]	Time 0.726 (0.780)	Data 0.001 (0.015)	Loss 2.4917 (2.7665)	Prec@1 37.500 (34.260)	Prec@5 66.406 (64.123)
Epoch: [14][280/14090]	Time 0.734 (0.779)	Data 0.001 (0.014)	Loss 2.8765 (2.7672)	Prec@1 35.938 (34.264)	Prec@5 60.156 (64.115)
Epoch: [14][290/14090]	Time 0.736 (0.779)	Data 0.001 (0.014)	Loss 2.5617 (2.7629)	Prec@1 36.719 (34.327)	Prec@5 70.312 (64.197)
Epoch: [14][300/14090]	Time 0.725 (0.779)	Data 0.001 (0.014)	Loss 2.4515 (2.7604)	Prec@1 47.656 (34.354)	Prec@5 71.094 (64.265)
Epoch: [14][310/14090]	Time 0.726 (0.778)	Data 0.001 (0.013)	Loss 2.7601 (2.7598)	Prec@1 33.594 (34.325)	Prec@5 67.969 (64.299)
Epoch: [14][320/14090]	Time 0.742 (0.778)	Data 0.001 (0.013)	Loss 2.8447 (2.7619)	Prec@1 32.031 (34.280)	Prec@5 62.500 (64.279)
Epoch: [14][330/14090]	Time 0.843 (0.778)	Data 0.001 (0.012)	Loss 2.7486 (2.7626)	Prec@1 32.031 (34.318)	Prec@5 67.969 (64.317)
Epoch: [14][340/14090]	Time 0.733 (0.777)	Data 0.001 (0.012)	Loss 2.6460 (2.7606)	Prec@1 38.281 (34.409)	Prec@5 65.625 (64.349)
Epoch: [14][350/14090]	Time 0.731 (0.776)	Data 0.001 (0.012)	Loss 2.5678 (2.7578)	Prec@1 34.375 (34.484)	Prec@5 67.188 (64.392)
Epoch: [14][360/14090]	Time 0.744 (0.776)	Data 0.001 (0.011)	Loss 2.6756 (2.7541)	Prec@1 35.938 (34.505)	Prec@5 67.188 (64.493)
Epoch: [14][370/14090]	Time 0.765 (0.776)	Data 0.001 (0.011)	Loss 2.6552 (2.7553)	Prec@1 31.250 (34.474)	Prec@5 71.094 (64.456)
Epoch: [14][380/14090]	Time 0.732 (0.776)	Data 0.001 (0.011)	Loss 2.6525 (2.7555)	Prec@1 31.250 (34.461)	Prec@5 69.531 (64.479)
Epoch: [14][390/14090]	Time 0.762 (0.775)	Data 0.001 (0.011)	Loss 2.4796 (2.7559)	Prec@1 35.938 (34.445)	Prec@5 70.312 (64.462)
Epoch: [14][400/14090]	Time 0.801 (0.775)	Data 0.001 (0.010)	Loss 2.8626 (2.7561)	Prec@1 31.250 (34.424)	Prec@5 58.594 (64.468)
Epoch: [14][410/14090]	Time 0.737 (0.775)	Data 0.001 (0.010)	Loss 2.7012 (2.7546)	Prec@1 36.719 (34.453)	Prec@5 66.406 (64.473)
Epoch: [14][420/14090]	Time 0.758 (0.774)	Data 0.001 (0.010)	Loss 2.6544 (2.7546)	Prec@1 30.469 (34.451)	Prec@5 64.062 (64.471)
Epoch: [14][430/14090]	Time 0.731 (0.774)	Data 0.001 (0.010)	Loss 2.8251 (2.7556)	Prec@1 35.938 (34.477)	Prec@5 60.938 (64.458)
Epoch: [14][440/14090]	Time 0.734 (0.774)	Data 0.001 (0.010)	Loss 2.4394 (2.7545)	Prec@1 38.281 (34.510)	Prec@5 69.531 (64.493)
Epoch: [14][450/14090]	Time 0.766 (0.774)	Data 0.001 (0.009)	Loss 2.5736 (2.7528)	Prec@1 28.906 (34.514)	Prec@5 70.312 (64.506)
Epoch: [14][460/14090]	Time 0.748 (0.773)	Data 0.001 (0.009)	Loss 2.9152 (2.7521)	Prec@1 27.344 (34.497)	Prec@5 63.281 (64.539)
Epoch: [14][470/14090]	Time 0.866 (0.773)	Data 0.001 (0.009)	Loss 2.8679 (2.7528)	Prec@1 35.938 (34.511)	Prec@5 62.500 (64.512)
Epoch: [14][480/14090]	Time 0.747 (0.773)	Data 0.001 (0.009)	Loss 2.6143 (2.7513)	Prec@1 39.844 (34.505)	Prec@5 67.188 (64.564)
Epoch: [14][490/14090]	Time 0.737 (0.773)	Data 0.001 (0.009)	Loss 2.6883 (2.7515)	Prec@1 32.031 (34.469)	Prec@5 64.062 (64.559)
Epoch: [14][500/14090]	Time 0.773 (0.773)	Data 0.001 (0.008)	Loss 2.7821 (2.7527)	Prec@1 36.719 (34.436)	Prec@5 61.719 (64.551)
Epoch: [14][510/14090]	Time 0.757 (0.772)	Data 0.001 (0.008)	Loss 2.5807 (2.7521)	Prec@1 32.812 (34.418)	Prec@5 65.625 (64.562)
Epoch: [14][520/14090]	Time 0.749 (0.772)	Data 0.001 (0.008)	Loss 2.9349 (2.7544)	Prec@1 29.688 (34.376)	Prec@5 60.156 (64.521)
Epoch: [14][530/14090]	Time 0.756 (0.772)	Data 0.001 (0.008)	Loss 2.9189 (2.7567)	Prec@1 33.594 (34.343)	Prec@5 58.594 (64.501)
Epoch: [14][540/14090]	Time 0.822 (0.772)	Data 0.001 (0.008)	Loss 2.6711 (2.7559)	Prec@1 39.062 (34.369)	Prec@5 69.531 (64.526)
Epoch: [14][550/14090]	Time 0.762 (0.772)	Data 0.001 (0.008)	Loss 2.9611 (2.7569)	Prec@1 29.688 (34.334)	Prec@5 58.594 (64.520)
Epoch: [14][560/14090]	Time 0.755 (0.772)	Data 0.001 (0.008)	Loss 2.7335 (2.7586)	Prec@1 42.188 (34.343)	Prec@5 64.844 (64.477)
Epoch: [14][570/14090]	Time 0.744 (0.772)	Data 0.001 (0.008)	Loss 2.6954 (2.7583)	Prec@1 34.375 (34.331)	Prec@5 63.281 (64.470)
Epoch: [14][580/14090]	Time 0.774 (0.772)	Data 0.001 (0.007)	Loss 2.5461 (2.7570)	Prec@1 35.938 (34.316)	Prec@5 69.531 (64.478)
Epoch: [14][590/14090]	Time 0.747 (0.771)	Data 0.001 (0.007)	Loss 2.8107 (2.7563)	Prec@1 35.938 (34.338)	Prec@5 60.156 (64.501)
Epoch: [14][600/14090]	Time 0.738 (0.771)	Data 0.001 (0.007)	Loss 2.7349 (2.7576)	Prec@1 30.469 (34.302)	Prec@5 68.750 (64.473)
Epoch: [14][610/14090]	Time 0.868 (0.771)	Data 0.001 (0.007)	Loss 2.8414 (2.7559)	Prec@1 37.500 (34.321)	Prec@5 62.500 (64.504)
Epoch: [14][620/14090]	Time 0.741 (0.771)	Data 0.001 (0.007)	Loss 2.6369 (2.7559)	Prec@1 39.844 (34.366)	Prec@5 62.500 (64.484)
Epoch: [14][630/14090]	Time 0.778 (0.771)	Data 0.001 (0.007)	Loss 2.6896 (2.7569)	Prec@1 30.469 (34.339)	Prec@5 71.875 (64.476)
Epoch: [14][640/14090]	Time 0.740 (0.771)	Data 0.001 (0.007)	Loss 3.0619 (2.7577)	Prec@1 28.906 (34.301)	Prec@5 60.156 (64.483)
Epoch: [14][650/14090]	Time 0.741 (0.771)	Data 0.001 (0.007)	Loss 2.9137 (2.7585)	Prec@1 31.250 (34.285)	Prec@5 62.500 (64.455)
Epoch: [14][660/14090]	Time 0.743 (0.771)	Data 0.001 (0.007)	Loss 2.9656 (2.7583)	Prec@1 29.688 (34.279)	Prec@5 57.031 (64.476)
Epoch: [14][670/14090]	Time 0.726 (0.771)	Data 0.001 (0.007)	Loss 2.6085 (2.7583)	Prec@1 35.156 (34.273)	Prec@5 63.281 (64.470)
Epoch: [14][680/14090]	Time 0.872 (0.771)	Data 0.001 (0.006)	Loss 2.8801 (2.7584)	Prec@1 30.469 (34.264)	Prec@5 60.938 (64.450)
Epoch: [14][690/14090]	Time 0.735 (0.771)	Data 0.001 (0.006)	Loss 2.9697 (2.7593)	Prec@1 30.469 (34.239)	Prec@5 60.938 (64.441)
Epoch: [14][700/14090]	Time 0.734 (0.771)	Data 0.001 (0.006)	Loss 2.9896 (2.7589)	Prec@1 29.688 (34.249)	Prec@5 53.906 (64.441)
Epoch: [14][710/14090]	Time 0.742 (0.771)	Data 0.001 (0.006)	Loss 2.6987 (2.7602)	Prec@1 37.500 (34.244)	Prec@5 67.188 (64.426)
Epoch: [14][720/14090]	Time 0.777 (0.771)	Data 0.001 (0.006)	Loss 2.8964 (2.7611)	Prec@1 37.500 (34.244)	Prec@5 63.281 (64.447)
Epoch: [14][730/14090]	Time 0.745 (0.771)	Data 0.001 (0.006)	Loss 2.6390 (2.7623)	Prec@1 46.094 (34.208)	Prec@5 71.094 (64.428)
Epoch: [14][740/14090]	Time 0.760 (0.771)	Data 0.001 (0.006)	Loss 3.0726 (2.7622)	Prec@1 29.688 (34.202)	Prec@5 57.031 (64.436)
Epoch: [14][750/14090]	Time 0.892 (0.771)	Data 0.001 (0.006)	Loss 2.5992 (2.7618)	Prec@1 42.188 (34.210)	Prec@5 70.312 (64.454)
Epoch: [14][760/14090]	Time 0.779 (0.771)	Data 0.001 (0.006)	Loss 2.4163 (2.7602)	Prec@1 40.625 (34.256)	Prec@5 66.406 (64.485)
Epoch: [14][770/14090]	Time 0.734 (0.770)	Data 0.001 (0.006)	Loss 2.9607 (2.7613)	Prec@1 29.688 (34.228)	Prec@5 60.938 (64.450)
Epoch: [14][780/14090]	Time 0.747 (0.770)	Data 0.001 (0.006)	Loss 2.9052 (2.7610)	Prec@1 31.250 (34.225)	Prec@5 65.625 (64.457)
Epoch: [14][790/14090]	Time 0.768 (0.770)	Data 0.001 (0.006)	Loss 2.7764 (2.7617)	Prec@1 31.250 (34.214)	Prec@5 63.281 (64.442)
Epoch: [14][800/14090]	Time 0.750 (0.770)	Data 0.001 (0.006)	Loss 3.0805 (2.7618)	Prec@1 36.719 (34.199)	Prec@5 61.719 (64.458)
Epoch: [14][810/14090]	Time 0.776 (0.770)	Data 0.001 (0.006)	Loss 2.8067 (2.7622)	Prec@1 39.062 (34.202)	Prec@5 63.281 (64.442)
Epoch: [14][820/14090]	Time 0.852 (0.770)	Data 0.001 (0.006)	Loss 2.7488 (2.7626)	Prec@1 31.250 (34.171)	Prec@5 62.500 (64.423)
Epoch: [14][830/14090]	Time 0.786 (0.770)	Data 0.001 (0.005)	Loss 2.6244 (2.7629)	Prec@1 36.719 (34.157)	Prec@5 68.750 (64.395)
Epoch: [14][840/14090]	Time 0.763 (0.770)	Data 0.001 (0.005)	Loss 2.6787 (2.7624)	Prec@1 30.469 (34.169)	Prec@5 64.062 (64.414)
Epoch: [14][850/14090]	Time 0.751 (0.770)	Data 0.001 (0.005)	Loss 2.4579 (2.7615)	Prec@1 39.844 (34.194)	Prec@5 70.312 (64.432)
Epoch: [14][860/14090]	Time 0.751 (0.770)	Data 0.001 (0.005)	Loss 2.7724 (2.7618)	Prec@1 41.406 (34.195)	Prec@5 65.625 (64.435)
Epoch: [14][870/14090]	Time 0.769 (0.770)	Data 0.001 (0.005)	Loss 2.3648 (2.7611)	Prec@1 40.625 (34.220)	Prec@5 69.531 (64.452)
Epoch: [14][880/14090]	Time 0.764 (0.770)	Data 0.001 (0.005)	Loss 2.8278 (2.7609)	Prec@1 30.469 (34.210)	Prec@5 61.719 (64.460)
Epoch: [14][890/14090]	Time 0.836 (0.770)	Data 0.001 (0.005)	Loss 2.6242 (2.7612)	Prec@1 36.719 (34.210)	Prec@5 68.750 (64.457)
Epoch: [14][900/14090]	Time 0.748 (0.770)	Data 0.001 (0.005)	Loss 2.6865 (2.7608)	Prec@1 32.812 (34.221)	Prec@5 67.188 (64.468)
Epoch: [14][910/14090]	Time 0.778 (0.770)	Data 0.002 (0.005)	Loss 2.6280 (2.7601)	Prec@1 32.812 (34.232)	Prec@5 70.312 (64.484)
Epoch: [14][920/14090]	Time 0.791 (0.770)	Data 0.001 (0.005)	Loss 2.8375 (2.7592)	Prec@1 30.469 (34.232)	Prec@5 64.062 (64.514)
Epoch: [14][930/14090]	Time 0.735 (0.770)	Data 0.001 (0.005)	Loss 2.8206 (2.7587)	Prec@1 35.156 (34.235)	Prec@5 61.719 (64.530)
Epoch: [14][940/14090]	Time 0.735 (0.770)	Data 0.001 (0.005)	Loss 2.7407 (2.7591)	Prec@1 35.938 (34.237)	Prec@5 61.719 (64.513)
Epoch: [14][950/14090]	Time 0.754 (0.769)	Data 0.001 (0.005)	Loss 2.9224 (2.7597)	Prec@1 28.906 (34.233)	Prec@5 64.844 (64.512)
Epoch: [14][960/14090]	Time 0.871 (0.770)	Data 0.001 (0.005)	Loss 2.8948 (2.7599)	Prec@1 35.156 (34.230)	Prec@5 61.719 (64.511)
Epoch: [14][970/14090]	Time 0.753 (0.769)	Data 0.001 (0.005)	Loss 2.9436 (2.7592)	Prec@1 28.906 (34.233)	Prec@5 63.281 (64.523)
Epoch: [14][980/14090]	Time 0.737 (0.769)	Data 0.001 (0.005)	Loss 2.7727 (2.7595)	Prec@1 31.250 (34.228)	Prec@5 64.844 (64.509)
Epoch: [14][990/14090]	Time 0.770 (0.769)	Data 0.001 (0.005)	Loss 2.6510 (2.7591)	Prec@1 35.938 (34.243)	Prec@5 64.844 (64.518)
Epoch: [14][1000/14090]	Time 0.790 (0.769)	Data 0.001 (0.005)	Loss 2.7821 (2.7591)	Prec@1 32.031 (34.235)	Prec@5 69.531 (64.521)
Epoch: [14][1010/14090]	Time 0.746 (0.769)	Data 0.001 (0.005)	Loss 2.7297 (2.7598)	Prec@1 34.375 (34.211)	Prec@5 65.625 (64.532)
Epoch: [14][1020/14090]	Time 0.758 (0.769)	Data 0.001 (0.005)	Loss 2.8262 (2.7605)	Prec@1 32.812 (34.204)	Prec@5 64.062 (64.519)
Epoch: [14][1030/14090]	Time 0.845 (0.769)	Data 0.001 (0.005)	Loss 2.7506 (2.7607)	Prec@1 35.938 (34.201)	Prec@5 64.844 (64.516)
Epoch: [14][1040/14090]	Time 0.748 (0.769)	Data 0.001 (0.005)	Loss 2.9425 (2.7604)	Prec@1 32.031 (34.215)	Prec@5 60.938 (64.517)
Epoch: [14][1050/14090]	Time 0.737 (0.769)	Data 0.001 (0.004)	Loss 3.1104 (2.7605)	Prec@1 30.469 (34.216)	Prec@5 59.375 (64.523)
Epoch: [14][1060/14090]	Time 0.747 (0.769)	Data 0.001 (0.004)	Loss 2.6674 (2.7614)	Prec@1 34.375 (34.196)	Prec@5 62.500 (64.511)
Epoch: [14][1070/14090]	Time 0.761 (0.769)	Data 0.001 (0.004)	Loss 2.6265 (2.7618)	Prec@1 39.844 (34.183)	Prec@5 70.312 (64.506)
Epoch: [14][1080/14090]	Time 0.760 (0.769)	Data 0.001 (0.004)	Loss 2.3171 (2.7610)	Prec@1 41.406 (34.181)	Prec@5 75.000 (64.534)
Epoch: [14][1090/14090]	Time 0.730 (0.769)	Data 0.001 (0.004)	Loss 2.5820 (2.7612)	Prec@1 35.938 (34.169)	Prec@5 69.531 (64.527)
Epoch: [14][1100/14090]	Time 0.876 (0.769)	Data 0.001 (0.004)	Loss 2.7947 (2.7617)	Prec@1 38.281 (34.183)	Prec@5 66.406 (64.523)
Epoch: [14][1110/14090]	Time 0.732 (0.769)	Data 0.001 (0.004)	Loss 2.8755 (2.7621)	Prec@1 31.250 (34.176)	Prec@5 62.500 (64.522)
Epoch: [14][1120/14090]	Time 0.740 (0.769)	Data 0.001 (0.004)	Loss 2.7112 (2.7622)	Prec@1 41.406 (34.185)	Prec@5 63.281 (64.521)
Epoch: [14][1130/14090]	Time 0.775 (0.769)	Data 0.001 (0.004)	Loss 2.7452 (2.7619)	Prec@1 30.469 (34.188)	Prec@5 64.844 (64.532)
Epoch: [14][1140/14090]	Time 0.736 (0.769)	Data 0.001 (0.004)	Loss 2.6071 (2.7620)	Prec@1 37.500 (34.174)	Prec@5 64.062 (64.518)
Epoch: [14][1150/14090]	Time 0.737 (0.769)	Data 0.001 (0.004)	Loss 3.1517 (2.7622)	Prec@1 32.812 (34.177)	Prec@5 60.156 (64.520)
Epoch: [14][1160/14090]	Time 0.753 (0.769)	Data 0.001 (0.004)	Loss 2.6550 (2.7614)	Prec@1 36.719 (34.189)	Prec@5 71.094 (64.545)
Epoch: [14][1170/14090]	Time 0.850 (0.769)	Data 0.001 (0.004)	Loss 3.0878 (2.7616)	Prec@1 22.656 (34.176)	Prec@5 60.156 (64.546)
Epoch: [14][1180/14090]	Time 0.731 (0.769)	Data 0.001 (0.004)	Loss 2.9546 (2.7617)	Prec@1 29.688 (34.183)	Prec@5 60.938 (64.543)
Epoch: [14][1190/14090]	Time 0.735 (0.769)	Data 0.001 (0.004)	Loss 2.5740 (2.7617)	Prec@1 33.594 (34.181)	Prec@5 67.188 (64.544)
Epoch: [14][1200/14090]	Time 0.763 (0.769)	Data 0.001 (0.004)	Loss 2.7266 (2.7611)	Prec@1 35.938 (34.190)	Prec@5 60.938 (64.562)
Epoch: [14][1210/14090]	Time 0.764 (0.768)	Data 0.001 (0.004)	Loss 2.9041 (2.7615)	Prec@1 33.594 (34.189)	Prec@5 63.281 (64.554)
Epoch: [14][1220/14090]	Time 0.736 (0.768)	Data 0.001 (0.004)	Loss 3.1362 (2.7623)	Prec@1 26.562 (34.177)	Prec@5 58.594 (64.532)
Epoch: [14][1230/14090]	Time 0.749 (0.768)	Data 0.001 (0.004)	Loss 2.8711 (2.7626)	Prec@1 31.250 (34.167)	Prec@5 66.406 (64.522)
Epoch: [14][1240/14090]	Time 0.884 (0.768)	Data 0.001 (0.004)	Loss 2.8542 (2.7630)	Prec@1 35.938 (34.157)	Prec@5 60.156 (64.512)
Epoch: [14][1250/14090]	Time 0.727 (0.768)	Data 0.001 (0.004)	Loss 2.8113 (2.7623)	Prec@1 28.906 (34.165)	Prec@5 59.375 (64.530)
Epoch: [14][1260/14090]	Time 0.733 (0.768)	Data 0.001 (0.004)	Loss 2.6916 (2.7629)	Prec@1 35.938 (34.145)	Prec@5 60.938 (64.522)
Epoch: [14][1270/14090]	Time 0.732 (0.768)	Data 0.001 (0.004)	Loss 3.0507 (2.7633)	Prec@1 33.594 (34.135)	Prec@5 57.812 (64.517)
Epoch: [14][1280/14090]	Time 0.741 (0.768)	Data 0.001 (0.004)	Loss 2.9349 (2.7636)	Prec@1 34.375 (34.129)	Prec@5 59.375 (64.504)
Epoch: [14][1290/14090]	Time 0.756 (0.768)	Data 0.001 (0.004)	Loss 2.7816 (2.7633)	Prec@1 39.062 (34.134)	Prec@5 64.844 (64.506)
Epoch: [14][1300/14090]	Time 0.756 (0.768)	Data 0.001 (0.004)	Loss 2.9311 (2.7635)	Prec@1 32.812 (34.126)	Prec@5 59.375 (64.501)
Epoch: [14][1310/14090]	Time 0.900 (0.768)	Data 0.001 (0.004)	Loss 2.8706 (2.7636)	Prec@1 30.469 (34.127)	Prec@5 62.500 (64.492)
Epoch: [14][1320/14090]	Time 0.756 (0.768)	Data 0.001 (0.004)	Loss 2.8027 (2.7640)	Prec@1 27.344 (34.112)	Prec@5 66.406 (64.487)
Epoch: [14][1330/14090]	Time 0.766 (0.768)	Data 0.001 (0.004)	Loss 2.6553 (2.7641)	Prec@1 41.406 (34.110)	Prec@5 67.188 (64.485)
Epoch: [14][1340/14090]	Time 0.774 (0.768)	Data 0.001 (0.004)	Loss 2.6235 (2.7635)	Prec@1 37.500 (34.128)	Prec@5 63.281 (64.490)
Epoch: [14][1350/14090]	Time 0.763 (0.768)	Data 0.001 (0.004)	Loss 2.7423 (2.7640)	Prec@1 35.938 (34.117)	Prec@5 65.625 (64.470)
Epoch: [14][1360/14090]	Time 0.794 (0.769)	Data 0.001 (0.004)	Loss 3.0073 (2.7635)	Prec@1 30.469 (34.135)	Prec@5 55.469 (64.481)
Epoch: [14][1370/14090]	Time 0.733 (0.768)	Data 0.001 (0.004)	Loss 3.2225 (2.7637)	Prec@1 24.219 (34.133)	Prec@5 56.250 (64.469)
Epoch: [14][1380/14090]	Time 0.854 (0.768)	Data 0.001 (0.004)	Loss 2.9102 (2.7637)	Prec@1 31.250 (34.143)	Prec@5 59.375 (64.470)
Epoch: [14][1390/14090]	Time 0.725 (0.768)	Data 0.001 (0.004)	Loss 3.0467 (2.7645)	Prec@1 32.812 (34.130)	Prec@5 60.156 (64.454)
Epoch: [14][1400/14090]	Time 0.756 (0.768)	Data 0.001 (0.004)	Loss 2.3934 (2.7644)	Prec@1 42.188 (34.127)	Prec@5 73.438 (64.462)
Epoch: [14][1410/14090]	Time 0.725 (0.768)	Data 0.001 (0.004)	Loss 3.1283 (2.7650)	Prec@1 29.688 (34.114)	Prec@5 62.500 (64.461)
Epoch: [14][1420/14090]	Time 0.731 (0.768)	Data 0.001 (0.004)	Loss 2.7054 (2.7646)	Prec@1 29.688 (34.111)	Prec@5 58.594 (64.466)
Epoch: [14][1430/14090]	Time 0.752 (0.768)	Data 0.001 (0.004)	Loss 2.7365 (2.7645)	Prec@1 35.156 (34.116)	Prec@5 65.625 (64.470)
Epoch: [14][1440/14090]	Time 0.737 (0.768)	Data 0.001 (0.003)	Loss 2.8174 (2.7647)	Prec@1 33.594 (34.117)	Prec@5 63.281 (64.456)
Epoch: [14][1450/14090]	Time 0.860 (0.768)	Data 0.001 (0.003)	Loss 3.0807 (2.7651)	Prec@1 32.812 (34.098)	Prec@5 53.125 (64.446)
Epoch: [14][1460/14090]	Time 0.721 (0.768)	Data 0.001 (0.003)	Loss 2.8337 (2.7652)	Prec@1 29.688 (34.103)	Prec@5 63.281 (64.443)
Epoch: [14][1470/14090]	Time 0.756 (0.768)	Data 0.001 (0.003)	Loss 2.6785 (2.7649)	Prec@1 37.500 (34.110)	Prec@5 65.625 (64.451)
Epoch: [14][1480/14090]	Time 0.774 (0.768)	Data 0.001 (0.003)	Loss 2.9132 (2.7645)	Prec@1 30.469 (34.116)	Prec@5 62.500 (64.457)
Epoch: [14][1490/14090]	Time 0.755 (0.768)	Data 0.001 (0.003)	Loss 2.7150 (2.7648)	Prec@1 33.594 (34.108)	Prec@5 63.281 (64.442)
Epoch: [14][1500/14090]	Time 0.732 (0.768)	Data 0.001 (0.003)	Loss 2.6476 (2.7641)	Prec@1 33.594 (34.115)	Prec@5 67.188 (64.457)
Epoch: [14][1510/14090]	Time 0.786 (0.768)	Data 0.001 (0.003)	Loss 2.8968 (2.7640)	Prec@1 28.125 (34.112)	Prec@5 62.500 (64.457)
Epoch: [14][1520/14090]	Time 0.867 (0.768)	Data 0.001 (0.003)	Loss 2.6658 (2.7637)	Prec@1 32.812 (34.120)	Prec@5 67.969 (64.461)
Epoch: [14][1530/14090]	Time 0.752 (0.768)	Data 0.001 (0.003)	Loss 3.0005 (2.7646)	Prec@1 25.781 (34.098)	Prec@5 62.500 (64.449)
Epoch: [14][1540/14090]	Time 0.771 (0.768)	Data 0.001 (0.003)	Loss 2.6356 (2.7645)	Prec@1 36.719 (34.106)	Prec@5 68.750 (64.452)
Epoch: [14][1550/14090]	Time 0.764 (0.768)	Data 0.001 (0.003)	Loss 2.8466 (2.7649)	Prec@1 37.500 (34.104)	Prec@5 64.062 (64.444)
Epoch: [14][1560/14090]	Time 0.735 (0.768)	Data 0.001 (0.003)	Loss 2.8556 (2.7652)	Prec@1 32.812 (34.103)	Prec@5 63.281 (64.442)
Epoch: [14][1570/14090]	Time 0.750 (0.768)	Data 0.001 (0.003)	Loss 2.4767 (2.7652)	Prec@1 38.281 (34.112)	Prec@5 72.656 (64.452)
Epoch: [14][1580/14090]	Time 0.741 (0.768)	Data 0.001 (0.003)	Loss 2.9186 (2.7652)	Prec@1 34.375 (34.115)	Prec@5 63.281 (64.455)
Epoch: [14][1590/14090]	Time 0.891 (0.768)	Data 0.002 (0.003)	Loss 2.6746 (2.7654)	Prec@1 31.250 (34.105)	Prec@5 68.750 (64.457)
Epoch: [14][1600/14090]	Time 0.764 (0.768)	Data 0.001 (0.003)	Loss 2.6194 (2.7656)	Prec@1 35.938 (34.106)	Prec@5 64.062 (64.454)
Epoch: [14][1610/14090]	Time 0.728 (0.768)	Data 0.001 (0.003)	Loss 2.9093 (2.7657)	Prec@1 28.125 (34.096)	Prec@5 63.281 (64.445)
Epoch: [14][1620/14090]	Time 0.757 (0.768)	Data 0.001 (0.003)	Loss 2.6907 (2.7662)	Prec@1 39.844 (34.092)	Prec@5 67.188 (64.425)
Epoch: [14][1630/14090]	Time 0.740 (0.768)	Data 0.001 (0.003)	Loss 3.1539 (2.7666)	Prec@1 31.250 (34.091)	Prec@5 57.031 (64.411)
Epoch: [14][1640/14090]	Time 0.783 (0.768)	Data 0.001 (0.003)	Loss 2.6905 (2.7665)	Prec@1 35.938 (34.093)	Prec@5 64.844 (64.417)
Epoch: [14][1650/14090]	Time 0.745 (0.768)	Data 0.001 (0.003)	Loss 2.6869 (2.7669)	Prec@1 36.719 (34.084)	Prec@5 68.750 (64.402)
Epoch: [14][1660/14090]	Time 0.859 (0.768)	Data 0.001 (0.003)	Loss 2.9234 (2.7668)	Prec@1 28.906 (34.074)	Prec@5 57.812 (64.397)
Epoch: [14][1670/14090]	Time 0.761 (0.768)	Data 0.001 (0.003)	Loss 2.8586 (2.7674)	Prec@1 28.906 (34.065)	Prec@5 63.281 (64.374)
Epoch: [14][1680/14090]	Time 0.775 (0.768)	Data 0.001 (0.003)	Loss 2.7517 (2.7670)	Prec@1 37.500 (34.070)	Prec@5 68.750 (64.384)
Epoch: [14][1690/14090]	Time 0.782 (0.768)	Data 0.001 (0.003)	Loss 2.7370 (2.7668)	Prec@1 31.250 (34.059)	Prec@5 69.531 (64.388)
Epoch: [14][1700/14090]	Time 0.751 (0.768)	Data 0.001 (0.003)	Loss 2.7251 (2.7672)	Prec@1 41.406 (34.055)	Prec@5 67.969 (64.371)
Epoch: [14][1710/14090]	Time 0.750 (0.768)	Data 0.001 (0.003)	Loss 2.6628 (2.7672)	Prec@1 33.594 (34.052)	Prec@5 63.281 (64.373)
Epoch: [14][1720/14090]	Time 0.754 (0.768)	Data 0.001 (0.003)	Loss 2.6246 (2.7672)	Prec@1 34.375 (34.048)	Prec@5 70.312 (64.374)
Epoch: [14][1730/14090]	Time 0.895 (0.768)	Data 0.001 (0.003)	Loss 2.5826 (2.7672)	Prec@1 36.719 (34.059)	Prec@5 67.969 (64.375)
Epoch: [14][1740/14090]	Time 0.736 (0.768)	Data 0.001 (0.003)	Loss 2.6135 (2.7674)	Prec@1 32.812 (34.045)	Prec@5 67.188 (64.371)
Epoch: [14][1750/14090]	Time 0.736 (0.768)	Data 0.001 (0.003)	Loss 2.7959 (2.7682)	Prec@1 34.375 (34.039)	Prec@5 65.625 (64.363)
Epoch: [14][1760/14090]	Time 0.745 (0.768)	Data 0.001 (0.003)	Loss 2.6454 (2.7678)	Prec@1 32.031 (34.053)	Prec@5 65.625 (64.371)
Epoch: [14][1770/14090]	Time 0.747 (0.768)	Data 0.001 (0.003)	Loss 2.7373 (2.7682)	Prec@1 34.375 (34.034)	Prec@5 62.500 (64.362)
Epoch: [14][1780/14090]	Time 0.750 (0.768)	Data 0.001 (0.003)	Loss 2.6221 (2.7680)	Prec@1 42.188 (34.042)	Prec@5 68.750 (64.374)
Epoch: [14][1790/14090]	Time 0.755 (0.768)	Data 0.002 (0.003)	Loss 3.0324 (2.7684)	Prec@1 27.344 (34.034)	Prec@5 52.344 (64.364)
Epoch: [14][1800/14090]	Time 0.858 (0.768)	Data 0.001 (0.003)	Loss 2.6572 (2.7684)	Prec@1 38.281 (34.036)	Prec@5 67.969 (64.366)
Epoch: [14][1810/14090]	Time 0.750 (0.768)	Data 0.001 (0.003)	Loss 2.9218 (2.7681)	Prec@1 31.250 (34.046)	Prec@5 61.719 (64.374)
Epoch: [14][1820/14090]	Time 0.758 (0.768)	Data 0.001 (0.003)	Loss 2.8523 (2.7676)	Prec@1 32.812 (34.055)	Prec@5 61.719 (64.383)
Epoch: [14][1830/14090]	Time 0.738 (0.768)	Data 0.001 (0.003)	Loss 2.5635 (2.7671)	Prec@1 35.938 (34.063)	Prec@5 71.094 (64.395)
Epoch: [14][1840/14090]	Time 0.774 (0.768)	Data 0.001 (0.003)	Loss 2.8254 (2.7672)	Prec@1 39.062 (34.077)	Prec@5 57.031 (64.392)
Epoch: [14][1850/14090]	Time 0.742 (0.768)	Data 0.001 (0.003)	Loss 2.7317 (2.7676)	Prec@1 33.594 (34.072)	Prec@5 61.719 (64.383)
Epoch: [14][1860/14090]	Time 0.760 (0.768)	Data 0.001 (0.003)	Loss 2.8151 (2.7678)	Prec@1 32.031 (34.059)	Prec@5 62.500 (64.387)
Epoch: [14][1870/14090]	Time 0.887 (0.768)	Data 0.001 (0.003)	Loss 2.6086 (2.7674)	Prec@1 36.719 (34.066)	Prec@5 67.969 (64.399)
Epoch: [14][1880/14090]	Time 0.773 (0.768)	Data 0.002 (0.003)	Loss 2.5869 (2.7673)	Prec@1 36.719 (34.059)	Prec@5 69.531 (64.406)
Epoch: [14][1890/14090]	Time 0.742 (0.768)	Data 0.001 (0.003)	Loss 2.7253 (2.7670)	Prec@1 35.938 (34.065)	Prec@5 65.625 (64.415)
Epoch: [14][1900/14090]	Time 0.726 (0.768)	Data 0.001 (0.003)	Loss 2.5556 (2.7674)	Prec@1 38.281 (34.058)	Prec@5 66.406 (64.408)
Epoch: [14][1910/14090]	Time 0.767 (0.768)	Data 0.001 (0.003)	Loss 2.7024 (2.7680)	Prec@1 35.156 (34.052)	Prec@5 70.312 (64.394)
Epoch: [14][1920/14090]	Time 0.775 (0.768)	Data 0.001 (0.003)	Loss 2.7866 (2.7679)	Prec@1 29.688 (34.045)	Prec@5 60.938 (64.394)
Epoch: [14][1930/14090]	Time 0.745 (0.768)	Data 0.001 (0.003)	Loss 3.0650 (2.7678)	Prec@1 30.469 (34.050)	Prec@5 58.594 (64.393)
Epoch: [14][1940/14090]	Time 0.869 (0.768)	Data 0.001 (0.003)	Loss 2.7842 (2.7679)	Prec@1 34.375 (34.046)	Prec@5 71.875 (64.398)
Epoch: [14][1950/14090]	Time 0.729 (0.768)	Data 0.001 (0.003)	Loss 2.6698 (2.7676)	Prec@1 38.281 (34.048)	Prec@5 67.188 (64.403)
Epoch: [14][1960/14090]	Time 0.733 (0.768)	Data 0.002 (0.003)	Loss 2.6691 (2.7675)	Prec@1 37.500 (34.051)	Prec@5 65.625 (64.406)
Epoch: [14][1970/14090]	Time 0.727 (0.768)	Data 0.001 (0.003)	Loss 2.8824 (2.7677)	Prec@1 35.156 (34.044)	Prec@5 59.375 (64.401)
Epoch: [14][1980/14090]	Time 0.777 (0.768)	Data 0.001 (0.003)	Loss 2.9723 (2.7679)	Prec@1 32.812 (34.049)	Prec@5 60.156 (64.402)
Epoch: [14][1990/14090]	Time 0.748 (0.768)	Data 0.001 (0.003)	Loss 2.8205 (2.7678)	Prec@1 33.594 (34.049)	Prec@5 61.719 (64.402)
Epoch: [14][2000/14090]	Time 0.730 (0.767)	Data 0.001 (0.003)	Loss 2.8879 (2.7676)	Prec@1 35.938 (34.054)	Prec@5 65.625 (64.416)
Epoch: [14][2010/14090]	Time 0.871 (0.768)	Data 0.001 (0.003)	Loss 2.7239 (2.7676)	Prec@1 36.719 (34.056)	Prec@5 68.750 (64.413)
Epoch: [14][2020/14090]	Time 0.724 (0.767)	Data 0.001 (0.003)	Loss 2.8158 (2.7674)	Prec@1 32.031 (34.062)	Prec@5 65.625 (64.419)
Epoch: [14][2030/14090]	Time 0.757 (0.767)	Data 0.001 (0.003)	Loss 3.0150 (2.7676)	Prec@1 28.906 (34.066)	Prec@5 58.594 (64.416)
Epoch: [14][2040/14090]	Time 0.758 (0.767)	Data 0.001 (0.003)	Loss 2.5929 (2.7673)	Prec@1 34.375 (34.065)	Prec@5 65.625 (64.427)
Epoch: [14][2050/14090]	Time 0.733 (0.767)	Data 0.001 (0.003)	Loss 3.0393 (2.7674)	Prec@1 30.469 (34.066)	Prec@5 57.031 (64.426)
Epoch: [14][2060/14090]	Time 0.736 (0.767)	Data 0.001 (0.003)	Loss 2.7218 (2.7673)	Prec@1 37.500 (34.068)	Prec@5 65.625 (64.430)
Epoch: [14][2070/14090]	Time 0.758 (0.767)	Data 0.001 (0.003)	Loss 2.7454 (2.7674)	Prec@1 35.938 (34.063)	Prec@5 64.844 (64.433)
Epoch: [14][2080/14090]	Time 0.946 (0.767)	Data 0.002 (0.003)	Loss 3.0229 (2.7672)	Prec@1 24.219 (34.067)	Prec@5 63.281 (64.436)
Epoch: [14][2090/14090]	Time 0.729 (0.767)	Data 0.001 (0.003)	Loss 2.6777 (2.7671)	Prec@1 33.594 (34.064)	Prec@5 64.062 (64.435)
Epoch: [14][2100/14090]	Time 0.733 (0.767)	Data 0.001 (0.003)	Loss 2.8991 (2.7678)	Prec@1 28.125 (34.046)	Prec@5 63.281 (64.425)
Epoch: [14][2110/14090]	Time 0.768 (0.767)	Data 0.001 (0.003)	Loss 2.8657 (2.7677)	Prec@1 28.125 (34.050)	Prec@5 59.375 (64.433)
Epoch: [14][2120/14090]	Time 0.738 (0.767)	Data 0.001 (0.003)	Loss 2.7694 (2.7672)	Prec@1 32.031 (34.064)	Prec@5 64.062 (64.446)
Epoch: [14][2130/14090]	Time 0.741 (0.767)	Data 0.001 (0.003)	Loss 2.8065 (2.7673)	Prec@1 28.906 (34.069)	Prec@5 64.844 (64.441)
Epoch: [14][2140/14090]	Time 0.729 (0.767)	Data 0.001 (0.003)	Loss 2.5927 (2.7668)	Prec@1 36.719 (34.077)	Prec@5 65.625 (64.446)
Epoch: [14][2150/14090]	Time 0.880 (0.767)	Data 0.001 (0.003)	Loss 2.7577 (2.7671)	Prec@1 35.938 (34.079)	Prec@5 60.156 (64.445)
Epoch: [14][2160/14090]	Time 0.732 (0.767)	Data 0.001 (0.003)	Loss 2.4944 (2.7671)	Prec@1 40.625 (34.072)	Prec@5 72.656 (64.446)
Epoch: [14][2170/14090]	Time 0.731 (0.767)	Data 0.001 (0.003)	Loss 2.7903 (2.7674)	Prec@1 32.812 (34.069)	Prec@5 61.719 (64.443)
Epoch: [14][2180/14090]	Time 0.776 (0.767)	Data 0.001 (0.003)	Loss 2.7534 (2.7673)	Prec@1 33.594 (34.067)	Prec@5 64.062 (64.444)
Epoch: [14][2190/14090]	Time 0.780 (0.767)	Data 0.001 (0.003)	Loss 2.6468 (2.7675)	Prec@1 32.031 (34.068)	Prec@5 64.062 (64.439)
Epoch: [14][2200/14090]	Time 0.756 (0.767)	Data 0.001 (0.003)	Loss 2.8696 (2.7675)	Prec@1 37.500 (34.072)	Prec@5 60.938 (64.434)
Epoch: [14][2210/14090]	Time 0.740 (0.767)	Data 0.001 (0.003)	Loss 2.8840 (2.7678)	Prec@1 34.375 (34.069)	Prec@5 61.719 (64.425)
Epoch: [14][2220/14090]	Time 0.891 (0.767)	Data 0.001 (0.003)	Loss 2.7391 (2.7682)	Prec@1 32.812 (34.061)	Prec@5 67.969 (64.415)
Epoch: [14][2230/14090]	Time 0.753 (0.767)	Data 0.001 (0.003)	Loss 2.5340 (2.7680)	Prec@1 37.500 (34.065)	Prec@5 71.875 (64.422)
Epoch: [14][2240/14090]	Time 0.761 (0.767)	Data 0.001 (0.003)	Loss 3.0068 (2.7677)	Prec@1 28.906 (34.071)	Prec@5 58.594 (64.431)
Epoch: [14][2250/14090]	Time 0.734 (0.767)	Data 0.001 (0.003)	Loss 2.7346 (2.7675)	Prec@1 34.375 (34.076)	Prec@5 65.625 (64.434)
Epoch: [14][2260/14090]	Time 0.740 (0.767)	Data 0.001 (0.003)	Loss 2.5598 (2.7676)	Prec@1 34.375 (34.073)	Prec@5 67.969 (64.428)
Epoch: [14][2270/14090]	Time 0.738 (0.767)	Data 0.001 (0.003)	Loss 2.3866 (2.7676)	Prec@1 41.406 (34.068)	Prec@5 73.438 (64.429)
Epoch: [14][2280/14090]	Time 0.757 (0.767)	Data 0.001 (0.003)	Loss 2.6447 (2.7677)	Prec@1 35.938 (34.059)	Prec@5 60.156 (64.422)
Epoch: [14][2290/14090]	Time 0.841 (0.767)	Data 0.001 (0.003)	Loss 2.7857 (2.7676)	Prec@1 33.594 (34.056)	Prec@5 60.156 (64.422)
Epoch: [14][2300/14090]	Time 0.749 (0.767)	Data 0.001 (0.003)	Loss 2.3567 (2.7672)	Prec@1 42.188 (34.070)	Prec@5 68.750 (64.428)
Epoch: [14][2310/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.9001 (2.7679)	Prec@1 28.906 (34.057)	Prec@5 64.062 (64.417)
Epoch: [14][2320/14090]	Time 0.726 (0.767)	Data 0.001 (0.002)	Loss 2.9584 (2.7681)	Prec@1 28.906 (34.043)	Prec@5 63.281 (64.413)
Epoch: [14][2330/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 3.0145 (2.7681)	Prec@1 28.906 (34.039)	Prec@5 59.375 (64.412)
Epoch: [14][2340/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 2.9864 (2.7682)	Prec@1 35.156 (34.046)	Prec@5 59.375 (64.407)
Epoch: [14][2350/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 2.8805 (2.7682)	Prec@1 35.156 (34.047)	Prec@5 61.719 (64.398)
Epoch: [14][2360/14090]	Time 0.827 (0.767)	Data 0.001 (0.002)	Loss 2.6504 (2.7684)	Prec@1 33.594 (34.048)	Prec@5 67.969 (64.391)
Epoch: [14][2370/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 2.7721 (2.7683)	Prec@1 32.031 (34.050)	Prec@5 62.500 (64.387)
Epoch: [14][2380/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 2.4360 (2.7678)	Prec@1 36.719 (34.052)	Prec@5 71.875 (64.405)
Epoch: [14][2390/14090]	Time 0.726 (0.767)	Data 0.001 (0.002)	Loss 2.7231 (2.7675)	Prec@1 42.188 (34.062)	Prec@5 64.062 (64.407)
Epoch: [14][2400/14090]	Time 0.727 (0.767)	Data 0.001 (0.002)	Loss 2.7603 (2.7677)	Prec@1 38.281 (34.061)	Prec@5 61.719 (64.400)
Epoch: [14][2410/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 2.7289 (2.7674)	Prec@1 35.156 (34.065)	Prec@5 66.406 (64.407)
Epoch: [14][2420/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 2.7807 (2.7675)	Prec@1 33.594 (34.060)	Prec@5 67.188 (64.404)
Epoch: [14][2430/14090]	Time 0.881 (0.767)	Data 0.001 (0.002)	Loss 2.6046 (2.7675)	Prec@1 37.500 (34.058)	Prec@5 62.500 (64.401)
Epoch: [14][2440/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 2.9850 (2.7676)	Prec@1 32.812 (34.051)	Prec@5 54.688 (64.397)
Epoch: [14][2450/14090]	Time 0.725 (0.767)	Data 0.001 (0.002)	Loss 2.6546 (2.7674)	Prec@1 35.156 (34.059)	Prec@5 67.188 (64.397)
Epoch: [14][2460/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 2.5999 (2.7676)	Prec@1 33.594 (34.054)	Prec@5 69.531 (64.395)
Epoch: [14][2470/14090]	Time 0.790 (0.767)	Data 0.001 (0.002)	Loss 2.5755 (2.7675)	Prec@1 32.812 (34.059)	Prec@5 67.969 (64.404)
Epoch: [14][2480/14090]	Time 0.731 (0.767)	Data 0.001 (0.002)	Loss 2.6244 (2.7676)	Prec@1 35.156 (34.053)	Prec@5 64.844 (64.402)
Epoch: [14][2490/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.7983 (2.7676)	Prec@1 29.688 (34.052)	Prec@5 62.500 (64.399)
Epoch: [14][2500/14090]	Time 0.842 (0.767)	Data 0.001 (0.002)	Loss 2.5877 (2.7673)	Prec@1 36.719 (34.056)	Prec@5 70.312 (64.404)
Epoch: [14][2510/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 2.7568 (2.7674)	Prec@1 40.625 (34.055)	Prec@5 59.375 (64.399)
Epoch: [14][2520/14090]	Time 0.768 (0.767)	Data 0.001 (0.002)	Loss 2.7212 (2.7674)	Prec@1 32.031 (34.053)	Prec@5 60.156 (64.396)
Epoch: [14][2530/14090]	Time 0.726 (0.767)	Data 0.001 (0.002)	Loss 2.8614 (2.7677)	Prec@1 32.812 (34.051)	Prec@5 61.719 (64.395)
Epoch: [14][2540/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.6039 (2.7675)	Prec@1 42.969 (34.059)	Prec@5 67.188 (64.395)
Epoch: [14][2550/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 2.7488 (2.7673)	Prec@1 35.156 (34.059)	Prec@5 63.281 (64.406)
Epoch: [14][2560/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.5805 (2.7672)	Prec@1 34.375 (34.057)	Prec@5 70.312 (64.406)
Epoch: [14][2570/14090]	Time 0.888 (0.767)	Data 0.001 (0.002)	Loss 2.3998 (2.7671)	Prec@1 40.625 (34.057)	Prec@5 72.656 (64.411)
Epoch: [14][2580/14090]	Time 0.727 (0.767)	Data 0.001 (0.002)	Loss 2.7477 (2.7670)	Prec@1 32.031 (34.058)	Prec@5 62.500 (64.413)
Epoch: [14][2590/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 2.9716 (2.7671)	Prec@1 32.812 (34.061)	Prec@5 59.375 (64.411)
Epoch: [14][2600/14090]	Time 0.777 (0.767)	Data 0.001 (0.002)	Loss 2.7070 (2.7673)	Prec@1 32.031 (34.059)	Prec@5 59.375 (64.400)
Epoch: [14][2610/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.9035 (2.7674)	Prec@1 35.938 (34.060)	Prec@5 59.375 (64.395)
Epoch: [14][2620/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 2.7199 (2.7675)	Prec@1 33.594 (34.052)	Prec@5 65.625 (64.394)
Epoch: [14][2630/14090]	Time 0.757 (0.767)	Data 0.001 (0.002)	Loss 2.5284 (2.7678)	Prec@1 40.625 (34.049)	Prec@5 67.969 (64.392)
Epoch: [14][2640/14090]	Time 0.894 (0.767)	Data 0.001 (0.002)	Loss 2.9781 (2.7678)	Prec@1 25.781 (34.053)	Prec@5 58.594 (64.392)
Epoch: [14][2650/14090]	Time 0.763 (0.767)	Data 0.001 (0.002)	Loss 2.6081 (2.7677)	Prec@1 36.719 (34.056)	Prec@5 69.531 (64.399)
Epoch: [14][2660/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 2.6994 (2.7676)	Prec@1 31.250 (34.054)	Prec@5 66.406 (64.397)
Epoch: [14][2670/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 2.5898 (2.7675)	Prec@1 38.281 (34.052)	Prec@5 72.656 (64.401)
Epoch: [14][2680/14090]	Time 0.760 (0.767)	Data 0.001 (0.002)	Loss 2.8912 (2.7674)	Prec@1 38.281 (34.063)	Prec@5 63.281 (64.408)
Epoch: [14][2690/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 2.8062 (2.7675)	Prec@1 29.688 (34.061)	Prec@5 59.375 (64.404)
Epoch: [14][2700/14090]	Time 0.726 (0.767)	Data 0.001 (0.002)	Loss 2.5539 (2.7673)	Prec@1 41.406 (34.066)	Prec@5 69.531 (64.414)
Epoch: [14][2710/14090]	Time 1.011 (0.767)	Data 0.001 (0.002)	Loss 2.6363 (2.7674)	Prec@1 42.188 (34.067)	Prec@5 65.625 (64.411)
Epoch: [14][2720/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 2.7875 (2.7676)	Prec@1 32.812 (34.070)	Prec@5 61.719 (64.407)
Epoch: [14][2730/14090]	Time 0.727 (0.767)	Data 0.001 (0.002)	Loss 3.0645 (2.7676)	Prec@1 31.250 (34.072)	Prec@5 62.500 (64.407)
Epoch: [14][2740/14090]	Time 0.782 (0.767)	Data 0.001 (0.002)	Loss 2.7752 (2.7678)	Prec@1 36.719 (34.072)	Prec@5 63.281 (64.401)
Epoch: [14][2750/14090]	Time 0.770 (0.767)	Data 0.001 (0.002)	Loss 2.7772 (2.7679)	Prec@1 35.938 (34.069)	Prec@5 63.281 (64.400)
Epoch: [14][2760/14090]	Time 0.783 (0.767)	Data 0.001 (0.002)	Loss 2.5866 (2.7681)	Prec@1 38.281 (34.071)	Prec@5 71.875 (64.402)
Epoch: [14][2770/14090]	Time 0.760 (0.767)	Data 0.001 (0.002)	Loss 2.7700 (2.7681)	Prec@1 33.594 (34.062)	Prec@5 64.062 (64.401)
Epoch: [14][2780/14090]	Time 0.869 (0.767)	Data 0.001 (0.002)	Loss 2.5542 (2.7680)	Prec@1 35.156 (34.062)	Prec@5 67.188 (64.406)
Epoch: [14][2790/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 2.4680 (2.7678)	Prec@1 42.969 (34.072)	Prec@5 73.438 (64.415)
Epoch: [14][2800/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 2.5381 (2.7677)	Prec@1 40.625 (34.077)	Prec@5 66.406 (64.418)
Epoch: [14][2810/14090]	Time 0.728 (0.767)	Data 0.002 (0.002)	Loss 2.7215 (2.7675)	Prec@1 31.250 (34.076)	Prec@5 71.094 (64.428)
Epoch: [14][2820/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 2.7088 (2.7677)	Prec@1 32.031 (34.070)	Prec@5 67.188 (64.421)
Epoch: [14][2830/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 2.7086 (2.7677)	Prec@1 34.375 (34.072)	Prec@5 67.969 (64.420)
Epoch: [14][2840/14090]	Time 0.731 (0.767)	Data 0.001 (0.002)	Loss 2.7724 (2.7676)	Prec@1 27.344 (34.076)	Prec@5 68.750 (64.421)
Epoch: [14][2850/14090]	Time 0.835 (0.767)	Data 0.001 (0.002)	Loss 3.0615 (2.7677)	Prec@1 26.562 (34.071)	Prec@5 54.688 (64.415)
Epoch: [14][2860/14090]	Time 0.726 (0.767)	Data 0.001 (0.002)	Loss 2.7275 (2.7677)	Prec@1 36.719 (34.066)	Prec@5 66.406 (64.408)
Epoch: [14][2870/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 2.9378 (2.7677)	Prec@1 30.469 (34.062)	Prec@5 57.031 (64.405)
Epoch: [14][2880/14090]	Time 0.763 (0.767)	Data 0.001 (0.002)	Loss 2.8907 (2.7680)	Prec@1 34.375 (34.058)	Prec@5 65.625 (64.402)
Epoch: [14][2890/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 2.9039 (2.7679)	Prec@1 31.250 (34.055)	Prec@5 63.281 (64.401)
Epoch: [14][2900/14090]	Time 0.760 (0.767)	Data 0.001 (0.002)	Loss 2.6942 (2.7680)	Prec@1 30.469 (34.055)	Prec@5 64.062 (64.396)
Epoch: [14][2910/14090]	Time 0.790 (0.767)	Data 0.001 (0.002)	Loss 2.9185 (2.7680)	Prec@1 29.688 (34.050)	Prec@5 61.719 (64.392)
Epoch: [14][2920/14090]	Time 0.864 (0.767)	Data 0.001 (0.002)	Loss 3.3938 (2.7682)	Prec@1 24.219 (34.053)	Prec@5 53.125 (64.384)
Epoch: [14][2930/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 2.7164 (2.7682)	Prec@1 35.938 (34.053)	Prec@5 70.312 (64.387)
Epoch: [14][2940/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 2.7143 (2.7685)	Prec@1 27.344 (34.043)	Prec@5 64.062 (64.375)
Epoch: [14][2950/14090]	Time 0.778 (0.767)	Data 0.001 (0.002)	Loss 2.6772 (2.7687)	Prec@1 34.375 (34.038)	Prec@5 66.406 (64.373)
Epoch: [14][2960/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 2.6796 (2.7687)	Prec@1 33.594 (34.036)	Prec@5 68.750 (64.369)
Epoch: [14][2970/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 2.5649 (2.7684)	Prec@1 28.906 (34.037)	Prec@5 70.312 (64.377)
Epoch: [14][2980/14090]	Time 0.761 (0.767)	Data 0.001 (0.002)	Loss 2.9722 (2.7682)	Prec@1 31.250 (34.038)	Prec@5 58.594 (64.379)
Epoch: [14][2990/14090]	Time 0.874 (0.767)	Data 0.001 (0.002)	Loss 2.9350 (2.7682)	Prec@1 32.031 (34.036)	Prec@5 64.062 (64.383)
Epoch: [14][3000/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 2.8380 (2.7683)	Prec@1 35.156 (34.041)	Prec@5 64.062 (64.387)
Epoch: [14][3010/14090]	Time 0.724 (0.767)	Data 0.001 (0.002)	Loss 2.8017 (2.7686)	Prec@1 31.250 (34.036)	Prec@5 63.281 (64.382)
Epoch: [14][3020/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 2.7789 (2.7688)	Prec@1 33.594 (34.032)	Prec@5 68.750 (64.377)
Epoch: [14][3030/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 2.6948 (2.7689)	Prec@1 33.594 (34.035)	Prec@5 63.281 (64.374)
Epoch: [14][3040/14090]	Time 0.773 (0.767)	Data 0.001 (0.002)	Loss 2.6965 (2.7689)	Prec@1 35.156 (34.032)	Prec@5 60.938 (64.372)
Epoch: [14][3050/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 2.7641 (2.7686)	Prec@1 38.281 (34.039)	Prec@5 64.062 (64.382)
Epoch: [14][3060/14090]	Time 0.844 (0.767)	Data 0.001 (0.002)	Loss 2.7842 (2.7683)	Prec@1 31.250 (34.040)	Prec@5 63.281 (64.385)
Epoch: [14][3070/14090]	Time 0.724 (0.767)	Data 0.001 (0.002)	Loss 2.6637 (2.7685)	Prec@1 35.156 (34.041)	Prec@5 66.406 (64.384)
Epoch: [14][3080/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.5931 (2.7685)	Prec@1 39.844 (34.043)	Prec@5 67.188 (64.382)
Epoch: [14][3090/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 2.6115 (2.7684)	Prec@1 39.062 (34.040)	Prec@5 67.969 (64.385)
Epoch: [14][3100/14090]	Time 0.781 (0.767)	Data 0.001 (0.002)	Loss 2.8556 (2.7687)	Prec@1 35.156 (34.038)	Prec@5 64.844 (64.382)
Epoch: [14][3110/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 2.8912 (2.7687)	Prec@1 35.156 (34.037)	Prec@5 61.719 (64.382)
Epoch: [14][3120/14090]	Time 0.778 (0.767)	Data 0.001 (0.002)	Loss 2.8939 (2.7688)	Prec@1 30.469 (34.039)	Prec@5 60.938 (64.382)
Epoch: [14][3130/14090]	Time 0.868 (0.767)	Data 0.001 (0.002)	Loss 2.7428 (2.7686)	Prec@1 33.594 (34.041)	Prec@5 65.625 (64.385)
Epoch: [14][3140/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 2.5011 (2.7686)	Prec@1 36.719 (34.042)	Prec@5 72.656 (64.389)
Epoch: [14][3150/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 2.5987 (2.7687)	Prec@1 35.938 (34.042)	Prec@5 71.094 (64.386)
Epoch: [14][3160/14090]	Time 0.775 (0.767)	Data 0.001 (0.002)	Loss 2.9710 (2.7689)	Prec@1 32.812 (34.041)	Prec@5 64.844 (64.383)
Epoch: [14][3170/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 2.6683 (2.7688)	Prec@1 32.031 (34.038)	Prec@5 65.625 (64.384)
Epoch: [14][3180/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.5703 (2.7690)	Prec@1 42.188 (34.044)	Prec@5 66.406 (64.379)
Epoch: [14][3190/14090]	Time 0.763 (0.767)	Data 0.001 (0.002)	Loss 2.7875 (2.7687)	Prec@1 28.125 (34.054)	Prec@5 68.750 (64.386)
Epoch: [14][3200/14090]	Time 0.854 (0.767)	Data 0.001 (0.002)	Loss 2.6827 (2.7688)	Prec@1 35.938 (34.057)	Prec@5 64.062 (64.385)
Epoch: [14][3210/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 2.7829 (2.7688)	Prec@1 36.719 (34.056)	Prec@5 60.938 (64.378)
Epoch: [14][3220/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 2.7233 (2.7692)	Prec@1 33.594 (34.046)	Prec@5 67.969 (64.371)
Epoch: [14][3230/14090]	Time 0.792 (0.767)	Data 0.001 (0.002)	Loss 2.7828 (2.7692)	Prec@1 35.156 (34.042)	Prec@5 60.938 (64.372)
Epoch: [14][3240/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 2.9812 (2.7693)	Prec@1 28.906 (34.043)	Prec@5 64.844 (64.372)
Epoch: [14][3250/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 2.4826 (2.7691)	Prec@1 39.844 (34.044)	Prec@5 73.438 (64.381)
Epoch: [14][3260/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 2.7316 (2.7691)	Prec@1 36.719 (34.037)	Prec@5 65.625 (64.384)
Epoch: [14][3270/14090]	Time 0.841 (0.767)	Data 0.001 (0.002)	Loss 2.6947 (2.7691)	Prec@1 28.906 (34.036)	Prec@5 63.281 (64.384)
Epoch: [14][3280/14090]	Time 0.788 (0.767)	Data 0.001 (0.002)	Loss 2.8797 (2.7687)	Prec@1 38.281 (34.045)	Prec@5 60.156 (64.388)
Epoch: [14][3290/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 2.7359 (2.7686)	Prec@1 35.156 (34.053)	Prec@5 64.844 (64.396)
Epoch: [14][3300/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 2.5154 (2.7684)	Prec@1 46.875 (34.062)	Prec@5 68.750 (64.399)
Epoch: [14][3310/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 3.1054 (2.7686)	Prec@1 36.719 (34.059)	Prec@5 57.812 (64.394)
Epoch: [14][3320/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.6653 (2.7688)	Prec@1 32.812 (34.056)	Prec@5 63.281 (64.389)
Epoch: [14][3330/14090]	Time 0.761 (0.767)	Data 0.001 (0.002)	Loss 3.0831 (2.7689)	Prec@1 23.438 (34.059)	Prec@5 60.156 (64.389)
Epoch: [14][3340/14090]	Time 0.846 (0.767)	Data 0.001 (0.002)	Loss 2.8098 (2.7686)	Prec@1 31.250 (34.062)	Prec@5 67.188 (64.395)
Epoch: [14][3350/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 2.8271 (2.7687)	Prec@1 28.906 (34.061)	Prec@5 67.188 (64.392)
Epoch: [14][3360/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.7510 (2.7686)	Prec@1 30.469 (34.059)	Prec@5 63.281 (64.394)
Epoch: [14][3370/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 3.1192 (2.7686)	Prec@1 23.438 (34.054)	Prec@5 57.031 (64.394)
Epoch: [14][3380/14090]	Time 0.771 (0.767)	Data 0.001 (0.002)	Loss 2.8461 (2.7687)	Prec@1 34.375 (34.047)	Prec@5 63.281 (64.390)
Epoch: [14][3390/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.9188 (2.7687)	Prec@1 32.812 (34.047)	Prec@5 60.938 (64.388)
Epoch: [14][3400/14090]	Time 0.767 (0.767)	Data 0.001 (0.002)	Loss 2.8899 (2.7690)	Prec@1 31.250 (34.041)	Prec@5 64.062 (64.382)
Epoch: [14][3410/14090]	Time 0.832 (0.767)	Data 0.001 (0.002)	Loss 2.6848 (2.7690)	Prec@1 29.688 (34.038)	Prec@5 71.094 (64.383)
Epoch: [14][3420/14090]	Time 0.723 (0.766)	Data 0.001 (0.002)	Loss 2.5962 (2.7688)	Prec@1 38.281 (34.037)	Prec@5 70.312 (64.387)
Epoch: [14][3430/14090]	Time 0.766 (0.766)	Data 0.001 (0.002)	Loss 2.9470 (2.7692)	Prec@1 32.031 (34.032)	Prec@5 60.938 (64.381)
Epoch: [14][3440/14090]	Time 0.761 (0.766)	Data 0.001 (0.002)	Loss 2.9851 (2.7691)	Prec@1 27.344 (34.031)	Prec@5 58.594 (64.383)
Epoch: [14][3450/14090]	Time 0.728 (0.766)	Data 0.001 (0.002)	Loss 2.7289 (2.7691)	Prec@1 31.250 (34.026)	Prec@5 71.094 (64.383)
Epoch: [14][3460/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 2.6940 (2.7692)	Prec@1 36.719 (34.024)	Prec@5 63.281 (64.383)
Epoch: [14][3470/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.6219 (2.7690)	Prec@1 38.281 (34.028)	Prec@5 67.188 (64.390)
Epoch: [14][3480/14090]	Time 0.835 (0.766)	Data 0.001 (0.002)	Loss 2.6668 (2.7690)	Prec@1 35.938 (34.027)	Prec@5 64.062 (64.392)
Epoch: [14][3490/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 2.7050 (2.7692)	Prec@1 40.625 (34.021)	Prec@5 66.406 (64.388)
Epoch: [14][3500/14090]	Time 0.785 (0.766)	Data 0.001 (0.002)	Loss 2.5949 (2.7693)	Prec@1 37.500 (34.020)	Prec@5 70.312 (64.385)
Epoch: [14][3510/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 2.8082 (2.7692)	Prec@1 35.156 (34.023)	Prec@5 69.531 (64.385)
Epoch: [14][3520/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.6221 (2.7693)	Prec@1 34.375 (34.025)	Prec@5 65.625 (64.380)
Epoch: [14][3530/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 2.9719 (2.7693)	Prec@1 32.812 (34.031)	Prec@5 64.062 (64.381)
Epoch: [14][3540/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.6525 (2.7692)	Prec@1 33.594 (34.030)	Prec@5 58.594 (64.381)
Epoch: [14][3550/14090]	Time 1.005 (0.766)	Data 0.001 (0.002)	Loss 2.6928 (2.7693)	Prec@1 41.406 (34.030)	Prec@5 66.406 (64.376)
Epoch: [14][3560/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 2.8441 (2.7691)	Prec@1 31.250 (34.037)	Prec@5 64.844 (64.382)
Epoch: [14][3570/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 2.6662 (2.7691)	Prec@1 38.281 (34.034)	Prec@5 65.625 (64.378)
Epoch: [14][3580/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 2.8139 (2.7693)	Prec@1 33.594 (34.026)	Prec@5 67.969 (64.378)
Epoch: [14][3590/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.8114 (2.7693)	Prec@1 35.938 (34.025)	Prec@5 61.719 (64.375)
Epoch: [14][3600/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.8583 (2.7692)	Prec@1 34.375 (34.029)	Prec@5 64.062 (64.382)
Epoch: [14][3610/14090]	Time 0.778 (0.766)	Data 0.001 (0.002)	Loss 2.9570 (2.7692)	Prec@1 26.562 (34.029)	Prec@5 58.594 (64.378)
Epoch: [14][3620/14090]	Time 0.840 (0.766)	Data 0.001 (0.002)	Loss 2.8619 (2.7693)	Prec@1 32.812 (34.024)	Prec@5 60.938 (64.376)
Epoch: [14][3630/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 2.6065 (2.7693)	Prec@1 39.062 (34.026)	Prec@5 67.188 (64.375)
Epoch: [14][3640/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 2.8984 (2.7695)	Prec@1 34.375 (34.025)	Prec@5 60.938 (64.372)
Epoch: [14][3650/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.6333 (2.7697)	Prec@1 37.500 (34.025)	Prec@5 69.531 (64.370)
Epoch: [14][3660/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 2.6022 (2.7696)	Prec@1 35.938 (34.025)	Prec@5 69.531 (64.373)
Epoch: [14][3670/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 3.2092 (2.7696)	Prec@1 25.781 (34.026)	Prec@5 57.812 (64.372)
Epoch: [14][3680/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 2.6910 (2.7697)	Prec@1 33.594 (34.025)	Prec@5 63.281 (64.370)
Epoch: [14][3690/14090]	Time 0.891 (0.766)	Data 0.001 (0.002)	Loss 2.7629 (2.7695)	Prec@1 35.938 (34.027)	Prec@5 66.406 (64.378)
Epoch: [14][3700/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.5706 (2.7696)	Prec@1 34.375 (34.023)	Prec@5 66.406 (64.377)
Epoch: [14][3710/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.7480 (2.7696)	Prec@1 32.031 (34.019)	Prec@5 63.281 (64.378)
Epoch: [14][3720/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 2.9491 (2.7696)	Prec@1 35.156 (34.014)	Prec@5 64.062 (64.382)
Epoch: [14][3730/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 2.5294 (2.7696)	Prec@1 39.062 (34.018)	Prec@5 71.875 (64.380)
Epoch: [14][3740/14090]	Time 0.761 (0.766)	Data 0.001 (0.002)	Loss 2.6590 (2.7695)	Prec@1 32.031 (34.016)	Prec@5 70.312 (64.382)
Epoch: [14][3750/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.8907 (2.7695)	Prec@1 30.469 (34.015)	Prec@5 61.719 (64.379)
Epoch: [14][3760/14090]	Time 0.879 (0.766)	Data 0.001 (0.002)	Loss 2.7241 (2.7697)	Prec@1 35.938 (34.012)	Prec@5 64.062 (64.376)
Epoch: [14][3770/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.2087 (2.7695)	Prec@1 47.656 (34.016)	Prec@5 71.094 (64.381)
Epoch: [14][3780/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 3.0886 (2.7695)	Prec@1 28.125 (34.017)	Prec@5 57.812 (64.381)
Epoch: [14][3790/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 2.6912 (2.7693)	Prec@1 35.156 (34.020)	Prec@5 65.625 (64.383)
Epoch: [14][3800/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 2.7464 (2.7691)	Prec@1 35.156 (34.023)	Prec@5 63.281 (64.383)
Epoch: [14][3810/14090]	Time 0.726 (0.766)	Data 0.001 (0.002)	Loss 2.9342 (2.7693)	Prec@1 33.594 (34.023)	Prec@5 57.031 (64.383)
Epoch: [14][3820/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 2.8408 (2.7692)	Prec@1 36.719 (34.026)	Prec@5 67.188 (64.385)
Epoch: [14][3830/14090]	Time 0.864 (0.766)	Data 0.001 (0.002)	Loss 2.8249 (2.7692)	Prec@1 32.031 (34.024)	Prec@5 57.031 (64.382)
Epoch: [14][3840/14090]	Time 0.778 (0.766)	Data 0.001 (0.002)	Loss 2.7498 (2.7692)	Prec@1 32.812 (34.026)	Prec@5 64.844 (64.380)
Epoch: [14][3850/14090]	Time 0.791 (0.766)	Data 0.001 (0.002)	Loss 2.7836 (2.7691)	Prec@1 32.812 (34.028)	Prec@5 61.719 (64.378)
Epoch: [14][3860/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 2.6936 (2.7693)	Prec@1 34.375 (34.029)	Prec@5 67.969 (64.379)
Epoch: [14][3870/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.5042 (2.7691)	Prec@1 42.188 (34.033)	Prec@5 64.844 (64.380)
Epoch: [14][3880/14090]	Time 0.726 (0.766)	Data 0.001 (0.002)	Loss 2.5003 (2.7689)	Prec@1 39.844 (34.036)	Prec@5 70.312 (64.388)
Epoch: [14][3890/14090]	Time 0.767 (0.766)	Data 0.001 (0.002)	Loss 2.7708 (2.7694)	Prec@1 39.844 (34.029)	Prec@5 59.375 (64.378)
Epoch: [14][3900/14090]	Time 0.846 (0.766)	Data 0.001 (0.002)	Loss 2.6375 (2.7693)	Prec@1 35.938 (34.028)	Prec@5 71.094 (64.383)
Epoch: [14][3910/14090]	Time 0.724 (0.766)	Data 0.001 (0.002)	Loss 2.6039 (2.7689)	Prec@1 39.844 (34.036)	Prec@5 70.312 (64.390)
Epoch: [14][3920/14090]	Time 0.726 (0.766)	Data 0.001 (0.002)	Loss 2.5600 (2.7688)	Prec@1 38.281 (34.037)	Prec@5 69.531 (64.391)
Epoch: [14][3930/14090]	Time 0.782 (0.766)	Data 0.001 (0.002)	Loss 2.8527 (2.7688)	Prec@1 32.812 (34.037)	Prec@5 59.375 (64.388)
Epoch: [14][3940/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.8365 (2.7687)	Prec@1 31.250 (34.039)	Prec@5 60.156 (64.393)
Epoch: [14][3950/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 2.6924 (2.7686)	Prec@1 33.594 (34.035)	Prec@5 65.625 (64.393)
Epoch: [14][3960/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 2.7521 (2.7685)	Prec@1 34.375 (34.040)	Prec@5 61.719 (64.394)
Epoch: [14][3970/14090]	Time 0.810 (0.766)	Data 0.001 (0.002)	Loss 2.8062 (2.7685)	Prec@1 32.812 (34.044)	Prec@5 62.500 (64.395)
Epoch: [14][3980/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 2.5688 (2.7683)	Prec@1 35.156 (34.044)	Prec@5 71.875 (64.397)
Epoch: [14][3990/14090]	Time 0.767 (0.766)	Data 0.001 (0.002)	Loss 2.7903 (2.7686)	Prec@1 32.812 (34.037)	Prec@5 59.375 (64.387)
Epoch: [14][4000/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.6385 (2.7685)	Prec@1 37.500 (34.040)	Prec@5 66.406 (64.390)
Epoch: [14][4010/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 2.6845 (2.7686)	Prec@1 39.062 (34.041)	Prec@5 67.969 (64.389)
Epoch: [14][4020/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 2.7734 (2.7686)	Prec@1 33.594 (34.042)	Prec@5 63.281 (64.388)
Epoch: [14][4030/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 2.6043 (2.7684)	Prec@1 34.375 (34.045)	Prec@5 70.312 (64.392)
Epoch: [14][4040/14090]	Time 0.887 (0.766)	Data 0.001 (0.002)	Loss 2.9052 (2.7683)	Prec@1 32.812 (34.048)	Prec@5 60.156 (64.395)
Epoch: [14][4050/14090]	Time 0.772 (0.766)	Data 0.001 (0.002)	Loss 2.7598 (2.7683)	Prec@1 33.594 (34.051)	Prec@5 66.406 (64.397)
Epoch: [14][4060/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.6170 (2.7681)	Prec@1 35.938 (34.052)	Prec@5 66.406 (64.400)
Epoch: [14][4070/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 2.5665 (2.7680)	Prec@1 42.969 (34.059)	Prec@5 65.625 (64.401)
Epoch: [14][4080/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.7240 (2.7678)	Prec@1 36.719 (34.058)	Prec@5 68.750 (64.404)
Epoch: [14][4090/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.9898 (2.7679)	Prec@1 30.469 (34.058)	Prec@5 60.938 (64.402)
Epoch: [14][4100/14090]	Time 0.770 (0.766)	Data 0.001 (0.002)	Loss 2.8506 (2.7678)	Prec@1 29.688 (34.062)	Prec@5 63.281 (64.408)
Epoch: [14][4110/14090]	Time 0.880 (0.766)	Data 0.001 (0.002)	Loss 2.3856 (2.7676)	Prec@1 38.281 (34.065)	Prec@5 74.219 (64.407)
Epoch: [14][4120/14090]	Time 0.777 (0.766)	Data 0.001 (0.002)	Loss 3.1419 (2.7676)	Prec@1 25.781 (34.071)	Prec@5 57.812 (64.409)
Epoch: [14][4130/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 2.6459 (2.7676)	Prec@1 32.031 (34.070)	Prec@5 67.969 (64.413)
Epoch: [14][4140/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.4010 (2.7675)	Prec@1 43.750 (34.072)	Prec@5 72.656 (64.411)
Epoch: [14][4150/14090]	Time 0.727 (0.766)	Data 0.001 (0.002)	Loss 2.9232 (2.7679)	Prec@1 29.688 (34.063)	Prec@5 58.594 (64.405)
Epoch: [14][4160/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 3.0075 (2.7682)	Prec@1 28.906 (34.057)	Prec@5 57.812 (64.400)
Epoch: [14][4170/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.8395 (2.7682)	Prec@1 38.281 (34.058)	Prec@5 58.594 (64.399)
Epoch: [14][4180/14090]	Time 0.841 (0.766)	Data 0.001 (0.002)	Loss 2.8840 (2.7682)	Prec@1 28.125 (34.059)	Prec@5 64.062 (64.399)
Epoch: [14][4190/14090]	Time 0.723 (0.766)	Data 0.001 (0.002)	Loss 2.6261 (2.7679)	Prec@1 37.500 (34.062)	Prec@5 64.844 (64.402)
Epoch: [14][4200/14090]	Time 0.726 (0.766)	Data 0.001 (0.002)	Loss 2.6059 (2.7677)	Prec@1 40.625 (34.069)	Prec@5 67.969 (64.402)
Epoch: [14][4210/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 2.5753 (2.7678)	Prec@1 36.719 (34.066)	Prec@5 69.531 (64.402)
Epoch: [14][4220/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.8337 (2.7676)	Prec@1 37.500 (34.069)	Prec@5 69.531 (64.408)
Epoch: [14][4230/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.8794 (2.7676)	Prec@1 30.469 (34.070)	Prec@5 64.062 (64.406)
Epoch: [14][4240/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.9277 (2.7676)	Prec@1 27.344 (34.067)	Prec@5 61.719 (64.403)
Epoch: [14][4250/14090]	Time 0.868 (0.766)	Data 0.001 (0.002)	Loss 3.0525 (2.7678)	Prec@1 30.469 (34.061)	Prec@5 62.500 (64.400)
Epoch: [14][4260/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.6417 (2.7677)	Prec@1 32.812 (34.061)	Prec@5 66.406 (64.399)
Epoch: [14][4270/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 2.7399 (2.7678)	Prec@1 30.469 (34.056)	Prec@5 64.062 (64.397)
Epoch: [14][4280/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 3.1776 (2.7677)	Prec@1 25.781 (34.059)	Prec@5 50.000 (64.394)
Epoch: [14][4290/14090]	Time 0.765 (0.766)	Data 0.001 (0.002)	Loss 3.1057 (2.7680)	Prec@1 27.344 (34.055)	Prec@5 55.469 (64.389)
Epoch: [14][4300/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 2.7179 (2.7679)	Prec@1 39.062 (34.055)	Prec@5 67.188 (64.389)
Epoch: [14][4310/14090]	Time 0.770 (0.766)	Data 0.001 (0.002)	Loss 2.8620 (2.7679)	Prec@1 25.781 (34.055)	Prec@5 66.406 (64.390)
Epoch: [14][4320/14090]	Time 0.851 (0.766)	Data 0.001 (0.002)	Loss 2.4036 (2.7677)	Prec@1 44.531 (34.058)	Prec@5 69.531 (64.394)
Epoch: [14][4330/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 2.5009 (2.7677)	Prec@1 32.812 (34.058)	Prec@5 70.312 (64.396)
Epoch: [14][4340/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 3.0820 (2.7678)	Prec@1 29.688 (34.059)	Prec@5 58.594 (64.394)
Epoch: [14][4350/14090]	Time 0.774 (0.766)	Data 0.001 (0.002)	Loss 2.7229 (2.7675)	Prec@1 28.906 (34.064)	Prec@5 61.719 (64.400)
Epoch: [14][4360/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.9029 (2.7677)	Prec@1 35.938 (34.059)	Prec@5 64.844 (64.401)
Epoch: [14][4370/14090]	Time 0.724 (0.766)	Data 0.001 (0.002)	Loss 2.6500 (2.7679)	Prec@1 39.844 (34.060)	Prec@5 65.625 (64.400)
Epoch: [14][4380/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 2.8718 (2.7677)	Prec@1 34.375 (34.061)	Prec@5 59.375 (64.403)
Epoch: [14][4390/14090]	Time 0.850 (0.766)	Data 0.001 (0.002)	Loss 2.4521 (2.7679)	Prec@1 37.500 (34.057)	Prec@5 71.875 (64.399)
Epoch: [14][4400/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 3.0308 (2.7681)	Prec@1 31.250 (34.054)	Prec@5 56.250 (64.392)
Epoch: [14][4410/14090]	Time 0.768 (0.766)	Data 0.001 (0.002)	Loss 3.1277 (2.7683)	Prec@1 30.469 (34.054)	Prec@5 53.125 (64.387)
Epoch: [14][4420/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.4880 (2.7684)	Prec@1 34.375 (34.052)	Prec@5 72.656 (64.386)
Epoch: [14][4430/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 2.6802 (2.7683)	Prec@1 32.812 (34.053)	Prec@5 68.750 (64.387)
Epoch: [14][4440/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 2.7639 (2.7683)	Prec@1 35.938 (34.054)	Prec@5 61.719 (64.387)
Epoch: [14][4450/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 3.0395 (2.7683)	Prec@1 32.812 (34.056)	Prec@5 57.031 (64.383)
Epoch: [14][4460/14090]	Time 0.880 (0.766)	Data 0.001 (0.002)	Loss 2.9268 (2.7684)	Prec@1 34.375 (34.056)	Prec@5 60.938 (64.383)
Epoch: [14][4470/14090]	Time 0.726 (0.766)	Data 0.001 (0.002)	Loss 2.8311 (2.7684)	Prec@1 32.031 (34.055)	Prec@5 62.500 (64.382)
Epoch: [14][4480/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.7620 (2.7684)	Prec@1 29.688 (34.051)	Prec@5 62.500 (64.382)
Epoch: [14][4490/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 2.6010 (2.7687)	Prec@1 40.625 (34.048)	Prec@5 68.750 (64.375)
Epoch: [14][4500/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 2.4647 (2.7688)	Prec@1 41.406 (34.048)	Prec@5 75.000 (64.378)
Epoch: [14][4510/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 2.9311 (2.7690)	Prec@1 31.250 (34.042)	Prec@5 63.281 (64.373)
Epoch: [14][4520/14090]	Time 0.765 (0.766)	Data 0.001 (0.002)	Loss 2.9292 (2.7691)	Prec@1 26.562 (34.041)	Prec@5 61.719 (64.368)
Epoch: [14][4530/14090]	Time 0.884 (0.766)	Data 0.001 (0.002)	Loss 2.9915 (2.7693)	Prec@1 29.688 (34.035)	Prec@5 60.156 (64.366)
Epoch: [14][4540/14090]	Time 0.761 (0.766)	Data 0.001 (0.002)	Loss 2.5877 (2.7691)	Prec@1 36.719 (34.038)	Prec@5 66.406 (64.369)
Epoch: [14][4550/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.7780 (2.7690)	Prec@1 35.156 (34.042)	Prec@5 64.062 (64.373)
Epoch: [14][4560/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.7271 (2.7690)	Prec@1 31.250 (34.044)	Prec@5 62.500 (64.374)
Epoch: [14][4570/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 2.8412 (2.7691)	Prec@1 32.812 (34.044)	Prec@5 64.844 (64.376)
Epoch: [14][4580/14090]	Time 0.728 (0.766)	Data 0.001 (0.002)	Loss 2.8330 (2.7692)	Prec@1 29.688 (34.043)	Prec@5 60.938 (64.371)
Epoch: [14][4590/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 2.6047 (2.7693)	Prec@1 42.969 (34.043)	Prec@5 66.406 (64.369)
Epoch: [14][4600/14090]	Time 0.898 (0.766)	Data 0.001 (0.002)	Loss 2.7509 (2.7693)	Prec@1 29.688 (34.046)	Prec@5 66.406 (64.374)
Epoch: [14][4610/14090]	Time 0.727 (0.766)	Data 0.001 (0.002)	Loss 2.5794 (2.7692)	Prec@1 35.938 (34.047)	Prec@5 67.188 (64.374)
Epoch: [14][4620/14090]	Time 0.768 (0.766)	Data 0.001 (0.002)	Loss 2.8274 (2.7692)	Prec@1 34.375 (34.048)	Prec@5 60.938 (64.376)
Epoch: [14][4630/14090]	Time 0.785 (0.766)	Data 0.001 (0.002)	Loss 2.8415 (2.7689)	Prec@1 32.812 (34.058)	Prec@5 64.062 (64.381)
Epoch: [14][4640/14090]	Time 0.780 (0.766)	Data 0.001 (0.002)	Loss 2.9394 (2.7691)	Prec@1 25.000 (34.054)	Prec@5 64.844 (64.379)
Epoch: [14][4650/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 3.0152 (2.7692)	Prec@1 24.219 (34.053)	Prec@5 59.375 (64.376)
Epoch: [14][4660/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.9090 (2.7690)	Prec@1 30.469 (34.056)	Prec@5 57.812 (64.378)
Epoch: [14][4670/14090]	Time 0.820 (0.766)	Data 0.001 (0.002)	Loss 2.5791 (2.7688)	Prec@1 35.938 (34.060)	Prec@5 71.094 (64.381)
Epoch: [14][4680/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.8711 (2.7689)	Prec@1 35.156 (34.061)	Prec@5 56.250 (64.378)
Epoch: [14][4690/14090]	Time 0.781 (0.766)	Data 0.001 (0.002)	Loss 2.5674 (2.7689)	Prec@1 39.844 (34.061)	Prec@5 70.312 (64.378)
Epoch: [14][4700/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.8203 (2.7690)	Prec@1 31.250 (34.056)	Prec@5 58.594 (64.375)
Epoch: [14][4710/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 2.8357 (2.7691)	Prec@1 33.594 (34.056)	Prec@5 59.375 (64.370)
Epoch: [14][4720/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 2.7386 (2.7691)	Prec@1 40.625 (34.055)	Prec@5 67.188 (64.373)
Epoch: [14][4730/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 2.6436 (2.7692)	Prec@1 40.625 (34.055)	Prec@5 63.281 (64.369)
Epoch: [14][4740/14090]	Time 0.853 (0.766)	Data 0.001 (0.002)	Loss 2.5466 (2.7691)	Prec@1 35.938 (34.056)	Prec@5 72.656 (64.370)
Epoch: [14][4750/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.5513 (2.7692)	Prec@1 39.062 (34.057)	Prec@5 70.312 (64.371)
Epoch: [14][4760/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 2.8671 (2.7693)	Prec@1 35.938 (34.056)	Prec@5 62.500 (64.368)
Epoch: [14][4770/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 2.7516 (2.7692)	Prec@1 32.031 (34.057)	Prec@5 61.719 (64.366)
Epoch: [14][4780/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 2.6440 (2.7691)	Prec@1 35.938 (34.053)	Prec@5 69.531 (64.370)
Epoch: [14][4790/14090]	Time 0.763 (0.766)	Data 0.001 (0.002)	Loss 2.9245 (2.7691)	Prec@1 27.344 (34.053)	Prec@5 64.062 (64.373)
Epoch: [14][4800/14090]	Time 0.777 (0.766)	Data 0.001 (0.002)	Loss 2.8286 (2.7692)	Prec@1 32.031 (34.051)	Prec@5 64.844 (64.372)
Epoch: [14][4810/14090]	Time 0.837 (0.766)	Data 0.001 (0.002)	Loss 2.5712 (2.7690)	Prec@1 35.156 (34.053)	Prec@5 66.406 (64.376)
Epoch: [14][4820/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 2.8017 (2.7689)	Prec@1 31.250 (34.054)	Prec@5 65.625 (64.379)
Epoch: [14][4830/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 2.4700 (2.7688)	Prec@1 40.625 (34.054)	Prec@5 69.531 (64.382)
Epoch: [14][4840/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 2.9496 (2.7689)	Prec@1 35.938 (34.053)	Prec@5 57.031 (64.381)
Epoch: [14][4850/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.7117 (2.7688)	Prec@1 33.594 (34.054)	Prec@5 66.406 (64.384)
Epoch: [14][4860/14090]	Time 0.758 (0.766)	Data 0.003 (0.002)	Loss 2.8240 (2.7688)	Prec@1 31.250 (34.051)	Prec@5 60.938 (64.384)
Epoch: [14][4870/14090]	Time 0.728 (0.766)	Data 0.001 (0.002)	Loss 2.7745 (2.7687)	Prec@1 35.156 (34.051)	Prec@5 64.062 (64.388)
Epoch: [14][4880/14090]	Time 0.843 (0.766)	Data 0.001 (0.002)	Loss 2.9746 (2.7689)	Prec@1 29.688 (34.046)	Prec@5 61.719 (64.385)
Epoch: [14][4890/14090]	Time 0.779 (0.766)	Data 0.001 (0.002)	Loss 2.8449 (2.7690)	Prec@1 32.812 (34.045)	Prec@5 65.625 (64.383)
Epoch: [14][4900/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 2.4985 (2.7689)	Prec@1 34.375 (34.044)	Prec@5 69.531 (64.388)
Epoch: [14][4910/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 2.8134 (2.7687)	Prec@1 35.938 (34.045)	Prec@5 64.062 (64.392)
Epoch: [14][4920/14090]	Time 0.771 (0.766)	Data 0.001 (0.002)	Loss 2.6332 (2.7686)	Prec@1 38.281 (34.049)	Prec@5 64.844 (64.394)
Epoch: [14][4930/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 2.8011 (2.7685)	Prec@1 32.031 (34.051)	Prec@5 61.719 (64.395)
Epoch: [14][4940/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 2.7711 (2.7685)	Prec@1 32.031 (34.049)	Prec@5 67.188 (64.395)
Epoch: [14][4950/14090]	Time 0.817 (0.766)	Data 0.001 (0.002)	Loss 2.7498 (2.7685)	Prec@1 31.250 (34.049)	Prec@5 65.625 (64.394)
Epoch: [14][4960/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 3.2582 (2.7686)	Prec@1 26.562 (34.045)	Prec@5 53.125 (64.391)
Epoch: [14][4970/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 2.7400 (2.7686)	Prec@1 33.594 (34.042)	Prec@5 67.969 (64.392)
Epoch: [14][4980/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 2.6907 (2.7686)	Prec@1 42.969 (34.046)	Prec@5 64.844 (64.395)
Epoch: [14][4990/14090]	Time 0.728 (0.766)	Data 0.001 (0.002)	Loss 2.8670 (2.7685)	Prec@1 27.344 (34.045)	Prec@5 60.156 (64.396)
Epoch: [14][5000/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.7666 (2.7685)	Prec@1 32.812 (34.045)	Prec@5 67.969 (64.397)
Epoch: [14][5010/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.8935 (2.7686)	Prec@1 39.844 (34.048)	Prec@5 64.062 (64.399)
Epoch: [14][5020/14090]	Time 0.877 (0.766)	Data 0.001 (0.002)	Loss 2.7421 (2.7686)	Prec@1 37.500 (34.044)	Prec@5 64.844 (64.401)
Epoch: [14][5030/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 2.7294 (2.7687)	Prec@1 31.250 (34.043)	Prec@5 66.406 (64.400)
Epoch: [14][5040/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.7124 (2.7687)	Prec@1 34.375 (34.042)	Prec@5 68.750 (64.401)
Epoch: [14][5050/14090]	Time 0.769 (0.766)	Data 0.001 (0.002)	Loss 2.5451 (2.7686)	Prec@1 38.281 (34.044)	Prec@5 69.531 (64.402)
Epoch: [14][5060/14090]	Time 0.728 (0.766)	Data 0.001 (0.002)	Loss 2.9408 (2.7686)	Prec@1 32.812 (34.041)	Prec@5 60.938 (64.403)
Epoch: [14][5070/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 2.6776 (2.7685)	Prec@1 29.688 (34.045)	Prec@5 66.406 (64.406)
Epoch: [14][5080/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.8994 (2.7684)	Prec@1 32.812 (34.051)	Prec@5 63.281 (64.407)
Epoch: [14][5090/14090]	Time 0.837 (0.766)	Data 0.001 (0.002)	Loss 2.7638 (2.7684)	Prec@1 32.031 (34.049)	Prec@5 66.406 (64.405)
Epoch: [14][5100/14090]	Time 0.727 (0.766)	Data 0.001 (0.002)	Loss 2.8420 (2.7683)	Prec@1 38.281 (34.050)	Prec@5 64.062 (64.412)
Epoch: [14][5110/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.9142 (2.7684)	Prec@1 28.906 (34.051)	Prec@5 58.594 (64.411)
Epoch: [14][5120/14090]	Time 0.767 (0.766)	Data 0.001 (0.002)	Loss 2.5531 (2.7684)	Prec@1 34.375 (34.053)	Prec@5 67.969 (64.411)
Epoch: [14][5130/14090]	Time 0.728 (0.766)	Data 0.001 (0.002)	Loss 2.4718 (2.7685)	Prec@1 39.844 (34.055)	Prec@5 72.656 (64.409)
Epoch: [14][5140/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.9874 (2.7685)	Prec@1 32.031 (34.056)	Prec@5 61.719 (64.407)
Epoch: [14][5150/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 2.6999 (2.7686)	Prec@1 34.375 (34.059)	Prec@5 64.844 (64.404)
Epoch: [14][5160/14090]	Time 0.848 (0.766)	Data 0.001 (0.002)	Loss 2.9051 (2.7685)	Prec@1 26.562 (34.063)	Prec@5 62.500 (64.406)
Epoch: [14][5170/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 2.9335 (2.7685)	Prec@1 28.125 (34.060)	Prec@5 59.375 (64.403)
Epoch: [14][5180/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.8793 (2.7686)	Prec@1 30.469 (34.059)	Prec@5 63.281 (64.400)
Epoch: [14][5190/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 2.8327 (2.7686)	Prec@1 35.938 (34.059)	Prec@5 60.938 (64.400)
Epoch: [14][5200/14090]	Time 0.788 (0.766)	Data 0.001 (0.002)	Loss 2.8975 (2.7686)	Prec@1 35.156 (34.061)	Prec@5 60.156 (64.403)
Epoch: [14][5210/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 2.6339 (2.7685)	Prec@1 35.156 (34.065)	Prec@5 69.531 (64.404)
Epoch: [14][5220/14090]	Time 0.727 (0.766)	Data 0.001 (0.002)	Loss 2.6765 (2.7686)	Prec@1 35.156 (34.061)	Prec@5 66.406 (64.404)
Epoch: [14][5230/14090]	Time 0.843 (0.766)	Data 0.001 (0.002)	Loss 2.7609 (2.7686)	Prec@1 32.031 (34.058)	Prec@5 64.844 (64.404)
Epoch: [14][5240/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 3.0409 (2.7685)	Prec@1 29.688 (34.061)	Prec@5 57.031 (64.406)
Epoch: [14][5250/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.7895 (2.7685)	Prec@1 35.156 (34.062)	Prec@5 61.719 (64.404)
Epoch: [14][5260/14090]	Time 0.763 (0.766)	Data 0.001 (0.002)	Loss 2.4903 (2.7684)	Prec@1 37.500 (34.062)	Prec@5 69.531 (64.408)
Epoch: [14][5270/14090]	Time 0.767 (0.766)	Data 0.001 (0.002)	Loss 2.5569 (2.7684)	Prec@1 35.156 (34.063)	Prec@5 67.969 (64.406)
Epoch: [14][5280/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 2.6424 (2.7684)	Prec@1 31.250 (34.063)	Prec@5 67.188 (64.406)
Epoch: [14][5290/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 2.7077 (2.7683)	Prec@1 37.500 (34.066)	Prec@5 63.281 (64.405)
Epoch: [14][5300/14090]	Time 0.865 (0.766)	Data 0.001 (0.002)	Loss 2.5552 (2.7684)	Prec@1 35.156 (34.061)	Prec@5 67.969 (64.407)
Epoch: [14][5310/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.7700 (2.7684)	Prec@1 36.719 (34.060)	Prec@5 65.625 (64.402)
Epoch: [14][5320/14090]	Time 0.784 (0.766)	Data 0.003 (0.002)	Loss 2.9598 (2.7684)	Prec@1 29.688 (34.059)	Prec@5 61.719 (64.403)
Epoch: [14][5330/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.7700 (2.7684)	Prec@1 35.938 (34.063)	Prec@5 62.500 (64.405)
Epoch: [14][5340/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 2.9759 (2.7686)	Prec@1 27.344 (34.056)	Prec@5 57.031 (64.400)
Epoch: [14][5350/14090]	Time 0.727 (0.766)	Data 0.001 (0.002)	Loss 2.9479 (2.7687)	Prec@1 31.250 (34.052)	Prec@5 63.281 (64.399)
Epoch: [14][5360/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.4865 (2.7688)	Prec@1 40.625 (34.053)	Prec@5 69.531 (64.399)
Epoch: [14][5370/14090]	Time 0.864 (0.766)	Data 0.001 (0.002)	Loss 2.4669 (2.7687)	Prec@1 39.844 (34.055)	Prec@5 70.312 (64.405)
Epoch: [14][5380/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 2.6410 (2.7686)	Prec@1 39.844 (34.055)	Prec@5 71.094 (64.405)
Epoch: [14][5390/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 2.6834 (2.7685)	Prec@1 33.594 (34.056)	Prec@5 67.969 (64.408)
Epoch: [14][5400/14090]	Time 0.765 (0.766)	Data 0.001 (0.002)	Loss 2.7326 (2.7685)	Prec@1 31.250 (34.057)	Prec@5 64.062 (64.408)
Epoch: [14][5410/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.6410 (2.7685)	Prec@1 32.812 (34.056)	Prec@5 69.531 (64.410)
Epoch: [14][5420/14090]	Time 0.785 (0.766)	Data 0.001 (0.002)	Loss 2.5564 (2.7685)	Prec@1 40.625 (34.057)	Prec@5 70.312 (64.410)
Epoch: [14][5430/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.7598 (2.7686)	Prec@1 38.281 (34.058)	Prec@5 63.281 (64.409)
Epoch: [14][5440/14090]	Time 0.863 (0.766)	Data 0.001 (0.002)	Loss 2.5714 (2.7686)	Prec@1 41.406 (34.058)	Prec@5 67.969 (64.409)
Epoch: [14][5450/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 2.6829 (2.7685)	Prec@1 39.844 (34.062)	Prec@5 63.281 (64.407)
Epoch: [14][5460/14090]	Time 0.772 (0.766)	Data 0.001 (0.002)	Loss 3.0749 (2.7687)	Prec@1 28.906 (34.058)	Prec@5 59.375 (64.403)
Epoch: [14][5470/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 2.7259 (2.7688)	Prec@1 33.594 (34.057)	Prec@5 68.750 (64.402)
Epoch: [14][5480/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.3606 (2.7686)	Prec@1 39.844 (34.059)	Prec@5 76.562 (64.408)
Epoch: [14][5490/14090]	Time 0.770 (0.766)	Data 0.001 (0.002)	Loss 2.6207 (2.7686)	Prec@1 28.906 (34.056)	Prec@5 69.531 (64.408)
Epoch: [14][5500/14090]	Time 0.724 (0.766)	Data 0.001 (0.002)	Loss 2.6233 (2.7685)	Prec@1 35.156 (34.059)	Prec@5 68.750 (64.411)
Epoch: [14][5510/14090]	Time 0.838 (0.766)	Data 0.001 (0.002)	Loss 2.8558 (2.7685)	Prec@1 35.156 (34.057)	Prec@5 63.281 (64.411)
Epoch: [14][5520/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.6389 (2.7685)	Prec@1 36.719 (34.056)	Prec@5 74.219 (64.413)
Epoch: [14][5530/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 2.7877 (2.7685)	Prec@1 34.375 (34.058)	Prec@5 60.156 (64.411)
Epoch: [14][5540/14090]	Time 0.726 (0.766)	Data 0.001 (0.002)	Loss 2.7748 (2.7686)	Prec@1 34.375 (34.056)	Prec@5 63.281 (64.410)
Epoch: [14][5550/14090]	Time 0.761 (0.766)	Data 0.001 (0.002)	Loss 3.2682 (2.7688)	Prec@1 21.875 (34.052)	Prec@5 50.000 (64.404)
Epoch: [14][5560/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.4167 (2.7685)	Prec@1 39.844 (34.058)	Prec@5 66.406 (64.408)
Epoch: [14][5570/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 2.6678 (2.7684)	Prec@1 32.812 (34.061)	Prec@5 67.188 (64.409)
Epoch: [14][5580/14090]	Time 0.886 (0.766)	Data 0.002 (0.002)	Loss 2.9676 (2.7685)	Prec@1 30.469 (34.058)	Prec@5 58.594 (64.409)
Epoch: [14][5590/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.8064 (2.7685)	Prec@1 34.375 (34.061)	Prec@5 64.062 (64.409)
Epoch: [14][5600/14090]	Time 0.785 (0.766)	Data 0.001 (0.002)	Loss 2.7499 (2.7685)	Prec@1 29.688 (34.057)	Prec@5 64.844 (64.410)
Epoch: [14][5610/14090]	Time 0.780 (0.766)	Data 0.001 (0.002)	Loss 2.6512 (2.7685)	Prec@1 32.031 (34.055)	Prec@5 67.969 (64.410)
Epoch: [14][5620/14090]	Time 0.754 (0.766)	Data 0.002 (0.002)	Loss 2.5369 (2.7684)	Prec@1 39.844 (34.055)	Prec@5 67.188 (64.413)
Epoch: [14][5630/14090]	Time 0.768 (0.766)	Data 0.001 (0.002)	Loss 2.7512 (2.7685)	Prec@1 33.594 (34.054)	Prec@5 63.281 (64.411)
Epoch: [14][5640/14090]	Time 0.725 (0.766)	Data 0.001 (0.002)	Loss 2.6403 (2.7685)	Prec@1 33.594 (34.055)	Prec@5 70.312 (64.412)
Epoch: [14][5650/14090]	Time 0.862 (0.766)	Data 0.001 (0.002)	Loss 2.7232 (2.7685)	Prec@1 36.719 (34.055)	Prec@5 64.062 (64.413)
Epoch: [14][5660/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 2.5402 (2.7684)	Prec@1 35.156 (34.059)	Prec@5 71.094 (64.414)
Epoch: [14][5670/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 2.7301 (2.7682)	Prec@1 33.594 (34.063)	Prec@5 62.500 (64.417)
Epoch: [14][5680/14090]	Time 0.777 (0.766)	Data 0.001 (0.002)	Loss 2.8486 (2.7682)	Prec@1 29.688 (34.063)	Prec@5 60.938 (64.417)
Epoch: [14][5690/14090]	Time 0.787 (0.766)	Data 0.001 (0.002)	Loss 2.7438 (2.7682)	Prec@1 32.031 (34.061)	Prec@5 64.062 (64.416)
Epoch: [14][5700/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 2.8360 (2.7682)	Prec@1 28.906 (34.058)	Prec@5 64.844 (64.417)
Epoch: [14][5710/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.8138 (2.7683)	Prec@1 28.906 (34.057)	Prec@5 59.375 (64.414)
Epoch: [14][5720/14090]	Time 0.859 (0.766)	Data 0.001 (0.001)	Loss 2.7898 (2.7682)	Prec@1 38.281 (34.058)	Prec@5 64.062 (64.416)
Epoch: [14][5730/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.7850 (2.7682)	Prec@1 33.594 (34.060)	Prec@5 61.719 (64.417)
Epoch: [14][5740/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.8601 (2.7682)	Prec@1 25.781 (34.056)	Prec@5 61.719 (64.417)
Epoch: [14][5750/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.8577 (2.7683)	Prec@1 34.375 (34.056)	Prec@5 64.062 (64.416)
Epoch: [14][5760/14090]	Time 0.722 (0.766)	Data 0.001 (0.001)	Loss 2.7342 (2.7684)	Prec@1 36.719 (34.056)	Prec@5 64.844 (64.413)
Epoch: [14][5770/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.8244 (2.7684)	Prec@1 32.812 (34.053)	Prec@5 63.281 (64.413)
Epoch: [14][5780/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 3.1985 (2.7685)	Prec@1 25.781 (34.052)	Prec@5 57.031 (64.415)
Epoch: [14][5790/14090]	Time 0.890 (0.766)	Data 0.001 (0.001)	Loss 2.7545 (2.7685)	Prec@1 40.625 (34.052)	Prec@5 67.969 (64.414)
Epoch: [14][5800/14090]	Time 0.739 (0.766)	Data 0.002 (0.001)	Loss 2.7962 (2.7686)	Prec@1 32.812 (34.050)	Prec@5 66.406 (64.415)
Epoch: [14][5810/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.9021 (2.7685)	Prec@1 36.719 (34.049)	Prec@5 62.500 (64.416)
Epoch: [14][5820/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.9566 (2.7685)	Prec@1 31.250 (34.051)	Prec@5 58.594 (64.417)
Epoch: [14][5830/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.5894 (2.7685)	Prec@1 38.281 (34.053)	Prec@5 66.406 (64.415)
Epoch: [14][5840/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 2.4162 (2.7683)	Prec@1 39.844 (34.054)	Prec@5 78.125 (64.419)
Epoch: [14][5850/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 2.8327 (2.7682)	Prec@1 33.594 (34.055)	Prec@5 64.844 (64.421)
Epoch: [14][5860/14090]	Time 0.873 (0.766)	Data 0.002 (0.001)	Loss 2.6674 (2.7683)	Prec@1 35.156 (34.051)	Prec@5 67.969 (64.419)
Epoch: [14][5870/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.7221 (2.7683)	Prec@1 35.938 (34.049)	Prec@5 67.969 (64.421)
Epoch: [14][5880/14090]	Time 0.772 (0.766)	Data 0.001 (0.001)	Loss 2.8428 (2.7681)	Prec@1 40.625 (34.054)	Prec@5 65.625 (64.424)
Epoch: [14][5890/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.7241 (2.7679)	Prec@1 30.469 (34.058)	Prec@5 60.938 (64.426)
Epoch: [14][5900/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.5809 (2.7679)	Prec@1 37.500 (34.056)	Prec@5 67.188 (64.427)
Epoch: [14][5910/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.7455 (2.7677)	Prec@1 30.469 (34.056)	Prec@5 63.281 (64.430)
Epoch: [14][5920/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 2.9332 (2.7678)	Prec@1 28.906 (34.054)	Prec@5 60.156 (64.430)
Epoch: [14][5930/14090]	Time 0.861 (0.766)	Data 0.001 (0.001)	Loss 2.9326 (2.7678)	Prec@1 31.250 (34.054)	Prec@5 57.812 (64.427)
Epoch: [14][5940/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.5731 (2.7676)	Prec@1 32.031 (34.054)	Prec@5 65.625 (64.432)
Epoch: [14][5950/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.3878 (2.7676)	Prec@1 46.875 (34.055)	Prec@5 71.094 (64.433)
Epoch: [14][5960/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.4308 (2.7674)	Prec@1 39.062 (34.057)	Prec@5 72.656 (64.438)
Epoch: [14][5970/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.7582 (2.7674)	Prec@1 37.500 (34.059)	Prec@5 64.062 (64.439)
Epoch: [14][5980/14090]	Time 0.766 (0.765)	Data 0.001 (0.001)	Loss 3.1284 (2.7674)	Prec@1 24.219 (34.059)	Prec@5 57.031 (64.438)
Epoch: [14][5990/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.7372 (2.7673)	Prec@1 39.062 (34.062)	Prec@5 62.500 (64.439)
Epoch: [14][6000/14090]	Time 0.862 (0.765)	Data 0.001 (0.001)	Loss 2.6021 (2.7672)	Prec@1 41.406 (34.066)	Prec@5 64.844 (64.442)
Epoch: [14][6010/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 3.0051 (2.7672)	Prec@1 32.031 (34.066)	Prec@5 58.594 (64.444)
Epoch: [14][6020/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.9635 (2.7673)	Prec@1 30.469 (34.067)	Prec@5 60.156 (64.442)
Epoch: [14][6030/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.8429 (2.7674)	Prec@1 32.031 (34.068)	Prec@5 65.625 (64.440)
Epoch: [14][6040/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.8386 (2.7673)	Prec@1 32.812 (34.070)	Prec@5 69.531 (64.443)
Epoch: [14][6050/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 3.0489 (2.7675)	Prec@1 32.031 (34.066)	Prec@5 57.031 (64.441)
Epoch: [14][6060/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.8349 (2.7676)	Prec@1 32.031 (34.066)	Prec@5 62.500 (64.438)
Epoch: [14][6070/14090]	Time 0.866 (0.765)	Data 0.001 (0.001)	Loss 2.6275 (2.7674)	Prec@1 34.375 (34.068)	Prec@5 71.875 (64.441)
Epoch: [14][6080/14090]	Time 0.772 (0.765)	Data 0.001 (0.001)	Loss 2.5476 (2.7675)	Prec@1 42.188 (34.070)	Prec@5 71.094 (64.439)
Epoch: [14][6090/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.7816 (2.7675)	Prec@1 37.500 (34.072)	Prec@5 62.500 (64.438)
Epoch: [14][6100/14090]	Time 0.772 (0.765)	Data 0.001 (0.001)	Loss 2.6942 (2.7675)	Prec@1 37.500 (34.075)	Prec@5 64.844 (64.438)
Epoch: [14][6110/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.6784 (2.7675)	Prec@1 39.844 (34.075)	Prec@5 62.500 (64.438)
Epoch: [14][6120/14090]	Time 0.773 (0.765)	Data 0.001 (0.001)	Loss 3.0259 (2.7675)	Prec@1 28.125 (34.075)	Prec@5 60.156 (64.436)
Epoch: [14][6130/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.7276 (2.7676)	Prec@1 42.969 (34.077)	Prec@5 64.844 (64.436)
Epoch: [14][6140/14090]	Time 0.836 (0.765)	Data 0.001 (0.001)	Loss 2.7492 (2.7676)	Prec@1 32.812 (34.077)	Prec@5 61.719 (64.435)
Epoch: [14][6150/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.6342 (2.7675)	Prec@1 42.188 (34.081)	Prec@5 62.500 (64.438)
Epoch: [14][6160/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 3.0790 (2.7676)	Prec@1 32.812 (34.082)	Prec@5 60.938 (64.437)
Epoch: [14][6170/14090]	Time 0.784 (0.765)	Data 0.001 (0.001)	Loss 2.8672 (2.7675)	Prec@1 35.156 (34.082)	Prec@5 63.281 (64.439)
Epoch: [14][6180/14090]	Time 0.755 (0.765)	Data 0.002 (0.001)	Loss 2.8651 (2.7675)	Prec@1 34.375 (34.081)	Prec@5 56.250 (64.439)
Epoch: [14][6190/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.8119 (2.7675)	Prec@1 34.375 (34.078)	Prec@5 60.156 (64.437)
Epoch: [14][6200/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.9481 (2.7676)	Prec@1 32.031 (34.078)	Prec@5 58.594 (64.435)
Epoch: [14][6210/14090]	Time 0.861 (0.765)	Data 0.001 (0.001)	Loss 2.9589 (2.7676)	Prec@1 31.250 (34.080)	Prec@5 56.250 (64.435)
Epoch: [14][6220/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.8646 (2.7677)	Prec@1 30.469 (34.077)	Prec@5 66.406 (64.434)
Epoch: [14][6230/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.6949 (2.7677)	Prec@1 35.156 (34.076)	Prec@5 67.188 (64.435)
Epoch: [14][6240/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.8301 (2.7677)	Prec@1 27.344 (34.075)	Prec@5 64.062 (64.436)
Epoch: [14][6250/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 2.6273 (2.7677)	Prec@1 37.500 (34.079)	Prec@5 64.062 (64.436)
Epoch: [14][6260/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.8273 (2.7677)	Prec@1 26.562 (34.078)	Prec@5 66.406 (64.434)
Epoch: [14][6270/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.7236 (2.7676)	Prec@1 35.938 (34.083)	Prec@5 65.625 (64.438)
Epoch: [14][6280/14090]	Time 0.870 (0.765)	Data 0.001 (0.001)	Loss 2.8912 (2.7675)	Prec@1 32.031 (34.083)	Prec@5 56.250 (64.441)
Epoch: [14][6290/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.6358 (2.7674)	Prec@1 40.625 (34.085)	Prec@5 64.844 (64.442)
Epoch: [14][6300/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.6438 (2.7674)	Prec@1 39.062 (34.086)	Prec@5 71.094 (64.441)
Epoch: [14][6310/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.7658 (2.7674)	Prec@1 41.406 (34.089)	Prec@5 66.406 (64.444)
Epoch: [14][6320/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.5315 (2.7673)	Prec@1 35.938 (34.090)	Prec@5 67.969 (64.446)
Epoch: [14][6330/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.9359 (2.7674)	Prec@1 41.406 (34.090)	Prec@5 59.375 (64.447)
Epoch: [14][6340/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.7794 (2.7673)	Prec@1 34.375 (34.089)	Prec@5 64.062 (64.448)
Epoch: [14][6350/14090]	Time 0.824 (0.765)	Data 0.001 (0.001)	Loss 2.7284 (2.7673)	Prec@1 34.375 (34.091)	Prec@5 60.938 (64.449)
Epoch: [14][6360/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.5144 (2.7673)	Prec@1 39.844 (34.090)	Prec@5 71.094 (64.450)
Epoch: [14][6370/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.6722 (2.7673)	Prec@1 34.375 (34.092)	Prec@5 65.625 (64.449)
Epoch: [14][6380/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.7503 (2.7674)	Prec@1 32.031 (34.091)	Prec@5 65.625 (64.446)
Epoch: [14][6390/14090]	Time 0.722 (0.765)	Data 0.001 (0.001)	Loss 2.7495 (2.7674)	Prec@1 34.375 (34.091)	Prec@5 65.625 (64.445)
Epoch: [14][6400/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.8854 (2.7674)	Prec@1 31.250 (34.091)	Prec@5 58.594 (64.444)
Epoch: [14][6410/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 2.8658 (2.7674)	Prec@1 31.250 (34.087)	Prec@5 54.688 (64.441)
Epoch: [14][6420/14090]	Time 0.867 (0.765)	Data 0.001 (0.001)	Loss 2.8346 (2.7675)	Prec@1 35.938 (34.087)	Prec@5 62.500 (64.439)
Epoch: [14][6430/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.9466 (2.7676)	Prec@1 33.594 (34.085)	Prec@5 59.375 (64.437)
Epoch: [14][6440/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.7800 (2.7676)	Prec@1 38.281 (34.087)	Prec@5 61.719 (64.438)
Epoch: [14][6450/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.7920 (2.7676)	Prec@1 30.469 (34.087)	Prec@5 60.938 (64.435)
Epoch: [14][6460/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.7741 (2.7675)	Prec@1 33.594 (34.088)	Prec@5 65.625 (64.437)
Epoch: [14][6470/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.7897 (2.7675)	Prec@1 38.281 (34.090)	Prec@5 64.844 (64.440)
Epoch: [14][6480/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.9016 (2.7676)	Prec@1 29.688 (34.090)	Prec@5 60.156 (64.437)
Epoch: [14][6490/14090]	Time 0.844 (0.765)	Data 0.001 (0.001)	Loss 2.9927 (2.7676)	Prec@1 32.031 (34.092)	Prec@5 59.375 (64.439)
Epoch: [14][6500/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.7227 (2.7677)	Prec@1 30.469 (34.090)	Prec@5 63.281 (64.435)
Epoch: [14][6510/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.5587 (2.7677)	Prec@1 42.188 (34.093)	Prec@5 68.750 (64.436)
Epoch: [14][6520/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 2.9920 (2.7678)	Prec@1 20.312 (34.089)	Prec@5 59.375 (64.432)
Epoch: [14][6530/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.9839 (2.7678)	Prec@1 26.562 (34.088)	Prec@5 58.594 (64.431)
Epoch: [14][6540/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.6364 (2.7678)	Prec@1 35.938 (34.089)	Prec@5 69.531 (64.430)
Epoch: [14][6550/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.6677 (2.7679)	Prec@1 37.500 (34.088)	Prec@5 61.719 (64.427)
Epoch: [14][6560/14090]	Time 0.864 (0.765)	Data 0.001 (0.001)	Loss 2.9995 (2.7678)	Prec@1 30.469 (34.089)	Prec@5 60.938 (64.429)
Epoch: [14][6570/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.8179 (2.7680)	Prec@1 34.375 (34.087)	Prec@5 65.625 (64.425)
Epoch: [14][6580/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.8309 (2.7679)	Prec@1 33.594 (34.088)	Prec@5 62.500 (64.427)
Epoch: [14][6590/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.7560 (2.7681)	Prec@1 33.594 (34.084)	Prec@5 63.281 (64.427)
Epoch: [14][6600/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 2.8190 (2.7681)	Prec@1 32.812 (34.085)	Prec@5 60.938 (64.425)
Epoch: [14][6610/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.9823 (2.7681)	Prec@1 27.344 (34.083)	Prec@5 60.938 (64.424)
Epoch: [14][6620/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.7705 (2.7681)	Prec@1 32.031 (34.082)	Prec@5 67.969 (64.424)
Epoch: [14][6630/14090]	Time 0.872 (0.765)	Data 0.001 (0.001)	Loss 2.6163 (2.7680)	Prec@1 40.625 (34.082)	Prec@5 66.406 (64.426)
Epoch: [14][6640/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.7925 (2.7681)	Prec@1 34.375 (34.083)	Prec@5 61.719 (64.424)
Epoch: [14][6650/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 2.6722 (2.7681)	Prec@1 28.125 (34.080)	Prec@5 74.219 (64.424)
Epoch: [14][6660/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.9415 (2.7680)	Prec@1 32.031 (34.083)	Prec@5 59.375 (64.425)
Epoch: [14][6670/14090]	Time 0.776 (0.765)	Data 0.001 (0.001)	Loss 2.8936 (2.7681)	Prec@1 29.688 (34.080)	Prec@5 59.375 (64.424)
Epoch: [14][6680/14090]	Time 0.728 (0.765)	Data 0.002 (0.001)	Loss 2.6915 (2.7680)	Prec@1 36.719 (34.079)	Prec@5 66.406 (64.426)
Epoch: [14][6690/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.4694 (2.7680)	Prec@1 39.062 (34.081)	Prec@5 76.562 (64.425)
Epoch: [14][6700/14090]	Time 0.838 (0.765)	Data 0.001 (0.001)	Loss 2.9522 (2.7680)	Prec@1 34.375 (34.082)	Prec@5 60.156 (64.425)
Epoch: [14][6710/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.8888 (2.7680)	Prec@1 30.469 (34.081)	Prec@5 60.938 (64.424)
Epoch: [14][6720/14090]	Time 0.798 (0.765)	Data 0.001 (0.001)	Loss 2.6986 (2.7681)	Prec@1 39.062 (34.082)	Prec@5 68.750 (64.422)
Epoch: [14][6730/14090]	Time 0.779 (0.765)	Data 0.001 (0.001)	Loss 2.7882 (2.7681)	Prec@1 32.812 (34.080)	Prec@5 59.375 (64.423)
Epoch: [14][6740/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.8175 (2.7682)	Prec@1 38.281 (34.077)	Prec@5 62.500 (64.419)
Epoch: [14][6750/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.8912 (2.7682)	Prec@1 35.156 (34.078)	Prec@5 60.938 (64.421)
Epoch: [14][6760/14090]	Time 0.789 (0.765)	Data 0.001 (0.001)	Loss 2.6734 (2.7683)	Prec@1 32.812 (34.075)	Prec@5 63.281 (64.419)
Epoch: [14][6770/14090]	Time 0.810 (0.765)	Data 0.001 (0.001)	Loss 2.6743 (2.7682)	Prec@1 34.375 (34.079)	Prec@5 70.312 (64.418)
Epoch: [14][6780/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 2.5517 (2.7682)	Prec@1 36.719 (34.077)	Prec@5 65.625 (64.418)
Epoch: [14][6790/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.5343 (2.7681)	Prec@1 38.281 (34.082)	Prec@5 69.531 (64.420)
Epoch: [14][6800/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.6053 (2.7680)	Prec@1 39.844 (34.083)	Prec@5 69.531 (64.420)
Epoch: [14][6810/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.8022 (2.7682)	Prec@1 35.156 (34.080)	Prec@5 59.375 (64.418)
Epoch: [14][6820/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.7246 (2.7682)	Prec@1 35.156 (34.080)	Prec@5 64.062 (64.418)
Epoch: [14][6830/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.5761 (2.7682)	Prec@1 39.844 (34.079)	Prec@5 65.625 (64.416)
Epoch: [14][6840/14090]	Time 0.882 (0.765)	Data 0.001 (0.001)	Loss 2.6145 (2.7683)	Prec@1 33.594 (34.078)	Prec@5 68.750 (64.415)
Epoch: [14][6850/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.6300 (2.7683)	Prec@1 32.812 (34.079)	Prec@5 68.750 (64.414)
Epoch: [14][6860/14090]	Time 0.774 (0.765)	Data 0.001 (0.001)	Loss 2.4416 (2.7683)	Prec@1 46.094 (34.080)	Prec@5 71.875 (64.414)
Epoch: [14][6870/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.4883 (2.7682)	Prec@1 37.500 (34.080)	Prec@5 73.438 (64.415)
Epoch: [14][6880/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.7208 (2.7682)	Prec@1 42.188 (34.082)	Prec@5 66.406 (64.416)
Epoch: [14][6890/14090]	Time 0.767 (0.765)	Data 0.001 (0.001)	Loss 2.8100 (2.7682)	Prec@1 28.906 (34.080)	Prec@5 64.062 (64.416)
Epoch: [14][6900/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.6054 (2.7682)	Prec@1 39.062 (34.079)	Prec@5 65.625 (64.415)
Epoch: [14][6910/14090]	Time 0.873 (0.765)	Data 0.001 (0.001)	Loss 2.7673 (2.7682)	Prec@1 36.719 (34.077)	Prec@5 65.625 (64.418)
Epoch: [14][6920/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.5828 (2.7683)	Prec@1 37.500 (34.074)	Prec@5 67.188 (64.415)
Epoch: [14][6930/14090]	Time 0.773 (0.765)	Data 0.001 (0.001)	Loss 2.7612 (2.7683)	Prec@1 32.812 (34.074)	Prec@5 64.844 (64.415)
Epoch: [14][6940/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 2.6887 (2.7685)	Prec@1 38.281 (34.071)	Prec@5 68.750 (64.409)
Epoch: [14][6950/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.8712 (2.7685)	Prec@1 32.812 (34.070)	Prec@5 58.594 (64.407)
Epoch: [14][6960/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.7293 (2.7685)	Prec@1 31.250 (34.070)	Prec@5 71.875 (64.407)
Epoch: [14][6970/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.7769 (2.7684)	Prec@1 35.156 (34.071)	Prec@5 60.938 (64.408)
Epoch: [14][6980/14090]	Time 0.824 (0.765)	Data 0.001 (0.001)	Loss 2.8382 (2.7685)	Prec@1 30.469 (34.068)	Prec@5 64.062 (64.406)
Epoch: [14][6990/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.8311 (2.7685)	Prec@1 31.250 (34.066)	Prec@5 62.500 (64.405)
Epoch: [14][7000/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.9799 (2.7684)	Prec@1 30.469 (34.070)	Prec@5 60.938 (64.408)
Epoch: [14][7010/14090]	Time 0.767 (0.765)	Data 0.001 (0.001)	Loss 2.7451 (2.7683)	Prec@1 28.906 (34.070)	Prec@5 67.188 (64.412)
Epoch: [14][7020/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.7509 (2.7682)	Prec@1 34.375 (34.071)	Prec@5 66.406 (64.412)
Epoch: [14][7030/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.3530 (2.7682)	Prec@1 40.625 (34.073)	Prec@5 71.875 (64.414)
Epoch: [14][7040/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.8004 (2.7683)	Prec@1 40.625 (34.073)	Prec@5 63.281 (64.411)
Epoch: [14][7050/14090]	Time 0.858 (0.765)	Data 0.001 (0.001)	Loss 2.6651 (2.7683)	Prec@1 35.938 (34.072)	Prec@5 64.844 (64.411)
Epoch: [14][7060/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.7580 (2.7683)	Prec@1 34.375 (34.072)	Prec@5 64.062 (64.408)
Epoch: [14][7070/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.6403 (2.7684)	Prec@1 39.062 (34.071)	Prec@5 65.625 (64.405)
Epoch: [14][7080/14090]	Time 0.721 (0.765)	Data 0.001 (0.001)	Loss 2.6699 (2.7683)	Prec@1 35.938 (34.071)	Prec@5 69.531 (64.407)
Epoch: [14][7090/14090]	Time 0.774 (0.765)	Data 0.001 (0.001)	Loss 2.9157 (2.7683)	Prec@1 35.156 (34.070)	Prec@5 62.500 (64.407)
Epoch: [14][7100/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.8284 (2.7684)	Prec@1 28.125 (34.070)	Prec@5 63.281 (64.406)
Epoch: [14][7110/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.6513 (2.7684)	Prec@1 37.500 (34.071)	Prec@5 67.188 (64.405)
Epoch: [14][7120/14090]	Time 0.861 (0.765)	Data 0.001 (0.001)	Loss 2.7443 (2.7683)	Prec@1 34.375 (34.072)	Prec@5 67.188 (64.408)
Epoch: [14][7130/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.7187 (2.7682)	Prec@1 34.375 (34.073)	Prec@5 69.531 (64.410)
Epoch: [14][7140/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 3.1445 (2.7682)	Prec@1 25.000 (34.075)	Prec@5 54.688 (64.408)
Epoch: [14][7150/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.7446 (2.7683)	Prec@1 30.469 (34.073)	Prec@5 62.500 (64.405)
Epoch: [14][7160/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.4017 (2.7684)	Prec@1 41.406 (34.073)	Prec@5 69.531 (64.407)
Epoch: [14][7170/14090]	Time 0.722 (0.765)	Data 0.001 (0.001)	Loss 2.9154 (2.7683)	Prec@1 33.594 (34.071)	Prec@5 59.375 (64.408)
Epoch: [14][7180/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.7610 (2.7684)	Prec@1 33.594 (34.071)	Prec@5 63.281 (64.408)
Epoch: [14][7190/14090]	Time 0.862 (0.765)	Data 0.001 (0.001)	Loss 2.6648 (2.7684)	Prec@1 38.281 (34.073)	Prec@5 65.625 (64.407)
Epoch: [14][7200/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.7996 (2.7684)	Prec@1 35.938 (34.075)	Prec@5 61.719 (64.407)
Epoch: [14][7210/14090]	Time 0.771 (0.765)	Data 0.001 (0.001)	Loss 2.7851 (2.7684)	Prec@1 37.500 (34.077)	Prec@5 63.281 (64.409)
Epoch: [14][7220/14090]	Time 0.766 (0.765)	Data 0.001 (0.001)	Loss 2.5399 (2.7684)	Prec@1 36.719 (34.078)	Prec@5 72.656 (64.411)
Epoch: [14][7230/14090]	Time 0.777 (0.765)	Data 0.001 (0.001)	Loss 2.7227 (2.7683)	Prec@1 35.938 (34.080)	Prec@5 69.531 (64.415)
Epoch: [14][7240/14090]	Time 0.774 (0.765)	Data 0.001 (0.001)	Loss 2.6009 (2.7682)	Prec@1 32.031 (34.079)	Prec@5 70.312 (64.415)
Epoch: [14][7250/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.5075 (2.7682)	Prec@1 39.062 (34.079)	Prec@5 70.312 (64.414)
Epoch: [14][7260/14090]	Time 0.831 (0.765)	Data 0.001 (0.001)	Loss 2.7875 (2.7681)	Prec@1 37.500 (34.079)	Prec@5 63.281 (64.414)
Epoch: [14][7270/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.5530 (2.7681)	Prec@1 35.156 (34.080)	Prec@5 74.219 (64.417)
Epoch: [14][7280/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.8345 (2.7681)	Prec@1 30.469 (34.078)	Prec@5 64.844 (64.417)
Epoch: [14][7290/14090]	Time 0.751 (0.765)	Data 0.002 (0.001)	Loss 2.6495 (2.7680)	Prec@1 31.250 (34.077)	Prec@5 63.281 (64.416)
Epoch: [14][7300/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.6080 (2.7680)	Prec@1 35.938 (34.077)	Prec@5 71.094 (64.415)
Epoch: [14][7310/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.8728 (2.7681)	Prec@1 37.500 (34.075)	Prec@5 58.594 (64.415)
Epoch: [14][7320/14090]	Time 0.771 (0.765)	Data 0.001 (0.001)	Loss 2.8692 (2.7682)	Prec@1 32.031 (34.072)	Prec@5 66.406 (64.414)
Epoch: [14][7330/14090]	Time 0.836 (0.765)	Data 0.001 (0.001)	Loss 2.7682 (2.7680)	Prec@1 35.938 (34.075)	Prec@5 62.500 (64.418)
Epoch: [14][7340/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 3.1643 (2.7681)	Prec@1 31.250 (34.075)	Prec@5 60.156 (64.416)
Epoch: [14][7350/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.9054 (2.7681)	Prec@1 32.031 (34.078)	Prec@5 62.500 (64.418)
Epoch: [14][7360/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.4919 (2.7681)	Prec@1 35.156 (34.079)	Prec@5 69.531 (64.418)
Epoch: [14][7370/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.5533 (2.7680)	Prec@1 36.719 (34.081)	Prec@5 71.094 (64.421)
Epoch: [14][7380/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.7975 (2.7681)	Prec@1 35.938 (34.083)	Prec@5 64.062 (64.422)
Epoch: [14][7390/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.8586 (2.7680)	Prec@1 30.469 (34.084)	Prec@5 62.500 (64.423)
Epoch: [14][7400/14090]	Time 0.869 (0.765)	Data 0.001 (0.001)	Loss 2.3278 (2.7680)	Prec@1 41.406 (34.085)	Prec@5 71.875 (64.424)
Epoch: [14][7410/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.7250 (2.7680)	Prec@1 30.469 (34.084)	Prec@5 67.188 (64.423)
Epoch: [14][7420/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.6722 (2.7680)	Prec@1 35.938 (34.082)	Prec@5 73.438 (64.423)
Epoch: [14][7430/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.9699 (2.7680)	Prec@1 26.562 (34.082)	Prec@5 63.281 (64.424)
Epoch: [14][7440/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.8913 (2.7681)	Prec@1 28.906 (34.082)	Prec@5 63.281 (64.423)
Epoch: [14][7450/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.8516 (2.7682)	Prec@1 32.031 (34.081)	Prec@5 64.062 (64.421)
Epoch: [14][7460/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.7347 (2.7681)	Prec@1 34.375 (34.080)	Prec@5 62.500 (64.420)
Epoch: [14][7470/14090]	Time 0.851 (0.765)	Data 0.001 (0.001)	Loss 2.7201 (2.7681)	Prec@1 35.156 (34.077)	Prec@5 64.844 (64.421)
Epoch: [14][7480/14090]	Time 0.770 (0.765)	Data 0.001 (0.001)	Loss 2.7868 (2.7683)	Prec@1 32.812 (34.077)	Prec@5 65.625 (64.420)
Epoch: [14][7490/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.5271 (2.7682)	Prec@1 41.406 (34.080)	Prec@5 71.875 (64.422)
Epoch: [14][7500/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.8184 (2.7683)	Prec@1 33.594 (34.079)	Prec@5 62.500 (64.421)
Epoch: [14][7510/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.9016 (2.7684)	Prec@1 27.344 (34.077)	Prec@5 61.719 (64.419)
Epoch: [14][7520/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.9707 (2.7684)	Prec@1 28.906 (34.078)	Prec@5 55.469 (64.417)
Epoch: [14][7530/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.6994 (2.7682)	Prec@1 39.844 (34.083)	Prec@5 60.938 (64.420)
Epoch: [14][7540/14090]	Time 0.841 (0.765)	Data 0.001 (0.001)	Loss 2.5704 (2.7682)	Prec@1 36.719 (34.084)	Prec@5 69.531 (64.419)
Epoch: [14][7550/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.8287 (2.7681)	Prec@1 32.812 (34.087)	Prec@5 60.938 (64.419)
Epoch: [14][7560/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.8270 (2.7682)	Prec@1 33.594 (34.085)	Prec@5 65.625 (64.419)
Epoch: [14][7570/14090]	Time 0.772 (0.765)	Data 0.001 (0.001)	Loss 2.8941 (2.7683)	Prec@1 35.156 (34.084)	Prec@5 64.062 (64.418)
Epoch: [14][7580/14090]	Time 0.773 (0.765)	Data 0.001 (0.001)	Loss 2.6192 (2.7683)	Prec@1 35.156 (34.083)	Prec@5 66.406 (64.418)
Epoch: [14][7590/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.5790 (2.7683)	Prec@1 35.938 (34.085)	Prec@5 69.531 (64.417)
Epoch: [14][7600/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 3.0018 (2.7683)	Prec@1 29.688 (34.084)	Prec@5 56.250 (64.416)
Epoch: [14][7610/14090]	Time 0.872 (0.765)	Data 0.001 (0.001)	Loss 2.6994 (2.7682)	Prec@1 33.594 (34.082)	Prec@5 65.625 (64.418)
Epoch: [14][7620/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 3.0487 (2.7682)	Prec@1 29.688 (34.082)	Prec@5 59.375 (64.417)
Epoch: [14][7630/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.8477 (2.7682)	Prec@1 31.250 (34.082)	Prec@5 61.719 (64.417)
Epoch: [14][7640/14090]	Time 0.771 (0.765)	Data 0.001 (0.001)	Loss 2.7344 (2.7682)	Prec@1 32.031 (34.083)	Prec@5 63.281 (64.417)
Epoch: [14][7650/14090]	Time 0.784 (0.765)	Data 0.001 (0.001)	Loss 2.6559 (2.7683)	Prec@1 35.156 (34.081)	Prec@5 70.312 (64.415)
Epoch: [14][7660/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.6216 (2.7682)	Prec@1 35.156 (34.082)	Prec@5 67.969 (64.416)
Epoch: [14][7670/14090]	Time 0.777 (0.765)	Data 0.001 (0.001)	Loss 2.8093 (2.7683)	Prec@1 34.375 (34.081)	Prec@5 60.156 (64.413)
Epoch: [14][7680/14090]	Time 0.845 (0.765)	Data 0.001 (0.001)	Loss 2.8623 (2.7683)	Prec@1 34.375 (34.082)	Prec@5 61.719 (64.414)
Epoch: [14][7690/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.5883 (2.7683)	Prec@1 35.938 (34.083)	Prec@5 70.312 (64.410)
Epoch: [14][7700/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.4437 (2.7684)	Prec@1 40.625 (34.081)	Prec@5 68.750 (64.407)
Epoch: [14][7710/14090]	Time 0.770 (0.765)	Data 0.001 (0.001)	Loss 2.7734 (2.7684)	Prec@1 32.031 (34.080)	Prec@5 61.719 (64.405)
Epoch: [14][7720/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.7851 (2.7683)	Prec@1 34.375 (34.082)	Prec@5 67.188 (64.408)
Epoch: [14][7730/14090]	Time 0.722 (0.765)	Data 0.001 (0.001)	Loss 2.9748 (2.7683)	Prec@1 28.906 (34.082)	Prec@5 53.125 (64.410)
Epoch: [14][7740/14090]	Time 0.771 (0.765)	Data 0.001 (0.001)	Loss 2.8053 (2.7682)	Prec@1 30.469 (34.084)	Prec@5 61.719 (64.411)
Epoch: [14][7750/14090]	Time 0.865 (0.765)	Data 0.001 (0.001)	Loss 2.5229 (2.7682)	Prec@1 39.844 (34.083)	Prec@5 66.406 (64.409)
Epoch: [14][7760/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.6211 (2.7682)	Prec@1 38.281 (34.083)	Prec@5 67.969 (64.409)
Epoch: [14][7770/14090]	Time 0.770 (0.765)	Data 0.001 (0.001)	Loss 2.8275 (2.7683)	Prec@1 39.844 (34.083)	Prec@5 67.188 (64.409)
Epoch: [14][7780/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 2.3810 (2.7682)	Prec@1 42.969 (34.083)	Prec@5 71.094 (64.408)
Epoch: [14][7790/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.5513 (2.7683)	Prec@1 33.594 (34.079)	Prec@5 68.750 (64.406)
Epoch: [14][7800/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.7898 (2.7684)	Prec@1 31.250 (34.079)	Prec@5 70.312 (64.406)
Epoch: [14][7810/14090]	Time 0.769 (0.765)	Data 0.001 (0.001)	Loss 2.9250 (2.7684)	Prec@1 32.031 (34.080)	Prec@5 61.719 (64.405)
Epoch: [14][7820/14090]	Time 0.860 (0.765)	Data 0.001 (0.001)	Loss 2.8507 (2.7684)	Prec@1 29.688 (34.076)	Prec@5 63.281 (64.402)
Epoch: [14][7830/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.5923 (2.7684)	Prec@1 38.281 (34.077)	Prec@5 69.531 (64.404)
Epoch: [14][7840/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.9164 (2.7684)	Prec@1 39.844 (34.073)	Prec@5 64.844 (64.402)
Epoch: [14][7850/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.7349 (2.7684)	Prec@1 32.812 (34.075)	Prec@5 63.281 (64.401)
Epoch: [14][7860/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.5625 (2.7684)	Prec@1 39.062 (34.074)	Prec@5 64.844 (64.401)
Epoch: [14][7870/14090]	Time 0.765 (0.765)	Data 0.000 (0.001)	Loss 2.5731 (2.7685)	Prec@1 35.938 (34.070)	Prec@5 70.312 (64.399)
Epoch: [14][7880/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.6664 (2.7684)	Prec@1 37.500 (34.071)	Prec@5 61.719 (64.401)
Epoch: [14][7890/14090]	Time 0.821 (0.765)	Data 0.001 (0.001)	Loss 2.5582 (2.7683)	Prec@1 39.844 (34.073)	Prec@5 71.094 (64.402)
Epoch: [14][7900/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.7244 (2.7682)	Prec@1 27.344 (34.072)	Prec@5 61.719 (64.404)
Epoch: [14][7910/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.6551 (2.7681)	Prec@1 39.062 (34.074)	Prec@5 64.844 (64.404)
Epoch: [14][7920/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 3.0881 (2.7682)	Prec@1 33.594 (34.075)	Prec@5 58.594 (64.402)
Epoch: [14][7930/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.9997 (2.7682)	Prec@1 29.688 (34.072)	Prec@5 57.812 (64.401)
Epoch: [14][7940/14090]	Time 0.770 (0.765)	Data 0.001 (0.001)	Loss 2.8437 (2.7684)	Prec@1 39.062 (34.071)	Prec@5 67.969 (64.401)
Epoch: [14][7950/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.6177 (2.7683)	Prec@1 35.938 (34.071)	Prec@5 64.062 (64.401)
Epoch: [14][7960/14090]	Time 0.868 (0.765)	Data 0.001 (0.001)	Loss 2.7276 (2.7683)	Prec@1 35.156 (34.071)	Prec@5 62.500 (64.401)
Epoch: [14][7970/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.8721 (2.7684)	Prec@1 33.594 (34.070)	Prec@5 62.500 (64.398)
Epoch: [14][7980/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.6549 (2.7684)	Prec@1 31.250 (34.069)	Prec@5 64.062 (64.399)
Epoch: [14][7990/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.5466 (2.7685)	Prec@1 37.500 (34.070)	Prec@5 71.875 (64.397)
Epoch: [14][8000/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.5429 (2.7686)	Prec@1 32.031 (34.066)	Prec@5 69.531 (64.397)
Epoch: [14][8010/14090]	Time 0.758 (0.765)	Data 0.002 (0.001)	Loss 2.8373 (2.7685)	Prec@1 38.281 (34.070)	Prec@5 56.250 (64.397)
Epoch: [14][8020/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.5753 (2.7684)	Prec@1 39.062 (34.071)	Prec@5 71.094 (64.400)
Epoch: [14][8030/14090]	Time 0.829 (0.765)	Data 0.001 (0.001)	Loss 2.6936 (2.7683)	Prec@1 32.812 (34.071)	Prec@5 62.500 (64.404)
Epoch: [14][8040/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.6158 (2.7682)	Prec@1 39.062 (34.072)	Prec@5 69.531 (64.405)
Epoch: [14][8050/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.7783 (2.7681)	Prec@1 37.500 (34.075)	Prec@5 62.500 (64.408)
Epoch: [14][8060/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 3.1854 (2.7682)	Prec@1 25.781 (34.073)	Prec@5 53.906 (64.405)
Epoch: [14][8070/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.5226 (2.7681)	Prec@1 33.594 (34.075)	Prec@5 66.406 (64.407)
Epoch: [14][8080/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.9404 (2.7682)	Prec@1 28.125 (34.074)	Prec@5 58.594 (64.405)
Epoch: [14][8090/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.5762 (2.7682)	Prec@1 36.719 (34.076)	Prec@5 64.844 (64.405)
Epoch: [14][8100/14090]	Time 0.842 (0.765)	Data 0.001 (0.001)	Loss 2.7166 (2.7681)	Prec@1 32.031 (34.077)	Prec@5 60.938 (64.405)
Epoch: [14][8110/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 3.0486 (2.7681)	Prec@1 30.469 (34.075)	Prec@5 55.469 (64.404)
Epoch: [14][8120/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.8582 (2.7683)	Prec@1 32.031 (34.074)	Prec@5 61.719 (64.399)
Epoch: [14][8130/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 3.0488 (2.7684)	Prec@1 26.562 (34.074)	Prec@5 62.500 (64.397)
Epoch: [14][8140/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.5361 (2.7684)	Prec@1 32.812 (34.073)	Prec@5 72.656 (64.400)
Epoch: [14][8150/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.9222 (2.7684)	Prec@1 34.375 (34.072)	Prec@5 61.719 (64.401)
Epoch: [14][8160/14090]	Time 0.783 (0.765)	Data 0.001 (0.001)	Loss 2.6949 (2.7685)	Prec@1 33.594 (34.071)	Prec@5 64.844 (64.399)
Epoch: [14][8170/14090]	Time 0.876 (0.765)	Data 0.001 (0.001)	Loss 2.7668 (2.7684)	Prec@1 34.375 (34.072)	Prec@5 64.844 (64.401)
Epoch: [14][8180/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.5241 (2.7683)	Prec@1 40.625 (34.074)	Prec@5 66.406 (64.403)
Epoch: [14][8190/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.6871 (2.7683)	Prec@1 39.844 (34.074)	Prec@5 61.719 (64.401)
Epoch: [14][8200/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.7145 (2.7684)	Prec@1 35.156 (34.075)	Prec@5 64.062 (64.400)
Epoch: [14][8210/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.7973 (2.7685)	Prec@1 35.938 (34.075)	Prec@5 64.062 (64.399)
Epoch: [14][8220/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.5596 (2.7686)	Prec@1 35.156 (34.074)	Prec@5 68.750 (64.397)
Epoch: [14][8230/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.9316 (2.7685)	Prec@1 32.812 (34.074)	Prec@5 62.500 (64.398)
Epoch: [14][8240/14090]	Time 0.904 (0.765)	Data 0.001 (0.001)	Loss 2.8679 (2.7685)	Prec@1 27.344 (34.073)	Prec@5 63.281 (64.400)
Epoch: [14][8250/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.7354 (2.7685)	Prec@1 38.281 (34.074)	Prec@5 64.062 (64.400)
Epoch: [14][8260/14090]	Time 0.778 (0.765)	Data 0.001 (0.001)	Loss 2.4102 (2.7683)	Prec@1 39.062 (34.076)	Prec@5 68.750 (64.402)
Epoch: [14][8270/14090]	Time 0.738 (0.765)	Data 0.002 (0.001)	Loss 2.6050 (2.7683)	Prec@1 38.281 (34.078)	Prec@5 67.188 (64.401)
Epoch: [14][8280/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.5804 (2.7683)	Prec@1 34.375 (34.075)	Prec@5 64.844 (64.400)
Epoch: [14][8290/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.8446 (2.7683)	Prec@1 34.375 (34.080)	Prec@5 62.500 (64.402)
Epoch: [14][8300/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.6960 (2.7683)	Prec@1 34.375 (34.079)	Prec@5 68.750 (64.401)
Epoch: [14][8310/14090]	Time 0.841 (0.765)	Data 0.001 (0.001)	Loss 2.7388 (2.7683)	Prec@1 33.594 (34.082)	Prec@5 63.281 (64.401)
Epoch: [14][8320/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 3.2438 (2.7683)	Prec@1 28.906 (34.082)	Prec@5 57.812 (64.401)
Epoch: [14][8330/14090]	Time 0.720 (0.765)	Data 0.001 (0.001)	Loss 2.9303 (2.7684)	Prec@1 28.125 (34.078)	Prec@5 57.031 (64.400)
Epoch: [14][8340/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.9426 (2.7684)	Prec@1 31.250 (34.078)	Prec@5 64.062 (64.401)
Epoch: [14][8350/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.8169 (2.7684)	Prec@1 33.594 (34.080)	Prec@5 65.625 (64.403)
Epoch: [14][8360/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.8533 (2.7684)	Prec@1 29.688 (34.079)	Prec@5 64.062 (64.403)
Epoch: [14][8370/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.9467 (2.7685)	Prec@1 30.469 (34.077)	Prec@5 62.500 (64.401)
Epoch: [14][8380/14090]	Time 0.849 (0.765)	Data 0.001 (0.001)	Loss 2.8217 (2.7685)	Prec@1 25.781 (34.075)	Prec@5 62.500 (64.401)
Epoch: [14][8390/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.9270 (2.7685)	Prec@1 31.250 (34.074)	Prec@5 59.375 (64.401)
Epoch: [14][8400/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.8625 (2.7686)	Prec@1 34.375 (34.073)	Prec@5 62.500 (64.400)
Epoch: [14][8410/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.9790 (2.7686)	Prec@1 28.906 (34.073)	Prec@5 58.594 (64.399)
Epoch: [14][8420/14090]	Time 0.779 (0.765)	Data 0.001 (0.001)	Loss 2.5917 (2.7685)	Prec@1 39.062 (34.074)	Prec@5 67.969 (64.401)
Epoch: [14][8430/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.4451 (2.7684)	Prec@1 39.062 (34.076)	Prec@5 68.750 (64.403)
Epoch: [14][8440/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 3.0233 (2.7685)	Prec@1 29.688 (34.075)	Prec@5 59.375 (64.400)
Epoch: [14][8450/14090]	Time 0.865 (0.765)	Data 0.002 (0.001)	Loss 3.0250 (2.7685)	Prec@1 28.906 (34.074)	Prec@5 58.594 (64.400)
Epoch: [14][8460/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.9410 (2.7685)	Prec@1 30.469 (34.075)	Prec@5 65.625 (64.402)
Epoch: [14][8470/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.9453 (2.7684)	Prec@1 34.375 (34.079)	Prec@5 65.625 (64.405)
Epoch: [14][8480/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.8241 (2.7684)	Prec@1 34.375 (34.077)	Prec@5 58.594 (64.404)
Epoch: [14][8490/14090]	Time 0.777 (0.765)	Data 0.001 (0.001)	Loss 2.8068 (2.7685)	Prec@1 35.938 (34.077)	Prec@5 67.969 (64.402)
Epoch: [14][8500/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 2.5021 (2.7685)	Prec@1 34.375 (34.077)	Prec@5 72.656 (64.404)
Epoch: [14][8510/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.7272 (2.7685)	Prec@1 39.062 (34.079)	Prec@5 62.500 (64.404)
Epoch: [14][8520/14090]	Time 0.838 (0.765)	Data 0.001 (0.001)	Loss 2.8582 (2.7686)	Prec@1 31.250 (34.078)	Prec@5 62.500 (64.402)
Epoch: [14][8530/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.6721 (2.7685)	Prec@1 36.719 (34.079)	Prec@5 66.406 (64.404)
Epoch: [14][8540/14090]	Time 0.789 (0.765)	Data 0.001 (0.001)	Loss 2.9518 (2.7685)	Prec@1 30.469 (34.080)	Prec@5 57.031 (64.403)
Epoch: [14][8550/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.6252 (2.7685)	Prec@1 32.812 (34.077)	Prec@5 71.094 (64.405)
Epoch: [14][8560/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.7595 (2.7685)	Prec@1 33.594 (34.076)	Prec@5 64.844 (64.403)
Epoch: [14][8570/14090]	Time 0.745 (0.765)	Data 0.002 (0.001)	Loss 3.0705 (2.7685)	Prec@1 21.875 (34.073)	Prec@5 60.938 (64.403)
Epoch: [14][8580/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.8457 (2.7686)	Prec@1 35.938 (34.071)	Prec@5 65.625 (64.402)
Epoch: [14][8590/14090]	Time 0.835 (0.765)	Data 0.001 (0.001)	Loss 2.8259 (2.7686)	Prec@1 33.594 (34.071)	Prec@5 63.281 (64.403)
Epoch: [14][8600/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.8279 (2.7686)	Prec@1 35.938 (34.072)	Prec@5 61.719 (64.405)
Epoch: [14][8610/14090]	Time 0.787 (0.765)	Data 0.001 (0.001)	Loss 2.8041 (2.7686)	Prec@1 32.031 (34.070)	Prec@5 59.375 (64.402)
Epoch: [14][8620/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 3.0968 (2.7686)	Prec@1 32.031 (34.071)	Prec@5 58.594 (64.404)
Epoch: [14][8630/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.8861 (2.7686)	Prec@1 32.031 (34.071)	Prec@5 59.375 (64.402)
Epoch: [14][8640/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.8000 (2.7687)	Prec@1 37.500 (34.071)	Prec@5 60.938 (64.401)
Epoch: [14][8650/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.9532 (2.7687)	Prec@1 28.906 (34.070)	Prec@5 60.938 (64.400)
Epoch: [14][8660/14090]	Time 0.887 (0.765)	Data 0.001 (0.001)	Loss 2.7139 (2.7686)	Prec@1 35.156 (34.072)	Prec@5 63.281 (64.403)
Epoch: [14][8670/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.6286 (2.7685)	Prec@1 37.500 (34.075)	Prec@5 64.062 (64.405)
Epoch: [14][8680/14090]	Time 0.788 (0.765)	Data 0.001 (0.001)	Loss 2.6651 (2.7686)	Prec@1 34.375 (34.075)	Prec@5 67.969 (64.405)
Epoch: [14][8690/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.6924 (2.7686)	Prec@1 34.375 (34.075)	Prec@5 68.750 (64.407)
Epoch: [14][8700/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.7513 (2.7684)	Prec@1 35.156 (34.076)	Prec@5 63.281 (64.409)
Epoch: [14][8710/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.8911 (2.7684)	Prec@1 32.812 (34.076)	Prec@5 64.062 (64.411)
Epoch: [14][8720/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.8171 (2.7685)	Prec@1 36.719 (34.075)	Prec@5 64.062 (64.409)
Epoch: [14][8730/14090]	Time 0.884 (0.765)	Data 0.001 (0.001)	Loss 3.0851 (2.7685)	Prec@1 28.906 (34.077)	Prec@5 52.344 (64.409)
Epoch: [14][8740/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.9210 (2.7685)	Prec@1 33.594 (34.074)	Prec@5 60.938 (64.405)
Epoch: [14][8750/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.1977 (2.7685)	Prec@1 46.094 (34.076)	Prec@5 78.906 (64.408)
Epoch: [14][8760/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.7888 (2.7685)	Prec@1 34.375 (34.077)	Prec@5 64.062 (64.409)
Epoch: [14][8770/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.7503 (2.7685)	Prec@1 31.250 (34.075)	Prec@5 63.281 (64.409)
Epoch: [14][8780/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.7123 (2.7687)	Prec@1 33.594 (34.069)	Prec@5 64.062 (64.405)
Epoch: [14][8790/14090]	Time 0.722 (0.765)	Data 0.001 (0.001)	Loss 2.9285 (2.7688)	Prec@1 26.562 (34.067)	Prec@5 59.375 (64.405)
Epoch: [14][8800/14090]	Time 0.892 (0.765)	Data 0.001 (0.001)	Loss 2.8399 (2.7688)	Prec@1 29.688 (34.066)	Prec@5 64.844 (64.405)
Epoch: [14][8810/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.6719 (2.7689)	Prec@1 34.375 (34.065)	Prec@5 64.844 (64.403)
Epoch: [14][8820/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 3.0603 (2.7688)	Prec@1 29.688 (34.064)	Prec@5 59.375 (64.403)
Epoch: [14][8830/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.6810 (2.7688)	Prec@1 35.938 (34.062)	Prec@5 63.281 (64.402)
Epoch: [14][8840/14090]	Time 0.771 (0.765)	Data 0.001 (0.001)	Loss 2.7156 (2.7688)	Prec@1 35.938 (34.062)	Prec@5 67.969 (64.403)
Epoch: [14][8850/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 3.2335 (2.7688)	Prec@1 28.125 (34.063)	Prec@5 53.906 (64.402)
Epoch: [14][8860/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.6145 (2.7689)	Prec@1 39.844 (34.062)	Prec@5 67.188 (64.402)
Epoch: [14][8870/14090]	Time 0.829 (0.765)	Data 0.001 (0.001)	Loss 2.6937 (2.7688)	Prec@1 35.938 (34.063)	Prec@5 64.062 (64.403)
Epoch: [14][8880/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.8881 (2.7688)	Prec@1 32.812 (34.063)	Prec@5 58.594 (64.404)
Epoch: [14][8890/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.5844 (2.7688)	Prec@1 39.062 (34.064)	Prec@5 71.875 (64.406)
Epoch: [14][8900/14090]	Time 0.718 (0.765)	Data 0.001 (0.001)	Loss 2.8293 (2.7686)	Prec@1 37.500 (34.066)	Prec@5 62.500 (64.409)
Epoch: [14][8910/14090]	Time 0.790 (0.765)	Data 0.001 (0.001)	Loss 2.5877 (2.7686)	Prec@1 35.156 (34.067)	Prec@5 67.969 (64.410)
Epoch: [14][8920/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.7254 (2.7687)	Prec@1 35.938 (34.065)	Prec@5 64.062 (64.409)
Epoch: [14][8930/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 3.0272 (2.7686)	Prec@1 28.125 (34.065)	Prec@5 57.812 (64.410)
Epoch: [14][8940/14090]	Time 0.874 (0.765)	Data 0.003 (0.001)	Loss 2.9260 (2.7686)	Prec@1 28.906 (34.063)	Prec@5 60.156 (64.411)
Epoch: [14][8950/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.9214 (2.7686)	Prec@1 32.812 (34.062)	Prec@5 64.062 (64.409)
Epoch: [14][8960/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.8125 (2.7687)	Prec@1 32.031 (34.062)	Prec@5 62.500 (64.409)
Epoch: [14][8970/14090]	Time 0.782 (0.765)	Data 0.001 (0.001)	Loss 2.8628 (2.7686)	Prec@1 35.156 (34.063)	Prec@5 60.156 (64.410)
Epoch: [14][8980/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.8570 (2.7687)	Prec@1 33.594 (34.063)	Prec@5 64.062 (64.407)
Epoch: [14][8990/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.9659 (2.7689)	Prec@1 29.688 (34.059)	Prec@5 56.250 (64.404)
Epoch: [14][9000/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.7903 (2.7689)	Prec@1 32.812 (34.059)	Prec@5 61.719 (64.403)
Epoch: [14][9010/14090]	Time 0.840 (0.765)	Data 0.001 (0.001)	Loss 2.7626 (2.7690)	Prec@1 29.688 (34.056)	Prec@5 62.500 (64.401)
Epoch: [14][9020/14090]	Time 0.722 (0.765)	Data 0.001 (0.001)	Loss 2.8830 (2.7691)	Prec@1 30.469 (34.053)	Prec@5 64.062 (64.402)
Epoch: [14][9030/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.8363 (2.7690)	Prec@1 38.281 (34.053)	Prec@5 63.281 (64.402)
Epoch: [14][9040/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.4510 (2.7690)	Prec@1 36.719 (34.053)	Prec@5 73.438 (64.403)
Epoch: [14][9050/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 3.1446 (2.7690)	Prec@1 29.688 (34.053)	Prec@5 58.594 (64.402)
Epoch: [14][9060/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.7874 (2.7690)	Prec@1 32.812 (34.053)	Prec@5 60.938 (64.402)
Epoch: [14][9070/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.6332 (2.7691)	Prec@1 36.719 (34.054)	Prec@5 67.969 (64.403)
Epoch: [14][9080/14090]	Time 0.874 (0.765)	Data 0.001 (0.001)	Loss 2.7330 (2.7690)	Prec@1 39.062 (34.055)	Prec@5 66.406 (64.402)
Epoch: [14][9090/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.8857 (2.7690)	Prec@1 32.812 (34.056)	Prec@5 60.938 (64.403)
Epoch: [14][9100/14090]	Time 0.778 (0.765)	Data 0.001 (0.001)	Loss 2.9578 (2.7690)	Prec@1 29.688 (34.057)	Prec@5 60.156 (64.402)
Epoch: [14][9110/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 2.8042 (2.7691)	Prec@1 35.156 (34.056)	Prec@5 60.938 (64.402)
Epoch: [14][9120/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 3.1340 (2.7691)	Prec@1 25.781 (34.054)	Prec@5 57.031 (64.402)
Epoch: [14][9130/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 3.1176 (2.7692)	Prec@1 29.688 (34.055)	Prec@5 57.812 (64.399)
Epoch: [14][9140/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.9329 (2.7691)	Prec@1 35.156 (34.057)	Prec@5 60.938 (64.400)
Epoch: [14][9150/14090]	Time 0.874 (0.765)	Data 0.001 (0.001)	Loss 2.8469 (2.7691)	Prec@1 31.250 (34.057)	Prec@5 62.500 (64.402)
Epoch: [14][9160/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.9989 (2.7691)	Prec@1 26.562 (34.059)	Prec@5 57.812 (64.401)
Epoch: [14][9170/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.8544 (2.7692)	Prec@1 37.500 (34.058)	Prec@5 65.625 (64.398)
Epoch: [14][9180/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.9005 (2.7692)	Prec@1 35.938 (34.057)	Prec@5 64.062 (64.399)
Epoch: [14][9190/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.7296 (2.7691)	Prec@1 29.688 (34.059)	Prec@5 65.625 (64.400)
Epoch: [14][9200/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.5617 (2.7691)	Prec@1 35.156 (34.059)	Prec@5 67.188 (64.401)
Epoch: [14][9210/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.6964 (2.7691)	Prec@1 33.594 (34.060)	Prec@5 64.062 (64.401)
Epoch: [14][9220/14090]	Time 0.866 (0.765)	Data 0.001 (0.001)	Loss 2.6708 (2.7691)	Prec@1 37.500 (34.061)	Prec@5 62.500 (64.400)
Epoch: [14][9230/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.8137 (2.7691)	Prec@1 32.812 (34.062)	Prec@5 67.188 (64.400)
Epoch: [14][9240/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.7297 (2.7692)	Prec@1 35.938 (34.061)	Prec@5 64.844 (64.399)
Epoch: [14][9250/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.9290 (2.7692)	Prec@1 31.250 (34.062)	Prec@5 62.500 (64.399)
Epoch: [14][9260/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.7825 (2.7692)	Prec@1 39.844 (34.061)	Prec@5 61.719 (64.399)
Epoch: [14][9270/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.5779 (2.7691)	Prec@1 39.062 (34.062)	Prec@5 69.531 (64.400)
Epoch: [14][9280/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.7639 (2.7691)	Prec@1 34.375 (34.062)	Prec@5 66.406 (64.400)
Epoch: [14][9290/14090]	Time 0.886 (0.765)	Data 0.001 (0.001)	Loss 2.7982 (2.7691)	Prec@1 33.594 (34.063)	Prec@5 63.281 (64.400)
Epoch: [14][9300/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.7898 (2.7691)	Prec@1 32.031 (34.065)	Prec@5 61.719 (64.400)
Epoch: [14][9310/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.8699 (2.7690)	Prec@1 33.594 (34.065)	Prec@5 58.594 (64.400)
Epoch: [14][9320/14090]	Time 0.800 (0.765)	Data 0.001 (0.001)	Loss 2.7221 (2.7691)	Prec@1 34.375 (34.064)	Prec@5 64.062 (64.400)
Epoch: [14][9330/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.5591 (2.7690)	Prec@1 37.500 (34.067)	Prec@5 67.188 (64.402)
Epoch: [14][9340/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.9287 (2.7689)	Prec@1 33.594 (34.068)	Prec@5 58.594 (64.402)
Epoch: [14][9350/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.7686 (2.7689)	Prec@1 39.844 (34.070)	Prec@5 67.188 (64.401)
Epoch: [14][9360/14090]	Time 0.891 (0.765)	Data 0.001 (0.001)	Loss 2.8282 (2.7690)	Prec@1 33.594 (34.071)	Prec@5 59.375 (64.401)
Epoch: [14][9370/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.6135 (2.7690)	Prec@1 41.406 (34.072)	Prec@5 63.281 (64.401)
Epoch: [14][9380/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.9515 (2.7689)	Prec@1 31.250 (34.071)	Prec@5 60.156 (64.402)
Epoch: [14][9390/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 2.6327 (2.7690)	Prec@1 32.812 (34.071)	Prec@5 69.531 (64.402)
Epoch: [14][9400/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.5320 (2.7689)	Prec@1 43.750 (34.073)	Prec@5 75.000 (64.403)
Epoch: [14][9410/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.7316 (2.7688)	Prec@1 32.031 (34.074)	Prec@5 66.406 (64.404)
Epoch: [14][9420/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.6011 (2.7688)	Prec@1 31.250 (34.074)	Prec@5 62.500 (64.404)
Epoch: [14][9430/14090]	Time 0.865 (0.765)	Data 0.001 (0.001)	Loss 2.6957 (2.7687)	Prec@1 37.500 (34.077)	Prec@5 65.625 (64.405)
Epoch: [14][9440/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.8110 (2.7686)	Prec@1 33.594 (34.078)	Prec@5 62.500 (64.407)
Epoch: [14][9450/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.7012 (2.7686)	Prec@1 33.594 (34.078)	Prec@5 66.406 (64.406)
Epoch: [14][9460/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.8962 (2.7687)	Prec@1 31.250 (34.077)	Prec@5 63.281 (64.404)
Epoch: [14][9470/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.6769 (2.7687)	Prec@1 41.406 (34.075)	Prec@5 67.188 (64.405)
Epoch: [14][9480/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.7619 (2.7687)	Prec@1 35.938 (34.076)	Prec@5 65.625 (64.408)
Epoch: [14][9490/14090]	Time 0.722 (0.765)	Data 0.001 (0.001)	Loss 2.8762 (2.7687)	Prec@1 35.156 (34.077)	Prec@5 62.500 (64.407)
Epoch: [14][9500/14090]	Time 0.892 (0.765)	Data 0.001 (0.001)	Loss 3.0261 (2.7688)	Prec@1 28.906 (34.076)	Prec@5 59.375 (64.406)
Epoch: [14][9510/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.8255 (2.7687)	Prec@1 30.469 (34.077)	Prec@5 64.062 (64.408)
Epoch: [14][9520/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.7799 (2.7687)	Prec@1 33.594 (34.077)	Prec@5 65.625 (64.408)
Epoch: [14][9530/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.5340 (2.7687)	Prec@1 39.062 (34.078)	Prec@5 68.750 (64.409)
Epoch: [14][9540/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.5649 (2.7688)	Prec@1 38.281 (34.078)	Prec@5 67.969 (64.407)
Epoch: [14][9550/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 2.7393 (2.7688)	Prec@1 33.594 (34.077)	Prec@5 67.188 (64.405)
Epoch: [14][9560/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.5325 (2.7687)	Prec@1 36.719 (34.080)	Prec@5 67.969 (64.407)
Epoch: [14][9570/14090]	Time 0.869 (0.765)	Data 0.001 (0.001)	Loss 2.7860 (2.7687)	Prec@1 32.031 (34.080)	Prec@5 64.844 (64.406)
Epoch: [14][9580/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.7183 (2.7688)	Prec@1 40.625 (34.081)	Prec@5 64.062 (64.406)
Epoch: [14][9590/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.7272 (2.7688)	Prec@1 34.375 (34.080)	Prec@5 67.188 (64.405)
Epoch: [14][9600/14090]	Time 0.775 (0.765)	Data 0.001 (0.001)	Loss 2.6960 (2.7688)	Prec@1 37.500 (34.080)	Prec@5 64.062 (64.405)
Epoch: [14][9610/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.7431 (2.7687)	Prec@1 38.281 (34.081)	Prec@5 67.969 (64.404)
Epoch: [14][9620/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.6606 (2.7688)	Prec@1 37.500 (34.080)	Prec@5 65.625 (64.404)
Epoch: [14][9630/14090]	Time 0.772 (0.765)	Data 0.001 (0.001)	Loss 2.8555 (2.7688)	Prec@1 30.469 (34.079)	Prec@5 60.938 (64.404)
Epoch: [14][9640/14090]	Time 0.839 (0.765)	Data 0.001 (0.001)	Loss 2.7630 (2.7688)	Prec@1 35.938 (34.081)	Prec@5 66.406 (64.406)
Epoch: [14][9650/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.5348 (2.7687)	Prec@1 35.156 (34.080)	Prec@5 71.094 (64.407)
Epoch: [14][9660/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.7611 (2.7686)	Prec@1 37.500 (34.081)	Prec@5 59.375 (64.407)
Epoch: [14][9670/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.7268 (2.7687)	Prec@1 36.719 (34.079)	Prec@5 66.406 (64.405)
Epoch: [14][9680/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.9077 (2.7687)	Prec@1 35.156 (34.078)	Prec@5 60.938 (64.405)
Epoch: [14][9690/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.7121 (2.7688)	Prec@1 35.938 (34.077)	Prec@5 63.281 (64.404)
Epoch: [14][9700/14090]	Time 0.777 (0.765)	Data 0.001 (0.001)	Loss 2.9088 (2.7688)	Prec@1 30.469 (34.077)	Prec@5 59.375 (64.402)
Epoch: [14][9710/14090]	Time 0.846 (0.765)	Data 0.001 (0.001)	Loss 2.8169 (2.7688)	Prec@1 36.719 (34.077)	Prec@5 67.188 (64.403)
Epoch: [14][9720/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.7297 (2.7688)	Prec@1 33.594 (34.077)	Prec@5 67.969 (64.403)
Epoch: [14][9730/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.6981 (2.7689)	Prec@1 35.156 (34.077)	Prec@5 62.500 (64.402)
Epoch: [14][9740/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.9043 (2.7689)	Prec@1 30.469 (34.077)	Prec@5 60.156 (64.402)
Epoch: [14][9750/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.5354 (2.7688)	Prec@1 42.188 (34.077)	Prec@5 71.094 (64.404)
Epoch: [14][9760/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.3832 (2.7688)	Prec@1 46.875 (34.078)	Prec@5 75.000 (64.405)
Epoch: [14][9770/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.7313 (2.7688)	Prec@1 35.156 (34.079)	Prec@5 66.406 (64.406)
Epoch: [14][9780/14090]	Time 0.860 (0.765)	Data 0.001 (0.001)	Loss 2.8673 (2.7688)	Prec@1 29.688 (34.079)	Prec@5 60.938 (64.404)
Epoch: [14][9790/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.9011 (2.7689)	Prec@1 33.594 (34.080)	Prec@5 60.156 (64.404)
Epoch: [14][9800/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.7911 (2.7688)	Prec@1 33.594 (34.083)	Prec@5 64.844 (64.407)
Epoch: [14][9810/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 2.6741 (2.7688)	Prec@1 34.375 (34.082)	Prec@5 71.875 (64.409)
Epoch: [14][9820/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.8191 (2.7688)	Prec@1 33.594 (34.083)	Prec@5 64.844 (64.408)
Epoch: [14][9830/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.6023 (2.7688)	Prec@1 39.844 (34.082)	Prec@5 66.406 (64.405)
Epoch: [14][9840/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 3.2152 (2.7689)	Prec@1 22.656 (34.081)	Prec@5 50.000 (64.405)
Epoch: [14][9850/14090]	Time 0.810 (0.765)	Data 0.001 (0.001)	Loss 2.6701 (2.7688)	Prec@1 35.938 (34.083)	Prec@5 66.406 (64.406)
Epoch: [14][9860/14090]	Time 0.776 (0.765)	Data 0.001 (0.001)	Loss 2.8571 (2.7687)	Prec@1 33.594 (34.083)	Prec@5 62.500 (64.408)
Epoch: [14][9870/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.8875 (2.7688)	Prec@1 31.250 (34.082)	Prec@5 61.719 (64.407)
Epoch: [14][9880/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 3.0722 (2.7687)	Prec@1 23.438 (34.082)	Prec@5 57.812 (64.408)
Epoch: [14][9890/14090]	Time 0.772 (0.765)	Data 0.001 (0.001)	Loss 2.5913 (2.7687)	Prec@1 38.281 (34.083)	Prec@5 70.312 (64.410)
Epoch: [14][9900/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.9011 (2.7688)	Prec@1 32.031 (34.083)	Prec@5 59.375 (64.409)
Epoch: [14][9910/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.3793 (2.7687)	Prec@1 35.156 (34.084)	Prec@5 70.312 (64.409)
Epoch: [14][9920/14090]	Time 1.009 (0.765)	Data 0.001 (0.001)	Loss 2.5699 (2.7687)	Prec@1 35.938 (34.084)	Prec@5 67.188 (64.408)
Epoch: [14][9930/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.8806 (2.7687)	Prec@1 31.250 (34.084)	Prec@5 64.062 (64.409)
Epoch: [14][9940/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.4213 (2.7687)	Prec@1 39.844 (34.085)	Prec@5 71.875 (64.409)
Epoch: [14][9950/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.7754 (2.7688)	Prec@1 35.156 (34.083)	Prec@5 64.844 (64.407)
Epoch: [14][9960/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 2.7710 (2.7689)	Prec@1 30.469 (34.082)	Prec@5 59.375 (64.405)
Epoch: [14][9970/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.4898 (2.7689)	Prec@1 35.156 (34.081)	Prec@5 67.969 (64.405)
Epoch: [14][9980/14090]	Time 0.772 (0.765)	Data 0.001 (0.001)	Loss 2.6866 (2.7689)	Prec@1 35.156 (34.078)	Prec@5 67.969 (64.403)
Epoch: [14][9990/14090]	Time 0.825 (0.765)	Data 0.001 (0.001)	Loss 2.9172 (2.7689)	Prec@1 32.031 (34.080)	Prec@5 60.938 (64.404)
Epoch: [14][10000/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.5535 (2.7690)	Prec@1 39.844 (34.080)	Prec@5 67.969 (64.401)
Epoch: [14][10010/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.7631 (2.7689)	Prec@1 33.594 (34.080)	Prec@5 62.500 (64.401)
Epoch: [14][10020/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.8217 (2.7689)	Prec@1 31.250 (34.080)	Prec@5 65.625 (64.402)
Epoch: [14][10030/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.7039 (2.7688)	Prec@1 29.688 (34.082)	Prec@5 67.188 (64.404)
Epoch: [14][10040/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.5727 (2.7688)	Prec@1 39.844 (34.082)	Prec@5 67.188 (64.404)
Epoch: [14][10050/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.4378 (2.7688)	Prec@1 31.250 (34.080)	Prec@5 72.656 (64.405)
Epoch: [14][10060/14090]	Time 0.861 (0.765)	Data 0.001 (0.001)	Loss 2.7784 (2.7687)	Prec@1 33.594 (34.082)	Prec@5 58.594 (64.405)
Epoch: [14][10070/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.6443 (2.7686)	Prec@1 34.375 (34.084)	Prec@5 62.500 (64.408)
Epoch: [14][10080/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.8086 (2.7685)	Prec@1 29.688 (34.084)	Prec@5 61.719 (64.409)
Epoch: [14][10090/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.6971 (2.7685)	Prec@1 39.062 (34.084)	Prec@5 67.969 (64.410)
Epoch: [14][10100/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.8977 (2.7685)	Prec@1 32.812 (34.084)	Prec@5 61.719 (64.409)
Epoch: [14][10110/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.9974 (2.7685)	Prec@1 30.469 (34.083)	Prec@5 62.500 (64.410)
Epoch: [14][10120/14090]	Time 0.776 (0.765)	Data 0.001 (0.001)	Loss 2.8101 (2.7685)	Prec@1 33.594 (34.082)	Prec@5 62.500 (64.408)
Epoch: [14][10130/14090]	Time 0.831 (0.765)	Data 0.001 (0.001)	Loss 2.4844 (2.7685)	Prec@1 35.156 (34.083)	Prec@5 70.312 (64.409)
Epoch: [14][10140/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.9838 (2.7686)	Prec@1 29.688 (34.080)	Prec@5 61.719 (64.408)
Epoch: [14][10150/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.6144 (2.7686)	Prec@1 35.156 (34.080)	Prec@5 68.750 (64.407)
Epoch: [14][10160/14090]	Time 0.781 (0.765)	Data 0.001 (0.001)	Loss 3.1169 (2.7687)	Prec@1 23.438 (34.078)	Prec@5 59.375 (64.405)
Epoch: [14][10170/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.9714 (2.7687)	Prec@1 28.125 (34.076)	Prec@5 57.812 (64.405)
Epoch: [14][10180/14090]	Time 0.768 (0.765)	Data 0.001 (0.001)	Loss 2.7742 (2.7687)	Prec@1 27.344 (34.076)	Prec@5 59.375 (64.405)
Epoch: [14][10190/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.7292 (2.7686)	Prec@1 36.719 (34.077)	Prec@5 65.625 (64.406)
Epoch: [14][10200/14090]	Time 0.872 (0.765)	Data 0.001 (0.001)	Loss 2.8702 (2.7686)	Prec@1 34.375 (34.079)	Prec@5 62.500 (64.407)
Epoch: [14][10210/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.7594 (2.7687)	Prec@1 36.719 (34.077)	Prec@5 66.406 (64.405)
Epoch: [14][10220/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.6953 (2.7687)	Prec@1 39.062 (34.077)	Prec@5 66.406 (64.403)
Epoch: [14][10230/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.9688 (2.7688)	Prec@1 33.594 (34.077)	Prec@5 63.281 (64.403)
Epoch: [14][10240/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 2.9461 (2.7689)	Prec@1 31.250 (34.075)	Prec@5 60.156 (64.402)
Epoch: [14][10250/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.8173 (2.7688)	Prec@1 30.469 (34.074)	Prec@5 57.812 (64.402)
Epoch: [14][10260/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.8103 (2.7689)	Prec@1 28.906 (34.073)	Prec@5 63.281 (64.401)
Epoch: [14][10270/14090]	Time 0.889 (0.765)	Data 0.001 (0.001)	Loss 2.9017 (2.7690)	Prec@1 32.031 (34.073)	Prec@5 61.719 (64.399)
Epoch: [14][10280/14090]	Time 0.777 (0.765)	Data 0.002 (0.001)	Loss 2.6978 (2.7689)	Prec@1 40.625 (34.074)	Prec@5 67.188 (64.401)
Epoch: [14][10290/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.7526 (2.7690)	Prec@1 32.812 (34.074)	Prec@5 69.531 (64.401)
Epoch: [14][10300/14090]	Time 0.753 (0.765)	Data 0.002 (0.001)	Loss 2.4285 (2.7690)	Prec@1 42.188 (34.075)	Prec@5 69.531 (64.402)
Epoch: [14][10310/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.7044 (2.7689)	Prec@1 34.375 (34.076)	Prec@5 63.281 (64.404)
Epoch: [14][10320/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.8251 (2.7690)	Prec@1 31.250 (34.075)	Prec@5 61.719 (64.403)
Epoch: [14][10330/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 3.0948 (2.7690)	Prec@1 22.656 (34.075)	Prec@5 60.938 (64.404)
Epoch: [14][10340/14090]	Time 0.854 (0.765)	Data 0.001 (0.001)	Loss 2.9980 (2.7690)	Prec@1 32.031 (34.073)	Prec@5 57.812 (64.403)
Epoch: [14][10350/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.8089 (2.7690)	Prec@1 34.375 (34.074)	Prec@5 61.719 (64.402)
Epoch: [14][10360/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.7090 (2.7690)	Prec@1 32.031 (34.075)	Prec@5 66.406 (64.404)
Epoch: [14][10370/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.6987 (2.7689)	Prec@1 36.719 (34.076)	Prec@5 64.844 (64.404)
Epoch: [14][10380/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.4383 (2.7689)	Prec@1 37.500 (34.076)	Prec@5 70.312 (64.405)
Epoch: [14][10390/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.9243 (2.7689)	Prec@1 32.812 (34.076)	Prec@5 62.500 (64.406)
Epoch: [14][10400/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.4346 (2.7688)	Prec@1 41.406 (34.077)	Prec@5 70.312 (64.407)
Epoch: [14][10410/14090]	Time 0.844 (0.765)	Data 0.001 (0.001)	Loss 2.8639 (2.7687)	Prec@1 32.031 (34.076)	Prec@5 59.375 (64.407)
Epoch: [14][10420/14090]	Time 0.752 (0.765)	Data 0.002 (0.001)	Loss 2.7910 (2.7687)	Prec@1 32.031 (34.077)	Prec@5 62.500 (64.407)
Epoch: [14][10430/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 3.0605 (2.7688)	Prec@1 26.562 (34.078)	Prec@5 59.375 (64.407)
Epoch: [14][10440/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.8633 (2.7688)	Prec@1 30.469 (34.077)	Prec@5 62.500 (64.406)
Epoch: [14][10450/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 3.0190 (2.7688)	Prec@1 23.438 (34.075)	Prec@5 58.594 (64.405)
Epoch: [14][10460/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 2.7774 (2.7687)	Prec@1 35.156 (34.078)	Prec@5 64.062 (64.407)
Epoch: [14][10470/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 2.8003 (2.7687)	Prec@1 32.812 (34.078)	Prec@5 68.750 (64.408)
Epoch: [14][10480/14090]	Time 0.910 (0.765)	Data 0.001 (0.001)	Loss 3.0909 (2.7687)	Prec@1 31.250 (34.078)	Prec@5 59.375 (64.408)
Epoch: [14][10490/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 2.8261 (2.7688)	Prec@1 35.156 (34.078)	Prec@5 64.844 (64.407)
Epoch: [14][10500/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.5838 (2.7687)	Prec@1 39.062 (34.079)	Prec@5 69.531 (64.408)
Epoch: [14][10510/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.6961 (2.7687)	Prec@1 32.031 (34.079)	Prec@5 65.625 (64.409)
Epoch: [14][10520/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.7927 (2.7688)	Prec@1 30.469 (34.077)	Prec@5 70.312 (64.407)
Epoch: [14][10530/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.8411 (2.7688)	Prec@1 33.594 (34.076)	Prec@5 60.156 (64.408)
Epoch: [14][10540/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.6469 (2.7688)	Prec@1 35.938 (34.076)	Prec@5 65.625 (64.406)
Epoch: [14][10550/14090]	Time 0.842 (0.765)	Data 0.001 (0.001)	Loss 2.8094 (2.7688)	Prec@1 34.375 (34.075)	Prec@5 64.844 (64.407)
Epoch: [14][10560/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 3.0055 (2.7688)	Prec@1 28.906 (34.075)	Prec@5 59.375 (64.409)
Epoch: [14][10570/14090]	Time 0.774 (0.765)	Data 0.001 (0.001)	Loss 2.8012 (2.7688)	Prec@1 32.031 (34.076)	Prec@5 58.594 (64.409)
Epoch: [14][10580/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.6177 (2.7688)	Prec@1 39.062 (34.077)	Prec@5 66.406 (64.409)
Epoch: [14][10590/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.9286 (2.7689)	Prec@1 31.250 (34.076)	Prec@5 63.281 (64.411)
Epoch: [14][10600/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.8531 (2.7689)	Prec@1 32.812 (34.073)	Prec@5 60.156 (64.410)
Epoch: [14][10610/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 3.1427 (2.7690)	Prec@1 28.906 (34.072)	Prec@5 58.594 (64.407)
Epoch: [14][10620/14090]	Time 0.854 (0.765)	Data 0.001 (0.001)	Loss 2.8743 (2.7690)	Prec@1 28.906 (34.072)	Prec@5 66.406 (64.407)
Epoch: [14][10630/14090]	Time 0.720 (0.765)	Data 0.001 (0.001)	Loss 2.7538 (2.7691)	Prec@1 32.031 (34.069)	Prec@5 65.625 (64.405)
Epoch: [14][10640/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 2.8304 (2.7692)	Prec@1 32.812 (34.068)	Prec@5 65.625 (64.403)
Epoch: [14][10650/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.6659 (2.7692)	Prec@1 35.938 (34.069)	Prec@5 67.188 (64.403)
Epoch: [14][10660/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.5824 (2.7692)	Prec@1 31.250 (34.069)	Prec@5 67.969 (64.403)
Epoch: [14][10670/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.7795 (2.7693)	Prec@1 34.375 (34.066)	Prec@5 63.281 (64.401)
Epoch: [14][10680/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.7441 (2.7693)	Prec@1 37.500 (34.066)	Prec@5 65.625 (64.401)
Epoch: [14][10690/14090]	Time 0.883 (0.765)	Data 0.001 (0.001)	Loss 2.4694 (2.7693)	Prec@1 35.156 (34.066)	Prec@5 71.094 (64.402)
Epoch: [14][10700/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.4714 (2.7692)	Prec@1 35.938 (34.066)	Prec@5 66.406 (64.403)
Epoch: [14][10710/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.8238 (2.7693)	Prec@1 31.250 (34.066)	Prec@5 61.719 (64.401)
Epoch: [14][10720/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.7200 (2.7693)	Prec@1 30.469 (34.064)	Prec@5 67.188 (64.401)
Epoch: [14][10730/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.8615 (2.7693)	Prec@1 32.031 (34.064)	Prec@5 61.719 (64.401)
Epoch: [14][10740/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 3.0024 (2.7693)	Prec@1 30.469 (34.066)	Prec@5 64.062 (64.403)
Epoch: [14][10750/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.7186 (2.7693)	Prec@1 36.719 (34.066)	Prec@5 67.969 (64.402)
Epoch: [14][10760/14090]	Time 0.899 (0.765)	Data 0.001 (0.001)	Loss 2.7552 (2.7693)	Prec@1 32.812 (34.064)	Prec@5 64.062 (64.400)
Epoch: [14][10770/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 2.6286 (2.7694)	Prec@1 39.844 (34.064)	Prec@5 64.844 (64.399)
Epoch: [14][10780/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 2.9511 (2.7694)	Prec@1 34.375 (34.063)	Prec@5 64.062 (64.399)
Epoch: [14][10790/14090]	Time 0.732 (0.764)	Data 0.001 (0.001)	Loss 2.9602 (2.7694)	Prec@1 31.250 (34.064)	Prec@5 62.500 (64.398)
Epoch: [14][10800/14090]	Time 0.784 (0.764)	Data 0.001 (0.001)	Loss 2.7881 (2.7694)	Prec@1 37.500 (34.066)	Prec@5 61.719 (64.398)
Epoch: [14][10810/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 2.7146 (2.7694)	Prec@1 37.500 (34.066)	Prec@5 64.844 (64.398)
Epoch: [14][10820/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 2.9177 (2.7695)	Prec@1 31.250 (34.066)	Prec@5 57.812 (64.395)
Epoch: [14][10830/14090]	Time 0.836 (0.764)	Data 0.001 (0.001)	Loss 2.8304 (2.7695)	Prec@1 29.688 (34.067)	Prec@5 59.375 (64.395)
Epoch: [14][10840/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 3.1062 (2.7695)	Prec@1 32.812 (34.067)	Prec@5 60.938 (64.396)
Epoch: [14][10850/14090]	Time 0.725 (0.764)	Data 0.001 (0.001)	Loss 2.5160 (2.7694)	Prec@1 40.625 (34.069)	Prec@5 68.750 (64.396)
Epoch: [14][10860/14090]	Time 0.735 (0.764)	Data 0.001 (0.001)	Loss 2.6978 (2.7695)	Prec@1 33.594 (34.067)	Prec@5 64.062 (64.394)
Epoch: [14][10870/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 2.9477 (2.7695)	Prec@1 27.344 (34.066)	Prec@5 60.938 (64.395)
Epoch: [14][10880/14090]	Time 0.777 (0.764)	Data 0.001 (0.001)	Loss 3.0235 (2.7695)	Prec@1 26.562 (34.065)	Prec@5 58.594 (64.393)
Epoch: [14][10890/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 3.0168 (2.7696)	Prec@1 31.250 (34.064)	Prec@5 54.688 (64.391)
Epoch: [14][10900/14090]	Time 0.867 (0.764)	Data 0.001 (0.001)	Loss 3.0969 (2.7697)	Prec@1 32.812 (34.063)	Prec@5 64.062 (64.391)
Epoch: [14][10910/14090]	Time 0.744 (0.764)	Data 0.001 (0.001)	Loss 3.0704 (2.7697)	Prec@1 26.562 (34.062)	Prec@5 61.719 (64.391)
Epoch: [14][10920/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 2.7410 (2.7697)	Prec@1 35.156 (34.063)	Prec@5 64.844 (64.391)
Epoch: [14][10930/14090]	Time 0.783 (0.764)	Data 0.001 (0.001)	Loss 2.5805 (2.7697)	Prec@1 36.719 (34.061)	Prec@5 70.312 (64.390)
Epoch: [14][10940/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 2.5485 (2.7698)	Prec@1 35.938 (34.059)	Prec@5 71.094 (64.389)
Epoch: [14][10950/14090]	Time 0.722 (0.764)	Data 0.001 (0.001)	Loss 2.9259 (2.7697)	Prec@1 31.250 (34.059)	Prec@5 60.938 (64.390)
Epoch: [14][10960/14090]	Time 0.720 (0.764)	Data 0.001 (0.001)	Loss 2.5567 (2.7698)	Prec@1 39.844 (34.057)	Prec@5 69.531 (64.387)
Epoch: [14][10970/14090]	Time 0.846 (0.764)	Data 0.001 (0.001)	Loss 2.7338 (2.7698)	Prec@1 36.719 (34.057)	Prec@5 63.281 (64.386)
Epoch: [14][10980/14090]	Time 0.744 (0.764)	Data 0.001 (0.001)	Loss 2.4373 (2.7698)	Prec@1 31.250 (34.056)	Prec@5 73.438 (64.386)
Epoch: [14][10990/14090]	Time 0.758 (0.764)	Data 0.001 (0.001)	Loss 2.7328 (2.7698)	Prec@1 36.719 (34.056)	Prec@5 62.500 (64.386)
Epoch: [14][11000/14090]	Time 0.733 (0.764)	Data 0.001 (0.001)	Loss 2.8091 (2.7698)	Prec@1 34.375 (34.057)	Prec@5 62.500 (64.387)
Epoch: [14][11010/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 2.9208 (2.7697)	Prec@1 28.906 (34.057)	Prec@5 60.938 (64.387)
Epoch: [14][11020/14090]	Time 0.724 (0.764)	Data 0.001 (0.001)	Loss 2.9202 (2.7697)	Prec@1 32.031 (34.056)	Prec@5 56.250 (64.388)
Epoch: [14][11030/14090]	Time 0.734 (0.764)	Data 0.001 (0.001)	Loss 2.8115 (2.7697)	Prec@1 29.688 (34.056)	Prec@5 63.281 (64.387)
Epoch: [14][11040/14090]	Time 0.846 (0.764)	Data 0.001 (0.001)	Loss 2.7084 (2.7697)	Prec@1 35.156 (34.056)	Prec@5 67.969 (64.388)
Epoch: [14][11050/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 2.8587 (2.7696)	Prec@1 35.156 (34.057)	Prec@5 70.312 (64.390)
Epoch: [14][11060/14090]	Time 0.759 (0.764)	Data 0.001 (0.001)	Loss 2.5380 (2.7696)	Prec@1 40.625 (34.057)	Prec@5 67.188 (64.389)
Epoch: [14][11070/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 3.0134 (2.7697)	Prec@1 31.250 (34.057)	Prec@5 60.938 (64.388)
Epoch: [14][11080/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 2.7021 (2.7698)	Prec@1 35.938 (34.053)	Prec@5 64.062 (64.386)
Epoch: [14][11090/14090]	Time 0.730 (0.764)	Data 0.001 (0.001)	Loss 2.5420 (2.7698)	Prec@1 42.188 (34.053)	Prec@5 70.312 (64.386)
Epoch: [14][11100/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 2.8476 (2.7698)	Prec@1 41.406 (34.054)	Prec@5 60.156 (64.386)
Epoch: [14][11110/14090]	Time 0.843 (0.764)	Data 0.001 (0.001)	Loss 2.7978 (2.7698)	Prec@1 28.125 (34.053)	Prec@5 64.062 (64.387)
Epoch: [14][11120/14090]	Time 0.725 (0.764)	Data 0.001 (0.001)	Loss 2.8342 (2.7698)	Prec@1 30.469 (34.053)	Prec@5 62.500 (64.388)
Epoch: [14][11130/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 2.9988 (2.7698)	Prec@1 29.688 (34.053)	Prec@5 58.594 (64.387)
Epoch: [14][11140/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 2.9478 (2.7698)	Prec@1 30.469 (34.053)	Prec@5 64.844 (64.385)
Epoch: [14][11150/14090]	Time 0.768 (0.764)	Data 0.001 (0.001)	Loss 2.9352 (2.7698)	Prec@1 31.250 (34.053)	Prec@5 63.281 (64.386)
Epoch: [14][11160/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 2.8900 (2.7698)	Prec@1 30.469 (34.053)	Prec@5 64.062 (64.385)
Epoch: [14][11170/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 3.0235 (2.7698)	Prec@1 28.906 (34.052)	Prec@5 57.812 (64.384)
Epoch: [14][11180/14090]	Time 0.831 (0.764)	Data 0.001 (0.001)	Loss 2.8269 (2.7699)	Prec@1 28.906 (34.051)	Prec@5 66.406 (64.385)
Epoch: [14][11190/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 2.9133 (2.7699)	Prec@1 37.500 (34.051)	Prec@5 64.062 (64.385)
Epoch: [14][11200/14090]	Time 0.745 (0.764)	Data 0.001 (0.001)	Loss 2.8675 (2.7699)	Prec@1 31.250 (34.051)	Prec@5 60.156 (64.385)
Epoch: [14][11210/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 2.7439 (2.7699)	Prec@1 35.938 (34.051)	Prec@5 68.750 (64.386)
Epoch: [14][11220/14090]	Time 0.735 (0.764)	Data 0.001 (0.001)	Loss 2.6850 (2.7699)	Prec@1 35.156 (34.052)	Prec@5 67.188 (64.386)
Epoch: [14][11230/14090]	Time 0.746 (0.764)	Data 0.001 (0.001)	Loss 2.6827 (2.7699)	Prec@1 32.031 (34.052)	Prec@5 64.844 (64.385)
Epoch: [14][11240/14090]	Time 0.760 (0.764)	Data 0.001 (0.001)	Loss 2.7149 (2.7699)	Prec@1 33.594 (34.052)	Prec@5 65.625 (64.385)
Epoch: [14][11250/14090]	Time 0.823 (0.764)	Data 0.001 (0.001)	Loss 2.7013 (2.7699)	Prec@1 34.375 (34.051)	Prec@5 61.719 (64.384)
Epoch: [14][11260/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 2.9793 (2.7699)	Prec@1 28.906 (34.051)	Prec@5 60.156 (64.384)
Epoch: [14][11270/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.6280 (2.7699)	Prec@1 36.719 (34.050)	Prec@5 68.750 (64.384)
Epoch: [14][11280/14090]	Time 0.762 (0.764)	Data 0.001 (0.001)	Loss 2.7126 (2.7700)	Prec@1 39.844 (34.050)	Prec@5 66.406 (64.382)
Epoch: [14][11290/14090]	Time 0.735 (0.764)	Data 0.001 (0.001)	Loss 2.7467 (2.7701)	Prec@1 32.812 (34.050)	Prec@5 65.625 (64.381)
Epoch: [14][11300/14090]	Time 0.724 (0.764)	Data 0.001 (0.001)	Loss 2.7892 (2.7701)	Prec@1 32.031 (34.049)	Prec@5 63.281 (64.378)
Epoch: [14][11310/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.7172 (2.7701)	Prec@1 38.281 (34.050)	Prec@5 64.062 (64.377)
Epoch: [14][11320/14090]	Time 0.869 (0.764)	Data 0.001 (0.001)	Loss 2.3070 (2.7701)	Prec@1 50.781 (34.051)	Prec@5 73.438 (64.378)
Epoch: [14][11330/14090]	Time 0.736 (0.764)	Data 0.001 (0.001)	Loss 2.7120 (2.7701)	Prec@1 32.812 (34.050)	Prec@5 66.406 (64.378)
Epoch: [14][11340/14090]	Time 0.726 (0.764)	Data 0.001 (0.001)	Loss 2.8964 (2.7700)	Prec@1 34.375 (34.051)	Prec@5 59.375 (64.379)
Epoch: [14][11350/14090]	Time 0.770 (0.764)	Data 0.001 (0.001)	Loss 2.6603 (2.7700)	Prec@1 35.156 (34.051)	Prec@5 66.406 (64.379)
Epoch: [14][11360/14090]	Time 0.758 (0.764)	Data 0.001 (0.001)	Loss 2.5019 (2.7701)	Prec@1 43.750 (34.050)	Prec@5 61.719 (64.377)
Epoch: [14][11370/14090]	Time 0.724 (0.764)	Data 0.001 (0.001)	Loss 2.7419 (2.7700)	Prec@1 35.156 (34.051)	Prec@5 68.750 (64.379)
Epoch: [14][11380/14090]	Time 0.739 (0.764)	Data 0.001 (0.001)	Loss 2.8517 (2.7701)	Prec@1 36.719 (34.051)	Prec@5 59.375 (64.379)
Epoch: [14][11390/14090]	Time 0.850 (0.764)	Data 0.001 (0.001)	Loss 2.7890 (2.7701)	Prec@1 29.688 (34.049)	Prec@5 65.625 (64.378)
Epoch: [14][11400/14090]	Time 0.740 (0.764)	Data 0.001 (0.001)	Loss 2.3729 (2.7701)	Prec@1 39.844 (34.049)	Prec@5 71.875 (64.379)
Epoch: [14][11410/14090]	Time 0.732 (0.764)	Data 0.001 (0.001)	Loss 2.9562 (2.7701)	Prec@1 27.344 (34.048)	Prec@5 60.938 (64.378)
Epoch: [14][11420/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.7064 (2.7700)	Prec@1 35.156 (34.050)	Prec@5 67.188 (64.379)
Epoch: [14][11430/14090]	Time 0.743 (0.764)	Data 0.001 (0.001)	Loss 2.8564 (2.7701)	Prec@1 37.500 (34.049)	Prec@5 60.938 (64.377)
Epoch: [14][11440/14090]	Time 0.724 (0.764)	Data 0.001 (0.001)	Loss 2.8749 (2.7701)	Prec@1 33.594 (34.047)	Prec@5 61.719 (64.376)
Epoch: [14][11450/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 2.9575 (2.7702)	Prec@1 33.594 (34.045)	Prec@5 60.156 (64.373)
Epoch: [14][11460/14090]	Time 0.835 (0.764)	Data 0.001 (0.001)	Loss 3.0898 (2.7703)	Prec@1 28.906 (34.043)	Prec@5 57.812 (64.371)
Epoch: [14][11470/14090]	Time 0.744 (0.764)	Data 0.001 (0.001)	Loss 2.8809 (2.7704)	Prec@1 32.031 (34.042)	Prec@5 58.594 (64.370)
Epoch: [14][11480/14090]	Time 0.782 (0.764)	Data 0.001 (0.001)	Loss 2.8155 (2.7704)	Prec@1 35.156 (34.043)	Prec@5 60.156 (64.370)
Epoch: [14][11490/14090]	Time 0.724 (0.764)	Data 0.001 (0.001)	Loss 2.3945 (2.7704)	Prec@1 45.312 (34.043)	Prec@5 71.094 (64.370)
Epoch: [14][11500/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 2.5618 (2.7704)	Prec@1 36.719 (34.042)	Prec@5 66.406 (64.368)
Epoch: [14][11510/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.7747 (2.7704)	Prec@1 34.375 (34.043)	Prec@5 62.500 (64.370)
Epoch: [14][11520/14090]	Time 0.782 (0.764)	Data 0.001 (0.001)	Loss 2.9493 (2.7704)	Prec@1 28.906 (34.043)	Prec@5 61.719 (64.370)
Epoch: [14][11530/14090]	Time 0.827 (0.764)	Data 0.001 (0.001)	Loss 2.7995 (2.7703)	Prec@1 35.156 (34.042)	Prec@5 64.062 (64.371)
Epoch: [14][11540/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 2.6351 (2.7704)	Prec@1 39.062 (34.043)	Prec@5 64.844 (64.369)
Epoch: [14][11550/14090]	Time 0.743 (0.764)	Data 0.001 (0.001)	Loss 2.6121 (2.7704)	Prec@1 42.188 (34.042)	Prec@5 64.844 (64.369)
Epoch: [14][11560/14090]	Time 0.720 (0.764)	Data 0.001 (0.001)	Loss 2.7632 (2.7704)	Prec@1 35.938 (34.041)	Prec@5 64.844 (64.369)
Epoch: [14][11570/14090]	Time 0.736 (0.764)	Data 0.001 (0.001)	Loss 2.9209 (2.7704)	Prec@1 32.031 (34.040)	Prec@5 57.812 (64.367)
Epoch: [14][11580/14090]	Time 0.781 (0.764)	Data 0.001 (0.001)	Loss 2.6453 (2.7704)	Prec@1 34.375 (34.041)	Prec@5 64.062 (64.369)
Epoch: [14][11590/14090]	Time 0.728 (0.764)	Data 0.001 (0.001)	Loss 2.6855 (2.7704)	Prec@1 38.281 (34.040)	Prec@5 64.844 (64.367)
Epoch: [14][11600/14090]	Time 0.884 (0.764)	Data 0.001 (0.001)	Loss 2.6448 (2.7705)	Prec@1 38.281 (34.041)	Prec@5 66.406 (64.366)
Epoch: [14][11610/14090]	Time 0.722 (0.764)	Data 0.001 (0.001)	Loss 2.7143 (2.7705)	Prec@1 35.156 (34.041)	Prec@5 60.156 (64.364)
Epoch: [14][11620/14090]	Time 0.748 (0.764)	Data 0.001 (0.001)	Loss 2.7342 (2.7705)	Prec@1 37.500 (34.041)	Prec@5 67.969 (64.364)
Epoch: [14][11630/14090]	Time 0.744 (0.764)	Data 0.001 (0.001)	Loss 2.6710 (2.7705)	Prec@1 34.375 (34.040)	Prec@5 64.844 (64.365)
Epoch: [14][11640/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 2.9994 (2.7705)	Prec@1 25.781 (34.039)	Prec@5 62.500 (64.365)
Epoch: [14][11650/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 2.8629 (2.7706)	Prec@1 35.156 (34.039)	Prec@5 61.719 (64.363)
Epoch: [14][11660/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 2.9026 (2.7706)	Prec@1 36.719 (34.039)	Prec@5 62.500 (64.363)
Epoch: [14][11670/14090]	Time 0.837 (0.764)	Data 0.001 (0.001)	Loss 2.7544 (2.7706)	Prec@1 29.688 (34.038)	Prec@5 64.062 (64.363)
Epoch: [14][11680/14090]	Time 0.733 (0.764)	Data 0.001 (0.001)	Loss 2.7010 (2.7706)	Prec@1 30.469 (34.038)	Prec@5 67.969 (64.362)
Epoch: [14][11690/14090]	Time 0.736 (0.764)	Data 0.001 (0.001)	Loss 2.8056 (2.7707)	Prec@1 28.906 (34.038)	Prec@5 68.750 (64.362)
Epoch: [14][11700/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.8487 (2.7707)	Prec@1 32.031 (34.037)	Prec@5 60.938 (64.361)
Epoch: [14][11710/14090]	Time 0.765 (0.764)	Data 0.001 (0.001)	Loss 2.9256 (2.7707)	Prec@1 33.594 (34.036)	Prec@5 60.156 (64.361)
Epoch: [14][11720/14090]	Time 0.734 (0.764)	Data 0.001 (0.001)	Loss 2.7077 (2.7707)	Prec@1 38.281 (34.036)	Prec@5 64.844 (64.362)
Epoch: [14][11730/14090]	Time 0.735 (0.764)	Data 0.001 (0.001)	Loss 3.0952 (2.7707)	Prec@1 29.688 (34.036)	Prec@5 59.375 (64.361)
Epoch: [14][11740/14090]	Time 0.845 (0.764)	Data 0.001 (0.001)	Loss 2.6906 (2.7708)	Prec@1 35.938 (34.036)	Prec@5 67.188 (64.361)
Epoch: [14][11750/14090]	Time 0.774 (0.764)	Data 0.001 (0.001)	Loss 2.5591 (2.7707)	Prec@1 39.844 (34.038)	Prec@5 66.406 (64.361)
Epoch: [14][11760/14090]	Time 0.771 (0.764)	Data 0.001 (0.001)	Loss 3.0300 (2.7708)	Prec@1 30.469 (34.036)	Prec@5 54.688 (64.359)
Epoch: [14][11770/14090]	Time 0.729 (0.764)	Data 0.001 (0.001)	Loss 2.7259 (2.7708)	Prec@1 34.375 (34.034)	Prec@5 64.062 (64.359)
Epoch: [14][11780/14090]	Time 0.728 (0.764)	Data 0.001 (0.001)	Loss 2.7937 (2.7708)	Prec@1 38.281 (34.036)	Prec@5 66.406 (64.360)
Epoch: [14][11790/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 2.7288 (2.7707)	Prec@1 35.156 (34.038)	Prec@5 67.188 (64.361)
Epoch: [14][11800/14090]	Time 0.775 (0.764)	Data 0.001 (0.001)	Loss 2.7640 (2.7706)	Prec@1 32.812 (34.039)	Prec@5 67.969 (64.363)
Epoch: [14][11810/14090]	Time 0.854 (0.764)	Data 0.001 (0.001)	Loss 2.7003 (2.7706)	Prec@1 33.594 (34.039)	Prec@5 64.844 (64.363)
Epoch: [14][11820/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 2.8874 (2.7706)	Prec@1 32.031 (34.040)	Prec@5 64.062 (64.365)
Epoch: [14][11830/14090]	Time 0.743 (0.764)	Data 0.001 (0.001)	Loss 2.7865 (2.7706)	Prec@1 28.125 (34.039)	Prec@5 65.625 (64.363)
Epoch: [14][11840/14090]	Time 0.766 (0.764)	Data 0.001 (0.001)	Loss 2.9414 (2.7708)	Prec@1 34.375 (34.036)	Prec@5 56.250 (64.361)
Epoch: [14][11850/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 2.9538 (2.7708)	Prec@1 29.688 (34.035)	Prec@5 61.719 (64.362)
Epoch: [14][11860/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 3.0794 (2.7707)	Prec@1 27.344 (34.035)	Prec@5 57.031 (64.363)
Epoch: [14][11870/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 2.9454 (2.7707)	Prec@1 27.344 (34.036)	Prec@5 59.375 (64.363)
Epoch: [14][11880/14090]	Time 0.845 (0.764)	Data 0.001 (0.001)	Loss 2.4991 (2.7707)	Prec@1 41.406 (34.036)	Prec@5 68.750 (64.364)
Epoch: [14][11890/14090]	Time 0.779 (0.764)	Data 0.001 (0.001)	Loss 2.7912 (2.7707)	Prec@1 35.156 (34.036)	Prec@5 64.062 (64.362)
Epoch: [14][11900/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 2.9250 (2.7707)	Prec@1 31.250 (34.036)	Prec@5 58.594 (64.361)
Epoch: [14][11910/14090]	Time 0.758 (0.764)	Data 0.001 (0.001)	Loss 2.7368 (2.7707)	Prec@1 32.812 (34.034)	Prec@5 66.406 (64.361)
Epoch: [14][11920/14090]	Time 0.744 (0.764)	Data 0.001 (0.001)	Loss 2.8746 (2.7709)	Prec@1 30.469 (34.033)	Prec@5 57.812 (64.358)
Epoch: [14][11930/14090]	Time 0.763 (0.764)	Data 0.000 (0.001)	Loss 2.5673 (2.7709)	Prec@1 39.062 (34.031)	Prec@5 71.094 (64.357)
Epoch: [14][11940/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 2.8155 (2.7710)	Prec@1 35.156 (34.031)	Prec@5 64.844 (64.356)
Epoch: [14][11950/14090]	Time 0.847 (0.764)	Data 0.001 (0.001)	Loss 2.8859 (2.7711)	Prec@1 32.031 (34.030)	Prec@5 58.594 (64.354)
Epoch: [14][11960/14090]	Time 0.732 (0.764)	Data 0.001 (0.001)	Loss 2.8101 (2.7711)	Prec@1 29.688 (34.029)	Prec@5 62.500 (64.353)
Epoch: [14][11970/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 2.8917 (2.7711)	Prec@1 34.375 (34.029)	Prec@5 61.719 (64.352)
Epoch: [14][11980/14090]	Time 0.778 (0.764)	Data 0.001 (0.001)	Loss 2.7454 (2.7711)	Prec@1 35.156 (34.027)	Prec@5 64.062 (64.352)
Epoch: [14][11990/14090]	Time 0.759 (0.764)	Data 0.001 (0.001)	Loss 2.6953 (2.7711)	Prec@1 28.125 (34.027)	Prec@5 69.531 (64.351)
Epoch: [14][12000/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 2.5678 (2.7711)	Prec@1 36.719 (34.026)	Prec@5 67.969 (64.350)
Epoch: [14][12010/14090]	Time 0.732 (0.764)	Data 0.001 (0.001)	Loss 2.8669 (2.7711)	Prec@1 30.469 (34.027)	Prec@5 64.062 (64.350)
Epoch: [14][12020/14090]	Time 0.864 (0.764)	Data 0.001 (0.001)	Loss 2.4421 (2.7710)	Prec@1 35.156 (34.027)	Prec@5 71.875 (64.351)
Epoch: [14][12030/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 2.7375 (2.7710)	Prec@1 32.031 (34.027)	Prec@5 62.500 (64.351)
Epoch: [14][12040/14090]	Time 0.769 (0.764)	Data 0.001 (0.001)	Loss 2.8090 (2.7710)	Prec@1 29.688 (34.027)	Prec@5 65.625 (64.351)
Epoch: [14][12050/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 2.6658 (2.7710)	Prec@1 33.594 (34.026)	Prec@5 62.500 (64.352)
Epoch: [14][12060/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 3.0081 (2.7711)	Prec@1 35.156 (34.025)	Prec@5 60.938 (64.350)
Epoch: [14][12070/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 2.8754 (2.7711)	Prec@1 28.125 (34.025)	Prec@5 60.938 (64.349)
Epoch: [14][12080/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 2.9756 (2.7711)	Prec@1 28.906 (34.025)	Prec@5 55.469 (64.349)
Epoch: [14][12090/14090]	Time 0.853 (0.764)	Data 0.001 (0.001)	Loss 3.0391 (2.7712)	Prec@1 28.125 (34.024)	Prec@5 62.500 (64.349)
Epoch: [14][12100/14090]	Time 0.728 (0.764)	Data 0.001 (0.001)	Loss 3.1765 (2.7713)	Prec@1 25.781 (34.023)	Prec@5 54.688 (64.346)
Epoch: [14][12110/14090]	Time 0.775 (0.764)	Data 0.001 (0.001)	Loss 2.7111 (2.7713)	Prec@1 30.469 (34.023)	Prec@5 63.281 (64.345)
Epoch: [14][12120/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 2.7375 (2.7713)	Prec@1 38.281 (34.022)	Prec@5 67.969 (64.344)
Epoch: [14][12130/14090]	Time 0.733 (0.764)	Data 0.001 (0.001)	Loss 2.8307 (2.7714)	Prec@1 35.938 (34.021)	Prec@5 55.469 (64.344)
Epoch: [14][12140/14090]	Time 0.728 (0.764)	Data 0.001 (0.001)	Loss 2.7365 (2.7713)	Prec@1 34.375 (34.022)	Prec@5 70.312 (64.346)
Epoch: [14][12150/14090]	Time 0.758 (0.764)	Data 0.001 (0.001)	Loss 2.9183 (2.7713)	Prec@1 33.594 (34.021)	Prec@5 60.938 (64.346)
Epoch: [14][12160/14090]	Time 0.875 (0.764)	Data 0.001 (0.001)	Loss 2.7150 (2.7713)	Prec@1 34.375 (34.021)	Prec@5 63.281 (64.346)
Epoch: [14][12170/14090]	Time 0.779 (0.764)	Data 0.001 (0.001)	Loss 2.6018 (2.7713)	Prec@1 32.031 (34.020)	Prec@5 67.188 (64.346)
Epoch: [14][12180/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.5509 (2.7713)	Prec@1 42.188 (34.020)	Prec@5 70.312 (64.346)
Epoch: [14][12190/14090]	Time 0.765 (0.764)	Data 0.001 (0.001)	Loss 2.7658 (2.7713)	Prec@1 35.156 (34.021)	Prec@5 63.281 (64.347)
Epoch: [14][12200/14090]	Time 0.746 (0.764)	Data 0.001 (0.001)	Loss 3.0465 (2.7713)	Prec@1 27.344 (34.020)	Prec@5 52.344 (64.346)
Epoch: [14][12210/14090]	Time 0.724 (0.764)	Data 0.001 (0.001)	Loss 3.0879 (2.7713)	Prec@1 29.688 (34.021)	Prec@5 55.469 (64.344)
Epoch: [14][12220/14090]	Time 0.727 (0.764)	Data 0.001 (0.001)	Loss 2.8372 (2.7713)	Prec@1 33.594 (34.022)	Prec@5 64.062 (64.345)
Epoch: [14][12230/14090]	Time 0.873 (0.764)	Data 0.001 (0.001)	Loss 2.6402 (2.7713)	Prec@1 34.375 (34.023)	Prec@5 67.969 (64.345)
Epoch: [14][12240/14090]	Time 0.732 (0.764)	Data 0.001 (0.001)	Loss 2.5341 (2.7713)	Prec@1 38.281 (34.023)	Prec@5 68.750 (64.344)
Epoch: [14][12250/14090]	Time 0.724 (0.764)	Data 0.001 (0.001)	Loss 2.7805 (2.7712)	Prec@1 38.281 (34.024)	Prec@5 60.938 (64.345)
Epoch: [14][12260/14090]	Time 0.748 (0.764)	Data 0.001 (0.001)	Loss 2.8739 (2.7712)	Prec@1 33.594 (34.025)	Prec@5 66.406 (64.345)
Epoch: [14][12270/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 2.7599 (2.7712)	Prec@1 35.156 (34.025)	Prec@5 65.625 (64.347)
Epoch: [14][12280/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 2.6691 (2.7712)	Prec@1 35.156 (34.025)	Prec@5 61.719 (64.347)
Epoch: [14][12290/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 2.8913 (2.7712)	Prec@1 28.906 (34.024)	Prec@5 63.281 (64.345)
Epoch: [14][12300/14090]	Time 0.908 (0.764)	Data 0.001 (0.001)	Loss 3.0511 (2.7713)	Prec@1 30.469 (34.023)	Prec@5 60.938 (64.343)
Epoch: [14][12310/14090]	Time 0.776 (0.764)	Data 0.001 (0.001)	Loss 2.6132 (2.7713)	Prec@1 37.500 (34.023)	Prec@5 68.750 (64.343)
Epoch: [14][12320/14090]	Time 0.764 (0.764)	Data 0.001 (0.001)	Loss 2.7226 (2.7713)	Prec@1 28.906 (34.023)	Prec@5 69.531 (64.343)
Epoch: [14][12330/14090]	Time 0.784 (0.764)	Data 0.001 (0.001)	Loss 2.6833 (2.7713)	Prec@1 36.719 (34.022)	Prec@5 67.188 (64.342)
Epoch: [14][12340/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 2.9801 (2.7714)	Prec@1 34.375 (34.021)	Prec@5 60.156 (64.341)
Epoch: [14][12350/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 2.7446 (2.7714)	Prec@1 33.594 (34.020)	Prec@5 64.062 (64.339)
Epoch: [14][12360/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 2.7542 (2.7714)	Prec@1 28.125 (34.020)	Prec@5 67.188 (64.341)
Epoch: [14][12370/14090]	Time 0.844 (0.764)	Data 0.001 (0.001)	Loss 2.5546 (2.7714)	Prec@1 39.062 (34.020)	Prec@5 68.750 (64.340)
Epoch: [14][12380/14090]	Time 0.726 (0.764)	Data 0.001 (0.001)	Loss 2.9371 (2.7713)	Prec@1 31.250 (34.019)	Prec@5 57.031 (64.340)
Epoch: [14][12390/14090]	Time 0.769 (0.764)	Data 0.001 (0.001)	Loss 2.6748 (2.7713)	Prec@1 35.938 (34.021)	Prec@5 67.188 (64.341)
Epoch: [14][12400/14090]	Time 0.758 (0.764)	Data 0.001 (0.001)	Loss 2.6109 (2.7712)	Prec@1 34.375 (34.022)	Prec@5 67.188 (64.344)
Epoch: [14][12410/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 2.7385 (2.7712)	Prec@1 35.938 (34.022)	Prec@5 62.500 (64.343)
Epoch: [14][12420/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 2.9425 (2.7713)	Prec@1 30.469 (34.022)	Prec@5 59.375 (64.342)
Epoch: [14][12430/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 2.4391 (2.7713)	Prec@1 39.062 (34.021)	Prec@5 72.656 (64.343)
Epoch: [14][12440/14090]	Time 0.871 (0.764)	Data 0.001 (0.001)	Loss 2.7785 (2.7712)	Prec@1 28.125 (34.021)	Prec@5 65.625 (64.344)
Epoch: [14][12450/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 2.8777 (2.7713)	Prec@1 35.156 (34.020)	Prec@5 63.281 (64.344)
Epoch: [14][12460/14090]	Time 0.736 (0.764)	Data 0.001 (0.001)	Loss 2.8416 (2.7713)	Prec@1 31.250 (34.020)	Prec@5 63.281 (64.344)
Epoch: [14][12470/14090]	Time 0.733 (0.764)	Data 0.001 (0.001)	Loss 2.8858 (2.7713)	Prec@1 36.719 (34.019)	Prec@5 60.156 (64.345)
Epoch: [14][12480/14090]	Time 0.739 (0.764)	Data 0.001 (0.001)	Loss 2.8072 (2.7713)	Prec@1 29.688 (34.021)	Prec@5 63.281 (64.344)
Epoch: [14][12490/14090]	Time 0.759 (0.764)	Data 0.001 (0.001)	Loss 2.6262 (2.7713)	Prec@1 42.969 (34.021)	Prec@5 67.969 (64.345)
Epoch: [14][12500/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 2.5116 (2.7713)	Prec@1 36.719 (34.020)	Prec@5 70.312 (64.346)
Epoch: [14][12510/14090]	Time 0.849 (0.764)	Data 0.001 (0.001)	Loss 2.7300 (2.7712)	Prec@1 35.938 (34.020)	Prec@5 65.625 (64.347)
Epoch: [14][12520/14090]	Time 0.762 (0.764)	Data 0.001 (0.001)	Loss 2.9391 (2.7713)	Prec@1 27.344 (34.019)	Prec@5 64.062 (64.347)
Epoch: [14][12530/14090]	Time 0.730 (0.764)	Data 0.001 (0.001)	Loss 2.6188 (2.7713)	Prec@1 36.719 (34.019)	Prec@5 67.969 (64.346)
Epoch: [14][12540/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 3.0443 (2.7713)	Prec@1 27.344 (34.019)	Prec@5 58.594 (64.347)
Epoch: [14][12550/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 2.7731 (2.7713)	Prec@1 30.469 (34.019)	Prec@5 63.281 (64.347)
Epoch: [14][12560/14090]	Time 0.772 (0.764)	Data 0.001 (0.001)	Loss 2.6647 (2.7713)	Prec@1 34.375 (34.019)	Prec@5 67.969 (64.346)
Epoch: [14][12570/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 2.9979 (2.7714)	Prec@1 30.469 (34.016)	Prec@5 60.156 (64.344)
Epoch: [14][12580/14090]	Time 0.852 (0.764)	Data 0.001 (0.001)	Loss 2.6430 (2.7714)	Prec@1 34.375 (34.018)	Prec@5 68.750 (64.345)
Epoch: [14][12590/14090]	Time 0.727 (0.764)	Data 0.001 (0.001)	Loss 3.0081 (2.7715)	Prec@1 28.906 (34.015)	Prec@5 62.500 (64.343)
Epoch: [14][12600/14090]	Time 0.748 (0.764)	Data 0.001 (0.001)	Loss 2.6587 (2.7715)	Prec@1 35.156 (34.016)	Prec@5 67.969 (64.344)
Epoch: [14][12610/14090]	Time 0.729 (0.764)	Data 0.001 (0.001)	Loss 2.8399 (2.7715)	Prec@1 29.688 (34.016)	Prec@5 67.188 (64.345)
Epoch: [14][12620/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 2.7074 (2.7715)	Prec@1 33.594 (34.015)	Prec@5 66.406 (64.346)
Epoch: [14][12630/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 2.8143 (2.7714)	Prec@1 27.344 (34.015)	Prec@5 57.031 (64.346)
Epoch: [14][12640/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 2.7559 (2.7714)	Prec@1 30.469 (34.016)	Prec@5 66.406 (64.348)
Epoch: [14][12650/14090]	Time 0.913 (0.764)	Data 0.001 (0.001)	Loss 2.8082 (2.7713)	Prec@1 39.062 (34.018)	Prec@5 60.156 (64.350)
Epoch: [14][12660/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 2.8533 (2.7713)	Prec@1 32.031 (34.016)	Prec@5 63.281 (64.349)
Epoch: [14][12670/14090]	Time 0.767 (0.764)	Data 0.001 (0.001)	Loss 2.6661 (2.7713)	Prec@1 32.031 (34.017)	Prec@5 70.312 (64.350)
Epoch: [14][12680/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 2.4873 (2.7713)	Prec@1 39.844 (34.017)	Prec@5 71.875 (64.350)
Epoch: [14][12690/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 2.8018 (2.7713)	Prec@1 32.031 (34.016)	Prec@5 62.500 (64.349)
Epoch: [14][12700/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 2.7398 (2.7714)	Prec@1 33.594 (34.014)	Prec@5 65.625 (64.348)
Epoch: [14][12710/14090]	Time 0.732 (0.764)	Data 0.001 (0.001)	Loss 2.5327 (2.7714)	Prec@1 39.062 (34.015)	Prec@5 70.312 (64.347)
Epoch: [14][12720/14090]	Time 0.864 (0.764)	Data 0.001 (0.001)	Loss 2.7657 (2.7714)	Prec@1 34.375 (34.016)	Prec@5 66.406 (64.348)
Epoch: [14][12730/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 3.0429 (2.7714)	Prec@1 24.219 (34.015)	Prec@5 57.031 (64.348)
Epoch: [14][12740/14090]	Time 0.739 (0.764)	Data 0.001 (0.001)	Loss 2.6441 (2.7713)	Prec@1 39.844 (34.017)	Prec@5 67.969 (64.350)
Epoch: [14][12750/14090]	Time 0.735 (0.764)	Data 0.001 (0.001)	Loss 2.5735 (2.7712)	Prec@1 39.062 (34.019)	Prec@5 68.750 (64.352)
Epoch: [14][12760/14090]	Time 0.725 (0.764)	Data 0.001 (0.001)	Loss 2.9440 (2.7712)	Prec@1 39.062 (34.019)	Prec@5 59.375 (64.353)
Epoch: [14][12770/14090]	Time 0.739 (0.764)	Data 0.001 (0.001)	Loss 2.5597 (2.7712)	Prec@1 46.875 (34.021)	Prec@5 67.188 (64.353)
Epoch: [14][12780/14090]	Time 0.746 (0.764)	Data 0.001 (0.001)	Loss 2.4338 (2.7712)	Prec@1 45.312 (34.022)	Prec@5 69.531 (64.354)
Epoch: [14][12790/14090]	Time 0.887 (0.764)	Data 0.001 (0.001)	Loss 2.7781 (2.7712)	Prec@1 32.031 (34.022)	Prec@5 64.844 (64.354)
Epoch: [14][12800/14090]	Time 0.759 (0.764)	Data 0.001 (0.001)	Loss 2.9672 (2.7711)	Prec@1 29.688 (34.023)	Prec@5 64.062 (64.355)
Epoch: [14][12810/14090]	Time 0.740 (0.764)	Data 0.001 (0.001)	Loss 2.4982 (2.7711)	Prec@1 32.812 (34.023)	Prec@5 71.094 (64.355)
Epoch: [14][12820/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 2.6644 (2.7711)	Prec@1 34.375 (34.025)	Prec@5 60.156 (64.357)
Epoch: [14][12830/14090]	Time 0.724 (0.764)	Data 0.001 (0.001)	Loss 2.7910 (2.7711)	Prec@1 38.281 (34.025)	Prec@5 63.281 (64.356)
Epoch: [14][12840/14090]	Time 0.736 (0.764)	Data 0.001 (0.001)	Loss 2.6021 (2.7711)	Prec@1 35.938 (34.025)	Prec@5 67.188 (64.356)
Epoch: [14][12850/14090]	Time 0.786 (0.764)	Data 0.001 (0.001)	Loss 2.7693 (2.7711)	Prec@1 39.062 (34.028)	Prec@5 67.188 (64.357)
Epoch: [14][12860/14090]	Time 0.849 (0.764)	Data 0.001 (0.001)	Loss 2.9333 (2.7711)	Prec@1 34.375 (34.027)	Prec@5 64.062 (64.356)
Epoch: [14][12870/14090]	Time 0.728 (0.764)	Data 0.001 (0.001)	Loss 2.7697 (2.7711)	Prec@1 38.281 (34.028)	Prec@5 67.969 (64.357)
Epoch: [14][12880/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 2.7912 (2.7711)	Prec@1 36.719 (34.027)	Prec@5 62.500 (64.356)
Epoch: [14][12890/14090]	Time 0.735 (0.764)	Data 0.001 (0.001)	Loss 2.9189 (2.7711)	Prec@1 35.938 (34.027)	Prec@5 60.938 (64.356)
Epoch: [14][12900/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 2.7710 (2.7712)	Prec@1 33.594 (34.025)	Prec@5 63.281 (64.352)
Epoch: [14][12910/14090]	Time 0.744 (0.764)	Data 0.001 (0.001)	Loss 2.7927 (2.7712)	Prec@1 28.906 (34.026)	Prec@5 70.312 (64.353)
Epoch: [14][12920/14090]	Time 0.765 (0.764)	Data 0.001 (0.001)	Loss 2.9770 (2.7712)	Prec@1 29.688 (34.026)	Prec@5 60.156 (64.352)
Epoch: [14][12930/14090]	Time 0.912 (0.764)	Data 0.001 (0.001)	Loss 2.7646 (2.7713)	Prec@1 36.719 (34.025)	Prec@5 64.844 (64.350)
Epoch: [14][12940/14090]	Time 0.743 (0.764)	Data 0.001 (0.001)	Loss 2.7310 (2.7714)	Prec@1 33.594 (34.023)	Prec@5 67.969 (64.351)
Epoch: [14][12950/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 3.0666 (2.7714)	Prec@1 28.125 (34.022)	Prec@5 57.031 (64.351)
Epoch: [14][12960/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 2.8635 (2.7714)	Prec@1 31.250 (34.022)	Prec@5 66.406 (64.351)
Epoch: [14][12970/14090]	Time 0.762 (0.764)	Data 0.001 (0.001)	Loss 2.7720 (2.7714)	Prec@1 35.156 (34.022)	Prec@5 67.188 (64.350)
Epoch: [14][12980/14090]	Time 0.720 (0.764)	Data 0.001 (0.001)	Loss 2.9918 (2.7714)	Prec@1 36.719 (34.022)	Prec@5 59.375 (64.351)
Epoch: [14][12990/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 2.5433 (2.7714)	Prec@1 32.031 (34.020)	Prec@5 70.312 (64.350)
Epoch: [14][13000/14090]	Time 0.849 (0.764)	Data 0.001 (0.001)	Loss 2.7744 (2.7714)	Prec@1 36.719 (34.021)	Prec@5 60.156 (64.350)
Epoch: [14][13010/14090]	Time 0.727 (0.764)	Data 0.001 (0.001)	Loss 2.8106 (2.7714)	Prec@1 33.594 (34.021)	Prec@5 67.188 (64.350)
Epoch: [14][13020/14090]	Time 0.762 (0.764)	Data 0.001 (0.001)	Loss 2.3186 (2.7713)	Prec@1 39.844 (34.023)	Prec@5 76.562 (64.352)
Epoch: [14][13030/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 2.7710 (2.7713)	Prec@1 35.938 (34.022)	Prec@5 63.281 (64.352)
Epoch: [14][13040/14090]	Time 0.743 (0.764)	Data 0.001 (0.001)	Loss 2.8340 (2.7713)	Prec@1 34.375 (34.022)	Prec@5 67.188 (64.351)
Epoch: [14][13050/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 2.8181 (2.7713)	Prec@1 35.156 (34.022)	Prec@5 59.375 (64.350)
Epoch: [14][13060/14090]	Time 0.780 (0.764)	Data 0.001 (0.001)	Loss 3.0839 (2.7713)	Prec@1 36.719 (34.024)	Prec@5 62.500 (64.351)
Epoch: [14][13070/14090]	Time 0.855 (0.764)	Data 0.001 (0.001)	Loss 3.4634 (2.7713)	Prec@1 23.438 (34.024)	Prec@5 51.562 (64.350)
Epoch: [14][13080/14090]	Time 0.774 (0.764)	Data 0.001 (0.001)	Loss 2.7907 (2.7713)	Prec@1 32.031 (34.025)	Prec@5 67.188 (64.350)
Epoch: [14][13090/14090]	Time 0.761 (0.764)	Data 0.001 (0.001)	Loss 2.6872 (2.7713)	Prec@1 37.500 (34.026)	Prec@5 64.062 (64.351)
Epoch: [14][13100/14090]	Time 0.743 (0.764)	Data 0.001 (0.001)	Loss 2.9191 (2.7713)	Prec@1 31.250 (34.025)	Prec@5 65.625 (64.350)
Epoch: [14][13110/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 2.9971 (2.7714)	Prec@1 31.250 (34.025)	Prec@5 57.031 (64.350)
Epoch: [14][13120/14090]	Time 0.782 (0.764)	Data 0.001 (0.001)	Loss 2.6936 (2.7713)	Prec@1 32.812 (34.027)	Prec@5 64.844 (64.351)
Epoch: [14][13130/14090]	Time 0.758 (0.764)	Data 0.001 (0.001)	Loss 2.6403 (2.7713)	Prec@1 35.156 (34.027)	Prec@5 69.531 (64.352)
Epoch: [14][13140/14090]	Time 0.868 (0.764)	Data 0.001 (0.001)	Loss 2.5986 (2.7712)	Prec@1 42.969 (34.029)	Prec@5 69.531 (64.353)
Epoch: [14][13150/14090]	Time 0.724 (0.764)	Data 0.001 (0.001)	Loss 2.6830 (2.7712)	Prec@1 39.844 (34.028)	Prec@5 67.188 (64.354)
Epoch: [14][13160/14090]	Time 0.735 (0.764)	Data 0.002 (0.001)	Loss 3.0534 (2.7712)	Prec@1 25.000 (34.027)	Prec@5 58.594 (64.353)
Epoch: [14][13170/14090]	Time 0.723 (0.764)	Data 0.001 (0.001)	Loss 2.6424 (2.7713)	Prec@1 34.375 (34.026)	Prec@5 68.750 (64.353)
Epoch: [14][13180/14090]	Time 0.725 (0.764)	Data 0.001 (0.001)	Loss 2.6458 (2.7712)	Prec@1 31.250 (34.026)	Prec@5 64.062 (64.354)
Epoch: [14][13190/14090]	Time 0.759 (0.764)	Data 0.001 (0.001)	Loss 2.8291 (2.7712)	Prec@1 33.594 (34.025)	Prec@5 58.594 (64.355)
Epoch: [14][13200/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 2.6895 (2.7712)	Prec@1 37.500 (34.024)	Prec@5 69.531 (64.356)
Epoch: [14][13210/14090]	Time 0.826 (0.764)	Data 0.001 (0.001)	Loss 2.6886 (2.7712)	Prec@1 34.375 (34.024)	Prec@5 68.750 (64.358)
Epoch: [14][13220/14090]	Time 0.745 (0.764)	Data 0.001 (0.001)	Loss 2.7787 (2.7712)	Prec@1 35.156 (34.024)	Prec@5 65.625 (64.358)
Epoch: [14][13230/14090]	Time 0.760 (0.764)	Data 0.001 (0.001)	Loss 2.5709 (2.7712)	Prec@1 39.062 (34.023)	Prec@5 67.188 (64.359)
Epoch: [14][13240/14090]	Time 0.770 (0.764)	Data 0.001 (0.001)	Loss 2.7574 (2.7711)	Prec@1 32.031 (34.024)	Prec@5 60.938 (64.359)
Epoch: [14][13250/14090]	Time 0.766 (0.764)	Data 0.001 (0.001)	Loss 2.6372 (2.7712)	Prec@1 40.625 (34.023)	Prec@5 67.188 (64.358)
Epoch: [14][13260/14090]	Time 0.729 (0.764)	Data 0.001 (0.001)	Loss 2.6705 (2.7712)	Prec@1 35.938 (34.021)	Prec@5 66.406 (64.357)
Epoch: [14][13270/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 2.6827 (2.7712)	Prec@1 39.844 (34.021)	Prec@5 64.844 (64.356)
Epoch: [14][13280/14090]	Time 0.892 (0.764)	Data 0.001 (0.001)	Loss 2.6683 (2.7712)	Prec@1 40.625 (34.020)	Prec@5 64.062 (64.356)
Epoch: [14][13290/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 3.0863 (2.7713)	Prec@1 28.125 (34.019)	Prec@5 57.031 (64.355)
Epoch: [14][13300/14090]	Time 0.744 (0.764)	Data 0.001 (0.001)	Loss 2.6342 (2.7712)	Prec@1 35.938 (34.020)	Prec@5 65.625 (64.356)
Epoch: [14][13310/14090]	Time 0.724 (0.764)	Data 0.001 (0.001)	Loss 2.9089 (2.7712)	Prec@1 32.031 (34.021)	Prec@5 60.938 (64.356)
Epoch: [14][13320/14090]	Time 0.760 (0.764)	Data 0.001 (0.001)	Loss 2.7738 (2.7712)	Prec@1 33.594 (34.020)	Prec@5 62.500 (64.354)
Epoch: [14][13330/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 2.6367 (2.7712)	Prec@1 34.375 (34.019)	Prec@5 67.969 (64.353)
Epoch: [14][13340/14090]	Time 0.762 (0.764)	Data 0.001 (0.001)	Loss 2.8682 (2.7712)	Prec@1 34.375 (34.020)	Prec@5 60.938 (64.354)
Epoch: [14][13350/14090]	Time 0.880 (0.764)	Data 0.001 (0.001)	Loss 2.7788 (2.7712)	Prec@1 32.812 (34.021)	Prec@5 64.844 (64.354)
Epoch: [14][13360/14090]	Time 0.724 (0.764)	Data 0.001 (0.001)	Loss 2.5655 (2.7712)	Prec@1 38.281 (34.023)	Prec@5 69.531 (64.355)
Epoch: [14][13370/14090]	Time 0.743 (0.764)	Data 0.001 (0.001)	Loss 3.0857 (2.7712)	Prec@1 29.688 (34.021)	Prec@5 63.281 (64.355)
Epoch: [14][13380/14090]	Time 0.727 (0.764)	Data 0.001 (0.001)	Loss 3.0058 (2.7712)	Prec@1 30.469 (34.021)	Prec@5 56.250 (64.354)
Epoch: [14][13390/14090]	Time 0.762 (0.764)	Data 0.001 (0.001)	Loss 2.8819 (2.7713)	Prec@1 31.250 (34.020)	Prec@5 57.812 (64.353)
Epoch: [14][13400/14090]	Time 0.763 (0.764)	Data 0.001 (0.001)	Loss 2.5257 (2.7713)	Prec@1 35.938 (34.019)	Prec@5 69.531 (64.353)
Epoch: [14][13410/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 2.8613 (2.7713)	Prec@1 32.812 (34.019)	Prec@5 64.062 (64.353)
Epoch: [14][13420/14090]	Time 0.857 (0.764)	Data 0.001 (0.001)	Loss 2.7917 (2.7714)	Prec@1 37.500 (34.019)	Prec@5 58.594 (64.352)
Epoch: [14][13430/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 2.7848 (2.7714)	Prec@1 29.688 (34.018)	Prec@5 65.625 (64.351)
Epoch: [14][13440/14090]	Time 0.773 (0.764)	Data 0.001 (0.001)	Loss 2.6349 (2.7713)	Prec@1 38.281 (34.019)	Prec@5 63.281 (64.351)
Epoch: [14][13450/14090]	Time 0.734 (0.764)	Data 0.001 (0.001)	Loss 2.8057 (2.7713)	Prec@1 30.469 (34.020)	Prec@5 66.406 (64.352)
Epoch: [14][13460/14090]	Time 0.748 (0.764)	Data 0.001 (0.001)	Loss 2.6759 (2.7713)	Prec@1 35.156 (34.020)	Prec@5 65.625 (64.350)
Epoch: [14][13470/14090]	Time 0.764 (0.764)	Data 0.001 (0.001)	Loss 2.9786 (2.7714)	Prec@1 28.125 (34.018)	Prec@5 60.938 (64.349)
Epoch: [14][13480/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 2.9015 (2.7714)	Prec@1 31.250 (34.016)	Prec@5 57.031 (64.348)
Epoch: [14][13490/14090]	Time 0.855 (0.764)	Data 0.001 (0.001)	Loss 2.8619 (2.7715)	Prec@1 35.156 (34.016)	Prec@5 60.938 (64.348)
Epoch: [14][13500/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 2.5867 (2.7715)	Prec@1 40.625 (34.017)	Prec@5 66.406 (64.348)
Epoch: [14][13510/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 2.7817 (2.7715)	Prec@1 32.031 (34.016)	Prec@5 63.281 (64.347)
Epoch: [14][13520/14090]	Time 0.729 (0.764)	Data 0.001 (0.001)	Loss 2.9878 (2.7715)	Prec@1 34.375 (34.014)	Prec@5 60.938 (64.348)
Epoch: [14][13530/14090]	Time 0.759 (0.764)	Data 0.001 (0.001)	Loss 2.8457 (2.7715)	Prec@1 39.062 (34.016)	Prec@5 60.938 (64.348)
Epoch: [14][13540/14090]	Time 0.763 (0.764)	Data 0.001 (0.001)	Loss 2.7320 (2.7715)	Prec@1 39.844 (34.018)	Prec@5 66.406 (64.348)
Epoch: [14][13550/14090]	Time 0.746 (0.764)	Data 0.001 (0.001)	Loss 2.8403 (2.7715)	Prec@1 33.594 (34.017)	Prec@5 63.281 (64.349)
Epoch: [14][13560/14090]	Time 0.903 (0.764)	Data 0.001 (0.001)	Loss 2.7757 (2.7714)	Prec@1 35.156 (34.018)	Prec@5 59.375 (64.349)
Epoch: [14][13570/14090]	Time 0.762 (0.764)	Data 0.001 (0.001)	Loss 2.8065 (2.7715)	Prec@1 34.375 (34.017)	Prec@5 60.938 (64.348)
Epoch: [14][13580/14090]	Time 0.770 (0.764)	Data 0.001 (0.001)	Loss 2.9469 (2.7715)	Prec@1 34.375 (34.016)	Prec@5 62.500 (64.348)
Epoch: [14][13590/14090]	Time 0.745 (0.764)	Data 0.001 (0.001)	Loss 2.6984 (2.7716)	Prec@1 33.594 (34.015)	Prec@5 63.281 (64.347)
Epoch: [14][13600/14090]	Time 0.769 (0.764)	Data 0.001 (0.001)	Loss 2.5463 (2.7716)	Prec@1 36.719 (34.014)	Prec@5 71.094 (64.346)
Epoch: [14][13610/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 2.6008 (2.7716)	Prec@1 37.500 (34.013)	Prec@5 65.625 (64.345)
Epoch: [14][13620/14090]	Time 0.735 (0.764)	Data 0.001 (0.001)	Loss 2.5971 (2.7716)	Prec@1 39.062 (34.014)	Prec@5 64.844 (64.345)
Epoch: [14][13630/14090]	Time 0.858 (0.764)	Data 0.001 (0.001)	Loss 2.5279 (2.7716)	Prec@1 35.938 (34.014)	Prec@5 67.969 (64.346)
Epoch: [14][13640/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 2.5219 (2.7715)	Prec@1 42.969 (34.014)	Prec@5 69.531 (64.346)
Epoch: [14][13650/14090]	Time 0.726 (0.764)	Data 0.001 (0.001)	Loss 2.6558 (2.7715)	Prec@1 37.500 (34.016)	Prec@5 69.531 (64.348)
Epoch: [14][13660/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 2.8573 (2.7715)	Prec@1 30.469 (34.015)	Prec@5 61.719 (64.348)
Epoch: [14][13670/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 2.3847 (2.7715)	Prec@1 34.375 (34.015)	Prec@5 67.969 (64.347)
Epoch: [14][13680/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 2.7418 (2.7714)	Prec@1 34.375 (34.015)	Prec@5 64.844 (64.348)
Epoch: [14][13690/14090]	Time 0.726 (0.764)	Data 0.001 (0.001)	Loss 2.7217 (2.7714)	Prec@1 29.688 (34.014)	Prec@5 73.438 (64.348)
Epoch: [14][13700/14090]	Time 0.862 (0.764)	Data 0.001 (0.001)	Loss 2.6343 (2.7714)	Prec@1 29.688 (34.014)	Prec@5 67.188 (64.349)
Epoch: [14][13710/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 2.6806 (2.7714)	Prec@1 38.281 (34.014)	Prec@5 62.500 (64.349)
Epoch: [14][13720/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 2.7458 (2.7715)	Prec@1 29.688 (34.011)	Prec@5 64.062 (64.347)
Epoch: [14][13730/14090]	Time 0.748 (0.764)	Data 0.001 (0.001)	Loss 2.8635 (2.7714)	Prec@1 31.250 (34.012)	Prec@5 63.281 (64.348)
Epoch: [14][13740/14090]	Time 0.746 (0.764)	Data 0.001 (0.001)	Loss 2.7098 (2.7714)	Prec@1 32.812 (34.012)	Prec@5 64.062 (64.349)
Epoch: [14][13750/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 2.4368 (2.7715)	Prec@1 40.625 (34.011)	Prec@5 67.188 (64.347)
Epoch: [14][13760/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 2.8559 (2.7715)	Prec@1 32.812 (34.012)	Prec@5 61.719 (64.346)
Epoch: [14][13770/14090]	Time 0.818 (0.764)	Data 0.001 (0.001)	Loss 2.7987 (2.7715)	Prec@1 31.250 (34.012)	Prec@5 64.062 (64.346)
Epoch: [14][13780/14090]	Time 0.761 (0.764)	Data 0.001 (0.001)	Loss 2.9005 (2.7715)	Prec@1 35.156 (34.012)	Prec@5 59.375 (64.346)
Epoch: [14][13790/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 2.6857 (2.7715)	Prec@1 38.281 (34.012)	Prec@5 64.844 (64.346)
Epoch: [14][13800/14090]	Time 0.744 (0.764)	Data 0.001 (0.001)	Loss 2.5802 (2.7715)	Prec@1 39.844 (34.012)	Prec@5 63.281 (64.347)
Epoch: [14][13810/14090]	Time 0.763 (0.764)	Data 0.001 (0.001)	Loss 2.7193 (2.7715)	Prec@1 32.812 (34.013)	Prec@5 64.844 (64.347)
Epoch: [14][13820/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 2.6084 (2.7715)	Prec@1 35.156 (34.013)	Prec@5 65.625 (64.346)
Epoch: [14][13830/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 2.9996 (2.7716)	Prec@1 35.938 (34.013)	Prec@5 62.500 (64.345)
Epoch: [14][13840/14090]	Time 0.877 (0.764)	Data 0.001 (0.001)	Loss 2.8840 (2.7716)	Prec@1 28.906 (34.012)	Prec@5 64.844 (64.344)
Epoch: [14][13850/14090]	Time 0.739 (0.764)	Data 0.001 (0.001)	Loss 2.5991 (2.7715)	Prec@1 36.719 (34.014)	Prec@5 67.969 (64.344)
Epoch: [14][13860/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 3.0319 (2.7715)	Prec@1 35.156 (34.016)	Prec@5 57.812 (64.346)
Epoch: [14][13870/14090]	Time 0.760 (0.764)	Data 0.001 (0.001)	Loss 2.6058 (2.7714)	Prec@1 29.688 (34.015)	Prec@5 64.844 (64.347)
Epoch: [14][13880/14090]	Time 0.781 (0.764)	Data 0.002 (0.001)	Loss 2.7515 (2.7714)	Prec@1 34.375 (34.016)	Prec@5 65.625 (64.347)
Epoch: [14][13890/14090]	Time 0.759 (0.764)	Data 0.001 (0.001)	Loss 2.6491 (2.7715)	Prec@1 34.375 (34.014)	Prec@5 67.969 (64.346)
Epoch: [14][13900/14090]	Time 0.732 (0.764)	Data 0.001 (0.001)	Loss 2.5926 (2.7715)	Prec@1 40.625 (34.014)	Prec@5 68.750 (64.346)
Epoch: [14][13910/14090]	Time 0.860 (0.764)	Data 0.001 (0.001)	Loss 2.7884 (2.7715)	Prec@1 32.031 (34.013)	Prec@5 64.844 (64.346)
Epoch: [14][13920/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 2.7567 (2.7715)	Prec@1 39.062 (34.014)	Prec@5 69.531 (64.347)
Epoch: [14][13930/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 2.5757 (2.7714)	Prec@1 36.719 (34.015)	Prec@5 68.750 (64.349)
Epoch: [14][13940/14090]	Time 0.762 (0.764)	Data 0.001 (0.001)	Loss 2.6374 (2.7714)	Prec@1 39.062 (34.015)	Prec@5 68.750 (64.349)
Epoch: [14][13950/14090]	Time 0.770 (0.764)	Data 0.001 (0.001)	Loss 2.7137 (2.7714)	Prec@1 36.719 (34.016)	Prec@5 61.719 (64.350)
Epoch: [14][13960/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 2.8046 (2.7714)	Prec@1 28.906 (34.015)	Prec@5 61.719 (64.350)
Epoch: [14][13970/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 2.8469 (2.7714)	Prec@1 25.781 (34.013)	Prec@5 60.938 (64.349)
Epoch: [14][13980/14090]	Time 0.870 (0.764)	Data 0.001 (0.001)	Loss 2.9140 (2.7715)	Prec@1 32.031 (34.012)	Prec@5 59.375 (64.347)
Epoch: [14][13990/14090]	Time 0.739 (0.764)	Data 0.001 (0.001)	Loss 3.0321 (2.7715)	Prec@1 28.906 (34.012)	Prec@5 60.156 (64.347)
Epoch: [14][14000/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 2.9335 (2.7715)	Prec@1 25.781 (34.012)	Prec@5 67.188 (64.346)
Epoch: [14][14010/14090]	Time 0.727 (0.764)	Data 0.001 (0.001)	Loss 2.4811 (2.7715)	Prec@1 39.844 (34.012)	Prec@5 68.750 (64.347)
Epoch: [14][14020/14090]	Time 0.722 (0.764)	Data 0.001 (0.001)	Loss 2.7220 (2.7715)	Prec@1 38.281 (34.012)	Prec@5 64.062 (64.346)
Epoch: [14][14030/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 2.7691 (2.7715)	Prec@1 35.156 (34.011)	Prec@5 63.281 (64.346)
Epoch: [14][14040/14090]	Time 0.760 (0.764)	Data 0.001 (0.001)	Loss 2.8691 (2.7715)	Prec@1 32.812 (34.012)	Prec@5 67.188 (64.345)
Epoch: [14][14050/14090]	Time 0.821 (0.764)	Data 0.001 (0.001)	Loss 2.6303 (2.7715)	Prec@1 35.156 (34.011)	Prec@5 65.625 (64.345)
Epoch: [14][14060/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 2.7014 (2.7715)	Prec@1 34.375 (34.010)	Prec@5 66.406 (64.346)
Epoch: [14][14070/14090]	Time 0.732 (0.764)	Data 0.001 (0.001)	Loss 2.8798 (2.7715)	Prec@1 26.562 (34.010)	Prec@5 61.719 (64.347)
Epoch: [14][14080/14090]	Time 0.731 (0.764)	Data 0.000 (0.001)	Loss 2.7262 (2.7715)	Prec@1 33.594 (34.010)	Prec@5 64.844 (64.347)
Test: [0/286]	Time 3.217 (3.217)	Loss 1.7191 (1.7191)	Prec@1 53.125 (53.125)	Prec@5 89.844 (89.844)
Test: [10/286]	Time 0.355 (0.533)	Loss 2.4889 (2.4211)	Prec@1 31.250 (39.702)	Prec@5 76.562 (74.006)
Test: [20/286]	Time 0.232 (0.407)	Loss 2.5970 (2.4582)	Prec@1 40.625 (39.211)	Prec@5 72.656 (73.251)
Test: [30/286]	Time 0.238 (0.358)	Loss 1.9893 (2.3296)	Prec@1 42.188 (42.818)	Prec@5 79.688 (74.521)
Test: [40/286]	Time 0.305 (0.333)	Loss 3.0008 (2.3742)	Prec@1 23.438 (41.197)	Prec@5 60.156 (72.980)
Test: [50/286]	Time 0.251 (0.318)	Loss 1.0538 (2.3461)	Prec@1 76.562 (41.942)	Prec@5 89.844 (73.529)
Test: [60/286]	Time 0.338 (0.310)	Loss 2.9906 (2.3705)	Prec@1 33.594 (41.829)	Prec@5 63.281 (72.631)
Test: [70/286]	Time 0.227 (0.303)	Loss 2.3229 (2.3656)	Prec@1 40.625 (41.835)	Prec@5 74.219 (72.623)
Test: [80/286]	Time 0.296 (0.300)	Loss 3.6393 (2.3944)	Prec@1 18.750 (40.982)	Prec@5 46.094 (72.145)
Test: [90/286]	Time 0.298 (0.296)	Loss 1.9050 (2.4080)	Prec@1 53.125 (40.642)	Prec@5 82.031 (71.746)
Test: [100/286]	Time 0.238 (0.295)	Loss 2.7225 (2.4168)	Prec@1 31.250 (40.323)	Prec@5 67.969 (71.805)
Test: [110/286]	Time 0.297 (0.293)	Loss 2.4673 (2.4210)	Prec@1 37.500 (40.027)	Prec@5 68.750 (71.875)
Test: [120/286]	Time 0.241 (0.291)	Loss 2.9000 (2.4237)	Prec@1 28.906 (40.070)	Prec@5 64.844 (71.978)
Test: [130/286]	Time 0.300 (0.289)	Loss 1.8399 (2.4174)	Prec@1 47.656 (40.118)	Prec@5 87.500 (72.143)
Test: [140/286]	Time 0.295 (0.288)	Loss 2.7770 (2.4150)	Prec@1 45.312 (40.160)	Prec@5 61.719 (72.202)
Test: [150/286]	Time 0.234 (0.286)	Loss 3.6310 (2.4303)	Prec@1 15.625 (39.601)	Prec@5 46.875 (71.989)
Test: [160/286]	Time 0.299 (0.285)	Loss 3.2117 (2.4303)	Prec@1 17.188 (39.650)	Prec@5 61.719 (72.074)
Test: [170/286]	Time 0.240 (0.285)	Loss 2.1289 (2.4223)	Prec@1 41.406 (39.702)	Prec@5 78.906 (72.140)
Test: [180/286]	Time 0.239 (0.284)	Loss 2.5785 (2.4352)	Prec@1 50.781 (39.628)	Prec@5 68.750 (71.944)
Test: [190/286]	Time 0.234 (0.283)	Loss 3.3692 (2.4636)	Prec@1 7.031 (39.128)	Prec@5 57.031 (71.421)
Test: [200/286]	Time 0.245 (0.282)	Loss 1.9156 (2.4511)	Prec@1 63.281 (39.455)	Prec@5 85.156 (71.657)
Test: [210/286]	Time 0.302 (0.282)	Loss 2.7532 (2.4587)	Prec@1 34.375 (39.214)	Prec@5 67.969 (71.627)
Test: [220/286]	Time 0.310 (0.281)	Loss 3.9628 (2.4736)	Prec@1 10.156 (39.066)	Prec@5 45.312 (71.398)
Test: [230/286]	Time 0.267 (0.281)	Loss 1.4003 (2.4665)	Prec@1 67.969 (39.330)	Prec@5 82.812 (71.371)
Test: [240/286]	Time 0.238 (0.280)	Loss 2.3292 (2.4728)	Prec@1 35.156 (39.212)	Prec@5 79.688 (71.304)
Test: [250/286]	Time 0.237 (0.280)	Loss 1.9329 (2.4725)	Prec@1 42.969 (39.097)	Prec@5 82.031 (71.424)
Test: [260/286]	Time 0.300 (0.280)	Loss 1.7855 (2.4668)	Prec@1 57.812 (39.173)	Prec@5 87.500 (71.576)
Test: [270/286]	Time 0.233 (0.279)	Loss 2.2196 (2.4671)	Prec@1 39.062 (39.062)	Prec@5 80.469 (71.624)
Test: [280/286]	Time 0.266 (0.280)	Loss 2.6696 (2.4501)	Prec@1 34.375 (39.538)	Prec@5 75.000 (71.903)
 * Prec@1 39.733 Prec@5 71.926
Epoch: [15][0/14090]	Time 4.659 (4.659)	Data 3.880 (3.880)	Loss 2.6091 (2.6091)	Prec@1 35.938 (35.938)	Prec@5 66.406 (66.406)
Epoch: [15][10/14090]	Time 0.724 (1.099)	Data 0.001 (0.353)	Loss 2.9380 (2.7309)	Prec@1 28.906 (35.653)	Prec@5 62.500 (63.849)
Epoch: [15][20/14090]	Time 0.998 (0.943)	Data 0.001 (0.186)	Loss 2.5464 (2.7798)	Prec@1 33.594 (33.891)	Prec@5 71.094 (62.835)
Epoch: [15][30/14090]	Time 0.720 (0.878)	Data 0.001 (0.126)	Loss 2.8065 (2.7898)	Prec@1 33.594 (33.392)	Prec@5 64.844 (62.853)
Epoch: [15][40/14090]	Time 0.767 (0.853)	Data 0.001 (0.095)	Loss 2.7571 (2.7781)	Prec@1 30.469 (33.708)	Prec@5 66.406 (63.262)
Epoch: [15][50/14090]	Time 0.731 (0.837)	Data 0.001 (0.077)	Loss 2.2061 (2.7565)	Prec@1 43.750 (33.931)	Prec@5 74.219 (63.649)
Epoch: [15][60/14090]	Time 0.740 (0.823)	Data 0.001 (0.064)	Loss 2.6029 (2.7492)	Prec@1 42.188 (34.234)	Prec@5 66.406 (64.127)
Epoch: [15][70/14090]	Time 0.754 (0.817)	Data 0.001 (0.056)	Loss 2.7140 (2.7449)	Prec@1 33.594 (34.177)	Prec@5 63.281 (64.250)
Epoch: [15][80/14090]	Time 0.760 (0.811)	Data 0.001 (0.049)	Loss 2.7956 (2.7302)	Prec@1 35.156 (34.732)	Prec@5 62.500 (64.622)
Epoch: [15][90/14090]	Time 0.861 (0.806)	Data 0.001 (0.044)	Loss 2.5948 (2.7252)	Prec@1 35.156 (34.693)	Prec@5 63.281 (64.672)
Epoch: [15][100/14090]	Time 0.751 (0.802)	Data 0.001 (0.039)	Loss 2.6699 (2.7234)	Prec@1 35.938 (34.669)	Prec@5 65.625 (64.790)
Epoch: [15][110/14090]	Time 0.752 (0.799)	Data 0.001 (0.036)	Loss 2.7647 (2.7313)	Prec@1 32.812 (34.361)	Prec@5 62.500 (64.696)
Epoch: [15][120/14090]	Time 0.776 (0.797)	Data 0.001 (0.033)	Loss 2.5763 (2.7265)	Prec@1 40.625 (34.511)	Prec@5 71.094 (64.889)
Epoch: [15][130/14090]	Time 0.748 (0.795)	Data 0.001 (0.030)	Loss 2.6620 (2.7286)	Prec@1 37.500 (34.488)	Prec@5 62.500 (64.695)
Epoch: [15][140/14090]	Time 0.724 (0.793)	Data 0.001 (0.028)	Loss 2.8184 (2.7321)	Prec@1 34.375 (34.519)	Prec@5 65.625 (64.661)
Epoch: [15][150/14090]	Time 0.752 (0.791)	Data 0.001 (0.027)	Loss 2.6238 (2.7312)	Prec@1 39.062 (34.613)	Prec@5 68.750 (64.616)
Epoch: [15][160/14090]	Time 0.895 (0.790)	Data 0.001 (0.025)	Loss 2.6761 (2.7348)	Prec@1 30.469 (34.530)	Prec@5 66.406 (64.606)
Epoch: [15][170/14090]	Time 0.740 (0.789)	Data 0.001 (0.024)	Loss 2.5767 (2.7327)	Prec@1 36.719 (34.558)	Prec@5 63.281 (64.670)
Epoch: [15][180/14090]	Time 0.753 (0.787)	Data 0.001 (0.022)	Loss 2.5564 (2.7386)	Prec@1 40.625 (34.457)	Prec@5 69.531 (64.546)
Epoch: [15][190/14090]	Time 0.779 (0.787)	Data 0.001 (0.021)	Loss 2.6075 (2.7399)	Prec@1 34.375 (34.469)	Prec@5 74.219 (64.643)
Epoch: [15][200/14090]	Time 0.725 (0.786)	Data 0.001 (0.020)	Loss 2.3986 (2.7418)	Prec@1 46.875 (34.461)	Prec@5 78.125 (64.688)
Epoch: [15][210/14090]	Time 0.757 (0.785)	Data 0.001 (0.019)	Loss 2.8001 (2.7451)	Prec@1 33.594 (34.401)	Prec@5 64.844 (64.699)
Epoch: [15][220/14090]	Time 0.740 (0.783)	Data 0.001 (0.018)	Loss 2.7054 (2.7423)	Prec@1 32.812 (34.470)	Prec@5 66.406 (64.699)
Epoch: [15][230/14090]	Time 0.859 (0.783)	Data 0.001 (0.018)	Loss 2.6886 (2.7437)	Prec@1 35.938 (34.453)	Prec@5 67.969 (64.675)
Epoch: [15][240/14090]	Time 0.730 (0.782)	Data 0.001 (0.017)	Loss 2.8466 (2.7429)	Prec@1 33.594 (34.501)	Prec@5 59.375 (64.763)
Epoch: [15][250/14090]	Time 0.731 (0.781)	Data 0.001 (0.016)	Loss 2.6958 (2.7441)	Prec@1 35.938 (34.503)	Prec@5 66.406 (64.775)
Epoch: [15][260/14090]	Time 0.730 (0.781)	Data 0.001 (0.016)	Loss 2.8061 (2.7460)	Prec@1 33.594 (34.453)	Prec@5 67.188 (64.724)
Epoch: [15][270/14090]	Time 0.752 (0.780)	Data 0.001 (0.015)	Loss 3.0133 (2.7458)	Prec@1 29.688 (34.415)	Prec@5 58.594 (64.734)
Epoch: [15][280/14090]	Time 0.756 (0.780)	Data 0.001 (0.015)	Loss 2.6913 (2.7468)	Prec@1 39.062 (34.436)	Prec@5 66.406 (64.758)
Epoch: [15][290/14090]	Time 0.778 (0.780)	Data 0.001 (0.014)	Loss 2.6961 (2.7513)	Prec@1 33.594 (34.351)	Prec@5 67.188 (64.691)
Epoch: [15][300/14090]	Time 0.859 (0.780)	Data 0.001 (0.014)	Loss 2.6968 (2.7542)	Prec@1 35.156 (34.302)	Prec@5 67.188 (64.639)
Epoch: [15][310/14090]	Time 0.737 (0.779)	Data 0.001 (0.013)	Loss 2.7926 (2.7540)	Prec@1 34.375 (34.335)	Prec@5 62.500 (64.613)
Epoch: [15][320/14090]	Time 0.750 (0.778)	Data 0.001 (0.013)	Loss 2.5252 (2.7564)	Prec@1 34.375 (34.214)	Prec@5 71.094 (64.583)
Epoch: [15][330/14090]	Time 0.725 (0.777)	Data 0.001 (0.013)	Loss 2.8531 (2.7525)	Prec@1 35.156 (34.266)	Prec@5 61.719 (64.664)
Epoch: [15][340/14090]	Time 0.743 (0.777)	Data 0.001 (0.012)	Loss 2.9116 (2.7528)	Prec@1 33.594 (34.293)	Prec@5 64.062 (64.644)
Epoch: [15][350/14090]	Time 0.734 (0.777)	Data 0.001 (0.012)	Loss 2.7467 (2.7507)	Prec@1 31.250 (34.342)	Prec@5 63.281 (64.675)
Epoch: [15][360/14090]	Time 0.731 (0.776)	Data 0.001 (0.012)	Loss 2.3511 (2.7514)	Prec@1 39.062 (34.308)	Prec@5 73.438 (64.673)
Epoch: [15][370/14090]	Time 0.883 (0.776)	Data 0.002 (0.011)	Loss 2.9323 (2.7504)	Prec@1 35.938 (34.301)	Prec@5 59.375 (64.709)
Epoch: [15][380/14090]	Time 0.743 (0.776)	Data 0.001 (0.011)	Loss 2.6868 (2.7499)	Prec@1 36.719 (34.344)	Prec@5 64.844 (64.698)
Epoch: [15][390/14090]	Time 0.732 (0.775)	Data 0.001 (0.011)	Loss 2.7028 (2.7490)	Prec@1 35.156 (34.369)	Prec@5 70.312 (64.758)
Epoch: [15][400/14090]	Time 0.756 (0.775)	Data 0.001 (0.011)	Loss 2.7843 (2.7485)	Prec@1 34.375 (34.435)	Prec@5 64.844 (64.779)
Epoch: [15][410/14090]	Time 0.752 (0.775)	Data 0.001 (0.010)	Loss 2.5713 (2.7485)	Prec@1 41.406 (34.470)	Prec@5 70.312 (64.768)
Epoch: [15][420/14090]	Time 0.770 (0.774)	Data 0.001 (0.010)	Loss 2.9925 (2.7486)	Prec@1 32.031 (34.509)	Prec@5 60.938 (64.747)
Epoch: [15][430/14090]	Time 0.756 (0.774)	Data 0.001 (0.010)	Loss 3.0484 (2.7500)	Prec@1 28.906 (34.511)	Prec@5 58.594 (64.724)
Epoch: [15][440/14090]	Time 0.879 (0.774)	Data 0.001 (0.010)	Loss 2.8657 (2.7497)	Prec@1 31.250 (34.499)	Prec@5 61.719 (64.729)
Epoch: [15][450/14090]	Time 0.735 (0.773)	Data 0.001 (0.009)	Loss 2.6407 (2.7493)	Prec@1 39.062 (34.514)	Prec@5 71.094 (64.755)
Epoch: [15][460/14090]	Time 0.767 (0.773)	Data 0.001 (0.009)	Loss 2.6864 (2.7494)	Prec@1 39.844 (34.489)	Prec@5 64.844 (64.744)
Epoch: [15][470/14090]	Time 0.758 (0.773)	Data 0.001 (0.009)	Loss 2.7750 (2.7503)	Prec@1 34.375 (34.476)	Prec@5 64.062 (64.743)
Epoch: [15][480/14090]	Time 0.727 (0.772)	Data 0.001 (0.009)	Loss 2.6239 (2.7500)	Prec@1 34.375 (34.479)	Prec@5 67.188 (64.754)
Epoch: [15][490/14090]	Time 0.761 (0.772)	Data 0.002 (0.009)	Loss 2.7046 (2.7501)	Prec@1 32.812 (34.443)	Prec@5 60.156 (64.716)
Epoch: [15][500/14090]	Time 0.760 (0.772)	Data 0.001 (0.009)	Loss 2.8695 (2.7505)	Prec@1 31.250 (34.475)	Prec@5 61.719 (64.699)
Epoch: [15][510/14090]	Time 0.843 (0.772)	Data 0.001 (0.008)	Loss 2.7422 (2.7524)	Prec@1 35.938 (34.429)	Prec@5 67.188 (64.668)
Epoch: [15][520/14090]	Time 0.726 (0.772)	Data 0.001 (0.008)	Loss 2.7449 (2.7526)	Prec@1 31.250 (34.424)	Prec@5 64.062 (64.674)
Epoch: [15][530/14090]	Time 0.763 (0.771)	Data 0.001 (0.008)	Loss 2.7430 (2.7545)	Prec@1 39.062 (34.400)	Prec@5 61.719 (64.617)
Epoch: [15][540/14090]	Time 0.720 (0.771)	Data 0.001 (0.008)	Loss 2.9225 (2.7549)	Prec@1 32.031 (34.415)	Prec@5 64.062 (64.630)
Epoch: [15][550/14090]	Time 0.742 (0.771)	Data 0.001 (0.008)	Loss 2.8877 (2.7576)	Prec@1 30.469 (34.384)	Prec@5 63.281 (64.596)
Epoch: [15][560/14090]	Time 0.742 (0.771)	Data 0.001 (0.008)	Loss 2.9223 (2.7576)	Prec@1 32.031 (34.388)	Prec@5 63.281 (64.582)
Epoch: [15][570/14090]	Time 0.745 (0.771)	Data 0.001 (0.008)	Loss 2.6818 (2.7572)	Prec@1 37.500 (34.368)	Prec@5 62.500 (64.578)
Epoch: [15][580/14090]	Time 0.878 (0.771)	Data 0.001 (0.008)	Loss 2.6256 (2.7567)	Prec@1 35.938 (34.378)	Prec@5 67.969 (64.600)
Epoch: [15][590/14090]	Time 0.739 (0.771)	Data 0.001 (0.007)	Loss 2.8518 (2.7576)	Prec@1 35.156 (34.371)	Prec@5 64.062 (64.570)
Epoch: [15][600/14090]	Time 0.744 (0.770)	Data 0.001 (0.007)	Loss 2.7477 (2.7574)	Prec@1 32.031 (34.358)	Prec@5 61.719 (64.558)
Epoch: [15][610/14090]	Time 0.725 (0.770)	Data 0.001 (0.007)	Loss 2.4834 (2.7576)	Prec@1 38.281 (34.356)	Prec@5 69.531 (64.551)
Epoch: [15][620/14090]	Time 0.727 (0.770)	Data 0.001 (0.007)	Loss 3.0400 (2.7579)	Prec@1 29.688 (34.350)	Prec@5 61.719 (64.525)
Epoch: [15][630/14090]	Time 0.731 (0.770)	Data 0.001 (0.007)	Loss 2.7259 (2.7588)	Prec@1 37.500 (34.347)	Prec@5 67.188 (64.528)
Epoch: [15][640/14090]	Time 0.745 (0.770)	Data 0.001 (0.007)	Loss 2.5339 (2.7585)	Prec@1 38.281 (34.354)	Prec@5 67.969 (64.556)
Epoch: [15][650/14090]	Time 0.872 (0.770)	Data 0.001 (0.007)	Loss 2.8434 (2.7582)	Prec@1 32.812 (34.338)	Prec@5 62.500 (64.559)
Epoch: [15][660/14090]	Time 0.762 (0.770)	Data 0.001 (0.007)	Loss 2.8532 (2.7586)	Prec@1 32.031 (34.323)	Prec@5 64.062 (64.559)
Epoch: [15][670/14090]	Time 0.758 (0.769)	Data 0.001 (0.007)	Loss 2.7791 (2.7589)	Prec@1 37.500 (34.355)	Prec@5 64.844 (64.564)
Epoch: [15][680/14090]	Time 0.734 (0.769)	Data 0.001 (0.007)	Loss 2.7208 (2.7588)	Prec@1 39.062 (34.344)	Prec@5 69.531 (64.582)
Epoch: [15][690/14090]	Time 0.767 (0.769)	Data 0.001 (0.006)	Loss 2.7590 (2.7576)	Prec@1 31.250 (34.343)	Prec@5 68.750 (64.614)
Epoch: [15][700/14090]	Time 0.746 (0.769)	Data 0.001 (0.006)	Loss 2.6526 (2.7579)	Prec@1 35.938 (34.340)	Prec@5 65.625 (64.594)
Epoch: [15][710/14090]	Time 0.740 (0.769)	Data 0.001 (0.006)	Loss 2.8153 (2.7587)	Prec@1 35.938 (34.334)	Prec@5 60.938 (64.578)
Epoch: [15][720/14090]	Time 0.861 (0.769)	Data 0.001 (0.006)	Loss 2.6001 (2.7592)	Prec@1 34.375 (34.310)	Prec@5 66.406 (64.570)
Epoch: [15][730/14090]	Time 0.748 (0.769)	Data 0.001 (0.006)	Loss 3.1503 (2.7610)	Prec@1 32.812 (34.291)	Prec@5 57.812 (64.549)
Epoch: [15][740/14090]	Time 0.741 (0.769)	Data 0.001 (0.006)	Loss 3.1438 (2.7617)	Prec@1 25.000 (34.277)	Prec@5 55.469 (64.537)
Epoch: [15][750/14090]	Time 0.764 (0.769)	Data 0.001 (0.006)	Loss 2.6855 (2.7630)	Prec@1 37.500 (34.248)	Prec@5 64.844 (64.510)
Epoch: [15][760/14090]	Time 0.774 (0.769)	Data 0.001 (0.006)	Loss 3.0651 (2.7641)	Prec@1 30.469 (34.224)	Prec@5 62.500 (64.496)
Epoch: [15][770/14090]	Time 0.728 (0.769)	Data 0.001 (0.006)	Loss 2.5429 (2.7641)	Prec@1 35.938 (34.230)	Prec@5 71.094 (64.482)
Epoch: [15][780/14090]	Time 0.728 (0.769)	Data 0.001 (0.006)	Loss 2.6509 (2.7641)	Prec@1 35.156 (34.230)	Prec@5 66.406 (64.487)
Epoch: [15][790/14090]	Time 0.846 (0.769)	Data 0.001 (0.006)	Loss 2.7793 (2.7645)	Prec@1 38.281 (34.244)	Prec@5 64.844 (64.477)
Epoch: [15][800/14090]	Time 0.748 (0.769)	Data 0.001 (0.006)	Loss 2.7041 (2.7638)	Prec@1 34.375 (34.257)	Prec@5 64.844 (64.500)
Epoch: [15][810/14090]	Time 0.749 (0.769)	Data 0.001 (0.006)	Loss 2.6733 (2.7633)	Prec@1 33.594 (34.256)	Prec@5 66.406 (64.509)
Epoch: [15][820/14090]	Time 0.734 (0.769)	Data 0.001 (0.006)	Loss 2.9541 (2.7633)	Prec@1 28.906 (34.247)	Prec@5 59.375 (64.495)
Epoch: [15][830/14090]	Time 0.737 (0.768)	Data 0.001 (0.006)	Loss 2.5764 (2.7634)	Prec@1 39.844 (34.260)	Prec@5 70.312 (64.494)
Epoch: [15][840/14090]	Time 0.762 (0.769)	Data 0.001 (0.005)	Loss 2.8672 (2.7636)	Prec@1 36.719 (34.258)	Prec@5 60.938 (64.487)
Epoch: [15][850/14090]	Time 0.734 (0.768)	Data 0.001 (0.005)	Loss 2.7949 (2.7634)	Prec@1 41.406 (34.275)	Prec@5 67.188 (64.508)
Epoch: [15][860/14090]	Time 0.858 (0.769)	Data 0.001 (0.005)	Loss 2.6660 (2.7638)	Prec@1 37.500 (34.280)	Prec@5 62.500 (64.491)
Epoch: [15][870/14090]	Time 0.743 (0.768)	Data 0.001 (0.005)	Loss 2.7157 (2.7635)	Prec@1 35.938 (34.273)	Prec@5 61.719 (64.502)
Epoch: [15][880/14090]	Time 0.742 (0.768)	Data 0.001 (0.005)	Loss 2.7742 (2.7635)	Prec@1 36.719 (34.265)	Prec@5 64.062 (64.492)
Epoch: [15][890/14090]	Time 0.735 (0.768)	Data 0.001 (0.005)	Loss 2.6163 (2.7641)	Prec@1 32.031 (34.258)	Prec@5 71.094 (64.496)
Epoch: [15][900/14090]	Time 0.773 (0.768)	Data 0.001 (0.005)	Loss 2.6634 (2.7643)	Prec@1 38.281 (34.268)	Prec@5 64.844 (64.498)
Epoch: [15][910/14090]	Time 0.757 (0.768)	Data 0.001 (0.005)	Loss 2.6453 (2.7643)	Prec@1 34.375 (34.273)	Prec@5 65.625 (64.490)
Epoch: [15][920/14090]	Time 0.745 (0.768)	Data 0.001 (0.005)	Loss 2.9102 (2.7642)	Prec@1 32.812 (34.284)	Prec@5 61.719 (64.484)
Epoch: [15][930/14090]	Time 0.860 (0.768)	Data 0.001 (0.005)	Loss 2.9663 (2.7642)	Prec@1 28.906 (34.295)	Prec@5 57.812 (64.475)
Epoch: [15][940/14090]	Time 0.760 (0.768)	Data 0.001 (0.005)	Loss 2.8981 (2.7641)	Prec@1 35.156 (34.275)	Prec@5 60.938 (64.480)
Epoch: [15][950/14090]	Time 0.763 (0.768)	Data 0.001 (0.005)	Loss 2.7084 (2.7634)	Prec@1 34.375 (34.263)	Prec@5 61.719 (64.481)
Epoch: [15][960/14090]	Time 0.766 (0.768)	Data 0.001 (0.005)	Loss 2.5942 (2.7631)	Prec@1 39.062 (34.283)	Prec@5 71.094 (64.499)
Epoch: [15][970/14090]	Time 0.783 (0.768)	Data 0.001 (0.005)	Loss 2.8586 (2.7639)	Prec@1 32.812 (34.257)	Prec@5 63.281 (64.489)
Epoch: [15][980/14090]	Time 0.745 (0.768)	Data 0.001 (0.005)	Loss 2.6995 (2.7639)	Prec@1 32.031 (34.271)	Prec@5 63.281 (64.475)
Epoch: [15][990/14090]	Time 0.736 (0.768)	Data 0.001 (0.005)	Loss 2.6098 (2.7638)	Prec@1 39.844 (34.264)	Prec@5 66.406 (64.479)
Epoch: [15][1000/14090]	Time 0.872 (0.768)	Data 0.001 (0.005)	Loss 2.7716 (2.7644)	Prec@1 37.500 (34.268)	Prec@5 63.281 (64.478)
Epoch: [15][1010/14090]	Time 0.719 (0.768)	Data 0.001 (0.005)	Loss 2.8504 (2.7641)	Prec@1 28.906 (34.262)	Prec@5 62.500 (64.491)
Epoch: [15][1020/14090]	Time 0.768 (0.768)	Data 0.001 (0.005)	Loss 2.6376 (2.7634)	Prec@1 35.156 (34.266)	Prec@5 66.406 (64.500)
Epoch: [15][1030/14090]	Time 0.792 (0.768)	Data 0.001 (0.005)	Loss 2.5171 (2.7622)	Prec@1 39.844 (34.300)	Prec@5 68.750 (64.510)
Epoch: [15][1040/14090]	Time 0.769 (0.768)	Data 0.001 (0.005)	Loss 2.6966 (2.7616)	Prec@1 36.719 (34.314)	Prec@5 62.500 (64.523)
Epoch: [15][1050/14090]	Time 0.776 (0.768)	Data 0.001 (0.005)	Loss 2.6304 (2.7621)	Prec@1 35.156 (34.307)	Prec@5 67.969 (64.518)
Epoch: [15][1060/14090]	Time 0.739 (0.768)	Data 0.001 (0.005)	Loss 2.4856 (2.7616)	Prec@1 40.625 (34.314)	Prec@5 71.094 (64.523)
Epoch: [15][1070/14090]	Time 0.934 (0.768)	Data 0.001 (0.004)	Loss 2.9521 (2.7624)	Prec@1 26.562 (34.290)	Prec@5 64.844 (64.515)
Epoch: [15][1080/14090]	Time 0.723 (0.768)	Data 0.001 (0.004)	Loss 2.7364 (2.7626)	Prec@1 32.031 (34.282)	Prec@5 64.062 (64.511)
Epoch: [15][1090/14090]	Time 0.754 (0.768)	Data 0.001 (0.004)	Loss 3.0208 (2.7630)	Prec@1 28.125 (34.275)	Prec@5 57.031 (64.496)
Epoch: [15][1100/14090]	Time 0.748 (0.768)	Data 0.001 (0.004)	Loss 2.9226 (2.7628)	Prec@1 27.344 (34.283)	Prec@5 61.719 (64.499)
Epoch: [15][1110/14090]	Time 0.745 (0.767)	Data 0.001 (0.004)	Loss 2.6015 (2.7632)	Prec@1 36.719 (34.276)	Prec@5 65.625 (64.492)
Epoch: [15][1120/14090]	Time 0.727 (0.768)	Data 0.001 (0.004)	Loss 2.7438 (2.7640)	Prec@1 36.719 (34.259)	Prec@5 64.844 (64.474)
Epoch: [15][1130/14090]	Time 0.730 (0.767)	Data 0.001 (0.004)	Loss 2.6069 (2.7635)	Prec@1 36.719 (34.267)	Prec@5 64.062 (64.485)
Epoch: [15][1140/14090]	Time 0.845 (0.768)	Data 0.001 (0.004)	Loss 2.5824 (2.7625)	Prec@1 35.938 (34.270)	Prec@5 71.094 (64.518)
Epoch: [15][1150/14090]	Time 0.759 (0.767)	Data 0.001 (0.004)	Loss 3.1086 (2.7632)	Prec@1 33.594 (34.265)	Prec@5 61.719 (64.498)
Epoch: [15][1160/14090]	Time 0.727 (0.767)	Data 0.001 (0.004)	Loss 2.7812 (2.7637)	Prec@1 36.719 (34.247)	Prec@5 66.406 (64.499)
Epoch: [15][1170/14090]	Time 0.773 (0.767)	Data 0.001 (0.004)	Loss 2.6446 (2.7635)	Prec@1 36.719 (34.262)	Prec@5 66.406 (64.494)
Epoch: [15][1180/14090]	Time 0.739 (0.767)	Data 0.001 (0.004)	Loss 2.8702 (2.7636)	Prec@1 28.906 (34.251)	Prec@5 67.188 (64.494)
Epoch: [15][1190/14090]	Time 0.755 (0.767)	Data 0.002 (0.004)	Loss 2.6830 (2.7635)	Prec@1 39.844 (34.256)	Prec@5 63.281 (64.493)
Epoch: [15][1200/14090]	Time 0.752 (0.767)	Data 0.001 (0.004)	Loss 2.8021 (2.7639)	Prec@1 32.031 (34.244)	Prec@5 62.500 (64.479)
Epoch: [15][1210/14090]	Time 0.868 (0.767)	Data 0.001 (0.004)	Loss 2.5831 (2.7638)	Prec@1 34.375 (34.228)	Prec@5 64.844 (64.481)
Epoch: [15][1220/14090]	Time 0.742 (0.767)	Data 0.001 (0.004)	Loss 2.9121 (2.7641)	Prec@1 28.906 (34.235)	Prec@5 64.062 (64.480)
Epoch: [15][1230/14090]	Time 0.730 (0.767)	Data 0.001 (0.004)	Loss 2.6530 (2.7646)	Prec@1 40.625 (34.228)	Prec@5 64.062 (64.462)
Epoch: [15][1240/14090]	Time 0.725 (0.767)	Data 0.001 (0.004)	Loss 2.8539 (2.7653)	Prec@1 35.938 (34.218)	Prec@5 59.375 (64.448)
Epoch: [15][1250/14090]	Time 0.725 (0.767)	Data 0.001 (0.004)	Loss 2.6862 (2.7647)	Prec@1 30.469 (34.210)	Prec@5 67.188 (64.457)
Epoch: [15][1260/14090]	Time 0.726 (0.767)	Data 0.001 (0.004)	Loss 2.6984 (2.7646)	Prec@1 35.156 (34.219)	Prec@5 68.750 (64.466)
Epoch: [15][1270/14090]	Time 0.750 (0.767)	Data 0.001 (0.004)	Loss 2.7182 (2.7645)	Prec@1 35.938 (34.219)	Prec@5 68.750 (64.470)
Epoch: [15][1280/14090]	Time 0.854 (0.767)	Data 0.001 (0.004)	Loss 2.7398 (2.7648)	Prec@1 38.281 (34.209)	Prec@5 65.625 (64.471)
Epoch: [15][1290/14090]	Time 0.727 (0.767)	Data 0.001 (0.004)	Loss 3.0277 (2.7650)	Prec@1 32.031 (34.213)	Prec@5 58.594 (64.464)
Epoch: [15][1300/14090]	Time 0.754 (0.767)	Data 0.001 (0.004)	Loss 2.7911 (2.7649)	Prec@1 36.719 (34.231)	Prec@5 60.938 (64.465)
Epoch: [15][1310/14090]	Time 0.787 (0.767)	Data 0.001 (0.004)	Loss 2.8570 (2.7651)	Prec@1 29.688 (34.223)	Prec@5 63.281 (64.456)
Epoch: [15][1320/14090]	Time 0.761 (0.767)	Data 0.001 (0.004)	Loss 2.9961 (2.7661)	Prec@1 33.594 (34.215)	Prec@5 60.938 (64.443)
Epoch: [15][1330/14090]	Time 0.764 (0.767)	Data 0.001 (0.004)	Loss 2.6600 (2.7659)	Prec@1 32.031 (34.210)	Prec@5 66.406 (64.448)
Epoch: [15][1340/14090]	Time 0.750 (0.767)	Data 0.001 (0.004)	Loss 2.8160 (2.7655)	Prec@1 32.812 (34.227)	Prec@5 60.938 (64.452)
Epoch: [15][1350/14090]	Time 0.886 (0.767)	Data 0.001 (0.004)	Loss 2.5562 (2.7650)	Prec@1 39.844 (34.243)	Prec@5 69.531 (64.456)
Epoch: [15][1360/14090]	Time 0.727 (0.767)	Data 0.001 (0.004)	Loss 2.7098 (2.7650)	Prec@1 33.594 (34.243)	Prec@5 64.062 (64.453)
Epoch: [15][1370/14090]	Time 0.727 (0.767)	Data 0.001 (0.004)	Loss 3.1163 (2.7651)	Prec@1 28.906 (34.240)	Prec@5 53.906 (64.438)
Epoch: [15][1380/14090]	Time 0.726 (0.767)	Data 0.001 (0.004)	Loss 2.8595 (2.7649)	Prec@1 30.469 (34.236)	Prec@5 60.156 (64.438)
Epoch: [15][1390/14090]	Time 0.740 (0.767)	Data 0.001 (0.004)	Loss 3.1911 (2.7651)	Prec@1 25.000 (34.232)	Prec@5 55.469 (64.442)
Epoch: [15][1400/14090]	Time 0.722 (0.767)	Data 0.001 (0.004)	Loss 2.5397 (2.7652)	Prec@1 36.719 (34.222)	Prec@5 67.188 (64.447)
Epoch: [15][1410/14090]	Time 0.736 (0.767)	Data 0.001 (0.004)	Loss 2.7014 (2.7644)	Prec@1 35.938 (34.239)	Prec@5 67.188 (64.466)
Epoch: [15][1420/14090]	Time 0.887 (0.767)	Data 0.001 (0.004)	Loss 2.6326 (2.7645)	Prec@1 32.812 (34.232)	Prec@5 67.188 (64.464)
Epoch: [15][1430/14090]	Time 0.729 (0.767)	Data 0.001 (0.004)	Loss 2.9584 (2.7647)	Prec@1 28.906 (34.218)	Prec@5 62.500 (64.471)
Epoch: [15][1440/14090]	Time 0.737 (0.767)	Data 0.001 (0.004)	Loss 3.0245 (2.7640)	Prec@1 30.469 (34.235)	Prec@5 62.500 (64.493)
Epoch: [15][1450/14090]	Time 0.729 (0.767)	Data 0.001 (0.004)	Loss 2.6668 (2.7640)	Prec@1 38.281 (34.241)	Prec@5 63.281 (64.495)
Epoch: [15][1460/14090]	Time 0.747 (0.767)	Data 0.001 (0.004)	Loss 2.6466 (2.7638)	Prec@1 37.500 (34.247)	Prec@5 64.844 (64.497)
Epoch: [15][1470/14090]	Time 0.749 (0.767)	Data 0.001 (0.003)	Loss 2.2920 (2.7636)	Prec@1 40.625 (34.245)	Prec@5 76.562 (64.495)
Epoch: [15][1480/14090]	Time 0.754 (0.767)	Data 0.001 (0.003)	Loss 2.8389 (2.7631)	Prec@1 38.281 (34.259)	Prec@5 60.938 (64.501)
Epoch: [15][1490/14090]	Time 0.905 (0.767)	Data 0.001 (0.003)	Loss 2.7297 (2.7633)	Prec@1 32.031 (34.249)	Prec@5 67.188 (64.501)
Epoch: [15][1500/14090]	Time 0.725 (0.767)	Data 0.001 (0.003)	Loss 2.7357 (2.7632)	Prec@1 40.625 (34.253)	Prec@5 68.750 (64.511)
Epoch: [15][1510/14090]	Time 0.772 (0.767)	Data 0.001 (0.003)	Loss 2.5299 (2.7629)	Prec@1 36.719 (34.248)	Prec@5 67.969 (64.511)
Epoch: [15][1520/14090]	Time 0.768 (0.767)	Data 0.001 (0.003)	Loss 2.7915 (2.7633)	Prec@1 32.031 (34.229)	Prec@5 65.625 (64.504)
Epoch: [15][1530/14090]	Time 0.782 (0.767)	Data 0.001 (0.003)	Loss 2.7112 (2.7633)	Prec@1 35.156 (34.220)	Prec@5 65.625 (64.498)
Epoch: [15][1540/14090]	Time 0.756 (0.767)	Data 0.001 (0.003)	Loss 3.0092 (2.7638)	Prec@1 28.125 (34.207)	Prec@5 62.500 (64.483)
Epoch: [15][1550/14090]	Time 0.723 (0.767)	Data 0.001 (0.003)	Loss 2.5985 (2.7642)	Prec@1 38.281 (34.201)	Prec@5 65.625 (64.467)
Epoch: [15][1560/14090]	Time 0.859 (0.767)	Data 0.001 (0.003)	Loss 3.0866 (2.7639)	Prec@1 32.031 (34.220)	Prec@5 60.938 (64.479)
Epoch: [15][1570/14090]	Time 0.747 (0.767)	Data 0.001 (0.003)	Loss 2.9931 (2.7640)	Prec@1 27.344 (34.208)	Prec@5 60.938 (64.473)
Epoch: [15][1580/14090]	Time 0.750 (0.767)	Data 0.001 (0.003)	Loss 3.0513 (2.7646)	Prec@1 26.562 (34.190)	Prec@5 59.375 (64.465)
Epoch: [15][1590/14090]	Time 0.753 (0.767)	Data 0.001 (0.003)	Loss 2.5607 (2.7641)	Prec@1 42.188 (34.199)	Prec@5 70.312 (64.469)
Epoch: [15][1600/14090]	Time 0.753 (0.767)	Data 0.001 (0.003)	Loss 2.7800 (2.7638)	Prec@1 37.500 (34.203)	Prec@5 62.500 (64.477)
Epoch: [15][1610/14090]	Time 0.747 (0.767)	Data 0.001 (0.003)	Loss 2.3710 (2.7637)	Prec@1 37.500 (34.197)	Prec@5 70.312 (64.479)
Epoch: [15][1620/14090]	Time 0.727 (0.767)	Data 0.001 (0.003)	Loss 2.9175 (2.7638)	Prec@1 31.250 (34.200)	Prec@5 60.938 (64.476)
Epoch: [15][1630/14090]	Time 0.863 (0.767)	Data 0.001 (0.003)	Loss 2.6380 (2.7636)	Prec@1 34.375 (34.208)	Prec@5 67.188 (64.481)
Epoch: [15][1640/14090]	Time 0.752 (0.767)	Data 0.001 (0.003)	Loss 2.8743 (2.7637)	Prec@1 35.938 (34.206)	Prec@5 60.156 (64.475)
Epoch: [15][1650/14090]	Time 0.758 (0.767)	Data 0.001 (0.003)	Loss 2.8401 (2.7641)	Prec@1 35.938 (34.202)	Prec@5 64.062 (64.468)
Epoch: [15][1660/14090]	Time 0.740 (0.767)	Data 0.003 (0.003)	Loss 2.8998 (2.7641)	Prec@1 31.250 (34.203)	Prec@5 60.938 (64.469)
Epoch: [15][1670/14090]	Time 0.741 (0.767)	Data 0.001 (0.003)	Loss 2.7363 (2.7645)	Prec@1 32.031 (34.189)	Prec@5 61.719 (64.459)
Epoch: [15][1680/14090]	Time 0.751 (0.767)	Data 0.001 (0.003)	Loss 2.8869 (2.7650)	Prec@1 30.469 (34.174)	Prec@5 57.812 (64.456)
Epoch: [15][1690/14090]	Time 0.737 (0.767)	Data 0.001 (0.003)	Loss 2.7895 (2.7652)	Prec@1 26.562 (34.163)	Prec@5 58.594 (64.446)
Epoch: [15][1700/14090]	Time 0.861 (0.767)	Data 0.001 (0.003)	Loss 3.1334 (2.7657)	Prec@1 28.906 (34.159)	Prec@5 58.594 (64.441)
Epoch: [15][1710/14090]	Time 0.742 (0.767)	Data 0.001 (0.003)	Loss 3.1802 (2.7658)	Prec@1 32.031 (34.159)	Prec@5 57.031 (64.439)
Epoch: [15][1720/14090]	Time 0.764 (0.767)	Data 0.001 (0.003)	Loss 2.6795 (2.7658)	Prec@1 33.594 (34.154)	Prec@5 70.312 (64.439)
Epoch: [15][1730/14090]	Time 0.730 (0.767)	Data 0.001 (0.003)	Loss 2.7995 (2.7656)	Prec@1 32.812 (34.164)	Prec@5 64.062 (64.443)
Epoch: [15][1740/14090]	Time 0.762 (0.767)	Data 0.001 (0.003)	Loss 2.5911 (2.7653)	Prec@1 38.281 (34.169)	Prec@5 70.312 (64.446)
Epoch: [15][1750/14090]	Time 0.743 (0.767)	Data 0.001 (0.003)	Loss 2.7258 (2.7655)	Prec@1 37.500 (34.168)	Prec@5 61.719 (64.449)
Epoch: [15][1760/14090]	Time 0.757 (0.767)	Data 0.001 (0.003)	Loss 2.5451 (2.7655)	Prec@1 38.281 (34.169)	Prec@5 67.969 (64.448)
Epoch: [15][1770/14090]	Time 0.921 (0.767)	Data 0.001 (0.003)	Loss 2.8034 (2.7654)	Prec@1 35.156 (34.171)	Prec@5 65.625 (64.445)
Epoch: [15][1780/14090]	Time 0.744 (0.767)	Data 0.001 (0.003)	Loss 2.8869 (2.7654)	Prec@1 30.469 (34.166)	Prec@5 56.250 (64.441)
Epoch: [15][1790/14090]	Time 0.799 (0.767)	Data 0.001 (0.003)	Loss 2.6888 (2.7659)	Prec@1 35.938 (34.156)	Prec@5 64.844 (64.429)
Epoch: [15][1800/14090]	Time 0.738 (0.767)	Data 0.001 (0.003)	Loss 2.6233 (2.7654)	Prec@1 35.156 (34.156)	Prec@5 69.531 (64.441)
Epoch: [15][1810/14090]	Time 0.741 (0.767)	Data 0.001 (0.003)	Loss 2.9260 (2.7651)	Prec@1 33.594 (34.168)	Prec@5 61.719 (64.447)
Epoch: [15][1820/14090]	Time 0.761 (0.767)	Data 0.001 (0.003)	Loss 2.9036 (2.7652)	Prec@1 30.469 (34.169)	Prec@5 63.281 (64.443)
Epoch: [15][1830/14090]	Time 0.756 (0.767)	Data 0.001 (0.003)	Loss 2.6192 (2.7653)	Prec@1 37.500 (34.171)	Prec@5 67.188 (64.439)
Epoch: [15][1840/14090]	Time 0.868 (0.767)	Data 0.001 (0.003)	Loss 2.6461 (2.7655)	Prec@1 39.844 (34.162)	Prec@5 70.312 (64.436)
Epoch: [15][1850/14090]	Time 0.739 (0.767)	Data 0.001 (0.003)	Loss 3.0739 (2.7659)	Prec@1 31.250 (34.160)	Prec@5 60.156 (64.433)
Epoch: [15][1860/14090]	Time 0.736 (0.767)	Data 0.002 (0.003)	Loss 2.7694 (2.7657)	Prec@1 33.594 (34.155)	Prec@5 66.406 (64.439)
Epoch: [15][1870/14090]	Time 0.785 (0.767)	Data 0.001 (0.003)	Loss 2.7378 (2.7659)	Prec@1 33.594 (34.157)	Prec@5 68.750 (64.433)
Epoch: [15][1880/14090]	Time 0.753 (0.767)	Data 0.001 (0.003)	Loss 2.9013 (2.7658)	Prec@1 28.125 (34.163)	Prec@5 59.375 (64.440)
Epoch: [15][1890/14090]	Time 0.767 (0.767)	Data 0.001 (0.003)	Loss 2.7562 (2.7658)	Prec@1 32.031 (34.154)	Prec@5 64.844 (64.441)
Epoch: [15][1900/14090]	Time 0.764 (0.767)	Data 0.001 (0.003)	Loss 2.9008 (2.7661)	Prec@1 33.594 (34.150)	Prec@5 63.281 (64.432)
Epoch: [15][1910/14090]	Time 0.898 (0.767)	Data 0.001 (0.003)	Loss 3.0715 (2.7662)	Prec@1 28.906 (34.156)	Prec@5 60.156 (64.433)
Epoch: [15][1920/14090]	Time 0.751 (0.767)	Data 0.001 (0.003)	Loss 2.7897 (2.7663)	Prec@1 30.469 (34.148)	Prec@5 65.625 (64.438)
Epoch: [15][1930/14090]	Time 0.760 (0.767)	Data 0.001 (0.003)	Loss 2.8373 (2.7661)	Prec@1 32.031 (34.152)	Prec@5 64.844 (64.453)
Epoch: [15][1940/14090]	Time 0.757 (0.767)	Data 0.001 (0.003)	Loss 2.6314 (2.7663)	Prec@1 42.969 (34.148)	Prec@5 64.062 (64.440)
Epoch: [15][1950/14090]	Time 0.730 (0.767)	Data 0.001 (0.003)	Loss 2.8624 (2.7664)	Prec@1 30.469 (34.141)	Prec@5 59.375 (64.435)
Epoch: [15][1960/14090]	Time 0.737 (0.767)	Data 0.001 (0.003)	Loss 2.7350 (2.7664)	Prec@1 35.938 (34.140)	Prec@5 65.625 (64.432)
Epoch: [15][1970/14090]	Time 0.757 (0.767)	Data 0.001 (0.003)	Loss 2.6319 (2.7663)	Prec@1 35.938 (34.141)	Prec@5 66.406 (64.437)
Epoch: [15][1980/14090]	Time 0.873 (0.767)	Data 0.001 (0.003)	Loss 2.9191 (2.7662)	Prec@1 29.688 (34.144)	Prec@5 60.156 (64.443)
Epoch: [15][1990/14090]	Time 0.738 (0.767)	Data 0.001 (0.003)	Loss 2.9516 (2.7664)	Prec@1 27.344 (34.146)	Prec@5 58.594 (64.443)
Epoch: [15][2000/14090]	Time 0.727 (0.767)	Data 0.001 (0.003)	Loss 2.8676 (2.7668)	Prec@1 28.906 (34.131)	Prec@5 63.281 (64.436)
Epoch: [15][2010/14090]	Time 0.743 (0.767)	Data 0.001 (0.003)	Loss 2.9108 (2.7670)	Prec@1 30.469 (34.125)	Prec@5 63.281 (64.440)
Epoch: [15][2020/14090]	Time 0.725 (0.767)	Data 0.001 (0.003)	Loss 2.6414 (2.7668)	Prec@1 29.688 (34.133)	Prec@5 66.406 (64.442)
Epoch: [15][2030/14090]	Time 0.755 (0.767)	Data 0.001 (0.003)	Loss 2.8632 (2.7668)	Prec@1 28.125 (34.128)	Prec@5 69.531 (64.446)
Epoch: [15][2040/14090]	Time 0.756 (0.767)	Data 0.001 (0.003)	Loss 2.9675 (2.7668)	Prec@1 26.562 (34.118)	Prec@5 65.625 (64.452)
Epoch: [15][2050/14090]	Time 0.891 (0.767)	Data 0.001 (0.003)	Loss 2.6125 (2.7667)	Prec@1 33.594 (34.122)	Prec@5 70.312 (64.458)
Epoch: [15][2060/14090]	Time 0.720 (0.767)	Data 0.001 (0.003)	Loss 2.6617 (2.7670)	Prec@1 39.844 (34.121)	Prec@5 67.969 (64.450)
Epoch: [15][2070/14090]	Time 0.760 (0.767)	Data 0.001 (0.003)	Loss 2.9786 (2.7667)	Prec@1 37.500 (34.132)	Prec@5 61.719 (64.459)
Epoch: [15][2080/14090]	Time 0.737 (0.767)	Data 0.001 (0.003)	Loss 2.5843 (2.7665)	Prec@1 33.594 (34.130)	Prec@5 67.188 (64.461)
Epoch: [15][2090/14090]	Time 0.731 (0.767)	Data 0.001 (0.003)	Loss 3.0149 (2.7667)	Prec@1 32.031 (34.134)	Prec@5 64.844 (64.458)
Epoch: [15][2100/14090]	Time 0.757 (0.767)	Data 0.001 (0.003)	Loss 2.9202 (2.7670)	Prec@1 36.719 (34.127)	Prec@5 60.156 (64.453)
Epoch: [15][2110/14090]	Time 0.751 (0.767)	Data 0.001 (0.003)	Loss 2.7221 (2.7671)	Prec@1 35.156 (34.125)	Prec@5 66.406 (64.454)
Epoch: [15][2120/14090]	Time 0.874 (0.767)	Data 0.001 (0.003)	Loss 2.7199 (2.7673)	Prec@1 35.156 (34.118)	Prec@5 69.531 (64.450)
Epoch: [15][2130/14090]	Time 0.732 (0.767)	Data 0.001 (0.003)	Loss 2.8743 (2.7673)	Prec@1 30.469 (34.121)	Prec@5 63.281 (64.457)
Epoch: [15][2140/14090]	Time 0.729 (0.767)	Data 0.001 (0.003)	Loss 2.8892 (2.7674)	Prec@1 30.469 (34.112)	Prec@5 60.938 (64.458)
Epoch: [15][2150/14090]	Time 0.753 (0.767)	Data 0.001 (0.003)	Loss 2.8052 (2.7671)	Prec@1 36.719 (34.115)	Prec@5 60.156 (64.463)
Epoch: [15][2160/14090]	Time 0.739 (0.767)	Data 0.001 (0.003)	Loss 2.8044 (2.7670)	Prec@1 31.250 (34.116)	Prec@5 62.500 (64.461)
Epoch: [15][2170/14090]	Time 0.753 (0.767)	Data 0.001 (0.003)	Loss 2.7369 (2.7668)	Prec@1 39.844 (34.119)	Prec@5 60.938 (64.462)
Epoch: [15][2180/14090]	Time 0.733 (0.767)	Data 0.001 (0.003)	Loss 2.7181 (2.7665)	Prec@1 35.938 (34.126)	Prec@5 67.188 (64.471)
Epoch: [15][2190/14090]	Time 0.873 (0.767)	Data 0.001 (0.003)	Loss 2.9549 (2.7668)	Prec@1 35.938 (34.120)	Prec@5 60.938 (64.462)
Epoch: [15][2200/14090]	Time 0.753 (0.766)	Data 0.001 (0.003)	Loss 2.7229 (2.7668)	Prec@1 31.250 (34.112)	Prec@5 69.531 (64.472)
Epoch: [15][2210/14090]	Time 0.730 (0.766)	Data 0.001 (0.003)	Loss 2.8865 (2.7669)	Prec@1 28.906 (34.113)	Prec@5 64.844 (64.469)
Epoch: [15][2220/14090]	Time 0.737 (0.766)	Data 0.001 (0.003)	Loss 2.9115 (2.7670)	Prec@1 30.469 (34.110)	Prec@5 57.031 (64.462)
Epoch: [15][2230/14090]	Time 0.729 (0.766)	Data 0.001 (0.003)	Loss 2.8960 (2.7666)	Prec@1 25.781 (34.110)	Prec@5 59.375 (64.463)
Epoch: [15][2240/14090]	Time 0.743 (0.766)	Data 0.001 (0.003)	Loss 2.6702 (2.7663)	Prec@1 37.500 (34.123)	Prec@5 66.406 (64.464)
Epoch: [15][2250/14090]	Time 0.759 (0.766)	Data 0.001 (0.003)	Loss 3.1117 (2.7665)	Prec@1 28.125 (34.118)	Prec@5 57.812 (64.465)
Epoch: [15][2260/14090]	Time 0.865 (0.766)	Data 0.001 (0.003)	Loss 2.7927 (2.7668)	Prec@1 28.906 (34.111)	Prec@5 63.281 (64.456)
Epoch: [15][2270/14090]	Time 0.758 (0.766)	Data 0.001 (0.003)	Loss 2.6907 (2.7667)	Prec@1 35.156 (34.111)	Prec@5 61.719 (64.451)
Epoch: [15][2280/14090]	Time 0.770 (0.766)	Data 0.001 (0.003)	Loss 2.7549 (2.7665)	Prec@1 32.812 (34.114)	Prec@5 64.844 (64.456)
Epoch: [15][2290/14090]	Time 0.730 (0.766)	Data 0.001 (0.003)	Loss 2.5168 (2.7665)	Prec@1 42.188 (34.118)	Prec@5 71.094 (64.456)
Epoch: [15][2300/14090]	Time 0.752 (0.766)	Data 0.001 (0.003)	Loss 2.7799 (2.7666)	Prec@1 34.375 (34.120)	Prec@5 64.062 (64.450)
Epoch: [15][2310/14090]	Time 0.756 (0.766)	Data 0.001 (0.003)	Loss 2.8376 (2.7668)	Prec@1 30.469 (34.115)	Prec@5 65.625 (64.449)
Epoch: [15][2320/14090]	Time 0.729 (0.766)	Data 0.001 (0.003)	Loss 2.6350 (2.7666)	Prec@1 36.719 (34.112)	Prec@5 71.094 (64.449)
Epoch: [15][2330/14090]	Time 0.877 (0.766)	Data 0.001 (0.003)	Loss 2.4808 (2.7663)	Prec@1 41.406 (34.121)	Prec@5 68.750 (64.453)
Epoch: [15][2340/14090]	Time 0.742 (0.766)	Data 0.001 (0.003)	Loss 2.8498 (2.7664)	Prec@1 28.906 (34.122)	Prec@5 58.594 (64.447)
Epoch: [15][2350/14090]	Time 0.743 (0.766)	Data 0.001 (0.003)	Loss 2.5200 (2.7662)	Prec@1 40.625 (34.124)	Prec@5 71.875 (64.449)
Epoch: [15][2360/14090]	Time 0.745 (0.766)	Data 0.001 (0.003)	Loss 2.9345 (2.7662)	Prec@1 29.688 (34.120)	Prec@5 64.062 (64.452)
Epoch: [15][2370/14090]	Time 0.733 (0.766)	Data 0.001 (0.003)	Loss 2.5083 (2.7662)	Prec@1 36.719 (34.118)	Prec@5 71.875 (64.448)
Epoch: [15][2380/14090]	Time 0.740 (0.766)	Data 0.001 (0.003)	Loss 2.6920 (2.7663)	Prec@1 38.281 (34.119)	Prec@5 67.969 (64.450)
Epoch: [15][2390/14090]	Time 0.754 (0.766)	Data 0.001 (0.003)	Loss 3.1051 (2.7665)	Prec@1 28.906 (34.115)	Prec@5 57.812 (64.454)
Epoch: [15][2400/14090]	Time 0.871 (0.766)	Data 0.001 (0.002)	Loss 2.9039 (2.7666)	Prec@1 36.719 (34.109)	Prec@5 59.375 (64.453)
Epoch: [15][2410/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 2.6284 (2.7665)	Prec@1 34.375 (34.109)	Prec@5 67.188 (64.450)
Epoch: [15][2420/14090]	Time 0.763 (0.766)	Data 0.001 (0.002)	Loss 2.6417 (2.7665)	Prec@1 38.281 (34.115)	Prec@5 64.062 (64.447)
Epoch: [15][2430/14090]	Time 0.779 (0.766)	Data 0.001 (0.002)	Loss 2.7434 (2.7662)	Prec@1 34.375 (34.120)	Prec@5 64.062 (64.453)
Epoch: [15][2440/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 2.5200 (2.7660)	Prec@1 33.594 (34.122)	Prec@5 71.094 (64.458)
Epoch: [15][2450/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.7911 (2.7654)	Prec@1 35.156 (34.132)	Prec@5 61.719 (64.474)
Epoch: [15][2460/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 2.4539 (2.7654)	Prec@1 42.969 (34.130)	Prec@5 73.438 (64.477)
Epoch: [15][2470/14090]	Time 0.865 (0.766)	Data 0.001 (0.002)	Loss 2.6689 (2.7657)	Prec@1 32.812 (34.121)	Prec@5 70.312 (64.471)
Epoch: [15][2480/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.6841 (2.7656)	Prec@1 33.594 (34.125)	Prec@5 65.625 (64.471)
Epoch: [15][2490/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 2.6433 (2.7656)	Prec@1 31.250 (34.123)	Prec@5 62.500 (64.475)
Epoch: [15][2500/14090]	Time 0.768 (0.766)	Data 0.001 (0.002)	Loss 2.8370 (2.7656)	Prec@1 35.938 (34.132)	Prec@5 58.594 (64.473)
Epoch: [15][2510/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.5544 (2.7655)	Prec@1 38.281 (34.136)	Prec@5 67.969 (64.477)
Epoch: [15][2520/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.5803 (2.7658)	Prec@1 38.281 (34.136)	Prec@5 68.750 (64.472)
Epoch: [15][2530/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 2.7433 (2.7659)	Prec@1 35.156 (34.126)	Prec@5 67.969 (64.464)
Epoch: [15][2540/14090]	Time 0.906 (0.766)	Data 0.001 (0.002)	Loss 2.7885 (2.7661)	Prec@1 44.531 (34.123)	Prec@5 67.969 (64.460)
Epoch: [15][2550/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 2.5142 (2.7657)	Prec@1 41.406 (34.133)	Prec@5 68.750 (64.472)
Epoch: [15][2560/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 2.7818 (2.7657)	Prec@1 30.469 (34.138)	Prec@5 63.281 (64.471)
Epoch: [15][2570/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 2.8806 (2.7657)	Prec@1 27.344 (34.131)	Prec@5 58.594 (64.473)
Epoch: [15][2580/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.5677 (2.7661)	Prec@1 35.938 (34.126)	Prec@5 67.188 (64.468)
Epoch: [15][2590/14090]	Time 0.781 (0.766)	Data 0.001 (0.002)	Loss 2.8776 (2.7664)	Prec@1 32.812 (34.123)	Prec@5 60.938 (64.463)
Epoch: [15][2600/14090]	Time 0.724 (0.766)	Data 0.001 (0.002)	Loss 2.7725 (2.7667)	Prec@1 30.469 (34.116)	Prec@5 64.844 (64.455)
Epoch: [15][2610/14090]	Time 0.889 (0.766)	Data 0.001 (0.002)	Loss 2.9747 (2.7667)	Prec@1 30.469 (34.119)	Prec@5 65.625 (64.455)
Epoch: [15][2620/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 2.8815 (2.7667)	Prec@1 35.938 (34.119)	Prec@5 59.375 (64.456)
Epoch: [15][2630/14090]	Time 0.768 (0.766)	Data 0.001 (0.002)	Loss 2.9237 (2.7670)	Prec@1 26.562 (34.110)	Prec@5 64.062 (64.452)
Epoch: [15][2640/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 2.6252 (2.7672)	Prec@1 39.844 (34.113)	Prec@5 67.969 (64.449)
Epoch: [15][2650/14090]	Time 0.764 (0.766)	Data 0.001 (0.002)	Loss 2.7979 (2.7670)	Prec@1 33.594 (34.122)	Prec@5 61.719 (64.452)
Epoch: [15][2660/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 2.6727 (2.7671)	Prec@1 39.062 (34.121)	Prec@5 67.969 (64.451)
Epoch: [15][2670/14090]	Time 0.788 (0.766)	Data 0.001 (0.002)	Loss 2.4113 (2.7671)	Prec@1 43.750 (34.114)	Prec@5 73.438 (64.456)
Epoch: [15][2680/14090]	Time 0.868 (0.766)	Data 0.001 (0.002)	Loss 2.7516 (2.7668)	Prec@1 35.938 (34.117)	Prec@5 63.281 (64.460)
Epoch: [15][2690/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 2.7510 (2.7667)	Prec@1 34.375 (34.116)	Prec@5 65.625 (64.465)
Epoch: [15][2700/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 2.7502 (2.7665)	Prec@1 36.719 (34.114)	Prec@5 67.188 (64.471)
Epoch: [15][2710/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 2.5761 (2.7665)	Prec@1 35.156 (34.106)	Prec@5 66.406 (64.469)
Epoch: [15][2720/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 2.8871 (2.7664)	Prec@1 31.250 (34.108)	Prec@5 61.719 (64.468)
Epoch: [15][2730/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.8416 (2.7660)	Prec@1 32.812 (34.112)	Prec@5 62.500 (64.474)
Epoch: [15][2740/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 2.5266 (2.7660)	Prec@1 39.844 (34.110)	Prec@5 69.531 (64.471)
Epoch: [15][2750/14090]	Time 0.841 (0.766)	Data 0.001 (0.002)	Loss 2.7325 (2.7662)	Prec@1 37.500 (34.109)	Prec@5 61.719 (64.467)
Epoch: [15][2760/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 2.9517 (2.7664)	Prec@1 34.375 (34.101)	Prec@5 60.156 (64.459)
Epoch: [15][2770/14090]	Time 0.763 (0.766)	Data 0.001 (0.002)	Loss 2.8791 (2.7664)	Prec@1 28.906 (34.101)	Prec@5 64.844 (64.457)
Epoch: [15][2780/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 2.7047 (2.7666)	Prec@1 37.500 (34.103)	Prec@5 64.844 (64.457)
Epoch: [15][2790/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 2.7399 (2.7664)	Prec@1 40.625 (34.105)	Prec@5 61.719 (64.459)
Epoch: [15][2800/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 3.1487 (2.7668)	Prec@1 22.656 (34.097)	Prec@5 60.156 (64.452)
Epoch: [15][2810/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 2.7973 (2.7667)	Prec@1 34.375 (34.102)	Prec@5 63.281 (64.452)
Epoch: [15][2820/14090]	Time 0.853 (0.766)	Data 0.001 (0.002)	Loss 2.5241 (2.7667)	Prec@1 35.938 (34.095)	Prec@5 68.750 (64.451)
Epoch: [15][2830/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.9004 (2.7668)	Prec@1 35.156 (34.102)	Prec@5 60.938 (64.449)
Epoch: [15][2840/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.5438 (2.7666)	Prec@1 36.719 (34.097)	Prec@5 72.656 (64.451)
Epoch: [15][2850/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 2.9104 (2.7666)	Prec@1 28.906 (34.097)	Prec@5 63.281 (64.452)
Epoch: [15][2860/14090]	Time 0.764 (0.766)	Data 0.001 (0.002)	Loss 2.7326 (2.7664)	Prec@1 37.500 (34.100)	Prec@5 63.281 (64.455)
Epoch: [15][2870/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 2.6969 (2.7663)	Prec@1 35.938 (34.099)	Prec@5 71.094 (64.459)
Epoch: [15][2880/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 3.2295 (2.7661)	Prec@1 31.250 (34.105)	Prec@5 53.125 (64.463)
Epoch: [15][2890/14090]	Time 0.846 (0.766)	Data 0.001 (0.002)	Loss 2.5278 (2.7662)	Prec@1 37.500 (34.104)	Prec@5 71.875 (64.462)
Epoch: [15][2900/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.9613 (2.7665)	Prec@1 34.375 (34.102)	Prec@5 58.594 (64.457)
Epoch: [15][2910/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 2.8897 (2.7667)	Prec@1 25.000 (34.098)	Prec@5 59.375 (64.449)
Epoch: [15][2920/14090]	Time 0.785 (0.766)	Data 0.001 (0.002)	Loss 2.6987 (2.7665)	Prec@1 35.156 (34.104)	Prec@5 66.406 (64.450)
Epoch: [15][2930/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 2.9610 (2.7667)	Prec@1 33.594 (34.095)	Prec@5 56.250 (64.446)
Epoch: [15][2940/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.9669 (2.7665)	Prec@1 31.250 (34.095)	Prec@5 60.156 (64.448)
Epoch: [15][2950/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 2.5842 (2.7664)	Prec@1 35.938 (34.089)	Prec@5 70.312 (64.455)
Epoch: [15][2960/14090]	Time 0.841 (0.766)	Data 0.001 (0.002)	Loss 2.7810 (2.7664)	Prec@1 34.375 (34.084)	Prec@5 62.500 (64.449)
Epoch: [15][2970/14090]	Time 0.754 (0.766)	Data 0.002 (0.002)	Loss 2.5184 (2.7660)	Prec@1 37.500 (34.090)	Prec@5 67.969 (64.454)
Epoch: [15][2980/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 3.1043 (2.7659)	Prec@1 25.781 (34.094)	Prec@5 58.594 (64.463)
Epoch: [15][2990/14090]	Time 0.777 (0.766)	Data 0.001 (0.002)	Loss 2.8386 (2.7659)	Prec@1 34.375 (34.095)	Prec@5 64.844 (64.471)
Epoch: [15][3000/14090]	Time 0.768 (0.766)	Data 0.001 (0.002)	Loss 3.0267 (2.7657)	Prec@1 32.812 (34.103)	Prec@5 62.500 (64.478)
Epoch: [15][3010/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.8392 (2.7656)	Prec@1 28.906 (34.100)	Prec@5 62.500 (64.478)
Epoch: [15][3020/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.4133 (2.7655)	Prec@1 42.188 (34.101)	Prec@5 71.094 (64.482)
Epoch: [15][3030/14090]	Time 0.898 (0.766)	Data 0.001 (0.002)	Loss 2.4580 (2.7653)	Prec@1 34.375 (34.095)	Prec@5 69.531 (64.487)
Epoch: [15][3040/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 2.7752 (2.7653)	Prec@1 34.375 (34.093)	Prec@5 64.062 (64.486)
Epoch: [15][3050/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.7145 (2.7654)	Prec@1 31.250 (34.089)	Prec@5 66.406 (64.488)
Epoch: [15][3060/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 2.6490 (2.7657)	Prec@1 32.812 (34.085)	Prec@5 64.844 (64.485)
Epoch: [15][3070/14090]	Time 0.783 (0.766)	Data 0.001 (0.002)	Loss 2.4528 (2.7654)	Prec@1 39.844 (34.092)	Prec@5 64.062 (64.489)
Epoch: [15][3080/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.6932 (2.7653)	Prec@1 35.938 (34.096)	Prec@5 63.281 (64.488)
Epoch: [15][3090/14090]	Time 0.763 (0.766)	Data 0.001 (0.002)	Loss 2.9631 (2.7652)	Prec@1 36.719 (34.100)	Prec@5 67.969 (64.497)
Epoch: [15][3100/14090]	Time 0.838 (0.766)	Data 0.001 (0.002)	Loss 2.8027 (2.7652)	Prec@1 33.594 (34.097)	Prec@5 63.281 (64.494)
Epoch: [15][3110/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 2.5543 (2.7652)	Prec@1 39.844 (34.099)	Prec@5 71.875 (64.498)
Epoch: [15][3120/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 2.7492 (2.7652)	Prec@1 32.812 (34.099)	Prec@5 67.969 (64.493)
Epoch: [15][3130/14090]	Time 0.787 (0.766)	Data 0.001 (0.002)	Loss 2.7083 (2.7654)	Prec@1 35.156 (34.098)	Prec@5 67.188 (64.492)
Epoch: [15][3140/14090]	Time 0.723 (0.766)	Data 0.001 (0.002)	Loss 2.7087 (2.7656)	Prec@1 37.500 (34.094)	Prec@5 65.625 (64.492)
Epoch: [15][3150/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 3.2645 (2.7655)	Prec@1 24.219 (34.090)	Prec@5 57.031 (64.493)
Epoch: [15][3160/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.9510 (2.7653)	Prec@1 25.781 (34.092)	Prec@5 64.062 (64.496)
Epoch: [15][3170/14090]	Time 0.855 (0.766)	Data 0.001 (0.002)	Loss 2.8328 (2.7651)	Prec@1 33.594 (34.097)	Prec@5 60.156 (64.495)
Epoch: [15][3180/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.6702 (2.7650)	Prec@1 35.938 (34.098)	Prec@5 64.844 (64.495)
Epoch: [15][3190/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.7377 (2.7648)	Prec@1 35.156 (34.103)	Prec@5 64.062 (64.497)
Epoch: [15][3200/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 3.0275 (2.7650)	Prec@1 32.812 (34.104)	Prec@5 56.250 (64.489)
Epoch: [15][3210/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 2.7722 (2.7652)	Prec@1 35.156 (34.097)	Prec@5 65.625 (64.491)
Epoch: [15][3220/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 2.8867 (2.7654)	Prec@1 32.812 (34.094)	Prec@5 64.844 (64.487)
Epoch: [15][3230/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 2.7315 (2.7653)	Prec@1 28.125 (34.100)	Prec@5 67.969 (64.495)
Epoch: [15][3240/14090]	Time 0.963 (0.766)	Data 0.001 (0.002)	Loss 2.9871 (2.7649)	Prec@1 32.031 (34.110)	Prec@5 59.375 (64.499)
Epoch: [15][3250/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 3.0202 (2.7649)	Prec@1 32.812 (34.111)	Prec@5 60.156 (64.503)
Epoch: [15][3260/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.6884 (2.7649)	Prec@1 38.281 (34.111)	Prec@5 64.062 (64.504)
Epoch: [15][3270/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 2.8077 (2.7651)	Prec@1 34.375 (34.109)	Prec@5 65.625 (64.498)
Epoch: [15][3280/14090]	Time 0.761 (0.766)	Data 0.002 (0.002)	Loss 2.7426 (2.7654)	Prec@1 31.250 (34.101)	Prec@5 62.500 (64.497)
Epoch: [15][3290/14090]	Time 0.769 (0.766)	Data 0.001 (0.002)	Loss 2.7031 (2.7656)	Prec@1 33.594 (34.100)	Prec@5 70.312 (64.489)
Epoch: [15][3300/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 2.9434 (2.7657)	Prec@1 28.906 (34.095)	Prec@5 54.688 (64.484)
Epoch: [15][3310/14090]	Time 0.869 (0.766)	Data 0.001 (0.002)	Loss 2.8541 (2.7658)	Prec@1 33.594 (34.095)	Prec@5 60.156 (64.483)
Epoch: [15][3320/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 2.7972 (2.7657)	Prec@1 35.156 (34.095)	Prec@5 62.500 (64.485)
Epoch: [15][3330/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 2.5798 (2.7655)	Prec@1 32.812 (34.102)	Prec@5 67.188 (64.490)
Epoch: [15][3340/14090]	Time 0.776 (0.766)	Data 0.001 (0.002)	Loss 2.7836 (2.7653)	Prec@1 30.469 (34.103)	Prec@5 64.844 (64.494)
Epoch: [15][3350/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.7960 (2.7651)	Prec@1 36.719 (34.106)	Prec@5 68.750 (64.499)
Epoch: [15][3360/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.9349 (2.7652)	Prec@1 28.125 (34.108)	Prec@5 61.719 (64.494)
Epoch: [15][3370/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 3.0220 (2.7653)	Prec@1 29.688 (34.108)	Prec@5 60.156 (64.497)
Epoch: [15][3380/14090]	Time 0.838 (0.766)	Data 0.001 (0.002)	Loss 3.3623 (2.7656)	Prec@1 21.094 (34.100)	Prec@5 51.562 (64.495)
Epoch: [15][3390/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.7173 (2.7659)	Prec@1 37.500 (34.094)	Prec@5 65.625 (64.489)
Epoch: [15][3400/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 2.6768 (2.7659)	Prec@1 33.594 (34.097)	Prec@5 69.531 (64.493)
Epoch: [15][3410/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 3.1144 (2.7659)	Prec@1 33.594 (34.097)	Prec@5 56.250 (64.493)
Epoch: [15][3420/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 2.7283 (2.7659)	Prec@1 33.594 (34.095)	Prec@5 67.969 (64.493)
Epoch: [15][3430/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.7020 (2.7658)	Prec@1 39.062 (34.093)	Prec@5 65.625 (64.496)
Epoch: [15][3440/14090]	Time 0.779 (0.766)	Data 0.001 (0.002)	Loss 2.8930 (2.7657)	Prec@1 32.812 (34.091)	Prec@5 56.250 (64.498)
Epoch: [15][3450/14090]	Time 0.812 (0.766)	Data 0.001 (0.002)	Loss 2.9536 (2.7655)	Prec@1 25.781 (34.092)	Prec@5 63.281 (64.503)
Epoch: [15][3460/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 2.6036 (2.7654)	Prec@1 38.281 (34.091)	Prec@5 68.750 (64.505)
Epoch: [15][3470/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 2.8796 (2.7653)	Prec@1 30.469 (34.090)	Prec@5 64.062 (64.510)
Epoch: [15][3480/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.8785 (2.7650)	Prec@1 31.250 (34.101)	Prec@5 64.844 (64.517)
Epoch: [15][3490/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 2.6242 (2.7651)	Prec@1 32.031 (34.098)	Prec@5 71.875 (64.515)
Epoch: [15][3500/14090]	Time 0.776 (0.766)	Data 0.001 (0.002)	Loss 2.6498 (2.7651)	Prec@1 32.031 (34.098)	Prec@5 67.969 (64.518)
Epoch: [15][3510/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.5814 (2.7652)	Prec@1 36.719 (34.097)	Prec@5 63.281 (64.517)
Epoch: [15][3520/14090]	Time 0.854 (0.766)	Data 0.001 (0.002)	Loss 2.2566 (2.7651)	Prec@1 43.750 (34.106)	Prec@5 70.312 (64.521)
Epoch: [15][3530/14090]	Time 0.768 (0.766)	Data 0.001 (0.002)	Loss 2.8317 (2.7649)	Prec@1 36.719 (34.108)	Prec@5 65.625 (64.528)
Epoch: [15][3540/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.6990 (2.7646)	Prec@1 32.812 (34.114)	Prec@5 62.500 (64.533)
Epoch: [15][3550/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 2.8420 (2.7648)	Prec@1 29.688 (34.108)	Prec@5 65.625 (64.529)
Epoch: [15][3560/14090]	Time 0.766 (0.766)	Data 0.001 (0.002)	Loss 2.7678 (2.7647)	Prec@1 37.500 (34.109)	Prec@5 65.625 (64.536)
Epoch: [15][3570/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 2.4452 (2.7647)	Prec@1 44.531 (34.107)	Prec@5 75.781 (64.533)
Epoch: [15][3580/14090]	Time 0.784 (0.766)	Data 0.001 (0.002)	Loss 2.5857 (2.7647)	Prec@1 39.062 (34.105)	Prec@5 69.531 (64.528)
Epoch: [15][3590/14090]	Time 0.854 (0.766)	Data 0.001 (0.002)	Loss 2.9797 (2.7650)	Prec@1 33.594 (34.099)	Prec@5 66.406 (64.527)
Epoch: [15][3600/14090]	Time 0.721 (0.766)	Data 0.001 (0.002)	Loss 2.9650 (2.7649)	Prec@1 25.000 (34.104)	Prec@5 64.062 (64.528)
Epoch: [15][3610/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 2.5087 (2.7649)	Prec@1 37.500 (34.105)	Prec@5 70.312 (64.525)
Epoch: [15][3620/14090]	Time 0.770 (0.766)	Data 0.001 (0.002)	Loss 2.9959 (2.7650)	Prec@1 30.469 (34.105)	Prec@5 59.375 (64.520)
Epoch: [15][3630/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.5865 (2.7651)	Prec@1 34.375 (34.098)	Prec@5 71.094 (64.516)
Epoch: [15][3640/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.7652 (2.7651)	Prec@1 35.156 (34.098)	Prec@5 66.406 (64.515)
Epoch: [15][3650/14090]	Time 0.763 (0.766)	Data 0.002 (0.002)	Loss 2.7695 (2.7650)	Prec@1 30.469 (34.103)	Prec@5 60.938 (64.514)
Epoch: [15][3660/14090]	Time 0.876 (0.766)	Data 0.001 (0.002)	Loss 2.9126 (2.7651)	Prec@1 32.031 (34.097)	Prec@5 59.375 (64.511)
Epoch: [15][3670/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.6310 (2.7650)	Prec@1 43.750 (34.102)	Prec@5 68.750 (64.517)
Epoch: [15][3680/14090]	Time 0.723 (0.766)	Data 0.001 (0.002)	Loss 2.3270 (2.7651)	Prec@1 41.406 (34.101)	Prec@5 72.656 (64.516)
Epoch: [15][3690/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 2.5698 (2.7647)	Prec@1 35.156 (34.107)	Prec@5 68.750 (64.522)
Epoch: [15][3700/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 3.0447 (2.7647)	Prec@1 29.688 (34.109)	Prec@5 59.375 (64.521)
Epoch: [15][3710/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 2.8162 (2.7647)	Prec@1 34.375 (34.116)	Prec@5 64.844 (64.522)
Epoch: [15][3720/14090]	Time 0.728 (0.766)	Data 0.001 (0.002)	Loss 3.0872 (2.7647)	Prec@1 27.344 (34.116)	Prec@5 59.375 (64.525)
Epoch: [15][3730/14090]	Time 0.919 (0.766)	Data 0.001 (0.002)	Loss 2.6257 (2.7647)	Prec@1 36.719 (34.118)	Prec@5 63.281 (64.525)
Epoch: [15][3740/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 2.6470 (2.7644)	Prec@1 38.281 (34.123)	Prec@5 66.406 (64.530)
Epoch: [15][3750/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 2.6980 (2.7644)	Prec@1 39.062 (34.124)	Prec@5 63.281 (64.529)
Epoch: [15][3760/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 2.6560 (2.7647)	Prec@1 38.281 (34.126)	Prec@5 60.156 (64.525)
Epoch: [15][3770/14090]	Time 0.769 (0.766)	Data 0.001 (0.002)	Loss 2.7684 (2.7647)	Prec@1 34.375 (34.122)	Prec@5 68.750 (64.530)
Epoch: [15][3780/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 2.8935 (2.7649)	Prec@1 31.250 (34.121)	Prec@5 61.719 (64.529)
Epoch: [15][3790/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 2.7487 (2.7651)	Prec@1 39.062 (34.117)	Prec@5 61.719 (64.523)
Epoch: [15][3800/14090]	Time 0.860 (0.766)	Data 0.001 (0.002)	Loss 2.8062 (2.7652)	Prec@1 38.281 (34.117)	Prec@5 69.531 (64.523)
Epoch: [15][3810/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 2.8968 (2.7650)	Prec@1 32.031 (34.121)	Prec@5 64.844 (64.530)
Epoch: [15][3820/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 3.0325 (2.7651)	Prec@1 28.906 (34.124)	Prec@5 57.031 (64.529)
Epoch: [15][3830/14090]	Time 0.789 (0.766)	Data 0.001 (0.002)	Loss 2.8246 (2.7648)	Prec@1 29.688 (34.124)	Prec@5 65.625 (64.538)
Epoch: [15][3840/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 2.6008 (2.7648)	Prec@1 35.156 (34.120)	Prec@5 64.062 (64.537)
Epoch: [15][3850/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 2.8209 (2.7651)	Prec@1 30.469 (34.119)	Prec@5 61.719 (64.531)
Epoch: [15][3860/14090]	Time 0.772 (0.766)	Data 0.001 (0.002)	Loss 2.9195 (2.7652)	Prec@1 35.156 (34.117)	Prec@5 63.281 (64.528)
Epoch: [15][3870/14090]	Time 0.888 (0.766)	Data 0.001 (0.002)	Loss 2.6015 (2.7652)	Prec@1 34.375 (34.124)	Prec@5 63.281 (64.529)
Epoch: [15][3880/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 2.6561 (2.7652)	Prec@1 34.375 (34.126)	Prec@5 67.969 (64.530)
Epoch: [15][3890/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.7764 (2.7653)	Prec@1 30.469 (34.124)	Prec@5 57.031 (64.525)
Epoch: [15][3900/14090]	Time 0.727 (0.766)	Data 0.001 (0.002)	Loss 2.7763 (2.7653)	Prec@1 34.375 (34.125)	Prec@5 65.625 (64.527)
Epoch: [15][3910/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 3.0957 (2.7653)	Prec@1 31.250 (34.124)	Prec@5 63.281 (64.528)
Epoch: [15][3920/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 2.6261 (2.7651)	Prec@1 39.062 (34.127)	Prec@5 66.406 (64.534)
Epoch: [15][3930/14090]	Time 0.767 (0.766)	Data 0.001 (0.002)	Loss 2.7212 (2.7651)	Prec@1 35.156 (34.128)	Prec@5 67.969 (64.536)
Epoch: [15][3940/14090]	Time 0.888 (0.766)	Data 0.001 (0.002)	Loss 2.6993 (2.7652)	Prec@1 40.625 (34.131)	Prec@5 64.062 (64.532)
Epoch: [15][3950/14090]	Time 0.774 (0.766)	Data 0.001 (0.002)	Loss 2.6880 (2.7653)	Prec@1 33.594 (34.126)	Prec@5 63.281 (64.530)
Epoch: [15][3960/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 2.7103 (2.7652)	Prec@1 35.156 (34.122)	Prec@5 68.750 (64.530)
Epoch: [15][3970/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 2.5271 (2.7651)	Prec@1 32.031 (34.117)	Prec@5 71.875 (64.532)
Epoch: [15][3980/14090]	Time 0.728 (0.766)	Data 0.001 (0.002)	Loss 2.8251 (2.7652)	Prec@1 29.688 (34.116)	Prec@5 68.750 (64.529)
Epoch: [15][3990/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 2.7192 (2.7651)	Prec@1 37.500 (34.118)	Prec@5 66.406 (64.528)
Epoch: [15][4000/14090]	Time 0.761 (0.766)	Data 0.001 (0.002)	Loss 2.7047 (2.7652)	Prec@1 36.719 (34.119)	Prec@5 63.281 (64.524)
Epoch: [15][4010/14090]	Time 0.886 (0.766)	Data 0.001 (0.002)	Loss 3.1197 (2.7654)	Prec@1 25.000 (34.115)	Prec@5 59.375 (64.524)
Epoch: [15][4020/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.7481 (2.7655)	Prec@1 28.906 (34.114)	Prec@5 65.625 (64.522)
Epoch: [15][4030/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 2.9309 (2.7656)	Prec@1 29.688 (34.113)	Prec@5 60.156 (64.519)
Epoch: [15][4040/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 3.0873 (2.7657)	Prec@1 28.125 (34.111)	Prec@5 57.812 (64.520)
Epoch: [15][4050/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 2.4403 (2.7655)	Prec@1 43.750 (34.108)	Prec@5 69.531 (64.524)
Epoch: [15][4060/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 2.7756 (2.7655)	Prec@1 31.250 (34.109)	Prec@5 67.188 (64.524)
Epoch: [15][4070/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 2.4211 (2.7656)	Prec@1 40.625 (34.110)	Prec@5 70.312 (64.522)
Epoch: [15][4080/14090]	Time 0.866 (0.766)	Data 0.001 (0.002)	Loss 2.6691 (2.7655)	Prec@1 35.938 (34.111)	Prec@5 60.938 (64.520)
Epoch: [15][4090/14090]	Time 0.757 (0.766)	Data 0.002 (0.002)	Loss 2.7440 (2.7655)	Prec@1 35.156 (34.111)	Prec@5 67.969 (64.522)
Epoch: [15][4100/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 2.7822 (2.7655)	Prec@1 35.938 (34.111)	Prec@5 69.531 (64.523)
Epoch: [15][4110/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.8260 (2.7657)	Prec@1 38.281 (34.109)	Prec@5 62.500 (64.517)
Epoch: [15][4120/14090]	Time 0.757 (0.766)	Data 0.002 (0.002)	Loss 2.7620 (2.7656)	Prec@1 35.938 (34.116)	Prec@5 64.062 (64.517)
Epoch: [15][4130/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.6109 (2.7655)	Prec@1 41.406 (34.119)	Prec@5 69.531 (64.518)
Epoch: [15][4140/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 2.7141 (2.7655)	Prec@1 31.250 (34.119)	Prec@5 63.281 (64.518)
Epoch: [15][4150/14090]	Time 0.829 (0.767)	Data 0.001 (0.002)	Loss 2.8004 (2.7656)	Prec@1 33.594 (34.122)	Prec@5 65.625 (64.519)
Epoch: [15][4160/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 2.6741 (2.7658)	Prec@1 35.156 (34.117)	Prec@5 65.625 (64.511)
Epoch: [15][4170/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 2.6898 (2.7658)	Prec@1 36.719 (34.117)	Prec@5 65.625 (64.514)
Epoch: [15][4180/14090]	Time 0.788 (0.767)	Data 0.001 (0.002)	Loss 2.8771 (2.7658)	Prec@1 28.906 (34.117)	Prec@5 62.500 (64.515)
Epoch: [15][4190/14090]	Time 0.777 (0.767)	Data 0.001 (0.002)	Loss 3.1728 (2.7660)	Prec@1 25.781 (34.115)	Prec@5 55.469 (64.513)
Epoch: [15][4200/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 2.7315 (2.7660)	Prec@1 31.250 (34.117)	Prec@5 65.625 (64.508)
Epoch: [15][4210/14090]	Time 0.731 (0.767)	Data 0.001 (0.002)	Loss 2.6857 (2.7660)	Prec@1 30.469 (34.117)	Prec@5 64.844 (64.506)
Epoch: [15][4220/14090]	Time 0.879 (0.767)	Data 0.001 (0.002)	Loss 2.5859 (2.7660)	Prec@1 36.719 (34.119)	Prec@5 70.312 (64.509)
Epoch: [15][4230/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 2.4961 (2.7660)	Prec@1 42.188 (34.120)	Prec@5 69.531 (64.508)
Epoch: [15][4240/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 2.6803 (2.7660)	Prec@1 34.375 (34.119)	Prec@5 64.062 (64.509)
Epoch: [15][4250/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.7330 (2.7661)	Prec@1 35.938 (34.121)	Prec@5 69.531 (64.508)
Epoch: [15][4260/14090]	Time 0.772 (0.766)	Data 0.001 (0.002)	Loss 2.5844 (2.7662)	Prec@1 32.031 (34.118)	Prec@5 69.531 (64.511)
Epoch: [15][4270/14090]	Time 0.778 (0.767)	Data 0.001 (0.002)	Loss 2.6177 (2.7660)	Prec@1 29.688 (34.118)	Prec@5 68.750 (64.517)
Epoch: [15][4280/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 2.9328 (2.7660)	Prec@1 27.344 (34.117)	Prec@5 60.938 (64.519)
Epoch: [15][4290/14090]	Time 0.936 (0.767)	Data 0.001 (0.002)	Loss 2.9410 (2.7661)	Prec@1 29.688 (34.119)	Prec@5 64.844 (64.520)
Epoch: [15][4300/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 2.3502 (2.7660)	Prec@1 45.312 (34.124)	Prec@5 71.875 (64.523)
Epoch: [15][4310/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 2.8227 (2.7662)	Prec@1 32.031 (34.122)	Prec@5 63.281 (64.521)
Epoch: [15][4320/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 2.8689 (2.7662)	Prec@1 38.281 (34.123)	Prec@5 62.500 (64.520)
Epoch: [15][4330/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.7875 (2.7664)	Prec@1 37.500 (34.124)	Prec@5 58.594 (64.514)
Epoch: [15][4340/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 2.9731 (2.7665)	Prec@1 31.250 (34.120)	Prec@5 60.156 (64.512)
Epoch: [15][4350/14090]	Time 0.738 (0.767)	Data 0.002 (0.002)	Loss 2.5311 (2.7663)	Prec@1 42.188 (34.121)	Prec@5 69.531 (64.513)
Epoch: [15][4360/14090]	Time 0.809 (0.767)	Data 0.001 (0.002)	Loss 2.4415 (2.7664)	Prec@1 36.719 (34.114)	Prec@5 71.875 (64.509)
Epoch: [15][4370/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 2.9041 (2.7665)	Prec@1 30.469 (34.111)	Prec@5 66.406 (64.509)
Epoch: [15][4380/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 2.5675 (2.7666)	Prec@1 32.812 (34.109)	Prec@5 67.969 (64.509)
Epoch: [15][4390/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.6354 (2.7667)	Prec@1 38.281 (34.108)	Prec@5 69.531 (64.507)
Epoch: [15][4400/14090]	Time 0.727 (0.767)	Data 0.003 (0.002)	Loss 2.9956 (2.7669)	Prec@1 25.781 (34.104)	Prec@5 56.250 (64.504)
Epoch: [15][4410/14090]	Time 0.760 (0.767)	Data 0.001 (0.002)	Loss 2.8768 (2.7669)	Prec@1 27.344 (34.103)	Prec@5 62.500 (64.505)
Epoch: [15][4420/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 2.4785 (2.7668)	Prec@1 42.188 (34.106)	Prec@5 71.094 (64.506)
Epoch: [15][4430/14090]	Time 0.919 (0.767)	Data 0.001 (0.002)	Loss 2.8616 (2.7669)	Prec@1 33.594 (34.102)	Prec@5 62.500 (64.501)
Epoch: [15][4440/14090]	Time 0.727 (0.767)	Data 0.001 (0.002)	Loss 2.7393 (2.7668)	Prec@1 34.375 (34.107)	Prec@5 61.719 (64.502)
Epoch: [15][4450/14090]	Time 0.757 (0.767)	Data 0.001 (0.002)	Loss 2.8971 (2.7665)	Prec@1 33.594 (34.110)	Prec@5 62.500 (64.507)
Epoch: [15][4460/14090]	Time 0.763 (0.767)	Data 0.001 (0.002)	Loss 2.6800 (2.7663)	Prec@1 36.719 (34.111)	Prec@5 66.406 (64.509)
Epoch: [15][4470/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 2.8463 (2.7664)	Prec@1 32.031 (34.106)	Prec@5 58.594 (64.508)
Epoch: [15][4480/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 2.6350 (2.7664)	Prec@1 38.281 (34.105)	Prec@5 67.969 (64.508)
Epoch: [15][4490/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 3.1215 (2.7664)	Prec@1 32.031 (34.107)	Prec@5 57.031 (64.507)
Epoch: [15][4500/14090]	Time 0.872 (0.767)	Data 0.001 (0.002)	Loss 2.7164 (2.7663)	Prec@1 35.156 (34.108)	Prec@5 64.844 (64.508)
Epoch: [15][4510/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 2.7607 (2.7662)	Prec@1 35.156 (34.107)	Prec@5 64.844 (64.510)
Epoch: [15][4520/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 2.6178 (2.7662)	Prec@1 32.812 (34.107)	Prec@5 67.188 (64.509)
Epoch: [15][4530/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.6534 (2.7662)	Prec@1 28.906 (34.108)	Prec@5 66.406 (64.509)
Epoch: [15][4540/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.7296 (2.7662)	Prec@1 30.469 (34.106)	Prec@5 61.719 (64.508)
Epoch: [15][4550/14090]	Time 0.779 (0.767)	Data 0.001 (0.002)	Loss 3.0354 (2.7662)	Prec@1 27.344 (34.104)	Prec@5 53.906 (64.504)
Epoch: [15][4560/14090]	Time 0.757 (0.767)	Data 0.001 (0.002)	Loss 2.5511 (2.7660)	Prec@1 45.312 (34.107)	Prec@5 71.094 (64.509)
Epoch: [15][4570/14090]	Time 0.870 (0.766)	Data 0.001 (0.002)	Loss 2.3924 (2.7661)	Prec@1 46.094 (34.109)	Prec@5 71.094 (64.509)
Epoch: [15][4580/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 3.0332 (2.7661)	Prec@1 26.562 (34.107)	Prec@5 61.719 (64.508)
Epoch: [15][4590/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 2.8881 (2.7661)	Prec@1 25.781 (34.107)	Prec@5 62.500 (64.506)
Epoch: [15][4600/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.7506 (2.7661)	Prec@1 32.031 (34.107)	Prec@5 65.625 (64.509)
Epoch: [15][4610/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 3.0869 (2.7662)	Prec@1 26.562 (34.107)	Prec@5 57.031 (64.506)
Epoch: [15][4620/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 2.7702 (2.7664)	Prec@1 35.156 (34.106)	Prec@5 66.406 (64.503)
Epoch: [15][4630/14090]	Time 0.798 (0.767)	Data 0.001 (0.002)	Loss 2.8076 (2.7666)	Prec@1 35.156 (34.102)	Prec@5 63.281 (64.495)
Epoch: [15][4640/14090]	Time 0.987 (0.767)	Data 0.001 (0.002)	Loss 2.7110 (2.7669)	Prec@1 35.938 (34.103)	Prec@5 69.531 (64.491)
Epoch: [15][4650/14090]	Time 0.745 (0.767)	Data 0.002 (0.002)	Loss 2.6883 (2.7669)	Prec@1 30.469 (34.103)	Prec@5 64.062 (64.489)
Epoch: [15][4660/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 2.7260 (2.7668)	Prec@1 35.938 (34.104)	Prec@5 67.188 (64.491)
Epoch: [15][4670/14090]	Time 0.774 (0.767)	Data 0.001 (0.002)	Loss 2.5513 (2.7668)	Prec@1 37.500 (34.102)	Prec@5 67.969 (64.490)
Epoch: [15][4680/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 3.0240 (2.7668)	Prec@1 30.469 (34.101)	Prec@5 57.812 (64.491)
Epoch: [15][4690/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 2.5019 (2.7667)	Prec@1 36.719 (34.098)	Prec@5 71.094 (64.492)
Epoch: [15][4700/14090]	Time 0.763 (0.767)	Data 0.001 (0.002)	Loss 3.0097 (2.7668)	Prec@1 31.250 (34.100)	Prec@5 60.938 (64.490)
Epoch: [15][4710/14090]	Time 0.850 (0.766)	Data 0.001 (0.002)	Loss 2.7081 (2.7668)	Prec@1 36.719 (34.099)	Prec@5 67.969 (64.492)
Epoch: [15][4720/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 3.0191 (2.7668)	Prec@1 26.562 (34.096)	Prec@5 57.031 (64.491)
Epoch: [15][4730/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 3.0458 (2.7669)	Prec@1 29.688 (34.095)	Prec@5 60.156 (64.489)
Epoch: [15][4740/14090]	Time 0.725 (0.766)	Data 0.001 (0.002)	Loss 2.5984 (2.7667)	Prec@1 32.812 (34.096)	Prec@5 68.750 (64.491)
Epoch: [15][4750/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 2.6647 (2.7665)	Prec@1 35.156 (34.101)	Prec@5 64.844 (64.494)
Epoch: [15][4760/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.9348 (2.7666)	Prec@1 32.031 (34.100)	Prec@5 59.375 (64.494)
Epoch: [15][4770/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.8362 (2.7666)	Prec@1 32.812 (34.101)	Prec@5 63.281 (64.493)
Epoch: [15][4780/14090]	Time 0.873 (0.766)	Data 0.001 (0.002)	Loss 2.8972 (2.7666)	Prec@1 35.156 (34.099)	Prec@5 61.719 (64.494)
Epoch: [15][4790/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 2.6396 (2.7664)	Prec@1 35.156 (34.103)	Prec@5 70.312 (64.498)
Epoch: [15][4800/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 2.8555 (2.7666)	Prec@1 35.938 (34.101)	Prec@5 61.719 (64.493)
Epoch: [15][4810/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.7102 (2.7665)	Prec@1 32.812 (34.104)	Prec@5 67.188 (64.496)
Epoch: [15][4820/14090]	Time 0.728 (0.766)	Data 0.001 (0.002)	Loss 2.5883 (2.7665)	Prec@1 39.062 (34.105)	Prec@5 69.531 (64.495)
Epoch: [15][4830/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.7854 (2.7664)	Prec@1 38.281 (34.109)	Prec@5 59.375 (64.493)
Epoch: [15][4840/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 3.0418 (2.7666)	Prec@1 30.469 (34.106)	Prec@5 54.688 (64.488)
Epoch: [15][4850/14090]	Time 0.909 (0.766)	Data 0.002 (0.002)	Loss 2.6959 (2.7668)	Prec@1 34.375 (34.106)	Prec@5 64.062 (64.487)
Epoch: [15][4860/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 2.7085 (2.7668)	Prec@1 34.375 (34.109)	Prec@5 65.625 (64.485)
Epoch: [15][4870/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.8469 (2.7665)	Prec@1 28.906 (34.114)	Prec@5 60.156 (64.486)
Epoch: [15][4880/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 2.7501 (2.7665)	Prec@1 36.719 (34.116)	Prec@5 60.156 (64.486)
Epoch: [15][4890/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.3857 (2.7664)	Prec@1 46.875 (34.120)	Prec@5 73.438 (64.486)
Epoch: [15][4900/14090]	Time 0.765 (0.766)	Data 0.001 (0.002)	Loss 2.9424 (2.7664)	Prec@1 32.812 (34.119)	Prec@5 60.938 (64.481)
Epoch: [15][4910/14090]	Time 0.747 (0.766)	Data 0.002 (0.002)	Loss 2.6360 (2.7664)	Prec@1 38.281 (34.119)	Prec@5 67.969 (64.480)
Epoch: [15][4920/14090]	Time 0.874 (0.766)	Data 0.001 (0.002)	Loss 2.7603 (2.7665)	Prec@1 32.031 (34.114)	Prec@5 67.969 (64.479)
Epoch: [15][4930/14090]	Time 0.727 (0.766)	Data 0.001 (0.002)	Loss 3.0789 (2.7666)	Prec@1 23.438 (34.113)	Prec@5 56.250 (64.477)
Epoch: [15][4940/14090]	Time 0.764 (0.766)	Data 0.001 (0.002)	Loss 2.6411 (2.7666)	Prec@1 40.625 (34.116)	Prec@5 71.875 (64.480)
Epoch: [15][4950/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 2.6795 (2.7667)	Prec@1 33.594 (34.112)	Prec@5 69.531 (64.476)
Epoch: [15][4960/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 2.9654 (2.7668)	Prec@1 29.688 (34.109)	Prec@5 59.375 (64.473)
Epoch: [15][4970/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 2.8748 (2.7670)	Prec@1 29.688 (34.105)	Prec@5 60.938 (64.470)
Epoch: [15][4980/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 2.7854 (2.7670)	Prec@1 28.906 (34.101)	Prec@5 60.938 (64.469)
Epoch: [15][4990/14090]	Time 0.868 (0.766)	Data 0.001 (0.002)	Loss 2.6494 (2.7670)	Prec@1 33.594 (34.101)	Prec@5 70.312 (64.469)
Epoch: [15][5000/14090]	Time 0.726 (0.766)	Data 0.001 (0.002)	Loss 3.0656 (2.7669)	Prec@1 32.031 (34.101)	Prec@5 57.812 (64.475)
Epoch: [15][5010/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.6137 (2.7668)	Prec@1 35.938 (34.101)	Prec@5 67.188 (64.476)
Epoch: [15][5020/14090]	Time 0.785 (0.766)	Data 0.001 (0.002)	Loss 2.4452 (2.7667)	Prec@1 36.719 (34.101)	Prec@5 69.531 (64.477)
Epoch: [15][5030/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 2.7309 (2.7668)	Prec@1 32.812 (34.098)	Prec@5 65.625 (64.478)
Epoch: [15][5040/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.9059 (2.7668)	Prec@1 28.906 (34.097)	Prec@5 65.625 (64.480)
Epoch: [15][5050/14090]	Time 0.761 (0.766)	Data 0.001 (0.002)	Loss 2.8578 (2.7666)	Prec@1 30.469 (34.099)	Prec@5 67.188 (64.486)
Epoch: [15][5060/14090]	Time 0.900 (0.767)	Data 0.001 (0.002)	Loss 2.9633 (2.7666)	Prec@1 31.250 (34.099)	Prec@5 60.938 (64.485)
Epoch: [15][5070/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 2.8224 (2.7666)	Prec@1 33.594 (34.098)	Prec@5 64.062 (64.484)
Epoch: [15][5080/14090]	Time 0.765 (0.767)	Data 0.001 (0.002)	Loss 2.6877 (2.7664)	Prec@1 33.594 (34.099)	Prec@5 63.281 (64.487)
Epoch: [15][5090/14090]	Time 0.728 (0.767)	Data 0.001 (0.002)	Loss 2.6162 (2.7664)	Prec@1 32.812 (34.100)	Prec@5 64.844 (64.490)
Epoch: [15][5100/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.6829 (2.7663)	Prec@1 39.844 (34.103)	Prec@5 68.750 (64.490)
Epoch: [15][5110/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 2.9889 (2.7662)	Prec@1 25.781 (34.102)	Prec@5 65.625 (64.492)
Epoch: [15][5120/14090]	Time 0.726 (0.767)	Data 0.001 (0.002)	Loss 2.8585 (2.7662)	Prec@1 35.156 (34.104)	Prec@5 60.938 (64.494)
Epoch: [15][5130/14090]	Time 0.846 (0.767)	Data 0.001 (0.002)	Loss 2.7430 (2.7661)	Prec@1 41.406 (34.110)	Prec@5 62.500 (64.495)
Epoch: [15][5140/14090]	Time 0.778 (0.767)	Data 0.001 (0.002)	Loss 2.8345 (2.7659)	Prec@1 32.031 (34.112)	Prec@5 61.719 (64.499)
Epoch: [15][5150/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.5524 (2.7659)	Prec@1 39.062 (34.115)	Prec@5 71.875 (64.501)
Epoch: [15][5160/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 2.8705 (2.7658)	Prec@1 35.156 (34.118)	Prec@5 59.375 (64.501)
Epoch: [15][5170/14090]	Time 0.765 (0.766)	Data 0.001 (0.002)	Loss 2.6069 (2.7659)	Prec@1 38.281 (34.118)	Prec@5 67.969 (64.500)
Epoch: [15][5180/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 2.7364 (2.7661)	Prec@1 33.594 (34.114)	Prec@5 66.406 (64.495)
Epoch: [15][5190/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 2.7676 (2.7660)	Prec@1 28.906 (34.116)	Prec@5 61.719 (64.498)
Epoch: [15][5200/14090]	Time 0.892 (0.767)	Data 0.001 (0.002)	Loss 2.5931 (2.7659)	Prec@1 37.500 (34.116)	Prec@5 63.281 (64.497)
Epoch: [15][5210/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 2.9221 (2.7660)	Prec@1 31.250 (34.119)	Prec@5 62.500 (64.495)
Epoch: [15][5220/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.8535 (2.7660)	Prec@1 39.062 (34.122)	Prec@5 64.062 (64.493)
Epoch: [15][5230/14090]	Time 0.767 (0.766)	Data 0.001 (0.002)	Loss 2.5453 (2.7658)	Prec@1 35.156 (34.124)	Prec@5 73.438 (64.501)
Epoch: [15][5240/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.8975 (2.7659)	Prec@1 28.906 (34.122)	Prec@5 62.500 (64.501)
Epoch: [15][5250/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 2.6702 (2.7658)	Prec@1 32.812 (34.120)	Prec@5 64.844 (64.501)
Epoch: [15][5260/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 2.9252 (2.7661)	Prec@1 32.812 (34.118)	Prec@5 58.594 (64.496)
Epoch: [15][5270/14090]	Time 0.849 (0.766)	Data 0.001 (0.002)	Loss 2.7834 (2.7662)	Prec@1 32.031 (34.117)	Prec@5 64.062 (64.493)
Epoch: [15][5280/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 2.6602 (2.7663)	Prec@1 34.375 (34.113)	Prec@5 64.844 (64.493)
Epoch: [15][5290/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 2.9734 (2.7665)	Prec@1 25.000 (34.105)	Prec@5 62.500 (64.491)
Epoch: [15][5300/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.6651 (2.7665)	Prec@1 29.688 (34.103)	Prec@5 66.406 (64.490)
Epoch: [15][5310/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 2.8287 (2.7666)	Prec@1 29.688 (34.102)	Prec@5 60.938 (64.489)
Epoch: [15][5320/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 2.9010 (2.7666)	Prec@1 30.469 (34.101)	Prec@5 61.719 (64.485)
Epoch: [15][5330/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.6727 (2.7665)	Prec@1 39.062 (34.105)	Prec@5 62.500 (64.487)
Epoch: [15][5340/14090]	Time 0.863 (0.766)	Data 0.001 (0.002)	Loss 3.0684 (2.7667)	Prec@1 29.688 (34.102)	Prec@5 58.594 (64.486)
Epoch: [15][5350/14090]	Time 0.727 (0.766)	Data 0.001 (0.002)	Loss 2.9011 (2.7667)	Prec@1 36.719 (34.103)	Prec@5 64.844 (64.484)
Epoch: [15][5360/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 3.0975 (2.7669)	Prec@1 27.344 (34.101)	Prec@5 55.469 (64.478)
Epoch: [15][5370/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.5466 (2.7668)	Prec@1 29.688 (34.101)	Prec@5 70.312 (64.479)
Epoch: [15][5380/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 2.6257 (2.7670)	Prec@1 37.500 (34.097)	Prec@5 67.969 (64.476)
Epoch: [15][5390/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 2.9797 (2.7670)	Prec@1 32.031 (34.097)	Prec@5 62.500 (64.478)
Epoch: [15][5400/14090]	Time 0.727 (0.766)	Data 0.001 (0.002)	Loss 2.8417 (2.7668)	Prec@1 33.594 (34.102)	Prec@5 64.062 (64.483)
Epoch: [15][5410/14090]	Time 0.828 (0.766)	Data 0.001 (0.002)	Loss 2.8072 (2.7667)	Prec@1 33.594 (34.103)	Prec@5 66.406 (64.486)
Epoch: [15][5420/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.3429 (2.7666)	Prec@1 35.156 (34.104)	Prec@5 68.750 (64.486)
Epoch: [15][5430/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 3.0903 (2.7668)	Prec@1 29.688 (34.101)	Prec@5 57.812 (64.482)
Epoch: [15][5440/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.4798 (2.7666)	Prec@1 32.031 (34.100)	Prec@5 70.312 (64.488)
Epoch: [15][5450/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 2.8478 (2.7667)	Prec@1 30.469 (34.098)	Prec@5 63.281 (64.487)
Epoch: [15][5460/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 2.7108 (2.7666)	Prec@1 30.469 (34.097)	Prec@5 70.312 (64.489)
Epoch: [15][5470/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.5258 (2.7664)	Prec@1 38.281 (34.100)	Prec@5 64.062 (64.491)
Epoch: [15][5480/14090]	Time 0.879 (0.766)	Data 0.001 (0.002)	Loss 2.8202 (2.7664)	Prec@1 34.375 (34.101)	Prec@5 64.844 (64.492)
Epoch: [15][5490/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 2.8226 (2.7665)	Prec@1 35.938 (34.098)	Prec@5 61.719 (64.488)
Epoch: [15][5500/14090]	Time 0.765 (0.766)	Data 0.001 (0.002)	Loss 2.6403 (2.7665)	Prec@1 35.156 (34.098)	Prec@5 66.406 (64.489)
Epoch: [15][5510/14090]	Time 0.776 (0.766)	Data 0.001 (0.002)	Loss 2.6074 (2.7666)	Prec@1 33.594 (34.093)	Prec@5 69.531 (64.487)
Epoch: [15][5520/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.4340 (2.7665)	Prec@1 42.969 (34.094)	Prec@5 70.312 (64.487)
Epoch: [15][5530/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 2.9905 (2.7665)	Prec@1 26.562 (34.094)	Prec@5 59.375 (64.486)
Epoch: [15][5540/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 2.9568 (2.7667)	Prec@1 33.594 (34.094)	Prec@5 59.375 (64.481)
Epoch: [15][5550/14090]	Time 0.864 (0.766)	Data 0.001 (0.002)	Loss 2.6536 (2.7669)	Prec@1 34.375 (34.092)	Prec@5 64.062 (64.479)
Epoch: [15][5560/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.6730 (2.7668)	Prec@1 36.719 (34.093)	Prec@5 65.625 (64.479)
Epoch: [15][5570/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.5905 (2.7668)	Prec@1 35.938 (34.093)	Prec@5 69.531 (64.478)
Epoch: [15][5580/14090]	Time 0.722 (0.766)	Data 0.001 (0.002)	Loss 2.8305 (2.7669)	Prec@1 33.594 (34.092)	Prec@5 63.281 (64.476)
Epoch: [15][5590/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 2.5270 (2.7668)	Prec@1 41.406 (34.095)	Prec@5 67.969 (64.475)
Epoch: [15][5600/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 2.7143 (2.7669)	Prec@1 34.375 (34.093)	Prec@5 60.938 (64.473)
Epoch: [15][5610/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 2.6881 (2.7668)	Prec@1 32.812 (34.093)	Prec@5 67.188 (64.474)
Epoch: [15][5620/14090]	Time 0.881 (0.766)	Data 0.001 (0.002)	Loss 2.7573 (2.7670)	Prec@1 36.719 (34.089)	Prec@5 69.531 (64.470)
Epoch: [15][5630/14090]	Time 0.763 (0.766)	Data 0.001 (0.002)	Loss 2.9345 (2.7671)	Prec@1 32.031 (34.086)	Prec@5 59.375 (64.465)
Epoch: [15][5640/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.8197 (2.7671)	Prec@1 33.594 (34.086)	Prec@5 63.281 (64.465)
Epoch: [15][5650/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.6964 (2.7670)	Prec@1 33.594 (34.086)	Prec@5 67.188 (64.466)
Epoch: [15][5660/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.8270 (2.7671)	Prec@1 34.375 (34.087)	Prec@5 59.375 (64.465)
Epoch: [15][5670/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.5052 (2.7670)	Prec@1 34.375 (34.089)	Prec@5 69.531 (64.467)
Epoch: [15][5680/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.4889 (2.7669)	Prec@1 38.281 (34.094)	Prec@5 69.531 (64.468)
Epoch: [15][5690/14090]	Time 0.909 (0.766)	Data 0.001 (0.002)	Loss 2.7184 (2.7669)	Prec@1 30.469 (34.097)	Prec@5 60.156 (64.467)
Epoch: [15][5700/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.5166 (2.7667)	Prec@1 39.062 (34.103)	Prec@5 72.656 (64.471)
Epoch: [15][5710/14090]	Time 0.723 (0.766)	Data 0.001 (0.002)	Loss 2.6753 (2.7666)	Prec@1 35.156 (34.106)	Prec@5 64.062 (64.471)
Epoch: [15][5720/14090]	Time 0.728 (0.766)	Data 0.001 (0.002)	Loss 3.0328 (2.7667)	Prec@1 29.688 (34.105)	Prec@5 60.938 (64.470)
Epoch: [15][5730/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 2.6947 (2.7667)	Prec@1 36.719 (34.106)	Prec@5 63.281 (64.471)
Epoch: [15][5740/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 2.5542 (2.7668)	Prec@1 39.844 (34.105)	Prec@5 68.750 (64.468)
Epoch: [15][5750/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.8141 (2.7668)	Prec@1 32.031 (34.104)	Prec@5 61.719 (64.470)
Epoch: [15][5760/14090]	Time 0.856 (0.766)	Data 0.001 (0.002)	Loss 2.6146 (2.7667)	Prec@1 33.594 (34.106)	Prec@5 66.406 (64.471)
Epoch: [15][5770/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 3.1203 (2.7667)	Prec@1 32.031 (34.104)	Prec@5 57.031 (64.471)
Epoch: [15][5780/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.6483 (2.7666)	Prec@1 35.156 (34.106)	Prec@5 63.281 (64.473)
Epoch: [15][5790/14090]	Time 0.778 (0.766)	Data 0.001 (0.002)	Loss 3.0753 (2.7666)	Prec@1 22.656 (34.104)	Prec@5 56.250 (64.474)
Epoch: [15][5800/14090]	Time 0.726 (0.766)	Data 0.001 (0.002)	Loss 2.7524 (2.7666)	Prec@1 33.594 (34.104)	Prec@5 64.062 (64.472)
Epoch: [15][5810/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.8766 (2.7666)	Prec@1 32.031 (34.103)	Prec@5 66.406 (64.475)
Epoch: [15][5820/14090]	Time 0.775 (0.766)	Data 0.001 (0.002)	Loss 2.9109 (2.7667)	Prec@1 31.250 (34.102)	Prec@5 62.500 (64.472)
Epoch: [15][5830/14090]	Time 0.868 (0.766)	Data 0.001 (0.002)	Loss 2.7659 (2.7667)	Prec@1 34.375 (34.100)	Prec@5 61.719 (64.473)
Epoch: [15][5840/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 2.7104 (2.7667)	Prec@1 35.156 (34.102)	Prec@5 65.625 (64.473)
Epoch: [15][5850/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.5707 (2.7666)	Prec@1 39.844 (34.102)	Prec@5 62.500 (64.474)
Epoch: [15][5860/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 2.8677 (2.7667)	Prec@1 34.375 (34.102)	Prec@5 59.375 (64.474)
Epoch: [15][5870/14090]	Time 0.728 (0.766)	Data 0.001 (0.002)	Loss 2.7357 (2.7667)	Prec@1 39.062 (34.104)	Prec@5 66.406 (64.475)
Epoch: [15][5880/14090]	Time 0.723 (0.766)	Data 0.001 (0.002)	Loss 2.4880 (2.7666)	Prec@1 40.625 (34.106)	Prec@5 69.531 (64.477)
Epoch: [15][5890/14090]	Time 0.764 (0.766)	Data 0.001 (0.002)	Loss 2.9192 (2.7667)	Prec@1 36.719 (34.103)	Prec@5 64.844 (64.475)
Epoch: [15][5900/14090]	Time 0.868 (0.766)	Data 0.001 (0.002)	Loss 2.8353 (2.7669)	Prec@1 29.688 (34.100)	Prec@5 62.500 (64.471)
Epoch: [15][5910/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.8988 (2.7669)	Prec@1 27.344 (34.101)	Prec@5 60.938 (64.469)
Epoch: [15][5920/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 2.6097 (2.7668)	Prec@1 37.500 (34.103)	Prec@5 68.750 (64.470)
Epoch: [15][5930/14090]	Time 0.777 (0.766)	Data 0.001 (0.002)	Loss 2.7471 (2.7669)	Prec@1 35.156 (34.102)	Prec@5 61.719 (64.469)
Epoch: [15][5940/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 2.6419 (2.7669)	Prec@1 37.500 (34.102)	Prec@5 68.750 (64.469)
Epoch: [15][5950/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 3.0090 (2.7670)	Prec@1 31.250 (34.101)	Prec@5 60.938 (64.468)
Epoch: [15][5960/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.7318 (2.7673)	Prec@1 35.156 (34.094)	Prec@5 65.625 (64.461)
Epoch: [15][5970/14090]	Time 0.821 (0.766)	Data 0.001 (0.002)	Loss 2.7299 (2.7674)	Prec@1 32.812 (34.092)	Prec@5 68.750 (64.462)
Epoch: [15][5980/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 2.4824 (2.7674)	Prec@1 42.188 (34.090)	Prec@5 67.969 (64.461)
Epoch: [15][5990/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 2.7249 (2.7675)	Prec@1 34.375 (34.089)	Prec@5 67.188 (64.459)
Epoch: [15][6000/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.9248 (2.7675)	Prec@1 28.906 (34.088)	Prec@5 60.938 (64.460)
Epoch: [15][6010/14090]	Time 0.763 (0.766)	Data 0.001 (0.002)	Loss 2.6967 (2.7676)	Prec@1 29.688 (34.086)	Prec@5 64.062 (64.457)
Epoch: [15][6020/14090]	Time 0.764 (0.766)	Data 0.001 (0.002)	Loss 2.6826 (2.7676)	Prec@1 35.156 (34.086)	Prec@5 69.531 (64.457)
Epoch: [15][6030/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.8311 (2.7676)	Prec@1 36.719 (34.084)	Prec@5 63.281 (64.457)
Epoch: [15][6040/14090]	Time 0.844 (0.766)	Data 0.001 (0.002)	Loss 2.6012 (2.7674)	Prec@1 38.281 (34.084)	Prec@5 64.062 (64.462)
Epoch: [15][6050/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 2.7790 (2.7674)	Prec@1 28.906 (34.082)	Prec@5 60.156 (64.463)
Epoch: [15][6060/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 2.6177 (2.7672)	Prec@1 32.812 (34.085)	Prec@5 64.062 (64.464)
Epoch: [15][6070/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.8654 (2.7672)	Prec@1 30.469 (34.084)	Prec@5 68.750 (64.464)
Epoch: [15][6080/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.6652 (2.7672)	Prec@1 34.375 (34.082)	Prec@5 71.094 (64.461)
Epoch: [15][6090/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 2.9912 (2.7674)	Prec@1 29.688 (34.079)	Prec@5 64.844 (64.459)
Epoch: [15][6100/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.8963 (2.7671)	Prec@1 35.156 (34.083)	Prec@5 57.812 (64.464)
Epoch: [15][6110/14090]	Time 0.903 (0.766)	Data 0.001 (0.002)	Loss 2.8688 (2.7671)	Prec@1 25.000 (34.080)	Prec@5 64.062 (64.465)
Epoch: [15][6120/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.6966 (2.7671)	Prec@1 35.938 (34.081)	Prec@5 69.531 (64.468)
Epoch: [15][6130/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 2.5825 (2.7671)	Prec@1 38.281 (34.081)	Prec@5 68.750 (64.467)
Epoch: [15][6140/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 2.6259 (2.7672)	Prec@1 30.469 (34.079)	Prec@5 64.844 (64.464)
Epoch: [15][6150/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.8345 (2.7673)	Prec@1 37.500 (34.077)	Prec@5 59.375 (64.461)
Epoch: [15][6160/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.4904 (2.7673)	Prec@1 39.062 (34.079)	Prec@5 70.312 (64.461)
Epoch: [15][6170/14090]	Time 0.773 (0.766)	Data 0.001 (0.002)	Loss 2.9975 (2.7674)	Prec@1 30.469 (34.077)	Prec@5 61.719 (64.460)
Epoch: [15][6180/14090]	Time 0.858 (0.766)	Data 0.001 (0.002)	Loss 2.5943 (2.7674)	Prec@1 35.156 (34.078)	Prec@5 69.531 (64.460)
Epoch: [15][6190/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.5503 (2.7672)	Prec@1 31.250 (34.082)	Prec@5 70.312 (64.463)
Epoch: [15][6200/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 2.7752 (2.7672)	Prec@1 33.594 (34.082)	Prec@5 64.844 (64.463)
Epoch: [15][6210/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.9188 (2.7673)	Prec@1 28.125 (34.085)	Prec@5 67.188 (64.460)
Epoch: [15][6220/14090]	Time 0.772 (0.766)	Data 0.001 (0.002)	Loss 2.9211 (2.7673)	Prec@1 31.250 (34.084)	Prec@5 57.031 (64.459)
Epoch: [15][6230/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.4508 (2.7672)	Prec@1 39.062 (34.084)	Prec@5 71.875 (64.461)
Epoch: [15][6240/14090]	Time 0.766 (0.766)	Data 0.001 (0.002)	Loss 2.5164 (2.7671)	Prec@1 42.188 (34.089)	Prec@5 69.531 (64.460)
Epoch: [15][6250/14090]	Time 0.867 (0.766)	Data 0.001 (0.002)	Loss 2.7481 (2.7671)	Prec@1 32.031 (34.088)	Prec@5 64.062 (64.459)
Epoch: [15][6260/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 2.5993 (2.7671)	Prec@1 39.844 (34.090)	Prec@5 62.500 (64.460)
Epoch: [15][6270/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 3.0075 (2.7671)	Prec@1 28.125 (34.090)	Prec@5 60.156 (64.460)
Epoch: [15][6280/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.7769 (2.7670)	Prec@1 34.375 (34.091)	Prec@5 61.719 (64.459)
Epoch: [15][6290/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 3.0458 (2.7670)	Prec@1 27.344 (34.092)	Prec@5 55.469 (64.459)
Epoch: [15][6300/14090]	Time 0.763 (0.766)	Data 0.001 (0.002)	Loss 2.9676 (2.7671)	Prec@1 35.938 (34.094)	Prec@5 60.156 (64.461)
Epoch: [15][6310/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 2.8687 (2.7672)	Prec@1 34.375 (34.091)	Prec@5 63.281 (64.460)
Epoch: [15][6320/14090]	Time 0.866 (0.766)	Data 0.001 (0.002)	Loss 2.7106 (2.7674)	Prec@1 32.031 (34.089)	Prec@5 64.062 (64.456)
Epoch: [15][6330/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 2.7151 (2.7674)	Prec@1 31.250 (34.091)	Prec@5 67.188 (64.456)
Epoch: [15][6340/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 2.7584 (2.7673)	Prec@1 36.719 (34.093)	Prec@5 64.844 (64.457)
Epoch: [15][6350/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 2.7185 (2.7672)	Prec@1 35.938 (34.097)	Prec@5 67.188 (64.457)
Epoch: [15][6360/14090]	Time 0.723 (0.766)	Data 0.001 (0.001)	Loss 2.7335 (2.7671)	Prec@1 32.031 (34.096)	Prec@5 66.406 (64.458)
Epoch: [15][6370/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 2.7090 (2.7672)	Prec@1 32.031 (34.096)	Prec@5 66.406 (64.455)
Epoch: [15][6380/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.7598 (2.7672)	Prec@1 34.375 (34.095)	Prec@5 61.719 (64.454)
Epoch: [15][6390/14090]	Time 0.884 (0.766)	Data 0.001 (0.001)	Loss 2.6788 (2.7671)	Prec@1 34.375 (34.096)	Prec@5 67.188 (64.456)
Epoch: [15][6400/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.7776 (2.7670)	Prec@1 35.156 (34.098)	Prec@5 59.375 (64.460)
Epoch: [15][6410/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.7706 (2.7671)	Prec@1 31.250 (34.098)	Prec@5 60.156 (64.455)
Epoch: [15][6420/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 3.0415 (2.7671)	Prec@1 32.812 (34.098)	Prec@5 57.031 (64.451)
Epoch: [15][6430/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.9132 (2.7672)	Prec@1 28.906 (34.099)	Prec@5 63.281 (64.450)
Epoch: [15][6440/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 2.7817 (2.7671)	Prec@1 33.594 (34.099)	Prec@5 64.844 (64.452)
Epoch: [15][6450/14090]	Time 0.724 (0.766)	Data 0.001 (0.001)	Loss 2.7902 (2.7671)	Prec@1 34.375 (34.098)	Prec@5 61.719 (64.451)
Epoch: [15][6460/14090]	Time 0.876 (0.766)	Data 0.001 (0.001)	Loss 2.8030 (2.7670)	Prec@1 32.812 (34.099)	Prec@5 68.750 (64.453)
Epoch: [15][6470/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.5950 (2.7670)	Prec@1 38.281 (34.098)	Prec@5 63.281 (64.453)
Epoch: [15][6480/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.8800 (2.7670)	Prec@1 32.812 (34.099)	Prec@5 65.625 (64.455)
Epoch: [15][6490/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.9354 (2.7671)	Prec@1 30.469 (34.099)	Prec@5 62.500 (64.454)
Epoch: [15][6500/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.7235 (2.7670)	Prec@1 34.375 (34.103)	Prec@5 64.062 (64.456)
Epoch: [15][6510/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.5861 (2.7670)	Prec@1 35.938 (34.103)	Prec@5 69.531 (64.454)
Epoch: [15][6520/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.8678 (2.7670)	Prec@1 30.469 (34.102)	Prec@5 64.844 (64.455)
Epoch: [15][6530/14090]	Time 0.843 (0.766)	Data 0.001 (0.001)	Loss 2.5652 (2.7670)	Prec@1 37.500 (34.102)	Prec@5 68.750 (64.453)
Epoch: [15][6540/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.8526 (2.7671)	Prec@1 31.250 (34.102)	Prec@5 64.844 (64.452)
Epoch: [15][6550/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.7184 (2.7670)	Prec@1 34.375 (34.103)	Prec@5 67.188 (64.454)
Epoch: [15][6560/14090]	Time 0.722 (0.766)	Data 0.001 (0.001)	Loss 2.5631 (2.7672)	Prec@1 40.625 (34.101)	Prec@5 67.188 (64.450)
Epoch: [15][6570/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.6197 (2.7672)	Prec@1 32.812 (34.100)	Prec@5 70.312 (64.450)
Epoch: [15][6580/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.6840 (2.7673)	Prec@1 32.812 (34.099)	Prec@5 65.625 (64.445)
Epoch: [15][6590/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.7647 (2.7674)	Prec@1 35.156 (34.098)	Prec@5 59.375 (64.444)
Epoch: [15][6600/14090]	Time 0.859 (0.766)	Data 0.001 (0.001)	Loss 2.7284 (2.7674)	Prec@1 33.594 (34.096)	Prec@5 60.938 (64.444)
Epoch: [15][6610/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.7885 (2.7674)	Prec@1 32.031 (34.097)	Prec@5 67.188 (64.444)
Epoch: [15][6620/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.9474 (2.7674)	Prec@1 33.594 (34.097)	Prec@5 59.375 (64.444)
Epoch: [15][6630/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 3.1539 (2.7675)	Prec@1 32.031 (34.100)	Prec@5 60.938 (64.446)
Epoch: [15][6640/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.7529 (2.7676)	Prec@1 36.719 (34.098)	Prec@5 63.281 (64.443)
Epoch: [15][6650/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 2.8200 (2.7676)	Prec@1 34.375 (34.099)	Prec@5 60.156 (64.444)
Epoch: [15][6660/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.7921 (2.7677)	Prec@1 35.156 (34.099)	Prec@5 63.281 (64.445)
Epoch: [15][6670/14090]	Time 0.866 (0.766)	Data 0.001 (0.001)	Loss 2.3107 (2.7678)	Prec@1 41.406 (34.099)	Prec@5 74.219 (64.441)
Epoch: [15][6680/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.9768 (2.7677)	Prec@1 29.688 (34.101)	Prec@5 56.250 (64.444)
Epoch: [15][6690/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.9340 (2.7676)	Prec@1 32.812 (34.103)	Prec@5 57.031 (64.445)
Epoch: [15][6700/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.8539 (2.7676)	Prec@1 30.469 (34.105)	Prec@5 59.375 (64.445)
Epoch: [15][6710/14090]	Time 0.778 (0.766)	Data 0.001 (0.001)	Loss 2.5755 (2.7676)	Prec@1 40.625 (34.103)	Prec@5 68.750 (64.445)
Epoch: [15][6720/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.4143 (2.7675)	Prec@1 39.844 (34.106)	Prec@5 74.219 (64.446)
Epoch: [15][6730/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.4601 (2.7674)	Prec@1 35.156 (34.110)	Prec@5 73.438 (64.449)
Epoch: [15][6740/14090]	Time 0.895 (0.766)	Data 0.001 (0.001)	Loss 2.5933 (2.7673)	Prec@1 41.406 (34.113)	Prec@5 68.750 (64.450)
Epoch: [15][6750/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.6586 (2.7674)	Prec@1 36.719 (34.113)	Prec@5 65.625 (64.447)
Epoch: [15][6760/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.7551 (2.7673)	Prec@1 32.812 (34.114)	Prec@5 68.750 (64.449)
Epoch: [15][6770/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.3403 (2.7674)	Prec@1 41.406 (34.112)	Prec@5 71.094 (64.449)
Epoch: [15][6780/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.4576 (2.7673)	Prec@1 38.281 (34.113)	Prec@5 70.312 (64.451)
Epoch: [15][6790/14090]	Time 0.778 (0.766)	Data 0.001 (0.001)	Loss 2.3167 (2.7671)	Prec@1 39.844 (34.117)	Prec@5 74.219 (64.454)
Epoch: [15][6800/14090]	Time 0.767 (0.766)	Data 0.001 (0.001)	Loss 2.7645 (2.7671)	Prec@1 37.500 (34.119)	Prec@5 64.844 (64.454)
Epoch: [15][6810/14090]	Time 0.855 (0.766)	Data 0.001 (0.001)	Loss 2.8035 (2.7671)	Prec@1 25.000 (34.117)	Prec@5 69.531 (64.454)
Epoch: [15][6820/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.8590 (2.7672)	Prec@1 36.719 (34.117)	Prec@5 63.281 (64.452)
Epoch: [15][6830/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.7077 (2.7673)	Prec@1 35.938 (34.116)	Prec@5 64.062 (64.449)
Epoch: [15][6840/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.5729 (2.7672)	Prec@1 36.719 (34.117)	Prec@5 71.875 (64.451)
Epoch: [15][6850/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.4192 (2.7671)	Prec@1 40.625 (34.119)	Prec@5 74.219 (64.452)
Epoch: [15][6860/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.7486 (2.7673)	Prec@1 40.625 (34.117)	Prec@5 61.719 (64.450)
Epoch: [15][6870/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 2.6414 (2.7673)	Prec@1 44.531 (34.119)	Prec@5 67.969 (64.450)
Epoch: [15][6880/14090]	Time 0.873 (0.766)	Data 0.001 (0.001)	Loss 2.6507 (2.7673)	Prec@1 36.719 (34.118)	Prec@5 68.750 (64.450)
Epoch: [15][6890/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.5526 (2.7674)	Prec@1 39.844 (34.117)	Prec@5 71.094 (64.447)
Epoch: [15][6900/14090]	Time 0.767 (0.766)	Data 0.002 (0.001)	Loss 2.6194 (2.7674)	Prec@1 35.938 (34.118)	Prec@5 67.188 (64.446)
Epoch: [15][6910/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.6272 (2.7673)	Prec@1 32.812 (34.118)	Prec@5 66.406 (64.447)
Epoch: [15][6920/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.8682 (2.7675)	Prec@1 32.812 (34.116)	Prec@5 56.250 (64.444)
Epoch: [15][6930/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.5254 (2.7674)	Prec@1 42.188 (34.116)	Prec@5 71.094 (64.444)
Epoch: [15][6940/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 2.8824 (2.7675)	Prec@1 32.031 (34.115)	Prec@5 63.281 (64.444)
Epoch: [15][6950/14090]	Time 0.888 (0.766)	Data 0.001 (0.001)	Loss 2.7763 (2.7675)	Prec@1 32.031 (34.117)	Prec@5 60.938 (64.442)
Epoch: [15][6960/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.9077 (2.7675)	Prec@1 30.469 (34.117)	Prec@5 61.719 (64.441)
Epoch: [15][6970/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.7602 (2.7676)	Prec@1 33.594 (34.114)	Prec@5 64.062 (64.439)
Epoch: [15][6980/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 2.7430 (2.7677)	Prec@1 35.156 (34.114)	Prec@5 65.625 (64.439)
Epoch: [15][6990/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.4838 (2.7676)	Prec@1 40.625 (34.114)	Prec@5 67.188 (64.438)
Epoch: [15][7000/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.8883 (2.7678)	Prec@1 27.344 (34.110)	Prec@5 60.156 (64.436)
Epoch: [15][7010/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 2.7957 (2.7677)	Prec@1 35.938 (34.113)	Prec@5 58.594 (64.437)
Epoch: [15][7020/14090]	Time 0.881 (0.766)	Data 0.001 (0.001)	Loss 2.7705 (2.7677)	Prec@1 37.500 (34.115)	Prec@5 64.062 (64.437)
Epoch: [15][7030/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.5220 (2.7676)	Prec@1 32.812 (34.115)	Prec@5 69.531 (64.439)
Epoch: [15][7040/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.7861 (2.7676)	Prec@1 28.125 (34.115)	Prec@5 64.844 (64.441)
Epoch: [15][7050/14090]	Time 0.789 (0.766)	Data 0.001 (0.001)	Loss 2.6830 (2.7676)	Prec@1 31.250 (34.117)	Prec@5 64.062 (64.439)
Epoch: [15][7060/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 2.9272 (2.7676)	Prec@1 35.156 (34.118)	Prec@5 60.938 (64.437)
Epoch: [15][7070/14090]	Time 0.774 (0.766)	Data 0.001 (0.001)	Loss 2.7571 (2.7676)	Prec@1 36.719 (34.119)	Prec@5 60.938 (64.438)
Epoch: [15][7080/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.8522 (2.7676)	Prec@1 36.719 (34.121)	Prec@5 64.062 (64.439)
Epoch: [15][7090/14090]	Time 0.899 (0.766)	Data 0.001 (0.001)	Loss 2.6858 (2.7677)	Prec@1 33.594 (34.119)	Prec@5 66.406 (64.436)
Epoch: [15][7100/14090]	Time 0.722 (0.766)	Data 0.001 (0.001)	Loss 2.5890 (2.7677)	Prec@1 35.156 (34.118)	Prec@5 68.750 (64.436)
Epoch: [15][7110/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.5881 (2.7677)	Prec@1 39.844 (34.120)	Prec@5 68.750 (64.438)
Epoch: [15][7120/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.4763 (2.7677)	Prec@1 39.844 (34.121)	Prec@5 67.969 (64.438)
Epoch: [15][7130/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.5990 (2.7677)	Prec@1 37.500 (34.121)	Prec@5 64.844 (64.437)
Epoch: [15][7140/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 3.0225 (2.7678)	Prec@1 25.000 (34.117)	Prec@5 56.250 (64.434)
Epoch: [15][7150/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.8149 (2.7677)	Prec@1 32.031 (34.120)	Prec@5 61.719 (64.435)
Epoch: [15][7160/14090]	Time 0.883 (0.766)	Data 0.001 (0.001)	Loss 2.7254 (2.7677)	Prec@1 29.688 (34.120)	Prec@5 66.406 (64.436)
Epoch: [15][7170/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.7127 (2.7676)	Prec@1 36.719 (34.119)	Prec@5 66.406 (64.440)
Epoch: [15][7180/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.9206 (2.7675)	Prec@1 32.031 (34.125)	Prec@5 60.156 (64.442)
Epoch: [15][7190/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.5624 (2.7676)	Prec@1 35.156 (34.122)	Prec@5 63.281 (64.440)
Epoch: [15][7200/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.5980 (2.7675)	Prec@1 35.938 (34.125)	Prec@5 69.531 (64.441)
Epoch: [15][7210/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.5056 (2.7674)	Prec@1 39.062 (34.125)	Prec@5 67.188 (64.442)
Epoch: [15][7220/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.7850 (2.7675)	Prec@1 38.281 (34.125)	Prec@5 61.719 (64.440)
Epoch: [15][7230/14090]	Time 0.866 (0.766)	Data 0.001 (0.001)	Loss 2.7143 (2.7675)	Prec@1 35.938 (34.124)	Prec@5 67.969 (64.440)
Epoch: [15][7240/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.4531 (2.7674)	Prec@1 38.281 (34.125)	Prec@5 67.188 (64.441)
Epoch: [15][7250/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.9583 (2.7674)	Prec@1 25.781 (34.125)	Prec@5 61.719 (64.443)
Epoch: [15][7260/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.9452 (2.7675)	Prec@1 35.156 (34.125)	Prec@5 62.500 (64.443)
Epoch: [15][7270/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.7797 (2.7675)	Prec@1 32.812 (34.124)	Prec@5 64.844 (64.442)
Epoch: [15][7280/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 2.7283 (2.7674)	Prec@1 32.812 (34.127)	Prec@5 64.062 (64.443)
Epoch: [15][7290/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.7236 (2.7674)	Prec@1 34.375 (34.124)	Prec@5 67.969 (64.442)
Epoch: [15][7300/14090]	Time 0.884 (0.766)	Data 0.001 (0.001)	Loss 2.7769 (2.7674)	Prec@1 31.250 (34.123)	Prec@5 60.938 (64.443)
Epoch: [15][7310/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 3.1421 (2.7674)	Prec@1 29.688 (34.125)	Prec@5 51.562 (64.443)
Epoch: [15][7320/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 2.6559 (2.7674)	Prec@1 38.281 (34.126)	Prec@5 68.750 (64.442)
Epoch: [15][7330/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.7141 (2.7673)	Prec@1 36.719 (34.126)	Prec@5 65.625 (64.443)
Epoch: [15][7340/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.8452 (2.7673)	Prec@1 33.594 (34.126)	Prec@5 66.406 (64.444)
Epoch: [15][7350/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 3.0486 (2.7673)	Prec@1 34.375 (34.122)	Prec@5 60.938 (64.445)
Epoch: [15][7360/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.6640 (2.7672)	Prec@1 35.938 (34.123)	Prec@5 62.500 (64.447)
Epoch: [15][7370/14090]	Time 0.857 (0.766)	Data 0.001 (0.001)	Loss 2.6183 (2.7671)	Prec@1 31.250 (34.123)	Prec@5 67.969 (64.451)
Epoch: [15][7380/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.5947 (2.7671)	Prec@1 35.156 (34.123)	Prec@5 65.625 (64.451)
Epoch: [15][7390/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 2.8801 (2.7671)	Prec@1 35.938 (34.120)	Prec@5 64.062 (64.449)
Epoch: [15][7400/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.6487 (2.7671)	Prec@1 37.500 (34.122)	Prec@5 65.625 (64.451)
Epoch: [15][7410/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 3.0596 (2.7670)	Prec@1 32.031 (34.123)	Prec@5 58.594 (64.451)
Epoch: [15][7420/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 2.8525 (2.7671)	Prec@1 34.375 (34.124)	Prec@5 61.719 (64.450)
Epoch: [15][7430/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 3.0499 (2.7671)	Prec@1 33.594 (34.123)	Prec@5 60.938 (64.449)
Epoch: [15][7440/14090]	Time 0.864 (0.766)	Data 0.001 (0.001)	Loss 2.8329 (2.7673)	Prec@1 26.562 (34.119)	Prec@5 60.156 (64.446)
Epoch: [15][7450/14090]	Time 0.779 (0.766)	Data 0.001 (0.001)	Loss 2.8707 (2.7673)	Prec@1 30.469 (34.118)	Prec@5 59.375 (64.445)
Epoch: [15][7460/14090]	Time 0.781 (0.766)	Data 0.001 (0.001)	Loss 2.6703 (2.7673)	Prec@1 33.594 (34.117)	Prec@5 63.281 (64.443)
Epoch: [15][7470/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.7082 (2.7674)	Prec@1 35.156 (34.117)	Prec@5 69.531 (64.443)
Epoch: [15][7480/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.6053 (2.7673)	Prec@1 39.062 (34.119)	Prec@5 64.062 (64.445)
Epoch: [15][7490/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.7834 (2.7673)	Prec@1 30.469 (34.119)	Prec@5 59.375 (64.445)
Epoch: [15][7500/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.8682 (2.7672)	Prec@1 31.250 (34.120)	Prec@5 60.156 (64.446)
Epoch: [15][7510/14090]	Time 0.896 (0.766)	Data 0.002 (0.001)	Loss 2.8479 (2.7673)	Prec@1 28.125 (34.118)	Prec@5 60.938 (64.445)
Epoch: [15][7520/14090]	Time 0.765 (0.766)	Data 0.001 (0.001)	Loss 2.4925 (2.7673)	Prec@1 40.625 (34.117)	Prec@5 69.531 (64.444)
Epoch: [15][7530/14090]	Time 0.771 (0.766)	Data 0.001 (0.001)	Loss 2.7757 (2.7673)	Prec@1 35.938 (34.118)	Prec@5 66.406 (64.443)
Epoch: [15][7540/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.5526 (2.7674)	Prec@1 34.375 (34.119)	Prec@5 69.531 (64.441)
Epoch: [15][7550/14090]	Time 0.737 (0.766)	Data 0.003 (0.001)	Loss 2.8005 (2.7674)	Prec@1 35.938 (34.119)	Prec@5 61.719 (64.441)
Epoch: [15][7560/14090]	Time 0.721 (0.766)	Data 0.001 (0.001)	Loss 3.0011 (2.7675)	Prec@1 25.781 (34.116)	Prec@5 65.625 (64.439)
Epoch: [15][7570/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.9553 (2.7675)	Prec@1 32.812 (34.117)	Prec@5 61.719 (64.440)
Epoch: [15][7580/14090]	Time 0.842 (0.766)	Data 0.001 (0.001)	Loss 2.7915 (2.7675)	Prec@1 34.375 (34.118)	Prec@5 59.375 (64.438)
Epoch: [15][7590/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.8334 (2.7674)	Prec@1 34.375 (34.119)	Prec@5 59.375 (64.439)
Epoch: [15][7600/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.8669 (2.7675)	Prec@1 33.594 (34.116)	Prec@5 62.500 (64.438)
Epoch: [15][7610/14090]	Time 0.754 (0.766)	Data 0.002 (0.001)	Loss 2.8075 (2.7675)	Prec@1 37.500 (34.118)	Prec@5 63.281 (64.437)
Epoch: [15][7620/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.6083 (2.7673)	Prec@1 33.594 (34.121)	Prec@5 71.094 (64.438)
Epoch: [15][7630/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.8321 (2.7673)	Prec@1 30.469 (34.121)	Prec@5 60.938 (64.436)
Epoch: [15][7640/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.9668 (2.7674)	Prec@1 32.031 (34.121)	Prec@5 57.812 (64.433)
Epoch: [15][7650/14090]	Time 0.884 (0.766)	Data 0.001 (0.001)	Loss 2.6317 (2.7674)	Prec@1 35.156 (34.118)	Prec@5 67.188 (64.433)
Epoch: [15][7660/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.8696 (2.7675)	Prec@1 35.156 (34.119)	Prec@5 60.156 (64.430)
Epoch: [15][7670/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.9381 (2.7675)	Prec@1 32.812 (34.120)	Prec@5 58.594 (64.431)
Epoch: [15][7680/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 3.0126 (2.7675)	Prec@1 30.469 (34.118)	Prec@5 58.594 (64.429)
Epoch: [15][7690/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.6688 (2.7676)	Prec@1 32.812 (34.116)	Prec@5 65.625 (64.428)
Epoch: [15][7700/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 2.8198 (2.7675)	Prec@1 29.688 (34.116)	Prec@5 64.844 (64.429)
Epoch: [15][7710/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 3.0010 (2.7674)	Prec@1 28.906 (34.117)	Prec@5 58.594 (64.432)
Epoch: [15][7720/14090]	Time 0.864 (0.766)	Data 0.001 (0.001)	Loss 2.9935 (2.7674)	Prec@1 35.156 (34.119)	Prec@5 59.375 (64.432)
Epoch: [15][7730/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.9189 (2.7676)	Prec@1 30.469 (34.116)	Prec@5 60.156 (64.429)
Epoch: [15][7740/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.5643 (2.7675)	Prec@1 35.156 (34.118)	Prec@5 67.969 (64.430)
Epoch: [15][7750/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.8168 (2.7676)	Prec@1 36.719 (34.116)	Prec@5 59.375 (64.428)
Epoch: [15][7760/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.7294 (2.7675)	Prec@1 29.688 (34.117)	Prec@5 63.281 (64.429)
Epoch: [15][7770/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.6829 (2.7675)	Prec@1 38.281 (34.116)	Prec@5 66.406 (64.432)
Epoch: [15][7780/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.5835 (2.7675)	Prec@1 36.719 (34.117)	Prec@5 69.531 (64.431)
Epoch: [15][7790/14090]	Time 0.847 (0.766)	Data 0.001 (0.001)	Loss 2.8567 (2.7675)	Prec@1 31.250 (34.114)	Prec@5 69.531 (64.432)
Epoch: [15][7800/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.7897 (2.7675)	Prec@1 33.594 (34.116)	Prec@5 63.281 (64.434)
Epoch: [15][7810/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.7404 (2.7673)	Prec@1 38.281 (34.119)	Prec@5 70.312 (64.438)
Epoch: [15][7820/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.7803 (2.7673)	Prec@1 36.719 (34.120)	Prec@5 65.625 (64.440)
Epoch: [15][7830/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.7379 (2.7674)	Prec@1 37.500 (34.118)	Prec@5 62.500 (64.439)
Epoch: [15][7840/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.8517 (2.7674)	Prec@1 34.375 (34.118)	Prec@5 63.281 (64.438)
Epoch: [15][7850/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.8823 (2.7675)	Prec@1 29.688 (34.117)	Prec@5 58.594 (64.437)
Epoch: [15][7860/14090]	Time 0.860 (0.766)	Data 0.001 (0.001)	Loss 2.8173 (2.7675)	Prec@1 32.812 (34.116)	Prec@5 60.156 (64.438)
Epoch: [15][7870/14090]	Time 0.771 (0.766)	Data 0.001 (0.001)	Loss 2.6208 (2.7675)	Prec@1 35.156 (34.117)	Prec@5 67.188 (64.438)
Epoch: [15][7880/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.7921 (2.7676)	Prec@1 35.156 (34.115)	Prec@5 65.625 (64.438)
Epoch: [15][7890/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.8695 (2.7677)	Prec@1 28.125 (34.113)	Prec@5 60.156 (64.437)
Epoch: [15][7900/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.7807 (2.7676)	Prec@1 34.375 (34.113)	Prec@5 64.062 (64.441)
Epoch: [15][7910/14090]	Time 0.772 (0.766)	Data 0.001 (0.001)	Loss 2.6631 (2.7676)	Prec@1 32.812 (34.115)	Prec@5 73.438 (64.441)
Epoch: [15][7920/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.3582 (2.7676)	Prec@1 42.188 (34.115)	Prec@5 72.656 (64.442)
Epoch: [15][7930/14090]	Time 0.828 (0.766)	Data 0.001 (0.001)	Loss 2.6926 (2.7676)	Prec@1 35.938 (34.113)	Prec@5 67.969 (64.440)
Epoch: [15][7940/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.9310 (2.7674)	Prec@1 33.594 (34.115)	Prec@5 57.031 (64.441)
Epoch: [15][7950/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.7392 (2.7674)	Prec@1 34.375 (34.112)	Prec@5 64.844 (64.443)
Epoch: [15][7960/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 2.9155 (2.7674)	Prec@1 32.031 (34.112)	Prec@5 62.500 (64.441)
Epoch: [15][7970/14090]	Time 0.773 (0.766)	Data 0.001 (0.001)	Loss 2.4903 (2.7673)	Prec@1 37.500 (34.115)	Prec@5 70.312 (64.442)
Epoch: [15][7980/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 2.9163 (2.7673)	Prec@1 32.812 (34.114)	Prec@5 61.719 (64.442)
Epoch: [15][7990/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.4789 (2.7673)	Prec@1 41.406 (34.116)	Prec@5 70.312 (64.442)
Epoch: [15][8000/14090]	Time 0.873 (0.766)	Data 0.001 (0.001)	Loss 2.6866 (2.7672)	Prec@1 39.062 (34.118)	Prec@5 63.281 (64.445)
Epoch: [15][8010/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.6380 (2.7672)	Prec@1 36.719 (34.116)	Prec@5 67.188 (64.446)
Epoch: [15][8020/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.6210 (2.7673)	Prec@1 34.375 (34.113)	Prec@5 66.406 (64.443)
Epoch: [15][8030/14090]	Time 0.771 (0.766)	Data 0.001 (0.001)	Loss 3.0061 (2.7673)	Prec@1 30.469 (34.113)	Prec@5 57.812 (64.444)
Epoch: [15][8040/14090]	Time 0.736 (0.766)	Data 0.002 (0.001)	Loss 2.9669 (2.7673)	Prec@1 28.906 (34.112)	Prec@5 61.719 (64.443)
Epoch: [15][8050/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.4787 (2.7673)	Prec@1 40.625 (34.112)	Prec@5 66.406 (64.443)
Epoch: [15][8060/14090]	Time 0.770 (0.766)	Data 0.001 (0.001)	Loss 2.7842 (2.7673)	Prec@1 28.906 (34.110)	Prec@5 64.062 (64.443)
Epoch: [15][8070/14090]	Time 0.879 (0.766)	Data 0.001 (0.001)	Loss 2.7309 (2.7673)	Prec@1 39.062 (34.112)	Prec@5 61.719 (64.443)
Epoch: [15][8080/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.8904 (2.7673)	Prec@1 33.594 (34.114)	Prec@5 64.062 (64.444)
Epoch: [15][8090/14090]	Time 0.762 (0.766)	Data 0.004 (0.001)	Loss 2.7669 (2.7672)	Prec@1 37.500 (34.117)	Prec@5 63.281 (64.445)
Epoch: [15][8100/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.5179 (2.7673)	Prec@1 37.500 (34.116)	Prec@5 66.406 (64.444)
Epoch: [15][8110/14090]	Time 0.792 (0.766)	Data 0.001 (0.001)	Loss 2.9703 (2.7673)	Prec@1 30.469 (34.114)	Prec@5 61.719 (64.444)
Epoch: [15][8120/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.7674 (2.7673)	Prec@1 31.250 (34.116)	Prec@5 59.375 (64.443)
Epoch: [15][8130/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.7538 (2.7673)	Prec@1 35.938 (34.116)	Prec@5 67.188 (64.443)
Epoch: [15][8140/14090]	Time 1.039 (0.766)	Data 0.001 (0.001)	Loss 2.8043 (2.7673)	Prec@1 33.594 (34.116)	Prec@5 63.281 (64.442)
Epoch: [15][8150/14090]	Time 0.757 (0.766)	Data 0.003 (0.001)	Loss 2.6795 (2.7672)	Prec@1 36.719 (34.117)	Prec@5 67.969 (64.444)
Epoch: [15][8160/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.9902 (2.7672)	Prec@1 30.469 (34.117)	Prec@5 63.281 (64.445)
Epoch: [15][8170/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 3.0269 (2.7673)	Prec@1 33.594 (34.116)	Prec@5 56.250 (64.442)
Epoch: [15][8180/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.5819 (2.7673)	Prec@1 42.969 (34.117)	Prec@5 67.969 (64.443)
Epoch: [15][8190/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.9539 (2.7674)	Prec@1 32.812 (34.116)	Prec@5 58.594 (64.440)
Epoch: [15][8200/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.5621 (2.7673)	Prec@1 39.062 (34.117)	Prec@5 67.969 (64.441)
Epoch: [15][8210/14090]	Time 0.852 (0.766)	Data 0.001 (0.001)	Loss 2.9172 (2.7675)	Prec@1 27.344 (34.115)	Prec@5 59.375 (64.438)
Epoch: [15][8220/14090]	Time 0.740 (0.766)	Data 0.002 (0.001)	Loss 2.8281 (2.7676)	Prec@1 35.156 (34.111)	Prec@5 63.281 (64.437)
Epoch: [15][8230/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.6594 (2.7676)	Prec@1 37.500 (34.112)	Prec@5 67.969 (64.437)
Epoch: [15][8240/14090]	Time 0.784 (0.766)	Data 0.001 (0.001)	Loss 2.8401 (2.7676)	Prec@1 35.156 (34.111)	Prec@5 64.062 (64.437)
Epoch: [15][8250/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.8537 (2.7677)	Prec@1 32.031 (34.110)	Prec@5 67.188 (64.436)
Epoch: [15][8260/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.7672 (2.7677)	Prec@1 32.031 (34.108)	Prec@5 64.062 (64.436)
Epoch: [15][8270/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.6166 (2.7676)	Prec@1 34.375 (34.106)	Prec@5 64.844 (64.436)
Epoch: [15][8280/14090]	Time 0.899 (0.766)	Data 0.001 (0.001)	Loss 2.5645 (2.7677)	Prec@1 35.938 (34.103)	Prec@5 71.875 (64.436)
Epoch: [15][8290/14090]	Time 0.804 (0.766)	Data 0.002 (0.001)	Loss 2.8875 (2.7677)	Prec@1 25.000 (34.102)	Prec@5 60.938 (64.436)
Epoch: [15][8300/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.7261 (2.7677)	Prec@1 38.281 (34.101)	Prec@5 67.188 (64.436)
Epoch: [15][8310/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.6080 (2.7677)	Prec@1 35.156 (34.102)	Prec@5 70.312 (64.436)
Epoch: [15][8320/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 3.1240 (2.7677)	Prec@1 28.906 (34.100)	Prec@5 57.812 (64.436)
Epoch: [15][8330/14090]	Time 0.765 (0.766)	Data 0.001 (0.001)	Loss 2.5860 (2.7677)	Prec@1 35.938 (34.098)	Prec@5 70.312 (64.437)
Epoch: [15][8340/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 2.6274 (2.7678)	Prec@1 41.406 (34.099)	Prec@5 66.406 (64.436)
Epoch: [15][8350/14090]	Time 0.855 (0.766)	Data 0.001 (0.001)	Loss 3.0411 (2.7679)	Prec@1 32.031 (34.098)	Prec@5 60.156 (64.433)
Epoch: [15][8360/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.7002 (2.7679)	Prec@1 36.719 (34.098)	Prec@5 60.156 (64.434)
Epoch: [15][8370/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 3.0637 (2.7679)	Prec@1 26.562 (34.098)	Prec@5 57.031 (64.435)
Epoch: [15][8380/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.8800 (2.7679)	Prec@1 32.031 (34.099)	Prec@5 63.281 (64.435)
Epoch: [15][8390/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.6627 (2.7679)	Prec@1 35.156 (34.098)	Prec@5 67.188 (64.435)
Epoch: [15][8400/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.8188 (2.7679)	Prec@1 32.812 (34.099)	Prec@5 63.281 (64.435)
Epoch: [15][8410/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.7260 (2.7679)	Prec@1 30.469 (34.099)	Prec@5 64.062 (64.435)
Epoch: [15][8420/14090]	Time 0.906 (0.766)	Data 0.001 (0.001)	Loss 2.6440 (2.7679)	Prec@1 37.500 (34.100)	Prec@5 63.281 (64.434)
Epoch: [15][8430/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.3655 (2.7678)	Prec@1 41.406 (34.101)	Prec@5 71.094 (64.436)
Epoch: [15][8440/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.5447 (2.7677)	Prec@1 37.500 (34.103)	Prec@5 67.969 (64.436)
Epoch: [15][8450/14090]	Time 0.722 (0.766)	Data 0.001 (0.001)	Loss 2.6180 (2.7678)	Prec@1 37.500 (34.102)	Prec@5 70.312 (64.436)
Epoch: [15][8460/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.9238 (2.7679)	Prec@1 32.031 (34.099)	Prec@5 60.938 (64.434)
Epoch: [15][8470/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.6115 (2.7679)	Prec@1 37.500 (34.101)	Prec@5 70.312 (64.435)
Epoch: [15][8480/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.9295 (2.7679)	Prec@1 27.344 (34.099)	Prec@5 59.375 (64.434)
Epoch: [15][8490/14090]	Time 0.873 (0.766)	Data 0.001 (0.001)	Loss 2.6225 (2.7679)	Prec@1 35.156 (34.098)	Prec@5 67.969 (64.437)
Epoch: [15][8500/14090]	Time 0.768 (0.766)	Data 0.001 (0.001)	Loss 2.7246 (2.7678)	Prec@1 34.375 (34.100)	Prec@5 69.531 (64.437)
Epoch: [15][8510/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.8573 (2.7678)	Prec@1 32.031 (34.099)	Prec@5 59.375 (64.436)
Epoch: [15][8520/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.5836 (2.7678)	Prec@1 34.375 (34.098)	Prec@5 67.188 (64.436)
Epoch: [15][8530/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.5741 (2.7679)	Prec@1 39.844 (34.097)	Prec@5 67.188 (64.437)
Epoch: [15][8540/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 2.8576 (2.7679)	Prec@1 32.812 (34.099)	Prec@5 63.281 (64.436)
Epoch: [15][8550/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.6668 (2.7681)	Prec@1 32.812 (34.093)	Prec@5 64.062 (64.434)
Epoch: [15][8560/14090]	Time 0.865 (0.766)	Data 0.001 (0.001)	Loss 2.6721 (2.7680)	Prec@1 32.812 (34.093)	Prec@5 66.406 (64.435)
Epoch: [15][8570/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.9250 (2.7679)	Prec@1 31.250 (34.093)	Prec@5 60.156 (64.435)
Epoch: [15][8580/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.9430 (2.7680)	Prec@1 29.688 (34.094)	Prec@5 65.625 (64.437)
Epoch: [15][8590/14090]	Time 0.789 (0.766)	Data 0.001 (0.001)	Loss 2.5985 (2.7680)	Prec@1 42.188 (34.095)	Prec@5 70.312 (64.438)
Epoch: [15][8600/14090]	Time 0.765 (0.766)	Data 0.001 (0.001)	Loss 2.8494 (2.7681)	Prec@1 35.156 (34.093)	Prec@5 62.500 (64.437)
Epoch: [15][8610/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.9625 (2.7680)	Prec@1 30.469 (34.093)	Prec@5 62.500 (64.439)
Epoch: [15][8620/14090]	Time 0.780 (0.766)	Data 0.001 (0.001)	Loss 2.7600 (2.7680)	Prec@1 34.375 (34.095)	Prec@5 63.281 (64.439)
Epoch: [15][8630/14090]	Time 0.877 (0.766)	Data 0.001 (0.001)	Loss 2.7343 (2.7680)	Prec@1 33.594 (34.094)	Prec@5 64.844 (64.440)
Epoch: [15][8640/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.5849 (2.7679)	Prec@1 37.500 (34.096)	Prec@5 70.312 (64.443)
Epoch: [15][8650/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.7818 (2.7680)	Prec@1 36.719 (34.096)	Prec@5 64.062 (64.442)
Epoch: [15][8660/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.8629 (2.7680)	Prec@1 32.812 (34.097)	Prec@5 63.281 (64.444)
Epoch: [15][8670/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.6791 (2.7680)	Prec@1 36.719 (34.098)	Prec@5 65.625 (64.444)
Epoch: [15][8680/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.9997 (2.7679)	Prec@1 30.469 (34.098)	Prec@5 63.281 (64.445)
Epoch: [15][8690/14090]	Time 0.774 (0.766)	Data 0.001 (0.001)	Loss 3.2105 (2.7679)	Prec@1 30.469 (34.098)	Prec@5 57.031 (64.444)
Epoch: [15][8700/14090]	Time 0.872 (0.766)	Data 0.001 (0.001)	Loss 2.8483 (2.7679)	Prec@1 38.281 (34.100)	Prec@5 61.719 (64.445)
Epoch: [15][8710/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.8771 (2.7678)	Prec@1 37.500 (34.099)	Prec@5 61.719 (64.447)
Epoch: [15][8720/14090]	Time 0.779 (0.766)	Data 0.001 (0.001)	Loss 2.8476 (2.7678)	Prec@1 31.250 (34.099)	Prec@5 64.062 (64.446)
Epoch: [15][8730/14090]	Time 0.767 (0.766)	Data 0.001 (0.001)	Loss 2.8871 (2.7678)	Prec@1 27.344 (34.097)	Prec@5 62.500 (64.447)
Epoch: [15][8740/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.8706 (2.7678)	Prec@1 33.594 (34.097)	Prec@5 62.500 (64.447)
Epoch: [15][8750/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.8237 (2.7677)	Prec@1 33.594 (34.097)	Prec@5 64.062 (64.448)
Epoch: [15][8760/14090]	Time 0.767 (0.766)	Data 0.001 (0.001)	Loss 2.7303 (2.7677)	Prec@1 34.375 (34.099)	Prec@5 67.969 (64.449)
Epoch: [15][8770/14090]	Time 0.865 (0.766)	Data 0.001 (0.001)	Loss 2.5613 (2.7677)	Prec@1 41.406 (34.099)	Prec@5 68.750 (64.449)
Epoch: [15][8780/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.7985 (2.7677)	Prec@1 31.250 (34.096)	Prec@5 64.844 (64.448)
Epoch: [15][8790/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.9451 (2.7677)	Prec@1 29.688 (34.094)	Prec@5 61.719 (64.447)
Epoch: [15][8800/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 2.6477 (2.7677)	Prec@1 33.594 (34.094)	Prec@5 67.969 (64.449)
Epoch: [15][8810/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.5797 (2.7678)	Prec@1 37.500 (34.092)	Prec@5 66.406 (64.449)
Epoch: [15][8820/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.6820 (2.7679)	Prec@1 37.500 (34.091)	Prec@5 63.281 (64.447)
Epoch: [15][8830/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 3.0442 (2.7679)	Prec@1 31.250 (34.090)	Prec@5 60.156 (64.446)
Epoch: [15][8840/14090]	Time 0.894 (0.766)	Data 0.001 (0.001)	Loss 2.8319 (2.7679)	Prec@1 34.375 (34.089)	Prec@5 64.844 (64.444)
Epoch: [15][8850/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 3.0800 (2.7680)	Prec@1 32.812 (34.089)	Prec@5 63.281 (64.444)
Epoch: [15][8860/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.6648 (2.7679)	Prec@1 36.719 (34.093)	Prec@5 66.406 (64.447)
Epoch: [15][8870/14090]	Time 0.754 (0.766)	Data 0.003 (0.001)	Loss 2.6326 (2.7679)	Prec@1 36.719 (34.095)	Prec@5 70.312 (64.449)
Epoch: [15][8880/14090]	Time 0.775 (0.766)	Data 0.001 (0.001)	Loss 2.7591 (2.7679)	Prec@1 31.250 (34.093)	Prec@5 67.188 (64.448)
Epoch: [15][8890/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 3.0845 (2.7680)	Prec@1 25.781 (34.092)	Prec@5 57.812 (64.448)
Epoch: [15][8900/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.7382 (2.7681)	Prec@1 36.719 (34.089)	Prec@5 60.156 (64.445)
Epoch: [15][8910/14090]	Time 0.878 (0.766)	Data 0.001 (0.001)	Loss 2.5934 (2.7680)	Prec@1 32.812 (34.089)	Prec@5 68.750 (64.447)
Epoch: [15][8920/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.7708 (2.7681)	Prec@1 29.688 (34.085)	Prec@5 63.281 (64.446)
Epoch: [15][8930/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.7638 (2.7680)	Prec@1 35.156 (34.087)	Prec@5 65.625 (64.448)
Epoch: [15][8940/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 2.9795 (2.7680)	Prec@1 28.125 (34.088)	Prec@5 58.594 (64.449)
Epoch: [15][8950/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.5317 (2.7679)	Prec@1 40.625 (34.088)	Prec@5 69.531 (64.449)
Epoch: [15][8960/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.8516 (2.7681)	Prec@1 31.250 (34.086)	Prec@5 58.594 (64.446)
Epoch: [15][8970/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.5814 (2.7681)	Prec@1 35.156 (34.085)	Prec@5 67.188 (64.445)
Epoch: [15][8980/14090]	Time 0.893 (0.766)	Data 0.001 (0.001)	Loss 2.7393 (2.7681)	Prec@1 32.812 (34.088)	Prec@5 64.062 (64.447)
Epoch: [15][8990/14090]	Time 0.749 (0.766)	Data 0.002 (0.001)	Loss 2.6448 (2.7682)	Prec@1 40.625 (34.087)	Prec@5 61.719 (64.445)
Epoch: [15][9000/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 3.0780 (2.7683)	Prec@1 26.562 (34.084)	Prec@5 58.594 (64.442)
Epoch: [15][9010/14090]	Time 0.783 (0.766)	Data 0.001 (0.001)	Loss 2.7700 (2.7683)	Prec@1 35.938 (34.085)	Prec@5 66.406 (64.442)
Epoch: [15][9020/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 2.8706 (2.7684)	Prec@1 33.594 (34.082)	Prec@5 62.500 (64.440)
Epoch: [15][9030/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.9822 (2.7683)	Prec@1 32.812 (34.084)	Prec@5 60.156 (64.441)
Epoch: [15][9040/14090]	Time 0.779 (0.766)	Data 0.001 (0.001)	Loss 3.0649 (2.7683)	Prec@1 24.219 (34.083)	Prec@5 56.250 (64.441)
Epoch: [15][9050/14090]	Time 0.870 (0.766)	Data 0.001 (0.001)	Loss 2.6934 (2.7683)	Prec@1 32.031 (34.083)	Prec@5 67.969 (64.442)
Epoch: [15][9060/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.4016 (2.7682)	Prec@1 42.188 (34.084)	Prec@5 73.438 (64.442)
Epoch: [15][9070/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 2.8236 (2.7683)	Prec@1 33.594 (34.085)	Prec@5 61.719 (64.441)
Epoch: [15][9080/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.9659 (2.7682)	Prec@1 31.250 (34.084)	Prec@5 62.500 (64.443)
Epoch: [15][9090/14090]	Time 0.771 (0.766)	Data 0.001 (0.001)	Loss 2.7840 (2.7682)	Prec@1 35.938 (34.085)	Prec@5 64.844 (64.444)
Epoch: [15][9100/14090]	Time 0.767 (0.766)	Data 0.001 (0.001)	Loss 2.4060 (2.7681)	Prec@1 42.969 (34.087)	Prec@5 71.094 (64.444)
Epoch: [15][9110/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.7322 (2.7681)	Prec@1 40.625 (34.086)	Prec@5 69.531 (64.444)
Epoch: [15][9120/14090]	Time 0.842 (0.766)	Data 0.001 (0.001)	Loss 3.0293 (2.7681)	Prec@1 32.812 (34.087)	Prec@5 61.719 (64.446)
Epoch: [15][9130/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 2.6865 (2.7681)	Prec@1 37.500 (34.088)	Prec@5 64.062 (64.444)
Epoch: [15][9140/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.8460 (2.7681)	Prec@1 31.250 (34.088)	Prec@5 64.062 (64.445)
Epoch: [15][9150/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.8034 (2.7681)	Prec@1 37.500 (34.087)	Prec@5 65.625 (64.446)
Epoch: [15][9160/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.8275 (2.7680)	Prec@1 30.469 (34.088)	Prec@5 64.062 (64.446)
Epoch: [15][9170/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.6146 (2.7681)	Prec@1 36.719 (34.087)	Prec@5 64.062 (64.446)
Epoch: [15][9180/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.3863 (2.7680)	Prec@1 39.062 (34.088)	Prec@5 76.562 (64.447)
Epoch: [15][9190/14090]	Time 0.822 (0.766)	Data 0.001 (0.001)	Loss 3.0787 (2.7680)	Prec@1 28.125 (34.089)	Prec@5 57.812 (64.446)
Epoch: [15][9200/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.9166 (2.7680)	Prec@1 30.469 (34.090)	Prec@5 58.594 (64.446)
Epoch: [15][9210/14090]	Time 0.765 (0.766)	Data 0.001 (0.001)	Loss 2.8207 (2.7680)	Prec@1 32.812 (34.091)	Prec@5 64.062 (64.446)
Epoch: [15][9220/14090]	Time 0.765 (0.766)	Data 0.001 (0.001)	Loss 2.6063 (2.7680)	Prec@1 36.719 (34.092)	Prec@5 65.625 (64.443)
Epoch: [15][9230/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.5290 (2.7680)	Prec@1 39.062 (34.094)	Prec@5 71.094 (64.443)
Epoch: [15][9240/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.8671 (2.7680)	Prec@1 35.156 (34.093)	Prec@5 65.625 (64.443)
Epoch: [15][9250/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.8308 (2.7680)	Prec@1 36.719 (34.095)	Prec@5 62.500 (64.444)
Epoch: [15][9260/14090]	Time 0.849 (0.766)	Data 0.001 (0.001)	Loss 2.7795 (2.7680)	Prec@1 36.719 (34.095)	Prec@5 63.281 (64.443)
Epoch: [15][9270/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.6970 (2.7681)	Prec@1 32.031 (34.096)	Prec@5 65.625 (64.441)
Epoch: [15][9280/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.8808 (2.7682)	Prec@1 36.719 (34.096)	Prec@5 60.938 (64.439)
Epoch: [15][9290/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 3.1013 (2.7683)	Prec@1 28.125 (34.094)	Prec@5 59.375 (64.437)
Epoch: [15][9300/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.4610 (2.7682)	Prec@1 41.406 (34.095)	Prec@5 68.750 (64.438)
Epoch: [15][9310/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.8725 (2.7682)	Prec@1 32.812 (34.096)	Prec@5 57.812 (64.436)
Epoch: [15][9320/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.9248 (2.7682)	Prec@1 35.156 (34.096)	Prec@5 62.500 (64.435)
Epoch: [15][9330/14090]	Time 0.885 (0.766)	Data 0.001 (0.001)	Loss 2.5524 (2.7682)	Prec@1 32.812 (34.096)	Prec@5 68.750 (64.436)
Epoch: [15][9340/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.9773 (2.7682)	Prec@1 31.250 (34.096)	Prec@5 59.375 (64.435)
Epoch: [15][9350/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.6183 (2.7681)	Prec@1 35.156 (34.096)	Prec@5 66.406 (64.437)
Epoch: [15][9360/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 2.7549 (2.7681)	Prec@1 35.938 (34.097)	Prec@5 60.938 (64.438)
Epoch: [15][9370/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 2.9728 (2.7681)	Prec@1 32.031 (34.097)	Prec@5 57.812 (64.437)
Epoch: [15][9380/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.7447 (2.7682)	Prec@1 36.719 (34.098)	Prec@5 63.281 (64.435)
Epoch: [15][9390/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.6240 (2.7681)	Prec@1 41.406 (34.099)	Prec@5 66.406 (64.437)
Epoch: [15][9400/14090]	Time 0.900 (0.766)	Data 0.001 (0.001)	Loss 3.0229 (2.7681)	Prec@1 28.125 (34.099)	Prec@5 59.375 (64.435)
Epoch: [15][9410/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.8321 (2.7682)	Prec@1 34.375 (34.100)	Prec@5 61.719 (64.434)
Epoch: [15][9420/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.5504 (2.7681)	Prec@1 38.281 (34.101)	Prec@5 67.188 (64.435)
Epoch: [15][9430/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.8840 (2.7681)	Prec@1 29.688 (34.101)	Prec@5 62.500 (64.435)
Epoch: [15][9440/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 2.8530 (2.7681)	Prec@1 31.250 (34.103)	Prec@5 64.062 (64.435)
Epoch: [15][9450/14090]	Time 0.777 (0.766)	Data 0.001 (0.001)	Loss 2.8541 (2.7682)	Prec@1 35.156 (34.103)	Prec@5 62.500 (64.433)
Epoch: [15][9460/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.6523 (2.7683)	Prec@1 35.938 (34.102)	Prec@5 65.625 (64.432)
Epoch: [15][9470/14090]	Time 0.872 (0.766)	Data 0.001 (0.001)	Loss 2.5715 (2.7682)	Prec@1 38.281 (34.103)	Prec@5 66.406 (64.435)
Epoch: [15][9480/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.8364 (2.7682)	Prec@1 39.062 (34.103)	Prec@5 56.250 (64.433)
Epoch: [15][9490/14090]	Time 0.770 (0.766)	Data 0.001 (0.001)	Loss 2.7396 (2.7682)	Prec@1 37.500 (34.102)	Prec@5 64.062 (64.433)
Epoch: [15][9500/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.7710 (2.7683)	Prec@1 38.281 (34.101)	Prec@5 62.500 (64.431)
Epoch: [15][9510/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 2.4458 (2.7683)	Prec@1 42.969 (34.102)	Prec@5 67.188 (64.430)
Epoch: [15][9520/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 3.0302 (2.7683)	Prec@1 28.906 (34.101)	Prec@5 64.062 (64.431)
Epoch: [15][9530/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.6586 (2.7683)	Prec@1 37.500 (34.104)	Prec@5 66.406 (64.431)
Epoch: [15][9540/14090]	Time 0.849 (0.766)	Data 0.001 (0.001)	Loss 2.7106 (2.7683)	Prec@1 30.469 (34.102)	Prec@5 67.969 (64.433)
Epoch: [15][9550/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.6099 (2.7683)	Prec@1 38.281 (34.104)	Prec@5 63.281 (64.433)
Epoch: [15][9560/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 3.0405 (2.7682)	Prec@1 32.812 (34.106)	Prec@5 61.719 (64.435)
Epoch: [15][9570/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 2.7188 (2.7680)	Prec@1 35.156 (34.107)	Prec@5 70.312 (64.436)
Epoch: [15][9580/14090]	Time 0.765 (0.766)	Data 0.001 (0.001)	Loss 2.8880 (2.7680)	Prec@1 34.375 (34.108)	Prec@5 63.281 (64.435)
Epoch: [15][9590/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.6887 (2.7680)	Prec@1 33.594 (34.109)	Prec@5 66.406 (64.435)
Epoch: [15][9600/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 2.6581 (2.7680)	Prec@1 35.156 (34.108)	Prec@5 70.312 (64.436)
Epoch: [15][9610/14090]	Time 0.926 (0.766)	Data 0.001 (0.001)	Loss 2.6875 (2.7681)	Prec@1 29.688 (34.107)	Prec@5 67.969 (64.435)
Epoch: [15][9620/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 2.6599 (2.7682)	Prec@1 33.594 (34.107)	Prec@5 68.750 (64.434)
Epoch: [15][9630/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.6443 (2.7682)	Prec@1 32.812 (34.105)	Prec@5 68.750 (64.434)
Epoch: [15][9640/14090]	Time 0.781 (0.766)	Data 0.001 (0.001)	Loss 2.9306 (2.7682)	Prec@1 34.375 (34.107)	Prec@5 62.500 (64.432)
Epoch: [15][9650/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.5877 (2.7682)	Prec@1 36.719 (34.107)	Prec@5 70.312 (64.433)
Epoch: [15][9660/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.8679 (2.7683)	Prec@1 35.156 (34.106)	Prec@5 66.406 (64.433)
Epoch: [15][9670/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.5743 (2.7683)	Prec@1 34.375 (34.104)	Prec@5 69.531 (64.431)
Epoch: [15][9680/14090]	Time 0.856 (0.766)	Data 0.001 (0.001)	Loss 2.8560 (2.7684)	Prec@1 36.719 (34.102)	Prec@5 66.406 (64.429)
Epoch: [15][9690/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 3.1587 (2.7684)	Prec@1 28.906 (34.102)	Prec@5 60.156 (64.431)
Epoch: [15][9700/14090]	Time 0.744 (0.766)	Data 0.002 (0.001)	Loss 2.9898 (2.7684)	Prec@1 33.594 (34.101)	Prec@5 60.938 (64.430)
Epoch: [15][9710/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 3.0410 (2.7686)	Prec@1 29.688 (34.100)	Prec@5 63.281 (64.428)
Epoch: [15][9720/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.9026 (2.7687)	Prec@1 32.031 (34.099)	Prec@5 58.594 (64.424)
Epoch: [15][9730/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.7897 (2.7687)	Prec@1 32.031 (34.101)	Prec@5 63.281 (64.424)
Epoch: [15][9740/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.5246 (2.7686)	Prec@1 39.844 (34.103)	Prec@5 69.531 (64.425)
Epoch: [15][9750/14090]	Time 0.846 (0.766)	Data 0.001 (0.001)	Loss 2.7860 (2.7687)	Prec@1 28.906 (34.099)	Prec@5 65.625 (64.423)
Epoch: [15][9760/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.7628 (2.7687)	Prec@1 35.938 (34.100)	Prec@5 69.531 (64.425)
Epoch: [15][9770/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 2.6949 (2.7687)	Prec@1 34.375 (34.098)	Prec@5 68.750 (64.425)
Epoch: [15][9780/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.5738 (2.7687)	Prec@1 42.188 (34.101)	Prec@5 69.531 (64.424)
Epoch: [15][9790/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.7284 (2.7687)	Prec@1 35.156 (34.099)	Prec@5 67.188 (64.422)
Epoch: [15][9800/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.9574 (2.7688)	Prec@1 31.250 (34.098)	Prec@5 63.281 (64.420)
Epoch: [15][9810/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.7520 (2.7689)	Prec@1 37.500 (34.098)	Prec@5 61.719 (64.418)
Epoch: [15][9820/14090]	Time 0.866 (0.766)	Data 0.001 (0.001)	Loss 2.8705 (2.7689)	Prec@1 34.375 (34.099)	Prec@5 65.625 (64.416)
Epoch: [15][9830/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.6607 (2.7689)	Prec@1 35.938 (34.099)	Prec@5 66.406 (64.417)
Epoch: [15][9840/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.8471 (2.7690)	Prec@1 32.031 (34.098)	Prec@5 60.938 (64.415)
Epoch: [15][9850/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.8121 (2.7690)	Prec@1 38.281 (34.100)	Prec@5 64.844 (64.415)
Epoch: [15][9860/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.6006 (2.7690)	Prec@1 35.938 (34.101)	Prec@5 67.969 (64.415)
Epoch: [15][9870/14090]	Time 0.770 (0.766)	Data 0.001 (0.001)	Loss 2.7322 (2.7690)	Prec@1 39.844 (34.102)	Prec@5 64.062 (64.416)
Epoch: [15][9880/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.9958 (2.7690)	Prec@1 28.125 (34.101)	Prec@5 61.719 (64.415)
Epoch: [15][9890/14090]	Time 0.876 (0.766)	Data 0.001 (0.001)	Loss 2.9570 (2.7692)	Prec@1 28.906 (34.097)	Prec@5 60.938 (64.413)
Epoch: [15][9900/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.9628 (2.7693)	Prec@1 28.906 (34.094)	Prec@5 64.062 (64.411)
Epoch: [15][9910/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.7389 (2.7693)	Prec@1 30.469 (34.093)	Prec@5 67.188 (64.412)
Epoch: [15][9920/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.6295 (2.7693)	Prec@1 35.156 (34.092)	Prec@5 66.406 (64.413)
Epoch: [15][9930/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.9427 (2.7694)	Prec@1 31.250 (34.091)	Prec@5 61.719 (64.412)
Epoch: [15][9940/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.7938 (2.7694)	Prec@1 32.031 (34.089)	Prec@5 64.844 (64.412)
Epoch: [15][9950/14090]	Time 0.778 (0.766)	Data 0.001 (0.001)	Loss 2.4716 (2.7694)	Prec@1 39.844 (34.088)	Prec@5 68.750 (64.414)
Epoch: [15][9960/14090]	Time 0.829 (0.766)	Data 0.001 (0.001)	Loss 2.7086 (2.7694)	Prec@1 33.594 (34.087)	Prec@5 70.312 (64.415)
Epoch: [15][9970/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.7878 (2.7694)	Prec@1 31.250 (34.087)	Prec@5 63.281 (64.414)
Epoch: [15][9980/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.6757 (2.7693)	Prec@1 39.844 (34.089)	Prec@5 65.625 (64.414)
Epoch: [15][9990/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.7354 (2.7693)	Prec@1 34.375 (34.091)	Prec@5 64.844 (64.415)
Epoch: [15][10000/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.9479 (2.7693)	Prec@1 32.031 (34.090)	Prec@5 60.156 (64.416)
Epoch: [15][10010/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 2.8652 (2.7693)	Prec@1 28.125 (34.089)	Prec@5 62.500 (64.418)
Epoch: [15][10020/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.9336 (2.7692)	Prec@1 32.812 (34.092)	Prec@5 58.594 (64.418)
Epoch: [15][10030/14090]	Time 0.835 (0.766)	Data 0.001 (0.001)	Loss 2.7166 (2.7693)	Prec@1 34.375 (34.092)	Prec@5 64.844 (64.416)
Epoch: [15][10040/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.8075 (2.7693)	Prec@1 28.125 (34.090)	Prec@5 66.406 (64.416)
Epoch: [15][10050/14090]	Time 0.770 (0.766)	Data 0.001 (0.001)	Loss 2.5853 (2.7693)	Prec@1 32.812 (34.089)	Prec@5 65.625 (64.418)
Epoch: [15][10060/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 2.6508 (2.7693)	Prec@1 32.812 (34.089)	Prec@5 64.844 (64.417)
Epoch: [15][10070/14090]	Time 0.772 (0.766)	Data 0.001 (0.001)	Loss 2.8245 (2.7693)	Prec@1 33.594 (34.091)	Prec@5 64.062 (64.417)
Epoch: [15][10080/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.7031 (2.7693)	Prec@1 35.938 (34.089)	Prec@5 62.500 (64.416)
Epoch: [15][10090/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.9837 (2.7693)	Prec@1 30.469 (34.090)	Prec@5 58.594 (64.416)
Epoch: [15][10100/14090]	Time 0.864 (0.766)	Data 0.001 (0.001)	Loss 2.8899 (2.7694)	Prec@1 30.469 (34.090)	Prec@5 60.938 (64.415)
Epoch: [15][10110/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.8209 (2.7694)	Prec@1 30.469 (34.089)	Prec@5 63.281 (64.415)
Epoch: [15][10120/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 2.5894 (2.7694)	Prec@1 44.531 (34.090)	Prec@5 71.875 (64.416)
Epoch: [15][10130/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.5744 (2.7694)	Prec@1 38.281 (34.091)	Prec@5 67.969 (64.416)
Epoch: [15][10140/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.4870 (2.7693)	Prec@1 35.156 (34.091)	Prec@5 67.969 (64.417)
Epoch: [15][10150/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.5826 (2.7694)	Prec@1 37.500 (34.090)	Prec@5 65.625 (64.415)
Epoch: [15][10160/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 3.0896 (2.7694)	Prec@1 29.688 (34.089)	Prec@5 61.719 (64.414)
Epoch: [15][10170/14090]	Time 0.856 (0.766)	Data 0.001 (0.001)	Loss 2.9858 (2.7695)	Prec@1 31.250 (34.088)	Prec@5 57.812 (64.414)
Epoch: [15][10180/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.8339 (2.7694)	Prec@1 37.500 (34.089)	Prec@5 63.281 (64.417)
Epoch: [15][10190/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.7585 (2.7693)	Prec@1 29.688 (34.089)	Prec@5 64.062 (64.418)
Epoch: [15][10200/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 3.0987 (2.7694)	Prec@1 26.562 (34.085)	Prec@5 53.125 (64.414)
Epoch: [15][10210/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.7325 (2.7695)	Prec@1 31.250 (34.084)	Prec@5 61.719 (64.415)
Epoch: [15][10220/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.5628 (2.7695)	Prec@1 40.625 (34.084)	Prec@5 66.406 (64.414)
Epoch: [15][10230/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.7231 (2.7695)	Prec@1 29.688 (34.082)	Prec@5 68.750 (64.416)
Epoch: [15][10240/14090]	Time 0.844 (0.766)	Data 0.001 (0.001)	Loss 2.6360 (2.7694)	Prec@1 33.594 (34.083)	Prec@5 64.062 (64.417)
Epoch: [15][10250/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.9589 (2.7694)	Prec@1 28.125 (34.083)	Prec@5 57.812 (64.418)
Epoch: [15][10260/14090]	Time 0.776 (0.766)	Data 0.001 (0.001)	Loss 2.9194 (2.7694)	Prec@1 35.938 (34.084)	Prec@5 61.719 (64.417)
Epoch: [15][10270/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.8393 (2.7695)	Prec@1 33.594 (34.082)	Prec@5 61.719 (64.416)
Epoch: [15][10280/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.9859 (2.7695)	Prec@1 31.250 (34.081)	Prec@5 63.281 (64.416)
Epoch: [15][10290/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.7243 (2.7695)	Prec@1 34.375 (34.082)	Prec@5 67.188 (64.417)
Epoch: [15][10300/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.6495 (2.7694)	Prec@1 35.156 (34.084)	Prec@5 64.062 (64.417)
Epoch: [15][10310/14090]	Time 0.853 (0.766)	Data 0.001 (0.001)	Loss 2.6243 (2.7694)	Prec@1 35.156 (34.081)	Prec@5 63.281 (64.417)
Epoch: [15][10320/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.8443 (2.7694)	Prec@1 30.469 (34.081)	Prec@5 66.406 (64.418)
Epoch: [15][10330/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.7347 (2.7693)	Prec@1 35.938 (34.083)	Prec@5 64.844 (64.419)
Epoch: [15][10340/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 3.0231 (2.7694)	Prec@1 28.125 (34.083)	Prec@5 60.938 (64.419)
Epoch: [15][10350/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.6240 (2.7693)	Prec@1 38.281 (34.087)	Prec@5 68.750 (64.419)
Epoch: [15][10360/14090]	Time 0.723 (0.766)	Data 0.001 (0.001)	Loss 2.6860 (2.7693)	Prec@1 39.844 (34.086)	Prec@5 67.969 (64.419)
Epoch: [15][10370/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.8359 (2.7693)	Prec@1 29.688 (34.086)	Prec@5 65.625 (64.420)
Epoch: [15][10380/14090]	Time 0.868 (0.766)	Data 0.001 (0.001)	Loss 2.8895 (2.7693)	Prec@1 26.562 (34.084)	Prec@5 60.938 (64.421)
Epoch: [15][10390/14090]	Time 0.722 (0.766)	Data 0.001 (0.001)	Loss 2.5616 (2.7693)	Prec@1 35.156 (34.083)	Prec@5 66.406 (64.421)
Epoch: [15][10400/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 3.1595 (2.7693)	Prec@1 27.344 (34.082)	Prec@5 52.344 (64.421)
Epoch: [15][10410/14090]	Time 0.781 (0.766)	Data 0.001 (0.001)	Loss 2.9626 (2.7693)	Prec@1 28.125 (34.081)	Prec@5 58.594 (64.421)
Epoch: [15][10420/14090]	Time 0.774 (0.766)	Data 0.001 (0.001)	Loss 2.6656 (2.7693)	Prec@1 42.188 (34.082)	Prec@5 65.625 (64.421)
Epoch: [15][10430/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.9304 (2.7694)	Prec@1 34.375 (34.081)	Prec@5 57.812 (64.417)
Epoch: [15][10440/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.7281 (2.7695)	Prec@1 35.156 (34.079)	Prec@5 64.844 (64.416)
Epoch: [15][10450/14090]	Time 0.876 (0.766)	Data 0.001 (0.001)	Loss 2.6397 (2.7695)	Prec@1 35.938 (34.079)	Prec@5 67.969 (64.415)
Epoch: [15][10460/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.4885 (2.7694)	Prec@1 42.188 (34.082)	Prec@5 67.188 (64.415)
Epoch: [15][10470/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 3.0194 (2.7695)	Prec@1 28.125 (34.081)	Prec@5 57.812 (64.414)
Epoch: [15][10480/14090]	Time 0.776 (0.766)	Data 0.001 (0.001)	Loss 2.6576 (2.7695)	Prec@1 36.719 (34.080)	Prec@5 71.094 (64.415)
Epoch: [15][10490/14090]	Time 0.778 (0.766)	Data 0.001 (0.001)	Loss 2.8375 (2.7695)	Prec@1 35.156 (34.078)	Prec@5 63.281 (64.412)
Epoch: [15][10500/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.9705 (2.7695)	Prec@1 30.469 (34.080)	Prec@5 60.156 (64.413)
Epoch: [15][10510/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.7319 (2.7695)	Prec@1 37.500 (34.078)	Prec@5 67.188 (64.414)
Epoch: [15][10520/14090]	Time 0.864 (0.766)	Data 0.001 (0.001)	Loss 2.6706 (2.7694)	Prec@1 36.719 (34.078)	Prec@5 67.188 (64.413)
Epoch: [15][10530/14090]	Time 0.773 (0.766)	Data 0.001 (0.001)	Loss 2.6717 (2.7693)	Prec@1 35.156 (34.080)	Prec@5 72.656 (64.415)
Epoch: [15][10540/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.7308 (2.7694)	Prec@1 31.250 (34.080)	Prec@5 66.406 (64.414)
Epoch: [15][10550/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.8326 (2.7694)	Prec@1 30.469 (34.079)	Prec@5 62.500 (64.415)
Epoch: [15][10560/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.9511 (2.7695)	Prec@1 34.375 (34.078)	Prec@5 65.625 (64.414)
Epoch: [15][10570/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.7084 (2.7694)	Prec@1 35.938 (34.079)	Prec@5 69.531 (64.415)
Epoch: [15][10580/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.9602 (2.7693)	Prec@1 32.812 (34.080)	Prec@5 59.375 (64.417)
Epoch: [15][10590/14090]	Time 0.816 (0.766)	Data 0.001 (0.001)	Loss 2.6067 (2.7693)	Prec@1 37.500 (34.081)	Prec@5 64.844 (64.417)
Epoch: [15][10600/14090]	Time 0.778 (0.766)	Data 0.001 (0.001)	Loss 2.9330 (2.7693)	Prec@1 31.250 (34.082)	Prec@5 63.281 (64.418)
Epoch: [15][10610/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.8435 (2.7693)	Prec@1 35.938 (34.083)	Prec@5 67.188 (64.418)
Epoch: [15][10620/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.6588 (2.7693)	Prec@1 35.156 (34.083)	Prec@5 65.625 (64.418)
Epoch: [15][10630/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.8642 (2.7694)	Prec@1 32.812 (34.081)	Prec@5 64.844 (64.417)
Epoch: [15][10640/14090]	Time 0.719 (0.766)	Data 0.001 (0.001)	Loss 2.7572 (2.7693)	Prec@1 34.375 (34.082)	Prec@5 62.500 (64.417)
Epoch: [15][10650/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 2.8413 (2.7694)	Prec@1 34.375 (34.081)	Prec@5 58.594 (64.416)
Epoch: [15][10660/14090]	Time 0.893 (0.766)	Data 0.001 (0.001)	Loss 2.9184 (2.7694)	Prec@1 31.250 (34.080)	Prec@5 60.156 (64.415)
Epoch: [15][10670/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.5563 (2.7694)	Prec@1 39.844 (34.081)	Prec@5 67.969 (64.414)
Epoch: [15][10680/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.8329 (2.7695)	Prec@1 30.469 (34.080)	Prec@5 62.500 (64.415)
Epoch: [15][10690/14090]	Time 0.776 (0.766)	Data 0.001 (0.001)	Loss 2.6432 (2.7695)	Prec@1 34.375 (34.079)	Prec@5 64.062 (64.413)
Epoch: [15][10700/14090]	Time 0.755 (0.766)	Data 0.002 (0.001)	Loss 2.3388 (2.7695)	Prec@1 38.281 (34.078)	Prec@5 71.094 (64.413)
Epoch: [15][10710/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.9318 (2.7695)	Prec@1 31.250 (34.076)	Prec@5 61.719 (64.412)
Epoch: [15][10720/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.9508 (2.7695)	Prec@1 36.719 (34.076)	Prec@5 57.812 (64.412)
Epoch: [15][10730/14090]	Time 0.848 (0.766)	Data 0.001 (0.001)	Loss 2.9348 (2.7695)	Prec@1 29.688 (34.077)	Prec@5 57.812 (64.414)
Epoch: [15][10740/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.3800 (2.7694)	Prec@1 35.156 (34.078)	Prec@5 72.656 (64.416)
Epoch: [15][10750/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.8730 (2.7694)	Prec@1 27.344 (34.077)	Prec@5 65.625 (64.417)
Epoch: [15][10760/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.5750 (2.7695)	Prec@1 41.406 (34.077)	Prec@5 67.188 (64.415)
Epoch: [15][10770/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.8864 (2.7695)	Prec@1 32.031 (34.079)	Prec@5 64.062 (64.414)
Epoch: [15][10780/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.8554 (2.7696)	Prec@1 32.031 (34.077)	Prec@5 61.719 (64.412)
Epoch: [15][10790/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.7348 (2.7696)	Prec@1 34.375 (34.077)	Prec@5 60.156 (64.412)
Epoch: [15][10800/14090]	Time 0.844 (0.766)	Data 0.001 (0.001)	Loss 2.8646 (2.7696)	Prec@1 28.906 (34.076)	Prec@5 64.062 (64.412)
Epoch: [15][10810/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.5462 (2.7696)	Prec@1 41.406 (34.076)	Prec@5 68.750 (64.413)
Epoch: [15][10820/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 3.0462 (2.7696)	Prec@1 32.812 (34.076)	Prec@5 57.812 (64.413)
Epoch: [15][10830/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.7240 (2.7696)	Prec@1 38.281 (34.075)	Prec@5 66.406 (64.411)
Epoch: [15][10840/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.9281 (2.7696)	Prec@1 28.125 (34.075)	Prec@5 63.281 (64.412)
Epoch: [15][10850/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 3.1379 (2.7697)	Prec@1 25.000 (34.072)	Prec@5 58.594 (64.409)
Epoch: [15][10860/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.8088 (2.7698)	Prec@1 29.688 (34.072)	Prec@5 62.500 (64.408)
Epoch: [15][10870/14090]	Time 0.829 (0.766)	Data 0.001 (0.001)	Loss 2.6863 (2.7697)	Prec@1 35.156 (34.073)	Prec@5 66.406 (64.411)
Epoch: [15][10880/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.4577 (2.7696)	Prec@1 37.500 (34.073)	Prec@5 70.312 (64.413)
Epoch: [15][10890/14090]	Time 0.722 (0.766)	Data 0.001 (0.001)	Loss 2.9589 (2.7696)	Prec@1 36.719 (34.074)	Prec@5 60.156 (64.414)
Epoch: [15][10900/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.8199 (2.7696)	Prec@1 27.344 (34.073)	Prec@5 60.156 (64.414)
Epoch: [15][10910/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.6985 (2.7696)	Prec@1 34.375 (34.073)	Prec@5 65.625 (64.416)
Epoch: [15][10920/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.9235 (2.7695)	Prec@1 33.594 (34.073)	Prec@5 58.594 (64.415)
Epoch: [15][10930/14090]	Time 0.780 (0.766)	Data 0.001 (0.001)	Loss 2.6090 (2.7695)	Prec@1 39.062 (34.072)	Prec@5 67.188 (64.414)
Epoch: [15][10940/14090]	Time 0.877 (0.766)	Data 0.001 (0.001)	Loss 2.5865 (2.7695)	Prec@1 41.406 (34.073)	Prec@5 72.656 (64.415)
Epoch: [15][10950/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.8089 (2.7696)	Prec@1 27.344 (34.072)	Prec@5 64.844 (64.414)
Epoch: [15][10960/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.8965 (2.7696)	Prec@1 34.375 (34.071)	Prec@5 58.594 (64.414)
Epoch: [15][10970/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.4515 (2.7695)	Prec@1 39.062 (34.074)	Prec@5 68.750 (64.414)
Epoch: [15][10980/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.8630 (2.7696)	Prec@1 30.469 (34.072)	Prec@5 56.250 (64.412)
Epoch: [15][10990/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.6342 (2.7695)	Prec@1 35.938 (34.073)	Prec@5 64.062 (64.413)
Epoch: [15][11000/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.7918 (2.7694)	Prec@1 32.031 (34.074)	Prec@5 62.500 (64.415)
Epoch: [15][11010/14090]	Time 0.855 (0.766)	Data 0.001 (0.001)	Loss 2.7557 (2.7695)	Prec@1 30.469 (34.073)	Prec@5 64.844 (64.414)
Epoch: [15][11020/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 3.0073 (2.7695)	Prec@1 30.469 (34.073)	Prec@5 61.719 (64.415)
Epoch: [15][11030/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.9561 (2.7695)	Prec@1 32.812 (34.072)	Prec@5 58.594 (64.412)
Epoch: [15][11040/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.5948 (2.7695)	Prec@1 40.625 (34.072)	Prec@5 67.969 (64.411)
Epoch: [15][11050/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.5934 (2.7695)	Prec@1 39.062 (34.072)	Prec@5 67.969 (64.411)
Epoch: [15][11060/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 3.1651 (2.7695)	Prec@1 28.906 (34.070)	Prec@5 55.469 (64.410)
Epoch: [15][11070/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.7775 (2.7696)	Prec@1 28.906 (34.070)	Prec@5 64.062 (64.410)
Epoch: [15][11080/14090]	Time 0.880 (0.766)	Data 0.001 (0.001)	Loss 2.5519 (2.7696)	Prec@1 41.406 (34.069)	Prec@5 63.281 (64.409)
Epoch: [15][11090/14090]	Time 0.728 (0.766)	Data 0.003 (0.001)	Loss 2.6122 (2.7695)	Prec@1 35.938 (34.071)	Prec@5 67.969 (64.411)
Epoch: [15][11100/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.7484 (2.7695)	Prec@1 35.938 (34.072)	Prec@5 66.406 (64.411)
Epoch: [15][11110/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 2.6908 (2.7695)	Prec@1 36.719 (34.072)	Prec@5 68.750 (64.411)
Epoch: [15][11120/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.8361 (2.7695)	Prec@1 31.250 (34.072)	Prec@5 64.844 (64.410)
Epoch: [15][11130/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.6706 (2.7696)	Prec@1 36.719 (34.072)	Prec@5 66.406 (64.410)
Epoch: [15][11140/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.4828 (2.7695)	Prec@1 42.188 (34.074)	Prec@5 76.562 (64.411)
Epoch: [15][11150/14090]	Time 0.888 (0.766)	Data 0.001 (0.001)	Loss 2.4595 (2.7695)	Prec@1 40.625 (34.074)	Prec@5 71.875 (64.414)
Epoch: [15][11160/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 3.0021 (2.7695)	Prec@1 34.375 (34.074)	Prec@5 58.594 (64.412)
Epoch: [15][11170/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.8291 (2.7695)	Prec@1 33.594 (34.074)	Prec@5 62.500 (64.413)
Epoch: [15][11180/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.8763 (2.7696)	Prec@1 32.812 (34.074)	Prec@5 57.812 (64.412)
Epoch: [15][11190/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.5895 (2.7695)	Prec@1 37.500 (34.075)	Prec@5 71.094 (64.412)
Epoch: [15][11200/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.6603 (2.7696)	Prec@1 39.062 (34.074)	Prec@5 62.500 (64.412)
Epoch: [15][11210/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.7262 (2.7696)	Prec@1 39.062 (34.075)	Prec@5 69.531 (64.411)
Epoch: [15][11220/14090]	Time 0.822 (0.766)	Data 0.001 (0.001)	Loss 2.3925 (2.7696)	Prec@1 42.188 (34.076)	Prec@5 71.094 (64.412)
Epoch: [15][11230/14090]	Time 0.748 (0.766)	Data 0.002 (0.001)	Loss 2.7971 (2.7696)	Prec@1 29.688 (34.076)	Prec@5 63.281 (64.413)
Epoch: [15][11240/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 2.9232 (2.7696)	Prec@1 31.250 (34.077)	Prec@5 66.406 (64.412)
Epoch: [15][11250/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.7553 (2.7695)	Prec@1 32.812 (34.079)	Prec@5 60.938 (64.414)
Epoch: [15][11260/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.7877 (2.7696)	Prec@1 35.156 (34.080)	Prec@5 61.719 (64.413)
Epoch: [15][11270/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.8204 (2.7696)	Prec@1 33.594 (34.080)	Prec@5 60.938 (64.411)
Epoch: [15][11280/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 3.1282 (2.7697)	Prec@1 28.906 (34.080)	Prec@5 50.781 (64.410)
Epoch: [15][11290/14090]	Time 0.844 (0.766)	Data 0.001 (0.001)	Loss 2.7980 (2.7696)	Prec@1 35.156 (34.079)	Prec@5 60.156 (64.410)
Epoch: [15][11300/14090]	Time 0.783 (0.766)	Data 0.001 (0.001)	Loss 2.5769 (2.7696)	Prec@1 32.031 (34.080)	Prec@5 67.969 (64.412)
Epoch: [15][11310/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.6183 (2.7696)	Prec@1 37.500 (34.079)	Prec@5 68.750 (64.413)
Epoch: [15][11320/14090]	Time 0.771 (0.766)	Data 0.001 (0.001)	Loss 2.8936 (2.7696)	Prec@1 31.250 (34.079)	Prec@5 62.500 (64.413)
Epoch: [15][11330/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.8570 (2.7696)	Prec@1 35.938 (34.079)	Prec@5 63.281 (64.412)
Epoch: [15][11340/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.7678 (2.7696)	Prec@1 32.031 (34.077)	Prec@5 64.844 (64.412)
Epoch: [15][11350/14090]	Time 0.775 (0.766)	Data 0.001 (0.001)	Loss 2.6523 (2.7697)	Prec@1 39.062 (34.078)	Prec@5 67.969 (64.411)
Epoch: [15][11360/14090]	Time 0.919 (0.766)	Data 0.001 (0.001)	Loss 2.6998 (2.7696)	Prec@1 40.625 (34.079)	Prec@5 64.844 (64.412)
Epoch: [15][11370/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.5837 (2.7696)	Prec@1 35.156 (34.078)	Prec@5 69.531 (64.412)
Epoch: [15][11380/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.6725 (2.7696)	Prec@1 35.156 (34.078)	Prec@5 67.188 (64.413)
Epoch: [15][11390/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.9658 (2.7696)	Prec@1 30.469 (34.078)	Prec@5 65.625 (64.413)
Epoch: [15][11400/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.6694 (2.7696)	Prec@1 35.156 (34.077)	Prec@5 66.406 (64.413)
Epoch: [15][11410/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.7597 (2.7696)	Prec@1 36.719 (34.077)	Prec@5 61.719 (64.414)
Epoch: [15][11420/14090]	Time 0.767 (0.766)	Data 0.001 (0.001)	Loss 2.8178 (2.7697)	Prec@1 32.031 (34.076)	Prec@5 63.281 (64.413)
Epoch: [15][11430/14090]	Time 0.830 (0.766)	Data 0.001 (0.001)	Loss 2.7486 (2.7696)	Prec@1 29.688 (34.076)	Prec@5 66.406 (64.416)
Epoch: [15][11440/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.6458 (2.7696)	Prec@1 32.812 (34.075)	Prec@5 66.406 (64.416)
Epoch: [15][11450/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.7596 (2.7696)	Prec@1 36.719 (34.075)	Prec@5 66.406 (64.416)
Epoch: [15][11460/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.6823 (2.7696)	Prec@1 36.719 (34.075)	Prec@5 64.844 (64.415)
Epoch: [15][11470/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.6564 (2.7696)	Prec@1 35.938 (34.076)	Prec@5 67.188 (64.415)
Epoch: [15][11480/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.6192 (2.7696)	Prec@1 38.281 (34.076)	Prec@5 65.625 (64.414)
Epoch: [15][11490/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.7417 (2.7696)	Prec@1 34.375 (34.077)	Prec@5 64.844 (64.415)
Epoch: [15][11500/14090]	Time 0.873 (0.766)	Data 0.001 (0.001)	Loss 2.9037 (2.7696)	Prec@1 22.656 (34.075)	Prec@5 60.938 (64.415)
Epoch: [15][11510/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.6581 (2.7695)	Prec@1 39.062 (34.076)	Prec@5 66.406 (64.417)
Epoch: [15][11520/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.9800 (2.7696)	Prec@1 28.906 (34.075)	Prec@5 59.375 (64.414)
Epoch: [15][11530/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.7730 (2.7697)	Prec@1 35.156 (34.075)	Prec@5 63.281 (64.413)
Epoch: [15][11540/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.7096 (2.7697)	Prec@1 36.719 (34.075)	Prec@5 63.281 (64.413)
Epoch: [15][11550/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.6773 (2.7696)	Prec@1 33.594 (34.075)	Prec@5 72.656 (64.414)
Epoch: [15][11560/14090]	Time 0.756 (0.766)	Data 0.002 (0.001)	Loss 2.5957 (2.7697)	Prec@1 39.062 (34.075)	Prec@5 66.406 (64.413)
Epoch: [15][11570/14090]	Time 0.902 (0.766)	Data 0.001 (0.001)	Loss 2.7598 (2.7697)	Prec@1 35.156 (34.074)	Prec@5 64.844 (64.412)
Epoch: [15][11580/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.4404 (2.7697)	Prec@1 32.812 (34.075)	Prec@5 70.312 (64.412)
Epoch: [15][11590/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.9943 (2.7698)	Prec@1 35.156 (34.074)	Prec@5 60.156 (64.410)
Epoch: [15][11600/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.6910 (2.7697)	Prec@1 38.281 (34.075)	Prec@5 64.844 (64.412)
Epoch: [15][11610/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 2.5582 (2.7697)	Prec@1 38.281 (34.075)	Prec@5 67.188 (64.412)
Epoch: [15][11620/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 2.8768 (2.7697)	Prec@1 29.688 (34.074)	Prec@5 66.406 (64.413)
Epoch: [15][11630/14090]	Time 0.789 (0.766)	Data 0.001 (0.001)	Loss 3.0411 (2.7698)	Prec@1 27.344 (34.072)	Prec@5 56.250 (64.411)
Epoch: [15][11640/14090]	Time 0.848 (0.766)	Data 0.001 (0.001)	Loss 2.7483 (2.7698)	Prec@1 35.156 (34.072)	Prec@5 60.938 (64.410)
Epoch: [15][11650/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 2.7887 (2.7699)	Prec@1 37.500 (34.072)	Prec@5 66.406 (64.408)
Epoch: [15][11660/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.9522 (2.7699)	Prec@1 32.812 (34.070)	Prec@5 60.156 (64.408)
Epoch: [15][11670/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.5269 (2.7699)	Prec@1 37.500 (34.071)	Prec@5 72.656 (64.409)
Epoch: [15][11680/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 2.5982 (2.7699)	Prec@1 35.156 (34.069)	Prec@5 67.188 (64.408)
Epoch: [15][11690/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.8361 (2.7699)	Prec@1 32.031 (34.071)	Prec@5 60.156 (64.409)
Epoch: [15][11700/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.8042 (2.7698)	Prec@1 32.031 (34.072)	Prec@5 64.062 (64.410)
Epoch: [15][11710/14090]	Time 0.868 (0.766)	Data 0.002 (0.001)	Loss 2.4754 (2.7698)	Prec@1 39.844 (34.073)	Prec@5 70.312 (64.410)
Epoch: [15][11720/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 2.7445 (2.7697)	Prec@1 32.812 (34.073)	Prec@5 63.281 (64.412)
Epoch: [15][11730/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.5714 (2.7697)	Prec@1 35.938 (34.074)	Prec@5 67.188 (64.412)
Epoch: [15][11740/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.7170 (2.7697)	Prec@1 31.250 (34.072)	Prec@5 68.750 (64.412)
Epoch: [15][11750/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.8271 (2.7696)	Prec@1 28.906 (34.073)	Prec@5 63.281 (64.413)
Epoch: [15][11760/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 3.0207 (2.7696)	Prec@1 28.125 (34.073)	Prec@5 57.031 (64.414)
Epoch: [15][11770/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.7164 (2.7695)	Prec@1 32.031 (34.074)	Prec@5 66.406 (64.415)
Epoch: [15][11780/14090]	Time 0.881 (0.766)	Data 0.001 (0.001)	Loss 2.4345 (2.7694)	Prec@1 40.625 (34.076)	Prec@5 71.094 (64.417)
Epoch: [15][11790/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.8166 (2.7696)	Prec@1 27.344 (34.073)	Prec@5 61.719 (64.414)
Epoch: [15][11800/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.7247 (2.7697)	Prec@1 31.250 (34.070)	Prec@5 67.188 (64.411)
Epoch: [15][11810/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 3.1811 (2.7697)	Prec@1 28.906 (34.071)	Prec@5 55.469 (64.412)
Epoch: [15][11820/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.8211 (2.7697)	Prec@1 31.250 (34.069)	Prec@5 59.375 (64.411)
Epoch: [15][11830/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.5216 (2.7697)	Prec@1 43.750 (34.071)	Prec@5 65.625 (64.412)
Epoch: [15][11840/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.6686 (2.7696)	Prec@1 35.156 (34.071)	Prec@5 67.969 (64.414)
Epoch: [15][11850/14090]	Time 0.885 (0.766)	Data 0.001 (0.001)	Loss 2.6543 (2.7696)	Prec@1 39.844 (34.072)	Prec@5 67.188 (64.414)
Epoch: [15][11860/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.7312 (2.7696)	Prec@1 34.375 (34.073)	Prec@5 63.281 (64.415)
Epoch: [15][11870/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 3.0297 (2.7696)	Prec@1 28.906 (34.072)	Prec@5 60.156 (64.415)
Epoch: [15][11880/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.6129 (2.7696)	Prec@1 35.938 (34.072)	Prec@5 64.844 (64.415)
Epoch: [15][11890/14090]	Time 0.765 (0.766)	Data 0.001 (0.001)	Loss 2.5271 (2.7696)	Prec@1 43.750 (34.071)	Prec@5 67.969 (64.413)
Epoch: [15][11900/14090]	Time 0.724 (0.766)	Data 0.001 (0.001)	Loss 2.6027 (2.7696)	Prec@1 37.500 (34.070)	Prec@5 64.062 (64.411)
Epoch: [15][11910/14090]	Time 0.719 (0.766)	Data 0.001 (0.001)	Loss 2.7199 (2.7697)	Prec@1 28.125 (34.070)	Prec@5 64.062 (64.411)
Epoch: [15][11920/14090]	Time 0.900 (0.766)	Data 0.001 (0.001)	Loss 2.9133 (2.7698)	Prec@1 25.781 (34.068)	Prec@5 57.812 (64.409)
Epoch: [15][11930/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.8588 (2.7697)	Prec@1 35.156 (34.070)	Prec@5 58.594 (64.408)
Epoch: [15][11940/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.6915 (2.7697)	Prec@1 35.156 (34.070)	Prec@5 67.969 (64.408)
Epoch: [15][11950/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.4848 (2.7698)	Prec@1 42.969 (34.069)	Prec@5 70.312 (64.406)
Epoch: [15][11960/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.5283 (2.7698)	Prec@1 37.500 (34.068)	Prec@5 72.656 (64.406)
Epoch: [15][11970/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.6850 (2.7698)	Prec@1 32.812 (34.068)	Prec@5 64.844 (64.406)
Epoch: [15][11980/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.6963 (2.7699)	Prec@1 39.844 (34.067)	Prec@5 64.844 (64.404)
Epoch: [15][11990/14090]	Time 0.908 (0.766)	Data 0.001 (0.001)	Loss 2.7221 (2.7699)	Prec@1 38.281 (34.066)	Prec@5 60.156 (64.403)
Epoch: [15][12000/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.5141 (2.7699)	Prec@1 34.375 (34.066)	Prec@5 67.969 (64.404)
Epoch: [15][12010/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.8535 (2.7699)	Prec@1 30.469 (34.065)	Prec@5 57.031 (64.404)
Epoch: [15][12020/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.9545 (2.7698)	Prec@1 25.000 (34.066)	Prec@5 59.375 (64.405)
Epoch: [15][12030/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.6494 (2.7698)	Prec@1 35.156 (34.067)	Prec@5 65.625 (64.406)
Epoch: [15][12040/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.8288 (2.7698)	Prec@1 35.938 (34.068)	Prec@5 65.625 (64.406)
Epoch: [15][12050/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.7569 (2.7698)	Prec@1 32.031 (34.068)	Prec@5 66.406 (64.406)
Epoch: [15][12060/14090]	Time 0.851 (0.766)	Data 0.001 (0.001)	Loss 2.7641 (2.7698)	Prec@1 31.250 (34.068)	Prec@5 64.844 (64.405)
Epoch: [15][12070/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.9027 (2.7698)	Prec@1 36.719 (34.068)	Prec@5 65.625 (64.405)
Epoch: [15][12080/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 2.2862 (2.7698)	Prec@1 50.000 (34.069)	Prec@5 74.219 (64.406)
Epoch: [15][12090/14090]	Time 0.787 (0.766)	Data 0.001 (0.001)	Loss 3.0671 (2.7698)	Prec@1 26.562 (34.069)	Prec@5 61.719 (64.407)
Epoch: [15][12100/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 2.6256 (2.7698)	Prec@1 35.156 (34.069)	Prec@5 67.969 (64.405)
Epoch: [15][12110/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.4764 (2.7698)	Prec@1 42.188 (34.071)	Prec@5 69.531 (64.406)
Epoch: [15][12120/14090]	Time 0.722 (0.766)	Data 0.001 (0.001)	Loss 2.6344 (2.7697)	Prec@1 33.594 (34.071)	Prec@5 69.531 (64.407)
Epoch: [15][12130/14090]	Time 0.860 (0.766)	Data 0.001 (0.001)	Loss 2.8316 (2.7698)	Prec@1 33.594 (34.069)	Prec@5 66.406 (64.407)
Epoch: [15][12140/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.9555 (2.7698)	Prec@1 32.031 (34.071)	Prec@5 58.594 (64.407)
Epoch: [15][12150/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.7907 (2.7699)	Prec@1 32.812 (34.071)	Prec@5 60.156 (64.406)
Epoch: [15][12160/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.9664 (2.7699)	Prec@1 26.562 (34.069)	Prec@5 57.031 (64.404)
Epoch: [15][12170/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.8168 (2.7700)	Prec@1 32.031 (34.068)	Prec@5 60.938 (64.403)
Epoch: [15][12180/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.8578 (2.7700)	Prec@1 31.250 (34.068)	Prec@5 59.375 (64.402)
Epoch: [15][12190/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.5123 (2.7700)	Prec@1 38.281 (34.067)	Prec@5 69.531 (64.403)
Epoch: [15][12200/14090]	Time 0.881 (0.766)	Data 0.001 (0.001)	Loss 2.7028 (2.7700)	Prec@1 39.062 (34.067)	Prec@5 72.656 (64.404)
Epoch: [15][12210/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.6650 (2.7700)	Prec@1 28.906 (34.067)	Prec@5 67.188 (64.405)
Epoch: [15][12220/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.7461 (2.7700)	Prec@1 35.938 (34.067)	Prec@5 64.844 (64.404)
Epoch: [15][12230/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.9315 (2.7701)	Prec@1 32.812 (34.065)	Prec@5 57.031 (64.402)
Epoch: [15][12240/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.6386 (2.7700)	Prec@1 34.375 (34.066)	Prec@5 69.531 (64.403)
Epoch: [15][12250/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.4906 (2.7700)	Prec@1 42.969 (34.067)	Prec@5 71.094 (64.402)
Epoch: [15][12260/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.8814 (2.7700)	Prec@1 29.688 (34.066)	Prec@5 61.719 (64.402)
Epoch: [15][12270/14090]	Time 0.856 (0.766)	Data 0.001 (0.001)	Loss 2.8743 (2.7701)	Prec@1 31.250 (34.067)	Prec@5 64.062 (64.402)
Epoch: [15][12280/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.8200 (2.7701)	Prec@1 35.156 (34.066)	Prec@5 67.969 (64.402)
Epoch: [15][12290/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 2.8824 (2.7701)	Prec@1 30.469 (34.065)	Prec@5 60.156 (64.402)
Epoch: [15][12300/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.9212 (2.7701)	Prec@1 25.000 (34.064)	Prec@5 59.375 (64.402)
Epoch: [15][12310/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 2.9449 (2.7702)	Prec@1 36.719 (34.063)	Prec@5 62.500 (64.402)
Epoch: [15][12320/14090]	Time 0.747 (0.766)	Data 0.003 (0.001)	Loss 2.5516 (2.7702)	Prec@1 42.969 (34.063)	Prec@5 70.312 (64.401)
Epoch: [15][12330/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 3.1444 (2.7701)	Prec@1 28.125 (34.064)	Prec@5 56.250 (64.402)
Epoch: [15][12340/14090]	Time 0.923 (0.766)	Data 0.001 (0.001)	Loss 2.9248 (2.7702)	Prec@1 30.469 (34.065)	Prec@5 60.156 (64.402)
Epoch: [15][12350/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.7583 (2.7701)	Prec@1 33.594 (34.065)	Prec@5 67.188 (64.402)
Epoch: [15][12360/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.6510 (2.7701)	Prec@1 35.156 (34.064)	Prec@5 64.844 (64.401)
Epoch: [15][12370/14090]	Time 0.781 (0.766)	Data 0.001 (0.001)	Loss 2.6732 (2.7702)	Prec@1 32.812 (34.064)	Prec@5 67.969 (64.400)
Epoch: [15][12380/14090]	Time 0.757 (0.766)	Data 0.002 (0.001)	Loss 3.0704 (2.7702)	Prec@1 30.469 (34.064)	Prec@5 57.031 (64.400)
Epoch: [15][12390/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.4897 (2.7702)	Prec@1 35.156 (34.064)	Prec@5 70.312 (64.400)
Epoch: [15][12400/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.8498 (2.7702)	Prec@1 33.594 (34.066)	Prec@5 63.281 (64.400)
Epoch: [15][12410/14090]	Time 0.905 (0.766)	Data 0.001 (0.001)	Loss 2.7406 (2.7701)	Prec@1 35.156 (34.068)	Prec@5 67.969 (64.401)
Epoch: [15][12420/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.4512 (2.7700)	Prec@1 36.719 (34.070)	Prec@5 69.531 (64.402)
Epoch: [15][12430/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.9745 (2.7701)	Prec@1 28.125 (34.069)	Prec@5 67.969 (64.402)
Epoch: [15][12440/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.8124 (2.7700)	Prec@1 30.469 (34.071)	Prec@5 65.625 (64.403)
Epoch: [15][12450/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.6523 (2.7700)	Prec@1 38.281 (34.072)	Prec@5 74.219 (64.404)
Epoch: [15][12460/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.6752 (2.7700)	Prec@1 37.500 (34.074)	Prec@5 67.188 (64.406)
Epoch: [15][12470/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.8544 (2.7700)	Prec@1 34.375 (34.075)	Prec@5 61.719 (64.405)
Epoch: [15][12480/14090]	Time 0.892 (0.766)	Data 0.001 (0.001)	Loss 2.8871 (2.7700)	Prec@1 31.250 (34.075)	Prec@5 60.156 (64.405)
Epoch: [15][12490/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.7494 (2.7699)	Prec@1 29.688 (34.076)	Prec@5 65.625 (64.406)
Epoch: [15][12500/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.5592 (2.7699)	Prec@1 37.500 (34.077)	Prec@5 68.750 (64.407)
Epoch: [15][12510/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 2.9614 (2.7700)	Prec@1 34.375 (34.075)	Prec@5 63.281 (64.405)
Epoch: [15][12520/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 3.1031 (2.7700)	Prec@1 31.250 (34.075)	Prec@5 54.688 (64.405)
Epoch: [15][12530/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.5073 (2.7699)	Prec@1 38.281 (34.075)	Prec@5 67.188 (64.405)
Epoch: [15][12540/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 3.1017 (2.7699)	Prec@1 30.469 (34.077)	Prec@5 57.812 (64.406)
Epoch: [15][12550/14090]	Time 0.872 (0.766)	Data 0.001 (0.001)	Loss 2.7841 (2.7699)	Prec@1 37.500 (34.078)	Prec@5 63.281 (64.407)
Epoch: [15][12560/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.7278 (2.7699)	Prec@1 40.625 (34.079)	Prec@5 66.406 (64.408)
Epoch: [15][12570/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.5607 (2.7698)	Prec@1 36.719 (34.079)	Prec@5 70.312 (64.409)
Epoch: [15][12580/14090]	Time 0.775 (0.766)	Data 0.001 (0.001)	Loss 2.5917 (2.7698)	Prec@1 39.062 (34.079)	Prec@5 65.625 (64.409)
Epoch: [15][12590/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.7620 (2.7698)	Prec@1 36.719 (34.078)	Prec@5 61.719 (64.409)
Epoch: [15][12600/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.7836 (2.7698)	Prec@1 35.156 (34.078)	Prec@5 65.625 (64.409)
Epoch: [15][12610/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.6773 (2.7698)	Prec@1 35.938 (34.079)	Prec@5 68.750 (64.410)
Epoch: [15][12620/14090]	Time 1.011 (0.766)	Data 0.001 (0.001)	Loss 2.6728 (2.7697)	Prec@1 36.719 (34.080)	Prec@5 71.094 (64.412)
Epoch: [15][12630/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.4925 (2.7697)	Prec@1 37.500 (34.080)	Prec@5 72.656 (64.413)
Epoch: [15][12640/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.9407 (2.7697)	Prec@1 35.938 (34.081)	Prec@5 61.719 (64.414)
Epoch: [15][12650/14090]	Time 0.776 (0.766)	Data 0.001 (0.001)	Loss 2.8496 (2.7697)	Prec@1 29.688 (34.081)	Prec@5 64.062 (64.415)
Epoch: [15][12660/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.7927 (2.7696)	Prec@1 35.938 (34.082)	Prec@5 66.406 (64.416)
Epoch: [15][12670/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.8195 (2.7696)	Prec@1 30.469 (34.083)	Prec@5 58.594 (64.414)
Epoch: [15][12680/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.8911 (2.7697)	Prec@1 31.250 (34.082)	Prec@5 64.062 (64.413)
Epoch: [15][12690/14090]	Time 0.885 (0.766)	Data 0.001 (0.001)	Loss 2.8165 (2.7698)	Prec@1 34.375 (34.080)	Prec@5 65.625 (64.411)
Epoch: [15][12700/14090]	Time 0.775 (0.766)	Data 0.001 (0.001)	Loss 2.5851 (2.7698)	Prec@1 35.156 (34.080)	Prec@5 64.844 (64.411)
Epoch: [15][12710/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.6001 (2.7697)	Prec@1 39.844 (34.080)	Prec@5 66.406 (64.411)
Epoch: [15][12720/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.5994 (2.7697)	Prec@1 37.500 (34.080)	Prec@5 68.750 (64.411)
Epoch: [15][12730/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.7883 (2.7698)	Prec@1 29.688 (34.078)	Prec@5 65.625 (64.409)
Epoch: [15][12740/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.9941 (2.7697)	Prec@1 32.031 (34.078)	Prec@5 57.031 (64.410)
Epoch: [15][12750/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.6939 (2.7697)	Prec@1 46.094 (34.079)	Prec@5 71.094 (64.410)
Epoch: [15][12760/14090]	Time 0.850 (0.766)	Data 0.001 (0.001)	Loss 2.7795 (2.7698)	Prec@1 36.719 (34.079)	Prec@5 65.625 (64.409)
Epoch: [15][12770/14090]	Time 0.777 (0.766)	Data 0.001 (0.001)	Loss 2.4250 (2.7698)	Prec@1 39.062 (34.080)	Prec@5 71.094 (64.409)
Epoch: [15][12780/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.9669 (2.7697)	Prec@1 29.688 (34.080)	Prec@5 57.812 (64.409)
Epoch: [15][12790/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.6541 (2.7697)	Prec@1 42.969 (34.081)	Prec@5 67.969 (64.410)
Epoch: [15][12800/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.6402 (2.7697)	Prec@1 32.812 (34.080)	Prec@5 60.938 (64.410)
Epoch: [15][12810/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.8186 (2.7697)	Prec@1 32.812 (34.079)	Prec@5 65.625 (64.412)
Epoch: [15][12820/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.6421 (2.7697)	Prec@1 34.375 (34.078)	Prec@5 67.188 (64.411)
Epoch: [15][12830/14090]	Time 0.874 (0.766)	Data 0.001 (0.001)	Loss 2.6628 (2.7697)	Prec@1 40.625 (34.078)	Prec@5 63.281 (64.410)
Epoch: [15][12840/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.7319 (2.7697)	Prec@1 34.375 (34.078)	Prec@5 70.312 (64.410)
Epoch: [15][12850/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.7330 (2.7697)	Prec@1 34.375 (34.079)	Prec@5 67.969 (64.411)
Epoch: [15][12860/14090]	Time 0.776 (0.766)	Data 0.001 (0.001)	Loss 2.9066 (2.7697)	Prec@1 31.250 (34.079)	Prec@5 61.719 (64.410)
Epoch: [15][12870/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.8306 (2.7697)	Prec@1 28.906 (34.078)	Prec@5 61.719 (64.411)
Epoch: [15][12880/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.8253 (2.7697)	Prec@1 31.250 (34.079)	Prec@5 59.375 (64.411)
Epoch: [15][12890/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.6604 (2.7697)	Prec@1 39.062 (34.079)	Prec@5 65.625 (64.410)
Epoch: [15][12900/14090]	Time 0.849 (0.766)	Data 0.001 (0.001)	Loss 2.6255 (2.7696)	Prec@1 38.281 (34.080)	Prec@5 66.406 (64.412)
Epoch: [15][12910/14090]	Time 0.769 (0.766)	Data 0.001 (0.001)	Loss 2.6235 (2.7696)	Prec@1 37.500 (34.082)	Prec@5 68.750 (64.412)
Epoch: [15][12920/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 2.7562 (2.7696)	Prec@1 34.375 (34.083)	Prec@5 64.844 (64.412)
Epoch: [15][12930/14090]	Time 0.775 (0.766)	Data 0.001 (0.001)	Loss 2.6385 (2.7696)	Prec@1 37.500 (34.083)	Prec@5 63.281 (64.411)
Epoch: [15][12940/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.3736 (2.7696)	Prec@1 43.750 (34.084)	Prec@5 71.094 (64.411)
Epoch: [15][12950/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.7085 (2.7696)	Prec@1 35.156 (34.084)	Prec@5 68.750 (64.410)
Epoch: [15][12960/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.6021 (2.7696)	Prec@1 35.938 (34.084)	Prec@5 69.531 (64.411)
Epoch: [15][12970/14090]	Time 0.875 (0.766)	Data 0.001 (0.001)	Loss 2.7283 (2.7697)	Prec@1 39.062 (34.084)	Prec@5 65.625 (64.411)
Epoch: [15][12980/14090]	Time 0.743 (0.766)	Data 0.002 (0.001)	Loss 2.6704 (2.7697)	Prec@1 40.625 (34.083)	Prec@5 63.281 (64.410)
Epoch: [15][12990/14090]	Time 0.771 (0.766)	Data 0.001 (0.001)	Loss 2.8279 (2.7697)	Prec@1 32.812 (34.083)	Prec@5 61.719 (64.411)
Epoch: [15][13000/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.9115 (2.7697)	Prec@1 32.812 (34.082)	Prec@5 56.250 (64.411)
Epoch: [15][13010/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.7729 (2.7697)	Prec@1 32.812 (34.083)	Prec@5 63.281 (64.410)
Epoch: [15][13020/14090]	Time 0.772 (0.766)	Data 0.001 (0.001)	Loss 2.5298 (2.7697)	Prec@1 39.844 (34.083)	Prec@5 67.188 (64.410)
Epoch: [15][13030/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.4877 (2.7697)	Prec@1 37.500 (34.082)	Prec@5 69.531 (64.408)
Epoch: [15][13040/14090]	Time 0.917 (0.766)	Data 0.001 (0.001)	Loss 2.7520 (2.7697)	Prec@1 32.812 (34.082)	Prec@5 67.188 (64.408)
Epoch: [15][13050/14090]	Time 0.784 (0.766)	Data 0.001 (0.001)	Loss 2.4576 (2.7698)	Prec@1 37.500 (34.081)	Prec@5 68.750 (64.407)
Epoch: [15][13060/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.5623 (2.7697)	Prec@1 39.062 (34.082)	Prec@5 67.969 (64.406)
Epoch: [15][13070/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.6688 (2.7697)	Prec@1 28.906 (34.082)	Prec@5 61.719 (64.407)
Epoch: [15][13080/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.6495 (2.7698)	Prec@1 37.500 (34.083)	Prec@5 63.281 (64.405)
Epoch: [15][13090/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.7425 (2.7698)	Prec@1 31.250 (34.083)	Prec@5 61.719 (64.404)
Epoch: [15][13100/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.7849 (2.7698)	Prec@1 32.812 (34.083)	Prec@5 64.062 (64.405)
Epoch: [15][13110/14090]	Time 0.846 (0.766)	Data 0.001 (0.001)	Loss 2.8751 (2.7698)	Prec@1 32.812 (34.084)	Prec@5 66.406 (64.405)
Epoch: [15][13120/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.5364 (2.7698)	Prec@1 39.844 (34.083)	Prec@5 72.656 (64.405)
Epoch: [15][13130/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 2.6192 (2.7697)	Prec@1 35.938 (34.083)	Prec@5 64.844 (64.405)
Epoch: [15][13140/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.4019 (2.7698)	Prec@1 42.969 (34.083)	Prec@5 71.094 (64.404)
Epoch: [15][13150/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 3.2247 (2.7698)	Prec@1 27.344 (34.081)	Prec@5 55.469 (64.403)
Epoch: [15][13160/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.6677 (2.7698)	Prec@1 42.188 (34.082)	Prec@5 66.406 (64.404)
Epoch: [15][13170/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 2.9044 (2.7698)	Prec@1 28.906 (34.081)	Prec@5 61.719 (64.405)
Epoch: [15][13180/14090]	Time 0.857 (0.766)	Data 0.001 (0.001)	Loss 2.9327 (2.7697)	Prec@1 35.938 (34.082)	Prec@5 61.719 (64.405)
Epoch: [15][13190/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.8545 (2.7697)	Prec@1 28.906 (34.081)	Prec@5 64.844 (64.406)
Epoch: [15][13200/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.8345 (2.7697)	Prec@1 34.375 (34.080)	Prec@5 64.844 (64.406)
Epoch: [15][13210/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 2.6938 (2.7697)	Prec@1 36.719 (34.079)	Prec@5 65.625 (64.407)
Epoch: [15][13220/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 2.5699 (2.7698)	Prec@1 39.062 (34.077)	Prec@5 69.531 (64.407)
Epoch: [15][13230/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.7353 (2.7698)	Prec@1 36.719 (34.076)	Prec@5 65.625 (64.406)
Epoch: [15][13240/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.6998 (2.7697)	Prec@1 35.156 (34.078)	Prec@5 67.969 (64.407)
Epoch: [15][13250/14090]	Time 0.847 (0.766)	Data 0.001 (0.001)	Loss 3.0652 (2.7698)	Prec@1 28.125 (34.077)	Prec@5 62.500 (64.406)
Epoch: [15][13260/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.6922 (2.7697)	Prec@1 33.594 (34.077)	Prec@5 67.969 (64.409)
Epoch: [15][13270/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 3.0662 (2.7697)	Prec@1 25.781 (34.075)	Prec@5 62.500 (64.408)
Epoch: [15][13280/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.7850 (2.7697)	Prec@1 32.812 (34.076)	Prec@5 61.719 (64.409)
Epoch: [15][13290/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 2.7749 (2.7697)	Prec@1 39.844 (34.078)	Prec@5 63.281 (64.409)
Epoch: [15][13300/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 2.4777 (2.7696)	Prec@1 39.844 (34.080)	Prec@5 71.094 (64.411)
Epoch: [15][13310/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.7454 (2.7696)	Prec@1 38.281 (34.079)	Prec@5 62.500 (64.410)
Epoch: [15][13320/14090]	Time 0.863 (0.766)	Data 0.001 (0.001)	Loss 2.9705 (2.7696)	Prec@1 34.375 (34.079)	Prec@5 60.938 (64.411)
Epoch: [15][13330/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.5950 (2.7696)	Prec@1 34.375 (34.078)	Prec@5 67.969 (64.412)
Epoch: [15][13340/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 3.2058 (2.7697)	Prec@1 28.906 (34.077)	Prec@5 55.469 (64.409)
Epoch: [15][13350/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.8649 (2.7697)	Prec@1 35.938 (34.076)	Prec@5 62.500 (64.409)
Epoch: [15][13360/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 3.0576 (2.7697)	Prec@1 24.219 (34.076)	Prec@5 58.594 (64.408)
Epoch: [15][13370/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.7198 (2.7697)	Prec@1 36.719 (34.076)	Prec@5 67.188 (64.409)
Epoch: [15][13380/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.9393 (2.7697)	Prec@1 28.125 (34.075)	Prec@5 60.156 (64.409)
Epoch: [15][13390/14090]	Time 0.927 (0.766)	Data 0.001 (0.001)	Loss 3.0904 (2.7697)	Prec@1 26.562 (34.075)	Prec@5 60.156 (64.410)
Epoch: [15][13400/14090]	Time 0.775 (0.766)	Data 0.001 (0.001)	Loss 2.9129 (2.7698)	Prec@1 30.469 (34.075)	Prec@5 62.500 (64.409)
Epoch: [15][13410/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.9230 (2.7698)	Prec@1 25.781 (34.074)	Prec@5 63.281 (64.410)
Epoch: [15][13420/14090]	Time 0.723 (0.766)	Data 0.001 (0.001)	Loss 2.6895 (2.7698)	Prec@1 33.594 (34.074)	Prec@5 64.844 (64.409)
Epoch: [15][13430/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.5068 (2.7698)	Prec@1 38.281 (34.074)	Prec@5 66.406 (64.409)
Epoch: [15][13440/14090]	Time 0.774 (0.766)	Data 0.001 (0.001)	Loss 2.5600 (2.7697)	Prec@1 39.062 (34.074)	Prec@5 70.312 (64.410)
Epoch: [15][13450/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.6257 (2.7698)	Prec@1 40.625 (34.075)	Prec@5 64.062 (64.409)
Epoch: [15][13460/14090]	Time 0.867 (0.766)	Data 0.001 (0.001)	Loss 3.0406 (2.7698)	Prec@1 26.562 (34.071)	Prec@5 65.625 (64.407)
Epoch: [15][13470/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.8183 (2.7699)	Prec@1 29.688 (34.070)	Prec@5 62.500 (64.407)
Epoch: [15][13480/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.8713 (2.7698)	Prec@1 28.125 (34.070)	Prec@5 62.500 (64.409)
Epoch: [15][13490/14090]	Time 0.754 (0.766)	Data 0.002 (0.001)	Loss 2.6317 (2.7699)	Prec@1 35.938 (34.071)	Prec@5 63.281 (64.408)
Epoch: [15][13500/14090]	Time 0.769 (0.766)	Data 0.001 (0.001)	Loss 2.6532 (2.7699)	Prec@1 35.938 (34.070)	Prec@5 67.188 (64.408)
Epoch: [15][13510/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 2.7098 (2.7699)	Prec@1 39.062 (34.071)	Prec@5 61.719 (64.408)
Epoch: [15][13520/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.7197 (2.7699)	Prec@1 34.375 (34.071)	Prec@5 61.719 (64.408)
Epoch: [15][13530/14090]	Time 0.829 (0.766)	Data 0.001 (0.001)	Loss 2.7052 (2.7699)	Prec@1 34.375 (34.070)	Prec@5 63.281 (64.409)
Epoch: [15][13540/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.7875 (2.7699)	Prec@1 32.031 (34.069)	Prec@5 60.156 (64.410)
Epoch: [15][13550/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.6544 (2.7699)	Prec@1 36.719 (34.069)	Prec@5 65.625 (64.409)
Epoch: [15][13560/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.7826 (2.7699)	Prec@1 32.031 (34.069)	Prec@5 64.844 (64.410)
Epoch: [15][13570/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 2.7161 (2.7699)	Prec@1 35.156 (34.069)	Prec@5 67.969 (64.411)
Epoch: [15][13580/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 2.7611 (2.7699)	Prec@1 29.688 (34.068)	Prec@5 62.500 (64.410)
Epoch: [15][13590/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.9394 (2.7699)	Prec@1 36.719 (34.069)	Prec@5 62.500 (64.410)
Epoch: [15][13600/14090]	Time 0.858 (0.766)	Data 0.001 (0.001)	Loss 2.7958 (2.7699)	Prec@1 29.688 (34.069)	Prec@5 63.281 (64.409)
Epoch: [15][13610/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.6204 (2.7699)	Prec@1 35.156 (34.068)	Prec@5 70.312 (64.409)
Epoch: [15][13620/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 2.9027 (2.7700)	Prec@1 30.469 (34.067)	Prec@5 53.906 (64.408)
Epoch: [15][13630/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 2.7094 (2.7699)	Prec@1 38.281 (34.067)	Prec@5 67.969 (64.409)
Epoch: [15][13640/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.9936 (2.7700)	Prec@1 33.594 (34.066)	Prec@5 59.375 (64.407)
Epoch: [15][13650/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.9043 (2.7700)	Prec@1 32.031 (34.066)	Prec@5 61.719 (64.408)
Epoch: [15][13660/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.6178 (2.7699)	Prec@1 33.594 (34.067)	Prec@5 64.062 (64.409)
Epoch: [15][13670/14090]	Time 0.877 (0.766)	Data 0.001 (0.001)	Loss 2.7687 (2.7699)	Prec@1 30.469 (34.068)	Prec@5 64.844 (64.409)
Epoch: [15][13680/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.7223 (2.7699)	Prec@1 32.031 (34.068)	Prec@5 63.281 (64.410)
Epoch: [15][13690/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.7610 (2.7699)	Prec@1 39.062 (34.067)	Prec@5 64.062 (64.409)
Epoch: [15][13700/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.6857 (2.7699)	Prec@1 39.062 (34.066)	Prec@5 66.406 (64.409)
Epoch: [15][13710/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.5738 (2.7699)	Prec@1 38.281 (34.067)	Prec@5 65.625 (64.410)
Epoch: [15][13720/14090]	Time 0.782 (0.766)	Data 0.001 (0.001)	Loss 2.7874 (2.7700)	Prec@1 34.375 (34.067)	Prec@5 60.156 (64.407)
Epoch: [15][13730/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.5065 (2.7700)	Prec@1 42.969 (34.066)	Prec@5 68.750 (64.407)
Epoch: [15][13740/14090]	Time 0.835 (0.766)	Data 0.001 (0.001)	Loss 2.7905 (2.7700)	Prec@1 32.812 (34.065)	Prec@5 65.625 (64.407)
Epoch: [15][13750/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.5301 (2.7700)	Prec@1 37.500 (34.065)	Prec@5 64.062 (64.406)
Epoch: [15][13760/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.6963 (2.7699)	Prec@1 35.938 (34.065)	Prec@5 65.625 (64.407)
Epoch: [15][13770/14090]	Time 0.735 (0.766)	Data 0.002 (0.001)	Loss 2.4061 (2.7699)	Prec@1 43.750 (34.065)	Prec@5 69.531 (64.409)
Epoch: [15][13780/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.7698 (2.7698)	Prec@1 29.688 (34.066)	Prec@5 62.500 (64.408)
Epoch: [15][13790/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.9677 (2.7699)	Prec@1 26.562 (34.065)	Prec@5 58.594 (64.407)
Epoch: [15][13800/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.7230 (2.7699)	Prec@1 32.031 (34.064)	Prec@5 63.281 (64.405)
Epoch: [15][13810/14090]	Time 0.837 (0.766)	Data 0.001 (0.001)	Loss 2.8677 (2.7699)	Prec@1 31.250 (34.063)	Prec@5 58.594 (64.404)
Epoch: [15][13820/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.8099 (2.7699)	Prec@1 26.562 (34.063)	Prec@5 66.406 (64.405)
Epoch: [15][13830/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.8818 (2.7700)	Prec@1 28.125 (34.062)	Prec@5 64.844 (64.404)
Epoch: [15][13840/14090]	Time 0.750 (0.766)	Data 0.002 (0.001)	Loss 2.6170 (2.7700)	Prec@1 34.375 (34.062)	Prec@5 68.750 (64.403)
Epoch: [15][13850/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 3.1046 (2.7701)	Prec@1 32.031 (34.061)	Prec@5 57.812 (64.402)
Epoch: [15][13860/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.7099 (2.7700)	Prec@1 35.156 (34.061)	Prec@5 67.188 (64.404)
Epoch: [15][13870/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.7840 (2.7700)	Prec@1 29.688 (34.060)	Prec@5 64.844 (64.404)
Epoch: [15][13880/14090]	Time 0.884 (0.766)	Data 0.001 (0.001)	Loss 3.1693 (2.7701)	Prec@1 29.688 (34.059)	Prec@5 60.938 (64.404)
Epoch: [15][13890/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.7161 (2.7701)	Prec@1 39.062 (34.060)	Prec@5 65.625 (64.403)
Epoch: [15][13900/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.9876 (2.7701)	Prec@1 25.781 (34.059)	Prec@5 59.375 (64.404)
Epoch: [15][13910/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.8017 (2.7701)	Prec@1 34.375 (34.059)	Prec@5 65.625 (64.404)
Epoch: [15][13920/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.7876 (2.7701)	Prec@1 31.250 (34.058)	Prec@5 62.500 (64.405)
Epoch: [15][13930/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.4980 (2.7700)	Prec@1 40.625 (34.058)	Prec@5 67.969 (64.405)
Epoch: [15][13940/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.5424 (2.7700)	Prec@1 39.062 (34.058)	Prec@5 67.188 (64.404)
Epoch: [15][13950/14090]	Time 0.866 (0.766)	Data 0.001 (0.001)	Loss 2.6810 (2.7700)	Prec@1 36.719 (34.057)	Prec@5 72.656 (64.405)
Epoch: [15][13960/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 3.1870 (2.7700)	Prec@1 22.656 (34.057)	Prec@5 55.469 (64.404)
Epoch: [15][13970/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.6931 (2.7699)	Prec@1 33.594 (34.059)	Prec@5 67.188 (64.407)
Epoch: [15][13980/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 2.9523 (2.7699)	Prec@1 28.125 (34.058)	Prec@5 54.688 (64.407)
Epoch: [15][13990/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.7915 (2.7699)	Prec@1 33.594 (34.058)	Prec@5 68.750 (64.408)
Epoch: [15][14000/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.2105 (2.7698)	Prec@1 41.406 (34.059)	Prec@5 73.438 (64.409)
Epoch: [15][14010/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.5588 (2.7698)	Prec@1 33.594 (34.059)	Prec@5 69.531 (64.409)
Epoch: [15][14020/14090]	Time 0.855 (0.766)	Data 0.001 (0.001)	Loss 2.9651 (2.7698)	Prec@1 32.812 (34.059)	Prec@5 65.625 (64.410)
Epoch: [15][14030/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.6072 (2.7698)	Prec@1 35.156 (34.059)	Prec@5 68.750 (64.411)
Epoch: [15][14040/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.8147 (2.7697)	Prec@1 35.156 (34.060)	Prec@5 66.406 (64.412)
Epoch: [15][14050/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 2.7615 (2.7697)	Prec@1 32.812 (34.060)	Prec@5 61.719 (64.410)
Epoch: [15][14060/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.8798 (2.7697)	Prec@1 32.812 (34.060)	Prec@5 61.719 (64.410)
Epoch: [15][14070/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 2.4184 (2.7697)	Prec@1 36.719 (34.060)	Prec@5 71.875 (64.412)
Epoch: [15][14080/14090]	Time 0.745 (0.766)	Data 0.000 (0.001)	Loss 2.8799 (2.7697)	Prec@1 30.469 (34.061)	Prec@5 60.938 (64.411)
Test: [0/286]	Time 3.440 (3.440)	Loss 1.5497 (1.5497)	Prec@1 57.812 (57.812)	Prec@5 90.625 (90.625)
Test: [10/286]	Time 0.240 (0.545)	Loss 2.5424 (2.5033)	Prec@1 32.812 (38.707)	Prec@5 75.781 (72.940)
Test: [20/286]	Time 0.234 (0.411)	Loss 2.1395 (2.3214)	Prec@1 46.094 (41.853)	Prec@5 81.250 (75.856)
Test: [30/286]	Time 0.238 (0.361)	Loss 2.4311 (2.3282)	Prec@1 40.625 (41.835)	Prec@5 70.312 (74.294)
Test: [40/286]	Time 0.292 (0.342)	Loss 2.5317 (2.3316)	Prec@1 32.031 (41.482)	Prec@5 75.781 (74.047)
Test: [50/286]	Time 0.356 (0.329)	Loss 1.3604 (2.3712)	Prec@1 73.438 (40.411)	Prec@5 83.594 (73.146)
Test: [60/286]	Time 0.256 (0.316)	Loss 3.3874 (2.4177)	Prec@1 23.438 (39.652)	Prec@5 52.344 (71.555)
Test: [70/286]	Time 0.247 (0.309)	Loss 1.4315 (2.3669)	Prec@1 64.844 (40.834)	Prec@5 88.281 (72.392)
Test: [80/286]	Time 0.278 (0.304)	Loss 2.4579 (2.4025)	Prec@1 32.031 (39.882)	Prec@5 75.000 (71.692)
Test: [90/286]	Time 0.245 (0.303)	Loss 2.6879 (2.4265)	Prec@1 28.125 (39.294)	Prec@5 65.625 (71.274)
Test: [100/286]	Time 0.299 (0.302)	Loss 2.2795 (2.4205)	Prec@1 45.312 (39.302)	Prec@5 78.125 (71.728)
Test: [110/286]	Time 0.236 (0.298)	Loss 2.4592 (2.4418)	Prec@1 42.969 (38.739)	Prec@5 69.531 (71.375)
Test: [120/286]	Time 0.382 (0.297)	Loss 2.5778 (2.4085)	Prec@1 45.312 (39.585)	Prec@5 64.844 (71.946)
Test: [130/286]	Time 0.236 (0.295)	Loss 1.6032 (2.4072)	Prec@1 51.562 (39.701)	Prec@5 88.281 (72.060)
Test: [140/286]	Time 0.263 (0.294)	Loss 3.4472 (2.3967)	Prec@1 28.125 (40.071)	Prec@5 55.469 (72.340)
Test: [150/286]	Time 0.308 (0.292)	Loss 3.0439 (2.4088)	Prec@1 24.219 (39.756)	Prec@5 64.062 (72.480)
Test: [160/286]	Time 0.272 (0.291)	Loss 2.7575 (2.4122)	Prec@1 24.219 (39.679)	Prec@5 67.969 (72.520)
Test: [170/286]	Time 0.284 (0.290)	Loss 2.5290 (2.4089)	Prec@1 36.719 (39.789)	Prec@5 71.875 (72.547)
Test: [180/286]	Time 0.250 (0.289)	Loss 2.6998 (2.4292)	Prec@1 46.094 (39.382)	Prec@5 61.719 (72.169)
Test: [190/286]	Time 0.234 (0.288)	Loss 3.7400 (2.4563)	Prec@1 11.719 (38.854)	Prec@5 46.875 (71.703)
Test: [200/286]	Time 0.264 (0.287)	Loss 1.9598 (2.4404)	Prec@1 55.469 (39.237)	Prec@5 86.719 (71.964)
Test: [210/286]	Time 0.300 (0.287)	Loss 2.4741 (2.4425)	Prec@1 39.844 (39.122)	Prec@5 77.344 (71.905)
Test: [220/286]	Time 0.265 (0.287)	Loss 3.0322 (2.4402)	Prec@1 25.000 (39.253)	Prec@5 63.281 (71.949)
Test: [230/286]	Time 0.231 (0.286)	Loss 2.1929 (2.4418)	Prec@1 46.094 (39.157)	Prec@5 71.875 (71.929)
Test: [240/286]	Time 0.241 (0.286)	Loss 2.2921 (2.4420)	Prec@1 39.062 (39.218)	Prec@5 77.344 (71.988)
Test: [250/286]	Time 0.371 (0.286)	Loss 2.3136 (2.4353)	Prec@1 41.406 (39.212)	Prec@5 67.969 (72.202)
Test: [260/286]	Time 0.229 (0.286)	Loss 2.9638 (2.4301)	Prec@1 28.125 (39.287)	Prec@5 62.500 (72.381)
Test: [270/286]	Time 0.234 (0.285)	Loss 2.5385 (2.4333)	Prec@1 35.938 (39.158)	Prec@5 71.094 (72.336)
Test: [280/286]	Time 0.227 (0.284)	Loss 2.0271 (2.4143)	Prec@1 55.469 (39.733)	Prec@5 82.031 (72.578)
 * Prec@1 39.848 Prec@5 72.553
Epoch: [16][0/14090]	Time 4.480 (4.480)	Data 3.714 (3.714)	Loss 2.7177 (2.7177)	Prec@1 28.125 (28.125)	Prec@5 65.625 (65.625)
Epoch: [16][10/14090]	Time 0.750 (1.078)	Data 0.001 (0.338)	Loss 3.0802 (2.7524)	Prec@1 25.000 (33.949)	Prec@5 57.812 (64.418)
Epoch: [16][20/14090]	Time 0.754 (0.924)	Data 0.001 (0.178)	Loss 2.6476 (2.7557)	Prec@1 33.594 (34.189)	Prec@5 66.406 (64.323)
Epoch: [16][30/14090]	Time 0.753 (0.871)	Data 0.001 (0.121)	Loss 3.2607 (2.7911)	Prec@1 27.344 (33.493)	Prec@5 49.219 (63.432)
Epoch: [16][40/14090]	Time 0.742 (0.847)	Data 0.001 (0.091)	Loss 2.7354 (2.7727)	Prec@1 28.906 (33.803)	Prec@5 66.406 (64.082)
Epoch: [16][50/14090]	Time 0.743 (0.827)	Data 0.001 (0.074)	Loss 2.7476 (2.7696)	Prec@1 37.500 (33.624)	Prec@5 65.625 (64.369)
Epoch: [16][60/14090]	Time 0.895 (0.817)	Data 0.001 (0.062)	Loss 2.5787 (2.7607)	Prec@1 41.406 (34.055)	Prec@5 67.188 (64.857)
Epoch: [16][70/14090]	Time 0.727 (0.809)	Data 0.001 (0.053)	Loss 2.8353 (2.7546)	Prec@1 35.156 (34.001)	Prec@5 64.062 (64.976)
Epoch: [16][80/14090]	Time 0.757 (0.803)	Data 0.001 (0.047)	Loss 3.2752 (2.7616)	Prec@1 25.000 (34.095)	Prec@5 55.469 (64.786)
Epoch: [16][90/14090]	Time 0.766 (0.800)	Data 0.001 (0.042)	Loss 2.9626 (2.7613)	Prec@1 32.031 (33.963)	Prec@5 63.281 (64.921)
Epoch: [16][100/14090]	Time 0.763 (0.796)	Data 0.001 (0.038)	Loss 2.8920 (2.7737)	Prec@1 30.469 (33.594)	Prec@5 63.281 (64.643)
Epoch: [16][110/14090]	Time 0.766 (0.794)	Data 0.001 (0.034)	Loss 2.4159 (2.7752)	Prec@1 45.312 (33.559)	Prec@5 67.969 (64.569)
Epoch: [16][120/14090]	Time 0.764 (0.792)	Data 0.001 (0.031)	Loss 2.6272 (2.7751)	Prec@1 32.031 (33.581)	Prec@5 71.094 (64.489)
Epoch: [16][130/14090]	Time 0.918 (0.791)	Data 0.001 (0.029)	Loss 2.8211 (2.7782)	Prec@1 31.250 (33.516)	Prec@5 65.625 (64.468)
Epoch: [16][140/14090]	Time 0.734 (0.789)	Data 0.001 (0.027)	Loss 2.9084 (2.7717)	Prec@1 28.906 (33.633)	Prec@5 64.062 (64.633)
Epoch: [16][150/14090]	Time 0.742 (0.787)	Data 0.001 (0.025)	Loss 2.6018 (2.7717)	Prec@1 35.938 (33.651)	Prec@5 67.188 (64.507)
Epoch: [16][160/14090]	Time 0.751 (0.786)	Data 0.001 (0.024)	Loss 2.6806 (2.7661)	Prec@1 42.188 (33.768)	Prec@5 66.406 (64.591)
Epoch: [16][170/14090]	Time 0.756 (0.784)	Data 0.001 (0.022)	Loss 2.8427 (2.7653)	Prec@1 34.375 (33.776)	Prec@5 64.062 (64.597)
Epoch: [16][180/14090]	Time 0.734 (0.784)	Data 0.001 (0.021)	Loss 2.7760 (2.7649)	Prec@1 30.469 (33.814)	Prec@5 64.844 (64.529)
Epoch: [16][190/14090]	Time 0.728 (0.783)	Data 0.001 (0.020)	Loss 2.5617 (2.7634)	Prec@1 32.031 (33.872)	Prec@5 70.312 (64.541)
Epoch: [16][200/14090]	Time 0.868 (0.783)	Data 0.001 (0.019)	Loss 2.7214 (2.7643)	Prec@1 30.469 (33.889)	Prec@5 64.844 (64.568)
Epoch: [16][210/14090]	Time 0.731 (0.781)	Data 0.001 (0.018)	Loss 2.6928 (2.7624)	Prec@1 35.156 (33.938)	Prec@5 65.625 (64.648)
Epoch: [16][220/14090]	Time 0.743 (0.780)	Data 0.001 (0.018)	Loss 3.0784 (2.7600)	Prec@1 25.000 (33.965)	Prec@5 60.156 (64.656)
Epoch: [16][230/14090]	Time 0.780 (0.780)	Data 0.001 (0.017)	Loss 2.6370 (2.7595)	Prec@1 37.500 (33.939)	Prec@5 66.406 (64.654)
Epoch: [16][240/14090]	Time 0.762 (0.779)	Data 0.001 (0.016)	Loss 2.7429 (2.7595)	Prec@1 28.125 (33.976)	Prec@5 70.312 (64.659)
Epoch: [16][250/14090]	Time 0.743 (0.778)	Data 0.001 (0.016)	Loss 2.9263 (2.7580)	Prec@1 29.688 (34.033)	Prec@5 63.281 (64.688)
Epoch: [16][260/14090]	Time 0.720 (0.778)	Data 0.001 (0.015)	Loss 2.9353 (2.7600)	Prec@1 26.562 (34.031)	Prec@5 60.938 (64.628)
Epoch: [16][270/14090]	Time 0.808 (0.777)	Data 0.001 (0.014)	Loss 2.5796 (2.7584)	Prec@1 35.156 (34.015)	Prec@5 65.625 (64.633)
Epoch: [16][280/14090]	Time 0.725 (0.777)	Data 0.001 (0.014)	Loss 2.6970 (2.7547)	Prec@1 35.156 (34.108)	Prec@5 67.188 (64.713)
Epoch: [16][290/14090]	Time 0.783 (0.776)	Data 0.001 (0.014)	Loss 2.6326 (2.7552)	Prec@1 37.500 (34.109)	Prec@5 66.406 (64.720)
Epoch: [16][300/14090]	Time 0.731 (0.776)	Data 0.001 (0.013)	Loss 2.7076 (2.7550)	Prec@1 35.156 (34.167)	Prec@5 65.625 (64.724)
Epoch: [16][310/14090]	Time 0.747 (0.775)	Data 0.001 (0.013)	Loss 2.7309 (2.7555)	Prec@1 35.156 (34.159)	Prec@5 64.062 (64.675)
Epoch: [16][320/14090]	Time 0.748 (0.775)	Data 0.001 (0.012)	Loss 2.6037 (2.7544)	Prec@1 32.812 (34.161)	Prec@5 65.625 (64.734)
Epoch: [16][330/14090]	Time 0.755 (0.775)	Data 0.001 (0.012)	Loss 2.6149 (2.7544)	Prec@1 34.375 (34.177)	Prec@5 65.625 (64.723)
Epoch: [16][340/14090]	Time 0.842 (0.775)	Data 0.001 (0.012)	Loss 3.0465 (2.7561)	Prec@1 28.125 (34.180)	Prec@5 60.156 (64.704)
Epoch: [16][350/14090]	Time 0.747 (0.774)	Data 0.001 (0.011)	Loss 2.9113 (2.7565)	Prec@1 32.812 (34.152)	Prec@5 62.500 (64.706)
Epoch: [16][360/14090]	Time 0.731 (0.774)	Data 0.001 (0.011)	Loss 2.5690 (2.7572)	Prec@1 41.406 (34.133)	Prec@5 64.844 (64.707)
Epoch: [16][370/14090]	Time 0.762 (0.774)	Data 0.001 (0.011)	Loss 3.0448 (2.7574)	Prec@1 25.000 (34.122)	Prec@5 64.062 (64.635)
Epoch: [16][380/14090]	Time 0.749 (0.773)	Data 0.001 (0.011)	Loss 2.6648 (2.7560)	Prec@1 39.062 (34.164)	Prec@5 67.969 (64.690)
Epoch: [16][390/14090]	Time 0.734 (0.773)	Data 0.001 (0.010)	Loss 2.7762 (2.7559)	Prec@1 36.719 (34.207)	Prec@5 69.531 (64.710)
Epoch: [16][400/14090]	Time 0.727 (0.773)	Data 0.001 (0.010)	Loss 2.6249 (2.7546)	Prec@1 41.406 (34.192)	Prec@5 64.844 (64.756)
Epoch: [16][410/14090]	Time 0.849 (0.773)	Data 0.001 (0.010)	Loss 2.6941 (2.7544)	Prec@1 34.375 (34.204)	Prec@5 65.625 (64.751)
Epoch: [16][420/14090]	Time 0.766 (0.772)	Data 0.001 (0.010)	Loss 3.0470 (2.7562)	Prec@1 25.781 (34.163)	Prec@5 57.812 (64.688)
Epoch: [16][430/14090]	Time 0.732 (0.772)	Data 0.001 (0.009)	Loss 2.7935 (2.7561)	Prec@1 35.156 (34.168)	Prec@5 65.625 (64.706)
Epoch: [16][440/14090]	Time 0.740 (0.772)	Data 0.001 (0.009)	Loss 2.7367 (2.7573)	Prec@1 38.281 (34.177)	Prec@5 64.844 (64.674)
Epoch: [16][450/14090]	Time 0.749 (0.772)	Data 0.001 (0.009)	Loss 2.7336 (2.7575)	Prec@1 30.469 (34.178)	Prec@5 62.500 (64.641)
Epoch: [16][460/14090]	Time 0.737 (0.772)	Data 0.001 (0.009)	Loss 3.1335 (2.7584)	Prec@1 30.469 (34.150)	Prec@5 52.344 (64.601)
Epoch: [16][470/14090]	Time 0.753 (0.771)	Data 0.001 (0.009)	Loss 3.0740 (2.7587)	Prec@1 25.000 (34.161)	Prec@5 57.812 (64.585)
Epoch: [16][480/14090]	Time 0.891 (0.771)	Data 0.001 (0.008)	Loss 2.5309 (2.7595)	Prec@1 35.938 (34.157)	Prec@5 71.875 (64.603)
Epoch: [16][490/14090]	Time 0.740 (0.771)	Data 0.001 (0.008)	Loss 2.5450 (2.7591)	Prec@1 39.844 (34.186)	Prec@5 67.969 (64.615)
Epoch: [16][500/14090]	Time 0.760 (0.771)	Data 0.001 (0.008)	Loss 2.7583 (2.7598)	Prec@1 33.594 (34.157)	Prec@5 67.188 (64.635)
Epoch: [16][510/14090]	Time 0.745 (0.771)	Data 0.001 (0.008)	Loss 2.9152 (2.7596)	Prec@1 32.031 (34.172)	Prec@5 60.938 (64.619)
Epoch: [16][520/14090]	Time 0.733 (0.771)	Data 0.001 (0.008)	Loss 2.9471 (2.7601)	Prec@1 30.469 (34.155)	Prec@5 64.844 (64.620)
Epoch: [16][530/14090]	Time 0.768 (0.771)	Data 0.001 (0.008)	Loss 3.0439 (2.7593)	Prec@1 30.469 (34.175)	Prec@5 58.594 (64.630)
Epoch: [16][540/14090]	Time 0.754 (0.770)	Data 0.001 (0.008)	Loss 2.5423 (2.7568)	Prec@1 32.031 (34.179)	Prec@5 67.188 (64.678)
Epoch: [16][550/14090]	Time 0.878 (0.771)	Data 0.001 (0.008)	Loss 2.5032 (2.7573)	Prec@1 37.500 (34.164)	Prec@5 69.531 (64.695)
Epoch: [16][560/14090]	Time 0.748 (0.770)	Data 0.001 (0.007)	Loss 2.6712 (2.7563)	Prec@1 37.500 (34.165)	Prec@5 65.625 (64.721)
Epoch: [16][570/14090]	Time 0.759 (0.770)	Data 0.001 (0.007)	Loss 2.9432 (2.7569)	Prec@1 32.812 (34.193)	Prec@5 59.375 (64.721)
Epoch: [16][580/14090]	Time 0.739 (0.770)	Data 0.001 (0.007)	Loss 2.8458 (2.7576)	Prec@1 33.594 (34.181)	Prec@5 61.719 (64.701)
Epoch: [16][590/14090]	Time 0.765 (0.770)	Data 0.001 (0.007)	Loss 2.9196 (2.7578)	Prec@1 31.250 (34.156)	Prec@5 61.719 (64.693)
Epoch: [16][600/14090]	Time 0.754 (0.770)	Data 0.001 (0.007)	Loss 2.7288 (2.7562)	Prec@1 31.250 (34.155)	Prec@5 63.281 (64.714)
Epoch: [16][610/14090]	Time 0.769 (0.770)	Data 0.001 (0.007)	Loss 3.1583 (2.7572)	Prec@1 32.031 (34.133)	Prec@5 59.375 (64.685)
Epoch: [16][620/14090]	Time 0.828 (0.770)	Data 0.001 (0.007)	Loss 2.7857 (2.7570)	Prec@1 34.375 (34.128)	Prec@5 61.719 (64.676)
Epoch: [16][630/14090]	Time 0.746 (0.770)	Data 0.001 (0.007)	Loss 2.8702 (2.7570)	Prec@1 33.594 (34.104)	Prec@5 61.719 (64.688)
Epoch: [16][640/14090]	Time 0.750 (0.770)	Data 0.001 (0.007)	Loss 2.8514 (2.7571)	Prec@1 31.250 (34.109)	Prec@5 67.969 (64.705)
Epoch: [16][650/14090]	Time 0.731 (0.770)	Data 0.001 (0.006)	Loss 2.8714 (2.7572)	Prec@1 28.125 (34.091)	Prec@5 60.938 (64.705)
Epoch: [16][660/14090]	Time 0.724 (0.769)	Data 0.001 (0.006)	Loss 2.6764 (2.7575)	Prec@1 32.812 (34.072)	Prec@5 65.625 (64.688)
Epoch: [16][670/14090]	Time 0.759 (0.769)	Data 0.001 (0.006)	Loss 3.2722 (2.7585)	Prec@1 24.219 (34.062)	Prec@5 56.250 (64.677)
Epoch: [16][680/14090]	Time 0.759 (0.769)	Data 0.001 (0.006)	Loss 2.8842 (2.7588)	Prec@1 28.906 (34.076)	Prec@5 59.375 (64.667)
Epoch: [16][690/14090]	Time 0.854 (0.769)	Data 0.001 (0.006)	Loss 2.7279 (2.7593)	Prec@1 33.594 (34.078)	Prec@5 62.500 (64.647)
Epoch: [16][700/14090]	Time 0.758 (0.769)	Data 0.001 (0.006)	Loss 2.7980 (2.7591)	Prec@1 33.594 (34.080)	Prec@5 64.062 (64.625)
Epoch: [16][710/14090]	Time 0.737 (0.769)	Data 0.001 (0.006)	Loss 2.8998 (2.7588)	Prec@1 35.156 (34.078)	Prec@5 61.719 (64.636)
Epoch: [16][720/14090]	Time 0.758 (0.769)	Data 0.001 (0.006)	Loss 3.1578 (2.7592)	Prec@1 30.469 (34.111)	Prec@5 53.125 (64.613)
Epoch: [16][730/14090]	Time 0.752 (0.769)	Data 0.001 (0.006)	Loss 2.8601 (2.7598)	Prec@1 27.344 (34.083)	Prec@5 67.188 (64.609)
Epoch: [16][740/14090]	Time 0.755 (0.769)	Data 0.001 (0.006)	Loss 2.4534 (2.7586)	Prec@1 42.188 (34.086)	Prec@5 69.531 (64.632)
Epoch: [16][750/14090]	Time 0.756 (0.769)	Data 0.001 (0.006)	Loss 3.0378 (2.7591)	Prec@1 29.688 (34.068)	Prec@5 57.812 (64.615)
Epoch: [16][760/14090]	Time 0.875 (0.769)	Data 0.001 (0.006)	Loss 3.1053 (2.7604)	Prec@1 32.031 (34.071)	Prec@5 57.812 (64.599)
Epoch: [16][770/14090]	Time 0.759 (0.769)	Data 0.001 (0.006)	Loss 2.7727 (2.7599)	Prec@1 34.375 (34.082)	Prec@5 67.188 (64.623)
Epoch: [16][780/14090]	Time 0.736 (0.768)	Data 0.001 (0.006)	Loss 2.8217 (2.7606)	Prec@1 39.062 (34.080)	Prec@5 64.844 (64.628)
Epoch: [16][790/14090]	Time 0.745 (0.768)	Data 0.001 (0.005)	Loss 3.0513 (2.7608)	Prec@1 30.469 (34.083)	Prec@5 53.125 (64.603)
Epoch: [16][800/14090]	Time 0.734 (0.768)	Data 0.001 (0.005)	Loss 2.8222 (2.7610)	Prec@1 31.250 (34.079)	Prec@5 64.062 (64.610)
Epoch: [16][810/14090]	Time 0.753 (0.768)	Data 0.001 (0.005)	Loss 2.8658 (2.7611)	Prec@1 35.156 (34.118)	Prec@5 62.500 (64.609)
Epoch: [16][820/14090]	Time 0.757 (0.768)	Data 0.001 (0.005)	Loss 2.8308 (2.7617)	Prec@1 30.469 (34.097)	Prec@5 67.188 (64.610)
Epoch: [16][830/14090]	Time 0.835 (0.768)	Data 0.001 (0.005)	Loss 2.9143 (2.7624)	Prec@1 33.594 (34.068)	Prec@5 63.281 (64.606)
Epoch: [16][840/14090]	Time 0.738 (0.768)	Data 0.001 (0.005)	Loss 2.8282 (2.7626)	Prec@1 29.688 (34.059)	Prec@5 61.719 (64.588)
Epoch: [16][850/14090]	Time 0.752 (0.768)	Data 0.001 (0.005)	Loss 2.7686 (2.7626)	Prec@1 29.688 (34.055)	Prec@5 64.844 (64.590)
Epoch: [16][860/14090]	Time 0.740 (0.768)	Data 0.001 (0.005)	Loss 2.8058 (2.7623)	Prec@1 32.031 (34.059)	Prec@5 67.188 (64.589)
Epoch: [16][870/14090]	Time 0.775 (0.768)	Data 0.001 (0.005)	Loss 2.7650 (2.7618)	Prec@1 35.156 (34.072)	Prec@5 60.938 (64.593)
Epoch: [16][880/14090]	Time 0.726 (0.768)	Data 0.001 (0.005)	Loss 3.2008 (2.7624)	Prec@1 26.562 (34.073)	Prec@5 53.906 (64.565)
Epoch: [16][890/14090]	Time 0.752 (0.768)	Data 0.001 (0.005)	Loss 2.6194 (2.7619)	Prec@1 35.156 (34.073)	Prec@5 67.188 (64.578)
Epoch: [16][900/14090]	Time 0.851 (0.768)	Data 0.001 (0.005)	Loss 2.8684 (2.7616)	Prec@1 33.594 (34.091)	Prec@5 64.844 (64.588)
Epoch: [16][910/14090]	Time 0.777 (0.768)	Data 0.001 (0.005)	Loss 2.7136 (2.7614)	Prec@1 33.594 (34.101)	Prec@5 69.531 (64.574)
Epoch: [16][920/14090]	Time 0.736 (0.768)	Data 0.001 (0.005)	Loss 2.5614 (2.7618)	Prec@1 38.281 (34.103)	Prec@5 64.062 (64.559)
Epoch: [16][930/14090]	Time 0.759 (0.768)	Data 0.001 (0.005)	Loss 2.7806 (2.7609)	Prec@1 30.469 (34.104)	Prec@5 64.844 (64.583)
Epoch: [16][940/14090]	Time 0.758 (0.768)	Data 0.001 (0.005)	Loss 2.6526 (2.7610)	Prec@1 35.156 (34.111)	Prec@5 67.969 (64.576)
Epoch: [16][950/14090]	Time 0.731 (0.768)	Data 0.001 (0.005)	Loss 2.7796 (2.7604)	Prec@1 31.250 (34.120)	Prec@5 60.156 (64.583)
Epoch: [16][960/14090]	Time 0.735 (0.768)	Data 0.001 (0.005)	Loss 2.8569 (2.7610)	Prec@1 29.688 (34.121)	Prec@5 57.812 (64.567)
Epoch: [16][970/14090]	Time 0.897 (0.768)	Data 0.001 (0.005)	Loss 2.7204 (2.7608)	Prec@1 32.031 (34.127)	Prec@5 66.406 (64.579)
Epoch: [16][980/14090]	Time 0.744 (0.768)	Data 0.001 (0.005)	Loss 2.6150 (2.7618)	Prec@1 38.281 (34.114)	Prec@5 67.188 (64.547)
Epoch: [16][990/14090]	Time 0.780 (0.768)	Data 0.001 (0.005)	Loss 2.7044 (2.7615)	Prec@1 35.938 (34.120)	Prec@5 64.062 (64.543)
Epoch: [16][1000/14090]	Time 0.750 (0.768)	Data 0.001 (0.004)	Loss 3.0203 (2.7618)	Prec@1 29.688 (34.110)	Prec@5 59.375 (64.550)
Epoch: [16][1010/14090]	Time 0.724 (0.767)	Data 0.001 (0.004)	Loss 2.6648 (2.7607)	Prec@1 33.594 (34.132)	Prec@5 67.969 (64.563)
Epoch: [16][1020/14090]	Time 0.746 (0.767)	Data 0.001 (0.004)	Loss 2.9000 (2.7605)	Prec@1 32.031 (34.139)	Prec@5 62.500 (64.561)
Epoch: [16][1030/14090]	Time 0.731 (0.767)	Data 0.001 (0.004)	Loss 2.9907 (2.7615)	Prec@1 25.781 (34.128)	Prec@5 56.250 (64.532)
Epoch: [16][1040/14090]	Time 0.835 (0.767)	Data 0.001 (0.004)	Loss 2.8201 (2.7618)	Prec@1 32.031 (34.128)	Prec@5 57.812 (64.521)
Epoch: [16][1050/14090]	Time 0.760 (0.767)	Data 0.001 (0.004)	Loss 2.6449 (2.7615)	Prec@1 31.250 (34.135)	Prec@5 65.625 (64.529)
Epoch: [16][1060/14090]	Time 0.760 (0.767)	Data 0.001 (0.004)	Loss 2.6918 (2.7611)	Prec@1 35.156 (34.147)	Prec@5 66.406 (64.534)
Epoch: [16][1070/14090]	Time 0.748 (0.767)	Data 0.001 (0.004)	Loss 2.8258 (2.7607)	Prec@1 32.031 (34.151)	Prec@5 62.500 (64.541)
Epoch: [16][1080/14090]	Time 0.741 (0.767)	Data 0.001 (0.004)	Loss 2.7047 (2.7609)	Prec@1 31.250 (34.140)	Prec@5 65.625 (64.543)
Epoch: [16][1090/14090]	Time 0.751 (0.767)	Data 0.001 (0.004)	Loss 2.6589 (2.7607)	Prec@1 32.031 (34.146)	Prec@5 69.531 (64.560)
Epoch: [16][1100/14090]	Time 0.753 (0.767)	Data 0.001 (0.004)	Loss 3.1078 (2.7611)	Prec@1 25.781 (34.135)	Prec@5 57.812 (64.552)
Epoch: [16][1110/14090]	Time 0.865 (0.767)	Data 0.001 (0.004)	Loss 2.9214 (2.7605)	Prec@1 34.375 (34.156)	Prec@5 60.938 (64.561)
Epoch: [16][1120/14090]	Time 0.743 (0.767)	Data 0.001 (0.004)	Loss 2.4873 (2.7602)	Prec@1 37.500 (34.166)	Prec@5 70.312 (64.580)
Epoch: [16][1130/14090]	Time 0.739 (0.767)	Data 0.001 (0.004)	Loss 2.5674 (2.7598)	Prec@1 44.531 (34.176)	Prec@5 68.750 (64.587)
Epoch: [16][1140/14090]	Time 0.726 (0.767)	Data 0.001 (0.004)	Loss 2.6188 (2.7592)	Prec@1 35.938 (34.191)	Prec@5 73.438 (64.608)
Epoch: [16][1150/14090]	Time 0.750 (0.767)	Data 0.001 (0.004)	Loss 2.4155 (2.7584)	Prec@1 45.312 (34.222)	Prec@5 74.219 (64.629)
Epoch: [16][1160/14090]	Time 0.771 (0.767)	Data 0.001 (0.004)	Loss 3.1222 (2.7586)	Prec@1 33.594 (34.216)	Prec@5 57.031 (64.624)
Epoch: [16][1170/14090]	Time 0.762 (0.767)	Data 0.001 (0.004)	Loss 3.0034 (2.7582)	Prec@1 23.438 (34.230)	Prec@5 61.719 (64.624)
Epoch: [16][1180/14090]	Time 0.835 (0.767)	Data 0.001 (0.004)	Loss 2.9084 (2.7588)	Prec@1 25.000 (34.231)	Prec@5 62.500 (64.619)
Epoch: [16][1190/14090]	Time 0.764 (0.767)	Data 0.001 (0.004)	Loss 2.8181 (2.7597)	Prec@1 29.688 (34.212)	Prec@5 65.625 (64.608)
Epoch: [16][1200/14090]	Time 0.749 (0.767)	Data 0.001 (0.004)	Loss 2.5137 (2.7590)	Prec@1 36.719 (34.231)	Prec@5 70.312 (64.617)
Epoch: [16][1210/14090]	Time 0.757 (0.767)	Data 0.001 (0.004)	Loss 2.9272 (2.7593)	Prec@1 28.125 (34.216)	Prec@5 59.375 (64.613)
Epoch: [16][1220/14090]	Time 0.738 (0.767)	Data 0.001 (0.004)	Loss 2.7243 (2.7588)	Prec@1 36.719 (34.221)	Prec@5 64.844 (64.613)
Epoch: [16][1230/14090]	Time 0.745 (0.767)	Data 0.001 (0.004)	Loss 2.2899 (2.7582)	Prec@1 46.094 (34.228)	Prec@5 72.656 (64.632)
Epoch: [16][1240/14090]	Time 0.727 (0.767)	Data 0.001 (0.004)	Loss 3.0736 (2.7590)	Prec@1 24.219 (34.200)	Prec@5 54.688 (64.605)
Epoch: [16][1250/14090]	Time 0.834 (0.767)	Data 0.001 (0.004)	Loss 2.9349 (2.7590)	Prec@1 34.375 (34.203)	Prec@5 60.156 (64.610)
Epoch: [16][1260/14090]	Time 0.748 (0.767)	Data 0.001 (0.004)	Loss 2.3086 (2.7584)	Prec@1 41.406 (34.223)	Prec@5 71.094 (64.629)
Epoch: [16][1270/14090]	Time 0.753 (0.767)	Data 0.001 (0.004)	Loss 2.8080 (2.7592)	Prec@1 36.719 (34.218)	Prec@5 64.062 (64.626)
Epoch: [16][1280/14090]	Time 0.738 (0.767)	Data 0.001 (0.004)	Loss 2.8237 (2.7587)	Prec@1 31.250 (34.229)	Prec@5 67.188 (64.630)
Epoch: [16][1290/14090]	Time 0.742 (0.767)	Data 0.001 (0.004)	Loss 2.9857 (2.7584)	Prec@1 29.688 (34.231)	Prec@5 54.688 (64.627)
Epoch: [16][1300/14090]	Time 0.759 (0.767)	Data 0.001 (0.004)	Loss 2.9393 (2.7583)	Prec@1 28.906 (34.238)	Prec@5 60.156 (64.628)
Epoch: [16][1310/14090]	Time 0.765 (0.767)	Data 0.001 (0.004)	Loss 2.5974 (2.7578)	Prec@1 35.156 (34.238)	Prec@5 66.406 (64.639)
Epoch: [16][1320/14090]	Time 0.881 (0.767)	Data 0.001 (0.004)	Loss 2.7670 (2.7584)	Prec@1 32.812 (34.238)	Prec@5 59.375 (64.620)
Epoch: [16][1330/14090]	Time 0.739 (0.767)	Data 0.001 (0.004)	Loss 2.6436 (2.7581)	Prec@1 34.375 (34.239)	Prec@5 63.281 (64.618)
Epoch: [16][1340/14090]	Time 0.744 (0.767)	Data 0.001 (0.004)	Loss 2.7913 (2.7579)	Prec@1 33.594 (34.241)	Prec@5 66.406 (64.626)
Epoch: [16][1350/14090]	Time 0.748 (0.767)	Data 0.001 (0.004)	Loss 2.7164 (2.7579)	Prec@1 35.938 (34.233)	Prec@5 67.969 (64.629)
Epoch: [16][1360/14090]	Time 0.783 (0.767)	Data 0.001 (0.004)	Loss 2.6106 (2.7582)	Prec@1 34.375 (34.238)	Prec@5 67.188 (64.626)
Epoch: [16][1370/14090]	Time 0.753 (0.767)	Data 0.001 (0.003)	Loss 2.7065 (2.7580)	Prec@1 39.062 (34.241)	Prec@5 65.625 (64.641)
Epoch: [16][1380/14090]	Time 0.763 (0.766)	Data 0.001 (0.003)	Loss 2.8379 (2.7578)	Prec@1 34.375 (34.241)	Prec@5 62.500 (64.651)
Epoch: [16][1390/14090]	Time 0.867 (0.767)	Data 0.001 (0.003)	Loss 2.5464 (2.7572)	Prec@1 38.281 (34.260)	Prec@5 64.062 (64.651)
Epoch: [16][1400/14090]	Time 0.760 (0.766)	Data 0.001 (0.003)	Loss 2.4902 (2.7566)	Prec@1 39.062 (34.267)	Prec@5 68.750 (64.661)
Epoch: [16][1410/14090]	Time 0.731 (0.766)	Data 0.001 (0.003)	Loss 2.6166 (2.7565)	Prec@1 42.188 (34.259)	Prec@5 68.750 (64.670)
Epoch: [16][1420/14090]	Time 0.745 (0.766)	Data 0.001 (0.003)	Loss 2.6516 (2.7560)	Prec@1 31.250 (34.267)	Prec@5 64.844 (64.671)
Epoch: [16][1430/14090]	Time 0.761 (0.766)	Data 0.001 (0.003)	Loss 3.0257 (2.7564)	Prec@1 32.812 (34.264)	Prec@5 60.938 (64.660)
Epoch: [16][1440/14090]	Time 0.748 (0.766)	Data 0.001 (0.003)	Loss 2.9084 (2.7564)	Prec@1 33.594 (34.269)	Prec@5 60.938 (64.660)
Epoch: [16][1450/14090]	Time 0.729 (0.766)	Data 0.001 (0.003)	Loss 2.4791 (2.7561)	Prec@1 45.312 (34.273)	Prec@5 66.406 (64.664)
Epoch: [16][1460/14090]	Time 0.857 (0.766)	Data 0.001 (0.003)	Loss 2.6946 (2.7565)	Prec@1 32.812 (34.257)	Prec@5 63.281 (64.661)
Epoch: [16][1470/14090]	Time 0.753 (0.766)	Data 0.001 (0.003)	Loss 2.7200 (2.7562)	Prec@1 35.938 (34.261)	Prec@5 65.625 (64.669)
Epoch: [16][1480/14090]	Time 0.759 (0.766)	Data 0.001 (0.003)	Loss 2.4787 (2.7559)	Prec@1 42.969 (34.273)	Prec@5 71.875 (64.678)
Epoch: [16][1490/14090]	Time 0.732 (0.766)	Data 0.001 (0.003)	Loss 2.6066 (2.7553)	Prec@1 39.062 (34.279)	Prec@5 68.750 (64.693)
Epoch: [16][1500/14090]	Time 0.753 (0.766)	Data 0.001 (0.003)	Loss 2.8509 (2.7549)	Prec@1 33.594 (34.287)	Prec@5 58.594 (64.691)
Epoch: [16][1510/14090]	Time 0.759 (0.766)	Data 0.001 (0.003)	Loss 2.7918 (2.7553)	Prec@1 34.375 (34.273)	Prec@5 64.062 (64.686)
Epoch: [16][1520/14090]	Time 0.744 (0.766)	Data 0.001 (0.003)	Loss 2.7578 (2.7553)	Prec@1 32.812 (34.282)	Prec@5 61.719 (64.685)
Epoch: [16][1530/14090]	Time 0.856 (0.766)	Data 0.001 (0.003)	Loss 2.9875 (2.7556)	Prec@1 25.781 (34.278)	Prec@5 61.719 (64.685)
Epoch: [16][1540/14090]	Time 0.747 (0.766)	Data 0.001 (0.003)	Loss 2.5965 (2.7552)	Prec@1 37.500 (34.284)	Prec@5 64.844 (64.681)
Epoch: [16][1550/14090]	Time 0.743 (0.766)	Data 0.001 (0.003)	Loss 2.8528 (2.7555)	Prec@1 31.250 (34.282)	Prec@5 66.406 (64.680)
Epoch: [16][1560/14090]	Time 0.728 (0.766)	Data 0.001 (0.003)	Loss 2.9500 (2.7562)	Prec@1 34.375 (34.279)	Prec@5 65.625 (64.666)
Epoch: [16][1570/14090]	Time 0.741 (0.766)	Data 0.001 (0.003)	Loss 2.3973 (2.7560)	Prec@1 35.156 (34.276)	Prec@5 69.531 (64.663)
Epoch: [16][1580/14090]	Time 0.731 (0.766)	Data 0.001 (0.003)	Loss 2.6721 (2.7557)	Prec@1 40.625 (34.279)	Prec@5 65.625 (64.672)
Epoch: [16][1590/14090]	Time 0.752 (0.766)	Data 0.001 (0.003)	Loss 2.9195 (2.7552)	Prec@1 33.594 (34.290)	Prec@5 60.938 (64.677)
Epoch: [16][1600/14090]	Time 0.863 (0.766)	Data 0.001 (0.003)	Loss 3.1333 (2.7554)	Prec@1 27.344 (34.282)	Prec@5 56.250 (64.670)
Epoch: [16][1610/14090]	Time 0.751 (0.766)	Data 0.001 (0.003)	Loss 2.6774 (2.7549)	Prec@1 31.250 (34.284)	Prec@5 64.062 (64.680)
Epoch: [16][1620/14090]	Time 0.749 (0.766)	Data 0.001 (0.003)	Loss 2.7218 (2.7548)	Prec@1 34.375 (34.299)	Prec@5 65.625 (64.684)
Epoch: [16][1630/14090]	Time 0.781 (0.766)	Data 0.001 (0.003)	Loss 2.9271 (2.7554)	Prec@1 29.688 (34.284)	Prec@5 58.594 (64.664)
Epoch: [16][1640/14090]	Time 0.744 (0.766)	Data 0.001 (0.003)	Loss 2.8727 (2.7556)	Prec@1 35.156 (34.281)	Prec@5 61.719 (64.656)
Epoch: [16][1650/14090]	Time 0.755 (0.766)	Data 0.001 (0.003)	Loss 2.5688 (2.7556)	Prec@1 35.156 (34.276)	Prec@5 67.188 (64.664)
Epoch: [16][1660/14090]	Time 0.753 (0.766)	Data 0.001 (0.003)	Loss 3.1507 (2.7561)	Prec@1 27.344 (34.274)	Prec@5 53.906 (64.657)
Epoch: [16][1670/14090]	Time 0.873 (0.766)	Data 0.001 (0.003)	Loss 2.8484 (2.7560)	Prec@1 36.719 (34.280)	Prec@5 70.312 (64.653)
Epoch: [16][1680/14090]	Time 0.756 (0.766)	Data 0.001 (0.003)	Loss 2.8448 (2.7564)	Prec@1 32.812 (34.271)	Prec@5 70.312 (64.646)
Epoch: [16][1690/14090]	Time 0.730 (0.766)	Data 0.001 (0.003)	Loss 2.8017 (2.7563)	Prec@1 33.594 (34.266)	Prec@5 62.500 (64.646)
Epoch: [16][1700/14090]	Time 0.746 (0.766)	Data 0.001 (0.003)	Loss 2.4879 (2.7562)	Prec@1 39.844 (34.272)	Prec@5 67.969 (64.640)
Epoch: [16][1710/14090]	Time 0.757 (0.766)	Data 0.001 (0.003)	Loss 3.1092 (2.7563)	Prec@1 28.906 (34.275)	Prec@5 58.594 (64.644)
Epoch: [16][1720/14090]	Time 0.753 (0.766)	Data 0.001 (0.003)	Loss 2.7348 (2.7562)	Prec@1 36.719 (34.276)	Prec@5 67.969 (64.650)
Epoch: [16][1730/14090]	Time 0.760 (0.766)	Data 0.001 (0.003)	Loss 2.6500 (2.7561)	Prec@1 37.500 (34.287)	Prec@5 65.625 (64.647)
Epoch: [16][1740/14090]	Time 0.863 (0.766)	Data 0.001 (0.003)	Loss 2.7711 (2.7563)	Prec@1 35.156 (34.284)	Prec@5 65.625 (64.645)
Epoch: [16][1750/14090]	Time 0.749 (0.766)	Data 0.001 (0.003)	Loss 2.5146 (2.7567)	Prec@1 41.406 (34.294)	Prec@5 67.188 (64.632)
Epoch: [16][1760/14090]	Time 0.770 (0.766)	Data 0.001 (0.003)	Loss 2.9737 (2.7574)	Prec@1 28.125 (34.289)	Prec@5 61.719 (64.622)
Epoch: [16][1770/14090]	Time 0.754 (0.766)	Data 0.001 (0.003)	Loss 2.7956 (2.7581)	Prec@1 32.812 (34.285)	Prec@5 65.625 (64.600)
Epoch: [16][1780/14090]	Time 0.760 (0.766)	Data 0.001 (0.003)	Loss 2.6349 (2.7580)	Prec@1 38.281 (34.291)	Prec@5 64.844 (64.599)
Epoch: [16][1790/14090]	Time 0.728 (0.766)	Data 0.001 (0.003)	Loss 3.0516 (2.7582)	Prec@1 32.031 (34.289)	Prec@5 59.375 (64.591)
Epoch: [16][1800/14090]	Time 0.750 (0.766)	Data 0.001 (0.003)	Loss 2.6507 (2.7585)	Prec@1 33.594 (34.283)	Prec@5 68.750 (64.585)
Epoch: [16][1810/14090]	Time 0.871 (0.766)	Data 0.001 (0.003)	Loss 2.9488 (2.7585)	Prec@1 28.906 (34.281)	Prec@5 60.156 (64.581)
Epoch: [16][1820/14090]	Time 0.733 (0.766)	Data 0.001 (0.003)	Loss 2.6312 (2.7578)	Prec@1 37.500 (34.298)	Prec@5 65.625 (64.590)
Epoch: [16][1830/14090]	Time 0.735 (0.766)	Data 0.001 (0.003)	Loss 2.4481 (2.7578)	Prec@1 35.938 (34.300)	Prec@5 68.750 (64.588)
Epoch: [16][1840/14090]	Time 0.746 (0.766)	Data 0.001 (0.003)	Loss 2.6045 (2.7574)	Prec@1 38.281 (34.313)	Prec@5 67.969 (64.593)
Epoch: [16][1850/14090]	Time 0.742 (0.766)	Data 0.001 (0.003)	Loss 2.7568 (2.7575)	Prec@1 38.281 (34.312)	Prec@5 67.188 (64.590)
Epoch: [16][1860/14090]	Time 0.754 (0.766)	Data 0.001 (0.003)	Loss 2.4661 (2.7575)	Prec@1 42.188 (34.309)	Prec@5 71.875 (64.594)
Epoch: [16][1870/14090]	Time 0.771 (0.766)	Data 0.001 (0.003)	Loss 2.6303 (2.7583)	Prec@1 37.500 (34.300)	Prec@5 71.094 (64.583)
Epoch: [16][1880/14090]	Time 0.831 (0.766)	Data 0.001 (0.003)	Loss 2.9391 (2.7584)	Prec@1 35.938 (34.303)	Prec@5 64.062 (64.580)
Epoch: [16][1890/14090]	Time 0.753 (0.766)	Data 0.001 (0.003)	Loss 2.7331 (2.7584)	Prec@1 32.031 (34.300)	Prec@5 67.188 (64.585)
Epoch: [16][1900/14090]	Time 0.731 (0.766)	Data 0.001 (0.003)	Loss 2.6408 (2.7583)	Prec@1 32.812 (34.302)	Prec@5 67.188 (64.586)
Epoch: [16][1910/14090]	Time 0.731 (0.766)	Data 0.001 (0.003)	Loss 2.8170 (2.7581)	Prec@1 34.375 (34.306)	Prec@5 60.938 (64.592)
Epoch: [16][1920/14090]	Time 0.744 (0.766)	Data 0.001 (0.003)	Loss 2.9308 (2.7579)	Prec@1 29.688 (34.309)	Prec@5 62.500 (64.594)
Epoch: [16][1930/14090]	Time 0.764 (0.766)	Data 0.001 (0.003)	Loss 2.9228 (2.7580)	Prec@1 32.812 (34.318)	Prec@5 60.156 (64.589)
Epoch: [16][1940/14090]	Time 0.725 (0.766)	Data 0.001 (0.003)	Loss 2.9728 (2.7585)	Prec@1 24.219 (34.300)	Prec@5 59.375 (64.574)
Epoch: [16][1950/14090]	Time 0.825 (0.766)	Data 0.001 (0.003)	Loss 2.9359 (2.7589)	Prec@1 32.812 (34.292)	Prec@5 64.844 (64.571)
Epoch: [16][1960/14090]	Time 0.745 (0.766)	Data 0.001 (0.003)	Loss 2.6483 (2.7593)	Prec@1 33.594 (34.299)	Prec@5 67.969 (64.561)
Epoch: [16][1970/14090]	Time 0.736 (0.766)	Data 0.001 (0.003)	Loss 2.7367 (2.7595)	Prec@1 33.594 (34.296)	Prec@5 60.156 (64.555)
Epoch: [16][1980/14090]	Time 0.775 (0.766)	Data 0.001 (0.003)	Loss 2.5524 (2.7592)	Prec@1 42.188 (34.300)	Prec@5 66.406 (64.556)
Epoch: [16][1990/14090]	Time 0.746 (0.766)	Data 0.001 (0.003)	Loss 2.4053 (2.7589)	Prec@1 40.625 (34.302)	Prec@5 73.438 (64.562)
Epoch: [16][2000/14090]	Time 0.755 (0.766)	Data 0.001 (0.003)	Loss 2.9068 (2.7586)	Prec@1 25.781 (34.310)	Prec@5 65.625 (64.572)
Epoch: [16][2010/14090]	Time 0.740 (0.766)	Data 0.001 (0.003)	Loss 2.4690 (2.7583)	Prec@1 41.406 (34.315)	Prec@5 75.000 (64.580)
Epoch: [16][2020/14090]	Time 0.833 (0.766)	Data 0.001 (0.003)	Loss 2.7957 (2.7585)	Prec@1 29.688 (34.303)	Prec@5 71.094 (64.574)
Epoch: [16][2030/14090]	Time 0.738 (0.766)	Data 0.001 (0.003)	Loss 3.0926 (2.7587)	Prec@1 32.031 (34.300)	Prec@5 57.812 (64.571)
Epoch: [16][2040/14090]	Time 0.737 (0.766)	Data 0.001 (0.003)	Loss 2.7103 (2.7586)	Prec@1 32.812 (34.297)	Prec@5 66.406 (64.568)
Epoch: [16][2050/14090]	Time 0.743 (0.766)	Data 0.001 (0.003)	Loss 2.7542 (2.7584)	Prec@1 36.719 (34.298)	Prec@5 63.281 (64.567)
Epoch: [16][2060/14090]	Time 0.775 (0.766)	Data 0.001 (0.003)	Loss 3.0827 (2.7590)	Prec@1 26.562 (34.286)	Prec@5 57.812 (64.553)
Epoch: [16][2070/14090]	Time 0.767 (0.766)	Data 0.001 (0.003)	Loss 2.8385 (2.7588)	Prec@1 39.062 (34.297)	Prec@5 58.594 (64.548)
Epoch: [16][2080/14090]	Time 0.764 (0.766)	Data 0.001 (0.003)	Loss 2.4334 (2.7587)	Prec@1 42.188 (34.304)	Prec@5 71.094 (64.548)
Epoch: [16][2090/14090]	Time 0.862 (0.766)	Data 0.003 (0.003)	Loss 2.7025 (2.7589)	Prec@1 36.719 (34.301)	Prec@5 64.844 (64.546)
Epoch: [16][2100/14090]	Time 0.755 (0.766)	Data 0.001 (0.003)	Loss 2.8013 (2.7588)	Prec@1 32.031 (34.302)	Prec@5 61.719 (64.549)
Epoch: [16][2110/14090]	Time 0.743 (0.766)	Data 0.001 (0.003)	Loss 2.7940 (2.7588)	Prec@1 31.250 (34.297)	Prec@5 67.188 (64.547)
Epoch: [16][2120/14090]	Time 0.731 (0.766)	Data 0.001 (0.003)	Loss 2.8952 (2.7587)	Prec@1 32.031 (34.298)	Prec@5 63.281 (64.552)
Epoch: [16][2130/14090]	Time 0.752 (0.766)	Data 0.001 (0.003)	Loss 2.2598 (2.7582)	Prec@1 45.312 (34.305)	Prec@5 80.469 (64.563)
Epoch: [16][2140/14090]	Time 0.736 (0.766)	Data 0.001 (0.003)	Loss 2.5828 (2.7578)	Prec@1 39.062 (34.307)	Prec@5 63.281 (64.567)
Epoch: [16][2150/14090]	Time 0.753 (0.766)	Data 0.001 (0.003)	Loss 2.8079 (2.7579)	Prec@1 28.906 (34.299)	Prec@5 62.500 (64.563)
Epoch: [16][2160/14090]	Time 0.871 (0.766)	Data 0.001 (0.003)	Loss 2.6343 (2.7576)	Prec@1 37.500 (34.313)	Prec@5 66.406 (64.569)
Epoch: [16][2170/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 2.7851 (2.7574)	Prec@1 37.500 (34.315)	Prec@5 67.969 (64.572)
Epoch: [16][2180/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 2.5784 (2.7577)	Prec@1 35.156 (34.306)	Prec@5 67.969 (64.564)
Epoch: [16][2190/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.6841 (2.7571)	Prec@1 37.500 (34.322)	Prec@5 65.625 (64.580)
Epoch: [16][2200/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 2.7347 (2.7569)	Prec@1 32.812 (34.329)	Prec@5 62.500 (64.586)
Epoch: [16][2210/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 2.5202 (2.7563)	Prec@1 42.188 (34.340)	Prec@5 67.969 (64.600)
Epoch: [16][2220/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.7505 (2.7563)	Prec@1 29.688 (34.337)	Prec@5 62.500 (64.604)
Epoch: [16][2230/14090]	Time 0.848 (0.766)	Data 0.001 (0.002)	Loss 3.2591 (2.7569)	Prec@1 27.344 (34.328)	Prec@5 53.906 (64.595)
Epoch: [16][2240/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.9960 (2.7571)	Prec@1 25.000 (34.328)	Prec@5 63.281 (64.594)
Epoch: [16][2250/14090]	Time 0.764 (0.766)	Data 0.001 (0.002)	Loss 2.7098 (2.7570)	Prec@1 39.844 (34.331)	Prec@5 64.844 (64.595)
Epoch: [16][2260/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 2.8380 (2.7569)	Prec@1 26.562 (34.333)	Prec@5 66.406 (64.597)
Epoch: [16][2270/14090]	Time 0.727 (0.766)	Data 0.001 (0.002)	Loss 2.7787 (2.7568)	Prec@1 36.719 (34.335)	Prec@5 65.625 (64.595)
Epoch: [16][2280/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.5741 (2.7564)	Prec@1 39.844 (34.340)	Prec@5 65.625 (64.602)
Epoch: [16][2290/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 2.6590 (2.7566)	Prec@1 35.156 (34.337)	Prec@5 64.062 (64.599)
Epoch: [16][2300/14090]	Time 0.892 (0.766)	Data 0.001 (0.002)	Loss 2.6875 (2.7564)	Prec@1 32.812 (34.338)	Prec@5 65.625 (64.600)
Epoch: [16][2310/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 2.8344 (2.7560)	Prec@1 38.281 (34.349)	Prec@5 59.375 (64.608)
Epoch: [16][2320/14090]	Time 0.765 (0.766)	Data 0.001 (0.002)	Loss 2.7332 (2.7561)	Prec@1 41.406 (34.349)	Prec@5 66.406 (64.610)
Epoch: [16][2330/14090]	Time 0.745 (0.766)	Data 0.002 (0.002)	Loss 2.5704 (2.7558)	Prec@1 41.406 (34.353)	Prec@5 65.625 (64.610)
Epoch: [16][2340/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 2.5805 (2.7558)	Prec@1 38.281 (34.356)	Prec@5 71.094 (64.608)
Epoch: [16][2350/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 2.9119 (2.7562)	Prec@1 32.031 (34.350)	Prec@5 61.719 (64.611)
Epoch: [16][2360/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 2.6713 (2.7561)	Prec@1 35.938 (34.355)	Prec@5 64.844 (64.612)
Epoch: [16][2370/14090]	Time 0.862 (0.766)	Data 0.001 (0.002)	Loss 2.8921 (2.7562)	Prec@1 29.688 (34.353)	Prec@5 60.156 (64.604)
Epoch: [16][2380/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 2.7313 (2.7563)	Prec@1 36.719 (34.352)	Prec@5 64.844 (64.602)
Epoch: [16][2390/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.7887 (2.7562)	Prec@1 33.594 (34.352)	Prec@5 62.500 (64.607)
Epoch: [16][2400/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.4770 (2.7556)	Prec@1 34.375 (34.368)	Prec@5 67.188 (64.613)
Epoch: [16][2410/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 2.6555 (2.7559)	Prec@1 35.156 (34.363)	Prec@5 67.188 (64.607)
Epoch: [16][2420/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.9231 (2.7559)	Prec@1 32.812 (34.364)	Prec@5 64.844 (64.611)
Epoch: [16][2430/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.8069 (2.7563)	Prec@1 28.906 (34.355)	Prec@5 59.375 (64.609)
Epoch: [16][2440/14090]	Time 0.841 (0.766)	Data 0.001 (0.002)	Loss 2.7241 (2.7564)	Prec@1 32.031 (34.351)	Prec@5 67.188 (64.606)
Epoch: [16][2450/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 2.7951 (2.7569)	Prec@1 34.375 (34.339)	Prec@5 60.938 (64.599)
Epoch: [16][2460/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.8979 (2.7570)	Prec@1 28.906 (34.334)	Prec@5 63.281 (64.595)
Epoch: [16][2470/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 2.7153 (2.7569)	Prec@1 34.375 (34.335)	Prec@5 64.844 (64.601)
Epoch: [16][2480/14090]	Time 0.761 (0.766)	Data 0.001 (0.002)	Loss 2.9950 (2.7568)	Prec@1 35.938 (34.336)	Prec@5 54.688 (64.598)
Epoch: [16][2490/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 2.8774 (2.7576)	Prec@1 30.469 (34.327)	Prec@5 62.500 (64.581)
Epoch: [16][2500/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 2.7595 (2.7576)	Prec@1 34.375 (34.323)	Prec@5 60.938 (64.573)
Epoch: [16][2510/14090]	Time 0.827 (0.766)	Data 0.001 (0.002)	Loss 3.0191 (2.7577)	Prec@1 27.344 (34.323)	Prec@5 62.500 (64.575)
Epoch: [16][2520/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 2.6875 (2.7578)	Prec@1 37.500 (34.320)	Prec@5 60.938 (64.565)
Epoch: [16][2530/14090]	Time 0.732 (0.765)	Data 0.001 (0.002)	Loss 2.2823 (2.7576)	Prec@1 40.625 (34.322)	Prec@5 78.906 (64.569)
Epoch: [16][2540/14090]	Time 0.734 (0.765)	Data 0.001 (0.002)	Loss 2.8389 (2.7576)	Prec@1 29.688 (34.319)	Prec@5 62.500 (64.571)
Epoch: [16][2550/14090]	Time 0.784 (0.765)	Data 0.001 (0.002)	Loss 2.5665 (2.7575)	Prec@1 36.719 (34.319)	Prec@5 70.312 (64.575)
Epoch: [16][2560/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.9907 (2.7577)	Prec@1 31.250 (34.320)	Prec@5 58.594 (64.565)
Epoch: [16][2570/14090]	Time 0.758 (0.765)	Data 0.001 (0.002)	Loss 2.7656 (2.7574)	Prec@1 34.375 (34.333)	Prec@5 64.062 (64.568)
Epoch: [16][2580/14090]	Time 0.897 (0.766)	Data 0.001 (0.002)	Loss 2.8017 (2.7573)	Prec@1 33.594 (34.337)	Prec@5 58.594 (64.565)
Epoch: [16][2590/14090]	Time 0.763 (0.766)	Data 0.001 (0.002)	Loss 2.9771 (2.7574)	Prec@1 29.688 (34.344)	Prec@5 60.156 (64.561)
Epoch: [16][2600/14090]	Time 0.757 (0.765)	Data 0.001 (0.002)	Loss 2.8127 (2.7576)	Prec@1 32.812 (34.337)	Prec@5 62.500 (64.559)
Epoch: [16][2610/14090]	Time 0.759 (0.765)	Data 0.001 (0.002)	Loss 2.7967 (2.7576)	Prec@1 35.938 (34.334)	Prec@5 64.844 (64.557)
Epoch: [16][2620/14090]	Time 0.767 (0.765)	Data 0.001 (0.002)	Loss 2.8204 (2.7577)	Prec@1 33.594 (34.327)	Prec@5 60.156 (64.553)
Epoch: [16][2630/14090]	Time 0.763 (0.766)	Data 0.001 (0.002)	Loss 2.7133 (2.7575)	Prec@1 28.906 (34.322)	Prec@5 61.719 (64.558)
Epoch: [16][2640/14090]	Time 0.750 (0.765)	Data 0.001 (0.002)	Loss 2.7060 (2.7576)	Prec@1 38.281 (34.320)	Prec@5 67.188 (64.554)
Epoch: [16][2650/14090]	Time 0.834 (0.765)	Data 0.001 (0.002)	Loss 2.6176 (2.7576)	Prec@1 35.938 (34.317)	Prec@5 67.969 (64.555)
Epoch: [16][2660/14090]	Time 0.771 (0.765)	Data 0.001 (0.002)	Loss 2.6010 (2.7577)	Prec@1 33.594 (34.317)	Prec@5 70.312 (64.554)
Epoch: [16][2670/14090]	Time 0.733 (0.765)	Data 0.001 (0.002)	Loss 2.7765 (2.7581)	Prec@1 26.562 (34.302)	Prec@5 60.938 (64.540)
Epoch: [16][2680/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.8244 (2.7581)	Prec@1 35.938 (34.301)	Prec@5 63.281 (64.541)
Epoch: [16][2690/14090]	Time 0.756 (0.765)	Data 0.001 (0.002)	Loss 3.0301 (2.7581)	Prec@1 33.594 (34.303)	Prec@5 57.812 (64.538)
Epoch: [16][2700/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.9596 (2.7577)	Prec@1 31.250 (34.312)	Prec@5 62.500 (64.550)
Epoch: [16][2710/14090]	Time 0.735 (0.765)	Data 0.001 (0.002)	Loss 2.5530 (2.7573)	Prec@1 39.062 (34.316)	Prec@5 70.312 (64.560)
Epoch: [16][2720/14090]	Time 0.822 (0.766)	Data 0.001 (0.002)	Loss 2.6330 (2.7574)	Prec@1 32.031 (34.318)	Prec@5 65.625 (64.562)
Epoch: [16][2730/14090]	Time 0.752 (0.765)	Data 0.001 (0.002)	Loss 2.9893 (2.7573)	Prec@1 32.031 (34.322)	Prec@5 63.281 (64.565)
Epoch: [16][2740/14090]	Time 0.755 (0.765)	Data 0.001 (0.002)	Loss 2.9643 (2.7572)	Prec@1 32.031 (34.323)	Prec@5 59.375 (64.565)
Epoch: [16][2750/14090]	Time 0.766 (0.765)	Data 0.001 (0.002)	Loss 2.6740 (2.7572)	Prec@1 38.281 (34.327)	Prec@5 63.281 (64.567)
Epoch: [16][2760/14090]	Time 0.753 (0.765)	Data 0.001 (0.002)	Loss 2.9786 (2.7573)	Prec@1 29.688 (34.326)	Prec@5 60.156 (64.565)
Epoch: [16][2770/14090]	Time 0.748 (0.765)	Data 0.001 (0.002)	Loss 2.8281 (2.7575)	Prec@1 36.719 (34.332)	Prec@5 61.719 (64.563)
Epoch: [16][2780/14090]	Time 0.742 (0.765)	Data 0.001 (0.002)	Loss 2.5143 (2.7573)	Prec@1 35.938 (34.333)	Prec@5 70.312 (64.567)
Epoch: [16][2790/14090]	Time 0.839 (0.765)	Data 0.001 (0.002)	Loss 2.6501 (2.7572)	Prec@1 35.156 (34.334)	Prec@5 65.625 (64.563)
Epoch: [16][2800/14090]	Time 0.737 (0.765)	Data 0.001 (0.002)	Loss 2.6332 (2.7569)	Prec@1 35.156 (34.343)	Prec@5 62.500 (64.571)
Epoch: [16][2810/14090]	Time 0.755 (0.765)	Data 0.001 (0.002)	Loss 2.8134 (2.7573)	Prec@1 38.281 (34.338)	Prec@5 65.625 (64.565)
Epoch: [16][2820/14090]	Time 0.777 (0.765)	Data 0.001 (0.002)	Loss 2.4600 (2.7571)	Prec@1 37.500 (34.340)	Prec@5 67.969 (64.565)
Epoch: [16][2830/14090]	Time 0.739 (0.765)	Data 0.001 (0.002)	Loss 2.9983 (2.7569)	Prec@1 29.688 (34.339)	Prec@5 57.031 (64.566)
Epoch: [16][2840/14090]	Time 0.730 (0.765)	Data 0.001 (0.002)	Loss 3.0704 (2.7571)	Prec@1 27.344 (34.337)	Prec@5 61.719 (64.561)
Epoch: [16][2850/14090]	Time 0.741 (0.765)	Data 0.001 (0.002)	Loss 2.9375 (2.7574)	Prec@1 29.688 (34.330)	Prec@5 58.594 (64.556)
Epoch: [16][2860/14090]	Time 0.833 (0.765)	Data 0.001 (0.002)	Loss 3.2459 (2.7580)	Prec@1 27.344 (34.318)	Prec@5 53.125 (64.546)
Epoch: [16][2870/14090]	Time 0.743 (0.765)	Data 0.001 (0.002)	Loss 2.9879 (2.7580)	Prec@1 26.562 (34.318)	Prec@5 61.719 (64.544)
Epoch: [16][2880/14090]	Time 0.762 (0.765)	Data 0.001 (0.002)	Loss 2.6669 (2.7577)	Prec@1 38.281 (34.328)	Prec@5 61.719 (64.550)
Epoch: [16][2890/14090]	Time 0.759 (0.765)	Data 0.001 (0.002)	Loss 2.9249 (2.7579)	Prec@1 32.031 (34.327)	Prec@5 60.938 (64.541)
Epoch: [16][2900/14090]	Time 0.756 (0.765)	Data 0.001 (0.002)	Loss 2.5933 (2.7579)	Prec@1 41.406 (34.325)	Prec@5 65.625 (64.538)
Epoch: [16][2910/14090]	Time 0.735 (0.765)	Data 0.001 (0.002)	Loss 2.6059 (2.7579)	Prec@1 38.281 (34.315)	Prec@5 67.969 (64.542)
Epoch: [16][2920/14090]	Time 0.738 (0.765)	Data 0.001 (0.002)	Loss 2.5534 (2.7580)	Prec@1 40.625 (34.318)	Prec@5 67.969 (64.539)
Epoch: [16][2930/14090]	Time 0.861 (0.765)	Data 0.001 (0.002)	Loss 2.4791 (2.7578)	Prec@1 40.625 (34.320)	Prec@5 72.656 (64.541)
Epoch: [16][2940/14090]	Time 0.728 (0.765)	Data 0.001 (0.002)	Loss 2.6512 (2.7577)	Prec@1 28.125 (34.325)	Prec@5 67.969 (64.537)
Epoch: [16][2950/14090]	Time 0.729 (0.765)	Data 0.001 (0.002)	Loss 2.5270 (2.7574)	Prec@1 40.625 (34.329)	Prec@5 71.875 (64.549)
Epoch: [16][2960/14090]	Time 0.723 (0.765)	Data 0.001 (0.002)	Loss 2.7467 (2.7573)	Prec@1 36.719 (34.333)	Prec@5 65.625 (64.550)
Epoch: [16][2970/14090]	Time 0.744 (0.765)	Data 0.001 (0.002)	Loss 2.9879 (2.7575)	Prec@1 32.031 (34.330)	Prec@5 61.719 (64.550)
Epoch: [16][2980/14090]	Time 0.756 (0.765)	Data 0.001 (0.002)	Loss 2.4850 (2.7572)	Prec@1 40.625 (34.332)	Prec@5 71.875 (64.555)
Epoch: [16][2990/14090]	Time 0.770 (0.765)	Data 0.001 (0.002)	Loss 2.6281 (2.7569)	Prec@1 40.625 (34.341)	Prec@5 64.062 (64.566)
Epoch: [16][3000/14090]	Time 0.821 (0.765)	Data 0.001 (0.002)	Loss 2.7199 (2.7569)	Prec@1 38.281 (34.347)	Prec@5 63.281 (64.563)
Epoch: [16][3010/14090]	Time 0.762 (0.765)	Data 0.001 (0.002)	Loss 2.2075 (2.7568)	Prec@1 42.188 (34.346)	Prec@5 78.125 (64.567)
Epoch: [16][3020/14090]	Time 0.797 (0.765)	Data 0.001 (0.002)	Loss 2.6265 (2.7566)	Prec@1 32.031 (34.346)	Prec@5 68.750 (64.567)
Epoch: [16][3030/14090]	Time 0.732 (0.765)	Data 0.001 (0.002)	Loss 2.7520 (2.7569)	Prec@1 38.281 (34.338)	Prec@5 65.625 (64.563)
Epoch: [16][3040/14090]	Time 0.726 (0.765)	Data 0.001 (0.002)	Loss 3.2945 (2.7569)	Prec@1 25.781 (34.337)	Prec@5 57.812 (64.566)
Epoch: [16][3050/14090]	Time 0.749 (0.765)	Data 0.001 (0.002)	Loss 2.8418 (2.7569)	Prec@1 31.250 (34.335)	Prec@5 61.719 (64.565)
Epoch: [16][3060/14090]	Time 0.771 (0.765)	Data 0.001 (0.002)	Loss 2.7293 (2.7570)	Prec@1 35.938 (34.333)	Prec@5 64.844 (64.564)
Epoch: [16][3070/14090]	Time 0.901 (0.765)	Data 0.001 (0.002)	Loss 2.6440 (2.7571)	Prec@1 32.812 (34.325)	Prec@5 71.875 (64.562)
Epoch: [16][3080/14090]	Time 0.729 (0.765)	Data 0.001 (0.002)	Loss 2.7856 (2.7572)	Prec@1 35.938 (34.326)	Prec@5 64.844 (64.563)
Epoch: [16][3090/14090]	Time 0.772 (0.765)	Data 0.001 (0.002)	Loss 2.9207 (2.7570)	Prec@1 31.250 (34.325)	Prec@5 65.625 (64.567)
Epoch: [16][3100/14090]	Time 0.741 (0.765)	Data 0.001 (0.002)	Loss 2.8626 (2.7571)	Prec@1 28.906 (34.319)	Prec@5 64.062 (64.570)
Epoch: [16][3110/14090]	Time 0.748 (0.765)	Data 0.001 (0.002)	Loss 2.8892 (2.7571)	Prec@1 30.469 (34.328)	Prec@5 58.594 (64.570)
Epoch: [16][3120/14090]	Time 0.751 (0.765)	Data 0.001 (0.002)	Loss 2.8094 (2.7571)	Prec@1 28.906 (34.328)	Prec@5 66.406 (64.574)
Epoch: [16][3130/14090]	Time 0.754 (0.765)	Data 0.001 (0.002)	Loss 2.4095 (2.7568)	Prec@1 34.375 (34.328)	Prec@5 70.312 (64.580)
Epoch: [16][3140/14090]	Time 0.987 (0.765)	Data 0.001 (0.002)	Loss 3.0746 (2.7571)	Prec@1 24.219 (34.321)	Prec@5 55.469 (64.571)
Epoch: [16][3150/14090]	Time 0.744 (0.765)	Data 0.001 (0.002)	Loss 2.9018 (2.7567)	Prec@1 27.344 (34.322)	Prec@5 60.156 (64.581)
Epoch: [16][3160/14090]	Time 0.721 (0.765)	Data 0.001 (0.002)	Loss 2.6825 (2.7571)	Prec@1 38.281 (34.312)	Prec@5 66.406 (64.571)
Epoch: [16][3170/14090]	Time 0.784 (0.765)	Data 0.001 (0.002)	Loss 2.7857 (2.7571)	Prec@1 35.938 (34.314)	Prec@5 64.062 (64.571)
Epoch: [16][3180/14090]	Time 0.755 (0.765)	Data 0.001 (0.002)	Loss 3.0229 (2.7574)	Prec@1 28.125 (34.307)	Prec@5 59.375 (64.568)
Epoch: [16][3190/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 3.1113 (2.7577)	Prec@1 22.656 (34.295)	Prec@5 53.906 (64.563)
Epoch: [16][3200/14090]	Time 0.745 (0.765)	Data 0.001 (0.002)	Loss 2.7093 (2.7578)	Prec@1 37.500 (34.292)	Prec@5 71.094 (64.566)
Epoch: [16][3210/14090]	Time 0.851 (0.766)	Data 0.001 (0.002)	Loss 2.8237 (2.7580)	Prec@1 32.812 (34.284)	Prec@5 61.719 (64.562)
Epoch: [16][3220/14090]	Time 0.740 (0.765)	Data 0.001 (0.002)	Loss 2.6830 (2.7579)	Prec@1 28.906 (34.286)	Prec@5 63.281 (64.562)
Epoch: [16][3230/14090]	Time 0.757 (0.765)	Data 0.001 (0.002)	Loss 2.6372 (2.7578)	Prec@1 37.500 (34.289)	Prec@5 68.750 (64.564)
Epoch: [16][3240/14090]	Time 0.744 (0.765)	Data 0.001 (0.002)	Loss 2.7218 (2.7577)	Prec@1 33.594 (34.291)	Prec@5 67.969 (64.568)
Epoch: [16][3250/14090]	Time 0.756 (0.765)	Data 0.001 (0.002)	Loss 2.5633 (2.7575)	Prec@1 34.375 (34.298)	Prec@5 67.969 (64.574)
Epoch: [16][3260/14090]	Time 0.752 (0.765)	Data 0.001 (0.002)	Loss 2.6078 (2.7571)	Prec@1 35.156 (34.303)	Prec@5 68.750 (64.583)
Epoch: [16][3270/14090]	Time 0.780 (0.765)	Data 0.001 (0.002)	Loss 2.8687 (2.7573)	Prec@1 36.719 (34.304)	Prec@5 60.938 (64.577)
Epoch: [16][3280/14090]	Time 0.849 (0.766)	Data 0.001 (0.002)	Loss 2.6462 (2.7570)	Prec@1 42.188 (34.310)	Prec@5 67.969 (64.582)
Epoch: [16][3290/14090]	Time 0.765 (0.765)	Data 0.001 (0.002)	Loss 2.7475 (2.7570)	Prec@1 30.469 (34.310)	Prec@5 71.094 (64.583)
Epoch: [16][3300/14090]	Time 0.746 (0.765)	Data 0.001 (0.002)	Loss 2.4368 (2.7570)	Prec@1 42.188 (34.309)	Prec@5 72.656 (64.586)
Epoch: [16][3310/14090]	Time 0.766 (0.765)	Data 0.001 (0.002)	Loss 2.4745 (2.7573)	Prec@1 39.062 (34.300)	Prec@5 74.219 (64.581)
Epoch: [16][3320/14090]	Time 0.719 (0.765)	Data 0.001 (0.002)	Loss 2.5621 (2.7574)	Prec@1 37.500 (34.300)	Prec@5 67.188 (64.577)
Epoch: [16][3330/14090]	Time 0.744 (0.765)	Data 0.001 (0.002)	Loss 2.5332 (2.7570)	Prec@1 39.844 (34.306)	Prec@5 65.625 (64.583)
Epoch: [16][3340/14090]	Time 0.751 (0.765)	Data 0.001 (0.002)	Loss 2.6539 (2.7569)	Prec@1 33.594 (34.307)	Prec@5 69.531 (64.588)
Epoch: [16][3350/14090]	Time 0.878 (0.765)	Data 0.001 (0.002)	Loss 2.9077 (2.7571)	Prec@1 28.125 (34.308)	Prec@5 61.719 (64.585)
Epoch: [16][3360/14090]	Time 0.748 (0.765)	Data 0.001 (0.002)	Loss 2.8176 (2.7571)	Prec@1 29.688 (34.304)	Prec@5 64.062 (64.585)
Epoch: [16][3370/14090]	Time 0.761 (0.765)	Data 0.001 (0.002)	Loss 2.8491 (2.7569)	Prec@1 37.500 (34.304)	Prec@5 57.812 (64.584)
Epoch: [16][3380/14090]	Time 0.747 (0.765)	Data 0.001 (0.002)	Loss 2.5747 (2.7568)	Prec@1 39.062 (34.304)	Prec@5 65.625 (64.588)
Epoch: [16][3390/14090]	Time 0.730 (0.765)	Data 0.001 (0.002)	Loss 3.1434 (2.7570)	Prec@1 28.906 (34.304)	Prec@5 57.812 (64.587)
Epoch: [16][3400/14090]	Time 0.759 (0.765)	Data 0.001 (0.002)	Loss 2.9227 (2.7571)	Prec@1 32.812 (34.305)	Prec@5 67.969 (64.586)
Epoch: [16][3410/14090]	Time 0.755 (0.765)	Data 0.001 (0.002)	Loss 2.7015 (2.7570)	Prec@1 35.938 (34.307)	Prec@5 67.188 (64.588)
Epoch: [16][3420/14090]	Time 0.841 (0.765)	Data 0.001 (0.002)	Loss 2.8048 (2.7572)	Prec@1 35.938 (34.308)	Prec@5 62.500 (64.586)
Epoch: [16][3430/14090]	Time 0.754 (0.765)	Data 0.001 (0.002)	Loss 3.0112 (2.7572)	Prec@1 35.156 (34.306)	Prec@5 59.375 (64.583)
Epoch: [16][3440/14090]	Time 0.754 (0.765)	Data 0.001 (0.002)	Loss 2.8167 (2.7572)	Prec@1 34.375 (34.307)	Prec@5 60.938 (64.585)
Epoch: [16][3450/14090]	Time 0.768 (0.765)	Data 0.001 (0.002)	Loss 2.6105 (2.7570)	Prec@1 37.500 (34.308)	Prec@5 67.969 (64.589)
Epoch: [16][3460/14090]	Time 0.757 (0.765)	Data 0.001 (0.002)	Loss 2.8798 (2.7571)	Prec@1 30.469 (34.308)	Prec@5 63.281 (64.586)
Epoch: [16][3470/14090]	Time 0.737 (0.765)	Data 0.001 (0.002)	Loss 2.7221 (2.7573)	Prec@1 35.938 (34.310)	Prec@5 65.625 (64.586)
Epoch: [16][3480/14090]	Time 0.748 (0.765)	Data 0.001 (0.002)	Loss 2.8895 (2.7574)	Prec@1 32.812 (34.306)	Prec@5 66.406 (64.584)
Epoch: [16][3490/14090]	Time 0.870 (0.765)	Data 0.001 (0.002)	Loss 2.3427 (2.7575)	Prec@1 42.969 (34.307)	Prec@5 74.219 (64.583)
Epoch: [16][3500/14090]	Time 0.724 (0.765)	Data 0.001 (0.002)	Loss 2.5551 (2.7573)	Prec@1 34.375 (34.310)	Prec@5 67.969 (64.588)
Epoch: [16][3510/14090]	Time 0.757 (0.765)	Data 0.001 (0.002)	Loss 2.7644 (2.7570)	Prec@1 28.125 (34.311)	Prec@5 64.844 (64.594)
Epoch: [16][3520/14090]	Time 0.745 (0.765)	Data 0.001 (0.002)	Loss 2.9620 (2.7570)	Prec@1 32.812 (34.307)	Prec@5 60.156 (64.593)
Epoch: [16][3530/14090]	Time 0.779 (0.765)	Data 0.001 (0.002)	Loss 3.0022 (2.7569)	Prec@1 34.375 (34.311)	Prec@5 59.375 (64.596)
Epoch: [16][3540/14090]	Time 0.724 (0.765)	Data 0.001 (0.002)	Loss 3.1614 (2.7570)	Prec@1 32.031 (34.312)	Prec@5 60.156 (64.594)
Epoch: [16][3550/14090]	Time 0.737 (0.765)	Data 0.001 (0.002)	Loss 2.6660 (2.7571)	Prec@1 29.688 (34.306)	Prec@5 65.625 (64.592)
Epoch: [16][3560/14090]	Time 0.876 (0.765)	Data 0.001 (0.002)	Loss 2.9550 (2.7572)	Prec@1 34.375 (34.311)	Prec@5 60.938 (64.589)
Epoch: [16][3570/14090]	Time 0.756 (0.765)	Data 0.001 (0.002)	Loss 2.5655 (2.7573)	Prec@1 39.844 (34.310)	Prec@5 67.188 (64.586)
Epoch: [16][3580/14090]	Time 0.745 (0.765)	Data 0.001 (0.002)	Loss 2.7836 (2.7571)	Prec@1 34.375 (34.309)	Prec@5 70.312 (64.592)
Epoch: [16][3590/14090]	Time 0.756 (0.765)	Data 0.001 (0.002)	Loss 2.6215 (2.7573)	Prec@1 36.719 (34.309)	Prec@5 66.406 (64.589)
Epoch: [16][3600/14090]	Time 0.755 (0.765)	Data 0.001 (0.002)	Loss 2.7995 (2.7573)	Prec@1 31.250 (34.305)	Prec@5 66.406 (64.585)
Epoch: [16][3610/14090]	Time 0.772 (0.765)	Data 0.001 (0.002)	Loss 2.7035 (2.7574)	Prec@1 33.594 (34.300)	Prec@5 64.062 (64.585)
Epoch: [16][3620/14090]	Time 0.773 (0.765)	Data 0.001 (0.002)	Loss 2.7778 (2.7574)	Prec@1 34.375 (34.302)	Prec@5 60.938 (64.590)
Epoch: [16][3630/14090]	Time 0.891 (0.765)	Data 0.001 (0.002)	Loss 2.6106 (2.7573)	Prec@1 42.969 (34.306)	Prec@5 64.844 (64.589)
Epoch: [16][3640/14090]	Time 0.753 (0.765)	Data 0.001 (0.002)	Loss 2.8894 (2.7575)	Prec@1 27.344 (34.301)	Prec@5 59.375 (64.588)
Epoch: [16][3650/14090]	Time 0.748 (0.765)	Data 0.001 (0.002)	Loss 2.6009 (2.7574)	Prec@1 36.719 (34.300)	Prec@5 67.969 (64.589)
Epoch: [16][3660/14090]	Time 0.769 (0.765)	Data 0.001 (0.002)	Loss 3.0898 (2.7577)	Prec@1 25.000 (34.291)	Prec@5 59.375 (64.585)
Epoch: [16][3670/14090]	Time 0.782 (0.765)	Data 0.001 (0.002)	Loss 2.9068 (2.7579)	Prec@1 31.250 (34.286)	Prec@5 58.594 (64.579)
Epoch: [16][3680/14090]	Time 0.762 (0.765)	Data 0.001 (0.002)	Loss 2.6480 (2.7576)	Prec@1 42.969 (34.291)	Prec@5 67.188 (64.586)
Epoch: [16][3690/14090]	Time 0.777 (0.765)	Data 0.001 (0.002)	Loss 2.6373 (2.7574)	Prec@1 36.719 (34.299)	Prec@5 68.750 (64.592)
Epoch: [16][3700/14090]	Time 0.853 (0.765)	Data 0.001 (0.002)	Loss 2.9984 (2.7575)	Prec@1 32.812 (34.300)	Prec@5 57.031 (64.584)
Epoch: [16][3710/14090]	Time 0.752 (0.765)	Data 0.001 (0.002)	Loss 2.6897 (2.7577)	Prec@1 35.938 (34.298)	Prec@5 64.844 (64.579)
Epoch: [16][3720/14090]	Time 0.735 (0.765)	Data 0.001 (0.002)	Loss 2.8898 (2.7580)	Prec@1 30.469 (34.289)	Prec@5 60.156 (64.570)
Epoch: [16][3730/14090]	Time 0.756 (0.765)	Data 0.001 (0.002)	Loss 2.6151 (2.7579)	Prec@1 34.375 (34.295)	Prec@5 68.750 (64.576)
Epoch: [16][3740/14090]	Time 0.737 (0.765)	Data 0.001 (0.002)	Loss 2.5459 (2.7577)	Prec@1 32.812 (34.298)	Prec@5 69.531 (64.577)
Epoch: [16][3750/14090]	Time 0.747 (0.765)	Data 0.001 (0.002)	Loss 2.8387 (2.7578)	Prec@1 28.906 (34.298)	Prec@5 67.188 (64.577)
Epoch: [16][3760/14090]	Time 0.749 (0.765)	Data 0.001 (0.002)	Loss 3.0285 (2.7579)	Prec@1 30.469 (34.297)	Prec@5 63.281 (64.577)
Epoch: [16][3770/14090]	Time 0.864 (0.765)	Data 0.001 (0.002)	Loss 2.5984 (2.7578)	Prec@1 38.281 (34.298)	Prec@5 70.312 (64.579)
Epoch: [16][3780/14090]	Time 0.752 (0.765)	Data 0.001 (0.002)	Loss 2.8503 (2.7579)	Prec@1 33.594 (34.298)	Prec@5 60.156 (64.580)
Epoch: [16][3790/14090]	Time 0.747 (0.765)	Data 0.001 (0.002)	Loss 3.0330 (2.7581)	Prec@1 35.156 (34.293)	Prec@5 62.500 (64.575)
Epoch: [16][3800/14090]	Time 0.746 (0.765)	Data 0.001 (0.002)	Loss 2.9075 (2.7584)	Prec@1 32.812 (34.287)	Prec@5 63.281 (64.574)
Epoch: [16][3810/14090]	Time 0.750 (0.765)	Data 0.001 (0.002)	Loss 2.7846 (2.7584)	Prec@1 33.594 (34.285)	Prec@5 64.062 (64.572)
Epoch: [16][3820/14090]	Time 0.763 (0.765)	Data 0.001 (0.002)	Loss 2.8929 (2.7585)	Prec@1 35.156 (34.285)	Prec@5 66.406 (64.571)
Epoch: [16][3830/14090]	Time 0.758 (0.765)	Data 0.001 (0.002)	Loss 2.6836 (2.7584)	Prec@1 31.250 (34.287)	Prec@5 66.406 (64.572)
Epoch: [16][3840/14090]	Time 0.841 (0.765)	Data 0.001 (0.002)	Loss 2.7233 (2.7585)	Prec@1 34.375 (34.290)	Prec@5 65.625 (64.571)
Epoch: [16][3850/14090]	Time 0.748 (0.765)	Data 0.001 (0.002)	Loss 2.8304 (2.7589)	Prec@1 28.125 (34.280)	Prec@5 63.281 (64.564)
Epoch: [16][3860/14090]	Time 0.742 (0.765)	Data 0.001 (0.002)	Loss 2.7841 (2.7588)	Prec@1 34.375 (34.284)	Prec@5 63.281 (64.563)
Epoch: [16][3870/14090]	Time 0.744 (0.765)	Data 0.001 (0.002)	Loss 2.6380 (2.7587)	Prec@1 34.375 (34.287)	Prec@5 66.406 (64.564)
Epoch: [16][3880/14090]	Time 0.760 (0.765)	Data 0.001 (0.002)	Loss 2.6429 (2.7586)	Prec@1 36.719 (34.292)	Prec@5 64.844 (64.566)
Epoch: [16][3890/14090]	Time 0.752 (0.765)	Data 0.001 (0.002)	Loss 2.8012 (2.7585)	Prec@1 32.031 (34.294)	Prec@5 65.625 (64.570)
Epoch: [16][3900/14090]	Time 0.734 (0.765)	Data 0.001 (0.002)	Loss 2.5560 (2.7586)	Prec@1 41.406 (34.292)	Prec@5 65.625 (64.569)
Epoch: [16][3910/14090]	Time 0.892 (0.765)	Data 0.001 (0.002)	Loss 2.6168 (2.7590)	Prec@1 32.812 (34.287)	Prec@5 68.750 (64.562)
Epoch: [16][3920/14090]	Time 0.742 (0.765)	Data 0.001 (0.002)	Loss 2.8724 (2.7590)	Prec@1 33.594 (34.284)	Prec@5 60.156 (64.559)
Epoch: [16][3930/14090]	Time 0.754 (0.765)	Data 0.001 (0.002)	Loss 2.6260 (2.7590)	Prec@1 33.594 (34.286)	Prec@5 61.719 (64.559)
Epoch: [16][3940/14090]	Time 0.756 (0.765)	Data 0.001 (0.002)	Loss 2.5990 (2.7592)	Prec@1 37.500 (34.282)	Prec@5 67.969 (64.555)
Epoch: [16][3950/14090]	Time 0.749 (0.765)	Data 0.001 (0.002)	Loss 2.3678 (2.7593)	Prec@1 39.844 (34.272)	Prec@5 71.875 (64.553)
Epoch: [16][3960/14090]	Time 0.753 (0.765)	Data 0.001 (0.002)	Loss 2.9543 (2.7592)	Prec@1 30.469 (34.272)	Prec@5 62.500 (64.555)
Epoch: [16][3970/14090]	Time 0.747 (0.765)	Data 0.001 (0.002)	Loss 2.5912 (2.7592)	Prec@1 39.844 (34.276)	Prec@5 71.875 (64.557)
Epoch: [16][3980/14090]	Time 0.902 (0.765)	Data 0.001 (0.002)	Loss 2.8236 (2.7592)	Prec@1 30.469 (34.276)	Prec@5 60.938 (64.554)
Epoch: [16][3990/14090]	Time 0.748 (0.765)	Data 0.001 (0.002)	Loss 2.7360 (2.7594)	Prec@1 30.469 (34.271)	Prec@5 65.625 (64.549)
Epoch: [16][4000/14090]	Time 0.742 (0.765)	Data 0.001 (0.002)	Loss 2.6610 (2.7595)	Prec@1 33.594 (34.268)	Prec@5 71.094 (64.548)
Epoch: [16][4010/14090]	Time 0.756 (0.765)	Data 0.001 (0.002)	Loss 2.8671 (2.7594)	Prec@1 32.812 (34.267)	Prec@5 61.719 (64.548)
Epoch: [16][4020/14090]	Time 0.749 (0.765)	Data 0.001 (0.002)	Loss 2.5968 (2.7593)	Prec@1 34.375 (34.265)	Prec@5 65.625 (64.551)
Epoch: [16][4030/14090]	Time 0.764 (0.765)	Data 0.001 (0.002)	Loss 2.5977 (2.7592)	Prec@1 38.281 (34.268)	Prec@5 65.625 (64.550)
Epoch: [16][4040/14090]	Time 0.748 (0.765)	Data 0.001 (0.002)	Loss 2.4275 (2.7594)	Prec@1 41.406 (34.265)	Prec@5 73.438 (64.546)
Epoch: [16][4050/14090]	Time 0.859 (0.765)	Data 0.001 (0.002)	Loss 3.0628 (2.7595)	Prec@1 28.125 (34.263)	Prec@5 58.594 (64.547)
Epoch: [16][4060/14090]	Time 0.761 (0.765)	Data 0.001 (0.002)	Loss 2.6704 (2.7594)	Prec@1 35.938 (34.266)	Prec@5 66.406 (64.547)
Epoch: [16][4070/14090]	Time 0.736 (0.765)	Data 0.001 (0.002)	Loss 2.3841 (2.7595)	Prec@1 39.844 (34.262)	Prec@5 72.656 (64.545)
Epoch: [16][4080/14090]	Time 0.760 (0.765)	Data 0.001 (0.002)	Loss 2.5738 (2.7596)	Prec@1 35.156 (34.261)	Prec@5 69.531 (64.547)
Epoch: [16][4090/14090]	Time 0.743 (0.765)	Data 0.001 (0.002)	Loss 2.6746 (2.7596)	Prec@1 33.594 (34.262)	Prec@5 65.625 (64.547)
Epoch: [16][4100/14090]	Time 0.733 (0.765)	Data 0.001 (0.002)	Loss 2.3588 (2.7595)	Prec@1 36.719 (34.262)	Prec@5 74.219 (64.550)
Epoch: [16][4110/14090]	Time 0.743 (0.765)	Data 0.001 (0.002)	Loss 2.4646 (2.7592)	Prec@1 38.281 (34.270)	Prec@5 70.312 (64.553)
Epoch: [16][4120/14090]	Time 0.878 (0.765)	Data 0.001 (0.002)	Loss 2.5905 (2.7592)	Prec@1 39.062 (34.272)	Prec@5 64.844 (64.554)
Epoch: [16][4130/14090]	Time 0.741 (0.765)	Data 0.001 (0.002)	Loss 2.8876 (2.7592)	Prec@1 32.031 (34.275)	Prec@5 62.500 (64.552)
Epoch: [16][4140/14090]	Time 0.737 (0.765)	Data 0.001 (0.002)	Loss 2.7568 (2.7591)	Prec@1 36.719 (34.276)	Prec@5 65.625 (64.553)
Epoch: [16][4150/14090]	Time 0.782 (0.765)	Data 0.001 (0.002)	Loss 2.7640 (2.7593)	Prec@1 34.375 (34.270)	Prec@5 63.281 (64.550)
Epoch: [16][4160/14090]	Time 0.749 (0.765)	Data 0.001 (0.002)	Loss 2.6519 (2.7592)	Prec@1 35.156 (34.272)	Prec@5 67.188 (64.550)
Epoch: [16][4170/14090]	Time 0.757 (0.765)	Data 0.001 (0.002)	Loss 2.8180 (2.7594)	Prec@1 38.281 (34.269)	Prec@5 60.156 (64.549)
Epoch: [16][4180/14090]	Time 0.726 (0.765)	Data 0.001 (0.002)	Loss 2.7722 (2.7594)	Prec@1 38.281 (34.268)	Prec@5 61.719 (64.546)
Epoch: [16][4190/14090]	Time 0.887 (0.765)	Data 0.001 (0.002)	Loss 2.8843 (2.7596)	Prec@1 32.812 (34.262)	Prec@5 60.938 (64.541)
Epoch: [16][4200/14090]	Time 0.743 (0.765)	Data 0.001 (0.002)	Loss 2.8061 (2.7597)	Prec@1 35.938 (34.268)	Prec@5 58.594 (64.535)
Epoch: [16][4210/14090]	Time 0.745 (0.765)	Data 0.001 (0.002)	Loss 2.7674 (2.7597)	Prec@1 36.719 (34.270)	Prec@5 66.406 (64.537)
Epoch: [16][4220/14090]	Time 0.724 (0.765)	Data 0.001 (0.002)	Loss 2.3415 (2.7597)	Prec@1 39.062 (34.272)	Prec@5 76.562 (64.536)
Epoch: [16][4230/14090]	Time 0.744 (0.765)	Data 0.001 (0.002)	Loss 2.6786 (2.7597)	Prec@1 37.500 (34.273)	Prec@5 66.406 (64.537)
Epoch: [16][4240/14090]	Time 0.756 (0.765)	Data 0.001 (0.002)	Loss 2.9797 (2.7598)	Prec@1 28.906 (34.269)	Prec@5 60.156 (64.531)
Epoch: [16][4250/14090]	Time 0.733 (0.765)	Data 0.001 (0.002)	Loss 2.9333 (2.7597)	Prec@1 38.281 (34.272)	Prec@5 60.156 (64.535)
Epoch: [16][4260/14090]	Time 0.863 (0.765)	Data 0.001 (0.002)	Loss 2.5705 (2.7597)	Prec@1 30.469 (34.273)	Prec@5 71.094 (64.536)
Epoch: [16][4270/14090]	Time 0.754 (0.765)	Data 0.001 (0.002)	Loss 2.6672 (2.7594)	Prec@1 29.688 (34.272)	Prec@5 64.844 (64.544)
Epoch: [16][4280/14090]	Time 0.756 (0.765)	Data 0.001 (0.002)	Loss 2.5967 (2.7596)	Prec@1 32.812 (34.270)	Prec@5 68.750 (64.536)
Epoch: [16][4290/14090]	Time 0.739 (0.765)	Data 0.001 (0.002)	Loss 2.5632 (2.7595)	Prec@1 35.938 (34.272)	Prec@5 70.312 (64.534)
Epoch: [16][4300/14090]	Time 0.741 (0.765)	Data 0.001 (0.002)	Loss 2.7041 (2.7594)	Prec@1 35.156 (34.275)	Prec@5 64.844 (64.538)
Epoch: [16][4310/14090]	Time 0.755 (0.765)	Data 0.001 (0.002)	Loss 2.5491 (2.7594)	Prec@1 36.719 (34.277)	Prec@5 67.969 (64.534)
Epoch: [16][4320/14090]	Time 0.748 (0.765)	Data 0.001 (0.002)	Loss 2.9195 (2.7594)	Prec@1 29.688 (34.278)	Prec@5 62.500 (64.533)
Epoch: [16][4330/14090]	Time 0.873 (0.765)	Data 0.001 (0.002)	Loss 2.9196 (2.7594)	Prec@1 39.844 (34.276)	Prec@5 60.156 (64.532)
Epoch: [16][4340/14090]	Time 0.745 (0.765)	Data 0.001 (0.002)	Loss 2.7761 (2.7595)	Prec@1 25.781 (34.270)	Prec@5 64.062 (64.527)
Epoch: [16][4350/14090]	Time 0.754 (0.765)	Data 0.001 (0.002)	Loss 2.6263 (2.7595)	Prec@1 35.156 (34.266)	Prec@5 65.625 (64.525)
Epoch: [16][4360/14090]	Time 0.737 (0.765)	Data 0.001 (0.002)	Loss 2.9521 (2.7596)	Prec@1 30.469 (34.262)	Prec@5 63.281 (64.527)
Epoch: [16][4370/14090]	Time 0.726 (0.765)	Data 0.001 (0.002)	Loss 3.0378 (2.7595)	Prec@1 28.125 (34.262)	Prec@5 57.812 (64.527)
Epoch: [16][4380/14090]	Time 0.769 (0.765)	Data 0.004 (0.002)	Loss 2.3708 (2.7595)	Prec@1 39.062 (34.264)	Prec@5 68.750 (64.526)
Epoch: [16][4390/14090]	Time 0.732 (0.765)	Data 0.001 (0.002)	Loss 2.7249 (2.7594)	Prec@1 39.844 (34.264)	Prec@5 61.719 (64.527)
Epoch: [16][4400/14090]	Time 0.878 (0.765)	Data 0.001 (0.002)	Loss 2.7990 (2.7595)	Prec@1 29.688 (34.263)	Prec@5 62.500 (64.527)
Epoch: [16][4410/14090]	Time 0.730 (0.765)	Data 0.001 (0.002)	Loss 2.6155 (2.7595)	Prec@1 37.500 (34.265)	Prec@5 67.188 (64.525)
Epoch: [16][4420/14090]	Time 0.767 (0.765)	Data 0.001 (0.002)	Loss 2.4828 (2.7594)	Prec@1 39.062 (34.269)	Prec@5 69.531 (64.530)
Epoch: [16][4430/14090]	Time 0.762 (0.765)	Data 0.001 (0.002)	Loss 2.8455 (2.7596)	Prec@1 30.469 (34.264)	Prec@5 64.844 (64.530)
Epoch: [16][4440/14090]	Time 0.739 (0.765)	Data 0.001 (0.002)	Loss 2.6051 (2.7598)	Prec@1 41.406 (34.262)	Prec@5 68.750 (64.528)
Epoch: [16][4450/14090]	Time 0.739 (0.765)	Data 0.001 (0.002)	Loss 2.5823 (2.7598)	Prec@1 35.156 (34.263)	Prec@5 68.750 (64.524)
Epoch: [16][4460/14090]	Time 0.735 (0.765)	Data 0.001 (0.002)	Loss 2.7671 (2.7597)	Prec@1 34.375 (34.264)	Prec@5 62.500 (64.526)
Epoch: [16][4470/14090]	Time 0.902 (0.765)	Data 0.001 (0.002)	Loss 2.7207 (2.7596)	Prec@1 32.031 (34.269)	Prec@5 64.062 (64.525)
Epoch: [16][4480/14090]	Time 0.736 (0.765)	Data 0.001 (0.002)	Loss 2.6630 (2.7596)	Prec@1 42.969 (34.271)	Prec@5 66.406 (64.527)
Epoch: [16][4490/14090]	Time 0.741 (0.765)	Data 0.001 (0.002)	Loss 2.9156 (2.7595)	Prec@1 32.031 (34.277)	Prec@5 62.500 (64.529)
Epoch: [16][4500/14090]	Time 0.747 (0.765)	Data 0.001 (0.002)	Loss 2.7106 (2.7595)	Prec@1 32.031 (34.274)	Prec@5 64.062 (64.527)
Epoch: [16][4510/14090]	Time 0.776 (0.765)	Data 0.001 (0.002)	Loss 2.5884 (2.7594)	Prec@1 37.500 (34.276)	Prec@5 64.844 (64.528)
Epoch: [16][4520/14090]	Time 0.757 (0.765)	Data 0.001 (0.002)	Loss 2.5941 (2.7592)	Prec@1 40.625 (34.281)	Prec@5 66.406 (64.527)
Epoch: [16][4530/14090]	Time 0.756 (0.765)	Data 0.001 (0.002)	Loss 2.9197 (2.7593)	Prec@1 31.250 (34.279)	Prec@5 64.062 (64.525)
Epoch: [16][4540/14090]	Time 0.877 (0.765)	Data 0.001 (0.002)	Loss 2.7633 (2.7593)	Prec@1 32.812 (34.280)	Prec@5 64.844 (64.523)
Epoch: [16][4550/14090]	Time 0.776 (0.765)	Data 0.001 (0.002)	Loss 2.9063 (2.7592)	Prec@1 26.562 (34.282)	Prec@5 58.594 (64.525)
Epoch: [16][4560/14090]	Time 0.755 (0.765)	Data 0.001 (0.002)	Loss 2.9523 (2.7593)	Prec@1 31.250 (34.278)	Prec@5 61.719 (64.522)
Epoch: [16][4570/14090]	Time 0.759 (0.765)	Data 0.001 (0.002)	Loss 2.6981 (2.7594)	Prec@1 31.250 (34.275)	Prec@5 66.406 (64.524)
Epoch: [16][4580/14090]	Time 0.739 (0.765)	Data 0.001 (0.002)	Loss 3.1926 (2.7593)	Prec@1 29.688 (34.274)	Prec@5 58.594 (64.528)
Epoch: [16][4590/14090]	Time 0.734 (0.765)	Data 0.001 (0.002)	Loss 3.0750 (2.7594)	Prec@1 28.125 (34.272)	Prec@5 60.156 (64.525)
Epoch: [16][4600/14090]	Time 0.743 (0.765)	Data 0.001 (0.002)	Loss 2.8401 (2.7593)	Prec@1 32.812 (34.274)	Prec@5 66.406 (64.532)
Epoch: [16][4610/14090]	Time 0.827 (0.765)	Data 0.001 (0.002)	Loss 2.6078 (2.7593)	Prec@1 34.375 (34.272)	Prec@5 65.625 (64.532)
Epoch: [16][4620/14090]	Time 0.756 (0.765)	Data 0.001 (0.002)	Loss 2.9126 (2.7593)	Prec@1 27.344 (34.271)	Prec@5 62.500 (64.531)
Epoch: [16][4630/14090]	Time 0.728 (0.765)	Data 0.001 (0.002)	Loss 2.6980 (2.7592)	Prec@1 39.062 (34.270)	Prec@5 65.625 (64.535)
Epoch: [16][4640/14090]	Time 0.727 (0.765)	Data 0.001 (0.002)	Loss 2.8844 (2.7592)	Prec@1 34.375 (34.272)	Prec@5 63.281 (64.535)
Epoch: [16][4650/14090]	Time 0.736 (0.765)	Data 0.001 (0.002)	Loss 2.7808 (2.7591)	Prec@1 32.031 (34.275)	Prec@5 65.625 (64.538)
Epoch: [16][4660/14090]	Time 0.738 (0.765)	Data 0.001 (0.002)	Loss 2.8072 (2.7591)	Prec@1 35.156 (34.270)	Prec@5 66.406 (64.542)
Epoch: [16][4670/14090]	Time 0.740 (0.765)	Data 0.001 (0.002)	Loss 2.7686 (2.7590)	Prec@1 32.812 (34.271)	Prec@5 59.375 (64.543)
Epoch: [16][4680/14090]	Time 0.828 (0.765)	Data 0.001 (0.002)	Loss 2.4715 (2.7589)	Prec@1 45.312 (34.272)	Prec@5 67.969 (64.543)
Epoch: [16][4690/14090]	Time 0.744 (0.765)	Data 0.001 (0.002)	Loss 2.8114 (2.7590)	Prec@1 32.031 (34.274)	Prec@5 62.500 (64.541)
Epoch: [16][4700/14090]	Time 0.744 (0.765)	Data 0.001 (0.002)	Loss 2.8439 (2.7589)	Prec@1 28.906 (34.272)	Prec@5 60.938 (64.541)
Epoch: [16][4710/14090]	Time 0.767 (0.765)	Data 0.001 (0.002)	Loss 2.5997 (2.7589)	Prec@1 40.625 (34.272)	Prec@5 64.062 (64.540)
Epoch: [16][4720/14090]	Time 0.760 (0.765)	Data 0.001 (0.002)	Loss 2.8537 (2.7589)	Prec@1 35.156 (34.268)	Prec@5 60.156 (64.539)
Epoch: [16][4730/14090]	Time 0.747 (0.765)	Data 0.001 (0.002)	Loss 2.9078 (2.7590)	Prec@1 35.156 (34.271)	Prec@5 66.406 (64.538)
Epoch: [16][4740/14090]	Time 0.739 (0.765)	Data 0.001 (0.002)	Loss 2.6962 (2.7589)	Prec@1 34.375 (34.272)	Prec@5 64.844 (64.540)
Epoch: [16][4750/14090]	Time 0.882 (0.765)	Data 0.001 (0.002)	Loss 2.6016 (2.7588)	Prec@1 35.938 (34.273)	Prec@5 68.750 (64.541)
Epoch: [16][4760/14090]	Time 0.730 (0.765)	Data 0.001 (0.002)	Loss 3.0024 (2.7589)	Prec@1 31.250 (34.270)	Prec@5 60.156 (64.540)
Epoch: [16][4770/14090]	Time 0.739 (0.765)	Data 0.001 (0.002)	Loss 2.6517 (2.7589)	Prec@1 32.031 (34.273)	Prec@5 65.625 (64.539)
Epoch: [16][4780/14090]	Time 0.748 (0.765)	Data 0.001 (0.002)	Loss 2.8104 (2.7589)	Prec@1 31.250 (34.272)	Prec@5 63.281 (64.543)
Epoch: [16][4790/14090]	Time 0.739 (0.765)	Data 0.001 (0.002)	Loss 2.6013 (2.7587)	Prec@1 35.938 (34.275)	Prec@5 69.531 (64.545)
Epoch: [16][4800/14090]	Time 0.752 (0.765)	Data 0.001 (0.002)	Loss 2.4085 (2.7588)	Prec@1 40.625 (34.273)	Prec@5 73.438 (64.544)
Epoch: [16][4810/14090]	Time 0.748 (0.765)	Data 0.001 (0.002)	Loss 2.8447 (2.7588)	Prec@1 28.906 (34.271)	Prec@5 63.281 (64.541)
Epoch: [16][4820/14090]	Time 0.854 (0.765)	Data 0.001 (0.002)	Loss 2.7356 (2.7590)	Prec@1 34.375 (34.267)	Prec@5 64.062 (64.538)
Epoch: [16][4830/14090]	Time 0.725 (0.765)	Data 0.001 (0.002)	Loss 2.8521 (2.7590)	Prec@1 29.688 (34.268)	Prec@5 57.031 (64.539)
Epoch: [16][4840/14090]	Time 0.755 (0.765)	Data 0.001 (0.002)	Loss 2.9799 (2.7590)	Prec@1 32.812 (34.270)	Prec@5 61.719 (64.538)
Epoch: [16][4850/14090]	Time 0.742 (0.765)	Data 0.001 (0.002)	Loss 2.7535 (2.7589)	Prec@1 37.500 (34.271)	Prec@5 62.500 (64.539)
Epoch: [16][4860/14090]	Time 0.765 (0.765)	Data 0.001 (0.002)	Loss 2.7286 (2.7589)	Prec@1 38.281 (34.271)	Prec@5 64.062 (64.541)
Epoch: [16][4870/14090]	Time 0.766 (0.765)	Data 0.001 (0.002)	Loss 2.7309 (2.7590)	Prec@1 25.781 (34.267)	Prec@5 67.188 (64.541)
Epoch: [16][4880/14090]	Time 0.745 (0.765)	Data 0.001 (0.002)	Loss 2.9969 (2.7589)	Prec@1 27.344 (34.266)	Prec@5 59.375 (64.542)
Epoch: [16][4890/14090]	Time 0.880 (0.765)	Data 0.001 (0.002)	Loss 2.5026 (2.7590)	Prec@1 35.938 (34.265)	Prec@5 70.312 (64.542)
Epoch: [16][4900/14090]	Time 0.736 (0.765)	Data 0.001 (0.002)	Loss 2.5909 (2.7591)	Prec@1 35.938 (34.265)	Prec@5 68.750 (64.539)
Epoch: [16][4910/14090]	Time 0.763 (0.765)	Data 0.001 (0.002)	Loss 3.0695 (2.7592)	Prec@1 29.688 (34.263)	Prec@5 62.500 (64.536)
Epoch: [16][4920/14090]	Time 0.730 (0.765)	Data 0.001 (0.002)	Loss 2.9962 (2.7593)	Prec@1 21.875 (34.262)	Prec@5 60.156 (64.537)
Epoch: [16][4930/14090]	Time 0.747 (0.765)	Data 0.001 (0.002)	Loss 2.5350 (2.7593)	Prec@1 35.938 (34.262)	Prec@5 66.406 (64.535)
Epoch: [16][4940/14090]	Time 0.738 (0.765)	Data 0.001 (0.002)	Loss 3.2587 (2.7594)	Prec@1 21.875 (34.261)	Prec@5 57.812 (64.534)
Epoch: [16][4950/14090]	Time 0.762 (0.765)	Data 0.001 (0.002)	Loss 2.8444 (2.7593)	Prec@1 33.594 (34.262)	Prec@5 63.281 (64.534)
Epoch: [16][4960/14090]	Time 0.848 (0.765)	Data 0.001 (0.002)	Loss 2.7481 (2.7593)	Prec@1 32.031 (34.263)	Prec@5 69.531 (64.532)
Epoch: [16][4970/14090]	Time 0.761 (0.765)	Data 0.001 (0.002)	Loss 2.6043 (2.7594)	Prec@1 32.812 (34.260)	Prec@5 68.750 (64.531)
Epoch: [16][4980/14090]	Time 0.724 (0.765)	Data 0.001 (0.002)	Loss 2.8512 (2.7595)	Prec@1 31.250 (34.258)	Prec@5 67.188 (64.529)
Epoch: [16][4990/14090]	Time 0.756 (0.765)	Data 0.001 (0.002)	Loss 2.8978 (2.7597)	Prec@1 32.031 (34.255)	Prec@5 61.719 (64.524)
Epoch: [16][5000/14090]	Time 0.753 (0.765)	Data 0.001 (0.002)	Loss 2.7833 (2.7596)	Prec@1 31.250 (34.258)	Prec@5 63.281 (64.523)
Epoch: [16][5010/14090]	Time 0.767 (0.765)	Data 0.001 (0.002)	Loss 3.3034 (2.7597)	Prec@1 32.812 (34.260)	Prec@5 50.781 (64.520)
Epoch: [16][5020/14090]	Time 0.742 (0.765)	Data 0.001 (0.002)	Loss 3.0200 (2.7596)	Prec@1 32.031 (34.264)	Prec@5 61.719 (64.523)
Epoch: [16][5030/14090]	Time 0.865 (0.765)	Data 0.001 (0.002)	Loss 2.6440 (2.7596)	Prec@1 39.844 (34.265)	Prec@5 67.188 (64.523)
Epoch: [16][5040/14090]	Time 0.757 (0.765)	Data 0.001 (0.002)	Loss 2.8458 (2.7597)	Prec@1 32.031 (34.265)	Prec@5 58.594 (64.522)
Epoch: [16][5050/14090]	Time 0.726 (0.765)	Data 0.001 (0.002)	Loss 2.6391 (2.7595)	Prec@1 37.500 (34.265)	Prec@5 65.625 (64.526)
Epoch: [16][5060/14090]	Time 0.755 (0.765)	Data 0.001 (0.002)	Loss 2.5414 (2.7595)	Prec@1 36.719 (34.268)	Prec@5 73.438 (64.528)
Epoch: [16][5070/14090]	Time 0.755 (0.765)	Data 0.001 (0.002)	Loss 2.8481 (2.7598)	Prec@1 34.375 (34.262)	Prec@5 61.719 (64.523)
Epoch: [16][5080/14090]	Time 0.742 (0.765)	Data 0.001 (0.002)	Loss 2.4714 (2.7597)	Prec@1 36.719 (34.263)	Prec@5 71.875 (64.524)
Epoch: [16][5090/14090]	Time 0.752 (0.765)	Data 0.001 (0.002)	Loss 2.6169 (2.7597)	Prec@1 39.844 (34.265)	Prec@5 66.406 (64.524)
Epoch: [16][5100/14090]	Time 0.869 (0.765)	Data 0.001 (0.002)	Loss 2.7689 (2.7597)	Prec@1 35.938 (34.265)	Prec@5 66.406 (64.525)
Epoch: [16][5110/14090]	Time 0.743 (0.765)	Data 0.001 (0.002)	Loss 2.6535 (2.7598)	Prec@1 39.062 (34.266)	Prec@5 66.406 (64.523)
Epoch: [16][5120/14090]	Time 0.747 (0.765)	Data 0.001 (0.002)	Loss 3.0193 (2.7599)	Prec@1 32.031 (34.265)	Prec@5 59.375 (64.522)
Epoch: [16][5130/14090]	Time 0.743 (0.765)	Data 0.001 (0.002)	Loss 2.4319 (2.7599)	Prec@1 39.062 (34.267)	Prec@5 65.625 (64.520)
Epoch: [16][5140/14090]	Time 0.735 (0.765)	Data 0.001 (0.002)	Loss 3.0115 (2.7598)	Prec@1 28.125 (34.264)	Prec@5 57.812 (64.524)
Epoch: [16][5150/14090]	Time 0.747 (0.765)	Data 0.001 (0.002)	Loss 2.9242 (2.7601)	Prec@1 32.812 (34.260)	Prec@5 60.938 (64.517)
Epoch: [16][5160/14090]	Time 0.754 (0.765)	Data 0.001 (0.002)	Loss 2.8797 (2.7601)	Prec@1 29.688 (34.261)	Prec@5 60.156 (64.515)
Epoch: [16][5170/14090]	Time 0.891 (0.765)	Data 0.001 (0.002)	Loss 2.8510 (2.7601)	Prec@1 34.375 (34.257)	Prec@5 60.938 (64.516)
Epoch: [16][5180/14090]	Time 0.762 (0.765)	Data 0.001 (0.002)	Loss 2.7338 (2.7602)	Prec@1 39.844 (34.258)	Prec@5 64.844 (64.515)
Epoch: [16][5190/14090]	Time 0.740 (0.765)	Data 0.001 (0.002)	Loss 2.8981 (2.7604)	Prec@1 27.344 (34.257)	Prec@5 57.812 (64.513)
Epoch: [16][5200/14090]	Time 0.774 (0.765)	Data 0.001 (0.002)	Loss 2.6032 (2.7603)	Prec@1 38.281 (34.258)	Prec@5 69.531 (64.515)
Epoch: [16][5210/14090]	Time 0.751 (0.765)	Data 0.001 (0.002)	Loss 2.5731 (2.7603)	Prec@1 38.281 (34.259)	Prec@5 64.844 (64.516)
Epoch: [16][5220/14090]	Time 0.737 (0.765)	Data 0.001 (0.002)	Loss 2.8484 (2.7603)	Prec@1 32.812 (34.255)	Prec@5 68.750 (64.517)
Epoch: [16][5230/14090]	Time 0.759 (0.765)	Data 0.001 (0.002)	Loss 2.6789 (2.7603)	Prec@1 37.500 (34.260)	Prec@5 64.062 (64.518)
Epoch: [16][5240/14090]	Time 0.848 (0.765)	Data 0.001 (0.002)	Loss 2.8119 (2.7604)	Prec@1 36.719 (34.260)	Prec@5 61.719 (64.514)
Epoch: [16][5250/14090]	Time 0.757 (0.765)	Data 0.001 (0.002)	Loss 2.8429 (2.7605)	Prec@1 32.031 (34.258)	Prec@5 64.844 (64.513)
Epoch: [16][5260/14090]	Time 0.742 (0.765)	Data 0.001 (0.002)	Loss 2.8156 (2.7604)	Prec@1 35.938 (34.261)	Prec@5 60.938 (64.518)
Epoch: [16][5270/14090]	Time 0.744 (0.765)	Data 0.001 (0.002)	Loss 2.7527 (2.7605)	Prec@1 32.812 (34.259)	Prec@5 64.062 (64.517)
Epoch: [16][5280/14090]	Time 0.742 (0.765)	Data 0.001 (0.002)	Loss 2.8537 (2.7604)	Prec@1 33.594 (34.263)	Prec@5 67.969 (64.521)
Epoch: [16][5290/14090]	Time 0.750 (0.765)	Data 0.001 (0.002)	Loss 2.9103 (2.7603)	Prec@1 31.250 (34.265)	Prec@5 63.281 (64.521)
Epoch: [16][5300/14090]	Time 0.748 (0.765)	Data 0.001 (0.002)	Loss 2.9706 (2.7603)	Prec@1 25.000 (34.262)	Prec@5 64.062 (64.523)
Epoch: [16][5310/14090]	Time 0.849 (0.765)	Data 0.001 (0.002)	Loss 2.9555 (2.7604)	Prec@1 29.688 (34.260)	Prec@5 68.750 (64.524)
Epoch: [16][5320/14090]	Time 0.739 (0.765)	Data 0.001 (0.002)	Loss 2.7772 (2.7605)	Prec@1 38.281 (34.259)	Prec@5 66.406 (64.523)
Epoch: [16][5330/14090]	Time 0.757 (0.765)	Data 0.001 (0.002)	Loss 2.8341 (2.7605)	Prec@1 34.375 (34.256)	Prec@5 66.406 (64.524)
Epoch: [16][5340/14090]	Time 0.734 (0.765)	Data 0.001 (0.002)	Loss 2.8806 (2.7607)	Prec@1 32.812 (34.256)	Prec@5 61.719 (64.520)
Epoch: [16][5350/14090]	Time 0.769 (0.765)	Data 0.001 (0.002)	Loss 2.4558 (2.7606)	Prec@1 37.500 (34.256)	Prec@5 70.312 (64.518)
Epoch: [16][5360/14090]	Time 0.754 (0.765)	Data 0.001 (0.002)	Loss 2.6453 (2.7606)	Prec@1 37.500 (34.255)	Prec@5 64.844 (64.518)
Epoch: [16][5370/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 3.0146 (2.7606)	Prec@1 35.156 (34.253)	Prec@5 59.375 (64.518)
Epoch: [16][5380/14090]	Time 0.846 (0.765)	Data 0.001 (0.001)	Loss 2.8242 (2.7608)	Prec@1 32.812 (34.251)	Prec@5 60.938 (64.513)
Epoch: [16][5390/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.6769 (2.7607)	Prec@1 31.250 (34.252)	Prec@5 69.531 (64.514)
Epoch: [16][5400/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 3.0158 (2.7607)	Prec@1 34.375 (34.255)	Prec@5 62.500 (64.514)
Epoch: [16][5410/14090]	Time 0.769 (0.765)	Data 0.001 (0.001)	Loss 2.7245 (2.7607)	Prec@1 37.500 (34.254)	Prec@5 69.531 (64.511)
Epoch: [16][5420/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.8081 (2.7607)	Prec@1 36.719 (34.256)	Prec@5 67.188 (64.513)
Epoch: [16][5430/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.6769 (2.7607)	Prec@1 37.500 (34.255)	Prec@5 67.969 (64.510)
Epoch: [16][5440/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 3.0934 (2.7608)	Prec@1 30.469 (34.255)	Prec@5 59.375 (64.511)
Epoch: [16][5450/14090]	Time 0.872 (0.765)	Data 0.001 (0.001)	Loss 2.5605 (2.7608)	Prec@1 38.281 (34.257)	Prec@5 66.406 (64.510)
Epoch: [16][5460/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.7950 (2.7608)	Prec@1 34.375 (34.258)	Prec@5 68.750 (64.512)
Epoch: [16][5470/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.8662 (2.7608)	Prec@1 31.250 (34.259)	Prec@5 60.938 (64.511)
Epoch: [16][5480/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.7783 (2.7609)	Prec@1 32.812 (34.257)	Prec@5 66.406 (64.509)
Epoch: [16][5490/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.6253 (2.7609)	Prec@1 36.719 (34.256)	Prec@5 66.406 (64.511)
Epoch: [16][5500/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.7999 (2.7610)	Prec@1 34.375 (34.253)	Prec@5 64.844 (64.508)
Epoch: [16][5510/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.4810 (2.7608)	Prec@1 36.719 (34.255)	Prec@5 71.875 (64.511)
Epoch: [16][5520/14090]	Time 0.878 (0.765)	Data 0.001 (0.001)	Loss 2.8730 (2.7608)	Prec@1 30.469 (34.256)	Prec@5 66.406 (64.511)
Epoch: [16][5530/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.6962 (2.7608)	Prec@1 36.719 (34.257)	Prec@5 64.062 (64.512)
Epoch: [16][5540/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.7582 (2.7609)	Prec@1 33.594 (34.259)	Prec@5 61.719 (64.510)
Epoch: [16][5550/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.5442 (2.7608)	Prec@1 37.500 (34.262)	Prec@5 69.531 (64.512)
Epoch: [16][5560/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.7506 (2.7607)	Prec@1 35.938 (34.264)	Prec@5 67.969 (64.515)
Epoch: [16][5570/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.8055 (2.7607)	Prec@1 31.250 (34.263)	Prec@5 64.062 (64.514)
Epoch: [16][5580/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.7719 (2.7607)	Prec@1 32.812 (34.264)	Prec@5 64.062 (64.516)
Epoch: [16][5590/14090]	Time 0.841 (0.765)	Data 0.001 (0.001)	Loss 2.9642 (2.7607)	Prec@1 25.781 (34.262)	Prec@5 60.156 (64.515)
Epoch: [16][5600/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.8495 (2.7607)	Prec@1 28.125 (34.261)	Prec@5 64.062 (64.515)
Epoch: [16][5610/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.8196 (2.7608)	Prec@1 35.156 (34.259)	Prec@5 60.938 (64.513)
Epoch: [16][5620/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.6399 (2.7608)	Prec@1 42.969 (34.257)	Prec@5 69.531 (64.512)
Epoch: [16][5630/14090]	Time 0.786 (0.765)	Data 0.001 (0.001)	Loss 2.8107 (2.7607)	Prec@1 29.688 (34.261)	Prec@5 62.500 (64.516)
Epoch: [16][5640/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.7530 (2.7607)	Prec@1 39.844 (34.259)	Prec@5 60.938 (64.516)
Epoch: [16][5650/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.8775 (2.7608)	Prec@1 32.812 (34.257)	Prec@5 60.156 (64.515)
Epoch: [16][5660/14090]	Time 0.882 (0.765)	Data 0.001 (0.001)	Loss 2.7070 (2.7607)	Prec@1 35.156 (34.257)	Prec@5 67.969 (64.518)
Epoch: [16][5670/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.6587 (2.7606)	Prec@1 34.375 (34.257)	Prec@5 67.188 (64.522)
Epoch: [16][5680/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.8462 (2.7605)	Prec@1 34.375 (34.258)	Prec@5 59.375 (64.524)
Epoch: [16][5690/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.8430 (2.7605)	Prec@1 32.031 (34.260)	Prec@5 58.594 (64.523)
Epoch: [16][5700/14090]	Time 0.770 (0.765)	Data 0.001 (0.001)	Loss 2.3831 (2.7605)	Prec@1 38.281 (34.258)	Prec@5 71.094 (64.522)
Epoch: [16][5710/14090]	Time 0.763 (0.765)	Data 0.002 (0.001)	Loss 2.7155 (2.7605)	Prec@1 37.500 (34.256)	Prec@5 62.500 (64.524)
Epoch: [16][5720/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.8345 (2.7605)	Prec@1 35.156 (34.255)	Prec@5 64.062 (64.523)
Epoch: [16][5730/14090]	Time 0.839 (0.765)	Data 0.001 (0.001)	Loss 2.7730 (2.7606)	Prec@1 33.594 (34.253)	Prec@5 60.156 (64.520)
Epoch: [16][5740/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.4916 (2.7605)	Prec@1 40.625 (34.256)	Prec@5 67.188 (64.520)
Epoch: [16][5750/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.6505 (2.7605)	Prec@1 37.500 (34.256)	Prec@5 67.969 (64.522)
Epoch: [16][5760/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 3.1084 (2.7605)	Prec@1 29.688 (34.257)	Prec@5 55.469 (64.522)
Epoch: [16][5770/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.5732 (2.7605)	Prec@1 39.062 (34.259)	Prec@5 67.969 (64.523)
Epoch: [16][5780/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.6569 (2.7605)	Prec@1 37.500 (34.255)	Prec@5 61.719 (64.521)
Epoch: [16][5790/14090]	Time 0.795 (0.765)	Data 0.001 (0.001)	Loss 2.7793 (2.7605)	Prec@1 31.250 (34.255)	Prec@5 64.062 (64.523)
Epoch: [16][5800/14090]	Time 0.836 (0.765)	Data 0.001 (0.001)	Loss 2.9395 (2.7605)	Prec@1 28.906 (34.255)	Prec@5 60.938 (64.522)
Epoch: [16][5810/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.7269 (2.7603)	Prec@1 29.688 (34.253)	Prec@5 67.188 (64.526)
Epoch: [16][5820/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 3.0239 (2.7602)	Prec@1 29.688 (34.254)	Prec@5 60.156 (64.528)
Epoch: [16][5830/14090]	Time 0.780 (0.765)	Data 0.001 (0.001)	Loss 2.6895 (2.7603)	Prec@1 35.156 (34.255)	Prec@5 66.406 (64.525)
Epoch: [16][5840/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.5853 (2.7603)	Prec@1 39.844 (34.252)	Prec@5 67.969 (64.526)
Epoch: [16][5850/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.9864 (2.7606)	Prec@1 28.125 (34.249)	Prec@5 55.469 (64.522)
Epoch: [16][5860/14090]	Time 0.767 (0.765)	Data 0.001 (0.001)	Loss 2.8196 (2.7607)	Prec@1 32.812 (34.246)	Prec@5 62.500 (64.520)
Epoch: [16][5870/14090]	Time 0.886 (0.765)	Data 0.001 (0.001)	Loss 2.4379 (2.7606)	Prec@1 39.062 (34.247)	Prec@5 70.312 (64.521)
Epoch: [16][5880/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.8391 (2.7607)	Prec@1 28.125 (34.246)	Prec@5 64.062 (64.520)
Epoch: [16][5890/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.8313 (2.7607)	Prec@1 28.125 (34.241)	Prec@5 66.406 (64.520)
Epoch: [16][5900/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.8389 (2.7607)	Prec@1 29.688 (34.239)	Prec@5 66.406 (64.520)
Epoch: [16][5910/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.8080 (2.7607)	Prec@1 39.062 (34.240)	Prec@5 64.062 (64.519)
Epoch: [16][5920/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.8358 (2.7608)	Prec@1 31.250 (34.239)	Prec@5 59.375 (64.514)
Epoch: [16][5930/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.8484 (2.7608)	Prec@1 34.375 (34.239)	Prec@5 69.531 (64.514)
Epoch: [16][5940/14090]	Time 0.846 (0.765)	Data 0.001 (0.001)	Loss 2.7545 (2.7607)	Prec@1 32.031 (34.242)	Prec@5 69.531 (64.516)
Epoch: [16][5950/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.6604 (2.7607)	Prec@1 34.375 (34.243)	Prec@5 66.406 (64.516)
Epoch: [16][5960/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.7584 (2.7607)	Prec@1 31.250 (34.244)	Prec@5 67.969 (64.518)
Epoch: [16][5970/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 3.0551 (2.7608)	Prec@1 34.375 (34.240)	Prec@5 60.156 (64.517)
Epoch: [16][5980/14090]	Time 0.770 (0.765)	Data 0.001 (0.001)	Loss 2.7955 (2.7608)	Prec@1 33.594 (34.238)	Prec@5 60.938 (64.518)
Epoch: [16][5990/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.6067 (2.7608)	Prec@1 32.031 (34.238)	Prec@5 67.969 (64.518)
Epoch: [16][6000/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.7630 (2.7607)	Prec@1 35.938 (34.238)	Prec@5 64.844 (64.518)
Epoch: [16][6010/14090]	Time 0.864 (0.765)	Data 0.001 (0.001)	Loss 2.8432 (2.7607)	Prec@1 33.594 (34.239)	Prec@5 61.719 (64.518)
Epoch: [16][6020/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.6368 (2.7609)	Prec@1 30.469 (34.238)	Prec@5 67.969 (64.517)
Epoch: [16][6030/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 3.1824 (2.7610)	Prec@1 25.781 (34.236)	Prec@5 58.594 (64.514)
Epoch: [16][6040/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.3674 (2.7609)	Prec@1 38.281 (34.235)	Prec@5 75.000 (64.517)
Epoch: [16][6050/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.9664 (2.7611)	Prec@1 29.688 (34.235)	Prec@5 62.500 (64.514)
Epoch: [16][6060/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.8150 (2.7611)	Prec@1 28.125 (34.233)	Prec@5 57.812 (64.513)
Epoch: [16][6070/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.5544 (2.7611)	Prec@1 36.719 (34.230)	Prec@5 71.094 (64.514)
Epoch: [16][6080/14090]	Time 0.881 (0.765)	Data 0.001 (0.001)	Loss 2.7246 (2.7611)	Prec@1 42.188 (34.230)	Prec@5 64.062 (64.511)
Epoch: [16][6090/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.6285 (2.7612)	Prec@1 32.812 (34.229)	Prec@5 72.656 (64.511)
Epoch: [16][6100/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.5547 (2.7610)	Prec@1 37.500 (34.230)	Prec@5 64.844 (64.516)
Epoch: [16][6110/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.7234 (2.7610)	Prec@1 44.531 (34.231)	Prec@5 67.969 (64.515)
Epoch: [16][6120/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.4511 (2.7609)	Prec@1 39.062 (34.230)	Prec@5 69.531 (64.518)
Epoch: [16][6130/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.7206 (2.7609)	Prec@1 33.594 (34.231)	Prec@5 65.625 (64.517)
Epoch: [16][6140/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.7913 (2.7608)	Prec@1 32.812 (34.232)	Prec@5 67.188 (64.519)
Epoch: [16][6150/14090]	Time 0.919 (0.765)	Data 0.001 (0.001)	Loss 3.1047 (2.7608)	Prec@1 27.344 (34.231)	Prec@5 60.156 (64.520)
Epoch: [16][6160/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.8656 (2.7608)	Prec@1 28.906 (34.230)	Prec@5 62.500 (64.520)
Epoch: [16][6170/14090]	Time 0.774 (0.765)	Data 0.001 (0.001)	Loss 2.7871 (2.7607)	Prec@1 34.375 (34.231)	Prec@5 67.969 (64.520)
Epoch: [16][6180/14090]	Time 0.778 (0.765)	Data 0.001 (0.001)	Loss 2.9774 (2.7607)	Prec@1 34.375 (34.231)	Prec@5 64.844 (64.521)
Epoch: [16][6190/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.7687 (2.7607)	Prec@1 29.688 (34.231)	Prec@5 66.406 (64.522)
Epoch: [16][6200/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.5945 (2.7607)	Prec@1 32.812 (34.229)	Prec@5 69.531 (64.521)
Epoch: [16][6210/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.7326 (2.7607)	Prec@1 39.062 (34.232)	Prec@5 66.406 (64.521)
Epoch: [16][6220/14090]	Time 0.892 (0.765)	Data 0.001 (0.001)	Loss 2.3876 (2.7605)	Prec@1 37.500 (34.236)	Prec@5 67.188 (64.523)
Epoch: [16][6230/14090]	Time 0.785 (0.765)	Data 0.001 (0.001)	Loss 2.9766 (2.7606)	Prec@1 23.438 (34.236)	Prec@5 57.812 (64.523)
Epoch: [16][6240/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.6051 (2.7604)	Prec@1 32.031 (34.237)	Prec@5 64.844 (64.525)
Epoch: [16][6250/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.7334 (2.7605)	Prec@1 39.844 (34.237)	Prec@5 65.625 (64.524)
Epoch: [16][6260/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.8833 (2.7606)	Prec@1 38.281 (34.236)	Prec@5 62.500 (64.523)
Epoch: [16][6270/14090]	Time 0.770 (0.765)	Data 0.001 (0.001)	Loss 2.7776 (2.7606)	Prec@1 28.906 (34.236)	Prec@5 64.844 (64.525)
Epoch: [16][6280/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.8821 (2.7607)	Prec@1 30.469 (34.233)	Prec@5 63.281 (64.521)
Epoch: [16][6290/14090]	Time 0.901 (0.765)	Data 0.001 (0.001)	Loss 2.7235 (2.7607)	Prec@1 31.250 (34.234)	Prec@5 61.719 (64.522)
Epoch: [16][6300/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.9433 (2.7606)	Prec@1 28.125 (34.236)	Prec@5 59.375 (64.522)
Epoch: [16][6310/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.7193 (2.7606)	Prec@1 32.812 (34.237)	Prec@5 64.844 (64.521)
Epoch: [16][6320/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.8523 (2.7607)	Prec@1 30.469 (34.237)	Prec@5 60.938 (64.522)
Epoch: [16][6330/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 2.9303 (2.7606)	Prec@1 33.594 (34.238)	Prec@5 61.719 (64.525)
Epoch: [16][6340/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.8685 (2.7606)	Prec@1 33.594 (34.238)	Prec@5 61.719 (64.525)
Epoch: [16][6350/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.7883 (2.7607)	Prec@1 34.375 (34.237)	Prec@5 64.062 (64.523)
Epoch: [16][6360/14090]	Time 0.890 (0.765)	Data 0.001 (0.001)	Loss 2.5574 (2.7606)	Prec@1 32.812 (34.236)	Prec@5 68.750 (64.528)
Epoch: [16][6370/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 3.1085 (2.7607)	Prec@1 27.344 (34.235)	Prec@5 56.250 (64.527)
Epoch: [16][6380/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.8057 (2.7607)	Prec@1 38.281 (34.234)	Prec@5 60.156 (64.527)
Epoch: [16][6390/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.6549 (2.7607)	Prec@1 35.938 (34.236)	Prec@5 69.531 (64.528)
Epoch: [16][6400/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.7805 (2.7606)	Prec@1 33.594 (34.240)	Prec@5 66.406 (64.530)
Epoch: [16][6410/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.7114 (2.7605)	Prec@1 34.375 (34.242)	Prec@5 70.312 (64.531)
Epoch: [16][6420/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.8872 (2.7606)	Prec@1 30.469 (34.241)	Prec@5 60.938 (64.530)
Epoch: [16][6430/14090]	Time 0.874 (0.765)	Data 0.001 (0.001)	Loss 2.4897 (2.7606)	Prec@1 37.500 (34.241)	Prec@5 68.750 (64.527)
Epoch: [16][6440/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.7589 (2.7605)	Prec@1 34.375 (34.241)	Prec@5 61.719 (64.531)
Epoch: [16][6450/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.8689 (2.7604)	Prec@1 29.688 (34.243)	Prec@5 61.719 (64.532)
Epoch: [16][6460/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.6081 (2.7605)	Prec@1 38.281 (34.242)	Prec@5 66.406 (64.530)
Epoch: [16][6470/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.7717 (2.7605)	Prec@1 36.719 (34.239)	Prec@5 62.500 (64.529)
Epoch: [16][6480/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.8111 (2.7604)	Prec@1 33.594 (34.241)	Prec@5 60.938 (64.531)
Epoch: [16][6490/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 3.0733 (2.7605)	Prec@1 28.125 (34.238)	Prec@5 57.812 (64.528)
Epoch: [16][6500/14090]	Time 0.872 (0.765)	Data 0.001 (0.001)	Loss 2.7409 (2.7605)	Prec@1 39.844 (34.239)	Prec@5 64.844 (64.528)
Epoch: [16][6510/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.5777 (2.7604)	Prec@1 43.750 (34.241)	Prec@5 70.312 (64.529)
Epoch: [16][6520/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.9676 (2.7604)	Prec@1 32.031 (34.243)	Prec@5 56.250 (64.526)
Epoch: [16][6530/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.7558 (2.7604)	Prec@1 35.938 (34.245)	Prec@5 63.281 (64.526)
Epoch: [16][6540/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.7582 (2.7603)	Prec@1 29.688 (34.247)	Prec@5 63.281 (64.526)
Epoch: [16][6550/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 3.2435 (2.7603)	Prec@1 27.344 (34.247)	Prec@5 57.812 (64.523)
Epoch: [16][6560/14090]	Time 0.768 (0.765)	Data 0.001 (0.001)	Loss 2.7128 (2.7604)	Prec@1 35.938 (34.246)	Prec@5 64.062 (64.521)
Epoch: [16][6570/14090]	Time 0.864 (0.765)	Data 0.001 (0.001)	Loss 2.9309 (2.7604)	Prec@1 31.250 (34.246)	Prec@5 57.812 (64.516)
Epoch: [16][6580/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.6986 (2.7604)	Prec@1 40.625 (34.245)	Prec@5 64.844 (64.518)
Epoch: [16][6590/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 3.0822 (2.7604)	Prec@1 28.906 (34.242)	Prec@5 57.031 (64.516)
Epoch: [16][6600/14090]	Time 0.769 (0.765)	Data 0.001 (0.001)	Loss 2.6147 (2.7605)	Prec@1 34.375 (34.241)	Prec@5 71.094 (64.517)
Epoch: [16][6610/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.9884 (2.7605)	Prec@1 28.906 (34.240)	Prec@5 60.938 (64.516)
Epoch: [16][6620/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.6851 (2.7605)	Prec@1 33.594 (34.239)	Prec@5 64.844 (64.514)
Epoch: [16][6630/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.7583 (2.7606)	Prec@1 34.375 (34.238)	Prec@5 61.719 (64.512)
Epoch: [16][6640/14090]	Time 0.869 (0.765)	Data 0.001 (0.001)	Loss 2.9783 (2.7607)	Prec@1 35.156 (34.235)	Prec@5 66.406 (64.509)
Epoch: [16][6650/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.5914 (2.7607)	Prec@1 35.156 (34.233)	Prec@5 64.062 (64.507)
Epoch: [16][6660/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.8594 (2.7607)	Prec@1 31.250 (34.231)	Prec@5 64.844 (64.508)
Epoch: [16][6670/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 3.0328 (2.7609)	Prec@1 32.031 (34.227)	Prec@5 58.594 (64.506)
Epoch: [16][6680/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.6311 (2.7609)	Prec@1 35.938 (34.226)	Prec@5 72.656 (64.509)
Epoch: [16][6690/14090]	Time 0.771 (0.765)	Data 0.001 (0.001)	Loss 2.6858 (2.7609)	Prec@1 38.281 (34.225)	Prec@5 66.406 (64.507)
Epoch: [16][6700/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.6650 (2.7608)	Prec@1 31.250 (34.227)	Prec@5 63.281 (64.508)
Epoch: [16][6710/14090]	Time 0.906 (0.765)	Data 0.001 (0.001)	Loss 2.8999 (2.7608)	Prec@1 31.250 (34.228)	Prec@5 64.844 (64.510)
Epoch: [16][6720/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.6759 (2.7608)	Prec@1 39.062 (34.227)	Prec@5 62.500 (64.509)
Epoch: [16][6730/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.8380 (2.7609)	Prec@1 32.812 (34.224)	Prec@5 63.281 (64.506)
Epoch: [16][6740/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.4746 (2.7610)	Prec@1 39.062 (34.225)	Prec@5 66.406 (64.502)
Epoch: [16][6750/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.8508 (2.7610)	Prec@1 39.062 (34.226)	Prec@5 63.281 (64.501)
Epoch: [16][6760/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.4538 (2.7609)	Prec@1 42.188 (34.230)	Prec@5 66.406 (64.502)
Epoch: [16][6770/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.7483 (2.7609)	Prec@1 29.688 (34.229)	Prec@5 69.531 (64.504)
Epoch: [16][6780/14090]	Time 0.916 (0.765)	Data 0.002 (0.001)	Loss 2.6487 (2.7608)	Prec@1 34.375 (34.230)	Prec@5 60.156 (64.505)
Epoch: [16][6790/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.9786 (2.7608)	Prec@1 33.594 (34.229)	Prec@5 64.844 (64.508)
Epoch: [16][6800/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.5891 (2.7607)	Prec@1 30.469 (34.229)	Prec@5 64.844 (64.509)
Epoch: [16][6810/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.9904 (2.7607)	Prec@1 29.688 (34.230)	Prec@5 58.594 (64.510)
Epoch: [16][6820/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.6362 (2.7606)	Prec@1 34.375 (34.233)	Prec@5 65.625 (64.510)
Epoch: [16][6830/14090]	Time 0.786 (0.765)	Data 0.001 (0.001)	Loss 2.8194 (2.7607)	Prec@1 33.594 (34.232)	Prec@5 62.500 (64.511)
Epoch: [16][6840/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.9045 (2.7608)	Prec@1 34.375 (34.232)	Prec@5 62.500 (64.508)
Epoch: [16][6850/14090]	Time 0.840 (0.765)	Data 0.001 (0.001)	Loss 3.0601 (2.7607)	Prec@1 27.344 (34.235)	Prec@5 60.156 (64.513)
Epoch: [16][6860/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.9991 (2.7608)	Prec@1 28.906 (34.233)	Prec@5 56.250 (64.511)
Epoch: [16][6870/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.8226 (2.7609)	Prec@1 35.938 (34.232)	Prec@5 60.938 (64.510)
Epoch: [16][6880/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 2.7717 (2.7609)	Prec@1 35.156 (34.235)	Prec@5 63.281 (64.508)
Epoch: [16][6890/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.8344 (2.7610)	Prec@1 36.719 (34.236)	Prec@5 63.281 (64.505)
Epoch: [16][6900/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 2.6261 (2.7609)	Prec@1 41.406 (34.238)	Prec@5 67.188 (64.507)
Epoch: [16][6910/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.7931 (2.7609)	Prec@1 33.594 (34.240)	Prec@5 64.062 (64.507)
Epoch: [16][6920/14090]	Time 0.859 (0.765)	Data 0.001 (0.001)	Loss 2.4999 (2.7608)	Prec@1 35.156 (34.241)	Prec@5 71.875 (64.510)
Epoch: [16][6930/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.5624 (2.7608)	Prec@1 41.406 (34.241)	Prec@5 71.875 (64.511)
Epoch: [16][6940/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.8659 (2.7609)	Prec@1 35.156 (34.242)	Prec@5 59.375 (64.508)
Epoch: [16][6950/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.7992 (2.7609)	Prec@1 41.406 (34.242)	Prec@5 64.062 (64.507)
Epoch: [16][6960/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.8696 (2.7610)	Prec@1 32.812 (34.242)	Prec@5 60.156 (64.504)
Epoch: [16][6970/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.4748 (2.7610)	Prec@1 42.188 (34.244)	Prec@5 70.312 (64.504)
Epoch: [16][6980/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.8943 (2.7610)	Prec@1 35.156 (34.242)	Prec@5 57.812 (64.503)
Epoch: [16][6990/14090]	Time 0.881 (0.765)	Data 0.001 (0.001)	Loss 2.6058 (2.7610)	Prec@1 32.031 (34.243)	Prec@5 71.094 (64.505)
Epoch: [16][7000/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 2.7145 (2.7610)	Prec@1 37.500 (34.241)	Prec@5 63.281 (64.506)
Epoch: [16][7010/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 2.9826 (2.7611)	Prec@1 35.156 (34.239)	Prec@5 57.812 (64.502)
Epoch: [16][7020/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.7860 (2.7613)	Prec@1 35.938 (34.236)	Prec@5 66.406 (64.501)
Epoch: [16][7030/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.3689 (2.7613)	Prec@1 42.188 (34.235)	Prec@5 71.875 (64.501)
Epoch: [16][7040/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 3.2034 (2.7614)	Prec@1 27.344 (34.235)	Prec@5 56.250 (64.500)
Epoch: [16][7050/14090]	Time 0.720 (0.765)	Data 0.001 (0.001)	Loss 3.1698 (2.7615)	Prec@1 21.875 (34.233)	Prec@5 58.594 (64.498)
Epoch: [16][7060/14090]	Time 0.895 (0.766)	Data 0.001 (0.001)	Loss 2.7581 (2.7615)	Prec@1 34.375 (34.232)	Prec@5 62.500 (64.498)
Epoch: [16][7070/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 2.4416 (2.7614)	Prec@1 43.750 (34.234)	Prec@5 71.094 (64.503)
Epoch: [16][7080/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.7707 (2.7615)	Prec@1 32.812 (34.231)	Prec@5 64.844 (64.502)
Epoch: [16][7090/14090]	Time 0.771 (0.765)	Data 0.001 (0.001)	Loss 2.7377 (2.7615)	Prec@1 37.500 (34.230)	Prec@5 66.406 (64.502)
Epoch: [16][7100/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.6462 (2.7616)	Prec@1 28.906 (34.228)	Prec@5 65.625 (64.500)
Epoch: [16][7110/14090]	Time 0.778 (0.766)	Data 0.001 (0.001)	Loss 3.0069 (2.7615)	Prec@1 29.688 (34.228)	Prec@5 59.375 (64.501)
Epoch: [16][7120/14090]	Time 0.786 (0.765)	Data 0.001 (0.001)	Loss 2.7837 (2.7616)	Prec@1 26.562 (34.227)	Prec@5 71.875 (64.500)
Epoch: [16][7130/14090]	Time 0.876 (0.766)	Data 0.001 (0.001)	Loss 2.8683 (2.7616)	Prec@1 32.812 (34.227)	Prec@5 60.938 (64.497)
Epoch: [16][7140/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.8780 (2.7616)	Prec@1 30.469 (34.227)	Prec@5 63.281 (64.498)
Epoch: [16][7150/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.6032 (2.7615)	Prec@1 46.094 (34.232)	Prec@5 68.750 (64.503)
Epoch: [16][7160/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.9408 (2.7615)	Prec@1 28.125 (34.229)	Prec@5 62.500 (64.500)
Epoch: [16][7170/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.6982 (2.7617)	Prec@1 33.594 (34.226)	Prec@5 64.844 (64.496)
Epoch: [16][7180/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.7493 (2.7617)	Prec@1 35.156 (34.227)	Prec@5 64.062 (64.498)
Epoch: [16][7190/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.5535 (2.7618)	Prec@1 35.938 (34.226)	Prec@5 68.750 (64.496)
Epoch: [16][7200/14090]	Time 0.878 (0.766)	Data 0.001 (0.001)	Loss 2.4738 (2.7618)	Prec@1 41.406 (34.225)	Prec@5 71.094 (64.497)
Epoch: [16][7210/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.4885 (2.7617)	Prec@1 44.531 (34.226)	Prec@5 67.969 (64.499)
Epoch: [16][7220/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.8799 (2.7618)	Prec@1 32.812 (34.226)	Prec@5 62.500 (64.497)
Epoch: [16][7230/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.6676 (2.7618)	Prec@1 32.031 (34.226)	Prec@5 67.969 (64.497)
Epoch: [16][7240/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.8278 (2.7620)	Prec@1 35.938 (34.222)	Prec@5 64.062 (64.494)
Epoch: [16][7250/14090]	Time 0.766 (0.765)	Data 0.001 (0.001)	Loss 2.8703 (2.7621)	Prec@1 35.156 (34.220)	Prec@5 61.719 (64.492)
Epoch: [16][7260/14090]	Time 0.781 (0.765)	Data 0.001 (0.001)	Loss 2.6279 (2.7620)	Prec@1 38.281 (34.225)	Prec@5 73.438 (64.499)
Epoch: [16][7270/14090]	Time 0.847 (0.765)	Data 0.001 (0.001)	Loss 2.7372 (2.7620)	Prec@1 33.594 (34.225)	Prec@5 66.406 (64.498)
Epoch: [16][7280/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.7360 (2.7620)	Prec@1 34.375 (34.225)	Prec@5 65.625 (64.499)
Epoch: [16][7290/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.8049 (2.7619)	Prec@1 35.938 (34.226)	Prec@5 68.750 (64.501)
Epoch: [16][7300/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.8392 (2.7620)	Prec@1 35.938 (34.225)	Prec@5 58.594 (64.501)
Epoch: [16][7310/14090]	Time 0.767 (0.765)	Data 0.001 (0.001)	Loss 2.9833 (2.7620)	Prec@1 31.250 (34.226)	Prec@5 58.594 (64.500)
Epoch: [16][7320/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.7886 (2.7623)	Prec@1 32.812 (34.221)	Prec@5 58.594 (64.495)
Epoch: [16][7330/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.5469 (2.7623)	Prec@1 37.500 (34.223)	Prec@5 70.312 (64.492)
Epoch: [16][7340/14090]	Time 0.846 (0.765)	Data 0.001 (0.001)	Loss 3.0284 (2.7623)	Prec@1 28.125 (34.224)	Prec@5 64.062 (64.492)
Epoch: [16][7350/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 3.0298 (2.7625)	Prec@1 34.375 (34.221)	Prec@5 58.594 (64.490)
Epoch: [16][7360/14090]	Time 0.777 (0.765)	Data 0.001 (0.001)	Loss 2.4007 (2.7624)	Prec@1 41.406 (34.221)	Prec@5 72.656 (64.490)
Epoch: [16][7370/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.6652 (2.7623)	Prec@1 32.031 (34.224)	Prec@5 64.844 (64.492)
Epoch: [16][7380/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.8006 (2.7623)	Prec@1 31.250 (34.225)	Prec@5 58.594 (64.490)
Epoch: [16][7390/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.5946 (2.7623)	Prec@1 39.062 (34.224)	Prec@5 68.750 (64.490)
Epoch: [16][7400/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.7743 (2.7624)	Prec@1 29.688 (34.224)	Prec@5 65.625 (64.489)
Epoch: [16][7410/14090]	Time 0.856 (0.765)	Data 0.001 (0.001)	Loss 3.0238 (2.7624)	Prec@1 27.344 (34.223)	Prec@5 60.938 (64.489)
Epoch: [16][7420/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 3.0052 (2.7623)	Prec@1 33.594 (34.225)	Prec@5 62.500 (64.491)
Epoch: [16][7430/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 3.0876 (2.7624)	Prec@1 31.250 (34.225)	Prec@5 60.938 (64.491)
Epoch: [16][7440/14090]	Time 0.775 (0.765)	Data 0.001 (0.001)	Loss 2.6061 (2.7625)	Prec@1 36.719 (34.222)	Prec@5 64.844 (64.487)
Epoch: [16][7450/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.5878 (2.7625)	Prec@1 42.188 (34.221)	Prec@5 67.969 (64.488)
Epoch: [16][7460/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.9657 (2.7626)	Prec@1 35.156 (34.220)	Prec@5 55.469 (64.489)
Epoch: [16][7470/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.8360 (2.7625)	Prec@1 33.594 (34.224)	Prec@5 59.375 (64.489)
Epoch: [16][7480/14090]	Time 0.879 (0.765)	Data 0.001 (0.001)	Loss 2.6739 (2.7624)	Prec@1 32.812 (34.224)	Prec@5 67.969 (64.492)
Epoch: [16][7490/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.2944 (2.7624)	Prec@1 46.094 (34.228)	Prec@5 73.438 (64.493)
Epoch: [16][7500/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.9186 (2.7624)	Prec@1 32.031 (34.228)	Prec@5 64.062 (64.492)
Epoch: [16][7510/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.7249 (2.7624)	Prec@1 34.375 (34.228)	Prec@5 64.844 (64.492)
Epoch: [16][7520/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.7102 (2.7625)	Prec@1 33.594 (34.224)	Prec@5 65.625 (64.491)
Epoch: [16][7530/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.7075 (2.7625)	Prec@1 32.812 (34.224)	Prec@5 61.719 (64.489)
Epoch: [16][7540/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.7384 (2.7624)	Prec@1 40.625 (34.226)	Prec@5 64.062 (64.494)
Epoch: [16][7550/14090]	Time 0.871 (0.765)	Data 0.001 (0.001)	Loss 2.8344 (2.7623)	Prec@1 27.344 (34.226)	Prec@5 62.500 (64.493)
Epoch: [16][7560/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.7099 (2.7623)	Prec@1 37.500 (34.227)	Prec@5 65.625 (64.492)
Epoch: [16][7570/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.5863 (2.7623)	Prec@1 32.812 (34.225)	Prec@5 64.844 (64.491)
Epoch: [16][7580/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.7513 (2.7624)	Prec@1 38.281 (34.224)	Prec@5 64.062 (64.490)
Epoch: [16][7590/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.6405 (2.7623)	Prec@1 35.938 (34.225)	Prec@5 65.625 (64.492)
Epoch: [16][7600/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.7228 (2.7622)	Prec@1 36.719 (34.226)	Prec@5 64.062 (64.497)
Epoch: [16][7610/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 2.6654 (2.7621)	Prec@1 32.812 (34.229)	Prec@5 67.188 (64.500)
Epoch: [16][7620/14090]	Time 0.913 (0.765)	Data 0.001 (0.001)	Loss 2.6191 (2.7621)	Prec@1 35.938 (34.229)	Prec@5 66.406 (64.500)
Epoch: [16][7630/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.7525 (2.7622)	Prec@1 33.594 (34.230)	Prec@5 67.969 (64.501)
Epoch: [16][7640/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.7063 (2.7621)	Prec@1 34.375 (34.230)	Prec@5 64.062 (64.501)
Epoch: [16][7650/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.7576 (2.7622)	Prec@1 35.938 (34.230)	Prec@5 67.188 (64.501)
Epoch: [16][7660/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.6617 (2.7621)	Prec@1 35.156 (34.231)	Prec@5 71.875 (64.504)
Epoch: [16][7670/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 2.8374 (2.7621)	Prec@1 32.812 (34.230)	Prec@5 67.969 (64.501)
Epoch: [16][7680/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.8150 (2.7620)	Prec@1 34.375 (34.231)	Prec@5 64.062 (64.504)
Epoch: [16][7690/14090]	Time 0.864 (0.765)	Data 0.001 (0.001)	Loss 3.1843 (2.7620)	Prec@1 28.906 (34.230)	Prec@5 62.500 (64.504)
Epoch: [16][7700/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 3.0173 (2.7620)	Prec@1 35.156 (34.231)	Prec@5 55.469 (64.506)
Epoch: [16][7710/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 2.7221 (2.7620)	Prec@1 34.375 (34.231)	Prec@5 64.062 (64.505)
Epoch: [16][7720/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 2.8653 (2.7619)	Prec@1 32.812 (34.230)	Prec@5 64.062 (64.506)
Epoch: [16][7730/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.9827 (2.7620)	Prec@1 25.000 (34.229)	Prec@5 63.281 (64.509)
Epoch: [16][7740/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.7811 (2.7620)	Prec@1 34.375 (34.230)	Prec@5 64.844 (64.510)
Epoch: [16][7750/14090]	Time 0.802 (0.765)	Data 0.001 (0.001)	Loss 2.7647 (2.7620)	Prec@1 35.938 (34.229)	Prec@5 67.188 (64.509)
Epoch: [16][7760/14090]	Time 0.848 (0.765)	Data 0.001 (0.001)	Loss 3.1792 (2.7621)	Prec@1 26.562 (34.227)	Prec@5 55.469 (64.508)
Epoch: [16][7770/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.5864 (2.7620)	Prec@1 36.719 (34.227)	Prec@5 61.719 (64.509)
Epoch: [16][7780/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 2.7278 (2.7619)	Prec@1 31.250 (34.229)	Prec@5 60.938 (64.509)
Epoch: [16][7790/14090]	Time 0.775 (0.765)	Data 0.001 (0.001)	Loss 2.8982 (2.7618)	Prec@1 32.031 (34.229)	Prec@5 61.719 (64.509)
Epoch: [16][7800/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 3.0016 (2.7618)	Prec@1 26.562 (34.227)	Prec@5 64.844 (64.511)
Epoch: [16][7810/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.7563 (2.7618)	Prec@1 35.938 (34.227)	Prec@5 64.844 (64.512)
Epoch: [16][7820/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 3.0807 (2.7618)	Prec@1 25.781 (34.225)	Prec@5 59.375 (64.509)
Epoch: [16][7830/14090]	Time 0.908 (0.765)	Data 0.001 (0.001)	Loss 2.6626 (2.7619)	Prec@1 36.719 (34.225)	Prec@5 65.625 (64.508)
Epoch: [16][7840/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.7881 (2.7620)	Prec@1 30.469 (34.223)	Prec@5 61.719 (64.507)
Epoch: [16][7850/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.9697 (2.7620)	Prec@1 32.812 (34.224)	Prec@5 63.281 (64.505)
Epoch: [16][7860/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.6962 (2.7619)	Prec@1 37.500 (34.224)	Prec@5 62.500 (64.508)
Epoch: [16][7870/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.7574 (2.7619)	Prec@1 37.500 (34.223)	Prec@5 66.406 (64.509)
Epoch: [16][7880/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.4818 (2.7619)	Prec@1 36.719 (34.225)	Prec@5 70.312 (64.511)
Epoch: [16][7890/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 3.1138 (2.7621)	Prec@1 27.344 (34.221)	Prec@5 62.500 (64.507)
Epoch: [16][7900/14090]	Time 0.843 (0.765)	Data 0.001 (0.001)	Loss 2.7407 (2.7622)	Prec@1 35.938 (34.220)	Prec@5 67.969 (64.505)
Epoch: [16][7910/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.7450 (2.7622)	Prec@1 36.719 (34.218)	Prec@5 66.406 (64.504)
Epoch: [16][7920/14090]	Time 0.774 (0.765)	Data 0.001 (0.001)	Loss 2.9198 (2.7622)	Prec@1 26.562 (34.218)	Prec@5 58.594 (64.504)
Epoch: [16][7930/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.9045 (2.7622)	Prec@1 27.344 (34.218)	Prec@5 64.062 (64.506)
Epoch: [16][7940/14090]	Time 0.777 (0.765)	Data 0.001 (0.001)	Loss 3.0168 (2.7622)	Prec@1 22.656 (34.217)	Prec@5 55.469 (64.507)
Epoch: [16][7950/14090]	Time 0.766 (0.765)	Data 0.001 (0.001)	Loss 2.7387 (2.7622)	Prec@1 33.594 (34.218)	Prec@5 64.844 (64.506)
Epoch: [16][7960/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.7127 (2.7622)	Prec@1 34.375 (34.218)	Prec@5 68.750 (64.507)
Epoch: [16][7970/14090]	Time 0.879 (0.765)	Data 0.001 (0.001)	Loss 2.8602 (2.7622)	Prec@1 32.031 (34.218)	Prec@5 62.500 (64.507)
Epoch: [16][7980/14090]	Time 0.767 (0.765)	Data 0.001 (0.001)	Loss 2.6803 (2.7622)	Prec@1 42.188 (34.220)	Prec@5 64.844 (64.506)
Epoch: [16][7990/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.9923 (2.7622)	Prec@1 31.250 (34.220)	Prec@5 59.375 (64.504)
Epoch: [16][8000/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.4594 (2.7622)	Prec@1 37.500 (34.220)	Prec@5 68.750 (64.504)
Epoch: [16][8010/14090]	Time 0.769 (0.766)	Data 0.001 (0.001)	Loss 2.6259 (2.7622)	Prec@1 41.406 (34.221)	Prec@5 64.844 (64.503)
Epoch: [16][8020/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.7597 (2.7622)	Prec@1 32.031 (34.220)	Prec@5 61.719 (64.504)
Epoch: [16][8030/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.7279 (2.7622)	Prec@1 37.500 (34.221)	Prec@5 70.312 (64.503)
Epoch: [16][8040/14090]	Time 0.858 (0.766)	Data 0.001 (0.001)	Loss 2.6464 (2.7623)	Prec@1 32.812 (34.219)	Prec@5 72.656 (64.504)
Epoch: [16][8050/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.6852 (2.7623)	Prec@1 35.938 (34.218)	Prec@5 68.750 (64.504)
Epoch: [16][8060/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.7846 (2.7623)	Prec@1 34.375 (34.217)	Prec@5 64.844 (64.504)
Epoch: [16][8070/14090]	Time 0.775 (0.766)	Data 0.001 (0.001)	Loss 2.6365 (2.7624)	Prec@1 41.406 (34.215)	Prec@5 64.844 (64.503)
Epoch: [16][8080/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.5364 (2.7625)	Prec@1 39.062 (34.214)	Prec@5 69.531 (64.501)
Epoch: [16][8090/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.9769 (2.7625)	Prec@1 30.469 (34.212)	Prec@5 54.688 (64.501)
Epoch: [16][8100/14090]	Time 0.777 (0.766)	Data 0.001 (0.001)	Loss 2.7862 (2.7625)	Prec@1 27.344 (34.212)	Prec@5 63.281 (64.502)
Epoch: [16][8110/14090]	Time 0.846 (0.766)	Data 0.001 (0.001)	Loss 2.7029 (2.7625)	Prec@1 32.031 (34.213)	Prec@5 67.188 (64.502)
Epoch: [16][8120/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.8191 (2.7625)	Prec@1 29.688 (34.211)	Prec@5 61.719 (64.502)
Epoch: [16][8130/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.9238 (2.7626)	Prec@1 32.031 (34.208)	Prec@5 60.938 (64.498)
Epoch: [16][8140/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.7194 (2.7627)	Prec@1 33.594 (34.206)	Prec@5 63.281 (64.497)
Epoch: [16][8150/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.6767 (2.7628)	Prec@1 37.500 (34.205)	Prec@5 65.625 (64.496)
Epoch: [16][8160/14090]	Time 0.770 (0.766)	Data 0.001 (0.001)	Loss 2.7836 (2.7628)	Prec@1 37.500 (34.206)	Prec@5 66.406 (64.496)
Epoch: [16][8170/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.7152 (2.7628)	Prec@1 39.844 (34.206)	Prec@5 59.375 (64.496)
Epoch: [16][8180/14090]	Time 0.868 (0.766)	Data 0.001 (0.001)	Loss 2.4421 (2.7628)	Prec@1 43.750 (34.206)	Prec@5 70.312 (64.496)
Epoch: [16][8190/14090]	Time 0.775 (0.766)	Data 0.001 (0.001)	Loss 2.8060 (2.7628)	Prec@1 37.500 (34.207)	Prec@5 63.281 (64.497)
Epoch: [16][8200/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.9346 (2.7628)	Prec@1 24.219 (34.207)	Prec@5 55.469 (64.497)
Epoch: [16][8210/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.6076 (2.7628)	Prec@1 35.156 (34.207)	Prec@5 69.531 (64.497)
Epoch: [16][8220/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.8704 (2.7628)	Prec@1 35.156 (34.207)	Prec@5 66.406 (64.499)
Epoch: [16][8230/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 2.9539 (2.7629)	Prec@1 35.156 (34.205)	Prec@5 58.594 (64.497)
Epoch: [16][8240/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.8199 (2.7629)	Prec@1 35.156 (34.205)	Prec@5 60.156 (64.496)
Epoch: [16][8250/14090]	Time 0.832 (0.765)	Data 0.001 (0.001)	Loss 2.8535 (2.7630)	Prec@1 35.156 (34.202)	Prec@5 56.250 (64.494)
Epoch: [16][8260/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.9192 (2.7631)	Prec@1 31.250 (34.200)	Prec@5 64.844 (64.492)
Epoch: [16][8270/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 3.0856 (2.7632)	Prec@1 28.906 (34.199)	Prec@5 60.156 (64.491)
Epoch: [16][8280/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 3.0142 (2.7631)	Prec@1 34.375 (34.200)	Prec@5 57.031 (64.492)
Epoch: [16][8290/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.7711 (2.7632)	Prec@1 32.812 (34.199)	Prec@5 60.156 (64.490)
Epoch: [16][8300/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.6143 (2.7631)	Prec@1 39.062 (34.200)	Prec@5 65.625 (64.492)
Epoch: [16][8310/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.8657 (2.7632)	Prec@1 36.719 (34.200)	Prec@5 57.812 (64.490)
Epoch: [16][8320/14090]	Time 0.837 (0.765)	Data 0.001 (0.001)	Loss 2.9337 (2.7631)	Prec@1 28.906 (34.201)	Prec@5 64.844 (64.493)
Epoch: [16][8330/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.6920 (2.7630)	Prec@1 39.844 (34.204)	Prec@5 64.844 (64.494)
Epoch: [16][8340/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.7445 (2.7630)	Prec@1 36.719 (34.205)	Prec@5 65.625 (64.496)
Epoch: [16][8350/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.4526 (2.7629)	Prec@1 42.188 (34.206)	Prec@5 69.531 (64.499)
Epoch: [16][8360/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 3.1654 (2.7630)	Prec@1 25.000 (34.203)	Prec@5 57.812 (64.497)
Epoch: [16][8370/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.5647 (2.7629)	Prec@1 40.625 (34.202)	Prec@5 67.969 (64.499)
Epoch: [16][8380/14090]	Time 0.747 (0.765)	Data 0.002 (0.001)	Loss 2.8258 (2.7629)	Prec@1 33.594 (34.203)	Prec@5 61.719 (64.500)
Epoch: [16][8390/14090]	Time 0.864 (0.765)	Data 0.001 (0.001)	Loss 3.0613 (2.7628)	Prec@1 28.125 (34.203)	Prec@5 60.938 (64.500)
Epoch: [16][8400/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.7354 (2.7628)	Prec@1 32.812 (34.202)	Prec@5 64.844 (64.501)
Epoch: [16][8410/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 3.1037 (2.7628)	Prec@1 28.906 (34.202)	Prec@5 57.031 (64.502)
Epoch: [16][8420/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.6673 (2.7628)	Prec@1 34.375 (34.203)	Prec@5 67.188 (64.502)
Epoch: [16][8430/14090]	Time 0.779 (0.765)	Data 0.001 (0.001)	Loss 2.9160 (2.7628)	Prec@1 34.375 (34.202)	Prec@5 60.938 (64.502)
Epoch: [16][8440/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.6958 (2.7628)	Prec@1 33.594 (34.201)	Prec@5 69.531 (64.502)
Epoch: [16][8450/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.8575 (2.7627)	Prec@1 32.812 (34.202)	Prec@5 57.812 (64.504)
Epoch: [16][8460/14090]	Time 0.862 (0.765)	Data 0.001 (0.001)	Loss 2.3714 (2.7626)	Prec@1 43.750 (34.205)	Prec@5 70.312 (64.508)
Epoch: [16][8470/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.8918 (2.7627)	Prec@1 34.375 (34.204)	Prec@5 60.938 (64.508)
Epoch: [16][8480/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.8966 (2.7626)	Prec@1 32.031 (34.205)	Prec@5 60.156 (64.508)
Epoch: [16][8490/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.9250 (2.7627)	Prec@1 32.031 (34.203)	Prec@5 62.500 (64.506)
Epoch: [16][8500/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.7782 (2.7628)	Prec@1 32.031 (34.202)	Prec@5 69.531 (64.506)
Epoch: [16][8510/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 2.8050 (2.7629)	Prec@1 32.812 (34.202)	Prec@5 61.719 (64.504)
Epoch: [16][8520/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.5489 (2.7628)	Prec@1 36.719 (34.204)	Prec@5 69.531 (64.507)
Epoch: [16][8530/14090]	Time 0.888 (0.765)	Data 0.001 (0.001)	Loss 2.7696 (2.7628)	Prec@1 30.469 (34.203)	Prec@5 64.844 (64.506)
Epoch: [16][8540/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.7527 (2.7627)	Prec@1 32.812 (34.204)	Prec@5 64.844 (64.507)
Epoch: [16][8550/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.8037 (2.7627)	Prec@1 32.812 (34.204)	Prec@5 59.375 (64.508)
Epoch: [16][8560/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.5383 (2.7626)	Prec@1 36.719 (34.206)	Prec@5 67.969 (64.511)
Epoch: [16][8570/14090]	Time 0.767 (0.765)	Data 0.001 (0.001)	Loss 2.7170 (2.7625)	Prec@1 34.375 (34.206)	Prec@5 60.938 (64.511)
Epoch: [16][8580/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 2.9734 (2.7627)	Prec@1 33.594 (34.201)	Prec@5 63.281 (64.508)
Epoch: [16][8590/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 3.0289 (2.7627)	Prec@1 30.469 (34.201)	Prec@5 64.062 (64.506)
Epoch: [16][8600/14090]	Time 0.845 (0.765)	Data 0.001 (0.001)	Loss 3.0728 (2.7628)	Prec@1 27.344 (34.200)	Prec@5 60.938 (64.505)
Epoch: [16][8610/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.7301 (2.7629)	Prec@1 36.719 (34.198)	Prec@5 64.062 (64.501)
Epoch: [16][8620/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.8626 (2.7629)	Prec@1 32.031 (34.197)	Prec@5 60.938 (64.501)
Epoch: [16][8630/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.8355 (2.7629)	Prec@1 38.281 (34.199)	Prec@5 65.625 (64.501)
Epoch: [16][8640/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.9351 (2.7629)	Prec@1 31.250 (34.200)	Prec@5 64.062 (64.502)
Epoch: [16][8650/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.4321 (2.7628)	Prec@1 34.375 (34.200)	Prec@5 74.219 (64.505)
Epoch: [16][8660/14090]	Time 0.766 (0.765)	Data 0.001 (0.001)	Loss 2.9433 (2.7628)	Prec@1 32.812 (34.202)	Prec@5 61.719 (64.504)
Epoch: [16][8670/14090]	Time 0.915 (0.766)	Data 0.001 (0.001)	Loss 2.6057 (2.7627)	Prec@1 41.406 (34.203)	Prec@5 67.969 (64.504)
Epoch: [16][8680/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.4715 (2.7627)	Prec@1 37.500 (34.203)	Prec@5 70.312 (64.504)
Epoch: [16][8690/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.8179 (2.7627)	Prec@1 34.375 (34.202)	Prec@5 62.500 (64.506)
Epoch: [16][8700/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.7995 (2.7628)	Prec@1 32.031 (34.202)	Prec@5 60.938 (64.503)
Epoch: [16][8710/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.7449 (2.7628)	Prec@1 39.844 (34.202)	Prec@5 63.281 (64.502)
Epoch: [16][8720/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.3893 (2.7628)	Prec@1 39.844 (34.200)	Prec@5 71.094 (64.502)
Epoch: [16][8730/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.9396 (2.7628)	Prec@1 29.688 (34.200)	Prec@5 60.938 (64.501)
Epoch: [16][8740/14090]	Time 0.867 (0.766)	Data 0.001 (0.001)	Loss 2.7516 (2.7629)	Prec@1 32.812 (34.200)	Prec@5 61.719 (64.500)
Epoch: [16][8750/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.7030 (2.7629)	Prec@1 30.469 (34.198)	Prec@5 67.969 (64.500)
Epoch: [16][8760/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.9867 (2.7630)	Prec@1 33.594 (34.196)	Prec@5 59.375 (64.498)
Epoch: [16][8770/14090]	Time 0.778 (0.766)	Data 0.001 (0.001)	Loss 2.5139 (2.7630)	Prec@1 42.188 (34.198)	Prec@5 66.406 (64.499)
Epoch: [16][8780/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.7309 (2.7630)	Prec@1 33.594 (34.197)	Prec@5 60.156 (64.498)
Epoch: [16][8790/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.6402 (2.7630)	Prec@1 37.500 (34.197)	Prec@5 68.750 (64.497)
Epoch: [16][8800/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.6889 (2.7630)	Prec@1 39.062 (34.195)	Prec@5 65.625 (64.498)
Epoch: [16][8810/14090]	Time 0.827 (0.766)	Data 0.001 (0.001)	Loss 2.6732 (2.7630)	Prec@1 39.062 (34.197)	Prec@5 64.062 (64.497)
Epoch: [16][8820/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.7479 (2.7632)	Prec@1 29.688 (34.194)	Prec@5 67.969 (64.495)
Epoch: [16][8830/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.7675 (2.7631)	Prec@1 35.938 (34.194)	Prec@5 65.625 (64.496)
Epoch: [16][8840/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.9024 (2.7631)	Prec@1 33.594 (34.194)	Prec@5 66.406 (64.497)
Epoch: [16][8850/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.5661 (2.7630)	Prec@1 39.062 (34.196)	Prec@5 68.750 (64.498)
Epoch: [16][8860/14090]	Time 0.756 (0.766)	Data 0.002 (0.001)	Loss 2.8780 (2.7630)	Prec@1 31.250 (34.196)	Prec@5 61.719 (64.499)
Epoch: [16][8870/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.7514 (2.7630)	Prec@1 33.594 (34.198)	Prec@5 67.188 (64.498)
Epoch: [16][8880/14090]	Time 0.865 (0.766)	Data 0.001 (0.001)	Loss 2.7207 (2.7631)	Prec@1 35.938 (34.197)	Prec@5 63.281 (64.496)
Epoch: [16][8890/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.8927 (2.7631)	Prec@1 32.812 (34.198)	Prec@5 64.062 (64.496)
Epoch: [16][8900/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.5211 (2.7631)	Prec@1 42.969 (34.198)	Prec@5 71.094 (64.496)
Epoch: [16][8910/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.9474 (2.7631)	Prec@1 35.156 (34.198)	Prec@5 60.156 (64.495)
Epoch: [16][8920/14090]	Time 0.776 (0.766)	Data 0.001 (0.001)	Loss 2.6918 (2.7632)	Prec@1 35.938 (34.198)	Prec@5 60.938 (64.495)
Epoch: [16][8930/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.7592 (2.7631)	Prec@1 28.125 (34.197)	Prec@5 64.062 (64.493)
Epoch: [16][8940/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 3.0313 (2.7632)	Prec@1 28.906 (34.197)	Prec@5 57.812 (64.491)
Epoch: [16][8950/14090]	Time 0.826 (0.766)	Data 0.001 (0.001)	Loss 2.8516 (2.7633)	Prec@1 32.031 (34.195)	Prec@5 64.062 (64.489)
Epoch: [16][8960/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.7252 (2.7634)	Prec@1 33.594 (34.192)	Prec@5 66.406 (64.488)
Epoch: [16][8970/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.6095 (2.7634)	Prec@1 40.625 (34.191)	Prec@5 69.531 (64.487)
Epoch: [16][8980/14090]	Time 0.786 (0.766)	Data 0.001 (0.001)	Loss 2.7405 (2.7633)	Prec@1 32.812 (34.191)	Prec@5 63.281 (64.488)
Epoch: [16][8990/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.9275 (2.7633)	Prec@1 32.031 (34.191)	Prec@5 53.906 (64.487)
Epoch: [16][9000/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.5111 (2.7633)	Prec@1 36.719 (34.189)	Prec@5 65.625 (64.487)
Epoch: [16][9010/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.7993 (2.7632)	Prec@1 29.688 (34.189)	Prec@5 64.062 (64.489)
Epoch: [16][9020/14090]	Time 0.814 (0.766)	Data 0.001 (0.001)	Loss 2.8352 (2.7632)	Prec@1 32.031 (34.189)	Prec@5 67.969 (64.488)
Epoch: [16][9030/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 2.6037 (2.7633)	Prec@1 37.500 (34.187)	Prec@5 67.188 (64.489)
Epoch: [16][9040/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.8215 (2.7633)	Prec@1 32.812 (34.187)	Prec@5 61.719 (64.488)
Epoch: [16][9050/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.7616 (2.7633)	Prec@1 34.375 (34.187)	Prec@5 68.750 (64.489)
Epoch: [16][9060/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.7646 (2.7633)	Prec@1 35.156 (34.187)	Prec@5 60.938 (64.487)
Epoch: [16][9070/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.7940 (2.7633)	Prec@1 35.156 (34.188)	Prec@5 61.719 (64.488)
Epoch: [16][9080/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.8400 (2.7632)	Prec@1 32.031 (34.188)	Prec@5 61.719 (64.490)
Epoch: [16][9090/14090]	Time 0.863 (0.766)	Data 0.001 (0.001)	Loss 3.0965 (2.7632)	Prec@1 28.125 (34.189)	Prec@5 58.594 (64.491)
Epoch: [16][9100/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.7189 (2.7631)	Prec@1 41.406 (34.191)	Prec@5 61.719 (64.493)
Epoch: [16][9110/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 2.6931 (2.7631)	Prec@1 36.719 (34.191)	Prec@5 62.500 (64.492)
Epoch: [16][9120/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.8132 (2.7631)	Prec@1 27.344 (34.192)	Prec@5 67.188 (64.494)
Epoch: [16][9130/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 2.6686 (2.7631)	Prec@1 39.844 (34.193)	Prec@5 61.719 (64.494)
Epoch: [16][9140/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.7625 (2.7631)	Prec@1 37.500 (34.192)	Prec@5 66.406 (64.494)
Epoch: [16][9150/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.9595 (2.7631)	Prec@1 33.594 (34.192)	Prec@5 60.938 (64.494)
Epoch: [16][9160/14090]	Time 0.868 (0.766)	Data 0.001 (0.001)	Loss 2.9790 (2.7631)	Prec@1 32.031 (34.194)	Prec@5 61.719 (64.494)
Epoch: [16][9170/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.6883 (2.7631)	Prec@1 35.938 (34.193)	Prec@5 64.844 (64.494)
Epoch: [16][9180/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.7998 (2.7631)	Prec@1 37.500 (34.193)	Prec@5 62.500 (64.494)
Epoch: [16][9190/14090]	Time 0.769 (0.766)	Data 0.001 (0.001)	Loss 2.4397 (2.7631)	Prec@1 35.938 (34.195)	Prec@5 76.562 (64.496)
Epoch: [16][9200/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.7177 (2.7630)	Prec@1 35.938 (34.197)	Prec@5 66.406 (64.498)
Epoch: [16][9210/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 2.7939 (2.7630)	Prec@1 37.500 (34.198)	Prec@5 63.281 (64.499)
Epoch: [16][9220/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.5335 (2.7630)	Prec@1 39.844 (34.199)	Prec@5 71.094 (64.501)
Epoch: [16][9230/14090]	Time 0.880 (0.766)	Data 0.001 (0.001)	Loss 2.7911 (2.7630)	Prec@1 30.469 (34.197)	Prec@5 67.188 (64.501)
Epoch: [16][9240/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.9969 (2.7630)	Prec@1 28.906 (34.195)	Prec@5 60.938 (64.502)
Epoch: [16][9250/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.5035 (2.7629)	Prec@1 37.500 (34.195)	Prec@5 73.438 (64.504)
Epoch: [16][9260/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.7162 (2.7630)	Prec@1 33.594 (34.194)	Prec@5 60.938 (64.501)
Epoch: [16][9270/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.8288 (2.7631)	Prec@1 37.500 (34.193)	Prec@5 61.719 (64.500)
Epoch: [16][9280/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 2.7711 (2.7631)	Prec@1 35.938 (34.194)	Prec@5 66.406 (64.499)
Epoch: [16][9290/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 2.7574 (2.7631)	Prec@1 39.844 (34.194)	Prec@5 64.844 (64.501)
Epoch: [16][9300/14090]	Time 0.866 (0.766)	Data 0.001 (0.001)	Loss 3.0524 (2.7631)	Prec@1 33.594 (34.194)	Prec@5 59.375 (64.500)
Epoch: [16][9310/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 2.5514 (2.7631)	Prec@1 36.719 (34.195)	Prec@5 70.312 (64.502)
Epoch: [16][9320/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.8075 (2.7630)	Prec@1 32.031 (34.195)	Prec@5 66.406 (64.505)
Epoch: [16][9330/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.7046 (2.7631)	Prec@1 31.250 (34.193)	Prec@5 67.188 (64.504)
Epoch: [16][9340/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.6259 (2.7631)	Prec@1 35.938 (34.193)	Prec@5 67.188 (64.503)
Epoch: [16][9350/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 2.5127 (2.7632)	Prec@1 39.844 (34.191)	Prec@5 67.969 (64.501)
Epoch: [16][9360/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.7130 (2.7631)	Prec@1 28.125 (34.191)	Prec@5 67.188 (64.502)
Epoch: [16][9370/14090]	Time 0.836 (0.766)	Data 0.001 (0.001)	Loss 2.5835 (2.7630)	Prec@1 35.938 (34.191)	Prec@5 68.750 (64.505)
Epoch: [16][9380/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 2.5744 (2.7629)	Prec@1 41.406 (34.194)	Prec@5 67.188 (64.507)
Epoch: [16][9390/14090]	Time 0.774 (0.766)	Data 0.001 (0.001)	Loss 2.6362 (2.7630)	Prec@1 35.938 (34.193)	Prec@5 62.500 (64.505)
Epoch: [16][9400/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 3.0285 (2.7629)	Prec@1 31.250 (34.194)	Prec@5 60.938 (64.506)
Epoch: [16][9410/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 2.8135 (2.7630)	Prec@1 32.031 (34.195)	Prec@5 64.062 (64.506)
Epoch: [16][9420/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 2.6188 (2.7630)	Prec@1 32.812 (34.194)	Prec@5 69.531 (64.508)
Epoch: [16][9430/14090]	Time 0.769 (0.766)	Data 0.001 (0.001)	Loss 2.4875 (2.7629)	Prec@1 41.406 (34.197)	Prec@5 69.531 (64.510)
Epoch: [16][9440/14090]	Time 0.863 (0.766)	Data 0.001 (0.001)	Loss 2.5394 (2.7629)	Prec@1 33.594 (34.197)	Prec@5 72.656 (64.510)
Epoch: [16][9450/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 3.0429 (2.7630)	Prec@1 25.781 (34.195)	Prec@5 59.375 (64.508)
Epoch: [16][9460/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.9500 (2.7631)	Prec@1 27.344 (34.194)	Prec@5 65.625 (64.509)
Epoch: [16][9470/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.9072 (2.7632)	Prec@1 31.250 (34.193)	Prec@5 63.281 (64.507)
Epoch: [16][9480/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.4954 (2.7632)	Prec@1 39.062 (34.192)	Prec@5 69.531 (64.508)
Epoch: [16][9490/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.8977 (2.7632)	Prec@1 28.125 (34.191)	Prec@5 67.188 (64.507)
Epoch: [16][9500/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.8781 (2.7633)	Prec@1 29.688 (34.189)	Prec@5 68.750 (64.506)
Epoch: [16][9510/14090]	Time 0.879 (0.766)	Data 0.001 (0.001)	Loss 2.8427 (2.7633)	Prec@1 35.156 (34.189)	Prec@5 63.281 (64.506)
Epoch: [16][9520/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.8200 (2.7633)	Prec@1 36.719 (34.189)	Prec@5 59.375 (64.504)
Epoch: [16][9530/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.7213 (2.7634)	Prec@1 35.156 (34.187)	Prec@5 60.156 (64.503)
Epoch: [16][9540/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.7859 (2.7634)	Prec@1 35.156 (34.186)	Prec@5 64.844 (64.503)
Epoch: [16][9550/14090]	Time 0.723 (0.766)	Data 0.001 (0.001)	Loss 2.7779 (2.7634)	Prec@1 34.375 (34.185)	Prec@5 64.062 (64.503)
Epoch: [16][9560/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.8125 (2.7634)	Prec@1 35.938 (34.186)	Prec@5 60.938 (64.503)
Epoch: [16][9570/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.8114 (2.7635)	Prec@1 27.344 (34.183)	Prec@5 64.062 (64.501)
Epoch: [16][9580/14090]	Time 0.873 (0.766)	Data 0.001 (0.001)	Loss 2.5018 (2.7635)	Prec@1 39.844 (34.183)	Prec@5 70.312 (64.499)
Epoch: [16][9590/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.4773 (2.7635)	Prec@1 41.406 (34.183)	Prec@5 71.094 (64.501)
Epoch: [16][9600/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.5797 (2.7633)	Prec@1 40.625 (34.187)	Prec@5 64.062 (64.503)
Epoch: [16][9610/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.8894 (2.7634)	Prec@1 34.375 (34.184)	Prec@5 59.375 (64.500)
Epoch: [16][9620/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.9121 (2.7635)	Prec@1 32.031 (34.182)	Prec@5 59.375 (64.498)
Epoch: [16][9630/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.6563 (2.7634)	Prec@1 37.500 (34.185)	Prec@5 64.062 (64.499)
Epoch: [16][9640/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.9094 (2.7634)	Prec@1 30.469 (34.185)	Prec@5 61.719 (64.499)
Epoch: [16][9650/14090]	Time 0.822 (0.765)	Data 0.001 (0.001)	Loss 2.7015 (2.7634)	Prec@1 34.375 (34.186)	Prec@5 66.406 (64.500)
Epoch: [16][9660/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.6881 (2.7633)	Prec@1 35.938 (34.187)	Prec@5 66.406 (64.501)
Epoch: [16][9670/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.5328 (2.7632)	Prec@1 35.156 (34.190)	Prec@5 64.844 (64.502)
Epoch: [16][9680/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 2.5832 (2.7632)	Prec@1 32.812 (34.188)	Prec@5 62.500 (64.501)
Epoch: [16][9690/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.8633 (2.7633)	Prec@1 32.031 (34.186)	Prec@5 65.625 (64.500)
Epoch: [16][9700/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.7687 (2.7633)	Prec@1 26.562 (34.185)	Prec@5 64.062 (64.500)
Epoch: [16][9710/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.5399 (2.7633)	Prec@1 33.594 (34.187)	Prec@5 70.312 (64.501)
Epoch: [16][9720/14090]	Time 0.856 (0.765)	Data 0.001 (0.001)	Loss 2.5514 (2.7633)	Prec@1 39.062 (34.187)	Prec@5 66.406 (64.500)
Epoch: [16][9730/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 2.7495 (2.7633)	Prec@1 40.625 (34.188)	Prec@5 67.969 (64.501)
Epoch: [16][9740/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.4326 (2.7632)	Prec@1 39.062 (34.190)	Prec@5 69.531 (64.503)
Epoch: [16][9750/14090]	Time 0.785 (0.765)	Data 0.001 (0.001)	Loss 2.5918 (2.7631)	Prec@1 42.188 (34.191)	Prec@5 65.625 (64.505)
Epoch: [16][9760/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.8129 (2.7632)	Prec@1 39.062 (34.190)	Prec@5 62.500 (64.502)
Epoch: [16][9770/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.8575 (2.7632)	Prec@1 39.844 (34.192)	Prec@5 62.500 (64.503)
Epoch: [16][9780/14090]	Time 0.721 (0.765)	Data 0.001 (0.001)	Loss 2.6613 (2.7632)	Prec@1 39.844 (34.191)	Prec@5 63.281 (64.502)
Epoch: [16][9790/14090]	Time 0.898 (0.765)	Data 0.001 (0.001)	Loss 2.9926 (2.7633)	Prec@1 27.344 (34.191)	Prec@5 64.062 (64.503)
Epoch: [16][9800/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.7206 (2.7632)	Prec@1 26.562 (34.190)	Prec@5 68.750 (64.505)
Epoch: [16][9810/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.7201 (2.7632)	Prec@1 33.594 (34.191)	Prec@5 64.062 (64.506)
Epoch: [16][9820/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.6144 (2.7632)	Prec@1 37.500 (34.191)	Prec@5 65.625 (64.505)
Epoch: [16][9830/14090]	Time 0.772 (0.765)	Data 0.001 (0.001)	Loss 2.7940 (2.7633)	Prec@1 29.688 (34.192)	Prec@5 63.281 (64.503)
Epoch: [16][9840/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 2.7600 (2.7633)	Prec@1 32.812 (34.191)	Prec@5 64.062 (64.502)
Epoch: [16][9850/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.6447 (2.7633)	Prec@1 36.719 (34.191)	Prec@5 64.062 (64.502)
Epoch: [16][9860/14090]	Time 0.878 (0.765)	Data 0.001 (0.001)	Loss 2.9240 (2.7632)	Prec@1 32.812 (34.194)	Prec@5 63.281 (64.505)
Epoch: [16][9870/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 2.7935 (2.7632)	Prec@1 31.250 (34.196)	Prec@5 62.500 (64.503)
Epoch: [16][9880/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.7948 (2.7632)	Prec@1 35.156 (34.196)	Prec@5 64.062 (64.504)
Epoch: [16][9890/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.9226 (2.7632)	Prec@1 34.375 (34.197)	Prec@5 59.375 (64.503)
Epoch: [16][9900/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.5472 (2.7632)	Prec@1 35.156 (34.195)	Prec@5 71.875 (64.502)
Epoch: [16][9910/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.5853 (2.7632)	Prec@1 42.188 (34.196)	Prec@5 70.312 (64.501)
Epoch: [16][9920/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 3.0379 (2.7632)	Prec@1 34.375 (34.197)	Prec@5 57.812 (64.500)
Epoch: [16][9930/14090]	Time 0.857 (0.765)	Data 0.001 (0.001)	Loss 2.5364 (2.7632)	Prec@1 31.250 (34.196)	Prec@5 72.656 (64.501)
Epoch: [16][9940/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.6596 (2.7632)	Prec@1 36.719 (34.198)	Prec@5 64.844 (64.501)
Epoch: [16][9950/14090]	Time 0.788 (0.765)	Data 0.001 (0.001)	Loss 2.7879 (2.7632)	Prec@1 34.375 (34.198)	Prec@5 65.625 (64.502)
Epoch: [16][9960/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.8075 (2.7632)	Prec@1 32.812 (34.199)	Prec@5 59.375 (64.502)
Epoch: [16][9970/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.9445 (2.7631)	Prec@1 25.000 (34.199)	Prec@5 63.281 (64.504)
Epoch: [16][9980/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.7038 (2.7631)	Prec@1 26.562 (34.199)	Prec@5 63.281 (64.504)
Epoch: [16][9990/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.6878 (2.7631)	Prec@1 33.594 (34.199)	Prec@5 66.406 (64.504)
Epoch: [16][10000/14090]	Time 0.815 (0.765)	Data 0.001 (0.001)	Loss 2.7805 (2.7632)	Prec@1 33.594 (34.197)	Prec@5 63.281 (64.505)
Epoch: [16][10010/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.6344 (2.7632)	Prec@1 37.500 (34.199)	Prec@5 63.281 (64.505)
Epoch: [16][10020/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 2.6500 (2.7632)	Prec@1 40.625 (34.199)	Prec@5 66.406 (64.504)
Epoch: [16][10030/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.9806 (2.7632)	Prec@1 29.688 (34.199)	Prec@5 62.500 (64.504)
Epoch: [16][10040/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.7155 (2.7632)	Prec@1 32.812 (34.200)	Prec@5 61.719 (64.504)
Epoch: [16][10050/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.6668 (2.7632)	Prec@1 32.031 (34.200)	Prec@5 67.188 (64.504)
Epoch: [16][10060/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.9376 (2.7632)	Prec@1 27.344 (34.199)	Prec@5 62.500 (64.504)
Epoch: [16][10070/14090]	Time 0.895 (0.765)	Data 0.001 (0.001)	Loss 2.7975 (2.7633)	Prec@1 33.594 (34.198)	Prec@5 66.406 (64.502)
Epoch: [16][10080/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.8313 (2.7633)	Prec@1 33.594 (34.197)	Prec@5 61.719 (64.503)
Epoch: [16][10090/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.9075 (2.7634)	Prec@1 32.812 (34.198)	Prec@5 62.500 (64.501)
Epoch: [16][10100/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.6795 (2.7634)	Prec@1 32.031 (34.198)	Prec@5 62.500 (64.502)
Epoch: [16][10110/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.9278 (2.7634)	Prec@1 31.250 (34.197)	Prec@5 58.594 (64.501)
Epoch: [16][10120/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.9089 (2.7635)	Prec@1 30.469 (34.196)	Prec@5 60.938 (64.501)
Epoch: [16][10130/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.8528 (2.7635)	Prec@1 32.031 (34.194)	Prec@5 64.062 (64.501)
Epoch: [16][10140/14090]	Time 0.844 (0.765)	Data 0.001 (0.001)	Loss 2.7563 (2.7635)	Prec@1 30.469 (34.193)	Prec@5 66.406 (64.502)
Epoch: [16][10150/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.4278 (2.7634)	Prec@1 40.625 (34.195)	Prec@5 71.094 (64.504)
Epoch: [16][10160/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.7122 (2.7634)	Prec@1 30.469 (34.195)	Prec@5 65.625 (64.507)
Epoch: [16][10170/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.7771 (2.7634)	Prec@1 36.719 (34.194)	Prec@5 61.719 (64.506)
Epoch: [16][10180/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.8472 (2.7634)	Prec@1 31.250 (34.196)	Prec@5 63.281 (64.505)
Epoch: [16][10190/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.5633 (2.7633)	Prec@1 35.156 (34.195)	Prec@5 68.750 (64.506)
Epoch: [16][10200/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.3791 (2.7633)	Prec@1 39.844 (34.195)	Prec@5 66.406 (64.507)
Epoch: [16][10210/14090]	Time 0.868 (0.765)	Data 0.001 (0.001)	Loss 2.7695 (2.7632)	Prec@1 28.906 (34.197)	Prec@5 65.625 (64.509)
Epoch: [16][10220/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.7940 (2.7633)	Prec@1 33.594 (34.197)	Prec@5 64.844 (64.508)
Epoch: [16][10230/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.9702 (2.7632)	Prec@1 31.250 (34.196)	Prec@5 60.156 (64.509)
Epoch: [16][10240/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.9266 (2.7632)	Prec@1 27.344 (34.196)	Prec@5 60.156 (64.510)
Epoch: [16][10250/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 2.7781 (2.7631)	Prec@1 35.938 (34.198)	Prec@5 63.281 (64.511)
Epoch: [16][10260/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.8228 (2.7631)	Prec@1 36.719 (34.199)	Prec@5 64.844 (64.512)
Epoch: [16][10270/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.6430 (2.7631)	Prec@1 39.062 (34.198)	Prec@5 67.969 (64.513)
Epoch: [16][10280/14090]	Time 0.878 (0.765)	Data 0.001 (0.001)	Loss 3.0454 (2.7631)	Prec@1 28.906 (34.198)	Prec@5 55.469 (64.514)
Epoch: [16][10290/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.4953 (2.7630)	Prec@1 40.625 (34.198)	Prec@5 69.531 (64.515)
Epoch: [16][10300/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.9665 (2.7631)	Prec@1 28.906 (34.197)	Prec@5 59.375 (64.515)
Epoch: [16][10310/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.8159 (2.7631)	Prec@1 26.562 (34.195)	Prec@5 57.812 (64.515)
Epoch: [16][10320/14090]	Time 0.768 (0.765)	Data 0.001 (0.001)	Loss 2.4808 (2.7630)	Prec@1 34.375 (34.195)	Prec@5 73.438 (64.516)
Epoch: [16][10330/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.5604 (2.7632)	Prec@1 38.281 (34.192)	Prec@5 70.312 (64.515)
Epoch: [16][10340/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.8344 (2.7632)	Prec@1 29.688 (34.191)	Prec@5 67.188 (64.516)
Epoch: [16][10350/14090]	Time 0.855 (0.765)	Data 0.001 (0.001)	Loss 2.6185 (2.7632)	Prec@1 39.844 (34.193)	Prec@5 68.750 (64.516)
Epoch: [16][10360/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.9326 (2.7633)	Prec@1 32.031 (34.192)	Prec@5 60.938 (64.514)
Epoch: [16][10370/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.7660 (2.7633)	Prec@1 34.375 (34.192)	Prec@5 64.062 (64.513)
Epoch: [16][10380/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.7980 (2.7634)	Prec@1 35.938 (34.191)	Prec@5 66.406 (64.513)
Epoch: [16][10390/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.6885 (2.7633)	Prec@1 35.938 (34.193)	Prec@5 64.844 (64.515)
Epoch: [16][10400/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.9630 (2.7633)	Prec@1 35.938 (34.194)	Prec@5 57.031 (64.516)
Epoch: [16][10410/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.4033 (2.7633)	Prec@1 37.500 (34.193)	Prec@5 72.656 (64.516)
Epoch: [16][10420/14090]	Time 0.847 (0.765)	Data 0.001 (0.001)	Loss 2.7369 (2.7633)	Prec@1 35.156 (34.190)	Prec@5 65.625 (64.516)
Epoch: [16][10430/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.7199 (2.7633)	Prec@1 32.031 (34.190)	Prec@5 69.531 (64.517)
Epoch: [16][10440/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.4255 (2.7633)	Prec@1 42.188 (34.193)	Prec@5 69.531 (64.517)
Epoch: [16][10450/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.6019 (2.7633)	Prec@1 37.500 (34.193)	Prec@5 68.750 (64.517)
Epoch: [16][10460/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.8802 (2.7633)	Prec@1 34.375 (34.192)	Prec@5 60.938 (64.517)
Epoch: [16][10470/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.6480 (2.7633)	Prec@1 33.594 (34.191)	Prec@5 66.406 (64.516)
Epoch: [16][10480/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.6171 (2.7633)	Prec@1 32.812 (34.192)	Prec@5 66.406 (64.517)
Epoch: [16][10490/14090]	Time 0.836 (0.765)	Data 0.001 (0.001)	Loss 2.7795 (2.7633)	Prec@1 37.500 (34.190)	Prec@5 64.844 (64.517)
Epoch: [16][10500/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.9227 (2.7633)	Prec@1 28.125 (34.190)	Prec@5 63.281 (64.518)
Epoch: [16][10510/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 3.0645 (2.7633)	Prec@1 30.469 (34.189)	Prec@5 63.281 (64.518)
Epoch: [16][10520/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.5851 (2.7634)	Prec@1 34.375 (34.188)	Prec@5 68.750 (64.519)
Epoch: [16][10530/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.5583 (2.7634)	Prec@1 39.844 (34.188)	Prec@5 70.312 (64.518)
Epoch: [16][10540/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.9578 (2.7634)	Prec@1 27.344 (34.188)	Prec@5 63.281 (64.518)
Epoch: [16][10550/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.7333 (2.7634)	Prec@1 35.938 (34.188)	Prec@5 64.062 (64.518)
Epoch: [16][10560/14090]	Time 0.851 (0.765)	Data 0.001 (0.001)	Loss 2.9434 (2.7634)	Prec@1 28.125 (34.188)	Prec@5 56.250 (64.519)
Epoch: [16][10570/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.8967 (2.7634)	Prec@1 34.375 (34.188)	Prec@5 65.625 (64.518)
Epoch: [16][10580/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.6587 (2.7634)	Prec@1 35.938 (34.189)	Prec@5 65.625 (64.518)
Epoch: [16][10590/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.8372 (2.7634)	Prec@1 26.562 (34.189)	Prec@5 67.188 (64.520)
Epoch: [16][10600/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.6331 (2.7634)	Prec@1 35.938 (34.188)	Prec@5 66.406 (64.520)
Epoch: [16][10610/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.6641 (2.7634)	Prec@1 34.375 (34.187)	Prec@5 64.062 (64.519)
Epoch: [16][10620/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.8688 (2.7634)	Prec@1 28.906 (34.188)	Prec@5 60.938 (64.517)
Epoch: [16][10630/14090]	Time 0.835 (0.765)	Data 0.001 (0.001)	Loss 2.6977 (2.7634)	Prec@1 30.469 (34.188)	Prec@5 69.531 (64.518)
Epoch: [16][10640/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 3.1727 (2.7635)	Prec@1 31.250 (34.187)	Prec@5 56.250 (64.516)
Epoch: [16][10650/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.7312 (2.7635)	Prec@1 28.906 (34.187)	Prec@5 62.500 (64.517)
Epoch: [16][10660/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.7086 (2.7635)	Prec@1 35.938 (34.186)	Prec@5 60.938 (64.518)
Epoch: [16][10670/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.8391 (2.7634)	Prec@1 27.344 (34.187)	Prec@5 58.594 (64.518)
Epoch: [16][10680/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.8492 (2.7634)	Prec@1 32.031 (34.187)	Prec@5 68.750 (64.518)
Epoch: [16][10690/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.7323 (2.7635)	Prec@1 40.625 (34.188)	Prec@5 61.719 (64.517)
Epoch: [16][10700/14090]	Time 0.849 (0.765)	Data 0.001 (0.001)	Loss 2.6976 (2.7635)	Prec@1 32.031 (34.187)	Prec@5 68.750 (64.515)
Epoch: [16][10710/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.6945 (2.7636)	Prec@1 35.156 (34.186)	Prec@5 66.406 (64.514)
Epoch: [16][10720/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.6761 (2.7636)	Prec@1 35.156 (34.184)	Prec@5 64.844 (64.511)
Epoch: [16][10730/14090]	Time 0.771 (0.765)	Data 0.001 (0.001)	Loss 2.9919 (2.7637)	Prec@1 28.906 (34.183)	Prec@5 52.344 (64.510)
Epoch: [16][10740/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 3.1616 (2.7636)	Prec@1 29.688 (34.183)	Prec@5 54.688 (64.510)
Epoch: [16][10750/14090]	Time 0.766 (0.765)	Data 0.001 (0.001)	Loss 2.6478 (2.7636)	Prec@1 31.250 (34.183)	Prec@5 70.312 (64.512)
Epoch: [16][10760/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.7480 (2.7636)	Prec@1 35.938 (34.182)	Prec@5 67.969 (64.512)
Epoch: [16][10770/14090]	Time 0.868 (0.765)	Data 0.001 (0.001)	Loss 2.5796 (2.7636)	Prec@1 37.500 (34.184)	Prec@5 65.625 (64.513)
Epoch: [16][10780/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 3.0622 (2.7635)	Prec@1 32.812 (34.186)	Prec@5 60.938 (64.514)
Epoch: [16][10790/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.6949 (2.7635)	Prec@1 35.938 (34.187)	Prec@5 61.719 (64.514)
Epoch: [16][10800/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.4737 (2.7634)	Prec@1 42.188 (34.190)	Prec@5 69.531 (64.517)
Epoch: [16][10810/14090]	Time 0.768 (0.765)	Data 0.001 (0.001)	Loss 2.9075 (2.7633)	Prec@1 33.594 (34.192)	Prec@5 60.156 (64.518)
Epoch: [16][10820/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.7408 (2.7633)	Prec@1 33.594 (34.193)	Prec@5 65.625 (64.518)
Epoch: [16][10830/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.7347 (2.7632)	Prec@1 34.375 (34.194)	Prec@5 66.406 (64.520)
Epoch: [16][10840/14090]	Time 0.888 (0.765)	Data 0.001 (0.001)	Loss 2.7791 (2.7632)	Prec@1 36.719 (34.195)	Prec@5 64.844 (64.521)
Epoch: [16][10850/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.7536 (2.7632)	Prec@1 38.281 (34.195)	Prec@5 64.062 (64.521)
Epoch: [16][10860/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.6297 (2.7632)	Prec@1 32.812 (34.195)	Prec@5 63.281 (64.521)
Epoch: [16][10870/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.8433 (2.7632)	Prec@1 35.938 (34.196)	Prec@5 64.844 (64.521)
Epoch: [16][10880/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.4041 (2.7632)	Prec@1 42.969 (34.196)	Prec@5 73.438 (64.522)
Epoch: [16][10890/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.9696 (2.7632)	Prec@1 33.594 (34.197)	Prec@5 59.375 (64.521)
Epoch: [16][10900/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.6715 (2.7633)	Prec@1 36.719 (34.197)	Prec@5 72.656 (64.521)
Epoch: [16][10910/14090]	Time 0.933 (0.765)	Data 0.001 (0.001)	Loss 2.9859 (2.7634)	Prec@1 26.562 (34.195)	Prec@5 62.500 (64.521)
Epoch: [16][10920/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.8266 (2.7634)	Prec@1 31.250 (34.193)	Prec@5 67.969 (64.521)
Epoch: [16][10930/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.8163 (2.7635)	Prec@1 34.375 (34.193)	Prec@5 64.844 (64.521)
Epoch: [16][10940/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.9531 (2.7635)	Prec@1 27.344 (34.191)	Prec@5 67.969 (64.520)
Epoch: [16][10950/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.9136 (2.7635)	Prec@1 34.375 (34.191)	Prec@5 61.719 (64.519)
Epoch: [16][10960/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.9344 (2.7636)	Prec@1 34.375 (34.190)	Prec@5 57.031 (64.518)
Epoch: [16][10970/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.6304 (2.7637)	Prec@1 35.156 (34.187)	Prec@5 60.156 (64.515)
Epoch: [16][10980/14090]	Time 0.864 (0.765)	Data 0.001 (0.001)	Loss 2.8803 (2.7636)	Prec@1 32.031 (34.190)	Prec@5 62.500 (64.517)
Epoch: [16][10990/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.8390 (2.7636)	Prec@1 33.594 (34.190)	Prec@5 63.281 (64.517)
Epoch: [16][11000/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.5714 (2.7636)	Prec@1 39.844 (34.192)	Prec@5 63.281 (64.517)
Epoch: [16][11010/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.6154 (2.7635)	Prec@1 32.812 (34.191)	Prec@5 69.531 (64.519)
Epoch: [16][11020/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.7418 (2.7636)	Prec@1 32.812 (34.190)	Prec@5 64.844 (64.517)
Epoch: [16][11030/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.4970 (2.7636)	Prec@1 41.406 (34.190)	Prec@5 70.312 (64.516)
Epoch: [16][11040/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.5246 (2.7635)	Prec@1 32.812 (34.191)	Prec@5 74.219 (64.516)
Epoch: [16][11050/14090]	Time 0.860 (0.765)	Data 0.001 (0.001)	Loss 2.7456 (2.7635)	Prec@1 31.250 (34.191)	Prec@5 64.844 (64.519)
Epoch: [16][11060/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.8791 (2.7635)	Prec@1 32.031 (34.192)	Prec@5 61.719 (64.517)
Epoch: [16][11070/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.6482 (2.7635)	Prec@1 38.281 (34.191)	Prec@5 67.969 (64.517)
Epoch: [16][11080/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.7643 (2.7635)	Prec@1 32.812 (34.191)	Prec@5 64.844 (64.518)
Epoch: [16][11090/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.5340 (2.7635)	Prec@1 40.625 (34.191)	Prec@5 72.656 (64.518)
Epoch: [16][11100/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.7918 (2.7634)	Prec@1 36.719 (34.192)	Prec@5 67.969 (64.520)
Epoch: [16][11110/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.8801 (2.7634)	Prec@1 32.031 (34.193)	Prec@5 62.500 (64.520)
Epoch: [16][11120/14090]	Time 0.861 (0.765)	Data 0.001 (0.001)	Loss 2.7015 (2.7635)	Prec@1 33.594 (34.192)	Prec@5 68.750 (64.520)
Epoch: [16][11130/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.5569 (2.7635)	Prec@1 37.500 (34.192)	Prec@5 67.969 (64.519)
Epoch: [16][11140/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.9250 (2.7635)	Prec@1 25.781 (34.189)	Prec@5 61.719 (64.521)
Epoch: [16][11150/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.8938 (2.7635)	Prec@1 30.469 (34.190)	Prec@5 64.844 (64.522)
Epoch: [16][11160/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 3.1161 (2.7635)	Prec@1 29.688 (34.191)	Prec@5 55.469 (64.522)
Epoch: [16][11170/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.5739 (2.7635)	Prec@1 37.500 (34.191)	Prec@5 67.969 (64.521)
Epoch: [16][11180/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.6236 (2.7634)	Prec@1 35.938 (34.193)	Prec@5 61.719 (64.521)
Epoch: [16][11190/14090]	Time 0.847 (0.765)	Data 0.001 (0.001)	Loss 2.7541 (2.7635)	Prec@1 35.938 (34.192)	Prec@5 69.531 (64.520)
Epoch: [16][11200/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.9450 (2.7635)	Prec@1 31.250 (34.191)	Prec@5 61.719 (64.519)
Epoch: [16][11210/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.6769 (2.7634)	Prec@1 32.031 (34.190)	Prec@5 64.062 (64.519)
Epoch: [16][11220/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.9154 (2.7635)	Prec@1 32.812 (34.189)	Prec@5 62.500 (64.516)
Epoch: [16][11230/14090]	Time 0.722 (0.765)	Data 0.001 (0.001)	Loss 2.9456 (2.7636)	Prec@1 34.375 (34.189)	Prec@5 61.719 (64.515)
Epoch: [16][11240/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.5610 (2.7634)	Prec@1 38.281 (34.191)	Prec@5 67.969 (64.518)
Epoch: [16][11250/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.4968 (2.7635)	Prec@1 38.281 (34.190)	Prec@5 70.312 (64.517)
Epoch: [16][11260/14090]	Time 0.844 (0.765)	Data 0.001 (0.001)	Loss 2.8287 (2.7635)	Prec@1 35.938 (34.190)	Prec@5 64.062 (64.517)
Epoch: [16][11270/14090]	Time 0.768 (0.765)	Data 0.001 (0.001)	Loss 2.8489 (2.7635)	Prec@1 33.594 (34.190)	Prec@5 61.719 (64.517)
Epoch: [16][11280/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.7135 (2.7635)	Prec@1 28.125 (34.189)	Prec@5 67.188 (64.518)
Epoch: [16][11290/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.7188 (2.7635)	Prec@1 31.250 (34.188)	Prec@5 64.844 (64.517)
Epoch: [16][11300/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.4557 (2.7635)	Prec@1 37.500 (34.189)	Prec@5 71.875 (64.517)
Epoch: [16][11310/14090]	Time 0.768 (0.765)	Data 0.001 (0.001)	Loss 2.8152 (2.7635)	Prec@1 32.812 (34.190)	Prec@5 60.938 (64.517)
Epoch: [16][11320/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.6628 (2.7635)	Prec@1 35.156 (34.189)	Prec@5 68.750 (64.516)
Epoch: [16][11330/14090]	Time 0.864 (0.765)	Data 0.001 (0.001)	Loss 2.8631 (2.7635)	Prec@1 32.812 (34.188)	Prec@5 63.281 (64.516)
Epoch: [16][11340/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.8849 (2.7636)	Prec@1 36.719 (34.188)	Prec@5 58.594 (64.514)
Epoch: [16][11350/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.6971 (2.7635)	Prec@1 34.375 (34.188)	Prec@5 67.969 (64.516)
Epoch: [16][11360/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.9936 (2.7636)	Prec@1 26.562 (34.188)	Prec@5 60.156 (64.515)
Epoch: [16][11370/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.8812 (2.7636)	Prec@1 30.469 (34.187)	Prec@5 64.062 (64.513)
Epoch: [16][11380/14090]	Time 0.767 (0.765)	Data 0.001 (0.001)	Loss 2.6638 (2.7637)	Prec@1 35.938 (34.187)	Prec@5 66.406 (64.512)
Epoch: [16][11390/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.9889 (2.7637)	Prec@1 32.031 (34.187)	Prec@5 61.719 (64.513)
Epoch: [16][11400/14090]	Time 0.834 (0.765)	Data 0.001 (0.001)	Loss 3.0731 (2.7637)	Prec@1 32.031 (34.187)	Prec@5 57.812 (64.513)
Epoch: [16][11410/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.7494 (2.7638)	Prec@1 32.031 (34.185)	Prec@5 64.844 (64.512)
Epoch: [16][11420/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 3.0504 (2.7637)	Prec@1 28.906 (34.188)	Prec@5 54.688 (64.513)
Epoch: [16][11430/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.5450 (2.7637)	Prec@1 37.500 (34.187)	Prec@5 70.312 (64.512)
Epoch: [16][11440/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.5693 (2.7637)	Prec@1 38.281 (34.189)	Prec@5 71.875 (64.514)
Epoch: [16][11450/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 3.0866 (2.7638)	Prec@1 32.812 (34.189)	Prec@5 59.375 (64.511)
Epoch: [16][11460/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.6676 (2.7638)	Prec@1 36.719 (34.188)	Prec@5 66.406 (64.510)
Epoch: [16][11470/14090]	Time 0.886 (0.765)	Data 0.001 (0.001)	Loss 2.5189 (2.7639)	Prec@1 40.625 (34.189)	Prec@5 66.406 (64.509)
Epoch: [16][11480/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.8140 (2.7639)	Prec@1 35.156 (34.187)	Prec@5 62.500 (64.508)
Epoch: [16][11490/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.7467 (2.7640)	Prec@1 35.156 (34.187)	Prec@5 65.625 (64.508)
Epoch: [16][11500/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.7482 (2.7640)	Prec@1 31.250 (34.186)	Prec@5 69.531 (64.509)
Epoch: [16][11510/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.7636 (2.7640)	Prec@1 35.156 (34.185)	Prec@5 68.750 (64.508)
Epoch: [16][11520/14090]	Time 0.767 (0.765)	Data 0.001 (0.001)	Loss 2.7550 (2.7640)	Prec@1 32.812 (34.186)	Prec@5 60.938 (64.509)
Epoch: [16][11530/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.7949 (2.7640)	Prec@1 33.594 (34.186)	Prec@5 64.062 (64.508)
Epoch: [16][11540/14090]	Time 0.873 (0.765)	Data 0.001 (0.001)	Loss 2.6617 (2.7641)	Prec@1 31.250 (34.184)	Prec@5 68.750 (64.505)
Epoch: [16][11550/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.8858 (2.7643)	Prec@1 35.938 (34.181)	Prec@5 60.938 (64.502)
Epoch: [16][11560/14090]	Time 0.772 (0.765)	Data 0.001 (0.001)	Loss 2.8342 (2.7644)	Prec@1 33.594 (34.178)	Prec@5 64.062 (64.500)
Epoch: [16][11570/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.6428 (2.7644)	Prec@1 38.281 (34.178)	Prec@5 63.281 (64.499)
Epoch: [16][11580/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.9698 (2.7644)	Prec@1 28.125 (34.175)	Prec@5 64.062 (64.499)
Epoch: [16][11590/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 3.0308 (2.7644)	Prec@1 28.125 (34.174)	Prec@5 60.156 (64.499)
Epoch: [16][11600/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.4834 (2.7644)	Prec@1 39.844 (34.176)	Prec@5 68.750 (64.500)
Epoch: [16][11610/14090]	Time 0.840 (0.765)	Data 0.001 (0.001)	Loss 2.8058 (2.7643)	Prec@1 35.938 (34.178)	Prec@5 64.062 (64.502)
Epoch: [16][11620/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.5807 (2.7643)	Prec@1 35.938 (34.180)	Prec@5 69.531 (64.501)
Epoch: [16][11630/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.9203 (2.7643)	Prec@1 29.688 (34.179)	Prec@5 60.156 (64.500)
Epoch: [16][11640/14090]	Time 0.780 (0.765)	Data 0.001 (0.001)	Loss 2.7170 (2.7642)	Prec@1 36.719 (34.181)	Prec@5 64.844 (64.500)
Epoch: [16][11650/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 3.0380 (2.7643)	Prec@1 38.281 (34.181)	Prec@5 57.031 (64.499)
Epoch: [16][11660/14090]	Time 0.773 (0.765)	Data 0.001 (0.001)	Loss 2.7369 (2.7642)	Prec@1 32.812 (34.182)	Prec@5 71.094 (64.501)
Epoch: [16][11670/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.7800 (2.7642)	Prec@1 37.500 (34.181)	Prec@5 61.719 (64.501)
Epoch: [16][11680/14090]	Time 0.876 (0.765)	Data 0.001 (0.001)	Loss 2.6255 (2.7642)	Prec@1 36.719 (34.182)	Prec@5 67.969 (64.502)
Epoch: [16][11690/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 3.1097 (2.7642)	Prec@1 25.000 (34.181)	Prec@5 53.125 (64.502)
Epoch: [16][11700/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.6454 (2.7642)	Prec@1 39.844 (34.182)	Prec@5 70.312 (64.501)
Epoch: [16][11710/14090]	Time 0.769 (0.765)	Data 0.001 (0.001)	Loss 2.5879 (2.7641)	Prec@1 35.938 (34.184)	Prec@5 67.969 (64.504)
Epoch: [16][11720/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.8045 (2.7641)	Prec@1 30.469 (34.184)	Prec@5 63.281 (64.502)
Epoch: [16][11730/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.6766 (2.7641)	Prec@1 35.938 (34.183)	Prec@5 62.500 (64.503)
Epoch: [16][11740/14090]	Time 0.769 (0.765)	Data 0.001 (0.001)	Loss 2.6517 (2.7641)	Prec@1 32.812 (34.182)	Prec@5 67.969 (64.503)
Epoch: [16][11750/14090]	Time 0.959 (0.765)	Data 0.001 (0.001)	Loss 2.6212 (2.7641)	Prec@1 41.406 (34.183)	Prec@5 66.406 (64.502)
Epoch: [16][11760/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.8262 (2.7641)	Prec@1 40.625 (34.185)	Prec@5 67.188 (64.503)
Epoch: [16][11770/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.8345 (2.7640)	Prec@1 33.594 (34.185)	Prec@5 56.250 (64.502)
Epoch: [16][11780/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.6207 (2.7640)	Prec@1 35.156 (34.185)	Prec@5 71.094 (64.503)
Epoch: [16][11790/14090]	Time 0.785 (0.765)	Data 0.001 (0.001)	Loss 2.7290 (2.7640)	Prec@1 34.375 (34.187)	Prec@5 63.281 (64.503)
Epoch: [16][11800/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.5880 (2.7640)	Prec@1 32.812 (34.186)	Prec@5 65.625 (64.501)
Epoch: [16][11810/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.5088 (2.7639)	Prec@1 36.719 (34.186)	Prec@5 67.188 (64.503)
Epoch: [16][11820/14090]	Time 0.843 (0.765)	Data 0.001 (0.001)	Loss 2.9182 (2.7639)	Prec@1 28.125 (34.185)	Prec@5 56.250 (64.502)
Epoch: [16][11830/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.4675 (2.7638)	Prec@1 33.594 (34.186)	Prec@5 67.969 (64.502)
Epoch: [16][11840/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.7807 (2.7639)	Prec@1 32.812 (34.186)	Prec@5 63.281 (64.501)
Epoch: [16][11850/14090]	Time 0.768 (0.765)	Data 0.001 (0.001)	Loss 2.7062 (2.7638)	Prec@1 32.031 (34.187)	Prec@5 67.188 (64.503)
Epoch: [16][11860/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.7050 (2.7638)	Prec@1 29.688 (34.187)	Prec@5 67.188 (64.503)
Epoch: [16][11870/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.7616 (2.7639)	Prec@1 35.938 (34.187)	Prec@5 67.969 (64.504)
Epoch: [16][11880/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.6472 (2.7638)	Prec@1 30.469 (34.187)	Prec@5 62.500 (64.503)
Epoch: [16][11890/14090]	Time 0.879 (0.765)	Data 0.001 (0.001)	Loss 3.0387 (2.7638)	Prec@1 31.250 (34.189)	Prec@5 57.812 (64.503)
Epoch: [16][11900/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.8647 (2.7638)	Prec@1 32.812 (34.189)	Prec@5 63.281 (64.504)
Epoch: [16][11910/14090]	Time 0.777 (0.765)	Data 0.001 (0.001)	Loss 2.9067 (2.7638)	Prec@1 28.125 (34.190)	Prec@5 66.406 (64.505)
Epoch: [16][11920/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 3.0461 (2.7638)	Prec@1 21.875 (34.188)	Prec@5 60.938 (64.505)
Epoch: [16][11930/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.8230 (2.7638)	Prec@1 33.594 (34.189)	Prec@5 61.719 (64.504)
Epoch: [16][11940/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.7834 (2.7639)	Prec@1 34.375 (34.189)	Prec@5 64.844 (64.505)
Epoch: [16][11950/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.8563 (2.7639)	Prec@1 31.250 (34.188)	Prec@5 64.062 (64.504)
Epoch: [16][11960/14090]	Time 0.864 (0.765)	Data 0.001 (0.001)	Loss 2.6501 (2.7639)	Prec@1 35.938 (34.189)	Prec@5 70.312 (64.504)
Epoch: [16][11970/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.7981 (2.7639)	Prec@1 32.812 (34.188)	Prec@5 67.188 (64.502)
Epoch: [16][11980/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.7889 (2.7639)	Prec@1 31.250 (34.187)	Prec@5 63.281 (64.503)
Epoch: [16][11990/14090]	Time 0.782 (0.765)	Data 0.001 (0.001)	Loss 2.6254 (2.7638)	Prec@1 38.281 (34.188)	Prec@5 66.406 (64.504)
Epoch: [16][12000/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.8037 (2.7638)	Prec@1 32.812 (34.189)	Prec@5 65.625 (64.506)
Epoch: [16][12010/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.5119 (2.7638)	Prec@1 34.375 (34.188)	Prec@5 67.969 (64.506)
Epoch: [16][12020/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.7293 (2.7638)	Prec@1 37.500 (34.188)	Prec@5 59.375 (64.504)
Epoch: [16][12030/14090]	Time 0.907 (0.765)	Data 0.003 (0.001)	Loss 2.9499 (2.7638)	Prec@1 28.906 (34.188)	Prec@5 61.719 (64.506)
Epoch: [16][12040/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.8895 (2.7638)	Prec@1 37.500 (34.188)	Prec@5 60.156 (64.505)
Epoch: [16][12050/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.9390 (2.7638)	Prec@1 25.000 (34.186)	Prec@5 58.594 (64.504)
Epoch: [16][12060/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.4886 (2.7638)	Prec@1 39.062 (34.186)	Prec@5 70.312 (64.506)
Epoch: [16][12070/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.7090 (2.7638)	Prec@1 31.250 (34.187)	Prec@5 71.875 (64.506)
Epoch: [16][12080/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.8343 (2.7638)	Prec@1 32.031 (34.185)	Prec@5 64.844 (64.506)
Epoch: [16][12090/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.8187 (2.7638)	Prec@1 37.500 (34.185)	Prec@5 63.281 (64.507)
Epoch: [16][12100/14090]	Time 0.861 (0.765)	Data 0.001 (0.001)	Loss 2.8293 (2.7638)	Prec@1 32.812 (34.185)	Prec@5 62.500 (64.507)
Epoch: [16][12110/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.8820 (2.7637)	Prec@1 34.375 (34.186)	Prec@5 60.938 (64.510)
Epoch: [16][12120/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.5725 (2.7637)	Prec@1 35.938 (34.187)	Prec@5 68.750 (64.511)
Epoch: [16][12130/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.6276 (2.7637)	Prec@1 33.594 (34.186)	Prec@5 68.750 (64.511)
Epoch: [16][12140/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 2.6734 (2.7637)	Prec@1 34.375 (34.187)	Prec@5 61.719 (64.512)
Epoch: [16][12150/14090]	Time 0.769 (0.765)	Data 0.001 (0.001)	Loss 2.8110 (2.7637)	Prec@1 32.031 (34.185)	Prec@5 57.812 (64.512)
Epoch: [16][12160/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.5342 (2.7637)	Prec@1 37.500 (34.185)	Prec@5 61.719 (64.512)
Epoch: [16][12170/14090]	Time 0.841 (0.765)	Data 0.001 (0.001)	Loss 2.9669 (2.7637)	Prec@1 26.562 (34.185)	Prec@5 60.156 (64.512)
Epoch: [16][12180/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.6873 (2.7637)	Prec@1 34.375 (34.185)	Prec@5 66.406 (64.512)
Epoch: [16][12190/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.6046 (2.7637)	Prec@1 35.938 (34.186)	Prec@5 67.969 (64.513)
Epoch: [16][12200/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.8186 (2.7637)	Prec@1 32.031 (34.185)	Prec@5 65.625 (64.513)
Epoch: [16][12210/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.9959 (2.7637)	Prec@1 28.125 (34.186)	Prec@5 57.812 (64.512)
Epoch: [16][12220/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.6067 (2.7637)	Prec@1 33.594 (34.184)	Prec@5 71.875 (64.513)
Epoch: [16][12230/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.7599 (2.7637)	Prec@1 34.375 (34.185)	Prec@5 67.969 (64.513)
Epoch: [16][12240/14090]	Time 0.848 (0.765)	Data 0.001 (0.001)	Loss 2.5380 (2.7637)	Prec@1 40.625 (34.184)	Prec@5 74.219 (64.513)
Epoch: [16][12250/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.8573 (2.7637)	Prec@1 29.688 (34.185)	Prec@5 61.719 (64.515)
Epoch: [16][12260/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.7768 (2.7636)	Prec@1 33.594 (34.187)	Prec@5 62.500 (64.516)
Epoch: [16][12270/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.4152 (2.7636)	Prec@1 34.375 (34.188)	Prec@5 75.000 (64.519)
Epoch: [16][12280/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.9592 (2.7636)	Prec@1 27.344 (34.187)	Prec@5 60.938 (64.518)
Epoch: [16][12290/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.7668 (2.7637)	Prec@1 35.938 (34.186)	Prec@5 67.188 (64.517)
Epoch: [16][12300/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.8264 (2.7637)	Prec@1 27.344 (34.185)	Prec@5 61.719 (64.516)
Epoch: [16][12310/14090]	Time 0.852 (0.765)	Data 0.001 (0.001)	Loss 2.8063 (2.7637)	Prec@1 31.250 (34.185)	Prec@5 61.719 (64.516)
Epoch: [16][12320/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.7243 (2.7638)	Prec@1 33.594 (34.185)	Prec@5 65.625 (64.514)
Epoch: [16][12330/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.7637 (2.7638)	Prec@1 35.156 (34.183)	Prec@5 64.844 (64.513)
Epoch: [16][12340/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.7697 (2.7638)	Prec@1 33.594 (34.182)	Prec@5 66.406 (64.515)
Epoch: [16][12350/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.6974 (2.7638)	Prec@1 33.594 (34.181)	Prec@5 64.844 (64.515)
Epoch: [16][12360/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.4918 (2.7637)	Prec@1 34.375 (34.181)	Prec@5 68.750 (64.517)
Epoch: [16][12370/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.9786 (2.7638)	Prec@1 35.156 (34.180)	Prec@5 61.719 (64.516)
Epoch: [16][12380/14090]	Time 0.865 (0.765)	Data 0.001 (0.001)	Loss 2.8369 (2.7638)	Prec@1 27.344 (34.179)	Prec@5 64.062 (64.515)
Epoch: [16][12390/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.8646 (2.7638)	Prec@1 26.562 (34.179)	Prec@5 60.156 (64.514)
Epoch: [16][12400/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.8686 (2.7638)	Prec@1 32.812 (34.179)	Prec@5 57.812 (64.514)
Epoch: [16][12410/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.8018 (2.7638)	Prec@1 31.250 (34.179)	Prec@5 64.062 (64.515)
Epoch: [16][12420/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.8997 (2.7638)	Prec@1 29.688 (34.178)	Prec@5 60.938 (64.515)
Epoch: [16][12430/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.7449 (2.7640)	Prec@1 30.469 (34.176)	Prec@5 62.500 (64.512)
Epoch: [16][12440/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.8852 (2.7640)	Prec@1 28.906 (34.176)	Prec@5 60.938 (64.512)
Epoch: [16][12450/14090]	Time 0.865 (0.765)	Data 0.001 (0.001)	Loss 2.5255 (2.7640)	Prec@1 41.406 (34.177)	Prec@5 72.656 (64.511)
Epoch: [16][12460/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.4700 (2.7639)	Prec@1 35.938 (34.179)	Prec@5 71.875 (64.512)
Epoch: [16][12470/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.7456 (2.7640)	Prec@1 32.812 (34.178)	Prec@5 67.188 (64.511)
Epoch: [16][12480/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.6873 (2.7639)	Prec@1 38.281 (34.180)	Prec@5 63.281 (64.512)
Epoch: [16][12490/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.4205 (2.7639)	Prec@1 43.750 (34.181)	Prec@5 71.094 (64.513)
Epoch: [16][12500/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.7658 (2.7639)	Prec@1 38.281 (34.182)	Prec@5 67.969 (64.513)
Epoch: [16][12510/14090]	Time 0.768 (0.765)	Data 0.001 (0.001)	Loss 2.8076 (2.7639)	Prec@1 32.812 (34.182)	Prec@5 60.156 (64.513)
Epoch: [16][12520/14090]	Time 0.836 (0.765)	Data 0.001 (0.001)	Loss 2.5515 (2.7639)	Prec@1 45.312 (34.182)	Prec@5 71.094 (64.512)
Epoch: [16][12530/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.7788 (2.7639)	Prec@1 32.812 (34.182)	Prec@5 61.719 (64.512)
Epoch: [16][12540/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.9715 (2.7639)	Prec@1 29.688 (34.182)	Prec@5 59.375 (64.511)
Epoch: [16][12550/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.9655 (2.7639)	Prec@1 30.469 (34.183)	Prec@5 64.062 (64.512)
Epoch: [16][12560/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.6599 (2.7639)	Prec@1 36.719 (34.182)	Prec@5 70.312 (64.510)
Epoch: [16][12570/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.7436 (2.7639)	Prec@1 32.031 (34.184)	Prec@5 64.844 (64.511)
Epoch: [16][12580/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.4875 (2.7638)	Prec@1 40.625 (34.186)	Prec@5 75.000 (64.514)
Epoch: [16][12590/14090]	Time 0.858 (0.765)	Data 0.001 (0.001)	Loss 2.6565 (2.7638)	Prec@1 36.719 (34.188)	Prec@5 62.500 (64.515)
Epoch: [16][12600/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.9004 (2.7637)	Prec@1 28.906 (34.189)	Prec@5 62.500 (64.514)
Epoch: [16][12610/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 3.1759 (2.7638)	Prec@1 28.125 (34.188)	Prec@5 53.125 (64.513)
Epoch: [16][12620/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.9622 (2.7639)	Prec@1 30.469 (34.186)	Prec@5 64.062 (64.510)
Epoch: [16][12630/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.8310 (2.7640)	Prec@1 28.906 (34.186)	Prec@5 61.719 (64.509)
Epoch: [16][12640/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.8604 (2.7640)	Prec@1 29.688 (34.185)	Prec@5 63.281 (64.506)
Epoch: [16][12650/14090]	Time 0.773 (0.765)	Data 0.001 (0.001)	Loss 3.0066 (2.7640)	Prec@1 30.469 (34.184)	Prec@5 62.500 (64.506)
Epoch: [16][12660/14090]	Time 0.831 (0.765)	Data 0.001 (0.001)	Loss 2.8029 (2.7640)	Prec@1 31.250 (34.182)	Prec@5 60.156 (64.504)
Epoch: [16][12670/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.6186 (2.7640)	Prec@1 37.500 (34.183)	Prec@5 60.156 (64.505)
Epoch: [16][12680/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.8906 (2.7641)	Prec@1 27.344 (34.181)	Prec@5 67.969 (64.504)
Epoch: [16][12690/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.8015 (2.7641)	Prec@1 28.125 (34.180)	Prec@5 62.500 (64.503)
Epoch: [16][12700/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.9984 (2.7641)	Prec@1 29.688 (34.180)	Prec@5 61.719 (64.502)
Epoch: [16][12710/14090]	Time 0.774 (0.765)	Data 0.001 (0.001)	Loss 3.0235 (2.7642)	Prec@1 29.688 (34.178)	Prec@5 57.812 (64.501)
Epoch: [16][12720/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.9926 (2.7642)	Prec@1 32.031 (34.179)	Prec@5 57.812 (64.499)
Epoch: [16][12730/14090]	Time 0.864 (0.765)	Data 0.001 (0.001)	Loss 2.5348 (2.7642)	Prec@1 35.938 (34.180)	Prec@5 71.875 (64.499)
Epoch: [16][12740/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.6421 (2.7642)	Prec@1 29.688 (34.179)	Prec@5 67.188 (64.500)
Epoch: [16][12750/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.8373 (2.7642)	Prec@1 31.250 (34.179)	Prec@5 64.062 (64.500)
Epoch: [16][12760/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.7656 (2.7641)	Prec@1 39.062 (34.180)	Prec@5 60.156 (64.500)
Epoch: [16][12770/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.8460 (2.7642)	Prec@1 35.156 (34.180)	Prec@5 61.719 (64.500)
Epoch: [16][12780/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.6619 (2.7641)	Prec@1 35.156 (34.181)	Prec@5 62.500 (64.501)
Epoch: [16][12790/14090]	Time 0.770 (0.765)	Data 0.001 (0.001)	Loss 2.6559 (2.7642)	Prec@1 38.281 (34.180)	Prec@5 65.625 (64.499)
Epoch: [16][12800/14090]	Time 0.845 (0.765)	Data 0.001 (0.001)	Loss 2.7670 (2.7642)	Prec@1 38.281 (34.179)	Prec@5 61.719 (64.499)
Epoch: [16][12810/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.3581 (2.7641)	Prec@1 43.750 (34.182)	Prec@5 73.438 (64.501)
Epoch: [16][12820/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.8347 (2.7641)	Prec@1 28.125 (34.182)	Prec@5 60.938 (64.502)
Epoch: [16][12830/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.5871 (2.7640)	Prec@1 39.062 (34.182)	Prec@5 71.875 (64.503)
Epoch: [16][12840/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.9485 (2.7640)	Prec@1 30.469 (34.183)	Prec@5 59.375 (64.504)
Epoch: [16][12850/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.6263 (2.7640)	Prec@1 36.719 (34.183)	Prec@5 67.188 (64.503)
Epoch: [16][12860/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 3.2025 (2.7641)	Prec@1 30.469 (34.184)	Prec@5 52.344 (64.500)
Epoch: [16][12870/14090]	Time 0.836 (0.765)	Data 0.001 (0.001)	Loss 2.9173 (2.7641)	Prec@1 28.906 (34.184)	Prec@5 64.062 (64.501)
Epoch: [16][12880/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.8217 (2.7641)	Prec@1 32.812 (34.184)	Prec@5 63.281 (64.500)
Epoch: [16][12890/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.5389 (2.7641)	Prec@1 40.625 (34.186)	Prec@5 69.531 (64.500)
Epoch: [16][12900/14090]	Time 0.784 (0.765)	Data 0.001 (0.001)	Loss 2.7162 (2.7641)	Prec@1 37.500 (34.185)	Prec@5 66.406 (64.500)
Epoch: [16][12910/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.8513 (2.7641)	Prec@1 34.375 (34.186)	Prec@5 64.844 (64.502)
Epoch: [16][12920/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.8987 (2.7641)	Prec@1 34.375 (34.186)	Prec@5 61.719 (64.502)
Epoch: [16][12930/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 2.8488 (2.7641)	Prec@1 32.812 (34.185)	Prec@5 61.719 (64.502)
Epoch: [16][12940/14090]	Time 0.860 (0.765)	Data 0.001 (0.001)	Loss 3.0231 (2.7642)	Prec@1 31.250 (34.183)	Prec@5 61.719 (64.500)
Epoch: [16][12950/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.8103 (2.7642)	Prec@1 33.594 (34.183)	Prec@5 60.156 (64.499)
Epoch: [16][12960/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.6047 (2.7642)	Prec@1 34.375 (34.182)	Prec@5 70.312 (64.499)
Epoch: [16][12970/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 3.0474 (2.7642)	Prec@1 33.594 (34.183)	Prec@5 58.594 (64.498)
Epoch: [16][12980/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 3.0114 (2.7642)	Prec@1 28.906 (34.182)	Prec@5 60.156 (64.497)
Epoch: [16][12990/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.9558 (2.7642)	Prec@1 32.031 (34.183)	Prec@5 61.719 (64.498)
Epoch: [16][13000/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.8862 (2.7642)	Prec@1 32.031 (34.182)	Prec@5 64.062 (64.499)
Epoch: [16][13010/14090]	Time 0.849 (0.765)	Data 0.001 (0.001)	Loss 2.8337 (2.7643)	Prec@1 29.688 (34.182)	Prec@5 67.969 (64.497)
Epoch: [16][13020/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.8955 (2.7643)	Prec@1 25.781 (34.181)	Prec@5 62.500 (64.496)
Epoch: [16][13030/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.5851 (2.7644)	Prec@1 33.594 (34.180)	Prec@5 70.312 (64.495)
Epoch: [16][13040/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.9872 (2.7644)	Prec@1 29.688 (34.180)	Prec@5 60.156 (64.494)
Epoch: [16][13050/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.6839 (2.7644)	Prec@1 39.062 (34.181)	Prec@5 60.156 (64.494)
Epoch: [16][13060/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.8522 (2.7644)	Prec@1 33.594 (34.180)	Prec@5 60.156 (64.493)
Epoch: [16][13070/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.7840 (2.7644)	Prec@1 30.469 (34.180)	Prec@5 67.188 (64.495)
Epoch: [16][13080/14090]	Time 0.826 (0.765)	Data 0.001 (0.001)	Loss 2.6502 (2.7644)	Prec@1 35.156 (34.180)	Prec@5 67.969 (64.495)
Epoch: [16][13090/14090]	Time 0.764 (0.765)	Data 0.002 (0.001)	Loss 2.7152 (2.7643)	Prec@1 39.062 (34.180)	Prec@5 63.281 (64.496)
Epoch: [16][13100/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.7884 (2.7643)	Prec@1 35.938 (34.181)	Prec@5 57.031 (64.496)
Epoch: [16][13110/14090]	Time 0.782 (0.765)	Data 0.001 (0.001)	Loss 2.8487 (2.7643)	Prec@1 30.469 (34.181)	Prec@5 64.062 (64.496)
Epoch: [16][13120/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.9781 (2.7644)	Prec@1 31.250 (34.179)	Prec@5 56.250 (64.495)
Epoch: [16][13130/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.5093 (2.7644)	Prec@1 37.500 (34.178)	Prec@5 68.750 (64.496)
Epoch: [16][13140/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.7168 (2.7644)	Prec@1 33.594 (34.178)	Prec@5 62.500 (64.495)
Epoch: [16][13150/14090]	Time 0.888 (0.765)	Data 0.001 (0.001)	Loss 2.9595 (2.7644)	Prec@1 31.250 (34.178)	Prec@5 60.156 (64.495)
Epoch: [16][13160/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.4663 (2.7644)	Prec@1 39.844 (34.179)	Prec@5 68.750 (64.494)
Epoch: [16][13170/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.9182 (2.7644)	Prec@1 23.438 (34.180)	Prec@5 60.156 (64.494)
Epoch: [16][13180/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 3.0582 (2.7643)	Prec@1 29.688 (34.181)	Prec@5 57.812 (64.496)
Epoch: [16][13190/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.9220 (2.7643)	Prec@1 29.688 (34.179)	Prec@5 61.719 (64.494)
Epoch: [16][13200/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.6846 (2.7643)	Prec@1 26.562 (34.180)	Prec@5 67.969 (64.495)
Epoch: [16][13210/14090]	Time 0.767 (0.765)	Data 0.001 (0.001)	Loss 2.7614 (2.7643)	Prec@1 37.500 (34.180)	Prec@5 66.406 (64.494)
Epoch: [16][13220/14090]	Time 0.872 (0.765)	Data 0.001 (0.001)	Loss 2.7880 (2.7643)	Prec@1 38.281 (34.180)	Prec@5 67.969 (64.494)
Epoch: [16][13230/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.9655 (2.7642)	Prec@1 25.781 (34.181)	Prec@5 60.938 (64.495)
Epoch: [16][13240/14090]	Time 0.775 (0.765)	Data 0.001 (0.001)	Loss 2.5622 (2.7643)	Prec@1 39.062 (34.180)	Prec@5 67.969 (64.493)
Epoch: [16][13250/14090]	Time 0.781 (0.765)	Data 0.001 (0.001)	Loss 2.5430 (2.7643)	Prec@1 40.625 (34.178)	Prec@5 68.750 (64.493)
Epoch: [16][13260/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.7431 (2.7643)	Prec@1 32.812 (34.179)	Prec@5 64.844 (64.493)
Epoch: [16][13270/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 3.0133 (2.7642)	Prec@1 31.250 (34.179)	Prec@5 62.500 (64.494)
Epoch: [16][13280/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.7749 (2.7642)	Prec@1 31.250 (34.179)	Prec@5 59.375 (64.494)
Epoch: [16][13290/14090]	Time 0.832 (0.765)	Data 0.001 (0.001)	Loss 2.6735 (2.7642)	Prec@1 34.375 (34.180)	Prec@5 66.406 (64.493)
Epoch: [16][13300/14090]	Time 0.767 (0.765)	Data 0.001 (0.001)	Loss 2.7349 (2.7642)	Prec@1 34.375 (34.179)	Prec@5 64.844 (64.493)
Epoch: [16][13310/14090]	Time 0.795 (0.765)	Data 0.001 (0.001)	Loss 2.7540 (2.7642)	Prec@1 35.938 (34.179)	Prec@5 65.625 (64.492)
Epoch: [16][13320/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.7373 (2.7642)	Prec@1 34.375 (34.179)	Prec@5 64.844 (64.492)
Epoch: [16][13330/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.6913 (2.7643)	Prec@1 35.938 (34.178)	Prec@5 65.625 (64.490)
Epoch: [16][13340/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.7505 (2.7642)	Prec@1 32.812 (34.178)	Prec@5 69.531 (64.489)
Epoch: [16][13350/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.6521 (2.7642)	Prec@1 39.062 (34.178)	Prec@5 64.844 (64.491)
Epoch: [16][13360/14090]	Time 0.852 (0.765)	Data 0.001 (0.001)	Loss 2.8481 (2.7642)	Prec@1 33.594 (34.177)	Prec@5 61.719 (64.491)
Epoch: [16][13370/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.9372 (2.7643)	Prec@1 31.250 (34.176)	Prec@5 60.938 (64.489)
Epoch: [16][13380/14090]	Time 0.775 (0.765)	Data 0.001 (0.001)	Loss 2.5972 (2.7643)	Prec@1 41.406 (34.177)	Prec@5 69.531 (64.489)
Epoch: [16][13390/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 3.0711 (2.7643)	Prec@1 27.344 (34.177)	Prec@5 58.594 (64.489)
Epoch: [16][13400/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.7713 (2.7642)	Prec@1 36.719 (34.179)	Prec@5 66.406 (64.492)
Epoch: [16][13410/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.8763 (2.7642)	Prec@1 32.031 (34.179)	Prec@5 64.062 (64.491)
Epoch: [16][13420/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.9388 (2.7642)	Prec@1 27.344 (34.179)	Prec@5 61.719 (64.491)
Epoch: [16][13430/14090]	Time 0.876 (0.765)	Data 0.001 (0.001)	Loss 2.4668 (2.7642)	Prec@1 40.625 (34.180)	Prec@5 74.219 (64.492)
Epoch: [16][13440/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.9815 (2.7642)	Prec@1 29.688 (34.179)	Prec@5 58.594 (64.490)
Epoch: [16][13450/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.7464 (2.7642)	Prec@1 35.938 (34.179)	Prec@5 65.625 (64.491)
Epoch: [16][13460/14090]	Time 0.776 (0.765)	Data 0.001 (0.001)	Loss 2.6699 (2.7643)	Prec@1 44.531 (34.178)	Prec@5 67.188 (64.489)
Epoch: [16][13470/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.5841 (2.7643)	Prec@1 36.719 (34.177)	Prec@5 64.062 (64.488)
Epoch: [16][13480/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 2.7711 (2.7644)	Prec@1 35.938 (34.176)	Prec@5 67.969 (64.486)
Epoch: [16][13490/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 3.2593 (2.7643)	Prec@1 23.438 (34.176)	Prec@5 53.125 (64.488)
Epoch: [16][13500/14090]	Time 0.862 (0.765)	Data 0.001 (0.001)	Loss 2.8200 (2.7643)	Prec@1 30.469 (34.176)	Prec@5 63.281 (64.488)
Epoch: [16][13510/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.5981 (2.7643)	Prec@1 39.062 (34.174)	Prec@5 67.188 (64.488)
Epoch: [16][13520/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.7436 (2.7643)	Prec@1 32.812 (34.175)	Prec@5 64.062 (64.490)
Epoch: [16][13530/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.8908 (2.7643)	Prec@1 26.562 (34.172)	Prec@5 64.062 (64.490)
Epoch: [16][13540/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.4644 (2.7643)	Prec@1 42.969 (34.173)	Prec@5 69.531 (64.489)
Epoch: [16][13550/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.7212 (2.7643)	Prec@1 34.375 (34.171)	Prec@5 64.062 (64.488)
Epoch: [16][13560/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.7939 (2.7643)	Prec@1 32.812 (34.172)	Prec@5 64.844 (64.489)
Epoch: [16][13570/14090]	Time 0.858 (0.765)	Data 0.001 (0.001)	Loss 2.9630 (2.7643)	Prec@1 39.062 (34.172)	Prec@5 57.812 (64.489)
Epoch: [16][13580/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.6881 (2.7643)	Prec@1 32.812 (34.172)	Prec@5 65.625 (64.488)
Epoch: [16][13590/14090]	Time 0.775 (0.765)	Data 0.001 (0.001)	Loss 2.5528 (2.7643)	Prec@1 38.281 (34.173)	Prec@5 71.094 (64.489)
Epoch: [16][13600/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.5259 (2.7643)	Prec@1 44.531 (34.172)	Prec@5 68.750 (64.488)
Epoch: [16][13610/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.6818 (2.7642)	Prec@1 32.812 (34.173)	Prec@5 64.844 (64.489)
Epoch: [16][13620/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 3.0157 (2.7643)	Prec@1 26.562 (34.171)	Prec@5 56.250 (64.487)
Epoch: [16][13630/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.8756 (2.7644)	Prec@1 35.938 (34.171)	Prec@5 64.844 (64.487)
Epoch: [16][13640/14090]	Time 0.881 (0.765)	Data 0.001 (0.001)	Loss 2.8773 (2.7643)	Prec@1 34.375 (34.172)	Prec@5 60.938 (64.487)
Epoch: [16][13650/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.5894 (2.7643)	Prec@1 38.281 (34.174)	Prec@5 70.312 (64.488)
Epoch: [16][13660/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.5917 (2.7642)	Prec@1 34.375 (34.175)	Prec@5 68.750 (64.487)
Epoch: [16][13670/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.8153 (2.7642)	Prec@1 35.156 (34.176)	Prec@5 60.156 (64.487)
Epoch: [16][13680/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.5639 (2.7642)	Prec@1 32.812 (34.176)	Prec@5 67.969 (64.486)
Epoch: [16][13690/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.8870 (2.7643)	Prec@1 32.031 (34.176)	Prec@5 59.375 (64.485)
Epoch: [16][13700/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.8138 (2.7642)	Prec@1 35.156 (34.178)	Prec@5 60.938 (64.486)
Epoch: [16][13710/14090]	Time 0.913 (0.765)	Data 0.001 (0.001)	Loss 3.1431 (2.7643)	Prec@1 30.469 (34.177)	Prec@5 52.344 (64.484)
Epoch: [16][13720/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.8134 (2.7643)	Prec@1 29.688 (34.176)	Prec@5 59.375 (64.484)
Epoch: [16][13730/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.7697 (2.7644)	Prec@1 36.719 (34.176)	Prec@5 61.719 (64.482)
Epoch: [16][13740/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.9931 (2.7644)	Prec@1 27.344 (34.175)	Prec@5 61.719 (64.482)
Epoch: [16][13750/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.8982 (2.7644)	Prec@1 32.031 (34.173)	Prec@5 58.594 (64.480)
Epoch: [16][13760/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.7247 (2.7645)	Prec@1 28.906 (34.173)	Prec@5 67.188 (64.479)
Epoch: [16][13770/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.4732 (2.7645)	Prec@1 36.719 (34.172)	Prec@5 71.875 (64.477)
Epoch: [16][13780/14090]	Time 0.845 (0.765)	Data 0.001 (0.001)	Loss 2.5712 (2.7644)	Prec@1 39.062 (34.173)	Prec@5 69.531 (64.479)
Epoch: [16][13790/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 3.1154 (2.7644)	Prec@1 29.688 (34.174)	Prec@5 57.812 (64.479)
Epoch: [16][13800/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 3.0020 (2.7644)	Prec@1 27.344 (34.173)	Prec@5 56.250 (64.478)
Epoch: [16][13810/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.9534 (2.7645)	Prec@1 35.938 (34.174)	Prec@5 61.719 (64.477)
Epoch: [16][13820/14090]	Time 0.767 (0.765)	Data 0.001 (0.001)	Loss 2.8258 (2.7645)	Prec@1 28.906 (34.174)	Prec@5 57.812 (64.477)
Epoch: [16][13830/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 2.6038 (2.7645)	Prec@1 32.812 (34.173)	Prec@5 71.094 (64.476)
Epoch: [16][13840/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.5421 (2.7645)	Prec@1 36.719 (34.173)	Prec@5 65.625 (64.476)
Epoch: [16][13850/14090]	Time 0.846 (0.765)	Data 0.001 (0.001)	Loss 2.4207 (2.7645)	Prec@1 38.281 (34.174)	Prec@5 71.875 (64.478)
Epoch: [16][13860/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.3249 (2.7644)	Prec@1 42.969 (34.176)	Prec@5 74.219 (64.480)
Epoch: [16][13870/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 3.0310 (2.7644)	Prec@1 27.344 (34.175)	Prec@5 62.500 (64.480)
Epoch: [16][13880/14090]	Time 0.775 (0.765)	Data 0.001 (0.001)	Loss 2.9234 (2.7644)	Prec@1 28.906 (34.175)	Prec@5 60.156 (64.477)
Epoch: [16][13890/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 3.1977 (2.7645)	Prec@1 28.125 (34.175)	Prec@5 53.125 (64.477)
Epoch: [16][13900/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.9158 (2.7644)	Prec@1 29.688 (34.176)	Prec@5 59.375 (64.478)
Epoch: [16][13910/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.9530 (2.7645)	Prec@1 33.594 (34.173)	Prec@5 57.812 (64.476)
Epoch: [16][13920/14090]	Time 0.867 (0.765)	Data 0.001 (0.001)	Loss 2.7679 (2.7645)	Prec@1 27.344 (34.172)	Prec@5 63.281 (64.477)
Epoch: [16][13930/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.8141 (2.7646)	Prec@1 32.031 (34.171)	Prec@5 67.188 (64.476)
Epoch: [16][13940/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.7465 (2.7646)	Prec@1 36.719 (34.170)	Prec@5 61.719 (64.475)
Epoch: [16][13950/14090]	Time 0.768 (0.765)	Data 0.001 (0.001)	Loss 2.6062 (2.7646)	Prec@1 36.719 (34.169)	Prec@5 71.094 (64.474)
Epoch: [16][13960/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.4492 (2.7646)	Prec@1 40.625 (34.169)	Prec@5 71.094 (64.476)
Epoch: [16][13970/14090]	Time 0.720 (0.765)	Data 0.001 (0.001)	Loss 2.2177 (2.7646)	Prec@1 42.969 (34.168)	Prec@5 74.219 (64.476)
Epoch: [16][13980/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.6677 (2.7647)	Prec@1 30.469 (34.167)	Prec@5 64.844 (64.475)
Epoch: [16][13990/14090]	Time 0.840 (0.765)	Data 0.001 (0.001)	Loss 2.9898 (2.7647)	Prec@1 28.125 (34.167)	Prec@5 57.031 (64.475)
Epoch: [16][14000/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.8750 (2.7647)	Prec@1 31.250 (34.167)	Prec@5 62.500 (64.474)
Epoch: [16][14010/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.8784 (2.7646)	Prec@1 31.250 (34.168)	Prec@5 61.719 (64.475)
Epoch: [16][14020/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 3.2411 (2.7647)	Prec@1 30.469 (34.167)	Prec@5 54.688 (64.474)
Epoch: [16][14030/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.4884 (2.7646)	Prec@1 36.719 (34.168)	Prec@5 69.531 (64.475)
Epoch: [16][14040/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.5926 (2.7646)	Prec@1 33.594 (34.166)	Prec@5 68.750 (64.475)
Epoch: [16][14050/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.9065 (2.7646)	Prec@1 32.031 (34.166)	Prec@5 60.938 (64.475)
Epoch: [16][14060/14090]	Time 0.895 (0.765)	Data 0.001 (0.001)	Loss 2.7325 (2.7646)	Prec@1 31.250 (34.165)	Prec@5 65.625 (64.475)
Epoch: [16][14070/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.9182 (2.7646)	Prec@1 28.906 (34.165)	Prec@5 63.281 (64.473)
Epoch: [16][14080/14090]	Time 0.731 (0.765)	Data 0.000 (0.001)	Loss 2.8197 (2.7646)	Prec@1 34.375 (34.167)	Prec@5 67.188 (64.475)
Test: [0/286]	Time 4.319 (4.319)	Loss 1.1772 (1.1772)	Prec@1 71.094 (71.094)	Prec@5 91.406 (91.406)
Test: [10/286]	Time 0.370 (0.656)	Loss 2.3196 (2.5809)	Prec@1 42.969 (37.784)	Prec@5 73.438 (70.455)
Test: [20/286]	Time 0.241 (0.470)	Loss 2.3406 (2.4975)	Prec@1 42.969 (39.360)	Prec@5 72.656 (70.982)
Test: [30/286]	Time 0.234 (0.401)	Loss 2.3249 (2.4105)	Prec@1 45.312 (41.784)	Prec@5 75.000 (71.976)
Test: [40/286]	Time 0.286 (0.371)	Loss 1.6485 (2.3728)	Prec@1 47.656 (41.940)	Prec@5 90.625 (72.332)
Test: [50/286]	Time 0.293 (0.352)	Loss 1.0813 (2.3729)	Prec@1 78.906 (42.264)	Prec@5 85.938 (72.718)
Test: [60/286]	Time 0.248 (0.337)	Loss 3.3368 (2.3959)	Prec@1 26.562 (42.072)	Prec@5 53.906 (71.875)
Test: [70/286]	Time 0.236 (0.329)	Loss 1.7884 (2.3776)	Prec@1 47.656 (41.835)	Prec@5 87.500 (72.326)
Test: [80/286]	Time 0.301 (0.323)	Loss 3.0364 (2.4040)	Prec@1 25.781 (40.799)	Prec@5 55.469 (71.807)
Test: [90/286]	Time 0.423 (0.319)	Loss 2.2644 (2.3970)	Prec@1 38.281 (40.848)	Prec@5 75.781 (72.055)
Test: [100/286]	Time 0.244 (0.314)	Loss 2.3266 (2.4177)	Prec@1 46.094 (40.169)	Prec@5 74.219 (72.022)
Test: [110/286]	Time 0.232 (0.310)	Loss 2.6264 (2.4347)	Prec@1 39.844 (39.745)	Prec@5 63.281 (71.784)
Test: [120/286]	Time 0.231 (0.308)	Loss 2.9005 (2.4469)	Prec@1 27.344 (39.508)	Prec@5 62.500 (71.688)
Test: [130/286]	Time 0.242 (0.306)	Loss 1.5436 (2.4446)	Prec@1 58.594 (39.748)	Prec@5 89.062 (71.601)
Test: [140/286]	Time 0.268 (0.305)	Loss 3.1652 (2.4358)	Prec@1 33.594 (39.955)	Prec@5 57.812 (71.831)
Test: [150/286]	Time 0.245 (0.303)	Loss 3.0996 (2.4437)	Prec@1 24.219 (39.502)	Prec@5 63.281 (71.901)
Test: [160/286]	Time 0.224 (0.300)	Loss 2.7574 (2.4350)	Prec@1 31.250 (39.679)	Prec@5 69.531 (72.098)
Test: [170/286]	Time 0.233 (0.299)	Loss 3.2565 (2.4329)	Prec@1 14.844 (39.533)	Prec@5 53.906 (72.081)
Test: [180/286]	Time 0.328 (0.299)	Loss 2.0070 (2.4376)	Prec@1 51.562 (39.270)	Prec@5 78.125 (72.061)
Test: [190/286]	Time 0.240 (0.297)	Loss 3.3742 (2.4615)	Prec@1 9.375 (38.637)	Prec@5 66.406 (71.814)
Test: [200/286]	Time 0.264 (0.296)	Loss 3.2898 (2.4472)	Prec@1 15.625 (38.938)	Prec@5 63.281 (72.069)
Test: [210/286]	Time 0.278 (0.295)	Loss 2.5843 (2.4665)	Prec@1 32.812 (38.518)	Prec@5 71.875 (71.553)
Test: [220/286]	Time 0.240 (0.295)	Loss 4.1264 (2.4871)	Prec@1 13.281 (38.207)	Prec@5 34.375 (71.048)
Test: [230/286]	Time 0.295 (0.294)	Loss 1.6051 (2.4831)	Prec@1 61.719 (38.254)	Prec@5 82.031 (71.050)
Test: [240/286]	Time 0.243 (0.294)	Loss 2.6622 (2.4844)	Prec@1 28.125 (38.307)	Prec@5 71.875 (71.029)
Test: [250/286]	Time 0.319 (0.293)	Loss 2.4879 (2.4750)	Prec@1 38.281 (38.372)	Prec@5 70.312 (71.330)
Test: [260/286]	Time 0.313 (0.293)	Loss 1.6556 (2.4610)	Prec@1 60.156 (38.697)	Prec@5 81.250 (71.513)
Test: [270/286]	Time 0.237 (0.292)	Loss 2.4617 (2.4598)	Prec@1 41.406 (38.803)	Prec@5 74.219 (71.509)
Test: [280/286]	Time 0.303 (0.291)	Loss 2.0469 (2.4441)	Prec@1 46.875 (39.204)	Prec@5 78.906 (71.678)
 * Prec@1 39.453 Prec@5 71.811
Epoch: [17][0/14090]	Time 8.954 (8.954)	Data 8.179 (8.179)	Loss 2.8695 (2.8695)	Prec@1 27.344 (27.344)	Prec@5 64.062 (64.062)
Epoch: [17][10/14090]	Time 0.727 (1.494)	Data 0.001 (0.744)	Loss 2.7366 (2.7221)	Prec@1 35.156 (33.523)	Prec@5 60.938 (64.276)
Epoch: [17][20/14090]	Time 0.726 (1.137)	Data 0.001 (0.390)	Loss 2.9354 (2.8038)	Prec@1 33.594 (32.515)	Prec@5 62.500 (62.872)
Epoch: [17][30/14090]	Time 0.837 (1.016)	Data 0.001 (0.265)	Loss 2.8752 (2.8091)	Prec@1 34.375 (32.812)	Prec@5 65.625 (63.432)
Epoch: [17][40/14090]	Time 0.745 (0.951)	Data 0.001 (0.200)	Loss 2.5316 (2.8011)	Prec@1 36.719 (32.603)	Prec@5 70.312 (63.700)
Epoch: [17][50/14090]	Time 0.733 (0.913)	Data 0.001 (0.161)	Loss 2.4841 (2.7812)	Prec@1 41.406 (33.318)	Prec@5 68.750 (63.848)
Epoch: [17][60/14090]	Time 0.736 (0.890)	Data 0.001 (0.135)	Loss 2.7795 (2.7663)	Prec@1 35.156 (33.850)	Prec@5 65.625 (64.191)
Epoch: [17][70/14090]	Time 0.748 (0.871)	Data 0.001 (0.116)	Loss 2.7287 (2.7547)	Prec@1 35.156 (34.199)	Prec@5 63.281 (64.404)
Epoch: [17][80/14090]	Time 0.760 (0.859)	Data 0.001 (0.102)	Loss 2.8357 (2.7477)	Prec@1 36.719 (34.269)	Prec@5 59.375 (64.757)
Epoch: [17][90/14090]	Time 0.758 (0.848)	Data 0.001 (0.091)	Loss 2.9889 (2.7468)	Prec@1 31.250 (34.178)	Prec@5 56.250 (64.749)
Epoch: [17][100/14090]	Time 0.879 (0.841)	Data 0.001 (0.082)	Loss 2.8595 (2.7504)	Prec@1 32.031 (34.081)	Prec@5 63.281 (64.681)
Epoch: [17][110/14090]	Time 0.762 (0.834)	Data 0.001 (0.074)	Loss 2.7878 (2.7530)	Prec@1 32.812 (33.953)	Prec@5 64.062 (64.766)
Epoch: [17][120/14090]	Time 0.752 (0.828)	Data 0.001 (0.068)	Loss 2.7101 (2.7557)	Prec@1 35.156 (33.891)	Prec@5 59.375 (64.566)
Epoch: [17][130/14090]	Time 0.733 (0.824)	Data 0.001 (0.063)	Loss 2.9464 (2.7563)	Prec@1 32.812 (33.820)	Prec@5 56.250 (64.563)
Epoch: [17][140/14090]	Time 0.764 (0.820)	Data 0.001 (0.059)	Loss 2.9395 (2.7541)	Prec@1 30.469 (33.826)	Prec@5 60.938 (64.683)
Epoch: [17][150/14090]	Time 0.747 (0.816)	Data 0.001 (0.055)	Loss 2.8300 (2.7597)	Prec@1 37.500 (33.790)	Prec@5 60.938 (64.611)
Epoch: [17][160/14090]	Time 0.758 (0.813)	Data 0.001 (0.052)	Loss 3.0510 (2.7567)	Prec@1 27.344 (33.948)	Prec@5 58.594 (64.655)
Epoch: [17][170/14090]	Time 0.881 (0.811)	Data 0.001 (0.049)	Loss 2.4949 (2.7546)	Prec@1 35.938 (34.055)	Prec@5 72.656 (64.702)
Epoch: [17][180/14090]	Time 0.744 (0.808)	Data 0.001 (0.046)	Loss 2.9919 (2.7510)	Prec@1 28.906 (34.138)	Prec@5 60.938 (64.697)
Epoch: [17][190/14090]	Time 0.753 (0.806)	Data 0.001 (0.044)	Loss 2.5564 (2.7522)	Prec@1 39.844 (34.170)	Prec@5 67.188 (64.647)
Epoch: [17][200/14090]	Time 0.749 (0.804)	Data 0.001 (0.041)	Loss 2.7345 (2.7526)	Prec@1 35.156 (34.150)	Prec@5 64.062 (64.646)
Epoch: [17][210/14090]	Time 0.757 (0.802)	Data 0.001 (0.040)	Loss 2.7124 (2.7521)	Prec@1 37.500 (34.120)	Prec@5 64.844 (64.599)
Epoch: [17][220/14090]	Time 0.766 (0.801)	Data 0.001 (0.038)	Loss 2.5904 (2.7554)	Prec@1 41.406 (34.064)	Prec@5 63.281 (64.497)
Epoch: [17][230/14090]	Time 0.743 (0.799)	Data 0.001 (0.036)	Loss 2.7281 (2.7540)	Prec@1 36.719 (34.138)	Prec@5 64.062 (64.499)
Epoch: [17][240/14090]	Time 0.835 (0.798)	Data 0.001 (0.035)	Loss 2.8011 (2.7548)	Prec@1 34.375 (34.116)	Prec@5 63.281 (64.481)
Epoch: [17][250/14090]	Time 0.753 (0.797)	Data 0.001 (0.033)	Loss 3.0411 (2.7566)	Prec@1 26.562 (34.126)	Prec@5 60.938 (64.483)
Epoch: [17][260/14090]	Time 0.748 (0.795)	Data 0.001 (0.032)	Loss 2.7014 (2.7546)	Prec@1 35.156 (34.121)	Prec@5 64.844 (64.494)
Epoch: [17][270/14090]	Time 0.755 (0.795)	Data 0.001 (0.031)	Loss 2.9717 (2.7532)	Prec@1 28.906 (34.193)	Prec@5 66.406 (64.567)
Epoch: [17][280/14090]	Time 0.752 (0.793)	Data 0.001 (0.030)	Loss 2.8091 (2.7528)	Prec@1 28.125 (34.230)	Prec@5 60.156 (64.602)
Epoch: [17][290/14090]	Time 0.764 (0.792)	Data 0.001 (0.029)	Loss 2.4957 (2.7516)	Prec@1 41.406 (34.276)	Prec@5 70.312 (64.621)
Epoch: [17][300/14090]	Time 0.767 (0.792)	Data 0.001 (0.028)	Loss 2.8754 (2.7506)	Prec@1 28.906 (34.313)	Prec@5 64.844 (64.646)
Epoch: [17][310/14090]	Time 0.832 (0.791)	Data 0.001 (0.027)	Loss 3.0148 (2.7507)	Prec@1 27.344 (34.342)	Prec@5 60.156 (64.618)
Epoch: [17][320/14090]	Time 0.763 (0.790)	Data 0.001 (0.026)	Loss 2.5415 (2.7513)	Prec@1 37.500 (34.351)	Prec@5 67.188 (64.649)
Epoch: [17][330/14090]	Time 0.764 (0.789)	Data 0.001 (0.025)	Loss 2.8617 (2.7522)	Prec@1 40.625 (34.392)	Prec@5 60.938 (64.617)
Epoch: [17][340/14090]	Time 0.781 (0.789)	Data 0.001 (0.025)	Loss 2.9924 (2.7516)	Prec@1 29.688 (34.428)	Prec@5 58.594 (64.628)
Epoch: [17][350/14090]	Time 0.748 (0.788)	Data 0.001 (0.024)	Loss 2.6276 (2.7519)	Prec@1 39.844 (34.462)	Prec@5 67.188 (64.599)
Epoch: [17][360/14090]	Time 0.759 (0.788)	Data 0.001 (0.023)	Loss 2.4223 (2.7494)	Prec@1 35.938 (34.505)	Prec@5 72.656 (64.679)
Epoch: [17][370/14090]	Time 0.751 (0.787)	Data 0.001 (0.023)	Loss 2.7468 (2.7487)	Prec@1 32.812 (34.501)	Prec@5 64.844 (64.728)
Epoch: [17][380/14090]	Time 0.886 (0.787)	Data 0.001 (0.022)	Loss 2.9764 (2.7494)	Prec@1 31.250 (34.441)	Prec@5 61.719 (64.737)
Epoch: [17][390/14090]	Time 0.744 (0.786)	Data 0.001 (0.022)	Loss 2.8807 (2.7496)	Prec@1 27.344 (34.415)	Prec@5 61.719 (64.728)
Epoch: [17][400/14090]	Time 0.751 (0.785)	Data 0.001 (0.021)	Loss 2.6697 (2.7489)	Prec@1 43.750 (34.461)	Prec@5 64.062 (64.723)
Epoch: [17][410/14090]	Time 0.730 (0.785)	Data 0.001 (0.021)	Loss 2.8965 (2.7490)	Prec@1 30.469 (34.466)	Prec@5 60.938 (64.728)
Epoch: [17][420/14090]	Time 0.743 (0.785)	Data 0.001 (0.020)	Loss 2.7998 (2.7487)	Prec@1 35.156 (34.483)	Prec@5 64.062 (64.725)
Epoch: [17][430/14090]	Time 0.740 (0.784)	Data 0.001 (0.020)	Loss 2.9548 (2.7494)	Prec@1 26.562 (34.446)	Prec@5 55.469 (64.735)
Epoch: [17][440/14090]	Time 0.737 (0.783)	Data 0.001 (0.019)	Loss 2.7056 (2.7494)	Prec@1 35.156 (34.469)	Prec@5 62.500 (64.736)
Epoch: [17][450/14090]	Time 0.890 (0.783)	Data 0.001 (0.019)	Loss 2.4824 (2.7505)	Prec@1 38.281 (34.463)	Prec@5 70.312 (64.754)
Epoch: [17][460/14090]	Time 0.761 (0.783)	Data 0.001 (0.019)	Loss 2.4854 (2.7508)	Prec@1 41.406 (34.453)	Prec@5 68.750 (64.729)
Epoch: [17][470/14090]	Time 0.748 (0.782)	Data 0.001 (0.018)	Loss 2.6572 (2.7484)	Prec@1 36.719 (34.511)	Prec@5 66.406 (64.762)
Epoch: [17][480/14090]	Time 0.741 (0.782)	Data 0.001 (0.018)	Loss 2.8723 (2.7505)	Prec@1 30.469 (34.476)	Prec@5 62.500 (64.719)
Epoch: [17][490/14090]	Time 0.746 (0.782)	Data 0.001 (0.017)	Loss 2.8171 (2.7521)	Prec@1 34.375 (34.470)	Prec@5 64.844 (64.702)
Epoch: [17][500/14090]	Time 0.771 (0.781)	Data 0.001 (0.017)	Loss 2.8197 (2.7512)	Prec@1 32.812 (34.481)	Prec@5 67.188 (64.721)
Epoch: [17][510/14090]	Time 0.728 (0.781)	Data 0.001 (0.017)	Loss 2.9663 (2.7516)	Prec@1 32.812 (34.471)	Prec@5 56.250 (64.712)
Epoch: [17][520/14090]	Time 0.868 (0.781)	Data 0.001 (0.016)	Loss 2.6613 (2.7509)	Prec@1 39.062 (34.495)	Prec@5 69.531 (64.724)
Epoch: [17][530/14090]	Time 0.783 (0.781)	Data 0.001 (0.016)	Loss 2.9034 (2.7519)	Prec@1 28.906 (34.468)	Prec@5 66.406 (64.738)
Epoch: [17][540/14090]	Time 0.748 (0.780)	Data 0.001 (0.016)	Loss 2.9285 (2.7512)	Prec@1 38.281 (34.509)	Prec@5 54.688 (64.714)
Epoch: [17][550/14090]	Time 0.740 (0.780)	Data 0.001 (0.016)	Loss 2.8355 (2.7500)	Prec@1 37.500 (34.558)	Prec@5 64.062 (64.739)
Epoch: [17][560/14090]	Time 0.766 (0.780)	Data 0.001 (0.015)	Loss 2.7458 (2.7506)	Prec@1 35.156 (34.531)	Prec@5 65.625 (64.713)
Epoch: [17][570/14090]	Time 0.761 (0.780)	Data 0.001 (0.015)	Loss 2.6668 (2.7504)	Prec@1 29.688 (34.528)	Prec@5 67.188 (64.725)
Epoch: [17][580/14090]	Time 0.759 (0.779)	Data 0.001 (0.015)	Loss 2.8163 (2.7508)	Prec@1 27.344 (34.493)	Prec@5 67.969 (64.732)
Epoch: [17][590/14090]	Time 0.895 (0.779)	Data 0.001 (0.015)	Loss 2.7666 (2.7509)	Prec@1 38.281 (34.481)	Prec@5 64.062 (64.726)
Epoch: [17][600/14090]	Time 0.747 (0.779)	Data 0.001 (0.014)	Loss 3.1115 (2.7512)	Prec@1 28.906 (34.504)	Prec@5 60.156 (64.712)
Epoch: [17][610/14090]	Time 0.756 (0.779)	Data 0.001 (0.014)	Loss 2.9314 (2.7503)	Prec@1 35.156 (34.521)	Prec@5 60.938 (64.747)
Epoch: [17][620/14090]	Time 0.739 (0.778)	Data 0.001 (0.014)	Loss 2.8304 (2.7503)	Prec@1 37.500 (34.501)	Prec@5 60.156 (64.736)
Epoch: [17][630/14090]	Time 0.742 (0.778)	Data 0.001 (0.014)	Loss 3.0287 (2.7513)	Prec@1 25.781 (34.468)	Prec@5 58.594 (64.713)
Epoch: [17][640/14090]	Time 0.762 (0.778)	Data 0.001 (0.014)	Loss 2.6174 (2.7511)	Prec@1 39.062 (34.469)	Prec@5 65.625 (64.715)
Epoch: [17][650/14090]	Time 0.742 (0.778)	Data 0.001 (0.013)	Loss 2.6357 (2.7508)	Prec@1 35.938 (34.461)	Prec@5 66.406 (64.723)
Epoch: [17][660/14090]	Time 0.831 (0.777)	Data 0.001 (0.013)	Loss 2.9994 (2.7494)	Prec@1 28.906 (34.471)	Prec@5 59.375 (64.759)
Epoch: [17][670/14090]	Time 0.752 (0.777)	Data 0.001 (0.013)	Loss 2.5371 (2.7492)	Prec@1 32.031 (34.461)	Prec@5 69.531 (64.773)
Epoch: [17][680/14090]	Time 0.752 (0.777)	Data 0.001 (0.013)	Loss 3.1982 (2.7482)	Prec@1 25.000 (34.460)	Prec@5 52.344 (64.805)
Epoch: [17][690/14090]	Time 0.744 (0.777)	Data 0.001 (0.013)	Loss 2.9030 (2.7493)	Prec@1 31.250 (34.443)	Prec@5 64.844 (64.803)
Epoch: [17][700/14090]	Time 0.757 (0.777)	Data 0.001 (0.012)	Loss 2.8291 (2.7491)	Prec@1 34.375 (34.452)	Prec@5 61.719 (64.819)
Epoch: [17][710/14090]	Time 0.762 (0.777)	Data 0.001 (0.012)	Loss 2.9693 (2.7495)	Prec@1 24.219 (34.444)	Prec@5 57.031 (64.806)
Epoch: [17][720/14090]	Time 0.742 (0.776)	Data 0.001 (0.012)	Loss 2.6369 (2.7485)	Prec@1 39.062 (34.476)	Prec@5 69.531 (64.835)
Epoch: [17][730/14090]	Time 0.851 (0.776)	Data 0.001 (0.012)	Loss 2.7764 (2.7482)	Prec@1 31.250 (34.481)	Prec@5 60.938 (64.836)
Epoch: [17][740/14090]	Time 0.758 (0.776)	Data 0.001 (0.012)	Loss 2.6309 (2.7478)	Prec@1 34.375 (34.478)	Prec@5 71.094 (64.838)
Epoch: [17][750/14090]	Time 0.745 (0.776)	Data 0.001 (0.012)	Loss 2.8749 (2.7481)	Prec@1 29.688 (34.476)	Prec@5 62.500 (64.830)
Epoch: [17][760/14090]	Time 0.751 (0.776)	Data 0.001 (0.012)	Loss 2.8920 (2.7473)	Prec@1 32.031 (34.494)	Prec@5 60.156 (64.842)
Epoch: [17][770/14090]	Time 0.751 (0.776)	Data 0.001 (0.011)	Loss 2.5162 (2.7468)	Prec@1 43.750 (34.516)	Prec@5 71.875 (64.842)
Epoch: [17][780/14090]	Time 0.738 (0.776)	Data 0.001 (0.011)	Loss 3.0248 (2.7474)	Prec@1 28.125 (34.512)	Prec@5 59.375 (64.834)
Epoch: [17][790/14090]	Time 0.737 (0.776)	Data 0.001 (0.011)	Loss 2.5793 (2.7477)	Prec@1 33.594 (34.504)	Prec@5 70.312 (64.834)
Epoch: [17][800/14090]	Time 0.872 (0.776)	Data 0.001 (0.011)	Loss 2.9787 (2.7485)	Prec@1 35.156 (34.480)	Prec@5 61.719 (64.830)
Epoch: [17][810/14090]	Time 0.773 (0.775)	Data 0.001 (0.011)	Loss 2.6124 (2.7480)	Prec@1 38.281 (34.496)	Prec@5 67.188 (64.827)
Epoch: [17][820/14090]	Time 0.753 (0.775)	Data 0.001 (0.011)	Loss 2.7519 (2.7484)	Prec@1 33.594 (34.485)	Prec@5 66.406 (64.828)
Epoch: [17][830/14090]	Time 0.731 (0.775)	Data 0.001 (0.011)	Loss 2.8238 (2.7484)	Prec@1 35.156 (34.489)	Prec@5 67.188 (64.845)
Epoch: [17][840/14090]	Time 0.736 (0.775)	Data 0.001 (0.011)	Loss 2.9007 (2.7468)	Prec@1 32.812 (34.529)	Prec@5 66.406 (64.886)
Epoch: [17][850/14090]	Time 0.756 (0.775)	Data 0.001 (0.010)	Loss 2.6817 (2.7460)	Prec@1 35.156 (34.544)	Prec@5 66.406 (64.891)
Epoch: [17][860/14090]	Time 0.740 (0.775)	Data 0.001 (0.010)	Loss 2.7247 (2.7466)	Prec@1 37.500 (34.537)	Prec@5 62.500 (64.873)
Epoch: [17][870/14090]	Time 0.892 (0.775)	Data 0.001 (0.010)	Loss 2.9397 (2.7473)	Prec@1 25.000 (34.520)	Prec@5 57.031 (64.851)
Epoch: [17][880/14090]	Time 0.748 (0.775)	Data 0.001 (0.010)	Loss 2.6168 (2.7480)	Prec@1 40.625 (34.499)	Prec@5 65.625 (64.839)
Epoch: [17][890/14090]	Time 0.746 (0.775)	Data 0.001 (0.010)	Loss 2.5606 (2.7468)	Prec@1 39.062 (34.526)	Prec@5 66.406 (64.860)
Epoch: [17][900/14090]	Time 0.732 (0.774)	Data 0.001 (0.010)	Loss 2.5046 (2.7468)	Prec@1 41.406 (34.528)	Prec@5 67.188 (64.861)
Epoch: [17][910/14090]	Time 0.760 (0.774)	Data 0.001 (0.010)	Loss 2.5048 (2.7474)	Prec@1 33.594 (34.531)	Prec@5 71.875 (64.861)
Epoch: [17][920/14090]	Time 0.745 (0.774)	Data 0.001 (0.010)	Loss 2.9352 (2.7490)	Prec@1 30.469 (34.506)	Prec@5 61.719 (64.842)
Epoch: [17][930/14090]	Time 0.762 (0.774)	Data 0.001 (0.010)	Loss 2.9940 (2.7502)	Prec@1 31.250 (34.490)	Prec@5 60.156 (64.820)
Epoch: [17][940/14090]	Time 0.849 (0.774)	Data 0.001 (0.009)	Loss 2.6151 (2.7503)	Prec@1 32.031 (34.493)	Prec@5 71.094 (64.821)
Epoch: [17][950/14090]	Time 0.745 (0.774)	Data 0.001 (0.009)	Loss 2.9585 (2.7507)	Prec@1 27.344 (34.471)	Prec@5 62.500 (64.823)
Epoch: [17][960/14090]	Time 0.755 (0.774)	Data 0.001 (0.009)	Loss 3.0697 (2.7517)	Prec@1 28.906 (34.451)	Prec@5 57.031 (64.790)
Epoch: [17][970/14090]	Time 0.766 (0.774)	Data 0.001 (0.009)	Loss 2.6766 (2.7511)	Prec@1 35.156 (34.481)	Prec@5 69.531 (64.792)
Epoch: [17][980/14090]	Time 0.750 (0.774)	Data 0.001 (0.009)	Loss 2.8254 (2.7515)	Prec@1 33.594 (34.455)	Prec@5 64.844 (64.778)
Epoch: [17][990/14090]	Time 0.751 (0.774)	Data 0.001 (0.009)	Loss 2.6692 (2.7527)	Prec@1 39.062 (34.446)	Prec@5 67.969 (64.766)
Epoch: [17][1000/14090]	Time 0.739 (0.774)	Data 0.001 (0.009)	Loss 2.7990 (2.7529)	Prec@1 34.375 (34.437)	Prec@5 60.156 (64.754)
Epoch: [17][1010/14090]	Time 0.840 (0.773)	Data 0.001 (0.009)	Loss 2.9654 (2.7537)	Prec@1 32.031 (34.432)	Prec@5 60.156 (64.735)
Epoch: [17][1020/14090]	Time 0.759 (0.773)	Data 0.001 (0.009)	Loss 2.8459 (2.7540)	Prec@1 38.281 (34.426)	Prec@5 67.969 (64.743)
Epoch: [17][1030/14090]	Time 0.736 (0.773)	Data 0.001 (0.009)	Loss 2.8909 (2.7549)	Prec@1 38.281 (34.423)	Prec@5 64.062 (64.723)
Epoch: [17][1040/14090]	Time 0.781 (0.773)	Data 0.001 (0.009)	Loss 2.6269 (2.7545)	Prec@1 35.156 (34.415)	Prec@5 67.188 (64.734)
Epoch: [17][1050/14090]	Time 0.748 (0.773)	Data 0.001 (0.009)	Loss 3.0602 (2.7549)	Prec@1 25.000 (34.414)	Prec@5 60.938 (64.739)
Epoch: [17][1060/14090]	Time 0.731 (0.773)	Data 0.001 (0.009)	Loss 2.7627 (2.7551)	Prec@1 35.156 (34.399)	Prec@5 63.281 (64.743)
Epoch: [17][1070/14090]	Time 0.746 (0.773)	Data 0.001 (0.008)	Loss 2.4377 (2.7550)	Prec@1 41.406 (34.401)	Prec@5 71.875 (64.739)
Epoch: [17][1080/14090]	Time 0.835 (0.773)	Data 0.001 (0.008)	Loss 2.7342 (2.7543)	Prec@1 42.969 (34.415)	Prec@5 65.625 (64.760)
Epoch: [17][1090/14090]	Time 0.766 (0.773)	Data 0.001 (0.008)	Loss 2.5659 (2.7542)	Prec@1 42.188 (34.414)	Prec@5 63.281 (64.748)
Epoch: [17][1100/14090]	Time 0.766 (0.773)	Data 0.001 (0.008)	Loss 2.4661 (2.7540)	Prec@1 39.844 (34.417)	Prec@5 71.875 (64.759)
Epoch: [17][1110/14090]	Time 0.742 (0.773)	Data 0.001 (0.008)	Loss 2.5787 (2.7532)	Prec@1 39.062 (34.428)	Prec@5 67.969 (64.770)
Epoch: [17][1120/14090]	Time 0.723 (0.773)	Data 0.001 (0.008)	Loss 2.6237 (2.7534)	Prec@1 39.844 (34.424)	Prec@5 67.188 (64.768)
Epoch: [17][1130/14090]	Time 0.750 (0.773)	Data 0.001 (0.008)	Loss 2.6102 (2.7530)	Prec@1 37.500 (34.431)	Prec@5 64.062 (64.768)
Epoch: [17][1140/14090]	Time 0.732 (0.773)	Data 0.001 (0.008)	Loss 2.8113 (2.7524)	Prec@1 34.375 (34.440)	Prec@5 61.719 (64.769)
Epoch: [17][1150/14090]	Time 0.866 (0.773)	Data 0.001 (0.008)	Loss 2.7740 (2.7528)	Prec@1 32.031 (34.425)	Prec@5 68.750 (64.762)
Epoch: [17][1160/14090]	Time 0.777 (0.773)	Data 0.001 (0.008)	Loss 2.7086 (2.7524)	Prec@1 38.281 (34.439)	Prec@5 64.844 (64.756)
Epoch: [17][1170/14090]	Time 0.748 (0.772)	Data 0.001 (0.008)	Loss 2.7572 (2.7528)	Prec@1 31.250 (34.429)	Prec@5 63.281 (64.744)
Epoch: [17][1180/14090]	Time 0.749 (0.772)	Data 0.001 (0.008)	Loss 2.7917 (2.7530)	Prec@1 31.250 (34.415)	Prec@5 59.375 (64.728)
Epoch: [17][1190/14090]	Time 0.759 (0.772)	Data 0.001 (0.008)	Loss 3.0771 (2.7537)	Prec@1 27.344 (34.399)	Prec@5 57.812 (64.706)
Epoch: [17][1200/14090]	Time 0.753 (0.772)	Data 0.001 (0.008)	Loss 3.0255 (2.7529)	Prec@1 28.906 (34.419)	Prec@5 57.812 (64.715)
Epoch: [17][1210/14090]	Time 0.769 (0.772)	Data 0.001 (0.008)	Loss 2.7702 (2.7532)	Prec@1 31.250 (34.426)	Prec@5 65.625 (64.715)
Epoch: [17][1220/14090]	Time 0.853 (0.772)	Data 0.001 (0.008)	Loss 2.9361 (2.7531)	Prec@1 25.781 (34.423)	Prec@5 58.594 (64.715)
Epoch: [17][1230/14090]	Time 0.753 (0.772)	Data 0.001 (0.007)	Loss 2.4989 (2.7530)	Prec@1 38.281 (34.425)	Prec@5 66.406 (64.709)
Epoch: [17][1240/14090]	Time 0.778 (0.772)	Data 0.001 (0.007)	Loss 2.6351 (2.7531)	Prec@1 35.938 (34.429)	Prec@5 63.281 (64.712)
Epoch: [17][1250/14090]	Time 0.733 (0.772)	Data 0.001 (0.007)	Loss 2.5630 (2.7529)	Prec@1 40.625 (34.437)	Prec@5 71.094 (64.721)
Epoch: [17][1260/14090]	Time 0.752 (0.772)	Data 0.001 (0.007)	Loss 2.6878 (2.7526)	Prec@1 41.406 (34.451)	Prec@5 67.969 (64.730)
Epoch: [17][1270/14090]	Time 0.754 (0.772)	Data 0.001 (0.007)	Loss 2.8031 (2.7528)	Prec@1 28.906 (34.440)	Prec@5 63.281 (64.726)
Epoch: [17][1280/14090]	Time 0.765 (0.772)	Data 0.001 (0.007)	Loss 2.9605 (2.7536)	Prec@1 32.031 (34.437)	Prec@5 61.719 (64.703)
Epoch: [17][1290/14090]	Time 0.870 (0.772)	Data 0.001 (0.007)	Loss 2.7961 (2.7536)	Prec@1 31.250 (34.428)	Prec@5 67.188 (64.709)
Epoch: [17][1300/14090]	Time 0.749 (0.772)	Data 0.001 (0.007)	Loss 2.7689 (2.7538)	Prec@1 30.469 (34.424)	Prec@5 67.188 (64.717)
Epoch: [17][1310/14090]	Time 0.738 (0.772)	Data 0.001 (0.007)	Loss 2.8337 (2.7540)	Prec@1 35.156 (34.429)	Prec@5 61.719 (64.713)
Epoch: [17][1320/14090]	Time 0.743 (0.772)	Data 0.001 (0.007)	Loss 2.6642 (2.7540)	Prec@1 34.375 (34.433)	Prec@5 66.406 (64.704)
Epoch: [17][1330/14090]	Time 0.755 (0.772)	Data 0.001 (0.007)	Loss 3.0030 (2.7541)	Prec@1 30.469 (34.427)	Prec@5 61.719 (64.698)
Epoch: [17][1340/14090]	Time 0.759 (0.772)	Data 0.001 (0.007)	Loss 2.8272 (2.7550)	Prec@1 31.250 (34.401)	Prec@5 58.594 (64.684)
Epoch: [17][1350/14090]	Time 0.748 (0.772)	Data 0.001 (0.007)	Loss 2.8216 (2.7551)	Prec@1 30.469 (34.399)	Prec@5 63.281 (64.678)
Epoch: [17][1360/14090]	Time 0.814 (0.771)	Data 0.001 (0.007)	Loss 2.8042 (2.7559)	Prec@1 36.719 (34.385)	Prec@5 64.062 (64.664)
Epoch: [17][1370/14090]	Time 0.761 (0.771)	Data 0.001 (0.007)	Loss 2.8735 (2.7561)	Prec@1 27.344 (34.384)	Prec@5 64.844 (64.658)
Epoch: [17][1380/14090]	Time 0.746 (0.771)	Data 0.001 (0.007)	Loss 2.5346 (2.7562)	Prec@1 37.500 (34.379)	Prec@5 65.625 (64.660)
Epoch: [17][1390/14090]	Time 0.755 (0.771)	Data 0.001 (0.007)	Loss 2.7725 (2.7566)	Prec@1 33.594 (34.367)	Prec@5 59.375 (64.649)
Epoch: [17][1400/14090]	Time 0.756 (0.771)	Data 0.001 (0.007)	Loss 2.9785 (2.7569)	Prec@1 26.562 (34.346)	Prec@5 60.156 (64.642)
Epoch: [17][1410/14090]	Time 0.736 (0.771)	Data 0.001 (0.007)	Loss 3.0082 (2.7571)	Prec@1 28.906 (34.348)	Prec@5 62.500 (64.644)
Epoch: [17][1420/14090]	Time 0.753 (0.771)	Data 0.001 (0.007)	Loss 3.0865 (2.7567)	Prec@1 28.906 (34.354)	Prec@5 53.906 (64.652)
Epoch: [17][1430/14090]	Time 0.825 (0.771)	Data 0.001 (0.007)	Loss 2.8147 (2.7571)	Prec@1 31.250 (34.342)	Prec@5 62.500 (64.649)
Epoch: [17][1440/14090]	Time 0.736 (0.771)	Data 0.001 (0.006)	Loss 2.7594 (2.7570)	Prec@1 34.375 (34.332)	Prec@5 68.750 (64.649)
Epoch: [17][1450/14090]	Time 0.749 (0.771)	Data 0.001 (0.006)	Loss 2.6207 (2.7571)	Prec@1 39.062 (34.329)	Prec@5 68.750 (64.649)
Epoch: [17][1460/14090]	Time 0.757 (0.771)	Data 0.001 (0.006)	Loss 3.1605 (2.7575)	Prec@1 28.906 (34.315)	Prec@5 53.906 (64.639)
Epoch: [17][1470/14090]	Time 0.760 (0.771)	Data 0.001 (0.006)	Loss 2.7757 (2.7571)	Prec@1 32.031 (34.322)	Prec@5 64.844 (64.648)
Epoch: [17][1480/14090]	Time 0.743 (0.771)	Data 0.001 (0.006)	Loss 2.8254 (2.7574)	Prec@1 34.375 (34.310)	Prec@5 60.938 (64.645)
Epoch: [17][1490/14090]	Time 0.761 (0.771)	Data 0.001 (0.006)	Loss 2.7086 (2.7571)	Prec@1 35.938 (34.317)	Prec@5 67.188 (64.655)
Epoch: [17][1500/14090]	Time 0.865 (0.771)	Data 0.001 (0.006)	Loss 2.8633 (2.7572)	Prec@1 33.594 (34.315)	Prec@5 64.062 (64.655)
Epoch: [17][1510/14090]	Time 0.736 (0.771)	Data 0.001 (0.006)	Loss 2.6764 (2.7564)	Prec@1 35.938 (34.330)	Prec@5 68.750 (64.669)
Epoch: [17][1520/14090]	Time 0.765 (0.771)	Data 0.001 (0.006)	Loss 3.1191 (2.7565)	Prec@1 31.250 (34.322)	Prec@5 59.375 (64.671)
Epoch: [17][1530/14090]	Time 0.768 (0.771)	Data 0.001 (0.006)	Loss 2.5596 (2.7568)	Prec@1 37.500 (34.315)	Prec@5 71.875 (64.659)
Epoch: [17][1540/14090]	Time 0.749 (0.771)	Data 0.001 (0.006)	Loss 2.6997 (2.7566)	Prec@1 39.062 (34.320)	Prec@5 67.969 (64.664)
Epoch: [17][1550/14090]	Time 0.741 (0.771)	Data 0.001 (0.006)	Loss 2.7986 (2.7571)	Prec@1 33.594 (34.310)	Prec@5 67.969 (64.658)
Epoch: [17][1560/14090]	Time 0.738 (0.771)	Data 0.001 (0.006)	Loss 2.5333 (2.7569)	Prec@1 40.625 (34.319)	Prec@5 71.094 (64.662)
Epoch: [17][1570/14090]	Time 0.887 (0.771)	Data 0.001 (0.006)	Loss 2.6217 (2.7565)	Prec@1 35.938 (34.334)	Prec@5 62.500 (64.669)
Epoch: [17][1580/14090]	Time 0.740 (0.771)	Data 0.001 (0.006)	Loss 3.0327 (2.7567)	Prec@1 29.688 (34.330)	Prec@5 53.906 (64.654)
Epoch: [17][1590/14090]	Time 0.738 (0.770)	Data 0.001 (0.006)	Loss 2.6503 (2.7560)	Prec@1 36.719 (34.333)	Prec@5 63.281 (64.659)
Epoch: [17][1600/14090]	Time 0.756 (0.770)	Data 0.001 (0.006)	Loss 2.7388 (2.7557)	Prec@1 35.938 (34.335)	Prec@5 60.938 (64.665)
Epoch: [17][1610/14090]	Time 0.750 (0.770)	Data 0.001 (0.006)	Loss 2.4578 (2.7555)	Prec@1 38.281 (34.345)	Prec@5 70.312 (64.665)
Epoch: [17][1620/14090]	Time 0.752 (0.770)	Data 0.001 (0.006)	Loss 2.7256 (2.7558)	Prec@1 33.594 (34.341)	Prec@5 67.188 (64.650)
Epoch: [17][1630/14090]	Time 0.752 (0.770)	Data 0.001 (0.006)	Loss 2.6605 (2.7558)	Prec@1 34.375 (34.331)	Prec@5 67.969 (64.649)
Epoch: [17][1640/14090]	Time 0.820 (0.770)	Data 0.001 (0.006)	Loss 2.4724 (2.7548)	Prec@1 39.844 (34.356)	Prec@5 68.750 (64.674)
Epoch: [17][1650/14090]	Time 0.731 (0.770)	Data 0.001 (0.006)	Loss 2.4573 (2.7545)	Prec@1 41.406 (34.362)	Prec@5 66.406 (64.681)
Epoch: [17][1660/14090]	Time 0.754 (0.770)	Data 0.001 (0.006)	Loss 2.8441 (2.7544)	Prec@1 31.250 (34.371)	Prec@5 63.281 (64.680)
Epoch: [17][1670/14090]	Time 0.746 (0.770)	Data 0.001 (0.006)	Loss 2.8629 (2.7548)	Prec@1 39.844 (34.367)	Prec@5 59.375 (64.664)
Epoch: [17][1680/14090]	Time 0.757 (0.770)	Data 0.001 (0.006)	Loss 2.7745 (2.7546)	Prec@1 36.719 (34.355)	Prec@5 66.406 (64.666)
Epoch: [17][1690/14090]	Time 0.764 (0.770)	Data 0.001 (0.006)	Loss 2.7318 (2.7549)	Prec@1 32.031 (34.336)	Prec@5 70.312 (64.662)
Epoch: [17][1700/14090]	Time 0.729 (0.770)	Data 0.001 (0.006)	Loss 2.8466 (2.7549)	Prec@1 32.812 (34.339)	Prec@5 66.406 (64.665)
Epoch: [17][1710/14090]	Time 0.854 (0.770)	Data 0.001 (0.006)	Loss 2.6578 (2.7547)	Prec@1 37.500 (34.349)	Prec@5 63.281 (64.667)
Epoch: [17][1720/14090]	Time 0.758 (0.770)	Data 0.001 (0.006)	Loss 2.8420 (2.7545)	Prec@1 35.156 (34.364)	Prec@5 64.844 (64.669)
Epoch: [17][1730/14090]	Time 0.746 (0.770)	Data 0.001 (0.006)	Loss 2.8642 (2.7543)	Prec@1 31.250 (34.368)	Prec@5 61.719 (64.669)
Epoch: [17][1740/14090]	Time 0.759 (0.770)	Data 0.001 (0.006)	Loss 2.9256 (2.7545)	Prec@1 29.688 (34.359)	Prec@5 63.281 (64.664)
Epoch: [17][1750/14090]	Time 0.746 (0.770)	Data 0.001 (0.005)	Loss 2.9752 (2.7546)	Prec@1 34.375 (34.361)	Prec@5 57.812 (64.660)
Epoch: [17][1760/14090]	Time 0.749 (0.770)	Data 0.001 (0.005)	Loss 2.9164 (2.7554)	Prec@1 32.812 (34.345)	Prec@5 64.062 (64.648)
Epoch: [17][1770/14090]	Time 0.751 (0.770)	Data 0.001 (0.005)	Loss 2.6908 (2.7558)	Prec@1 36.719 (34.345)	Prec@5 67.969 (64.643)
Epoch: [17][1780/14090]	Time 0.859 (0.770)	Data 0.001 (0.005)	Loss 2.6682 (2.7558)	Prec@1 32.031 (34.341)	Prec@5 65.625 (64.638)
Epoch: [17][1790/14090]	Time 0.742 (0.770)	Data 0.001 (0.005)	Loss 2.8571 (2.7563)	Prec@1 34.375 (34.337)	Prec@5 57.812 (64.622)
Epoch: [17][1800/14090]	Time 0.741 (0.770)	Data 0.001 (0.005)	Loss 2.5530 (2.7562)	Prec@1 35.938 (34.339)	Prec@5 67.969 (64.622)
Epoch: [17][1810/14090]	Time 0.779 (0.770)	Data 0.001 (0.005)	Loss 2.6261 (2.7565)	Prec@1 35.156 (34.325)	Prec@5 65.625 (64.621)
Epoch: [17][1820/14090]	Time 0.753 (0.770)	Data 0.001 (0.005)	Loss 2.9908 (2.7567)	Prec@1 28.125 (34.318)	Prec@5 61.719 (64.620)
Epoch: [17][1830/14090]	Time 0.743 (0.770)	Data 0.001 (0.005)	Loss 2.9083 (2.7568)	Prec@1 34.375 (34.303)	Prec@5 61.719 (64.619)
Epoch: [17][1840/14090]	Time 0.747 (0.770)	Data 0.001 (0.005)	Loss 2.8957 (2.7572)	Prec@1 32.031 (34.294)	Prec@5 60.938 (64.609)
Epoch: [17][1850/14090]	Time 0.850 (0.770)	Data 0.001 (0.005)	Loss 2.7767 (2.7575)	Prec@1 33.594 (34.294)	Prec@5 64.844 (64.602)
Epoch: [17][1860/14090]	Time 0.740 (0.770)	Data 0.001 (0.005)	Loss 2.4656 (2.7572)	Prec@1 42.188 (34.296)	Prec@5 63.281 (64.603)
Epoch: [17][1870/14090]	Time 0.728 (0.770)	Data 0.001 (0.005)	Loss 2.8053 (2.7575)	Prec@1 30.469 (34.291)	Prec@5 62.500 (64.604)
Epoch: [17][1880/14090]	Time 0.758 (0.770)	Data 0.001 (0.005)	Loss 2.9261 (2.7577)	Prec@1 34.375 (34.295)	Prec@5 63.281 (64.599)
Epoch: [17][1890/14090]	Time 0.755 (0.770)	Data 0.001 (0.005)	Loss 2.5892 (2.7579)	Prec@1 46.875 (34.299)	Prec@5 67.188 (64.590)
Epoch: [17][1900/14090]	Time 0.745 (0.770)	Data 0.001 (0.005)	Loss 3.0441 (2.7580)	Prec@1 29.688 (34.296)	Prec@5 62.500 (64.590)
Epoch: [17][1910/14090]	Time 0.755 (0.770)	Data 0.001 (0.005)	Loss 2.8137 (2.7584)	Prec@1 30.469 (34.287)	Prec@5 61.719 (64.581)
Epoch: [17][1920/14090]	Time 0.836 (0.770)	Data 0.001 (0.005)	Loss 2.8350 (2.7587)	Prec@1 32.812 (34.285)	Prec@5 60.156 (64.573)
Epoch: [17][1930/14090]	Time 0.742 (0.769)	Data 0.001 (0.005)	Loss 2.8111 (2.7588)	Prec@1 32.031 (34.281)	Prec@5 62.500 (64.573)
Epoch: [17][1940/14090]	Time 0.737 (0.769)	Data 0.001 (0.005)	Loss 2.5262 (2.7591)	Prec@1 39.844 (34.284)	Prec@5 67.188 (64.569)
Epoch: [17][1950/14090]	Time 0.734 (0.769)	Data 0.001 (0.005)	Loss 2.4840 (2.7590)	Prec@1 42.969 (34.291)	Prec@5 71.094 (64.565)
Epoch: [17][1960/14090]	Time 0.755 (0.769)	Data 0.001 (0.005)	Loss 2.5550 (2.7590)	Prec@1 40.625 (34.291)	Prec@5 68.750 (64.567)
Epoch: [17][1970/14090]	Time 0.759 (0.769)	Data 0.001 (0.005)	Loss 2.6663 (2.7592)	Prec@1 35.156 (34.289)	Prec@5 66.406 (64.559)
Epoch: [17][1980/14090]	Time 0.753 (0.769)	Data 0.001 (0.005)	Loss 2.6488 (2.7593)	Prec@1 35.156 (34.286)	Prec@5 66.406 (64.559)
Epoch: [17][1990/14090]	Time 0.871 (0.769)	Data 0.001 (0.005)	Loss 3.0396 (2.7593)	Prec@1 33.594 (34.285)	Prec@5 59.375 (64.560)
Epoch: [17][2000/14090]	Time 0.757 (0.769)	Data 0.001 (0.005)	Loss 2.7167 (2.7590)	Prec@1 34.375 (34.295)	Prec@5 64.062 (64.569)
Epoch: [17][2010/14090]	Time 0.777 (0.769)	Data 0.001 (0.005)	Loss 2.8105 (2.7593)	Prec@1 33.594 (34.288)	Prec@5 66.406 (64.561)
Epoch: [17][2020/14090]	Time 0.753 (0.769)	Data 0.001 (0.005)	Loss 2.5131 (2.7589)	Prec@1 37.500 (34.291)	Prec@5 68.750 (64.571)
Epoch: [17][2030/14090]	Time 0.759 (0.769)	Data 0.001 (0.005)	Loss 2.6911 (2.7588)	Prec@1 35.938 (34.297)	Prec@5 63.281 (64.570)
Epoch: [17][2040/14090]	Time 0.761 (0.769)	Data 0.001 (0.005)	Loss 2.7998 (2.7592)	Prec@1 36.719 (34.294)	Prec@5 60.938 (64.550)
Epoch: [17][2050/14090]	Time 0.792 (0.769)	Data 0.001 (0.005)	Loss 2.7612 (2.7591)	Prec@1 34.375 (34.290)	Prec@5 64.062 (64.549)
Epoch: [17][2060/14090]	Time 0.862 (0.769)	Data 0.001 (0.005)	Loss 2.7725 (2.7591)	Prec@1 33.594 (34.291)	Prec@5 60.156 (64.549)
Epoch: [17][2070/14090]	Time 0.744 (0.769)	Data 0.001 (0.005)	Loss 2.7918 (2.7588)	Prec@1 30.469 (34.293)	Prec@5 64.844 (64.546)
Epoch: [17][2080/14090]	Time 0.759 (0.769)	Data 0.001 (0.005)	Loss 2.8568 (2.7593)	Prec@1 34.375 (34.282)	Prec@5 63.281 (64.543)
Epoch: [17][2090/14090]	Time 0.773 (0.769)	Data 0.001 (0.005)	Loss 2.8918 (2.7590)	Prec@1 29.688 (34.287)	Prec@5 63.281 (64.552)
Epoch: [17][2100/14090]	Time 0.737 (0.769)	Data 0.001 (0.005)	Loss 2.8967 (2.7591)	Prec@1 32.812 (34.294)	Prec@5 58.594 (64.552)
Epoch: [17][2110/14090]	Time 0.760 (0.769)	Data 0.001 (0.005)	Loss 2.6467 (2.7593)	Prec@1 37.500 (34.291)	Prec@5 67.188 (64.549)
Epoch: [17][2120/14090]	Time 0.738 (0.769)	Data 0.001 (0.005)	Loss 2.7393 (2.7594)	Prec@1 32.812 (34.283)	Prec@5 72.656 (64.555)
Epoch: [17][2130/14090]	Time 0.882 (0.769)	Data 0.001 (0.005)	Loss 2.8541 (2.7593)	Prec@1 36.719 (34.284)	Prec@5 61.719 (64.553)
Epoch: [17][2140/14090]	Time 0.757 (0.769)	Data 0.001 (0.005)	Loss 2.9287 (2.7594)	Prec@1 34.375 (34.279)	Prec@5 59.375 (64.553)
Epoch: [17][2150/14090]	Time 0.738 (0.769)	Data 0.001 (0.005)	Loss 2.9015 (2.7594)	Prec@1 33.594 (34.283)	Prec@5 63.281 (64.557)
Epoch: [17][2160/14090]	Time 0.755 (0.769)	Data 0.001 (0.005)	Loss 2.6524 (2.7589)	Prec@1 37.500 (34.288)	Prec@5 66.406 (64.569)
Epoch: [17][2170/14090]	Time 0.749 (0.769)	Data 0.001 (0.005)	Loss 2.7012 (2.7588)	Prec@1 32.812 (34.287)	Prec@5 64.062 (64.565)
Epoch: [17][2180/14090]	Time 0.756 (0.769)	Data 0.001 (0.005)	Loss 3.1120 (2.7592)	Prec@1 35.938 (34.281)	Prec@5 59.375 (64.551)
Epoch: [17][2190/14090]	Time 0.755 (0.769)	Data 0.001 (0.005)	Loss 2.7990 (2.7595)	Prec@1 28.125 (34.273)	Prec@5 65.625 (64.539)
Epoch: [17][2200/14090]	Time 0.857 (0.769)	Data 0.001 (0.005)	Loss 2.7832 (2.7596)	Prec@1 33.594 (34.268)	Prec@5 64.062 (64.543)
Epoch: [17][2210/14090]	Time 0.771 (0.769)	Data 0.001 (0.005)	Loss 2.5122 (2.7594)	Prec@1 39.062 (34.275)	Prec@5 71.094 (64.545)
Epoch: [17][2220/14090]	Time 0.746 (0.769)	Data 0.001 (0.004)	Loss 2.7573 (2.7595)	Prec@1 35.938 (34.280)	Prec@5 62.500 (64.543)
Epoch: [17][2230/14090]	Time 0.743 (0.769)	Data 0.001 (0.004)	Loss 2.7631 (2.7596)	Prec@1 37.500 (34.277)	Prec@5 65.625 (64.544)
Epoch: [17][2240/14090]	Time 0.723 (0.769)	Data 0.001 (0.004)	Loss 2.5198 (2.7596)	Prec@1 37.500 (34.281)	Prec@5 75.000 (64.545)
Epoch: [17][2250/14090]	Time 0.729 (0.769)	Data 0.001 (0.004)	Loss 2.8688 (2.7596)	Prec@1 32.031 (34.288)	Prec@5 60.938 (64.544)
Epoch: [17][2260/14090]	Time 0.740 (0.769)	Data 0.001 (0.004)	Loss 2.5884 (2.7597)	Prec@1 37.500 (34.292)	Prec@5 63.281 (64.540)
Epoch: [17][2270/14090]	Time 0.884 (0.769)	Data 0.001 (0.004)	Loss 2.6552 (2.7596)	Prec@1 32.031 (34.291)	Prec@5 66.406 (64.543)
Epoch: [17][2280/14090]	Time 0.753 (0.769)	Data 0.001 (0.004)	Loss 2.9253 (2.7596)	Prec@1 28.906 (34.290)	Prec@5 60.938 (64.534)
Epoch: [17][2290/14090]	Time 0.749 (0.769)	Data 0.001 (0.004)	Loss 2.7485 (2.7594)	Prec@1 30.469 (34.293)	Prec@5 70.312 (64.545)
Epoch: [17][2300/14090]	Time 0.736 (0.769)	Data 0.001 (0.004)	Loss 2.6532 (2.7594)	Prec@1 36.719 (34.296)	Prec@5 67.969 (64.544)
Epoch: [17][2310/14090]	Time 0.755 (0.769)	Data 0.001 (0.004)	Loss 2.6529 (2.7591)	Prec@1 40.625 (34.303)	Prec@5 70.312 (64.553)
Epoch: [17][2320/14090]	Time 0.746 (0.769)	Data 0.001 (0.004)	Loss 2.7117 (2.7596)	Prec@1 34.375 (34.288)	Prec@5 66.406 (64.544)
Epoch: [17][2330/14090]	Time 0.770 (0.769)	Data 0.001 (0.004)	Loss 2.7288 (2.7596)	Prec@1 39.062 (34.285)	Prec@5 62.500 (64.547)
Epoch: [17][2340/14090]	Time 0.842 (0.769)	Data 0.001 (0.004)	Loss 2.6948 (2.7596)	Prec@1 31.250 (34.279)	Prec@5 67.188 (64.547)
Epoch: [17][2350/14090]	Time 0.742 (0.769)	Data 0.001 (0.004)	Loss 2.9592 (2.7598)	Prec@1 32.031 (34.278)	Prec@5 63.281 (64.544)
Epoch: [17][2360/14090]	Time 0.742 (0.769)	Data 0.001 (0.004)	Loss 2.9612 (2.7598)	Prec@1 32.031 (34.280)	Prec@5 60.938 (64.538)
Epoch: [17][2370/14090]	Time 0.768 (0.769)	Data 0.001 (0.004)	Loss 2.8357 (2.7595)	Prec@1 26.562 (34.277)	Prec@5 64.062 (64.543)
Epoch: [17][2380/14090]	Time 0.730 (0.769)	Data 0.001 (0.004)	Loss 2.4824 (2.7591)	Prec@1 35.156 (34.280)	Prec@5 71.094 (64.553)
Epoch: [17][2390/14090]	Time 0.763 (0.769)	Data 0.001 (0.004)	Loss 2.8642 (2.7591)	Prec@1 32.812 (34.279)	Prec@5 62.500 (64.553)
Epoch: [17][2400/14090]	Time 0.759 (0.769)	Data 0.001 (0.004)	Loss 2.5619 (2.7587)	Prec@1 39.844 (34.289)	Prec@5 71.094 (64.562)
Epoch: [17][2410/14090]	Time 0.886 (0.769)	Data 0.001 (0.004)	Loss 2.9290 (2.7588)	Prec@1 37.500 (34.290)	Prec@5 58.594 (64.557)
Epoch: [17][2420/14090]	Time 0.740 (0.769)	Data 0.001 (0.004)	Loss 2.8007 (2.7589)	Prec@1 33.594 (34.296)	Prec@5 62.500 (64.554)
Epoch: [17][2430/14090]	Time 0.746 (0.769)	Data 0.001 (0.004)	Loss 2.8420 (2.7590)	Prec@1 29.688 (34.293)	Prec@5 65.625 (64.554)
Epoch: [17][2440/14090]	Time 0.786 (0.769)	Data 0.001 (0.004)	Loss 2.5305 (2.7588)	Prec@1 40.625 (34.291)	Prec@5 71.094 (64.558)
Epoch: [17][2450/14090]	Time 0.747 (0.769)	Data 0.005 (0.004)	Loss 2.6145 (2.7591)	Prec@1 37.500 (34.278)	Prec@5 69.531 (64.546)
Epoch: [17][2460/14090]	Time 0.736 (0.769)	Data 0.001 (0.004)	Loss 2.5584 (2.7589)	Prec@1 39.062 (34.286)	Prec@5 67.188 (64.555)
Epoch: [17][2470/14090]	Time 0.750 (0.769)	Data 0.001 (0.004)	Loss 2.5091 (2.7589)	Prec@1 36.719 (34.286)	Prec@5 64.062 (64.548)
Epoch: [17][2480/14090]	Time 0.842 (0.769)	Data 0.001 (0.004)	Loss 2.7352 (2.7589)	Prec@1 32.031 (34.283)	Prec@5 64.062 (64.548)
Epoch: [17][2490/14090]	Time 0.758 (0.769)	Data 0.001 (0.004)	Loss 2.7439 (2.7590)	Prec@1 36.719 (34.281)	Prec@5 67.969 (64.551)
Epoch: [17][2500/14090]	Time 0.745 (0.769)	Data 0.001 (0.004)	Loss 2.9334 (2.7590)	Prec@1 25.781 (34.280)	Prec@5 64.844 (64.548)
Epoch: [17][2510/14090]	Time 0.750 (0.769)	Data 0.001 (0.004)	Loss 2.7811 (2.7589)	Prec@1 32.812 (34.285)	Prec@5 64.844 (64.545)
Epoch: [17][2520/14090]	Time 0.733 (0.769)	Data 0.001 (0.004)	Loss 2.7734 (2.7588)	Prec@1 28.906 (34.286)	Prec@5 67.188 (64.549)
Epoch: [17][2530/14090]	Time 0.767 (0.769)	Data 0.001 (0.004)	Loss 2.6089 (2.7586)	Prec@1 39.844 (34.290)	Prec@5 65.625 (64.555)
Epoch: [17][2540/14090]	Time 0.748 (0.769)	Data 0.001 (0.004)	Loss 2.6473 (2.7587)	Prec@1 34.375 (34.286)	Prec@5 64.844 (64.552)
Epoch: [17][2550/14090]	Time 0.884 (0.769)	Data 0.001 (0.004)	Loss 3.1059 (2.7591)	Prec@1 25.781 (34.271)	Prec@5 60.156 (64.545)
Epoch: [17][2560/14090]	Time 0.757 (0.769)	Data 0.001 (0.004)	Loss 2.5719 (2.7591)	Prec@1 39.844 (34.268)	Prec@5 64.062 (64.547)
Epoch: [17][2570/14090]	Time 0.746 (0.768)	Data 0.001 (0.004)	Loss 2.8940 (2.7591)	Prec@1 35.156 (34.264)	Prec@5 60.156 (64.544)
Epoch: [17][2580/14090]	Time 0.728 (0.768)	Data 0.001 (0.004)	Loss 2.6358 (2.7592)	Prec@1 39.062 (34.265)	Prec@5 64.062 (64.539)
Epoch: [17][2590/14090]	Time 0.724 (0.768)	Data 0.001 (0.004)	Loss 3.0195 (2.7594)	Prec@1 26.562 (34.266)	Prec@5 59.375 (64.535)
Epoch: [17][2600/14090]	Time 0.733 (0.768)	Data 0.001 (0.004)	Loss 3.0109 (2.7596)	Prec@1 30.469 (34.266)	Prec@5 55.469 (64.534)
Epoch: [17][2610/14090]	Time 0.767 (0.768)	Data 0.001 (0.004)	Loss 2.8126 (2.7595)	Prec@1 31.250 (34.266)	Prec@5 64.844 (64.537)
Epoch: [17][2620/14090]	Time 0.871 (0.768)	Data 0.001 (0.004)	Loss 2.7950 (2.7593)	Prec@1 35.156 (34.273)	Prec@5 65.625 (64.539)
Epoch: [17][2630/14090]	Time 0.754 (0.768)	Data 0.001 (0.004)	Loss 2.7546 (2.7592)	Prec@1 37.500 (34.277)	Prec@5 66.406 (64.542)
Epoch: [17][2640/14090]	Time 0.756 (0.768)	Data 0.001 (0.004)	Loss 2.6285 (2.7591)	Prec@1 38.281 (34.279)	Prec@5 64.062 (64.538)
Epoch: [17][2650/14090]	Time 0.740 (0.768)	Data 0.001 (0.004)	Loss 2.7949 (2.7593)	Prec@1 36.719 (34.273)	Prec@5 69.531 (64.537)
Epoch: [17][2660/14090]	Time 0.748 (0.768)	Data 0.001 (0.004)	Loss 2.8953 (2.7592)	Prec@1 31.250 (34.271)	Prec@5 60.156 (64.539)
Epoch: [17][2670/14090]	Time 0.760 (0.768)	Data 0.001 (0.004)	Loss 2.8241 (2.7593)	Prec@1 35.938 (34.271)	Prec@5 59.375 (64.543)
Epoch: [17][2680/14090]	Time 0.781 (0.768)	Data 0.001 (0.004)	Loss 2.8798 (2.7592)	Prec@1 29.688 (34.270)	Prec@5 66.406 (64.543)
Epoch: [17][2690/14090]	Time 0.851 (0.768)	Data 0.001 (0.004)	Loss 2.8241 (2.7596)	Prec@1 31.250 (34.265)	Prec@5 61.719 (64.533)
Epoch: [17][2700/14090]	Time 0.751 (0.768)	Data 0.001 (0.004)	Loss 2.4398 (2.7595)	Prec@1 46.875 (34.270)	Prec@5 75.781 (64.540)
Epoch: [17][2710/14090]	Time 0.751 (0.768)	Data 0.001 (0.004)	Loss 2.8554 (2.7596)	Prec@1 34.375 (34.268)	Prec@5 63.281 (64.535)
Epoch: [17][2720/14090]	Time 0.743 (0.768)	Data 0.001 (0.004)	Loss 2.5722 (2.7598)	Prec@1 35.938 (34.267)	Prec@5 64.844 (64.535)
Epoch: [17][2730/14090]	Time 0.772 (0.768)	Data 0.001 (0.004)	Loss 2.4262 (2.7595)	Prec@1 37.500 (34.268)	Prec@5 74.219 (64.541)
Epoch: [17][2740/14090]	Time 0.746 (0.768)	Data 0.001 (0.004)	Loss 2.8425 (2.7594)	Prec@1 33.594 (34.272)	Prec@5 60.938 (64.543)
Epoch: [17][2750/14090]	Time 0.739 (0.768)	Data 0.001 (0.004)	Loss 2.7478 (2.7595)	Prec@1 36.719 (34.270)	Prec@5 64.062 (64.542)
Epoch: [17][2760/14090]	Time 0.840 (0.768)	Data 0.001 (0.004)	Loss 2.9891 (2.7594)	Prec@1 28.906 (34.265)	Prec@5 59.375 (64.540)
Epoch: [17][2770/14090]	Time 0.753 (0.768)	Data 0.001 (0.004)	Loss 2.8077 (2.7593)	Prec@1 31.250 (34.268)	Prec@5 67.969 (64.543)
Epoch: [17][2780/14090]	Time 0.744 (0.768)	Data 0.001 (0.004)	Loss 2.6539 (2.7595)	Prec@1 34.375 (34.264)	Prec@5 67.188 (64.535)
Epoch: [17][2790/14090]	Time 0.752 (0.768)	Data 0.001 (0.004)	Loss 2.6553 (2.7593)	Prec@1 34.375 (34.268)	Prec@5 60.156 (64.542)
Epoch: [17][2800/14090]	Time 0.746 (0.768)	Data 0.001 (0.004)	Loss 2.5981 (2.7593)	Prec@1 41.406 (34.272)	Prec@5 65.625 (64.543)
Epoch: [17][2810/14090]	Time 0.732 (0.768)	Data 0.001 (0.004)	Loss 2.6077 (2.7590)	Prec@1 37.500 (34.276)	Prec@5 62.500 (64.546)
Epoch: [17][2820/14090]	Time 0.742 (0.768)	Data 0.001 (0.004)	Loss 2.3865 (2.7586)	Prec@1 41.406 (34.279)	Prec@5 70.312 (64.554)
Epoch: [17][2830/14090]	Time 0.836 (0.768)	Data 0.001 (0.004)	Loss 2.6458 (2.7583)	Prec@1 41.406 (34.284)	Prec@5 69.531 (64.561)
Epoch: [17][2840/14090]	Time 0.781 (0.768)	Data 0.001 (0.004)	Loss 2.9472 (2.7587)	Prec@1 34.375 (34.278)	Prec@5 62.500 (64.556)
Epoch: [17][2850/14090]	Time 0.741 (0.768)	Data 0.001 (0.004)	Loss 2.9981 (2.7590)	Prec@1 30.469 (34.274)	Prec@5 60.156 (64.554)
Epoch: [17][2860/14090]	Time 0.751 (0.768)	Data 0.001 (0.004)	Loss 2.7622 (2.7588)	Prec@1 32.812 (34.279)	Prec@5 64.062 (64.558)
Epoch: [17][2870/14090]	Time 0.759 (0.768)	Data 0.001 (0.004)	Loss 3.3074 (2.7590)	Prec@1 28.125 (34.275)	Prec@5 51.562 (64.552)
Epoch: [17][2880/14090]	Time 0.738 (0.768)	Data 0.001 (0.004)	Loss 2.5748 (2.7589)	Prec@1 36.719 (34.273)	Prec@5 69.531 (64.554)
Epoch: [17][2890/14090]	Time 0.753 (0.768)	Data 0.001 (0.004)	Loss 2.5110 (2.7589)	Prec@1 42.188 (34.274)	Prec@5 71.875 (64.560)
Epoch: [17][2900/14090]	Time 0.842 (0.768)	Data 0.001 (0.004)	Loss 2.9213 (2.7589)	Prec@1 31.250 (34.271)	Prec@5 56.250 (64.557)
Epoch: [17][2910/14090]	Time 0.747 (0.768)	Data 0.001 (0.004)	Loss 2.9198 (2.7590)	Prec@1 27.344 (34.267)	Prec@5 60.938 (64.552)
Epoch: [17][2920/14090]	Time 0.759 (0.768)	Data 0.001 (0.004)	Loss 2.8531 (2.7592)	Prec@1 32.031 (34.268)	Prec@5 63.281 (64.546)
Epoch: [17][2930/14090]	Time 0.779 (0.768)	Data 0.001 (0.004)	Loss 2.8667 (2.7594)	Prec@1 31.250 (34.266)	Prec@5 63.281 (64.547)
Epoch: [17][2940/14090]	Time 0.753 (0.768)	Data 0.001 (0.004)	Loss 2.7502 (2.7594)	Prec@1 28.125 (34.261)	Prec@5 66.406 (64.550)
Epoch: [17][2950/14090]	Time 0.754 (0.768)	Data 0.001 (0.004)	Loss 2.5089 (2.7593)	Prec@1 28.125 (34.256)	Prec@5 72.656 (64.552)
Epoch: [17][2960/14090]	Time 0.742 (0.768)	Data 0.001 (0.004)	Loss 2.8518 (2.7595)	Prec@1 34.375 (34.252)	Prec@5 64.062 (64.545)
Epoch: [17][2970/14090]	Time 0.884 (0.768)	Data 0.001 (0.004)	Loss 2.4771 (2.7592)	Prec@1 36.719 (34.255)	Prec@5 70.312 (64.552)
Epoch: [17][2980/14090]	Time 0.746 (0.768)	Data 0.001 (0.004)	Loss 2.8382 (2.7593)	Prec@1 34.375 (34.250)	Prec@5 64.062 (64.549)
Epoch: [17][2990/14090]	Time 0.760 (0.768)	Data 0.001 (0.004)	Loss 2.8302 (2.7592)	Prec@1 32.812 (34.254)	Prec@5 60.156 (64.549)
Epoch: [17][3000/14090]	Time 0.749 (0.768)	Data 0.001 (0.004)	Loss 2.6586 (2.7591)	Prec@1 34.375 (34.260)	Prec@5 63.281 (64.545)
Epoch: [17][3010/14090]	Time 0.756 (0.768)	Data 0.001 (0.004)	Loss 2.9065 (2.7591)	Prec@1 28.906 (34.265)	Prec@5 63.281 (64.551)
Epoch: [17][3020/14090]	Time 0.762 (0.768)	Data 0.001 (0.004)	Loss 2.7659 (2.7593)	Prec@1 35.156 (34.265)	Prec@5 65.625 (64.548)
Epoch: [17][3030/14090]	Time 0.749 (0.768)	Data 0.001 (0.004)	Loss 2.5384 (2.7594)	Prec@1 35.938 (34.273)	Prec@5 69.531 (64.545)
Epoch: [17][3040/14090]	Time 0.847 (0.768)	Data 0.001 (0.004)	Loss 2.8567 (2.7597)	Prec@1 29.688 (34.261)	Prec@5 66.406 (64.542)
Epoch: [17][3050/14090]	Time 0.744 (0.768)	Data 0.001 (0.003)	Loss 2.8744 (2.7594)	Prec@1 37.500 (34.269)	Prec@5 65.625 (64.547)
Epoch: [17][3060/14090]	Time 0.765 (0.768)	Data 0.001 (0.003)	Loss 2.8227 (2.7591)	Prec@1 35.156 (34.277)	Prec@5 60.938 (64.555)
Epoch: [17][3070/14090]	Time 0.727 (0.768)	Data 0.001 (0.003)	Loss 2.7906 (2.7590)	Prec@1 35.938 (34.280)	Prec@5 67.188 (64.556)
Epoch: [17][3080/14090]	Time 0.736 (0.768)	Data 0.001 (0.003)	Loss 3.0739 (2.7593)	Prec@1 28.906 (34.273)	Prec@5 55.469 (64.546)
Epoch: [17][3090/14090]	Time 0.757 (0.768)	Data 0.001 (0.003)	Loss 2.9456 (2.7594)	Prec@1 32.812 (34.279)	Prec@5 64.844 (64.547)
Epoch: [17][3100/14090]	Time 0.745 (0.768)	Data 0.001 (0.003)	Loss 2.7584 (2.7597)	Prec@1 34.375 (34.273)	Prec@5 71.094 (64.545)
Epoch: [17][3110/14090]	Time 0.880 (0.768)	Data 0.001 (0.003)	Loss 3.0076 (2.7599)	Prec@1 25.781 (34.271)	Prec@5 60.938 (64.543)
Epoch: [17][3120/14090]	Time 0.765 (0.768)	Data 0.001 (0.003)	Loss 2.6566 (2.7600)	Prec@1 41.406 (34.273)	Prec@5 65.625 (64.543)
Epoch: [17][3130/14090]	Time 0.763 (0.768)	Data 0.001 (0.003)	Loss 2.6981 (2.7596)	Prec@1 37.500 (34.282)	Prec@5 61.719 (64.548)
Epoch: [17][3140/14090]	Time 0.755 (0.768)	Data 0.001 (0.003)	Loss 2.9858 (2.7595)	Prec@1 30.469 (34.285)	Prec@5 61.719 (64.551)
Epoch: [17][3150/14090]	Time 0.752 (0.768)	Data 0.001 (0.003)	Loss 2.9577 (2.7597)	Prec@1 31.250 (34.284)	Prec@5 63.281 (64.548)
Epoch: [17][3160/14090]	Time 0.741 (0.768)	Data 0.001 (0.003)	Loss 2.5828 (2.7594)	Prec@1 32.031 (34.288)	Prec@5 70.312 (64.558)
Epoch: [17][3170/14090]	Time 0.746 (0.768)	Data 0.001 (0.003)	Loss 2.9321 (2.7598)	Prec@1 34.375 (34.286)	Prec@5 57.812 (64.545)
Epoch: [17][3180/14090]	Time 0.873 (0.768)	Data 0.001 (0.003)	Loss 2.6389 (2.7596)	Prec@1 34.375 (34.295)	Prec@5 70.312 (64.551)
Epoch: [17][3190/14090]	Time 0.748 (0.768)	Data 0.001 (0.003)	Loss 2.4933 (2.7596)	Prec@1 39.062 (34.297)	Prec@5 67.188 (64.551)
Epoch: [17][3200/14090]	Time 0.756 (0.768)	Data 0.001 (0.003)	Loss 2.7200 (2.7598)	Prec@1 35.156 (34.297)	Prec@5 65.625 (64.551)
Epoch: [17][3210/14090]	Time 0.776 (0.768)	Data 0.001 (0.003)	Loss 2.6517 (2.7596)	Prec@1 37.500 (34.299)	Prec@5 61.719 (64.552)
Epoch: [17][3220/14090]	Time 0.732 (0.768)	Data 0.001 (0.003)	Loss 2.7256 (2.7593)	Prec@1 32.031 (34.303)	Prec@5 65.625 (64.560)
Epoch: [17][3230/14090]	Time 0.746 (0.768)	Data 0.001 (0.003)	Loss 2.5276 (2.7593)	Prec@1 42.188 (34.297)	Prec@5 71.875 (64.557)
Epoch: [17][3240/14090]	Time 0.786 (0.768)	Data 0.001 (0.003)	Loss 2.8868 (2.7593)	Prec@1 30.469 (34.294)	Prec@5 63.281 (64.559)
Epoch: [17][3250/14090]	Time 0.885 (0.768)	Data 0.001 (0.003)	Loss 2.8113 (2.7593)	Prec@1 28.125 (34.297)	Prec@5 64.062 (64.562)
Epoch: [17][3260/14090]	Time 0.739 (0.768)	Data 0.001 (0.003)	Loss 3.0380 (2.7596)	Prec@1 25.781 (34.290)	Prec@5 61.719 (64.553)
Epoch: [17][3270/14090]	Time 0.738 (0.768)	Data 0.001 (0.003)	Loss 2.9787 (2.7596)	Prec@1 28.906 (34.285)	Prec@5 57.812 (64.548)
Epoch: [17][3280/14090]	Time 0.762 (0.768)	Data 0.001 (0.003)	Loss 2.8384 (2.7595)	Prec@1 32.812 (34.287)	Prec@5 60.938 (64.545)
Epoch: [17][3290/14090]	Time 0.755 (0.768)	Data 0.001 (0.003)	Loss 2.6654 (2.7591)	Prec@1 40.625 (34.298)	Prec@5 64.844 (64.558)
Epoch: [17][3300/14090]	Time 0.755 (0.768)	Data 0.001 (0.003)	Loss 2.6150 (2.7591)	Prec@1 30.469 (34.297)	Prec@5 67.188 (64.557)
Epoch: [17][3310/14090]	Time 0.752 (0.768)	Data 0.001 (0.003)	Loss 2.8670 (2.7594)	Prec@1 36.719 (34.289)	Prec@5 60.938 (64.547)
Epoch: [17][3320/14090]	Time 0.860 (0.768)	Data 0.001 (0.003)	Loss 2.8739 (2.7595)	Prec@1 28.906 (34.287)	Prec@5 63.281 (64.545)
Epoch: [17][3330/14090]	Time 0.765 (0.768)	Data 0.001 (0.003)	Loss 2.7720 (2.7594)	Prec@1 35.938 (34.292)	Prec@5 61.719 (64.547)
Epoch: [17][3340/14090]	Time 0.743 (0.768)	Data 0.001 (0.003)	Loss 2.3866 (2.7594)	Prec@1 42.969 (34.294)	Prec@5 73.438 (64.546)
Epoch: [17][3350/14090]	Time 0.776 (0.768)	Data 0.001 (0.003)	Loss 2.5659 (2.7591)	Prec@1 41.406 (34.300)	Prec@5 67.969 (64.559)
Epoch: [17][3360/14090]	Time 0.744 (0.768)	Data 0.001 (0.003)	Loss 2.7130 (2.7589)	Prec@1 32.812 (34.302)	Prec@5 66.406 (64.559)
Epoch: [17][3370/14090]	Time 0.768 (0.768)	Data 0.001 (0.003)	Loss 3.0341 (2.7589)	Prec@1 28.125 (34.302)	Prec@5 59.375 (64.559)
Epoch: [17][3380/14090]	Time 0.736 (0.768)	Data 0.001 (0.003)	Loss 2.7225 (2.7591)	Prec@1 40.625 (34.298)	Prec@5 64.062 (64.557)
Epoch: [17][3390/14090]	Time 0.844 (0.768)	Data 0.001 (0.003)	Loss 2.5963 (2.7592)	Prec@1 36.719 (34.293)	Prec@5 67.969 (64.554)
Epoch: [17][3400/14090]	Time 0.747 (0.768)	Data 0.001 (0.003)	Loss 2.7495 (2.7592)	Prec@1 28.125 (34.287)	Prec@5 60.156 (64.557)
Epoch: [17][3410/14090]	Time 0.764 (0.768)	Data 0.001 (0.003)	Loss 2.8262 (2.7593)	Prec@1 28.906 (34.291)	Prec@5 61.719 (64.557)
Epoch: [17][3420/14090]	Time 0.737 (0.768)	Data 0.001 (0.003)	Loss 2.5742 (2.7594)	Prec@1 31.250 (34.290)	Prec@5 67.969 (64.554)
Epoch: [17][3430/14090]	Time 0.737 (0.768)	Data 0.001 (0.003)	Loss 2.9693 (2.7593)	Prec@1 33.594 (34.293)	Prec@5 60.156 (64.559)
Epoch: [17][3440/14090]	Time 0.766 (0.768)	Data 0.001 (0.003)	Loss 2.8452 (2.7592)	Prec@1 32.812 (34.293)	Prec@5 57.031 (64.561)
Epoch: [17][3450/14090]	Time 0.734 (0.768)	Data 0.001 (0.003)	Loss 2.8870 (2.7595)	Prec@1 28.125 (34.286)	Prec@5 60.938 (64.553)
Epoch: [17][3460/14090]	Time 0.849 (0.768)	Data 0.001 (0.003)	Loss 2.6758 (2.7597)	Prec@1 33.594 (34.287)	Prec@5 66.406 (64.553)
Epoch: [17][3470/14090]	Time 0.747 (0.768)	Data 0.001 (0.003)	Loss 2.8398 (2.7598)	Prec@1 34.375 (34.289)	Prec@5 63.281 (64.554)
Epoch: [17][3480/14090]	Time 0.783 (0.768)	Data 0.001 (0.003)	Loss 2.7255 (2.7597)	Prec@1 37.500 (34.291)	Prec@5 63.281 (64.555)
Epoch: [17][3490/14090]	Time 0.760 (0.768)	Data 0.001 (0.003)	Loss 2.8302 (2.7598)	Prec@1 30.469 (34.287)	Prec@5 64.062 (64.555)
Epoch: [17][3500/14090]	Time 0.757 (0.768)	Data 0.001 (0.003)	Loss 2.9661 (2.7598)	Prec@1 28.125 (34.292)	Prec@5 64.062 (64.555)
Epoch: [17][3510/14090]	Time 0.774 (0.768)	Data 0.001 (0.003)	Loss 2.4982 (2.7597)	Prec@1 44.531 (34.293)	Prec@5 73.438 (64.557)
Epoch: [17][3520/14090]	Time 0.754 (0.768)	Data 0.001 (0.003)	Loss 2.6968 (2.7597)	Prec@1 33.594 (34.287)	Prec@5 68.750 (64.557)
Epoch: [17][3530/14090]	Time 0.871 (0.768)	Data 0.001 (0.003)	Loss 2.9322 (2.7599)	Prec@1 32.031 (34.282)	Prec@5 61.719 (64.551)
Epoch: [17][3540/14090]	Time 0.747 (0.768)	Data 0.001 (0.003)	Loss 2.8963 (2.7600)	Prec@1 32.031 (34.283)	Prec@5 61.719 (64.557)
Epoch: [17][3550/14090]	Time 0.743 (0.768)	Data 0.001 (0.003)	Loss 2.8617 (2.7602)	Prec@1 33.594 (34.280)	Prec@5 62.500 (64.552)
Epoch: [17][3560/14090]	Time 0.761 (0.768)	Data 0.001 (0.003)	Loss 2.7060 (2.7603)	Prec@1 34.375 (34.280)	Prec@5 71.094 (64.551)
Epoch: [17][3570/14090]	Time 0.747 (0.768)	Data 0.001 (0.003)	Loss 2.7562 (2.7603)	Prec@1 38.281 (34.282)	Prec@5 61.719 (64.550)
Epoch: [17][3580/14090]	Time 0.759 (0.768)	Data 0.001 (0.003)	Loss 2.6950 (2.7603)	Prec@1 30.469 (34.286)	Prec@5 67.188 (64.550)
Epoch: [17][3590/14090]	Time 0.730 (0.768)	Data 0.001 (0.003)	Loss 2.6976 (2.7601)	Prec@1 35.156 (34.287)	Prec@5 68.750 (64.555)
Epoch: [17][3600/14090]	Time 0.854 (0.768)	Data 0.001 (0.003)	Loss 3.1209 (2.7603)	Prec@1 28.125 (34.284)	Prec@5 55.469 (64.549)
Epoch: [17][3610/14090]	Time 0.741 (0.768)	Data 0.001 (0.003)	Loss 2.8530 (2.7602)	Prec@1 37.500 (34.288)	Prec@5 64.062 (64.555)
Epoch: [17][3620/14090]	Time 0.731 (0.768)	Data 0.001 (0.003)	Loss 2.6877 (2.7602)	Prec@1 31.250 (34.284)	Prec@5 66.406 (64.558)
Epoch: [17][3630/14090]	Time 0.751 (0.768)	Data 0.001 (0.003)	Loss 2.7306 (2.7600)	Prec@1 31.250 (34.285)	Prec@5 67.188 (64.564)
Epoch: [17][3640/14090]	Time 0.752 (0.768)	Data 0.001 (0.003)	Loss 2.9283 (2.7600)	Prec@1 30.469 (34.286)	Prec@5 62.500 (64.564)
Epoch: [17][3650/14090]	Time 0.741 (0.768)	Data 0.001 (0.003)	Loss 3.2346 (2.7600)	Prec@1 26.562 (34.284)	Prec@5 56.250 (64.566)
Epoch: [17][3660/14090]	Time 0.750 (0.768)	Data 0.001 (0.003)	Loss 2.7168 (2.7600)	Prec@1 38.281 (34.285)	Prec@5 69.531 (64.567)
Epoch: [17][3670/14090]	Time 0.846 (0.768)	Data 0.001 (0.003)	Loss 2.7429 (2.7601)	Prec@1 35.938 (34.286)	Prec@5 69.531 (64.565)
Epoch: [17][3680/14090]	Time 0.736 (0.768)	Data 0.001 (0.003)	Loss 2.6362 (2.7600)	Prec@1 38.281 (34.288)	Prec@5 71.875 (64.567)
Epoch: [17][3690/14090]	Time 0.769 (0.768)	Data 0.001 (0.003)	Loss 2.6456 (2.7598)	Prec@1 33.594 (34.289)	Prec@5 63.281 (64.570)
Epoch: [17][3700/14090]	Time 0.735 (0.768)	Data 0.001 (0.003)	Loss 2.7032 (2.7597)	Prec@1 38.281 (34.291)	Prec@5 60.156 (64.575)
Epoch: [17][3710/14090]	Time 0.726 (0.768)	Data 0.001 (0.003)	Loss 2.5441 (2.7595)	Prec@1 37.500 (34.295)	Prec@5 67.969 (64.577)
Epoch: [17][3720/14090]	Time 0.740 (0.768)	Data 0.001 (0.003)	Loss 2.9220 (2.7596)	Prec@1 32.812 (34.293)	Prec@5 64.062 (64.575)
Epoch: [17][3730/14090]	Time 0.751 (0.767)	Data 0.001 (0.003)	Loss 2.9222 (2.7596)	Prec@1 33.594 (34.292)	Prec@5 61.719 (64.577)
Epoch: [17][3740/14090]	Time 0.824 (0.767)	Data 0.001 (0.003)	Loss 2.6681 (2.7595)	Prec@1 38.281 (34.294)	Prec@5 65.625 (64.579)
Epoch: [17][3750/14090]	Time 0.726 (0.767)	Data 0.001 (0.003)	Loss 2.7348 (2.7594)	Prec@1 35.938 (34.292)	Prec@5 60.938 (64.582)
Epoch: [17][3760/14090]	Time 0.746 (0.767)	Data 0.001 (0.003)	Loss 2.7678 (2.7596)	Prec@1 30.469 (34.290)	Prec@5 59.375 (64.577)
Epoch: [17][3770/14090]	Time 0.751 (0.767)	Data 0.001 (0.003)	Loss 2.5476 (2.7595)	Prec@1 44.531 (34.291)	Prec@5 73.438 (64.578)
Epoch: [17][3780/14090]	Time 0.748 (0.767)	Data 0.001 (0.003)	Loss 2.5493 (2.7597)	Prec@1 40.625 (34.288)	Prec@5 69.531 (64.575)
Epoch: [17][3790/14090]	Time 0.760 (0.767)	Data 0.001 (0.003)	Loss 2.9206 (2.7599)	Prec@1 30.469 (34.284)	Prec@5 61.719 (64.568)
Epoch: [17][3800/14090]	Time 0.759 (0.767)	Data 0.001 (0.003)	Loss 2.7177 (2.7599)	Prec@1 32.812 (34.284)	Prec@5 65.625 (64.569)
Epoch: [17][3810/14090]	Time 0.870 (0.767)	Data 0.001 (0.003)	Loss 2.7263 (2.7599)	Prec@1 35.156 (34.289)	Prec@5 64.062 (64.570)
Epoch: [17][3820/14090]	Time 0.751 (0.767)	Data 0.001 (0.003)	Loss 2.8398 (2.7601)	Prec@1 35.156 (34.285)	Prec@5 64.844 (64.568)
Epoch: [17][3830/14090]	Time 0.755 (0.767)	Data 0.001 (0.003)	Loss 3.0969 (2.7601)	Prec@1 26.562 (34.282)	Prec@5 53.906 (64.568)
Epoch: [17][3840/14090]	Time 0.751 (0.767)	Data 0.001 (0.003)	Loss 2.6805 (2.7601)	Prec@1 37.500 (34.286)	Prec@5 64.844 (64.569)
Epoch: [17][3850/14090]	Time 0.760 (0.767)	Data 0.001 (0.003)	Loss 2.6183 (2.7600)	Prec@1 36.719 (34.290)	Prec@5 71.094 (64.570)
Epoch: [17][3860/14090]	Time 0.756 (0.767)	Data 0.001 (0.003)	Loss 2.8785 (2.7602)	Prec@1 33.594 (34.288)	Prec@5 60.938 (64.565)
Epoch: [17][3870/14090]	Time 0.748 (0.767)	Data 0.001 (0.003)	Loss 2.8179 (2.7602)	Prec@1 31.250 (34.291)	Prec@5 62.500 (64.567)
Epoch: [17][3880/14090]	Time 0.868 (0.767)	Data 0.001 (0.003)	Loss 2.6582 (2.7604)	Prec@1 33.594 (34.288)	Prec@5 67.188 (64.564)
Epoch: [17][3890/14090]	Time 0.773 (0.767)	Data 0.001 (0.003)	Loss 2.9551 (2.7604)	Prec@1 31.250 (34.286)	Prec@5 63.281 (64.567)
Epoch: [17][3900/14090]	Time 0.731 (0.767)	Data 0.001 (0.003)	Loss 2.6623 (2.7605)	Prec@1 35.938 (34.284)	Prec@5 66.406 (64.566)
Epoch: [17][3910/14090]	Time 0.750 (0.767)	Data 0.001 (0.003)	Loss 2.6350 (2.7604)	Prec@1 33.594 (34.285)	Prec@5 64.844 (64.567)
Epoch: [17][3920/14090]	Time 0.746 (0.767)	Data 0.001 (0.003)	Loss 2.8751 (2.7604)	Prec@1 28.906 (34.288)	Prec@5 62.500 (64.569)
Epoch: [17][3930/14090]	Time 0.747 (0.767)	Data 0.001 (0.003)	Loss 2.8279 (2.7605)	Prec@1 35.156 (34.288)	Prec@5 68.750 (64.568)
Epoch: [17][3940/14090]	Time 0.731 (0.767)	Data 0.001 (0.003)	Loss 2.7070 (2.7602)	Prec@1 32.812 (34.290)	Prec@5 63.281 (64.571)
Epoch: [17][3950/14090]	Time 0.860 (0.767)	Data 0.001 (0.003)	Loss 2.9350 (2.7603)	Prec@1 33.594 (34.286)	Prec@5 61.719 (64.569)
Epoch: [17][3960/14090]	Time 0.742 (0.767)	Data 0.001 (0.003)	Loss 2.6226 (2.7604)	Prec@1 35.938 (34.286)	Prec@5 61.719 (64.564)
Epoch: [17][3970/14090]	Time 0.756 (0.767)	Data 0.001 (0.003)	Loss 2.6092 (2.7602)	Prec@1 33.594 (34.288)	Prec@5 69.531 (64.569)
Epoch: [17][3980/14090]	Time 0.751 (0.767)	Data 0.001 (0.003)	Loss 2.6413 (2.7602)	Prec@1 40.625 (34.287)	Prec@5 66.406 (64.571)
Epoch: [17][3990/14090]	Time 0.735 (0.767)	Data 0.001 (0.003)	Loss 2.6428 (2.7602)	Prec@1 37.500 (34.289)	Prec@5 65.625 (64.570)
Epoch: [17][4000/14090]	Time 0.761 (0.767)	Data 0.001 (0.003)	Loss 2.9136 (2.7601)	Prec@1 28.906 (34.288)	Prec@5 59.375 (64.567)
Epoch: [17][4010/14090]	Time 0.755 (0.767)	Data 0.001 (0.003)	Loss 2.8114 (2.7600)	Prec@1 32.031 (34.291)	Prec@5 60.938 (64.568)
Epoch: [17][4020/14090]	Time 0.869 (0.767)	Data 0.001 (0.003)	Loss 2.8942 (2.7603)	Prec@1 28.906 (34.288)	Prec@5 58.594 (64.562)
Epoch: [17][4030/14090]	Time 0.730 (0.767)	Data 0.001 (0.003)	Loss 2.9485 (2.7601)	Prec@1 28.906 (34.292)	Prec@5 57.812 (64.563)
Epoch: [17][4040/14090]	Time 0.750 (0.767)	Data 0.001 (0.003)	Loss 2.5126 (2.7601)	Prec@1 39.062 (34.292)	Prec@5 67.188 (64.563)
Epoch: [17][4050/14090]	Time 0.765 (0.767)	Data 0.001 (0.003)	Loss 2.5981 (2.7600)	Prec@1 33.594 (34.293)	Prec@5 69.531 (64.563)
Epoch: [17][4060/14090]	Time 0.766 (0.767)	Data 0.001 (0.003)	Loss 2.6046 (2.7599)	Prec@1 39.844 (34.296)	Prec@5 63.281 (64.565)
Epoch: [17][4070/14090]	Time 0.762 (0.767)	Data 0.001 (0.003)	Loss 2.7930 (2.7600)	Prec@1 34.375 (34.293)	Prec@5 64.062 (64.562)
Epoch: [17][4080/14090]	Time 0.756 (0.767)	Data 0.001 (0.003)	Loss 2.9051 (2.7601)	Prec@1 33.594 (34.289)	Prec@5 64.844 (64.562)
Epoch: [17][4090/14090]	Time 0.868 (0.767)	Data 0.001 (0.003)	Loss 2.9013 (2.7602)	Prec@1 23.438 (34.282)	Prec@5 57.812 (64.557)
Epoch: [17][4100/14090]	Time 0.753 (0.767)	Data 0.001 (0.003)	Loss 2.7228 (2.7603)	Prec@1 35.156 (34.281)	Prec@5 64.844 (64.559)
Epoch: [17][4110/14090]	Time 0.730 (0.767)	Data 0.001 (0.003)	Loss 2.5516 (2.7601)	Prec@1 39.062 (34.285)	Prec@5 68.750 (64.565)
Epoch: [17][4120/14090]	Time 0.763 (0.767)	Data 0.001 (0.003)	Loss 2.7843 (2.7601)	Prec@1 34.375 (34.283)	Prec@5 64.844 (64.568)
Epoch: [17][4130/14090]	Time 0.763 (0.767)	Data 0.001 (0.003)	Loss 2.7072 (2.7601)	Prec@1 35.156 (34.285)	Prec@5 67.188 (64.567)
Epoch: [17][4140/14090]	Time 0.729 (0.767)	Data 0.001 (0.003)	Loss 2.4061 (2.7600)	Prec@1 36.719 (34.286)	Prec@5 75.000 (64.569)
Epoch: [17][4150/14090]	Time 0.753 (0.767)	Data 0.001 (0.003)	Loss 2.7133 (2.7600)	Prec@1 32.812 (34.287)	Prec@5 64.844 (64.565)
Epoch: [17][4160/14090]	Time 0.841 (0.767)	Data 0.001 (0.003)	Loss 2.4869 (2.7597)	Prec@1 35.156 (34.290)	Prec@5 73.438 (64.571)
Epoch: [17][4170/14090]	Time 0.730 (0.767)	Data 0.001 (0.003)	Loss 2.8468 (2.7597)	Prec@1 28.906 (34.286)	Prec@5 62.500 (64.572)
Epoch: [17][4180/14090]	Time 0.751 (0.767)	Data 0.001 (0.003)	Loss 2.3728 (2.7596)	Prec@1 43.750 (34.290)	Prec@5 71.875 (64.576)
Epoch: [17][4190/14090]	Time 0.743 (0.767)	Data 0.001 (0.003)	Loss 2.5722 (2.7596)	Prec@1 39.062 (34.292)	Prec@5 67.969 (64.578)
Epoch: [17][4200/14090]	Time 0.754 (0.767)	Data 0.001 (0.003)	Loss 2.5836 (2.7593)	Prec@1 35.938 (34.297)	Prec@5 70.312 (64.584)
Epoch: [17][4210/14090]	Time 0.763 (0.767)	Data 0.001 (0.003)	Loss 2.5283 (2.7592)	Prec@1 36.719 (34.297)	Prec@5 65.625 (64.584)
Epoch: [17][4220/14090]	Time 0.722 (0.767)	Data 0.001 (0.003)	Loss 2.7033 (2.7593)	Prec@1 31.250 (34.297)	Prec@5 65.625 (64.580)
Epoch: [17][4230/14090]	Time 0.868 (0.767)	Data 0.001 (0.003)	Loss 2.9866 (2.7591)	Prec@1 33.594 (34.303)	Prec@5 59.375 (64.583)
Epoch: [17][4240/14090]	Time 0.755 (0.767)	Data 0.001 (0.003)	Loss 2.8302 (2.7592)	Prec@1 37.500 (34.304)	Prec@5 64.844 (64.578)
Epoch: [17][4250/14090]	Time 0.744 (0.767)	Data 0.001 (0.003)	Loss 2.9284 (2.7593)	Prec@1 29.688 (34.300)	Prec@5 64.062 (64.579)
Epoch: [17][4260/14090]	Time 0.750 (0.767)	Data 0.001 (0.003)	Loss 2.9389 (2.7592)	Prec@1 32.031 (34.303)	Prec@5 57.812 (64.582)
Epoch: [17][4270/14090]	Time 0.741 (0.767)	Data 0.001 (0.003)	Loss 2.3819 (2.7591)	Prec@1 37.500 (34.305)	Prec@5 71.875 (64.579)
Epoch: [17][4280/14090]	Time 0.729 (0.767)	Data 0.001 (0.003)	Loss 2.5471 (2.7590)	Prec@1 42.188 (34.310)	Prec@5 66.406 (64.577)
Epoch: [17][4290/14090]	Time 0.757 (0.767)	Data 0.001 (0.003)	Loss 2.7658 (2.7589)	Prec@1 32.031 (34.312)	Prec@5 63.281 (64.578)
Epoch: [17][4300/14090]	Time 0.845 (0.767)	Data 0.001 (0.003)	Loss 2.6720 (2.7590)	Prec@1 34.375 (34.307)	Prec@5 62.500 (64.576)
Epoch: [17][4310/14090]	Time 0.764 (0.767)	Data 0.001 (0.003)	Loss 2.9198 (2.7591)	Prec@1 26.562 (34.303)	Prec@5 60.938 (64.575)
Epoch: [17][4320/14090]	Time 0.745 (0.767)	Data 0.001 (0.003)	Loss 2.7443 (2.7589)	Prec@1 33.594 (34.306)	Prec@5 64.062 (64.580)
Epoch: [17][4330/14090]	Time 0.751 (0.767)	Data 0.001 (0.003)	Loss 2.7248 (2.7589)	Prec@1 35.156 (34.308)	Prec@5 60.156 (64.580)
Epoch: [17][4340/14090]	Time 0.751 (0.767)	Data 0.001 (0.003)	Loss 2.8071 (2.7591)	Prec@1 28.906 (34.306)	Prec@5 60.938 (64.576)
Epoch: [17][4350/14090]	Time 0.767 (0.767)	Data 0.001 (0.003)	Loss 2.6936 (2.7589)	Prec@1 36.719 (34.305)	Prec@5 65.625 (64.578)
Epoch: [17][4360/14090]	Time 0.745 (0.767)	Data 0.001 (0.003)	Loss 2.6031 (2.7590)	Prec@1 39.844 (34.308)	Prec@5 69.531 (64.578)
Epoch: [17][4370/14090]	Time 0.883 (0.767)	Data 0.001 (0.003)	Loss 2.9644 (2.7590)	Prec@1 28.906 (34.302)	Prec@5 60.938 (64.578)
Epoch: [17][4380/14090]	Time 0.742 (0.767)	Data 0.001 (0.003)	Loss 2.9647 (2.7592)	Prec@1 32.812 (34.297)	Prec@5 60.156 (64.576)
Epoch: [17][4390/14090]	Time 0.724 (0.767)	Data 0.001 (0.003)	Loss 2.7443 (2.7594)	Prec@1 35.938 (34.291)	Prec@5 65.625 (64.575)
Epoch: [17][4400/14090]	Time 0.755 (0.767)	Data 0.001 (0.003)	Loss 2.9551 (2.7593)	Prec@1 28.906 (34.289)	Prec@5 64.844 (64.576)
Epoch: [17][4410/14090]	Time 0.768 (0.767)	Data 0.001 (0.003)	Loss 2.7977 (2.7593)	Prec@1 27.344 (34.291)	Prec@5 67.969 (64.577)
Epoch: [17][4420/14090]	Time 0.748 (0.767)	Data 0.001 (0.003)	Loss 2.6948 (2.7593)	Prec@1 34.375 (34.286)	Prec@5 66.406 (64.578)
Epoch: [17][4430/14090]	Time 0.736 (0.767)	Data 0.001 (0.003)	Loss 2.6297 (2.7591)	Prec@1 37.500 (34.291)	Prec@5 70.312 (64.585)
Epoch: [17][4440/14090]	Time 0.846 (0.767)	Data 0.001 (0.003)	Loss 2.5458 (2.7590)	Prec@1 35.938 (34.293)	Prec@5 73.438 (64.589)
Epoch: [17][4450/14090]	Time 0.756 (0.767)	Data 0.001 (0.003)	Loss 2.8849 (2.7591)	Prec@1 34.375 (34.293)	Prec@5 60.938 (64.586)
Epoch: [17][4460/14090]	Time 0.768 (0.767)	Data 0.001 (0.003)	Loss 2.7880 (2.7592)	Prec@1 31.250 (34.294)	Prec@5 60.156 (64.582)
Epoch: [17][4470/14090]	Time 0.740 (0.767)	Data 0.001 (0.003)	Loss 2.6413 (2.7590)	Prec@1 30.469 (34.298)	Prec@5 67.188 (64.584)
Epoch: [17][4480/14090]	Time 0.753 (0.767)	Data 0.001 (0.003)	Loss 2.7999 (2.7592)	Prec@1 28.125 (34.294)	Prec@5 65.625 (64.582)
Epoch: [17][4490/14090]	Time 0.752 (0.767)	Data 0.001 (0.003)	Loss 2.5730 (2.7592)	Prec@1 41.406 (34.297)	Prec@5 67.188 (64.582)
Epoch: [17][4500/14090]	Time 0.732 (0.767)	Data 0.001 (0.003)	Loss 2.7925 (2.7591)	Prec@1 28.906 (34.303)	Prec@5 64.062 (64.584)
Epoch: [17][4510/14090]	Time 0.825 (0.767)	Data 0.001 (0.003)	Loss 2.8114 (2.7588)	Prec@1 35.938 (34.312)	Prec@5 65.625 (64.589)
Epoch: [17][4520/14090]	Time 0.753 (0.767)	Data 0.001 (0.003)	Loss 2.7838 (2.7588)	Prec@1 31.250 (34.309)	Prec@5 63.281 (64.592)
Epoch: [17][4530/14090]	Time 0.768 (0.767)	Data 0.001 (0.003)	Loss 2.7803 (2.7589)	Prec@1 34.375 (34.308)	Prec@5 62.500 (64.587)
Epoch: [17][4540/14090]	Time 0.755 (0.767)	Data 0.001 (0.003)	Loss 2.7394 (2.7589)	Prec@1 34.375 (34.308)	Prec@5 63.281 (64.590)
Epoch: [17][4550/14090]	Time 0.757 (0.767)	Data 0.001 (0.003)	Loss 2.8972 (2.7589)	Prec@1 33.594 (34.309)	Prec@5 61.719 (64.590)
Epoch: [17][4560/14090]	Time 0.728 (0.767)	Data 0.001 (0.003)	Loss 2.8751 (2.7589)	Prec@1 32.812 (34.311)	Prec@5 63.281 (64.591)
Epoch: [17][4570/14090]	Time 0.776 (0.767)	Data 0.001 (0.003)	Loss 2.7809 (2.7590)	Prec@1 33.594 (34.311)	Prec@5 63.281 (64.589)
Epoch: [17][4580/14090]	Time 0.822 (0.767)	Data 0.001 (0.003)	Loss 2.7260 (2.7589)	Prec@1 29.688 (34.317)	Prec@5 64.062 (64.593)
Epoch: [17][4590/14090]	Time 0.740 (0.767)	Data 0.001 (0.003)	Loss 2.6709 (2.7589)	Prec@1 36.719 (34.313)	Prec@5 71.094 (64.594)
Epoch: [17][4600/14090]	Time 0.750 (0.767)	Data 0.001 (0.003)	Loss 2.8571 (2.7590)	Prec@1 34.375 (34.309)	Prec@5 58.594 (64.592)
Epoch: [17][4610/14090]	Time 0.776 (0.767)	Data 0.001 (0.003)	Loss 2.8640 (2.7591)	Prec@1 30.469 (34.309)	Prec@5 62.500 (64.587)
Epoch: [17][4620/14090]	Time 0.743 (0.767)	Data 0.001 (0.003)	Loss 2.7231 (2.7591)	Prec@1 33.594 (34.308)	Prec@5 63.281 (64.587)
Epoch: [17][4630/14090]	Time 0.725 (0.767)	Data 0.001 (0.003)	Loss 2.8030 (2.7591)	Prec@1 28.125 (34.307)	Prec@5 60.156 (64.586)
Epoch: [17][4640/14090]	Time 0.750 (0.767)	Data 0.001 (0.003)	Loss 2.6778 (2.7590)	Prec@1 37.500 (34.308)	Prec@5 64.062 (64.589)
Epoch: [17][4650/14090]	Time 0.861 (0.767)	Data 0.001 (0.003)	Loss 2.6638 (2.7588)	Prec@1 35.938 (34.310)	Prec@5 62.500 (64.590)
Epoch: [17][4660/14090]	Time 0.780 (0.767)	Data 0.001 (0.003)	Loss 2.9411 (2.7589)	Prec@1 32.812 (34.311)	Prec@5 60.938 (64.587)
Epoch: [17][4670/14090]	Time 0.728 (0.767)	Data 0.001 (0.003)	Loss 2.7029 (2.7588)	Prec@1 38.281 (34.311)	Prec@5 67.969 (64.590)
Epoch: [17][4680/14090]	Time 0.745 (0.767)	Data 0.001 (0.003)	Loss 2.7277 (2.7587)	Prec@1 30.469 (34.314)	Prec@5 66.406 (64.589)
Epoch: [17][4690/14090]	Time 0.760 (0.767)	Data 0.001 (0.003)	Loss 2.6182 (2.7586)	Prec@1 36.719 (34.315)	Prec@5 66.406 (64.591)
Epoch: [17][4700/14090]	Time 0.760 (0.767)	Data 0.001 (0.003)	Loss 2.5767 (2.7587)	Prec@1 38.281 (34.313)	Prec@5 70.312 (64.589)
Epoch: [17][4710/14090]	Time 0.739 (0.767)	Data 0.001 (0.003)	Loss 2.7479 (2.7589)	Prec@1 35.156 (34.311)	Prec@5 62.500 (64.586)
Epoch: [17][4720/14090]	Time 0.838 (0.767)	Data 0.001 (0.003)	Loss 3.0492 (2.7589)	Prec@1 32.031 (34.310)	Prec@5 63.281 (64.587)
Epoch: [17][4730/14090]	Time 0.761 (0.767)	Data 0.001 (0.003)	Loss 2.8129 (2.7589)	Prec@1 38.281 (34.311)	Prec@5 64.062 (64.587)
Epoch: [17][4740/14090]	Time 0.732 (0.767)	Data 0.001 (0.003)	Loss 2.7329 (2.7587)	Prec@1 33.594 (34.316)	Prec@5 63.281 (64.589)
Epoch: [17][4750/14090]	Time 0.727 (0.767)	Data 0.001 (0.003)	Loss 2.6975 (2.7585)	Prec@1 35.938 (34.318)	Prec@5 64.062 (64.593)
Epoch: [17][4760/14090]	Time 0.730 (0.767)	Data 0.001 (0.003)	Loss 2.9125 (2.7585)	Prec@1 27.344 (34.316)	Prec@5 64.844 (64.592)
Epoch: [17][4770/14090]	Time 0.779 (0.767)	Data 0.001 (0.003)	Loss 2.8949 (2.7584)	Prec@1 37.500 (34.318)	Prec@5 57.812 (64.593)
Epoch: [17][4780/14090]	Time 0.744 (0.767)	Data 0.001 (0.003)	Loss 2.6973 (2.7586)	Prec@1 36.719 (34.314)	Prec@5 65.625 (64.589)
Epoch: [17][4790/14090]	Time 0.859 (0.767)	Data 0.001 (0.003)	Loss 3.0730 (2.7587)	Prec@1 26.562 (34.313)	Prec@5 54.688 (64.587)
Epoch: [17][4800/14090]	Time 0.768 (0.767)	Data 0.001 (0.003)	Loss 2.6883 (2.7588)	Prec@1 36.719 (34.310)	Prec@5 64.062 (64.583)
Epoch: [17][4810/14090]	Time 0.742 (0.767)	Data 0.001 (0.003)	Loss 2.8261 (2.7586)	Prec@1 33.594 (34.313)	Prec@5 60.938 (64.585)
Epoch: [17][4820/14090]	Time 0.771 (0.767)	Data 0.001 (0.003)	Loss 3.1834 (2.7590)	Prec@1 23.438 (34.309)	Prec@5 55.469 (64.577)
Epoch: [17][4830/14090]	Time 0.739 (0.767)	Data 0.001 (0.003)	Loss 2.6968 (2.7591)	Prec@1 35.156 (34.308)	Prec@5 67.188 (64.575)
Epoch: [17][4840/14090]	Time 0.763 (0.767)	Data 0.001 (0.002)	Loss 2.6658 (2.7592)	Prec@1 32.812 (34.309)	Prec@5 63.281 (64.574)
Epoch: [17][4850/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 2.8202 (2.7590)	Prec@1 34.375 (34.314)	Prec@5 63.281 (64.575)
Epoch: [17][4860/14090]	Time 0.833 (0.767)	Data 0.001 (0.002)	Loss 2.4453 (2.7588)	Prec@1 42.969 (34.315)	Prec@5 67.188 (64.582)
Epoch: [17][4870/14090]	Time 0.724 (0.767)	Data 0.001 (0.002)	Loss 2.5755 (2.7587)	Prec@1 38.281 (34.318)	Prec@5 70.312 (64.584)
Epoch: [17][4880/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 2.4834 (2.7588)	Prec@1 39.844 (34.316)	Prec@5 75.781 (64.584)
Epoch: [17][4890/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 2.7706 (2.7588)	Prec@1 32.812 (34.318)	Prec@5 67.969 (64.587)
Epoch: [17][4900/14090]	Time 0.726 (0.767)	Data 0.001 (0.002)	Loss 2.8742 (2.7588)	Prec@1 37.500 (34.321)	Prec@5 64.844 (64.586)
Epoch: [17][4910/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 2.6802 (2.7587)	Prec@1 32.031 (34.324)	Prec@5 72.656 (64.590)
Epoch: [17][4920/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 2.7389 (2.7588)	Prec@1 35.156 (34.323)	Prec@5 66.406 (64.590)
Epoch: [17][4930/14090]	Time 0.849 (0.767)	Data 0.001 (0.002)	Loss 2.8795 (2.7589)	Prec@1 32.031 (34.322)	Prec@5 60.938 (64.587)
Epoch: [17][4940/14090]	Time 0.773 (0.767)	Data 0.001 (0.002)	Loss 2.8624 (2.7590)	Prec@1 31.250 (34.319)	Prec@5 64.844 (64.586)
Epoch: [17][4950/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 2.5551 (2.7588)	Prec@1 42.188 (34.326)	Prec@5 71.094 (64.590)
Epoch: [17][4960/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 2.6105 (2.7588)	Prec@1 39.844 (34.326)	Prec@5 64.062 (64.591)
Epoch: [17][4970/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 2.9886 (2.7588)	Prec@1 28.125 (34.324)	Prec@5 57.812 (64.590)
Epoch: [17][4980/14090]	Time 0.773 (0.767)	Data 0.001 (0.002)	Loss 2.3866 (2.7588)	Prec@1 38.281 (34.321)	Prec@5 74.219 (64.589)
Epoch: [17][4990/14090]	Time 0.760 (0.767)	Data 0.001 (0.002)	Loss 3.0323 (2.7588)	Prec@1 29.688 (34.324)	Prec@5 57.812 (64.594)
Epoch: [17][5000/14090]	Time 0.821 (0.767)	Data 0.001 (0.002)	Loss 2.7196 (2.7588)	Prec@1 39.844 (34.328)	Prec@5 66.406 (64.591)
Epoch: [17][5010/14090]	Time 0.763 (0.767)	Data 0.001 (0.002)	Loss 2.9675 (2.7590)	Prec@1 33.594 (34.324)	Prec@5 54.688 (64.586)
Epoch: [17][5020/14090]	Time 0.760 (0.767)	Data 0.001 (0.002)	Loss 2.7350 (2.7590)	Prec@1 32.031 (34.323)	Prec@5 63.281 (64.590)
Epoch: [17][5030/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 2.4734 (2.7589)	Prec@1 37.500 (34.324)	Prec@5 70.312 (64.592)
Epoch: [17][5040/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 2.6927 (2.7590)	Prec@1 37.500 (34.322)	Prec@5 65.625 (64.589)
Epoch: [17][5050/14090]	Time 0.769 (0.767)	Data 0.001 (0.002)	Loss 2.8856 (2.7591)	Prec@1 33.594 (34.321)	Prec@5 60.938 (64.588)
Epoch: [17][5060/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.6618 (2.7592)	Prec@1 36.719 (34.322)	Prec@5 67.188 (64.583)
Epoch: [17][5070/14090]	Time 0.850 (0.767)	Data 0.001 (0.002)	Loss 2.6776 (2.7593)	Prec@1 38.281 (34.322)	Prec@5 64.062 (64.582)
Epoch: [17][5080/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 2.9575 (2.7594)	Prec@1 26.562 (34.319)	Prec@5 60.156 (64.581)
Epoch: [17][5090/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 2.6732 (2.7594)	Prec@1 41.406 (34.315)	Prec@5 67.188 (64.580)
Epoch: [17][5100/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 2.5554 (2.7594)	Prec@1 39.844 (34.317)	Prec@5 64.844 (64.576)
Epoch: [17][5110/14090]	Time 0.774 (0.767)	Data 0.001 (0.002)	Loss 2.8578 (2.7595)	Prec@1 34.375 (34.318)	Prec@5 64.844 (64.575)
Epoch: [17][5120/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 2.5539 (2.7595)	Prec@1 35.156 (34.314)	Prec@5 68.750 (64.575)
Epoch: [17][5130/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 2.8263 (2.7598)	Prec@1 29.688 (34.311)	Prec@5 60.156 (64.568)
Epoch: [17][5140/14090]	Time 0.881 (0.767)	Data 0.001 (0.002)	Loss 2.7981 (2.7598)	Prec@1 35.938 (34.312)	Prec@5 60.938 (64.567)
Epoch: [17][5150/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 2.9224 (2.7596)	Prec@1 29.688 (34.317)	Prec@5 62.500 (64.573)
Epoch: [17][5160/14090]	Time 0.764 (0.767)	Data 0.001 (0.002)	Loss 2.7089 (2.7596)	Prec@1 34.375 (34.320)	Prec@5 66.406 (64.573)
Epoch: [17][5170/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 2.8802 (2.7595)	Prec@1 34.375 (34.319)	Prec@5 60.156 (64.573)
Epoch: [17][5180/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 2.6602 (2.7595)	Prec@1 33.594 (34.314)	Prec@5 68.750 (64.572)
Epoch: [17][5190/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 2.5535 (2.7593)	Prec@1 34.375 (34.317)	Prec@5 72.656 (64.575)
Epoch: [17][5200/14090]	Time 0.777 (0.767)	Data 0.001 (0.002)	Loss 2.4981 (2.7593)	Prec@1 38.281 (34.317)	Prec@5 70.312 (64.575)
Epoch: [17][5210/14090]	Time 0.857 (0.767)	Data 0.001 (0.002)	Loss 2.7762 (2.7590)	Prec@1 38.281 (34.324)	Prec@5 67.188 (64.580)
Epoch: [17][5220/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 2.9126 (2.7592)	Prec@1 39.062 (34.323)	Prec@5 60.938 (64.576)
Epoch: [17][5230/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 2.8591 (2.7593)	Prec@1 28.125 (34.317)	Prec@5 64.844 (64.571)
Epoch: [17][5240/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 2.6702 (2.7593)	Prec@1 32.812 (34.318)	Prec@5 62.500 (64.570)
Epoch: [17][5250/14090]	Time 0.773 (0.767)	Data 0.001 (0.002)	Loss 2.6277 (2.7592)	Prec@1 38.281 (34.322)	Prec@5 70.312 (64.573)
Epoch: [17][5260/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 2.5965 (2.7593)	Prec@1 39.062 (34.320)	Prec@5 68.750 (64.572)
Epoch: [17][5270/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 2.8983 (2.7592)	Prec@1 36.719 (34.321)	Prec@5 60.938 (64.576)
Epoch: [17][5280/14090]	Time 0.849 (0.767)	Data 0.001 (0.002)	Loss 2.7294 (2.7591)	Prec@1 35.156 (34.320)	Prec@5 66.406 (64.578)
Epoch: [17][5290/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 2.9723 (2.7593)	Prec@1 28.906 (34.318)	Prec@5 62.500 (64.577)
Epoch: [17][5300/14090]	Time 0.768 (0.767)	Data 0.001 (0.002)	Loss 2.5486 (2.7594)	Prec@1 35.938 (34.315)	Prec@5 72.656 (64.576)
Epoch: [17][5310/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.8226 (2.7595)	Prec@1 32.812 (34.311)	Prec@5 64.062 (64.575)
Epoch: [17][5320/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 2.8900 (2.7595)	Prec@1 33.594 (34.311)	Prec@5 67.188 (64.573)
Epoch: [17][5330/14090]	Time 0.774 (0.767)	Data 0.001 (0.002)	Loss 2.4570 (2.7595)	Prec@1 36.719 (34.312)	Prec@5 75.781 (64.578)
Epoch: [17][5340/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 2.5463 (2.7593)	Prec@1 42.969 (34.315)	Prec@5 67.188 (64.582)
Epoch: [17][5350/14090]	Time 0.844 (0.767)	Data 0.001 (0.002)	Loss 2.5661 (2.7593)	Prec@1 35.156 (34.315)	Prec@5 66.406 (64.584)
Epoch: [17][5360/14090]	Time 0.762 (0.767)	Data 0.001 (0.002)	Loss 2.8537 (2.7594)	Prec@1 28.906 (34.314)	Prec@5 65.625 (64.581)
Epoch: [17][5370/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 2.9976 (2.7594)	Prec@1 31.250 (34.313)	Prec@5 62.500 (64.585)
Epoch: [17][5380/14090]	Time 0.765 (0.767)	Data 0.001 (0.002)	Loss 2.5043 (2.7594)	Prec@1 35.156 (34.312)	Prec@5 70.312 (64.584)
Epoch: [17][5390/14090]	Time 0.770 (0.767)	Data 0.001 (0.002)	Loss 2.5386 (2.7595)	Prec@1 37.500 (34.306)	Prec@5 68.750 (64.582)
Epoch: [17][5400/14090]	Time 0.721 (0.767)	Data 0.001 (0.002)	Loss 3.0296 (2.7596)	Prec@1 35.156 (34.308)	Prec@5 57.031 (64.580)
Epoch: [17][5410/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 2.6678 (2.7594)	Prec@1 39.062 (34.311)	Prec@5 63.281 (64.585)
Epoch: [17][5420/14090]	Time 0.847 (0.767)	Data 0.001 (0.002)	Loss 2.8781 (2.7592)	Prec@1 32.031 (34.315)	Prec@5 63.281 (64.586)
Epoch: [17][5430/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.8452 (2.7594)	Prec@1 35.938 (34.311)	Prec@5 64.844 (64.585)
Epoch: [17][5440/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 2.8465 (2.7592)	Prec@1 39.062 (34.313)	Prec@5 64.844 (64.588)
Epoch: [17][5450/14090]	Time 0.769 (0.767)	Data 0.001 (0.002)	Loss 2.6624 (2.7591)	Prec@1 30.469 (34.313)	Prec@5 62.500 (64.588)
Epoch: [17][5460/14090]	Time 0.780 (0.767)	Data 0.001 (0.002)	Loss 2.8564 (2.7592)	Prec@1 39.844 (34.312)	Prec@5 64.062 (64.586)
Epoch: [17][5470/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 2.8959 (2.7594)	Prec@1 31.250 (34.307)	Prec@5 62.500 (64.582)
Epoch: [17][5480/14090]	Time 0.760 (0.767)	Data 0.001 (0.002)	Loss 2.9888 (2.7595)	Prec@1 34.375 (34.305)	Prec@5 61.719 (64.580)
Epoch: [17][5490/14090]	Time 0.886 (0.767)	Data 0.001 (0.002)	Loss 2.4215 (2.7597)	Prec@1 40.625 (34.300)	Prec@5 68.750 (64.576)
Epoch: [17][5500/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.6906 (2.7596)	Prec@1 37.500 (34.304)	Prec@5 61.719 (64.578)
Epoch: [17][5510/14090]	Time 0.765 (0.767)	Data 0.001 (0.002)	Loss 2.6884 (2.7596)	Prec@1 35.156 (34.307)	Prec@5 66.406 (64.577)
Epoch: [17][5520/14090]	Time 0.757 (0.767)	Data 0.001 (0.002)	Loss 2.6264 (2.7595)	Prec@1 32.031 (34.307)	Prec@5 64.844 (64.577)
Epoch: [17][5530/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 2.4360 (2.7594)	Prec@1 41.406 (34.312)	Prec@5 71.094 (64.580)
Epoch: [17][5540/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 2.7940 (2.7592)	Prec@1 36.719 (34.316)	Prec@5 66.406 (64.585)
Epoch: [17][5550/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 2.7412 (2.7593)	Prec@1 37.500 (34.313)	Prec@5 62.500 (64.584)
Epoch: [17][5560/14090]	Time 0.851 (0.767)	Data 0.001 (0.002)	Loss 3.0836 (2.7592)	Prec@1 27.344 (34.314)	Prec@5 56.250 (64.583)
Epoch: [17][5570/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.6568 (2.7590)	Prec@1 32.812 (34.318)	Prec@5 63.281 (64.586)
Epoch: [17][5580/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.6182 (2.7590)	Prec@1 37.500 (34.322)	Prec@5 64.062 (64.583)
Epoch: [17][5590/14090]	Time 0.760 (0.767)	Data 0.001 (0.002)	Loss 2.5903 (2.7590)	Prec@1 36.719 (34.322)	Prec@5 69.531 (64.581)
Epoch: [17][5600/14090]	Time 0.793 (0.767)	Data 0.001 (0.002)	Loss 2.6381 (2.7590)	Prec@1 37.500 (34.323)	Prec@5 67.188 (64.581)
Epoch: [17][5610/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 2.6338 (2.7589)	Prec@1 37.500 (34.325)	Prec@5 67.969 (64.583)
Epoch: [17][5620/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 2.7776 (2.7589)	Prec@1 35.938 (34.322)	Prec@5 64.062 (64.585)
Epoch: [17][5630/14090]	Time 0.846 (0.767)	Data 0.001 (0.002)	Loss 3.0421 (2.7590)	Prec@1 28.906 (34.321)	Prec@5 58.594 (64.583)
Epoch: [17][5640/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.7803 (2.7591)	Prec@1 33.594 (34.319)	Prec@5 68.750 (64.583)
Epoch: [17][5650/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 2.5432 (2.7591)	Prec@1 43.750 (34.319)	Prec@5 70.312 (64.582)
Epoch: [17][5660/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 2.8791 (2.7592)	Prec@1 31.250 (34.316)	Prec@5 61.719 (64.582)
Epoch: [17][5670/14090]	Time 0.773 (0.767)	Data 0.001 (0.002)	Loss 2.7734 (2.7592)	Prec@1 32.031 (34.314)	Prec@5 64.062 (64.581)
Epoch: [17][5680/14090]	Time 0.761 (0.767)	Data 0.001 (0.002)	Loss 2.5373 (2.7592)	Prec@1 32.031 (34.313)	Prec@5 67.188 (64.579)
Epoch: [17][5690/14090]	Time 0.765 (0.767)	Data 0.001 (0.002)	Loss 2.8996 (2.7592)	Prec@1 35.156 (34.312)	Prec@5 56.250 (64.579)
Epoch: [17][5700/14090]	Time 0.827 (0.766)	Data 0.001 (0.002)	Loss 2.5732 (2.7590)	Prec@1 39.062 (34.314)	Prec@5 68.750 (64.581)
Epoch: [17][5710/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.7055 (2.7590)	Prec@1 28.906 (34.312)	Prec@5 64.062 (64.578)
Epoch: [17][5720/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.7076 (2.7590)	Prec@1 38.281 (34.313)	Prec@5 69.531 (64.581)
Epoch: [17][5730/14090]	Time 0.751 (0.766)	Data 0.002 (0.002)	Loss 2.8503 (2.7592)	Prec@1 29.688 (34.311)	Prec@5 65.625 (64.582)
Epoch: [17][5740/14090]	Time 0.780 (0.766)	Data 0.001 (0.002)	Loss 2.7044 (2.7591)	Prec@1 36.719 (34.313)	Prec@5 64.844 (64.585)
Epoch: [17][5750/14090]	Time 0.757 (0.767)	Data 0.001 (0.002)	Loss 2.9398 (2.7592)	Prec@1 31.250 (34.311)	Prec@5 64.062 (64.586)
Epoch: [17][5760/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.9158 (2.7593)	Prec@1 36.719 (34.310)	Prec@5 60.938 (64.579)
Epoch: [17][5770/14090]	Time 0.880 (0.767)	Data 0.001 (0.002)	Loss 2.0917 (2.7593)	Prec@1 49.219 (34.313)	Prec@5 73.438 (64.583)
Epoch: [17][5780/14090]	Time 0.727 (0.767)	Data 0.001 (0.002)	Loss 2.7404 (2.7592)	Prec@1 29.688 (34.313)	Prec@5 64.844 (64.585)
Epoch: [17][5790/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.8023 (2.7593)	Prec@1 32.812 (34.313)	Prec@5 63.281 (64.584)
Epoch: [17][5800/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 2.7338 (2.7593)	Prec@1 35.156 (34.315)	Prec@5 66.406 (64.586)
Epoch: [17][5810/14090]	Time 0.776 (0.766)	Data 0.001 (0.002)	Loss 2.7980 (2.7593)	Prec@1 34.375 (34.317)	Prec@5 56.250 (64.582)
Epoch: [17][5820/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 2.5703 (2.7594)	Prec@1 35.156 (34.313)	Prec@5 69.531 (64.584)
Epoch: [17][5830/14090]	Time 0.761 (0.766)	Data 0.001 (0.002)	Loss 2.7169 (2.7593)	Prec@1 25.781 (34.311)	Prec@5 63.281 (64.585)
Epoch: [17][5840/14090]	Time 0.841 (0.766)	Data 0.001 (0.002)	Loss 2.7713 (2.7592)	Prec@1 30.469 (34.311)	Prec@5 64.062 (64.585)
Epoch: [17][5850/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.7875 (2.7595)	Prec@1 33.594 (34.303)	Prec@5 67.969 (64.581)
Epoch: [17][5860/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.5105 (2.7592)	Prec@1 40.625 (34.308)	Prec@5 68.750 (64.584)
Epoch: [17][5870/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 2.7545 (2.7592)	Prec@1 32.031 (34.310)	Prec@5 64.062 (64.586)
Epoch: [17][5880/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 2.4562 (2.7591)	Prec@1 40.625 (34.312)	Prec@5 65.625 (64.587)
Epoch: [17][5890/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.8190 (2.7591)	Prec@1 35.938 (34.313)	Prec@5 63.281 (64.586)
Epoch: [17][5900/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 2.8343 (2.7593)	Prec@1 35.938 (34.310)	Prec@5 60.938 (64.581)
Epoch: [17][5910/14090]	Time 0.879 (0.766)	Data 0.004 (0.002)	Loss 2.7126 (2.7593)	Prec@1 35.938 (34.311)	Prec@5 64.844 (64.580)
Epoch: [17][5920/14090]	Time 0.765 (0.766)	Data 0.001 (0.002)	Loss 2.8967 (2.7595)	Prec@1 29.688 (34.308)	Prec@5 64.062 (64.573)
Epoch: [17][5930/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 3.1253 (2.7597)	Prec@1 29.688 (34.306)	Prec@5 55.469 (64.571)
Epoch: [17][5940/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 2.7125 (2.7595)	Prec@1 40.625 (34.313)	Prec@5 60.938 (64.575)
Epoch: [17][5950/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.6837 (2.7595)	Prec@1 35.156 (34.312)	Prec@5 65.625 (64.575)
Epoch: [17][5960/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 2.9543 (2.7596)	Prec@1 33.594 (34.311)	Prec@5 59.375 (64.575)
Epoch: [17][5970/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.6827 (2.7595)	Prec@1 39.062 (34.314)	Prec@5 66.406 (64.577)
Epoch: [17][5980/14090]	Time 0.887 (0.766)	Data 0.001 (0.002)	Loss 2.9787 (2.7595)	Prec@1 28.906 (34.315)	Prec@5 63.281 (64.578)
Epoch: [17][5990/14090]	Time 0.764 (0.766)	Data 0.001 (0.002)	Loss 2.5192 (2.7595)	Prec@1 37.500 (34.316)	Prec@5 74.219 (64.579)
Epoch: [17][6000/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 2.8704 (2.7596)	Prec@1 37.500 (34.314)	Prec@5 61.719 (64.576)
Epoch: [17][6010/14090]	Time 0.779 (0.766)	Data 0.001 (0.002)	Loss 2.7801 (2.7597)	Prec@1 34.375 (34.315)	Prec@5 62.500 (64.575)
Epoch: [17][6020/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 2.8970 (2.7597)	Prec@1 27.344 (34.314)	Prec@5 62.500 (64.572)
Epoch: [17][6030/14090]	Time 0.765 (0.766)	Data 0.001 (0.002)	Loss 2.8041 (2.7598)	Prec@1 32.031 (34.315)	Prec@5 63.281 (64.570)
Epoch: [17][6040/14090]	Time 0.770 (0.766)	Data 0.001 (0.002)	Loss 3.3134 (2.7598)	Prec@1 28.125 (34.314)	Prec@5 54.688 (64.570)
Epoch: [17][6050/14090]	Time 0.852 (0.766)	Data 0.001 (0.002)	Loss 2.8553 (2.7600)	Prec@1 34.375 (34.311)	Prec@5 63.281 (64.566)
Epoch: [17][6060/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 2.7600 (2.7599)	Prec@1 36.719 (34.315)	Prec@5 62.500 (64.567)
Epoch: [17][6070/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 2.5605 (2.7598)	Prec@1 35.156 (34.318)	Prec@5 67.969 (64.570)
Epoch: [17][6080/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.5559 (2.7598)	Prec@1 36.719 (34.315)	Prec@5 64.062 (64.568)
Epoch: [17][6090/14090]	Time 0.733 (0.766)	Data 0.003 (0.002)	Loss 2.9045 (2.7599)	Prec@1 33.594 (34.315)	Prec@5 61.719 (64.566)
Epoch: [17][6100/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 2.6745 (2.7599)	Prec@1 32.812 (34.311)	Prec@5 68.750 (64.566)
Epoch: [17][6110/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 2.4646 (2.7598)	Prec@1 36.719 (34.315)	Prec@5 71.875 (64.568)
Epoch: [17][6120/14090]	Time 0.888 (0.766)	Data 0.001 (0.002)	Loss 2.5383 (2.7598)	Prec@1 36.719 (34.314)	Prec@5 69.531 (64.567)
Epoch: [17][6130/14090]	Time 0.782 (0.766)	Data 0.001 (0.002)	Loss 2.7815 (2.7597)	Prec@1 36.719 (34.316)	Prec@5 65.625 (64.571)
Epoch: [17][6140/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 2.6284 (2.7597)	Prec@1 37.500 (34.313)	Prec@5 66.406 (64.572)
Epoch: [17][6150/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 2.7770 (2.7597)	Prec@1 33.594 (34.313)	Prec@5 62.500 (64.572)
Epoch: [17][6160/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 2.7837 (2.7597)	Prec@1 32.031 (34.313)	Prec@5 63.281 (64.573)
Epoch: [17][6170/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.5752 (2.7597)	Prec@1 37.500 (34.312)	Prec@5 69.531 (64.574)
Epoch: [17][6180/14090]	Time 0.767 (0.766)	Data 0.001 (0.002)	Loss 3.0454 (2.7600)	Prec@1 24.219 (34.308)	Prec@5 57.031 (64.567)
Epoch: [17][6190/14090]	Time 0.870 (0.766)	Data 0.001 (0.002)	Loss 2.5054 (2.7599)	Prec@1 34.375 (34.307)	Prec@5 64.844 (64.568)
Epoch: [17][6200/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.9412 (2.7600)	Prec@1 32.031 (34.304)	Prec@5 61.719 (64.567)
Epoch: [17][6210/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 2.6121 (2.7601)	Prec@1 36.719 (34.305)	Prec@5 67.188 (64.568)
Epoch: [17][6220/14090]	Time 0.764 (0.766)	Data 0.001 (0.002)	Loss 2.9635 (2.7601)	Prec@1 36.719 (34.306)	Prec@5 63.281 (64.568)
Epoch: [17][6230/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.8329 (2.7600)	Prec@1 37.500 (34.309)	Prec@5 60.156 (64.567)
Epoch: [17][6240/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 2.4578 (2.7601)	Prec@1 42.969 (34.309)	Prec@5 75.781 (64.567)
Epoch: [17][6250/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 2.8933 (2.7601)	Prec@1 33.594 (34.309)	Prec@5 60.938 (64.567)
Epoch: [17][6260/14090]	Time 0.847 (0.766)	Data 0.001 (0.002)	Loss 2.7358 (2.7601)	Prec@1 32.031 (34.306)	Prec@5 64.062 (64.565)
Epoch: [17][6270/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.7574 (2.7601)	Prec@1 38.281 (34.306)	Prec@5 65.625 (64.566)
Epoch: [17][6280/14090]	Time 0.763 (0.766)	Data 0.001 (0.002)	Loss 2.9817 (2.7602)	Prec@1 27.344 (34.305)	Prec@5 64.844 (64.565)
Epoch: [17][6290/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 3.1765 (2.7604)	Prec@1 32.812 (34.303)	Prec@5 56.250 (64.561)
Epoch: [17][6300/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 2.7798 (2.7604)	Prec@1 35.156 (34.302)	Prec@5 64.844 (64.560)
Epoch: [17][6310/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 2.6611 (2.7605)	Prec@1 33.594 (34.302)	Prec@5 68.750 (64.559)
Epoch: [17][6320/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 2.5112 (2.7605)	Prec@1 42.969 (34.302)	Prec@5 67.188 (64.558)
Epoch: [17][6330/14090]	Time 0.892 (0.766)	Data 0.001 (0.002)	Loss 2.5223 (2.7604)	Prec@1 35.938 (34.303)	Prec@5 67.188 (64.559)
Epoch: [17][6340/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 3.0392 (2.7604)	Prec@1 32.812 (34.300)	Prec@5 54.688 (64.557)
Epoch: [17][6350/14090]	Time 0.764 (0.766)	Data 0.001 (0.002)	Loss 2.8646 (2.7605)	Prec@1 31.250 (34.300)	Prec@5 60.938 (64.557)
Epoch: [17][6360/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 3.0921 (2.7605)	Prec@1 33.594 (34.303)	Prec@5 57.031 (64.558)
Epoch: [17][6370/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 2.6039 (2.7605)	Prec@1 35.156 (34.300)	Prec@5 67.969 (64.556)
Epoch: [17][6380/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 2.8040 (2.7605)	Prec@1 32.812 (34.299)	Prec@5 64.062 (64.557)
Epoch: [17][6390/14090]	Time 0.725 (0.766)	Data 0.001 (0.002)	Loss 2.9368 (2.7606)	Prec@1 29.688 (34.294)	Prec@5 61.719 (64.554)
Epoch: [17][6400/14090]	Time 0.886 (0.766)	Data 0.001 (0.002)	Loss 2.8624 (2.7607)	Prec@1 31.250 (34.295)	Prec@5 61.719 (64.552)
Epoch: [17][6410/14090]	Time 0.774 (0.766)	Data 0.001 (0.002)	Loss 2.7948 (2.7606)	Prec@1 35.156 (34.295)	Prec@5 65.625 (64.556)
Epoch: [17][6420/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.7896 (2.7606)	Prec@1 32.031 (34.294)	Prec@5 64.844 (64.558)
Epoch: [17][6430/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.8966 (2.7606)	Prec@1 32.812 (34.296)	Prec@5 64.062 (64.558)
Epoch: [17][6440/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.7385 (2.7606)	Prec@1 35.156 (34.299)	Prec@5 67.188 (64.559)
Epoch: [17][6450/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.8720 (2.7606)	Prec@1 34.375 (34.302)	Prec@5 60.938 (64.559)
Epoch: [17][6460/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.7980 (2.7605)	Prec@1 35.156 (34.302)	Prec@5 67.969 (64.562)
Epoch: [17][6470/14090]	Time 0.864 (0.766)	Data 0.001 (0.002)	Loss 2.7338 (2.7605)	Prec@1 38.281 (34.304)	Prec@5 64.844 (64.563)
Epoch: [17][6480/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.7457 (2.7605)	Prec@1 35.156 (34.304)	Prec@5 63.281 (64.562)
Epoch: [17][6490/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 2.8911 (2.7606)	Prec@1 32.031 (34.305)	Prec@5 67.188 (64.564)
Epoch: [17][6500/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 2.8081 (2.7607)	Prec@1 32.812 (34.303)	Prec@5 62.500 (64.563)
Epoch: [17][6510/14090]	Time 0.764 (0.766)	Data 0.001 (0.002)	Loss 2.9398 (2.7608)	Prec@1 35.938 (34.301)	Prec@5 58.594 (64.559)
Epoch: [17][6520/14090]	Time 0.771 (0.766)	Data 0.001 (0.002)	Loss 2.9041 (2.7608)	Prec@1 28.125 (34.299)	Prec@5 60.156 (64.559)
Epoch: [17][6530/14090]	Time 0.771 (0.766)	Data 0.001 (0.002)	Loss 2.5835 (2.7608)	Prec@1 38.281 (34.300)	Prec@5 71.875 (64.560)
Epoch: [17][6540/14090]	Time 0.874 (0.766)	Data 0.001 (0.002)	Loss 2.7035 (2.7609)	Prec@1 35.156 (34.301)	Prec@5 64.844 (64.558)
Epoch: [17][6550/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 2.6911 (2.7609)	Prec@1 32.812 (34.297)	Prec@5 67.188 (64.556)
Epoch: [17][6560/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.7845 (2.7609)	Prec@1 32.031 (34.295)	Prec@5 61.719 (64.556)
Epoch: [17][6570/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 2.7795 (2.7608)	Prec@1 35.938 (34.297)	Prec@5 65.625 (64.556)
Epoch: [17][6580/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 2.7224 (2.7608)	Prec@1 35.938 (34.297)	Prec@5 67.188 (64.559)
Epoch: [17][6590/14090]	Time 0.766 (0.766)	Data 0.001 (0.002)	Loss 2.6221 (2.7608)	Prec@1 46.094 (34.297)	Prec@5 70.312 (64.560)
Epoch: [17][6600/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 2.5504 (2.7606)	Prec@1 35.938 (34.298)	Prec@5 66.406 (64.563)
Epoch: [17][6610/14090]	Time 0.854 (0.766)	Data 0.001 (0.002)	Loss 2.7192 (2.7607)	Prec@1 35.938 (34.296)	Prec@5 63.281 (64.562)
Epoch: [17][6620/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 2.7390 (2.7606)	Prec@1 34.375 (34.297)	Prec@5 67.188 (64.564)
Epoch: [17][6630/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.7213 (2.7606)	Prec@1 33.594 (34.296)	Prec@5 71.875 (64.565)
Epoch: [17][6640/14090]	Time 0.767 (0.766)	Data 0.001 (0.002)	Loss 2.6115 (2.7605)	Prec@1 38.281 (34.296)	Prec@5 68.750 (64.566)
Epoch: [17][6650/14090]	Time 0.777 (0.766)	Data 0.001 (0.002)	Loss 2.9459 (2.7604)	Prec@1 27.344 (34.299)	Prec@5 60.938 (64.569)
Epoch: [17][6660/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 3.1792 (2.7604)	Prec@1 28.125 (34.299)	Prec@5 59.375 (64.569)
Epoch: [17][6670/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.7448 (2.7605)	Prec@1 28.125 (34.297)	Prec@5 65.625 (64.567)
Epoch: [17][6680/14090]	Time 0.827 (0.766)	Data 0.001 (0.002)	Loss 2.5900 (2.7605)	Prec@1 37.500 (34.298)	Prec@5 70.312 (64.566)
Epoch: [17][6690/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.9730 (2.7604)	Prec@1 28.125 (34.297)	Prec@5 58.594 (64.567)
Epoch: [17][6700/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 3.1125 (2.7604)	Prec@1 24.219 (34.295)	Prec@5 59.375 (64.565)
Epoch: [17][6710/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.9773 (2.7606)	Prec@1 37.500 (34.294)	Prec@5 57.812 (64.560)
Epoch: [17][6720/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.8377 (2.7605)	Prec@1 32.812 (34.293)	Prec@5 66.406 (64.561)
Epoch: [17][6730/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.7497 (2.7605)	Prec@1 37.500 (34.292)	Prec@5 64.062 (64.563)
Epoch: [17][6740/14090]	Time 0.727 (0.766)	Data 0.001 (0.002)	Loss 2.8877 (2.7606)	Prec@1 35.156 (34.293)	Prec@5 63.281 (64.562)
Epoch: [17][6750/14090]	Time 0.873 (0.766)	Data 0.001 (0.002)	Loss 2.5082 (2.7607)	Prec@1 37.500 (34.291)	Prec@5 68.750 (64.560)
Epoch: [17][6760/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 2.8864 (2.7611)	Prec@1 35.938 (34.286)	Prec@5 57.812 (64.552)
Epoch: [17][6770/14090]	Time 0.780 (0.766)	Data 0.001 (0.002)	Loss 2.4532 (2.7610)	Prec@1 36.719 (34.285)	Prec@5 72.656 (64.553)
Epoch: [17][6780/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.7667 (2.7610)	Prec@1 32.031 (34.284)	Prec@5 64.844 (64.553)
Epoch: [17][6790/14090]	Time 0.761 (0.766)	Data 0.001 (0.002)	Loss 2.6896 (2.7612)	Prec@1 37.500 (34.283)	Prec@5 61.719 (64.548)
Epoch: [17][6800/14090]	Time 0.726 (0.766)	Data 0.001 (0.002)	Loss 2.8405 (2.7612)	Prec@1 32.031 (34.280)	Prec@5 58.594 (64.547)
Epoch: [17][6810/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.6519 (2.7612)	Prec@1 38.281 (34.282)	Prec@5 71.094 (64.551)
Epoch: [17][6820/14090]	Time 0.875 (0.766)	Data 0.001 (0.002)	Loss 2.9760 (2.7613)	Prec@1 33.594 (34.279)	Prec@5 62.500 (64.549)
Epoch: [17][6830/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.6994 (2.7614)	Prec@1 35.938 (34.274)	Prec@5 63.281 (64.547)
Epoch: [17][6840/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 2.6467 (2.7613)	Prec@1 35.938 (34.275)	Prec@5 68.750 (64.550)
Epoch: [17][6850/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 2.6044 (2.7613)	Prec@1 35.156 (34.277)	Prec@5 64.844 (64.552)
Epoch: [17][6860/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.5184 (2.7615)	Prec@1 35.938 (34.276)	Prec@5 70.312 (64.548)
Epoch: [17][6870/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 2.5793 (2.7616)	Prec@1 34.375 (34.272)	Prec@5 70.312 (64.547)
Epoch: [17][6880/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 2.5528 (2.7615)	Prec@1 32.031 (34.270)	Prec@5 68.750 (64.547)
Epoch: [17][6890/14090]	Time 0.860 (0.766)	Data 0.001 (0.002)	Loss 3.0084 (2.7617)	Prec@1 32.031 (34.270)	Prec@5 58.594 (64.545)
Epoch: [17][6900/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 2.7935 (2.7617)	Prec@1 34.375 (34.268)	Prec@5 66.406 (64.545)
Epoch: [17][6910/14090]	Time 0.783 (0.766)	Data 0.001 (0.002)	Loss 2.6772 (2.7617)	Prec@1 36.719 (34.268)	Prec@5 63.281 (64.546)
Epoch: [17][6920/14090]	Time 0.765 (0.766)	Data 0.001 (0.002)	Loss 2.5092 (2.7616)	Prec@1 38.281 (34.268)	Prec@5 71.094 (64.545)
Epoch: [17][6930/14090]	Time 0.767 (0.766)	Data 0.001 (0.002)	Loss 2.9636 (2.7618)	Prec@1 33.594 (34.267)	Prec@5 62.500 (64.543)
Epoch: [17][6940/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 2.7092 (2.7618)	Prec@1 32.031 (34.266)	Prec@5 62.500 (64.543)
Epoch: [17][6950/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.7045 (2.7617)	Prec@1 34.375 (34.267)	Prec@5 64.844 (64.544)
Epoch: [17][6960/14090]	Time 0.838 (0.766)	Data 0.001 (0.002)	Loss 2.5962 (2.7618)	Prec@1 37.500 (34.266)	Prec@5 68.750 (64.544)
Epoch: [17][6970/14090]	Time 0.804 (0.766)	Data 0.001 (0.002)	Loss 2.7650 (2.7617)	Prec@1 36.719 (34.269)	Prec@5 64.844 (64.544)
Epoch: [17][6980/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 2.8722 (2.7617)	Prec@1 35.938 (34.272)	Prec@5 61.719 (64.545)
Epoch: [17][6990/14090]	Time 0.785 (0.766)	Data 0.001 (0.002)	Loss 2.5786 (2.7615)	Prec@1 33.594 (34.273)	Prec@5 65.625 (64.549)
Epoch: [17][7000/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 2.6304 (2.7615)	Prec@1 31.250 (34.272)	Prec@5 69.531 (64.549)
Epoch: [17][7010/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 2.8062 (2.7615)	Prec@1 35.938 (34.273)	Prec@5 64.062 (64.550)
Epoch: [17][7020/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 2.5631 (2.7614)	Prec@1 40.625 (34.274)	Prec@5 64.062 (64.551)
Epoch: [17][7030/14090]	Time 0.864 (0.766)	Data 0.001 (0.002)	Loss 2.8105 (2.7614)	Prec@1 36.719 (34.275)	Prec@5 62.500 (64.552)
Epoch: [17][7040/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.7953 (2.7614)	Prec@1 29.688 (34.273)	Prec@5 60.938 (64.553)
Epoch: [17][7050/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.7787 (2.7614)	Prec@1 28.125 (34.269)	Prec@5 61.719 (64.555)
Epoch: [17][7060/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.7058 (2.7614)	Prec@1 34.375 (34.265)	Prec@5 65.625 (64.555)
Epoch: [17][7070/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.9403 (2.7613)	Prec@1 27.344 (34.266)	Prec@5 64.062 (64.558)
Epoch: [17][7080/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 2.5215 (2.7613)	Prec@1 36.719 (34.267)	Prec@5 69.531 (64.560)
Epoch: [17][7090/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 2.5502 (2.7613)	Prec@1 32.812 (34.269)	Prec@5 67.969 (64.560)
Epoch: [17][7100/14090]	Time 0.871 (0.766)	Data 0.001 (0.002)	Loss 2.7219 (2.7613)	Prec@1 32.812 (34.271)	Prec@5 64.844 (64.561)
Epoch: [17][7110/14090]	Time 0.764 (0.766)	Data 0.001 (0.002)	Loss 2.3033 (2.7612)	Prec@1 44.531 (34.272)	Prec@5 72.656 (64.562)
Epoch: [17][7120/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 2.5689 (2.7612)	Prec@1 39.062 (34.271)	Prec@5 68.750 (64.560)
Epoch: [17][7130/14090]	Time 0.770 (0.766)	Data 0.001 (0.002)	Loss 2.8423 (2.7612)	Prec@1 32.031 (34.268)	Prec@5 67.188 (64.561)
Epoch: [17][7140/14090]	Time 0.727 (0.766)	Data 0.001 (0.002)	Loss 2.6214 (2.7611)	Prec@1 38.281 (34.268)	Prec@5 67.969 (64.564)
Epoch: [17][7150/14090]	Time 0.761 (0.766)	Data 0.001 (0.002)	Loss 2.9136 (2.7612)	Prec@1 34.375 (34.267)	Prec@5 60.156 (64.562)
Epoch: [17][7160/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 2.5972 (2.7612)	Prec@1 38.281 (34.269)	Prec@5 62.500 (64.561)
Epoch: [17][7170/14090]	Time 0.937 (0.766)	Data 0.001 (0.002)	Loss 2.7298 (2.7611)	Prec@1 34.375 (34.271)	Prec@5 66.406 (64.563)
Epoch: [17][7180/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.9286 (2.7612)	Prec@1 32.812 (34.270)	Prec@5 62.500 (64.563)
Epoch: [17][7190/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 2.6984 (2.7611)	Prec@1 35.938 (34.273)	Prec@5 68.750 (64.566)
Epoch: [17][7200/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 2.7870 (2.7611)	Prec@1 40.625 (34.273)	Prec@5 67.969 (64.567)
Epoch: [17][7210/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 3.1418 (2.7612)	Prec@1 25.000 (34.271)	Prec@5 59.375 (64.566)
Epoch: [17][7220/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 2.8852 (2.7614)	Prec@1 35.938 (34.271)	Prec@5 64.062 (64.563)
Epoch: [17][7230/14090]	Time 0.768 (0.766)	Data 0.001 (0.002)	Loss 2.6978 (2.7614)	Prec@1 33.594 (34.271)	Prec@5 64.062 (64.562)
Epoch: [17][7240/14090]	Time 0.866 (0.766)	Data 0.001 (0.002)	Loss 2.7971 (2.7614)	Prec@1 32.812 (34.270)	Prec@5 61.719 (64.562)
Epoch: [17][7250/14090]	Time 0.774 (0.766)	Data 0.001 (0.002)	Loss 2.8411 (2.7614)	Prec@1 30.469 (34.268)	Prec@5 64.844 (64.563)
Epoch: [17][7260/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 2.7451 (2.7614)	Prec@1 32.031 (34.264)	Prec@5 61.719 (64.562)
Epoch: [17][7270/14090]	Time 0.762 (0.766)	Data 0.003 (0.002)	Loss 2.7575 (2.7614)	Prec@1 35.938 (34.265)	Prec@5 62.500 (64.563)
Epoch: [17][7280/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.3225 (2.7614)	Prec@1 44.531 (34.265)	Prec@5 75.781 (64.562)
Epoch: [17][7290/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 2.5658 (2.7614)	Prec@1 38.281 (34.266)	Prec@5 68.750 (64.561)
Epoch: [17][7300/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.6758 (2.7615)	Prec@1 31.250 (34.261)	Prec@5 66.406 (64.561)
Epoch: [17][7310/14090]	Time 0.845 (0.766)	Data 0.001 (0.002)	Loss 2.7506 (2.7615)	Prec@1 31.250 (34.260)	Prec@5 67.188 (64.562)
Epoch: [17][7320/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 2.4415 (2.7614)	Prec@1 38.281 (34.263)	Prec@5 74.219 (64.566)
Epoch: [17][7330/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 2.9570 (2.7615)	Prec@1 35.938 (34.263)	Prec@5 62.500 (64.565)
Epoch: [17][7340/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 2.8405 (2.7615)	Prec@1 33.594 (34.263)	Prec@5 66.406 (64.566)
Epoch: [17][7350/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.7785 (2.7615)	Prec@1 39.062 (34.263)	Prec@5 60.938 (64.566)
Epoch: [17][7360/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 2.5276 (2.7614)	Prec@1 38.281 (34.267)	Prec@5 70.312 (64.568)
Epoch: [17][7370/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 2.9782 (2.7615)	Prec@1 25.000 (34.265)	Prec@5 57.812 (64.564)
Epoch: [17][7380/14090]	Time 0.896 (0.766)	Data 0.001 (0.002)	Loss 2.6934 (2.7615)	Prec@1 34.375 (34.265)	Prec@5 70.312 (64.563)
Epoch: [17][7390/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.9865 (2.7614)	Prec@1 28.125 (34.264)	Prec@5 61.719 (64.566)
Epoch: [17][7400/14090]	Time 0.727 (0.766)	Data 0.001 (0.002)	Loss 2.9046 (2.7615)	Prec@1 35.156 (34.263)	Prec@5 57.031 (64.564)
Epoch: [17][7410/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.7623 (2.7614)	Prec@1 32.031 (34.262)	Prec@5 64.062 (64.564)
Epoch: [17][7420/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 2.7445 (2.7614)	Prec@1 30.469 (34.262)	Prec@5 65.625 (64.567)
Epoch: [17][7430/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.7355 (2.7615)	Prec@1 38.281 (34.261)	Prec@5 64.844 (64.566)
Epoch: [17][7440/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 2.7401 (2.7615)	Prec@1 29.688 (34.260)	Prec@5 67.969 (64.567)
Epoch: [17][7450/14090]	Time 0.864 (0.766)	Data 0.001 (0.002)	Loss 3.1085 (2.7616)	Prec@1 28.906 (34.259)	Prec@5 57.812 (64.563)
Epoch: [17][7460/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 2.8486 (2.7617)	Prec@1 35.156 (34.255)	Prec@5 64.062 (64.560)
Epoch: [17][7470/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 2.3555 (2.7616)	Prec@1 40.625 (34.257)	Prec@5 75.781 (64.561)
Epoch: [17][7480/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.5662 (2.7616)	Prec@1 39.844 (34.256)	Prec@5 64.844 (64.561)
Epoch: [17][7490/14090]	Time 0.770 (0.766)	Data 0.001 (0.002)	Loss 2.5037 (2.7615)	Prec@1 34.375 (34.255)	Prec@5 69.531 (64.563)
Epoch: [17][7500/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 2.7835 (2.7615)	Prec@1 32.812 (34.252)	Prec@5 68.750 (64.561)
Epoch: [17][7510/14090]	Time 0.765 (0.766)	Data 0.001 (0.002)	Loss 2.5069 (2.7616)	Prec@1 39.844 (34.251)	Prec@5 69.531 (64.559)
Epoch: [17][7520/14090]	Time 0.873 (0.766)	Data 0.001 (0.002)	Loss 2.8608 (2.7616)	Prec@1 32.812 (34.252)	Prec@5 61.719 (64.559)
Epoch: [17][7530/14090]	Time 0.764 (0.766)	Data 0.001 (0.002)	Loss 2.7569 (2.7616)	Prec@1 31.250 (34.250)	Prec@5 63.281 (64.557)
Epoch: [17][7540/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 2.5386 (2.7614)	Prec@1 38.281 (34.255)	Prec@5 69.531 (64.559)
Epoch: [17][7550/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 3.0581 (2.7614)	Prec@1 30.469 (34.255)	Prec@5 53.906 (64.557)
Epoch: [17][7560/14090]	Time 0.782 (0.766)	Data 0.001 (0.002)	Loss 3.0073 (2.7614)	Prec@1 34.375 (34.254)	Prec@5 59.375 (64.558)
Epoch: [17][7570/14090]	Time 0.769 (0.766)	Data 0.001 (0.002)	Loss 2.5855 (2.7615)	Prec@1 36.719 (34.254)	Prec@5 67.188 (64.557)
Epoch: [17][7580/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 2.7869 (2.7615)	Prec@1 29.688 (34.253)	Prec@5 66.406 (64.556)
Epoch: [17][7590/14090]	Time 0.817 (0.766)	Data 0.001 (0.002)	Loss 2.6197 (2.7615)	Prec@1 33.594 (34.254)	Prec@5 64.062 (64.556)
Epoch: [17][7600/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.8276 (2.7616)	Prec@1 39.062 (34.255)	Prec@5 63.281 (64.553)
Epoch: [17][7610/14090]	Time 0.761 (0.766)	Data 0.001 (0.002)	Loss 2.7469 (2.7616)	Prec@1 38.281 (34.256)	Prec@5 64.844 (64.555)
Epoch: [17][7620/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.8313 (2.7615)	Prec@1 32.812 (34.256)	Prec@5 60.938 (64.556)
Epoch: [17][7630/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 3.0096 (2.7617)	Prec@1 33.594 (34.255)	Prec@5 64.062 (64.554)
Epoch: [17][7640/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 3.0214 (2.7617)	Prec@1 25.781 (34.255)	Prec@5 59.375 (64.556)
Epoch: [17][7650/14090]	Time 0.776 (0.766)	Data 0.001 (0.002)	Loss 2.8766 (2.7617)	Prec@1 28.906 (34.253)	Prec@5 64.062 (64.555)
Epoch: [17][7660/14090]	Time 0.851 (0.766)	Data 0.001 (0.002)	Loss 2.8015 (2.7616)	Prec@1 35.156 (34.256)	Prec@5 68.750 (64.558)
Epoch: [17][7670/14090]	Time 0.728 (0.766)	Data 0.001 (0.002)	Loss 3.0583 (2.7615)	Prec@1 26.562 (34.258)	Prec@5 57.031 (64.558)
Epoch: [17][7680/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.6725 (2.7616)	Prec@1 37.500 (34.256)	Prec@5 67.188 (64.557)
Epoch: [17][7690/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 3.0252 (2.7618)	Prec@1 30.469 (34.251)	Prec@5 58.594 (64.552)
Epoch: [17][7700/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 2.6566 (2.7616)	Prec@1 36.719 (34.254)	Prec@5 68.750 (64.556)
Epoch: [17][7710/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.6018 (2.7617)	Prec@1 34.375 (34.254)	Prec@5 69.531 (64.556)
Epoch: [17][7720/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 2.7554 (2.7616)	Prec@1 32.031 (34.253)	Prec@5 60.156 (64.557)
Epoch: [17][7730/14090]	Time 0.864 (0.766)	Data 0.001 (0.002)	Loss 3.0067 (2.7616)	Prec@1 29.688 (34.254)	Prec@5 61.719 (64.558)
Epoch: [17][7740/14090]	Time 0.726 (0.766)	Data 0.001 (0.002)	Loss 2.9196 (2.7616)	Prec@1 31.250 (34.255)	Prec@5 58.594 (64.556)
Epoch: [17][7750/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 2.4905 (2.7615)	Prec@1 40.625 (34.259)	Prec@5 64.062 (64.557)
Epoch: [17][7760/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.8917 (2.7614)	Prec@1 36.719 (34.260)	Prec@5 65.625 (64.559)
Epoch: [17][7770/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 2.9036 (2.7614)	Prec@1 35.156 (34.260)	Prec@5 56.250 (64.559)
Epoch: [17][7780/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 2.6050 (2.7615)	Prec@1 39.844 (34.261)	Prec@5 66.406 (64.557)
Epoch: [17][7790/14090]	Time 0.775 (0.766)	Data 0.001 (0.002)	Loss 2.8400 (2.7615)	Prec@1 32.031 (34.260)	Prec@5 64.062 (64.556)
Epoch: [17][7800/14090]	Time 0.823 (0.766)	Data 0.001 (0.002)	Loss 2.7744 (2.7614)	Prec@1 35.938 (34.263)	Prec@5 63.281 (64.559)
Epoch: [17][7810/14090]	Time 0.764 (0.766)	Data 0.001 (0.002)	Loss 2.8821 (2.7615)	Prec@1 33.594 (34.262)	Prec@5 63.281 (64.558)
Epoch: [17][7820/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 3.1187 (2.7615)	Prec@1 32.031 (34.264)	Prec@5 57.812 (64.557)
Epoch: [17][7830/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 2.7660 (2.7615)	Prec@1 40.625 (34.265)	Prec@5 62.500 (64.560)
Epoch: [17][7840/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 2.7678 (2.7615)	Prec@1 35.938 (34.264)	Prec@5 64.844 (64.559)
Epoch: [17][7850/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 2.3638 (2.7615)	Prec@1 42.188 (34.263)	Prec@5 73.438 (64.558)
Epoch: [17][7860/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 2.5038 (2.7615)	Prec@1 42.969 (34.265)	Prec@5 65.625 (64.558)
Epoch: [17][7870/14090]	Time 0.870 (0.766)	Data 0.001 (0.002)	Loss 2.7733 (2.7614)	Prec@1 30.469 (34.265)	Prec@5 60.938 (64.558)
Epoch: [17][7880/14090]	Time 0.767 (0.766)	Data 0.001 (0.002)	Loss 2.7324 (2.7614)	Prec@1 33.594 (34.266)	Prec@5 64.844 (64.556)
Epoch: [17][7890/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.4595 (2.7613)	Prec@1 38.281 (34.268)	Prec@5 71.875 (64.560)
Epoch: [17][7900/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.6500 (2.7613)	Prec@1 32.812 (34.269)	Prec@5 67.969 (64.559)
Epoch: [17][7910/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.5536 (2.7613)	Prec@1 39.062 (34.270)	Prec@5 67.969 (64.560)
Epoch: [17][7920/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 2.8513 (2.7613)	Prec@1 32.812 (34.268)	Prec@5 62.500 (64.559)
Epoch: [17][7930/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 2.5823 (2.7613)	Prec@1 33.594 (34.267)	Prec@5 68.750 (64.556)
Epoch: [17][7940/14090]	Time 0.883 (0.766)	Data 0.001 (0.002)	Loss 2.7956 (2.7613)	Prec@1 35.938 (34.271)	Prec@5 65.625 (64.560)
Epoch: [17][7950/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 2.6700 (2.7613)	Prec@1 37.500 (34.270)	Prec@5 67.969 (64.560)
Epoch: [17][7960/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.7196 (2.7613)	Prec@1 36.719 (34.269)	Prec@5 64.062 (64.562)
Epoch: [17][7970/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 2.8026 (2.7614)	Prec@1 35.938 (34.266)	Prec@5 61.719 (64.561)
Epoch: [17][7980/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 3.1704 (2.7615)	Prec@1 28.125 (34.264)	Prec@5 58.594 (64.560)
Epoch: [17][7990/14090]	Time 0.766 (0.766)	Data 0.001 (0.002)	Loss 2.7800 (2.7616)	Prec@1 36.719 (34.263)	Prec@5 56.250 (64.559)
Epoch: [17][8000/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 3.0164 (2.7617)	Prec@1 30.469 (34.261)	Prec@5 60.938 (64.557)
Epoch: [17][8010/14090]	Time 0.854 (0.766)	Data 0.001 (0.002)	Loss 2.7122 (2.7617)	Prec@1 39.844 (34.262)	Prec@5 64.844 (64.556)
Epoch: [17][8020/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 2.8601 (2.7617)	Prec@1 27.344 (34.260)	Prec@5 62.500 (64.555)
Epoch: [17][8030/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 2.7797 (2.7617)	Prec@1 32.812 (34.262)	Prec@5 61.719 (64.556)
Epoch: [17][8040/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.6116 (2.7616)	Prec@1 35.938 (34.263)	Prec@5 64.062 (64.557)
Epoch: [17][8050/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.9073 (2.7616)	Prec@1 34.375 (34.263)	Prec@5 62.500 (64.556)
Epoch: [17][8060/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 3.0118 (2.7617)	Prec@1 29.688 (34.259)	Prec@5 62.500 (64.555)
Epoch: [17][8070/14090]	Time 0.782 (0.766)	Data 0.001 (0.002)	Loss 2.9127 (2.7617)	Prec@1 32.812 (34.258)	Prec@5 61.719 (64.554)
Epoch: [17][8080/14090]	Time 0.873 (0.766)	Data 0.001 (0.002)	Loss 2.5162 (2.7617)	Prec@1 39.844 (34.261)	Prec@5 71.094 (64.555)
Epoch: [17][8090/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 2.9023 (2.7617)	Prec@1 39.062 (34.259)	Prec@5 57.812 (64.553)
Epoch: [17][8100/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 2.8931 (2.7618)	Prec@1 35.938 (34.259)	Prec@5 60.156 (64.553)
Epoch: [17][8110/14090]	Time 0.781 (0.766)	Data 0.001 (0.002)	Loss 2.8405 (2.7618)	Prec@1 33.594 (34.258)	Prec@5 64.844 (64.554)
Epoch: [17][8120/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 2.5113 (2.7617)	Prec@1 42.969 (34.259)	Prec@5 72.656 (64.557)
Epoch: [17][8130/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.7882 (2.7618)	Prec@1 32.812 (34.257)	Prec@5 67.969 (64.555)
Epoch: [17][8140/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 2.6414 (2.7618)	Prec@1 36.719 (34.255)	Prec@5 66.406 (64.554)
Epoch: [17][8150/14090]	Time 0.866 (0.766)	Data 0.001 (0.002)	Loss 2.8662 (2.7619)	Prec@1 31.250 (34.252)	Prec@5 63.281 (64.554)
Epoch: [17][8160/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 2.9510 (2.7619)	Prec@1 31.250 (34.250)	Prec@5 57.812 (64.553)
Epoch: [17][8170/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 2.4081 (2.7620)	Prec@1 47.656 (34.250)	Prec@5 71.094 (64.552)
Epoch: [17][8180/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.6312 (2.7620)	Prec@1 36.719 (34.248)	Prec@5 71.094 (64.553)
Epoch: [17][8190/14090]	Time 0.774 (0.766)	Data 0.001 (0.002)	Loss 2.5478 (2.7620)	Prec@1 36.719 (34.250)	Prec@5 71.094 (64.552)
Epoch: [17][8200/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.6148 (2.7619)	Prec@1 34.375 (34.250)	Prec@5 65.625 (64.553)
Epoch: [17][8210/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.5526 (2.7619)	Prec@1 40.625 (34.249)	Prec@5 68.750 (64.552)
Epoch: [17][8220/14090]	Time 0.877 (0.766)	Data 0.001 (0.002)	Loss 2.6151 (2.7619)	Prec@1 34.375 (34.249)	Prec@5 66.406 (64.552)
Epoch: [17][8230/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 2.9382 (2.7619)	Prec@1 26.562 (34.250)	Prec@5 64.062 (64.552)
Epoch: [17][8240/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 2.7672 (2.7618)	Prec@1 31.250 (34.251)	Prec@5 64.062 (64.553)
Epoch: [17][8250/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 2.7935 (2.7619)	Prec@1 33.594 (34.247)	Prec@5 61.719 (64.550)
Epoch: [17][8260/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.8569 (2.7619)	Prec@1 37.500 (34.247)	Prec@5 62.500 (64.550)
Epoch: [17][8270/14090]	Time 0.774 (0.766)	Data 0.001 (0.002)	Loss 2.7154 (2.7619)	Prec@1 33.594 (34.249)	Prec@5 61.719 (64.551)
Epoch: [17][8280/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 2.7967 (2.7619)	Prec@1 41.406 (34.246)	Prec@5 63.281 (64.551)
Epoch: [17][8290/14090]	Time 0.886 (0.766)	Data 0.001 (0.002)	Loss 2.5149 (2.7618)	Prec@1 38.281 (34.248)	Prec@5 71.094 (64.553)
Epoch: [17][8300/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 3.0198 (2.7618)	Prec@1 28.125 (34.249)	Prec@5 58.594 (64.554)
Epoch: [17][8310/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 2.5963 (2.7617)	Prec@1 39.062 (34.249)	Prec@5 71.094 (64.557)
Epoch: [17][8320/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 2.6959 (2.7618)	Prec@1 35.938 (34.248)	Prec@5 60.156 (64.554)
Epoch: [17][8330/14090]	Time 0.784 (0.766)	Data 0.001 (0.002)	Loss 2.7419 (2.7618)	Prec@1 32.812 (34.247)	Prec@5 67.969 (64.554)
Epoch: [17][8340/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 2.9952 (2.7618)	Prec@1 25.781 (34.245)	Prec@5 60.938 (64.553)
Epoch: [17][8350/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 2.9145 (2.7619)	Prec@1 25.781 (34.242)	Prec@5 63.281 (64.552)
Epoch: [17][8360/14090]	Time 0.881 (0.766)	Data 0.001 (0.002)	Loss 3.1019 (2.7621)	Prec@1 28.125 (34.239)	Prec@5 64.062 (64.551)
Epoch: [17][8370/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.8235 (2.7621)	Prec@1 32.031 (34.239)	Prec@5 66.406 (64.553)
Epoch: [17][8380/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 2.3377 (2.7620)	Prec@1 38.281 (34.238)	Prec@5 71.875 (64.554)
Epoch: [17][8390/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 2.9209 (2.7620)	Prec@1 32.812 (34.239)	Prec@5 60.938 (64.554)
Epoch: [17][8400/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 3.0670 (2.7621)	Prec@1 29.688 (34.237)	Prec@5 62.500 (64.552)
Epoch: [17][8410/14090]	Time 0.761 (0.766)	Data 0.001 (0.002)	Loss 2.7440 (2.7621)	Prec@1 35.938 (34.236)	Prec@5 66.406 (64.553)
Epoch: [17][8420/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 3.0279 (2.7623)	Prec@1 33.594 (34.235)	Prec@5 57.031 (64.550)
Epoch: [17][8430/14090]	Time 0.858 (0.766)	Data 0.001 (0.002)	Loss 2.8410 (2.7622)	Prec@1 39.062 (34.237)	Prec@5 63.281 (64.553)
Epoch: [17][8440/14090]	Time 0.778 (0.766)	Data 0.001 (0.002)	Loss 2.8016 (2.7622)	Prec@1 38.281 (34.237)	Prec@5 61.719 (64.553)
Epoch: [17][8450/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.6102 (2.7622)	Prec@1 31.250 (34.237)	Prec@5 70.312 (64.553)
Epoch: [17][8460/14090]	Time 0.723 (0.766)	Data 0.001 (0.002)	Loss 2.8997 (2.7623)	Prec@1 27.344 (34.237)	Prec@5 60.156 (64.550)
Epoch: [17][8470/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.5835 (2.7623)	Prec@1 41.406 (34.237)	Prec@5 67.969 (64.552)
Epoch: [17][8480/14090]	Time 0.772 (0.766)	Data 0.001 (0.002)	Loss 2.5699 (2.7623)	Prec@1 35.156 (34.238)	Prec@5 68.750 (64.552)
Epoch: [17][8490/14090]	Time 0.740 (0.766)	Data 0.002 (0.002)	Loss 2.7071 (2.7624)	Prec@1 39.062 (34.234)	Prec@5 64.062 (64.548)
Epoch: [17][8500/14090]	Time 0.874 (0.766)	Data 0.001 (0.002)	Loss 2.8560 (2.7625)	Prec@1 37.500 (34.234)	Prec@5 59.375 (64.548)
Epoch: [17][8510/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.7352 (2.7624)	Prec@1 32.031 (34.234)	Prec@5 62.500 (64.550)
Epoch: [17][8520/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 2.5598 (2.7625)	Prec@1 42.188 (34.235)	Prec@5 69.531 (64.550)
Epoch: [17][8530/14090]	Time 0.775 (0.766)	Data 0.001 (0.002)	Loss 2.8668 (2.7625)	Prec@1 32.031 (34.233)	Prec@5 64.062 (64.550)
Epoch: [17][8540/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 2.6682 (2.7626)	Prec@1 31.250 (34.230)	Prec@5 61.719 (64.549)
Epoch: [17][8550/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 2.7300 (2.7626)	Prec@1 33.594 (34.232)	Prec@5 66.406 (64.551)
Epoch: [17][8560/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.7089 (2.7626)	Prec@1 37.500 (34.233)	Prec@5 64.062 (64.550)
Epoch: [17][8570/14090]	Time 0.872 (0.766)	Data 0.001 (0.002)	Loss 2.8296 (2.7626)	Prec@1 35.938 (34.233)	Prec@5 60.938 (64.550)
Epoch: [17][8580/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 2.8072 (2.7626)	Prec@1 29.688 (34.231)	Prec@5 67.188 (64.549)
Epoch: [17][8590/14090]	Time 0.725 (0.766)	Data 0.001 (0.002)	Loss 2.6246 (2.7627)	Prec@1 37.500 (34.229)	Prec@5 68.750 (64.547)
Epoch: [17][8600/14090]	Time 0.767 (0.766)	Data 0.001 (0.002)	Loss 2.6276 (2.7627)	Prec@1 37.500 (34.229)	Prec@5 66.406 (64.545)
Epoch: [17][8610/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.7169 (2.7627)	Prec@1 37.500 (34.228)	Prec@5 65.625 (64.545)
Epoch: [17][8620/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.6830 (2.7626)	Prec@1 39.062 (34.231)	Prec@5 66.406 (64.546)
Epoch: [17][8630/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.7782 (2.7626)	Prec@1 35.938 (34.231)	Prec@5 67.969 (64.549)
Epoch: [17][8640/14090]	Time 0.913 (0.766)	Data 0.001 (0.002)	Loss 2.7615 (2.7625)	Prec@1 30.469 (34.231)	Prec@5 66.406 (64.549)
Epoch: [17][8650/14090]	Time 0.774 (0.766)	Data 0.001 (0.002)	Loss 2.9327 (2.7626)	Prec@1 32.812 (34.230)	Prec@5 60.156 (64.549)
Epoch: [17][8660/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.5950 (2.7626)	Prec@1 39.062 (34.231)	Prec@5 69.531 (64.548)
Epoch: [17][8670/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 2.6237 (2.7626)	Prec@1 32.031 (34.230)	Prec@5 70.312 (64.548)
Epoch: [17][8680/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 2.6767 (2.7627)	Prec@1 34.375 (34.229)	Prec@5 65.625 (64.548)
Epoch: [17][8690/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 2.8278 (2.7627)	Prec@1 34.375 (34.229)	Prec@5 60.156 (64.548)
Epoch: [17][8700/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.9127 (2.7627)	Prec@1 29.688 (34.230)	Prec@5 61.719 (64.549)
Epoch: [17][8710/14090]	Time 0.866 (0.766)	Data 0.001 (0.002)	Loss 2.8081 (2.7627)	Prec@1 33.594 (34.230)	Prec@5 64.844 (64.549)
Epoch: [17][8720/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 2.5992 (2.7626)	Prec@1 39.844 (34.231)	Prec@5 66.406 (64.550)
Epoch: [17][8730/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.8815 (2.7626)	Prec@1 29.688 (34.231)	Prec@5 60.156 (64.550)
Epoch: [17][8740/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.9750 (2.7627)	Prec@1 29.688 (34.229)	Prec@5 64.844 (64.548)
Epoch: [17][8750/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 2.4132 (2.7626)	Prec@1 40.625 (34.229)	Prec@5 75.000 (64.551)
Epoch: [17][8760/14090]	Time 0.771 (0.766)	Data 0.001 (0.002)	Loss 2.4993 (2.7626)	Prec@1 35.938 (34.229)	Prec@5 64.844 (64.549)
Epoch: [17][8770/14090]	Time 0.763 (0.766)	Data 0.001 (0.002)	Loss 2.7946 (2.7626)	Prec@1 36.719 (34.230)	Prec@5 64.062 (64.549)
Epoch: [17][8780/14090]	Time 0.878 (0.766)	Data 0.001 (0.002)	Loss 2.8199 (2.7627)	Prec@1 32.031 (34.229)	Prec@5 66.406 (64.546)
Epoch: [17][8790/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.5961 (2.7627)	Prec@1 38.281 (34.229)	Prec@5 63.281 (64.546)
Epoch: [17][8800/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 2.7371 (2.7627)	Prec@1 31.250 (34.230)	Prec@5 63.281 (64.547)
Epoch: [17][8810/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 2.9183 (2.7627)	Prec@1 25.781 (34.227)	Prec@5 62.500 (64.546)
Epoch: [17][8820/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 2.8311 (2.7628)	Prec@1 32.812 (34.225)	Prec@5 62.500 (64.545)
Epoch: [17][8830/14090]	Time 0.767 (0.766)	Data 0.001 (0.002)	Loss 2.8640 (2.7627)	Prec@1 29.688 (34.225)	Prec@5 63.281 (64.545)
Epoch: [17][8840/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.3537 (2.7627)	Prec@1 42.969 (34.227)	Prec@5 72.656 (64.548)
Epoch: [17][8850/14090]	Time 0.914 (0.766)	Data 0.001 (0.002)	Loss 2.7556 (2.7626)	Prec@1 37.500 (34.226)	Prec@5 61.719 (64.548)
Epoch: [17][8860/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.9410 (2.7626)	Prec@1 29.688 (34.225)	Prec@5 62.500 (64.548)
Epoch: [17][8870/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 2.8302 (2.7626)	Prec@1 32.031 (34.225)	Prec@5 64.844 (64.547)
Epoch: [17][8880/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 2.5820 (2.7628)	Prec@1 35.938 (34.224)	Prec@5 65.625 (64.545)
Epoch: [17][8890/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 2.7643 (2.7628)	Prec@1 33.594 (34.223)	Prec@5 64.844 (64.546)
Epoch: [17][8900/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.5019 (2.7628)	Prec@1 42.188 (34.223)	Prec@5 72.656 (64.548)
Epoch: [17][8910/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.7425 (2.7628)	Prec@1 28.125 (34.224)	Prec@5 65.625 (64.547)
Epoch: [17][8920/14090]	Time 0.845 (0.766)	Data 0.001 (0.002)	Loss 2.5448 (2.7627)	Prec@1 37.500 (34.226)	Prec@5 66.406 (64.548)
Epoch: [17][8930/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.6318 (2.7627)	Prec@1 32.031 (34.227)	Prec@5 70.312 (64.549)
Epoch: [17][8940/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.8068 (2.7627)	Prec@1 28.125 (34.226)	Prec@5 66.406 (64.548)
Epoch: [17][8950/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 2.8978 (2.7627)	Prec@1 34.375 (34.227)	Prec@5 60.938 (64.548)
Epoch: [17][8960/14090]	Time 0.764 (0.766)	Data 0.001 (0.002)	Loss 3.1589 (2.7628)	Prec@1 27.344 (34.226)	Prec@5 55.469 (64.547)
Epoch: [17][8970/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.8958 (2.7628)	Prec@1 25.000 (34.223)	Prec@5 60.938 (64.546)
Epoch: [17][8980/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 2.7929 (2.7628)	Prec@1 26.562 (34.224)	Prec@5 60.938 (64.547)
Epoch: [17][8990/14090]	Time 0.863 (0.766)	Data 0.001 (0.002)	Loss 2.6290 (2.7629)	Prec@1 35.938 (34.222)	Prec@5 71.094 (64.546)
Epoch: [17][9000/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 2.9833 (2.7630)	Prec@1 30.469 (34.219)	Prec@5 59.375 (64.541)
Epoch: [17][9010/14090]	Time 0.763 (0.766)	Data 0.001 (0.002)	Loss 2.5354 (2.7630)	Prec@1 39.844 (34.219)	Prec@5 68.750 (64.542)
Epoch: [17][9020/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.9872 (2.7630)	Prec@1 28.125 (34.219)	Prec@5 58.594 (64.543)
Epoch: [17][9030/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.6588 (2.7629)	Prec@1 37.500 (34.221)	Prec@5 71.094 (64.544)
Epoch: [17][9040/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.6700 (2.7629)	Prec@1 32.812 (34.220)	Prec@5 68.750 (64.543)
Epoch: [17][9050/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.9071 (2.7628)	Prec@1 32.031 (34.222)	Prec@5 60.156 (64.545)
Epoch: [17][9060/14090]	Time 0.859 (0.766)	Data 0.001 (0.002)	Loss 2.6500 (2.7629)	Prec@1 32.812 (34.220)	Prec@5 67.188 (64.544)
Epoch: [17][9070/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 2.7466 (2.7629)	Prec@1 36.719 (34.222)	Prec@5 60.938 (64.545)
Epoch: [17][9080/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 2.6426 (2.7628)	Prec@1 34.375 (34.224)	Prec@5 67.188 (64.547)
Epoch: [17][9090/14090]	Time 0.761 (0.766)	Data 0.001 (0.002)	Loss 2.7031 (2.7628)	Prec@1 34.375 (34.225)	Prec@5 64.844 (64.548)
Epoch: [17][9100/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.6433 (2.7627)	Prec@1 31.250 (34.229)	Prec@5 66.406 (64.549)
Epoch: [17][9110/14090]	Time 0.766 (0.766)	Data 0.001 (0.002)	Loss 2.7109 (2.7628)	Prec@1 34.375 (34.226)	Prec@5 65.625 (64.547)
Epoch: [17][9120/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 2.8655 (2.7628)	Prec@1 28.125 (34.225)	Prec@5 60.938 (64.547)
Epoch: [17][9130/14090]	Time 0.828 (0.766)	Data 0.001 (0.002)	Loss 2.5260 (2.7628)	Prec@1 39.062 (34.225)	Prec@5 70.312 (64.547)
Epoch: [17][9140/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 2.8562 (2.7629)	Prec@1 34.375 (34.223)	Prec@5 60.156 (64.548)
Epoch: [17][9150/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.7544 (2.7629)	Prec@1 34.375 (34.222)	Prec@5 64.062 (64.546)
Epoch: [17][9160/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 2.6756 (2.7629)	Prec@1 40.625 (34.223)	Prec@5 60.938 (64.544)
Epoch: [17][9170/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 2.8889 (2.7628)	Prec@1 26.562 (34.225)	Prec@5 60.156 (64.546)
Epoch: [17][9180/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.6438 (2.7627)	Prec@1 35.156 (34.228)	Prec@5 67.969 (64.548)
Epoch: [17][9190/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.7743 (2.7629)	Prec@1 34.375 (34.226)	Prec@5 60.938 (64.544)
Epoch: [17][9200/14090]	Time 0.907 (0.766)	Data 0.001 (0.002)	Loss 2.6226 (2.7629)	Prec@1 32.031 (34.225)	Prec@5 67.969 (64.546)
Epoch: [17][9210/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 3.2257 (2.7629)	Prec@1 30.469 (34.226)	Prec@5 53.906 (64.545)
Epoch: [17][9220/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.3751 (2.7628)	Prec@1 41.406 (34.229)	Prec@5 70.312 (64.546)
Epoch: [17][9230/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 2.8961 (2.7628)	Prec@1 32.812 (34.229)	Prec@5 64.062 (64.547)
Epoch: [17][9240/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 2.7247 (2.7629)	Prec@1 34.375 (34.229)	Prec@5 64.844 (64.547)
Epoch: [17][9250/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 2.6900 (2.7628)	Prec@1 37.500 (34.231)	Prec@5 63.281 (64.547)
Epoch: [17][9260/14090]	Time 0.763 (0.766)	Data 0.001 (0.002)	Loss 2.6821 (2.7628)	Prec@1 39.844 (34.231)	Prec@5 67.188 (64.547)
Epoch: [17][9270/14090]	Time 0.862 (0.766)	Data 0.001 (0.002)	Loss 2.4674 (2.7628)	Prec@1 35.938 (34.230)	Prec@5 70.312 (64.546)
Epoch: [17][9280/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 2.6653 (2.7627)	Prec@1 35.156 (34.232)	Prec@5 62.500 (64.546)
Epoch: [17][9290/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 2.6227 (2.7627)	Prec@1 35.156 (34.231)	Prec@5 67.188 (64.545)
Epoch: [17][9300/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.6559 (2.7627)	Prec@1 41.406 (34.232)	Prec@5 69.531 (64.545)
Epoch: [17][9310/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.6725 (2.7627)	Prec@1 39.062 (34.231)	Prec@5 66.406 (64.544)
Epoch: [17][9320/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 2.8879 (2.7627)	Prec@1 35.156 (34.230)	Prec@5 59.375 (64.544)
Epoch: [17][9330/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 2.5390 (2.7627)	Prec@1 39.062 (34.229)	Prec@5 67.969 (64.545)
Epoch: [17][9340/14090]	Time 0.870 (0.766)	Data 0.001 (0.002)	Loss 2.8812 (2.7628)	Prec@1 35.156 (34.230)	Prec@5 64.844 (64.544)
Epoch: [17][9350/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 2.7241 (2.7628)	Prec@1 42.969 (34.230)	Prec@5 63.281 (64.542)
Epoch: [17][9360/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 2.7367 (2.7629)	Prec@1 32.031 (34.229)	Prec@5 67.969 (64.541)
Epoch: [17][9370/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 2.7270 (2.7628)	Prec@1 35.156 (34.229)	Prec@5 64.844 (64.543)
Epoch: [17][9380/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.7864 (2.7628)	Prec@1 32.031 (34.228)	Prec@5 69.531 (64.543)
Epoch: [17][9390/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.5503 (2.7628)	Prec@1 38.281 (34.228)	Prec@5 64.844 (64.543)
Epoch: [17][9400/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 2.6885 (2.7628)	Prec@1 36.719 (34.229)	Prec@5 67.188 (64.545)
Epoch: [17][9410/14090]	Time 0.833 (0.766)	Data 0.001 (0.002)	Loss 2.9511 (2.7628)	Prec@1 34.375 (34.229)	Prec@5 69.531 (64.545)
Epoch: [17][9420/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.8410 (2.7627)	Prec@1 35.156 (34.230)	Prec@5 59.375 (64.544)
Epoch: [17][9430/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.9073 (2.7627)	Prec@1 34.375 (34.231)	Prec@5 62.500 (64.546)
Epoch: [17][9440/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 2.8111 (2.7627)	Prec@1 32.812 (34.229)	Prec@5 63.281 (64.547)
Epoch: [17][9450/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 3.0759 (2.7627)	Prec@1 33.594 (34.227)	Prec@5 58.594 (64.546)
Epoch: [17][9460/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.7876 (2.7628)	Prec@1 34.375 (34.227)	Prec@5 64.062 (64.544)
Epoch: [17][9470/14090]	Time 0.764 (0.766)	Data 0.001 (0.002)	Loss 2.7234 (2.7629)	Prec@1 37.500 (34.228)	Prec@5 62.500 (64.545)
Epoch: [17][9480/14090]	Time 1.040 (0.766)	Data 0.001 (0.002)	Loss 2.8894 (2.7629)	Prec@1 34.375 (34.228)	Prec@5 62.500 (64.543)
Epoch: [17][9490/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.6786 (2.7629)	Prec@1 33.594 (34.227)	Prec@5 64.062 (64.545)
Epoch: [17][9500/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.6857 (2.7629)	Prec@1 32.812 (34.227)	Prec@5 66.406 (64.544)
Epoch: [17][9510/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 2.8168 (2.7629)	Prec@1 32.812 (34.227)	Prec@5 61.719 (64.544)
Epoch: [17][9520/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.7633 (2.7629)	Prec@1 42.188 (34.228)	Prec@5 67.969 (64.543)
Epoch: [17][9530/14090]	Time 0.776 (0.767)	Data 0.001 (0.002)	Loss 3.0113 (2.7630)	Prec@1 30.469 (34.225)	Prec@5 53.906 (64.541)
Epoch: [17][9540/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.5746 (2.7630)	Prec@1 40.625 (34.224)	Prec@5 73.438 (64.540)
Epoch: [17][9550/14090]	Time 0.841 (0.766)	Data 0.001 (0.002)	Loss 2.6765 (2.7630)	Prec@1 35.938 (34.225)	Prec@5 67.188 (64.540)
Epoch: [17][9560/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.6162 (2.7631)	Prec@1 38.281 (34.225)	Prec@5 64.844 (64.539)
Epoch: [17][9570/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.4110 (2.7630)	Prec@1 46.875 (34.227)	Prec@5 73.438 (64.541)
Epoch: [17][9580/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 2.8246 (2.7631)	Prec@1 31.250 (34.225)	Prec@5 62.500 (64.538)
Epoch: [17][9590/14090]	Time 0.774 (0.766)	Data 0.001 (0.002)	Loss 2.7998 (2.7630)	Prec@1 32.031 (34.226)	Prec@5 63.281 (64.538)
Epoch: [17][9600/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 2.9901 (2.7632)	Prec@1 32.812 (34.223)	Prec@5 62.500 (64.535)
Epoch: [17][9610/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 2.6183 (2.7631)	Prec@1 35.156 (34.221)	Prec@5 64.844 (64.535)
Epoch: [17][9620/14090]	Time 0.872 (0.767)	Data 0.001 (0.002)	Loss 2.5712 (2.7631)	Prec@1 39.844 (34.219)	Prec@5 67.969 (64.535)
Epoch: [17][9630/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 2.5282 (2.7631)	Prec@1 39.062 (34.219)	Prec@5 68.750 (64.535)
Epoch: [17][9640/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.6724 (2.7632)	Prec@1 37.500 (34.219)	Prec@5 64.844 (64.534)
Epoch: [17][9650/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.3750 (2.7631)	Prec@1 35.938 (34.219)	Prec@5 75.000 (64.534)
Epoch: [17][9660/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 2.9052 (2.7632)	Prec@1 26.562 (34.218)	Prec@5 61.719 (64.532)
Epoch: [17][9670/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 2.8384 (2.7631)	Prec@1 32.812 (34.220)	Prec@5 64.844 (64.533)
Epoch: [17][9680/14090]	Time 0.769 (0.766)	Data 0.001 (0.002)	Loss 2.5687 (2.7631)	Prec@1 31.250 (34.221)	Prec@5 73.438 (64.535)
Epoch: [17][9690/14090]	Time 0.873 (0.767)	Data 0.002 (0.002)	Loss 2.7655 (2.7631)	Prec@1 32.031 (34.220)	Prec@5 57.812 (64.534)
Epoch: [17][9700/14090]	Time 0.760 (0.767)	Data 0.001 (0.002)	Loss 2.8030 (2.7631)	Prec@1 32.031 (34.221)	Prec@5 63.281 (64.535)
Epoch: [17][9710/14090]	Time 0.763 (0.767)	Data 0.001 (0.002)	Loss 2.6711 (2.7632)	Prec@1 34.375 (34.219)	Prec@5 64.062 (64.534)
Epoch: [17][9720/14090]	Time 0.766 (0.767)	Data 0.001 (0.002)	Loss 2.6569 (2.7631)	Prec@1 35.938 (34.219)	Prec@5 67.188 (64.535)
Epoch: [17][9730/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.6256 (2.7630)	Prec@1 37.500 (34.222)	Prec@5 63.281 (64.537)
Epoch: [17][9740/14090]	Time 0.734 (0.767)	Data 0.004 (0.002)	Loss 2.7785 (2.7631)	Prec@1 35.156 (34.222)	Prec@5 64.062 (64.536)
Epoch: [17][9750/14090]	Time 0.763 (0.767)	Data 0.001 (0.002)	Loss 2.8888 (2.7631)	Prec@1 29.688 (34.222)	Prec@5 62.500 (64.535)
Epoch: [17][9760/14090]	Time 0.827 (0.767)	Data 0.001 (0.002)	Loss 2.7142 (2.7631)	Prec@1 37.500 (34.223)	Prec@5 62.500 (64.534)
Epoch: [17][9770/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.4014 (2.7630)	Prec@1 46.875 (34.225)	Prec@5 72.656 (64.535)
Epoch: [17][9780/14090]	Time 0.757 (0.767)	Data 0.001 (0.002)	Loss 2.9143 (2.7629)	Prec@1 32.031 (34.227)	Prec@5 67.188 (64.538)
Epoch: [17][9790/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 2.7983 (2.7629)	Prec@1 42.969 (34.227)	Prec@5 64.062 (64.538)
Epoch: [17][9800/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 2.8133 (2.7629)	Prec@1 33.594 (34.226)	Prec@5 64.844 (64.537)
Epoch: [17][9810/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.7431 (2.7629)	Prec@1 35.156 (34.227)	Prec@5 66.406 (64.539)
Epoch: [17][9820/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.4864 (2.7629)	Prec@1 38.281 (34.226)	Prec@5 69.531 (64.538)
Epoch: [17][9830/14090]	Time 0.875 (0.767)	Data 0.001 (0.002)	Loss 2.6841 (2.7630)	Prec@1 32.812 (34.225)	Prec@5 66.406 (64.536)
Epoch: [17][9840/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.5248 (2.7630)	Prec@1 36.719 (34.225)	Prec@5 70.312 (64.534)
Epoch: [17][9850/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 2.6792 (2.7630)	Prec@1 34.375 (34.225)	Prec@5 60.938 (64.533)
Epoch: [17][9860/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 3.0551 (2.7631)	Prec@1 28.125 (34.223)	Prec@5 56.250 (64.530)
Epoch: [17][9870/14090]	Time 0.782 (0.766)	Data 0.001 (0.002)	Loss 2.6902 (2.7632)	Prec@1 37.500 (34.223)	Prec@5 68.750 (64.527)
Epoch: [17][9880/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 2.6101 (2.7632)	Prec@1 39.062 (34.223)	Prec@5 67.188 (64.527)
Epoch: [17][9890/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 2.8166 (2.7632)	Prec@1 34.375 (34.222)	Prec@5 65.625 (64.525)
Epoch: [17][9900/14090]	Time 0.849 (0.766)	Data 0.001 (0.002)	Loss 2.9570 (2.7632)	Prec@1 28.906 (34.223)	Prec@5 66.406 (64.527)
Epoch: [17][9910/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 2.8484 (2.7632)	Prec@1 28.906 (34.223)	Prec@5 64.062 (64.527)
Epoch: [17][9920/14090]	Time 0.765 (0.766)	Data 0.001 (0.002)	Loss 2.8811 (2.7632)	Prec@1 32.812 (34.224)	Prec@5 58.594 (64.526)
Epoch: [17][9930/14090]	Time 0.768 (0.767)	Data 0.001 (0.002)	Loss 2.8945 (2.7633)	Prec@1 32.812 (34.222)	Prec@5 67.969 (64.527)
Epoch: [17][9940/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 2.6674 (2.7632)	Prec@1 32.812 (34.222)	Prec@5 64.062 (64.527)
Epoch: [17][9950/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 2.9176 (2.7632)	Prec@1 30.469 (34.221)	Prec@5 55.469 (64.526)
Epoch: [17][9960/14090]	Time 0.767 (0.767)	Data 0.001 (0.002)	Loss 2.4610 (2.7632)	Prec@1 42.188 (34.222)	Prec@5 74.219 (64.527)
Epoch: [17][9970/14090]	Time 0.893 (0.767)	Data 0.001 (0.002)	Loss 2.8182 (2.7632)	Prec@1 35.156 (34.221)	Prec@5 63.281 (64.527)
Epoch: [17][9980/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 2.8714 (2.7632)	Prec@1 34.375 (34.220)	Prec@5 63.281 (64.525)
Epoch: [17][9990/14090]	Time 0.716 (0.767)	Data 0.001 (0.002)	Loss 2.5936 (2.7633)	Prec@1 36.719 (34.219)	Prec@5 71.094 (64.525)
Epoch: [17][10000/14090]	Time 0.761 (0.767)	Data 0.001 (0.002)	Loss 2.6803 (2.7632)	Prec@1 35.156 (34.221)	Prec@5 69.531 (64.527)
Epoch: [17][10010/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 2.7872 (2.7632)	Prec@1 31.250 (34.221)	Prec@5 61.719 (64.526)
Epoch: [17][10020/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.6758 (2.7632)	Prec@1 35.156 (34.222)	Prec@5 67.188 (64.526)
Epoch: [17][10030/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 2.8355 (2.7632)	Prec@1 34.375 (34.221)	Prec@5 61.719 (64.526)
Epoch: [17][10040/14090]	Time 0.925 (0.767)	Data 0.001 (0.002)	Loss 2.6746 (2.7632)	Prec@1 38.281 (34.222)	Prec@5 59.375 (64.526)
Epoch: [17][10050/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 2.7828 (2.7632)	Prec@1 32.031 (34.222)	Prec@5 62.500 (64.526)
Epoch: [17][10060/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 2.5889 (2.7632)	Prec@1 42.188 (34.222)	Prec@5 70.312 (64.526)
Epoch: [17][10070/14090]	Time 0.765 (0.767)	Data 0.001 (0.002)	Loss 2.6761 (2.7632)	Prec@1 37.500 (34.222)	Prec@5 63.281 (64.526)
Epoch: [17][10080/14090]	Time 0.764 (0.766)	Data 0.001 (0.002)	Loss 2.6136 (2.7632)	Prec@1 36.719 (34.221)	Prec@5 68.750 (64.526)
Epoch: [17][10090/14090]	Time 0.764 (0.767)	Data 0.001 (0.002)	Loss 3.1092 (2.7631)	Prec@1 31.250 (34.221)	Prec@5 59.375 (64.527)
Epoch: [17][10100/14090]	Time 0.765 (0.767)	Data 0.001 (0.002)	Loss 2.7147 (2.7630)	Prec@1 34.375 (34.224)	Prec@5 64.844 (64.529)
Epoch: [17][10110/14090]	Time 0.895 (0.767)	Data 0.001 (0.002)	Loss 2.4544 (2.7629)	Prec@1 42.188 (34.224)	Prec@5 76.562 (64.532)
Epoch: [17][10120/14090]	Time 0.769 (0.767)	Data 0.001 (0.002)	Loss 3.0806 (2.7630)	Prec@1 35.156 (34.225)	Prec@5 62.500 (64.531)
Epoch: [17][10130/14090]	Time 0.725 (0.766)	Data 0.001 (0.002)	Loss 2.7972 (2.7629)	Prec@1 35.156 (34.226)	Prec@5 67.969 (64.532)
Epoch: [17][10140/14090]	Time 0.763 (0.766)	Data 0.001 (0.002)	Loss 2.7367 (2.7631)	Prec@1 33.594 (34.225)	Prec@5 61.719 (64.529)
Epoch: [17][10150/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 2.5172 (2.7630)	Prec@1 35.156 (34.226)	Prec@5 68.750 (64.531)
Epoch: [17][10160/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 2.9933 (2.7630)	Prec@1 28.125 (34.226)	Prec@5 60.938 (64.531)
Epoch: [17][10170/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.5055 (2.7630)	Prec@1 37.500 (34.227)	Prec@5 71.094 (64.532)
Epoch: [17][10180/14090]	Time 0.862 (0.766)	Data 0.001 (0.002)	Loss 2.5559 (2.7629)	Prec@1 37.500 (34.229)	Prec@5 65.625 (64.534)
Epoch: [17][10190/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.7809 (2.7630)	Prec@1 36.719 (34.228)	Prec@5 58.594 (64.532)
Epoch: [17][10200/14090]	Time 0.737 (0.766)	Data 0.002 (0.002)	Loss 2.7174 (2.7630)	Prec@1 34.375 (34.229)	Prec@5 66.406 (64.534)
Epoch: [17][10210/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 2.8382 (2.7630)	Prec@1 32.031 (34.228)	Prec@5 67.969 (64.535)
Epoch: [17][10220/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 2.7732 (2.7631)	Prec@1 30.469 (34.226)	Prec@5 62.500 (64.533)
Epoch: [17][10230/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 2.7696 (2.7631)	Prec@1 41.406 (34.228)	Prec@5 61.719 (64.533)
Epoch: [17][10240/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.7768 (2.7630)	Prec@1 40.625 (34.229)	Prec@5 62.500 (64.533)
Epoch: [17][10250/14090]	Time 0.825 (0.766)	Data 0.001 (0.002)	Loss 3.1671 (2.7631)	Prec@1 27.344 (34.228)	Prec@5 53.906 (64.531)
Epoch: [17][10260/14090]	Time 0.766 (0.766)	Data 0.001 (0.002)	Loss 2.5891 (2.7631)	Prec@1 33.594 (34.228)	Prec@5 68.750 (64.531)
Epoch: [17][10270/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 2.6774 (2.7630)	Prec@1 35.938 (34.230)	Prec@5 66.406 (64.533)
Epoch: [17][10280/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 2.9234 (2.7629)	Prec@1 28.125 (34.230)	Prec@5 58.594 (64.534)
Epoch: [17][10290/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.6034 (2.7629)	Prec@1 38.281 (34.233)	Prec@5 69.531 (64.535)
Epoch: [17][10300/14090]	Time 0.727 (0.766)	Data 0.001 (0.002)	Loss 2.5134 (2.7628)	Prec@1 38.281 (34.232)	Prec@5 69.531 (64.536)
Epoch: [17][10310/14090]	Time 0.725 (0.766)	Data 0.001 (0.002)	Loss 2.4285 (2.7627)	Prec@1 40.625 (34.234)	Prec@5 72.656 (64.538)
Epoch: [17][10320/14090]	Time 0.847 (0.766)	Data 0.001 (0.002)	Loss 2.7410 (2.7628)	Prec@1 30.469 (34.233)	Prec@5 60.938 (64.538)
Epoch: [17][10330/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.8932 (2.7627)	Prec@1 31.250 (34.234)	Prec@5 62.500 (64.539)
Epoch: [17][10340/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 2.7998 (2.7628)	Prec@1 32.812 (34.232)	Prec@5 63.281 (64.539)
Epoch: [17][10350/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 2.8218 (2.7628)	Prec@1 33.594 (34.232)	Prec@5 67.188 (64.538)
Epoch: [17][10360/14090]	Time 0.785 (0.766)	Data 0.001 (0.002)	Loss 3.0739 (2.7628)	Prec@1 29.688 (34.230)	Prec@5 57.812 (64.537)
Epoch: [17][10370/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 2.7972 (2.7629)	Prec@1 28.125 (34.229)	Prec@5 64.844 (64.536)
Epoch: [17][10380/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 2.9098 (2.7629)	Prec@1 29.688 (34.230)	Prec@5 59.375 (64.534)
Epoch: [17][10390/14090]	Time 0.888 (0.766)	Data 0.001 (0.002)	Loss 2.9959 (2.7630)	Prec@1 32.812 (34.228)	Prec@5 63.281 (64.531)
Epoch: [17][10400/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.8693 (2.7630)	Prec@1 31.250 (34.228)	Prec@5 65.625 (64.532)
Epoch: [17][10410/14090]	Time 0.761 (0.766)	Data 0.001 (0.002)	Loss 3.1878 (2.7631)	Prec@1 28.906 (34.227)	Prec@5 53.125 (64.529)
Epoch: [17][10420/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 3.0222 (2.7632)	Prec@1 28.125 (34.225)	Prec@5 60.938 (64.528)
Epoch: [17][10430/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 2.8121 (2.7632)	Prec@1 32.812 (34.224)	Prec@5 65.625 (64.527)
Epoch: [17][10440/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 2.7382 (2.7631)	Prec@1 31.250 (34.222)	Prec@5 64.062 (64.530)
Epoch: [17][10450/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 2.6800 (2.7631)	Prec@1 30.469 (34.222)	Prec@5 64.844 (64.529)
Epoch: [17][10460/14090]	Time 0.800 (0.766)	Data 0.001 (0.002)	Loss 3.2411 (2.7631)	Prec@1 27.344 (34.223)	Prec@5 56.250 (64.528)
Epoch: [17][10470/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.4234 (2.7631)	Prec@1 46.094 (34.223)	Prec@5 71.875 (64.529)
Epoch: [17][10480/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.5980 (2.7630)	Prec@1 37.500 (34.223)	Prec@5 73.438 (64.530)
Epoch: [17][10490/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.9459 (2.7629)	Prec@1 36.719 (34.225)	Prec@5 60.156 (64.531)
Epoch: [17][10500/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 2.6544 (2.7629)	Prec@1 31.250 (34.224)	Prec@5 67.969 (64.531)
Epoch: [17][10510/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.6405 (2.7629)	Prec@1 37.500 (34.225)	Prec@5 65.625 (64.532)
Epoch: [17][10520/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.6522 (2.7629)	Prec@1 33.594 (34.224)	Prec@5 67.188 (64.531)
Epoch: [17][10530/14090]	Time 0.848 (0.766)	Data 0.001 (0.002)	Loss 2.7701 (2.7629)	Prec@1 32.031 (34.223)	Prec@5 64.844 (64.531)
Epoch: [17][10540/14090]	Time 0.766 (0.766)	Data 0.001 (0.002)	Loss 2.7913 (2.7629)	Prec@1 32.812 (34.222)	Prec@5 65.625 (64.531)
Epoch: [17][10550/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 2.9558 (2.7630)	Prec@1 28.125 (34.222)	Prec@5 63.281 (64.529)
Epoch: [17][10560/14090]	Time 0.797 (0.766)	Data 0.001 (0.002)	Loss 2.3172 (2.7630)	Prec@1 45.312 (34.222)	Prec@5 72.656 (64.529)
Epoch: [17][10570/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 2.4927 (2.7630)	Prec@1 40.625 (34.221)	Prec@5 67.188 (64.529)
Epoch: [17][10580/14090]	Time 0.727 (0.766)	Data 0.001 (0.002)	Loss 2.9491 (2.7630)	Prec@1 30.469 (34.222)	Prec@5 61.719 (64.528)
Epoch: [17][10590/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 2.4589 (2.7630)	Prec@1 36.719 (34.223)	Prec@5 76.562 (64.528)
Epoch: [17][10600/14090]	Time 0.873 (0.766)	Data 0.001 (0.002)	Loss 2.5996 (2.7630)	Prec@1 37.500 (34.223)	Prec@5 68.750 (64.530)
Epoch: [17][10610/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 2.8642 (2.7630)	Prec@1 30.469 (34.223)	Prec@5 67.188 (64.530)
Epoch: [17][10620/14090]	Time 0.779 (0.766)	Data 0.001 (0.002)	Loss 2.8037 (2.7630)	Prec@1 34.375 (34.224)	Prec@5 60.938 (64.529)
Epoch: [17][10630/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.8194 (2.7630)	Prec@1 27.344 (34.223)	Prec@5 60.938 (64.530)
Epoch: [17][10640/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.9387 (2.7630)	Prec@1 37.500 (34.223)	Prec@5 56.250 (64.528)
Epoch: [17][10650/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 2.7484 (2.7631)	Prec@1 32.812 (34.223)	Prec@5 64.062 (64.527)
Epoch: [17][10660/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.5812 (2.7630)	Prec@1 35.156 (34.224)	Prec@5 68.750 (64.527)
Epoch: [17][10670/14090]	Time 0.847 (0.766)	Data 0.001 (0.002)	Loss 3.0168 (2.7630)	Prec@1 25.781 (34.223)	Prec@5 57.031 (64.528)
Epoch: [17][10680/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 3.0404 (2.7630)	Prec@1 29.688 (34.223)	Prec@5 63.281 (64.527)
Epoch: [17][10690/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 2.8592 (2.7630)	Prec@1 34.375 (34.222)	Prec@5 59.375 (64.527)
Epoch: [17][10700/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 2.5036 (2.7630)	Prec@1 42.969 (34.225)	Prec@5 75.000 (64.530)
Epoch: [17][10710/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.4218 (2.7628)	Prec@1 41.406 (34.228)	Prec@5 67.188 (64.533)
Epoch: [17][10720/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 2.6963 (2.7627)	Prec@1 32.812 (34.228)	Prec@5 64.062 (64.534)
Epoch: [17][10730/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.5947 (2.7628)	Prec@1 38.281 (34.227)	Prec@5 66.406 (64.532)
Epoch: [17][10740/14090]	Time 0.881 (0.766)	Data 0.001 (0.002)	Loss 2.8947 (2.7628)	Prec@1 27.344 (34.226)	Prec@5 68.750 (64.532)
Epoch: [17][10750/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.7427 (2.7627)	Prec@1 34.375 (34.229)	Prec@5 60.156 (64.533)
Epoch: [17][10760/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.7034 (2.7626)	Prec@1 32.812 (34.232)	Prec@5 67.969 (64.537)
Epoch: [17][10770/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 2.8225 (2.7626)	Prec@1 33.594 (34.232)	Prec@5 60.938 (64.538)
Epoch: [17][10780/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 2.6378 (2.7627)	Prec@1 33.594 (34.229)	Prec@5 66.406 (64.535)
Epoch: [17][10790/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.9584 (2.7627)	Prec@1 27.344 (34.229)	Prec@5 60.156 (64.534)
Epoch: [17][10800/14090]	Time 0.776 (0.766)	Data 0.001 (0.002)	Loss 2.6962 (2.7627)	Prec@1 35.938 (34.227)	Prec@5 62.500 (64.533)
Epoch: [17][10810/14090]	Time 0.857 (0.766)	Data 0.002 (0.002)	Loss 2.4741 (2.7627)	Prec@1 39.062 (34.227)	Prec@5 65.625 (64.533)
Epoch: [17][10820/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.6982 (2.7627)	Prec@1 33.594 (34.225)	Prec@5 68.750 (64.532)
Epoch: [17][10830/14090]	Time 0.761 (0.766)	Data 0.001 (0.002)	Loss 3.0928 (2.7628)	Prec@1 32.031 (34.224)	Prec@5 62.500 (64.530)
Epoch: [17][10840/14090]	Time 0.722 (0.766)	Data 0.001 (0.002)	Loss 3.0187 (2.7627)	Prec@1 32.031 (34.225)	Prec@5 60.938 (64.531)
Epoch: [17][10850/14090]	Time 0.778 (0.766)	Data 0.001 (0.002)	Loss 2.6493 (2.7628)	Prec@1 37.500 (34.225)	Prec@5 67.188 (64.530)
Epoch: [17][10860/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 2.5042 (2.7627)	Prec@1 40.625 (34.225)	Prec@5 69.531 (64.532)
Epoch: [17][10870/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 2.8184 (2.7627)	Prec@1 30.469 (34.225)	Prec@5 64.062 (64.532)
Epoch: [17][10880/14090]	Time 0.866 (0.766)	Data 0.001 (0.002)	Loss 2.8752 (2.7628)	Prec@1 25.781 (34.222)	Prec@5 66.406 (64.530)
Epoch: [17][10890/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.3526 (2.7628)	Prec@1 42.188 (34.221)	Prec@5 69.531 (64.531)
Epoch: [17][10900/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 3.0484 (2.7629)	Prec@1 29.688 (34.220)	Prec@5 54.688 (64.530)
Epoch: [17][10910/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.6484 (2.7629)	Prec@1 34.375 (34.220)	Prec@5 70.312 (64.530)
Epoch: [17][10920/14090]	Time 0.761 (0.766)	Data 0.001 (0.002)	Loss 2.6188 (2.7629)	Prec@1 35.938 (34.218)	Prec@5 68.750 (64.529)
Epoch: [17][10930/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 2.7768 (2.7629)	Prec@1 39.062 (34.220)	Prec@5 63.281 (64.529)
Epoch: [17][10940/14090]	Time 0.761 (0.766)	Data 0.001 (0.002)	Loss 3.0281 (2.7630)	Prec@1 29.688 (34.219)	Prec@5 58.594 (64.528)
Epoch: [17][10950/14090]	Time 0.842 (0.766)	Data 0.001 (0.002)	Loss 2.8164 (2.7630)	Prec@1 32.812 (34.221)	Prec@5 64.062 (64.529)
Epoch: [17][10960/14090]	Time 0.728 (0.766)	Data 0.001 (0.002)	Loss 2.6101 (2.7631)	Prec@1 35.156 (34.220)	Prec@5 66.406 (64.528)
Epoch: [17][10970/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 2.6873 (2.7631)	Prec@1 32.812 (34.220)	Prec@5 67.969 (64.529)
Epoch: [17][10980/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 3.0031 (2.7631)	Prec@1 28.125 (34.219)	Prec@5 60.938 (64.527)
Epoch: [17][10990/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 2.9952 (2.7631)	Prec@1 34.375 (34.219)	Prec@5 60.156 (64.528)
Epoch: [17][11000/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 2.6246 (2.7631)	Prec@1 35.938 (34.218)	Prec@5 67.188 (64.528)
Epoch: [17][11010/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.7158 (2.7631)	Prec@1 32.031 (34.218)	Prec@5 64.844 (64.527)
Epoch: [17][11020/14090]	Time 0.821 (0.766)	Data 0.001 (0.002)	Loss 3.3433 (2.7631)	Prec@1 23.438 (34.218)	Prec@5 51.562 (64.528)
Epoch: [17][11030/14090]	Time 0.779 (0.766)	Data 0.001 (0.002)	Loss 2.7394 (2.7631)	Prec@1 28.906 (34.218)	Prec@5 63.281 (64.528)
Epoch: [17][11040/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 2.9334 (2.7631)	Prec@1 31.250 (34.221)	Prec@5 65.625 (64.529)
Epoch: [17][11050/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.6662 (2.7631)	Prec@1 33.594 (34.220)	Prec@5 66.406 (64.528)
Epoch: [17][11060/14090]	Time 0.761 (0.766)	Data 0.001 (0.002)	Loss 2.4447 (2.7631)	Prec@1 40.625 (34.221)	Prec@5 71.875 (64.528)
Epoch: [17][11070/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.7269 (2.7630)	Prec@1 32.031 (34.221)	Prec@5 69.531 (64.530)
Epoch: [17][11080/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.8893 (2.7630)	Prec@1 32.812 (34.221)	Prec@5 64.062 (64.530)
Epoch: [17][11090/14090]	Time 0.841 (0.766)	Data 0.001 (0.002)	Loss 2.9250 (2.7630)	Prec@1 35.156 (34.219)	Prec@5 57.812 (64.530)
Epoch: [17][11100/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.9248 (2.7631)	Prec@1 31.250 (34.218)	Prec@5 63.281 (64.528)
Epoch: [17][11110/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 2.6712 (2.7632)	Prec@1 36.719 (34.218)	Prec@5 69.531 (64.527)
Epoch: [17][11120/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 2.5196 (2.7631)	Prec@1 36.719 (34.218)	Prec@5 70.312 (64.528)
Epoch: [17][11130/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.8551 (2.7631)	Prec@1 32.812 (34.220)	Prec@5 67.188 (64.529)
Epoch: [17][11140/14090]	Time 0.772 (0.766)	Data 0.001 (0.002)	Loss 2.9274 (2.7631)	Prec@1 30.469 (34.219)	Prec@5 58.594 (64.528)
Epoch: [17][11150/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 3.1791 (2.7631)	Prec@1 27.344 (34.219)	Prec@5 53.906 (64.528)
Epoch: [17][11160/14090]	Time 0.837 (0.766)	Data 0.001 (0.002)	Loss 2.6604 (2.7631)	Prec@1 39.844 (34.219)	Prec@5 69.531 (64.528)
Epoch: [17][11170/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.8614 (2.7631)	Prec@1 31.250 (34.219)	Prec@5 65.625 (64.528)
Epoch: [17][11180/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 2.9227 (2.7631)	Prec@1 30.469 (34.220)	Prec@5 60.938 (64.529)
Epoch: [17][11190/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 3.0266 (2.7631)	Prec@1 32.812 (34.221)	Prec@5 55.469 (64.528)
Epoch: [17][11200/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 2.8018 (2.7631)	Prec@1 37.500 (34.221)	Prec@5 63.281 (64.528)
Epoch: [17][11210/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.6398 (2.7630)	Prec@1 35.938 (34.221)	Prec@5 64.844 (64.529)
Epoch: [17][11220/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 2.7748 (2.7631)	Prec@1 32.812 (34.220)	Prec@5 69.531 (64.530)
Epoch: [17][11230/14090]	Time 0.868 (0.766)	Data 0.001 (0.002)	Loss 2.7174 (2.7631)	Prec@1 33.594 (34.221)	Prec@5 65.625 (64.530)
Epoch: [17][11240/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.5813 (2.7630)	Prec@1 34.375 (34.222)	Prec@5 68.750 (64.532)
Epoch: [17][11250/14090]	Time 0.727 (0.766)	Data 0.001 (0.002)	Loss 2.9529 (2.7631)	Prec@1 27.344 (34.220)	Prec@5 62.500 (64.530)
Epoch: [17][11260/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 2.7169 (2.7632)	Prec@1 35.156 (34.217)	Prec@5 68.750 (64.528)
Epoch: [17][11270/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.8331 (2.7632)	Prec@1 36.719 (34.217)	Prec@5 61.719 (64.527)
Epoch: [17][11280/14090]	Time 0.763 (0.766)	Data 0.001 (0.002)	Loss 2.8810 (2.7632)	Prec@1 33.594 (34.217)	Prec@5 60.938 (64.527)
Epoch: [17][11290/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.8348 (2.7631)	Prec@1 35.156 (34.218)	Prec@5 59.375 (64.527)
Epoch: [17][11300/14090]	Time 0.867 (0.766)	Data 0.001 (0.002)	Loss 2.7435 (2.7632)	Prec@1 34.375 (34.217)	Prec@5 63.281 (64.528)
Epoch: [17][11310/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 2.8729 (2.7632)	Prec@1 28.906 (34.215)	Prec@5 60.938 (64.528)
Epoch: [17][11320/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 2.8595 (2.7632)	Prec@1 32.031 (34.215)	Prec@5 64.844 (64.527)
Epoch: [17][11330/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.5722 (2.7631)	Prec@1 35.938 (34.217)	Prec@5 60.938 (64.528)
Epoch: [17][11340/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.8976 (2.7631)	Prec@1 35.156 (34.216)	Prec@5 61.719 (64.528)
Epoch: [17][11350/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.6848 (2.7631)	Prec@1 35.938 (34.215)	Prec@5 65.625 (64.528)
Epoch: [17][11360/14090]	Time 0.725 (0.766)	Data 0.001 (0.002)	Loss 2.5955 (2.7632)	Prec@1 32.031 (34.214)	Prec@5 67.969 (64.526)
Epoch: [17][11370/14090]	Time 0.845 (0.766)	Data 0.001 (0.002)	Loss 2.9071 (2.7632)	Prec@1 29.688 (34.216)	Prec@5 67.969 (64.526)
Epoch: [17][11380/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 2.8081 (2.7631)	Prec@1 39.062 (34.218)	Prec@5 64.844 (64.529)
Epoch: [17][11390/14090]	Time 0.768 (0.766)	Data 0.001 (0.002)	Loss 2.4009 (2.7630)	Prec@1 43.750 (34.217)	Prec@5 71.094 (64.529)
Epoch: [17][11400/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.8484 (2.7630)	Prec@1 36.719 (34.218)	Prec@5 60.156 (64.532)
Epoch: [17][11410/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 3.0806 (2.7629)	Prec@1 28.125 (34.218)	Prec@5 59.375 (64.533)
Epoch: [17][11420/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.9842 (2.7629)	Prec@1 28.125 (34.217)	Prec@5 61.719 (64.534)
Epoch: [17][11430/14090]	Time 0.766 (0.766)	Data 0.001 (0.002)	Loss 2.7257 (2.7629)	Prec@1 32.812 (34.218)	Prec@5 67.188 (64.534)
Epoch: [17][11440/14090]	Time 0.867 (0.766)	Data 0.001 (0.002)	Loss 2.9851 (2.7629)	Prec@1 32.812 (34.217)	Prec@5 61.719 (64.534)
Epoch: [17][11450/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 2.7617 (2.7628)	Prec@1 32.812 (34.217)	Prec@5 64.062 (64.536)
Epoch: [17][11460/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.3960 (2.7628)	Prec@1 39.062 (34.217)	Prec@5 77.344 (64.539)
Epoch: [17][11470/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.8270 (2.7627)	Prec@1 34.375 (34.216)	Prec@5 65.625 (64.538)
Epoch: [17][11480/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 2.5957 (2.7628)	Prec@1 33.594 (34.217)	Prec@5 67.188 (64.537)
Epoch: [17][11490/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.9520 (2.7628)	Prec@1 32.031 (34.218)	Prec@5 61.719 (64.537)
Epoch: [17][11500/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 2.6979 (2.7628)	Prec@1 32.031 (34.217)	Prec@5 64.062 (64.537)
Epoch: [17][11510/14090]	Time 0.873 (0.766)	Data 0.001 (0.002)	Loss 2.3337 (2.7628)	Prec@1 45.312 (34.217)	Prec@5 73.438 (64.537)
Epoch: [17][11520/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.8104 (2.7627)	Prec@1 32.812 (34.217)	Prec@5 60.156 (64.537)
Epoch: [17][11530/14090]	Time 0.781 (0.766)	Data 0.001 (0.002)	Loss 2.6275 (2.7628)	Prec@1 39.062 (34.217)	Prec@5 67.969 (64.538)
Epoch: [17][11540/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.8767 (2.7628)	Prec@1 32.031 (34.216)	Prec@5 61.719 (64.537)
Epoch: [17][11550/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 2.8067 (2.7628)	Prec@1 32.812 (34.215)	Prec@5 64.844 (64.538)
Epoch: [17][11560/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 2.8690 (2.7628)	Prec@1 28.125 (34.214)	Prec@5 62.500 (64.538)
Epoch: [17][11570/14090]	Time 0.752 (0.766)	Data 0.002 (0.002)	Loss 2.7116 (2.7629)	Prec@1 35.938 (34.213)	Prec@5 64.844 (64.535)
Epoch: [17][11580/14090]	Time 0.866 (0.766)	Data 0.001 (0.002)	Loss 2.6175 (2.7629)	Prec@1 32.812 (34.212)	Prec@5 65.625 (64.534)
Epoch: [17][11590/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 3.3278 (2.7629)	Prec@1 28.125 (34.211)	Prec@5 53.125 (64.532)
Epoch: [17][11600/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 2.5686 (2.7630)	Prec@1 33.594 (34.210)	Prec@5 67.969 (64.532)
Epoch: [17][11610/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.9957 (2.7630)	Prec@1 28.906 (34.209)	Prec@5 62.500 (64.531)
Epoch: [17][11620/14090]	Time 0.766 (0.766)	Data 0.001 (0.002)	Loss 2.7571 (2.7630)	Prec@1 34.375 (34.209)	Prec@5 68.750 (64.534)
Epoch: [17][11630/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 2.9236 (2.7630)	Prec@1 35.938 (34.209)	Prec@5 62.500 (64.534)
Epoch: [17][11640/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.9303 (2.7631)	Prec@1 28.906 (34.208)	Prec@5 62.500 (64.532)
Epoch: [17][11650/14090]	Time 0.896 (0.766)	Data 0.001 (0.002)	Loss 2.8177 (2.7631)	Prec@1 29.688 (34.208)	Prec@5 64.844 (64.531)
Epoch: [17][11660/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.7052 (2.7631)	Prec@1 39.062 (34.209)	Prec@5 66.406 (64.532)
Epoch: [17][11670/14090]	Time 0.761 (0.766)	Data 0.001 (0.002)	Loss 3.0309 (2.7631)	Prec@1 29.688 (34.210)	Prec@5 57.812 (64.532)
Epoch: [17][11680/14090]	Time 0.782 (0.766)	Data 0.001 (0.002)	Loss 2.8950 (2.7631)	Prec@1 31.250 (34.209)	Prec@5 59.375 (64.530)
Epoch: [17][11690/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.9958 (2.7632)	Prec@1 32.031 (34.209)	Prec@5 67.969 (64.530)
Epoch: [17][11700/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.5867 (2.7632)	Prec@1 36.719 (34.208)	Prec@5 70.312 (64.531)
Epoch: [17][11710/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.8306 (2.7632)	Prec@1 33.594 (34.209)	Prec@5 64.062 (64.531)
Epoch: [17][11720/14090]	Time 0.864 (0.766)	Data 0.001 (0.002)	Loss 2.8433 (2.7631)	Prec@1 35.938 (34.208)	Prec@5 63.281 (64.532)
Epoch: [17][11730/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 2.6582 (2.7631)	Prec@1 32.812 (34.210)	Prec@5 67.188 (64.534)
Epoch: [17][11740/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 2.5962 (2.7631)	Prec@1 33.594 (34.211)	Prec@5 69.531 (64.533)
Epoch: [17][11750/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.8532 (2.7631)	Prec@1 33.594 (34.210)	Prec@5 64.062 (64.533)
Epoch: [17][11760/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 2.7924 (2.7631)	Prec@1 31.250 (34.209)	Prec@5 66.406 (64.533)
Epoch: [17][11770/14090]	Time 0.762 (0.766)	Data 0.002 (0.002)	Loss 2.7493 (2.7630)	Prec@1 36.719 (34.210)	Prec@5 64.062 (64.532)
Epoch: [17][11780/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.6084 (2.7630)	Prec@1 36.719 (34.209)	Prec@5 64.844 (64.532)
Epoch: [17][11790/14090]	Time 0.875 (0.766)	Data 0.001 (0.002)	Loss 2.8546 (2.7630)	Prec@1 30.469 (34.208)	Prec@5 63.281 (64.532)
Epoch: [17][11800/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 2.6712 (2.7631)	Prec@1 32.812 (34.208)	Prec@5 63.281 (64.530)
Epoch: [17][11810/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.6335 (2.7631)	Prec@1 36.719 (34.209)	Prec@5 69.531 (64.530)
Epoch: [17][11820/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 2.4521 (2.7631)	Prec@1 41.406 (34.209)	Prec@5 71.094 (64.531)
Epoch: [17][11830/14090]	Time 0.791 (0.766)	Data 0.001 (0.002)	Loss 2.5886 (2.7632)	Prec@1 35.938 (34.208)	Prec@5 66.406 (64.530)
Epoch: [17][11840/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 2.8188 (2.7631)	Prec@1 30.469 (34.208)	Prec@5 67.188 (64.531)
Epoch: [17][11850/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.3543 (2.7631)	Prec@1 41.406 (34.209)	Prec@5 71.875 (64.531)
Epoch: [17][11860/14090]	Time 0.840 (0.766)	Data 0.001 (0.002)	Loss 2.9427 (2.7631)	Prec@1 32.031 (34.209)	Prec@5 62.500 (64.532)
Epoch: [17][11870/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.8542 (2.7631)	Prec@1 30.469 (34.210)	Prec@5 64.062 (64.531)
Epoch: [17][11880/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.9256 (2.7631)	Prec@1 32.812 (34.210)	Prec@5 61.719 (64.531)
Epoch: [17][11890/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 2.8068 (2.7630)	Prec@1 31.250 (34.210)	Prec@5 66.406 (64.532)
Epoch: [17][11900/14090]	Time 0.765 (0.766)	Data 0.001 (0.002)	Loss 2.9297 (2.7631)	Prec@1 29.688 (34.207)	Prec@5 61.719 (64.530)
Epoch: [17][11910/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 2.3795 (2.7631)	Prec@1 42.969 (34.206)	Prec@5 72.656 (64.532)
Epoch: [17][11920/14090]	Time 0.774 (0.766)	Data 0.001 (0.002)	Loss 2.4231 (2.7631)	Prec@1 37.500 (34.206)	Prec@5 73.438 (64.531)
Epoch: [17][11930/14090]	Time 0.847 (0.766)	Data 0.001 (0.002)	Loss 2.7497 (2.7631)	Prec@1 35.938 (34.207)	Prec@5 67.188 (64.531)
Epoch: [17][11940/14090]	Time 0.764 (0.766)	Data 0.001 (0.002)	Loss 2.6668 (2.7631)	Prec@1 37.500 (34.206)	Prec@5 68.750 (64.531)
Epoch: [17][11950/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 2.8895 (2.7631)	Prec@1 35.156 (34.206)	Prec@5 61.719 (64.532)
Epoch: [17][11960/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 2.5091 (2.7631)	Prec@1 33.594 (34.207)	Prec@5 72.656 (64.532)
Epoch: [17][11970/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.7042 (2.7630)	Prec@1 32.031 (34.208)	Prec@5 67.969 (64.535)
Epoch: [17][11980/14090]	Time 0.770 (0.766)	Data 0.001 (0.002)	Loss 2.6587 (2.7630)	Prec@1 36.719 (34.209)	Prec@5 66.406 (64.535)
Epoch: [17][11990/14090]	Time 0.771 (0.766)	Data 0.001 (0.002)	Loss 2.8685 (2.7630)	Prec@1 31.250 (34.209)	Prec@5 62.500 (64.535)
Epoch: [17][12000/14090]	Time 0.876 (0.766)	Data 0.001 (0.002)	Loss 2.2012 (2.7629)	Prec@1 46.094 (34.209)	Prec@5 76.562 (64.536)
Epoch: [17][12010/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.9546 (2.7630)	Prec@1 28.125 (34.208)	Prec@5 57.031 (64.534)
Epoch: [17][12020/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.5215 (2.7630)	Prec@1 41.406 (34.208)	Prec@5 74.219 (64.533)
Epoch: [17][12030/14090]	Time 0.726 (0.766)	Data 0.001 (0.002)	Loss 2.4859 (2.7630)	Prec@1 35.938 (34.209)	Prec@5 71.094 (64.535)
Epoch: [17][12040/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 3.1089 (2.7631)	Prec@1 27.344 (34.207)	Prec@5 53.125 (64.534)
Epoch: [17][12050/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 2.5585 (2.7630)	Prec@1 36.719 (34.208)	Prec@5 70.312 (64.535)
Epoch: [17][12060/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 3.0469 (2.7630)	Prec@1 29.688 (34.208)	Prec@5 53.125 (64.533)
Epoch: [17][12070/14090]	Time 0.865 (0.766)	Data 0.001 (0.002)	Loss 2.9653 (2.7630)	Prec@1 28.125 (34.208)	Prec@5 62.500 (64.533)
Epoch: [17][12080/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 2.8436 (2.7630)	Prec@1 24.219 (34.207)	Prec@5 60.938 (64.534)
Epoch: [17][12090/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 2.8792 (2.7629)	Prec@1 32.812 (34.208)	Prec@5 61.719 (64.536)
Epoch: [17][12100/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 3.0490 (2.7630)	Prec@1 31.250 (34.207)	Prec@5 67.969 (64.535)
Epoch: [17][12110/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.6851 (2.7630)	Prec@1 39.844 (34.208)	Prec@5 70.312 (64.535)
Epoch: [17][12120/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.7809 (2.7630)	Prec@1 28.906 (34.208)	Prec@5 62.500 (64.535)
Epoch: [17][12130/14090]	Time 0.770 (0.766)	Data 0.001 (0.001)	Loss 2.6189 (2.7630)	Prec@1 37.500 (34.208)	Prec@5 64.844 (64.535)
Epoch: [17][12140/14090]	Time 0.864 (0.766)	Data 0.001 (0.001)	Loss 2.8276 (2.7630)	Prec@1 31.250 (34.207)	Prec@5 64.062 (64.535)
Epoch: [17][12150/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.9186 (2.7630)	Prec@1 26.562 (34.208)	Prec@5 63.281 (64.536)
Epoch: [17][12160/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 2.5516 (2.7629)	Prec@1 37.500 (34.208)	Prec@5 71.875 (64.538)
Epoch: [17][12170/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.8187 (2.7629)	Prec@1 35.938 (34.209)	Prec@5 65.625 (64.538)
Epoch: [17][12180/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.8976 (2.7629)	Prec@1 29.688 (34.208)	Prec@5 59.375 (64.537)
Epoch: [17][12190/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.6513 (2.7629)	Prec@1 35.156 (34.208)	Prec@5 69.531 (64.537)
Epoch: [17][12200/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.8421 (2.7629)	Prec@1 38.281 (34.209)	Prec@5 60.156 (64.538)
Epoch: [17][12210/14090]	Time 0.843 (0.766)	Data 0.001 (0.001)	Loss 2.9322 (2.7629)	Prec@1 36.719 (34.208)	Prec@5 60.938 (64.538)
Epoch: [17][12220/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.5885 (2.7629)	Prec@1 39.844 (34.208)	Prec@5 67.969 (64.538)
Epoch: [17][12230/14090]	Time 0.770 (0.766)	Data 0.001 (0.001)	Loss 2.8160 (2.7630)	Prec@1 32.031 (34.205)	Prec@5 63.281 (64.537)
Epoch: [17][12240/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.3981 (2.7630)	Prec@1 42.969 (34.207)	Prec@5 68.750 (64.536)
Epoch: [17][12250/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.8618 (2.7629)	Prec@1 32.031 (34.208)	Prec@5 59.375 (64.536)
Epoch: [17][12260/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.8503 (2.7629)	Prec@1 28.906 (34.209)	Prec@5 60.156 (64.536)
Epoch: [17][12270/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.8096 (2.7629)	Prec@1 30.469 (34.209)	Prec@5 67.969 (64.537)
Epoch: [17][12280/14090]	Time 0.889 (0.766)	Data 0.001 (0.001)	Loss 2.6660 (2.7629)	Prec@1 39.844 (34.209)	Prec@5 68.750 (64.537)
Epoch: [17][12290/14090]	Time 0.767 (0.766)	Data 0.001 (0.001)	Loss 2.6903 (2.7630)	Prec@1 39.062 (34.208)	Prec@5 66.406 (64.535)
Epoch: [17][12300/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.7090 (2.7629)	Prec@1 39.844 (34.211)	Prec@5 63.281 (64.535)
Epoch: [17][12310/14090]	Time 0.776 (0.766)	Data 0.001 (0.001)	Loss 2.7538 (2.7629)	Prec@1 33.594 (34.210)	Prec@5 67.969 (64.535)
Epoch: [17][12320/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.8685 (2.7629)	Prec@1 32.812 (34.210)	Prec@5 61.719 (64.536)
Epoch: [17][12330/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.7049 (2.7630)	Prec@1 35.938 (34.209)	Prec@5 62.500 (64.534)
Epoch: [17][12340/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.7205 (2.7630)	Prec@1 33.594 (34.209)	Prec@5 65.625 (64.534)
Epoch: [17][12350/14090]	Time 0.881 (0.766)	Data 0.001 (0.001)	Loss 2.6083 (2.7629)	Prec@1 36.719 (34.209)	Prec@5 71.875 (64.536)
Epoch: [17][12360/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 2.9320 (2.7630)	Prec@1 37.500 (34.211)	Prec@5 57.031 (64.534)
Epoch: [17][12370/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.7664 (2.7630)	Prec@1 31.250 (34.209)	Prec@5 69.531 (64.533)
Epoch: [17][12380/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 2.6678 (2.7630)	Prec@1 37.500 (34.210)	Prec@5 65.625 (64.533)
Epoch: [17][12390/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.7405 (2.7631)	Prec@1 28.906 (34.208)	Prec@5 66.406 (64.532)
Epoch: [17][12400/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.8658 (2.7631)	Prec@1 34.375 (34.208)	Prec@5 64.844 (64.531)
Epoch: [17][12410/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.8660 (2.7632)	Prec@1 32.031 (34.207)	Prec@5 55.469 (64.530)
Epoch: [17][12420/14090]	Time 0.861 (0.766)	Data 0.001 (0.001)	Loss 2.7654 (2.7632)	Prec@1 35.156 (34.206)	Prec@5 64.062 (64.529)
Epoch: [17][12430/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.7602 (2.7632)	Prec@1 32.812 (34.207)	Prec@5 64.062 (64.530)
Epoch: [17][12440/14090]	Time 0.774 (0.766)	Data 0.001 (0.001)	Loss 2.6585 (2.7632)	Prec@1 31.250 (34.207)	Prec@5 67.188 (64.531)
Epoch: [17][12450/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.5580 (2.7632)	Prec@1 41.406 (34.208)	Prec@5 66.406 (64.531)
Epoch: [17][12460/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.6224 (2.7632)	Prec@1 35.938 (34.208)	Prec@5 69.531 (64.531)
Epoch: [17][12470/14090]	Time 0.768 (0.766)	Data 0.001 (0.001)	Loss 2.5454 (2.7632)	Prec@1 33.594 (34.205)	Prec@5 67.188 (64.530)
Epoch: [17][12480/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.4458 (2.7632)	Prec@1 36.719 (34.205)	Prec@5 73.438 (64.531)
Epoch: [17][12490/14090]	Time 0.863 (0.766)	Data 0.001 (0.001)	Loss 2.7230 (2.7632)	Prec@1 39.844 (34.206)	Prec@5 67.969 (64.530)
Epoch: [17][12500/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.5592 (2.7632)	Prec@1 40.625 (34.206)	Prec@5 66.406 (64.529)
Epoch: [17][12510/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.9147 (2.7633)	Prec@1 30.469 (34.205)	Prec@5 62.500 (64.527)
Epoch: [17][12520/14090]	Time 0.771 (0.766)	Data 0.001 (0.001)	Loss 2.7255 (2.7633)	Prec@1 35.938 (34.206)	Prec@5 64.062 (64.526)
Epoch: [17][12530/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.6639 (2.7634)	Prec@1 37.500 (34.203)	Prec@5 63.281 (64.523)
Epoch: [17][12540/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 2.7728 (2.7634)	Prec@1 35.938 (34.204)	Prec@5 63.281 (64.523)
Epoch: [17][12550/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.6345 (2.7635)	Prec@1 41.406 (34.203)	Prec@5 70.312 (64.522)
Epoch: [17][12560/14090]	Time 0.839 (0.766)	Data 0.001 (0.001)	Loss 3.1998 (2.7635)	Prec@1 29.688 (34.203)	Prec@5 56.250 (64.521)
Epoch: [17][12570/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.6722 (2.7634)	Prec@1 39.062 (34.203)	Prec@5 67.188 (64.523)
Epoch: [17][12580/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.7607 (2.7635)	Prec@1 29.688 (34.202)	Prec@5 64.844 (64.523)
Epoch: [17][12590/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 2.6708 (2.7635)	Prec@1 38.281 (34.202)	Prec@5 66.406 (64.522)
Epoch: [17][12600/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.7530 (2.7635)	Prec@1 29.688 (34.200)	Prec@5 68.750 (64.521)
Epoch: [17][12610/14090]	Time 0.777 (0.766)	Data 0.001 (0.001)	Loss 2.5431 (2.7635)	Prec@1 39.062 (34.200)	Prec@5 70.312 (64.521)
Epoch: [17][12620/14090]	Time 0.770 (0.766)	Data 0.001 (0.001)	Loss 2.9161 (2.7635)	Prec@1 32.031 (34.199)	Prec@5 62.500 (64.521)
Epoch: [17][12630/14090]	Time 0.845 (0.766)	Data 0.001 (0.001)	Loss 2.7994 (2.7635)	Prec@1 32.031 (34.199)	Prec@5 63.281 (64.521)
Epoch: [17][12640/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.4715 (2.7635)	Prec@1 37.500 (34.200)	Prec@5 71.094 (64.522)
Epoch: [17][12650/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.6502 (2.7635)	Prec@1 41.406 (34.200)	Prec@5 64.062 (64.523)
Epoch: [17][12660/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.7241 (2.7636)	Prec@1 34.375 (34.199)	Prec@5 63.281 (64.523)
Epoch: [17][12670/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.7816 (2.7636)	Prec@1 30.469 (34.198)	Prec@5 61.719 (64.521)
Epoch: [17][12680/14090]	Time 0.722 (0.766)	Data 0.001 (0.001)	Loss 2.9755 (2.7637)	Prec@1 26.562 (34.196)	Prec@5 60.156 (64.520)
Epoch: [17][12690/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 2.5156 (2.7636)	Prec@1 36.719 (34.195)	Prec@5 67.969 (64.520)
Epoch: [17][12700/14090]	Time 0.863 (0.766)	Data 0.001 (0.001)	Loss 3.0657 (2.7636)	Prec@1 27.344 (34.196)	Prec@5 55.469 (64.520)
Epoch: [17][12710/14090]	Time 0.767 (0.766)	Data 0.001 (0.001)	Loss 2.4258 (2.7636)	Prec@1 42.969 (34.196)	Prec@5 68.750 (64.521)
Epoch: [17][12720/14090]	Time 0.785 (0.766)	Data 0.001 (0.001)	Loss 2.8801 (2.7636)	Prec@1 36.719 (34.195)	Prec@5 64.062 (64.520)
Epoch: [17][12730/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.7132 (2.7636)	Prec@1 38.281 (34.194)	Prec@5 64.062 (64.520)
Epoch: [17][12740/14090]	Time 0.742 (0.766)	Data 0.002 (0.001)	Loss 2.5525 (2.7637)	Prec@1 39.844 (34.194)	Prec@5 65.625 (64.518)
Epoch: [17][12750/14090]	Time 0.772 (0.766)	Data 0.001 (0.001)	Loss 2.9631 (2.7637)	Prec@1 28.125 (34.194)	Prec@5 64.062 (64.518)
Epoch: [17][12760/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.6803 (2.7637)	Prec@1 34.375 (34.195)	Prec@5 67.188 (64.519)
Epoch: [17][12770/14090]	Time 0.901 (0.766)	Data 0.001 (0.001)	Loss 2.5729 (2.7637)	Prec@1 31.250 (34.195)	Prec@5 69.531 (64.518)
Epoch: [17][12780/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 2.6951 (2.7637)	Prec@1 37.500 (34.195)	Prec@5 65.625 (64.517)
Epoch: [17][12790/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.8153 (2.7636)	Prec@1 29.688 (34.195)	Prec@5 62.500 (64.519)
Epoch: [17][12800/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 2.7213 (2.7636)	Prec@1 31.250 (34.195)	Prec@5 60.156 (64.520)
Epoch: [17][12810/14090]	Time 0.769 (0.767)	Data 0.001 (0.001)	Loss 2.6599 (2.7636)	Prec@1 34.375 (34.195)	Prec@5 64.844 (64.520)
Epoch: [17][12820/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 2.6227 (2.7636)	Prec@1 34.375 (34.194)	Prec@5 67.969 (64.520)
Epoch: [17][12830/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.6188 (2.7635)	Prec@1 34.375 (34.195)	Prec@5 67.969 (64.521)
Epoch: [17][12840/14090]	Time 0.867 (0.767)	Data 0.001 (0.001)	Loss 2.5344 (2.7636)	Prec@1 35.156 (34.194)	Prec@5 75.000 (64.520)
Epoch: [17][12850/14090]	Time 0.778 (0.767)	Data 0.001 (0.001)	Loss 2.9144 (2.7636)	Prec@1 33.594 (34.194)	Prec@5 57.031 (64.519)
Epoch: [17][12860/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.7920 (2.7636)	Prec@1 36.719 (34.193)	Prec@5 64.062 (64.519)
Epoch: [17][12870/14090]	Time 0.769 (0.767)	Data 0.001 (0.001)	Loss 2.2789 (2.7635)	Prec@1 46.094 (34.194)	Prec@5 71.875 (64.521)
Epoch: [17][12880/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 2.7928 (2.7635)	Prec@1 34.375 (34.193)	Prec@5 62.500 (64.520)
Epoch: [17][12890/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 2.8093 (2.7635)	Prec@1 34.375 (34.194)	Prec@5 63.281 (64.520)
Epoch: [17][12900/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 2.7223 (2.7635)	Prec@1 35.156 (34.193)	Prec@5 67.188 (64.521)
Epoch: [17][12910/14090]	Time 0.870 (0.767)	Data 0.001 (0.001)	Loss 2.6824 (2.7635)	Prec@1 33.594 (34.194)	Prec@5 63.281 (64.521)
Epoch: [17][12920/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 2.9715 (2.7635)	Prec@1 27.344 (34.194)	Prec@5 60.938 (64.521)
Epoch: [17][12930/14090]	Time 0.772 (0.767)	Data 0.001 (0.001)	Loss 2.7104 (2.7635)	Prec@1 36.719 (34.194)	Prec@5 64.844 (64.521)
Epoch: [17][12940/14090]	Time 0.767 (0.767)	Data 0.001 (0.001)	Loss 2.9196 (2.7635)	Prec@1 29.688 (34.193)	Prec@5 59.375 (64.521)
Epoch: [17][12950/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 2.9214 (2.7636)	Prec@1 32.031 (34.191)	Prec@5 63.281 (64.519)
Epoch: [17][12960/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 2.6539 (2.7636)	Prec@1 35.156 (34.190)	Prec@5 67.969 (64.520)
Epoch: [17][12970/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 2.9990 (2.7637)	Prec@1 29.688 (34.191)	Prec@5 60.938 (64.520)
Epoch: [17][12980/14090]	Time 0.900 (0.767)	Data 0.001 (0.001)	Loss 2.7323 (2.7636)	Prec@1 39.844 (34.191)	Prec@5 63.281 (64.522)
Epoch: [17][12990/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 2.9430 (2.7636)	Prec@1 35.938 (34.192)	Prec@5 58.594 (64.523)
Epoch: [17][13000/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 2.8115 (2.7635)	Prec@1 31.250 (34.191)	Prec@5 65.625 (64.524)
Epoch: [17][13010/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 2.7555 (2.7636)	Prec@1 35.156 (34.191)	Prec@5 65.625 (64.522)
Epoch: [17][13020/14090]	Time 0.772 (0.767)	Data 0.001 (0.001)	Loss 2.7917 (2.7636)	Prec@1 35.938 (34.190)	Prec@5 67.188 (64.523)
Epoch: [17][13030/14090]	Time 0.765 (0.767)	Data 0.001 (0.001)	Loss 2.3718 (2.7636)	Prec@1 40.625 (34.191)	Prec@5 72.656 (64.523)
Epoch: [17][13040/14090]	Time 0.727 (0.767)	Data 0.001 (0.001)	Loss 2.4250 (2.7636)	Prec@1 43.750 (34.193)	Prec@5 73.438 (64.524)
Epoch: [17][13050/14090]	Time 0.861 (0.767)	Data 0.001 (0.001)	Loss 2.6614 (2.7635)	Prec@1 36.719 (34.194)	Prec@5 62.500 (64.524)
Epoch: [17][13060/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 2.8293 (2.7635)	Prec@1 27.344 (34.193)	Prec@5 64.844 (64.523)
Epoch: [17][13070/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 2.6927 (2.7635)	Prec@1 39.844 (34.194)	Prec@5 68.750 (64.522)
Epoch: [17][13080/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.7943 (2.7635)	Prec@1 36.719 (34.195)	Prec@5 63.281 (64.523)
Epoch: [17][13090/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 2.8488 (2.7636)	Prec@1 36.719 (34.196)	Prec@5 60.938 (64.521)
Epoch: [17][13100/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.2686 (2.7636)	Prec@1 42.969 (34.195)	Prec@5 76.562 (64.522)
Epoch: [17][13110/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 3.0886 (2.7636)	Prec@1 24.219 (34.195)	Prec@5 56.250 (64.522)
Epoch: [17][13120/14090]	Time 0.862 (0.767)	Data 0.001 (0.001)	Loss 2.7993 (2.7636)	Prec@1 32.031 (34.191)	Prec@5 64.844 (64.520)
Epoch: [17][13130/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 3.0293 (2.7637)	Prec@1 29.688 (34.190)	Prec@5 56.250 (64.519)
Epoch: [17][13140/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 2.6353 (2.7637)	Prec@1 36.719 (34.190)	Prec@5 69.531 (64.519)
Epoch: [17][13150/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.7422 (2.7637)	Prec@1 37.500 (34.192)	Prec@5 65.625 (64.520)
Epoch: [17][13160/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 2.7207 (2.7637)	Prec@1 28.906 (34.192)	Prec@5 66.406 (64.519)
Epoch: [17][13170/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 2.8956 (2.7637)	Prec@1 30.469 (34.191)	Prec@5 63.281 (64.520)
Epoch: [17][13180/14090]	Time 0.765 (0.767)	Data 0.001 (0.001)	Loss 3.0547 (2.7637)	Prec@1 28.906 (34.191)	Prec@5 59.375 (64.520)
Epoch: [17][13190/14090]	Time 0.868 (0.767)	Data 0.001 (0.001)	Loss 3.1001 (2.7636)	Prec@1 29.688 (34.191)	Prec@5 53.125 (64.520)
Epoch: [17][13200/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 2.9629 (2.7637)	Prec@1 32.031 (34.191)	Prec@5 67.969 (64.521)
Epoch: [17][13210/14090]	Time 0.726 (0.767)	Data 0.001 (0.001)	Loss 2.5832 (2.7637)	Prec@1 48.438 (34.191)	Prec@5 68.750 (64.519)
Epoch: [17][13220/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.7499 (2.7637)	Prec@1 32.031 (34.192)	Prec@5 67.188 (64.520)
Epoch: [17][13230/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 2.8052 (2.7638)	Prec@1 35.156 (34.190)	Prec@5 63.281 (64.518)
Epoch: [17][13240/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 3.0719 (2.7638)	Prec@1 35.156 (34.191)	Prec@5 60.156 (64.516)
Epoch: [17][13250/14090]	Time 0.764 (0.767)	Data 0.001 (0.001)	Loss 2.7739 (2.7637)	Prec@1 32.031 (34.193)	Prec@5 67.188 (64.517)
Epoch: [17][13260/14090]	Time 0.852 (0.767)	Data 0.001 (0.001)	Loss 2.7618 (2.7637)	Prec@1 30.469 (34.191)	Prec@5 63.281 (64.516)
Epoch: [17][13270/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 2.6051 (2.7637)	Prec@1 41.406 (34.192)	Prec@5 71.094 (64.517)
Epoch: [17][13280/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 2.6357 (2.7637)	Prec@1 33.594 (34.192)	Prec@5 69.531 (64.518)
Epoch: [17][13290/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 2.7693 (2.7637)	Prec@1 34.375 (34.193)	Prec@5 70.312 (64.519)
Epoch: [17][13300/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 2.6804 (2.7636)	Prec@1 33.594 (34.194)	Prec@5 63.281 (64.520)
Epoch: [17][13310/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 2.7084 (2.7636)	Prec@1 32.031 (34.194)	Prec@5 66.406 (64.520)
Epoch: [17][13320/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 2.8636 (2.7636)	Prec@1 37.500 (34.194)	Prec@5 60.938 (64.521)
Epoch: [17][13330/14090]	Time 0.879 (0.767)	Data 0.001 (0.001)	Loss 2.8416 (2.7637)	Prec@1 32.031 (34.193)	Prec@5 66.406 (64.520)
Epoch: [17][13340/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 2.7204 (2.7637)	Prec@1 32.031 (34.193)	Prec@5 64.062 (64.519)
Epoch: [17][13350/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 2.7913 (2.7637)	Prec@1 31.250 (34.193)	Prec@5 63.281 (64.519)
Epoch: [17][13360/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 2.7029 (2.7637)	Prec@1 35.156 (34.193)	Prec@5 58.594 (64.519)
Epoch: [17][13370/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 2.8163 (2.7637)	Prec@1 30.469 (34.192)	Prec@5 64.062 (64.518)
Epoch: [17][13380/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 2.7228 (2.7636)	Prec@1 38.281 (34.192)	Prec@5 65.625 (64.520)
Epoch: [17][13390/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 2.7778 (2.7636)	Prec@1 34.375 (34.193)	Prec@5 64.062 (64.521)
Epoch: [17][13400/14090]	Time 0.878 (0.767)	Data 0.001 (0.001)	Loss 2.5676 (2.7637)	Prec@1 40.625 (34.192)	Prec@5 71.875 (64.521)
Epoch: [17][13410/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 2.6858 (2.7637)	Prec@1 30.469 (34.192)	Prec@5 66.406 (64.521)
Epoch: [17][13420/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 2.8121 (2.7636)	Prec@1 32.812 (34.192)	Prec@5 64.844 (64.522)
Epoch: [17][13430/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 2.6903 (2.7637)	Prec@1 35.156 (34.192)	Prec@5 65.625 (64.521)
Epoch: [17][13440/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 2.8165 (2.7637)	Prec@1 34.375 (34.191)	Prec@5 63.281 (64.521)
Epoch: [17][13450/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 2.9721 (2.7637)	Prec@1 32.031 (34.192)	Prec@5 60.156 (64.522)
Epoch: [17][13460/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 2.6516 (2.7638)	Prec@1 36.719 (34.192)	Prec@5 65.625 (64.520)
Epoch: [17][13470/14090]	Time 0.901 (0.767)	Data 0.001 (0.001)	Loss 2.4868 (2.7637)	Prec@1 40.625 (34.194)	Prec@5 71.875 (64.521)
Epoch: [17][13480/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 2.8544 (2.7637)	Prec@1 29.688 (34.192)	Prec@5 59.375 (64.521)
Epoch: [17][13490/14090]	Time 0.787 (0.767)	Data 0.001 (0.001)	Loss 2.6606 (2.7637)	Prec@1 36.719 (34.193)	Prec@5 61.719 (64.521)
Epoch: [17][13500/14090]	Time 0.787 (0.767)	Data 0.001 (0.001)	Loss 2.7808 (2.7637)	Prec@1 32.812 (34.194)	Prec@5 67.969 (64.522)
Epoch: [17][13510/14090]	Time 0.803 (0.767)	Data 0.001 (0.001)	Loss 2.8729 (2.7637)	Prec@1 29.688 (34.194)	Prec@5 57.812 (64.521)
Epoch: [17][13520/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 2.4691 (2.7637)	Prec@1 37.500 (34.195)	Prec@5 67.969 (64.523)
Epoch: [17][13530/14090]	Time 0.763 (0.767)	Data 0.001 (0.001)	Loss 2.6470 (2.7636)	Prec@1 34.375 (34.196)	Prec@5 65.625 (64.524)
Epoch: [17][13540/14090]	Time 0.844 (0.767)	Data 0.001 (0.001)	Loss 2.7971 (2.7637)	Prec@1 28.906 (34.194)	Prec@5 59.375 (64.522)
Epoch: [17][13550/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 2.9600 (2.7638)	Prec@1 34.375 (34.194)	Prec@5 64.062 (64.522)
Epoch: [17][13560/14090]	Time 0.724 (0.767)	Data 0.001 (0.001)	Loss 2.4805 (2.7638)	Prec@1 45.312 (34.194)	Prec@5 66.406 (64.521)
Epoch: [17][13570/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 2.9928 (2.7638)	Prec@1 32.031 (34.195)	Prec@5 60.938 (64.520)
Epoch: [17][13580/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 2.7306 (2.7638)	Prec@1 34.375 (34.194)	Prec@5 67.188 (64.519)
Epoch: [17][13590/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.8349 (2.7638)	Prec@1 26.562 (34.194)	Prec@5 67.969 (64.519)
Epoch: [17][13600/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 2.9912 (2.7638)	Prec@1 27.344 (34.195)	Prec@5 61.719 (64.520)
Epoch: [17][13610/14090]	Time 0.878 (0.767)	Data 0.001 (0.001)	Loss 2.6858 (2.7638)	Prec@1 34.375 (34.194)	Prec@5 66.406 (64.519)
Epoch: [17][13620/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 3.1242 (2.7638)	Prec@1 25.781 (34.195)	Prec@5 58.594 (64.519)
Epoch: [17][13630/14090]	Time 0.770 (0.767)	Data 0.001 (0.001)	Loss 2.6271 (2.7637)	Prec@1 36.719 (34.197)	Prec@5 67.969 (64.520)
Epoch: [17][13640/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 2.7862 (2.7637)	Prec@1 31.250 (34.198)	Prec@5 63.281 (64.520)
Epoch: [17][13650/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.7537 (2.7637)	Prec@1 32.812 (34.198)	Prec@5 64.844 (64.520)
Epoch: [17][13660/14090]	Time 0.775 (0.767)	Data 0.001 (0.001)	Loss 3.1967 (2.7637)	Prec@1 27.344 (34.199)	Prec@5 57.031 (64.519)
Epoch: [17][13670/14090]	Time 0.765 (0.767)	Data 0.001 (0.001)	Loss 2.6582 (2.7637)	Prec@1 34.375 (34.198)	Prec@5 67.188 (64.520)
Epoch: [17][13680/14090]	Time 0.879 (0.767)	Data 0.001 (0.001)	Loss 2.7426 (2.7638)	Prec@1 35.938 (34.197)	Prec@5 63.281 (64.517)
Epoch: [17][13690/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.8040 (2.7637)	Prec@1 32.031 (34.199)	Prec@5 60.156 (64.517)
Epoch: [17][13700/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 2.8788 (2.7638)	Prec@1 27.344 (34.199)	Prec@5 65.625 (64.517)
Epoch: [17][13710/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 2.6507 (2.7638)	Prec@1 39.062 (34.199)	Prec@5 68.750 (64.518)
Epoch: [17][13720/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 2.8733 (2.7637)	Prec@1 32.031 (34.198)	Prec@5 61.719 (64.518)
Epoch: [17][13730/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 2.8458 (2.7638)	Prec@1 32.031 (34.198)	Prec@5 65.625 (64.517)
Epoch: [17][13740/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 2.9845 (2.7638)	Prec@1 25.000 (34.196)	Prec@5 62.500 (64.516)
Epoch: [17][13750/14090]	Time 0.895 (0.767)	Data 0.001 (0.001)	Loss 2.6653 (2.7638)	Prec@1 36.719 (34.196)	Prec@5 66.406 (64.517)
Epoch: [17][13760/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 2.6787 (2.7638)	Prec@1 38.281 (34.197)	Prec@5 63.281 (64.517)
Epoch: [17][13770/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 2.7524 (2.7638)	Prec@1 41.406 (34.197)	Prec@5 65.625 (64.516)
Epoch: [17][13780/14090]	Time 0.771 (0.767)	Data 0.001 (0.001)	Loss 2.9705 (2.7639)	Prec@1 32.812 (34.197)	Prec@5 59.375 (64.514)
Epoch: [17][13790/14090]	Time 0.773 (0.767)	Data 0.001 (0.001)	Loss 2.6696 (2.7639)	Prec@1 42.969 (34.197)	Prec@5 66.406 (64.514)
Epoch: [17][13800/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 2.6322 (2.7639)	Prec@1 37.500 (34.197)	Prec@5 64.062 (64.513)
Epoch: [17][13810/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 3.0433 (2.7640)	Prec@1 32.031 (34.195)	Prec@5 59.375 (64.512)
Epoch: [17][13820/14090]	Time 0.886 (0.767)	Data 0.001 (0.001)	Loss 2.8459 (2.7640)	Prec@1 25.781 (34.195)	Prec@5 60.938 (64.511)
Epoch: [17][13830/14090]	Time 0.780 (0.767)	Data 0.001 (0.001)	Loss 2.5490 (2.7640)	Prec@1 39.062 (34.194)	Prec@5 70.312 (64.511)
Epoch: [17][13840/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.7095 (2.7640)	Prec@1 34.375 (34.193)	Prec@5 59.375 (64.511)
Epoch: [17][13850/14090]	Time 0.771 (0.767)	Data 0.001 (0.001)	Loss 2.7321 (2.7640)	Prec@1 32.031 (34.193)	Prec@5 60.938 (64.510)
Epoch: [17][13860/14090]	Time 0.769 (0.767)	Data 0.001 (0.001)	Loss 2.8825 (2.7640)	Prec@1 35.156 (34.193)	Prec@5 64.844 (64.510)
Epoch: [17][13870/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 2.8010 (2.7641)	Prec@1 34.375 (34.191)	Prec@5 64.844 (64.508)
Epoch: [17][13880/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 2.8333 (2.7641)	Prec@1 41.406 (34.193)	Prec@5 63.281 (64.508)
Epoch: [17][13890/14090]	Time 0.863 (0.767)	Data 0.001 (0.001)	Loss 2.8815 (2.7640)	Prec@1 32.812 (34.194)	Prec@5 62.500 (64.508)
Epoch: [17][13900/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.9322 (2.7640)	Prec@1 29.688 (34.194)	Prec@5 65.625 (64.510)
Epoch: [17][13910/14090]	Time 0.767 (0.767)	Data 0.001 (0.001)	Loss 2.4834 (2.7640)	Prec@1 38.281 (34.194)	Prec@5 68.750 (64.509)
Epoch: [17][13920/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 2.7288 (2.7640)	Prec@1 33.594 (34.194)	Prec@5 64.062 (64.509)
Epoch: [17][13930/14090]	Time 0.765 (0.767)	Data 0.001 (0.001)	Loss 2.7746 (2.7640)	Prec@1 36.719 (34.195)	Prec@5 59.375 (64.510)
Epoch: [17][13940/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 3.1319 (2.7640)	Prec@1 29.688 (34.194)	Prec@5 54.688 (64.509)
Epoch: [17][13950/14090]	Time 0.812 (0.767)	Data 0.001 (0.001)	Loss 2.5847 (2.7640)	Prec@1 42.188 (34.194)	Prec@5 66.406 (64.509)
Epoch: [17][13960/14090]	Time 0.839 (0.767)	Data 0.001 (0.001)	Loss 2.7302 (2.7640)	Prec@1 31.250 (34.193)	Prec@5 66.406 (64.508)
Epoch: [17][13970/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 2.9297 (2.7640)	Prec@1 31.250 (34.193)	Prec@5 60.156 (64.509)
Epoch: [17][13980/14090]	Time 0.765 (0.767)	Data 0.001 (0.001)	Loss 3.0225 (2.7640)	Prec@1 32.812 (34.195)	Prec@5 60.938 (64.509)
Epoch: [17][13990/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 2.8300 (2.7641)	Prec@1 32.812 (34.193)	Prec@5 68.750 (64.508)
Epoch: [17][14000/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.6977 (2.7641)	Prec@1 36.719 (34.192)	Prec@5 61.719 (64.507)
Epoch: [17][14010/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 2.6814 (2.7640)	Prec@1 32.031 (34.193)	Prec@5 67.969 (64.509)
Epoch: [17][14020/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 2.7505 (2.7640)	Prec@1 36.719 (34.193)	Prec@5 64.062 (64.508)
Epoch: [17][14030/14090]	Time 0.855 (0.767)	Data 0.001 (0.001)	Loss 2.6472 (2.7640)	Prec@1 35.938 (34.193)	Prec@5 67.969 (64.508)
Epoch: [17][14040/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.5387 (2.7640)	Prec@1 36.719 (34.193)	Prec@5 71.094 (64.509)
Epoch: [17][14050/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 2.4697 (2.7639)	Prec@1 41.406 (34.194)	Prec@5 71.094 (64.509)
Epoch: [17][14060/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 2.8235 (2.7639)	Prec@1 30.469 (34.195)	Prec@5 61.719 (64.509)
Epoch: [17][14070/14090]	Time 0.801 (0.767)	Data 0.001 (0.001)	Loss 3.0244 (2.7639)	Prec@1 24.219 (34.194)	Prec@5 59.375 (64.508)
Epoch: [17][14080/14090]	Time 0.735 (0.767)	Data 0.000 (0.001)	Loss 2.6151 (2.7639)	Prec@1 31.250 (34.194)	Prec@5 70.312 (64.509)
Test: [0/286]	Time 3.508 (3.508)	Loss 2.0262 (2.0262)	Prec@1 39.062 (39.062)	Prec@5 88.281 (88.281)
Test: [10/286]	Time 0.230 (0.566)	Loss 2.4647 (2.4589)	Prec@1 37.500 (37.429)	Prec@5 74.219 (73.509)
Test: [20/286]	Time 0.315 (0.430)	Loss 2.4543 (2.3280)	Prec@1 43.750 (42.076)	Prec@5 76.562 (75.223)
Test: [30/286]	Time 0.238 (0.381)	Loss 3.2277 (2.2469)	Prec@1 25.000 (44.078)	Prec@5 53.125 (75.353)
Test: [40/286]	Time 0.447 (0.361)	Loss 1.8691 (2.2856)	Prec@1 46.094 (43.178)	Prec@5 86.719 (74.771)
Test: [50/286]	Time 0.240 (0.351)	Loss 1.2224 (2.3035)	Prec@1 75.000 (42.984)	Prec@5 86.719 (74.311)
Test: [60/286]	Time 0.230 (0.339)	Loss 3.4328 (2.3343)	Prec@1 20.312 (42.853)	Prec@5 54.688 (73.130)
Test: [70/286]	Time 0.295 (0.332)	Loss 1.8212 (2.3241)	Prec@1 56.250 (42.914)	Prec@5 78.125 (73.294)
Test: [80/286]	Time 0.484 (0.327)	Loss 2.8501 (2.3710)	Prec@1 32.031 (41.474)	Prec@5 63.281 (72.521)
Test: [90/286]	Time 0.299 (0.323)	Loss 2.2507 (2.3964)	Prec@1 41.406 (40.591)	Prec@5 75.781 (72.141)
Test: [100/286]	Time 0.267 (0.320)	Loss 2.3933 (2.4086)	Prec@1 44.531 (40.292)	Prec@5 71.875 (72.138)
Test: [110/286]	Time 0.225 (0.316)	Loss 3.0316 (2.4211)	Prec@1 24.219 (39.900)	Prec@5 61.719 (72.072)
Test: [120/286]	Time 0.481 (0.317)	Loss 2.5195 (2.4151)	Prec@1 39.062 (40.134)	Prec@5 70.312 (72.230)
Test: [130/286]	Time 0.253 (0.315)	Loss 1.7341 (2.4189)	Prec@1 54.688 (40.058)	Prec@5 85.156 (72.179)
Test: [140/286]	Time 0.234 (0.313)	Loss 3.0980 (2.4347)	Prec@1 35.938 (39.816)	Prec@5 57.812 (71.930)
Test: [150/286]	Time 0.228 (0.311)	Loss 2.9688 (2.4563)	Prec@1 25.000 (38.861)	Prec@5 64.062 (71.668)
Test: [160/286]	Time 0.297 (0.310)	Loss 3.3926 (2.4592)	Prec@1 17.969 (38.669)	Prec@5 50.781 (71.671)
Test: [170/286]	Time 0.439 (0.311)	Loss 2.6376 (2.4566)	Prec@1 28.125 (38.683)	Prec@5 71.875 (71.729)
Test: [180/286]	Time 0.234 (0.310)	Loss 2.5025 (2.4621)	Prec@1 50.781 (38.678)	Prec@5 71.875 (71.750)
Test: [190/286]	Time 0.230 (0.308)	Loss 3.0243 (2.4769)	Prec@1 24.219 (38.563)	Prec@5 63.281 (71.339)
Test: [200/286]	Time 0.233 (0.307)	Loss 3.0870 (2.4784)	Prec@1 27.344 (38.542)	Prec@5 64.062 (71.319)
Test: [210/286]	Time 0.314 (0.308)	Loss 2.3595 (2.4879)	Prec@1 42.188 (38.266)	Prec@5 77.344 (71.123)
Test: [220/286]	Time 0.346 (0.307)	Loss 3.5336 (2.4878)	Prec@1 19.531 (38.409)	Prec@5 50.781 (71.034)
Test: [230/286]	Time 0.254 (0.306)	Loss 1.2135 (2.4851)	Prec@1 70.312 (38.555)	Prec@5 88.281 (70.942)
Test: [240/286]	Time 0.230 (0.305)	Loss 2.3164 (2.4904)	Prec@1 47.656 (38.495)	Prec@5 74.219 (70.909)
Test: [250/286]	Time 0.356 (0.306)	Loss 2.0393 (2.4791)	Prec@1 47.656 (38.627)	Prec@5 77.344 (71.240)
Test: [260/286]	Time 0.240 (0.305)	Loss 1.5278 (2.4631)	Prec@1 64.844 (39.012)	Prec@5 83.594 (71.489)
Test: [270/286]	Time 0.299 (0.304)	Loss 1.8296 (2.4587)	Prec@1 44.531 (39.002)	Prec@5 85.156 (71.627)
Test: [280/286]	Time 0.235 (0.304)	Loss 1.7196 (2.4437)	Prec@1 56.250 (39.432)	Prec@5 89.844 (71.869)
 * Prec@1 39.620 Prec@5 71.942
Epoch: [18][0/14090]	Time 4.747 (4.747)	Data 3.886 (3.886)	Loss 2.8792 (2.8792)	Prec@1 31.250 (31.250)	Prec@5 66.406 (66.406)
Epoch: [18][10/14090]	Time 0.726 (1.109)	Data 0.001 (0.354)	Loss 2.6642 (2.7813)	Prec@1 32.812 (33.026)	Prec@5 65.625 (65.341)
Epoch: [18][20/14090]	Time 0.743 (0.934)	Data 0.001 (0.186)	Loss 2.8973 (2.7477)	Prec@1 34.375 (34.338)	Prec@5 59.375 (64.472)
Epoch: [18][30/14090]	Time 0.752 (0.881)	Data 0.001 (0.126)	Loss 2.8308 (2.7635)	Prec@1 28.125 (34.073)	Prec@5 66.406 (63.987)
Epoch: [18][40/14090]	Time 0.759 (0.850)	Data 0.001 (0.096)	Loss 2.6454 (2.7529)	Prec@1 39.062 (33.899)	Prec@5 64.062 (64.272)
Epoch: [18][50/14090]	Time 0.764 (0.834)	Data 0.001 (0.077)	Loss 2.6202 (2.7388)	Prec@1 35.938 (34.283)	Prec@5 64.844 (64.721)
Epoch: [18][60/14090]	Time 0.784 (0.823)	Data 0.001 (0.064)	Loss 2.9937 (2.7542)	Prec@1 27.344 (34.068)	Prec@5 56.250 (64.613)
Epoch: [18][70/14090]	Time 0.863 (0.816)	Data 0.001 (0.056)	Loss 2.7519 (2.7387)	Prec@1 35.156 (34.353)	Prec@5 61.719 (64.745)
Epoch: [18][80/14090]	Time 0.762 (0.809)	Data 0.001 (0.049)	Loss 2.7976 (2.7554)	Prec@1 28.125 (33.980)	Prec@5 68.750 (64.506)
Epoch: [18][90/14090]	Time 0.746 (0.804)	Data 0.001 (0.043)	Loss 2.7168 (2.7589)	Prec@1 34.375 (33.740)	Prec@5 67.188 (64.397)
Epoch: [18][100/14090]	Time 0.783 (0.801)	Data 0.001 (0.039)	Loss 2.6726 (2.7558)	Prec@1 35.156 (33.834)	Prec@5 69.531 (64.534)
Epoch: [18][110/14090]	Time 0.730 (0.798)	Data 0.001 (0.036)	Loss 2.6094 (2.7597)	Prec@1 42.969 (33.678)	Prec@5 64.062 (64.379)
Epoch: [18][120/14090]	Time 0.760 (0.796)	Data 0.001 (0.033)	Loss 2.9171 (2.7557)	Prec@1 33.594 (33.820)	Prec@5 56.250 (64.482)
Epoch: [18][130/14090]	Time 0.761 (0.793)	Data 0.001 (0.030)	Loss 2.2835 (2.7545)	Prec@1 44.531 (33.892)	Prec@5 72.656 (64.468)
Epoch: [18][140/14090]	Time 0.896 (0.792)	Data 0.001 (0.028)	Loss 2.6061 (2.7527)	Prec@1 38.281 (33.915)	Prec@5 67.969 (64.500)
Epoch: [18][150/14090]	Time 0.753 (0.789)	Data 0.001 (0.027)	Loss 2.6539 (2.7571)	Prec@1 36.719 (33.775)	Prec@5 67.188 (64.528)
Epoch: [18][160/14090]	Time 0.762 (0.788)	Data 0.001 (0.025)	Loss 3.2054 (2.7638)	Prec@1 19.531 (33.599)	Prec@5 57.812 (64.451)
Epoch: [18][170/14090]	Time 0.739 (0.787)	Data 0.001 (0.024)	Loss 2.9291 (2.7638)	Prec@1 31.250 (33.690)	Prec@5 63.281 (64.506)
Epoch: [18][180/14090]	Time 0.750 (0.785)	Data 0.001 (0.022)	Loss 2.7624 (2.7628)	Prec@1 32.812 (33.779)	Prec@5 65.625 (64.507)
Epoch: [18][190/14090]	Time 0.753 (0.784)	Data 0.001 (0.021)	Loss 2.6280 (2.7603)	Prec@1 38.281 (33.823)	Prec@5 68.750 (64.590)
Epoch: [18][200/14090]	Time 0.739 (0.783)	Data 0.001 (0.020)	Loss 3.0146 (2.7654)	Prec@1 32.812 (33.784)	Prec@5 58.594 (64.447)
Epoch: [18][210/14090]	Time 0.888 (0.783)	Data 0.001 (0.019)	Loss 2.8055 (2.7667)	Prec@1 32.812 (33.879)	Prec@5 64.844 (64.425)
Epoch: [18][220/14090]	Time 0.755 (0.782)	Data 0.001 (0.018)	Loss 3.0733 (2.7712)	Prec@1 27.344 (33.721)	Prec@5 57.812 (64.335)
Epoch: [18][230/14090]	Time 0.768 (0.781)	Data 0.001 (0.018)	Loss 2.5932 (2.7673)	Prec@1 36.719 (33.776)	Prec@5 68.750 (64.465)
Epoch: [18][240/14090]	Time 0.760 (0.781)	Data 0.001 (0.017)	Loss 2.6987 (2.7644)	Prec@1 38.281 (33.879)	Prec@5 67.969 (64.494)
Epoch: [18][250/14090]	Time 0.752 (0.780)	Data 0.001 (0.016)	Loss 2.7653 (2.7646)	Prec@1 34.375 (33.861)	Prec@5 63.281 (64.476)
Epoch: [18][260/14090]	Time 0.745 (0.780)	Data 0.001 (0.016)	Loss 2.4901 (2.7573)	Prec@1 39.844 (34.064)	Prec@5 71.094 (64.670)
Epoch: [18][270/14090]	Time 0.786 (0.779)	Data 0.001 (0.015)	Loss 2.7337 (2.7571)	Prec@1 34.375 (34.133)	Prec@5 67.188 (64.668)
Epoch: [18][280/14090]	Time 0.883 (0.779)	Data 0.001 (0.015)	Loss 2.5378 (2.7546)	Prec@1 42.188 (34.217)	Prec@5 65.625 (64.699)
Epoch: [18][290/14090]	Time 0.763 (0.778)	Data 0.001 (0.014)	Loss 2.7947 (2.7555)	Prec@1 32.812 (34.286)	Prec@5 65.625 (64.707)
Epoch: [18][300/14090]	Time 0.726 (0.777)	Data 0.001 (0.014)	Loss 2.9974 (2.7580)	Prec@1 30.469 (34.256)	Prec@5 62.500 (64.709)
Epoch: [18][310/14090]	Time 0.748 (0.777)	Data 0.001 (0.013)	Loss 2.5609 (2.7557)	Prec@1 35.156 (34.282)	Prec@5 70.312 (64.748)
Epoch: [18][320/14090]	Time 0.735 (0.777)	Data 0.001 (0.013)	Loss 2.5409 (2.7551)	Prec@1 35.938 (34.297)	Prec@5 67.188 (64.732)
Epoch: [18][330/14090]	Time 0.754 (0.777)	Data 0.001 (0.013)	Loss 2.9916 (2.7548)	Prec@1 29.688 (34.314)	Prec@5 61.719 (64.723)
Epoch: [18][340/14090]	Time 0.767 (0.776)	Data 0.001 (0.012)	Loss 2.6085 (2.7530)	Prec@1 34.375 (34.341)	Prec@5 67.969 (64.766)
Epoch: [18][350/14090]	Time 0.830 (0.776)	Data 0.001 (0.012)	Loss 2.6687 (2.7528)	Prec@1 37.500 (34.386)	Prec@5 64.844 (64.777)
Epoch: [18][360/14090]	Time 0.755 (0.775)	Data 0.001 (0.012)	Loss 2.5931 (2.7519)	Prec@1 34.375 (34.418)	Prec@5 64.062 (64.772)
Epoch: [18][370/14090]	Time 0.753 (0.775)	Data 0.001 (0.011)	Loss 2.8793 (2.7504)	Prec@1 29.688 (34.451)	Prec@5 61.719 (64.804)
Epoch: [18][380/14090]	Time 0.730 (0.775)	Data 0.001 (0.011)	Loss 2.5155 (2.7500)	Prec@1 37.500 (34.459)	Prec@5 75.000 (64.846)
Epoch: [18][390/14090]	Time 0.751 (0.775)	Data 0.001 (0.011)	Loss 2.8470 (2.7502)	Prec@1 31.250 (34.463)	Prec@5 60.156 (64.824)
Epoch: [18][400/14090]	Time 0.729 (0.774)	Data 0.001 (0.010)	Loss 2.5037 (2.7508)	Prec@1 33.594 (34.412)	Prec@5 67.188 (64.805)
Epoch: [18][410/14090]	Time 0.770 (0.774)	Data 0.001 (0.010)	Loss 2.5705 (2.7478)	Prec@1 35.938 (34.443)	Prec@5 67.969 (64.886)
Epoch: [18][420/14090]	Time 0.844 (0.774)	Data 0.001 (0.010)	Loss 2.6614 (2.7496)	Prec@1 37.500 (34.395)	Prec@5 66.406 (64.870)
Epoch: [18][430/14090]	Time 0.744 (0.774)	Data 0.001 (0.010)	Loss 2.8220 (2.7513)	Prec@1 31.250 (34.393)	Prec@5 59.375 (64.847)
Epoch: [18][440/14090]	Time 0.744 (0.773)	Data 0.001 (0.010)	Loss 2.8923 (2.7531)	Prec@1 37.500 (34.379)	Prec@5 62.500 (64.819)
Epoch: [18][450/14090]	Time 0.762 (0.773)	Data 0.001 (0.009)	Loss 3.0550 (2.7536)	Prec@1 28.125 (34.375)	Prec@5 57.031 (64.811)
Epoch: [18][460/14090]	Time 0.740 (0.773)	Data 0.001 (0.009)	Loss 2.9979 (2.7554)	Prec@1 28.125 (34.341)	Prec@5 54.688 (64.776)
Epoch: [18][470/14090]	Time 0.759 (0.773)	Data 0.001 (0.009)	Loss 2.8343 (2.7571)	Prec@1 43.750 (34.342)	Prec@5 63.281 (64.739)
Epoch: [18][480/14090]	Time 0.757 (0.772)	Data 0.001 (0.009)	Loss 2.6068 (2.7559)	Prec@1 32.812 (34.343)	Prec@5 64.844 (64.758)
Epoch: [18][490/14090]	Time 0.851 (0.773)	Data 0.001 (0.009)	Loss 2.6889 (2.7545)	Prec@1 36.719 (34.367)	Prec@5 63.281 (64.794)
Epoch: [18][500/14090]	Time 0.757 (0.772)	Data 0.001 (0.009)	Loss 2.5482 (2.7537)	Prec@1 36.719 (34.381)	Prec@5 66.406 (64.833)
Epoch: [18][510/14090]	Time 0.724 (0.772)	Data 0.001 (0.008)	Loss 2.7778 (2.7542)	Prec@1 32.031 (34.360)	Prec@5 58.594 (64.783)
Epoch: [18][520/14090]	Time 0.755 (0.772)	Data 0.001 (0.008)	Loss 2.5939 (2.7541)	Prec@1 29.688 (34.356)	Prec@5 67.969 (64.787)
Epoch: [18][530/14090]	Time 0.746 (0.772)	Data 0.001 (0.008)	Loss 2.4976 (2.7551)	Prec@1 39.062 (34.346)	Prec@5 71.094 (64.791)
Epoch: [18][540/14090]	Time 0.745 (0.772)	Data 0.001 (0.008)	Loss 2.5680 (2.7535)	Prec@1 36.719 (34.398)	Prec@5 67.969 (64.816)
Epoch: [18][550/14090]	Time 0.759 (0.772)	Data 0.001 (0.008)	Loss 2.9714 (2.7532)	Prec@1 31.250 (34.409)	Prec@5 57.812 (64.830)
Epoch: [18][560/14090]	Time 0.857 (0.772)	Data 0.001 (0.008)	Loss 2.8480 (2.7518)	Prec@1 33.594 (34.438)	Prec@5 61.719 (64.838)
Epoch: [18][570/14090]	Time 0.743 (0.771)	Data 0.001 (0.008)	Loss 2.7371 (2.7520)	Prec@1 37.500 (34.456)	Prec@5 62.500 (64.833)
Epoch: [18][580/14090]	Time 0.728 (0.771)	Data 0.001 (0.007)	Loss 2.7742 (2.7520)	Prec@1 31.250 (34.442)	Prec@5 63.281 (64.813)
Epoch: [18][590/14090]	Time 0.737 (0.771)	Data 0.001 (0.007)	Loss 2.7927 (2.7527)	Prec@1 27.344 (34.436)	Prec@5 64.062 (64.797)
Epoch: [18][600/14090]	Time 0.738 (0.771)	Data 0.001 (0.007)	Loss 2.7016 (2.7518)	Prec@1 35.156 (34.476)	Prec@5 67.969 (64.815)
Epoch: [18][610/14090]	Time 0.758 (0.771)	Data 0.001 (0.007)	Loss 2.5398 (2.7526)	Prec@1 39.062 (34.459)	Prec@5 67.969 (64.807)
Epoch: [18][620/14090]	Time 0.728 (0.771)	Data 0.001 (0.007)	Loss 2.9845 (2.7528)	Prec@1 35.938 (34.459)	Prec@5 60.156 (64.803)
Epoch: [18][630/14090]	Time 0.854 (0.771)	Data 0.001 (0.007)	Loss 2.6473 (2.7519)	Prec@1 37.500 (34.468)	Prec@5 64.062 (64.812)
Epoch: [18][640/14090]	Time 0.745 (0.771)	Data 0.001 (0.007)	Loss 2.8187 (2.7518)	Prec@1 32.031 (34.459)	Prec@5 64.062 (64.828)
Epoch: [18][650/14090]	Time 0.746 (0.770)	Data 0.001 (0.007)	Loss 2.9083 (2.7520)	Prec@1 32.812 (34.464)	Prec@5 63.281 (64.822)
Epoch: [18][660/14090]	Time 0.750 (0.770)	Data 0.001 (0.007)	Loss 2.9651 (2.7533)	Prec@1 23.438 (34.442)	Prec@5 60.156 (64.806)
Epoch: [18][670/14090]	Time 0.751 (0.770)	Data 0.001 (0.007)	Loss 2.9272 (2.7534)	Prec@1 32.031 (34.452)	Prec@5 61.719 (64.817)
Epoch: [18][680/14090]	Time 0.733 (0.770)	Data 0.001 (0.006)	Loss 2.6626 (2.7534)	Prec@1 33.594 (34.442)	Prec@5 64.062 (64.815)
Epoch: [18][690/14090]	Time 0.749 (0.770)	Data 0.001 (0.006)	Loss 2.7932 (2.7544)	Prec@1 32.812 (34.418)	Prec@5 61.719 (64.784)
Epoch: [18][700/14090]	Time 0.867 (0.770)	Data 0.001 (0.006)	Loss 2.5718 (2.7557)	Prec@1 40.625 (34.413)	Prec@5 64.062 (64.736)
Epoch: [18][710/14090]	Time 0.746 (0.770)	Data 0.001 (0.006)	Loss 2.6427 (2.7552)	Prec@1 34.375 (34.412)	Prec@5 67.188 (64.765)
Epoch: [18][720/14090]	Time 0.736 (0.770)	Data 0.001 (0.006)	Loss 2.8259 (2.7555)	Prec@1 32.031 (34.408)	Prec@5 64.062 (64.751)
Epoch: [18][730/14090]	Time 0.780 (0.770)	Data 0.001 (0.006)	Loss 2.4965 (2.7542)	Prec@1 37.500 (34.423)	Prec@5 72.656 (64.771)
Epoch: [18][740/14090]	Time 0.746 (0.770)	Data 0.001 (0.006)	Loss 2.8538 (2.7532)	Prec@1 36.719 (34.423)	Prec@5 61.719 (64.791)
Epoch: [18][750/14090]	Time 0.727 (0.770)	Data 0.001 (0.006)	Loss 2.5877 (2.7532)	Prec@1 33.594 (34.419)	Prec@5 68.750 (64.799)
Epoch: [18][760/14090]	Time 0.752 (0.769)	Data 0.001 (0.006)	Loss 2.6434 (2.7538)	Prec@1 35.156 (34.420)	Prec@5 67.188 (64.806)
Epoch: [18][770/14090]	Time 0.875 (0.770)	Data 0.001 (0.006)	Loss 2.9713 (2.7542)	Prec@1 35.938 (34.418)	Prec@5 56.250 (64.804)
Epoch: [18][780/14090]	Time 0.748 (0.770)	Data 0.001 (0.006)	Loss 2.6449 (2.7547)	Prec@1 35.156 (34.411)	Prec@5 67.969 (64.799)
Epoch: [18][790/14090]	Time 0.740 (0.769)	Data 0.001 (0.006)	Loss 2.6257 (2.7552)	Prec@1 31.250 (34.387)	Prec@5 64.062 (64.796)
Epoch: [18][800/14090]	Time 0.757 (0.769)	Data 0.001 (0.006)	Loss 2.6649 (2.7547)	Prec@1 39.062 (34.417)	Prec@5 66.406 (64.796)
Epoch: [18][810/14090]	Time 0.752 (0.769)	Data 0.001 (0.006)	Loss 3.1146 (2.7549)	Prec@1 28.125 (34.388)	Prec@5 58.594 (64.806)
Epoch: [18][820/14090]	Time 0.724 (0.769)	Data 0.001 (0.006)	Loss 2.8829 (2.7556)	Prec@1 32.812 (34.377)	Prec@5 61.719 (64.790)
Epoch: [18][830/14090]	Time 0.755 (0.769)	Data 0.001 (0.005)	Loss 2.8310 (2.7552)	Prec@1 33.594 (34.389)	Prec@5 64.062 (64.796)
Epoch: [18][840/14090]	Time 0.890 (0.770)	Data 0.001 (0.005)	Loss 2.8911 (2.7541)	Prec@1 38.281 (34.421)	Prec@5 60.156 (64.804)
Epoch: [18][850/14090]	Time 0.726 (0.769)	Data 0.001 (0.005)	Loss 2.6149 (2.7540)	Prec@1 39.062 (34.448)	Prec@5 63.281 (64.802)
Epoch: [18][860/14090]	Time 0.749 (0.769)	Data 0.001 (0.005)	Loss 2.4300 (2.7534)	Prec@1 36.719 (34.448)	Prec@5 71.875 (64.817)
Epoch: [18][870/14090]	Time 0.760 (0.769)	Data 0.001 (0.005)	Loss 2.7310 (2.7522)	Prec@1 31.250 (34.475)	Prec@5 62.500 (64.844)
Epoch: [18][880/14090]	Time 0.762 (0.769)	Data 0.001 (0.005)	Loss 2.6913 (2.7524)	Prec@1 38.281 (34.484)	Prec@5 64.844 (64.857)
Epoch: [18][890/14090]	Time 0.761 (0.769)	Data 0.001 (0.005)	Loss 2.7491 (2.7523)	Prec@1 41.406 (34.507)	Prec@5 64.844 (64.854)
Epoch: [18][900/14090]	Time 0.763 (0.769)	Data 0.001 (0.005)	Loss 2.7183 (2.7528)	Prec@1 28.906 (34.487)	Prec@5 60.938 (64.845)
Epoch: [18][910/14090]	Time 0.869 (0.769)	Data 0.001 (0.005)	Loss 2.5843 (2.7528)	Prec@1 38.281 (34.474)	Prec@5 67.969 (64.828)
Epoch: [18][920/14090]	Time 0.727 (0.769)	Data 0.001 (0.005)	Loss 2.6871 (2.7526)	Prec@1 34.375 (34.494)	Prec@5 66.406 (64.832)
Epoch: [18][930/14090]	Time 0.754 (0.769)	Data 0.001 (0.005)	Loss 2.6207 (2.7519)	Prec@1 35.156 (34.508)	Prec@5 71.875 (64.841)
Epoch: [18][940/14090]	Time 0.752 (0.769)	Data 0.001 (0.005)	Loss 2.7880 (2.7526)	Prec@1 35.156 (34.473)	Prec@5 68.750 (64.829)
Epoch: [18][950/14090]	Time 0.749 (0.769)	Data 0.001 (0.005)	Loss 2.6593 (2.7524)	Prec@1 36.719 (34.479)	Prec@5 69.531 (64.840)
Epoch: [18][960/14090]	Time 0.748 (0.769)	Data 0.001 (0.005)	Loss 2.7180 (2.7531)	Prec@1 32.812 (34.452)	Prec@5 67.969 (64.827)
Epoch: [18][970/14090]	Time 0.774 (0.769)	Data 0.001 (0.005)	Loss 2.5970 (2.7533)	Prec@1 32.812 (34.451)	Prec@5 67.969 (64.822)
Epoch: [18][980/14090]	Time 0.841 (0.769)	Data 0.001 (0.005)	Loss 2.8835 (2.7535)	Prec@1 32.812 (34.437)	Prec@5 59.375 (64.817)
Epoch: [18][990/14090]	Time 0.742 (0.769)	Data 0.001 (0.005)	Loss 2.6790 (2.7530)	Prec@1 35.938 (34.459)	Prec@5 67.188 (64.828)
Epoch: [18][1000/14090]	Time 0.756 (0.769)	Data 0.001 (0.005)	Loss 2.5870 (2.7531)	Prec@1 37.500 (34.451)	Prec@5 64.062 (64.827)
Epoch: [18][1010/14090]	Time 0.782 (0.769)	Data 0.001 (0.005)	Loss 2.6084 (2.7532)	Prec@1 30.469 (34.430)	Prec@5 71.875 (64.824)
Epoch: [18][1020/14090]	Time 0.726 (0.769)	Data 0.001 (0.005)	Loss 2.8574 (2.7533)	Prec@1 27.344 (34.406)	Prec@5 63.281 (64.813)
Epoch: [18][1030/14090]	Time 0.724 (0.769)	Data 0.001 (0.005)	Loss 2.6419 (2.7528)	Prec@1 37.500 (34.423)	Prec@5 61.719 (64.802)
Epoch: [18][1040/14090]	Time 0.769 (0.769)	Data 0.001 (0.005)	Loss 2.9687 (2.7525)	Prec@1 31.250 (34.422)	Prec@5 57.031 (64.797)
Epoch: [18][1050/14090]	Time 0.845 (0.769)	Data 0.001 (0.004)	Loss 2.6988 (2.7521)	Prec@1 34.375 (34.431)	Prec@5 68.750 (64.805)
Epoch: [18][1060/14090]	Time 0.721 (0.768)	Data 0.001 (0.004)	Loss 2.7732 (2.7531)	Prec@1 30.469 (34.423)	Prec@5 61.719 (64.794)
Epoch: [18][1070/14090]	Time 0.738 (0.768)	Data 0.001 (0.004)	Loss 2.6224 (2.7531)	Prec@1 40.625 (34.417)	Prec@5 65.625 (64.799)
Epoch: [18][1080/14090]	Time 0.740 (0.768)	Data 0.001 (0.004)	Loss 2.7834 (2.7531)	Prec@1 34.375 (34.402)	Prec@5 61.719 (64.796)
Epoch: [18][1090/14090]	Time 0.747 (0.768)	Data 0.001 (0.004)	Loss 3.0157 (2.7534)	Prec@1 31.250 (34.396)	Prec@5 61.719 (64.785)
Epoch: [18][1100/14090]	Time 0.728 (0.768)	Data 0.001 (0.004)	Loss 3.0608 (2.7543)	Prec@1 26.562 (34.381)	Prec@5 63.281 (64.777)
Epoch: [18][1110/14090]	Time 0.754 (0.768)	Data 0.001 (0.004)	Loss 2.6875 (2.7540)	Prec@1 31.250 (34.376)	Prec@5 66.406 (64.777)
Epoch: [18][1120/14090]	Time 0.868 (0.768)	Data 0.001 (0.004)	Loss 2.6633 (2.7537)	Prec@1 34.375 (34.378)	Prec@5 68.750 (64.787)
Epoch: [18][1130/14090]	Time 0.758 (0.768)	Data 0.001 (0.004)	Loss 2.9072 (2.7540)	Prec@1 30.469 (34.365)	Prec@5 59.375 (64.780)
Epoch: [18][1140/14090]	Time 0.759 (0.768)	Data 0.001 (0.004)	Loss 2.6776 (2.7549)	Prec@1 32.812 (34.342)	Prec@5 69.531 (64.758)
Epoch: [18][1150/14090]	Time 0.742 (0.768)	Data 0.001 (0.004)	Loss 2.7639 (2.7551)	Prec@1 31.250 (34.336)	Prec@5 63.281 (64.751)
Epoch: [18][1160/14090]	Time 0.745 (0.768)	Data 0.001 (0.004)	Loss 2.6742 (2.7553)	Prec@1 35.156 (34.318)	Prec@5 63.281 (64.743)
Epoch: [18][1170/14090]	Time 0.756 (0.768)	Data 0.001 (0.004)	Loss 2.7952 (2.7546)	Prec@1 28.906 (34.322)	Prec@5 61.719 (64.759)
Epoch: [18][1180/14090]	Time 0.737 (0.768)	Data 0.001 (0.004)	Loss 3.0316 (2.7553)	Prec@1 26.562 (34.314)	Prec@5 57.031 (64.745)
Epoch: [18][1190/14090]	Time 0.850 (0.768)	Data 0.001 (0.004)	Loss 2.9961 (2.7561)	Prec@1 32.031 (34.303)	Prec@5 60.156 (64.730)
Epoch: [18][1200/14090]	Time 0.744 (0.768)	Data 0.001 (0.004)	Loss 2.6396 (2.7559)	Prec@1 37.500 (34.311)	Prec@5 67.188 (64.733)
Epoch: [18][1210/14090]	Time 0.752 (0.768)	Data 0.002 (0.004)	Loss 2.7925 (2.7558)	Prec@1 32.812 (34.316)	Prec@5 61.719 (64.744)
Epoch: [18][1220/14090]	Time 0.753 (0.768)	Data 0.001 (0.004)	Loss 2.8875 (2.7558)	Prec@1 39.062 (34.328)	Prec@5 59.375 (64.746)
Epoch: [18][1230/14090]	Time 0.745 (0.768)	Data 0.001 (0.004)	Loss 3.0695 (2.7562)	Prec@1 29.688 (34.336)	Prec@5 57.812 (64.747)
Epoch: [18][1240/14090]	Time 0.754 (0.768)	Data 0.001 (0.004)	Loss 2.6152 (2.7561)	Prec@1 32.812 (34.332)	Prec@5 67.969 (64.759)
Epoch: [18][1250/14090]	Time 0.740 (0.768)	Data 0.001 (0.004)	Loss 2.7598 (2.7562)	Prec@1 45.312 (34.347)	Prec@5 69.531 (64.768)
Epoch: [18][1260/14090]	Time 0.869 (0.768)	Data 0.001 (0.004)	Loss 2.7195 (2.7564)	Prec@1 32.812 (34.339)	Prec@5 61.719 (64.769)
Epoch: [18][1270/14090]	Time 0.762 (0.768)	Data 0.001 (0.004)	Loss 2.7751 (2.7559)	Prec@1 35.156 (34.341)	Prec@5 64.844 (64.780)
Epoch: [18][1280/14090]	Time 0.751 (0.768)	Data 0.001 (0.004)	Loss 2.6187 (2.7555)	Prec@1 35.156 (34.352)	Prec@5 65.625 (64.789)
Epoch: [18][1290/14090]	Time 0.745 (0.768)	Data 0.001 (0.004)	Loss 3.1699 (2.7567)	Prec@1 28.125 (34.340)	Prec@5 58.594 (64.772)
Epoch: [18][1300/14090]	Time 0.749 (0.768)	Data 0.001 (0.004)	Loss 2.5060 (2.7562)	Prec@1 35.938 (34.343)	Prec@5 71.094 (64.782)
Epoch: [18][1310/14090]	Time 0.748 (0.768)	Data 0.001 (0.004)	Loss 2.7132 (2.7558)	Prec@1 33.594 (34.352)	Prec@5 67.969 (64.797)
Epoch: [18][1320/14090]	Time 0.749 (0.768)	Data 0.001 (0.004)	Loss 2.8691 (2.7560)	Prec@1 29.688 (34.337)	Prec@5 61.719 (64.785)
Epoch: [18][1330/14090]	Time 0.868 (0.768)	Data 0.001 (0.004)	Loss 2.5100 (2.7554)	Prec@1 39.062 (34.352)	Prec@5 68.750 (64.806)
Epoch: [18][1340/14090]	Time 0.724 (0.768)	Data 0.001 (0.004)	Loss 2.6556 (2.7547)	Prec@1 38.281 (34.376)	Prec@5 70.312 (64.823)
Epoch: [18][1350/14090]	Time 0.747 (0.768)	Data 0.001 (0.004)	Loss 2.6302 (2.7544)	Prec@1 40.625 (34.379)	Prec@5 66.406 (64.826)
Epoch: [18][1360/14090]	Time 0.759 (0.768)	Data 0.001 (0.004)	Loss 2.5902 (2.7545)	Prec@1 37.500 (34.375)	Prec@5 67.188 (64.824)
Epoch: [18][1370/14090]	Time 0.756 (0.768)	Data 0.001 (0.004)	Loss 2.6080 (2.7539)	Prec@1 37.500 (34.372)	Prec@5 72.656 (64.831)
Epoch: [18][1380/14090]	Time 0.755 (0.768)	Data 0.001 (0.004)	Loss 2.6483 (2.7534)	Prec@1 42.188 (34.386)	Prec@5 70.312 (64.835)
Epoch: [18][1390/14090]	Time 0.726 (0.768)	Data 0.001 (0.004)	Loss 2.7487 (2.7536)	Prec@1 39.062 (34.381)	Prec@5 60.938 (64.830)
Epoch: [18][1400/14090]	Time 0.837 (0.768)	Data 0.001 (0.004)	Loss 2.7263 (2.7531)	Prec@1 39.844 (34.390)	Prec@5 68.750 (64.846)
Epoch: [18][1410/14090]	Time 0.740 (0.767)	Data 0.001 (0.004)	Loss 2.5677 (2.7528)	Prec@1 39.062 (34.405)	Prec@5 67.969 (64.855)
Epoch: [18][1420/14090]	Time 0.767 (0.767)	Data 0.001 (0.004)	Loss 2.3484 (2.7525)	Prec@1 37.500 (34.404)	Prec@5 77.344 (64.865)
Epoch: [18][1430/14090]	Time 0.736 (0.767)	Data 0.001 (0.003)	Loss 2.6411 (2.7523)	Prec@1 34.375 (34.404)	Prec@5 66.406 (64.860)
Epoch: [18][1440/14090]	Time 0.743 (0.767)	Data 0.001 (0.003)	Loss 2.7751 (2.7524)	Prec@1 32.812 (34.411)	Prec@5 67.188 (64.859)
Epoch: [18][1450/14090]	Time 0.742 (0.767)	Data 0.001 (0.003)	Loss 2.9326 (2.7520)	Prec@1 35.156 (34.417)	Prec@5 60.938 (64.868)
Epoch: [18][1460/14090]	Time 0.743 (0.767)	Data 0.001 (0.003)	Loss 2.6449 (2.7527)	Prec@1 29.688 (34.401)	Prec@5 67.969 (64.857)
Epoch: [18][1470/14090]	Time 0.845 (0.767)	Data 0.001 (0.003)	Loss 2.7266 (2.7533)	Prec@1 33.594 (34.391)	Prec@5 62.500 (64.848)
Epoch: [18][1480/14090]	Time 0.734 (0.767)	Data 0.001 (0.003)	Loss 2.7268 (2.7540)	Prec@1 36.719 (34.384)	Prec@5 61.719 (64.829)
Epoch: [18][1490/14090]	Time 0.748 (0.767)	Data 0.001 (0.003)	Loss 2.8252 (2.7542)	Prec@1 30.469 (34.387)	Prec@5 65.625 (64.815)
Epoch: [18][1500/14090]	Time 0.762 (0.767)	Data 0.001 (0.003)	Loss 2.6416 (2.7542)	Prec@1 38.281 (34.380)	Prec@5 65.625 (64.819)
Epoch: [18][1510/14090]	Time 0.753 (0.767)	Data 0.001 (0.003)	Loss 2.8348 (2.7544)	Prec@1 34.375 (34.377)	Prec@5 62.500 (64.811)
Epoch: [18][1520/14090]	Time 0.751 (0.767)	Data 0.001 (0.003)	Loss 3.0182 (2.7545)	Prec@1 28.125 (34.370)	Prec@5 65.625 (64.808)
Epoch: [18][1530/14090]	Time 0.732 (0.767)	Data 0.001 (0.003)	Loss 2.4461 (2.7549)	Prec@1 46.094 (34.378)	Prec@5 70.312 (64.796)
Epoch: [18][1540/14090]	Time 0.834 (0.767)	Data 0.001 (0.003)	Loss 2.6725 (2.7550)	Prec@1 39.844 (34.382)	Prec@5 66.406 (64.783)
Epoch: [18][1550/14090]	Time 0.749 (0.767)	Data 0.001 (0.003)	Loss 2.8639 (2.7551)	Prec@1 32.031 (34.377)	Prec@5 62.500 (64.784)
Epoch: [18][1560/14090]	Time 0.753 (0.767)	Data 0.001 (0.003)	Loss 2.8572 (2.7553)	Prec@1 32.812 (34.365)	Prec@5 65.625 (64.785)
Epoch: [18][1570/14090]	Time 0.745 (0.767)	Data 0.001 (0.003)	Loss 2.7102 (2.7549)	Prec@1 34.375 (34.375)	Prec@5 62.500 (64.788)
Epoch: [18][1580/14090]	Time 0.748 (0.767)	Data 0.001 (0.003)	Loss 2.7871 (2.7548)	Prec@1 30.469 (34.374)	Prec@5 63.281 (64.782)
Epoch: [18][1590/14090]	Time 0.758 (0.767)	Data 0.001 (0.003)	Loss 2.9978 (2.7548)	Prec@1 31.250 (34.375)	Prec@5 60.938 (64.775)
Epoch: [18][1600/14090]	Time 0.753 (0.767)	Data 0.001 (0.003)	Loss 2.5035 (2.7549)	Prec@1 40.625 (34.363)	Prec@5 69.531 (64.773)
Epoch: [18][1610/14090]	Time 0.844 (0.767)	Data 0.001 (0.003)	Loss 2.9430 (2.7550)	Prec@1 31.250 (34.361)	Prec@5 63.281 (64.776)
Epoch: [18][1620/14090]	Time 0.770 (0.767)	Data 0.001 (0.003)	Loss 2.7679 (2.7550)	Prec@1 32.031 (34.374)	Prec@5 60.156 (64.774)
Epoch: [18][1630/14090]	Time 0.768 (0.767)	Data 0.001 (0.003)	Loss 2.8657 (2.7551)	Prec@1 37.500 (34.378)	Prec@5 65.625 (64.776)
Epoch: [18][1640/14090]	Time 0.748 (0.767)	Data 0.001 (0.003)	Loss 2.9212 (2.7556)	Prec@1 33.594 (34.371)	Prec@5 60.938 (64.762)
Epoch: [18][1650/14090]	Time 0.753 (0.767)	Data 0.001 (0.003)	Loss 2.7640 (2.7555)	Prec@1 28.906 (34.366)	Prec@5 66.406 (64.764)
Epoch: [18][1660/14090]	Time 0.758 (0.767)	Data 0.001 (0.003)	Loss 3.0818 (2.7558)	Prec@1 28.125 (34.359)	Prec@5 57.812 (64.758)
Epoch: [18][1670/14090]	Time 0.748 (0.767)	Data 0.001 (0.003)	Loss 2.7434 (2.7555)	Prec@1 34.375 (34.355)	Prec@5 66.406 (64.763)
Epoch: [18][1680/14090]	Time 0.817 (0.767)	Data 0.001 (0.003)	Loss 2.7546 (2.7553)	Prec@1 35.938 (34.356)	Prec@5 65.625 (64.762)
Epoch: [18][1690/14090]	Time 0.730 (0.767)	Data 0.001 (0.003)	Loss 2.6789 (2.7554)	Prec@1 35.938 (34.361)	Prec@5 57.812 (64.759)
Epoch: [18][1700/14090]	Time 0.732 (0.767)	Data 0.001 (0.003)	Loss 2.9136 (2.7551)	Prec@1 30.469 (34.369)	Prec@5 57.812 (64.756)
Epoch: [18][1710/14090]	Time 0.784 (0.767)	Data 0.001 (0.003)	Loss 2.3632 (2.7543)	Prec@1 44.531 (34.386)	Prec@5 73.438 (64.776)
Epoch: [18][1720/14090]	Time 0.759 (0.767)	Data 0.001 (0.003)	Loss 2.7234 (2.7545)	Prec@1 35.156 (34.385)	Prec@5 67.969 (64.767)
Epoch: [18][1730/14090]	Time 0.732 (0.767)	Data 0.001 (0.003)	Loss 2.9134 (2.7546)	Prec@1 32.031 (34.386)	Prec@5 64.844 (64.762)
Epoch: [18][1740/14090]	Time 0.746 (0.767)	Data 0.001 (0.003)	Loss 2.8284 (2.7540)	Prec@1 30.469 (34.402)	Prec@5 57.812 (64.772)
Epoch: [18][1750/14090]	Time 0.881 (0.767)	Data 0.001 (0.003)	Loss 2.7048 (2.7541)	Prec@1 32.031 (34.399)	Prec@5 65.625 (64.771)
Epoch: [18][1760/14090]	Time 0.751 (0.767)	Data 0.001 (0.003)	Loss 2.8326 (2.7547)	Prec@1 30.469 (34.391)	Prec@5 65.625 (64.767)
Epoch: [18][1770/14090]	Time 0.782 (0.767)	Data 0.001 (0.003)	Loss 2.6734 (2.7547)	Prec@1 35.938 (34.397)	Prec@5 60.156 (64.756)
Epoch: [18][1780/14090]	Time 0.764 (0.767)	Data 0.001 (0.003)	Loss 2.6569 (2.7546)	Prec@1 37.500 (34.391)	Prec@5 66.406 (64.752)
Epoch: [18][1790/14090]	Time 0.749 (0.767)	Data 0.001 (0.003)	Loss 2.8242 (2.7552)	Prec@1 28.906 (34.378)	Prec@5 68.750 (64.745)
Epoch: [18][1800/14090]	Time 0.741 (0.767)	Data 0.001 (0.003)	Loss 2.6619 (2.7552)	Prec@1 40.625 (34.385)	Prec@5 67.188 (64.753)
Epoch: [18][1810/14090]	Time 0.740 (0.767)	Data 0.001 (0.003)	Loss 2.7468 (2.7551)	Prec@1 35.156 (34.389)	Prec@5 62.500 (64.762)
Epoch: [18][1820/14090]	Time 0.869 (0.767)	Data 0.001 (0.003)	Loss 2.6520 (2.7557)	Prec@1 39.844 (34.375)	Prec@5 64.844 (64.753)
Epoch: [18][1830/14090]	Time 0.766 (0.767)	Data 0.001 (0.003)	Loss 2.5981 (2.7556)	Prec@1 37.500 (34.379)	Prec@5 68.750 (64.757)
Epoch: [18][1840/14090]	Time 0.721 (0.767)	Data 0.001 (0.003)	Loss 2.8355 (2.7560)	Prec@1 35.938 (34.372)	Prec@5 64.844 (64.753)
Epoch: [18][1850/14090]	Time 0.765 (0.767)	Data 0.001 (0.003)	Loss 2.6098 (2.7555)	Prec@1 37.500 (34.383)	Prec@5 67.969 (64.765)
Epoch: [18][1860/14090]	Time 0.760 (0.767)	Data 0.001 (0.003)	Loss 2.3769 (2.7549)	Prec@1 39.844 (34.399)	Prec@5 73.438 (64.776)
Epoch: [18][1870/14090]	Time 0.762 (0.767)	Data 0.001 (0.003)	Loss 2.7132 (2.7549)	Prec@1 33.594 (34.400)	Prec@5 61.719 (64.782)
Epoch: [18][1880/14090]	Time 0.781 (0.767)	Data 0.001 (0.003)	Loss 2.5545 (2.7543)	Prec@1 37.500 (34.417)	Prec@5 67.188 (64.789)
Epoch: [18][1890/14090]	Time 0.845 (0.767)	Data 0.001 (0.003)	Loss 2.4621 (2.7540)	Prec@1 35.938 (34.424)	Prec@5 72.656 (64.797)
Epoch: [18][1900/14090]	Time 0.755 (0.767)	Data 0.001 (0.003)	Loss 2.8145 (2.7542)	Prec@1 32.031 (34.412)	Prec@5 63.281 (64.794)
Epoch: [18][1910/14090]	Time 0.735 (0.767)	Data 0.001 (0.003)	Loss 2.7325 (2.7540)	Prec@1 37.500 (34.417)	Prec@5 62.500 (64.790)
Epoch: [18][1920/14090]	Time 0.750 (0.767)	Data 0.001 (0.003)	Loss 2.6634 (2.7539)	Prec@1 36.719 (34.417)	Prec@5 67.188 (64.788)
Epoch: [18][1930/14090]	Time 0.734 (0.767)	Data 0.001 (0.003)	Loss 2.7557 (2.7536)	Prec@1 32.031 (34.417)	Prec@5 67.969 (64.797)
Epoch: [18][1940/14090]	Time 0.752 (0.767)	Data 0.001 (0.003)	Loss 2.5240 (2.7534)	Prec@1 44.531 (34.432)	Prec@5 73.438 (64.794)
Epoch: [18][1950/14090]	Time 0.768 (0.767)	Data 0.001 (0.003)	Loss 2.9572 (2.7535)	Prec@1 36.719 (34.428)	Prec@5 62.500 (64.796)
Epoch: [18][1960/14090]	Time 0.869 (0.767)	Data 0.001 (0.003)	Loss 2.9225 (2.7536)	Prec@1 30.469 (34.425)	Prec@5 61.719 (64.808)
Epoch: [18][1970/14090]	Time 0.763 (0.767)	Data 0.001 (0.003)	Loss 2.8386 (2.7534)	Prec@1 28.906 (34.430)	Prec@5 64.844 (64.814)
Epoch: [18][1980/14090]	Time 0.739 (0.767)	Data 0.001 (0.003)	Loss 2.8228 (2.7534)	Prec@1 33.594 (34.437)	Prec@5 60.938 (64.822)
Epoch: [18][1990/14090]	Time 0.756 (0.767)	Data 0.001 (0.003)	Loss 2.5017 (2.7532)	Prec@1 39.844 (34.443)	Prec@5 66.406 (64.823)
Epoch: [18][2000/14090]	Time 0.729 (0.767)	Data 0.001 (0.003)	Loss 2.6464 (2.7535)	Prec@1 37.500 (34.430)	Prec@5 64.062 (64.819)
Epoch: [18][2010/14090]	Time 0.743 (0.767)	Data 0.001 (0.003)	Loss 2.9045 (2.7534)	Prec@1 32.031 (34.429)	Prec@5 67.188 (64.825)
Epoch: [18][2020/14090]	Time 0.734 (0.767)	Data 0.001 (0.003)	Loss 2.6610 (2.7533)	Prec@1 30.469 (34.425)	Prec@5 69.531 (64.827)
Epoch: [18][2030/14090]	Time 0.812 (0.767)	Data 0.001 (0.003)	Loss 2.5109 (2.7532)	Prec@1 41.406 (34.425)	Prec@5 70.312 (64.836)
Epoch: [18][2040/14090]	Time 0.745 (0.767)	Data 0.001 (0.003)	Loss 2.7325 (2.7532)	Prec@1 34.375 (34.426)	Prec@5 68.750 (64.832)
Epoch: [18][2050/14090]	Time 0.763 (0.767)	Data 0.001 (0.003)	Loss 2.6710 (2.7529)	Prec@1 39.062 (34.434)	Prec@5 65.625 (64.831)
Epoch: [18][2060/14090]	Time 0.746 (0.767)	Data 0.001 (0.003)	Loss 2.6447 (2.7528)	Prec@1 35.938 (34.441)	Prec@5 69.531 (64.824)
Epoch: [18][2070/14090]	Time 0.767 (0.767)	Data 0.001 (0.003)	Loss 2.6966 (2.7528)	Prec@1 33.594 (34.440)	Prec@5 64.844 (64.821)
Epoch: [18][2080/14090]	Time 0.748 (0.767)	Data 0.001 (0.003)	Loss 2.6309 (2.7533)	Prec@1 36.719 (34.430)	Prec@5 66.406 (64.813)
Epoch: [18][2090/14090]	Time 0.750 (0.767)	Data 0.001 (0.003)	Loss 2.8281 (2.7536)	Prec@1 31.250 (34.428)	Prec@5 70.312 (64.807)
Epoch: [18][2100/14090]	Time 0.870 (0.767)	Data 0.001 (0.003)	Loss 3.0095 (2.7541)	Prec@1 30.469 (34.416)	Prec@5 59.375 (64.800)
Epoch: [18][2110/14090]	Time 0.736 (0.767)	Data 0.001 (0.003)	Loss 2.7012 (2.7541)	Prec@1 35.156 (34.418)	Prec@5 62.500 (64.796)
Epoch: [18][2120/14090]	Time 0.732 (0.767)	Data 0.001 (0.003)	Loss 2.8289 (2.7548)	Prec@1 32.812 (34.411)	Prec@5 61.719 (64.782)
Epoch: [18][2130/14090]	Time 0.742 (0.767)	Data 0.001 (0.003)	Loss 2.6207 (2.7550)	Prec@1 40.625 (34.411)	Prec@5 67.969 (64.777)
Epoch: [18][2140/14090]	Time 0.742 (0.767)	Data 0.001 (0.003)	Loss 2.8527 (2.7550)	Prec@1 35.156 (34.408)	Prec@5 64.062 (64.774)
Epoch: [18][2150/14090]	Time 0.752 (0.767)	Data 0.001 (0.003)	Loss 2.7645 (2.7549)	Prec@1 35.156 (34.404)	Prec@5 63.281 (64.776)
Epoch: [18][2160/14090]	Time 0.729 (0.767)	Data 0.001 (0.003)	Loss 3.1430 (2.7557)	Prec@1 31.250 (34.401)	Prec@5 57.031 (64.765)
Epoch: [18][2170/14090]	Time 0.903 (0.767)	Data 0.001 (0.003)	Loss 2.6650 (2.7557)	Prec@1 32.031 (34.394)	Prec@5 69.531 (64.766)
Epoch: [18][2180/14090]	Time 0.759 (0.767)	Data 0.001 (0.003)	Loss 2.7679 (2.7558)	Prec@1 32.812 (34.386)	Prec@5 64.062 (64.767)
Epoch: [18][2190/14090]	Time 0.758 (0.767)	Data 0.001 (0.003)	Loss 2.7690 (2.7556)	Prec@1 33.594 (34.390)	Prec@5 60.938 (64.770)
Epoch: [18][2200/14090]	Time 0.738 (0.767)	Data 0.001 (0.003)	Loss 2.8341 (2.7559)	Prec@1 33.594 (34.382)	Prec@5 65.625 (64.765)
Epoch: [18][2210/14090]	Time 0.774 (0.767)	Data 0.001 (0.003)	Loss 2.5187 (2.7561)	Prec@1 40.625 (34.380)	Prec@5 68.750 (64.761)
Epoch: [18][2220/14090]	Time 0.723 (0.767)	Data 0.001 (0.003)	Loss 2.5998 (2.7560)	Prec@1 39.844 (34.383)	Prec@5 67.188 (64.760)
Epoch: [18][2230/14090]	Time 0.749 (0.767)	Data 0.001 (0.003)	Loss 2.5119 (2.7554)	Prec@1 39.062 (34.389)	Prec@5 72.656 (64.771)
Epoch: [18][2240/14090]	Time 0.874 (0.767)	Data 0.001 (0.003)	Loss 2.4554 (2.7553)	Prec@1 41.406 (34.392)	Prec@5 65.625 (64.767)
Epoch: [18][2250/14090]	Time 0.748 (0.767)	Data 0.001 (0.003)	Loss 2.7790 (2.7555)	Prec@1 35.938 (34.387)	Prec@5 65.625 (64.767)
Epoch: [18][2260/14090]	Time 0.765 (0.767)	Data 0.001 (0.003)	Loss 2.8021 (2.7552)	Prec@1 35.938 (34.394)	Prec@5 63.281 (64.772)
Epoch: [18][2270/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 2.7329 (2.7550)	Prec@1 37.500 (34.395)	Prec@5 68.750 (64.779)
Epoch: [18][2280/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 3.0936 (2.7551)	Prec@1 30.469 (34.391)	Prec@5 58.594 (64.776)
Epoch: [18][2290/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.7504 (2.7550)	Prec@1 29.688 (34.394)	Prec@5 68.750 (64.779)
Epoch: [18][2300/14090]	Time 0.785 (0.767)	Data 0.001 (0.002)	Loss 2.8383 (2.7553)	Prec@1 31.250 (34.388)	Prec@5 61.719 (64.768)
Epoch: [18][2310/14090]	Time 0.876 (0.767)	Data 0.001 (0.002)	Loss 2.7781 (2.7551)	Prec@1 29.688 (34.388)	Prec@5 65.625 (64.767)
Epoch: [18][2320/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 3.0014 (2.7554)	Prec@1 32.031 (34.384)	Prec@5 63.281 (64.761)
Epoch: [18][2330/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 2.6663 (2.7554)	Prec@1 37.500 (34.393)	Prec@5 67.969 (64.762)
Epoch: [18][2340/14090]	Time 0.731 (0.767)	Data 0.001 (0.002)	Loss 2.8890 (2.7556)	Prec@1 31.250 (34.384)	Prec@5 67.969 (64.753)
Epoch: [18][2350/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 2.6442 (2.7558)	Prec@1 36.719 (34.379)	Prec@5 63.281 (64.755)
Epoch: [18][2360/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.9972 (2.7557)	Prec@1 32.031 (34.382)	Prec@5 57.812 (64.757)
Epoch: [18][2370/14090]	Time 0.773 (0.767)	Data 0.001 (0.002)	Loss 2.5648 (2.7559)	Prec@1 42.188 (34.378)	Prec@5 65.625 (64.753)
Epoch: [18][2380/14090]	Time 0.869 (0.767)	Data 0.001 (0.002)	Loss 2.7631 (2.7560)	Prec@1 31.250 (34.374)	Prec@5 60.156 (64.753)
Epoch: [18][2390/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 2.9326 (2.7559)	Prec@1 30.469 (34.375)	Prec@5 60.938 (64.754)
Epoch: [18][2400/14090]	Time 0.771 (0.767)	Data 0.001 (0.002)	Loss 2.5907 (2.7558)	Prec@1 41.406 (34.374)	Prec@5 71.094 (64.755)
Epoch: [18][2410/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 2.8404 (2.7562)	Prec@1 38.281 (34.374)	Prec@5 63.281 (64.749)
Epoch: [18][2420/14090]	Time 0.764 (0.767)	Data 0.001 (0.002)	Loss 2.8283 (2.7567)	Prec@1 31.250 (34.360)	Prec@5 62.500 (64.739)
Epoch: [18][2430/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 2.6510 (2.7564)	Prec@1 33.594 (34.370)	Prec@5 65.625 (64.740)
Epoch: [18][2440/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 2.8981 (2.7566)	Prec@1 27.344 (34.371)	Prec@5 60.938 (64.736)
Epoch: [18][2450/14090]	Time 0.874 (0.767)	Data 0.001 (0.002)	Loss 2.7270 (2.7566)	Prec@1 35.156 (34.372)	Prec@5 64.062 (64.737)
Epoch: [18][2460/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 2.9346 (2.7571)	Prec@1 28.125 (34.365)	Prec@5 57.812 (64.729)
Epoch: [18][2470/14090]	Time 0.723 (0.767)	Data 0.001 (0.002)	Loss 2.5969 (2.7567)	Prec@1 38.281 (34.371)	Prec@5 63.281 (64.732)
Epoch: [18][2480/14090]	Time 0.791 (0.767)	Data 0.001 (0.002)	Loss 2.8849 (2.7568)	Prec@1 31.250 (34.366)	Prec@5 64.062 (64.728)
Epoch: [18][2490/14090]	Time 0.778 (0.767)	Data 0.001 (0.002)	Loss 2.7894 (2.7568)	Prec@1 30.469 (34.367)	Prec@5 55.469 (64.721)
Epoch: [18][2500/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.5807 (2.7567)	Prec@1 34.375 (34.365)	Prec@5 67.969 (64.730)
Epoch: [18][2510/14090]	Time 0.777 (0.767)	Data 0.001 (0.002)	Loss 2.7462 (2.7568)	Prec@1 30.469 (34.359)	Prec@5 64.062 (64.728)
Epoch: [18][2520/14090]	Time 0.875 (0.767)	Data 0.001 (0.002)	Loss 2.7214 (2.7572)	Prec@1 28.906 (34.353)	Prec@5 66.406 (64.714)
Epoch: [18][2530/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.6963 (2.7573)	Prec@1 35.156 (34.350)	Prec@5 70.312 (64.709)
Epoch: [18][2540/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 2.5280 (2.7575)	Prec@1 35.156 (34.339)	Prec@5 66.406 (64.704)
Epoch: [18][2550/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 2.7453 (2.7575)	Prec@1 34.375 (34.343)	Prec@5 68.750 (64.709)
Epoch: [18][2560/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 2.9281 (2.7573)	Prec@1 26.562 (34.341)	Prec@5 57.812 (64.712)
Epoch: [18][2570/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.8544 (2.7570)	Prec@1 35.938 (34.346)	Prec@5 59.375 (64.714)
Epoch: [18][2580/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 2.8380 (2.7569)	Prec@1 32.812 (34.346)	Prec@5 67.188 (64.718)
Epoch: [18][2590/14090]	Time 0.861 (0.767)	Data 0.001 (0.002)	Loss 2.9131 (2.7570)	Prec@1 32.812 (34.332)	Prec@5 67.969 (64.716)
Epoch: [18][2600/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 2.6892 (2.7572)	Prec@1 38.281 (34.331)	Prec@5 64.844 (64.717)
Epoch: [18][2610/14090]	Time 0.726 (0.766)	Data 0.001 (0.002)	Loss 2.5812 (2.7570)	Prec@1 35.156 (34.340)	Prec@5 72.656 (64.719)
Epoch: [18][2620/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 2.7683 (2.7569)	Prec@1 30.469 (34.340)	Prec@5 62.500 (64.717)
Epoch: [18][2630/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 2.7158 (2.7570)	Prec@1 30.469 (34.339)	Prec@5 61.719 (64.713)
Epoch: [18][2640/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 2.7183 (2.7571)	Prec@1 35.938 (34.337)	Prec@5 67.969 (64.709)
Epoch: [18][2650/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.7897 (2.7571)	Prec@1 35.938 (34.336)	Prec@5 70.312 (64.712)
Epoch: [18][2660/14090]	Time 0.886 (0.766)	Data 0.001 (0.002)	Loss 2.7719 (2.7568)	Prec@1 38.281 (34.343)	Prec@5 61.719 (64.714)
Epoch: [18][2670/14090]	Time 0.761 (0.766)	Data 0.001 (0.002)	Loss 2.6532 (2.7571)	Prec@1 32.812 (34.339)	Prec@5 70.312 (64.708)
Epoch: [18][2680/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.9684 (2.7574)	Prec@1 32.031 (34.339)	Prec@5 61.719 (64.704)
Epoch: [18][2690/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 2.8659 (2.7571)	Prec@1 37.500 (34.339)	Prec@5 60.156 (64.705)
Epoch: [18][2700/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.5945 (2.7570)	Prec@1 32.031 (34.333)	Prec@5 67.969 (64.706)
Epoch: [18][2710/14090]	Time 0.765 (0.766)	Data 0.001 (0.002)	Loss 2.7393 (2.7569)	Prec@1 39.062 (34.332)	Prec@5 65.625 (64.707)
Epoch: [18][2720/14090]	Time 0.763 (0.766)	Data 0.001 (0.002)	Loss 2.6634 (2.7570)	Prec@1 36.719 (34.328)	Prec@5 66.406 (64.709)
Epoch: [18][2730/14090]	Time 0.873 (0.766)	Data 0.001 (0.002)	Loss 2.7308 (2.7569)	Prec@1 33.594 (34.331)	Prec@5 67.188 (64.710)
Epoch: [18][2740/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 2.4658 (2.7568)	Prec@1 41.406 (34.327)	Prec@5 76.562 (64.714)
Epoch: [18][2750/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 2.8954 (2.7572)	Prec@1 28.125 (34.313)	Prec@5 61.719 (64.711)
Epoch: [18][2760/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 2.7498 (2.7567)	Prec@1 38.281 (34.324)	Prec@5 65.625 (64.716)
Epoch: [18][2770/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 2.6509 (2.7568)	Prec@1 30.469 (34.321)	Prec@5 67.188 (64.718)
Epoch: [18][2780/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 2.3944 (2.7567)	Prec@1 39.062 (34.325)	Prec@5 71.875 (64.716)
Epoch: [18][2790/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.9182 (2.7569)	Prec@1 34.375 (34.319)	Prec@5 60.938 (64.712)
Epoch: [18][2800/14090]	Time 0.837 (0.766)	Data 0.001 (0.002)	Loss 2.6505 (2.7570)	Prec@1 39.062 (34.322)	Prec@5 65.625 (64.715)
Epoch: [18][2810/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.8768 (2.7571)	Prec@1 22.656 (34.326)	Prec@5 64.062 (64.714)
Epoch: [18][2820/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 2.4697 (2.7569)	Prec@1 37.500 (34.331)	Prec@5 71.875 (64.712)
Epoch: [18][2830/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.7022 (2.7570)	Prec@1 32.812 (34.331)	Prec@5 62.500 (64.708)
Epoch: [18][2840/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.8113 (2.7571)	Prec@1 33.594 (34.330)	Prec@5 64.844 (64.707)
Epoch: [18][2850/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 3.0380 (2.7573)	Prec@1 27.344 (34.325)	Prec@5 56.250 (64.705)
Epoch: [18][2860/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.6212 (2.7571)	Prec@1 40.625 (34.330)	Prec@5 67.188 (64.707)
Epoch: [18][2870/14090]	Time 0.851 (0.766)	Data 0.001 (0.002)	Loss 2.8529 (2.7572)	Prec@1 38.281 (34.331)	Prec@5 62.500 (64.705)
Epoch: [18][2880/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.6451 (2.7574)	Prec@1 36.719 (34.331)	Prec@5 62.500 (64.708)
Epoch: [18][2890/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 2.6129 (2.7576)	Prec@1 39.062 (34.330)	Prec@5 67.188 (64.705)
Epoch: [18][2900/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 2.7123 (2.7576)	Prec@1 33.594 (34.328)	Prec@5 67.969 (64.710)
Epoch: [18][2910/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 2.6623 (2.7576)	Prec@1 32.031 (34.333)	Prec@5 64.844 (64.708)
Epoch: [18][2920/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 2.8314 (2.7577)	Prec@1 29.688 (34.330)	Prec@5 64.062 (64.705)
Epoch: [18][2930/14090]	Time 0.719 (0.766)	Data 0.001 (0.002)	Loss 2.7127 (2.7577)	Prec@1 34.375 (34.336)	Prec@5 64.844 (64.700)
Epoch: [18][2940/14090]	Time 0.892 (0.766)	Data 0.001 (0.002)	Loss 2.9019 (2.7576)	Prec@1 30.469 (34.336)	Prec@5 60.156 (64.703)
Epoch: [18][2950/14090]	Time 0.767 (0.766)	Data 0.001 (0.002)	Loss 2.8124 (2.7575)	Prec@1 40.625 (34.343)	Prec@5 63.281 (64.702)
Epoch: [18][2960/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.7511 (2.7575)	Prec@1 32.812 (34.344)	Prec@5 63.281 (64.704)
Epoch: [18][2970/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 2.6425 (2.7574)	Prec@1 35.156 (34.347)	Prec@5 64.062 (64.705)
Epoch: [18][2980/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 3.0061 (2.7576)	Prec@1 28.125 (34.343)	Prec@5 63.281 (64.702)
Epoch: [18][2990/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.5413 (2.7577)	Prec@1 42.188 (34.341)	Prec@5 64.062 (64.699)
Epoch: [18][3000/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 2.7780 (2.7578)	Prec@1 32.031 (34.341)	Prec@5 63.281 (64.696)
Epoch: [18][3010/14090]	Time 0.873 (0.766)	Data 0.001 (0.002)	Loss 2.8901 (2.7579)	Prec@1 30.469 (34.336)	Prec@5 63.281 (64.691)
Epoch: [18][3020/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 2.5642 (2.7581)	Prec@1 39.062 (34.332)	Prec@5 71.094 (64.687)
Epoch: [18][3030/14090]	Time 0.768 (0.766)	Data 0.001 (0.002)	Loss 2.8365 (2.7584)	Prec@1 28.906 (34.320)	Prec@5 61.719 (64.676)
Epoch: [18][3040/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.4735 (2.7580)	Prec@1 36.719 (34.327)	Prec@5 67.188 (64.682)
Epoch: [18][3050/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 2.7551 (2.7579)	Prec@1 32.812 (34.324)	Prec@5 64.844 (64.682)
Epoch: [18][3060/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.7495 (2.7579)	Prec@1 35.938 (34.324)	Prec@5 61.719 (64.680)
Epoch: [18][3070/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.7463 (2.7580)	Prec@1 34.375 (34.325)	Prec@5 65.625 (64.675)
Epoch: [18][3080/14090]	Time 0.875 (0.766)	Data 0.001 (0.002)	Loss 2.4167 (2.7578)	Prec@1 44.531 (34.328)	Prec@5 72.656 (64.680)
Epoch: [18][3090/14090]	Time 0.767 (0.766)	Data 0.001 (0.002)	Loss 2.6480 (2.7581)	Prec@1 36.719 (34.320)	Prec@5 70.312 (64.673)
Epoch: [18][3100/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.7686 (2.7581)	Prec@1 33.594 (34.322)	Prec@5 60.156 (64.672)
Epoch: [18][3110/14090]	Time 0.782 (0.766)	Data 0.001 (0.002)	Loss 2.8369 (2.7578)	Prec@1 37.500 (34.325)	Prec@5 58.594 (64.683)
Epoch: [18][3120/14090]	Time 0.764 (0.766)	Data 0.001 (0.002)	Loss 2.7923 (2.7578)	Prec@1 32.812 (34.325)	Prec@5 66.406 (64.684)
Epoch: [18][3130/14090]	Time 0.766 (0.766)	Data 0.001 (0.002)	Loss 2.5875 (2.7578)	Prec@1 39.844 (34.324)	Prec@5 70.312 (64.685)
Epoch: [18][3140/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 2.8000 (2.7580)	Prec@1 35.156 (34.324)	Prec@5 64.062 (64.681)
Epoch: [18][3150/14090]	Time 0.860 (0.766)	Data 0.001 (0.002)	Loss 2.8766 (2.7578)	Prec@1 35.156 (34.329)	Prec@5 59.375 (64.678)
Epoch: [18][3160/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 2.9210 (2.7578)	Prec@1 29.688 (34.329)	Prec@5 64.844 (64.675)
Epoch: [18][3170/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.8977 (2.7576)	Prec@1 35.938 (34.330)	Prec@5 62.500 (64.679)
Epoch: [18][3180/14090]	Time 0.728 (0.766)	Data 0.001 (0.002)	Loss 2.7419 (2.7576)	Prec@1 34.375 (34.329)	Prec@5 67.188 (64.679)
Epoch: [18][3190/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.4398 (2.7574)	Prec@1 38.281 (34.327)	Prec@5 69.531 (64.686)
Epoch: [18][3200/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 2.5181 (2.7571)	Prec@1 43.750 (34.336)	Prec@5 67.969 (64.689)
Epoch: [18][3210/14090]	Time 0.763 (0.766)	Data 0.001 (0.002)	Loss 2.5348 (2.7574)	Prec@1 32.812 (34.328)	Prec@5 70.312 (64.687)
Epoch: [18][3220/14090]	Time 0.840 (0.766)	Data 0.001 (0.002)	Loss 2.8664 (2.7578)	Prec@1 33.594 (34.321)	Prec@5 60.938 (64.675)
Epoch: [18][3230/14090]	Time 0.727 (0.766)	Data 0.001 (0.002)	Loss 3.0627 (2.7579)	Prec@1 30.469 (34.313)	Prec@5 58.594 (64.672)
Epoch: [18][3240/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 2.8294 (2.7581)	Prec@1 33.594 (34.310)	Prec@5 58.594 (64.665)
Epoch: [18][3250/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.7136 (2.7580)	Prec@1 34.375 (34.315)	Prec@5 66.406 (64.668)
Epoch: [18][3260/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 2.6284 (2.7578)	Prec@1 38.281 (34.316)	Prec@5 65.625 (64.672)
Epoch: [18][3270/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.6891 (2.7578)	Prec@1 35.156 (34.317)	Prec@5 66.406 (64.673)
Epoch: [18][3280/14090]	Time 0.778 (0.766)	Data 0.001 (0.002)	Loss 2.6845 (2.7579)	Prec@1 35.938 (34.316)	Prec@5 72.656 (64.675)
Epoch: [18][3290/14090]	Time 0.849 (0.766)	Data 0.001 (0.002)	Loss 2.9306 (2.7580)	Prec@1 28.906 (34.313)	Prec@5 60.156 (64.674)
Epoch: [18][3300/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.8212 (2.7581)	Prec@1 36.719 (34.313)	Prec@5 63.281 (64.669)
Epoch: [18][3310/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.5090 (2.7581)	Prec@1 35.938 (34.312)	Prec@5 71.094 (64.664)
Epoch: [18][3320/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.9185 (2.7581)	Prec@1 25.781 (34.314)	Prec@5 58.594 (64.661)
Epoch: [18][3330/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.8098 (2.7583)	Prec@1 38.281 (34.307)	Prec@5 63.281 (64.659)
Epoch: [18][3340/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.4906 (2.7583)	Prec@1 39.844 (34.304)	Prec@5 68.750 (64.658)
Epoch: [18][3350/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.9862 (2.7584)	Prec@1 25.000 (34.298)	Prec@5 59.375 (64.656)
Epoch: [18][3360/14090]	Time 0.864 (0.766)	Data 0.001 (0.002)	Loss 2.6538 (2.7583)	Prec@1 37.500 (34.298)	Prec@5 68.750 (64.663)
Epoch: [18][3370/14090]	Time 0.721 (0.766)	Data 0.001 (0.002)	Loss 2.8862 (2.7584)	Prec@1 32.812 (34.292)	Prec@5 63.281 (64.667)
Epoch: [18][3380/14090]	Time 0.766 (0.766)	Data 0.001 (0.002)	Loss 2.5146 (2.7585)	Prec@1 35.156 (34.291)	Prec@5 70.312 (64.666)
Epoch: [18][3390/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 2.6095 (2.7585)	Prec@1 35.938 (34.292)	Prec@5 64.062 (64.662)
Epoch: [18][3400/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 3.0675 (2.7586)	Prec@1 25.000 (34.289)	Prec@5 60.938 (64.664)
Epoch: [18][3410/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.8046 (2.7586)	Prec@1 28.906 (34.289)	Prec@5 67.969 (64.665)
Epoch: [18][3420/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 2.5857 (2.7587)	Prec@1 38.281 (34.290)	Prec@5 67.969 (64.660)
Epoch: [18][3430/14090]	Time 0.894 (0.766)	Data 0.001 (0.002)	Loss 2.7509 (2.7586)	Prec@1 38.281 (34.292)	Prec@5 67.188 (64.665)
Epoch: [18][3440/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.8201 (2.7584)	Prec@1 33.594 (34.293)	Prec@5 62.500 (64.674)
Epoch: [18][3450/14090]	Time 0.763 (0.766)	Data 0.001 (0.002)	Loss 2.8146 (2.7587)	Prec@1 32.812 (34.291)	Prec@5 63.281 (64.664)
Epoch: [18][3460/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.9094 (2.7588)	Prec@1 31.250 (34.289)	Prec@5 61.719 (64.662)
Epoch: [18][3470/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 3.0742 (2.7588)	Prec@1 32.812 (34.290)	Prec@5 61.719 (64.665)
Epoch: [18][3480/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.8508 (2.7588)	Prec@1 30.469 (34.289)	Prec@5 59.375 (64.663)
Epoch: [18][3490/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 3.0408 (2.7584)	Prec@1 28.906 (34.296)	Prec@5 60.156 (64.670)
Epoch: [18][3500/14090]	Time 0.844 (0.766)	Data 0.001 (0.002)	Loss 2.7821 (2.7584)	Prec@1 37.500 (34.298)	Prec@5 60.156 (64.668)
Epoch: [18][3510/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 2.6871 (2.7586)	Prec@1 33.594 (34.290)	Prec@5 68.750 (64.662)
Epoch: [18][3520/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 2.5814 (2.7589)	Prec@1 34.375 (34.284)	Prec@5 68.750 (64.653)
Epoch: [18][3530/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.8960 (2.7588)	Prec@1 29.688 (34.283)	Prec@5 63.281 (64.655)
Epoch: [18][3540/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.8138 (2.7587)	Prec@1 37.500 (34.288)	Prec@5 62.500 (64.658)
Epoch: [18][3550/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 2.6743 (2.7584)	Prec@1 32.031 (34.295)	Prec@5 68.750 (64.662)
Epoch: [18][3560/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.7575 (2.7585)	Prec@1 32.812 (34.293)	Prec@5 60.156 (64.663)
Epoch: [18][3570/14090]	Time 0.884 (0.766)	Data 0.002 (0.002)	Loss 2.9771 (2.7585)	Prec@1 27.344 (34.289)	Prec@5 60.938 (64.663)
Epoch: [18][3580/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.6990 (2.7587)	Prec@1 32.031 (34.287)	Prec@5 64.844 (64.660)
Epoch: [18][3590/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.9775 (2.7588)	Prec@1 27.344 (34.281)	Prec@5 60.938 (64.662)
Epoch: [18][3600/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.4205 (2.7586)	Prec@1 39.844 (34.283)	Prec@5 74.219 (64.663)
Epoch: [18][3610/14090]	Time 0.775 (0.766)	Data 0.001 (0.002)	Loss 2.6399 (2.7583)	Prec@1 40.625 (34.291)	Prec@5 63.281 (64.668)
Epoch: [18][3620/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.8811 (2.7582)	Prec@1 34.375 (34.293)	Prec@5 61.719 (64.670)
Epoch: [18][3630/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.6095 (2.7583)	Prec@1 40.625 (34.292)	Prec@5 64.844 (64.670)
Epoch: [18][3640/14090]	Time 0.849 (0.766)	Data 0.001 (0.002)	Loss 2.5190 (2.7581)	Prec@1 40.625 (34.294)	Prec@5 69.531 (64.674)
Epoch: [18][3650/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.9794 (2.7584)	Prec@1 33.594 (34.289)	Prec@5 61.719 (64.667)
Epoch: [18][3660/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 2.7667 (2.7584)	Prec@1 35.156 (34.287)	Prec@5 60.156 (64.666)
Epoch: [18][3670/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 2.7462 (2.7581)	Prec@1 40.625 (34.292)	Prec@5 61.719 (64.669)
Epoch: [18][3680/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 2.9066 (2.7582)	Prec@1 32.031 (34.291)	Prec@5 62.500 (64.667)
Epoch: [18][3690/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 2.4610 (2.7582)	Prec@1 39.062 (34.289)	Prec@5 70.312 (64.662)
Epoch: [18][3700/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 2.9046 (2.7579)	Prec@1 31.250 (34.296)	Prec@5 61.719 (64.666)
Epoch: [18][3710/14090]	Time 0.852 (0.766)	Data 0.001 (0.002)	Loss 2.7887 (2.7579)	Prec@1 32.812 (34.299)	Prec@5 62.500 (64.664)
Epoch: [18][3720/14090]	Time 0.779 (0.766)	Data 0.001 (0.002)	Loss 2.9204 (2.7580)	Prec@1 35.156 (34.300)	Prec@5 63.281 (64.664)
Epoch: [18][3730/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 2.7981 (2.7579)	Prec@1 38.281 (34.298)	Prec@5 64.062 (64.664)
Epoch: [18][3740/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.5664 (2.7581)	Prec@1 36.719 (34.298)	Prec@5 65.625 (64.659)
Epoch: [18][3750/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 2.5832 (2.7581)	Prec@1 37.500 (34.299)	Prec@5 67.969 (64.659)
Epoch: [18][3760/14090]	Time 0.773 (0.766)	Data 0.001 (0.002)	Loss 2.7101 (2.7580)	Prec@1 32.812 (34.297)	Prec@5 71.094 (64.664)
Epoch: [18][3770/14090]	Time 0.725 (0.766)	Data 0.001 (0.002)	Loss 2.8514 (2.7582)	Prec@1 32.031 (34.291)	Prec@5 65.625 (64.664)
Epoch: [18][3780/14090]	Time 0.874 (0.766)	Data 0.001 (0.002)	Loss 2.6602 (2.7584)	Prec@1 36.719 (34.287)	Prec@5 65.625 (64.662)
Epoch: [18][3790/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 2.8081 (2.7585)	Prec@1 36.719 (34.286)	Prec@5 64.844 (64.660)
Epoch: [18][3800/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.7479 (2.7587)	Prec@1 38.281 (34.283)	Prec@5 64.844 (64.657)
Epoch: [18][3810/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.7939 (2.7585)	Prec@1 32.031 (34.282)	Prec@5 61.719 (64.661)
Epoch: [18][3820/14090]	Time 0.782 (0.766)	Data 0.001 (0.002)	Loss 2.4065 (2.7584)	Prec@1 40.625 (34.288)	Prec@5 71.094 (64.661)
Epoch: [18][3830/14090]	Time 0.761 (0.766)	Data 0.001 (0.002)	Loss 2.9977 (2.7583)	Prec@1 24.219 (34.291)	Prec@5 60.938 (64.666)
Epoch: [18][3840/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.8015 (2.7582)	Prec@1 34.375 (34.290)	Prec@5 64.844 (64.670)
Epoch: [18][3850/14090]	Time 0.877 (0.766)	Data 0.001 (0.002)	Loss 3.1168 (2.7583)	Prec@1 24.219 (34.286)	Prec@5 59.375 (64.666)
Epoch: [18][3860/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 2.6010 (2.7584)	Prec@1 38.281 (34.281)	Prec@5 65.625 (64.664)
Epoch: [18][3870/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.7579 (2.7582)	Prec@1 38.281 (34.289)	Prec@5 61.719 (64.670)
Epoch: [18][3880/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 2.5136 (2.7582)	Prec@1 38.281 (34.287)	Prec@5 71.875 (64.668)
Epoch: [18][3890/14090]	Time 0.766 (0.766)	Data 0.001 (0.002)	Loss 2.8720 (2.7582)	Prec@1 33.594 (34.285)	Prec@5 65.625 (64.667)
Epoch: [18][3900/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.5509 (2.7582)	Prec@1 35.938 (34.290)	Prec@5 71.875 (64.669)
Epoch: [18][3910/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.6181 (2.7581)	Prec@1 38.281 (34.294)	Prec@5 64.844 (64.668)
Epoch: [18][3920/14090]	Time 0.868 (0.766)	Data 0.001 (0.002)	Loss 2.6189 (2.7579)	Prec@1 39.844 (34.300)	Prec@5 63.281 (64.672)
Epoch: [18][3930/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.7279 (2.7578)	Prec@1 33.594 (34.301)	Prec@5 64.062 (64.671)
Epoch: [18][3940/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 2.9332 (2.7579)	Prec@1 35.938 (34.298)	Prec@5 61.719 (64.669)
Epoch: [18][3950/14090]	Time 0.766 (0.766)	Data 0.001 (0.002)	Loss 2.6231 (2.7577)	Prec@1 34.375 (34.300)	Prec@5 67.969 (64.671)
Epoch: [18][3960/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.5493 (2.7577)	Prec@1 35.156 (34.295)	Prec@5 65.625 (64.672)
Epoch: [18][3970/14090]	Time 0.764 (0.766)	Data 0.001 (0.002)	Loss 2.4961 (2.7578)	Prec@1 32.812 (34.288)	Prec@5 72.656 (64.669)
Epoch: [18][3980/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.7544 (2.7580)	Prec@1 33.594 (34.286)	Prec@5 63.281 (64.662)
Epoch: [18][3990/14090]	Time 0.841 (0.766)	Data 0.001 (0.002)	Loss 2.7551 (2.7579)	Prec@1 37.500 (34.287)	Prec@5 64.844 (64.663)
Epoch: [18][4000/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 2.9447 (2.7577)	Prec@1 25.000 (34.289)	Prec@5 55.469 (64.663)
Epoch: [18][4010/14090]	Time 0.765 (0.766)	Data 0.001 (0.002)	Loss 2.6289 (2.7577)	Prec@1 35.938 (34.291)	Prec@5 67.188 (64.661)
Epoch: [18][4020/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 2.7501 (2.7578)	Prec@1 33.594 (34.283)	Prec@5 64.062 (64.661)
Epoch: [18][4030/14090]	Time 0.766 (0.766)	Data 0.001 (0.002)	Loss 2.8848 (2.7578)	Prec@1 34.375 (34.282)	Prec@5 61.719 (64.659)
Epoch: [18][4040/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 2.8147 (2.7577)	Prec@1 25.000 (34.283)	Prec@5 63.281 (64.657)
Epoch: [18][4050/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 2.7675 (2.7577)	Prec@1 28.125 (34.285)	Prec@5 63.281 (64.656)
Epoch: [18][4060/14090]	Time 0.867 (0.766)	Data 0.001 (0.002)	Loss 2.8165 (2.7577)	Prec@1 31.250 (34.288)	Prec@5 62.500 (64.656)
Epoch: [18][4070/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.5235 (2.7576)	Prec@1 35.938 (34.286)	Prec@5 68.750 (64.656)
Epoch: [18][4080/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 3.1550 (2.7578)	Prec@1 34.375 (34.285)	Prec@5 53.125 (64.648)
Epoch: [18][4090/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 3.0363 (2.7579)	Prec@1 26.562 (34.283)	Prec@5 60.156 (64.650)
Epoch: [18][4100/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 2.6966 (2.7582)	Prec@1 38.281 (34.276)	Prec@5 65.625 (64.646)
Epoch: [18][4110/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.8332 (2.7582)	Prec@1 34.375 (34.277)	Prec@5 64.062 (64.645)
Epoch: [18][4120/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 2.6825 (2.7583)	Prec@1 37.500 (34.275)	Prec@5 63.281 (64.640)
Epoch: [18][4130/14090]	Time 0.858 (0.766)	Data 0.001 (0.002)	Loss 2.9355 (2.7584)	Prec@1 36.719 (34.275)	Prec@5 58.594 (64.637)
Epoch: [18][4140/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 2.4262 (2.7582)	Prec@1 42.188 (34.273)	Prec@5 75.781 (64.643)
Epoch: [18][4150/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.5083 (2.7580)	Prec@1 36.719 (34.277)	Prec@5 67.969 (64.646)
Epoch: [18][4160/14090]	Time 0.726 (0.766)	Data 0.001 (0.002)	Loss 2.7779 (2.7581)	Prec@1 32.812 (34.277)	Prec@5 64.062 (64.644)
Epoch: [18][4170/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.9175 (2.7579)	Prec@1 33.594 (34.279)	Prec@5 61.719 (64.646)
Epoch: [18][4180/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.8690 (2.7578)	Prec@1 33.594 (34.279)	Prec@5 59.375 (64.645)
Epoch: [18][4190/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.8923 (2.7580)	Prec@1 35.938 (34.277)	Prec@5 67.188 (64.641)
Epoch: [18][4200/14090]	Time 0.867 (0.766)	Data 0.001 (0.002)	Loss 2.4587 (2.7580)	Prec@1 39.844 (34.281)	Prec@5 70.312 (64.641)
Epoch: [18][4210/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 2.8427 (2.7578)	Prec@1 28.125 (34.283)	Prec@5 64.844 (64.644)
Epoch: [18][4220/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 2.4129 (2.7578)	Prec@1 41.406 (34.288)	Prec@5 66.406 (64.641)
Epoch: [18][4230/14090]	Time 0.728 (0.766)	Data 0.001 (0.002)	Loss 2.9240 (2.7578)	Prec@1 35.156 (34.290)	Prec@5 59.375 (64.640)
Epoch: [18][4240/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.7160 (2.7578)	Prec@1 33.594 (34.288)	Prec@5 65.625 (64.640)
Epoch: [18][4250/14090]	Time 0.769 (0.766)	Data 0.001 (0.002)	Loss 2.9847 (2.7579)	Prec@1 31.250 (34.287)	Prec@5 60.156 (64.640)
Epoch: [18][4260/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.9221 (2.7578)	Prec@1 34.375 (34.289)	Prec@5 63.281 (64.640)
Epoch: [18][4270/14090]	Time 0.894 (0.766)	Data 0.001 (0.002)	Loss 2.5217 (2.7577)	Prec@1 35.938 (34.289)	Prec@5 69.531 (64.642)
Epoch: [18][4280/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 2.5840 (2.7577)	Prec@1 38.281 (34.292)	Prec@5 68.750 (64.646)
Epoch: [18][4290/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 2.7781 (2.7575)	Prec@1 39.844 (34.295)	Prec@5 62.500 (64.648)
Epoch: [18][4300/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 2.5646 (2.7576)	Prec@1 34.375 (34.290)	Prec@5 68.750 (64.646)
Epoch: [18][4310/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 2.8352 (2.7578)	Prec@1 28.906 (34.288)	Prec@5 62.500 (64.643)
Epoch: [18][4320/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.8909 (2.7579)	Prec@1 32.031 (34.284)	Prec@5 62.500 (64.637)
Epoch: [18][4330/14090]	Time 0.766 (0.766)	Data 0.001 (0.002)	Loss 2.7346 (2.7578)	Prec@1 37.500 (34.286)	Prec@5 65.625 (64.639)
Epoch: [18][4340/14090]	Time 0.854 (0.766)	Data 0.001 (0.002)	Loss 2.4979 (2.7577)	Prec@1 40.625 (34.284)	Prec@5 69.531 (64.642)
Epoch: [18][4350/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 2.7456 (2.7576)	Prec@1 32.812 (34.284)	Prec@5 60.156 (64.641)
Epoch: [18][4360/14090]	Time 0.763 (0.766)	Data 0.001 (0.002)	Loss 2.9000 (2.7577)	Prec@1 37.500 (34.286)	Prec@5 59.375 (64.638)
Epoch: [18][4370/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 2.6625 (2.7577)	Prec@1 34.375 (34.282)	Prec@5 65.625 (64.638)
Epoch: [18][4380/14090]	Time 0.768 (0.766)	Data 0.001 (0.002)	Loss 2.9073 (2.7577)	Prec@1 31.250 (34.284)	Prec@5 58.594 (64.635)
Epoch: [18][4390/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 2.9701 (2.7577)	Prec@1 32.031 (34.286)	Prec@5 61.719 (64.637)
Epoch: [18][4400/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.7018 (2.7579)	Prec@1 31.250 (34.281)	Prec@5 67.188 (64.633)
Epoch: [18][4410/14090]	Time 0.850 (0.766)	Data 0.001 (0.002)	Loss 2.6264 (2.7580)	Prec@1 37.500 (34.279)	Prec@5 69.531 (64.632)
Epoch: [18][4420/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 2.8186 (2.7584)	Prec@1 35.938 (34.277)	Prec@5 67.188 (64.629)
Epoch: [18][4430/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 2.6638 (2.7584)	Prec@1 35.938 (34.278)	Prec@5 66.406 (64.627)
Epoch: [18][4440/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.7368 (2.7585)	Prec@1 37.500 (34.278)	Prec@5 66.406 (64.625)
Epoch: [18][4450/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.6804 (2.7583)	Prec@1 35.938 (34.283)	Prec@5 64.844 (64.629)
Epoch: [18][4460/14090]	Time 0.761 (0.766)	Data 0.001 (0.002)	Loss 2.7071 (2.7582)	Prec@1 32.812 (34.283)	Prec@5 63.281 (64.630)
Epoch: [18][4470/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.7330 (2.7582)	Prec@1 34.375 (34.284)	Prec@5 61.719 (64.632)
Epoch: [18][4480/14090]	Time 0.844 (0.766)	Data 0.001 (0.002)	Loss 2.6906 (2.7581)	Prec@1 35.938 (34.289)	Prec@5 64.844 (64.636)
Epoch: [18][4490/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.9241 (2.7580)	Prec@1 34.375 (34.293)	Prec@5 65.625 (64.638)
Epoch: [18][4500/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 2.8170 (2.7580)	Prec@1 28.125 (34.292)	Prec@5 63.281 (64.636)
Epoch: [18][4510/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 2.5486 (2.7579)	Prec@1 36.719 (34.292)	Prec@5 67.188 (64.640)
Epoch: [18][4520/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.6917 (2.7576)	Prec@1 34.375 (34.296)	Prec@5 62.500 (64.645)
Epoch: [18][4530/14090]	Time 0.722 (0.766)	Data 0.001 (0.002)	Loss 2.8228 (2.7577)	Prec@1 39.062 (34.298)	Prec@5 63.281 (64.643)
Epoch: [18][4540/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 2.6315 (2.7577)	Prec@1 32.031 (34.299)	Prec@5 68.750 (64.644)
Epoch: [18][4550/14090]	Time 0.847 (0.766)	Data 0.001 (0.002)	Loss 2.5627 (2.7576)	Prec@1 39.062 (34.299)	Prec@5 63.281 (64.645)
Epoch: [18][4560/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 2.5252 (2.7579)	Prec@1 41.406 (34.297)	Prec@5 68.750 (64.640)
Epoch: [18][4570/14090]	Time 0.780 (0.766)	Data 0.001 (0.002)	Loss 2.4661 (2.7579)	Prec@1 39.062 (34.298)	Prec@5 67.188 (64.640)
Epoch: [18][4580/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 2.7775 (2.7578)	Prec@1 35.156 (34.301)	Prec@5 62.500 (64.640)
Epoch: [18][4590/14090]	Time 0.750 (0.765)	Data 0.001 (0.002)	Loss 2.7530 (2.7577)	Prec@1 35.156 (34.303)	Prec@5 57.812 (64.639)
Epoch: [18][4600/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 2.8630 (2.7577)	Prec@1 39.844 (34.306)	Prec@5 63.281 (64.640)
Epoch: [18][4610/14090]	Time 0.751 (0.765)	Data 0.001 (0.002)	Loss 3.0112 (2.7576)	Prec@1 32.812 (34.309)	Prec@5 58.594 (64.641)
Epoch: [18][4620/14090]	Time 0.862 (0.766)	Data 0.001 (0.002)	Loss 2.6462 (2.7578)	Prec@1 36.719 (34.307)	Prec@5 66.406 (64.635)
Epoch: [18][4630/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.7956 (2.7581)	Prec@1 33.594 (34.302)	Prec@5 65.625 (64.628)
Epoch: [18][4640/14090]	Time 0.761 (0.765)	Data 0.001 (0.002)	Loss 2.9854 (2.7583)	Prec@1 30.469 (34.304)	Prec@5 58.594 (64.626)
Epoch: [18][4650/14090]	Time 0.748 (0.765)	Data 0.001 (0.002)	Loss 2.7149 (2.7586)	Prec@1 32.031 (34.298)	Prec@5 66.406 (64.620)
Epoch: [18][4660/14090]	Time 0.780 (0.765)	Data 0.001 (0.002)	Loss 2.7846 (2.7586)	Prec@1 33.594 (34.295)	Prec@5 61.719 (64.619)
Epoch: [18][4670/14090]	Time 0.745 (0.765)	Data 0.001 (0.002)	Loss 2.7142 (2.7586)	Prec@1 36.719 (34.296)	Prec@5 65.625 (64.620)
Epoch: [18][4680/14090]	Time 0.743 (0.765)	Data 0.001 (0.002)	Loss 2.7820 (2.7584)	Prec@1 33.594 (34.297)	Prec@5 63.281 (64.621)
Epoch: [18][4690/14090]	Time 0.838 (0.765)	Data 0.001 (0.002)	Loss 2.6863 (2.7583)	Prec@1 33.594 (34.297)	Prec@5 64.844 (64.620)
Epoch: [18][4700/14090]	Time 0.730 (0.765)	Data 0.001 (0.002)	Loss 2.9629 (2.7583)	Prec@1 34.375 (34.298)	Prec@5 60.156 (64.617)
Epoch: [18][4710/14090]	Time 0.735 (0.765)	Data 0.001 (0.002)	Loss 2.7310 (2.7582)	Prec@1 33.594 (34.302)	Prec@5 67.188 (64.621)
Epoch: [18][4720/14090]	Time 0.749 (0.765)	Data 0.001 (0.002)	Loss 2.6210 (2.7581)	Prec@1 41.406 (34.305)	Prec@5 67.969 (64.623)
Epoch: [18][4730/14090]	Time 0.762 (0.765)	Data 0.001 (0.002)	Loss 2.8082 (2.7581)	Prec@1 30.469 (34.300)	Prec@5 60.938 (64.623)
Epoch: [18][4740/14090]	Time 0.756 (0.765)	Data 0.001 (0.002)	Loss 2.6118 (2.7581)	Prec@1 39.062 (34.300)	Prec@5 67.969 (64.622)
Epoch: [18][4750/14090]	Time 0.747 (0.765)	Data 0.001 (0.002)	Loss 2.8249 (2.7581)	Prec@1 36.719 (34.300)	Prec@5 65.625 (64.624)
Epoch: [18][4760/14090]	Time 0.862 (0.765)	Data 0.001 (0.002)	Loss 2.6857 (2.7582)	Prec@1 39.062 (34.297)	Prec@5 64.844 (64.621)
Epoch: [18][4770/14090]	Time 0.740 (0.765)	Data 0.001 (0.002)	Loss 2.7108 (2.7581)	Prec@1 34.375 (34.298)	Prec@5 61.719 (64.623)
Epoch: [18][4780/14090]	Time 0.731 (0.765)	Data 0.001 (0.002)	Loss 2.6751 (2.7581)	Prec@1 33.594 (34.293)	Prec@5 64.062 (64.623)
Epoch: [18][4790/14090]	Time 0.736 (0.765)	Data 0.001 (0.002)	Loss 2.7160 (2.7579)	Prec@1 34.375 (34.295)	Prec@5 67.969 (64.627)
Epoch: [18][4800/14090]	Time 0.769 (0.765)	Data 0.001 (0.002)	Loss 2.5652 (2.7578)	Prec@1 36.719 (34.298)	Prec@5 67.188 (64.629)
Epoch: [18][4810/14090]	Time 0.738 (0.765)	Data 0.001 (0.002)	Loss 2.7808 (2.7580)	Prec@1 33.594 (34.298)	Prec@5 67.188 (64.628)
Epoch: [18][4820/14090]	Time 0.772 (0.765)	Data 0.001 (0.002)	Loss 3.2890 (2.7580)	Prec@1 28.906 (34.301)	Prec@5 56.250 (64.630)
Epoch: [18][4830/14090]	Time 0.867 (0.765)	Data 0.001 (0.002)	Loss 2.8886 (2.7578)	Prec@1 39.844 (34.309)	Prec@5 60.938 (64.630)
Epoch: [18][4840/14090]	Time 0.747 (0.765)	Data 0.001 (0.002)	Loss 2.5763 (2.7577)	Prec@1 35.938 (34.311)	Prec@5 73.438 (64.635)
Epoch: [18][4850/14090]	Time 0.750 (0.765)	Data 0.001 (0.002)	Loss 2.4758 (2.7577)	Prec@1 46.094 (34.314)	Prec@5 71.875 (64.634)
Epoch: [18][4860/14090]	Time 0.735 (0.765)	Data 0.001 (0.002)	Loss 3.0463 (2.7577)	Prec@1 27.344 (34.314)	Prec@5 58.594 (64.635)
Epoch: [18][4870/14090]	Time 0.739 (0.765)	Data 0.001 (0.002)	Loss 3.1609 (2.7578)	Prec@1 33.594 (34.318)	Prec@5 57.031 (64.631)
Epoch: [18][4880/14090]	Time 0.753 (0.765)	Data 0.001 (0.002)	Loss 2.5949 (2.7578)	Prec@1 39.062 (34.320)	Prec@5 68.750 (64.632)
Epoch: [18][4890/14090]	Time 0.731 (0.765)	Data 0.001 (0.002)	Loss 2.6441 (2.7578)	Prec@1 33.594 (34.316)	Prec@5 67.969 (64.633)
Epoch: [18][4900/14090]	Time 0.847 (0.765)	Data 0.001 (0.002)	Loss 2.8565 (2.7582)	Prec@1 35.938 (34.310)	Prec@5 63.281 (64.627)
Epoch: [18][4910/14090]	Time 0.730 (0.765)	Data 0.001 (0.002)	Loss 2.5787 (2.7582)	Prec@1 35.938 (34.309)	Prec@5 68.750 (64.629)
Epoch: [18][4920/14090]	Time 0.752 (0.765)	Data 0.001 (0.002)	Loss 2.4895 (2.7581)	Prec@1 39.062 (34.313)	Prec@5 72.656 (64.632)
Epoch: [18][4930/14090]	Time 0.742 (0.765)	Data 0.001 (0.002)	Loss 2.8250 (2.7583)	Prec@1 34.375 (34.308)	Prec@5 66.406 (64.627)
Epoch: [18][4940/14090]	Time 0.753 (0.765)	Data 0.001 (0.002)	Loss 2.9972 (2.7584)	Prec@1 32.812 (34.302)	Prec@5 56.250 (64.624)
Epoch: [18][4950/14090]	Time 0.754 (0.765)	Data 0.001 (0.002)	Loss 2.7311 (2.7582)	Prec@1 37.500 (34.304)	Prec@5 64.844 (64.625)
Epoch: [18][4960/14090]	Time 0.764 (0.765)	Data 0.001 (0.002)	Loss 2.7609 (2.7583)	Prec@1 34.375 (34.304)	Prec@5 62.500 (64.625)
Epoch: [18][4970/14090]	Time 0.857 (0.765)	Data 0.001 (0.002)	Loss 2.6555 (2.7583)	Prec@1 38.281 (34.304)	Prec@5 67.969 (64.627)
Epoch: [18][4980/14090]	Time 0.752 (0.765)	Data 0.001 (0.002)	Loss 2.8099 (2.7582)	Prec@1 34.375 (34.305)	Prec@5 63.281 (64.627)
Epoch: [18][4990/14090]	Time 0.725 (0.765)	Data 0.001 (0.002)	Loss 2.7123 (2.7582)	Prec@1 34.375 (34.306)	Prec@5 61.719 (64.625)
Epoch: [18][5000/14090]	Time 0.749 (0.765)	Data 0.001 (0.002)	Loss 2.6699 (2.7582)	Prec@1 35.938 (34.305)	Prec@5 64.844 (64.627)
Epoch: [18][5010/14090]	Time 0.754 (0.765)	Data 0.001 (0.002)	Loss 2.9271 (2.7581)	Prec@1 31.250 (34.304)	Prec@5 62.500 (64.628)
Epoch: [18][5020/14090]	Time 0.755 (0.765)	Data 0.001 (0.002)	Loss 2.3287 (2.7582)	Prec@1 40.625 (34.303)	Prec@5 73.438 (64.626)
Epoch: [18][5030/14090]	Time 0.750 (0.765)	Data 0.001 (0.002)	Loss 2.9548 (2.7581)	Prec@1 27.344 (34.304)	Prec@5 60.938 (64.627)
Epoch: [18][5040/14090]	Time 0.875 (0.765)	Data 0.001 (0.002)	Loss 2.8268 (2.7583)	Prec@1 34.375 (34.302)	Prec@5 67.188 (64.627)
Epoch: [18][5050/14090]	Time 0.771 (0.765)	Data 0.001 (0.002)	Loss 2.6555 (2.7583)	Prec@1 38.281 (34.304)	Prec@5 63.281 (64.628)
Epoch: [18][5060/14090]	Time 0.739 (0.765)	Data 0.002 (0.002)	Loss 2.6380 (2.7584)	Prec@1 37.500 (34.305)	Prec@5 69.531 (64.628)
Epoch: [18][5070/14090]	Time 0.747 (0.765)	Data 0.001 (0.002)	Loss 2.8076 (2.7585)	Prec@1 35.156 (34.309)	Prec@5 57.031 (64.623)
Epoch: [18][5080/14090]	Time 0.751 (0.765)	Data 0.001 (0.002)	Loss 2.6716 (2.7584)	Prec@1 36.719 (34.311)	Prec@5 67.969 (64.625)
Epoch: [18][5090/14090]	Time 0.758 (0.765)	Data 0.001 (0.002)	Loss 2.4097 (2.7583)	Prec@1 44.531 (34.313)	Prec@5 67.969 (64.623)
Epoch: [18][5100/14090]	Time 0.764 (0.765)	Data 0.001 (0.002)	Loss 2.4566 (2.7585)	Prec@1 39.844 (34.309)	Prec@5 71.875 (64.619)
Epoch: [18][5110/14090]	Time 0.861 (0.765)	Data 0.001 (0.002)	Loss 2.6225 (2.7584)	Prec@1 32.031 (34.309)	Prec@5 68.750 (64.621)
Epoch: [18][5120/14090]	Time 0.756 (0.765)	Data 0.001 (0.002)	Loss 2.5409 (2.7583)	Prec@1 38.281 (34.312)	Prec@5 66.406 (64.618)
Epoch: [18][5130/14090]	Time 0.739 (0.765)	Data 0.001 (0.002)	Loss 2.9597 (2.7584)	Prec@1 35.938 (34.312)	Prec@5 62.500 (64.614)
Epoch: [18][5140/14090]	Time 0.734 (0.765)	Data 0.001 (0.002)	Loss 2.7777 (2.7585)	Prec@1 28.906 (34.311)	Prec@5 63.281 (64.612)
Epoch: [18][5150/14090]	Time 0.749 (0.765)	Data 0.001 (0.002)	Loss 2.6585 (2.7585)	Prec@1 33.594 (34.311)	Prec@5 71.875 (64.615)
Epoch: [18][5160/14090]	Time 0.739 (0.765)	Data 0.001 (0.002)	Loss 2.8898 (2.7584)	Prec@1 34.375 (34.313)	Prec@5 62.500 (64.615)
Epoch: [18][5170/14090]	Time 0.741 (0.765)	Data 0.001 (0.002)	Loss 2.7718 (2.7585)	Prec@1 26.562 (34.310)	Prec@5 64.844 (64.615)
Epoch: [18][5180/14090]	Time 0.867 (0.765)	Data 0.001 (0.002)	Loss 2.7297 (2.7585)	Prec@1 39.844 (34.310)	Prec@5 68.750 (64.617)
Epoch: [18][5190/14090]	Time 0.740 (0.765)	Data 0.001 (0.002)	Loss 2.8004 (2.7585)	Prec@1 32.812 (34.306)	Prec@5 61.719 (64.616)
Epoch: [18][5200/14090]	Time 0.740 (0.765)	Data 0.001 (0.002)	Loss 2.8361 (2.7585)	Prec@1 33.594 (34.305)	Prec@5 61.719 (64.616)
Epoch: [18][5210/14090]	Time 0.777 (0.765)	Data 0.001 (0.002)	Loss 2.5753 (2.7584)	Prec@1 37.500 (34.303)	Prec@5 72.656 (64.618)
Epoch: [18][5220/14090]	Time 0.750 (0.765)	Data 0.001 (0.002)	Loss 2.9480 (2.7583)	Prec@1 32.812 (34.304)	Prec@5 61.719 (64.620)
Epoch: [18][5230/14090]	Time 0.751 (0.765)	Data 0.001 (0.002)	Loss 2.7361 (2.7583)	Prec@1 33.594 (34.304)	Prec@5 66.406 (64.621)
Epoch: [18][5240/14090]	Time 0.756 (0.765)	Data 0.001 (0.002)	Loss 3.0421 (2.7584)	Prec@1 30.469 (34.303)	Prec@5 56.250 (64.618)
Epoch: [18][5250/14090]	Time 0.882 (0.765)	Data 0.001 (0.002)	Loss 2.9143 (2.7585)	Prec@1 35.156 (34.300)	Prec@5 63.281 (64.618)
Epoch: [18][5260/14090]	Time 0.735 (0.765)	Data 0.001 (0.002)	Loss 2.5636 (2.7587)	Prec@1 38.281 (34.298)	Prec@5 69.531 (64.614)
Epoch: [18][5270/14090]	Time 0.745 (0.765)	Data 0.001 (0.002)	Loss 2.4046 (2.7586)	Prec@1 42.969 (34.297)	Prec@5 71.094 (64.616)
Epoch: [18][5280/14090]	Time 0.754 (0.765)	Data 0.001 (0.002)	Loss 2.7390 (2.7586)	Prec@1 36.719 (34.296)	Prec@5 64.062 (64.614)
Epoch: [18][5290/14090]	Time 0.780 (0.765)	Data 0.001 (0.002)	Loss 2.9631 (2.7586)	Prec@1 29.688 (34.298)	Prec@5 60.938 (64.615)
Epoch: [18][5300/14090]	Time 0.752 (0.765)	Data 0.001 (0.002)	Loss 3.0193 (2.7586)	Prec@1 31.250 (34.293)	Prec@5 57.031 (64.615)
Epoch: [18][5310/14090]	Time 0.760 (0.765)	Data 0.001 (0.002)	Loss 2.8672 (2.7586)	Prec@1 27.344 (34.296)	Prec@5 64.844 (64.616)
Epoch: [18][5320/14090]	Time 0.877 (0.765)	Data 0.001 (0.002)	Loss 2.8893 (2.7585)	Prec@1 35.938 (34.298)	Prec@5 59.375 (64.619)
Epoch: [18][5330/14090]	Time 0.736 (0.765)	Data 0.001 (0.002)	Loss 2.6080 (2.7584)	Prec@1 36.719 (34.301)	Prec@5 66.406 (64.620)
Epoch: [18][5340/14090]	Time 0.751 (0.765)	Data 0.001 (0.002)	Loss 2.8776 (2.7584)	Prec@1 35.938 (34.299)	Prec@5 60.156 (64.619)
Epoch: [18][5350/14090]	Time 0.786 (0.765)	Data 0.001 (0.002)	Loss 2.7393 (2.7584)	Prec@1 34.375 (34.299)	Prec@5 70.312 (64.620)
Epoch: [18][5360/14090]	Time 0.783 (0.765)	Data 0.001 (0.002)	Loss 2.5258 (2.7583)	Prec@1 38.281 (34.303)	Prec@5 66.406 (64.620)
Epoch: [18][5370/14090]	Time 0.749 (0.765)	Data 0.001 (0.002)	Loss 2.8824 (2.7586)	Prec@1 33.594 (34.299)	Prec@5 60.156 (64.615)
Epoch: [18][5380/14090]	Time 0.736 (0.765)	Data 0.001 (0.002)	Loss 2.7836 (2.7587)	Prec@1 30.469 (34.298)	Prec@5 61.719 (64.612)
Epoch: [18][5390/14090]	Time 0.834 (0.765)	Data 0.001 (0.002)	Loss 2.6787 (2.7586)	Prec@1 32.812 (34.297)	Prec@5 64.844 (64.612)
Epoch: [18][5400/14090]	Time 0.760 (0.765)	Data 0.001 (0.002)	Loss 2.8680 (2.7586)	Prec@1 29.688 (34.297)	Prec@5 61.719 (64.612)
Epoch: [18][5410/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.7549 (2.7585)	Prec@1 35.938 (34.300)	Prec@5 65.625 (64.614)
Epoch: [18][5420/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 2.5508 (2.7584)	Prec@1 36.719 (34.298)	Prec@5 71.875 (64.617)
Epoch: [18][5430/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.9387 (2.7585)	Prec@1 31.250 (34.294)	Prec@5 57.812 (64.618)
Epoch: [18][5440/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.9612 (2.7584)	Prec@1 32.812 (34.296)	Prec@5 66.406 (64.620)
Epoch: [18][5450/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.5216 (2.7585)	Prec@1 37.500 (34.293)	Prec@5 65.625 (64.615)
Epoch: [18][5460/14090]	Time 0.865 (0.765)	Data 0.001 (0.001)	Loss 2.7318 (2.7586)	Prec@1 36.719 (34.292)	Prec@5 64.844 (64.614)
Epoch: [18][5470/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.5824 (2.7585)	Prec@1 35.938 (34.296)	Prec@5 67.969 (64.616)
Epoch: [18][5480/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.6879 (2.7585)	Prec@1 30.469 (34.295)	Prec@5 67.188 (64.618)
Epoch: [18][5490/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.9392 (2.7585)	Prec@1 32.031 (34.297)	Prec@5 60.938 (64.619)
Epoch: [18][5500/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.7036 (2.7583)	Prec@1 36.719 (34.299)	Prec@5 63.281 (64.621)
Epoch: [18][5510/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.7822 (2.7584)	Prec@1 32.031 (34.294)	Prec@5 62.500 (64.618)
Epoch: [18][5520/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.8114 (2.7583)	Prec@1 37.500 (34.295)	Prec@5 63.281 (64.622)
Epoch: [18][5530/14090]	Time 0.871 (0.765)	Data 0.001 (0.001)	Loss 2.9560 (2.7582)	Prec@1 33.594 (34.295)	Prec@5 57.031 (64.623)
Epoch: [18][5540/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.3667 (2.7582)	Prec@1 42.969 (34.298)	Prec@5 71.875 (64.620)
Epoch: [18][5550/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.8530 (2.7582)	Prec@1 30.469 (34.300)	Prec@5 65.625 (64.623)
Epoch: [18][5560/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.9498 (2.7582)	Prec@1 34.375 (34.298)	Prec@5 64.062 (64.624)
Epoch: [18][5570/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.7444 (2.7582)	Prec@1 35.156 (34.302)	Prec@5 68.750 (64.624)
Epoch: [18][5580/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.6722 (2.7581)	Prec@1 42.188 (34.303)	Prec@5 72.656 (64.627)
Epoch: [18][5590/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.8141 (2.7582)	Prec@1 34.375 (34.301)	Prec@5 62.500 (64.622)
Epoch: [18][5600/14090]	Time 0.863 (0.765)	Data 0.001 (0.001)	Loss 3.0299 (2.7581)	Prec@1 32.812 (34.303)	Prec@5 64.062 (64.627)
Epoch: [18][5610/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.7191 (2.7580)	Prec@1 39.844 (34.308)	Prec@5 63.281 (64.628)
Epoch: [18][5620/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.7992 (2.7579)	Prec@1 34.375 (34.308)	Prec@5 62.500 (64.630)
Epoch: [18][5630/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.7035 (2.7579)	Prec@1 39.844 (34.309)	Prec@5 63.281 (64.632)
Epoch: [18][5640/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.6627 (2.7579)	Prec@1 32.812 (34.309)	Prec@5 64.062 (64.634)
Epoch: [18][5650/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.8070 (2.7580)	Prec@1 31.250 (34.303)	Prec@5 66.406 (64.634)
Epoch: [18][5660/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.5782 (2.7581)	Prec@1 38.281 (34.301)	Prec@5 64.844 (64.631)
Epoch: [18][5670/14090]	Time 0.863 (0.765)	Data 0.001 (0.001)	Loss 2.7447 (2.7582)	Prec@1 31.250 (34.298)	Prec@5 69.531 (64.631)
Epoch: [18][5680/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.5909 (2.7582)	Prec@1 36.719 (34.297)	Prec@5 65.625 (64.628)
Epoch: [18][5690/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 3.1986 (2.7582)	Prec@1 21.875 (34.294)	Prec@5 53.125 (64.624)
Epoch: [18][5700/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.7430 (2.7582)	Prec@1 30.469 (34.294)	Prec@5 71.094 (64.625)
Epoch: [18][5710/14090]	Time 0.779 (0.765)	Data 0.001 (0.001)	Loss 2.6423 (2.7581)	Prec@1 37.500 (34.295)	Prec@5 65.625 (64.627)
Epoch: [18][5720/14090]	Time 0.750 (0.765)	Data 0.000 (0.001)	Loss 2.8551 (2.7581)	Prec@1 33.594 (34.296)	Prec@5 60.156 (64.625)
Epoch: [18][5730/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.3824 (2.7581)	Prec@1 39.062 (34.296)	Prec@5 74.219 (64.626)
Epoch: [18][5740/14090]	Time 0.856 (0.765)	Data 0.001 (0.001)	Loss 2.9706 (2.7579)	Prec@1 29.688 (34.296)	Prec@5 64.844 (64.631)
Epoch: [18][5750/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.9815 (2.7580)	Prec@1 28.906 (34.292)	Prec@5 55.469 (64.629)
Epoch: [18][5760/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.6022 (2.7580)	Prec@1 39.062 (34.292)	Prec@5 71.094 (64.629)
Epoch: [18][5770/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 3.0992 (2.7580)	Prec@1 27.344 (34.292)	Prec@5 60.156 (64.629)
Epoch: [18][5780/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.5162 (2.7580)	Prec@1 35.156 (34.292)	Prec@5 66.406 (64.629)
Epoch: [18][5790/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.7747 (2.7580)	Prec@1 31.250 (34.291)	Prec@5 67.188 (64.630)
Epoch: [18][5800/14090]	Time 0.774 (0.765)	Data 0.001 (0.001)	Loss 2.8677 (2.7580)	Prec@1 35.156 (34.290)	Prec@5 62.500 (64.632)
Epoch: [18][5810/14090]	Time 0.868 (0.765)	Data 0.001 (0.001)	Loss 2.6408 (2.7580)	Prec@1 37.500 (34.289)	Prec@5 67.969 (64.631)
Epoch: [18][5820/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 3.1031 (2.7581)	Prec@1 28.125 (34.288)	Prec@5 57.031 (64.631)
Epoch: [18][5830/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.7081 (2.7580)	Prec@1 35.156 (34.289)	Prec@5 69.531 (64.635)
Epoch: [18][5840/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.7744 (2.7579)	Prec@1 38.281 (34.293)	Prec@5 62.500 (64.638)
Epoch: [18][5850/14090]	Time 0.771 (0.765)	Data 0.001 (0.001)	Loss 2.6386 (2.7579)	Prec@1 38.281 (34.292)	Prec@5 71.094 (64.637)
Epoch: [18][5860/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.9754 (2.7579)	Prec@1 29.688 (34.292)	Prec@5 58.594 (64.638)
Epoch: [18][5870/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.7269 (2.7577)	Prec@1 35.938 (34.296)	Prec@5 63.281 (64.641)
Epoch: [18][5880/14090]	Time 0.863 (0.765)	Data 0.001 (0.001)	Loss 2.6972 (2.7575)	Prec@1 38.281 (34.298)	Prec@5 65.625 (64.643)
Epoch: [18][5890/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.7400 (2.7575)	Prec@1 32.031 (34.296)	Prec@5 67.188 (64.643)
Epoch: [18][5900/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.6525 (2.7576)	Prec@1 32.031 (34.293)	Prec@5 69.531 (64.642)
Epoch: [18][5910/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.7093 (2.7577)	Prec@1 32.812 (34.292)	Prec@5 62.500 (64.638)
Epoch: [18][5920/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.7182 (2.7578)	Prec@1 40.625 (34.293)	Prec@5 64.062 (64.636)
Epoch: [18][5930/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.8806 (2.7578)	Prec@1 31.250 (34.293)	Prec@5 60.156 (64.634)
Epoch: [18][5940/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.6485 (2.7576)	Prec@1 37.500 (34.296)	Prec@5 64.844 (64.638)
Epoch: [18][5950/14090]	Time 0.875 (0.765)	Data 0.001 (0.001)	Loss 2.8243 (2.7576)	Prec@1 33.594 (34.296)	Prec@5 64.062 (64.637)
Epoch: [18][5960/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.5999 (2.7576)	Prec@1 36.719 (34.296)	Prec@5 68.750 (64.635)
Epoch: [18][5970/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.4696 (2.7575)	Prec@1 41.406 (34.297)	Prec@5 69.531 (64.636)
Epoch: [18][5980/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.6683 (2.7574)	Prec@1 33.594 (34.297)	Prec@5 65.625 (64.634)
Epoch: [18][5990/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.7698 (2.7575)	Prec@1 33.594 (34.293)	Prec@5 60.938 (64.632)
Epoch: [18][6000/14090]	Time 0.767 (0.765)	Data 0.001 (0.001)	Loss 2.9281 (2.7575)	Prec@1 30.469 (34.296)	Prec@5 59.375 (64.632)
Epoch: [18][6010/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.5949 (2.7576)	Prec@1 35.938 (34.295)	Prec@5 67.969 (64.628)
Epoch: [18][6020/14090]	Time 0.844 (0.765)	Data 0.001 (0.001)	Loss 2.5586 (2.7576)	Prec@1 34.375 (34.292)	Prec@5 71.875 (64.628)
Epoch: [18][6030/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 3.0160 (2.7577)	Prec@1 28.906 (34.291)	Prec@5 56.250 (64.625)
Epoch: [18][6040/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.5460 (2.7577)	Prec@1 40.625 (34.291)	Prec@5 64.844 (64.625)
Epoch: [18][6050/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.5632 (2.7577)	Prec@1 41.406 (34.291)	Prec@5 67.188 (64.625)
Epoch: [18][6060/14090]	Time 0.771 (0.765)	Data 0.001 (0.001)	Loss 2.9310 (2.7578)	Prec@1 36.719 (34.291)	Prec@5 57.031 (64.623)
Epoch: [18][6070/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.5926 (2.7577)	Prec@1 46.094 (34.297)	Prec@5 67.969 (64.625)
Epoch: [18][6080/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.6912 (2.7575)	Prec@1 32.812 (34.301)	Prec@5 60.156 (64.626)
Epoch: [18][6090/14090]	Time 0.864 (0.765)	Data 0.001 (0.001)	Loss 2.7525 (2.7576)	Prec@1 37.500 (34.300)	Prec@5 67.969 (64.624)
Epoch: [18][6100/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.6656 (2.7576)	Prec@1 33.594 (34.301)	Prec@5 67.188 (64.625)
Epoch: [18][6110/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.5281 (2.7575)	Prec@1 42.188 (34.301)	Prec@5 68.750 (64.626)
Epoch: [18][6120/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.7492 (2.7575)	Prec@1 38.281 (34.303)	Prec@5 64.062 (64.627)
Epoch: [18][6130/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.4949 (2.7575)	Prec@1 39.062 (34.302)	Prec@5 67.969 (64.628)
Epoch: [18][6140/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 3.0072 (2.7574)	Prec@1 27.344 (34.304)	Prec@5 60.938 (64.630)
Epoch: [18][6150/14090]	Time 0.768 (0.765)	Data 0.001 (0.001)	Loss 3.0211 (2.7573)	Prec@1 32.812 (34.307)	Prec@5 53.906 (64.630)
Epoch: [18][6160/14090]	Time 0.850 (0.765)	Data 0.001 (0.001)	Loss 2.8206 (2.7572)	Prec@1 37.500 (34.313)	Prec@5 60.938 (64.632)
Epoch: [18][6170/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.7956 (2.7573)	Prec@1 37.500 (34.310)	Prec@5 62.500 (64.628)
Epoch: [18][6180/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.8377 (2.7573)	Prec@1 32.031 (34.310)	Prec@5 62.500 (64.627)
Epoch: [18][6190/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.5293 (2.7573)	Prec@1 35.156 (34.308)	Prec@5 71.094 (64.629)
Epoch: [18][6200/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.8547 (2.7574)	Prec@1 28.125 (34.306)	Prec@5 65.625 (64.630)
Epoch: [18][6210/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.6445 (2.7575)	Prec@1 29.688 (34.304)	Prec@5 67.969 (64.628)
Epoch: [18][6220/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.6890 (2.7573)	Prec@1 35.938 (34.305)	Prec@5 67.188 (64.632)
Epoch: [18][6230/14090]	Time 0.861 (0.765)	Data 0.001 (0.001)	Loss 2.6933 (2.7573)	Prec@1 33.594 (34.304)	Prec@5 65.625 (64.632)
Epoch: [18][6240/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.8066 (2.7573)	Prec@1 32.031 (34.303)	Prec@5 64.062 (64.631)
Epoch: [18][6250/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.9349 (2.7574)	Prec@1 29.688 (34.300)	Prec@5 66.406 (64.630)
Epoch: [18][6260/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.6481 (2.7575)	Prec@1 35.156 (34.299)	Prec@5 71.094 (64.628)
Epoch: [18][6270/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.6203 (2.7573)	Prec@1 33.594 (34.302)	Prec@5 67.969 (64.633)
Epoch: [18][6280/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.6704 (2.7573)	Prec@1 37.500 (34.302)	Prec@5 64.062 (64.635)
Epoch: [18][6290/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.9012 (2.7572)	Prec@1 35.156 (34.302)	Prec@5 63.281 (64.637)
Epoch: [18][6300/14090]	Time 0.875 (0.765)	Data 0.001 (0.001)	Loss 2.8661 (2.7572)	Prec@1 35.156 (34.303)	Prec@5 61.719 (64.634)
Epoch: [18][6310/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.6209 (2.7573)	Prec@1 38.281 (34.303)	Prec@5 67.188 (64.635)
Epoch: [18][6320/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.6774 (2.7573)	Prec@1 35.156 (34.302)	Prec@5 67.969 (64.635)
Epoch: [18][6330/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.6972 (2.7574)	Prec@1 33.594 (34.302)	Prec@5 67.188 (64.634)
Epoch: [18][6340/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.8025 (2.7574)	Prec@1 29.688 (34.299)	Prec@5 64.062 (64.633)
Epoch: [18][6350/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.8254 (2.7573)	Prec@1 28.125 (34.300)	Prec@5 61.719 (64.633)
Epoch: [18][6360/14090]	Time 0.774 (0.765)	Data 0.001 (0.001)	Loss 3.0417 (2.7575)	Prec@1 28.906 (34.298)	Prec@5 62.500 (64.629)
Epoch: [18][6370/14090]	Time 0.841 (0.765)	Data 0.001 (0.001)	Loss 2.9292 (2.7575)	Prec@1 32.031 (34.298)	Prec@5 60.156 (64.627)
Epoch: [18][6380/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.8280 (2.7576)	Prec@1 34.375 (34.296)	Prec@5 64.062 (64.625)
Epoch: [18][6390/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.8273 (2.7576)	Prec@1 37.500 (34.296)	Prec@5 64.844 (64.621)
Epoch: [18][6400/14090]	Time 0.774 (0.765)	Data 0.001 (0.001)	Loss 2.6850 (2.7576)	Prec@1 36.719 (34.296)	Prec@5 69.531 (64.621)
Epoch: [18][6410/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.8965 (2.7576)	Prec@1 25.781 (34.298)	Prec@5 58.594 (64.619)
Epoch: [18][6420/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.6897 (2.7577)	Prec@1 37.500 (34.296)	Prec@5 62.500 (64.615)
Epoch: [18][6430/14090]	Time 0.779 (0.765)	Data 0.001 (0.001)	Loss 2.7737 (2.7578)	Prec@1 30.469 (34.297)	Prec@5 67.188 (64.615)
Epoch: [18][6440/14090]	Time 0.866 (0.765)	Data 0.001 (0.001)	Loss 2.6065 (2.7578)	Prec@1 34.375 (34.294)	Prec@5 67.188 (64.611)
Epoch: [18][6450/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.5172 (2.7579)	Prec@1 39.844 (34.294)	Prec@5 71.875 (64.611)
Epoch: [18][6460/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 3.0779 (2.7579)	Prec@1 31.250 (34.295)	Prec@5 62.500 (64.612)
Epoch: [18][6470/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.7807 (2.7579)	Prec@1 28.906 (34.295)	Prec@5 63.281 (64.612)
Epoch: [18][6480/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.5656 (2.7578)	Prec@1 43.750 (34.297)	Prec@5 67.188 (64.612)
Epoch: [18][6490/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.8570 (2.7580)	Prec@1 31.250 (34.294)	Prec@5 62.500 (64.609)
Epoch: [18][6500/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.8508 (2.7580)	Prec@1 26.562 (34.294)	Prec@5 61.719 (64.608)
Epoch: [18][6510/14090]	Time 0.889 (0.765)	Data 0.001 (0.001)	Loss 2.5939 (2.7579)	Prec@1 35.156 (34.295)	Prec@5 69.531 (64.609)
Epoch: [18][6520/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.7377 (2.7579)	Prec@1 33.594 (34.294)	Prec@5 64.062 (64.610)
Epoch: [18][6530/14090]	Time 0.721 (0.765)	Data 0.001 (0.001)	Loss 2.5293 (2.7578)	Prec@1 39.844 (34.298)	Prec@5 67.969 (64.611)
Epoch: [18][6540/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.5667 (2.7578)	Prec@1 39.844 (34.301)	Prec@5 71.094 (64.610)
Epoch: [18][6550/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.3162 (2.7578)	Prec@1 37.500 (34.300)	Prec@5 77.344 (64.611)
Epoch: [18][6560/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.7198 (2.7577)	Prec@1 37.500 (34.302)	Prec@5 63.281 (64.612)
Epoch: [18][6570/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.3903 (2.7576)	Prec@1 39.062 (34.304)	Prec@5 70.312 (64.613)
Epoch: [18][6580/14090]	Time 0.877 (0.765)	Data 0.001 (0.001)	Loss 2.6757 (2.7578)	Prec@1 37.500 (34.301)	Prec@5 66.406 (64.610)
Epoch: [18][6590/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 3.0046 (2.7578)	Prec@1 32.031 (34.303)	Prec@5 57.812 (64.611)
Epoch: [18][6600/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.7620 (2.7579)	Prec@1 39.844 (34.304)	Prec@5 64.062 (64.612)
Epoch: [18][6610/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.9452 (2.7579)	Prec@1 32.031 (34.305)	Prec@5 66.406 (64.612)
Epoch: [18][6620/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.8365 (2.7581)	Prec@1 32.031 (34.303)	Prec@5 67.188 (64.609)
Epoch: [18][6630/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.7461 (2.7580)	Prec@1 28.906 (34.304)	Prec@5 65.625 (64.611)
Epoch: [18][6640/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 3.0915 (2.7581)	Prec@1 34.375 (34.303)	Prec@5 60.156 (64.612)
Epoch: [18][6650/14090]	Time 0.867 (0.765)	Data 0.001 (0.001)	Loss 2.8960 (2.7581)	Prec@1 27.344 (34.299)	Prec@5 59.375 (64.610)
Epoch: [18][6660/14090]	Time 0.776 (0.765)	Data 0.001 (0.001)	Loss 3.0726 (2.7583)	Prec@1 29.688 (34.298)	Prec@5 62.500 (64.610)
Epoch: [18][6670/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.6696 (2.7584)	Prec@1 40.625 (34.297)	Prec@5 68.750 (64.609)
Epoch: [18][6680/14090]	Time 0.770 (0.765)	Data 0.001 (0.001)	Loss 2.6615 (2.7584)	Prec@1 32.031 (34.296)	Prec@5 64.844 (64.610)
Epoch: [18][6690/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.9396 (2.7585)	Prec@1 39.062 (34.294)	Prec@5 60.938 (64.607)
Epoch: [18][6700/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.7606 (2.7584)	Prec@1 33.594 (34.297)	Prec@5 64.062 (64.607)
Epoch: [18][6710/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.6271 (2.7582)	Prec@1 36.719 (34.297)	Prec@5 71.094 (64.612)
Epoch: [18][6720/14090]	Time 0.893 (0.765)	Data 0.001 (0.001)	Loss 2.6382 (2.7583)	Prec@1 40.625 (34.297)	Prec@5 67.188 (64.610)
Epoch: [18][6730/14090]	Time 0.773 (0.765)	Data 0.001 (0.001)	Loss 2.8897 (2.7582)	Prec@1 31.250 (34.296)	Prec@5 60.938 (64.609)
Epoch: [18][6740/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.6893 (2.7582)	Prec@1 41.406 (34.296)	Prec@5 67.188 (64.610)
Epoch: [18][6750/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 3.1204 (2.7583)	Prec@1 31.250 (34.297)	Prec@5 57.031 (64.608)
Epoch: [18][6760/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 3.0076 (2.7586)	Prec@1 29.688 (34.293)	Prec@5 60.938 (64.604)
Epoch: [18][6770/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.6573 (2.7585)	Prec@1 35.156 (34.295)	Prec@5 69.531 (64.604)
Epoch: [18][6780/14090]	Time 0.767 (0.765)	Data 0.001 (0.001)	Loss 2.6676 (2.7583)	Prec@1 32.812 (34.296)	Prec@5 63.281 (64.609)
Epoch: [18][6790/14090]	Time 0.852 (0.765)	Data 0.001 (0.001)	Loss 2.7269 (2.7582)	Prec@1 36.719 (34.298)	Prec@5 61.719 (64.610)
Epoch: [18][6800/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.9856 (2.7584)	Prec@1 32.031 (34.294)	Prec@5 58.594 (64.608)
Epoch: [18][6810/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.7772 (2.7585)	Prec@1 34.375 (34.291)	Prec@5 59.375 (64.605)
Epoch: [18][6820/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 3.0937 (2.7585)	Prec@1 31.250 (34.291)	Prec@5 60.156 (64.606)
Epoch: [18][6830/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 3.0600 (2.7586)	Prec@1 25.781 (34.286)	Prec@5 56.250 (64.603)
Epoch: [18][6840/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.6302 (2.7586)	Prec@1 36.719 (34.285)	Prec@5 69.531 (64.604)
Epoch: [18][6850/14090]	Time 0.771 (0.765)	Data 0.001 (0.001)	Loss 2.7195 (2.7586)	Prec@1 28.125 (34.286)	Prec@5 66.406 (64.603)
Epoch: [18][6860/14090]	Time 0.841 (0.765)	Data 0.001 (0.001)	Loss 2.5341 (2.7586)	Prec@1 37.500 (34.285)	Prec@5 67.188 (64.602)
Epoch: [18][6870/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 3.1347 (2.7587)	Prec@1 27.344 (34.282)	Prec@5 62.500 (64.600)
Epoch: [18][6880/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.7558 (2.7588)	Prec@1 28.906 (34.277)	Prec@5 63.281 (64.596)
Epoch: [18][6890/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.8263 (2.7588)	Prec@1 30.469 (34.275)	Prec@5 66.406 (64.597)
Epoch: [18][6900/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.6282 (2.7588)	Prec@1 34.375 (34.276)	Prec@5 61.719 (64.596)
Epoch: [18][6910/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.9876 (2.7588)	Prec@1 28.125 (34.275)	Prec@5 61.719 (64.596)
Epoch: [18][6920/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.9614 (2.7590)	Prec@1 29.688 (34.268)	Prec@5 60.156 (64.592)
Epoch: [18][6930/14090]	Time 0.868 (0.765)	Data 0.001 (0.001)	Loss 2.9002 (2.7590)	Prec@1 29.688 (34.268)	Prec@5 55.469 (64.591)
Epoch: [18][6940/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.8875 (2.7591)	Prec@1 29.688 (34.268)	Prec@5 59.375 (64.592)
Epoch: [18][6950/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.7793 (2.7591)	Prec@1 31.250 (34.268)	Prec@5 64.844 (64.591)
Epoch: [18][6960/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.8992 (2.7592)	Prec@1 27.344 (34.266)	Prec@5 66.406 (64.591)
Epoch: [18][6970/14090]	Time 0.769 (0.765)	Data 0.001 (0.001)	Loss 2.7361 (2.7592)	Prec@1 34.375 (34.264)	Prec@5 64.062 (64.588)
Epoch: [18][6980/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.7808 (2.7591)	Prec@1 28.125 (34.266)	Prec@5 70.312 (64.592)
Epoch: [18][6990/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.7592 (2.7592)	Prec@1 33.594 (34.266)	Prec@5 64.844 (64.593)
Epoch: [18][7000/14090]	Time 0.822 (0.765)	Data 0.001 (0.001)	Loss 2.8534 (2.7592)	Prec@1 35.938 (34.267)	Prec@5 65.625 (64.592)
Epoch: [18][7010/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.7366 (2.7591)	Prec@1 32.031 (34.266)	Prec@5 67.188 (64.594)
Epoch: [18][7020/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.6991 (2.7591)	Prec@1 30.469 (34.264)	Prec@5 67.188 (64.594)
Epoch: [18][7030/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.8433 (2.7593)	Prec@1 32.031 (34.263)	Prec@5 60.156 (64.592)
Epoch: [18][7040/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.5027 (2.7593)	Prec@1 33.594 (34.263)	Prec@5 69.531 (64.592)
Epoch: [18][7050/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.6950 (2.7592)	Prec@1 39.062 (34.264)	Prec@5 61.719 (64.593)
Epoch: [18][7060/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.6715 (2.7593)	Prec@1 29.688 (34.265)	Prec@5 67.969 (64.592)
Epoch: [18][7070/14090]	Time 0.861 (0.765)	Data 0.001 (0.001)	Loss 2.4744 (2.7593)	Prec@1 38.281 (34.263)	Prec@5 71.094 (64.591)
Epoch: [18][7080/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.8482 (2.7592)	Prec@1 30.469 (34.267)	Prec@5 60.156 (64.590)
Epoch: [18][7090/14090]	Time 0.722 (0.765)	Data 0.001 (0.001)	Loss 2.7684 (2.7592)	Prec@1 33.594 (34.268)	Prec@5 62.500 (64.591)
Epoch: [18][7100/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.8906 (2.7591)	Prec@1 28.125 (34.272)	Prec@5 60.156 (64.591)
Epoch: [18][7110/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.8347 (2.7591)	Prec@1 32.812 (34.270)	Prec@5 65.625 (64.593)
Epoch: [18][7120/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.8103 (2.7590)	Prec@1 31.250 (34.272)	Prec@5 67.188 (64.597)
Epoch: [18][7130/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.8040 (2.7590)	Prec@1 33.594 (34.273)	Prec@5 60.938 (64.597)
Epoch: [18][7140/14090]	Time 0.865 (0.765)	Data 0.001 (0.001)	Loss 3.1029 (2.7591)	Prec@1 29.688 (34.272)	Prec@5 53.906 (64.595)
Epoch: [18][7150/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.7590 (2.7591)	Prec@1 32.031 (34.272)	Prec@5 66.406 (64.595)
Epoch: [18][7160/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 2.8532 (2.7591)	Prec@1 35.938 (34.273)	Prec@5 61.719 (64.595)
Epoch: [18][7170/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.6961 (2.7590)	Prec@1 36.719 (34.274)	Prec@5 64.062 (64.596)
Epoch: [18][7180/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.7653 (2.7590)	Prec@1 28.125 (34.273)	Prec@5 65.625 (64.593)
Epoch: [18][7190/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.9989 (2.7590)	Prec@1 31.250 (34.272)	Prec@5 56.250 (64.592)
Epoch: [18][7200/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.9986 (2.7590)	Prec@1 28.906 (34.272)	Prec@5 60.156 (64.591)
Epoch: [18][7210/14090]	Time 0.853 (0.765)	Data 0.001 (0.001)	Loss 2.8908 (2.7590)	Prec@1 32.812 (34.270)	Prec@5 66.406 (64.589)
Epoch: [18][7220/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.9188 (2.7590)	Prec@1 32.031 (34.272)	Prec@5 60.156 (64.588)
Epoch: [18][7230/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.6590 (2.7590)	Prec@1 32.812 (34.272)	Prec@5 68.750 (64.589)
Epoch: [18][7240/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.7607 (2.7590)	Prec@1 35.938 (34.270)	Prec@5 64.844 (64.592)
Epoch: [18][7250/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.5964 (2.7590)	Prec@1 36.719 (34.269)	Prec@5 69.531 (64.592)
Epoch: [18][7260/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 3.0528 (2.7591)	Prec@1 29.688 (34.268)	Prec@5 58.594 (64.590)
Epoch: [18][7270/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.7693 (2.7591)	Prec@1 34.375 (34.268)	Prec@5 61.719 (64.590)
Epoch: [18][7280/14090]	Time 0.834 (0.765)	Data 0.001 (0.001)	Loss 2.7576 (2.7591)	Prec@1 31.250 (34.266)	Prec@5 67.969 (64.593)
Epoch: [18][7290/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.6432 (2.7591)	Prec@1 37.500 (34.269)	Prec@5 67.188 (64.594)
Epoch: [18][7300/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 2.8624 (2.7590)	Prec@1 36.719 (34.270)	Prec@5 67.188 (64.595)
Epoch: [18][7310/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.6916 (2.7589)	Prec@1 39.844 (34.272)	Prec@5 67.969 (64.599)
Epoch: [18][7320/14090]	Time 0.721 (0.765)	Data 0.001 (0.001)	Loss 2.9284 (2.7589)	Prec@1 28.906 (34.270)	Prec@5 60.156 (64.599)
Epoch: [18][7330/14090]	Time 0.771 (0.765)	Data 0.001 (0.001)	Loss 2.7206 (2.7590)	Prec@1 34.375 (34.272)	Prec@5 64.844 (64.597)
Epoch: [18][7340/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.8918 (2.7590)	Prec@1 34.375 (34.272)	Prec@5 59.375 (64.596)
Epoch: [18][7350/14090]	Time 0.830 (0.765)	Data 0.001 (0.001)	Loss 2.8237 (2.7590)	Prec@1 34.375 (34.271)	Prec@5 63.281 (64.596)
Epoch: [18][7360/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.8698 (2.7591)	Prec@1 29.688 (34.271)	Prec@5 56.250 (64.593)
Epoch: [18][7370/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.9975 (2.7593)	Prec@1 30.469 (34.268)	Prec@5 59.375 (64.591)
Epoch: [18][7380/14090]	Time 0.773 (0.765)	Data 0.001 (0.001)	Loss 2.5098 (2.7592)	Prec@1 34.375 (34.269)	Prec@5 73.438 (64.595)
Epoch: [18][7390/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 2.9682 (2.7592)	Prec@1 25.781 (34.268)	Prec@5 59.375 (64.595)
Epoch: [18][7400/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.6760 (2.7591)	Prec@1 34.375 (34.266)	Prec@5 64.844 (64.596)
Epoch: [18][7410/14090]	Time 0.788 (0.765)	Data 0.001 (0.001)	Loss 2.8777 (2.7592)	Prec@1 29.688 (34.265)	Prec@5 64.844 (64.595)
Epoch: [18][7420/14090]	Time 0.853 (0.765)	Data 0.001 (0.001)	Loss 2.9107 (2.7593)	Prec@1 35.938 (34.265)	Prec@5 60.156 (64.592)
Epoch: [18][7430/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 2.5863 (2.7594)	Prec@1 35.156 (34.264)	Prec@5 70.312 (64.588)
Epoch: [18][7440/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.8079 (2.7594)	Prec@1 32.031 (34.265)	Prec@5 60.938 (64.589)
Epoch: [18][7450/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.7107 (2.7593)	Prec@1 33.594 (34.265)	Prec@5 61.719 (64.587)
Epoch: [18][7460/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 3.0604 (2.7594)	Prec@1 32.031 (34.265)	Prec@5 60.938 (64.587)
Epoch: [18][7470/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.7454 (2.7593)	Prec@1 38.281 (34.267)	Prec@5 66.406 (64.588)
Epoch: [18][7480/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.9364 (2.7595)	Prec@1 26.562 (34.263)	Prec@5 63.281 (64.584)
Epoch: [18][7490/14090]	Time 0.846 (0.765)	Data 0.001 (0.001)	Loss 2.9159 (2.7595)	Prec@1 30.469 (34.263)	Prec@5 57.812 (64.584)
Epoch: [18][7500/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.3242 (2.7594)	Prec@1 41.406 (34.266)	Prec@5 76.562 (64.588)
Epoch: [18][7510/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.6727 (2.7593)	Prec@1 36.719 (34.265)	Prec@5 62.500 (64.587)
Epoch: [18][7520/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.6579 (2.7594)	Prec@1 41.406 (34.263)	Prec@5 67.188 (64.586)
Epoch: [18][7530/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.9301 (2.7595)	Prec@1 30.469 (34.259)	Prec@5 55.469 (64.582)
Epoch: [18][7540/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.8105 (2.7596)	Prec@1 32.031 (34.258)	Prec@5 64.844 (64.581)
Epoch: [18][7550/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.6704 (2.7596)	Prec@1 35.156 (34.259)	Prec@5 64.062 (64.580)
Epoch: [18][7560/14090]	Time 0.860 (0.765)	Data 0.001 (0.001)	Loss 2.9580 (2.7597)	Prec@1 28.906 (34.255)	Prec@5 57.812 (64.575)
Epoch: [18][7570/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.7946 (2.7597)	Prec@1 34.375 (34.256)	Prec@5 62.500 (64.574)
Epoch: [18][7580/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.8723 (2.7598)	Prec@1 32.031 (34.255)	Prec@5 61.719 (64.572)
Epoch: [18][7590/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.9038 (2.7597)	Prec@1 35.938 (34.257)	Prec@5 57.812 (64.575)
Epoch: [18][7600/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.9523 (2.7598)	Prec@1 29.688 (34.256)	Prec@5 63.281 (64.575)
Epoch: [18][7610/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 3.0601 (2.7599)	Prec@1 30.469 (34.255)	Prec@5 58.594 (64.572)
Epoch: [18][7620/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.4750 (2.7599)	Prec@1 35.156 (34.252)	Prec@5 68.750 (64.571)
Epoch: [18][7630/14090]	Time 0.856 (0.765)	Data 0.001 (0.001)	Loss 2.6320 (2.7599)	Prec@1 37.500 (34.250)	Prec@5 67.969 (64.572)
Epoch: [18][7640/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.6708 (2.7598)	Prec@1 34.375 (34.251)	Prec@5 67.969 (64.574)
Epoch: [18][7650/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.5577 (2.7599)	Prec@1 37.500 (34.250)	Prec@5 72.656 (64.573)
Epoch: [18][7660/14090]	Time 0.783 (0.765)	Data 0.001 (0.001)	Loss 2.9724 (2.7599)	Prec@1 32.812 (34.249)	Prec@5 68.750 (64.576)
Epoch: [18][7670/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.9114 (2.7599)	Prec@1 30.469 (34.251)	Prec@5 56.250 (64.576)
Epoch: [18][7680/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 3.1881 (2.7600)	Prec@1 25.000 (34.245)	Prec@5 57.031 (64.575)
Epoch: [18][7690/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.9708 (2.7601)	Prec@1 32.812 (34.245)	Prec@5 58.594 (64.573)
Epoch: [18][7700/14090]	Time 0.863 (0.765)	Data 0.001 (0.001)	Loss 3.0520 (2.7601)	Prec@1 36.719 (34.248)	Prec@5 59.375 (64.575)
Epoch: [18][7710/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 3.0233 (2.7601)	Prec@1 31.250 (34.250)	Prec@5 59.375 (64.574)
Epoch: [18][7720/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.8507 (2.7601)	Prec@1 34.375 (34.251)	Prec@5 63.281 (64.574)
Epoch: [18][7730/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 3.0175 (2.7601)	Prec@1 32.031 (34.252)	Prec@5 64.062 (64.577)
Epoch: [18][7740/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.7289 (2.7602)	Prec@1 31.250 (34.252)	Prec@5 63.281 (64.575)
Epoch: [18][7750/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.8608 (2.7603)	Prec@1 27.344 (34.248)	Prec@5 65.625 (64.572)
Epoch: [18][7760/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.7949 (2.7604)	Prec@1 37.500 (34.246)	Prec@5 65.625 (64.570)
Epoch: [18][7770/14090]	Time 0.874 (0.765)	Data 0.001 (0.001)	Loss 2.6848 (2.7604)	Prec@1 33.594 (34.247)	Prec@5 64.844 (64.568)
Epoch: [18][7780/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 3.0196 (2.7603)	Prec@1 32.812 (34.250)	Prec@5 54.688 (64.571)
Epoch: [18][7790/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.6801 (2.7601)	Prec@1 38.281 (34.253)	Prec@5 67.188 (64.576)
Epoch: [18][7800/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.6333 (2.7600)	Prec@1 33.594 (34.255)	Prec@5 64.062 (64.576)
Epoch: [18][7810/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.6314 (2.7599)	Prec@1 38.281 (34.257)	Prec@5 69.531 (64.579)
Epoch: [18][7820/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 3.1303 (2.7599)	Prec@1 30.469 (34.258)	Prec@5 60.156 (64.581)
Epoch: [18][7830/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.4157 (2.7598)	Prec@1 39.844 (34.258)	Prec@5 71.875 (64.580)
Epoch: [18][7840/14090]	Time 0.862 (0.765)	Data 0.001 (0.001)	Loss 2.8928 (2.7598)	Prec@1 30.469 (34.258)	Prec@5 62.500 (64.581)
Epoch: [18][7850/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.6778 (2.7598)	Prec@1 40.625 (34.259)	Prec@5 63.281 (64.578)
Epoch: [18][7860/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.8136 (2.7598)	Prec@1 37.500 (34.259)	Prec@5 68.750 (64.576)
Epoch: [18][7870/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.5739 (2.7599)	Prec@1 40.625 (34.259)	Prec@5 70.312 (64.576)
Epoch: [18][7880/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.6559 (2.7598)	Prec@1 39.062 (34.257)	Prec@5 67.969 (64.576)
Epoch: [18][7890/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.9929 (2.7599)	Prec@1 30.469 (34.257)	Prec@5 64.844 (64.574)
Epoch: [18][7900/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.6659 (2.7599)	Prec@1 35.156 (34.254)	Prec@5 67.969 (64.573)
Epoch: [18][7910/14090]	Time 0.838 (0.765)	Data 0.001 (0.001)	Loss 2.6844 (2.7599)	Prec@1 31.250 (34.254)	Prec@5 65.625 (64.573)
Epoch: [18][7920/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.7774 (2.7599)	Prec@1 33.594 (34.251)	Prec@5 67.969 (64.572)
Epoch: [18][7930/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.6240 (2.7599)	Prec@1 37.500 (34.251)	Prec@5 67.188 (64.572)
Epoch: [18][7940/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.2253 (2.7599)	Prec@1 42.969 (34.253)	Prec@5 75.781 (64.574)
Epoch: [18][7950/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.7092 (2.7599)	Prec@1 35.156 (34.252)	Prec@5 60.938 (64.574)
Epoch: [18][7960/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.6980 (2.7598)	Prec@1 38.281 (34.256)	Prec@5 62.500 (64.577)
Epoch: [18][7970/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.7509 (2.7599)	Prec@1 33.594 (34.255)	Prec@5 66.406 (64.575)
Epoch: [18][7980/14090]	Time 0.835 (0.765)	Data 0.001 (0.001)	Loss 2.8410 (2.7599)	Prec@1 32.031 (34.254)	Prec@5 64.062 (64.573)
Epoch: [18][7990/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.6573 (2.7598)	Prec@1 28.906 (34.256)	Prec@5 68.750 (64.577)
Epoch: [18][8000/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.9310 (2.7598)	Prec@1 33.594 (34.257)	Prec@5 63.281 (64.578)
Epoch: [18][8010/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.9411 (2.7598)	Prec@1 32.812 (34.259)	Prec@5 57.812 (64.580)
Epoch: [18][8020/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.7529 (2.7596)	Prec@1 37.500 (34.262)	Prec@5 67.188 (64.582)
Epoch: [18][8030/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.9433 (2.7598)	Prec@1 31.250 (34.259)	Prec@5 58.594 (64.578)
Epoch: [18][8040/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.9416 (2.7597)	Prec@1 32.031 (34.261)	Prec@5 61.719 (64.580)
Epoch: [18][8050/14090]	Time 0.866 (0.765)	Data 0.001 (0.001)	Loss 2.5416 (2.7598)	Prec@1 45.312 (34.259)	Prec@5 70.312 (64.580)
Epoch: [18][8060/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.4918 (2.7598)	Prec@1 45.312 (34.261)	Prec@5 69.531 (64.580)
Epoch: [18][8070/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.7710 (2.7598)	Prec@1 35.938 (34.262)	Prec@5 65.625 (64.579)
Epoch: [18][8080/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.4426 (2.7598)	Prec@1 40.625 (34.264)	Prec@5 75.781 (64.578)
Epoch: [18][8090/14090]	Time 0.775 (0.765)	Data 0.001 (0.001)	Loss 2.9141 (2.7599)	Prec@1 31.250 (34.262)	Prec@5 63.281 (64.576)
Epoch: [18][8100/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.6725 (2.7599)	Prec@1 32.031 (34.261)	Prec@5 68.750 (64.577)
Epoch: [18][8110/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.9256 (2.7600)	Prec@1 31.250 (34.260)	Prec@5 60.938 (64.575)
Epoch: [18][8120/14090]	Time 0.863 (0.765)	Data 0.001 (0.001)	Loss 2.7548 (2.7601)	Prec@1 29.688 (34.258)	Prec@5 61.719 (64.574)
Epoch: [18][8130/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 3.0122 (2.7602)	Prec@1 31.250 (34.256)	Prec@5 59.375 (64.572)
Epoch: [18][8140/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.8968 (2.7602)	Prec@1 27.344 (34.255)	Prec@5 67.969 (64.571)
Epoch: [18][8150/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.8928 (2.7602)	Prec@1 31.250 (34.254)	Prec@5 57.812 (64.571)
Epoch: [18][8160/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.7366 (2.7602)	Prec@1 34.375 (34.254)	Prec@5 67.188 (64.573)
Epoch: [18][8170/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.8442 (2.7601)	Prec@1 32.812 (34.256)	Prec@5 60.938 (64.573)
Epoch: [18][8180/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.8643 (2.7600)	Prec@1 34.375 (34.258)	Prec@5 63.281 (64.576)
Epoch: [18][8190/14090]	Time 0.856 (0.765)	Data 0.001 (0.001)	Loss 2.6913 (2.7601)	Prec@1 35.156 (34.256)	Prec@5 66.406 (64.575)
Epoch: [18][8200/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.7930 (2.7601)	Prec@1 33.594 (34.253)	Prec@5 60.938 (64.573)
Epoch: [18][8210/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.8603 (2.7601)	Prec@1 33.594 (34.253)	Prec@5 60.156 (64.575)
Epoch: [18][8220/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.7074 (2.7602)	Prec@1 39.844 (34.253)	Prec@5 65.625 (64.574)
Epoch: [18][8230/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.7961 (2.7601)	Prec@1 32.031 (34.253)	Prec@5 62.500 (64.575)
Epoch: [18][8240/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.8093 (2.7601)	Prec@1 38.281 (34.253)	Prec@5 64.844 (64.574)
Epoch: [18][8250/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 3.1763 (2.7600)	Prec@1 26.562 (34.257)	Prec@5 56.250 (64.577)
Epoch: [18][8260/14090]	Time 0.846 (0.765)	Data 0.001 (0.001)	Loss 2.6101 (2.7599)	Prec@1 36.719 (34.259)	Prec@5 67.188 (64.578)
Epoch: [18][8270/14090]	Time 0.778 (0.765)	Data 0.001 (0.001)	Loss 2.6232 (2.7599)	Prec@1 35.938 (34.258)	Prec@5 65.625 (64.578)
Epoch: [18][8280/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.6888 (2.7598)	Prec@1 37.500 (34.260)	Prec@5 63.281 (64.581)
Epoch: [18][8290/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.5593 (2.7597)	Prec@1 41.406 (34.262)	Prec@5 72.656 (64.583)
Epoch: [18][8300/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.8436 (2.7599)	Prec@1 38.281 (34.258)	Prec@5 62.500 (64.579)
Epoch: [18][8310/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.5103 (2.7599)	Prec@1 41.406 (34.259)	Prec@5 71.094 (64.580)
Epoch: [18][8320/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.7971 (2.7599)	Prec@1 35.938 (34.260)	Prec@5 67.188 (64.582)
Epoch: [18][8330/14090]	Time 0.814 (0.765)	Data 0.001 (0.001)	Loss 2.7849 (2.7599)	Prec@1 39.844 (34.261)	Prec@5 64.844 (64.581)
Epoch: [18][8340/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.7767 (2.7599)	Prec@1 30.469 (34.260)	Prec@5 68.750 (64.581)
Epoch: [18][8350/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.7689 (2.7599)	Prec@1 35.156 (34.259)	Prec@5 64.062 (64.584)
Epoch: [18][8360/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.4399 (2.7598)	Prec@1 38.281 (34.261)	Prec@5 71.094 (64.586)
Epoch: [18][8370/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.8676 (2.7598)	Prec@1 35.156 (34.259)	Prec@5 63.281 (64.586)
Epoch: [18][8380/14090]	Time 0.778 (0.765)	Data 0.001 (0.001)	Loss 2.3962 (2.7598)	Prec@1 42.188 (34.258)	Prec@5 68.750 (64.586)
Epoch: [18][8390/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.6933 (2.7598)	Prec@1 34.375 (34.257)	Prec@5 68.750 (64.586)
Epoch: [18][8400/14090]	Time 0.865 (0.765)	Data 0.001 (0.001)	Loss 2.8287 (2.7597)	Prec@1 28.125 (34.258)	Prec@5 66.406 (64.587)
Epoch: [18][8410/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 2.7680 (2.7598)	Prec@1 37.500 (34.259)	Prec@5 66.406 (64.586)
Epoch: [18][8420/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.6959 (2.7598)	Prec@1 31.250 (34.258)	Prec@5 66.406 (64.588)
Epoch: [18][8430/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.8460 (2.7599)	Prec@1 32.031 (34.256)	Prec@5 57.812 (64.586)
Epoch: [18][8440/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.6467 (2.7598)	Prec@1 35.938 (34.256)	Prec@5 64.844 (64.586)
Epoch: [18][8450/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 3.0210 (2.7598)	Prec@1 24.219 (34.254)	Prec@5 59.375 (64.587)
Epoch: [18][8460/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.6547 (2.7599)	Prec@1 38.281 (34.252)	Prec@5 68.750 (64.586)
Epoch: [18][8470/14090]	Time 0.831 (0.765)	Data 0.001 (0.001)	Loss 2.8945 (2.7599)	Prec@1 32.031 (34.250)	Prec@5 60.938 (64.585)
Epoch: [18][8480/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.9152 (2.7599)	Prec@1 29.688 (34.248)	Prec@5 66.406 (64.584)
Epoch: [18][8490/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.6158 (2.7600)	Prec@1 41.406 (34.248)	Prec@5 64.844 (64.583)
Epoch: [18][8500/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.7629 (2.7600)	Prec@1 31.250 (34.246)	Prec@5 63.281 (64.581)
Epoch: [18][8510/14090]	Time 0.771 (0.765)	Data 0.001 (0.001)	Loss 2.7100 (2.7600)	Prec@1 37.500 (34.243)	Prec@5 64.062 (64.580)
Epoch: [18][8520/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.8723 (2.7600)	Prec@1 28.125 (34.244)	Prec@5 64.062 (64.579)
Epoch: [18][8530/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.4406 (2.7599)	Prec@1 35.156 (34.246)	Prec@5 69.531 (64.582)
Epoch: [18][8540/14090]	Time 0.869 (0.765)	Data 0.001 (0.001)	Loss 2.8438 (2.7599)	Prec@1 31.250 (34.243)	Prec@5 64.062 (64.582)
Epoch: [18][8550/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.4991 (2.7598)	Prec@1 41.406 (34.245)	Prec@5 65.625 (64.583)
Epoch: [18][8560/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.7340 (2.7598)	Prec@1 35.156 (34.247)	Prec@5 64.844 (64.584)
Epoch: [18][8570/14090]	Time 0.788 (0.765)	Data 0.001 (0.001)	Loss 2.7387 (2.7599)	Prec@1 34.375 (34.245)	Prec@5 65.625 (64.581)
Epoch: [18][8580/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.9980 (2.7600)	Prec@1 32.031 (34.244)	Prec@5 60.938 (64.581)
Epoch: [18][8590/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 2.7857 (2.7601)	Prec@1 32.031 (34.243)	Prec@5 61.719 (64.581)
Epoch: [18][8600/14090]	Time 0.772 (0.765)	Data 0.001 (0.001)	Loss 2.8332 (2.7601)	Prec@1 30.469 (34.242)	Prec@5 63.281 (64.580)
Epoch: [18][8610/14090]	Time 0.876 (0.765)	Data 0.001 (0.001)	Loss 2.7436 (2.7600)	Prec@1 27.344 (34.242)	Prec@5 64.844 (64.582)
Epoch: [18][8620/14090]	Time 0.769 (0.765)	Data 0.001 (0.001)	Loss 2.6194 (2.7600)	Prec@1 42.969 (34.240)	Prec@5 70.312 (64.581)
Epoch: [18][8630/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.4156 (2.7600)	Prec@1 39.062 (34.241)	Prec@5 71.875 (64.582)
Epoch: [18][8640/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 3.0784 (2.7600)	Prec@1 32.031 (34.240)	Prec@5 62.500 (64.582)
Epoch: [18][8650/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.7018 (2.7600)	Prec@1 33.594 (34.239)	Prec@5 64.844 (64.582)
Epoch: [18][8660/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.6219 (2.7599)	Prec@1 38.281 (34.240)	Prec@5 68.750 (64.582)
Epoch: [18][8670/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.8700 (2.7600)	Prec@1 34.375 (34.241)	Prec@5 54.688 (64.580)
Epoch: [18][8680/14090]	Time 0.856 (0.765)	Data 0.001 (0.001)	Loss 2.8028 (2.7600)	Prec@1 35.156 (34.241)	Prec@5 60.938 (64.581)
Epoch: [18][8690/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.6689 (2.7600)	Prec@1 36.719 (34.240)	Prec@5 66.406 (64.579)
Epoch: [18][8700/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.8705 (2.7599)	Prec@1 38.281 (34.242)	Prec@5 63.281 (64.580)
Epoch: [18][8710/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.7444 (2.7599)	Prec@1 36.719 (34.242)	Prec@5 64.062 (64.580)
Epoch: [18][8720/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.8938 (2.7600)	Prec@1 34.375 (34.240)	Prec@5 64.844 (64.580)
Epoch: [18][8730/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.5030 (2.7600)	Prec@1 35.938 (34.241)	Prec@5 67.969 (64.583)
Epoch: [18][8740/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.6415 (2.7600)	Prec@1 36.719 (34.240)	Prec@5 66.406 (64.583)
Epoch: [18][8750/14090]	Time 0.872 (0.765)	Data 0.001 (0.001)	Loss 3.0654 (2.7600)	Prec@1 29.688 (34.240)	Prec@5 58.594 (64.585)
Epoch: [18][8760/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.9520 (2.7599)	Prec@1 31.250 (34.240)	Prec@5 64.062 (64.586)
Epoch: [18][8770/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.9337 (2.7599)	Prec@1 32.812 (34.241)	Prec@5 61.719 (64.587)
Epoch: [18][8780/14090]	Time 0.782 (0.765)	Data 0.001 (0.001)	Loss 3.0832 (2.7600)	Prec@1 33.594 (34.242)	Prec@5 55.469 (64.586)
Epoch: [18][8790/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.5494 (2.7600)	Prec@1 35.156 (34.241)	Prec@5 70.312 (64.585)
Epoch: [18][8800/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.9644 (2.7601)	Prec@1 30.469 (34.239)	Prec@5 62.500 (64.585)
Epoch: [18][8810/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.7349 (2.7600)	Prec@1 37.500 (34.241)	Prec@5 63.281 (64.587)
Epoch: [18][8820/14090]	Time 0.872 (0.765)	Data 0.001 (0.001)	Loss 2.8557 (2.7601)	Prec@1 31.250 (34.238)	Prec@5 57.812 (64.585)
Epoch: [18][8830/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.9879 (2.7601)	Prec@1 22.656 (34.236)	Prec@5 61.719 (64.584)
Epoch: [18][8840/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.8696 (2.7601)	Prec@1 32.031 (34.235)	Prec@5 66.406 (64.588)
Epoch: [18][8850/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.7055 (2.7601)	Prec@1 33.594 (34.234)	Prec@5 61.719 (64.587)
Epoch: [18][8860/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.9824 (2.7601)	Prec@1 29.688 (34.233)	Prec@5 61.719 (64.588)
Epoch: [18][8870/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.7401 (2.7602)	Prec@1 35.938 (34.230)	Prec@5 67.188 (64.586)
Epoch: [18][8880/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.9360 (2.7602)	Prec@1 31.250 (34.231)	Prec@5 65.625 (64.587)
Epoch: [18][8890/14090]	Time 0.845 (0.765)	Data 0.001 (0.001)	Loss 2.6848 (2.7602)	Prec@1 33.594 (34.230)	Prec@5 65.625 (64.586)
Epoch: [18][8900/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.6184 (2.7602)	Prec@1 31.250 (34.229)	Prec@5 67.188 (64.585)
Epoch: [18][8910/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.5126 (2.7602)	Prec@1 37.500 (34.230)	Prec@5 74.219 (64.586)
Epoch: [18][8920/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.8240 (2.7602)	Prec@1 36.719 (34.231)	Prec@5 57.031 (64.586)
Epoch: [18][8930/14090]	Time 0.767 (0.765)	Data 0.003 (0.001)	Loss 2.8313 (2.7602)	Prec@1 29.688 (34.233)	Prec@5 60.938 (64.586)
Epoch: [18][8940/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.5984 (2.7601)	Prec@1 36.719 (34.234)	Prec@5 70.312 (64.586)
Epoch: [18][8950/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.7323 (2.7603)	Prec@1 28.125 (34.231)	Prec@5 63.281 (64.581)
Epoch: [18][8960/14090]	Time 0.861 (0.765)	Data 0.001 (0.001)	Loss 2.5840 (2.7602)	Prec@1 38.281 (34.230)	Prec@5 63.281 (64.581)
Epoch: [18][8970/14090]	Time 0.775 (0.765)	Data 0.001 (0.001)	Loss 2.9251 (2.7601)	Prec@1 31.250 (34.232)	Prec@5 61.719 (64.583)
Epoch: [18][8980/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.5810 (2.7601)	Prec@1 32.031 (34.233)	Prec@5 71.094 (64.585)
Epoch: [18][8990/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.8599 (2.7601)	Prec@1 28.125 (34.233)	Prec@5 59.375 (64.586)
Epoch: [18][9000/14090]	Time 0.770 (0.765)	Data 0.001 (0.001)	Loss 3.1302 (2.7601)	Prec@1 26.562 (34.230)	Prec@5 58.594 (64.584)
Epoch: [18][9010/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.6805 (2.7602)	Prec@1 38.281 (34.229)	Prec@5 67.188 (64.582)
Epoch: [18][9020/14090]	Time 0.779 (0.765)	Data 0.001 (0.001)	Loss 3.0724 (2.7602)	Prec@1 26.562 (34.229)	Prec@5 60.156 (64.581)
Epoch: [18][9030/14090]	Time 0.877 (0.765)	Data 0.001 (0.001)	Loss 2.7849 (2.7602)	Prec@1 32.031 (34.229)	Prec@5 64.844 (64.582)
Epoch: [18][9040/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.7740 (2.7602)	Prec@1 32.812 (34.230)	Prec@5 62.500 (64.584)
Epoch: [18][9050/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.8003 (2.7602)	Prec@1 32.812 (34.230)	Prec@5 64.062 (64.583)
Epoch: [18][9060/14090]	Time 0.777 (0.765)	Data 0.001 (0.001)	Loss 2.8932 (2.7602)	Prec@1 34.375 (34.232)	Prec@5 62.500 (64.585)
Epoch: [18][9070/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 3.1009 (2.7603)	Prec@1 27.344 (34.232)	Prec@5 62.500 (64.583)
Epoch: [18][9080/14090]	Time 0.766 (0.765)	Data 0.001 (0.001)	Loss 2.8592 (2.7603)	Prec@1 31.250 (34.231)	Prec@5 65.625 (64.582)
Epoch: [18][9090/14090]	Time 0.778 (0.765)	Data 0.001 (0.001)	Loss 2.6319 (2.7604)	Prec@1 36.719 (34.231)	Prec@5 65.625 (64.582)
Epoch: [18][9100/14090]	Time 0.844 (0.765)	Data 0.001 (0.001)	Loss 2.7579 (2.7604)	Prec@1 31.250 (34.228)	Prec@5 64.062 (64.582)
Epoch: [18][9110/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.7771 (2.7603)	Prec@1 34.375 (34.229)	Prec@5 62.500 (64.582)
Epoch: [18][9120/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.9211 (2.7604)	Prec@1 32.812 (34.229)	Prec@5 60.938 (64.580)
Epoch: [18][9130/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 3.0333 (2.7604)	Prec@1 28.906 (34.227)	Prec@5 59.375 (64.578)
Epoch: [18][9140/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.8557 (2.7604)	Prec@1 30.469 (34.227)	Prec@5 61.719 (64.577)
Epoch: [18][9150/14090]	Time 0.767 (0.765)	Data 0.001 (0.001)	Loss 2.8931 (2.7605)	Prec@1 33.594 (34.226)	Prec@5 59.375 (64.573)
Epoch: [18][9160/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 3.1408 (2.7606)	Prec@1 28.906 (34.224)	Prec@5 57.812 (64.571)
Epoch: [18][9170/14090]	Time 0.862 (0.765)	Data 0.001 (0.001)	Loss 2.7974 (2.7607)	Prec@1 31.250 (34.223)	Prec@5 60.156 (64.570)
Epoch: [18][9180/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.7259 (2.7607)	Prec@1 33.594 (34.224)	Prec@5 65.625 (64.570)
Epoch: [18][9190/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.5504 (2.7607)	Prec@1 38.281 (34.223)	Prec@5 71.094 (64.569)
Epoch: [18][9200/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.9685 (2.7607)	Prec@1 29.688 (34.222)	Prec@5 64.062 (64.569)
Epoch: [18][9210/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.8126 (2.7608)	Prec@1 35.156 (34.223)	Prec@5 61.719 (64.569)
Epoch: [18][9220/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.6973 (2.7607)	Prec@1 31.250 (34.224)	Prec@5 67.969 (64.568)
Epoch: [18][9230/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.9500 (2.7607)	Prec@1 31.250 (34.224)	Prec@5 63.281 (64.569)
Epoch: [18][9240/14090]	Time 0.874 (0.765)	Data 0.001 (0.001)	Loss 2.9535 (2.7608)	Prec@1 32.031 (34.222)	Prec@5 55.469 (64.567)
Epoch: [18][9250/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.9391 (2.7608)	Prec@1 28.125 (34.220)	Prec@5 69.531 (64.567)
Epoch: [18][9260/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 2.6337 (2.7607)	Prec@1 39.844 (34.222)	Prec@5 63.281 (64.569)
Epoch: [18][9270/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 3.0077 (2.7607)	Prec@1 29.688 (34.221)	Prec@5 60.938 (64.568)
Epoch: [18][9280/14090]	Time 0.768 (0.765)	Data 0.001 (0.001)	Loss 2.8829 (2.7608)	Prec@1 28.906 (34.218)	Prec@5 64.062 (64.568)
Epoch: [18][9290/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.7691 (2.7607)	Prec@1 32.031 (34.218)	Prec@5 65.625 (64.570)
Epoch: [18][9300/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.8433 (2.7608)	Prec@1 35.938 (34.217)	Prec@5 59.375 (64.569)
Epoch: [18][9310/14090]	Time 0.855 (0.765)	Data 0.001 (0.001)	Loss 2.7176 (2.7608)	Prec@1 35.156 (34.215)	Prec@5 63.281 (64.567)
Epoch: [18][9320/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.8496 (2.7608)	Prec@1 33.594 (34.214)	Prec@5 62.500 (64.565)
Epoch: [18][9330/14090]	Time 0.718 (0.765)	Data 0.001 (0.001)	Loss 2.7638 (2.7609)	Prec@1 38.281 (34.212)	Prec@5 63.281 (64.563)
Epoch: [18][9340/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.9833 (2.7611)	Prec@1 33.594 (34.212)	Prec@5 57.031 (64.561)
Epoch: [18][9350/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.7964 (2.7611)	Prec@1 35.938 (34.211)	Prec@5 66.406 (64.559)
Epoch: [18][9360/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.6936 (2.7611)	Prec@1 35.156 (34.211)	Prec@5 64.062 (64.559)
Epoch: [18][9370/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.7677 (2.7612)	Prec@1 35.156 (34.213)	Prec@5 66.406 (64.558)
Epoch: [18][9380/14090]	Time 0.860 (0.765)	Data 0.001 (0.001)	Loss 2.8917 (2.7612)	Prec@1 29.688 (34.212)	Prec@5 61.719 (64.557)
Epoch: [18][9390/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.9478 (2.7612)	Prec@1 30.469 (34.212)	Prec@5 62.500 (64.556)
Epoch: [18][9400/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.6635 (2.7612)	Prec@1 35.938 (34.212)	Prec@5 68.750 (64.557)
Epoch: [18][9410/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.9808 (2.7612)	Prec@1 28.906 (34.213)	Prec@5 60.156 (64.558)
Epoch: [18][9420/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.7780 (2.7611)	Prec@1 33.594 (34.213)	Prec@5 67.188 (64.559)
Epoch: [18][9430/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.4663 (2.7611)	Prec@1 42.188 (34.215)	Prec@5 66.406 (64.559)
Epoch: [18][9440/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.8558 (2.7611)	Prec@1 30.469 (34.216)	Prec@5 62.500 (64.559)
Epoch: [18][9450/14090]	Time 0.860 (0.765)	Data 0.001 (0.001)	Loss 3.0200 (2.7611)	Prec@1 31.250 (34.215)	Prec@5 59.375 (64.556)
Epoch: [18][9460/14090]	Time 0.769 (0.765)	Data 0.001 (0.001)	Loss 2.7304 (2.7611)	Prec@1 32.031 (34.217)	Prec@5 62.500 (64.556)
Epoch: [18][9470/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.6922 (2.7611)	Prec@1 32.812 (34.215)	Prec@5 63.281 (64.557)
Epoch: [18][9480/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.8479 (2.7609)	Prec@1 32.031 (34.216)	Prec@5 63.281 (64.561)
Epoch: [18][9490/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.5378 (2.7609)	Prec@1 42.188 (34.217)	Prec@5 64.062 (64.560)
Epoch: [18][9500/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 3.0148 (2.7610)	Prec@1 28.906 (34.215)	Prec@5 53.906 (64.559)
Epoch: [18][9510/14090]	Time 0.721 (0.765)	Data 0.001 (0.001)	Loss 2.8439 (2.7611)	Prec@1 33.594 (34.213)	Prec@5 61.719 (64.557)
Epoch: [18][9520/14090]	Time 0.843 (0.765)	Data 0.001 (0.001)	Loss 2.7578 (2.7611)	Prec@1 33.594 (34.214)	Prec@5 64.062 (64.555)
Epoch: [18][9530/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 3.0202 (2.7611)	Prec@1 29.688 (34.213)	Prec@5 57.031 (64.555)
Epoch: [18][9540/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.6578 (2.7610)	Prec@1 40.625 (34.213)	Prec@5 67.969 (64.556)
Epoch: [18][9550/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.6405 (2.7609)	Prec@1 35.938 (34.215)	Prec@5 63.281 (64.556)
Epoch: [18][9560/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 3.0519 (2.7609)	Prec@1 23.438 (34.215)	Prec@5 61.719 (64.557)
Epoch: [18][9570/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.9447 (2.7609)	Prec@1 30.469 (34.215)	Prec@5 60.156 (64.556)
Epoch: [18][9580/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.8644 (2.7610)	Prec@1 32.031 (34.216)	Prec@5 63.281 (64.556)
Epoch: [18][9590/14090]	Time 0.890 (0.765)	Data 0.001 (0.001)	Loss 2.9005 (2.7610)	Prec@1 35.156 (34.215)	Prec@5 62.500 (64.555)
Epoch: [18][9600/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.6139 (2.7610)	Prec@1 34.375 (34.214)	Prec@5 65.625 (64.554)
Epoch: [18][9610/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.8296 (2.7611)	Prec@1 38.281 (34.213)	Prec@5 63.281 (64.554)
Epoch: [18][9620/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.7474 (2.7611)	Prec@1 37.500 (34.212)	Prec@5 71.094 (64.553)
Epoch: [18][9630/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.5261 (2.7612)	Prec@1 38.281 (34.211)	Prec@5 67.188 (64.551)
Epoch: [18][9640/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.8734 (2.7611)	Prec@1 32.031 (34.214)	Prec@5 60.938 (64.552)
Epoch: [18][9650/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.5893 (2.7612)	Prec@1 36.719 (34.213)	Prec@5 67.188 (64.549)
Epoch: [18][9660/14090]	Time 0.854 (0.765)	Data 0.001 (0.001)	Loss 2.5289 (2.7612)	Prec@1 42.969 (34.212)	Prec@5 70.312 (64.548)
Epoch: [18][9670/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.5458 (2.7612)	Prec@1 44.531 (34.213)	Prec@5 67.969 (64.548)
Epoch: [18][9680/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.9056 (2.7612)	Prec@1 32.812 (34.212)	Prec@5 60.938 (64.546)
Epoch: [18][9690/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.9590 (2.7613)	Prec@1 32.031 (34.212)	Prec@5 60.938 (64.546)
Epoch: [18][9700/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.6837 (2.7613)	Prec@1 34.375 (34.210)	Prec@5 58.594 (64.545)
Epoch: [18][9710/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 3.0346 (2.7614)	Prec@1 33.594 (34.209)	Prec@5 62.500 (64.544)
Epoch: [18][9720/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.8726 (2.7614)	Prec@1 32.812 (34.211)	Prec@5 63.281 (64.544)
Epoch: [18][9730/14090]	Time 0.884 (0.765)	Data 0.001 (0.001)	Loss 2.8702 (2.7614)	Prec@1 34.375 (34.212)	Prec@5 59.375 (64.545)
Epoch: [18][9740/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.8400 (2.7614)	Prec@1 32.031 (34.212)	Prec@5 59.375 (64.545)
Epoch: [18][9750/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.6155 (2.7614)	Prec@1 36.719 (34.214)	Prec@5 65.625 (64.543)
Epoch: [18][9760/14090]	Time 0.771 (0.765)	Data 0.001 (0.001)	Loss 2.8273 (2.7614)	Prec@1 27.344 (34.213)	Prec@5 60.938 (64.543)
Epoch: [18][9770/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.9798 (2.7615)	Prec@1 34.375 (34.212)	Prec@5 64.844 (64.542)
Epoch: [18][9780/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.9809 (2.7615)	Prec@1 28.906 (34.212)	Prec@5 60.156 (64.541)
Epoch: [18][9790/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.6432 (2.7616)	Prec@1 34.375 (34.212)	Prec@5 68.750 (64.540)
Epoch: [18][9800/14090]	Time 0.873 (0.765)	Data 0.001 (0.001)	Loss 2.7726 (2.7618)	Prec@1 39.062 (34.211)	Prec@5 60.156 (64.538)
Epoch: [18][9810/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.7212 (2.7617)	Prec@1 37.500 (34.212)	Prec@5 64.844 (64.538)
Epoch: [18][9820/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.5802 (2.7617)	Prec@1 35.156 (34.212)	Prec@5 71.875 (64.540)
Epoch: [18][9830/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.5304 (2.7617)	Prec@1 36.719 (34.211)	Prec@5 60.156 (64.539)
Epoch: [18][9840/14090]	Time 0.777 (0.765)	Data 0.001 (0.001)	Loss 2.7889 (2.7618)	Prec@1 35.156 (34.209)	Prec@5 61.719 (64.537)
Epoch: [18][9850/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 3.1469 (2.7618)	Prec@1 27.344 (34.209)	Prec@5 60.156 (64.538)
Epoch: [18][9860/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.6808 (2.7617)	Prec@1 35.156 (34.212)	Prec@5 73.438 (64.541)
Epoch: [18][9870/14090]	Time 0.845 (0.765)	Data 0.001 (0.001)	Loss 2.6669 (2.7616)	Prec@1 36.719 (34.213)	Prec@5 66.406 (64.541)
Epoch: [18][9880/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.8793 (2.7617)	Prec@1 28.906 (34.211)	Prec@5 63.281 (64.541)
Epoch: [18][9890/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 3.0322 (2.7618)	Prec@1 34.375 (34.212)	Prec@5 56.250 (64.538)
Epoch: [18][9900/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.6892 (2.7618)	Prec@1 40.625 (34.212)	Prec@5 67.188 (64.536)
Epoch: [18][9910/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.9334 (2.7618)	Prec@1 32.812 (34.210)	Prec@5 64.844 (64.535)
Epoch: [18][9920/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.5682 (2.7618)	Prec@1 39.844 (34.211)	Prec@5 68.750 (64.537)
Epoch: [18][9930/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.4285 (2.7618)	Prec@1 37.500 (34.212)	Prec@5 70.312 (64.537)
Epoch: [18][9940/14090]	Time 0.851 (0.765)	Data 0.001 (0.001)	Loss 2.9020 (2.7619)	Prec@1 29.688 (34.210)	Prec@5 58.594 (64.534)
Epoch: [18][9950/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.6785 (2.7618)	Prec@1 36.719 (34.212)	Prec@5 67.188 (64.536)
Epoch: [18][9960/14090]	Time 0.788 (0.765)	Data 0.001 (0.001)	Loss 2.5036 (2.7617)	Prec@1 37.500 (34.214)	Prec@5 68.750 (64.536)
Epoch: [18][9970/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.7963 (2.7617)	Prec@1 30.469 (34.214)	Prec@5 62.500 (64.538)
Epoch: [18][9980/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.8659 (2.7617)	Prec@1 34.375 (34.214)	Prec@5 57.812 (64.539)
Epoch: [18][9990/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.5493 (2.7617)	Prec@1 36.719 (34.212)	Prec@5 71.094 (64.538)
Epoch: [18][10000/14090]	Time 0.769 (0.765)	Data 0.001 (0.001)	Loss 2.5745 (2.7617)	Prec@1 39.062 (34.213)	Prec@5 71.094 (64.538)
Epoch: [18][10010/14090]	Time 0.824 (0.765)	Data 0.001 (0.001)	Loss 2.9309 (2.7618)	Prec@1 34.375 (34.212)	Prec@5 60.156 (64.537)
Epoch: [18][10020/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.6515 (2.7617)	Prec@1 33.594 (34.212)	Prec@5 67.969 (64.538)
Epoch: [18][10030/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.8208 (2.7617)	Prec@1 30.469 (34.211)	Prec@5 63.281 (64.535)
Epoch: [18][10040/14090]	Time 0.776 (0.765)	Data 0.001 (0.001)	Loss 2.6396 (2.7616)	Prec@1 36.719 (34.212)	Prec@5 64.844 (64.537)
Epoch: [18][10050/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.8850 (2.7616)	Prec@1 39.062 (34.212)	Prec@5 62.500 (64.536)
Epoch: [18][10060/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.7048 (2.7616)	Prec@1 34.375 (34.213)	Prec@5 61.719 (64.537)
Epoch: [18][10070/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.8681 (2.7617)	Prec@1 31.250 (34.211)	Prec@5 59.375 (64.534)
Epoch: [18][10080/14090]	Time 0.843 (0.765)	Data 0.001 (0.001)	Loss 2.5314 (2.7617)	Prec@1 38.281 (34.212)	Prec@5 66.406 (64.534)
Epoch: [18][10090/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 3.0912 (2.7618)	Prec@1 32.031 (34.211)	Prec@5 58.594 (64.533)
Epoch: [18][10100/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.7896 (2.7617)	Prec@1 29.688 (34.211)	Prec@5 64.844 (64.534)
Epoch: [18][10110/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.8522 (2.7618)	Prec@1 32.812 (34.210)	Prec@5 64.062 (64.532)
Epoch: [18][10120/14090]	Time 0.778 (0.765)	Data 0.001 (0.001)	Loss 3.0986 (2.7619)	Prec@1 25.000 (34.209)	Prec@5 57.812 (64.532)
Epoch: [18][10130/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.9298 (2.7618)	Prec@1 35.156 (34.209)	Prec@5 57.031 (64.534)
Epoch: [18][10140/14090]	Time 0.769 (0.765)	Data 0.001 (0.001)	Loss 3.0564 (2.7619)	Prec@1 28.125 (34.207)	Prec@5 59.375 (64.532)
Epoch: [18][10150/14090]	Time 0.853 (0.765)	Data 0.001 (0.001)	Loss 2.4586 (2.7619)	Prec@1 40.625 (34.208)	Prec@5 69.531 (64.532)
Epoch: [18][10160/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.6300 (2.7618)	Prec@1 38.281 (34.211)	Prec@5 67.188 (64.536)
Epoch: [18][10170/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.6045 (2.7619)	Prec@1 36.719 (34.210)	Prec@5 64.844 (64.535)
Epoch: [18][10180/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.9829 (2.7620)	Prec@1 29.688 (34.210)	Prec@5 61.719 (64.534)
Epoch: [18][10190/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.6945 (2.7619)	Prec@1 39.062 (34.211)	Prec@5 64.844 (64.535)
Epoch: [18][10200/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.8398 (2.7619)	Prec@1 30.469 (34.210)	Prec@5 62.500 (64.535)
Epoch: [18][10210/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.5499 (2.7619)	Prec@1 35.938 (34.210)	Prec@5 68.750 (64.536)
Epoch: [18][10220/14090]	Time 0.843 (0.765)	Data 0.001 (0.001)	Loss 2.3073 (2.7619)	Prec@1 42.188 (34.210)	Prec@5 75.000 (64.535)
Epoch: [18][10230/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.9059 (2.7618)	Prec@1 38.281 (34.213)	Prec@5 60.156 (64.536)
Epoch: [18][10240/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.8937 (2.7618)	Prec@1 28.125 (34.212)	Prec@5 63.281 (64.535)
Epoch: [18][10250/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.4200 (2.7617)	Prec@1 39.844 (34.212)	Prec@5 69.531 (64.537)
Epoch: [18][10260/14090]	Time 0.767 (0.765)	Data 0.001 (0.001)	Loss 2.8443 (2.7617)	Prec@1 33.594 (34.212)	Prec@5 60.938 (64.538)
Epoch: [18][10270/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.5844 (2.7617)	Prec@1 34.375 (34.211)	Prec@5 67.969 (64.537)
Epoch: [18][10280/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.7146 (2.7617)	Prec@1 35.156 (34.211)	Prec@5 61.719 (64.538)
Epoch: [18][10290/14090]	Time 0.867 (0.765)	Data 0.001 (0.001)	Loss 2.7398 (2.7616)	Prec@1 33.594 (34.214)	Prec@5 64.062 (64.538)
Epoch: [18][10300/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 3.1631 (2.7615)	Prec@1 28.125 (34.215)	Prec@5 52.344 (64.539)
Epoch: [18][10310/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.9603 (2.7615)	Prec@1 28.906 (34.215)	Prec@5 62.500 (64.539)
Epoch: [18][10320/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.6996 (2.7615)	Prec@1 34.375 (34.213)	Prec@5 68.750 (64.538)
Epoch: [18][10330/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.6596 (2.7615)	Prec@1 32.031 (34.213)	Prec@5 64.844 (64.539)
Epoch: [18][10340/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.8669 (2.7614)	Prec@1 35.938 (34.215)	Prec@5 61.719 (64.540)
Epoch: [18][10350/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.7174 (2.7614)	Prec@1 37.500 (34.216)	Prec@5 66.406 (64.540)
Epoch: [18][10360/14090]	Time 0.864 (0.765)	Data 0.001 (0.001)	Loss 2.7102 (2.7614)	Prec@1 33.594 (34.216)	Prec@5 66.406 (64.542)
Epoch: [18][10370/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.6348 (2.7613)	Prec@1 35.938 (34.218)	Prec@5 71.094 (64.545)
Epoch: [18][10380/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 3.2228 (2.7614)	Prec@1 26.562 (34.217)	Prec@5 57.031 (64.542)
Epoch: [18][10390/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.8781 (2.7614)	Prec@1 29.688 (34.216)	Prec@5 66.406 (64.544)
Epoch: [18][10400/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.5303 (2.7614)	Prec@1 39.062 (34.216)	Prec@5 68.750 (64.543)
Epoch: [18][10410/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.9851 (2.7615)	Prec@1 33.594 (34.213)	Prec@5 60.156 (64.538)
Epoch: [18][10420/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.7086 (2.7616)	Prec@1 30.469 (34.212)	Prec@5 61.719 (64.537)
Epoch: [18][10430/14090]	Time 0.827 (0.765)	Data 0.001 (0.001)	Loss 2.5747 (2.7615)	Prec@1 36.719 (34.214)	Prec@5 67.188 (64.535)
Epoch: [18][10440/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 2.6780 (2.7616)	Prec@1 35.156 (34.214)	Prec@5 67.188 (64.534)
Epoch: [18][10450/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.8984 (2.7617)	Prec@1 33.594 (34.211)	Prec@5 63.281 (64.533)
Epoch: [18][10460/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.8493 (2.7616)	Prec@1 28.906 (34.212)	Prec@5 59.375 (64.533)
Epoch: [18][10470/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 3.0987 (2.7616)	Prec@1 29.688 (34.212)	Prec@5 60.938 (64.533)
Epoch: [18][10480/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.8734 (2.7616)	Prec@1 35.156 (34.212)	Prec@5 58.594 (64.533)
Epoch: [18][10490/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.7634 (2.7616)	Prec@1 30.469 (34.211)	Prec@5 65.625 (64.533)
Epoch: [18][10500/14090]	Time 0.865 (0.765)	Data 0.001 (0.001)	Loss 2.4694 (2.7615)	Prec@1 35.156 (34.212)	Prec@5 73.438 (64.535)
Epoch: [18][10510/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.9904 (2.7616)	Prec@1 31.250 (34.210)	Prec@5 54.688 (64.533)
Epoch: [18][10520/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 2.8000 (2.7616)	Prec@1 32.812 (34.209)	Prec@5 59.375 (64.533)
Epoch: [18][10530/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.6771 (2.7615)	Prec@1 39.844 (34.212)	Prec@5 64.844 (64.534)
Epoch: [18][10540/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.7676 (2.7615)	Prec@1 32.812 (34.213)	Prec@5 60.156 (64.534)
Epoch: [18][10550/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.9750 (2.7615)	Prec@1 32.812 (34.214)	Prec@5 61.719 (64.534)
Epoch: [18][10560/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.3666 (2.7614)	Prec@1 39.062 (34.216)	Prec@5 75.000 (64.535)
Epoch: [18][10570/14090]	Time 0.844 (0.765)	Data 0.001 (0.001)	Loss 2.9399 (2.7615)	Prec@1 24.219 (34.214)	Prec@5 63.281 (64.534)
Epoch: [18][10580/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 3.0891 (2.7616)	Prec@1 32.031 (34.214)	Prec@5 60.156 (64.533)
Epoch: [18][10590/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.8361 (2.7616)	Prec@1 36.719 (34.213)	Prec@5 71.094 (64.532)
Epoch: [18][10600/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.9551 (2.7617)	Prec@1 31.250 (34.213)	Prec@5 60.938 (64.532)
Epoch: [18][10610/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.6881 (2.7616)	Prec@1 35.156 (34.214)	Prec@5 69.531 (64.535)
Epoch: [18][10620/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.8212 (2.7616)	Prec@1 35.938 (34.215)	Prec@5 64.844 (64.536)
Epoch: [18][10630/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 3.0446 (2.7616)	Prec@1 28.906 (34.213)	Prec@5 62.500 (64.535)
Epoch: [18][10640/14090]	Time 0.833 (0.765)	Data 0.001 (0.001)	Loss 2.7563 (2.7616)	Prec@1 41.406 (34.213)	Prec@5 64.844 (64.535)
Epoch: [18][10650/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.8324 (2.7616)	Prec@1 36.719 (34.213)	Prec@5 60.938 (64.535)
Epoch: [18][10660/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.9941 (2.7616)	Prec@1 28.906 (34.213)	Prec@5 57.812 (64.536)
Epoch: [18][10670/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.5943 (2.7615)	Prec@1 40.625 (34.213)	Prec@5 68.750 (64.536)
Epoch: [18][10680/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.6145 (2.7615)	Prec@1 32.812 (34.214)	Prec@5 69.531 (64.536)
Epoch: [18][10690/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.9611 (2.7616)	Prec@1 32.031 (34.212)	Prec@5 60.156 (64.535)
Epoch: [18][10700/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.9089 (2.7617)	Prec@1 31.250 (34.209)	Prec@5 58.594 (64.533)
Epoch: [18][10710/14090]	Time 0.864 (0.765)	Data 0.001 (0.001)	Loss 2.7558 (2.7617)	Prec@1 33.594 (34.210)	Prec@5 64.844 (64.534)
Epoch: [18][10720/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.8965 (2.7617)	Prec@1 32.031 (34.211)	Prec@5 64.844 (64.533)
Epoch: [18][10730/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.7291 (2.7617)	Prec@1 32.031 (34.212)	Prec@5 63.281 (64.533)
Epoch: [18][10740/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.8376 (2.7617)	Prec@1 37.500 (34.212)	Prec@5 59.375 (64.533)
Epoch: [18][10750/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.3839 (2.7616)	Prec@1 44.531 (34.213)	Prec@5 72.656 (64.534)
Epoch: [18][10760/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 3.0375 (2.7616)	Prec@1 35.938 (34.214)	Prec@5 58.594 (64.533)
Epoch: [18][10770/14090]	Time 0.771 (0.765)	Data 0.001 (0.001)	Loss 2.7692 (2.7615)	Prec@1 34.375 (34.215)	Prec@5 63.281 (64.533)
Epoch: [18][10780/14090]	Time 0.836 (0.765)	Data 0.001 (0.001)	Loss 2.9235 (2.7615)	Prec@1 32.812 (34.215)	Prec@5 53.906 (64.532)
Epoch: [18][10790/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.6131 (2.7615)	Prec@1 42.188 (34.216)	Prec@5 68.750 (64.531)
Epoch: [18][10800/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.7539 (2.7616)	Prec@1 37.500 (34.214)	Prec@5 64.062 (64.529)
Epoch: [18][10810/14090]	Time 0.768 (0.765)	Data 0.001 (0.001)	Loss 2.6237 (2.7617)	Prec@1 35.156 (34.212)	Prec@5 65.625 (64.527)
Epoch: [18][10820/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 3.0469 (2.7616)	Prec@1 35.156 (34.216)	Prec@5 61.719 (64.530)
Epoch: [18][10830/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.9772 (2.7617)	Prec@1 27.344 (34.213)	Prec@5 57.812 (64.527)
Epoch: [18][10840/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 3.1130 (2.7618)	Prec@1 27.344 (34.210)	Prec@5 59.375 (64.527)
Epoch: [18][10850/14090]	Time 0.849 (0.765)	Data 0.001 (0.001)	Loss 2.6352 (2.7617)	Prec@1 33.594 (34.211)	Prec@5 69.531 (64.529)
Epoch: [18][10860/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.4375 (2.7617)	Prec@1 37.500 (34.211)	Prec@5 67.188 (64.527)
Epoch: [18][10870/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.6858 (2.7617)	Prec@1 35.156 (34.211)	Prec@5 65.625 (64.529)
Epoch: [18][10880/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.7360 (2.7617)	Prec@1 35.938 (34.209)	Prec@5 65.625 (64.527)
Epoch: [18][10890/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 2.8656 (2.7618)	Prec@1 32.031 (34.209)	Prec@5 62.500 (64.526)
Epoch: [18][10900/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.6591 (2.7617)	Prec@1 41.406 (34.209)	Prec@5 64.844 (64.527)
Epoch: [18][10910/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.4915 (2.7617)	Prec@1 37.500 (34.209)	Prec@5 71.094 (64.527)
Epoch: [18][10920/14090]	Time 0.847 (0.765)	Data 0.001 (0.001)	Loss 2.8641 (2.7617)	Prec@1 28.125 (34.208)	Prec@5 67.188 (64.526)
Epoch: [18][10930/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 3.1171 (2.7618)	Prec@1 28.906 (34.208)	Prec@5 54.688 (64.525)
Epoch: [18][10940/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 3.1534 (2.7618)	Prec@1 24.219 (34.206)	Prec@5 54.688 (64.525)
Epoch: [18][10950/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.9158 (2.7618)	Prec@1 31.250 (34.205)	Prec@5 60.938 (64.525)
Epoch: [18][10960/14090]	Time 0.721 (0.765)	Data 0.001 (0.001)	Loss 2.7513 (2.7619)	Prec@1 39.062 (34.204)	Prec@5 64.844 (64.524)
Epoch: [18][10970/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.8725 (2.7618)	Prec@1 31.250 (34.204)	Prec@5 57.031 (64.523)
Epoch: [18][10980/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.6917 (2.7618)	Prec@1 31.250 (34.204)	Prec@5 66.406 (64.524)
Epoch: [18][10990/14090]	Time 0.877 (0.765)	Data 0.001 (0.001)	Loss 2.7950 (2.7619)	Prec@1 28.125 (34.203)	Prec@5 62.500 (64.523)
Epoch: [18][11000/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.8641 (2.7618)	Prec@1 30.469 (34.203)	Prec@5 63.281 (64.524)
Epoch: [18][11010/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.8329 (2.7619)	Prec@1 36.719 (34.203)	Prec@5 62.500 (64.524)
Epoch: [18][11020/14090]	Time 0.776 (0.765)	Data 0.001 (0.001)	Loss 2.7830 (2.7618)	Prec@1 36.719 (34.205)	Prec@5 65.625 (64.525)
Epoch: [18][11030/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 3.0998 (2.7619)	Prec@1 27.344 (34.205)	Prec@5 53.125 (64.526)
Epoch: [18][11040/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.2266 (2.7618)	Prec@1 44.531 (34.207)	Prec@5 74.219 (64.527)
Epoch: [18][11050/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 3.0102 (2.7618)	Prec@1 34.375 (34.209)	Prec@5 60.938 (64.529)
Epoch: [18][11060/14090]	Time 0.847 (0.765)	Data 0.001 (0.001)	Loss 2.5847 (2.7616)	Prec@1 39.844 (34.211)	Prec@5 69.531 (64.533)
Epoch: [18][11070/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.7571 (2.7616)	Prec@1 34.375 (34.212)	Prec@5 62.500 (64.533)
Epoch: [18][11080/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.8036 (2.7617)	Prec@1 29.688 (34.212)	Prec@5 62.500 (64.532)
Epoch: [18][11090/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.8459 (2.7617)	Prec@1 36.719 (34.211)	Prec@5 65.625 (64.532)
Epoch: [18][11100/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.8847 (2.7617)	Prec@1 36.719 (34.211)	Prec@5 67.969 (64.532)
Epoch: [18][11110/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.5565 (2.7616)	Prec@1 38.281 (34.211)	Prec@5 70.312 (64.533)
Epoch: [18][11120/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.4521 (2.7616)	Prec@1 35.156 (34.211)	Prec@5 68.750 (64.534)
Epoch: [18][11130/14090]	Time 0.871 (0.765)	Data 0.001 (0.001)	Loss 2.7632 (2.7615)	Prec@1 33.594 (34.212)	Prec@5 67.969 (64.536)
Epoch: [18][11140/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.6931 (2.7614)	Prec@1 35.938 (34.214)	Prec@5 68.750 (64.539)
Epoch: [18][11150/14090]	Time 0.773 (0.765)	Data 0.001 (0.001)	Loss 2.5921 (2.7614)	Prec@1 37.500 (34.216)	Prec@5 68.750 (64.539)
Epoch: [18][11160/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.9513 (2.7615)	Prec@1 34.375 (34.215)	Prec@5 57.812 (64.537)
Epoch: [18][11170/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.7066 (2.7615)	Prec@1 35.938 (34.215)	Prec@5 65.625 (64.538)
Epoch: [18][11180/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.5114 (2.7615)	Prec@1 32.812 (34.215)	Prec@5 71.875 (64.538)
Epoch: [18][11190/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.6224 (2.7615)	Prec@1 32.812 (34.214)	Prec@5 68.750 (64.538)
Epoch: [18][11200/14090]	Time 0.869 (0.765)	Data 0.001 (0.001)	Loss 2.7665 (2.7614)	Prec@1 34.375 (34.216)	Prec@5 63.281 (64.541)
Epoch: [18][11210/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.8909 (2.7614)	Prec@1 31.250 (34.215)	Prec@5 59.375 (64.540)
Epoch: [18][11220/14090]	Time 0.770 (0.765)	Data 0.001 (0.001)	Loss 2.8607 (2.7615)	Prec@1 34.375 (34.213)	Prec@5 60.938 (64.539)
Epoch: [18][11230/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.7425 (2.7615)	Prec@1 35.938 (34.213)	Prec@5 65.625 (64.539)
Epoch: [18][11240/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.9203 (2.7615)	Prec@1 28.125 (34.213)	Prec@5 60.156 (64.539)
Epoch: [18][11250/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.6955 (2.7615)	Prec@1 30.469 (34.213)	Prec@5 67.969 (64.540)
Epoch: [18][11260/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.1925 (2.7615)	Prec@1 46.094 (34.212)	Prec@5 72.656 (64.540)
Epoch: [18][11270/14090]	Time 0.868 (0.765)	Data 0.001 (0.001)	Loss 2.6834 (2.7616)	Prec@1 35.156 (34.210)	Prec@5 66.406 (64.539)
Epoch: [18][11280/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.6644 (2.7616)	Prec@1 34.375 (34.211)	Prec@5 66.406 (64.538)
Epoch: [18][11290/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 3.1120 (2.7616)	Prec@1 27.344 (34.210)	Prec@5 59.375 (64.537)
Epoch: [18][11300/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.8664 (2.7615)	Prec@1 35.938 (34.209)	Prec@5 57.812 (64.538)
Epoch: [18][11310/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.8470 (2.7615)	Prec@1 35.156 (34.210)	Prec@5 62.500 (64.538)
Epoch: [18][11320/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.8966 (2.7616)	Prec@1 31.250 (34.209)	Prec@5 60.156 (64.536)
Epoch: [18][11330/14090]	Time 0.784 (0.765)	Data 0.001 (0.001)	Loss 2.6133 (2.7616)	Prec@1 33.594 (34.209)	Prec@5 67.188 (64.536)
Epoch: [18][11340/14090]	Time 0.860 (0.765)	Data 0.001 (0.001)	Loss 2.7213 (2.7615)	Prec@1 34.375 (34.211)	Prec@5 61.719 (64.537)
Epoch: [18][11350/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 3.1950 (2.7616)	Prec@1 26.562 (34.208)	Prec@5 57.812 (64.536)
Epoch: [18][11360/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.6867 (2.7616)	Prec@1 39.844 (34.209)	Prec@5 65.625 (64.537)
Epoch: [18][11370/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.7363 (2.7616)	Prec@1 31.250 (34.209)	Prec@5 67.188 (64.537)
Epoch: [18][11380/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.6467 (2.7615)	Prec@1 37.500 (34.211)	Prec@5 64.062 (64.536)
Epoch: [18][11390/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 2.9288 (2.7616)	Prec@1 32.812 (34.210)	Prec@5 64.062 (64.535)
Epoch: [18][11400/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.9247 (2.7617)	Prec@1 26.562 (34.209)	Prec@5 61.719 (64.533)
Epoch: [18][11410/14090]	Time 0.861 (0.765)	Data 0.001 (0.001)	Loss 2.5254 (2.7617)	Prec@1 36.719 (34.208)	Prec@5 73.438 (64.534)
Epoch: [18][11420/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.5948 (2.7616)	Prec@1 32.812 (34.209)	Prec@5 70.312 (64.536)
Epoch: [18][11430/14090]	Time 0.772 (0.765)	Data 0.001 (0.001)	Loss 3.1008 (2.7616)	Prec@1 26.562 (34.210)	Prec@5 53.906 (64.537)
Epoch: [18][11440/14090]	Time 0.766 (0.765)	Data 0.001 (0.001)	Loss 2.4751 (2.7615)	Prec@1 34.375 (34.210)	Prec@5 68.750 (64.537)
Epoch: [18][11450/14090]	Time 0.722 (0.765)	Data 0.001 (0.001)	Loss 2.9250 (2.7615)	Prec@1 34.375 (34.212)	Prec@5 64.062 (64.540)
Epoch: [18][11460/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.5233 (2.7614)	Prec@1 36.719 (34.211)	Prec@5 67.969 (64.539)
Epoch: [18][11470/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.9806 (2.7614)	Prec@1 31.250 (34.211)	Prec@5 63.281 (64.540)
Epoch: [18][11480/14090]	Time 0.863 (0.765)	Data 0.001 (0.001)	Loss 2.4780 (2.7614)	Prec@1 36.719 (34.211)	Prec@5 71.094 (64.540)
Epoch: [18][11490/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.6333 (2.7614)	Prec@1 38.281 (34.213)	Prec@5 67.969 (64.541)
Epoch: [18][11500/14090]	Time 0.775 (0.765)	Data 0.001 (0.001)	Loss 2.8298 (2.7614)	Prec@1 36.719 (34.213)	Prec@5 65.625 (64.540)
Epoch: [18][11510/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.8878 (2.7614)	Prec@1 28.906 (34.213)	Prec@5 59.375 (64.541)
Epoch: [18][11520/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.5023 (2.7613)	Prec@1 39.844 (34.215)	Prec@5 67.188 (64.543)
Epoch: [18][11530/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 3.0622 (2.7613)	Prec@1 28.125 (34.217)	Prec@5 59.375 (64.544)
Epoch: [18][11540/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.7983 (2.7613)	Prec@1 36.719 (34.217)	Prec@5 62.500 (64.543)
Epoch: [18][11550/14090]	Time 0.833 (0.765)	Data 0.001 (0.001)	Loss 2.6740 (2.7612)	Prec@1 35.938 (34.218)	Prec@5 66.406 (64.544)
Epoch: [18][11560/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.7403 (2.7613)	Prec@1 35.938 (34.216)	Prec@5 60.938 (64.541)
Epoch: [18][11570/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.6953 (2.7612)	Prec@1 35.156 (34.218)	Prec@5 64.844 (64.543)
Epoch: [18][11580/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.4657 (2.7612)	Prec@1 39.062 (34.217)	Prec@5 73.438 (64.544)
Epoch: [18][11590/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.6625 (2.7612)	Prec@1 46.094 (34.219)	Prec@5 63.281 (64.545)
Epoch: [18][11600/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.7376 (2.7612)	Prec@1 38.281 (34.218)	Prec@5 65.625 (64.544)
Epoch: [18][11610/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.5286 (2.7612)	Prec@1 40.625 (34.219)	Prec@5 66.406 (64.545)
Epoch: [18][11620/14090]	Time 0.877 (0.765)	Data 0.001 (0.001)	Loss 2.7619 (2.7612)	Prec@1 32.812 (34.220)	Prec@5 66.406 (64.547)
Epoch: [18][11630/14090]	Time 0.777 (0.765)	Data 0.001 (0.001)	Loss 2.6262 (2.7612)	Prec@1 35.156 (34.219)	Prec@5 67.188 (64.544)
Epoch: [18][11640/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.6421 (2.7612)	Prec@1 38.281 (34.220)	Prec@5 63.281 (64.542)
Epoch: [18][11650/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.7609 (2.7612)	Prec@1 38.281 (34.221)	Prec@5 64.844 (64.542)
Epoch: [18][11660/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.8658 (2.7613)	Prec@1 35.938 (34.219)	Prec@5 59.375 (64.541)
Epoch: [18][11670/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 3.0727 (2.7613)	Prec@1 27.344 (34.217)	Prec@5 57.812 (64.540)
Epoch: [18][11680/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.9187 (2.7614)	Prec@1 32.812 (34.218)	Prec@5 60.156 (64.539)
Epoch: [18][11690/14090]	Time 0.848 (0.765)	Data 0.001 (0.001)	Loss 2.9735 (2.7615)	Prec@1 26.562 (34.215)	Prec@5 57.031 (64.537)
Epoch: [18][11700/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 2.7853 (2.7615)	Prec@1 35.938 (34.215)	Prec@5 68.750 (64.537)
Epoch: [18][11710/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.7456 (2.7615)	Prec@1 39.062 (34.216)	Prec@5 66.406 (64.538)
Epoch: [18][11720/14090]	Time 0.785 (0.765)	Data 0.001 (0.001)	Loss 2.5068 (2.7615)	Prec@1 31.250 (34.215)	Prec@5 71.875 (64.536)
Epoch: [18][11730/14090]	Time 0.766 (0.765)	Data 0.001 (0.001)	Loss 2.8854 (2.7616)	Prec@1 32.031 (34.214)	Prec@5 60.938 (64.535)
Epoch: [18][11740/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.6837 (2.7616)	Prec@1 33.594 (34.215)	Prec@5 64.844 (64.534)
Epoch: [18][11750/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.8520 (2.7616)	Prec@1 31.250 (34.214)	Prec@5 64.062 (64.532)
Epoch: [18][11760/14090]	Time 0.835 (0.765)	Data 0.001 (0.001)	Loss 2.4762 (2.7615)	Prec@1 39.844 (34.215)	Prec@5 71.094 (64.534)
Epoch: [18][11770/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.8101 (2.7615)	Prec@1 40.625 (34.215)	Prec@5 62.500 (64.534)
Epoch: [18][11780/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.3366 (2.7615)	Prec@1 41.406 (34.215)	Prec@5 74.219 (64.533)
Epoch: [18][11790/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.8053 (2.7615)	Prec@1 32.812 (34.215)	Prec@5 64.062 (64.535)
Epoch: [18][11800/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.8082 (2.7615)	Prec@1 32.031 (34.215)	Prec@5 63.281 (64.536)
Epoch: [18][11810/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.9037 (2.7614)	Prec@1 32.812 (34.216)	Prec@5 63.281 (64.537)
Epoch: [18][11820/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.7684 (2.7614)	Prec@1 29.688 (34.217)	Prec@5 61.719 (64.539)
Epoch: [18][11830/14090]	Time 0.846 (0.765)	Data 0.001 (0.001)	Loss 2.5993 (2.7614)	Prec@1 34.375 (34.217)	Prec@5 67.969 (64.538)
Epoch: [18][11840/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.7742 (2.7614)	Prec@1 35.156 (34.215)	Prec@5 64.062 (64.538)
Epoch: [18][11850/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.8090 (2.7614)	Prec@1 35.156 (34.216)	Prec@5 63.281 (64.536)
Epoch: [18][11860/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.8695 (2.7614)	Prec@1 33.594 (34.216)	Prec@5 60.156 (64.537)
Epoch: [18][11870/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.7929 (2.7614)	Prec@1 37.500 (34.216)	Prec@5 67.969 (64.537)
Epoch: [18][11880/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.9333 (2.7613)	Prec@1 28.906 (34.217)	Prec@5 60.156 (64.539)
Epoch: [18][11890/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.6089 (2.7613)	Prec@1 35.938 (34.215)	Prec@5 67.188 (64.539)
Epoch: [18][11900/14090]	Time 0.851 (0.765)	Data 0.001 (0.001)	Loss 2.7980 (2.7613)	Prec@1 34.375 (34.216)	Prec@5 64.062 (64.539)
Epoch: [18][11910/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.8364 (2.7613)	Prec@1 33.594 (34.216)	Prec@5 61.719 (64.540)
Epoch: [18][11920/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.8543 (2.7613)	Prec@1 32.812 (34.215)	Prec@5 63.281 (64.540)
Epoch: [18][11930/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.7590 (2.7613)	Prec@1 32.031 (34.215)	Prec@5 64.844 (64.540)
Epoch: [18][11940/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.6730 (2.7613)	Prec@1 34.375 (34.215)	Prec@5 64.844 (64.539)
Epoch: [18][11950/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.7914 (2.7613)	Prec@1 32.812 (34.214)	Prec@5 65.625 (64.539)
Epoch: [18][11960/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.9721 (2.7614)	Prec@1 30.469 (34.214)	Prec@5 60.938 (64.538)
Epoch: [18][11970/14090]	Time 0.864 (0.765)	Data 0.001 (0.001)	Loss 2.7834 (2.7614)	Prec@1 35.938 (34.213)	Prec@5 66.406 (64.539)
Epoch: [18][11980/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.9364 (2.7614)	Prec@1 35.156 (34.213)	Prec@5 60.938 (64.538)
Epoch: [18][11990/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.8763 (2.7615)	Prec@1 32.812 (34.211)	Prec@5 62.500 (64.537)
Epoch: [18][12000/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.8644 (2.7615)	Prec@1 32.031 (34.211)	Prec@5 60.938 (64.536)
Epoch: [18][12010/14090]	Time 0.722 (0.765)	Data 0.001 (0.001)	Loss 2.8843 (2.7615)	Prec@1 31.250 (34.214)	Prec@5 62.500 (64.538)
Epoch: [18][12020/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.6963 (2.7615)	Prec@1 35.938 (34.211)	Prec@5 64.062 (64.536)
Epoch: [18][12030/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.8639 (2.7616)	Prec@1 32.812 (34.211)	Prec@5 67.969 (64.537)
Epoch: [18][12040/14090]	Time 0.844 (0.765)	Data 0.001 (0.001)	Loss 2.5074 (2.7616)	Prec@1 34.375 (34.212)	Prec@5 70.312 (64.536)
Epoch: [18][12050/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 3.0895 (2.7616)	Prec@1 25.000 (34.211)	Prec@5 56.250 (64.537)
Epoch: [18][12060/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.6611 (2.7616)	Prec@1 34.375 (34.211)	Prec@5 65.625 (64.535)
Epoch: [18][12070/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.7146 (2.7616)	Prec@1 31.250 (34.210)	Prec@5 60.938 (64.534)
Epoch: [18][12080/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.5331 (2.7616)	Prec@1 40.625 (34.212)	Prec@5 70.312 (64.536)
Epoch: [18][12090/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.6088 (2.7616)	Prec@1 33.594 (34.212)	Prec@5 61.719 (64.535)
Epoch: [18][12100/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 2.8695 (2.7616)	Prec@1 35.938 (34.210)	Prec@5 62.500 (64.535)
Epoch: [18][12110/14090]	Time 0.842 (0.765)	Data 0.001 (0.001)	Loss 2.8158 (2.7616)	Prec@1 39.062 (34.211)	Prec@5 60.938 (64.534)
Epoch: [18][12120/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.6337 (2.7617)	Prec@1 35.156 (34.212)	Prec@5 68.750 (64.533)
Epoch: [18][12130/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.7384 (2.7616)	Prec@1 38.281 (34.214)	Prec@5 61.719 (64.533)
Epoch: [18][12140/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.8403 (2.7617)	Prec@1 33.594 (34.214)	Prec@5 60.938 (64.532)
Epoch: [18][12150/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.9060 (2.7617)	Prec@1 32.031 (34.213)	Prec@5 59.375 (64.529)
Epoch: [18][12160/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.5078 (2.7617)	Prec@1 38.281 (34.214)	Prec@5 71.875 (64.531)
Epoch: [18][12170/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.5180 (2.7617)	Prec@1 39.062 (34.214)	Prec@5 70.312 (64.530)
Epoch: [18][12180/14090]	Time 0.804 (0.765)	Data 0.001 (0.001)	Loss 3.0538 (2.7617)	Prec@1 29.688 (34.214)	Prec@5 58.594 (64.530)
Epoch: [18][12190/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.7401 (2.7618)	Prec@1 38.281 (34.214)	Prec@5 64.062 (64.529)
Epoch: [18][12200/14090]	Time 0.767 (0.765)	Data 0.001 (0.001)	Loss 2.8393 (2.7618)	Prec@1 30.469 (34.212)	Prec@5 62.500 (64.526)
Epoch: [18][12210/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.6206 (2.7618)	Prec@1 38.281 (34.214)	Prec@5 66.406 (64.526)
Epoch: [18][12220/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.9397 (2.7618)	Prec@1 26.562 (34.213)	Prec@5 64.844 (64.527)
Epoch: [18][12230/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.7069 (2.7618)	Prec@1 34.375 (34.212)	Prec@5 67.188 (64.525)
Epoch: [18][12240/14090]	Time 0.766 (0.765)	Data 0.001 (0.001)	Loss 2.8335 (2.7618)	Prec@1 35.156 (34.212)	Prec@5 64.844 (64.524)
Epoch: [18][12250/14090]	Time 0.849 (0.765)	Data 0.001 (0.001)	Loss 3.0324 (2.7619)	Prec@1 28.906 (34.211)	Prec@5 58.594 (64.523)
Epoch: [18][12260/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.7804 (2.7619)	Prec@1 32.812 (34.212)	Prec@5 67.188 (64.522)
Epoch: [18][12270/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.4924 (2.7618)	Prec@1 32.812 (34.212)	Prec@5 70.312 (64.523)
Epoch: [18][12280/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.7554 (2.7619)	Prec@1 34.375 (34.211)	Prec@5 62.500 (64.522)
Epoch: [18][12290/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.8521 (2.7620)	Prec@1 32.031 (34.209)	Prec@5 60.938 (64.521)
Epoch: [18][12300/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.7535 (2.7620)	Prec@1 36.719 (34.208)	Prec@5 66.406 (64.522)
Epoch: [18][12310/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.9023 (2.7621)	Prec@1 27.344 (34.208)	Prec@5 65.625 (64.521)
Epoch: [18][12320/14090]	Time 0.834 (0.765)	Data 0.001 (0.001)	Loss 2.8481 (2.7621)	Prec@1 32.031 (34.207)	Prec@5 66.406 (64.520)
Epoch: [18][12330/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.6698 (2.7620)	Prec@1 33.594 (34.209)	Prec@5 65.625 (64.522)
Epoch: [18][12340/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.8683 (2.7619)	Prec@1 30.469 (34.211)	Prec@5 60.156 (64.522)
Epoch: [18][12350/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.7020 (2.7620)	Prec@1 36.719 (34.211)	Prec@5 62.500 (64.520)
Epoch: [18][12360/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.5969 (2.7619)	Prec@1 39.062 (34.212)	Prec@5 70.312 (64.519)
Epoch: [18][12370/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.6867 (2.7619)	Prec@1 35.156 (34.212)	Prec@5 65.625 (64.519)
Epoch: [18][12380/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.4610 (2.7619)	Prec@1 38.281 (34.212)	Prec@5 75.000 (64.518)
Epoch: [18][12390/14090]	Time 0.831 (0.765)	Data 0.001 (0.001)	Loss 2.7637 (2.7620)	Prec@1 39.062 (34.211)	Prec@5 64.844 (64.518)
Epoch: [18][12400/14090]	Time 0.783 (0.765)	Data 0.001 (0.001)	Loss 2.9395 (2.7620)	Prec@1 32.812 (34.210)	Prec@5 62.500 (64.518)
Epoch: [18][12410/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.9156 (2.7620)	Prec@1 32.812 (34.209)	Prec@5 59.375 (64.518)
Epoch: [18][12420/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 3.1594 (2.7620)	Prec@1 30.469 (34.210)	Prec@5 57.031 (64.518)
Epoch: [18][12430/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.9043 (2.7620)	Prec@1 28.906 (34.209)	Prec@5 60.938 (64.518)
Epoch: [18][12440/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.6200 (2.7620)	Prec@1 38.281 (34.210)	Prec@5 67.188 (64.517)
Epoch: [18][12450/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 3.0783 (2.7620)	Prec@1 26.562 (34.209)	Prec@5 60.156 (64.517)
Epoch: [18][12460/14090]	Time 0.877 (0.765)	Data 0.001 (0.001)	Loss 2.9261 (2.7620)	Prec@1 33.594 (34.208)	Prec@5 60.938 (64.516)
Epoch: [18][12470/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.5247 (2.7620)	Prec@1 37.500 (34.208)	Prec@5 72.656 (64.517)
Epoch: [18][12480/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.9001 (2.7621)	Prec@1 25.781 (34.207)	Prec@5 62.500 (64.517)
Epoch: [18][12490/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.5543 (2.7621)	Prec@1 34.375 (34.207)	Prec@5 67.969 (64.515)
Epoch: [18][12500/14090]	Time 0.775 (0.765)	Data 0.001 (0.001)	Loss 2.7830 (2.7620)	Prec@1 34.375 (34.207)	Prec@5 65.625 (64.516)
Epoch: [18][12510/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.7521 (2.7621)	Prec@1 34.375 (34.207)	Prec@5 66.406 (64.516)
Epoch: [18][12520/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.8889 (2.7621)	Prec@1 31.250 (34.207)	Prec@5 64.844 (64.516)
Epoch: [18][12530/14090]	Time 0.870 (0.765)	Data 0.001 (0.001)	Loss 2.9025 (2.7621)	Prec@1 35.938 (34.207)	Prec@5 61.719 (64.516)
Epoch: [18][12540/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.7075 (2.7621)	Prec@1 33.594 (34.206)	Prec@5 64.844 (64.516)
Epoch: [18][12550/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.8488 (2.7621)	Prec@1 31.250 (34.207)	Prec@5 59.375 (64.516)
Epoch: [18][12560/14090]	Time 0.778 (0.765)	Data 0.001 (0.001)	Loss 2.6078 (2.7620)	Prec@1 36.719 (34.207)	Prec@5 70.312 (64.518)
Epoch: [18][12570/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.8628 (2.7621)	Prec@1 35.938 (34.206)	Prec@5 64.844 (64.516)
Epoch: [18][12580/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.5742 (2.7621)	Prec@1 42.969 (34.206)	Prec@5 66.406 (64.516)
Epoch: [18][12590/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.7539 (2.7620)	Prec@1 33.594 (34.207)	Prec@5 65.625 (64.518)
Epoch: [18][12600/14090]	Time 0.857 (0.765)	Data 0.001 (0.001)	Loss 2.5891 (2.7620)	Prec@1 34.375 (34.207)	Prec@5 69.531 (64.519)
Epoch: [18][12610/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.9205 (2.7620)	Prec@1 25.000 (34.206)	Prec@5 57.031 (64.518)
Epoch: [18][12620/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.4937 (2.7620)	Prec@1 42.969 (34.206)	Prec@5 68.750 (64.517)
Epoch: [18][12630/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.4198 (2.7620)	Prec@1 42.188 (34.205)	Prec@5 71.875 (64.519)
Epoch: [18][12640/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.4865 (2.7619)	Prec@1 38.281 (34.206)	Prec@5 70.312 (64.520)
Epoch: [18][12650/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.5450 (2.7619)	Prec@1 41.406 (34.208)	Prec@5 67.188 (64.520)
Epoch: [18][12660/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.6407 (2.7619)	Prec@1 41.406 (34.208)	Prec@5 67.188 (64.520)
Epoch: [18][12670/14090]	Time 0.845 (0.765)	Data 0.001 (0.001)	Loss 2.6506 (2.7619)	Prec@1 42.188 (34.208)	Prec@5 66.406 (64.519)
Epoch: [18][12680/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.5184 (2.7618)	Prec@1 40.625 (34.209)	Prec@5 65.625 (64.520)
Epoch: [18][12690/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 3.0308 (2.7618)	Prec@1 36.719 (34.209)	Prec@5 57.031 (64.522)
Epoch: [18][12700/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.4680 (2.7618)	Prec@1 35.156 (34.209)	Prec@5 74.219 (64.522)
Epoch: [18][12710/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 3.0562 (2.7618)	Prec@1 31.250 (34.209)	Prec@5 56.250 (64.522)
Epoch: [18][12720/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.4537 (2.7617)	Prec@1 40.625 (34.210)	Prec@5 68.750 (64.523)
Epoch: [18][12730/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.8477 (2.7618)	Prec@1 30.469 (34.209)	Prec@5 57.812 (64.521)
Epoch: [18][12740/14090]	Time 0.872 (0.765)	Data 0.001 (0.001)	Loss 2.5963 (2.7617)	Prec@1 32.812 (34.209)	Prec@5 68.750 (64.522)
Epoch: [18][12750/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.8753 (2.7617)	Prec@1 33.594 (34.210)	Prec@5 60.938 (64.521)
Epoch: [18][12760/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.8472 (2.7617)	Prec@1 35.156 (34.211)	Prec@5 63.281 (64.522)
Epoch: [18][12770/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 2.8383 (2.7618)	Prec@1 35.938 (34.210)	Prec@5 64.844 (64.521)
Epoch: [18][12780/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.6246 (2.7618)	Prec@1 35.156 (34.211)	Prec@5 59.375 (64.521)
Epoch: [18][12790/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.7463 (2.7618)	Prec@1 30.469 (34.210)	Prec@5 64.062 (64.520)
Epoch: [18][12800/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.7919 (2.7618)	Prec@1 31.250 (34.208)	Prec@5 61.719 (64.520)
Epoch: [18][12810/14090]	Time 0.877 (0.765)	Data 0.001 (0.001)	Loss 3.0526 (2.7619)	Prec@1 34.375 (34.207)	Prec@5 57.031 (64.517)
Epoch: [18][12820/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.9714 (2.7619)	Prec@1 35.156 (34.208)	Prec@5 59.375 (64.519)
Epoch: [18][12830/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 2.6833 (2.7620)	Prec@1 37.500 (34.208)	Prec@5 67.969 (64.518)
Epoch: [18][12840/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.7642 (2.7620)	Prec@1 30.469 (34.209)	Prec@5 66.406 (64.518)
Epoch: [18][12850/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 3.0378 (2.7620)	Prec@1 28.906 (34.208)	Prec@5 58.594 (64.518)
Epoch: [18][12860/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.6596 (2.7620)	Prec@1 39.844 (34.209)	Prec@5 59.375 (64.517)
Epoch: [18][12870/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.8264 (2.7620)	Prec@1 34.375 (34.208)	Prec@5 62.500 (64.516)
Epoch: [18][12880/14090]	Time 0.842 (0.765)	Data 0.001 (0.001)	Loss 2.6610 (2.7621)	Prec@1 32.812 (34.207)	Prec@5 67.969 (64.516)
Epoch: [18][12890/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.8154 (2.7621)	Prec@1 32.812 (34.207)	Prec@5 63.281 (64.516)
Epoch: [18][12900/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.4212 (2.7621)	Prec@1 45.312 (34.208)	Prec@5 73.438 (64.517)
Epoch: [18][12910/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.9467 (2.7621)	Prec@1 26.562 (34.207)	Prec@5 60.938 (64.516)
Epoch: [18][12920/14090]	Time 0.774 (0.765)	Data 0.001 (0.001)	Loss 2.5563 (2.7620)	Prec@1 37.500 (34.209)	Prec@5 67.188 (64.518)
Epoch: [18][12930/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 3.1407 (2.7621)	Prec@1 29.688 (34.208)	Prec@5 60.938 (64.518)
Epoch: [18][12940/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 3.0481 (2.7621)	Prec@1 30.469 (34.210)	Prec@5 57.812 (64.518)
Epoch: [18][12950/14090]	Time 0.867 (0.765)	Data 0.001 (0.001)	Loss 2.9755 (2.7621)	Prec@1 30.469 (34.210)	Prec@5 62.500 (64.518)
Epoch: [18][12960/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.8742 (2.7621)	Prec@1 34.375 (34.211)	Prec@5 62.500 (64.518)
Epoch: [18][12970/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.6440 (2.7621)	Prec@1 34.375 (34.211)	Prec@5 65.625 (64.519)
Epoch: [18][12980/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.8590 (2.7621)	Prec@1 28.906 (34.210)	Prec@5 64.844 (64.518)
Epoch: [18][12990/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.7087 (2.7621)	Prec@1 37.500 (34.210)	Prec@5 66.406 (64.518)
Epoch: [18][13000/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.6122 (2.7620)	Prec@1 35.156 (34.211)	Prec@5 67.969 (64.520)
Epoch: [18][13010/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.8747 (2.7620)	Prec@1 35.938 (34.212)	Prec@5 66.406 (64.521)
Epoch: [18][13020/14090]	Time 0.826 (0.765)	Data 0.001 (0.001)	Loss 2.7372 (2.7620)	Prec@1 31.250 (34.211)	Prec@5 63.281 (64.520)
Epoch: [18][13030/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.5725 (2.7620)	Prec@1 42.188 (34.210)	Prec@5 67.969 (64.521)
Epoch: [18][13040/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.7487 (2.7620)	Prec@1 31.250 (34.209)	Prec@5 69.531 (64.522)
Epoch: [18][13050/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.9243 (2.7620)	Prec@1 32.031 (34.209)	Prec@5 57.812 (64.521)
Epoch: [18][13060/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.9630 (2.7621)	Prec@1 30.469 (34.208)	Prec@5 62.500 (64.521)
Epoch: [18][13070/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.6369 (2.7620)	Prec@1 39.844 (34.209)	Prec@5 63.281 (64.522)
Epoch: [18][13080/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.8987 (2.7620)	Prec@1 29.688 (34.210)	Prec@5 65.625 (64.524)
Epoch: [18][13090/14090]	Time 0.872 (0.765)	Data 0.001 (0.001)	Loss 2.6178 (2.7620)	Prec@1 42.188 (34.211)	Prec@5 67.188 (64.524)
Epoch: [18][13100/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.4578 (2.7620)	Prec@1 41.406 (34.210)	Prec@5 73.438 (64.523)
Epoch: [18][13110/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.7966 (2.7620)	Prec@1 27.344 (34.211)	Prec@5 67.188 (64.523)
Epoch: [18][13120/14090]	Time 0.774 (0.765)	Data 0.001 (0.001)	Loss 2.7342 (2.7620)	Prec@1 40.625 (34.213)	Prec@5 62.500 (64.525)
Epoch: [18][13130/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.6504 (2.7620)	Prec@1 33.594 (34.214)	Prec@5 65.625 (64.525)
Epoch: [18][13140/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.4899 (2.7620)	Prec@1 41.406 (34.213)	Prec@5 67.969 (64.525)
Epoch: [18][13150/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.7754 (2.7620)	Prec@1 32.812 (34.212)	Prec@5 63.281 (64.523)
Epoch: [18][13160/14090]	Time 0.844 (0.765)	Data 0.001 (0.001)	Loss 2.7622 (2.7620)	Prec@1 32.031 (34.211)	Prec@5 62.500 (64.523)
Epoch: [18][13170/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.6851 (2.7620)	Prec@1 32.812 (34.212)	Prec@5 68.750 (64.526)
Epoch: [18][13180/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.7251 (2.7619)	Prec@1 36.719 (34.211)	Prec@5 66.406 (64.526)
Epoch: [18][13190/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.6320 (2.7619)	Prec@1 40.625 (34.211)	Prec@5 67.188 (64.527)
Epoch: [18][13200/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.4108 (2.7619)	Prec@1 47.656 (34.213)	Prec@5 69.531 (64.526)
Epoch: [18][13210/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.6664 (2.7619)	Prec@1 35.156 (34.213)	Prec@5 64.844 (64.527)
Epoch: [18][13220/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.6162 (2.7620)	Prec@1 38.281 (34.212)	Prec@5 69.531 (64.527)
Epoch: [18][13230/14090]	Time 0.855 (0.765)	Data 0.001 (0.001)	Loss 2.3822 (2.7620)	Prec@1 49.219 (34.212)	Prec@5 71.094 (64.527)
Epoch: [18][13240/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.6680 (2.7619)	Prec@1 33.594 (34.214)	Prec@5 66.406 (64.528)
Epoch: [18][13250/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 2.7556 (2.7619)	Prec@1 35.156 (34.214)	Prec@5 60.938 (64.527)
Epoch: [18][13260/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.6745 (2.7619)	Prec@1 37.500 (34.214)	Prec@5 64.844 (64.527)
Epoch: [18][13270/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.8027 (2.7619)	Prec@1 39.062 (34.214)	Prec@5 62.500 (64.527)
Epoch: [18][13280/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.7707 (2.7620)	Prec@1 36.719 (34.214)	Prec@5 64.844 (64.526)
Epoch: [18][13290/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.7770 (2.7619)	Prec@1 26.562 (34.214)	Prec@5 65.625 (64.527)
Epoch: [18][13300/14090]	Time 0.845 (0.765)	Data 0.001 (0.001)	Loss 2.6297 (2.7619)	Prec@1 35.156 (34.215)	Prec@5 63.281 (64.528)
Epoch: [18][13310/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.9980 (2.7619)	Prec@1 25.000 (34.213)	Prec@5 57.812 (64.527)
Epoch: [18][13320/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.7135 (2.7619)	Prec@1 38.281 (34.214)	Prec@5 67.188 (64.526)
Epoch: [18][13330/14090]	Time 0.773 (0.765)	Data 0.001 (0.001)	Loss 2.7639 (2.7620)	Prec@1 34.375 (34.214)	Prec@5 68.750 (64.527)
Epoch: [18][13340/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.6288 (2.7619)	Prec@1 37.500 (34.214)	Prec@5 67.188 (64.528)
Epoch: [18][13350/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.5986 (2.7619)	Prec@1 45.312 (34.215)	Prec@5 66.406 (64.528)
Epoch: [18][13360/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.7141 (2.7619)	Prec@1 35.938 (34.215)	Prec@5 64.844 (64.529)
Epoch: [18][13370/14090]	Time 0.831 (0.765)	Data 0.001 (0.001)	Loss 2.7441 (2.7619)	Prec@1 29.688 (34.213)	Prec@5 64.844 (64.528)
Epoch: [18][13380/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.9499 (2.7619)	Prec@1 26.562 (34.213)	Prec@5 63.281 (64.528)
Epoch: [18][13390/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.6951 (2.7620)	Prec@1 36.719 (34.211)	Prec@5 64.062 (64.526)
Epoch: [18][13400/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.6537 (2.7620)	Prec@1 32.031 (34.211)	Prec@5 67.969 (64.528)
Epoch: [18][13410/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.8247 (2.7620)	Prec@1 34.375 (34.211)	Prec@5 61.719 (64.526)
Epoch: [18][13420/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.7442 (2.7620)	Prec@1 34.375 (34.210)	Prec@5 67.188 (64.526)
Epoch: [18][13430/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 3.0127 (2.7620)	Prec@1 28.906 (34.210)	Prec@5 58.594 (64.526)
Epoch: [18][13440/14090]	Time 0.875 (0.765)	Data 0.001 (0.001)	Loss 2.7902 (2.7619)	Prec@1 27.344 (34.211)	Prec@5 61.719 (64.528)
Epoch: [18][13450/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.4866 (2.7619)	Prec@1 37.500 (34.211)	Prec@5 70.312 (64.528)
Epoch: [18][13460/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 3.0264 (2.7619)	Prec@1 30.469 (34.211)	Prec@5 60.938 (64.527)
Epoch: [18][13470/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.6416 (2.7619)	Prec@1 34.375 (34.209)	Prec@5 64.062 (64.526)
Epoch: [18][13480/14090]	Time 0.765 (0.764)	Data 0.001 (0.001)	Loss 2.8323 (2.7619)	Prec@1 27.344 (34.209)	Prec@5 58.594 (64.526)
Epoch: [18][13490/14090]	Time 0.727 (0.764)	Data 0.001 (0.001)	Loss 2.6340 (2.7619)	Prec@1 33.594 (34.209)	Prec@5 68.750 (64.526)
Epoch: [18][13500/14090]	Time 0.777 (0.764)	Data 0.001 (0.001)	Loss 2.7116 (2.7619)	Prec@1 34.375 (34.209)	Prec@5 61.719 (64.525)
Epoch: [18][13510/14090]	Time 0.868 (0.764)	Data 0.001 (0.001)	Loss 2.4492 (2.7619)	Prec@1 41.406 (34.209)	Prec@5 71.875 (64.524)
Epoch: [18][13520/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 2.5064 (2.7619)	Prec@1 38.281 (34.210)	Prec@5 69.531 (64.525)
Epoch: [18][13530/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 2.9164 (2.7619)	Prec@1 32.031 (34.210)	Prec@5 58.594 (64.523)
Epoch: [18][13540/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 2.9097 (2.7619)	Prec@1 28.125 (34.210)	Prec@5 64.062 (64.523)
Epoch: [18][13550/14090]	Time 0.739 (0.764)	Data 0.001 (0.001)	Loss 2.5503 (2.7618)	Prec@1 41.406 (34.211)	Prec@5 70.312 (64.525)
Epoch: [18][13560/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 2.7637 (2.7618)	Prec@1 32.031 (34.211)	Prec@5 71.094 (64.525)
Epoch: [18][13570/14090]	Time 0.764 (0.764)	Data 0.001 (0.001)	Loss 2.5754 (2.7618)	Prec@1 37.500 (34.210)	Prec@5 63.281 (64.525)
Epoch: [18][13580/14090]	Time 0.871 (0.764)	Data 0.001 (0.001)	Loss 2.9004 (2.7618)	Prec@1 32.031 (34.210)	Prec@5 63.281 (64.525)
Epoch: [18][13590/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 2.5348 (2.7618)	Prec@1 33.594 (34.208)	Prec@5 68.750 (64.524)
Epoch: [18][13600/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 3.0975 (2.7618)	Prec@1 32.031 (34.208)	Prec@5 60.938 (64.524)
Epoch: [18][13610/14090]	Time 0.748 (0.764)	Data 0.001 (0.001)	Loss 2.6673 (2.7618)	Prec@1 32.812 (34.208)	Prec@5 67.188 (64.525)
Epoch: [18][13620/14090]	Time 0.761 (0.764)	Data 0.001 (0.001)	Loss 2.5717 (2.7618)	Prec@1 35.156 (34.207)	Prec@5 64.844 (64.526)
Epoch: [18][13630/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 2.6118 (2.7618)	Prec@1 35.156 (34.207)	Prec@5 71.094 (64.526)
Epoch: [18][13640/14090]	Time 0.769 (0.764)	Data 0.001 (0.001)	Loss 2.5128 (2.7618)	Prec@1 41.406 (34.207)	Prec@5 69.531 (64.527)
Epoch: [18][13650/14090]	Time 0.871 (0.764)	Data 0.001 (0.001)	Loss 2.8389 (2.7619)	Prec@1 33.594 (34.208)	Prec@5 62.500 (64.525)
Epoch: [18][13660/14090]	Time 0.760 (0.764)	Data 0.001 (0.001)	Loss 2.6629 (2.7618)	Prec@1 34.375 (34.208)	Prec@5 67.188 (64.526)
Epoch: [18][13670/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 2.6431 (2.7618)	Prec@1 35.156 (34.208)	Prec@5 71.875 (64.526)
Epoch: [18][13680/14090]	Time 0.744 (0.764)	Data 0.001 (0.001)	Loss 2.5244 (2.7618)	Prec@1 32.031 (34.209)	Prec@5 67.969 (64.526)
Epoch: [18][13690/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 2.8449 (2.7618)	Prec@1 32.031 (34.209)	Prec@5 60.156 (64.524)
Epoch: [18][13700/14090]	Time 0.740 (0.764)	Data 0.002 (0.001)	Loss 2.7839 (2.7618)	Prec@1 38.281 (34.209)	Prec@5 63.281 (64.525)
Epoch: [18][13710/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 2.5358 (2.7618)	Prec@1 45.312 (34.211)	Prec@5 67.969 (64.526)
Epoch: [18][13720/14090]	Time 0.845 (0.764)	Data 0.001 (0.001)	Loss 2.6100 (2.7618)	Prec@1 40.625 (34.211)	Prec@5 66.406 (64.527)
Epoch: [18][13730/14090]	Time 0.733 (0.764)	Data 0.001 (0.001)	Loss 2.6413 (2.7617)	Prec@1 36.719 (34.213)	Prec@5 68.750 (64.527)
Epoch: [18][13740/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 2.5397 (2.7617)	Prec@1 37.500 (34.214)	Prec@5 64.062 (64.527)
Epoch: [18][13750/14090]	Time 0.774 (0.764)	Data 0.001 (0.001)	Loss 3.0694 (2.7618)	Prec@1 29.688 (34.214)	Prec@5 63.281 (64.526)
Epoch: [18][13760/14090]	Time 0.735 (0.764)	Data 0.001 (0.001)	Loss 3.0934 (2.7618)	Prec@1 28.125 (34.213)	Prec@5 63.281 (64.526)
Epoch: [18][13770/14090]	Time 0.758 (0.764)	Data 0.001 (0.001)	Loss 2.5365 (2.7618)	Prec@1 32.812 (34.215)	Prec@5 68.750 (64.527)
Epoch: [18][13780/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 2.7686 (2.7618)	Prec@1 30.469 (34.215)	Prec@5 64.062 (64.526)
Epoch: [18][13790/14090]	Time 0.871 (0.764)	Data 0.001 (0.001)	Loss 2.8916 (2.7618)	Prec@1 32.812 (34.214)	Prec@5 62.500 (64.525)
Epoch: [18][13800/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.7927 (2.7618)	Prec@1 32.812 (34.213)	Prec@5 59.375 (64.524)
Epoch: [18][13810/14090]	Time 0.735 (0.764)	Data 0.001 (0.001)	Loss 2.7477 (2.7618)	Prec@1 35.156 (34.214)	Prec@5 62.500 (64.524)
Epoch: [18][13820/14090]	Time 0.726 (0.764)	Data 0.001 (0.001)	Loss 2.8545 (2.7618)	Prec@1 29.688 (34.213)	Prec@5 60.938 (64.523)
Epoch: [18][13830/14090]	Time 0.745 (0.764)	Data 0.001 (0.001)	Loss 2.7719 (2.7618)	Prec@1 35.938 (34.214)	Prec@5 63.281 (64.524)
Epoch: [18][13840/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 3.2400 (2.7618)	Prec@1 25.781 (34.213)	Prec@5 59.375 (64.525)
Epoch: [18][13850/14090]	Time 0.734 (0.764)	Data 0.001 (0.001)	Loss 2.8062 (2.7618)	Prec@1 34.375 (34.213)	Prec@5 64.844 (64.524)
Epoch: [18][13860/14090]	Time 0.865 (0.764)	Data 0.001 (0.001)	Loss 2.9134 (2.7618)	Prec@1 35.938 (34.213)	Prec@5 61.719 (64.523)
Epoch: [18][13870/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.4709 (2.7617)	Prec@1 38.281 (34.212)	Prec@5 72.656 (64.524)
Epoch: [18][13880/14090]	Time 0.759 (0.764)	Data 0.001 (0.001)	Loss 2.8874 (2.7618)	Prec@1 33.594 (34.212)	Prec@5 67.188 (64.523)
Epoch: [18][13890/14090]	Time 0.759 (0.764)	Data 0.001 (0.001)	Loss 2.5776 (2.7617)	Prec@1 41.406 (34.213)	Prec@5 68.750 (64.525)
Epoch: [18][13900/14090]	Time 0.781 (0.764)	Data 0.001 (0.001)	Loss 2.7912 (2.7617)	Prec@1 32.031 (34.213)	Prec@5 61.719 (64.526)
Epoch: [18][13910/14090]	Time 0.748 (0.764)	Data 0.001 (0.001)	Loss 2.8498 (2.7617)	Prec@1 31.250 (34.213)	Prec@5 59.375 (64.526)
Epoch: [18][13920/14090]	Time 0.722 (0.764)	Data 0.001 (0.001)	Loss 2.9971 (2.7617)	Prec@1 28.125 (34.213)	Prec@5 57.031 (64.527)
Epoch: [18][13930/14090]	Time 0.876 (0.764)	Data 0.001 (0.001)	Loss 2.8100 (2.7617)	Prec@1 29.688 (34.214)	Prec@5 63.281 (64.527)
Epoch: [18][13940/14090]	Time 0.735 (0.764)	Data 0.001 (0.001)	Loss 2.5952 (2.7616)	Prec@1 35.156 (34.214)	Prec@5 68.750 (64.527)
Epoch: [18][13950/14090]	Time 0.779 (0.764)	Data 0.001 (0.001)	Loss 2.4684 (2.7616)	Prec@1 39.844 (34.215)	Prec@5 71.875 (64.527)
Epoch: [18][13960/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 2.4307 (2.7616)	Prec@1 39.844 (34.217)	Prec@5 72.656 (64.528)
Epoch: [18][13970/14090]	Time 0.732 (0.764)	Data 0.001 (0.001)	Loss 2.7720 (2.7616)	Prec@1 39.844 (34.216)	Prec@5 67.188 (64.529)
Epoch: [18][13980/14090]	Time 0.759 (0.764)	Data 0.001 (0.001)	Loss 2.6084 (2.7617)	Prec@1 35.156 (34.215)	Prec@5 68.750 (64.528)
Epoch: [18][13990/14090]	Time 0.776 (0.764)	Data 0.001 (0.001)	Loss 2.9419 (2.7617)	Prec@1 32.812 (34.214)	Prec@5 59.375 (64.527)
Epoch: [18][14000/14090]	Time 0.859 (0.764)	Data 0.001 (0.001)	Loss 2.8052 (2.7617)	Prec@1 34.375 (34.213)	Prec@5 61.719 (64.525)
Epoch: [18][14010/14090]	Time 0.785 (0.764)	Data 0.001 (0.001)	Loss 2.5436 (2.7618)	Prec@1 37.500 (34.212)	Prec@5 67.969 (64.524)
Epoch: [18][14020/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 2.7496 (2.7618)	Prec@1 35.156 (34.211)	Prec@5 60.938 (64.523)
Epoch: [18][14030/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 3.2095 (2.7618)	Prec@1 27.344 (34.210)	Prec@5 53.125 (64.521)
Epoch: [18][14040/14090]	Time 0.769 (0.764)	Data 0.001 (0.001)	Loss 2.9149 (2.7618)	Prec@1 23.438 (34.208)	Prec@5 64.844 (64.521)
Epoch: [18][14050/14090]	Time 0.734 (0.764)	Data 0.001 (0.001)	Loss 2.9216 (2.7619)	Prec@1 24.219 (34.206)	Prec@5 60.156 (64.520)
Epoch: [18][14060/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.5381 (2.7619)	Prec@1 35.938 (34.206)	Prec@5 67.188 (64.520)
Epoch: [18][14070/14090]	Time 0.856 (0.764)	Data 0.001 (0.001)	Loss 2.8583 (2.7618)	Prec@1 30.469 (34.208)	Prec@5 67.969 (64.522)
Epoch: [18][14080/14090]	Time 0.730 (0.764)	Data 0.000 (0.001)	Loss 2.7018 (2.7618)	Prec@1 40.625 (34.208)	Prec@5 66.406 (64.522)
Test: [0/286]	Time 3.289 (3.289)	Loss 2.0373 (2.0373)	Prec@1 36.719 (36.719)	Prec@5 88.281 (88.281)
Test: [10/286]	Time 0.295 (0.567)	Loss 3.6552 (2.5318)	Prec@1 13.281 (36.861)	Prec@5 57.031 (73.224)
Test: [20/286]	Time 0.230 (0.427)	Loss 2.3955 (2.4390)	Prec@1 39.844 (39.583)	Prec@5 75.781 (74.926)
Test: [30/286]	Time 0.248 (0.390)	Loss 3.5001 (2.4253)	Prec@1 20.312 (41.079)	Prec@5 50.781 (73.337)
Test: [40/286]	Time 0.558 (0.365)	Loss 2.6220 (2.4948)	Prec@1 29.688 (39.005)	Prec@5 71.875 (71.513)
Test: [50/286]	Time 0.238 (0.348)	Loss 1.2927 (2.5107)	Prec@1 75.000 (39.216)	Prec@5 85.156 (70.849)
Test: [60/286]	Time 0.323 (0.339)	Loss 3.2416 (2.5666)	Prec@1 19.531 (38.589)	Prec@5 58.594 (69.198)
Test: [70/286]	Time 0.244 (0.329)	Loss 2.6156 (2.5654)	Prec@1 37.500 (38.523)	Prec@5 71.094 (69.201)
Test: [80/286]	Time 0.396 (0.326)	Loss 2.3050 (2.6077)	Prec@1 41.406 (37.394)	Prec@5 74.219 (68.181)
Test: [90/286]	Time 0.239 (0.321)	Loss 2.7699 (2.6284)	Prec@1 38.281 (36.676)	Prec@5 67.969 (67.909)
Test: [100/286]	Time 0.234 (0.318)	Loss 3.3535 (2.6548)	Prec@1 19.531 (35.860)	Prec@5 53.906 (67.605)
Test: [110/286]	Time 0.234 (0.316)	Loss 2.3290 (2.6596)	Prec@1 42.969 (35.635)	Prec@5 73.438 (67.673)
Test: [120/286]	Time 0.535 (0.316)	Loss 2.5633 (2.6292)	Prec@1 35.156 (36.163)	Prec@5 67.969 (68.505)
Test: [130/286]	Time 0.232 (0.313)	Loss 1.7294 (2.6052)	Prec@1 52.344 (36.480)	Prec@5 83.594 (68.965)
Test: [140/286]	Time 0.238 (0.310)	Loss 4.0535 (2.5809)	Prec@1 18.750 (37.035)	Prec@5 42.188 (69.398)
Test: [150/286]	Time 0.259 (0.309)	Loss 2.6651 (2.5959)	Prec@1 32.031 (36.558)	Prec@5 72.656 (69.200)
Test: [160/286]	Time 0.392 (0.309)	Loss 3.7119 (2.6002)	Prec@1 18.750 (36.656)	Prec@5 45.312 (69.162)
Test: [170/286]	Time 0.256 (0.309)	Loss 2.0225 (2.5863)	Prec@1 50.781 (36.851)	Prec@5 78.906 (69.408)
Test: [180/286]	Time 0.231 (0.307)	Loss 2.8400 (2.5957)	Prec@1 37.500 (36.714)	Prec@5 67.188 (69.233)
Test: [190/286]	Time 0.232 (0.305)	Loss 2.9076 (2.6224)	Prec@1 17.188 (36.203)	Prec@5 73.438 (68.701)
Test: [200/286]	Time 0.420 (0.305)	Loss 1.4629 (2.6013)	Prec@1 71.094 (36.742)	Prec@5 89.844 (69.053)
Test: [210/286]	Time 0.232 (0.307)	Loss 2.3850 (2.6140)	Prec@1 45.312 (36.534)	Prec@5 77.344 (68.872)
Test: [220/286]	Time 0.263 (0.306)	Loss 3.8247 (2.6195)	Prec@1 14.062 (36.549)	Prec@5 37.500 (68.704)
Test: [230/286]	Time 0.230 (0.305)	Loss 2.3878 (2.6163)	Prec@1 50.781 (36.705)	Prec@5 69.531 (68.662)
Test: [240/286]	Time 0.229 (0.304)	Loss 2.3791 (2.6120)	Prec@1 45.312 (36.910)	Prec@5 68.750 (68.747)
Test: [250/286]	Time 0.314 (0.305)	Loss 2.5973 (2.6032)	Prec@1 29.688 (36.983)	Prec@5 66.406 (69.033)
Test: [260/286]	Time 0.267 (0.304)	Loss 1.3312 (2.5869)	Prec@1 70.312 (37.317)	Prec@5 90.625 (69.286)
Test: [270/286]	Time 0.240 (0.304)	Loss 2.5257 (2.5859)	Prec@1 39.062 (37.301)	Prec@5 75.000 (69.341)
Test: [280/286]	Time 0.236 (0.303)	Loss 2.8328 (2.5722)	Prec@1 24.219 (37.645)	Prec@5 74.219 (69.509)
 * Prec@1 37.861 Prec@5 69.613
Epoch: [19][0/14090]	Time 4.770 (4.770)	Data 3.983 (3.983)	Loss 2.7266 (2.7266)	Prec@1 34.375 (34.375)	Prec@5 67.969 (67.969)
Epoch: [19][10/14090]	Time 0.764 (1.118)	Data 0.001 (0.363)	Loss 2.7874 (2.7698)	Prec@1 35.156 (35.298)	Prec@5 56.250 (64.986)
Epoch: [19][20/14090]	Time 0.745 (0.950)	Data 0.001 (0.190)	Loss 2.8917 (2.7792)	Prec@1 28.125 (34.784)	Prec@5 64.062 (64.695)
Epoch: [19][30/14090]	Time 0.757 (0.886)	Data 0.001 (0.129)	Loss 2.8719 (2.7751)	Prec@1 31.250 (34.854)	Prec@5 61.719 (64.567)
Epoch: [19][40/14090]	Time 0.864 (0.856)	Data 0.001 (0.098)	Loss 2.6174 (2.7749)	Prec@1 35.156 (34.375)	Prec@5 64.062 (64.310)
Epoch: [19][50/14090]	Time 0.753 (0.837)	Data 0.001 (0.079)	Loss 2.8525 (2.7710)	Prec@1 26.562 (34.329)	Prec@5 62.500 (64.553)
Epoch: [19][60/14090]	Time 0.735 (0.825)	Data 0.001 (0.066)	Loss 2.9054 (2.7506)	Prec@1 28.125 (34.413)	Prec@5 62.500 (64.895)
Epoch: [19][70/14090]	Time 0.735 (0.818)	Data 0.001 (0.057)	Loss 2.4730 (2.7521)	Prec@1 37.500 (34.342)	Prec@5 67.969 (64.844)
Epoch: [19][80/14090]	Time 0.729 (0.811)	Data 0.001 (0.050)	Loss 2.5624 (2.7467)	Prec@1 37.500 (34.134)	Prec@5 70.312 (65.017)
Epoch: [19][90/14090]	Time 0.754 (0.806)	Data 0.001 (0.045)	Loss 2.8164 (2.7413)	Prec@1 34.375 (34.281)	Prec@5 62.500 (65.153)
Epoch: [19][100/14090]	Time 0.771 (0.802)	Data 0.001 (0.040)	Loss 2.7946 (2.7382)	Prec@1 28.906 (34.321)	Prec@5 66.406 (65.308)
Epoch: [19][110/14090]	Time 0.811 (0.799)	Data 0.001 (0.037)	Loss 2.8512 (2.7344)	Prec@1 30.469 (34.495)	Prec@5 60.938 (65.273)
Epoch: [19][120/14090]	Time 0.762 (0.795)	Data 0.001 (0.034)	Loss 2.8118 (2.7406)	Prec@1 35.156 (34.427)	Prec@5 63.281 (65.154)
Epoch: [19][130/14090]	Time 0.742 (0.792)	Data 0.001 (0.031)	Loss 3.0738 (2.7453)	Prec@1 29.688 (34.250)	Prec@5 61.719 (65.076)
Epoch: [19][140/14090]	Time 0.747 (0.792)	Data 0.001 (0.029)	Loss 2.7273 (2.7418)	Prec@1 35.156 (34.441)	Prec@5 65.625 (65.171)
Epoch: [19][150/14090]	Time 0.733 (0.789)	Data 0.001 (0.027)	Loss 2.8164 (2.7456)	Prec@1 35.938 (34.432)	Prec@5 64.844 (65.092)
Epoch: [19][160/14090]	Time 0.766 (0.788)	Data 0.001 (0.025)	Loss 2.7717 (2.7482)	Prec@1 35.938 (34.501)	Prec@5 64.062 (65.004)
Epoch: [19][170/14090]	Time 0.737 (0.787)	Data 0.001 (0.024)	Loss 2.6848 (2.7492)	Prec@1 40.625 (34.526)	Prec@5 62.500 (64.976)
Epoch: [19][180/14090]	Time 0.837 (0.786)	Data 0.001 (0.023)	Loss 2.8933 (2.7441)	Prec@1 32.031 (34.569)	Prec@5 59.375 (65.094)
Epoch: [19][190/14090]	Time 0.766 (0.784)	Data 0.001 (0.022)	Loss 2.7252 (2.7478)	Prec@1 37.500 (34.543)	Prec@5 59.375 (64.975)
Epoch: [19][200/14090]	Time 0.753 (0.783)	Data 0.001 (0.021)	Loss 2.8392 (2.7518)	Prec@1 32.812 (34.558)	Prec@5 70.312 (64.906)
Epoch: [19][210/14090]	Time 0.727 (0.782)	Data 0.001 (0.020)	Loss 2.6042 (2.7541)	Prec@1 36.719 (34.516)	Prec@5 67.969 (64.877)
Epoch: [19][220/14090]	Time 0.798 (0.782)	Data 0.001 (0.019)	Loss 2.6989 (2.7561)	Prec@1 42.188 (34.492)	Prec@5 62.500 (64.755)
Epoch: [19][230/14090]	Time 0.762 (0.781)	Data 0.001 (0.018)	Loss 2.5920 (2.7563)	Prec@1 34.375 (34.487)	Prec@5 68.750 (64.732)
Epoch: [19][240/14090]	Time 0.757 (0.780)	Data 0.001 (0.017)	Loss 2.7975 (2.7545)	Prec@1 32.812 (34.521)	Prec@5 63.281 (64.789)
Epoch: [19][250/14090]	Time 0.855 (0.780)	Data 0.001 (0.017)	Loss 2.5602 (2.7529)	Prec@1 38.281 (34.599)	Prec@5 71.094 (64.825)
Epoch: [19][260/14090]	Time 0.738 (0.779)	Data 0.001 (0.016)	Loss 2.8459 (2.7520)	Prec@1 32.812 (34.599)	Prec@5 58.594 (64.820)
Epoch: [19][270/14090]	Time 0.757 (0.778)	Data 0.001 (0.015)	Loss 2.8685 (2.7533)	Prec@1 27.344 (34.571)	Prec@5 61.719 (64.740)
Epoch: [19][280/14090]	Time 0.728 (0.778)	Data 0.001 (0.015)	Loss 2.8877 (2.7510)	Prec@1 30.469 (34.625)	Prec@5 63.281 (64.830)
Epoch: [19][290/14090]	Time 0.755 (0.777)	Data 0.001 (0.014)	Loss 2.7355 (2.7517)	Prec@1 33.594 (34.566)	Prec@5 71.094 (64.774)
Epoch: [19][300/14090]	Time 0.761 (0.777)	Data 0.001 (0.014)	Loss 2.5049 (2.7517)	Prec@1 42.969 (34.616)	Prec@5 72.656 (64.784)
Epoch: [19][310/14090]	Time 0.730 (0.776)	Data 0.001 (0.014)	Loss 2.6506 (2.7499)	Prec@1 35.156 (34.654)	Prec@5 64.844 (64.788)
Epoch: [19][320/14090]	Time 0.846 (0.776)	Data 0.001 (0.013)	Loss 2.8088 (2.7502)	Prec@1 32.031 (34.652)	Prec@5 64.062 (64.756)
Epoch: [19][330/14090]	Time 0.735 (0.776)	Data 0.001 (0.013)	Loss 2.8095 (2.7521)	Prec@1 35.938 (34.595)	Prec@5 64.844 (64.712)
Epoch: [19][340/14090]	Time 0.755 (0.775)	Data 0.001 (0.012)	Loss 2.7118 (2.7534)	Prec@1 37.500 (34.581)	Prec@5 64.844 (64.683)
Epoch: [19][350/14090]	Time 0.732 (0.775)	Data 0.001 (0.012)	Loss 2.8134 (2.7541)	Prec@1 35.156 (34.553)	Prec@5 63.281 (64.663)
Epoch: [19][360/14090]	Time 0.757 (0.775)	Data 0.001 (0.012)	Loss 2.7068 (2.7526)	Prec@1 28.125 (34.585)	Prec@5 65.625 (64.740)
Epoch: [19][370/14090]	Time 0.741 (0.775)	Data 0.001 (0.011)	Loss 2.4849 (2.7525)	Prec@1 35.938 (34.632)	Prec@5 68.750 (64.694)
Epoch: [19][380/14090]	Time 0.761 (0.774)	Data 0.001 (0.011)	Loss 2.6562 (2.7510)	Prec@1 39.062 (34.685)	Prec@5 67.969 (64.743)
Epoch: [19][390/14090]	Time 0.834 (0.774)	Data 0.001 (0.011)	Loss 2.8613 (2.7513)	Prec@1 32.031 (34.679)	Prec@5 68.750 (64.754)
Epoch: [19][400/14090]	Time 0.750 (0.774)	Data 0.001 (0.011)	Loss 2.6508 (2.7516)	Prec@1 33.594 (34.683)	Prec@5 71.875 (64.779)
Epoch: [19][410/14090]	Time 0.749 (0.773)	Data 0.001 (0.010)	Loss 3.0027 (2.7533)	Prec@1 33.594 (34.664)	Prec@5 59.375 (64.760)
Epoch: [19][420/14090]	Time 0.762 (0.774)	Data 0.001 (0.010)	Loss 3.1980 (2.7535)	Prec@1 28.906 (34.640)	Prec@5 52.344 (64.771)
Epoch: [19][430/14090]	Time 0.745 (0.773)	Data 0.001 (0.010)	Loss 2.7405 (2.7537)	Prec@1 38.281 (34.641)	Prec@5 64.844 (64.768)
Epoch: [19][440/14090]	Time 0.736 (0.773)	Data 0.001 (0.010)	Loss 2.5621 (2.7511)	Prec@1 36.719 (34.680)	Prec@5 69.531 (64.769)
Epoch: [19][450/14090]	Time 0.738 (0.773)	Data 0.001 (0.010)	Loss 2.9971 (2.7506)	Prec@1 30.469 (34.657)	Prec@5 53.906 (64.757)
Epoch: [19][460/14090]	Time 0.869 (0.773)	Data 0.001 (0.009)	Loss 2.6540 (2.7500)	Prec@1 41.406 (34.650)	Prec@5 67.969 (64.757)
Epoch: [19][470/14090]	Time 0.755 (0.772)	Data 0.001 (0.009)	Loss 2.9778 (2.7510)	Prec@1 30.469 (34.616)	Prec@5 57.812 (64.714)
Epoch: [19][480/14090]	Time 0.751 (0.772)	Data 0.001 (0.009)	Loss 2.5310 (2.7508)	Prec@1 37.500 (34.609)	Prec@5 67.188 (64.709)
Epoch: [19][490/14090]	Time 0.737 (0.772)	Data 0.001 (0.009)	Loss 2.8324 (2.7534)	Prec@1 34.375 (34.566)	Prec@5 68.750 (64.675)
Epoch: [19][500/14090]	Time 0.737 (0.772)	Data 0.001 (0.009)	Loss 2.7986 (2.7533)	Prec@1 33.594 (34.565)	Prec@5 68.750 (64.703)
Epoch: [19][510/14090]	Time 0.734 (0.772)	Data 0.001 (0.009)	Loss 2.5218 (2.7516)	Prec@1 37.500 (34.584)	Prec@5 70.312 (64.735)
Epoch: [19][520/14090]	Time 0.782 (0.772)	Data 0.001 (0.008)	Loss 2.9543 (2.7496)	Prec@1 36.719 (34.642)	Prec@5 62.500 (64.784)
Epoch: [19][530/14090]	Time 0.865 (0.772)	Data 0.001 (0.008)	Loss 2.5610 (2.7494)	Prec@1 38.281 (34.660)	Prec@5 69.531 (64.800)
Epoch: [19][540/14090]	Time 0.755 (0.772)	Data 0.001 (0.008)	Loss 2.6836 (2.7482)	Prec@1 38.281 (34.667)	Prec@5 64.844 (64.816)
Epoch: [19][550/14090]	Time 0.738 (0.771)	Data 0.001 (0.008)	Loss 2.6833 (2.7483)	Prec@1 32.031 (34.646)	Prec@5 71.094 (64.827)
Epoch: [19][560/14090]	Time 0.737 (0.771)	Data 0.001 (0.008)	Loss 2.5072 (2.7481)	Prec@1 39.062 (34.663)	Prec@5 67.188 (64.827)
Epoch: [19][570/14090]	Time 0.742 (0.771)	Data 0.001 (0.008)	Loss 2.7480 (2.7478)	Prec@1 38.281 (34.679)	Prec@5 67.188 (64.834)
Epoch: [19][580/14090]	Time 0.758 (0.771)	Data 0.001 (0.008)	Loss 2.7503 (2.7485)	Prec@1 34.375 (34.641)	Prec@5 63.281 (64.836)
Epoch: [19][590/14090]	Time 0.753 (0.771)	Data 0.001 (0.007)	Loss 2.8692 (2.7484)	Prec@1 33.594 (34.650)	Prec@5 64.844 (64.833)
Epoch: [19][600/14090]	Time 0.855 (0.771)	Data 0.001 (0.007)	Loss 2.4125 (2.7471)	Prec@1 39.844 (34.656)	Prec@5 69.531 (64.841)
Epoch: [19][610/14090]	Time 0.751 (0.771)	Data 0.001 (0.007)	Loss 2.9148 (2.7467)	Prec@1 32.031 (34.652)	Prec@5 60.938 (64.831)
Epoch: [19][620/14090]	Time 0.734 (0.770)	Data 0.001 (0.007)	Loss 2.9171 (2.7464)	Prec@1 34.375 (34.671)	Prec@5 63.281 (64.855)
Epoch: [19][630/14090]	Time 0.735 (0.770)	Data 0.001 (0.007)	Loss 2.8523 (2.7482)	Prec@1 35.156 (34.663)	Prec@5 64.062 (64.815)
Epoch: [19][640/14090]	Time 0.763 (0.770)	Data 0.001 (0.007)	Loss 2.7617 (2.7489)	Prec@1 29.688 (34.663)	Prec@5 66.406 (64.822)
Epoch: [19][650/14090]	Time 0.740 (0.770)	Data 0.001 (0.007)	Loss 2.6693 (2.7483)	Prec@1 32.031 (34.653)	Prec@5 72.656 (64.852)
Epoch: [19][660/14090]	Time 0.746 (0.770)	Data 0.001 (0.007)	Loss 2.4351 (2.7476)	Prec@1 40.625 (34.666)	Prec@5 71.875 (64.865)
Epoch: [19][670/14090]	Time 0.864 (0.770)	Data 0.001 (0.007)	Loss 2.5219 (2.7467)	Prec@1 35.938 (34.663)	Prec@5 68.750 (64.890)
Epoch: [19][680/14090]	Time 0.734 (0.770)	Data 0.001 (0.007)	Loss 2.4982 (2.7461)	Prec@1 39.062 (34.671)	Prec@5 70.312 (64.899)
Epoch: [19][690/14090]	Time 0.728 (0.770)	Data 0.001 (0.007)	Loss 2.5354 (2.7463)	Prec@1 40.625 (34.667)	Prec@5 70.312 (64.908)
Epoch: [19][700/14090]	Time 0.760 (0.770)	Data 0.001 (0.006)	Loss 2.6170 (2.7455)	Prec@1 40.625 (34.689)	Prec@5 66.406 (64.927)
Epoch: [19][710/14090]	Time 0.740 (0.770)	Data 0.001 (0.006)	Loss 2.5434 (2.7455)	Prec@1 38.281 (34.693)	Prec@5 67.188 (64.936)
Epoch: [19][720/14090]	Time 0.764 (0.770)	Data 0.001 (0.006)	Loss 2.8839 (2.7449)	Prec@1 30.469 (34.721)	Prec@5 63.281 (64.946)
Epoch: [19][730/14090]	Time 0.767 (0.769)	Data 0.001 (0.006)	Loss 2.7980 (2.7455)	Prec@1 32.031 (34.728)	Prec@5 61.719 (64.930)
Epoch: [19][740/14090]	Time 0.865 (0.769)	Data 0.001 (0.006)	Loss 2.6746 (2.7457)	Prec@1 28.906 (34.736)	Prec@5 70.312 (64.929)
Epoch: [19][750/14090]	Time 0.782 (0.769)	Data 0.001 (0.006)	Loss 2.8400 (2.7454)	Prec@1 32.812 (34.737)	Prec@5 63.281 (64.946)
Epoch: [19][760/14090]	Time 0.759 (0.769)	Data 0.001 (0.006)	Loss 2.9194 (2.7450)	Prec@1 35.156 (34.749)	Prec@5 62.500 (64.952)
Epoch: [19][770/14090]	Time 0.777 (0.769)	Data 0.001 (0.006)	Loss 2.9618 (2.7451)	Prec@1 27.344 (34.730)	Prec@5 63.281 (64.945)
Epoch: [19][780/14090]	Time 0.738 (0.769)	Data 0.001 (0.006)	Loss 2.7006 (2.7442)	Prec@1 31.250 (34.749)	Prec@5 63.281 (64.976)
Epoch: [19][790/14090]	Time 0.742 (0.769)	Data 0.001 (0.006)	Loss 2.6833 (2.7448)	Prec@1 37.500 (34.745)	Prec@5 64.062 (64.959)
Epoch: [19][800/14090]	Time 0.749 (0.769)	Data 0.001 (0.006)	Loss 3.0670 (2.7460)	Prec@1 29.688 (34.725)	Prec@5 61.719 (64.944)
Epoch: [19][810/14090]	Time 0.844 (0.769)	Data 0.001 (0.006)	Loss 2.7502 (2.7461)	Prec@1 28.906 (34.696)	Prec@5 70.312 (64.933)
Epoch: [19][820/14090]	Time 0.752 (0.769)	Data 0.001 (0.006)	Loss 2.9088 (2.7473)	Prec@1 32.031 (34.680)	Prec@5 60.156 (64.895)
Epoch: [19][830/14090]	Time 0.755 (0.769)	Data 0.001 (0.006)	Loss 2.9131 (2.7479)	Prec@1 32.031 (34.658)	Prec@5 62.500 (64.892)
Epoch: [19][840/14090]	Time 0.780 (0.769)	Data 0.001 (0.005)	Loss 2.8122 (2.7488)	Prec@1 32.031 (34.627)	Prec@5 60.156 (64.861)
Epoch: [19][850/14090]	Time 0.759 (0.769)	Data 0.001 (0.005)	Loss 2.7206 (2.7484)	Prec@1 35.938 (34.628)	Prec@5 64.062 (64.866)
Epoch: [19][860/14090]	Time 0.769 (0.769)	Data 0.001 (0.005)	Loss 2.8252 (2.7491)	Prec@1 38.281 (34.611)	Prec@5 69.531 (64.866)
Epoch: [19][870/14090]	Time 0.739 (0.769)	Data 0.001 (0.005)	Loss 2.7558 (2.7484)	Prec@1 28.906 (34.589)	Prec@5 65.625 (64.884)
Epoch: [19][880/14090]	Time 0.826 (0.769)	Data 0.001 (0.005)	Loss 2.5872 (2.7491)	Prec@1 36.719 (34.569)	Prec@5 65.625 (64.864)
Epoch: [19][890/14090]	Time 0.750 (0.769)	Data 0.001 (0.005)	Loss 2.7031 (2.7490)	Prec@1 38.281 (34.557)	Prec@5 64.062 (64.860)
Epoch: [19][900/14090]	Time 0.761 (0.769)	Data 0.001 (0.005)	Loss 2.9687 (2.7486)	Prec@1 29.688 (34.561)	Prec@5 60.156 (64.887)
Epoch: [19][910/14090]	Time 0.773 (0.769)	Data 0.001 (0.005)	Loss 2.6517 (2.7499)	Prec@1 35.156 (34.529)	Prec@5 64.844 (64.861)
Epoch: [19][920/14090]	Time 0.777 (0.769)	Data 0.001 (0.005)	Loss 2.5521 (2.7502)	Prec@1 38.281 (34.526)	Prec@5 73.438 (64.858)
Epoch: [19][930/14090]	Time 0.735 (0.769)	Data 0.001 (0.005)	Loss 2.5972 (2.7498)	Prec@1 38.281 (34.522)	Prec@5 64.844 (64.875)
Epoch: [19][940/14090]	Time 0.753 (0.768)	Data 0.001 (0.005)	Loss 2.7666 (2.7497)	Prec@1 38.281 (34.513)	Prec@5 64.844 (64.871)
Epoch: [19][950/14090]	Time 0.861 (0.768)	Data 0.001 (0.005)	Loss 2.7104 (2.7500)	Prec@1 35.156 (34.498)	Prec@5 61.719 (64.849)
Epoch: [19][960/14090]	Time 0.752 (0.768)	Data 0.001 (0.005)	Loss 2.6987 (2.7493)	Prec@1 38.281 (34.504)	Prec@5 67.188 (64.866)
Epoch: [19][970/14090]	Time 0.760 (0.768)	Data 0.001 (0.005)	Loss 2.5008 (2.7488)	Prec@1 35.938 (34.511)	Prec@5 70.312 (64.880)
Epoch: [19][980/14090]	Time 0.757 (0.768)	Data 0.001 (0.005)	Loss 2.8273 (2.7498)	Prec@1 32.812 (34.510)	Prec@5 60.938 (64.851)
Epoch: [19][990/14090]	Time 0.723 (0.768)	Data 0.001 (0.005)	Loss 2.9219 (2.7505)	Prec@1 35.156 (34.506)	Prec@5 61.719 (64.838)
Epoch: [19][1000/14090]	Time 0.759 (0.768)	Data 0.001 (0.005)	Loss 2.8541 (2.7508)	Prec@1 40.625 (34.527)	Prec@5 61.719 (64.838)
Epoch: [19][1010/14090]	Time 0.727 (0.768)	Data 0.001 (0.005)	Loss 2.8814 (2.7512)	Prec@1 31.250 (34.508)	Prec@5 64.062 (64.837)
Epoch: [19][1020/14090]	Time 0.912 (0.768)	Data 0.001 (0.005)	Loss 2.5745 (2.7513)	Prec@1 38.281 (34.514)	Prec@5 64.844 (64.824)
Epoch: [19][1030/14090]	Time 0.729 (0.768)	Data 0.001 (0.005)	Loss 2.9454 (2.7518)	Prec@1 28.125 (34.515)	Prec@5 60.938 (64.816)
Epoch: [19][1040/14090]	Time 0.774 (0.768)	Data 0.001 (0.005)	Loss 2.9227 (2.7529)	Prec@1 31.250 (34.490)	Prec@5 61.719 (64.801)
Epoch: [19][1050/14090]	Time 0.745 (0.768)	Data 0.001 (0.005)	Loss 3.0439 (2.7541)	Prec@1 30.469 (34.475)	Prec@5 59.375 (64.783)
Epoch: [19][1060/14090]	Time 0.767 (0.768)	Data 0.001 (0.005)	Loss 2.5599 (2.7539)	Prec@1 40.625 (34.485)	Prec@5 64.844 (64.777)
Epoch: [19][1070/14090]	Time 0.758 (0.768)	Data 0.001 (0.004)	Loss 2.6618 (2.7532)	Prec@1 32.031 (34.490)	Prec@5 67.969 (64.797)
Epoch: [19][1080/14090]	Time 0.746 (0.768)	Data 0.001 (0.004)	Loss 2.6666 (2.7532)	Prec@1 35.938 (34.486)	Prec@5 63.281 (64.786)
Epoch: [19][1090/14090]	Time 0.863 (0.768)	Data 0.001 (0.004)	Loss 2.9216 (2.7542)	Prec@1 32.812 (34.450)	Prec@5 58.594 (64.773)
Epoch: [19][1100/14090]	Time 0.747 (0.768)	Data 0.001 (0.004)	Loss 2.7202 (2.7536)	Prec@1 35.156 (34.464)	Prec@5 61.719 (64.786)
Epoch: [19][1110/14090]	Time 0.738 (0.768)	Data 0.001 (0.004)	Loss 2.5662 (2.7532)	Prec@1 34.375 (34.462)	Prec@5 74.219 (64.788)
Epoch: [19][1120/14090]	Time 0.752 (0.768)	Data 0.001 (0.004)	Loss 2.5078 (2.7532)	Prec@1 42.188 (34.458)	Prec@5 73.438 (64.797)
Epoch: [19][1130/14090]	Time 0.746 (0.768)	Data 0.001 (0.004)	Loss 2.6052 (2.7530)	Prec@1 36.719 (34.453)	Prec@5 67.188 (64.802)
Epoch: [19][1140/14090]	Time 0.756 (0.768)	Data 0.001 (0.004)	Loss 2.7248 (2.7538)	Prec@1 32.031 (34.430)	Prec@5 63.281 (64.787)
Epoch: [19][1150/14090]	Time 0.745 (0.768)	Data 0.001 (0.004)	Loss 2.7838 (2.7543)	Prec@1 29.688 (34.413)	Prec@5 59.375 (64.775)
Epoch: [19][1160/14090]	Time 0.857 (0.768)	Data 0.001 (0.004)	Loss 2.6005 (2.7546)	Prec@1 39.062 (34.414)	Prec@5 67.188 (64.769)
Epoch: [19][1170/14090]	Time 0.737 (0.768)	Data 0.001 (0.004)	Loss 2.8674 (2.7547)	Prec@1 32.812 (34.400)	Prec@5 59.375 (64.758)
Epoch: [19][1180/14090]	Time 0.737 (0.768)	Data 0.001 (0.004)	Loss 2.9356 (2.7547)	Prec@1 34.375 (34.405)	Prec@5 56.250 (64.755)
Epoch: [19][1190/14090]	Time 0.729 (0.768)	Data 0.001 (0.004)	Loss 3.0491 (2.7555)	Prec@1 28.906 (34.381)	Prec@5 62.500 (64.751)
Epoch: [19][1200/14090]	Time 0.732 (0.768)	Data 0.001 (0.004)	Loss 2.6046 (2.7555)	Prec@1 32.812 (34.382)	Prec@5 63.281 (64.746)
Epoch: [19][1210/14090]	Time 0.773 (0.768)	Data 0.001 (0.004)	Loss 2.9142 (2.7558)	Prec@1 34.375 (34.378)	Prec@5 59.375 (64.735)
Epoch: [19][1220/14090]	Time 0.786 (0.768)	Data 0.001 (0.004)	Loss 2.8837 (2.7561)	Prec@1 32.812 (34.377)	Prec@5 57.812 (64.721)
Epoch: [19][1230/14090]	Time 0.841 (0.768)	Data 0.001 (0.004)	Loss 2.5855 (2.7563)	Prec@1 38.281 (34.370)	Prec@5 67.188 (64.712)
Epoch: [19][1240/14090]	Time 0.758 (0.768)	Data 0.001 (0.004)	Loss 2.5311 (2.7554)	Prec@1 34.375 (34.383)	Prec@5 73.438 (64.736)
Epoch: [19][1250/14090]	Time 0.753 (0.768)	Data 0.001 (0.004)	Loss 2.7915 (2.7550)	Prec@1 36.719 (34.409)	Prec@5 65.625 (64.734)
Epoch: [19][1260/14090]	Time 0.758 (0.768)	Data 0.001 (0.004)	Loss 2.6856 (2.7554)	Prec@1 37.500 (34.405)	Prec@5 67.969 (64.723)
Epoch: [19][1270/14090]	Time 0.757 (0.768)	Data 0.001 (0.004)	Loss 2.9871 (2.7553)	Prec@1 33.594 (34.417)	Prec@5 57.031 (64.731)
Epoch: [19][1280/14090]	Time 0.729 (0.768)	Data 0.001 (0.004)	Loss 2.5755 (2.7546)	Prec@1 36.719 (34.431)	Prec@5 68.750 (64.747)
Epoch: [19][1290/14090]	Time 0.756 (0.767)	Data 0.001 (0.004)	Loss 2.7131 (2.7547)	Prec@1 32.031 (34.427)	Prec@5 62.500 (64.736)
Epoch: [19][1300/14090]	Time 0.891 (0.767)	Data 0.001 (0.004)	Loss 2.3791 (2.7546)	Prec@1 41.406 (34.431)	Prec@5 78.125 (64.751)
Epoch: [19][1310/14090]	Time 0.746 (0.767)	Data 0.001 (0.004)	Loss 2.7701 (2.7547)	Prec@1 32.812 (34.430)	Prec@5 65.625 (64.745)
Epoch: [19][1320/14090]	Time 0.737 (0.767)	Data 0.001 (0.004)	Loss 2.7951 (2.7550)	Prec@1 36.719 (34.432)	Prec@5 63.281 (64.739)
Epoch: [19][1330/14090]	Time 0.752 (0.767)	Data 0.001 (0.004)	Loss 2.5418 (2.7554)	Prec@1 39.062 (34.421)	Prec@5 71.875 (64.725)
Epoch: [19][1340/14090]	Time 0.762 (0.767)	Data 0.001 (0.004)	Loss 2.7418 (2.7551)	Prec@1 31.250 (34.427)	Prec@5 67.969 (64.724)
Epoch: [19][1350/14090]	Time 0.737 (0.767)	Data 0.001 (0.004)	Loss 2.8739 (2.7549)	Prec@1 35.938 (34.429)	Prec@5 65.625 (64.723)
Epoch: [19][1360/14090]	Time 0.756 (0.767)	Data 0.001 (0.004)	Loss 2.7012 (2.7549)	Prec@1 40.625 (34.440)	Prec@5 64.844 (64.721)
Epoch: [19][1370/14090]	Time 0.844 (0.767)	Data 0.001 (0.004)	Loss 2.7803 (2.7554)	Prec@1 32.031 (34.436)	Prec@5 62.500 (64.704)
Epoch: [19][1380/14090]	Time 0.733 (0.767)	Data 0.001 (0.004)	Loss 2.6375 (2.7552)	Prec@1 35.938 (34.451)	Prec@5 70.312 (64.713)
Epoch: [19][1390/14090]	Time 0.756 (0.767)	Data 0.001 (0.004)	Loss 2.5853 (2.7546)	Prec@1 32.031 (34.450)	Prec@5 74.219 (64.734)
Epoch: [19][1400/14090]	Time 0.751 (0.767)	Data 0.001 (0.004)	Loss 2.8014 (2.7549)	Prec@1 30.469 (34.430)	Prec@5 66.406 (64.732)
Epoch: [19][1410/14090]	Time 0.729 (0.767)	Data 0.001 (0.004)	Loss 2.8283 (2.7556)	Prec@1 36.719 (34.430)	Prec@5 62.500 (64.720)
Epoch: [19][1420/14090]	Time 0.756 (0.767)	Data 0.001 (0.004)	Loss 3.0247 (2.7556)	Prec@1 36.719 (34.429)	Prec@5 60.938 (64.724)
Epoch: [19][1430/14090]	Time 0.748 (0.767)	Data 0.001 (0.004)	Loss 2.8848 (2.7550)	Prec@1 33.594 (34.434)	Prec@5 59.375 (64.729)
Epoch: [19][1440/14090]	Time 0.835 (0.767)	Data 0.001 (0.004)	Loss 2.7503 (2.7548)	Prec@1 31.250 (34.434)	Prec@5 65.625 (64.734)
Epoch: [19][1450/14090]	Time 0.729 (0.767)	Data 0.001 (0.004)	Loss 2.7021 (2.7542)	Prec@1 32.812 (34.433)	Prec@5 64.062 (64.743)
Epoch: [19][1460/14090]	Time 0.751 (0.767)	Data 0.001 (0.003)	Loss 2.6405 (2.7544)	Prec@1 39.062 (34.431)	Prec@5 65.625 (64.738)
Epoch: [19][1470/14090]	Time 0.760 (0.767)	Data 0.001 (0.003)	Loss 2.6951 (2.7539)	Prec@1 39.062 (34.441)	Prec@5 69.531 (64.739)
Epoch: [19][1480/14090]	Time 0.741 (0.767)	Data 0.001 (0.003)	Loss 2.6866 (2.7538)	Prec@1 35.156 (34.455)	Prec@5 64.844 (64.738)
Epoch: [19][1490/14090]	Time 0.750 (0.767)	Data 0.001 (0.003)	Loss 2.9893 (2.7535)	Prec@1 29.688 (34.459)	Prec@5 61.719 (64.747)
Epoch: [19][1500/14090]	Time 0.762 (0.767)	Data 0.001 (0.003)	Loss 2.7226 (2.7535)	Prec@1 35.156 (34.467)	Prec@5 67.188 (64.749)
Epoch: [19][1510/14090]	Time 0.858 (0.767)	Data 0.001 (0.003)	Loss 2.9293 (2.7534)	Prec@1 28.906 (34.467)	Prec@5 57.031 (64.741)
Epoch: [19][1520/14090]	Time 0.760 (0.767)	Data 0.001 (0.003)	Loss 3.1066 (2.7535)	Prec@1 34.375 (34.471)	Prec@5 62.500 (64.744)
Epoch: [19][1530/14090]	Time 0.749 (0.767)	Data 0.001 (0.003)	Loss 2.5583 (2.7538)	Prec@1 39.062 (34.461)	Prec@5 67.969 (64.729)
Epoch: [19][1540/14090]	Time 0.758 (0.767)	Data 0.001 (0.003)	Loss 2.4699 (2.7545)	Prec@1 42.969 (34.450)	Prec@5 71.094 (64.724)
Epoch: [19][1550/14090]	Time 0.774 (0.767)	Data 0.001 (0.003)	Loss 2.8446 (2.7543)	Prec@1 36.719 (34.453)	Prec@5 63.281 (64.727)
Epoch: [19][1560/14090]	Time 0.731 (0.767)	Data 0.001 (0.003)	Loss 2.8441 (2.7548)	Prec@1 33.594 (34.446)	Prec@5 62.500 (64.716)
Epoch: [19][1570/14090]	Time 0.726 (0.767)	Data 0.001 (0.003)	Loss 2.4089 (2.7550)	Prec@1 45.312 (34.449)	Prec@5 73.438 (64.712)
Epoch: [19][1580/14090]	Time 0.864 (0.767)	Data 0.001 (0.003)	Loss 2.6635 (2.7547)	Prec@1 38.281 (34.463)	Prec@5 67.188 (64.725)
Epoch: [19][1590/14090]	Time 0.750 (0.767)	Data 0.001 (0.003)	Loss 2.7675 (2.7545)	Prec@1 36.719 (34.465)	Prec@5 66.406 (64.731)
Epoch: [19][1600/14090]	Time 0.733 (0.767)	Data 0.001 (0.003)	Loss 2.8265 (2.7549)	Prec@1 30.469 (34.450)	Prec@5 64.062 (64.716)
Epoch: [19][1610/14090]	Time 0.745 (0.767)	Data 0.001 (0.003)	Loss 2.4535 (2.7552)	Prec@1 39.844 (34.435)	Prec@5 74.219 (64.719)
Epoch: [19][1620/14090]	Time 0.780 (0.767)	Data 0.001 (0.003)	Loss 2.5642 (2.7548)	Prec@1 34.375 (34.434)	Prec@5 70.312 (64.737)
Epoch: [19][1630/14090]	Time 0.758 (0.767)	Data 0.001 (0.003)	Loss 2.8321 (2.7552)	Prec@1 29.688 (34.430)	Prec@5 65.625 (64.733)
Epoch: [19][1640/14090]	Time 0.765 (0.767)	Data 0.001 (0.003)	Loss 2.6401 (2.7555)	Prec@1 34.375 (34.430)	Prec@5 66.406 (64.725)
Epoch: [19][1650/14090]	Time 0.843 (0.767)	Data 0.001 (0.003)	Loss 2.8322 (2.7556)	Prec@1 28.125 (34.424)	Prec@5 57.031 (64.719)
Epoch: [19][1660/14090]	Time 0.789 (0.767)	Data 0.001 (0.003)	Loss 2.7691 (2.7557)	Prec@1 36.719 (34.421)	Prec@5 69.531 (64.718)
Epoch: [19][1670/14090]	Time 0.778 (0.767)	Data 0.001 (0.003)	Loss 2.7884 (2.7559)	Prec@1 36.719 (34.413)	Prec@5 68.750 (64.717)
Epoch: [19][1680/14090]	Time 0.727 (0.767)	Data 0.001 (0.003)	Loss 2.9329 (2.7562)	Prec@1 29.688 (34.412)	Prec@5 63.281 (64.712)
Epoch: [19][1690/14090]	Time 0.732 (0.767)	Data 0.001 (0.003)	Loss 2.9121 (2.7568)	Prec@1 33.594 (34.404)	Prec@5 62.500 (64.697)
Epoch: [19][1700/14090]	Time 0.769 (0.767)	Data 0.001 (0.003)	Loss 2.5211 (2.7567)	Prec@1 39.062 (34.409)	Prec@5 67.969 (64.699)
Epoch: [19][1710/14090]	Time 0.777 (0.767)	Data 0.001 (0.003)	Loss 3.0626 (2.7568)	Prec@1 28.906 (34.415)	Prec@5 57.031 (64.694)
Epoch: [19][1720/14090]	Time 0.825 (0.767)	Data 0.001 (0.003)	Loss 2.7070 (2.7565)	Prec@1 32.812 (34.432)	Prec@5 67.969 (64.712)
Epoch: [19][1730/14090]	Time 0.739 (0.767)	Data 0.001 (0.003)	Loss 2.5761 (2.7564)	Prec@1 42.969 (34.434)	Prec@5 67.188 (64.716)
Epoch: [19][1740/14090]	Time 0.766 (0.767)	Data 0.001 (0.003)	Loss 2.8972 (2.7569)	Prec@1 34.375 (34.421)	Prec@5 60.156 (64.706)
Epoch: [19][1750/14090]	Time 0.746 (0.767)	Data 0.001 (0.003)	Loss 2.5867 (2.7571)	Prec@1 38.281 (34.412)	Prec@5 67.188 (64.699)
Epoch: [19][1760/14090]	Time 0.728 (0.767)	Data 0.001 (0.003)	Loss 2.3213 (2.7568)	Prec@1 49.219 (34.424)	Prec@5 73.438 (64.713)
Epoch: [19][1770/14090]	Time 0.755 (0.767)	Data 0.001 (0.003)	Loss 2.8343 (2.7569)	Prec@1 34.375 (34.424)	Prec@5 65.625 (64.708)
Epoch: [19][1780/14090]	Time 0.751 (0.767)	Data 0.001 (0.003)	Loss 2.8039 (2.7571)	Prec@1 31.250 (34.418)	Prec@5 63.281 (64.705)
Epoch: [19][1790/14090]	Time 0.862 (0.767)	Data 0.001 (0.003)	Loss 2.7326 (2.7571)	Prec@1 35.156 (34.421)	Prec@5 67.188 (64.712)
Epoch: [19][1800/14090]	Time 0.762 (0.767)	Data 0.001 (0.003)	Loss 3.0557 (2.7575)	Prec@1 28.906 (34.408)	Prec@5 59.375 (64.706)
Epoch: [19][1810/14090]	Time 0.725 (0.766)	Data 0.001 (0.003)	Loss 2.7363 (2.7580)	Prec@1 32.812 (34.392)	Prec@5 59.375 (64.694)
Epoch: [19][1820/14090]	Time 0.745 (0.766)	Data 0.001 (0.003)	Loss 2.6127 (2.7578)	Prec@1 33.594 (34.388)	Prec@5 69.531 (64.705)
Epoch: [19][1830/14090]	Time 0.780 (0.766)	Data 0.001 (0.003)	Loss 2.8501 (2.7578)	Prec@1 32.812 (34.381)	Prec@5 60.156 (64.694)
Epoch: [19][1840/14090]	Time 0.729 (0.766)	Data 0.001 (0.003)	Loss 2.5997 (2.7570)	Prec@1 31.250 (34.385)	Prec@5 67.188 (64.719)
Epoch: [19][1850/14090]	Time 0.741 (0.766)	Data 0.001 (0.003)	Loss 2.8924 (2.7574)	Prec@1 35.938 (34.377)	Prec@5 66.406 (64.715)
Epoch: [19][1860/14090]	Time 0.819 (0.766)	Data 0.001 (0.003)	Loss 2.5605 (2.7574)	Prec@1 37.500 (34.388)	Prec@5 64.844 (64.712)
Epoch: [19][1870/14090]	Time 0.734 (0.766)	Data 0.001 (0.003)	Loss 2.7675 (2.7570)	Prec@1 35.156 (34.388)	Prec@5 64.062 (64.713)
Epoch: [19][1880/14090]	Time 0.772 (0.766)	Data 0.001 (0.003)	Loss 2.7215 (2.7570)	Prec@1 37.500 (34.392)	Prec@5 66.406 (64.712)
Epoch: [19][1890/14090]	Time 0.729 (0.766)	Data 0.001 (0.003)	Loss 2.7098 (2.7564)	Prec@1 35.156 (34.411)	Prec@5 68.750 (64.727)
Epoch: [19][1900/14090]	Time 0.733 (0.766)	Data 0.001 (0.003)	Loss 2.6588 (2.7565)	Prec@1 36.719 (34.412)	Prec@5 69.531 (64.734)
Epoch: [19][1910/14090]	Time 0.756 (0.766)	Data 0.001 (0.003)	Loss 2.6202 (2.7569)	Prec@1 38.281 (34.405)	Prec@5 69.531 (64.728)
Epoch: [19][1920/14090]	Time 0.774 (0.766)	Data 0.001 (0.003)	Loss 3.0488 (2.7570)	Prec@1 28.125 (34.402)	Prec@5 66.406 (64.727)
Epoch: [19][1930/14090]	Time 0.840 (0.766)	Data 0.001 (0.003)	Loss 2.8018 (2.7565)	Prec@1 42.969 (34.418)	Prec@5 62.500 (64.741)
Epoch: [19][1940/14090]	Time 0.740 (0.766)	Data 0.001 (0.003)	Loss 2.5611 (2.7567)	Prec@1 39.062 (34.414)	Prec@5 68.750 (64.733)
Epoch: [19][1950/14090]	Time 0.735 (0.766)	Data 0.001 (0.003)	Loss 2.7669 (2.7572)	Prec@1 33.594 (34.405)	Prec@5 67.969 (64.723)
Epoch: [19][1960/14090]	Time 0.735 (0.766)	Data 0.001 (0.003)	Loss 2.5854 (2.7570)	Prec@1 39.844 (34.408)	Prec@5 66.406 (64.722)
Epoch: [19][1970/14090]	Time 0.748 (0.766)	Data 0.001 (0.003)	Loss 2.6466 (2.7570)	Prec@1 32.031 (34.402)	Prec@5 67.969 (64.718)
Epoch: [19][1980/14090]	Time 0.750 (0.766)	Data 0.001 (0.003)	Loss 2.9591 (2.7571)	Prec@1 28.906 (34.401)	Prec@5 59.375 (64.710)
Epoch: [19][1990/14090]	Time 0.748 (0.766)	Data 0.001 (0.003)	Loss 2.9756 (2.7568)	Prec@1 29.688 (34.409)	Prec@5 59.375 (64.717)
Epoch: [19][2000/14090]	Time 0.835 (0.766)	Data 0.001 (0.003)	Loss 2.9462 (2.7571)	Prec@1 28.906 (34.408)	Prec@5 54.688 (64.706)
Epoch: [19][2010/14090]	Time 0.749 (0.766)	Data 0.001 (0.003)	Loss 2.9643 (2.7568)	Prec@1 28.906 (34.415)	Prec@5 59.375 (64.709)
Epoch: [19][2020/14090]	Time 0.757 (0.766)	Data 0.001 (0.003)	Loss 2.6662 (2.7569)	Prec@1 35.938 (34.416)	Prec@5 69.531 (64.706)
Epoch: [19][2030/14090]	Time 0.736 (0.766)	Data 0.001 (0.003)	Loss 2.7748 (2.7572)	Prec@1 38.281 (34.422)	Prec@5 61.719 (64.701)
Epoch: [19][2040/14090]	Time 0.779 (0.766)	Data 0.001 (0.003)	Loss 2.8940 (2.7569)	Prec@1 32.031 (34.426)	Prec@5 57.812 (64.704)
Epoch: [19][2050/14090]	Time 0.756 (0.766)	Data 0.001 (0.003)	Loss 2.5603 (2.7571)	Prec@1 35.156 (34.426)	Prec@5 69.531 (64.699)
Epoch: [19][2060/14090]	Time 0.754 (0.766)	Data 0.001 (0.003)	Loss 2.4485 (2.7570)	Prec@1 39.062 (34.429)	Prec@5 74.219 (64.709)
Epoch: [19][2070/14090]	Time 0.841 (0.766)	Data 0.001 (0.003)	Loss 3.0476 (2.7574)	Prec@1 25.000 (34.418)	Prec@5 61.719 (64.705)
Epoch: [19][2080/14090]	Time 0.749 (0.766)	Data 0.001 (0.003)	Loss 2.7147 (2.7571)	Prec@1 33.594 (34.423)	Prec@5 66.406 (64.707)
Epoch: [19][2090/14090]	Time 0.779 (0.766)	Data 0.001 (0.003)	Loss 2.7410 (2.7568)	Prec@1 30.469 (34.427)	Prec@5 67.969 (64.717)
Epoch: [19][2100/14090]	Time 0.780 (0.766)	Data 0.001 (0.003)	Loss 2.6863 (2.7568)	Prec@1 35.938 (34.426)	Prec@5 64.844 (64.713)
Epoch: [19][2110/14090]	Time 0.762 (0.766)	Data 0.001 (0.003)	Loss 2.7622 (2.7572)	Prec@1 32.812 (34.422)	Prec@5 63.281 (64.702)
Epoch: [19][2120/14090]	Time 0.751 (0.766)	Data 0.001 (0.003)	Loss 2.6856 (2.7571)	Prec@1 39.844 (34.423)	Prec@5 66.406 (64.698)
Epoch: [19][2130/14090]	Time 0.727 (0.766)	Data 0.001 (0.003)	Loss 3.0189 (2.7571)	Prec@1 30.469 (34.422)	Prec@5 59.375 (64.699)
Epoch: [19][2140/14090]	Time 0.870 (0.766)	Data 0.001 (0.003)	Loss 2.5933 (2.7572)	Prec@1 33.594 (34.418)	Prec@5 66.406 (64.697)
Epoch: [19][2150/14090]	Time 0.752 (0.766)	Data 0.001 (0.003)	Loss 2.5003 (2.7568)	Prec@1 41.406 (34.421)	Prec@5 68.750 (64.705)
Epoch: [19][2160/14090]	Time 0.758 (0.766)	Data 0.001 (0.003)	Loss 3.0866 (2.7566)	Prec@1 29.688 (34.425)	Prec@5 55.469 (64.710)
Epoch: [19][2170/14090]	Time 0.749 (0.766)	Data 0.001 (0.003)	Loss 2.5445 (2.7567)	Prec@1 35.938 (34.419)	Prec@5 67.188 (64.710)
Epoch: [19][2180/14090]	Time 0.748 (0.766)	Data 0.001 (0.003)	Loss 2.8593 (2.7564)	Prec@1 32.031 (34.417)	Prec@5 63.281 (64.715)
Epoch: [19][2190/14090]	Time 0.757 (0.766)	Data 0.001 (0.003)	Loss 2.8050 (2.7563)	Prec@1 33.594 (34.419)	Prec@5 63.281 (64.721)
Epoch: [19][2200/14090]	Time 0.770 (0.766)	Data 0.001 (0.003)	Loss 2.7541 (2.7565)	Prec@1 37.500 (34.413)	Prec@5 66.406 (64.722)
Epoch: [19][2210/14090]	Time 0.837 (0.766)	Data 0.001 (0.003)	Loss 2.8399 (2.7567)	Prec@1 32.812 (34.406)	Prec@5 66.406 (64.721)
Epoch: [19][2220/14090]	Time 0.779 (0.766)	Data 0.001 (0.003)	Loss 2.5869 (2.7566)	Prec@1 40.625 (34.412)	Prec@5 71.875 (64.727)
Epoch: [19][2230/14090]	Time 0.762 (0.766)	Data 0.001 (0.003)	Loss 2.8982 (2.7568)	Prec@1 35.156 (34.411)	Prec@5 58.594 (64.721)
Epoch: [19][2240/14090]	Time 0.742 (0.766)	Data 0.001 (0.003)	Loss 2.6750 (2.7566)	Prec@1 39.844 (34.418)	Prec@5 61.719 (64.717)
Epoch: [19][2250/14090]	Time 0.739 (0.766)	Data 0.001 (0.003)	Loss 2.7614 (2.7567)	Prec@1 35.156 (34.423)	Prec@5 60.938 (64.722)
Epoch: [19][2260/14090]	Time 0.759 (0.766)	Data 0.001 (0.003)	Loss 2.5233 (2.7569)	Prec@1 36.719 (34.415)	Prec@5 67.969 (64.713)
Epoch: [19][2270/14090]	Time 0.774 (0.766)	Data 0.001 (0.003)	Loss 2.7951 (2.7569)	Prec@1 36.719 (34.422)	Prec@5 65.625 (64.712)
Epoch: [19][2280/14090]	Time 0.851 (0.766)	Data 0.001 (0.003)	Loss 2.7640 (2.7568)	Prec@1 35.156 (34.427)	Prec@5 66.406 (64.714)
Epoch: [19][2290/14090]	Time 0.738 (0.766)	Data 0.001 (0.003)	Loss 2.9907 (2.7567)	Prec@1 29.688 (34.430)	Prec@5 60.156 (64.718)
Epoch: [19][2300/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 2.7404 (2.7570)	Prec@1 34.375 (34.427)	Prec@5 62.500 (64.710)
Epoch: [19][2310/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.9332 (2.7572)	Prec@1 35.156 (34.430)	Prec@5 64.062 (64.703)
Epoch: [19][2320/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 2.7186 (2.7570)	Prec@1 40.625 (34.435)	Prec@5 65.625 (64.708)
Epoch: [19][2330/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.8417 (2.7570)	Prec@1 35.156 (34.440)	Prec@5 65.625 (64.708)
Epoch: [19][2340/14090]	Time 0.764 (0.766)	Data 0.001 (0.002)	Loss 2.8126 (2.7572)	Prec@1 32.812 (34.440)	Prec@5 67.969 (64.709)
Epoch: [19][2350/14090]	Time 0.846 (0.766)	Data 0.001 (0.002)	Loss 2.7134 (2.7572)	Prec@1 32.812 (34.440)	Prec@5 67.969 (64.712)
Epoch: [19][2360/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.5291 (2.7568)	Prec@1 46.094 (34.448)	Prec@5 68.750 (64.715)
Epoch: [19][2370/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 2.8613 (2.7572)	Prec@1 28.906 (34.442)	Prec@5 57.031 (64.709)
Epoch: [19][2380/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 2.5253 (2.7570)	Prec@1 37.500 (34.444)	Prec@5 66.406 (64.713)
Epoch: [19][2390/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 3.0649 (2.7573)	Prec@1 27.344 (34.432)	Prec@5 55.469 (64.703)
Epoch: [19][2400/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 2.6993 (2.7573)	Prec@1 36.719 (34.426)	Prec@5 64.844 (64.707)
Epoch: [19][2410/14090]	Time 0.773 (0.766)	Data 0.001 (0.002)	Loss 2.3691 (2.7573)	Prec@1 40.625 (34.427)	Prec@5 71.094 (64.709)
Epoch: [19][2420/14090]	Time 0.901 (0.766)	Data 0.001 (0.002)	Loss 3.0312 (2.7578)	Prec@1 32.812 (34.418)	Prec@5 60.938 (64.701)
Epoch: [19][2430/14090]	Time 0.727 (0.766)	Data 0.001 (0.002)	Loss 2.7559 (2.7577)	Prec@1 37.500 (34.422)	Prec@5 64.844 (64.699)
Epoch: [19][2440/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.7655 (2.7576)	Prec@1 33.594 (34.423)	Prec@5 64.062 (64.706)
Epoch: [19][2450/14090]	Time 0.776 (0.766)	Data 0.001 (0.002)	Loss 2.4200 (2.7576)	Prec@1 39.062 (34.421)	Prec@5 71.875 (64.705)
Epoch: [19][2460/14090]	Time 0.773 (0.766)	Data 0.001 (0.002)	Loss 2.8894 (2.7576)	Prec@1 27.344 (34.413)	Prec@5 64.062 (64.707)
Epoch: [19][2470/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 2.9295 (2.7577)	Prec@1 28.125 (34.412)	Prec@5 60.156 (64.706)
Epoch: [19][2480/14090]	Time 0.774 (0.766)	Data 0.001 (0.002)	Loss 2.8803 (2.7579)	Prec@1 28.125 (34.405)	Prec@5 66.406 (64.703)
Epoch: [19][2490/14090]	Time 0.853 (0.766)	Data 0.001 (0.002)	Loss 2.6981 (2.7577)	Prec@1 35.938 (34.414)	Prec@5 64.062 (64.702)
Epoch: [19][2500/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 3.2259 (2.7578)	Prec@1 26.562 (34.417)	Prec@5 53.906 (64.699)
Epoch: [19][2510/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.5478 (2.7577)	Prec@1 31.250 (34.418)	Prec@5 65.625 (64.704)
Epoch: [19][2520/14090]	Time 0.728 (0.766)	Data 0.001 (0.002)	Loss 2.7340 (2.7576)	Prec@1 34.375 (34.416)	Prec@5 62.500 (64.706)
Epoch: [19][2530/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 2.5932 (2.7574)	Prec@1 34.375 (34.419)	Prec@5 68.750 (64.713)
Epoch: [19][2540/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 3.0004 (2.7573)	Prec@1 34.375 (34.425)	Prec@5 60.938 (64.719)
Epoch: [19][2550/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 2.7373 (2.7575)	Prec@1 36.719 (34.421)	Prec@5 65.625 (64.715)
Epoch: [19][2560/14090]	Time 0.857 (0.766)	Data 0.001 (0.002)	Loss 2.6729 (2.7574)	Prec@1 35.938 (34.420)	Prec@5 66.406 (64.717)
Epoch: [19][2570/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 2.8230 (2.7570)	Prec@1 35.156 (34.435)	Prec@5 61.719 (64.724)
Epoch: [19][2580/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.7443 (2.7572)	Prec@1 36.719 (34.433)	Prec@5 61.719 (64.724)
Epoch: [19][2590/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.8018 (2.7573)	Prec@1 36.719 (34.435)	Prec@5 67.969 (64.724)
Epoch: [19][2600/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 2.7927 (2.7571)	Prec@1 35.938 (34.447)	Prec@5 63.281 (64.725)
Epoch: [19][2610/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 2.7496 (2.7573)	Prec@1 32.031 (34.444)	Prec@5 65.625 (64.719)
Epoch: [19][2620/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.7061 (2.7574)	Prec@1 34.375 (34.444)	Prec@5 67.188 (64.713)
Epoch: [19][2630/14090]	Time 0.861 (0.766)	Data 0.001 (0.002)	Loss 2.6308 (2.7572)	Prec@1 34.375 (34.450)	Prec@5 66.406 (64.714)
Epoch: [19][2640/14090]	Time 0.775 (0.766)	Data 0.001 (0.002)	Loss 2.7104 (2.7575)	Prec@1 30.469 (34.445)	Prec@5 61.719 (64.711)
Epoch: [19][2650/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 3.1130 (2.7576)	Prec@1 31.250 (34.442)	Prec@5 59.375 (64.710)
Epoch: [19][2660/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 2.6285 (2.7571)	Prec@1 35.156 (34.452)	Prec@5 67.188 (64.720)
Epoch: [19][2670/14090]	Time 0.761 (0.766)	Data 0.001 (0.002)	Loss 3.1629 (2.7572)	Prec@1 28.906 (34.455)	Prec@5 54.688 (64.716)
Epoch: [19][2680/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.6881 (2.7571)	Prec@1 32.812 (34.458)	Prec@5 67.188 (64.711)
Epoch: [19][2690/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 2.7251 (2.7572)	Prec@1 32.031 (34.451)	Prec@5 61.719 (64.710)
Epoch: [19][2700/14090]	Time 0.885 (0.766)	Data 0.001 (0.002)	Loss 2.9566 (2.7574)	Prec@1 30.469 (34.444)	Prec@5 64.062 (64.708)
Epoch: [19][2710/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 2.9565 (2.7576)	Prec@1 31.250 (34.437)	Prec@5 64.062 (64.705)
Epoch: [19][2720/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.5882 (2.7576)	Prec@1 33.594 (34.438)	Prec@5 71.875 (64.703)
Epoch: [19][2730/14090]	Time 0.786 (0.766)	Data 0.001 (0.002)	Loss 2.6362 (2.7580)	Prec@1 41.406 (34.432)	Prec@5 65.625 (64.695)
Epoch: [19][2740/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 2.6810 (2.7575)	Prec@1 28.906 (34.443)	Prec@5 67.188 (64.704)
Epoch: [19][2750/14090]	Time 0.765 (0.766)	Data 0.001 (0.002)	Loss 2.8004 (2.7572)	Prec@1 32.031 (34.443)	Prec@5 63.281 (64.709)
Epoch: [19][2760/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 2.9055 (2.7575)	Prec@1 29.688 (34.438)	Prec@5 61.719 (64.699)
Epoch: [19][2770/14090]	Time 0.840 (0.766)	Data 0.001 (0.002)	Loss 2.6391 (2.7577)	Prec@1 36.719 (34.433)	Prec@5 68.750 (64.698)
Epoch: [19][2780/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 2.7280 (2.7578)	Prec@1 36.719 (34.436)	Prec@5 60.156 (64.694)
Epoch: [19][2790/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 2.8151 (2.7577)	Prec@1 29.688 (34.432)	Prec@5 67.188 (64.691)
Epoch: [19][2800/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 2.6724 (2.7576)	Prec@1 37.500 (34.431)	Prec@5 67.188 (64.688)
Epoch: [19][2810/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 2.8984 (2.7579)	Prec@1 35.938 (34.427)	Prec@5 64.062 (64.687)
Epoch: [19][2820/14090]	Time 0.773 (0.766)	Data 0.001 (0.002)	Loss 3.0975 (2.7577)	Prec@1 27.344 (34.431)	Prec@5 59.375 (64.688)
Epoch: [19][2830/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 3.1544 (2.7576)	Prec@1 28.906 (34.432)	Prec@5 56.250 (64.693)
Epoch: [19][2840/14090]	Time 0.873 (0.766)	Data 0.001 (0.002)	Loss 2.5881 (2.7576)	Prec@1 42.188 (34.441)	Prec@5 68.750 (64.700)
Epoch: [19][2850/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 2.9160 (2.7577)	Prec@1 33.594 (34.433)	Prec@5 61.719 (64.699)
Epoch: [19][2860/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 2.5797 (2.7577)	Prec@1 35.938 (34.433)	Prec@5 66.406 (64.696)
Epoch: [19][2870/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 2.7985 (2.7577)	Prec@1 31.250 (34.436)	Prec@5 67.188 (64.697)
Epoch: [19][2880/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 2.9584 (2.7577)	Prec@1 32.031 (34.443)	Prec@5 62.500 (64.692)
Epoch: [19][2890/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 3.1385 (2.7578)	Prec@1 25.000 (34.440)	Prec@5 57.031 (64.689)
Epoch: [19][2900/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.8229 (2.7577)	Prec@1 33.594 (34.442)	Prec@5 64.844 (64.696)
Epoch: [19][2910/14090]	Time 0.863 (0.766)	Data 0.001 (0.002)	Loss 2.8217 (2.7578)	Prec@1 31.250 (34.443)	Prec@5 66.406 (64.694)
Epoch: [19][2920/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 2.8741 (2.7582)	Prec@1 31.250 (34.431)	Prec@5 65.625 (64.686)
Epoch: [19][2930/14090]	Time 0.771 (0.766)	Data 0.001 (0.002)	Loss 2.5636 (2.7583)	Prec@1 37.500 (34.428)	Prec@5 64.844 (64.681)
Epoch: [19][2940/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 3.0974 (2.7586)	Prec@1 27.344 (34.421)	Prec@5 53.906 (64.677)
Epoch: [19][2950/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.5662 (2.7588)	Prec@1 42.188 (34.422)	Prec@5 65.625 (64.674)
Epoch: [19][2960/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 2.7728 (2.7591)	Prec@1 32.812 (34.420)	Prec@5 60.156 (64.668)
Epoch: [19][2970/14090]	Time 0.765 (0.766)	Data 0.001 (0.002)	Loss 2.5465 (2.7590)	Prec@1 32.812 (34.417)	Prec@5 70.312 (64.670)
Epoch: [19][2980/14090]	Time 0.845 (0.766)	Data 0.001 (0.002)	Loss 3.0887 (2.7590)	Prec@1 24.219 (34.416)	Prec@5 56.250 (64.671)
Epoch: [19][2990/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 2.4903 (2.7590)	Prec@1 38.281 (34.412)	Prec@5 66.406 (64.668)
Epoch: [19][3000/14090]	Time 0.726 (0.766)	Data 0.001 (0.002)	Loss 2.5544 (2.7588)	Prec@1 44.531 (34.414)	Prec@5 71.875 (64.671)
Epoch: [19][3010/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 2.5714 (2.7587)	Prec@1 38.281 (34.420)	Prec@5 67.188 (64.669)
Epoch: [19][3020/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 2.5497 (2.7586)	Prec@1 36.719 (34.421)	Prec@5 67.969 (64.672)
Epoch: [19][3030/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 2.7044 (2.7584)	Prec@1 39.844 (34.425)	Prec@5 67.969 (64.677)
Epoch: [19][3040/14090]	Time 0.775 (0.766)	Data 0.001 (0.002)	Loss 2.5530 (2.7583)	Prec@1 35.938 (34.427)	Prec@5 70.312 (64.679)
Epoch: [19][3050/14090]	Time 0.844 (0.766)	Data 0.001 (0.002)	Loss 2.7876 (2.7586)	Prec@1 35.156 (34.425)	Prec@5 67.188 (64.675)
Epoch: [19][3060/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.8337 (2.7585)	Prec@1 35.156 (34.425)	Prec@5 64.062 (64.674)
Epoch: [19][3070/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 2.9257 (2.7587)	Prec@1 33.594 (34.429)	Prec@5 61.719 (64.667)
Epoch: [19][3080/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 2.7821 (2.7585)	Prec@1 33.594 (34.433)	Prec@5 62.500 (64.672)
Epoch: [19][3090/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 2.9892 (2.7587)	Prec@1 28.125 (34.425)	Prec@5 64.844 (64.671)
Epoch: [19][3100/14090]	Time 0.795 (0.766)	Data 0.001 (0.002)	Loss 2.5774 (2.7587)	Prec@1 35.156 (34.422)	Prec@5 70.312 (64.669)
Epoch: [19][3110/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 3.0641 (2.7590)	Prec@1 30.469 (34.419)	Prec@5 60.938 (64.662)
Epoch: [19][3120/14090]	Time 0.873 (0.766)	Data 0.001 (0.002)	Loss 2.6469 (2.7590)	Prec@1 35.938 (34.419)	Prec@5 69.531 (64.666)
Epoch: [19][3130/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 2.8217 (2.7592)	Prec@1 28.906 (34.410)	Prec@5 60.156 (64.662)
Epoch: [19][3140/14090]	Time 0.773 (0.766)	Data 0.001 (0.002)	Loss 2.6524 (2.7591)	Prec@1 32.812 (34.412)	Prec@5 71.875 (64.667)
Epoch: [19][3150/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.7673 (2.7590)	Prec@1 32.812 (34.416)	Prec@5 66.406 (64.669)
Epoch: [19][3160/14090]	Time 0.770 (0.766)	Data 0.001 (0.002)	Loss 3.2119 (2.7593)	Prec@1 26.562 (34.417)	Prec@5 53.125 (64.662)
Epoch: [19][3170/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 2.7453 (2.7594)	Prec@1 35.156 (34.416)	Prec@5 66.406 (64.656)
Epoch: [19][3180/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 3.0617 (2.7596)	Prec@1 27.344 (34.413)	Prec@5 53.125 (64.651)
Epoch: [19][3190/14090]	Time 0.816 (0.766)	Data 0.001 (0.002)	Loss 2.6063 (2.7594)	Prec@1 36.719 (34.419)	Prec@5 70.312 (64.655)
Epoch: [19][3200/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 3.0114 (2.7596)	Prec@1 27.344 (34.419)	Prec@5 63.281 (64.659)
Epoch: [19][3210/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 2.9353 (2.7597)	Prec@1 26.562 (34.410)	Prec@5 60.156 (64.659)
Epoch: [19][3220/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.5644 (2.7597)	Prec@1 37.500 (34.410)	Prec@5 63.281 (64.655)
Epoch: [19][3230/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 2.4340 (2.7594)	Prec@1 42.188 (34.413)	Prec@5 67.969 (64.663)
Epoch: [19][3240/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 2.8084 (2.7595)	Prec@1 31.250 (34.417)	Prec@5 63.281 (64.661)
Epoch: [19][3250/14090]	Time 0.768 (0.766)	Data 0.001 (0.002)	Loss 2.8508 (2.7596)	Prec@1 28.125 (34.410)	Prec@5 61.719 (64.656)
Epoch: [19][3260/14090]	Time 0.887 (0.766)	Data 0.001 (0.002)	Loss 2.9175 (2.7595)	Prec@1 26.562 (34.410)	Prec@5 67.969 (64.660)
Epoch: [19][3270/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.7898 (2.7598)	Prec@1 30.469 (34.405)	Prec@5 63.281 (64.652)
Epoch: [19][3280/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 2.7203 (2.7597)	Prec@1 32.031 (34.403)	Prec@5 63.281 (64.652)
Epoch: [19][3290/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.6831 (2.7597)	Prec@1 35.156 (34.395)	Prec@5 64.062 (64.651)
Epoch: [19][3300/14090]	Time 0.720 (0.766)	Data 0.001 (0.002)	Loss 2.9326 (2.7596)	Prec@1 34.375 (34.397)	Prec@5 61.719 (64.650)
Epoch: [19][3310/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 2.8385 (2.7598)	Prec@1 33.594 (34.391)	Prec@5 65.625 (64.649)
Epoch: [19][3320/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.6180 (2.7598)	Prec@1 34.375 (34.396)	Prec@5 67.188 (64.648)
Epoch: [19][3330/14090]	Time 0.877 (0.766)	Data 0.001 (0.002)	Loss 2.9409 (2.7598)	Prec@1 33.594 (34.397)	Prec@5 59.375 (64.651)
Epoch: [19][3340/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 2.7814 (2.7599)	Prec@1 30.469 (34.393)	Prec@5 65.625 (64.653)
Epoch: [19][3350/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 2.9654 (2.7596)	Prec@1 28.906 (34.396)	Prec@5 56.250 (64.655)
Epoch: [19][3360/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.8398 (2.7597)	Prec@1 33.594 (34.392)	Prec@5 62.500 (64.654)
Epoch: [19][3370/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 3.0593 (2.7597)	Prec@1 31.250 (34.389)	Prec@5 60.156 (64.654)
Epoch: [19][3380/14090]	Time 0.779 (0.766)	Data 0.001 (0.002)	Loss 2.5063 (2.7599)	Prec@1 39.844 (34.383)	Prec@5 68.750 (64.648)
Epoch: [19][3390/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 3.0420 (2.7601)	Prec@1 30.469 (34.372)	Prec@5 60.938 (64.645)
Epoch: [19][3400/14090]	Time 0.837 (0.766)	Data 0.001 (0.002)	Loss 2.7526 (2.7601)	Prec@1 38.281 (34.372)	Prec@5 63.281 (64.644)
Epoch: [19][3410/14090]	Time 0.725 (0.766)	Data 0.001 (0.002)	Loss 3.2597 (2.7601)	Prec@1 28.906 (34.378)	Prec@5 49.219 (64.639)
Epoch: [19][3420/14090]	Time 0.752 (0.765)	Data 0.001 (0.002)	Loss 2.8742 (2.7602)	Prec@1 32.031 (34.376)	Prec@5 61.719 (64.640)
Epoch: [19][3430/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.6292 (2.7603)	Prec@1 35.156 (34.369)	Prec@5 71.875 (64.643)
Epoch: [19][3440/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.9583 (2.7604)	Prec@1 34.375 (34.370)	Prec@5 62.500 (64.641)
Epoch: [19][3450/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 2.8193 (2.7607)	Prec@1 38.281 (34.367)	Prec@5 64.844 (64.634)
Epoch: [19][3460/14090]	Time 0.732 (0.765)	Data 0.001 (0.002)	Loss 2.9165 (2.7606)	Prec@1 30.469 (34.368)	Prec@5 58.594 (64.631)
Epoch: [19][3470/14090]	Time 0.847 (0.766)	Data 0.001 (0.002)	Loss 2.8107 (2.7606)	Prec@1 30.469 (34.364)	Prec@5 60.938 (64.632)
Epoch: [19][3480/14090]	Time 0.743 (0.765)	Data 0.001 (0.002)	Loss 2.5890 (2.7606)	Prec@1 32.031 (34.362)	Prec@5 69.531 (64.631)
Epoch: [19][3490/14090]	Time 0.737 (0.765)	Data 0.001 (0.002)	Loss 2.8535 (2.7610)	Prec@1 35.156 (34.355)	Prec@5 68.750 (64.626)
Epoch: [19][3500/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.9598 (2.7611)	Prec@1 35.156 (34.358)	Prec@5 64.062 (64.621)
Epoch: [19][3510/14090]	Time 0.734 (0.765)	Data 0.001 (0.002)	Loss 2.9875 (2.7611)	Prec@1 29.688 (34.358)	Prec@5 64.062 (64.620)
Epoch: [19][3520/14090]	Time 0.742 (0.765)	Data 0.001 (0.002)	Loss 2.6874 (2.7611)	Prec@1 34.375 (34.353)	Prec@5 68.750 (64.618)
Epoch: [19][3530/14090]	Time 0.730 (0.765)	Data 0.001 (0.002)	Loss 2.7508 (2.7614)	Prec@1 39.844 (34.346)	Prec@5 64.062 (64.615)
Epoch: [19][3540/14090]	Time 0.840 (0.765)	Data 0.001 (0.002)	Loss 2.4189 (2.7614)	Prec@1 40.625 (34.345)	Prec@5 73.438 (64.614)
Epoch: [19][3550/14090]	Time 0.736 (0.765)	Data 0.001 (0.002)	Loss 2.9028 (2.7612)	Prec@1 29.688 (34.353)	Prec@5 61.719 (64.615)
Epoch: [19][3560/14090]	Time 0.740 (0.765)	Data 0.001 (0.002)	Loss 2.8282 (2.7617)	Prec@1 28.906 (34.346)	Prec@5 63.281 (64.609)
Epoch: [19][3570/14090]	Time 0.730 (0.765)	Data 0.001 (0.002)	Loss 2.7071 (2.7618)	Prec@1 39.062 (34.345)	Prec@5 66.406 (64.606)
Epoch: [19][3580/14090]	Time 0.737 (0.765)	Data 0.001 (0.002)	Loss 2.6969 (2.7616)	Prec@1 34.375 (34.347)	Prec@5 67.188 (64.613)
Epoch: [19][3590/14090]	Time 0.755 (0.765)	Data 0.001 (0.002)	Loss 2.5270 (2.7616)	Prec@1 36.719 (34.346)	Prec@5 69.531 (64.613)
Epoch: [19][3600/14090]	Time 0.769 (0.765)	Data 0.001 (0.002)	Loss 2.5752 (2.7618)	Prec@1 33.594 (34.341)	Prec@5 68.750 (64.610)
Epoch: [19][3610/14090]	Time 0.848 (0.765)	Data 0.001 (0.002)	Loss 2.4712 (2.7617)	Prec@1 46.875 (34.349)	Prec@5 64.844 (64.606)
Epoch: [19][3620/14090]	Time 0.757 (0.765)	Data 0.001 (0.002)	Loss 2.8181 (2.7618)	Prec@1 33.594 (34.348)	Prec@5 60.156 (64.600)
Epoch: [19][3630/14090]	Time 0.758 (0.765)	Data 0.001 (0.002)	Loss 2.9671 (2.7618)	Prec@1 32.812 (34.346)	Prec@5 64.062 (64.600)
Epoch: [19][3640/14090]	Time 0.772 (0.765)	Data 0.001 (0.002)	Loss 2.6534 (2.7616)	Prec@1 35.938 (34.347)	Prec@5 67.188 (64.605)
Epoch: [19][3650/14090]	Time 0.731 (0.765)	Data 0.001 (0.002)	Loss 2.8938 (2.7615)	Prec@1 31.250 (34.350)	Prec@5 60.938 (64.605)
Epoch: [19][3660/14090]	Time 0.728 (0.765)	Data 0.001 (0.002)	Loss 2.7332 (2.7615)	Prec@1 34.375 (34.352)	Prec@5 64.844 (64.606)
Epoch: [19][3670/14090]	Time 0.780 (0.765)	Data 0.001 (0.002)	Loss 2.9147 (2.7614)	Prec@1 34.375 (34.356)	Prec@5 58.594 (64.608)
Epoch: [19][3680/14090]	Time 0.867 (0.765)	Data 0.001 (0.002)	Loss 2.8805 (2.7614)	Prec@1 37.500 (34.357)	Prec@5 64.844 (64.608)
Epoch: [19][3690/14090]	Time 0.772 (0.765)	Data 0.001 (0.002)	Loss 3.0695 (2.7615)	Prec@1 26.562 (34.347)	Prec@5 58.594 (64.607)
Epoch: [19][3700/14090]	Time 0.782 (0.765)	Data 0.001 (0.002)	Loss 2.8196 (2.7612)	Prec@1 32.812 (34.353)	Prec@5 63.281 (64.615)
Epoch: [19][3710/14090]	Time 0.767 (0.765)	Data 0.001 (0.002)	Loss 2.8234 (2.7611)	Prec@1 39.844 (34.358)	Prec@5 60.156 (64.613)
Epoch: [19][3720/14090]	Time 0.745 (0.765)	Data 0.001 (0.002)	Loss 3.0105 (2.7612)	Prec@1 32.812 (34.356)	Prec@5 59.375 (64.610)
Epoch: [19][3730/14090]	Time 0.747 (0.765)	Data 0.001 (0.002)	Loss 3.1007 (2.7614)	Prec@1 28.906 (34.353)	Prec@5 57.031 (64.607)
Epoch: [19][3740/14090]	Time 0.732 (0.765)	Data 0.001 (0.002)	Loss 2.7705 (2.7612)	Prec@1 32.812 (34.360)	Prec@5 64.844 (64.609)
Epoch: [19][3750/14090]	Time 0.859 (0.765)	Data 0.001 (0.002)	Loss 2.9346 (2.7611)	Prec@1 27.344 (34.363)	Prec@5 60.938 (64.613)
Epoch: [19][3760/14090]	Time 0.746 (0.765)	Data 0.001 (0.002)	Loss 2.3016 (2.7610)	Prec@1 42.969 (34.364)	Prec@5 74.219 (64.616)
Epoch: [19][3770/14090]	Time 0.722 (0.765)	Data 0.001 (0.002)	Loss 2.6858 (2.7610)	Prec@1 30.469 (34.362)	Prec@5 67.969 (64.618)
Epoch: [19][3780/14090]	Time 0.735 (0.765)	Data 0.001 (0.002)	Loss 2.6108 (2.7608)	Prec@1 38.281 (34.362)	Prec@5 63.281 (64.621)
Epoch: [19][3790/14090]	Time 0.733 (0.765)	Data 0.001 (0.002)	Loss 2.8429 (2.7609)	Prec@1 34.375 (34.360)	Prec@5 62.500 (64.620)
Epoch: [19][3800/14090]	Time 0.767 (0.765)	Data 0.001 (0.002)	Loss 2.6910 (2.7610)	Prec@1 35.938 (34.359)	Prec@5 64.062 (64.612)
Epoch: [19][3810/14090]	Time 0.755 (0.765)	Data 0.001 (0.002)	Loss 2.7855 (2.7611)	Prec@1 36.719 (34.358)	Prec@5 62.500 (64.610)
Epoch: [19][3820/14090]	Time 0.871 (0.765)	Data 0.001 (0.002)	Loss 2.6538 (2.7609)	Prec@1 38.281 (34.362)	Prec@5 63.281 (64.614)
Epoch: [19][3830/14090]	Time 0.736 (0.765)	Data 0.001 (0.002)	Loss 2.7362 (2.7609)	Prec@1 36.719 (34.365)	Prec@5 66.406 (64.610)
Epoch: [19][3840/14090]	Time 0.755 (0.765)	Data 0.001 (0.002)	Loss 2.7395 (2.7607)	Prec@1 36.719 (34.369)	Prec@5 62.500 (64.612)
Epoch: [19][3850/14090]	Time 0.739 (0.765)	Data 0.001 (0.002)	Loss 2.8268 (2.7607)	Prec@1 28.906 (34.369)	Prec@5 60.938 (64.613)
Epoch: [19][3860/14090]	Time 0.749 (0.765)	Data 0.001 (0.002)	Loss 2.8866 (2.7605)	Prec@1 31.250 (34.372)	Prec@5 62.500 (64.613)
Epoch: [19][3870/14090]	Time 0.760 (0.765)	Data 0.001 (0.002)	Loss 2.8985 (2.7606)	Prec@1 33.594 (34.371)	Prec@5 61.719 (64.609)
Epoch: [19][3880/14090]	Time 0.756 (0.765)	Data 0.001 (0.002)	Loss 2.3983 (2.7607)	Prec@1 39.062 (34.365)	Prec@5 75.000 (64.611)
Epoch: [19][3890/14090]	Time 0.881 (0.765)	Data 0.001 (0.002)	Loss 2.9471 (2.7609)	Prec@1 27.344 (34.365)	Prec@5 60.938 (64.606)
Epoch: [19][3900/14090]	Time 0.742 (0.765)	Data 0.001 (0.002)	Loss 2.9372 (2.7608)	Prec@1 34.375 (34.363)	Prec@5 67.969 (64.610)
Epoch: [19][3910/14090]	Time 0.763 (0.765)	Data 0.001 (0.002)	Loss 2.4080 (2.7607)	Prec@1 41.406 (34.363)	Prec@5 68.750 (64.611)
Epoch: [19][3920/14090]	Time 0.746 (0.765)	Data 0.001 (0.002)	Loss 2.6906 (2.7605)	Prec@1 34.375 (34.365)	Prec@5 64.062 (64.615)
Epoch: [19][3930/14090]	Time 0.735 (0.765)	Data 0.001 (0.002)	Loss 2.6227 (2.7605)	Prec@1 32.812 (34.362)	Prec@5 67.188 (64.613)
Epoch: [19][3940/14090]	Time 0.738 (0.765)	Data 0.001 (0.002)	Loss 2.5614 (2.7601)	Prec@1 42.188 (34.369)	Prec@5 67.969 (64.620)
Epoch: [19][3950/14090]	Time 0.775 (0.765)	Data 0.001 (0.002)	Loss 2.5839 (2.7602)	Prec@1 35.938 (34.361)	Prec@5 65.625 (64.621)
Epoch: [19][3960/14090]	Time 0.852 (0.765)	Data 0.001 (0.002)	Loss 3.2494 (2.7603)	Prec@1 27.344 (34.363)	Prec@5 53.906 (64.622)
Epoch: [19][3970/14090]	Time 0.763 (0.765)	Data 0.001 (0.002)	Loss 2.8291 (2.7606)	Prec@1 33.594 (34.358)	Prec@5 64.062 (64.615)
Epoch: [19][3980/14090]	Time 0.734 (0.765)	Data 0.001 (0.002)	Loss 3.0291 (2.7606)	Prec@1 35.156 (34.359)	Prec@5 58.594 (64.614)
Epoch: [19][3990/14090]	Time 0.760 (0.765)	Data 0.001 (0.002)	Loss 2.7925 (2.7606)	Prec@1 32.812 (34.361)	Prec@5 65.625 (64.613)
Epoch: [19][4000/14090]	Time 0.734 (0.765)	Data 0.001 (0.002)	Loss 2.7812 (2.7605)	Prec@1 31.250 (34.363)	Prec@5 61.719 (64.613)
Epoch: [19][4010/14090]	Time 0.762 (0.765)	Data 0.001 (0.002)	Loss 2.7636 (2.7604)	Prec@1 32.031 (34.363)	Prec@5 67.188 (64.614)
Epoch: [19][4020/14090]	Time 0.758 (0.765)	Data 0.001 (0.002)	Loss 3.0880 (2.7605)	Prec@1 28.906 (34.360)	Prec@5 55.469 (64.615)
Epoch: [19][4030/14090]	Time 0.824 (0.765)	Data 0.001 (0.002)	Loss 2.7407 (2.7603)	Prec@1 33.594 (34.361)	Prec@5 72.656 (64.623)
Epoch: [19][4040/14090]	Time 0.753 (0.765)	Data 0.001 (0.002)	Loss 2.8676 (2.7602)	Prec@1 30.469 (34.367)	Prec@5 66.406 (64.623)
Epoch: [19][4050/14090]	Time 0.748 (0.765)	Data 0.001 (0.002)	Loss 2.6167 (2.7603)	Prec@1 39.062 (34.366)	Prec@5 70.312 (64.621)
Epoch: [19][4060/14090]	Time 0.752 (0.765)	Data 0.001 (0.002)	Loss 2.8376 (2.7601)	Prec@1 35.938 (34.370)	Prec@5 63.281 (64.625)
Epoch: [19][4070/14090]	Time 0.743 (0.765)	Data 0.001 (0.002)	Loss 2.5413 (2.7600)	Prec@1 41.406 (34.370)	Prec@5 67.969 (64.627)
Epoch: [19][4080/14090]	Time 0.757 (0.765)	Data 0.001 (0.002)	Loss 2.6646 (2.7600)	Prec@1 41.406 (34.366)	Prec@5 65.625 (64.626)
Epoch: [19][4090/14090]	Time 0.770 (0.765)	Data 0.001 (0.002)	Loss 2.8296 (2.7602)	Prec@1 27.344 (34.358)	Prec@5 59.375 (64.620)
Epoch: [19][4100/14090]	Time 0.896 (0.765)	Data 0.001 (0.002)	Loss 2.8325 (2.7600)	Prec@1 34.375 (34.364)	Prec@5 61.719 (64.627)
Epoch: [19][4110/14090]	Time 0.776 (0.765)	Data 0.001 (0.002)	Loss 2.7205 (2.7600)	Prec@1 37.500 (34.364)	Prec@5 67.969 (64.627)
Epoch: [19][4120/14090]	Time 0.774 (0.765)	Data 0.001 (0.002)	Loss 2.5415 (2.7598)	Prec@1 35.938 (34.368)	Prec@5 65.625 (64.626)
Epoch: [19][4130/14090]	Time 0.760 (0.765)	Data 0.001 (0.002)	Loss 2.6363 (2.7599)	Prec@1 36.719 (34.367)	Prec@5 69.531 (64.626)
Epoch: [19][4140/14090]	Time 0.753 (0.765)	Data 0.001 (0.002)	Loss 2.8306 (2.7598)	Prec@1 35.938 (34.365)	Prec@5 61.719 (64.623)
Epoch: [19][4150/14090]	Time 0.718 (0.765)	Data 0.001 (0.002)	Loss 2.8450 (2.7599)	Prec@1 35.938 (34.364)	Prec@5 60.938 (64.622)
Epoch: [19][4160/14090]	Time 0.775 (0.765)	Data 0.001 (0.002)	Loss 2.6852 (2.7598)	Prec@1 35.938 (34.369)	Prec@5 60.938 (64.623)
Epoch: [19][4170/14090]	Time 0.845 (0.765)	Data 0.001 (0.002)	Loss 3.0118 (2.7598)	Prec@1 31.250 (34.366)	Prec@5 60.938 (64.622)
Epoch: [19][4180/14090]	Time 0.745 (0.765)	Data 0.001 (0.002)	Loss 2.3533 (2.7598)	Prec@1 34.375 (34.366)	Prec@5 71.094 (64.621)
Epoch: [19][4190/14090]	Time 0.725 (0.765)	Data 0.001 (0.002)	Loss 3.0964 (2.7599)	Prec@1 28.906 (34.368)	Prec@5 58.594 (64.617)
Epoch: [19][4200/14090]	Time 0.741 (0.765)	Data 0.001 (0.002)	Loss 2.5912 (2.7598)	Prec@1 37.500 (34.370)	Prec@5 66.406 (64.615)
Epoch: [19][4210/14090]	Time 0.740 (0.765)	Data 0.001 (0.002)	Loss 2.7438 (2.7599)	Prec@1 38.281 (34.370)	Prec@5 64.062 (64.614)
Epoch: [19][4220/14090]	Time 0.756 (0.765)	Data 0.001 (0.002)	Loss 3.0370 (2.7601)	Prec@1 27.344 (34.365)	Prec@5 58.594 (64.608)
Epoch: [19][4230/14090]	Time 0.734 (0.765)	Data 0.001 (0.002)	Loss 2.9384 (2.7601)	Prec@1 30.469 (34.365)	Prec@5 57.812 (64.605)
Epoch: [19][4240/14090]	Time 0.874 (0.765)	Data 0.001 (0.002)	Loss 2.8367 (2.7603)	Prec@1 29.688 (34.363)	Prec@5 64.844 (64.604)
Epoch: [19][4250/14090]	Time 0.728 (0.765)	Data 0.001 (0.002)	Loss 2.7415 (2.7600)	Prec@1 32.031 (34.368)	Prec@5 63.281 (64.607)
Epoch: [19][4260/14090]	Time 0.736 (0.765)	Data 0.001 (0.002)	Loss 2.6141 (2.7599)	Prec@1 35.156 (34.368)	Prec@5 64.844 (64.607)
Epoch: [19][4270/14090]	Time 0.751 (0.765)	Data 0.001 (0.002)	Loss 3.0624 (2.7600)	Prec@1 30.469 (34.367)	Prec@5 57.812 (64.606)
Epoch: [19][4280/14090]	Time 0.741 (0.765)	Data 0.001 (0.002)	Loss 2.3618 (2.7600)	Prec@1 40.625 (34.371)	Prec@5 67.969 (64.605)
Epoch: [19][4290/14090]	Time 0.723 (0.765)	Data 0.001 (0.002)	Loss 2.5037 (2.7599)	Prec@1 40.625 (34.374)	Prec@5 68.750 (64.610)
Epoch: [19][4300/14090]	Time 0.752 (0.765)	Data 0.001 (0.002)	Loss 2.6563 (2.7598)	Prec@1 36.719 (34.375)	Prec@5 69.531 (64.610)
Epoch: [19][4310/14090]	Time 0.861 (0.765)	Data 0.001 (0.002)	Loss 2.7861 (2.7598)	Prec@1 38.281 (34.374)	Prec@5 64.062 (64.612)
Epoch: [19][4320/14090]	Time 0.753 (0.765)	Data 0.001 (0.002)	Loss 2.8920 (2.7599)	Prec@1 30.469 (34.368)	Prec@5 60.938 (64.606)
Epoch: [19][4330/14090]	Time 0.730 (0.765)	Data 0.001 (0.002)	Loss 2.8891 (2.7600)	Prec@1 34.375 (34.367)	Prec@5 62.500 (64.604)
Epoch: [19][4340/14090]	Time 0.754 (0.765)	Data 0.001 (0.002)	Loss 2.9985 (2.7600)	Prec@1 26.562 (34.364)	Prec@5 61.719 (64.603)
Epoch: [19][4350/14090]	Time 0.719 (0.765)	Data 0.001 (0.002)	Loss 2.7872 (2.7600)	Prec@1 35.938 (34.362)	Prec@5 63.281 (64.605)
Epoch: [19][4360/14090]	Time 0.767 (0.765)	Data 0.001 (0.002)	Loss 2.5489 (2.7599)	Prec@1 36.719 (34.362)	Prec@5 70.312 (64.610)
Epoch: [19][4370/14090]	Time 0.750 (0.765)	Data 0.001 (0.002)	Loss 2.6911 (2.7598)	Prec@1 37.500 (34.364)	Prec@5 64.844 (64.612)
Epoch: [19][4380/14090]	Time 0.835 (0.765)	Data 0.001 (0.002)	Loss 2.8762 (2.7597)	Prec@1 30.469 (34.366)	Prec@5 63.281 (64.614)
Epoch: [19][4390/14090]	Time 0.774 (0.765)	Data 0.001 (0.002)	Loss 2.9855 (2.7599)	Prec@1 31.250 (34.363)	Prec@5 51.562 (64.607)
Epoch: [19][4400/14090]	Time 0.731 (0.765)	Data 0.001 (0.002)	Loss 2.8783 (2.7599)	Prec@1 35.938 (34.364)	Prec@5 60.156 (64.607)
Epoch: [19][4410/14090]	Time 0.754 (0.765)	Data 0.001 (0.002)	Loss 2.8061 (2.7600)	Prec@1 30.469 (34.360)	Prec@5 64.062 (64.606)
Epoch: [19][4420/14090]	Time 0.754 (0.765)	Data 0.001 (0.002)	Loss 2.4696 (2.7600)	Prec@1 33.594 (34.364)	Prec@5 74.219 (64.609)
Epoch: [19][4430/14090]	Time 0.745 (0.765)	Data 0.001 (0.002)	Loss 2.8630 (2.7600)	Prec@1 35.156 (34.364)	Prec@5 64.062 (64.606)
Epoch: [19][4440/14090]	Time 0.741 (0.765)	Data 0.001 (0.002)	Loss 2.5539 (2.7600)	Prec@1 38.281 (34.364)	Prec@5 66.406 (64.606)
Epoch: [19][4450/14090]	Time 0.871 (0.765)	Data 0.001 (0.002)	Loss 2.8537 (2.7599)	Prec@1 30.469 (34.362)	Prec@5 62.500 (64.607)
Epoch: [19][4460/14090]	Time 0.747 (0.765)	Data 0.001 (0.002)	Loss 2.6487 (2.7600)	Prec@1 37.500 (34.363)	Prec@5 66.406 (64.609)
Epoch: [19][4470/14090]	Time 0.732 (0.765)	Data 0.001 (0.002)	Loss 2.5497 (2.7600)	Prec@1 36.719 (34.360)	Prec@5 67.969 (64.608)
Epoch: [19][4480/14090]	Time 0.777 (0.765)	Data 0.001 (0.002)	Loss 2.9953 (2.7601)	Prec@1 32.812 (34.357)	Prec@5 52.344 (64.605)
Epoch: [19][4490/14090]	Time 0.751 (0.765)	Data 0.001 (0.002)	Loss 2.8449 (2.7602)	Prec@1 36.719 (34.358)	Prec@5 64.844 (64.606)
Epoch: [19][4500/14090]	Time 0.759 (0.765)	Data 0.001 (0.002)	Loss 2.9809 (2.7602)	Prec@1 32.031 (34.355)	Prec@5 64.062 (64.605)
Epoch: [19][4510/14090]	Time 0.771 (0.765)	Data 0.001 (0.002)	Loss 2.7300 (2.7603)	Prec@1 32.812 (34.354)	Prec@5 65.625 (64.604)
Epoch: [19][4520/14090]	Time 0.835 (0.765)	Data 0.001 (0.002)	Loss 2.5091 (2.7601)	Prec@1 38.281 (34.355)	Prec@5 67.969 (64.608)
Epoch: [19][4530/14090]	Time 0.774 (0.765)	Data 0.001 (0.002)	Loss 3.1286 (2.7603)	Prec@1 32.031 (34.350)	Prec@5 58.594 (64.603)
Epoch: [19][4540/14090]	Time 0.734 (0.765)	Data 0.001 (0.002)	Loss 2.6796 (2.7602)	Prec@1 38.281 (34.350)	Prec@5 71.094 (64.603)
Epoch: [19][4550/14090]	Time 0.753 (0.765)	Data 0.001 (0.002)	Loss 2.6710 (2.7602)	Prec@1 35.156 (34.348)	Prec@5 65.625 (64.604)
Epoch: [19][4560/14090]	Time 0.774 (0.765)	Data 0.001 (0.002)	Loss 2.4689 (2.7602)	Prec@1 39.844 (34.347)	Prec@5 70.312 (64.602)
Epoch: [19][4570/14090]	Time 0.732 (0.765)	Data 0.001 (0.002)	Loss 3.0476 (2.7604)	Prec@1 29.688 (34.344)	Prec@5 60.156 (64.598)
Epoch: [19][4580/14090]	Time 0.740 (0.765)	Data 0.001 (0.002)	Loss 2.6691 (2.7603)	Prec@1 32.031 (34.346)	Prec@5 66.406 (64.599)
Epoch: [19][4590/14090]	Time 0.872 (0.765)	Data 0.001 (0.002)	Loss 2.4431 (2.7601)	Prec@1 41.406 (34.349)	Prec@5 71.094 (64.603)
Epoch: [19][4600/14090]	Time 0.726 (0.765)	Data 0.001 (0.002)	Loss 2.7013 (2.7601)	Prec@1 36.719 (34.345)	Prec@5 65.625 (64.600)
Epoch: [19][4610/14090]	Time 0.745 (0.765)	Data 0.001 (0.002)	Loss 2.7621 (2.7602)	Prec@1 34.375 (34.339)	Prec@5 66.406 (64.595)
Epoch: [19][4620/14090]	Time 0.737 (0.765)	Data 0.001 (0.002)	Loss 2.7824 (2.7602)	Prec@1 33.594 (34.339)	Prec@5 58.594 (64.590)
Epoch: [19][4630/14090]	Time 0.750 (0.765)	Data 0.001 (0.002)	Loss 2.8584 (2.7602)	Prec@1 29.688 (34.339)	Prec@5 57.812 (64.589)
Epoch: [19][4640/14090]	Time 0.764 (0.765)	Data 0.001 (0.002)	Loss 2.7224 (2.7603)	Prec@1 31.250 (34.338)	Prec@5 63.281 (64.587)
Epoch: [19][4650/14090]	Time 0.776 (0.765)	Data 0.001 (0.002)	Loss 2.8076 (2.7602)	Prec@1 33.594 (34.336)	Prec@5 58.594 (64.589)
Epoch: [19][4660/14090]	Time 0.892 (0.765)	Data 0.001 (0.002)	Loss 2.6768 (2.7602)	Prec@1 35.156 (34.335)	Prec@5 67.969 (64.591)
Epoch: [19][4670/14090]	Time 0.741 (0.765)	Data 0.001 (0.002)	Loss 2.9410 (2.7604)	Prec@1 32.812 (34.330)	Prec@5 65.625 (64.587)
Epoch: [19][4680/14090]	Time 0.754 (0.765)	Data 0.001 (0.002)	Loss 2.9683 (2.7605)	Prec@1 33.594 (34.329)	Prec@5 65.625 (64.587)
Epoch: [19][4690/14090]	Time 0.739 (0.765)	Data 0.001 (0.002)	Loss 2.7027 (2.7603)	Prec@1 43.750 (34.334)	Prec@5 60.938 (64.590)
Epoch: [19][4700/14090]	Time 0.749 (0.765)	Data 0.001 (0.002)	Loss 2.7807 (2.7603)	Prec@1 33.594 (34.332)	Prec@5 65.625 (64.593)
Epoch: [19][4710/14090]	Time 0.752 (0.765)	Data 0.001 (0.002)	Loss 2.6896 (2.7602)	Prec@1 30.469 (34.333)	Prec@5 64.062 (64.595)
Epoch: [19][4720/14090]	Time 0.750 (0.765)	Data 0.001 (0.002)	Loss 2.6425 (2.7602)	Prec@1 32.031 (34.331)	Prec@5 63.281 (64.595)
Epoch: [19][4730/14090]	Time 0.873 (0.765)	Data 0.001 (0.002)	Loss 2.6951 (2.7600)	Prec@1 35.156 (34.337)	Prec@5 66.406 (64.599)
Epoch: [19][4740/14090]	Time 0.762 (0.765)	Data 0.001 (0.002)	Loss 2.9556 (2.7601)	Prec@1 27.344 (34.331)	Prec@5 57.812 (64.600)
Epoch: [19][4750/14090]	Time 0.741 (0.765)	Data 0.001 (0.002)	Loss 2.7039 (2.7600)	Prec@1 40.625 (34.338)	Prec@5 60.938 (64.601)
Epoch: [19][4760/14090]	Time 0.755 (0.765)	Data 0.001 (0.002)	Loss 2.7204 (2.7601)	Prec@1 39.844 (34.335)	Prec@5 70.312 (64.604)
Epoch: [19][4770/14090]	Time 0.745 (0.765)	Data 0.001 (0.002)	Loss 2.4628 (2.7600)	Prec@1 41.406 (34.337)	Prec@5 72.656 (64.605)
Epoch: [19][4780/14090]	Time 0.721 (0.765)	Data 0.001 (0.002)	Loss 2.6675 (2.7600)	Prec@1 34.375 (34.338)	Prec@5 64.844 (64.606)
Epoch: [19][4790/14090]	Time 0.725 (0.765)	Data 0.001 (0.002)	Loss 2.3823 (2.7599)	Prec@1 44.531 (34.338)	Prec@5 72.656 (64.608)
Epoch: [19][4800/14090]	Time 0.852 (0.765)	Data 0.001 (0.002)	Loss 2.5068 (2.7598)	Prec@1 32.812 (34.336)	Prec@5 67.188 (64.610)
Epoch: [19][4810/14090]	Time 0.737 (0.765)	Data 0.001 (0.002)	Loss 2.7940 (2.7596)	Prec@1 30.469 (34.338)	Prec@5 64.062 (64.613)
Epoch: [19][4820/14090]	Time 0.742 (0.765)	Data 0.001 (0.002)	Loss 2.4039 (2.7596)	Prec@1 35.938 (34.340)	Prec@5 71.875 (64.616)
Epoch: [19][4830/14090]	Time 0.741 (0.765)	Data 0.001 (0.002)	Loss 2.6393 (2.7595)	Prec@1 39.844 (34.341)	Prec@5 67.188 (64.619)
Epoch: [19][4840/14090]	Time 0.729 (0.765)	Data 0.001 (0.002)	Loss 2.7734 (2.7595)	Prec@1 28.125 (34.340)	Prec@5 69.531 (64.620)
Epoch: [19][4850/14090]	Time 0.764 (0.765)	Data 0.001 (0.002)	Loss 2.8247 (2.7594)	Prec@1 33.594 (34.342)	Prec@5 62.500 (64.622)
Epoch: [19][4860/14090]	Time 0.754 (0.765)	Data 0.001 (0.002)	Loss 3.1086 (2.7594)	Prec@1 24.219 (34.341)	Prec@5 59.375 (64.620)
Epoch: [19][4870/14090]	Time 0.851 (0.765)	Data 0.001 (0.002)	Loss 2.7504 (2.7594)	Prec@1 35.156 (34.343)	Prec@5 65.625 (64.623)
Epoch: [19][4880/14090]	Time 0.751 (0.765)	Data 0.001 (0.002)	Loss 2.9307 (2.7595)	Prec@1 28.125 (34.339)	Prec@5 65.625 (64.624)
Epoch: [19][4890/14090]	Time 0.735 (0.765)	Data 0.001 (0.002)	Loss 2.5823 (2.7595)	Prec@1 37.500 (34.339)	Prec@5 63.281 (64.624)
Epoch: [19][4900/14090]	Time 0.746 (0.765)	Data 0.001 (0.002)	Loss 2.7392 (2.7595)	Prec@1 33.594 (34.340)	Prec@5 67.188 (64.623)
Epoch: [19][4910/14090]	Time 0.761 (0.765)	Data 0.001 (0.002)	Loss 2.9741 (2.7595)	Prec@1 32.812 (34.338)	Prec@5 60.156 (64.625)
Epoch: [19][4920/14090]	Time 0.756 (0.765)	Data 0.001 (0.002)	Loss 2.8049 (2.7596)	Prec@1 32.812 (34.336)	Prec@5 61.719 (64.622)
Epoch: [19][4930/14090]	Time 0.754 (0.765)	Data 0.001 (0.002)	Loss 2.6231 (2.7595)	Prec@1 37.500 (34.339)	Prec@5 70.312 (64.625)
Epoch: [19][4940/14090]	Time 0.891 (0.765)	Data 0.001 (0.002)	Loss 2.7556 (2.7597)	Prec@1 33.594 (34.335)	Prec@5 60.156 (64.621)
Epoch: [19][4950/14090]	Time 0.751 (0.765)	Data 0.001 (0.002)	Loss 2.9395 (2.7597)	Prec@1 33.594 (34.332)	Prec@5 62.500 (64.619)
Epoch: [19][4960/14090]	Time 0.746 (0.765)	Data 0.001 (0.002)	Loss 2.4790 (2.7598)	Prec@1 42.188 (34.330)	Prec@5 68.750 (64.621)
Epoch: [19][4970/14090]	Time 0.736 (0.765)	Data 0.001 (0.002)	Loss 2.5140 (2.7597)	Prec@1 41.406 (34.333)	Prec@5 70.312 (64.626)
Epoch: [19][4980/14090]	Time 0.748 (0.765)	Data 0.001 (0.002)	Loss 2.4924 (2.7595)	Prec@1 32.812 (34.339)	Prec@5 69.531 (64.627)
Epoch: [19][4990/14090]	Time 0.742 (0.765)	Data 0.001 (0.002)	Loss 2.8874 (2.7596)	Prec@1 32.812 (34.337)	Prec@5 61.719 (64.624)
Epoch: [19][5000/14090]	Time 0.743 (0.765)	Data 0.001 (0.002)	Loss 2.7858 (2.7596)	Prec@1 32.812 (34.333)	Prec@5 70.312 (64.622)
Epoch: [19][5010/14090]	Time 0.830 (0.765)	Data 0.001 (0.002)	Loss 2.8089 (2.7595)	Prec@1 32.031 (34.336)	Prec@5 59.375 (64.623)
Epoch: [19][5020/14090]	Time 0.751 (0.765)	Data 0.001 (0.002)	Loss 2.7572 (2.7596)	Prec@1 35.156 (34.336)	Prec@5 64.844 (64.622)
Epoch: [19][5030/14090]	Time 0.763 (0.765)	Data 0.001 (0.002)	Loss 3.0645 (2.7597)	Prec@1 28.906 (34.331)	Prec@5 60.938 (64.618)
Epoch: [19][5040/14090]	Time 0.734 (0.765)	Data 0.001 (0.002)	Loss 2.7987 (2.7598)	Prec@1 33.594 (34.329)	Prec@5 68.750 (64.617)
Epoch: [19][5050/14090]	Time 0.759 (0.765)	Data 0.001 (0.002)	Loss 2.7301 (2.7598)	Prec@1 36.719 (34.328)	Prec@5 67.188 (64.619)
Epoch: [19][5060/14090]	Time 0.754 (0.765)	Data 0.001 (0.002)	Loss 2.6519 (2.7599)	Prec@1 32.031 (34.325)	Prec@5 71.875 (64.616)
Epoch: [19][5070/14090]	Time 0.758 (0.765)	Data 0.001 (0.002)	Loss 2.8850 (2.7597)	Prec@1 33.594 (34.332)	Prec@5 64.844 (64.618)
Epoch: [19][5080/14090]	Time 0.851 (0.765)	Data 0.001 (0.002)	Loss 2.7981 (2.7597)	Prec@1 35.156 (34.336)	Prec@5 60.938 (64.618)
Epoch: [19][5090/14090]	Time 0.782 (0.765)	Data 0.001 (0.002)	Loss 2.7173 (2.7597)	Prec@1 31.250 (34.337)	Prec@5 67.188 (64.619)
Epoch: [19][5100/14090]	Time 0.732 (0.765)	Data 0.001 (0.002)	Loss 2.9423 (2.7598)	Prec@1 27.344 (34.338)	Prec@5 60.938 (64.618)
Epoch: [19][5110/14090]	Time 0.757 (0.765)	Data 0.001 (0.002)	Loss 2.6970 (2.7598)	Prec@1 40.625 (34.341)	Prec@5 66.406 (64.619)
Epoch: [19][5120/14090]	Time 0.751 (0.765)	Data 0.001 (0.002)	Loss 2.6348 (2.7597)	Prec@1 34.375 (34.341)	Prec@5 65.625 (64.620)
Epoch: [19][5130/14090]	Time 0.735 (0.765)	Data 0.001 (0.002)	Loss 2.7502 (2.7599)	Prec@1 34.375 (34.339)	Prec@5 65.625 (64.616)
Epoch: [19][5140/14090]	Time 0.754 (0.765)	Data 0.001 (0.002)	Loss 2.6545 (2.7597)	Prec@1 31.250 (34.340)	Prec@5 68.750 (64.621)
Epoch: [19][5150/14090]	Time 0.859 (0.765)	Data 0.001 (0.002)	Loss 2.7865 (2.7597)	Prec@1 27.344 (34.338)	Prec@5 67.969 (64.620)
Epoch: [19][5160/14090]	Time 0.753 (0.765)	Data 0.001 (0.002)	Loss 2.7017 (2.7598)	Prec@1 37.500 (34.334)	Prec@5 64.062 (64.618)
Epoch: [19][5170/14090]	Time 0.753 (0.765)	Data 0.001 (0.002)	Loss 2.4382 (2.7598)	Prec@1 42.188 (34.334)	Prec@5 70.312 (64.619)
Epoch: [19][5180/14090]	Time 0.739 (0.765)	Data 0.001 (0.002)	Loss 2.5602 (2.7596)	Prec@1 38.281 (34.335)	Prec@5 66.406 (64.622)
Epoch: [19][5190/14090]	Time 0.780 (0.765)	Data 0.001 (0.002)	Loss 2.7156 (2.7596)	Prec@1 32.812 (34.334)	Prec@5 60.156 (64.623)
Epoch: [19][5200/14090]	Time 0.737 (0.765)	Data 0.001 (0.002)	Loss 3.0453 (2.7596)	Prec@1 33.594 (34.335)	Prec@5 58.594 (64.623)
Epoch: [19][5210/14090]	Time 0.724 (0.765)	Data 0.001 (0.002)	Loss 2.9116 (2.7595)	Prec@1 32.031 (34.338)	Prec@5 64.844 (64.625)
Epoch: [19][5220/14090]	Time 0.840 (0.765)	Data 0.001 (0.002)	Loss 2.7626 (2.7594)	Prec@1 35.938 (34.341)	Prec@5 63.281 (64.628)
Epoch: [19][5230/14090]	Time 0.740 (0.765)	Data 0.001 (0.002)	Loss 2.3254 (2.7594)	Prec@1 38.281 (34.338)	Prec@5 71.094 (64.627)
Epoch: [19][5240/14090]	Time 0.741 (0.765)	Data 0.001 (0.002)	Loss 2.6774 (2.7592)	Prec@1 35.938 (34.338)	Prec@5 67.188 (64.631)
Epoch: [19][5250/14090]	Time 0.754 (0.765)	Data 0.001 (0.002)	Loss 3.0283 (2.7593)	Prec@1 33.594 (34.336)	Prec@5 60.938 (64.628)
Epoch: [19][5260/14090]	Time 0.754 (0.765)	Data 0.001 (0.002)	Loss 2.6953 (2.7593)	Prec@1 31.250 (34.335)	Prec@5 66.406 (64.630)
Epoch: [19][5270/14090]	Time 0.750 (0.765)	Data 0.001 (0.002)	Loss 2.8434 (2.7593)	Prec@1 37.500 (34.336)	Prec@5 60.156 (64.626)
Epoch: [19][5280/14090]	Time 0.744 (0.765)	Data 0.001 (0.002)	Loss 2.7707 (2.7594)	Prec@1 36.719 (34.335)	Prec@5 64.844 (64.625)
Epoch: [19][5290/14090]	Time 0.832 (0.765)	Data 0.001 (0.002)	Loss 2.9944 (2.7593)	Prec@1 32.812 (34.336)	Prec@5 59.375 (64.625)
Epoch: [19][5300/14090]	Time 0.735 (0.765)	Data 0.001 (0.002)	Loss 2.6381 (2.7594)	Prec@1 35.938 (34.335)	Prec@5 67.188 (64.624)
Epoch: [19][5310/14090]	Time 0.730 (0.765)	Data 0.001 (0.002)	Loss 2.6297 (2.7592)	Prec@1 35.938 (34.339)	Prec@5 67.969 (64.629)
Epoch: [19][5320/14090]	Time 0.762 (0.765)	Data 0.001 (0.002)	Loss 2.9176 (2.7592)	Prec@1 32.812 (34.340)	Prec@5 60.156 (64.630)
Epoch: [19][5330/14090]	Time 0.777 (0.765)	Data 0.001 (0.002)	Loss 2.8582 (2.7592)	Prec@1 32.031 (34.340)	Prec@5 59.375 (64.627)
Epoch: [19][5340/14090]	Time 0.751 (0.765)	Data 0.001 (0.002)	Loss 2.7786 (2.7592)	Prec@1 33.594 (34.339)	Prec@5 65.625 (64.624)
Epoch: [19][5350/14090]	Time 0.727 (0.765)	Data 0.001 (0.002)	Loss 2.8540 (2.7592)	Prec@1 34.375 (34.338)	Prec@5 60.156 (64.624)
Epoch: [19][5360/14090]	Time 0.856 (0.765)	Data 0.001 (0.002)	Loss 2.6127 (2.7594)	Prec@1 39.062 (34.336)	Prec@5 65.625 (64.620)
Epoch: [19][5370/14090]	Time 0.735 (0.765)	Data 0.001 (0.002)	Loss 2.9373 (2.7593)	Prec@1 28.125 (34.339)	Prec@5 62.500 (64.624)
Epoch: [19][5380/14090]	Time 0.751 (0.765)	Data 0.001 (0.002)	Loss 2.7871 (2.7592)	Prec@1 35.938 (34.343)	Prec@5 57.031 (64.628)
Epoch: [19][5390/14090]	Time 0.773 (0.765)	Data 0.001 (0.002)	Loss 2.6152 (2.7592)	Prec@1 34.375 (34.344)	Prec@5 67.188 (64.628)
Epoch: [19][5400/14090]	Time 0.727 (0.765)	Data 0.001 (0.002)	Loss 3.0356 (2.7592)	Prec@1 29.688 (34.343)	Prec@5 57.812 (64.628)
Epoch: [19][5410/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.5938 (2.7592)	Prec@1 34.375 (34.340)	Prec@5 66.406 (64.627)
Epoch: [19][5420/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.6846 (2.7592)	Prec@1 32.812 (34.339)	Prec@5 67.188 (64.630)
Epoch: [19][5430/14090]	Time 0.873 (0.765)	Data 0.001 (0.001)	Loss 2.6516 (2.7591)	Prec@1 37.500 (34.341)	Prec@5 67.969 (64.629)
Epoch: [19][5440/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 3.0847 (2.7591)	Prec@1 26.562 (34.339)	Prec@5 57.031 (64.627)
Epoch: [19][5450/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.6060 (2.7590)	Prec@1 42.969 (34.340)	Prec@5 69.531 (64.629)
Epoch: [19][5460/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.7339 (2.7590)	Prec@1 36.719 (34.339)	Prec@5 65.625 (64.630)
Epoch: [19][5470/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.5690 (2.7589)	Prec@1 34.375 (34.339)	Prec@5 70.312 (64.631)
Epoch: [19][5480/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.6264 (2.7590)	Prec@1 42.188 (34.341)	Prec@5 71.875 (64.629)
Epoch: [19][5490/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.8495 (2.7590)	Prec@1 28.125 (34.338)	Prec@5 66.406 (64.627)
Epoch: [19][5500/14090]	Time 0.855 (0.765)	Data 0.001 (0.001)	Loss 2.9372 (2.7592)	Prec@1 31.250 (34.336)	Prec@5 61.719 (64.624)
Epoch: [19][5510/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.7553 (2.7593)	Prec@1 34.375 (34.335)	Prec@5 64.062 (64.620)
Epoch: [19][5520/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.8550 (2.7593)	Prec@1 32.031 (34.334)	Prec@5 66.406 (64.619)
Epoch: [19][5530/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.7830 (2.7594)	Prec@1 37.500 (34.333)	Prec@5 63.281 (64.619)
Epoch: [19][5540/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.7245 (2.7594)	Prec@1 35.938 (34.333)	Prec@5 64.844 (64.617)
Epoch: [19][5550/14090]	Time 0.773 (0.765)	Data 0.001 (0.001)	Loss 3.0375 (2.7596)	Prec@1 32.812 (34.331)	Prec@5 57.812 (64.613)
Epoch: [19][5560/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.8115 (2.7596)	Prec@1 32.031 (34.329)	Prec@5 64.844 (64.612)
Epoch: [19][5570/14090]	Time 0.848 (0.765)	Data 0.001 (0.001)	Loss 2.6858 (2.7595)	Prec@1 35.938 (34.328)	Prec@5 71.094 (64.615)
Epoch: [19][5580/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.5666 (2.7594)	Prec@1 38.281 (34.330)	Prec@5 68.750 (64.618)
Epoch: [19][5590/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.6106 (2.7593)	Prec@1 38.281 (34.331)	Prec@5 64.844 (64.617)
Epoch: [19][5600/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.8409 (2.7595)	Prec@1 35.938 (34.329)	Prec@5 60.156 (64.611)
Epoch: [19][5610/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.7602 (2.7595)	Prec@1 32.812 (34.325)	Prec@5 64.844 (64.611)
Epoch: [19][5620/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.5891 (2.7596)	Prec@1 35.938 (34.323)	Prec@5 67.188 (64.610)
Epoch: [19][5630/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.7667 (2.7596)	Prec@1 31.250 (34.323)	Prec@5 63.281 (64.610)
Epoch: [19][5640/14090]	Time 0.830 (0.765)	Data 0.001 (0.001)	Loss 2.7945 (2.7596)	Prec@1 29.688 (34.323)	Prec@5 65.625 (64.609)
Epoch: [19][5650/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.9955 (2.7597)	Prec@1 30.469 (34.322)	Prec@5 62.500 (64.608)
Epoch: [19][5660/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.7289 (2.7599)	Prec@1 38.281 (34.317)	Prec@5 60.156 (64.602)
Epoch: [19][5670/14090]	Time 0.768 (0.765)	Data 0.001 (0.001)	Loss 2.9101 (2.7598)	Prec@1 31.250 (34.318)	Prec@5 57.812 (64.601)
Epoch: [19][5680/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.8033 (2.7599)	Prec@1 34.375 (34.314)	Prec@5 62.500 (64.600)
Epoch: [19][5690/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.8697 (2.7599)	Prec@1 33.594 (34.315)	Prec@5 62.500 (64.601)
Epoch: [19][5700/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 3.0144 (2.7599)	Prec@1 39.062 (34.318)	Prec@5 58.594 (64.599)
Epoch: [19][5710/14090]	Time 0.862 (0.765)	Data 0.001 (0.001)	Loss 2.7844 (2.7598)	Prec@1 35.156 (34.319)	Prec@5 64.844 (64.601)
Epoch: [19][5720/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.7760 (2.7597)	Prec@1 35.156 (34.324)	Prec@5 66.406 (64.606)
Epoch: [19][5730/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.7813 (2.7597)	Prec@1 29.688 (34.324)	Prec@5 67.188 (64.608)
Epoch: [19][5740/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.9334 (2.7599)	Prec@1 31.250 (34.321)	Prec@5 66.406 (64.603)
Epoch: [19][5750/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.7255 (2.7599)	Prec@1 35.938 (34.324)	Prec@5 63.281 (64.602)
Epoch: [19][5760/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.6257 (2.7598)	Prec@1 40.625 (34.330)	Prec@5 64.844 (64.604)
Epoch: [19][5770/14090]	Time 0.773 (0.765)	Data 0.001 (0.001)	Loss 2.9394 (2.7599)	Prec@1 34.375 (34.328)	Prec@5 60.156 (64.600)
Epoch: [19][5780/14090]	Time 0.899 (0.765)	Data 0.001 (0.001)	Loss 2.9428 (2.7599)	Prec@1 27.344 (34.326)	Prec@5 60.156 (64.597)
Epoch: [19][5790/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.9442 (2.7601)	Prec@1 25.781 (34.321)	Prec@5 57.812 (64.592)
Epoch: [19][5800/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.6792 (2.7601)	Prec@1 37.500 (34.321)	Prec@5 64.844 (64.594)
Epoch: [19][5810/14090]	Time 0.767 (0.765)	Data 0.001 (0.001)	Loss 2.5951 (2.7601)	Prec@1 39.844 (34.322)	Prec@5 66.406 (64.593)
Epoch: [19][5820/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.7533 (2.7601)	Prec@1 30.469 (34.325)	Prec@5 67.188 (64.596)
Epoch: [19][5830/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.8193 (2.7601)	Prec@1 33.594 (34.323)	Prec@5 66.406 (64.595)
Epoch: [19][5840/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.8118 (2.7601)	Prec@1 29.688 (34.322)	Prec@5 65.625 (64.595)
Epoch: [19][5850/14090]	Time 0.852 (0.765)	Data 0.001 (0.001)	Loss 2.6675 (2.7601)	Prec@1 35.156 (34.321)	Prec@5 64.062 (64.594)
Epoch: [19][5860/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.5573 (2.7602)	Prec@1 40.625 (34.321)	Prec@5 67.969 (64.593)
Epoch: [19][5870/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 3.0430 (2.7602)	Prec@1 30.469 (34.321)	Prec@5 57.812 (64.591)
Epoch: [19][5880/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.8202 (2.7601)	Prec@1 36.719 (34.326)	Prec@5 64.062 (64.593)
Epoch: [19][5890/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.7786 (2.7601)	Prec@1 37.500 (34.326)	Prec@5 66.406 (64.593)
Epoch: [19][5900/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.8449 (2.7601)	Prec@1 32.812 (34.327)	Prec@5 65.625 (64.592)
Epoch: [19][5910/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.6172 (2.7602)	Prec@1 36.719 (34.326)	Prec@5 63.281 (64.591)
Epoch: [19][5920/14090]	Time 0.849 (0.765)	Data 0.001 (0.001)	Loss 2.8875 (2.7602)	Prec@1 30.469 (34.325)	Prec@5 60.156 (64.588)
Epoch: [19][5930/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.7612 (2.7601)	Prec@1 30.469 (34.323)	Prec@5 65.625 (64.592)
Epoch: [19][5940/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.6976 (2.7602)	Prec@1 35.938 (34.321)	Prec@5 67.969 (64.589)
Epoch: [19][5950/14090]	Time 0.780 (0.765)	Data 0.001 (0.001)	Loss 3.1760 (2.7603)	Prec@1 28.125 (34.318)	Prec@5 63.281 (64.587)
Epoch: [19][5960/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.8303 (2.7604)	Prec@1 35.156 (34.316)	Prec@5 64.844 (64.585)
Epoch: [19][5970/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.7461 (2.7604)	Prec@1 28.906 (34.316)	Prec@5 69.531 (64.586)
Epoch: [19][5980/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.8309 (2.7605)	Prec@1 32.812 (34.315)	Prec@5 60.938 (64.585)
Epoch: [19][5990/14090]	Time 0.865 (0.765)	Data 0.001 (0.001)	Loss 2.7209 (2.7605)	Prec@1 34.375 (34.314)	Prec@5 67.969 (64.585)
Epoch: [19][6000/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 3.1332 (2.7607)	Prec@1 30.469 (34.311)	Prec@5 56.250 (64.583)
Epoch: [19][6010/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.6329 (2.7607)	Prec@1 40.625 (34.311)	Prec@5 70.312 (64.580)
Epoch: [19][6020/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.8945 (2.7609)	Prec@1 28.906 (34.308)	Prec@5 62.500 (64.579)
Epoch: [19][6030/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 3.0020 (2.7609)	Prec@1 30.469 (34.307)	Prec@5 53.125 (64.576)
Epoch: [19][6040/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.6525 (2.7607)	Prec@1 32.812 (34.312)	Prec@5 64.062 (64.580)
Epoch: [19][6050/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.7903 (2.7608)	Prec@1 38.281 (34.312)	Prec@5 59.375 (64.575)
Epoch: [19][6060/14090]	Time 0.854 (0.765)	Data 0.001 (0.001)	Loss 2.4351 (2.7608)	Prec@1 37.500 (34.310)	Prec@5 71.875 (64.577)
Epoch: [19][6070/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.8262 (2.7607)	Prec@1 36.719 (34.312)	Prec@5 65.625 (64.581)
Epoch: [19][6080/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.5877 (2.7607)	Prec@1 39.844 (34.313)	Prec@5 71.094 (64.581)
Epoch: [19][6090/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.7538 (2.7607)	Prec@1 30.469 (34.312)	Prec@5 67.969 (64.581)
Epoch: [19][6100/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 2.6306 (2.7606)	Prec@1 37.500 (34.315)	Prec@5 62.500 (64.584)
Epoch: [19][6110/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.6904 (2.7605)	Prec@1 33.594 (34.314)	Prec@5 67.188 (64.583)
Epoch: [19][6120/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.5805 (2.7604)	Prec@1 36.719 (34.317)	Prec@5 73.438 (64.586)
Epoch: [19][6130/14090]	Time 0.840 (0.765)	Data 0.001 (0.001)	Loss 2.6750 (2.7603)	Prec@1 38.281 (34.319)	Prec@5 64.062 (64.586)
Epoch: [19][6140/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.9654 (2.7604)	Prec@1 32.031 (34.319)	Prec@5 61.719 (64.585)
Epoch: [19][6150/14090]	Time 0.766 (0.765)	Data 0.001 (0.001)	Loss 2.6697 (2.7603)	Prec@1 34.375 (34.322)	Prec@5 66.406 (64.586)
Epoch: [19][6160/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.4215 (2.7602)	Prec@1 44.531 (34.325)	Prec@5 68.750 (64.588)
Epoch: [19][6170/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.9577 (2.7602)	Prec@1 27.344 (34.325)	Prec@5 59.375 (64.588)
Epoch: [19][6180/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.5440 (2.7602)	Prec@1 35.156 (34.326)	Prec@5 68.750 (64.588)
Epoch: [19][6190/14090]	Time 0.721 (0.765)	Data 0.001 (0.001)	Loss 2.8546 (2.7602)	Prec@1 31.250 (34.325)	Prec@5 67.969 (64.586)
Epoch: [19][6200/14090]	Time 0.824 (0.765)	Data 0.001 (0.001)	Loss 2.6905 (2.7602)	Prec@1 35.156 (34.325)	Prec@5 69.531 (64.587)
Epoch: [19][6210/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.7942 (2.7603)	Prec@1 35.156 (34.324)	Prec@5 60.156 (64.589)
Epoch: [19][6220/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 3.1082 (2.7603)	Prec@1 32.031 (34.324)	Prec@5 56.250 (64.585)
Epoch: [19][6230/14090]	Time 0.775 (0.765)	Data 0.001 (0.001)	Loss 2.7999 (2.7603)	Prec@1 36.719 (34.326)	Prec@5 64.062 (64.587)
Epoch: [19][6240/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.8927 (2.7603)	Prec@1 30.469 (34.324)	Prec@5 64.844 (64.584)
Epoch: [19][6250/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.9621 (2.7603)	Prec@1 30.469 (34.327)	Prec@5 59.375 (64.585)
Epoch: [19][6260/14090]	Time 0.766 (0.765)	Data 0.001 (0.001)	Loss 2.6992 (2.7603)	Prec@1 37.500 (34.325)	Prec@5 64.062 (64.582)
Epoch: [19][6270/14090]	Time 0.847 (0.765)	Data 0.001 (0.001)	Loss 2.6553 (2.7604)	Prec@1 32.812 (34.323)	Prec@5 68.750 (64.581)
Epoch: [19][6280/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.6144 (2.7604)	Prec@1 42.188 (34.322)	Prec@5 70.312 (64.581)
Epoch: [19][6290/14090]	Time 0.720 (0.765)	Data 0.001 (0.001)	Loss 2.8835 (2.7605)	Prec@1 32.031 (34.320)	Prec@5 64.844 (64.579)
Epoch: [19][6300/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.8143 (2.7606)	Prec@1 38.281 (34.319)	Prec@5 61.719 (64.575)
Epoch: [19][6310/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.7932 (2.7605)	Prec@1 33.594 (34.321)	Prec@5 62.500 (64.578)
Epoch: [19][6320/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 2.7348 (2.7605)	Prec@1 34.375 (34.320)	Prec@5 64.844 (64.577)
Epoch: [19][6330/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.4848 (2.7604)	Prec@1 40.625 (34.324)	Prec@5 67.969 (64.579)
Epoch: [19][6340/14090]	Time 0.864 (0.765)	Data 0.001 (0.001)	Loss 2.6327 (2.7603)	Prec@1 40.625 (34.327)	Prec@5 67.969 (64.580)
Epoch: [19][6350/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.5502 (2.7604)	Prec@1 34.375 (34.324)	Prec@5 70.312 (64.581)
Epoch: [19][6360/14090]	Time 0.767 (0.765)	Data 0.001 (0.001)	Loss 2.5858 (2.7605)	Prec@1 39.062 (34.324)	Prec@5 65.625 (64.579)
Epoch: [19][6370/14090]	Time 0.746 (0.765)	Data 0.002 (0.001)	Loss 2.6321 (2.7605)	Prec@1 35.156 (34.322)	Prec@5 65.625 (64.577)
Epoch: [19][6380/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.7234 (2.7605)	Prec@1 36.719 (34.323)	Prec@5 63.281 (64.576)
Epoch: [19][6390/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.8923 (2.7606)	Prec@1 28.906 (34.320)	Prec@5 58.594 (64.572)
Epoch: [19][6400/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.6251 (2.7605)	Prec@1 36.719 (34.321)	Prec@5 69.531 (64.572)
Epoch: [19][6410/14090]	Time 0.846 (0.765)	Data 0.001 (0.001)	Loss 2.9048 (2.7606)	Prec@1 27.344 (34.317)	Prec@5 63.281 (64.570)
Epoch: [19][6420/14090]	Time 0.721 (0.765)	Data 0.001 (0.001)	Loss 2.8971 (2.7606)	Prec@1 29.688 (34.316)	Prec@5 56.250 (64.569)
Epoch: [19][6430/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.6254 (2.7607)	Prec@1 35.938 (34.313)	Prec@5 65.625 (64.569)
Epoch: [19][6440/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.9037 (2.7607)	Prec@1 32.031 (34.314)	Prec@5 62.500 (64.566)
Epoch: [19][6450/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.8649 (2.7606)	Prec@1 31.250 (34.316)	Prec@5 63.281 (64.567)
Epoch: [19][6460/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.7992 (2.7604)	Prec@1 33.594 (34.318)	Prec@5 62.500 (64.570)
Epoch: [19][6470/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.8139 (2.7604)	Prec@1 33.594 (34.317)	Prec@5 60.156 (64.569)
Epoch: [19][6480/14090]	Time 0.844 (0.765)	Data 0.001 (0.001)	Loss 3.0536 (2.7604)	Prec@1 25.781 (34.322)	Prec@5 60.938 (64.571)
Epoch: [19][6490/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.5342 (2.7606)	Prec@1 38.281 (34.317)	Prec@5 74.219 (64.570)
Epoch: [19][6500/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.7325 (2.7605)	Prec@1 35.156 (34.319)	Prec@5 66.406 (64.572)
Epoch: [19][6510/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.5080 (2.7604)	Prec@1 40.625 (34.319)	Prec@5 69.531 (64.574)
Epoch: [19][6520/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.9529 (2.7605)	Prec@1 29.688 (34.317)	Prec@5 62.500 (64.574)
Epoch: [19][6530/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.9145 (2.7604)	Prec@1 32.031 (34.317)	Prec@5 60.156 (64.575)
Epoch: [19][6540/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.5939 (2.7604)	Prec@1 37.500 (34.320)	Prec@5 72.656 (64.579)
Epoch: [19][6550/14090]	Time 0.848 (0.765)	Data 0.001 (0.001)	Loss 2.6344 (2.7603)	Prec@1 39.844 (34.320)	Prec@5 65.625 (64.581)
Epoch: [19][6560/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.5694 (2.7603)	Prec@1 34.375 (34.321)	Prec@5 69.531 (64.581)
Epoch: [19][6570/14090]	Time 0.782 (0.765)	Data 0.001 (0.001)	Loss 2.8557 (2.7603)	Prec@1 30.469 (34.319)	Prec@5 60.938 (64.582)
Epoch: [19][6580/14090]	Time 0.767 (0.765)	Data 0.001 (0.001)	Loss 2.6272 (2.7603)	Prec@1 33.594 (34.320)	Prec@5 72.656 (64.584)
Epoch: [19][6590/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.8495 (2.7604)	Prec@1 31.250 (34.317)	Prec@5 60.938 (64.582)
Epoch: [19][6600/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.7745 (2.7604)	Prec@1 35.156 (34.317)	Prec@5 57.031 (64.582)
Epoch: [19][6610/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.7073 (2.7604)	Prec@1 32.812 (34.318)	Prec@5 64.062 (64.580)
Epoch: [19][6620/14090]	Time 0.860 (0.765)	Data 0.001 (0.001)	Loss 2.6436 (2.7603)	Prec@1 33.594 (34.319)	Prec@5 66.406 (64.581)
Epoch: [19][6630/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.9014 (2.7604)	Prec@1 30.469 (34.318)	Prec@5 61.719 (64.581)
Epoch: [19][6640/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.8399 (2.7604)	Prec@1 31.250 (34.318)	Prec@5 60.156 (64.579)
Epoch: [19][6650/14090]	Time 0.720 (0.765)	Data 0.001 (0.001)	Loss 2.5670 (2.7603)	Prec@1 33.594 (34.319)	Prec@5 68.750 (64.581)
Epoch: [19][6660/14090]	Time 0.785 (0.765)	Data 0.001 (0.001)	Loss 2.8715 (2.7603)	Prec@1 37.500 (34.323)	Prec@5 65.625 (64.582)
Epoch: [19][6670/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.8393 (2.7602)	Prec@1 33.594 (34.323)	Prec@5 62.500 (64.582)
Epoch: [19][6680/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 2.7338 (2.7602)	Prec@1 33.594 (34.324)	Prec@5 63.281 (64.583)
Epoch: [19][6690/14090]	Time 0.854 (0.765)	Data 0.001 (0.001)	Loss 2.7567 (2.7602)	Prec@1 33.594 (34.325)	Prec@5 64.844 (64.583)
Epoch: [19][6700/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.6199 (2.7602)	Prec@1 32.031 (34.325)	Prec@5 69.531 (64.583)
Epoch: [19][6710/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 2.4823 (2.7601)	Prec@1 36.719 (34.328)	Prec@5 71.094 (64.582)
Epoch: [19][6720/14090]	Time 0.774 (0.765)	Data 0.001 (0.001)	Loss 2.9319 (2.7601)	Prec@1 31.250 (34.329)	Prec@5 60.156 (64.583)
Epoch: [19][6730/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.6856 (2.7602)	Prec@1 35.938 (34.326)	Prec@5 64.844 (64.579)
Epoch: [19][6740/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.8229 (2.7602)	Prec@1 30.469 (34.326)	Prec@5 62.500 (64.577)
Epoch: [19][6750/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.8581 (2.7602)	Prec@1 32.812 (34.327)	Prec@5 64.844 (64.575)
Epoch: [19][6760/14090]	Time 0.867 (0.765)	Data 0.001 (0.001)	Loss 2.9289 (2.7603)	Prec@1 28.906 (34.322)	Prec@5 60.156 (64.575)
Epoch: [19][6770/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.8371 (2.7604)	Prec@1 34.375 (34.322)	Prec@5 64.844 (64.576)
Epoch: [19][6780/14090]	Time 0.766 (0.765)	Data 0.001 (0.001)	Loss 2.7798 (2.7605)	Prec@1 33.594 (34.322)	Prec@5 63.281 (64.574)
Epoch: [19][6790/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.6761 (2.7603)	Prec@1 28.125 (34.323)	Prec@5 70.312 (64.579)
Epoch: [19][6800/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.9954 (2.7603)	Prec@1 33.594 (34.325)	Prec@5 60.156 (64.581)
Epoch: [19][6810/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.6910 (2.7603)	Prec@1 39.062 (34.325)	Prec@5 65.625 (64.581)
Epoch: [19][6820/14090]	Time 0.788 (0.765)	Data 0.001 (0.001)	Loss 2.4755 (2.7602)	Prec@1 39.062 (34.325)	Prec@5 73.438 (64.583)
Epoch: [19][6830/14090]	Time 0.839 (0.765)	Data 0.001 (0.001)	Loss 2.9009 (2.7602)	Prec@1 32.031 (34.324)	Prec@5 61.719 (64.581)
Epoch: [19][6840/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.9321 (2.7603)	Prec@1 36.719 (34.322)	Prec@5 58.594 (64.577)
Epoch: [19][6850/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.8770 (2.7605)	Prec@1 32.812 (34.318)	Prec@5 66.406 (64.576)
Epoch: [19][6860/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.7400 (2.7604)	Prec@1 35.156 (34.321)	Prec@5 64.062 (64.577)
Epoch: [19][6870/14090]	Time 0.771 (0.765)	Data 0.001 (0.001)	Loss 2.8768 (2.7604)	Prec@1 23.438 (34.320)	Prec@5 61.719 (64.577)
Epoch: [19][6880/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.4636 (2.7603)	Prec@1 43.750 (34.323)	Prec@5 70.312 (64.581)
Epoch: [19][6890/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 2.6661 (2.7602)	Prec@1 30.469 (34.323)	Prec@5 65.625 (64.583)
Epoch: [19][6900/14090]	Time 0.893 (0.765)	Data 0.001 (0.001)	Loss 2.7666 (2.7601)	Prec@1 29.688 (34.323)	Prec@5 64.062 (64.584)
Epoch: [19][6910/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.5417 (2.7602)	Prec@1 42.188 (34.324)	Prec@5 73.438 (64.582)
Epoch: [19][6920/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.6676 (2.7602)	Prec@1 33.594 (34.322)	Prec@5 65.625 (64.584)
Epoch: [19][6930/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.6094 (2.7602)	Prec@1 36.719 (34.320)	Prec@5 67.969 (64.584)
Epoch: [19][6940/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.8445 (2.7603)	Prec@1 32.031 (34.317)	Prec@5 63.281 (64.583)
Epoch: [19][6950/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.8979 (2.7604)	Prec@1 35.156 (34.317)	Prec@5 63.281 (64.582)
Epoch: [19][6960/14090]	Time 0.771 (0.765)	Data 0.001 (0.001)	Loss 2.4549 (2.7602)	Prec@1 46.875 (34.320)	Prec@5 73.438 (64.587)
Epoch: [19][6970/14090]	Time 0.850 (0.765)	Data 0.001 (0.001)	Loss 2.7497 (2.7602)	Prec@1 37.500 (34.321)	Prec@5 60.938 (64.587)
Epoch: [19][6980/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.5012 (2.7601)	Prec@1 35.156 (34.321)	Prec@5 70.312 (64.589)
Epoch: [19][6990/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.3893 (2.7600)	Prec@1 40.625 (34.321)	Prec@5 68.750 (64.591)
Epoch: [19][7000/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.7650 (2.7600)	Prec@1 34.375 (34.319)	Prec@5 65.625 (64.589)
Epoch: [19][7010/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.7071 (2.7600)	Prec@1 40.625 (34.322)	Prec@5 65.625 (64.591)
Epoch: [19][7020/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.8334 (2.7600)	Prec@1 31.250 (34.320)	Prec@5 67.188 (64.590)
Epoch: [19][7030/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.5303 (2.7600)	Prec@1 39.844 (34.319)	Prec@5 67.969 (64.590)
Epoch: [19][7040/14090]	Time 0.870 (0.765)	Data 0.001 (0.001)	Loss 2.8507 (2.7600)	Prec@1 39.062 (34.319)	Prec@5 62.500 (64.587)
Epoch: [19][7050/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.6906 (2.7599)	Prec@1 35.156 (34.323)	Prec@5 67.969 (64.590)
Epoch: [19][7060/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.6095 (2.7599)	Prec@1 36.719 (34.325)	Prec@5 61.719 (64.588)
Epoch: [19][7070/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 3.0080 (2.7600)	Prec@1 28.125 (34.325)	Prec@5 57.031 (64.586)
Epoch: [19][7080/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.7758 (2.7601)	Prec@1 33.594 (34.324)	Prec@5 64.062 (64.588)
Epoch: [19][7090/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.9134 (2.7601)	Prec@1 28.125 (34.323)	Prec@5 64.844 (64.587)
Epoch: [19][7100/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.8796 (2.7603)	Prec@1 30.469 (34.320)	Prec@5 63.281 (64.582)
Epoch: [19][7110/14090]	Time 0.855 (0.765)	Data 0.001 (0.001)	Loss 2.7434 (2.7602)	Prec@1 39.062 (34.322)	Prec@5 64.062 (64.583)
Epoch: [19][7120/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.7548 (2.7602)	Prec@1 31.250 (34.320)	Prec@5 68.750 (64.584)
Epoch: [19][7130/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 3.0999 (2.7603)	Prec@1 28.125 (34.317)	Prec@5 60.156 (64.584)
Epoch: [19][7140/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.6647 (2.7602)	Prec@1 39.062 (34.318)	Prec@5 63.281 (64.586)
Epoch: [19][7150/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.9083 (2.7602)	Prec@1 26.562 (34.317)	Prec@5 61.719 (64.586)
Epoch: [19][7160/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.7117 (2.7600)	Prec@1 39.062 (34.319)	Prec@5 67.188 (64.590)
Epoch: [19][7170/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.5208 (2.7599)	Prec@1 44.531 (34.323)	Prec@5 70.312 (64.593)
Epoch: [19][7180/14090]	Time 0.868 (0.765)	Data 0.001 (0.001)	Loss 2.6134 (2.7598)	Prec@1 36.719 (34.324)	Prec@5 72.656 (64.594)
Epoch: [19][7190/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.5764 (2.7598)	Prec@1 35.156 (34.323)	Prec@5 68.750 (64.595)
Epoch: [19][7200/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.8580 (2.7598)	Prec@1 36.719 (34.319)	Prec@5 60.938 (64.593)
Epoch: [19][7210/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.8676 (2.7599)	Prec@1 35.156 (34.320)	Prec@5 64.062 (64.593)
Epoch: [19][7220/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.3898 (2.7597)	Prec@1 39.062 (34.323)	Prec@5 71.094 (64.596)
Epoch: [19][7230/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.5903 (2.7597)	Prec@1 36.719 (34.323)	Prec@5 64.062 (64.594)
Epoch: [19][7240/14090]	Time 0.781 (0.765)	Data 0.001 (0.001)	Loss 2.8130 (2.7597)	Prec@1 34.375 (34.325)	Prec@5 61.719 (64.593)
Epoch: [19][7250/14090]	Time 0.837 (0.765)	Data 0.001 (0.001)	Loss 2.8103 (2.7599)	Prec@1 30.469 (34.323)	Prec@5 65.625 (64.591)
Epoch: [19][7260/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.8257 (2.7599)	Prec@1 28.906 (34.322)	Prec@5 62.500 (64.593)
Epoch: [19][7270/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.4652 (2.7596)	Prec@1 36.719 (34.324)	Prec@5 72.656 (64.598)
Epoch: [19][7280/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 3.0396 (2.7596)	Prec@1 26.562 (34.326)	Prec@5 59.375 (64.599)
Epoch: [19][7290/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.5357 (2.7596)	Prec@1 39.844 (34.324)	Prec@5 73.438 (64.600)
Epoch: [19][7300/14090]	Time 0.790 (0.765)	Data 0.001 (0.001)	Loss 2.7191 (2.7596)	Prec@1 34.375 (34.324)	Prec@5 64.844 (64.600)
Epoch: [19][7310/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.8131 (2.7596)	Prec@1 28.125 (34.326)	Prec@5 64.062 (64.600)
Epoch: [19][7320/14090]	Time 0.843 (0.765)	Data 0.001 (0.001)	Loss 2.9709 (2.7596)	Prec@1 31.250 (34.324)	Prec@5 57.031 (64.599)
Epoch: [19][7330/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.5317 (2.7596)	Prec@1 37.500 (34.322)	Prec@5 67.969 (64.600)
Epoch: [19][7340/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.4963 (2.7596)	Prec@1 31.250 (34.322)	Prec@5 67.969 (64.599)
Epoch: [19][7350/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.8117 (2.7595)	Prec@1 37.500 (34.324)	Prec@5 61.719 (64.602)
Epoch: [19][7360/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.6148 (2.7596)	Prec@1 31.250 (34.322)	Prec@5 67.188 (64.601)
Epoch: [19][7370/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.7949 (2.7597)	Prec@1 33.594 (34.319)	Prec@5 67.969 (64.600)
Epoch: [19][7380/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.6871 (2.7596)	Prec@1 38.281 (34.322)	Prec@5 65.625 (64.602)
Epoch: [19][7390/14090]	Time 0.855 (0.765)	Data 0.001 (0.001)	Loss 2.7052 (2.7594)	Prec@1 30.469 (34.323)	Prec@5 64.062 (64.605)
Epoch: [19][7400/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.4806 (2.7593)	Prec@1 35.938 (34.325)	Prec@5 71.875 (64.607)
Epoch: [19][7410/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.7602 (2.7594)	Prec@1 31.250 (34.323)	Prec@5 67.188 (64.607)
Epoch: [19][7420/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.6347 (2.7594)	Prec@1 39.062 (34.324)	Prec@5 63.281 (64.606)
Epoch: [19][7430/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.5227 (2.7594)	Prec@1 36.719 (34.324)	Prec@5 70.312 (64.607)
Epoch: [19][7440/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.9856 (2.7594)	Prec@1 25.781 (34.322)	Prec@5 57.812 (64.606)
Epoch: [19][7450/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.6698 (2.7594)	Prec@1 34.375 (34.321)	Prec@5 74.219 (64.608)
Epoch: [19][7460/14090]	Time 0.828 (0.765)	Data 0.001 (0.001)	Loss 2.6135 (2.7596)	Prec@1 39.844 (34.319)	Prec@5 69.531 (64.604)
Epoch: [19][7470/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.5499 (2.7597)	Prec@1 39.062 (34.318)	Prec@5 71.094 (64.602)
Epoch: [19][7480/14090]	Time 0.774 (0.765)	Data 0.001 (0.001)	Loss 2.8372 (2.7598)	Prec@1 28.906 (34.316)	Prec@5 60.938 (64.601)
Epoch: [19][7490/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.7733 (2.7598)	Prec@1 31.250 (34.314)	Prec@5 66.406 (64.603)
Epoch: [19][7500/14090]	Time 0.766 (0.765)	Data 0.001 (0.001)	Loss 2.7274 (2.7596)	Prec@1 33.594 (34.318)	Prec@5 65.625 (64.606)
Epoch: [19][7510/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.6643 (2.7596)	Prec@1 29.688 (34.319)	Prec@5 65.625 (64.606)
Epoch: [19][7520/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.7903 (2.7597)	Prec@1 34.375 (34.319)	Prec@5 62.500 (64.602)
Epoch: [19][7530/14090]	Time 0.848 (0.765)	Data 0.001 (0.001)	Loss 2.7498 (2.7596)	Prec@1 38.281 (34.322)	Prec@5 65.625 (64.605)
Epoch: [19][7540/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.6629 (2.7596)	Prec@1 33.594 (34.324)	Prec@5 71.094 (64.606)
Epoch: [19][7550/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.6445 (2.7595)	Prec@1 39.844 (34.324)	Prec@5 67.188 (64.607)
Epoch: [19][7560/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.5737 (2.7595)	Prec@1 38.281 (34.325)	Prec@5 64.844 (64.607)
Epoch: [19][7570/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 3.0439 (2.7594)	Prec@1 28.906 (34.323)	Prec@5 53.125 (64.607)
Epoch: [19][7580/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 2.5829 (2.7594)	Prec@1 35.156 (34.324)	Prec@5 67.969 (64.609)
Epoch: [19][7590/14090]	Time 0.766 (0.765)	Data 0.001 (0.001)	Loss 2.7408 (2.7594)	Prec@1 29.688 (34.322)	Prec@5 59.375 (64.607)
Epoch: [19][7600/14090]	Time 0.859 (0.765)	Data 0.001 (0.001)	Loss 2.7351 (2.7593)	Prec@1 34.375 (34.325)	Prec@5 66.406 (64.610)
Epoch: [19][7610/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.9055 (2.7594)	Prec@1 28.906 (34.322)	Prec@5 64.062 (64.607)
Epoch: [19][7620/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.8491 (2.7595)	Prec@1 33.594 (34.320)	Prec@5 62.500 (64.603)
Epoch: [19][7630/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.8151 (2.7595)	Prec@1 33.594 (34.319)	Prec@5 60.156 (64.604)
Epoch: [19][7640/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.6150 (2.7595)	Prec@1 36.719 (34.319)	Prec@5 72.656 (64.600)
Epoch: [19][7650/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 3.1249 (2.7596)	Prec@1 29.688 (34.316)	Prec@5 56.250 (64.598)
Epoch: [19][7660/14090]	Time 0.768 (0.765)	Data 0.001 (0.001)	Loss 2.6372 (2.7596)	Prec@1 35.156 (34.314)	Prec@5 67.188 (64.596)
Epoch: [19][7670/14090]	Time 0.838 (0.765)	Data 0.001 (0.001)	Loss 3.1207 (2.7598)	Prec@1 25.000 (34.312)	Prec@5 55.469 (64.593)
Epoch: [19][7680/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.7699 (2.7596)	Prec@1 32.812 (34.314)	Prec@5 68.750 (64.595)
Epoch: [19][7690/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.5325 (2.7596)	Prec@1 32.812 (34.315)	Prec@5 70.312 (64.595)
Epoch: [19][7700/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.7893 (2.7598)	Prec@1 32.031 (34.314)	Prec@5 63.281 (64.592)
Epoch: [19][7710/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.5145 (2.7599)	Prec@1 35.938 (34.310)	Prec@5 69.531 (64.589)
Epoch: [19][7720/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.5934 (2.7599)	Prec@1 40.625 (34.310)	Prec@5 71.875 (64.590)
Epoch: [19][7730/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.6065 (2.7600)	Prec@1 34.375 (34.309)	Prec@5 66.406 (64.588)
Epoch: [19][7740/14090]	Time 0.872 (0.765)	Data 0.001 (0.001)	Loss 3.1710 (2.7600)	Prec@1 27.344 (34.308)	Prec@5 56.250 (64.587)
Epoch: [19][7750/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.5605 (2.7599)	Prec@1 38.281 (34.311)	Prec@5 71.094 (64.588)
Epoch: [19][7760/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.8358 (2.7599)	Prec@1 31.250 (34.308)	Prec@5 65.625 (64.586)
Epoch: [19][7770/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 3.0199 (2.7600)	Prec@1 23.438 (34.307)	Prec@5 60.938 (64.587)
Epoch: [19][7780/14090]	Time 0.775 (0.765)	Data 0.001 (0.001)	Loss 2.8139 (2.7600)	Prec@1 35.938 (34.306)	Prec@5 65.625 (64.587)
Epoch: [19][7790/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.6182 (2.7600)	Prec@1 35.156 (34.305)	Prec@5 67.969 (64.586)
Epoch: [19][7800/14090]	Time 0.777 (0.765)	Data 0.001 (0.001)	Loss 2.7493 (2.7600)	Prec@1 35.938 (34.305)	Prec@5 64.844 (64.586)
Epoch: [19][7810/14090]	Time 0.855 (0.765)	Data 0.001 (0.001)	Loss 3.0115 (2.7601)	Prec@1 28.125 (34.305)	Prec@5 57.812 (64.584)
Epoch: [19][7820/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.6476 (2.7600)	Prec@1 35.938 (34.304)	Prec@5 67.188 (64.585)
Epoch: [19][7830/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.6045 (2.7600)	Prec@1 38.281 (34.304)	Prec@5 65.625 (64.584)
Epoch: [19][7840/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.8121 (2.7600)	Prec@1 31.250 (34.303)	Prec@5 63.281 (64.583)
Epoch: [19][7850/14090]	Time 0.721 (0.765)	Data 0.001 (0.001)	Loss 2.9364 (2.7600)	Prec@1 33.594 (34.303)	Prec@5 62.500 (64.582)
Epoch: [19][7860/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.5949 (2.7600)	Prec@1 36.719 (34.303)	Prec@5 65.625 (64.582)
Epoch: [19][7870/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.6742 (2.7599)	Prec@1 34.375 (34.302)	Prec@5 67.969 (64.583)
Epoch: [19][7880/14090]	Time 0.875 (0.765)	Data 0.001 (0.001)	Loss 2.5560 (2.7600)	Prec@1 37.500 (34.300)	Prec@5 65.625 (64.582)
Epoch: [19][7890/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 3.1599 (2.7601)	Prec@1 32.031 (34.300)	Prec@5 58.594 (64.582)
Epoch: [19][7900/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 3.1586 (2.7603)	Prec@1 25.781 (34.296)	Prec@5 53.906 (64.579)
Epoch: [19][7910/14090]	Time 0.769 (0.765)	Data 0.001 (0.001)	Loss 2.6538 (2.7603)	Prec@1 34.375 (34.297)	Prec@5 71.094 (64.578)
Epoch: [19][7920/14090]	Time 0.771 (0.765)	Data 0.001 (0.001)	Loss 2.6497 (2.7602)	Prec@1 36.719 (34.297)	Prec@5 64.062 (64.580)
Epoch: [19][7930/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 3.0395 (2.7603)	Prec@1 27.344 (34.297)	Prec@5 58.594 (64.578)
Epoch: [19][7940/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.7295 (2.7603)	Prec@1 28.125 (34.296)	Prec@5 66.406 (64.580)
Epoch: [19][7950/14090]	Time 0.868 (0.765)	Data 0.001 (0.001)	Loss 2.8480 (2.7604)	Prec@1 36.719 (34.295)	Prec@5 67.188 (64.578)
Epoch: [19][7960/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 3.0259 (2.7604)	Prec@1 30.469 (34.295)	Prec@5 57.812 (64.578)
Epoch: [19][7970/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.6962 (2.7604)	Prec@1 32.031 (34.294)	Prec@5 64.844 (64.579)
Epoch: [19][7980/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.6544 (2.7603)	Prec@1 42.188 (34.296)	Prec@5 65.625 (64.581)
Epoch: [19][7990/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.6116 (2.7603)	Prec@1 39.062 (34.298)	Prec@5 67.969 (64.580)
Epoch: [19][8000/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.6237 (2.7602)	Prec@1 34.375 (34.298)	Prec@5 64.844 (64.582)
Epoch: [19][8010/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.6813 (2.7602)	Prec@1 39.844 (34.297)	Prec@5 69.531 (64.582)
Epoch: [19][8020/14090]	Time 0.877 (0.765)	Data 0.001 (0.001)	Loss 2.6269 (2.7603)	Prec@1 37.500 (34.297)	Prec@5 63.281 (64.580)
Epoch: [19][8030/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.6312 (2.7602)	Prec@1 39.844 (34.300)	Prec@5 65.625 (64.581)
Epoch: [19][8040/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.8766 (2.7602)	Prec@1 29.688 (34.302)	Prec@5 61.719 (64.580)
Epoch: [19][8050/14090]	Time 0.783 (0.765)	Data 0.001 (0.001)	Loss 2.5837 (2.7601)	Prec@1 41.406 (34.304)	Prec@5 68.750 (64.580)
Epoch: [19][8060/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.7962 (2.7601)	Prec@1 35.156 (34.303)	Prec@5 65.625 (64.581)
Epoch: [19][8070/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.9288 (2.7602)	Prec@1 30.469 (34.302)	Prec@5 61.719 (64.578)
Epoch: [19][8080/14090]	Time 0.777 (0.765)	Data 0.001 (0.001)	Loss 2.8469 (2.7602)	Prec@1 34.375 (34.301)	Prec@5 64.844 (64.582)
Epoch: [19][8090/14090]	Time 0.846 (0.765)	Data 0.001 (0.001)	Loss 2.9308 (2.7602)	Prec@1 33.594 (34.302)	Prec@5 65.625 (64.583)
Epoch: [19][8100/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.6989 (2.7601)	Prec@1 31.250 (34.303)	Prec@5 68.750 (64.585)
Epoch: [19][8110/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 3.1582 (2.7603)	Prec@1 27.344 (34.300)	Prec@5 60.156 (64.583)
Epoch: [19][8120/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.6431 (2.7603)	Prec@1 38.281 (34.300)	Prec@5 65.625 (64.583)
Epoch: [19][8130/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 3.0071 (2.7602)	Prec@1 33.594 (34.301)	Prec@5 61.719 (64.583)
Epoch: [19][8140/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.8127 (2.7602)	Prec@1 32.812 (34.301)	Prec@5 65.625 (64.585)
Epoch: [19][8150/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.7737 (2.7601)	Prec@1 31.250 (34.305)	Prec@5 62.500 (64.586)
Epoch: [19][8160/14090]	Time 0.854 (0.765)	Data 0.001 (0.001)	Loss 3.0906 (2.7600)	Prec@1 30.469 (34.306)	Prec@5 60.156 (64.588)
Epoch: [19][8170/14090]	Time 0.767 (0.765)	Data 0.001 (0.001)	Loss 2.6424 (2.7599)	Prec@1 36.719 (34.307)	Prec@5 68.750 (64.591)
Epoch: [19][8180/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.9405 (2.7600)	Prec@1 34.375 (34.305)	Prec@5 60.938 (64.590)
Epoch: [19][8190/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.9346 (2.7600)	Prec@1 28.125 (34.305)	Prec@5 55.469 (64.589)
Epoch: [19][8200/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.5879 (2.7599)	Prec@1 36.719 (34.305)	Prec@5 70.312 (64.591)
Epoch: [19][8210/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.6662 (2.7598)	Prec@1 40.625 (34.308)	Prec@5 67.188 (64.593)
Epoch: [19][8220/14090]	Time 0.774 (0.765)	Data 0.001 (0.001)	Loss 3.0051 (2.7598)	Prec@1 32.812 (34.308)	Prec@5 55.469 (64.590)
Epoch: [19][8230/14090]	Time 0.855 (0.765)	Data 0.001 (0.001)	Loss 2.6332 (2.7598)	Prec@1 38.281 (34.309)	Prec@5 64.062 (64.588)
Epoch: [19][8240/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.4872 (2.7598)	Prec@1 39.062 (34.309)	Prec@5 64.844 (64.587)
Epoch: [19][8250/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.6055 (2.7597)	Prec@1 34.375 (34.313)	Prec@5 63.281 (64.589)
Epoch: [19][8260/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.9220 (2.7597)	Prec@1 30.469 (34.312)	Prec@5 57.812 (64.587)
Epoch: [19][8270/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.7728 (2.7596)	Prec@1 36.719 (34.314)	Prec@5 67.969 (64.591)
Epoch: [19][8280/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.6819 (2.7596)	Prec@1 34.375 (34.313)	Prec@5 67.188 (64.589)
Epoch: [19][8290/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 3.0150 (2.7596)	Prec@1 29.688 (34.312)	Prec@5 56.250 (64.589)
Epoch: [19][8300/14090]	Time 0.896 (0.765)	Data 0.004 (0.001)	Loss 2.9159 (2.7596)	Prec@1 33.594 (34.311)	Prec@5 65.625 (64.590)
Epoch: [19][8310/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.9555 (2.7597)	Prec@1 31.250 (34.309)	Prec@5 57.812 (64.589)
Epoch: [19][8320/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.5769 (2.7597)	Prec@1 36.719 (34.308)	Prec@5 65.625 (64.588)
Epoch: [19][8330/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 2.8146 (2.7598)	Prec@1 35.156 (34.308)	Prec@5 63.281 (64.588)
Epoch: [19][8340/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 2.5639 (2.7599)	Prec@1 34.375 (34.304)	Prec@5 64.062 (64.586)
Epoch: [19][8350/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.8385 (2.7599)	Prec@1 33.594 (34.303)	Prec@5 64.844 (64.587)
Epoch: [19][8360/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 3.0493 (2.7599)	Prec@1 28.125 (34.303)	Prec@5 62.500 (64.586)
Epoch: [19][8370/14090]	Time 0.809 (0.765)	Data 0.001 (0.001)	Loss 2.9918 (2.7599)	Prec@1 31.250 (34.304)	Prec@5 62.500 (64.585)
Epoch: [19][8380/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.7407 (2.7598)	Prec@1 32.031 (34.306)	Prec@5 61.719 (64.585)
Epoch: [19][8390/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.7140 (2.7598)	Prec@1 35.938 (34.307)	Prec@5 67.969 (64.586)
Epoch: [19][8400/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.4547 (2.7597)	Prec@1 33.594 (34.310)	Prec@5 72.656 (64.587)
Epoch: [19][8410/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.7795 (2.7597)	Prec@1 28.906 (34.310)	Prec@5 64.844 (64.588)
Epoch: [19][8420/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.8829 (2.7598)	Prec@1 35.938 (34.310)	Prec@5 64.844 (64.587)
Epoch: [19][8430/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 3.0024 (2.7598)	Prec@1 32.031 (34.310)	Prec@5 59.375 (64.587)
Epoch: [19][8440/14090]	Time 0.870 (0.765)	Data 0.001 (0.001)	Loss 2.7546 (2.7597)	Prec@1 36.719 (34.312)	Prec@5 66.406 (64.589)
Epoch: [19][8450/14090]	Time 0.784 (0.765)	Data 0.001 (0.001)	Loss 2.7117 (2.7598)	Prec@1 34.375 (34.310)	Prec@5 67.188 (64.587)
Epoch: [19][8460/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.9144 (2.7597)	Prec@1 31.250 (34.311)	Prec@5 62.500 (64.590)
Epoch: [19][8470/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 3.1486 (2.7598)	Prec@1 32.031 (34.310)	Prec@5 53.906 (64.590)
Epoch: [19][8480/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.9338 (2.7598)	Prec@1 32.031 (34.308)	Prec@5 60.938 (64.591)
Epoch: [19][8490/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.5644 (2.7597)	Prec@1 39.062 (34.308)	Prec@5 62.500 (64.591)
Epoch: [19][8500/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 3.1433 (2.7598)	Prec@1 28.125 (34.307)	Prec@5 58.594 (64.589)
Epoch: [19][8510/14090]	Time 0.864 (0.765)	Data 0.001 (0.001)	Loss 2.7522 (2.7598)	Prec@1 35.156 (34.306)	Prec@5 65.625 (64.589)
Epoch: [19][8520/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.6615 (2.7598)	Prec@1 33.594 (34.306)	Prec@5 66.406 (64.588)
Epoch: [19][8530/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.9594 (2.7598)	Prec@1 32.812 (34.308)	Prec@5 58.594 (64.588)
Epoch: [19][8540/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.8466 (2.7598)	Prec@1 37.500 (34.308)	Prec@5 61.719 (64.587)
Epoch: [19][8550/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.5583 (2.7599)	Prec@1 38.281 (34.308)	Prec@5 64.062 (64.585)
Epoch: [19][8560/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.7469 (2.7598)	Prec@1 37.500 (34.309)	Prec@5 63.281 (64.587)
Epoch: [19][8570/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.6486 (2.7598)	Prec@1 37.500 (34.309)	Prec@5 66.406 (64.588)
Epoch: [19][8580/14090]	Time 0.876 (0.765)	Data 0.001 (0.001)	Loss 2.9024 (2.7598)	Prec@1 32.812 (34.307)	Prec@5 61.719 (64.588)
Epoch: [19][8590/14090]	Time 0.783 (0.765)	Data 0.001 (0.001)	Loss 2.9950 (2.7598)	Prec@1 28.125 (34.307)	Prec@5 59.375 (64.588)
Epoch: [19][8600/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.9685 (2.7599)	Prec@1 35.156 (34.306)	Prec@5 66.406 (64.588)
Epoch: [19][8610/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.8468 (2.7598)	Prec@1 32.031 (34.306)	Prec@5 64.062 (64.589)
Epoch: [19][8620/14090]	Time 0.796 (0.765)	Data 0.001 (0.001)	Loss 2.5195 (2.7597)	Prec@1 39.062 (34.307)	Prec@5 65.625 (64.592)
Epoch: [19][8630/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.6990 (2.7598)	Prec@1 33.594 (34.305)	Prec@5 61.719 (64.590)
Epoch: [19][8640/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.7499 (2.7598)	Prec@1 37.500 (34.306)	Prec@5 64.062 (64.592)
Epoch: [19][8650/14090]	Time 0.836 (0.765)	Data 0.001 (0.001)	Loss 2.9258 (2.7598)	Prec@1 32.812 (34.305)	Prec@5 61.719 (64.593)
Epoch: [19][8660/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 3.1339 (2.7599)	Prec@1 25.781 (34.305)	Prec@5 58.594 (64.593)
Epoch: [19][8670/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.4916 (2.7599)	Prec@1 37.500 (34.306)	Prec@5 69.531 (64.593)
Epoch: [19][8680/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.8812 (2.7598)	Prec@1 35.156 (34.307)	Prec@5 56.250 (64.594)
Epoch: [19][8690/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.9511 (2.7598)	Prec@1 28.906 (34.307)	Prec@5 62.500 (64.595)
Epoch: [19][8700/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.4923 (2.7598)	Prec@1 38.281 (34.307)	Prec@5 68.750 (64.594)
Epoch: [19][8710/14090]	Time 0.776 (0.765)	Data 0.001 (0.001)	Loss 2.7837 (2.7598)	Prec@1 28.125 (34.305)	Prec@5 63.281 (64.595)
Epoch: [19][8720/14090]	Time 0.841 (0.765)	Data 0.001 (0.001)	Loss 2.6412 (2.7596)	Prec@1 35.156 (34.307)	Prec@5 69.531 (64.599)
Epoch: [19][8730/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.9178 (2.7596)	Prec@1 38.281 (34.310)	Prec@5 63.281 (64.598)
Epoch: [19][8740/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.7710 (2.7597)	Prec@1 33.594 (34.307)	Prec@5 58.594 (64.598)
Epoch: [19][8750/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.7402 (2.7596)	Prec@1 32.812 (34.308)	Prec@5 59.375 (64.597)
Epoch: [19][8760/14090]	Time 0.776 (0.765)	Data 0.001 (0.001)	Loss 2.4917 (2.7596)	Prec@1 38.281 (34.310)	Prec@5 72.656 (64.597)
Epoch: [19][8770/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.7254 (2.7596)	Prec@1 34.375 (34.308)	Prec@5 65.625 (64.599)
Epoch: [19][8780/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 3.1805 (2.7596)	Prec@1 32.031 (34.307)	Prec@5 58.594 (64.598)
Epoch: [19][8790/14090]	Time 0.827 (0.765)	Data 0.001 (0.001)	Loss 2.8035 (2.7595)	Prec@1 29.688 (34.308)	Prec@5 66.406 (64.601)
Epoch: [19][8800/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.6599 (2.7595)	Prec@1 39.062 (34.308)	Prec@5 64.062 (64.599)
Epoch: [19][8810/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.7887 (2.7596)	Prec@1 28.125 (34.306)	Prec@5 64.062 (64.599)
Epoch: [19][8820/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.6610 (2.7595)	Prec@1 34.375 (34.307)	Prec@5 65.625 (64.600)
Epoch: [19][8830/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.6848 (2.7594)	Prec@1 32.812 (34.306)	Prec@5 67.969 (64.601)
Epoch: [19][8840/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 3.0474 (2.7594)	Prec@1 26.562 (34.304)	Prec@5 60.938 (64.601)
Epoch: [19][8850/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 2.7731 (2.7594)	Prec@1 31.250 (34.303)	Prec@5 67.969 (64.603)
Epoch: [19][8860/14090]	Time 0.877 (0.765)	Data 0.001 (0.001)	Loss 2.8403 (2.7594)	Prec@1 25.000 (34.302)	Prec@5 60.938 (64.602)
Epoch: [19][8870/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.9856 (2.7594)	Prec@1 29.688 (34.302)	Prec@5 59.375 (64.604)
Epoch: [19][8880/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.7408 (2.7594)	Prec@1 33.594 (34.302)	Prec@5 60.938 (64.603)
Epoch: [19][8890/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 3.1461 (2.7595)	Prec@1 32.031 (34.301)	Prec@5 60.156 (64.601)
Epoch: [19][8900/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.6393 (2.7595)	Prec@1 35.938 (34.300)	Prec@5 64.844 (64.602)
Epoch: [19][8910/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.8887 (2.7595)	Prec@1 27.344 (34.297)	Prec@5 60.156 (64.601)
Epoch: [19][8920/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.5260 (2.7595)	Prec@1 39.062 (34.299)	Prec@5 69.531 (64.603)
Epoch: [19][8930/14090]	Time 0.849 (0.765)	Data 0.001 (0.001)	Loss 2.4727 (2.7595)	Prec@1 39.844 (34.300)	Prec@5 70.312 (64.604)
Epoch: [19][8940/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.9348 (2.7595)	Prec@1 21.875 (34.299)	Prec@5 59.375 (64.603)
Epoch: [19][8950/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.5589 (2.7595)	Prec@1 37.500 (34.299)	Prec@5 70.312 (64.603)
Epoch: [19][8960/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.8761 (2.7595)	Prec@1 32.031 (34.297)	Prec@5 62.500 (64.602)
Epoch: [19][8970/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.6420 (2.7595)	Prec@1 42.188 (34.298)	Prec@5 67.188 (64.604)
Epoch: [19][8980/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.6563 (2.7595)	Prec@1 30.469 (34.298)	Prec@5 73.438 (64.604)
Epoch: [19][8990/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.8456 (2.7594)	Prec@1 36.719 (34.299)	Prec@5 67.969 (64.603)
Epoch: [19][9000/14090]	Time 0.868 (0.765)	Data 0.001 (0.001)	Loss 2.7064 (2.7595)	Prec@1 36.719 (34.299)	Prec@5 65.625 (64.603)
Epoch: [19][9010/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.8051 (2.7594)	Prec@1 34.375 (34.300)	Prec@5 62.500 (64.602)
Epoch: [19][9020/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.8907 (2.7593)	Prec@1 28.906 (34.301)	Prec@5 61.719 (64.603)
Epoch: [19][9030/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.4349 (2.7593)	Prec@1 41.406 (34.303)	Prec@5 71.094 (64.603)
Epoch: [19][9040/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.8942 (2.7593)	Prec@1 30.469 (34.303)	Prec@5 61.719 (64.601)
Epoch: [19][9050/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.9365 (2.7594)	Prec@1 34.375 (34.302)	Prec@5 63.281 (64.600)
Epoch: [19][9060/14090]	Time 0.769 (0.765)	Data 0.001 (0.001)	Loss 2.9139 (2.7593)	Prec@1 39.062 (34.305)	Prec@5 63.281 (64.601)
Epoch: [19][9070/14090]	Time 0.840 (0.765)	Data 0.001 (0.001)	Loss 2.9463 (2.7593)	Prec@1 35.156 (34.307)	Prec@5 59.375 (64.601)
Epoch: [19][9080/14090]	Time 0.768 (0.765)	Data 0.001 (0.001)	Loss 2.6748 (2.7592)	Prec@1 39.062 (34.308)	Prec@5 65.625 (64.603)
Epoch: [19][9090/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.8276 (2.7592)	Prec@1 34.375 (34.307)	Prec@5 65.625 (64.601)
Epoch: [19][9100/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.6894 (2.7592)	Prec@1 37.500 (34.309)	Prec@5 67.969 (64.601)
Epoch: [19][9110/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.9850 (2.7591)	Prec@1 34.375 (34.310)	Prec@5 60.156 (64.602)
Epoch: [19][9120/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.6045 (2.7591)	Prec@1 39.844 (34.310)	Prec@5 67.969 (64.604)
Epoch: [19][9130/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.6469 (2.7589)	Prec@1 39.062 (34.311)	Prec@5 70.312 (64.608)
Epoch: [19][9140/14090]	Time 0.871 (0.765)	Data 0.001 (0.001)	Loss 2.5161 (2.7590)	Prec@1 35.938 (34.308)	Prec@5 68.750 (64.605)
Epoch: [19][9150/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.5431 (2.7589)	Prec@1 39.062 (34.310)	Prec@5 69.531 (64.608)
Epoch: [19][9160/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.5769 (2.7588)	Prec@1 34.375 (34.311)	Prec@5 71.875 (64.611)
Epoch: [19][9170/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.7289 (2.7589)	Prec@1 38.281 (34.311)	Prec@5 66.406 (64.611)
Epoch: [19][9180/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.6135 (2.7588)	Prec@1 35.156 (34.311)	Prec@5 64.844 (64.611)
Epoch: [19][9190/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.6755 (2.7588)	Prec@1 39.844 (34.311)	Prec@5 67.969 (64.612)
Epoch: [19][9200/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.7919 (2.7588)	Prec@1 34.375 (34.307)	Prec@5 60.156 (64.611)
Epoch: [19][9210/14090]	Time 0.866 (0.765)	Data 0.001 (0.001)	Loss 2.7018 (2.7588)	Prec@1 38.281 (34.307)	Prec@5 66.406 (64.611)
Epoch: [19][9220/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.6844 (2.7588)	Prec@1 35.156 (34.306)	Prec@5 64.844 (64.610)
Epoch: [19][9230/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.5483 (2.7589)	Prec@1 41.406 (34.303)	Prec@5 69.531 (64.609)
Epoch: [19][9240/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.8561 (2.7589)	Prec@1 25.000 (34.302)	Prec@5 58.594 (64.609)
Epoch: [19][9250/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.9606 (2.7589)	Prec@1 26.562 (34.302)	Prec@5 57.812 (64.608)
Epoch: [19][9260/14090]	Time 0.769 (0.765)	Data 0.002 (0.001)	Loss 2.7667 (2.7589)	Prec@1 35.156 (34.302)	Prec@5 62.500 (64.607)
Epoch: [19][9270/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 3.2662 (2.7589)	Prec@1 27.344 (34.301)	Prec@5 53.125 (64.607)
Epoch: [19][9280/14090]	Time 0.847 (0.765)	Data 0.001 (0.001)	Loss 2.8168 (2.7589)	Prec@1 28.906 (34.301)	Prec@5 62.500 (64.606)
Epoch: [19][9290/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.8171 (2.7590)	Prec@1 32.812 (34.300)	Prec@5 64.062 (64.604)
Epoch: [19][9300/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.8451 (2.7590)	Prec@1 32.812 (34.298)	Prec@5 62.500 (64.602)
Epoch: [19][9310/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.5332 (2.7590)	Prec@1 42.188 (34.299)	Prec@5 66.406 (64.604)
Epoch: [19][9320/14090]	Time 0.780 (0.765)	Data 0.001 (0.001)	Loss 2.8205 (2.7591)	Prec@1 32.812 (34.297)	Prec@5 61.719 (64.601)
Epoch: [19][9330/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.7605 (2.7590)	Prec@1 32.812 (34.299)	Prec@5 65.625 (64.601)
Epoch: [19][9340/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.9776 (2.7590)	Prec@1 31.250 (34.300)	Prec@5 60.156 (64.601)
Epoch: [19][9350/14090]	Time 0.846 (0.765)	Data 0.001 (0.001)	Loss 2.8485 (2.7590)	Prec@1 26.562 (34.299)	Prec@5 57.812 (64.599)
Epoch: [19][9360/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.8486 (2.7591)	Prec@1 30.469 (34.297)	Prec@5 62.500 (64.596)
Epoch: [19][9370/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.8168 (2.7591)	Prec@1 32.031 (34.295)	Prec@5 63.281 (64.597)
Epoch: [19][9380/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.7803 (2.7591)	Prec@1 31.250 (34.293)	Prec@5 67.188 (64.597)
Epoch: [19][9390/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.8462 (2.7592)	Prec@1 33.594 (34.293)	Prec@5 64.844 (64.598)
Epoch: [19][9400/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.8544 (2.7592)	Prec@1 34.375 (34.293)	Prec@5 58.594 (64.597)
Epoch: [19][9410/14090]	Time 0.782 (0.765)	Data 0.001 (0.001)	Loss 2.5818 (2.7592)	Prec@1 40.625 (34.293)	Prec@5 73.438 (64.597)
Epoch: [19][9420/14090]	Time 0.868 (0.765)	Data 0.001 (0.001)	Loss 2.8474 (2.7591)	Prec@1 26.562 (34.295)	Prec@5 62.500 (64.600)
Epoch: [19][9430/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.8962 (2.7590)	Prec@1 32.031 (34.297)	Prec@5 62.500 (64.599)
Epoch: [19][9440/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.8501 (2.7590)	Prec@1 32.812 (34.296)	Prec@5 64.062 (64.597)
Epoch: [19][9450/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.7099 (2.7590)	Prec@1 41.406 (34.297)	Prec@5 64.062 (64.598)
Epoch: [19][9460/14090]	Time 0.777 (0.765)	Data 0.001 (0.001)	Loss 2.9158 (2.7590)	Prec@1 32.031 (34.296)	Prec@5 63.281 (64.597)
Epoch: [19][9470/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 3.0178 (2.7589)	Prec@1 28.125 (34.298)	Prec@5 57.812 (64.599)
Epoch: [19][9480/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.7749 (2.7588)	Prec@1 37.500 (34.302)	Prec@5 63.281 (64.602)
Epoch: [19][9490/14090]	Time 0.858 (0.765)	Data 0.001 (0.001)	Loss 2.9250 (2.7589)	Prec@1 32.031 (34.300)	Prec@5 61.719 (64.600)
Epoch: [19][9500/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.9307 (2.7589)	Prec@1 26.562 (34.297)	Prec@5 63.281 (64.599)
Epoch: [19][9510/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 3.0205 (2.7589)	Prec@1 34.375 (34.297)	Prec@5 57.812 (64.598)
Epoch: [19][9520/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.8150 (2.7588)	Prec@1 34.375 (34.299)	Prec@5 62.500 (64.599)
Epoch: [19][9530/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.7482 (2.7588)	Prec@1 37.500 (34.299)	Prec@5 66.406 (64.600)
Epoch: [19][9540/14090]	Time 0.774 (0.765)	Data 0.001 (0.001)	Loss 2.7492 (2.7587)	Prec@1 34.375 (34.299)	Prec@5 64.062 (64.602)
Epoch: [19][9550/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.9088 (2.7588)	Prec@1 36.719 (34.297)	Prec@5 59.375 (64.598)
Epoch: [19][9560/14090]	Time 0.862 (0.765)	Data 0.001 (0.001)	Loss 2.9792 (2.7588)	Prec@1 28.906 (34.298)	Prec@5 60.938 (64.597)
Epoch: [19][9570/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.7537 (2.7589)	Prec@1 35.938 (34.296)	Prec@5 64.844 (64.596)
Epoch: [19][9580/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.6768 (2.7589)	Prec@1 34.375 (34.296)	Prec@5 69.531 (64.596)
Epoch: [19][9590/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 3.1422 (2.7590)	Prec@1 28.125 (34.295)	Prec@5 63.281 (64.594)
Epoch: [19][9600/14090]	Time 0.777 (0.765)	Data 0.001 (0.001)	Loss 2.8337 (2.7590)	Prec@1 33.594 (34.295)	Prec@5 67.188 (64.595)
Epoch: [19][9610/14090]	Time 0.766 (0.765)	Data 0.001 (0.001)	Loss 2.6831 (2.7590)	Prec@1 32.031 (34.293)	Prec@5 67.188 (64.594)
Epoch: [19][9620/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.9076 (2.7590)	Prec@1 32.031 (34.293)	Prec@5 60.938 (64.593)
Epoch: [19][9630/14090]	Time 0.837 (0.765)	Data 0.001 (0.001)	Loss 2.4422 (2.7588)	Prec@1 38.281 (34.297)	Prec@5 73.438 (64.595)
Epoch: [19][9640/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.8086 (2.7588)	Prec@1 36.719 (34.299)	Prec@5 61.719 (64.596)
Epoch: [19][9650/14090]	Time 0.769 (0.765)	Data 0.001 (0.001)	Loss 2.7335 (2.7587)	Prec@1 33.594 (34.299)	Prec@5 66.406 (64.597)
Epoch: [19][9660/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.8512 (2.7587)	Prec@1 28.125 (34.300)	Prec@5 62.500 (64.598)
Epoch: [19][9670/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.8674 (2.7588)	Prec@1 25.781 (34.298)	Prec@5 66.406 (64.595)
Epoch: [19][9680/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.5775 (2.7589)	Prec@1 35.938 (34.296)	Prec@5 67.969 (64.594)
Epoch: [19][9690/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.5247 (2.7588)	Prec@1 35.938 (34.298)	Prec@5 69.531 (64.595)
Epoch: [19][9700/14090]	Time 0.915 (0.765)	Data 0.001 (0.001)	Loss 2.7634 (2.7589)	Prec@1 30.469 (34.296)	Prec@5 64.844 (64.595)
Epoch: [19][9710/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.7143 (2.7589)	Prec@1 34.375 (34.296)	Prec@5 71.094 (64.595)
Epoch: [19][9720/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.6774 (2.7589)	Prec@1 35.156 (34.297)	Prec@5 62.500 (64.593)
Epoch: [19][9730/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.9204 (2.7590)	Prec@1 28.125 (34.296)	Prec@5 58.594 (64.592)
Epoch: [19][9740/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.7019 (2.7589)	Prec@1 32.031 (34.296)	Prec@5 65.625 (64.592)
Epoch: [19][9750/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.6077 (2.7589)	Prec@1 33.594 (34.296)	Prec@5 70.312 (64.593)
Epoch: [19][9760/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.8003 (2.7590)	Prec@1 35.938 (34.297)	Prec@5 67.969 (64.592)
Epoch: [19][9770/14090]	Time 0.871 (0.765)	Data 0.001 (0.001)	Loss 2.6882 (2.7590)	Prec@1 35.156 (34.297)	Prec@5 64.844 (64.592)
Epoch: [19][9780/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.5757 (2.7590)	Prec@1 31.250 (34.296)	Prec@5 70.312 (64.592)
Epoch: [19][9790/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.9704 (2.7590)	Prec@1 33.594 (34.298)	Prec@5 60.938 (64.591)
Epoch: [19][9800/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.7178 (2.7590)	Prec@1 35.938 (34.298)	Prec@5 64.844 (64.590)
Epoch: [19][9810/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.7099 (2.7591)	Prec@1 35.938 (34.298)	Prec@5 66.406 (64.588)
Epoch: [19][9820/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.7605 (2.7591)	Prec@1 32.812 (34.296)	Prec@5 65.625 (64.588)
Epoch: [19][9830/14090]	Time 0.722 (0.765)	Data 0.001 (0.001)	Loss 2.8367 (2.7590)	Prec@1 32.031 (34.297)	Prec@5 66.406 (64.589)
Epoch: [19][9840/14090]	Time 0.855 (0.765)	Data 0.001 (0.001)	Loss 2.7434 (2.7590)	Prec@1 32.031 (34.298)	Prec@5 65.625 (64.590)
Epoch: [19][9850/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.6592 (2.7589)	Prec@1 35.938 (34.298)	Prec@5 65.625 (64.592)
Epoch: [19][9860/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.5836 (2.7589)	Prec@1 37.500 (34.299)	Prec@5 70.312 (64.594)
Epoch: [19][9870/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.7297 (2.7588)	Prec@1 39.062 (34.300)	Prec@5 65.625 (64.596)
Epoch: [19][9880/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.9561 (2.7590)	Prec@1 33.594 (34.298)	Prec@5 64.844 (64.592)
Epoch: [19][9890/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.5317 (2.7589)	Prec@1 40.625 (34.300)	Prec@5 65.625 (64.595)
Epoch: [19][9900/14090]	Time 0.786 (0.765)	Data 0.001 (0.001)	Loss 2.9902 (2.7590)	Prec@1 33.594 (34.300)	Prec@5 64.062 (64.593)
Epoch: [19][9910/14090]	Time 0.852 (0.765)	Data 0.001 (0.001)	Loss 2.6944 (2.7590)	Prec@1 32.031 (34.301)	Prec@5 64.062 (64.595)
Epoch: [19][9920/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.8070 (2.7590)	Prec@1 34.375 (34.301)	Prec@5 61.719 (64.594)
Epoch: [19][9930/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.6746 (2.7590)	Prec@1 38.281 (34.302)	Prec@5 66.406 (64.594)
Epoch: [19][9940/14090]	Time 0.769 (0.765)	Data 0.001 (0.001)	Loss 2.8084 (2.7590)	Prec@1 28.906 (34.299)	Prec@5 62.500 (64.594)
Epoch: [19][9950/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.7187 (2.7591)	Prec@1 33.594 (34.297)	Prec@5 67.969 (64.592)
Epoch: [19][9960/14090]	Time 0.772 (0.765)	Data 0.001 (0.001)	Loss 2.8047 (2.7591)	Prec@1 35.156 (34.297)	Prec@5 67.188 (64.592)
Epoch: [19][9970/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.7390 (2.7591)	Prec@1 33.594 (34.298)	Prec@5 60.156 (64.590)
Epoch: [19][9980/14090]	Time 0.897 (0.765)	Data 0.001 (0.001)	Loss 3.0569 (2.7592)	Prec@1 27.344 (34.297)	Prec@5 57.031 (64.588)
Epoch: [19][9990/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.8694 (2.7592)	Prec@1 33.594 (34.298)	Prec@5 59.375 (64.588)
Epoch: [19][10000/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.9104 (2.7592)	Prec@1 29.688 (34.298)	Prec@5 60.938 (64.588)
Epoch: [19][10010/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.9924 (2.7593)	Prec@1 25.781 (34.296)	Prec@5 62.500 (64.586)
Epoch: [19][10020/14090]	Time 0.773 (0.765)	Data 0.001 (0.001)	Loss 2.5109 (2.7591)	Prec@1 39.844 (34.299)	Prec@5 70.312 (64.590)
Epoch: [19][10030/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.5400 (2.7590)	Prec@1 41.406 (34.301)	Prec@5 68.750 (64.590)
Epoch: [19][10040/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.7668 (2.7591)	Prec@1 36.719 (34.300)	Prec@5 64.844 (64.589)
Epoch: [19][10050/14090]	Time 0.861 (0.765)	Data 0.001 (0.001)	Loss 2.6696 (2.7590)	Prec@1 27.344 (34.301)	Prec@5 69.531 (64.590)
Epoch: [19][10060/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.8430 (2.7590)	Prec@1 31.250 (34.300)	Prec@5 56.250 (64.589)
Epoch: [19][10070/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.7841 (2.7591)	Prec@1 35.938 (34.302)	Prec@5 67.969 (64.590)
Epoch: [19][10080/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.7007 (2.7591)	Prec@1 32.812 (34.301)	Prec@5 66.406 (64.588)
Epoch: [19][10090/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.5893 (2.7590)	Prec@1 37.500 (34.303)	Prec@5 65.625 (64.587)
Epoch: [19][10100/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.7787 (2.7591)	Prec@1 34.375 (34.303)	Prec@5 64.062 (64.587)
Epoch: [19][10110/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.6718 (2.7590)	Prec@1 39.844 (34.304)	Prec@5 69.531 (64.588)
Epoch: [19][10120/14090]	Time 0.871 (0.765)	Data 0.001 (0.001)	Loss 2.7544 (2.7590)	Prec@1 35.938 (34.304)	Prec@5 64.844 (64.587)
Epoch: [19][10130/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.7952 (2.7591)	Prec@1 28.906 (34.303)	Prec@5 68.750 (64.586)
Epoch: [19][10140/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 2.7678 (2.7591)	Prec@1 33.594 (34.303)	Prec@5 62.500 (64.586)
Epoch: [19][10150/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 3.0404 (2.7590)	Prec@1 26.562 (34.302)	Prec@5 60.156 (64.586)
Epoch: [19][10160/14090]	Time 0.773 (0.765)	Data 0.001 (0.001)	Loss 2.5508 (2.7590)	Prec@1 32.031 (34.302)	Prec@5 64.844 (64.586)
Epoch: [19][10170/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.7564 (2.7590)	Prec@1 35.938 (34.301)	Prec@5 61.719 (64.585)
Epoch: [19][10180/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 2.6870 (2.7590)	Prec@1 36.719 (34.302)	Prec@5 69.531 (64.585)
Epoch: [19][10190/14090]	Time 0.850 (0.765)	Data 0.001 (0.001)	Loss 2.8038 (2.7591)	Prec@1 34.375 (34.301)	Prec@5 63.281 (64.582)
Epoch: [19][10200/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.8622 (2.7591)	Prec@1 33.594 (34.302)	Prec@5 64.062 (64.583)
Epoch: [19][10210/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.6592 (2.7591)	Prec@1 34.375 (34.302)	Prec@5 67.188 (64.582)
Epoch: [19][10220/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.7192 (2.7592)	Prec@1 35.938 (34.302)	Prec@5 65.625 (64.582)
Epoch: [19][10230/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 2.7278 (2.7592)	Prec@1 34.375 (34.301)	Prec@5 62.500 (64.581)
Epoch: [19][10240/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.8642 (2.7592)	Prec@1 32.812 (34.302)	Prec@5 61.719 (64.581)
Epoch: [19][10250/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.9052 (2.7592)	Prec@1 30.469 (34.302)	Prec@5 60.938 (64.582)
Epoch: [19][10260/14090]	Time 0.840 (0.765)	Data 0.001 (0.001)	Loss 2.6050 (2.7591)	Prec@1 36.719 (34.303)	Prec@5 70.312 (64.583)
Epoch: [19][10270/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.7206 (2.7590)	Prec@1 34.375 (34.306)	Prec@5 67.969 (64.585)
Epoch: [19][10280/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.9480 (2.7591)	Prec@1 28.906 (34.306)	Prec@5 61.719 (64.586)
Epoch: [19][10290/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.7375 (2.7591)	Prec@1 33.594 (34.306)	Prec@5 64.062 (64.584)
Epoch: [19][10300/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.7656 (2.7590)	Prec@1 34.375 (34.307)	Prec@5 64.844 (64.585)
Epoch: [19][10310/14090]	Time 0.767 (0.765)	Data 0.001 (0.001)	Loss 2.8142 (2.7591)	Prec@1 36.719 (34.307)	Prec@5 66.406 (64.584)
Epoch: [19][10320/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.6637 (2.7590)	Prec@1 38.281 (34.309)	Prec@5 70.312 (64.586)
Epoch: [19][10330/14090]	Time 0.865 (0.765)	Data 0.001 (0.001)	Loss 2.9596 (2.7591)	Prec@1 33.594 (34.308)	Prec@5 64.062 (64.583)
Epoch: [19][10340/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.7825 (2.7591)	Prec@1 29.688 (34.307)	Prec@5 62.500 (64.581)
Epoch: [19][10350/14090]	Time 0.775 (0.765)	Data 0.001 (0.001)	Loss 2.7244 (2.7592)	Prec@1 39.844 (34.307)	Prec@5 67.969 (64.580)
Epoch: [19][10360/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.8822 (2.7592)	Prec@1 30.469 (34.307)	Prec@5 62.500 (64.579)
Epoch: [19][10370/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.6556 (2.7592)	Prec@1 36.719 (34.307)	Prec@5 67.969 (64.578)
Epoch: [19][10380/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.7266 (2.7592)	Prec@1 36.719 (34.307)	Prec@5 70.312 (64.579)
Epoch: [19][10390/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.9265 (2.7592)	Prec@1 33.594 (34.307)	Prec@5 64.062 (64.578)
Epoch: [19][10400/14090]	Time 0.854 (0.765)	Data 0.001 (0.001)	Loss 2.4305 (2.7592)	Prec@1 44.531 (34.307)	Prec@5 69.531 (64.579)
Epoch: [19][10410/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 3.1301 (2.7593)	Prec@1 32.812 (34.306)	Prec@5 57.812 (64.577)
Epoch: [19][10420/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.8708 (2.7592)	Prec@1 33.594 (34.308)	Prec@5 63.281 (64.578)
Epoch: [19][10430/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.6622 (2.7592)	Prec@1 29.688 (34.310)	Prec@5 65.625 (64.578)
Epoch: [19][10440/14090]	Time 0.722 (0.765)	Data 0.001 (0.001)	Loss 2.8317 (2.7591)	Prec@1 32.812 (34.309)	Prec@5 61.719 (64.579)
Epoch: [19][10450/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.9178 (2.7592)	Prec@1 32.812 (34.308)	Prec@5 54.688 (64.576)
Epoch: [19][10460/14090]	Time 0.768 (0.765)	Data 0.001 (0.001)	Loss 2.4584 (2.7591)	Prec@1 42.188 (34.309)	Prec@5 71.875 (64.577)
Epoch: [19][10470/14090]	Time 0.862 (0.765)	Data 0.001 (0.001)	Loss 2.4936 (2.7590)	Prec@1 39.844 (34.312)	Prec@5 74.219 (64.582)
Epoch: [19][10480/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.8188 (2.7589)	Prec@1 37.500 (34.311)	Prec@5 64.062 (64.582)
Epoch: [19][10490/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.8545 (2.7589)	Prec@1 28.906 (34.311)	Prec@5 64.062 (64.583)
Epoch: [19][10500/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.5668 (2.7588)	Prec@1 36.719 (34.312)	Prec@5 73.438 (64.584)
Epoch: [19][10510/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.5343 (2.7588)	Prec@1 40.625 (34.312)	Prec@5 67.969 (64.583)
Epoch: [19][10520/14090]	Time 0.767 (0.765)	Data 0.001 (0.001)	Loss 2.8415 (2.7588)	Prec@1 27.344 (34.312)	Prec@5 66.406 (64.586)
Epoch: [19][10530/14090]	Time 0.776 (0.765)	Data 0.001 (0.001)	Loss 3.0463 (2.7588)	Prec@1 30.469 (34.311)	Prec@5 61.719 (64.584)
Epoch: [19][10540/14090]	Time 0.852 (0.765)	Data 0.001 (0.001)	Loss 2.7592 (2.7588)	Prec@1 34.375 (34.311)	Prec@5 61.719 (64.585)
Epoch: [19][10550/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.5087 (2.7589)	Prec@1 37.500 (34.310)	Prec@5 67.969 (64.583)
Epoch: [19][10560/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.7352 (2.7589)	Prec@1 32.812 (34.310)	Prec@5 67.188 (64.584)
Epoch: [19][10570/14090]	Time 0.778 (0.765)	Data 0.001 (0.001)	Loss 2.8544 (2.7589)	Prec@1 29.688 (34.310)	Prec@5 64.062 (64.584)
Epoch: [19][10580/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.8426 (2.7589)	Prec@1 31.250 (34.310)	Prec@5 63.281 (64.583)
Epoch: [19][10590/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.4953 (2.7589)	Prec@1 42.188 (34.309)	Prec@5 68.750 (64.583)
Epoch: [19][10600/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.8060 (2.7589)	Prec@1 37.500 (34.307)	Prec@5 64.844 (64.583)
Epoch: [19][10610/14090]	Time 0.818 (0.765)	Data 0.001 (0.001)	Loss 2.8460 (2.7589)	Prec@1 35.156 (34.308)	Prec@5 69.531 (64.584)
Epoch: [19][10620/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.6570 (2.7589)	Prec@1 35.938 (34.308)	Prec@5 71.094 (64.584)
Epoch: [19][10630/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.8796 (2.7589)	Prec@1 28.906 (34.308)	Prec@5 60.938 (64.584)
Epoch: [19][10640/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.7934 (2.7589)	Prec@1 28.125 (34.309)	Prec@5 66.406 (64.584)
Epoch: [19][10650/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.9742 (2.7589)	Prec@1 33.594 (34.310)	Prec@5 60.938 (64.585)
Epoch: [19][10660/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 3.0663 (2.7589)	Prec@1 27.344 (34.309)	Prec@5 62.500 (64.585)
Epoch: [19][10670/14090]	Time 0.787 (0.765)	Data 0.001 (0.001)	Loss 2.5778 (2.7589)	Prec@1 37.500 (34.311)	Prec@5 65.625 (64.585)
Epoch: [19][10680/14090]	Time 0.871 (0.765)	Data 0.001 (0.001)	Loss 2.6359 (2.7590)	Prec@1 39.062 (34.308)	Prec@5 67.969 (64.584)
Epoch: [19][10690/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.7831 (2.7590)	Prec@1 34.375 (34.307)	Prec@5 66.406 (64.584)
Epoch: [19][10700/14090]	Time 0.769 (0.765)	Data 0.001 (0.001)	Loss 2.7365 (2.7590)	Prec@1 32.031 (34.309)	Prec@5 65.625 (64.586)
Epoch: [19][10710/14090]	Time 0.780 (0.765)	Data 0.001 (0.001)	Loss 2.4676 (2.7589)	Prec@1 40.625 (34.309)	Prec@5 71.094 (64.588)
Epoch: [19][10720/14090]	Time 0.781 (0.765)	Data 0.001 (0.001)	Loss 2.8873 (2.7589)	Prec@1 33.594 (34.310)	Prec@5 60.938 (64.588)
Epoch: [19][10730/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.8646 (2.7589)	Prec@1 33.594 (34.310)	Prec@5 61.719 (64.588)
Epoch: [19][10740/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 3.0128 (2.7589)	Prec@1 34.375 (34.309)	Prec@5 60.156 (64.587)
Epoch: [19][10750/14090]	Time 0.866 (0.765)	Data 0.001 (0.001)	Loss 2.5809 (2.7588)	Prec@1 34.375 (34.310)	Prec@5 70.312 (64.589)
Epoch: [19][10760/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.5268 (2.7589)	Prec@1 34.375 (34.311)	Prec@5 71.875 (64.590)
Epoch: [19][10770/14090]	Time 0.767 (0.765)	Data 0.001 (0.001)	Loss 2.8902 (2.7588)	Prec@1 27.344 (34.313)	Prec@5 60.156 (64.590)
Epoch: [19][10780/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.9568 (2.7589)	Prec@1 28.906 (34.312)	Prec@5 57.812 (64.588)
Epoch: [19][10790/14090]	Time 0.774 (0.765)	Data 0.001 (0.001)	Loss 2.6590 (2.7589)	Prec@1 42.188 (34.314)	Prec@5 71.875 (64.589)
Epoch: [19][10800/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.7657 (2.7589)	Prec@1 34.375 (34.313)	Prec@5 67.188 (64.589)
Epoch: [19][10810/14090]	Time 0.773 (0.765)	Data 0.001 (0.001)	Loss 2.3889 (2.7589)	Prec@1 41.406 (34.314)	Prec@5 74.219 (64.587)
Epoch: [19][10820/14090]	Time 0.837 (0.765)	Data 0.001 (0.001)	Loss 3.2610 (2.7590)	Prec@1 32.031 (34.315)	Prec@5 53.125 (64.586)
Epoch: [19][10830/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.4965 (2.7589)	Prec@1 39.844 (34.315)	Prec@5 73.438 (64.588)
Epoch: [19][10840/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.9834 (2.7590)	Prec@1 32.812 (34.315)	Prec@5 62.500 (64.588)
Epoch: [19][10850/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.9501 (2.7589)	Prec@1 30.469 (34.315)	Prec@5 65.625 (64.588)
Epoch: [19][10860/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.7890 (2.7589)	Prec@1 33.594 (34.315)	Prec@5 63.281 (64.589)
Epoch: [19][10870/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.3179 (2.7587)	Prec@1 45.312 (34.318)	Prec@5 71.875 (64.591)
Epoch: [19][10880/14090]	Time 0.769 (0.765)	Data 0.001 (0.001)	Loss 2.7748 (2.7588)	Prec@1 29.688 (34.315)	Prec@5 66.406 (64.590)
Epoch: [19][10890/14090]	Time 0.827 (0.765)	Data 0.001 (0.001)	Loss 2.9318 (2.7589)	Prec@1 32.812 (34.314)	Prec@5 60.938 (64.587)
Epoch: [19][10900/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.5280 (2.7589)	Prec@1 38.281 (34.314)	Prec@5 70.312 (64.586)
Epoch: [19][10910/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.4300 (2.7589)	Prec@1 42.188 (34.317)	Prec@5 73.438 (64.587)
Epoch: [19][10920/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.9457 (2.7589)	Prec@1 32.812 (34.316)	Prec@5 62.500 (64.587)
Epoch: [19][10930/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.7770 (2.7588)	Prec@1 34.375 (34.317)	Prec@5 67.188 (64.589)
Epoch: [19][10940/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.6025 (2.7586)	Prec@1 37.500 (34.320)	Prec@5 71.094 (64.593)
Epoch: [19][10950/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.6978 (2.7586)	Prec@1 38.281 (34.321)	Prec@5 69.531 (64.594)
Epoch: [19][10960/14090]	Time 0.871 (0.765)	Data 0.001 (0.001)	Loss 2.6738 (2.7586)	Prec@1 37.500 (34.320)	Prec@5 67.188 (64.594)
Epoch: [19][10970/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.5626 (2.7586)	Prec@1 37.500 (34.319)	Prec@5 67.188 (64.595)
Epoch: [19][10980/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.7374 (2.7585)	Prec@1 34.375 (34.319)	Prec@5 65.625 (64.596)
Epoch: [19][10990/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.8528 (2.7586)	Prec@1 29.688 (34.316)	Prec@5 63.281 (64.594)
Epoch: [19][11000/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.5639 (2.7587)	Prec@1 33.594 (34.314)	Prec@5 67.969 (64.592)
Epoch: [19][11010/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.6294 (2.7586)	Prec@1 38.281 (34.314)	Prec@5 69.531 (64.594)
Epoch: [19][11020/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.9360 (2.7587)	Prec@1 32.031 (34.312)	Prec@5 60.156 (64.592)
Epoch: [19][11030/14090]	Time 0.862 (0.765)	Data 0.001 (0.001)	Loss 3.1273 (2.7588)	Prec@1 35.938 (34.311)	Prec@5 55.469 (64.589)
Epoch: [19][11040/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.8038 (2.7588)	Prec@1 36.719 (34.311)	Prec@5 61.719 (64.588)
Epoch: [19][11050/14090]	Time 0.776 (0.765)	Data 0.001 (0.001)	Loss 2.7740 (2.7588)	Prec@1 35.156 (34.311)	Prec@5 66.406 (64.587)
Epoch: [19][11060/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.6700 (2.7588)	Prec@1 35.156 (34.311)	Prec@5 64.062 (64.588)
Epoch: [19][11070/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.7350 (2.7588)	Prec@1 31.250 (34.313)	Prec@5 60.938 (64.589)
Epoch: [19][11080/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.9890 (2.7588)	Prec@1 28.125 (34.310)	Prec@5 61.719 (64.587)
Epoch: [19][11090/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 2.9227 (2.7589)	Prec@1 32.031 (34.310)	Prec@5 61.719 (64.587)
Epoch: [19][11100/14090]	Time 0.848 (0.765)	Data 0.001 (0.001)	Loss 2.3527 (2.7589)	Prec@1 39.844 (34.309)	Prec@5 75.781 (64.589)
Epoch: [19][11110/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.6965 (2.7590)	Prec@1 35.156 (34.309)	Prec@5 69.531 (64.588)
Epoch: [19][11120/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 3.0875 (2.7590)	Prec@1 29.688 (34.308)	Prec@5 59.375 (64.587)
Epoch: [19][11130/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.9407 (2.7590)	Prec@1 32.812 (34.307)	Prec@5 63.281 (64.587)
Epoch: [19][11140/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 3.1136 (2.7591)	Prec@1 26.562 (34.305)	Prec@5 60.938 (64.586)
Epoch: [19][11150/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.6983 (2.7591)	Prec@1 32.812 (34.304)	Prec@5 66.406 (64.584)
Epoch: [19][11160/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.8683 (2.7591)	Prec@1 31.250 (34.303)	Prec@5 62.500 (64.584)
Epoch: [19][11170/14090]	Time 0.860 (0.765)	Data 0.001 (0.001)	Loss 3.1528 (2.7591)	Prec@1 28.125 (34.303)	Prec@5 54.688 (64.581)
Epoch: [19][11180/14090]	Time 0.770 (0.765)	Data 0.001 (0.001)	Loss 2.8374 (2.7591)	Prec@1 32.031 (34.303)	Prec@5 70.312 (64.582)
Epoch: [19][11190/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.9751 (2.7592)	Prec@1 31.250 (34.303)	Prec@5 59.375 (64.582)
Epoch: [19][11200/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.6448 (2.7592)	Prec@1 29.688 (34.301)	Prec@5 67.188 (64.580)
Epoch: [19][11210/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.6945 (2.7593)	Prec@1 36.719 (34.301)	Prec@5 64.844 (64.578)
Epoch: [19][11220/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.6998 (2.7592)	Prec@1 36.719 (34.304)	Prec@5 62.500 (64.581)
Epoch: [19][11230/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.7606 (2.7592)	Prec@1 35.156 (34.304)	Prec@5 59.375 (64.581)
Epoch: [19][11240/14090]	Time 0.824 (0.765)	Data 0.001 (0.001)	Loss 2.8134 (2.7592)	Prec@1 31.250 (34.304)	Prec@5 60.938 (64.581)
Epoch: [19][11250/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.4643 (2.7591)	Prec@1 36.719 (34.304)	Prec@5 67.188 (64.583)
Epoch: [19][11260/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.9667 (2.7592)	Prec@1 32.031 (34.301)	Prec@5 59.375 (64.580)
Epoch: [19][11270/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.8130 (2.7593)	Prec@1 28.906 (34.300)	Prec@5 64.062 (64.578)
Epoch: [19][11280/14090]	Time 0.775 (0.765)	Data 0.001 (0.001)	Loss 2.5702 (2.7593)	Prec@1 35.156 (34.299)	Prec@5 71.875 (64.579)
Epoch: [19][11290/14090]	Time 0.768 (0.765)	Data 0.001 (0.001)	Loss 2.8963 (2.7593)	Prec@1 32.812 (34.299)	Prec@5 56.250 (64.576)
Epoch: [19][11300/14090]	Time 0.775 (0.765)	Data 0.001 (0.001)	Loss 3.0266 (2.7594)	Prec@1 28.125 (34.299)	Prec@5 57.031 (64.576)
Epoch: [19][11310/14090]	Time 0.874 (0.765)	Data 0.001 (0.001)	Loss 3.0669 (2.7595)	Prec@1 34.375 (34.298)	Prec@5 59.375 (64.575)
Epoch: [19][11320/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 3.0027 (2.7595)	Prec@1 32.031 (34.298)	Prec@5 58.594 (64.576)
Epoch: [19][11330/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.5566 (2.7594)	Prec@1 39.062 (34.299)	Prec@5 67.969 (64.577)
Epoch: [19][11340/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.6902 (2.7594)	Prec@1 35.938 (34.299)	Prec@5 65.625 (64.578)
Epoch: [19][11350/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.7349 (2.7594)	Prec@1 29.688 (34.299)	Prec@5 67.969 (64.577)
Epoch: [19][11360/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.6433 (2.7594)	Prec@1 32.812 (34.299)	Prec@5 66.406 (64.578)
Epoch: [19][11370/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.8353 (2.7595)	Prec@1 35.938 (34.300)	Prec@5 64.062 (64.577)
Epoch: [19][11380/14090]	Time 0.887 (0.765)	Data 0.001 (0.001)	Loss 2.5088 (2.7595)	Prec@1 42.969 (34.301)	Prec@5 69.531 (64.578)
Epoch: [19][11390/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.9814 (2.7595)	Prec@1 23.438 (34.300)	Prec@5 60.938 (64.577)
Epoch: [19][11400/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.8224 (2.7595)	Prec@1 35.156 (34.298)	Prec@5 62.500 (64.575)
Epoch: [19][11410/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.8567 (2.7595)	Prec@1 38.281 (34.299)	Prec@5 64.062 (64.576)
Epoch: [19][11420/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.7424 (2.7596)	Prec@1 33.594 (34.297)	Prec@5 65.625 (64.574)
Epoch: [19][11430/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.6594 (2.7597)	Prec@1 35.938 (34.296)	Prec@5 68.750 (64.574)
Epoch: [19][11440/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.6955 (2.7597)	Prec@1 35.938 (34.295)	Prec@5 64.844 (64.574)
Epoch: [19][11450/14090]	Time 0.841 (0.765)	Data 0.001 (0.001)	Loss 2.6502 (2.7597)	Prec@1 33.594 (34.296)	Prec@5 67.188 (64.572)
Epoch: [19][11460/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.6598 (2.7597)	Prec@1 36.719 (34.297)	Prec@5 71.094 (64.573)
Epoch: [19][11470/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.7229 (2.7597)	Prec@1 35.938 (34.297)	Prec@5 63.281 (64.573)
Epoch: [19][11480/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.9262 (2.7598)	Prec@1 30.469 (34.297)	Prec@5 59.375 (64.571)
Epoch: [19][11490/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.7488 (2.7598)	Prec@1 36.719 (34.297)	Prec@5 62.500 (64.572)
Epoch: [19][11500/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.4615 (2.7597)	Prec@1 39.844 (34.297)	Prec@5 67.188 (64.573)
Epoch: [19][11510/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.5943 (2.7598)	Prec@1 37.500 (34.296)	Prec@5 67.969 (64.571)
Epoch: [19][11520/14090]	Time 0.877 (0.765)	Data 0.001 (0.001)	Loss 2.6109 (2.7597)	Prec@1 34.375 (34.297)	Prec@5 67.969 (64.574)
Epoch: [19][11530/14090]	Time 0.767 (0.765)	Data 0.001 (0.001)	Loss 2.8132 (2.7596)	Prec@1 33.594 (34.298)	Prec@5 65.625 (64.576)
Epoch: [19][11540/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.7948 (2.7596)	Prec@1 39.062 (34.300)	Prec@5 61.719 (64.576)
Epoch: [19][11550/14090]	Time 0.786 (0.765)	Data 0.001 (0.001)	Loss 2.7792 (2.7597)	Prec@1 35.156 (34.298)	Prec@5 62.500 (64.574)
Epoch: [19][11560/14090]	Time 0.770 (0.765)	Data 0.001 (0.001)	Loss 2.7107 (2.7596)	Prec@1 32.812 (34.298)	Prec@5 62.500 (64.575)
Epoch: [19][11570/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.8759 (2.7597)	Prec@1 32.812 (34.297)	Prec@5 63.281 (64.573)
Epoch: [19][11580/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.2154 (2.7596)	Prec@1 39.062 (34.299)	Prec@5 75.000 (64.575)
Epoch: [19][11590/14090]	Time 0.889 (0.765)	Data 0.001 (0.001)	Loss 2.6955 (2.7596)	Prec@1 34.375 (34.298)	Prec@5 67.969 (64.575)
Epoch: [19][11600/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 3.0675 (2.7597)	Prec@1 25.000 (34.298)	Prec@5 57.812 (64.575)
Epoch: [19][11610/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.6551 (2.7597)	Prec@1 36.719 (34.299)	Prec@5 68.750 (64.576)
Epoch: [19][11620/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.8044 (2.7597)	Prec@1 31.250 (34.298)	Prec@5 64.062 (64.577)
Epoch: [19][11630/14090]	Time 0.782 (0.765)	Data 0.001 (0.001)	Loss 2.9062 (2.7597)	Prec@1 28.906 (34.298)	Prec@5 63.281 (64.577)
Epoch: [19][11640/14090]	Time 0.770 (0.765)	Data 0.001 (0.001)	Loss 2.8409 (2.7597)	Prec@1 32.812 (34.297)	Prec@5 60.938 (64.577)
Epoch: [19][11650/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 2.6857 (2.7597)	Prec@1 28.125 (34.296)	Prec@5 66.406 (64.575)
Epoch: [19][11660/14090]	Time 0.921 (0.765)	Data 0.001 (0.001)	Loss 2.8265 (2.7598)	Prec@1 34.375 (34.296)	Prec@5 67.188 (64.575)
Epoch: [19][11670/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.8968 (2.7598)	Prec@1 31.250 (34.296)	Prec@5 61.719 (64.574)
Epoch: [19][11680/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.8408 (2.7597)	Prec@1 35.156 (34.298)	Prec@5 63.281 (64.574)
Epoch: [19][11690/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.9148 (2.7598)	Prec@1 30.469 (34.296)	Prec@5 62.500 (64.573)
Epoch: [19][11700/14090]	Time 0.736 (0.765)	Data 0.004 (0.001)	Loss 2.7025 (2.7598)	Prec@1 36.719 (34.295)	Prec@5 64.844 (64.573)
Epoch: [19][11710/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.5639 (2.7598)	Prec@1 42.969 (34.296)	Prec@5 64.844 (64.571)
Epoch: [19][11720/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.8953 (2.7599)	Prec@1 32.812 (34.295)	Prec@5 61.719 (64.570)
Epoch: [19][11730/14090]	Time 0.841 (0.765)	Data 0.001 (0.001)	Loss 2.8599 (2.7600)	Prec@1 30.469 (34.293)	Prec@5 60.156 (64.568)
Epoch: [19][11740/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.5544 (2.7600)	Prec@1 38.281 (34.293)	Prec@5 70.312 (64.566)
Epoch: [19][11750/14090]	Time 0.781 (0.765)	Data 0.001 (0.001)	Loss 2.6633 (2.7600)	Prec@1 35.938 (34.293)	Prec@5 68.750 (64.567)
Epoch: [19][11760/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 3.2399 (2.7601)	Prec@1 28.125 (34.291)	Prec@5 56.250 (64.566)
Epoch: [19][11770/14090]	Time 0.774 (0.765)	Data 0.001 (0.001)	Loss 2.5846 (2.7602)	Prec@1 39.844 (34.290)	Prec@5 68.750 (64.565)
Epoch: [19][11780/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.8225 (2.7602)	Prec@1 31.250 (34.290)	Prec@5 60.156 (64.564)
Epoch: [19][11790/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.6612 (2.7601)	Prec@1 28.906 (34.289)	Prec@5 70.312 (64.564)
Epoch: [19][11800/14090]	Time 0.894 (0.765)	Data 0.001 (0.001)	Loss 2.6734 (2.7601)	Prec@1 38.281 (34.290)	Prec@5 64.062 (64.564)
Epoch: [19][11810/14090]	Time 0.770 (0.765)	Data 0.001 (0.001)	Loss 2.8673 (2.7601)	Prec@1 36.719 (34.292)	Prec@5 59.375 (64.565)
Epoch: [19][11820/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.9751 (2.7601)	Prec@1 32.812 (34.290)	Prec@5 58.594 (64.564)
Epoch: [19][11830/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.3147 (2.7601)	Prec@1 43.750 (34.290)	Prec@5 73.438 (64.564)
Epoch: [19][11840/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 3.0576 (2.7602)	Prec@1 28.906 (34.288)	Prec@5 60.156 (64.561)
Epoch: [19][11850/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.9355 (2.7603)	Prec@1 30.469 (34.288)	Prec@5 53.906 (64.561)
Epoch: [19][11860/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.6873 (2.7602)	Prec@1 36.719 (34.289)	Prec@5 67.188 (64.563)
Epoch: [19][11870/14090]	Time 0.852 (0.765)	Data 0.001 (0.001)	Loss 2.6797 (2.7602)	Prec@1 32.031 (34.289)	Prec@5 67.969 (64.562)
Epoch: [19][11880/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 3.0830 (2.7603)	Prec@1 20.312 (34.287)	Prec@5 57.031 (64.561)
Epoch: [19][11890/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.6504 (2.7602)	Prec@1 28.906 (34.287)	Prec@5 65.625 (64.562)
Epoch: [19][11900/14090]	Time 0.766 (0.765)	Data 0.001 (0.001)	Loss 2.6576 (2.7602)	Prec@1 33.594 (34.287)	Prec@5 64.844 (64.563)
Epoch: [19][11910/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 2.7386 (2.7602)	Prec@1 35.938 (34.288)	Prec@5 64.062 (64.564)
Epoch: [19][11920/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.8807 (2.7602)	Prec@1 28.906 (34.289)	Prec@5 63.281 (64.564)
Epoch: [19][11930/14090]	Time 0.783 (0.765)	Data 0.001 (0.001)	Loss 2.3647 (2.7601)	Prec@1 45.312 (34.291)	Prec@5 71.094 (64.566)
Epoch: [19][11940/14090]	Time 0.861 (0.765)	Data 0.001 (0.001)	Loss 2.4977 (2.7601)	Prec@1 39.844 (34.291)	Prec@5 71.875 (64.566)
Epoch: [19][11950/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.8946 (2.7601)	Prec@1 31.250 (34.291)	Prec@5 56.250 (64.564)
Epoch: [19][11960/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 2.4968 (2.7601)	Prec@1 30.469 (34.290)	Prec@5 67.969 (64.566)
Epoch: [19][11970/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.6976 (2.7601)	Prec@1 34.375 (34.290)	Prec@5 64.844 (64.566)
Epoch: [19][11980/14090]	Time 0.781 (0.765)	Data 0.001 (0.001)	Loss 2.6233 (2.7600)	Prec@1 32.812 (34.291)	Prec@5 62.500 (64.566)
Epoch: [19][11990/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.7228 (2.7601)	Prec@1 35.156 (34.289)	Prec@5 64.844 (64.565)
Epoch: [19][12000/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.9639 (2.7601)	Prec@1 32.031 (34.287)	Prec@5 59.375 (64.564)
Epoch: [19][12010/14090]	Time 0.865 (0.765)	Data 0.001 (0.001)	Loss 2.7511 (2.7601)	Prec@1 38.281 (34.287)	Prec@5 66.406 (64.564)
Epoch: [19][12020/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.8714 (2.7602)	Prec@1 25.781 (34.284)	Prec@5 63.281 (64.562)
Epoch: [19][12030/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.7999 (2.7601)	Prec@1 32.031 (34.286)	Prec@5 64.062 (64.564)
Epoch: [19][12040/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.7360 (2.7602)	Prec@1 33.594 (34.283)	Prec@5 66.406 (64.563)
Epoch: [19][12050/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.5641 (2.7601)	Prec@1 36.719 (34.283)	Prec@5 67.188 (64.564)
Epoch: [19][12060/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.9577 (2.7601)	Prec@1 27.344 (34.284)	Prec@5 62.500 (64.564)
Epoch: [19][12070/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.9778 (2.7601)	Prec@1 25.781 (34.284)	Prec@5 64.844 (64.564)
Epoch: [19][12080/14090]	Time 0.853 (0.765)	Data 0.001 (0.001)	Loss 2.8314 (2.7600)	Prec@1 32.031 (34.286)	Prec@5 60.938 (64.565)
Epoch: [19][12090/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 3.1588 (2.7601)	Prec@1 28.125 (34.285)	Prec@5 58.594 (64.564)
Epoch: [19][12100/14090]	Time 0.781 (0.765)	Data 0.001 (0.001)	Loss 2.7979 (2.7601)	Prec@1 32.812 (34.285)	Prec@5 60.938 (64.565)
Epoch: [19][12110/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.7926 (2.7601)	Prec@1 30.469 (34.285)	Prec@5 60.938 (64.566)
Epoch: [19][12120/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 3.0422 (2.7601)	Prec@1 29.688 (34.284)	Prec@5 58.594 (64.565)
Epoch: [19][12130/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.6908 (2.7601)	Prec@1 32.031 (34.283)	Prec@5 63.281 (64.564)
Epoch: [19][12140/14090]	Time 0.721 (0.765)	Data 0.001 (0.001)	Loss 2.8371 (2.7601)	Prec@1 28.125 (34.283)	Prec@5 67.188 (64.565)
Epoch: [19][12150/14090]	Time 0.858 (0.765)	Data 0.001 (0.001)	Loss 3.0515 (2.7601)	Prec@1 29.688 (34.282)	Prec@5 61.719 (64.564)
Epoch: [19][12160/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 2.7341 (2.7601)	Prec@1 37.500 (34.283)	Prec@5 64.062 (64.563)
Epoch: [19][12170/14090]	Time 0.719 (0.765)	Data 0.001 (0.001)	Loss 2.8290 (2.7601)	Prec@1 33.594 (34.283)	Prec@5 62.500 (64.564)
Epoch: [19][12180/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.7933 (2.7601)	Prec@1 35.156 (34.283)	Prec@5 63.281 (64.562)
Epoch: [19][12190/14090]	Time 0.776 (0.765)	Data 0.001 (0.001)	Loss 2.9880 (2.7601)	Prec@1 25.781 (34.282)	Prec@5 60.938 (64.562)
Epoch: [19][12200/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.7961 (2.7601)	Prec@1 34.375 (34.282)	Prec@5 61.719 (64.562)
Epoch: [19][12210/14090]	Time 0.775 (0.765)	Data 0.001 (0.001)	Loss 2.9094 (2.7601)	Prec@1 35.156 (34.282)	Prec@5 61.719 (64.561)
Epoch: [19][12220/14090]	Time 0.879 (0.765)	Data 0.001 (0.001)	Loss 2.7407 (2.7601)	Prec@1 42.188 (34.279)	Prec@5 64.062 (64.562)
Epoch: [19][12230/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.8504 (2.7600)	Prec@1 26.562 (34.281)	Prec@5 64.844 (64.563)
Epoch: [19][12240/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.7985 (2.7600)	Prec@1 40.625 (34.282)	Prec@5 64.062 (64.563)
Epoch: [19][12250/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.8451 (2.7601)	Prec@1 28.906 (34.278)	Prec@5 65.625 (64.562)
Epoch: [19][12260/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.7057 (2.7601)	Prec@1 31.250 (34.278)	Prec@5 64.844 (64.563)
Epoch: [19][12270/14090]	Time 0.769 (0.765)	Data 0.001 (0.001)	Loss 2.8101 (2.7601)	Prec@1 30.469 (34.279)	Prec@5 65.625 (64.562)
Epoch: [19][12280/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.9071 (2.7600)	Prec@1 28.906 (34.280)	Prec@5 57.812 (64.562)
Epoch: [19][12290/14090]	Time 0.868 (0.765)	Data 0.001 (0.001)	Loss 2.8545 (2.7600)	Prec@1 32.031 (34.281)	Prec@5 60.938 (64.561)
Epoch: [19][12300/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.8610 (2.7601)	Prec@1 30.469 (34.280)	Prec@5 65.625 (64.560)
Epoch: [19][12310/14090]	Time 0.719 (0.765)	Data 0.001 (0.001)	Loss 2.5556 (2.7601)	Prec@1 38.281 (34.280)	Prec@5 67.188 (64.561)
Epoch: [19][12320/14090]	Time 0.772 (0.765)	Data 0.001 (0.001)	Loss 2.9277 (2.7600)	Prec@1 33.594 (34.282)	Prec@5 58.594 (64.561)
Epoch: [19][12330/14090]	Time 0.767 (0.765)	Data 0.001 (0.001)	Loss 3.0328 (2.7601)	Prec@1 31.250 (34.281)	Prec@5 58.594 (64.560)
Epoch: [19][12340/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.8395 (2.7601)	Prec@1 30.469 (34.279)	Prec@5 60.156 (64.559)
Epoch: [19][12350/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.3405 (2.7601)	Prec@1 45.312 (34.281)	Prec@5 71.875 (64.559)
Epoch: [19][12360/14090]	Time 0.845 (0.765)	Data 0.001 (0.001)	Loss 2.8072 (2.7602)	Prec@1 33.594 (34.282)	Prec@5 60.938 (64.558)
Epoch: [19][12370/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.8731 (2.7602)	Prec@1 28.906 (34.280)	Prec@5 60.938 (64.557)
Epoch: [19][12380/14090]	Time 0.734 (0.765)	Data 0.002 (0.001)	Loss 2.6367 (2.7602)	Prec@1 39.844 (34.280)	Prec@5 68.750 (64.558)
Epoch: [19][12390/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.9924 (2.7602)	Prec@1 28.125 (34.279)	Prec@5 59.375 (64.559)
Epoch: [19][12400/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.9317 (2.7602)	Prec@1 34.375 (34.279)	Prec@5 59.375 (64.558)
Epoch: [19][12410/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.7770 (2.7602)	Prec@1 31.250 (34.277)	Prec@5 67.969 (64.558)
Epoch: [19][12420/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.8963 (2.7602)	Prec@1 31.250 (34.279)	Prec@5 58.594 (64.558)
Epoch: [19][12430/14090]	Time 0.880 (0.765)	Data 0.001 (0.001)	Loss 2.6553 (2.7602)	Prec@1 33.594 (34.279)	Prec@5 67.969 (64.558)
Epoch: [19][12440/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.7571 (2.7602)	Prec@1 28.906 (34.278)	Prec@5 60.938 (64.558)
Epoch: [19][12450/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.5688 (2.7601)	Prec@1 35.156 (34.278)	Prec@5 65.625 (64.558)
Epoch: [19][12460/14090]	Time 0.774 (0.765)	Data 0.004 (0.001)	Loss 3.0211 (2.7601)	Prec@1 32.031 (34.279)	Prec@5 61.719 (64.558)
Epoch: [19][12470/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 2.6994 (2.7600)	Prec@1 32.812 (34.279)	Prec@5 65.625 (64.560)
Epoch: [19][12480/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.7383 (2.7599)	Prec@1 36.719 (34.282)	Prec@5 67.188 (64.562)
Epoch: [19][12490/14090]	Time 0.769 (0.765)	Data 0.001 (0.001)	Loss 2.9641 (2.7599)	Prec@1 31.250 (34.282)	Prec@5 62.500 (64.562)
Epoch: [19][12500/14090]	Time 0.851 (0.765)	Data 0.001 (0.001)	Loss 2.7979 (2.7599)	Prec@1 27.344 (34.282)	Prec@5 61.719 (64.562)
Epoch: [19][12510/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.8244 (2.7599)	Prec@1 33.594 (34.282)	Prec@5 61.719 (64.563)
Epoch: [19][12520/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.7190 (2.7599)	Prec@1 31.250 (34.281)	Prec@5 68.750 (64.563)
Epoch: [19][12530/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 3.0488 (2.7599)	Prec@1 29.688 (34.281)	Prec@5 57.812 (64.563)
Epoch: [19][12540/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.6210 (2.7598)	Prec@1 36.719 (34.283)	Prec@5 69.531 (64.564)
Epoch: [19][12550/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.4693 (2.7598)	Prec@1 39.062 (34.283)	Prec@5 70.312 (64.564)
Epoch: [19][12560/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.5973 (2.7598)	Prec@1 41.406 (34.283)	Prec@5 69.531 (64.565)
Epoch: [19][12570/14090]	Time 0.875 (0.765)	Data 0.001 (0.001)	Loss 2.7145 (2.7598)	Prec@1 29.688 (34.283)	Prec@5 62.500 (64.565)
Epoch: [19][12580/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.9737 (2.7598)	Prec@1 31.250 (34.283)	Prec@5 60.156 (64.564)
Epoch: [19][12590/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.7270 (2.7598)	Prec@1 38.281 (34.283)	Prec@5 65.625 (64.564)
Epoch: [19][12600/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.7714 (2.7599)	Prec@1 32.812 (34.282)	Prec@5 62.500 (64.562)
Epoch: [19][12610/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.6947 (2.7600)	Prec@1 34.375 (34.280)	Prec@5 64.062 (64.561)
Epoch: [19][12620/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.6360 (2.7600)	Prec@1 33.594 (34.280)	Prec@5 69.531 (64.561)
Epoch: [19][12630/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.5343 (2.7600)	Prec@1 39.844 (34.281)	Prec@5 66.406 (64.560)
Epoch: [19][12640/14090]	Time 0.870 (0.765)	Data 0.001 (0.001)	Loss 2.4723 (2.7600)	Prec@1 40.625 (34.281)	Prec@5 71.875 (64.560)
Epoch: [19][12650/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.8697 (2.7601)	Prec@1 32.031 (34.279)	Prec@5 63.281 (64.558)
Epoch: [19][12660/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.8021 (2.7601)	Prec@1 33.594 (34.277)	Prec@5 68.750 (64.558)
Epoch: [19][12670/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.5036 (2.7601)	Prec@1 45.312 (34.277)	Prec@5 67.969 (64.558)
Epoch: [19][12680/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.9623 (2.7601)	Prec@1 27.344 (34.277)	Prec@5 58.594 (64.557)
Epoch: [19][12690/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.9183 (2.7602)	Prec@1 34.375 (34.278)	Prec@5 59.375 (64.555)
Epoch: [19][12700/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.9131 (2.7602)	Prec@1 35.156 (34.277)	Prec@5 63.281 (64.555)
Epoch: [19][12710/14090]	Time 0.839 (0.765)	Data 0.001 (0.001)	Loss 2.5777 (2.7602)	Prec@1 41.406 (34.277)	Prec@5 69.531 (64.556)
Epoch: [19][12720/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 3.0074 (2.7602)	Prec@1 30.469 (34.277)	Prec@5 56.250 (64.555)
Epoch: [19][12730/14090]	Time 0.778 (0.765)	Data 0.001 (0.001)	Loss 2.9643 (2.7603)	Prec@1 39.844 (34.277)	Prec@5 57.031 (64.553)
Epoch: [19][12740/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.8009 (2.7603)	Prec@1 29.688 (34.277)	Prec@5 62.500 (64.554)
Epoch: [19][12750/14090]	Time 0.787 (0.765)	Data 0.001 (0.001)	Loss 2.8615 (2.7603)	Prec@1 33.594 (34.276)	Prec@5 63.281 (64.553)
Epoch: [19][12760/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.5693 (2.7603)	Prec@1 36.719 (34.277)	Prec@5 70.312 (64.554)
Epoch: [19][12770/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.7295 (2.7603)	Prec@1 31.250 (34.277)	Prec@5 69.531 (64.553)
Epoch: [19][12780/14090]	Time 0.840 (0.765)	Data 0.001 (0.001)	Loss 2.8068 (2.7602)	Prec@1 29.688 (34.278)	Prec@5 60.156 (64.554)
Epoch: [19][12790/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.7538 (2.7603)	Prec@1 33.594 (34.276)	Prec@5 65.625 (64.552)
Epoch: [19][12800/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.6718 (2.7602)	Prec@1 35.938 (34.277)	Prec@5 66.406 (64.553)
Epoch: [19][12810/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.6324 (2.7601)	Prec@1 32.812 (34.279)	Prec@5 64.062 (64.555)
Epoch: [19][12820/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.5608 (2.7601)	Prec@1 36.719 (34.280)	Prec@5 69.531 (64.556)
Epoch: [19][12830/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.8634 (2.7601)	Prec@1 33.594 (34.278)	Prec@5 64.844 (64.557)
Epoch: [19][12840/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.7744 (2.7602)	Prec@1 37.500 (34.277)	Prec@5 64.062 (64.555)
Epoch: [19][12850/14090]	Time 0.845 (0.765)	Data 0.001 (0.001)	Loss 2.5639 (2.7602)	Prec@1 41.406 (34.278)	Prec@5 70.312 (64.555)
Epoch: [19][12860/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.7359 (2.7602)	Prec@1 35.156 (34.276)	Prec@5 62.500 (64.555)
Epoch: [19][12870/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.8084 (2.7602)	Prec@1 32.031 (34.277)	Prec@5 64.844 (64.553)
Epoch: [19][12880/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.7097 (2.7603)	Prec@1 32.031 (34.276)	Prec@5 67.188 (64.552)
Epoch: [19][12890/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.6143 (2.7603)	Prec@1 37.500 (34.277)	Prec@5 65.625 (64.552)
Epoch: [19][12900/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.9492 (2.7603)	Prec@1 34.375 (34.276)	Prec@5 63.281 (64.552)
Epoch: [19][12910/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.6841 (2.7603)	Prec@1 35.156 (34.278)	Prec@5 65.625 (64.552)
Epoch: [19][12920/14090]	Time 0.868 (0.765)	Data 0.001 (0.001)	Loss 2.7372 (2.7603)	Prec@1 35.938 (34.277)	Prec@5 67.188 (64.552)
Epoch: [19][12930/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.9507 (2.7603)	Prec@1 25.781 (34.277)	Prec@5 57.031 (64.552)
Epoch: [19][12940/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.8067 (2.7603)	Prec@1 33.594 (34.277)	Prec@5 65.625 (64.552)
Epoch: [19][12950/14090]	Time 0.776 (0.765)	Data 0.001 (0.001)	Loss 2.5158 (2.7602)	Prec@1 42.188 (34.279)	Prec@5 65.625 (64.554)
Epoch: [19][12960/14090]	Time 0.770 (0.765)	Data 0.001 (0.001)	Loss 2.6251 (2.7601)	Prec@1 37.500 (34.280)	Prec@5 67.969 (64.553)
Epoch: [19][12970/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.8894 (2.7602)	Prec@1 35.938 (34.280)	Prec@5 64.062 (64.553)
Epoch: [19][12980/14090]	Time 0.779 (0.765)	Data 0.001 (0.001)	Loss 2.5747 (2.7602)	Prec@1 38.281 (34.281)	Prec@5 67.969 (64.553)
Epoch: [19][12990/14090]	Time 0.861 (0.765)	Data 0.001 (0.001)	Loss 2.8731 (2.7601)	Prec@1 34.375 (34.281)	Prec@5 60.156 (64.554)
Epoch: [19][13000/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.8692 (2.7602)	Prec@1 29.688 (34.281)	Prec@5 59.375 (64.552)
Epoch: [19][13010/14090]	Time 0.768 (0.765)	Data 0.001 (0.001)	Loss 2.9272 (2.7602)	Prec@1 32.812 (34.280)	Prec@5 60.156 (64.552)
Epoch: [19][13020/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.7090 (2.7602)	Prec@1 32.812 (34.280)	Prec@5 69.531 (64.552)
Epoch: [19][13030/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.6380 (2.7603)	Prec@1 42.188 (34.279)	Prec@5 63.281 (64.551)
Epoch: [19][13040/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.7460 (2.7602)	Prec@1 32.812 (34.281)	Prec@5 64.062 (64.553)
Epoch: [19][13050/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.6551 (2.7603)	Prec@1 35.938 (34.279)	Prec@5 67.188 (64.550)
Epoch: [19][13060/14090]	Time 0.867 (0.765)	Data 0.001 (0.001)	Loss 2.5052 (2.7603)	Prec@1 39.844 (34.279)	Prec@5 66.406 (64.550)
Epoch: [19][13070/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.7620 (2.7603)	Prec@1 32.812 (34.280)	Prec@5 64.844 (64.551)
Epoch: [19][13080/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.7410 (2.7602)	Prec@1 32.812 (34.281)	Prec@5 64.844 (64.552)
Epoch: [19][13090/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.7245 (2.7602)	Prec@1 34.375 (34.281)	Prec@5 67.188 (64.553)
Epoch: [19][13100/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.6695 (2.7601)	Prec@1 34.375 (34.281)	Prec@5 67.188 (64.554)
Epoch: [19][13110/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.8871 (2.7602)	Prec@1 35.938 (34.280)	Prec@5 61.719 (64.553)
Epoch: [19][13120/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.8059 (2.7602)	Prec@1 31.250 (34.280)	Prec@5 63.281 (64.553)
Epoch: [19][13130/14090]	Time 0.844 (0.765)	Data 0.001 (0.001)	Loss 2.7712 (2.7602)	Prec@1 37.500 (34.279)	Prec@5 62.500 (64.552)
Epoch: [19][13140/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.5899 (2.7602)	Prec@1 39.062 (34.279)	Prec@5 69.531 (64.552)
Epoch: [19][13150/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 2.6961 (2.7602)	Prec@1 36.719 (34.279)	Prec@5 66.406 (64.552)
Epoch: [19][13160/14090]	Time 0.775 (0.765)	Data 0.001 (0.001)	Loss 2.6832 (2.7603)	Prec@1 35.938 (34.277)	Prec@5 64.844 (64.551)
Epoch: [19][13170/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.7507 (2.7602)	Prec@1 31.250 (34.277)	Prec@5 63.281 (64.551)
Epoch: [19][13180/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.9382 (2.7603)	Prec@1 32.031 (34.276)	Prec@5 59.375 (64.550)
Epoch: [19][13190/14090]	Time 0.783 (0.765)	Data 0.001 (0.001)	Loss 2.5820 (2.7602)	Prec@1 39.844 (34.277)	Prec@5 66.406 (64.551)
Epoch: [19][13200/14090]	Time 0.845 (0.765)	Data 0.001 (0.001)	Loss 2.4707 (2.7602)	Prec@1 35.938 (34.277)	Prec@5 69.531 (64.551)
Epoch: [19][13210/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.7602 (2.7602)	Prec@1 35.938 (34.277)	Prec@5 64.844 (64.551)
Epoch: [19][13220/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.6311 (2.7602)	Prec@1 33.594 (34.277)	Prec@5 64.062 (64.552)
Epoch: [19][13230/14090]	Time 0.768 (0.765)	Data 0.001 (0.001)	Loss 2.6164 (2.7602)	Prec@1 39.062 (34.277)	Prec@5 68.750 (64.552)
Epoch: [19][13240/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.8446 (2.7603)	Prec@1 33.594 (34.275)	Prec@5 60.156 (64.551)
Epoch: [19][13250/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.4855 (2.7603)	Prec@1 39.844 (34.275)	Prec@5 70.312 (64.551)
Epoch: [19][13260/14090]	Time 0.798 (0.765)	Data 0.001 (0.001)	Loss 2.7056 (2.7603)	Prec@1 29.688 (34.275)	Prec@5 66.406 (64.552)
Epoch: [19][13270/14090]	Time 0.855 (0.765)	Data 0.001 (0.001)	Loss 2.6533 (2.7603)	Prec@1 33.594 (34.275)	Prec@5 70.312 (64.552)
Epoch: [19][13280/14090]	Time 0.769 (0.765)	Data 0.001 (0.001)	Loss 2.6070 (2.7603)	Prec@1 34.375 (34.275)	Prec@5 67.188 (64.553)
Epoch: [19][13290/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.7951 (2.7603)	Prec@1 32.812 (34.274)	Prec@5 61.719 (64.552)
Epoch: [19][13300/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.8876 (2.7603)	Prec@1 35.156 (34.273)	Prec@5 64.844 (64.553)
Epoch: [19][13310/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.6330 (2.7604)	Prec@1 38.281 (34.274)	Prec@5 65.625 (64.553)
Epoch: [19][13320/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.7166 (2.7603)	Prec@1 33.594 (34.275)	Prec@5 66.406 (64.554)
Epoch: [19][13330/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.7466 (2.7604)	Prec@1 32.812 (34.275)	Prec@5 68.750 (64.553)
Epoch: [19][13340/14090]	Time 0.847 (0.765)	Data 0.001 (0.001)	Loss 2.6542 (2.7603)	Prec@1 34.375 (34.275)	Prec@5 65.625 (64.554)
Epoch: [19][13350/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.6070 (2.7603)	Prec@1 40.625 (34.276)	Prec@5 65.625 (64.556)
Epoch: [19][13360/14090]	Time 0.775 (0.765)	Data 0.001 (0.001)	Loss 2.5294 (2.7603)	Prec@1 38.281 (34.276)	Prec@5 68.750 (64.555)
Epoch: [19][13370/14090]	Time 0.777 (0.765)	Data 0.001 (0.001)	Loss 2.3832 (2.7602)	Prec@1 43.750 (34.278)	Prec@5 75.000 (64.557)
Epoch: [19][13380/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.6615 (2.7603)	Prec@1 31.250 (34.276)	Prec@5 71.094 (64.556)
Epoch: [19][13390/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.5905 (2.7604)	Prec@1 42.188 (34.277)	Prec@5 67.969 (64.555)
Epoch: [19][13400/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.6647 (2.7604)	Prec@1 35.156 (34.276)	Prec@5 65.625 (64.555)
Epoch: [19][13410/14090]	Time 0.837 (0.765)	Data 0.001 (0.001)	Loss 2.6144 (2.7604)	Prec@1 26.562 (34.276)	Prec@5 69.531 (64.556)
Epoch: [19][13420/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 2.8821 (2.7604)	Prec@1 31.250 (34.275)	Prec@5 65.625 (64.556)
Epoch: [19][13430/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.7985 (2.7604)	Prec@1 35.156 (34.276)	Prec@5 60.938 (64.557)
Epoch: [19][13440/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.7786 (2.7604)	Prec@1 35.938 (34.276)	Prec@5 62.500 (64.556)
Epoch: [19][13450/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.8601 (2.7604)	Prec@1 32.812 (34.276)	Prec@5 64.062 (64.557)
Epoch: [19][13460/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.6824 (2.7604)	Prec@1 34.375 (34.276)	Prec@5 67.188 (64.555)
Epoch: [19][13470/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.7680 (2.7604)	Prec@1 37.500 (34.277)	Prec@5 60.938 (64.555)
Epoch: [19][13480/14090]	Time 0.841 (0.765)	Data 0.001 (0.001)	Loss 3.0004 (2.7605)	Prec@1 35.938 (34.277)	Prec@5 63.281 (64.555)
Epoch: [19][13490/14090]	Time 0.779 (0.765)	Data 0.001 (0.001)	Loss 2.7402 (2.7605)	Prec@1 28.125 (34.276)	Prec@5 64.844 (64.554)
Epoch: [19][13500/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.9464 (2.7604)	Prec@1 27.344 (34.276)	Prec@5 61.719 (64.557)
Epoch: [19][13510/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.9206 (2.7604)	Prec@1 30.469 (34.275)	Prec@5 64.844 (64.557)
Epoch: [19][13520/14090]	Time 0.775 (0.765)	Data 0.001 (0.001)	Loss 2.9097 (2.7605)	Prec@1 32.031 (34.273)	Prec@5 60.938 (64.555)
Epoch: [19][13530/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 3.0426 (2.7605)	Prec@1 32.812 (34.272)	Prec@5 58.594 (64.555)
Epoch: [19][13540/14090]	Time 0.791 (0.765)	Data 0.001 (0.001)	Loss 2.9784 (2.7605)	Prec@1 28.906 (34.272)	Prec@5 64.062 (64.556)
Epoch: [19][13550/14090]	Time 0.845 (0.765)	Data 0.001 (0.001)	Loss 2.2039 (2.7604)	Prec@1 46.875 (34.273)	Prec@5 76.562 (64.557)
Epoch: [19][13560/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.7026 (2.7604)	Prec@1 39.844 (34.272)	Prec@5 64.844 (64.558)
Epoch: [19][13570/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.6491 (2.7604)	Prec@1 35.938 (34.272)	Prec@5 66.406 (64.557)
Epoch: [19][13580/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.4959 (2.7604)	Prec@1 42.188 (34.272)	Prec@5 70.312 (64.558)
Epoch: [19][13590/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.7999 (2.7603)	Prec@1 31.250 (34.272)	Prec@5 62.500 (64.559)
Epoch: [19][13600/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.7978 (2.7604)	Prec@1 34.375 (34.271)	Prec@5 64.062 (64.559)
Epoch: [19][13610/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.4030 (2.7604)	Prec@1 39.062 (34.270)	Prec@5 70.312 (64.558)
Epoch: [19][13620/14090]	Time 0.824 (0.765)	Data 0.001 (0.001)	Loss 3.2053 (2.7605)	Prec@1 31.250 (34.268)	Prec@5 53.125 (64.555)
Epoch: [19][13630/14090]	Time 0.768 (0.765)	Data 0.001 (0.001)	Loss 2.5823 (2.7605)	Prec@1 35.938 (34.269)	Prec@5 71.094 (64.556)
Epoch: [19][13640/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.4295 (2.7604)	Prec@1 39.844 (34.270)	Prec@5 64.062 (64.557)
Epoch: [19][13650/14090]	Time 0.787 (0.765)	Data 0.001 (0.001)	Loss 2.5705 (2.7604)	Prec@1 42.188 (34.271)	Prec@5 68.750 (64.557)
Epoch: [19][13660/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.5662 (2.7604)	Prec@1 33.594 (34.270)	Prec@5 67.188 (64.557)
Epoch: [19][13670/14090]	Time 0.766 (0.765)	Data 0.001 (0.001)	Loss 2.8597 (2.7604)	Prec@1 32.812 (34.269)	Prec@5 64.062 (64.557)
Epoch: [19][13680/14090]	Time 0.783 (0.765)	Data 0.001 (0.001)	Loss 2.8520 (2.7604)	Prec@1 33.594 (34.270)	Prec@5 66.406 (64.559)
Epoch: [19][13690/14090]	Time 0.842 (0.765)	Data 0.001 (0.001)	Loss 2.6188 (2.7604)	Prec@1 39.844 (34.272)	Prec@5 69.531 (64.560)
Epoch: [19][13700/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.6393 (2.7603)	Prec@1 39.062 (34.273)	Prec@5 64.844 (64.561)
Epoch: [19][13710/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.6839 (2.7603)	Prec@1 35.938 (34.273)	Prec@5 64.844 (64.561)
Epoch: [19][13720/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.8228 (2.7603)	Prec@1 36.719 (34.274)	Prec@5 64.062 (64.562)
Epoch: [19][13730/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.7589 (2.7604)	Prec@1 30.469 (34.274)	Prec@5 62.500 (64.561)
Epoch: [19][13740/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.7523 (2.7603)	Prec@1 34.375 (34.273)	Prec@5 62.500 (64.560)
Epoch: [19][13750/14090]	Time 0.776 (0.765)	Data 0.001 (0.001)	Loss 2.8155 (2.7604)	Prec@1 34.375 (34.270)	Prec@5 63.281 (64.559)
Epoch: [19][13760/14090]	Time 0.849 (0.765)	Data 0.001 (0.001)	Loss 2.6410 (2.7604)	Prec@1 35.938 (34.272)	Prec@5 67.188 (64.559)
Epoch: [19][13770/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.7394 (2.7604)	Prec@1 37.500 (34.272)	Prec@5 68.750 (64.559)
Epoch: [19][13780/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.8744 (2.7604)	Prec@1 37.500 (34.272)	Prec@5 64.062 (64.558)
Epoch: [19][13790/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.7538 (2.7604)	Prec@1 28.906 (34.271)	Prec@5 63.281 (64.559)
Epoch: [19][13800/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.6247 (2.7604)	Prec@1 40.625 (34.272)	Prec@5 67.969 (64.559)
Epoch: [19][13810/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.5284 (2.7604)	Prec@1 39.844 (34.273)	Prec@5 70.312 (64.560)
Epoch: [19][13820/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.9216 (2.7604)	Prec@1 26.562 (34.273)	Prec@5 61.719 (64.560)
Epoch: [19][13830/14090]	Time 0.855 (0.765)	Data 0.001 (0.001)	Loss 2.8293 (2.7604)	Prec@1 34.375 (34.274)	Prec@5 62.500 (64.559)
Epoch: [19][13840/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.7781 (2.7604)	Prec@1 39.062 (34.272)	Prec@5 60.938 (64.559)
Epoch: [19][13850/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.6516 (2.7604)	Prec@1 39.062 (34.271)	Prec@5 68.750 (64.558)
Epoch: [19][13860/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.8233 (2.7605)	Prec@1 31.250 (34.269)	Prec@5 67.188 (64.557)
Epoch: [19][13870/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.7633 (2.7606)	Prec@1 27.344 (34.268)	Prec@5 64.062 (64.557)
Epoch: [19][13880/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.5339 (2.7605)	Prec@1 39.844 (34.268)	Prec@5 69.531 (64.559)
Epoch: [19][13890/14090]	Time 0.778 (0.765)	Data 0.001 (0.001)	Loss 2.6712 (2.7605)	Prec@1 39.062 (34.269)	Prec@5 71.094 (64.561)
Epoch: [19][13900/14090]	Time 0.867 (0.765)	Data 0.001 (0.001)	Loss 2.6487 (2.7604)	Prec@1 40.625 (34.269)	Prec@5 68.750 (64.562)
Epoch: [19][13910/14090]	Time 0.773 (0.765)	Data 0.001 (0.001)	Loss 2.6611 (2.7604)	Prec@1 35.938 (34.271)	Prec@5 68.750 (64.563)
Epoch: [19][13920/14090]	Time 0.772 (0.765)	Data 0.001 (0.001)	Loss 3.1172 (2.7604)	Prec@1 27.344 (34.271)	Prec@5 53.906 (64.563)
Epoch: [19][13930/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.6666 (2.7604)	Prec@1 32.812 (34.271)	Prec@5 64.844 (64.562)
Epoch: [19][13940/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 3.0612 (2.7605)	Prec@1 27.344 (34.270)	Prec@5 60.938 (64.562)
Epoch: [19][13950/14090]	Time 0.770 (0.765)	Data 0.001 (0.001)	Loss 3.0019 (2.7605)	Prec@1 31.250 (34.269)	Prec@5 60.938 (64.561)
Epoch: [19][13960/14090]	Time 0.768 (0.765)	Data 0.001 (0.001)	Loss 2.6664 (2.7605)	Prec@1 38.281 (34.268)	Prec@5 63.281 (64.561)
Epoch: [19][13970/14090]	Time 0.879 (0.765)	Data 0.001 (0.001)	Loss 2.9004 (2.7605)	Prec@1 29.688 (34.267)	Prec@5 64.844 (64.560)
Epoch: [19][13980/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.7116 (2.7605)	Prec@1 32.031 (34.266)	Prec@5 64.062 (64.560)
Epoch: [19][13990/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.7029 (2.7605)	Prec@1 36.719 (34.267)	Prec@5 65.625 (64.561)
Epoch: [19][14000/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.7762 (2.7605)	Prec@1 29.688 (34.266)	Prec@5 66.406 (64.561)
Epoch: [19][14010/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 3.0700 (2.7607)	Prec@1 32.031 (34.263)	Prec@5 54.688 (64.558)
Epoch: [19][14020/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.7927 (2.7607)	Prec@1 32.031 (34.263)	Prec@5 69.531 (64.558)
Epoch: [19][14030/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.8288 (2.7607)	Prec@1 36.719 (34.263)	Prec@5 63.281 (64.559)
Epoch: [19][14040/14090]	Time 0.868 (0.765)	Data 0.001 (0.001)	Loss 2.5573 (2.7607)	Prec@1 40.625 (34.262)	Prec@5 66.406 (64.558)
Epoch: [19][14050/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.7856 (2.7607)	Prec@1 36.719 (34.262)	Prec@5 62.500 (64.557)
Epoch: [19][14060/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.3662 (2.7607)	Prec@1 40.625 (34.261)	Prec@5 75.000 (64.558)
Epoch: [19][14070/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.6716 (2.7607)	Prec@1 39.844 (34.262)	Prec@5 65.625 (64.559)
Epoch: [19][14080/14090]	Time 0.738 (0.765)	Data 0.000 (0.001)	Loss 3.1276 (2.7606)	Prec@1 30.469 (34.263)	Prec@5 58.594 (64.559)
Test: [0/286]	Time 3.402 (3.402)	Loss 1.3043 (1.3043)	Prec@1 54.688 (54.688)	Prec@5 95.312 (95.312)
Test: [10/286]	Time 0.230 (0.575)	Loss 2.5182 (2.6135)	Prec@1 39.062 (37.074)	Prec@5 75.000 (69.815)
Test: [20/286]	Time 0.231 (0.431)	Loss 2.1753 (2.5724)	Prec@1 49.219 (38.021)	Prec@5 79.688 (70.312)
Test: [30/286]	Time 0.228 (0.384)	Loss 2.5857 (2.4383)	Prec@1 34.375 (41.079)	Prec@5 67.969 (72.203)
Test: [40/286]	Time 0.358 (0.363)	Loss 2.4931 (2.4911)	Prec@1 35.156 (39.463)	Prec@5 71.094 (70.846)
Test: [50/286]	Time 0.273 (0.348)	Loss 0.7854 (2.4707)	Prec@1 82.812 (39.798)	Prec@5 92.969 (70.971)
Test: [60/286]	Time 0.247 (0.337)	Loss 3.3635 (2.4702)	Prec@1 24.219 (40.202)	Prec@5 54.688 (70.453)
Test: [70/286]	Time 0.232 (0.329)	Loss 1.6693 (2.4451)	Prec@1 67.188 (40.746)	Prec@5 82.812 (70.984)
Test: [80/286]	Time 0.318 (0.328)	Loss 2.6916 (2.4828)	Prec@1 24.219 (39.709)	Prec@5 67.969 (70.081)
Test: [90/286]	Time 0.305 (0.325)	Loss 2.8429 (2.4902)	Prec@1 30.469 (39.543)	Prec@5 57.031 (69.840)
Test: [100/286]	Time 0.236 (0.324)	Loss 2.3755 (2.4810)	Prec@1 42.188 (39.503)	Prec@5 70.312 (70.320)
Test: [110/286]	Time 0.233 (0.319)	Loss 2.6430 (2.5045)	Prec@1 29.688 (38.640)	Prec@5 70.312 (70.115)
Test: [120/286]	Time 0.230 (0.320)	Loss 1.9931 (2.4893)	Prec@1 54.688 (39.205)	Prec@5 82.031 (70.364)
Test: [130/286]	Time 0.229 (0.317)	Loss 1.3540 (2.4809)	Prec@1 66.406 (39.355)	Prec@5 90.625 (70.485)
Test: [140/286]	Time 0.347 (0.315)	Loss 2.5049 (2.4558)	Prec@1 47.656 (39.883)	Prec@5 65.625 (71.061)
Test: [150/286]	Time 0.233 (0.314)	Loss 2.7502 (2.4631)	Prec@1 29.688 (39.425)	Prec@5 67.969 (71.166)
Test: [160/286]	Time 0.258 (0.315)	Loss 3.0464 (2.4685)	Prec@1 21.094 (39.276)	Prec@5 60.938 (71.137)
Test: [170/286]	Time 0.255 (0.313)	Loss 2.5385 (2.4635)	Prec@1 38.281 (39.286)	Prec@5 69.531 (71.203)
Test: [180/286]	Time 0.332 (0.312)	Loss 2.3163 (2.4875)	Prec@1 44.531 (38.786)	Prec@5 71.875 (70.800)
Test: [190/286]	Time 0.295 (0.311)	Loss 3.3044 (2.4992)	Prec@1 16.406 (38.490)	Prec@5 57.812 (70.607)
Test: [200/286]	Time 0.339 (0.311)	Loss 2.3678 (2.4938)	Prec@1 47.656 (38.697)	Prec@5 79.688 (70.759)
Test: [210/286]	Time 0.237 (0.310)	Loss 2.7984 (2.5063)	Prec@1 28.906 (38.322)	Prec@5 68.750 (70.520)
Test: [220/286]	Time 0.369 (0.310)	Loss 3.3554 (2.5084)	Prec@1 18.750 (38.377)	Prec@5 56.250 (70.429)
Test: [230/286]	Time 0.224 (0.309)	Loss 1.3723 (2.5052)	Prec@1 67.188 (38.491)	Prec@5 85.938 (70.387)
Test: [240/286]	Time 0.428 (0.310)	Loss 2.9807 (2.5112)	Prec@1 27.344 (38.511)	Prec@5 63.281 (70.300)
Test: [250/286]	Time 0.242 (0.308)	Loss 1.6100 (2.5068)	Prec@1 55.469 (38.449)	Prec@5 85.156 (70.502)
Test: [260/286]	Time 0.630 (0.309)	Loss 2.2403 (2.4938)	Prec@1 42.969 (38.643)	Prec@5 73.438 (70.815)
Test: [270/286]	Time 0.263 (0.308)	Loss 1.6726 (2.4993)	Prec@1 60.938 (38.529)	Prec@5 82.812 (70.693)
Test: [280/286]	Time 0.292 (0.307)	Loss 1.6472 (2.4801)	Prec@1 57.031 (39.037)	Prec@5 87.500 (70.994)
 * Prec@1 39.209 Prec@5 71.030
Epoch: [20][0/14090]	Time 4.895 (4.895)	Data 4.156 (4.156)	Loss 2.7749 (2.7749)	Prec@1 35.156 (35.156)	Prec@5 62.500 (62.500)
Epoch: [20][10/14090]	Time 0.842 (1.139)	Data 0.001 (0.379)	Loss 2.8431 (2.6765)	Prec@1 32.031 (36.932)	Prec@5 61.719 (65.412)
Epoch: [20][20/14090]	Time 0.735 (0.953)	Data 0.001 (0.199)	Loss 2.7944 (2.7084)	Prec@1 36.719 (35.826)	Prec@5 64.062 (64.993)
Epoch: [20][30/14090]	Time 0.727 (0.889)	Data 0.001 (0.135)	Loss 2.6443 (2.7234)	Prec@1 35.938 (35.307)	Prec@5 64.844 (64.642)
Epoch: [20][40/14090]	Time 0.741 (0.860)	Data 0.001 (0.102)	Loss 2.7798 (2.7263)	Prec@1 32.812 (34.718)	Prec@5 64.062 (64.863)
Epoch: [20][50/14090]	Time 0.751 (0.840)	Data 0.001 (0.082)	Loss 2.8124 (2.7171)	Prec@1 33.594 (35.034)	Prec@5 64.062 (65.150)
Epoch: [20][60/14090]	Time 0.729 (0.828)	Data 0.001 (0.069)	Loss 2.8528 (2.7219)	Prec@1 29.688 (34.874)	Prec@5 62.500 (65.254)
Epoch: [20][70/14090]	Time 0.744 (0.820)	Data 0.001 (0.059)	Loss 2.7087 (2.7191)	Prec@1 35.938 (34.760)	Prec@5 67.188 (65.163)
Epoch: [20][80/14090]	Time 0.856 (0.815)	Data 0.001 (0.052)	Loss 2.8371 (2.7190)	Prec@1 30.469 (34.790)	Prec@5 60.938 (65.249)
Epoch: [20][90/14090]	Time 0.753 (0.808)	Data 0.001 (0.046)	Loss 2.8028 (2.7264)	Prec@1 32.812 (34.564)	Prec@5 68.750 (65.153)
Epoch: [20][100/14090]	Time 0.778 (0.804)	Data 0.001 (0.042)	Loss 3.2904 (2.7425)	Prec@1 25.000 (34.305)	Prec@5 57.031 (64.805)
Epoch: [20][110/14090]	Time 0.764 (0.802)	Data 0.001 (0.038)	Loss 2.8827 (2.7454)	Prec@1 31.250 (34.220)	Prec@5 60.156 (64.802)
Epoch: [20][120/14090]	Time 0.737 (0.799)	Data 0.001 (0.035)	Loss 2.6636 (2.7470)	Prec@1 31.250 (34.188)	Prec@5 66.406 (64.792)
Epoch: [20][130/14090]	Time 0.755 (0.798)	Data 0.001 (0.033)	Loss 2.7996 (2.7453)	Prec@1 37.500 (34.190)	Prec@5 60.156 (65.005)
Epoch: [20][140/14090]	Time 0.741 (0.795)	Data 0.001 (0.030)	Loss 2.7756 (2.7476)	Prec@1 35.156 (34.231)	Prec@5 64.844 (64.871)
Epoch: [20][150/14090]	Time 0.862 (0.794)	Data 0.001 (0.028)	Loss 2.9831 (2.7532)	Prec@1 28.125 (34.054)	Prec@5 59.375 (64.813)
Epoch: [20][160/14090]	Time 0.731 (0.791)	Data 0.001 (0.027)	Loss 3.0247 (2.7541)	Prec@1 24.219 (33.972)	Prec@5 57.812 (64.853)
Epoch: [20][170/14090]	Time 0.758 (0.790)	Data 0.001 (0.025)	Loss 2.7923 (2.7527)	Prec@1 36.719 (34.010)	Prec@5 63.281 (64.775)
Epoch: [20][180/14090]	Time 0.770 (0.789)	Data 0.001 (0.024)	Loss 2.7058 (2.7505)	Prec@1 39.844 (34.004)	Prec@5 66.406 (64.831)
Epoch: [20][190/14090]	Time 0.774 (0.789)	Data 0.001 (0.023)	Loss 3.0349 (2.7517)	Prec@1 30.469 (33.970)	Prec@5 56.250 (64.815)
Epoch: [20][200/14090]	Time 0.756 (0.788)	Data 0.001 (0.022)	Loss 2.5446 (2.7536)	Prec@1 40.625 (34.017)	Prec@5 64.844 (64.747)
Epoch: [20][210/14090]	Time 0.729 (0.787)	Data 0.001 (0.021)	Loss 2.7248 (2.7519)	Prec@1 36.719 (34.068)	Prec@5 61.719 (64.718)
Epoch: [20][220/14090]	Time 0.898 (0.787)	Data 0.001 (0.020)	Loss 2.6280 (2.7507)	Prec@1 37.500 (34.135)	Prec@5 65.625 (64.667)
Epoch: [20][230/14090]	Time 0.775 (0.786)	Data 0.001 (0.019)	Loss 2.8728 (2.7492)	Prec@1 32.812 (34.182)	Prec@5 64.844 (64.736)
Epoch: [20][240/14090]	Time 0.756 (0.786)	Data 0.001 (0.018)	Loss 2.6189 (2.7479)	Prec@1 39.062 (34.197)	Prec@5 66.406 (64.711)
Epoch: [20][250/14090]	Time 0.747 (0.785)	Data 0.001 (0.017)	Loss 2.7219 (2.7489)	Prec@1 33.594 (34.176)	Prec@5 65.625 (64.688)
Epoch: [20][260/14090]	Time 0.745 (0.785)	Data 0.001 (0.017)	Loss 2.7713 (2.7507)	Prec@1 29.688 (34.022)	Prec@5 60.938 (64.649)
Epoch: [20][270/14090]	Time 0.755 (0.784)	Data 0.001 (0.016)	Loss 2.9404 (2.7521)	Prec@1 28.906 (33.983)	Prec@5 64.062 (64.616)
Epoch: [20][280/14090]	Time 0.775 (0.784)	Data 0.001 (0.016)	Loss 2.9400 (2.7506)	Prec@1 30.469 (34.050)	Prec@5 64.062 (64.646)
Epoch: [20][290/14090]	Time 0.859 (0.783)	Data 0.001 (0.015)	Loss 2.8090 (2.7498)	Prec@1 32.812 (34.088)	Prec@5 60.156 (64.664)
Epoch: [20][300/14090]	Time 0.761 (0.783)	Data 0.001 (0.015)	Loss 2.7456 (2.7540)	Prec@1 38.281 (34.058)	Prec@5 69.531 (64.584)
Epoch: [20][310/14090]	Time 0.776 (0.782)	Data 0.001 (0.014)	Loss 2.6365 (2.7531)	Prec@1 34.375 (34.104)	Prec@5 66.406 (64.610)
Epoch: [20][320/14090]	Time 0.745 (0.782)	Data 0.001 (0.014)	Loss 2.5889 (2.7545)	Prec@1 34.375 (34.105)	Prec@5 75.000 (64.617)
Epoch: [20][330/14090]	Time 0.737 (0.781)	Data 0.001 (0.013)	Loss 2.8466 (2.7516)	Prec@1 28.906 (34.130)	Prec@5 63.281 (64.645)
Epoch: [20][340/14090]	Time 0.745 (0.781)	Data 0.001 (0.013)	Loss 2.7856 (2.7522)	Prec@1 36.719 (34.116)	Prec@5 64.062 (64.631)
Epoch: [20][350/14090]	Time 0.774 (0.781)	Data 0.001 (0.013)	Loss 2.9393 (2.7550)	Prec@1 25.781 (34.054)	Prec@5 58.594 (64.570)
Epoch: [20][360/14090]	Time 0.874 (0.780)	Data 0.001 (0.012)	Loss 2.7721 (2.7524)	Prec@1 35.938 (34.089)	Prec@5 67.969 (64.649)
Epoch: [20][370/14090]	Time 0.743 (0.780)	Data 0.001 (0.012)	Loss 2.9133 (2.7522)	Prec@1 29.688 (34.070)	Prec@5 63.281 (64.709)
Epoch: [20][380/14090]	Time 0.789 (0.779)	Data 0.001 (0.012)	Loss 2.6148 (2.7541)	Prec@1 34.375 (34.035)	Prec@5 66.406 (64.639)
Epoch: [20][390/14090]	Time 0.760 (0.779)	Data 0.001 (0.011)	Loss 3.0196 (2.7534)	Prec@1 28.125 (34.043)	Prec@5 57.031 (64.662)
Epoch: [20][400/14090]	Time 0.729 (0.779)	Data 0.001 (0.011)	Loss 2.5887 (2.7525)	Prec@1 37.500 (34.061)	Prec@5 65.625 (64.686)
Epoch: [20][410/14090]	Time 0.769 (0.779)	Data 0.001 (0.011)	Loss 2.5631 (2.7514)	Prec@1 42.188 (34.145)	Prec@5 69.531 (64.695)
Epoch: [20][420/14090]	Time 0.760 (0.778)	Data 0.001 (0.011)	Loss 2.7830 (2.7524)	Prec@1 38.281 (34.128)	Prec@5 64.062 (64.708)
Epoch: [20][430/14090]	Time 0.833 (0.778)	Data 0.001 (0.010)	Loss 2.5308 (2.7543)	Prec@1 35.938 (34.081)	Prec@5 66.406 (64.644)
Epoch: [20][440/14090]	Time 0.759 (0.778)	Data 0.001 (0.010)	Loss 2.7583 (2.7545)	Prec@1 30.469 (34.104)	Prec@5 62.500 (64.642)
Epoch: [20][450/14090]	Time 0.739 (0.777)	Data 0.001 (0.010)	Loss 2.9124 (2.7568)	Prec@1 29.688 (34.055)	Prec@5 56.250 (64.606)
Epoch: [20][460/14090]	Time 0.726 (0.777)	Data 0.001 (0.010)	Loss 2.6693 (2.7558)	Prec@1 27.344 (34.067)	Prec@5 66.406 (64.659)
Epoch: [20][470/14090]	Time 0.778 (0.777)	Data 0.001 (0.010)	Loss 2.6158 (2.7555)	Prec@1 37.500 (34.070)	Prec@5 68.750 (64.660)
Epoch: [20][480/14090]	Time 0.760 (0.777)	Data 0.001 (0.009)	Loss 2.7387 (2.7541)	Prec@1 35.156 (34.099)	Prec@5 67.188 (64.693)
Epoch: [20][490/14090]	Time 0.793 (0.776)	Data 0.001 (0.009)	Loss 2.6783 (2.7540)	Prec@1 31.250 (34.106)	Prec@5 66.406 (64.681)
Epoch: [20][500/14090]	Time 0.864 (0.776)	Data 0.001 (0.009)	Loss 2.8587 (2.7542)	Prec@1 30.469 (34.090)	Prec@5 65.625 (64.678)
Epoch: [20][510/14090]	Time 0.770 (0.776)	Data 0.001 (0.009)	Loss 2.9001 (2.7547)	Prec@1 32.031 (34.069)	Prec@5 61.719 (64.682)
Epoch: [20][520/14090]	Time 0.779 (0.776)	Data 0.001 (0.009)	Loss 2.8388 (2.7533)	Prec@1 34.375 (34.089)	Prec@5 67.188 (64.728)
Epoch: [20][530/14090]	Time 0.767 (0.776)	Data 0.001 (0.009)	Loss 2.8663 (2.7529)	Prec@1 30.469 (34.107)	Prec@5 64.062 (64.739)
Epoch: [20][540/14090]	Time 0.737 (0.776)	Data 0.001 (0.009)	Loss 2.9293 (2.7518)	Prec@1 32.031 (34.135)	Prec@5 58.594 (64.754)
Epoch: [20][550/14090]	Time 0.732 (0.776)	Data 0.001 (0.008)	Loss 2.9194 (2.7533)	Prec@1 32.031 (34.096)	Prec@5 66.406 (64.753)
Epoch: [20][560/14090]	Time 0.789 (0.776)	Data 0.001 (0.008)	Loss 2.7224 (2.7532)	Prec@1 34.375 (34.108)	Prec@5 64.844 (64.769)
Epoch: [20][570/14090]	Time 0.865 (0.776)	Data 0.001 (0.008)	Loss 2.8987 (2.7524)	Prec@1 32.812 (34.110)	Prec@5 62.500 (64.782)
Epoch: [20][580/14090]	Time 0.773 (0.776)	Data 0.001 (0.008)	Loss 2.8580 (2.7527)	Prec@1 32.812 (34.102)	Prec@5 64.844 (64.774)
Epoch: [20][590/14090]	Time 0.739 (0.775)	Data 0.001 (0.008)	Loss 2.7605 (2.7521)	Prec@1 34.375 (34.115)	Prec@5 62.500 (64.807)
Epoch: [20][600/14090]	Time 0.772 (0.775)	Data 0.001 (0.008)	Loss 2.7281 (2.7510)	Prec@1 28.125 (34.123)	Prec@5 65.625 (64.841)
Epoch: [20][610/14090]	Time 0.740 (0.775)	Data 0.001 (0.008)	Loss 2.6836 (2.7508)	Prec@1 29.688 (34.104)	Prec@5 67.188 (64.867)
Epoch: [20][620/14090]	Time 0.734 (0.775)	Data 0.001 (0.008)	Loss 2.5216 (2.7508)	Prec@1 42.969 (34.130)	Prec@5 68.750 (64.873)
Epoch: [20][630/14090]	Time 0.734 (0.775)	Data 0.001 (0.007)	Loss 2.4537 (2.7495)	Prec@1 44.531 (34.165)	Prec@5 71.094 (64.893)
Epoch: [20][640/14090]	Time 0.885 (0.775)	Data 0.001 (0.007)	Loss 2.6173 (2.7493)	Prec@1 35.156 (34.175)	Prec@5 67.188 (64.906)
Epoch: [20][650/14090]	Time 0.733 (0.775)	Data 0.001 (0.007)	Loss 2.7158 (2.7484)	Prec@1 38.281 (34.194)	Prec@5 63.281 (64.911)
Epoch: [20][660/14090]	Time 0.746 (0.775)	Data 0.001 (0.007)	Loss 3.0257 (2.7487)	Prec@1 30.469 (34.217)	Prec@5 54.688 (64.899)
Epoch: [20][670/14090]	Time 0.735 (0.775)	Data 0.001 (0.007)	Loss 2.9620 (2.7496)	Prec@1 29.688 (34.217)	Prec@5 64.062 (64.895)
Epoch: [20][680/14090]	Time 0.724 (0.774)	Data 0.001 (0.007)	Loss 2.9633 (2.7489)	Prec@1 37.500 (34.233)	Prec@5 63.281 (64.918)
Epoch: [20][690/14090]	Time 0.756 (0.774)	Data 0.001 (0.007)	Loss 2.4706 (2.7499)	Prec@1 39.062 (34.222)	Prec@5 70.312 (64.929)
Epoch: [20][700/14090]	Time 0.728 (0.774)	Data 0.001 (0.007)	Loss 2.6306 (2.7496)	Prec@1 30.469 (34.223)	Prec@5 64.844 (64.927)
Epoch: [20][710/14090]	Time 0.849 (0.774)	Data 0.001 (0.007)	Loss 2.6935 (2.7496)	Prec@1 32.812 (34.239)	Prec@5 66.406 (64.935)
Epoch: [20][720/14090]	Time 0.756 (0.774)	Data 0.001 (0.007)	Loss 2.6783 (2.7497)	Prec@1 38.281 (34.229)	Prec@5 66.406 (64.927)
Epoch: [20][730/14090]	Time 0.745 (0.774)	Data 0.001 (0.007)	Loss 2.5943 (2.7490)	Prec@1 42.188 (34.247)	Prec@5 70.312 (64.951)
Epoch: [20][740/14090]	Time 0.739 (0.774)	Data 0.001 (0.006)	Loss 2.8335 (2.7491)	Prec@1 33.594 (34.263)	Prec@5 60.156 (64.941)
Epoch: [20][750/14090]	Time 0.743 (0.774)	Data 0.001 (0.006)	Loss 2.6892 (2.7484)	Prec@1 28.125 (34.275)	Prec@5 67.969 (64.946)
Epoch: [20][760/14090]	Time 0.719 (0.774)	Data 0.001 (0.006)	Loss 2.7208 (2.7471)	Prec@1 32.812 (34.308)	Prec@5 64.844 (64.974)
Epoch: [20][770/14090]	Time 0.746 (0.774)	Data 0.001 (0.006)	Loss 2.9929 (2.7476)	Prec@1 32.031 (34.307)	Prec@5 60.938 (64.974)
Epoch: [20][780/14090]	Time 0.843 (0.774)	Data 0.001 (0.006)	Loss 2.9453 (2.7478)	Prec@1 32.812 (34.299)	Prec@5 65.625 (64.973)
Epoch: [20][790/14090]	Time 0.756 (0.774)	Data 0.001 (0.006)	Loss 2.6567 (2.7472)	Prec@1 35.156 (34.303)	Prec@5 67.188 (64.991)
Epoch: [20][800/14090]	Time 0.728 (0.773)	Data 0.001 (0.006)	Loss 2.4017 (2.7464)	Prec@1 37.500 (34.330)	Prec@5 71.875 (64.994)
Epoch: [20][810/14090]	Time 0.731 (0.774)	Data 0.001 (0.006)	Loss 3.0032 (2.7454)	Prec@1 25.000 (34.353)	Prec@5 62.500 (65.025)
Epoch: [20][820/14090]	Time 0.730 (0.773)	Data 0.001 (0.006)	Loss 2.7197 (2.7453)	Prec@1 32.812 (34.338)	Prec@5 59.375 (65.038)
Epoch: [20][830/14090]	Time 0.753 (0.773)	Data 0.001 (0.006)	Loss 2.3750 (2.7444)	Prec@1 44.531 (34.360)	Prec@5 70.312 (65.042)
Epoch: [20][840/14090]	Time 0.752 (0.773)	Data 0.001 (0.006)	Loss 3.1065 (2.7457)	Prec@1 28.125 (34.339)	Prec@5 61.719 (65.024)
Epoch: [20][850/14090]	Time 0.880 (0.773)	Data 0.001 (0.006)	Loss 2.7019 (2.7457)	Prec@1 30.469 (34.347)	Prec@5 67.188 (65.026)
Epoch: [20][860/14090]	Time 0.734 (0.773)	Data 0.001 (0.006)	Loss 2.5966 (2.7461)	Prec@1 36.719 (34.355)	Prec@5 67.188 (65.014)
Epoch: [20][870/14090]	Time 0.745 (0.773)	Data 0.001 (0.006)	Loss 2.8392 (2.7458)	Prec@1 28.125 (34.355)	Prec@5 66.406 (65.010)
Epoch: [20][880/14090]	Time 0.732 (0.773)	Data 0.001 (0.006)	Loss 2.9311 (2.7462)	Prec@1 37.500 (34.354)	Prec@5 60.938 (64.991)
Epoch: [20][890/14090]	Time 0.735 (0.773)	Data 0.001 (0.006)	Loss 2.5870 (2.7456)	Prec@1 42.188 (34.390)	Prec@5 72.656 (65.003)
Epoch: [20][900/14090]	Time 0.758 (0.773)	Data 0.001 (0.005)	Loss 2.8415 (2.7461)	Prec@1 26.562 (34.370)	Prec@5 57.031 (64.995)
Epoch: [20][910/14090]	Time 0.741 (0.773)	Data 0.001 (0.005)	Loss 3.0569 (2.7467)	Prec@1 32.812 (34.353)	Prec@5 60.938 (64.990)
Epoch: [20][920/14090]	Time 0.847 (0.773)	Data 0.001 (0.005)	Loss 2.4226 (2.7465)	Prec@1 39.062 (34.356)	Prec@5 70.312 (64.987)
Epoch: [20][930/14090]	Time 0.741 (0.773)	Data 0.001 (0.005)	Loss 3.0764 (2.7466)	Prec@1 22.656 (34.335)	Prec@5 60.156 (64.981)
Epoch: [20][940/14090]	Time 0.738 (0.772)	Data 0.001 (0.005)	Loss 2.9950 (2.7473)	Prec@1 28.125 (34.315)	Prec@5 60.156 (64.961)
Epoch: [20][950/14090]	Time 0.768 (0.772)	Data 0.001 (0.005)	Loss 2.9238 (2.7478)	Prec@1 29.688 (34.318)	Prec@5 66.406 (64.955)
Epoch: [20][960/14090]	Time 0.728 (0.772)	Data 0.001 (0.005)	Loss 3.0002 (2.7490)	Prec@1 28.906 (34.320)	Prec@5 59.375 (64.906)
Epoch: [20][970/14090]	Time 0.791 (0.772)	Data 0.001 (0.005)	Loss 2.6927 (2.7478)	Prec@1 37.500 (34.359)	Prec@5 64.062 (64.920)
Epoch: [20][980/14090]	Time 0.760 (0.772)	Data 0.001 (0.005)	Loss 2.6980 (2.7478)	Prec@1 37.500 (34.367)	Prec@5 66.406 (64.920)
Epoch: [20][990/14090]	Time 0.903 (0.772)	Data 0.001 (0.005)	Loss 3.0033 (2.7488)	Prec@1 27.344 (34.333)	Prec@5 62.500 (64.912)
Epoch: [20][1000/14090]	Time 0.741 (0.772)	Data 0.001 (0.005)	Loss 2.7004 (2.7480)	Prec@1 37.500 (34.347)	Prec@5 64.062 (64.931)
Epoch: [20][1010/14090]	Time 0.737 (0.772)	Data 0.001 (0.005)	Loss 3.0009 (2.7477)	Prec@1 32.031 (34.343)	Prec@5 57.031 (64.914)
Epoch: [20][1020/14090]	Time 0.737 (0.772)	Data 0.002 (0.005)	Loss 3.2574 (2.7490)	Prec@1 27.344 (34.325)	Prec@5 52.344 (64.890)
Epoch: [20][1030/14090]	Time 0.776 (0.772)	Data 0.001 (0.005)	Loss 2.9024 (2.7483)	Prec@1 29.688 (34.333)	Prec@5 64.844 (64.909)
Epoch: [20][1040/14090]	Time 0.732 (0.772)	Data 0.001 (0.005)	Loss 2.6727 (2.7480)	Prec@1 39.062 (34.341)	Prec@5 69.531 (64.915)
Epoch: [20][1050/14090]	Time 0.772 (0.772)	Data 0.001 (0.005)	Loss 2.7165 (2.7482)	Prec@1 33.594 (34.342)	Prec@5 60.156 (64.908)
Epoch: [20][1060/14090]	Time 0.872 (0.772)	Data 0.001 (0.005)	Loss 2.6056 (2.7482)	Prec@1 29.688 (34.321)	Prec@5 67.969 (64.906)
Epoch: [20][1070/14090]	Time 0.722 (0.772)	Data 0.001 (0.005)	Loss 2.9755 (2.7486)	Prec@1 31.250 (34.320)	Prec@5 58.594 (64.888)
Epoch: [20][1080/14090]	Time 0.737 (0.772)	Data 0.001 (0.005)	Loss 2.6993 (2.7487)	Prec@1 37.500 (34.316)	Prec@5 64.844 (64.886)
Epoch: [20][1090/14090]	Time 0.756 (0.772)	Data 0.001 (0.005)	Loss 3.1250 (2.7481)	Prec@1 27.344 (34.324)	Prec@5 56.250 (64.895)
Epoch: [20][1100/14090]	Time 0.742 (0.772)	Data 0.001 (0.005)	Loss 2.6265 (2.7486)	Prec@1 35.938 (34.298)	Prec@5 65.625 (64.879)
Epoch: [20][1110/14090]	Time 0.750 (0.772)	Data 0.001 (0.005)	Loss 2.6883 (2.7487)	Prec@1 35.938 (34.297)	Prec@5 62.500 (64.866)
Epoch: [20][1120/14090]	Time 0.745 (0.772)	Data 0.001 (0.005)	Loss 2.5792 (2.7493)	Prec@1 37.500 (34.291)	Prec@5 64.844 (64.856)
Epoch: [20][1130/14090]	Time 0.878 (0.772)	Data 0.001 (0.005)	Loss 2.7860 (2.7505)	Prec@1 33.594 (34.273)	Prec@5 59.375 (64.831)
Epoch: [20][1140/14090]	Time 0.760 (0.772)	Data 0.001 (0.004)	Loss 2.7322 (2.7503)	Prec@1 37.500 (34.277)	Prec@5 67.188 (64.832)
Epoch: [20][1150/14090]	Time 0.729 (0.772)	Data 0.001 (0.004)	Loss 2.7031 (2.7497)	Prec@1 32.812 (34.276)	Prec@5 65.625 (64.841)
Epoch: [20][1160/14090]	Time 0.744 (0.772)	Data 0.001 (0.004)	Loss 2.5989 (2.7506)	Prec@1 39.844 (34.269)	Prec@5 62.500 (64.822)
Epoch: [20][1170/14090]	Time 0.792 (0.772)	Data 0.001 (0.004)	Loss 2.7389 (2.7508)	Prec@1 38.281 (34.278)	Prec@5 61.719 (64.819)
Epoch: [20][1180/14090]	Time 0.761 (0.772)	Data 0.001 (0.004)	Loss 2.6627 (2.7513)	Prec@1 32.812 (34.285)	Prec@5 61.719 (64.809)
Epoch: [20][1190/14090]	Time 0.740 (0.772)	Data 0.001 (0.004)	Loss 2.7741 (2.7515)	Prec@1 32.812 (34.272)	Prec@5 63.281 (64.800)
Epoch: [20][1200/14090]	Time 0.876 (0.772)	Data 0.001 (0.004)	Loss 2.7468 (2.7519)	Prec@1 35.156 (34.250)	Prec@5 60.156 (64.798)
Epoch: [20][1210/14090]	Time 0.760 (0.772)	Data 0.001 (0.004)	Loss 2.8011 (2.7513)	Prec@1 30.469 (34.252)	Prec@5 65.625 (64.809)
Epoch: [20][1220/14090]	Time 0.745 (0.772)	Data 0.001 (0.004)	Loss 2.8243 (2.7516)	Prec@1 32.031 (34.241)	Prec@5 65.625 (64.813)
Epoch: [20][1230/14090]	Time 0.736 (0.772)	Data 0.001 (0.004)	Loss 2.8374 (2.7519)	Prec@1 33.594 (34.237)	Prec@5 65.625 (64.802)
Epoch: [20][1240/14090]	Time 0.745 (0.772)	Data 0.001 (0.004)	Loss 2.7675 (2.7519)	Prec@1 38.281 (34.252)	Prec@5 67.188 (64.805)
Epoch: [20][1250/14090]	Time 0.735 (0.772)	Data 0.001 (0.004)	Loss 2.7385 (2.7517)	Prec@1 31.250 (34.244)	Prec@5 69.531 (64.810)
Epoch: [20][1260/14090]	Time 0.725 (0.772)	Data 0.001 (0.004)	Loss 3.0768 (2.7523)	Prec@1 28.125 (34.237)	Prec@5 57.031 (64.811)
Epoch: [20][1270/14090]	Time 0.872 (0.772)	Data 0.001 (0.004)	Loss 2.8909 (2.7517)	Prec@1 34.375 (34.250)	Prec@5 62.500 (64.833)
Epoch: [20][1280/14090]	Time 0.758 (0.771)	Data 0.001 (0.004)	Loss 2.7922 (2.7519)	Prec@1 30.469 (34.248)	Prec@5 64.062 (64.825)
Epoch: [20][1290/14090]	Time 0.747 (0.771)	Data 0.001 (0.004)	Loss 2.6505 (2.7520)	Prec@1 41.406 (34.253)	Prec@5 64.062 (64.828)
Epoch: [20][1300/14090]	Time 0.746 (0.771)	Data 0.001 (0.004)	Loss 2.7852 (2.7523)	Prec@1 32.031 (34.246)	Prec@5 64.844 (64.813)
Epoch: [20][1310/14090]	Time 0.725 (0.771)	Data 0.001 (0.004)	Loss 2.6113 (2.7517)	Prec@1 32.812 (34.256)	Prec@5 71.094 (64.817)
Epoch: [20][1320/14090]	Time 0.741 (0.771)	Data 0.001 (0.004)	Loss 2.7952 (2.7522)	Prec@1 35.156 (34.236)	Prec@5 65.625 (64.810)
Epoch: [20][1330/14090]	Time 0.728 (0.771)	Data 0.001 (0.004)	Loss 2.9116 (2.7519)	Prec@1 34.375 (34.238)	Prec@5 59.375 (64.804)
Epoch: [20][1340/14090]	Time 0.851 (0.771)	Data 0.001 (0.004)	Loss 2.8734 (2.7522)	Prec@1 38.281 (34.239)	Prec@5 61.719 (64.806)
Epoch: [20][1350/14090]	Time 0.737 (0.771)	Data 0.001 (0.004)	Loss 2.7557 (2.7520)	Prec@1 32.031 (34.248)	Prec@5 66.406 (64.812)
Epoch: [20][1360/14090]	Time 0.759 (0.771)	Data 0.001 (0.004)	Loss 2.5955 (2.7515)	Prec@1 32.031 (34.249)	Prec@5 65.625 (64.826)
Epoch: [20][1370/14090]	Time 0.780 (0.771)	Data 0.001 (0.004)	Loss 2.9643 (2.7516)	Prec@1 32.812 (34.246)	Prec@5 57.031 (64.815)
Epoch: [20][1380/14090]	Time 0.752 (0.771)	Data 0.001 (0.004)	Loss 2.8921 (2.7516)	Prec@1 28.125 (34.240)	Prec@5 63.281 (64.809)
Epoch: [20][1390/14090]	Time 0.755 (0.771)	Data 0.001 (0.004)	Loss 2.5250 (2.7510)	Prec@1 41.406 (34.259)	Prec@5 71.094 (64.826)
Epoch: [20][1400/14090]	Time 0.725 (0.771)	Data 0.001 (0.004)	Loss 2.6920 (2.7506)	Prec@1 30.469 (34.271)	Prec@5 58.594 (64.818)
Epoch: [20][1410/14090]	Time 0.878 (0.771)	Data 0.001 (0.004)	Loss 2.4123 (2.7507)	Prec@1 43.750 (34.269)	Prec@5 75.000 (64.813)
Epoch: [20][1420/14090]	Time 0.779 (0.771)	Data 0.001 (0.004)	Loss 2.9718 (2.7511)	Prec@1 29.688 (34.267)	Prec@5 62.500 (64.804)
Epoch: [20][1430/14090]	Time 0.731 (0.771)	Data 0.001 (0.004)	Loss 2.9039 (2.7512)	Prec@1 36.719 (34.263)	Prec@5 59.375 (64.801)
Epoch: [20][1440/14090]	Time 0.748 (0.771)	Data 0.001 (0.004)	Loss 2.7532 (2.7507)	Prec@1 30.469 (34.279)	Prec@5 67.188 (64.810)
Epoch: [20][1450/14090]	Time 0.740 (0.771)	Data 0.001 (0.004)	Loss 2.9817 (2.7516)	Prec@1 31.250 (34.269)	Prec@5 64.062 (64.803)
Epoch: [20][1460/14090]	Time 0.768 (0.771)	Data 0.001 (0.004)	Loss 2.7340 (2.7512)	Prec@1 35.938 (34.273)	Prec@5 67.188 (64.810)
Epoch: [20][1470/14090]	Time 0.749 (0.771)	Data 0.001 (0.004)	Loss 2.9164 (2.7511)	Prec@1 35.156 (34.279)	Prec@5 58.594 (64.811)
Epoch: [20][1480/14090]	Time 0.861 (0.771)	Data 0.001 (0.004)	Loss 3.0919 (2.7512)	Prec@1 24.219 (34.274)	Prec@5 56.250 (64.812)
Epoch: [20][1490/14090]	Time 0.763 (0.771)	Data 0.001 (0.004)	Loss 2.7460 (2.7507)	Prec@1 35.938 (34.284)	Prec@5 65.625 (64.827)
Epoch: [20][1500/14090]	Time 0.755 (0.771)	Data 0.001 (0.004)	Loss 2.8402 (2.7508)	Prec@1 30.469 (34.279)	Prec@5 64.844 (64.826)
Epoch: [20][1510/14090]	Time 0.745 (0.771)	Data 0.001 (0.004)	Loss 2.8931 (2.7503)	Prec@1 32.031 (34.288)	Prec@5 60.938 (64.832)
Epoch: [20][1520/14090]	Time 0.740 (0.771)	Data 0.001 (0.004)	Loss 2.9121 (2.7497)	Prec@1 32.031 (34.305)	Prec@5 62.500 (64.850)
Epoch: [20][1530/14090]	Time 0.731 (0.771)	Data 0.001 (0.004)	Loss 2.9790 (2.7501)	Prec@1 32.031 (34.305)	Prec@5 60.156 (64.835)
Epoch: [20][1540/14090]	Time 0.738 (0.771)	Data 0.001 (0.004)	Loss 2.9114 (2.7500)	Prec@1 32.812 (34.311)	Prec@5 64.062 (64.839)
Epoch: [20][1550/14090]	Time 0.874 (0.771)	Data 0.002 (0.004)	Loss 2.7989 (2.7501)	Prec@1 28.906 (34.315)	Prec@5 64.844 (64.833)
Epoch: [20][1560/14090]	Time 0.738 (0.771)	Data 0.001 (0.004)	Loss 2.8186 (2.7507)	Prec@1 30.469 (34.293)	Prec@5 62.500 (64.822)
Epoch: [20][1570/14090]	Time 0.742 (0.771)	Data 0.001 (0.003)	Loss 2.7452 (2.7503)	Prec@1 35.156 (34.299)	Prec@5 65.625 (64.829)
Epoch: [20][1580/14090]	Time 0.771 (0.771)	Data 0.001 (0.003)	Loss 2.8492 (2.7500)	Prec@1 34.375 (34.317)	Prec@5 61.719 (64.838)
Epoch: [20][1590/14090]	Time 0.751 (0.771)	Data 0.001 (0.003)	Loss 2.7362 (2.7503)	Prec@1 35.156 (34.325)	Prec@5 67.969 (64.834)
Epoch: [20][1600/14090]	Time 0.749 (0.771)	Data 0.001 (0.003)	Loss 2.6351 (2.7505)	Prec@1 36.719 (34.325)	Prec@5 72.656 (64.838)
Epoch: [20][1610/14090]	Time 0.779 (0.771)	Data 0.001 (0.003)	Loss 2.6627 (2.7506)	Prec@1 34.375 (34.319)	Prec@5 64.844 (64.833)
Epoch: [20][1620/14090]	Time 0.857 (0.771)	Data 0.001 (0.003)	Loss 2.6078 (2.7509)	Prec@1 32.031 (34.315)	Prec@5 67.188 (64.818)
Epoch: [20][1630/14090]	Time 0.735 (0.771)	Data 0.001 (0.003)	Loss 2.5020 (2.7506)	Prec@1 33.594 (34.306)	Prec@5 68.750 (64.823)
Epoch: [20][1640/14090]	Time 0.745 (0.771)	Data 0.001 (0.003)	Loss 2.7273 (2.7507)	Prec@1 35.938 (34.305)	Prec@5 59.375 (64.815)
Epoch: [20][1650/14090]	Time 0.767 (0.771)	Data 0.001 (0.003)	Loss 2.8474 (2.7513)	Prec@1 29.688 (34.312)	Prec@5 58.594 (64.810)
Epoch: [20][1660/14090]	Time 0.741 (0.771)	Data 0.001 (0.003)	Loss 2.6359 (2.7513)	Prec@1 39.062 (34.318)	Prec@5 67.188 (64.808)
Epoch: [20][1670/14090]	Time 0.740 (0.771)	Data 0.001 (0.003)	Loss 3.0866 (2.7520)	Prec@1 28.125 (34.305)	Prec@5 61.719 (64.794)
Epoch: [20][1680/14090]	Time 0.778 (0.771)	Data 0.001 (0.003)	Loss 2.7647 (2.7525)	Prec@1 32.031 (34.289)	Prec@5 64.844 (64.785)
Epoch: [20][1690/14090]	Time 0.861 (0.771)	Data 0.001 (0.003)	Loss 2.6875 (2.7524)	Prec@1 35.156 (34.291)	Prec@5 70.312 (64.792)
Epoch: [20][1700/14090]	Time 0.784 (0.771)	Data 0.001 (0.003)	Loss 2.9298 (2.7529)	Prec@1 35.156 (34.287)	Prec@5 64.062 (64.785)
Epoch: [20][1710/14090]	Time 0.744 (0.771)	Data 0.001 (0.003)	Loss 2.3165 (2.7522)	Prec@1 46.094 (34.307)	Prec@5 75.000 (64.802)
Epoch: [20][1720/14090]	Time 0.729 (0.771)	Data 0.001 (0.003)	Loss 2.7482 (2.7518)	Prec@1 35.938 (34.314)	Prec@5 66.406 (64.808)
Epoch: [20][1730/14090]	Time 0.740 (0.771)	Data 0.001 (0.003)	Loss 2.3041 (2.7515)	Prec@1 37.500 (34.312)	Prec@5 75.781 (64.811)
Epoch: [20][1740/14090]	Time 0.747 (0.771)	Data 0.001 (0.003)	Loss 2.6983 (2.7520)	Prec@1 35.156 (34.305)	Prec@5 61.719 (64.805)
Epoch: [20][1750/14090]	Time 0.761 (0.771)	Data 0.001 (0.003)	Loss 2.3467 (2.7514)	Prec@1 40.625 (34.314)	Prec@5 73.438 (64.819)
Epoch: [20][1760/14090]	Time 0.851 (0.771)	Data 0.001 (0.003)	Loss 2.6804 (2.7514)	Prec@1 39.062 (34.317)	Prec@5 59.375 (64.808)
Epoch: [20][1770/14090]	Time 0.751 (0.771)	Data 0.001 (0.003)	Loss 2.6018 (2.7514)	Prec@1 35.156 (34.319)	Prec@5 65.625 (64.807)
Epoch: [20][1780/14090]	Time 0.752 (0.771)	Data 0.001 (0.003)	Loss 2.5750 (2.7515)	Prec@1 32.812 (34.319)	Prec@5 69.531 (64.799)
Epoch: [20][1790/14090]	Time 0.760 (0.771)	Data 0.001 (0.003)	Loss 2.4462 (2.7513)	Prec@1 40.625 (34.319)	Prec@5 71.094 (64.804)
Epoch: [20][1800/14090]	Time 0.737 (0.771)	Data 0.001 (0.003)	Loss 3.0161 (2.7512)	Prec@1 30.469 (34.329)	Prec@5 57.031 (64.804)
Epoch: [20][1810/14090]	Time 0.752 (0.771)	Data 0.001 (0.003)	Loss 2.5984 (2.7513)	Prec@1 41.406 (34.330)	Prec@5 67.969 (64.796)
Epoch: [20][1820/14090]	Time 0.732 (0.771)	Data 0.001 (0.003)	Loss 2.7628 (2.7516)	Prec@1 31.250 (34.325)	Prec@5 61.719 (64.791)
Epoch: [20][1830/14090]	Time 0.822 (0.771)	Data 0.001 (0.003)	Loss 2.8461 (2.7516)	Prec@1 31.250 (34.325)	Prec@5 63.281 (64.794)
Epoch: [20][1840/14090]	Time 0.737 (0.770)	Data 0.001 (0.003)	Loss 2.7087 (2.7519)	Prec@1 36.719 (34.317)	Prec@5 66.406 (64.791)
Epoch: [20][1850/14090]	Time 0.750 (0.770)	Data 0.001 (0.003)	Loss 2.8251 (2.7521)	Prec@1 28.906 (34.302)	Prec@5 64.062 (64.784)
Epoch: [20][1860/14090]	Time 0.739 (0.770)	Data 0.001 (0.003)	Loss 2.8753 (2.7528)	Prec@1 32.031 (34.290)	Prec@5 63.281 (64.769)
Epoch: [20][1870/14090]	Time 0.765 (0.770)	Data 0.001 (0.003)	Loss 2.7018 (2.7532)	Prec@1 37.500 (34.283)	Prec@5 64.062 (64.758)
Epoch: [20][1880/14090]	Time 0.761 (0.771)	Data 0.001 (0.003)	Loss 2.5283 (2.7523)	Prec@1 39.844 (34.299)	Prec@5 67.188 (64.775)
Epoch: [20][1890/14090]	Time 0.745 (0.770)	Data 0.001 (0.003)	Loss 2.7436 (2.7524)	Prec@1 34.375 (34.307)	Prec@5 62.500 (64.776)
Epoch: [20][1900/14090]	Time 0.873 (0.770)	Data 0.001 (0.003)	Loss 2.9294 (2.7522)	Prec@1 28.125 (34.302)	Prec@5 60.938 (64.783)
Epoch: [20][1910/14090]	Time 0.746 (0.770)	Data 0.001 (0.003)	Loss 3.3054 (2.7526)	Prec@1 20.312 (34.290)	Prec@5 56.250 (64.781)
Epoch: [20][1920/14090]	Time 0.760 (0.770)	Data 0.001 (0.003)	Loss 3.2542 (2.7527)	Prec@1 28.906 (34.296)	Prec@5 56.250 (64.778)
Epoch: [20][1930/14090]	Time 0.750 (0.770)	Data 0.001 (0.003)	Loss 2.8261 (2.7528)	Prec@1 34.375 (34.296)	Prec@5 64.062 (64.777)
Epoch: [20][1940/14090]	Time 0.739 (0.770)	Data 0.001 (0.003)	Loss 2.7090 (2.7523)	Prec@1 32.031 (34.301)	Prec@5 70.312 (64.787)
Epoch: [20][1950/14090]	Time 0.755 (0.770)	Data 0.001 (0.003)	Loss 2.6935 (2.7526)	Prec@1 39.062 (34.303)	Prec@5 64.844 (64.781)
Epoch: [20][1960/14090]	Time 0.738 (0.770)	Data 0.001 (0.003)	Loss 3.0717 (2.7521)	Prec@1 30.469 (34.310)	Prec@5 65.625 (64.790)
Epoch: [20][1970/14090]	Time 0.855 (0.770)	Data 0.001 (0.003)	Loss 2.7470 (2.7523)	Prec@1 38.281 (34.312)	Prec@5 62.500 (64.782)
Epoch: [20][1980/14090]	Time 0.779 (0.770)	Data 0.001 (0.003)	Loss 2.9115 (2.7529)	Prec@1 29.688 (34.296)	Prec@5 62.500 (64.770)
Epoch: [20][1990/14090]	Time 0.754 (0.770)	Data 0.001 (0.003)	Loss 2.7480 (2.7530)	Prec@1 34.375 (34.289)	Prec@5 63.281 (64.759)
Epoch: [20][2000/14090]	Time 0.734 (0.770)	Data 0.001 (0.003)	Loss 2.7952 (2.7534)	Prec@1 34.375 (34.279)	Prec@5 64.844 (64.749)
Epoch: [20][2010/14090]	Time 0.763 (0.770)	Data 0.001 (0.003)	Loss 2.8173 (2.7529)	Prec@1 32.031 (34.295)	Prec@5 60.938 (64.761)
Epoch: [20][2020/14090]	Time 0.742 (0.770)	Data 0.001 (0.003)	Loss 3.0365 (2.7527)	Prec@1 30.469 (34.298)	Prec@5 60.938 (64.761)
Epoch: [20][2030/14090]	Time 0.773 (0.770)	Data 0.001 (0.003)	Loss 2.6987 (2.7526)	Prec@1 38.281 (34.301)	Prec@5 66.406 (64.775)
Epoch: [20][2040/14090]	Time 0.864 (0.770)	Data 0.001 (0.003)	Loss 2.7409 (2.7530)	Prec@1 32.031 (34.302)	Prec@5 68.750 (64.771)
Epoch: [20][2050/14090]	Time 0.741 (0.770)	Data 0.001 (0.003)	Loss 3.0223 (2.7535)	Prec@1 31.250 (34.305)	Prec@5 60.156 (64.755)
Epoch: [20][2060/14090]	Time 0.742 (0.770)	Data 0.001 (0.003)	Loss 2.7957 (2.7533)	Prec@1 42.969 (34.307)	Prec@5 65.625 (64.762)
Epoch: [20][2070/14090]	Time 0.747 (0.770)	Data 0.001 (0.003)	Loss 2.6682 (2.7531)	Prec@1 36.719 (34.315)	Prec@5 65.625 (64.763)
Epoch: [20][2080/14090]	Time 0.751 (0.770)	Data 0.001 (0.003)	Loss 2.7189 (2.7534)	Prec@1 37.500 (34.308)	Prec@5 64.062 (64.760)
Epoch: [20][2090/14090]	Time 0.762 (0.770)	Data 0.001 (0.003)	Loss 2.7797 (2.7539)	Prec@1 31.250 (34.301)	Prec@5 61.719 (64.747)
Epoch: [20][2100/14090]	Time 0.722 (0.770)	Data 0.001 (0.003)	Loss 2.9633 (2.7540)	Prec@1 30.469 (34.304)	Prec@5 62.500 (64.745)
Epoch: [20][2110/14090]	Time 0.824 (0.770)	Data 0.001 (0.003)	Loss 2.6004 (2.7534)	Prec@1 37.500 (34.317)	Prec@5 72.656 (64.762)
Epoch: [20][2120/14090]	Time 0.781 (0.770)	Data 0.001 (0.003)	Loss 2.7550 (2.7532)	Prec@1 36.719 (34.322)	Prec@5 60.156 (64.759)
Epoch: [20][2130/14090]	Time 0.749 (0.770)	Data 0.001 (0.003)	Loss 2.3426 (2.7527)	Prec@1 46.094 (34.330)	Prec@5 75.781 (64.769)
Epoch: [20][2140/14090]	Time 0.780 (0.770)	Data 0.001 (0.003)	Loss 2.7462 (2.7526)	Prec@1 28.125 (34.334)	Prec@5 64.062 (64.767)
Epoch: [20][2150/14090]	Time 0.739 (0.770)	Data 0.001 (0.003)	Loss 3.2906 (2.7533)	Prec@1 25.000 (34.322)	Prec@5 53.906 (64.758)
Epoch: [20][2160/14090]	Time 0.766 (0.770)	Data 0.001 (0.003)	Loss 3.1397 (2.7539)	Prec@1 27.344 (34.321)	Prec@5 54.688 (64.743)
Epoch: [20][2170/14090]	Time 0.739 (0.770)	Data 0.001 (0.003)	Loss 2.5650 (2.7538)	Prec@1 35.156 (34.322)	Prec@5 67.969 (64.738)
Epoch: [20][2180/14090]	Time 0.833 (0.770)	Data 0.001 (0.003)	Loss 2.5753 (2.7538)	Prec@1 35.938 (34.316)	Prec@5 67.969 (64.734)
Epoch: [20][2190/14090]	Time 0.731 (0.770)	Data 0.001 (0.003)	Loss 2.6604 (2.7538)	Prec@1 35.938 (34.320)	Prec@5 61.719 (64.727)
Epoch: [20][2200/14090]	Time 0.736 (0.770)	Data 0.001 (0.003)	Loss 2.8644 (2.7537)	Prec@1 29.688 (34.313)	Prec@5 58.594 (64.724)
Epoch: [20][2210/14090]	Time 0.730 (0.770)	Data 0.001 (0.003)	Loss 2.8121 (2.7535)	Prec@1 32.031 (34.316)	Prec@5 64.062 (64.732)
Epoch: [20][2220/14090]	Time 0.731 (0.770)	Data 0.001 (0.003)	Loss 2.8303 (2.7539)	Prec@1 30.469 (34.311)	Prec@5 60.156 (64.725)
Epoch: [20][2230/14090]	Time 0.736 (0.770)	Data 0.001 (0.003)	Loss 2.8942 (2.7540)	Prec@1 38.281 (34.315)	Prec@5 64.844 (64.717)
Epoch: [20][2240/14090]	Time 0.751 (0.770)	Data 0.001 (0.003)	Loss 2.7135 (2.7541)	Prec@1 35.938 (34.310)	Prec@5 66.406 (64.709)
Epoch: [20][2250/14090]	Time 0.844 (0.770)	Data 0.001 (0.003)	Loss 3.0764 (2.7545)	Prec@1 28.125 (34.302)	Prec@5 60.938 (64.704)
Epoch: [20][2260/14090]	Time 0.773 (0.770)	Data 0.001 (0.003)	Loss 2.6168 (2.7544)	Prec@1 39.844 (34.302)	Prec@5 66.406 (64.701)
Epoch: [20][2270/14090]	Time 0.749 (0.770)	Data 0.001 (0.003)	Loss 2.6830 (2.7541)	Prec@1 38.281 (34.311)	Prec@5 60.938 (64.701)
Epoch: [20][2280/14090]	Time 0.737 (0.770)	Data 0.001 (0.003)	Loss 2.5637 (2.7539)	Prec@1 39.844 (34.318)	Prec@5 66.406 (64.707)
Epoch: [20][2290/14090]	Time 0.734 (0.770)	Data 0.001 (0.003)	Loss 2.8159 (2.7540)	Prec@1 30.469 (34.320)	Prec@5 64.844 (64.702)
Epoch: [20][2300/14090]	Time 0.758 (0.770)	Data 0.001 (0.003)	Loss 2.7430 (2.7541)	Prec@1 35.938 (34.316)	Prec@5 60.938 (64.694)
Epoch: [20][2310/14090]	Time 0.780 (0.770)	Data 0.001 (0.003)	Loss 2.9550 (2.7541)	Prec@1 32.031 (34.321)	Prec@5 64.062 (64.693)
Epoch: [20][2320/14090]	Time 0.845 (0.770)	Data 0.001 (0.003)	Loss 2.8731 (2.7537)	Prec@1 32.812 (34.330)	Prec@5 65.625 (64.703)
Epoch: [20][2330/14090]	Time 0.746 (0.770)	Data 0.001 (0.003)	Loss 2.5501 (2.7535)	Prec@1 38.281 (34.338)	Prec@5 66.406 (64.707)
Epoch: [20][2340/14090]	Time 0.753 (0.770)	Data 0.001 (0.003)	Loss 2.6629 (2.7537)	Prec@1 40.625 (34.338)	Prec@5 61.719 (64.711)
Epoch: [20][2350/14090]	Time 0.737 (0.770)	Data 0.001 (0.003)	Loss 2.6742 (2.7536)	Prec@1 34.375 (34.333)	Prec@5 67.188 (64.716)
Epoch: [20][2360/14090]	Time 0.751 (0.770)	Data 0.001 (0.003)	Loss 2.6111 (2.7535)	Prec@1 36.719 (34.341)	Prec@5 66.406 (64.724)
Epoch: [20][2370/14090]	Time 0.760 (0.770)	Data 0.001 (0.003)	Loss 2.4748 (2.7534)	Prec@1 44.531 (34.343)	Prec@5 65.625 (64.725)
Epoch: [20][2380/14090]	Time 0.775 (0.770)	Data 0.001 (0.003)	Loss 2.8075 (2.7536)	Prec@1 37.500 (34.343)	Prec@5 59.375 (64.719)
Epoch: [20][2390/14090]	Time 0.862 (0.770)	Data 0.001 (0.003)	Loss 2.8238 (2.7542)	Prec@1 36.719 (34.328)	Prec@5 64.844 (64.713)
Epoch: [20][2400/14090]	Time 0.758 (0.770)	Data 0.001 (0.003)	Loss 2.5986 (2.7541)	Prec@1 39.062 (34.335)	Prec@5 68.750 (64.717)
Epoch: [20][2410/14090]	Time 0.783 (0.770)	Data 0.001 (0.003)	Loss 3.0321 (2.7540)	Prec@1 28.906 (34.341)	Prec@5 59.375 (64.721)
Epoch: [20][2420/14090]	Time 0.743 (0.770)	Data 0.001 (0.003)	Loss 2.6109 (2.7538)	Prec@1 34.375 (34.338)	Prec@5 69.531 (64.721)
Epoch: [20][2430/14090]	Time 0.725 (0.770)	Data 0.001 (0.003)	Loss 2.5759 (2.7540)	Prec@1 37.500 (34.328)	Prec@5 71.875 (64.720)
Epoch: [20][2440/14090]	Time 0.751 (0.770)	Data 0.001 (0.003)	Loss 2.7941 (2.7542)	Prec@1 35.156 (34.317)	Prec@5 60.938 (64.719)
Epoch: [20][2450/14090]	Time 0.766 (0.770)	Data 0.001 (0.003)	Loss 2.8165 (2.7541)	Prec@1 35.156 (34.318)	Prec@5 61.719 (64.715)
Epoch: [20][2460/14090]	Time 0.874 (0.770)	Data 0.001 (0.003)	Loss 2.9897 (2.7543)	Prec@1 28.125 (34.308)	Prec@5 58.594 (64.715)
Epoch: [20][2470/14090]	Time 0.735 (0.770)	Data 0.001 (0.003)	Loss 2.5896 (2.7543)	Prec@1 39.062 (34.305)	Prec@5 71.094 (64.714)
Epoch: [20][2480/14090]	Time 0.726 (0.770)	Data 0.001 (0.003)	Loss 2.7127 (2.7543)	Prec@1 35.938 (34.301)	Prec@5 67.188 (64.719)
Epoch: [20][2490/14090]	Time 0.774 (0.770)	Data 0.001 (0.003)	Loss 2.7236 (2.7547)	Prec@1 28.906 (34.298)	Prec@5 68.750 (64.717)
Epoch: [20][2500/14090]	Time 0.757 (0.770)	Data 0.001 (0.003)	Loss 2.8704 (2.7549)	Prec@1 34.375 (34.295)	Prec@5 62.500 (64.712)
Epoch: [20][2510/14090]	Time 0.740 (0.770)	Data 0.001 (0.003)	Loss 2.7694 (2.7548)	Prec@1 30.469 (34.301)	Prec@5 65.625 (64.709)
Epoch: [20][2520/14090]	Time 0.779 (0.770)	Data 0.001 (0.003)	Loss 2.5150 (2.7548)	Prec@1 35.938 (34.298)	Prec@5 67.969 (64.715)
Epoch: [20][2530/14090]	Time 0.983 (0.770)	Data 0.001 (0.002)	Loss 2.5707 (2.7546)	Prec@1 42.969 (34.303)	Prec@5 63.281 (64.715)
Epoch: [20][2540/14090]	Time 0.776 (0.770)	Data 0.001 (0.002)	Loss 2.7327 (2.7545)	Prec@1 37.500 (34.304)	Prec@5 62.500 (64.718)
Epoch: [20][2550/14090]	Time 0.767 (0.770)	Data 0.002 (0.002)	Loss 2.9582 (2.7547)	Prec@1 28.906 (34.299)	Prec@5 62.500 (64.716)
Epoch: [20][2560/14090]	Time 0.739 (0.770)	Data 0.001 (0.002)	Loss 2.6073 (2.7549)	Prec@1 38.281 (34.295)	Prec@5 67.969 (64.713)
Epoch: [20][2570/14090]	Time 0.752 (0.770)	Data 0.001 (0.002)	Loss 2.7461 (2.7549)	Prec@1 32.031 (34.291)	Prec@5 63.281 (64.711)
Epoch: [20][2580/14090]	Time 0.763 (0.770)	Data 0.001 (0.002)	Loss 2.4777 (2.7548)	Prec@1 32.812 (34.285)	Prec@5 71.875 (64.709)
Epoch: [20][2590/14090]	Time 0.726 (0.770)	Data 0.001 (0.002)	Loss 2.5123 (2.7547)	Prec@1 35.156 (34.282)	Prec@5 67.969 (64.713)
Epoch: [20][2600/14090]	Time 0.869 (0.770)	Data 0.001 (0.002)	Loss 2.6105 (2.7547)	Prec@1 35.156 (34.281)	Prec@5 63.281 (64.709)
Epoch: [20][2610/14090]	Time 0.751 (0.770)	Data 0.001 (0.002)	Loss 2.6838 (2.7546)	Prec@1 35.938 (34.282)	Prec@5 65.625 (64.709)
Epoch: [20][2620/14090]	Time 0.734 (0.770)	Data 0.001 (0.002)	Loss 3.1359 (2.7552)	Prec@1 27.344 (34.267)	Prec@5 54.688 (64.698)
Epoch: [20][2630/14090]	Time 0.729 (0.770)	Data 0.001 (0.002)	Loss 2.9317 (2.7552)	Prec@1 28.906 (34.265)	Prec@5 64.844 (64.697)
Epoch: [20][2640/14090]	Time 0.745 (0.770)	Data 0.001 (0.002)	Loss 2.3925 (2.7552)	Prec@1 46.875 (34.272)	Prec@5 68.750 (64.699)
Epoch: [20][2650/14090]	Time 0.742 (0.770)	Data 0.001 (0.002)	Loss 2.7234 (2.7549)	Prec@1 32.812 (34.276)	Prec@5 63.281 (64.707)
Epoch: [20][2660/14090]	Time 0.731 (0.770)	Data 0.001 (0.002)	Loss 2.5296 (2.7549)	Prec@1 41.406 (34.280)	Prec@5 69.531 (64.708)
Epoch: [20][2670/14090]	Time 0.852 (0.770)	Data 0.001 (0.002)	Loss 3.0174 (2.7550)	Prec@1 31.250 (34.286)	Prec@5 59.375 (64.708)
Epoch: [20][2680/14090]	Time 0.738 (0.770)	Data 0.001 (0.002)	Loss 2.9087 (2.7550)	Prec@1 30.469 (34.286)	Prec@5 61.719 (64.704)
Epoch: [20][2690/14090]	Time 0.755 (0.770)	Data 0.001 (0.002)	Loss 3.0590 (2.7548)	Prec@1 26.562 (34.291)	Prec@5 64.844 (64.706)
Epoch: [20][2700/14090]	Time 0.745 (0.770)	Data 0.001 (0.002)	Loss 3.0503 (2.7552)	Prec@1 28.906 (34.287)	Prec@5 61.719 (64.701)
Epoch: [20][2710/14090]	Time 0.747 (0.770)	Data 0.001 (0.002)	Loss 2.8691 (2.7552)	Prec@1 30.469 (34.286)	Prec@5 62.500 (64.701)
Epoch: [20][2720/14090]	Time 0.737 (0.770)	Data 0.001 (0.002)	Loss 2.9135 (2.7549)	Prec@1 28.906 (34.297)	Prec@5 63.281 (64.702)
Epoch: [20][2730/14090]	Time 0.736 (0.770)	Data 0.001 (0.002)	Loss 3.0273 (2.7552)	Prec@1 32.812 (34.288)	Prec@5 57.812 (64.697)
Epoch: [20][2740/14090]	Time 0.830 (0.770)	Data 0.001 (0.002)	Loss 2.4381 (2.7553)	Prec@1 45.312 (34.290)	Prec@5 69.531 (64.695)
Epoch: [20][2750/14090]	Time 0.733 (0.770)	Data 0.001 (0.002)	Loss 2.6880 (2.7554)	Prec@1 33.594 (34.286)	Prec@5 69.531 (64.694)
Epoch: [20][2760/14090]	Time 0.758 (0.770)	Data 0.001 (0.002)	Loss 2.6827 (2.7553)	Prec@1 32.812 (34.283)	Prec@5 71.875 (64.701)
Epoch: [20][2770/14090]	Time 0.747 (0.770)	Data 0.001 (0.002)	Loss 2.6366 (2.7550)	Prec@1 40.625 (34.288)	Prec@5 67.969 (64.705)
Epoch: [20][2780/14090]	Time 0.781 (0.770)	Data 0.001 (0.002)	Loss 2.7709 (2.7551)	Prec@1 32.031 (34.283)	Prec@5 65.625 (64.708)
Epoch: [20][2790/14090]	Time 0.738 (0.770)	Data 0.001 (0.002)	Loss 2.8416 (2.7552)	Prec@1 32.812 (34.280)	Prec@5 64.062 (64.704)
Epoch: [20][2800/14090]	Time 0.736 (0.770)	Data 0.001 (0.002)	Loss 2.6469 (2.7551)	Prec@1 35.156 (34.278)	Prec@5 66.406 (64.701)
Epoch: [20][2810/14090]	Time 0.862 (0.770)	Data 0.001 (0.002)	Loss 2.7949 (2.7549)	Prec@1 31.250 (34.281)	Prec@5 57.812 (64.702)
Epoch: [20][2820/14090]	Time 0.727 (0.770)	Data 0.001 (0.002)	Loss 2.8104 (2.7551)	Prec@1 35.938 (34.277)	Prec@5 65.625 (64.697)
Epoch: [20][2830/14090]	Time 0.729 (0.770)	Data 0.001 (0.002)	Loss 2.9466 (2.7550)	Prec@1 35.156 (34.279)	Prec@5 60.938 (64.699)
Epoch: [20][2840/14090]	Time 0.742 (0.770)	Data 0.001 (0.002)	Loss 2.9474 (2.7550)	Prec@1 32.812 (34.279)	Prec@5 60.938 (64.697)
Epoch: [20][2850/14090]	Time 0.742 (0.770)	Data 0.001 (0.002)	Loss 2.8491 (2.7552)	Prec@1 30.469 (34.271)	Prec@5 67.969 (64.690)
Epoch: [20][2860/14090]	Time 0.732 (0.770)	Data 0.001 (0.002)	Loss 2.5932 (2.7553)	Prec@1 36.719 (34.275)	Prec@5 65.625 (64.689)
Epoch: [20][2870/14090]	Time 0.786 (0.770)	Data 0.001 (0.002)	Loss 2.7545 (2.7554)	Prec@1 37.500 (34.278)	Prec@5 67.969 (64.690)
Epoch: [20][2880/14090]	Time 0.828 (0.770)	Data 0.001 (0.002)	Loss 3.0233 (2.7557)	Prec@1 32.812 (34.276)	Prec@5 57.031 (64.681)
Epoch: [20][2890/14090]	Time 0.786 (0.770)	Data 0.001 (0.002)	Loss 2.6002 (2.7555)	Prec@1 39.844 (34.282)	Prec@5 70.312 (64.682)
Epoch: [20][2900/14090]	Time 0.748 (0.770)	Data 0.001 (0.002)	Loss 2.5636 (2.7557)	Prec@1 37.500 (34.278)	Prec@5 71.094 (64.684)
Epoch: [20][2910/14090]	Time 0.752 (0.770)	Data 0.001 (0.002)	Loss 2.6589 (2.7557)	Prec@1 32.812 (34.278)	Prec@5 64.844 (64.683)
Epoch: [20][2920/14090]	Time 0.729 (0.770)	Data 0.001 (0.002)	Loss 2.8145 (2.7560)	Prec@1 31.250 (34.269)	Prec@5 62.500 (64.675)
Epoch: [20][2930/14090]	Time 0.743 (0.770)	Data 0.001 (0.002)	Loss 2.7413 (2.7562)	Prec@1 28.125 (34.261)	Prec@5 64.844 (64.670)
Epoch: [20][2940/14090]	Time 0.782 (0.770)	Data 0.001 (0.002)	Loss 2.5756 (2.7559)	Prec@1 40.625 (34.266)	Prec@5 68.750 (64.675)
Epoch: [20][2950/14090]	Time 0.897 (0.770)	Data 0.001 (0.002)	Loss 2.9121 (2.7557)	Prec@1 30.469 (34.270)	Prec@5 60.938 (64.680)
Epoch: [20][2960/14090]	Time 0.769 (0.770)	Data 0.001 (0.002)	Loss 2.6444 (2.7556)	Prec@1 34.375 (34.276)	Prec@5 66.406 (64.683)
Epoch: [20][2970/14090]	Time 0.758 (0.770)	Data 0.001 (0.002)	Loss 2.5607 (2.7558)	Prec@1 39.062 (34.273)	Prec@5 67.969 (64.678)
Epoch: [20][2980/14090]	Time 0.754 (0.770)	Data 0.001 (0.002)	Loss 2.9525 (2.7561)	Prec@1 22.656 (34.272)	Prec@5 61.719 (64.672)
Epoch: [20][2990/14090]	Time 0.746 (0.770)	Data 0.001 (0.002)	Loss 2.9162 (2.7561)	Prec@1 32.031 (34.277)	Prec@5 60.156 (64.673)
Epoch: [20][3000/14090]	Time 0.727 (0.770)	Data 0.001 (0.002)	Loss 2.6343 (2.7560)	Prec@1 35.938 (34.276)	Prec@5 68.750 (64.682)
Epoch: [20][3010/14090]	Time 0.729 (0.770)	Data 0.001 (0.002)	Loss 2.8949 (2.7560)	Prec@1 27.344 (34.272)	Prec@5 63.281 (64.683)
Epoch: [20][3020/14090]	Time 0.882 (0.770)	Data 0.001 (0.002)	Loss 3.2443 (2.7559)	Prec@1 28.125 (34.270)	Prec@5 53.125 (64.682)
Epoch: [20][3030/14090]	Time 0.731 (0.770)	Data 0.001 (0.002)	Loss 2.6721 (2.7558)	Prec@1 39.844 (34.274)	Prec@5 65.625 (64.677)
Epoch: [20][3040/14090]	Time 0.758 (0.770)	Data 0.001 (0.002)	Loss 2.8103 (2.7558)	Prec@1 31.250 (34.279)	Prec@5 64.844 (64.674)
Epoch: [20][3050/14090]	Time 0.772 (0.770)	Data 0.001 (0.002)	Loss 3.3137 (2.7561)	Prec@1 29.688 (34.275)	Prec@5 51.562 (64.669)
Epoch: [20][3060/14090]	Time 0.756 (0.770)	Data 0.001 (0.002)	Loss 2.6462 (2.7561)	Prec@1 35.938 (34.277)	Prec@5 64.062 (64.670)
Epoch: [20][3070/14090]	Time 0.755 (0.770)	Data 0.001 (0.002)	Loss 2.4193 (2.7560)	Prec@1 35.156 (34.276)	Prec@5 75.781 (64.671)
Epoch: [20][3080/14090]	Time 0.747 (0.770)	Data 0.001 (0.002)	Loss 2.7936 (2.7558)	Prec@1 32.812 (34.282)	Prec@5 67.969 (64.677)
Epoch: [20][3090/14090]	Time 0.879 (0.770)	Data 0.001 (0.002)	Loss 2.2571 (2.7557)	Prec@1 43.750 (34.286)	Prec@5 78.906 (64.674)
Epoch: [20][3100/14090]	Time 0.734 (0.770)	Data 0.001 (0.002)	Loss 2.6731 (2.7558)	Prec@1 35.938 (34.276)	Prec@5 68.750 (64.675)
Epoch: [20][3110/14090]	Time 0.751 (0.770)	Data 0.001 (0.002)	Loss 2.6376 (2.7558)	Prec@1 35.156 (34.272)	Prec@5 61.719 (64.672)
Epoch: [20][3120/14090]	Time 0.777 (0.770)	Data 0.001 (0.002)	Loss 2.8867 (2.7556)	Prec@1 33.594 (34.274)	Prec@5 64.844 (64.675)
Epoch: [20][3130/14090]	Time 0.731 (0.770)	Data 0.001 (0.002)	Loss 2.6410 (2.7552)	Prec@1 37.500 (34.278)	Prec@5 67.969 (64.685)
Epoch: [20][3140/14090]	Time 0.735 (0.770)	Data 0.001 (0.002)	Loss 2.5520 (2.7551)	Prec@1 35.156 (34.276)	Prec@5 71.094 (64.693)
Epoch: [20][3150/14090]	Time 0.757 (0.770)	Data 0.001 (0.002)	Loss 2.5742 (2.7553)	Prec@1 38.281 (34.273)	Prec@5 72.656 (64.691)
Epoch: [20][3160/14090]	Time 0.886 (0.770)	Data 0.001 (0.002)	Loss 2.5145 (2.7554)	Prec@1 33.594 (34.272)	Prec@5 67.188 (64.687)
Epoch: [20][3170/14090]	Time 0.742 (0.770)	Data 0.001 (0.002)	Loss 2.5416 (2.7554)	Prec@1 40.625 (34.273)	Prec@5 64.844 (64.689)
Epoch: [20][3180/14090]	Time 0.759 (0.770)	Data 0.001 (0.002)	Loss 2.5968 (2.7554)	Prec@1 37.500 (34.274)	Prec@5 61.719 (64.684)
Epoch: [20][3190/14090]	Time 0.742 (0.770)	Data 0.001 (0.002)	Loss 2.9436 (2.7558)	Prec@1 30.469 (34.272)	Prec@5 59.375 (64.680)
Epoch: [20][3200/14090]	Time 0.739 (0.770)	Data 0.001 (0.002)	Loss 2.7288 (2.7560)	Prec@1 32.812 (34.263)	Prec@5 67.188 (64.679)
Epoch: [20][3210/14090]	Time 0.775 (0.770)	Data 0.001 (0.002)	Loss 2.5823 (2.7561)	Prec@1 32.812 (34.261)	Prec@5 67.969 (64.674)
Epoch: [20][3220/14090]	Time 0.753 (0.770)	Data 0.001 (0.002)	Loss 2.9174 (2.7561)	Prec@1 33.594 (34.262)	Prec@5 58.594 (64.669)
Epoch: [20][3230/14090]	Time 0.881 (0.770)	Data 0.001 (0.002)	Loss 2.6300 (2.7562)	Prec@1 36.719 (34.264)	Prec@5 66.406 (64.672)
Epoch: [20][3240/14090]	Time 0.761 (0.770)	Data 0.001 (0.002)	Loss 2.7460 (2.7564)	Prec@1 32.031 (34.257)	Prec@5 64.062 (64.667)
Epoch: [20][3250/14090]	Time 0.733 (0.770)	Data 0.001 (0.002)	Loss 2.5729 (2.7566)	Prec@1 38.281 (34.251)	Prec@5 71.094 (64.661)
Epoch: [20][3260/14090]	Time 0.741 (0.770)	Data 0.001 (0.002)	Loss 2.6156 (2.7560)	Prec@1 28.906 (34.260)	Prec@5 67.188 (64.668)
Epoch: [20][3270/14090]	Time 0.769 (0.770)	Data 0.001 (0.002)	Loss 2.8188 (2.7561)	Prec@1 35.156 (34.260)	Prec@5 58.594 (64.667)
Epoch: [20][3280/14090]	Time 0.753 (0.770)	Data 0.001 (0.002)	Loss 2.6749 (2.7560)	Prec@1 35.156 (34.260)	Prec@5 59.375 (64.665)
Epoch: [20][3290/14090]	Time 0.764 (0.770)	Data 0.001 (0.002)	Loss 2.5875 (2.7560)	Prec@1 31.250 (34.253)	Prec@5 67.188 (64.667)
Epoch: [20][3300/14090]	Time 0.873 (0.770)	Data 0.001 (0.002)	Loss 2.5129 (2.7560)	Prec@1 38.281 (34.254)	Prec@5 66.406 (64.665)
Epoch: [20][3310/14090]	Time 0.749 (0.770)	Data 0.001 (0.002)	Loss 2.7755 (2.7562)	Prec@1 35.156 (34.253)	Prec@5 66.406 (64.663)
Epoch: [20][3320/14090]	Time 0.738 (0.770)	Data 0.001 (0.002)	Loss 2.7899 (2.7563)	Prec@1 34.375 (34.249)	Prec@5 66.406 (64.663)
Epoch: [20][3330/14090]	Time 0.739 (0.770)	Data 0.001 (0.002)	Loss 2.5647 (2.7558)	Prec@1 39.844 (34.259)	Prec@5 67.969 (64.669)
Epoch: [20][3340/14090]	Time 0.730 (0.770)	Data 0.001 (0.002)	Loss 3.2224 (2.7560)	Prec@1 32.031 (34.259)	Prec@5 53.906 (64.661)
Epoch: [20][3350/14090]	Time 0.728 (0.770)	Data 0.001 (0.002)	Loss 2.9377 (2.7563)	Prec@1 29.688 (34.260)	Prec@5 63.281 (64.659)
Epoch: [20][3360/14090]	Time 0.737 (0.769)	Data 0.001 (0.002)	Loss 2.7822 (2.7560)	Prec@1 32.812 (34.266)	Prec@5 64.062 (64.660)
Epoch: [20][3370/14090]	Time 0.887 (0.770)	Data 0.001 (0.002)	Loss 2.6442 (2.7560)	Prec@1 36.719 (34.268)	Prec@5 65.625 (64.657)
Epoch: [20][3380/14090]	Time 0.740 (0.769)	Data 0.001 (0.002)	Loss 2.7412 (2.7561)	Prec@1 35.938 (34.263)	Prec@5 70.312 (64.654)
Epoch: [20][3390/14090]	Time 0.747 (0.769)	Data 0.001 (0.002)	Loss 2.5524 (2.7561)	Prec@1 37.500 (34.262)	Prec@5 70.312 (64.655)
Epoch: [20][3400/14090]	Time 0.731 (0.769)	Data 0.001 (0.002)	Loss 2.9101 (2.7561)	Prec@1 35.938 (34.259)	Prec@5 60.156 (64.657)
Epoch: [20][3410/14090]	Time 0.784 (0.769)	Data 0.001 (0.002)	Loss 2.6298 (2.7560)	Prec@1 36.719 (34.256)	Prec@5 68.750 (64.656)
Epoch: [20][3420/14090]	Time 0.746 (0.770)	Data 0.001 (0.002)	Loss 2.9771 (2.7562)	Prec@1 29.688 (34.256)	Prec@5 64.062 (64.654)
Epoch: [20][3430/14090]	Time 0.746 (0.769)	Data 0.001 (0.002)	Loss 2.9485 (2.7561)	Prec@1 26.562 (34.257)	Prec@5 60.156 (64.659)
Epoch: [20][3440/14090]	Time 0.854 (0.770)	Data 0.001 (0.002)	Loss 2.5310 (2.7560)	Prec@1 35.938 (34.253)	Prec@5 68.750 (64.657)
Epoch: [20][3450/14090]	Time 0.757 (0.769)	Data 0.002 (0.002)	Loss 2.6870 (2.7561)	Prec@1 29.688 (34.248)	Prec@5 70.312 (64.657)
Epoch: [20][3460/14090]	Time 0.729 (0.769)	Data 0.001 (0.002)	Loss 2.6210 (2.7558)	Prec@1 33.594 (34.250)	Prec@5 64.062 (64.658)
Epoch: [20][3470/14090]	Time 0.757 (0.770)	Data 0.001 (0.002)	Loss 3.0144 (2.7556)	Prec@1 26.562 (34.254)	Prec@5 61.719 (64.662)
Epoch: [20][3480/14090]	Time 0.759 (0.769)	Data 0.001 (0.002)	Loss 2.6197 (2.7557)	Prec@1 35.938 (34.256)	Prec@5 61.719 (64.654)
Epoch: [20][3490/14090]	Time 0.759 (0.770)	Data 0.001 (0.002)	Loss 3.0397 (2.7556)	Prec@1 30.469 (34.260)	Prec@5 55.469 (64.656)
Epoch: [20][3500/14090]	Time 0.723 (0.769)	Data 0.001 (0.002)	Loss 3.2349 (2.7557)	Prec@1 24.219 (34.260)	Prec@5 57.812 (64.653)
Epoch: [20][3510/14090]	Time 0.836 (0.769)	Data 0.001 (0.002)	Loss 2.7838 (2.7556)	Prec@1 32.812 (34.260)	Prec@5 67.188 (64.657)
Epoch: [20][3520/14090]	Time 0.730 (0.769)	Data 0.001 (0.002)	Loss 2.7790 (2.7556)	Prec@1 35.938 (34.262)	Prec@5 60.156 (64.659)
Epoch: [20][3530/14090]	Time 0.733 (0.769)	Data 0.001 (0.002)	Loss 2.5333 (2.7556)	Prec@1 38.281 (34.259)	Prec@5 68.750 (64.659)
Epoch: [20][3540/14090]	Time 0.731 (0.769)	Data 0.001 (0.002)	Loss 2.6873 (2.7558)	Prec@1 33.594 (34.257)	Prec@5 65.625 (64.652)
Epoch: [20][3550/14090]	Time 0.766 (0.769)	Data 0.001 (0.002)	Loss 2.8720 (2.7559)	Prec@1 30.469 (34.250)	Prec@5 60.938 (64.648)
Epoch: [20][3560/14090]	Time 0.760 (0.769)	Data 0.001 (0.002)	Loss 2.9148 (2.7562)	Prec@1 29.688 (34.245)	Prec@5 64.062 (64.642)
Epoch: [20][3570/14090]	Time 0.741 (0.769)	Data 0.001 (0.002)	Loss 2.7930 (2.7562)	Prec@1 26.562 (34.239)	Prec@5 60.938 (64.642)
Epoch: [20][3580/14090]	Time 0.838 (0.769)	Data 0.001 (0.002)	Loss 2.8497 (2.7563)	Prec@1 30.469 (34.235)	Prec@5 61.719 (64.639)
Epoch: [20][3590/14090]	Time 0.770 (0.769)	Data 0.001 (0.002)	Loss 2.7038 (2.7563)	Prec@1 35.156 (34.234)	Prec@5 66.406 (64.638)
Epoch: [20][3600/14090]	Time 0.748 (0.769)	Data 0.001 (0.002)	Loss 2.9207 (2.7562)	Prec@1 30.469 (34.237)	Prec@5 55.469 (64.638)
Epoch: [20][3610/14090]	Time 0.768 (0.769)	Data 0.001 (0.002)	Loss 2.7084 (2.7564)	Prec@1 35.156 (34.235)	Prec@5 64.844 (64.634)
Epoch: [20][3620/14090]	Time 0.762 (0.769)	Data 0.002 (0.002)	Loss 3.0004 (2.7566)	Prec@1 32.031 (34.236)	Prec@5 64.062 (64.631)
Epoch: [20][3630/14090]	Time 0.731 (0.770)	Data 0.001 (0.002)	Loss 2.6489 (2.7564)	Prec@1 32.812 (34.237)	Prec@5 65.625 (64.632)
Epoch: [20][3640/14090]	Time 0.750 (0.770)	Data 0.001 (0.002)	Loss 2.7543 (2.7565)	Prec@1 31.250 (34.236)	Prec@5 63.281 (64.626)
Epoch: [20][3650/14090]	Time 0.858 (0.770)	Data 0.001 (0.002)	Loss 2.5124 (2.7567)	Prec@1 39.844 (34.236)	Prec@5 66.406 (64.620)
Epoch: [20][3660/14090]	Time 0.737 (0.769)	Data 0.001 (0.002)	Loss 2.5412 (2.7566)	Prec@1 41.406 (34.242)	Prec@5 67.188 (64.620)
Epoch: [20][3670/14090]	Time 0.742 (0.769)	Data 0.001 (0.002)	Loss 2.7985 (2.7569)	Prec@1 36.719 (34.238)	Prec@5 62.500 (64.609)
Epoch: [20][3680/14090]	Time 0.725 (0.769)	Data 0.001 (0.002)	Loss 2.9982 (2.7570)	Prec@1 26.562 (34.231)	Prec@5 63.281 (64.604)
Epoch: [20][3690/14090]	Time 0.757 (0.769)	Data 0.001 (0.002)	Loss 2.7131 (2.7572)	Prec@1 33.594 (34.235)	Prec@5 65.625 (64.602)
Epoch: [20][3700/14090]	Time 0.741 (0.769)	Data 0.001 (0.002)	Loss 2.7962 (2.7573)	Prec@1 31.250 (34.234)	Prec@5 62.500 (64.599)
Epoch: [20][3710/14090]	Time 0.729 (0.769)	Data 0.001 (0.002)	Loss 2.7980 (2.7572)	Prec@1 38.281 (34.234)	Prec@5 64.062 (64.598)
Epoch: [20][3720/14090]	Time 0.864 (0.769)	Data 0.002 (0.002)	Loss 2.8085 (2.7571)	Prec@1 33.594 (34.240)	Prec@5 66.406 (64.600)
Epoch: [20][3730/14090]	Time 0.744 (0.769)	Data 0.001 (0.002)	Loss 2.7731 (2.7573)	Prec@1 31.250 (34.237)	Prec@5 68.750 (64.596)
Epoch: [20][3740/14090]	Time 0.745 (0.769)	Data 0.001 (0.002)	Loss 2.8705 (2.7571)	Prec@1 25.781 (34.241)	Prec@5 64.062 (64.601)
Epoch: [20][3750/14090]	Time 0.724 (0.769)	Data 0.001 (0.002)	Loss 3.1157 (2.7571)	Prec@1 28.906 (34.245)	Prec@5 64.062 (64.606)
Epoch: [20][3760/14090]	Time 0.743 (0.769)	Data 0.001 (0.002)	Loss 3.1047 (2.7572)	Prec@1 24.219 (34.241)	Prec@5 64.062 (64.605)
Epoch: [20][3770/14090]	Time 0.738 (0.769)	Data 0.001 (0.002)	Loss 2.6122 (2.7573)	Prec@1 35.156 (34.240)	Prec@5 69.531 (64.604)
Epoch: [20][3780/14090]	Time 0.752 (0.769)	Data 0.001 (0.002)	Loss 3.0084 (2.7575)	Prec@1 32.031 (34.236)	Prec@5 59.375 (64.600)
Epoch: [20][3790/14090]	Time 0.830 (0.769)	Data 0.001 (0.002)	Loss 2.8496 (2.7574)	Prec@1 32.812 (34.236)	Prec@5 62.500 (64.601)
Epoch: [20][3800/14090]	Time 0.754 (0.769)	Data 0.001 (0.002)	Loss 2.7283 (2.7576)	Prec@1 38.281 (34.236)	Prec@5 64.844 (64.598)
Epoch: [20][3810/14090]	Time 0.740 (0.769)	Data 0.001 (0.002)	Loss 2.8582 (2.7575)	Prec@1 35.156 (34.239)	Prec@5 64.062 (64.600)
Epoch: [20][3820/14090]	Time 0.750 (0.769)	Data 0.001 (0.002)	Loss 2.7704 (2.7576)	Prec@1 29.688 (34.234)	Prec@5 64.844 (64.598)
Epoch: [20][3830/14090]	Time 0.738 (0.769)	Data 0.001 (0.002)	Loss 2.4692 (2.7574)	Prec@1 36.719 (34.239)	Prec@5 76.562 (64.602)
Epoch: [20][3840/14090]	Time 0.760 (0.769)	Data 0.001 (0.002)	Loss 2.6252 (2.7572)	Prec@1 36.719 (34.244)	Prec@5 66.406 (64.607)
Epoch: [20][3850/14090]	Time 0.782 (0.769)	Data 0.001 (0.002)	Loss 2.7177 (2.7571)	Prec@1 41.406 (34.248)	Prec@5 65.625 (64.609)
Epoch: [20][3860/14090]	Time 0.859 (0.769)	Data 0.001 (0.002)	Loss 2.7233 (2.7572)	Prec@1 36.719 (34.247)	Prec@5 64.062 (64.607)
Epoch: [20][3870/14090]	Time 0.775 (0.769)	Data 0.001 (0.002)	Loss 2.6979 (2.7571)	Prec@1 34.375 (34.248)	Prec@5 64.062 (64.605)
Epoch: [20][3880/14090]	Time 0.770 (0.769)	Data 0.002 (0.002)	Loss 2.9845 (2.7571)	Prec@1 30.469 (34.249)	Prec@5 57.812 (64.604)
Epoch: [20][3890/14090]	Time 0.728 (0.769)	Data 0.001 (0.002)	Loss 2.8733 (2.7570)	Prec@1 35.156 (34.248)	Prec@5 60.938 (64.603)
Epoch: [20][3900/14090]	Time 0.788 (0.769)	Data 0.001 (0.002)	Loss 2.8831 (2.7570)	Prec@1 26.562 (34.243)	Prec@5 64.062 (64.603)
Epoch: [20][3910/14090]	Time 0.731 (0.769)	Data 0.001 (0.002)	Loss 2.7622 (2.7571)	Prec@1 33.594 (34.237)	Prec@5 68.750 (64.600)
Epoch: [20][3920/14090]	Time 0.728 (0.769)	Data 0.001 (0.002)	Loss 2.9475 (2.7571)	Prec@1 27.344 (34.238)	Prec@5 61.719 (64.601)
Epoch: [20][3930/14090]	Time 0.856 (0.769)	Data 0.001 (0.002)	Loss 2.6316 (2.7570)	Prec@1 39.062 (34.237)	Prec@5 67.969 (64.606)
Epoch: [20][3940/14090]	Time 0.759 (0.769)	Data 0.001 (0.002)	Loss 2.9477 (2.7570)	Prec@1 29.688 (34.238)	Prec@5 59.375 (64.606)
Epoch: [20][3950/14090]	Time 0.775 (0.769)	Data 0.001 (0.002)	Loss 2.6961 (2.7569)	Prec@1 37.500 (34.242)	Prec@5 64.844 (64.611)
Epoch: [20][3960/14090]	Time 0.740 (0.769)	Data 0.001 (0.002)	Loss 2.8108 (2.7570)	Prec@1 27.344 (34.239)	Prec@5 67.969 (64.609)
Epoch: [20][3970/14090]	Time 0.737 (0.769)	Data 0.001 (0.002)	Loss 2.5584 (2.7570)	Prec@1 39.062 (34.236)	Prec@5 70.312 (64.610)
Epoch: [20][3980/14090]	Time 0.741 (0.769)	Data 0.001 (0.002)	Loss 2.6488 (2.7572)	Prec@1 39.844 (34.234)	Prec@5 67.188 (64.604)
Epoch: [20][3990/14090]	Time 0.758 (0.769)	Data 0.001 (0.002)	Loss 2.7342 (2.7571)	Prec@1 29.688 (34.232)	Prec@5 67.188 (64.608)
Epoch: [20][4000/14090]	Time 0.888 (0.769)	Data 0.001 (0.002)	Loss 2.9981 (2.7570)	Prec@1 29.688 (34.232)	Prec@5 58.594 (64.609)
Epoch: [20][4010/14090]	Time 0.777 (0.769)	Data 0.001 (0.002)	Loss 2.6862 (2.7568)	Prec@1 38.281 (34.235)	Prec@5 71.094 (64.618)
Epoch: [20][4020/14090]	Time 0.759 (0.769)	Data 0.001 (0.002)	Loss 2.6073 (2.7567)	Prec@1 39.844 (34.241)	Prec@5 71.094 (64.618)
Epoch: [20][4030/14090]	Time 0.730 (0.769)	Data 0.001 (0.002)	Loss 2.7605 (2.7568)	Prec@1 35.938 (34.241)	Prec@5 62.500 (64.615)
Epoch: [20][4040/14090]	Time 0.782 (0.769)	Data 0.001 (0.002)	Loss 2.3863 (2.7566)	Prec@1 45.312 (34.244)	Prec@5 73.438 (64.616)
Epoch: [20][4050/14090]	Time 0.747 (0.769)	Data 0.001 (0.002)	Loss 2.8016 (2.7565)	Prec@1 32.031 (34.249)	Prec@5 62.500 (64.621)
Epoch: [20][4060/14090]	Time 0.761 (0.769)	Data 0.001 (0.002)	Loss 2.9523 (2.7564)	Prec@1 28.125 (34.250)	Prec@5 60.938 (64.622)
Epoch: [20][4070/14090]	Time 0.864 (0.769)	Data 0.001 (0.002)	Loss 2.9607 (2.7565)	Prec@1 32.031 (34.249)	Prec@5 64.062 (64.617)
Epoch: [20][4080/14090]	Time 0.744 (0.769)	Data 0.001 (0.002)	Loss 2.5075 (2.7565)	Prec@1 35.156 (34.249)	Prec@5 74.219 (64.618)
Epoch: [20][4090/14090]	Time 0.771 (0.769)	Data 0.001 (0.002)	Loss 2.6664 (2.7565)	Prec@1 37.500 (34.249)	Prec@5 66.406 (64.615)
Epoch: [20][4100/14090]	Time 0.782 (0.769)	Data 0.001 (0.002)	Loss 2.4968 (2.7564)	Prec@1 43.750 (34.252)	Prec@5 71.094 (64.616)
Epoch: [20][4110/14090]	Time 0.774 (0.769)	Data 0.001 (0.002)	Loss 2.7078 (2.7562)	Prec@1 35.156 (34.257)	Prec@5 65.625 (64.622)
Epoch: [20][4120/14090]	Time 0.742 (0.769)	Data 0.001 (0.002)	Loss 3.0209 (2.7564)	Prec@1 31.250 (34.254)	Prec@5 63.281 (64.622)
Epoch: [20][4130/14090]	Time 0.781 (0.769)	Data 0.001 (0.002)	Loss 2.4939 (2.7563)	Prec@1 39.844 (34.256)	Prec@5 72.656 (64.623)
Epoch: [20][4140/14090]	Time 0.865 (0.769)	Data 0.001 (0.002)	Loss 2.5579 (2.7564)	Prec@1 32.812 (34.255)	Prec@5 69.531 (64.624)
Epoch: [20][4150/14090]	Time 0.741 (0.769)	Data 0.001 (0.002)	Loss 3.1160 (2.7566)	Prec@1 28.125 (34.249)	Prec@5 51.562 (64.617)
Epoch: [20][4160/14090]	Time 0.733 (0.769)	Data 0.001 (0.002)	Loss 3.2692 (2.7567)	Prec@1 25.781 (34.252)	Prec@5 56.250 (64.621)
Epoch: [20][4170/14090]	Time 0.764 (0.769)	Data 0.001 (0.002)	Loss 2.7613 (2.7565)	Prec@1 36.719 (34.252)	Prec@5 62.500 (64.624)
Epoch: [20][4180/14090]	Time 0.756 (0.769)	Data 0.001 (0.002)	Loss 2.8056 (2.7563)	Prec@1 33.594 (34.257)	Prec@5 64.844 (64.625)
Epoch: [20][4190/14090]	Time 0.758 (0.769)	Data 0.001 (0.002)	Loss 2.9762 (2.7565)	Prec@1 25.781 (34.251)	Prec@5 54.688 (64.619)
Epoch: [20][4200/14090]	Time 0.778 (0.769)	Data 0.001 (0.002)	Loss 2.8555 (2.7565)	Prec@1 29.688 (34.252)	Prec@5 59.375 (64.619)
Epoch: [20][4210/14090]	Time 0.909 (0.769)	Data 0.001 (0.002)	Loss 2.6434 (2.7565)	Prec@1 40.625 (34.253)	Prec@5 65.625 (64.621)
Epoch: [20][4220/14090]	Time 0.731 (0.769)	Data 0.001 (0.002)	Loss 2.6134 (2.7566)	Prec@1 35.938 (34.250)	Prec@5 68.750 (64.621)
Epoch: [20][4230/14090]	Time 0.742 (0.769)	Data 0.001 (0.002)	Loss 2.7801 (2.7565)	Prec@1 35.938 (34.251)	Prec@5 63.281 (64.623)
Epoch: [20][4240/14090]	Time 0.778 (0.769)	Data 0.001 (0.002)	Loss 2.9085 (2.7564)	Prec@1 28.125 (34.252)	Prec@5 59.375 (64.625)
Epoch: [20][4250/14090]	Time 0.758 (0.769)	Data 0.001 (0.002)	Loss 2.9391 (2.7564)	Prec@1 35.156 (34.254)	Prec@5 61.719 (64.623)
Epoch: [20][4260/14090]	Time 0.767 (0.769)	Data 0.001 (0.002)	Loss 2.6075 (2.7562)	Prec@1 35.938 (34.251)	Prec@5 68.750 (64.626)
Epoch: [20][4270/14090]	Time 0.748 (0.769)	Data 0.001 (0.002)	Loss 2.9400 (2.7564)	Prec@1 25.781 (34.247)	Prec@5 60.156 (64.623)
Epoch: [20][4280/14090]	Time 0.870 (0.769)	Data 0.001 (0.002)	Loss 2.6996 (2.7564)	Prec@1 36.719 (34.248)	Prec@5 64.062 (64.627)
Epoch: [20][4290/14090]	Time 0.744 (0.769)	Data 0.001 (0.002)	Loss 2.8814 (2.7563)	Prec@1 32.812 (34.249)	Prec@5 63.281 (64.632)
Epoch: [20][4300/14090]	Time 0.757 (0.769)	Data 0.001 (0.002)	Loss 2.4166 (2.7562)	Prec@1 39.844 (34.252)	Prec@5 74.219 (64.636)
Epoch: [20][4310/14090]	Time 0.728 (0.769)	Data 0.001 (0.002)	Loss 2.8675 (2.7562)	Prec@1 35.156 (34.250)	Prec@5 60.938 (64.639)
Epoch: [20][4320/14090]	Time 0.736 (0.769)	Data 0.001 (0.002)	Loss 2.7092 (2.7565)	Prec@1 35.156 (34.248)	Prec@5 65.625 (64.635)
Epoch: [20][4330/14090]	Time 0.753 (0.769)	Data 0.001 (0.002)	Loss 2.8735 (2.7566)	Prec@1 34.375 (34.247)	Prec@5 63.281 (64.631)
Epoch: [20][4340/14090]	Time 0.757 (0.769)	Data 0.001 (0.002)	Loss 2.6734 (2.7565)	Prec@1 32.812 (34.248)	Prec@5 67.188 (64.632)
Epoch: [20][4350/14090]	Time 0.856 (0.769)	Data 0.001 (0.002)	Loss 2.8024 (2.7566)	Prec@1 33.594 (34.249)	Prec@5 64.062 (64.632)
Epoch: [20][4360/14090]	Time 0.770 (0.769)	Data 0.001 (0.002)	Loss 2.7595 (2.7565)	Prec@1 34.375 (34.250)	Prec@5 66.406 (64.635)
Epoch: [20][4370/14090]	Time 0.761 (0.769)	Data 0.001 (0.002)	Loss 2.5705 (2.7565)	Prec@1 35.938 (34.250)	Prec@5 65.625 (64.632)
Epoch: [20][4380/14090]	Time 0.751 (0.769)	Data 0.001 (0.002)	Loss 2.6056 (2.7565)	Prec@1 39.062 (34.247)	Prec@5 65.625 (64.633)
Epoch: [20][4390/14090]	Time 0.749 (0.769)	Data 0.001 (0.002)	Loss 3.0596 (2.7565)	Prec@1 29.688 (34.247)	Prec@5 60.156 (64.631)
Epoch: [20][4400/14090]	Time 0.728 (0.769)	Data 0.001 (0.002)	Loss 2.5725 (2.7564)	Prec@1 35.938 (34.246)	Prec@5 70.312 (64.635)
Epoch: [20][4410/14090]	Time 0.738 (0.769)	Data 0.001 (0.002)	Loss 2.7338 (2.7566)	Prec@1 35.156 (34.246)	Prec@5 67.188 (64.631)
Epoch: [20][4420/14090]	Time 0.838 (0.769)	Data 0.001 (0.002)	Loss 2.6205 (2.7565)	Prec@1 39.062 (34.243)	Prec@5 71.094 (64.633)
Epoch: [20][4430/14090]	Time 0.754 (0.769)	Data 0.001 (0.002)	Loss 2.4228 (2.7565)	Prec@1 39.844 (34.241)	Prec@5 67.969 (64.632)
Epoch: [20][4440/14090]	Time 0.732 (0.769)	Data 0.001 (0.002)	Loss 2.7081 (2.7564)	Prec@1 33.594 (34.243)	Prec@5 67.969 (64.636)
Epoch: [20][4450/14090]	Time 0.730 (0.769)	Data 0.001 (0.002)	Loss 2.8611 (2.7565)	Prec@1 35.938 (34.243)	Prec@5 60.938 (64.634)
Epoch: [20][4460/14090]	Time 0.760 (0.769)	Data 0.001 (0.002)	Loss 2.7637 (2.7564)	Prec@1 35.156 (34.243)	Prec@5 65.625 (64.635)
Epoch: [20][4470/14090]	Time 0.760 (0.769)	Data 0.001 (0.002)	Loss 2.9754 (2.7565)	Prec@1 33.594 (34.240)	Prec@5 54.688 (64.633)
Epoch: [20][4480/14090]	Time 0.741 (0.769)	Data 0.001 (0.002)	Loss 2.7620 (2.7565)	Prec@1 35.938 (34.242)	Prec@5 71.094 (64.634)
Epoch: [20][4490/14090]	Time 0.898 (0.769)	Data 0.001 (0.002)	Loss 2.9477 (2.7567)	Prec@1 27.344 (34.238)	Prec@5 58.594 (64.632)
Epoch: [20][4500/14090]	Time 0.746 (0.769)	Data 0.001 (0.002)	Loss 2.9033 (2.7568)	Prec@1 33.594 (34.238)	Prec@5 60.156 (64.627)
Epoch: [20][4510/14090]	Time 0.747 (0.769)	Data 0.001 (0.002)	Loss 2.7564 (2.7567)	Prec@1 30.469 (34.238)	Prec@5 66.406 (64.627)
Epoch: [20][4520/14090]	Time 0.784 (0.769)	Data 0.001 (0.002)	Loss 2.3865 (2.7566)	Prec@1 36.719 (34.236)	Prec@5 71.094 (64.631)
Epoch: [20][4530/14090]	Time 0.722 (0.769)	Data 0.001 (0.002)	Loss 2.7304 (2.7566)	Prec@1 37.500 (34.237)	Prec@5 69.531 (64.629)
Epoch: [20][4540/14090]	Time 0.761 (0.769)	Data 0.001 (0.002)	Loss 2.7434 (2.7566)	Prec@1 33.594 (34.238)	Prec@5 67.188 (64.630)
Epoch: [20][4550/14090]	Time 0.761 (0.769)	Data 0.001 (0.002)	Loss 2.8748 (2.7566)	Prec@1 35.156 (34.238)	Prec@5 62.500 (64.628)
Epoch: [20][4560/14090]	Time 0.850 (0.769)	Data 0.001 (0.002)	Loss 2.6785 (2.7566)	Prec@1 35.156 (34.242)	Prec@5 65.625 (64.628)
Epoch: [20][4570/14090]	Time 0.763 (0.769)	Data 0.001 (0.002)	Loss 2.6476 (2.7567)	Prec@1 33.594 (34.241)	Prec@5 71.094 (64.625)
Epoch: [20][4580/14090]	Time 0.742 (0.769)	Data 0.001 (0.002)	Loss 2.8595 (2.7568)	Prec@1 30.469 (34.239)	Prec@5 60.156 (64.623)
Epoch: [20][4590/14090]	Time 0.779 (0.769)	Data 0.001 (0.002)	Loss 2.8879 (2.7568)	Prec@1 32.812 (34.239)	Prec@5 58.594 (64.622)
Epoch: [20][4600/14090]	Time 0.733 (0.769)	Data 0.001 (0.002)	Loss 2.8882 (2.7569)	Prec@1 35.156 (34.237)	Prec@5 64.062 (64.623)
Epoch: [20][4610/14090]	Time 0.724 (0.769)	Data 0.001 (0.002)	Loss 2.6820 (2.7568)	Prec@1 31.250 (34.237)	Prec@5 64.062 (64.626)
Epoch: [20][4620/14090]	Time 0.744 (0.769)	Data 0.001 (0.002)	Loss 2.6517 (2.7567)	Prec@1 37.500 (34.239)	Prec@5 71.094 (64.628)
Epoch: [20][4630/14090]	Time 0.889 (0.769)	Data 0.001 (0.002)	Loss 3.1135 (2.7569)	Prec@1 29.688 (34.237)	Prec@5 57.031 (64.624)
Epoch: [20][4640/14090]	Time 0.739 (0.769)	Data 0.001 (0.002)	Loss 2.7535 (2.7570)	Prec@1 31.250 (34.240)	Prec@5 66.406 (64.619)
Epoch: [20][4650/14090]	Time 0.743 (0.769)	Data 0.001 (0.002)	Loss 2.6697 (2.7571)	Prec@1 43.750 (34.241)	Prec@5 64.062 (64.615)
Epoch: [20][4660/14090]	Time 0.769 (0.769)	Data 0.001 (0.002)	Loss 2.7235 (2.7571)	Prec@1 33.594 (34.239)	Prec@5 65.625 (64.613)
Epoch: [20][4670/14090]	Time 0.778 (0.769)	Data 0.001 (0.002)	Loss 2.5299 (2.7570)	Prec@1 40.625 (34.241)	Prec@5 70.312 (64.615)
Epoch: [20][4680/14090]	Time 0.729 (0.769)	Data 0.001 (0.002)	Loss 2.6627 (2.7573)	Prec@1 39.062 (34.241)	Prec@5 65.625 (64.610)
Epoch: [20][4690/14090]	Time 0.750 (0.769)	Data 0.001 (0.002)	Loss 2.7235 (2.7572)	Prec@1 39.062 (34.243)	Prec@5 60.938 (64.610)
Epoch: [20][4700/14090]	Time 0.883 (0.769)	Data 0.001 (0.002)	Loss 2.8338 (2.7572)	Prec@1 32.812 (34.243)	Prec@5 63.281 (64.613)
Epoch: [20][4710/14090]	Time 0.740 (0.769)	Data 0.001 (0.002)	Loss 2.8757 (2.7571)	Prec@1 32.812 (34.245)	Prec@5 65.625 (64.616)
Epoch: [20][4720/14090]	Time 0.747 (0.769)	Data 0.001 (0.002)	Loss 2.4966 (2.7571)	Prec@1 34.375 (34.245)	Prec@5 71.875 (64.616)
Epoch: [20][4730/14090]	Time 0.753 (0.769)	Data 0.001 (0.002)	Loss 2.6159 (2.7572)	Prec@1 36.719 (34.246)	Prec@5 68.750 (64.611)
Epoch: [20][4740/14090]	Time 0.742 (0.769)	Data 0.001 (0.002)	Loss 2.7945 (2.7573)	Prec@1 29.688 (34.245)	Prec@5 59.375 (64.612)
Epoch: [20][4750/14090]	Time 0.762 (0.769)	Data 0.001 (0.002)	Loss 2.9235 (2.7572)	Prec@1 32.031 (34.245)	Prec@5 63.281 (64.614)
Epoch: [20][4760/14090]	Time 0.781 (0.769)	Data 0.001 (0.002)	Loss 2.5970 (2.7572)	Prec@1 40.625 (34.248)	Prec@5 65.625 (64.614)
Epoch: [20][4770/14090]	Time 0.881 (0.769)	Data 0.001 (0.002)	Loss 2.7799 (2.7573)	Prec@1 27.344 (34.242)	Prec@5 64.062 (64.610)
Epoch: [20][4780/14090]	Time 0.753 (0.769)	Data 0.001 (0.002)	Loss 2.8213 (2.7574)	Prec@1 35.938 (34.242)	Prec@5 64.844 (64.608)
Epoch: [20][4790/14090]	Time 0.750 (0.769)	Data 0.001 (0.002)	Loss 2.4383 (2.7571)	Prec@1 38.281 (34.249)	Prec@5 72.656 (64.615)
Epoch: [20][4800/14090]	Time 0.730 (0.769)	Data 0.001 (0.002)	Loss 2.4821 (2.7570)	Prec@1 30.469 (34.248)	Prec@5 64.844 (64.617)
Epoch: [20][4810/14090]	Time 0.763 (0.769)	Data 0.001 (0.002)	Loss 2.6704 (2.7569)	Prec@1 37.500 (34.247)	Prec@5 63.281 (64.617)
Epoch: [20][4820/14090]	Time 0.759 (0.769)	Data 0.001 (0.002)	Loss 3.0018 (2.7571)	Prec@1 30.469 (34.246)	Prec@5 60.156 (64.612)
Epoch: [20][4830/14090]	Time 0.731 (0.769)	Data 0.001 (0.002)	Loss 2.9273 (2.7572)	Prec@1 32.031 (34.246)	Prec@5 60.938 (64.609)
Epoch: [20][4840/14090]	Time 0.840 (0.769)	Data 0.001 (0.002)	Loss 2.9330 (2.7571)	Prec@1 31.250 (34.245)	Prec@5 57.812 (64.610)
Epoch: [20][4850/14090]	Time 0.778 (0.769)	Data 0.001 (0.002)	Loss 2.9636 (2.7571)	Prec@1 32.031 (34.247)	Prec@5 59.375 (64.610)
Epoch: [20][4860/14090]	Time 0.762 (0.769)	Data 0.001 (0.002)	Loss 2.4497 (2.7569)	Prec@1 42.188 (34.250)	Prec@5 68.750 (64.612)
Epoch: [20][4870/14090]	Time 0.785 (0.769)	Data 0.001 (0.002)	Loss 2.6331 (2.7569)	Prec@1 35.156 (34.250)	Prec@5 65.625 (64.612)
Epoch: [20][4880/14090]	Time 0.731 (0.769)	Data 0.001 (0.002)	Loss 2.9019 (2.7570)	Prec@1 35.938 (34.253)	Prec@5 63.281 (64.613)
Epoch: [20][4890/14090]	Time 0.739 (0.769)	Data 0.001 (0.002)	Loss 2.9273 (2.7569)	Prec@1 31.250 (34.254)	Prec@5 64.062 (64.614)
Epoch: [20][4900/14090]	Time 0.753 (0.769)	Data 0.001 (0.002)	Loss 2.4049 (2.7570)	Prec@1 40.625 (34.250)	Prec@5 71.875 (64.610)
Epoch: [20][4910/14090]	Time 0.863 (0.769)	Data 0.001 (0.002)	Loss 2.8805 (2.7571)	Prec@1 35.938 (34.249)	Prec@5 63.281 (64.608)
Epoch: [20][4920/14090]	Time 0.729 (0.769)	Data 0.001 (0.002)	Loss 2.9791 (2.7571)	Prec@1 36.719 (34.249)	Prec@5 59.375 (64.605)
Epoch: [20][4930/14090]	Time 0.750 (0.769)	Data 0.001 (0.002)	Loss 2.8286 (2.7571)	Prec@1 32.031 (34.247)	Prec@5 64.844 (64.604)
Epoch: [20][4940/14090]	Time 0.783 (0.769)	Data 0.002 (0.002)	Loss 2.8500 (2.7569)	Prec@1 28.125 (34.252)	Prec@5 62.500 (64.609)
Epoch: [20][4950/14090]	Time 0.726 (0.769)	Data 0.001 (0.002)	Loss 2.7126 (2.7568)	Prec@1 35.938 (34.254)	Prec@5 65.625 (64.613)
Epoch: [20][4960/14090]	Time 0.762 (0.769)	Data 0.001 (0.002)	Loss 2.5689 (2.7568)	Prec@1 35.938 (34.255)	Prec@5 68.750 (64.614)
Epoch: [20][4970/14090]	Time 0.760 (0.769)	Data 0.001 (0.002)	Loss 2.6748 (2.7565)	Prec@1 40.625 (34.261)	Prec@5 63.281 (64.616)
Epoch: [20][4980/14090]	Time 0.864 (0.769)	Data 0.001 (0.002)	Loss 2.7258 (2.7566)	Prec@1 33.594 (34.260)	Prec@5 62.500 (64.615)
Epoch: [20][4990/14090]	Time 0.781 (0.769)	Data 0.001 (0.002)	Loss 2.6694 (2.7566)	Prec@1 35.156 (34.256)	Prec@5 67.188 (64.613)
Epoch: [20][5000/14090]	Time 0.740 (0.769)	Data 0.001 (0.002)	Loss 2.5782 (2.7567)	Prec@1 34.375 (34.254)	Prec@5 64.844 (64.611)
Epoch: [20][5010/14090]	Time 0.768 (0.769)	Data 0.001 (0.002)	Loss 2.7636 (2.7567)	Prec@1 33.594 (34.254)	Prec@5 62.500 (64.611)
Epoch: [20][5020/14090]	Time 0.745 (0.769)	Data 0.001 (0.002)	Loss 2.9584 (2.7568)	Prec@1 33.594 (34.250)	Prec@5 64.844 (64.611)
Epoch: [20][5030/14090]	Time 0.735 (0.769)	Data 0.001 (0.002)	Loss 2.9221 (2.7569)	Prec@1 32.031 (34.251)	Prec@5 62.500 (64.610)
Epoch: [20][5040/14090]	Time 0.741 (0.769)	Data 0.001 (0.002)	Loss 2.8180 (2.7568)	Prec@1 30.469 (34.253)	Prec@5 64.062 (64.613)
Epoch: [20][5050/14090]	Time 0.911 (0.769)	Data 0.001 (0.002)	Loss 2.4149 (2.7566)	Prec@1 39.844 (34.260)	Prec@5 70.312 (64.618)
Epoch: [20][5060/14090]	Time 0.736 (0.769)	Data 0.001 (0.002)	Loss 2.7980 (2.7568)	Prec@1 29.688 (34.260)	Prec@5 58.594 (64.615)
Epoch: [20][5070/14090]	Time 0.774 (0.769)	Data 0.001 (0.002)	Loss 3.0431 (2.7569)	Prec@1 30.469 (34.259)	Prec@5 54.688 (64.615)
Epoch: [20][5080/14090]	Time 0.744 (0.769)	Data 0.001 (0.002)	Loss 2.7411 (2.7568)	Prec@1 35.156 (34.263)	Prec@5 63.281 (64.619)
Epoch: [20][5090/14090]	Time 0.750 (0.769)	Data 0.001 (0.002)	Loss 2.7455 (2.7568)	Prec@1 31.250 (34.263)	Prec@5 61.719 (64.616)
Epoch: [20][5100/14090]	Time 0.753 (0.769)	Data 0.001 (0.002)	Loss 2.8710 (2.7570)	Prec@1 34.375 (34.259)	Prec@5 60.156 (64.611)
Epoch: [20][5110/14090]	Time 0.778 (0.769)	Data 0.001 (0.002)	Loss 2.8316 (2.7571)	Prec@1 32.812 (34.258)	Prec@5 60.156 (64.610)
Epoch: [20][5120/14090]	Time 0.872 (0.769)	Data 0.001 (0.002)	Loss 2.8130 (2.7572)	Prec@1 33.594 (34.259)	Prec@5 63.281 (64.608)
Epoch: [20][5130/14090]	Time 0.767 (0.769)	Data 0.001 (0.002)	Loss 2.9311 (2.7572)	Prec@1 30.469 (34.261)	Prec@5 60.156 (64.609)
Epoch: [20][5140/14090]	Time 0.735 (0.769)	Data 0.001 (0.002)	Loss 3.1187 (2.7574)	Prec@1 29.688 (34.255)	Prec@5 55.469 (64.604)
Epoch: [20][5150/14090]	Time 0.746 (0.769)	Data 0.001 (0.002)	Loss 3.0189 (2.7575)	Prec@1 29.688 (34.254)	Prec@5 60.938 (64.602)
Epoch: [20][5160/14090]	Time 0.732 (0.769)	Data 0.001 (0.002)	Loss 2.6772 (2.7575)	Prec@1 36.719 (34.254)	Prec@5 67.969 (64.604)
Epoch: [20][5170/14090]	Time 0.737 (0.769)	Data 0.001 (0.002)	Loss 2.7881 (2.7575)	Prec@1 33.594 (34.256)	Prec@5 64.844 (64.604)
Epoch: [20][5180/14090]	Time 0.760 (0.769)	Data 0.001 (0.002)	Loss 2.8773 (2.7574)	Prec@1 34.375 (34.259)	Prec@5 64.062 (64.608)
Epoch: [20][5190/14090]	Time 0.826 (0.769)	Data 0.001 (0.002)	Loss 2.7780 (2.7574)	Prec@1 32.031 (34.256)	Prec@5 64.844 (64.603)
Epoch: [20][5200/14090]	Time 0.732 (0.769)	Data 0.001 (0.002)	Loss 2.6279 (2.7575)	Prec@1 38.281 (34.257)	Prec@5 71.094 (64.607)
Epoch: [20][5210/14090]	Time 0.726 (0.769)	Data 0.001 (0.002)	Loss 2.7825 (2.7573)	Prec@1 30.469 (34.259)	Prec@5 61.719 (64.611)
Epoch: [20][5220/14090]	Time 0.778 (0.769)	Data 0.001 (0.002)	Loss 3.1718 (2.7573)	Prec@1 27.344 (34.259)	Prec@5 53.906 (64.612)
Epoch: [20][5230/14090]	Time 0.746 (0.769)	Data 0.001 (0.002)	Loss 2.5059 (2.7571)	Prec@1 38.281 (34.260)	Prec@5 67.969 (64.614)
Epoch: [20][5240/14090]	Time 0.724 (0.769)	Data 0.001 (0.002)	Loss 2.4435 (2.7571)	Prec@1 44.531 (34.266)	Prec@5 71.875 (64.614)
Epoch: [20][5250/14090]	Time 0.748 (0.769)	Data 0.001 (0.002)	Loss 2.7427 (2.7572)	Prec@1 35.156 (34.261)	Prec@5 67.188 (64.613)
Epoch: [20][5260/14090]	Time 0.898 (0.769)	Data 0.001 (0.002)	Loss 2.5230 (2.7573)	Prec@1 39.062 (34.260)	Prec@5 71.094 (64.613)
Epoch: [20][5270/14090]	Time 0.730 (0.769)	Data 0.001 (0.002)	Loss 2.6519 (2.7573)	Prec@1 33.594 (34.262)	Prec@5 70.312 (64.614)
Epoch: [20][5280/14090]	Time 0.736 (0.769)	Data 0.001 (0.002)	Loss 2.4450 (2.7572)	Prec@1 39.062 (34.264)	Prec@5 75.781 (64.618)
Epoch: [20][5290/14090]	Time 0.775 (0.769)	Data 0.001 (0.002)	Loss 2.8837 (2.7573)	Prec@1 34.375 (34.263)	Prec@5 58.594 (64.615)
Epoch: [20][5300/14090]	Time 0.750 (0.769)	Data 0.001 (0.002)	Loss 3.0073 (2.7572)	Prec@1 28.125 (34.267)	Prec@5 57.812 (64.617)
Epoch: [20][5310/14090]	Time 0.743 (0.769)	Data 0.001 (0.002)	Loss 2.7393 (2.7574)	Prec@1 35.938 (34.265)	Prec@5 63.281 (64.611)
Epoch: [20][5320/14090]	Time 0.728 (0.769)	Data 0.001 (0.002)	Loss 2.8036 (2.7573)	Prec@1 31.250 (34.268)	Prec@5 59.375 (64.611)
Epoch: [20][5330/14090]	Time 0.885 (0.769)	Data 0.001 (0.002)	Loss 2.8065 (2.7573)	Prec@1 31.250 (34.266)	Prec@5 67.188 (64.616)
Epoch: [20][5340/14090]	Time 0.751 (0.769)	Data 0.001 (0.002)	Loss 2.8844 (2.7574)	Prec@1 28.125 (34.263)	Prec@5 61.719 (64.614)
Epoch: [20][5350/14090]	Time 0.733 (0.769)	Data 0.001 (0.002)	Loss 2.6886 (2.7574)	Prec@1 35.938 (34.264)	Prec@5 64.062 (64.615)
Epoch: [20][5360/14090]	Time 0.749 (0.769)	Data 0.001 (0.002)	Loss 2.8848 (2.7573)	Prec@1 31.250 (34.263)	Prec@5 60.938 (64.616)
Epoch: [20][5370/14090]	Time 0.748 (0.769)	Data 0.001 (0.002)	Loss 2.9293 (2.7574)	Prec@1 29.688 (34.258)	Prec@5 59.375 (64.616)
Epoch: [20][5380/14090]	Time 0.762 (0.769)	Data 0.001 (0.002)	Loss 2.4215 (2.7573)	Prec@1 37.500 (34.257)	Prec@5 68.750 (64.621)
Epoch: [20][5390/14090]	Time 0.730 (0.769)	Data 0.001 (0.002)	Loss 3.1149 (2.7572)	Prec@1 30.469 (34.258)	Prec@5 55.469 (64.623)
Epoch: [20][5400/14090]	Time 0.883 (0.769)	Data 0.001 (0.002)	Loss 2.9725 (2.7571)	Prec@1 32.031 (34.262)	Prec@5 57.812 (64.625)
Epoch: [20][5410/14090]	Time 0.746 (0.769)	Data 0.001 (0.002)	Loss 3.1486 (2.7572)	Prec@1 24.219 (34.260)	Prec@5 50.781 (64.622)
Epoch: [20][5420/14090]	Time 0.727 (0.769)	Data 0.001 (0.002)	Loss 2.7745 (2.7571)	Prec@1 36.719 (34.264)	Prec@5 64.844 (64.623)
Epoch: [20][5430/14090]	Time 0.759 (0.769)	Data 0.001 (0.002)	Loss 2.7665 (2.7571)	Prec@1 28.125 (34.262)	Prec@5 64.844 (64.624)
Epoch: [20][5440/14090]	Time 0.752 (0.769)	Data 0.001 (0.002)	Loss 2.8021 (2.7569)	Prec@1 30.469 (34.262)	Prec@5 62.500 (64.623)
Epoch: [20][5450/14090]	Time 0.748 (0.769)	Data 0.001 (0.002)	Loss 2.5764 (2.7569)	Prec@1 35.938 (34.261)	Prec@5 71.094 (64.625)
Epoch: [20][5460/14090]	Time 0.739 (0.769)	Data 0.001 (0.002)	Loss 2.6561 (2.7568)	Prec@1 41.406 (34.263)	Prec@5 66.406 (64.628)
Epoch: [20][5470/14090]	Time 0.854 (0.769)	Data 0.001 (0.002)	Loss 3.0070 (2.7567)	Prec@1 28.906 (34.266)	Prec@5 61.719 (64.629)
Epoch: [20][5480/14090]	Time 0.747 (0.769)	Data 0.001 (0.002)	Loss 3.0934 (2.7567)	Prec@1 28.125 (34.266)	Prec@5 58.594 (64.626)
Epoch: [20][5490/14090]	Time 0.741 (0.769)	Data 0.001 (0.002)	Loss 2.8584 (2.7568)	Prec@1 35.938 (34.266)	Prec@5 61.719 (64.623)
Epoch: [20][5500/14090]	Time 0.750 (0.769)	Data 0.001 (0.002)	Loss 2.8087 (2.7569)	Prec@1 33.594 (34.265)	Prec@5 62.500 (64.620)
Epoch: [20][5510/14090]	Time 0.729 (0.769)	Data 0.001 (0.002)	Loss 2.9084 (2.7571)	Prec@1 30.469 (34.263)	Prec@5 64.844 (64.617)
Epoch: [20][5520/14090]	Time 0.752 (0.769)	Data 0.001 (0.002)	Loss 2.6189 (2.7569)	Prec@1 33.594 (34.265)	Prec@5 67.188 (64.620)
Epoch: [20][5530/14090]	Time 0.737 (0.769)	Data 0.002 (0.002)	Loss 2.8247 (2.7569)	Prec@1 30.469 (34.265)	Prec@5 60.156 (64.620)
Epoch: [20][5540/14090]	Time 0.912 (0.769)	Data 0.001 (0.002)	Loss 2.8472 (2.7569)	Prec@1 30.469 (34.263)	Prec@5 66.406 (64.621)
Epoch: [20][5550/14090]	Time 0.732 (0.769)	Data 0.001 (0.002)	Loss 2.6029 (2.7568)	Prec@1 31.250 (34.262)	Prec@5 69.531 (64.621)
Epoch: [20][5560/14090]	Time 0.728 (0.769)	Data 0.001 (0.002)	Loss 2.6756 (2.7567)	Prec@1 34.375 (34.262)	Prec@5 60.156 (64.621)
Epoch: [20][5570/14090]	Time 0.738 (0.769)	Data 0.001 (0.002)	Loss 2.9093 (2.7567)	Prec@1 31.250 (34.262)	Prec@5 60.938 (64.621)
Epoch: [20][5580/14090]	Time 0.788 (0.769)	Data 0.001 (0.002)	Loss 2.4126 (2.7568)	Prec@1 36.719 (34.257)	Prec@5 70.312 (64.620)
Epoch: [20][5590/14090]	Time 0.727 (0.769)	Data 0.001 (0.002)	Loss 2.6972 (2.7568)	Prec@1 38.281 (34.257)	Prec@5 70.312 (64.621)
Epoch: [20][5600/14090]	Time 0.753 (0.769)	Data 0.001 (0.002)	Loss 2.8361 (2.7570)	Prec@1 33.594 (34.254)	Prec@5 61.719 (64.618)
Epoch: [20][5610/14090]	Time 0.901 (0.769)	Data 0.001 (0.002)	Loss 2.7758 (2.7569)	Prec@1 30.469 (34.253)	Prec@5 60.938 (64.620)
Epoch: [20][5620/14090]	Time 0.731 (0.769)	Data 0.001 (0.002)	Loss 2.6802 (2.7570)	Prec@1 38.281 (34.253)	Prec@5 68.750 (64.619)
Epoch: [20][5630/14090]	Time 0.736 (0.769)	Data 0.001 (0.002)	Loss 2.8264 (2.7568)	Prec@1 35.156 (34.256)	Prec@5 64.062 (64.623)
Epoch: [20][5640/14090]	Time 0.737 (0.769)	Data 0.001 (0.002)	Loss 2.5444 (2.7568)	Prec@1 32.812 (34.254)	Prec@5 71.875 (64.622)
Epoch: [20][5650/14090]	Time 0.754 (0.769)	Data 0.001 (0.002)	Loss 2.5891 (2.7568)	Prec@1 32.031 (34.252)	Prec@5 67.188 (64.622)
Epoch: [20][5660/14090]	Time 0.737 (0.769)	Data 0.001 (0.002)	Loss 2.9840 (2.7567)	Prec@1 38.281 (34.256)	Prec@5 60.938 (64.625)
Epoch: [20][5670/14090]	Time 0.731 (0.769)	Data 0.001 (0.002)	Loss 2.6136 (2.7566)	Prec@1 39.844 (34.260)	Prec@5 67.969 (64.625)
Epoch: [20][5680/14090]	Time 0.867 (0.769)	Data 0.001 (0.002)	Loss 2.9697 (2.7565)	Prec@1 25.781 (34.260)	Prec@5 58.594 (64.627)
Epoch: [20][5690/14090]	Time 0.743 (0.769)	Data 0.001 (0.002)	Loss 2.4252 (2.7564)	Prec@1 40.625 (34.261)	Prec@5 70.312 (64.630)
Epoch: [20][5700/14090]	Time 0.727 (0.769)	Data 0.001 (0.002)	Loss 2.9511 (2.7564)	Prec@1 26.562 (34.262)	Prec@5 62.500 (64.631)
Epoch: [20][5710/14090]	Time 0.750 (0.769)	Data 0.001 (0.002)	Loss 2.6962 (2.7563)	Prec@1 32.031 (34.264)	Prec@5 64.844 (64.632)
Epoch: [20][5720/14090]	Time 0.779 (0.769)	Data 0.001 (0.002)	Loss 2.7763 (2.7564)	Prec@1 35.938 (34.264)	Prec@5 64.062 (64.629)
Epoch: [20][5730/14090]	Time 0.731 (0.769)	Data 0.001 (0.002)	Loss 2.7766 (2.7563)	Prec@1 35.938 (34.266)	Prec@5 64.062 (64.628)
Epoch: [20][5740/14090]	Time 0.755 (0.769)	Data 0.001 (0.002)	Loss 2.4952 (2.7561)	Prec@1 41.406 (34.269)	Prec@5 68.750 (64.631)
Epoch: [20][5750/14090]	Time 0.861 (0.769)	Data 0.001 (0.002)	Loss 2.7816 (2.7563)	Prec@1 37.500 (34.267)	Prec@5 65.625 (64.625)
Epoch: [20][5760/14090]	Time 0.752 (0.769)	Data 0.001 (0.002)	Loss 2.8279 (2.7565)	Prec@1 33.594 (34.263)	Prec@5 61.719 (64.622)
Epoch: [20][5770/14090]	Time 0.733 (0.769)	Data 0.001 (0.002)	Loss 2.8679 (2.7565)	Prec@1 31.250 (34.262)	Prec@5 67.188 (64.622)
Epoch: [20][5780/14090]	Time 0.736 (0.769)	Data 0.001 (0.002)	Loss 2.8538 (2.7567)	Prec@1 39.844 (34.263)	Prec@5 66.406 (64.622)
Epoch: [20][5790/14090]	Time 0.753 (0.769)	Data 0.001 (0.002)	Loss 2.4927 (2.7569)	Prec@1 38.281 (34.259)	Prec@5 74.219 (64.617)
Epoch: [20][5800/14090]	Time 0.736 (0.769)	Data 0.001 (0.002)	Loss 2.8656 (2.7568)	Prec@1 34.375 (34.263)	Prec@5 62.500 (64.621)
Epoch: [20][5810/14090]	Time 0.772 (0.769)	Data 0.001 (0.002)	Loss 2.4619 (2.7568)	Prec@1 39.062 (34.264)	Prec@5 67.188 (64.619)
Epoch: [20][5820/14090]	Time 0.851 (0.769)	Data 0.001 (0.002)	Loss 2.7538 (2.7568)	Prec@1 34.375 (34.261)	Prec@5 63.281 (64.617)
Epoch: [20][5830/14090]	Time 0.751 (0.769)	Data 0.001 (0.002)	Loss 2.6034 (2.7567)	Prec@1 32.031 (34.263)	Prec@5 67.188 (64.620)
Epoch: [20][5840/14090]	Time 0.768 (0.769)	Data 0.001 (0.002)	Loss 2.8160 (2.7566)	Prec@1 30.469 (34.265)	Prec@5 60.156 (64.622)
Epoch: [20][5850/14090]	Time 0.741 (0.769)	Data 0.001 (0.002)	Loss 3.3098 (2.7568)	Prec@1 28.125 (34.263)	Prec@5 53.906 (64.619)
Epoch: [20][5860/14090]	Time 0.753 (0.769)	Data 0.001 (0.002)	Loss 2.6634 (2.7569)	Prec@1 33.594 (34.260)	Prec@5 60.156 (64.615)
Epoch: [20][5870/14090]	Time 0.754 (0.769)	Data 0.001 (0.002)	Loss 2.7252 (2.7570)	Prec@1 31.250 (34.260)	Prec@5 67.969 (64.615)
Epoch: [20][5880/14090]	Time 0.735 (0.769)	Data 0.001 (0.002)	Loss 2.9050 (2.7570)	Prec@1 32.031 (34.260)	Prec@5 64.062 (64.616)
Epoch: [20][5890/14090]	Time 0.900 (0.769)	Data 0.001 (0.002)	Loss 2.9352 (2.7572)	Prec@1 30.469 (34.256)	Prec@5 60.156 (64.614)
Epoch: [20][5900/14090]	Time 0.751 (0.769)	Data 0.001 (0.002)	Loss 2.8623 (2.7570)	Prec@1 29.688 (34.260)	Prec@5 62.500 (64.618)
Epoch: [20][5910/14090]	Time 0.737 (0.769)	Data 0.001 (0.002)	Loss 2.7715 (2.7569)	Prec@1 35.156 (34.263)	Prec@5 64.844 (64.622)
Epoch: [20][5920/14090]	Time 0.756 (0.769)	Data 0.001 (0.002)	Loss 2.8815 (2.7569)	Prec@1 30.469 (34.261)	Prec@5 59.375 (64.620)
Epoch: [20][5930/14090]	Time 0.793 (0.769)	Data 0.001 (0.002)	Loss 2.8031 (2.7568)	Prec@1 38.281 (34.263)	Prec@5 62.500 (64.622)
Epoch: [20][5940/14090]	Time 0.773 (0.769)	Data 0.001 (0.002)	Loss 2.6287 (2.7569)	Prec@1 39.062 (34.261)	Prec@5 71.094 (64.621)
Epoch: [20][5950/14090]	Time 0.729 (0.769)	Data 0.001 (0.002)	Loss 2.8583 (2.7568)	Prec@1 33.594 (34.264)	Prec@5 66.406 (64.622)
Epoch: [20][5960/14090]	Time 0.829 (0.769)	Data 0.001 (0.002)	Loss 2.6285 (2.7568)	Prec@1 32.812 (34.266)	Prec@5 67.969 (64.623)
Epoch: [20][5970/14090]	Time 0.752 (0.769)	Data 0.001 (0.002)	Loss 2.7743 (2.7567)	Prec@1 35.156 (34.265)	Prec@5 65.625 (64.626)
Epoch: [20][5980/14090]	Time 0.771 (0.769)	Data 0.001 (0.002)	Loss 2.7258 (2.7567)	Prec@1 32.031 (34.266)	Prec@5 69.531 (64.627)
Epoch: [20][5990/14090]	Time 0.788 (0.769)	Data 0.001 (0.002)	Loss 2.5731 (2.7566)	Prec@1 42.188 (34.267)	Prec@5 66.406 (64.628)
Epoch: [20][6000/14090]	Time 0.723 (0.769)	Data 0.001 (0.002)	Loss 2.6677 (2.7566)	Prec@1 34.375 (34.266)	Prec@5 63.281 (64.626)
Epoch: [20][6010/14090]	Time 0.773 (0.769)	Data 0.001 (0.002)	Loss 2.8411 (2.7565)	Prec@1 32.812 (34.271)	Prec@5 64.844 (64.630)
Epoch: [20][6020/14090]	Time 0.761 (0.769)	Data 0.001 (0.002)	Loss 2.8937 (2.7565)	Prec@1 31.250 (34.268)	Prec@5 62.500 (64.631)
Epoch: [20][6030/14090]	Time 0.852 (0.769)	Data 0.001 (0.002)	Loss 2.5578 (2.7564)	Prec@1 32.812 (34.268)	Prec@5 71.094 (64.636)
Epoch: [20][6040/14090]	Time 0.754 (0.769)	Data 0.001 (0.002)	Loss 2.1384 (2.7564)	Prec@1 49.219 (34.269)	Prec@5 81.250 (64.638)
Epoch: [20][6050/14090]	Time 0.735 (0.769)	Data 0.001 (0.002)	Loss 2.5954 (2.7565)	Prec@1 36.719 (34.268)	Prec@5 68.750 (64.635)
Epoch: [20][6060/14090]	Time 0.745 (0.769)	Data 0.001 (0.002)	Loss 2.9581 (2.7566)	Prec@1 30.469 (34.267)	Prec@5 58.594 (64.631)
Epoch: [20][6070/14090]	Time 0.756 (0.769)	Data 0.001 (0.002)	Loss 2.8694 (2.7566)	Prec@1 31.250 (34.267)	Prec@5 65.625 (64.633)
Epoch: [20][6080/14090]	Time 0.759 (0.769)	Data 0.001 (0.002)	Loss 2.5913 (2.7565)	Prec@1 31.250 (34.268)	Prec@5 67.188 (64.635)
Epoch: [20][6090/14090]	Time 0.732 (0.769)	Data 0.001 (0.002)	Loss 2.9903 (2.7566)	Prec@1 30.469 (34.269)	Prec@5 56.250 (64.633)
Epoch: [20][6100/14090]	Time 0.883 (0.769)	Data 0.001 (0.002)	Loss 2.6755 (2.7566)	Prec@1 38.281 (34.272)	Prec@5 71.875 (64.635)
Epoch: [20][6110/14090]	Time 0.754 (0.769)	Data 0.001 (0.002)	Loss 2.8219 (2.7566)	Prec@1 38.281 (34.272)	Prec@5 64.844 (64.637)
Epoch: [20][6120/14090]	Time 0.735 (0.769)	Data 0.001 (0.002)	Loss 2.6132 (2.7565)	Prec@1 35.156 (34.274)	Prec@5 67.969 (64.640)
Epoch: [20][6130/14090]	Time 0.795 (0.769)	Data 0.001 (0.002)	Loss 2.7184 (2.7565)	Prec@1 35.156 (34.275)	Prec@5 66.406 (64.640)
Epoch: [20][6140/14090]	Time 0.735 (0.769)	Data 0.001 (0.002)	Loss 2.8942 (2.7565)	Prec@1 33.594 (34.276)	Prec@5 64.844 (64.640)
Epoch: [20][6150/14090]	Time 0.761 (0.769)	Data 0.001 (0.002)	Loss 2.6255 (2.7564)	Prec@1 32.812 (34.278)	Prec@5 66.406 (64.643)
Epoch: [20][6160/14090]	Time 0.772 (0.769)	Data 0.001 (0.002)	Loss 2.7600 (2.7564)	Prec@1 32.031 (34.278)	Prec@5 64.844 (64.644)
Epoch: [20][6170/14090]	Time 0.855 (0.769)	Data 0.001 (0.002)	Loss 2.9125 (2.7564)	Prec@1 29.688 (34.276)	Prec@5 62.500 (64.644)
Epoch: [20][6180/14090]	Time 0.734 (0.769)	Data 0.001 (0.002)	Loss 2.7989 (2.7564)	Prec@1 32.031 (34.276)	Prec@5 63.281 (64.645)
Epoch: [20][6190/14090]	Time 0.761 (0.769)	Data 0.001 (0.002)	Loss 2.9678 (2.7564)	Prec@1 29.688 (34.273)	Prec@5 59.375 (64.642)
Epoch: [20][6200/14090]	Time 0.739 (0.769)	Data 0.001 (0.002)	Loss 2.9024 (2.7565)	Prec@1 31.250 (34.274)	Prec@5 63.281 (64.641)
Epoch: [20][6210/14090]	Time 0.785 (0.769)	Data 0.001 (0.002)	Loss 2.8845 (2.7565)	Prec@1 35.156 (34.276)	Prec@5 61.719 (64.640)
Epoch: [20][6220/14090]	Time 0.781 (0.769)	Data 0.001 (0.002)	Loss 2.8857 (2.7566)	Prec@1 28.125 (34.276)	Prec@5 58.594 (64.638)
Epoch: [20][6230/14090]	Time 0.735 (0.769)	Data 0.001 (0.002)	Loss 2.7311 (2.7566)	Prec@1 37.500 (34.277)	Prec@5 64.844 (64.638)
Epoch: [20][6240/14090]	Time 0.839 (0.769)	Data 0.001 (0.002)	Loss 2.7293 (2.7566)	Prec@1 32.812 (34.278)	Prec@5 65.625 (64.638)
Epoch: [20][6250/14090]	Time 0.753 (0.769)	Data 0.001 (0.002)	Loss 2.6670 (2.7566)	Prec@1 35.938 (34.276)	Prec@5 68.750 (64.637)
Epoch: [20][6260/14090]	Time 0.758 (0.769)	Data 0.001 (0.002)	Loss 2.7792 (2.7568)	Prec@1 35.156 (34.273)	Prec@5 67.188 (64.633)
Epoch: [20][6270/14090]	Time 0.770 (0.769)	Data 0.001 (0.002)	Loss 2.7924 (2.7568)	Prec@1 35.156 (34.274)	Prec@5 64.844 (64.633)
Epoch: [20][6280/14090]	Time 0.741 (0.769)	Data 0.001 (0.002)	Loss 2.7681 (2.7567)	Prec@1 35.156 (34.276)	Prec@5 64.062 (64.637)
Epoch: [20][6290/14090]	Time 0.749 (0.769)	Data 0.001 (0.002)	Loss 2.9629 (2.7567)	Prec@1 33.594 (34.277)	Prec@5 58.594 (64.637)
Epoch: [20][6300/14090]	Time 0.780 (0.769)	Data 0.001 (0.002)	Loss 2.4298 (2.7567)	Prec@1 37.500 (34.277)	Prec@5 71.875 (64.639)
Epoch: [20][6310/14090]	Time 0.955 (0.769)	Data 0.001 (0.002)	Loss 2.5388 (2.7566)	Prec@1 40.625 (34.279)	Prec@5 67.969 (64.640)
Epoch: [20][6320/14090]	Time 0.735 (0.769)	Data 0.001 (0.002)	Loss 2.3739 (2.7564)	Prec@1 39.844 (34.281)	Prec@5 71.875 (64.643)
Epoch: [20][6330/14090]	Time 0.782 (0.769)	Data 0.001 (0.002)	Loss 2.6385 (2.7564)	Prec@1 34.375 (34.279)	Prec@5 65.625 (64.643)
Epoch: [20][6340/14090]	Time 0.747 (0.769)	Data 0.001 (0.002)	Loss 2.9117 (2.7565)	Prec@1 32.812 (34.278)	Prec@5 59.375 (64.640)
Epoch: [20][6350/14090]	Time 0.780 (0.769)	Data 0.001 (0.002)	Loss 2.6135 (2.7566)	Prec@1 34.375 (34.277)	Prec@5 64.844 (64.639)
Epoch: [20][6360/14090]	Time 0.757 (0.769)	Data 0.001 (0.002)	Loss 2.8261 (2.7566)	Prec@1 35.156 (34.277)	Prec@5 59.375 (64.638)
Epoch: [20][6370/14090]	Time 0.745 (0.769)	Data 0.001 (0.002)	Loss 3.0171 (2.7568)	Prec@1 28.125 (34.276)	Prec@5 60.156 (64.636)
Epoch: [20][6380/14090]	Time 0.876 (0.769)	Data 0.001 (0.002)	Loss 2.5504 (2.7568)	Prec@1 39.844 (34.274)	Prec@5 67.969 (64.635)
Epoch: [20][6390/14090]	Time 0.772 (0.769)	Data 0.001 (0.002)	Loss 2.7576 (2.7568)	Prec@1 31.250 (34.276)	Prec@5 61.719 (64.634)
Epoch: [20][6400/14090]	Time 0.725 (0.769)	Data 0.001 (0.002)	Loss 2.9347 (2.7568)	Prec@1 30.469 (34.277)	Prec@5 60.156 (64.634)
Epoch: [20][6410/14090]	Time 0.757 (0.769)	Data 0.001 (0.002)	Loss 2.7163 (2.7569)	Prec@1 32.812 (34.276)	Prec@5 65.625 (64.636)
Epoch: [20][6420/14090]	Time 0.745 (0.769)	Data 0.001 (0.002)	Loss 2.8220 (2.7570)	Prec@1 29.688 (34.273)	Prec@5 65.625 (64.633)
Epoch: [20][6430/14090]	Time 0.731 (0.769)	Data 0.001 (0.002)	Loss 2.6089 (2.7570)	Prec@1 35.938 (34.273)	Prec@5 63.281 (64.633)
Epoch: [20][6440/14090]	Time 0.728 (0.769)	Data 0.001 (0.001)	Loss 2.6414 (2.7571)	Prec@1 38.281 (34.271)	Prec@5 65.625 (64.632)
Epoch: [20][6450/14090]	Time 0.909 (0.769)	Data 0.001 (0.001)	Loss 2.8762 (2.7572)	Prec@1 23.438 (34.268)	Prec@5 61.719 (64.632)
Epoch: [20][6460/14090]	Time 0.734 (0.769)	Data 0.001 (0.001)	Loss 2.8412 (2.7571)	Prec@1 33.594 (34.268)	Prec@5 68.750 (64.635)
Epoch: [20][6470/14090]	Time 0.744 (0.769)	Data 0.001 (0.001)	Loss 2.6275 (2.7571)	Prec@1 39.062 (34.269)	Prec@5 71.094 (64.637)
Epoch: [20][6480/14090]	Time 0.735 (0.769)	Data 0.001 (0.001)	Loss 2.7955 (2.7572)	Prec@1 31.250 (34.266)	Prec@5 63.281 (64.637)
Epoch: [20][6490/14090]	Time 0.756 (0.769)	Data 0.001 (0.001)	Loss 2.9150 (2.7571)	Prec@1 30.469 (34.265)	Prec@5 59.375 (64.637)
Epoch: [20][6500/14090]	Time 0.746 (0.769)	Data 0.001 (0.001)	Loss 2.5582 (2.7571)	Prec@1 42.188 (34.271)	Prec@5 70.312 (64.639)
Epoch: [20][6510/14090]	Time 0.751 (0.769)	Data 0.001 (0.001)	Loss 2.6756 (2.7571)	Prec@1 29.688 (34.270)	Prec@5 68.750 (64.637)
Epoch: [20][6520/14090]	Time 0.859 (0.769)	Data 0.001 (0.001)	Loss 2.5769 (2.7570)	Prec@1 41.406 (34.271)	Prec@5 67.188 (64.639)
Epoch: [20][6530/14090]	Time 0.745 (0.769)	Data 0.001 (0.001)	Loss 2.8141 (2.7569)	Prec@1 31.250 (34.269)	Prec@5 64.844 (64.641)
Epoch: [20][6540/14090]	Time 0.732 (0.769)	Data 0.001 (0.001)	Loss 3.0620 (2.7570)	Prec@1 32.031 (34.268)	Prec@5 58.594 (64.640)
Epoch: [20][6550/14090]	Time 0.755 (0.769)	Data 0.001 (0.001)	Loss 2.7216 (2.7570)	Prec@1 28.906 (34.268)	Prec@5 69.531 (64.642)
Epoch: [20][6560/14090]	Time 0.751 (0.769)	Data 0.001 (0.001)	Loss 2.5554 (2.7570)	Prec@1 36.719 (34.266)	Prec@5 64.844 (64.640)
Epoch: [20][6570/14090]	Time 0.755 (0.769)	Data 0.001 (0.001)	Loss 2.9874 (2.7570)	Prec@1 28.906 (34.268)	Prec@5 63.281 (64.642)
Epoch: [20][6580/14090]	Time 0.728 (0.769)	Data 0.001 (0.001)	Loss 2.8818 (2.7570)	Prec@1 35.156 (34.267)	Prec@5 62.500 (64.639)
Epoch: [20][6590/14090]	Time 0.872 (0.769)	Data 0.001 (0.001)	Loss 2.8719 (2.7569)	Prec@1 30.469 (34.270)	Prec@5 62.500 (64.640)
Epoch: [20][6600/14090]	Time 0.736 (0.769)	Data 0.001 (0.001)	Loss 2.6508 (2.7569)	Prec@1 38.281 (34.269)	Prec@5 62.500 (64.640)
Epoch: [20][6610/14090]	Time 0.757 (0.769)	Data 0.001 (0.001)	Loss 2.5281 (2.7570)	Prec@1 37.500 (34.268)	Prec@5 72.656 (64.639)
Epoch: [20][6620/14090]	Time 0.780 (0.769)	Data 0.001 (0.001)	Loss 2.6516 (2.7570)	Prec@1 35.156 (34.267)	Prec@5 69.531 (64.638)
Epoch: [20][6630/14090]	Time 0.751 (0.769)	Data 0.001 (0.001)	Loss 2.5202 (2.7570)	Prec@1 40.625 (34.268)	Prec@5 72.656 (64.637)
Epoch: [20][6640/14090]	Time 0.754 (0.769)	Data 0.001 (0.001)	Loss 2.5931 (2.7571)	Prec@1 32.812 (34.264)	Prec@5 69.531 (64.636)
Epoch: [20][6650/14090]	Time 0.761 (0.769)	Data 0.001 (0.001)	Loss 2.8646 (2.7571)	Prec@1 34.375 (34.264)	Prec@5 64.062 (64.637)
Epoch: [20][6660/14090]	Time 0.922 (0.769)	Data 0.002 (0.001)	Loss 2.6656 (2.7571)	Prec@1 38.281 (34.263)	Prec@5 65.625 (64.638)
Epoch: [20][6670/14090]	Time 0.754 (0.769)	Data 0.001 (0.001)	Loss 2.7144 (2.7570)	Prec@1 38.281 (34.266)	Prec@5 60.156 (64.640)
Epoch: [20][6680/14090]	Time 0.730 (0.769)	Data 0.001 (0.001)	Loss 2.8352 (2.7569)	Prec@1 37.500 (34.267)	Prec@5 64.844 (64.640)
Epoch: [20][6690/14090]	Time 0.750 (0.769)	Data 0.001 (0.001)	Loss 2.6366 (2.7568)	Prec@1 37.500 (34.269)	Prec@5 64.062 (64.640)
Epoch: [20][6700/14090]	Time 0.732 (0.769)	Data 0.001 (0.001)	Loss 3.0151 (2.7568)	Prec@1 28.125 (34.268)	Prec@5 57.031 (64.638)
Epoch: [20][6710/14090]	Time 0.752 (0.769)	Data 0.001 (0.001)	Loss 2.9065 (2.7568)	Prec@1 34.375 (34.270)	Prec@5 62.500 (64.635)
Epoch: [20][6720/14090]	Time 0.752 (0.769)	Data 0.001 (0.001)	Loss 2.9540 (2.7568)	Prec@1 26.562 (34.268)	Prec@5 64.062 (64.634)
Epoch: [20][6730/14090]	Time 0.898 (0.769)	Data 0.001 (0.001)	Loss 3.0116 (2.7570)	Prec@1 25.781 (34.267)	Prec@5 67.969 (64.631)
Epoch: [20][6740/14090]	Time 0.734 (0.769)	Data 0.001 (0.001)	Loss 2.7029 (2.7568)	Prec@1 33.594 (34.270)	Prec@5 63.281 (64.634)
Epoch: [20][6750/14090]	Time 0.759 (0.769)	Data 0.001 (0.001)	Loss 2.5418 (2.7568)	Prec@1 35.938 (34.268)	Prec@5 67.188 (64.635)
Epoch: [20][6760/14090]	Time 0.757 (0.769)	Data 0.001 (0.001)	Loss 2.6202 (2.7566)	Prec@1 30.469 (34.273)	Prec@5 66.406 (64.638)
Epoch: [20][6770/14090]	Time 0.754 (0.769)	Data 0.001 (0.001)	Loss 2.8512 (2.7566)	Prec@1 32.812 (34.274)	Prec@5 63.281 (64.639)
Epoch: [20][6780/14090]	Time 0.777 (0.769)	Data 0.001 (0.001)	Loss 2.5785 (2.7565)	Prec@1 41.406 (34.275)	Prec@5 68.750 (64.645)
Epoch: [20][6790/14090]	Time 0.746 (0.769)	Data 0.001 (0.001)	Loss 2.7905 (2.7565)	Prec@1 32.031 (34.276)	Prec@5 66.406 (64.646)
Epoch: [20][6800/14090]	Time 0.895 (0.769)	Data 0.001 (0.001)	Loss 2.6545 (2.7565)	Prec@1 36.719 (34.276)	Prec@5 60.938 (64.647)
Epoch: [20][6810/14090]	Time 0.736 (0.769)	Data 0.001 (0.001)	Loss 2.6571 (2.7564)	Prec@1 32.812 (34.275)	Prec@5 72.656 (64.650)
Epoch: [20][6820/14090]	Time 0.729 (0.769)	Data 0.001 (0.001)	Loss 2.9930 (2.7564)	Prec@1 32.812 (34.277)	Prec@5 62.500 (64.651)
Epoch: [20][6830/14090]	Time 0.732 (0.769)	Data 0.001 (0.001)	Loss 2.6914 (2.7565)	Prec@1 34.375 (34.273)	Prec@5 67.188 (64.649)
Epoch: [20][6840/14090]	Time 0.754 (0.769)	Data 0.001 (0.001)	Loss 2.9867 (2.7565)	Prec@1 30.469 (34.274)	Prec@5 58.594 (64.649)
Epoch: [20][6850/14090]	Time 0.739 (0.769)	Data 0.001 (0.001)	Loss 2.7827 (2.7565)	Prec@1 33.594 (34.272)	Prec@5 63.281 (64.650)
Epoch: [20][6860/14090]	Time 0.736 (0.769)	Data 0.001 (0.001)	Loss 2.5308 (2.7566)	Prec@1 34.375 (34.270)	Prec@5 65.625 (64.645)
Epoch: [20][6870/14090]	Time 0.893 (0.769)	Data 0.001 (0.001)	Loss 2.6219 (2.7565)	Prec@1 39.844 (34.272)	Prec@5 67.188 (64.647)
Epoch: [20][6880/14090]	Time 0.762 (0.769)	Data 0.001 (0.001)	Loss 2.6329 (2.7565)	Prec@1 42.188 (34.273)	Prec@5 69.531 (64.650)
Epoch: [20][6890/14090]	Time 0.743 (0.769)	Data 0.001 (0.001)	Loss 2.5973 (2.7566)	Prec@1 33.594 (34.270)	Prec@5 68.750 (64.648)
Epoch: [20][6900/14090]	Time 0.745 (0.769)	Data 0.001 (0.001)	Loss 2.6665 (2.7566)	Prec@1 35.938 (34.271)	Prec@5 66.406 (64.649)
Epoch: [20][6910/14090]	Time 0.744 (0.769)	Data 0.001 (0.001)	Loss 2.5396 (2.7565)	Prec@1 32.812 (34.271)	Prec@5 71.875 (64.650)
Epoch: [20][6920/14090]	Time 0.727 (0.769)	Data 0.001 (0.001)	Loss 2.8739 (2.7566)	Prec@1 31.250 (34.270)	Prec@5 60.938 (64.651)
Epoch: [20][6930/14090]	Time 0.737 (0.769)	Data 0.001 (0.001)	Loss 2.9984 (2.7566)	Prec@1 32.812 (34.271)	Prec@5 61.719 (64.650)
Epoch: [20][6940/14090]	Time 0.856 (0.769)	Data 0.001 (0.001)	Loss 2.5050 (2.7565)	Prec@1 38.281 (34.274)	Prec@5 70.312 (64.651)
Epoch: [20][6950/14090]	Time 0.749 (0.769)	Data 0.001 (0.001)	Loss 2.8652 (2.7564)	Prec@1 37.500 (34.277)	Prec@5 61.719 (64.651)
Epoch: [20][6960/14090]	Time 0.757 (0.769)	Data 0.001 (0.001)	Loss 2.9696 (2.7564)	Prec@1 30.469 (34.277)	Prec@5 62.500 (64.652)
Epoch: [20][6970/14090]	Time 0.760 (0.769)	Data 0.001 (0.001)	Loss 3.0965 (2.7566)	Prec@1 25.781 (34.276)	Prec@5 57.812 (64.649)
Epoch: [20][6980/14090]	Time 0.735 (0.769)	Data 0.001 (0.001)	Loss 2.6522 (2.7565)	Prec@1 38.281 (34.278)	Prec@5 64.844 (64.651)
Epoch: [20][6990/14090]	Time 0.753 (0.769)	Data 0.001 (0.001)	Loss 3.0017 (2.7565)	Prec@1 26.562 (34.276)	Prec@5 59.375 (64.649)
Epoch: [20][7000/14090]	Time 0.770 (0.769)	Data 0.001 (0.001)	Loss 2.9312 (2.7565)	Prec@1 30.469 (34.275)	Prec@5 60.938 (64.648)
Epoch: [20][7010/14090]	Time 0.888 (0.769)	Data 0.001 (0.001)	Loss 2.7878 (2.7566)	Prec@1 32.031 (34.273)	Prec@5 64.844 (64.649)
Epoch: [20][7020/14090]	Time 0.784 (0.769)	Data 0.001 (0.001)	Loss 2.8256 (2.7565)	Prec@1 37.500 (34.274)	Prec@5 64.844 (64.650)
Epoch: [20][7030/14090]	Time 0.737 (0.769)	Data 0.001 (0.001)	Loss 2.9123 (2.7566)	Prec@1 29.688 (34.273)	Prec@5 62.500 (64.649)
Epoch: [20][7040/14090]	Time 0.754 (0.769)	Data 0.001 (0.001)	Loss 2.3933 (2.7565)	Prec@1 41.406 (34.277)	Prec@5 71.875 (64.652)
Epoch: [20][7050/14090]	Time 0.738 (0.769)	Data 0.001 (0.001)	Loss 2.8039 (2.7566)	Prec@1 35.938 (34.275)	Prec@5 63.281 (64.649)
Epoch: [20][7060/14090]	Time 0.731 (0.769)	Data 0.001 (0.001)	Loss 2.8209 (2.7565)	Prec@1 38.281 (34.277)	Prec@5 61.719 (64.652)
Epoch: [20][7070/14090]	Time 0.781 (0.769)	Data 0.001 (0.001)	Loss 2.6410 (2.7565)	Prec@1 33.594 (34.277)	Prec@5 66.406 (64.652)
Epoch: [20][7080/14090]	Time 0.857 (0.769)	Data 0.001 (0.001)	Loss 2.7173 (2.7566)	Prec@1 35.156 (34.274)	Prec@5 64.844 (64.651)
Epoch: [20][7090/14090]	Time 0.727 (0.769)	Data 0.001 (0.001)	Loss 2.7918 (2.7566)	Prec@1 34.375 (34.275)	Prec@5 64.062 (64.649)
Epoch: [20][7100/14090]	Time 0.758 (0.769)	Data 0.001 (0.001)	Loss 2.5333 (2.7566)	Prec@1 39.844 (34.277)	Prec@5 67.969 (64.650)
Epoch: [20][7110/14090]	Time 0.778 (0.769)	Data 0.001 (0.001)	Loss 2.5425 (2.7565)	Prec@1 34.375 (34.277)	Prec@5 71.094 (64.654)
Epoch: [20][7120/14090]	Time 0.747 (0.769)	Data 0.001 (0.001)	Loss 2.6148 (2.7565)	Prec@1 32.031 (34.274)	Prec@5 69.531 (64.653)
Epoch: [20][7130/14090]	Time 0.786 (0.769)	Data 0.001 (0.001)	Loss 2.7632 (2.7565)	Prec@1 34.375 (34.274)	Prec@5 64.844 (64.655)
Epoch: [20][7140/14090]	Time 0.726 (0.769)	Data 0.001 (0.001)	Loss 2.8095 (2.7564)	Prec@1 33.594 (34.272)	Prec@5 62.500 (64.656)
Epoch: [20][7150/14090]	Time 0.854 (0.769)	Data 0.001 (0.001)	Loss 2.7450 (2.7564)	Prec@1 36.719 (34.273)	Prec@5 64.062 (64.658)
Epoch: [20][7160/14090]	Time 0.745 (0.769)	Data 0.001 (0.001)	Loss 2.5771 (2.7564)	Prec@1 35.938 (34.271)	Prec@5 69.531 (64.656)
Epoch: [20][7170/14090]	Time 0.731 (0.769)	Data 0.001 (0.001)	Loss 2.7978 (2.7566)	Prec@1 36.719 (34.269)	Prec@5 67.969 (64.654)
Epoch: [20][7180/14090]	Time 0.761 (0.769)	Data 0.001 (0.001)	Loss 2.8645 (2.7566)	Prec@1 33.594 (34.269)	Prec@5 58.594 (64.652)
Epoch: [20][7190/14090]	Time 0.737 (0.769)	Data 0.001 (0.001)	Loss 2.7020 (2.7565)	Prec@1 38.281 (34.270)	Prec@5 67.188 (64.654)
Epoch: [20][7200/14090]	Time 0.756 (0.769)	Data 0.001 (0.001)	Loss 3.0275 (2.7566)	Prec@1 25.000 (34.269)	Prec@5 62.500 (64.653)
Epoch: [20][7210/14090]	Time 0.736 (0.769)	Data 0.001 (0.001)	Loss 2.6097 (2.7566)	Prec@1 39.844 (34.267)	Prec@5 70.312 (64.655)
Epoch: [20][7220/14090]	Time 0.860 (0.769)	Data 0.001 (0.001)	Loss 2.8040 (2.7566)	Prec@1 34.375 (34.267)	Prec@5 65.625 (64.654)
Epoch: [20][7230/14090]	Time 0.749 (0.769)	Data 0.001 (0.001)	Loss 2.5924 (2.7567)	Prec@1 32.031 (34.264)	Prec@5 70.312 (64.653)
Epoch: [20][7240/14090]	Time 0.734 (0.769)	Data 0.001 (0.001)	Loss 2.5529 (2.7567)	Prec@1 39.062 (34.265)	Prec@5 73.438 (64.653)
Epoch: [20][7250/14090]	Time 0.743 (0.769)	Data 0.001 (0.001)	Loss 2.8260 (2.7567)	Prec@1 34.375 (34.265)	Prec@5 67.188 (64.652)
Epoch: [20][7260/14090]	Time 0.766 (0.769)	Data 0.001 (0.001)	Loss 2.6522 (2.7567)	Prec@1 35.156 (34.265)	Prec@5 66.406 (64.653)
Epoch: [20][7270/14090]	Time 0.751 (0.769)	Data 0.001 (0.001)	Loss 2.7748 (2.7566)	Prec@1 35.156 (34.264)	Prec@5 66.406 (64.654)
Epoch: [20][7280/14090]	Time 0.740 (0.769)	Data 0.001 (0.001)	Loss 2.9094 (2.7567)	Prec@1 31.250 (34.262)	Prec@5 57.031 (64.652)
Epoch: [20][7290/14090]	Time 0.827 (0.769)	Data 0.001 (0.001)	Loss 2.6745 (2.7568)	Prec@1 36.719 (34.259)	Prec@5 66.406 (64.650)
Epoch: [20][7300/14090]	Time 0.758 (0.769)	Data 0.001 (0.001)	Loss 2.8959 (2.7569)	Prec@1 25.781 (34.256)	Prec@5 61.719 (64.649)
Epoch: [20][7310/14090]	Time 0.749 (0.769)	Data 0.001 (0.001)	Loss 2.9808 (2.7570)	Prec@1 35.938 (34.255)	Prec@5 54.688 (64.647)
Epoch: [20][7320/14090]	Time 0.738 (0.769)	Data 0.001 (0.001)	Loss 2.6642 (2.7570)	Prec@1 38.281 (34.256)	Prec@5 64.844 (64.648)
Epoch: [20][7330/14090]	Time 0.732 (0.769)	Data 0.001 (0.001)	Loss 2.7947 (2.7569)	Prec@1 32.812 (34.257)	Prec@5 64.062 (64.650)
Epoch: [20][7340/14090]	Time 0.754 (0.769)	Data 0.001 (0.001)	Loss 3.1501 (2.7570)	Prec@1 28.125 (34.255)	Prec@5 53.125 (64.647)
Epoch: [20][7350/14090]	Time 0.740 (0.769)	Data 0.001 (0.001)	Loss 2.6552 (2.7571)	Prec@1 33.594 (34.254)	Prec@5 66.406 (64.646)
Epoch: [20][7360/14090]	Time 0.858 (0.769)	Data 0.001 (0.001)	Loss 2.8010 (2.7570)	Prec@1 33.594 (34.257)	Prec@5 65.625 (64.647)
Epoch: [20][7370/14090]	Time 0.749 (0.769)	Data 0.001 (0.001)	Loss 2.6283 (2.7569)	Prec@1 35.156 (34.256)	Prec@5 68.750 (64.648)
Epoch: [20][7380/14090]	Time 0.764 (0.769)	Data 0.001 (0.001)	Loss 2.6555 (2.7569)	Prec@1 40.625 (34.256)	Prec@5 62.500 (64.649)
Epoch: [20][7390/14090]	Time 0.734 (0.769)	Data 0.001 (0.001)	Loss 2.9213 (2.7569)	Prec@1 33.594 (34.256)	Prec@5 63.281 (64.651)
Epoch: [20][7400/14090]	Time 0.744 (0.769)	Data 0.001 (0.001)	Loss 2.9531 (2.7569)	Prec@1 30.469 (34.256)	Prec@5 66.406 (64.650)
Epoch: [20][7410/14090]	Time 0.743 (0.769)	Data 0.001 (0.001)	Loss 3.1040 (2.7569)	Prec@1 32.031 (34.255)	Prec@5 57.812 (64.651)
Epoch: [20][7420/14090]	Time 0.730 (0.769)	Data 0.001 (0.001)	Loss 2.4248 (2.7569)	Prec@1 42.188 (34.256)	Prec@5 68.750 (64.653)
Epoch: [20][7430/14090]	Time 0.874 (0.769)	Data 0.001 (0.001)	Loss 2.8257 (2.7569)	Prec@1 26.562 (34.259)	Prec@5 64.844 (64.655)
Epoch: [20][7440/14090]	Time 0.759 (0.769)	Data 0.001 (0.001)	Loss 2.8809 (2.7568)	Prec@1 33.594 (34.259)	Prec@5 58.594 (64.655)
Epoch: [20][7450/14090]	Time 0.735 (0.769)	Data 0.001 (0.001)	Loss 2.6440 (2.7567)	Prec@1 35.156 (34.262)	Prec@5 71.094 (64.658)
Epoch: [20][7460/14090]	Time 0.767 (0.769)	Data 0.001 (0.001)	Loss 2.6573 (2.7566)	Prec@1 35.156 (34.264)	Prec@5 71.875 (64.659)
Epoch: [20][7470/14090]	Time 0.752 (0.769)	Data 0.001 (0.001)	Loss 2.7093 (2.7566)	Prec@1 35.938 (34.262)	Prec@5 64.844 (64.658)
Epoch: [20][7480/14090]	Time 0.753 (0.769)	Data 0.001 (0.001)	Loss 2.6221 (2.7566)	Prec@1 36.719 (34.263)	Prec@5 67.188 (64.657)
Epoch: [20][7490/14090]	Time 0.741 (0.769)	Data 0.001 (0.001)	Loss 2.8943 (2.7566)	Prec@1 37.500 (34.262)	Prec@5 60.938 (64.657)
Epoch: [20][7500/14090]	Time 0.892 (0.769)	Data 0.002 (0.001)	Loss 2.6834 (2.7566)	Prec@1 37.500 (34.263)	Prec@5 67.969 (64.659)
Epoch: [20][7510/14090]	Time 0.736 (0.769)	Data 0.001 (0.001)	Loss 2.9041 (2.7565)	Prec@1 34.375 (34.262)	Prec@5 61.719 (64.660)
Epoch: [20][7520/14090]	Time 0.732 (0.769)	Data 0.001 (0.001)	Loss 2.9178 (2.7565)	Prec@1 34.375 (34.260)	Prec@5 53.125 (64.659)
Epoch: [20][7530/14090]	Time 0.746 (0.769)	Data 0.001 (0.001)	Loss 2.9602 (2.7565)	Prec@1 30.469 (34.260)	Prec@5 60.156 (64.659)
Epoch: [20][7540/14090]	Time 0.740 (0.769)	Data 0.001 (0.001)	Loss 2.6584 (2.7565)	Prec@1 37.500 (34.261)	Prec@5 66.406 (64.660)
Epoch: [20][7550/14090]	Time 0.722 (0.769)	Data 0.001 (0.001)	Loss 2.8324 (2.7565)	Prec@1 34.375 (34.264)	Prec@5 64.844 (64.661)
Epoch: [20][7560/14090]	Time 0.750 (0.769)	Data 0.001 (0.001)	Loss 2.8923 (2.7564)	Prec@1 34.375 (34.265)	Prec@5 64.062 (64.665)
Epoch: [20][7570/14090]	Time 0.861 (0.769)	Data 0.001 (0.001)	Loss 2.8021 (2.7565)	Prec@1 34.375 (34.265)	Prec@5 61.719 (64.664)
Epoch: [20][7580/14090]	Time 0.764 (0.769)	Data 0.001 (0.001)	Loss 2.9379 (2.7565)	Prec@1 27.344 (34.265)	Prec@5 60.156 (64.664)
Epoch: [20][7590/14090]	Time 0.775 (0.769)	Data 0.001 (0.001)	Loss 2.8844 (2.7565)	Prec@1 32.031 (34.264)	Prec@5 64.844 (64.662)
Epoch: [20][7600/14090]	Time 0.748 (0.769)	Data 0.001 (0.001)	Loss 2.6804 (2.7565)	Prec@1 34.375 (34.264)	Prec@5 63.281 (64.663)
Epoch: [20][7610/14090]	Time 0.734 (0.769)	Data 0.001 (0.001)	Loss 2.9229 (2.7565)	Prec@1 27.344 (34.262)	Prec@5 64.062 (64.665)
Epoch: [20][7620/14090]	Time 0.755 (0.769)	Data 0.001 (0.001)	Loss 2.9622 (2.7565)	Prec@1 29.688 (34.261)	Prec@5 60.156 (64.664)
Epoch: [20][7630/14090]	Time 0.735 (0.769)	Data 0.001 (0.001)	Loss 3.0387 (2.7566)	Prec@1 36.719 (34.260)	Prec@5 56.250 (64.662)
Epoch: [20][7640/14090]	Time 0.899 (0.769)	Data 0.001 (0.001)	Loss 2.6661 (2.7566)	Prec@1 35.156 (34.259)	Prec@5 66.406 (64.661)
Epoch: [20][7650/14090]	Time 0.747 (0.769)	Data 0.001 (0.001)	Loss 2.5559 (2.7565)	Prec@1 32.031 (34.261)	Prec@5 67.969 (64.663)
Epoch: [20][7660/14090]	Time 0.735 (0.769)	Data 0.001 (0.001)	Loss 2.7363 (2.7564)	Prec@1 33.594 (34.261)	Prec@5 63.281 (64.664)
Epoch: [20][7670/14090]	Time 0.720 (0.769)	Data 0.001 (0.001)	Loss 2.6682 (2.7563)	Prec@1 34.375 (34.263)	Prec@5 68.750 (64.668)
Epoch: [20][7680/14090]	Time 0.736 (0.769)	Data 0.001 (0.001)	Loss 2.7433 (2.7563)	Prec@1 28.906 (34.262)	Prec@5 67.188 (64.668)
Epoch: [20][7690/14090]	Time 0.755 (0.769)	Data 0.001 (0.001)	Loss 2.7262 (2.7563)	Prec@1 32.031 (34.263)	Prec@5 67.969 (64.670)
Epoch: [20][7700/14090]	Time 0.774 (0.769)	Data 0.001 (0.001)	Loss 2.5560 (2.7562)	Prec@1 40.625 (34.265)	Prec@5 64.844 (64.670)
Epoch: [20][7710/14090]	Time 0.880 (0.769)	Data 0.002 (0.001)	Loss 2.7399 (2.7562)	Prec@1 35.156 (34.262)	Prec@5 65.625 (64.668)
Epoch: [20][7720/14090]	Time 0.719 (0.769)	Data 0.001 (0.001)	Loss 2.6691 (2.7562)	Prec@1 29.688 (34.261)	Prec@5 66.406 (64.670)
Epoch: [20][7730/14090]	Time 0.737 (0.769)	Data 0.001 (0.001)	Loss 2.5747 (2.7562)	Prec@1 31.250 (34.260)	Prec@5 72.656 (64.672)
Epoch: [20][7740/14090]	Time 0.750 (0.769)	Data 0.001 (0.001)	Loss 2.7141 (2.7561)	Prec@1 32.031 (34.259)	Prec@5 63.281 (64.674)
Epoch: [20][7750/14090]	Time 0.733 (0.769)	Data 0.001 (0.001)	Loss 2.9284 (2.7562)	Prec@1 26.562 (34.258)	Prec@5 60.938 (64.673)
Epoch: [20][7760/14090]	Time 0.765 (0.769)	Data 0.001 (0.001)	Loss 2.9436 (2.7563)	Prec@1 31.250 (34.255)	Prec@5 60.938 (64.671)
Epoch: [20][7770/14090]	Time 0.779 (0.769)	Data 0.001 (0.001)	Loss 2.8114 (2.7564)	Prec@1 29.688 (34.253)	Prec@5 60.156 (64.670)
Epoch: [20][7780/14090]	Time 0.899 (0.769)	Data 0.001 (0.001)	Loss 2.9240 (2.7564)	Prec@1 28.125 (34.253)	Prec@5 60.938 (64.668)
Epoch: [20][7790/14090]	Time 0.741 (0.769)	Data 0.001 (0.001)	Loss 2.5358 (2.7563)	Prec@1 37.500 (34.254)	Prec@5 65.625 (64.669)
Epoch: [20][7800/14090]	Time 0.754 (0.769)	Data 0.001 (0.001)	Loss 2.7797 (2.7562)	Prec@1 38.281 (34.255)	Prec@5 64.844 (64.670)
Epoch: [20][7810/14090]	Time 0.722 (0.769)	Data 0.001 (0.001)	Loss 2.5476 (2.7563)	Prec@1 36.719 (34.255)	Prec@5 69.531 (64.669)
Epoch: [20][7820/14090]	Time 0.783 (0.769)	Data 0.001 (0.001)	Loss 2.3632 (2.7563)	Prec@1 37.500 (34.254)	Prec@5 69.531 (64.669)
Epoch: [20][7830/14090]	Time 0.757 (0.769)	Data 0.001 (0.001)	Loss 2.7460 (2.7563)	Prec@1 32.812 (34.255)	Prec@5 67.188 (64.671)
Epoch: [20][7840/14090]	Time 0.754 (0.769)	Data 0.001 (0.001)	Loss 2.9090 (2.7562)	Prec@1 27.344 (34.256)	Prec@5 62.500 (64.673)
Epoch: [20][7850/14090]	Time 0.922 (0.769)	Data 0.001 (0.001)	Loss 3.0082 (2.7563)	Prec@1 34.375 (34.254)	Prec@5 60.156 (64.672)
Epoch: [20][7860/14090]	Time 0.739 (0.769)	Data 0.001 (0.001)	Loss 2.7869 (2.7565)	Prec@1 32.031 (34.248)	Prec@5 61.719 (64.667)
Epoch: [20][7870/14090]	Time 0.742 (0.769)	Data 0.001 (0.001)	Loss 2.7990 (2.7565)	Prec@1 30.469 (34.247)	Prec@5 66.406 (64.667)
Epoch: [20][7880/14090]	Time 0.738 (0.769)	Data 0.001 (0.001)	Loss 2.5525 (2.7565)	Prec@1 38.281 (34.248)	Prec@5 68.750 (64.666)
Epoch: [20][7890/14090]	Time 0.756 (0.769)	Data 0.001 (0.001)	Loss 2.5542 (2.7565)	Prec@1 32.812 (34.249)	Prec@5 70.312 (64.665)
Epoch: [20][7900/14090]	Time 0.725 (0.769)	Data 0.001 (0.001)	Loss 2.6522 (2.7565)	Prec@1 37.500 (34.248)	Prec@5 67.188 (64.664)
Epoch: [20][7910/14090]	Time 0.753 (0.769)	Data 0.001 (0.001)	Loss 2.9095 (2.7566)	Prec@1 29.688 (34.248)	Prec@5 60.156 (64.664)
Epoch: [20][7920/14090]	Time 0.836 (0.769)	Data 0.001 (0.001)	Loss 2.6282 (2.7566)	Prec@1 35.938 (34.248)	Prec@5 73.438 (64.664)
Epoch: [20][7930/14090]	Time 0.755 (0.769)	Data 0.001 (0.001)	Loss 2.7502 (2.7566)	Prec@1 30.469 (34.249)	Prec@5 64.844 (64.666)
Epoch: [20][7940/14090]	Time 0.753 (0.769)	Data 0.001 (0.001)	Loss 2.7166 (2.7565)	Prec@1 31.250 (34.250)	Prec@5 67.969 (64.666)
Epoch: [20][7950/14090]	Time 0.775 (0.769)	Data 0.001 (0.001)	Loss 2.5752 (2.7565)	Prec@1 39.062 (34.250)	Prec@5 66.406 (64.666)
Epoch: [20][7960/14090]	Time 0.755 (0.769)	Data 0.001 (0.001)	Loss 2.7371 (2.7566)	Prec@1 32.031 (34.251)	Prec@5 62.500 (64.664)
Epoch: [20][7970/14090]	Time 0.772 (0.769)	Data 0.001 (0.001)	Loss 2.7311 (2.7567)	Prec@1 36.719 (34.250)	Prec@5 66.406 (64.664)
Epoch: [20][7980/14090]	Time 0.732 (0.769)	Data 0.001 (0.001)	Loss 2.6489 (2.7566)	Prec@1 32.812 (34.251)	Prec@5 64.844 (64.664)
Epoch: [20][7990/14090]	Time 0.883 (0.769)	Data 0.001 (0.001)	Loss 3.0150 (2.7567)	Prec@1 25.000 (34.249)	Prec@5 61.719 (64.662)
Epoch: [20][8000/14090]	Time 0.736 (0.769)	Data 0.001 (0.001)	Loss 2.9758 (2.7567)	Prec@1 26.562 (34.251)	Prec@5 60.156 (64.663)
Epoch: [20][8010/14090]	Time 0.737 (0.769)	Data 0.001 (0.001)	Loss 2.5603 (2.7566)	Prec@1 36.719 (34.253)	Prec@5 67.188 (64.664)
Epoch: [20][8020/14090]	Time 0.761 (0.769)	Data 0.001 (0.001)	Loss 2.7624 (2.7566)	Prec@1 34.375 (34.251)	Prec@5 61.719 (64.664)
Epoch: [20][8030/14090]	Time 0.782 (0.769)	Data 0.001 (0.001)	Loss 2.7377 (2.7567)	Prec@1 36.719 (34.252)	Prec@5 63.281 (64.663)
Epoch: [20][8040/14090]	Time 0.760 (0.769)	Data 0.001 (0.001)	Loss 2.5666 (2.7567)	Prec@1 32.031 (34.252)	Prec@5 68.750 (64.663)
Epoch: [20][8050/14090]	Time 0.748 (0.769)	Data 0.001 (0.001)	Loss 2.6190 (2.7568)	Prec@1 31.250 (34.251)	Prec@5 68.750 (64.663)
Epoch: [20][8060/14090]	Time 0.881 (0.769)	Data 0.001 (0.001)	Loss 2.9676 (2.7568)	Prec@1 27.344 (34.250)	Prec@5 64.844 (64.662)
Epoch: [20][8070/14090]	Time 0.768 (0.769)	Data 0.001 (0.001)	Loss 2.8173 (2.7569)	Prec@1 31.250 (34.249)	Prec@5 64.062 (64.660)
Epoch: [20][8080/14090]	Time 0.725 (0.769)	Data 0.001 (0.001)	Loss 2.9756 (2.7570)	Prec@1 32.812 (34.248)	Prec@5 58.594 (64.658)
Epoch: [20][8090/14090]	Time 0.737 (0.769)	Data 0.001 (0.001)	Loss 2.7246 (2.7569)	Prec@1 31.250 (34.248)	Prec@5 68.750 (64.661)
Epoch: [20][8100/14090]	Time 0.728 (0.769)	Data 0.001 (0.001)	Loss 2.6493 (2.7569)	Prec@1 32.812 (34.250)	Prec@5 65.625 (64.662)
Epoch: [20][8110/14090]	Time 0.728 (0.769)	Data 0.001 (0.001)	Loss 2.7854 (2.7570)	Prec@1 31.250 (34.250)	Prec@5 63.281 (64.662)
Epoch: [20][8120/14090]	Time 0.742 (0.769)	Data 0.001 (0.001)	Loss 2.8664 (2.7570)	Prec@1 32.812 (34.252)	Prec@5 63.281 (64.661)
Epoch: [20][8130/14090]	Time 0.893 (0.769)	Data 0.002 (0.001)	Loss 2.7985 (2.7570)	Prec@1 35.938 (34.253)	Prec@5 60.938 (64.660)
Epoch: [20][8140/14090]	Time 0.725 (0.769)	Data 0.001 (0.001)	Loss 2.9996 (2.7570)	Prec@1 31.250 (34.255)	Prec@5 57.812 (64.656)
Epoch: [20][8150/14090]	Time 0.741 (0.769)	Data 0.001 (0.001)	Loss 2.8368 (2.7571)	Prec@1 32.812 (34.251)	Prec@5 66.406 (64.657)
Epoch: [20][8160/14090]	Time 0.748 (0.769)	Data 0.001 (0.001)	Loss 2.6022 (2.7571)	Prec@1 38.281 (34.254)	Prec@5 66.406 (64.658)
Epoch: [20][8170/14090]	Time 0.787 (0.769)	Data 0.001 (0.001)	Loss 2.6773 (2.7570)	Prec@1 35.156 (34.256)	Prec@5 67.188 (64.657)
Epoch: [20][8180/14090]	Time 0.757 (0.769)	Data 0.001 (0.001)	Loss 3.0687 (2.7571)	Prec@1 24.219 (34.253)	Prec@5 61.719 (64.657)
Epoch: [20][8190/14090]	Time 0.748 (0.769)	Data 0.001 (0.001)	Loss 2.7289 (2.7572)	Prec@1 39.062 (34.249)	Prec@5 66.406 (64.654)
Epoch: [20][8200/14090]	Time 0.864 (0.769)	Data 0.001 (0.001)	Loss 2.5448 (2.7572)	Prec@1 33.594 (34.250)	Prec@5 68.750 (64.654)
Epoch: [20][8210/14090]	Time 0.767 (0.769)	Data 0.001 (0.001)	Loss 2.8811 (2.7571)	Prec@1 35.938 (34.252)	Prec@5 64.062 (64.656)
Epoch: [20][8220/14090]	Time 0.752 (0.769)	Data 0.001 (0.001)	Loss 2.9044 (2.7571)	Prec@1 36.719 (34.254)	Prec@5 64.844 (64.659)
Epoch: [20][8230/14090]	Time 0.723 (0.769)	Data 0.001 (0.001)	Loss 2.4864 (2.7569)	Prec@1 39.844 (34.257)	Prec@5 73.438 (64.663)
Epoch: [20][8240/14090]	Time 0.768 (0.769)	Data 0.001 (0.001)	Loss 3.0986 (2.7571)	Prec@1 28.906 (34.254)	Prec@5 57.031 (64.661)
Epoch: [20][8250/14090]	Time 0.756 (0.769)	Data 0.001 (0.001)	Loss 2.7778 (2.7571)	Prec@1 36.719 (34.255)	Prec@5 63.281 (64.661)
Epoch: [20][8260/14090]	Time 0.751 (0.769)	Data 0.001 (0.001)	Loss 2.8696 (2.7570)	Prec@1 34.375 (34.256)	Prec@5 61.719 (64.661)
Epoch: [20][8270/14090]	Time 0.863 (0.769)	Data 0.001 (0.001)	Loss 2.9557 (2.7570)	Prec@1 33.594 (34.255)	Prec@5 60.938 (64.662)
Epoch: [20][8280/14090]	Time 0.778 (0.769)	Data 0.001 (0.001)	Loss 2.9079 (2.7569)	Prec@1 31.250 (34.256)	Prec@5 57.812 (64.661)
Epoch: [20][8290/14090]	Time 0.783 (0.769)	Data 0.001 (0.001)	Loss 2.7851 (2.7570)	Prec@1 34.375 (34.255)	Prec@5 60.156 (64.660)
Epoch: [20][8300/14090]	Time 0.779 (0.769)	Data 0.001 (0.001)	Loss 2.5413 (2.7569)	Prec@1 35.156 (34.256)	Prec@5 71.094 (64.662)
Epoch: [20][8310/14090]	Time 0.784 (0.769)	Data 0.001 (0.001)	Loss 2.9225 (2.7569)	Prec@1 32.031 (34.256)	Prec@5 62.500 (64.662)
Epoch: [20][8320/14090]	Time 0.753 (0.769)	Data 0.001 (0.001)	Loss 2.7127 (2.7569)	Prec@1 31.250 (34.255)	Prec@5 68.750 (64.662)
Epoch: [20][8330/14090]	Time 0.769 (0.769)	Data 0.001 (0.001)	Loss 2.8102 (2.7568)	Prec@1 36.719 (34.257)	Prec@5 60.156 (64.662)
Epoch: [20][8340/14090]	Time 0.904 (0.769)	Data 0.001 (0.001)	Loss 2.5586 (2.7569)	Prec@1 33.594 (34.256)	Prec@5 70.312 (64.662)
Epoch: [20][8350/14090]	Time 0.734 (0.769)	Data 0.001 (0.001)	Loss 2.9616 (2.7569)	Prec@1 32.031 (34.257)	Prec@5 61.719 (64.660)
Epoch: [20][8360/14090]	Time 0.729 (0.769)	Data 0.001 (0.001)	Loss 2.7830 (2.7568)	Prec@1 43.750 (34.258)	Prec@5 64.844 (64.661)
Epoch: [20][8370/14090]	Time 0.753 (0.769)	Data 0.001 (0.001)	Loss 2.6762 (2.7568)	Prec@1 32.031 (34.258)	Prec@5 65.625 (64.660)
Epoch: [20][8380/14090]	Time 0.750 (0.769)	Data 0.001 (0.001)	Loss 2.6540 (2.7567)	Prec@1 32.031 (34.261)	Prec@5 68.750 (64.662)
Epoch: [20][8390/14090]	Time 0.736 (0.769)	Data 0.001 (0.001)	Loss 2.6051 (2.7567)	Prec@1 38.281 (34.264)	Prec@5 69.531 (64.664)
Epoch: [20][8400/14090]	Time 0.726 (0.769)	Data 0.001 (0.001)	Loss 2.8036 (2.7566)	Prec@1 32.812 (34.265)	Prec@5 64.062 (64.663)
Epoch: [20][8410/14090]	Time 0.883 (0.769)	Data 0.001 (0.001)	Loss 2.7753 (2.7567)	Prec@1 35.156 (34.265)	Prec@5 65.625 (64.664)
Epoch: [20][8420/14090]	Time 0.745 (0.769)	Data 0.001 (0.001)	Loss 2.9432 (2.7566)	Prec@1 31.250 (34.265)	Prec@5 57.812 (64.665)
Epoch: [20][8430/14090]	Time 0.733 (0.769)	Data 0.001 (0.001)	Loss 2.7457 (2.7567)	Prec@1 38.281 (34.265)	Prec@5 65.625 (64.663)
Epoch: [20][8440/14090]	Time 0.732 (0.769)	Data 0.001 (0.001)	Loss 2.8360 (2.7568)	Prec@1 31.250 (34.262)	Prec@5 64.844 (64.662)
Epoch: [20][8450/14090]	Time 0.730 (0.769)	Data 0.001 (0.001)	Loss 3.0451 (2.7568)	Prec@1 30.469 (34.262)	Prec@5 59.375 (64.663)
Epoch: [20][8460/14090]	Time 0.735 (0.769)	Data 0.001 (0.001)	Loss 2.8500 (2.7568)	Prec@1 29.688 (34.262)	Prec@5 64.062 (64.659)
Epoch: [20][8470/14090]	Time 0.734 (0.769)	Data 0.001 (0.001)	Loss 2.5367 (2.7566)	Prec@1 39.062 (34.266)	Prec@5 74.219 (64.664)
Epoch: [20][8480/14090]	Time 0.865 (0.769)	Data 0.001 (0.001)	Loss 2.5679 (2.7567)	Prec@1 36.719 (34.265)	Prec@5 66.406 (64.663)
Epoch: [20][8490/14090]	Time 0.727 (0.769)	Data 0.001 (0.001)	Loss 2.7442 (2.7567)	Prec@1 35.938 (34.264)	Prec@5 65.625 (64.663)
Epoch: [20][8500/14090]	Time 0.735 (0.769)	Data 0.001 (0.001)	Loss 2.4747 (2.7567)	Prec@1 36.719 (34.263)	Prec@5 75.000 (64.663)
Epoch: [20][8510/14090]	Time 0.783 (0.769)	Data 0.001 (0.001)	Loss 2.8043 (2.7568)	Prec@1 31.250 (34.258)	Prec@5 66.406 (64.661)
Epoch: [20][8520/14090]	Time 0.755 (0.769)	Data 0.001 (0.001)	Loss 2.7363 (2.7568)	Prec@1 41.406 (34.260)	Prec@5 64.844 (64.661)
Epoch: [20][8530/14090]	Time 0.753 (0.769)	Data 0.001 (0.001)	Loss 2.7390 (2.7567)	Prec@1 33.594 (34.259)	Prec@5 64.062 (64.661)
Epoch: [20][8540/14090]	Time 0.761 (0.769)	Data 0.001 (0.001)	Loss 2.8048 (2.7568)	Prec@1 23.438 (34.258)	Prec@5 66.406 (64.660)
Epoch: [20][8550/14090]	Time 0.862 (0.769)	Data 0.001 (0.001)	Loss 2.7288 (2.7567)	Prec@1 27.344 (34.259)	Prec@5 66.406 (64.663)
Epoch: [20][8560/14090]	Time 0.777 (0.769)	Data 0.001 (0.001)	Loss 2.6865 (2.7567)	Prec@1 32.812 (34.260)	Prec@5 66.406 (64.662)
Epoch: [20][8570/14090]	Time 0.739 (0.769)	Data 0.001 (0.001)	Loss 2.6687 (2.7567)	Prec@1 39.844 (34.260)	Prec@5 64.062 (64.661)
Epoch: [20][8580/14090]	Time 0.732 (0.769)	Data 0.001 (0.001)	Loss 2.7493 (2.7567)	Prec@1 35.938 (34.260)	Prec@5 66.406 (64.661)
Epoch: [20][8590/14090]	Time 0.737 (0.769)	Data 0.001 (0.001)	Loss 2.7994 (2.7566)	Prec@1 32.031 (34.262)	Prec@5 65.625 (64.663)
Epoch: [20][8600/14090]	Time 0.761 (0.769)	Data 0.001 (0.001)	Loss 2.9053 (2.7567)	Prec@1 28.906 (34.261)	Prec@5 64.062 (64.661)
Epoch: [20][8610/14090]	Time 0.752 (0.769)	Data 0.001 (0.001)	Loss 2.8260 (2.7567)	Prec@1 31.250 (34.260)	Prec@5 64.062 (64.661)
Epoch: [20][8620/14090]	Time 0.900 (0.769)	Data 0.001 (0.001)	Loss 2.8514 (2.7567)	Prec@1 32.812 (34.260)	Prec@5 58.594 (64.661)
Epoch: [20][8630/14090]	Time 0.737 (0.769)	Data 0.001 (0.001)	Loss 2.7561 (2.7567)	Prec@1 35.156 (34.261)	Prec@5 71.094 (64.664)
Epoch: [20][8640/14090]	Time 0.741 (0.769)	Data 0.001 (0.001)	Loss 3.0549 (2.7566)	Prec@1 27.344 (34.261)	Prec@5 57.812 (64.665)
Epoch: [20][8650/14090]	Time 0.758 (0.769)	Data 0.001 (0.001)	Loss 2.7269 (2.7565)	Prec@1 36.719 (34.262)	Prec@5 63.281 (64.666)
Epoch: [20][8660/14090]	Time 0.743 (0.769)	Data 0.001 (0.001)	Loss 2.8008 (2.7565)	Prec@1 35.156 (34.263)	Prec@5 64.062 (64.665)
Epoch: [20][8670/14090]	Time 0.734 (0.769)	Data 0.001 (0.001)	Loss 3.0213 (2.7565)	Prec@1 27.344 (34.261)	Prec@5 56.250 (64.664)
Epoch: [20][8680/14090]	Time 0.729 (0.769)	Data 0.001 (0.001)	Loss 2.8768 (2.7567)	Prec@1 29.688 (34.259)	Prec@5 66.406 (64.662)
Epoch: [20][8690/14090]	Time 0.864 (0.769)	Data 0.001 (0.001)	Loss 2.4812 (2.7566)	Prec@1 42.188 (34.259)	Prec@5 68.750 (64.665)
Epoch: [20][8700/14090]	Time 0.788 (0.769)	Data 0.001 (0.001)	Loss 3.0021 (2.7566)	Prec@1 28.125 (34.260)	Prec@5 57.812 (64.664)
Epoch: [20][8710/14090]	Time 0.746 (0.769)	Data 0.001 (0.001)	Loss 2.4703 (2.7566)	Prec@1 35.156 (34.260)	Prec@5 70.312 (64.664)
Epoch: [20][8720/14090]	Time 0.745 (0.769)	Data 0.001 (0.001)	Loss 2.5568 (2.7564)	Prec@1 36.719 (34.264)	Prec@5 65.625 (64.668)
Epoch: [20][8730/14090]	Time 0.747 (0.769)	Data 0.001 (0.001)	Loss 2.3950 (2.7563)	Prec@1 39.062 (34.266)	Prec@5 64.062 (64.669)
Epoch: [20][8740/14090]	Time 0.769 (0.769)	Data 0.001 (0.001)	Loss 2.4947 (2.7563)	Prec@1 40.625 (34.266)	Prec@5 71.094 (64.668)
Epoch: [20][8750/14090]	Time 0.751 (0.769)	Data 0.001 (0.001)	Loss 2.7312 (2.7563)	Prec@1 38.281 (34.265)	Prec@5 63.281 (64.665)
Epoch: [20][8760/14090]	Time 0.874 (0.769)	Data 0.001 (0.001)	Loss 2.9150 (2.7564)	Prec@1 32.812 (34.263)	Prec@5 60.156 (64.663)
Epoch: [20][8770/14090]	Time 0.752 (0.769)	Data 0.001 (0.001)	Loss 2.4093 (2.7564)	Prec@1 36.719 (34.264)	Prec@5 68.750 (64.665)
Epoch: [20][8780/14090]	Time 0.754 (0.769)	Data 0.001 (0.001)	Loss 3.2362 (2.7564)	Prec@1 14.844 (34.265)	Prec@5 59.375 (64.667)
Epoch: [20][8790/14090]	Time 0.749 (0.769)	Data 0.001 (0.001)	Loss 2.9021 (2.7564)	Prec@1 33.594 (34.265)	Prec@5 61.719 (64.665)
Epoch: [20][8800/14090]	Time 0.767 (0.769)	Data 0.001 (0.001)	Loss 2.3778 (2.7563)	Prec@1 45.312 (34.267)	Prec@5 71.094 (64.668)
Epoch: [20][8810/14090]	Time 0.757 (0.769)	Data 0.001 (0.001)	Loss 3.0602 (2.7564)	Prec@1 28.125 (34.265)	Prec@5 56.250 (64.665)
Epoch: [20][8820/14090]	Time 0.762 (0.769)	Data 0.001 (0.001)	Loss 2.6922 (2.7564)	Prec@1 36.719 (34.263)	Prec@5 66.406 (64.666)
Epoch: [20][8830/14090]	Time 0.868 (0.769)	Data 0.001 (0.001)	Loss 3.1152 (2.7564)	Prec@1 25.781 (34.263)	Prec@5 51.562 (64.666)
Epoch: [20][8840/14090]	Time 0.744 (0.769)	Data 0.001 (0.001)	Loss 2.5729 (2.7564)	Prec@1 39.062 (34.261)	Prec@5 65.625 (64.666)
Epoch: [20][8850/14090]	Time 0.738 (0.769)	Data 0.001 (0.001)	Loss 2.8775 (2.7563)	Prec@1 33.594 (34.264)	Prec@5 61.719 (64.667)
Epoch: [20][8860/14090]	Time 0.753 (0.769)	Data 0.001 (0.001)	Loss 2.4479 (2.7564)	Prec@1 37.500 (34.262)	Prec@5 67.969 (64.666)
Epoch: [20][8870/14090]	Time 0.774 (0.769)	Data 0.001 (0.001)	Loss 2.6137 (2.7564)	Prec@1 35.938 (34.262)	Prec@5 64.844 (64.664)
Epoch: [20][8880/14090]	Time 0.748 (0.769)	Data 0.001 (0.001)	Loss 2.6538 (2.7565)	Prec@1 32.031 (34.262)	Prec@5 67.188 (64.665)
Epoch: [20][8890/14090]	Time 0.779 (0.769)	Data 0.001 (0.001)	Loss 2.6104 (2.7564)	Prec@1 31.250 (34.264)	Prec@5 69.531 (64.666)
Epoch: [20][8900/14090]	Time 0.859 (0.769)	Data 0.001 (0.001)	Loss 2.4447 (2.7563)	Prec@1 41.406 (34.266)	Prec@5 71.875 (64.668)
Epoch: [20][8910/14090]	Time 0.739 (0.769)	Data 0.001 (0.001)	Loss 2.7529 (2.7563)	Prec@1 33.594 (34.268)	Prec@5 64.062 (64.666)
Epoch: [20][8920/14090]	Time 0.751 (0.769)	Data 0.001 (0.001)	Loss 2.8201 (2.7564)	Prec@1 28.906 (34.270)	Prec@5 59.375 (64.666)
Epoch: [20][8930/14090]	Time 0.730 (0.769)	Data 0.001 (0.001)	Loss 2.7532 (2.7563)	Prec@1 36.719 (34.271)	Prec@5 69.531 (64.668)
Epoch: [20][8940/14090]	Time 0.745 (0.769)	Data 0.001 (0.001)	Loss 2.8827 (2.7563)	Prec@1 30.469 (34.270)	Prec@5 60.938 (64.666)
Epoch: [20][8950/14090]	Time 0.735 (0.769)	Data 0.001 (0.001)	Loss 2.9760 (2.7565)	Prec@1 25.781 (34.267)	Prec@5 62.500 (64.664)
Epoch: [20][8960/14090]	Time 0.751 (0.769)	Data 0.001 (0.001)	Loss 3.0136 (2.7566)	Prec@1 31.250 (34.265)	Prec@5 60.156 (64.661)
Epoch: [20][8970/14090]	Time 0.915 (0.769)	Data 0.001 (0.001)	Loss 2.6117 (2.7564)	Prec@1 35.938 (34.266)	Prec@5 66.406 (64.662)
Epoch: [20][8980/14090]	Time 0.741 (0.769)	Data 0.001 (0.001)	Loss 2.6127 (2.7563)	Prec@1 32.812 (34.268)	Prec@5 67.969 (64.665)
Epoch: [20][8990/14090]	Time 0.756 (0.769)	Data 0.001 (0.001)	Loss 2.6884 (2.7563)	Prec@1 33.594 (34.269)	Prec@5 62.500 (64.665)
Epoch: [20][9000/14090]	Time 0.755 (0.769)	Data 0.001 (0.001)	Loss 3.0712 (2.7563)	Prec@1 34.375 (34.270)	Prec@5 62.500 (64.666)
Epoch: [20][9010/14090]	Time 0.730 (0.769)	Data 0.001 (0.001)	Loss 2.5855 (2.7563)	Prec@1 34.375 (34.269)	Prec@5 67.188 (64.665)
Epoch: [20][9020/14090]	Time 0.747 (0.769)	Data 0.001 (0.001)	Loss 2.8610 (2.7563)	Prec@1 28.906 (34.269)	Prec@5 64.062 (64.665)
Epoch: [20][9030/14090]	Time 0.745 (0.769)	Data 0.001 (0.001)	Loss 2.9537 (2.7563)	Prec@1 28.906 (34.267)	Prec@5 61.719 (64.664)
Epoch: [20][9040/14090]	Time 0.866 (0.769)	Data 0.001 (0.001)	Loss 2.7211 (2.7563)	Prec@1 31.250 (34.267)	Prec@5 67.969 (64.665)
Epoch: [20][9050/14090]	Time 0.726 (0.769)	Data 0.001 (0.001)	Loss 2.7641 (2.7564)	Prec@1 35.156 (34.265)	Prec@5 64.844 (64.666)
Epoch: [20][9060/14090]	Time 0.774 (0.769)	Data 0.001 (0.001)	Loss 2.8863 (2.7564)	Prec@1 38.281 (34.266)	Prec@5 60.156 (64.665)
Epoch: [20][9070/14090]	Time 0.733 (0.769)	Data 0.001 (0.001)	Loss 2.9488 (2.7565)	Prec@1 33.594 (34.263)	Prec@5 63.281 (64.662)
Epoch: [20][9080/14090]	Time 0.732 (0.769)	Data 0.001 (0.001)	Loss 2.9297 (2.7564)	Prec@1 28.906 (34.264)	Prec@5 60.938 (64.662)
Epoch: [20][9090/14090]	Time 0.762 (0.769)	Data 0.001 (0.001)	Loss 3.0077 (2.7564)	Prec@1 30.469 (34.267)	Prec@5 59.375 (64.661)
Epoch: [20][9100/14090]	Time 0.738 (0.769)	Data 0.001 (0.001)	Loss 2.7905 (2.7565)	Prec@1 28.125 (34.266)	Prec@5 60.156 (64.660)
Epoch: [20][9110/14090]	Time 0.814 (0.769)	Data 0.001 (0.001)	Loss 2.9554 (2.7565)	Prec@1 34.375 (34.264)	Prec@5 56.250 (64.658)
Epoch: [20][9120/14090]	Time 0.733 (0.769)	Data 0.001 (0.001)	Loss 2.9919 (2.7565)	Prec@1 28.906 (34.262)	Prec@5 60.156 (64.658)
Epoch: [20][9130/14090]	Time 0.742 (0.769)	Data 0.001 (0.001)	Loss 2.8646 (2.7565)	Prec@1 33.594 (34.263)	Prec@5 59.375 (64.659)
Epoch: [20][9140/14090]	Time 0.775 (0.769)	Data 0.001 (0.001)	Loss 2.6102 (2.7565)	Prec@1 32.812 (34.262)	Prec@5 65.625 (64.658)
Epoch: [20][9150/14090]	Time 0.724 (0.769)	Data 0.001 (0.001)	Loss 3.1148 (2.7566)	Prec@1 28.906 (34.259)	Prec@5 63.281 (64.656)
Epoch: [20][9160/14090]	Time 0.751 (0.769)	Data 0.001 (0.001)	Loss 2.9659 (2.7567)	Prec@1 36.719 (34.259)	Prec@5 59.375 (64.655)
Epoch: [20][9170/14090]	Time 0.743 (0.769)	Data 0.001 (0.001)	Loss 2.7451 (2.7567)	Prec@1 36.719 (34.258)	Prec@5 64.844 (64.654)
Epoch: [20][9180/14090]	Time 0.872 (0.769)	Data 0.001 (0.001)	Loss 2.6409 (2.7568)	Prec@1 37.500 (34.256)	Prec@5 71.094 (64.653)
Epoch: [20][9190/14090]	Time 0.759 (0.769)	Data 0.001 (0.001)	Loss 2.7050 (2.7569)	Prec@1 39.062 (34.256)	Prec@5 67.188 (64.652)
Epoch: [20][9200/14090]	Time 0.742 (0.769)	Data 0.001 (0.001)	Loss 3.1134 (2.7570)	Prec@1 25.781 (34.253)	Prec@5 55.469 (64.652)
Epoch: [20][9210/14090]	Time 0.751 (0.769)	Data 0.001 (0.001)	Loss 2.9586 (2.7569)	Prec@1 32.031 (34.254)	Prec@5 60.156 (64.654)
Epoch: [20][9220/14090]	Time 0.733 (0.769)	Data 0.001 (0.001)	Loss 2.6847 (2.7569)	Prec@1 37.500 (34.255)	Prec@5 64.062 (64.654)
Epoch: [20][9230/14090]	Time 0.741 (0.769)	Data 0.001 (0.001)	Loss 3.0304 (2.7568)	Prec@1 30.469 (34.256)	Prec@5 57.812 (64.656)
Epoch: [20][9240/14090]	Time 0.728 (0.769)	Data 0.001 (0.001)	Loss 2.5821 (2.7569)	Prec@1 34.375 (34.254)	Prec@5 64.844 (64.655)
Epoch: [20][9250/14090]	Time 0.845 (0.769)	Data 0.001 (0.001)	Loss 2.6692 (2.7568)	Prec@1 32.031 (34.256)	Prec@5 69.531 (64.658)
Epoch: [20][9260/14090]	Time 0.744 (0.769)	Data 0.001 (0.001)	Loss 2.7695 (2.7569)	Prec@1 36.719 (34.255)	Prec@5 64.844 (64.658)
Epoch: [20][9270/14090]	Time 0.771 (0.769)	Data 0.001 (0.001)	Loss 2.7163 (2.7568)	Prec@1 35.938 (34.256)	Prec@5 64.844 (64.660)
Epoch: [20][9280/14090]	Time 0.786 (0.769)	Data 0.001 (0.001)	Loss 2.9172 (2.7569)	Prec@1 34.375 (34.256)	Prec@5 60.156 (64.657)
Epoch: [20][9290/14090]	Time 0.729 (0.769)	Data 0.001 (0.001)	Loss 2.9057 (2.7569)	Prec@1 28.906 (34.256)	Prec@5 61.719 (64.657)
Epoch: [20][9300/14090]	Time 0.766 (0.769)	Data 0.001 (0.001)	Loss 2.6634 (2.7569)	Prec@1 36.719 (34.258)	Prec@5 67.969 (64.658)
Epoch: [20][9310/14090]	Time 0.750 (0.769)	Data 0.001 (0.001)	Loss 2.9302 (2.7569)	Prec@1 29.688 (34.257)	Prec@5 60.938 (64.657)
Epoch: [20][9320/14090]	Time 0.822 (0.769)	Data 0.001 (0.001)	Loss 2.7108 (2.7569)	Prec@1 34.375 (34.258)	Prec@5 62.500 (64.658)
Epoch: [20][9330/14090]	Time 0.729 (0.769)	Data 0.001 (0.001)	Loss 2.9489 (2.7569)	Prec@1 29.688 (34.259)	Prec@5 60.938 (64.657)
Epoch: [20][9340/14090]	Time 0.743 (0.769)	Data 0.001 (0.001)	Loss 2.6060 (2.7569)	Prec@1 32.031 (34.259)	Prec@5 65.625 (64.657)
Epoch: [20][9350/14090]	Time 0.749 (0.769)	Data 0.001 (0.001)	Loss 2.8658 (2.7569)	Prec@1 33.594 (34.262)	Prec@5 60.156 (64.657)
Epoch: [20][9360/14090]	Time 0.743 (0.769)	Data 0.001 (0.001)	Loss 2.7385 (2.7568)	Prec@1 39.062 (34.263)	Prec@5 63.281 (64.658)
Epoch: [20][9370/14090]	Time 0.737 (0.769)	Data 0.001 (0.001)	Loss 2.9179 (2.7568)	Prec@1 29.688 (34.263)	Prec@5 61.719 (64.658)
Epoch: [20][9380/14090]	Time 0.745 (0.769)	Data 0.001 (0.001)	Loss 2.8294 (2.7568)	Prec@1 33.594 (34.262)	Prec@5 60.938 (64.657)
Epoch: [20][9390/14090]	Time 0.851 (0.769)	Data 0.001 (0.001)	Loss 2.4451 (2.7568)	Prec@1 35.156 (34.261)	Prec@5 71.094 (64.656)
Epoch: [20][9400/14090]	Time 0.758 (0.769)	Data 0.001 (0.001)	Loss 3.0580 (2.7568)	Prec@1 27.344 (34.260)	Prec@5 64.062 (64.658)
Epoch: [20][9410/14090]	Time 0.747 (0.769)	Data 0.001 (0.001)	Loss 2.6577 (2.7568)	Prec@1 38.281 (34.259)	Prec@5 64.844 (64.657)
Epoch: [20][9420/14090]	Time 0.775 (0.769)	Data 0.001 (0.001)	Loss 2.9065 (2.7569)	Prec@1 28.125 (34.260)	Prec@5 61.719 (64.656)
Epoch: [20][9430/14090]	Time 0.772 (0.769)	Data 0.001 (0.001)	Loss 2.4327 (2.7569)	Prec@1 44.531 (34.261)	Prec@5 71.875 (64.657)
Epoch: [20][9440/14090]	Time 0.737 (0.769)	Data 0.001 (0.001)	Loss 2.5523 (2.7569)	Prec@1 41.406 (34.259)	Prec@5 68.750 (64.656)
Epoch: [20][9450/14090]	Time 0.740 (0.769)	Data 0.001 (0.001)	Loss 2.6739 (2.7568)	Prec@1 34.375 (34.261)	Prec@5 64.844 (64.657)
Epoch: [20][9460/14090]	Time 0.885 (0.769)	Data 0.001 (0.001)	Loss 2.8893 (2.7568)	Prec@1 36.719 (34.264)	Prec@5 61.719 (64.658)
Epoch: [20][9470/14090]	Time 0.740 (0.769)	Data 0.001 (0.001)	Loss 2.7230 (2.7568)	Prec@1 30.469 (34.266)	Prec@5 67.188 (64.658)
Epoch: [20][9480/14090]	Time 0.749 (0.769)	Data 0.001 (0.001)	Loss 2.9437 (2.7568)	Prec@1 23.438 (34.265)	Prec@5 64.062 (64.658)
Epoch: [20][9490/14090]	Time 0.746 (0.769)	Data 0.001 (0.001)	Loss 2.5800 (2.7568)	Prec@1 35.156 (34.265)	Prec@5 65.625 (64.659)
Epoch: [20][9500/14090]	Time 0.749 (0.769)	Data 0.001 (0.001)	Loss 2.7652 (2.7568)	Prec@1 36.719 (34.265)	Prec@5 65.625 (64.660)
Epoch: [20][9510/14090]	Time 0.761 (0.769)	Data 0.001 (0.001)	Loss 2.7465 (2.7569)	Prec@1 38.281 (34.264)	Prec@5 60.156 (64.658)
Epoch: [20][9520/14090]	Time 0.734 (0.769)	Data 0.001 (0.001)	Loss 2.9961 (2.7568)	Prec@1 29.688 (34.265)	Prec@5 56.250 (64.659)
Epoch: [20][9530/14090]	Time 0.919 (0.769)	Data 0.001 (0.001)	Loss 2.9427 (2.7568)	Prec@1 32.031 (34.265)	Prec@5 61.719 (64.659)
Epoch: [20][9540/14090]	Time 0.779 (0.769)	Data 0.001 (0.001)	Loss 2.9965 (2.7569)	Prec@1 33.594 (34.265)	Prec@5 61.719 (64.656)
Epoch: [20][9550/14090]	Time 0.737 (0.769)	Data 0.001 (0.001)	Loss 2.5509 (2.7568)	Prec@1 35.938 (34.266)	Prec@5 69.531 (64.658)
Epoch: [20][9560/14090]	Time 0.736 (0.769)	Data 0.001 (0.001)	Loss 2.7791 (2.7568)	Prec@1 34.375 (34.266)	Prec@5 66.406 (64.659)
Epoch: [20][9570/14090]	Time 0.777 (0.769)	Data 0.001 (0.001)	Loss 2.9532 (2.7569)	Prec@1 32.031 (34.265)	Prec@5 56.250 (64.658)
Epoch: [20][9580/14090]	Time 0.764 (0.769)	Data 0.001 (0.001)	Loss 2.5014 (2.7568)	Prec@1 36.719 (34.265)	Prec@5 69.531 (64.660)
Epoch: [20][9590/14090]	Time 0.742 (0.769)	Data 0.001 (0.001)	Loss 2.6029 (2.7568)	Prec@1 32.031 (34.266)	Prec@5 67.969 (64.662)
Epoch: [20][9600/14090]	Time 0.858 (0.769)	Data 0.001 (0.001)	Loss 2.6981 (2.7568)	Prec@1 32.031 (34.266)	Prec@5 69.531 (64.661)
Epoch: [20][9610/14090]	Time 0.737 (0.769)	Data 0.001 (0.001)	Loss 2.9404 (2.7568)	Prec@1 28.906 (34.266)	Prec@5 60.938 (64.664)
Epoch: [20][9620/14090]	Time 0.751 (0.768)	Data 0.001 (0.001)	Loss 2.6481 (2.7567)	Prec@1 36.719 (34.268)	Prec@5 67.188 (64.664)
Epoch: [20][9630/14090]	Time 0.755 (0.769)	Data 0.001 (0.001)	Loss 2.4802 (2.7567)	Prec@1 39.844 (34.268)	Prec@5 67.188 (64.665)
Epoch: [20][9640/14090]	Time 0.731 (0.769)	Data 0.001 (0.001)	Loss 2.6564 (2.7567)	Prec@1 32.031 (34.268)	Prec@5 67.188 (64.665)
Epoch: [20][9650/14090]	Time 0.764 (0.769)	Data 0.001 (0.001)	Loss 2.7743 (2.7568)	Prec@1 26.562 (34.266)	Prec@5 65.625 (64.665)
Epoch: [20][9660/14090]	Time 0.736 (0.769)	Data 0.001 (0.001)	Loss 2.9320 (2.7568)	Prec@1 32.031 (34.262)	Prec@5 64.062 (64.662)
Epoch: [20][9670/14090]	Time 0.861 (0.769)	Data 0.001 (0.001)	Loss 2.9668 (2.7569)	Prec@1 28.906 (34.262)	Prec@5 57.812 (64.663)
Epoch: [20][9680/14090]	Time 0.784 (0.769)	Data 0.001 (0.001)	Loss 3.0570 (2.7569)	Prec@1 27.344 (34.264)	Prec@5 60.156 (64.663)
Epoch: [20][9690/14090]	Time 0.778 (0.769)	Data 0.001 (0.001)	Loss 2.7571 (2.7568)	Prec@1 39.844 (34.265)	Prec@5 67.969 (64.666)
Epoch: [20][9700/14090]	Time 0.776 (0.769)	Data 0.001 (0.001)	Loss 2.4107 (2.7567)	Prec@1 35.156 (34.267)	Prec@5 75.781 (64.668)
Epoch: [20][9710/14090]	Time 0.770 (0.769)	Data 0.001 (0.001)	Loss 2.5887 (2.7567)	Prec@1 35.938 (34.268)	Prec@5 65.625 (64.668)
Epoch: [20][9720/14090]	Time 0.746 (0.769)	Data 0.001 (0.001)	Loss 2.9854 (2.7567)	Prec@1 27.344 (34.268)	Prec@5 60.156 (64.667)
Epoch: [20][9730/14090]	Time 0.733 (0.769)	Data 0.001 (0.001)	Loss 2.5465 (2.7568)	Prec@1 41.406 (34.268)	Prec@5 70.312 (64.667)
Epoch: [20][9740/14090]	Time 0.897 (0.769)	Data 0.001 (0.001)	Loss 3.0953 (2.7568)	Prec@1 28.906 (34.268)	Prec@5 62.500 (64.665)
Epoch: [20][9750/14090]	Time 0.745 (0.769)	Data 0.001 (0.001)	Loss 2.5969 (2.7568)	Prec@1 32.031 (34.266)	Prec@5 71.094 (64.665)
Epoch: [20][9760/14090]	Time 0.759 (0.768)	Data 0.001 (0.001)	Loss 2.6728 (2.7568)	Prec@1 32.031 (34.266)	Prec@5 69.531 (64.667)
Epoch: [20][9770/14090]	Time 0.752 (0.769)	Data 0.001 (0.001)	Loss 2.7655 (2.7568)	Prec@1 35.156 (34.266)	Prec@5 64.062 (64.666)
Epoch: [20][9780/14090]	Time 0.746 (0.768)	Data 0.001 (0.001)	Loss 2.2442 (2.7567)	Prec@1 43.750 (34.267)	Prec@5 73.438 (64.668)
Epoch: [20][9790/14090]	Time 0.761 (0.769)	Data 0.001 (0.001)	Loss 2.9517 (2.7568)	Prec@1 30.469 (34.265)	Prec@5 59.375 (64.665)
Epoch: [20][9800/14090]	Time 0.757 (0.769)	Data 0.001 (0.001)	Loss 2.7230 (2.7569)	Prec@1 33.594 (34.263)	Prec@5 64.062 (64.663)
Epoch: [20][9810/14090]	Time 0.898 (0.769)	Data 0.001 (0.001)	Loss 2.5979 (2.7570)	Prec@1 36.719 (34.262)	Prec@5 68.750 (64.661)
Epoch: [20][9820/14090]	Time 0.767 (0.769)	Data 0.001 (0.001)	Loss 2.7622 (2.7569)	Prec@1 31.250 (34.263)	Prec@5 64.844 (64.661)
Epoch: [20][9830/14090]	Time 0.730 (0.769)	Data 0.001 (0.001)	Loss 2.6618 (2.7569)	Prec@1 34.375 (34.265)	Prec@5 67.188 (64.662)
Epoch: [20][9840/14090]	Time 0.781 (0.769)	Data 0.001 (0.001)	Loss 2.5981 (2.7568)	Prec@1 38.281 (34.267)	Prec@5 65.625 (64.664)
Epoch: [20][9850/14090]	Time 0.779 (0.769)	Data 0.001 (0.001)	Loss 3.1719 (2.7568)	Prec@1 28.906 (34.269)	Prec@5 61.719 (64.665)
Epoch: [20][9860/14090]	Time 0.756 (0.769)	Data 0.001 (0.001)	Loss 2.6549 (2.7568)	Prec@1 32.812 (34.270)	Prec@5 66.406 (64.663)
Epoch: [20][9870/14090]	Time 0.726 (0.769)	Data 0.001 (0.001)	Loss 2.6720 (2.7568)	Prec@1 34.375 (34.269)	Prec@5 65.625 (64.664)
Epoch: [20][9880/14090]	Time 0.868 (0.769)	Data 0.001 (0.001)	Loss 2.9151 (2.7569)	Prec@1 32.031 (34.266)	Prec@5 64.844 (64.661)
Epoch: [20][9890/14090]	Time 0.743 (0.769)	Data 0.001 (0.001)	Loss 2.5471 (2.7569)	Prec@1 32.812 (34.266)	Prec@5 70.312 (64.662)
Epoch: [20][9900/14090]	Time 0.751 (0.769)	Data 0.001 (0.001)	Loss 2.8326 (2.7569)	Prec@1 32.812 (34.267)	Prec@5 59.375 (64.661)
Epoch: [20][9910/14090]	Time 0.758 (0.769)	Data 0.001 (0.001)	Loss 2.6753 (2.7569)	Prec@1 33.594 (34.267)	Prec@5 60.938 (64.661)
Epoch: [20][9920/14090]	Time 0.728 (0.769)	Data 0.001 (0.001)	Loss 2.7976 (2.7569)	Prec@1 37.500 (34.266)	Prec@5 63.281 (64.661)
Epoch: [20][9930/14090]	Time 0.750 (0.769)	Data 0.001 (0.001)	Loss 2.6542 (2.7569)	Prec@1 38.281 (34.267)	Prec@5 64.844 (64.660)
Epoch: [20][9940/14090]	Time 0.763 (0.769)	Data 0.001 (0.001)	Loss 2.6161 (2.7569)	Prec@1 32.812 (34.266)	Prec@5 66.406 (64.658)
Epoch: [20][9950/14090]	Time 0.901 (0.769)	Data 0.001 (0.001)	Loss 2.5788 (2.7568)	Prec@1 36.719 (34.266)	Prec@5 64.844 (64.658)
Epoch: [20][9960/14090]	Time 0.736 (0.769)	Data 0.001 (0.001)	Loss 2.7275 (2.7569)	Prec@1 35.938 (34.266)	Prec@5 68.750 (64.659)
Epoch: [20][9970/14090]	Time 0.757 (0.769)	Data 0.001 (0.001)	Loss 2.8586 (2.7569)	Prec@1 35.156 (34.265)	Prec@5 65.625 (64.661)
Epoch: [20][9980/14090]	Time 0.739 (0.769)	Data 0.001 (0.001)	Loss 2.4805 (2.7569)	Prec@1 39.844 (34.264)	Prec@5 69.531 (64.660)
Epoch: [20][9990/14090]	Time 0.725 (0.769)	Data 0.001 (0.001)	Loss 2.9405 (2.7569)	Prec@1 29.688 (34.264)	Prec@5 65.625 (64.660)
Epoch: [20][10000/14090]	Time 0.742 (0.769)	Data 0.001 (0.001)	Loss 2.5785 (2.7568)	Prec@1 38.281 (34.264)	Prec@5 65.625 (64.661)
Epoch: [20][10010/14090]	Time 0.776 (0.769)	Data 0.001 (0.001)	Loss 2.5901 (2.7569)	Prec@1 40.625 (34.262)	Prec@5 70.312 (64.661)
Epoch: [20][10020/14090]	Time 0.893 (0.769)	Data 0.001 (0.001)	Loss 2.7833 (2.7569)	Prec@1 27.344 (34.260)	Prec@5 66.406 (64.661)
Epoch: [20][10030/14090]	Time 0.734 (0.769)	Data 0.001 (0.001)	Loss 2.7717 (2.7569)	Prec@1 34.375 (34.260)	Prec@5 64.844 (64.660)
Epoch: [20][10040/14090]	Time 0.771 (0.769)	Data 0.001 (0.001)	Loss 2.9909 (2.7569)	Prec@1 32.812 (34.260)	Prec@5 57.812 (64.658)
Epoch: [20][10050/14090]	Time 0.787 (0.769)	Data 0.001 (0.001)	Loss 2.8659 (2.7570)	Prec@1 33.594 (34.260)	Prec@5 64.844 (64.659)
Epoch: [20][10060/14090]	Time 0.762 (0.769)	Data 0.001 (0.001)	Loss 2.4921 (2.7570)	Prec@1 38.281 (34.258)	Prec@5 73.438 (64.658)
Epoch: [20][10070/14090]	Time 0.758 (0.769)	Data 0.001 (0.001)	Loss 2.8074 (2.7569)	Prec@1 32.812 (34.259)	Prec@5 60.938 (64.660)
Epoch: [20][10080/14090]	Time 0.732 (0.769)	Data 0.001 (0.001)	Loss 2.9560 (2.7570)	Prec@1 32.812 (34.258)	Prec@5 62.500 (64.658)
Epoch: [20][10090/14090]	Time 0.862 (0.769)	Data 0.001 (0.001)	Loss 2.7781 (2.7572)	Prec@1 32.812 (34.256)	Prec@5 67.188 (64.655)
Epoch: [20][10100/14090]	Time 0.737 (0.769)	Data 0.001 (0.001)	Loss 2.7343 (2.7571)	Prec@1 35.156 (34.258)	Prec@5 68.750 (64.656)
Epoch: [20][10110/14090]	Time 0.746 (0.769)	Data 0.001 (0.001)	Loss 2.6375 (2.7570)	Prec@1 39.062 (34.259)	Prec@5 67.188 (64.658)
Epoch: [20][10120/14090]	Time 0.729 (0.769)	Data 0.001 (0.001)	Loss 2.9972 (2.7570)	Prec@1 25.781 (34.258)	Prec@5 58.594 (64.657)
Epoch: [20][10130/14090]	Time 0.751 (0.769)	Data 0.001 (0.001)	Loss 2.6109 (2.7571)	Prec@1 39.062 (34.257)	Prec@5 66.406 (64.656)
Epoch: [20][10140/14090]	Time 0.762 (0.769)	Data 0.001 (0.001)	Loss 2.6964 (2.7571)	Prec@1 31.250 (34.257)	Prec@5 68.750 (64.656)
Epoch: [20][10150/14090]	Time 0.734 (0.769)	Data 0.001 (0.001)	Loss 2.5688 (2.7571)	Prec@1 42.188 (34.257)	Prec@5 70.312 (64.656)
Epoch: [20][10160/14090]	Time 0.859 (0.769)	Data 0.001 (0.001)	Loss 2.6764 (2.7572)	Prec@1 38.281 (34.256)	Prec@5 64.844 (64.654)
Epoch: [20][10170/14090]	Time 0.734 (0.769)	Data 0.001 (0.001)	Loss 2.9244 (2.7572)	Prec@1 28.906 (34.256)	Prec@5 63.281 (64.654)
Epoch: [20][10180/14090]	Time 0.740 (0.769)	Data 0.001 (0.001)	Loss 2.7176 (2.7572)	Prec@1 35.156 (34.256)	Prec@5 69.531 (64.655)
Epoch: [20][10190/14090]	Time 0.785 (0.769)	Data 0.001 (0.001)	Loss 2.9753 (2.7573)	Prec@1 35.938 (34.254)	Prec@5 60.156 (64.655)
Epoch: [20][10200/14090]	Time 0.752 (0.769)	Data 0.001 (0.001)	Loss 2.7906 (2.7572)	Prec@1 34.375 (34.255)	Prec@5 63.281 (64.654)
Epoch: [20][10210/14090]	Time 0.779 (0.769)	Data 0.001 (0.001)	Loss 2.7572 (2.7572)	Prec@1 32.031 (34.255)	Prec@5 65.625 (64.656)
Epoch: [20][10220/14090]	Time 0.750 (0.769)	Data 0.001 (0.001)	Loss 2.8900 (2.7572)	Prec@1 32.031 (34.254)	Prec@5 58.594 (64.656)
Epoch: [20][10230/14090]	Time 0.860 (0.769)	Data 0.001 (0.001)	Loss 2.9029 (2.7572)	Prec@1 31.250 (34.254)	Prec@5 65.625 (64.656)
Epoch: [20][10240/14090]	Time 0.745 (0.769)	Data 0.001 (0.001)	Loss 2.6639 (2.7572)	Prec@1 35.156 (34.253)	Prec@5 70.312 (64.657)
Epoch: [20][10250/14090]	Time 0.730 (0.769)	Data 0.001 (0.001)	Loss 2.7602 (2.7572)	Prec@1 38.281 (34.254)	Prec@5 60.938 (64.656)
Epoch: [20][10260/14090]	Time 0.731 (0.769)	Data 0.001 (0.001)	Loss 2.7879 (2.7571)	Prec@1 33.594 (34.255)	Prec@5 65.625 (64.658)
Epoch: [20][10270/14090]	Time 0.744 (0.769)	Data 0.001 (0.001)	Loss 2.4586 (2.7571)	Prec@1 39.844 (34.256)	Prec@5 71.875 (64.658)
Epoch: [20][10280/14090]	Time 0.753 (0.769)	Data 0.001 (0.001)	Loss 2.7297 (2.7571)	Prec@1 36.719 (34.255)	Prec@5 67.188 (64.657)
Epoch: [20][10290/14090]	Time 0.735 (0.769)	Data 0.001 (0.001)	Loss 3.0060 (2.7572)	Prec@1 30.469 (34.255)	Prec@5 60.156 (64.655)
Epoch: [20][10300/14090]	Time 0.871 (0.769)	Data 0.001 (0.001)	Loss 2.8115 (2.7572)	Prec@1 35.938 (34.256)	Prec@5 60.156 (64.656)
Epoch: [20][10310/14090]	Time 0.733 (0.769)	Data 0.001 (0.001)	Loss 2.8082 (2.7572)	Prec@1 37.500 (34.259)	Prec@5 63.281 (64.656)
Epoch: [20][10320/14090]	Time 0.747 (0.769)	Data 0.001 (0.001)	Loss 3.0787 (2.7572)	Prec@1 32.812 (34.257)	Prec@5 61.719 (64.654)
Epoch: [20][10330/14090]	Time 0.747 (0.769)	Data 0.001 (0.001)	Loss 2.7194 (2.7572)	Prec@1 32.031 (34.257)	Prec@5 62.500 (64.655)
Epoch: [20][10340/14090]	Time 0.736 (0.769)	Data 0.001 (0.001)	Loss 2.6439 (2.7571)	Prec@1 34.375 (34.258)	Prec@5 64.844 (64.655)
Epoch: [20][10350/14090]	Time 0.723 (0.769)	Data 0.001 (0.001)	Loss 2.8465 (2.7571)	Prec@1 34.375 (34.259)	Prec@5 57.812 (64.657)
Epoch: [20][10360/14090]	Time 0.779 (0.769)	Data 0.001 (0.001)	Loss 2.6239 (2.7572)	Prec@1 35.938 (34.257)	Prec@5 68.750 (64.656)
Epoch: [20][10370/14090]	Time 0.863 (0.769)	Data 0.001 (0.001)	Loss 2.6195 (2.7572)	Prec@1 37.500 (34.256)	Prec@5 68.750 (64.655)
Epoch: [20][10380/14090]	Time 0.735 (0.769)	Data 0.001 (0.001)	Loss 2.6919 (2.7572)	Prec@1 38.281 (34.256)	Prec@5 64.844 (64.655)
Epoch: [20][10390/14090]	Time 0.732 (0.769)	Data 0.001 (0.001)	Loss 2.7709 (2.7572)	Prec@1 32.031 (34.257)	Prec@5 64.844 (64.655)
Epoch: [20][10400/14090]	Time 0.734 (0.769)	Data 0.001 (0.001)	Loss 2.9607 (2.7572)	Prec@1 32.031 (34.256)	Prec@5 57.812 (64.656)
Epoch: [20][10410/14090]	Time 0.760 (0.769)	Data 0.001 (0.001)	Loss 2.6939 (2.7571)	Prec@1 35.156 (34.258)	Prec@5 67.969 (64.657)
Epoch: [20][10420/14090]	Time 0.743 (0.769)	Data 0.001 (0.001)	Loss 2.8651 (2.7571)	Prec@1 39.062 (34.260)	Prec@5 64.062 (64.658)
Epoch: [20][10430/14090]	Time 0.773 (0.769)	Data 0.001 (0.001)	Loss 2.9662 (2.7571)	Prec@1 31.250 (34.262)	Prec@5 57.031 (64.659)
Epoch: [20][10440/14090]	Time 0.873 (0.769)	Data 0.001 (0.001)	Loss 2.9670 (2.7571)	Prec@1 32.031 (34.262)	Prec@5 56.250 (64.656)
Epoch: [20][10450/14090]	Time 0.746 (0.769)	Data 0.001 (0.001)	Loss 3.0400 (2.7572)	Prec@1 25.000 (34.262)	Prec@5 57.812 (64.654)
Epoch: [20][10460/14090]	Time 0.745 (0.769)	Data 0.001 (0.001)	Loss 2.9488 (2.7572)	Prec@1 28.125 (34.261)	Prec@5 62.500 (64.656)
Epoch: [20][10470/14090]	Time 0.746 (0.769)	Data 0.001 (0.001)	Loss 2.9382 (2.7573)	Prec@1 28.906 (34.260)	Prec@5 57.812 (64.656)
Epoch: [20][10480/14090]	Time 0.763 (0.769)	Data 0.001 (0.001)	Loss 2.6085 (2.7572)	Prec@1 45.312 (34.261)	Prec@5 65.625 (64.655)
Epoch: [20][10490/14090]	Time 0.759 (0.769)	Data 0.001 (0.001)	Loss 2.7593 (2.7572)	Prec@1 35.156 (34.261)	Prec@5 62.500 (64.656)
Epoch: [20][10500/14090]	Time 0.736 (0.769)	Data 0.001 (0.001)	Loss 2.7752 (2.7572)	Prec@1 33.594 (34.260)	Prec@5 64.062 (64.657)
Epoch: [20][10510/14090]	Time 0.845 (0.769)	Data 0.001 (0.001)	Loss 2.7986 (2.7572)	Prec@1 32.031 (34.259)	Prec@5 67.969 (64.659)
Epoch: [20][10520/14090]	Time 0.753 (0.769)	Data 0.001 (0.001)	Loss 2.6570 (2.7571)	Prec@1 35.938 (34.260)	Prec@5 67.188 (64.661)
Epoch: [20][10530/14090]	Time 0.763 (0.769)	Data 0.001 (0.001)	Loss 2.9129 (2.7572)	Prec@1 35.156 (34.259)	Prec@5 60.156 (64.659)
Epoch: [20][10540/14090]	Time 0.755 (0.769)	Data 0.001 (0.001)	Loss 2.7668 (2.7572)	Prec@1 35.156 (34.258)	Prec@5 61.719 (64.658)
Epoch: [20][10550/14090]	Time 0.750 (0.769)	Data 0.001 (0.001)	Loss 2.6991 (2.7572)	Prec@1 35.938 (34.258)	Prec@5 64.062 (64.658)
Epoch: [20][10560/14090]	Time 0.731 (0.769)	Data 0.001 (0.001)	Loss 2.9507 (2.7572)	Prec@1 27.344 (34.257)	Prec@5 59.375 (64.656)
Epoch: [20][10570/14090]	Time 0.748 (0.769)	Data 0.001 (0.001)	Loss 2.4622 (2.7571)	Prec@1 40.625 (34.258)	Prec@5 64.844 (64.658)
Epoch: [20][10580/14090]	Time 0.825 (0.769)	Data 0.001 (0.001)	Loss 2.6092 (2.7572)	Prec@1 39.062 (34.258)	Prec@5 65.625 (64.657)
Epoch: [20][10590/14090]	Time 0.769 (0.769)	Data 0.001 (0.001)	Loss 2.7084 (2.7572)	Prec@1 34.375 (34.257)	Prec@5 68.750 (64.656)
Epoch: [20][10600/14090]	Time 0.778 (0.769)	Data 0.001 (0.001)	Loss 2.8213 (2.7572)	Prec@1 34.375 (34.258)	Prec@5 67.188 (64.657)
Epoch: [20][10610/14090]	Time 0.741 (0.769)	Data 0.001 (0.001)	Loss 2.7761 (2.7573)	Prec@1 32.031 (34.258)	Prec@5 65.625 (64.656)
Epoch: [20][10620/14090]	Time 0.785 (0.769)	Data 0.001 (0.001)	Loss 2.8485 (2.7573)	Prec@1 32.031 (34.258)	Prec@5 61.719 (64.655)
Epoch: [20][10630/14090]	Time 0.754 (0.769)	Data 0.001 (0.001)	Loss 2.5704 (2.7573)	Prec@1 33.594 (34.258)	Prec@5 68.750 (64.655)
Epoch: [20][10640/14090]	Time 0.744 (0.769)	Data 0.001 (0.001)	Loss 2.8921 (2.7574)	Prec@1 30.469 (34.255)	Prec@5 65.625 (64.652)
Epoch: [20][10650/14090]	Time 0.902 (0.769)	Data 0.002 (0.001)	Loss 2.4485 (2.7575)	Prec@1 40.625 (34.254)	Prec@5 71.094 (64.652)
Epoch: [20][10660/14090]	Time 0.736 (0.769)	Data 0.001 (0.001)	Loss 2.7296 (2.7574)	Prec@1 32.812 (34.256)	Prec@5 64.844 (64.655)
Epoch: [20][10670/14090]	Time 0.778 (0.769)	Data 0.001 (0.001)	Loss 2.7144 (2.7573)	Prec@1 35.938 (34.259)	Prec@5 69.531 (64.659)
Epoch: [20][10680/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 2.5614 (2.7572)	Prec@1 36.719 (34.258)	Prec@5 65.625 (64.658)
Epoch: [20][10690/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 2.7263 (2.7573)	Prec@1 32.031 (34.257)	Prec@5 63.281 (64.659)
Epoch: [20][10700/14090]	Time 0.756 (0.768)	Data 0.001 (0.001)	Loss 2.8693 (2.7574)	Prec@1 32.812 (34.255)	Prec@5 61.719 (64.657)
Epoch: [20][10710/14090]	Time 0.777 (0.768)	Data 0.001 (0.001)	Loss 2.7241 (2.7574)	Prec@1 33.594 (34.253)	Prec@5 67.188 (64.656)
Epoch: [20][10720/14090]	Time 0.868 (0.768)	Data 0.001 (0.001)	Loss 2.4480 (2.7574)	Prec@1 40.625 (34.253)	Prec@5 67.188 (64.656)
Epoch: [20][10730/14090]	Time 0.754 (0.768)	Data 0.001 (0.001)	Loss 2.4935 (2.7574)	Prec@1 35.156 (34.255)	Prec@5 73.438 (64.658)
Epoch: [20][10740/14090]	Time 0.743 (0.768)	Data 0.001 (0.001)	Loss 2.9944 (2.7575)	Prec@1 28.125 (34.253)	Prec@5 62.500 (64.657)
Epoch: [20][10750/14090]	Time 0.780 (0.768)	Data 0.001 (0.001)	Loss 3.0660 (2.7576)	Prec@1 32.031 (34.251)	Prec@5 59.375 (64.654)
Epoch: [20][10760/14090]	Time 0.760 (0.768)	Data 0.001 (0.001)	Loss 2.6559 (2.7577)	Prec@1 37.500 (34.251)	Prec@5 70.312 (64.654)
Epoch: [20][10770/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 2.7708 (2.7576)	Prec@1 35.938 (34.253)	Prec@5 68.750 (64.656)
Epoch: [20][10780/14090]	Time 0.780 (0.768)	Data 0.001 (0.001)	Loss 2.5564 (2.7575)	Prec@1 38.281 (34.254)	Prec@5 71.094 (64.659)
Epoch: [20][10790/14090]	Time 0.846 (0.768)	Data 0.001 (0.001)	Loss 3.0709 (2.7575)	Prec@1 24.219 (34.254)	Prec@5 60.938 (64.659)
Epoch: [20][10800/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 2.6889 (2.7575)	Prec@1 33.594 (34.253)	Prec@5 64.062 (64.659)
Epoch: [20][10810/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 2.5145 (2.7574)	Prec@1 39.844 (34.255)	Prec@5 70.312 (64.661)
Epoch: [20][10820/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 3.0060 (2.7574)	Prec@1 24.219 (34.254)	Prec@5 57.812 (64.660)
Epoch: [20][10830/14090]	Time 0.721 (0.768)	Data 0.001 (0.001)	Loss 2.7150 (2.7574)	Prec@1 32.812 (34.253)	Prec@5 62.500 (64.660)
Epoch: [20][10840/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 2.9714 (2.7574)	Prec@1 25.781 (34.252)	Prec@5 56.250 (64.658)
Epoch: [20][10850/14090]	Time 0.776 (0.768)	Data 0.002 (0.001)	Loss 2.9745 (2.7575)	Prec@1 35.938 (34.253)	Prec@5 60.156 (64.657)
Epoch: [20][10860/14090]	Time 0.854 (0.768)	Data 0.001 (0.001)	Loss 2.9133 (2.7575)	Prec@1 28.125 (34.253)	Prec@5 62.500 (64.659)
Epoch: [20][10870/14090]	Time 0.774 (0.768)	Data 0.001 (0.001)	Loss 2.6275 (2.7575)	Prec@1 38.281 (34.253)	Prec@5 67.188 (64.659)
Epoch: [20][10880/14090]	Time 0.746 (0.768)	Data 0.001 (0.001)	Loss 2.8115 (2.7574)	Prec@1 34.375 (34.255)	Prec@5 57.812 (64.658)
Epoch: [20][10890/14090]	Time 0.747 (0.768)	Data 0.001 (0.001)	Loss 3.0475 (2.7575)	Prec@1 32.812 (34.254)	Prec@5 59.375 (64.658)
Epoch: [20][10900/14090]	Time 0.754 (0.768)	Data 0.001 (0.001)	Loss 3.0143 (2.7574)	Prec@1 28.906 (34.255)	Prec@5 60.156 (64.660)
Epoch: [20][10910/14090]	Time 0.758 (0.768)	Data 0.001 (0.001)	Loss 2.7624 (2.7574)	Prec@1 28.125 (34.254)	Prec@5 67.969 (64.660)
Epoch: [20][10920/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 2.4605 (2.7574)	Prec@1 34.375 (34.254)	Prec@5 70.312 (64.659)
Epoch: [20][10930/14090]	Time 0.899 (0.768)	Data 0.001 (0.001)	Loss 2.7323 (2.7574)	Prec@1 30.469 (34.254)	Prec@5 64.062 (64.659)
Epoch: [20][10940/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 3.0443 (2.7574)	Prec@1 28.125 (34.254)	Prec@5 61.719 (64.658)
Epoch: [20][10950/14090]	Time 0.735 (0.768)	Data 0.001 (0.001)	Loss 2.7527 (2.7574)	Prec@1 33.594 (34.254)	Prec@5 63.281 (64.658)
Epoch: [20][10960/14090]	Time 0.768 (0.768)	Data 0.001 (0.001)	Loss 2.8863 (2.7574)	Prec@1 32.812 (34.254)	Prec@5 63.281 (64.657)
Epoch: [20][10970/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 2.5190 (2.7574)	Prec@1 34.375 (34.255)	Prec@5 70.312 (64.659)
Epoch: [20][10980/14090]	Time 0.759 (0.768)	Data 0.001 (0.001)	Loss 2.7476 (2.7574)	Prec@1 35.156 (34.254)	Prec@5 65.625 (64.658)
Epoch: [20][10990/14090]	Time 0.781 (0.768)	Data 0.001 (0.001)	Loss 2.7003 (2.7575)	Prec@1 36.719 (34.254)	Prec@5 64.844 (64.657)
Epoch: [20][11000/14090]	Time 0.873 (0.768)	Data 0.001 (0.001)	Loss 3.1488 (2.7575)	Prec@1 30.469 (34.252)	Prec@5 55.469 (64.657)
Epoch: [20][11010/14090]	Time 0.752 (0.768)	Data 0.001 (0.001)	Loss 2.9263 (2.7576)	Prec@1 28.125 (34.250)	Prec@5 57.812 (64.655)
Epoch: [20][11020/14090]	Time 0.745 (0.768)	Data 0.001 (0.001)	Loss 2.7339 (2.7577)	Prec@1 35.156 (34.249)	Prec@5 68.750 (64.654)
Epoch: [20][11030/14090]	Time 0.742 (0.768)	Data 0.001 (0.001)	Loss 2.7979 (2.7577)	Prec@1 37.500 (34.250)	Prec@5 64.062 (64.653)
Epoch: [20][11040/14090]	Time 0.752 (0.768)	Data 0.001 (0.001)	Loss 2.6967 (2.7577)	Prec@1 33.594 (34.250)	Prec@5 65.625 (64.654)
Epoch: [20][11050/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 2.4845 (2.7577)	Prec@1 35.938 (34.250)	Prec@5 71.875 (64.654)
Epoch: [20][11060/14090]	Time 0.770 (0.768)	Data 0.001 (0.001)	Loss 3.1379 (2.7577)	Prec@1 30.469 (34.246)	Prec@5 60.156 (64.652)
Epoch: [20][11070/14090]	Time 0.871 (0.768)	Data 0.001 (0.001)	Loss 2.8626 (2.7577)	Prec@1 38.281 (34.248)	Prec@5 63.281 (64.653)
Epoch: [20][11080/14090]	Time 0.741 (0.768)	Data 0.001 (0.001)	Loss 2.7932 (2.7576)	Prec@1 34.375 (34.248)	Prec@5 64.844 (64.654)
Epoch: [20][11090/14090]	Time 0.781 (0.768)	Data 0.001 (0.001)	Loss 2.6524 (2.7576)	Prec@1 32.812 (34.249)	Prec@5 68.750 (64.655)
Epoch: [20][11100/14090]	Time 0.728 (0.768)	Data 0.001 (0.001)	Loss 2.5755 (2.7576)	Prec@1 37.500 (34.248)	Prec@5 71.094 (64.655)
Epoch: [20][11110/14090]	Time 0.792 (0.768)	Data 0.001 (0.001)	Loss 2.7542 (2.7576)	Prec@1 31.250 (34.248)	Prec@5 64.062 (64.656)
Epoch: [20][11120/14090]	Time 0.732 (0.768)	Data 0.001 (0.001)	Loss 2.9415 (2.7576)	Prec@1 31.250 (34.250)	Prec@5 64.844 (64.658)
Epoch: [20][11130/14090]	Time 0.748 (0.768)	Data 0.001 (0.001)	Loss 2.8301 (2.7576)	Prec@1 33.594 (34.248)	Prec@5 63.281 (64.658)
Epoch: [20][11140/14090]	Time 0.848 (0.768)	Data 0.001 (0.001)	Loss 2.4645 (2.7577)	Prec@1 39.062 (34.248)	Prec@5 68.750 (64.657)
Epoch: [20][11150/14090]	Time 0.737 (0.768)	Data 0.001 (0.001)	Loss 2.5533 (2.7577)	Prec@1 37.500 (34.247)	Prec@5 65.625 (64.657)
Epoch: [20][11160/14090]	Time 0.757 (0.768)	Data 0.001 (0.001)	Loss 2.7614 (2.7576)	Prec@1 28.906 (34.247)	Prec@5 64.844 (64.658)
Epoch: [20][11170/14090]	Time 0.771 (0.768)	Data 0.001 (0.001)	Loss 2.6602 (2.7576)	Prec@1 32.031 (34.248)	Prec@5 64.062 (64.659)
Epoch: [20][11180/14090]	Time 0.735 (0.768)	Data 0.001 (0.001)	Loss 2.8002 (2.7576)	Prec@1 29.688 (34.247)	Prec@5 65.625 (64.660)
Epoch: [20][11190/14090]	Time 0.758 (0.768)	Data 0.001 (0.001)	Loss 2.4827 (2.7576)	Prec@1 36.719 (34.247)	Prec@5 69.531 (64.659)
Epoch: [20][11200/14090]	Time 0.754 (0.768)	Data 0.001 (0.001)	Loss 2.5546 (2.7575)	Prec@1 42.188 (34.249)	Prec@5 67.188 (64.658)
Epoch: [20][11210/14090]	Time 0.862 (0.768)	Data 0.001 (0.001)	Loss 2.9760 (2.7576)	Prec@1 25.000 (34.248)	Prec@5 55.469 (64.657)
Epoch: [20][11220/14090]	Time 0.752 (0.768)	Data 0.001 (0.001)	Loss 2.3748 (2.7575)	Prec@1 42.188 (34.248)	Prec@5 69.531 (64.658)
Epoch: [20][11230/14090]	Time 0.730 (0.768)	Data 0.001 (0.001)	Loss 2.6829 (2.7575)	Prec@1 35.156 (34.248)	Prec@5 68.750 (64.658)
Epoch: [20][11240/14090]	Time 0.759 (0.768)	Data 0.001 (0.001)	Loss 2.7174 (2.7574)	Prec@1 37.500 (34.249)	Prec@5 67.969 (64.659)
Epoch: [20][11250/14090]	Time 0.760 (0.768)	Data 0.001 (0.001)	Loss 3.1851 (2.7575)	Prec@1 25.000 (34.247)	Prec@5 55.469 (64.657)
Epoch: [20][11260/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 2.7353 (2.7576)	Prec@1 36.719 (34.246)	Prec@5 65.625 (64.656)
Epoch: [20][11270/14090]	Time 0.733 (0.768)	Data 0.001 (0.001)	Loss 2.8576 (2.7576)	Prec@1 31.250 (34.245)	Prec@5 61.719 (64.657)
Epoch: [20][11280/14090]	Time 0.879 (0.768)	Data 0.001 (0.001)	Loss 2.8001 (2.7575)	Prec@1 36.719 (34.246)	Prec@5 66.406 (64.658)
Epoch: [20][11290/14090]	Time 0.778 (0.768)	Data 0.001 (0.001)	Loss 2.6451 (2.7575)	Prec@1 33.594 (34.248)	Prec@5 71.875 (64.658)
Epoch: [20][11300/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 2.7735 (2.7575)	Prec@1 32.812 (34.246)	Prec@5 64.062 (64.658)
Epoch: [20][11310/14090]	Time 0.741 (0.768)	Data 0.001 (0.001)	Loss 2.6430 (2.7575)	Prec@1 37.500 (34.248)	Prec@5 62.500 (64.658)
Epoch: [20][11320/14090]	Time 0.730 (0.768)	Data 0.001 (0.001)	Loss 2.9011 (2.7576)	Prec@1 35.156 (34.246)	Prec@5 58.594 (64.655)
Epoch: [20][11330/14090]	Time 0.762 (0.768)	Data 0.001 (0.001)	Loss 2.9147 (2.7576)	Prec@1 26.562 (34.245)	Prec@5 60.938 (64.655)
Epoch: [20][11340/14090]	Time 0.758 (0.768)	Data 0.001 (0.001)	Loss 2.7796 (2.7576)	Prec@1 32.812 (34.243)	Prec@5 66.406 (64.654)
Epoch: [20][11350/14090]	Time 0.847 (0.768)	Data 0.001 (0.001)	Loss 3.1558 (2.7577)	Prec@1 28.125 (34.241)	Prec@5 52.344 (64.653)
Epoch: [20][11360/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 2.9716 (2.7578)	Prec@1 26.562 (34.240)	Prec@5 59.375 (64.653)
Epoch: [20][11370/14090]	Time 0.763 (0.768)	Data 0.001 (0.001)	Loss 2.8851 (2.7578)	Prec@1 33.594 (34.239)	Prec@5 60.156 (64.652)
Epoch: [20][11380/14090]	Time 0.735 (0.768)	Data 0.001 (0.001)	Loss 2.8389 (2.7579)	Prec@1 31.250 (34.239)	Prec@5 64.844 (64.650)
Epoch: [20][11390/14090]	Time 0.730 (0.768)	Data 0.001 (0.001)	Loss 2.7754 (2.7578)	Prec@1 34.375 (34.239)	Prec@5 64.062 (64.651)
Epoch: [20][11400/14090]	Time 0.733 (0.768)	Data 0.001 (0.001)	Loss 2.7561 (2.7579)	Prec@1 36.719 (34.240)	Prec@5 63.281 (64.650)
Epoch: [20][11410/14090]	Time 0.735 (0.768)	Data 0.001 (0.001)	Loss 2.5223 (2.7579)	Prec@1 33.594 (34.240)	Prec@5 67.969 (64.652)
Epoch: [20][11420/14090]	Time 0.863 (0.768)	Data 0.001 (0.001)	Loss 2.8637 (2.7579)	Prec@1 28.906 (34.240)	Prec@5 64.844 (64.652)
Epoch: [20][11430/14090]	Time 0.757 (0.768)	Data 0.001 (0.001)	Loss 2.9347 (2.7579)	Prec@1 33.594 (34.241)	Prec@5 62.500 (64.652)
Epoch: [20][11440/14090]	Time 0.744 (0.768)	Data 0.001 (0.001)	Loss 2.5800 (2.7578)	Prec@1 34.375 (34.243)	Prec@5 64.844 (64.653)
Epoch: [20][11450/14090]	Time 0.737 (0.768)	Data 0.001 (0.001)	Loss 2.5913 (2.7579)	Prec@1 40.625 (34.244)	Prec@5 71.875 (64.652)
Epoch: [20][11460/14090]	Time 0.728 (0.768)	Data 0.001 (0.001)	Loss 2.7422 (2.7578)	Prec@1 36.719 (34.247)	Prec@5 64.062 (64.653)
Epoch: [20][11470/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 2.5553 (2.7578)	Prec@1 35.938 (34.245)	Prec@5 69.531 (64.653)
Epoch: [20][11480/14090]	Time 0.752 (0.768)	Data 0.001 (0.001)	Loss 2.5865 (2.7578)	Prec@1 39.844 (34.247)	Prec@5 67.188 (64.654)
Epoch: [20][11490/14090]	Time 0.864 (0.768)	Data 0.001 (0.001)	Loss 2.7070 (2.7578)	Prec@1 32.031 (34.247)	Prec@5 65.625 (64.653)
Epoch: [20][11500/14090]	Time 0.742 (0.768)	Data 0.001 (0.001)	Loss 2.5989 (2.7579)	Prec@1 33.594 (34.247)	Prec@5 67.188 (64.651)
Epoch: [20][11510/14090]	Time 0.737 (0.768)	Data 0.001 (0.001)	Loss 3.0057 (2.7579)	Prec@1 29.688 (34.247)	Prec@5 58.594 (64.650)
Epoch: [20][11520/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 2.7089 (2.7579)	Prec@1 35.156 (34.247)	Prec@5 67.969 (64.649)
Epoch: [20][11530/14090]	Time 0.776 (0.768)	Data 0.001 (0.001)	Loss 2.6130 (2.7579)	Prec@1 38.281 (34.248)	Prec@5 64.844 (64.652)
Epoch: [20][11540/14090]	Time 0.740 (0.768)	Data 0.001 (0.001)	Loss 2.8902 (2.7580)	Prec@1 39.844 (34.247)	Prec@5 60.156 (64.649)
Epoch: [20][11550/14090]	Time 0.761 (0.768)	Data 0.001 (0.001)	Loss 2.9514 (2.7580)	Prec@1 30.469 (34.248)	Prec@5 59.375 (64.648)
Epoch: [20][11560/14090]	Time 0.847 (0.768)	Data 0.001 (0.001)	Loss 2.5195 (2.7580)	Prec@1 39.844 (34.248)	Prec@5 70.312 (64.648)
Epoch: [20][11570/14090]	Time 0.763 (0.768)	Data 0.001 (0.001)	Loss 2.5644 (2.7580)	Prec@1 41.406 (34.249)	Prec@5 63.281 (64.647)
Epoch: [20][11580/14090]	Time 0.757 (0.768)	Data 0.001 (0.001)	Loss 2.5635 (2.7580)	Prec@1 37.500 (34.250)	Prec@5 67.188 (64.646)
Epoch: [20][11590/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 2.6437 (2.7580)	Prec@1 41.406 (34.249)	Prec@5 66.406 (64.646)
Epoch: [20][11600/14090]	Time 0.743 (0.768)	Data 0.001 (0.001)	Loss 2.5936 (2.7580)	Prec@1 34.375 (34.249)	Prec@5 62.500 (64.646)
Epoch: [20][11610/14090]	Time 0.724 (0.768)	Data 0.001 (0.001)	Loss 3.0955 (2.7580)	Prec@1 28.125 (34.248)	Prec@5 56.250 (64.646)
Epoch: [20][11620/14090]	Time 0.737 (0.768)	Data 0.001 (0.001)	Loss 2.8212 (2.7580)	Prec@1 30.469 (34.248)	Prec@5 60.938 (64.646)
Epoch: [20][11630/14090]	Time 0.929 (0.768)	Data 0.001 (0.001)	Loss 2.7725 (2.7580)	Prec@1 30.469 (34.249)	Prec@5 69.531 (64.648)
Epoch: [20][11640/14090]	Time 0.791 (0.768)	Data 0.001 (0.001)	Loss 2.7933 (2.7579)	Prec@1 31.250 (34.249)	Prec@5 65.625 (64.649)
Epoch: [20][11650/14090]	Time 0.732 (0.768)	Data 0.001 (0.001)	Loss 2.5164 (2.7579)	Prec@1 34.375 (34.248)	Prec@5 74.219 (64.648)
Epoch: [20][11660/14090]	Time 0.763 (0.768)	Data 0.001 (0.001)	Loss 2.7140 (2.7579)	Prec@1 33.594 (34.249)	Prec@5 62.500 (64.648)
Epoch: [20][11670/14090]	Time 0.757 (0.768)	Data 0.001 (0.001)	Loss 2.9285 (2.7579)	Prec@1 30.469 (34.248)	Prec@5 63.281 (64.648)
Epoch: [20][11680/14090]	Time 0.740 (0.768)	Data 0.001 (0.001)	Loss 2.7476 (2.7579)	Prec@1 34.375 (34.248)	Prec@5 61.719 (64.647)
Epoch: [20][11690/14090]	Time 0.722 (0.768)	Data 0.001 (0.001)	Loss 2.7223 (2.7579)	Prec@1 38.281 (34.247)	Prec@5 59.375 (64.646)
Epoch: [20][11700/14090]	Time 0.879 (0.768)	Data 0.001 (0.001)	Loss 2.8412 (2.7579)	Prec@1 35.938 (34.246)	Prec@5 64.062 (64.647)
Epoch: [20][11710/14090]	Time 0.742 (0.768)	Data 0.001 (0.001)	Loss 2.4716 (2.7579)	Prec@1 35.156 (34.246)	Prec@5 71.094 (64.647)
Epoch: [20][11720/14090]	Time 0.785 (0.768)	Data 0.001 (0.001)	Loss 2.5046 (2.7579)	Prec@1 36.719 (34.246)	Prec@5 67.188 (64.646)
Epoch: [20][11730/14090]	Time 0.729 (0.768)	Data 0.001 (0.001)	Loss 2.7242 (2.7579)	Prec@1 35.938 (34.245)	Prec@5 63.281 (64.645)
Epoch: [20][11740/14090]	Time 0.735 (0.768)	Data 0.001 (0.001)	Loss 2.5754 (2.7579)	Prec@1 39.062 (34.248)	Prec@5 72.656 (64.646)
Epoch: [20][11750/14090]	Time 0.733 (0.768)	Data 0.001 (0.001)	Loss 2.7491 (2.7579)	Prec@1 34.375 (34.246)	Prec@5 66.406 (64.645)
Epoch: [20][11760/14090]	Time 0.754 (0.768)	Data 0.001 (0.001)	Loss 2.6280 (2.7579)	Prec@1 42.188 (34.246)	Prec@5 67.188 (64.645)
Epoch: [20][11770/14090]	Time 0.888 (0.768)	Data 0.001 (0.001)	Loss 2.8573 (2.7580)	Prec@1 33.594 (34.245)	Prec@5 60.938 (64.644)
Epoch: [20][11780/14090]	Time 0.732 (0.768)	Data 0.001 (0.001)	Loss 2.7167 (2.7580)	Prec@1 33.594 (34.245)	Prec@5 67.969 (64.645)
Epoch: [20][11790/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 2.7904 (2.7579)	Prec@1 33.594 (34.246)	Prec@5 65.625 (64.647)
Epoch: [20][11800/14090]	Time 0.787 (0.768)	Data 0.001 (0.001)	Loss 2.7283 (2.7579)	Prec@1 28.125 (34.246)	Prec@5 69.531 (64.645)
Epoch: [20][11810/14090]	Time 0.757 (0.768)	Data 0.001 (0.001)	Loss 2.5313 (2.7579)	Prec@1 35.938 (34.247)	Prec@5 67.188 (64.646)
Epoch: [20][11820/14090]	Time 0.755 (0.768)	Data 0.001 (0.001)	Loss 3.0385 (2.7580)	Prec@1 22.656 (34.246)	Prec@5 58.594 (64.645)
Epoch: [20][11830/14090]	Time 0.759 (0.768)	Data 0.001 (0.001)	Loss 2.5922 (2.7580)	Prec@1 39.062 (34.244)	Prec@5 68.750 (64.644)
Epoch: [20][11840/14090]	Time 0.871 (0.768)	Data 0.001 (0.001)	Loss 3.1079 (2.7580)	Prec@1 25.000 (34.245)	Prec@5 54.688 (64.643)
Epoch: [20][11850/14090]	Time 0.746 (0.768)	Data 0.001 (0.001)	Loss 2.3970 (2.7579)	Prec@1 36.719 (34.246)	Prec@5 73.438 (64.645)
Epoch: [20][11860/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 2.8003 (2.7580)	Prec@1 35.156 (34.245)	Prec@5 62.500 (64.642)
Epoch: [20][11870/14090]	Time 0.754 (0.768)	Data 0.001 (0.001)	Loss 2.6925 (2.7580)	Prec@1 42.969 (34.244)	Prec@5 64.062 (64.642)
Epoch: [20][11880/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 2.4587 (2.7580)	Prec@1 37.500 (34.245)	Prec@5 73.438 (64.644)
Epoch: [20][11890/14090]	Time 0.768 (0.768)	Data 0.001 (0.001)	Loss 2.7397 (2.7580)	Prec@1 33.594 (34.243)	Prec@5 66.406 (64.643)
Epoch: [20][11900/14090]	Time 0.755 (0.768)	Data 0.001 (0.001)	Loss 2.4363 (2.7580)	Prec@1 35.938 (34.242)	Prec@5 69.531 (64.644)
Epoch: [20][11910/14090]	Time 0.847 (0.768)	Data 0.001 (0.001)	Loss 2.7929 (2.7580)	Prec@1 30.469 (34.243)	Prec@5 60.938 (64.643)
Epoch: [20][11920/14090]	Time 0.735 (0.768)	Data 0.001 (0.001)	Loss 2.6823 (2.7581)	Prec@1 37.500 (34.241)	Prec@5 65.625 (64.642)
Epoch: [20][11930/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 2.9995 (2.7580)	Prec@1 30.469 (34.241)	Prec@5 58.594 (64.642)
Epoch: [20][11940/14090]	Time 0.757 (0.768)	Data 0.001 (0.001)	Loss 2.7639 (2.7580)	Prec@1 34.375 (34.241)	Prec@5 66.406 (64.642)
Epoch: [20][11950/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 2.5980 (2.7580)	Prec@1 35.156 (34.242)	Prec@5 67.969 (64.642)
Epoch: [20][11960/14090]	Time 0.789 (0.768)	Data 0.001 (0.001)	Loss 2.6711 (2.7581)	Prec@1 36.719 (34.241)	Prec@5 65.625 (64.641)
Epoch: [20][11970/14090]	Time 0.742 (0.768)	Data 0.001 (0.001)	Loss 2.6943 (2.7581)	Prec@1 33.594 (34.241)	Prec@5 64.062 (64.641)
Epoch: [20][11980/14090]	Time 0.878 (0.768)	Data 0.001 (0.001)	Loss 2.6320 (2.7582)	Prec@1 35.156 (34.239)	Prec@5 65.625 (64.639)
Epoch: [20][11990/14090]	Time 0.745 (0.768)	Data 0.001 (0.001)	Loss 2.6490 (2.7582)	Prec@1 33.594 (34.241)	Prec@5 65.625 (64.639)
Epoch: [20][12000/14090]	Time 0.733 (0.768)	Data 0.001 (0.001)	Loss 2.6911 (2.7582)	Prec@1 33.594 (34.239)	Prec@5 65.625 (64.639)
Epoch: [20][12010/14090]	Time 0.747 (0.768)	Data 0.001 (0.001)	Loss 2.7050 (2.7582)	Prec@1 30.469 (34.239)	Prec@5 68.750 (64.639)
Epoch: [20][12020/14090]	Time 0.752 (0.768)	Data 0.001 (0.001)	Loss 2.8903 (2.7582)	Prec@1 34.375 (34.238)	Prec@5 55.469 (64.638)
Epoch: [20][12030/14090]	Time 0.755 (0.768)	Data 0.001 (0.001)	Loss 2.7411 (2.7582)	Prec@1 39.062 (34.239)	Prec@5 67.188 (64.638)
Epoch: [20][12040/14090]	Time 0.774 (0.768)	Data 0.001 (0.001)	Loss 2.7675 (2.7582)	Prec@1 32.812 (34.240)	Prec@5 63.281 (64.638)
Epoch: [20][12050/14090]	Time 0.883 (0.768)	Data 0.001 (0.001)	Loss 2.7077 (2.7582)	Prec@1 36.719 (34.240)	Prec@5 64.062 (64.638)
Epoch: [20][12060/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 2.7879 (2.7582)	Prec@1 30.469 (34.239)	Prec@5 64.062 (64.638)
Epoch: [20][12070/14090]	Time 0.776 (0.768)	Data 0.002 (0.001)	Loss 2.9371 (2.7582)	Prec@1 36.719 (34.240)	Prec@5 61.719 (64.639)
Epoch: [20][12080/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 2.6544 (2.7581)	Prec@1 42.969 (34.242)	Prec@5 62.500 (64.641)
Epoch: [20][12090/14090]	Time 0.744 (0.768)	Data 0.003 (0.001)	Loss 2.7573 (2.7583)	Prec@1 29.688 (34.238)	Prec@5 60.156 (64.639)
Epoch: [20][12100/14090]	Time 0.751 (0.768)	Data 0.001 (0.001)	Loss 2.7796 (2.7584)	Prec@1 35.938 (34.237)	Prec@5 65.625 (64.637)
Epoch: [20][12110/14090]	Time 0.742 (0.768)	Data 0.001 (0.001)	Loss 2.8543 (2.7583)	Prec@1 34.375 (34.236)	Prec@5 62.500 (64.638)
Epoch: [20][12120/14090]	Time 0.859 (0.768)	Data 0.001 (0.001)	Loss 3.1253 (2.7583)	Prec@1 28.906 (34.237)	Prec@5 61.719 (64.638)
Epoch: [20][12130/14090]	Time 0.749 (0.768)	Data 0.001 (0.001)	Loss 2.7147 (2.7583)	Prec@1 36.719 (34.237)	Prec@5 65.625 (64.637)
Epoch: [20][12140/14090]	Time 0.766 (0.768)	Data 0.001 (0.001)	Loss 2.7994 (2.7583)	Prec@1 35.156 (34.236)	Prec@5 64.062 (64.636)
Epoch: [20][12150/14090]	Time 0.734 (0.768)	Data 0.001 (0.001)	Loss 2.6538 (2.7583)	Prec@1 35.938 (34.237)	Prec@5 62.500 (64.636)
Epoch: [20][12160/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 2.8910 (2.7583)	Prec@1 37.500 (34.237)	Prec@5 66.406 (64.636)
Epoch: [20][12170/14090]	Time 0.737 (0.768)	Data 0.001 (0.001)	Loss 2.9939 (2.7584)	Prec@1 33.594 (34.236)	Prec@5 61.719 (64.633)
Epoch: [20][12180/14090]	Time 0.803 (0.768)	Data 0.001 (0.001)	Loss 2.8318 (2.7584)	Prec@1 34.375 (34.238)	Prec@5 60.156 (64.633)
Epoch: [20][12190/14090]	Time 0.865 (0.768)	Data 0.001 (0.001)	Loss 2.9009 (2.7584)	Prec@1 30.469 (34.238)	Prec@5 64.844 (64.633)
Epoch: [20][12200/14090]	Time 0.737 (0.768)	Data 0.001 (0.001)	Loss 2.6171 (2.7584)	Prec@1 38.281 (34.237)	Prec@5 66.406 (64.633)
Epoch: [20][12210/14090]	Time 0.730 (0.768)	Data 0.001 (0.001)	Loss 3.0988 (2.7584)	Prec@1 35.156 (34.234)	Prec@5 61.719 (64.631)
Epoch: [20][12220/14090]	Time 0.746 (0.768)	Data 0.002 (0.001)	Loss 2.4484 (2.7584)	Prec@1 39.844 (34.235)	Prec@5 67.969 (64.631)
Epoch: [20][12230/14090]	Time 0.757 (0.768)	Data 0.001 (0.001)	Loss 2.5297 (2.7583)	Prec@1 36.719 (34.236)	Prec@5 74.219 (64.633)
Epoch: [20][12240/14090]	Time 0.746 (0.768)	Data 0.001 (0.001)	Loss 2.8771 (2.7583)	Prec@1 30.469 (34.238)	Prec@5 60.156 (64.631)
Epoch: [20][12250/14090]	Time 0.722 (0.768)	Data 0.001 (0.001)	Loss 3.0367 (2.7583)	Prec@1 29.688 (34.237)	Prec@5 63.281 (64.630)
Epoch: [20][12260/14090]	Time 0.840 (0.768)	Data 0.001 (0.001)	Loss 2.8327 (2.7584)	Prec@1 37.500 (34.237)	Prec@5 65.625 (64.629)
Epoch: [20][12270/14090]	Time 0.754 (0.768)	Data 0.001 (0.001)	Loss 2.7141 (2.7583)	Prec@1 30.469 (34.236)	Prec@5 67.188 (64.629)
Epoch: [20][12280/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 2.9022 (2.7583)	Prec@1 32.031 (34.237)	Prec@5 62.500 (64.629)
Epoch: [20][12290/14090]	Time 0.757 (0.768)	Data 0.001 (0.001)	Loss 2.8227 (2.7583)	Prec@1 35.156 (34.236)	Prec@5 64.844 (64.629)
Epoch: [20][12300/14090]	Time 0.768 (0.768)	Data 0.001 (0.001)	Loss 2.5280 (2.7582)	Prec@1 39.062 (34.238)	Prec@5 76.562 (64.632)
Epoch: [20][12310/14090]	Time 0.746 (0.768)	Data 0.001 (0.001)	Loss 2.7926 (2.7582)	Prec@1 31.250 (34.237)	Prec@5 67.188 (64.632)
Epoch: [20][12320/14090]	Time 0.726 (0.768)	Data 0.001 (0.001)	Loss 2.6721 (2.7583)	Prec@1 35.156 (34.235)	Prec@5 67.969 (64.630)
Epoch: [20][12330/14090]	Time 0.831 (0.768)	Data 0.001 (0.001)	Loss 2.9279 (2.7584)	Prec@1 29.688 (34.235)	Prec@5 62.500 (64.627)
Epoch: [20][12340/14090]	Time 0.746 (0.768)	Data 0.001 (0.001)	Loss 2.8685 (2.7584)	Prec@1 32.812 (34.236)	Prec@5 57.031 (64.626)
Epoch: [20][12350/14090]	Time 0.732 (0.768)	Data 0.001 (0.001)	Loss 2.8513 (2.7584)	Prec@1 33.594 (34.236)	Prec@5 60.156 (64.625)
Epoch: [20][12360/14090]	Time 0.759 (0.768)	Data 0.001 (0.001)	Loss 2.5884 (2.7584)	Prec@1 39.062 (34.236)	Prec@5 67.188 (64.626)
Epoch: [20][12370/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 2.8363 (2.7584)	Prec@1 35.938 (34.237)	Prec@5 56.250 (64.626)
Epoch: [20][12380/14090]	Time 0.737 (0.768)	Data 0.001 (0.001)	Loss 2.8590 (2.7584)	Prec@1 33.594 (34.238)	Prec@5 65.625 (64.627)
Epoch: [20][12390/14090]	Time 0.782 (0.768)	Data 0.001 (0.001)	Loss 2.9384 (2.7584)	Prec@1 29.688 (34.238)	Prec@5 63.281 (64.626)
Epoch: [20][12400/14090]	Time 0.872 (0.768)	Data 0.001 (0.001)	Loss 2.8055 (2.7585)	Prec@1 30.469 (34.238)	Prec@5 60.156 (64.624)
Epoch: [20][12410/14090]	Time 0.744 (0.768)	Data 0.001 (0.001)	Loss 2.8703 (2.7585)	Prec@1 28.125 (34.237)	Prec@5 63.281 (64.624)
Epoch: [20][12420/14090]	Time 0.778 (0.768)	Data 0.001 (0.001)	Loss 2.7719 (2.7585)	Prec@1 36.719 (34.237)	Prec@5 64.062 (64.624)
Epoch: [20][12430/14090]	Time 0.746 (0.768)	Data 0.001 (0.001)	Loss 2.5702 (2.7585)	Prec@1 34.375 (34.236)	Prec@5 68.750 (64.623)
Epoch: [20][12440/14090]	Time 0.747 (0.768)	Data 0.001 (0.001)	Loss 2.5487 (2.7585)	Prec@1 39.062 (34.238)	Prec@5 67.188 (64.626)
Epoch: [20][12450/14090]	Time 0.750 (0.768)	Data 0.001 (0.001)	Loss 2.5476 (2.7584)	Prec@1 36.719 (34.241)	Prec@5 68.750 (64.627)
Epoch: [20][12460/14090]	Time 0.737 (0.768)	Data 0.001 (0.001)	Loss 2.4721 (2.7583)	Prec@1 40.625 (34.242)	Prec@5 73.438 (64.630)
Epoch: [20][12470/14090]	Time 0.836 (0.768)	Data 0.001 (0.001)	Loss 2.7321 (2.7583)	Prec@1 30.469 (34.242)	Prec@5 64.844 (64.629)
Epoch: [20][12480/14090]	Time 0.757 (0.768)	Data 0.001 (0.001)	Loss 2.7111 (2.7583)	Prec@1 41.406 (34.242)	Prec@5 62.500 (64.631)
Epoch: [20][12490/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 2.9990 (2.7583)	Prec@1 28.906 (34.242)	Prec@5 57.812 (64.630)
Epoch: [20][12500/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 2.6462 (2.7583)	Prec@1 32.031 (34.243)	Prec@5 64.844 (64.630)
Epoch: [20][12510/14090]	Time 0.747 (0.768)	Data 0.001 (0.001)	Loss 2.6882 (2.7582)	Prec@1 36.719 (34.244)	Prec@5 64.844 (64.631)
Epoch: [20][12520/14090]	Time 0.734 (0.768)	Data 0.001 (0.001)	Loss 2.7882 (2.7583)	Prec@1 32.812 (34.243)	Prec@5 62.500 (64.630)
Epoch: [20][12530/14090]	Time 0.757 (0.768)	Data 0.001 (0.001)	Loss 3.0824 (2.7584)	Prec@1 35.938 (34.243)	Prec@5 60.156 (64.630)
Epoch: [20][12540/14090]	Time 0.829 (0.768)	Data 0.001 (0.001)	Loss 2.5147 (2.7583)	Prec@1 32.031 (34.244)	Prec@5 72.656 (64.630)
Epoch: [20][12550/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 2.9822 (2.7584)	Prec@1 30.469 (34.241)	Prec@5 60.156 (64.631)
Epoch: [20][12560/14090]	Time 0.755 (0.768)	Data 0.001 (0.001)	Loss 2.7001 (2.7585)	Prec@1 35.156 (34.241)	Prec@5 63.281 (64.630)
Epoch: [20][12570/14090]	Time 0.723 (0.768)	Data 0.001 (0.001)	Loss 2.5942 (2.7585)	Prec@1 29.688 (34.238)	Prec@5 73.438 (64.630)
Epoch: [20][12580/14090]	Time 0.732 (0.768)	Data 0.001 (0.001)	Loss 2.7516 (2.7586)	Prec@1 31.250 (34.237)	Prec@5 62.500 (64.627)
Epoch: [20][12590/14090]	Time 0.743 (0.768)	Data 0.001 (0.001)	Loss 2.9455 (2.7586)	Prec@1 35.156 (34.237)	Prec@5 61.719 (64.626)
Epoch: [20][12600/14090]	Time 0.729 (0.768)	Data 0.001 (0.001)	Loss 2.5520 (2.7586)	Prec@1 40.625 (34.238)	Prec@5 69.531 (64.626)
Epoch: [20][12610/14090]	Time 0.817 (0.768)	Data 0.001 (0.001)	Loss 2.5706 (2.7586)	Prec@1 35.938 (34.238)	Prec@5 64.844 (64.627)
Epoch: [20][12620/14090]	Time 0.784 (0.768)	Data 0.001 (0.001)	Loss 2.5578 (2.7585)	Prec@1 34.375 (34.239)	Prec@5 72.656 (64.629)
Epoch: [20][12630/14090]	Time 0.776 (0.768)	Data 0.001 (0.001)	Loss 2.5140 (2.7584)	Prec@1 37.500 (34.240)	Prec@5 65.625 (64.630)
Epoch: [20][12640/14090]	Time 0.746 (0.768)	Data 0.001 (0.001)	Loss 2.8806 (2.7585)	Prec@1 34.375 (34.240)	Prec@5 61.719 (64.629)
Epoch: [20][12650/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 2.6357 (2.7585)	Prec@1 39.062 (34.240)	Prec@5 65.625 (64.629)
Epoch: [20][12660/14090]	Time 0.747 (0.768)	Data 0.001 (0.001)	Loss 2.7318 (2.7585)	Prec@1 35.156 (34.240)	Prec@5 66.406 (64.630)
Epoch: [20][12670/14090]	Time 0.730 (0.768)	Data 0.001 (0.001)	Loss 2.7454 (2.7585)	Prec@1 35.156 (34.241)	Prec@5 65.625 (64.631)
Epoch: [20][12680/14090]	Time 0.868 (0.768)	Data 0.001 (0.001)	Loss 2.5539 (2.7585)	Prec@1 44.531 (34.242)	Prec@5 68.750 (64.631)
Epoch: [20][12690/14090]	Time 0.773 (0.768)	Data 0.001 (0.001)	Loss 2.8447 (2.7584)	Prec@1 35.156 (34.245)	Prec@5 61.719 (64.632)
Epoch: [20][12700/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 2.8435 (2.7584)	Prec@1 31.250 (34.245)	Prec@5 64.062 (64.632)
Epoch: [20][12710/14090]	Time 0.767 (0.768)	Data 0.001 (0.001)	Loss 2.6782 (2.7583)	Prec@1 39.062 (34.245)	Prec@5 67.969 (64.634)
Epoch: [20][12720/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 2.6517 (2.7583)	Prec@1 35.156 (34.245)	Prec@5 64.844 (64.634)
Epoch: [20][12730/14090]	Time 0.754 (0.768)	Data 0.001 (0.001)	Loss 2.5537 (2.7583)	Prec@1 42.188 (34.245)	Prec@5 66.406 (64.636)
Epoch: [20][12740/14090]	Time 0.786 (0.768)	Data 0.001 (0.001)	Loss 2.5834 (2.7584)	Prec@1 37.500 (34.244)	Prec@5 71.094 (64.635)
Epoch: [20][12750/14090]	Time 0.822 (0.768)	Data 0.001 (0.001)	Loss 2.8105 (2.7584)	Prec@1 37.500 (34.243)	Prec@5 58.594 (64.634)
Epoch: [20][12760/14090]	Time 0.725 (0.768)	Data 0.001 (0.001)	Loss 2.7006 (2.7584)	Prec@1 35.938 (34.242)	Prec@5 66.406 (64.634)
Epoch: [20][12770/14090]	Time 0.733 (0.768)	Data 0.001 (0.001)	Loss 2.6631 (2.7584)	Prec@1 33.594 (34.242)	Prec@5 66.406 (64.636)
Epoch: [20][12780/14090]	Time 0.787 (0.768)	Data 0.001 (0.001)	Loss 2.7751 (2.7584)	Prec@1 26.562 (34.240)	Prec@5 64.062 (64.635)
Epoch: [20][12790/14090]	Time 0.784 (0.768)	Data 0.001 (0.001)	Loss 2.8383 (2.7585)	Prec@1 33.594 (34.239)	Prec@5 64.062 (64.635)
Epoch: [20][12800/14090]	Time 0.745 (0.768)	Data 0.001 (0.001)	Loss 2.7191 (2.7585)	Prec@1 35.156 (34.237)	Prec@5 67.969 (64.636)
Epoch: [20][12810/14090]	Time 0.726 (0.768)	Data 0.001 (0.001)	Loss 2.4393 (2.7585)	Prec@1 38.281 (34.238)	Prec@5 71.875 (64.635)
Epoch: [20][12820/14090]	Time 0.864 (0.768)	Data 0.001 (0.001)	Loss 2.7088 (2.7585)	Prec@1 32.812 (34.236)	Prec@5 64.844 (64.637)
Epoch: [20][12830/14090]	Time 0.769 (0.768)	Data 0.001 (0.001)	Loss 2.8070 (2.7585)	Prec@1 32.812 (34.236)	Prec@5 66.406 (64.637)
Epoch: [20][12840/14090]	Time 0.737 (0.768)	Data 0.001 (0.001)	Loss 2.7507 (2.7585)	Prec@1 34.375 (34.236)	Prec@5 67.188 (64.638)
Epoch: [20][12850/14090]	Time 0.773 (0.768)	Data 0.001 (0.001)	Loss 3.0655 (2.7585)	Prec@1 26.562 (34.237)	Prec@5 58.594 (64.639)
Epoch: [20][12860/14090]	Time 0.724 (0.768)	Data 0.001 (0.001)	Loss 2.5544 (2.7584)	Prec@1 38.281 (34.237)	Prec@5 68.750 (64.639)
Epoch: [20][12870/14090]	Time 0.742 (0.768)	Data 0.001 (0.001)	Loss 3.0098 (2.7585)	Prec@1 24.219 (34.236)	Prec@5 61.719 (64.639)
Epoch: [20][12880/14090]	Time 0.762 (0.768)	Data 0.001 (0.001)	Loss 2.8282 (2.7585)	Prec@1 36.719 (34.234)	Prec@5 61.719 (64.638)
Epoch: [20][12890/14090]	Time 0.862 (0.768)	Data 0.001 (0.001)	Loss 2.5123 (2.7585)	Prec@1 31.250 (34.232)	Prec@5 68.750 (64.637)
Epoch: [20][12900/14090]	Time 0.760 (0.768)	Data 0.001 (0.001)	Loss 2.7582 (2.7585)	Prec@1 35.156 (34.234)	Prec@5 61.719 (64.637)
Epoch: [20][12910/14090]	Time 0.760 (0.768)	Data 0.001 (0.001)	Loss 2.7452 (2.7585)	Prec@1 32.031 (34.235)	Prec@5 67.969 (64.637)
Epoch: [20][12920/14090]	Time 0.754 (0.768)	Data 0.001 (0.001)	Loss 2.6857 (2.7584)	Prec@1 32.812 (34.236)	Prec@5 62.500 (64.637)
Epoch: [20][12930/14090]	Time 0.771 (0.768)	Data 0.001 (0.001)	Loss 3.0611 (2.7585)	Prec@1 32.031 (34.235)	Prec@5 57.812 (64.636)
Epoch: [20][12940/14090]	Time 0.749 (0.768)	Data 0.001 (0.001)	Loss 2.6643 (2.7585)	Prec@1 36.719 (34.235)	Prec@5 67.969 (64.637)
Epoch: [20][12950/14090]	Time 0.750 (0.768)	Data 0.001 (0.001)	Loss 2.6491 (2.7585)	Prec@1 38.281 (34.236)	Prec@5 61.719 (64.636)
Epoch: [20][12960/14090]	Time 0.872 (0.768)	Data 0.001 (0.001)	Loss 2.5578 (2.7585)	Prec@1 37.500 (34.235)	Prec@5 71.094 (64.636)
Epoch: [20][12970/14090]	Time 0.744 (0.768)	Data 0.001 (0.001)	Loss 3.0562 (2.7585)	Prec@1 32.031 (34.234)	Prec@5 60.156 (64.636)
Epoch: [20][12980/14090]	Time 0.745 (0.768)	Data 0.001 (0.001)	Loss 2.5867 (2.7585)	Prec@1 35.938 (34.233)	Prec@5 67.969 (64.636)
Epoch: [20][12990/14090]	Time 0.754 (0.768)	Data 0.001 (0.001)	Loss 2.6242 (2.7585)	Prec@1 37.500 (34.234)	Prec@5 67.969 (64.636)
Epoch: [20][13000/14090]	Time 0.747 (0.768)	Data 0.001 (0.001)	Loss 2.8368 (2.7586)	Prec@1 29.688 (34.232)	Prec@5 62.500 (64.635)
Epoch: [20][13010/14090]	Time 0.755 (0.768)	Data 0.001 (0.001)	Loss 2.6135 (2.7586)	Prec@1 38.281 (34.233)	Prec@5 67.969 (64.634)
Epoch: [20][13020/14090]	Time 0.777 (0.768)	Data 0.001 (0.001)	Loss 2.6663 (2.7586)	Prec@1 35.156 (34.231)	Prec@5 73.438 (64.634)
Epoch: [20][13030/14090]	Time 0.853 (0.768)	Data 0.001 (0.001)	Loss 2.8031 (2.7586)	Prec@1 39.844 (34.231)	Prec@5 61.719 (64.633)
Epoch: [20][13040/14090]	Time 0.733 (0.768)	Data 0.001 (0.001)	Loss 2.7037 (2.7586)	Prec@1 35.156 (34.232)	Prec@5 64.062 (64.635)
Epoch: [20][13050/14090]	Time 0.724 (0.768)	Data 0.001 (0.001)	Loss 2.6733 (2.7585)	Prec@1 39.844 (34.233)	Prec@5 63.281 (64.637)
Epoch: [20][13060/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 3.0677 (2.7585)	Prec@1 29.688 (34.232)	Prec@5 59.375 (64.636)
Epoch: [20][13070/14090]	Time 0.740 (0.768)	Data 0.001 (0.001)	Loss 2.6648 (2.7585)	Prec@1 39.062 (34.233)	Prec@5 70.312 (64.638)
Epoch: [20][13080/14090]	Time 0.754 (0.768)	Data 0.001 (0.001)	Loss 2.7839 (2.7585)	Prec@1 32.031 (34.232)	Prec@5 64.062 (64.636)
Epoch: [20][13090/14090]	Time 0.768 (0.768)	Data 0.001 (0.001)	Loss 2.7328 (2.7585)	Prec@1 33.594 (34.231)	Prec@5 59.375 (64.634)
Epoch: [20][13100/14090]	Time 0.874 (0.768)	Data 0.001 (0.001)	Loss 2.8323 (2.7585)	Prec@1 28.125 (34.229)	Prec@5 64.062 (64.635)
Epoch: [20][13110/14090]	Time 0.754 (0.768)	Data 0.001 (0.001)	Loss 2.7870 (2.7584)	Prec@1 30.469 (34.229)	Prec@5 67.969 (64.636)
Epoch: [20][13120/14090]	Time 0.755 (0.768)	Data 0.001 (0.001)	Loss 2.6561 (2.7585)	Prec@1 37.500 (34.229)	Prec@5 66.406 (64.635)
Epoch: [20][13130/14090]	Time 0.776 (0.768)	Data 0.001 (0.001)	Loss 2.7853 (2.7584)	Prec@1 30.469 (34.230)	Prec@5 63.281 (64.634)
Epoch: [20][13140/14090]	Time 0.729 (0.768)	Data 0.001 (0.001)	Loss 2.7080 (2.7584)	Prec@1 30.469 (34.229)	Prec@5 65.625 (64.635)
Epoch: [20][13150/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 2.5873 (2.7584)	Prec@1 34.375 (34.228)	Prec@5 65.625 (64.635)
Epoch: [20][13160/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 2.7530 (2.7584)	Prec@1 33.594 (34.227)	Prec@5 65.625 (64.635)
Epoch: [20][13170/14090]	Time 0.881 (0.768)	Data 0.001 (0.001)	Loss 2.6839 (2.7583)	Prec@1 39.062 (34.228)	Prec@5 64.062 (64.636)
Epoch: [20][13180/14090]	Time 0.754 (0.768)	Data 0.001 (0.001)	Loss 2.5356 (2.7584)	Prec@1 32.812 (34.226)	Prec@5 71.875 (64.636)
Epoch: [20][13190/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 2.4884 (2.7584)	Prec@1 38.281 (34.226)	Prec@5 73.438 (64.637)
Epoch: [20][13200/14090]	Time 0.743 (0.768)	Data 0.001 (0.001)	Loss 2.6418 (2.7584)	Prec@1 37.500 (34.226)	Prec@5 74.219 (64.636)
Epoch: [20][13210/14090]	Time 0.737 (0.768)	Data 0.001 (0.001)	Loss 2.9505 (2.7584)	Prec@1 32.031 (34.227)	Prec@5 63.281 (64.636)
Epoch: [20][13220/14090]	Time 0.759 (0.768)	Data 0.001 (0.001)	Loss 2.5779 (2.7584)	Prec@1 37.500 (34.227)	Prec@5 68.750 (64.637)
Epoch: [20][13230/14090]	Time 0.748 (0.768)	Data 0.001 (0.001)	Loss 2.7186 (2.7583)	Prec@1 37.500 (34.228)	Prec@5 64.844 (64.637)
Epoch: [20][13240/14090]	Time 0.873 (0.768)	Data 0.001 (0.001)	Loss 2.7527 (2.7583)	Prec@1 34.375 (34.228)	Prec@5 64.062 (64.638)
Epoch: [20][13250/14090]	Time 0.754 (0.768)	Data 0.001 (0.001)	Loss 2.6708 (2.7582)	Prec@1 31.250 (34.229)	Prec@5 62.500 (64.639)
Epoch: [20][13260/14090]	Time 0.735 (0.768)	Data 0.001 (0.001)	Loss 2.9662 (2.7583)	Prec@1 35.938 (34.228)	Prec@5 61.719 (64.638)
Epoch: [20][13270/14090]	Time 0.734 (0.768)	Data 0.001 (0.001)	Loss 2.9427 (2.7583)	Prec@1 29.688 (34.227)	Prec@5 62.500 (64.638)
Epoch: [20][13280/14090]	Time 0.751 (0.768)	Data 0.001 (0.001)	Loss 2.8805 (2.7583)	Prec@1 39.844 (34.228)	Prec@5 62.500 (64.637)
Epoch: [20][13290/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 2.5688 (2.7583)	Prec@1 35.156 (34.227)	Prec@5 67.188 (64.637)
Epoch: [20][13300/14090]	Time 0.726 (0.768)	Data 0.001 (0.001)	Loss 2.9116 (2.7583)	Prec@1 35.156 (34.227)	Prec@5 59.375 (64.635)
Epoch: [20][13310/14090]	Time 0.864 (0.768)	Data 0.001 (0.001)	Loss 2.6957 (2.7584)	Prec@1 39.844 (34.226)	Prec@5 58.594 (64.634)
Epoch: [20][13320/14090]	Time 0.764 (0.768)	Data 0.001 (0.001)	Loss 2.9425 (2.7583)	Prec@1 30.469 (34.226)	Prec@5 60.156 (64.634)
Epoch: [20][13330/14090]	Time 0.766 (0.768)	Data 0.001 (0.001)	Loss 2.8090 (2.7584)	Prec@1 27.344 (34.226)	Prec@5 64.844 (64.634)
Epoch: [20][13340/14090]	Time 0.733 (0.768)	Data 0.001 (0.001)	Loss 2.5901 (2.7584)	Prec@1 36.719 (34.226)	Prec@5 67.969 (64.634)
Epoch: [20][13350/14090]	Time 0.726 (0.768)	Data 0.001 (0.001)	Loss 2.7708 (2.7583)	Prec@1 34.375 (34.226)	Prec@5 66.406 (64.635)
Epoch: [20][13360/14090]	Time 0.751 (0.768)	Data 0.001 (0.001)	Loss 2.3561 (2.7583)	Prec@1 45.312 (34.228)	Prec@5 70.312 (64.637)
Epoch: [20][13370/14090]	Time 0.761 (0.768)	Data 0.001 (0.001)	Loss 2.5707 (2.7582)	Prec@1 40.625 (34.228)	Prec@5 70.312 (64.638)
Epoch: [20][13380/14090]	Time 0.868 (0.768)	Data 0.001 (0.001)	Loss 2.8834 (2.7583)	Prec@1 32.812 (34.227)	Prec@5 63.281 (64.637)
Epoch: [20][13390/14090]	Time 0.746 (0.768)	Data 0.001 (0.001)	Loss 2.5586 (2.7583)	Prec@1 36.719 (34.226)	Prec@5 68.750 (64.637)
Epoch: [20][13400/14090]	Time 0.747 (0.768)	Data 0.001 (0.001)	Loss 2.8479 (2.7583)	Prec@1 28.125 (34.227)	Prec@5 63.281 (64.636)
Epoch: [20][13410/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 3.2301 (2.7583)	Prec@1 29.688 (34.226)	Prec@5 57.031 (64.637)
Epoch: [20][13420/14090]	Time 0.744 (0.768)	Data 0.001 (0.001)	Loss 2.7720 (2.7583)	Prec@1 35.156 (34.226)	Prec@5 64.844 (64.636)
Epoch: [20][13430/14090]	Time 0.735 (0.768)	Data 0.001 (0.001)	Loss 2.5962 (2.7583)	Prec@1 39.844 (34.227)	Prec@5 66.406 (64.636)
Epoch: [20][13440/14090]	Time 0.734 (0.768)	Data 0.001 (0.001)	Loss 3.1304 (2.7583)	Prec@1 27.344 (34.227)	Prec@5 60.156 (64.636)
Epoch: [20][13450/14090]	Time 0.836 (0.768)	Data 0.001 (0.001)	Loss 2.8297 (2.7583)	Prec@1 37.500 (34.228)	Prec@5 59.375 (64.635)
Epoch: [20][13460/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 2.5019 (2.7582)	Prec@1 38.281 (34.228)	Prec@5 74.219 (64.636)
Epoch: [20][13470/14090]	Time 0.732 (0.768)	Data 0.001 (0.001)	Loss 2.9402 (2.7582)	Prec@1 32.812 (34.228)	Prec@5 61.719 (64.636)
Epoch: [20][13480/14090]	Time 0.727 (0.768)	Data 0.001 (0.001)	Loss 2.9365 (2.7583)	Prec@1 31.250 (34.227)	Prec@5 64.844 (64.636)
Epoch: [20][13490/14090]	Time 0.732 (0.768)	Data 0.001 (0.001)	Loss 2.6967 (2.7583)	Prec@1 36.719 (34.226)	Prec@5 64.844 (64.635)
Epoch: [20][13500/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 2.4859 (2.7583)	Prec@1 38.281 (34.227)	Prec@5 70.312 (64.634)
Epoch: [20][13510/14090]	Time 0.764 (0.768)	Data 0.001 (0.001)	Loss 2.5553 (2.7582)	Prec@1 45.312 (34.228)	Prec@5 67.188 (64.634)
Epoch: [20][13520/14090]	Time 0.852 (0.768)	Data 0.001 (0.001)	Loss 2.6565 (2.7583)	Prec@1 36.719 (34.228)	Prec@5 66.406 (64.632)
Epoch: [20][13530/14090]	Time 0.744 (0.768)	Data 0.001 (0.001)	Loss 3.0234 (2.7583)	Prec@1 32.812 (34.227)	Prec@5 60.156 (64.631)
Epoch: [20][13540/14090]	Time 0.768 (0.768)	Data 0.001 (0.001)	Loss 3.0470 (2.7584)	Prec@1 26.562 (34.226)	Prec@5 59.375 (64.630)
Epoch: [20][13550/14090]	Time 0.763 (0.768)	Data 0.001 (0.001)	Loss 2.7623 (2.7584)	Prec@1 29.688 (34.225)	Prec@5 63.281 (64.629)
Epoch: [20][13560/14090]	Time 0.784 (0.768)	Data 0.001 (0.001)	Loss 2.7307 (2.7584)	Prec@1 35.156 (34.225)	Prec@5 64.062 (64.629)
Epoch: [20][13570/14090]	Time 0.756 (0.768)	Data 0.001 (0.001)	Loss 2.8575 (2.7584)	Prec@1 32.812 (34.224)	Prec@5 61.719 (64.627)
Epoch: [20][13580/14090]	Time 0.782 (0.768)	Data 0.001 (0.001)	Loss 2.8238 (2.7584)	Prec@1 38.281 (34.223)	Prec@5 63.281 (64.627)
Epoch: [20][13590/14090]	Time 0.855 (0.768)	Data 0.001 (0.001)	Loss 2.7318 (2.7585)	Prec@1 26.562 (34.221)	Prec@5 63.281 (64.626)
Epoch: [20][13600/14090]	Time 0.732 (0.768)	Data 0.001 (0.001)	Loss 2.9134 (2.7584)	Prec@1 32.812 (34.222)	Prec@5 60.156 (64.627)
Epoch: [20][13610/14090]	Time 0.752 (0.768)	Data 0.001 (0.001)	Loss 2.9261 (2.7585)	Prec@1 35.156 (34.220)	Prec@5 63.281 (64.627)
Epoch: [20][13620/14090]	Time 0.778 (0.768)	Data 0.001 (0.001)	Loss 2.6691 (2.7585)	Prec@1 33.594 (34.219)	Prec@5 67.188 (64.627)
Epoch: [20][13630/14090]	Time 0.769 (0.768)	Data 0.001 (0.001)	Loss 2.6746 (2.7585)	Prec@1 35.938 (34.220)	Prec@5 66.406 (64.628)
Epoch: [20][13640/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 2.6705 (2.7585)	Prec@1 32.812 (34.220)	Prec@5 71.094 (64.626)
Epoch: [20][13650/14090]	Time 0.726 (0.768)	Data 0.001 (0.001)	Loss 2.6486 (2.7585)	Prec@1 38.281 (34.220)	Prec@5 69.531 (64.627)
Epoch: [20][13660/14090]	Time 0.849 (0.768)	Data 0.001 (0.001)	Loss 2.6719 (2.7584)	Prec@1 39.844 (34.222)	Prec@5 68.750 (64.629)
Epoch: [20][13670/14090]	Time 0.754 (0.768)	Data 0.001 (0.001)	Loss 3.1615 (2.7584)	Prec@1 28.906 (34.221)	Prec@5 60.156 (64.629)
Epoch: [20][13680/14090]	Time 0.743 (0.768)	Data 0.001 (0.001)	Loss 2.7029 (2.7585)	Prec@1 30.469 (34.219)	Prec@5 64.062 (64.626)
Epoch: [20][13690/14090]	Time 0.717 (0.768)	Data 0.001 (0.001)	Loss 2.6256 (2.7585)	Prec@1 42.969 (34.219)	Prec@5 70.312 (64.627)
Epoch: [20][13700/14090]	Time 0.729 (0.768)	Data 0.001 (0.001)	Loss 2.6335 (2.7584)	Prec@1 36.719 (34.221)	Prec@5 68.750 (64.627)
Epoch: [20][13710/14090]	Time 0.761 (0.768)	Data 0.001 (0.001)	Loss 2.9571 (2.7584)	Prec@1 26.562 (34.222)	Prec@5 60.156 (64.628)
Epoch: [20][13720/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 3.0139 (2.7584)	Prec@1 32.031 (34.222)	Prec@5 63.281 (64.629)
Epoch: [20][13730/14090]	Time 0.862 (0.768)	Data 0.001 (0.001)	Loss 2.8283 (2.7585)	Prec@1 32.812 (34.221)	Prec@5 60.938 (64.628)
Epoch: [20][13740/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 2.8114 (2.7585)	Prec@1 32.812 (34.220)	Prec@5 60.156 (64.626)
Epoch: [20][13750/14090]	Time 0.727 (0.768)	Data 0.001 (0.001)	Loss 2.6107 (2.7585)	Prec@1 34.375 (34.221)	Prec@5 69.531 (64.627)
Epoch: [20][13760/14090]	Time 0.744 (0.768)	Data 0.001 (0.001)	Loss 2.8578 (2.7585)	Prec@1 29.688 (34.222)	Prec@5 59.375 (64.626)
Epoch: [20][13770/14090]	Time 0.748 (0.768)	Data 0.001 (0.001)	Loss 2.9625 (2.7585)	Prec@1 32.812 (34.222)	Prec@5 61.719 (64.627)
Epoch: [20][13780/14090]	Time 0.752 (0.768)	Data 0.001 (0.001)	Loss 3.0330 (2.7585)	Prec@1 32.031 (34.222)	Prec@5 59.375 (64.626)
Epoch: [20][13790/14090]	Time 0.732 (0.768)	Data 0.001 (0.001)	Loss 2.8753 (2.7586)	Prec@1 25.781 (34.221)	Prec@5 60.156 (64.625)
Epoch: [20][13800/14090]	Time 0.815 (0.768)	Data 0.001 (0.001)	Loss 2.7208 (2.7585)	Prec@1 35.156 (34.222)	Prec@5 62.500 (64.625)
Epoch: [20][13810/14090]	Time 0.742 (0.768)	Data 0.001 (0.001)	Loss 2.6465 (2.7585)	Prec@1 33.594 (34.223)	Prec@5 67.188 (64.626)
Epoch: [20][13820/14090]	Time 0.754 (0.768)	Data 0.001 (0.001)	Loss 2.7071 (2.7585)	Prec@1 34.375 (34.222)	Prec@5 64.844 (64.626)
Epoch: [20][13830/14090]	Time 0.757 (0.768)	Data 0.001 (0.001)	Loss 3.0498 (2.7585)	Prec@1 30.469 (34.222)	Prec@5 53.125 (64.627)
Epoch: [20][13840/14090]	Time 0.728 (0.768)	Data 0.001 (0.001)	Loss 2.7948 (2.7585)	Prec@1 36.719 (34.222)	Prec@5 60.938 (64.626)
Epoch: [20][13850/14090]	Time 0.742 (0.768)	Data 0.001 (0.001)	Loss 2.8244 (2.7585)	Prec@1 28.906 (34.222)	Prec@5 61.719 (64.626)
Epoch: [20][13860/14090]	Time 0.725 (0.768)	Data 0.001 (0.001)	Loss 2.7466 (2.7585)	Prec@1 37.500 (34.222)	Prec@5 67.188 (64.625)
Epoch: [20][13870/14090]	Time 0.868 (0.768)	Data 0.001 (0.001)	Loss 2.6700 (2.7585)	Prec@1 39.844 (34.224)	Prec@5 65.625 (64.624)
Epoch: [20][13880/14090]	Time 0.737 (0.768)	Data 0.001 (0.001)	Loss 2.6162 (2.7585)	Prec@1 36.719 (34.225)	Prec@5 67.969 (64.624)
Epoch: [20][13890/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 2.9731 (2.7585)	Prec@1 30.469 (34.225)	Prec@5 59.375 (64.624)
Epoch: [20][13900/14090]	Time 0.752 (0.768)	Data 0.001 (0.001)	Loss 2.7147 (2.7585)	Prec@1 35.156 (34.227)	Prec@5 64.062 (64.624)
Epoch: [20][13910/14090]	Time 0.766 (0.768)	Data 0.001 (0.001)	Loss 2.5911 (2.7585)	Prec@1 30.469 (34.226)	Prec@5 71.875 (64.624)
Epoch: [20][13920/14090]	Time 0.763 (0.768)	Data 0.001 (0.001)	Loss 2.7261 (2.7585)	Prec@1 33.594 (34.225)	Prec@5 66.406 (64.624)
Epoch: [20][13930/14090]	Time 0.791 (0.768)	Data 0.001 (0.001)	Loss 2.9440 (2.7586)	Prec@1 33.594 (34.223)	Prec@5 62.500 (64.623)
Epoch: [20][13940/14090]	Time 0.817 (0.768)	Data 0.001 (0.001)	Loss 2.8893 (2.7586)	Prec@1 37.500 (34.224)	Prec@5 65.625 (64.624)
Epoch: [20][13950/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 2.6484 (2.7586)	Prec@1 33.594 (34.223)	Prec@5 67.188 (64.624)
Epoch: [20][13960/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 2.8330 (2.7586)	Prec@1 33.594 (34.225)	Prec@5 64.844 (64.625)
Epoch: [20][13970/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 2.5968 (2.7585)	Prec@1 39.844 (34.226)	Prec@5 70.312 (64.627)
Epoch: [20][13980/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 2.6114 (2.7585)	Prec@1 32.812 (34.226)	Prec@5 67.969 (64.627)
Epoch: [20][13990/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.6313 (2.7585)	Prec@1 34.375 (34.226)	Prec@5 63.281 (64.628)
Epoch: [20][14000/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 2.7612 (2.7585)	Prec@1 32.031 (34.226)	Prec@5 65.625 (64.627)
Epoch: [20][14010/14090]	Time 0.837 (0.767)	Data 0.001 (0.001)	Loss 2.6200 (2.7585)	Prec@1 40.625 (34.226)	Prec@5 72.656 (64.628)
Epoch: [20][14020/14090]	Time 0.777 (0.767)	Data 0.001 (0.001)	Loss 2.7583 (2.7585)	Prec@1 38.281 (34.226)	Prec@5 62.500 (64.628)
Epoch: [20][14030/14090]	Time 0.723 (0.767)	Data 0.001 (0.001)	Loss 2.9608 (2.7585)	Prec@1 31.250 (34.227)	Prec@5 61.719 (64.628)
Epoch: [20][14040/14090]	Time 0.768 (0.767)	Data 0.001 (0.001)	Loss 2.8579 (2.7585)	Prec@1 37.500 (34.226)	Prec@5 61.719 (64.627)
Epoch: [20][14050/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 2.9158 (2.7585)	Prec@1 33.594 (34.226)	Prec@5 62.500 (64.626)
Epoch: [20][14060/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 2.4998 (2.7585)	Prec@1 40.625 (34.228)	Prec@5 67.188 (64.627)
Epoch: [20][14070/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 2.6457 (2.7584)	Prec@1 40.625 (34.229)	Prec@5 69.531 (64.627)
Epoch: [20][14080/14090]	Time 0.841 (0.767)	Data 0.000 (0.001)	Loss 2.7216 (2.7584)	Prec@1 32.031 (34.229)	Prec@5 62.500 (64.627)
Test: [0/286]	Time 3.399 (3.399)	Loss 2.5058 (2.5058)	Prec@1 32.031 (32.031)	Prec@5 81.250 (81.250)
Test: [10/286]	Time 0.384 (0.561)	Loss 2.6006 (2.7515)	Prec@1 34.375 (33.523)	Prec@5 75.000 (69.531)
Test: [20/286]	Time 0.275 (0.426)	Loss 1.8136 (2.5227)	Prec@1 54.688 (39.062)	Prec@5 83.594 (72.321)
Test: [30/286]	Time 0.326 (0.383)	Loss 3.2747 (2.4600)	Prec@1 25.781 (41.129)	Prec@5 53.125 (71.951)
Test: [40/286]	Time 0.553 (0.367)	Loss 2.4037 (2.4598)	Prec@1 33.594 (40.206)	Prec@5 73.438 (71.646)
Test: [50/286]	Time 0.247 (0.353)	Loss 1.5611 (2.4603)	Prec@1 67.188 (40.533)	Prec@5 80.469 (71.216)
Test: [60/286]	Time 0.234 (0.343)	Loss 3.4499 (2.4860)	Prec@1 21.094 (40.651)	Prec@5 55.469 (70.056)
Test: [70/286]	Time 0.233 (0.334)	Loss 2.2400 (2.5008)	Prec@1 43.750 (40.108)	Prec@5 78.906 (69.872)
Test: [80/286]	Time 0.556 (0.334)	Loss 2.9385 (2.5223)	Prec@1 27.344 (39.284)	Prec@5 57.031 (69.406)
Test: [90/286]	Time 0.249 (0.330)	Loss 3.8640 (2.5338)	Prec@1 13.281 (38.771)	Prec@5 42.969 (69.420)
Test: [100/286]	Time 0.257 (0.325)	Loss 2.6091 (2.5301)	Prec@1 29.688 (38.397)	Prec@5 71.094 (69.717)
Test: [110/286]	Time 0.236 (0.322)	Loss 2.7468 (2.5259)	Prec@1 38.281 (38.211)	Prec@5 66.406 (69.996)
Test: [120/286]	Time 0.403 (0.320)	Loss 2.5468 (2.4980)	Prec@1 42.188 (38.979)	Prec@5 68.750 (70.571)
Test: [130/286]	Time 0.452 (0.320)	Loss 1.7275 (2.4902)	Prec@1 57.031 (39.229)	Prec@5 82.812 (70.736)
Test: [140/286]	Time 0.250 (0.317)	Loss 2.6187 (2.4859)	Prec@1 44.531 (39.378)	Prec@5 68.750 (70.905)
Test: [150/286]	Time 0.228 (0.315)	Loss 2.4050 (2.4792)	Prec@1 35.156 (39.176)	Prec@5 77.344 (71.327)
Test: [160/286]	Time 0.284 (0.314)	Loss 3.5840 (2.4737)	Prec@1 10.156 (39.276)	Prec@5 48.438 (71.404)
Test: [170/286]	Time 0.293 (0.314)	Loss 1.7125 (2.4573)	Prec@1 56.250 (39.460)	Prec@5 78.906 (71.715)
Test: [180/286]	Time 0.242 (0.313)	Loss 2.2800 (2.4637)	Prec@1 49.219 (39.347)	Prec@5 73.438 (71.586)
Test: [190/286]	Time 0.243 (0.311)	Loss 3.0973 (2.4705)	Prec@1 19.531 (39.067)	Prec@5 63.281 (71.531)
Test: [200/286]	Time 0.225 (0.312)	Loss 1.9118 (2.4584)	Prec@1 60.156 (39.335)	Prec@5 78.125 (71.669)
Test: [210/286]	Time 0.237 (0.311)	Loss 2.3995 (2.4732)	Prec@1 41.406 (38.992)	Prec@5 73.438 (71.390)
Test: [220/286]	Time 0.235 (0.310)	Loss 4.6289 (2.4971)	Prec@1 8.594 (38.635)	Prec@5 27.344 (70.952)
Test: [230/286]	Time 0.230 (0.310)	Loss 1.0963 (2.5059)	Prec@1 71.875 (38.552)	Prec@5 91.406 (70.735)
Test: [240/286]	Time 0.239 (0.310)	Loss 2.4920 (2.5019)	Prec@1 41.406 (38.725)	Prec@5 74.219 (70.796)
Test: [250/286]	Time 0.235 (0.309)	Loss 2.8152 (2.4916)	Prec@1 28.906 (38.664)	Prec@5 62.500 (71.078)
Test: [260/286]	Time 0.248 (0.309)	Loss 2.2940 (2.4893)	Prec@1 46.875 (38.679)	Prec@5 70.312 (71.112)
Test: [270/286]	Time 0.223 (0.308)	Loss 1.8825 (2.4918)	Prec@1 55.469 (38.665)	Prec@5 77.344 (71.042)
Test: [280/286]	Time 0.291 (0.309)	Loss 2.0568 (2.4768)	Prec@1 41.406 (39.029)	Prec@5 84.375 (71.222)
 * Prec@1 39.319 Prec@5 71.383
Epoch: [21][0/14090]	Time 4.765 (4.765)	Data 3.963 (3.963)	Loss 2.7284 (2.7284)	Prec@1 31.250 (31.250)	Prec@5 64.844 (64.844)
Epoch: [21][10/14090]	Time 0.740 (1.117)	Data 0.001 (0.361)	Loss 3.1036 (2.8257)	Prec@1 31.250 (32.386)	Prec@5 57.031 (62.358)
Epoch: [21][20/14090]	Time 0.753 (0.940)	Data 0.001 (0.190)	Loss 2.8378 (2.8274)	Prec@1 35.156 (32.812)	Prec@5 60.938 (62.984)
Epoch: [21][30/14090]	Time 0.740 (0.885)	Data 0.001 (0.129)	Loss 2.8487 (2.8103)	Prec@1 38.281 (33.191)	Prec@5 64.062 (63.332)
Epoch: [21][40/14090]	Time 0.760 (0.855)	Data 0.001 (0.097)	Loss 2.7671 (2.7906)	Prec@1 35.938 (33.232)	Prec@5 66.406 (63.929)
Epoch: [21][50/14090]	Time 0.891 (0.841)	Data 0.001 (0.079)	Loss 2.4122 (2.7688)	Prec@1 40.625 (33.609)	Prec@5 73.438 (64.308)
Epoch: [21][60/14090]	Time 0.753 (0.827)	Data 0.001 (0.066)	Loss 2.3243 (2.7567)	Prec@1 40.625 (33.760)	Prec@5 71.875 (64.383)
Epoch: [21][70/14090]	Time 0.743 (0.818)	Data 0.001 (0.057)	Loss 2.7365 (2.7520)	Prec@1 35.938 (33.957)	Prec@5 60.938 (64.426)
Epoch: [21][80/14090]	Time 0.783 (0.812)	Data 0.001 (0.050)	Loss 2.6169 (2.7478)	Prec@1 39.062 (34.192)	Prec@5 67.969 (64.487)
Epoch: [21][90/14090]	Time 0.748 (0.807)	Data 0.001 (0.044)	Loss 2.4969 (2.7399)	Prec@1 35.156 (34.358)	Prec@5 67.188 (64.724)
Epoch: [21][100/14090]	Time 0.734 (0.805)	Data 0.001 (0.040)	Loss 2.5943 (2.7403)	Prec@1 41.406 (34.414)	Prec@5 62.500 (64.635)
Epoch: [21][110/14090]	Time 0.758 (0.802)	Data 0.001 (0.037)	Loss 2.7424 (2.7455)	Prec@1 37.500 (34.340)	Prec@5 64.844 (64.604)
Epoch: [21][120/14090]	Time 0.910 (0.800)	Data 0.001 (0.034)	Loss 2.5945 (2.7420)	Prec@1 35.938 (34.530)	Prec@5 69.531 (64.734)
Epoch: [21][130/14090]	Time 0.735 (0.797)	Data 0.001 (0.031)	Loss 2.5480 (2.7432)	Prec@1 36.719 (34.548)	Prec@5 70.312 (64.707)
Epoch: [21][140/14090]	Time 0.745 (0.795)	Data 0.001 (0.029)	Loss 2.8243 (2.7440)	Prec@1 38.281 (34.630)	Prec@5 60.938 (64.633)
Epoch: [21][150/14090]	Time 0.757 (0.794)	Data 0.001 (0.027)	Loss 2.9767 (2.7440)	Prec@1 28.125 (34.608)	Prec@5 57.031 (64.637)
Epoch: [21][160/14090]	Time 0.776 (0.792)	Data 0.001 (0.025)	Loss 3.0156 (2.7457)	Prec@1 30.469 (34.574)	Prec@5 61.719 (64.655)
Epoch: [21][170/14090]	Time 0.763 (0.791)	Data 0.001 (0.024)	Loss 2.4996 (2.7424)	Prec@1 42.969 (34.690)	Prec@5 69.531 (64.771)
Epoch: [21][180/14090]	Time 0.743 (0.789)	Data 0.001 (0.023)	Loss 2.5359 (2.7370)	Prec@1 35.938 (34.841)	Prec@5 67.188 (64.913)
Epoch: [21][190/14090]	Time 0.903 (0.789)	Data 0.001 (0.022)	Loss 2.6604 (2.7406)	Prec@1 36.719 (34.764)	Prec@5 69.531 (64.799)
Epoch: [21][200/14090]	Time 0.744 (0.788)	Data 0.001 (0.021)	Loss 2.4316 (2.7430)	Prec@1 36.719 (34.768)	Prec@5 74.219 (64.832)
Epoch: [21][210/14090]	Time 0.781 (0.788)	Data 0.001 (0.020)	Loss 2.8456 (2.7437)	Prec@1 32.031 (34.786)	Prec@5 59.375 (64.762)
Epoch: [21][220/14090]	Time 0.769 (0.787)	Data 0.001 (0.019)	Loss 2.9245 (2.7410)	Prec@1 30.469 (34.820)	Prec@5 60.938 (64.830)
Epoch: [21][230/14090]	Time 0.748 (0.786)	Data 0.001 (0.018)	Loss 2.5322 (2.7361)	Prec@1 35.938 (34.838)	Prec@5 75.000 (64.976)
Epoch: [21][240/14090]	Time 0.730 (0.785)	Data 0.001 (0.017)	Loss 2.6060 (2.7324)	Prec@1 34.375 (34.978)	Prec@5 67.969 (65.019)
Epoch: [21][250/14090]	Time 0.734 (0.785)	Data 0.001 (0.017)	Loss 2.5342 (2.7315)	Prec@1 39.062 (34.948)	Prec@5 67.969 (65.012)
Epoch: [21][260/14090]	Time 0.861 (0.784)	Data 0.001 (0.016)	Loss 2.6755 (2.7318)	Prec@1 35.938 (34.938)	Prec@5 66.406 (65.002)
Epoch: [21][270/14090]	Time 0.755 (0.784)	Data 0.001 (0.015)	Loss 2.5529 (2.7332)	Prec@1 32.031 (34.871)	Prec@5 70.312 (65.037)
Epoch: [21][280/14090]	Time 0.734 (0.783)	Data 0.001 (0.015)	Loss 2.8810 (2.7354)	Prec@1 29.688 (34.798)	Prec@5 57.031 (65.002)
Epoch: [21][290/14090]	Time 0.784 (0.783)	Data 0.001 (0.014)	Loss 2.6734 (2.7353)	Prec@1 36.719 (34.813)	Prec@5 68.750 (64.970)
Epoch: [21][300/14090]	Time 0.742 (0.782)	Data 0.002 (0.014)	Loss 3.0905 (2.7360)	Prec@1 26.562 (34.793)	Prec@5 54.688 (64.909)
Epoch: [21][310/14090]	Time 0.759 (0.782)	Data 0.001 (0.014)	Loss 2.9837 (2.7388)	Prec@1 25.781 (34.724)	Prec@5 59.375 (64.891)
Epoch: [21][320/14090]	Time 0.734 (0.781)	Data 0.001 (0.013)	Loss 2.8209 (2.7364)	Prec@1 34.375 (34.767)	Prec@5 63.281 (64.939)
Epoch: [21][330/14090]	Time 0.882 (0.781)	Data 0.001 (0.013)	Loss 3.0941 (2.7385)	Prec@1 27.344 (34.736)	Prec@5 57.812 (64.882)
Epoch: [21][340/14090]	Time 0.734 (0.780)	Data 0.001 (0.012)	Loss 2.8543 (2.7407)	Prec@1 33.594 (34.684)	Prec@5 62.500 (64.855)
Epoch: [21][350/14090]	Time 0.732 (0.780)	Data 0.001 (0.012)	Loss 2.6292 (2.7415)	Prec@1 29.688 (34.671)	Prec@5 66.406 (64.835)
Epoch: [21][360/14090]	Time 0.755 (0.780)	Data 0.001 (0.012)	Loss 2.6907 (2.7414)	Prec@1 36.719 (34.637)	Prec@5 64.062 (64.861)
Epoch: [21][370/14090]	Time 0.763 (0.779)	Data 0.001 (0.012)	Loss 2.5699 (2.7403)	Prec@1 42.969 (34.586)	Prec@5 67.969 (64.888)
Epoch: [21][380/14090]	Time 0.757 (0.779)	Data 0.001 (0.011)	Loss 2.7442 (2.7380)	Prec@1 35.156 (34.633)	Prec@5 66.406 (64.934)
Epoch: [21][390/14090]	Time 0.771 (0.779)	Data 0.001 (0.011)	Loss 2.7130 (2.7356)	Prec@1 34.375 (34.675)	Prec@5 67.188 (64.996)
Epoch: [21][400/14090]	Time 0.857 (0.779)	Data 0.001 (0.011)	Loss 2.9070 (2.7362)	Prec@1 32.031 (34.648)	Prec@5 62.500 (64.980)
Epoch: [21][410/14090]	Time 0.734 (0.778)	Data 0.001 (0.011)	Loss 2.8221 (2.7355)	Prec@1 32.812 (34.704)	Prec@5 65.625 (65.003)
Epoch: [21][420/14090]	Time 0.734 (0.778)	Data 0.001 (0.010)	Loss 2.6825 (2.7369)	Prec@1 32.812 (34.689)	Prec@5 66.406 (64.976)
Epoch: [21][430/14090]	Time 0.767 (0.777)	Data 0.001 (0.010)	Loss 2.5558 (2.7363)	Prec@1 39.844 (34.698)	Prec@5 69.531 (64.987)
Epoch: [21][440/14090]	Time 0.762 (0.777)	Data 0.001 (0.010)	Loss 2.9124 (2.7380)	Prec@1 34.375 (34.674)	Prec@5 61.719 (64.946)
Epoch: [21][450/14090]	Time 0.750 (0.777)	Data 0.001 (0.010)	Loss 2.9842 (2.7392)	Prec@1 35.156 (34.635)	Prec@5 61.719 (64.941)
Epoch: [21][460/14090]	Time 0.731 (0.777)	Data 0.001 (0.009)	Loss 2.9534 (2.7411)	Prec@1 32.812 (34.583)	Prec@5 57.812 (64.903)
Epoch: [21][470/14090]	Time 0.850 (0.777)	Data 0.001 (0.009)	Loss 2.8867 (2.7404)	Prec@1 33.594 (34.609)	Prec@5 64.844 (64.933)
Epoch: [21][480/14090]	Time 0.758 (0.777)	Data 0.001 (0.009)	Loss 2.8025 (2.7381)	Prec@1 35.156 (34.648)	Prec@5 60.156 (64.928)
Epoch: [21][490/14090]	Time 0.741 (0.776)	Data 0.001 (0.009)	Loss 2.8468 (2.7397)	Prec@1 29.688 (34.625)	Prec@5 61.719 (64.882)
Epoch: [21][500/14090]	Time 0.770 (0.776)	Data 0.001 (0.009)	Loss 2.2267 (2.7371)	Prec@1 42.188 (34.695)	Prec@5 75.781 (64.930)
Epoch: [21][510/14090]	Time 0.733 (0.776)	Data 0.001 (0.009)	Loss 2.9383 (2.7382)	Prec@1 34.375 (34.722)	Prec@5 63.281 (64.945)
Epoch: [21][520/14090]	Time 0.729 (0.776)	Data 0.001 (0.008)	Loss 2.4305 (2.7392)	Prec@1 46.094 (34.723)	Prec@5 67.188 (64.920)
Epoch: [21][530/14090]	Time 0.745 (0.775)	Data 0.001 (0.008)	Loss 2.6980 (2.7393)	Prec@1 33.594 (34.700)	Prec@5 67.188 (64.925)
Epoch: [21][540/14090]	Time 0.835 (0.775)	Data 0.001 (0.008)	Loss 2.5904 (2.7382)	Prec@1 36.719 (34.706)	Prec@5 64.844 (64.954)
Epoch: [21][550/14090]	Time 0.741 (0.775)	Data 0.001 (0.008)	Loss 2.6307 (2.7384)	Prec@1 38.281 (34.707)	Prec@5 65.625 (64.946)
Epoch: [21][560/14090]	Time 0.770 (0.775)	Data 0.001 (0.008)	Loss 2.6008 (2.7374)	Prec@1 32.812 (34.729)	Prec@5 64.062 (64.965)
Epoch: [21][570/14090]	Time 0.724 (0.775)	Data 0.001 (0.008)	Loss 2.7856 (2.7380)	Prec@1 34.375 (34.732)	Prec@5 64.062 (64.960)
Epoch: [21][580/14090]	Time 0.783 (0.775)	Data 0.001 (0.008)	Loss 2.9194 (2.7387)	Prec@1 30.469 (34.718)	Prec@5 62.500 (64.953)
Epoch: [21][590/14090]	Time 0.762 (0.775)	Data 0.001 (0.008)	Loss 2.4177 (2.7381)	Prec@1 33.594 (34.717)	Prec@5 74.219 (64.992)
Epoch: [21][600/14090]	Time 0.779 (0.775)	Data 0.001 (0.007)	Loss 2.9326 (2.7386)	Prec@1 30.469 (34.717)	Prec@5 64.844 (64.976)
Epoch: [21][610/14090]	Time 0.874 (0.775)	Data 0.001 (0.007)	Loss 2.8017 (2.7388)	Prec@1 32.812 (34.710)	Prec@5 60.156 (64.951)
Epoch: [21][620/14090]	Time 0.755 (0.775)	Data 0.001 (0.007)	Loss 2.7372 (2.7393)	Prec@1 32.812 (34.711)	Prec@5 64.062 (64.933)
Epoch: [21][630/14090]	Time 0.722 (0.775)	Data 0.001 (0.007)	Loss 2.5362 (2.7393)	Prec@1 37.500 (34.698)	Prec@5 69.531 (64.934)
Epoch: [21][640/14090]	Time 0.752 (0.775)	Data 0.001 (0.007)	Loss 2.5702 (2.7382)	Prec@1 39.844 (34.698)	Prec@5 68.750 (64.961)
Epoch: [21][650/14090]	Time 0.734 (0.775)	Data 0.001 (0.007)	Loss 2.5978 (2.7375)	Prec@1 34.375 (34.698)	Prec@5 66.406 (64.958)
Epoch: [21][660/14090]	Time 0.727 (0.775)	Data 0.003 (0.007)	Loss 2.4177 (2.7369)	Prec@1 39.062 (34.720)	Prec@5 67.969 (64.952)
Epoch: [21][670/14090]	Time 0.733 (0.774)	Data 0.001 (0.007)	Loss 2.6363 (2.7369)	Prec@1 35.938 (34.706)	Prec@5 66.406 (64.949)
Epoch: [21][680/14090]	Time 0.877 (0.775)	Data 0.001 (0.007)	Loss 2.9572 (2.7369)	Prec@1 32.031 (34.696)	Prec@5 65.625 (64.929)
Epoch: [21][690/14090]	Time 0.746 (0.774)	Data 0.001 (0.007)	Loss 2.7185 (2.7374)	Prec@1 35.938 (34.689)	Prec@5 64.844 (64.906)
Epoch: [21][700/14090]	Time 0.736 (0.774)	Data 0.001 (0.007)	Loss 2.6580 (2.7375)	Prec@1 33.594 (34.655)	Prec@5 64.062 (64.887)
Epoch: [21][710/14090]	Time 0.759 (0.774)	Data 0.001 (0.006)	Loss 2.4069 (2.7362)	Prec@1 43.750 (34.699)	Prec@5 70.312 (64.906)
Epoch: [21][720/14090]	Time 0.737 (0.774)	Data 0.001 (0.006)	Loss 2.8238 (2.7359)	Prec@1 27.344 (34.710)	Prec@5 62.500 (64.928)
Epoch: [21][730/14090]	Time 0.728 (0.774)	Data 0.001 (0.006)	Loss 3.0357 (2.7364)	Prec@1 34.375 (34.714)	Prec@5 61.719 (64.930)
Epoch: [21][740/14090]	Time 0.753 (0.774)	Data 0.001 (0.006)	Loss 3.0369 (2.7367)	Prec@1 30.469 (34.679)	Prec@5 58.594 (64.904)
Epoch: [21][750/14090]	Time 0.941 (0.775)	Data 0.001 (0.006)	Loss 2.5572 (2.7368)	Prec@1 40.625 (34.685)	Prec@5 69.531 (64.916)
Epoch: [21][760/14090]	Time 0.759 (0.774)	Data 0.001 (0.006)	Loss 2.7582 (2.7370)	Prec@1 35.938 (34.674)	Prec@5 64.062 (64.919)
Epoch: [21][770/14090]	Time 0.750 (0.774)	Data 0.001 (0.006)	Loss 2.7515 (2.7376)	Prec@1 35.938 (34.658)	Prec@5 67.188 (64.905)
Epoch: [21][780/14090]	Time 0.739 (0.774)	Data 0.001 (0.006)	Loss 2.8307 (2.7377)	Prec@1 35.156 (34.662)	Prec@5 60.156 (64.897)
Epoch: [21][790/14090]	Time 0.753 (0.774)	Data 0.001 (0.006)	Loss 2.8927 (2.7390)	Prec@1 34.375 (34.640)	Prec@5 61.719 (64.890)
Epoch: [21][800/14090]	Time 0.739 (0.774)	Data 0.001 (0.006)	Loss 2.6785 (2.7390)	Prec@1 34.375 (34.642)	Prec@5 72.656 (64.914)
Epoch: [21][810/14090]	Time 0.740 (0.774)	Data 0.001 (0.006)	Loss 2.5481 (2.7394)	Prec@1 36.719 (34.625)	Prec@5 67.969 (64.899)
Epoch: [21][820/14090]	Time 0.836 (0.774)	Data 0.001 (0.006)	Loss 3.1913 (2.7401)	Prec@1 27.344 (34.615)	Prec@5 52.344 (64.888)
Epoch: [21][830/14090]	Time 0.770 (0.774)	Data 0.001 (0.006)	Loss 2.7276 (2.7406)	Prec@1 38.281 (34.613)	Prec@5 63.281 (64.885)
Epoch: [21][840/14090]	Time 0.768 (0.774)	Data 0.001 (0.006)	Loss 3.1360 (2.7407)	Prec@1 26.562 (34.624)	Prec@5 57.812 (64.883)
Epoch: [21][850/14090]	Time 0.751 (0.774)	Data 0.001 (0.006)	Loss 2.6985 (2.7406)	Prec@1 32.031 (34.630)	Prec@5 64.062 (64.887)
Epoch: [21][860/14090]	Time 0.747 (0.774)	Data 0.004 (0.005)	Loss 2.5229 (2.7404)	Prec@1 40.625 (34.638)	Prec@5 67.188 (64.881)
Epoch: [21][870/14090]	Time 0.749 (0.774)	Data 0.001 (0.005)	Loss 2.7918 (2.7410)	Prec@1 31.250 (34.626)	Prec@5 65.625 (64.877)
Epoch: [21][880/14090]	Time 0.761 (0.774)	Data 0.001 (0.005)	Loss 2.6151 (2.7406)	Prec@1 32.031 (34.634)	Prec@5 66.406 (64.877)
Epoch: [21][890/14090]	Time 0.870 (0.774)	Data 0.001 (0.005)	Loss 3.1594 (2.7425)	Prec@1 32.031 (34.605)	Prec@5 55.469 (64.858)
Epoch: [21][900/14090]	Time 0.785 (0.774)	Data 0.001 (0.005)	Loss 2.7377 (2.7424)	Prec@1 34.375 (34.598)	Prec@5 65.625 (64.869)
Epoch: [21][910/14090]	Time 0.739 (0.774)	Data 0.001 (0.005)	Loss 2.8184 (2.7424)	Prec@1 34.375 (34.598)	Prec@5 61.719 (64.876)
Epoch: [21][920/14090]	Time 0.735 (0.774)	Data 0.001 (0.005)	Loss 2.9350 (2.7420)	Prec@1 27.344 (34.615)	Prec@5 61.719 (64.878)
Epoch: [21][930/14090]	Time 0.770 (0.774)	Data 0.001 (0.005)	Loss 2.7725 (2.7416)	Prec@1 27.344 (34.608)	Prec@5 65.625 (64.887)
Epoch: [21][940/14090]	Time 0.767 (0.774)	Data 0.001 (0.005)	Loss 2.3894 (2.7410)	Prec@1 39.844 (34.611)	Prec@5 73.438 (64.902)
Epoch: [21][950/14090]	Time 0.746 (0.774)	Data 0.001 (0.005)	Loss 2.5430 (2.7404)	Prec@1 40.625 (34.621)	Prec@5 65.625 (64.913)
Epoch: [21][960/14090]	Time 0.849 (0.774)	Data 0.001 (0.005)	Loss 2.6733 (2.7397)	Prec@1 32.812 (34.619)	Prec@5 67.969 (64.936)
Epoch: [21][970/14090]	Time 0.723 (0.774)	Data 0.001 (0.005)	Loss 2.6758 (2.7398)	Prec@1 33.594 (34.628)	Prec@5 65.625 (64.928)
Epoch: [21][980/14090]	Time 0.755 (0.774)	Data 0.001 (0.005)	Loss 2.8413 (2.7396)	Prec@1 31.250 (34.629)	Prec@5 60.938 (64.919)
Epoch: [21][990/14090]	Time 0.731 (0.774)	Data 0.001 (0.005)	Loss 2.6478 (2.7408)	Prec@1 38.281 (34.613)	Prec@5 69.531 (64.908)
Epoch: [21][1000/14090]	Time 0.753 (0.774)	Data 0.001 (0.005)	Loss 2.8019 (2.7408)	Prec@1 30.469 (34.606)	Prec@5 60.156 (64.907)
Epoch: [21][1010/14090]	Time 0.749 (0.774)	Data 0.001 (0.005)	Loss 2.6399 (2.7393)	Prec@1 31.250 (34.637)	Prec@5 70.312 (64.939)
Epoch: [21][1020/14090]	Time 0.803 (0.774)	Data 0.001 (0.005)	Loss 3.0073 (2.7395)	Prec@1 35.156 (34.628)	Prec@5 57.031 (64.934)
Epoch: [21][1030/14090]	Time 0.822 (0.773)	Data 0.001 (0.005)	Loss 2.6178 (2.7396)	Prec@1 35.938 (34.628)	Prec@5 70.312 (64.933)
Epoch: [21][1040/14090]	Time 0.753 (0.773)	Data 0.001 (0.005)	Loss 2.8840 (2.7394)	Prec@1 30.469 (34.630)	Prec@5 63.281 (64.932)
Epoch: [21][1050/14090]	Time 0.759 (0.773)	Data 0.001 (0.005)	Loss 2.6852 (2.7391)	Prec@1 32.812 (34.631)	Prec@5 66.406 (64.934)
Epoch: [21][1060/14090]	Time 0.746 (0.773)	Data 0.001 (0.005)	Loss 2.9142 (2.7400)	Prec@1 27.344 (34.612)	Prec@5 61.719 (64.917)
Epoch: [21][1070/14090]	Time 0.765 (0.773)	Data 0.001 (0.005)	Loss 2.9751 (2.7398)	Prec@1 34.375 (34.611)	Prec@5 56.250 (64.916)
Epoch: [21][1080/14090]	Time 0.721 (0.773)	Data 0.001 (0.005)	Loss 2.8894 (2.7397)	Prec@1 33.594 (34.624)	Prec@5 58.594 (64.917)
Epoch: [21][1090/14090]	Time 0.753 (0.773)	Data 0.001 (0.005)	Loss 2.6718 (2.7395)	Prec@1 36.719 (34.621)	Prec@5 64.062 (64.924)
Epoch: [21][1100/14090]	Time 0.887 (0.773)	Data 0.001 (0.004)	Loss 2.6312 (2.7394)	Prec@1 36.719 (34.613)	Prec@5 67.969 (64.942)
Epoch: [21][1110/14090]	Time 0.731 (0.773)	Data 0.001 (0.004)	Loss 2.5012 (2.7392)	Prec@1 38.281 (34.621)	Prec@5 68.750 (64.960)
Epoch: [21][1120/14090]	Time 0.766 (0.773)	Data 0.001 (0.004)	Loss 2.9969 (2.7394)	Prec@1 28.125 (34.617)	Prec@5 60.938 (64.964)
Epoch: [21][1130/14090]	Time 0.741 (0.773)	Data 0.001 (0.004)	Loss 2.9215 (2.7392)	Prec@1 28.125 (34.625)	Prec@5 58.594 (64.966)
Epoch: [21][1140/14090]	Time 0.737 (0.773)	Data 0.001 (0.004)	Loss 2.8407 (2.7396)	Prec@1 32.812 (34.623)	Prec@5 59.375 (64.957)
Epoch: [21][1150/14090]	Time 0.763 (0.773)	Data 0.001 (0.004)	Loss 3.0027 (2.7403)	Prec@1 33.594 (34.619)	Prec@5 53.906 (64.932)
Epoch: [21][1160/14090]	Time 0.747 (0.773)	Data 0.001 (0.004)	Loss 2.7982 (2.7407)	Prec@1 33.594 (34.599)	Prec@5 61.719 (64.931)
Epoch: [21][1170/14090]	Time 0.940 (0.773)	Data 0.001 (0.004)	Loss 2.6245 (2.7413)	Prec@1 35.938 (34.585)	Prec@5 67.188 (64.906)
Epoch: [21][1180/14090]	Time 0.783 (0.773)	Data 0.001 (0.004)	Loss 2.7814 (2.7415)	Prec@1 35.938 (34.590)	Prec@5 62.500 (64.892)
Epoch: [21][1190/14090]	Time 0.781 (0.773)	Data 0.001 (0.004)	Loss 2.8866 (2.7409)	Prec@1 28.125 (34.607)	Prec@5 64.844 (64.895)
Epoch: [21][1200/14090]	Time 0.763 (0.773)	Data 0.001 (0.004)	Loss 2.6555 (2.7411)	Prec@1 32.031 (34.597)	Prec@5 65.625 (64.893)
Epoch: [21][1210/14090]	Time 0.757 (0.773)	Data 0.001 (0.004)	Loss 2.4613 (2.7415)	Prec@1 37.500 (34.589)	Prec@5 73.438 (64.893)
Epoch: [21][1220/14090]	Time 0.741 (0.773)	Data 0.001 (0.004)	Loss 3.0751 (2.7421)	Prec@1 25.781 (34.569)	Prec@5 56.250 (64.887)
Epoch: [21][1230/14090]	Time 0.760 (0.773)	Data 0.001 (0.004)	Loss 2.6948 (2.7426)	Prec@1 33.594 (34.558)	Prec@5 67.969 (64.876)
Epoch: [21][1240/14090]	Time 0.857 (0.773)	Data 0.001 (0.004)	Loss 2.8346 (2.7428)	Prec@1 35.938 (34.547)	Prec@5 58.594 (64.866)
Epoch: [21][1250/14090]	Time 0.756 (0.773)	Data 0.001 (0.004)	Loss 2.7814 (2.7436)	Prec@1 31.250 (34.522)	Prec@5 63.281 (64.854)
Epoch: [21][1260/14090]	Time 0.734 (0.773)	Data 0.001 (0.004)	Loss 2.8859 (2.7439)	Prec@1 37.500 (34.527)	Prec@5 61.719 (64.844)
Epoch: [21][1270/14090]	Time 0.741 (0.773)	Data 0.001 (0.004)	Loss 2.7479 (2.7439)	Prec@1 35.156 (34.519)	Prec@5 64.844 (64.843)
Epoch: [21][1280/14090]	Time 0.738 (0.773)	Data 0.002 (0.004)	Loss 2.7336 (2.7442)	Prec@1 36.719 (34.513)	Prec@5 70.312 (64.846)
Epoch: [21][1290/14090]	Time 0.731 (0.773)	Data 0.001 (0.004)	Loss 2.7840 (2.7442)	Prec@1 32.812 (34.505)	Prec@5 62.500 (64.841)
Epoch: [21][1300/14090]	Time 0.726 (0.773)	Data 0.001 (0.004)	Loss 2.7110 (2.7455)	Prec@1 31.250 (34.481)	Prec@5 69.531 (64.821)
Epoch: [21][1310/14090]	Time 0.888 (0.773)	Data 0.001 (0.004)	Loss 2.6771 (2.7459)	Prec@1 32.812 (34.468)	Prec@5 65.625 (64.813)
Epoch: [21][1320/14090]	Time 0.737 (0.773)	Data 0.001 (0.004)	Loss 2.6370 (2.7457)	Prec@1 31.250 (34.462)	Prec@5 73.438 (64.825)
Epoch: [21][1330/14090]	Time 0.744 (0.773)	Data 0.001 (0.004)	Loss 2.5657 (2.7459)	Prec@1 32.812 (34.455)	Prec@5 71.094 (64.817)
Epoch: [21][1340/14090]	Time 0.761 (0.773)	Data 0.001 (0.004)	Loss 2.8734 (2.7459)	Prec@1 35.938 (34.475)	Prec@5 63.281 (64.809)
Epoch: [21][1350/14090]	Time 0.763 (0.773)	Data 0.001 (0.004)	Loss 2.5821 (2.7469)	Prec@1 35.938 (34.461)	Prec@5 65.625 (64.796)
Epoch: [21][1360/14090]	Time 0.764 (0.773)	Data 0.001 (0.004)	Loss 2.5072 (2.7462)	Prec@1 35.938 (34.474)	Prec@5 69.531 (64.804)
Epoch: [21][1370/14090]	Time 0.735 (0.773)	Data 0.001 (0.004)	Loss 2.8495 (2.7461)	Prec@1 34.375 (34.472)	Prec@5 60.938 (64.804)
Epoch: [21][1380/14090]	Time 0.841 (0.772)	Data 0.001 (0.004)	Loss 2.7512 (2.7459)	Prec@1 32.812 (34.469)	Prec@5 67.969 (64.814)
Epoch: [21][1390/14090]	Time 0.736 (0.772)	Data 0.001 (0.004)	Loss 3.0195 (2.7456)	Prec@1 28.125 (34.473)	Prec@5 60.156 (64.822)
Epoch: [21][1400/14090]	Time 0.754 (0.772)	Data 0.001 (0.004)	Loss 2.5065 (2.7450)	Prec@1 39.062 (34.490)	Prec@5 74.219 (64.841)
Epoch: [21][1410/14090]	Time 0.731 (0.772)	Data 0.001 (0.004)	Loss 2.7629 (2.7448)	Prec@1 34.375 (34.487)	Prec@5 62.500 (64.852)
Epoch: [21][1420/14090]	Time 0.756 (0.772)	Data 0.001 (0.004)	Loss 2.7970 (2.7447)	Prec@1 35.156 (34.488)	Prec@5 63.281 (64.853)
Epoch: [21][1430/14090]	Time 0.755 (0.772)	Data 0.001 (0.004)	Loss 2.7899 (2.7446)	Prec@1 35.156 (34.492)	Prec@5 63.281 (64.857)
Epoch: [21][1440/14090]	Time 0.756 (0.772)	Data 0.001 (0.004)	Loss 2.6041 (2.7449)	Prec@1 33.594 (34.497)	Prec@5 74.219 (64.861)
Epoch: [21][1450/14090]	Time 0.886 (0.772)	Data 0.001 (0.004)	Loss 2.8866 (2.7449)	Prec@1 30.469 (34.498)	Prec@5 60.156 (64.859)
Epoch: [21][1460/14090]	Time 0.736 (0.772)	Data 0.001 (0.004)	Loss 2.9204 (2.7454)	Prec@1 35.156 (34.497)	Prec@5 67.969 (64.845)
Epoch: [21][1470/14090]	Time 0.748 (0.772)	Data 0.001 (0.004)	Loss 2.7443 (2.7446)	Prec@1 38.281 (34.513)	Prec@5 61.719 (64.867)
Epoch: [21][1480/14090]	Time 0.748 (0.772)	Data 0.001 (0.004)	Loss 2.6289 (2.7443)	Prec@1 32.812 (34.522)	Prec@5 63.281 (64.875)
Epoch: [21][1490/14090]	Time 0.762 (0.772)	Data 0.001 (0.004)	Loss 3.1117 (2.7446)	Prec@1 27.344 (34.511)	Prec@5 55.469 (64.867)
Epoch: [21][1500/14090]	Time 0.767 (0.772)	Data 0.001 (0.004)	Loss 2.5835 (2.7444)	Prec@1 40.625 (34.516)	Prec@5 64.844 (64.871)
Epoch: [21][1510/14090]	Time 0.756 (0.772)	Data 0.002 (0.004)	Loss 2.5932 (2.7447)	Prec@1 33.594 (34.518)	Prec@5 69.531 (64.871)
Epoch: [21][1520/14090]	Time 0.840 (0.772)	Data 0.001 (0.003)	Loss 2.9973 (2.7453)	Prec@1 29.688 (34.509)	Prec@5 59.375 (64.852)
Epoch: [21][1530/14090]	Time 0.756 (0.772)	Data 0.001 (0.003)	Loss 2.6271 (2.7451)	Prec@1 37.500 (34.505)	Prec@5 67.969 (64.861)
Epoch: [21][1540/14090]	Time 0.764 (0.772)	Data 0.001 (0.003)	Loss 2.7907 (2.7454)	Prec@1 34.375 (34.492)	Prec@5 64.844 (64.853)
Epoch: [21][1550/14090]	Time 0.791 (0.772)	Data 0.001 (0.003)	Loss 2.6447 (2.7457)	Prec@1 34.375 (34.480)	Prec@5 64.062 (64.846)
Epoch: [21][1560/14090]	Time 0.745 (0.772)	Data 0.001 (0.003)	Loss 2.8803 (2.7458)	Prec@1 23.438 (34.479)	Prec@5 61.719 (64.856)
Epoch: [21][1570/14090]	Time 0.749 (0.772)	Data 0.001 (0.003)	Loss 2.8711 (2.7464)	Prec@1 34.375 (34.457)	Prec@5 63.281 (64.848)
Epoch: [21][1580/14090]	Time 0.746 (0.772)	Data 0.001 (0.003)	Loss 2.3771 (2.7457)	Prec@1 39.062 (34.467)	Prec@5 74.219 (64.864)
Epoch: [21][1590/14090]	Time 0.862 (0.772)	Data 0.001 (0.003)	Loss 2.7088 (2.7454)	Prec@1 36.719 (34.468)	Prec@5 66.406 (64.873)
Epoch: [21][1600/14090]	Time 0.739 (0.772)	Data 0.001 (0.003)	Loss 2.9760 (2.7454)	Prec@1 32.812 (34.467)	Prec@5 60.156 (64.877)
Epoch: [21][1610/14090]	Time 0.749 (0.772)	Data 0.001 (0.003)	Loss 2.6348 (2.7454)	Prec@1 35.156 (34.461)	Prec@5 70.312 (64.885)
Epoch: [21][1620/14090]	Time 0.751 (0.772)	Data 0.001 (0.003)	Loss 2.9112 (2.7451)	Prec@1 34.375 (34.476)	Prec@5 67.188 (64.897)
Epoch: [21][1630/14090]	Time 0.751 (0.772)	Data 0.001 (0.003)	Loss 2.2092 (2.7447)	Prec@1 47.656 (34.489)	Prec@5 78.125 (64.903)
Epoch: [21][1640/14090]	Time 0.765 (0.772)	Data 0.001 (0.003)	Loss 2.7672 (2.7448)	Prec@1 38.281 (34.490)	Prec@5 57.812 (64.896)
Epoch: [21][1650/14090]	Time 0.727 (0.772)	Data 0.001 (0.003)	Loss 2.6847 (2.7448)	Prec@1 36.719 (34.486)	Prec@5 64.062 (64.896)
Epoch: [21][1660/14090]	Time 0.831 (0.772)	Data 0.001 (0.003)	Loss 2.6045 (2.7448)	Prec@1 39.062 (34.489)	Prec@5 70.312 (64.896)
Epoch: [21][1670/14090]	Time 0.755 (0.772)	Data 0.001 (0.003)	Loss 2.3352 (2.7445)	Prec@1 43.750 (34.493)	Prec@5 76.562 (64.900)
Epoch: [21][1680/14090]	Time 0.751 (0.772)	Data 0.001 (0.003)	Loss 2.6076 (2.7450)	Prec@1 38.281 (34.486)	Prec@5 65.625 (64.890)
Epoch: [21][1690/14090]	Time 0.755 (0.772)	Data 0.001 (0.003)	Loss 2.8436 (2.7451)	Prec@1 32.812 (34.479)	Prec@5 63.281 (64.886)
Epoch: [21][1700/14090]	Time 0.731 (0.772)	Data 0.001 (0.003)	Loss 2.9620 (2.7452)	Prec@1 32.812 (34.477)	Prec@5 59.375 (64.883)
Epoch: [21][1710/14090]	Time 0.727 (0.772)	Data 0.001 (0.003)	Loss 2.9486 (2.7454)	Prec@1 28.125 (34.482)	Prec@5 64.062 (64.881)
Epoch: [21][1720/14090]	Time 0.726 (0.772)	Data 0.001 (0.003)	Loss 2.6413 (2.7461)	Prec@1 39.844 (34.476)	Prec@5 65.625 (64.866)
Epoch: [21][1730/14090]	Time 0.868 (0.772)	Data 0.001 (0.003)	Loss 2.6147 (2.7462)	Prec@1 36.719 (34.461)	Prec@5 65.625 (64.870)
Epoch: [21][1740/14090]	Time 0.769 (0.772)	Data 0.001 (0.003)	Loss 2.5578 (2.7461)	Prec@1 39.062 (34.455)	Prec@5 71.875 (64.873)
Epoch: [21][1750/14090]	Time 0.760 (0.772)	Data 0.001 (0.003)	Loss 2.6683 (2.7462)	Prec@1 38.281 (34.455)	Prec@5 64.844 (64.868)
Epoch: [21][1760/14090]	Time 0.738 (0.772)	Data 0.001 (0.003)	Loss 2.8724 (2.7462)	Prec@1 27.344 (34.451)	Prec@5 64.062 (64.867)
Epoch: [21][1770/14090]	Time 0.772 (0.772)	Data 0.001 (0.003)	Loss 2.4665 (2.7462)	Prec@1 39.062 (34.453)	Prec@5 66.406 (64.859)
Epoch: [21][1780/14090]	Time 0.729 (0.772)	Data 0.001 (0.003)	Loss 3.0006 (2.7470)	Prec@1 29.688 (34.440)	Prec@5 57.812 (64.841)
Epoch: [21][1790/14090]	Time 0.739 (0.772)	Data 0.001 (0.003)	Loss 2.9496 (2.7475)	Prec@1 32.031 (34.432)	Prec@5 64.844 (64.837)
Epoch: [21][1800/14090]	Time 0.892 (0.772)	Data 0.001 (0.003)	Loss 3.1536 (2.7481)	Prec@1 28.125 (34.423)	Prec@5 54.688 (64.828)
Epoch: [21][1810/14090]	Time 0.779 (0.772)	Data 0.001 (0.003)	Loss 2.5762 (2.7477)	Prec@1 39.062 (34.434)	Prec@5 67.188 (64.834)
Epoch: [21][1820/14090]	Time 0.728 (0.772)	Data 0.001 (0.003)	Loss 2.3901 (2.7472)	Prec@1 38.281 (34.442)	Prec@5 72.656 (64.848)
Epoch: [21][1830/14090]	Time 0.739 (0.772)	Data 0.001 (0.003)	Loss 2.7500 (2.7473)	Prec@1 34.375 (34.437)	Prec@5 62.500 (64.850)
Epoch: [21][1840/14090]	Time 0.762 (0.772)	Data 0.001 (0.003)	Loss 2.5158 (2.7473)	Prec@1 46.094 (34.444)	Prec@5 67.188 (64.853)
Epoch: [21][1850/14090]	Time 0.751 (0.772)	Data 0.001 (0.003)	Loss 2.7514 (2.7471)	Prec@1 31.250 (34.452)	Prec@5 63.281 (64.858)
Epoch: [21][1860/14090]	Time 0.736 (0.772)	Data 0.001 (0.003)	Loss 2.7697 (2.7469)	Prec@1 38.281 (34.461)	Prec@5 65.625 (64.856)
Epoch: [21][1870/14090]	Time 0.882 (0.772)	Data 0.001 (0.003)	Loss 2.6851 (2.7473)	Prec@1 32.031 (34.460)	Prec@5 65.625 (64.842)
Epoch: [21][1880/14090]	Time 0.737 (0.772)	Data 0.001 (0.003)	Loss 2.8184 (2.7470)	Prec@1 34.375 (34.459)	Prec@5 65.625 (64.851)
Epoch: [21][1890/14090]	Time 0.780 (0.772)	Data 0.001 (0.003)	Loss 3.1138 (2.7468)	Prec@1 28.125 (34.465)	Prec@5 54.688 (64.853)
Epoch: [21][1900/14090]	Time 0.757 (0.772)	Data 0.001 (0.003)	Loss 2.7481 (2.7468)	Prec@1 27.344 (34.461)	Prec@5 67.188 (64.854)
Epoch: [21][1910/14090]	Time 0.781 (0.772)	Data 0.001 (0.003)	Loss 2.7081 (2.7467)	Prec@1 34.375 (34.467)	Prec@5 67.969 (64.861)
Epoch: [21][1920/14090]	Time 0.759 (0.772)	Data 0.001 (0.003)	Loss 2.8059 (2.7468)	Prec@1 31.250 (34.468)	Prec@5 64.062 (64.850)
Epoch: [21][1930/14090]	Time 0.740 (0.772)	Data 0.001 (0.003)	Loss 2.3492 (2.7467)	Prec@1 39.062 (34.466)	Prec@5 78.125 (64.857)
Epoch: [21][1940/14090]	Time 0.878 (0.772)	Data 0.001 (0.003)	Loss 2.7415 (2.7464)	Prec@1 35.156 (34.475)	Prec@5 70.312 (64.859)
Epoch: [21][1950/14090]	Time 0.736 (0.772)	Data 0.001 (0.003)	Loss 2.9670 (2.7462)	Prec@1 30.469 (34.473)	Prec@5 57.031 (64.864)
Epoch: [21][1960/14090]	Time 0.747 (0.771)	Data 0.001 (0.003)	Loss 2.6178 (2.7462)	Prec@1 38.281 (34.477)	Prec@5 65.625 (64.857)
Epoch: [21][1970/14090]	Time 0.740 (0.771)	Data 0.001 (0.003)	Loss 2.6783 (2.7459)	Prec@1 37.500 (34.476)	Prec@5 69.531 (64.858)
Epoch: [21][1980/14090]	Time 0.729 (0.771)	Data 0.001 (0.003)	Loss 2.6321 (2.7462)	Prec@1 32.812 (34.469)	Prec@5 65.625 (64.851)
Epoch: [21][1990/14090]	Time 0.748 (0.771)	Data 0.001 (0.003)	Loss 2.8280 (2.7464)	Prec@1 33.594 (34.468)	Prec@5 63.281 (64.842)
Epoch: [21][2000/14090]	Time 0.759 (0.771)	Data 0.001 (0.003)	Loss 2.6473 (2.7466)	Prec@1 38.281 (34.465)	Prec@5 67.969 (64.838)
Epoch: [21][2010/14090]	Time 0.892 (0.771)	Data 0.001 (0.003)	Loss 2.9104 (2.7467)	Prec@1 34.375 (34.474)	Prec@5 62.500 (64.840)
Epoch: [21][2020/14090]	Time 0.743 (0.771)	Data 0.001 (0.003)	Loss 2.7051 (2.7468)	Prec@1 36.719 (34.475)	Prec@5 67.969 (64.837)
Epoch: [21][2030/14090]	Time 0.761 (0.771)	Data 0.001 (0.003)	Loss 2.5590 (2.7462)	Prec@1 35.156 (34.479)	Prec@5 70.312 (64.855)
Epoch: [21][2040/14090]	Time 0.753 (0.771)	Data 0.001 (0.003)	Loss 2.9509 (2.7466)	Prec@1 29.688 (34.466)	Prec@5 60.156 (64.847)
Epoch: [21][2050/14090]	Time 0.761 (0.771)	Data 0.001 (0.003)	Loss 2.6889 (2.7467)	Prec@1 35.938 (34.468)	Prec@5 64.844 (64.843)
Epoch: [21][2060/14090]	Time 0.741 (0.771)	Data 0.001 (0.003)	Loss 2.7980 (2.7468)	Prec@1 38.281 (34.476)	Prec@5 61.719 (64.841)
Epoch: [21][2070/14090]	Time 0.788 (0.771)	Data 0.001 (0.003)	Loss 2.9595 (2.7471)	Prec@1 30.469 (34.470)	Prec@5 60.938 (64.837)
Epoch: [21][2080/14090]	Time 1.005 (0.771)	Data 0.001 (0.003)	Loss 2.6889 (2.7468)	Prec@1 32.031 (34.471)	Prec@5 62.500 (64.841)
Epoch: [21][2090/14090]	Time 0.744 (0.771)	Data 0.001 (0.003)	Loss 2.8302 (2.7468)	Prec@1 30.469 (34.471)	Prec@5 62.500 (64.837)
Epoch: [21][2100/14090]	Time 0.755 (0.771)	Data 0.001 (0.003)	Loss 2.9815 (2.7471)	Prec@1 33.594 (34.469)	Prec@5 62.500 (64.834)
Epoch: [21][2110/14090]	Time 0.770 (0.771)	Data 0.001 (0.003)	Loss 2.7403 (2.7474)	Prec@1 34.375 (34.463)	Prec@5 64.844 (64.833)
Epoch: [21][2120/14090]	Time 0.758 (0.771)	Data 0.001 (0.003)	Loss 2.7816 (2.7473)	Prec@1 31.250 (34.467)	Prec@5 67.188 (64.837)
Epoch: [21][2130/14090]	Time 0.753 (0.771)	Data 0.001 (0.003)	Loss 2.6412 (2.7477)	Prec@1 42.188 (34.463)	Prec@5 67.969 (64.831)
Epoch: [21][2140/14090]	Time 0.739 (0.771)	Data 0.001 (0.003)	Loss 3.2542 (2.7479)	Prec@1 28.125 (34.455)	Prec@5 57.031 (64.830)
Epoch: [21][2150/14090]	Time 0.886 (0.771)	Data 0.001 (0.003)	Loss 2.6387 (2.7477)	Prec@1 35.156 (34.451)	Prec@5 67.969 (64.836)
Epoch: [21][2160/14090]	Time 0.748 (0.771)	Data 0.001 (0.003)	Loss 2.5238 (2.7474)	Prec@1 39.062 (34.459)	Prec@5 67.969 (64.840)
Epoch: [21][2170/14090]	Time 0.739 (0.771)	Data 0.001 (0.003)	Loss 2.8463 (2.7473)	Prec@1 28.125 (34.458)	Prec@5 62.500 (64.842)
Epoch: [21][2180/14090]	Time 0.745 (0.771)	Data 0.001 (0.003)	Loss 2.8212 (2.7477)	Prec@1 33.594 (34.458)	Prec@5 63.281 (64.838)
Epoch: [21][2190/14090]	Time 0.770 (0.771)	Data 0.001 (0.003)	Loss 2.8267 (2.7479)	Prec@1 32.031 (34.457)	Prec@5 65.625 (64.832)
Epoch: [21][2200/14090]	Time 0.760 (0.771)	Data 0.001 (0.003)	Loss 2.9111 (2.7481)	Prec@1 30.469 (34.456)	Prec@5 64.062 (64.832)
Epoch: [21][2210/14090]	Time 0.753 (0.771)	Data 0.001 (0.003)	Loss 2.7108 (2.7479)	Prec@1 36.719 (34.456)	Prec@5 63.281 (64.828)
Epoch: [21][2220/14090]	Time 0.875 (0.771)	Data 0.001 (0.003)	Loss 2.8271 (2.7485)	Prec@1 31.250 (34.446)	Prec@5 63.281 (64.823)
Epoch: [21][2230/14090]	Time 0.767 (0.771)	Data 0.001 (0.003)	Loss 2.9245 (2.7486)	Prec@1 28.125 (34.443)	Prec@5 64.062 (64.826)
Epoch: [21][2240/14090]	Time 0.756 (0.771)	Data 0.001 (0.003)	Loss 2.7497 (2.7485)	Prec@1 35.156 (34.447)	Prec@5 61.719 (64.823)
Epoch: [21][2250/14090]	Time 0.779 (0.771)	Data 0.001 (0.003)	Loss 2.6588 (2.7485)	Prec@1 37.500 (34.448)	Prec@5 64.844 (64.826)
Epoch: [21][2260/14090]	Time 0.764 (0.771)	Data 0.001 (0.003)	Loss 2.6708 (2.7485)	Prec@1 32.031 (34.442)	Prec@5 64.062 (64.825)
Epoch: [21][2270/14090]	Time 0.757 (0.771)	Data 0.001 (0.003)	Loss 2.6213 (2.7483)	Prec@1 33.594 (34.442)	Prec@5 69.531 (64.823)
Epoch: [21][2280/14090]	Time 0.762 (0.771)	Data 0.001 (0.003)	Loss 3.0939 (2.7487)	Prec@1 31.250 (34.434)	Prec@5 53.906 (64.823)
Epoch: [21][2290/14090]	Time 1.007 (0.771)	Data 0.001 (0.003)	Loss 3.0330 (2.7486)	Prec@1 30.469 (34.429)	Prec@5 60.156 (64.819)
Epoch: [21][2300/14090]	Time 0.736 (0.771)	Data 0.001 (0.003)	Loss 2.7624 (2.7486)	Prec@1 35.156 (34.426)	Prec@5 61.719 (64.820)
Epoch: [21][2310/14090]	Time 0.747 (0.771)	Data 0.001 (0.003)	Loss 2.6938 (2.7485)	Prec@1 35.156 (34.430)	Prec@5 64.844 (64.819)
Epoch: [21][2320/14090]	Time 0.728 (0.771)	Data 0.001 (0.003)	Loss 2.4418 (2.7485)	Prec@1 37.500 (34.432)	Prec@5 72.656 (64.821)
Epoch: [21][2330/14090]	Time 0.733 (0.771)	Data 0.001 (0.003)	Loss 2.7240 (2.7487)	Prec@1 36.719 (34.427)	Prec@5 65.625 (64.818)
Epoch: [21][2340/14090]	Time 0.761 (0.771)	Data 0.001 (0.003)	Loss 2.6592 (2.7490)	Prec@1 37.500 (34.423)	Prec@5 67.969 (64.809)
Epoch: [21][2350/14090]	Time 0.761 (0.771)	Data 0.001 (0.003)	Loss 2.9207 (2.7494)	Prec@1 28.125 (34.407)	Prec@5 59.375 (64.794)
Epoch: [21][2360/14090]	Time 0.860 (0.771)	Data 0.001 (0.003)	Loss 2.7673 (2.7496)	Prec@1 39.844 (34.410)	Prec@5 63.281 (64.793)
Epoch: [21][2370/14090]	Time 0.751 (0.771)	Data 0.001 (0.003)	Loss 2.9207 (2.7492)	Prec@1 31.250 (34.416)	Prec@5 65.625 (64.800)
Epoch: [21][2380/14090]	Time 0.734 (0.771)	Data 0.001 (0.003)	Loss 2.5806 (2.7492)	Prec@1 40.625 (34.423)	Prec@5 67.188 (64.789)
Epoch: [21][2390/14090]	Time 0.760 (0.771)	Data 0.001 (0.003)	Loss 2.6592 (2.7491)	Prec@1 31.250 (34.428)	Prec@5 61.719 (64.790)
Epoch: [21][2400/14090]	Time 0.762 (0.771)	Data 0.001 (0.003)	Loss 2.9006 (2.7496)	Prec@1 25.781 (34.413)	Prec@5 59.375 (64.781)
Epoch: [21][2410/14090]	Time 0.730 (0.771)	Data 0.001 (0.003)	Loss 2.8779 (2.7497)	Prec@1 39.844 (34.417)	Prec@5 62.500 (64.771)
Epoch: [21][2420/14090]	Time 0.737 (0.771)	Data 0.001 (0.003)	Loss 2.8306 (2.7498)	Prec@1 30.469 (34.409)	Prec@5 59.375 (64.763)
Epoch: [21][2430/14090]	Time 0.889 (0.771)	Data 0.001 (0.003)	Loss 2.8101 (2.7499)	Prec@1 33.594 (34.404)	Prec@5 66.406 (64.758)
Epoch: [21][2440/14090]	Time 0.738 (0.771)	Data 0.001 (0.003)	Loss 2.5973 (2.7498)	Prec@1 32.031 (34.402)	Prec@5 68.750 (64.763)
Epoch: [21][2450/14090]	Time 0.741 (0.771)	Data 0.001 (0.003)	Loss 2.5208 (2.7498)	Prec@1 38.281 (34.395)	Prec@5 64.844 (64.763)
Epoch: [21][2460/14090]	Time 0.753 (0.771)	Data 0.001 (0.003)	Loss 2.7119 (2.7501)	Prec@1 39.062 (34.391)	Prec@5 63.281 (64.755)
Epoch: [21][2470/14090]	Time 0.781 (0.771)	Data 0.001 (0.002)	Loss 3.0326 (2.7498)	Prec@1 30.469 (34.403)	Prec@5 64.062 (64.763)
Epoch: [21][2480/14090]	Time 0.764 (0.771)	Data 0.001 (0.002)	Loss 2.3727 (2.7495)	Prec@1 39.062 (34.408)	Prec@5 67.969 (64.772)
Epoch: [21][2490/14090]	Time 0.744 (0.771)	Data 0.001 (0.002)	Loss 3.1146 (2.7498)	Prec@1 33.594 (34.408)	Prec@5 60.938 (64.766)
Epoch: [21][2500/14090]	Time 0.881 (0.771)	Data 0.001 (0.002)	Loss 2.7197 (2.7496)	Prec@1 33.594 (34.405)	Prec@5 67.969 (64.775)
Epoch: [21][2510/14090]	Time 0.751 (0.771)	Data 0.001 (0.002)	Loss 2.9907 (2.7498)	Prec@1 30.469 (34.403)	Prec@5 58.594 (64.775)
Epoch: [21][2520/14090]	Time 0.761 (0.771)	Data 0.001 (0.002)	Loss 2.8131 (2.7499)	Prec@1 34.375 (34.400)	Prec@5 61.719 (64.771)
Epoch: [21][2530/14090]	Time 0.748 (0.771)	Data 0.001 (0.002)	Loss 2.6254 (2.7500)	Prec@1 38.281 (34.404)	Prec@5 73.438 (64.775)
Epoch: [21][2540/14090]	Time 0.785 (0.771)	Data 0.001 (0.002)	Loss 2.5303 (2.7500)	Prec@1 39.062 (34.401)	Prec@5 68.750 (64.775)
Epoch: [21][2550/14090]	Time 0.763 (0.771)	Data 0.001 (0.002)	Loss 2.4831 (2.7497)	Prec@1 35.156 (34.405)	Prec@5 70.312 (64.784)
Epoch: [21][2560/14090]	Time 0.744 (0.771)	Data 0.001 (0.002)	Loss 2.6067 (2.7498)	Prec@1 39.062 (34.401)	Prec@5 72.656 (64.786)
Epoch: [21][2570/14090]	Time 0.912 (0.771)	Data 0.001 (0.002)	Loss 2.5183 (2.7495)	Prec@1 42.969 (34.405)	Prec@5 67.969 (64.792)
Epoch: [21][2580/14090]	Time 0.747 (0.771)	Data 0.001 (0.002)	Loss 2.9031 (2.7494)	Prec@1 36.719 (34.410)	Prec@5 62.500 (64.798)
Epoch: [21][2590/14090]	Time 0.771 (0.771)	Data 0.001 (0.002)	Loss 2.8496 (2.7496)	Prec@1 31.250 (34.408)	Prec@5 64.062 (64.794)
Epoch: [21][2600/14090]	Time 0.757 (0.771)	Data 0.001 (0.002)	Loss 2.9981 (2.7498)	Prec@1 31.250 (34.400)	Prec@5 56.250 (64.787)
Epoch: [21][2610/14090]	Time 0.735 (0.771)	Data 0.001 (0.002)	Loss 2.6756 (2.7497)	Prec@1 32.812 (34.396)	Prec@5 63.281 (64.791)
Epoch: [21][2620/14090]	Time 0.754 (0.771)	Data 0.001 (0.002)	Loss 2.6030 (2.7493)	Prec@1 34.375 (34.406)	Prec@5 67.188 (64.797)
Epoch: [21][2630/14090]	Time 0.731 (0.771)	Data 0.001 (0.002)	Loss 2.8771 (2.7490)	Prec@1 32.031 (34.406)	Prec@5 64.062 (64.805)
Epoch: [21][2640/14090]	Time 0.878 (0.771)	Data 0.001 (0.002)	Loss 2.6295 (2.7492)	Prec@1 35.156 (34.401)	Prec@5 67.188 (64.799)
Epoch: [21][2650/14090]	Time 0.742 (0.771)	Data 0.001 (0.002)	Loss 2.9188 (2.7493)	Prec@1 31.250 (34.401)	Prec@5 57.812 (64.797)
Epoch: [21][2660/14090]	Time 0.744 (0.771)	Data 0.001 (0.002)	Loss 2.7346 (2.7492)	Prec@1 31.250 (34.398)	Prec@5 67.969 (64.804)
Epoch: [21][2670/14090]	Time 0.734 (0.771)	Data 0.001 (0.002)	Loss 2.6665 (2.7488)	Prec@1 39.062 (34.405)	Prec@5 69.531 (64.807)
Epoch: [21][2680/14090]	Time 0.782 (0.771)	Data 0.001 (0.002)	Loss 3.2161 (2.7488)	Prec@1 25.781 (34.401)	Prec@5 56.250 (64.805)
Epoch: [21][2690/14090]	Time 0.764 (0.771)	Data 0.001 (0.002)	Loss 2.7656 (2.7490)	Prec@1 34.375 (34.398)	Prec@5 65.625 (64.801)
Epoch: [21][2700/14090]	Time 0.756 (0.771)	Data 0.001 (0.002)	Loss 2.6318 (2.7489)	Prec@1 34.375 (34.406)	Prec@5 68.750 (64.804)
Epoch: [21][2710/14090]	Time 0.871 (0.771)	Data 0.001 (0.002)	Loss 2.6758 (2.7490)	Prec@1 35.156 (34.400)	Prec@5 64.062 (64.798)
Epoch: [21][2720/14090]	Time 0.743 (0.771)	Data 0.001 (0.002)	Loss 3.0488 (2.7491)	Prec@1 33.594 (34.397)	Prec@5 63.281 (64.801)
Epoch: [21][2730/14090]	Time 0.744 (0.771)	Data 0.001 (0.002)	Loss 2.8929 (2.7494)	Prec@1 35.938 (34.399)	Prec@5 60.156 (64.797)
Epoch: [21][2740/14090]	Time 0.777 (0.771)	Data 0.001 (0.002)	Loss 2.6975 (2.7492)	Prec@1 37.500 (34.400)	Prec@5 63.281 (64.790)
Epoch: [21][2750/14090]	Time 0.753 (0.771)	Data 0.001 (0.002)	Loss 2.7404 (2.7493)	Prec@1 30.469 (34.398)	Prec@5 68.750 (64.786)
Epoch: [21][2760/14090]	Time 0.742 (0.771)	Data 0.001 (0.002)	Loss 2.5479 (2.7490)	Prec@1 35.938 (34.397)	Prec@5 67.969 (64.791)
Epoch: [21][2770/14090]	Time 0.760 (0.771)	Data 0.001 (0.002)	Loss 2.6181 (2.7491)	Prec@1 39.844 (34.396)	Prec@5 65.625 (64.792)
Epoch: [21][2780/14090]	Time 0.909 (0.771)	Data 0.001 (0.002)	Loss 2.8180 (2.7493)	Prec@1 32.031 (34.392)	Prec@5 62.500 (64.786)
Epoch: [21][2790/14090]	Time 0.788 (0.771)	Data 0.001 (0.002)	Loss 2.9477 (2.7493)	Prec@1 33.594 (34.393)	Prec@5 63.281 (64.794)
Epoch: [21][2800/14090]	Time 0.734 (0.771)	Data 0.001 (0.002)	Loss 2.9577 (2.7492)	Prec@1 34.375 (34.392)	Prec@5 60.938 (64.795)
Epoch: [21][2810/14090]	Time 0.766 (0.771)	Data 0.001 (0.002)	Loss 2.8758 (2.7492)	Prec@1 37.500 (34.396)	Prec@5 62.500 (64.794)
Epoch: [21][2820/14090]	Time 0.749 (0.771)	Data 0.001 (0.002)	Loss 2.9872 (2.7493)	Prec@1 27.344 (34.395)	Prec@5 59.375 (64.790)
Epoch: [21][2830/14090]	Time 0.742 (0.771)	Data 0.001 (0.002)	Loss 2.5855 (2.7490)	Prec@1 38.281 (34.406)	Prec@5 67.969 (64.799)
Epoch: [21][2840/14090]	Time 0.760 (0.771)	Data 0.001 (0.002)	Loss 2.7003 (2.7490)	Prec@1 33.594 (34.410)	Prec@5 64.844 (64.798)
Epoch: [21][2850/14090]	Time 0.868 (0.771)	Data 0.001 (0.002)	Loss 2.6476 (2.7492)	Prec@1 37.500 (34.412)	Prec@5 68.750 (64.793)
Epoch: [21][2860/14090]	Time 0.748 (0.771)	Data 0.001 (0.002)	Loss 2.4514 (2.7491)	Prec@1 40.625 (34.416)	Prec@5 70.312 (64.797)
Epoch: [21][2870/14090]	Time 0.768 (0.771)	Data 0.001 (0.002)	Loss 3.0160 (2.7494)	Prec@1 28.906 (34.414)	Prec@5 57.812 (64.794)
Epoch: [21][2880/14090]	Time 0.781 (0.771)	Data 0.001 (0.002)	Loss 2.6503 (2.7494)	Prec@1 35.938 (34.412)	Prec@5 67.188 (64.790)
Epoch: [21][2890/14090]	Time 0.783 (0.771)	Data 0.001 (0.002)	Loss 2.5287 (2.7494)	Prec@1 38.281 (34.411)	Prec@5 68.750 (64.790)
Epoch: [21][2900/14090]	Time 0.768 (0.771)	Data 0.001 (0.002)	Loss 2.6690 (2.7494)	Prec@1 38.281 (34.414)	Prec@5 65.625 (64.793)
Epoch: [21][2910/14090]	Time 0.778 (0.771)	Data 0.001 (0.002)	Loss 2.8462 (2.7491)	Prec@1 34.375 (34.423)	Prec@5 61.719 (64.801)
Epoch: [21][2920/14090]	Time 0.910 (0.771)	Data 0.001 (0.002)	Loss 2.6131 (2.7489)	Prec@1 40.625 (34.428)	Prec@5 64.062 (64.808)
Epoch: [21][2930/14090]	Time 0.743 (0.771)	Data 0.001 (0.002)	Loss 2.7427 (2.7486)	Prec@1 35.938 (34.436)	Prec@5 65.625 (64.813)
Epoch: [21][2940/14090]	Time 0.751 (0.771)	Data 0.001 (0.002)	Loss 2.7812 (2.7487)	Prec@1 35.156 (34.438)	Prec@5 64.062 (64.811)
Epoch: [21][2950/14090]	Time 0.729 (0.771)	Data 0.001 (0.002)	Loss 2.8470 (2.7489)	Prec@1 26.562 (34.435)	Prec@5 65.625 (64.806)
Epoch: [21][2960/14090]	Time 0.727 (0.771)	Data 0.001 (0.002)	Loss 2.8439 (2.7488)	Prec@1 32.031 (34.431)	Prec@5 64.844 (64.813)
Epoch: [21][2970/14090]	Time 0.756 (0.771)	Data 0.001 (0.002)	Loss 2.6178 (2.7489)	Prec@1 36.719 (34.436)	Prec@5 68.750 (64.818)
Epoch: [21][2980/14090]	Time 0.747 (0.771)	Data 0.001 (0.002)	Loss 2.4346 (2.7490)	Prec@1 39.844 (34.434)	Prec@5 76.562 (64.816)
Epoch: [21][2990/14090]	Time 0.865 (0.771)	Data 0.003 (0.002)	Loss 2.9926 (2.7493)	Prec@1 35.156 (34.434)	Prec@5 60.938 (64.814)
Epoch: [21][3000/14090]	Time 0.768 (0.771)	Data 0.001 (0.002)	Loss 2.6354 (2.7493)	Prec@1 36.719 (34.433)	Prec@5 70.312 (64.818)
Epoch: [21][3010/14090]	Time 0.775 (0.771)	Data 0.001 (0.002)	Loss 2.5750 (2.7493)	Prec@1 42.969 (34.434)	Prec@5 68.750 (64.821)
Epoch: [21][3020/14090]	Time 0.743 (0.771)	Data 0.001 (0.002)	Loss 2.4520 (2.7493)	Prec@1 36.719 (34.432)	Prec@5 73.438 (64.816)
Epoch: [21][3030/14090]	Time 0.754 (0.771)	Data 0.001 (0.002)	Loss 2.6690 (2.7496)	Prec@1 37.500 (34.433)	Prec@5 64.844 (64.809)
Epoch: [21][3040/14090]	Time 0.756 (0.771)	Data 0.001 (0.002)	Loss 2.8152 (2.7496)	Prec@1 33.594 (34.437)	Prec@5 66.406 (64.814)
Epoch: [21][3050/14090]	Time 0.742 (0.771)	Data 0.001 (0.002)	Loss 2.8234 (2.7497)	Prec@1 34.375 (34.437)	Prec@5 64.844 (64.815)
Epoch: [21][3060/14090]	Time 0.923 (0.771)	Data 0.001 (0.002)	Loss 2.7731 (2.7495)	Prec@1 30.469 (34.445)	Prec@5 67.188 (64.824)
Epoch: [21][3070/14090]	Time 0.778 (0.771)	Data 0.001 (0.002)	Loss 2.7944 (2.7493)	Prec@1 34.375 (34.451)	Prec@5 67.188 (64.832)
Epoch: [21][3080/14090]	Time 0.769 (0.771)	Data 0.001 (0.002)	Loss 2.9992 (2.7493)	Prec@1 32.031 (34.454)	Prec@5 58.594 (64.827)
Epoch: [21][3090/14090]	Time 0.731 (0.771)	Data 0.001 (0.002)	Loss 2.8006 (2.7492)	Prec@1 33.594 (34.454)	Prec@5 61.719 (64.827)
Epoch: [21][3100/14090]	Time 0.788 (0.771)	Data 0.001 (0.002)	Loss 2.9492 (2.7493)	Prec@1 32.812 (34.457)	Prec@5 63.281 (64.829)
Epoch: [21][3110/14090]	Time 0.756 (0.771)	Data 0.001 (0.002)	Loss 2.4221 (2.7493)	Prec@1 40.625 (34.456)	Prec@5 74.219 (64.834)
Epoch: [21][3120/14090]	Time 0.734 (0.771)	Data 0.001 (0.002)	Loss 2.7445 (2.7494)	Prec@1 35.156 (34.454)	Prec@5 69.531 (64.832)
Epoch: [21][3130/14090]	Time 0.913 (0.771)	Data 0.001 (0.002)	Loss 3.1142 (2.7497)	Prec@1 25.781 (34.451)	Prec@5 53.125 (64.825)
Epoch: [21][3140/14090]	Time 0.740 (0.771)	Data 0.001 (0.002)	Loss 2.7798 (2.7495)	Prec@1 34.375 (34.454)	Prec@5 67.188 (64.828)
Epoch: [21][3150/14090]	Time 0.735 (0.771)	Data 0.001 (0.002)	Loss 2.7031 (2.7494)	Prec@1 34.375 (34.457)	Prec@5 64.062 (64.831)
Epoch: [21][3160/14090]	Time 0.780 (0.771)	Data 0.001 (0.002)	Loss 2.8788 (2.7491)	Prec@1 31.250 (34.464)	Prec@5 61.719 (64.837)
Epoch: [21][3170/14090]	Time 0.735 (0.771)	Data 0.001 (0.002)	Loss 2.8936 (2.7495)	Prec@1 35.156 (34.458)	Prec@5 62.500 (64.828)
Epoch: [21][3180/14090]	Time 0.748 (0.771)	Data 0.001 (0.002)	Loss 2.7486 (2.7495)	Prec@1 36.719 (34.461)	Prec@5 67.188 (64.824)
Epoch: [21][3190/14090]	Time 0.736 (0.771)	Data 0.001 (0.002)	Loss 2.9270 (2.7497)	Prec@1 29.688 (34.462)	Prec@5 62.500 (64.819)
Epoch: [21][3200/14090]	Time 0.861 (0.771)	Data 0.001 (0.002)	Loss 2.6482 (2.7496)	Prec@1 36.719 (34.468)	Prec@5 66.406 (64.819)
Epoch: [21][3210/14090]	Time 0.724 (0.771)	Data 0.001 (0.002)	Loss 2.8463 (2.7497)	Prec@1 34.375 (34.464)	Prec@5 63.281 (64.816)
Epoch: [21][3220/14090]	Time 0.781 (0.771)	Data 0.001 (0.002)	Loss 2.8802 (2.7499)	Prec@1 31.250 (34.458)	Prec@5 59.375 (64.809)
Epoch: [21][3230/14090]	Time 0.764 (0.771)	Data 0.001 (0.002)	Loss 2.8106 (2.7498)	Prec@1 35.938 (34.460)	Prec@5 60.156 (64.810)
Epoch: [21][3240/14090]	Time 0.774 (0.771)	Data 0.001 (0.002)	Loss 2.6953 (2.7498)	Prec@1 35.938 (34.460)	Prec@5 66.406 (64.810)
Epoch: [21][3250/14090]	Time 0.761 (0.771)	Data 0.001 (0.002)	Loss 2.7235 (2.7499)	Prec@1 30.469 (34.453)	Prec@5 68.750 (64.806)
Epoch: [21][3260/14090]	Time 0.740 (0.771)	Data 0.001 (0.002)	Loss 2.6668 (2.7498)	Prec@1 38.281 (34.449)	Prec@5 66.406 (64.807)
Epoch: [21][3270/14090]	Time 0.874 (0.771)	Data 0.001 (0.002)	Loss 2.4938 (2.7498)	Prec@1 39.062 (34.452)	Prec@5 66.406 (64.810)
Epoch: [21][3280/14090]	Time 0.731 (0.771)	Data 0.001 (0.002)	Loss 2.7307 (2.7496)	Prec@1 35.938 (34.451)	Prec@5 63.281 (64.816)
Epoch: [21][3290/14090]	Time 0.747 (0.771)	Data 0.001 (0.002)	Loss 2.7409 (2.7499)	Prec@1 31.250 (34.448)	Prec@5 64.062 (64.807)
Epoch: [21][3300/14090]	Time 0.747 (0.771)	Data 0.001 (0.002)	Loss 2.9127 (2.7501)	Prec@1 25.000 (34.444)	Prec@5 63.281 (64.804)
Epoch: [21][3310/14090]	Time 0.725 (0.771)	Data 0.001 (0.002)	Loss 2.7756 (2.7502)	Prec@1 35.156 (34.439)	Prec@5 66.406 (64.807)
Epoch: [21][3320/14090]	Time 0.747 (0.771)	Data 0.001 (0.002)	Loss 2.7593 (2.7503)	Prec@1 35.938 (34.439)	Prec@5 63.281 (64.802)
Epoch: [21][3330/14090]	Time 0.776 (0.771)	Data 0.001 (0.002)	Loss 2.7006 (2.7503)	Prec@1 37.500 (34.439)	Prec@5 67.188 (64.806)
Epoch: [21][3340/14090]	Time 0.877 (0.771)	Data 0.001 (0.002)	Loss 2.7204 (2.7500)	Prec@1 29.688 (34.438)	Prec@5 65.625 (64.806)
Epoch: [21][3350/14090]	Time 0.756 (0.771)	Data 0.003 (0.002)	Loss 2.8848 (2.7501)	Prec@1 34.375 (34.436)	Prec@5 67.969 (64.807)
Epoch: [21][3360/14090]	Time 0.749 (0.771)	Data 0.001 (0.002)	Loss 2.7858 (2.7503)	Prec@1 34.375 (34.432)	Prec@5 66.406 (64.805)
Epoch: [21][3370/14090]	Time 0.745 (0.771)	Data 0.001 (0.002)	Loss 3.0542 (2.7504)	Prec@1 33.594 (34.434)	Prec@5 59.375 (64.802)
Epoch: [21][3380/14090]	Time 0.771 (0.771)	Data 0.001 (0.002)	Loss 2.9818 (2.7503)	Prec@1 30.469 (34.433)	Prec@5 63.281 (64.805)
Epoch: [21][3390/14090]	Time 0.750 (0.771)	Data 0.001 (0.002)	Loss 2.9114 (2.7504)	Prec@1 32.031 (34.434)	Prec@5 60.938 (64.800)
Epoch: [21][3400/14090]	Time 0.741 (0.771)	Data 0.001 (0.002)	Loss 2.7945 (2.7504)	Prec@1 38.281 (34.439)	Prec@5 62.500 (64.805)
Epoch: [21][3410/14090]	Time 0.854 (0.771)	Data 0.001 (0.002)	Loss 3.0425 (2.7505)	Prec@1 29.688 (34.438)	Prec@5 59.375 (64.804)
Epoch: [21][3420/14090]	Time 0.759 (0.771)	Data 0.001 (0.002)	Loss 2.5646 (2.7505)	Prec@1 40.625 (34.440)	Prec@5 67.969 (64.805)
Epoch: [21][3430/14090]	Time 0.759 (0.771)	Data 0.001 (0.002)	Loss 3.0059 (2.7506)	Prec@1 36.719 (34.435)	Prec@5 62.500 (64.805)
Epoch: [21][3440/14090]	Time 0.753 (0.771)	Data 0.001 (0.002)	Loss 2.7045 (2.7507)	Prec@1 32.031 (34.437)	Prec@5 65.625 (64.800)
Epoch: [21][3450/14090]	Time 0.772 (0.771)	Data 0.001 (0.002)	Loss 2.3887 (2.7504)	Prec@1 41.406 (34.443)	Prec@5 73.438 (64.809)
Epoch: [21][3460/14090]	Time 0.732 (0.771)	Data 0.001 (0.002)	Loss 2.5751 (2.7501)	Prec@1 37.500 (34.447)	Prec@5 71.094 (64.814)
Epoch: [21][3470/14090]	Time 0.775 (0.771)	Data 0.001 (0.002)	Loss 2.8276 (2.7501)	Prec@1 35.156 (34.451)	Prec@5 63.281 (64.816)
Epoch: [21][3480/14090]	Time 0.872 (0.771)	Data 0.001 (0.002)	Loss 2.7600 (2.7501)	Prec@1 29.688 (34.445)	Prec@5 62.500 (64.812)
Epoch: [21][3490/14090]	Time 0.749 (0.771)	Data 0.001 (0.002)	Loss 2.9958 (2.7503)	Prec@1 31.250 (34.441)	Prec@5 61.719 (64.808)
Epoch: [21][3500/14090]	Time 0.743 (0.771)	Data 0.001 (0.002)	Loss 3.0753 (2.7505)	Prec@1 32.812 (34.435)	Prec@5 54.688 (64.798)
Epoch: [21][3510/14090]	Time 0.764 (0.771)	Data 0.001 (0.002)	Loss 2.9759 (2.7507)	Prec@1 32.031 (34.430)	Prec@5 62.500 (64.794)
Epoch: [21][3520/14090]	Time 0.759 (0.771)	Data 0.001 (0.002)	Loss 2.4644 (2.7507)	Prec@1 39.844 (34.425)	Prec@5 68.750 (64.790)
Epoch: [21][3530/14090]	Time 0.744 (0.771)	Data 0.001 (0.002)	Loss 3.0860 (2.7509)	Prec@1 36.719 (34.426)	Prec@5 57.812 (64.785)
Epoch: [21][3540/14090]	Time 0.741 (0.771)	Data 0.001 (0.002)	Loss 2.7061 (2.7510)	Prec@1 32.812 (34.422)	Prec@5 64.844 (64.781)
Epoch: [21][3550/14090]	Time 0.837 (0.771)	Data 0.001 (0.002)	Loss 3.0486 (2.7509)	Prec@1 32.812 (34.423)	Prec@5 56.250 (64.780)
Epoch: [21][3560/14090]	Time 0.756 (0.771)	Data 0.001 (0.002)	Loss 2.6076 (2.7507)	Prec@1 39.062 (34.430)	Prec@5 67.188 (64.780)
Epoch: [21][3570/14090]	Time 0.732 (0.771)	Data 0.001 (0.002)	Loss 2.7539 (2.7507)	Prec@1 32.031 (34.427)	Prec@5 60.938 (64.778)
Epoch: [21][3580/14090]	Time 0.778 (0.771)	Data 0.001 (0.002)	Loss 2.5418 (2.7506)	Prec@1 38.281 (34.425)	Prec@5 67.969 (64.783)
Epoch: [21][3590/14090]	Time 0.740 (0.770)	Data 0.001 (0.002)	Loss 2.9060 (2.7507)	Prec@1 28.906 (34.422)	Prec@5 59.375 (64.774)
Epoch: [21][3600/14090]	Time 0.754 (0.771)	Data 0.001 (0.002)	Loss 2.7673 (2.7509)	Prec@1 35.938 (34.421)	Prec@5 62.500 (64.768)
Epoch: [21][3610/14090]	Time 0.752 (0.771)	Data 0.001 (0.002)	Loss 2.7572 (2.7509)	Prec@1 34.375 (34.426)	Prec@5 63.281 (64.769)
Epoch: [21][3620/14090]	Time 0.853 (0.771)	Data 0.001 (0.002)	Loss 2.4922 (2.7511)	Prec@1 38.281 (34.416)	Prec@5 70.312 (64.766)
Epoch: [21][3630/14090]	Time 0.776 (0.771)	Data 0.001 (0.002)	Loss 2.8178 (2.7514)	Prec@1 32.812 (34.412)	Prec@5 61.719 (64.762)
Epoch: [21][3640/14090]	Time 0.734 (0.771)	Data 0.001 (0.002)	Loss 2.8555 (2.7513)	Prec@1 39.062 (34.412)	Prec@5 62.500 (64.763)
Epoch: [21][3650/14090]	Time 0.783 (0.771)	Data 0.001 (0.002)	Loss 2.7080 (2.7511)	Prec@1 35.938 (34.417)	Prec@5 69.531 (64.768)
Epoch: [21][3660/14090]	Time 0.741 (0.771)	Data 0.001 (0.002)	Loss 2.7000 (2.7510)	Prec@1 35.156 (34.418)	Prec@5 66.406 (64.768)
Epoch: [21][3670/14090]	Time 0.763 (0.771)	Data 0.001 (0.002)	Loss 2.6594 (2.7509)	Prec@1 31.250 (34.416)	Prec@5 67.188 (64.772)
Epoch: [21][3680/14090]	Time 0.740 (0.771)	Data 0.001 (0.002)	Loss 2.6465 (2.7510)	Prec@1 37.500 (34.415)	Prec@5 64.844 (64.766)
Epoch: [21][3690/14090]	Time 0.898 (0.771)	Data 0.001 (0.002)	Loss 2.9411 (2.7511)	Prec@1 32.812 (34.409)	Prec@5 62.500 (64.761)
Epoch: [21][3700/14090]	Time 0.731 (0.771)	Data 0.001 (0.002)	Loss 2.8886 (2.7511)	Prec@1 34.375 (34.408)	Prec@5 55.469 (64.758)
Epoch: [21][3710/14090]	Time 0.771 (0.771)	Data 0.001 (0.002)	Loss 2.9121 (2.7510)	Prec@1 28.906 (34.410)	Prec@5 57.812 (64.758)
Epoch: [21][3720/14090]	Time 0.747 (0.771)	Data 0.001 (0.002)	Loss 2.7367 (2.7508)	Prec@1 30.469 (34.408)	Prec@5 56.250 (64.756)
Epoch: [21][3730/14090]	Time 0.782 (0.771)	Data 0.001 (0.002)	Loss 2.4597 (2.7508)	Prec@1 39.062 (34.410)	Prec@5 71.875 (64.759)
Epoch: [21][3740/14090]	Time 0.762 (0.771)	Data 0.002 (0.002)	Loss 2.8684 (2.7510)	Prec@1 34.375 (34.403)	Prec@5 64.062 (64.756)
Epoch: [21][3750/14090]	Time 0.773 (0.771)	Data 0.001 (0.002)	Loss 2.6068 (2.7510)	Prec@1 35.938 (34.403)	Prec@5 71.875 (64.762)
Epoch: [21][3760/14090]	Time 0.861 (0.771)	Data 0.001 (0.002)	Loss 2.9822 (2.7513)	Prec@1 28.906 (34.398)	Prec@5 55.469 (64.758)
Epoch: [21][3770/14090]	Time 0.755 (0.771)	Data 0.001 (0.002)	Loss 2.7934 (2.7514)	Prec@1 40.625 (34.393)	Prec@5 62.500 (64.757)
Epoch: [21][3780/14090]	Time 0.735 (0.770)	Data 0.001 (0.002)	Loss 2.3777 (2.7515)	Prec@1 36.719 (34.390)	Prec@5 78.125 (64.756)
Epoch: [21][3790/14090]	Time 0.730 (0.770)	Data 0.001 (0.002)	Loss 2.8167 (2.7514)	Prec@1 30.469 (34.386)	Prec@5 66.406 (64.758)
Epoch: [21][3800/14090]	Time 0.733 (0.770)	Data 0.001 (0.002)	Loss 2.7354 (2.7513)	Prec@1 29.688 (34.386)	Prec@5 63.281 (64.759)
Epoch: [21][3810/14090]	Time 0.730 (0.770)	Data 0.001 (0.002)	Loss 2.8363 (2.7511)	Prec@1 32.031 (34.391)	Prec@5 60.156 (64.763)
Epoch: [21][3820/14090]	Time 0.748 (0.770)	Data 0.001 (0.002)	Loss 2.8381 (2.7511)	Prec@1 34.375 (34.392)	Prec@5 60.938 (64.758)
Epoch: [21][3830/14090]	Time 0.862 (0.770)	Data 0.001 (0.002)	Loss 2.8117 (2.7511)	Prec@1 28.906 (34.395)	Prec@5 63.281 (64.758)
Epoch: [21][3840/14090]	Time 0.741 (0.770)	Data 0.001 (0.002)	Loss 2.8015 (2.7513)	Prec@1 28.906 (34.390)	Prec@5 64.844 (64.754)
Epoch: [21][3850/14090]	Time 0.756 (0.770)	Data 0.001 (0.002)	Loss 2.5716 (2.7513)	Prec@1 34.375 (34.385)	Prec@5 67.188 (64.754)
Epoch: [21][3860/14090]	Time 0.770 (0.770)	Data 0.001 (0.002)	Loss 3.0505 (2.7513)	Prec@1 25.000 (34.386)	Prec@5 61.719 (64.758)
Epoch: [21][3870/14090]	Time 0.722 (0.770)	Data 0.001 (0.002)	Loss 2.8640 (2.7513)	Prec@1 28.125 (34.384)	Prec@5 60.156 (64.756)
Epoch: [21][3880/14090]	Time 0.755 (0.770)	Data 0.001 (0.002)	Loss 2.8742 (2.7512)	Prec@1 32.812 (34.387)	Prec@5 61.719 (64.759)
Epoch: [21][3890/14090]	Time 0.751 (0.770)	Data 0.001 (0.002)	Loss 2.9671 (2.7513)	Prec@1 29.688 (34.385)	Prec@5 60.938 (64.757)
Epoch: [21][3900/14090]	Time 0.912 (0.770)	Data 0.001 (0.002)	Loss 2.5858 (2.7515)	Prec@1 37.500 (34.381)	Prec@5 64.062 (64.751)
Epoch: [21][3910/14090]	Time 0.735 (0.770)	Data 0.001 (0.002)	Loss 2.7375 (2.7517)	Prec@1 37.500 (34.380)	Prec@5 65.625 (64.747)
Epoch: [21][3920/14090]	Time 0.751 (0.770)	Data 0.001 (0.002)	Loss 2.8325 (2.7516)	Prec@1 30.469 (34.382)	Prec@5 65.625 (64.747)
Epoch: [21][3930/14090]	Time 0.763 (0.770)	Data 0.001 (0.002)	Loss 2.8002 (2.7515)	Prec@1 31.250 (34.386)	Prec@5 64.844 (64.751)
Epoch: [21][3940/14090]	Time 0.751 (0.770)	Data 0.001 (0.002)	Loss 2.7194 (2.7515)	Prec@1 38.281 (34.385)	Prec@5 66.406 (64.755)
Epoch: [21][3950/14090]	Time 0.733 (0.770)	Data 0.001 (0.002)	Loss 2.6625 (2.7513)	Prec@1 37.500 (34.386)	Prec@5 67.188 (64.761)
Epoch: [21][3960/14090]	Time 0.750 (0.770)	Data 0.001 (0.002)	Loss 3.0184 (2.7514)	Prec@1 26.562 (34.380)	Prec@5 60.156 (64.760)
Epoch: [21][3970/14090]	Time 0.884 (0.770)	Data 0.001 (0.002)	Loss 3.2119 (2.7515)	Prec@1 31.250 (34.379)	Prec@5 53.125 (64.759)
Epoch: [21][3980/14090]	Time 0.791 (0.770)	Data 0.001 (0.002)	Loss 2.7424 (2.7517)	Prec@1 38.281 (34.378)	Prec@5 68.750 (64.754)
Epoch: [21][3990/14090]	Time 0.774 (0.770)	Data 0.001 (0.002)	Loss 3.0246 (2.7519)	Prec@1 28.906 (34.374)	Prec@5 63.281 (64.749)
Epoch: [21][4000/14090]	Time 0.797 (0.770)	Data 0.001 (0.002)	Loss 2.8913 (2.7518)	Prec@1 28.906 (34.373)	Prec@5 57.031 (64.750)
Epoch: [21][4010/14090]	Time 0.776 (0.770)	Data 0.001 (0.002)	Loss 2.8816 (2.7520)	Prec@1 32.812 (34.371)	Prec@5 64.844 (64.746)
Epoch: [21][4020/14090]	Time 0.760 (0.770)	Data 0.001 (0.002)	Loss 2.6590 (2.7519)	Prec@1 35.156 (34.372)	Prec@5 65.625 (64.748)
Epoch: [21][4030/14090]	Time 0.748 (0.770)	Data 0.001 (0.002)	Loss 3.0632 (2.7523)	Prec@1 25.000 (34.361)	Prec@5 56.250 (64.738)
Epoch: [21][4040/14090]	Time 0.872 (0.770)	Data 0.001 (0.002)	Loss 2.8172 (2.7523)	Prec@1 32.031 (34.363)	Prec@5 60.156 (64.740)
Epoch: [21][4050/14090]	Time 0.760 (0.770)	Data 0.001 (0.002)	Loss 2.9576 (2.7525)	Prec@1 33.594 (34.360)	Prec@5 56.250 (64.735)
Epoch: [21][4060/14090]	Time 0.720 (0.770)	Data 0.001 (0.002)	Loss 2.6226 (2.7525)	Prec@1 35.938 (34.360)	Prec@5 67.969 (64.736)
Epoch: [21][4070/14090]	Time 0.780 (0.770)	Data 0.002 (0.002)	Loss 2.3966 (2.7524)	Prec@1 39.844 (34.362)	Prec@5 70.312 (64.740)
Epoch: [21][4080/14090]	Time 0.778 (0.770)	Data 0.001 (0.002)	Loss 2.7133 (2.7522)	Prec@1 38.281 (34.365)	Prec@5 65.625 (64.740)
Epoch: [21][4090/14090]	Time 0.726 (0.770)	Data 0.001 (0.002)	Loss 3.0450 (2.7522)	Prec@1 27.344 (34.364)	Prec@5 54.688 (64.738)
Epoch: [21][4100/14090]	Time 0.766 (0.770)	Data 0.001 (0.002)	Loss 2.7455 (2.7523)	Prec@1 36.719 (34.361)	Prec@5 65.625 (64.738)
Epoch: [21][4110/14090]	Time 0.857 (0.770)	Data 0.001 (0.002)	Loss 2.9725 (2.7522)	Prec@1 33.594 (34.361)	Prec@5 56.250 (64.740)
Epoch: [21][4120/14090]	Time 0.739 (0.770)	Data 0.001 (0.002)	Loss 2.7311 (2.7523)	Prec@1 35.938 (34.362)	Prec@5 64.844 (64.743)
Epoch: [21][4130/14090]	Time 0.743 (0.770)	Data 0.001 (0.002)	Loss 2.8207 (2.7525)	Prec@1 35.156 (34.363)	Prec@5 62.500 (64.740)
Epoch: [21][4140/14090]	Time 0.770 (0.770)	Data 0.001 (0.002)	Loss 2.8695 (2.7528)	Prec@1 29.688 (34.359)	Prec@5 64.062 (64.732)
Epoch: [21][4150/14090]	Time 0.742 (0.770)	Data 0.001 (0.002)	Loss 2.7054 (2.7531)	Prec@1 34.375 (34.353)	Prec@5 58.594 (64.725)
Epoch: [21][4160/14090]	Time 0.728 (0.770)	Data 0.001 (0.002)	Loss 2.7446 (2.7529)	Prec@1 34.375 (34.355)	Prec@5 64.844 (64.727)
Epoch: [21][4170/14090]	Time 0.764 (0.770)	Data 0.001 (0.002)	Loss 2.7406 (2.7528)	Prec@1 33.594 (34.358)	Prec@5 63.281 (64.730)
Epoch: [21][4180/14090]	Time 0.901 (0.770)	Data 0.001 (0.002)	Loss 2.8060 (2.7529)	Prec@1 40.625 (34.361)	Prec@5 65.625 (64.729)
Epoch: [21][4190/14090]	Time 0.746 (0.770)	Data 0.001 (0.002)	Loss 2.7611 (2.7529)	Prec@1 36.719 (34.365)	Prec@5 66.406 (64.731)
Epoch: [21][4200/14090]	Time 0.741 (0.770)	Data 0.001 (0.002)	Loss 2.6832 (2.7530)	Prec@1 34.375 (34.366)	Prec@5 64.844 (64.726)
Epoch: [21][4210/14090]	Time 0.761 (0.770)	Data 0.001 (0.002)	Loss 2.7278 (2.7529)	Prec@1 33.594 (34.371)	Prec@5 64.062 (64.728)
Epoch: [21][4220/14090]	Time 0.786 (0.770)	Data 0.001 (0.002)	Loss 2.6693 (2.7528)	Prec@1 34.375 (34.374)	Prec@5 65.625 (64.732)
Epoch: [21][4230/14090]	Time 0.780 (0.770)	Data 0.001 (0.002)	Loss 2.3669 (2.7527)	Prec@1 44.531 (34.379)	Prec@5 71.875 (64.735)
Epoch: [21][4240/14090]	Time 0.753 (0.770)	Data 0.001 (0.002)	Loss 2.5585 (2.7527)	Prec@1 35.156 (34.377)	Prec@5 64.844 (64.736)
Epoch: [21][4250/14090]	Time 0.867 (0.770)	Data 0.001 (0.002)	Loss 3.0306 (2.7528)	Prec@1 25.000 (34.376)	Prec@5 57.031 (64.735)
Epoch: [21][4260/14090]	Time 0.745 (0.770)	Data 0.001 (0.002)	Loss 2.7311 (2.7528)	Prec@1 27.344 (34.376)	Prec@5 68.750 (64.741)
Epoch: [21][4270/14090]	Time 0.770 (0.770)	Data 0.001 (0.002)	Loss 2.7593 (2.7528)	Prec@1 35.156 (34.377)	Prec@5 62.500 (64.738)
Epoch: [21][4280/14090]	Time 0.753 (0.770)	Data 0.001 (0.002)	Loss 2.3573 (2.7528)	Prec@1 48.438 (34.378)	Prec@5 72.656 (64.736)
Epoch: [21][4290/14090]	Time 0.742 (0.770)	Data 0.001 (0.002)	Loss 2.6685 (2.7528)	Prec@1 34.375 (34.380)	Prec@5 63.281 (64.736)
Epoch: [21][4300/14090]	Time 0.755 (0.770)	Data 0.001 (0.002)	Loss 2.5929 (2.7529)	Prec@1 36.719 (34.377)	Prec@5 66.406 (64.733)
Epoch: [21][4310/14090]	Time 0.748 (0.770)	Data 0.001 (0.002)	Loss 2.8548 (2.7528)	Prec@1 30.469 (34.376)	Prec@5 63.281 (64.731)
Epoch: [21][4320/14090]	Time 0.874 (0.770)	Data 0.001 (0.002)	Loss 2.6645 (2.7527)	Prec@1 35.938 (34.377)	Prec@5 67.969 (64.733)
Epoch: [21][4330/14090]	Time 0.752 (0.770)	Data 0.001 (0.002)	Loss 2.6040 (2.7526)	Prec@1 39.844 (34.378)	Prec@5 72.656 (64.737)
Epoch: [21][4340/14090]	Time 0.773 (0.770)	Data 0.001 (0.002)	Loss 2.8841 (2.7525)	Prec@1 29.688 (34.379)	Prec@5 60.938 (64.739)
Epoch: [21][4350/14090]	Time 0.734 (0.770)	Data 0.001 (0.002)	Loss 2.7976 (2.7525)	Prec@1 35.156 (34.379)	Prec@5 62.500 (64.740)
Epoch: [21][4360/14090]	Time 0.754 (0.770)	Data 0.001 (0.002)	Loss 2.7929 (2.7526)	Prec@1 39.844 (34.378)	Prec@5 64.062 (64.735)
Epoch: [21][4370/14090]	Time 0.754 (0.770)	Data 0.001 (0.002)	Loss 2.7806 (2.7525)	Prec@1 37.500 (34.376)	Prec@5 64.844 (64.735)
Epoch: [21][4380/14090]	Time 0.756 (0.770)	Data 0.001 (0.002)	Loss 2.5321 (2.7526)	Prec@1 37.500 (34.377)	Prec@5 71.094 (64.732)
Epoch: [21][4390/14090]	Time 0.862 (0.770)	Data 0.001 (0.002)	Loss 2.9105 (2.7528)	Prec@1 32.031 (34.373)	Prec@5 58.594 (64.726)
Epoch: [21][4400/14090]	Time 0.749 (0.770)	Data 0.001 (0.002)	Loss 2.5180 (2.7527)	Prec@1 39.844 (34.378)	Prec@5 65.625 (64.727)
Epoch: [21][4410/14090]	Time 0.775 (0.770)	Data 0.001 (0.002)	Loss 2.6415 (2.7528)	Prec@1 37.500 (34.378)	Prec@5 64.844 (64.725)
Epoch: [21][4420/14090]	Time 0.730 (0.770)	Data 0.001 (0.002)	Loss 2.4961 (2.7528)	Prec@1 42.969 (34.380)	Prec@5 71.094 (64.727)
Epoch: [21][4430/14090]	Time 0.785 (0.770)	Data 0.001 (0.002)	Loss 2.6870 (2.7528)	Prec@1 35.938 (34.381)	Prec@5 66.406 (64.724)
Epoch: [21][4440/14090]	Time 0.765 (0.770)	Data 0.001 (0.002)	Loss 2.6219 (2.7528)	Prec@1 35.938 (34.382)	Prec@5 64.062 (64.724)
Epoch: [21][4450/14090]	Time 0.773 (0.770)	Data 0.001 (0.002)	Loss 2.6392 (2.7527)	Prec@1 38.281 (34.386)	Prec@5 64.844 (64.726)
Epoch: [21][4460/14090]	Time 0.846 (0.770)	Data 0.001 (0.002)	Loss 2.5241 (2.7527)	Prec@1 42.188 (34.386)	Prec@5 68.750 (64.726)
Epoch: [21][4470/14090]	Time 0.750 (0.770)	Data 0.001 (0.002)	Loss 3.0196 (2.7528)	Prec@1 27.344 (34.383)	Prec@5 58.594 (64.723)
Epoch: [21][4480/14090]	Time 0.734 (0.770)	Data 0.001 (0.002)	Loss 2.7023 (2.7530)	Prec@1 34.375 (34.380)	Prec@5 67.188 (64.718)
Epoch: [21][4490/14090]	Time 0.738 (0.770)	Data 0.001 (0.002)	Loss 2.7690 (2.7529)	Prec@1 31.250 (34.378)	Prec@5 60.938 (64.717)
Epoch: [21][4500/14090]	Time 0.744 (0.770)	Data 0.001 (0.002)	Loss 3.0188 (2.7531)	Prec@1 32.031 (34.375)	Prec@5 58.594 (64.715)
Epoch: [21][4510/14090]	Time 0.743 (0.770)	Data 0.001 (0.002)	Loss 2.6782 (2.7531)	Prec@1 35.156 (34.375)	Prec@5 64.844 (64.712)
Epoch: [21][4520/14090]	Time 0.758 (0.770)	Data 0.001 (0.002)	Loss 2.7793 (2.7531)	Prec@1 32.812 (34.374)	Prec@5 68.750 (64.714)
Epoch: [21][4530/14090]	Time 0.871 (0.770)	Data 0.001 (0.002)	Loss 2.9378 (2.7531)	Prec@1 31.250 (34.370)	Prec@5 60.156 (64.709)
Epoch: [21][4540/14090]	Time 0.745 (0.770)	Data 0.001 (0.002)	Loss 2.8685 (2.7530)	Prec@1 31.250 (34.367)	Prec@5 58.594 (64.709)
Epoch: [21][4550/14090]	Time 0.768 (0.770)	Data 0.002 (0.002)	Loss 2.7822 (2.7532)	Prec@1 35.938 (34.365)	Prec@5 64.062 (64.705)
Epoch: [21][4560/14090]	Time 0.786 (0.770)	Data 0.001 (0.002)	Loss 2.8735 (2.7532)	Prec@1 30.469 (34.367)	Prec@5 66.406 (64.704)
Epoch: [21][4570/14090]	Time 0.751 (0.770)	Data 0.001 (0.002)	Loss 2.7425 (2.7532)	Prec@1 35.156 (34.368)	Prec@5 66.406 (64.703)
Epoch: [21][4580/14090]	Time 0.761 (0.770)	Data 0.001 (0.002)	Loss 2.5996 (2.7529)	Prec@1 35.938 (34.371)	Prec@5 68.750 (64.709)
Epoch: [21][4590/14090]	Time 0.738 (0.770)	Data 0.001 (0.002)	Loss 2.9605 (2.7530)	Prec@1 32.031 (34.367)	Prec@5 60.156 (64.706)
Epoch: [21][4600/14090]	Time 0.829 (0.770)	Data 0.001 (0.002)	Loss 2.5056 (2.7529)	Prec@1 38.281 (34.369)	Prec@5 71.094 (64.705)
Epoch: [21][4610/14090]	Time 0.726 (0.770)	Data 0.001 (0.002)	Loss 2.8615 (2.7530)	Prec@1 35.156 (34.373)	Prec@5 63.281 (64.702)
Epoch: [21][4620/14090]	Time 0.763 (0.770)	Data 0.001 (0.002)	Loss 2.9816 (2.7531)	Prec@1 28.906 (34.369)	Prec@5 57.812 (64.699)
Epoch: [21][4630/14090]	Time 0.734 (0.770)	Data 0.001 (0.002)	Loss 3.0738 (2.7531)	Prec@1 29.688 (34.368)	Prec@5 56.250 (64.701)
Epoch: [21][4640/14090]	Time 0.789 (0.770)	Data 0.001 (0.002)	Loss 2.8447 (2.7532)	Prec@1 33.594 (34.366)	Prec@5 59.375 (64.700)
Epoch: [21][4650/14090]	Time 0.737 (0.770)	Data 0.001 (0.002)	Loss 3.0009 (2.7534)	Prec@1 32.812 (34.364)	Prec@5 59.375 (64.696)
Epoch: [21][4660/14090]	Time 0.764 (0.770)	Data 0.001 (0.002)	Loss 2.5540 (2.7533)	Prec@1 34.375 (34.363)	Prec@5 64.844 (64.695)
Epoch: [21][4670/14090]	Time 0.894 (0.770)	Data 0.001 (0.002)	Loss 2.7955 (2.7534)	Prec@1 31.250 (34.361)	Prec@5 64.844 (64.693)
Epoch: [21][4680/14090]	Time 0.759 (0.770)	Data 0.001 (0.002)	Loss 2.8092 (2.7534)	Prec@1 30.469 (34.356)	Prec@5 62.500 (64.693)
Epoch: [21][4690/14090]	Time 0.733 (0.770)	Data 0.001 (0.002)	Loss 2.7015 (2.7534)	Prec@1 34.375 (34.355)	Prec@5 67.188 (64.693)
Epoch: [21][4700/14090]	Time 0.767 (0.770)	Data 0.001 (0.002)	Loss 2.7424 (2.7534)	Prec@1 34.375 (34.355)	Prec@5 63.281 (64.693)
Epoch: [21][4710/14090]	Time 0.742 (0.770)	Data 0.001 (0.002)	Loss 2.5906 (2.7532)	Prec@1 35.938 (34.356)	Prec@5 68.750 (64.697)
Epoch: [21][4720/14090]	Time 0.734 (0.770)	Data 0.001 (0.002)	Loss 2.9002 (2.7532)	Prec@1 28.125 (34.356)	Prec@5 67.188 (64.698)
Epoch: [21][4730/14090]	Time 0.738 (0.770)	Data 0.001 (0.002)	Loss 2.7251 (2.7532)	Prec@1 34.375 (34.356)	Prec@5 65.625 (64.699)
Epoch: [21][4740/14090]	Time 0.871 (0.770)	Data 0.001 (0.002)	Loss 2.6065 (2.7532)	Prec@1 35.156 (34.355)	Prec@5 66.406 (64.701)
Epoch: [21][4750/14090]	Time 0.771 (0.770)	Data 0.001 (0.002)	Loss 2.7752 (2.7532)	Prec@1 28.906 (34.352)	Prec@5 62.500 (64.702)
Epoch: [21][4760/14090]	Time 0.751 (0.770)	Data 0.001 (0.002)	Loss 2.8981 (2.7532)	Prec@1 28.125 (34.351)	Prec@5 60.938 (64.702)
Epoch: [21][4770/14090]	Time 0.752 (0.770)	Data 0.001 (0.002)	Loss 2.5534 (2.7531)	Prec@1 36.719 (34.351)	Prec@5 69.531 (64.709)
Epoch: [21][4780/14090]	Time 0.762 (0.770)	Data 0.001 (0.002)	Loss 3.0334 (2.7531)	Prec@1 28.125 (34.350)	Prec@5 60.156 (64.707)
Epoch: [21][4790/14090]	Time 0.749 (0.770)	Data 0.001 (0.002)	Loss 2.3196 (2.7530)	Prec@1 40.625 (34.355)	Prec@5 70.312 (64.712)
Epoch: [21][4800/14090]	Time 0.750 (0.770)	Data 0.001 (0.002)	Loss 2.7108 (2.7530)	Prec@1 34.375 (34.354)	Prec@5 70.312 (64.712)
Epoch: [21][4810/14090]	Time 0.871 (0.770)	Data 0.001 (0.002)	Loss 2.8303 (2.7528)	Prec@1 31.250 (34.361)	Prec@5 65.625 (64.716)
Epoch: [21][4820/14090]	Time 0.739 (0.770)	Data 0.001 (0.002)	Loss 2.8862 (2.7530)	Prec@1 32.812 (34.358)	Prec@5 57.812 (64.713)
Epoch: [21][4830/14090]	Time 0.749 (0.770)	Data 0.001 (0.002)	Loss 2.6748 (2.7530)	Prec@1 39.062 (34.359)	Prec@5 66.406 (64.712)
Epoch: [21][4840/14090]	Time 0.755 (0.770)	Data 0.001 (0.002)	Loss 2.6779 (2.7531)	Prec@1 35.156 (34.357)	Prec@5 67.969 (64.711)
Epoch: [21][4850/14090]	Time 0.772 (0.770)	Data 0.001 (0.002)	Loss 2.6721 (2.7531)	Prec@1 32.812 (34.357)	Prec@5 72.656 (64.710)
Epoch: [21][4860/14090]	Time 0.742 (0.770)	Data 0.001 (0.002)	Loss 2.7611 (2.7532)	Prec@1 33.594 (34.356)	Prec@5 69.531 (64.709)
Epoch: [21][4870/14090]	Time 0.746 (0.770)	Data 0.001 (0.002)	Loss 2.7833 (2.7531)	Prec@1 36.719 (34.358)	Prec@5 61.719 (64.710)
Epoch: [21][4880/14090]	Time 0.906 (0.770)	Data 0.001 (0.002)	Loss 2.9023 (2.7533)	Prec@1 29.688 (34.358)	Prec@5 58.594 (64.709)
Epoch: [21][4890/14090]	Time 0.786 (0.770)	Data 0.001 (0.002)	Loss 2.8708 (2.7532)	Prec@1 28.906 (34.359)	Prec@5 61.719 (64.714)
Epoch: [21][4900/14090]	Time 0.737 (0.770)	Data 0.001 (0.002)	Loss 2.6852 (2.7532)	Prec@1 32.812 (34.359)	Prec@5 64.062 (64.715)
Epoch: [21][4910/14090]	Time 0.780 (0.770)	Data 0.001 (0.002)	Loss 2.9197 (2.7532)	Prec@1 29.688 (34.358)	Prec@5 60.156 (64.713)
Epoch: [21][4920/14090]	Time 0.743 (0.770)	Data 0.001 (0.002)	Loss 2.7325 (2.7532)	Prec@1 33.594 (34.358)	Prec@5 64.062 (64.713)
Epoch: [21][4930/14090]	Time 0.742 (0.770)	Data 0.001 (0.002)	Loss 2.6811 (2.7531)	Prec@1 32.031 (34.357)	Prec@5 64.062 (64.717)
Epoch: [21][4940/14090]	Time 0.742 (0.770)	Data 0.001 (0.002)	Loss 2.5819 (2.7531)	Prec@1 34.375 (34.358)	Prec@5 68.750 (64.719)
Epoch: [21][4950/14090]	Time 0.846 (0.770)	Data 0.001 (0.002)	Loss 2.9921 (2.7533)	Prec@1 27.344 (34.354)	Prec@5 58.594 (64.711)
Epoch: [21][4960/14090]	Time 0.733 (0.770)	Data 0.001 (0.002)	Loss 2.9373 (2.7535)	Prec@1 34.375 (34.353)	Prec@5 62.500 (64.710)
Epoch: [21][4970/14090]	Time 0.742 (0.770)	Data 0.001 (0.002)	Loss 2.7503 (2.7538)	Prec@1 35.938 (34.352)	Prec@5 65.625 (64.703)
Epoch: [21][4980/14090]	Time 0.732 (0.770)	Data 0.002 (0.002)	Loss 2.3707 (2.7537)	Prec@1 39.062 (34.351)	Prec@5 72.656 (64.707)
Epoch: [21][4990/14090]	Time 0.734 (0.770)	Data 0.001 (0.002)	Loss 2.6447 (2.7537)	Prec@1 33.594 (34.352)	Prec@5 63.281 (64.706)
Epoch: [21][5000/14090]	Time 0.762 (0.770)	Data 0.001 (0.002)	Loss 2.8220 (2.7535)	Prec@1 33.594 (34.354)	Prec@5 61.719 (64.709)
Epoch: [21][5010/14090]	Time 0.749 (0.770)	Data 0.001 (0.002)	Loss 2.8256 (2.7537)	Prec@1 29.688 (34.350)	Prec@5 63.281 (64.707)
Epoch: [21][5020/14090]	Time 0.875 (0.770)	Data 0.001 (0.002)	Loss 2.7644 (2.7538)	Prec@1 36.719 (34.351)	Prec@5 63.281 (64.706)
Epoch: [21][5030/14090]	Time 0.764 (0.770)	Data 0.001 (0.002)	Loss 2.8235 (2.7538)	Prec@1 35.156 (34.350)	Prec@5 64.062 (64.704)
Epoch: [21][5040/14090]	Time 0.766 (0.770)	Data 0.001 (0.002)	Loss 2.6334 (2.7538)	Prec@1 38.281 (34.352)	Prec@5 63.281 (64.701)
Epoch: [21][5050/14090]	Time 0.750 (0.770)	Data 0.001 (0.002)	Loss 2.9826 (2.7538)	Prec@1 29.688 (34.351)	Prec@5 59.375 (64.701)
Epoch: [21][5060/14090]	Time 0.729 (0.770)	Data 0.001 (0.002)	Loss 2.7498 (2.7538)	Prec@1 32.031 (34.350)	Prec@5 66.406 (64.699)
Epoch: [21][5070/14090]	Time 0.763 (0.770)	Data 0.001 (0.002)	Loss 2.9455 (2.7537)	Prec@1 32.031 (34.351)	Prec@5 64.062 (64.702)
Epoch: [21][5080/14090]	Time 0.782 (0.770)	Data 0.001 (0.002)	Loss 2.6909 (2.7538)	Prec@1 35.938 (34.346)	Prec@5 66.406 (64.701)
Epoch: [21][5090/14090]	Time 0.825 (0.770)	Data 0.001 (0.002)	Loss 2.8160 (2.7539)	Prec@1 32.812 (34.345)	Prec@5 64.844 (64.701)
Epoch: [21][5100/14090]	Time 0.754 (0.770)	Data 0.001 (0.002)	Loss 2.7416 (2.7539)	Prec@1 35.156 (34.343)	Prec@5 64.062 (64.706)
Epoch: [21][5110/14090]	Time 0.736 (0.770)	Data 0.001 (0.002)	Loss 2.4446 (2.7539)	Prec@1 43.750 (34.345)	Prec@5 71.875 (64.707)
Epoch: [21][5120/14090]	Time 0.778 (0.770)	Data 0.001 (0.002)	Loss 3.1195 (2.7540)	Prec@1 25.781 (34.342)	Prec@5 63.281 (64.706)
Epoch: [21][5130/14090]	Time 0.741 (0.770)	Data 0.001 (0.002)	Loss 3.0967 (2.7542)	Prec@1 29.688 (34.342)	Prec@5 57.812 (64.703)
Epoch: [21][5140/14090]	Time 0.747 (0.770)	Data 0.001 (0.002)	Loss 2.9844 (2.7544)	Prec@1 31.250 (34.339)	Prec@5 64.844 (64.699)
Epoch: [21][5150/14090]	Time 0.724 (0.770)	Data 0.001 (0.002)	Loss 2.6290 (2.7543)	Prec@1 34.375 (34.344)	Prec@5 71.094 (64.698)
Epoch: [21][5160/14090]	Time 0.877 (0.770)	Data 0.001 (0.002)	Loss 2.5205 (2.7543)	Prec@1 38.281 (34.343)	Prec@5 67.969 (64.696)
Epoch: [21][5170/14090]	Time 0.741 (0.770)	Data 0.001 (0.002)	Loss 2.6371 (2.7542)	Prec@1 39.844 (34.345)	Prec@5 63.281 (64.701)
Epoch: [21][5180/14090]	Time 0.732 (0.770)	Data 0.001 (0.002)	Loss 2.5902 (2.7545)	Prec@1 42.188 (34.340)	Prec@5 64.844 (64.696)
Epoch: [21][5190/14090]	Time 0.748 (0.770)	Data 0.001 (0.002)	Loss 2.7172 (2.7546)	Prec@1 33.594 (34.334)	Prec@5 64.844 (64.695)
Epoch: [21][5200/14090]	Time 0.738 (0.770)	Data 0.001 (0.002)	Loss 2.5350 (2.7547)	Prec@1 35.938 (34.330)	Prec@5 66.406 (64.692)
Epoch: [21][5210/14090]	Time 0.755 (0.770)	Data 0.001 (0.002)	Loss 2.5798 (2.7546)	Prec@1 35.156 (34.333)	Prec@5 67.969 (64.695)
Epoch: [21][5220/14090]	Time 0.741 (0.770)	Data 0.001 (0.002)	Loss 2.7259 (2.7546)	Prec@1 38.281 (34.335)	Prec@5 64.844 (64.694)
Epoch: [21][5230/14090]	Time 0.841 (0.770)	Data 0.001 (0.002)	Loss 2.9921 (2.7544)	Prec@1 32.812 (34.339)	Prec@5 57.812 (64.697)
Epoch: [21][5240/14090]	Time 0.772 (0.770)	Data 0.001 (0.002)	Loss 2.7501 (2.7545)	Prec@1 31.250 (34.337)	Prec@5 62.500 (64.695)
Epoch: [21][5250/14090]	Time 0.731 (0.770)	Data 0.001 (0.002)	Loss 2.7747 (2.7544)	Prec@1 31.250 (34.336)	Prec@5 63.281 (64.697)
Epoch: [21][5260/14090]	Time 0.740 (0.770)	Data 0.002 (0.002)	Loss 2.9133 (2.7545)	Prec@1 40.625 (34.337)	Prec@5 59.375 (64.693)
Epoch: [21][5270/14090]	Time 0.744 (0.770)	Data 0.001 (0.002)	Loss 2.4691 (2.7545)	Prec@1 32.812 (34.336)	Prec@5 74.219 (64.695)
Epoch: [21][5280/14090]	Time 0.749 (0.770)	Data 0.001 (0.002)	Loss 2.7703 (2.7544)	Prec@1 28.906 (34.337)	Prec@5 67.969 (64.700)
Epoch: [21][5290/14090]	Time 0.728 (0.770)	Data 0.001 (0.002)	Loss 2.7147 (2.7544)	Prec@1 32.031 (34.337)	Prec@5 67.188 (64.696)
Epoch: [21][5300/14090]	Time 0.874 (0.770)	Data 0.001 (0.002)	Loss 2.7920 (2.7545)	Prec@1 34.375 (34.333)	Prec@5 60.938 (64.695)
Epoch: [21][5310/14090]	Time 0.772 (0.770)	Data 0.001 (0.002)	Loss 2.7441 (2.7546)	Prec@1 33.594 (34.330)	Prec@5 63.281 (64.692)
Epoch: [21][5320/14090]	Time 0.737 (0.770)	Data 0.001 (0.002)	Loss 2.6249 (2.7546)	Prec@1 40.625 (34.329)	Prec@5 67.188 (64.691)
Epoch: [21][5330/14090]	Time 0.740 (0.770)	Data 0.001 (0.002)	Loss 2.8100 (2.7545)	Prec@1 32.812 (34.333)	Prec@5 60.938 (64.694)
Epoch: [21][5340/14090]	Time 0.737 (0.770)	Data 0.001 (0.002)	Loss 2.4761 (2.7545)	Prec@1 39.062 (34.333)	Prec@5 65.625 (64.693)
Epoch: [21][5350/14090]	Time 0.764 (0.770)	Data 0.001 (0.002)	Loss 2.3636 (2.7544)	Prec@1 44.531 (34.335)	Prec@5 70.312 (64.695)
Epoch: [21][5360/14090]	Time 0.770 (0.770)	Data 0.001 (0.002)	Loss 2.9774 (2.7545)	Prec@1 33.594 (34.336)	Prec@5 57.812 (64.694)
Epoch: [21][5370/14090]	Time 0.871 (0.770)	Data 0.001 (0.002)	Loss 3.0663 (2.7545)	Prec@1 30.469 (34.334)	Prec@5 58.594 (64.691)
Epoch: [21][5380/14090]	Time 0.732 (0.770)	Data 0.001 (0.002)	Loss 2.9381 (2.7544)	Prec@1 35.938 (34.339)	Prec@5 60.156 (64.692)
Epoch: [21][5390/14090]	Time 0.750 (0.770)	Data 0.001 (0.002)	Loss 2.8613 (2.7545)	Prec@1 38.281 (34.336)	Prec@5 64.844 (64.691)
Epoch: [21][5400/14090]	Time 0.729 (0.770)	Data 0.001 (0.002)	Loss 2.5485 (2.7546)	Prec@1 35.156 (34.330)	Prec@5 75.000 (64.691)
Epoch: [21][5410/14090]	Time 0.741 (0.770)	Data 0.001 (0.002)	Loss 2.8185 (2.7546)	Prec@1 35.156 (34.330)	Prec@5 59.375 (64.689)
Epoch: [21][5420/14090]	Time 0.735 (0.770)	Data 0.001 (0.002)	Loss 2.7586 (2.7547)	Prec@1 29.688 (34.327)	Prec@5 67.969 (64.690)
Epoch: [21][5430/14090]	Time 0.746 (0.770)	Data 0.001 (0.002)	Loss 2.4758 (2.7548)	Prec@1 42.969 (34.324)	Prec@5 68.750 (64.690)
Epoch: [21][5440/14090]	Time 0.845 (0.770)	Data 0.001 (0.002)	Loss 2.7700 (2.7548)	Prec@1 32.031 (34.323)	Prec@5 66.406 (64.690)
Epoch: [21][5450/14090]	Time 0.768 (0.770)	Data 0.001 (0.002)	Loss 2.5384 (2.7548)	Prec@1 39.844 (34.325)	Prec@5 67.188 (64.688)
Epoch: [21][5460/14090]	Time 0.756 (0.770)	Data 0.001 (0.002)	Loss 2.7846 (2.7548)	Prec@1 35.938 (34.328)	Prec@5 64.062 (64.687)
Epoch: [21][5470/14090]	Time 0.772 (0.770)	Data 0.001 (0.002)	Loss 2.9416 (2.7546)	Prec@1 32.812 (34.330)	Prec@5 60.938 (64.692)
Epoch: [21][5480/14090]	Time 0.735 (0.770)	Data 0.001 (0.002)	Loss 3.0860 (2.7546)	Prec@1 25.781 (34.331)	Prec@5 52.344 (64.691)
Epoch: [21][5490/14090]	Time 0.763 (0.770)	Data 0.001 (0.002)	Loss 2.6137 (2.7544)	Prec@1 35.938 (34.334)	Prec@5 70.312 (64.697)
Epoch: [21][5500/14090]	Time 0.726 (0.770)	Data 0.001 (0.002)	Loss 2.6047 (2.7545)	Prec@1 36.719 (34.333)	Prec@5 67.188 (64.696)
Epoch: [21][5510/14090]	Time 0.867 (0.770)	Data 0.001 (0.002)	Loss 2.6177 (2.7545)	Prec@1 32.031 (34.333)	Prec@5 63.281 (64.695)
Epoch: [21][5520/14090]	Time 0.732 (0.770)	Data 0.001 (0.002)	Loss 2.7535 (2.7547)	Prec@1 34.375 (34.333)	Prec@5 57.812 (64.689)
Epoch: [21][5530/14090]	Time 0.751 (0.770)	Data 0.001 (0.002)	Loss 2.9615 (2.7548)	Prec@1 32.031 (34.329)	Prec@5 58.594 (64.686)
Epoch: [21][5540/14090]	Time 0.755 (0.770)	Data 0.001 (0.002)	Loss 2.9375 (2.7549)	Prec@1 32.031 (34.329)	Prec@5 60.938 (64.685)
Epoch: [21][5550/14090]	Time 0.737 (0.770)	Data 0.001 (0.002)	Loss 2.6889 (2.7548)	Prec@1 38.281 (34.330)	Prec@5 66.406 (64.685)
Epoch: [21][5560/14090]	Time 0.757 (0.770)	Data 0.001 (0.002)	Loss 2.9343 (2.7548)	Prec@1 35.156 (34.333)	Prec@5 57.031 (64.686)
Epoch: [21][5570/14090]	Time 0.741 (0.770)	Data 0.001 (0.002)	Loss 2.6160 (2.7548)	Prec@1 39.062 (34.331)	Prec@5 67.188 (64.686)
Epoch: [21][5580/14090]	Time 0.903 (0.770)	Data 0.001 (0.002)	Loss 2.7437 (2.7549)	Prec@1 32.812 (34.330)	Prec@5 64.844 (64.685)
Epoch: [21][5590/14090]	Time 0.745 (0.770)	Data 0.001 (0.002)	Loss 2.7793 (2.7548)	Prec@1 35.938 (34.330)	Prec@5 63.281 (64.687)
Epoch: [21][5600/14090]	Time 0.734 (0.770)	Data 0.001 (0.002)	Loss 2.7495 (2.7549)	Prec@1 37.500 (34.329)	Prec@5 66.406 (64.688)
Epoch: [21][5610/14090]	Time 0.746 (0.770)	Data 0.001 (0.002)	Loss 2.7898 (2.7550)	Prec@1 32.031 (34.328)	Prec@5 60.938 (64.682)
Epoch: [21][5620/14090]	Time 0.739 (0.770)	Data 0.001 (0.002)	Loss 3.0414 (2.7550)	Prec@1 32.812 (34.330)	Prec@5 60.938 (64.683)
Epoch: [21][5630/14090]	Time 0.765 (0.770)	Data 0.001 (0.002)	Loss 2.9087 (2.7551)	Prec@1 30.469 (34.325)	Prec@5 63.281 (64.679)
Epoch: [21][5640/14090]	Time 0.738 (0.770)	Data 0.001 (0.002)	Loss 2.8281 (2.7551)	Prec@1 32.812 (34.325)	Prec@5 63.281 (64.679)
Epoch: [21][5650/14090]	Time 0.843 (0.770)	Data 0.001 (0.002)	Loss 2.9806 (2.7550)	Prec@1 28.906 (34.325)	Prec@5 57.812 (64.678)
Epoch: [21][5660/14090]	Time 0.770 (0.770)	Data 0.001 (0.002)	Loss 2.7025 (2.7550)	Prec@1 35.938 (34.326)	Prec@5 71.875 (64.680)
Epoch: [21][5670/14090]	Time 0.747 (0.770)	Data 0.001 (0.002)	Loss 2.7511 (2.7549)	Prec@1 35.156 (34.326)	Prec@5 65.625 (64.683)
Epoch: [21][5680/14090]	Time 0.729 (0.770)	Data 0.001 (0.002)	Loss 2.7772 (2.7549)	Prec@1 34.375 (34.329)	Prec@5 60.156 (64.683)
Epoch: [21][5690/14090]	Time 0.734 (0.770)	Data 0.001 (0.002)	Loss 2.9954 (2.7551)	Prec@1 39.062 (34.328)	Prec@5 64.062 (64.681)
Epoch: [21][5700/14090]	Time 0.742 (0.770)	Data 0.001 (0.002)	Loss 2.8236 (2.7552)	Prec@1 32.812 (34.328)	Prec@5 60.938 (64.681)
Epoch: [21][5710/14090]	Time 0.750 (0.770)	Data 0.001 (0.002)	Loss 2.9042 (2.7553)	Prec@1 33.594 (34.327)	Prec@5 60.938 (64.677)
Epoch: [21][5720/14090]	Time 0.840 (0.770)	Data 0.001 (0.002)	Loss 2.7075 (2.7552)	Prec@1 32.031 (34.330)	Prec@5 67.188 (64.677)
Epoch: [21][5730/14090]	Time 0.736 (0.770)	Data 0.001 (0.002)	Loss 2.8673 (2.7553)	Prec@1 28.906 (34.329)	Prec@5 60.156 (64.677)
Epoch: [21][5740/14090]	Time 0.746 (0.770)	Data 0.001 (0.002)	Loss 2.7325 (2.7552)	Prec@1 35.938 (34.331)	Prec@5 67.969 (64.679)
Epoch: [21][5750/14090]	Time 0.777 (0.770)	Data 0.001 (0.002)	Loss 2.8640 (2.7554)	Prec@1 31.250 (34.328)	Prec@5 58.594 (64.673)
Epoch: [21][5760/14090]	Time 0.741 (0.770)	Data 0.001 (0.002)	Loss 2.5601 (2.7554)	Prec@1 38.281 (34.327)	Prec@5 69.531 (64.671)
Epoch: [21][5770/14090]	Time 0.730 (0.770)	Data 0.001 (0.002)	Loss 2.7457 (2.7555)	Prec@1 32.031 (34.324)	Prec@5 64.844 (64.671)
Epoch: [21][5780/14090]	Time 0.751 (0.770)	Data 0.001 (0.002)	Loss 3.1374 (2.7554)	Prec@1 22.656 (34.325)	Prec@5 57.812 (64.671)
Epoch: [21][5790/14090]	Time 0.897 (0.770)	Data 0.001 (0.002)	Loss 2.6337 (2.7554)	Prec@1 32.812 (34.324)	Prec@5 67.969 (64.671)
Epoch: [21][5800/14090]	Time 0.739 (0.770)	Data 0.001 (0.002)	Loss 2.5653 (2.7555)	Prec@1 39.062 (34.324)	Prec@5 67.188 (64.671)
Epoch: [21][5810/14090]	Time 0.743 (0.770)	Data 0.001 (0.002)	Loss 2.5953 (2.7554)	Prec@1 35.156 (34.324)	Prec@5 72.656 (64.673)
Epoch: [21][5820/14090]	Time 0.750 (0.770)	Data 0.002 (0.002)	Loss 2.6805 (2.7555)	Prec@1 35.938 (34.321)	Prec@5 65.625 (64.672)
Epoch: [21][5830/14090]	Time 0.722 (0.770)	Data 0.001 (0.002)	Loss 2.9462 (2.7556)	Prec@1 27.344 (34.322)	Prec@5 65.625 (64.670)
Epoch: [21][5840/14090]	Time 0.749 (0.770)	Data 0.001 (0.002)	Loss 2.5991 (2.7557)	Prec@1 36.719 (34.320)	Prec@5 64.062 (64.668)
Epoch: [21][5850/14090]	Time 0.771 (0.770)	Data 0.001 (0.002)	Loss 2.7150 (2.7558)	Prec@1 34.375 (34.319)	Prec@5 60.156 (64.664)
Epoch: [21][5860/14090]	Time 0.854 (0.770)	Data 0.001 (0.002)	Loss 2.7860 (2.7558)	Prec@1 35.938 (34.318)	Prec@5 64.844 (64.664)
Epoch: [21][5870/14090]	Time 0.736 (0.770)	Data 0.001 (0.002)	Loss 2.6974 (2.7557)	Prec@1 34.375 (34.318)	Prec@5 62.500 (64.666)
Epoch: [21][5880/14090]	Time 0.731 (0.770)	Data 0.001 (0.002)	Loss 2.7684 (2.7557)	Prec@1 32.812 (34.318)	Prec@5 63.281 (64.668)
Epoch: [21][5890/14090]	Time 0.785 (0.770)	Data 0.001 (0.002)	Loss 2.6632 (2.7557)	Prec@1 34.375 (34.321)	Prec@5 65.625 (64.669)
Epoch: [21][5900/14090]	Time 0.729 (0.770)	Data 0.001 (0.002)	Loss 2.6726 (2.7556)	Prec@1 34.375 (34.323)	Prec@5 67.188 (64.671)
Epoch: [21][5910/14090]	Time 0.734 (0.770)	Data 0.001 (0.002)	Loss 2.6868 (2.7555)	Prec@1 36.719 (34.325)	Prec@5 67.969 (64.675)
Epoch: [21][5920/14090]	Time 0.736 (0.770)	Data 0.001 (0.002)	Loss 2.8466 (2.7554)	Prec@1 31.250 (34.322)	Prec@5 65.625 (64.677)
Epoch: [21][5930/14090]	Time 0.886 (0.770)	Data 0.001 (0.002)	Loss 2.4274 (2.7555)	Prec@1 40.625 (34.322)	Prec@5 71.875 (64.678)
Epoch: [21][5940/14090]	Time 0.750 (0.770)	Data 0.001 (0.002)	Loss 2.5886 (2.7555)	Prec@1 36.719 (34.319)	Prec@5 68.750 (64.678)
Epoch: [21][5950/14090]	Time 0.732 (0.770)	Data 0.001 (0.002)	Loss 2.9371 (2.7557)	Prec@1 28.125 (34.313)	Prec@5 62.500 (64.675)
Epoch: [21][5960/14090]	Time 0.751 (0.770)	Data 0.001 (0.002)	Loss 2.6827 (2.7556)	Prec@1 34.375 (34.313)	Prec@5 64.844 (64.673)
Epoch: [21][5970/14090]	Time 0.753 (0.770)	Data 0.001 (0.002)	Loss 2.6998 (2.7556)	Prec@1 32.812 (34.312)	Prec@5 63.281 (64.672)
Epoch: [21][5980/14090]	Time 0.767 (0.770)	Data 0.001 (0.002)	Loss 2.7670 (2.7557)	Prec@1 34.375 (34.310)	Prec@5 64.844 (64.669)
Epoch: [21][5990/14090]	Time 0.750 (0.770)	Data 0.001 (0.002)	Loss 2.9684 (2.7558)	Prec@1 24.219 (34.306)	Prec@5 57.031 (64.667)
Epoch: [21][6000/14090]	Time 0.857 (0.770)	Data 0.001 (0.002)	Loss 2.6033 (2.7556)	Prec@1 37.500 (34.308)	Prec@5 69.531 (64.672)
Epoch: [21][6010/14090]	Time 0.748 (0.770)	Data 0.001 (0.002)	Loss 2.7259 (2.7555)	Prec@1 37.500 (34.309)	Prec@5 64.062 (64.675)
Epoch: [21][6020/14090]	Time 0.755 (0.770)	Data 0.001 (0.002)	Loss 3.0047 (2.7556)	Prec@1 32.812 (34.309)	Prec@5 57.812 (64.675)
Epoch: [21][6030/14090]	Time 0.751 (0.770)	Data 0.001 (0.002)	Loss 2.7496 (2.7556)	Prec@1 31.250 (34.307)	Prec@5 65.625 (64.673)
Epoch: [21][6040/14090]	Time 0.742 (0.770)	Data 0.001 (0.002)	Loss 2.7167 (2.7559)	Prec@1 35.156 (34.304)	Prec@5 65.625 (64.667)
Epoch: [21][6050/14090]	Time 0.746 (0.770)	Data 0.001 (0.002)	Loss 2.9476 (2.7560)	Prec@1 29.688 (34.304)	Prec@5 64.844 (64.666)
Epoch: [21][6060/14090]	Time 0.742 (0.770)	Data 0.001 (0.002)	Loss 2.8025 (2.7560)	Prec@1 32.812 (34.306)	Prec@5 64.062 (64.667)
Epoch: [21][6070/14090]	Time 0.855 (0.770)	Data 0.001 (0.002)	Loss 2.5676 (2.7558)	Prec@1 39.844 (34.311)	Prec@5 71.875 (64.670)
Epoch: [21][6080/14090]	Time 0.737 (0.770)	Data 0.001 (0.002)	Loss 2.5831 (2.7557)	Prec@1 36.719 (34.311)	Prec@5 69.531 (64.673)
Epoch: [21][6090/14090]	Time 0.729 (0.770)	Data 0.001 (0.002)	Loss 2.4497 (2.7556)	Prec@1 39.062 (34.311)	Prec@5 70.312 (64.673)
Epoch: [21][6100/14090]	Time 0.734 (0.770)	Data 0.001 (0.002)	Loss 3.0698 (2.7558)	Prec@1 27.344 (34.308)	Prec@5 58.594 (64.669)
Epoch: [21][6110/14090]	Time 0.747 (0.770)	Data 0.001 (0.002)	Loss 2.8684 (2.7559)	Prec@1 36.719 (34.307)	Prec@5 65.625 (64.668)
Epoch: [21][6120/14090]	Time 0.753 (0.770)	Data 0.001 (0.002)	Loss 2.6176 (2.7558)	Prec@1 32.812 (34.306)	Prec@5 67.969 (64.669)
Epoch: [21][6130/14090]	Time 0.758 (0.770)	Data 0.001 (0.002)	Loss 2.9284 (2.7560)	Prec@1 33.594 (34.306)	Prec@5 60.156 (64.666)
Epoch: [21][6140/14090]	Time 0.837 (0.770)	Data 0.001 (0.002)	Loss 2.7763 (2.7560)	Prec@1 35.156 (34.304)	Prec@5 60.156 (64.665)
Epoch: [21][6150/14090]	Time 0.756 (0.770)	Data 0.001 (0.002)	Loss 2.5578 (2.7559)	Prec@1 32.812 (34.309)	Prec@5 67.188 (64.668)
Epoch: [21][6160/14090]	Time 0.748 (0.770)	Data 0.001 (0.002)	Loss 2.7762 (2.7559)	Prec@1 32.812 (34.311)	Prec@5 60.938 (64.667)
Epoch: [21][6170/14090]	Time 0.743 (0.770)	Data 0.001 (0.002)	Loss 3.0228 (2.7558)	Prec@1 28.125 (34.310)	Prec@5 58.594 (64.667)
Epoch: [21][6180/14090]	Time 0.755 (0.770)	Data 0.001 (0.002)	Loss 2.8008 (2.7560)	Prec@1 32.812 (34.308)	Prec@5 61.719 (64.664)
Epoch: [21][6190/14090]	Time 0.751 (0.770)	Data 0.001 (0.002)	Loss 2.6396 (2.7561)	Prec@1 35.156 (34.305)	Prec@5 70.312 (64.659)
Epoch: [21][6200/14090]	Time 0.725 (0.770)	Data 0.001 (0.002)	Loss 2.7946 (2.7562)	Prec@1 32.031 (34.300)	Prec@5 57.812 (64.655)
Epoch: [21][6210/14090]	Time 0.878 (0.770)	Data 0.001 (0.002)	Loss 3.0661 (2.7563)	Prec@1 26.562 (34.298)	Prec@5 59.375 (64.655)
Epoch: [21][6220/14090]	Time 0.766 (0.770)	Data 0.001 (0.002)	Loss 2.7617 (2.7562)	Prec@1 38.281 (34.301)	Prec@5 66.406 (64.657)
Epoch: [21][6230/14090]	Time 0.779 (0.770)	Data 0.001 (0.002)	Loss 2.6860 (2.7562)	Prec@1 36.719 (34.300)	Prec@5 65.625 (64.658)
Epoch: [21][6240/14090]	Time 0.759 (0.770)	Data 0.001 (0.002)	Loss 2.6757 (2.7562)	Prec@1 33.594 (34.300)	Prec@5 64.844 (64.656)
Epoch: [21][6250/14090]	Time 0.757 (0.770)	Data 0.001 (0.002)	Loss 2.8230 (2.7562)	Prec@1 32.031 (34.300)	Prec@5 64.062 (64.658)
Epoch: [21][6260/14090]	Time 0.732 (0.770)	Data 0.001 (0.002)	Loss 2.9394 (2.7562)	Prec@1 34.375 (34.301)	Prec@5 60.156 (64.657)
Epoch: [21][6270/14090]	Time 0.740 (0.770)	Data 0.001 (0.002)	Loss 2.8210 (2.7561)	Prec@1 33.594 (34.299)	Prec@5 64.844 (64.662)
Epoch: [21][6280/14090]	Time 0.965 (0.770)	Data 0.001 (0.002)	Loss 2.5113 (2.7561)	Prec@1 31.250 (34.298)	Prec@5 68.750 (64.660)
Epoch: [21][6290/14090]	Time 0.729 (0.770)	Data 0.001 (0.002)	Loss 2.7299 (2.7562)	Prec@1 30.469 (34.295)	Prec@5 62.500 (64.656)
Epoch: [21][6300/14090]	Time 0.743 (0.770)	Data 0.001 (0.002)	Loss 2.7103 (2.7562)	Prec@1 36.719 (34.296)	Prec@5 64.062 (64.655)
Epoch: [21][6310/14090]	Time 0.756 (0.770)	Data 0.001 (0.002)	Loss 3.0432 (2.7562)	Prec@1 31.250 (34.296)	Prec@5 57.812 (64.655)
Epoch: [21][6320/14090]	Time 0.740 (0.770)	Data 0.001 (0.002)	Loss 2.8599 (2.7562)	Prec@1 29.688 (34.294)	Prec@5 60.938 (64.654)
Epoch: [21][6330/14090]	Time 0.748 (0.770)	Data 0.001 (0.002)	Loss 2.7796 (2.7563)	Prec@1 35.938 (34.291)	Prec@5 62.500 (64.653)
Epoch: [21][6340/14090]	Time 0.753 (0.770)	Data 0.001 (0.002)	Loss 2.5997 (2.7564)	Prec@1 36.719 (34.288)	Prec@5 71.094 (64.653)
Epoch: [21][6350/14090]	Time 0.849 (0.770)	Data 0.001 (0.002)	Loss 2.6787 (2.7563)	Prec@1 35.938 (34.290)	Prec@5 67.969 (64.654)
Epoch: [21][6360/14090]	Time 0.737 (0.770)	Data 0.001 (0.002)	Loss 3.0021 (2.7566)	Prec@1 28.906 (34.287)	Prec@5 59.375 (64.648)
Epoch: [21][6370/14090]	Time 0.766 (0.770)	Data 0.001 (0.002)	Loss 2.9085 (2.7567)	Prec@1 28.125 (34.286)	Prec@5 60.938 (64.646)
Epoch: [21][6380/14090]	Time 0.793 (0.770)	Data 0.001 (0.002)	Loss 2.5091 (2.7566)	Prec@1 40.625 (34.288)	Prec@5 71.875 (64.648)
Epoch: [21][6390/14090]	Time 0.740 (0.770)	Data 0.001 (0.002)	Loss 2.7416 (2.7567)	Prec@1 34.375 (34.290)	Prec@5 64.062 (64.648)
Epoch: [21][6400/14090]	Time 0.755 (0.770)	Data 0.001 (0.002)	Loss 2.7615 (2.7567)	Prec@1 32.031 (34.287)	Prec@5 64.062 (64.645)
Epoch: [21][6410/14090]	Time 0.756 (0.770)	Data 0.001 (0.002)	Loss 2.4024 (2.7566)	Prec@1 39.062 (34.289)	Prec@5 70.312 (64.647)
Epoch: [21][6420/14090]	Time 1.034 (0.770)	Data 0.001 (0.002)	Loss 2.6759 (2.7567)	Prec@1 32.031 (34.288)	Prec@5 64.844 (64.646)
Epoch: [21][6430/14090]	Time 0.730 (0.770)	Data 0.001 (0.002)	Loss 2.8042 (2.7567)	Prec@1 32.812 (34.286)	Prec@5 64.844 (64.645)
Epoch: [21][6440/14090]	Time 0.732 (0.770)	Data 0.001 (0.002)	Loss 2.5602 (2.7566)	Prec@1 39.844 (34.288)	Prec@5 70.312 (64.647)
Epoch: [21][6450/14090]	Time 0.757 (0.770)	Data 0.001 (0.002)	Loss 2.7249 (2.7566)	Prec@1 30.469 (34.288)	Prec@5 68.750 (64.648)
Epoch: [21][6460/14090]	Time 0.730 (0.770)	Data 0.001 (0.002)	Loss 3.0757 (2.7566)	Prec@1 32.812 (34.288)	Prec@5 62.500 (64.648)
Epoch: [21][6470/14090]	Time 0.768 (0.770)	Data 0.001 (0.002)	Loss 2.9881 (2.7567)	Prec@1 26.562 (34.285)	Prec@5 61.719 (64.647)
Epoch: [21][6480/14090]	Time 0.731 (0.770)	Data 0.001 (0.002)	Loss 2.6580 (2.7568)	Prec@1 33.594 (34.281)	Prec@5 65.625 (64.643)
Epoch: [21][6490/14090]	Time 0.918 (0.770)	Data 0.001 (0.002)	Loss 2.5509 (2.7568)	Prec@1 35.156 (34.280)	Prec@5 67.969 (64.645)
Epoch: [21][6500/14090]	Time 0.767 (0.770)	Data 0.001 (0.002)	Loss 2.9462 (2.7568)	Prec@1 28.906 (34.281)	Prec@5 58.594 (64.644)
Epoch: [21][6510/14090]	Time 0.745 (0.770)	Data 0.001 (0.002)	Loss 2.7795 (2.7567)	Prec@1 39.844 (34.283)	Prec@5 60.156 (64.644)
Epoch: [21][6520/14090]	Time 0.736 (0.770)	Data 0.001 (0.002)	Loss 2.7086 (2.7567)	Prec@1 34.375 (34.283)	Prec@5 66.406 (64.644)
Epoch: [21][6530/14090]	Time 0.745 (0.770)	Data 0.001 (0.001)	Loss 2.6897 (2.7567)	Prec@1 36.719 (34.282)	Prec@5 65.625 (64.644)
Epoch: [21][6540/14090]	Time 0.762 (0.770)	Data 0.001 (0.001)	Loss 2.5508 (2.7566)	Prec@1 36.719 (34.285)	Prec@5 68.750 (64.647)
Epoch: [21][6550/14090]	Time 0.733 (0.770)	Data 0.001 (0.001)	Loss 3.0147 (2.7567)	Prec@1 29.688 (34.282)	Prec@5 59.375 (64.642)
Epoch: [21][6560/14090]	Time 0.914 (0.770)	Data 0.001 (0.001)	Loss 2.8667 (2.7567)	Prec@1 32.812 (34.282)	Prec@5 64.844 (64.643)
Epoch: [21][6570/14090]	Time 0.778 (0.770)	Data 0.001 (0.001)	Loss 2.6448 (2.7568)	Prec@1 33.594 (34.282)	Prec@5 64.062 (64.641)
Epoch: [21][6580/14090]	Time 0.745 (0.770)	Data 0.001 (0.001)	Loss 2.9446 (2.7568)	Prec@1 32.812 (34.279)	Prec@5 61.719 (64.637)
Epoch: [21][6590/14090]	Time 0.774 (0.770)	Data 0.001 (0.001)	Loss 2.6175 (2.7568)	Prec@1 39.844 (34.282)	Prec@5 67.969 (64.638)
Epoch: [21][6600/14090]	Time 0.775 (0.770)	Data 0.001 (0.001)	Loss 2.6585 (2.7567)	Prec@1 34.375 (34.283)	Prec@5 65.625 (64.641)
Epoch: [21][6610/14090]	Time 0.761 (0.770)	Data 0.001 (0.001)	Loss 2.3657 (2.7567)	Prec@1 43.750 (34.285)	Prec@5 71.094 (64.643)
Epoch: [21][6620/14090]	Time 0.738 (0.770)	Data 0.001 (0.001)	Loss 2.6382 (2.7565)	Prec@1 32.031 (34.285)	Prec@5 67.969 (64.645)
Epoch: [21][6630/14090]	Time 0.884 (0.770)	Data 0.001 (0.001)	Loss 2.5050 (2.7565)	Prec@1 39.844 (34.286)	Prec@5 69.531 (64.646)
Epoch: [21][6640/14090]	Time 0.734 (0.770)	Data 0.001 (0.001)	Loss 3.1113 (2.7565)	Prec@1 33.594 (34.284)	Prec@5 60.938 (64.646)
Epoch: [21][6650/14090]	Time 0.755 (0.770)	Data 0.001 (0.001)	Loss 2.7312 (2.7565)	Prec@1 33.594 (34.285)	Prec@5 64.844 (64.643)
Epoch: [21][6660/14090]	Time 0.765 (0.770)	Data 0.001 (0.001)	Loss 2.8566 (2.7564)	Prec@1 29.688 (34.286)	Prec@5 65.625 (64.645)
Epoch: [21][6670/14090]	Time 0.732 (0.770)	Data 0.001 (0.001)	Loss 2.5087 (2.7564)	Prec@1 36.719 (34.287)	Prec@5 63.281 (64.647)
Epoch: [21][6680/14090]	Time 0.742 (0.770)	Data 0.001 (0.001)	Loss 2.2782 (2.7564)	Prec@1 42.969 (34.287)	Prec@5 66.406 (64.645)
Epoch: [21][6690/14090]	Time 0.757 (0.770)	Data 0.001 (0.001)	Loss 2.6314 (2.7563)	Prec@1 35.156 (34.289)	Prec@5 67.969 (64.647)
Epoch: [21][6700/14090]	Time 0.848 (0.770)	Data 0.001 (0.001)	Loss 2.7325 (2.7564)	Prec@1 36.719 (34.286)	Prec@5 67.188 (64.645)
Epoch: [21][6710/14090]	Time 0.755 (0.770)	Data 0.001 (0.001)	Loss 2.7361 (2.7564)	Prec@1 32.812 (34.285)	Prec@5 60.938 (64.647)
Epoch: [21][6720/14090]	Time 0.754 (0.770)	Data 0.001 (0.001)	Loss 2.7946 (2.7565)	Prec@1 33.594 (34.282)	Prec@5 60.156 (64.645)
Epoch: [21][6730/14090]	Time 0.737 (0.770)	Data 0.001 (0.001)	Loss 2.4926 (2.7566)	Prec@1 37.500 (34.282)	Prec@5 69.531 (64.641)
Epoch: [21][6740/14090]	Time 0.754 (0.770)	Data 0.001 (0.001)	Loss 2.6764 (2.7566)	Prec@1 37.500 (34.283)	Prec@5 64.844 (64.639)
Epoch: [21][6750/14090]	Time 0.743 (0.770)	Data 0.001 (0.001)	Loss 2.9794 (2.7566)	Prec@1 29.688 (34.286)	Prec@5 60.156 (64.639)
Epoch: [21][6760/14090]	Time 0.768 (0.770)	Data 0.001 (0.001)	Loss 2.3206 (2.7566)	Prec@1 41.406 (34.284)	Prec@5 72.656 (64.640)
Epoch: [21][6770/14090]	Time 0.906 (0.770)	Data 0.001 (0.001)	Loss 2.8706 (2.7567)	Prec@1 32.812 (34.278)	Prec@5 58.594 (64.639)
Epoch: [21][6780/14090]	Time 0.752 (0.770)	Data 0.001 (0.001)	Loss 2.9714 (2.7568)	Prec@1 30.469 (34.276)	Prec@5 57.812 (64.634)
Epoch: [21][6790/14090]	Time 0.757 (0.770)	Data 0.001 (0.001)	Loss 2.5312 (2.7568)	Prec@1 38.281 (34.274)	Prec@5 67.969 (64.634)
Epoch: [21][6800/14090]	Time 0.752 (0.770)	Data 0.001 (0.001)	Loss 2.8212 (2.7570)	Prec@1 34.375 (34.273)	Prec@5 62.500 (64.632)
Epoch: [21][6810/14090]	Time 0.767 (0.770)	Data 0.001 (0.001)	Loss 2.4852 (2.7569)	Prec@1 39.844 (34.274)	Prec@5 67.969 (64.636)
Epoch: [21][6820/14090]	Time 0.756 (0.770)	Data 0.001 (0.001)	Loss 2.5886 (2.7570)	Prec@1 39.844 (34.273)	Prec@5 68.750 (64.634)
Epoch: [21][6830/14090]	Time 0.747 (0.770)	Data 0.001 (0.001)	Loss 2.6893 (2.7569)	Prec@1 39.844 (34.273)	Prec@5 69.531 (64.636)
Epoch: [21][6840/14090]	Time 0.872 (0.770)	Data 0.001 (0.001)	Loss 2.9273 (2.7569)	Prec@1 34.375 (34.276)	Prec@5 59.375 (64.637)
Epoch: [21][6850/14090]	Time 0.760 (0.770)	Data 0.001 (0.001)	Loss 2.6491 (2.7568)	Prec@1 39.062 (34.278)	Prec@5 66.406 (64.639)
Epoch: [21][6860/14090]	Time 0.735 (0.770)	Data 0.001 (0.001)	Loss 2.9087 (2.7569)	Prec@1 35.938 (34.278)	Prec@5 64.844 (64.637)
Epoch: [21][6870/14090]	Time 0.737 (0.770)	Data 0.001 (0.001)	Loss 3.0824 (2.7571)	Prec@1 28.906 (34.271)	Prec@5 53.906 (64.634)
Epoch: [21][6880/14090]	Time 0.746 (0.770)	Data 0.001 (0.001)	Loss 2.7510 (2.7572)	Prec@1 31.250 (34.269)	Prec@5 67.969 (64.632)
Epoch: [21][6890/14090]	Time 0.761 (0.770)	Data 0.001 (0.001)	Loss 2.5647 (2.7573)	Prec@1 39.062 (34.267)	Prec@5 66.406 (64.630)
Epoch: [21][6900/14090]	Time 0.742 (0.770)	Data 0.001 (0.001)	Loss 2.6715 (2.7573)	Prec@1 35.156 (34.266)	Prec@5 61.719 (64.629)
Epoch: [21][6910/14090]	Time 0.969 (0.770)	Data 0.001 (0.001)	Loss 2.9923 (2.7573)	Prec@1 28.125 (34.264)	Prec@5 57.031 (64.626)
Epoch: [21][6920/14090]	Time 0.780 (0.770)	Data 0.001 (0.001)	Loss 2.4794 (2.7573)	Prec@1 39.844 (34.262)	Prec@5 71.094 (64.628)
Epoch: [21][6930/14090]	Time 0.728 (0.770)	Data 0.001 (0.001)	Loss 2.7768 (2.7572)	Prec@1 39.844 (34.263)	Prec@5 63.281 (64.628)
Epoch: [21][6940/14090]	Time 0.751 (0.770)	Data 0.001 (0.001)	Loss 2.6857 (2.7572)	Prec@1 38.281 (34.262)	Prec@5 68.750 (64.630)
Epoch: [21][6950/14090]	Time 0.773 (0.770)	Data 0.001 (0.001)	Loss 2.8732 (2.7573)	Prec@1 32.031 (34.262)	Prec@5 63.281 (64.629)
Epoch: [21][6960/14090]	Time 0.761 (0.770)	Data 0.001 (0.001)	Loss 2.6697 (2.7573)	Prec@1 36.719 (34.261)	Prec@5 65.625 (64.627)
Epoch: [21][6970/14090]	Time 0.736 (0.770)	Data 0.001 (0.001)	Loss 2.7134 (2.7574)	Prec@1 32.812 (34.262)	Prec@5 64.062 (64.624)
Epoch: [21][6980/14090]	Time 0.882 (0.770)	Data 0.001 (0.001)	Loss 2.6096 (2.7575)	Prec@1 39.062 (34.261)	Prec@5 61.719 (64.621)
Epoch: [21][6990/14090]	Time 0.751 (0.770)	Data 0.001 (0.001)	Loss 2.6694 (2.7574)	Prec@1 36.719 (34.261)	Prec@5 61.719 (64.620)
Epoch: [21][7000/14090]	Time 0.768 (0.770)	Data 0.001 (0.001)	Loss 2.4955 (2.7573)	Prec@1 37.500 (34.263)	Prec@5 67.969 (64.622)
Epoch: [21][7010/14090]	Time 0.737 (0.770)	Data 0.001 (0.001)	Loss 2.6455 (2.7573)	Prec@1 35.938 (34.260)	Prec@5 67.969 (64.622)
Epoch: [21][7020/14090]	Time 0.732 (0.770)	Data 0.001 (0.001)	Loss 2.6625 (2.7572)	Prec@1 30.469 (34.262)	Prec@5 66.406 (64.624)
Epoch: [21][7030/14090]	Time 0.760 (0.770)	Data 0.001 (0.001)	Loss 2.6746 (2.7573)	Prec@1 39.844 (34.262)	Prec@5 64.062 (64.625)
Epoch: [21][7040/14090]	Time 0.755 (0.770)	Data 0.001 (0.001)	Loss 2.5297 (2.7572)	Prec@1 39.062 (34.264)	Prec@5 71.094 (64.626)
Epoch: [21][7050/14090]	Time 0.891 (0.770)	Data 0.001 (0.001)	Loss 2.7402 (2.7572)	Prec@1 35.156 (34.264)	Prec@5 64.062 (64.627)
Epoch: [21][7060/14090]	Time 0.758 (0.770)	Data 0.001 (0.001)	Loss 2.9629 (2.7571)	Prec@1 31.250 (34.265)	Prec@5 60.156 (64.628)
Epoch: [21][7070/14090]	Time 0.753 (0.770)	Data 0.001 (0.001)	Loss 2.8527 (2.7572)	Prec@1 31.250 (34.265)	Prec@5 59.375 (64.627)
Epoch: [21][7080/14090]	Time 0.788 (0.770)	Data 0.001 (0.001)	Loss 2.9625 (2.7573)	Prec@1 19.531 (34.260)	Prec@5 60.938 (64.625)
Epoch: [21][7090/14090]	Time 0.738 (0.770)	Data 0.001 (0.001)	Loss 2.5055 (2.7572)	Prec@1 38.281 (34.258)	Prec@5 65.625 (64.625)
Epoch: [21][7100/14090]	Time 0.754 (0.770)	Data 0.001 (0.001)	Loss 3.2478 (2.7574)	Prec@1 25.000 (34.257)	Prec@5 57.812 (64.623)
Epoch: [21][7110/14090]	Time 0.739 (0.770)	Data 0.001 (0.001)	Loss 2.9739 (2.7573)	Prec@1 28.125 (34.258)	Prec@5 59.375 (64.624)
Epoch: [21][7120/14090]	Time 0.881 (0.770)	Data 0.001 (0.001)	Loss 2.4487 (2.7573)	Prec@1 40.625 (34.257)	Prec@5 70.312 (64.626)
Epoch: [21][7130/14090]	Time 0.749 (0.770)	Data 0.001 (0.001)	Loss 2.6583 (2.7572)	Prec@1 38.281 (34.261)	Prec@5 59.375 (64.626)
Epoch: [21][7140/14090]	Time 0.759 (0.770)	Data 0.001 (0.001)	Loss 2.8423 (2.7573)	Prec@1 31.250 (34.260)	Prec@5 61.719 (64.624)
Epoch: [21][7150/14090]	Time 0.732 (0.770)	Data 0.001 (0.001)	Loss 2.7478 (2.7573)	Prec@1 32.031 (34.261)	Prec@5 61.719 (64.626)
Epoch: [21][7160/14090]	Time 0.744 (0.770)	Data 0.002 (0.001)	Loss 2.3509 (2.7573)	Prec@1 41.406 (34.258)	Prec@5 70.312 (64.624)
Epoch: [21][7170/14090]	Time 0.763 (0.770)	Data 0.001 (0.001)	Loss 2.6470 (2.7573)	Prec@1 37.500 (34.259)	Prec@5 61.719 (64.624)
Epoch: [21][7180/14090]	Time 0.743 (0.770)	Data 0.001 (0.001)	Loss 2.8965 (2.7572)	Prec@1 31.250 (34.261)	Prec@5 63.281 (64.624)
Epoch: [21][7190/14090]	Time 0.841 (0.770)	Data 0.001 (0.001)	Loss 2.8258 (2.7573)	Prec@1 30.469 (34.259)	Prec@5 61.719 (64.621)
Epoch: [21][7200/14090]	Time 0.749 (0.770)	Data 0.001 (0.001)	Loss 3.1470 (2.7575)	Prec@1 25.000 (34.256)	Prec@5 56.250 (64.617)
Epoch: [21][7210/14090]	Time 0.755 (0.770)	Data 0.001 (0.001)	Loss 2.7898 (2.7574)	Prec@1 31.250 (34.255)	Prec@5 64.062 (64.618)
Epoch: [21][7220/14090]	Time 0.732 (0.770)	Data 0.001 (0.001)	Loss 2.8735 (2.7573)	Prec@1 32.031 (34.256)	Prec@5 66.406 (64.621)
Epoch: [21][7230/14090]	Time 0.756 (0.770)	Data 0.001 (0.001)	Loss 2.4915 (2.7573)	Prec@1 33.594 (34.258)	Prec@5 72.656 (64.623)
Epoch: [21][7240/14090]	Time 0.735 (0.770)	Data 0.001 (0.001)	Loss 2.8781 (2.7573)	Prec@1 32.812 (34.256)	Prec@5 58.594 (64.623)
Epoch: [21][7250/14090]	Time 0.736 (0.770)	Data 0.001 (0.001)	Loss 2.8888 (2.7572)	Prec@1 29.688 (34.258)	Prec@5 61.719 (64.625)
Epoch: [21][7260/14090]	Time 0.881 (0.770)	Data 0.002 (0.001)	Loss 2.8543 (2.7574)	Prec@1 35.938 (34.256)	Prec@5 61.719 (64.622)
Epoch: [21][7270/14090]	Time 0.750 (0.770)	Data 0.001 (0.001)	Loss 2.6230 (2.7574)	Prec@1 35.938 (34.255)	Prec@5 70.312 (64.621)
Epoch: [21][7280/14090]	Time 0.724 (0.770)	Data 0.001 (0.001)	Loss 2.5356 (2.7574)	Prec@1 35.938 (34.255)	Prec@5 67.188 (64.621)
Epoch: [21][7290/14090]	Time 0.743 (0.770)	Data 0.001 (0.001)	Loss 2.6204 (2.7573)	Prec@1 37.500 (34.257)	Prec@5 66.406 (64.622)
Epoch: [21][7300/14090]	Time 0.752 (0.770)	Data 0.001 (0.001)	Loss 2.8772 (2.7574)	Prec@1 28.906 (34.255)	Prec@5 64.062 (64.620)
Epoch: [21][7310/14090]	Time 0.759 (0.770)	Data 0.001 (0.001)	Loss 2.8841 (2.7574)	Prec@1 32.031 (34.256)	Prec@5 62.500 (64.620)
Epoch: [21][7320/14090]	Time 0.745 (0.770)	Data 0.001 (0.001)	Loss 2.8432 (2.7575)	Prec@1 35.156 (34.254)	Prec@5 64.062 (64.618)
Epoch: [21][7330/14090]	Time 0.896 (0.770)	Data 0.001 (0.001)	Loss 3.1965 (2.7576)	Prec@1 32.031 (34.252)	Prec@5 61.719 (64.619)
Epoch: [21][7340/14090]	Time 0.754 (0.770)	Data 0.001 (0.001)	Loss 2.6173 (2.7578)	Prec@1 38.281 (34.248)	Prec@5 69.531 (64.613)
Epoch: [21][7350/14090]	Time 0.780 (0.770)	Data 0.001 (0.001)	Loss 2.8391 (2.7578)	Prec@1 35.938 (34.247)	Prec@5 60.938 (64.612)
Epoch: [21][7360/14090]	Time 0.743 (0.770)	Data 0.001 (0.001)	Loss 2.7323 (2.7577)	Prec@1 34.375 (34.250)	Prec@5 66.406 (64.614)
Epoch: [21][7370/14090]	Time 0.779 (0.770)	Data 0.001 (0.001)	Loss 2.8324 (2.7578)	Prec@1 28.906 (34.248)	Prec@5 64.844 (64.614)
Epoch: [21][7380/14090]	Time 0.733 (0.770)	Data 0.001 (0.001)	Loss 2.7768 (2.7578)	Prec@1 35.156 (34.248)	Prec@5 59.375 (64.612)
Epoch: [21][7390/14090]	Time 0.759 (0.770)	Data 0.001 (0.001)	Loss 2.4737 (2.7577)	Prec@1 42.969 (34.252)	Prec@5 67.969 (64.613)
Epoch: [21][7400/14090]	Time 0.897 (0.770)	Data 0.001 (0.001)	Loss 2.9978 (2.7578)	Prec@1 26.562 (34.249)	Prec@5 60.156 (64.612)
Epoch: [21][7410/14090]	Time 0.766 (0.770)	Data 0.001 (0.001)	Loss 2.8906 (2.7579)	Prec@1 35.156 (34.250)	Prec@5 60.938 (64.608)
Epoch: [21][7420/14090]	Time 0.756 (0.770)	Data 0.001 (0.001)	Loss 2.7787 (2.7581)	Prec@1 34.375 (34.248)	Prec@5 65.625 (64.607)
Epoch: [21][7430/14090]	Time 0.757 (0.770)	Data 0.001 (0.001)	Loss 2.7204 (2.7581)	Prec@1 37.500 (34.251)	Prec@5 63.281 (64.606)
Epoch: [21][7440/14090]	Time 0.736 (0.770)	Data 0.001 (0.001)	Loss 2.6754 (2.7581)	Prec@1 35.156 (34.251)	Prec@5 67.188 (64.606)
Epoch: [21][7450/14090]	Time 0.769 (0.770)	Data 0.001 (0.001)	Loss 2.6807 (2.7582)	Prec@1 39.844 (34.249)	Prec@5 65.625 (64.605)
Epoch: [21][7460/14090]	Time 0.756 (0.770)	Data 0.001 (0.001)	Loss 2.8669 (2.7583)	Prec@1 32.031 (34.249)	Prec@5 60.156 (64.604)
Epoch: [21][7470/14090]	Time 0.893 (0.770)	Data 0.001 (0.001)	Loss 2.6418 (2.7584)	Prec@1 32.031 (34.246)	Prec@5 69.531 (64.602)
Epoch: [21][7480/14090]	Time 0.756 (0.770)	Data 0.001 (0.001)	Loss 2.7168 (2.7584)	Prec@1 36.719 (34.248)	Prec@5 68.750 (64.603)
Epoch: [21][7490/14090]	Time 0.760 (0.770)	Data 0.001 (0.001)	Loss 2.6307 (2.7583)	Prec@1 38.281 (34.248)	Prec@5 64.844 (64.603)
Epoch: [21][7500/14090]	Time 0.747 (0.770)	Data 0.001 (0.001)	Loss 2.4889 (2.7582)	Prec@1 37.500 (34.248)	Prec@5 70.312 (64.606)
Epoch: [21][7510/14090]	Time 0.765 (0.770)	Data 0.001 (0.001)	Loss 2.5463 (2.7581)	Prec@1 34.375 (34.248)	Prec@5 72.656 (64.608)
Epoch: [21][7520/14090]	Time 0.732 (0.770)	Data 0.001 (0.001)	Loss 2.2662 (2.7581)	Prec@1 41.406 (34.248)	Prec@5 78.125 (64.609)
Epoch: [21][7530/14090]	Time 0.746 (0.770)	Data 0.001 (0.001)	Loss 2.6801 (2.7581)	Prec@1 32.812 (34.248)	Prec@5 65.625 (64.607)
Epoch: [21][7540/14090]	Time 0.898 (0.770)	Data 0.001 (0.001)	Loss 2.6714 (2.7580)	Prec@1 33.594 (34.250)	Prec@5 65.625 (64.610)
Epoch: [21][7550/14090]	Time 0.743 (0.770)	Data 0.001 (0.001)	Loss 2.4675 (2.7579)	Prec@1 39.062 (34.252)	Prec@5 73.438 (64.611)
Epoch: [21][7560/14090]	Time 0.749 (0.770)	Data 0.001 (0.001)	Loss 2.7230 (2.7579)	Prec@1 31.250 (34.253)	Prec@5 67.188 (64.610)
Epoch: [21][7570/14090]	Time 0.769 (0.770)	Data 0.001 (0.001)	Loss 2.7858 (2.7580)	Prec@1 33.594 (34.255)	Prec@5 65.625 (64.610)
Epoch: [21][7580/14090]	Time 0.779 (0.770)	Data 0.001 (0.001)	Loss 2.7235 (2.7581)	Prec@1 36.719 (34.252)	Prec@5 67.969 (64.610)
Epoch: [21][7590/14090]	Time 0.761 (0.770)	Data 0.001 (0.001)	Loss 2.7704 (2.7581)	Prec@1 36.719 (34.252)	Prec@5 60.938 (64.609)
Epoch: [21][7600/14090]	Time 0.749 (0.770)	Data 0.001 (0.001)	Loss 2.6212 (2.7582)	Prec@1 37.500 (34.251)	Prec@5 64.844 (64.608)
Epoch: [21][7610/14090]	Time 0.885 (0.770)	Data 0.001 (0.001)	Loss 2.9065 (2.7581)	Prec@1 29.688 (34.252)	Prec@5 61.719 (64.608)
Epoch: [21][7620/14090]	Time 0.755 (0.770)	Data 0.001 (0.001)	Loss 2.7264 (2.7581)	Prec@1 35.156 (34.252)	Prec@5 59.375 (64.608)
Epoch: [21][7630/14090]	Time 0.769 (0.770)	Data 0.001 (0.001)	Loss 2.6105 (2.7580)	Prec@1 36.719 (34.253)	Prec@5 66.406 (64.608)
Epoch: [21][7640/14090]	Time 0.740 (0.770)	Data 0.001 (0.001)	Loss 2.6498 (2.7581)	Prec@1 36.719 (34.253)	Prec@5 67.188 (64.608)
Epoch: [21][7650/14090]	Time 0.753 (0.770)	Data 0.001 (0.001)	Loss 2.5341 (2.7580)	Prec@1 34.375 (34.253)	Prec@5 66.406 (64.607)
Epoch: [21][7660/14090]	Time 0.759 (0.770)	Data 0.001 (0.001)	Loss 2.5280 (2.7579)	Prec@1 42.969 (34.255)	Prec@5 65.625 (64.608)
Epoch: [21][7670/14090]	Time 0.744 (0.770)	Data 0.001 (0.001)	Loss 2.6841 (2.7579)	Prec@1 41.406 (34.254)	Prec@5 64.844 (64.607)
Epoch: [21][7680/14090]	Time 0.870 (0.770)	Data 0.001 (0.001)	Loss 2.6300 (2.7579)	Prec@1 33.594 (34.253)	Prec@5 67.188 (64.607)
Epoch: [21][7690/14090]	Time 0.740 (0.770)	Data 0.001 (0.001)	Loss 2.4751 (2.7578)	Prec@1 43.750 (34.255)	Prec@5 67.969 (64.609)
Epoch: [21][7700/14090]	Time 0.744 (0.770)	Data 0.001 (0.001)	Loss 2.7378 (2.7578)	Prec@1 34.375 (34.255)	Prec@5 66.406 (64.610)
Epoch: [21][7710/14090]	Time 0.767 (0.770)	Data 0.001 (0.001)	Loss 2.7204 (2.7579)	Prec@1 36.719 (34.253)	Prec@5 65.625 (64.610)
Epoch: [21][7720/14090]	Time 0.760 (0.770)	Data 0.001 (0.001)	Loss 2.9383 (2.7579)	Prec@1 29.688 (34.253)	Prec@5 62.500 (64.611)
Epoch: [21][7730/14090]	Time 0.725 (0.770)	Data 0.001 (0.001)	Loss 2.7537 (2.7578)	Prec@1 38.281 (34.256)	Prec@5 64.844 (64.614)
Epoch: [21][7740/14090]	Time 0.740 (0.770)	Data 0.001 (0.001)	Loss 2.5373 (2.7578)	Prec@1 32.812 (34.255)	Prec@5 69.531 (64.614)
Epoch: [21][7750/14090]	Time 1.025 (0.770)	Data 0.001 (0.001)	Loss 2.9631 (2.7578)	Prec@1 32.031 (34.255)	Prec@5 63.281 (64.614)
Epoch: [21][7760/14090]	Time 0.723 (0.770)	Data 0.001 (0.001)	Loss 3.0860 (2.7578)	Prec@1 30.469 (34.256)	Prec@5 57.812 (64.615)
Epoch: [21][7770/14090]	Time 0.744 (0.770)	Data 0.001 (0.001)	Loss 3.0905 (2.7579)	Prec@1 31.250 (34.257)	Prec@5 60.156 (64.615)
Epoch: [21][7780/14090]	Time 0.758 (0.770)	Data 0.002 (0.001)	Loss 2.8331 (2.7579)	Prec@1 33.594 (34.257)	Prec@5 63.281 (64.613)
Epoch: [21][7790/14090]	Time 0.749 (0.770)	Data 0.001 (0.001)	Loss 2.3849 (2.7578)	Prec@1 39.062 (34.257)	Prec@5 67.969 (64.615)
Epoch: [21][7800/14090]	Time 0.752 (0.770)	Data 0.001 (0.001)	Loss 2.9974 (2.7578)	Prec@1 32.031 (34.257)	Prec@5 62.500 (64.614)
Epoch: [21][7810/14090]	Time 0.730 (0.770)	Data 0.001 (0.001)	Loss 2.7652 (2.7578)	Prec@1 33.594 (34.258)	Prec@5 65.625 (64.614)
Epoch: [21][7820/14090]	Time 0.928 (0.770)	Data 0.001 (0.001)	Loss 2.5285 (2.7578)	Prec@1 43.750 (34.260)	Prec@5 70.312 (64.613)
Epoch: [21][7830/14090]	Time 0.728 (0.770)	Data 0.001 (0.001)	Loss 2.9893 (2.7579)	Prec@1 30.469 (34.259)	Prec@5 61.719 (64.612)
Epoch: [21][7840/14090]	Time 0.754 (0.770)	Data 0.001 (0.001)	Loss 2.7488 (2.7579)	Prec@1 30.469 (34.260)	Prec@5 66.406 (64.612)
Epoch: [21][7850/14090]	Time 0.750 (0.770)	Data 0.001 (0.001)	Loss 2.7375 (2.7579)	Prec@1 33.594 (34.259)	Prec@5 64.844 (64.611)
Epoch: [21][7860/14090]	Time 0.761 (0.770)	Data 0.001 (0.001)	Loss 3.1583 (2.7580)	Prec@1 27.344 (34.256)	Prec@5 51.562 (64.609)
Epoch: [21][7870/14090]	Time 0.748 (0.770)	Data 0.000 (0.001)	Loss 2.6324 (2.7580)	Prec@1 35.938 (34.258)	Prec@5 63.281 (64.611)
Epoch: [21][7880/14090]	Time 0.744 (0.770)	Data 0.001 (0.001)	Loss 2.6218 (2.7579)	Prec@1 36.719 (34.259)	Prec@5 63.281 (64.611)
Epoch: [21][7890/14090]	Time 0.866 (0.770)	Data 0.001 (0.001)	Loss 2.7002 (2.7579)	Prec@1 35.156 (34.257)	Prec@5 64.062 (64.610)
Epoch: [21][7900/14090]	Time 0.734 (0.770)	Data 0.001 (0.001)	Loss 2.8615 (2.7579)	Prec@1 34.375 (34.255)	Prec@5 63.281 (64.611)
Epoch: [21][7910/14090]	Time 0.742 (0.770)	Data 0.001 (0.001)	Loss 2.8410 (2.7578)	Prec@1 32.031 (34.257)	Prec@5 61.719 (64.613)
Epoch: [21][7920/14090]	Time 0.756 (0.770)	Data 0.001 (0.001)	Loss 2.5538 (2.7577)	Prec@1 44.531 (34.260)	Prec@5 69.531 (64.615)
Epoch: [21][7930/14090]	Time 0.735 (0.770)	Data 0.001 (0.001)	Loss 2.8778 (2.7577)	Prec@1 31.250 (34.261)	Prec@5 62.500 (64.615)
Epoch: [21][7940/14090]	Time 0.774 (0.770)	Data 0.001 (0.001)	Loss 2.6947 (2.7577)	Prec@1 36.719 (34.260)	Prec@5 65.625 (64.616)
Epoch: [21][7950/14090]	Time 0.748 (0.770)	Data 0.001 (0.001)	Loss 2.7969 (2.7578)	Prec@1 26.562 (34.257)	Prec@5 62.500 (64.614)
Epoch: [21][7960/14090]	Time 0.930 (0.770)	Data 0.001 (0.001)	Loss 2.6463 (2.7578)	Prec@1 36.719 (34.257)	Prec@5 65.625 (64.613)
Epoch: [21][7970/14090]	Time 0.731 (0.770)	Data 0.001 (0.001)	Loss 3.0184 (2.7579)	Prec@1 31.250 (34.254)	Prec@5 57.812 (64.610)
Epoch: [21][7980/14090]	Time 0.736 (0.770)	Data 0.001 (0.001)	Loss 2.5103 (2.7578)	Prec@1 35.938 (34.253)	Prec@5 71.094 (64.613)
Epoch: [21][7990/14090]	Time 0.745 (0.770)	Data 0.001 (0.001)	Loss 2.8652 (2.7579)	Prec@1 36.719 (34.253)	Prec@5 60.938 (64.610)
Epoch: [21][8000/14090]	Time 0.735 (0.770)	Data 0.001 (0.001)	Loss 2.4316 (2.7578)	Prec@1 38.281 (34.256)	Prec@5 71.875 (64.611)
Epoch: [21][8010/14090]	Time 0.727 (0.770)	Data 0.001 (0.001)	Loss 2.7709 (2.7578)	Prec@1 35.156 (34.255)	Prec@5 68.750 (64.613)
Epoch: [21][8020/14090]	Time 0.727 (0.770)	Data 0.001 (0.001)	Loss 2.6753 (2.7579)	Prec@1 39.062 (34.256)	Prec@5 68.750 (64.612)
Epoch: [21][8030/14090]	Time 0.981 (0.770)	Data 0.001 (0.001)	Loss 2.7985 (2.7579)	Prec@1 30.469 (34.256)	Prec@5 62.500 (64.613)
Epoch: [21][8040/14090]	Time 0.794 (0.770)	Data 0.001 (0.001)	Loss 2.8044 (2.7579)	Prec@1 29.688 (34.255)	Prec@5 67.188 (64.611)
Epoch: [21][8050/14090]	Time 0.735 (0.770)	Data 0.001 (0.001)	Loss 2.5399 (2.7580)	Prec@1 40.625 (34.255)	Prec@5 67.969 (64.611)
Epoch: [21][8060/14090]	Time 0.754 (0.770)	Data 0.001 (0.001)	Loss 3.0088 (2.7580)	Prec@1 28.125 (34.255)	Prec@5 57.812 (64.610)
Epoch: [21][8070/14090]	Time 0.743 (0.770)	Data 0.001 (0.001)	Loss 2.6789 (2.7579)	Prec@1 33.594 (34.255)	Prec@5 67.969 (64.612)
Epoch: [21][8080/14090]	Time 0.737 (0.770)	Data 0.001 (0.001)	Loss 2.6925 (2.7580)	Prec@1 32.031 (34.253)	Prec@5 67.969 (64.612)
Epoch: [21][8090/14090]	Time 0.724 (0.770)	Data 0.001 (0.001)	Loss 2.7585 (2.7580)	Prec@1 37.500 (34.252)	Prec@5 61.719 (64.609)
Epoch: [21][8100/14090]	Time 0.908 (0.770)	Data 0.001 (0.001)	Loss 2.7271 (2.7579)	Prec@1 35.938 (34.256)	Prec@5 67.969 (64.611)
Epoch: [21][8110/14090]	Time 0.767 (0.770)	Data 0.002 (0.001)	Loss 3.0185 (2.7580)	Prec@1 28.125 (34.255)	Prec@5 60.156 (64.609)
Epoch: [21][8120/14090]	Time 0.739 (0.770)	Data 0.001 (0.001)	Loss 2.5232 (2.7580)	Prec@1 40.625 (34.257)	Prec@5 69.531 (64.609)
Epoch: [21][8130/14090]	Time 0.787 (0.770)	Data 0.001 (0.001)	Loss 2.5754 (2.7579)	Prec@1 41.406 (34.257)	Prec@5 63.281 (64.609)
Epoch: [21][8140/14090]	Time 0.751 (0.770)	Data 0.001 (0.001)	Loss 2.9622 (2.7579)	Prec@1 30.469 (34.257)	Prec@5 57.812 (64.610)
Epoch: [21][8150/14090]	Time 0.727 (0.770)	Data 0.001 (0.001)	Loss 2.9321 (2.7580)	Prec@1 25.781 (34.255)	Prec@5 63.281 (64.608)
Epoch: [21][8160/14090]	Time 0.766 (0.770)	Data 0.001 (0.001)	Loss 2.6008 (2.7579)	Prec@1 39.844 (34.255)	Prec@5 67.188 (64.606)
Epoch: [21][8170/14090]	Time 0.947 (0.770)	Data 0.001 (0.001)	Loss 2.9431 (2.7579)	Prec@1 26.562 (34.255)	Prec@5 54.688 (64.606)
Epoch: [21][8180/14090]	Time 0.729 (0.770)	Data 0.001 (0.001)	Loss 2.9681 (2.7580)	Prec@1 27.344 (34.253)	Prec@5 64.844 (64.605)
Epoch: [21][8190/14090]	Time 0.770 (0.770)	Data 0.001 (0.001)	Loss 2.4711 (2.7580)	Prec@1 42.969 (34.255)	Prec@5 71.094 (64.606)
Epoch: [21][8200/14090]	Time 0.743 (0.770)	Data 0.001 (0.001)	Loss 3.0544 (2.7581)	Prec@1 28.906 (34.252)	Prec@5 57.031 (64.604)
Epoch: [21][8210/14090]	Time 0.760 (0.770)	Data 0.001 (0.001)	Loss 2.8532 (2.7582)	Prec@1 31.250 (34.250)	Prec@5 62.500 (64.602)
Epoch: [21][8220/14090]	Time 0.759 (0.770)	Data 0.001 (0.001)	Loss 3.0616 (2.7584)	Prec@1 29.688 (34.248)	Prec@5 56.250 (64.598)
Epoch: [21][8230/14090]	Time 0.757 (0.770)	Data 0.001 (0.001)	Loss 2.8803 (2.7585)	Prec@1 32.031 (34.248)	Prec@5 57.812 (64.595)
Epoch: [21][8240/14090]	Time 0.960 (0.770)	Data 0.001 (0.001)	Loss 2.8657 (2.7585)	Prec@1 25.000 (34.248)	Prec@5 64.062 (64.595)
Epoch: [21][8250/14090]	Time 0.756 (0.770)	Data 0.001 (0.001)	Loss 2.7637 (2.7585)	Prec@1 36.719 (34.248)	Prec@5 61.719 (64.593)
Epoch: [21][8260/14090]	Time 0.746 (0.770)	Data 0.001 (0.001)	Loss 2.6909 (2.7585)	Prec@1 35.938 (34.248)	Prec@5 66.406 (64.594)
Epoch: [21][8270/14090]	Time 0.727 (0.770)	Data 0.001 (0.001)	Loss 2.5895 (2.7585)	Prec@1 35.938 (34.248)	Prec@5 70.312 (64.595)
Epoch: [21][8280/14090]	Time 0.736 (0.770)	Data 0.001 (0.001)	Loss 2.7756 (2.7585)	Prec@1 36.719 (34.249)	Prec@5 65.625 (64.596)
Epoch: [21][8290/14090]	Time 0.778 (0.770)	Data 0.001 (0.001)	Loss 2.9378 (2.7584)	Prec@1 31.250 (34.248)	Prec@5 60.156 (64.595)
Epoch: [21][8300/14090]	Time 0.759 (0.770)	Data 0.001 (0.001)	Loss 2.8878 (2.7585)	Prec@1 34.375 (34.248)	Prec@5 61.719 (64.594)
Epoch: [21][8310/14090]	Time 0.876 (0.770)	Data 0.001 (0.001)	Loss 2.9704 (2.7586)	Prec@1 28.125 (34.247)	Prec@5 61.719 (64.594)
Epoch: [21][8320/14090]	Time 0.738 (0.770)	Data 0.001 (0.001)	Loss 2.6346 (2.7584)	Prec@1 39.844 (34.248)	Prec@5 67.969 (64.598)
Epoch: [21][8330/14090]	Time 0.732 (0.770)	Data 0.001 (0.001)	Loss 2.8556 (2.7585)	Prec@1 37.500 (34.246)	Prec@5 60.938 (64.597)
Epoch: [21][8340/14090]	Time 0.783 (0.770)	Data 0.001 (0.001)	Loss 2.6956 (2.7585)	Prec@1 33.594 (34.245)	Prec@5 67.969 (64.596)
Epoch: [21][8350/14090]	Time 0.769 (0.770)	Data 0.001 (0.001)	Loss 2.5489 (2.7586)	Prec@1 35.156 (34.243)	Prec@5 72.656 (64.596)
Epoch: [21][8360/14090]	Time 0.739 (0.770)	Data 0.001 (0.001)	Loss 3.1691 (2.7586)	Prec@1 30.469 (34.240)	Prec@5 54.688 (64.596)
Epoch: [21][8370/14090]	Time 0.735 (0.770)	Data 0.001 (0.001)	Loss 2.6849 (2.7585)	Prec@1 29.688 (34.240)	Prec@5 68.750 (64.599)
Epoch: [21][8380/14090]	Time 0.863 (0.770)	Data 0.001 (0.001)	Loss 3.0542 (2.7586)	Prec@1 27.344 (34.237)	Prec@5 57.031 (64.598)
Epoch: [21][8390/14090]	Time 0.743 (0.770)	Data 0.001 (0.001)	Loss 2.8827 (2.7587)	Prec@1 32.812 (34.236)	Prec@5 61.719 (64.598)
Epoch: [21][8400/14090]	Time 0.763 (0.770)	Data 0.001 (0.001)	Loss 2.9842 (2.7588)	Prec@1 32.812 (34.235)	Prec@5 59.375 (64.596)
Epoch: [21][8410/14090]	Time 0.757 (0.770)	Data 0.001 (0.001)	Loss 2.4972 (2.7588)	Prec@1 39.844 (34.236)	Prec@5 71.094 (64.595)
Epoch: [21][8420/14090]	Time 0.734 (0.770)	Data 0.001 (0.001)	Loss 2.5061 (2.7589)	Prec@1 42.969 (34.235)	Prec@5 67.969 (64.594)
Epoch: [21][8430/14090]	Time 0.728 (0.770)	Data 0.001 (0.001)	Loss 3.0841 (2.7590)	Prec@1 27.344 (34.233)	Prec@5 51.562 (64.590)
Epoch: [21][8440/14090]	Time 0.725 (0.770)	Data 0.001 (0.001)	Loss 2.7005 (2.7591)	Prec@1 36.719 (34.232)	Prec@5 64.844 (64.588)
Epoch: [21][8450/14090]	Time 0.896 (0.770)	Data 0.001 (0.001)	Loss 3.0522 (2.7592)	Prec@1 28.906 (34.232)	Prec@5 64.844 (64.588)
Epoch: [21][8460/14090]	Time 0.787 (0.770)	Data 0.001 (0.001)	Loss 2.8897 (2.7591)	Prec@1 39.844 (34.235)	Prec@5 64.844 (64.591)
Epoch: [21][8470/14090]	Time 0.730 (0.770)	Data 0.001 (0.001)	Loss 2.6992 (2.7591)	Prec@1 33.594 (34.235)	Prec@5 60.156 (64.592)
Epoch: [21][8480/14090]	Time 0.754 (0.770)	Data 0.001 (0.001)	Loss 2.6265 (2.7590)	Prec@1 31.250 (34.235)	Prec@5 66.406 (64.593)
Epoch: [21][8490/14090]	Time 0.728 (0.770)	Data 0.001 (0.001)	Loss 2.6497 (2.7589)	Prec@1 35.938 (34.236)	Prec@5 71.875 (64.595)
Epoch: [21][8500/14090]	Time 0.761 (0.770)	Data 0.001 (0.001)	Loss 2.7289 (2.7590)	Prec@1 38.281 (34.235)	Prec@5 67.969 (64.596)
Epoch: [21][8510/14090]	Time 0.733 (0.770)	Data 0.001 (0.001)	Loss 2.5499 (2.7590)	Prec@1 35.156 (34.235)	Prec@5 68.750 (64.595)
Epoch: [21][8520/14090]	Time 0.869 (0.770)	Data 0.001 (0.001)	Loss 2.9684 (2.7591)	Prec@1 30.469 (34.234)	Prec@5 60.156 (64.593)
Epoch: [21][8530/14090]	Time 0.765 (0.770)	Data 0.001 (0.001)	Loss 2.6629 (2.7590)	Prec@1 40.625 (34.235)	Prec@5 70.312 (64.594)
Epoch: [21][8540/14090]	Time 0.729 (0.770)	Data 0.001 (0.001)	Loss 3.1186 (2.7592)	Prec@1 21.875 (34.232)	Prec@5 60.156 (64.592)
Epoch: [21][8550/14090]	Time 0.770 (0.770)	Data 0.001 (0.001)	Loss 2.7491 (2.7592)	Prec@1 31.250 (34.231)	Prec@5 64.844 (64.593)
Epoch: [21][8560/14090]	Time 0.743 (0.770)	Data 0.001 (0.001)	Loss 2.7155 (2.7593)	Prec@1 34.375 (34.230)	Prec@5 65.625 (64.592)
Epoch: [21][8570/14090]	Time 0.742 (0.770)	Data 0.001 (0.001)	Loss 3.0662 (2.7593)	Prec@1 31.250 (34.229)	Prec@5 54.688 (64.592)
Epoch: [21][8580/14090]	Time 0.761 (0.770)	Data 0.001 (0.001)	Loss 2.6951 (2.7593)	Prec@1 37.500 (34.228)	Prec@5 65.625 (64.594)
Epoch: [21][8590/14090]	Time 0.843 (0.770)	Data 0.001 (0.001)	Loss 2.7597 (2.7593)	Prec@1 32.031 (34.228)	Prec@5 62.500 (64.594)
Epoch: [21][8600/14090]	Time 0.757 (0.770)	Data 0.001 (0.001)	Loss 3.0154 (2.7593)	Prec@1 30.469 (34.226)	Prec@5 59.375 (64.595)
Epoch: [21][8610/14090]	Time 0.787 (0.770)	Data 0.001 (0.001)	Loss 2.4433 (2.7593)	Prec@1 42.188 (34.227)	Prec@5 66.406 (64.595)
Epoch: [21][8620/14090]	Time 0.741 (0.770)	Data 0.001 (0.001)	Loss 2.4475 (2.7593)	Prec@1 38.281 (34.227)	Prec@5 71.094 (64.596)
Epoch: [21][8630/14090]	Time 0.754 (0.770)	Data 0.001 (0.001)	Loss 2.8307 (2.7592)	Prec@1 37.500 (34.228)	Prec@5 69.531 (64.599)
Epoch: [21][8640/14090]	Time 0.740 (0.770)	Data 0.001 (0.001)	Loss 2.6075 (2.7593)	Prec@1 36.719 (34.229)	Prec@5 67.188 (64.599)
Epoch: [21][8650/14090]	Time 0.773 (0.770)	Data 0.001 (0.001)	Loss 2.7883 (2.7594)	Prec@1 29.688 (34.228)	Prec@5 63.281 (64.596)
Epoch: [21][8660/14090]	Time 0.861 (0.770)	Data 0.001 (0.001)	Loss 2.9225 (2.7594)	Prec@1 30.469 (34.228)	Prec@5 64.062 (64.596)
Epoch: [21][8670/14090]	Time 0.732 (0.770)	Data 0.001 (0.001)	Loss 2.5380 (2.7594)	Prec@1 41.406 (34.228)	Prec@5 71.094 (64.595)
Epoch: [21][8680/14090]	Time 0.765 (0.770)	Data 0.001 (0.001)	Loss 2.9779 (2.7595)	Prec@1 30.469 (34.226)	Prec@5 57.031 (64.593)
Epoch: [21][8690/14090]	Time 0.738 (0.770)	Data 0.001 (0.001)	Loss 2.7350 (2.7594)	Prec@1 29.688 (34.227)	Prec@5 63.281 (64.593)
Epoch: [21][8700/14090]	Time 0.733 (0.770)	Data 0.001 (0.001)	Loss 3.2425 (2.7595)	Prec@1 25.781 (34.227)	Prec@5 57.812 (64.590)
Epoch: [21][8710/14090]	Time 0.763 (0.770)	Data 0.001 (0.001)	Loss 2.6528 (2.7596)	Prec@1 36.719 (34.227)	Prec@5 66.406 (64.588)
Epoch: [21][8720/14090]	Time 0.740 (0.770)	Data 0.001 (0.001)	Loss 2.7285 (2.7596)	Prec@1 37.500 (34.227)	Prec@5 62.500 (64.587)
Epoch: [21][8730/14090]	Time 0.907 (0.770)	Data 0.001 (0.001)	Loss 2.6644 (2.7595)	Prec@1 35.938 (34.229)	Prec@5 65.625 (64.590)
Epoch: [21][8740/14090]	Time 0.726 (0.770)	Data 0.001 (0.001)	Loss 2.8296 (2.7595)	Prec@1 37.500 (34.226)	Prec@5 66.406 (64.590)
Epoch: [21][8750/14090]	Time 0.785 (0.770)	Data 0.001 (0.001)	Loss 2.8096 (2.7595)	Prec@1 33.594 (34.227)	Prec@5 61.719 (64.591)
Epoch: [21][8760/14090]	Time 0.762 (0.770)	Data 0.001 (0.001)	Loss 2.8327 (2.7595)	Prec@1 33.594 (34.228)	Prec@5 64.062 (64.592)
Epoch: [21][8770/14090]	Time 0.751 (0.770)	Data 0.001 (0.001)	Loss 2.9229 (2.7595)	Prec@1 35.938 (34.229)	Prec@5 61.719 (64.591)
Epoch: [21][8780/14090]	Time 0.737 (0.770)	Data 0.001 (0.001)	Loss 2.6432 (2.7594)	Prec@1 34.375 (34.231)	Prec@5 68.750 (64.591)
Epoch: [21][8790/14090]	Time 0.720 (0.770)	Data 0.001 (0.001)	Loss 2.7575 (2.7594)	Prec@1 32.031 (34.231)	Prec@5 63.281 (64.593)
Epoch: [21][8800/14090]	Time 0.836 (0.770)	Data 0.001 (0.001)	Loss 2.6381 (2.7594)	Prec@1 37.500 (34.231)	Prec@5 66.406 (64.592)
Epoch: [21][8810/14090]	Time 0.735 (0.770)	Data 0.001 (0.001)	Loss 2.8834 (2.7594)	Prec@1 34.375 (34.229)	Prec@5 60.938 (64.591)
Epoch: [21][8820/14090]	Time 0.739 (0.770)	Data 0.001 (0.001)	Loss 2.4890 (2.7595)	Prec@1 41.406 (34.229)	Prec@5 70.312 (64.589)
Epoch: [21][8830/14090]	Time 0.759 (0.770)	Data 0.001 (0.001)	Loss 2.5648 (2.7595)	Prec@1 37.500 (34.230)	Prec@5 63.281 (64.587)
Epoch: [21][8840/14090]	Time 0.755 (0.770)	Data 0.001 (0.001)	Loss 2.7763 (2.7595)	Prec@1 32.031 (34.231)	Prec@5 65.625 (64.588)
Epoch: [21][8850/14090]	Time 0.747 (0.770)	Data 0.001 (0.001)	Loss 2.8453 (2.7594)	Prec@1 25.781 (34.232)	Prec@5 61.719 (64.589)
Epoch: [21][8860/14090]	Time 0.751 (0.770)	Data 0.001 (0.001)	Loss 2.9943 (2.7594)	Prec@1 32.812 (34.231)	Prec@5 60.938 (64.590)
Epoch: [21][8870/14090]	Time 0.915 (0.770)	Data 0.001 (0.001)	Loss 3.0033 (2.7594)	Prec@1 28.906 (34.233)	Prec@5 59.375 (64.591)
Epoch: [21][8880/14090]	Time 0.742 (0.770)	Data 0.001 (0.001)	Loss 2.7258 (2.7594)	Prec@1 35.156 (34.232)	Prec@5 68.750 (64.591)
Epoch: [21][8890/14090]	Time 0.757 (0.770)	Data 0.001 (0.001)	Loss 2.9136 (2.7594)	Prec@1 33.594 (34.231)	Prec@5 57.812 (64.592)
Epoch: [21][8900/14090]	Time 0.736 (0.770)	Data 0.001 (0.001)	Loss 2.6753 (2.7594)	Prec@1 31.250 (34.232)	Prec@5 67.188 (64.591)
Epoch: [21][8910/14090]	Time 0.763 (0.770)	Data 0.001 (0.001)	Loss 2.7823 (2.7595)	Prec@1 35.156 (34.229)	Prec@5 57.812 (64.589)
Epoch: [21][8920/14090]	Time 0.747 (0.770)	Data 0.001 (0.001)	Loss 2.9423 (2.7595)	Prec@1 40.625 (34.230)	Prec@5 64.062 (64.589)
Epoch: [21][8930/14090]	Time 0.760 (0.770)	Data 0.001 (0.001)	Loss 2.7163 (2.7594)	Prec@1 33.594 (34.230)	Prec@5 68.750 (64.590)
Epoch: [21][8940/14090]	Time 0.886 (0.770)	Data 0.001 (0.001)	Loss 2.8101 (2.7595)	Prec@1 35.938 (34.228)	Prec@5 57.031 (64.589)
Epoch: [21][8950/14090]	Time 0.736 (0.770)	Data 0.001 (0.001)	Loss 2.4993 (2.7595)	Prec@1 39.062 (34.229)	Prec@5 67.969 (64.591)
Epoch: [21][8960/14090]	Time 0.733 (0.770)	Data 0.001 (0.001)	Loss 2.5570 (2.7595)	Prec@1 39.062 (34.227)	Prec@5 71.094 (64.590)
Epoch: [21][8970/14090]	Time 0.738 (0.770)	Data 0.001 (0.001)	Loss 2.5652 (2.7596)	Prec@1 38.281 (34.227)	Prec@5 70.312 (64.589)
Epoch: [21][8980/14090]	Time 0.762 (0.770)	Data 0.001 (0.001)	Loss 2.9855 (2.7596)	Prec@1 31.250 (34.225)	Prec@5 57.031 (64.588)
Epoch: [21][8990/14090]	Time 0.737 (0.770)	Data 0.001 (0.001)	Loss 2.7549 (2.7596)	Prec@1 34.375 (34.224)	Prec@5 62.500 (64.588)
Epoch: [21][9000/14090]	Time 0.782 (0.770)	Data 0.001 (0.001)	Loss 2.8482 (2.7596)	Prec@1 36.719 (34.224)	Prec@5 65.625 (64.589)
Epoch: [21][9010/14090]	Time 0.845 (0.770)	Data 0.001 (0.001)	Loss 2.7927 (2.7596)	Prec@1 34.375 (34.224)	Prec@5 66.406 (64.589)
Epoch: [21][9020/14090]	Time 0.753 (0.770)	Data 0.001 (0.001)	Loss 2.9634 (2.7596)	Prec@1 29.688 (34.223)	Prec@5 59.375 (64.589)
Epoch: [21][9030/14090]	Time 0.746 (0.770)	Data 0.001 (0.001)	Loss 2.7940 (2.7596)	Prec@1 40.625 (34.223)	Prec@5 60.938 (64.590)
Epoch: [21][9040/14090]	Time 0.779 (0.770)	Data 0.001 (0.001)	Loss 2.7376 (2.7595)	Prec@1 30.469 (34.223)	Prec@5 63.281 (64.592)
Epoch: [21][9050/14090]	Time 0.738 (0.770)	Data 0.001 (0.001)	Loss 2.6418 (2.7594)	Prec@1 35.156 (34.224)	Prec@5 65.625 (64.592)
Epoch: [21][9060/14090]	Time 0.761 (0.770)	Data 0.001 (0.001)	Loss 2.8955 (2.7594)	Prec@1 33.594 (34.225)	Prec@5 59.375 (64.591)
Epoch: [21][9070/14090]	Time 0.735 (0.770)	Data 0.001 (0.001)	Loss 2.9729 (2.7594)	Prec@1 28.906 (34.225)	Prec@5 59.375 (64.590)
Epoch: [21][9080/14090]	Time 0.867 (0.770)	Data 0.001 (0.001)	Loss 2.6335 (2.7595)	Prec@1 32.812 (34.223)	Prec@5 69.531 (64.588)
Epoch: [21][9090/14090]	Time 0.753 (0.770)	Data 0.001 (0.001)	Loss 2.7144 (2.7595)	Prec@1 39.062 (34.224)	Prec@5 62.500 (64.590)
Epoch: [21][9100/14090]	Time 0.752 (0.770)	Data 0.001 (0.001)	Loss 2.5128 (2.7595)	Prec@1 38.281 (34.225)	Prec@5 71.875 (64.589)
Epoch: [21][9110/14090]	Time 0.752 (0.770)	Data 0.001 (0.001)	Loss 2.7020 (2.7594)	Prec@1 31.250 (34.227)	Prec@5 60.938 (64.592)
Epoch: [21][9120/14090]	Time 0.739 (0.769)	Data 0.001 (0.001)	Loss 2.9033 (2.7594)	Prec@1 31.250 (34.226)	Prec@5 60.156 (64.591)
Epoch: [21][9130/14090]	Time 0.756 (0.770)	Data 0.001 (0.001)	Loss 2.8536 (2.7594)	Prec@1 38.281 (34.227)	Prec@5 60.156 (64.590)
Epoch: [21][9140/14090]	Time 0.775 (0.769)	Data 0.001 (0.001)	Loss 3.0115 (2.7594)	Prec@1 34.375 (34.228)	Prec@5 59.375 (64.589)
Epoch: [21][9150/14090]	Time 0.873 (0.769)	Data 0.001 (0.001)	Loss 2.8584 (2.7594)	Prec@1 35.938 (34.227)	Prec@5 57.812 (64.590)
Epoch: [21][9160/14090]	Time 0.734 (0.769)	Data 0.001 (0.001)	Loss 2.8205 (2.7594)	Prec@1 35.938 (34.227)	Prec@5 62.500 (64.589)
Epoch: [21][9170/14090]	Time 0.743 (0.769)	Data 0.001 (0.001)	Loss 2.8017 (2.7595)	Prec@1 35.938 (34.225)	Prec@5 61.719 (64.587)
Epoch: [21][9180/14090]	Time 0.764 (0.769)	Data 0.001 (0.001)	Loss 2.8241 (2.7595)	Prec@1 34.375 (34.224)	Prec@5 64.062 (64.586)
Epoch: [21][9190/14090]	Time 0.780 (0.769)	Data 0.001 (0.001)	Loss 2.8831 (2.7596)	Prec@1 28.906 (34.221)	Prec@5 60.156 (64.585)
Epoch: [21][9200/14090]	Time 0.734 (0.769)	Data 0.001 (0.001)	Loss 2.5751 (2.7596)	Prec@1 39.062 (34.220)	Prec@5 69.531 (64.586)
Epoch: [21][9210/14090]	Time 0.751 (0.769)	Data 0.001 (0.001)	Loss 2.4328 (2.7594)	Prec@1 39.844 (34.222)	Prec@5 65.625 (64.588)
Epoch: [21][9220/14090]	Time 0.870 (0.769)	Data 0.001 (0.001)	Loss 2.8489 (2.7595)	Prec@1 37.500 (34.222)	Prec@5 67.188 (64.587)
Epoch: [21][9230/14090]	Time 0.763 (0.769)	Data 0.001 (0.001)	Loss 2.8929 (2.7596)	Prec@1 28.906 (34.220)	Prec@5 60.938 (64.584)
Epoch: [21][9240/14090]	Time 0.737 (0.769)	Data 0.001 (0.001)	Loss 2.8624 (2.7595)	Prec@1 33.594 (34.223)	Prec@5 60.156 (64.585)
Epoch: [21][9250/14090]	Time 0.773 (0.769)	Data 0.001 (0.001)	Loss 2.8960 (2.7595)	Prec@1 27.344 (34.221)	Prec@5 63.281 (64.585)
Epoch: [21][9260/14090]	Time 0.740 (0.769)	Data 0.001 (0.001)	Loss 2.5963 (2.7595)	Prec@1 31.250 (34.221)	Prec@5 66.406 (64.586)
Epoch: [21][9270/14090]	Time 0.757 (0.769)	Data 0.001 (0.001)	Loss 2.7207 (2.7594)	Prec@1 32.812 (34.222)	Prec@5 67.969 (64.588)
Epoch: [21][9280/14090]	Time 0.724 (0.769)	Data 0.001 (0.001)	Loss 2.6983 (2.7594)	Prec@1 31.250 (34.222)	Prec@5 65.625 (64.589)
Epoch: [21][9290/14090]	Time 0.852 (0.769)	Data 0.001 (0.001)	Loss 2.8708 (2.7595)	Prec@1 31.250 (34.221)	Prec@5 62.500 (64.587)
Epoch: [21][9300/14090]	Time 0.733 (0.769)	Data 0.001 (0.001)	Loss 2.7845 (2.7594)	Prec@1 35.156 (34.221)	Prec@5 65.625 (64.589)
Epoch: [21][9310/14090]	Time 0.723 (0.769)	Data 0.001 (0.001)	Loss 2.6258 (2.7594)	Prec@1 34.375 (34.220)	Prec@5 67.969 (64.589)
Epoch: [21][9320/14090]	Time 0.726 (0.769)	Data 0.001 (0.001)	Loss 2.5798 (2.7594)	Prec@1 35.156 (34.218)	Prec@5 64.844 (64.588)
Epoch: [21][9330/14090]	Time 0.735 (0.769)	Data 0.001 (0.001)	Loss 2.7290 (2.7594)	Prec@1 34.375 (34.219)	Prec@5 65.625 (64.588)
Epoch: [21][9340/14090]	Time 0.770 (0.769)	Data 0.001 (0.001)	Loss 2.4606 (2.7594)	Prec@1 39.062 (34.219)	Prec@5 70.312 (64.590)
Epoch: [21][9350/14090]	Time 0.734 (0.769)	Data 0.001 (0.001)	Loss 2.8334 (2.7593)	Prec@1 35.938 (34.218)	Prec@5 66.406 (64.592)
Epoch: [21][9360/14090]	Time 0.842 (0.769)	Data 0.001 (0.001)	Loss 2.6246 (2.7592)	Prec@1 32.812 (34.220)	Prec@5 64.844 (64.594)
Epoch: [21][9370/14090]	Time 0.736 (0.769)	Data 0.001 (0.001)	Loss 2.6345 (2.7592)	Prec@1 36.719 (34.219)	Prec@5 64.844 (64.593)
Epoch: [21][9380/14090]	Time 0.733 (0.769)	Data 0.001 (0.001)	Loss 2.4809 (2.7593)	Prec@1 38.281 (34.217)	Prec@5 70.312 (64.592)
Epoch: [21][9390/14090]	Time 0.736 (0.769)	Data 0.001 (0.001)	Loss 2.4988 (2.7593)	Prec@1 40.625 (34.217)	Prec@5 75.781 (64.592)
Epoch: [21][9400/14090]	Time 0.749 (0.769)	Data 0.001 (0.001)	Loss 2.8979 (2.7594)	Prec@1 30.469 (34.216)	Prec@5 60.156 (64.593)
Epoch: [21][9410/14090]	Time 0.746 (0.769)	Data 0.001 (0.001)	Loss 2.6371 (2.7592)	Prec@1 35.938 (34.219)	Prec@5 67.969 (64.597)
Epoch: [21][9420/14090]	Time 0.747 (0.769)	Data 0.001 (0.001)	Loss 2.8393 (2.7593)	Prec@1 34.375 (34.219)	Prec@5 61.719 (64.597)
Epoch: [21][9430/14090]	Time 0.815 (0.769)	Data 0.001 (0.001)	Loss 2.8223 (2.7592)	Prec@1 31.250 (34.219)	Prec@5 63.281 (64.598)
Epoch: [21][9440/14090]	Time 0.741 (0.769)	Data 0.001 (0.001)	Loss 2.5691 (2.7592)	Prec@1 40.625 (34.219)	Prec@5 68.750 (64.599)
Epoch: [21][9450/14090]	Time 0.737 (0.769)	Data 0.001 (0.001)	Loss 2.6650 (2.7592)	Prec@1 36.719 (34.219)	Prec@5 64.062 (64.599)
Epoch: [21][9460/14090]	Time 0.750 (0.769)	Data 0.001 (0.001)	Loss 2.8815 (2.7593)	Prec@1 33.594 (34.219)	Prec@5 63.281 (64.598)
Epoch: [21][9470/14090]	Time 0.735 (0.769)	Data 0.001 (0.001)	Loss 2.5933 (2.7592)	Prec@1 38.281 (34.221)	Prec@5 64.062 (64.599)
Epoch: [21][9480/14090]	Time 0.755 (0.769)	Data 0.001 (0.001)	Loss 2.7863 (2.7592)	Prec@1 35.156 (34.220)	Prec@5 64.844 (64.598)
Epoch: [21][9490/14090]	Time 0.751 (0.769)	Data 0.001 (0.001)	Loss 2.8824 (2.7592)	Prec@1 35.156 (34.220)	Prec@5 67.969 (64.596)
Epoch: [21][9500/14090]	Time 0.817 (0.769)	Data 0.001 (0.001)	Loss 2.8669 (2.7593)	Prec@1 32.812 (34.217)	Prec@5 66.406 (64.594)
Epoch: [21][9510/14090]	Time 0.763 (0.769)	Data 0.001 (0.001)	Loss 2.8185 (2.7593)	Prec@1 35.938 (34.218)	Prec@5 63.281 (64.596)
Epoch: [21][9520/14090]	Time 0.736 (0.769)	Data 0.001 (0.001)	Loss 2.7458 (2.7593)	Prec@1 36.719 (34.217)	Prec@5 63.281 (64.595)
Epoch: [21][9530/14090]	Time 0.746 (0.769)	Data 0.001 (0.001)	Loss 3.2431 (2.7593)	Prec@1 28.906 (34.216)	Prec@5 52.344 (64.595)
Epoch: [21][9540/14090]	Time 0.753 (0.769)	Data 0.001 (0.001)	Loss 2.8870 (2.7593)	Prec@1 35.156 (34.217)	Prec@5 63.281 (64.596)
Epoch: [21][9550/14090]	Time 0.770 (0.769)	Data 0.001 (0.001)	Loss 2.9229 (2.7594)	Prec@1 25.000 (34.215)	Prec@5 60.938 (64.596)
Epoch: [21][9560/14090]	Time 0.754 (0.769)	Data 0.001 (0.001)	Loss 2.4778 (2.7593)	Prec@1 39.062 (34.215)	Prec@5 67.969 (64.597)
Epoch: [21][9570/14090]	Time 0.879 (0.769)	Data 0.001 (0.001)	Loss 2.5841 (2.7592)	Prec@1 38.281 (34.218)	Prec@5 68.750 (64.599)
Epoch: [21][9580/14090]	Time 0.740 (0.769)	Data 0.001 (0.001)	Loss 2.7382 (2.7592)	Prec@1 30.469 (34.219)	Prec@5 65.625 (64.599)
Epoch: [21][9590/14090]	Time 0.749 (0.769)	Data 0.001 (0.001)	Loss 2.5084 (2.7592)	Prec@1 38.281 (34.220)	Prec@5 69.531 (64.598)
Epoch: [21][9600/14090]	Time 0.732 (0.769)	Data 0.001 (0.001)	Loss 2.6029 (2.7593)	Prec@1 39.844 (34.220)	Prec@5 68.750 (64.596)
Epoch: [21][9610/14090]	Time 0.731 (0.769)	Data 0.001 (0.001)	Loss 2.7663 (2.7593)	Prec@1 34.375 (34.223)	Prec@5 64.062 (64.597)
Epoch: [21][9620/14090]	Time 0.729 (0.769)	Data 0.001 (0.001)	Loss 2.6460 (2.7593)	Prec@1 41.406 (34.222)	Prec@5 67.188 (64.596)
Epoch: [21][9630/14090]	Time 0.730 (0.769)	Data 0.001 (0.001)	Loss 2.6162 (2.7592)	Prec@1 32.812 (34.223)	Prec@5 67.969 (64.597)
Epoch: [21][9640/14090]	Time 0.853 (0.769)	Data 0.001 (0.001)	Loss 3.1797 (2.7592)	Prec@1 26.562 (34.222)	Prec@5 57.031 (64.595)
Epoch: [21][9650/14090]	Time 0.735 (0.769)	Data 0.001 (0.001)	Loss 2.6080 (2.7592)	Prec@1 26.562 (34.222)	Prec@5 69.531 (64.596)
Epoch: [21][9660/14090]	Time 0.743 (0.769)	Data 0.001 (0.001)	Loss 2.8310 (2.7592)	Prec@1 32.812 (34.222)	Prec@5 64.062 (64.594)
Epoch: [21][9670/14090]	Time 0.753 (0.769)	Data 0.001 (0.001)	Loss 2.5160 (2.7590)	Prec@1 34.375 (34.226)	Prec@5 74.219 (64.600)
Epoch: [21][9680/14090]	Time 0.757 (0.769)	Data 0.001 (0.001)	Loss 3.2200 (2.7590)	Prec@1 28.906 (34.227)	Prec@5 53.906 (64.600)
Epoch: [21][9690/14090]	Time 0.751 (0.769)	Data 0.001 (0.001)	Loss 2.7135 (2.7590)	Prec@1 35.156 (34.228)	Prec@5 67.188 (64.602)
Epoch: [21][9700/14090]	Time 0.766 (0.769)	Data 0.001 (0.001)	Loss 2.9917 (2.7590)	Prec@1 28.125 (34.226)	Prec@5 58.594 (64.600)
Epoch: [21][9710/14090]	Time 0.847 (0.769)	Data 0.001 (0.001)	Loss 2.7475 (2.7590)	Prec@1 35.938 (34.228)	Prec@5 65.625 (64.602)
Epoch: [21][9720/14090]	Time 0.758 (0.769)	Data 0.001 (0.001)	Loss 2.7199 (2.7589)	Prec@1 32.812 (34.230)	Prec@5 62.500 (64.603)
Epoch: [21][9730/14090]	Time 0.782 (0.769)	Data 0.001 (0.001)	Loss 2.6880 (2.7588)	Prec@1 35.156 (34.232)	Prec@5 60.938 (64.602)
Epoch: [21][9740/14090]	Time 0.725 (0.769)	Data 0.001 (0.001)	Loss 2.8773 (2.7589)	Prec@1 32.812 (34.232)	Prec@5 62.500 (64.600)
Epoch: [21][9750/14090]	Time 0.740 (0.769)	Data 0.001 (0.001)	Loss 2.7282 (2.7588)	Prec@1 31.250 (34.233)	Prec@5 60.938 (64.602)
Epoch: [21][9760/14090]	Time 0.745 (0.769)	Data 0.001 (0.001)	Loss 2.8729 (2.7588)	Prec@1 29.688 (34.233)	Prec@5 60.156 (64.602)
Epoch: [21][9770/14090]	Time 0.736 (0.769)	Data 0.001 (0.001)	Loss 2.7185 (2.7588)	Prec@1 36.719 (34.232)	Prec@5 66.406 (64.602)
Epoch: [21][9780/14090]	Time 0.804 (0.769)	Data 0.001 (0.001)	Loss 2.8789 (2.7588)	Prec@1 32.031 (34.233)	Prec@5 64.844 (64.602)
Epoch: [21][9790/14090]	Time 0.734 (0.769)	Data 0.001 (0.001)	Loss 2.6923 (2.7589)	Prec@1 32.812 (34.232)	Prec@5 72.656 (64.601)
Epoch: [21][9800/14090]	Time 0.746 (0.769)	Data 0.001 (0.001)	Loss 2.7406 (2.7588)	Prec@1 35.156 (34.231)	Prec@5 64.844 (64.600)
Epoch: [21][9810/14090]	Time 0.750 (0.769)	Data 0.001 (0.001)	Loss 2.4570 (2.7588)	Prec@1 35.156 (34.232)	Prec@5 73.438 (64.602)
Epoch: [21][9820/14090]	Time 0.762 (0.769)	Data 0.001 (0.001)	Loss 2.8841 (2.7588)	Prec@1 32.031 (34.232)	Prec@5 66.406 (64.601)
Epoch: [21][9830/14090]	Time 0.755 (0.769)	Data 0.001 (0.001)	Loss 2.7769 (2.7588)	Prec@1 35.156 (34.233)	Prec@5 66.406 (64.600)
Epoch: [21][9840/14090]	Time 0.760 (0.769)	Data 0.001 (0.001)	Loss 2.7966 (2.7589)	Prec@1 35.156 (34.231)	Prec@5 60.938 (64.601)
Epoch: [21][9850/14090]	Time 0.848 (0.769)	Data 0.001 (0.001)	Loss 2.9565 (2.7589)	Prec@1 35.156 (34.232)	Prec@5 60.156 (64.601)
Epoch: [21][9860/14090]	Time 0.750 (0.769)	Data 0.001 (0.001)	Loss 2.6842 (2.7589)	Prec@1 35.156 (34.232)	Prec@5 65.625 (64.599)
Epoch: [21][9870/14090]	Time 0.733 (0.769)	Data 0.001 (0.001)	Loss 2.8141 (2.7590)	Prec@1 35.156 (34.229)	Prec@5 60.156 (64.596)
Epoch: [21][9880/14090]	Time 0.743 (0.769)	Data 0.001 (0.001)	Loss 2.4826 (2.7590)	Prec@1 41.406 (34.231)	Prec@5 73.438 (64.597)
Epoch: [21][9890/14090]	Time 0.738 (0.769)	Data 0.001 (0.001)	Loss 2.7801 (2.7590)	Prec@1 35.156 (34.228)	Prec@5 63.281 (64.596)
Epoch: [21][9900/14090]	Time 0.753 (0.769)	Data 0.001 (0.001)	Loss 2.6370 (2.7589)	Prec@1 38.281 (34.231)	Prec@5 67.188 (64.596)
Epoch: [21][9910/14090]	Time 0.753 (0.769)	Data 0.001 (0.001)	Loss 2.6271 (2.7589)	Prec@1 34.375 (34.230)	Prec@5 67.188 (64.598)
Epoch: [21][9920/14090]	Time 0.876 (0.769)	Data 0.001 (0.001)	Loss 2.6724 (2.7589)	Prec@1 35.938 (34.229)	Prec@5 67.969 (64.597)
Epoch: [21][9930/14090]	Time 0.749 (0.769)	Data 0.001 (0.001)	Loss 2.8836 (2.7589)	Prec@1 29.688 (34.227)	Prec@5 67.188 (64.598)
Epoch: [21][9940/14090]	Time 0.722 (0.769)	Data 0.001 (0.001)	Loss 2.8567 (2.7590)	Prec@1 35.938 (34.227)	Prec@5 61.719 (64.597)
Epoch: [21][9950/14090]	Time 0.738 (0.769)	Data 0.001 (0.001)	Loss 2.5410 (2.7590)	Prec@1 36.719 (34.225)	Prec@5 73.438 (64.598)
Epoch: [21][9960/14090]	Time 0.740 (0.769)	Data 0.001 (0.001)	Loss 2.9681 (2.7591)	Prec@1 31.250 (34.223)	Prec@5 60.156 (64.596)
Epoch: [21][9970/14090]	Time 0.762 (0.769)	Data 0.001 (0.001)	Loss 2.9124 (2.7591)	Prec@1 33.594 (34.225)	Prec@5 61.719 (64.595)
Epoch: [21][9980/14090]	Time 0.754 (0.769)	Data 0.001 (0.001)	Loss 3.0715 (2.7591)	Prec@1 26.562 (34.225)	Prec@5 57.812 (64.594)
Epoch: [21][9990/14090]	Time 0.882 (0.769)	Data 0.001 (0.001)	Loss 3.0009 (2.7592)	Prec@1 30.469 (34.224)	Prec@5 60.156 (64.593)
Epoch: [21][10000/14090]	Time 0.741 (0.769)	Data 0.001 (0.001)	Loss 2.8181 (2.7592)	Prec@1 33.594 (34.226)	Prec@5 61.719 (64.592)
Epoch: [21][10010/14090]	Time 0.731 (0.769)	Data 0.001 (0.001)	Loss 2.7727 (2.7592)	Prec@1 34.375 (34.226)	Prec@5 68.750 (64.593)
Epoch: [21][10020/14090]	Time 0.754 (0.769)	Data 0.001 (0.001)	Loss 2.7132 (2.7591)	Prec@1 34.375 (34.227)	Prec@5 69.531 (64.594)
Epoch: [21][10030/14090]	Time 0.728 (0.769)	Data 0.001 (0.001)	Loss 2.7039 (2.7592)	Prec@1 31.250 (34.225)	Prec@5 66.406 (64.594)
Epoch: [21][10040/14090]	Time 0.762 (0.769)	Data 0.001 (0.001)	Loss 2.6900 (2.7592)	Prec@1 37.500 (34.227)	Prec@5 64.062 (64.594)
Epoch: [21][10050/14090]	Time 0.748 (0.769)	Data 0.001 (0.001)	Loss 2.4103 (2.7591)	Prec@1 41.406 (34.227)	Prec@5 71.875 (64.595)
Epoch: [21][10060/14090]	Time 0.842 (0.769)	Data 0.001 (0.001)	Loss 2.4125 (2.7590)	Prec@1 37.500 (34.228)	Prec@5 68.750 (64.597)
Epoch: [21][10070/14090]	Time 0.755 (0.769)	Data 0.001 (0.001)	Loss 2.7343 (2.7589)	Prec@1 36.719 (34.229)	Prec@5 67.188 (64.601)
Epoch: [21][10080/14090]	Time 0.754 (0.769)	Data 0.001 (0.001)	Loss 2.7466 (2.7589)	Prec@1 34.375 (34.229)	Prec@5 63.281 (64.602)
Epoch: [21][10090/14090]	Time 0.773 (0.769)	Data 0.001 (0.001)	Loss 2.7036 (2.7589)	Prec@1 32.031 (34.229)	Prec@5 66.406 (64.601)
Epoch: [21][10100/14090]	Time 0.743 (0.769)	Data 0.001 (0.001)	Loss 2.9435 (2.7589)	Prec@1 32.031 (34.229)	Prec@5 63.281 (64.602)
Epoch: [21][10110/14090]	Time 0.769 (0.769)	Data 0.001 (0.001)	Loss 2.5764 (2.7588)	Prec@1 41.406 (34.232)	Prec@5 67.969 (64.604)
Epoch: [21][10120/14090]	Time 0.768 (0.769)	Data 0.001 (0.001)	Loss 2.7346 (2.7588)	Prec@1 35.156 (34.231)	Prec@5 66.406 (64.604)
Epoch: [21][10130/14090]	Time 0.817 (0.769)	Data 0.001 (0.001)	Loss 2.6071 (2.7588)	Prec@1 36.719 (34.230)	Prec@5 64.844 (64.602)
Epoch: [21][10140/14090]	Time 0.721 (0.769)	Data 0.001 (0.001)	Loss 3.0596 (2.7588)	Prec@1 28.906 (34.229)	Prec@5 56.250 (64.602)
Epoch: [21][10150/14090]	Time 0.747 (0.769)	Data 0.001 (0.001)	Loss 2.6751 (2.7589)	Prec@1 32.812 (34.227)	Prec@5 66.406 (64.600)
Epoch: [21][10160/14090]	Time 0.759 (0.769)	Data 0.001 (0.001)	Loss 2.6245 (2.7588)	Prec@1 38.281 (34.229)	Prec@5 70.312 (64.602)
Epoch: [21][10170/14090]	Time 0.730 (0.769)	Data 0.001 (0.001)	Loss 2.5056 (2.7587)	Prec@1 39.844 (34.229)	Prec@5 72.656 (64.603)
Epoch: [21][10180/14090]	Time 0.756 (0.769)	Data 0.001 (0.001)	Loss 2.6281 (2.7587)	Prec@1 39.844 (34.230)	Prec@5 64.062 (64.603)
Epoch: [21][10190/14090]	Time 0.735 (0.769)	Data 0.001 (0.001)	Loss 2.6466 (2.7588)	Prec@1 32.812 (34.230)	Prec@5 71.094 (64.602)
Epoch: [21][10200/14090]	Time 0.847 (0.769)	Data 0.001 (0.001)	Loss 2.6187 (2.7588)	Prec@1 35.938 (34.229)	Prec@5 67.969 (64.601)
Epoch: [21][10210/14090]	Time 0.724 (0.769)	Data 0.001 (0.001)	Loss 2.7391 (2.7589)	Prec@1 39.062 (34.229)	Prec@5 69.531 (64.600)
Epoch: [21][10220/14090]	Time 0.752 (0.769)	Data 0.001 (0.001)	Loss 2.4963 (2.7588)	Prec@1 39.062 (34.230)	Prec@5 67.969 (64.601)
Epoch: [21][10230/14090]	Time 0.747 (0.769)	Data 0.001 (0.001)	Loss 2.7225 (2.7589)	Prec@1 28.906 (34.227)	Prec@5 66.406 (64.600)
Epoch: [21][10240/14090]	Time 0.735 (0.769)	Data 0.001 (0.001)	Loss 2.9470 (2.7589)	Prec@1 25.781 (34.227)	Prec@5 57.031 (64.599)
Epoch: [21][10250/14090]	Time 0.743 (0.769)	Data 0.001 (0.001)	Loss 2.9102 (2.7589)	Prec@1 32.031 (34.226)	Prec@5 63.281 (64.597)
Epoch: [21][10260/14090]	Time 0.732 (0.769)	Data 0.001 (0.001)	Loss 2.5901 (2.7590)	Prec@1 46.094 (34.225)	Prec@5 67.969 (64.595)
Epoch: [21][10270/14090]	Time 0.876 (0.769)	Data 0.001 (0.001)	Loss 2.9855 (2.7590)	Prec@1 33.594 (34.224)	Prec@5 59.375 (64.595)
Epoch: [21][10280/14090]	Time 0.753 (0.769)	Data 0.001 (0.001)	Loss 2.6000 (2.7590)	Prec@1 38.281 (34.225)	Prec@5 65.625 (64.594)
Epoch: [21][10290/14090]	Time 0.727 (0.769)	Data 0.001 (0.001)	Loss 2.7735 (2.7591)	Prec@1 30.469 (34.222)	Prec@5 58.594 (64.593)
Epoch: [21][10300/14090]	Time 0.731 (0.769)	Data 0.001 (0.001)	Loss 2.6413 (2.7591)	Prec@1 38.281 (34.224)	Prec@5 68.750 (64.595)
Epoch: [21][10310/14090]	Time 0.746 (0.769)	Data 0.001 (0.001)	Loss 2.9057 (2.7591)	Prec@1 35.156 (34.225)	Prec@5 63.281 (64.595)
Epoch: [21][10320/14090]	Time 0.749 (0.769)	Data 0.001 (0.001)	Loss 2.3815 (2.7590)	Prec@1 42.188 (34.226)	Prec@5 75.000 (64.596)
Epoch: [21][10330/14090]	Time 0.749 (0.769)	Data 0.001 (0.001)	Loss 2.6980 (2.7589)	Prec@1 33.594 (34.226)	Prec@5 67.969 (64.599)
Epoch: [21][10340/14090]	Time 0.816 (0.769)	Data 0.001 (0.001)	Loss 2.6332 (2.7589)	Prec@1 39.062 (34.226)	Prec@5 67.188 (64.601)
Epoch: [21][10350/14090]	Time 0.751 (0.769)	Data 0.001 (0.001)	Loss 2.7463 (2.7588)	Prec@1 32.812 (34.228)	Prec@5 61.719 (64.602)
Epoch: [21][10360/14090]	Time 0.729 (0.769)	Data 0.001 (0.001)	Loss 2.7735 (2.7588)	Prec@1 35.938 (34.227)	Prec@5 60.938 (64.601)
Epoch: [21][10370/14090]	Time 0.737 (0.769)	Data 0.001 (0.001)	Loss 2.9306 (2.7588)	Prec@1 27.344 (34.229)	Prec@5 60.938 (64.602)
Epoch: [21][10380/14090]	Time 0.731 (0.769)	Data 0.001 (0.001)	Loss 2.6881 (2.7587)	Prec@1 33.594 (34.231)	Prec@5 69.531 (64.605)
Epoch: [21][10390/14090]	Time 0.736 (0.769)	Data 0.001 (0.001)	Loss 2.7592 (2.7588)	Prec@1 33.594 (34.230)	Prec@5 66.406 (64.604)
Epoch: [21][10400/14090]	Time 0.735 (0.769)	Data 0.001 (0.001)	Loss 2.6174 (2.7587)	Prec@1 35.938 (34.229)	Prec@5 66.406 (64.603)
Epoch: [21][10410/14090]	Time 0.869 (0.769)	Data 0.001 (0.001)	Loss 2.6801 (2.7587)	Prec@1 33.594 (34.231)	Prec@5 66.406 (64.604)
Epoch: [21][10420/14090]	Time 0.782 (0.769)	Data 0.001 (0.001)	Loss 2.6824 (2.7587)	Prec@1 38.281 (34.230)	Prec@5 64.062 (64.602)
Epoch: [21][10430/14090]	Time 0.753 (0.769)	Data 0.001 (0.001)	Loss 2.8266 (2.7588)	Prec@1 37.500 (34.229)	Prec@5 60.938 (64.601)
Epoch: [21][10440/14090]	Time 0.726 (0.769)	Data 0.001 (0.001)	Loss 2.8215 (2.7589)	Prec@1 35.156 (34.227)	Prec@5 61.719 (64.597)
Epoch: [21][10450/14090]	Time 0.729 (0.769)	Data 0.001 (0.001)	Loss 2.7178 (2.7589)	Prec@1 31.250 (34.227)	Prec@5 70.312 (64.597)
Epoch: [21][10460/14090]	Time 0.745 (0.769)	Data 0.001 (0.001)	Loss 2.7587 (2.7590)	Prec@1 35.156 (34.229)	Prec@5 67.188 (64.596)
Epoch: [21][10470/14090]	Time 0.744 (0.769)	Data 0.001 (0.001)	Loss 2.5287 (2.7589)	Prec@1 31.250 (34.229)	Prec@5 67.969 (64.597)
Epoch: [21][10480/14090]	Time 0.857 (0.769)	Data 0.001 (0.001)	Loss 2.8173 (2.7590)	Prec@1 32.812 (34.228)	Prec@5 62.500 (64.596)
Epoch: [21][10490/14090]	Time 0.775 (0.769)	Data 0.001 (0.001)	Loss 2.4950 (2.7589)	Prec@1 39.062 (34.230)	Prec@5 70.312 (64.597)
Epoch: [21][10500/14090]	Time 0.743 (0.769)	Data 0.001 (0.001)	Loss 2.6795 (2.7589)	Prec@1 35.938 (34.231)	Prec@5 68.750 (64.598)
Epoch: [21][10510/14090]	Time 0.757 (0.769)	Data 0.001 (0.001)	Loss 2.6041 (2.7588)	Prec@1 38.281 (34.234)	Prec@5 67.188 (64.600)
Epoch: [21][10520/14090]	Time 0.750 (0.769)	Data 0.001 (0.001)	Loss 2.6311 (2.7589)	Prec@1 36.719 (34.233)	Prec@5 64.844 (64.597)
Epoch: [21][10530/14090]	Time 0.752 (0.769)	Data 0.001 (0.001)	Loss 2.8837 (2.7589)	Prec@1 29.688 (34.234)	Prec@5 64.062 (64.598)
Epoch: [21][10540/14090]	Time 0.741 (0.769)	Data 0.001 (0.001)	Loss 2.5611 (2.7588)	Prec@1 39.844 (34.235)	Prec@5 65.625 (64.599)
Epoch: [21][10550/14090]	Time 0.853 (0.769)	Data 0.001 (0.001)	Loss 2.4593 (2.7587)	Prec@1 44.531 (34.235)	Prec@5 69.531 (64.600)
Epoch: [21][10560/14090]	Time 0.749 (0.769)	Data 0.001 (0.001)	Loss 2.5513 (2.7588)	Prec@1 36.719 (34.234)	Prec@5 66.406 (64.598)
Epoch: [21][10570/14090]	Time 0.742 (0.769)	Data 0.001 (0.001)	Loss 2.6133 (2.7588)	Prec@1 33.594 (34.234)	Prec@5 67.969 (64.596)
Epoch: [21][10580/14090]	Time 0.778 (0.769)	Data 0.001 (0.001)	Loss 2.8347 (2.7588)	Prec@1 29.688 (34.233)	Prec@5 62.500 (64.595)
Epoch: [21][10590/14090]	Time 0.749 (0.769)	Data 0.001 (0.001)	Loss 2.9516 (2.7588)	Prec@1 29.688 (34.232)	Prec@5 57.031 (64.594)
Epoch: [21][10600/14090]	Time 0.728 (0.769)	Data 0.001 (0.001)	Loss 2.6514 (2.7588)	Prec@1 34.375 (34.233)	Prec@5 67.188 (64.594)
Epoch: [21][10610/14090]	Time 0.740 (0.769)	Data 0.001 (0.001)	Loss 2.7158 (2.7587)	Prec@1 32.031 (34.233)	Prec@5 65.625 (64.595)
Epoch: [21][10620/14090]	Time 0.856 (0.769)	Data 0.001 (0.001)	Loss 2.6192 (2.7588)	Prec@1 39.062 (34.232)	Prec@5 70.312 (64.595)
Epoch: [21][10630/14090]	Time 0.746 (0.769)	Data 0.001 (0.001)	Loss 2.4750 (2.7587)	Prec@1 39.062 (34.232)	Prec@5 71.875 (64.597)
Epoch: [21][10640/14090]	Time 0.743 (0.769)	Data 0.001 (0.001)	Loss 2.9106 (2.7587)	Prec@1 34.375 (34.231)	Prec@5 61.719 (64.596)
Epoch: [21][10650/14090]	Time 0.748 (0.769)	Data 0.001 (0.001)	Loss 2.9762 (2.7587)	Prec@1 28.906 (34.232)	Prec@5 61.719 (64.595)
Epoch: [21][10660/14090]	Time 0.733 (0.769)	Data 0.001 (0.001)	Loss 3.0296 (2.7588)	Prec@1 29.688 (34.231)	Prec@5 53.125 (64.594)
Epoch: [21][10670/14090]	Time 0.734 (0.769)	Data 0.001 (0.001)	Loss 2.7029 (2.7589)	Prec@1 30.469 (34.229)	Prec@5 62.500 (64.593)
Epoch: [21][10680/14090]	Time 0.763 (0.769)	Data 0.001 (0.001)	Loss 3.0070 (2.7588)	Prec@1 35.938 (34.230)	Prec@5 60.938 (64.593)
Epoch: [21][10690/14090]	Time 0.832 (0.768)	Data 0.001 (0.001)	Loss 2.8337 (2.7588)	Prec@1 37.500 (34.233)	Prec@5 60.156 (64.594)
Epoch: [21][10700/14090]	Time 0.757 (0.768)	Data 0.001 (0.001)	Loss 3.0273 (2.7588)	Prec@1 29.688 (34.233)	Prec@5 59.375 (64.595)
Epoch: [21][10710/14090]	Time 0.756 (0.768)	Data 0.001 (0.001)	Loss 2.5042 (2.7588)	Prec@1 35.156 (34.232)	Prec@5 67.188 (64.595)
Epoch: [21][10720/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 2.7566 (2.7589)	Prec@1 38.281 (34.233)	Prec@5 65.625 (64.594)
Epoch: [21][10730/14090]	Time 0.734 (0.768)	Data 0.001 (0.001)	Loss 2.8212 (2.7589)	Prec@1 28.906 (34.231)	Prec@5 60.938 (64.593)
Epoch: [21][10740/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 3.0941 (2.7589)	Prec@1 29.688 (34.231)	Prec@5 58.594 (64.593)
Epoch: [21][10750/14090]	Time 0.749 (0.768)	Data 0.001 (0.001)	Loss 2.6888 (2.7589)	Prec@1 32.812 (34.230)	Prec@5 67.188 (64.595)
Epoch: [21][10760/14090]	Time 0.814 (0.768)	Data 0.001 (0.001)	Loss 2.8069 (2.7588)	Prec@1 32.812 (34.230)	Prec@5 65.625 (64.596)
Epoch: [21][10770/14090]	Time 0.722 (0.768)	Data 0.001 (0.001)	Loss 2.7736 (2.7589)	Prec@1 35.156 (34.231)	Prec@5 64.062 (64.596)
Epoch: [21][10780/14090]	Time 0.732 (0.768)	Data 0.001 (0.001)	Loss 2.5866 (2.7588)	Prec@1 35.156 (34.232)	Prec@5 65.625 (64.598)
Epoch: [21][10790/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 2.6904 (2.7587)	Prec@1 37.500 (34.233)	Prec@5 66.406 (64.599)
Epoch: [21][10800/14090]	Time 0.740 (0.768)	Data 0.001 (0.001)	Loss 2.8368 (2.7588)	Prec@1 31.250 (34.231)	Prec@5 67.188 (64.600)
Epoch: [21][10810/14090]	Time 0.755 (0.768)	Data 0.001 (0.001)	Loss 2.8682 (2.7587)	Prec@1 31.250 (34.231)	Prec@5 59.375 (64.602)
Epoch: [21][10820/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 2.7455 (2.7587)	Prec@1 33.594 (34.232)	Prec@5 61.719 (64.602)
Epoch: [21][10830/14090]	Time 0.859 (0.768)	Data 0.001 (0.001)	Loss 2.8691 (2.7587)	Prec@1 30.469 (34.233)	Prec@5 67.969 (64.602)
Epoch: [21][10840/14090]	Time 0.778 (0.768)	Data 0.001 (0.001)	Loss 2.6674 (2.7587)	Prec@1 39.062 (34.234)	Prec@5 64.844 (64.604)
Epoch: [21][10850/14090]	Time 0.718 (0.768)	Data 0.001 (0.001)	Loss 2.8638 (2.7587)	Prec@1 34.375 (34.235)	Prec@5 64.844 (64.604)
Epoch: [21][10860/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 2.4308 (2.7586)	Prec@1 39.844 (34.235)	Prec@5 72.656 (64.604)
Epoch: [21][10870/14090]	Time 0.724 (0.768)	Data 0.001 (0.001)	Loss 2.6561 (2.7586)	Prec@1 40.625 (34.236)	Prec@5 62.500 (64.603)
Epoch: [21][10880/14090]	Time 0.771 (0.768)	Data 0.001 (0.001)	Loss 2.7832 (2.7586)	Prec@1 32.812 (34.236)	Prec@5 69.531 (64.606)
Epoch: [21][10890/14090]	Time 0.776 (0.768)	Data 0.001 (0.001)	Loss 2.7855 (2.7585)	Prec@1 34.375 (34.236)	Prec@5 62.500 (64.607)
Epoch: [21][10900/14090]	Time 0.868 (0.768)	Data 0.001 (0.001)	Loss 2.8322 (2.7585)	Prec@1 25.781 (34.236)	Prec@5 64.062 (64.607)
Epoch: [21][10910/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 2.7974 (2.7586)	Prec@1 31.250 (34.234)	Prec@5 66.406 (64.606)
Epoch: [21][10920/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 2.5419 (2.7585)	Prec@1 39.062 (34.234)	Prec@5 70.312 (64.607)
Epoch: [21][10930/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 2.5141 (2.7586)	Prec@1 37.500 (34.233)	Prec@5 71.094 (64.606)
Epoch: [21][10940/14090]	Time 0.752 (0.768)	Data 0.001 (0.001)	Loss 2.6813 (2.7586)	Prec@1 33.594 (34.233)	Prec@5 61.719 (64.606)
Epoch: [21][10950/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 2.7883 (2.7586)	Prec@1 32.031 (34.233)	Prec@5 64.062 (64.605)
Epoch: [21][10960/14090]	Time 0.770 (0.768)	Data 0.001 (0.001)	Loss 2.8809 (2.7586)	Prec@1 33.594 (34.232)	Prec@5 65.625 (64.604)
Epoch: [21][10970/14090]	Time 0.861 (0.768)	Data 0.001 (0.001)	Loss 2.8298 (2.7586)	Prec@1 32.812 (34.233)	Prec@5 64.844 (64.605)
Epoch: [21][10980/14090]	Time 0.752 (0.768)	Data 0.001 (0.001)	Loss 2.5497 (2.7586)	Prec@1 37.500 (34.232)	Prec@5 71.875 (64.605)
Epoch: [21][10990/14090]	Time 0.777 (0.768)	Data 0.001 (0.001)	Loss 2.8327 (2.7586)	Prec@1 28.906 (34.233)	Prec@5 62.500 (64.604)
Epoch: [21][11000/14090]	Time 0.752 (0.768)	Data 0.001 (0.001)	Loss 3.0029 (2.7586)	Prec@1 31.250 (34.233)	Prec@5 60.938 (64.604)
Epoch: [21][11010/14090]	Time 0.742 (0.768)	Data 0.001 (0.001)	Loss 2.6761 (2.7586)	Prec@1 38.281 (34.236)	Prec@5 69.531 (64.605)
Epoch: [21][11020/14090]	Time 0.754 (0.768)	Data 0.001 (0.001)	Loss 2.6906 (2.7585)	Prec@1 35.156 (34.236)	Prec@5 68.750 (64.607)
Epoch: [21][11030/14090]	Time 0.741 (0.768)	Data 0.001 (0.001)	Loss 2.7596 (2.7585)	Prec@1 36.719 (34.237)	Prec@5 63.281 (64.606)
Epoch: [21][11040/14090]	Time 0.880 (0.768)	Data 0.001 (0.001)	Loss 2.7109 (2.7585)	Prec@1 39.844 (34.236)	Prec@5 67.969 (64.606)
Epoch: [21][11050/14090]	Time 0.740 (0.768)	Data 0.001 (0.001)	Loss 2.5176 (2.7585)	Prec@1 40.625 (34.236)	Prec@5 69.531 (64.606)
Epoch: [21][11060/14090]	Time 0.744 (0.768)	Data 0.001 (0.001)	Loss 2.6732 (2.7585)	Prec@1 29.688 (34.235)	Prec@5 69.531 (64.607)
Epoch: [21][11070/14090]	Time 0.749 (0.768)	Data 0.001 (0.001)	Loss 2.6550 (2.7583)	Prec@1 35.938 (34.240)	Prec@5 65.625 (64.609)
Epoch: [21][11080/14090]	Time 0.722 (0.768)	Data 0.001 (0.001)	Loss 2.7850 (2.7584)	Prec@1 33.594 (34.239)	Prec@5 64.062 (64.609)
Epoch: [21][11090/14090]	Time 0.755 (0.768)	Data 0.001 (0.001)	Loss 2.7335 (2.7584)	Prec@1 32.031 (34.239)	Prec@5 65.625 (64.609)
Epoch: [21][11100/14090]	Time 0.779 (0.768)	Data 0.001 (0.001)	Loss 2.8157 (2.7584)	Prec@1 36.719 (34.240)	Prec@5 64.844 (64.609)
Epoch: [21][11110/14090]	Time 0.880 (0.768)	Data 0.001 (0.001)	Loss 2.9883 (2.7584)	Prec@1 32.812 (34.239)	Prec@5 57.812 (64.610)
Epoch: [21][11120/14090]	Time 0.722 (0.768)	Data 0.001 (0.001)	Loss 2.6256 (2.7584)	Prec@1 35.938 (34.241)	Prec@5 64.062 (64.610)
Epoch: [21][11130/14090]	Time 0.730 (0.768)	Data 0.001 (0.001)	Loss 2.5016 (2.7583)	Prec@1 32.812 (34.240)	Prec@5 66.406 (64.611)
Epoch: [21][11140/14090]	Time 0.735 (0.768)	Data 0.001 (0.001)	Loss 2.8170 (2.7583)	Prec@1 32.812 (34.240)	Prec@5 64.844 (64.611)
Epoch: [21][11150/14090]	Time 0.743 (0.768)	Data 0.001 (0.001)	Loss 2.8133 (2.7584)	Prec@1 33.594 (34.241)	Prec@5 61.719 (64.609)
Epoch: [21][11160/14090]	Time 0.741 (0.768)	Data 0.001 (0.001)	Loss 2.9526 (2.7584)	Prec@1 30.469 (34.240)	Prec@5 59.375 (64.607)
Epoch: [21][11170/14090]	Time 0.750 (0.768)	Data 0.001 (0.001)	Loss 2.8939 (2.7584)	Prec@1 34.375 (34.242)	Prec@5 66.406 (64.608)
Epoch: [21][11180/14090]	Time 0.841 (0.768)	Data 0.001 (0.001)	Loss 2.7692 (2.7584)	Prec@1 36.719 (34.243)	Prec@5 57.812 (64.606)
Epoch: [21][11190/14090]	Time 0.752 (0.768)	Data 0.001 (0.001)	Loss 2.6115 (2.7584)	Prec@1 32.031 (34.242)	Prec@5 71.094 (64.608)
Epoch: [21][11200/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 2.8684 (2.7584)	Prec@1 28.125 (34.241)	Prec@5 63.281 (64.609)
Epoch: [21][11210/14090]	Time 0.722 (0.768)	Data 0.001 (0.001)	Loss 2.9133 (2.7584)	Prec@1 29.688 (34.239)	Prec@5 61.719 (64.608)
Epoch: [21][11220/14090]	Time 0.734 (0.768)	Data 0.001 (0.001)	Loss 2.8041 (2.7584)	Prec@1 36.719 (34.238)	Prec@5 59.375 (64.607)
Epoch: [21][11230/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 2.6853 (2.7584)	Prec@1 39.062 (34.238)	Prec@5 62.500 (64.610)
Epoch: [21][11240/14090]	Time 0.737 (0.768)	Data 0.001 (0.001)	Loss 2.6683 (2.7583)	Prec@1 30.469 (34.238)	Prec@5 62.500 (64.612)
Epoch: [21][11250/14090]	Time 0.821 (0.768)	Data 0.001 (0.001)	Loss 2.6913 (2.7583)	Prec@1 41.406 (34.238)	Prec@5 67.188 (64.612)
Epoch: [21][11260/14090]	Time 0.751 (0.768)	Data 0.001 (0.001)	Loss 2.8707 (2.7583)	Prec@1 42.969 (34.239)	Prec@5 55.469 (64.610)
Epoch: [21][11270/14090]	Time 0.719 (0.768)	Data 0.001 (0.001)	Loss 2.6691 (2.7583)	Prec@1 30.469 (34.239)	Prec@5 66.406 (64.610)
Epoch: [21][11280/14090]	Time 0.735 (0.768)	Data 0.001 (0.001)	Loss 2.6628 (2.7583)	Prec@1 32.031 (34.240)	Prec@5 65.625 (64.611)
Epoch: [21][11290/14090]	Time 0.748 (0.768)	Data 0.001 (0.001)	Loss 2.8849 (2.7582)	Prec@1 27.344 (34.240)	Prec@5 60.156 (64.613)
Epoch: [21][11300/14090]	Time 0.752 (0.768)	Data 0.001 (0.001)	Loss 3.1475 (2.7582)	Prec@1 30.469 (34.241)	Prec@5 56.250 (64.613)
Epoch: [21][11310/14090]	Time 0.751 (0.768)	Data 0.001 (0.001)	Loss 2.9044 (2.7583)	Prec@1 32.812 (34.239)	Prec@5 64.062 (64.612)
Epoch: [21][11320/14090]	Time 0.856 (0.768)	Data 0.001 (0.001)	Loss 2.6571 (2.7583)	Prec@1 32.812 (34.238)	Prec@5 65.625 (64.611)
Epoch: [21][11330/14090]	Time 0.732 (0.768)	Data 0.001 (0.001)	Loss 2.6872 (2.7584)	Prec@1 30.469 (34.237)	Prec@5 63.281 (64.610)
Epoch: [21][11340/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 2.5244 (2.7583)	Prec@1 37.500 (34.239)	Prec@5 68.750 (64.610)
Epoch: [21][11350/14090]	Time 0.756 (0.768)	Data 0.001 (0.001)	Loss 2.7482 (2.7583)	Prec@1 34.375 (34.240)	Prec@5 63.281 (64.609)
Epoch: [21][11360/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 2.6835 (2.7583)	Prec@1 28.125 (34.241)	Prec@5 70.312 (64.611)
Epoch: [21][11370/14090]	Time 0.755 (0.768)	Data 0.001 (0.001)	Loss 2.7417 (2.7582)	Prec@1 36.719 (34.244)	Prec@5 64.844 (64.613)
Epoch: [21][11380/14090]	Time 0.771 (0.768)	Data 0.001 (0.001)	Loss 2.3834 (2.7582)	Prec@1 35.938 (34.244)	Prec@5 71.094 (64.613)
Epoch: [21][11390/14090]	Time 0.810 (0.768)	Data 0.001 (0.001)	Loss 2.7635 (2.7582)	Prec@1 37.500 (34.242)	Prec@5 63.281 (64.613)
Epoch: [21][11400/14090]	Time 0.748 (0.768)	Data 0.001 (0.001)	Loss 2.6722 (2.7581)	Prec@1 37.500 (34.243)	Prec@5 61.719 (64.614)
Epoch: [21][11410/14090]	Time 0.730 (0.768)	Data 0.001 (0.001)	Loss 2.9476 (2.7582)	Prec@1 26.562 (34.242)	Prec@5 60.938 (64.613)
Epoch: [21][11420/14090]	Time 0.730 (0.768)	Data 0.001 (0.001)	Loss 2.8171 (2.7584)	Prec@1 31.250 (34.239)	Prec@5 61.719 (64.610)
Epoch: [21][11430/14090]	Time 0.763 (0.768)	Data 0.001 (0.001)	Loss 2.9752 (2.7583)	Prec@1 32.031 (34.242)	Prec@5 60.156 (64.612)
Epoch: [21][11440/14090]	Time 0.721 (0.768)	Data 0.001 (0.001)	Loss 2.6058 (2.7583)	Prec@1 36.719 (34.244)	Prec@5 67.969 (64.613)
Epoch: [21][11450/14090]	Time 0.777 (0.768)	Data 0.001 (0.001)	Loss 2.6629 (2.7582)	Prec@1 33.594 (34.244)	Prec@5 67.969 (64.613)
Epoch: [21][11460/14090]	Time 0.881 (0.768)	Data 0.001 (0.001)	Loss 3.0381 (2.7583)	Prec@1 30.469 (34.243)	Prec@5 58.594 (64.612)
Epoch: [21][11470/14090]	Time 0.769 (0.768)	Data 0.001 (0.001)	Loss 2.7690 (2.7584)	Prec@1 30.469 (34.242)	Prec@5 60.938 (64.612)
Epoch: [21][11480/14090]	Time 0.742 (0.768)	Data 0.001 (0.001)	Loss 2.7634 (2.7584)	Prec@1 34.375 (34.239)	Prec@5 65.625 (64.610)
Epoch: [21][11490/14090]	Time 0.782 (0.768)	Data 0.001 (0.001)	Loss 2.8101 (2.7584)	Prec@1 35.156 (34.239)	Prec@5 62.500 (64.611)
Epoch: [21][11500/14090]	Time 0.733 (0.768)	Data 0.001 (0.001)	Loss 2.7312 (2.7584)	Prec@1 30.469 (34.238)	Prec@5 65.625 (64.611)
Epoch: [21][11510/14090]	Time 0.771 (0.768)	Data 0.001 (0.001)	Loss 2.7776 (2.7584)	Prec@1 32.812 (34.240)	Prec@5 67.188 (64.612)
Epoch: [21][11520/14090]	Time 0.751 (0.768)	Data 0.001 (0.001)	Loss 2.8690 (2.7583)	Prec@1 34.375 (34.239)	Prec@5 58.594 (64.612)
Epoch: [21][11530/14090]	Time 0.865 (0.768)	Data 0.001 (0.001)	Loss 2.8715 (2.7584)	Prec@1 33.594 (34.237)	Prec@5 60.156 (64.611)
Epoch: [21][11540/14090]	Time 0.754 (0.768)	Data 0.001 (0.001)	Loss 2.7266 (2.7584)	Prec@1 32.031 (34.237)	Prec@5 64.062 (64.610)
Epoch: [21][11550/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 2.9985 (2.7583)	Prec@1 32.031 (34.239)	Prec@5 64.844 (64.610)
Epoch: [21][11560/14090]	Time 0.737 (0.768)	Data 0.001 (0.001)	Loss 2.7021 (2.7583)	Prec@1 37.500 (34.241)	Prec@5 69.531 (64.611)
Epoch: [21][11570/14090]	Time 0.751 (0.768)	Data 0.001 (0.001)	Loss 2.8695 (2.7583)	Prec@1 32.812 (34.242)	Prec@5 62.500 (64.610)
Epoch: [21][11580/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 2.8075 (2.7583)	Prec@1 35.156 (34.243)	Prec@5 62.500 (64.611)
Epoch: [21][11590/14090]	Time 0.717 (0.768)	Data 0.001 (0.001)	Loss 2.8144 (2.7583)	Prec@1 28.906 (34.241)	Prec@5 63.281 (64.611)
Epoch: [21][11600/14090]	Time 0.861 (0.768)	Data 0.001 (0.001)	Loss 2.5546 (2.7582)	Prec@1 38.281 (34.242)	Prec@5 68.750 (64.612)
Epoch: [21][11610/14090]	Time 0.751 (0.768)	Data 0.001 (0.001)	Loss 2.5514 (2.7582)	Prec@1 40.625 (34.242)	Prec@5 64.062 (64.612)
Epoch: [21][11620/14090]	Time 0.725 (0.768)	Data 0.001 (0.001)	Loss 2.8372 (2.7582)	Prec@1 33.594 (34.244)	Prec@5 63.281 (64.613)
Epoch: [21][11630/14090]	Time 0.759 (0.768)	Data 0.001 (0.001)	Loss 2.7282 (2.7582)	Prec@1 33.594 (34.242)	Prec@5 59.375 (64.612)
Epoch: [21][11640/14090]	Time 0.749 (0.768)	Data 0.001 (0.001)	Loss 2.6266 (2.7582)	Prec@1 37.500 (34.243)	Prec@5 65.625 (64.612)
Epoch: [21][11650/14090]	Time 0.749 (0.768)	Data 0.001 (0.001)	Loss 2.6289 (2.7582)	Prec@1 37.500 (34.241)	Prec@5 69.531 (64.612)
Epoch: [21][11660/14090]	Time 0.780 (0.768)	Data 0.001 (0.001)	Loss 2.8146 (2.7582)	Prec@1 28.125 (34.241)	Prec@5 62.500 (64.612)
Epoch: [21][11670/14090]	Time 0.841 (0.768)	Data 0.001 (0.001)	Loss 2.9745 (2.7582)	Prec@1 32.031 (34.241)	Prec@5 60.938 (64.612)
Epoch: [21][11680/14090]	Time 0.730 (0.768)	Data 0.001 (0.001)	Loss 2.6232 (2.7581)	Prec@1 32.812 (34.241)	Prec@5 64.062 (64.612)
Epoch: [21][11690/14090]	Time 0.727 (0.768)	Data 0.001 (0.001)	Loss 2.8195 (2.7582)	Prec@1 35.156 (34.239)	Prec@5 64.062 (64.610)
Epoch: [21][11700/14090]	Time 0.756 (0.768)	Data 0.001 (0.001)	Loss 3.0778 (2.7583)	Prec@1 24.219 (34.237)	Prec@5 61.719 (64.609)
Epoch: [21][11710/14090]	Time 0.744 (0.768)	Data 0.001 (0.001)	Loss 2.6494 (2.7583)	Prec@1 31.250 (34.237)	Prec@5 66.406 (64.611)
Epoch: [21][11720/14090]	Time 0.751 (0.768)	Data 0.001 (0.001)	Loss 2.6005 (2.7583)	Prec@1 36.719 (34.238)	Prec@5 66.406 (64.610)
Epoch: [21][11730/14090]	Time 0.730 (0.768)	Data 0.001 (0.001)	Loss 3.0377 (2.7584)	Prec@1 28.906 (34.235)	Prec@5 59.375 (64.608)
Epoch: [21][11740/14090]	Time 0.863 (0.768)	Data 0.001 (0.001)	Loss 2.4423 (2.7584)	Prec@1 39.844 (34.238)	Prec@5 69.531 (64.608)
Epoch: [21][11750/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 2.9650 (2.7584)	Prec@1 31.250 (34.237)	Prec@5 59.375 (64.609)
Epoch: [21][11760/14090]	Time 0.741 (0.768)	Data 0.001 (0.001)	Loss 2.7025 (2.7582)	Prec@1 41.406 (34.240)	Prec@5 62.500 (64.612)
Epoch: [21][11770/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 2.9328 (2.7583)	Prec@1 31.250 (34.240)	Prec@5 59.375 (64.610)
Epoch: [21][11780/14090]	Time 0.740 (0.768)	Data 0.001 (0.001)	Loss 2.4591 (2.7583)	Prec@1 45.312 (34.242)	Prec@5 76.562 (64.611)
Epoch: [21][11790/14090]	Time 0.741 (0.768)	Data 0.001 (0.001)	Loss 2.6169 (2.7583)	Prec@1 35.938 (34.242)	Prec@5 64.062 (64.611)
Epoch: [21][11800/14090]	Time 0.760 (0.768)	Data 0.001 (0.001)	Loss 2.7960 (2.7582)	Prec@1 32.812 (34.244)	Prec@5 67.969 (64.613)
Epoch: [21][11810/14090]	Time 0.871 (0.768)	Data 0.001 (0.001)	Loss 3.0095 (2.7582)	Prec@1 28.125 (34.245)	Prec@5 56.250 (64.612)
Epoch: [21][11820/14090]	Time 0.754 (0.768)	Data 0.001 (0.001)	Loss 2.6792 (2.7582)	Prec@1 33.594 (34.244)	Prec@5 64.844 (64.611)
Epoch: [21][11830/14090]	Time 0.750 (0.768)	Data 0.001 (0.001)	Loss 3.0048 (2.7582)	Prec@1 31.250 (34.244)	Prec@5 60.156 (64.612)
Epoch: [21][11840/14090]	Time 0.740 (0.768)	Data 0.001 (0.001)	Loss 2.9736 (2.7582)	Prec@1 36.719 (34.245)	Prec@5 63.281 (64.613)
Epoch: [21][11850/14090]	Time 0.747 (0.768)	Data 0.001 (0.001)	Loss 3.0020 (2.7583)	Prec@1 27.344 (34.245)	Prec@5 63.281 (64.613)
Epoch: [21][11860/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 3.1860 (2.7582)	Prec@1 31.250 (34.245)	Prec@5 58.594 (64.614)
Epoch: [21][11870/14090]	Time 0.727 (0.768)	Data 0.001 (0.001)	Loss 2.9803 (2.7583)	Prec@1 32.812 (34.243)	Prec@5 56.250 (64.612)
Epoch: [21][11880/14090]	Time 0.862 (0.768)	Data 0.001 (0.001)	Loss 2.7725 (2.7582)	Prec@1 35.156 (34.245)	Prec@5 62.500 (64.613)
Epoch: [21][11890/14090]	Time 0.744 (0.768)	Data 0.001 (0.001)	Loss 2.8382 (2.7584)	Prec@1 38.281 (34.243)	Prec@5 61.719 (64.611)
Epoch: [21][11900/14090]	Time 0.728 (0.768)	Data 0.001 (0.001)	Loss 2.8330 (2.7584)	Prec@1 30.469 (34.242)	Prec@5 60.156 (64.611)
Epoch: [21][11910/14090]	Time 0.765 (0.768)	Data 0.001 (0.001)	Loss 2.6089 (2.7584)	Prec@1 34.375 (34.241)	Prec@5 71.094 (64.611)
Epoch: [21][11920/14090]	Time 0.747 (0.768)	Data 0.001 (0.001)	Loss 2.5160 (2.7583)	Prec@1 40.625 (34.243)	Prec@5 71.875 (64.613)
Epoch: [21][11930/14090]	Time 0.771 (0.768)	Data 0.001 (0.001)	Loss 2.7941 (2.7583)	Prec@1 32.812 (34.244)	Prec@5 62.500 (64.615)
Epoch: [21][11940/14090]	Time 0.742 (0.768)	Data 0.001 (0.001)	Loss 2.8014 (2.7583)	Prec@1 32.031 (34.244)	Prec@5 64.844 (64.615)
Epoch: [21][11950/14090]	Time 0.837 (0.768)	Data 0.001 (0.001)	Loss 2.8425 (2.7582)	Prec@1 35.938 (34.245)	Prec@5 66.406 (64.619)
Epoch: [21][11960/14090]	Time 0.756 (0.768)	Data 0.001 (0.001)	Loss 2.5720 (2.7581)	Prec@1 36.719 (34.244)	Prec@5 67.969 (64.619)
Epoch: [21][11970/14090]	Time 0.744 (0.768)	Data 0.001 (0.001)	Loss 2.7935 (2.7582)	Prec@1 32.031 (34.243)	Prec@5 67.188 (64.618)
Epoch: [21][11980/14090]	Time 0.744 (0.768)	Data 0.001 (0.001)	Loss 2.4738 (2.7581)	Prec@1 39.844 (34.244)	Prec@5 72.656 (64.620)
Epoch: [21][11990/14090]	Time 0.737 (0.768)	Data 0.001 (0.001)	Loss 3.0365 (2.7582)	Prec@1 27.344 (34.245)	Prec@5 57.031 (64.618)
Epoch: [21][12000/14090]	Time 0.749 (0.768)	Data 0.001 (0.001)	Loss 2.6900 (2.7582)	Prec@1 35.156 (34.244)	Prec@5 65.625 (64.616)
Epoch: [21][12010/14090]	Time 0.758 (0.768)	Data 0.001 (0.001)	Loss 3.0052 (2.7582)	Prec@1 25.781 (34.243)	Prec@5 59.375 (64.615)
Epoch: [21][12020/14090]	Time 0.830 (0.768)	Data 0.001 (0.001)	Loss 3.1973 (2.7582)	Prec@1 22.656 (34.242)	Prec@5 57.812 (64.617)
Epoch: [21][12030/14090]	Time 0.725 (0.768)	Data 0.001 (0.001)	Loss 2.7024 (2.7582)	Prec@1 35.938 (34.243)	Prec@5 64.844 (64.617)
Epoch: [21][12040/14090]	Time 0.722 (0.768)	Data 0.001 (0.001)	Loss 2.7375 (2.7582)	Prec@1 32.031 (34.243)	Prec@5 62.500 (64.616)
Epoch: [21][12050/14090]	Time 0.769 (0.768)	Data 0.001 (0.001)	Loss 2.8435 (2.7582)	Prec@1 34.375 (34.245)	Prec@5 58.594 (64.617)
Epoch: [21][12060/14090]	Time 0.741 (0.768)	Data 0.001 (0.001)	Loss 3.0722 (2.7582)	Prec@1 24.219 (34.245)	Prec@5 57.031 (64.615)
Epoch: [21][12070/14090]	Time 0.769 (0.768)	Data 0.001 (0.001)	Loss 2.8224 (2.7582)	Prec@1 34.375 (34.245)	Prec@5 58.594 (64.617)
Epoch: [21][12080/14090]	Time 0.777 (0.768)	Data 0.001 (0.001)	Loss 2.8591 (2.7582)	Prec@1 33.594 (34.246)	Prec@5 57.812 (64.618)
Epoch: [21][12090/14090]	Time 0.840 (0.768)	Data 0.001 (0.001)	Loss 2.7510 (2.7582)	Prec@1 39.062 (34.246)	Prec@5 64.844 (64.618)
Epoch: [21][12100/14090]	Time 0.756 (0.768)	Data 0.001 (0.001)	Loss 2.8791 (2.7581)	Prec@1 28.906 (34.244)	Prec@5 62.500 (64.620)
Epoch: [21][12110/14090]	Time 0.745 (0.768)	Data 0.001 (0.001)	Loss 2.9674 (2.7581)	Prec@1 35.938 (34.245)	Prec@5 60.156 (64.621)
Epoch: [21][12120/14090]	Time 0.749 (0.768)	Data 0.001 (0.001)	Loss 2.9018 (2.7582)	Prec@1 29.688 (34.245)	Prec@5 61.719 (64.621)
Epoch: [21][12130/14090]	Time 0.771 (0.768)	Data 0.001 (0.001)	Loss 2.6812 (2.7582)	Prec@1 36.719 (34.245)	Prec@5 62.500 (64.620)
Epoch: [21][12140/14090]	Time 0.750 (0.768)	Data 0.001 (0.001)	Loss 2.9300 (2.7583)	Prec@1 31.250 (34.244)	Prec@5 60.156 (64.619)
Epoch: [21][12150/14090]	Time 0.733 (0.768)	Data 0.001 (0.001)	Loss 2.8333 (2.7582)	Prec@1 31.250 (34.246)	Prec@5 64.062 (64.620)
Epoch: [21][12160/14090]	Time 0.868 (0.768)	Data 0.001 (0.001)	Loss 2.8064 (2.7582)	Prec@1 33.594 (34.246)	Prec@5 71.875 (64.620)
Epoch: [21][12170/14090]	Time 0.757 (0.768)	Data 0.001 (0.001)	Loss 2.9058 (2.7582)	Prec@1 31.250 (34.246)	Prec@5 60.156 (64.620)
Epoch: [21][12180/14090]	Time 0.735 (0.768)	Data 0.001 (0.001)	Loss 3.0569 (2.7583)	Prec@1 28.125 (34.245)	Prec@5 61.719 (64.620)
Epoch: [21][12190/14090]	Time 0.751 (0.768)	Data 0.001 (0.001)	Loss 2.9110 (2.7583)	Prec@1 33.594 (34.245)	Prec@5 60.938 (64.620)
Epoch: [21][12200/14090]	Time 0.766 (0.768)	Data 0.001 (0.001)	Loss 2.7599 (2.7583)	Prec@1 38.281 (34.245)	Prec@5 61.719 (64.620)
Epoch: [21][12210/14090]	Time 0.750 (0.768)	Data 0.001 (0.001)	Loss 2.6320 (2.7582)	Prec@1 35.156 (34.248)	Prec@5 66.406 (64.621)
Epoch: [21][12220/14090]	Time 0.759 (0.768)	Data 0.001 (0.001)	Loss 2.7410 (2.7582)	Prec@1 30.469 (34.248)	Prec@5 64.844 (64.622)
Epoch: [21][12230/14090]	Time 0.870 (0.768)	Data 0.001 (0.001)	Loss 2.8788 (2.7581)	Prec@1 33.594 (34.251)	Prec@5 65.625 (64.622)
Epoch: [21][12240/14090]	Time 0.751 (0.768)	Data 0.001 (0.001)	Loss 2.6428 (2.7582)	Prec@1 39.062 (34.249)	Prec@5 69.531 (64.622)
Epoch: [21][12250/14090]	Time 0.742 (0.768)	Data 0.001 (0.001)	Loss 2.5552 (2.7582)	Prec@1 41.406 (34.249)	Prec@5 68.750 (64.623)
Epoch: [21][12260/14090]	Time 0.755 (0.768)	Data 0.001 (0.001)	Loss 2.8784 (2.7582)	Prec@1 34.375 (34.250)	Prec@5 64.844 (64.623)
Epoch: [21][12270/14090]	Time 0.729 (0.768)	Data 0.001 (0.001)	Loss 2.9940 (2.7583)	Prec@1 25.000 (34.247)	Prec@5 63.281 (64.621)
Epoch: [21][12280/14090]	Time 0.754 (0.768)	Data 0.001 (0.001)	Loss 2.7827 (2.7583)	Prec@1 37.500 (34.249)	Prec@5 65.625 (64.621)
Epoch: [21][12290/14090]	Time 0.748 (0.768)	Data 0.001 (0.001)	Loss 2.7924 (2.7583)	Prec@1 32.812 (34.249)	Prec@5 67.188 (64.620)
Epoch: [21][12300/14090]	Time 0.865 (0.768)	Data 0.001 (0.001)	Loss 2.7981 (2.7583)	Prec@1 36.719 (34.250)	Prec@5 58.594 (64.620)
Epoch: [21][12310/14090]	Time 0.752 (0.768)	Data 0.001 (0.001)	Loss 2.6153 (2.7583)	Prec@1 35.156 (34.249)	Prec@5 67.188 (64.622)
Epoch: [21][12320/14090]	Time 0.729 (0.768)	Data 0.001 (0.001)	Loss 2.8229 (2.7583)	Prec@1 34.375 (34.247)	Prec@5 64.062 (64.620)
Epoch: [21][12330/14090]	Time 0.751 (0.768)	Data 0.001 (0.001)	Loss 2.8314 (2.7584)	Prec@1 28.906 (34.247)	Prec@5 65.625 (64.619)
Epoch: [21][12340/14090]	Time 0.727 (0.768)	Data 0.001 (0.001)	Loss 2.5942 (2.7584)	Prec@1 35.938 (34.246)	Prec@5 70.312 (64.618)
Epoch: [21][12350/14090]	Time 0.756 (0.768)	Data 0.001 (0.001)	Loss 2.5935 (2.7583)	Prec@1 42.188 (34.247)	Prec@5 65.625 (64.620)
Epoch: [21][12360/14090]	Time 0.775 (0.768)	Data 0.001 (0.001)	Loss 2.8295 (2.7584)	Prec@1 35.938 (34.246)	Prec@5 67.188 (64.618)
Epoch: [21][12370/14090]	Time 0.839 (0.768)	Data 0.001 (0.001)	Loss 2.8966 (2.7584)	Prec@1 27.344 (34.245)	Prec@5 60.156 (64.620)
Epoch: [21][12380/14090]	Time 0.734 (0.768)	Data 0.001 (0.001)	Loss 2.9163 (2.7584)	Prec@1 26.562 (34.245)	Prec@5 62.500 (64.620)
Epoch: [21][12390/14090]	Time 0.727 (0.768)	Data 0.001 (0.001)	Loss 2.7168 (2.7584)	Prec@1 32.812 (34.245)	Prec@5 63.281 (64.618)
Epoch: [21][12400/14090]	Time 0.760 (0.768)	Data 0.001 (0.001)	Loss 2.8176 (2.7584)	Prec@1 34.375 (34.244)	Prec@5 60.156 (64.618)
Epoch: [21][12410/14090]	Time 0.734 (0.768)	Data 0.001 (0.001)	Loss 3.1495 (2.7584)	Prec@1 28.125 (34.245)	Prec@5 57.812 (64.618)
Epoch: [21][12420/14090]	Time 0.754 (0.768)	Data 0.001 (0.001)	Loss 2.4964 (2.7584)	Prec@1 37.500 (34.245)	Prec@5 71.094 (64.618)
Epoch: [21][12430/14090]	Time 0.747 (0.768)	Data 0.001 (0.001)	Loss 2.7443 (2.7584)	Prec@1 32.812 (34.243)	Prec@5 63.281 (64.618)
Epoch: [21][12440/14090]	Time 0.834 (0.768)	Data 0.001 (0.001)	Loss 2.7255 (2.7583)	Prec@1 38.281 (34.246)	Prec@5 64.062 (64.621)
Epoch: [21][12450/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 2.7569 (2.7583)	Prec@1 34.375 (34.247)	Prec@5 61.719 (64.621)
Epoch: [21][12460/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 2.6088 (2.7583)	Prec@1 39.062 (34.248)	Prec@5 67.188 (64.621)
Epoch: [21][12470/14090]	Time 0.773 (0.767)	Data 0.001 (0.001)	Loss 2.4698 (2.7582)	Prec@1 40.625 (34.248)	Prec@5 67.969 (64.624)
Epoch: [21][12480/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 2.7024 (2.7582)	Prec@1 31.250 (34.248)	Prec@5 66.406 (64.623)
Epoch: [21][12490/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 2.7876 (2.7582)	Prec@1 29.688 (34.248)	Prec@5 60.938 (64.623)
Epoch: [21][12500/14090]	Time 0.726 (0.767)	Data 0.001 (0.001)	Loss 2.6815 (2.7582)	Prec@1 35.938 (34.247)	Prec@5 67.969 (64.623)
Epoch: [21][12510/14090]	Time 0.803 (0.767)	Data 0.001 (0.001)	Loss 2.6525 (2.7582)	Prec@1 36.719 (34.247)	Prec@5 60.156 (64.623)
Epoch: [21][12520/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 2.6879 (2.7581)	Prec@1 36.719 (34.247)	Prec@5 64.062 (64.622)
Epoch: [21][12530/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.5052 (2.7581)	Prec@1 40.625 (34.247)	Prec@5 68.750 (64.622)
Epoch: [21][12540/14090]	Time 0.722 (0.767)	Data 0.001 (0.001)	Loss 2.7820 (2.7581)	Prec@1 38.281 (34.246)	Prec@5 65.625 (64.622)
Epoch: [21][12550/14090]	Time 0.724 (0.767)	Data 0.001 (0.001)	Loss 2.7867 (2.7581)	Prec@1 31.250 (34.246)	Prec@5 64.062 (64.623)
Epoch: [21][12560/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 2.7001 (2.7581)	Prec@1 37.500 (34.246)	Prec@5 63.281 (64.622)
Epoch: [21][12570/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 2.9039 (2.7581)	Prec@1 31.250 (34.245)	Prec@5 63.281 (64.622)
Epoch: [21][12580/14090]	Time 0.844 (0.767)	Data 0.001 (0.001)	Loss 3.0172 (2.7582)	Prec@1 25.781 (34.244)	Prec@5 62.500 (64.621)
Epoch: [21][12590/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 3.0255 (2.7582)	Prec@1 26.562 (34.243)	Prec@5 63.281 (64.620)
Epoch: [21][12600/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 2.5721 (2.7582)	Prec@1 35.938 (34.240)	Prec@5 68.750 (64.620)
Epoch: [21][12610/14090]	Time 0.767 (0.767)	Data 0.001 (0.001)	Loss 2.7633 (2.7582)	Prec@1 31.250 (34.240)	Prec@5 67.188 (64.620)
Epoch: [21][12620/14090]	Time 0.726 (0.767)	Data 0.001 (0.001)	Loss 2.5892 (2.7581)	Prec@1 41.406 (34.242)	Prec@5 67.969 (64.621)
Epoch: [21][12630/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 2.7760 (2.7581)	Prec@1 35.156 (34.242)	Prec@5 63.281 (64.621)
Epoch: [21][12640/14090]	Time 0.770 (0.767)	Data 0.001 (0.001)	Loss 2.6188 (2.7582)	Prec@1 36.719 (34.242)	Prec@5 67.188 (64.619)
Epoch: [21][12650/14090]	Time 0.883 (0.767)	Data 0.001 (0.001)	Loss 3.0385 (2.7582)	Prec@1 30.469 (34.240)	Prec@5 55.469 (64.618)
Epoch: [21][12660/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 2.9048 (2.7583)	Prec@1 25.000 (34.238)	Prec@5 60.156 (64.619)
Epoch: [21][12670/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 2.6468 (2.7582)	Prec@1 35.938 (34.239)	Prec@5 66.406 (64.621)
Epoch: [21][12680/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 2.8391 (2.7582)	Prec@1 32.812 (34.238)	Prec@5 62.500 (64.621)
Epoch: [21][12690/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 2.7576 (2.7582)	Prec@1 38.281 (34.239)	Prec@5 63.281 (64.620)
Epoch: [21][12700/14090]	Time 0.727 (0.767)	Data 0.001 (0.001)	Loss 2.7824 (2.7582)	Prec@1 30.469 (34.239)	Prec@5 65.625 (64.620)
Epoch: [21][12710/14090]	Time 0.773 (0.767)	Data 0.001 (0.001)	Loss 2.7302 (2.7582)	Prec@1 32.031 (34.240)	Prec@5 64.062 (64.620)
Epoch: [21][12720/14090]	Time 0.851 (0.767)	Data 0.001 (0.001)	Loss 3.1623 (2.7582)	Prec@1 22.656 (34.240)	Prec@5 58.594 (64.620)
Epoch: [21][12730/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 2.7469 (2.7582)	Prec@1 32.031 (34.241)	Prec@5 61.719 (64.619)
Epoch: [21][12740/14090]	Time 0.777 (0.767)	Data 0.001 (0.001)	Loss 2.9376 (2.7582)	Prec@1 33.594 (34.239)	Prec@5 59.375 (64.617)
Epoch: [21][12750/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 2.7222 (2.7582)	Prec@1 34.375 (34.241)	Prec@5 62.500 (64.618)
Epoch: [21][12760/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 2.8701 (2.7582)	Prec@1 27.344 (34.241)	Prec@5 60.938 (64.618)
Epoch: [21][12770/14090]	Time 0.766 (0.767)	Data 0.001 (0.001)	Loss 2.4423 (2.7582)	Prec@1 36.719 (34.240)	Prec@5 68.750 (64.618)
Epoch: [21][12780/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 2.9248 (2.7583)	Prec@1 35.156 (34.239)	Prec@5 60.156 (64.618)
Epoch: [21][12790/14090]	Time 0.879 (0.767)	Data 0.001 (0.001)	Loss 2.7428 (2.7583)	Prec@1 35.938 (34.238)	Prec@5 67.188 (64.618)
Epoch: [21][12800/14090]	Time 0.724 (0.767)	Data 0.001 (0.001)	Loss 2.8091 (2.7583)	Prec@1 33.594 (34.239)	Prec@5 62.500 (64.619)
Epoch: [21][12810/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 2.7577 (2.7583)	Prec@1 32.812 (34.237)	Prec@5 65.625 (64.617)
Epoch: [21][12820/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 2.5515 (2.7584)	Prec@1 39.844 (34.237)	Prec@5 69.531 (64.617)
Epoch: [21][12830/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 2.9693 (2.7583)	Prec@1 30.469 (34.236)	Prec@5 63.281 (64.617)
Epoch: [21][12840/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 3.1482 (2.7584)	Prec@1 24.219 (34.235)	Prec@5 56.250 (64.614)
Epoch: [21][12850/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.9132 (2.7585)	Prec@1 32.812 (34.234)	Prec@5 62.500 (64.612)
Epoch: [21][12860/14090]	Time 0.858 (0.767)	Data 0.001 (0.001)	Loss 2.7051 (2.7585)	Prec@1 35.156 (34.235)	Prec@5 63.281 (64.611)
Epoch: [21][12870/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.6427 (2.7585)	Prec@1 31.250 (34.235)	Prec@5 66.406 (64.611)
Epoch: [21][12880/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 2.6302 (2.7586)	Prec@1 34.375 (34.234)	Prec@5 70.312 (64.611)
Epoch: [21][12890/14090]	Time 0.763 (0.767)	Data 0.001 (0.001)	Loss 2.9493 (2.7585)	Prec@1 26.562 (34.234)	Prec@5 58.594 (64.611)
Epoch: [21][12900/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 2.6501 (2.7585)	Prec@1 32.031 (34.235)	Prec@5 68.750 (64.611)
Epoch: [21][12910/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 2.7553 (2.7586)	Prec@1 28.125 (34.234)	Prec@5 66.406 (64.611)
Epoch: [21][12920/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 2.7936 (2.7586)	Prec@1 34.375 (34.234)	Prec@5 63.281 (64.610)
Epoch: [21][12930/14090]	Time 0.877 (0.767)	Data 0.001 (0.001)	Loss 2.4087 (2.7586)	Prec@1 45.312 (34.235)	Prec@5 74.219 (64.610)
Epoch: [21][12940/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 2.6090 (2.7585)	Prec@1 36.719 (34.235)	Prec@5 65.625 (64.611)
Epoch: [21][12950/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.9771 (2.7585)	Prec@1 32.812 (34.233)	Prec@5 61.719 (64.610)
Epoch: [21][12960/14090]	Time 0.773 (0.767)	Data 0.001 (0.001)	Loss 2.4822 (2.7585)	Prec@1 39.844 (34.233)	Prec@5 71.094 (64.611)
Epoch: [21][12970/14090]	Time 0.770 (0.767)	Data 0.001 (0.001)	Loss 2.9554 (2.7584)	Prec@1 28.906 (34.234)	Prec@5 58.594 (64.613)
Epoch: [21][12980/14090]	Time 0.774 (0.767)	Data 0.001 (0.001)	Loss 2.2913 (2.7585)	Prec@1 49.219 (34.232)	Prec@5 74.219 (64.612)
Epoch: [21][12990/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 3.0623 (2.7586)	Prec@1 30.469 (34.233)	Prec@5 57.031 (64.613)
Epoch: [21][13000/14090]	Time 0.868 (0.767)	Data 0.001 (0.001)	Loss 2.7044 (2.7586)	Prec@1 35.938 (34.233)	Prec@5 66.406 (64.613)
Epoch: [21][13010/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 2.7789 (2.7586)	Prec@1 28.906 (34.232)	Prec@5 64.844 (64.611)
Epoch: [21][13020/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 3.0273 (2.7587)	Prec@1 28.906 (34.231)	Prec@5 62.500 (64.611)
Epoch: [21][13030/14090]	Time 0.770 (0.767)	Data 0.001 (0.001)	Loss 2.7798 (2.7587)	Prec@1 34.375 (34.230)	Prec@5 63.281 (64.612)
Epoch: [21][13040/14090]	Time 0.766 (0.767)	Data 0.001 (0.001)	Loss 2.7947 (2.7586)	Prec@1 32.812 (34.231)	Prec@5 63.281 (64.613)
Epoch: [21][13050/14090]	Time 0.765 (0.767)	Data 0.001 (0.001)	Loss 2.9498 (2.7586)	Prec@1 30.469 (34.232)	Prec@5 60.938 (64.613)
Epoch: [21][13060/14090]	Time 0.776 (0.767)	Data 0.001 (0.001)	Loss 2.4339 (2.7586)	Prec@1 33.594 (34.231)	Prec@5 71.875 (64.616)
Epoch: [21][13070/14090]	Time 0.842 (0.767)	Data 0.001 (0.001)	Loss 2.6895 (2.7585)	Prec@1 36.719 (34.231)	Prec@5 66.406 (64.617)
Epoch: [21][13080/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 3.0350 (2.7586)	Prec@1 34.375 (34.231)	Prec@5 57.812 (64.617)
Epoch: [21][13090/14090]	Time 0.725 (0.767)	Data 0.001 (0.001)	Loss 3.1448 (2.7586)	Prec@1 23.438 (34.229)	Prec@5 56.250 (64.616)
Epoch: [21][13100/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 2.8333 (2.7586)	Prec@1 38.281 (34.229)	Prec@5 60.156 (64.616)
Epoch: [21][13110/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 2.5905 (2.7586)	Prec@1 41.406 (34.229)	Prec@5 67.188 (64.615)
Epoch: [21][13120/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 2.7254 (2.7585)	Prec@1 33.594 (34.229)	Prec@5 64.844 (64.616)
Epoch: [21][13130/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 2.9577 (2.7585)	Prec@1 28.906 (34.230)	Prec@5 60.938 (64.616)
Epoch: [21][13140/14090]	Time 0.823 (0.767)	Data 0.001 (0.001)	Loss 2.7368 (2.7585)	Prec@1 39.844 (34.231)	Prec@5 64.062 (64.617)
Epoch: [21][13150/14090]	Time 0.765 (0.767)	Data 0.001 (0.001)	Loss 2.5599 (2.7584)	Prec@1 37.500 (34.232)	Prec@5 67.188 (64.618)
Epoch: [21][13160/14090]	Time 0.779 (0.767)	Data 0.001 (0.001)	Loss 2.9296 (2.7584)	Prec@1 29.688 (34.233)	Prec@5 63.281 (64.619)
Epoch: [21][13170/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 2.6130 (2.7584)	Prec@1 32.031 (34.233)	Prec@5 66.406 (64.618)
Epoch: [21][13180/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 2.7063 (2.7584)	Prec@1 32.031 (34.231)	Prec@5 66.406 (64.619)
Epoch: [21][13190/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 2.8831 (2.7584)	Prec@1 29.688 (34.231)	Prec@5 64.844 (64.619)
Epoch: [21][13200/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 2.9708 (2.7584)	Prec@1 33.594 (34.231)	Prec@5 57.812 (64.619)
Epoch: [21][13210/14090]	Time 0.854 (0.767)	Data 0.001 (0.001)	Loss 2.6793 (2.7584)	Prec@1 35.156 (34.230)	Prec@5 62.500 (64.618)
Epoch: [21][13220/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 2.6783 (2.7584)	Prec@1 35.156 (34.232)	Prec@5 64.062 (64.620)
Epoch: [21][13230/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 2.9429 (2.7584)	Prec@1 28.125 (34.230)	Prec@5 60.156 (64.618)
Epoch: [21][13240/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 2.7514 (2.7584)	Prec@1 33.594 (34.230)	Prec@5 61.719 (64.618)
Epoch: [21][13250/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 2.6965 (2.7584)	Prec@1 32.812 (34.229)	Prec@5 67.188 (64.618)
Epoch: [21][13260/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 3.1430 (2.7584)	Prec@1 26.562 (34.230)	Prec@5 59.375 (64.617)
Epoch: [21][13270/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 2.8050 (2.7584)	Prec@1 34.375 (34.230)	Prec@5 67.188 (64.617)
Epoch: [21][13280/14090]	Time 0.889 (0.767)	Data 0.001 (0.001)	Loss 2.6528 (2.7584)	Prec@1 38.281 (34.231)	Prec@5 60.156 (64.616)
Epoch: [21][13290/14090]	Time 0.727 (0.767)	Data 0.001 (0.001)	Loss 2.6904 (2.7585)	Prec@1 36.719 (34.230)	Prec@5 64.062 (64.615)
Epoch: [21][13300/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 2.9705 (2.7586)	Prec@1 28.125 (34.227)	Prec@5 58.594 (64.612)
Epoch: [21][13310/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 2.6692 (2.7585)	Prec@1 39.062 (34.228)	Prec@5 67.969 (64.613)
Epoch: [21][13320/14090]	Time 0.771 (0.767)	Data 0.001 (0.001)	Loss 2.7602 (2.7585)	Prec@1 35.938 (34.228)	Prec@5 65.625 (64.614)
Epoch: [21][13330/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 2.7966 (2.7585)	Prec@1 35.156 (34.230)	Prec@5 67.969 (64.615)
Epoch: [21][13340/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 3.1638 (2.7584)	Prec@1 27.344 (34.230)	Prec@5 53.906 (64.615)
Epoch: [21][13350/14090]	Time 0.838 (0.767)	Data 0.001 (0.001)	Loss 2.4981 (2.7584)	Prec@1 38.281 (34.232)	Prec@5 74.219 (64.617)
Epoch: [21][13360/14090]	Time 0.777 (0.767)	Data 0.001 (0.001)	Loss 2.4714 (2.7583)	Prec@1 46.094 (34.233)	Prec@5 69.531 (64.617)
Epoch: [21][13370/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 2.7740 (2.7583)	Prec@1 33.594 (34.233)	Prec@5 60.938 (64.617)
Epoch: [21][13380/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.5653 (2.7584)	Prec@1 37.500 (34.233)	Prec@5 64.844 (64.616)
Epoch: [21][13390/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 2.9190 (2.7584)	Prec@1 37.500 (34.233)	Prec@5 60.938 (64.615)
Epoch: [21][13400/14090]	Time 0.727 (0.767)	Data 0.001 (0.001)	Loss 2.4810 (2.7584)	Prec@1 33.594 (34.233)	Prec@5 72.656 (64.615)
Epoch: [21][13410/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 3.0155 (2.7584)	Prec@1 29.688 (34.233)	Prec@5 59.375 (64.615)
Epoch: [21][13420/14090]	Time 0.848 (0.767)	Data 0.001 (0.001)	Loss 2.9615 (2.7585)	Prec@1 29.688 (34.232)	Prec@5 67.188 (64.614)
Epoch: [21][13430/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 2.6294 (2.7584)	Prec@1 32.812 (34.232)	Prec@5 68.750 (64.615)
Epoch: [21][13440/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 2.6075 (2.7584)	Prec@1 33.594 (34.231)	Prec@5 69.531 (64.617)
Epoch: [21][13450/14090]	Time 0.783 (0.767)	Data 0.001 (0.001)	Loss 2.5473 (2.7584)	Prec@1 43.750 (34.232)	Prec@5 71.875 (64.617)
Epoch: [21][13460/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 2.6901 (2.7584)	Prec@1 38.281 (34.233)	Prec@5 67.969 (64.618)
Epoch: [21][13470/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 2.6318 (2.7584)	Prec@1 36.719 (34.232)	Prec@5 67.969 (64.617)
Epoch: [21][13480/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 2.8098 (2.7585)	Prec@1 39.844 (34.233)	Prec@5 60.938 (64.616)
Epoch: [21][13490/14090]	Time 0.827 (0.767)	Data 0.001 (0.001)	Loss 2.8983 (2.7585)	Prec@1 28.906 (34.231)	Prec@5 60.156 (64.615)
Epoch: [21][13500/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 2.5015 (2.7584)	Prec@1 33.594 (34.232)	Prec@5 70.312 (64.617)
Epoch: [21][13510/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 2.8074 (2.7583)	Prec@1 35.938 (34.234)	Prec@5 64.844 (64.620)
Epoch: [21][13520/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.9265 (2.7584)	Prec@1 33.594 (34.233)	Prec@5 60.938 (64.620)
Epoch: [21][13530/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 2.7934 (2.7584)	Prec@1 32.812 (34.232)	Prec@5 67.188 (64.619)
Epoch: [21][13540/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 2.8659 (2.7584)	Prec@1 28.906 (34.232)	Prec@5 67.188 (64.619)
Epoch: [21][13550/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 2.7631 (2.7584)	Prec@1 33.594 (34.232)	Prec@5 61.719 (64.619)
Epoch: [21][13560/14090]	Time 0.866 (0.767)	Data 0.001 (0.001)	Loss 2.6885 (2.7583)	Prec@1 35.156 (34.232)	Prec@5 63.281 (64.620)
Epoch: [21][13570/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 2.7862 (2.7583)	Prec@1 32.031 (34.233)	Prec@5 61.719 (64.621)
Epoch: [21][13580/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.6789 (2.7584)	Prec@1 32.812 (34.231)	Prec@5 68.750 (64.619)
Epoch: [21][13590/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.8330 (2.7583)	Prec@1 32.031 (34.233)	Prec@5 60.938 (64.619)
Epoch: [21][13600/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 2.9788 (2.7583)	Prec@1 30.469 (34.235)	Prec@5 57.812 (64.619)
Epoch: [21][13610/14090]	Time 0.768 (0.767)	Data 0.001 (0.001)	Loss 2.6989 (2.7584)	Prec@1 38.281 (34.234)	Prec@5 68.750 (64.617)
Epoch: [21][13620/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 2.6687 (2.7584)	Prec@1 35.156 (34.233)	Prec@5 63.281 (64.617)
Epoch: [21][13630/14090]	Time 0.872 (0.767)	Data 0.001 (0.001)	Loss 2.8408 (2.7585)	Prec@1 34.375 (34.233)	Prec@5 63.281 (64.616)
Epoch: [21][13640/14090]	Time 0.768 (0.767)	Data 0.001 (0.001)	Loss 2.8912 (2.7585)	Prec@1 36.719 (34.231)	Prec@5 62.500 (64.615)
Epoch: [21][13650/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 2.8292 (2.7585)	Prec@1 32.031 (34.231)	Prec@5 60.938 (64.616)
Epoch: [21][13660/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 2.6748 (2.7585)	Prec@1 35.938 (34.232)	Prec@5 66.406 (64.617)
Epoch: [21][13670/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 2.7864 (2.7585)	Prec@1 32.031 (34.232)	Prec@5 64.844 (64.617)
Epoch: [21][13680/14090]	Time 0.767 (0.767)	Data 0.001 (0.001)	Loss 2.7287 (2.7585)	Prec@1 28.906 (34.232)	Prec@5 67.969 (64.617)
Epoch: [21][13690/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 2.7224 (2.7584)	Prec@1 32.031 (34.234)	Prec@5 66.406 (64.618)
Epoch: [21][13700/14090]	Time 0.840 (0.767)	Data 0.001 (0.001)	Loss 2.4489 (2.7584)	Prec@1 39.844 (34.234)	Prec@5 71.094 (64.619)
Epoch: [21][13710/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 3.0158 (2.7584)	Prec@1 32.031 (34.234)	Prec@5 58.594 (64.619)
Epoch: [21][13720/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 3.1763 (2.7584)	Prec@1 24.219 (34.232)	Prec@5 53.125 (64.617)
Epoch: [21][13730/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 2.7674 (2.7585)	Prec@1 30.469 (34.231)	Prec@5 64.062 (64.617)
Epoch: [21][13740/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 2.8068 (2.7585)	Prec@1 28.906 (34.230)	Prec@5 66.406 (64.618)
Epoch: [21][13750/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 2.4060 (2.7584)	Prec@1 36.719 (34.232)	Prec@5 72.656 (64.618)
Epoch: [21][13760/14090]	Time 0.765 (0.767)	Data 0.001 (0.001)	Loss 2.6668 (2.7584)	Prec@1 31.250 (34.233)	Prec@5 67.969 (64.619)
Epoch: [21][13770/14090]	Time 0.848 (0.767)	Data 0.001 (0.001)	Loss 2.7908 (2.7583)	Prec@1 37.500 (34.235)	Prec@5 66.406 (64.621)
Epoch: [21][13780/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 2.8936 (2.7583)	Prec@1 31.250 (34.235)	Prec@5 60.938 (64.620)
Epoch: [21][13790/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 2.7348 (2.7584)	Prec@1 36.719 (34.235)	Prec@5 64.844 (64.620)
Epoch: [21][13800/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 2.9205 (2.7584)	Prec@1 34.375 (34.236)	Prec@5 61.719 (64.620)
Epoch: [21][13810/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 2.6612 (2.7583)	Prec@1 35.938 (34.237)	Prec@5 64.844 (64.620)
Epoch: [21][13820/14090]	Time 0.766 (0.767)	Data 0.001 (0.001)	Loss 2.7832 (2.7583)	Prec@1 37.500 (34.237)	Prec@5 63.281 (64.621)
Epoch: [21][13830/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 2.5878 (2.7583)	Prec@1 35.938 (34.237)	Prec@5 67.188 (64.621)
Epoch: [21][13840/14090]	Time 0.859 (0.767)	Data 0.001 (0.001)	Loss 2.5179 (2.7583)	Prec@1 45.312 (34.236)	Prec@5 71.875 (64.622)
Epoch: [21][13850/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 2.8648 (2.7583)	Prec@1 33.594 (34.235)	Prec@5 60.938 (64.621)
Epoch: [21][13860/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 2.8006 (2.7584)	Prec@1 28.906 (34.233)	Prec@5 64.062 (64.620)
Epoch: [21][13870/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 2.6445 (2.7584)	Prec@1 32.031 (34.232)	Prec@5 68.750 (64.620)
Epoch: [21][13880/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 2.5955 (2.7583)	Prec@1 39.062 (34.233)	Prec@5 68.750 (64.621)
Epoch: [21][13890/14090]	Time 0.763 (0.767)	Data 0.001 (0.001)	Loss 2.7405 (2.7583)	Prec@1 34.375 (34.233)	Prec@5 66.406 (64.622)
Epoch: [21][13900/14090]	Time 0.723 (0.767)	Data 0.001 (0.001)	Loss 2.6860 (2.7583)	Prec@1 36.719 (34.234)	Prec@5 66.406 (64.624)
Epoch: [21][13910/14090]	Time 0.859 (0.767)	Data 0.001 (0.001)	Loss 2.6963 (2.7582)	Prec@1 36.719 (34.235)	Prec@5 61.719 (64.625)
Epoch: [21][13920/14090]	Time 0.727 (0.767)	Data 0.001 (0.001)	Loss 2.7925 (2.7582)	Prec@1 35.938 (34.235)	Prec@5 64.844 (64.625)
Epoch: [21][13930/14090]	Time 0.774 (0.767)	Data 0.001 (0.001)	Loss 2.8462 (2.7582)	Prec@1 29.688 (34.234)	Prec@5 61.719 (64.624)
Epoch: [21][13940/14090]	Time 0.771 (0.767)	Data 0.001 (0.001)	Loss 2.9132 (2.7582)	Prec@1 35.156 (34.233)	Prec@5 61.719 (64.622)
Epoch: [21][13950/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 2.5409 (2.7583)	Prec@1 38.281 (34.233)	Prec@5 69.531 (64.622)
Epoch: [21][13960/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 2.5701 (2.7583)	Prec@1 38.281 (34.234)	Prec@5 66.406 (64.622)
Epoch: [21][13970/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 2.8641 (2.7582)	Prec@1 32.031 (34.235)	Prec@5 56.250 (64.621)
Epoch: [21][13980/14090]	Time 0.846 (0.767)	Data 0.001 (0.001)	Loss 2.8120 (2.7582)	Prec@1 35.938 (34.235)	Prec@5 57.812 (64.620)
Epoch: [21][13990/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 2.8512 (2.7583)	Prec@1 30.469 (34.235)	Prec@5 64.062 (64.618)
Epoch: [21][14000/14090]	Time 0.766 (0.767)	Data 0.001 (0.001)	Loss 2.7979 (2.7583)	Prec@1 28.125 (34.234)	Prec@5 67.188 (64.619)
Epoch: [21][14010/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 2.9955 (2.7583)	Prec@1 35.156 (34.234)	Prec@5 60.938 (64.619)
Epoch: [21][14020/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 2.8450 (2.7583)	Prec@1 38.281 (34.233)	Prec@5 62.500 (64.616)
Epoch: [21][14030/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 2.6055 (2.7583)	Prec@1 40.625 (34.234)	Prec@5 67.188 (64.615)
Epoch: [21][14040/14090]	Time 0.767 (0.767)	Data 0.001 (0.001)	Loss 2.8174 (2.7583)	Prec@1 36.719 (34.235)	Prec@5 64.062 (64.617)
Epoch: [21][14050/14090]	Time 0.842 (0.767)	Data 0.001 (0.001)	Loss 2.6410 (2.7583)	Prec@1 38.281 (34.235)	Prec@5 67.969 (64.616)
Epoch: [21][14060/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 2.8829 (2.7583)	Prec@1 34.375 (34.237)	Prec@5 66.406 (64.616)
Epoch: [21][14070/14090]	Time 0.726 (0.767)	Data 0.001 (0.001)	Loss 2.3743 (2.7583)	Prec@1 47.656 (34.236)	Prec@5 73.438 (64.615)
Epoch: [21][14080/14090]	Time 0.751 (0.767)	Data 0.000 (0.001)	Loss 2.8558 (2.7583)	Prec@1 35.938 (34.236)	Prec@5 64.062 (64.615)
Test: [0/286]	Time 3.592 (3.592)	Loss 1.0460 (1.0460)	Prec@1 74.219 (74.219)	Prec@5 92.969 (92.969)
Test: [10/286]	Time 0.227 (0.589)	Loss 2.7119 (2.6093)	Prec@1 33.594 (37.571)	Prec@5 70.312 (68.821)
Test: [20/286]	Time 0.233 (0.445)	Loss 2.5699 (2.4477)	Prec@1 42.969 (40.290)	Prec@5 71.875 (71.838)
Test: [30/286]	Time 0.233 (0.395)	Loss 3.5908 (2.4275)	Prec@1 13.281 (40.373)	Prec@5 46.875 (71.396)
Test: [40/286]	Time 0.470 (0.374)	Loss 1.6980 (2.4275)	Prec@1 54.688 (40.682)	Prec@5 88.281 (71.132)
Test: [50/286]	Time 0.318 (0.359)	Loss 1.0019 (2.4366)	Prec@1 78.125 (40.380)	Prec@5 88.281 (71.293)
Test: [60/286]	Time 0.230 (0.345)	Loss 2.7677 (2.4475)	Prec@1 38.281 (40.766)	Prec@5 67.188 (70.735)
Test: [70/286]	Time 0.228 (0.339)	Loss 1.4029 (2.3913)	Prec@1 63.281 (42.033)	Prec@5 88.281 (71.798)
Test: [80/286]	Time 0.594 (0.336)	Loss 3.0279 (2.4065)	Prec@1 28.125 (41.194)	Prec@5 57.031 (71.566)
Test: [90/286]	Time 0.258 (0.333)	Loss 2.7865 (2.4227)	Prec@1 33.594 (40.548)	Prec@5 59.375 (71.274)
Test: [100/286]	Time 0.296 (0.328)	Loss 3.4320 (2.4314)	Prec@1 10.938 (40.099)	Prec@5 43.750 (71.318)
Test: [110/286]	Time 0.237 (0.325)	Loss 2.2380 (2.4352)	Prec@1 46.875 (39.872)	Prec@5 75.000 (71.403)
Test: [120/286]	Time 0.295 (0.322)	Loss 3.4246 (2.4319)	Prec@1 19.531 (39.902)	Prec@5 54.688 (71.442)
Test: [130/286]	Time 0.319 (0.322)	Loss 1.9976 (2.4308)	Prec@1 50.000 (40.064)	Prec@5 79.688 (71.398)
Test: [140/286]	Time 0.313 (0.320)	Loss 2.6971 (2.4207)	Prec@1 41.406 (40.320)	Prec@5 66.406 (71.720)
Test: [150/286]	Time 0.234 (0.318)	Loss 3.4877 (2.4360)	Prec@1 14.062 (39.570)	Prec@5 46.875 (71.477)
Test: [160/286]	Time 0.228 (0.318)	Loss 3.1809 (2.4446)	Prec@1 14.062 (39.392)	Prec@5 57.812 (71.390)
Test: [170/286]	Time 0.291 (0.317)	Loss 3.0409 (2.4343)	Prec@1 19.531 (39.419)	Prec@5 64.844 (71.482)
Test: [180/286]	Time 0.232 (0.316)	Loss 2.3697 (2.4546)	Prec@1 35.156 (38.825)	Prec@5 70.312 (71.137)
Test: [190/286]	Time 0.239 (0.314)	Loss 3.8400 (2.4759)	Prec@1 3.125 (38.351)	Prec@5 51.562 (70.750)
Test: [200/286]	Time 0.473 (0.315)	Loss 1.9580 (2.4631)	Prec@1 58.594 (38.689)	Prec@5 82.812 (70.899)
Test: [210/286]	Time 0.504 (0.316)	Loss 2.5586 (2.4819)	Prec@1 33.594 (38.237)	Prec@5 73.438 (70.642)
Test: [220/286]	Time 0.250 (0.314)	Loss 4.1305 (2.4876)	Prec@1 14.062 (38.363)	Prec@5 28.906 (70.390)
Test: [230/286]	Time 0.260 (0.313)	Loss 2.1886 (2.5019)	Prec@1 51.562 (38.149)	Prec@5 72.656 (70.049)
Test: [240/286]	Time 0.628 (0.314)	Loss 2.6824 (2.5082)	Prec@1 33.594 (38.071)	Prec@5 71.094 (69.988)
Test: [250/286]	Time 0.268 (0.314)	Loss 2.1184 (2.4945)	Prec@1 50.781 (38.263)	Prec@5 75.000 (70.372)
Test: [260/286]	Time 0.362 (0.313)	Loss 1.6296 (2.4817)	Prec@1 58.594 (38.542)	Prec@5 87.500 (70.591)
Test: [270/286]	Time 0.239 (0.312)	Loss 2.2753 (2.4806)	Prec@1 52.344 (38.495)	Prec@5 75.000 (70.751)
Test: [280/286]	Time 0.616 (0.312)	Loss 2.4062 (2.4657)	Prec@1 35.938 (38.890)	Prec@5 75.781 (70.913)
 * Prec@1 39.119 Prec@5 71.038
Epoch: [22][0/14090]	Time 4.923 (4.923)	Data 4.157 (4.157)	Loss 2.7531 (2.7531)	Prec@1 32.031 (32.031)	Prec@5 60.938 (60.938)
Epoch: [22][10/14090]	Time 0.719 (1.119)	Data 0.001 (0.379)	Loss 2.7380 (2.6734)	Prec@1 38.281 (35.653)	Prec@5 67.188 (64.915)
Epoch: [22][20/14090]	Time 0.826 (0.948)	Data 0.001 (0.199)	Loss 2.8576 (2.6957)	Prec@1 30.469 (34.896)	Prec@5 63.281 (65.699)
Epoch: [22][30/14090]	Time 0.738 (0.883)	Data 0.001 (0.135)	Loss 2.9189 (2.7258)	Prec@1 30.469 (34.854)	Prec@5 57.031 (64.617)
Epoch: [22][40/14090]	Time 0.741 (0.852)	Data 0.001 (0.102)	Loss 2.7967 (2.7445)	Prec@1 34.375 (34.870)	Prec@5 60.938 (64.177)
Epoch: [22][50/14090]	Time 0.737 (0.837)	Data 0.001 (0.082)	Loss 2.7349 (2.7467)	Prec@1 33.594 (34.773)	Prec@5 69.531 (64.292)
Epoch: [22][60/14090]	Time 0.748 (0.825)	Data 0.001 (0.069)	Loss 2.8357 (2.7493)	Prec@1 35.156 (34.388)	Prec@5 64.844 (64.306)
Epoch: [22][70/14090]	Time 0.766 (0.820)	Data 0.001 (0.059)	Loss 2.8646 (2.7513)	Prec@1 35.156 (34.595)	Prec@5 60.156 (64.349)
Epoch: [22][80/14090]	Time 0.749 (0.813)	Data 0.001 (0.052)	Loss 2.7399 (2.7394)	Prec@1 33.594 (34.751)	Prec@5 65.625 (64.593)
Epoch: [22][90/14090]	Time 0.855 (0.809)	Data 0.001 (0.047)	Loss 2.9334 (2.7424)	Prec@1 33.594 (34.667)	Prec@5 61.719 (64.621)
Epoch: [22][100/14090]	Time 0.734 (0.806)	Data 0.001 (0.042)	Loss 2.9097 (2.7434)	Prec@1 36.719 (34.808)	Prec@5 58.594 (64.442)
Epoch: [22][110/14090]	Time 0.745 (0.802)	Data 0.001 (0.038)	Loss 2.6369 (2.7420)	Prec@1 37.500 (34.635)	Prec@5 72.656 (64.647)
Epoch: [22][120/14090]	Time 0.756 (0.801)	Data 0.001 (0.035)	Loss 2.7606 (2.7410)	Prec@1 35.938 (34.678)	Prec@5 65.625 (64.611)
Epoch: [22][130/14090]	Time 0.768 (0.799)	Data 0.001 (0.033)	Loss 2.8062 (2.7397)	Prec@1 35.156 (34.822)	Prec@5 58.594 (64.647)
Epoch: [22][140/14090]	Time 0.768 (0.798)	Data 0.001 (0.030)	Loss 2.7995 (2.7365)	Prec@1 35.938 (34.813)	Prec@5 65.625 (64.838)
Epoch: [22][150/14090]	Time 0.753 (0.795)	Data 0.001 (0.028)	Loss 2.7472 (2.7320)	Prec@1 35.938 (34.923)	Prec@5 67.969 (65.035)
Epoch: [22][160/14090]	Time 0.857 (0.794)	Data 0.001 (0.027)	Loss 2.8140 (2.7273)	Prec@1 30.469 (34.991)	Prec@5 60.938 (65.140)
Epoch: [22][170/14090]	Time 0.733 (0.792)	Data 0.001 (0.025)	Loss 2.7343 (2.7301)	Prec@1 33.594 (34.932)	Prec@5 67.188 (65.104)
Epoch: [22][180/14090]	Time 0.732 (0.790)	Data 0.001 (0.024)	Loss 2.5923 (2.7332)	Prec@1 42.969 (34.858)	Prec@5 67.969 (65.003)
Epoch: [22][190/14090]	Time 0.762 (0.790)	Data 0.001 (0.023)	Loss 2.8195 (2.7339)	Prec@1 32.812 (34.833)	Prec@5 60.156 (64.917)
Epoch: [22][200/14090]	Time 0.755 (0.788)	Data 0.001 (0.022)	Loss 2.7018 (2.7348)	Prec@1 35.156 (34.752)	Prec@5 67.188 (65.003)
Epoch: [22][210/14090]	Time 0.769 (0.788)	Data 0.001 (0.021)	Loss 2.7982 (2.7354)	Prec@1 30.469 (34.712)	Prec@5 64.844 (64.959)
Epoch: [22][220/14090]	Time 0.742 (0.787)	Data 0.001 (0.020)	Loss 2.9817 (2.7406)	Prec@1 28.906 (34.594)	Prec@5 60.938 (64.826)
Epoch: [22][230/14090]	Time 0.902 (0.787)	Data 0.001 (0.019)	Loss 2.7411 (2.7412)	Prec@1 35.156 (34.561)	Prec@5 64.062 (64.786)
Epoch: [22][240/14090]	Time 0.746 (0.786)	Data 0.001 (0.018)	Loss 2.5987 (2.7408)	Prec@1 35.938 (34.592)	Prec@5 70.312 (64.785)
Epoch: [22][250/14090]	Time 0.745 (0.786)	Data 0.001 (0.017)	Loss 2.5227 (2.7408)	Prec@1 37.500 (34.624)	Prec@5 69.531 (64.844)
Epoch: [22][260/14090]	Time 0.769 (0.786)	Data 0.002 (0.017)	Loss 2.6083 (2.7416)	Prec@1 39.062 (34.611)	Prec@5 67.188 (64.874)
Epoch: [22][270/14090]	Time 0.732 (0.785)	Data 0.001 (0.016)	Loss 2.6403 (2.7414)	Prec@1 41.406 (34.609)	Prec@5 64.062 (64.838)
Epoch: [22][280/14090]	Time 0.724 (0.784)	Data 0.001 (0.016)	Loss 2.8495 (2.7366)	Prec@1 31.250 (34.642)	Prec@5 65.625 (64.930)
Epoch: [22][290/14090]	Time 0.749 (0.784)	Data 0.001 (0.015)	Loss 2.5541 (2.7362)	Prec@1 38.281 (34.668)	Prec@5 71.094 (64.946)
Epoch: [22][300/14090]	Time 0.868 (0.784)	Data 0.001 (0.015)	Loss 2.7665 (2.7367)	Prec@1 32.812 (34.686)	Prec@5 62.500 (64.929)
Epoch: [22][310/14090]	Time 0.739 (0.783)	Data 0.001 (0.014)	Loss 2.9975 (2.7393)	Prec@1 31.250 (34.704)	Prec@5 54.688 (64.869)
Epoch: [22][320/14090]	Time 0.770 (0.783)	Data 0.001 (0.014)	Loss 2.7236 (2.7402)	Prec@1 35.156 (34.648)	Prec@5 63.281 (64.885)
Epoch: [22][330/14090]	Time 0.770 (0.783)	Data 0.001 (0.013)	Loss 2.7647 (2.7433)	Prec@1 28.906 (34.604)	Prec@5 63.281 (64.811)
Epoch: [22][340/14090]	Time 0.782 (0.782)	Data 0.001 (0.013)	Loss 2.9504 (2.7453)	Prec@1 30.469 (34.567)	Prec@5 57.031 (64.809)
Epoch: [22][350/14090]	Time 0.758 (0.782)	Data 0.001 (0.013)	Loss 3.0295 (2.7434)	Prec@1 24.219 (34.575)	Prec@5 61.719 (64.848)
Epoch: [22][360/14090]	Time 0.758 (0.781)	Data 0.001 (0.012)	Loss 2.7047 (2.7451)	Prec@1 30.469 (34.550)	Prec@5 64.844 (64.820)
Epoch: [22][370/14090]	Time 0.888 (0.781)	Data 0.001 (0.012)	Loss 2.4687 (2.7432)	Prec@1 39.062 (34.602)	Prec@5 66.406 (64.812)
Epoch: [22][380/14090]	Time 0.753 (0.781)	Data 0.001 (0.012)	Loss 2.6109 (2.7403)	Prec@1 33.594 (34.658)	Prec@5 64.844 (64.858)
Epoch: [22][390/14090]	Time 0.726 (0.780)	Data 0.002 (0.011)	Loss 2.9233 (2.7442)	Prec@1 31.250 (34.553)	Prec@5 64.062 (64.816)
Epoch: [22][400/14090]	Time 0.778 (0.780)	Data 0.001 (0.011)	Loss 2.5757 (2.7433)	Prec@1 42.969 (34.587)	Prec@5 63.281 (64.813)
Epoch: [22][410/14090]	Time 0.730 (0.780)	Data 0.001 (0.011)	Loss 2.4900 (2.7435)	Prec@1 40.625 (34.576)	Prec@5 65.625 (64.819)
Epoch: [22][420/14090]	Time 0.757 (0.780)	Data 0.001 (0.011)	Loss 2.7617 (2.7414)	Prec@1 38.281 (34.629)	Prec@5 64.844 (64.888)
Epoch: [22][430/14090]	Time 0.753 (0.779)	Data 0.001 (0.010)	Loss 2.8515 (2.7425)	Prec@1 32.812 (34.598)	Prec@5 62.500 (64.862)
Epoch: [22][440/14090]	Time 0.824 (0.779)	Data 0.001 (0.010)	Loss 2.5554 (2.7408)	Prec@1 39.062 (34.614)	Prec@5 64.844 (64.879)
Epoch: [22][450/14090]	Time 0.765 (0.779)	Data 0.001 (0.010)	Loss 2.6427 (2.7406)	Prec@1 30.469 (34.605)	Prec@5 68.750 (64.901)
Epoch: [22][460/14090]	Time 0.769 (0.779)	Data 0.001 (0.010)	Loss 3.1545 (2.7436)	Prec@1 31.250 (34.555)	Prec@5 55.469 (64.857)
Epoch: [22][470/14090]	Time 0.743 (0.778)	Data 0.001 (0.010)	Loss 2.6444 (2.7426)	Prec@1 36.719 (34.572)	Prec@5 62.500 (64.854)
Epoch: [22][480/14090]	Time 0.723 (0.778)	Data 0.001 (0.009)	Loss 2.5376 (2.7411)	Prec@1 35.156 (34.565)	Prec@5 65.625 (64.870)
Epoch: [22][490/14090]	Time 0.762 (0.778)	Data 0.001 (0.009)	Loss 2.8193 (2.7411)	Prec@1 36.719 (34.604)	Prec@5 64.062 (64.871)
Epoch: [22][500/14090]	Time 0.741 (0.778)	Data 0.001 (0.009)	Loss 2.5922 (2.7416)	Prec@1 39.062 (34.600)	Prec@5 68.750 (64.847)
Epoch: [22][510/14090]	Time 0.860 (0.777)	Data 0.001 (0.009)	Loss 2.6605 (2.7413)	Prec@1 35.156 (34.615)	Prec@5 65.625 (64.864)
Epoch: [22][520/14090]	Time 0.742 (0.777)	Data 0.001 (0.009)	Loss 2.4350 (2.7401)	Prec@1 46.094 (34.618)	Prec@5 72.656 (64.895)
Epoch: [22][530/14090]	Time 0.769 (0.777)	Data 0.001 (0.009)	Loss 2.7669 (2.7406)	Prec@1 39.844 (34.628)	Prec@5 67.188 (64.888)
Epoch: [22][540/14090]	Time 0.740 (0.777)	Data 0.001 (0.009)	Loss 2.7511 (2.7401)	Prec@1 30.469 (34.658)	Prec@5 64.844 (64.878)
Epoch: [22][550/14090]	Time 0.734 (0.776)	Data 0.001 (0.008)	Loss 3.0301 (2.7428)	Prec@1 36.719 (34.615)	Prec@5 59.375 (64.855)
Epoch: [22][560/14090]	Time 0.761 (0.776)	Data 0.001 (0.008)	Loss 2.6484 (2.7435)	Prec@1 37.500 (34.609)	Prec@5 63.281 (64.823)
Epoch: [22][570/14090]	Time 0.726 (0.776)	Data 0.001 (0.008)	Loss 2.8538 (2.7447)	Prec@1 28.125 (34.590)	Prec@5 61.719 (64.808)
Epoch: [22][580/14090]	Time 0.857 (0.776)	Data 0.001 (0.008)	Loss 2.6661 (2.7437)	Prec@1 39.062 (34.632)	Prec@5 65.625 (64.799)
Epoch: [22][590/14090]	Time 0.759 (0.776)	Data 0.001 (0.008)	Loss 2.8122 (2.7434)	Prec@1 35.156 (34.575)	Prec@5 60.938 (64.815)
Epoch: [22][600/14090]	Time 0.751 (0.776)	Data 0.001 (0.008)	Loss 2.7011 (2.7432)	Prec@1 38.281 (34.563)	Prec@5 62.500 (64.818)
Epoch: [22][610/14090]	Time 0.760 (0.776)	Data 0.001 (0.008)	Loss 2.6000 (2.7426)	Prec@1 34.375 (34.550)	Prec@5 70.312 (64.807)
Epoch: [22][620/14090]	Time 0.728 (0.775)	Data 0.001 (0.008)	Loss 2.7671 (2.7433)	Prec@1 39.062 (34.550)	Prec@5 66.406 (64.797)
Epoch: [22][630/14090]	Time 0.752 (0.775)	Data 0.001 (0.007)	Loss 2.6922 (2.7420)	Prec@1 29.688 (34.590)	Prec@5 71.094 (64.823)
Epoch: [22][640/14090]	Time 0.763 (0.775)	Data 0.001 (0.007)	Loss 2.7383 (2.7420)	Prec@1 39.062 (34.587)	Prec@5 67.188 (64.830)
Epoch: [22][650/14090]	Time 0.863 (0.775)	Data 0.001 (0.007)	Loss 2.8712 (2.7438)	Prec@1 32.031 (34.566)	Prec@5 64.844 (64.802)
Epoch: [22][660/14090]	Time 0.750 (0.775)	Data 0.001 (0.007)	Loss 2.6123 (2.7441)	Prec@1 34.375 (34.533)	Prec@5 68.750 (64.795)
Epoch: [22][670/14090]	Time 0.736 (0.775)	Data 0.001 (0.007)	Loss 2.7946 (2.7445)	Prec@1 30.469 (34.525)	Prec@5 58.594 (64.794)
Epoch: [22][680/14090]	Time 0.741 (0.775)	Data 0.001 (0.007)	Loss 2.8488 (2.7448)	Prec@1 32.812 (34.533)	Prec@5 64.062 (64.775)
Epoch: [22][690/14090]	Time 0.756 (0.774)	Data 0.001 (0.007)	Loss 2.5362 (2.7454)	Prec@1 33.594 (34.540)	Prec@5 72.656 (64.761)
Epoch: [22][700/14090]	Time 0.744 (0.774)	Data 0.001 (0.007)	Loss 2.6815 (2.7450)	Prec@1 40.625 (34.543)	Prec@5 64.844 (64.753)
Epoch: [22][710/14090]	Time 0.774 (0.774)	Data 0.001 (0.007)	Loss 2.4752 (2.7442)	Prec@1 39.844 (34.571)	Prec@5 68.750 (64.779)
Epoch: [22][720/14090]	Time 0.900 (0.774)	Data 0.001 (0.007)	Loss 2.7108 (2.7433)	Prec@1 34.375 (34.577)	Prec@5 63.281 (64.791)
Epoch: [22][730/14090]	Time 0.749 (0.774)	Data 0.001 (0.006)	Loss 2.6118 (2.7431)	Prec@1 36.719 (34.565)	Prec@5 63.281 (64.786)
Epoch: [22][740/14090]	Time 0.719 (0.774)	Data 0.001 (0.006)	Loss 2.6886 (2.7429)	Prec@1 41.406 (34.572)	Prec@5 65.625 (64.803)
Epoch: [22][750/14090]	Time 0.734 (0.774)	Data 0.001 (0.006)	Loss 2.7317 (2.7439)	Prec@1 35.938 (34.526)	Prec@5 70.312 (64.784)
Epoch: [22][760/14090]	Time 0.739 (0.774)	Data 0.001 (0.006)	Loss 2.8254 (2.7451)	Prec@1 33.594 (34.515)	Prec@5 62.500 (64.759)
Epoch: [22][770/14090]	Time 0.748 (0.774)	Data 0.001 (0.006)	Loss 2.9905 (2.7456)	Prec@1 32.812 (34.501)	Prec@5 64.062 (64.754)
Epoch: [22][780/14090]	Time 0.742 (0.773)	Data 0.001 (0.006)	Loss 2.6901 (2.7457)	Prec@1 32.031 (34.504)	Prec@5 66.406 (64.757)
Epoch: [22][790/14090]	Time 0.846 (0.773)	Data 0.001 (0.006)	Loss 2.7196 (2.7463)	Prec@1 33.594 (34.475)	Prec@5 61.719 (64.742)
Epoch: [22][800/14090]	Time 0.745 (0.773)	Data 0.001 (0.006)	Loss 2.6222 (2.7468)	Prec@1 35.938 (34.469)	Prec@5 67.188 (64.745)
Epoch: [22][810/14090]	Time 0.733 (0.773)	Data 0.001 (0.006)	Loss 2.6755 (2.7472)	Prec@1 29.688 (34.471)	Prec@5 64.062 (64.733)
Epoch: [22][820/14090]	Time 0.740 (0.773)	Data 0.001 (0.006)	Loss 2.8983 (2.7487)	Prec@1 31.250 (34.456)	Prec@5 63.281 (64.701)
Epoch: [22][830/14090]	Time 0.744 (0.773)	Data 0.001 (0.006)	Loss 2.9551 (2.7480)	Prec@1 30.469 (34.486)	Prec@5 59.375 (64.722)
Epoch: [22][840/14090]	Time 0.751 (0.773)	Data 0.001 (0.006)	Loss 2.6815 (2.7483)	Prec@1 29.688 (34.476)	Prec@5 68.750 (64.715)
Epoch: [22][850/14090]	Time 0.726 (0.773)	Data 0.001 (0.006)	Loss 2.6890 (2.7483)	Prec@1 38.281 (34.477)	Prec@5 71.094 (64.723)
Epoch: [22][860/14090]	Time 0.885 (0.773)	Data 0.001 (0.006)	Loss 2.8807 (2.7487)	Prec@1 34.375 (34.448)	Prec@5 63.281 (64.719)
Epoch: [22][870/14090]	Time 0.743 (0.773)	Data 0.001 (0.006)	Loss 2.7820 (2.7493)	Prec@1 28.906 (34.424)	Prec@5 67.188 (64.715)
Epoch: [22][880/14090]	Time 0.744 (0.773)	Data 0.001 (0.006)	Loss 2.7814 (2.7493)	Prec@1 32.812 (34.413)	Prec@5 62.500 (64.715)
Epoch: [22][890/14090]	Time 0.753 (0.773)	Data 0.001 (0.005)	Loss 2.3952 (2.7487)	Prec@1 42.969 (34.410)	Prec@5 76.562 (64.740)
Epoch: [22][900/14090]	Time 0.740 (0.772)	Data 0.001 (0.005)	Loss 2.5643 (2.7484)	Prec@1 30.469 (34.411)	Prec@5 74.219 (64.751)
Epoch: [22][910/14090]	Time 0.738 (0.772)	Data 0.001 (0.005)	Loss 2.7310 (2.7482)	Prec@1 34.375 (34.413)	Prec@5 66.406 (64.756)
Epoch: [22][920/14090]	Time 0.730 (0.772)	Data 0.001 (0.005)	Loss 2.7417 (2.7483)	Prec@1 32.031 (34.410)	Prec@5 61.719 (64.745)
Epoch: [22][930/14090]	Time 0.853 (0.772)	Data 0.001 (0.005)	Loss 2.6709 (2.7487)	Prec@1 40.625 (34.402)	Prec@5 62.500 (64.739)
Epoch: [22][940/14090]	Time 0.735 (0.772)	Data 0.001 (0.005)	Loss 2.7275 (2.7492)	Prec@1 30.469 (34.401)	Prec@5 69.531 (64.732)
Epoch: [22][950/14090]	Time 0.735 (0.772)	Data 0.001 (0.005)	Loss 2.7761 (2.7487)	Prec@1 32.812 (34.410)	Prec@5 60.938 (64.748)
Epoch: [22][960/14090]	Time 0.747 (0.772)	Data 0.001 (0.005)	Loss 2.5909 (2.7494)	Prec@1 38.281 (34.395)	Prec@5 71.094 (64.741)
Epoch: [22][970/14090]	Time 0.750 (0.772)	Data 0.001 (0.005)	Loss 2.9394 (2.7489)	Prec@1 33.594 (34.410)	Prec@5 64.844 (64.758)
Epoch: [22][980/14090]	Time 0.738 (0.772)	Data 0.001 (0.005)	Loss 2.7844 (2.7494)	Prec@1 35.938 (34.397)	Prec@5 62.500 (64.748)
Epoch: [22][990/14090]	Time 0.760 (0.772)	Data 0.001 (0.005)	Loss 2.6661 (2.7498)	Prec@1 30.469 (34.382)	Prec@5 63.281 (64.729)
Epoch: [22][1000/14090]	Time 0.883 (0.772)	Data 0.001 (0.005)	Loss 2.9402 (2.7490)	Prec@1 28.906 (34.391)	Prec@5 60.156 (64.737)
Epoch: [22][1010/14090]	Time 0.764 (0.772)	Data 0.001 (0.005)	Loss 2.7174 (2.7485)	Prec@1 31.250 (34.388)	Prec@5 67.188 (64.746)
Epoch: [22][1020/14090]	Time 0.729 (0.772)	Data 0.001 (0.005)	Loss 2.6678 (2.7477)	Prec@1 34.375 (34.399)	Prec@5 64.844 (64.761)
Epoch: [22][1030/14090]	Time 0.779 (0.772)	Data 0.001 (0.005)	Loss 3.0606 (2.7478)	Prec@1 28.125 (34.401)	Prec@5 59.375 (64.765)
Epoch: [22][1040/14090]	Time 0.759 (0.771)	Data 0.001 (0.005)	Loss 2.7447 (2.7475)	Prec@1 30.469 (34.390)	Prec@5 64.062 (64.778)
Epoch: [22][1050/14090]	Time 0.748 (0.772)	Data 0.001 (0.005)	Loss 2.6797 (2.7475)	Prec@1 32.812 (34.388)	Prec@5 67.188 (64.789)
Epoch: [22][1060/14090]	Time 0.726 (0.771)	Data 0.001 (0.005)	Loss 2.5988 (2.7475)	Prec@1 31.250 (34.377)	Prec@5 69.531 (64.785)
Epoch: [22][1070/14090]	Time 0.895 (0.771)	Data 0.001 (0.005)	Loss 2.8088 (2.7481)	Prec@1 39.062 (34.361)	Prec@5 59.375 (64.766)
Epoch: [22][1080/14090]	Time 0.751 (0.771)	Data 0.001 (0.005)	Loss 2.7862 (2.7489)	Prec@1 32.031 (34.324)	Prec@5 62.500 (64.754)
Epoch: [22][1090/14090]	Time 0.730 (0.771)	Data 0.001 (0.005)	Loss 2.8476 (2.7493)	Prec@1 32.031 (34.307)	Prec@5 62.500 (64.753)
Epoch: [22][1100/14090]	Time 0.743 (0.771)	Data 0.001 (0.005)	Loss 2.8044 (2.7483)	Prec@1 30.469 (34.320)	Prec@5 64.844 (64.777)
Epoch: [22][1110/14090]	Time 0.751 (0.771)	Data 0.001 (0.005)	Loss 2.8605 (2.7483)	Prec@1 30.469 (34.303)	Prec@5 67.188 (64.781)
Epoch: [22][1120/14090]	Time 0.762 (0.771)	Data 0.001 (0.004)	Loss 2.8811 (2.7483)	Prec@1 35.156 (34.323)	Prec@5 59.375 (64.792)
Epoch: [22][1130/14090]	Time 0.750 (0.771)	Data 0.001 (0.004)	Loss 2.5157 (2.7478)	Prec@1 39.062 (34.346)	Prec@5 70.312 (64.793)
Epoch: [22][1140/14090]	Time 0.862 (0.771)	Data 0.001 (0.004)	Loss 2.4879 (2.7479)	Prec@1 36.719 (34.363)	Prec@5 67.188 (64.783)
Epoch: [22][1150/14090]	Time 0.739 (0.771)	Data 0.001 (0.004)	Loss 2.5940 (2.7471)	Prec@1 40.625 (34.378)	Prec@5 65.625 (64.797)
Epoch: [22][1160/14090]	Time 0.734 (0.771)	Data 0.001 (0.004)	Loss 2.6983 (2.7469)	Prec@1 30.469 (34.385)	Prec@5 67.969 (64.799)
Epoch: [22][1170/14090]	Time 0.724 (0.771)	Data 0.001 (0.004)	Loss 2.8606 (2.7467)	Prec@1 35.938 (34.394)	Prec@5 61.719 (64.807)
Epoch: [22][1180/14090]	Time 0.757 (0.771)	Data 0.001 (0.004)	Loss 2.8713 (2.7471)	Prec@1 32.031 (34.379)	Prec@5 64.844 (64.811)
Epoch: [22][1190/14090]	Time 0.735 (0.771)	Data 0.001 (0.004)	Loss 3.1217 (2.7484)	Prec@1 34.375 (34.359)	Prec@5 56.250 (64.781)
Epoch: [22][1200/14090]	Time 0.754 (0.771)	Data 0.001 (0.004)	Loss 2.6691 (2.7485)	Prec@1 33.594 (34.363)	Prec@5 66.406 (64.781)
Epoch: [22][1210/14090]	Time 0.912 (0.771)	Data 0.001 (0.004)	Loss 2.8153 (2.7493)	Prec@1 32.812 (34.348)	Prec@5 62.500 (64.761)
Epoch: [22][1220/14090]	Time 0.743 (0.771)	Data 0.001 (0.004)	Loss 2.9515 (2.7502)	Prec@1 32.031 (34.328)	Prec@5 57.031 (64.731)
Epoch: [22][1230/14090]	Time 0.782 (0.771)	Data 0.001 (0.004)	Loss 2.6692 (2.7493)	Prec@1 34.375 (34.353)	Prec@5 69.531 (64.745)
Epoch: [22][1240/14090]	Time 0.747 (0.771)	Data 0.001 (0.004)	Loss 2.4576 (2.7493)	Prec@1 40.625 (34.345)	Prec@5 70.312 (64.743)
Epoch: [22][1250/14090]	Time 0.728 (0.770)	Data 0.001 (0.004)	Loss 2.7516 (2.7487)	Prec@1 35.938 (34.347)	Prec@5 63.281 (64.764)
Epoch: [22][1260/14090]	Time 0.741 (0.770)	Data 0.001 (0.004)	Loss 2.7790 (2.7483)	Prec@1 34.375 (34.356)	Prec@5 67.969 (64.784)
Epoch: [22][1270/14090]	Time 0.742 (0.770)	Data 0.001 (0.004)	Loss 2.4826 (2.7477)	Prec@1 35.938 (34.364)	Prec@5 68.750 (64.789)
Epoch: [22][1280/14090]	Time 0.858 (0.770)	Data 0.001 (0.004)	Loss 2.8762 (2.7474)	Prec@1 32.031 (34.381)	Prec@5 59.375 (64.789)
Epoch: [22][1290/14090]	Time 0.741 (0.770)	Data 0.001 (0.004)	Loss 2.8367 (2.7478)	Prec@1 39.062 (34.372)	Prec@5 64.062 (64.777)
Epoch: [22][1300/14090]	Time 0.755 (0.770)	Data 0.001 (0.004)	Loss 2.9542 (2.7478)	Prec@1 29.688 (34.371)	Prec@5 56.250 (64.773)
Epoch: [22][1310/14090]	Time 0.733 (0.770)	Data 0.001 (0.004)	Loss 3.1010 (2.7485)	Prec@1 28.125 (34.351)	Prec@5 56.250 (64.756)
Epoch: [22][1320/14090]	Time 0.751 (0.770)	Data 0.001 (0.004)	Loss 2.6360 (2.7482)	Prec@1 35.938 (34.363)	Prec@5 69.531 (64.767)
Epoch: [22][1330/14090]	Time 0.737 (0.770)	Data 0.001 (0.004)	Loss 2.6826 (2.7476)	Prec@1 34.375 (34.358)	Prec@5 62.500 (64.765)
Epoch: [22][1340/14090]	Time 0.740 (0.770)	Data 0.001 (0.004)	Loss 2.9717 (2.7477)	Prec@1 25.781 (34.342)	Prec@5 60.938 (64.767)
Epoch: [22][1350/14090]	Time 0.851 (0.770)	Data 0.001 (0.004)	Loss 2.9555 (2.7474)	Prec@1 31.250 (34.352)	Prec@5 57.031 (64.770)
Epoch: [22][1360/14090]	Time 0.760 (0.770)	Data 0.001 (0.004)	Loss 2.8166 (2.7484)	Prec@1 34.375 (34.335)	Prec@5 60.938 (64.747)
Epoch: [22][1370/14090]	Time 0.733 (0.770)	Data 0.001 (0.004)	Loss 3.1146 (2.7492)	Prec@1 25.781 (34.328)	Prec@5 54.688 (64.731)
Epoch: [22][1380/14090]	Time 0.744 (0.770)	Data 0.001 (0.004)	Loss 2.8913 (2.7494)	Prec@1 28.125 (34.322)	Prec@5 59.375 (64.713)
Epoch: [22][1390/14090]	Time 0.769 (0.770)	Data 0.001 (0.004)	Loss 2.7317 (2.7496)	Prec@1 37.500 (34.322)	Prec@5 60.156 (64.710)
Epoch: [22][1400/14090]	Time 0.748 (0.770)	Data 0.001 (0.004)	Loss 2.8362 (2.7497)	Prec@1 28.125 (34.317)	Prec@5 64.062 (64.707)
Epoch: [22][1410/14090]	Time 0.756 (0.770)	Data 0.001 (0.004)	Loss 2.6719 (2.7492)	Prec@1 34.375 (34.331)	Prec@5 64.844 (64.720)
Epoch: [22][1420/14090]	Time 0.867 (0.770)	Data 0.001 (0.004)	Loss 2.9544 (2.7488)	Prec@1 26.562 (34.338)	Prec@5 64.062 (64.723)
Epoch: [22][1430/14090]	Time 0.741 (0.770)	Data 0.001 (0.004)	Loss 2.7820 (2.7486)	Prec@1 36.719 (34.343)	Prec@5 62.500 (64.709)
Epoch: [22][1440/14090]	Time 0.724 (0.770)	Data 0.001 (0.004)	Loss 2.6375 (2.7482)	Prec@1 36.719 (34.344)	Prec@5 68.750 (64.722)
Epoch: [22][1450/14090]	Time 0.772 (0.770)	Data 0.001 (0.004)	Loss 3.2408 (2.7490)	Prec@1 24.219 (34.343)	Prec@5 54.688 (64.716)
Epoch: [22][1460/14090]	Time 0.757 (0.770)	Data 0.001 (0.004)	Loss 2.8266 (2.7491)	Prec@1 34.375 (34.345)	Prec@5 62.500 (64.710)
Epoch: [22][1470/14090]	Time 0.747 (0.770)	Data 0.001 (0.004)	Loss 3.0374 (2.7486)	Prec@1 17.969 (34.342)	Prec@5 66.406 (64.730)
Epoch: [22][1480/14090]	Time 0.738 (0.769)	Data 0.001 (0.004)	Loss 2.8557 (2.7485)	Prec@1 35.156 (34.350)	Prec@5 61.719 (64.727)
Epoch: [22][1490/14090]	Time 0.870 (0.770)	Data 0.001 (0.004)	Loss 3.0157 (2.7483)	Prec@1 32.031 (34.351)	Prec@5 55.469 (64.724)
Epoch: [22][1500/14090]	Time 0.756 (0.769)	Data 0.001 (0.004)	Loss 2.6775 (2.7485)	Prec@1 33.594 (34.349)	Prec@5 59.375 (64.715)
Epoch: [22][1510/14090]	Time 0.725 (0.769)	Data 0.001 (0.004)	Loss 2.8363 (2.7485)	Prec@1 33.594 (34.349)	Prec@5 64.844 (64.728)
Epoch: [22][1520/14090]	Time 0.747 (0.769)	Data 0.001 (0.004)	Loss 2.7648 (2.7490)	Prec@1 35.156 (34.347)	Prec@5 66.406 (64.724)
Epoch: [22][1530/14090]	Time 0.738 (0.769)	Data 0.001 (0.003)	Loss 2.9791 (2.7489)	Prec@1 25.781 (34.345)	Prec@5 54.688 (64.714)
Epoch: [22][1540/14090]	Time 0.735 (0.769)	Data 0.001 (0.003)	Loss 2.6985 (2.7491)	Prec@1 31.250 (34.333)	Prec@5 63.281 (64.702)
Epoch: [22][1550/14090]	Time 0.742 (0.769)	Data 0.001 (0.003)	Loss 2.7508 (2.7490)	Prec@1 37.500 (34.336)	Prec@5 62.500 (64.698)
Epoch: [22][1560/14090]	Time 0.852 (0.769)	Data 0.001 (0.003)	Loss 2.8568 (2.7493)	Prec@1 38.281 (34.342)	Prec@5 63.281 (64.691)
Epoch: [22][1570/14090]	Time 0.757 (0.769)	Data 0.001 (0.003)	Loss 2.7887 (2.7498)	Prec@1 32.031 (34.331)	Prec@5 63.281 (64.682)
Epoch: [22][1580/14090]	Time 0.765 (0.769)	Data 0.001 (0.003)	Loss 2.5552 (2.7497)	Prec@1 35.156 (34.329)	Prec@5 72.656 (64.685)
Epoch: [22][1590/14090]	Time 0.782 (0.769)	Data 0.001 (0.003)	Loss 2.3548 (2.7498)	Prec@1 38.281 (34.324)	Prec@5 67.188 (64.684)
Epoch: [22][1600/14090]	Time 0.726 (0.769)	Data 0.001 (0.003)	Loss 2.7048 (2.7491)	Prec@1 36.719 (34.330)	Prec@5 67.969 (64.702)
Epoch: [22][1610/14090]	Time 0.756 (0.769)	Data 0.001 (0.003)	Loss 2.7595 (2.7486)	Prec@1 32.812 (34.338)	Prec@5 67.188 (64.711)
Epoch: [22][1620/14090]	Time 0.764 (0.769)	Data 0.001 (0.003)	Loss 2.8292 (2.7487)	Prec@1 32.812 (34.332)	Prec@5 63.281 (64.716)
Epoch: [22][1630/14090]	Time 0.844 (0.769)	Data 0.001 (0.003)	Loss 2.6565 (2.7484)	Prec@1 38.281 (34.338)	Prec@5 64.844 (64.719)
Epoch: [22][1640/14090]	Time 0.743 (0.769)	Data 0.001 (0.003)	Loss 2.8734 (2.7482)	Prec@1 28.906 (34.336)	Prec@5 60.156 (64.724)
Epoch: [22][1650/14090]	Time 0.750 (0.769)	Data 0.001 (0.003)	Loss 2.7701 (2.7485)	Prec@1 32.812 (34.334)	Prec@5 67.188 (64.719)
Epoch: [22][1660/14090]	Time 0.755 (0.769)	Data 0.001 (0.003)	Loss 2.6907 (2.7488)	Prec@1 35.156 (34.326)	Prec@5 65.625 (64.721)
Epoch: [22][1670/14090]	Time 0.758 (0.769)	Data 0.001 (0.003)	Loss 2.5890 (2.7483)	Prec@1 30.469 (34.333)	Prec@5 69.531 (64.729)
Epoch: [22][1680/14090]	Time 0.756 (0.769)	Data 0.001 (0.003)	Loss 2.7552 (2.7486)	Prec@1 35.156 (34.341)	Prec@5 67.969 (64.730)
Epoch: [22][1690/14090]	Time 0.743 (0.769)	Data 0.001 (0.003)	Loss 2.7227 (2.7491)	Prec@1 35.938 (34.322)	Prec@5 60.156 (64.718)
Epoch: [22][1700/14090]	Time 0.851 (0.769)	Data 0.001 (0.003)	Loss 2.1834 (2.7489)	Prec@1 46.094 (34.324)	Prec@5 74.219 (64.719)
Epoch: [22][1710/14090]	Time 0.749 (0.769)	Data 0.001 (0.003)	Loss 2.8507 (2.7490)	Prec@1 34.375 (34.322)	Prec@5 60.938 (64.717)
Epoch: [22][1720/14090]	Time 0.774 (0.769)	Data 0.001 (0.003)	Loss 2.7608 (2.7486)	Prec@1 38.281 (34.322)	Prec@5 65.625 (64.729)
Epoch: [22][1730/14090]	Time 0.749 (0.769)	Data 0.001 (0.003)	Loss 2.9898 (2.7486)	Prec@1 26.562 (34.316)	Prec@5 63.281 (64.729)
Epoch: [22][1740/14090]	Time 0.738 (0.769)	Data 0.001 (0.003)	Loss 2.7611 (2.7494)	Prec@1 35.938 (34.309)	Prec@5 65.625 (64.713)
Epoch: [22][1750/14090]	Time 0.754 (0.769)	Data 0.001 (0.003)	Loss 2.6043 (2.7490)	Prec@1 32.812 (34.303)	Prec@5 68.750 (64.723)
Epoch: [22][1760/14090]	Time 0.760 (0.769)	Data 0.001 (0.003)	Loss 2.9785 (2.7485)	Prec@1 30.469 (34.312)	Prec@5 60.156 (64.738)
Epoch: [22][1770/14090]	Time 0.871 (0.769)	Data 0.001 (0.003)	Loss 2.5084 (2.7488)	Prec@1 35.938 (34.307)	Prec@5 70.312 (64.733)
Epoch: [22][1780/14090]	Time 0.732 (0.769)	Data 0.001 (0.003)	Loss 2.7506 (2.7489)	Prec@1 29.688 (34.290)	Prec@5 67.188 (64.725)
Epoch: [22][1790/14090]	Time 0.730 (0.769)	Data 0.001 (0.003)	Loss 2.7739 (2.7498)	Prec@1 32.031 (34.277)	Prec@5 68.750 (64.712)
Epoch: [22][1800/14090]	Time 0.757 (0.769)	Data 0.001 (0.003)	Loss 2.8775 (2.7492)	Prec@1 31.250 (34.292)	Prec@5 64.844 (64.730)
Epoch: [22][1810/14090]	Time 0.738 (0.769)	Data 0.001 (0.003)	Loss 3.0520 (2.7495)	Prec@1 29.688 (34.291)	Prec@5 59.375 (64.729)
Epoch: [22][1820/14090]	Time 0.739 (0.769)	Data 0.001 (0.003)	Loss 2.6609 (2.7494)	Prec@1 39.844 (34.305)	Prec@5 64.062 (64.734)
Epoch: [22][1830/14090]	Time 0.732 (0.769)	Data 0.001 (0.003)	Loss 2.5664 (2.7490)	Prec@1 38.281 (34.313)	Prec@5 71.094 (64.744)
Epoch: [22][1840/14090]	Time 0.890 (0.769)	Data 0.001 (0.003)	Loss 2.8009 (2.7489)	Prec@1 32.812 (34.312)	Prec@5 58.594 (64.746)
Epoch: [22][1850/14090]	Time 0.750 (0.769)	Data 0.001 (0.003)	Loss 2.7340 (2.7487)	Prec@1 31.250 (34.313)	Prec@5 67.188 (64.752)
Epoch: [22][1860/14090]	Time 0.785 (0.769)	Data 0.001 (0.003)	Loss 2.8712 (2.7487)	Prec@1 32.812 (34.317)	Prec@5 57.031 (64.745)
Epoch: [22][1870/14090]	Time 0.752 (0.769)	Data 0.001 (0.003)	Loss 2.9963 (2.7491)	Prec@1 34.375 (34.312)	Prec@5 62.500 (64.739)
Epoch: [22][1880/14090]	Time 0.753 (0.769)	Data 0.001 (0.003)	Loss 2.9815 (2.7491)	Prec@1 22.656 (34.315)	Prec@5 61.719 (64.745)
Epoch: [22][1890/14090]	Time 0.764 (0.769)	Data 0.001 (0.003)	Loss 2.7564 (2.7486)	Prec@1 32.031 (34.323)	Prec@5 70.312 (64.759)
Epoch: [22][1900/14090]	Time 0.764 (0.769)	Data 0.001 (0.003)	Loss 2.6601 (2.7485)	Prec@1 35.156 (34.329)	Prec@5 62.500 (64.762)
Epoch: [22][1910/14090]	Time 0.817 (0.769)	Data 0.001 (0.003)	Loss 2.6286 (2.7485)	Prec@1 36.719 (34.344)	Prec@5 67.188 (64.765)
Epoch: [22][1920/14090]	Time 0.766 (0.769)	Data 0.001 (0.003)	Loss 2.7497 (2.7485)	Prec@1 37.500 (34.340)	Prec@5 67.969 (64.767)
Epoch: [22][1930/14090]	Time 0.756 (0.769)	Data 0.001 (0.003)	Loss 2.9004 (2.7487)	Prec@1 30.469 (34.333)	Prec@5 58.594 (64.759)
Epoch: [22][1940/14090]	Time 0.776 (0.769)	Data 0.001 (0.003)	Loss 2.7611 (2.7491)	Prec@1 34.375 (34.328)	Prec@5 62.500 (64.756)
Epoch: [22][1950/14090]	Time 0.737 (0.769)	Data 0.001 (0.003)	Loss 2.7347 (2.7489)	Prec@1 35.938 (34.329)	Prec@5 63.281 (64.762)
Epoch: [22][1960/14090]	Time 0.756 (0.769)	Data 0.001 (0.003)	Loss 2.6457 (2.7488)	Prec@1 35.938 (34.332)	Prec@5 64.844 (64.765)
Epoch: [22][1970/14090]	Time 0.749 (0.769)	Data 0.001 (0.003)	Loss 3.0651 (2.7488)	Prec@1 25.781 (34.340)	Prec@5 57.812 (64.766)
Epoch: [22][1980/14090]	Time 0.830 (0.768)	Data 0.001 (0.003)	Loss 3.0136 (2.7486)	Prec@1 28.906 (34.348)	Prec@5 56.250 (64.770)
Epoch: [22][1990/14090]	Time 0.756 (0.768)	Data 0.001 (0.003)	Loss 2.8043 (2.7487)	Prec@1 32.031 (34.353)	Prec@5 64.062 (64.767)
Epoch: [22][2000/14090]	Time 0.749 (0.768)	Data 0.001 (0.003)	Loss 2.8392 (2.7491)	Prec@1 32.031 (34.350)	Prec@5 69.531 (64.761)
Epoch: [22][2010/14090]	Time 0.780 (0.768)	Data 0.001 (0.003)	Loss 2.9610 (2.7493)	Prec@1 33.594 (34.350)	Prec@5 63.281 (64.765)
Epoch: [22][2020/14090]	Time 0.765 (0.768)	Data 0.001 (0.003)	Loss 2.7337 (2.7493)	Prec@1 35.156 (34.351)	Prec@5 63.281 (64.760)
Epoch: [22][2030/14090]	Time 0.761 (0.768)	Data 0.001 (0.003)	Loss 2.7435 (2.7490)	Prec@1 33.594 (34.356)	Prec@5 64.844 (64.767)
Epoch: [22][2040/14090]	Time 0.751 (0.768)	Data 0.001 (0.003)	Loss 2.8883 (2.7488)	Prec@1 32.812 (34.364)	Prec@5 64.062 (64.774)
Epoch: [22][2050/14090]	Time 0.859 (0.768)	Data 0.001 (0.003)	Loss 2.3869 (2.7485)	Prec@1 33.594 (34.365)	Prec@5 71.875 (64.781)
Epoch: [22][2060/14090]	Time 0.748 (0.768)	Data 0.001 (0.003)	Loss 2.7411 (2.7482)	Prec@1 32.812 (34.378)	Prec@5 62.500 (64.785)
Epoch: [22][2070/14090]	Time 0.782 (0.768)	Data 0.001 (0.003)	Loss 3.0669 (2.7485)	Prec@1 31.250 (34.380)	Prec@5 57.812 (64.779)
Epoch: [22][2080/14090]	Time 0.756 (0.768)	Data 0.001 (0.003)	Loss 2.5066 (2.7488)	Prec@1 35.938 (34.380)	Prec@5 64.062 (64.772)
Epoch: [22][2090/14090]	Time 0.729 (0.768)	Data 0.001 (0.003)	Loss 2.8542 (2.7493)	Prec@1 36.719 (34.378)	Prec@5 60.938 (64.756)
Epoch: [22][2100/14090]	Time 0.736 (0.768)	Data 0.001 (0.003)	Loss 2.5404 (2.7488)	Prec@1 35.938 (34.391)	Prec@5 71.875 (64.765)
Epoch: [22][2110/14090]	Time 0.778 (0.768)	Data 0.001 (0.003)	Loss 2.9108 (2.7483)	Prec@1 38.281 (34.407)	Prec@5 65.625 (64.773)
Epoch: [22][2120/14090]	Time 0.869 (0.768)	Data 0.001 (0.003)	Loss 2.7928 (2.7481)	Prec@1 32.812 (34.409)	Prec@5 63.281 (64.777)
Epoch: [22][2130/14090]	Time 0.770 (0.768)	Data 0.001 (0.003)	Loss 3.0462 (2.7489)	Prec@1 24.219 (34.400)	Prec@5 61.719 (64.762)
Epoch: [22][2140/14090]	Time 0.732 (0.768)	Data 0.001 (0.003)	Loss 2.5917 (2.7487)	Prec@1 41.406 (34.402)	Prec@5 67.969 (64.766)
Epoch: [22][2150/14090]	Time 0.754 (0.768)	Data 0.001 (0.003)	Loss 2.6954 (2.7493)	Prec@1 35.938 (34.387)	Prec@5 67.188 (64.753)
Epoch: [22][2160/14090]	Time 0.728 (0.768)	Data 0.001 (0.003)	Loss 2.9566 (2.7496)	Prec@1 30.469 (34.388)	Prec@5 61.719 (64.746)
Epoch: [22][2170/14090]	Time 0.756 (0.768)	Data 0.001 (0.003)	Loss 2.8070 (2.7501)	Prec@1 34.375 (34.384)	Prec@5 61.719 (64.736)
Epoch: [22][2180/14090]	Time 0.728 (0.768)	Data 0.001 (0.003)	Loss 2.3516 (2.7498)	Prec@1 44.531 (34.389)	Prec@5 71.875 (64.742)
Epoch: [22][2190/14090]	Time 0.832 (0.768)	Data 0.001 (0.003)	Loss 2.5678 (2.7495)	Prec@1 38.281 (34.395)	Prec@5 68.750 (64.747)
Epoch: [22][2200/14090]	Time 0.727 (0.768)	Data 0.001 (0.003)	Loss 2.9145 (2.7494)	Prec@1 25.781 (34.398)	Prec@5 60.156 (64.748)
Epoch: [22][2210/14090]	Time 0.761 (0.768)	Data 0.001 (0.003)	Loss 3.0650 (2.7496)	Prec@1 32.812 (34.398)	Prec@5 56.250 (64.737)
Epoch: [22][2220/14090]	Time 0.757 (0.768)	Data 0.001 (0.003)	Loss 2.6892 (2.7496)	Prec@1 39.062 (34.406)	Prec@5 65.625 (64.738)
Epoch: [22][2230/14090]	Time 0.780 (0.768)	Data 0.001 (0.003)	Loss 3.0816 (2.7503)	Prec@1 31.250 (34.395)	Prec@5 56.250 (64.730)
Epoch: [22][2240/14090]	Time 0.758 (0.768)	Data 0.001 (0.003)	Loss 2.7608 (2.7507)	Prec@1 38.281 (34.392)	Prec@5 64.062 (64.723)
Epoch: [22][2250/14090]	Time 0.766 (0.768)	Data 0.001 (0.003)	Loss 2.6694 (2.7504)	Prec@1 34.375 (34.395)	Prec@5 68.750 (64.730)
Epoch: [22][2260/14090]	Time 0.871 (0.768)	Data 0.001 (0.003)	Loss 2.6893 (2.7503)	Prec@1 32.031 (34.390)	Prec@5 67.188 (64.728)
Epoch: [22][2270/14090]	Time 0.748 (0.768)	Data 0.001 (0.003)	Loss 2.9173 (2.7506)	Prec@1 30.469 (34.381)	Prec@5 55.469 (64.717)
Epoch: [22][2280/14090]	Time 0.757 (0.768)	Data 0.001 (0.003)	Loss 2.8264 (2.7504)	Prec@1 28.906 (34.379)	Prec@5 60.156 (64.718)
Epoch: [22][2290/14090]	Time 0.755 (0.768)	Data 0.001 (0.003)	Loss 2.4057 (2.7504)	Prec@1 39.844 (34.378)	Prec@5 75.000 (64.718)
Epoch: [22][2300/14090]	Time 0.766 (0.768)	Data 0.001 (0.003)	Loss 2.5944 (2.7503)	Prec@1 38.281 (34.375)	Prec@5 70.312 (64.718)
Epoch: [22][2310/14090]	Time 0.732 (0.768)	Data 0.001 (0.003)	Loss 3.0201 (2.7499)	Prec@1 36.719 (34.386)	Prec@5 57.812 (64.732)
Epoch: [22][2320/14090]	Time 0.724 (0.768)	Data 0.001 (0.003)	Loss 2.7993 (2.7497)	Prec@1 36.719 (34.397)	Prec@5 60.938 (64.733)
Epoch: [22][2330/14090]	Time 0.850 (0.768)	Data 0.001 (0.003)	Loss 3.2514 (2.7499)	Prec@1 26.562 (34.398)	Prec@5 53.906 (64.726)
Epoch: [22][2340/14090]	Time 0.757 (0.768)	Data 0.001 (0.003)	Loss 2.8047 (2.7499)	Prec@1 32.812 (34.394)	Prec@5 66.406 (64.732)
Epoch: [22][2350/14090]	Time 0.748 (0.768)	Data 0.001 (0.003)	Loss 2.7460 (2.7497)	Prec@1 35.156 (34.396)	Prec@5 66.406 (64.733)
Epoch: [22][2360/14090]	Time 0.732 (0.768)	Data 0.001 (0.003)	Loss 2.8501 (2.7502)	Prec@1 35.938 (34.391)	Prec@5 67.188 (64.729)
Epoch: [22][2370/14090]	Time 0.790 (0.768)	Data 0.001 (0.003)	Loss 2.7584 (2.7500)	Prec@1 32.812 (34.402)	Prec@5 65.625 (64.729)
Epoch: [22][2380/14090]	Time 0.753 (0.768)	Data 0.001 (0.003)	Loss 2.5102 (2.7498)	Prec@1 43.750 (34.413)	Prec@5 67.969 (64.737)
Epoch: [22][2390/14090]	Time 0.784 (0.768)	Data 0.001 (0.003)	Loss 2.6681 (2.7499)	Prec@1 32.031 (34.412)	Prec@5 67.188 (64.738)
Epoch: [22][2400/14090]	Time 0.858 (0.768)	Data 0.001 (0.002)	Loss 3.0834 (2.7500)	Prec@1 27.344 (34.406)	Prec@5 54.688 (64.737)
Epoch: [22][2410/14090]	Time 0.768 (0.768)	Data 0.001 (0.002)	Loss 2.8609 (2.7500)	Prec@1 32.031 (34.406)	Prec@5 59.375 (64.735)
Epoch: [22][2420/14090]	Time 0.730 (0.768)	Data 0.001 (0.002)	Loss 2.4732 (2.7500)	Prec@1 40.625 (34.414)	Prec@5 71.094 (64.734)
Epoch: [22][2430/14090]	Time 0.760 (0.768)	Data 0.001 (0.002)	Loss 2.6110 (2.7497)	Prec@1 33.594 (34.413)	Prec@5 65.625 (64.745)
Epoch: [22][2440/14090]	Time 0.749 (0.768)	Data 0.001 (0.002)	Loss 2.6558 (2.7494)	Prec@1 36.719 (34.417)	Prec@5 65.625 (64.750)
Epoch: [22][2450/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 2.9704 (2.7495)	Prec@1 25.000 (34.409)	Prec@5 63.281 (64.750)
Epoch: [22][2460/14090]	Time 0.766 (0.768)	Data 0.001 (0.002)	Loss 2.6312 (2.7492)	Prec@1 38.281 (34.412)	Prec@5 65.625 (64.748)
Epoch: [22][2470/14090]	Time 0.888 (0.768)	Data 0.001 (0.002)	Loss 3.0836 (2.7492)	Prec@1 25.781 (34.419)	Prec@5 57.031 (64.749)
Epoch: [22][2480/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 2.7287 (2.7490)	Prec@1 39.844 (34.418)	Prec@5 63.281 (64.750)
Epoch: [22][2490/14090]	Time 0.745 (0.768)	Data 0.001 (0.002)	Loss 2.6929 (2.7489)	Prec@1 35.938 (34.413)	Prec@5 71.094 (64.763)
Epoch: [22][2500/14090]	Time 0.776 (0.768)	Data 0.001 (0.002)	Loss 2.6329 (2.7486)	Prec@1 36.719 (34.419)	Prec@5 69.531 (64.768)
Epoch: [22][2510/14090]	Time 0.780 (0.768)	Data 0.001 (0.002)	Loss 2.6442 (2.7487)	Prec@1 30.469 (34.414)	Prec@5 65.625 (64.763)
Epoch: [22][2520/14090]	Time 0.752 (0.768)	Data 0.001 (0.002)	Loss 2.9188 (2.7487)	Prec@1 32.031 (34.414)	Prec@5 64.062 (64.768)
Epoch: [22][2530/14090]	Time 0.744 (0.768)	Data 0.001 (0.002)	Loss 2.6568 (2.7488)	Prec@1 41.406 (34.410)	Prec@5 65.625 (64.768)
Epoch: [22][2540/14090]	Time 0.863 (0.768)	Data 0.001 (0.002)	Loss 2.8648 (2.7491)	Prec@1 28.906 (34.407)	Prec@5 65.625 (64.762)
Epoch: [22][2550/14090]	Time 0.735 (0.768)	Data 0.001 (0.002)	Loss 2.6541 (2.7489)	Prec@1 35.938 (34.415)	Prec@5 68.750 (64.766)
Epoch: [22][2560/14090]	Time 0.739 (0.768)	Data 0.001 (0.002)	Loss 2.8113 (2.7489)	Prec@1 36.719 (34.420)	Prec@5 64.062 (64.767)
Epoch: [22][2570/14090]	Time 0.772 (0.768)	Data 0.001 (0.002)	Loss 2.7438 (2.7490)	Prec@1 33.594 (34.418)	Prec@5 65.625 (64.767)
Epoch: [22][2580/14090]	Time 0.754 (0.768)	Data 0.001 (0.002)	Loss 3.1299 (2.7490)	Prec@1 28.906 (34.422)	Prec@5 60.156 (64.770)
Epoch: [22][2590/14090]	Time 0.748 (0.768)	Data 0.001 (0.002)	Loss 3.0176 (2.7490)	Prec@1 25.781 (34.421)	Prec@5 62.500 (64.772)
Epoch: [22][2600/14090]	Time 0.735 (0.768)	Data 0.001 (0.002)	Loss 2.6912 (2.7489)	Prec@1 33.594 (34.426)	Prec@5 67.188 (64.773)
Epoch: [22][2610/14090]	Time 0.870 (0.768)	Data 0.001 (0.002)	Loss 2.6164 (2.7491)	Prec@1 38.281 (34.419)	Prec@5 68.750 (64.776)
Epoch: [22][2620/14090]	Time 0.752 (0.768)	Data 0.001 (0.002)	Loss 2.7640 (2.7490)	Prec@1 30.469 (34.415)	Prec@5 60.938 (64.782)
Epoch: [22][2630/14090]	Time 0.725 (0.768)	Data 0.001 (0.002)	Loss 3.1925 (2.7491)	Prec@1 29.688 (34.414)	Prec@5 58.594 (64.781)
Epoch: [22][2640/14090]	Time 0.762 (0.768)	Data 0.001 (0.002)	Loss 2.6030 (2.7493)	Prec@1 36.719 (34.410)	Prec@5 67.969 (64.776)
Epoch: [22][2650/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 2.8996 (2.7497)	Prec@1 35.938 (34.407)	Prec@5 63.281 (64.771)
Epoch: [22][2660/14090]	Time 0.759 (0.768)	Data 0.001 (0.002)	Loss 3.1140 (2.7496)	Prec@1 30.469 (34.406)	Prec@5 58.594 (64.772)
Epoch: [22][2670/14090]	Time 0.771 (0.768)	Data 0.001 (0.002)	Loss 2.5117 (2.7495)	Prec@1 38.281 (34.406)	Prec@5 62.500 (64.777)
Epoch: [22][2680/14090]	Time 0.864 (0.768)	Data 0.001 (0.002)	Loss 2.9685 (2.7491)	Prec@1 31.250 (34.415)	Prec@5 65.625 (64.788)
Epoch: [22][2690/14090]	Time 0.743 (0.768)	Data 0.001 (0.002)	Loss 2.9080 (2.7493)	Prec@1 35.938 (34.413)	Prec@5 58.594 (64.785)
Epoch: [22][2700/14090]	Time 0.733 (0.768)	Data 0.001 (0.002)	Loss 2.6036 (2.7491)	Prec@1 34.375 (34.417)	Prec@5 64.844 (64.789)
Epoch: [22][2710/14090]	Time 0.739 (0.768)	Data 0.001 (0.002)	Loss 2.9012 (2.7491)	Prec@1 30.469 (34.411)	Prec@5 61.719 (64.787)
Epoch: [22][2720/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 2.7459 (2.7491)	Prec@1 38.281 (34.408)	Prec@5 67.188 (64.789)
Epoch: [22][2730/14090]	Time 0.756 (0.768)	Data 0.001 (0.002)	Loss 2.4915 (2.7492)	Prec@1 46.875 (34.413)	Prec@5 66.406 (64.783)
Epoch: [22][2740/14090]	Time 0.777 (0.768)	Data 0.001 (0.002)	Loss 2.8515 (2.7493)	Prec@1 31.250 (34.411)	Prec@5 61.719 (64.778)
Epoch: [22][2750/14090]	Time 0.851 (0.768)	Data 0.001 (0.002)	Loss 2.4550 (2.7492)	Prec@1 35.156 (34.412)	Prec@5 67.969 (64.776)
Epoch: [22][2760/14090]	Time 0.744 (0.768)	Data 0.001 (0.002)	Loss 3.0021 (2.7491)	Prec@1 29.688 (34.414)	Prec@5 60.938 (64.778)
Epoch: [22][2770/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 2.5992 (2.7493)	Prec@1 39.844 (34.409)	Prec@5 64.844 (64.773)
Epoch: [22][2780/14090]	Time 0.769 (0.768)	Data 0.001 (0.002)	Loss 2.8795 (2.7498)	Prec@1 33.594 (34.398)	Prec@5 63.281 (64.767)
Epoch: [22][2790/14090]	Time 0.745 (0.768)	Data 0.001 (0.002)	Loss 2.6048 (2.7498)	Prec@1 36.719 (34.399)	Prec@5 70.312 (64.773)
Epoch: [22][2800/14090]	Time 0.759 (0.768)	Data 0.001 (0.002)	Loss 2.4635 (2.7501)	Prec@1 39.844 (34.399)	Prec@5 71.094 (64.766)
Epoch: [22][2810/14090]	Time 0.785 (0.768)	Data 0.001 (0.002)	Loss 2.6875 (2.7500)	Prec@1 32.812 (34.398)	Prec@5 70.312 (64.770)
Epoch: [22][2820/14090]	Time 0.836 (0.768)	Data 0.001 (0.002)	Loss 2.9710 (2.7500)	Prec@1 28.125 (34.397)	Prec@5 58.594 (64.767)
Epoch: [22][2830/14090]	Time 0.743 (0.768)	Data 0.001 (0.002)	Loss 2.5468 (2.7501)	Prec@1 37.500 (34.396)	Prec@5 66.406 (64.766)
Epoch: [22][2840/14090]	Time 0.754 (0.768)	Data 0.001 (0.002)	Loss 2.6191 (2.7498)	Prec@1 33.594 (34.395)	Prec@5 64.062 (64.772)
Epoch: [22][2850/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 3.0597 (2.7500)	Prec@1 27.344 (34.398)	Prec@5 61.719 (64.773)
Epoch: [22][2860/14090]	Time 0.744 (0.768)	Data 0.001 (0.002)	Loss 2.9483 (2.7503)	Prec@1 28.906 (34.392)	Prec@5 53.906 (64.759)
Epoch: [22][2870/14090]	Time 0.756 (0.768)	Data 0.001 (0.002)	Loss 2.5061 (2.7503)	Prec@1 42.969 (34.393)	Prec@5 72.656 (64.761)
Epoch: [22][2880/14090]	Time 0.757 (0.767)	Data 0.002 (0.002)	Loss 2.7378 (2.7501)	Prec@1 34.375 (34.398)	Prec@5 65.625 (64.762)
Epoch: [22][2890/14090]	Time 0.868 (0.767)	Data 0.001 (0.002)	Loss 2.5687 (2.7499)	Prec@1 38.281 (34.398)	Prec@5 65.625 (64.766)
Epoch: [22][2900/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 2.5993 (2.7499)	Prec@1 35.156 (34.401)	Prec@5 68.750 (64.769)
Epoch: [22][2910/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 2.7315 (2.7499)	Prec@1 34.375 (34.406)	Prec@5 64.062 (64.771)
Epoch: [22][2920/14090]	Time 0.760 (0.767)	Data 0.001 (0.002)	Loss 2.5316 (2.7499)	Prec@1 39.062 (34.412)	Prec@5 70.312 (64.770)
Epoch: [22][2930/14090]	Time 0.765 (0.767)	Data 0.001 (0.002)	Loss 2.8781 (2.7498)	Prec@1 28.906 (34.415)	Prec@5 57.812 (64.770)
Epoch: [22][2940/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 2.7176 (2.7499)	Prec@1 37.500 (34.411)	Prec@5 67.969 (64.766)
Epoch: [22][2950/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 2.5457 (2.7497)	Prec@1 32.812 (34.410)	Prec@5 67.969 (64.767)
Epoch: [22][2960/14090]	Time 0.842 (0.767)	Data 0.001 (0.002)	Loss 2.6358 (2.7497)	Prec@1 41.406 (34.404)	Prec@5 66.406 (64.770)
Epoch: [22][2970/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 2.5928 (2.7500)	Prec@1 41.406 (34.396)	Prec@5 67.188 (64.764)
Epoch: [22][2980/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 3.0288 (2.7501)	Prec@1 32.031 (34.388)	Prec@5 56.250 (64.763)
Epoch: [22][2990/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 2.9443 (2.7501)	Prec@1 26.562 (34.385)	Prec@5 57.031 (64.762)
Epoch: [22][3000/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 2.5560 (2.7501)	Prec@1 38.281 (34.383)	Prec@5 65.625 (64.759)
Epoch: [22][3010/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 2.5411 (2.7502)	Prec@1 35.938 (34.385)	Prec@5 72.656 (64.757)
Epoch: [22][3020/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 2.7965 (2.7499)	Prec@1 32.031 (34.391)	Prec@5 64.844 (64.767)
Epoch: [22][3030/14090]	Time 0.881 (0.767)	Data 0.001 (0.002)	Loss 2.4116 (2.7497)	Prec@1 36.719 (34.394)	Prec@5 71.875 (64.766)
Epoch: [22][3040/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 2.6591 (2.7497)	Prec@1 36.719 (34.393)	Prec@5 68.750 (64.768)
Epoch: [22][3050/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 2.6573 (2.7498)	Prec@1 35.938 (34.388)	Prec@5 57.812 (64.762)
Epoch: [22][3060/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.5374 (2.7500)	Prec@1 40.625 (34.384)	Prec@5 69.531 (64.756)
Epoch: [22][3070/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 2.5680 (2.7500)	Prec@1 44.531 (34.390)	Prec@5 68.750 (64.754)
Epoch: [22][3080/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 2.7549 (2.7500)	Prec@1 36.719 (34.385)	Prec@5 64.062 (64.753)
Epoch: [22][3090/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 2.8841 (2.7502)	Prec@1 34.375 (34.381)	Prec@5 59.375 (64.749)
Epoch: [22][3100/14090]	Time 0.840 (0.767)	Data 0.001 (0.002)	Loss 2.7074 (2.7502)	Prec@1 39.062 (34.387)	Prec@5 66.406 (64.748)
Epoch: [22][3110/14090]	Time 0.728 (0.767)	Data 0.001 (0.002)	Loss 2.6698 (2.7504)	Prec@1 34.375 (34.381)	Prec@5 64.844 (64.747)
Epoch: [22][3120/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 2.7356 (2.7505)	Prec@1 32.812 (34.382)	Prec@5 60.156 (64.741)
Epoch: [22][3130/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 2.7866 (2.7507)	Prec@1 36.719 (34.380)	Prec@5 69.531 (64.741)
Epoch: [22][3140/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 2.8284 (2.7507)	Prec@1 31.250 (34.377)	Prec@5 64.844 (64.737)
Epoch: [22][3150/14090]	Time 0.761 (0.767)	Data 0.001 (0.002)	Loss 2.6827 (2.7509)	Prec@1 34.375 (34.374)	Prec@5 60.938 (64.730)
Epoch: [22][3160/14090]	Time 0.760 (0.767)	Data 0.001 (0.002)	Loss 2.7802 (2.7511)	Prec@1 32.812 (34.368)	Prec@5 63.281 (64.724)
Epoch: [22][3170/14090]	Time 0.869 (0.767)	Data 0.001 (0.002)	Loss 2.4614 (2.7511)	Prec@1 38.281 (34.367)	Prec@5 71.094 (64.724)
Epoch: [22][3180/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 2.8664 (2.7511)	Prec@1 30.469 (34.368)	Prec@5 64.844 (64.723)
Epoch: [22][3190/14090]	Time 0.760 (0.767)	Data 0.001 (0.002)	Loss 3.0259 (2.7512)	Prec@1 30.469 (34.367)	Prec@5 60.938 (64.724)
Epoch: [22][3200/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 2.4537 (2.7511)	Prec@1 35.156 (34.372)	Prec@5 71.875 (64.727)
Epoch: [22][3210/14090]	Time 0.761 (0.767)	Data 0.001 (0.002)	Loss 2.7574 (2.7507)	Prec@1 35.938 (34.374)	Prec@5 62.500 (64.734)
Epoch: [22][3220/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 2.9759 (2.7508)	Prec@1 37.500 (34.374)	Prec@5 60.938 (64.735)
Epoch: [22][3230/14090]	Time 0.789 (0.767)	Data 0.001 (0.002)	Loss 2.8223 (2.7508)	Prec@1 33.594 (34.374)	Prec@5 64.844 (64.734)
Epoch: [22][3240/14090]	Time 0.876 (0.767)	Data 0.001 (0.002)	Loss 2.4825 (2.7506)	Prec@1 39.844 (34.379)	Prec@5 67.969 (64.736)
Epoch: [22][3250/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.6217 (2.7505)	Prec@1 38.281 (34.379)	Prec@5 66.406 (64.737)
Epoch: [22][3260/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 2.9708 (2.7508)	Prec@1 30.469 (34.373)	Prec@5 58.594 (64.734)
Epoch: [22][3270/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 2.8282 (2.7508)	Prec@1 31.250 (34.367)	Prec@5 64.844 (64.732)
Epoch: [22][3280/14090]	Time 0.762 (0.767)	Data 0.001 (0.002)	Loss 2.7709 (2.7510)	Prec@1 34.375 (34.368)	Prec@5 64.844 (64.728)
Epoch: [22][3290/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 2.6430 (2.7508)	Prec@1 33.594 (34.370)	Prec@5 64.844 (64.733)
Epoch: [22][3300/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 2.7305 (2.7507)	Prec@1 36.719 (34.367)	Prec@5 65.625 (64.734)
Epoch: [22][3310/14090]	Time 0.877 (0.767)	Data 0.001 (0.002)	Loss 2.6380 (2.7503)	Prec@1 30.469 (34.369)	Prec@5 68.750 (64.741)
Epoch: [22][3320/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.6102 (2.7503)	Prec@1 41.406 (34.373)	Prec@5 63.281 (64.740)
Epoch: [22][3330/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 2.4139 (2.7501)	Prec@1 36.719 (34.376)	Prec@5 67.969 (64.744)
Epoch: [22][3340/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 2.7969 (2.7499)	Prec@1 32.812 (34.375)	Prec@5 65.625 (64.752)
Epoch: [22][3350/14090]	Time 0.778 (0.767)	Data 0.001 (0.002)	Loss 3.2498 (2.7502)	Prec@1 25.781 (34.370)	Prec@5 57.812 (64.748)
Epoch: [22][3360/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 2.8262 (2.7502)	Prec@1 32.031 (34.373)	Prec@5 61.719 (64.747)
Epoch: [22][3370/14090]	Time 0.726 (0.767)	Data 0.001 (0.002)	Loss 2.5946 (2.7504)	Prec@1 35.156 (34.368)	Prec@5 65.625 (64.741)
Epoch: [22][3380/14090]	Time 0.846 (0.767)	Data 0.001 (0.002)	Loss 2.9068 (2.7504)	Prec@1 33.594 (34.370)	Prec@5 61.719 (64.743)
Epoch: [22][3390/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 2.4893 (2.7501)	Prec@1 37.500 (34.374)	Prec@5 68.750 (64.750)
Epoch: [22][3400/14090]	Time 0.760 (0.767)	Data 0.001 (0.002)	Loss 2.6406 (2.7501)	Prec@1 37.500 (34.375)	Prec@5 65.625 (64.750)
Epoch: [22][3410/14090]	Time 0.775 (0.767)	Data 0.001 (0.002)	Loss 2.4869 (2.7501)	Prec@1 37.500 (34.374)	Prec@5 67.188 (64.748)
Epoch: [22][3420/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.6405 (2.7503)	Prec@1 37.500 (34.374)	Prec@5 66.406 (64.745)
Epoch: [22][3430/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 2.8423 (2.7503)	Prec@1 32.031 (34.371)	Prec@5 65.625 (64.748)
Epoch: [22][3440/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 2.6811 (2.7502)	Prec@1 32.812 (34.374)	Prec@5 68.750 (64.754)
Epoch: [22][3450/14090]	Time 0.893 (0.767)	Data 0.001 (0.002)	Loss 2.8542 (2.7503)	Prec@1 31.250 (34.371)	Prec@5 61.719 (64.748)
Epoch: [22][3460/14090]	Time 0.783 (0.767)	Data 0.001 (0.002)	Loss 2.7540 (2.7505)	Prec@1 34.375 (34.373)	Prec@5 62.500 (64.745)
Epoch: [22][3470/14090]	Time 0.725 (0.767)	Data 0.001 (0.002)	Loss 2.6588 (2.7506)	Prec@1 33.594 (34.370)	Prec@5 66.406 (64.745)
Epoch: [22][3480/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 2.9830 (2.7510)	Prec@1 31.250 (34.366)	Prec@5 62.500 (64.736)
Epoch: [22][3490/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 2.5867 (2.7511)	Prec@1 39.844 (34.364)	Prec@5 64.844 (64.730)
Epoch: [22][3500/14090]	Time 0.767 (0.767)	Data 0.001 (0.002)	Loss 2.5605 (2.7509)	Prec@1 32.031 (34.365)	Prec@5 68.750 (64.735)
Epoch: [22][3510/14090]	Time 0.719 (0.767)	Data 0.001 (0.002)	Loss 2.8527 (2.7510)	Prec@1 32.031 (34.365)	Prec@5 64.062 (64.731)
Epoch: [22][3520/14090]	Time 0.864 (0.767)	Data 0.001 (0.002)	Loss 2.7893 (2.7510)	Prec@1 32.031 (34.362)	Prec@5 60.938 (64.732)
Epoch: [22][3530/14090]	Time 0.764 (0.767)	Data 0.001 (0.002)	Loss 2.4623 (2.7510)	Prec@1 34.375 (34.364)	Prec@5 73.438 (64.734)
Epoch: [22][3540/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 2.8888 (2.7509)	Prec@1 29.688 (34.364)	Prec@5 63.281 (64.733)
Epoch: [22][3550/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 2.5137 (2.7511)	Prec@1 46.094 (34.363)	Prec@5 67.188 (64.732)
Epoch: [22][3560/14090]	Time 0.727 (0.767)	Data 0.001 (0.002)	Loss 2.9650 (2.7511)	Prec@1 31.250 (34.365)	Prec@5 61.719 (64.737)
Epoch: [22][3570/14090]	Time 0.761 (0.767)	Data 0.001 (0.002)	Loss 2.6806 (2.7509)	Prec@1 35.938 (34.368)	Prec@5 65.625 (64.741)
Epoch: [22][3580/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 2.6504 (2.7511)	Prec@1 36.719 (34.363)	Prec@5 66.406 (64.738)
Epoch: [22][3590/14090]	Time 0.857 (0.767)	Data 0.001 (0.002)	Loss 2.5726 (2.7510)	Prec@1 33.594 (34.365)	Prec@5 71.875 (64.736)
Epoch: [22][3600/14090]	Time 0.757 (0.767)	Data 0.001 (0.002)	Loss 2.8656 (2.7510)	Prec@1 31.250 (34.364)	Prec@5 64.844 (64.736)
Epoch: [22][3610/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 2.9858 (2.7509)	Prec@1 33.594 (34.371)	Prec@5 58.594 (64.735)
Epoch: [22][3620/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 2.8404 (2.7509)	Prec@1 36.719 (34.373)	Prec@5 67.188 (64.737)
Epoch: [22][3630/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 2.6835 (2.7510)	Prec@1 34.375 (34.369)	Prec@5 66.406 (64.737)
Epoch: [22][3640/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 2.6503 (2.7509)	Prec@1 31.250 (34.369)	Prec@5 67.969 (64.736)
Epoch: [22][3650/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 2.6685 (2.7509)	Prec@1 38.281 (34.371)	Prec@5 62.500 (64.732)
Epoch: [22][3660/14090]	Time 0.847 (0.767)	Data 0.001 (0.002)	Loss 2.8152 (2.7512)	Prec@1 33.594 (34.367)	Prec@5 62.500 (64.724)
Epoch: [22][3670/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 2.5158 (2.7512)	Prec@1 41.406 (34.366)	Prec@5 69.531 (64.724)
Epoch: [22][3680/14090]	Time 0.774 (0.767)	Data 0.001 (0.002)	Loss 2.7494 (2.7513)	Prec@1 31.250 (34.357)	Prec@5 69.531 (64.725)
Epoch: [22][3690/14090]	Time 0.757 (0.767)	Data 0.001 (0.002)	Loss 2.4318 (2.7512)	Prec@1 40.625 (34.359)	Prec@5 72.656 (64.729)
Epoch: [22][3700/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 2.8182 (2.7511)	Prec@1 36.719 (34.360)	Prec@5 64.062 (64.733)
Epoch: [22][3710/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 2.6438 (2.7511)	Prec@1 36.719 (34.360)	Prec@5 64.844 (64.727)
Epoch: [22][3720/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 2.5448 (2.7511)	Prec@1 39.062 (34.361)	Prec@5 67.969 (64.724)
Epoch: [22][3730/14090]	Time 0.833 (0.767)	Data 0.001 (0.002)	Loss 2.7400 (2.7512)	Prec@1 38.281 (34.366)	Prec@5 68.750 (64.721)
Epoch: [22][3740/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 2.8348 (2.7511)	Prec@1 38.281 (34.371)	Prec@5 59.375 (64.723)
Epoch: [22][3750/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 2.6984 (2.7514)	Prec@1 42.969 (34.369)	Prec@5 65.625 (64.721)
Epoch: [22][3760/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 2.6202 (2.7514)	Prec@1 35.156 (34.373)	Prec@5 67.188 (64.721)
Epoch: [22][3770/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 2.4747 (2.7515)	Prec@1 35.156 (34.369)	Prec@5 67.188 (64.720)
Epoch: [22][3780/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 3.1886 (2.7515)	Prec@1 26.562 (34.372)	Prec@5 55.469 (64.721)
Epoch: [22][3790/14090]	Time 0.724 (0.767)	Data 0.001 (0.002)	Loss 2.6199 (2.7513)	Prec@1 44.531 (34.376)	Prec@5 67.188 (64.725)
Epoch: [22][3800/14090]	Time 0.846 (0.767)	Data 0.001 (0.002)	Loss 2.7317 (2.7513)	Prec@1 36.719 (34.375)	Prec@5 67.969 (64.727)
Epoch: [22][3810/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 2.4105 (2.7512)	Prec@1 35.938 (34.376)	Prec@5 69.531 (64.729)
Epoch: [22][3820/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 2.6184 (2.7513)	Prec@1 35.156 (34.374)	Prec@5 69.531 (64.727)
Epoch: [22][3830/14090]	Time 0.766 (0.767)	Data 0.001 (0.002)	Loss 2.9005 (2.7514)	Prec@1 31.250 (34.373)	Prec@5 63.281 (64.724)
Epoch: [22][3840/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 2.7680 (2.7513)	Prec@1 32.812 (34.376)	Prec@5 64.844 (64.726)
Epoch: [22][3850/14090]	Time 0.760 (0.767)	Data 0.001 (0.002)	Loss 2.3988 (2.7512)	Prec@1 41.406 (34.379)	Prec@5 72.656 (64.730)
Epoch: [22][3860/14090]	Time 0.760 (0.767)	Data 0.001 (0.002)	Loss 2.7149 (2.7513)	Prec@1 34.375 (34.380)	Prec@5 67.188 (64.725)
Epoch: [22][3870/14090]	Time 0.849 (0.767)	Data 0.001 (0.002)	Loss 2.7922 (2.7513)	Prec@1 31.250 (34.378)	Prec@5 62.500 (64.728)
Epoch: [22][3880/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 2.7760 (2.7513)	Prec@1 38.281 (34.375)	Prec@5 68.750 (64.728)
Epoch: [22][3890/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.6227 (2.7513)	Prec@1 35.938 (34.375)	Prec@5 68.750 (64.728)
Epoch: [22][3900/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 2.7237 (2.7513)	Prec@1 39.062 (34.375)	Prec@5 62.500 (64.722)
Epoch: [22][3910/14090]	Time 0.778 (0.767)	Data 0.001 (0.002)	Loss 2.8279 (2.7514)	Prec@1 32.812 (34.372)	Prec@5 64.062 (64.721)
Epoch: [22][3920/14090]	Time 0.760 (0.767)	Data 0.001 (0.002)	Loss 3.0473 (2.7513)	Prec@1 28.906 (34.379)	Prec@5 60.156 (64.723)
Epoch: [22][3930/14090]	Time 0.763 (0.767)	Data 0.001 (0.002)	Loss 2.6427 (2.7514)	Prec@1 35.938 (34.373)	Prec@5 63.281 (64.718)
Epoch: [22][3940/14090]	Time 0.868 (0.767)	Data 0.001 (0.002)	Loss 2.8475 (2.7515)	Prec@1 32.812 (34.373)	Prec@5 61.719 (64.715)
Epoch: [22][3950/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 3.0244 (2.7517)	Prec@1 32.031 (34.368)	Prec@5 64.062 (64.713)
Epoch: [22][3960/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 2.6338 (2.7516)	Prec@1 28.906 (34.364)	Prec@5 66.406 (64.714)
Epoch: [22][3970/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 2.8145 (2.7517)	Prec@1 35.938 (34.361)	Prec@5 64.844 (64.712)
Epoch: [22][3980/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 3.0384 (2.7521)	Prec@1 25.000 (34.353)	Prec@5 63.281 (64.705)
Epoch: [22][3990/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 2.9602 (2.7521)	Prec@1 34.375 (34.353)	Prec@5 61.719 (64.701)
Epoch: [22][4000/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 2.7574 (2.7520)	Prec@1 34.375 (34.352)	Prec@5 67.188 (64.707)
Epoch: [22][4010/14090]	Time 0.876 (0.767)	Data 0.001 (0.002)	Loss 2.9965 (2.7522)	Prec@1 27.344 (34.348)	Prec@5 61.719 (64.706)
Epoch: [22][4020/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 3.1072 (2.7521)	Prec@1 25.781 (34.351)	Prec@5 58.594 (64.709)
Epoch: [22][4030/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 2.7664 (2.7520)	Prec@1 38.281 (34.353)	Prec@5 62.500 (64.711)
Epoch: [22][4040/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 2.9423 (2.7522)	Prec@1 35.156 (34.351)	Prec@5 60.156 (64.709)
Epoch: [22][4050/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 2.4849 (2.7520)	Prec@1 33.594 (34.353)	Prec@5 71.094 (64.709)
Epoch: [22][4060/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 2.6827 (2.7519)	Prec@1 34.375 (34.358)	Prec@5 64.062 (64.710)
Epoch: [22][4070/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 2.6791 (2.7520)	Prec@1 40.625 (34.359)	Prec@5 68.750 (64.709)
Epoch: [22][4080/14090]	Time 0.871 (0.767)	Data 0.001 (0.002)	Loss 3.2252 (2.7520)	Prec@1 25.000 (34.360)	Prec@5 53.125 (64.710)
Epoch: [22][4090/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 3.1639 (2.7519)	Prec@1 20.312 (34.364)	Prec@5 57.812 (64.711)
Epoch: [22][4100/14090]	Time 0.765 (0.767)	Data 0.001 (0.002)	Loss 2.5895 (2.7519)	Prec@1 36.719 (34.362)	Prec@5 65.625 (64.708)
Epoch: [22][4110/14090]	Time 0.778 (0.767)	Data 0.001 (0.002)	Loss 2.8844 (2.7519)	Prec@1 31.250 (34.362)	Prec@5 63.281 (64.707)
Epoch: [22][4120/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 2.7789 (2.7520)	Prec@1 34.375 (34.362)	Prec@5 64.844 (64.704)
Epoch: [22][4130/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.6580 (2.7521)	Prec@1 37.500 (34.363)	Prec@5 67.188 (64.703)
Epoch: [22][4140/14090]	Time 0.760 (0.767)	Data 0.001 (0.002)	Loss 2.6693 (2.7518)	Prec@1 39.844 (34.367)	Prec@5 65.625 (64.709)
Epoch: [22][4150/14090]	Time 0.875 (0.767)	Data 0.001 (0.002)	Loss 2.7249 (2.7520)	Prec@1 32.812 (34.364)	Prec@5 66.406 (64.706)
Epoch: [22][4160/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 2.9811 (2.7522)	Prec@1 34.375 (34.362)	Prec@5 60.938 (64.698)
Epoch: [22][4170/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 2.7271 (2.7524)	Prec@1 31.250 (34.358)	Prec@5 64.062 (64.694)
Epoch: [22][4180/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 2.6697 (2.7524)	Prec@1 37.500 (34.359)	Prec@5 70.312 (64.694)
Epoch: [22][4190/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 2.7408 (2.7525)	Prec@1 35.938 (34.351)	Prec@5 62.500 (64.695)
Epoch: [22][4200/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 2.7614 (2.7526)	Prec@1 36.719 (34.351)	Prec@5 60.156 (64.693)
Epoch: [22][4210/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 2.5913 (2.7527)	Prec@1 42.969 (34.351)	Prec@5 69.531 (64.692)
Epoch: [22][4220/14090]	Time 0.850 (0.767)	Data 0.001 (0.002)	Loss 2.7176 (2.7527)	Prec@1 35.156 (34.352)	Prec@5 65.625 (64.690)
Epoch: [22][4230/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 2.8414 (2.7526)	Prec@1 33.594 (34.354)	Prec@5 64.844 (64.692)
Epoch: [22][4240/14090]	Time 0.731 (0.767)	Data 0.001 (0.002)	Loss 2.8372 (2.7526)	Prec@1 35.156 (34.351)	Prec@5 64.062 (64.695)
Epoch: [22][4250/14090]	Time 0.782 (0.767)	Data 0.001 (0.002)	Loss 2.5219 (2.7526)	Prec@1 39.844 (34.352)	Prec@5 70.312 (64.699)
Epoch: [22][4260/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 2.8072 (2.7527)	Prec@1 34.375 (34.348)	Prec@5 69.531 (64.695)
Epoch: [22][4270/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 2.5921 (2.7528)	Prec@1 32.812 (34.347)	Prec@5 65.625 (64.694)
Epoch: [22][4280/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 2.4752 (2.7526)	Prec@1 40.625 (34.347)	Prec@5 68.750 (64.696)
Epoch: [22][4290/14090]	Time 0.848 (0.767)	Data 0.001 (0.002)	Loss 2.9080 (2.7526)	Prec@1 29.688 (34.347)	Prec@5 60.938 (64.696)
Epoch: [22][4300/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 2.7704 (2.7526)	Prec@1 34.375 (34.347)	Prec@5 61.719 (64.694)
Epoch: [22][4310/14090]	Time 0.767 (0.766)	Data 0.001 (0.002)	Loss 2.8228 (2.7528)	Prec@1 32.812 (34.341)	Prec@5 64.062 (64.689)
Epoch: [22][4320/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 2.7304 (2.7528)	Prec@1 32.812 (34.340)	Prec@5 60.156 (64.687)
Epoch: [22][4330/14090]	Time 0.719 (0.766)	Data 0.001 (0.002)	Loss 2.9620 (2.7530)	Prec@1 32.812 (34.340)	Prec@5 59.375 (64.682)
Epoch: [22][4340/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.7063 (2.7530)	Prec@1 32.031 (34.339)	Prec@5 69.531 (64.683)
Epoch: [22][4350/14090]	Time 0.768 (0.766)	Data 0.001 (0.002)	Loss 2.5651 (2.7528)	Prec@1 40.625 (34.344)	Prec@5 66.406 (64.685)
Epoch: [22][4360/14090]	Time 0.830 (0.766)	Data 0.001 (0.002)	Loss 2.7397 (2.7528)	Prec@1 39.062 (34.348)	Prec@5 65.625 (64.686)
Epoch: [22][4370/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 2.9648 (2.7528)	Prec@1 35.156 (34.351)	Prec@5 60.156 (64.688)
Epoch: [22][4380/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 2.8293 (2.7527)	Prec@1 33.594 (34.351)	Prec@5 60.938 (64.686)
Epoch: [22][4390/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.7463 (2.7526)	Prec@1 31.250 (34.353)	Prec@5 63.281 (64.689)
Epoch: [22][4400/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 2.5870 (2.7527)	Prec@1 36.719 (34.353)	Prec@5 65.625 (64.686)
Epoch: [22][4410/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 2.5842 (2.7524)	Prec@1 35.938 (34.355)	Prec@5 65.625 (64.690)
Epoch: [22][4420/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 2.8456 (2.7525)	Prec@1 30.469 (34.357)	Prec@5 63.281 (64.691)
Epoch: [22][4430/14090]	Time 0.854 (0.766)	Data 0.001 (0.002)	Loss 2.8891 (2.7525)	Prec@1 32.812 (34.359)	Prec@5 58.594 (64.694)
Epoch: [22][4440/14090]	Time 0.768 (0.766)	Data 0.001 (0.002)	Loss 2.7336 (2.7525)	Prec@1 38.281 (34.362)	Prec@5 66.406 (64.693)
Epoch: [22][4450/14090]	Time 0.776 (0.766)	Data 0.001 (0.002)	Loss 2.6116 (2.7524)	Prec@1 38.281 (34.364)	Prec@5 69.531 (64.695)
Epoch: [22][4460/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 2.6757 (2.7523)	Prec@1 32.812 (34.366)	Prec@5 64.844 (64.694)
Epoch: [22][4470/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 2.6934 (2.7521)	Prec@1 35.938 (34.367)	Prec@5 67.188 (64.698)
Epoch: [22][4480/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.5547 (2.7522)	Prec@1 40.625 (34.367)	Prec@5 67.188 (64.696)
Epoch: [22][4490/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 2.7357 (2.7520)	Prec@1 37.500 (34.372)	Prec@5 62.500 (64.700)
Epoch: [22][4500/14090]	Time 0.847 (0.766)	Data 0.001 (0.002)	Loss 2.6841 (2.7520)	Prec@1 38.281 (34.373)	Prec@5 70.312 (64.700)
Epoch: [22][4510/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.9125 (2.7523)	Prec@1 28.906 (34.368)	Prec@5 58.594 (64.692)
Epoch: [22][4520/14090]	Time 0.724 (0.766)	Data 0.001 (0.002)	Loss 2.9966 (2.7524)	Prec@1 33.594 (34.366)	Prec@5 59.375 (64.692)
Epoch: [22][4530/14090]	Time 0.765 (0.766)	Data 0.001 (0.002)	Loss 2.8250 (2.7524)	Prec@1 35.156 (34.365)	Prec@5 61.719 (64.690)
Epoch: [22][4540/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 2.3879 (2.7523)	Prec@1 39.062 (34.367)	Prec@5 67.969 (64.690)
Epoch: [22][4550/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 2.6832 (2.7523)	Prec@1 35.156 (34.366)	Prec@5 66.406 (64.687)
Epoch: [22][4560/14090]	Time 0.770 (0.766)	Data 0.001 (0.002)	Loss 2.6028 (2.7524)	Prec@1 37.500 (34.365)	Prec@5 64.844 (64.686)
Epoch: [22][4570/14090]	Time 0.878 (0.766)	Data 0.001 (0.002)	Loss 2.9328 (2.7525)	Prec@1 28.906 (34.363)	Prec@5 59.375 (64.683)
Epoch: [22][4580/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.8461 (2.7525)	Prec@1 31.250 (34.362)	Prec@5 64.062 (64.688)
Epoch: [22][4590/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 2.7037 (2.7526)	Prec@1 34.375 (34.361)	Prec@5 68.750 (64.686)
Epoch: [22][4600/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 2.7355 (2.7527)	Prec@1 36.719 (34.361)	Prec@5 67.188 (64.686)
Epoch: [22][4610/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 2.5325 (2.7524)	Prec@1 37.500 (34.365)	Prec@5 68.750 (64.691)
Epoch: [22][4620/14090]	Time 0.763 (0.766)	Data 0.001 (0.002)	Loss 2.6110 (2.7523)	Prec@1 30.469 (34.365)	Prec@5 66.406 (64.694)
Epoch: [22][4630/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 2.5748 (2.7523)	Prec@1 39.062 (34.364)	Prec@5 66.406 (64.694)
Epoch: [22][4640/14090]	Time 0.921 (0.766)	Data 0.001 (0.002)	Loss 2.9100 (2.7523)	Prec@1 34.375 (34.364)	Prec@5 64.062 (64.695)
Epoch: [22][4650/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.7089 (2.7524)	Prec@1 37.500 (34.362)	Prec@5 65.625 (64.695)
Epoch: [22][4660/14090]	Time 0.724 (0.766)	Data 0.001 (0.002)	Loss 2.6866 (2.7525)	Prec@1 33.594 (34.363)	Prec@5 64.062 (64.693)
Epoch: [22][4670/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.7012 (2.7524)	Prec@1 37.500 (34.368)	Prec@5 69.531 (64.695)
Epoch: [22][4680/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.7260 (2.7523)	Prec@1 34.375 (34.366)	Prec@5 60.156 (64.695)
Epoch: [22][4690/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.9259 (2.7524)	Prec@1 33.594 (34.363)	Prec@5 57.031 (64.693)
Epoch: [22][4700/14090]	Time 0.770 (0.766)	Data 0.001 (0.002)	Loss 2.7770 (2.7523)	Prec@1 32.031 (34.363)	Prec@5 60.938 (64.692)
Epoch: [22][4710/14090]	Time 0.885 (0.766)	Data 0.001 (0.002)	Loss 2.3062 (2.7523)	Prec@1 42.969 (34.364)	Prec@5 70.312 (64.688)
Epoch: [22][4720/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 2.9831 (2.7524)	Prec@1 29.688 (34.363)	Prec@5 61.719 (64.688)
Epoch: [22][4730/14090]	Time 0.721 (0.766)	Data 0.001 (0.002)	Loss 2.9006 (2.7524)	Prec@1 35.938 (34.360)	Prec@5 60.156 (64.685)
Epoch: [22][4740/14090]	Time 0.764 (0.766)	Data 0.001 (0.002)	Loss 2.7275 (2.7525)	Prec@1 31.250 (34.358)	Prec@5 65.625 (64.684)
Epoch: [22][4750/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 2.8258 (2.7525)	Prec@1 37.500 (34.356)	Prec@5 59.375 (64.682)
Epoch: [22][4760/14090]	Time 0.764 (0.766)	Data 0.001 (0.002)	Loss 3.0561 (2.7526)	Prec@1 25.781 (34.354)	Prec@5 57.812 (64.683)
Epoch: [22][4770/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 2.8156 (2.7524)	Prec@1 30.469 (34.356)	Prec@5 63.281 (64.684)
Epoch: [22][4780/14090]	Time 0.836 (0.766)	Data 0.001 (0.002)	Loss 2.6292 (2.7523)	Prec@1 39.062 (34.356)	Prec@5 67.188 (64.684)
Epoch: [22][4790/14090]	Time 0.797 (0.766)	Data 0.001 (0.002)	Loss 2.5068 (2.7523)	Prec@1 44.531 (34.355)	Prec@5 72.656 (64.684)
Epoch: [22][4800/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 2.8168 (2.7522)	Prec@1 35.156 (34.355)	Prec@5 64.062 (64.689)
Epoch: [22][4810/14090]	Time 0.728 (0.766)	Data 0.001 (0.002)	Loss 2.8592 (2.7521)	Prec@1 31.250 (34.358)	Prec@5 64.062 (64.691)
Epoch: [22][4820/14090]	Time 0.775 (0.766)	Data 0.001 (0.002)	Loss 2.6051 (2.7522)	Prec@1 39.062 (34.352)	Prec@5 71.094 (64.690)
Epoch: [22][4830/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.8413 (2.7522)	Prec@1 28.906 (34.351)	Prec@5 61.719 (64.694)
Epoch: [22][4840/14090]	Time 0.727 (0.766)	Data 0.001 (0.002)	Loss 2.5543 (2.7522)	Prec@1 35.938 (34.351)	Prec@5 72.656 (64.697)
Epoch: [22][4850/14090]	Time 0.884 (0.766)	Data 0.001 (0.002)	Loss 2.7420 (2.7522)	Prec@1 35.156 (34.351)	Prec@5 67.188 (64.697)
Epoch: [22][4860/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 2.7124 (2.7522)	Prec@1 32.031 (34.351)	Prec@5 68.750 (64.699)
Epoch: [22][4870/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.7851 (2.7521)	Prec@1 30.469 (34.350)	Prec@5 67.188 (64.700)
Epoch: [22][4880/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.9182 (2.7522)	Prec@1 38.281 (34.352)	Prec@5 65.625 (64.699)
Epoch: [22][4890/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 2.6498 (2.7523)	Prec@1 32.031 (34.351)	Prec@5 70.312 (64.700)
Epoch: [22][4900/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 3.0673 (2.7522)	Prec@1 25.000 (34.350)	Prec@5 57.812 (64.703)
Epoch: [22][4910/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 2.7399 (2.7524)	Prec@1 32.031 (34.345)	Prec@5 64.844 (64.698)
Epoch: [22][4920/14090]	Time 0.872 (0.766)	Data 0.001 (0.002)	Loss 2.8913 (2.7523)	Prec@1 32.031 (34.347)	Prec@5 60.938 (64.697)
Epoch: [22][4930/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.9821 (2.7525)	Prec@1 31.250 (34.344)	Prec@5 67.188 (64.696)
Epoch: [22][4940/14090]	Time 0.723 (0.766)	Data 0.001 (0.002)	Loss 2.6270 (2.7525)	Prec@1 39.844 (34.347)	Prec@5 66.406 (64.694)
Epoch: [22][4950/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 2.3274 (2.7525)	Prec@1 43.750 (34.345)	Prec@5 74.219 (64.696)
Epoch: [22][4960/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 2.5996 (2.7526)	Prec@1 35.156 (34.344)	Prec@5 71.094 (64.694)
Epoch: [22][4970/14090]	Time 0.779 (0.766)	Data 0.001 (0.002)	Loss 3.2737 (2.7528)	Prec@1 28.125 (34.342)	Prec@5 51.562 (64.688)
Epoch: [22][4980/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.9332 (2.7528)	Prec@1 33.594 (34.340)	Prec@5 64.844 (64.690)
Epoch: [22][4990/14090]	Time 0.823 (0.766)	Data 0.001 (0.002)	Loss 2.5664 (2.7529)	Prec@1 39.062 (34.339)	Prec@5 67.969 (64.689)
Epoch: [22][5000/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 2.8221 (2.7528)	Prec@1 34.375 (34.343)	Prec@5 60.938 (64.691)
Epoch: [22][5010/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.9245 (2.7528)	Prec@1 32.031 (34.344)	Prec@5 63.281 (64.692)
Epoch: [22][5020/14090]	Time 0.765 (0.766)	Data 0.001 (0.002)	Loss 2.9616 (2.7528)	Prec@1 30.469 (34.340)	Prec@5 62.500 (64.691)
Epoch: [22][5030/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.5638 (2.7526)	Prec@1 38.281 (34.343)	Prec@5 67.188 (64.693)
Epoch: [22][5040/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 2.8350 (2.7527)	Prec@1 39.062 (34.343)	Prec@5 64.844 (64.693)
Epoch: [22][5050/14090]	Time 0.774 (0.766)	Data 0.001 (0.002)	Loss 2.5944 (2.7527)	Prec@1 44.531 (34.345)	Prec@5 67.969 (64.697)
Epoch: [22][5060/14090]	Time 0.884 (0.766)	Data 0.001 (0.002)	Loss 2.9945 (2.7529)	Prec@1 33.594 (34.341)	Prec@5 56.250 (64.693)
Epoch: [22][5070/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 2.7287 (2.7528)	Prec@1 33.594 (34.341)	Prec@5 71.875 (64.694)
Epoch: [22][5080/14090]	Time 0.777 (0.766)	Data 0.001 (0.002)	Loss 2.9793 (2.7531)	Prec@1 28.125 (34.337)	Prec@5 64.062 (64.689)
Epoch: [22][5090/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.8021 (2.7532)	Prec@1 32.031 (34.334)	Prec@5 64.062 (64.690)
Epoch: [22][5100/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 2.9264 (2.7532)	Prec@1 28.125 (34.336)	Prec@5 61.719 (64.687)
Epoch: [22][5110/14090]	Time 0.717 (0.766)	Data 0.001 (0.002)	Loss 2.8793 (2.7533)	Prec@1 39.062 (34.337)	Prec@5 63.281 (64.683)
Epoch: [22][5120/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.9788 (2.7535)	Prec@1 33.594 (34.333)	Prec@5 60.938 (64.679)
Epoch: [22][5130/14090]	Time 0.878 (0.766)	Data 0.001 (0.002)	Loss 2.7205 (2.7535)	Prec@1 34.375 (34.334)	Prec@5 62.500 (64.676)
Epoch: [22][5140/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.8546 (2.7535)	Prec@1 32.031 (34.335)	Prec@5 60.156 (64.677)
Epoch: [22][5150/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.4434 (2.7534)	Prec@1 48.438 (34.337)	Prec@5 71.094 (64.680)
Epoch: [22][5160/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 2.5833 (2.7534)	Prec@1 37.500 (34.340)	Prec@5 68.750 (64.683)
Epoch: [22][5170/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.8208 (2.7533)	Prec@1 32.031 (34.342)	Prec@5 62.500 (64.688)
Epoch: [22][5180/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 2.8310 (2.7532)	Prec@1 32.031 (34.344)	Prec@5 62.500 (64.690)
Epoch: [22][5190/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 3.0166 (2.7532)	Prec@1 30.469 (34.345)	Prec@5 62.500 (64.692)
Epoch: [22][5200/14090]	Time 0.873 (0.766)	Data 0.001 (0.002)	Loss 2.9287 (2.7532)	Prec@1 28.906 (34.345)	Prec@5 60.938 (64.692)
Epoch: [22][5210/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 3.0163 (2.7532)	Prec@1 28.906 (34.342)	Prec@5 57.031 (64.692)
Epoch: [22][5220/14090]	Time 0.763 (0.766)	Data 0.001 (0.002)	Loss 2.5082 (2.7531)	Prec@1 36.719 (34.347)	Prec@5 70.312 (64.693)
Epoch: [22][5230/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 3.0472 (2.7532)	Prec@1 31.250 (34.343)	Prec@5 54.688 (64.689)
Epoch: [22][5240/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 2.4409 (2.7531)	Prec@1 34.375 (34.342)	Prec@5 69.531 (64.691)
Epoch: [22][5250/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 2.7159 (2.7532)	Prec@1 37.500 (34.342)	Prec@5 68.750 (64.689)
Epoch: [22][5260/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 2.9864 (2.7532)	Prec@1 34.375 (34.341)	Prec@5 64.062 (64.689)
Epoch: [22][5270/14090]	Time 0.889 (0.766)	Data 0.001 (0.002)	Loss 2.7494 (2.7533)	Prec@1 35.938 (34.341)	Prec@5 60.938 (64.686)
Epoch: [22][5280/14090]	Time 0.771 (0.766)	Data 0.001 (0.002)	Loss 2.7052 (2.7534)	Prec@1 37.500 (34.342)	Prec@5 64.062 (64.687)
Epoch: [22][5290/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 2.7443 (2.7533)	Prec@1 34.375 (34.344)	Prec@5 62.500 (64.688)
Epoch: [22][5300/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.3535 (2.7532)	Prec@1 49.219 (34.345)	Prec@5 74.219 (64.690)
Epoch: [22][5310/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.7535 (2.7532)	Prec@1 32.031 (34.346)	Prec@5 63.281 (64.691)
Epoch: [22][5320/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.5395 (2.7533)	Prec@1 42.969 (34.345)	Prec@5 70.312 (64.687)
Epoch: [22][5330/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 2.8468 (2.7532)	Prec@1 34.375 (34.348)	Prec@5 64.062 (64.690)
Epoch: [22][5340/14090]	Time 0.855 (0.766)	Data 0.001 (0.002)	Loss 3.0340 (2.7534)	Prec@1 25.000 (34.346)	Prec@5 61.719 (64.686)
Epoch: [22][5350/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.6570 (2.7534)	Prec@1 39.844 (34.349)	Prec@5 64.062 (64.686)
Epoch: [22][5360/14090]	Time 0.789 (0.766)	Data 0.001 (0.002)	Loss 2.9319 (2.7534)	Prec@1 32.031 (34.346)	Prec@5 62.500 (64.687)
Epoch: [22][5370/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.8207 (2.7534)	Prec@1 29.688 (34.346)	Prec@5 62.500 (64.687)
Epoch: [22][5380/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.6045 (2.7534)	Prec@1 32.031 (34.347)	Prec@5 65.625 (64.687)
Epoch: [22][5390/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 2.6944 (2.7534)	Prec@1 35.156 (34.344)	Prec@5 67.188 (64.686)
Epoch: [22][5400/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.9103 (2.7534)	Prec@1 31.250 (34.344)	Prec@5 63.281 (64.684)
Epoch: [22][5410/14090]	Time 0.856 (0.766)	Data 0.001 (0.002)	Loss 2.6264 (2.7533)	Prec@1 36.719 (34.346)	Prec@5 66.406 (64.682)
Epoch: [22][5420/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 2.5922 (2.7533)	Prec@1 39.844 (34.347)	Prec@5 67.188 (64.683)
Epoch: [22][5430/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.5499 (2.7532)	Prec@1 39.844 (34.348)	Prec@5 71.094 (64.683)
Epoch: [22][5440/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.9329 (2.7533)	Prec@1 32.031 (34.346)	Prec@5 57.031 (64.682)
Epoch: [22][5450/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.6662 (2.7532)	Prec@1 36.719 (34.344)	Prec@5 67.969 (64.685)
Epoch: [22][5460/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 2.3332 (2.7530)	Prec@1 45.312 (34.350)	Prec@5 77.344 (64.691)
Epoch: [22][5470/14090]	Time 0.761 (0.766)	Data 0.001 (0.002)	Loss 2.6300 (2.7529)	Prec@1 34.375 (34.352)	Prec@5 70.312 (64.692)
Epoch: [22][5480/14090]	Time 0.884 (0.766)	Data 0.001 (0.002)	Loss 2.5795 (2.7529)	Prec@1 42.969 (34.352)	Prec@5 65.625 (64.693)
Epoch: [22][5490/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 2.7684 (2.7528)	Prec@1 35.938 (34.353)	Prec@5 60.938 (64.694)
Epoch: [22][5500/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 2.9650 (2.7528)	Prec@1 32.031 (34.354)	Prec@5 64.062 (64.690)
Epoch: [22][5510/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 3.1586 (2.7529)	Prec@1 30.469 (34.353)	Prec@5 58.594 (64.691)
Epoch: [22][5520/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 2.7223 (2.7527)	Prec@1 36.719 (34.357)	Prec@5 65.625 (64.694)
Epoch: [22][5530/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 2.7887 (2.7526)	Prec@1 34.375 (34.363)	Prec@5 61.719 (64.697)
Epoch: [22][5540/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 2.6601 (2.7526)	Prec@1 34.375 (34.364)	Prec@5 66.406 (64.698)
Epoch: [22][5550/14090]	Time 0.861 (0.766)	Data 0.001 (0.002)	Loss 2.9478 (2.7526)	Prec@1 28.906 (34.363)	Prec@5 60.156 (64.699)
Epoch: [22][5560/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.7336 (2.7526)	Prec@1 40.625 (34.364)	Prec@5 70.312 (64.699)
Epoch: [22][5570/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.6940 (2.7526)	Prec@1 33.594 (34.364)	Prec@5 67.188 (64.701)
Epoch: [22][5580/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.5875 (2.7525)	Prec@1 38.281 (34.368)	Prec@5 64.844 (64.706)
Epoch: [22][5590/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.5861 (2.7524)	Prec@1 39.844 (34.371)	Prec@5 70.312 (64.707)
Epoch: [22][5600/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 2.7209 (2.7523)	Prec@1 29.688 (34.369)	Prec@5 60.938 (64.709)
Epoch: [22][5610/14090]	Time 0.767 (0.766)	Data 0.001 (0.001)	Loss 2.5417 (2.7524)	Prec@1 36.719 (34.367)	Prec@5 68.750 (64.710)
Epoch: [22][5620/14090]	Time 0.881 (0.766)	Data 0.001 (0.001)	Loss 2.7019 (2.7525)	Prec@1 28.906 (34.363)	Prec@5 64.844 (64.704)
Epoch: [22][5630/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 2.9560 (2.7526)	Prec@1 35.938 (34.362)	Prec@5 61.719 (64.701)
Epoch: [22][5640/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.8408 (2.7528)	Prec@1 29.688 (34.360)	Prec@5 67.188 (64.701)
Epoch: [22][5650/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.7106 (2.7528)	Prec@1 37.500 (34.363)	Prec@5 60.938 (64.699)
Epoch: [22][5660/14090]	Time 0.720 (0.766)	Data 0.001 (0.001)	Loss 2.5029 (2.7528)	Prec@1 39.844 (34.361)	Prec@5 68.750 (64.698)
Epoch: [22][5670/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.9788 (2.7528)	Prec@1 29.688 (34.362)	Prec@5 62.500 (64.697)
Epoch: [22][5680/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.9328 (2.7526)	Prec@1 39.062 (34.369)	Prec@5 60.938 (64.703)
Epoch: [22][5690/14090]	Time 0.840 (0.766)	Data 0.001 (0.001)	Loss 2.8539 (2.7526)	Prec@1 30.469 (34.370)	Prec@5 60.156 (64.701)
Epoch: [22][5700/14090]	Time 0.777 (0.766)	Data 0.001 (0.001)	Loss 2.7836 (2.7527)	Prec@1 36.719 (34.370)	Prec@5 67.188 (64.698)
Epoch: [22][5710/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.5605 (2.7529)	Prec@1 35.156 (34.366)	Prec@5 67.188 (64.694)
Epoch: [22][5720/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.7549 (2.7530)	Prec@1 32.031 (34.364)	Prec@5 66.406 (64.689)
Epoch: [22][5730/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.5920 (2.7531)	Prec@1 40.625 (34.361)	Prec@5 70.312 (64.687)
Epoch: [22][5740/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 3.0045 (2.7531)	Prec@1 34.375 (34.362)	Prec@5 60.938 (64.688)
Epoch: [22][5750/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.6527 (2.7531)	Prec@1 41.406 (34.361)	Prec@5 65.625 (64.688)
Epoch: [22][5760/14090]	Time 0.871 (0.766)	Data 0.001 (0.001)	Loss 2.6769 (2.7530)	Prec@1 31.250 (34.359)	Prec@5 71.875 (64.688)
Epoch: [22][5770/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.9449 (2.7530)	Prec@1 31.250 (34.362)	Prec@5 64.062 (64.687)
Epoch: [22][5780/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 3.0223 (2.7532)	Prec@1 32.031 (34.360)	Prec@5 62.500 (64.683)
Epoch: [22][5790/14090]	Time 0.773 (0.766)	Data 0.001 (0.001)	Loss 2.7886 (2.7533)	Prec@1 34.375 (34.359)	Prec@5 65.625 (64.682)
Epoch: [22][5800/14090]	Time 0.777 (0.766)	Data 0.001 (0.001)	Loss 2.8487 (2.7532)	Prec@1 35.156 (34.360)	Prec@5 60.938 (64.683)
Epoch: [22][5810/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.8537 (2.7532)	Prec@1 33.594 (34.359)	Prec@5 60.156 (64.682)
Epoch: [22][5820/14090]	Time 0.740 (0.766)	Data 0.002 (0.001)	Loss 2.8406 (2.7533)	Prec@1 31.250 (34.360)	Prec@5 64.844 (64.683)
Epoch: [22][5830/14090]	Time 0.852 (0.766)	Data 0.001 (0.001)	Loss 2.7353 (2.7534)	Prec@1 32.031 (34.359)	Prec@5 65.625 (64.682)
Epoch: [22][5840/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.5611 (2.7534)	Prec@1 35.156 (34.359)	Prec@5 72.656 (64.681)
Epoch: [22][5850/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.6420 (2.7534)	Prec@1 36.719 (34.358)	Prec@5 65.625 (64.680)
Epoch: [22][5860/14090]	Time 0.771 (0.766)	Data 0.001 (0.001)	Loss 2.5974 (2.7533)	Prec@1 35.156 (34.360)	Prec@5 67.969 (64.682)
Epoch: [22][5870/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.5348 (2.7534)	Prec@1 39.062 (34.359)	Prec@5 74.219 (64.683)
Epoch: [22][5880/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.9759 (2.7535)	Prec@1 27.344 (34.358)	Prec@5 57.812 (64.680)
Epoch: [22][5890/14090]	Time 0.789 (0.766)	Data 0.001 (0.001)	Loss 2.7953 (2.7534)	Prec@1 32.812 (34.359)	Prec@5 60.938 (64.682)
Epoch: [22][5900/14090]	Time 0.873 (0.766)	Data 0.001 (0.001)	Loss 2.7860 (2.7535)	Prec@1 34.375 (34.358)	Prec@5 67.969 (64.682)
Epoch: [22][5910/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.4270 (2.7534)	Prec@1 35.156 (34.358)	Prec@5 71.094 (64.684)
Epoch: [22][5920/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.9929 (2.7535)	Prec@1 25.781 (34.360)	Prec@5 61.719 (64.682)
Epoch: [22][5930/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.6787 (2.7536)	Prec@1 34.375 (34.360)	Prec@5 64.844 (64.681)
Epoch: [22][5940/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 3.0237 (2.7535)	Prec@1 34.375 (34.357)	Prec@5 58.594 (64.680)
Epoch: [22][5950/14090]	Time 0.778 (0.766)	Data 0.001 (0.001)	Loss 2.5247 (2.7534)	Prec@1 38.281 (34.359)	Prec@5 67.969 (64.682)
Epoch: [22][5960/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.7196 (2.7534)	Prec@1 31.250 (34.358)	Prec@5 64.844 (64.681)
Epoch: [22][5970/14090]	Time 0.838 (0.766)	Data 0.001 (0.001)	Loss 2.9188 (2.7535)	Prec@1 33.594 (34.355)	Prec@5 61.719 (64.680)
Epoch: [22][5980/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.7716 (2.7536)	Prec@1 34.375 (34.357)	Prec@5 63.281 (64.679)
Epoch: [22][5990/14090]	Time 0.774 (0.766)	Data 0.001 (0.001)	Loss 2.7869 (2.7534)	Prec@1 35.156 (34.358)	Prec@5 64.062 (64.681)
Epoch: [22][6000/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.8396 (2.7535)	Prec@1 33.594 (34.356)	Prec@5 63.281 (64.679)
Epoch: [22][6010/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.7538 (2.7534)	Prec@1 28.906 (34.356)	Prec@5 64.844 (64.677)
Epoch: [22][6020/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.7931 (2.7533)	Prec@1 35.938 (34.359)	Prec@5 64.062 (64.678)
Epoch: [22][6030/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.6239 (2.7533)	Prec@1 35.156 (34.359)	Prec@5 65.625 (64.677)
Epoch: [22][6040/14090]	Time 0.858 (0.766)	Data 0.001 (0.001)	Loss 2.6350 (2.7532)	Prec@1 36.719 (34.363)	Prec@5 68.750 (64.679)
Epoch: [22][6050/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.8138 (2.7532)	Prec@1 30.469 (34.365)	Prec@5 64.062 (64.677)
Epoch: [22][6060/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.9106 (2.7533)	Prec@1 32.812 (34.364)	Prec@5 60.156 (64.675)
Epoch: [22][6070/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.8275 (2.7533)	Prec@1 27.344 (34.364)	Prec@5 64.844 (64.678)
Epoch: [22][6080/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.5015 (2.7531)	Prec@1 40.625 (34.364)	Prec@5 67.188 (64.680)
Epoch: [22][6090/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 3.1200 (2.7532)	Prec@1 29.688 (34.363)	Prec@5 56.250 (64.676)
Epoch: [22][6100/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.6611 (2.7533)	Prec@1 39.844 (34.360)	Prec@5 66.406 (64.675)
Epoch: [22][6110/14090]	Time 0.843 (0.766)	Data 0.001 (0.001)	Loss 2.7336 (2.7534)	Prec@1 34.375 (34.362)	Prec@5 61.719 (64.676)
Epoch: [22][6120/14090]	Time 0.772 (0.766)	Data 0.001 (0.001)	Loss 2.9292 (2.7535)	Prec@1 30.469 (34.360)	Prec@5 61.719 (64.673)
Epoch: [22][6130/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.8099 (2.7535)	Prec@1 27.344 (34.359)	Prec@5 60.938 (64.671)
Epoch: [22][6140/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.9377 (2.7536)	Prec@1 30.469 (34.356)	Prec@5 59.375 (64.667)
Epoch: [22][6150/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.7636 (2.7535)	Prec@1 34.375 (34.355)	Prec@5 69.531 (64.668)
Epoch: [22][6160/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 3.0438 (2.7535)	Prec@1 26.562 (34.353)	Prec@5 59.375 (64.667)
Epoch: [22][6170/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 3.0828 (2.7535)	Prec@1 28.125 (34.351)	Prec@5 61.719 (64.668)
Epoch: [22][6180/14090]	Time 0.842 (0.766)	Data 0.001 (0.001)	Loss 2.7850 (2.7535)	Prec@1 29.688 (34.349)	Prec@5 64.844 (64.669)
Epoch: [22][6190/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.9881 (2.7534)	Prec@1 29.688 (34.349)	Prec@5 62.500 (64.671)
Epoch: [22][6200/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.6124 (2.7533)	Prec@1 32.812 (34.351)	Prec@5 66.406 (64.673)
Epoch: [22][6210/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 3.1750 (2.7535)	Prec@1 32.031 (34.349)	Prec@5 57.812 (64.669)
Epoch: [22][6220/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.4277 (2.7534)	Prec@1 36.719 (34.351)	Prec@5 77.344 (64.673)
Epoch: [22][6230/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.7276 (2.7534)	Prec@1 37.500 (34.349)	Prec@5 61.719 (64.675)
Epoch: [22][6240/14090]	Time 0.779 (0.766)	Data 0.001 (0.001)	Loss 2.8416 (2.7534)	Prec@1 36.719 (34.349)	Prec@5 61.719 (64.671)
Epoch: [22][6250/14090]	Time 0.863 (0.766)	Data 0.001 (0.001)	Loss 2.8009 (2.7535)	Prec@1 35.938 (34.351)	Prec@5 64.062 (64.670)
Epoch: [22][6260/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.8394 (2.7534)	Prec@1 29.688 (34.352)	Prec@5 63.281 (64.670)
Epoch: [22][6270/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.8619 (2.7535)	Prec@1 32.031 (34.352)	Prec@5 61.719 (64.668)
Epoch: [22][6280/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.7647 (2.7535)	Prec@1 28.125 (34.353)	Prec@5 66.406 (64.670)
Epoch: [22][6290/14090]	Time 0.773 (0.766)	Data 0.001 (0.001)	Loss 2.8118 (2.7535)	Prec@1 32.031 (34.352)	Prec@5 63.281 (64.670)
Epoch: [22][6300/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 2.9366 (2.7536)	Prec@1 32.812 (34.350)	Prec@5 64.062 (64.667)
Epoch: [22][6310/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.7059 (2.7536)	Prec@1 27.344 (34.352)	Prec@5 64.062 (64.669)
Epoch: [22][6320/14090]	Time 0.850 (0.766)	Data 0.001 (0.001)	Loss 2.8352 (2.7535)	Prec@1 36.719 (34.353)	Prec@5 65.625 (64.671)
Epoch: [22][6330/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.9501 (2.7536)	Prec@1 28.906 (34.354)	Prec@5 59.375 (64.668)
Epoch: [22][6340/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.6186 (2.7537)	Prec@1 40.625 (34.353)	Prec@5 64.844 (64.667)
Epoch: [22][6350/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 3.0401 (2.7537)	Prec@1 31.250 (34.354)	Prec@5 58.594 (64.668)
Epoch: [22][6360/14090]	Time 0.722 (0.766)	Data 0.001 (0.001)	Loss 2.6271 (2.7538)	Prec@1 32.031 (34.350)	Prec@5 69.531 (64.666)
Epoch: [22][6370/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.7684 (2.7538)	Prec@1 28.125 (34.349)	Prec@5 65.625 (64.666)
Epoch: [22][6380/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.4357 (2.7536)	Prec@1 37.500 (34.352)	Prec@5 71.875 (64.668)
Epoch: [22][6390/14090]	Time 0.834 (0.766)	Data 0.001 (0.001)	Loss 2.7618 (2.7536)	Prec@1 33.594 (34.354)	Prec@5 65.625 (64.668)
Epoch: [22][6400/14090]	Time 0.722 (0.766)	Data 0.001 (0.001)	Loss 3.0695 (2.7538)	Prec@1 32.812 (34.353)	Prec@5 57.812 (64.664)
Epoch: [22][6410/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.4727 (2.7536)	Prec@1 40.625 (34.357)	Prec@5 69.531 (64.665)
Epoch: [22][6420/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.6096 (2.7536)	Prec@1 35.156 (34.358)	Prec@5 64.844 (64.665)
Epoch: [22][6430/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.7626 (2.7535)	Prec@1 38.281 (34.362)	Prec@5 67.188 (64.668)
Epoch: [22][6440/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 2.7556 (2.7534)	Prec@1 39.062 (34.366)	Prec@5 61.719 (64.667)
Epoch: [22][6450/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.9472 (2.7535)	Prec@1 33.594 (34.366)	Prec@5 61.719 (64.665)
Epoch: [22][6460/14090]	Time 0.860 (0.766)	Data 0.001 (0.001)	Loss 2.6825 (2.7535)	Prec@1 35.938 (34.368)	Prec@5 68.750 (64.667)
Epoch: [22][6470/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.9938 (2.7536)	Prec@1 28.906 (34.364)	Prec@5 64.844 (64.666)
Epoch: [22][6480/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.6994 (2.7536)	Prec@1 36.719 (34.364)	Prec@5 61.719 (64.668)
Epoch: [22][6490/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.7261 (2.7538)	Prec@1 34.375 (34.361)	Prec@5 64.062 (64.664)
Epoch: [22][6500/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.8735 (2.7537)	Prec@1 32.812 (34.364)	Prec@5 60.938 (64.665)
Epoch: [22][6510/14090]	Time 0.768 (0.766)	Data 0.001 (0.001)	Loss 2.6678 (2.7536)	Prec@1 35.938 (34.366)	Prec@5 67.188 (64.667)
Epoch: [22][6520/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.7990 (2.7537)	Prec@1 36.719 (34.365)	Prec@5 66.406 (64.667)
Epoch: [22][6530/14090]	Time 0.852 (0.766)	Data 0.001 (0.001)	Loss 2.9070 (2.7538)	Prec@1 27.344 (34.360)	Prec@5 64.844 (64.665)
Epoch: [22][6540/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.7178 (2.7537)	Prec@1 32.031 (34.362)	Prec@5 63.281 (64.666)
Epoch: [22][6550/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.8913 (2.7537)	Prec@1 33.594 (34.362)	Prec@5 62.500 (64.665)
Epoch: [22][6560/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.9290 (2.7538)	Prec@1 25.781 (34.362)	Prec@5 64.062 (64.664)
Epoch: [22][6570/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.5950 (2.7538)	Prec@1 42.969 (34.363)	Prec@5 67.188 (64.664)
Epoch: [22][6580/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.6315 (2.7536)	Prec@1 36.719 (34.366)	Prec@5 67.969 (64.668)
Epoch: [22][6590/14090]	Time 0.773 (0.766)	Data 0.001 (0.001)	Loss 2.8065 (2.7536)	Prec@1 32.812 (34.363)	Prec@5 64.062 (64.670)
Epoch: [22][6600/14090]	Time 0.840 (0.766)	Data 0.001 (0.001)	Loss 2.5624 (2.7537)	Prec@1 42.969 (34.364)	Prec@5 69.531 (64.668)
Epoch: [22][6610/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.8670 (2.7536)	Prec@1 32.031 (34.365)	Prec@5 64.844 (64.669)
Epoch: [22][6620/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.6142 (2.7537)	Prec@1 42.188 (34.364)	Prec@5 68.750 (64.668)
Epoch: [22][6630/14090]	Time 0.767 (0.766)	Data 0.001 (0.001)	Loss 2.5211 (2.7536)	Prec@1 40.625 (34.366)	Prec@5 66.406 (64.667)
Epoch: [22][6640/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.6869 (2.7536)	Prec@1 32.812 (34.366)	Prec@5 65.625 (64.667)
Epoch: [22][6650/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 2.7520 (2.7537)	Prec@1 40.625 (34.368)	Prec@5 65.625 (64.666)
Epoch: [22][6660/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.9293 (2.7538)	Prec@1 26.562 (34.364)	Prec@5 60.938 (64.663)
Epoch: [22][6670/14090]	Time 0.860 (0.766)	Data 0.001 (0.001)	Loss 2.6175 (2.7538)	Prec@1 38.281 (34.366)	Prec@5 62.500 (64.663)
Epoch: [22][6680/14090]	Time 0.773 (0.766)	Data 0.001 (0.001)	Loss 2.8774 (2.7539)	Prec@1 35.156 (34.363)	Prec@5 60.938 (64.661)
Epoch: [22][6690/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.6802 (2.7540)	Prec@1 35.938 (34.363)	Prec@5 65.625 (64.660)
Epoch: [22][6700/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.7718 (2.7540)	Prec@1 32.812 (34.362)	Prec@5 59.375 (64.658)
Epoch: [22][6710/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.7392 (2.7540)	Prec@1 38.281 (34.363)	Prec@5 67.188 (64.659)
Epoch: [22][6720/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 2.6567 (2.7540)	Prec@1 37.500 (34.363)	Prec@5 66.406 (64.661)
Epoch: [22][6730/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.8700 (2.7540)	Prec@1 35.938 (34.364)	Prec@5 65.625 (64.659)
Epoch: [22][6740/14090]	Time 0.859 (0.766)	Data 0.001 (0.001)	Loss 2.7536 (2.7539)	Prec@1 39.062 (34.367)	Prec@5 63.281 (64.662)
Epoch: [22][6750/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.9041 (2.7540)	Prec@1 32.812 (34.366)	Prec@5 59.375 (64.660)
Epoch: [22][6760/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 2.5405 (2.7540)	Prec@1 36.719 (34.363)	Prec@5 64.844 (64.661)
Epoch: [22][6770/14090]	Time 0.772 (0.766)	Data 0.001 (0.001)	Loss 2.9097 (2.7541)	Prec@1 33.594 (34.365)	Prec@5 61.719 (64.659)
Epoch: [22][6780/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.7448 (2.7541)	Prec@1 35.156 (34.363)	Prec@5 64.844 (64.658)
Epoch: [22][6790/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.4899 (2.7541)	Prec@1 36.719 (34.361)	Prec@5 67.188 (64.657)
Epoch: [22][6800/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.7942 (2.7542)	Prec@1 30.469 (34.360)	Prec@5 64.844 (64.656)
Epoch: [22][6810/14090]	Time 0.855 (0.766)	Data 0.001 (0.001)	Loss 2.5162 (2.7542)	Prec@1 41.406 (34.361)	Prec@5 71.094 (64.653)
Epoch: [22][6820/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 3.0568 (2.7543)	Prec@1 26.562 (34.358)	Prec@5 62.500 (64.652)
Epoch: [22][6830/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.4869 (2.7542)	Prec@1 44.531 (34.361)	Prec@5 67.969 (64.655)
Epoch: [22][6840/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.9477 (2.7541)	Prec@1 28.125 (34.364)	Prec@5 62.500 (64.657)
Epoch: [22][6850/14090]	Time 0.721 (0.766)	Data 0.001 (0.001)	Loss 2.4404 (2.7541)	Prec@1 39.062 (34.363)	Prec@5 75.000 (64.659)
Epoch: [22][6860/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.9636 (2.7540)	Prec@1 32.031 (34.365)	Prec@5 60.156 (64.660)
Epoch: [22][6870/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.6681 (2.7539)	Prec@1 38.281 (34.365)	Prec@5 68.750 (64.660)
Epoch: [22][6880/14090]	Time 0.872 (0.766)	Data 0.001 (0.001)	Loss 2.7090 (2.7538)	Prec@1 32.812 (34.367)	Prec@5 66.406 (64.661)
Epoch: [22][6890/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.6337 (2.7539)	Prec@1 39.844 (34.368)	Prec@5 65.625 (64.659)
Epoch: [22][6900/14090]	Time 0.780 (0.766)	Data 0.001 (0.001)	Loss 2.4997 (2.7540)	Prec@1 39.062 (34.366)	Prec@5 68.750 (64.659)
Epoch: [22][6910/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 3.2258 (2.7540)	Prec@1 25.781 (34.365)	Prec@5 58.594 (64.660)
Epoch: [22][6920/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 2.9146 (2.7541)	Prec@1 30.469 (34.366)	Prec@5 62.500 (64.661)
Epoch: [22][6930/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.8022 (2.7541)	Prec@1 36.719 (34.366)	Prec@5 64.062 (64.661)
Epoch: [22][6940/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 2.2062 (2.7541)	Prec@1 40.625 (34.365)	Prec@5 73.438 (64.660)
Epoch: [22][6950/14090]	Time 0.866 (0.766)	Data 0.001 (0.001)	Loss 2.8713 (2.7540)	Prec@1 28.906 (34.366)	Prec@5 64.844 (64.662)
Epoch: [22][6960/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.5399 (2.7538)	Prec@1 35.938 (34.369)	Prec@5 67.188 (64.665)
Epoch: [22][6970/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.5904 (2.7537)	Prec@1 33.594 (34.370)	Prec@5 67.969 (64.669)
Epoch: [22][6980/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 2.7910 (2.7538)	Prec@1 32.031 (34.368)	Prec@5 65.625 (64.669)
Epoch: [22][6990/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.7691 (2.7538)	Prec@1 33.594 (34.366)	Prec@5 67.188 (64.668)
Epoch: [22][7000/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 2.3912 (2.7538)	Prec@1 35.938 (34.366)	Prec@5 74.219 (64.668)
Epoch: [22][7010/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.7847 (2.7538)	Prec@1 32.031 (34.366)	Prec@5 67.969 (64.670)
Epoch: [22][7020/14090]	Time 0.876 (0.766)	Data 0.001 (0.001)	Loss 2.7596 (2.7537)	Prec@1 32.812 (34.366)	Prec@5 64.844 (64.670)
Epoch: [22][7030/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.6299 (2.7535)	Prec@1 37.500 (34.368)	Prec@5 63.281 (64.674)
Epoch: [22][7040/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 2.9403 (2.7536)	Prec@1 26.562 (34.368)	Prec@5 63.281 (64.675)
Epoch: [22][7050/14090]	Time 0.777 (0.766)	Data 0.001 (0.001)	Loss 2.8830 (2.7535)	Prec@1 34.375 (34.371)	Prec@5 61.719 (64.675)
Epoch: [22][7060/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.9332 (2.7536)	Prec@1 32.812 (34.370)	Prec@5 63.281 (64.674)
Epoch: [22][7070/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.7747 (2.7535)	Prec@1 31.250 (34.372)	Prec@5 64.062 (64.674)
Epoch: [22][7080/14090]	Time 0.770 (0.766)	Data 0.001 (0.001)	Loss 2.8020 (2.7535)	Prec@1 36.719 (34.372)	Prec@5 66.406 (64.674)
Epoch: [22][7090/14090]	Time 0.835 (0.766)	Data 0.001 (0.001)	Loss 2.8069 (2.7536)	Prec@1 35.938 (34.368)	Prec@5 67.969 (64.672)
Epoch: [22][7100/14090]	Time 0.721 (0.766)	Data 0.001 (0.001)	Loss 2.4359 (2.7535)	Prec@1 40.625 (34.370)	Prec@5 71.875 (64.673)
Epoch: [22][7110/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 3.0998 (2.7536)	Prec@1 27.344 (34.367)	Prec@5 57.031 (64.669)
Epoch: [22][7120/14090]	Time 0.722 (0.766)	Data 0.001 (0.001)	Loss 2.7028 (2.7534)	Prec@1 41.406 (34.371)	Prec@5 63.281 (64.672)
Epoch: [22][7130/14090]	Time 0.768 (0.766)	Data 0.001 (0.001)	Loss 2.8091 (2.7535)	Prec@1 31.250 (34.371)	Prec@5 62.500 (64.674)
Epoch: [22][7140/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.5953 (2.7533)	Prec@1 39.844 (34.377)	Prec@5 66.406 (64.675)
Epoch: [22][7150/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.8597 (2.7534)	Prec@1 29.688 (34.373)	Prec@5 62.500 (64.674)
Epoch: [22][7160/14090]	Time 0.868 (0.766)	Data 0.001 (0.001)	Loss 2.8737 (2.7535)	Prec@1 32.812 (34.372)	Prec@5 60.156 (64.672)
Epoch: [22][7170/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.6921 (2.7534)	Prec@1 32.812 (34.374)	Prec@5 67.188 (64.674)
Epoch: [22][7180/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.9939 (2.7534)	Prec@1 30.469 (34.374)	Prec@5 59.375 (64.676)
Epoch: [22][7190/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.6077 (2.7535)	Prec@1 34.375 (34.371)	Prec@5 68.750 (64.675)
Epoch: [22][7200/14090]	Time 0.765 (0.766)	Data 0.001 (0.001)	Loss 2.7378 (2.7534)	Prec@1 36.719 (34.371)	Prec@5 66.406 (64.676)
Epoch: [22][7210/14090]	Time 0.773 (0.766)	Data 0.001 (0.001)	Loss 2.6250 (2.7534)	Prec@1 38.281 (34.372)	Prec@5 65.625 (64.673)
Epoch: [22][7220/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.6358 (2.7534)	Prec@1 41.406 (34.372)	Prec@5 64.844 (64.674)
Epoch: [22][7230/14090]	Time 0.869 (0.766)	Data 0.001 (0.001)	Loss 2.7329 (2.7535)	Prec@1 37.500 (34.372)	Prec@5 70.312 (64.671)
Epoch: [22][7240/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.5953 (2.7535)	Prec@1 35.156 (34.372)	Prec@5 67.969 (64.672)
Epoch: [22][7250/14090]	Time 0.783 (0.766)	Data 0.001 (0.001)	Loss 2.9289 (2.7535)	Prec@1 31.250 (34.374)	Prec@5 57.812 (64.672)
Epoch: [22][7260/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.8111 (2.7536)	Prec@1 32.812 (34.374)	Prec@5 64.844 (64.670)
Epoch: [22][7270/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.5535 (2.7535)	Prec@1 39.844 (34.377)	Prec@5 67.969 (64.671)
Epoch: [22][7280/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 3.0087 (2.7535)	Prec@1 35.156 (34.380)	Prec@5 63.281 (64.672)
Epoch: [22][7290/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.9570 (2.7536)	Prec@1 25.000 (34.378)	Prec@5 61.719 (64.672)
Epoch: [22][7300/14090]	Time 0.842 (0.766)	Data 0.001 (0.001)	Loss 2.7899 (2.7537)	Prec@1 30.469 (34.376)	Prec@5 67.188 (64.669)
Epoch: [22][7310/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.9268 (2.7537)	Prec@1 28.906 (34.374)	Prec@5 60.156 (64.671)
Epoch: [22][7320/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.7882 (2.7536)	Prec@1 35.156 (34.375)	Prec@5 67.188 (64.672)
Epoch: [22][7330/14090]	Time 0.775 (0.766)	Data 0.001 (0.001)	Loss 2.6956 (2.7536)	Prec@1 35.938 (34.376)	Prec@5 66.406 (64.674)
Epoch: [22][7340/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.6340 (2.7535)	Prec@1 31.250 (34.377)	Prec@5 68.750 (64.674)
Epoch: [22][7350/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.7789 (2.7535)	Prec@1 37.500 (34.379)	Prec@5 66.406 (64.678)
Epoch: [22][7360/14090]	Time 0.769 (0.766)	Data 0.001 (0.001)	Loss 2.5306 (2.7534)	Prec@1 36.719 (34.377)	Prec@5 68.750 (64.678)
Epoch: [22][7370/14090]	Time 0.880 (0.766)	Data 0.001 (0.001)	Loss 2.8131 (2.7535)	Prec@1 35.156 (34.374)	Prec@5 63.281 (64.677)
Epoch: [22][7380/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.7616 (2.7536)	Prec@1 25.000 (34.372)	Prec@5 64.844 (64.677)
Epoch: [22][7390/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.7286 (2.7537)	Prec@1 39.844 (34.372)	Prec@5 69.531 (64.676)
Epoch: [22][7400/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.5038 (2.7537)	Prec@1 41.406 (34.374)	Prec@5 67.969 (64.677)
Epoch: [22][7410/14090]	Time 0.719 (0.766)	Data 0.001 (0.001)	Loss 2.8319 (2.7537)	Prec@1 26.562 (34.373)	Prec@5 60.938 (64.677)
Epoch: [22][7420/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.6537 (2.7537)	Prec@1 32.812 (34.370)	Prec@5 68.750 (64.676)
Epoch: [22][7430/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.6263 (2.7539)	Prec@1 35.156 (34.370)	Prec@5 63.281 (64.674)
Epoch: [22][7440/14090]	Time 0.884 (0.766)	Data 0.001 (0.001)	Loss 2.7982 (2.7538)	Prec@1 41.406 (34.374)	Prec@5 58.594 (64.674)
Epoch: [22][7450/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 3.0447 (2.7538)	Prec@1 30.469 (34.373)	Prec@5 61.719 (64.675)
Epoch: [22][7460/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.7973 (2.7538)	Prec@1 36.719 (34.374)	Prec@5 63.281 (64.675)
Epoch: [22][7470/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.8232 (2.7538)	Prec@1 34.375 (34.374)	Prec@5 60.156 (64.674)
Epoch: [22][7480/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.8934 (2.7537)	Prec@1 32.812 (34.375)	Prec@5 65.625 (64.677)
Epoch: [22][7490/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 2.6180 (2.7537)	Prec@1 33.594 (34.376)	Prec@5 68.750 (64.678)
Epoch: [22][7500/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.6761 (2.7537)	Prec@1 31.250 (34.375)	Prec@5 65.625 (64.677)
Epoch: [22][7510/14090]	Time 0.850 (0.766)	Data 0.001 (0.001)	Loss 3.0620 (2.7538)	Prec@1 26.562 (34.373)	Prec@5 56.250 (64.673)
Epoch: [22][7520/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.7600 (2.7538)	Prec@1 33.594 (34.373)	Prec@5 66.406 (64.677)
Epoch: [22][7530/14090]	Time 0.769 (0.766)	Data 0.001 (0.001)	Loss 2.8146 (2.7538)	Prec@1 33.594 (34.374)	Prec@5 61.719 (64.679)
Epoch: [22][7540/14090]	Time 0.784 (0.766)	Data 0.001 (0.001)	Loss 2.9491 (2.7538)	Prec@1 21.875 (34.373)	Prec@5 57.031 (64.679)
Epoch: [22][7550/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.9390 (2.7539)	Prec@1 27.344 (34.371)	Prec@5 60.938 (64.679)
Epoch: [22][7560/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.7834 (2.7539)	Prec@1 35.156 (34.370)	Prec@5 64.844 (64.677)
Epoch: [22][7570/14090]	Time 0.787 (0.766)	Data 0.001 (0.001)	Loss 2.4861 (2.7539)	Prec@1 38.281 (34.374)	Prec@5 71.094 (64.677)
Epoch: [22][7580/14090]	Time 0.864 (0.766)	Data 0.001 (0.001)	Loss 2.6736 (2.7539)	Prec@1 33.594 (34.373)	Prec@5 67.188 (64.677)
Epoch: [22][7590/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.9023 (2.7540)	Prec@1 26.562 (34.371)	Prec@5 62.500 (64.676)
Epoch: [22][7600/14090]	Time 0.771 (0.766)	Data 0.001 (0.001)	Loss 3.0469 (2.7540)	Prec@1 31.250 (34.372)	Prec@5 60.938 (64.677)
Epoch: [22][7610/14090]	Time 0.770 (0.766)	Data 0.001 (0.001)	Loss 2.7239 (2.7540)	Prec@1 36.719 (34.370)	Prec@5 66.406 (64.675)
Epoch: [22][7620/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 3.1350 (2.7540)	Prec@1 29.688 (34.374)	Prec@5 57.031 (64.676)
Epoch: [22][7630/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.6767 (2.7539)	Prec@1 37.500 (34.373)	Prec@5 64.844 (64.677)
Epoch: [22][7640/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.9367 (2.7539)	Prec@1 28.906 (34.373)	Prec@5 59.375 (64.676)
Epoch: [22][7650/14090]	Time 0.852 (0.766)	Data 0.001 (0.001)	Loss 2.8977 (2.7539)	Prec@1 32.031 (34.374)	Prec@5 58.594 (64.675)
Epoch: [22][7660/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.9322 (2.7541)	Prec@1 31.250 (34.368)	Prec@5 59.375 (64.671)
Epoch: [22][7670/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.9076 (2.7541)	Prec@1 33.594 (34.365)	Prec@5 62.500 (64.669)
Epoch: [22][7680/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.6453 (2.7542)	Prec@1 36.719 (34.366)	Prec@5 67.969 (64.668)
Epoch: [22][7690/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.6558 (2.7543)	Prec@1 32.031 (34.363)	Prec@5 63.281 (64.668)
Epoch: [22][7700/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.9239 (2.7544)	Prec@1 35.938 (34.362)	Prec@5 60.156 (64.664)
Epoch: [22][7710/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 2.4787 (2.7543)	Prec@1 39.062 (34.363)	Prec@5 71.094 (64.665)
Epoch: [22][7720/14090]	Time 0.842 (0.766)	Data 0.001 (0.001)	Loss 2.4873 (2.7542)	Prec@1 37.500 (34.365)	Prec@5 66.406 (64.667)
Epoch: [22][7730/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.9085 (2.7542)	Prec@1 33.594 (34.366)	Prec@5 58.594 (64.667)
Epoch: [22][7740/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.7225 (2.7543)	Prec@1 35.156 (34.366)	Prec@5 64.844 (64.665)
Epoch: [22][7750/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.8521 (2.7542)	Prec@1 30.469 (34.364)	Prec@5 61.719 (64.664)
Epoch: [22][7760/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.7475 (2.7542)	Prec@1 35.938 (34.365)	Prec@5 58.594 (64.665)
Epoch: [22][7770/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.7409 (2.7543)	Prec@1 35.938 (34.364)	Prec@5 64.062 (64.664)
Epoch: [22][7780/14090]	Time 0.772 (0.766)	Data 0.001 (0.001)	Loss 3.0024 (2.7543)	Prec@1 31.250 (34.361)	Prec@5 58.594 (64.663)
Epoch: [22][7790/14090]	Time 0.883 (0.766)	Data 0.001 (0.001)	Loss 3.1713 (2.7544)	Prec@1 31.250 (34.360)	Prec@5 52.344 (64.660)
Epoch: [22][7800/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.8790 (2.7544)	Prec@1 28.906 (34.359)	Prec@5 60.938 (64.660)
Epoch: [22][7810/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.6645 (2.7544)	Prec@1 33.594 (34.358)	Prec@5 67.188 (64.658)
Epoch: [22][7820/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 3.1671 (2.7544)	Prec@1 31.250 (34.358)	Prec@5 54.688 (64.658)
Epoch: [22][7830/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.6422 (2.7543)	Prec@1 35.938 (34.359)	Prec@5 70.312 (64.661)
Epoch: [22][7840/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.3472 (2.7542)	Prec@1 42.969 (34.359)	Prec@5 75.000 (64.663)
Epoch: [22][7850/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.5251 (2.7542)	Prec@1 39.062 (34.362)	Prec@5 67.969 (64.664)
Epoch: [22][7860/14090]	Time 0.884 (0.766)	Data 0.001 (0.001)	Loss 2.5674 (2.7541)	Prec@1 36.719 (34.362)	Prec@5 74.219 (64.665)
Epoch: [22][7870/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.7349 (2.7542)	Prec@1 33.594 (34.362)	Prec@5 57.812 (64.663)
Epoch: [22][7880/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.5553 (2.7542)	Prec@1 32.812 (34.361)	Prec@5 70.312 (64.662)
Epoch: [22][7890/14090]	Time 0.783 (0.766)	Data 0.001 (0.001)	Loss 3.0371 (2.7543)	Prec@1 28.906 (34.359)	Prec@5 53.906 (64.660)
Epoch: [22][7900/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 2.7996 (2.7544)	Prec@1 35.938 (34.357)	Prec@5 66.406 (64.659)
Epoch: [22][7910/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.6291 (2.7543)	Prec@1 37.500 (34.357)	Prec@5 70.312 (64.660)
Epoch: [22][7920/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.7759 (2.7543)	Prec@1 37.500 (34.358)	Prec@5 69.531 (64.661)
Epoch: [22][7930/14090]	Time 0.850 (0.766)	Data 0.001 (0.001)	Loss 2.8203 (2.7543)	Prec@1 29.688 (34.359)	Prec@5 63.281 (64.661)
Epoch: [22][7940/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 2.7591 (2.7543)	Prec@1 32.031 (34.359)	Prec@5 63.281 (64.661)
Epoch: [22][7950/14090]	Time 0.757 (0.766)	Data 0.002 (0.001)	Loss 2.6054 (2.7542)	Prec@1 34.375 (34.362)	Prec@5 69.531 (64.662)
Epoch: [22][7960/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.6555 (2.7542)	Prec@1 32.812 (34.361)	Prec@5 68.750 (64.661)
Epoch: [22][7970/14090]	Time 0.739 (0.766)	Data 0.002 (0.001)	Loss 2.8245 (2.7543)	Prec@1 35.156 (34.361)	Prec@5 62.500 (64.658)
Epoch: [22][7980/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.7702 (2.7543)	Prec@1 33.594 (34.361)	Prec@5 60.938 (64.657)
Epoch: [22][7990/14090]	Time 0.778 (0.766)	Data 0.001 (0.001)	Loss 2.9167 (2.7543)	Prec@1 35.156 (34.362)	Prec@5 60.938 (64.657)
Epoch: [22][8000/14090]	Time 0.853 (0.766)	Data 0.001 (0.001)	Loss 2.7753 (2.7543)	Prec@1 35.156 (34.362)	Prec@5 66.406 (64.658)
Epoch: [22][8010/14090]	Time 0.724 (0.766)	Data 0.001 (0.001)	Loss 2.5887 (2.7543)	Prec@1 35.938 (34.361)	Prec@5 69.531 (64.660)
Epoch: [22][8020/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.2849 (2.7541)	Prec@1 42.188 (34.366)	Prec@5 71.875 (64.663)
Epoch: [22][8030/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.8586 (2.7541)	Prec@1 27.344 (34.364)	Prec@5 60.156 (64.664)
Epoch: [22][8040/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.8365 (2.7540)	Prec@1 32.031 (34.362)	Prec@5 62.500 (64.664)
Epoch: [22][8050/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.8215 (2.7541)	Prec@1 36.719 (34.360)	Prec@5 64.844 (64.662)
Epoch: [22][8060/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 2.6292 (2.7542)	Prec@1 30.469 (34.358)	Prec@5 65.625 (64.661)
Epoch: [22][8070/14090]	Time 0.852 (0.766)	Data 0.001 (0.001)	Loss 2.7579 (2.7543)	Prec@1 39.844 (34.356)	Prec@5 62.500 (64.659)
Epoch: [22][8080/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.6325 (2.7542)	Prec@1 35.938 (34.358)	Prec@5 65.625 (64.660)
Epoch: [22][8090/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.9180 (2.7542)	Prec@1 29.688 (34.358)	Prec@5 61.719 (64.660)
Epoch: [22][8100/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.5329 (2.7542)	Prec@1 37.500 (34.357)	Prec@5 69.531 (64.661)
Epoch: [22][8110/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.7710 (2.7542)	Prec@1 31.250 (34.356)	Prec@5 64.062 (64.661)
Epoch: [22][8120/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.8371 (2.7542)	Prec@1 28.125 (34.356)	Prec@5 63.281 (64.662)
Epoch: [22][8130/14090]	Time 0.770 (0.765)	Data 0.001 (0.001)	Loss 2.7346 (2.7542)	Prec@1 31.250 (34.354)	Prec@5 65.625 (64.663)
Epoch: [22][8140/14090]	Time 0.842 (0.765)	Data 0.001 (0.001)	Loss 2.5400 (2.7543)	Prec@1 41.406 (34.353)	Prec@5 69.531 (64.659)
Epoch: [22][8150/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.8884 (2.7544)	Prec@1 31.250 (34.353)	Prec@5 64.062 (64.657)
Epoch: [22][8160/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.7972 (2.7544)	Prec@1 32.812 (34.352)	Prec@5 67.969 (64.657)
Epoch: [22][8170/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.8760 (2.7544)	Prec@1 32.031 (34.355)	Prec@5 63.281 (64.658)
Epoch: [22][8180/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 2.5694 (2.7542)	Prec@1 34.375 (34.359)	Prec@5 65.625 (64.663)
Epoch: [22][8190/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.7442 (2.7541)	Prec@1 33.594 (34.360)	Prec@5 66.406 (64.664)
Epoch: [22][8200/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 2.6697 (2.7541)	Prec@1 37.500 (34.364)	Prec@5 68.750 (64.665)
Epoch: [22][8210/14090]	Time 0.912 (0.765)	Data 0.001 (0.001)	Loss 2.8191 (2.7540)	Prec@1 41.406 (34.365)	Prec@5 61.719 (64.665)
Epoch: [22][8220/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.8722 (2.7540)	Prec@1 32.031 (34.365)	Prec@5 57.031 (64.666)
Epoch: [22][8230/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.9651 (2.7540)	Prec@1 34.375 (34.364)	Prec@5 62.500 (64.665)
Epoch: [22][8240/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 2.9387 (2.7541)	Prec@1 35.938 (34.363)	Prec@5 57.031 (64.663)
Epoch: [22][8250/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.7234 (2.7541)	Prec@1 37.500 (34.362)	Prec@5 68.750 (64.662)
Epoch: [22][8260/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.4906 (2.7541)	Prec@1 39.844 (34.361)	Prec@5 71.094 (64.660)
Epoch: [22][8270/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.7770 (2.7542)	Prec@1 35.938 (34.361)	Prec@5 67.969 (64.661)
Epoch: [22][8280/14090]	Time 0.894 (0.765)	Data 0.001 (0.001)	Loss 2.8964 (2.7542)	Prec@1 28.125 (34.358)	Prec@5 57.812 (64.657)
Epoch: [22][8290/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.6521 (2.7543)	Prec@1 32.031 (34.358)	Prec@5 71.875 (64.657)
Epoch: [22][8300/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.7374 (2.7542)	Prec@1 39.844 (34.361)	Prec@5 67.188 (64.657)
Epoch: [22][8310/14090]	Time 0.721 (0.765)	Data 0.001 (0.001)	Loss 2.8602 (2.7543)	Prec@1 35.156 (34.362)	Prec@5 61.719 (64.655)
Epoch: [22][8320/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.9415 (2.7543)	Prec@1 29.688 (34.361)	Prec@5 61.719 (64.655)
Epoch: [22][8330/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.7675 (2.7543)	Prec@1 35.156 (34.360)	Prec@5 67.188 (64.655)
Epoch: [22][8340/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.6503 (2.7542)	Prec@1 40.625 (34.360)	Prec@5 65.625 (64.656)
Epoch: [22][8350/14090]	Time 0.848 (0.765)	Data 0.001 (0.001)	Loss 2.7616 (2.7543)	Prec@1 34.375 (34.359)	Prec@5 66.406 (64.658)
Epoch: [22][8360/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.6733 (2.7543)	Prec@1 38.281 (34.358)	Prec@5 66.406 (64.656)
Epoch: [22][8370/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 2.7508 (2.7543)	Prec@1 35.156 (34.360)	Prec@5 66.406 (64.658)
Epoch: [22][8380/14090]	Time 0.767 (0.765)	Data 0.001 (0.001)	Loss 2.4570 (2.7543)	Prec@1 35.156 (34.360)	Prec@5 69.531 (64.659)
Epoch: [22][8390/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.8162 (2.7542)	Prec@1 29.688 (34.360)	Prec@5 61.719 (64.660)
Epoch: [22][8400/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.6749 (2.7543)	Prec@1 35.938 (34.359)	Prec@5 67.969 (64.660)
Epoch: [22][8410/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.6195 (2.7542)	Prec@1 43.750 (34.362)	Prec@5 66.406 (64.659)
Epoch: [22][8420/14090]	Time 0.879 (0.765)	Data 0.001 (0.001)	Loss 2.8602 (2.7542)	Prec@1 31.250 (34.362)	Prec@5 60.156 (64.659)
Epoch: [22][8430/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.5664 (2.7542)	Prec@1 38.281 (34.360)	Prec@5 73.438 (64.660)
Epoch: [22][8440/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 3.0760 (2.7543)	Prec@1 32.812 (34.361)	Prec@5 60.938 (64.659)
Epoch: [22][8450/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.7417 (2.7542)	Prec@1 31.250 (34.361)	Prec@5 67.969 (64.660)
Epoch: [22][8460/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.7291 (2.7542)	Prec@1 35.938 (34.362)	Prec@5 66.406 (64.661)
Epoch: [22][8470/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.7877 (2.7542)	Prec@1 36.719 (34.362)	Prec@5 64.844 (64.660)
Epoch: [22][8480/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.9569 (2.7544)	Prec@1 28.125 (34.358)	Prec@5 58.594 (64.656)
Epoch: [22][8490/14090]	Time 0.846 (0.765)	Data 0.001 (0.001)	Loss 2.4092 (2.7543)	Prec@1 39.062 (34.359)	Prec@5 73.438 (64.658)
Epoch: [22][8500/14090]	Time 0.780 (0.765)	Data 0.001 (0.001)	Loss 2.6605 (2.7543)	Prec@1 34.375 (34.358)	Prec@5 67.969 (64.657)
Epoch: [22][8510/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 2.4985 (2.7544)	Prec@1 38.281 (34.356)	Prec@5 67.969 (64.656)
Epoch: [22][8520/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.6398 (2.7544)	Prec@1 33.594 (34.357)	Prec@5 63.281 (64.654)
Epoch: [22][8530/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.7887 (2.7544)	Prec@1 35.938 (34.358)	Prec@5 61.719 (64.654)
Epoch: [22][8540/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.8063 (2.7544)	Prec@1 29.688 (34.360)	Prec@5 59.375 (64.653)
Epoch: [22][8550/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.5684 (2.7544)	Prec@1 40.625 (34.359)	Prec@5 68.750 (64.654)
Epoch: [22][8560/14090]	Time 0.846 (0.765)	Data 0.001 (0.001)	Loss 2.5869 (2.7544)	Prec@1 37.500 (34.357)	Prec@5 68.750 (64.653)
Epoch: [22][8570/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 2.5796 (2.7544)	Prec@1 36.719 (34.357)	Prec@5 67.188 (64.651)
Epoch: [22][8580/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.4276 (2.7544)	Prec@1 36.719 (34.357)	Prec@5 75.781 (64.652)
Epoch: [22][8590/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.8838 (2.7545)	Prec@1 35.156 (34.355)	Prec@5 65.625 (64.649)
Epoch: [22][8600/14090]	Time 0.804 (0.765)	Data 0.001 (0.001)	Loss 2.7934 (2.7545)	Prec@1 31.250 (34.355)	Prec@5 61.719 (64.647)
Epoch: [22][8610/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.6608 (2.7546)	Prec@1 36.719 (34.356)	Prec@5 64.844 (64.648)
Epoch: [22][8620/14090]	Time 0.766 (0.765)	Data 0.001 (0.001)	Loss 2.9872 (2.7546)	Prec@1 34.375 (34.355)	Prec@5 56.250 (64.645)
Epoch: [22][8630/14090]	Time 0.861 (0.765)	Data 0.001 (0.001)	Loss 2.9538 (2.7547)	Prec@1 28.906 (34.352)	Prec@5 65.625 (64.645)
Epoch: [22][8640/14090]	Time 0.758 (0.765)	Data 0.003 (0.001)	Loss 2.8260 (2.7548)	Prec@1 39.844 (34.350)	Prec@5 60.938 (64.643)
Epoch: [22][8650/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.8980 (2.7548)	Prec@1 30.469 (34.346)	Prec@5 63.281 (64.643)
Epoch: [22][8660/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.7735 (2.7547)	Prec@1 34.375 (34.347)	Prec@5 67.969 (64.645)
Epoch: [22][8670/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.9302 (2.7548)	Prec@1 28.125 (34.344)	Prec@5 62.500 (64.645)
Epoch: [22][8680/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.9314 (2.7548)	Prec@1 33.594 (34.342)	Prec@5 63.281 (64.642)
Epoch: [22][8690/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.5367 (2.7548)	Prec@1 38.281 (34.341)	Prec@5 64.844 (64.643)
Epoch: [22][8700/14090]	Time 0.878 (0.765)	Data 0.001 (0.001)	Loss 2.5237 (2.7547)	Prec@1 29.688 (34.343)	Prec@5 69.531 (64.644)
Epoch: [22][8710/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.7729 (2.7548)	Prec@1 33.594 (34.340)	Prec@5 64.062 (64.642)
Epoch: [22][8720/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.8426 (2.7549)	Prec@1 33.594 (34.337)	Prec@5 60.938 (64.640)
Epoch: [22][8730/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.6815 (2.7549)	Prec@1 35.156 (34.339)	Prec@5 64.844 (64.640)
Epoch: [22][8740/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.6330 (2.7548)	Prec@1 35.156 (34.338)	Prec@5 64.062 (64.639)
Epoch: [22][8750/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.5775 (2.7549)	Prec@1 32.812 (34.338)	Prec@5 69.531 (64.638)
Epoch: [22][8760/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.5235 (2.7549)	Prec@1 40.625 (34.339)	Prec@5 67.969 (64.637)
Epoch: [22][8770/14090]	Time 0.868 (0.765)	Data 0.001 (0.001)	Loss 2.6718 (2.7549)	Prec@1 35.156 (34.340)	Prec@5 69.531 (64.638)
Epoch: [22][8780/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.5204 (2.7550)	Prec@1 45.312 (34.341)	Prec@5 68.750 (64.638)
Epoch: [22][8790/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.5316 (2.7550)	Prec@1 42.188 (34.341)	Prec@5 69.531 (64.637)
Epoch: [22][8800/14090]	Time 0.790 (0.765)	Data 0.001 (0.001)	Loss 2.8764 (2.7552)	Prec@1 28.906 (34.339)	Prec@5 63.281 (64.634)
Epoch: [22][8810/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.8591 (2.7552)	Prec@1 37.500 (34.341)	Prec@5 60.938 (64.635)
Epoch: [22][8820/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.4878 (2.7552)	Prec@1 43.750 (34.342)	Prec@5 68.750 (64.634)
Epoch: [22][8830/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.7103 (2.7551)	Prec@1 33.594 (34.343)	Prec@5 67.188 (64.633)
Epoch: [22][8840/14090]	Time 0.858 (0.765)	Data 0.001 (0.001)	Loss 2.4813 (2.7551)	Prec@1 37.500 (34.343)	Prec@5 75.000 (64.634)
Epoch: [22][8850/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.7546 (2.7551)	Prec@1 28.906 (34.341)	Prec@5 66.406 (64.634)
Epoch: [22][8860/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 2.9479 (2.7551)	Prec@1 28.906 (34.342)	Prec@5 63.281 (64.634)
Epoch: [22][8870/14090]	Time 0.776 (0.765)	Data 0.001 (0.001)	Loss 2.7129 (2.7550)	Prec@1 38.281 (34.345)	Prec@5 67.188 (64.636)
Epoch: [22][8880/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.6346 (2.7550)	Prec@1 35.938 (34.345)	Prec@5 69.531 (64.636)
Epoch: [22][8890/14090]	Time 0.768 (0.765)	Data 0.001 (0.001)	Loss 2.7200 (2.7550)	Prec@1 35.938 (34.345)	Prec@5 67.188 (64.636)
Epoch: [22][8900/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.9380 (2.7550)	Prec@1 28.906 (34.344)	Prec@5 60.156 (64.636)
Epoch: [22][8910/14090]	Time 0.857 (0.765)	Data 0.001 (0.001)	Loss 3.0261 (2.7551)	Prec@1 35.156 (34.345)	Prec@5 60.938 (64.632)
Epoch: [22][8920/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.5880 (2.7551)	Prec@1 45.312 (34.345)	Prec@5 69.531 (64.633)
Epoch: [22][8930/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.6773 (2.7551)	Prec@1 39.062 (34.346)	Prec@5 63.281 (64.633)
Epoch: [22][8940/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.4723 (2.7551)	Prec@1 39.062 (34.348)	Prec@5 69.531 (64.631)
Epoch: [22][8950/14090]	Time 0.786 (0.765)	Data 0.001 (0.001)	Loss 2.9035 (2.7552)	Prec@1 29.688 (34.345)	Prec@5 63.281 (64.631)
Epoch: [22][8960/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.8521 (2.7552)	Prec@1 31.250 (34.346)	Prec@5 64.062 (64.633)
Epoch: [22][8970/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.9483 (2.7552)	Prec@1 27.344 (34.345)	Prec@5 57.812 (64.633)
Epoch: [22][8980/14090]	Time 0.873 (0.765)	Data 0.001 (0.001)	Loss 2.8138 (2.7552)	Prec@1 31.250 (34.343)	Prec@5 60.938 (64.632)
Epoch: [22][8990/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.8501 (2.7552)	Prec@1 35.156 (34.345)	Prec@5 64.844 (64.632)
Epoch: [22][9000/14090]	Time 0.776 (0.765)	Data 0.001 (0.001)	Loss 2.8149 (2.7551)	Prec@1 35.938 (34.347)	Prec@5 62.500 (64.633)
Epoch: [22][9010/14090]	Time 0.770 (0.765)	Data 0.001 (0.001)	Loss 2.5524 (2.7551)	Prec@1 37.500 (34.346)	Prec@5 67.969 (64.633)
Epoch: [22][9020/14090]	Time 0.775 (0.765)	Data 0.001 (0.001)	Loss 2.6794 (2.7551)	Prec@1 37.500 (34.348)	Prec@5 67.969 (64.634)
Epoch: [22][9030/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.7527 (2.7550)	Prec@1 32.812 (34.349)	Prec@5 64.844 (64.634)
Epoch: [22][9040/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.7605 (2.7551)	Prec@1 31.250 (34.347)	Prec@5 65.625 (64.634)
Epoch: [22][9050/14090]	Time 0.881 (0.765)	Data 0.001 (0.001)	Loss 3.1744 (2.7550)	Prec@1 31.250 (34.347)	Prec@5 55.469 (64.632)
Epoch: [22][9060/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.6370 (2.7551)	Prec@1 35.938 (34.344)	Prec@5 73.438 (64.633)
Epoch: [22][9070/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.4913 (2.7551)	Prec@1 39.844 (34.343)	Prec@5 75.781 (64.634)
Epoch: [22][9080/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.7242 (2.7552)	Prec@1 35.156 (34.340)	Prec@5 65.625 (64.633)
Epoch: [22][9090/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 2.7800 (2.7552)	Prec@1 35.938 (34.340)	Prec@5 68.750 (64.634)
Epoch: [22][9100/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.8474 (2.7552)	Prec@1 34.375 (34.339)	Prec@5 60.156 (64.633)
Epoch: [22][9110/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.7873 (2.7553)	Prec@1 32.812 (34.337)	Prec@5 66.406 (64.631)
Epoch: [22][9120/14090]	Time 0.883 (0.765)	Data 0.001 (0.001)	Loss 2.9525 (2.7552)	Prec@1 33.594 (34.339)	Prec@5 63.281 (64.634)
Epoch: [22][9130/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.7619 (2.7551)	Prec@1 34.375 (34.340)	Prec@5 61.719 (64.635)
Epoch: [22][9140/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.7724 (2.7551)	Prec@1 39.062 (34.339)	Prec@5 62.500 (64.635)
Epoch: [22][9150/14090]	Time 0.781 (0.765)	Data 0.001 (0.001)	Loss 2.6616 (2.7551)	Prec@1 38.281 (34.339)	Prec@5 62.500 (64.633)
Epoch: [22][9160/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.5455 (2.7551)	Prec@1 39.062 (34.340)	Prec@5 66.406 (64.634)
Epoch: [22][9170/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.8032 (2.7551)	Prec@1 36.719 (34.340)	Prec@5 67.969 (64.635)
Epoch: [22][9180/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.8895 (2.7551)	Prec@1 37.500 (34.340)	Prec@5 63.281 (64.635)
Epoch: [22][9190/14090]	Time 0.861 (0.765)	Data 0.001 (0.001)	Loss 2.6103 (2.7551)	Prec@1 38.281 (34.341)	Prec@5 64.844 (64.636)
Epoch: [22][9200/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.8887 (2.7551)	Prec@1 33.594 (34.340)	Prec@5 60.938 (64.637)
Epoch: [22][9210/14090]	Time 0.779 (0.765)	Data 0.001 (0.001)	Loss 2.7098 (2.7551)	Prec@1 38.281 (34.341)	Prec@5 64.062 (64.638)
Epoch: [22][9220/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.8490 (2.7550)	Prec@1 28.906 (34.342)	Prec@5 62.500 (64.638)
Epoch: [22][9230/14090]	Time 0.778 (0.765)	Data 0.001 (0.001)	Loss 2.5233 (2.7549)	Prec@1 39.062 (34.343)	Prec@5 67.969 (64.638)
Epoch: [22][9240/14090]	Time 0.771 (0.765)	Data 0.001 (0.001)	Loss 2.8202 (2.7550)	Prec@1 39.062 (34.342)	Prec@5 64.062 (64.638)
Epoch: [22][9250/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.7759 (2.7551)	Prec@1 33.594 (34.339)	Prec@5 64.844 (64.636)
Epoch: [22][9260/14090]	Time 0.874 (0.765)	Data 0.001 (0.001)	Loss 2.6825 (2.7551)	Prec@1 39.844 (34.337)	Prec@5 68.750 (64.637)
Epoch: [22][9270/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.6049 (2.7552)	Prec@1 33.594 (34.336)	Prec@5 64.062 (64.633)
Epoch: [22][9280/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.8266 (2.7552)	Prec@1 39.844 (34.339)	Prec@5 68.750 (64.634)
Epoch: [22][9290/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.9494 (2.7552)	Prec@1 32.812 (34.340)	Prec@5 57.031 (64.635)
Epoch: [22][9300/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.7857 (2.7552)	Prec@1 24.219 (34.338)	Prec@5 64.062 (64.635)
Epoch: [22][9310/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.8920 (2.7552)	Prec@1 33.594 (34.338)	Prec@5 60.938 (64.637)
Epoch: [22][9320/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 3.0971 (2.7551)	Prec@1 31.250 (34.340)	Prec@5 57.812 (64.637)
Epoch: [22][9330/14090]	Time 0.850 (0.765)	Data 0.001 (0.001)	Loss 2.8540 (2.7552)	Prec@1 35.156 (34.340)	Prec@5 66.406 (64.636)
Epoch: [22][9340/14090]	Time 0.780 (0.765)	Data 0.001 (0.001)	Loss 2.8440 (2.7552)	Prec@1 36.719 (34.341)	Prec@5 64.062 (64.636)
Epoch: [22][9350/14090]	Time 0.776 (0.765)	Data 0.001 (0.001)	Loss 2.4662 (2.7552)	Prec@1 39.844 (34.342)	Prec@5 69.531 (64.636)
Epoch: [22][9360/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.8482 (2.7552)	Prec@1 28.906 (34.344)	Prec@5 61.719 (64.637)
Epoch: [22][9370/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.4291 (2.7552)	Prec@1 40.625 (34.346)	Prec@5 67.188 (64.640)
Epoch: [22][9380/14090]	Time 0.767 (0.765)	Data 0.001 (0.001)	Loss 2.5813 (2.7552)	Prec@1 39.844 (34.346)	Prec@5 67.969 (64.639)
Epoch: [22][9390/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.7193 (2.7551)	Prec@1 35.938 (34.348)	Prec@5 60.156 (64.641)
Epoch: [22][9400/14090]	Time 0.860 (0.765)	Data 0.001 (0.001)	Loss 2.4850 (2.7549)	Prec@1 42.969 (34.350)	Prec@5 70.312 (64.644)
Epoch: [22][9410/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.7289 (2.7549)	Prec@1 33.594 (34.350)	Prec@5 68.750 (64.646)
Epoch: [22][9420/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.7464 (2.7549)	Prec@1 32.812 (34.349)	Prec@5 71.094 (64.646)
Epoch: [22][9430/14090]	Time 0.776 (0.765)	Data 0.001 (0.001)	Loss 2.7535 (2.7548)	Prec@1 35.938 (34.349)	Prec@5 62.500 (64.646)
Epoch: [22][9440/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.7576 (2.7549)	Prec@1 28.125 (34.347)	Prec@5 64.062 (64.644)
Epoch: [22][9450/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.9654 (2.7550)	Prec@1 25.781 (34.343)	Prec@5 58.594 (64.643)
Epoch: [22][9460/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.7818 (2.7550)	Prec@1 25.781 (34.343)	Prec@5 65.625 (64.642)
Epoch: [22][9470/14090]	Time 0.877 (0.765)	Data 0.001 (0.001)	Loss 2.6169 (2.7550)	Prec@1 36.719 (34.343)	Prec@5 71.875 (64.644)
Epoch: [22][9480/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.9179 (2.7550)	Prec@1 30.469 (34.343)	Prec@5 62.500 (64.645)
Epoch: [22][9490/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.6890 (2.7550)	Prec@1 35.938 (34.345)	Prec@5 65.625 (64.646)
Epoch: [22][9500/14090]	Time 0.766 (0.765)	Data 0.001 (0.001)	Loss 2.7191 (2.7549)	Prec@1 37.500 (34.344)	Prec@5 67.188 (64.646)
Epoch: [22][9510/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 3.0080 (2.7550)	Prec@1 28.906 (34.341)	Prec@5 56.250 (64.641)
Epoch: [22][9520/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.7282 (2.7550)	Prec@1 39.062 (34.343)	Prec@5 66.406 (64.642)
Epoch: [22][9530/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.8436 (2.7549)	Prec@1 32.812 (34.345)	Prec@5 67.188 (64.645)
Epoch: [22][9540/14090]	Time 0.879 (0.765)	Data 0.001 (0.001)	Loss 2.7892 (2.7549)	Prec@1 32.031 (34.344)	Prec@5 63.281 (64.643)
Epoch: [22][9550/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.6368 (2.7549)	Prec@1 33.594 (34.345)	Prec@5 65.625 (64.643)
Epoch: [22][9560/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 2.9291 (2.7550)	Prec@1 32.812 (34.344)	Prec@5 64.062 (64.642)
Epoch: [22][9570/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 2.6207 (2.7550)	Prec@1 34.375 (34.344)	Prec@5 71.094 (64.643)
Epoch: [22][9580/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.7438 (2.7551)	Prec@1 39.062 (34.344)	Prec@5 66.406 (64.642)
Epoch: [22][9590/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.4567 (2.7550)	Prec@1 39.844 (34.344)	Prec@5 69.531 (64.643)
Epoch: [22][9600/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.6284 (2.7550)	Prec@1 41.406 (34.345)	Prec@5 65.625 (64.644)
Epoch: [22][9610/14090]	Time 0.860 (0.765)	Data 0.001 (0.001)	Loss 2.7398 (2.7549)	Prec@1 31.250 (34.347)	Prec@5 61.719 (64.645)
Epoch: [22][9620/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.6543 (2.7549)	Prec@1 29.688 (34.346)	Prec@5 73.438 (64.647)
Epoch: [22][9630/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.6470 (2.7549)	Prec@1 33.594 (34.346)	Prec@5 66.406 (64.645)
Epoch: [22][9640/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.8809 (2.7549)	Prec@1 29.688 (34.349)	Prec@5 61.719 (64.647)
Epoch: [22][9650/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.7478 (2.7549)	Prec@1 32.812 (34.347)	Prec@5 60.156 (64.646)
Epoch: [22][9660/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.9608 (2.7549)	Prec@1 33.594 (34.346)	Prec@5 61.719 (64.646)
Epoch: [22][9670/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.8241 (2.7549)	Prec@1 32.812 (34.347)	Prec@5 65.625 (64.646)
Epoch: [22][9680/14090]	Time 0.851 (0.765)	Data 0.001 (0.001)	Loss 2.9754 (2.7549)	Prec@1 28.906 (34.346)	Prec@5 59.375 (64.647)
Epoch: [22][9690/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.5927 (2.7549)	Prec@1 37.500 (34.348)	Prec@5 67.969 (64.648)
Epoch: [22][9700/14090]	Time 0.721 (0.765)	Data 0.001 (0.001)	Loss 2.4100 (2.7548)	Prec@1 43.750 (34.349)	Prec@5 73.438 (64.650)
Epoch: [22][9710/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 3.0640 (2.7548)	Prec@1 32.812 (34.349)	Prec@5 58.594 (64.651)
Epoch: [22][9720/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.7366 (2.7548)	Prec@1 35.156 (34.348)	Prec@5 65.625 (64.650)
Epoch: [22][9730/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.8194 (2.7549)	Prec@1 37.500 (34.346)	Prec@5 63.281 (64.648)
Epoch: [22][9740/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 3.1508 (2.7550)	Prec@1 34.375 (34.346)	Prec@5 55.469 (64.647)
Epoch: [22][9750/14090]	Time 0.835 (0.765)	Data 0.001 (0.001)	Loss 2.6379 (2.7551)	Prec@1 35.156 (34.345)	Prec@5 64.844 (64.645)
Epoch: [22][9760/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 2.6171 (2.7550)	Prec@1 39.062 (34.347)	Prec@5 65.625 (64.645)
Epoch: [22][9770/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.9184 (2.7551)	Prec@1 30.469 (34.347)	Prec@5 64.062 (64.645)
Epoch: [22][9780/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.5586 (2.7550)	Prec@1 39.062 (34.347)	Prec@5 68.750 (64.647)
Epoch: [22][9790/14090]	Time 0.720 (0.765)	Data 0.001 (0.001)	Loss 2.4395 (2.7550)	Prec@1 40.625 (34.347)	Prec@5 67.969 (64.646)
Epoch: [22][9800/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.6452 (2.7549)	Prec@1 40.625 (34.348)	Prec@5 67.188 (64.646)
Epoch: [22][9810/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.8928 (2.7549)	Prec@1 29.688 (34.347)	Prec@5 60.938 (64.647)
Epoch: [22][9820/14090]	Time 0.859 (0.765)	Data 0.001 (0.001)	Loss 2.8564 (2.7549)	Prec@1 35.938 (34.347)	Prec@5 63.281 (64.646)
Epoch: [22][9830/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.6523 (2.7550)	Prec@1 32.031 (34.345)	Prec@5 69.531 (64.646)
Epoch: [22][9840/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.9059 (2.7551)	Prec@1 32.812 (34.344)	Prec@5 60.156 (64.643)
Epoch: [22][9850/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.8063 (2.7551)	Prec@1 34.375 (34.342)	Prec@5 60.938 (64.642)
Epoch: [22][9860/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.6690 (2.7552)	Prec@1 31.250 (34.339)	Prec@5 66.406 (64.643)
Epoch: [22][9870/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.7789 (2.7551)	Prec@1 33.594 (34.341)	Prec@5 65.625 (64.645)
Epoch: [22][9880/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.6724 (2.7552)	Prec@1 35.938 (34.341)	Prec@5 65.625 (64.644)
Epoch: [22][9890/14090]	Time 0.856 (0.765)	Data 0.001 (0.001)	Loss 2.4443 (2.7552)	Prec@1 42.969 (34.340)	Prec@5 70.312 (64.642)
Epoch: [22][9900/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.7626 (2.7552)	Prec@1 34.375 (34.340)	Prec@5 62.500 (64.640)
Epoch: [22][9910/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.8004 (2.7552)	Prec@1 35.156 (34.339)	Prec@5 57.812 (64.638)
Epoch: [22][9920/14090]	Time 0.783 (0.765)	Data 0.001 (0.001)	Loss 2.9618 (2.7553)	Prec@1 30.469 (34.338)	Prec@5 61.719 (64.637)
Epoch: [22][9930/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.7382 (2.7553)	Prec@1 35.156 (34.337)	Prec@5 67.188 (64.638)
Epoch: [22][9940/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.7099 (2.7553)	Prec@1 37.500 (34.339)	Prec@5 68.750 (64.638)
Epoch: [22][9950/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.7392 (2.7553)	Prec@1 35.938 (34.339)	Prec@5 62.500 (64.638)
Epoch: [22][9960/14090]	Time 0.866 (0.765)	Data 0.001 (0.001)	Loss 2.8578 (2.7554)	Prec@1 28.125 (34.337)	Prec@5 61.719 (64.637)
Epoch: [22][9970/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.8037 (2.7554)	Prec@1 35.156 (34.338)	Prec@5 64.844 (64.637)
Epoch: [22][9980/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.9756 (2.7555)	Prec@1 29.688 (34.336)	Prec@5 60.156 (64.636)
Epoch: [22][9990/14090]	Time 0.780 (0.765)	Data 0.001 (0.001)	Loss 3.1105 (2.7554)	Prec@1 29.688 (34.337)	Prec@5 54.688 (64.636)
Epoch: [22][10000/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.7526 (2.7554)	Prec@1 39.844 (34.339)	Prec@5 62.500 (64.636)
Epoch: [22][10010/14090]	Time 0.777 (0.765)	Data 0.001 (0.001)	Loss 2.8387 (2.7553)	Prec@1 32.812 (34.341)	Prec@5 67.188 (64.638)
Epoch: [22][10020/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.8166 (2.7553)	Prec@1 26.562 (34.340)	Prec@5 67.188 (64.639)
Epoch: [22][10030/14090]	Time 0.851 (0.765)	Data 0.001 (0.001)	Loss 2.8921 (2.7554)	Prec@1 32.812 (34.338)	Prec@5 67.188 (64.637)
Epoch: [22][10040/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.9109 (2.7554)	Prec@1 39.844 (34.336)	Prec@5 62.500 (64.635)
Epoch: [22][10050/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.7077 (2.7554)	Prec@1 32.031 (34.338)	Prec@5 67.969 (64.637)
Epoch: [22][10060/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.8088 (2.7553)	Prec@1 32.812 (34.339)	Prec@5 67.188 (64.639)
Epoch: [22][10070/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 3.1148 (2.7554)	Prec@1 29.688 (34.338)	Prec@5 55.469 (64.639)
Epoch: [22][10080/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 2.8569 (2.7553)	Prec@1 31.250 (34.338)	Prec@5 62.500 (64.640)
Epoch: [22][10090/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.8050 (2.7554)	Prec@1 32.812 (34.338)	Prec@5 58.594 (64.641)
Epoch: [22][10100/14090]	Time 0.862 (0.765)	Data 0.001 (0.001)	Loss 2.7096 (2.7554)	Prec@1 36.719 (34.336)	Prec@5 67.188 (64.640)
Epoch: [22][10110/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.8823 (2.7555)	Prec@1 31.250 (34.336)	Prec@5 60.938 (64.640)
Epoch: [22][10120/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.8562 (2.7555)	Prec@1 30.469 (34.335)	Prec@5 60.156 (64.638)
Epoch: [22][10130/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.8251 (2.7555)	Prec@1 28.906 (34.338)	Prec@5 64.062 (64.638)
Epoch: [22][10140/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.7407 (2.7555)	Prec@1 29.688 (34.337)	Prec@5 66.406 (64.637)
Epoch: [22][10150/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.9151 (2.7557)	Prec@1 28.906 (34.334)	Prec@5 63.281 (64.635)
Epoch: [22][10160/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.6290 (2.7558)	Prec@1 35.156 (34.333)	Prec@5 69.531 (64.632)
Epoch: [22][10170/14090]	Time 0.863 (0.765)	Data 0.001 (0.001)	Loss 3.1649 (2.7558)	Prec@1 29.688 (34.333)	Prec@5 59.375 (64.633)
Epoch: [22][10180/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.8739 (2.7558)	Prec@1 36.719 (34.333)	Prec@5 61.719 (64.632)
Epoch: [22][10190/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.7079 (2.7558)	Prec@1 36.719 (34.332)	Prec@5 64.844 (64.631)
Epoch: [22][10200/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.8395 (2.7558)	Prec@1 30.469 (34.332)	Prec@5 60.938 (64.632)
Epoch: [22][10210/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.5207 (2.7559)	Prec@1 39.844 (34.331)	Prec@5 70.312 (64.631)
Epoch: [22][10220/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.6760 (2.7558)	Prec@1 35.156 (34.331)	Prec@5 67.969 (64.631)
Epoch: [22][10230/14090]	Time 0.719 (0.765)	Data 0.001 (0.001)	Loss 2.8606 (2.7558)	Prec@1 32.812 (34.331)	Prec@5 67.188 (64.633)
Epoch: [22][10240/14090]	Time 0.878 (0.765)	Data 0.001 (0.001)	Loss 2.5404 (2.7558)	Prec@1 37.500 (34.331)	Prec@5 66.406 (64.633)
Epoch: [22][10250/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.7773 (2.7559)	Prec@1 39.062 (34.330)	Prec@5 60.938 (64.631)
Epoch: [22][10260/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.4609 (2.7559)	Prec@1 33.594 (34.328)	Prec@5 72.656 (64.630)
Epoch: [22][10270/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.5064 (2.7560)	Prec@1 42.188 (34.328)	Prec@5 69.531 (64.630)
Epoch: [22][10280/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.6820 (2.7560)	Prec@1 35.156 (34.327)	Prec@5 64.062 (64.629)
Epoch: [22][10290/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.7401 (2.7560)	Prec@1 35.156 (34.327)	Prec@5 64.844 (64.629)
Epoch: [22][10300/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.6732 (2.7560)	Prec@1 36.719 (34.327)	Prec@5 69.531 (64.629)
Epoch: [22][10310/14090]	Time 0.876 (0.765)	Data 0.001 (0.001)	Loss 2.7329 (2.7559)	Prec@1 33.594 (34.327)	Prec@5 65.625 (64.630)
Epoch: [22][10320/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.5092 (2.7559)	Prec@1 38.281 (34.326)	Prec@5 70.312 (64.630)
Epoch: [22][10330/14090]	Time 0.776 (0.765)	Data 0.001 (0.001)	Loss 2.6722 (2.7559)	Prec@1 32.812 (34.325)	Prec@5 69.531 (64.630)
Epoch: [22][10340/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.5964 (2.7559)	Prec@1 46.875 (34.326)	Prec@5 68.750 (64.629)
Epoch: [22][10350/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.7418 (2.7558)	Prec@1 33.594 (34.327)	Prec@5 62.500 (64.631)
Epoch: [22][10360/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.6338 (2.7558)	Prec@1 34.375 (34.326)	Prec@5 71.094 (64.630)
Epoch: [22][10370/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.7308 (2.7558)	Prec@1 36.719 (34.328)	Prec@5 66.406 (64.632)
Epoch: [22][10380/14090]	Time 0.852 (0.765)	Data 0.001 (0.001)	Loss 2.6894 (2.7557)	Prec@1 40.625 (34.329)	Prec@5 61.719 (64.633)
Epoch: [22][10390/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.4507 (2.7558)	Prec@1 39.844 (34.329)	Prec@5 70.312 (64.633)
Epoch: [22][10400/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.5420 (2.7558)	Prec@1 39.844 (34.329)	Prec@5 67.969 (64.633)
Epoch: [22][10410/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.7951 (2.7557)	Prec@1 35.938 (34.332)	Prec@5 60.156 (64.634)
Epoch: [22][10420/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.5462 (2.7557)	Prec@1 37.500 (34.332)	Prec@5 67.969 (64.634)
Epoch: [22][10430/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.8406 (2.7558)	Prec@1 34.375 (34.330)	Prec@5 64.844 (64.632)
Epoch: [22][10440/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.6061 (2.7558)	Prec@1 37.500 (34.329)	Prec@5 65.625 (64.632)
Epoch: [22][10450/14090]	Time 0.873 (0.765)	Data 0.001 (0.001)	Loss 2.5261 (2.7557)	Prec@1 41.406 (34.330)	Prec@5 68.750 (64.634)
Epoch: [22][10460/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.8829 (2.7558)	Prec@1 32.031 (34.330)	Prec@5 67.188 (64.635)
Epoch: [22][10470/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.8597 (2.7558)	Prec@1 28.125 (34.328)	Prec@5 64.062 (64.635)
Epoch: [22][10480/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.7253 (2.7558)	Prec@1 31.250 (34.328)	Prec@5 60.938 (64.634)
Epoch: [22][10490/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.5322 (2.7557)	Prec@1 38.281 (34.328)	Prec@5 69.531 (64.637)
Epoch: [22][10500/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.8346 (2.7558)	Prec@1 30.469 (34.328)	Prec@5 59.375 (64.634)
Epoch: [22][10510/14090]	Time 0.779 (0.765)	Data 0.001 (0.001)	Loss 2.5575 (2.7557)	Prec@1 37.500 (34.329)	Prec@5 64.844 (64.637)
Epoch: [22][10520/14090]	Time 0.878 (0.765)	Data 0.001 (0.001)	Loss 2.5553 (2.7558)	Prec@1 35.938 (34.328)	Prec@5 69.531 (64.635)
Epoch: [22][10530/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.8936 (2.7559)	Prec@1 30.469 (34.328)	Prec@5 63.281 (64.634)
Epoch: [22][10540/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.6935 (2.7559)	Prec@1 32.812 (34.326)	Prec@5 66.406 (64.633)
Epoch: [22][10550/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 3.1284 (2.7559)	Prec@1 28.906 (34.325)	Prec@5 56.250 (64.632)
Epoch: [22][10560/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.7539 (2.7559)	Prec@1 32.812 (34.326)	Prec@5 66.406 (64.634)
Epoch: [22][10570/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.6971 (2.7558)	Prec@1 29.688 (34.326)	Prec@5 65.625 (64.633)
Epoch: [22][10580/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.5385 (2.7558)	Prec@1 35.938 (34.326)	Prec@5 71.875 (64.633)
Epoch: [22][10590/14090]	Time 0.853 (0.765)	Data 0.001 (0.001)	Loss 2.7554 (2.7558)	Prec@1 35.156 (34.325)	Prec@5 62.500 (64.632)
Epoch: [22][10600/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.7162 (2.7557)	Prec@1 36.719 (34.328)	Prec@5 63.281 (64.634)
Epoch: [22][10610/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 3.1069 (2.7558)	Prec@1 29.688 (34.325)	Prec@5 53.125 (64.633)
Epoch: [22][10620/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.5997 (2.7558)	Prec@1 42.188 (34.327)	Prec@5 69.531 (64.633)
Epoch: [22][10630/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.3455 (2.7558)	Prec@1 39.062 (34.327)	Prec@5 75.781 (64.634)
Epoch: [22][10640/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.8097 (2.7558)	Prec@1 31.250 (34.326)	Prec@5 64.844 (64.634)
Epoch: [22][10650/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.7138 (2.7558)	Prec@1 37.500 (34.327)	Prec@5 65.625 (64.633)
Epoch: [22][10660/14090]	Time 0.822 (0.765)	Data 0.001 (0.001)	Loss 2.2948 (2.7558)	Prec@1 39.844 (34.325)	Prec@5 76.562 (64.632)
Epoch: [22][10670/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.6034 (2.7558)	Prec@1 40.625 (34.325)	Prec@5 69.531 (64.633)
Epoch: [22][10680/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.7254 (2.7558)	Prec@1 36.719 (34.323)	Prec@5 64.062 (64.633)
Epoch: [22][10690/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.6151 (2.7558)	Prec@1 39.062 (34.323)	Prec@5 65.625 (64.632)
Epoch: [22][10700/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.7394 (2.7558)	Prec@1 36.719 (34.323)	Prec@5 59.375 (64.632)
Epoch: [22][10710/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.6853 (2.7558)	Prec@1 38.281 (34.323)	Prec@5 66.406 (64.630)
Epoch: [22][10720/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.9124 (2.7558)	Prec@1 24.219 (34.322)	Prec@5 63.281 (64.630)
Epoch: [22][10730/14090]	Time 0.883 (0.765)	Data 0.001 (0.001)	Loss 2.5436 (2.7557)	Prec@1 40.625 (34.324)	Prec@5 66.406 (64.631)
Epoch: [22][10740/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.7617 (2.7558)	Prec@1 32.031 (34.323)	Prec@5 61.719 (64.630)
Epoch: [22][10750/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.7045 (2.7557)	Prec@1 39.062 (34.324)	Prec@5 64.062 (64.631)
Epoch: [22][10760/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.9688 (2.7559)	Prec@1 31.250 (34.320)	Prec@5 59.375 (64.629)
Epoch: [22][10770/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.8981 (2.7559)	Prec@1 31.250 (34.320)	Prec@5 60.156 (64.627)
Epoch: [22][10780/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.7480 (2.7560)	Prec@1 35.938 (34.318)	Prec@5 70.312 (64.627)
Epoch: [22][10790/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.8453 (2.7560)	Prec@1 29.688 (34.319)	Prec@5 62.500 (64.626)
Epoch: [22][10800/14090]	Time 0.850 (0.765)	Data 0.001 (0.001)	Loss 3.0865 (2.7560)	Prec@1 32.812 (34.319)	Prec@5 56.250 (64.626)
Epoch: [22][10810/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.8635 (2.7560)	Prec@1 25.781 (34.320)	Prec@5 65.625 (64.626)
Epoch: [22][10820/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.9669 (2.7560)	Prec@1 35.938 (34.321)	Prec@5 57.031 (64.624)
Epoch: [22][10830/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.6374 (2.7560)	Prec@1 32.031 (34.320)	Prec@5 65.625 (64.624)
Epoch: [22][10840/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.9277 (2.7560)	Prec@1 29.688 (34.319)	Prec@5 64.844 (64.623)
Epoch: [22][10850/14090]	Time 0.770 (0.765)	Data 0.001 (0.001)	Loss 3.1142 (2.7561)	Prec@1 31.250 (34.320)	Prec@5 60.156 (64.623)
Epoch: [22][10860/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.6760 (2.7561)	Prec@1 36.719 (34.319)	Prec@5 67.188 (64.622)
Epoch: [22][10870/14090]	Time 0.865 (0.765)	Data 0.001 (0.001)	Loss 2.5123 (2.7561)	Prec@1 45.312 (34.321)	Prec@5 71.875 (64.623)
Epoch: [22][10880/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.4801 (2.7560)	Prec@1 33.594 (34.324)	Prec@5 73.438 (64.626)
Epoch: [22][10890/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 2.4469 (2.7559)	Prec@1 39.062 (34.325)	Prec@5 68.750 (64.626)
Epoch: [22][10900/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.7012 (2.7559)	Prec@1 38.281 (34.326)	Prec@5 64.844 (64.626)
Epoch: [22][10910/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.4284 (2.7559)	Prec@1 42.969 (34.327)	Prec@5 73.438 (64.626)
Epoch: [22][10920/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.8246 (2.7559)	Prec@1 34.375 (34.326)	Prec@5 64.062 (64.626)
Epoch: [22][10930/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.6348 (2.7559)	Prec@1 31.250 (34.328)	Prec@5 69.531 (64.626)
Epoch: [22][10940/14090]	Time 0.866 (0.765)	Data 0.001 (0.001)	Loss 3.2043 (2.7559)	Prec@1 20.312 (34.327)	Prec@5 55.469 (64.626)
Epoch: [22][10950/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.9951 (2.7559)	Prec@1 29.688 (34.327)	Prec@5 60.938 (64.626)
Epoch: [22][10960/14090]	Time 0.773 (0.765)	Data 0.001 (0.001)	Loss 2.8297 (2.7559)	Prec@1 35.938 (34.327)	Prec@5 65.625 (64.627)
Epoch: [22][10970/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.8000 (2.7558)	Prec@1 35.938 (34.328)	Prec@5 64.062 (64.629)
Epoch: [22][10980/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.9533 (2.7560)	Prec@1 32.812 (34.326)	Prec@5 62.500 (64.626)
Epoch: [22][10990/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.6818 (2.7559)	Prec@1 32.812 (34.325)	Prec@5 67.188 (64.627)
Epoch: [22][11000/14090]	Time 0.720 (0.765)	Data 0.001 (0.001)	Loss 2.5024 (2.7559)	Prec@1 46.875 (34.325)	Prec@5 72.656 (64.627)
Epoch: [22][11010/14090]	Time 0.862 (0.765)	Data 0.001 (0.001)	Loss 2.9124 (2.7559)	Prec@1 38.281 (34.327)	Prec@5 59.375 (64.626)
Epoch: [22][11020/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 3.1654 (2.7559)	Prec@1 28.125 (34.326)	Prec@5 60.938 (64.626)
Epoch: [22][11030/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.8209 (2.7559)	Prec@1 33.594 (34.327)	Prec@5 64.062 (64.627)
Epoch: [22][11040/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.7328 (2.7558)	Prec@1 34.375 (34.328)	Prec@5 60.156 (64.627)
Epoch: [22][11050/14090]	Time 0.721 (0.765)	Data 0.001 (0.001)	Loss 3.3033 (2.7559)	Prec@1 32.031 (34.329)	Prec@5 52.344 (64.626)
Epoch: [22][11060/14090]	Time 0.773 (0.765)	Data 0.001 (0.001)	Loss 2.9403 (2.7559)	Prec@1 22.656 (34.327)	Prec@5 63.281 (64.625)
Epoch: [22][11070/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.6366 (2.7559)	Prec@1 32.031 (34.327)	Prec@5 68.750 (64.625)
Epoch: [22][11080/14090]	Time 0.874 (0.765)	Data 0.001 (0.001)	Loss 2.7094 (2.7559)	Prec@1 38.281 (34.328)	Prec@5 68.750 (64.626)
Epoch: [22][11090/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.7043 (2.7559)	Prec@1 39.062 (34.328)	Prec@5 65.625 (64.625)
Epoch: [22][11100/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 2.8987 (2.7559)	Prec@1 33.594 (34.330)	Prec@5 59.375 (64.626)
Epoch: [22][11110/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.6143 (2.7559)	Prec@1 41.406 (34.329)	Prec@5 69.531 (64.625)
Epoch: [22][11120/14090]	Time 0.776 (0.765)	Data 0.001 (0.001)	Loss 2.8152 (2.7560)	Prec@1 28.906 (34.328)	Prec@5 63.281 (64.624)
Epoch: [22][11130/14090]	Time 0.769 (0.765)	Data 0.001 (0.001)	Loss 2.4470 (2.7559)	Prec@1 38.281 (34.329)	Prec@5 74.219 (64.626)
Epoch: [22][11140/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.7204 (2.7559)	Prec@1 39.062 (34.331)	Prec@5 67.188 (64.628)
Epoch: [22][11150/14090]	Time 0.829 (0.765)	Data 0.001 (0.001)	Loss 2.8057 (2.7559)	Prec@1 35.938 (34.331)	Prec@5 67.188 (64.627)
Epoch: [22][11160/14090]	Time 0.721 (0.765)	Data 0.001 (0.001)	Loss 2.7811 (2.7559)	Prec@1 32.031 (34.331)	Prec@5 69.531 (64.627)
Epoch: [22][11170/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.6562 (2.7559)	Prec@1 33.594 (34.333)	Prec@5 67.188 (64.627)
Epoch: [22][11180/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.5079 (2.7558)	Prec@1 35.938 (34.333)	Prec@5 67.969 (64.628)
Epoch: [22][11190/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.8911 (2.7558)	Prec@1 34.375 (34.334)	Prec@5 61.719 (64.629)
Epoch: [22][11200/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.4341 (2.7558)	Prec@1 35.938 (34.334)	Prec@5 67.188 (64.629)
Epoch: [22][11210/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.6026 (2.7557)	Prec@1 34.375 (34.336)	Prec@5 70.312 (64.631)
Epoch: [22][11220/14090]	Time 0.876 (0.765)	Data 0.001 (0.001)	Loss 2.7356 (2.7557)	Prec@1 33.594 (34.334)	Prec@5 65.625 (64.631)
Epoch: [22][11230/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.4260 (2.7557)	Prec@1 42.969 (34.335)	Prec@5 70.312 (64.631)
Epoch: [22][11240/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.6565 (2.7558)	Prec@1 35.156 (34.333)	Prec@5 67.188 (64.628)
Epoch: [22][11250/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.5857 (2.7558)	Prec@1 39.062 (34.334)	Prec@5 68.750 (64.629)
Epoch: [22][11260/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.7001 (2.7558)	Prec@1 28.906 (34.334)	Prec@5 65.625 (64.628)
Epoch: [22][11270/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.7510 (2.7558)	Prec@1 29.688 (34.333)	Prec@5 59.375 (64.626)
Epoch: [22][11280/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.9094 (2.7559)	Prec@1 31.250 (34.332)	Prec@5 57.812 (64.625)
Epoch: [22][11290/14090]	Time 0.872 (0.765)	Data 0.001 (0.001)	Loss 2.8369 (2.7559)	Prec@1 29.688 (34.330)	Prec@5 60.938 (64.623)
Epoch: [22][11300/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.4336 (2.7558)	Prec@1 39.062 (34.332)	Prec@5 73.438 (64.626)
Epoch: [22][11310/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.7636 (2.7558)	Prec@1 37.500 (34.332)	Prec@5 63.281 (64.626)
Epoch: [22][11320/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.7066 (2.7558)	Prec@1 39.844 (34.332)	Prec@5 65.625 (64.627)
Epoch: [22][11330/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.4077 (2.7558)	Prec@1 40.625 (34.333)	Prec@5 74.219 (64.628)
Epoch: [22][11340/14090]	Time 0.753 (0.765)	Data 0.000 (0.001)	Loss 2.6063 (2.7558)	Prec@1 35.938 (34.334)	Prec@5 68.750 (64.629)
Epoch: [22][11350/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.5361 (2.7557)	Prec@1 34.375 (34.336)	Prec@5 69.531 (64.630)
Epoch: [22][11360/14090]	Time 0.832 (0.765)	Data 0.001 (0.001)	Loss 2.4150 (2.7557)	Prec@1 39.062 (34.336)	Prec@5 72.656 (64.630)
Epoch: [22][11370/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.6843 (2.7557)	Prec@1 40.625 (34.337)	Prec@5 67.969 (64.631)
Epoch: [22][11380/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.6805 (2.7556)	Prec@1 39.062 (34.339)	Prec@5 67.969 (64.631)
Epoch: [22][11390/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.7269 (2.7556)	Prec@1 35.938 (34.339)	Prec@5 69.531 (64.631)
Epoch: [22][11400/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.6919 (2.7556)	Prec@1 39.062 (34.341)	Prec@5 67.188 (64.632)
Epoch: [22][11410/14090]	Time 0.766 (0.765)	Data 0.001 (0.001)	Loss 2.9948 (2.7556)	Prec@1 29.688 (34.341)	Prec@5 63.281 (64.632)
Epoch: [22][11420/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 3.0518 (2.7556)	Prec@1 32.812 (34.342)	Prec@5 60.938 (64.631)
Epoch: [22][11430/14090]	Time 0.846 (0.765)	Data 0.001 (0.001)	Loss 2.7507 (2.7556)	Prec@1 32.031 (34.341)	Prec@5 67.188 (64.631)
Epoch: [22][11440/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 2.4706 (2.7556)	Prec@1 35.938 (34.340)	Prec@5 66.406 (64.631)
Epoch: [22][11450/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 3.0499 (2.7556)	Prec@1 28.125 (34.340)	Prec@5 66.406 (64.631)
Epoch: [22][11460/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.8381 (2.7556)	Prec@1 34.375 (34.340)	Prec@5 62.500 (64.633)
Epoch: [22][11470/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.7625 (2.7556)	Prec@1 34.375 (34.340)	Prec@5 61.719 (64.633)
Epoch: [22][11480/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.8634 (2.7556)	Prec@1 28.125 (34.340)	Prec@5 65.625 (64.632)
Epoch: [22][11490/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.6637 (2.7556)	Prec@1 32.812 (34.337)	Prec@5 67.188 (64.630)
Epoch: [22][11500/14090]	Time 0.825 (0.765)	Data 0.001 (0.001)	Loss 2.9203 (2.7556)	Prec@1 30.469 (34.335)	Prec@5 58.594 (64.629)
Epoch: [22][11510/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 2.9797 (2.7556)	Prec@1 32.812 (34.336)	Prec@5 60.156 (64.629)
Epoch: [22][11520/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.9534 (2.7556)	Prec@1 28.906 (34.337)	Prec@5 60.938 (64.630)
Epoch: [22][11530/14090]	Time 0.769 (0.765)	Data 0.001 (0.001)	Loss 2.8904 (2.7557)	Prec@1 32.812 (34.335)	Prec@5 61.719 (64.628)
Epoch: [22][11540/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.6722 (2.7557)	Prec@1 39.844 (34.336)	Prec@5 64.844 (64.629)
Epoch: [22][11550/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.6598 (2.7557)	Prec@1 38.281 (34.336)	Prec@5 62.500 (64.628)
Epoch: [22][11560/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.8073 (2.7557)	Prec@1 32.812 (34.335)	Prec@5 67.188 (64.629)
Epoch: [22][11570/14090]	Time 0.851 (0.765)	Data 0.001 (0.001)	Loss 2.5848 (2.7557)	Prec@1 38.281 (34.334)	Prec@5 65.625 (64.627)
Epoch: [22][11580/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.9131 (2.7556)	Prec@1 32.812 (34.334)	Prec@5 60.156 (64.628)
Epoch: [22][11590/14090]	Time 0.772 (0.765)	Data 0.001 (0.001)	Loss 2.6681 (2.7557)	Prec@1 43.750 (34.335)	Prec@5 64.062 (64.628)
Epoch: [22][11600/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.6304 (2.7556)	Prec@1 37.500 (34.337)	Prec@5 70.312 (64.630)
Epoch: [22][11610/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 2.9513 (2.7556)	Prec@1 32.031 (34.338)	Prec@5 63.281 (64.631)
Epoch: [22][11620/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.5984 (2.7556)	Prec@1 35.938 (34.336)	Prec@5 66.406 (64.631)
Epoch: [22][11630/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.4889 (2.7556)	Prec@1 39.062 (34.336)	Prec@5 67.969 (64.631)
Epoch: [22][11640/14090]	Time 0.879 (0.765)	Data 0.001 (0.001)	Loss 2.6699 (2.7556)	Prec@1 35.156 (34.335)	Prec@5 71.875 (64.631)
Epoch: [22][11650/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.6716 (2.7557)	Prec@1 36.719 (34.332)	Prec@5 67.969 (64.629)
Epoch: [22][11660/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.9568 (2.7558)	Prec@1 33.594 (34.331)	Prec@5 53.906 (64.626)
Epoch: [22][11670/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.8703 (2.7558)	Prec@1 35.156 (34.332)	Prec@5 62.500 (64.627)
Epoch: [22][11680/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.7365 (2.7557)	Prec@1 32.031 (34.332)	Prec@5 67.188 (64.627)
Epoch: [22][11690/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 3.0131 (2.7558)	Prec@1 32.031 (34.332)	Prec@5 57.031 (64.626)
Epoch: [22][11700/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.9062 (2.7558)	Prec@1 33.594 (34.333)	Prec@5 56.250 (64.626)
Epoch: [22][11710/14090]	Time 0.864 (0.765)	Data 0.001 (0.001)	Loss 2.9453 (2.7558)	Prec@1 33.594 (34.334)	Prec@5 62.500 (64.626)
Epoch: [22][11720/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 2.6923 (2.7557)	Prec@1 39.062 (34.337)	Prec@5 67.969 (64.627)
Epoch: [22][11730/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.8449 (2.7557)	Prec@1 28.906 (34.337)	Prec@5 62.500 (64.627)
Epoch: [22][11740/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.7279 (2.7558)	Prec@1 32.031 (34.337)	Prec@5 57.812 (64.626)
Epoch: [22][11750/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.7075 (2.7557)	Prec@1 35.938 (34.338)	Prec@5 64.062 (64.626)
Epoch: [22][11760/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.6563 (2.7558)	Prec@1 37.500 (34.338)	Prec@5 67.969 (64.625)
Epoch: [22][11770/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.9652 (2.7559)	Prec@1 34.375 (34.336)	Prec@5 60.156 (64.622)
Epoch: [22][11780/14090]	Time 0.869 (0.765)	Data 0.001 (0.001)	Loss 3.0506 (2.7559)	Prec@1 25.781 (34.333)	Prec@5 54.688 (64.622)
Epoch: [22][11790/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.6593 (2.7559)	Prec@1 32.812 (34.333)	Prec@5 69.531 (64.622)
Epoch: [22][11800/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.9248 (2.7559)	Prec@1 33.594 (34.332)	Prec@5 65.625 (64.622)
Epoch: [22][11810/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.8880 (2.7560)	Prec@1 31.250 (34.332)	Prec@5 64.844 (64.621)
Epoch: [22][11820/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.9838 (2.7560)	Prec@1 26.562 (34.331)	Prec@5 60.938 (64.618)
Epoch: [22][11830/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.8571 (2.7560)	Prec@1 28.125 (34.330)	Prec@5 63.281 (64.619)
Epoch: [22][11840/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.4595 (2.7560)	Prec@1 43.750 (34.331)	Prec@5 70.312 (64.620)
Epoch: [22][11850/14090]	Time 0.880 (0.765)	Data 0.001 (0.001)	Loss 2.5231 (2.7561)	Prec@1 39.844 (34.330)	Prec@5 67.969 (64.619)
Epoch: [22][11860/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.7668 (2.7561)	Prec@1 37.500 (34.330)	Prec@5 60.156 (64.617)
Epoch: [22][11870/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.6182 (2.7562)	Prec@1 39.062 (34.328)	Prec@5 71.094 (64.617)
Epoch: [22][11880/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.8790 (2.7562)	Prec@1 33.594 (34.327)	Prec@5 65.625 (64.617)
Epoch: [22][11890/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.6986 (2.7562)	Prec@1 35.938 (34.326)	Prec@5 64.062 (64.616)
Epoch: [22][11900/14090]	Time 0.769 (0.765)	Data 0.001 (0.001)	Loss 2.5663 (2.7562)	Prec@1 40.625 (34.326)	Prec@5 66.406 (64.616)
Epoch: [22][11910/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.5606 (2.7562)	Prec@1 36.719 (34.326)	Prec@5 67.188 (64.616)
Epoch: [22][11920/14090]	Time 0.885 (0.765)	Data 0.001 (0.001)	Loss 2.7953 (2.7562)	Prec@1 37.500 (34.327)	Prec@5 61.719 (64.616)
Epoch: [22][11930/14090]	Time 0.785 (0.765)	Data 0.001 (0.001)	Loss 2.6447 (2.7563)	Prec@1 35.156 (34.326)	Prec@5 67.969 (64.617)
Epoch: [22][11940/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.5814 (2.7563)	Prec@1 39.062 (34.327)	Prec@5 69.531 (64.616)
Epoch: [22][11950/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.6154 (2.7563)	Prec@1 37.500 (34.326)	Prec@5 70.312 (64.616)
Epoch: [22][11960/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.4189 (2.7563)	Prec@1 39.062 (34.327)	Prec@5 69.531 (64.617)
Epoch: [22][11970/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.4805 (2.7563)	Prec@1 37.500 (34.326)	Prec@5 69.531 (64.617)
Epoch: [22][11980/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.8604 (2.7563)	Prec@1 28.906 (34.326)	Prec@5 59.375 (64.617)
Epoch: [22][11990/14090]	Time 0.843 (0.765)	Data 0.001 (0.001)	Loss 2.5666 (2.7562)	Prec@1 39.062 (34.327)	Prec@5 65.625 (64.618)
Epoch: [22][12000/14090]	Time 0.766 (0.765)	Data 0.001 (0.001)	Loss 3.0342 (2.7562)	Prec@1 27.344 (34.326)	Prec@5 60.156 (64.618)
Epoch: [22][12010/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 2.6522 (2.7562)	Prec@1 35.938 (34.325)	Prec@5 66.406 (64.618)
Epoch: [22][12020/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.7975 (2.7562)	Prec@1 32.812 (34.325)	Prec@5 66.406 (64.617)
Epoch: [22][12030/14090]	Time 0.775 (0.765)	Data 0.001 (0.001)	Loss 2.6824 (2.7562)	Prec@1 36.719 (34.325)	Prec@5 65.625 (64.618)
Epoch: [22][12040/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.8175 (2.7562)	Prec@1 35.938 (34.325)	Prec@5 61.719 (64.617)
Epoch: [22][12050/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.8067 (2.7562)	Prec@1 34.375 (34.326)	Prec@5 63.281 (64.618)
Epoch: [22][12060/14090]	Time 0.884 (0.765)	Data 0.001 (0.001)	Loss 2.6649 (2.7561)	Prec@1 35.156 (34.327)	Prec@5 66.406 (64.621)
Epoch: [22][12070/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.8659 (2.7561)	Prec@1 32.031 (34.327)	Prec@5 64.062 (64.620)
Epoch: [22][12080/14090]	Time 0.778 (0.765)	Data 0.001 (0.001)	Loss 2.7112 (2.7560)	Prec@1 31.250 (34.328)	Prec@5 68.750 (64.621)
Epoch: [22][12090/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.8566 (2.7561)	Prec@1 30.469 (34.326)	Prec@5 65.625 (64.621)
Epoch: [22][12100/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.5424 (2.7561)	Prec@1 37.500 (34.325)	Prec@5 67.188 (64.619)
Epoch: [22][12110/14090]	Time 0.772 (0.765)	Data 0.001 (0.001)	Loss 2.7255 (2.7562)	Prec@1 35.156 (34.324)	Prec@5 65.625 (64.617)
Epoch: [22][12120/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.8020 (2.7561)	Prec@1 32.031 (34.324)	Prec@5 63.281 (64.619)
Epoch: [22][12130/14090]	Time 0.845 (0.765)	Data 0.001 (0.001)	Loss 2.8941 (2.7562)	Prec@1 33.594 (34.324)	Prec@5 62.500 (64.617)
Epoch: [22][12140/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.9432 (2.7563)	Prec@1 33.594 (34.323)	Prec@5 61.719 (64.615)
Epoch: [22][12150/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.9028 (2.7562)	Prec@1 27.344 (34.323)	Prec@5 61.719 (64.616)
Epoch: [22][12160/14090]	Time 0.773 (0.765)	Data 0.001 (0.001)	Loss 2.8831 (2.7563)	Prec@1 35.156 (34.322)	Prec@5 61.719 (64.615)
Epoch: [22][12170/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.5414 (2.7563)	Prec@1 35.938 (34.321)	Prec@5 71.094 (64.614)
Epoch: [22][12180/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.3700 (2.7563)	Prec@1 46.094 (34.323)	Prec@5 70.312 (64.615)
Epoch: [22][12190/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.7654 (2.7562)	Prec@1 34.375 (34.325)	Prec@5 66.406 (64.615)
Epoch: [22][12200/14090]	Time 0.866 (0.765)	Data 0.001 (0.001)	Loss 2.8703 (2.7563)	Prec@1 31.250 (34.324)	Prec@5 62.500 (64.614)
Epoch: [22][12210/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.8574 (2.7563)	Prec@1 27.344 (34.323)	Prec@5 61.719 (64.613)
Epoch: [22][12220/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.9773 (2.7563)	Prec@1 31.250 (34.324)	Prec@5 60.938 (64.614)
Epoch: [22][12230/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.6059 (2.7563)	Prec@1 40.625 (34.324)	Prec@5 67.969 (64.614)
Epoch: [22][12240/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.9303 (2.7563)	Prec@1 37.500 (34.325)	Prec@5 60.156 (64.612)
Epoch: [22][12250/14090]	Time 0.771 (0.765)	Data 0.001 (0.001)	Loss 2.7348 (2.7563)	Prec@1 34.375 (34.326)	Prec@5 65.625 (64.613)
Epoch: [22][12260/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.6621 (2.7563)	Prec@1 31.250 (34.326)	Prec@5 63.281 (64.613)
Epoch: [22][12270/14090]	Time 0.875 (0.765)	Data 0.001 (0.001)	Loss 2.8083 (2.7563)	Prec@1 35.156 (34.325)	Prec@5 60.938 (64.612)
Epoch: [22][12280/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.7574 (2.7563)	Prec@1 34.375 (34.324)	Prec@5 64.062 (64.611)
Epoch: [22][12290/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.7453 (2.7564)	Prec@1 35.938 (34.323)	Prec@5 62.500 (64.609)
Epoch: [22][12300/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.8229 (2.7564)	Prec@1 32.031 (34.324)	Prec@5 65.625 (64.609)
Epoch: [22][12310/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.5313 (2.7565)	Prec@1 39.844 (34.322)	Prec@5 71.875 (64.608)
Epoch: [22][12320/14090]	Time 0.771 (0.765)	Data 0.001 (0.001)	Loss 2.7540 (2.7564)	Prec@1 37.500 (34.323)	Prec@5 61.719 (64.608)
Epoch: [22][12330/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.5458 (2.7564)	Prec@1 39.844 (34.323)	Prec@5 70.312 (64.609)
Epoch: [22][12340/14090]	Time 0.828 (0.765)	Data 0.001 (0.001)	Loss 2.6099 (2.7564)	Prec@1 40.625 (34.325)	Prec@5 72.656 (64.611)
Epoch: [22][12350/14090]	Time 0.772 (0.765)	Data 0.001 (0.001)	Loss 2.8185 (2.7565)	Prec@1 37.500 (34.324)	Prec@5 61.719 (64.610)
Epoch: [22][12360/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.8559 (2.7565)	Prec@1 35.938 (34.323)	Prec@5 58.594 (64.609)
Epoch: [22][12370/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.6348 (2.7565)	Prec@1 33.594 (34.321)	Prec@5 70.312 (64.609)
Epoch: [22][12380/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.7817 (2.7565)	Prec@1 32.031 (34.321)	Prec@5 64.062 (64.609)
Epoch: [22][12390/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.8485 (2.7565)	Prec@1 35.938 (34.322)	Prec@5 62.500 (64.611)
Epoch: [22][12400/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 2.6112 (2.7565)	Prec@1 38.281 (34.321)	Prec@5 70.312 (64.610)
Epoch: [22][12410/14090]	Time 0.866 (0.765)	Data 0.001 (0.001)	Loss 2.7599 (2.7566)	Prec@1 37.500 (34.321)	Prec@5 63.281 (64.609)
Epoch: [22][12420/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.9704 (2.7565)	Prec@1 29.688 (34.322)	Prec@5 58.594 (64.610)
Epoch: [22][12430/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.4308 (2.7565)	Prec@1 39.062 (34.322)	Prec@5 72.656 (64.611)
Epoch: [22][12440/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.9239 (2.7565)	Prec@1 30.469 (34.321)	Prec@5 59.375 (64.610)
Epoch: [22][12450/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.8609 (2.7565)	Prec@1 31.250 (34.320)	Prec@5 64.844 (64.611)
Epoch: [22][12460/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.6081 (2.7566)	Prec@1 35.156 (34.320)	Prec@5 66.406 (64.611)
Epoch: [22][12470/14090]	Time 0.769 (0.765)	Data 0.001 (0.001)	Loss 3.0436 (2.7566)	Prec@1 32.031 (34.320)	Prec@5 57.031 (64.611)
Epoch: [22][12480/14090]	Time 0.851 (0.765)	Data 0.001 (0.001)	Loss 2.5958 (2.7566)	Prec@1 38.281 (34.321)	Prec@5 67.188 (64.610)
Epoch: [22][12490/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.9485 (2.7566)	Prec@1 29.688 (34.321)	Prec@5 59.375 (64.610)
Epoch: [22][12500/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.5150 (2.7566)	Prec@1 38.281 (34.321)	Prec@5 67.969 (64.609)
Epoch: [22][12510/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.7377 (2.7565)	Prec@1 32.812 (34.321)	Prec@5 67.188 (64.610)
Epoch: [22][12520/14090]	Time 0.769 (0.765)	Data 0.001 (0.001)	Loss 2.9483 (2.7565)	Prec@1 29.688 (34.321)	Prec@5 54.688 (64.610)
Epoch: [22][12530/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.8785 (2.7565)	Prec@1 32.812 (34.321)	Prec@5 61.719 (64.607)
Epoch: [22][12540/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.8768 (2.7565)	Prec@1 30.469 (34.323)	Prec@5 61.719 (64.608)
Epoch: [22][12550/14090]	Time 0.877 (0.765)	Data 0.001 (0.001)	Loss 2.5688 (2.7565)	Prec@1 35.938 (34.323)	Prec@5 69.531 (64.608)
Epoch: [22][12560/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.8661 (2.7565)	Prec@1 28.125 (34.322)	Prec@5 60.156 (64.607)
Epoch: [22][12570/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.5337 (2.7565)	Prec@1 40.625 (34.323)	Prec@5 67.188 (64.608)
Epoch: [22][12580/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.5527 (2.7564)	Prec@1 39.062 (34.324)	Prec@5 65.625 (64.610)
Epoch: [22][12590/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 2.6521 (2.7564)	Prec@1 39.062 (34.326)	Prec@5 71.875 (64.611)
Epoch: [22][12600/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.7885 (2.7564)	Prec@1 35.938 (34.326)	Prec@5 62.500 (64.611)
Epoch: [22][12610/14090]	Time 0.768 (0.765)	Data 0.001 (0.001)	Loss 2.6525 (2.7564)	Prec@1 36.719 (34.326)	Prec@5 64.844 (64.610)
Epoch: [22][12620/14090]	Time 0.879 (0.765)	Data 0.001 (0.001)	Loss 2.4870 (2.7564)	Prec@1 38.281 (34.326)	Prec@5 68.750 (64.611)
Epoch: [22][12630/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.7888 (2.7564)	Prec@1 28.125 (34.324)	Prec@5 65.625 (64.611)
Epoch: [22][12640/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.5096 (2.7564)	Prec@1 39.062 (34.325)	Prec@5 65.625 (64.612)
Epoch: [22][12650/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.8157 (2.7564)	Prec@1 34.375 (34.323)	Prec@5 72.656 (64.610)
Epoch: [22][12660/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.7985 (2.7565)	Prec@1 41.406 (34.324)	Prec@5 68.750 (64.610)
Epoch: [22][12670/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 2.6569 (2.7565)	Prec@1 37.500 (34.323)	Prec@5 71.094 (64.610)
Epoch: [22][12680/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.6158 (2.7565)	Prec@1 35.156 (34.323)	Prec@5 66.406 (64.609)
Epoch: [22][12690/14090]	Time 0.891 (0.765)	Data 0.001 (0.001)	Loss 2.7644 (2.7565)	Prec@1 33.594 (34.322)	Prec@5 65.625 (64.610)
Epoch: [22][12700/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.6558 (2.7565)	Prec@1 39.062 (34.323)	Prec@5 67.188 (64.610)
Epoch: [22][12710/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.2942 (2.7564)	Prec@1 45.312 (34.324)	Prec@5 71.875 (64.610)
Epoch: [22][12720/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.8071 (2.7564)	Prec@1 32.031 (34.324)	Prec@5 64.844 (64.610)
Epoch: [22][12730/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.7237 (2.7564)	Prec@1 36.719 (34.324)	Prec@5 63.281 (64.611)
Epoch: [22][12740/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.7747 (2.7565)	Prec@1 32.812 (34.322)	Prec@5 64.844 (64.610)
Epoch: [22][12750/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.7183 (2.7565)	Prec@1 35.156 (34.321)	Prec@5 63.281 (64.609)
Epoch: [22][12760/14090]	Time 0.868 (0.765)	Data 0.001 (0.001)	Loss 2.5756 (2.7565)	Prec@1 38.281 (34.321)	Prec@5 74.219 (64.611)
Epoch: [22][12770/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.8788 (2.7565)	Prec@1 32.812 (34.319)	Prec@5 60.938 (64.610)
Epoch: [22][12780/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.6982 (2.7565)	Prec@1 38.281 (34.319)	Prec@5 64.844 (64.610)
Epoch: [22][12790/14090]	Time 0.771 (0.765)	Data 0.001 (0.001)	Loss 2.6352 (2.7565)	Prec@1 38.281 (34.318)	Prec@5 66.406 (64.609)
Epoch: [22][12800/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.8412 (2.7565)	Prec@1 31.250 (34.319)	Prec@5 62.500 (64.609)
Epoch: [22][12810/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.7087 (2.7565)	Prec@1 35.156 (34.319)	Prec@5 67.969 (64.609)
Epoch: [22][12820/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.6166 (2.7565)	Prec@1 37.500 (34.318)	Prec@5 64.844 (64.609)
Epoch: [22][12830/14090]	Time 0.892 (0.765)	Data 0.001 (0.001)	Loss 2.6331 (2.7565)	Prec@1 37.500 (34.318)	Prec@5 70.312 (64.609)
Epoch: [22][12840/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.7485 (2.7566)	Prec@1 37.500 (34.317)	Prec@5 66.406 (64.607)
Epoch: [22][12850/14090]	Time 0.716 (0.765)	Data 0.001 (0.001)	Loss 2.8426 (2.7566)	Prec@1 33.594 (34.315)	Prec@5 61.719 (64.608)
Epoch: [22][12860/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.6203 (2.7565)	Prec@1 35.156 (34.315)	Prec@5 69.531 (64.609)
Epoch: [22][12870/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.6128 (2.7565)	Prec@1 35.938 (34.317)	Prec@5 70.312 (64.611)
Epoch: [22][12880/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.6241 (2.7565)	Prec@1 33.594 (34.317)	Prec@5 64.844 (64.611)
Epoch: [22][12890/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.9841 (2.7565)	Prec@1 34.375 (34.318)	Prec@5 63.281 (64.610)
Epoch: [22][12900/14090]	Time 0.879 (0.765)	Data 0.001 (0.001)	Loss 2.7603 (2.7565)	Prec@1 36.719 (34.319)	Prec@5 64.844 (64.609)
Epoch: [22][12910/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.5842 (2.7565)	Prec@1 36.719 (34.319)	Prec@5 71.875 (64.611)
Epoch: [22][12920/14090]	Time 0.721 (0.765)	Data 0.001 (0.001)	Loss 2.8697 (2.7564)	Prec@1 28.125 (34.319)	Prec@5 63.281 (64.612)
Epoch: [22][12930/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.7682 (2.7564)	Prec@1 39.844 (34.321)	Prec@5 62.500 (64.613)
Epoch: [22][12940/14090]	Time 0.781 (0.765)	Data 0.001 (0.001)	Loss 2.7280 (2.7563)	Prec@1 32.812 (34.322)	Prec@5 64.844 (64.614)
Epoch: [22][12950/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.6350 (2.7563)	Prec@1 33.594 (34.325)	Prec@5 67.969 (64.615)
Epoch: [22][12960/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.7043 (2.7563)	Prec@1 30.469 (34.325)	Prec@5 65.625 (64.615)
Epoch: [22][12970/14090]	Time 0.881 (0.765)	Data 0.001 (0.001)	Loss 2.8759 (2.7563)	Prec@1 31.250 (34.324)	Prec@5 62.500 (64.613)
Epoch: [22][12980/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.6609 (2.7563)	Prec@1 35.156 (34.325)	Prec@5 60.938 (64.614)
Epoch: [22][12990/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.8693 (2.7563)	Prec@1 37.500 (34.325)	Prec@5 62.500 (64.614)
Epoch: [22][13000/14090]	Time 0.776 (0.765)	Data 0.001 (0.001)	Loss 2.9191 (2.7564)	Prec@1 29.688 (34.325)	Prec@5 58.594 (64.613)
Epoch: [22][13010/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.6173 (2.7564)	Prec@1 33.594 (34.324)	Prec@5 71.094 (64.613)
Epoch: [22][13020/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.6958 (2.7563)	Prec@1 38.281 (34.325)	Prec@5 61.719 (64.613)
Epoch: [22][13030/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.8181 (2.7564)	Prec@1 30.469 (34.325)	Prec@5 64.062 (64.612)
Epoch: [22][13040/14090]	Time 0.855 (0.765)	Data 0.001 (0.001)	Loss 2.7703 (2.7563)	Prec@1 32.031 (34.326)	Prec@5 66.406 (64.613)
Epoch: [22][13050/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.6967 (2.7562)	Prec@1 34.375 (34.327)	Prec@5 64.844 (64.615)
Epoch: [22][13060/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.7709 (2.7562)	Prec@1 28.125 (34.327)	Prec@5 69.531 (64.616)
Epoch: [22][13070/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.6200 (2.7562)	Prec@1 34.375 (34.327)	Prec@5 64.062 (64.615)
Epoch: [22][13080/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.8254 (2.7563)	Prec@1 35.938 (34.326)	Prec@5 58.594 (64.614)
Epoch: [22][13090/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.5027 (2.7563)	Prec@1 35.938 (34.325)	Prec@5 67.969 (64.616)
Epoch: [22][13100/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.9311 (2.7563)	Prec@1 28.906 (34.324)	Prec@5 60.938 (64.615)
Epoch: [22][13110/14090]	Time 0.880 (0.765)	Data 0.001 (0.001)	Loss 2.9885 (2.7563)	Prec@1 27.344 (34.323)	Prec@5 57.812 (64.614)
Epoch: [22][13120/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.5577 (2.7562)	Prec@1 33.594 (34.324)	Prec@5 69.531 (64.616)
Epoch: [22][13130/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.8560 (2.7563)	Prec@1 33.594 (34.322)	Prec@5 64.062 (64.615)
Epoch: [22][13140/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 3.0319 (2.7563)	Prec@1 26.562 (34.322)	Prec@5 59.375 (64.614)
Epoch: [22][13150/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.6386 (2.7563)	Prec@1 36.719 (34.322)	Prec@5 67.188 (64.614)
Epoch: [22][13160/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.9911 (2.7562)	Prec@1 33.594 (34.324)	Prec@5 64.062 (64.615)
Epoch: [22][13170/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.6394 (2.7562)	Prec@1 32.812 (34.325)	Prec@5 64.844 (64.616)
Epoch: [22][13180/14090]	Time 0.876 (0.765)	Data 0.001 (0.001)	Loss 2.8344 (2.7562)	Prec@1 33.594 (34.325)	Prec@5 64.844 (64.618)
Epoch: [22][13190/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 3.1633 (2.7561)	Prec@1 24.219 (34.326)	Prec@5 53.906 (64.618)
Epoch: [22][13200/14090]	Time 0.775 (0.765)	Data 0.001 (0.001)	Loss 2.6462 (2.7561)	Prec@1 38.281 (34.326)	Prec@5 67.188 (64.620)
Epoch: [22][13210/14090]	Time 0.775 (0.765)	Data 0.001 (0.001)	Loss 2.7874 (2.7561)	Prec@1 31.250 (34.326)	Prec@5 60.938 (64.619)
Epoch: [22][13220/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.7527 (2.7560)	Prec@1 33.594 (34.327)	Prec@5 63.281 (64.620)
Epoch: [22][13230/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.8263 (2.7560)	Prec@1 38.281 (34.328)	Prec@5 66.406 (64.620)
Epoch: [22][13240/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.8534 (2.7560)	Prec@1 35.156 (34.329)	Prec@5 62.500 (64.619)
Epoch: [22][13250/14090]	Time 0.848 (0.765)	Data 0.001 (0.001)	Loss 2.3876 (2.7560)	Prec@1 42.188 (34.329)	Prec@5 74.219 (64.621)
Epoch: [22][13260/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.9751 (2.7560)	Prec@1 32.812 (34.329)	Prec@5 61.719 (64.621)
Epoch: [22][13270/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 3.1755 (2.7560)	Prec@1 27.344 (34.329)	Prec@5 55.469 (64.621)
Epoch: [22][13280/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.6879 (2.7560)	Prec@1 35.156 (34.329)	Prec@5 64.844 (64.622)
Epoch: [22][13290/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.8389 (2.7560)	Prec@1 29.688 (34.327)	Prec@5 63.281 (64.619)
Epoch: [22][13300/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.9401 (2.7560)	Prec@1 28.125 (34.327)	Prec@5 61.719 (64.620)
Epoch: [22][13310/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 2.9537 (2.7561)	Prec@1 34.375 (34.325)	Prec@5 64.062 (64.619)
Epoch: [22][13320/14090]	Time 0.866 (0.765)	Data 0.001 (0.001)	Loss 2.7728 (2.7561)	Prec@1 34.375 (34.324)	Prec@5 62.500 (64.619)
Epoch: [22][13330/14090]	Time 0.781 (0.765)	Data 0.001 (0.001)	Loss 2.8268 (2.7560)	Prec@1 32.031 (34.325)	Prec@5 69.531 (64.621)
Epoch: [22][13340/14090]	Time 0.720 (0.765)	Data 0.001 (0.001)	Loss 2.4282 (2.7560)	Prec@1 42.188 (34.325)	Prec@5 67.969 (64.621)
Epoch: [22][13350/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.7108 (2.7559)	Prec@1 35.156 (34.325)	Prec@5 58.594 (64.620)
Epoch: [22][13360/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.5206 (2.7559)	Prec@1 38.281 (34.325)	Prec@5 67.969 (64.620)
Epoch: [22][13370/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.7158 (2.7559)	Prec@1 28.906 (34.326)	Prec@5 67.969 (64.621)
Epoch: [22][13380/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 2.6737 (2.7559)	Prec@1 38.281 (34.325)	Prec@5 62.500 (64.620)
Epoch: [22][13390/14090]	Time 0.844 (0.765)	Data 0.001 (0.001)	Loss 2.8017 (2.7559)	Prec@1 32.812 (34.325)	Prec@5 66.406 (64.619)
Epoch: [22][13400/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.6331 (2.7559)	Prec@1 32.812 (34.324)	Prec@5 65.625 (64.619)
Epoch: [22][13410/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.8632 (2.7559)	Prec@1 28.906 (34.324)	Prec@5 57.031 (64.619)
Epoch: [22][13420/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.7972 (2.7559)	Prec@1 38.281 (34.325)	Prec@5 62.500 (64.619)
Epoch: [22][13430/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.6692 (2.7559)	Prec@1 32.812 (34.327)	Prec@5 64.062 (64.620)
Epoch: [22][13440/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.4379 (2.7559)	Prec@1 44.531 (34.328)	Prec@5 69.531 (64.620)
Epoch: [22][13450/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 3.0324 (2.7560)	Prec@1 33.594 (34.326)	Prec@5 62.500 (64.619)
Epoch: [22][13460/14090]	Time 0.842 (0.765)	Data 0.001 (0.001)	Loss 2.6418 (2.7559)	Prec@1 38.281 (34.326)	Prec@5 65.625 (64.619)
Epoch: [22][13470/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.8102 (2.7559)	Prec@1 30.469 (34.326)	Prec@5 61.719 (64.620)
Epoch: [22][13480/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.7007 (2.7559)	Prec@1 40.625 (34.326)	Prec@5 66.406 (64.621)
Epoch: [22][13490/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.8526 (2.7559)	Prec@1 35.156 (34.326)	Prec@5 64.062 (64.619)
Epoch: [22][13500/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 3.0425 (2.7560)	Prec@1 26.562 (34.325)	Prec@5 57.031 (64.619)
Epoch: [22][13510/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.6862 (2.7560)	Prec@1 34.375 (34.326)	Prec@5 67.188 (64.619)
Epoch: [22][13520/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.5349 (2.7560)	Prec@1 32.812 (34.325)	Prec@5 68.750 (64.619)
Epoch: [22][13530/14090]	Time 0.884 (0.765)	Data 0.001 (0.001)	Loss 2.6637 (2.7560)	Prec@1 42.969 (34.325)	Prec@5 66.406 (64.618)
Epoch: [22][13540/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.8107 (2.7560)	Prec@1 30.469 (34.326)	Prec@5 65.625 (64.619)
Epoch: [22][13550/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.7619 (2.7560)	Prec@1 30.469 (34.325)	Prec@5 69.531 (64.619)
Epoch: [22][13560/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.7003 (2.7560)	Prec@1 39.062 (34.327)	Prec@5 62.500 (64.619)
Epoch: [22][13570/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.6725 (2.7559)	Prec@1 35.938 (34.328)	Prec@5 71.094 (64.620)
Epoch: [22][13580/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.6822 (2.7559)	Prec@1 39.844 (34.329)	Prec@5 68.750 (64.621)
Epoch: [22][13590/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.6194 (2.7559)	Prec@1 34.375 (34.330)	Prec@5 67.188 (64.621)
Epoch: [22][13600/14090]	Time 0.852 (0.765)	Data 0.001 (0.001)	Loss 2.7568 (2.7559)	Prec@1 27.344 (34.329)	Prec@5 68.750 (64.622)
Epoch: [22][13610/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.5512 (2.7558)	Prec@1 33.594 (34.330)	Prec@5 68.750 (64.624)
Epoch: [22][13620/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.6969 (2.7558)	Prec@1 34.375 (34.329)	Prec@5 61.719 (64.622)
Epoch: [22][13630/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.8106 (2.7558)	Prec@1 32.812 (34.330)	Prec@5 63.281 (64.622)
Epoch: [22][13640/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.6571 (2.7558)	Prec@1 34.375 (34.330)	Prec@5 67.188 (64.623)
Epoch: [22][13650/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.7734 (2.7558)	Prec@1 32.812 (34.330)	Prec@5 67.969 (64.622)
Epoch: [22][13660/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.4114 (2.7558)	Prec@1 38.281 (34.331)	Prec@5 69.531 (64.621)
Epoch: [22][13670/14090]	Time 0.870 (0.765)	Data 0.001 (0.001)	Loss 2.7896 (2.7559)	Prec@1 37.500 (34.330)	Prec@5 61.719 (64.621)
Epoch: [22][13680/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.5659 (2.7559)	Prec@1 39.062 (34.330)	Prec@5 64.844 (64.620)
Epoch: [22][13690/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 3.1775 (2.7558)	Prec@1 28.125 (34.331)	Prec@5 54.688 (64.619)
Epoch: [22][13700/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.9745 (2.7558)	Prec@1 30.469 (34.331)	Prec@5 57.812 (64.619)
Epoch: [22][13710/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.6930 (2.7558)	Prec@1 37.500 (34.333)	Prec@5 67.188 (64.621)
Epoch: [22][13720/14090]	Time 0.767 (0.765)	Data 0.001 (0.001)	Loss 2.7331 (2.7558)	Prec@1 32.812 (34.333)	Prec@5 63.281 (64.621)
Epoch: [22][13730/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 3.0170 (2.7558)	Prec@1 34.375 (34.335)	Prec@5 65.625 (64.621)
Epoch: [22][13740/14090]	Time 0.878 (0.765)	Data 0.001 (0.001)	Loss 2.9282 (2.7558)	Prec@1 32.812 (34.335)	Prec@5 60.938 (64.619)
Epoch: [22][13750/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.7157 (2.7558)	Prec@1 35.938 (34.334)	Prec@5 65.625 (64.619)
Epoch: [22][13760/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.8649 (2.7559)	Prec@1 32.812 (34.334)	Prec@5 61.719 (64.617)
Epoch: [22][13770/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.4096 (2.7559)	Prec@1 36.719 (34.333)	Prec@5 65.625 (64.616)
Epoch: [22][13780/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.6240 (2.7558)	Prec@1 34.375 (34.333)	Prec@5 66.406 (64.616)
Epoch: [22][13790/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.6357 (2.7559)	Prec@1 36.719 (34.333)	Prec@5 66.406 (64.615)
Epoch: [22][13800/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.7913 (2.7559)	Prec@1 40.625 (34.334)	Prec@5 63.281 (64.614)
Epoch: [22][13810/14090]	Time 0.893 (0.765)	Data 0.001 (0.001)	Loss 2.8672 (2.7559)	Prec@1 29.688 (34.333)	Prec@5 57.031 (64.612)
Epoch: [22][13820/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.6790 (2.7560)	Prec@1 41.406 (34.333)	Prec@5 68.750 (64.611)
Epoch: [22][13830/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.7197 (2.7559)	Prec@1 42.969 (34.334)	Prec@5 66.406 (64.611)
Epoch: [22][13840/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.8000 (2.7560)	Prec@1 38.281 (34.333)	Prec@5 66.406 (64.610)
Epoch: [22][13850/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.9480 (2.7560)	Prec@1 31.250 (34.332)	Prec@5 59.375 (64.609)
Epoch: [22][13860/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.7391 (2.7560)	Prec@1 28.906 (34.332)	Prec@5 64.844 (64.610)
Epoch: [22][13870/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.8120 (2.7561)	Prec@1 39.062 (34.331)	Prec@5 65.625 (64.607)
Epoch: [22][13880/14090]	Time 0.858 (0.765)	Data 0.001 (0.001)	Loss 2.9564 (2.7562)	Prec@1 28.906 (34.330)	Prec@5 67.969 (64.607)
Epoch: [22][13890/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.6026 (2.7562)	Prec@1 31.250 (34.330)	Prec@5 70.312 (64.608)
Epoch: [22][13900/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.5635 (2.7562)	Prec@1 33.594 (34.329)	Prec@5 67.969 (64.608)
Epoch: [22][13910/14090]	Time 0.772 (0.765)	Data 0.001 (0.001)	Loss 2.9935 (2.7562)	Prec@1 29.688 (34.328)	Prec@5 57.812 (64.607)
Epoch: [22][13920/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.7826 (2.7562)	Prec@1 35.156 (34.329)	Prec@5 61.719 (64.607)
Epoch: [22][13930/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.8757 (2.7562)	Prec@1 26.562 (34.328)	Prec@5 65.625 (64.607)
Epoch: [22][13940/14090]	Time 0.777 (0.765)	Data 0.001 (0.001)	Loss 2.6625 (2.7562)	Prec@1 39.062 (34.328)	Prec@5 63.281 (64.607)
Epoch: [22][13950/14090]	Time 0.879 (0.765)	Data 0.001 (0.001)	Loss 2.9076 (2.7562)	Prec@1 32.031 (34.328)	Prec@5 63.281 (64.607)
Epoch: [22][13960/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.9031 (2.7562)	Prec@1 28.906 (34.328)	Prec@5 64.844 (64.607)
Epoch: [22][13970/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.7224 (2.7562)	Prec@1 37.500 (34.329)	Prec@5 67.969 (64.608)
Epoch: [22][13980/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.6203 (2.7562)	Prec@1 35.938 (34.330)	Prec@5 67.188 (64.609)
Epoch: [22][13990/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.6578 (2.7562)	Prec@1 39.844 (34.330)	Prec@5 64.062 (64.608)
Epoch: [22][14000/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.6564 (2.7561)	Prec@1 38.281 (34.331)	Prec@5 64.062 (64.610)
Epoch: [22][14010/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.7142 (2.7561)	Prec@1 30.469 (34.331)	Prec@5 67.188 (64.611)
Epoch: [22][14020/14090]	Time 0.853 (0.765)	Data 0.001 (0.001)	Loss 2.6813 (2.7561)	Prec@1 36.719 (34.330)	Prec@5 63.281 (64.610)
Epoch: [22][14030/14090]	Time 0.766 (0.765)	Data 0.001 (0.001)	Loss 2.4799 (2.7561)	Prec@1 40.625 (34.331)	Prec@5 67.969 (64.609)
Epoch: [22][14040/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.5801 (2.7561)	Prec@1 43.750 (34.330)	Prec@5 65.625 (64.608)
Epoch: [22][14050/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.7163 (2.7561)	Prec@1 37.500 (34.330)	Prec@5 67.969 (64.608)
Epoch: [22][14060/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.5924 (2.7561)	Prec@1 32.031 (34.328)	Prec@5 68.750 (64.608)
Epoch: [22][14070/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.7237 (2.7561)	Prec@1 40.625 (34.330)	Prec@5 64.844 (64.610)
Epoch: [22][14080/14090]	Time 0.781 (0.765)	Data 0.000 (0.001)	Loss 2.7413 (2.7561)	Prec@1 36.719 (34.331)	Prec@5 62.500 (64.609)
Test: [0/286]	Time 3.816 (3.816)	Loss 1.2418 (1.2418)	Prec@1 70.312 (70.312)	Prec@5 89.844 (89.844)
Test: [10/286]	Time 0.307 (0.599)	Loss 2.2759 (2.3720)	Prec@1 36.719 (41.264)	Prec@5 77.344 (73.082)
Test: [20/286]	Time 0.231 (0.453)	Loss 1.8950 (2.4284)	Prec@1 53.906 (40.402)	Prec@5 84.375 (72.582)
Test: [30/286]	Time 0.233 (0.409)	Loss 2.7903 (2.3470)	Prec@1 39.062 (42.616)	Prec@5 60.156 (73.286)
Test: [40/286]	Time 0.740 (0.388)	Loss 2.2586 (2.3748)	Prec@1 36.719 (41.692)	Prec@5 77.344 (72.752)
Test: [50/286]	Time 0.296 (0.372)	Loss 1.7772 (2.4108)	Prec@1 66.406 (41.100)	Prec@5 78.125 (72.089)
Test: [60/286]	Time 0.233 (0.359)	Loss 3.6887 (2.4342)	Prec@1 28.125 (41.150)	Prec@5 45.312 (70.966)
Test: [70/286]	Time 0.231 (0.352)	Loss 2.1082 (2.4276)	Prec@1 52.344 (41.076)	Prec@5 78.125 (71.281)
Test: [80/286]	Time 0.455 (0.348)	Loss 3.2081 (2.4662)	Prec@1 21.875 (40.162)	Prec@5 55.469 (70.611)
Test: [90/286]	Time 0.444 (0.344)	Loss 3.0801 (2.4857)	Prec@1 26.562 (39.655)	Prec@5 53.906 (70.201)
Test: [100/286]	Time 0.291 (0.342)	Loss 2.8777 (2.4815)	Prec@1 12.500 (39.457)	Prec@5 67.188 (70.622)
Test: [110/286]	Time 0.307 (0.339)	Loss 2.4969 (2.4990)	Prec@1 36.719 (38.844)	Prec@5 72.656 (70.383)
Test: [120/286]	Time 0.225 (0.335)	Loss 2.6575 (2.4907)	Prec@1 42.969 (39.263)	Prec@5 64.062 (70.538)
Test: [130/286]	Time 0.720 (0.337)	Loss 1.4853 (2.4780)	Prec@1 59.375 (39.504)	Prec@5 91.406 (70.772)
Test: [140/286]	Time 0.232 (0.335)	Loss 2.7574 (2.4739)	Prec@1 36.719 (39.517)	Prec@5 67.969 (70.983)
Test: [150/286]	Time 0.329 (0.334)	Loss 3.1846 (2.4787)	Prec@1 25.781 (39.145)	Prec@5 56.250 (70.939)
Test: [160/286]	Time 0.280 (0.331)	Loss 3.5250 (2.4607)	Prec@1 10.156 (39.538)	Prec@5 40.625 (71.225)
Test: [170/286]	Time 0.235 (0.332)	Loss 2.2155 (2.4638)	Prec@1 46.094 (39.542)	Prec@5 75.000 (71.053)
Test: [180/286]	Time 0.228 (0.331)	Loss 2.8854 (2.4814)	Prec@1 42.188 (39.205)	Prec@5 68.750 (70.723)
Test: [190/286]	Time 0.241 (0.329)	Loss 3.7595 (2.4966)	Prec@1 2.344 (38.788)	Prec@5 47.656 (70.521)
Test: [200/286]	Time 0.318 (0.329)	Loss 2.5070 (2.4948)	Prec@1 36.719 (38.822)	Prec@5 76.562 (70.585)
Test: [210/286]	Time 0.748 (0.331)	Loss 2.9335 (2.5127)	Prec@1 21.094 (38.340)	Prec@5 72.656 (70.224)
Test: [220/286]	Time 0.235 (0.329)	Loss 3.8281 (2.5277)	Prec@1 11.719 (38.161)	Prec@5 44.531 (69.899)
Test: [230/286]	Time 0.239 (0.329)	Loss 1.7746 (2.5281)	Prec@1 57.031 (38.197)	Prec@5 78.906 (69.829)
Test: [240/286]	Time 0.237 (0.327)	Loss 2.4169 (2.5176)	Prec@1 31.250 (38.450)	Prec@5 74.219 (70.089)
Test: [250/286]	Time 0.460 (0.327)	Loss 2.3570 (2.5129)	Prec@1 44.531 (38.449)	Prec@5 76.562 (70.266)
Test: [260/286]	Time 0.236 (0.326)	Loss 2.4304 (2.5046)	Prec@1 41.406 (38.491)	Prec@5 71.094 (70.465)
Test: [270/286]	Time 0.238 (0.325)	Loss 1.5458 (2.4963)	Prec@1 61.719 (38.630)	Prec@5 89.844 (70.598)
Test: [280/286]	Time 0.320 (0.324)	Loss 1.9671 (2.4824)	Prec@1 53.906 (39.037)	Prec@5 78.125 (70.824)
 * Prec@1 39.239 Prec@5 70.942
Epoch: [23][0/14090]	Time 4.844 (4.844)	Data 4.076 (4.076)	Loss 2.9543 (2.9543)	Prec@1 27.344 (27.344)	Prec@5 54.688 (54.688)
Epoch: [23][10/14090]	Time 0.782 (1.119)	Data 0.001 (0.371)	Loss 2.9659 (2.6824)	Prec@1 25.000 (34.375)	Prec@5 62.500 (64.986)
Epoch: [23][20/14090]	Time 0.764 (0.949)	Data 0.001 (0.195)	Loss 2.8146 (2.7238)	Prec@1 33.594 (34.412)	Prec@5 64.844 (64.360)
Epoch: [23][30/14090]	Time 0.724 (0.885)	Data 0.001 (0.132)	Loss 2.7848 (2.7288)	Prec@1 35.156 (34.400)	Prec@5 65.625 (64.894)
Epoch: [23][40/14090]	Time 0.759 (0.856)	Data 0.001 (0.100)	Loss 2.7414 (2.7093)	Prec@1 31.250 (34.870)	Prec@5 63.281 (65.263)
Epoch: [23][50/14090]	Time 0.748 (0.836)	Data 0.001 (0.081)	Loss 2.9357 (2.7254)	Prec@1 32.812 (34.727)	Prec@5 61.719 (64.445)
Epoch: [23][60/14090]	Time 0.882 (0.826)	Data 0.001 (0.068)	Loss 2.6968 (2.7190)	Prec@1 33.594 (34.734)	Prec@5 64.844 (64.780)
Epoch: [23][70/14090]	Time 0.754 (0.817)	Data 0.001 (0.058)	Loss 2.8287 (2.7290)	Prec@1 32.031 (34.628)	Prec@5 60.938 (64.547)
Epoch: [23][80/14090]	Time 0.757 (0.810)	Data 0.001 (0.051)	Loss 2.9536 (2.7286)	Prec@1 25.000 (34.616)	Prec@5 62.500 (64.651)
Epoch: [23][90/14090]	Time 0.806 (0.807)	Data 0.001 (0.046)	Loss 2.7471 (2.7317)	Prec@1 32.031 (34.650)	Prec@5 65.625 (64.672)
Epoch: [23][100/14090]	Time 0.764 (0.804)	Data 0.001 (0.041)	Loss 2.7601 (2.7381)	Prec@1 35.156 (34.499)	Prec@5 62.500 (64.426)
Epoch: [23][110/14090]	Time 0.719 (0.802)	Data 0.001 (0.038)	Loss 2.6494 (2.7267)	Prec@1 34.375 (34.586)	Prec@5 70.312 (64.802)
Epoch: [23][120/14090]	Time 0.744 (0.800)	Data 0.001 (0.035)	Loss 2.8116 (2.7313)	Prec@1 33.594 (34.478)	Prec@5 64.844 (64.715)
Epoch: [23][130/14090]	Time 0.914 (0.798)	Data 0.001 (0.032)	Loss 2.5884 (2.7385)	Prec@1 32.812 (34.339)	Prec@5 71.875 (64.617)
Epoch: [23][140/14090]	Time 0.764 (0.795)	Data 0.001 (0.030)	Loss 2.7488 (2.7414)	Prec@1 32.031 (34.225)	Prec@5 60.938 (64.450)
Epoch: [23][150/14090]	Time 0.726 (0.793)	Data 0.001 (0.028)	Loss 2.5393 (2.7405)	Prec@1 39.062 (34.344)	Prec@5 69.531 (64.518)
Epoch: [23][160/14090]	Time 0.747 (0.792)	Data 0.001 (0.026)	Loss 2.8165 (2.7375)	Prec@1 34.375 (34.414)	Prec@5 67.969 (64.664)
Epoch: [23][170/14090]	Time 0.762 (0.791)	Data 0.001 (0.025)	Loss 2.8576 (2.7411)	Prec@1 32.031 (34.297)	Prec@5 60.938 (64.529)
Epoch: [23][180/14090]	Time 0.762 (0.789)	Data 0.001 (0.023)	Loss 2.6324 (2.7350)	Prec@1 35.938 (34.479)	Prec@5 66.406 (64.697)
Epoch: [23][190/14090]	Time 0.758 (0.788)	Data 0.001 (0.022)	Loss 2.7779 (2.7378)	Prec@1 29.688 (34.371)	Prec@5 59.375 (64.635)
Epoch: [23][200/14090]	Time 0.898 (0.787)	Data 0.001 (0.021)	Loss 2.5820 (2.7361)	Prec@1 36.719 (34.445)	Prec@5 64.844 (64.684)
Epoch: [23][210/14090]	Time 0.770 (0.787)	Data 0.001 (0.020)	Loss 2.7614 (2.7395)	Prec@1 36.719 (34.353)	Prec@5 67.188 (64.644)
Epoch: [23][220/14090]	Time 0.738 (0.785)	Data 0.001 (0.019)	Loss 2.7171 (2.7391)	Prec@1 37.500 (34.347)	Prec@5 68.750 (64.724)
Epoch: [23][230/14090]	Time 0.749 (0.785)	Data 0.001 (0.019)	Loss 2.8718 (2.7422)	Prec@1 33.594 (34.348)	Prec@5 63.281 (64.665)
Epoch: [23][240/14090]	Time 0.763 (0.784)	Data 0.001 (0.018)	Loss 2.6075 (2.7417)	Prec@1 36.719 (34.427)	Prec@5 67.969 (64.727)
Epoch: [23][250/14090]	Time 0.757 (0.784)	Data 0.001 (0.017)	Loss 2.8630 (2.7435)	Prec@1 26.562 (34.319)	Prec@5 60.156 (64.710)
Epoch: [23][260/14090]	Time 0.770 (0.783)	Data 0.001 (0.016)	Loss 3.0798 (2.7453)	Prec@1 27.344 (34.354)	Prec@5 60.156 (64.694)
Epoch: [23][270/14090]	Time 0.878 (0.782)	Data 0.001 (0.016)	Loss 2.5618 (2.7428)	Prec@1 39.062 (34.395)	Prec@5 63.281 (64.734)
Epoch: [23][280/14090]	Time 0.735 (0.781)	Data 0.001 (0.015)	Loss 2.6104 (2.7390)	Prec@1 35.156 (34.439)	Prec@5 64.844 (64.724)
Epoch: [23][290/14090]	Time 0.757 (0.781)	Data 0.001 (0.015)	Loss 2.8985 (2.7390)	Prec@1 28.125 (34.469)	Prec@5 61.719 (64.736)
Epoch: [23][300/14090]	Time 0.761 (0.781)	Data 0.001 (0.014)	Loss 2.6615 (2.7403)	Prec@1 38.281 (34.432)	Prec@5 70.312 (64.748)
Epoch: [23][310/14090]	Time 0.749 (0.780)	Data 0.001 (0.014)	Loss 3.1242 (2.7416)	Prec@1 29.688 (34.443)	Prec@5 57.812 (64.743)
Epoch: [23][320/14090]	Time 0.750 (0.780)	Data 0.001 (0.014)	Loss 2.4221 (2.7426)	Prec@1 43.750 (34.463)	Prec@5 75.781 (64.707)
Epoch: [23][330/14090]	Time 0.771 (0.780)	Data 0.001 (0.013)	Loss 3.1082 (2.7444)	Prec@1 30.469 (34.410)	Prec@5 56.250 (64.653)
Epoch: [23][340/14090]	Time 0.899 (0.780)	Data 0.001 (0.013)	Loss 2.6679 (2.7418)	Prec@1 35.156 (34.453)	Prec@5 64.844 (64.681)
Epoch: [23][350/14090]	Time 0.742 (0.779)	Data 0.001 (0.012)	Loss 2.6785 (2.7404)	Prec@1 35.156 (34.513)	Prec@5 66.406 (64.697)
Epoch: [23][360/14090]	Time 0.729 (0.779)	Data 0.001 (0.012)	Loss 2.7066 (2.7366)	Prec@1 32.812 (34.591)	Prec@5 64.844 (64.757)
Epoch: [23][370/14090]	Time 0.727 (0.779)	Data 0.001 (0.012)	Loss 3.0553 (2.7376)	Prec@1 23.438 (34.554)	Prec@5 60.156 (64.732)
Epoch: [23][380/14090]	Time 0.745 (0.778)	Data 0.001 (0.012)	Loss 2.9402 (2.7377)	Prec@1 38.281 (34.570)	Prec@5 59.375 (64.739)
Epoch: [23][390/14090]	Time 0.751 (0.778)	Data 0.001 (0.011)	Loss 2.5706 (2.7389)	Prec@1 39.844 (34.565)	Prec@5 68.750 (64.782)
Epoch: [23][400/14090]	Time 0.739 (0.778)	Data 0.001 (0.011)	Loss 2.8523 (2.7383)	Prec@1 27.344 (34.572)	Prec@5 67.188 (64.834)
Epoch: [23][410/14090]	Time 0.895 (0.778)	Data 0.001 (0.011)	Loss 3.0621 (2.7410)	Prec@1 25.781 (34.489)	Prec@5 56.250 (64.753)
Epoch: [23][420/14090]	Time 0.742 (0.777)	Data 0.001 (0.011)	Loss 2.7311 (2.7403)	Prec@1 28.125 (34.438)	Prec@5 64.062 (64.764)
Epoch: [23][430/14090]	Time 0.739 (0.777)	Data 0.001 (0.010)	Loss 2.4392 (2.7417)	Prec@1 40.625 (34.422)	Prec@5 71.094 (64.748)
Epoch: [23][440/14090]	Time 0.764 (0.777)	Data 0.001 (0.010)	Loss 2.6671 (2.7414)	Prec@1 35.156 (34.418)	Prec@5 64.844 (64.762)
Epoch: [23][450/14090]	Time 0.738 (0.777)	Data 0.001 (0.010)	Loss 2.7230 (2.7431)	Prec@1 39.844 (34.387)	Prec@5 63.281 (64.728)
Epoch: [23][460/14090]	Time 0.756 (0.776)	Data 0.001 (0.010)	Loss 2.5678 (2.7412)	Prec@1 37.500 (34.433)	Prec@5 61.719 (64.767)
Epoch: [23][470/14090]	Time 0.746 (0.776)	Data 0.001 (0.010)	Loss 2.4559 (2.7413)	Prec@1 42.969 (34.446)	Prec@5 71.875 (64.792)
Epoch: [23][480/14090]	Time 0.918 (0.776)	Data 0.001 (0.009)	Loss 2.7187 (2.7420)	Prec@1 31.250 (34.438)	Prec@5 67.969 (64.763)
Epoch: [23][490/14090]	Time 0.741 (0.776)	Data 0.001 (0.009)	Loss 2.9304 (2.7414)	Prec@1 33.594 (34.450)	Prec@5 64.062 (64.786)
Epoch: [23][500/14090]	Time 0.745 (0.775)	Data 0.001 (0.009)	Loss 2.8164 (2.7417)	Prec@1 35.938 (34.445)	Prec@5 65.625 (64.794)
Epoch: [23][510/14090]	Time 0.745 (0.775)	Data 0.001 (0.009)	Loss 2.4438 (2.7416)	Prec@1 43.750 (34.467)	Prec@5 71.094 (64.822)
Epoch: [23][520/14090]	Time 0.740 (0.775)	Data 0.001 (0.009)	Loss 2.7727 (2.7408)	Prec@1 31.250 (34.457)	Prec@5 68.750 (64.857)
Epoch: [23][530/14090]	Time 0.744 (0.775)	Data 0.001 (0.009)	Loss 2.5962 (2.7399)	Prec@1 33.594 (34.463)	Prec@5 71.875 (64.881)
Epoch: [23][540/14090]	Time 0.734 (0.775)	Data 0.001 (0.008)	Loss 2.7421 (2.7380)	Prec@1 32.812 (34.476)	Prec@5 68.750 (64.916)
Epoch: [23][550/14090]	Time 0.858 (0.774)	Data 0.001 (0.008)	Loss 2.9111 (2.7372)	Prec@1 30.469 (34.493)	Prec@5 60.938 (64.939)
Epoch: [23][560/14090]	Time 0.725 (0.774)	Data 0.001 (0.008)	Loss 2.8853 (2.7375)	Prec@1 35.156 (34.479)	Prec@5 64.844 (64.964)
Epoch: [23][570/14090]	Time 0.776 (0.774)	Data 0.001 (0.008)	Loss 2.8647 (2.7375)	Prec@1 35.156 (34.504)	Prec@5 60.938 (64.957)
Epoch: [23][580/14090]	Time 0.749 (0.774)	Data 0.001 (0.008)	Loss 2.8198 (2.7372)	Prec@1 35.156 (34.508)	Prec@5 64.844 (64.969)
Epoch: [23][590/14090]	Time 0.756 (0.774)	Data 0.001 (0.008)	Loss 2.9958 (2.7392)	Prec@1 27.344 (34.502)	Prec@5 60.938 (64.932)
Epoch: [23][600/14090]	Time 0.755 (0.774)	Data 0.001 (0.008)	Loss 2.2223 (2.7389)	Prec@1 44.531 (34.495)	Prec@5 78.906 (64.930)
Epoch: [23][610/14090]	Time 0.731 (0.774)	Data 0.001 (0.008)	Loss 3.1316 (2.7389)	Prec@1 34.375 (34.507)	Prec@5 59.375 (64.959)
Epoch: [23][620/14090]	Time 0.824 (0.773)	Data 0.001 (0.007)	Loss 2.5767 (2.7385)	Prec@1 42.188 (34.528)	Prec@5 64.062 (64.963)
Epoch: [23][630/14090]	Time 0.761 (0.773)	Data 0.001 (0.007)	Loss 2.4796 (2.7375)	Prec@1 39.844 (34.517)	Prec@5 65.625 (64.979)
Epoch: [23][640/14090]	Time 0.775 (0.773)	Data 0.001 (0.007)	Loss 2.4070 (2.7365)	Prec@1 41.406 (34.530)	Prec@5 71.094 (64.990)
Epoch: [23][650/14090]	Time 0.748 (0.773)	Data 0.001 (0.007)	Loss 2.9680 (2.7379)	Prec@1 32.812 (34.523)	Prec@5 63.281 (64.978)
Epoch: [23][660/14090]	Time 0.763 (0.773)	Data 0.001 (0.007)	Loss 2.7988 (2.7376)	Prec@1 35.938 (34.536)	Prec@5 63.281 (64.982)
Epoch: [23][670/14090]	Time 0.757 (0.773)	Data 0.001 (0.007)	Loss 2.6038 (2.7367)	Prec@1 31.250 (34.558)	Prec@5 70.312 (65.004)
Epoch: [23][680/14090]	Time 0.768 (0.773)	Data 0.001 (0.007)	Loss 2.4729 (2.7358)	Prec@1 39.844 (34.565)	Prec@5 69.531 (65.023)
Epoch: [23][690/14090]	Time 0.827 (0.773)	Data 0.001 (0.007)	Loss 2.7836 (2.7370)	Prec@1 32.812 (34.540)	Prec@5 67.188 (65.009)
Epoch: [23][700/14090]	Time 0.750 (0.773)	Data 0.001 (0.007)	Loss 2.5780 (2.7377)	Prec@1 38.281 (34.540)	Prec@5 64.844 (64.972)
Epoch: [23][710/14090]	Time 0.730 (0.773)	Data 0.001 (0.007)	Loss 2.7563 (2.7379)	Prec@1 33.594 (34.509)	Prec@5 67.188 (64.985)
Epoch: [23][720/14090]	Time 0.763 (0.773)	Data 0.001 (0.007)	Loss 2.6963 (2.7374)	Prec@1 36.719 (34.538)	Prec@5 65.625 (65.006)
Epoch: [23][730/14090]	Time 0.738 (0.773)	Data 0.001 (0.006)	Loss 2.5005 (2.7369)	Prec@1 37.500 (34.545)	Prec@5 69.531 (65.017)
Epoch: [23][740/14090]	Time 0.754 (0.773)	Data 0.001 (0.006)	Loss 2.9519 (2.7371)	Prec@1 29.688 (34.546)	Prec@5 58.594 (65.011)
Epoch: [23][750/14090]	Time 0.753 (0.772)	Data 0.001 (0.006)	Loss 2.6672 (2.7374)	Prec@1 35.938 (34.534)	Prec@5 66.406 (65.009)
Epoch: [23][760/14090]	Time 0.998 (0.773)	Data 0.001 (0.006)	Loss 2.2353 (2.7363)	Prec@1 41.406 (34.558)	Prec@5 71.875 (65.036)
Epoch: [23][770/14090]	Time 0.733 (0.772)	Data 0.001 (0.006)	Loss 2.5263 (2.7366)	Prec@1 37.500 (34.544)	Prec@5 70.312 (65.035)
Epoch: [23][780/14090]	Time 0.729 (0.772)	Data 0.001 (0.006)	Loss 2.8244 (2.7366)	Prec@1 33.594 (34.554)	Prec@5 64.062 (65.034)
Epoch: [23][790/14090]	Time 0.740 (0.772)	Data 0.001 (0.006)	Loss 2.6927 (2.7366)	Prec@1 40.625 (34.550)	Prec@5 62.500 (65.036)
Epoch: [23][800/14090]	Time 0.757 (0.772)	Data 0.001 (0.006)	Loss 2.8964 (2.7372)	Prec@1 34.375 (34.548)	Prec@5 62.500 (65.031)
Epoch: [23][810/14090]	Time 0.726 (0.772)	Data 0.001 (0.006)	Loss 2.8859 (2.7380)	Prec@1 30.469 (34.509)	Prec@5 63.281 (65.021)
Epoch: [23][820/14090]	Time 0.738 (0.772)	Data 0.001 (0.006)	Loss 2.6301 (2.7382)	Prec@1 35.156 (34.516)	Prec@5 67.969 (65.015)
Epoch: [23][830/14090]	Time 0.827 (0.772)	Data 0.001 (0.006)	Loss 2.6258 (2.7395)	Prec@1 35.938 (34.468)	Prec@5 67.969 (64.988)
Epoch: [23][840/14090]	Time 0.727 (0.772)	Data 0.001 (0.006)	Loss 2.9930 (2.7398)	Prec@1 31.250 (34.460)	Prec@5 63.281 (64.992)
Epoch: [23][850/14090]	Time 0.745 (0.771)	Data 0.001 (0.006)	Loss 2.6160 (2.7392)	Prec@1 39.844 (34.470)	Prec@5 64.062 (64.992)
Epoch: [23][860/14090]	Time 0.734 (0.772)	Data 0.001 (0.006)	Loss 2.7590 (2.7392)	Prec@1 42.188 (34.486)	Prec@5 60.938 (64.970)
Epoch: [23][870/14090]	Time 0.757 (0.772)	Data 0.001 (0.006)	Loss 2.9628 (2.7400)	Prec@1 25.781 (34.463)	Prec@5 58.594 (64.951)
Epoch: [23][880/14090]	Time 0.739 (0.772)	Data 0.001 (0.006)	Loss 2.8268 (2.7405)	Prec@1 38.281 (34.459)	Prec@5 60.156 (64.938)
Epoch: [23][890/14090]	Time 0.755 (0.772)	Data 0.001 (0.005)	Loss 2.4305 (2.7398)	Prec@1 38.281 (34.473)	Prec@5 71.094 (64.949)
Epoch: [23][900/14090]	Time 0.847 (0.772)	Data 0.001 (0.005)	Loss 2.7848 (2.7404)	Prec@1 30.469 (34.454)	Prec@5 66.406 (64.931)
Epoch: [23][910/14090]	Time 0.733 (0.772)	Data 0.001 (0.005)	Loss 2.9305 (2.7397)	Prec@1 35.938 (34.469)	Prec@5 59.375 (64.957)
Epoch: [23][920/14090]	Time 0.743 (0.772)	Data 0.001 (0.005)	Loss 3.0676 (2.7405)	Prec@1 25.781 (34.450)	Prec@5 57.031 (64.938)
Epoch: [23][930/14090]	Time 0.774 (0.772)	Data 0.001 (0.005)	Loss 2.7511 (2.7405)	Prec@1 34.375 (34.459)	Prec@5 66.406 (64.937)
Epoch: [23][940/14090]	Time 0.750 (0.771)	Data 0.001 (0.005)	Loss 2.6493 (2.7395)	Prec@1 33.594 (34.475)	Prec@5 64.062 (64.954)
Epoch: [23][950/14090]	Time 0.738 (0.771)	Data 0.001 (0.005)	Loss 2.7700 (2.7396)	Prec@1 32.812 (34.461)	Prec@5 62.500 (64.954)
Epoch: [23][960/14090]	Time 0.754 (0.771)	Data 0.001 (0.005)	Loss 2.5554 (2.7384)	Prec@1 36.719 (34.490)	Prec@5 67.188 (64.970)
Epoch: [23][970/14090]	Time 0.863 (0.771)	Data 0.001 (0.005)	Loss 2.4538 (2.7390)	Prec@1 39.062 (34.480)	Prec@5 71.875 (64.964)
Epoch: [23][980/14090]	Time 0.755 (0.771)	Data 0.001 (0.005)	Loss 2.7850 (2.7385)	Prec@1 35.156 (34.475)	Prec@5 59.375 (64.954)
Epoch: [23][990/14090]	Time 0.776 (0.771)	Data 0.001 (0.005)	Loss 2.5139 (2.7383)	Prec@1 42.188 (34.491)	Prec@5 68.750 (64.968)
Epoch: [23][1000/14090]	Time 0.784 (0.771)	Data 0.001 (0.005)	Loss 2.7809 (2.7382)	Prec@1 33.594 (34.501)	Prec@5 60.156 (64.973)
Epoch: [23][1010/14090]	Time 0.731 (0.771)	Data 0.001 (0.005)	Loss 2.6303 (2.7387)	Prec@1 33.594 (34.490)	Prec@5 64.844 (64.957)
Epoch: [23][1020/14090]	Time 0.741 (0.771)	Data 0.001 (0.005)	Loss 2.8104 (2.7389)	Prec@1 37.500 (34.498)	Prec@5 64.062 (64.948)
Epoch: [23][1030/14090]	Time 0.733 (0.771)	Data 0.001 (0.005)	Loss 2.9361 (2.7382)	Prec@1 32.031 (34.505)	Prec@5 60.156 (64.969)
Epoch: [23][1040/14090]	Time 0.867 (0.771)	Data 0.001 (0.005)	Loss 2.4554 (2.7374)	Prec@1 41.406 (34.521)	Prec@5 71.094 (64.987)
Epoch: [23][1050/14090]	Time 0.760 (0.771)	Data 0.001 (0.005)	Loss 2.7445 (2.7369)	Prec@1 39.844 (34.526)	Prec@5 64.844 (64.996)
Epoch: [23][1060/14090]	Time 0.741 (0.771)	Data 0.001 (0.005)	Loss 2.7826 (2.7367)	Prec@1 32.812 (34.530)	Prec@5 64.062 (64.988)
Epoch: [23][1070/14090]	Time 0.756 (0.771)	Data 0.001 (0.005)	Loss 2.8576 (2.7365)	Prec@1 32.031 (34.529)	Prec@5 64.062 (64.985)
Epoch: [23][1080/14090]	Time 0.739 (0.771)	Data 0.001 (0.005)	Loss 3.0311 (2.7371)	Prec@1 33.594 (34.535)	Prec@5 65.625 (64.970)
Epoch: [23][1090/14090]	Time 0.748 (0.771)	Data 0.001 (0.005)	Loss 2.8806 (2.7380)	Prec@1 34.375 (34.519)	Prec@5 66.406 (64.946)
Epoch: [23][1100/14090]	Time 0.759 (0.771)	Data 0.001 (0.005)	Loss 2.7202 (2.7378)	Prec@1 28.125 (34.507)	Prec@5 61.719 (64.946)
Epoch: [23][1110/14090]	Time 0.861 (0.771)	Data 0.001 (0.005)	Loss 2.5947 (2.7380)	Prec@1 35.156 (34.506)	Prec@5 67.969 (64.934)
Epoch: [23][1120/14090]	Time 0.749 (0.771)	Data 0.001 (0.005)	Loss 3.0266 (2.7387)	Prec@1 32.812 (34.500)	Prec@5 64.844 (64.935)
Epoch: [23][1130/14090]	Time 0.743 (0.771)	Data 0.001 (0.004)	Loss 2.6693 (2.7382)	Prec@1 30.469 (34.517)	Prec@5 67.188 (64.943)
Epoch: [23][1140/14090]	Time 0.733 (0.771)	Data 0.001 (0.004)	Loss 2.5138 (2.7380)	Prec@1 36.719 (34.514)	Prec@5 69.531 (64.942)
Epoch: [23][1150/14090]	Time 0.721 (0.771)	Data 0.001 (0.004)	Loss 2.8166 (2.7379)	Prec@1 32.812 (34.516)	Prec@5 65.625 (64.949)
Epoch: [23][1160/14090]	Time 0.729 (0.771)	Data 0.001 (0.004)	Loss 2.7661 (2.7377)	Prec@1 32.031 (34.520)	Prec@5 66.406 (64.947)
Epoch: [23][1170/14090]	Time 0.783 (0.771)	Data 0.001 (0.004)	Loss 2.7362 (2.7371)	Prec@1 32.812 (34.515)	Prec@5 62.500 (64.968)
Epoch: [23][1180/14090]	Time 0.879 (0.771)	Data 0.001 (0.004)	Loss 2.8825 (2.7375)	Prec@1 32.031 (34.509)	Prec@5 63.281 (64.954)
Epoch: [23][1190/14090]	Time 0.738 (0.771)	Data 0.001 (0.004)	Loss 2.4408 (2.7382)	Prec@1 33.594 (34.497)	Prec@5 69.531 (64.941)
Epoch: [23][1200/14090]	Time 0.748 (0.771)	Data 0.001 (0.004)	Loss 2.7089 (2.7377)	Prec@1 33.594 (34.525)	Prec@5 65.625 (64.948)
Epoch: [23][1210/14090]	Time 0.738 (0.771)	Data 0.001 (0.004)	Loss 3.0469 (2.7381)	Prec@1 29.688 (34.520)	Prec@5 64.062 (64.936)
Epoch: [23][1220/14090]	Time 0.767 (0.771)	Data 0.001 (0.004)	Loss 2.7921 (2.7381)	Prec@1 30.469 (34.518)	Prec@5 62.500 (64.930)
Epoch: [23][1230/14090]	Time 0.756 (0.771)	Data 0.001 (0.004)	Loss 2.6596 (2.7378)	Prec@1 32.031 (34.524)	Prec@5 67.188 (64.939)
Epoch: [23][1240/14090]	Time 0.772 (0.771)	Data 0.001 (0.004)	Loss 2.5363 (2.7383)	Prec@1 39.062 (34.518)	Prec@5 71.094 (64.934)
Epoch: [23][1250/14090]	Time 0.928 (0.771)	Data 0.001 (0.004)	Loss 2.5144 (2.7385)	Prec@1 35.938 (34.510)	Prec@5 65.625 (64.917)
Epoch: [23][1260/14090]	Time 0.722 (0.771)	Data 0.001 (0.004)	Loss 2.3893 (2.7386)	Prec@1 41.406 (34.517)	Prec@5 76.562 (64.924)
Epoch: [23][1270/14090]	Time 0.764 (0.771)	Data 0.001 (0.004)	Loss 2.6332 (2.7394)	Prec@1 38.281 (34.497)	Prec@5 69.531 (64.906)
Epoch: [23][1280/14090]	Time 0.754 (0.771)	Data 0.001 (0.004)	Loss 2.6935 (2.7394)	Prec@1 35.156 (34.482)	Prec@5 63.281 (64.907)
Epoch: [23][1290/14090]	Time 0.724 (0.771)	Data 0.001 (0.004)	Loss 2.7253 (2.7399)	Prec@1 34.375 (34.468)	Prec@5 67.188 (64.902)
Epoch: [23][1300/14090]	Time 0.736 (0.771)	Data 0.001 (0.004)	Loss 2.7307 (2.7396)	Prec@1 35.938 (34.481)	Prec@5 68.750 (64.907)
Epoch: [23][1310/14090]	Time 0.732 (0.771)	Data 0.001 (0.004)	Loss 2.5838 (2.7388)	Prec@1 35.938 (34.497)	Prec@5 71.094 (64.921)
Epoch: [23][1320/14090]	Time 0.898 (0.771)	Data 0.001 (0.004)	Loss 2.9346 (2.7396)	Prec@1 25.000 (34.484)	Prec@5 59.375 (64.912)
Epoch: [23][1330/14090]	Time 0.738 (0.771)	Data 0.001 (0.004)	Loss 2.6607 (2.7394)	Prec@1 35.938 (34.480)	Prec@5 64.844 (64.914)
Epoch: [23][1340/14090]	Time 0.740 (0.770)	Data 0.001 (0.004)	Loss 2.8807 (2.7398)	Prec@1 32.031 (34.479)	Prec@5 63.281 (64.895)
Epoch: [23][1350/14090]	Time 0.751 (0.770)	Data 0.001 (0.004)	Loss 2.7250 (2.7406)	Prec@1 33.594 (34.463)	Prec@5 64.062 (64.873)
Epoch: [23][1360/14090]	Time 0.771 (0.770)	Data 0.001 (0.004)	Loss 2.8229 (2.7407)	Prec@1 36.719 (34.467)	Prec@5 61.719 (64.875)
Epoch: [23][1370/14090]	Time 0.750 (0.770)	Data 0.001 (0.004)	Loss 2.7752 (2.7399)	Prec@1 35.938 (34.490)	Prec@5 65.625 (64.889)
Epoch: [23][1380/14090]	Time 0.772 (0.770)	Data 0.001 (0.004)	Loss 2.5544 (2.7396)	Prec@1 33.594 (34.500)	Prec@5 67.969 (64.891)
Epoch: [23][1390/14090]	Time 0.873 (0.770)	Data 0.001 (0.004)	Loss 2.9233 (2.7396)	Prec@1 28.906 (34.509)	Prec@5 62.500 (64.898)
Epoch: [23][1400/14090]	Time 0.774 (0.770)	Data 0.001 (0.004)	Loss 2.8448 (2.7402)	Prec@1 37.500 (34.505)	Prec@5 65.625 (64.894)
Epoch: [23][1410/14090]	Time 0.744 (0.770)	Data 0.001 (0.004)	Loss 2.9021 (2.7399)	Prec@1 39.062 (34.515)	Prec@5 59.375 (64.896)
Epoch: [23][1420/14090]	Time 0.782 (0.770)	Data 0.001 (0.004)	Loss 2.7928 (2.7403)	Prec@1 35.156 (34.515)	Prec@5 64.062 (64.890)
Epoch: [23][1430/14090]	Time 0.740 (0.770)	Data 0.001 (0.004)	Loss 2.6497 (2.7403)	Prec@1 37.500 (34.522)	Prec@5 67.188 (64.897)
Epoch: [23][1440/14090]	Time 0.755 (0.770)	Data 0.001 (0.004)	Loss 2.7165 (2.7405)	Prec@1 36.719 (34.516)	Prec@5 64.062 (64.895)
Epoch: [23][1450/14090]	Time 0.760 (0.770)	Data 0.001 (0.004)	Loss 2.7140 (2.7410)	Prec@1 29.688 (34.504)	Prec@5 65.625 (64.877)
Epoch: [23][1460/14090]	Time 0.857 (0.770)	Data 0.001 (0.004)	Loss 2.6841 (2.7415)	Prec@1 28.906 (34.489)	Prec@5 64.062 (64.865)
Epoch: [23][1470/14090]	Time 0.755 (0.770)	Data 0.001 (0.004)	Loss 2.5471 (2.7411)	Prec@1 35.156 (34.486)	Prec@5 72.656 (64.879)
Epoch: [23][1480/14090]	Time 0.762 (0.770)	Data 0.001 (0.004)	Loss 2.9171 (2.7411)	Prec@1 25.781 (34.479)	Prec@5 62.500 (64.881)
Epoch: [23][1490/14090]	Time 0.786 (0.770)	Data 0.001 (0.004)	Loss 2.7163 (2.7411)	Prec@1 39.844 (34.475)	Prec@5 63.281 (64.882)
Epoch: [23][1500/14090]	Time 0.734 (0.770)	Data 0.001 (0.004)	Loss 2.7669 (2.7405)	Prec@1 32.812 (34.483)	Prec@5 61.719 (64.885)
Epoch: [23][1510/14090]	Time 0.768 (0.770)	Data 0.001 (0.004)	Loss 2.6492 (2.7404)	Prec@1 37.500 (34.491)	Prec@5 61.719 (64.887)
Epoch: [23][1520/14090]	Time 0.758 (0.770)	Data 0.001 (0.004)	Loss 2.6399 (2.7408)	Prec@1 41.406 (34.487)	Prec@5 71.094 (64.885)
Epoch: [23][1530/14090]	Time 0.860 (0.770)	Data 0.001 (0.004)	Loss 2.7241 (2.7400)	Prec@1 34.375 (34.502)	Prec@5 64.062 (64.890)
Epoch: [23][1540/14090]	Time 0.745 (0.770)	Data 0.001 (0.004)	Loss 2.4162 (2.7404)	Prec@1 42.969 (34.498)	Prec@5 71.094 (64.890)
Epoch: [23][1550/14090]	Time 0.746 (0.770)	Data 0.001 (0.004)	Loss 2.6492 (2.7405)	Prec@1 32.812 (34.500)	Prec@5 71.875 (64.891)
Epoch: [23][1560/14090]	Time 0.746 (0.770)	Data 0.001 (0.003)	Loss 2.6486 (2.7413)	Prec@1 32.812 (34.484)	Prec@5 69.531 (64.874)
Epoch: [23][1570/14090]	Time 0.736 (0.770)	Data 0.001 (0.003)	Loss 2.6891 (2.7412)	Prec@1 33.594 (34.483)	Prec@5 71.094 (64.886)
Epoch: [23][1580/14090]	Time 0.752 (0.770)	Data 0.001 (0.003)	Loss 2.8247 (2.7407)	Prec@1 34.375 (34.494)	Prec@5 64.844 (64.901)
Epoch: [23][1590/14090]	Time 0.751 (0.770)	Data 0.001 (0.003)	Loss 2.7857 (2.7412)	Prec@1 32.031 (34.487)	Prec@5 65.625 (64.877)
Epoch: [23][1600/14090]	Time 1.017 (0.770)	Data 0.001 (0.003)	Loss 2.6967 (2.7409)	Prec@1 35.938 (34.484)	Prec@5 65.625 (64.881)
Epoch: [23][1610/14090]	Time 0.739 (0.770)	Data 0.001 (0.003)	Loss 2.8330 (2.7406)	Prec@1 27.344 (34.476)	Prec@5 60.156 (64.890)
Epoch: [23][1620/14090]	Time 0.751 (0.770)	Data 0.001 (0.003)	Loss 2.8272 (2.7408)	Prec@1 37.500 (34.480)	Prec@5 63.281 (64.895)
Epoch: [23][1630/14090]	Time 0.757 (0.770)	Data 0.001 (0.003)	Loss 2.8455 (2.7407)	Prec@1 35.938 (34.487)	Prec@5 65.625 (64.905)
Epoch: [23][1640/14090]	Time 0.735 (0.770)	Data 0.001 (0.003)	Loss 2.7061 (2.7408)	Prec@1 33.594 (34.489)	Prec@5 62.500 (64.901)
Epoch: [23][1650/14090]	Time 0.738 (0.770)	Data 0.001 (0.003)	Loss 2.5635 (2.7406)	Prec@1 37.500 (34.490)	Prec@5 67.188 (64.910)
Epoch: [23][1660/14090]	Time 0.739 (0.770)	Data 0.001 (0.003)	Loss 2.7686 (2.7404)	Prec@1 32.031 (34.486)	Prec@5 65.625 (64.917)
Epoch: [23][1670/14090]	Time 0.861 (0.770)	Data 0.001 (0.003)	Loss 2.4834 (2.7401)	Prec@1 36.719 (34.503)	Prec@5 68.750 (64.918)
Epoch: [23][1680/14090]	Time 0.757 (0.770)	Data 0.001 (0.003)	Loss 2.7786 (2.7402)	Prec@1 31.250 (34.496)	Prec@5 62.500 (64.915)
Epoch: [23][1690/14090]	Time 0.763 (0.769)	Data 0.002 (0.003)	Loss 2.7413 (2.7401)	Prec@1 35.156 (34.484)	Prec@5 61.719 (64.916)
Epoch: [23][1700/14090]	Time 0.776 (0.770)	Data 0.001 (0.003)	Loss 2.9567 (2.7403)	Prec@1 32.812 (34.481)	Prec@5 57.031 (64.917)
Epoch: [23][1710/14090]	Time 0.743 (0.769)	Data 0.001 (0.003)	Loss 2.7585 (2.7404)	Prec@1 33.594 (34.479)	Prec@5 63.281 (64.916)
Epoch: [23][1720/14090]	Time 0.739 (0.770)	Data 0.001 (0.003)	Loss 2.7496 (2.7406)	Prec@1 29.688 (34.484)	Prec@5 63.281 (64.908)
Epoch: [23][1730/14090]	Time 0.746 (0.769)	Data 0.001 (0.003)	Loss 2.6799 (2.7410)	Prec@1 33.594 (34.476)	Prec@5 70.312 (64.904)
Epoch: [23][1740/14090]	Time 0.859 (0.770)	Data 0.001 (0.003)	Loss 2.7039 (2.7412)	Prec@1 35.156 (34.481)	Prec@5 67.188 (64.898)
Epoch: [23][1750/14090]	Time 0.782 (0.770)	Data 0.001 (0.003)	Loss 2.8344 (2.7411)	Prec@1 36.719 (34.483)	Prec@5 58.594 (64.901)
Epoch: [23][1760/14090]	Time 0.725 (0.770)	Data 0.002 (0.003)	Loss 2.7483 (2.7408)	Prec@1 34.375 (34.481)	Prec@5 66.406 (64.912)
Epoch: [23][1770/14090]	Time 0.769 (0.770)	Data 0.001 (0.003)	Loss 2.7070 (2.7405)	Prec@1 32.031 (34.484)	Prec@5 65.625 (64.910)
Epoch: [23][1780/14090]	Time 0.741 (0.769)	Data 0.001 (0.003)	Loss 2.8897 (2.7404)	Prec@1 29.688 (34.481)	Prec@5 61.719 (64.910)
Epoch: [23][1790/14090]	Time 0.755 (0.770)	Data 0.001 (0.003)	Loss 2.5691 (2.7405)	Prec@1 37.500 (34.487)	Prec@5 70.312 (64.908)
Epoch: [23][1800/14090]	Time 0.739 (0.769)	Data 0.001 (0.003)	Loss 2.6176 (2.7406)	Prec@1 33.594 (34.487)	Prec@5 69.531 (64.913)
Epoch: [23][1810/14090]	Time 0.878 (0.769)	Data 0.001 (0.003)	Loss 2.5473 (2.7398)	Prec@1 38.281 (34.498)	Prec@5 70.312 (64.932)
Epoch: [23][1820/14090]	Time 0.751 (0.769)	Data 0.001 (0.003)	Loss 2.6906 (2.7401)	Prec@1 34.375 (34.490)	Prec@5 65.625 (64.923)
Epoch: [23][1830/14090]	Time 0.746 (0.769)	Data 0.001 (0.003)	Loss 2.9165 (2.7404)	Prec@1 31.250 (34.474)	Prec@5 65.625 (64.920)
Epoch: [23][1840/14090]	Time 0.735 (0.769)	Data 0.001 (0.003)	Loss 2.8326 (2.7408)	Prec@1 38.281 (34.473)	Prec@5 63.281 (64.923)
Epoch: [23][1850/14090]	Time 0.750 (0.769)	Data 0.001 (0.003)	Loss 2.6099 (2.7411)	Prec@1 28.906 (34.467)	Prec@5 68.750 (64.915)
Epoch: [23][1860/14090]	Time 0.754 (0.769)	Data 0.001 (0.003)	Loss 2.7944 (2.7412)	Prec@1 37.500 (34.471)	Prec@5 64.062 (64.916)
Epoch: [23][1870/14090]	Time 0.754 (0.769)	Data 0.001 (0.003)	Loss 2.8242 (2.7413)	Prec@1 32.031 (34.474)	Prec@5 66.406 (64.921)
Epoch: [23][1880/14090]	Time 0.879 (0.769)	Data 0.001 (0.003)	Loss 2.7682 (2.7413)	Prec@1 35.156 (34.468)	Prec@5 63.281 (64.919)
Epoch: [23][1890/14090]	Time 0.739 (0.769)	Data 0.001 (0.003)	Loss 2.6196 (2.7412)	Prec@1 32.812 (34.473)	Prec@5 63.281 (64.914)
Epoch: [23][1900/14090]	Time 0.750 (0.769)	Data 0.001 (0.003)	Loss 2.8239 (2.7412)	Prec@1 27.344 (34.474)	Prec@5 62.500 (64.914)
Epoch: [23][1910/14090]	Time 0.739 (0.769)	Data 0.001 (0.003)	Loss 2.8892 (2.7413)	Prec@1 28.906 (34.468)	Prec@5 64.844 (64.918)
Epoch: [23][1920/14090]	Time 0.765 (0.769)	Data 0.001 (0.003)	Loss 2.6858 (2.7421)	Prec@1 35.938 (34.456)	Prec@5 66.406 (64.909)
Epoch: [23][1930/14090]	Time 0.726 (0.769)	Data 0.001 (0.003)	Loss 2.7496 (2.7423)	Prec@1 36.719 (34.462)	Prec@5 62.500 (64.902)
Epoch: [23][1940/14090]	Time 0.750 (0.769)	Data 0.001 (0.003)	Loss 2.8620 (2.7424)	Prec@1 31.250 (34.460)	Prec@5 65.625 (64.901)
Epoch: [23][1950/14090]	Time 0.878 (0.769)	Data 0.001 (0.003)	Loss 2.6607 (2.7424)	Prec@1 34.375 (34.459)	Prec@5 66.406 (64.903)
Epoch: [23][1960/14090]	Time 0.758 (0.769)	Data 0.001 (0.003)	Loss 3.0354 (2.7428)	Prec@1 28.906 (34.452)	Prec@5 60.938 (64.898)
Epoch: [23][1970/14090]	Time 0.779 (0.769)	Data 0.001 (0.003)	Loss 2.7765 (2.7425)	Prec@1 36.719 (34.452)	Prec@5 64.844 (64.910)
Epoch: [23][1980/14090]	Time 0.758 (0.769)	Data 0.001 (0.003)	Loss 2.9348 (2.7429)	Prec@1 31.250 (34.443)	Prec@5 62.500 (64.905)
Epoch: [23][1990/14090]	Time 0.731 (0.769)	Data 0.001 (0.003)	Loss 2.8451 (2.7431)	Prec@1 31.250 (34.433)	Prec@5 66.406 (64.901)
Epoch: [23][2000/14090]	Time 0.748 (0.769)	Data 0.001 (0.003)	Loss 2.5959 (2.7431)	Prec@1 36.719 (34.434)	Prec@5 70.312 (64.903)
Epoch: [23][2010/14090]	Time 0.785 (0.769)	Data 0.001 (0.003)	Loss 2.9381 (2.7428)	Prec@1 32.031 (34.439)	Prec@5 57.031 (64.914)
Epoch: [23][2020/14090]	Time 0.853 (0.769)	Data 0.001 (0.003)	Loss 2.8608 (2.7426)	Prec@1 25.781 (34.438)	Prec@5 58.594 (64.919)
Epoch: [23][2030/14090]	Time 0.753 (0.769)	Data 0.001 (0.003)	Loss 2.9882 (2.7428)	Prec@1 30.469 (34.430)	Prec@5 66.406 (64.923)
Epoch: [23][2040/14090]	Time 0.727 (0.769)	Data 0.001 (0.003)	Loss 3.1392 (2.7427)	Prec@1 25.781 (34.427)	Prec@5 60.938 (64.927)
Epoch: [23][2050/14090]	Time 0.736 (0.769)	Data 0.001 (0.003)	Loss 2.8039 (2.7432)	Prec@1 35.156 (34.417)	Prec@5 61.719 (64.924)
Epoch: [23][2060/14090]	Time 0.746 (0.769)	Data 0.001 (0.003)	Loss 2.9673 (2.7435)	Prec@1 32.031 (34.416)	Prec@5 61.719 (64.914)
Epoch: [23][2070/14090]	Time 0.757 (0.769)	Data 0.001 (0.003)	Loss 2.7824 (2.7434)	Prec@1 35.938 (34.413)	Prec@5 60.156 (64.915)
Epoch: [23][2080/14090]	Time 0.722 (0.769)	Data 0.001 (0.003)	Loss 2.7354 (2.7437)	Prec@1 33.594 (34.407)	Prec@5 64.062 (64.908)
Epoch: [23][2090/14090]	Time 0.888 (0.769)	Data 0.001 (0.003)	Loss 2.7997 (2.7438)	Prec@1 32.812 (34.400)	Prec@5 59.375 (64.902)
Epoch: [23][2100/14090]	Time 0.748 (0.769)	Data 0.001 (0.003)	Loss 2.6232 (2.7438)	Prec@1 35.938 (34.405)	Prec@5 69.531 (64.900)
Epoch: [23][2110/14090]	Time 0.766 (0.769)	Data 0.001 (0.003)	Loss 2.7159 (2.7435)	Prec@1 32.031 (34.408)	Prec@5 65.625 (64.907)
Epoch: [23][2120/14090]	Time 0.724 (0.769)	Data 0.001 (0.003)	Loss 2.8948 (2.7438)	Prec@1 28.906 (34.407)	Prec@5 63.281 (64.907)
Epoch: [23][2130/14090]	Time 0.760 (0.769)	Data 0.001 (0.003)	Loss 2.6992 (2.7440)	Prec@1 36.719 (34.409)	Prec@5 66.406 (64.898)
Epoch: [23][2140/14090]	Time 0.750 (0.769)	Data 0.001 (0.003)	Loss 2.5696 (2.7440)	Prec@1 42.188 (34.416)	Prec@5 67.969 (64.896)
Epoch: [23][2150/14090]	Time 0.737 (0.769)	Data 0.001 (0.003)	Loss 2.5662 (2.7437)	Prec@1 32.812 (34.420)	Prec@5 69.531 (64.906)
Epoch: [23][2160/14090]	Time 0.863 (0.769)	Data 0.001 (0.003)	Loss 2.7300 (2.7437)	Prec@1 35.938 (34.422)	Prec@5 67.969 (64.907)
Epoch: [23][2170/14090]	Time 0.740 (0.769)	Data 0.001 (0.003)	Loss 2.8245 (2.7443)	Prec@1 36.719 (34.417)	Prec@5 60.938 (64.891)
Epoch: [23][2180/14090]	Time 0.751 (0.769)	Data 0.001 (0.003)	Loss 3.0252 (2.7444)	Prec@1 32.031 (34.418)	Prec@5 57.812 (64.889)
Epoch: [23][2190/14090]	Time 0.744 (0.769)	Data 0.001 (0.003)	Loss 2.9741 (2.7445)	Prec@1 30.469 (34.413)	Prec@5 64.062 (64.888)
Epoch: [23][2200/14090]	Time 0.764 (0.769)	Data 0.001 (0.003)	Loss 2.5293 (2.7444)	Prec@1 32.031 (34.413)	Prec@5 70.312 (64.891)
Epoch: [23][2210/14090]	Time 0.757 (0.769)	Data 0.001 (0.003)	Loss 2.9691 (2.7446)	Prec@1 31.250 (34.412)	Prec@5 60.156 (64.888)
Epoch: [23][2220/14090]	Time 0.753 (0.769)	Data 0.001 (0.003)	Loss 3.1323 (2.7454)	Prec@1 20.312 (34.398)	Prec@5 56.250 (64.880)
Epoch: [23][2230/14090]	Time 0.864 (0.769)	Data 0.001 (0.003)	Loss 2.7636 (2.7455)	Prec@1 28.906 (34.392)	Prec@5 64.844 (64.882)
Epoch: [23][2240/14090]	Time 0.752 (0.769)	Data 0.001 (0.003)	Loss 2.6305 (2.7453)	Prec@1 32.812 (34.399)	Prec@5 67.969 (64.890)
Epoch: [23][2250/14090]	Time 0.731 (0.769)	Data 0.001 (0.003)	Loss 2.5964 (2.7450)	Prec@1 35.156 (34.408)	Prec@5 65.625 (64.892)
Epoch: [23][2260/14090]	Time 0.737 (0.769)	Data 0.001 (0.003)	Loss 2.5965 (2.7452)	Prec@1 39.062 (34.410)	Prec@5 62.500 (64.896)
Epoch: [23][2270/14090]	Time 0.728 (0.769)	Data 0.001 (0.003)	Loss 2.7429 (2.7446)	Prec@1 32.031 (34.426)	Prec@5 60.938 (64.899)
Epoch: [23][2280/14090]	Time 0.749 (0.769)	Data 0.001 (0.003)	Loss 2.5348 (2.7445)	Prec@1 36.719 (34.426)	Prec@5 69.531 (64.899)
Epoch: [23][2290/14090]	Time 0.773 (0.769)	Data 0.001 (0.003)	Loss 2.5701 (2.7442)	Prec@1 38.281 (34.429)	Prec@5 65.625 (64.909)
Epoch: [23][2300/14090]	Time 1.013 (0.769)	Data 0.001 (0.003)	Loss 2.8809 (2.7444)	Prec@1 32.031 (34.421)	Prec@5 60.156 (64.904)
Epoch: [23][2310/14090]	Time 0.742 (0.769)	Data 0.001 (0.003)	Loss 2.6426 (2.7446)	Prec@1 36.719 (34.417)	Prec@5 67.969 (64.905)
Epoch: [23][2320/14090]	Time 0.777 (0.769)	Data 0.001 (0.003)	Loss 2.6795 (2.7446)	Prec@1 34.375 (34.412)	Prec@5 64.062 (64.902)
Epoch: [23][2330/14090]	Time 0.762 (0.769)	Data 0.001 (0.003)	Loss 2.9469 (2.7448)	Prec@1 26.562 (34.404)	Prec@5 60.156 (64.895)
Epoch: [23][2340/14090]	Time 0.748 (0.769)	Data 0.002 (0.003)	Loss 2.4902 (2.7446)	Prec@1 40.625 (34.404)	Prec@5 70.312 (64.901)
Epoch: [23][2350/14090]	Time 0.730 (0.769)	Data 0.001 (0.003)	Loss 2.8787 (2.7446)	Prec@1 32.031 (34.406)	Prec@5 66.406 (64.905)
Epoch: [23][2360/14090]	Time 0.749 (0.769)	Data 0.001 (0.003)	Loss 2.4369 (2.7448)	Prec@1 36.719 (34.404)	Prec@5 71.875 (64.906)
Epoch: [23][2370/14090]	Time 0.876 (0.769)	Data 0.001 (0.003)	Loss 3.0555 (2.7449)	Prec@1 28.906 (34.401)	Prec@5 53.906 (64.901)
Epoch: [23][2380/14090]	Time 0.773 (0.769)	Data 0.001 (0.003)	Loss 2.8891 (2.7448)	Prec@1 32.031 (34.400)	Prec@5 62.500 (64.904)
Epoch: [23][2390/14090]	Time 0.728 (0.769)	Data 0.001 (0.003)	Loss 3.0834 (2.7452)	Prec@1 28.906 (34.391)	Prec@5 57.812 (64.901)
Epoch: [23][2400/14090]	Time 0.724 (0.769)	Data 0.001 (0.003)	Loss 2.7003 (2.7453)	Prec@1 36.719 (34.393)	Prec@5 69.531 (64.905)
Epoch: [23][2410/14090]	Time 0.740 (0.769)	Data 0.001 (0.003)	Loss 2.7498 (2.7447)	Prec@1 30.469 (34.404)	Prec@5 66.406 (64.912)
Epoch: [23][2420/14090]	Time 0.760 (0.769)	Data 0.001 (0.003)	Loss 2.4381 (2.7444)	Prec@1 42.188 (34.410)	Prec@5 72.656 (64.917)
Epoch: [23][2430/14090]	Time 0.739 (0.769)	Data 0.003 (0.003)	Loss 2.6068 (2.7443)	Prec@1 32.031 (34.407)	Prec@5 67.188 (64.914)
Epoch: [23][2440/14090]	Time 0.878 (0.769)	Data 0.001 (0.003)	Loss 2.7666 (2.7443)	Prec@1 36.719 (34.408)	Prec@5 67.188 (64.914)
Epoch: [23][2450/14090]	Time 0.736 (0.769)	Data 0.001 (0.003)	Loss 3.0160 (2.7442)	Prec@1 32.812 (34.411)	Prec@5 58.594 (64.918)
Epoch: [23][2460/14090]	Time 0.740 (0.769)	Data 0.001 (0.003)	Loss 3.0087 (2.7445)	Prec@1 28.906 (34.408)	Prec@5 57.812 (64.908)
Epoch: [23][2470/14090]	Time 0.746 (0.769)	Data 0.001 (0.003)	Loss 2.9151 (2.7444)	Prec@1 33.594 (34.407)	Prec@5 66.406 (64.917)
Epoch: [23][2480/14090]	Time 0.725 (0.769)	Data 0.001 (0.003)	Loss 3.1463 (2.7445)	Prec@1 25.000 (34.406)	Prec@5 57.031 (64.921)
Epoch: [23][2490/14090]	Time 0.754 (0.769)	Data 0.001 (0.003)	Loss 2.6393 (2.7444)	Prec@1 38.281 (34.411)	Prec@5 68.750 (64.922)
Epoch: [23][2500/14090]	Time 0.724 (0.769)	Data 0.001 (0.003)	Loss 2.4405 (2.7448)	Prec@1 38.281 (34.399)	Prec@5 71.094 (64.914)
Epoch: [23][2510/14090]	Time 0.863 (0.769)	Data 0.001 (0.003)	Loss 2.7591 (2.7448)	Prec@1 33.594 (34.398)	Prec@5 61.719 (64.910)
Epoch: [23][2520/14090]	Time 0.764 (0.769)	Data 0.001 (0.002)	Loss 2.6545 (2.7449)	Prec@1 33.594 (34.392)	Prec@5 69.531 (64.908)
Epoch: [23][2530/14090]	Time 0.751 (0.769)	Data 0.001 (0.002)	Loss 2.5964 (2.7448)	Prec@1 32.031 (34.392)	Prec@5 66.406 (64.914)
Epoch: [23][2540/14090]	Time 0.746 (0.769)	Data 0.001 (0.002)	Loss 2.7966 (2.7448)	Prec@1 33.594 (34.393)	Prec@5 62.500 (64.915)
Epoch: [23][2550/14090]	Time 0.754 (0.769)	Data 0.001 (0.002)	Loss 2.6662 (2.7451)	Prec@1 36.719 (34.388)	Prec@5 67.188 (64.911)
Epoch: [23][2560/14090]	Time 0.744 (0.769)	Data 0.001 (0.002)	Loss 2.8786 (2.7453)	Prec@1 32.031 (34.392)	Prec@5 65.625 (64.911)
Epoch: [23][2570/14090]	Time 0.757 (0.769)	Data 0.001 (0.002)	Loss 2.7924 (2.7456)	Prec@1 30.469 (34.385)	Prec@5 62.500 (64.904)
Epoch: [23][2580/14090]	Time 0.842 (0.769)	Data 0.001 (0.002)	Loss 3.0811 (2.7456)	Prec@1 25.781 (34.382)	Prec@5 54.688 (64.897)
Epoch: [23][2590/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 2.5437 (2.7454)	Prec@1 37.500 (34.390)	Prec@5 65.625 (64.904)
Epoch: [23][2600/14090]	Time 0.772 (0.768)	Data 0.001 (0.002)	Loss 2.9205 (2.7457)	Prec@1 32.031 (34.381)	Prec@5 65.625 (64.900)
Epoch: [23][2610/14090]	Time 0.768 (0.769)	Data 0.001 (0.002)	Loss 2.6952 (2.7454)	Prec@1 32.031 (34.382)	Prec@5 63.281 (64.907)
Epoch: [23][2620/14090]	Time 0.750 (0.768)	Data 0.001 (0.002)	Loss 2.9036 (2.7452)	Prec@1 33.594 (34.384)	Prec@5 57.812 (64.913)
Epoch: [23][2630/14090]	Time 0.762 (0.768)	Data 0.001 (0.002)	Loss 2.5498 (2.7452)	Prec@1 43.750 (34.385)	Prec@5 71.094 (64.916)
Epoch: [23][2640/14090]	Time 0.766 (0.768)	Data 0.001 (0.002)	Loss 2.7620 (2.7449)	Prec@1 35.938 (34.389)	Prec@5 64.844 (64.921)
Epoch: [23][2650/14090]	Time 0.894 (0.768)	Data 0.001 (0.002)	Loss 2.6960 (2.7447)	Prec@1 28.125 (34.395)	Prec@5 65.625 (64.922)
Epoch: [23][2660/14090]	Time 0.733 (0.768)	Data 0.001 (0.002)	Loss 2.9630 (2.7448)	Prec@1 31.250 (34.392)	Prec@5 60.938 (64.921)
Epoch: [23][2670/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 3.0830 (2.7450)	Prec@1 25.000 (34.388)	Prec@5 58.594 (64.916)
Epoch: [23][2680/14090]	Time 0.730 (0.768)	Data 0.001 (0.002)	Loss 2.6543 (2.7448)	Prec@1 37.500 (34.391)	Prec@5 64.062 (64.920)
Epoch: [23][2690/14090]	Time 0.754 (0.768)	Data 0.001 (0.002)	Loss 2.6509 (2.7442)	Prec@1 35.938 (34.401)	Prec@5 66.406 (64.935)
Epoch: [23][2700/14090]	Time 0.743 (0.768)	Data 0.001 (0.002)	Loss 2.9927 (2.7441)	Prec@1 26.562 (34.407)	Prec@5 59.375 (64.939)
Epoch: [23][2710/14090]	Time 0.741 (0.768)	Data 0.001 (0.002)	Loss 2.7744 (2.7440)	Prec@1 35.156 (34.407)	Prec@5 64.062 (64.935)
Epoch: [23][2720/14090]	Time 0.884 (0.768)	Data 0.001 (0.002)	Loss 2.4412 (2.7440)	Prec@1 44.531 (34.409)	Prec@5 71.094 (64.941)
Epoch: [23][2730/14090]	Time 0.732 (0.768)	Data 0.001 (0.002)	Loss 2.8461 (2.7444)	Prec@1 32.031 (34.401)	Prec@5 59.375 (64.930)
Epoch: [23][2740/14090]	Time 0.737 (0.768)	Data 0.001 (0.002)	Loss 2.8187 (2.7445)	Prec@1 30.469 (34.398)	Prec@5 60.938 (64.928)
Epoch: [23][2750/14090]	Time 0.776 (0.768)	Data 0.001 (0.002)	Loss 2.7609 (2.7446)	Prec@1 30.469 (34.397)	Prec@5 63.281 (64.928)
Epoch: [23][2760/14090]	Time 0.778 (0.768)	Data 0.001 (0.002)	Loss 2.9938 (2.7448)	Prec@1 29.688 (34.394)	Prec@5 57.812 (64.926)
Epoch: [23][2770/14090]	Time 0.734 (0.768)	Data 0.001 (0.002)	Loss 2.5368 (2.7447)	Prec@1 37.500 (34.400)	Prec@5 73.438 (64.929)
Epoch: [23][2780/14090]	Time 0.755 (0.768)	Data 0.001 (0.002)	Loss 2.5646 (2.7447)	Prec@1 35.938 (34.394)	Prec@5 67.969 (64.924)
Epoch: [23][2790/14090]	Time 0.944 (0.768)	Data 0.001 (0.002)	Loss 2.7597 (2.7449)	Prec@1 39.062 (34.394)	Prec@5 63.281 (64.922)
Epoch: [23][2800/14090]	Time 0.734 (0.768)	Data 0.001 (0.002)	Loss 2.9629 (2.7452)	Prec@1 25.781 (34.394)	Prec@5 60.938 (64.910)
Epoch: [23][2810/14090]	Time 0.753 (0.768)	Data 0.001 (0.002)	Loss 3.1516 (2.7454)	Prec@1 27.344 (34.391)	Prec@5 57.812 (64.905)
Epoch: [23][2820/14090]	Time 0.753 (0.768)	Data 0.001 (0.002)	Loss 3.0443 (2.7457)	Prec@1 32.031 (34.390)	Prec@5 56.250 (64.898)
Epoch: [23][2830/14090]	Time 0.734 (0.768)	Data 0.001 (0.002)	Loss 2.7122 (2.7454)	Prec@1 37.500 (34.390)	Prec@5 69.531 (64.907)
Epoch: [23][2840/14090]	Time 0.760 (0.768)	Data 0.001 (0.002)	Loss 2.7694 (2.7454)	Prec@1 33.594 (34.391)	Prec@5 65.625 (64.906)
Epoch: [23][2850/14090]	Time 0.774 (0.768)	Data 0.001 (0.002)	Loss 3.0963 (2.7455)	Prec@1 27.344 (34.388)	Prec@5 62.500 (64.904)
Epoch: [23][2860/14090]	Time 0.922 (0.768)	Data 0.001 (0.002)	Loss 2.4313 (2.7456)	Prec@1 37.500 (34.385)	Prec@5 71.875 (64.902)
Epoch: [23][2870/14090]	Time 0.738 (0.768)	Data 0.001 (0.002)	Loss 2.7170 (2.7459)	Prec@1 35.938 (34.379)	Prec@5 64.062 (64.898)
Epoch: [23][2880/14090]	Time 0.750 (0.768)	Data 0.001 (0.002)	Loss 2.7176 (2.7460)	Prec@1 34.375 (34.376)	Prec@5 70.312 (64.891)
Epoch: [23][2890/14090]	Time 0.732 (0.768)	Data 0.002 (0.002)	Loss 2.8667 (2.7461)	Prec@1 25.781 (34.372)	Prec@5 62.500 (64.887)
Epoch: [23][2900/14090]	Time 0.756 (0.768)	Data 0.001 (0.002)	Loss 2.6669 (2.7461)	Prec@1 35.938 (34.375)	Prec@5 68.750 (64.883)
Epoch: [23][2910/14090]	Time 0.731 (0.769)	Data 0.001 (0.002)	Loss 2.9550 (2.7462)	Prec@1 35.156 (34.370)	Prec@5 60.938 (64.880)
Epoch: [23][2920/14090]	Time 0.730 (0.769)	Data 0.003 (0.002)	Loss 2.7643 (2.7461)	Prec@1 30.469 (34.372)	Prec@5 66.406 (64.885)
Epoch: [23][2930/14090]	Time 0.854 (0.769)	Data 0.001 (0.002)	Loss 2.7774 (2.7460)	Prec@1 29.688 (34.370)	Prec@5 64.844 (64.887)
Epoch: [23][2940/14090]	Time 0.777 (0.768)	Data 0.001 (0.002)	Loss 2.6812 (2.7458)	Prec@1 39.844 (34.375)	Prec@5 61.719 (64.888)
Epoch: [23][2950/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 2.6504 (2.7459)	Prec@1 35.938 (34.376)	Prec@5 72.656 (64.887)
Epoch: [23][2960/14090]	Time 0.750 (0.769)	Data 0.001 (0.002)	Loss 2.5718 (2.7460)	Prec@1 39.062 (34.369)	Prec@5 66.406 (64.884)
Epoch: [23][2970/14090]	Time 0.779 (0.769)	Data 0.001 (0.002)	Loss 2.7109 (2.7459)	Prec@1 33.594 (34.365)	Prec@5 63.281 (64.887)
Epoch: [23][2980/14090]	Time 0.737 (0.769)	Data 0.001 (0.002)	Loss 2.9548 (2.7462)	Prec@1 32.031 (34.359)	Prec@5 59.375 (64.877)
Epoch: [23][2990/14090]	Time 0.736 (0.769)	Data 0.001 (0.002)	Loss 2.9538 (2.7461)	Prec@1 33.594 (34.355)	Prec@5 57.812 (64.877)
Epoch: [23][3000/14090]	Time 1.020 (0.769)	Data 0.001 (0.002)	Loss 2.9323 (2.7463)	Prec@1 32.812 (34.351)	Prec@5 64.062 (64.877)
Epoch: [23][3010/14090]	Time 0.753 (0.769)	Data 0.001 (0.002)	Loss 2.4665 (2.7462)	Prec@1 40.625 (34.355)	Prec@5 69.531 (64.874)
Epoch: [23][3020/14090]	Time 0.731 (0.769)	Data 0.001 (0.002)	Loss 2.9674 (2.7460)	Prec@1 26.562 (34.358)	Prec@5 55.469 (64.877)
Epoch: [23][3030/14090]	Time 0.729 (0.769)	Data 0.001 (0.002)	Loss 2.8408 (2.7461)	Prec@1 34.375 (34.357)	Prec@5 63.281 (64.877)
Epoch: [23][3040/14090]	Time 0.757 (0.769)	Data 0.001 (0.002)	Loss 2.4656 (2.7458)	Prec@1 33.594 (34.361)	Prec@5 67.969 (64.884)
Epoch: [23][3050/14090]	Time 0.731 (0.769)	Data 0.001 (0.002)	Loss 2.6714 (2.7457)	Prec@1 35.156 (34.363)	Prec@5 62.500 (64.882)
Epoch: [23][3060/14090]	Time 0.739 (0.768)	Data 0.001 (0.002)	Loss 2.4805 (2.7457)	Prec@1 38.281 (34.370)	Prec@5 69.531 (64.885)
Epoch: [23][3070/14090]	Time 0.865 (0.768)	Data 0.001 (0.002)	Loss 2.7861 (2.7458)	Prec@1 33.594 (34.369)	Prec@5 60.156 (64.881)
Epoch: [23][3080/14090]	Time 0.750 (0.768)	Data 0.001 (0.002)	Loss 2.9865 (2.7456)	Prec@1 28.125 (34.370)	Prec@5 63.281 (64.887)
Epoch: [23][3090/14090]	Time 0.745 (0.768)	Data 0.001 (0.002)	Loss 2.9162 (2.7458)	Prec@1 31.250 (34.364)	Prec@5 62.500 (64.882)
Epoch: [23][3100/14090]	Time 0.733 (0.768)	Data 0.001 (0.002)	Loss 3.1230 (2.7458)	Prec@1 28.906 (34.364)	Prec@5 58.594 (64.881)
Epoch: [23][3110/14090]	Time 0.763 (0.768)	Data 0.001 (0.002)	Loss 2.7339 (2.7459)	Prec@1 34.375 (34.361)	Prec@5 65.625 (64.885)
Epoch: [23][3120/14090]	Time 0.723 (0.768)	Data 0.001 (0.002)	Loss 2.6761 (2.7459)	Prec@1 38.281 (34.360)	Prec@5 66.406 (64.886)
Epoch: [23][3130/14090]	Time 0.731 (0.768)	Data 0.001 (0.002)	Loss 2.6262 (2.7457)	Prec@1 37.500 (34.368)	Prec@5 66.406 (64.888)
Epoch: [23][3140/14090]	Time 0.864 (0.768)	Data 0.001 (0.002)	Loss 2.5414 (2.7455)	Prec@1 41.406 (34.377)	Prec@5 67.188 (64.894)
Epoch: [23][3150/14090]	Time 0.768 (0.768)	Data 0.001 (0.002)	Loss 2.4969 (2.7457)	Prec@1 31.250 (34.371)	Prec@5 70.312 (64.893)
Epoch: [23][3160/14090]	Time 0.774 (0.768)	Data 0.001 (0.002)	Loss 2.8481 (2.7458)	Prec@1 30.469 (34.370)	Prec@5 63.281 (64.890)
Epoch: [23][3170/14090]	Time 0.776 (0.768)	Data 0.001 (0.002)	Loss 2.7260 (2.7458)	Prec@1 33.594 (34.371)	Prec@5 66.406 (64.894)
Epoch: [23][3180/14090]	Time 0.760 (0.768)	Data 0.002 (0.002)	Loss 2.9227 (2.7458)	Prec@1 31.250 (34.369)	Prec@5 62.500 (64.894)
Epoch: [23][3190/14090]	Time 0.754 (0.768)	Data 0.001 (0.002)	Loss 2.6907 (2.7457)	Prec@1 31.250 (34.374)	Prec@5 65.625 (64.901)
Epoch: [23][3200/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 2.9630 (2.7458)	Prec@1 30.469 (34.370)	Prec@5 63.281 (64.898)
Epoch: [23][3210/14090]	Time 0.871 (0.768)	Data 0.001 (0.002)	Loss 2.9939 (2.7460)	Prec@1 32.812 (34.368)	Prec@5 57.812 (64.890)
Epoch: [23][3220/14090]	Time 0.758 (0.768)	Data 0.001 (0.002)	Loss 2.4710 (2.7461)	Prec@1 39.062 (34.368)	Prec@5 67.969 (64.887)
Epoch: [23][3230/14090]	Time 0.744 (0.768)	Data 0.001 (0.002)	Loss 2.8608 (2.7461)	Prec@1 36.719 (34.368)	Prec@5 62.500 (64.887)
Epoch: [23][3240/14090]	Time 0.749 (0.768)	Data 0.001 (0.002)	Loss 2.7907 (2.7462)	Prec@1 39.062 (34.364)	Prec@5 62.500 (64.891)
Epoch: [23][3250/14090]	Time 0.757 (0.768)	Data 0.001 (0.002)	Loss 2.8001 (2.7464)	Prec@1 37.500 (34.359)	Prec@5 67.188 (64.888)
Epoch: [23][3260/14090]	Time 0.757 (0.768)	Data 0.001 (0.002)	Loss 2.6242 (2.7462)	Prec@1 35.156 (34.362)	Prec@5 68.750 (64.893)
Epoch: [23][3270/14090]	Time 0.738 (0.768)	Data 0.001 (0.002)	Loss 2.6547 (2.7461)	Prec@1 37.500 (34.367)	Prec@5 70.312 (64.901)
Epoch: [23][3280/14090]	Time 0.932 (0.768)	Data 0.001 (0.002)	Loss 2.7452 (2.7461)	Prec@1 38.281 (34.369)	Prec@5 66.406 (64.904)
Epoch: [23][3290/14090]	Time 0.773 (0.768)	Data 0.001 (0.002)	Loss 2.5495 (2.7457)	Prec@1 35.156 (34.374)	Prec@5 73.438 (64.909)
Epoch: [23][3300/14090]	Time 0.748 (0.768)	Data 0.001 (0.002)	Loss 2.6954 (2.7456)	Prec@1 36.719 (34.373)	Prec@5 64.844 (64.911)
Epoch: [23][3310/14090]	Time 0.734 (0.768)	Data 0.001 (0.002)	Loss 2.7635 (2.7456)	Prec@1 26.562 (34.373)	Prec@5 65.625 (64.915)
Epoch: [23][3320/14090]	Time 0.740 (0.768)	Data 0.004 (0.002)	Loss 3.0550 (2.7458)	Prec@1 27.344 (34.368)	Prec@5 58.594 (64.911)
Epoch: [23][3330/14090]	Time 0.762 (0.768)	Data 0.001 (0.002)	Loss 2.6109 (2.7459)	Prec@1 37.500 (34.373)	Prec@5 64.844 (64.906)
Epoch: [23][3340/14090]	Time 0.728 (0.768)	Data 0.001 (0.002)	Loss 2.7406 (2.7460)	Prec@1 35.938 (34.367)	Prec@5 66.406 (64.905)
Epoch: [23][3350/14090]	Time 0.869 (0.768)	Data 0.001 (0.002)	Loss 2.9938 (2.7461)	Prec@1 29.688 (34.364)	Prec@5 55.469 (64.899)
Epoch: [23][3360/14090]	Time 0.759 (0.768)	Data 0.001 (0.002)	Loss 2.9103 (2.7460)	Prec@1 35.938 (34.370)	Prec@5 64.844 (64.903)
Epoch: [23][3370/14090]	Time 0.749 (0.768)	Data 0.001 (0.002)	Loss 2.7865 (2.7461)	Prec@1 36.719 (34.372)	Prec@5 62.500 (64.899)
Epoch: [23][3380/14090]	Time 0.735 (0.768)	Data 0.001 (0.002)	Loss 2.5369 (2.7460)	Prec@1 38.281 (34.377)	Prec@5 71.094 (64.898)
Epoch: [23][3390/14090]	Time 0.736 (0.768)	Data 0.001 (0.002)	Loss 2.6959 (2.7459)	Prec@1 35.938 (34.382)	Prec@5 64.062 (64.900)
Epoch: [23][3400/14090]	Time 0.739 (0.768)	Data 0.001 (0.002)	Loss 2.6740 (2.7461)	Prec@1 35.156 (34.379)	Prec@5 68.750 (64.897)
Epoch: [23][3410/14090]	Time 0.732 (0.768)	Data 0.001 (0.002)	Loss 2.7842 (2.7460)	Prec@1 38.281 (34.377)	Prec@5 61.719 (64.898)
Epoch: [23][3420/14090]	Time 0.897 (0.768)	Data 0.001 (0.002)	Loss 2.6558 (2.7463)	Prec@1 38.281 (34.371)	Prec@5 67.188 (64.894)
Epoch: [23][3430/14090]	Time 0.733 (0.768)	Data 0.001 (0.002)	Loss 2.7056 (2.7463)	Prec@1 41.406 (34.376)	Prec@5 64.844 (64.890)
Epoch: [23][3440/14090]	Time 0.732 (0.768)	Data 0.001 (0.002)	Loss 2.7036 (2.7464)	Prec@1 34.375 (34.372)	Prec@5 71.875 (64.889)
Epoch: [23][3450/14090]	Time 0.762 (0.768)	Data 0.004 (0.002)	Loss 2.8756 (2.7465)	Prec@1 35.156 (34.373)	Prec@5 61.719 (64.883)
Epoch: [23][3460/14090]	Time 0.733 (0.768)	Data 0.001 (0.002)	Loss 2.6744 (2.7461)	Prec@1 36.719 (34.384)	Prec@5 69.531 (64.890)
Epoch: [23][3470/14090]	Time 0.747 (0.768)	Data 0.001 (0.002)	Loss 2.8026 (2.7466)	Prec@1 37.500 (34.382)	Prec@5 67.188 (64.884)
Epoch: [23][3480/14090]	Time 0.752 (0.768)	Data 0.001 (0.002)	Loss 2.7099 (2.7466)	Prec@1 33.594 (34.380)	Prec@5 63.281 (64.882)
Epoch: [23][3490/14090]	Time 0.917 (0.768)	Data 0.002 (0.002)	Loss 2.7246 (2.7465)	Prec@1 32.812 (34.378)	Prec@5 63.281 (64.885)
Epoch: [23][3500/14090]	Time 0.733 (0.768)	Data 0.001 (0.002)	Loss 2.7029 (2.7461)	Prec@1 36.719 (34.387)	Prec@5 67.969 (64.889)
Epoch: [23][3510/14090]	Time 0.761 (0.768)	Data 0.001 (0.002)	Loss 3.0323 (2.7463)	Prec@1 26.562 (34.381)	Prec@5 58.594 (64.884)
Epoch: [23][3520/14090]	Time 0.724 (0.768)	Data 0.001 (0.002)	Loss 2.8136 (2.7465)	Prec@1 32.812 (34.376)	Prec@5 57.812 (64.880)
Epoch: [23][3530/14090]	Time 0.754 (0.768)	Data 0.001 (0.002)	Loss 2.6727 (2.7463)	Prec@1 29.688 (34.380)	Prec@5 67.969 (64.883)
Epoch: [23][3540/14090]	Time 0.753 (0.768)	Data 0.002 (0.002)	Loss 2.9486 (2.7462)	Prec@1 30.469 (34.386)	Prec@5 57.812 (64.887)
Epoch: [23][3550/14090]	Time 0.723 (0.768)	Data 0.001 (0.002)	Loss 3.2013 (2.7464)	Prec@1 26.562 (34.384)	Prec@5 58.594 (64.885)
Epoch: [23][3560/14090]	Time 0.884 (0.768)	Data 0.001 (0.002)	Loss 2.5722 (2.7463)	Prec@1 32.812 (34.381)	Prec@5 65.625 (64.882)
Epoch: [23][3570/14090]	Time 0.723 (0.768)	Data 0.001 (0.002)	Loss 2.6174 (2.7462)	Prec@1 44.531 (34.382)	Prec@5 64.844 (64.883)
Epoch: [23][3580/14090]	Time 0.733 (0.768)	Data 0.001 (0.002)	Loss 2.6555 (2.7463)	Prec@1 31.250 (34.383)	Prec@5 68.750 (64.883)
Epoch: [23][3590/14090]	Time 0.782 (0.768)	Data 0.001 (0.002)	Loss 2.7073 (2.7463)	Prec@1 34.375 (34.385)	Prec@5 62.500 (64.887)
Epoch: [23][3600/14090]	Time 0.739 (0.768)	Data 0.001 (0.002)	Loss 2.7957 (2.7462)	Prec@1 32.812 (34.386)	Prec@5 64.062 (64.889)
Epoch: [23][3610/14090]	Time 0.754 (0.768)	Data 0.001 (0.002)	Loss 2.6341 (2.7463)	Prec@1 38.281 (34.383)	Prec@5 66.406 (64.887)
Epoch: [23][3620/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 2.8694 (2.7463)	Prec@1 27.344 (34.383)	Prec@5 62.500 (64.884)
Epoch: [23][3630/14090]	Time 0.851 (0.768)	Data 0.001 (0.002)	Loss 2.6782 (2.7461)	Prec@1 32.031 (34.383)	Prec@5 67.188 (64.885)
Epoch: [23][3640/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 2.7704 (2.7464)	Prec@1 31.250 (34.373)	Prec@5 62.500 (64.876)
Epoch: [23][3650/14090]	Time 0.766 (0.768)	Data 0.001 (0.002)	Loss 2.4836 (2.7464)	Prec@1 38.281 (34.379)	Prec@5 72.656 (64.878)
Epoch: [23][3660/14090]	Time 0.776 (0.768)	Data 0.001 (0.002)	Loss 2.9009 (2.7466)	Prec@1 34.375 (34.381)	Prec@5 62.500 (64.875)
Epoch: [23][3670/14090]	Time 0.759 (0.768)	Data 0.001 (0.002)	Loss 2.5882 (2.7465)	Prec@1 35.938 (34.382)	Prec@5 67.188 (64.877)
Epoch: [23][3680/14090]	Time 0.728 (0.768)	Data 0.001 (0.002)	Loss 3.1754 (2.7467)	Prec@1 27.344 (34.382)	Prec@5 54.688 (64.877)
Epoch: [23][3690/14090]	Time 0.756 (0.768)	Data 0.001 (0.002)	Loss 2.7640 (2.7468)	Prec@1 32.812 (34.380)	Prec@5 68.750 (64.875)
Epoch: [23][3700/14090]	Time 0.858 (0.768)	Data 0.001 (0.002)	Loss 2.7514 (2.7470)	Prec@1 35.938 (34.374)	Prec@5 67.188 (64.873)
Epoch: [23][3710/14090]	Time 0.762 (0.768)	Data 0.001 (0.002)	Loss 2.5594 (2.7470)	Prec@1 38.281 (34.377)	Prec@5 68.750 (64.870)
Epoch: [23][3720/14090]	Time 0.745 (0.768)	Data 0.001 (0.002)	Loss 2.8377 (2.7471)	Prec@1 35.156 (34.373)	Prec@5 61.719 (64.865)
Epoch: [23][3730/14090]	Time 0.766 (0.768)	Data 0.001 (0.002)	Loss 2.7976 (2.7473)	Prec@1 28.125 (34.371)	Prec@5 68.750 (64.868)
Epoch: [23][3740/14090]	Time 0.731 (0.768)	Data 0.001 (0.002)	Loss 2.6340 (2.7474)	Prec@1 28.906 (34.370)	Prec@5 66.406 (64.865)
Epoch: [23][3750/14090]	Time 0.729 (0.768)	Data 0.001 (0.002)	Loss 2.8244 (2.7475)	Prec@1 32.812 (34.367)	Prec@5 60.156 (64.862)
Epoch: [23][3760/14090]	Time 0.756 (0.768)	Data 0.001 (0.002)	Loss 2.6754 (2.7474)	Prec@1 41.406 (34.374)	Prec@5 66.406 (64.868)
Epoch: [23][3770/14090]	Time 0.863 (0.768)	Data 0.001 (0.002)	Loss 2.7545 (2.7473)	Prec@1 32.031 (34.373)	Prec@5 64.062 (64.869)
Epoch: [23][3780/14090]	Time 0.757 (0.768)	Data 0.001 (0.002)	Loss 2.6727 (2.7470)	Prec@1 31.250 (34.375)	Prec@5 69.531 (64.876)
Epoch: [23][3790/14090]	Time 0.745 (0.768)	Data 0.001 (0.002)	Loss 2.6353 (2.7471)	Prec@1 35.938 (34.375)	Prec@5 69.531 (64.877)
Epoch: [23][3800/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 2.9314 (2.7470)	Prec@1 32.812 (34.374)	Prec@5 61.719 (64.878)
Epoch: [23][3810/14090]	Time 0.738 (0.768)	Data 0.001 (0.002)	Loss 2.7205 (2.7471)	Prec@1 35.156 (34.372)	Prec@5 67.188 (64.875)
Epoch: [23][3820/14090]	Time 0.744 (0.768)	Data 0.001 (0.002)	Loss 2.7643 (2.7471)	Prec@1 34.375 (34.371)	Prec@5 65.625 (64.880)
Epoch: [23][3830/14090]	Time 0.736 (0.768)	Data 0.001 (0.002)	Loss 2.6208 (2.7470)	Prec@1 34.375 (34.369)	Prec@5 68.750 (64.881)
Epoch: [23][3840/14090]	Time 0.902 (0.768)	Data 0.001 (0.002)	Loss 2.5790 (2.7471)	Prec@1 35.156 (34.367)	Prec@5 71.094 (64.881)
Epoch: [23][3850/14090]	Time 0.738 (0.768)	Data 0.001 (0.002)	Loss 2.8158 (2.7469)	Prec@1 32.812 (34.373)	Prec@5 60.938 (64.885)
Epoch: [23][3860/14090]	Time 0.754 (0.768)	Data 0.001 (0.002)	Loss 2.8289 (2.7469)	Prec@1 31.250 (34.373)	Prec@5 65.625 (64.886)
Epoch: [23][3870/14090]	Time 0.729 (0.768)	Data 0.001 (0.002)	Loss 2.6977 (2.7470)	Prec@1 36.719 (34.373)	Prec@5 56.250 (64.880)
Epoch: [23][3880/14090]	Time 0.753 (0.768)	Data 0.001 (0.002)	Loss 2.8036 (2.7469)	Prec@1 34.375 (34.378)	Prec@5 61.719 (64.882)
Epoch: [23][3890/14090]	Time 0.765 (0.768)	Data 0.001 (0.002)	Loss 2.7698 (2.7473)	Prec@1 34.375 (34.368)	Prec@5 63.281 (64.874)
Epoch: [23][3900/14090]	Time 0.755 (0.768)	Data 0.001 (0.002)	Loss 2.9527 (2.7475)	Prec@1 28.906 (34.363)	Prec@5 56.250 (64.868)
Epoch: [23][3910/14090]	Time 0.849 (0.768)	Data 0.001 (0.002)	Loss 2.9189 (2.7478)	Prec@1 28.906 (34.357)	Prec@5 62.500 (64.866)
Epoch: [23][3920/14090]	Time 0.750 (0.768)	Data 0.001 (0.002)	Loss 2.6841 (2.7477)	Prec@1 29.688 (34.353)	Prec@5 62.500 (64.866)
Epoch: [23][3930/14090]	Time 0.743 (0.768)	Data 0.001 (0.002)	Loss 2.8383 (2.7477)	Prec@1 25.781 (34.350)	Prec@5 65.625 (64.865)
Epoch: [23][3940/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 3.1897 (2.7480)	Prec@1 24.219 (34.350)	Prec@5 54.688 (64.862)
Epoch: [23][3950/14090]	Time 0.754 (0.768)	Data 0.001 (0.002)	Loss 2.8123 (2.7480)	Prec@1 32.812 (34.350)	Prec@5 60.938 (64.860)
Epoch: [23][3960/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 3.0896 (2.7481)	Prec@1 35.156 (34.351)	Prec@5 58.594 (64.859)
Epoch: [23][3970/14090]	Time 0.753 (0.768)	Data 0.001 (0.002)	Loss 2.5602 (2.7481)	Prec@1 36.719 (34.349)	Prec@5 65.625 (64.857)
Epoch: [23][3980/14090]	Time 0.850 (0.768)	Data 0.001 (0.002)	Loss 2.5092 (2.7481)	Prec@1 39.844 (34.351)	Prec@5 70.312 (64.857)
Epoch: [23][3990/14090]	Time 0.750 (0.768)	Data 0.001 (0.002)	Loss 2.6259 (2.7481)	Prec@1 32.812 (34.352)	Prec@5 69.531 (64.860)
Epoch: [23][4000/14090]	Time 0.779 (0.768)	Data 0.001 (0.002)	Loss 2.7689 (2.7479)	Prec@1 27.344 (34.352)	Prec@5 60.938 (64.865)
Epoch: [23][4010/14090]	Time 0.739 (0.768)	Data 0.001 (0.002)	Loss 2.5691 (2.7478)	Prec@1 39.844 (34.355)	Prec@5 64.062 (64.866)
Epoch: [23][4020/14090]	Time 0.744 (0.768)	Data 0.001 (0.002)	Loss 2.5316 (2.7476)	Prec@1 42.188 (34.359)	Prec@5 68.750 (64.869)
Epoch: [23][4030/14090]	Time 0.761 (0.768)	Data 0.001 (0.002)	Loss 2.7811 (2.7475)	Prec@1 31.250 (34.360)	Prec@5 64.844 (64.869)
Epoch: [23][4040/14090]	Time 0.721 (0.768)	Data 0.001 (0.002)	Loss 2.6370 (2.7476)	Prec@1 35.156 (34.360)	Prec@5 67.188 (64.867)
Epoch: [23][4050/14090]	Time 0.884 (0.768)	Data 0.001 (0.002)	Loss 2.7334 (2.7474)	Prec@1 37.500 (34.358)	Prec@5 62.500 (64.867)
Epoch: [23][4060/14090]	Time 0.744 (0.768)	Data 0.001 (0.002)	Loss 2.7075 (2.7478)	Prec@1 35.156 (34.355)	Prec@5 67.969 (64.864)
Epoch: [23][4070/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 2.8680 (2.7480)	Prec@1 26.562 (34.352)	Prec@5 63.281 (64.856)
Epoch: [23][4080/14090]	Time 0.753 (0.768)	Data 0.001 (0.002)	Loss 2.9237 (2.7481)	Prec@1 31.250 (34.349)	Prec@5 63.281 (64.857)
Epoch: [23][4090/14090]	Time 0.775 (0.768)	Data 0.001 (0.002)	Loss 2.8852 (2.7480)	Prec@1 32.031 (34.352)	Prec@5 61.719 (64.857)
Epoch: [23][4100/14090]	Time 0.749 (0.768)	Data 0.001 (0.002)	Loss 2.7002 (2.7476)	Prec@1 33.594 (34.360)	Prec@5 69.531 (64.862)
Epoch: [23][4110/14090]	Time 0.745 (0.768)	Data 0.001 (0.002)	Loss 2.7860 (2.7477)	Prec@1 28.906 (34.356)	Prec@5 62.500 (64.857)
Epoch: [23][4120/14090]	Time 0.888 (0.768)	Data 0.001 (0.002)	Loss 2.9696 (2.7478)	Prec@1 31.250 (34.359)	Prec@5 64.844 (64.857)
Epoch: [23][4130/14090]	Time 0.728 (0.768)	Data 0.003 (0.002)	Loss 2.7875 (2.7476)	Prec@1 39.062 (34.364)	Prec@5 62.500 (64.859)
Epoch: [23][4140/14090]	Time 0.749 (0.768)	Data 0.001 (0.002)	Loss 2.7615 (2.7474)	Prec@1 35.938 (34.371)	Prec@5 60.938 (64.866)
Epoch: [23][4150/14090]	Time 0.755 (0.768)	Data 0.001 (0.002)	Loss 2.8046 (2.7471)	Prec@1 35.156 (34.377)	Prec@5 62.500 (64.869)
Epoch: [23][4160/14090]	Time 0.755 (0.768)	Data 0.001 (0.002)	Loss 2.2988 (2.7470)	Prec@1 43.750 (34.378)	Prec@5 74.219 (64.872)
Epoch: [23][4170/14090]	Time 0.745 (0.768)	Data 0.001 (0.002)	Loss 3.0305 (2.7474)	Prec@1 26.562 (34.369)	Prec@5 62.500 (64.867)
Epoch: [23][4180/14090]	Time 0.780 (0.768)	Data 0.001 (0.002)	Loss 2.6087 (2.7474)	Prec@1 40.625 (34.370)	Prec@5 65.625 (64.872)
Epoch: [23][4190/14090]	Time 0.878 (0.768)	Data 0.001 (0.002)	Loss 2.8035 (2.7471)	Prec@1 33.594 (34.376)	Prec@5 64.844 (64.875)
Epoch: [23][4200/14090]	Time 0.750 (0.768)	Data 0.001 (0.002)	Loss 2.7749 (2.7471)	Prec@1 25.000 (34.375)	Prec@5 67.188 (64.875)
Epoch: [23][4210/14090]	Time 0.738 (0.768)	Data 0.001 (0.002)	Loss 2.9265 (2.7474)	Prec@1 30.469 (34.366)	Prec@5 61.719 (64.869)
Epoch: [23][4220/14090]	Time 0.732 (0.768)	Data 0.001 (0.002)	Loss 2.7042 (2.7474)	Prec@1 39.844 (34.365)	Prec@5 64.062 (64.872)
Epoch: [23][4230/14090]	Time 0.744 (0.768)	Data 0.001 (0.002)	Loss 2.6744 (2.7473)	Prec@1 38.281 (34.365)	Prec@5 64.062 (64.873)
Epoch: [23][4240/14090]	Time 0.744 (0.768)	Data 0.001 (0.002)	Loss 2.7691 (2.7474)	Prec@1 37.500 (34.365)	Prec@5 64.062 (64.869)
Epoch: [23][4250/14090]	Time 0.734 (0.768)	Data 0.001 (0.002)	Loss 2.7666 (2.7476)	Prec@1 32.031 (34.362)	Prec@5 64.844 (64.865)
Epoch: [23][4260/14090]	Time 0.856 (0.768)	Data 0.001 (0.002)	Loss 3.1600 (2.7479)	Prec@1 31.250 (34.360)	Prec@5 57.812 (64.861)
Epoch: [23][4270/14090]	Time 0.733 (0.768)	Data 0.001 (0.002)	Loss 2.7441 (2.7480)	Prec@1 37.500 (34.359)	Prec@5 63.281 (64.856)
Epoch: [23][4280/14090]	Time 0.754 (0.768)	Data 0.001 (0.002)	Loss 2.9483 (2.7482)	Prec@1 34.375 (34.354)	Prec@5 59.375 (64.850)
Epoch: [23][4290/14090]	Time 0.758 (0.768)	Data 0.004 (0.002)	Loss 2.9281 (2.7484)	Prec@1 26.562 (34.354)	Prec@5 64.844 (64.846)
Epoch: [23][4300/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 2.9992 (2.7485)	Prec@1 32.031 (34.351)	Prec@5 63.281 (64.846)
Epoch: [23][4310/14090]	Time 0.756 (0.768)	Data 0.001 (0.002)	Loss 2.6309 (2.7484)	Prec@1 34.375 (34.352)	Prec@5 67.188 (64.845)
Epoch: [23][4320/14090]	Time 0.752 (0.768)	Data 0.001 (0.002)	Loss 2.9218 (2.7486)	Prec@1 32.031 (34.350)	Prec@5 61.719 (64.841)
Epoch: [23][4330/14090]	Time 0.899 (0.768)	Data 0.001 (0.002)	Loss 2.3799 (2.7485)	Prec@1 36.719 (34.350)	Prec@5 74.219 (64.840)
Epoch: [23][4340/14090]	Time 0.745 (0.768)	Data 0.001 (0.002)	Loss 2.6857 (2.7486)	Prec@1 38.281 (34.351)	Prec@5 67.188 (64.842)
Epoch: [23][4350/14090]	Time 0.730 (0.768)	Data 0.001 (0.002)	Loss 2.8225 (2.7486)	Prec@1 30.469 (34.349)	Prec@5 61.719 (64.842)
Epoch: [23][4360/14090]	Time 0.758 (0.768)	Data 0.001 (0.002)	Loss 2.7587 (2.7485)	Prec@1 35.938 (34.353)	Prec@5 61.719 (64.846)
Epoch: [23][4370/14090]	Time 0.735 (0.768)	Data 0.001 (0.002)	Loss 2.7724 (2.7486)	Prec@1 40.625 (34.355)	Prec@5 67.969 (64.845)
Epoch: [23][4380/14090]	Time 0.768 (0.768)	Data 0.001 (0.002)	Loss 2.6914 (2.7486)	Prec@1 31.250 (34.354)	Prec@5 66.406 (64.845)
Epoch: [23][4390/14090]	Time 0.739 (0.768)	Data 0.001 (0.002)	Loss 2.8787 (2.7486)	Prec@1 29.688 (34.353)	Prec@5 60.938 (64.845)
Epoch: [23][4400/14090]	Time 0.940 (0.768)	Data 0.001 (0.002)	Loss 2.7310 (2.7486)	Prec@1 31.250 (34.352)	Prec@5 67.188 (64.844)
Epoch: [23][4410/14090]	Time 0.770 (0.768)	Data 0.001 (0.002)	Loss 2.5965 (2.7484)	Prec@1 38.281 (34.358)	Prec@5 67.188 (64.847)
Epoch: [23][4420/14090]	Time 0.738 (0.768)	Data 0.001 (0.002)	Loss 2.5668 (2.7482)	Prec@1 34.375 (34.357)	Prec@5 67.969 (64.852)
Epoch: [23][4430/14090]	Time 0.727 (0.768)	Data 0.001 (0.002)	Loss 2.5483 (2.7481)	Prec@1 37.500 (34.361)	Prec@5 68.750 (64.852)
Epoch: [23][4440/14090]	Time 0.753 (0.768)	Data 0.001 (0.002)	Loss 2.6428 (2.7481)	Prec@1 35.156 (34.362)	Prec@5 67.188 (64.851)
Epoch: [23][4450/14090]	Time 0.748 (0.768)	Data 0.001 (0.002)	Loss 2.7618 (2.7482)	Prec@1 32.812 (34.359)	Prec@5 64.844 (64.847)
Epoch: [23][4460/14090]	Time 0.728 (0.768)	Data 0.001 (0.002)	Loss 2.7977 (2.7483)	Prec@1 34.375 (34.358)	Prec@5 60.156 (64.848)
Epoch: [23][4470/14090]	Time 0.818 (0.768)	Data 0.001 (0.002)	Loss 2.9692 (2.7484)	Prec@1 31.250 (34.359)	Prec@5 56.250 (64.847)
Epoch: [23][4480/14090]	Time 0.748 (0.768)	Data 0.001 (0.002)	Loss 2.8230 (2.7482)	Prec@1 32.812 (34.363)	Prec@5 65.625 (64.849)
Epoch: [23][4490/14090]	Time 0.796 (0.768)	Data 0.001 (0.002)	Loss 3.0289 (2.7483)	Prec@1 28.125 (34.362)	Prec@5 56.250 (64.847)
Epoch: [23][4500/14090]	Time 0.736 (0.768)	Data 0.001 (0.002)	Loss 2.7556 (2.7484)	Prec@1 36.719 (34.360)	Prec@5 59.375 (64.843)
Epoch: [23][4510/14090]	Time 0.755 (0.768)	Data 0.001 (0.002)	Loss 2.6241 (2.7484)	Prec@1 30.469 (34.361)	Prec@5 66.406 (64.839)
Epoch: [23][4520/14090]	Time 0.721 (0.768)	Data 0.001 (0.002)	Loss 2.6703 (2.7484)	Prec@1 34.375 (34.362)	Prec@5 61.719 (64.836)
Epoch: [23][4530/14090]	Time 0.727 (0.768)	Data 0.001 (0.002)	Loss 2.6168 (2.7485)	Prec@1 35.156 (34.363)	Prec@5 70.312 (64.838)
Epoch: [23][4540/14090]	Time 0.849 (0.767)	Data 0.001 (0.002)	Loss 2.8043 (2.7485)	Prec@1 28.125 (34.361)	Prec@5 64.062 (64.838)
Epoch: [23][4550/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 2.8507 (2.7486)	Prec@1 35.938 (34.361)	Prec@5 60.938 (64.836)
Epoch: [23][4560/14090]	Time 0.771 (0.767)	Data 0.001 (0.002)	Loss 2.7974 (2.7488)	Prec@1 39.844 (34.358)	Prec@5 62.500 (64.830)
Epoch: [23][4570/14090]	Time 0.731 (0.767)	Data 0.001 (0.002)	Loss 2.6987 (2.7486)	Prec@1 37.500 (34.360)	Prec@5 65.625 (64.830)
Epoch: [23][4580/14090]	Time 0.725 (0.767)	Data 0.001 (0.002)	Loss 2.6728 (2.7486)	Prec@1 35.156 (34.359)	Prec@5 65.625 (64.828)
Epoch: [23][4590/14090]	Time 0.768 (0.767)	Data 0.001 (0.002)	Loss 2.7977 (2.7487)	Prec@1 35.938 (34.361)	Prec@5 60.156 (64.826)
Epoch: [23][4600/14090]	Time 0.720 (0.767)	Data 0.001 (0.002)	Loss 2.7436 (2.7486)	Prec@1 39.062 (34.364)	Prec@5 62.500 (64.829)
Epoch: [23][4610/14090]	Time 0.880 (0.767)	Data 0.001 (0.002)	Loss 3.0930 (2.7486)	Prec@1 31.250 (34.367)	Prec@5 59.375 (64.831)
Epoch: [23][4620/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 2.4965 (2.7484)	Prec@1 39.062 (34.369)	Prec@5 71.094 (64.835)
Epoch: [23][4630/14090]	Time 0.766 (0.767)	Data 0.001 (0.002)	Loss 2.6905 (2.7483)	Prec@1 36.719 (34.370)	Prec@5 65.625 (64.838)
Epoch: [23][4640/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 2.6079 (2.7485)	Prec@1 28.125 (34.367)	Prec@5 67.969 (64.833)
Epoch: [23][4650/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 2.7207 (2.7484)	Prec@1 32.812 (34.370)	Prec@5 67.969 (64.836)
Epoch: [23][4660/14090]	Time 0.725 (0.767)	Data 0.001 (0.002)	Loss 2.8538 (2.7483)	Prec@1 35.938 (34.368)	Prec@5 62.500 (64.837)
Epoch: [23][4670/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 2.7596 (2.7483)	Prec@1 34.375 (34.368)	Prec@5 65.625 (64.836)
Epoch: [23][4680/14090]	Time 0.837 (0.767)	Data 0.001 (0.002)	Loss 2.8336 (2.7482)	Prec@1 39.062 (34.375)	Prec@5 62.500 (64.840)
Epoch: [23][4690/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.8204 (2.7482)	Prec@1 29.688 (34.374)	Prec@5 64.844 (64.841)
Epoch: [23][4700/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 3.2779 (2.7483)	Prec@1 25.000 (34.372)	Prec@5 56.250 (64.841)
Epoch: [23][4710/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.9337 (2.7483)	Prec@1 30.469 (34.372)	Prec@5 64.844 (64.841)
Epoch: [23][4720/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.8349 (2.7485)	Prec@1 35.156 (34.368)	Prec@5 64.062 (64.841)
Epoch: [23][4730/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.6746 (2.7487)	Prec@1 34.375 (34.369)	Prec@5 69.531 (64.837)
Epoch: [23][4740/14090]	Time 0.728 (0.767)	Data 0.001 (0.002)	Loss 2.7873 (2.7489)	Prec@1 39.062 (34.367)	Prec@5 63.281 (64.830)
Epoch: [23][4750/14090]	Time 0.854 (0.767)	Data 0.001 (0.002)	Loss 2.7063 (2.7488)	Prec@1 37.500 (34.367)	Prec@5 64.062 (64.829)
Epoch: [23][4760/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 2.8504 (2.7488)	Prec@1 36.719 (34.370)	Prec@5 64.062 (64.829)
Epoch: [23][4770/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 2.6861 (2.7487)	Prec@1 34.375 (34.370)	Prec@5 67.969 (64.829)
Epoch: [23][4780/14090]	Time 0.770 (0.767)	Data 0.001 (0.002)	Loss 3.0283 (2.7487)	Prec@1 35.938 (34.368)	Prec@5 62.500 (64.826)
Epoch: [23][4790/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 2.6509 (2.7485)	Prec@1 36.719 (34.373)	Prec@5 66.406 (64.830)
Epoch: [23][4800/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 3.0324 (2.7487)	Prec@1 28.125 (34.370)	Prec@5 57.812 (64.827)
Epoch: [23][4810/14090]	Time 0.781 (0.767)	Data 0.001 (0.002)	Loss 2.7423 (2.7486)	Prec@1 37.500 (34.372)	Prec@5 64.844 (64.830)
Epoch: [23][4820/14090]	Time 0.835 (0.767)	Data 0.001 (0.002)	Loss 2.7764 (2.7485)	Prec@1 34.375 (34.375)	Prec@5 62.500 (64.833)
Epoch: [23][4830/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 2.8005 (2.7484)	Prec@1 32.031 (34.374)	Prec@5 63.281 (64.836)
Epoch: [23][4840/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 2.5309 (2.7484)	Prec@1 41.406 (34.373)	Prec@5 70.312 (64.835)
Epoch: [23][4850/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 2.4173 (2.7484)	Prec@1 37.500 (34.372)	Prec@5 71.094 (64.835)
Epoch: [23][4860/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 2.6756 (2.7483)	Prec@1 44.531 (34.376)	Prec@5 72.656 (64.837)
Epoch: [23][4870/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 2.9734 (2.7484)	Prec@1 31.250 (34.376)	Prec@5 59.375 (64.837)
Epoch: [23][4880/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 2.6138 (2.7485)	Prec@1 36.719 (34.371)	Prec@5 71.875 (64.836)
Epoch: [23][4890/14090]	Time 0.915 (0.767)	Data 0.001 (0.002)	Loss 2.9133 (2.7485)	Prec@1 35.938 (34.372)	Prec@5 64.844 (64.836)
Epoch: [23][4900/14090]	Time 0.785 (0.767)	Data 0.001 (0.002)	Loss 2.5949 (2.7487)	Prec@1 35.938 (34.369)	Prec@5 67.188 (64.832)
Epoch: [23][4910/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 2.7914 (2.7489)	Prec@1 35.156 (34.368)	Prec@5 63.281 (64.826)
Epoch: [23][4920/14090]	Time 0.771 (0.767)	Data 0.001 (0.002)	Loss 2.6609 (2.7490)	Prec@1 34.375 (34.366)	Prec@5 65.625 (64.826)
Epoch: [23][4930/14090]	Time 0.776 (0.767)	Data 0.003 (0.002)	Loss 2.9930 (2.7491)	Prec@1 30.469 (34.364)	Prec@5 59.375 (64.826)
Epoch: [23][4940/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 2.6114 (2.7491)	Prec@1 34.375 (34.365)	Prec@5 65.625 (64.824)
Epoch: [23][4950/14090]	Time 0.774 (0.767)	Data 0.001 (0.002)	Loss 2.5163 (2.7491)	Prec@1 39.844 (34.364)	Prec@5 66.406 (64.823)
Epoch: [23][4960/14090]	Time 0.895 (0.767)	Data 0.001 (0.002)	Loss 2.6920 (2.7490)	Prec@1 35.938 (34.364)	Prec@5 60.938 (64.824)
Epoch: [23][4970/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 2.5996 (2.7489)	Prec@1 39.062 (34.364)	Prec@5 68.750 (64.829)
Epoch: [23][4980/14090]	Time 0.772 (0.767)	Data 0.001 (0.002)	Loss 2.7788 (2.7490)	Prec@1 32.031 (34.360)	Prec@5 63.281 (64.823)
Epoch: [23][4990/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 2.8287 (2.7489)	Prec@1 35.938 (34.366)	Prec@5 64.062 (64.823)
Epoch: [23][5000/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 3.0278 (2.7489)	Prec@1 29.688 (34.365)	Prec@5 55.469 (64.822)
Epoch: [23][5010/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 2.9469 (2.7488)	Prec@1 32.812 (34.364)	Prec@5 60.938 (64.824)
Epoch: [23][5020/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 2.6471 (2.7486)	Prec@1 35.156 (34.367)	Prec@5 69.531 (64.826)
Epoch: [23][5030/14090]	Time 0.919 (0.767)	Data 0.001 (0.002)	Loss 2.7479 (2.7485)	Prec@1 29.688 (34.368)	Prec@5 60.938 (64.827)
Epoch: [23][5040/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 2.6755 (2.7484)	Prec@1 34.375 (34.371)	Prec@5 67.969 (64.827)
Epoch: [23][5050/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 2.6806 (2.7486)	Prec@1 31.250 (34.366)	Prec@5 67.969 (64.824)
Epoch: [23][5060/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 2.6415 (2.7486)	Prec@1 32.031 (34.364)	Prec@5 65.625 (64.825)
Epoch: [23][5070/14090]	Time 0.723 (0.767)	Data 0.001 (0.002)	Loss 2.7307 (2.7485)	Prec@1 33.594 (34.363)	Prec@5 59.375 (64.827)
Epoch: [23][5080/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 2.5023 (2.7485)	Prec@1 38.281 (34.365)	Prec@5 68.750 (64.826)
Epoch: [23][5090/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.6594 (2.7483)	Prec@1 37.500 (34.368)	Prec@5 67.188 (64.828)
Epoch: [23][5100/14090]	Time 0.845 (0.767)	Data 0.001 (0.002)	Loss 2.8629 (2.7485)	Prec@1 36.719 (34.367)	Prec@5 61.719 (64.826)
Epoch: [23][5110/14090]	Time 0.726 (0.767)	Data 0.001 (0.002)	Loss 3.0458 (2.7483)	Prec@1 25.781 (34.370)	Prec@5 59.375 (64.831)
Epoch: [23][5120/14090]	Time 0.722 (0.767)	Data 0.001 (0.002)	Loss 2.9289 (2.7485)	Prec@1 32.812 (34.369)	Prec@5 61.719 (64.831)
Epoch: [23][5130/14090]	Time 0.781 (0.767)	Data 0.001 (0.002)	Loss 2.9096 (2.7486)	Prec@1 33.594 (34.372)	Prec@5 64.062 (64.830)
Epoch: [23][5140/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 2.9572 (2.7486)	Prec@1 32.812 (34.373)	Prec@5 58.594 (64.830)
Epoch: [23][5150/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.9357 (2.7487)	Prec@1 36.719 (34.376)	Prec@5 56.250 (64.828)
Epoch: [23][5160/14090]	Time 0.773 (0.767)	Data 0.001 (0.002)	Loss 2.8225 (2.7487)	Prec@1 32.812 (34.373)	Prec@5 60.938 (64.830)
Epoch: [23][5170/14090]	Time 0.913 (0.767)	Data 0.001 (0.002)	Loss 2.8981 (2.7488)	Prec@1 31.250 (34.373)	Prec@5 64.844 (64.828)
Epoch: [23][5180/14090]	Time 0.723 (0.767)	Data 0.001 (0.002)	Loss 2.9880 (2.7489)	Prec@1 28.125 (34.372)	Prec@5 60.156 (64.829)
Epoch: [23][5190/14090]	Time 0.727 (0.767)	Data 0.001 (0.002)	Loss 2.6320 (2.7489)	Prec@1 36.719 (34.371)	Prec@5 69.531 (64.829)
Epoch: [23][5200/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.7831 (2.7490)	Prec@1 36.719 (34.370)	Prec@5 64.844 (64.829)
Epoch: [23][5210/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 3.0284 (2.7490)	Prec@1 26.562 (34.366)	Prec@5 57.031 (64.828)
Epoch: [23][5220/14090]	Time 0.726 (0.767)	Data 0.001 (0.002)	Loss 2.9657 (2.7488)	Prec@1 32.031 (34.370)	Prec@5 60.156 (64.834)
Epoch: [23][5230/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.8826 (2.7489)	Prec@1 34.375 (34.372)	Prec@5 60.156 (64.833)
Epoch: [23][5240/14090]	Time 0.875 (0.767)	Data 0.001 (0.002)	Loss 2.8782 (2.7490)	Prec@1 37.500 (34.373)	Prec@5 62.500 (64.831)
Epoch: [23][5250/14090]	Time 0.724 (0.767)	Data 0.001 (0.002)	Loss 2.7510 (2.7489)	Prec@1 38.281 (34.375)	Prec@5 63.281 (64.836)
Epoch: [23][5260/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 2.9839 (2.7489)	Prec@1 28.906 (34.374)	Prec@5 62.500 (64.836)
Epoch: [23][5270/14090]	Time 0.785 (0.767)	Data 0.001 (0.002)	Loss 2.8618 (2.7491)	Prec@1 32.812 (34.372)	Prec@5 63.281 (64.833)
Epoch: [23][5280/14090]	Time 0.775 (0.767)	Data 0.001 (0.002)	Loss 2.5507 (2.7490)	Prec@1 40.625 (34.370)	Prec@5 64.062 (64.834)
Epoch: [23][5290/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 2.7656 (2.7492)	Prec@1 30.469 (34.367)	Prec@5 64.062 (64.832)
Epoch: [23][5300/14090]	Time 0.768 (0.767)	Data 0.001 (0.002)	Loss 2.7384 (2.7493)	Prec@1 37.500 (34.363)	Prec@5 60.156 (64.829)
Epoch: [23][5310/14090]	Time 0.889 (0.767)	Data 0.001 (0.002)	Loss 2.5998 (2.7493)	Prec@1 39.844 (34.364)	Prec@5 66.406 (64.825)
Epoch: [23][5320/14090]	Time 0.767 (0.767)	Data 0.001 (0.002)	Loss 2.9293 (2.7494)	Prec@1 28.906 (34.364)	Prec@5 57.031 (64.825)
Epoch: [23][5330/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 2.8361 (2.7495)	Prec@1 30.469 (34.362)	Prec@5 64.844 (64.820)
Epoch: [23][5340/14090]	Time 0.773 (0.767)	Data 0.001 (0.002)	Loss 2.6992 (2.7495)	Prec@1 33.594 (34.363)	Prec@5 66.406 (64.822)
Epoch: [23][5350/14090]	Time 0.774 (0.767)	Data 0.001 (0.002)	Loss 2.9422 (2.7495)	Prec@1 30.469 (34.364)	Prec@5 61.719 (64.821)
Epoch: [23][5360/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.7180 (2.7494)	Prec@1 39.844 (34.364)	Prec@5 66.406 (64.820)
Epoch: [23][5370/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 2.7990 (2.7494)	Prec@1 28.906 (34.364)	Prec@5 61.719 (64.820)
Epoch: [23][5380/14090]	Time 0.881 (0.767)	Data 0.001 (0.002)	Loss 2.8956 (2.7493)	Prec@1 31.250 (34.367)	Prec@5 59.375 (64.818)
Epoch: [23][5390/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 2.5933 (2.7492)	Prec@1 43.750 (34.373)	Prec@5 65.625 (64.822)
Epoch: [23][5400/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 2.5060 (2.7491)	Prec@1 40.625 (34.373)	Prec@5 71.094 (64.822)
Epoch: [23][5410/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.6441 (2.7492)	Prec@1 35.938 (34.371)	Prec@5 71.094 (64.821)
Epoch: [23][5420/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 2.8713 (2.7492)	Prec@1 34.375 (34.369)	Prec@5 62.500 (64.818)
Epoch: [23][5430/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 3.1005 (2.7492)	Prec@1 27.344 (34.368)	Prec@5 57.031 (64.820)
Epoch: [23][5440/14090]	Time 0.784 (0.767)	Data 0.002 (0.002)	Loss 2.6498 (2.7490)	Prec@1 36.719 (34.370)	Prec@5 67.188 (64.825)
Epoch: [23][5450/14090]	Time 0.905 (0.767)	Data 0.001 (0.002)	Loss 2.7823 (2.7490)	Prec@1 35.938 (34.371)	Prec@5 64.062 (64.822)
Epoch: [23][5460/14090]	Time 0.767 (0.767)	Data 0.001 (0.002)	Loss 3.0216 (2.7489)	Prec@1 32.812 (34.373)	Prec@5 60.156 (64.827)
Epoch: [23][5470/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 2.5757 (2.7489)	Prec@1 37.500 (34.373)	Prec@5 74.219 (64.827)
Epoch: [23][5480/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 2.6781 (2.7491)	Prec@1 32.812 (34.368)	Prec@5 67.188 (64.824)
Epoch: [23][5490/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 2.7365 (2.7491)	Prec@1 32.812 (34.365)	Prec@5 67.969 (64.823)
Epoch: [23][5500/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 2.5926 (2.7491)	Prec@1 39.062 (34.365)	Prec@5 60.938 (64.819)
Epoch: [23][5510/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 2.6212 (2.7491)	Prec@1 35.938 (34.365)	Prec@5 64.062 (64.820)
Epoch: [23][5520/14090]	Time 0.928 (0.767)	Data 0.003 (0.002)	Loss 2.9778 (2.7494)	Prec@1 34.375 (34.362)	Prec@5 60.938 (64.815)
Epoch: [23][5530/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 2.8319 (2.7496)	Prec@1 28.906 (34.357)	Prec@5 64.844 (64.808)
Epoch: [23][5540/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.6716 (2.7497)	Prec@1 37.500 (34.359)	Prec@5 69.531 (64.806)
Epoch: [23][5550/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 2.7196 (2.7499)	Prec@1 39.844 (34.357)	Prec@5 67.969 (64.802)
Epoch: [23][5560/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 2.7024 (2.7498)	Prec@1 30.469 (34.356)	Prec@5 67.188 (64.805)
Epoch: [23][5570/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 2.8857 (2.7501)	Prec@1 27.344 (34.352)	Prec@5 57.031 (64.800)
Epoch: [23][5580/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 2.7754 (2.7501)	Prec@1 31.250 (34.353)	Prec@5 65.625 (64.800)
Epoch: [23][5590/14090]	Time 0.863 (0.767)	Data 0.001 (0.002)	Loss 2.6651 (2.7501)	Prec@1 34.375 (34.350)	Prec@5 64.062 (64.798)
Epoch: [23][5600/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.7343 (2.7502)	Prec@1 35.938 (34.348)	Prec@5 66.406 (64.797)
Epoch: [23][5610/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 2.6386 (2.7503)	Prec@1 33.594 (34.347)	Prec@5 67.188 (64.793)
Epoch: [23][5620/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 3.1117 (2.7504)	Prec@1 26.562 (34.345)	Prec@5 57.031 (64.792)
Epoch: [23][5630/14090]	Time 0.777 (0.767)	Data 0.001 (0.002)	Loss 2.5646 (2.7504)	Prec@1 40.625 (34.346)	Prec@5 67.188 (64.790)
Epoch: [23][5640/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 2.5013 (2.7502)	Prec@1 35.938 (34.348)	Prec@5 64.844 (64.792)
Epoch: [23][5650/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.8278 (2.7500)	Prec@1 30.469 (34.349)	Prec@5 63.281 (64.797)
Epoch: [23][5660/14090]	Time 0.842 (0.767)	Data 0.001 (0.002)	Loss 2.6281 (2.7500)	Prec@1 33.594 (34.348)	Prec@5 68.750 (64.795)
Epoch: [23][5670/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 2.7730 (2.7500)	Prec@1 32.812 (34.347)	Prec@5 60.156 (64.795)
Epoch: [23][5680/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 2.7937 (2.7499)	Prec@1 35.938 (34.351)	Prec@5 59.375 (64.797)
Epoch: [23][5690/14090]	Time 0.769 (0.767)	Data 0.001 (0.002)	Loss 2.7037 (2.7500)	Prec@1 34.375 (34.349)	Prec@5 70.312 (64.795)
Epoch: [23][5700/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 2.7089 (2.7499)	Prec@1 36.719 (34.355)	Prec@5 64.844 (64.798)
Epoch: [23][5710/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 3.0637 (2.7498)	Prec@1 26.562 (34.356)	Prec@5 61.719 (64.801)
Epoch: [23][5720/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 3.0578 (2.7499)	Prec@1 28.125 (34.353)	Prec@5 60.938 (64.800)
Epoch: [23][5730/14090]	Time 0.913 (0.767)	Data 0.001 (0.002)	Loss 2.8641 (2.7499)	Prec@1 38.281 (34.356)	Prec@5 60.156 (64.798)
Epoch: [23][5740/14090]	Time 0.769 (0.767)	Data 0.001 (0.002)	Loss 2.7493 (2.7502)	Prec@1 29.688 (34.353)	Prec@5 71.094 (64.795)
Epoch: [23][5750/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.8901 (2.7501)	Prec@1 33.594 (34.354)	Prec@5 62.500 (64.798)
Epoch: [23][5760/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 2.6918 (2.7501)	Prec@1 35.156 (34.355)	Prec@5 66.406 (64.799)
Epoch: [23][5770/14090]	Time 0.762 (0.767)	Data 0.001 (0.002)	Loss 2.7021 (2.7502)	Prec@1 35.938 (34.353)	Prec@5 64.844 (64.799)
Epoch: [23][5780/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 2.5544 (2.7500)	Prec@1 33.594 (34.354)	Prec@5 66.406 (64.803)
Epoch: [23][5790/14090]	Time 0.726 (0.767)	Data 0.001 (0.002)	Loss 2.5034 (2.7499)	Prec@1 39.844 (34.355)	Prec@5 68.750 (64.805)
Epoch: [23][5800/14090]	Time 0.851 (0.767)	Data 0.001 (0.002)	Loss 2.9945 (2.7499)	Prec@1 26.562 (34.357)	Prec@5 61.719 (64.805)
Epoch: [23][5810/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 3.1608 (2.7500)	Prec@1 23.438 (34.356)	Prec@5 57.812 (64.803)
Epoch: [23][5820/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 2.8050 (2.7500)	Prec@1 34.375 (34.355)	Prec@5 66.406 (64.800)
Epoch: [23][5830/14090]	Time 0.731 (0.767)	Data 0.001 (0.002)	Loss 2.8123 (2.7500)	Prec@1 36.719 (34.355)	Prec@5 67.188 (64.802)
Epoch: [23][5840/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 2.7968 (2.7498)	Prec@1 35.156 (34.356)	Prec@5 58.594 (64.804)
Epoch: [23][5850/14090]	Time 0.741 (0.767)	Data 0.002 (0.002)	Loss 2.8823 (2.7499)	Prec@1 30.469 (34.357)	Prec@5 64.844 (64.803)
Epoch: [23][5860/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 2.6213 (2.7498)	Prec@1 39.062 (34.358)	Prec@5 71.094 (64.807)
Epoch: [23][5870/14090]	Time 0.852 (0.767)	Data 0.001 (0.002)	Loss 2.6887 (2.7499)	Prec@1 32.812 (34.356)	Prec@5 64.062 (64.806)
Epoch: [23][5880/14090]	Time 0.726 (0.767)	Data 0.001 (0.002)	Loss 2.6675 (2.7500)	Prec@1 36.719 (34.359)	Prec@5 65.625 (64.803)
Epoch: [23][5890/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 2.8346 (2.7499)	Prec@1 39.062 (34.363)	Prec@5 65.625 (64.804)
Epoch: [23][5900/14090]	Time 0.726 (0.767)	Data 0.001 (0.002)	Loss 2.7381 (2.7500)	Prec@1 32.812 (34.360)	Prec@5 64.844 (64.802)
Epoch: [23][5910/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 2.3338 (2.7500)	Prec@1 39.844 (34.361)	Prec@5 77.344 (64.803)
Epoch: [23][5920/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.6277 (2.7500)	Prec@1 37.500 (34.362)	Prec@5 63.281 (64.800)
Epoch: [23][5930/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 2.8909 (2.7502)	Prec@1 28.125 (34.359)	Prec@5 63.281 (64.798)
Epoch: [23][5940/14090]	Time 0.864 (0.767)	Data 0.001 (0.002)	Loss 2.4723 (2.7501)	Prec@1 39.062 (34.362)	Prec@5 71.094 (64.801)
Epoch: [23][5950/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 2.5734 (2.7500)	Prec@1 35.938 (34.363)	Prec@5 71.094 (64.800)
Epoch: [23][5960/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 2.6515 (2.7499)	Prec@1 31.250 (34.366)	Prec@5 66.406 (64.800)
Epoch: [23][5970/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 2.5149 (2.7498)	Prec@1 36.719 (34.366)	Prec@5 70.312 (64.800)
Epoch: [23][5980/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.5562 (2.7499)	Prec@1 35.156 (34.365)	Prec@5 69.531 (64.801)
Epoch: [23][5990/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 2.7362 (2.7500)	Prec@1 35.938 (34.361)	Prec@5 61.719 (64.798)
Epoch: [23][6000/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 2.7458 (2.7501)	Prec@1 35.156 (34.358)	Prec@5 66.406 (64.799)
Epoch: [23][6010/14090]	Time 0.913 (0.767)	Data 0.001 (0.002)	Loss 2.7223 (2.7501)	Prec@1 36.719 (34.356)	Prec@5 64.062 (64.799)
Epoch: [23][6020/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 2.6509 (2.7501)	Prec@1 39.062 (34.359)	Prec@5 68.750 (64.801)
Epoch: [23][6030/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 2.8137 (2.7500)	Prec@1 29.688 (34.358)	Prec@5 60.938 (64.803)
Epoch: [23][6040/14090]	Time 0.721 (0.767)	Data 0.001 (0.002)	Loss 2.5704 (2.7501)	Prec@1 39.844 (34.356)	Prec@5 65.625 (64.798)
Epoch: [23][6050/14090]	Time 0.763 (0.767)	Data 0.001 (0.002)	Loss 2.5557 (2.7501)	Prec@1 39.844 (34.356)	Prec@5 71.875 (64.799)
Epoch: [23][6060/14090]	Time 0.757 (0.767)	Data 0.001 (0.002)	Loss 3.0121 (2.7501)	Prec@1 26.562 (34.354)	Prec@5 57.031 (64.798)
Epoch: [23][6070/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 2.9189 (2.7501)	Prec@1 32.812 (34.354)	Prec@5 57.812 (64.797)
Epoch: [23][6080/14090]	Time 0.889 (0.767)	Data 0.001 (0.002)	Loss 2.6670 (2.7501)	Prec@1 39.844 (34.353)	Prec@5 69.531 (64.799)
Epoch: [23][6090/14090]	Time 0.766 (0.767)	Data 0.002 (0.002)	Loss 2.8627 (2.7502)	Prec@1 32.812 (34.352)	Prec@5 62.500 (64.798)
Epoch: [23][6100/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 2.7505 (2.7502)	Prec@1 37.500 (34.350)	Prec@5 64.844 (64.797)
Epoch: [23][6110/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 2.7229 (2.7503)	Prec@1 36.719 (34.345)	Prec@5 61.719 (64.794)
Epoch: [23][6120/14090]	Time 0.757 (0.767)	Data 0.001 (0.002)	Loss 2.7118 (2.7503)	Prec@1 42.188 (34.348)	Prec@5 65.625 (64.794)
Epoch: [23][6130/14090]	Time 0.718 (0.767)	Data 0.001 (0.002)	Loss 2.9174 (2.7504)	Prec@1 31.250 (34.348)	Prec@5 65.625 (64.793)
Epoch: [23][6140/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 3.0050 (2.7504)	Prec@1 32.031 (34.349)	Prec@5 60.938 (64.797)
Epoch: [23][6150/14090]	Time 0.896 (0.767)	Data 0.001 (0.002)	Loss 2.6661 (2.7505)	Prec@1 34.375 (34.346)	Prec@5 63.281 (64.793)
Epoch: [23][6160/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.7015 (2.7505)	Prec@1 35.156 (34.345)	Prec@5 72.656 (64.794)
Epoch: [23][6170/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 2.7991 (2.7505)	Prec@1 33.594 (34.346)	Prec@5 61.719 (64.792)
Epoch: [23][6180/14090]	Time 0.763 (0.767)	Data 0.001 (0.002)	Loss 2.8878 (2.7504)	Prec@1 30.469 (34.348)	Prec@5 67.188 (64.796)
Epoch: [23][6190/14090]	Time 0.727 (0.767)	Data 0.001 (0.002)	Loss 2.6593 (2.7504)	Prec@1 28.906 (34.346)	Prec@5 70.312 (64.796)
Epoch: [23][6200/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 2.8045 (2.7506)	Prec@1 29.688 (34.344)	Prec@5 66.406 (64.795)
Epoch: [23][6210/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.7876 (2.7505)	Prec@1 32.031 (34.346)	Prec@5 64.844 (64.799)
Epoch: [23][6220/14090]	Time 0.828 (0.767)	Data 0.001 (0.002)	Loss 2.5551 (2.7506)	Prec@1 34.375 (34.343)	Prec@5 67.969 (64.800)
Epoch: [23][6230/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 2.3671 (2.7506)	Prec@1 39.844 (34.342)	Prec@5 75.000 (64.797)
Epoch: [23][6240/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 2.7683 (2.7505)	Prec@1 35.156 (34.343)	Prec@5 67.969 (64.800)
Epoch: [23][6250/14090]	Time 0.757 (0.767)	Data 0.001 (0.002)	Loss 2.3517 (2.7505)	Prec@1 39.844 (34.341)	Prec@5 71.875 (64.798)
Epoch: [23][6260/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.6870 (2.7505)	Prec@1 35.156 (34.341)	Prec@5 67.188 (64.798)
Epoch: [23][6270/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 2.7803 (2.7505)	Prec@1 30.469 (34.340)	Prec@5 67.969 (64.799)
Epoch: [23][6280/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 2.7376 (2.7505)	Prec@1 31.250 (34.340)	Prec@5 64.844 (64.799)
Epoch: [23][6290/14090]	Time 0.860 (0.767)	Data 0.001 (0.002)	Loss 2.7424 (2.7506)	Prec@1 34.375 (34.344)	Prec@5 66.406 (64.794)
Epoch: [23][6300/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 2.7025 (2.7506)	Prec@1 32.031 (34.346)	Prec@5 67.969 (64.794)
Epoch: [23][6310/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 2.5845 (2.7506)	Prec@1 35.938 (34.346)	Prec@5 68.750 (64.795)
Epoch: [23][6320/14090]	Time 0.777 (0.767)	Data 0.001 (0.002)	Loss 2.8013 (2.7505)	Prec@1 35.938 (34.347)	Prec@5 60.938 (64.795)
Epoch: [23][6330/14090]	Time 0.757 (0.767)	Data 0.001 (0.002)	Loss 2.9026 (2.7507)	Prec@1 30.469 (34.344)	Prec@5 59.375 (64.791)
Epoch: [23][6340/14090]	Time 0.757 (0.767)	Data 0.001 (0.002)	Loss 2.9157 (2.7508)	Prec@1 24.219 (34.341)	Prec@5 63.281 (64.791)
Epoch: [23][6350/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 2.9982 (2.7511)	Prec@1 33.594 (34.337)	Prec@5 53.906 (64.783)
Epoch: [23][6360/14090]	Time 0.897 (0.767)	Data 0.001 (0.002)	Loss 3.0533 (2.7512)	Prec@1 32.031 (34.333)	Prec@5 64.062 (64.782)
Epoch: [23][6370/14090]	Time 0.757 (0.767)	Data 0.001 (0.002)	Loss 2.3904 (2.7511)	Prec@1 42.188 (34.333)	Prec@5 71.875 (64.784)
Epoch: [23][6380/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 2.5414 (2.7510)	Prec@1 37.500 (34.333)	Prec@5 71.875 (64.787)
Epoch: [23][6390/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 2.7439 (2.7510)	Prec@1 35.938 (34.336)	Prec@5 64.844 (64.788)
Epoch: [23][6400/14090]	Time 0.792 (0.767)	Data 0.001 (0.001)	Loss 2.6264 (2.7510)	Prec@1 38.281 (34.337)	Prec@5 63.281 (64.785)
Epoch: [23][6410/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.4530 (2.7509)	Prec@1 37.500 (34.339)	Prec@5 71.094 (64.787)
Epoch: [23][6420/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 3.0796 (2.7508)	Prec@1 21.875 (34.339)	Prec@5 60.938 (64.789)
Epoch: [23][6430/14090]	Time 0.866 (0.767)	Data 0.001 (0.001)	Loss 2.6012 (2.7508)	Prec@1 38.281 (34.339)	Prec@5 69.531 (64.792)
Epoch: [23][6440/14090]	Time 0.775 (0.767)	Data 0.001 (0.001)	Loss 2.7144 (2.7508)	Prec@1 32.812 (34.337)	Prec@5 60.156 (64.792)
Epoch: [23][6450/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 2.6267 (2.7509)	Prec@1 35.938 (34.333)	Prec@5 68.750 (64.791)
Epoch: [23][6460/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 2.8052 (2.7509)	Prec@1 33.594 (34.333)	Prec@5 63.281 (64.792)
Epoch: [23][6470/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 2.8094 (2.7509)	Prec@1 33.594 (34.331)	Prec@5 62.500 (64.791)
Epoch: [23][6480/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 2.7244 (2.7510)	Prec@1 34.375 (34.330)	Prec@5 64.062 (64.788)
Epoch: [23][6490/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.3769 (2.7509)	Prec@1 43.750 (34.331)	Prec@5 70.312 (64.789)
Epoch: [23][6500/14090]	Time 0.834 (0.767)	Data 0.001 (0.001)	Loss 2.5858 (2.7511)	Prec@1 39.844 (34.329)	Prec@5 65.625 (64.786)
Epoch: [23][6510/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 2.7180 (2.7511)	Prec@1 36.719 (34.330)	Prec@5 67.188 (64.786)
Epoch: [23][6520/14090]	Time 0.727 (0.767)	Data 0.001 (0.001)	Loss 2.5539 (2.7510)	Prec@1 35.156 (34.332)	Prec@5 66.406 (64.787)
Epoch: [23][6530/14090]	Time 0.731 (0.767)	Data 0.003 (0.001)	Loss 2.6638 (2.7512)	Prec@1 41.406 (34.332)	Prec@5 70.312 (64.785)
Epoch: [23][6540/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 2.6737 (2.7511)	Prec@1 31.250 (34.333)	Prec@5 67.188 (64.788)
Epoch: [23][6550/14090]	Time 0.727 (0.767)	Data 0.001 (0.001)	Loss 3.1083 (2.7512)	Prec@1 30.469 (34.331)	Prec@5 60.156 (64.788)
Epoch: [23][6560/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 2.7939 (2.7512)	Prec@1 34.375 (34.333)	Prec@5 63.281 (64.785)
Epoch: [23][6570/14090]	Time 0.862 (0.767)	Data 0.001 (0.001)	Loss 2.8466 (2.7512)	Prec@1 34.375 (34.333)	Prec@5 60.156 (64.786)
Epoch: [23][6580/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 2.8005 (2.7511)	Prec@1 32.812 (34.335)	Prec@5 65.625 (64.790)
Epoch: [23][6590/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.8280 (2.7510)	Prec@1 33.594 (34.335)	Prec@5 63.281 (64.790)
Epoch: [23][6600/14090]	Time 0.772 (0.766)	Data 0.001 (0.001)	Loss 3.1151 (2.7512)	Prec@1 35.156 (34.335)	Prec@5 57.031 (64.787)
Epoch: [23][6610/14090]	Time 0.767 (0.766)	Data 0.001 (0.001)	Loss 2.8938 (2.7513)	Prec@1 30.469 (34.333)	Prec@5 65.625 (64.786)
Epoch: [23][6620/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.8644 (2.7512)	Prec@1 30.469 (34.333)	Prec@5 60.938 (64.788)
Epoch: [23][6630/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.8496 (2.7512)	Prec@1 33.594 (34.332)	Prec@5 59.375 (64.789)
Epoch: [23][6640/14090]	Time 0.843 (0.766)	Data 0.001 (0.001)	Loss 2.7579 (2.7512)	Prec@1 32.031 (34.330)	Prec@5 65.625 (64.788)
Epoch: [23][6650/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 2.4456 (2.7512)	Prec@1 45.312 (34.333)	Prec@5 68.750 (64.787)
Epoch: [23][6660/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.9421 (2.7513)	Prec@1 27.344 (34.331)	Prec@5 61.719 (64.783)
Epoch: [23][6670/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.5009 (2.7513)	Prec@1 40.625 (34.332)	Prec@5 73.438 (64.784)
Epoch: [23][6680/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.8587 (2.7513)	Prec@1 34.375 (34.331)	Prec@5 60.938 (64.783)
Epoch: [23][6690/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.5558 (2.7512)	Prec@1 40.625 (34.334)	Prec@5 69.531 (64.784)
Epoch: [23][6700/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.7345 (2.7513)	Prec@1 38.281 (34.333)	Prec@5 64.062 (64.783)
Epoch: [23][6710/14090]	Time 0.851 (0.766)	Data 0.001 (0.001)	Loss 3.1914 (2.7514)	Prec@1 25.000 (34.329)	Prec@5 53.906 (64.779)
Epoch: [23][6720/14090]	Time 0.770 (0.766)	Data 0.001 (0.001)	Loss 2.5853 (2.7515)	Prec@1 39.844 (34.327)	Prec@5 70.312 (64.778)
Epoch: [23][6730/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.3928 (2.7515)	Prec@1 39.062 (34.326)	Prec@5 70.312 (64.780)
Epoch: [23][6740/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.7075 (2.7516)	Prec@1 39.844 (34.325)	Prec@5 65.625 (64.778)
Epoch: [23][6750/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.6746 (2.7516)	Prec@1 36.719 (34.325)	Prec@5 65.625 (64.778)
Epoch: [23][6760/14090]	Time 0.773 (0.766)	Data 0.001 (0.001)	Loss 2.9611 (2.7516)	Prec@1 39.844 (34.326)	Prec@5 62.500 (64.778)
Epoch: [23][6770/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.9548 (2.7516)	Prec@1 32.031 (34.327)	Prec@5 61.719 (64.778)
Epoch: [23][6780/14090]	Time 0.822 (0.766)	Data 0.001 (0.001)	Loss 2.8625 (2.7515)	Prec@1 29.688 (34.327)	Prec@5 66.406 (64.781)
Epoch: [23][6790/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.7542 (2.7515)	Prec@1 38.281 (34.326)	Prec@5 59.375 (64.779)
Epoch: [23][6800/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.8756 (2.7514)	Prec@1 35.156 (34.329)	Prec@5 62.500 (64.781)
Epoch: [23][6810/14090]	Time 0.722 (0.766)	Data 0.001 (0.001)	Loss 3.0272 (2.7513)	Prec@1 30.469 (34.332)	Prec@5 60.156 (64.780)
Epoch: [23][6820/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.8115 (2.7512)	Prec@1 34.375 (34.334)	Prec@5 63.281 (64.782)
Epoch: [23][6830/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.7346 (2.7512)	Prec@1 39.062 (34.336)	Prec@5 61.719 (64.783)
Epoch: [23][6840/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.7653 (2.7513)	Prec@1 39.062 (34.335)	Prec@5 60.156 (64.780)
Epoch: [23][6850/14090]	Time 0.910 (0.766)	Data 0.001 (0.001)	Loss 2.7085 (2.7513)	Prec@1 36.719 (34.337)	Prec@5 65.625 (64.780)
Epoch: [23][6860/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.9131 (2.7513)	Prec@1 36.719 (34.337)	Prec@5 56.250 (64.779)
Epoch: [23][6870/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 3.0655 (2.7512)	Prec@1 26.562 (34.340)	Prec@5 52.344 (64.779)
Epoch: [23][6880/14090]	Time 0.750 (0.766)	Data 0.002 (0.001)	Loss 2.5994 (2.7513)	Prec@1 36.719 (34.335)	Prec@5 65.625 (64.780)
Epoch: [23][6890/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 3.1036 (2.7513)	Prec@1 34.375 (34.335)	Prec@5 60.938 (64.781)
Epoch: [23][6900/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.4317 (2.7511)	Prec@1 40.625 (34.339)	Prec@5 73.438 (64.782)
Epoch: [23][6910/14090]	Time 0.777 (0.766)	Data 0.001 (0.001)	Loss 2.7019 (2.7511)	Prec@1 34.375 (34.339)	Prec@5 67.188 (64.781)
Epoch: [23][6920/14090]	Time 0.888 (0.766)	Data 0.001 (0.001)	Loss 2.8529 (2.7511)	Prec@1 31.250 (34.339)	Prec@5 64.844 (64.778)
Epoch: [23][6930/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.7046 (2.7512)	Prec@1 35.938 (34.339)	Prec@5 67.188 (64.777)
Epoch: [23][6940/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.7910 (2.7512)	Prec@1 30.469 (34.339)	Prec@5 57.812 (64.774)
Epoch: [23][6950/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.7155 (2.7512)	Prec@1 35.156 (34.340)	Prec@5 67.188 (64.775)
Epoch: [23][6960/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.7107 (2.7513)	Prec@1 31.250 (34.337)	Prec@5 67.188 (64.774)
Epoch: [23][6970/14090]	Time 0.775 (0.766)	Data 0.002 (0.001)	Loss 3.0183 (2.7513)	Prec@1 32.812 (34.338)	Prec@5 57.031 (64.774)
Epoch: [23][6980/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.9123 (2.7513)	Prec@1 27.344 (34.337)	Prec@5 62.500 (64.774)
Epoch: [23][6990/14090]	Time 0.843 (0.766)	Data 0.001 (0.001)	Loss 2.8760 (2.7514)	Prec@1 31.250 (34.338)	Prec@5 64.844 (64.772)
Epoch: [23][7000/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.5921 (2.7513)	Prec@1 35.938 (34.340)	Prec@5 71.094 (64.776)
Epoch: [23][7010/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.8819 (2.7513)	Prec@1 35.938 (34.343)	Prec@5 64.062 (64.777)
Epoch: [23][7020/14090]	Time 0.775 (0.766)	Data 0.001 (0.001)	Loss 2.9259 (2.7513)	Prec@1 32.812 (34.345)	Prec@5 60.938 (64.778)
Epoch: [23][7030/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.7491 (2.7512)	Prec@1 34.375 (34.349)	Prec@5 62.500 (64.778)
Epoch: [23][7040/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.7463 (2.7512)	Prec@1 29.688 (34.349)	Prec@5 66.406 (64.780)
Epoch: [23][7050/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.9373 (2.7513)	Prec@1 38.281 (34.347)	Prec@5 60.156 (64.778)
Epoch: [23][7060/14090]	Time 0.871 (0.766)	Data 0.001 (0.001)	Loss 2.8870 (2.7512)	Prec@1 34.375 (34.348)	Prec@5 64.844 (64.779)
Epoch: [23][7070/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.6278 (2.7513)	Prec@1 33.594 (34.343)	Prec@5 64.062 (64.777)
Epoch: [23][7080/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.7011 (2.7514)	Prec@1 35.938 (34.343)	Prec@5 67.969 (64.774)
Epoch: [23][7090/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.6684 (2.7512)	Prec@1 36.719 (34.347)	Prec@5 68.750 (64.779)
Epoch: [23][7100/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.6350 (2.7510)	Prec@1 34.375 (34.349)	Prec@5 67.188 (64.783)
Epoch: [23][7110/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.7001 (2.7510)	Prec@1 34.375 (34.349)	Prec@5 64.844 (64.782)
Epoch: [23][7120/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 2.5571 (2.7511)	Prec@1 35.938 (34.348)	Prec@5 68.750 (64.780)
Epoch: [23][7130/14090]	Time 0.877 (0.766)	Data 0.001 (0.001)	Loss 2.6971 (2.7513)	Prec@1 35.938 (34.348)	Prec@5 64.844 (64.779)
Epoch: [23][7140/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.5542 (2.7513)	Prec@1 39.844 (34.349)	Prec@5 71.094 (64.779)
Epoch: [23][7150/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.8214 (2.7513)	Prec@1 31.250 (34.349)	Prec@5 64.062 (64.779)
Epoch: [23][7160/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.6736 (2.7512)	Prec@1 35.156 (34.352)	Prec@5 63.281 (64.783)
Epoch: [23][7170/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.7558 (2.7512)	Prec@1 29.688 (34.352)	Prec@5 63.281 (64.783)
Epoch: [23][7180/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.5905 (2.7512)	Prec@1 39.844 (34.354)	Prec@5 65.625 (64.782)
Epoch: [23][7190/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 2.9825 (2.7512)	Prec@1 35.156 (34.352)	Prec@5 62.500 (64.784)
Epoch: [23][7200/14090]	Time 0.902 (0.766)	Data 0.001 (0.001)	Loss 2.9401 (2.7512)	Prec@1 28.125 (34.349)	Prec@5 60.938 (64.785)
Epoch: [23][7210/14090]	Time 0.723 (0.766)	Data 0.001 (0.001)	Loss 2.9122 (2.7513)	Prec@1 33.594 (34.350)	Prec@5 62.500 (64.783)
Epoch: [23][7220/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.2639 (2.7512)	Prec@1 46.094 (34.351)	Prec@5 75.000 (64.784)
Epoch: [23][7230/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 3.0962 (2.7512)	Prec@1 24.219 (34.350)	Prec@5 55.469 (64.783)
Epoch: [23][7240/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.7933 (2.7512)	Prec@1 32.031 (34.349)	Prec@5 66.406 (64.785)
Epoch: [23][7250/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.8287 (2.7513)	Prec@1 32.031 (34.350)	Prec@5 62.500 (64.782)
Epoch: [23][7260/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 2.6840 (2.7513)	Prec@1 39.062 (34.351)	Prec@5 65.625 (64.781)
Epoch: [23][7270/14090]	Time 0.838 (0.766)	Data 0.001 (0.001)	Loss 3.0988 (2.7514)	Prec@1 30.469 (34.351)	Prec@5 57.031 (64.780)
Epoch: [23][7280/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.7343 (2.7514)	Prec@1 35.156 (34.348)	Prec@5 63.281 (64.778)
Epoch: [23][7290/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.5829 (2.7514)	Prec@1 39.062 (34.349)	Prec@5 65.625 (64.781)
Epoch: [23][7300/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 2.5352 (2.7513)	Prec@1 34.375 (34.350)	Prec@5 68.750 (64.783)
Epoch: [23][7310/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.8172 (2.7513)	Prec@1 30.469 (34.351)	Prec@5 67.969 (64.784)
Epoch: [23][7320/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.6803 (2.7514)	Prec@1 37.500 (34.351)	Prec@5 64.844 (64.783)
Epoch: [23][7330/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.7390 (2.7514)	Prec@1 36.719 (34.353)	Prec@5 60.156 (64.783)
Epoch: [23][7340/14090]	Time 0.839 (0.766)	Data 0.001 (0.001)	Loss 2.8706 (2.7514)	Prec@1 29.688 (34.353)	Prec@5 63.281 (64.783)
Epoch: [23][7350/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 2.9083 (2.7514)	Prec@1 30.469 (34.352)	Prec@5 57.812 (64.781)
Epoch: [23][7360/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.5083 (2.7514)	Prec@1 40.625 (34.352)	Prec@5 71.875 (64.783)
Epoch: [23][7370/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.8248 (2.7513)	Prec@1 31.250 (34.353)	Prec@5 64.844 (64.784)
Epoch: [23][7380/14090]	Time 0.772 (0.766)	Data 0.001 (0.001)	Loss 2.6818 (2.7513)	Prec@1 35.156 (34.351)	Prec@5 61.719 (64.785)
Epoch: [23][7390/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.7199 (2.7513)	Prec@1 34.375 (34.349)	Prec@5 63.281 (64.784)
Epoch: [23][7400/14090]	Time 0.769 (0.766)	Data 0.001 (0.001)	Loss 2.4659 (2.7512)	Prec@1 39.844 (34.351)	Prec@5 72.656 (64.786)
Epoch: [23][7410/14090]	Time 0.890 (0.766)	Data 0.001 (0.001)	Loss 2.8715 (2.7511)	Prec@1 31.250 (34.352)	Prec@5 61.719 (64.786)
Epoch: [23][7420/14090]	Time 0.724 (0.766)	Data 0.001 (0.001)	Loss 2.9760 (2.7513)	Prec@1 37.500 (34.351)	Prec@5 57.031 (64.784)
Epoch: [23][7430/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.8964 (2.7513)	Prec@1 30.469 (34.352)	Prec@5 61.719 (64.784)
Epoch: [23][7440/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.3577 (2.7512)	Prec@1 45.312 (34.354)	Prec@5 74.219 (64.786)
Epoch: [23][7450/14090]	Time 0.746 (0.766)	Data 0.003 (0.001)	Loss 2.6016 (2.7512)	Prec@1 37.500 (34.353)	Prec@5 66.406 (64.786)
Epoch: [23][7460/14090]	Time 0.724 (0.766)	Data 0.001 (0.001)	Loss 2.8348 (2.7511)	Prec@1 30.469 (34.354)	Prec@5 58.594 (64.787)
Epoch: [23][7470/14090]	Time 0.750 (0.766)	Data 0.002 (0.001)	Loss 3.0368 (2.7512)	Prec@1 31.250 (34.353)	Prec@5 57.031 (64.787)
Epoch: [23][7480/14090]	Time 1.017 (0.766)	Data 0.001 (0.001)	Loss 2.6772 (2.7513)	Prec@1 35.156 (34.350)	Prec@5 62.500 (64.786)
Epoch: [23][7490/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.6249 (2.7511)	Prec@1 38.281 (34.351)	Prec@5 66.406 (64.788)
Epoch: [23][7500/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.8997 (2.7512)	Prec@1 35.156 (34.352)	Prec@5 65.625 (64.788)
Epoch: [23][7510/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 2.9215 (2.7512)	Prec@1 32.031 (34.353)	Prec@5 59.375 (64.788)
Epoch: [23][7520/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 2.5794 (2.7513)	Prec@1 36.719 (34.353)	Prec@5 67.188 (64.786)
Epoch: [23][7530/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.6578 (2.7514)	Prec@1 37.500 (34.352)	Prec@5 67.969 (64.785)
Epoch: [23][7540/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.9116 (2.7514)	Prec@1 35.156 (34.353)	Prec@5 56.250 (64.783)
Epoch: [23][7550/14090]	Time 0.868 (0.766)	Data 0.001 (0.001)	Loss 2.5697 (2.7515)	Prec@1 38.281 (34.350)	Prec@5 67.969 (64.781)
Epoch: [23][7560/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.8349 (2.7516)	Prec@1 34.375 (34.348)	Prec@5 61.719 (64.778)
Epoch: [23][7570/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.6657 (2.7516)	Prec@1 35.938 (34.347)	Prec@5 68.750 (64.778)
Epoch: [23][7580/14090]	Time 0.782 (0.766)	Data 0.001 (0.001)	Loss 2.9225 (2.7516)	Prec@1 38.281 (34.349)	Prec@5 60.938 (64.780)
Epoch: [23][7590/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 3.0307 (2.7516)	Prec@1 34.375 (34.349)	Prec@5 61.719 (64.780)
Epoch: [23][7600/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.8468 (2.7517)	Prec@1 36.719 (34.348)	Prec@5 66.406 (64.780)
Epoch: [23][7610/14090]	Time 0.768 (0.766)	Data 0.001 (0.001)	Loss 2.7468 (2.7516)	Prec@1 35.156 (34.348)	Prec@5 60.156 (64.780)
Epoch: [23][7620/14090]	Time 0.843 (0.766)	Data 0.001 (0.001)	Loss 2.6209 (2.7517)	Prec@1 39.844 (34.347)	Prec@5 67.969 (64.779)
Epoch: [23][7630/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 3.0244 (2.7517)	Prec@1 30.469 (34.347)	Prec@5 58.594 (64.777)
Epoch: [23][7640/14090]	Time 0.781 (0.766)	Data 0.001 (0.001)	Loss 2.7401 (2.7518)	Prec@1 35.156 (34.348)	Prec@5 59.375 (64.776)
Epoch: [23][7650/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.6850 (2.7518)	Prec@1 35.938 (34.347)	Prec@5 64.844 (64.774)
Epoch: [23][7660/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.8586 (2.7517)	Prec@1 32.031 (34.348)	Prec@5 61.719 (64.777)
Epoch: [23][7670/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.7517 (2.7516)	Prec@1 33.594 (34.352)	Prec@5 67.188 (64.782)
Epoch: [23][7680/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.7615 (2.7516)	Prec@1 30.469 (34.353)	Prec@5 56.250 (64.780)
Epoch: [23][7690/14090]	Time 0.892 (0.766)	Data 0.001 (0.001)	Loss 2.6262 (2.7516)	Prec@1 38.281 (34.351)	Prec@5 65.625 (64.779)
Epoch: [23][7700/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.9577 (2.7517)	Prec@1 30.469 (34.348)	Prec@5 60.938 (64.778)
Epoch: [23][7710/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.8067 (2.7516)	Prec@1 34.375 (34.346)	Prec@5 64.062 (64.780)
Epoch: [23][7720/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.7698 (2.7516)	Prec@1 32.031 (34.347)	Prec@5 69.531 (64.781)
Epoch: [23][7730/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.8256 (2.7516)	Prec@1 28.906 (34.346)	Prec@5 60.156 (64.780)
Epoch: [23][7740/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.8120 (2.7516)	Prec@1 34.375 (34.346)	Prec@5 65.625 (64.781)
Epoch: [23][7750/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.7490 (2.7516)	Prec@1 37.500 (34.346)	Prec@5 64.844 (64.781)
Epoch: [23][7760/14090]	Time 0.867 (0.766)	Data 0.001 (0.001)	Loss 2.6420 (2.7516)	Prec@1 39.844 (34.347)	Prec@5 63.281 (64.782)
Epoch: [23][7770/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.6940 (2.7516)	Prec@1 33.594 (34.348)	Prec@5 67.969 (64.783)
Epoch: [23][7780/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.8803 (2.7516)	Prec@1 29.688 (34.349)	Prec@5 63.281 (64.783)
Epoch: [23][7790/14090]	Time 0.721 (0.766)	Data 0.001 (0.001)	Loss 2.5715 (2.7516)	Prec@1 35.938 (34.349)	Prec@5 72.656 (64.784)
Epoch: [23][7800/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.8110 (2.7517)	Prec@1 31.250 (34.347)	Prec@5 65.625 (64.782)
Epoch: [23][7810/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.9012 (2.7517)	Prec@1 32.031 (34.345)	Prec@5 57.812 (64.780)
Epoch: [23][7820/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 3.0751 (2.7517)	Prec@1 28.906 (34.344)	Prec@5 56.250 (64.779)
Epoch: [23][7830/14090]	Time 0.890 (0.766)	Data 0.001 (0.001)	Loss 2.9066 (2.7516)	Prec@1 32.812 (34.347)	Prec@5 64.062 (64.781)
Epoch: [23][7840/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 3.0918 (2.7516)	Prec@1 30.469 (34.349)	Prec@5 59.375 (64.783)
Epoch: [23][7850/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.6299 (2.7516)	Prec@1 39.062 (34.349)	Prec@5 64.844 (64.782)
Epoch: [23][7860/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.6696 (2.7516)	Prec@1 35.156 (34.349)	Prec@5 68.750 (64.784)
Epoch: [23][7870/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.8434 (2.7516)	Prec@1 32.812 (34.350)	Prec@5 60.938 (64.783)
Epoch: [23][7880/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.7758 (2.7517)	Prec@1 31.250 (34.348)	Prec@5 68.750 (64.781)
Epoch: [23][7890/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.7623 (2.7518)	Prec@1 34.375 (34.346)	Prec@5 64.844 (64.779)
Epoch: [23][7900/14090]	Time 0.840 (0.766)	Data 0.001 (0.001)	Loss 2.4731 (2.7518)	Prec@1 44.531 (34.345)	Prec@5 72.656 (64.778)
Epoch: [23][7910/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.7965 (2.7518)	Prec@1 35.156 (34.346)	Prec@5 59.375 (64.775)
Epoch: [23][7920/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 2.8437 (2.7518)	Prec@1 28.906 (34.347)	Prec@5 63.281 (64.776)
Epoch: [23][7930/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.9718 (2.7518)	Prec@1 25.781 (34.346)	Prec@5 63.281 (64.774)
Epoch: [23][7940/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.7677 (2.7518)	Prec@1 34.375 (34.345)	Prec@5 62.500 (64.772)
Epoch: [23][7950/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.9530 (2.7519)	Prec@1 33.594 (34.343)	Prec@5 59.375 (64.773)
Epoch: [23][7960/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.9283 (2.7520)	Prec@1 34.375 (34.340)	Prec@5 60.938 (64.771)
Epoch: [23][7970/14090]	Time 0.862 (0.766)	Data 0.001 (0.001)	Loss 2.9183 (2.7522)	Prec@1 34.375 (34.339)	Prec@5 66.406 (64.767)
Epoch: [23][7980/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.9106 (2.7523)	Prec@1 28.906 (34.338)	Prec@5 64.062 (64.766)
Epoch: [23][7990/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.6570 (2.7523)	Prec@1 37.500 (34.337)	Prec@5 69.531 (64.766)
Epoch: [23][8000/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.5804 (2.7523)	Prec@1 40.625 (34.339)	Prec@5 67.188 (64.767)
Epoch: [23][8010/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.8275 (2.7523)	Prec@1 37.500 (34.340)	Prec@5 64.062 (64.767)
Epoch: [23][8020/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 3.0129 (2.7524)	Prec@1 26.562 (34.337)	Prec@5 58.594 (64.764)
Epoch: [23][8030/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.8334 (2.7523)	Prec@1 32.031 (34.340)	Prec@5 61.719 (64.764)
Epoch: [23][8040/14090]	Time 0.882 (0.766)	Data 0.001 (0.001)	Loss 2.6584 (2.7524)	Prec@1 35.938 (34.341)	Prec@5 67.188 (64.764)
Epoch: [23][8050/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 2.6010 (2.7524)	Prec@1 32.812 (34.342)	Prec@5 67.188 (64.764)
Epoch: [23][8060/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.4997 (2.7523)	Prec@1 41.406 (34.343)	Prec@5 68.750 (64.765)
Epoch: [23][8070/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 2.6035 (2.7523)	Prec@1 35.938 (34.343)	Prec@5 68.750 (64.765)
Epoch: [23][8080/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.6985 (2.7524)	Prec@1 36.719 (34.342)	Prec@5 66.406 (64.762)
Epoch: [23][8090/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.9385 (2.7524)	Prec@1 30.469 (34.340)	Prec@5 64.062 (64.762)
Epoch: [23][8100/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.5484 (2.7524)	Prec@1 39.062 (34.339)	Prec@5 71.094 (64.762)
Epoch: [23][8110/14090]	Time 0.912 (0.766)	Data 0.001 (0.001)	Loss 2.8818 (2.7523)	Prec@1 30.469 (34.341)	Prec@5 60.156 (64.763)
Epoch: [23][8120/14090]	Time 0.775 (0.766)	Data 0.001 (0.001)	Loss 2.5404 (2.7522)	Prec@1 39.062 (34.344)	Prec@5 71.094 (64.766)
Epoch: [23][8130/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.6851 (2.7521)	Prec@1 39.062 (34.348)	Prec@5 67.969 (64.769)
Epoch: [23][8140/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.7315 (2.7520)	Prec@1 37.500 (34.350)	Prec@5 66.406 (64.770)
Epoch: [23][8150/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.8109 (2.7520)	Prec@1 33.594 (34.351)	Prec@5 60.938 (64.770)
Epoch: [23][8160/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.7949 (2.7521)	Prec@1 38.281 (34.352)	Prec@5 63.281 (64.768)
Epoch: [23][8170/14090]	Time 0.780 (0.766)	Data 0.001 (0.001)	Loss 2.6632 (2.7520)	Prec@1 36.719 (34.355)	Prec@5 64.844 (64.769)
Epoch: [23][8180/14090]	Time 0.891 (0.766)	Data 0.001 (0.001)	Loss 2.9007 (2.7521)	Prec@1 35.156 (34.353)	Prec@5 61.719 (64.766)
Epoch: [23][8190/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 3.0466 (2.7522)	Prec@1 28.125 (34.351)	Prec@5 58.594 (64.765)
Epoch: [23][8200/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.7306 (2.7523)	Prec@1 39.062 (34.350)	Prec@5 63.281 (64.764)
Epoch: [23][8210/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.7773 (2.7522)	Prec@1 36.719 (34.351)	Prec@5 64.062 (64.764)
Epoch: [23][8220/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.5473 (2.7523)	Prec@1 42.188 (34.352)	Prec@5 64.062 (64.761)
Epoch: [23][8230/14090]	Time 0.723 (0.766)	Data 0.001 (0.001)	Loss 2.8497 (2.7523)	Prec@1 34.375 (34.352)	Prec@5 62.500 (64.762)
Epoch: [23][8240/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.6719 (2.7522)	Prec@1 33.594 (34.352)	Prec@5 70.312 (64.763)
Epoch: [23][8250/14090]	Time 0.882 (0.766)	Data 0.001 (0.001)	Loss 2.4723 (2.7522)	Prec@1 35.938 (34.352)	Prec@5 71.094 (64.766)
Epoch: [23][8260/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.9737 (2.7521)	Prec@1 31.250 (34.351)	Prec@5 64.844 (64.767)
Epoch: [23][8270/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 3.0921 (2.7522)	Prec@1 28.125 (34.350)	Prec@5 57.031 (64.766)
Epoch: [23][8280/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.6426 (2.7521)	Prec@1 36.719 (34.350)	Prec@5 64.844 (64.766)
Epoch: [23][8290/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 3.0035 (2.7520)	Prec@1 30.469 (34.352)	Prec@5 57.812 (64.767)
Epoch: [23][8300/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.9245 (2.7521)	Prec@1 34.375 (34.352)	Prec@5 65.625 (64.766)
Epoch: [23][8310/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.7829 (2.7523)	Prec@1 35.938 (34.351)	Prec@5 67.188 (64.764)
Epoch: [23][8320/14090]	Time 0.878 (0.766)	Data 0.001 (0.001)	Loss 2.5583 (2.7522)	Prec@1 38.281 (34.352)	Prec@5 69.531 (64.766)
Epoch: [23][8330/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.8845 (2.7523)	Prec@1 35.938 (34.351)	Prec@5 59.375 (64.764)
Epoch: [23][8340/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.7588 (2.7524)	Prec@1 38.281 (34.350)	Prec@5 64.844 (64.762)
Epoch: [23][8350/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.9901 (2.7524)	Prec@1 33.594 (34.352)	Prec@5 57.031 (64.763)
Epoch: [23][8360/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 2.6269 (2.7524)	Prec@1 39.844 (34.352)	Prec@5 65.625 (64.762)
Epoch: [23][8370/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 2.5792 (2.7524)	Prec@1 34.375 (34.351)	Prec@5 70.312 (64.763)
Epoch: [23][8380/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.8121 (2.7524)	Prec@1 33.594 (34.350)	Prec@5 57.812 (64.763)
Epoch: [23][8390/14090]	Time 0.890 (0.766)	Data 0.001 (0.001)	Loss 2.7439 (2.7525)	Prec@1 32.812 (34.350)	Prec@5 64.062 (64.761)
Epoch: [23][8400/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.5956 (2.7524)	Prec@1 39.844 (34.350)	Prec@5 71.094 (64.764)
Epoch: [23][8410/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.5627 (2.7523)	Prec@1 36.719 (34.351)	Prec@5 66.406 (64.765)
Epoch: [23][8420/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.8912 (2.7522)	Prec@1 36.719 (34.351)	Prec@5 66.406 (64.767)
Epoch: [23][8430/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.9108 (2.7523)	Prec@1 28.906 (34.349)	Prec@5 63.281 (64.766)
Epoch: [23][8440/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.7305 (2.7525)	Prec@1 35.156 (34.345)	Prec@5 66.406 (64.764)
Epoch: [23][8450/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 2.7436 (2.7526)	Prec@1 30.469 (34.342)	Prec@5 65.625 (64.763)
Epoch: [23][8460/14090]	Time 0.834 (0.766)	Data 0.001 (0.001)	Loss 3.0146 (2.7526)	Prec@1 32.031 (34.342)	Prec@5 60.156 (64.762)
Epoch: [23][8470/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.7892 (2.7527)	Prec@1 37.500 (34.339)	Prec@5 68.750 (64.760)
Epoch: [23][8480/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.8500 (2.7526)	Prec@1 35.156 (34.341)	Prec@5 62.500 (64.761)
Epoch: [23][8490/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.9992 (2.7527)	Prec@1 28.906 (34.340)	Prec@5 57.812 (64.759)
Epoch: [23][8500/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.3733 (2.7526)	Prec@1 41.406 (34.340)	Prec@5 69.531 (64.761)
Epoch: [23][8510/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.6936 (2.7525)	Prec@1 36.719 (34.342)	Prec@5 65.625 (64.763)
Epoch: [23][8520/14090]	Time 0.782 (0.766)	Data 0.001 (0.001)	Loss 2.5912 (2.7524)	Prec@1 40.625 (34.345)	Prec@5 73.438 (64.764)
Epoch: [23][8530/14090]	Time 0.818 (0.766)	Data 0.001 (0.001)	Loss 2.8343 (2.7524)	Prec@1 38.281 (34.347)	Prec@5 59.375 (64.765)
Epoch: [23][8540/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.6898 (2.7524)	Prec@1 30.469 (34.348)	Prec@5 67.188 (64.766)
Epoch: [23][8550/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.6947 (2.7524)	Prec@1 35.156 (34.349)	Prec@5 66.406 (64.766)
Epoch: [23][8560/14090]	Time 0.762 (0.766)	Data 0.003 (0.001)	Loss 2.8125 (2.7524)	Prec@1 31.250 (34.348)	Prec@5 57.812 (64.765)
Epoch: [23][8570/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.8053 (2.7525)	Prec@1 36.719 (34.345)	Prec@5 61.719 (64.763)
Epoch: [23][8580/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.9071 (2.7526)	Prec@1 28.125 (34.343)	Prec@5 57.031 (64.760)
Epoch: [23][8590/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.8114 (2.7527)	Prec@1 28.125 (34.339)	Prec@5 64.844 (64.758)
Epoch: [23][8600/14090]	Time 0.915 (0.766)	Data 0.001 (0.001)	Loss 2.8228 (2.7527)	Prec@1 27.344 (34.338)	Prec@5 66.406 (64.758)
Epoch: [23][8610/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.8300 (2.7527)	Prec@1 34.375 (34.339)	Prec@5 65.625 (64.758)
Epoch: [23][8620/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.7897 (2.7528)	Prec@1 28.125 (34.338)	Prec@5 60.938 (64.756)
Epoch: [23][8630/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.7879 (2.7528)	Prec@1 35.938 (34.339)	Prec@5 67.188 (64.758)
Epoch: [23][8640/14090]	Time 0.780 (0.766)	Data 0.001 (0.001)	Loss 2.7427 (2.7527)	Prec@1 45.312 (34.342)	Prec@5 68.750 (64.759)
Epoch: [23][8650/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 3.0853 (2.7528)	Prec@1 28.906 (34.341)	Prec@5 57.031 (64.758)
Epoch: [23][8660/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.9348 (2.7527)	Prec@1 27.344 (34.341)	Prec@5 58.594 (64.760)
Epoch: [23][8670/14090]	Time 0.861 (0.766)	Data 0.001 (0.001)	Loss 2.5956 (2.7527)	Prec@1 36.719 (34.341)	Prec@5 70.312 (64.759)
Epoch: [23][8680/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.7369 (2.7526)	Prec@1 36.719 (34.341)	Prec@5 65.625 (64.760)
Epoch: [23][8690/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.7176 (2.7526)	Prec@1 35.938 (34.342)	Prec@5 63.281 (64.760)
Epoch: [23][8700/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.9927 (2.7526)	Prec@1 31.250 (34.344)	Prec@5 59.375 (64.760)
Epoch: [23][8710/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.5382 (2.7526)	Prec@1 38.281 (34.342)	Prec@5 67.188 (64.761)
Epoch: [23][8720/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.7655 (2.7527)	Prec@1 32.031 (34.340)	Prec@5 67.969 (64.758)
Epoch: [23][8730/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.6087 (2.7527)	Prec@1 39.844 (34.341)	Prec@5 69.531 (64.759)
Epoch: [23][8740/14090]	Time 0.862 (0.766)	Data 0.001 (0.001)	Loss 2.5526 (2.7526)	Prec@1 34.375 (34.342)	Prec@5 67.188 (64.760)
Epoch: [23][8750/14090]	Time 0.718 (0.766)	Data 0.001 (0.001)	Loss 2.5491 (2.7526)	Prec@1 37.500 (34.342)	Prec@5 68.750 (64.760)
Epoch: [23][8760/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.7839 (2.7526)	Prec@1 32.812 (34.343)	Prec@5 65.625 (64.760)
Epoch: [23][8770/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.5489 (2.7526)	Prec@1 37.500 (34.343)	Prec@5 69.531 (64.760)
Epoch: [23][8780/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.6629 (2.7526)	Prec@1 35.938 (34.343)	Prec@5 70.312 (64.760)
Epoch: [23][8790/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 3.1029 (2.7526)	Prec@1 25.781 (34.342)	Prec@5 60.156 (64.759)
Epoch: [23][8800/14090]	Time 0.776 (0.766)	Data 0.001 (0.001)	Loss 3.0230 (2.7527)	Prec@1 26.562 (34.339)	Prec@5 56.250 (64.758)
Epoch: [23][8810/14090]	Time 0.827 (0.766)	Data 0.001 (0.001)	Loss 2.6831 (2.7526)	Prec@1 35.156 (34.341)	Prec@5 65.625 (64.758)
Epoch: [23][8820/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 2.6993 (2.7527)	Prec@1 37.500 (34.340)	Prec@5 67.969 (64.757)
Epoch: [23][8830/14090]	Time 0.724 (0.766)	Data 0.001 (0.001)	Loss 2.5667 (2.7527)	Prec@1 32.031 (34.339)	Prec@5 69.531 (64.756)
Epoch: [23][8840/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.6412 (2.7527)	Prec@1 39.844 (34.341)	Prec@5 63.281 (64.756)
Epoch: [23][8850/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 2.5616 (2.7526)	Prec@1 32.031 (34.340)	Prec@5 64.844 (64.757)
Epoch: [23][8860/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.6247 (2.7526)	Prec@1 37.500 (34.340)	Prec@5 67.969 (64.758)
Epoch: [23][8870/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.7252 (2.7525)	Prec@1 35.156 (34.340)	Prec@5 67.969 (64.759)
Epoch: [23][8880/14090]	Time 0.890 (0.766)	Data 0.001 (0.001)	Loss 2.7482 (2.7525)	Prec@1 35.938 (34.340)	Prec@5 64.844 (64.758)
Epoch: [23][8890/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.4897 (2.7525)	Prec@1 38.281 (34.341)	Prec@5 69.531 (64.760)
Epoch: [23][8900/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.7511 (2.7524)	Prec@1 35.156 (34.340)	Prec@5 67.188 (64.761)
Epoch: [23][8910/14090]	Time 0.775 (0.766)	Data 0.001 (0.001)	Loss 2.8851 (2.7523)	Prec@1 35.156 (34.342)	Prec@5 57.031 (64.761)
Epoch: [23][8920/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 2.9717 (2.7523)	Prec@1 31.250 (34.340)	Prec@5 55.469 (64.761)
Epoch: [23][8930/14090]	Time 0.771 (0.766)	Data 0.001 (0.001)	Loss 2.6502 (2.7523)	Prec@1 31.250 (34.339)	Prec@5 67.969 (64.762)
Epoch: [23][8940/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.6969 (2.7522)	Prec@1 37.500 (34.341)	Prec@5 68.750 (64.765)
Epoch: [23][8950/14090]	Time 0.817 (0.766)	Data 0.001 (0.001)	Loss 2.9453 (2.7522)	Prec@1 32.031 (34.340)	Prec@5 58.594 (64.763)
Epoch: [23][8960/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.8988 (2.7522)	Prec@1 32.031 (34.340)	Prec@5 62.500 (64.764)
Epoch: [23][8970/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.8549 (2.7522)	Prec@1 33.594 (34.339)	Prec@5 64.062 (64.762)
Epoch: [23][8980/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.7542 (2.7523)	Prec@1 36.719 (34.338)	Prec@5 63.281 (64.760)
Epoch: [23][8990/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.9270 (2.7523)	Prec@1 32.031 (34.337)	Prec@5 60.938 (64.759)
Epoch: [23][9000/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 3.0126 (2.7524)	Prec@1 32.031 (34.337)	Prec@5 60.938 (64.758)
Epoch: [23][9010/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.6756 (2.7523)	Prec@1 32.031 (34.337)	Prec@5 66.406 (64.759)
Epoch: [23][9020/14090]	Time 0.846 (0.766)	Data 0.001 (0.001)	Loss 2.6173 (2.7523)	Prec@1 33.594 (34.338)	Prec@5 70.312 (64.761)
Epoch: [23][9030/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.4851 (2.7523)	Prec@1 40.625 (34.337)	Prec@5 68.750 (64.760)
Epoch: [23][9040/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.5649 (2.7522)	Prec@1 36.719 (34.340)	Prec@5 64.844 (64.760)
Epoch: [23][9050/14090]	Time 0.791 (0.766)	Data 0.001 (0.001)	Loss 2.6104 (2.7522)	Prec@1 35.938 (34.337)	Prec@5 67.188 (64.759)
Epoch: [23][9060/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.7919 (2.7522)	Prec@1 35.156 (34.337)	Prec@5 64.844 (64.759)
Epoch: [23][9070/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.5235 (2.7521)	Prec@1 37.500 (34.338)	Prec@5 72.656 (64.760)
Epoch: [23][9080/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.4989 (2.7521)	Prec@1 42.188 (34.339)	Prec@5 71.875 (64.761)
Epoch: [23][9090/14090]	Time 0.857 (0.766)	Data 0.001 (0.001)	Loss 2.6457 (2.7521)	Prec@1 35.156 (34.339)	Prec@5 69.531 (64.761)
Epoch: [23][9100/14090]	Time 0.768 (0.766)	Data 0.001 (0.001)	Loss 2.8556 (2.7521)	Prec@1 34.375 (34.339)	Prec@5 64.062 (64.759)
Epoch: [23][9110/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.9470 (2.7522)	Prec@1 32.031 (34.338)	Prec@5 58.594 (64.759)
Epoch: [23][9120/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.7144 (2.7521)	Prec@1 35.156 (34.338)	Prec@5 67.969 (64.761)
Epoch: [23][9130/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.4933 (2.7521)	Prec@1 35.938 (34.337)	Prec@5 68.750 (64.762)
Epoch: [23][9140/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.9113 (2.7521)	Prec@1 32.031 (34.338)	Prec@5 66.406 (64.765)
Epoch: [23][9150/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.5419 (2.7520)	Prec@1 40.625 (34.338)	Prec@5 64.062 (64.765)
Epoch: [23][9160/14090]	Time 0.972 (0.766)	Data 0.001 (0.001)	Loss 2.5266 (2.7520)	Prec@1 41.406 (34.340)	Prec@5 67.969 (64.767)
Epoch: [23][9170/14090]	Time 0.724 (0.766)	Data 0.001 (0.001)	Loss 2.8220 (2.7520)	Prec@1 35.938 (34.340)	Prec@5 60.938 (64.764)
Epoch: [23][9180/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.8826 (2.7521)	Prec@1 38.281 (34.340)	Prec@5 62.500 (64.761)
Epoch: [23][9190/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 2.5891 (2.7521)	Prec@1 35.156 (34.341)	Prec@5 71.875 (64.762)
Epoch: [23][9200/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.8668 (2.7521)	Prec@1 26.562 (34.340)	Prec@5 65.625 (64.761)
Epoch: [23][9210/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 2.6719 (2.7521)	Prec@1 39.844 (34.340)	Prec@5 70.312 (64.762)
Epoch: [23][9220/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.6799 (2.7520)	Prec@1 39.062 (34.342)	Prec@5 66.406 (64.764)
Epoch: [23][9230/14090]	Time 0.825 (0.766)	Data 0.001 (0.001)	Loss 2.7915 (2.7519)	Prec@1 34.375 (34.345)	Prec@5 63.281 (64.765)
Epoch: [23][9240/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 2.8985 (2.7520)	Prec@1 29.688 (34.343)	Prec@5 62.500 (64.765)
Epoch: [23][9250/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.8335 (2.7520)	Prec@1 30.469 (34.342)	Prec@5 65.625 (64.764)
Epoch: [23][9260/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.6164 (2.7520)	Prec@1 35.156 (34.343)	Prec@5 71.094 (64.765)
Epoch: [23][9270/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.6193 (2.7520)	Prec@1 35.938 (34.343)	Prec@5 69.531 (64.766)
Epoch: [23][9280/14090]	Time 0.790 (0.766)	Data 0.001 (0.001)	Loss 2.7014 (2.7519)	Prec@1 37.500 (34.344)	Prec@5 64.062 (64.767)
Epoch: [23][9290/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.5312 (2.7519)	Prec@1 37.500 (34.346)	Prec@5 70.312 (64.769)
Epoch: [23][9300/14090]	Time 0.840 (0.766)	Data 0.001 (0.001)	Loss 2.6888 (2.7519)	Prec@1 32.031 (34.347)	Prec@5 72.656 (64.771)
Epoch: [23][9310/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.8524 (2.7518)	Prec@1 30.469 (34.347)	Prec@5 63.281 (64.771)
Epoch: [23][9320/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.8905 (2.7519)	Prec@1 31.250 (34.346)	Prec@5 62.500 (64.772)
Epoch: [23][9330/14090]	Time 0.750 (0.766)	Data 0.002 (0.001)	Loss 2.9338 (2.7519)	Prec@1 30.469 (34.345)	Prec@5 61.719 (64.771)
Epoch: [23][9340/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.8977 (2.7519)	Prec@1 30.469 (34.345)	Prec@5 60.938 (64.771)
Epoch: [23][9350/14090]	Time 0.766 (0.766)	Data 0.003 (0.001)	Loss 2.7678 (2.7519)	Prec@1 35.938 (34.347)	Prec@5 63.281 (64.770)
Epoch: [23][9360/14090]	Time 0.767 (0.766)	Data 0.001 (0.001)	Loss 2.4692 (2.7519)	Prec@1 38.281 (34.349)	Prec@5 64.844 (64.771)
Epoch: [23][9370/14090]	Time 0.880 (0.766)	Data 0.001 (0.001)	Loss 2.6875 (2.7519)	Prec@1 35.938 (34.348)	Prec@5 67.188 (64.770)
Epoch: [23][9380/14090]	Time 0.724 (0.766)	Data 0.001 (0.001)	Loss 2.9067 (2.7518)	Prec@1 33.594 (34.348)	Prec@5 62.500 (64.771)
Epoch: [23][9390/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.5667 (2.7517)	Prec@1 39.062 (34.349)	Prec@5 70.312 (64.772)
Epoch: [23][9400/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.6808 (2.7516)	Prec@1 37.500 (34.349)	Prec@5 67.188 (64.774)
Epoch: [23][9410/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.6004 (2.7516)	Prec@1 39.062 (34.351)	Prec@5 69.531 (64.774)
Epoch: [23][9420/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.5784 (2.7516)	Prec@1 32.812 (34.349)	Prec@5 69.531 (64.773)
Epoch: [23][9430/14090]	Time 0.781 (0.766)	Data 0.001 (0.001)	Loss 2.6043 (2.7517)	Prec@1 38.281 (34.347)	Prec@5 69.531 (64.770)
Epoch: [23][9440/14090]	Time 0.968 (0.766)	Data 0.001 (0.001)	Loss 3.0627 (2.7517)	Prec@1 27.344 (34.348)	Prec@5 62.500 (64.768)
Epoch: [23][9450/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 2.7790 (2.7517)	Prec@1 34.375 (34.347)	Prec@5 61.719 (64.770)
Epoch: [23][9460/14090]	Time 0.782 (0.766)	Data 0.001 (0.001)	Loss 2.5208 (2.7516)	Prec@1 39.062 (34.348)	Prec@5 71.094 (64.772)
Epoch: [23][9470/14090]	Time 0.744 (0.766)	Data 0.003 (0.001)	Loss 2.7992 (2.7516)	Prec@1 34.375 (34.348)	Prec@5 60.938 (64.771)
Epoch: [23][9480/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 3.0072 (2.7516)	Prec@1 33.594 (34.348)	Prec@5 61.719 (64.771)
Epoch: [23][9490/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.7245 (2.7517)	Prec@1 38.281 (34.347)	Prec@5 65.625 (64.768)
Epoch: [23][9500/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.4824 (2.7518)	Prec@1 35.938 (34.345)	Prec@5 71.875 (64.765)
Epoch: [23][9510/14090]	Time 0.852 (0.766)	Data 0.001 (0.001)	Loss 2.2359 (2.7517)	Prec@1 43.750 (34.345)	Prec@5 78.125 (64.765)
Epoch: [23][9520/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.9273 (2.7517)	Prec@1 35.156 (34.345)	Prec@5 58.594 (64.764)
Epoch: [23][9530/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 2.4026 (2.7517)	Prec@1 46.094 (34.346)	Prec@5 65.625 (64.765)
Epoch: [23][9540/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.7690 (2.7517)	Prec@1 34.375 (34.345)	Prec@5 65.625 (64.765)
Epoch: [23][9550/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.3735 (2.7517)	Prec@1 40.625 (34.346)	Prec@5 75.781 (64.765)
Epoch: [23][9560/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.7819 (2.7518)	Prec@1 34.375 (34.345)	Prec@5 59.375 (64.764)
Epoch: [23][9570/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 2.7398 (2.7517)	Prec@1 34.375 (34.344)	Prec@5 66.406 (64.764)
Epoch: [23][9580/14090]	Time 0.852 (0.766)	Data 0.001 (0.001)	Loss 2.6175 (2.7517)	Prec@1 34.375 (34.345)	Prec@5 67.188 (64.765)
Epoch: [23][9590/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.6932 (2.7516)	Prec@1 32.812 (34.346)	Prec@5 60.938 (64.764)
Epoch: [23][9600/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 3.0912 (2.7516)	Prec@1 32.812 (34.347)	Prec@5 57.031 (64.766)
Epoch: [23][9610/14090]	Time 0.773 (0.766)	Data 0.001 (0.001)	Loss 2.5045 (2.7516)	Prec@1 37.500 (34.347)	Prec@5 73.438 (64.769)
Epoch: [23][9620/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.5990 (2.7516)	Prec@1 37.500 (34.349)	Prec@5 67.969 (64.768)
Epoch: [23][9630/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.8705 (2.7516)	Prec@1 30.469 (34.347)	Prec@5 62.500 (64.767)
Epoch: [23][9640/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.5639 (2.7517)	Prec@1 42.188 (34.345)	Prec@5 67.969 (64.765)
Epoch: [23][9650/14090]	Time 0.917 (0.766)	Data 0.001 (0.001)	Loss 2.6926 (2.7518)	Prec@1 35.156 (34.344)	Prec@5 66.406 (64.764)
Epoch: [23][9660/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.7405 (2.7518)	Prec@1 33.594 (34.344)	Prec@5 65.625 (64.764)
Epoch: [23][9670/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.6233 (2.7519)	Prec@1 39.062 (34.344)	Prec@5 67.969 (64.763)
Epoch: [23][9680/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.6679 (2.7519)	Prec@1 30.469 (34.342)	Prec@5 68.750 (64.763)
Epoch: [23][9690/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 3.0241 (2.7519)	Prec@1 27.344 (34.343)	Prec@5 60.156 (64.763)
Epoch: [23][9700/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.8545 (2.7520)	Prec@1 33.594 (34.340)	Prec@5 58.594 (64.761)
Epoch: [23][9710/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.5377 (2.7520)	Prec@1 36.719 (34.340)	Prec@5 68.750 (64.762)
Epoch: [23][9720/14090]	Time 0.857 (0.766)	Data 0.001 (0.001)	Loss 2.8009 (2.7520)	Prec@1 36.719 (34.341)	Prec@5 61.719 (64.762)
Epoch: [23][9730/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.6571 (2.7520)	Prec@1 35.156 (34.340)	Prec@5 62.500 (64.760)
Epoch: [23][9740/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 3.0762 (2.7521)	Prec@1 28.906 (34.338)	Prec@5 58.594 (64.759)
Epoch: [23][9750/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.8157 (2.7521)	Prec@1 38.281 (34.339)	Prec@5 64.062 (64.758)
Epoch: [23][9760/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.8277 (2.7522)	Prec@1 32.812 (34.339)	Prec@5 64.844 (64.756)
Epoch: [23][9770/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.5579 (2.7521)	Prec@1 41.406 (34.339)	Prec@5 67.969 (64.756)
Epoch: [23][9780/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.7805 (2.7522)	Prec@1 29.688 (34.337)	Prec@5 67.188 (64.753)
Epoch: [23][9790/14090]	Time 0.877 (0.766)	Data 0.001 (0.001)	Loss 2.7636 (2.7522)	Prec@1 30.469 (34.335)	Prec@5 62.500 (64.755)
Epoch: [23][9800/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.6276 (2.7520)	Prec@1 34.375 (34.338)	Prec@5 67.969 (64.758)
Epoch: [23][9810/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.5174 (2.7520)	Prec@1 35.156 (34.339)	Prec@5 71.875 (64.760)
Epoch: [23][9820/14090]	Time 0.720 (0.766)	Data 0.001 (0.001)	Loss 2.7694 (2.7520)	Prec@1 32.812 (34.338)	Prec@5 63.281 (64.760)
Epoch: [23][9830/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.9954 (2.7520)	Prec@1 33.594 (34.337)	Prec@5 61.719 (64.760)
Epoch: [23][9840/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.9606 (2.7521)	Prec@1 32.812 (34.337)	Prec@5 57.812 (64.760)
Epoch: [23][9850/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.4226 (2.7520)	Prec@1 41.406 (34.337)	Prec@5 71.875 (64.761)
Epoch: [23][9860/14090]	Time 0.851 (0.766)	Data 0.001 (0.001)	Loss 2.6102 (2.7520)	Prec@1 34.375 (34.336)	Prec@5 67.188 (64.760)
Epoch: [23][9870/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.8015 (2.7521)	Prec@1 35.156 (34.336)	Prec@5 66.406 (64.758)
Epoch: [23][9880/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.5085 (2.7522)	Prec@1 39.844 (34.334)	Prec@5 67.969 (64.755)
Epoch: [23][9890/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.7128 (2.7523)	Prec@1 35.156 (34.334)	Prec@5 64.844 (64.752)
Epoch: [23][9900/14090]	Time 0.780 (0.766)	Data 0.001 (0.001)	Loss 2.7523 (2.7523)	Prec@1 28.125 (34.331)	Prec@5 64.062 (64.752)
Epoch: [23][9910/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.6705 (2.7524)	Prec@1 35.156 (34.330)	Prec@5 73.438 (64.752)
Epoch: [23][9920/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 3.0259 (2.7524)	Prec@1 33.594 (34.330)	Prec@5 57.812 (64.752)
Epoch: [23][9930/14090]	Time 0.887 (0.766)	Data 0.001 (0.001)	Loss 2.7688 (2.7525)	Prec@1 29.688 (34.328)	Prec@5 62.500 (64.749)
Epoch: [23][9940/14090]	Time 0.722 (0.766)	Data 0.001 (0.001)	Loss 2.8158 (2.7525)	Prec@1 35.156 (34.326)	Prec@5 63.281 (64.749)
Epoch: [23][9950/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.3692 (2.7525)	Prec@1 41.406 (34.328)	Prec@5 69.531 (64.749)
Epoch: [23][9960/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.8529 (2.7525)	Prec@1 35.156 (34.328)	Prec@5 61.719 (64.750)
Epoch: [23][9970/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.7513 (2.7525)	Prec@1 34.375 (34.327)	Prec@5 64.062 (64.750)
Epoch: [23][9980/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.8052 (2.7525)	Prec@1 34.375 (34.327)	Prec@5 62.500 (64.747)
Epoch: [23][9990/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.8041 (2.7524)	Prec@1 32.812 (34.329)	Prec@5 63.281 (64.750)
Epoch: [23][10000/14090]	Time 0.888 (0.766)	Data 0.001 (0.001)	Loss 2.6874 (2.7524)	Prec@1 35.938 (34.328)	Prec@5 68.750 (64.750)
Epoch: [23][10010/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.7984 (2.7524)	Prec@1 32.812 (34.330)	Prec@5 66.406 (64.749)
Epoch: [23][10020/14090]	Time 0.774 (0.766)	Data 0.001 (0.001)	Loss 2.5875 (2.7525)	Prec@1 35.156 (34.329)	Prec@5 66.406 (64.749)
Epoch: [23][10030/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.8257 (2.7524)	Prec@1 35.938 (34.331)	Prec@5 61.719 (64.752)
Epoch: [23][10040/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.5957 (2.7525)	Prec@1 33.594 (34.328)	Prec@5 72.656 (64.750)
Epoch: [23][10050/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.4709 (2.7524)	Prec@1 36.719 (34.329)	Prec@5 73.438 (64.752)
Epoch: [23][10060/14090]	Time 0.769 (0.766)	Data 0.001 (0.001)	Loss 2.8391 (2.7525)	Prec@1 35.938 (34.331)	Prec@5 58.594 (64.753)
Epoch: [23][10070/14090]	Time 0.848 (0.766)	Data 0.001 (0.001)	Loss 2.8757 (2.7525)	Prec@1 28.125 (34.330)	Prec@5 63.281 (64.752)
Epoch: [23][10080/14090]	Time 0.802 (0.766)	Data 0.001 (0.001)	Loss 2.7679 (2.7524)	Prec@1 36.719 (34.333)	Prec@5 63.281 (64.753)
Epoch: [23][10090/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.8298 (2.7524)	Prec@1 25.000 (34.334)	Prec@5 64.844 (64.752)
Epoch: [23][10100/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.7835 (2.7524)	Prec@1 36.719 (34.334)	Prec@5 64.062 (64.751)
Epoch: [23][10110/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.9434 (2.7524)	Prec@1 39.062 (34.336)	Prec@5 61.719 (64.751)
Epoch: [23][10120/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.7410 (2.7524)	Prec@1 30.469 (34.336)	Prec@5 64.844 (64.752)
Epoch: [23][10130/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.8999 (2.7524)	Prec@1 38.281 (34.336)	Prec@5 63.281 (64.751)
Epoch: [23][10140/14090]	Time 0.861 (0.766)	Data 0.001 (0.001)	Loss 2.7240 (2.7524)	Prec@1 28.125 (34.336)	Prec@5 65.625 (64.750)
Epoch: [23][10150/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.9558 (2.7525)	Prec@1 26.562 (34.335)	Prec@5 58.594 (64.747)
Epoch: [23][10160/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.6028 (2.7526)	Prec@1 29.688 (34.333)	Prec@5 67.188 (64.748)
Epoch: [23][10170/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.8184 (2.7527)	Prec@1 29.688 (34.332)	Prec@5 64.844 (64.746)
Epoch: [23][10180/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.8862 (2.7528)	Prec@1 35.156 (34.331)	Prec@5 60.938 (64.744)
Epoch: [23][10190/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 2.5110 (2.7527)	Prec@1 39.062 (34.331)	Prec@5 69.531 (64.745)
Epoch: [23][10200/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.6071 (2.7528)	Prec@1 39.844 (34.331)	Prec@5 68.750 (64.744)
Epoch: [23][10210/14090]	Time 0.880 (0.766)	Data 0.001 (0.001)	Loss 2.8127 (2.7528)	Prec@1 32.812 (34.331)	Prec@5 66.406 (64.743)
Epoch: [23][10220/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.9434 (2.7528)	Prec@1 28.906 (34.332)	Prec@5 60.938 (64.743)
Epoch: [23][10230/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.6793 (2.7527)	Prec@1 35.156 (34.331)	Prec@5 66.406 (64.744)
Epoch: [23][10240/14090]	Time 0.779 (0.766)	Data 0.001 (0.001)	Loss 2.8794 (2.7528)	Prec@1 32.812 (34.331)	Prec@5 63.281 (64.744)
Epoch: [23][10250/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 3.0474 (2.7528)	Prec@1 32.031 (34.333)	Prec@5 56.250 (64.744)
Epoch: [23][10260/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 2.7669 (2.7528)	Prec@1 33.594 (34.332)	Prec@5 60.938 (64.744)
Epoch: [23][10270/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.7727 (2.7529)	Prec@1 33.594 (34.330)	Prec@5 67.188 (64.744)
Epoch: [23][10280/14090]	Time 0.875 (0.766)	Data 0.001 (0.001)	Loss 2.7224 (2.7528)	Prec@1 38.281 (34.333)	Prec@5 66.406 (64.744)
Epoch: [23][10290/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.6079 (2.7527)	Prec@1 32.031 (34.333)	Prec@5 71.875 (64.746)
Epoch: [23][10300/14090]	Time 0.769 (0.766)	Data 0.001 (0.001)	Loss 2.7446 (2.7528)	Prec@1 39.844 (34.334)	Prec@5 65.625 (64.746)
Epoch: [23][10310/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.6451 (2.7527)	Prec@1 38.281 (34.335)	Prec@5 67.969 (64.747)
Epoch: [23][10320/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.7784 (2.7527)	Prec@1 34.375 (34.333)	Prec@5 69.531 (64.747)
Epoch: [23][10330/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.8308 (2.7528)	Prec@1 29.688 (34.331)	Prec@5 64.062 (64.747)
Epoch: [23][10340/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.5463 (2.7528)	Prec@1 40.625 (34.331)	Prec@5 68.750 (64.745)
Epoch: [23][10350/14090]	Time 0.819 (0.766)	Data 0.001 (0.001)	Loss 2.5190 (2.7529)	Prec@1 37.500 (34.332)	Prec@5 72.656 (64.746)
Epoch: [23][10360/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.8868 (2.7529)	Prec@1 33.594 (34.332)	Prec@5 62.500 (64.744)
Epoch: [23][10370/14090]	Time 0.750 (0.766)	Data 0.002 (0.001)	Loss 2.7040 (2.7529)	Prec@1 34.375 (34.332)	Prec@5 60.938 (64.745)
Epoch: [23][10380/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.9957 (2.7529)	Prec@1 35.156 (34.333)	Prec@5 60.938 (64.746)
Epoch: [23][10390/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.7412 (2.7528)	Prec@1 34.375 (34.333)	Prec@5 62.500 (64.746)
Epoch: [23][10400/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.7610 (2.7529)	Prec@1 33.594 (34.332)	Prec@5 60.938 (64.744)
Epoch: [23][10410/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.8449 (2.7529)	Prec@1 32.812 (34.333)	Prec@5 61.719 (64.742)
Epoch: [23][10420/14090]	Time 0.873 (0.766)	Data 0.001 (0.001)	Loss 2.5091 (2.7529)	Prec@1 37.500 (34.333)	Prec@5 67.969 (64.743)
Epoch: [23][10430/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.3808 (2.7529)	Prec@1 45.312 (34.334)	Prec@5 67.969 (64.742)
Epoch: [23][10440/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.8118 (2.7529)	Prec@1 30.469 (34.332)	Prec@5 65.625 (64.741)
Epoch: [23][10450/14090]	Time 0.778 (0.766)	Data 0.001 (0.001)	Loss 2.6479 (2.7529)	Prec@1 39.062 (34.333)	Prec@5 65.625 (64.738)
Epoch: [23][10460/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.5748 (2.7529)	Prec@1 37.500 (34.335)	Prec@5 68.750 (64.740)
Epoch: [23][10470/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.6480 (2.7528)	Prec@1 39.062 (34.337)	Prec@5 64.844 (64.741)
Epoch: [23][10480/14090]	Time 0.721 (0.766)	Data 0.001 (0.001)	Loss 2.5660 (2.7529)	Prec@1 36.719 (34.336)	Prec@5 71.875 (64.738)
Epoch: [23][10490/14090]	Time 0.852 (0.766)	Data 0.002 (0.001)	Loss 2.8978 (2.7529)	Prec@1 32.031 (34.335)	Prec@5 56.250 (64.739)
Epoch: [23][10500/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 3.1749 (2.7530)	Prec@1 25.781 (34.334)	Prec@5 56.250 (64.738)
Epoch: [23][10510/14090]	Time 0.773 (0.766)	Data 0.001 (0.001)	Loss 2.6993 (2.7530)	Prec@1 35.156 (34.335)	Prec@5 66.406 (64.737)
Epoch: [23][10520/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.6080 (2.7531)	Prec@1 40.625 (34.333)	Prec@5 63.281 (64.736)
Epoch: [23][10530/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.7860 (2.7531)	Prec@1 32.812 (34.332)	Prec@5 67.969 (64.735)
Epoch: [23][10540/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 2.5078 (2.7531)	Prec@1 35.938 (34.331)	Prec@5 72.656 (64.734)
Epoch: [23][10550/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 3.0299 (2.7532)	Prec@1 28.125 (34.329)	Prec@5 58.594 (64.732)
Epoch: [23][10560/14090]	Time 0.897 (0.766)	Data 0.001 (0.001)	Loss 2.8924 (2.7532)	Prec@1 32.812 (34.327)	Prec@5 68.750 (64.731)
Epoch: [23][10570/14090]	Time 0.771 (0.766)	Data 0.002 (0.001)	Loss 2.6791 (2.7533)	Prec@1 35.938 (34.325)	Prec@5 67.969 (64.731)
Epoch: [23][10580/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 3.0898 (2.7533)	Prec@1 27.344 (34.325)	Prec@5 60.156 (64.732)
Epoch: [23][10590/14090]	Time 0.777 (0.766)	Data 0.001 (0.001)	Loss 2.6844 (2.7533)	Prec@1 34.375 (34.325)	Prec@5 60.938 (64.733)
Epoch: [23][10600/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.5213 (2.7533)	Prec@1 41.406 (34.325)	Prec@5 68.750 (64.734)
Epoch: [23][10610/14090]	Time 0.769 (0.766)	Data 0.001 (0.001)	Loss 2.7240 (2.7533)	Prec@1 29.688 (34.325)	Prec@5 64.844 (64.733)
Epoch: [23][10620/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.7212 (2.7532)	Prec@1 35.156 (34.327)	Prec@5 64.844 (64.734)
Epoch: [23][10630/14090]	Time 0.823 (0.766)	Data 0.001 (0.001)	Loss 2.9390 (2.7532)	Prec@1 30.469 (34.327)	Prec@5 54.688 (64.734)
Epoch: [23][10640/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.7076 (2.7532)	Prec@1 35.938 (34.329)	Prec@5 62.500 (64.735)
Epoch: [23][10650/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.7890 (2.7532)	Prec@1 32.031 (34.328)	Prec@5 61.719 (64.735)
Epoch: [23][10660/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.8293 (2.7532)	Prec@1 34.375 (34.328)	Prec@5 59.375 (64.734)
Epoch: [23][10670/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.6510 (2.7532)	Prec@1 39.844 (34.327)	Prec@5 69.531 (64.734)
Epoch: [23][10680/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.5781 (2.7533)	Prec@1 38.281 (34.326)	Prec@5 67.188 (64.732)
Epoch: [23][10690/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.6333 (2.7534)	Prec@1 38.281 (34.325)	Prec@5 69.531 (64.731)
Epoch: [23][10700/14090]	Time 0.844 (0.766)	Data 0.001 (0.001)	Loss 2.8561 (2.7534)	Prec@1 31.250 (34.324)	Prec@5 63.281 (64.730)
Epoch: [23][10710/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.4693 (2.7534)	Prec@1 39.844 (34.325)	Prec@5 66.406 (64.729)
Epoch: [23][10720/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.6574 (2.7534)	Prec@1 28.906 (34.324)	Prec@5 68.750 (64.730)
Epoch: [23][10730/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.6690 (2.7533)	Prec@1 33.594 (34.326)	Prec@5 64.062 (64.730)
Epoch: [23][10740/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.8846 (2.7534)	Prec@1 30.469 (34.325)	Prec@5 64.062 (64.729)
Epoch: [23][10750/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.9250 (2.7534)	Prec@1 28.906 (34.324)	Prec@5 60.156 (64.728)
Epoch: [23][10760/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.7091 (2.7534)	Prec@1 32.031 (34.323)	Prec@5 71.094 (64.729)
Epoch: [23][10770/14090]	Time 0.911 (0.766)	Data 0.001 (0.001)	Loss 2.9564 (2.7534)	Prec@1 28.906 (34.322)	Prec@5 58.594 (64.729)
Epoch: [23][10780/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.9279 (2.7534)	Prec@1 32.031 (34.322)	Prec@5 63.281 (64.729)
Epoch: [23][10790/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.8298 (2.7535)	Prec@1 27.344 (34.321)	Prec@5 65.625 (64.730)
Epoch: [23][10800/14090]	Time 0.768 (0.766)	Data 0.002 (0.001)	Loss 2.7600 (2.7535)	Prec@1 31.250 (34.320)	Prec@5 60.938 (64.729)
Epoch: [23][10810/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 3.0008 (2.7535)	Prec@1 35.156 (34.320)	Prec@5 59.375 (64.729)
Epoch: [23][10820/14090]	Time 0.723 (0.766)	Data 0.001 (0.001)	Loss 2.6833 (2.7534)	Prec@1 32.812 (34.321)	Prec@5 59.375 (64.731)
Epoch: [23][10830/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.9951 (2.7534)	Prec@1 29.688 (34.320)	Prec@5 57.812 (64.732)
Epoch: [23][10840/14090]	Time 0.894 (0.766)	Data 0.001 (0.001)	Loss 2.7212 (2.7534)	Prec@1 35.938 (34.320)	Prec@5 65.625 (64.732)
Epoch: [23][10850/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.9923 (2.7534)	Prec@1 34.375 (34.319)	Prec@5 60.938 (64.731)
Epoch: [23][10860/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 3.0121 (2.7535)	Prec@1 39.062 (34.317)	Prec@5 61.719 (64.730)
Epoch: [23][10870/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.9694 (2.7536)	Prec@1 28.906 (34.314)	Prec@5 60.938 (64.727)
Epoch: [23][10880/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.9126 (2.7536)	Prec@1 31.250 (34.313)	Prec@5 65.625 (64.727)
Epoch: [23][10890/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.8515 (2.7535)	Prec@1 27.344 (34.313)	Prec@5 59.375 (64.726)
Epoch: [23][10900/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.7723 (2.7535)	Prec@1 33.594 (34.315)	Prec@5 64.062 (64.727)
Epoch: [23][10910/14090]	Time 0.888 (0.766)	Data 0.001 (0.001)	Loss 2.7520 (2.7536)	Prec@1 28.125 (34.313)	Prec@5 63.281 (64.727)
Epoch: [23][10920/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.6937 (2.7535)	Prec@1 32.812 (34.315)	Prec@5 64.062 (64.728)
Epoch: [23][10930/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.7456 (2.7535)	Prec@1 33.594 (34.315)	Prec@5 64.062 (64.728)
Epoch: [23][10940/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 3.0806 (2.7536)	Prec@1 32.031 (34.311)	Prec@5 63.281 (64.726)
Epoch: [23][10950/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.9423 (2.7536)	Prec@1 28.125 (34.309)	Prec@5 64.844 (64.726)
Epoch: [23][10960/14090]	Time 0.723 (0.766)	Data 0.001 (0.001)	Loss 2.3897 (2.7536)	Prec@1 39.844 (34.308)	Prec@5 67.188 (64.724)
Epoch: [23][10970/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 3.0372 (2.7537)	Prec@1 32.812 (34.308)	Prec@5 59.375 (64.723)
Epoch: [23][10980/14090]	Time 0.825 (0.766)	Data 0.001 (0.001)	Loss 2.6039 (2.7537)	Prec@1 39.062 (34.308)	Prec@5 66.406 (64.723)
Epoch: [23][10990/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.7421 (2.7537)	Prec@1 32.031 (34.307)	Prec@5 64.844 (64.724)
Epoch: [23][11000/14090]	Time 0.777 (0.766)	Data 0.001 (0.001)	Loss 2.8605 (2.7537)	Prec@1 28.125 (34.305)	Prec@5 64.844 (64.724)
Epoch: [23][11010/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.7509 (2.7536)	Prec@1 36.719 (34.305)	Prec@5 63.281 (64.725)
Epoch: [23][11020/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.6502 (2.7535)	Prec@1 36.719 (34.307)	Prec@5 67.969 (64.728)
Epoch: [23][11030/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 2.7393 (2.7535)	Prec@1 33.594 (34.307)	Prec@5 66.406 (64.728)
Epoch: [23][11040/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.7927 (2.7535)	Prec@1 33.594 (34.305)	Prec@5 63.281 (64.729)
Epoch: [23][11050/14090]	Time 0.900 (0.766)	Data 0.001 (0.001)	Loss 2.5144 (2.7535)	Prec@1 46.875 (34.305)	Prec@5 69.531 (64.729)
Epoch: [23][11060/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.6902 (2.7536)	Prec@1 35.156 (34.303)	Prec@5 67.188 (64.728)
Epoch: [23][11070/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.5893 (2.7534)	Prec@1 38.281 (34.307)	Prec@5 66.406 (64.731)
Epoch: [23][11080/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.8111 (2.7534)	Prec@1 34.375 (34.307)	Prec@5 62.500 (64.731)
Epoch: [23][11090/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 3.1031 (2.7535)	Prec@1 25.781 (34.306)	Prec@5 60.938 (64.730)
Epoch: [23][11100/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 2.6823 (2.7535)	Prec@1 39.062 (34.307)	Prec@5 67.969 (64.729)
Epoch: [23][11110/14090]	Time 0.778 (0.766)	Data 0.001 (0.001)	Loss 2.6862 (2.7535)	Prec@1 37.500 (34.306)	Prec@5 67.969 (64.728)
Epoch: [23][11120/14090]	Time 0.894 (0.766)	Data 0.001 (0.001)	Loss 2.4440 (2.7536)	Prec@1 46.094 (34.305)	Prec@5 71.875 (64.728)
Epoch: [23][11130/14090]	Time 0.721 (0.766)	Data 0.001 (0.001)	Loss 2.8394 (2.7535)	Prec@1 30.469 (34.305)	Prec@5 62.500 (64.728)
Epoch: [23][11140/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.7558 (2.7534)	Prec@1 36.719 (34.307)	Prec@5 61.719 (64.731)
Epoch: [23][11150/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.8962 (2.7535)	Prec@1 37.500 (34.306)	Prec@5 65.625 (64.729)
Epoch: [23][11160/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.8023 (2.7535)	Prec@1 31.250 (34.305)	Prec@5 64.062 (64.728)
Epoch: [23][11170/14090]	Time 0.720 (0.766)	Data 0.001 (0.001)	Loss 3.0519 (2.7536)	Prec@1 35.156 (34.303)	Prec@5 56.250 (64.728)
Epoch: [23][11180/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.5805 (2.7536)	Prec@1 39.062 (34.303)	Prec@5 68.750 (64.727)
Epoch: [23][11190/14090]	Time 0.883 (0.766)	Data 0.001 (0.001)	Loss 2.7155 (2.7536)	Prec@1 37.500 (34.304)	Prec@5 64.062 (64.728)
Epoch: [23][11200/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 3.0764 (2.7536)	Prec@1 27.344 (34.304)	Prec@5 57.031 (64.728)
Epoch: [23][11210/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.9486 (2.7537)	Prec@1 29.688 (34.302)	Prec@5 60.156 (64.727)
Epoch: [23][11220/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 3.3372 (2.7538)	Prec@1 25.000 (34.302)	Prec@5 61.719 (64.727)
Epoch: [23][11230/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.5768 (2.7538)	Prec@1 39.062 (34.302)	Prec@5 67.969 (64.727)
Epoch: [23][11240/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 3.2510 (2.7539)	Prec@1 27.344 (34.301)	Prec@5 54.688 (64.726)
Epoch: [23][11250/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.6283 (2.7539)	Prec@1 36.719 (34.300)	Prec@5 67.188 (64.724)
Epoch: [23][11260/14090]	Time 0.849 (0.766)	Data 0.001 (0.001)	Loss 2.5192 (2.7539)	Prec@1 36.719 (34.300)	Prec@5 67.188 (64.724)
Epoch: [23][11270/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 3.0300 (2.7539)	Prec@1 28.906 (34.300)	Prec@5 66.406 (64.726)
Epoch: [23][11280/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.9518 (2.7539)	Prec@1 28.906 (34.300)	Prec@5 62.500 (64.725)
Epoch: [23][11290/14090]	Time 0.768 (0.766)	Data 0.001 (0.001)	Loss 2.9346 (2.7539)	Prec@1 33.594 (34.299)	Prec@5 61.719 (64.724)
Epoch: [23][11300/14090]	Time 0.773 (0.766)	Data 0.001 (0.001)	Loss 2.6935 (2.7540)	Prec@1 32.812 (34.297)	Prec@5 64.844 (64.723)
Epoch: [23][11310/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.8032 (2.7539)	Prec@1 25.781 (34.296)	Prec@5 67.969 (64.726)
Epoch: [23][11320/14090]	Time 0.769 (0.766)	Data 0.001 (0.001)	Loss 2.9088 (2.7539)	Prec@1 32.031 (34.297)	Prec@5 62.500 (64.726)
Epoch: [23][11330/14090]	Time 0.869 (0.766)	Data 0.001 (0.001)	Loss 2.8310 (2.7538)	Prec@1 34.375 (34.299)	Prec@5 60.156 (64.725)
Epoch: [23][11340/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 3.0205 (2.7539)	Prec@1 32.031 (34.299)	Prec@5 60.938 (64.724)
Epoch: [23][11350/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 2.8417 (2.7539)	Prec@1 36.719 (34.299)	Prec@5 71.094 (64.724)
Epoch: [23][11360/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.8125 (2.7540)	Prec@1 35.156 (34.299)	Prec@5 60.938 (64.723)
Epoch: [23][11370/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.7643 (2.7540)	Prec@1 32.031 (34.299)	Prec@5 59.375 (64.722)
Epoch: [23][11380/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.7815 (2.7540)	Prec@1 36.719 (34.299)	Prec@5 63.281 (64.722)
Epoch: [23][11390/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.5454 (2.7540)	Prec@1 39.062 (34.302)	Prec@5 67.969 (64.724)
Epoch: [23][11400/14090]	Time 0.884 (0.765)	Data 0.001 (0.001)	Loss 2.7049 (2.7540)	Prec@1 35.938 (34.301)	Prec@5 65.625 (64.723)
Epoch: [23][11410/14090]	Time 0.743 (0.765)	Data 0.003 (0.001)	Loss 3.1043 (2.7541)	Prec@1 28.906 (34.301)	Prec@5 57.031 (64.722)
Epoch: [23][11420/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.5932 (2.7540)	Prec@1 36.719 (34.301)	Prec@5 64.844 (64.723)
Epoch: [23][11430/14090]	Time 0.751 (0.765)	Data 0.003 (0.001)	Loss 2.7462 (2.7540)	Prec@1 28.125 (34.301)	Prec@5 64.062 (64.723)
Epoch: [23][11440/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.9749 (2.7541)	Prec@1 30.469 (34.301)	Prec@5 59.375 (64.721)
Epoch: [23][11450/14090]	Time 0.773 (0.766)	Data 0.001 (0.001)	Loss 2.7814 (2.7542)	Prec@1 31.250 (34.300)	Prec@5 65.625 (64.719)
Epoch: [23][11460/14090]	Time 0.724 (0.766)	Data 0.001 (0.001)	Loss 2.7204 (2.7542)	Prec@1 30.469 (34.299)	Prec@5 66.406 (64.718)
Epoch: [23][11470/14090]	Time 0.864 (0.766)	Data 0.001 (0.001)	Loss 2.6627 (2.7542)	Prec@1 32.812 (34.300)	Prec@5 67.969 (64.720)
Epoch: [23][11480/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.6944 (2.7542)	Prec@1 39.062 (34.299)	Prec@5 65.625 (64.721)
Epoch: [23][11490/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.7218 (2.7542)	Prec@1 32.031 (34.297)	Prec@5 63.281 (64.721)
Epoch: [23][11500/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.5122 (2.7543)	Prec@1 39.844 (34.297)	Prec@5 69.531 (64.721)
Epoch: [23][11510/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.6737 (2.7543)	Prec@1 35.938 (34.296)	Prec@5 65.625 (64.720)
Epoch: [23][11520/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.8915 (2.7544)	Prec@1 38.281 (34.295)	Prec@5 60.938 (64.719)
Epoch: [23][11530/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.5898 (2.7544)	Prec@1 38.281 (34.294)	Prec@5 67.969 (64.717)
Epoch: [23][11540/14090]	Time 0.877 (0.765)	Data 0.001 (0.001)	Loss 2.7835 (2.7544)	Prec@1 35.938 (34.295)	Prec@5 67.188 (64.718)
Epoch: [23][11550/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 3.0452 (2.7545)	Prec@1 26.562 (34.294)	Prec@5 58.594 (64.717)
Epoch: [23][11560/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.7449 (2.7545)	Prec@1 34.375 (34.294)	Prec@5 64.062 (64.717)
Epoch: [23][11570/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.7093 (2.7546)	Prec@1 35.156 (34.294)	Prec@5 68.750 (64.716)
Epoch: [23][11580/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.8475 (2.7546)	Prec@1 28.125 (34.292)	Prec@5 64.062 (64.716)
Epoch: [23][11590/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.7391 (2.7545)	Prec@1 28.906 (34.291)	Prec@5 67.188 (64.717)
Epoch: [23][11600/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.7222 (2.7545)	Prec@1 31.250 (34.291)	Prec@5 67.188 (64.717)
Epoch: [23][11610/14090]	Time 0.866 (0.765)	Data 0.001 (0.001)	Loss 2.7258 (2.7545)	Prec@1 36.719 (34.291)	Prec@5 65.625 (64.719)
Epoch: [23][11620/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.5627 (2.7543)	Prec@1 35.938 (34.295)	Prec@5 69.531 (64.722)
Epoch: [23][11630/14090]	Time 0.767 (0.765)	Data 0.001 (0.001)	Loss 2.8230 (2.7543)	Prec@1 33.594 (34.295)	Prec@5 61.719 (64.722)
Epoch: [23][11640/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.8022 (2.7543)	Prec@1 36.719 (34.295)	Prec@5 61.719 (64.722)
Epoch: [23][11650/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.6940 (2.7543)	Prec@1 32.031 (34.295)	Prec@5 64.062 (64.723)
Epoch: [23][11660/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.8439 (2.7542)	Prec@1 36.719 (34.297)	Prec@5 61.719 (64.723)
Epoch: [23][11670/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 3.0185 (2.7543)	Prec@1 32.031 (34.297)	Prec@5 61.719 (64.721)
Epoch: [23][11680/14090]	Time 0.923 (0.765)	Data 0.001 (0.001)	Loss 2.8152 (2.7543)	Prec@1 33.594 (34.296)	Prec@5 63.281 (64.720)
Epoch: [23][11690/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.6324 (2.7542)	Prec@1 34.375 (34.297)	Prec@5 66.406 (64.721)
Epoch: [23][11700/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.7981 (2.7543)	Prec@1 28.906 (34.296)	Prec@5 63.281 (64.720)
Epoch: [23][11710/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.5354 (2.7542)	Prec@1 39.062 (34.298)	Prec@5 65.625 (64.722)
Epoch: [23][11720/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.9332 (2.7542)	Prec@1 31.250 (34.297)	Prec@5 72.656 (64.722)
Epoch: [23][11730/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 3.0168 (2.7543)	Prec@1 34.375 (34.296)	Prec@5 64.062 (64.720)
Epoch: [23][11740/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 3.0939 (2.7543)	Prec@1 28.125 (34.297)	Prec@5 54.688 (64.719)
Epoch: [23][11750/14090]	Time 0.887 (0.765)	Data 0.001 (0.001)	Loss 2.7124 (2.7542)	Prec@1 35.156 (34.299)	Prec@5 63.281 (64.721)
Epoch: [23][11760/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.6801 (2.7542)	Prec@1 35.156 (34.299)	Prec@5 67.188 (64.722)
Epoch: [23][11770/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.6771 (2.7541)	Prec@1 40.625 (34.300)	Prec@5 64.062 (64.722)
Epoch: [23][11780/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.5623 (2.7541)	Prec@1 35.156 (34.301)	Prec@5 66.406 (64.723)
Epoch: [23][11790/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.9532 (2.7540)	Prec@1 33.594 (34.300)	Prec@5 61.719 (64.725)
Epoch: [23][11800/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 2.7843 (2.7541)	Prec@1 31.250 (34.299)	Prec@5 66.406 (64.724)
Epoch: [23][11810/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.6961 (2.7541)	Prec@1 32.031 (34.300)	Prec@5 69.531 (64.725)
Epoch: [23][11820/14090]	Time 0.857 (0.765)	Data 0.001 (0.001)	Loss 2.6555 (2.7540)	Prec@1 43.750 (34.300)	Prec@5 64.844 (64.726)
Epoch: [23][11830/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.4940 (2.7540)	Prec@1 39.062 (34.301)	Prec@5 69.531 (64.726)
Epoch: [23][11840/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.6602 (2.7540)	Prec@1 36.719 (34.302)	Prec@5 67.188 (64.726)
Epoch: [23][11850/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.9393 (2.7540)	Prec@1 28.906 (34.301)	Prec@5 60.938 (64.726)
Epoch: [23][11860/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.5590 (2.7541)	Prec@1 43.750 (34.301)	Prec@5 69.531 (64.725)
Epoch: [23][11870/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.8296 (2.7541)	Prec@1 28.125 (34.299)	Prec@5 62.500 (64.724)
Epoch: [23][11880/14090]	Time 0.791 (0.765)	Data 0.001 (0.001)	Loss 2.4716 (2.7541)	Prec@1 38.281 (34.300)	Prec@5 71.875 (64.726)
Epoch: [23][11890/14090]	Time 0.899 (0.765)	Data 0.001 (0.001)	Loss 2.7880 (2.7541)	Prec@1 37.500 (34.302)	Prec@5 64.062 (64.727)
Epoch: [23][11900/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.7722 (2.7541)	Prec@1 33.594 (34.301)	Prec@5 60.938 (64.726)
Epoch: [23][11910/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.5096 (2.7541)	Prec@1 37.500 (34.303)	Prec@5 69.531 (64.727)
Epoch: [23][11920/14090]	Time 0.789 (0.765)	Data 0.001 (0.001)	Loss 2.6211 (2.7540)	Prec@1 40.625 (34.304)	Prec@5 64.844 (64.727)
Epoch: [23][11930/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.4993 (2.7541)	Prec@1 39.062 (34.304)	Prec@5 67.969 (64.726)
Epoch: [23][11940/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.8350 (2.7542)	Prec@1 31.250 (34.301)	Prec@5 62.500 (64.725)
Epoch: [23][11950/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.6016 (2.7541)	Prec@1 31.250 (34.302)	Prec@5 67.969 (64.725)
Epoch: [23][11960/14090]	Time 0.905 (0.765)	Data 0.001 (0.001)	Loss 2.7399 (2.7541)	Prec@1 32.812 (34.302)	Prec@5 67.188 (64.725)
Epoch: [23][11970/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.7849 (2.7542)	Prec@1 30.469 (34.302)	Prec@5 67.969 (64.725)
Epoch: [23][11980/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.6565 (2.7542)	Prec@1 34.375 (34.301)	Prec@5 65.625 (64.723)
Epoch: [23][11990/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.8666 (2.7542)	Prec@1 32.031 (34.302)	Prec@5 61.719 (64.724)
Epoch: [23][12000/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.7968 (2.7542)	Prec@1 32.812 (34.302)	Prec@5 61.719 (64.724)
Epoch: [23][12010/14090]	Time 0.746 (0.765)	Data 0.002 (0.001)	Loss 2.7896 (2.7543)	Prec@1 32.031 (34.299)	Prec@5 59.375 (64.721)
Epoch: [23][12020/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.6996 (2.7543)	Prec@1 36.719 (34.300)	Prec@5 64.844 (64.720)
Epoch: [23][12030/14090]	Time 0.826 (0.765)	Data 0.001 (0.001)	Loss 2.9919 (2.7544)	Prec@1 30.469 (34.298)	Prec@5 61.719 (64.720)
Epoch: [23][12040/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.6055 (2.7544)	Prec@1 35.938 (34.298)	Prec@5 67.969 (64.720)
Epoch: [23][12050/14090]	Time 0.767 (0.765)	Data 0.001 (0.001)	Loss 2.6839 (2.7543)	Prec@1 35.938 (34.298)	Prec@5 66.406 (64.720)
Epoch: [23][12060/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.9607 (2.7544)	Prec@1 28.125 (34.298)	Prec@5 63.281 (64.721)
Epoch: [23][12070/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.9530 (2.7544)	Prec@1 32.031 (34.297)	Prec@5 58.594 (64.719)
Epoch: [23][12080/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.8207 (2.7544)	Prec@1 35.938 (34.297)	Prec@5 62.500 (64.720)
Epoch: [23][12090/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.5449 (2.7543)	Prec@1 32.031 (34.298)	Prec@5 67.969 (64.721)
Epoch: [23][12100/14090]	Time 0.845 (0.765)	Data 0.001 (0.001)	Loss 2.7157 (2.7543)	Prec@1 35.938 (34.298)	Prec@5 67.969 (64.722)
Epoch: [23][12110/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.5535 (2.7544)	Prec@1 40.625 (34.298)	Prec@5 64.844 (64.721)
Epoch: [23][12120/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.9054 (2.7544)	Prec@1 28.125 (34.297)	Prec@5 64.062 (64.721)
Epoch: [23][12130/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.9278 (2.7544)	Prec@1 34.375 (34.297)	Prec@5 61.719 (64.722)
Epoch: [23][12140/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.7945 (2.7544)	Prec@1 35.938 (34.298)	Prec@5 60.156 (64.721)
Epoch: [23][12150/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.5115 (2.7543)	Prec@1 35.938 (34.298)	Prec@5 74.219 (64.723)
Epoch: [23][12160/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.7429 (2.7543)	Prec@1 35.938 (34.299)	Prec@5 63.281 (64.725)
Epoch: [23][12170/14090]	Time 0.850 (0.765)	Data 0.001 (0.001)	Loss 2.7433 (2.7543)	Prec@1 33.594 (34.298)	Prec@5 64.844 (64.725)
Epoch: [23][12180/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.8377 (2.7543)	Prec@1 33.594 (34.298)	Prec@5 63.281 (64.724)
Epoch: [23][12190/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.6562 (2.7542)	Prec@1 33.594 (34.299)	Prec@5 67.969 (64.725)
Epoch: [23][12200/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 2.7765 (2.7542)	Prec@1 33.594 (34.300)	Prec@5 65.625 (64.725)
Epoch: [23][12210/14090]	Time 0.722 (0.765)	Data 0.001 (0.001)	Loss 2.5067 (2.7542)	Prec@1 41.406 (34.300)	Prec@5 69.531 (64.726)
Epoch: [23][12220/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 2.8326 (2.7542)	Prec@1 32.812 (34.300)	Prec@5 67.188 (64.725)
Epoch: [23][12230/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.7960 (2.7543)	Prec@1 27.344 (34.299)	Prec@5 64.844 (64.724)
Epoch: [23][12240/14090]	Time 0.879 (0.765)	Data 0.001 (0.001)	Loss 2.7459 (2.7542)	Prec@1 30.469 (34.301)	Prec@5 64.844 (64.724)
Epoch: [23][12250/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 2.9956 (2.7543)	Prec@1 32.812 (34.299)	Prec@5 59.375 (64.722)
Epoch: [23][12260/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.5951 (2.7544)	Prec@1 32.031 (34.297)	Prec@5 71.875 (64.721)
Epoch: [23][12270/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.5774 (2.7544)	Prec@1 34.375 (34.295)	Prec@5 68.750 (64.719)
Epoch: [23][12280/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.6823 (2.7545)	Prec@1 33.594 (34.295)	Prec@5 64.844 (64.718)
Epoch: [23][12290/14090]	Time 0.768 (0.765)	Data 0.001 (0.001)	Loss 2.8829 (2.7545)	Prec@1 36.719 (34.294)	Prec@5 62.500 (64.718)
Epoch: [23][12300/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.5227 (2.7545)	Prec@1 36.719 (34.295)	Prec@5 71.094 (64.718)
Epoch: [23][12310/14090]	Time 0.869 (0.765)	Data 0.001 (0.001)	Loss 2.6960 (2.7545)	Prec@1 36.719 (34.295)	Prec@5 67.188 (64.719)
Epoch: [23][12320/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.6036 (2.7544)	Prec@1 38.281 (34.295)	Prec@5 68.750 (64.721)
Epoch: [23][12330/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.7788 (2.7544)	Prec@1 30.469 (34.296)	Prec@5 62.500 (64.719)
Epoch: [23][12340/14090]	Time 0.777 (0.765)	Data 0.001 (0.001)	Loss 2.8013 (2.7544)	Prec@1 38.281 (34.297)	Prec@5 67.188 (64.721)
Epoch: [23][12350/14090]	Time 0.779 (0.765)	Data 0.001 (0.001)	Loss 2.8821 (2.7544)	Prec@1 34.375 (34.297)	Prec@5 60.156 (64.720)
Epoch: [23][12360/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.6985 (2.7544)	Prec@1 33.594 (34.297)	Prec@5 67.969 (64.721)
Epoch: [23][12370/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.7106 (2.7544)	Prec@1 32.031 (34.296)	Prec@5 64.844 (64.720)
Epoch: [23][12380/14090]	Time 0.862 (0.765)	Data 0.001 (0.001)	Loss 2.7993 (2.7544)	Prec@1 36.719 (34.296)	Prec@5 62.500 (64.722)
Epoch: [23][12390/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 3.0164 (2.7544)	Prec@1 28.125 (34.295)	Prec@5 64.062 (64.720)
Epoch: [23][12400/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 3.1027 (2.7545)	Prec@1 29.688 (34.294)	Prec@5 60.156 (64.720)
Epoch: [23][12410/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.8930 (2.7545)	Prec@1 32.812 (34.293)	Prec@5 64.844 (64.720)
Epoch: [23][12420/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.7084 (2.7546)	Prec@1 28.906 (34.291)	Prec@5 62.500 (64.719)
Epoch: [23][12430/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.9805 (2.7546)	Prec@1 28.906 (34.291)	Prec@5 61.719 (64.719)
Epoch: [23][12440/14090]	Time 0.776 (0.765)	Data 0.001 (0.001)	Loss 2.6953 (2.7545)	Prec@1 37.500 (34.292)	Prec@5 65.625 (64.719)
Epoch: [23][12450/14090]	Time 0.881 (0.765)	Data 0.001 (0.001)	Loss 2.9400 (2.7545)	Prec@1 28.906 (34.292)	Prec@5 64.844 (64.719)
Epoch: [23][12460/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.8102 (2.7545)	Prec@1 33.594 (34.292)	Prec@5 64.062 (64.719)
Epoch: [23][12470/14090]	Time 0.721 (0.765)	Data 0.001 (0.001)	Loss 2.8759 (2.7546)	Prec@1 29.688 (34.292)	Prec@5 59.375 (64.719)
Epoch: [23][12480/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 3.0976 (2.7546)	Prec@1 27.344 (34.291)	Prec@5 54.688 (64.719)
Epoch: [23][12490/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.9590 (2.7547)	Prec@1 34.375 (34.289)	Prec@5 60.156 (64.717)
Epoch: [23][12500/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.8828 (2.7547)	Prec@1 33.594 (34.288)	Prec@5 60.938 (64.716)
Epoch: [23][12510/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 2.4792 (2.7547)	Prec@1 37.500 (34.287)	Prec@5 69.531 (64.716)
Epoch: [23][12520/14090]	Time 0.870 (0.765)	Data 0.001 (0.001)	Loss 2.7659 (2.7547)	Prec@1 33.594 (34.286)	Prec@5 61.719 (64.715)
Epoch: [23][12530/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.6194 (2.7547)	Prec@1 32.031 (34.285)	Prec@5 67.188 (64.715)
Epoch: [23][12540/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.6593 (2.7548)	Prec@1 35.938 (34.285)	Prec@5 66.406 (64.715)
Epoch: [23][12550/14090]	Time 0.775 (0.765)	Data 0.001 (0.001)	Loss 2.4693 (2.7547)	Prec@1 39.062 (34.285)	Prec@5 72.656 (64.716)
Epoch: [23][12560/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.8520 (2.7548)	Prec@1 28.125 (34.286)	Prec@5 63.281 (64.716)
Epoch: [23][12570/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.8419 (2.7548)	Prec@1 27.344 (34.285)	Prec@5 62.500 (64.717)
Epoch: [23][12580/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.7067 (2.7549)	Prec@1 33.594 (34.285)	Prec@5 62.500 (64.715)
Epoch: [23][12590/14090]	Time 0.870 (0.765)	Data 0.001 (0.001)	Loss 2.6485 (2.7549)	Prec@1 35.938 (34.284)	Prec@5 64.844 (64.715)
Epoch: [23][12600/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.6741 (2.7548)	Prec@1 35.156 (34.283)	Prec@5 69.531 (64.716)
Epoch: [23][12610/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 2.9064 (2.7547)	Prec@1 32.031 (34.285)	Prec@5 66.406 (64.717)
Epoch: [23][12620/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.6622 (2.7548)	Prec@1 33.594 (34.283)	Prec@5 68.750 (64.715)
Epoch: [23][12630/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.3601 (2.7548)	Prec@1 39.062 (34.282)	Prec@5 74.219 (64.715)
Epoch: [23][12640/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.6963 (2.7547)	Prec@1 32.812 (34.282)	Prec@5 60.156 (64.716)
Epoch: [23][12650/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.5445 (2.7547)	Prec@1 36.719 (34.282)	Prec@5 70.312 (64.715)
Epoch: [23][12660/14090]	Time 0.896 (0.765)	Data 0.001 (0.001)	Loss 3.0580 (2.7547)	Prec@1 34.375 (34.282)	Prec@5 61.719 (64.713)
Epoch: [23][12670/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.5847 (2.7547)	Prec@1 35.938 (34.283)	Prec@5 70.312 (64.712)
Epoch: [23][12680/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.7005 (2.7548)	Prec@1 33.594 (34.282)	Prec@5 64.062 (64.710)
Epoch: [23][12690/14090]	Time 0.772 (0.765)	Data 0.001 (0.001)	Loss 2.5290 (2.7549)	Prec@1 42.188 (34.282)	Prec@5 67.188 (64.708)
Epoch: [23][12700/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.5325 (2.7549)	Prec@1 37.500 (34.283)	Prec@5 66.406 (64.708)
Epoch: [23][12710/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.9557 (2.7548)	Prec@1 29.688 (34.284)	Prec@5 59.375 (64.709)
Epoch: [23][12720/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.9056 (2.7548)	Prec@1 34.375 (34.285)	Prec@5 60.156 (64.710)
Epoch: [23][12730/14090]	Time 0.887 (0.765)	Data 0.001 (0.001)	Loss 2.7730 (2.7548)	Prec@1 34.375 (34.286)	Prec@5 67.188 (64.711)
Epoch: [23][12740/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.5300 (2.7548)	Prec@1 41.406 (34.288)	Prec@5 67.969 (64.711)
Epoch: [23][12750/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.8575 (2.7547)	Prec@1 27.344 (34.289)	Prec@5 64.844 (64.712)
Epoch: [23][12760/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.6574 (2.7547)	Prec@1 35.156 (34.288)	Prec@5 68.750 (64.713)
Epoch: [23][12770/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.5794 (2.7546)	Prec@1 37.500 (34.289)	Prec@5 69.531 (64.713)
Epoch: [23][12780/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.3742 (2.7546)	Prec@1 42.969 (34.289)	Prec@5 70.312 (64.712)
Epoch: [23][12790/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.7646 (2.7547)	Prec@1 34.375 (34.289)	Prec@5 61.719 (64.713)
Epoch: [23][12800/14090]	Time 0.855 (0.765)	Data 0.001 (0.001)	Loss 2.8920 (2.7547)	Prec@1 35.938 (34.289)	Prec@5 60.938 (64.712)
Epoch: [23][12810/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.8204 (2.7547)	Prec@1 33.594 (34.290)	Prec@5 63.281 (64.712)
Epoch: [23][12820/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.7833 (2.7547)	Prec@1 32.031 (34.290)	Prec@5 59.375 (64.712)
Epoch: [23][12830/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.5805 (2.7547)	Prec@1 28.125 (34.289)	Prec@5 67.969 (64.710)
Epoch: [23][12840/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.8836 (2.7547)	Prec@1 29.688 (34.289)	Prec@5 64.062 (64.711)
Epoch: [23][12850/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.9595 (2.7547)	Prec@1 30.469 (34.289)	Prec@5 55.469 (64.711)
Epoch: [23][12860/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.6617 (2.7547)	Prec@1 34.375 (34.289)	Prec@5 67.188 (64.711)
Epoch: [23][12870/14090]	Time 0.842 (0.765)	Data 0.001 (0.001)	Loss 2.9778 (2.7547)	Prec@1 32.031 (34.289)	Prec@5 59.375 (64.709)
Epoch: [23][12880/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.5731 (2.7547)	Prec@1 39.844 (34.288)	Prec@5 68.750 (64.709)
Epoch: [23][12890/14090]	Time 0.771 (0.765)	Data 0.001 (0.001)	Loss 2.8462 (2.7547)	Prec@1 33.594 (34.289)	Prec@5 64.062 (64.709)
Epoch: [23][12900/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.7679 (2.7547)	Prec@1 34.375 (34.290)	Prec@5 63.281 (64.709)
Epoch: [23][12910/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.9441 (2.7548)	Prec@1 31.250 (34.292)	Prec@5 64.062 (64.708)
Epoch: [23][12920/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.7583 (2.7548)	Prec@1 34.375 (34.291)	Prec@5 60.156 (64.708)
Epoch: [23][12930/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.9381 (2.7548)	Prec@1 28.906 (34.292)	Prec@5 58.594 (64.709)
Epoch: [23][12940/14090]	Time 0.880 (0.765)	Data 0.001 (0.001)	Loss 2.5020 (2.7548)	Prec@1 39.844 (34.293)	Prec@5 70.312 (64.709)
Epoch: [23][12950/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.6145 (2.7548)	Prec@1 34.375 (34.294)	Prec@5 70.312 (64.709)
Epoch: [23][12960/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 3.0094 (2.7548)	Prec@1 32.031 (34.293)	Prec@5 60.938 (64.708)
Epoch: [23][12970/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.7083 (2.7549)	Prec@1 36.719 (34.291)	Prec@5 62.500 (64.706)
Epoch: [23][12980/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.6454 (2.7549)	Prec@1 37.500 (34.291)	Prec@5 63.281 (64.707)
Epoch: [23][12990/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.8158 (2.7548)	Prec@1 38.281 (34.293)	Prec@5 64.844 (64.709)
Epoch: [23][13000/14090]	Time 0.741 (0.765)	Data 0.002 (0.001)	Loss 2.5768 (2.7548)	Prec@1 38.281 (34.292)	Prec@5 65.625 (64.709)
Epoch: [23][13010/14090]	Time 0.880 (0.765)	Data 0.001 (0.001)	Loss 2.7208 (2.7548)	Prec@1 32.812 (34.292)	Prec@5 66.406 (64.708)
Epoch: [23][13020/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.5390 (2.7548)	Prec@1 35.938 (34.291)	Prec@5 74.219 (64.709)
Epoch: [23][13030/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.5987 (2.7547)	Prec@1 34.375 (34.292)	Prec@5 68.750 (64.709)
Epoch: [23][13040/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.7935 (2.7547)	Prec@1 29.688 (34.293)	Prec@5 61.719 (64.709)
Epoch: [23][13050/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.2756 (2.7546)	Prec@1 48.438 (34.294)	Prec@5 74.219 (64.710)
Epoch: [23][13060/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.5515 (2.7545)	Prec@1 36.719 (34.296)	Prec@5 70.312 (64.712)
Epoch: [23][13070/14090]	Time 0.767 (0.765)	Data 0.001 (0.001)	Loss 2.7085 (2.7545)	Prec@1 36.719 (34.296)	Prec@5 64.844 (64.712)
Epoch: [23][13080/14090]	Time 0.945 (0.765)	Data 0.001 (0.001)	Loss 2.4765 (2.7545)	Prec@1 37.500 (34.296)	Prec@5 71.094 (64.713)
Epoch: [23][13090/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.6278 (2.7545)	Prec@1 42.188 (34.297)	Prec@5 66.406 (64.713)
Epoch: [23][13100/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.8026 (2.7545)	Prec@1 34.375 (34.295)	Prec@5 60.938 (64.711)
Epoch: [23][13110/14090]	Time 0.784 (0.765)	Data 0.001 (0.001)	Loss 2.4538 (2.7544)	Prec@1 40.625 (34.297)	Prec@5 69.531 (64.711)
Epoch: [23][13120/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.6328 (2.7544)	Prec@1 30.469 (34.297)	Prec@5 64.844 (64.711)
Epoch: [23][13130/14090]	Time 0.773 (0.765)	Data 0.001 (0.001)	Loss 2.5887 (2.7545)	Prec@1 31.250 (34.296)	Prec@5 64.062 (64.710)
Epoch: [23][13140/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.6781 (2.7545)	Prec@1 35.938 (34.295)	Prec@5 64.062 (64.711)
Epoch: [23][13150/14090]	Time 0.843 (0.765)	Data 0.001 (0.001)	Loss 2.8467 (2.7545)	Prec@1 33.594 (34.296)	Prec@5 61.719 (64.710)
Epoch: [23][13160/14090]	Time 0.779 (0.765)	Data 0.001 (0.001)	Loss 2.9779 (2.7545)	Prec@1 27.344 (34.295)	Prec@5 58.594 (64.709)
Epoch: [23][13170/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.7838 (2.7544)	Prec@1 32.812 (34.296)	Prec@5 63.281 (64.711)
Epoch: [23][13180/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.8514 (2.7544)	Prec@1 35.156 (34.295)	Prec@5 62.500 (64.709)
Epoch: [23][13190/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.9291 (2.7545)	Prec@1 32.031 (34.294)	Prec@5 64.062 (64.709)
Epoch: [23][13200/14090]	Time 0.721 (0.765)	Data 0.001 (0.001)	Loss 2.9377 (2.7545)	Prec@1 27.344 (34.294)	Prec@5 56.250 (64.708)
Epoch: [23][13210/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.7410 (2.7545)	Prec@1 31.250 (34.294)	Prec@5 64.844 (64.707)
Epoch: [23][13220/14090]	Time 0.876 (0.765)	Data 0.001 (0.001)	Loss 2.5304 (2.7545)	Prec@1 36.719 (34.295)	Prec@5 71.094 (64.707)
Epoch: [23][13230/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 3.1076 (2.7545)	Prec@1 28.125 (34.295)	Prec@5 58.594 (64.707)
Epoch: [23][13240/14090]	Time 0.721 (0.765)	Data 0.001 (0.001)	Loss 2.5184 (2.7545)	Prec@1 37.500 (34.295)	Prec@5 67.969 (64.707)
Epoch: [23][13250/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.8290 (2.7545)	Prec@1 27.344 (34.295)	Prec@5 58.594 (64.706)
Epoch: [23][13260/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.7369 (2.7545)	Prec@1 35.156 (34.294)	Prec@5 63.281 (64.707)
Epoch: [23][13270/14090]	Time 0.767 (0.765)	Data 0.001 (0.001)	Loss 2.9048 (2.7545)	Prec@1 25.781 (34.295)	Prec@5 65.625 (64.709)
Epoch: [23][13280/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.8134 (2.7545)	Prec@1 39.062 (34.296)	Prec@5 60.156 (64.708)
Epoch: [23][13290/14090]	Time 0.913 (0.765)	Data 0.001 (0.001)	Loss 2.5444 (2.7545)	Prec@1 37.500 (34.297)	Prec@5 67.188 (64.708)
Epoch: [23][13300/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.5246 (2.7546)	Prec@1 39.844 (34.297)	Prec@5 69.531 (64.707)
Epoch: [23][13310/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.7889 (2.7546)	Prec@1 30.469 (34.295)	Prec@5 54.688 (64.706)
Epoch: [23][13320/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.7714 (2.7546)	Prec@1 30.469 (34.295)	Prec@5 60.156 (64.705)
Epoch: [23][13330/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.7946 (2.7546)	Prec@1 32.812 (34.296)	Prec@5 61.719 (64.705)
Epoch: [23][13340/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.5457 (2.7546)	Prec@1 39.844 (34.296)	Prec@5 72.656 (64.706)
Epoch: [23][13350/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.5730 (2.7546)	Prec@1 32.812 (34.298)	Prec@5 64.844 (64.707)
Epoch: [23][13360/14090]	Time 0.898 (0.765)	Data 0.001 (0.001)	Loss 2.8231 (2.7546)	Prec@1 29.688 (34.296)	Prec@5 65.625 (64.705)
Epoch: [23][13370/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.7852 (2.7547)	Prec@1 38.281 (34.294)	Prec@5 61.719 (64.703)
Epoch: [23][13380/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.6000 (2.7547)	Prec@1 37.500 (34.293)	Prec@5 66.406 (64.702)
Epoch: [23][13390/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.7794 (2.7548)	Prec@1 30.469 (34.292)	Prec@5 64.062 (64.701)
Epoch: [23][13400/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.7031 (2.7547)	Prec@1 36.719 (34.294)	Prec@5 68.750 (64.702)
Epoch: [23][13410/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 3.0507 (2.7547)	Prec@1 25.000 (34.293)	Prec@5 64.844 (64.702)
Epoch: [23][13420/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.6407 (2.7546)	Prec@1 32.031 (34.294)	Prec@5 65.625 (64.704)
Epoch: [23][13430/14090]	Time 0.835 (0.765)	Data 0.001 (0.001)	Loss 2.6907 (2.7547)	Prec@1 34.375 (34.293)	Prec@5 64.062 (64.703)
Epoch: [23][13440/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.6434 (2.7546)	Prec@1 35.938 (34.294)	Prec@5 67.188 (64.703)
Epoch: [23][13450/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.7173 (2.7547)	Prec@1 35.156 (34.293)	Prec@5 63.281 (64.702)
Epoch: [23][13460/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.9546 (2.7547)	Prec@1 28.125 (34.293)	Prec@5 53.125 (64.700)
Epoch: [23][13470/14090]	Time 0.777 (0.765)	Data 0.001 (0.001)	Loss 2.4874 (2.7547)	Prec@1 35.156 (34.292)	Prec@5 68.750 (64.699)
Epoch: [23][13480/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.6158 (2.7547)	Prec@1 35.938 (34.294)	Prec@5 67.188 (64.701)
Epoch: [23][13490/14090]	Time 0.782 (0.765)	Data 0.001 (0.001)	Loss 3.1150 (2.7547)	Prec@1 26.562 (34.294)	Prec@5 53.906 (64.700)
Epoch: [23][13500/14090]	Time 0.864 (0.765)	Data 0.001 (0.001)	Loss 2.5014 (2.7547)	Prec@1 36.719 (34.294)	Prec@5 66.406 (64.701)
Epoch: [23][13510/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.8495 (2.7547)	Prec@1 34.375 (34.293)	Prec@5 64.844 (64.701)
Epoch: [23][13520/14090]	Time 0.771 (0.765)	Data 0.001 (0.001)	Loss 2.3517 (2.7546)	Prec@1 40.625 (34.294)	Prec@5 71.875 (64.701)
Epoch: [23][13530/14090]	Time 0.786 (0.765)	Data 0.001 (0.001)	Loss 2.9684 (2.7546)	Prec@1 32.031 (34.294)	Prec@5 61.719 (64.702)
Epoch: [23][13540/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.4800 (2.7546)	Prec@1 38.281 (34.294)	Prec@5 73.438 (64.703)
Epoch: [23][13550/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.7309 (2.7546)	Prec@1 36.719 (34.293)	Prec@5 67.188 (64.702)
Epoch: [23][13560/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.4070 (2.7546)	Prec@1 44.531 (34.294)	Prec@5 73.438 (64.702)
Epoch: [23][13570/14090]	Time 0.851 (0.765)	Data 0.001 (0.001)	Loss 2.6346 (2.7546)	Prec@1 32.812 (34.295)	Prec@5 66.406 (64.703)
Epoch: [23][13580/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.4920 (2.7546)	Prec@1 43.750 (34.296)	Prec@5 72.656 (64.703)
Epoch: [23][13590/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 2.8542 (2.7546)	Prec@1 35.938 (34.296)	Prec@5 60.156 (64.703)
Epoch: [23][13600/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.8153 (2.7546)	Prec@1 28.125 (34.294)	Prec@5 63.281 (64.703)
Epoch: [23][13610/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.7490 (2.7546)	Prec@1 34.375 (34.295)	Prec@5 67.969 (64.703)
Epoch: [23][13620/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.6848 (2.7546)	Prec@1 33.594 (34.297)	Prec@5 67.188 (64.703)
Epoch: [23][13630/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.4569 (2.7546)	Prec@1 39.844 (34.297)	Prec@5 69.531 (64.703)
Epoch: [23][13640/14090]	Time 0.887 (0.765)	Data 0.001 (0.001)	Loss 2.9143 (2.7546)	Prec@1 32.031 (34.299)	Prec@5 62.500 (64.703)
Epoch: [23][13650/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.6243 (2.7546)	Prec@1 39.844 (34.300)	Prec@5 67.969 (64.702)
Epoch: [23][13660/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.8499 (2.7545)	Prec@1 25.781 (34.299)	Prec@5 63.281 (64.703)
Epoch: [23][13670/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 2.8007 (2.7545)	Prec@1 28.125 (34.297)	Prec@5 60.156 (64.703)
Epoch: [23][13680/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.6122 (2.7546)	Prec@1 38.281 (34.297)	Prec@5 68.750 (64.702)
Epoch: [23][13690/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.6551 (2.7546)	Prec@1 34.375 (34.295)	Prec@5 67.188 (64.701)
Epoch: [23][13700/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.5527 (2.7547)	Prec@1 41.406 (34.295)	Prec@5 72.656 (64.700)
Epoch: [23][13710/14090]	Time 0.873 (0.765)	Data 0.001 (0.001)	Loss 2.7560 (2.7547)	Prec@1 35.156 (34.296)	Prec@5 65.625 (64.700)
Epoch: [23][13720/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.6364 (2.7546)	Prec@1 40.625 (34.297)	Prec@5 66.406 (64.701)
Epoch: [23][13730/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.7187 (2.7545)	Prec@1 37.500 (34.299)	Prec@5 64.062 (64.703)
Epoch: [23][13740/14090]	Time 0.775 (0.765)	Data 0.001 (0.001)	Loss 2.5928 (2.7545)	Prec@1 34.375 (34.300)	Prec@5 64.844 (64.702)
Epoch: [23][13750/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.6006 (2.7545)	Prec@1 35.156 (34.300)	Prec@5 68.750 (64.703)
Epoch: [23][13760/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.8036 (2.7544)	Prec@1 34.375 (34.301)	Prec@5 64.062 (64.704)
Epoch: [23][13770/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 3.0934 (2.7545)	Prec@1 25.781 (34.300)	Prec@5 60.156 (64.703)
Epoch: [23][13780/14090]	Time 0.891 (0.765)	Data 0.001 (0.001)	Loss 2.9099 (2.7544)	Prec@1 28.906 (34.300)	Prec@5 60.156 (64.703)
Epoch: [23][13790/14090]	Time 0.720 (0.765)	Data 0.001 (0.001)	Loss 2.8372 (2.7544)	Prec@1 38.281 (34.301)	Prec@5 64.062 (64.703)
Epoch: [23][13800/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.5953 (2.7543)	Prec@1 37.500 (34.302)	Prec@5 70.312 (64.705)
Epoch: [23][13810/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.6023 (2.7544)	Prec@1 39.062 (34.302)	Prec@5 71.875 (64.705)
Epoch: [23][13820/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.7606 (2.7544)	Prec@1 34.375 (34.302)	Prec@5 64.062 (64.703)
Epoch: [23][13830/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 3.0196 (2.7544)	Prec@1 33.594 (34.303)	Prec@5 57.812 (64.705)
Epoch: [23][13840/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 3.1609 (2.7544)	Prec@1 27.344 (34.303)	Prec@5 57.031 (64.704)
Epoch: [23][13850/14090]	Time 0.872 (0.765)	Data 0.001 (0.001)	Loss 3.0040 (2.7545)	Prec@1 31.250 (34.302)	Prec@5 57.031 (64.703)
Epoch: [23][13860/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.7170 (2.7545)	Prec@1 30.469 (34.302)	Prec@5 66.406 (64.701)
Epoch: [23][13870/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.5364 (2.7545)	Prec@1 35.938 (34.302)	Prec@5 71.875 (64.701)
Epoch: [23][13880/14090]	Time 0.727 (0.765)	Data 0.002 (0.001)	Loss 2.6482 (2.7545)	Prec@1 36.719 (34.301)	Prec@5 68.750 (64.702)
Epoch: [23][13890/14090]	Time 0.718 (0.765)	Data 0.001 (0.001)	Loss 2.5548 (2.7545)	Prec@1 39.062 (34.301)	Prec@5 67.969 (64.702)
Epoch: [23][13900/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.6629 (2.7544)	Prec@1 31.250 (34.302)	Prec@5 67.188 (64.704)
Epoch: [23][13910/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 3.0246 (2.7545)	Prec@1 26.562 (34.301)	Prec@5 54.688 (64.702)
Epoch: [23][13920/14090]	Time 0.940 (0.765)	Data 0.001 (0.001)	Loss 3.1138 (2.7545)	Prec@1 26.562 (34.301)	Prec@5 60.938 (64.702)
Epoch: [23][13930/14090]	Time 0.781 (0.765)	Data 0.001 (0.001)	Loss 2.5871 (2.7545)	Prec@1 35.156 (34.301)	Prec@5 72.656 (64.703)
Epoch: [23][13940/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 2.6553 (2.7545)	Prec@1 37.500 (34.301)	Prec@5 63.281 (64.703)
Epoch: [23][13950/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.5092 (2.7545)	Prec@1 42.188 (34.302)	Prec@5 73.438 (64.703)
Epoch: [23][13960/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.7904 (2.7544)	Prec@1 27.344 (34.302)	Prec@5 67.188 (64.703)
Epoch: [23][13970/14090]	Time 0.738 (0.765)	Data 0.000 (0.001)	Loss 2.7818 (2.7544)	Prec@1 32.812 (34.302)	Prec@5 64.844 (64.703)
Epoch: [23][13980/14090]	Time 0.780 (0.765)	Data 0.001 (0.001)	Loss 2.7939 (2.7544)	Prec@1 34.375 (34.302)	Prec@5 65.625 (64.703)
Epoch: [23][13990/14090]	Time 0.885 (0.765)	Data 0.001 (0.001)	Loss 2.4657 (2.7544)	Prec@1 41.406 (34.304)	Prec@5 69.531 (64.703)
Epoch: [23][14000/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.6194 (2.7544)	Prec@1 38.281 (34.305)	Prec@5 61.719 (64.702)
Epoch: [23][14010/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.6599 (2.7544)	Prec@1 35.156 (34.305)	Prec@5 66.406 (64.702)
Epoch: [23][14020/14090]	Time 0.748 (0.765)	Data 0.004 (0.001)	Loss 2.7484 (2.7545)	Prec@1 33.594 (34.304)	Prec@5 63.281 (64.701)
Epoch: [23][14030/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.7758 (2.7545)	Prec@1 37.500 (34.305)	Prec@5 63.281 (64.701)
Epoch: [23][14040/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.7448 (2.7544)	Prec@1 35.156 (34.305)	Prec@5 63.281 (64.701)
Epoch: [23][14050/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.4894 (2.7544)	Prec@1 43.750 (34.307)	Prec@5 70.312 (64.702)
Epoch: [23][14060/14090]	Time 0.838 (0.765)	Data 0.001 (0.001)	Loss 2.9298 (2.7544)	Prec@1 28.906 (34.307)	Prec@5 60.156 (64.702)
Epoch: [23][14070/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.8118 (2.7544)	Prec@1 35.156 (34.307)	Prec@5 67.188 (64.702)
Epoch: [23][14080/14090]	Time 0.733 (0.765)	Data 0.000 (0.001)	Loss 2.5719 (2.7544)	Prec@1 39.062 (34.307)	Prec@5 69.531 (64.703)
Test: [0/286]	Time 3.558 (3.558)	Loss 1.7434 (1.7434)	Prec@1 53.125 (53.125)	Prec@5 88.281 (88.281)
Test: [10/286]	Time 0.382 (0.609)	Loss 2.6140 (2.7502)	Prec@1 35.938 (34.659)	Prec@5 73.438 (68.537)
Test: [20/286]	Time 0.243 (0.459)	Loss 1.6422 (2.4688)	Prec@1 67.188 (40.030)	Prec@5 84.375 (72.693)
Test: [30/286]	Time 0.239 (0.407)	Loss 3.1239 (2.4583)	Prec@1 19.531 (40.549)	Prec@5 59.375 (72.253)
Test: [40/286]	Time 0.638 (0.391)	Loss 1.9450 (2.4404)	Prec@1 41.406 (40.530)	Prec@5 85.156 (72.142)
Test: [50/286]	Time 0.243 (0.376)	Loss 1.1458 (2.3871)	Prec@1 75.000 (41.743)	Prec@5 86.719 (72.947)
Test: [60/286]	Time 0.236 (0.363)	Loss 3.4594 (2.3951)	Prec@1 26.562 (41.509)	Prec@5 50.000 (72.451)
Test: [70/286]	Time 0.228 (0.353)	Loss 1.9679 (2.4019)	Prec@1 53.125 (41.043)	Prec@5 84.375 (72.546)
Test: [80/286]	Time 1.019 (0.358)	Loss 3.3387 (2.4524)	Prec@1 23.438 (39.670)	Prec@5 50.781 (71.499)
Test: [90/286]	Time 0.233 (0.352)	Loss 3.3183 (2.4724)	Prec@1 25.781 (39.200)	Prec@5 54.688 (71.128)
Test: [100/286]	Time 0.241 (0.347)	Loss 3.2169 (2.4772)	Prec@1 15.625 (38.830)	Prec@5 57.031 (71.434)
Test: [110/286]	Time 0.229 (0.343)	Loss 2.9166 (2.4878)	Prec@1 28.125 (38.373)	Prec@5 60.156 (71.509)
Test: [120/286]	Time 0.619 (0.343)	Loss 2.3339 (2.4651)	Prec@1 42.188 (38.953)	Prec@5 67.969 (71.856)
Test: [130/286]	Time 0.271 (0.341)	Loss 1.3153 (2.4596)	Prec@1 68.750 (39.062)	Prec@5 89.062 (72.024)
Test: [140/286]	Time 0.229 (0.337)	Loss 3.2674 (2.4580)	Prec@1 26.562 (39.245)	Prec@5 61.719 (72.074)
Test: [150/286]	Time 0.295 (0.335)	Loss 3.5161 (2.4761)	Prec@1 13.281 (38.711)	Prec@5 52.344 (71.911)
Test: [160/286]	Time 0.437 (0.334)	Loss 3.3392 (2.4746)	Prec@1 13.281 (38.660)	Prec@5 51.562 (71.870)
Test: [170/286]	Time 0.247 (0.332)	Loss 3.0043 (2.4588)	Prec@1 17.188 (38.893)	Prec@5 61.719 (72.131)
Test: [180/286]	Time 0.244 (0.330)	Loss 2.2352 (2.4658)	Prec@1 54.688 (38.760)	Prec@5 76.562 (72.065)
Test: [190/286]	Time 0.896 (0.333)	Loss 3.6982 (2.4728)	Prec@1 6.250 (38.604)	Prec@5 53.906 (71.969)
Test: [200/286]	Time 0.230 (0.330)	Loss 2.3884 (2.4660)	Prec@1 43.750 (38.891)	Prec@5 80.469 (72.023)
Test: [210/286]	Time 0.238 (0.329)	Loss 3.0452 (2.4801)	Prec@1 25.000 (38.663)	Prec@5 69.531 (71.742)
Test: [220/286]	Time 0.235 (0.329)	Loss 3.9006 (2.4883)	Prec@1 12.500 (38.677)	Prec@5 40.625 (71.433)
Test: [230/286]	Time 0.679 (0.329)	Loss 1.7133 (2.4936)	Prec@1 58.594 (38.579)	Prec@5 81.250 (71.280)
Test: [240/286]	Time 0.289 (0.329)	Loss 2.3987 (2.5043)	Prec@1 41.406 (38.466)	Prec@5 74.219 (71.126)
Test: [250/286]	Time 0.224 (0.327)	Loss 2.0899 (2.4984)	Prec@1 46.875 (38.474)	Prec@5 76.562 (71.318)
Test: [260/286]	Time 0.233 (0.327)	Loss 2.0411 (2.4841)	Prec@1 46.094 (38.667)	Prec@5 81.250 (71.588)
Test: [270/286]	Time 0.494 (0.327)	Loss 1.4504 (2.4835)	Prec@1 61.719 (38.613)	Prec@5 85.156 (71.667)
Test: [280/286]	Time 0.349 (0.327)	Loss 2.7831 (2.4662)	Prec@1 26.562 (39.062)	Prec@5 74.219 (71.945)
 * Prec@1 39.302 Prec@5 72.046
Epoch: [24][0/14090]	Time 4.855 (4.855)	Data 4.100 (4.100)	Loss 2.5922 (2.5922)	Prec@1 36.719 (36.719)	Prec@5 71.094 (71.094)
Epoch: [24][10/14090]	Time 0.729 (1.125)	Data 0.001 (0.373)	Loss 2.5484 (2.6584)	Prec@1 39.844 (35.866)	Prec@5 67.188 (66.406)
Epoch: [24][20/14090]	Time 0.723 (0.941)	Data 0.001 (0.196)	Loss 2.8187 (2.6966)	Prec@1 33.594 (34.561)	Prec@5 64.062 (65.625)
Epoch: [24][30/14090]	Time 0.891 (0.884)	Data 0.001 (0.133)	Loss 3.2263 (2.7226)	Prec@1 21.875 (34.703)	Prec@5 55.469 (65.121)
Epoch: [24][40/14090]	Time 0.735 (0.851)	Data 0.001 (0.101)	Loss 2.3873 (2.7301)	Prec@1 43.750 (34.604)	Prec@5 72.656 (65.015)
Epoch: [24][50/14090]	Time 0.765 (0.833)	Data 0.001 (0.081)	Loss 2.7503 (2.7500)	Prec@1 34.375 (34.421)	Prec@5 68.750 (64.675)
Epoch: [24][60/14090]	Time 0.728 (0.822)	Data 0.001 (0.068)	Loss 2.6842 (2.7550)	Prec@1 35.156 (34.413)	Prec@5 69.531 (64.805)
Epoch: [24][70/14090]	Time 0.746 (0.814)	Data 0.001 (0.059)	Loss 2.5476 (2.7500)	Prec@1 36.719 (34.364)	Prec@5 71.875 (64.888)
Epoch: [24][80/14090]	Time 0.756 (0.808)	Data 0.001 (0.051)	Loss 2.7325 (2.7526)	Prec@1 34.375 (34.144)	Prec@5 69.531 (64.805)
Epoch: [24][90/14090]	Time 0.735 (0.803)	Data 0.001 (0.046)	Loss 2.8234 (2.7621)	Prec@1 33.594 (33.826)	Prec@5 59.375 (64.560)
Epoch: [24][100/14090]	Time 0.892 (0.801)	Data 0.001 (0.041)	Loss 2.7414 (2.7666)	Prec@1 31.250 (33.725)	Prec@5 64.062 (64.426)
Epoch: [24][110/14090]	Time 0.725 (0.797)	Data 0.001 (0.038)	Loss 2.3581 (2.7534)	Prec@1 46.094 (34.058)	Prec@5 73.438 (64.562)
Epoch: [24][120/14090]	Time 0.744 (0.794)	Data 0.001 (0.035)	Loss 2.5872 (2.7478)	Prec@1 32.812 (34.104)	Prec@5 65.625 (64.831)
Epoch: [24][130/14090]	Time 0.733 (0.793)	Data 0.001 (0.032)	Loss 2.8092 (2.7387)	Prec@1 32.812 (34.417)	Prec@5 61.719 (64.903)
Epoch: [24][140/14090]	Time 0.726 (0.790)	Data 0.001 (0.030)	Loss 2.5306 (2.7348)	Prec@1 33.594 (34.458)	Prec@5 70.312 (64.977)
Epoch: [24][150/14090]	Time 0.751 (0.789)	Data 0.001 (0.028)	Loss 2.7084 (2.7316)	Prec@1 35.938 (34.566)	Prec@5 66.406 (65.009)
Epoch: [24][160/14090]	Time 0.725 (0.787)	Data 0.001 (0.026)	Loss 2.5009 (2.7285)	Prec@1 39.844 (34.676)	Prec@5 72.656 (65.149)
Epoch: [24][170/14090]	Time 0.847 (0.786)	Data 0.001 (0.025)	Loss 2.4575 (2.7290)	Prec@1 44.531 (34.759)	Prec@5 67.188 (65.191)
Epoch: [24][180/14090]	Time 0.743 (0.785)	Data 0.001 (0.023)	Loss 2.5654 (2.7312)	Prec@1 40.625 (34.776)	Prec@5 71.094 (65.176)
Epoch: [24][190/14090]	Time 0.769 (0.784)	Data 0.001 (0.022)	Loss 2.8858 (2.7305)	Prec@1 32.812 (34.845)	Prec@5 57.031 (65.142)
Epoch: [24][200/14090]	Time 0.779 (0.783)	Data 0.001 (0.021)	Loss 2.7790 (2.7343)	Prec@1 35.938 (34.721)	Prec@5 62.500 (65.120)
Epoch: [24][210/14090]	Time 0.751 (0.782)	Data 0.001 (0.020)	Loss 2.7015 (2.7323)	Prec@1 34.375 (34.779)	Prec@5 67.969 (65.188)
Epoch: [24][220/14090]	Time 0.725 (0.781)	Data 0.001 (0.019)	Loss 2.3233 (2.7293)	Prec@1 46.094 (34.845)	Prec@5 68.750 (65.243)
Epoch: [24][230/14090]	Time 0.765 (0.780)	Data 0.001 (0.019)	Loss 2.7229 (2.7286)	Prec@1 35.938 (34.876)	Prec@5 64.844 (65.162)
Epoch: [24][240/14090]	Time 0.854 (0.780)	Data 0.001 (0.018)	Loss 2.7599 (2.7279)	Prec@1 30.469 (34.803)	Prec@5 64.844 (65.233)
Epoch: [24][250/14090]	Time 0.760 (0.779)	Data 0.001 (0.017)	Loss 2.9281 (2.7279)	Prec@1 32.031 (34.826)	Prec@5 62.500 (65.242)
Epoch: [24][260/14090]	Time 0.723 (0.778)	Data 0.001 (0.017)	Loss 2.7606 (2.7289)	Prec@1 33.594 (34.797)	Prec@5 64.844 (65.221)
Epoch: [24][270/14090]	Time 0.733 (0.778)	Data 0.001 (0.016)	Loss 2.7739 (2.7249)	Prec@1 35.156 (34.828)	Prec@5 64.062 (65.302)
Epoch: [24][280/14090]	Time 0.765 (0.777)	Data 0.001 (0.015)	Loss 2.8920 (2.7286)	Prec@1 28.906 (34.773)	Prec@5 60.156 (65.244)
Epoch: [24][290/14090]	Time 0.736 (0.777)	Data 0.001 (0.015)	Loss 2.7136 (2.7289)	Prec@1 35.938 (34.778)	Prec@5 67.188 (65.255)
Epoch: [24][300/14090]	Time 0.728 (0.776)	Data 0.001 (0.014)	Loss 2.6661 (2.7306)	Prec@1 34.375 (34.738)	Prec@5 67.188 (65.223)
Epoch: [24][310/14090]	Time 0.893 (0.776)	Data 0.001 (0.014)	Loss 2.5285 (2.7289)	Prec@1 37.500 (34.737)	Prec@5 70.312 (65.271)
Epoch: [24][320/14090]	Time 0.726 (0.776)	Data 0.001 (0.014)	Loss 2.7059 (2.7272)	Prec@1 35.938 (34.730)	Prec@5 67.969 (65.338)
Epoch: [24][330/14090]	Time 0.746 (0.775)	Data 0.001 (0.013)	Loss 2.5198 (2.7263)	Prec@1 40.625 (34.793)	Prec@5 69.531 (65.358)
Epoch: [24][340/14090]	Time 0.760 (0.775)	Data 0.001 (0.013)	Loss 2.5745 (2.7267)	Prec@1 42.188 (34.808)	Prec@5 65.625 (65.352)
Epoch: [24][350/14090]	Time 0.730 (0.775)	Data 0.001 (0.012)	Loss 2.8583 (2.7280)	Prec@1 32.031 (34.825)	Prec@5 63.281 (65.367)
Epoch: [24][360/14090]	Time 0.757 (0.775)	Data 0.001 (0.012)	Loss 2.6833 (2.7272)	Prec@1 32.812 (34.858)	Prec@5 65.625 (65.363)
Epoch: [24][370/14090]	Time 0.737 (0.774)	Data 0.001 (0.012)	Loss 2.9345 (2.7281)	Prec@1 31.250 (34.809)	Prec@5 55.469 (65.330)
Epoch: [24][380/14090]	Time 0.824 (0.774)	Data 0.001 (0.012)	Loss 2.8972 (2.7287)	Prec@1 34.375 (34.824)	Prec@5 62.500 (65.311)
Epoch: [24][390/14090]	Time 0.734 (0.774)	Data 0.001 (0.011)	Loss 2.6912 (2.7292)	Prec@1 35.938 (34.799)	Prec@5 71.094 (65.291)
Epoch: [24][400/14090]	Time 0.740 (0.773)	Data 0.001 (0.011)	Loss 2.7792 (2.7325)	Prec@1 32.031 (34.730)	Prec@5 63.281 (65.210)
Epoch: [24][410/14090]	Time 0.766 (0.774)	Data 0.001 (0.011)	Loss 2.5661 (2.7355)	Prec@1 34.375 (34.698)	Prec@5 67.188 (65.146)
Epoch: [24][420/14090]	Time 0.759 (0.774)	Data 0.001 (0.011)	Loss 2.4772 (2.7376)	Prec@1 42.969 (34.674)	Prec@5 69.531 (65.087)
Epoch: [24][430/14090]	Time 0.727 (0.774)	Data 0.001 (0.010)	Loss 2.5146 (2.7387)	Prec@1 36.719 (34.680)	Prec@5 71.094 (65.094)
Epoch: [24][440/14090]	Time 0.750 (0.773)	Data 0.001 (0.010)	Loss 2.8144 (2.7395)	Prec@1 28.906 (34.646)	Prec@5 64.844 (65.074)
Epoch: [24][450/14090]	Time 0.919 (0.773)	Data 0.001 (0.010)	Loss 3.0386 (2.7407)	Prec@1 26.562 (34.621)	Prec@5 54.688 (65.043)
Epoch: [24][460/14090]	Time 0.757 (0.773)	Data 0.001 (0.010)	Loss 2.4634 (2.7389)	Prec@1 40.625 (34.636)	Prec@5 71.094 (65.076)
Epoch: [24][470/14090]	Time 0.747 (0.773)	Data 0.001 (0.009)	Loss 2.9635 (2.7381)	Prec@1 30.469 (34.644)	Prec@5 57.031 (65.056)
Epoch: [24][480/14090]	Time 0.734 (0.773)	Data 0.001 (0.009)	Loss 2.6812 (2.7388)	Prec@1 42.188 (34.633)	Prec@5 66.406 (65.053)
Epoch: [24][490/14090]	Time 0.765 (0.773)	Data 0.001 (0.009)	Loss 2.5243 (2.7382)	Prec@1 38.281 (34.644)	Prec@5 67.188 (65.065)
Epoch: [24][500/14090]	Time 0.728 (0.773)	Data 0.001 (0.009)	Loss 2.4865 (2.7379)	Prec@1 44.531 (34.682)	Prec@5 68.750 (65.051)
Epoch: [24][510/14090]	Time 0.753 (0.772)	Data 0.001 (0.009)	Loss 2.9206 (2.7387)	Prec@1 34.375 (34.681)	Prec@5 60.938 (65.027)
Epoch: [24][520/14090]	Time 0.893 (0.773)	Data 0.001 (0.009)	Loss 2.7233 (2.7379)	Prec@1 32.812 (34.672)	Prec@5 67.188 (65.043)
Epoch: [24][530/14090]	Time 0.746 (0.772)	Data 0.001 (0.009)	Loss 2.4330 (2.7373)	Prec@1 42.969 (34.688)	Prec@5 69.531 (65.051)
Epoch: [24][540/14090]	Time 0.771 (0.772)	Data 0.001 (0.008)	Loss 2.8307 (2.7384)	Prec@1 35.938 (34.713)	Prec@5 62.500 (65.039)
Epoch: [24][550/14090]	Time 0.769 (0.772)	Data 0.001 (0.008)	Loss 2.7699 (2.7392)	Prec@1 35.156 (34.704)	Prec@5 64.062 (65.004)
Epoch: [24][560/14090]	Time 0.768 (0.772)	Data 0.001 (0.008)	Loss 2.7346 (2.7403)	Prec@1 32.031 (34.663)	Prec@5 65.625 (64.990)
Epoch: [24][570/14090]	Time 0.760 (0.772)	Data 0.001 (0.008)	Loss 2.7044 (2.7393)	Prec@1 33.594 (34.676)	Prec@5 68.750 (64.998)
Epoch: [24][580/14090]	Time 0.742 (0.772)	Data 0.001 (0.008)	Loss 2.6256 (2.7368)	Prec@1 39.062 (34.715)	Prec@5 64.062 (65.051)
Epoch: [24][590/14090]	Time 0.882 (0.772)	Data 0.001 (0.008)	Loss 2.7136 (2.7367)	Prec@1 35.938 (34.739)	Prec@5 64.844 (65.059)
Epoch: [24][600/14090]	Time 0.730 (0.771)	Data 0.001 (0.008)	Loss 2.6417 (2.7353)	Prec@1 37.500 (34.790)	Prec@5 64.062 (65.086)
Epoch: [24][610/14090]	Time 0.762 (0.771)	Data 0.001 (0.008)	Loss 2.7108 (2.7354)	Prec@1 34.375 (34.793)	Prec@5 61.719 (65.071)
Epoch: [24][620/14090]	Time 0.730 (0.771)	Data 0.001 (0.007)	Loss 2.9484 (2.7349)	Prec@1 35.938 (34.799)	Prec@5 58.594 (65.084)
Epoch: [24][630/14090]	Time 0.728 (0.771)	Data 0.001 (0.007)	Loss 2.8583 (2.7348)	Prec@1 25.000 (34.771)	Prec@5 64.062 (65.110)
Epoch: [24][640/14090]	Time 0.759 (0.771)	Data 0.001 (0.007)	Loss 2.6900 (2.7343)	Prec@1 32.031 (34.764)	Prec@5 67.969 (65.119)
Epoch: [24][650/14090]	Time 0.726 (0.771)	Data 0.001 (0.007)	Loss 2.9000 (2.7355)	Prec@1 35.938 (34.737)	Prec@5 64.844 (65.087)
Epoch: [24][660/14090]	Time 0.905 (0.771)	Data 0.001 (0.007)	Loss 3.0179 (2.7370)	Prec@1 32.031 (34.712)	Prec@5 60.156 (65.069)
Epoch: [24][670/14090]	Time 0.749 (0.771)	Data 0.001 (0.007)	Loss 2.8114 (2.7380)	Prec@1 33.594 (34.696)	Prec@5 58.594 (65.015)
Epoch: [24][680/14090]	Time 0.740 (0.771)	Data 0.001 (0.007)	Loss 2.7442 (2.7380)	Prec@1 31.250 (34.688)	Prec@5 64.062 (65.018)
Epoch: [24][690/14090]	Time 0.734 (0.771)	Data 0.001 (0.007)	Loss 2.8560 (2.7388)	Prec@1 35.156 (34.681)	Prec@5 60.156 (64.998)
Epoch: [24][700/14090]	Time 0.739 (0.771)	Data 0.001 (0.007)	Loss 2.8089 (2.7389)	Prec@1 35.156 (34.667)	Prec@5 64.062 (65.016)
Epoch: [24][710/14090]	Time 0.765 (0.771)	Data 0.001 (0.007)	Loss 2.7450 (2.7392)	Prec@1 32.812 (34.665)	Prec@5 62.500 (65.003)
Epoch: [24][720/14090]	Time 0.740 (0.771)	Data 0.001 (0.006)	Loss 2.7145 (2.7391)	Prec@1 32.812 (34.657)	Prec@5 64.844 (64.997)
Epoch: [24][730/14090]	Time 0.855 (0.771)	Data 0.001 (0.006)	Loss 2.7334 (2.7394)	Prec@1 35.156 (34.642)	Prec@5 67.188 (64.996)
Epoch: [24][740/14090]	Time 0.775 (0.771)	Data 0.001 (0.006)	Loss 2.8152 (2.7400)	Prec@1 34.375 (34.620)	Prec@5 64.062 (64.992)
Epoch: [24][750/14090]	Time 0.749 (0.771)	Data 0.001 (0.006)	Loss 2.6298 (2.7414)	Prec@1 39.844 (34.567)	Prec@5 67.188 (64.975)
Epoch: [24][760/14090]	Time 0.784 (0.771)	Data 0.001 (0.006)	Loss 2.4763 (2.7406)	Prec@1 40.625 (34.592)	Prec@5 69.531 (65.006)
Epoch: [24][770/14090]	Time 0.782 (0.771)	Data 0.001 (0.006)	Loss 2.9662 (2.7414)	Prec@1 32.812 (34.556)	Prec@5 56.250 (64.978)
Epoch: [24][780/14090]	Time 0.759 (0.771)	Data 0.001 (0.006)	Loss 2.4664 (2.7400)	Prec@1 37.500 (34.563)	Prec@5 74.219 (65.010)
Epoch: [24][790/14090]	Time 0.728 (0.771)	Data 0.001 (0.006)	Loss 2.5715 (2.7397)	Prec@1 39.844 (34.555)	Prec@5 70.312 (65.013)
Epoch: [24][800/14090]	Time 0.940 (0.771)	Data 0.001 (0.006)	Loss 2.5775 (2.7389)	Prec@1 38.281 (34.569)	Prec@5 69.531 (65.019)
Epoch: [24][810/14090]	Time 0.732 (0.771)	Data 0.001 (0.006)	Loss 3.0429 (2.7392)	Prec@1 30.469 (34.555)	Prec@5 57.812 (65.004)
Epoch: [24][820/14090]	Time 0.726 (0.770)	Data 0.001 (0.006)	Loss 2.7426 (2.7387)	Prec@1 32.031 (34.557)	Prec@5 66.406 (65.005)
Epoch: [24][830/14090]	Time 0.764 (0.770)	Data 0.001 (0.006)	Loss 2.5777 (2.7387)	Prec@1 32.031 (34.544)	Prec@5 64.062 (65.003)
Epoch: [24][840/14090]	Time 0.743 (0.770)	Data 0.001 (0.006)	Loss 2.5633 (2.7392)	Prec@1 35.938 (34.540)	Prec@5 67.188 (64.999)
Epoch: [24][850/14090]	Time 0.749 (0.770)	Data 0.001 (0.006)	Loss 2.9399 (2.7395)	Prec@1 31.250 (34.540)	Prec@5 60.938 (64.993)
Epoch: [24][860/14090]	Time 0.719 (0.770)	Data 0.001 (0.006)	Loss 2.9356 (2.7392)	Prec@1 33.594 (34.533)	Prec@5 61.719 (64.993)
Epoch: [24][870/14090]	Time 0.882 (0.770)	Data 0.001 (0.006)	Loss 2.5177 (2.7390)	Prec@1 35.938 (34.540)	Prec@5 72.656 (65.000)
Epoch: [24][880/14090]	Time 0.774 (0.770)	Data 0.001 (0.005)	Loss 3.0379 (2.7407)	Prec@1 32.812 (34.499)	Prec@5 57.812 (64.964)
Epoch: [24][890/14090]	Time 0.756 (0.770)	Data 0.001 (0.005)	Loss 2.9440 (2.7417)	Prec@1 26.562 (34.472)	Prec@5 57.031 (64.937)
Epoch: [24][900/14090]	Time 0.751 (0.770)	Data 0.001 (0.005)	Loss 2.5474 (2.7412)	Prec@1 41.406 (34.482)	Prec@5 64.844 (64.947)
Epoch: [24][910/14090]	Time 0.764 (0.770)	Data 0.001 (0.005)	Loss 2.7708 (2.7413)	Prec@1 32.812 (34.483)	Prec@5 67.188 (64.947)
Epoch: [24][920/14090]	Time 0.760 (0.770)	Data 0.001 (0.005)	Loss 2.9046 (2.7413)	Prec@1 30.469 (34.497)	Prec@5 63.281 (64.937)
Epoch: [24][930/14090]	Time 0.726 (0.770)	Data 0.001 (0.005)	Loss 2.6987 (2.7421)	Prec@1 29.688 (34.487)	Prec@5 66.406 (64.918)
Epoch: [24][940/14090]	Time 0.885 (0.770)	Data 0.001 (0.005)	Loss 2.9226 (2.7434)	Prec@1 32.812 (34.465)	Prec@5 62.500 (64.899)
Epoch: [24][950/14090]	Time 0.782 (0.770)	Data 0.001 (0.005)	Loss 2.5718 (2.7429)	Prec@1 32.812 (34.465)	Prec@5 70.312 (64.898)
Epoch: [24][960/14090]	Time 0.756 (0.770)	Data 0.001 (0.005)	Loss 2.9734 (2.7437)	Prec@1 28.125 (34.445)	Prec@5 60.156 (64.869)
Epoch: [24][970/14090]	Time 0.774 (0.770)	Data 0.001 (0.005)	Loss 2.6047 (2.7442)	Prec@1 38.281 (34.439)	Prec@5 64.062 (64.869)
Epoch: [24][980/14090]	Time 0.763 (0.770)	Data 0.001 (0.005)	Loss 2.4624 (2.7440)	Prec@1 38.281 (34.435)	Prec@5 73.438 (64.888)
Epoch: [24][990/14090]	Time 0.743 (0.770)	Data 0.001 (0.005)	Loss 2.6997 (2.7438)	Prec@1 33.594 (34.440)	Prec@5 64.062 (64.884)
Epoch: [24][1000/14090]	Time 0.754 (0.770)	Data 0.001 (0.005)	Loss 2.7375 (2.7436)	Prec@1 33.594 (34.440)	Prec@5 63.281 (64.902)
Epoch: [24][1010/14090]	Time 0.870 (0.770)	Data 0.001 (0.005)	Loss 2.7018 (2.7439)	Prec@1 34.375 (34.436)	Prec@5 61.719 (64.890)
Epoch: [24][1020/14090]	Time 0.750 (0.770)	Data 0.001 (0.005)	Loss 2.7742 (2.7443)	Prec@1 27.344 (34.414)	Prec@5 66.406 (64.874)
Epoch: [24][1030/14090]	Time 0.733 (0.770)	Data 0.001 (0.005)	Loss 2.7473 (2.7439)	Prec@1 34.375 (34.415)	Prec@5 66.406 (64.881)
Epoch: [24][1040/14090]	Time 0.747 (0.770)	Data 0.001 (0.005)	Loss 2.9836 (2.7444)	Prec@1 36.719 (34.415)	Prec@5 63.281 (64.879)
Epoch: [24][1050/14090]	Time 0.741 (0.770)	Data 0.001 (0.005)	Loss 2.9153 (2.7438)	Prec@1 28.125 (34.429)	Prec@5 63.281 (64.894)
Epoch: [24][1060/14090]	Time 0.761 (0.770)	Data 0.001 (0.005)	Loss 2.8825 (2.7446)	Prec@1 34.375 (34.436)	Prec@5 64.062 (64.875)
Epoch: [24][1070/14090]	Time 0.744 (0.770)	Data 0.001 (0.005)	Loss 2.8379 (2.7444)	Prec@1 35.156 (34.443)	Prec@5 60.938 (64.878)
Epoch: [24][1080/14090]	Time 0.881 (0.770)	Data 0.001 (0.005)	Loss 2.7688 (2.7441)	Prec@1 30.469 (34.460)	Prec@5 59.375 (64.871)
Epoch: [24][1090/14090]	Time 0.735 (0.770)	Data 0.001 (0.005)	Loss 2.7016 (2.7442)	Prec@1 32.812 (34.459)	Prec@5 64.844 (64.857)
Epoch: [24][1100/14090]	Time 0.747 (0.770)	Data 0.001 (0.005)	Loss 2.7499 (2.7449)	Prec@1 39.062 (34.459)	Prec@5 62.500 (64.847)
Epoch: [24][1110/14090]	Time 0.737 (0.770)	Data 0.001 (0.005)	Loss 2.8135 (2.7449)	Prec@1 32.031 (34.451)	Prec@5 64.844 (64.862)
Epoch: [24][1120/14090]	Time 0.762 (0.770)	Data 0.001 (0.004)	Loss 2.8840 (2.7448)	Prec@1 35.156 (34.455)	Prec@5 60.938 (64.865)
Epoch: [24][1130/14090]	Time 0.773 (0.770)	Data 0.001 (0.004)	Loss 2.7618 (2.7452)	Prec@1 35.156 (34.454)	Prec@5 62.500 (64.870)
Epoch: [24][1140/14090]	Time 0.782 (0.770)	Data 0.001 (0.004)	Loss 2.7068 (2.7443)	Prec@1 30.469 (34.459)	Prec@5 60.938 (64.885)
Epoch: [24][1150/14090]	Time 0.983 (0.770)	Data 0.001 (0.004)	Loss 2.6308 (2.7435)	Prec@1 32.031 (34.465)	Prec@5 66.406 (64.899)
Epoch: [24][1160/14090]	Time 0.759 (0.770)	Data 0.001 (0.004)	Loss 2.8345 (2.7438)	Prec@1 31.250 (34.453)	Prec@5 64.062 (64.900)
Epoch: [24][1170/14090]	Time 0.736 (0.770)	Data 0.001 (0.004)	Loss 2.8383 (2.7441)	Prec@1 31.250 (34.455)	Prec@5 64.062 (64.897)
Epoch: [24][1180/14090]	Time 0.735 (0.770)	Data 0.001 (0.004)	Loss 2.5517 (2.7434)	Prec@1 40.625 (34.470)	Prec@5 71.094 (64.930)
Epoch: [24][1190/14090]	Time 0.769 (0.770)	Data 0.001 (0.004)	Loss 2.6493 (2.7440)	Prec@1 35.156 (34.455)	Prec@5 67.969 (64.924)
Epoch: [24][1200/14090]	Time 0.757 (0.770)	Data 0.001 (0.004)	Loss 2.7402 (2.7439)	Prec@1 39.844 (34.452)	Prec@5 68.750 (64.934)
Epoch: [24][1210/14090]	Time 0.756 (0.770)	Data 0.001 (0.004)	Loss 2.8689 (2.7437)	Prec@1 27.344 (34.456)	Prec@5 60.156 (64.943)
Epoch: [24][1220/14090]	Time 0.833 (0.770)	Data 0.001 (0.004)	Loss 2.7298 (2.7433)	Prec@1 35.938 (34.459)	Prec@5 67.969 (64.944)
Epoch: [24][1230/14090]	Time 0.737 (0.770)	Data 0.001 (0.004)	Loss 3.0000 (2.7432)	Prec@1 33.594 (34.464)	Prec@5 64.844 (64.950)
Epoch: [24][1240/14090]	Time 0.746 (0.769)	Data 0.001 (0.004)	Loss 2.6219 (2.7434)	Prec@1 36.719 (34.468)	Prec@5 65.625 (64.943)
Epoch: [24][1250/14090]	Time 0.725 (0.769)	Data 0.001 (0.004)	Loss 2.9769 (2.7437)	Prec@1 34.375 (34.463)	Prec@5 59.375 (64.934)
Epoch: [24][1260/14090]	Time 0.735 (0.769)	Data 0.001 (0.004)	Loss 2.7967 (2.7442)	Prec@1 34.375 (34.456)	Prec@5 61.719 (64.929)
Epoch: [24][1270/14090]	Time 0.767 (0.769)	Data 0.001 (0.004)	Loss 2.8024 (2.7450)	Prec@1 32.031 (34.444)	Prec@5 64.844 (64.927)
Epoch: [24][1280/14090]	Time 0.732 (0.769)	Data 0.001 (0.004)	Loss 2.9972 (2.7454)	Prec@1 32.812 (34.441)	Prec@5 54.688 (64.911)
Epoch: [24][1290/14090]	Time 0.911 (0.769)	Data 0.001 (0.004)	Loss 2.8228 (2.7458)	Prec@1 29.688 (34.442)	Prec@5 61.719 (64.911)
Epoch: [24][1300/14090]	Time 0.735 (0.769)	Data 0.001 (0.004)	Loss 2.7090 (2.7468)	Prec@1 33.594 (34.433)	Prec@5 64.062 (64.894)
Epoch: [24][1310/14090]	Time 0.730 (0.769)	Data 0.001 (0.004)	Loss 2.8525 (2.7469)	Prec@1 32.812 (34.429)	Prec@5 60.938 (64.880)
Epoch: [24][1320/14090]	Time 0.757 (0.769)	Data 0.001 (0.004)	Loss 2.9028 (2.7475)	Prec@1 29.688 (34.422)	Prec@5 57.812 (64.867)
Epoch: [24][1330/14090]	Time 0.752 (0.769)	Data 0.001 (0.004)	Loss 2.7255 (2.7472)	Prec@1 39.062 (34.424)	Prec@5 62.500 (64.873)
Epoch: [24][1340/14090]	Time 0.766 (0.769)	Data 0.001 (0.004)	Loss 2.7168 (2.7478)	Prec@1 37.500 (34.412)	Prec@5 67.969 (64.856)
Epoch: [24][1350/14090]	Time 0.727 (0.769)	Data 0.001 (0.004)	Loss 2.7505 (2.7481)	Prec@1 32.031 (34.411)	Prec@5 60.938 (64.851)
Epoch: [24][1360/14090]	Time 0.827 (0.769)	Data 0.001 (0.004)	Loss 3.0227 (2.7481)	Prec@1 30.469 (34.412)	Prec@5 60.938 (64.841)
Epoch: [24][1370/14090]	Time 0.756 (0.769)	Data 0.001 (0.004)	Loss 2.4802 (2.7479)	Prec@1 43.750 (34.414)	Prec@5 71.094 (64.840)
Epoch: [24][1380/14090]	Time 0.771 (0.769)	Data 0.001 (0.004)	Loss 2.7595 (2.7478)	Prec@1 35.938 (34.426)	Prec@5 63.281 (64.849)
Epoch: [24][1390/14090]	Time 0.778 (0.769)	Data 0.001 (0.004)	Loss 2.7480 (2.7478)	Prec@1 28.125 (34.424)	Prec@5 69.531 (64.852)
Epoch: [24][1400/14090]	Time 0.756 (0.769)	Data 0.001 (0.004)	Loss 2.6140 (2.7476)	Prec@1 38.281 (34.424)	Prec@5 66.406 (64.856)
Epoch: [24][1410/14090]	Time 0.751 (0.769)	Data 0.001 (0.004)	Loss 2.8932 (2.7473)	Prec@1 31.250 (34.431)	Prec@5 60.938 (64.855)
Epoch: [24][1420/14090]	Time 0.732 (0.769)	Data 0.001 (0.004)	Loss 2.9108 (2.7474)	Prec@1 35.938 (34.423)	Prec@5 60.938 (64.846)
Epoch: [24][1430/14090]	Time 0.840 (0.769)	Data 0.001 (0.004)	Loss 2.8831 (2.7471)	Prec@1 29.688 (34.433)	Prec@5 62.500 (64.854)
Epoch: [24][1440/14090]	Time 0.751 (0.769)	Data 0.001 (0.004)	Loss 2.6027 (2.7467)	Prec@1 35.156 (34.435)	Prec@5 71.094 (64.865)
Epoch: [24][1450/14090]	Time 0.755 (0.769)	Data 0.001 (0.004)	Loss 2.4649 (2.7469)	Prec@1 37.500 (34.444)	Prec@5 65.625 (64.870)
Epoch: [24][1460/14090]	Time 0.742 (0.769)	Data 0.001 (0.004)	Loss 2.7802 (2.7477)	Prec@1 34.375 (34.423)	Prec@5 70.312 (64.863)
Epoch: [24][1470/14090]	Time 0.740 (0.769)	Data 0.001 (0.004)	Loss 2.6588 (2.7473)	Prec@1 35.156 (34.432)	Prec@5 65.625 (64.869)
Epoch: [24][1480/14090]	Time 0.766 (0.769)	Data 0.001 (0.004)	Loss 2.8924 (2.7476)	Prec@1 32.812 (34.425)	Prec@5 60.156 (64.865)
Epoch: [24][1490/14090]	Time 0.750 (0.769)	Data 0.001 (0.004)	Loss 2.7267 (2.7475)	Prec@1 30.469 (34.426)	Prec@5 64.844 (64.857)
Epoch: [24][1500/14090]	Time 0.829 (0.769)	Data 0.001 (0.004)	Loss 2.9488 (2.7478)	Prec@1 32.812 (34.420)	Prec@5 65.625 (64.851)
Epoch: [24][1510/14090]	Time 0.722 (0.769)	Data 0.001 (0.004)	Loss 2.6222 (2.7473)	Prec@1 37.500 (34.423)	Prec@5 64.062 (64.861)
Epoch: [24][1520/14090]	Time 0.738 (0.769)	Data 0.001 (0.004)	Loss 2.8678 (2.7470)	Prec@1 28.125 (34.426)	Prec@5 66.406 (64.870)
Epoch: [24][1530/14090]	Time 0.766 (0.769)	Data 0.001 (0.003)	Loss 2.7427 (2.7467)	Prec@1 37.500 (34.430)	Prec@5 69.531 (64.873)
Epoch: [24][1540/14090]	Time 0.757 (0.769)	Data 0.001 (0.003)	Loss 2.8893 (2.7472)	Prec@1 32.812 (34.427)	Prec@5 58.594 (64.855)
Epoch: [24][1550/14090]	Time 0.758 (0.769)	Data 0.001 (0.003)	Loss 2.7367 (2.7472)	Prec@1 41.406 (34.432)	Prec@5 64.062 (64.860)
Epoch: [24][1560/14090]	Time 0.751 (0.768)	Data 0.001 (0.003)	Loss 2.7715 (2.7469)	Prec@1 33.594 (34.427)	Prec@5 67.969 (64.861)
Epoch: [24][1570/14090]	Time 0.904 (0.768)	Data 0.001 (0.003)	Loss 2.7637 (2.7465)	Prec@1 37.500 (34.431)	Prec@5 62.500 (64.867)
Epoch: [24][1580/14090]	Time 0.736 (0.768)	Data 0.001 (0.003)	Loss 3.0972 (2.7472)	Prec@1 30.469 (34.422)	Prec@5 60.156 (64.858)
Epoch: [24][1590/14090]	Time 0.762 (0.768)	Data 0.001 (0.003)	Loss 2.6393 (2.7475)	Prec@1 38.281 (34.421)	Prec@5 66.406 (64.852)
Epoch: [24][1600/14090]	Time 0.757 (0.768)	Data 0.001 (0.003)	Loss 3.0086 (2.7477)	Prec@1 30.469 (34.414)	Prec@5 59.375 (64.846)
Epoch: [24][1610/14090]	Time 0.760 (0.768)	Data 0.001 (0.003)	Loss 2.9836 (2.7472)	Prec@1 29.688 (34.412)	Prec@5 58.594 (64.861)
Epoch: [24][1620/14090]	Time 0.752 (0.768)	Data 0.001 (0.003)	Loss 2.6369 (2.7473)	Prec@1 38.281 (34.412)	Prec@5 69.531 (64.860)
Epoch: [24][1630/14090]	Time 0.737 (0.768)	Data 0.001 (0.003)	Loss 2.8003 (2.7470)	Prec@1 32.031 (34.409)	Prec@5 61.719 (64.865)
Epoch: [24][1640/14090]	Time 0.859 (0.768)	Data 0.001 (0.003)	Loss 2.4324 (2.7473)	Prec@1 42.969 (34.408)	Prec@5 71.875 (64.854)
Epoch: [24][1650/14090]	Time 0.747 (0.768)	Data 0.001 (0.003)	Loss 2.7153 (2.7477)	Prec@1 35.938 (34.406)	Prec@5 64.844 (64.844)
Epoch: [24][1660/14090]	Time 0.752 (0.768)	Data 0.001 (0.003)	Loss 2.6944 (2.7475)	Prec@1 31.250 (34.407)	Prec@5 64.062 (64.843)
Epoch: [24][1670/14090]	Time 0.755 (0.768)	Data 0.001 (0.003)	Loss 2.9479 (2.7473)	Prec@1 32.812 (34.409)	Prec@5 62.500 (64.847)
Epoch: [24][1680/14090]	Time 0.757 (0.768)	Data 0.001 (0.003)	Loss 2.4844 (2.7469)	Prec@1 43.750 (34.421)	Prec@5 67.188 (64.859)
Epoch: [24][1690/14090]	Time 0.733 (0.768)	Data 0.001 (0.003)	Loss 2.8460 (2.7473)	Prec@1 32.031 (34.410)	Prec@5 62.500 (64.849)
Epoch: [24][1700/14090]	Time 0.756 (0.768)	Data 0.001 (0.003)	Loss 2.6666 (2.7475)	Prec@1 36.719 (34.409)	Prec@5 65.625 (64.844)
Epoch: [24][1710/14090]	Time 0.880 (0.768)	Data 0.001 (0.003)	Loss 2.5162 (2.7472)	Prec@1 42.188 (34.419)	Prec@5 67.969 (64.853)
Epoch: [24][1720/14090]	Time 0.723 (0.768)	Data 0.002 (0.003)	Loss 2.9426 (2.7476)	Prec@1 28.125 (34.415)	Prec@5 60.156 (64.846)
Epoch: [24][1730/14090]	Time 0.731 (0.768)	Data 0.001 (0.003)	Loss 3.2096 (2.7478)	Prec@1 27.344 (34.420)	Prec@5 51.562 (64.839)
Epoch: [24][1740/14090]	Time 0.777 (0.768)	Data 0.001 (0.003)	Loss 2.4019 (2.7473)	Prec@1 39.062 (34.441)	Prec@5 75.000 (64.853)
Epoch: [24][1750/14090]	Time 0.754 (0.768)	Data 0.001 (0.003)	Loss 2.6497 (2.7471)	Prec@1 30.469 (34.452)	Prec@5 64.062 (64.852)
Epoch: [24][1760/14090]	Time 0.752 (0.768)	Data 0.001 (0.003)	Loss 2.4860 (2.7468)	Prec@1 39.062 (34.460)	Prec@5 69.531 (64.856)
Epoch: [24][1770/14090]	Time 0.749 (0.768)	Data 0.001 (0.003)	Loss 2.6437 (2.7468)	Prec@1 39.062 (34.453)	Prec@5 68.750 (64.861)
Epoch: [24][1780/14090]	Time 0.893 (0.768)	Data 0.001 (0.003)	Loss 2.8764 (2.7477)	Prec@1 37.500 (34.439)	Prec@5 60.156 (64.838)
Epoch: [24][1790/14090]	Time 0.728 (0.768)	Data 0.001 (0.003)	Loss 2.6659 (2.7478)	Prec@1 35.156 (34.436)	Prec@5 66.406 (64.840)
Epoch: [24][1800/14090]	Time 0.731 (0.768)	Data 0.001 (0.003)	Loss 2.9588 (2.7485)	Prec@1 32.031 (34.431)	Prec@5 60.938 (64.834)
Epoch: [24][1810/14090]	Time 0.751 (0.768)	Data 0.001 (0.003)	Loss 2.6608 (2.7484)	Prec@1 32.031 (34.442)	Prec@5 64.062 (64.839)
Epoch: [24][1820/14090]	Time 0.774 (0.768)	Data 0.001 (0.003)	Loss 2.4788 (2.7482)	Prec@1 34.375 (34.443)	Prec@5 74.219 (64.851)
Epoch: [24][1830/14090]	Time 0.727 (0.768)	Data 0.001 (0.003)	Loss 2.7737 (2.7480)	Prec@1 32.031 (34.448)	Prec@5 65.625 (64.858)
Epoch: [24][1840/14090]	Time 0.747 (0.768)	Data 0.001 (0.003)	Loss 2.6564 (2.7485)	Prec@1 32.031 (34.440)	Prec@5 66.406 (64.845)
Epoch: [24][1850/14090]	Time 0.898 (0.768)	Data 0.001 (0.003)	Loss 2.7187 (2.7485)	Prec@1 35.156 (34.443)	Prec@5 66.406 (64.842)
Epoch: [24][1860/14090]	Time 0.738 (0.768)	Data 0.001 (0.003)	Loss 2.5619 (2.7485)	Prec@1 37.500 (34.445)	Prec@5 71.094 (64.841)
Epoch: [24][1870/14090]	Time 0.735 (0.768)	Data 0.001 (0.003)	Loss 2.9464 (2.7485)	Prec@1 26.562 (34.442)	Prec@5 65.625 (64.837)
Epoch: [24][1880/14090]	Time 0.736 (0.768)	Data 0.001 (0.003)	Loss 2.7152 (2.7489)	Prec@1 34.375 (34.437)	Prec@5 66.406 (64.825)
Epoch: [24][1890/14090]	Time 0.744 (0.768)	Data 0.001 (0.003)	Loss 2.7388 (2.7491)	Prec@1 35.938 (34.439)	Prec@5 66.406 (64.823)
Epoch: [24][1900/14090]	Time 0.748 (0.768)	Data 0.001 (0.003)	Loss 2.4981 (2.7487)	Prec@1 35.156 (34.444)	Prec@5 72.656 (64.827)
Epoch: [24][1910/14090]	Time 0.730 (0.768)	Data 0.001 (0.003)	Loss 2.5120 (2.7484)	Prec@1 32.031 (34.447)	Prec@5 71.094 (64.832)
Epoch: [24][1920/14090]	Time 0.875 (0.768)	Data 0.001 (0.003)	Loss 2.8682 (2.7482)	Prec@1 33.594 (34.454)	Prec@5 60.938 (64.834)
Epoch: [24][1930/14090]	Time 0.745 (0.768)	Data 0.001 (0.003)	Loss 2.7675 (2.7476)	Prec@1 32.031 (34.464)	Prec@5 64.062 (64.845)
Epoch: [24][1940/14090]	Time 0.723 (0.768)	Data 0.001 (0.003)	Loss 2.8071 (2.7475)	Prec@1 34.375 (34.459)	Prec@5 61.719 (64.843)
Epoch: [24][1950/14090]	Time 0.745 (0.768)	Data 0.001 (0.003)	Loss 2.6009 (2.7478)	Prec@1 40.625 (34.464)	Prec@5 67.969 (64.836)
Epoch: [24][1960/14090]	Time 0.739 (0.768)	Data 0.001 (0.003)	Loss 2.3918 (2.7471)	Prec@1 41.406 (34.476)	Prec@5 70.312 (64.843)
Epoch: [24][1970/14090]	Time 0.746 (0.768)	Data 0.001 (0.003)	Loss 2.9487 (2.7475)	Prec@1 28.125 (34.464)	Prec@5 62.500 (64.831)
Epoch: [24][1980/14090]	Time 0.747 (0.768)	Data 0.001 (0.003)	Loss 2.7967 (2.7476)	Prec@1 34.375 (34.466)	Prec@5 64.844 (64.833)
Epoch: [24][1990/14090]	Time 0.843 (0.768)	Data 0.001 (0.003)	Loss 2.7161 (2.7478)	Prec@1 32.812 (34.459)	Prec@5 68.750 (64.821)
Epoch: [24][2000/14090]	Time 0.749 (0.768)	Data 0.001 (0.003)	Loss 2.7004 (2.7476)	Prec@1 35.156 (34.458)	Prec@5 67.188 (64.824)
Epoch: [24][2010/14090]	Time 0.749 (0.768)	Data 0.001 (0.003)	Loss 2.7380 (2.7478)	Prec@1 34.375 (34.455)	Prec@5 67.969 (64.827)
Epoch: [24][2020/14090]	Time 0.767 (0.768)	Data 0.001 (0.003)	Loss 2.3462 (2.7474)	Prec@1 39.844 (34.457)	Prec@5 71.875 (64.827)
Epoch: [24][2030/14090]	Time 0.734 (0.768)	Data 0.001 (0.003)	Loss 3.0677 (2.7472)	Prec@1 32.031 (34.462)	Prec@5 59.375 (64.832)
Epoch: [24][2040/14090]	Time 0.749 (0.768)	Data 0.001 (0.003)	Loss 3.0509 (2.7472)	Prec@1 31.250 (34.466)	Prec@5 57.031 (64.835)
Epoch: [24][2050/14090]	Time 0.736 (0.768)	Data 0.001 (0.003)	Loss 2.8224 (2.7475)	Prec@1 32.812 (34.463)	Prec@5 60.938 (64.822)
Epoch: [24][2060/14090]	Time 0.855 (0.768)	Data 0.001 (0.003)	Loss 2.6684 (2.7474)	Prec@1 34.375 (34.468)	Prec@5 68.750 (64.826)
Epoch: [24][2070/14090]	Time 0.749 (0.767)	Data 0.001 (0.003)	Loss 2.7545 (2.7475)	Prec@1 34.375 (34.467)	Prec@5 65.625 (64.826)
Epoch: [24][2080/14090]	Time 0.718 (0.767)	Data 0.001 (0.003)	Loss 2.6849 (2.7469)	Prec@1 42.188 (34.477)	Prec@5 63.281 (64.837)
Epoch: [24][2090/14090]	Time 0.730 (0.767)	Data 0.001 (0.003)	Loss 3.0827 (2.7469)	Prec@1 27.344 (34.471)	Prec@5 64.062 (64.840)
Epoch: [24][2100/14090]	Time 0.742 (0.767)	Data 0.001 (0.003)	Loss 2.8332 (2.7473)	Prec@1 32.812 (34.457)	Prec@5 62.500 (64.832)
Epoch: [24][2110/14090]	Time 0.761 (0.767)	Data 0.001 (0.003)	Loss 2.9101 (2.7471)	Prec@1 28.125 (34.460)	Prec@5 58.594 (64.835)
Epoch: [24][2120/14090]	Time 0.744 (0.767)	Data 0.001 (0.003)	Loss 2.7070 (2.7471)	Prec@1 35.156 (34.464)	Prec@5 64.844 (64.830)
Epoch: [24][2130/14090]	Time 0.887 (0.767)	Data 0.001 (0.003)	Loss 2.5488 (2.7470)	Prec@1 40.625 (34.469)	Prec@5 67.188 (64.831)
Epoch: [24][2140/14090]	Time 0.764 (0.767)	Data 0.001 (0.003)	Loss 3.0307 (2.7474)	Prec@1 30.469 (34.461)	Prec@5 57.031 (64.819)
Epoch: [24][2150/14090]	Time 0.753 (0.767)	Data 0.001 (0.003)	Loss 3.0825 (2.7477)	Prec@1 27.344 (34.452)	Prec@5 59.375 (64.813)
Epoch: [24][2160/14090]	Time 0.746 (0.767)	Data 0.001 (0.003)	Loss 3.0363 (2.7479)	Prec@1 31.250 (34.451)	Prec@5 57.812 (64.802)
Epoch: [24][2170/14090]	Time 0.750 (0.767)	Data 0.001 (0.003)	Loss 2.8721 (2.7481)	Prec@1 32.031 (34.444)	Prec@5 62.500 (64.805)
Epoch: [24][2180/14090]	Time 0.726 (0.767)	Data 0.001 (0.003)	Loss 2.6681 (2.7480)	Prec@1 33.594 (34.437)	Prec@5 64.062 (64.804)
Epoch: [24][2190/14090]	Time 0.735 (0.767)	Data 0.001 (0.003)	Loss 2.8587 (2.7478)	Prec@1 33.594 (34.446)	Prec@5 61.719 (64.810)
Epoch: [24][2200/14090]	Time 0.855 (0.767)	Data 0.001 (0.003)	Loss 2.7266 (2.7478)	Prec@1 37.500 (34.446)	Prec@5 62.500 (64.810)
Epoch: [24][2210/14090]	Time 0.752 (0.767)	Data 0.001 (0.003)	Loss 2.5685 (2.7478)	Prec@1 40.625 (34.444)	Prec@5 68.750 (64.809)
Epoch: [24][2220/14090]	Time 0.745 (0.767)	Data 0.001 (0.003)	Loss 2.7662 (2.7478)	Prec@1 32.812 (34.441)	Prec@5 64.062 (64.811)
Epoch: [24][2230/14090]	Time 0.758 (0.767)	Data 0.001 (0.003)	Loss 2.6219 (2.7476)	Prec@1 42.188 (34.450)	Prec@5 66.406 (64.816)
Epoch: [24][2240/14090]	Time 0.752 (0.767)	Data 0.001 (0.003)	Loss 2.5548 (2.7478)	Prec@1 42.188 (34.454)	Prec@5 67.969 (64.811)
Epoch: [24][2250/14090]	Time 0.750 (0.767)	Data 0.001 (0.003)	Loss 2.9390 (2.7477)	Prec@1 26.562 (34.447)	Prec@5 64.844 (64.817)
Epoch: [24][2260/14090]	Time 0.741 (0.767)	Data 0.001 (0.003)	Loss 2.7008 (2.7475)	Prec@1 41.406 (34.453)	Prec@5 62.500 (64.817)
Epoch: [24][2270/14090]	Time 0.857 (0.767)	Data 0.001 (0.003)	Loss 2.7340 (2.7475)	Prec@1 31.250 (34.450)	Prec@5 67.969 (64.819)
Epoch: [24][2280/14090]	Time 0.762 (0.767)	Data 0.001 (0.003)	Loss 2.7696 (2.7476)	Prec@1 28.906 (34.448)	Prec@5 65.625 (64.812)
Epoch: [24][2290/14090]	Time 0.734 (0.767)	Data 0.001 (0.003)	Loss 3.1726 (2.7479)	Prec@1 28.906 (34.451)	Prec@5 56.250 (64.806)
Epoch: [24][2300/14090]	Time 0.742 (0.767)	Data 0.001 (0.003)	Loss 2.8782 (2.7482)	Prec@1 33.594 (34.444)	Prec@5 64.062 (64.805)
Epoch: [24][2310/14090]	Time 0.757 (0.767)	Data 0.001 (0.003)	Loss 2.6441 (2.7479)	Prec@1 34.375 (34.450)	Prec@5 64.844 (64.809)
Epoch: [24][2320/14090]	Time 0.740 (0.767)	Data 0.001 (0.003)	Loss 2.5104 (2.7476)	Prec@1 40.625 (34.460)	Prec@5 67.969 (64.813)
Epoch: [24][2330/14090]	Time 0.754 (0.767)	Data 0.001 (0.003)	Loss 2.5911 (2.7475)	Prec@1 35.156 (34.464)	Prec@5 66.406 (64.814)
Epoch: [24][2340/14090]	Time 0.875 (0.767)	Data 0.001 (0.003)	Loss 2.7311 (2.7477)	Prec@1 31.250 (34.460)	Prec@5 66.406 (64.808)
Epoch: [24][2350/14090]	Time 0.736 (0.767)	Data 0.001 (0.003)	Loss 2.9348 (2.7478)	Prec@1 31.250 (34.460)	Prec@5 53.125 (64.801)
Epoch: [24][2360/14090]	Time 0.724 (0.767)	Data 0.001 (0.003)	Loss 2.3960 (2.7478)	Prec@1 44.531 (34.459)	Prec@5 75.000 (64.800)
Epoch: [24][2370/14090]	Time 0.746 (0.767)	Data 0.001 (0.003)	Loss 2.9383 (2.7476)	Prec@1 27.344 (34.458)	Prec@5 65.625 (64.803)
Epoch: [24][2380/14090]	Time 0.752 (0.767)	Data 0.001 (0.003)	Loss 2.8752 (2.7478)	Prec@1 32.812 (34.466)	Prec@5 62.500 (64.800)
Epoch: [24][2390/14090]	Time 0.720 (0.767)	Data 0.001 (0.003)	Loss 2.5580 (2.7474)	Prec@1 39.844 (34.479)	Prec@5 72.656 (64.812)
Epoch: [24][2400/14090]	Time 0.758 (0.767)	Data 0.001 (0.003)	Loss 2.4825 (2.7471)	Prec@1 36.719 (34.484)	Prec@5 71.875 (64.822)
Epoch: [24][2410/14090]	Time 0.893 (0.767)	Data 0.001 (0.003)	Loss 2.5542 (2.7474)	Prec@1 37.500 (34.483)	Prec@5 68.750 (64.815)
Epoch: [24][2420/14090]	Time 0.733 (0.767)	Data 0.001 (0.003)	Loss 2.9961 (2.7472)	Prec@1 31.250 (34.492)	Prec@5 60.938 (64.814)
Epoch: [24][2430/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 2.9579 (2.7473)	Prec@1 25.000 (34.500)	Prec@5 65.625 (64.811)
Epoch: [24][2440/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 3.0187 (2.7474)	Prec@1 32.031 (34.501)	Prec@5 54.688 (64.810)
Epoch: [24][2450/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 2.9020 (2.7474)	Prec@1 36.719 (34.496)	Prec@5 62.500 (64.812)
Epoch: [24][2460/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 2.6428 (2.7473)	Prec@1 39.062 (34.497)	Prec@5 66.406 (64.814)
Epoch: [24][2470/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 3.0079 (2.7478)	Prec@1 27.344 (34.491)	Prec@5 57.031 (64.801)
Epoch: [24][2480/14090]	Time 0.848 (0.767)	Data 0.001 (0.002)	Loss 2.9633 (2.7480)	Prec@1 34.375 (34.488)	Prec@5 57.031 (64.794)
Epoch: [24][2490/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 3.1645 (2.7485)	Prec@1 25.000 (34.473)	Prec@5 55.469 (64.787)
Epoch: [24][2500/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 2.5219 (2.7485)	Prec@1 37.500 (34.475)	Prec@5 65.625 (64.789)
Epoch: [24][2510/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 2.7579 (2.7485)	Prec@1 35.156 (34.468)	Prec@5 64.062 (64.795)
Epoch: [24][2520/14090]	Time 0.731 (0.767)	Data 0.001 (0.002)	Loss 2.3025 (2.7486)	Prec@1 42.188 (34.465)	Prec@5 77.344 (64.794)
Epoch: [24][2530/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 2.7143 (2.7487)	Prec@1 39.844 (34.465)	Prec@5 66.406 (64.788)
Epoch: [24][2540/14090]	Time 0.757 (0.767)	Data 0.001 (0.002)	Loss 2.8393 (2.7485)	Prec@1 35.938 (34.472)	Prec@5 65.625 (64.793)
Epoch: [24][2550/14090]	Time 0.861 (0.767)	Data 0.001 (0.002)	Loss 2.5639 (2.7486)	Prec@1 46.094 (34.473)	Prec@5 69.531 (64.792)
Epoch: [24][2560/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.9996 (2.7488)	Prec@1 37.500 (34.473)	Prec@5 59.375 (64.785)
Epoch: [24][2570/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 2.7417 (2.7486)	Prec@1 29.688 (34.476)	Prec@5 69.531 (64.789)
Epoch: [24][2580/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 2.7940 (2.7486)	Prec@1 39.062 (34.473)	Prec@5 64.062 (64.785)
Epoch: [24][2590/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 2.7134 (2.7484)	Prec@1 35.938 (34.483)	Prec@5 63.281 (64.792)
Epoch: [24][2600/14090]	Time 0.752 (0.767)	Data 0.002 (0.002)	Loss 3.0475 (2.7485)	Prec@1 31.250 (34.485)	Prec@5 63.281 (64.788)
Epoch: [24][2610/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 2.6461 (2.7490)	Prec@1 41.406 (34.481)	Prec@5 67.188 (64.778)
Epoch: [24][2620/14090]	Time 0.871 (0.767)	Data 0.001 (0.002)	Loss 2.8815 (2.7490)	Prec@1 35.156 (34.478)	Prec@5 64.844 (64.779)
Epoch: [24][2630/14090]	Time 0.722 (0.767)	Data 0.001 (0.002)	Loss 2.6342 (2.7488)	Prec@1 36.719 (34.485)	Prec@5 67.969 (64.786)
Epoch: [24][2640/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 2.6893 (2.7485)	Prec@1 32.812 (34.490)	Prec@5 67.188 (64.796)
Epoch: [24][2650/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 2.6206 (2.7485)	Prec@1 28.906 (34.491)	Prec@5 67.188 (64.797)
Epoch: [24][2660/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 2.7923 (2.7482)	Prec@1 30.469 (34.493)	Prec@5 56.250 (64.799)
Epoch: [24][2670/14090]	Time 0.771 (0.767)	Data 0.001 (0.002)	Loss 2.8155 (2.7480)	Prec@1 31.250 (34.498)	Prec@5 62.500 (64.803)
Epoch: [24][2680/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.5990 (2.7482)	Prec@1 35.938 (34.489)	Prec@5 69.531 (64.802)
Epoch: [24][2690/14090]	Time 0.854 (0.767)	Data 0.001 (0.002)	Loss 2.8092 (2.7482)	Prec@1 38.281 (34.488)	Prec@5 62.500 (64.809)
Epoch: [24][2700/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 2.9960 (2.7480)	Prec@1 36.719 (34.498)	Prec@5 57.812 (64.813)
Epoch: [24][2710/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 3.0431 (2.7478)	Prec@1 34.375 (34.500)	Prec@5 61.719 (64.818)
Epoch: [24][2720/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.6539 (2.7477)	Prec@1 33.594 (34.508)	Prec@5 63.281 (64.816)
Epoch: [24][2730/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 2.4516 (2.7477)	Prec@1 39.844 (34.503)	Prec@5 67.969 (64.818)
Epoch: [24][2740/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.6838 (2.7478)	Prec@1 36.719 (34.502)	Prec@5 67.188 (64.818)
Epoch: [24][2750/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 3.0513 (2.7477)	Prec@1 26.562 (34.499)	Prec@5 60.938 (64.814)
Epoch: [24][2760/14090]	Time 0.893 (0.767)	Data 0.001 (0.002)	Loss 2.4449 (2.7475)	Prec@1 36.719 (34.501)	Prec@5 67.969 (64.815)
Epoch: [24][2770/14090]	Time 0.764 (0.767)	Data 0.001 (0.002)	Loss 2.6227 (2.7474)	Prec@1 39.062 (34.506)	Prec@5 67.969 (64.819)
Epoch: [24][2780/14090]	Time 0.782 (0.766)	Data 0.001 (0.002)	Loss 2.8618 (2.7474)	Prec@1 28.125 (34.511)	Prec@5 64.062 (64.816)
Epoch: [24][2790/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.3818 (2.7469)	Prec@1 40.625 (34.513)	Prec@5 73.438 (64.825)
Epoch: [24][2800/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 2.8005 (2.7470)	Prec@1 37.500 (34.508)	Prec@5 65.625 (64.829)
Epoch: [24][2810/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.6022 (2.7472)	Prec@1 40.625 (34.510)	Prec@5 71.875 (64.826)
Epoch: [24][2820/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.7078 (2.7469)	Prec@1 35.938 (34.512)	Prec@5 64.062 (64.830)
Epoch: [24][2830/14090]	Time 0.853 (0.766)	Data 0.001 (0.002)	Loss 2.7325 (2.7470)	Prec@1 32.812 (34.507)	Prec@5 64.844 (64.828)
Epoch: [24][2840/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 2.9833 (2.7474)	Prec@1 32.031 (34.501)	Prec@5 62.500 (64.824)
Epoch: [24][2850/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 2.9457 (2.7478)	Prec@1 26.562 (34.491)	Prec@5 66.406 (64.820)
Epoch: [24][2860/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.6595 (2.7477)	Prec@1 33.594 (34.492)	Prec@5 64.844 (64.818)
Epoch: [24][2870/14090]	Time 0.763 (0.766)	Data 0.001 (0.002)	Loss 2.7178 (2.7476)	Prec@1 35.938 (34.490)	Prec@5 66.406 (64.822)
Epoch: [24][2880/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 2.9230 (2.7476)	Prec@1 31.250 (34.494)	Prec@5 63.281 (64.822)
Epoch: [24][2890/14090]	Time 0.767 (0.766)	Data 0.001 (0.002)	Loss 2.7445 (2.7478)	Prec@1 36.719 (34.491)	Prec@5 63.281 (64.818)
Epoch: [24][2900/14090]	Time 0.856 (0.766)	Data 0.001 (0.002)	Loss 2.6188 (2.7474)	Prec@1 36.719 (34.496)	Prec@5 65.625 (64.828)
Epoch: [24][2910/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.9335 (2.7473)	Prec@1 32.031 (34.491)	Prec@5 63.281 (64.833)
Epoch: [24][2920/14090]	Time 0.725 (0.766)	Data 0.001 (0.002)	Loss 2.6824 (2.7472)	Prec@1 38.281 (34.503)	Prec@5 61.719 (64.834)
Epoch: [24][2930/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 2.8699 (2.7473)	Prec@1 29.688 (34.497)	Prec@5 64.844 (64.832)
Epoch: [24][2940/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 3.0150 (2.7474)	Prec@1 26.562 (34.498)	Prec@5 59.375 (64.831)
Epoch: [24][2950/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 2.3731 (2.7472)	Prec@1 42.969 (34.503)	Prec@5 69.531 (64.827)
Epoch: [24][2960/14090]	Time 0.727 (0.766)	Data 0.001 (0.002)	Loss 2.7541 (2.7473)	Prec@1 33.594 (34.504)	Prec@5 69.531 (64.828)
Epoch: [24][2970/14090]	Time 0.886 (0.766)	Data 0.001 (0.002)	Loss 2.6476 (2.7474)	Prec@1 39.844 (34.506)	Prec@5 64.844 (64.826)
Epoch: [24][2980/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 2.8034 (2.7475)	Prec@1 35.938 (34.504)	Prec@5 65.625 (64.827)
Epoch: [24][2990/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 2.7496 (2.7473)	Prec@1 38.281 (34.507)	Prec@5 63.281 (64.830)
Epoch: [24][3000/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 2.4763 (2.7471)	Prec@1 40.625 (34.511)	Prec@5 66.406 (64.837)
Epoch: [24][3010/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 2.0599 (2.7469)	Prec@1 49.219 (34.515)	Prec@5 78.906 (64.844)
Epoch: [24][3020/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.9002 (2.7468)	Prec@1 25.781 (34.515)	Prec@5 66.406 (64.850)
Epoch: [24][3030/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 2.7760 (2.7470)	Prec@1 32.031 (34.506)	Prec@5 64.062 (64.846)
Epoch: [24][3040/14090]	Time 0.880 (0.766)	Data 0.001 (0.002)	Loss 2.9782 (2.7474)	Prec@1 34.375 (34.500)	Prec@5 63.281 (64.838)
Epoch: [24][3050/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.5388 (2.7473)	Prec@1 35.156 (34.503)	Prec@5 65.625 (64.837)
Epoch: [24][3060/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.7884 (2.7470)	Prec@1 35.156 (34.503)	Prec@5 64.062 (64.849)
Epoch: [24][3070/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 3.0604 (2.7473)	Prec@1 30.469 (34.495)	Prec@5 57.812 (64.846)
Epoch: [24][3080/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 2.9528 (2.7474)	Prec@1 35.938 (34.496)	Prec@5 59.375 (64.842)
Epoch: [24][3090/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.7944 (2.7472)	Prec@1 33.594 (34.495)	Prec@5 67.188 (64.847)
Epoch: [24][3100/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 2.6262 (2.7472)	Prec@1 37.500 (34.495)	Prec@5 67.969 (64.848)
Epoch: [24][3110/14090]	Time 0.880 (0.766)	Data 0.001 (0.002)	Loss 2.6971 (2.7473)	Prec@1 30.469 (34.495)	Prec@5 63.281 (64.846)
Epoch: [24][3120/14090]	Time 0.766 (0.766)	Data 0.001 (0.002)	Loss 2.9829 (2.7475)	Prec@1 34.375 (34.492)	Prec@5 58.594 (64.840)
Epoch: [24][3130/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 2.8015 (2.7477)	Prec@1 25.781 (34.486)	Prec@5 63.281 (64.829)
Epoch: [24][3140/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.8436 (2.7477)	Prec@1 28.125 (34.488)	Prec@5 60.938 (64.826)
Epoch: [24][3150/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 2.7984 (2.7477)	Prec@1 39.844 (34.483)	Prec@5 64.062 (64.828)
Epoch: [24][3160/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.5325 (2.7477)	Prec@1 37.500 (34.483)	Prec@5 64.844 (64.828)
Epoch: [24][3170/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.8488 (2.7478)	Prec@1 33.594 (34.480)	Prec@5 60.938 (64.823)
Epoch: [24][3180/14090]	Time 0.893 (0.766)	Data 0.001 (0.002)	Loss 2.9051 (2.7477)	Prec@1 35.156 (34.480)	Prec@5 58.594 (64.817)
Epoch: [24][3190/14090]	Time 0.773 (0.766)	Data 0.001 (0.002)	Loss 2.7837 (2.7478)	Prec@1 34.375 (34.478)	Prec@5 61.719 (64.814)
Epoch: [24][3200/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.6633 (2.7476)	Prec@1 37.500 (34.487)	Prec@5 66.406 (64.819)
Epoch: [24][3210/14090]	Time 0.779 (0.766)	Data 0.001 (0.002)	Loss 2.8866 (2.7475)	Prec@1 32.812 (34.491)	Prec@5 63.281 (64.823)
Epoch: [24][3220/14090]	Time 0.777 (0.766)	Data 0.001 (0.002)	Loss 2.6539 (2.7474)	Prec@1 35.938 (34.496)	Prec@5 67.969 (64.827)
Epoch: [24][3230/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.5978 (2.7473)	Prec@1 39.062 (34.498)	Prec@5 67.969 (64.833)
Epoch: [24][3240/14090]	Time 0.777 (0.766)	Data 0.001 (0.002)	Loss 2.4723 (2.7472)	Prec@1 36.719 (34.503)	Prec@5 73.438 (64.836)
Epoch: [24][3250/14090]	Time 0.875 (0.766)	Data 0.001 (0.002)	Loss 3.0147 (2.7473)	Prec@1 31.250 (34.502)	Prec@5 57.031 (64.836)
Epoch: [24][3260/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 2.6247 (2.7473)	Prec@1 38.281 (34.497)	Prec@5 68.750 (64.837)
Epoch: [24][3270/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 2.7958 (2.7474)	Prec@1 31.250 (34.490)	Prec@5 63.281 (64.834)
Epoch: [24][3280/14090]	Time 0.765 (0.766)	Data 0.001 (0.002)	Loss 2.7223 (2.7473)	Prec@1 36.719 (34.494)	Prec@5 65.625 (64.834)
Epoch: [24][3290/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 2.7146 (2.7471)	Prec@1 35.938 (34.490)	Prec@5 73.438 (64.841)
Epoch: [24][3300/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.6895 (2.7472)	Prec@1 34.375 (34.492)	Prec@5 64.062 (64.838)
Epoch: [24][3310/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 2.7011 (2.7470)	Prec@1 37.500 (34.495)	Prec@5 64.844 (64.838)
Epoch: [24][3320/14090]	Time 0.867 (0.766)	Data 0.001 (0.002)	Loss 2.7366 (2.7470)	Prec@1 28.906 (34.496)	Prec@5 67.969 (64.838)
Epoch: [24][3330/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 3.0933 (2.7470)	Prec@1 32.812 (34.492)	Prec@5 57.812 (64.834)
Epoch: [24][3340/14090]	Time 0.725 (0.766)	Data 0.001 (0.002)	Loss 2.8528 (2.7471)	Prec@1 34.375 (34.489)	Prec@5 60.938 (64.830)
Epoch: [24][3350/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.5666 (2.7471)	Prec@1 40.625 (34.491)	Prec@5 67.969 (64.829)
Epoch: [24][3360/14090]	Time 0.763 (0.766)	Data 0.001 (0.002)	Loss 3.2509 (2.7471)	Prec@1 26.562 (34.495)	Prec@5 54.688 (64.829)
Epoch: [24][3370/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 2.7294 (2.7473)	Prec@1 31.250 (34.490)	Prec@5 64.844 (64.826)
Epoch: [24][3380/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.7586 (2.7474)	Prec@1 32.812 (34.490)	Prec@5 62.500 (64.826)
Epoch: [24][3390/14090]	Time 0.856 (0.766)	Data 0.001 (0.002)	Loss 2.8755 (2.7473)	Prec@1 28.125 (34.488)	Prec@5 61.719 (64.825)
Epoch: [24][3400/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 2.7643 (2.7473)	Prec@1 30.469 (34.489)	Prec@5 67.188 (64.826)
Epoch: [24][3410/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.5639 (2.7472)	Prec@1 35.938 (34.490)	Prec@5 69.531 (64.831)
Epoch: [24][3420/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.8497 (2.7469)	Prec@1 35.938 (34.495)	Prec@5 61.719 (64.836)
Epoch: [24][3430/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.7536 (2.7469)	Prec@1 31.250 (34.493)	Prec@5 66.406 (64.841)
Epoch: [24][3440/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.9379 (2.7468)	Prec@1 28.906 (34.496)	Prec@5 58.594 (64.846)
Epoch: [24][3450/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 2.5875 (2.7467)	Prec@1 40.625 (34.497)	Prec@5 68.750 (64.849)
Epoch: [24][3460/14090]	Time 0.855 (0.766)	Data 0.001 (0.002)	Loss 2.7088 (2.7466)	Prec@1 35.156 (34.501)	Prec@5 67.969 (64.847)
Epoch: [24][3470/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.5921 (2.7469)	Prec@1 39.062 (34.498)	Prec@5 66.406 (64.839)
Epoch: [24][3480/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 2.8371 (2.7468)	Prec@1 33.594 (34.498)	Prec@5 64.844 (64.839)
Epoch: [24][3490/14090]	Time 0.725 (0.766)	Data 0.001 (0.002)	Loss 2.7657 (2.7468)	Prec@1 32.031 (34.504)	Prec@5 64.844 (64.837)
Epoch: [24][3500/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 2.5637 (2.7469)	Prec@1 41.406 (34.503)	Prec@5 63.281 (64.836)
Epoch: [24][3510/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.8339 (2.7471)	Prec@1 33.594 (34.497)	Prec@5 64.062 (64.833)
Epoch: [24][3520/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.6542 (2.7471)	Prec@1 38.281 (34.494)	Prec@5 64.844 (64.834)
Epoch: [24][3530/14090]	Time 0.911 (0.766)	Data 0.001 (0.002)	Loss 2.8800 (2.7471)	Prec@1 34.375 (34.494)	Prec@5 63.281 (64.834)
Epoch: [24][3540/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 2.7865 (2.7470)	Prec@1 34.375 (34.495)	Prec@5 62.500 (64.833)
Epoch: [24][3550/14090]	Time 0.775 (0.766)	Data 0.001 (0.002)	Loss 3.3294 (2.7470)	Prec@1 25.781 (34.496)	Prec@5 53.125 (64.835)
Epoch: [24][3560/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.6511 (2.7467)	Prec@1 34.375 (34.497)	Prec@5 72.656 (64.842)
Epoch: [24][3570/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.6901 (2.7468)	Prec@1 33.594 (34.496)	Prec@5 66.406 (64.842)
Epoch: [24][3580/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.8333 (2.7469)	Prec@1 31.250 (34.494)	Prec@5 59.375 (64.837)
Epoch: [24][3590/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 3.0987 (2.7469)	Prec@1 28.906 (34.487)	Prec@5 57.031 (64.832)
Epoch: [24][3600/14090]	Time 0.823 (0.766)	Data 0.001 (0.002)	Loss 2.7853 (2.7470)	Prec@1 34.375 (34.483)	Prec@5 63.281 (64.832)
Epoch: [24][3610/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.6331 (2.7471)	Prec@1 39.062 (34.486)	Prec@5 64.062 (64.830)
Epoch: [24][3620/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 2.7291 (2.7470)	Prec@1 39.062 (34.488)	Prec@5 65.625 (64.831)
Epoch: [24][3630/14090]	Time 0.775 (0.766)	Data 0.001 (0.002)	Loss 2.5859 (2.7472)	Prec@1 30.469 (34.479)	Prec@5 68.750 (64.826)
Epoch: [24][3640/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.7533 (2.7470)	Prec@1 34.375 (34.484)	Prec@5 65.625 (64.830)
Epoch: [24][3650/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.7898 (2.7471)	Prec@1 32.812 (34.485)	Prec@5 66.406 (64.829)
Epoch: [24][3660/14090]	Time 0.764 (0.766)	Data 0.001 (0.002)	Loss 2.6463 (2.7472)	Prec@1 30.469 (34.482)	Prec@5 69.531 (64.834)
Epoch: [24][3670/14090]	Time 0.887 (0.766)	Data 0.001 (0.002)	Loss 3.0596 (2.7473)	Prec@1 32.812 (34.484)	Prec@5 56.250 (64.831)
Epoch: [24][3680/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.8532 (2.7472)	Prec@1 29.688 (34.487)	Prec@5 61.719 (64.832)
Epoch: [24][3690/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 2.4286 (2.7471)	Prec@1 39.844 (34.489)	Prec@5 73.438 (64.835)
Epoch: [24][3700/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 2.6862 (2.7470)	Prec@1 26.562 (34.486)	Prec@5 67.188 (64.839)
Epoch: [24][3710/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 3.0473 (2.7471)	Prec@1 28.125 (34.484)	Prec@5 56.250 (64.836)
Epoch: [24][3720/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 2.5509 (2.7469)	Prec@1 37.500 (34.488)	Prec@5 67.969 (64.840)
Epoch: [24][3730/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.5494 (2.7470)	Prec@1 37.500 (34.484)	Prec@5 68.750 (64.835)
Epoch: [24][3740/14090]	Time 0.855 (0.766)	Data 0.001 (0.002)	Loss 2.6558 (2.7469)	Prec@1 35.156 (34.488)	Prec@5 64.062 (64.838)
Epoch: [24][3750/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 3.1445 (2.7467)	Prec@1 27.344 (34.487)	Prec@5 56.250 (64.842)
Epoch: [24][3760/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.4849 (2.7467)	Prec@1 42.969 (34.488)	Prec@5 70.312 (64.839)
Epoch: [24][3770/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 3.1443 (2.7469)	Prec@1 30.469 (34.484)	Prec@5 61.719 (64.837)
Epoch: [24][3780/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.8908 (2.7470)	Prec@1 39.062 (34.487)	Prec@5 60.156 (64.833)
Epoch: [24][3790/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.7701 (2.7468)	Prec@1 31.250 (34.489)	Prec@5 62.500 (64.838)
Epoch: [24][3800/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.8023 (2.7469)	Prec@1 36.719 (34.487)	Prec@5 60.156 (64.832)
Epoch: [24][3810/14090]	Time 0.892 (0.766)	Data 0.001 (0.002)	Loss 2.5746 (2.7472)	Prec@1 38.281 (34.483)	Prec@5 69.531 (64.828)
Epoch: [24][3820/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 3.0615 (2.7475)	Prec@1 30.469 (34.475)	Prec@5 57.812 (64.821)
Epoch: [24][3830/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.8082 (2.7478)	Prec@1 39.844 (34.468)	Prec@5 66.406 (64.815)
Epoch: [24][3840/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 2.6147 (2.7478)	Prec@1 28.906 (34.470)	Prec@5 71.094 (64.820)
Epoch: [24][3850/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.7358 (2.7479)	Prec@1 38.281 (34.466)	Prec@5 62.500 (64.812)
Epoch: [24][3860/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 2.6465 (2.7478)	Prec@1 35.156 (34.465)	Prec@5 66.406 (64.811)
Epoch: [24][3870/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.6131 (2.7477)	Prec@1 33.594 (34.467)	Prec@5 65.625 (64.810)
Epoch: [24][3880/14090]	Time 0.865 (0.766)	Data 0.001 (0.002)	Loss 2.5426 (2.7477)	Prec@1 36.719 (34.468)	Prec@5 69.531 (64.807)
Epoch: [24][3890/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 2.6934 (2.7479)	Prec@1 31.250 (34.467)	Prec@5 69.531 (64.808)
Epoch: [24][3900/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.9560 (2.7481)	Prec@1 31.250 (34.462)	Prec@5 60.156 (64.806)
Epoch: [24][3910/14090]	Time 0.728 (0.766)	Data 0.001 (0.002)	Loss 2.6877 (2.7483)	Prec@1 33.594 (34.459)	Prec@5 66.406 (64.802)
Epoch: [24][3920/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 2.8078 (2.7483)	Prec@1 30.469 (34.453)	Prec@5 64.062 (64.800)
Epoch: [24][3930/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 2.7963 (2.7481)	Prec@1 32.812 (34.459)	Prec@5 64.062 (64.801)
Epoch: [24][3940/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 2.6781 (2.7482)	Prec@1 38.281 (34.458)	Prec@5 68.750 (64.799)
Epoch: [24][3950/14090]	Time 0.830 (0.766)	Data 0.001 (0.002)	Loss 2.8695 (2.7482)	Prec@1 35.938 (34.459)	Prec@5 59.375 (64.798)
Epoch: [24][3960/14090]	Time 0.768 (0.766)	Data 0.001 (0.002)	Loss 2.8317 (2.7482)	Prec@1 33.594 (34.461)	Prec@5 64.062 (64.801)
Epoch: [24][3970/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.9718 (2.7481)	Prec@1 31.250 (34.462)	Prec@5 59.375 (64.805)
Epoch: [24][3980/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.3805 (2.7478)	Prec@1 44.531 (34.463)	Prec@5 78.906 (64.814)
Epoch: [24][3990/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.9699 (2.7478)	Prec@1 34.375 (34.465)	Prec@5 56.250 (64.810)
Epoch: [24][4000/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 2.7545 (2.7482)	Prec@1 33.594 (34.461)	Prec@5 68.750 (64.802)
Epoch: [24][4010/14090]	Time 0.763 (0.766)	Data 0.001 (0.002)	Loss 2.6783 (2.7481)	Prec@1 33.594 (34.459)	Prec@5 64.844 (64.806)
Epoch: [24][4020/14090]	Time 0.876 (0.766)	Data 0.001 (0.002)	Loss 2.7904 (2.7484)	Prec@1 28.906 (34.450)	Prec@5 62.500 (64.798)
Epoch: [24][4030/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.8688 (2.7485)	Prec@1 35.156 (34.449)	Prec@5 62.500 (64.797)
Epoch: [24][4040/14090]	Time 0.728 (0.766)	Data 0.001 (0.002)	Loss 3.0591 (2.7485)	Prec@1 34.375 (34.456)	Prec@5 59.375 (64.800)
Epoch: [24][4050/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 2.8702 (2.7486)	Prec@1 36.719 (34.456)	Prec@5 60.938 (64.802)
Epoch: [24][4060/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 2.6700 (2.7485)	Prec@1 37.500 (34.459)	Prec@5 71.094 (64.804)
Epoch: [24][4070/14090]	Time 0.727 (0.766)	Data 0.001 (0.002)	Loss 2.4930 (2.7488)	Prec@1 35.938 (34.450)	Prec@5 68.750 (64.793)
Epoch: [24][4080/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 2.6936 (2.7490)	Prec@1 34.375 (34.444)	Prec@5 65.625 (64.789)
Epoch: [24][4090/14090]	Time 0.875 (0.766)	Data 0.001 (0.002)	Loss 2.5367 (2.7489)	Prec@1 37.500 (34.447)	Prec@5 64.844 (64.787)
Epoch: [24][4100/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 3.0180 (2.7490)	Prec@1 27.344 (34.447)	Prec@5 58.594 (64.790)
Epoch: [24][4110/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 2.5924 (2.7489)	Prec@1 36.719 (34.446)	Prec@5 67.188 (64.792)
Epoch: [24][4120/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 2.6754 (2.7489)	Prec@1 35.938 (34.444)	Prec@5 69.531 (64.788)
Epoch: [24][4130/14090]	Time 0.769 (0.766)	Data 0.001 (0.002)	Loss 2.9072 (2.7489)	Prec@1 39.844 (34.447)	Prec@5 62.500 (64.789)
Epoch: [24][4140/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 3.0396 (2.7489)	Prec@1 35.156 (34.448)	Prec@5 57.812 (64.785)
Epoch: [24][4150/14090]	Time 0.763 (0.766)	Data 0.001 (0.002)	Loss 2.5302 (2.7488)	Prec@1 40.625 (34.448)	Prec@5 65.625 (64.784)
Epoch: [24][4160/14090]	Time 0.853 (0.766)	Data 0.001 (0.002)	Loss 2.8778 (2.7488)	Prec@1 33.594 (34.444)	Prec@5 63.281 (64.785)
Epoch: [24][4170/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.6809 (2.7490)	Prec@1 35.156 (34.445)	Prec@5 68.750 (64.783)
Epoch: [24][4180/14090]	Time 0.769 (0.766)	Data 0.001 (0.002)	Loss 2.7900 (2.7492)	Prec@1 41.406 (34.443)	Prec@5 64.844 (64.779)
Epoch: [24][4190/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 2.6043 (2.7491)	Prec@1 39.844 (34.445)	Prec@5 67.188 (64.782)
Epoch: [24][4200/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 2.6188 (2.7488)	Prec@1 39.844 (34.447)	Prec@5 67.969 (64.788)
Epoch: [24][4210/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.9173 (2.7486)	Prec@1 27.344 (34.448)	Prec@5 64.844 (64.797)
Epoch: [24][4220/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 2.7066 (2.7487)	Prec@1 31.250 (34.444)	Prec@5 64.062 (64.794)
Epoch: [24][4230/14090]	Time 0.871 (0.766)	Data 0.001 (0.002)	Loss 2.8792 (2.7487)	Prec@1 29.688 (34.446)	Prec@5 61.719 (64.794)
Epoch: [24][4240/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.6265 (2.7486)	Prec@1 45.312 (34.451)	Prec@5 71.094 (64.798)
Epoch: [24][4250/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.5950 (2.7484)	Prec@1 36.719 (34.455)	Prec@5 64.062 (64.803)
Epoch: [24][4260/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 2.2893 (2.7482)	Prec@1 45.312 (34.458)	Prec@5 74.219 (64.806)
Epoch: [24][4270/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.7406 (2.7484)	Prec@1 33.594 (34.453)	Prec@5 69.531 (64.804)
Epoch: [24][4280/14090]	Time 0.766 (0.766)	Data 0.001 (0.002)	Loss 2.8580 (2.7484)	Prec@1 39.844 (34.455)	Prec@5 66.406 (64.804)
Epoch: [24][4290/14090]	Time 0.780 (0.766)	Data 0.001 (0.002)	Loss 2.5301 (2.7483)	Prec@1 39.062 (34.460)	Prec@5 70.312 (64.806)
Epoch: [24][4300/14090]	Time 0.881 (0.766)	Data 0.001 (0.002)	Loss 2.7626 (2.7482)	Prec@1 32.812 (34.459)	Prec@5 59.375 (64.804)
Epoch: [24][4310/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 2.6110 (2.7481)	Prec@1 39.062 (34.461)	Prec@5 69.531 (64.808)
Epoch: [24][4320/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.7088 (2.7480)	Prec@1 40.625 (34.463)	Prec@5 60.938 (64.810)
Epoch: [24][4330/14090]	Time 0.777 (0.766)	Data 0.001 (0.002)	Loss 2.6098 (2.7478)	Prec@1 40.625 (34.463)	Prec@5 68.750 (64.815)
Epoch: [24][4340/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 2.8562 (2.7480)	Prec@1 31.250 (34.460)	Prec@5 66.406 (64.814)
Epoch: [24][4350/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 2.6445 (2.7481)	Prec@1 38.281 (34.460)	Prec@5 64.062 (64.808)
Epoch: [24][4360/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 2.7061 (2.7479)	Prec@1 32.812 (34.463)	Prec@5 67.188 (64.810)
Epoch: [24][4370/14090]	Time 0.895 (0.766)	Data 0.001 (0.002)	Loss 2.9026 (2.7480)	Prec@1 31.250 (34.460)	Prec@5 59.375 (64.811)
Epoch: [24][4380/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 2.9028 (2.7480)	Prec@1 29.688 (34.462)	Prec@5 60.156 (64.812)
Epoch: [24][4390/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.6570 (2.7479)	Prec@1 37.500 (34.464)	Prec@5 64.844 (64.815)
Epoch: [24][4400/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 2.7203 (2.7479)	Prec@1 34.375 (34.462)	Prec@5 63.281 (64.811)
Epoch: [24][4410/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 3.0376 (2.7480)	Prec@1 30.469 (34.463)	Prec@5 61.719 (64.810)
Epoch: [24][4420/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.7574 (2.7481)	Prec@1 39.062 (34.462)	Prec@5 64.062 (64.807)
Epoch: [24][4430/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 2.8685 (2.7483)	Prec@1 35.156 (34.461)	Prec@5 63.281 (64.804)
Epoch: [24][4440/14090]	Time 0.865 (0.766)	Data 0.001 (0.002)	Loss 2.5251 (2.7483)	Prec@1 41.406 (34.461)	Prec@5 67.969 (64.805)
Epoch: [24][4450/14090]	Time 0.727 (0.766)	Data 0.001 (0.002)	Loss 2.7351 (2.7483)	Prec@1 33.594 (34.463)	Prec@5 59.375 (64.806)
Epoch: [24][4460/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.5494 (2.7482)	Prec@1 43.750 (34.463)	Prec@5 67.969 (64.806)
Epoch: [24][4470/14090]	Time 0.773 (0.766)	Data 0.001 (0.002)	Loss 2.6635 (2.7484)	Prec@1 33.594 (34.462)	Prec@5 67.969 (64.806)
Epoch: [24][4480/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.6586 (2.7484)	Prec@1 34.375 (34.463)	Prec@5 66.406 (64.807)
Epoch: [24][4490/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 3.0497 (2.7485)	Prec@1 31.250 (34.460)	Prec@5 54.688 (64.802)
Epoch: [24][4500/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.6667 (2.7487)	Prec@1 41.406 (34.462)	Prec@5 65.625 (64.797)
Epoch: [24][4510/14090]	Time 0.845 (0.766)	Data 0.001 (0.002)	Loss 2.6986 (2.7487)	Prec@1 35.156 (34.465)	Prec@5 67.969 (64.798)
Epoch: [24][4520/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.8128 (2.7487)	Prec@1 31.250 (34.466)	Prec@5 67.188 (64.797)
Epoch: [24][4530/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 2.8591 (2.7486)	Prec@1 32.812 (34.466)	Prec@5 58.594 (64.796)
Epoch: [24][4540/14090]	Time 0.763 (0.766)	Data 0.001 (0.002)	Loss 2.8007 (2.7485)	Prec@1 32.812 (34.463)	Prec@5 63.281 (64.799)
Epoch: [24][4550/14090]	Time 0.725 (0.766)	Data 0.001 (0.002)	Loss 2.5684 (2.7484)	Prec@1 39.844 (34.464)	Prec@5 70.312 (64.799)
Epoch: [24][4560/14090]	Time 0.726 (0.766)	Data 0.001 (0.002)	Loss 2.6679 (2.7483)	Prec@1 38.281 (34.466)	Prec@5 66.406 (64.803)
Epoch: [24][4570/14090]	Time 0.741 (0.766)	Data 0.002 (0.002)	Loss 2.7593 (2.7485)	Prec@1 35.156 (34.462)	Prec@5 67.969 (64.801)
Epoch: [24][4580/14090]	Time 0.897 (0.766)	Data 0.001 (0.002)	Loss 3.1791 (2.7487)	Prec@1 29.688 (34.459)	Prec@5 56.250 (64.796)
Epoch: [24][4590/14090]	Time 0.726 (0.766)	Data 0.001 (0.002)	Loss 2.5413 (2.7486)	Prec@1 35.938 (34.460)	Prec@5 70.312 (64.801)
Epoch: [24][4600/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 2.9724 (2.7487)	Prec@1 29.688 (34.456)	Prec@5 53.906 (64.796)
Epoch: [24][4610/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.7498 (2.7486)	Prec@1 32.031 (34.454)	Prec@5 71.094 (64.800)
Epoch: [24][4620/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.6599 (2.7487)	Prec@1 28.906 (34.450)	Prec@5 68.750 (64.795)
Epoch: [24][4630/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 2.7406 (2.7485)	Prec@1 35.156 (34.456)	Prec@5 61.719 (64.799)
Epoch: [24][4640/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 3.0986 (2.7486)	Prec@1 25.781 (34.454)	Prec@5 59.375 (64.801)
Epoch: [24][4650/14090]	Time 0.880 (0.766)	Data 0.001 (0.002)	Loss 2.7908 (2.7484)	Prec@1 32.812 (34.458)	Prec@5 64.062 (64.806)
Epoch: [24][4660/14090]	Time 0.724 (0.766)	Data 0.001 (0.002)	Loss 2.7244 (2.7484)	Prec@1 37.500 (34.457)	Prec@5 63.281 (64.809)
Epoch: [24][4670/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 2.4469 (2.7483)	Prec@1 39.062 (34.460)	Prec@5 67.969 (64.809)
Epoch: [24][4680/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 2.6997 (2.7483)	Prec@1 35.156 (34.457)	Prec@5 64.844 (64.810)
Epoch: [24][4690/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 2.9780 (2.7485)	Prec@1 33.594 (34.453)	Prec@5 60.156 (64.806)
Epoch: [24][4700/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 2.8265 (2.7485)	Prec@1 38.281 (34.451)	Prec@5 67.188 (64.812)
Epoch: [24][4710/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.9925 (2.7486)	Prec@1 28.125 (34.449)	Prec@5 60.938 (64.810)
Epoch: [24][4720/14090]	Time 0.849 (0.766)	Data 0.001 (0.002)	Loss 2.8780 (2.7485)	Prec@1 34.375 (34.454)	Prec@5 62.500 (64.808)
Epoch: [24][4730/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 2.7775 (2.7487)	Prec@1 38.281 (34.450)	Prec@5 62.500 (64.805)
Epoch: [24][4740/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 2.7159 (2.7487)	Prec@1 33.594 (34.452)	Prec@5 69.531 (64.808)
Epoch: [24][4750/14090]	Time 0.769 (0.766)	Data 0.001 (0.002)	Loss 2.6991 (2.7487)	Prec@1 32.812 (34.452)	Prec@5 69.531 (64.808)
Epoch: [24][4760/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 2.7166 (2.7488)	Prec@1 34.375 (34.447)	Prec@5 66.406 (64.805)
Epoch: [24][4770/14090]	Time 0.766 (0.766)	Data 0.001 (0.002)	Loss 3.1323 (2.7491)	Prec@1 31.250 (34.446)	Prec@5 60.156 (64.802)
Epoch: [24][4780/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.6450 (2.7490)	Prec@1 39.062 (34.447)	Prec@5 64.062 (64.801)
Epoch: [24][4790/14090]	Time 0.871 (0.766)	Data 0.001 (0.002)	Loss 2.7701 (2.7489)	Prec@1 28.125 (34.450)	Prec@5 67.188 (64.803)
Epoch: [24][4800/14090]	Time 0.732 (0.766)	Data 0.002 (0.002)	Loss 2.8187 (2.7490)	Prec@1 36.719 (34.448)	Prec@5 60.938 (64.800)
Epoch: [24][4810/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 2.8525 (2.7491)	Prec@1 28.125 (34.443)	Prec@5 65.625 (64.798)
Epoch: [24][4820/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 2.8187 (2.7489)	Prec@1 35.938 (34.448)	Prec@5 61.719 (64.803)
Epoch: [24][4830/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 2.6513 (2.7489)	Prec@1 44.531 (34.447)	Prec@5 63.281 (64.802)
Epoch: [24][4840/14090]	Time 0.767 (0.766)	Data 0.001 (0.002)	Loss 2.9932 (2.7489)	Prec@1 32.812 (34.448)	Prec@5 60.938 (64.802)
Epoch: [24][4850/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 2.5887 (2.7489)	Prec@1 37.500 (34.450)	Prec@5 67.188 (64.801)
Epoch: [24][4860/14090]	Time 0.864 (0.766)	Data 0.001 (0.002)	Loss 2.5782 (2.7489)	Prec@1 38.281 (34.453)	Prec@5 71.094 (64.802)
Epoch: [24][4870/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 3.0886 (2.7490)	Prec@1 26.562 (34.452)	Prec@5 61.719 (64.804)
Epoch: [24][4880/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 2.6894 (2.7492)	Prec@1 35.938 (34.448)	Prec@5 67.188 (64.801)
Epoch: [24][4890/14090]	Time 0.726 (0.766)	Data 0.001 (0.002)	Loss 2.8917 (2.7494)	Prec@1 35.156 (34.443)	Prec@5 60.938 (64.798)
Epoch: [24][4900/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.6507 (2.7494)	Prec@1 35.156 (34.444)	Prec@5 65.625 (64.798)
Epoch: [24][4910/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 2.9961 (2.7495)	Prec@1 29.688 (34.440)	Prec@5 64.062 (64.797)
Epoch: [24][4920/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 2.6529 (2.7494)	Prec@1 33.594 (34.443)	Prec@5 66.406 (64.797)
Epoch: [24][4930/14090]	Time 0.909 (0.766)	Data 0.001 (0.002)	Loss 2.6558 (2.7495)	Prec@1 36.719 (34.442)	Prec@5 66.406 (64.795)
Epoch: [24][4940/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 2.8222 (2.7494)	Prec@1 32.031 (34.446)	Prec@5 64.844 (64.796)
Epoch: [24][4950/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 2.9377 (2.7496)	Prec@1 28.906 (34.444)	Prec@5 65.625 (64.792)
Epoch: [24][4960/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.9592 (2.7496)	Prec@1 28.125 (34.442)	Prec@5 57.812 (64.791)
Epoch: [24][4970/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 2.3904 (2.7495)	Prec@1 47.656 (34.443)	Prec@5 71.094 (64.795)
Epoch: [24][4980/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.9988 (2.7496)	Prec@1 27.344 (34.440)	Prec@5 60.938 (64.793)
Epoch: [24][4990/14090]	Time 0.727 (0.766)	Data 0.001 (0.002)	Loss 2.5830 (2.7496)	Prec@1 37.500 (34.444)	Prec@5 67.188 (64.796)
Epoch: [24][5000/14090]	Time 0.889 (0.766)	Data 0.001 (0.002)	Loss 2.7740 (2.7496)	Prec@1 31.250 (34.441)	Prec@5 66.406 (64.795)
Epoch: [24][5010/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 2.8165 (2.7497)	Prec@1 32.031 (34.438)	Prec@5 65.625 (64.791)
Epoch: [24][5020/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 2.5092 (2.7496)	Prec@1 39.844 (34.441)	Prec@5 67.188 (64.794)
Epoch: [24][5030/14090]	Time 0.721 (0.766)	Data 0.001 (0.002)	Loss 3.1081 (2.7497)	Prec@1 24.219 (34.439)	Prec@5 57.812 (64.793)
Epoch: [24][5040/14090]	Time 0.773 (0.766)	Data 0.001 (0.002)	Loss 2.3798 (2.7495)	Prec@1 44.531 (34.443)	Prec@5 71.094 (64.798)
Epoch: [24][5050/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 2.5965 (2.7495)	Prec@1 40.625 (34.442)	Prec@5 67.188 (64.801)
Epoch: [24][5060/14090]	Time 0.726 (0.766)	Data 0.001 (0.002)	Loss 2.6734 (2.7495)	Prec@1 34.375 (34.441)	Prec@5 59.375 (64.799)
Epoch: [24][5070/14090]	Time 0.873 (0.766)	Data 0.001 (0.002)	Loss 2.9197 (2.7495)	Prec@1 30.469 (34.443)	Prec@5 64.844 (64.802)
Epoch: [24][5080/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 2.6712 (2.7496)	Prec@1 35.156 (34.439)	Prec@5 64.844 (64.800)
Epoch: [24][5090/14090]	Time 0.761 (0.766)	Data 0.001 (0.002)	Loss 2.6438 (2.7497)	Prec@1 33.594 (34.435)	Prec@5 67.969 (64.799)
Epoch: [24][5100/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 2.9895 (2.7496)	Prec@1 32.812 (34.437)	Prec@5 63.281 (64.799)
Epoch: [24][5110/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 2.7211 (2.7496)	Prec@1 30.469 (34.433)	Prec@5 65.625 (64.799)
Epoch: [24][5120/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.9315 (2.7499)	Prec@1 31.250 (34.429)	Prec@5 60.156 (64.793)
Epoch: [24][5130/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.6221 (2.7499)	Prec@1 40.625 (34.428)	Prec@5 65.625 (64.794)
Epoch: [24][5140/14090]	Time 0.871 (0.766)	Data 0.001 (0.002)	Loss 2.7972 (2.7500)	Prec@1 27.344 (34.429)	Prec@5 64.062 (64.793)
Epoch: [24][5150/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 3.0340 (2.7502)	Prec@1 32.812 (34.430)	Prec@5 63.281 (64.791)
Epoch: [24][5160/14090]	Time 0.720 (0.766)	Data 0.001 (0.002)	Loss 2.6918 (2.7500)	Prec@1 33.594 (34.433)	Prec@5 64.062 (64.793)
Epoch: [24][5170/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 2.8704 (2.7500)	Prec@1 25.000 (34.432)	Prec@5 62.500 (64.794)
Epoch: [24][5180/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 2.7250 (2.7500)	Prec@1 35.156 (34.428)	Prec@5 63.281 (64.791)
Epoch: [24][5190/14090]	Time 0.728 (0.766)	Data 0.000 (0.002)	Loss 2.7888 (2.7502)	Prec@1 32.812 (34.424)	Prec@5 63.281 (64.790)
Epoch: [24][5200/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.6516 (2.7502)	Prec@1 32.031 (34.424)	Prec@5 64.062 (64.785)
Epoch: [24][5210/14090]	Time 0.906 (0.766)	Data 0.001 (0.002)	Loss 2.7476 (2.7502)	Prec@1 34.375 (34.423)	Prec@5 65.625 (64.785)
Epoch: [24][5220/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 2.5623 (2.7503)	Prec@1 40.625 (34.421)	Prec@5 67.969 (64.786)
Epoch: [24][5230/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.7551 (2.7505)	Prec@1 34.375 (34.421)	Prec@5 63.281 (64.782)
Epoch: [24][5240/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.6067 (2.7503)	Prec@1 31.250 (34.423)	Prec@5 67.188 (64.784)
Epoch: [24][5250/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 2.8166 (2.7504)	Prec@1 32.812 (34.419)	Prec@5 66.406 (64.784)
Epoch: [24][5260/14090]	Time 0.771 (0.766)	Data 0.001 (0.002)	Loss 2.6301 (2.7504)	Prec@1 38.281 (34.420)	Prec@5 65.625 (64.781)
Epoch: [24][5270/14090]	Time 0.765 (0.766)	Data 0.001 (0.002)	Loss 2.6748 (2.7504)	Prec@1 35.156 (34.422)	Prec@5 69.531 (64.784)
Epoch: [24][5280/14090]	Time 0.855 (0.766)	Data 0.001 (0.002)	Loss 2.6164 (2.7504)	Prec@1 39.844 (34.421)	Prec@5 63.281 (64.782)
Epoch: [24][5290/14090]	Time 0.719 (0.766)	Data 0.001 (0.002)	Loss 2.5462 (2.7505)	Prec@1 34.375 (34.418)	Prec@5 70.312 (64.785)
Epoch: [24][5300/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.8362 (2.7505)	Prec@1 39.062 (34.418)	Prec@5 64.844 (64.785)
Epoch: [24][5310/14090]	Time 0.727 (0.766)	Data 0.001 (0.002)	Loss 2.7076 (2.7505)	Prec@1 34.375 (34.418)	Prec@5 66.406 (64.787)
Epoch: [24][5320/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 2.8240 (2.7506)	Prec@1 32.031 (34.416)	Prec@5 63.281 (64.784)
Epoch: [24][5330/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 2.3534 (2.7505)	Prec@1 42.969 (34.417)	Prec@5 72.656 (64.787)
Epoch: [24][5340/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.8828 (2.7505)	Prec@1 33.594 (34.419)	Prec@5 64.062 (64.786)
Epoch: [24][5350/14090]	Time 0.852 (0.766)	Data 0.001 (0.002)	Loss 2.4652 (2.7504)	Prec@1 38.281 (34.420)	Prec@5 75.000 (64.789)
Epoch: [24][5360/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 2.8776 (2.7505)	Prec@1 34.375 (34.422)	Prec@5 65.625 (64.789)
Epoch: [24][5370/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.9566 (2.7505)	Prec@1 31.250 (34.423)	Prec@5 60.156 (64.788)
Epoch: [24][5380/14090]	Time 0.767 (0.766)	Data 0.001 (0.002)	Loss 2.7446 (2.7505)	Prec@1 39.844 (34.424)	Prec@5 64.062 (64.785)
Epoch: [24][5390/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 2.7610 (2.7507)	Prec@1 31.250 (34.420)	Prec@5 66.406 (64.782)
Epoch: [24][5400/14090]	Time 0.763 (0.766)	Data 0.001 (0.002)	Loss 2.9128 (2.7506)	Prec@1 32.812 (34.422)	Prec@5 59.375 (64.782)
Epoch: [24][5410/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 2.7308 (2.7507)	Prec@1 28.906 (34.423)	Prec@5 65.625 (64.779)
Epoch: [24][5420/14090]	Time 0.849 (0.766)	Data 0.001 (0.002)	Loss 2.9511 (2.7507)	Prec@1 25.781 (34.423)	Prec@5 65.625 (64.779)
Epoch: [24][5430/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.6501 (2.7507)	Prec@1 36.719 (34.423)	Prec@5 63.281 (64.780)
Epoch: [24][5440/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.7610 (2.7507)	Prec@1 38.281 (34.425)	Prec@5 65.625 (64.779)
Epoch: [24][5450/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 2.8257 (2.7506)	Prec@1 32.031 (34.427)	Prec@5 60.156 (64.779)
Epoch: [24][5460/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 3.0576 (2.7508)	Prec@1 31.250 (34.426)	Prec@5 60.938 (64.776)
Epoch: [24][5470/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 2.5795 (2.7509)	Prec@1 42.969 (34.425)	Prec@5 69.531 (64.775)
Epoch: [24][5480/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.6245 (2.7508)	Prec@1 28.906 (34.426)	Prec@5 64.062 (64.777)
Epoch: [24][5490/14090]	Time 0.877 (0.766)	Data 0.001 (0.002)	Loss 2.6586 (2.7507)	Prec@1 39.844 (34.428)	Prec@5 67.969 (64.778)
Epoch: [24][5500/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.6886 (2.7508)	Prec@1 34.375 (34.424)	Prec@5 60.938 (64.778)
Epoch: [24][5510/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 2.7289 (2.7509)	Prec@1 32.031 (34.422)	Prec@5 64.844 (64.775)
Epoch: [24][5520/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 3.0608 (2.7511)	Prec@1 25.781 (34.414)	Prec@5 57.812 (64.769)
Epoch: [24][5530/14090]	Time 0.723 (0.766)	Data 0.001 (0.002)	Loss 2.8729 (2.7510)	Prec@1 35.938 (34.413)	Prec@5 63.281 (64.773)
Epoch: [24][5540/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.5451 (2.7510)	Prec@1 37.500 (34.417)	Prec@5 68.750 (64.773)
Epoch: [24][5550/14090]	Time 0.727 (0.766)	Data 0.001 (0.002)	Loss 2.6699 (2.7508)	Prec@1 32.812 (34.419)	Prec@5 63.281 (64.774)
Epoch: [24][5560/14090]	Time 0.870 (0.766)	Data 0.001 (0.002)	Loss 2.8465 (2.7508)	Prec@1 33.594 (34.420)	Prec@5 60.156 (64.776)
Epoch: [24][5570/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 3.0489 (2.7509)	Prec@1 34.375 (34.419)	Prec@5 60.938 (64.773)
Epoch: [24][5580/14090]	Time 0.737 (0.765)	Data 0.001 (0.002)	Loss 2.7058 (2.7510)	Prec@1 35.156 (34.418)	Prec@5 68.750 (64.773)
Epoch: [24][5590/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 2.8796 (2.7511)	Prec@1 29.688 (34.417)	Prec@5 67.188 (64.770)
Epoch: [24][5600/14090]	Time 0.749 (0.765)	Data 0.001 (0.002)	Loss 2.5934 (2.7511)	Prec@1 28.906 (34.413)	Prec@5 65.625 (64.771)
Epoch: [24][5610/14090]	Time 0.744 (0.765)	Data 0.001 (0.002)	Loss 2.5734 (2.7511)	Prec@1 39.062 (34.411)	Prec@5 68.750 (64.771)
Epoch: [24][5620/14090]	Time 0.725 (0.765)	Data 0.001 (0.002)	Loss 2.4841 (2.7511)	Prec@1 40.625 (34.411)	Prec@5 72.656 (64.772)
Epoch: [24][5630/14090]	Time 0.864 (0.765)	Data 0.001 (0.002)	Loss 2.8639 (2.7510)	Prec@1 35.156 (34.413)	Prec@5 62.500 (64.773)
Epoch: [24][5640/14090]	Time 0.758 (0.765)	Data 0.001 (0.002)	Loss 2.9856 (2.7510)	Prec@1 26.562 (34.416)	Prec@5 60.156 (64.773)
Epoch: [24][5650/14090]	Time 0.743 (0.765)	Data 0.001 (0.002)	Loss 2.6528 (2.7509)	Prec@1 33.594 (34.418)	Prec@5 65.625 (64.772)
Epoch: [24][5660/14090]	Time 0.730 (0.765)	Data 0.001 (0.002)	Loss 2.6170 (2.7509)	Prec@1 35.938 (34.413)	Prec@5 64.062 (64.772)
Epoch: [24][5670/14090]	Time 0.729 (0.765)	Data 0.001 (0.002)	Loss 2.6413 (2.7508)	Prec@1 31.250 (34.414)	Prec@5 67.188 (64.775)
Epoch: [24][5680/14090]	Time 0.767 (0.765)	Data 0.001 (0.002)	Loss 2.9063 (2.7508)	Prec@1 27.344 (34.410)	Prec@5 64.844 (64.776)
Epoch: [24][5690/14090]	Time 0.736 (0.765)	Data 0.001 (0.002)	Loss 2.4339 (2.7507)	Prec@1 33.594 (34.410)	Prec@5 70.312 (64.778)
Epoch: [24][5700/14090]	Time 0.884 (0.765)	Data 0.001 (0.002)	Loss 2.7725 (2.7509)	Prec@1 36.719 (34.409)	Prec@5 61.719 (64.775)
Epoch: [24][5710/14090]	Time 0.739 (0.765)	Data 0.001 (0.002)	Loss 2.6056 (2.7509)	Prec@1 35.156 (34.410)	Prec@5 59.375 (64.773)
Epoch: [24][5720/14090]	Time 0.749 (0.765)	Data 0.001 (0.002)	Loss 2.6890 (2.7509)	Prec@1 33.594 (34.411)	Prec@5 67.188 (64.777)
Epoch: [24][5730/14090]	Time 0.743 (0.765)	Data 0.001 (0.002)	Loss 2.7746 (2.7507)	Prec@1 33.594 (34.414)	Prec@5 65.625 (64.779)
Epoch: [24][5740/14090]	Time 0.756 (0.765)	Data 0.001 (0.002)	Loss 2.7205 (2.7507)	Prec@1 32.031 (34.414)	Prec@5 65.625 (64.782)
Epoch: [24][5750/14090]	Time 0.748 (0.765)	Data 0.001 (0.002)	Loss 2.9553 (2.7508)	Prec@1 32.031 (34.414)	Prec@5 59.375 (64.780)
Epoch: [24][5760/14090]	Time 0.749 (0.765)	Data 0.001 (0.002)	Loss 2.7311 (2.7508)	Prec@1 38.281 (34.414)	Prec@5 63.281 (64.782)
Epoch: [24][5770/14090]	Time 0.918 (0.765)	Data 0.001 (0.002)	Loss 2.9369 (2.7509)	Prec@1 30.469 (34.412)	Prec@5 58.594 (64.780)
Epoch: [24][5780/14090]	Time 0.756 (0.765)	Data 0.001 (0.002)	Loss 2.6081 (2.7508)	Prec@1 37.500 (34.415)	Prec@5 67.969 (64.782)
Epoch: [24][5790/14090]	Time 0.740 (0.765)	Data 0.001 (0.002)	Loss 2.7557 (2.7508)	Prec@1 35.156 (34.413)	Prec@5 62.500 (64.784)
Epoch: [24][5800/14090]	Time 0.736 (0.765)	Data 0.001 (0.002)	Loss 2.5266 (2.7507)	Prec@1 41.406 (34.415)	Prec@5 73.438 (64.786)
Epoch: [24][5810/14090]	Time 0.769 (0.765)	Data 0.001 (0.002)	Loss 2.3020 (2.7505)	Prec@1 46.094 (34.420)	Prec@5 76.562 (64.793)
Epoch: [24][5820/14090]	Time 0.750 (0.765)	Data 0.001 (0.002)	Loss 2.7020 (2.7505)	Prec@1 28.906 (34.417)	Prec@5 63.281 (64.793)
Epoch: [24][5830/14090]	Time 0.730 (0.765)	Data 0.001 (0.002)	Loss 2.6465 (2.7505)	Prec@1 34.375 (34.417)	Prec@5 68.750 (64.793)
Epoch: [24][5840/14090]	Time 0.888 (0.765)	Data 0.001 (0.002)	Loss 2.9007 (2.7506)	Prec@1 25.781 (34.411)	Prec@5 67.188 (64.792)
Epoch: [24][5850/14090]	Time 0.730 (0.765)	Data 0.002 (0.002)	Loss 2.4979 (2.7505)	Prec@1 41.406 (34.410)	Prec@5 67.969 (64.794)
Epoch: [24][5860/14090]	Time 0.734 (0.765)	Data 0.001 (0.002)	Loss 3.1435 (2.7506)	Prec@1 29.688 (34.409)	Prec@5 56.250 (64.792)
Epoch: [24][5870/14090]	Time 0.737 (0.765)	Data 0.001 (0.002)	Loss 2.6422 (2.7506)	Prec@1 35.156 (34.411)	Prec@5 65.625 (64.789)
Epoch: [24][5880/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.7918 (2.7506)	Prec@1 36.719 (34.409)	Prec@5 64.844 (64.789)
Epoch: [24][5890/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.7270 (2.7506)	Prec@1 33.594 (34.411)	Prec@5 66.406 (64.788)
Epoch: [24][5900/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 3.2409 (2.7506)	Prec@1 29.688 (34.411)	Prec@5 56.250 (64.786)
Epoch: [24][5910/14090]	Time 0.904 (0.765)	Data 0.001 (0.001)	Loss 2.6081 (2.7506)	Prec@1 39.844 (34.414)	Prec@5 66.406 (64.786)
Epoch: [24][5920/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.6975 (2.7506)	Prec@1 37.500 (34.413)	Prec@5 68.750 (64.788)
Epoch: [24][5930/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.9485 (2.7505)	Prec@1 27.344 (34.415)	Prec@5 63.281 (64.791)
Epoch: [24][5940/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.8040 (2.7506)	Prec@1 40.625 (34.417)	Prec@5 64.062 (64.790)
Epoch: [24][5950/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.7668 (2.7507)	Prec@1 28.906 (34.413)	Prec@5 61.719 (64.786)
Epoch: [24][5960/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.6009 (2.7507)	Prec@1 33.594 (34.412)	Prec@5 71.875 (64.787)
Epoch: [24][5970/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.5663 (2.7508)	Prec@1 37.500 (34.409)	Prec@5 67.969 (64.786)
Epoch: [24][5980/14090]	Time 0.865 (0.765)	Data 0.001 (0.001)	Loss 2.7401 (2.7508)	Prec@1 35.156 (34.411)	Prec@5 64.062 (64.786)
Epoch: [24][5990/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 3.1105 (2.7508)	Prec@1 28.906 (34.412)	Prec@5 57.031 (64.786)
Epoch: [24][6000/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 3.0700 (2.7509)	Prec@1 29.688 (34.411)	Prec@5 57.031 (64.784)
Epoch: [24][6010/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.5781 (2.7510)	Prec@1 41.406 (34.410)	Prec@5 68.750 (64.780)
Epoch: [24][6020/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.6759 (2.7510)	Prec@1 37.500 (34.408)	Prec@5 67.969 (64.781)
Epoch: [24][6030/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.4761 (2.7510)	Prec@1 42.188 (34.408)	Prec@5 69.531 (64.782)
Epoch: [24][6040/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.9996 (2.7511)	Prec@1 24.219 (34.404)	Prec@5 63.281 (64.781)
Epoch: [24][6050/14090]	Time 0.895 (0.765)	Data 0.001 (0.001)	Loss 3.0728 (2.7512)	Prec@1 32.031 (34.402)	Prec@5 53.906 (64.776)
Epoch: [24][6060/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.8081 (2.7513)	Prec@1 36.719 (34.400)	Prec@5 64.062 (64.777)
Epoch: [24][6070/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.3714 (2.7512)	Prec@1 44.531 (34.403)	Prec@5 75.781 (64.779)
Epoch: [24][6080/14090]	Time 0.722 (0.765)	Data 0.001 (0.001)	Loss 2.4678 (2.7513)	Prec@1 42.188 (34.403)	Prec@5 75.000 (64.782)
Epoch: [24][6090/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.6662 (2.7512)	Prec@1 35.156 (34.401)	Prec@5 70.312 (64.786)
Epoch: [24][6100/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.6501 (2.7511)	Prec@1 36.719 (34.402)	Prec@5 70.312 (64.790)
Epoch: [24][6110/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.9075 (2.7511)	Prec@1 33.594 (34.401)	Prec@5 58.594 (64.789)
Epoch: [24][6120/14090]	Time 0.864 (0.765)	Data 0.001 (0.001)	Loss 2.7800 (2.7511)	Prec@1 34.375 (34.402)	Prec@5 66.406 (64.788)
Epoch: [24][6130/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.9074 (2.7512)	Prec@1 37.500 (34.401)	Prec@5 58.594 (64.787)
Epoch: [24][6140/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.7417 (2.7512)	Prec@1 33.594 (34.400)	Prec@5 66.406 (64.786)
Epoch: [24][6150/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.4298 (2.7512)	Prec@1 35.156 (34.397)	Prec@5 69.531 (64.783)
Epoch: [24][6160/14090]	Time 0.786 (0.765)	Data 0.001 (0.001)	Loss 2.9760 (2.7513)	Prec@1 27.344 (34.396)	Prec@5 61.719 (64.783)
Epoch: [24][6170/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.9559 (2.7513)	Prec@1 33.594 (34.396)	Prec@5 61.719 (64.783)
Epoch: [24][6180/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.8336 (2.7513)	Prec@1 32.031 (34.400)	Prec@5 63.281 (64.783)
Epoch: [24][6190/14090]	Time 0.866 (0.765)	Data 0.001 (0.001)	Loss 2.8458 (2.7514)	Prec@1 29.688 (34.398)	Prec@5 60.938 (64.781)
Epoch: [24][6200/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.7253 (2.7515)	Prec@1 32.812 (34.395)	Prec@5 63.281 (64.779)
Epoch: [24][6210/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.9947 (2.7516)	Prec@1 28.125 (34.393)	Prec@5 58.594 (64.779)
Epoch: [24][6220/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.6923 (2.7517)	Prec@1 34.375 (34.392)	Prec@5 65.625 (64.777)
Epoch: [24][6230/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.7075 (2.7516)	Prec@1 33.594 (34.392)	Prec@5 64.062 (64.779)
Epoch: [24][6240/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.7282 (2.7517)	Prec@1 35.156 (34.389)	Prec@5 63.281 (64.776)
Epoch: [24][6250/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.8853 (2.7517)	Prec@1 33.594 (34.391)	Prec@5 66.406 (64.778)
Epoch: [24][6260/14090]	Time 0.858 (0.765)	Data 0.001 (0.001)	Loss 2.7802 (2.7515)	Prec@1 32.031 (34.393)	Prec@5 65.625 (64.781)
Epoch: [24][6270/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.8528 (2.7516)	Prec@1 29.688 (34.391)	Prec@5 64.062 (64.780)
Epoch: [24][6280/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.9101 (2.7517)	Prec@1 34.375 (34.389)	Prec@5 61.719 (64.778)
Epoch: [24][6290/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.5789 (2.7516)	Prec@1 43.750 (34.390)	Prec@5 70.312 (64.778)
Epoch: [24][6300/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.8870 (2.7517)	Prec@1 29.688 (34.389)	Prec@5 60.938 (64.778)
Epoch: [24][6310/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.6090 (2.7515)	Prec@1 39.844 (34.393)	Prec@5 69.531 (64.782)
Epoch: [24][6320/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.9741 (2.7516)	Prec@1 30.469 (34.393)	Prec@5 60.938 (64.782)
Epoch: [24][6330/14090]	Time 0.845 (0.765)	Data 0.001 (0.001)	Loss 2.9423 (2.7515)	Prec@1 30.469 (34.394)	Prec@5 64.844 (64.783)
Epoch: [24][6340/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.8586 (2.7515)	Prec@1 34.375 (34.394)	Prec@5 64.844 (64.781)
Epoch: [24][6350/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.4951 (2.7515)	Prec@1 41.406 (34.397)	Prec@5 67.969 (64.781)
Epoch: [24][6360/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.8005 (2.7514)	Prec@1 33.594 (34.400)	Prec@5 62.500 (64.781)
Epoch: [24][6370/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.7715 (2.7515)	Prec@1 35.938 (34.400)	Prec@5 67.969 (64.779)
Epoch: [24][6380/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.9094 (2.7515)	Prec@1 29.688 (34.400)	Prec@5 60.938 (64.778)
Epoch: [24][6390/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.7582 (2.7516)	Prec@1 31.250 (34.396)	Prec@5 64.844 (64.775)
Epoch: [24][6400/14090]	Time 0.873 (0.765)	Data 0.001 (0.001)	Loss 2.6792 (2.7515)	Prec@1 37.500 (34.398)	Prec@5 70.312 (64.778)
Epoch: [24][6410/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.5414 (2.7516)	Prec@1 39.844 (34.398)	Prec@5 64.062 (64.777)
Epoch: [24][6420/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.7808 (2.7516)	Prec@1 28.906 (34.395)	Prec@5 62.500 (64.774)
Epoch: [24][6430/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.5782 (2.7515)	Prec@1 35.938 (34.395)	Prec@5 67.188 (64.774)
Epoch: [24][6440/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.3417 (2.7515)	Prec@1 41.406 (34.398)	Prec@5 72.656 (64.775)
Epoch: [24][6450/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.6525 (2.7515)	Prec@1 36.719 (34.397)	Prec@5 67.969 (64.774)
Epoch: [24][6460/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.9188 (2.7516)	Prec@1 32.031 (34.394)	Prec@5 60.938 (64.774)
Epoch: [24][6470/14090]	Time 0.872 (0.765)	Data 0.001 (0.001)	Loss 2.7514 (2.7515)	Prec@1 29.688 (34.394)	Prec@5 67.188 (64.777)
Epoch: [24][6480/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.8400 (2.7516)	Prec@1 28.125 (34.393)	Prec@5 64.844 (64.776)
Epoch: [24][6490/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.8237 (2.7517)	Prec@1 34.375 (34.390)	Prec@5 62.500 (64.773)
Epoch: [24][6500/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.7303 (2.7518)	Prec@1 28.125 (34.389)	Prec@5 67.188 (64.774)
Epoch: [24][6510/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.8336 (2.7519)	Prec@1 35.938 (34.385)	Prec@5 63.281 (64.769)
Epoch: [24][6520/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.7020 (2.7521)	Prec@1 37.500 (34.381)	Prec@5 70.312 (64.767)
Epoch: [24][6530/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.5682 (2.7521)	Prec@1 35.938 (34.378)	Prec@5 70.312 (64.768)
Epoch: [24][6540/14090]	Time 0.882 (0.765)	Data 0.001 (0.001)	Loss 2.6908 (2.7521)	Prec@1 36.719 (34.377)	Prec@5 66.406 (64.767)
Epoch: [24][6550/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.9535 (2.7521)	Prec@1 29.688 (34.376)	Prec@5 56.250 (64.765)
Epoch: [24][6560/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.4132 (2.7521)	Prec@1 40.625 (34.376)	Prec@5 71.875 (64.766)
Epoch: [24][6570/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.7081 (2.7522)	Prec@1 37.500 (34.374)	Prec@5 64.844 (64.763)
Epoch: [24][6580/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.9589 (2.7521)	Prec@1 30.469 (34.374)	Prec@5 59.375 (64.763)
Epoch: [24][6590/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.9988 (2.7522)	Prec@1 32.031 (34.375)	Prec@5 60.938 (64.763)
Epoch: [24][6600/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.8301 (2.7523)	Prec@1 35.156 (34.375)	Prec@5 64.844 (64.764)
Epoch: [24][6610/14090]	Time 0.899 (0.765)	Data 0.001 (0.001)	Loss 2.6545 (2.7523)	Prec@1 41.406 (34.376)	Prec@5 67.969 (64.764)
Epoch: [24][6620/14090]	Time 0.780 (0.765)	Data 0.001 (0.001)	Loss 2.8896 (2.7522)	Prec@1 35.156 (34.377)	Prec@5 60.156 (64.765)
Epoch: [24][6630/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.5849 (2.7522)	Prec@1 31.250 (34.378)	Prec@5 71.875 (64.766)
Epoch: [24][6640/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.6831 (2.7522)	Prec@1 37.500 (34.378)	Prec@5 67.969 (64.766)
Epoch: [24][6650/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 3.1050 (2.7522)	Prec@1 30.469 (34.378)	Prec@5 57.812 (64.771)
Epoch: [24][6660/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.6222 (2.7522)	Prec@1 39.844 (34.378)	Prec@5 65.625 (64.770)
Epoch: [24][6670/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.6618 (2.7520)	Prec@1 34.375 (34.381)	Prec@5 64.062 (64.773)
Epoch: [24][6680/14090]	Time 0.868 (0.765)	Data 0.001 (0.001)	Loss 2.8816 (2.7520)	Prec@1 27.344 (34.380)	Prec@5 66.406 (64.772)
Epoch: [24][6690/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 3.0180 (2.7520)	Prec@1 29.688 (34.383)	Prec@5 60.156 (64.771)
Epoch: [24][6700/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.7191 (2.7521)	Prec@1 36.719 (34.381)	Prec@5 63.281 (64.767)
Epoch: [24][6710/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.9049 (2.7520)	Prec@1 28.125 (34.379)	Prec@5 62.500 (64.771)
Epoch: [24][6720/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.6465 (2.7521)	Prec@1 36.719 (34.378)	Prec@5 64.062 (64.770)
Epoch: [24][6730/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.5701 (2.7520)	Prec@1 39.844 (34.383)	Prec@5 64.062 (64.771)
Epoch: [24][6740/14090]	Time 0.768 (0.765)	Data 0.001 (0.001)	Loss 2.4499 (2.7520)	Prec@1 40.625 (34.384)	Prec@5 68.750 (64.772)
Epoch: [24][6750/14090]	Time 0.838 (0.765)	Data 0.001 (0.001)	Loss 2.5510 (2.7519)	Prec@1 38.281 (34.385)	Prec@5 67.969 (64.773)
Epoch: [24][6760/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.8587 (2.7519)	Prec@1 30.469 (34.385)	Prec@5 61.719 (64.770)
Epoch: [24][6770/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.7441 (2.7519)	Prec@1 29.688 (34.384)	Prec@5 62.500 (64.770)
Epoch: [24][6780/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.5699 (2.7517)	Prec@1 39.062 (34.387)	Prec@5 66.406 (64.774)
Epoch: [24][6790/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.5901 (2.7516)	Prec@1 35.938 (34.388)	Prec@5 72.656 (64.777)
Epoch: [24][6800/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.7325 (2.7517)	Prec@1 35.156 (34.387)	Prec@5 63.281 (64.775)
Epoch: [24][6810/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.7691 (2.7516)	Prec@1 41.406 (34.390)	Prec@5 64.062 (64.777)
Epoch: [24][6820/14090]	Time 0.846 (0.765)	Data 0.001 (0.001)	Loss 2.8375 (2.7515)	Prec@1 27.344 (34.391)	Prec@5 64.062 (64.779)
Epoch: [24][6830/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.8712 (2.7515)	Prec@1 31.250 (34.389)	Prec@5 64.062 (64.777)
Epoch: [24][6840/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.7306 (2.7516)	Prec@1 39.844 (34.390)	Prec@5 67.188 (64.775)
Epoch: [24][6850/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.8000 (2.7515)	Prec@1 34.375 (34.394)	Prec@5 65.625 (64.777)
Epoch: [24][6860/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.9325 (2.7516)	Prec@1 28.906 (34.393)	Prec@5 65.625 (64.775)
Epoch: [24][6870/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 2.9433 (2.7517)	Prec@1 26.562 (34.390)	Prec@5 64.844 (64.773)
Epoch: [24][6880/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.6966 (2.7516)	Prec@1 35.938 (34.391)	Prec@5 62.500 (64.776)
Epoch: [24][6890/14090]	Time 0.903 (0.765)	Data 0.001 (0.001)	Loss 3.0600 (2.7517)	Prec@1 26.562 (34.387)	Prec@5 55.469 (64.774)
Epoch: [24][6900/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 2.8918 (2.7517)	Prec@1 27.344 (34.388)	Prec@5 59.375 (64.774)
Epoch: [24][6910/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.7497 (2.7517)	Prec@1 34.375 (34.387)	Prec@5 64.844 (64.774)
Epoch: [24][6920/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.9290 (2.7518)	Prec@1 29.688 (34.389)	Prec@5 62.500 (64.773)
Epoch: [24][6930/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 3.0594 (2.7517)	Prec@1 28.906 (34.391)	Prec@5 58.594 (64.775)
Epoch: [24][6940/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.6446 (2.7518)	Prec@1 39.062 (34.392)	Prec@5 67.188 (64.773)
Epoch: [24][6950/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 2.5970 (2.7517)	Prec@1 34.375 (34.393)	Prec@5 66.406 (64.776)
Epoch: [24][6960/14090]	Time 0.910 (0.765)	Data 0.001 (0.001)	Loss 3.1009 (2.7517)	Prec@1 25.781 (34.393)	Prec@5 57.031 (64.775)
Epoch: [24][6970/14090]	Time 0.782 (0.765)	Data 0.001 (0.001)	Loss 2.8249 (2.7517)	Prec@1 32.812 (34.393)	Prec@5 62.500 (64.775)
Epoch: [24][6980/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.5570 (2.7516)	Prec@1 36.719 (34.395)	Prec@5 64.844 (64.776)
Epoch: [24][6990/14090]	Time 0.772 (0.765)	Data 0.002 (0.001)	Loss 2.7496 (2.7515)	Prec@1 31.250 (34.395)	Prec@5 67.969 (64.777)
Epoch: [24][7000/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 3.0588 (2.7516)	Prec@1 26.562 (34.391)	Prec@5 56.250 (64.775)
Epoch: [24][7010/14090]	Time 0.721 (0.765)	Data 0.001 (0.001)	Loss 2.6686 (2.7515)	Prec@1 37.500 (34.391)	Prec@5 67.188 (64.779)
Epoch: [24][7020/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.9120 (2.7515)	Prec@1 28.125 (34.391)	Prec@5 61.719 (64.777)
Epoch: [24][7030/14090]	Time 0.876 (0.765)	Data 0.001 (0.001)	Loss 2.5698 (2.7515)	Prec@1 38.281 (34.393)	Prec@5 70.312 (64.779)
Epoch: [24][7040/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.7029 (2.7515)	Prec@1 35.156 (34.395)	Prec@5 69.531 (64.780)
Epoch: [24][7050/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 2.8080 (2.7515)	Prec@1 36.719 (34.396)	Prec@5 60.156 (64.777)
Epoch: [24][7060/14090]	Time 0.789 (0.765)	Data 0.001 (0.001)	Loss 2.9188 (2.7516)	Prec@1 39.062 (34.394)	Prec@5 60.938 (64.775)
Epoch: [24][7070/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.9359 (2.7516)	Prec@1 35.938 (34.395)	Prec@5 57.812 (64.774)
Epoch: [24][7080/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.7789 (2.7517)	Prec@1 33.594 (34.394)	Prec@5 62.500 (64.772)
Epoch: [24][7090/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.8277 (2.7516)	Prec@1 34.375 (34.395)	Prec@5 64.062 (64.774)
Epoch: [24][7100/14090]	Time 0.881 (0.765)	Data 0.001 (0.001)	Loss 2.6602 (2.7516)	Prec@1 34.375 (34.395)	Prec@5 65.625 (64.774)
Epoch: [24][7110/14090]	Time 0.782 (0.765)	Data 0.001 (0.001)	Loss 2.6238 (2.7516)	Prec@1 35.156 (34.396)	Prec@5 70.312 (64.775)
Epoch: [24][7120/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.4924 (2.7516)	Prec@1 43.750 (34.396)	Prec@5 67.188 (64.775)
Epoch: [24][7130/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.6817 (2.7515)	Prec@1 29.688 (34.396)	Prec@5 61.719 (64.775)
Epoch: [24][7140/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.8702 (2.7514)	Prec@1 36.719 (34.400)	Prec@5 64.844 (64.777)
Epoch: [24][7150/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.6683 (2.7514)	Prec@1 34.375 (34.400)	Prec@5 61.719 (64.776)
Epoch: [24][7160/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.6817 (2.7513)	Prec@1 35.938 (34.400)	Prec@5 70.312 (64.777)
Epoch: [24][7170/14090]	Time 0.891 (0.765)	Data 0.001 (0.001)	Loss 2.5799 (2.7513)	Prec@1 42.188 (34.401)	Prec@5 71.875 (64.779)
Epoch: [24][7180/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 3.0164 (2.7514)	Prec@1 33.594 (34.402)	Prec@5 60.938 (64.778)
Epoch: [24][7190/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.6072 (2.7512)	Prec@1 35.938 (34.403)	Prec@5 69.531 (64.781)
Epoch: [24][7200/14090]	Time 0.771 (0.765)	Data 0.001 (0.001)	Loss 2.9847 (2.7513)	Prec@1 33.594 (34.404)	Prec@5 62.500 (64.780)
Epoch: [24][7210/14090]	Time 0.721 (0.765)	Data 0.001 (0.001)	Loss 2.5513 (2.7513)	Prec@1 36.719 (34.404)	Prec@5 68.750 (64.779)
Epoch: [24][7220/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.7720 (2.7514)	Prec@1 35.156 (34.404)	Prec@5 64.062 (64.779)
Epoch: [24][7230/14090]	Time 0.773 (0.765)	Data 0.001 (0.001)	Loss 2.5504 (2.7512)	Prec@1 34.375 (34.407)	Prec@5 67.969 (64.780)
Epoch: [24][7240/14090]	Time 0.843 (0.765)	Data 0.001 (0.001)	Loss 2.7275 (2.7513)	Prec@1 32.031 (34.405)	Prec@5 63.281 (64.779)
Epoch: [24][7250/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.6355 (2.7512)	Prec@1 35.938 (34.407)	Prec@5 67.188 (64.781)
Epoch: [24][7260/14090]	Time 0.753 (0.765)	Data 0.003 (0.001)	Loss 2.4875 (2.7512)	Prec@1 37.500 (34.407)	Prec@5 71.875 (64.781)
Epoch: [24][7270/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.6091 (2.7512)	Prec@1 32.812 (34.406)	Prec@5 67.188 (64.781)
Epoch: [24][7280/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.6992 (2.7512)	Prec@1 37.500 (34.409)	Prec@5 64.062 (64.783)
Epoch: [24][7290/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 3.0610 (2.7512)	Prec@1 28.906 (34.408)	Prec@5 64.844 (64.781)
Epoch: [24][7300/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.9067 (2.7512)	Prec@1 27.344 (34.407)	Prec@5 61.719 (64.780)
Epoch: [24][7310/14090]	Time 0.838 (0.765)	Data 0.001 (0.001)	Loss 2.5744 (2.7513)	Prec@1 36.719 (34.406)	Prec@5 70.312 (64.780)
Epoch: [24][7320/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.6264 (2.7513)	Prec@1 32.812 (34.406)	Prec@5 65.625 (64.780)
Epoch: [24][7330/14090]	Time 0.722 (0.765)	Data 0.001 (0.001)	Loss 2.8194 (2.7513)	Prec@1 38.281 (34.404)	Prec@5 60.938 (64.780)
Epoch: [24][7340/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.4528 (2.7512)	Prec@1 46.094 (34.406)	Prec@5 66.406 (64.782)
Epoch: [24][7350/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.7499 (2.7513)	Prec@1 32.031 (34.405)	Prec@5 60.156 (64.781)
Epoch: [24][7360/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 3.0027 (2.7513)	Prec@1 30.469 (34.404)	Prec@5 60.938 (64.782)
Epoch: [24][7370/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.6326 (2.7513)	Prec@1 35.156 (34.402)	Prec@5 62.500 (64.781)
Epoch: [24][7380/14090]	Time 0.858 (0.765)	Data 0.001 (0.001)	Loss 2.6954 (2.7513)	Prec@1 37.500 (34.401)	Prec@5 69.531 (64.780)
Epoch: [24][7390/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.7181 (2.7512)	Prec@1 32.031 (34.403)	Prec@5 65.625 (64.783)
Epoch: [24][7400/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.6897 (2.7513)	Prec@1 36.719 (34.403)	Prec@5 63.281 (64.781)
Epoch: [24][7410/14090]	Time 0.722 (0.765)	Data 0.001 (0.001)	Loss 2.7264 (2.7513)	Prec@1 35.156 (34.404)	Prec@5 64.844 (64.782)
Epoch: [24][7420/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.9366 (2.7514)	Prec@1 30.469 (34.403)	Prec@5 60.938 (64.779)
Epoch: [24][7430/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.7902 (2.7513)	Prec@1 36.719 (34.404)	Prec@5 66.406 (64.780)
Epoch: [24][7440/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 2.7278 (2.7514)	Prec@1 32.031 (34.404)	Prec@5 70.312 (64.779)
Epoch: [24][7450/14090]	Time 0.849 (0.765)	Data 0.001 (0.001)	Loss 2.6877 (2.7515)	Prec@1 39.844 (34.403)	Prec@5 64.844 (64.775)
Epoch: [24][7460/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.4212 (2.7514)	Prec@1 40.625 (34.406)	Prec@5 70.312 (64.776)
Epoch: [24][7470/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.8454 (2.7515)	Prec@1 37.500 (34.409)	Prec@5 64.062 (64.775)
Epoch: [24][7480/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.6898 (2.7515)	Prec@1 33.594 (34.409)	Prec@5 64.062 (64.774)
Epoch: [24][7490/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.5516 (2.7516)	Prec@1 34.375 (34.408)	Prec@5 75.000 (64.774)
Epoch: [24][7500/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.7437 (2.7515)	Prec@1 32.031 (34.410)	Prec@5 65.625 (64.774)
Epoch: [24][7510/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.9464 (2.7515)	Prec@1 33.594 (34.410)	Prec@5 60.156 (64.773)
Epoch: [24][7520/14090]	Time 0.891 (0.765)	Data 0.001 (0.001)	Loss 2.7931 (2.7515)	Prec@1 28.906 (34.409)	Prec@5 63.281 (64.772)
Epoch: [24][7530/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.9122 (2.7514)	Prec@1 39.844 (34.413)	Prec@5 65.625 (64.775)
Epoch: [24][7540/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.7435 (2.7514)	Prec@1 38.281 (34.411)	Prec@5 64.062 (64.775)
Epoch: [24][7550/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.9851 (2.7514)	Prec@1 31.250 (34.411)	Prec@5 59.375 (64.774)
Epoch: [24][7560/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.7233 (2.7515)	Prec@1 37.500 (34.407)	Prec@5 67.188 (64.773)
Epoch: [24][7570/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.5482 (2.7516)	Prec@1 41.406 (34.407)	Prec@5 66.406 (64.769)
Epoch: [24][7580/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 2.4280 (2.7516)	Prec@1 41.406 (34.407)	Prec@5 70.312 (64.771)
Epoch: [24][7590/14090]	Time 0.880 (0.765)	Data 0.001 (0.001)	Loss 2.9684 (2.7515)	Prec@1 35.156 (34.409)	Prec@5 61.719 (64.771)
Epoch: [24][7600/14090]	Time 0.772 (0.765)	Data 0.001 (0.001)	Loss 2.5680 (2.7515)	Prec@1 30.469 (34.410)	Prec@5 72.656 (64.772)
Epoch: [24][7610/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.8820 (2.7516)	Prec@1 32.031 (34.406)	Prec@5 64.844 (64.771)
Epoch: [24][7620/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.7910 (2.7515)	Prec@1 34.375 (34.407)	Prec@5 66.406 (64.774)
Epoch: [24][7630/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.6680 (2.7516)	Prec@1 37.500 (34.407)	Prec@5 68.750 (64.771)
Epoch: [24][7640/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.8044 (2.7516)	Prec@1 31.250 (34.407)	Prec@5 64.844 (64.771)
Epoch: [24][7650/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.8123 (2.7516)	Prec@1 38.281 (34.409)	Prec@5 66.406 (64.773)
Epoch: [24][7660/14090]	Time 0.843 (0.765)	Data 0.001 (0.001)	Loss 2.8729 (2.7515)	Prec@1 33.594 (34.412)	Prec@5 59.375 (64.773)
Epoch: [24][7670/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.5629 (2.7516)	Prec@1 40.625 (34.412)	Prec@5 66.406 (64.772)
Epoch: [24][7680/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.9871 (2.7516)	Prec@1 25.781 (34.411)	Prec@5 61.719 (64.773)
Epoch: [24][7690/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.8365 (2.7516)	Prec@1 28.125 (34.409)	Prec@5 60.938 (64.773)
Epoch: [24][7700/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 3.0478 (2.7517)	Prec@1 27.344 (34.408)	Prec@5 57.812 (64.772)
Epoch: [24][7710/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.8941 (2.7517)	Prec@1 28.125 (34.406)	Prec@5 60.156 (64.771)
Epoch: [24][7720/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.6177 (2.7517)	Prec@1 39.062 (34.405)	Prec@5 67.969 (64.772)
Epoch: [24][7730/14090]	Time 0.911 (0.765)	Data 0.001 (0.001)	Loss 2.4118 (2.7517)	Prec@1 38.281 (34.407)	Prec@5 74.219 (64.771)
Epoch: [24][7740/14090]	Time 0.722 (0.765)	Data 0.001 (0.001)	Loss 2.7909 (2.7516)	Prec@1 28.906 (34.410)	Prec@5 65.625 (64.771)
Epoch: [24][7750/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.7183 (2.7515)	Prec@1 35.156 (34.410)	Prec@5 67.188 (64.773)
Epoch: [24][7760/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.5690 (2.7514)	Prec@1 32.031 (34.410)	Prec@5 69.531 (64.776)
Epoch: [24][7770/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.6304 (2.7513)	Prec@1 35.156 (34.411)	Prec@5 65.625 (64.777)
Epoch: [24][7780/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.6889 (2.7514)	Prec@1 35.938 (34.412)	Prec@5 67.188 (64.776)
Epoch: [24][7790/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.9159 (2.7513)	Prec@1 28.906 (34.412)	Prec@5 64.062 (64.777)
Epoch: [24][7800/14090]	Time 0.848 (0.765)	Data 0.001 (0.001)	Loss 2.8609 (2.7514)	Prec@1 30.469 (34.410)	Prec@5 62.500 (64.775)
Epoch: [24][7810/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.7879 (2.7514)	Prec@1 36.719 (34.411)	Prec@5 64.062 (64.774)
Epoch: [24][7820/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.8354 (2.7514)	Prec@1 35.938 (34.413)	Prec@5 59.375 (64.775)
Epoch: [24][7830/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 3.0773 (2.7516)	Prec@1 25.000 (34.410)	Prec@5 57.812 (64.771)
Epoch: [24][7840/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.6987 (2.7515)	Prec@1 35.938 (34.410)	Prec@5 62.500 (64.771)
Epoch: [24][7850/14090]	Time 0.774 (0.765)	Data 0.001 (0.001)	Loss 2.8821 (2.7516)	Prec@1 32.031 (34.410)	Prec@5 57.031 (64.769)
Epoch: [24][7860/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.9135 (2.7517)	Prec@1 28.906 (34.407)	Prec@5 61.719 (64.765)
Epoch: [24][7870/14090]	Time 0.852 (0.765)	Data 0.001 (0.001)	Loss 2.7754 (2.7517)	Prec@1 30.469 (34.407)	Prec@5 63.281 (64.765)
Epoch: [24][7880/14090]	Time 0.766 (0.765)	Data 0.001 (0.001)	Loss 2.9626 (2.7516)	Prec@1 28.906 (34.407)	Prec@5 62.500 (64.766)
Epoch: [24][7890/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.8039 (2.7516)	Prec@1 38.281 (34.408)	Prec@5 61.719 (64.766)
Epoch: [24][7900/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.5959 (2.7515)	Prec@1 32.812 (34.409)	Prec@5 71.094 (64.766)
Epoch: [24][7910/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 3.0566 (2.7516)	Prec@1 25.781 (34.408)	Prec@5 57.812 (64.764)
Epoch: [24][7920/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.7201 (2.7517)	Prec@1 39.844 (34.409)	Prec@5 68.750 (64.763)
Epoch: [24][7930/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.8334 (2.7516)	Prec@1 31.250 (34.408)	Prec@5 61.719 (64.765)
Epoch: [24][7940/14090]	Time 0.859 (0.765)	Data 0.001 (0.001)	Loss 2.8521 (2.7516)	Prec@1 32.812 (34.410)	Prec@5 61.719 (64.763)
Epoch: [24][7950/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.7757 (2.7516)	Prec@1 29.688 (34.410)	Prec@5 63.281 (64.765)
Epoch: [24][7960/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.6474 (2.7515)	Prec@1 35.156 (34.410)	Prec@5 66.406 (64.767)
Epoch: [24][7970/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.9974 (2.7517)	Prec@1 31.250 (34.406)	Prec@5 64.844 (64.766)
Epoch: [24][7980/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.8601 (2.7516)	Prec@1 26.562 (34.406)	Prec@5 57.812 (64.764)
Epoch: [24][7990/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.5101 (2.7516)	Prec@1 37.500 (34.408)	Prec@5 72.656 (64.764)
Epoch: [24][8000/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.7682 (2.7515)	Prec@1 35.156 (34.410)	Prec@5 65.625 (64.766)
Epoch: [24][8010/14090]	Time 0.888 (0.765)	Data 0.001 (0.001)	Loss 2.6096 (2.7515)	Prec@1 32.812 (34.409)	Prec@5 67.969 (64.766)
Epoch: [24][8020/14090]	Time 0.777 (0.765)	Data 0.001 (0.001)	Loss 2.7514 (2.7514)	Prec@1 32.031 (34.408)	Prec@5 64.062 (64.768)
Epoch: [24][8030/14090]	Time 0.714 (0.765)	Data 0.001 (0.001)	Loss 2.8995 (2.7514)	Prec@1 35.156 (34.410)	Prec@5 63.281 (64.769)
Epoch: [24][8040/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.6340 (2.7514)	Prec@1 39.062 (34.410)	Prec@5 65.625 (64.770)
Epoch: [24][8050/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.5748 (2.7514)	Prec@1 39.844 (34.410)	Prec@5 67.969 (64.772)
Epoch: [24][8060/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.8606 (2.7515)	Prec@1 33.594 (34.409)	Prec@5 60.938 (64.771)
Epoch: [24][8070/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.6156 (2.7515)	Prec@1 35.938 (34.410)	Prec@5 67.188 (64.772)
Epoch: [24][8080/14090]	Time 0.864 (0.765)	Data 0.001 (0.001)	Loss 2.7841 (2.7515)	Prec@1 32.812 (34.409)	Prec@5 63.281 (64.769)
Epoch: [24][8090/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.8135 (2.7516)	Prec@1 32.031 (34.409)	Prec@5 64.062 (64.768)
Epoch: [24][8100/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 3.0527 (2.7516)	Prec@1 27.344 (34.407)	Prec@5 60.938 (64.766)
Epoch: [24][8110/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.7890 (2.7517)	Prec@1 37.500 (34.407)	Prec@5 66.406 (64.765)
Epoch: [24][8120/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.7201 (2.7516)	Prec@1 39.062 (34.408)	Prec@5 64.062 (64.764)
Epoch: [24][8130/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.7415 (2.7516)	Prec@1 33.594 (34.408)	Prec@5 64.844 (64.766)
Epoch: [24][8140/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.9246 (2.7516)	Prec@1 31.250 (34.409)	Prec@5 64.844 (64.766)
Epoch: [24][8150/14090]	Time 0.856 (0.765)	Data 0.001 (0.001)	Loss 2.7050 (2.7516)	Prec@1 34.375 (34.409)	Prec@5 67.969 (64.766)
Epoch: [24][8160/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.5491 (2.7516)	Prec@1 31.250 (34.407)	Prec@5 66.406 (64.765)
Epoch: [24][8170/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.7498 (2.7516)	Prec@1 36.719 (34.407)	Prec@5 64.844 (64.766)
Epoch: [24][8180/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.7376 (2.7515)	Prec@1 37.500 (34.410)	Prec@5 66.406 (64.770)
Epoch: [24][8190/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.9590 (2.7516)	Prec@1 33.594 (34.411)	Prec@5 60.938 (64.770)
Epoch: [24][8200/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.8978 (2.7516)	Prec@1 30.469 (34.412)	Prec@5 64.844 (64.770)
Epoch: [24][8210/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.8094 (2.7516)	Prec@1 36.719 (34.412)	Prec@5 64.844 (64.770)
Epoch: [24][8220/14090]	Time 0.891 (0.765)	Data 0.001 (0.001)	Loss 2.8491 (2.7516)	Prec@1 35.938 (34.412)	Prec@5 63.281 (64.770)
Epoch: [24][8230/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.7207 (2.7517)	Prec@1 28.906 (34.411)	Prec@5 60.938 (64.770)
Epoch: [24][8240/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.8072 (2.7517)	Prec@1 33.594 (34.412)	Prec@5 62.500 (64.770)
Epoch: [24][8250/14090]	Time 0.783 (0.765)	Data 0.001 (0.001)	Loss 2.5951 (2.7517)	Prec@1 35.156 (34.410)	Prec@5 70.312 (64.769)
Epoch: [24][8260/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.7317 (2.7516)	Prec@1 32.812 (34.413)	Prec@5 65.625 (64.771)
Epoch: [24][8270/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.8006 (2.7516)	Prec@1 30.469 (34.413)	Prec@5 64.844 (64.771)
Epoch: [24][8280/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.8738 (2.7516)	Prec@1 34.375 (34.413)	Prec@5 62.500 (64.772)
Epoch: [24][8290/14090]	Time 0.843 (0.765)	Data 0.001 (0.001)	Loss 2.9655 (2.7518)	Prec@1 32.812 (34.410)	Prec@5 65.625 (64.768)
Epoch: [24][8300/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 3.0006 (2.7519)	Prec@1 34.375 (34.411)	Prec@5 60.156 (64.766)
Epoch: [24][8310/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.7230 (2.7519)	Prec@1 33.594 (34.411)	Prec@5 67.188 (64.765)
Epoch: [24][8320/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.5399 (2.7519)	Prec@1 38.281 (34.412)	Prec@5 67.969 (64.766)
Epoch: [24][8330/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.8789 (2.7519)	Prec@1 33.594 (34.413)	Prec@5 62.500 (64.766)
Epoch: [24][8340/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.6084 (2.7518)	Prec@1 36.719 (34.414)	Prec@5 64.062 (64.768)
Epoch: [24][8350/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.4735 (2.7519)	Prec@1 34.375 (34.413)	Prec@5 72.656 (64.769)
Epoch: [24][8360/14090]	Time 0.873 (0.765)	Data 0.001 (0.001)	Loss 3.0151 (2.7518)	Prec@1 28.125 (34.413)	Prec@5 55.469 (64.768)
Epoch: [24][8370/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.4286 (2.7517)	Prec@1 35.938 (34.413)	Prec@5 71.875 (64.770)
Epoch: [24][8380/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.6300 (2.7518)	Prec@1 35.156 (34.413)	Prec@5 64.062 (64.768)
Epoch: [24][8390/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.5999 (2.7518)	Prec@1 35.938 (34.410)	Prec@5 70.312 (64.769)
Epoch: [24][8400/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.5457 (2.7518)	Prec@1 36.719 (34.411)	Prec@5 67.969 (64.769)
Epoch: [24][8410/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.9631 (2.7518)	Prec@1 32.812 (34.410)	Prec@5 63.281 (64.769)
Epoch: [24][8420/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.8846 (2.7519)	Prec@1 35.938 (34.411)	Prec@5 59.375 (64.767)
Epoch: [24][8430/14090]	Time 0.869 (0.765)	Data 0.001 (0.001)	Loss 2.7281 (2.7520)	Prec@1 33.594 (34.409)	Prec@5 68.750 (64.765)
Epoch: [24][8440/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.8888 (2.7519)	Prec@1 30.469 (34.408)	Prec@5 65.625 (64.767)
Epoch: [24][8450/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.7309 (2.7519)	Prec@1 36.719 (34.408)	Prec@5 62.500 (64.767)
Epoch: [24][8460/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.8086 (2.7519)	Prec@1 34.375 (34.408)	Prec@5 64.062 (64.764)
Epoch: [24][8470/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.8488 (2.7519)	Prec@1 32.031 (34.407)	Prec@5 61.719 (64.765)
Epoch: [24][8480/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.2085 (2.7519)	Prec@1 46.094 (34.410)	Prec@5 78.125 (64.766)
Epoch: [24][8490/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.8396 (2.7519)	Prec@1 35.938 (34.408)	Prec@5 61.719 (64.765)
Epoch: [24][8500/14090]	Time 0.839 (0.765)	Data 0.001 (0.001)	Loss 2.8203 (2.7520)	Prec@1 33.594 (34.408)	Prec@5 64.844 (64.766)
Epoch: [24][8510/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.8524 (2.7519)	Prec@1 28.906 (34.409)	Prec@5 62.500 (64.765)
Epoch: [24][8520/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.9154 (2.7520)	Prec@1 31.250 (34.407)	Prec@5 60.156 (64.761)
Epoch: [24][8530/14090]	Time 0.769 (0.765)	Data 0.001 (0.001)	Loss 2.8258 (2.7520)	Prec@1 31.250 (34.409)	Prec@5 60.156 (64.761)
Epoch: [24][8540/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.6763 (2.7521)	Prec@1 36.719 (34.407)	Prec@5 67.188 (64.760)
Epoch: [24][8550/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.6468 (2.7520)	Prec@1 32.812 (34.408)	Prec@5 67.969 (64.760)
Epoch: [24][8560/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.7851 (2.7521)	Prec@1 34.375 (34.407)	Prec@5 64.844 (64.758)
Epoch: [24][8570/14090]	Time 0.864 (0.765)	Data 0.001 (0.001)	Loss 2.7224 (2.7521)	Prec@1 35.156 (34.407)	Prec@5 63.281 (64.760)
Epoch: [24][8580/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.5631 (2.7520)	Prec@1 35.938 (34.408)	Prec@5 67.969 (64.760)
Epoch: [24][8590/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.7474 (2.7519)	Prec@1 29.688 (34.408)	Prec@5 66.406 (64.761)
Epoch: [24][8600/14090]	Time 0.772 (0.765)	Data 0.001 (0.001)	Loss 2.7548 (2.7520)	Prec@1 35.938 (34.406)	Prec@5 64.062 (64.761)
Epoch: [24][8610/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.5888 (2.7520)	Prec@1 39.062 (34.406)	Prec@5 65.625 (64.760)
Epoch: [24][8620/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.8809 (2.7521)	Prec@1 32.031 (34.405)	Prec@5 62.500 (64.760)
Epoch: [24][8630/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.8284 (2.7521)	Prec@1 35.938 (34.406)	Prec@5 60.156 (64.760)
Epoch: [24][8640/14090]	Time 0.841 (0.765)	Data 0.001 (0.001)	Loss 2.7702 (2.7521)	Prec@1 36.719 (34.406)	Prec@5 58.594 (64.759)
Epoch: [24][8650/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.9602 (2.7521)	Prec@1 35.156 (34.406)	Prec@5 57.812 (64.759)
Epoch: [24][8660/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.6948 (2.7521)	Prec@1 39.062 (34.406)	Prec@5 67.969 (64.759)
Epoch: [24][8670/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.7640 (2.7521)	Prec@1 29.688 (34.406)	Prec@5 65.625 (64.760)
Epoch: [24][8680/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.5740 (2.7522)	Prec@1 41.406 (34.405)	Prec@5 66.406 (64.759)
Epoch: [24][8690/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 2.7014 (2.7523)	Prec@1 36.719 (34.404)	Prec@5 62.500 (64.756)
Epoch: [24][8700/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.7532 (2.7523)	Prec@1 30.469 (34.403)	Prec@5 58.594 (64.754)
Epoch: [24][8710/14090]	Time 0.826 (0.765)	Data 0.001 (0.001)	Loss 2.6316 (2.7523)	Prec@1 36.719 (34.404)	Prec@5 67.969 (64.754)
Epoch: [24][8720/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 2.6742 (2.7523)	Prec@1 28.906 (34.402)	Prec@5 75.000 (64.755)
Epoch: [24][8730/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.6554 (2.7522)	Prec@1 35.938 (34.401)	Prec@5 65.625 (64.756)
Epoch: [24][8740/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.5705 (2.7522)	Prec@1 32.031 (34.400)	Prec@5 64.844 (64.755)
Epoch: [24][8750/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 3.1639 (2.7524)	Prec@1 29.688 (34.399)	Prec@5 57.812 (64.753)
Epoch: [24][8760/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 2.3462 (2.7523)	Prec@1 43.750 (34.402)	Prec@5 69.531 (64.756)
Epoch: [24][8770/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.7846 (2.7524)	Prec@1 35.938 (34.401)	Prec@5 64.062 (64.753)
Epoch: [24][8780/14090]	Time 0.846 (0.765)	Data 0.001 (0.001)	Loss 2.6627 (2.7523)	Prec@1 35.938 (34.401)	Prec@5 65.625 (64.753)
Epoch: [24][8790/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.9617 (2.7523)	Prec@1 34.375 (34.399)	Prec@5 58.594 (64.753)
Epoch: [24][8800/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.6713 (2.7523)	Prec@1 33.594 (34.398)	Prec@5 67.188 (64.753)
Epoch: [24][8810/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.7347 (2.7523)	Prec@1 37.500 (34.397)	Prec@5 61.719 (64.753)
Epoch: [24][8820/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.6780 (2.7523)	Prec@1 34.375 (34.398)	Prec@5 67.969 (64.755)
Epoch: [24][8830/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.4265 (2.7523)	Prec@1 34.375 (34.398)	Prec@5 71.875 (64.756)
Epoch: [24][8840/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.4554 (2.7521)	Prec@1 35.156 (34.399)	Prec@5 70.312 (64.758)
Epoch: [24][8850/14090]	Time 0.903 (0.765)	Data 0.001 (0.001)	Loss 3.1766 (2.7522)	Prec@1 28.125 (34.399)	Prec@5 60.938 (64.757)
Epoch: [24][8860/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.7109 (2.7521)	Prec@1 36.719 (34.399)	Prec@5 67.969 (64.759)
Epoch: [24][8870/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.7466 (2.7522)	Prec@1 32.031 (34.398)	Prec@5 64.062 (64.758)
Epoch: [24][8880/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.4726 (2.7522)	Prec@1 40.625 (34.398)	Prec@5 72.656 (64.758)
Epoch: [24][8890/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.7775 (2.7522)	Prec@1 31.250 (34.399)	Prec@5 64.844 (64.759)
Epoch: [24][8900/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.7314 (2.7522)	Prec@1 34.375 (34.398)	Prec@5 66.406 (64.760)
Epoch: [24][8910/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.8564 (2.7521)	Prec@1 32.031 (34.398)	Prec@5 57.031 (64.760)
Epoch: [24][8920/14090]	Time 0.888 (0.765)	Data 0.001 (0.001)	Loss 2.7179 (2.7521)	Prec@1 35.938 (34.398)	Prec@5 71.094 (64.762)
Epoch: [24][8930/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 2.7914 (2.7520)	Prec@1 35.156 (34.401)	Prec@5 62.500 (64.762)
Epoch: [24][8940/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.7657 (2.7521)	Prec@1 34.375 (34.400)	Prec@5 64.062 (64.760)
Epoch: [24][8950/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 3.0141 (2.7521)	Prec@1 25.781 (34.400)	Prec@5 58.594 (64.762)
Epoch: [24][8960/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.3605 (2.7519)	Prec@1 37.500 (34.401)	Prec@5 72.656 (64.765)
Epoch: [24][8970/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.6484 (2.7518)	Prec@1 39.062 (34.404)	Prec@5 64.844 (64.767)
Epoch: [24][8980/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.5223 (2.7517)	Prec@1 39.062 (34.406)	Prec@5 67.969 (64.769)
Epoch: [24][8990/14090]	Time 0.871 (0.765)	Data 0.001 (0.001)	Loss 2.7032 (2.7518)	Prec@1 30.469 (34.404)	Prec@5 65.625 (64.768)
Epoch: [24][9000/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.6308 (2.7518)	Prec@1 35.938 (34.405)	Prec@5 68.750 (64.768)
Epoch: [24][9010/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.6079 (2.7519)	Prec@1 38.281 (34.402)	Prec@5 69.531 (64.766)
Epoch: [24][9020/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.9147 (2.7519)	Prec@1 32.031 (34.403)	Prec@5 57.031 (64.766)
Epoch: [24][9030/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.5418 (2.7519)	Prec@1 31.250 (34.401)	Prec@5 68.750 (64.766)
Epoch: [24][9040/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.8820 (2.7519)	Prec@1 33.594 (34.401)	Prec@5 59.375 (64.764)
Epoch: [24][9050/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.4929 (2.7519)	Prec@1 39.062 (34.400)	Prec@5 69.531 (64.764)
Epoch: [24][9060/14090]	Time 0.863 (0.765)	Data 0.001 (0.001)	Loss 2.5820 (2.7518)	Prec@1 40.625 (34.402)	Prec@5 68.750 (64.766)
Epoch: [24][9070/14090]	Time 0.716 (0.765)	Data 0.001 (0.001)	Loss 3.1251 (2.7519)	Prec@1 32.812 (34.402)	Prec@5 57.812 (64.764)
Epoch: [24][9080/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.7683 (2.7519)	Prec@1 29.688 (34.402)	Prec@5 64.844 (64.764)
Epoch: [24][9090/14090]	Time 0.777 (0.765)	Data 0.001 (0.001)	Loss 2.7605 (2.7520)	Prec@1 34.375 (34.403)	Prec@5 64.062 (64.763)
Epoch: [24][9100/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.6017 (2.7519)	Prec@1 35.938 (34.403)	Prec@5 71.094 (64.762)
Epoch: [24][9110/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 3.0519 (2.7519)	Prec@1 32.031 (34.403)	Prec@5 60.938 (64.762)
Epoch: [24][9120/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.9723 (2.7519)	Prec@1 32.812 (34.402)	Prec@5 61.719 (64.761)
Epoch: [24][9130/14090]	Time 0.834 (0.765)	Data 0.001 (0.001)	Loss 3.0584 (2.7519)	Prec@1 25.781 (34.401)	Prec@5 54.688 (64.760)
Epoch: [24][9140/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.6699 (2.7518)	Prec@1 32.031 (34.403)	Prec@5 66.406 (64.761)
Epoch: [24][9150/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.8667 (2.7517)	Prec@1 32.812 (34.405)	Prec@5 63.281 (64.764)
Epoch: [24][9160/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.7635 (2.7517)	Prec@1 32.031 (34.404)	Prec@5 61.719 (64.765)
Epoch: [24][9170/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.7006 (2.7516)	Prec@1 33.594 (34.405)	Prec@5 61.719 (64.766)
Epoch: [24][9180/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.7352 (2.7516)	Prec@1 36.719 (34.407)	Prec@5 64.062 (64.769)
Epoch: [24][9190/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.6632 (2.7516)	Prec@1 32.031 (34.405)	Prec@5 64.844 (64.767)
Epoch: [24][9200/14090]	Time 0.865 (0.765)	Data 0.001 (0.001)	Loss 2.6332 (2.7517)	Prec@1 39.844 (34.403)	Prec@5 66.406 (64.766)
Epoch: [24][9210/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.8812 (2.7518)	Prec@1 32.031 (34.403)	Prec@5 63.281 (64.767)
Epoch: [24][9220/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.7513 (2.7517)	Prec@1 34.375 (34.402)	Prec@5 60.156 (64.768)
Epoch: [24][9230/14090]	Time 0.773 (0.765)	Data 0.001 (0.001)	Loss 2.5887 (2.7517)	Prec@1 35.156 (34.403)	Prec@5 63.281 (64.769)
Epoch: [24][9240/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.6070 (2.7517)	Prec@1 42.188 (34.403)	Prec@5 73.438 (64.770)
Epoch: [24][9250/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 2.6651 (2.7517)	Prec@1 38.281 (34.403)	Prec@5 63.281 (64.768)
Epoch: [24][9260/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.6970 (2.7517)	Prec@1 33.594 (34.405)	Prec@5 62.500 (64.767)
Epoch: [24][9270/14090]	Time 0.860 (0.765)	Data 0.001 (0.001)	Loss 2.7595 (2.7518)	Prec@1 39.062 (34.404)	Prec@5 66.406 (64.766)
Epoch: [24][9280/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.8804 (2.7518)	Prec@1 29.688 (34.402)	Prec@5 63.281 (64.767)
Epoch: [24][9290/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.6083 (2.7518)	Prec@1 35.938 (34.405)	Prec@5 67.969 (64.767)
Epoch: [24][9300/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.6070 (2.7517)	Prec@1 39.062 (34.408)	Prec@5 63.281 (64.768)
Epoch: [24][9310/14090]	Time 0.766 (0.765)	Data 0.001 (0.001)	Loss 2.5781 (2.7518)	Prec@1 35.938 (34.409)	Prec@5 68.750 (64.768)
Epoch: [24][9320/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.8053 (2.7518)	Prec@1 32.031 (34.407)	Prec@5 64.844 (64.768)
Epoch: [24][9330/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.7336 (2.7517)	Prec@1 32.031 (34.409)	Prec@5 67.969 (64.769)
Epoch: [24][9340/14090]	Time 0.868 (0.765)	Data 0.001 (0.001)	Loss 2.6109 (2.7516)	Prec@1 30.469 (34.410)	Prec@5 70.312 (64.771)
Epoch: [24][9350/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 3.2640 (2.7517)	Prec@1 28.906 (34.409)	Prec@5 54.688 (64.771)
Epoch: [24][9360/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.6259 (2.7517)	Prec@1 29.688 (34.409)	Prec@5 69.531 (64.771)
Epoch: [24][9370/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.3496 (2.7517)	Prec@1 43.750 (34.408)	Prec@5 75.000 (64.770)
Epoch: [24][9380/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.8678 (2.7517)	Prec@1 28.125 (34.407)	Prec@5 59.375 (64.771)
Epoch: [24][9390/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.6513 (2.7517)	Prec@1 35.156 (34.407)	Prec@5 67.188 (64.770)
Epoch: [24][9400/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.9343 (2.7517)	Prec@1 30.469 (34.407)	Prec@5 62.500 (64.770)
Epoch: [24][9410/14090]	Time 0.871 (0.765)	Data 0.001 (0.001)	Loss 2.7158 (2.7518)	Prec@1 35.156 (34.405)	Prec@5 63.281 (64.769)
Epoch: [24][9420/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 3.0372 (2.7520)	Prec@1 29.688 (34.402)	Prec@5 61.719 (64.766)
Epoch: [24][9430/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.6138 (2.7518)	Prec@1 35.156 (34.403)	Prec@5 68.750 (64.769)
Epoch: [24][9440/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.7345 (2.7518)	Prec@1 39.844 (34.405)	Prec@5 67.188 (64.770)
Epoch: [24][9450/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.5356 (2.7517)	Prec@1 35.938 (34.406)	Prec@5 66.406 (64.771)
Epoch: [24][9460/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.7343 (2.7517)	Prec@1 32.031 (34.404)	Prec@5 64.844 (64.769)
Epoch: [24][9470/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.8181 (2.7517)	Prec@1 32.812 (34.405)	Prec@5 63.281 (64.771)
Epoch: [24][9480/14090]	Time 0.842 (0.765)	Data 0.001 (0.001)	Loss 2.9082 (2.7518)	Prec@1 27.344 (34.404)	Prec@5 64.844 (64.771)
Epoch: [24][9490/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 3.0433 (2.7520)	Prec@1 24.219 (34.398)	Prec@5 64.844 (64.765)
Epoch: [24][9500/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 2.8976 (2.7520)	Prec@1 26.562 (34.398)	Prec@5 61.719 (64.764)
Epoch: [24][9510/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 3.0550 (2.7522)	Prec@1 27.344 (34.394)	Prec@5 59.375 (64.761)
Epoch: [24][9520/14090]	Time 0.766 (0.765)	Data 0.001 (0.001)	Loss 2.8142 (2.7522)	Prec@1 28.906 (34.392)	Prec@5 57.812 (64.760)
Epoch: [24][9530/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.7596 (2.7522)	Prec@1 35.938 (34.392)	Prec@5 60.156 (64.760)
Epoch: [24][9540/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.9150 (2.7522)	Prec@1 28.125 (34.391)	Prec@5 60.938 (64.758)
Epoch: [24][9550/14090]	Time 0.870 (0.765)	Data 0.001 (0.001)	Loss 2.6686 (2.7523)	Prec@1 29.688 (34.388)	Prec@5 67.969 (64.758)
Epoch: [24][9560/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.8259 (2.7523)	Prec@1 33.594 (34.390)	Prec@5 67.188 (64.757)
Epoch: [24][9570/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 3.0563 (2.7523)	Prec@1 30.469 (34.392)	Prec@5 61.719 (64.759)
Epoch: [24][9580/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.7603 (2.7523)	Prec@1 32.031 (34.389)	Prec@5 60.938 (64.758)
Epoch: [24][9590/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.6965 (2.7523)	Prec@1 34.375 (34.388)	Prec@5 63.281 (64.757)
Epoch: [24][9600/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.5186 (2.7524)	Prec@1 40.625 (34.388)	Prec@5 66.406 (64.755)
Epoch: [24][9610/14090]	Time 0.721 (0.765)	Data 0.001 (0.001)	Loss 2.8383 (2.7524)	Prec@1 25.000 (34.388)	Prec@5 62.500 (64.754)
Epoch: [24][9620/14090]	Time 0.837 (0.765)	Data 0.001 (0.001)	Loss 2.7077 (2.7524)	Prec@1 37.500 (34.389)	Prec@5 60.156 (64.753)
Epoch: [24][9630/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 3.1141 (2.7523)	Prec@1 23.438 (34.391)	Prec@5 57.812 (64.757)
Epoch: [24][9640/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.8370 (2.7523)	Prec@1 31.250 (34.389)	Prec@5 62.500 (64.756)
Epoch: [24][9650/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.9478 (2.7524)	Prec@1 24.219 (34.388)	Prec@5 60.156 (64.754)
Epoch: [24][9660/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 3.1831 (2.7524)	Prec@1 28.125 (34.388)	Prec@5 53.906 (64.754)
Epoch: [24][9670/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.6106 (2.7523)	Prec@1 31.250 (34.389)	Prec@5 67.188 (64.756)
Epoch: [24][9680/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.9155 (2.7523)	Prec@1 29.688 (34.389)	Prec@5 60.938 (64.756)
Epoch: [24][9690/14090]	Time 0.906 (0.765)	Data 0.001 (0.001)	Loss 2.9571 (2.7523)	Prec@1 28.906 (34.390)	Prec@5 60.156 (64.754)
Epoch: [24][9700/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.8395 (2.7524)	Prec@1 30.469 (34.387)	Prec@5 64.062 (64.755)
Epoch: [24][9710/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.7862 (2.7524)	Prec@1 35.938 (34.387)	Prec@5 61.719 (64.756)
Epoch: [24][9720/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.7308 (2.7524)	Prec@1 34.375 (34.388)	Prec@5 60.938 (64.754)
Epoch: [24][9730/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.7619 (2.7524)	Prec@1 31.250 (34.387)	Prec@5 70.312 (64.755)
Epoch: [24][9740/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.8659 (2.7524)	Prec@1 27.344 (34.388)	Prec@5 62.500 (64.754)
Epoch: [24][9750/14090]	Time 0.775 (0.765)	Data 0.001 (0.001)	Loss 2.8889 (2.7525)	Prec@1 33.594 (34.386)	Prec@5 61.719 (64.752)
Epoch: [24][9760/14090]	Time 0.837 (0.765)	Data 0.002 (0.001)	Loss 2.7894 (2.7525)	Prec@1 36.719 (34.387)	Prec@5 62.500 (64.753)
Epoch: [24][9770/14090]	Time 0.772 (0.765)	Data 0.002 (0.001)	Loss 2.5607 (2.7525)	Prec@1 39.844 (34.389)	Prec@5 70.312 (64.754)
Epoch: [24][9780/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.8970 (2.7525)	Prec@1 32.031 (34.389)	Prec@5 60.938 (64.753)
Epoch: [24][9790/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.4302 (2.7525)	Prec@1 39.844 (34.389)	Prec@5 70.312 (64.753)
Epoch: [24][9800/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.5950 (2.7524)	Prec@1 34.375 (34.390)	Prec@5 73.438 (64.754)
Epoch: [24][9810/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.9941 (2.7525)	Prec@1 31.250 (34.388)	Prec@5 58.594 (64.752)
Epoch: [24][9820/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.3323 (2.7524)	Prec@1 40.625 (34.390)	Prec@5 70.312 (64.752)
Epoch: [24][9830/14090]	Time 0.879 (0.765)	Data 0.001 (0.001)	Loss 2.7689 (2.7524)	Prec@1 39.062 (34.393)	Prec@5 63.281 (64.753)
Epoch: [24][9840/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.6299 (2.7524)	Prec@1 35.938 (34.393)	Prec@5 68.750 (64.753)
Epoch: [24][9850/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.9189 (2.7524)	Prec@1 25.781 (34.393)	Prec@5 61.719 (64.752)
Epoch: [24][9860/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.8655 (2.7524)	Prec@1 33.594 (34.394)	Prec@5 61.719 (64.752)
Epoch: [24][9870/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.6562 (2.7524)	Prec@1 35.156 (34.395)	Prec@5 63.281 (64.752)
Epoch: [24][9880/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.4581 (2.7524)	Prec@1 35.156 (34.394)	Prec@5 69.531 (64.752)
Epoch: [24][9890/14090]	Time 0.722 (0.765)	Data 0.001 (0.001)	Loss 2.6224 (2.7524)	Prec@1 34.375 (34.392)	Prec@5 71.875 (64.753)
Epoch: [24][9900/14090]	Time 0.892 (0.765)	Data 0.001 (0.001)	Loss 2.8538 (2.7524)	Prec@1 28.125 (34.391)	Prec@5 65.625 (64.753)
Epoch: [24][9910/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.6124 (2.7523)	Prec@1 37.500 (34.393)	Prec@5 66.406 (64.754)
Epoch: [24][9920/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.5238 (2.7522)	Prec@1 38.281 (34.395)	Prec@5 67.969 (64.755)
Epoch: [24][9930/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.6951 (2.7521)	Prec@1 37.500 (34.397)	Prec@5 64.844 (64.757)
Epoch: [24][9940/14090]	Time 0.776 (0.765)	Data 0.001 (0.001)	Loss 2.7811 (2.7521)	Prec@1 34.375 (34.399)	Prec@5 60.156 (64.757)
Epoch: [24][9950/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 3.0522 (2.7521)	Prec@1 30.469 (34.396)	Prec@5 59.375 (64.757)
Epoch: [24][9960/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.8572 (2.7522)	Prec@1 31.250 (34.396)	Prec@5 60.156 (64.754)
Epoch: [24][9970/14090]	Time 0.887 (0.765)	Data 0.001 (0.001)	Loss 2.8344 (2.7522)	Prec@1 35.156 (34.398)	Prec@5 66.406 (64.754)
Epoch: [24][9980/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.4896 (2.7522)	Prec@1 36.719 (34.398)	Prec@5 75.000 (64.756)
Epoch: [24][9990/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 3.2562 (2.7521)	Prec@1 26.562 (34.399)	Prec@5 55.469 (64.756)
Epoch: [24][10000/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 2.9829 (2.7522)	Prec@1 29.688 (34.400)	Prec@5 57.812 (64.754)
Epoch: [24][10010/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.6609 (2.7522)	Prec@1 39.062 (34.400)	Prec@5 67.188 (64.755)
Epoch: [24][10020/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.7453 (2.7522)	Prec@1 37.500 (34.399)	Prec@5 65.625 (64.755)
Epoch: [24][10030/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.7271 (2.7523)	Prec@1 38.281 (34.398)	Prec@5 65.625 (64.754)
Epoch: [24][10040/14090]	Time 0.831 (0.765)	Data 0.001 (0.001)	Loss 2.6588 (2.7523)	Prec@1 39.062 (34.399)	Prec@5 64.062 (64.754)
Epoch: [24][10050/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.6247 (2.7522)	Prec@1 30.469 (34.400)	Prec@5 72.656 (64.755)
Epoch: [24][10060/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.6083 (2.7522)	Prec@1 36.719 (34.401)	Prec@5 65.625 (64.756)
Epoch: [24][10070/14090]	Time 0.789 (0.765)	Data 0.001 (0.001)	Loss 2.5386 (2.7522)	Prec@1 41.406 (34.403)	Prec@5 66.406 (64.756)
Epoch: [24][10080/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.7952 (2.7523)	Prec@1 33.594 (34.402)	Prec@5 64.062 (64.754)
Epoch: [24][10090/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.8236 (2.7523)	Prec@1 25.781 (34.401)	Prec@5 63.281 (64.754)
Epoch: [24][10100/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.9821 (2.7524)	Prec@1 28.906 (34.400)	Prec@5 60.938 (64.752)
Epoch: [24][10110/14090]	Time 0.853 (0.765)	Data 0.001 (0.001)	Loss 2.6953 (2.7525)	Prec@1 34.375 (34.399)	Prec@5 60.938 (64.751)
Epoch: [24][10120/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.6736 (2.7525)	Prec@1 38.281 (34.399)	Prec@5 65.625 (64.750)
Epoch: [24][10130/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 3.0147 (2.7524)	Prec@1 26.562 (34.399)	Prec@5 59.375 (64.752)
Epoch: [24][10140/14090]	Time 0.774 (0.765)	Data 0.001 (0.001)	Loss 2.5942 (2.7525)	Prec@1 36.719 (34.398)	Prec@5 65.625 (64.751)
Epoch: [24][10150/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.5534 (2.7524)	Prec@1 35.938 (34.398)	Prec@5 72.656 (64.753)
Epoch: [24][10160/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.8079 (2.7524)	Prec@1 35.938 (34.399)	Prec@5 64.844 (64.752)
Epoch: [24][10170/14090]	Time 0.766 (0.765)	Data 0.001 (0.001)	Loss 2.5482 (2.7524)	Prec@1 37.500 (34.399)	Prec@5 69.531 (64.752)
Epoch: [24][10180/14090]	Time 0.883 (0.765)	Data 0.001 (0.001)	Loss 2.6021 (2.7524)	Prec@1 40.625 (34.400)	Prec@5 67.188 (64.753)
Epoch: [24][10190/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.4767 (2.7523)	Prec@1 45.312 (34.404)	Prec@5 70.312 (64.754)
Epoch: [24][10200/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.6260 (2.7522)	Prec@1 34.375 (34.405)	Prec@5 62.500 (64.754)
Epoch: [24][10210/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.7371 (2.7522)	Prec@1 36.719 (34.407)	Prec@5 64.062 (64.752)
Epoch: [24][10220/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.7390 (2.7523)	Prec@1 35.938 (34.405)	Prec@5 66.406 (64.752)
Epoch: [24][10230/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.7272 (2.7523)	Prec@1 32.031 (34.405)	Prec@5 63.281 (64.752)
Epoch: [24][10240/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.7860 (2.7523)	Prec@1 41.406 (34.405)	Prec@5 63.281 (64.750)
Epoch: [24][10250/14090]	Time 0.908 (0.765)	Data 0.001 (0.001)	Loss 2.9401 (2.7524)	Prec@1 30.469 (34.404)	Prec@5 62.500 (64.749)
Epoch: [24][10260/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.7431 (2.7524)	Prec@1 40.625 (34.402)	Prec@5 64.844 (64.749)
Epoch: [24][10270/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.7316 (2.7523)	Prec@1 30.469 (34.404)	Prec@5 65.625 (64.750)
Epoch: [24][10280/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.9123 (2.7523)	Prec@1 27.344 (34.402)	Prec@5 58.594 (64.749)
Epoch: [24][10290/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.6988 (2.7524)	Prec@1 33.594 (34.401)	Prec@5 64.062 (64.747)
Epoch: [24][10300/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.7354 (2.7524)	Prec@1 35.938 (34.402)	Prec@5 62.500 (64.746)
Epoch: [24][10310/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.8666 (2.7525)	Prec@1 35.156 (34.401)	Prec@5 63.281 (64.743)
Epoch: [24][10320/14090]	Time 0.881 (0.765)	Data 0.001 (0.001)	Loss 2.7613 (2.7525)	Prec@1 32.031 (34.402)	Prec@5 60.156 (64.743)
Epoch: [24][10330/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.9033 (2.7525)	Prec@1 31.250 (34.402)	Prec@5 64.062 (64.742)
Epoch: [24][10340/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 3.0315 (2.7526)	Prec@1 29.688 (34.401)	Prec@5 60.156 (64.741)
Epoch: [24][10350/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.4176 (2.7525)	Prec@1 40.625 (34.401)	Prec@5 70.312 (64.742)
Epoch: [24][10360/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.6803 (2.7526)	Prec@1 35.156 (34.400)	Prec@5 64.062 (64.742)
Epoch: [24][10370/14090]	Time 0.722 (0.765)	Data 0.001 (0.001)	Loss 2.5468 (2.7526)	Prec@1 39.062 (34.398)	Prec@5 69.531 (64.740)
Epoch: [24][10380/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.7625 (2.7527)	Prec@1 39.844 (34.398)	Prec@5 65.625 (64.739)
Epoch: [24][10390/14090]	Time 0.887 (0.765)	Data 0.001 (0.001)	Loss 2.7844 (2.7528)	Prec@1 33.594 (34.396)	Prec@5 62.500 (64.737)
Epoch: [24][10400/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.6467 (2.7527)	Prec@1 32.812 (34.398)	Prec@5 66.406 (64.738)
Epoch: [24][10410/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.7208 (2.7528)	Prec@1 34.375 (34.398)	Prec@5 67.188 (64.738)
Epoch: [24][10420/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.3911 (2.7527)	Prec@1 39.844 (34.398)	Prec@5 69.531 (64.740)
Epoch: [24][10430/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 2.7643 (2.7527)	Prec@1 39.062 (34.398)	Prec@5 64.062 (64.739)
Epoch: [24][10440/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.9218 (2.7527)	Prec@1 31.250 (34.397)	Prec@5 62.500 (64.740)
Epoch: [24][10450/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.9159 (2.7527)	Prec@1 31.250 (34.396)	Prec@5 60.938 (64.740)
Epoch: [24][10460/14090]	Time 0.870 (0.765)	Data 0.001 (0.001)	Loss 2.7633 (2.7527)	Prec@1 32.031 (34.395)	Prec@5 64.844 (64.740)
Epoch: [24][10470/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.6519 (2.7526)	Prec@1 38.281 (34.399)	Prec@5 67.969 (64.741)
Epoch: [24][10480/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.5544 (2.7526)	Prec@1 35.938 (34.399)	Prec@5 65.625 (64.741)
Epoch: [24][10490/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.9031 (2.7526)	Prec@1 36.719 (34.398)	Prec@5 61.719 (64.741)
Epoch: [24][10500/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.8111 (2.7526)	Prec@1 32.031 (34.398)	Prec@5 62.500 (64.741)
Epoch: [24][10510/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.7004 (2.7526)	Prec@1 29.688 (34.397)	Prec@5 68.750 (64.742)
Epoch: [24][10520/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.7609 (2.7526)	Prec@1 33.594 (34.397)	Prec@5 64.844 (64.743)
Epoch: [24][10530/14090]	Time 0.868 (0.765)	Data 0.001 (0.001)	Loss 2.9042 (2.7526)	Prec@1 30.469 (34.397)	Prec@5 61.719 (64.743)
Epoch: [24][10540/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 2.5364 (2.7526)	Prec@1 39.062 (34.397)	Prec@5 66.406 (64.743)
Epoch: [24][10550/14090]	Time 0.722 (0.765)	Data 0.001 (0.001)	Loss 2.7656 (2.7526)	Prec@1 32.812 (34.396)	Prec@5 59.375 (64.743)
Epoch: [24][10560/14090]	Time 0.766 (0.765)	Data 0.001 (0.001)	Loss 2.8972 (2.7526)	Prec@1 35.156 (34.397)	Prec@5 60.938 (64.743)
Epoch: [24][10570/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.7175 (2.7526)	Prec@1 28.906 (34.396)	Prec@5 68.750 (64.743)
Epoch: [24][10580/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.5043 (2.7526)	Prec@1 39.844 (34.395)	Prec@5 67.969 (64.742)
Epoch: [24][10590/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.5814 (2.7526)	Prec@1 35.156 (34.395)	Prec@5 69.531 (64.743)
Epoch: [24][10600/14090]	Time 0.916 (0.765)	Data 0.001 (0.001)	Loss 3.0559 (2.7527)	Prec@1 26.562 (34.392)	Prec@5 63.281 (64.742)
Epoch: [24][10610/14090]	Time 0.777 (0.765)	Data 0.001 (0.001)	Loss 2.9102 (2.7527)	Prec@1 34.375 (34.392)	Prec@5 64.844 (64.741)
Epoch: [24][10620/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.8882 (2.7527)	Prec@1 32.031 (34.391)	Prec@5 60.938 (64.739)
Epoch: [24][10630/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.6981 (2.7527)	Prec@1 35.156 (34.392)	Prec@5 67.969 (64.738)
Epoch: [24][10640/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.8780 (2.7527)	Prec@1 35.938 (34.393)	Prec@5 58.594 (64.738)
Epoch: [24][10650/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.4938 (2.7528)	Prec@1 40.625 (34.393)	Prec@5 68.750 (64.737)
Epoch: [24][10660/14090]	Time 0.792 (0.765)	Data 0.001 (0.001)	Loss 2.7313 (2.7527)	Prec@1 39.062 (34.393)	Prec@5 63.281 (64.739)
Epoch: [24][10670/14090]	Time 0.896 (0.765)	Data 0.001 (0.001)	Loss 2.7079 (2.7527)	Prec@1 36.719 (34.394)	Prec@5 68.750 (64.739)
Epoch: [24][10680/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 2.6203 (2.7527)	Prec@1 33.594 (34.394)	Prec@5 64.844 (64.738)
Epoch: [24][10690/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.4437 (2.7526)	Prec@1 39.062 (34.396)	Prec@5 71.875 (64.740)
Epoch: [24][10700/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.7000 (2.7525)	Prec@1 32.812 (34.397)	Prec@5 64.062 (64.741)
Epoch: [24][10710/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.7520 (2.7525)	Prec@1 31.250 (34.394)	Prec@5 64.844 (64.740)
Epoch: [24][10720/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.8186 (2.7525)	Prec@1 32.812 (34.395)	Prec@5 64.062 (64.741)
Epoch: [24][10730/14090]	Time 0.754 (0.765)	Data 0.002 (0.001)	Loss 2.9165 (2.7525)	Prec@1 28.906 (34.394)	Prec@5 56.250 (64.741)
Epoch: [24][10740/14090]	Time 0.856 (0.765)	Data 0.001 (0.001)	Loss 2.7729 (2.7525)	Prec@1 34.375 (34.394)	Prec@5 68.750 (64.742)
Epoch: [24][10750/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.9689 (2.7525)	Prec@1 29.688 (34.393)	Prec@5 60.938 (64.742)
Epoch: [24][10760/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.7646 (2.7525)	Prec@1 34.375 (34.391)	Prec@5 62.500 (64.742)
Epoch: [24][10770/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.7965 (2.7525)	Prec@1 29.688 (34.394)	Prec@5 56.250 (64.743)
Epoch: [24][10780/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 3.0415 (2.7525)	Prec@1 32.812 (34.394)	Prec@5 60.938 (64.741)
Epoch: [24][10790/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.6598 (2.7525)	Prec@1 35.156 (34.393)	Prec@5 67.969 (64.740)
Epoch: [24][10800/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 2.6993 (2.7526)	Prec@1 32.031 (34.390)	Prec@5 64.062 (64.740)
Epoch: [24][10810/14090]	Time 0.923 (0.765)	Data 0.001 (0.001)	Loss 2.7763 (2.7526)	Prec@1 33.594 (34.390)	Prec@5 64.062 (64.739)
Epoch: [24][10820/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.7191 (2.7526)	Prec@1 31.250 (34.388)	Prec@5 65.625 (64.739)
Epoch: [24][10830/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.9046 (2.7526)	Prec@1 31.250 (34.388)	Prec@5 62.500 (64.739)
Epoch: [24][10840/14090]	Time 0.766 (0.765)	Data 0.001 (0.001)	Loss 2.8311 (2.7526)	Prec@1 35.938 (34.389)	Prec@5 62.500 (64.741)
Epoch: [24][10850/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.7898 (2.7525)	Prec@1 32.031 (34.389)	Prec@5 65.625 (64.742)
Epoch: [24][10860/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.9555 (2.7525)	Prec@1 32.812 (34.389)	Prec@5 64.062 (64.741)
Epoch: [24][10870/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.6965 (2.7526)	Prec@1 39.844 (34.389)	Prec@5 62.500 (64.741)
Epoch: [24][10880/14090]	Time 0.832 (0.765)	Data 0.001 (0.001)	Loss 2.7719 (2.7526)	Prec@1 30.469 (34.388)	Prec@5 64.062 (64.741)
Epoch: [24][10890/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.8007 (2.7525)	Prec@1 32.031 (34.389)	Prec@5 59.375 (64.743)
Epoch: [24][10900/14090]	Time 0.720 (0.765)	Data 0.001 (0.001)	Loss 2.9724 (2.7526)	Prec@1 28.125 (34.387)	Prec@5 64.062 (64.742)
Epoch: [24][10910/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.8736 (2.7526)	Prec@1 31.250 (34.386)	Prec@5 68.750 (64.742)
Epoch: [24][10920/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.8379 (2.7526)	Prec@1 35.156 (34.385)	Prec@5 61.719 (64.741)
Epoch: [24][10930/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.8332 (2.7526)	Prec@1 28.125 (34.382)	Prec@5 64.062 (64.741)
Epoch: [24][10940/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.6796 (2.7526)	Prec@1 33.594 (34.380)	Prec@5 69.531 (64.740)
Epoch: [24][10950/14090]	Time 0.887 (0.765)	Data 0.001 (0.001)	Loss 2.6517 (2.7526)	Prec@1 36.719 (34.380)	Prec@5 67.188 (64.741)
Epoch: [24][10960/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 3.1918 (2.7526)	Prec@1 31.250 (34.381)	Prec@5 58.594 (64.741)
Epoch: [24][10970/14090]	Time 0.722 (0.765)	Data 0.001 (0.001)	Loss 2.9919 (2.7527)	Prec@1 32.812 (34.381)	Prec@5 59.375 (64.741)
Epoch: [24][10980/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.6821 (2.7526)	Prec@1 30.469 (34.382)	Prec@5 64.062 (64.742)
Epoch: [24][10990/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 2.4242 (2.7526)	Prec@1 42.188 (34.383)	Prec@5 72.656 (64.743)
Epoch: [24][11000/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.7353 (2.7526)	Prec@1 35.938 (34.383)	Prec@5 64.062 (64.743)
Epoch: [24][11010/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.6883 (2.7526)	Prec@1 30.469 (34.384)	Prec@5 65.625 (64.742)
Epoch: [24][11020/14090]	Time 0.866 (0.765)	Data 0.001 (0.001)	Loss 3.1500 (2.7528)	Prec@1 28.906 (34.382)	Prec@5 60.938 (64.740)
Epoch: [24][11030/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.7663 (2.7527)	Prec@1 33.594 (34.383)	Prec@5 61.719 (64.741)
Epoch: [24][11040/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.7861 (2.7527)	Prec@1 33.594 (34.384)	Prec@5 64.062 (64.740)
Epoch: [24][11050/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.5468 (2.7527)	Prec@1 35.938 (34.384)	Prec@5 69.531 (64.740)
Epoch: [24][11060/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.5867 (2.7527)	Prec@1 40.625 (34.383)	Prec@5 67.969 (64.740)
Epoch: [24][11070/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 2.7063 (2.7527)	Prec@1 35.156 (34.382)	Prec@5 64.062 (64.738)
Epoch: [24][11080/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.4973 (2.7527)	Prec@1 44.531 (34.382)	Prec@5 69.531 (64.739)
Epoch: [24][11090/14090]	Time 0.894 (0.765)	Data 0.001 (0.001)	Loss 2.6738 (2.7528)	Prec@1 35.938 (34.382)	Prec@5 68.750 (64.737)
Epoch: [24][11100/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.8791 (2.7527)	Prec@1 34.375 (34.383)	Prec@5 59.375 (64.737)
Epoch: [24][11110/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.7440 (2.7526)	Prec@1 32.812 (34.385)	Prec@5 66.406 (64.738)
Epoch: [24][11120/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.8785 (2.7527)	Prec@1 35.938 (34.384)	Prec@5 62.500 (64.737)
Epoch: [24][11130/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.7991 (2.7528)	Prec@1 31.250 (34.382)	Prec@5 63.281 (64.735)
Epoch: [24][11140/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.5982 (2.7528)	Prec@1 32.031 (34.381)	Prec@5 71.094 (64.736)
Epoch: [24][11150/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.7324 (2.7528)	Prec@1 26.562 (34.378)	Prec@5 67.969 (64.736)
Epoch: [24][11160/14090]	Time 0.887 (0.765)	Data 0.001 (0.001)	Loss 2.8004 (2.7528)	Prec@1 35.156 (34.379)	Prec@5 65.625 (64.737)
Epoch: [24][11170/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.6469 (2.7529)	Prec@1 34.375 (34.378)	Prec@5 63.281 (64.736)
Epoch: [24][11180/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 3.0492 (2.7531)	Prec@1 29.688 (34.376)	Prec@5 59.375 (64.734)
Epoch: [24][11190/14090]	Time 0.775 (0.765)	Data 0.001 (0.001)	Loss 2.6301 (2.7530)	Prec@1 35.938 (34.376)	Prec@5 70.312 (64.735)
Epoch: [24][11200/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.9767 (2.7531)	Prec@1 32.031 (34.375)	Prec@5 65.625 (64.734)
Epoch: [24][11210/14090]	Time 0.721 (0.765)	Data 0.001 (0.001)	Loss 2.7748 (2.7531)	Prec@1 32.031 (34.373)	Prec@5 64.844 (64.732)
Epoch: [24][11220/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.6737 (2.7531)	Prec@1 35.938 (34.373)	Prec@5 66.406 (64.731)
Epoch: [24][11230/14090]	Time 0.856 (0.765)	Data 0.001 (0.001)	Loss 2.7290 (2.7531)	Prec@1 34.375 (34.374)	Prec@5 64.844 (64.730)
Epoch: [24][11240/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.4563 (2.7531)	Prec@1 38.281 (34.376)	Prec@5 72.656 (64.731)
Epoch: [24][11250/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.5922 (2.7531)	Prec@1 25.781 (34.374)	Prec@5 71.875 (64.731)
Epoch: [24][11260/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.5194 (2.7532)	Prec@1 41.406 (34.372)	Prec@5 70.312 (64.729)
Epoch: [24][11270/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.4049 (2.7532)	Prec@1 35.938 (34.371)	Prec@5 73.438 (64.729)
Epoch: [24][11280/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 2.6693 (2.7532)	Prec@1 37.500 (34.372)	Prec@5 67.188 (64.730)
Epoch: [24][11290/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.7074 (2.7532)	Prec@1 37.500 (34.371)	Prec@5 64.062 (64.729)
Epoch: [24][11300/14090]	Time 0.847 (0.765)	Data 0.001 (0.001)	Loss 2.9510 (2.7532)	Prec@1 35.938 (34.372)	Prec@5 60.156 (64.730)
Epoch: [24][11310/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 3.3596 (2.7532)	Prec@1 25.000 (34.371)	Prec@5 54.688 (64.730)
Epoch: [24][11320/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 2.8624 (2.7532)	Prec@1 29.688 (34.372)	Prec@5 63.281 (64.727)
Epoch: [24][11330/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.6644 (2.7532)	Prec@1 35.938 (34.372)	Prec@5 61.719 (64.727)
Epoch: [24][11340/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.7323 (2.7531)	Prec@1 33.594 (34.373)	Prec@5 63.281 (64.728)
Epoch: [24][11350/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.7363 (2.7532)	Prec@1 32.812 (34.371)	Prec@5 67.188 (64.728)
Epoch: [24][11360/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.5776 (2.7531)	Prec@1 40.625 (34.373)	Prec@5 67.188 (64.729)
Epoch: [24][11370/14090]	Time 0.879 (0.765)	Data 0.001 (0.001)	Loss 3.0801 (2.7531)	Prec@1 26.562 (34.372)	Prec@5 59.375 (64.730)
Epoch: [24][11380/14090]	Time 0.770 (0.765)	Data 0.001 (0.001)	Loss 2.8143 (2.7531)	Prec@1 34.375 (34.372)	Prec@5 59.375 (64.729)
Epoch: [24][11390/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.6326 (2.7532)	Prec@1 34.375 (34.372)	Prec@5 69.531 (64.729)
Epoch: [24][11400/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 3.0866 (2.7533)	Prec@1 25.781 (34.370)	Prec@5 53.125 (64.727)
Epoch: [24][11410/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.5390 (2.7532)	Prec@1 35.938 (34.371)	Prec@5 67.969 (64.729)
Epoch: [24][11420/14090]	Time 0.773 (0.765)	Data 0.001 (0.001)	Loss 2.6527 (2.7532)	Prec@1 36.719 (34.371)	Prec@5 69.531 (64.730)
Epoch: [24][11430/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.6549 (2.7531)	Prec@1 39.062 (34.373)	Prec@5 70.312 (64.731)
Epoch: [24][11440/14090]	Time 0.843 (0.765)	Data 0.001 (0.001)	Loss 2.7155 (2.7532)	Prec@1 30.469 (34.372)	Prec@5 65.625 (64.731)
Epoch: [24][11450/14090]	Time 0.782 (0.765)	Data 0.001 (0.001)	Loss 2.8675 (2.7532)	Prec@1 32.812 (34.373)	Prec@5 63.281 (64.731)
Epoch: [24][11460/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.5478 (2.7531)	Prec@1 33.594 (34.372)	Prec@5 66.406 (64.733)
Epoch: [24][11470/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.6773 (2.7530)	Prec@1 39.062 (34.374)	Prec@5 62.500 (64.733)
Epoch: [24][11480/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.5019 (2.7530)	Prec@1 46.875 (34.374)	Prec@5 69.531 (64.733)
Epoch: [24][11490/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.6612 (2.7531)	Prec@1 39.844 (34.374)	Prec@5 67.188 (64.732)
Epoch: [24][11500/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.8674 (2.7531)	Prec@1 30.469 (34.373)	Prec@5 60.156 (64.732)
Epoch: [24][11510/14090]	Time 0.855 (0.765)	Data 0.001 (0.001)	Loss 2.5643 (2.7531)	Prec@1 35.938 (34.372)	Prec@5 71.094 (64.731)
Epoch: [24][11520/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.6378 (2.7531)	Prec@1 34.375 (34.372)	Prec@5 65.625 (64.731)
Epoch: [24][11530/14090]	Time 0.788 (0.765)	Data 0.001 (0.001)	Loss 2.7096 (2.7531)	Prec@1 34.375 (34.372)	Prec@5 65.625 (64.731)
Epoch: [24][11540/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 3.0324 (2.7531)	Prec@1 28.906 (34.371)	Prec@5 56.250 (64.730)
Epoch: [24][11550/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.8355 (2.7531)	Prec@1 32.031 (34.370)	Prec@5 64.844 (64.729)
Epoch: [24][11560/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.9684 (2.7531)	Prec@1 32.812 (34.370)	Prec@5 60.156 (64.730)
Epoch: [24][11570/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.8509 (2.7531)	Prec@1 32.031 (34.368)	Prec@5 59.375 (64.727)
Epoch: [24][11580/14090]	Time 0.887 (0.765)	Data 0.002 (0.001)	Loss 2.7300 (2.7532)	Prec@1 33.594 (34.368)	Prec@5 65.625 (64.726)
Epoch: [24][11590/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.8989 (2.7532)	Prec@1 25.781 (34.368)	Prec@5 64.062 (64.725)
Epoch: [24][11600/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.9256 (2.7532)	Prec@1 36.719 (34.369)	Prec@5 64.062 (64.725)
Epoch: [24][11610/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.8136 (2.7532)	Prec@1 32.031 (34.367)	Prec@5 67.188 (64.726)
Epoch: [24][11620/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.9491 (2.7532)	Prec@1 32.812 (34.367)	Prec@5 64.844 (64.727)
Epoch: [24][11630/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.7161 (2.7532)	Prec@1 39.844 (34.367)	Prec@5 63.281 (64.727)
Epoch: [24][11640/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.7834 (2.7532)	Prec@1 32.812 (34.366)	Prec@5 61.719 (64.724)
Epoch: [24][11650/14090]	Time 0.857 (0.765)	Data 0.001 (0.001)	Loss 2.6638 (2.7532)	Prec@1 36.719 (34.367)	Prec@5 64.844 (64.725)
Epoch: [24][11660/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.7089 (2.7533)	Prec@1 39.062 (34.367)	Prec@5 63.281 (64.725)
Epoch: [24][11670/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.6095 (2.7533)	Prec@1 35.938 (34.365)	Prec@5 68.750 (64.724)
Epoch: [24][11680/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.9042 (2.7534)	Prec@1 34.375 (34.365)	Prec@5 67.188 (64.724)
Epoch: [24][11690/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.6129 (2.7534)	Prec@1 39.062 (34.364)	Prec@5 68.750 (64.723)
Epoch: [24][11700/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.9090 (2.7534)	Prec@1 23.438 (34.363)	Prec@5 62.500 (64.721)
Epoch: [24][11710/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.6682 (2.7534)	Prec@1 35.156 (34.365)	Prec@5 62.500 (64.721)
Epoch: [24][11720/14090]	Time 0.822 (0.765)	Data 0.001 (0.001)	Loss 2.8631 (2.7535)	Prec@1 35.938 (34.364)	Prec@5 62.500 (64.719)
Epoch: [24][11730/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 2.7991 (2.7535)	Prec@1 34.375 (34.362)	Prec@5 67.969 (64.719)
Epoch: [24][11740/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.8289 (2.7536)	Prec@1 28.125 (34.361)	Prec@5 63.281 (64.717)
Epoch: [24][11750/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.7563 (2.7537)	Prec@1 32.812 (34.360)	Prec@5 61.719 (64.715)
Epoch: [24][11760/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.8129 (2.7537)	Prec@1 36.719 (34.360)	Prec@5 60.938 (64.715)
Epoch: [24][11770/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.7588 (2.7538)	Prec@1 32.031 (34.359)	Prec@5 69.531 (64.713)
Epoch: [24][11780/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.7965 (2.7539)	Prec@1 32.031 (34.357)	Prec@5 64.844 (64.711)
Epoch: [24][11790/14090]	Time 0.862 (0.765)	Data 0.001 (0.001)	Loss 2.9059 (2.7539)	Prec@1 37.500 (34.357)	Prec@5 60.938 (64.710)
Epoch: [24][11800/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.9592 (2.7539)	Prec@1 28.125 (34.357)	Prec@5 65.625 (64.712)
Epoch: [24][11810/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 2.4046 (2.7538)	Prec@1 39.844 (34.358)	Prec@5 79.688 (64.713)
Epoch: [24][11820/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.9300 (2.7538)	Prec@1 32.812 (34.358)	Prec@5 58.594 (64.713)
Epoch: [24][11830/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.7561 (2.7538)	Prec@1 32.812 (34.357)	Prec@5 66.406 (64.714)
Epoch: [24][11840/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.9156 (2.7538)	Prec@1 28.906 (34.357)	Prec@5 60.938 (64.714)
Epoch: [24][11850/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.8381 (2.7538)	Prec@1 32.812 (34.358)	Prec@5 66.406 (64.715)
Epoch: [24][11860/14090]	Time 0.839 (0.765)	Data 0.001 (0.001)	Loss 2.6696 (2.7538)	Prec@1 32.031 (34.357)	Prec@5 67.188 (64.715)
Epoch: [24][11870/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.7462 (2.7538)	Prec@1 33.594 (34.356)	Prec@5 64.062 (64.715)
Epoch: [24][11880/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.9547 (2.7538)	Prec@1 34.375 (34.356)	Prec@5 60.938 (64.716)
Epoch: [24][11890/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.5131 (2.7539)	Prec@1 36.719 (34.356)	Prec@5 71.875 (64.715)
Epoch: [24][11900/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.7566 (2.7538)	Prec@1 35.156 (34.356)	Prec@5 67.188 (64.714)
Epoch: [24][11910/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.7843 (2.7538)	Prec@1 33.594 (34.357)	Prec@5 65.625 (64.715)
Epoch: [24][11920/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.9058 (2.7539)	Prec@1 31.250 (34.356)	Prec@5 64.844 (64.713)
Epoch: [24][11930/14090]	Time 0.872 (0.765)	Data 0.001 (0.001)	Loss 2.7906 (2.7539)	Prec@1 32.812 (34.355)	Prec@5 62.500 (64.714)
Epoch: [24][11940/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.6300 (2.7539)	Prec@1 34.375 (34.355)	Prec@5 66.406 (64.713)
Epoch: [24][11950/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.7674 (2.7539)	Prec@1 32.031 (34.354)	Prec@5 66.406 (64.713)
Epoch: [24][11960/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.9641 (2.7539)	Prec@1 32.031 (34.354)	Prec@5 61.719 (64.712)
Epoch: [24][11970/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.5821 (2.7540)	Prec@1 35.938 (34.354)	Prec@5 65.625 (64.710)
Epoch: [24][11980/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.6134 (2.7540)	Prec@1 39.844 (34.353)	Prec@5 68.750 (64.709)
Epoch: [24][11990/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 3.0159 (2.7541)	Prec@1 33.594 (34.353)	Prec@5 56.250 (64.709)
Epoch: [24][12000/14090]	Time 0.895 (0.765)	Data 0.001 (0.001)	Loss 2.7724 (2.7541)	Prec@1 32.812 (34.353)	Prec@5 61.719 (64.707)
Epoch: [24][12010/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.7602 (2.7541)	Prec@1 27.344 (34.352)	Prec@5 66.406 (64.708)
Epoch: [24][12020/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 3.0198 (2.7541)	Prec@1 24.219 (34.352)	Prec@5 62.500 (64.708)
Epoch: [24][12030/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.4819 (2.7541)	Prec@1 42.188 (34.354)	Prec@5 70.312 (64.708)
Epoch: [24][12040/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.8673 (2.7541)	Prec@1 32.812 (34.354)	Prec@5 57.812 (64.707)
Epoch: [24][12050/14090]	Time 0.722 (0.765)	Data 0.001 (0.001)	Loss 2.9526 (2.7542)	Prec@1 38.281 (34.355)	Prec@5 60.938 (64.705)
Epoch: [24][12060/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.7339 (2.7541)	Prec@1 34.375 (34.357)	Prec@5 65.625 (64.706)
Epoch: [24][12070/14090]	Time 0.882 (0.765)	Data 0.001 (0.001)	Loss 2.8047 (2.7542)	Prec@1 35.156 (34.356)	Prec@5 62.500 (64.705)
Epoch: [24][12080/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.7623 (2.7542)	Prec@1 42.188 (34.356)	Prec@5 60.938 (64.704)
Epoch: [24][12090/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.5312 (2.7543)	Prec@1 36.719 (34.357)	Prec@5 64.844 (64.703)
Epoch: [24][12100/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.8249 (2.7543)	Prec@1 28.125 (34.356)	Prec@5 61.719 (64.703)
Epoch: [24][12110/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.7575 (2.7543)	Prec@1 31.250 (34.356)	Prec@5 66.406 (64.702)
Epoch: [24][12120/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.6847 (2.7542)	Prec@1 35.938 (34.357)	Prec@5 64.844 (64.702)
Epoch: [24][12130/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.8353 (2.7542)	Prec@1 31.250 (34.357)	Prec@5 68.750 (64.703)
Epoch: [24][12140/14090]	Time 0.836 (0.765)	Data 0.001 (0.001)	Loss 2.9526 (2.7543)	Prec@1 29.688 (34.356)	Prec@5 59.375 (64.703)
Epoch: [24][12150/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.7746 (2.7543)	Prec@1 39.844 (34.356)	Prec@5 67.969 (64.703)
Epoch: [24][12160/14090]	Time 0.777 (0.765)	Data 0.001 (0.001)	Loss 2.7162 (2.7542)	Prec@1 28.906 (34.357)	Prec@5 65.625 (64.706)
Epoch: [24][12170/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.6011 (2.7542)	Prec@1 38.281 (34.356)	Prec@5 69.531 (64.707)
Epoch: [24][12180/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.7644 (2.7542)	Prec@1 39.062 (34.356)	Prec@5 64.844 (64.707)
Epoch: [24][12190/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.7005 (2.7541)	Prec@1 29.688 (34.356)	Prec@5 67.969 (64.708)
Epoch: [24][12200/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 3.0482 (2.7542)	Prec@1 30.469 (34.355)	Prec@5 56.250 (64.707)
Epoch: [24][12210/14090]	Time 0.946 (0.765)	Data 0.001 (0.001)	Loss 2.6903 (2.7541)	Prec@1 39.844 (34.359)	Prec@5 65.625 (64.709)
Epoch: [24][12220/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.6444 (2.7541)	Prec@1 31.250 (34.359)	Prec@5 70.312 (64.707)
Epoch: [24][12230/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.6982 (2.7540)	Prec@1 33.594 (34.360)	Prec@5 67.188 (64.708)
Epoch: [24][12240/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.7444 (2.7541)	Prec@1 34.375 (34.359)	Prec@5 63.281 (64.705)
Epoch: [24][12250/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.6921 (2.7541)	Prec@1 36.719 (34.359)	Prec@5 67.969 (64.706)
Epoch: [24][12260/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.6973 (2.7542)	Prec@1 34.375 (34.357)	Prec@5 64.844 (64.704)
Epoch: [24][12270/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.5915 (2.7542)	Prec@1 35.938 (34.358)	Prec@5 61.719 (64.702)
Epoch: [24][12280/14090]	Time 0.833 (0.765)	Data 0.001 (0.001)	Loss 2.9997 (2.7542)	Prec@1 35.156 (34.358)	Prec@5 60.938 (64.702)
Epoch: [24][12290/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.6586 (2.7542)	Prec@1 35.938 (34.358)	Prec@5 62.500 (64.701)
Epoch: [24][12300/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 2.7665 (2.7542)	Prec@1 38.281 (34.359)	Prec@5 70.312 (64.701)
Epoch: [24][12310/14090]	Time 0.776 (0.765)	Data 0.001 (0.001)	Loss 2.5771 (2.7542)	Prec@1 37.500 (34.359)	Prec@5 66.406 (64.700)
Epoch: [24][12320/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.9363 (2.7542)	Prec@1 32.031 (34.362)	Prec@5 64.844 (64.701)
Epoch: [24][12330/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.7894 (2.7542)	Prec@1 33.594 (34.362)	Prec@5 64.844 (64.701)
Epoch: [24][12340/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.8622 (2.7541)	Prec@1 28.906 (34.363)	Prec@5 58.594 (64.703)
Epoch: [24][12350/14090]	Time 0.878 (0.765)	Data 0.001 (0.001)	Loss 3.0340 (2.7541)	Prec@1 28.125 (34.362)	Prec@5 59.375 (64.703)
Epoch: [24][12360/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.7002 (2.7540)	Prec@1 35.938 (34.363)	Prec@5 63.281 (64.702)
Epoch: [24][12370/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.4777 (2.7540)	Prec@1 36.719 (34.364)	Prec@5 71.094 (64.703)
Epoch: [24][12380/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.8628 (2.7541)	Prec@1 26.562 (34.362)	Prec@5 62.500 (64.700)
Epoch: [24][12390/14090]	Time 0.782 (0.765)	Data 0.001 (0.001)	Loss 2.8658 (2.7541)	Prec@1 26.562 (34.360)	Prec@5 62.500 (64.699)
Epoch: [24][12400/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 2.6311 (2.7541)	Prec@1 38.281 (34.360)	Prec@5 65.625 (64.701)
Epoch: [24][12410/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.7469 (2.7541)	Prec@1 33.594 (34.359)	Prec@5 67.188 (64.701)
Epoch: [24][12420/14090]	Time 0.882 (0.765)	Data 0.001 (0.001)	Loss 2.7469 (2.7541)	Prec@1 35.156 (34.359)	Prec@5 67.969 (64.702)
Epoch: [24][12430/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.8354 (2.7542)	Prec@1 31.250 (34.357)	Prec@5 62.500 (64.701)
Epoch: [24][12440/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.3661 (2.7542)	Prec@1 43.750 (34.356)	Prec@5 71.094 (64.701)
Epoch: [24][12450/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 2.5681 (2.7542)	Prec@1 33.594 (34.356)	Prec@5 71.875 (64.700)
Epoch: [24][12460/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 3.0116 (2.7543)	Prec@1 30.469 (34.355)	Prec@5 58.594 (64.698)
Epoch: [24][12470/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.9748 (2.7542)	Prec@1 27.344 (34.355)	Prec@5 56.250 (64.699)
Epoch: [24][12480/14090]	Time 0.776 (0.765)	Data 0.001 (0.001)	Loss 2.6709 (2.7542)	Prec@1 35.156 (34.354)	Prec@5 65.625 (64.700)
Epoch: [24][12490/14090]	Time 0.879 (0.765)	Data 0.001 (0.001)	Loss 2.7534 (2.7542)	Prec@1 36.719 (34.355)	Prec@5 64.844 (64.701)
Epoch: [24][12500/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.5940 (2.7542)	Prec@1 39.062 (34.355)	Prec@5 67.969 (64.702)
Epoch: [24][12510/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.6997 (2.7541)	Prec@1 39.062 (34.357)	Prec@5 67.188 (64.705)
Epoch: [24][12520/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 3.1661 (2.7542)	Prec@1 24.219 (34.354)	Prec@5 52.344 (64.703)
Epoch: [24][12530/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 3.1353 (2.7543)	Prec@1 26.562 (34.352)	Prec@5 60.156 (64.701)
Epoch: [24][12540/14090]	Time 0.773 (0.765)	Data 0.001 (0.001)	Loss 2.6205 (2.7543)	Prec@1 39.844 (34.351)	Prec@5 67.969 (64.700)
Epoch: [24][12550/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.8700 (2.7543)	Prec@1 29.688 (34.351)	Prec@5 63.281 (64.700)
Epoch: [24][12560/14090]	Time 0.862 (0.765)	Data 0.001 (0.001)	Loss 2.6282 (2.7543)	Prec@1 33.594 (34.350)	Prec@5 69.531 (64.700)
Epoch: [24][12570/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.7218 (2.7543)	Prec@1 33.594 (34.350)	Prec@5 64.062 (64.701)
Epoch: [24][12580/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.7761 (2.7544)	Prec@1 32.812 (34.349)	Prec@5 68.750 (64.699)
Epoch: [24][12590/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.9443 (2.7544)	Prec@1 29.688 (34.349)	Prec@5 58.594 (64.699)
Epoch: [24][12600/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.4413 (2.7544)	Prec@1 42.969 (34.350)	Prec@5 74.219 (64.700)
Epoch: [24][12610/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 3.0291 (2.7543)	Prec@1 28.906 (34.351)	Prec@5 57.031 (64.701)
Epoch: [24][12620/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.8707 (2.7543)	Prec@1 32.031 (34.351)	Prec@5 60.938 (64.701)
Epoch: [24][12630/14090]	Time 0.883 (0.765)	Data 0.001 (0.001)	Loss 2.9094 (2.7543)	Prec@1 32.031 (34.351)	Prec@5 61.719 (64.700)
Epoch: [24][12640/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.5897 (2.7543)	Prec@1 38.281 (34.350)	Prec@5 70.312 (64.700)
Epoch: [24][12650/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.7041 (2.7543)	Prec@1 35.156 (34.350)	Prec@5 61.719 (64.700)
Epoch: [24][12660/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.8923 (2.7544)	Prec@1 30.469 (34.348)	Prec@5 62.500 (64.699)
Epoch: [24][12670/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.7095 (2.7544)	Prec@1 37.500 (34.347)	Prec@5 64.062 (64.697)
Epoch: [24][12680/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.7155 (2.7545)	Prec@1 35.938 (34.348)	Prec@5 67.969 (64.696)
Epoch: [24][12690/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.7702 (2.7545)	Prec@1 32.812 (34.346)	Prec@5 64.062 (64.696)
Epoch: [24][12700/14090]	Time 0.861 (0.765)	Data 0.001 (0.001)	Loss 2.9140 (2.7546)	Prec@1 34.375 (34.346)	Prec@5 57.812 (64.695)
Epoch: [24][12710/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.9038 (2.7546)	Prec@1 29.688 (34.346)	Prec@5 63.281 (64.693)
Epoch: [24][12720/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 3.0390 (2.7547)	Prec@1 29.688 (34.344)	Prec@5 62.500 (64.692)
Epoch: [24][12730/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.6702 (2.7547)	Prec@1 36.719 (34.344)	Prec@5 68.750 (64.692)
Epoch: [24][12740/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.9462 (2.7548)	Prec@1 27.344 (34.342)	Prec@5 60.938 (64.692)
Epoch: [24][12750/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.8108 (2.7547)	Prec@1 28.125 (34.343)	Prec@5 60.156 (64.692)
Epoch: [24][12760/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.7401 (2.7548)	Prec@1 34.375 (34.343)	Prec@5 69.531 (64.692)
Epoch: [24][12770/14090]	Time 0.916 (0.765)	Data 0.001 (0.001)	Loss 2.6185 (2.7547)	Prec@1 41.406 (34.344)	Prec@5 67.188 (64.692)
Epoch: [24][12780/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.6909 (2.7547)	Prec@1 35.156 (34.345)	Prec@5 66.406 (64.691)
Epoch: [24][12790/14090]	Time 0.767 (0.765)	Data 0.001 (0.001)	Loss 2.8783 (2.7548)	Prec@1 33.594 (34.345)	Prec@5 64.844 (64.691)
Epoch: [24][12800/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.4150 (2.7548)	Prec@1 39.062 (34.344)	Prec@5 68.750 (64.689)
Epoch: [24][12810/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.5961 (2.7547)	Prec@1 42.969 (34.345)	Prec@5 62.500 (64.690)
Epoch: [24][12820/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.5735 (2.7547)	Prec@1 35.938 (34.345)	Prec@5 65.625 (64.690)
Epoch: [24][12830/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.6384 (2.7547)	Prec@1 38.281 (34.346)	Prec@5 64.844 (64.691)
Epoch: [24][12840/14090]	Time 0.863 (0.765)	Data 0.001 (0.001)	Loss 2.8193 (2.7548)	Prec@1 31.250 (34.343)	Prec@5 64.062 (64.688)
Epoch: [24][12850/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.7628 (2.7548)	Prec@1 34.375 (34.343)	Prec@5 65.625 (64.690)
Epoch: [24][12860/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.5178 (2.7547)	Prec@1 42.969 (34.344)	Prec@5 69.531 (64.690)
Epoch: [24][12870/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.7221 (2.7548)	Prec@1 32.031 (34.342)	Prec@5 67.969 (64.689)
Epoch: [24][12880/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.8635 (2.7549)	Prec@1 31.250 (34.341)	Prec@5 60.938 (64.687)
Epoch: [24][12890/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.8204 (2.7549)	Prec@1 32.031 (34.340)	Prec@5 61.719 (64.687)
Epoch: [24][12900/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.7617 (2.7549)	Prec@1 32.812 (34.340)	Prec@5 66.406 (64.687)
Epoch: [24][12910/14090]	Time 0.813 (0.765)	Data 0.001 (0.001)	Loss 2.9409 (2.7549)	Prec@1 30.469 (34.341)	Prec@5 62.500 (64.687)
Epoch: [24][12920/14090]	Time 0.741 (0.765)	Data 0.002 (0.001)	Loss 2.6988 (2.7549)	Prec@1 34.375 (34.341)	Prec@5 66.406 (64.687)
Epoch: [24][12930/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.9948 (2.7549)	Prec@1 29.688 (34.341)	Prec@5 61.719 (64.686)
Epoch: [24][12940/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.9833 (2.7550)	Prec@1 31.250 (34.339)	Prec@5 58.594 (64.684)
Epoch: [24][12950/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.7325 (2.7550)	Prec@1 40.625 (34.339)	Prec@5 68.750 (64.684)
Epoch: [24][12960/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.9395 (2.7550)	Prec@1 28.906 (34.340)	Prec@5 60.938 (64.683)
Epoch: [24][12970/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.8211 (2.7550)	Prec@1 36.719 (34.340)	Prec@5 57.812 (64.682)
Epoch: [24][12980/14090]	Time 0.867 (0.765)	Data 0.001 (0.001)	Loss 2.4959 (2.7550)	Prec@1 36.719 (34.338)	Prec@5 73.438 (64.683)
Epoch: [24][12990/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.7589 (2.7550)	Prec@1 33.594 (34.339)	Prec@5 67.188 (64.684)
Epoch: [24][13000/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.5893 (2.7550)	Prec@1 37.500 (34.340)	Prec@5 66.406 (64.684)
Epoch: [24][13010/14090]	Time 0.746 (0.765)	Data 0.002 (0.001)	Loss 2.7754 (2.7550)	Prec@1 35.938 (34.341)	Prec@5 65.625 (64.685)
Epoch: [24][13020/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 3.0154 (2.7549)	Prec@1 31.250 (34.342)	Prec@5 57.812 (64.686)
Epoch: [24][13030/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.7684 (2.7549)	Prec@1 31.250 (34.341)	Prec@5 70.312 (64.686)
Epoch: [24][13040/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.8731 (2.7549)	Prec@1 34.375 (34.341)	Prec@5 60.938 (64.686)
Epoch: [24][13050/14090]	Time 0.938 (0.765)	Data 0.001 (0.001)	Loss 2.7913 (2.7549)	Prec@1 32.031 (34.341)	Prec@5 58.594 (64.686)
Epoch: [24][13060/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.7130 (2.7549)	Prec@1 34.375 (34.342)	Prec@5 66.406 (64.687)
Epoch: [24][13070/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.4971 (2.7548)	Prec@1 38.281 (34.343)	Prec@5 69.531 (64.688)
Epoch: [24][13080/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.6178 (2.7549)	Prec@1 37.500 (34.341)	Prec@5 68.750 (64.687)
Epoch: [24][13090/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.7615 (2.7548)	Prec@1 26.562 (34.343)	Prec@5 69.531 (64.689)
Epoch: [24][13100/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.7528 (2.7547)	Prec@1 37.500 (34.344)	Prec@5 62.500 (64.689)
Epoch: [24][13110/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.5879 (2.7547)	Prec@1 43.750 (34.345)	Prec@5 63.281 (64.690)
Epoch: [24][13120/14090]	Time 0.826 (0.765)	Data 0.001 (0.001)	Loss 2.8537 (2.7548)	Prec@1 33.594 (34.344)	Prec@5 64.062 (64.689)
Epoch: [24][13130/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 2.7834 (2.7547)	Prec@1 32.812 (34.346)	Prec@5 65.625 (64.690)
Epoch: [24][13140/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.9342 (2.7546)	Prec@1 32.812 (34.347)	Prec@5 60.938 (64.691)
Epoch: [24][13150/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 2.9116 (2.7547)	Prec@1 33.594 (34.347)	Prec@5 61.719 (64.690)
Epoch: [24][13160/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.6146 (2.7546)	Prec@1 34.375 (34.348)	Prec@5 70.312 (64.692)
Epoch: [24][13170/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.4546 (2.7546)	Prec@1 45.312 (34.349)	Prec@5 68.750 (64.691)
Epoch: [24][13180/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.9051 (2.7546)	Prec@1 31.250 (34.347)	Prec@5 60.938 (64.689)
Epoch: [24][13190/14090]	Time 0.868 (0.765)	Data 0.001 (0.001)	Loss 3.0630 (2.7545)	Prec@1 28.906 (34.349)	Prec@5 53.125 (64.690)
Epoch: [24][13200/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.7719 (2.7546)	Prec@1 33.594 (34.347)	Prec@5 67.188 (64.690)
Epoch: [24][13210/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.7661 (2.7546)	Prec@1 35.938 (34.346)	Prec@5 61.719 (64.690)
Epoch: [24][13220/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 3.0362 (2.7545)	Prec@1 33.594 (34.347)	Prec@5 59.375 (64.691)
Epoch: [24][13230/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.5379 (2.7545)	Prec@1 35.938 (34.348)	Prec@5 70.312 (64.693)
Epoch: [24][13240/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.8799 (2.7545)	Prec@1 34.375 (34.348)	Prec@5 62.500 (64.693)
Epoch: [24][13250/14090]	Time 0.776 (0.765)	Data 0.001 (0.001)	Loss 2.6232 (2.7544)	Prec@1 42.188 (34.350)	Prec@5 70.312 (64.694)
Epoch: [24][13260/14090]	Time 0.836 (0.765)	Data 0.001 (0.001)	Loss 2.6217 (2.7544)	Prec@1 35.938 (34.351)	Prec@5 70.312 (64.695)
Epoch: [24][13270/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.7663 (2.7544)	Prec@1 28.906 (34.351)	Prec@5 63.281 (64.695)
Epoch: [24][13280/14090]	Time 0.776 (0.765)	Data 0.001 (0.001)	Loss 2.6425 (2.7543)	Prec@1 33.594 (34.352)	Prec@5 69.531 (64.696)
Epoch: [24][13290/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 3.0336 (2.7543)	Prec@1 35.156 (34.352)	Prec@5 63.281 (64.696)
Epoch: [24][13300/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.8009 (2.7543)	Prec@1 33.594 (34.352)	Prec@5 65.625 (64.698)
Epoch: [24][13310/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 3.0689 (2.7543)	Prec@1 35.938 (34.353)	Prec@5 60.156 (64.698)
Epoch: [24][13320/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.6664 (2.7543)	Prec@1 30.469 (34.353)	Prec@5 64.844 (64.698)
Epoch: [24][13330/14090]	Time 0.855 (0.765)	Data 0.001 (0.001)	Loss 2.5314 (2.7543)	Prec@1 32.812 (34.352)	Prec@5 65.625 (64.697)
Epoch: [24][13340/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.5669 (2.7543)	Prec@1 35.156 (34.350)	Prec@5 71.094 (64.697)
Epoch: [24][13350/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.7307 (2.7544)	Prec@1 32.031 (34.348)	Prec@5 63.281 (64.696)
Epoch: [24][13360/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.9369 (2.7544)	Prec@1 32.031 (34.347)	Prec@5 64.062 (64.696)
Epoch: [24][13370/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.7462 (2.7544)	Prec@1 32.812 (34.347)	Prec@5 61.719 (64.695)
Epoch: [24][13380/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.4417 (2.7544)	Prec@1 40.625 (34.348)	Prec@5 67.969 (64.696)
Epoch: [24][13390/14090]	Time 0.769 (0.765)	Data 0.001 (0.001)	Loss 2.9387 (2.7544)	Prec@1 32.812 (34.348)	Prec@5 63.281 (64.696)
Epoch: [24][13400/14090]	Time 0.844 (0.765)	Data 0.001 (0.001)	Loss 2.9501 (2.7543)	Prec@1 31.250 (34.349)	Prec@5 65.625 (64.698)
Epoch: [24][13410/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 3.0100 (2.7543)	Prec@1 28.125 (34.349)	Prec@5 60.938 (64.697)
Epoch: [24][13420/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.4608 (2.7543)	Prec@1 36.719 (34.349)	Prec@5 71.094 (64.697)
Epoch: [24][13430/14090]	Time 0.770 (0.765)	Data 0.001 (0.001)	Loss 2.6282 (2.7544)	Prec@1 39.062 (34.349)	Prec@5 66.406 (64.697)
Epoch: [24][13440/14090]	Time 0.721 (0.765)	Data 0.001 (0.001)	Loss 2.7244 (2.7543)	Prec@1 32.812 (34.350)	Prec@5 63.281 (64.696)
Epoch: [24][13450/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.6221 (2.7543)	Prec@1 36.719 (34.349)	Prec@5 67.969 (64.696)
Epoch: [24][13460/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.8340 (2.7543)	Prec@1 32.812 (34.349)	Prec@5 65.625 (64.697)
Epoch: [24][13470/14090]	Time 0.850 (0.765)	Data 0.001 (0.001)	Loss 2.7315 (2.7543)	Prec@1 29.688 (34.349)	Prec@5 66.406 (64.697)
Epoch: [24][13480/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.6487 (2.7543)	Prec@1 35.156 (34.349)	Prec@5 67.188 (64.696)
Epoch: [24][13490/14090]	Time 0.775 (0.765)	Data 0.001 (0.001)	Loss 2.6852 (2.7543)	Prec@1 37.500 (34.349)	Prec@5 64.062 (64.696)
Epoch: [24][13500/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.8309 (2.7543)	Prec@1 35.938 (34.349)	Prec@5 60.156 (64.695)
Epoch: [24][13510/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.5445 (2.7543)	Prec@1 36.719 (34.350)	Prec@5 68.750 (64.695)
Epoch: [24][13520/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.6604 (2.7544)	Prec@1 39.062 (34.349)	Prec@5 67.969 (64.693)
Epoch: [24][13530/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.6605 (2.7544)	Prec@1 39.062 (34.348)	Prec@5 64.844 (64.693)
Epoch: [24][13540/14090]	Time 0.841 (0.765)	Data 0.001 (0.001)	Loss 2.8609 (2.7544)	Prec@1 28.125 (34.347)	Prec@5 61.719 (64.692)
Epoch: [24][13550/14090]	Time 0.722 (0.765)	Data 0.001 (0.001)	Loss 2.6979 (2.7543)	Prec@1 37.500 (34.349)	Prec@5 67.188 (64.694)
Epoch: [24][13560/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.8725 (2.7543)	Prec@1 32.031 (34.348)	Prec@5 59.375 (64.694)
Epoch: [24][13570/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.7974 (2.7543)	Prec@1 34.375 (34.348)	Prec@5 60.938 (64.694)
Epoch: [24][13580/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 3.0348 (2.7543)	Prec@1 28.125 (34.346)	Prec@5 53.906 (64.693)
Epoch: [24][13590/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.6939 (2.7543)	Prec@1 31.250 (34.346)	Prec@5 65.625 (64.693)
Epoch: [24][13600/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.6382 (2.7543)	Prec@1 35.156 (34.347)	Prec@5 65.625 (64.694)
Epoch: [24][13610/14090]	Time 0.893 (0.765)	Data 0.001 (0.001)	Loss 2.6452 (2.7543)	Prec@1 34.375 (34.348)	Prec@5 69.531 (64.693)
Epoch: [24][13620/14090]	Time 0.720 (0.765)	Data 0.001 (0.001)	Loss 2.8059 (2.7544)	Prec@1 31.250 (34.348)	Prec@5 66.406 (64.693)
Epoch: [24][13630/14090]	Time 0.741 (0.765)	Data 0.002 (0.001)	Loss 2.8291 (2.7544)	Prec@1 33.594 (34.350)	Prec@5 62.500 (64.693)
Epoch: [24][13640/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.8380 (2.7544)	Prec@1 38.281 (34.348)	Prec@5 67.188 (64.693)
Epoch: [24][13650/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.7585 (2.7545)	Prec@1 34.375 (34.347)	Prec@5 63.281 (64.692)
Epoch: [24][13660/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 3.0641 (2.7545)	Prec@1 32.031 (34.347)	Prec@5 55.469 (64.692)
Epoch: [24][13670/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.7562 (2.7546)	Prec@1 33.594 (34.346)	Prec@5 70.312 (64.690)
Epoch: [24][13680/14090]	Time 0.874 (0.765)	Data 0.001 (0.001)	Loss 2.3937 (2.7545)	Prec@1 39.844 (34.347)	Prec@5 72.656 (64.693)
Epoch: [24][13690/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.6037 (2.7544)	Prec@1 39.062 (34.349)	Prec@5 68.750 (64.694)
Epoch: [24][13700/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.7762 (2.7544)	Prec@1 32.031 (34.350)	Prec@5 63.281 (64.694)
Epoch: [24][13710/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.8944 (2.7544)	Prec@1 30.469 (34.350)	Prec@5 58.594 (64.695)
Epoch: [24][13720/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.8467 (2.7544)	Prec@1 30.469 (34.350)	Prec@5 62.500 (64.694)
Epoch: [24][13730/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.7556 (2.7544)	Prec@1 37.500 (34.351)	Prec@5 67.969 (64.695)
Epoch: [24][13740/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.8153 (2.7544)	Prec@1 32.031 (34.350)	Prec@5 67.969 (64.695)
Epoch: [24][13750/14090]	Time 0.863 (0.765)	Data 0.001 (0.001)	Loss 2.7677 (2.7544)	Prec@1 32.812 (34.349)	Prec@5 68.750 (64.694)
Epoch: [24][13760/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.6347 (2.7545)	Prec@1 36.719 (34.349)	Prec@5 69.531 (64.692)
Epoch: [24][13770/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 3.1272 (2.7545)	Prec@1 25.781 (34.348)	Prec@5 59.375 (64.692)
Epoch: [24][13780/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.6273 (2.7545)	Prec@1 40.625 (34.348)	Prec@5 65.625 (64.693)
Epoch: [24][13790/14090]	Time 0.770 (0.765)	Data 0.001 (0.001)	Loss 2.4654 (2.7545)	Prec@1 43.750 (34.349)	Prec@5 72.656 (64.693)
Epoch: [24][13800/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 2.7977 (2.7544)	Prec@1 30.469 (34.350)	Prec@5 69.531 (64.693)
Epoch: [24][13810/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.9185 (2.7544)	Prec@1 28.906 (34.350)	Prec@5 57.031 (64.693)
Epoch: [24][13820/14090]	Time 0.894 (0.765)	Data 0.001 (0.001)	Loss 2.8258 (2.7543)	Prec@1 35.156 (34.350)	Prec@5 61.719 (64.695)
Epoch: [24][13830/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.6600 (2.7543)	Prec@1 38.281 (34.351)	Prec@5 64.844 (64.696)
Epoch: [24][13840/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.8528 (2.7542)	Prec@1 34.375 (34.352)	Prec@5 60.938 (64.697)
Epoch: [24][13850/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.9447 (2.7542)	Prec@1 28.125 (34.355)	Prec@5 64.062 (64.698)
Epoch: [24][13860/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.7278 (2.7542)	Prec@1 34.375 (34.355)	Prec@5 63.281 (64.697)
Epoch: [24][13870/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.7590 (2.7542)	Prec@1 30.469 (34.354)	Prec@5 71.094 (64.697)
Epoch: [24][13880/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.9807 (2.7542)	Prec@1 26.562 (34.353)	Prec@5 57.812 (64.697)
Epoch: [24][13890/14090]	Time 0.913 (0.765)	Data 0.001 (0.001)	Loss 2.5546 (2.7542)	Prec@1 35.156 (34.355)	Prec@5 69.531 (64.698)
Epoch: [24][13900/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.6469 (2.7542)	Prec@1 34.375 (34.353)	Prec@5 66.406 (64.697)
Epoch: [24][13910/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 3.1076 (2.7543)	Prec@1 22.656 (34.351)	Prec@5 54.688 (64.696)
Epoch: [24][13920/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.9568 (2.7542)	Prec@1 28.125 (34.352)	Prec@5 60.156 (64.696)
Epoch: [24][13930/14090]	Time 0.722 (0.765)	Data 0.001 (0.001)	Loss 2.7979 (2.7542)	Prec@1 31.250 (34.353)	Prec@5 65.625 (64.697)
Epoch: [24][13940/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.5157 (2.7542)	Prec@1 38.281 (34.353)	Prec@5 67.188 (64.697)
Epoch: [24][13950/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.9594 (2.7542)	Prec@1 31.250 (34.352)	Prec@5 60.938 (64.696)
Epoch: [24][13960/14090]	Time 0.821 (0.765)	Data 0.001 (0.001)	Loss 2.8144 (2.7543)	Prec@1 36.719 (34.351)	Prec@5 67.188 (64.696)
Epoch: [24][13970/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.7005 (2.7543)	Prec@1 30.469 (34.349)	Prec@5 67.969 (64.697)
Epoch: [24][13980/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.8078 (2.7543)	Prec@1 36.719 (34.348)	Prec@5 64.844 (64.696)
Epoch: [24][13990/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.5878 (2.7543)	Prec@1 41.406 (34.349)	Prec@5 65.625 (64.695)
Epoch: [24][14000/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.9551 (2.7544)	Prec@1 41.406 (34.349)	Prec@5 63.281 (64.694)
Epoch: [24][14010/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.6721 (2.7544)	Prec@1 28.906 (34.349)	Prec@5 66.406 (64.695)
Epoch: [24][14020/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.9901 (2.7544)	Prec@1 30.469 (34.348)	Prec@5 58.594 (64.694)
Epoch: [24][14030/14090]	Time 0.852 (0.765)	Data 0.001 (0.001)	Loss 2.9169 (2.7544)	Prec@1 30.469 (34.348)	Prec@5 62.500 (64.695)
Epoch: [24][14040/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.7890 (2.7544)	Prec@1 30.469 (34.347)	Prec@5 62.500 (64.694)
Epoch: [24][14050/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.6967 (2.7544)	Prec@1 35.938 (34.347)	Prec@5 66.406 (64.694)
Epoch: [24][14060/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 3.0371 (2.7544)	Prec@1 26.562 (34.347)	Prec@5 60.938 (64.693)
Epoch: [24][14070/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.9035 (2.7544)	Prec@1 34.375 (34.348)	Prec@5 57.031 (64.694)
Epoch: [24][14080/14090]	Time 0.754 (0.765)	Data 0.000 (0.001)	Loss 2.7537 (2.7544)	Prec@1 30.469 (34.347)	Prec@5 61.719 (64.694)
Test: [0/286]	Time 3.531 (3.531)	Loss 1.7894 (1.7894)	Prec@1 55.469 (55.469)	Prec@5 86.719 (86.719)
Test: [10/286]	Time 0.238 (0.603)	Loss 2.2277 (2.3442)	Prec@1 36.719 (41.974)	Prec@5 78.906 (73.366)
Test: [20/286]	Time 0.235 (0.469)	Loss 2.2385 (2.3780)	Prec@1 50.781 (40.923)	Prec@5 76.562 (73.363)
Test: [30/286]	Time 0.241 (0.413)	Loss 2.4313 (2.3695)	Prec@1 44.531 (42.213)	Prec@5 73.438 (73.085)
Test: [40/286]	Time 0.725 (0.397)	Loss 2.5159 (2.3947)	Prec@1 32.812 (40.835)	Prec@5 71.094 (72.752)
Test: [50/286]	Time 0.237 (0.381)	Loss 1.2140 (2.4069)	Prec@1 71.875 (40.579)	Prec@5 85.938 (72.687)
Test: [60/286]	Time 0.228 (0.370)	Loss 2.7749 (2.4049)	Prec@1 39.062 (41.035)	Prec@5 67.188 (72.400)
Test: [70/286]	Time 0.284 (0.362)	Loss 2.0235 (2.3719)	Prec@1 44.531 (41.252)	Prec@5 81.250 (73.052)
Test: [80/286]	Time 0.595 (0.360)	Loss 3.2852 (2.4498)	Prec@1 25.781 (40.075)	Prec@5 56.250 (71.412)
Test: [90/286]	Time 0.242 (0.353)	Loss 3.0360 (2.4719)	Prec@1 33.594 (39.543)	Prec@5 57.812 (70.974)
Test: [100/286]	Time 0.234 (0.348)	Loss 2.3558 (2.4762)	Prec@1 28.125 (39.256)	Prec@5 75.781 (70.931)
Test: [110/286]	Time 0.255 (0.344)	Loss 2.4143 (2.4983)	Prec@1 42.188 (38.753)	Prec@5 72.656 (70.629)
Test: [120/286]	Time 0.895 (0.346)	Loss 2.6748 (2.4707)	Prec@1 43.750 (39.624)	Prec@5 65.625 (70.965)
Test: [130/286]	Time 0.239 (0.342)	Loss 1.8564 (2.4691)	Prec@1 51.562 (39.575)	Prec@5 82.812 (71.076)
Test: [140/286]	Time 0.259 (0.340)	Loss 3.7006 (2.4707)	Prec@1 15.625 (39.506)	Prec@5 47.656 (71.193)
Test: [150/286]	Time 0.244 (0.338)	Loss 3.1987 (2.4705)	Prec@1 18.750 (39.026)	Prec@5 56.250 (71.156)
Test: [160/286]	Time 0.772 (0.339)	Loss 2.9465 (2.4663)	Prec@1 27.344 (39.038)	Prec@5 58.594 (71.118)
Test: [170/286]	Time 0.350 (0.337)	Loss 2.9224 (2.4700)	Prec@1 26.562 (38.994)	Prec@5 65.625 (71.021)
Test: [180/286]	Time 0.227 (0.335)	Loss 2.6336 (2.4859)	Prec@1 41.406 (38.631)	Prec@5 68.750 (70.766)
Test: [190/286]	Time 0.258 (0.334)	Loss 3.8147 (2.4928)	Prec@1 2.344 (38.527)	Prec@5 47.656 (70.734)
Test: [200/286]	Time 0.864 (0.335)	Loss 2.9498 (2.4784)	Prec@1 34.375 (38.926)	Prec@5 67.969 (70.973)
Test: [210/286]	Time 0.295 (0.334)	Loss 1.8543 (2.4880)	Prec@1 57.031 (38.692)	Prec@5 82.031 (70.798)
Test: [220/286]	Time 0.296 (0.333)	Loss 4.1368 (2.5009)	Prec@1 9.375 (38.553)	Prec@5 41.406 (70.556)
Test: [230/286]	Time 0.227 (0.331)	Loss 1.3624 (2.5075)	Prec@1 67.188 (38.498)	Prec@5 85.156 (70.394)
Test: [240/286]	Time 0.866 (0.333)	Loss 2.6110 (2.5002)	Prec@1 36.719 (38.771)	Prec@5 66.406 (70.559)
Test: [250/286]	Time 0.549 (0.333)	Loss 2.0454 (2.4914)	Prec@1 47.656 (38.779)	Prec@5 78.906 (70.845)
Test: [260/286]	Time 0.240 (0.332)	Loss 2.8008 (2.4912)	Prec@1 32.031 (38.676)	Prec@5 61.719 (70.809)
Test: [270/286]	Time 0.334 (0.331)	Loss 1.8438 (2.4905)	Prec@1 57.031 (38.656)	Prec@5 81.250 (70.921)
Test: [280/286]	Time 0.401 (0.331)	Loss 2.0020 (2.4724)	Prec@1 49.219 (39.160)	Prec@5 82.812 (71.144)
 * Prec@1 39.264 Prec@5 71.098
Epoch: [25][0/14090]	Time 5.552 (5.552)	Data 4.637 (4.637)	Loss 2.5599 (2.5599)	Prec@1 35.156 (35.156)	Prec@5 64.844 (64.844)
Epoch: [25][10/14090]	Time 0.722 (1.178)	Data 0.001 (0.422)	Loss 2.9822 (2.7233)	Prec@1 28.906 (35.298)	Prec@5 61.719 (64.205)
Epoch: [25][20/14090]	Time 0.720 (0.973)	Data 0.001 (0.222)	Loss 2.7250 (2.7338)	Prec@1 36.719 (35.603)	Prec@5 67.969 (64.732)
Epoch: [25][30/14090]	Time 0.745 (0.905)	Data 0.001 (0.150)	Loss 2.5960 (2.7316)	Prec@1 29.688 (35.181)	Prec@5 64.844 (65.121)
Epoch: [25][40/14090]	Time 0.739 (0.870)	Data 0.001 (0.114)	Loss 2.7573 (2.7341)	Prec@1 38.281 (35.518)	Prec@5 65.625 (65.053)
Epoch: [25][50/14090]	Time 0.718 (0.850)	Data 0.001 (0.092)	Loss 2.8505 (2.7320)	Prec@1 32.812 (35.279)	Prec@5 64.844 (65.135)
Epoch: [25][60/14090]	Time 0.749 (0.835)	Data 0.001 (0.077)	Loss 2.7401 (2.7300)	Prec@1 35.938 (34.951)	Prec@5 67.969 (65.113)
Epoch: [25][70/14090]	Time 0.926 (0.827)	Data 0.001 (0.066)	Loss 2.7720 (2.7415)	Prec@1 33.594 (34.705)	Prec@5 63.281 (65.020)
Epoch: [25][80/14090]	Time 0.742 (0.819)	Data 0.001 (0.058)	Loss 2.8351 (2.7427)	Prec@1 27.344 (34.655)	Prec@5 67.188 (65.037)
Epoch: [25][90/14090]	Time 0.757 (0.812)	Data 0.001 (0.052)	Loss 2.6530 (2.7408)	Prec@1 36.719 (34.804)	Prec@5 67.969 (65.067)
Epoch: [25][100/14090]	Time 0.728 (0.809)	Data 0.001 (0.047)	Loss 2.9731 (2.7440)	Prec@1 29.688 (34.777)	Prec@5 61.719 (64.944)
Epoch: [25][110/14090]	Time 0.764 (0.804)	Data 0.001 (0.043)	Loss 2.8453 (2.7380)	Prec@1 31.250 (34.783)	Prec@5 67.188 (65.062)
Epoch: [25][120/14090]	Time 0.722 (0.802)	Data 0.001 (0.039)	Loss 2.6135 (2.7334)	Prec@1 29.688 (34.788)	Prec@5 69.531 (65.283)
Epoch: [25][130/14090]	Time 0.747 (0.799)	Data 0.001 (0.036)	Loss 2.6394 (2.7342)	Prec@1 35.938 (34.679)	Prec@5 66.406 (65.178)
Epoch: [25][140/14090]	Time 0.889 (0.798)	Data 0.001 (0.034)	Loss 2.6733 (2.7322)	Prec@1 35.156 (34.702)	Prec@5 66.406 (65.248)
Epoch: [25][150/14090]	Time 0.766 (0.796)	Data 0.001 (0.032)	Loss 2.7614 (2.7333)	Prec@1 35.156 (34.608)	Prec@5 64.062 (65.247)
Epoch: [25][160/14090]	Time 0.747 (0.793)	Data 0.001 (0.030)	Loss 2.5262 (2.7341)	Prec@1 41.406 (34.637)	Prec@5 67.969 (65.213)
Epoch: [25][170/14090]	Time 0.745 (0.793)	Data 0.001 (0.028)	Loss 2.7047 (2.7370)	Prec@1 42.188 (34.558)	Prec@5 67.969 (65.191)
Epoch: [25][180/14090]	Time 0.765 (0.792)	Data 0.001 (0.026)	Loss 2.2960 (2.7325)	Prec@1 46.875 (34.578)	Prec@5 68.750 (65.232)
Epoch: [25][190/14090]	Time 0.748 (0.790)	Data 0.001 (0.025)	Loss 2.8209 (2.7325)	Prec@1 32.031 (34.551)	Prec@5 63.281 (65.249)
Epoch: [25][200/14090]	Time 0.756 (0.789)	Data 0.001 (0.024)	Loss 2.9298 (2.7314)	Prec@1 32.031 (34.593)	Prec@5 57.031 (65.267)
Epoch: [25][210/14090]	Time 0.842 (0.788)	Data 0.001 (0.023)	Loss 2.6310 (2.7260)	Prec@1 35.156 (34.749)	Prec@5 63.281 (65.381)
Epoch: [25][220/14090]	Time 0.746 (0.787)	Data 0.001 (0.022)	Loss 2.7109 (2.7267)	Prec@1 29.688 (34.782)	Prec@5 65.625 (65.360)
Epoch: [25][230/14090]	Time 0.745 (0.787)	Data 0.001 (0.021)	Loss 2.6032 (2.7262)	Prec@1 32.031 (34.771)	Prec@5 67.188 (65.348)
Epoch: [25][240/14090]	Time 0.747 (0.786)	Data 0.001 (0.020)	Loss 2.9854 (2.7283)	Prec@1 30.469 (34.754)	Prec@5 66.406 (65.288)
Epoch: [25][250/14090]	Time 0.757 (0.786)	Data 0.001 (0.019)	Loss 2.5954 (2.7278)	Prec@1 34.375 (34.777)	Prec@5 63.281 (65.227)
Epoch: [25][260/14090]	Time 0.755 (0.785)	Data 0.001 (0.019)	Loss 3.3606 (2.7321)	Prec@1 29.688 (34.731)	Prec@5 56.250 (65.119)
Epoch: [25][270/14090]	Time 0.754 (0.784)	Data 0.002 (0.018)	Loss 2.6465 (2.7304)	Prec@1 39.062 (34.784)	Prec@5 65.625 (65.164)
Epoch: [25][280/14090]	Time 0.924 (0.784)	Data 0.001 (0.017)	Loss 2.9405 (2.7343)	Prec@1 31.250 (34.731)	Prec@5 60.938 (65.111)
Epoch: [25][290/14090]	Time 0.747 (0.784)	Data 0.001 (0.017)	Loss 2.5365 (2.7337)	Prec@1 47.656 (34.788)	Prec@5 64.844 (65.080)
Epoch: [25][300/14090]	Time 0.732 (0.783)	Data 0.001 (0.016)	Loss 2.7922 (2.7296)	Prec@1 36.719 (34.892)	Prec@5 64.062 (65.150)
Epoch: [25][310/14090]	Time 0.772 (0.783)	Data 0.001 (0.016)	Loss 2.5020 (2.7302)	Prec@1 40.625 (34.892)	Prec@5 67.188 (65.168)
Epoch: [25][320/14090]	Time 0.739 (0.783)	Data 0.001 (0.015)	Loss 2.3634 (2.7296)	Prec@1 38.281 (34.896)	Prec@5 71.875 (65.180)
Epoch: [25][330/14090]	Time 0.758 (0.783)	Data 0.001 (0.015)	Loss 3.0732 (2.7313)	Prec@1 28.125 (34.854)	Prec@5 61.719 (65.151)
Epoch: [25][340/14090]	Time 0.757 (0.782)	Data 0.001 (0.014)	Loss 2.9077 (2.7323)	Prec@1 35.938 (34.852)	Prec@5 60.938 (65.164)
Epoch: [25][350/14090]	Time 0.923 (0.782)	Data 0.001 (0.014)	Loss 2.5527 (2.7295)	Prec@1 37.500 (34.854)	Prec@5 65.625 (65.220)
Epoch: [25][360/14090]	Time 0.736 (0.782)	Data 0.001 (0.014)	Loss 2.5692 (2.7293)	Prec@1 38.281 (34.836)	Prec@5 67.969 (65.240)
Epoch: [25][370/14090]	Time 0.748 (0.781)	Data 0.001 (0.013)	Loss 2.5984 (2.7300)	Prec@1 42.969 (34.847)	Prec@5 67.969 (65.210)
Epoch: [25][380/14090]	Time 0.738 (0.781)	Data 0.001 (0.013)	Loss 2.9304 (2.7313)	Prec@1 36.719 (34.824)	Prec@5 60.156 (65.174)
Epoch: [25][390/14090]	Time 0.745 (0.781)	Data 0.001 (0.013)	Loss 2.7258 (2.7332)	Prec@1 28.125 (34.741)	Prec@5 66.406 (65.135)
Epoch: [25][400/14090]	Time 0.721 (0.780)	Data 0.001 (0.012)	Loss 2.5563 (2.7327)	Prec@1 37.500 (34.726)	Prec@5 73.438 (65.122)
Epoch: [25][410/14090]	Time 0.758 (0.780)	Data 0.001 (0.012)	Loss 2.6554 (2.7339)	Prec@1 34.375 (34.698)	Prec@5 65.625 (65.076)
Epoch: [25][420/14090]	Time 0.942 (0.780)	Data 0.001 (0.012)	Loss 2.8598 (2.7363)	Prec@1 31.250 (34.642)	Prec@5 61.719 (65.009)
Epoch: [25][430/14090]	Time 0.744 (0.779)	Data 0.001 (0.012)	Loss 2.8132 (2.7351)	Prec@1 33.594 (34.652)	Prec@5 62.500 (65.058)
Epoch: [25][440/14090]	Time 0.755 (0.779)	Data 0.001 (0.011)	Loss 2.8159 (2.7361)	Prec@1 31.250 (34.666)	Prec@5 65.625 (65.047)
Epoch: [25][450/14090]	Time 0.775 (0.779)	Data 0.001 (0.011)	Loss 2.4660 (2.7345)	Prec@1 37.500 (34.697)	Prec@5 63.281 (65.064)
Epoch: [25][460/14090]	Time 0.739 (0.779)	Data 0.001 (0.011)	Loss 2.9297 (2.7365)	Prec@1 31.250 (34.631)	Prec@5 60.938 (65.018)
Epoch: [25][470/14090]	Time 0.726 (0.779)	Data 0.001 (0.011)	Loss 2.7165 (2.7376)	Prec@1 40.625 (34.630)	Prec@5 63.281 (64.985)
Epoch: [25][480/14090]	Time 0.745 (0.778)	Data 0.001 (0.011)	Loss 2.6792 (2.7382)	Prec@1 32.812 (34.604)	Prec@5 67.188 (64.975)
Epoch: [25][490/14090]	Time 0.858 (0.779)	Data 0.001 (0.010)	Loss 2.9001 (2.7390)	Prec@1 33.594 (34.606)	Prec@5 60.156 (64.947)
Epoch: [25][500/14090]	Time 0.748 (0.778)	Data 0.001 (0.010)	Loss 2.4912 (2.7388)	Prec@1 43.750 (34.610)	Prec@5 70.312 (64.958)
Epoch: [25][510/14090]	Time 0.742 (0.778)	Data 0.001 (0.010)	Loss 2.8768 (2.7389)	Prec@1 31.250 (34.595)	Prec@5 61.719 (64.934)
Epoch: [25][520/14090]	Time 0.755 (0.778)	Data 0.001 (0.010)	Loss 2.8852 (2.7385)	Prec@1 29.688 (34.588)	Prec@5 65.625 (64.982)
Epoch: [25][530/14090]	Time 0.758 (0.777)	Data 0.001 (0.010)	Loss 2.9392 (2.7392)	Prec@1 30.469 (34.582)	Prec@5 61.719 (64.969)
Epoch: [25][540/14090]	Time 0.733 (0.777)	Data 0.002 (0.009)	Loss 3.1118 (2.7407)	Prec@1 25.000 (34.553)	Prec@5 60.156 (64.925)
Epoch: [25][550/14090]	Time 0.748 (0.777)	Data 0.001 (0.009)	Loss 2.8640 (2.7420)	Prec@1 32.031 (34.514)	Prec@5 58.594 (64.879)
Epoch: [25][560/14090]	Time 0.912 (0.777)	Data 0.001 (0.009)	Loss 2.7757 (2.7416)	Prec@1 34.375 (34.510)	Prec@5 65.625 (64.891)
Epoch: [25][570/14090]	Time 0.722 (0.777)	Data 0.001 (0.009)	Loss 2.9228 (2.7434)	Prec@1 30.469 (34.456)	Prec@5 60.938 (64.837)
Epoch: [25][580/14090]	Time 0.735 (0.776)	Data 0.001 (0.009)	Loss 2.8498 (2.7430)	Prec@1 32.031 (34.483)	Prec@5 66.406 (64.828)
Epoch: [25][590/14090]	Time 0.746 (0.776)	Data 0.001 (0.009)	Loss 2.7585 (2.7433)	Prec@1 35.938 (34.485)	Prec@5 62.500 (64.804)
Epoch: [25][600/14090]	Time 0.743 (0.776)	Data 0.001 (0.009)	Loss 2.6396 (2.7423)	Prec@1 34.375 (34.504)	Prec@5 64.062 (64.828)
Epoch: [25][610/14090]	Time 0.752 (0.776)	Data 0.001 (0.008)	Loss 2.9805 (2.7416)	Prec@1 27.344 (34.493)	Prec@5 56.250 (64.832)
Epoch: [25][620/14090]	Time 0.744 (0.776)	Data 0.001 (0.008)	Loss 2.7710 (2.7406)	Prec@1 39.844 (34.521)	Prec@5 64.844 (64.844)
Epoch: [25][630/14090]	Time 0.904 (0.776)	Data 0.001 (0.008)	Loss 2.6673 (2.7413)	Prec@1 29.688 (34.494)	Prec@5 64.844 (64.820)
Epoch: [25][640/14090]	Time 0.745 (0.776)	Data 0.001 (0.008)	Loss 3.0230 (2.7413)	Prec@1 27.344 (34.513)	Prec@5 58.594 (64.819)
Epoch: [25][650/14090]	Time 0.746 (0.776)	Data 0.001 (0.008)	Loss 2.3618 (2.7419)	Prec@1 34.375 (34.483)	Prec@5 71.875 (64.811)
Epoch: [25][660/14090]	Time 0.737 (0.776)	Data 0.001 (0.008)	Loss 2.8477 (2.7420)	Prec@1 28.125 (34.480)	Prec@5 64.844 (64.833)
Epoch: [25][670/14090]	Time 0.751 (0.776)	Data 0.001 (0.008)	Loss 2.8560 (2.7430)	Prec@1 28.906 (34.454)	Prec@5 60.156 (64.811)
Epoch: [25][680/14090]	Time 0.766 (0.776)	Data 0.001 (0.008)	Loss 2.7472 (2.7431)	Prec@1 33.594 (34.448)	Prec@5 65.625 (64.839)
Epoch: [25][690/14090]	Time 0.739 (0.775)	Data 0.001 (0.008)	Loss 2.6992 (2.7437)	Prec@1 39.062 (34.418)	Prec@5 67.188 (64.821)
Epoch: [25][700/14090]	Time 0.875 (0.775)	Data 0.001 (0.007)	Loss 2.4735 (2.7445)	Prec@1 37.500 (34.408)	Prec@5 68.750 (64.795)
Epoch: [25][710/14090]	Time 0.752 (0.775)	Data 0.001 (0.007)	Loss 2.7163 (2.7446)	Prec@1 28.906 (34.405)	Prec@5 68.750 (64.778)
Epoch: [25][720/14090]	Time 0.742 (0.775)	Data 0.001 (0.007)	Loss 2.7423 (2.7442)	Prec@1 33.594 (34.405)	Prec@5 65.625 (64.781)
Epoch: [25][730/14090]	Time 0.766 (0.775)	Data 0.001 (0.007)	Loss 2.7075 (2.7439)	Prec@1 32.812 (34.419)	Prec@5 64.062 (64.780)
Epoch: [25][740/14090]	Time 0.732 (0.775)	Data 0.001 (0.007)	Loss 2.9445 (2.7445)	Prec@1 29.688 (34.402)	Prec@5 59.375 (64.778)
Epoch: [25][750/14090]	Time 0.745 (0.775)	Data 0.001 (0.007)	Loss 2.6742 (2.7440)	Prec@1 33.594 (34.409)	Prec@5 67.188 (64.776)
Epoch: [25][760/14090]	Time 0.758 (0.774)	Data 0.001 (0.007)	Loss 2.5348 (2.7423)	Prec@1 38.281 (34.437)	Prec@5 65.625 (64.816)
Epoch: [25][770/14090]	Time 0.867 (0.775)	Data 0.001 (0.007)	Loss 2.8502 (2.7411)	Prec@1 34.375 (34.461)	Prec@5 63.281 (64.844)
Epoch: [25][780/14090]	Time 0.739 (0.774)	Data 0.001 (0.007)	Loss 2.3941 (2.7414)	Prec@1 41.406 (34.467)	Prec@5 71.094 (64.864)
Epoch: [25][790/14090]	Time 0.758 (0.774)	Data 0.001 (0.007)	Loss 2.7727 (2.7414)	Prec@1 28.125 (34.454)	Prec@5 64.062 (64.873)
Epoch: [25][800/14090]	Time 0.767 (0.774)	Data 0.001 (0.007)	Loss 2.5934 (2.7413)	Prec@1 42.188 (34.445)	Prec@5 67.188 (64.877)
Epoch: [25][810/14090]	Time 0.752 (0.774)	Data 0.001 (0.007)	Loss 2.7989 (2.7411)	Prec@1 29.688 (34.436)	Prec@5 66.406 (64.889)
Epoch: [25][820/14090]	Time 0.737 (0.774)	Data 0.001 (0.007)	Loss 2.7739 (2.7408)	Prec@1 35.938 (34.445)	Prec@5 68.750 (64.904)
Epoch: [25][830/14090]	Time 0.767 (0.774)	Data 0.001 (0.006)	Loss 2.8126 (2.7395)	Prec@1 33.594 (34.471)	Prec@5 64.062 (64.923)
Epoch: [25][840/14090]	Time 0.843 (0.774)	Data 0.001 (0.006)	Loss 2.8039 (2.7407)	Prec@1 30.469 (34.452)	Prec@5 62.500 (64.911)
Epoch: [25][850/14090]	Time 0.753 (0.774)	Data 0.001 (0.006)	Loss 2.4771 (2.7419)	Prec@1 39.062 (34.434)	Prec@5 67.188 (64.882)
Epoch: [25][860/14090]	Time 0.751 (0.774)	Data 0.001 (0.006)	Loss 2.6233 (2.7414)	Prec@1 35.156 (34.458)	Prec@5 73.438 (64.912)
Epoch: [25][870/14090]	Time 0.741 (0.773)	Data 0.001 (0.006)	Loss 3.0692 (2.7412)	Prec@1 31.250 (34.468)	Prec@5 57.812 (64.912)
Epoch: [25][880/14090]	Time 0.744 (0.773)	Data 0.001 (0.006)	Loss 2.8519 (2.7410)	Prec@1 33.594 (34.445)	Prec@5 61.719 (64.924)
Epoch: [25][890/14090]	Time 0.730 (0.773)	Data 0.001 (0.006)	Loss 2.5742 (2.7405)	Prec@1 36.719 (34.438)	Prec@5 67.188 (64.933)
Epoch: [25][900/14090]	Time 0.735 (0.773)	Data 0.001 (0.006)	Loss 2.8633 (2.7407)	Prec@1 30.469 (34.438)	Prec@5 66.406 (64.918)
Epoch: [25][910/14090]	Time 0.980 (0.773)	Data 0.001 (0.006)	Loss 2.7068 (2.7409)	Prec@1 32.812 (34.422)	Prec@5 71.875 (64.939)
Epoch: [25][920/14090]	Time 0.746 (0.773)	Data 0.001 (0.006)	Loss 2.8875 (2.7416)	Prec@1 33.594 (34.427)	Prec@5 66.406 (64.935)
Epoch: [25][930/14090]	Time 0.767 (0.773)	Data 0.001 (0.006)	Loss 2.9488 (2.7425)	Prec@1 30.469 (34.420)	Prec@5 60.156 (64.914)
Epoch: [25][940/14090]	Time 0.739 (0.773)	Data 0.001 (0.006)	Loss 2.8247 (2.7427)	Prec@1 30.469 (34.423)	Prec@5 65.625 (64.907)
Epoch: [25][950/14090]	Time 0.753 (0.773)	Data 0.001 (0.006)	Loss 2.6287 (2.7429)	Prec@1 33.594 (34.419)	Prec@5 71.875 (64.912)
Epoch: [25][960/14090]	Time 0.738 (0.773)	Data 0.001 (0.006)	Loss 2.9624 (2.7422)	Prec@1 29.688 (34.414)	Prec@5 60.156 (64.939)
Epoch: [25][970/14090]	Time 0.720 (0.773)	Data 0.001 (0.006)	Loss 2.6951 (2.7421)	Prec@1 34.375 (34.422)	Prec@5 69.531 (64.939)
Epoch: [25][980/14090]	Time 0.823 (0.773)	Data 0.001 (0.006)	Loss 3.0086 (2.7411)	Prec@1 33.594 (34.457)	Prec@5 61.719 (64.962)
Epoch: [25][990/14090]	Time 0.753 (0.773)	Data 0.001 (0.006)	Loss 2.4513 (2.7397)	Prec@1 47.656 (34.507)	Prec@5 67.969 (64.986)
Epoch: [25][1000/14090]	Time 0.753 (0.773)	Data 0.001 (0.006)	Loss 2.4410 (2.7398)	Prec@1 35.156 (34.501)	Prec@5 66.406 (64.989)
Epoch: [25][1010/14090]	Time 0.733 (0.773)	Data 0.001 (0.005)	Loss 2.8447 (2.7403)	Prec@1 30.469 (34.502)	Prec@5 61.719 (64.970)
Epoch: [25][1020/14090]	Time 0.740 (0.773)	Data 0.001 (0.005)	Loss 2.6867 (2.7407)	Prec@1 35.156 (34.505)	Prec@5 66.406 (64.977)
Epoch: [25][1030/14090]	Time 0.763 (0.773)	Data 0.001 (0.005)	Loss 2.8605 (2.7416)	Prec@1 33.594 (34.493)	Prec@5 64.062 (64.951)
Epoch: [25][1040/14090]	Time 0.735 (0.773)	Data 0.001 (0.005)	Loss 2.5059 (2.7416)	Prec@1 39.062 (34.503)	Prec@5 67.969 (64.949)
Epoch: [25][1050/14090]	Time 0.874 (0.773)	Data 0.001 (0.005)	Loss 2.6824 (2.7417)	Prec@1 35.938 (34.501)	Prec@5 64.062 (64.952)
Epoch: [25][1060/14090]	Time 0.756 (0.772)	Data 0.001 (0.005)	Loss 2.5927 (2.7418)	Prec@1 39.844 (34.506)	Prec@5 67.969 (64.956)
Epoch: [25][1070/14090]	Time 0.739 (0.772)	Data 0.001 (0.005)	Loss 2.6427 (2.7412)	Prec@1 32.812 (34.509)	Prec@5 67.188 (64.974)
Epoch: [25][1080/14090]	Time 0.759 (0.772)	Data 0.001 (0.005)	Loss 2.8416 (2.7410)	Prec@1 35.156 (34.514)	Prec@5 63.281 (64.968)
Epoch: [25][1090/14090]	Time 0.769 (0.772)	Data 0.001 (0.005)	Loss 2.5419 (2.7407)	Prec@1 34.375 (34.519)	Prec@5 68.750 (64.974)
Epoch: [25][1100/14090]	Time 0.726 (0.772)	Data 0.001 (0.005)	Loss 2.8321 (2.7415)	Prec@1 33.594 (34.505)	Prec@5 64.844 (64.964)
Epoch: [25][1110/14090]	Time 0.737 (0.772)	Data 0.001 (0.005)	Loss 3.1922 (2.7421)	Prec@1 29.688 (34.506)	Prec@5 55.469 (64.950)
Epoch: [25][1120/14090]	Time 0.819 (0.772)	Data 0.001 (0.005)	Loss 2.6378 (2.7417)	Prec@1 34.375 (34.518)	Prec@5 68.750 (64.957)
Epoch: [25][1130/14090]	Time 0.760 (0.772)	Data 0.001 (0.005)	Loss 2.6321 (2.7414)	Prec@1 35.938 (34.523)	Prec@5 63.281 (64.953)
Epoch: [25][1140/14090]	Time 0.754 (0.772)	Data 0.001 (0.005)	Loss 2.6531 (2.7421)	Prec@1 27.344 (34.500)	Prec@5 70.312 (64.943)
Epoch: [25][1150/14090]	Time 0.746 (0.772)	Data 0.001 (0.005)	Loss 2.7640 (2.7422)	Prec@1 33.594 (34.494)	Prec@5 65.625 (64.939)
Epoch: [25][1160/14090]	Time 0.766 (0.772)	Data 0.001 (0.005)	Loss 2.8404 (2.7423)	Prec@1 26.562 (34.476)	Prec@5 63.281 (64.940)
Epoch: [25][1170/14090]	Time 0.754 (0.772)	Data 0.001 (0.005)	Loss 2.6897 (2.7420)	Prec@1 36.719 (34.482)	Prec@5 63.281 (64.946)
Epoch: [25][1180/14090]	Time 0.742 (0.772)	Data 0.001 (0.005)	Loss 2.6127 (2.7414)	Prec@1 35.938 (34.504)	Prec@5 64.062 (64.954)
Epoch: [25][1190/14090]	Time 0.869 (0.772)	Data 0.003 (0.005)	Loss 2.7252 (2.7407)	Prec@1 30.469 (34.514)	Prec@5 65.625 (64.960)
Epoch: [25][1200/14090]	Time 0.767 (0.772)	Data 0.001 (0.005)	Loss 2.4326 (2.7407)	Prec@1 38.281 (34.515)	Prec@5 70.312 (64.963)
Epoch: [25][1210/14090]	Time 0.752 (0.771)	Data 0.001 (0.005)	Loss 2.8137 (2.7403)	Prec@1 30.469 (34.537)	Prec@5 61.719 (64.966)
Epoch: [25][1220/14090]	Time 0.764 (0.771)	Data 0.001 (0.005)	Loss 2.7339 (2.7410)	Prec@1 35.938 (34.535)	Prec@5 68.750 (64.943)
Epoch: [25][1230/14090]	Time 0.723 (0.771)	Data 0.001 (0.005)	Loss 2.5815 (2.7413)	Prec@1 37.500 (34.529)	Prec@5 65.625 (64.922)
Epoch: [25][1240/14090]	Time 0.737 (0.771)	Data 0.001 (0.005)	Loss 2.5309 (2.7411)	Prec@1 36.719 (34.529)	Prec@5 67.188 (64.919)
Epoch: [25][1250/14090]	Time 0.723 (0.771)	Data 0.001 (0.005)	Loss 2.5565 (2.7415)	Prec@1 32.031 (34.524)	Prec@5 67.188 (64.910)
Epoch: [25][1260/14090]	Time 0.934 (0.771)	Data 0.001 (0.005)	Loss 2.9389 (2.7414)	Prec@1 24.219 (34.522)	Prec@5 64.062 (64.904)
Epoch: [25][1270/14090]	Time 0.763 (0.771)	Data 0.001 (0.005)	Loss 2.5872 (2.7411)	Prec@1 35.156 (34.538)	Prec@5 65.625 (64.916)
Epoch: [25][1280/14090]	Time 0.742 (0.771)	Data 0.001 (0.004)	Loss 2.7622 (2.7410)	Prec@1 34.375 (34.540)	Prec@5 66.406 (64.922)
Epoch: [25][1290/14090]	Time 0.756 (0.771)	Data 0.001 (0.004)	Loss 2.7038 (2.7412)	Prec@1 32.812 (34.538)	Prec@5 66.406 (64.919)
Epoch: [25][1300/14090]	Time 0.754 (0.771)	Data 0.001 (0.004)	Loss 2.7037 (2.7408)	Prec@1 32.812 (34.545)	Prec@5 66.406 (64.921)
Epoch: [25][1310/14090]	Time 0.746 (0.771)	Data 0.001 (0.004)	Loss 2.8339 (2.7409)	Prec@1 28.906 (34.537)	Prec@5 66.406 (64.924)
Epoch: [25][1320/14090]	Time 0.745 (0.771)	Data 0.002 (0.004)	Loss 2.6903 (2.7408)	Prec@1 25.781 (34.532)	Prec@5 61.719 (64.924)
Epoch: [25][1330/14090]	Time 0.863 (0.771)	Data 0.001 (0.004)	Loss 2.8072 (2.7410)	Prec@1 35.156 (34.531)	Prec@5 62.500 (64.926)
Epoch: [25][1340/14090]	Time 0.734 (0.771)	Data 0.001 (0.004)	Loss 2.8911 (2.7408)	Prec@1 31.250 (34.517)	Prec@5 61.719 (64.922)
Epoch: [25][1350/14090]	Time 0.748 (0.771)	Data 0.001 (0.004)	Loss 2.9106 (2.7412)	Prec@1 28.125 (34.507)	Prec@5 60.938 (64.913)
Epoch: [25][1360/14090]	Time 0.736 (0.771)	Data 0.001 (0.004)	Loss 2.5829 (2.7411)	Prec@1 36.719 (34.510)	Prec@5 67.188 (64.895)
Epoch: [25][1370/14090]	Time 0.760 (0.771)	Data 0.001 (0.004)	Loss 2.4879 (2.7415)	Prec@1 44.531 (34.511)	Prec@5 71.875 (64.893)
Epoch: [25][1380/14090]	Time 0.757 (0.771)	Data 0.001 (0.004)	Loss 2.5705 (2.7414)	Prec@1 38.281 (34.509)	Prec@5 68.750 (64.884)
Epoch: [25][1390/14090]	Time 0.757 (0.771)	Data 0.001 (0.004)	Loss 2.8620 (2.7417)	Prec@1 34.375 (34.502)	Prec@5 61.719 (64.872)
Epoch: [25][1400/14090]	Time 0.992 (0.771)	Data 0.001 (0.004)	Loss 2.8919 (2.7419)	Prec@1 31.250 (34.509)	Prec@5 64.062 (64.867)
Epoch: [25][1410/14090]	Time 0.768 (0.771)	Data 0.001 (0.004)	Loss 2.8712 (2.7419)	Prec@1 34.375 (34.507)	Prec@5 60.938 (64.864)
Epoch: [25][1420/14090]	Time 0.757 (0.771)	Data 0.001 (0.004)	Loss 2.6577 (2.7422)	Prec@1 35.156 (34.495)	Prec@5 66.406 (64.860)
Epoch: [25][1430/14090]	Time 0.761 (0.771)	Data 0.001 (0.004)	Loss 2.8241 (2.7419)	Prec@1 29.688 (34.505)	Prec@5 64.844 (64.864)
Epoch: [25][1440/14090]	Time 0.746 (0.771)	Data 0.001 (0.004)	Loss 2.6889 (2.7420)	Prec@1 39.844 (34.499)	Prec@5 66.406 (64.871)
Epoch: [25][1450/14090]	Time 0.751 (0.771)	Data 0.001 (0.004)	Loss 2.5879 (2.7426)	Prec@1 39.062 (34.501)	Prec@5 69.531 (64.861)
Epoch: [25][1460/14090]	Time 0.745 (0.771)	Data 0.001 (0.004)	Loss 2.4481 (2.7424)	Prec@1 38.281 (34.509)	Prec@5 69.531 (64.852)
Epoch: [25][1470/14090]	Time 0.859 (0.771)	Data 0.001 (0.004)	Loss 3.0337 (2.7427)	Prec@1 28.906 (34.506)	Prec@5 55.469 (64.845)
Epoch: [25][1480/14090]	Time 0.733 (0.771)	Data 0.001 (0.004)	Loss 2.5272 (2.7424)	Prec@1 34.375 (34.515)	Prec@5 72.656 (64.853)
Epoch: [25][1490/14090]	Time 0.724 (0.770)	Data 0.001 (0.004)	Loss 2.8656 (2.7426)	Prec@1 37.500 (34.515)	Prec@5 60.156 (64.853)
Epoch: [25][1500/14090]	Time 0.741 (0.770)	Data 0.001 (0.004)	Loss 2.8293 (2.7427)	Prec@1 35.938 (34.502)	Prec@5 64.062 (64.855)
Epoch: [25][1510/14090]	Time 0.737 (0.770)	Data 0.001 (0.004)	Loss 2.7915 (2.7431)	Prec@1 32.031 (34.480)	Prec@5 60.938 (64.849)
Epoch: [25][1520/14090]	Time 0.750 (0.770)	Data 0.001 (0.004)	Loss 2.3916 (2.7428)	Prec@1 42.188 (34.480)	Prec@5 71.094 (64.864)
Epoch: [25][1530/14090]	Time 0.735 (0.770)	Data 0.001 (0.004)	Loss 2.3614 (2.7429)	Prec@1 44.531 (34.478)	Prec@5 70.312 (64.854)
Epoch: [25][1540/14090]	Time 0.886 (0.770)	Data 0.001 (0.004)	Loss 2.5503 (2.7425)	Prec@1 35.156 (34.479)	Prec@5 71.875 (64.874)
Epoch: [25][1550/14090]	Time 0.735 (0.770)	Data 0.001 (0.004)	Loss 2.7161 (2.7429)	Prec@1 32.812 (34.471)	Prec@5 65.625 (64.867)
Epoch: [25][1560/14090]	Time 0.741 (0.770)	Data 0.001 (0.004)	Loss 2.9094 (2.7432)	Prec@1 32.031 (34.471)	Prec@5 59.375 (64.864)
Epoch: [25][1570/14090]	Time 0.727 (0.770)	Data 0.001 (0.004)	Loss 2.8785 (2.7436)	Prec@1 36.719 (34.479)	Prec@5 63.281 (64.854)
Epoch: [25][1580/14090]	Time 0.755 (0.770)	Data 0.001 (0.004)	Loss 2.7144 (2.7438)	Prec@1 31.250 (34.464)	Prec@5 64.062 (64.847)
Epoch: [25][1590/14090]	Time 0.734 (0.770)	Data 0.001 (0.004)	Loss 2.8666 (2.7437)	Prec@1 36.719 (34.462)	Prec@5 61.719 (64.843)
Epoch: [25][1600/14090]	Time 0.759 (0.770)	Data 0.001 (0.004)	Loss 2.5260 (2.7438)	Prec@1 39.062 (34.465)	Prec@5 68.750 (64.838)
Epoch: [25][1610/14090]	Time 0.890 (0.770)	Data 0.001 (0.004)	Loss 2.7593 (2.7439)	Prec@1 34.375 (34.463)	Prec@5 60.156 (64.830)
Epoch: [25][1620/14090]	Time 0.747 (0.770)	Data 0.001 (0.004)	Loss 2.3871 (2.7435)	Prec@1 41.406 (34.468)	Prec@5 71.094 (64.841)
Epoch: [25][1630/14090]	Time 0.740 (0.770)	Data 0.001 (0.004)	Loss 2.6344 (2.7436)	Prec@1 31.250 (34.461)	Prec@5 68.750 (64.835)
Epoch: [25][1640/14090]	Time 0.775 (0.770)	Data 0.001 (0.004)	Loss 3.2449 (2.7443)	Prec@1 25.000 (34.452)	Prec@5 54.688 (64.822)
Epoch: [25][1650/14090]	Time 0.746 (0.770)	Data 0.001 (0.004)	Loss 2.9638 (2.7446)	Prec@1 28.906 (34.443)	Prec@5 64.844 (64.822)
Epoch: [25][1660/14090]	Time 0.749 (0.770)	Data 0.001 (0.004)	Loss 2.6773 (2.7443)	Prec@1 35.938 (34.447)	Prec@5 71.875 (64.828)
Epoch: [25][1670/14090]	Time 0.726 (0.770)	Data 0.001 (0.004)	Loss 2.6044 (2.7441)	Prec@1 41.406 (34.451)	Prec@5 66.406 (64.834)
Epoch: [25][1680/14090]	Time 0.875 (0.770)	Data 0.001 (0.004)	Loss 2.7143 (2.7443)	Prec@1 33.594 (34.456)	Prec@5 60.156 (64.827)
Epoch: [25][1690/14090]	Time 0.750 (0.770)	Data 0.001 (0.004)	Loss 2.9474 (2.7441)	Prec@1 34.375 (34.464)	Prec@5 68.750 (64.835)
Epoch: [25][1700/14090]	Time 0.749 (0.770)	Data 0.001 (0.004)	Loss 2.8432 (2.7440)	Prec@1 32.031 (34.475)	Prec@5 60.156 (64.831)
Epoch: [25][1710/14090]	Time 0.761 (0.769)	Data 0.001 (0.004)	Loss 2.3711 (2.7436)	Prec@1 38.281 (34.480)	Prec@5 71.094 (64.833)
Epoch: [25][1720/14090]	Time 0.740 (0.769)	Data 0.002 (0.004)	Loss 2.6257 (2.7429)	Prec@1 35.156 (34.486)	Prec@5 72.656 (64.848)
Epoch: [25][1730/14090]	Time 0.734 (0.769)	Data 0.001 (0.004)	Loss 2.7045 (2.7428)	Prec@1 38.281 (34.481)	Prec@5 69.531 (64.850)
Epoch: [25][1740/14090]	Time 0.742 (0.769)	Data 0.001 (0.004)	Loss 2.5195 (2.7428)	Prec@1 38.281 (34.481)	Prec@5 67.969 (64.854)
Epoch: [25][1750/14090]	Time 0.872 (0.769)	Data 0.001 (0.004)	Loss 2.9115 (2.7430)	Prec@1 29.688 (34.460)	Prec@5 65.625 (64.854)
Epoch: [25][1760/14090]	Time 0.743 (0.769)	Data 0.001 (0.003)	Loss 2.3082 (2.7427)	Prec@1 41.406 (34.463)	Prec@5 75.781 (64.855)
Epoch: [25][1770/14090]	Time 0.734 (0.769)	Data 0.001 (0.003)	Loss 2.7525 (2.7420)	Prec@1 32.031 (34.468)	Prec@5 67.188 (64.864)
Epoch: [25][1780/14090]	Time 0.756 (0.769)	Data 0.001 (0.003)	Loss 2.7550 (2.7419)	Prec@1 38.281 (34.481)	Prec@5 63.281 (64.865)
Epoch: [25][1790/14090]	Time 0.755 (0.769)	Data 0.001 (0.003)	Loss 2.7960 (2.7421)	Prec@1 36.719 (34.481)	Prec@5 64.062 (64.856)
Epoch: [25][1800/14090]	Time 0.713 (0.769)	Data 0.001 (0.003)	Loss 2.9269 (2.7418)	Prec@1 33.594 (34.487)	Prec@5 63.281 (64.860)
Epoch: [25][1810/14090]	Time 0.750 (0.769)	Data 0.001 (0.003)	Loss 2.7229 (2.7416)	Prec@1 38.281 (34.495)	Prec@5 67.188 (64.861)
Epoch: [25][1820/14090]	Time 0.847 (0.769)	Data 0.001 (0.003)	Loss 2.5945 (2.7416)	Prec@1 32.812 (34.496)	Prec@5 65.625 (64.852)
Epoch: [25][1830/14090]	Time 0.741 (0.769)	Data 0.001 (0.003)	Loss 3.1126 (2.7418)	Prec@1 25.000 (34.499)	Prec@5 54.688 (64.851)
Epoch: [25][1840/14090]	Time 0.743 (0.769)	Data 0.001 (0.003)	Loss 2.7016 (2.7417)	Prec@1 33.594 (34.507)	Prec@5 69.531 (64.853)
Epoch: [25][1850/14090]	Time 0.754 (0.769)	Data 0.001 (0.003)	Loss 2.7523 (2.7415)	Prec@1 37.500 (34.507)	Prec@5 64.062 (64.864)
Epoch: [25][1860/14090]	Time 0.759 (0.769)	Data 0.001 (0.003)	Loss 2.5775 (2.7416)	Prec@1 32.031 (34.500)	Prec@5 67.969 (64.865)
Epoch: [25][1870/14090]	Time 0.753 (0.769)	Data 0.001 (0.003)	Loss 2.6188 (2.7414)	Prec@1 36.719 (34.506)	Prec@5 67.188 (64.860)
Epoch: [25][1880/14090]	Time 0.742 (0.769)	Data 0.001 (0.003)	Loss 2.7325 (2.7416)	Prec@1 35.156 (34.497)	Prec@5 65.625 (64.858)
Epoch: [25][1890/14090]	Time 0.887 (0.769)	Data 0.001 (0.003)	Loss 2.6582 (2.7424)	Prec@1 34.375 (34.482)	Prec@5 67.969 (64.843)
Epoch: [25][1900/14090]	Time 0.735 (0.769)	Data 0.001 (0.003)	Loss 2.8422 (2.7426)	Prec@1 36.719 (34.481)	Prec@5 61.719 (64.842)
Epoch: [25][1910/14090]	Time 0.741 (0.769)	Data 0.001 (0.003)	Loss 2.8146 (2.7431)	Prec@1 31.250 (34.471)	Prec@5 64.844 (64.830)
Epoch: [25][1920/14090]	Time 0.800 (0.769)	Data 0.001 (0.003)	Loss 2.8497 (2.7437)	Prec@1 35.938 (34.460)	Prec@5 59.375 (64.820)
Epoch: [25][1930/14090]	Time 0.727 (0.769)	Data 0.001 (0.003)	Loss 2.8605 (2.7438)	Prec@1 30.469 (34.457)	Prec@5 61.719 (64.821)
Epoch: [25][1940/14090]	Time 0.746 (0.769)	Data 0.001 (0.003)	Loss 2.4381 (2.7443)	Prec@1 35.156 (34.453)	Prec@5 71.875 (64.803)
Epoch: [25][1950/14090]	Time 0.730 (0.769)	Data 0.001 (0.003)	Loss 2.7690 (2.7441)	Prec@1 32.031 (34.452)	Prec@5 65.625 (64.806)
Epoch: [25][1960/14090]	Time 0.878 (0.769)	Data 0.001 (0.003)	Loss 2.6250 (2.7441)	Prec@1 35.938 (34.456)	Prec@5 67.188 (64.802)
Epoch: [25][1970/14090]	Time 0.769 (0.769)	Data 0.001 (0.003)	Loss 2.6585 (2.7441)	Prec@1 39.062 (34.454)	Prec@5 64.062 (64.798)
Epoch: [25][1980/14090]	Time 0.748 (0.769)	Data 0.001 (0.003)	Loss 2.8840 (2.7446)	Prec@1 35.938 (34.450)	Prec@5 64.062 (64.789)
Epoch: [25][1990/14090]	Time 0.754 (0.769)	Data 0.001 (0.003)	Loss 2.7966 (2.7448)	Prec@1 28.125 (34.444)	Prec@5 63.281 (64.781)
Epoch: [25][2000/14090]	Time 0.739 (0.769)	Data 0.001 (0.003)	Loss 2.3775 (2.7448)	Prec@1 40.625 (34.443)	Prec@5 70.312 (64.790)
Epoch: [25][2010/14090]	Time 0.738 (0.769)	Data 0.001 (0.003)	Loss 2.9859 (2.7454)	Prec@1 25.781 (34.434)	Prec@5 64.062 (64.781)
Epoch: [25][2020/14090]	Time 0.764 (0.769)	Data 0.001 (0.003)	Loss 2.9926 (2.7457)	Prec@1 32.812 (34.431)	Prec@5 63.281 (64.777)
Epoch: [25][2030/14090]	Time 0.903 (0.769)	Data 0.001 (0.003)	Loss 2.6725 (2.7454)	Prec@1 38.281 (34.446)	Prec@5 66.406 (64.781)
Epoch: [25][2040/14090]	Time 0.750 (0.769)	Data 0.001 (0.003)	Loss 2.7747 (2.7454)	Prec@1 26.562 (34.438)	Prec@5 64.062 (64.779)
Epoch: [25][2050/14090]	Time 0.743 (0.769)	Data 0.001 (0.003)	Loss 2.7179 (2.7460)	Prec@1 34.375 (34.426)	Prec@5 63.281 (64.766)
Epoch: [25][2060/14090]	Time 0.732 (0.769)	Data 0.001 (0.003)	Loss 2.5496 (2.7458)	Prec@1 34.375 (34.429)	Prec@5 70.312 (64.778)
Epoch: [25][2070/14090]	Time 0.762 (0.769)	Data 0.001 (0.003)	Loss 2.7946 (2.7459)	Prec@1 35.156 (34.427)	Prec@5 66.406 (64.782)
Epoch: [25][2080/14090]	Time 0.757 (0.769)	Data 0.001 (0.003)	Loss 2.7754 (2.7455)	Prec@1 40.625 (34.437)	Prec@5 64.062 (64.792)
Epoch: [25][2090/14090]	Time 0.743 (0.769)	Data 0.001 (0.003)	Loss 2.9392 (2.7457)	Prec@1 34.375 (34.436)	Prec@5 60.938 (64.785)
Epoch: [25][2100/14090]	Time 0.857 (0.769)	Data 0.001 (0.003)	Loss 2.7452 (2.7460)	Prec@1 37.500 (34.427)	Prec@5 70.312 (64.783)
Epoch: [25][2110/14090]	Time 0.748 (0.769)	Data 0.001 (0.003)	Loss 2.8807 (2.7462)	Prec@1 30.469 (34.417)	Prec@5 62.500 (64.782)
Epoch: [25][2120/14090]	Time 0.746 (0.769)	Data 0.001 (0.003)	Loss 2.5971 (2.7460)	Prec@1 34.375 (34.422)	Prec@5 69.531 (64.787)
Epoch: [25][2130/14090]	Time 0.734 (0.768)	Data 0.001 (0.003)	Loss 2.8265 (2.7464)	Prec@1 27.344 (34.424)	Prec@5 60.156 (64.770)
Epoch: [25][2140/14090]	Time 0.750 (0.768)	Data 0.001 (0.003)	Loss 3.1450 (2.7468)	Prec@1 28.125 (34.410)	Prec@5 60.938 (64.759)
Epoch: [25][2150/14090]	Time 0.742 (0.768)	Data 0.001 (0.003)	Loss 2.9176 (2.7467)	Prec@1 35.156 (34.409)	Prec@5 57.031 (64.750)
Epoch: [25][2160/14090]	Time 0.750 (0.768)	Data 0.001 (0.003)	Loss 2.9210 (2.7470)	Prec@1 30.469 (34.402)	Prec@5 63.281 (64.749)
Epoch: [25][2170/14090]	Time 0.853 (0.768)	Data 0.001 (0.003)	Loss 2.5842 (2.7469)	Prec@1 35.156 (34.402)	Prec@5 70.312 (64.752)
Epoch: [25][2180/14090]	Time 0.752 (0.768)	Data 0.001 (0.003)	Loss 2.4685 (2.7467)	Prec@1 32.812 (34.409)	Prec@5 73.438 (64.757)
Epoch: [25][2190/14090]	Time 0.740 (0.768)	Data 0.001 (0.003)	Loss 2.3522 (2.7468)	Prec@1 42.969 (34.410)	Prec@5 71.094 (64.757)
Epoch: [25][2200/14090]	Time 0.725 (0.768)	Data 0.001 (0.003)	Loss 2.7916 (2.7467)	Prec@1 28.906 (34.408)	Prec@5 57.031 (64.755)
Epoch: [25][2210/14090]	Time 0.737 (0.768)	Data 0.001 (0.003)	Loss 2.7520 (2.7468)	Prec@1 38.281 (34.410)	Prec@5 60.938 (64.755)
Epoch: [25][2220/14090]	Time 0.754 (0.768)	Data 0.001 (0.003)	Loss 2.6409 (2.7472)	Prec@1 37.500 (34.402)	Prec@5 67.188 (64.749)
Epoch: [25][2230/14090]	Time 0.723 (0.768)	Data 0.001 (0.003)	Loss 2.6930 (2.7473)	Prec@1 35.938 (34.404)	Prec@5 74.219 (64.751)
Epoch: [25][2240/14090]	Time 0.892 (0.768)	Data 0.001 (0.003)	Loss 2.7826 (2.7469)	Prec@1 35.156 (34.410)	Prec@5 67.188 (64.764)
Epoch: [25][2250/14090]	Time 0.750 (0.768)	Data 0.001 (0.003)	Loss 2.5727 (2.7466)	Prec@1 42.188 (34.416)	Prec@5 67.188 (64.764)
Epoch: [25][2260/14090]	Time 0.720 (0.768)	Data 0.001 (0.003)	Loss 2.6398 (2.7463)	Prec@1 35.938 (34.413)	Prec@5 66.406 (64.769)
Epoch: [25][2270/14090]	Time 0.744 (0.768)	Data 0.001 (0.003)	Loss 2.6401 (2.7459)	Prec@1 42.188 (34.416)	Prec@5 67.188 (64.787)
Epoch: [25][2280/14090]	Time 0.737 (0.768)	Data 0.001 (0.003)	Loss 2.6703 (2.7457)	Prec@1 30.469 (34.421)	Prec@5 62.500 (64.793)
Epoch: [25][2290/14090]	Time 0.768 (0.768)	Data 0.001 (0.003)	Loss 2.6820 (2.7457)	Prec@1 35.938 (34.426)	Prec@5 67.969 (64.790)
Epoch: [25][2300/14090]	Time 0.721 (0.768)	Data 0.001 (0.003)	Loss 2.9324 (2.7457)	Prec@1 30.469 (34.423)	Prec@5 60.938 (64.786)
Epoch: [25][2310/14090]	Time 0.868 (0.768)	Data 0.001 (0.003)	Loss 2.9239 (2.7460)	Prec@1 32.812 (34.423)	Prec@5 60.938 (64.776)
Epoch: [25][2320/14090]	Time 0.733 (0.768)	Data 0.001 (0.003)	Loss 2.7130 (2.7460)	Prec@1 35.156 (34.425)	Prec@5 64.844 (64.774)
Epoch: [25][2330/14090]	Time 0.745 (0.768)	Data 0.001 (0.003)	Loss 2.9237 (2.7465)	Prec@1 35.938 (34.422)	Prec@5 57.812 (64.768)
Epoch: [25][2340/14090]	Time 0.749 (0.768)	Data 0.001 (0.003)	Loss 2.7698 (2.7463)	Prec@1 34.375 (34.429)	Prec@5 65.625 (64.769)
Epoch: [25][2350/14090]	Time 0.736 (0.768)	Data 0.001 (0.003)	Loss 2.6748 (2.7461)	Prec@1 37.500 (34.437)	Prec@5 63.281 (64.775)
Epoch: [25][2360/14090]	Time 0.755 (0.768)	Data 0.001 (0.003)	Loss 2.9553 (2.7462)	Prec@1 32.031 (34.432)	Prec@5 59.375 (64.773)
Epoch: [25][2370/14090]	Time 0.755 (0.768)	Data 0.001 (0.003)	Loss 2.8558 (2.7466)	Prec@1 29.688 (34.433)	Prec@5 64.062 (64.761)
Epoch: [25][2380/14090]	Time 0.875 (0.768)	Data 0.001 (0.003)	Loss 2.8707 (2.7467)	Prec@1 28.906 (34.421)	Prec@5 61.719 (64.765)
Epoch: [25][2390/14090]	Time 0.757 (0.768)	Data 0.001 (0.003)	Loss 2.5788 (2.7466)	Prec@1 38.281 (34.419)	Prec@5 69.531 (64.763)
Epoch: [25][2400/14090]	Time 0.759 (0.768)	Data 0.001 (0.003)	Loss 2.6996 (2.7467)	Prec@1 35.156 (34.419)	Prec@5 65.625 (64.765)
Epoch: [25][2410/14090]	Time 0.772 (0.768)	Data 0.001 (0.003)	Loss 3.1233 (2.7470)	Prec@1 26.562 (34.413)	Prec@5 54.688 (64.761)
Epoch: [25][2420/14090]	Time 0.735 (0.768)	Data 0.001 (0.003)	Loss 3.0594 (2.7467)	Prec@1 25.781 (34.417)	Prec@5 58.594 (64.770)
Epoch: [25][2430/14090]	Time 0.759 (0.768)	Data 0.001 (0.003)	Loss 2.7777 (2.7463)	Prec@1 30.469 (34.419)	Prec@5 66.406 (64.780)
Epoch: [25][2440/14090]	Time 0.748 (0.768)	Data 0.001 (0.003)	Loss 2.4591 (2.7461)	Prec@1 36.719 (34.426)	Prec@5 74.219 (64.788)
Epoch: [25][2450/14090]	Time 0.884 (0.768)	Data 0.001 (0.003)	Loss 2.7525 (2.7460)	Prec@1 35.938 (34.429)	Prec@5 65.625 (64.789)
Epoch: [25][2460/14090]	Time 0.754 (0.768)	Data 0.001 (0.003)	Loss 2.6430 (2.7458)	Prec@1 35.156 (34.429)	Prec@5 65.625 (64.797)
Epoch: [25][2470/14090]	Time 0.747 (0.768)	Data 0.001 (0.003)	Loss 2.8794 (2.7460)	Prec@1 32.812 (34.427)	Prec@5 60.156 (64.793)
Epoch: [25][2480/14090]	Time 0.786 (0.768)	Data 0.001 (0.003)	Loss 2.4336 (2.7462)	Prec@1 42.969 (34.423)	Prec@5 71.875 (64.790)
Epoch: [25][2490/14090]	Time 0.752 (0.768)	Data 0.001 (0.003)	Loss 2.4971 (2.7461)	Prec@1 39.844 (34.427)	Prec@5 68.750 (64.794)
Epoch: [25][2500/14090]	Time 0.725 (0.768)	Data 0.001 (0.003)	Loss 2.8588 (2.7461)	Prec@1 32.812 (34.436)	Prec@5 59.375 (64.796)
Epoch: [25][2510/14090]	Time 0.751 (0.768)	Data 0.001 (0.003)	Loss 2.8558 (2.7463)	Prec@1 29.688 (34.433)	Prec@5 64.062 (64.793)
Epoch: [25][2520/14090]	Time 0.908 (0.768)	Data 0.001 (0.003)	Loss 2.6202 (2.7464)	Prec@1 35.938 (34.432)	Prec@5 63.281 (64.795)
Epoch: [25][2530/14090]	Time 0.759 (0.768)	Data 0.001 (0.003)	Loss 2.7085 (2.7460)	Prec@1 40.625 (34.438)	Prec@5 70.312 (64.805)
Epoch: [25][2540/14090]	Time 0.754 (0.768)	Data 0.001 (0.003)	Loss 2.7371 (2.7461)	Prec@1 33.594 (34.437)	Prec@5 64.062 (64.807)
Epoch: [25][2550/14090]	Time 0.759 (0.768)	Data 0.001 (0.003)	Loss 3.0922 (2.7465)	Prec@1 28.125 (34.428)	Prec@5 63.281 (64.797)
Epoch: [25][2560/14090]	Time 0.737 (0.768)	Data 0.001 (0.003)	Loss 2.7959 (2.7464)	Prec@1 29.688 (34.430)	Prec@5 62.500 (64.797)
Epoch: [25][2570/14090]	Time 0.757 (0.768)	Data 0.001 (0.003)	Loss 3.0392 (2.7467)	Prec@1 25.781 (34.428)	Prec@5 60.156 (64.798)
Epoch: [25][2580/14090]	Time 0.756 (0.768)	Data 0.001 (0.003)	Loss 2.9388 (2.7465)	Prec@1 32.031 (34.431)	Prec@5 61.719 (64.802)
Epoch: [25][2590/14090]	Time 0.855 (0.768)	Data 0.001 (0.003)	Loss 2.8302 (2.7467)	Prec@1 35.938 (34.430)	Prec@5 65.625 (64.802)
Epoch: [25][2600/14090]	Time 0.765 (0.768)	Data 0.001 (0.003)	Loss 2.7314 (2.7469)	Prec@1 34.375 (34.430)	Prec@5 64.062 (64.802)
Epoch: [25][2610/14090]	Time 0.743 (0.768)	Data 0.001 (0.003)	Loss 2.7289 (2.7471)	Prec@1 38.281 (34.424)	Prec@5 67.188 (64.798)
Epoch: [25][2620/14090]	Time 0.742 (0.768)	Data 0.001 (0.003)	Loss 3.1603 (2.7473)	Prec@1 30.469 (34.418)	Prec@5 57.812 (64.794)
Epoch: [25][2630/14090]	Time 0.763 (0.768)	Data 0.001 (0.003)	Loss 2.7305 (2.7475)	Prec@1 37.500 (34.417)	Prec@5 62.500 (64.784)
Epoch: [25][2640/14090]	Time 0.754 (0.768)	Data 0.001 (0.003)	Loss 2.9168 (2.7475)	Prec@1 32.031 (34.413)	Prec@5 64.844 (64.789)
Epoch: [25][2650/14090]	Time 0.745 (0.768)	Data 0.001 (0.003)	Loss 2.8966 (2.7476)	Prec@1 35.938 (34.418)	Prec@5 59.375 (64.786)
Epoch: [25][2660/14090]	Time 0.855 (0.768)	Data 0.001 (0.003)	Loss 2.9718 (2.7475)	Prec@1 31.250 (34.425)	Prec@5 58.594 (64.788)
Epoch: [25][2670/14090]	Time 0.734 (0.768)	Data 0.001 (0.003)	Loss 2.8498 (2.7473)	Prec@1 32.812 (34.433)	Prec@5 64.062 (64.794)
Epoch: [25][2680/14090]	Time 0.743 (0.768)	Data 0.001 (0.003)	Loss 2.9852 (2.7471)	Prec@1 30.469 (34.438)	Prec@5 63.281 (64.798)
Epoch: [25][2690/14090]	Time 0.764 (0.768)	Data 0.001 (0.003)	Loss 2.8384 (2.7474)	Prec@1 39.062 (34.433)	Prec@5 64.062 (64.798)
Epoch: [25][2700/14090]	Time 0.757 (0.768)	Data 0.001 (0.003)	Loss 2.6650 (2.7475)	Prec@1 43.750 (34.432)	Prec@5 67.188 (64.792)
Epoch: [25][2710/14090]	Time 0.756 (0.768)	Data 0.001 (0.003)	Loss 2.7437 (2.7476)	Prec@1 35.938 (34.432)	Prec@5 70.312 (64.787)
Epoch: [25][2720/14090]	Time 0.777 (0.768)	Data 0.001 (0.003)	Loss 3.0545 (2.7477)	Prec@1 28.906 (34.435)	Prec@5 66.406 (64.787)
Epoch: [25][2730/14090]	Time 0.891 (0.768)	Data 0.001 (0.003)	Loss 2.7239 (2.7476)	Prec@1 35.156 (34.442)	Prec@5 71.875 (64.787)
Epoch: [25][2740/14090]	Time 0.744 (0.768)	Data 0.001 (0.003)	Loss 2.7741 (2.7474)	Prec@1 35.938 (34.449)	Prec@5 58.594 (64.786)
Epoch: [25][2750/14090]	Time 0.737 (0.768)	Data 0.001 (0.003)	Loss 2.9175 (2.7476)	Prec@1 37.500 (34.453)	Prec@5 64.844 (64.787)
Epoch: [25][2760/14090]	Time 0.792 (0.768)	Data 0.001 (0.003)	Loss 2.7039 (2.7474)	Prec@1 37.500 (34.456)	Prec@5 67.188 (64.794)
Epoch: [25][2770/14090]	Time 0.742 (0.768)	Data 0.001 (0.003)	Loss 3.0793 (2.7474)	Prec@1 32.812 (34.458)	Prec@5 53.125 (64.793)
Epoch: [25][2780/14090]	Time 0.751 (0.768)	Data 0.001 (0.003)	Loss 2.7631 (2.7474)	Prec@1 34.375 (34.456)	Prec@5 64.844 (64.795)
Epoch: [25][2790/14090]	Time 0.775 (0.768)	Data 0.001 (0.002)	Loss 2.8382 (2.7475)	Prec@1 35.938 (34.456)	Prec@5 62.500 (64.793)
Epoch: [25][2800/14090]	Time 0.978 (0.768)	Data 0.001 (0.002)	Loss 2.9268 (2.7474)	Prec@1 31.250 (34.459)	Prec@5 59.375 (64.792)
Epoch: [25][2810/14090]	Time 0.741 (0.768)	Data 0.001 (0.002)	Loss 2.8932 (2.7472)	Prec@1 29.688 (34.460)	Prec@5 60.938 (64.800)
Epoch: [25][2820/14090]	Time 0.734 (0.768)	Data 0.001 (0.002)	Loss 2.5071 (2.7470)	Prec@1 35.938 (34.467)	Prec@5 73.438 (64.804)
Epoch: [25][2830/14090]	Time 0.741 (0.768)	Data 0.001 (0.002)	Loss 2.8537 (2.7472)	Prec@1 28.906 (34.461)	Prec@5 63.281 (64.799)
Epoch: [25][2840/14090]	Time 0.744 (0.768)	Data 0.001 (0.002)	Loss 2.7176 (2.7472)	Prec@1 32.031 (34.461)	Prec@5 63.281 (64.796)
Epoch: [25][2850/14090]	Time 0.724 (0.768)	Data 0.001 (0.002)	Loss 2.4761 (2.7472)	Prec@1 37.500 (34.459)	Prec@5 74.219 (64.798)
Epoch: [25][2860/14090]	Time 0.744 (0.768)	Data 0.001 (0.002)	Loss 2.8155 (2.7476)	Prec@1 39.844 (34.454)	Prec@5 65.625 (64.795)
Epoch: [25][2870/14090]	Time 0.881 (0.768)	Data 0.001 (0.002)	Loss 2.7104 (2.7477)	Prec@1 33.594 (34.448)	Prec@5 64.844 (64.793)
Epoch: [25][2880/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 2.8061 (2.7476)	Prec@1 39.062 (34.453)	Prec@5 60.156 (64.792)
Epoch: [25][2890/14090]	Time 0.738 (0.768)	Data 0.001 (0.002)	Loss 2.6742 (2.7478)	Prec@1 38.281 (34.454)	Prec@5 63.281 (64.790)
Epoch: [25][2900/14090]	Time 0.766 (0.768)	Data 0.001 (0.002)	Loss 2.5981 (2.7478)	Prec@1 39.844 (34.461)	Prec@5 70.312 (64.792)
Epoch: [25][2910/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 2.5849 (2.7475)	Prec@1 36.719 (34.472)	Prec@5 60.156 (64.795)
Epoch: [25][2920/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.7531 (2.7476)	Prec@1 30.469 (34.472)	Prec@5 64.062 (64.791)
Epoch: [25][2930/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 2.6712 (2.7473)	Prec@1 39.062 (34.479)	Prec@5 65.625 (64.801)
Epoch: [25][2940/14090]	Time 0.836 (0.767)	Data 0.001 (0.002)	Loss 2.6855 (2.7471)	Prec@1 39.062 (34.488)	Prec@5 66.406 (64.804)
Epoch: [25][2950/14090]	Time 0.724 (0.767)	Data 0.001 (0.002)	Loss 2.8783 (2.7470)	Prec@1 25.781 (34.489)	Prec@5 64.062 (64.806)
Epoch: [25][2960/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 2.7424 (2.7469)	Prec@1 32.812 (34.490)	Prec@5 69.531 (64.810)
Epoch: [25][2970/14090]	Time 0.728 (0.767)	Data 0.001 (0.002)	Loss 2.6939 (2.7468)	Prec@1 36.719 (34.491)	Prec@5 65.625 (64.809)
Epoch: [25][2980/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 2.5242 (2.7464)	Prec@1 37.500 (34.499)	Prec@5 70.312 (64.820)
Epoch: [25][2990/14090]	Time 0.774 (0.767)	Data 0.001 (0.002)	Loss 3.0959 (2.7464)	Prec@1 25.000 (34.496)	Prec@5 58.594 (64.823)
Epoch: [25][3000/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 2.9668 (2.7466)	Prec@1 28.125 (34.486)	Prec@5 64.062 (64.820)
Epoch: [25][3010/14090]	Time 0.871 (0.767)	Data 0.001 (0.002)	Loss 2.5147 (2.7467)	Prec@1 39.844 (34.483)	Prec@5 65.625 (64.813)
Epoch: [25][3020/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 2.9777 (2.7469)	Prec@1 28.906 (34.478)	Prec@5 60.938 (64.807)
Epoch: [25][3030/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 2.5215 (2.7469)	Prec@1 41.406 (34.473)	Prec@5 67.188 (64.806)
Epoch: [25][3040/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 3.0416 (2.7472)	Prec@1 30.469 (34.469)	Prec@5 57.812 (64.804)
Epoch: [25][3050/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 2.6716 (2.7472)	Prec@1 36.719 (34.471)	Prec@5 69.531 (64.805)
Epoch: [25][3060/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 3.1306 (2.7475)	Prec@1 36.719 (34.468)	Prec@5 58.594 (64.799)
Epoch: [25][3070/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 2.7243 (2.7474)	Prec@1 36.719 (34.473)	Prec@5 68.750 (64.801)
Epoch: [25][3080/14090]	Time 0.891 (0.767)	Data 0.001 (0.002)	Loss 2.3922 (2.7473)	Prec@1 41.406 (34.473)	Prec@5 67.969 (64.801)
Epoch: [25][3090/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 2.8936 (2.7476)	Prec@1 37.500 (34.470)	Prec@5 64.844 (64.795)
Epoch: [25][3100/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 2.7613 (2.7475)	Prec@1 42.188 (34.473)	Prec@5 66.406 (64.798)
Epoch: [25][3110/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 2.7461 (2.7477)	Prec@1 35.938 (34.466)	Prec@5 62.500 (64.791)
Epoch: [25][3120/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 2.4385 (2.7480)	Prec@1 39.844 (34.456)	Prec@5 70.312 (64.782)
Epoch: [25][3130/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 2.5761 (2.7479)	Prec@1 41.406 (34.458)	Prec@5 64.844 (64.780)
Epoch: [25][3140/14090]	Time 0.763 (0.767)	Data 0.001 (0.002)	Loss 2.9863 (2.7482)	Prec@1 26.562 (34.451)	Prec@5 60.938 (64.773)
Epoch: [25][3150/14090]	Time 0.857 (0.767)	Data 0.001 (0.002)	Loss 2.7736 (2.7480)	Prec@1 33.594 (34.452)	Prec@5 65.625 (64.774)
Epoch: [25][3160/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 3.0540 (2.7479)	Prec@1 28.125 (34.454)	Prec@5 62.500 (64.776)
Epoch: [25][3170/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.4777 (2.7476)	Prec@1 37.500 (34.457)	Prec@5 68.750 (64.775)
Epoch: [25][3180/14090]	Time 0.764 (0.767)	Data 0.001 (0.002)	Loss 2.9004 (2.7478)	Prec@1 33.594 (34.450)	Prec@5 61.719 (64.771)
Epoch: [25][3190/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 2.7846 (2.7478)	Prec@1 35.156 (34.445)	Prec@5 63.281 (64.768)
Epoch: [25][3200/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.8546 (2.7477)	Prec@1 28.125 (34.444)	Prec@5 66.406 (64.772)
Epoch: [25][3210/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.6138 (2.7476)	Prec@1 38.281 (34.445)	Prec@5 67.188 (64.771)
Epoch: [25][3220/14090]	Time 0.855 (0.767)	Data 0.001 (0.002)	Loss 2.4438 (2.7476)	Prec@1 42.969 (34.448)	Prec@5 73.438 (64.773)
Epoch: [25][3230/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 2.9804 (2.7477)	Prec@1 34.375 (34.448)	Prec@5 57.812 (64.769)
Epoch: [25][3240/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 2.6538 (2.7480)	Prec@1 32.812 (34.443)	Prec@5 71.875 (64.763)
Epoch: [25][3250/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 3.0917 (2.7480)	Prec@1 28.906 (34.443)	Prec@5 55.469 (64.757)
Epoch: [25][3260/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 2.8621 (2.7483)	Prec@1 32.812 (34.439)	Prec@5 62.500 (64.754)
Epoch: [25][3270/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 2.7445 (2.7484)	Prec@1 33.594 (34.439)	Prec@5 66.406 (64.754)
Epoch: [25][3280/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 2.7653 (2.7487)	Prec@1 33.594 (34.437)	Prec@5 64.844 (64.748)
Epoch: [25][3290/14090]	Time 0.846 (0.767)	Data 0.001 (0.002)	Loss 2.9732 (2.7487)	Prec@1 32.812 (34.433)	Prec@5 56.250 (64.747)
Epoch: [25][3300/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.8454 (2.7486)	Prec@1 30.469 (34.437)	Prec@5 63.281 (64.750)
Epoch: [25][3310/14090]	Time 0.722 (0.767)	Data 0.001 (0.002)	Loss 2.7066 (2.7483)	Prec@1 36.719 (34.441)	Prec@5 67.188 (64.759)
Epoch: [25][3320/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 2.8723 (2.7483)	Prec@1 34.375 (34.440)	Prec@5 57.812 (64.755)
Epoch: [25][3330/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 2.9886 (2.7483)	Prec@1 29.688 (34.443)	Prec@5 60.156 (64.752)
Epoch: [25][3340/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 2.7297 (2.7483)	Prec@1 34.375 (34.447)	Prec@5 67.188 (64.753)
Epoch: [25][3350/14090]	Time 0.757 (0.767)	Data 0.001 (0.002)	Loss 2.4807 (2.7483)	Prec@1 41.406 (34.452)	Prec@5 68.750 (64.752)
Epoch: [25][3360/14090]	Time 0.855 (0.767)	Data 0.001 (0.002)	Loss 2.7249 (2.7483)	Prec@1 28.906 (34.443)	Prec@5 66.406 (64.754)
Epoch: [25][3370/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 2.8205 (2.7482)	Prec@1 35.938 (34.446)	Prec@5 60.156 (64.757)
Epoch: [25][3380/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.5438 (2.7481)	Prec@1 37.500 (34.446)	Prec@5 67.969 (64.759)
Epoch: [25][3390/14090]	Time 0.766 (0.767)	Data 0.001 (0.002)	Loss 2.5169 (2.7479)	Prec@1 39.062 (34.452)	Prec@5 71.094 (64.766)
Epoch: [25][3400/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 2.5619 (2.7477)	Prec@1 35.938 (34.454)	Prec@5 70.312 (64.774)
Epoch: [25][3410/14090]	Time 0.760 (0.767)	Data 0.003 (0.002)	Loss 2.7981 (2.7474)	Prec@1 28.125 (34.454)	Prec@5 63.281 (64.779)
Epoch: [25][3420/14090]	Time 0.761 (0.767)	Data 0.001 (0.002)	Loss 2.3163 (2.7472)	Prec@1 41.406 (34.455)	Prec@5 73.438 (64.788)
Epoch: [25][3430/14090]	Time 0.824 (0.767)	Data 0.001 (0.002)	Loss 2.6347 (2.7475)	Prec@1 38.281 (34.455)	Prec@5 66.406 (64.782)
Epoch: [25][3440/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 2.9988 (2.7474)	Prec@1 31.250 (34.455)	Prec@5 53.125 (64.781)
Epoch: [25][3450/14090]	Time 0.774 (0.767)	Data 0.001 (0.002)	Loss 2.7571 (2.7473)	Prec@1 33.594 (34.456)	Prec@5 64.844 (64.783)
Epoch: [25][3460/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 2.6322 (2.7474)	Prec@1 41.406 (34.456)	Prec@5 64.062 (64.782)
Epoch: [25][3470/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 2.8714 (2.7474)	Prec@1 28.906 (34.457)	Prec@5 57.812 (64.779)
Epoch: [25][3480/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 2.8329 (2.7476)	Prec@1 26.562 (34.451)	Prec@5 57.812 (64.776)
Epoch: [25][3490/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 2.6498 (2.7476)	Prec@1 40.625 (34.454)	Prec@5 65.625 (64.778)
Epoch: [25][3500/14090]	Time 0.852 (0.767)	Data 0.001 (0.002)	Loss 2.4701 (2.7475)	Prec@1 41.406 (34.458)	Prec@5 71.094 (64.779)
Epoch: [25][3510/14090]	Time 0.724 (0.767)	Data 0.001 (0.002)	Loss 2.6763 (2.7476)	Prec@1 37.500 (34.458)	Prec@5 65.625 (64.779)
Epoch: [25][3520/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 2.9669 (2.7477)	Prec@1 31.250 (34.456)	Prec@5 55.469 (64.776)
Epoch: [25][3530/14090]	Time 0.761 (0.767)	Data 0.001 (0.002)	Loss 2.5702 (2.7475)	Prec@1 36.719 (34.459)	Prec@5 65.625 (64.778)
Epoch: [25][3540/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 2.8593 (2.7474)	Prec@1 35.156 (34.463)	Prec@5 64.062 (64.776)
Epoch: [25][3550/14090]	Time 0.725 (0.767)	Data 0.001 (0.002)	Loss 2.7449 (2.7474)	Prec@1 37.500 (34.465)	Prec@5 62.500 (64.773)
Epoch: [25][3560/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 2.7568 (2.7473)	Prec@1 33.594 (34.464)	Prec@5 65.625 (64.777)
Epoch: [25][3570/14090]	Time 0.853 (0.767)	Data 0.001 (0.002)	Loss 2.5956 (2.7472)	Prec@1 35.156 (34.466)	Prec@5 60.938 (64.774)
Epoch: [25][3580/14090]	Time 0.731 (0.767)	Data 0.001 (0.002)	Loss 2.8189 (2.7474)	Prec@1 32.031 (34.466)	Prec@5 62.500 (64.773)
Epoch: [25][3590/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 2.8048 (2.7475)	Prec@1 38.281 (34.466)	Prec@5 64.844 (64.772)
Epoch: [25][3600/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.6783 (2.7477)	Prec@1 29.688 (34.458)	Prec@5 68.750 (64.769)
Epoch: [25][3610/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 2.8116 (2.7481)	Prec@1 33.594 (34.455)	Prec@5 58.594 (64.761)
Epoch: [25][3620/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 2.4400 (2.7482)	Prec@1 36.719 (34.453)	Prec@5 74.219 (64.761)
Epoch: [25][3630/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.6329 (2.7482)	Prec@1 39.062 (34.449)	Prec@5 68.750 (64.762)
Epoch: [25][3640/14090]	Time 0.862 (0.767)	Data 0.001 (0.002)	Loss 2.5770 (2.7483)	Prec@1 35.156 (34.449)	Prec@5 63.281 (64.762)
Epoch: [25][3650/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.7448 (2.7482)	Prec@1 36.719 (34.446)	Prec@5 63.281 (64.762)
Epoch: [25][3660/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.7204 (2.7480)	Prec@1 38.281 (34.454)	Prec@5 63.281 (64.765)
Epoch: [25][3670/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.6127 (2.7479)	Prec@1 39.844 (34.458)	Prec@5 67.188 (64.765)
Epoch: [25][3680/14090]	Time 0.724 (0.767)	Data 0.001 (0.002)	Loss 2.7771 (2.7478)	Prec@1 34.375 (34.459)	Prec@5 68.750 (64.769)
Epoch: [25][3690/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 2.7260 (2.7478)	Prec@1 33.594 (34.460)	Prec@5 63.281 (64.767)
Epoch: [25][3700/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 2.9727 (2.7480)	Prec@1 26.562 (34.455)	Prec@5 64.844 (64.765)
Epoch: [25][3710/14090]	Time 0.898 (0.767)	Data 0.001 (0.002)	Loss 2.6455 (2.7480)	Prec@1 31.250 (34.456)	Prec@5 68.750 (64.764)
Epoch: [25][3720/14090]	Time 0.757 (0.767)	Data 0.001 (0.002)	Loss 2.6289 (2.7480)	Prec@1 35.938 (34.459)	Prec@5 68.750 (64.767)
Epoch: [25][3730/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 2.7173 (2.7482)	Prec@1 35.156 (34.457)	Prec@5 64.844 (64.766)
Epoch: [25][3740/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 2.8020 (2.7482)	Prec@1 32.812 (34.453)	Prec@5 64.844 (64.765)
Epoch: [25][3750/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 2.7909 (2.7484)	Prec@1 33.594 (34.450)	Prec@5 65.625 (64.760)
Epoch: [25][3760/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 2.6357 (2.7486)	Prec@1 37.500 (34.448)	Prec@5 61.719 (64.758)
Epoch: [25][3770/14090]	Time 0.769 (0.767)	Data 0.001 (0.002)	Loss 2.9507 (2.7487)	Prec@1 32.031 (34.446)	Prec@5 63.281 (64.755)
Epoch: [25][3780/14090]	Time 0.841 (0.767)	Data 0.001 (0.002)	Loss 2.8045 (2.7487)	Prec@1 29.688 (34.448)	Prec@5 67.969 (64.756)
Epoch: [25][3790/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 2.5844 (2.7488)	Prec@1 36.719 (34.441)	Prec@5 65.625 (64.752)
Epoch: [25][3800/14090]	Time 0.728 (0.767)	Data 0.001 (0.002)	Loss 2.9184 (2.7488)	Prec@1 34.375 (34.444)	Prec@5 61.719 (64.751)
Epoch: [25][3810/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.7744 (2.7490)	Prec@1 32.812 (34.443)	Prec@5 67.188 (64.748)
Epoch: [25][3820/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 2.5627 (2.7490)	Prec@1 36.719 (34.440)	Prec@5 64.844 (64.746)
Epoch: [25][3830/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 2.9032 (2.7489)	Prec@1 32.812 (34.442)	Prec@5 64.844 (64.750)
Epoch: [25][3840/14090]	Time 0.763 (0.767)	Data 0.001 (0.002)	Loss 2.6036 (2.7488)	Prec@1 29.688 (34.441)	Prec@5 73.438 (64.749)
Epoch: [25][3850/14090]	Time 0.878 (0.767)	Data 0.001 (0.002)	Loss 2.8081 (2.7489)	Prec@1 41.406 (34.437)	Prec@5 68.750 (64.751)
Epoch: [25][3860/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 2.9506 (2.7489)	Prec@1 33.594 (34.436)	Prec@5 59.375 (64.752)
Epoch: [25][3870/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.7264 (2.7488)	Prec@1 36.719 (34.437)	Prec@5 64.062 (64.757)
Epoch: [25][3880/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 2.6735 (2.7488)	Prec@1 35.156 (34.438)	Prec@5 65.625 (64.753)
Epoch: [25][3890/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 2.8353 (2.7486)	Prec@1 33.594 (34.443)	Prec@5 61.719 (64.761)
Epoch: [25][3900/14090]	Time 0.775 (0.767)	Data 0.001 (0.002)	Loss 2.6611 (2.7487)	Prec@1 36.719 (34.442)	Prec@5 68.750 (64.762)
Epoch: [25][3910/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 2.6123 (2.7485)	Prec@1 35.156 (34.447)	Prec@5 66.406 (64.766)
Epoch: [25][3920/14090]	Time 0.881 (0.767)	Data 0.001 (0.002)	Loss 2.4981 (2.7483)	Prec@1 39.062 (34.452)	Prec@5 66.406 (64.770)
Epoch: [25][3930/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.6047 (2.7483)	Prec@1 35.938 (34.457)	Prec@5 66.406 (64.771)
Epoch: [25][3940/14090]	Time 0.727 (0.766)	Data 0.001 (0.002)	Loss 2.7802 (2.7482)	Prec@1 38.281 (34.461)	Prec@5 59.375 (64.768)
Epoch: [25][3950/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.6824 (2.7481)	Prec@1 38.281 (34.465)	Prec@5 63.281 (64.772)
Epoch: [25][3960/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.9378 (2.7478)	Prec@1 30.469 (34.468)	Prec@5 60.156 (64.776)
Epoch: [25][3970/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 2.7474 (2.7479)	Prec@1 35.156 (34.468)	Prec@5 69.531 (64.777)
Epoch: [25][3980/14090]	Time 0.727 (0.766)	Data 0.001 (0.002)	Loss 2.8037 (2.7482)	Prec@1 32.812 (34.464)	Prec@5 65.625 (64.773)
Epoch: [25][3990/14090]	Time 0.874 (0.766)	Data 0.001 (0.002)	Loss 2.8070 (2.7482)	Prec@1 32.031 (34.462)	Prec@5 62.500 (64.773)
Epoch: [25][4000/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 2.6238 (2.7481)	Prec@1 41.406 (34.462)	Prec@5 65.625 (64.774)
Epoch: [25][4010/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 2.8739 (2.7484)	Prec@1 29.688 (34.458)	Prec@5 64.062 (64.773)
Epoch: [25][4020/14090]	Time 0.769 (0.766)	Data 0.001 (0.002)	Loss 2.9770 (2.7486)	Prec@1 33.594 (34.454)	Prec@5 56.250 (64.765)
Epoch: [25][4030/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.5684 (2.7484)	Prec@1 40.625 (34.458)	Prec@5 71.094 (64.771)
Epoch: [25][4040/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.6561 (2.7483)	Prec@1 35.938 (34.461)	Prec@5 67.188 (64.777)
Epoch: [25][4050/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.5944 (2.7485)	Prec@1 35.156 (34.460)	Prec@5 67.969 (64.774)
Epoch: [25][4060/14090]	Time 0.883 (0.766)	Data 0.001 (0.002)	Loss 2.7554 (2.7487)	Prec@1 30.469 (34.457)	Prec@5 64.062 (64.772)
Epoch: [25][4070/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 2.7753 (2.7486)	Prec@1 29.688 (34.457)	Prec@5 62.500 (64.775)
Epoch: [25][4080/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.9303 (2.7487)	Prec@1 28.125 (34.449)	Prec@5 64.844 (64.776)
Epoch: [25][4090/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.4353 (2.7488)	Prec@1 39.062 (34.446)	Prec@5 71.094 (64.776)
Epoch: [25][4100/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.7688 (2.7486)	Prec@1 38.281 (34.450)	Prec@5 63.281 (64.780)
Epoch: [25][4110/14090]	Time 0.727 (0.766)	Data 0.001 (0.002)	Loss 2.6518 (2.7486)	Prec@1 30.469 (34.444)	Prec@5 70.312 (64.780)
Epoch: [25][4120/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.7079 (2.7484)	Prec@1 39.844 (34.449)	Prec@5 64.844 (64.786)
Epoch: [25][4130/14090]	Time 0.854 (0.766)	Data 0.001 (0.002)	Loss 2.5359 (2.7485)	Prec@1 36.719 (34.447)	Prec@5 66.406 (64.784)
Epoch: [25][4140/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 2.8500 (2.7485)	Prec@1 33.594 (34.448)	Prec@5 60.156 (64.782)
Epoch: [25][4150/14090]	Time 0.721 (0.766)	Data 0.001 (0.002)	Loss 2.8159 (2.7485)	Prec@1 33.594 (34.447)	Prec@5 67.969 (64.786)
Epoch: [25][4160/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 2.5969 (2.7483)	Prec@1 36.719 (34.448)	Prec@5 69.531 (64.789)
Epoch: [25][4170/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 2.5876 (2.7482)	Prec@1 37.500 (34.450)	Prec@5 69.531 (64.791)
Epoch: [25][4180/14090]	Time 0.724 (0.766)	Data 0.001 (0.002)	Loss 2.6329 (2.7480)	Prec@1 35.938 (34.451)	Prec@5 68.750 (64.795)
Epoch: [25][4190/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.7860 (2.7479)	Prec@1 34.375 (34.454)	Prec@5 67.188 (64.799)
Epoch: [25][4200/14090]	Time 0.903 (0.766)	Data 0.001 (0.002)	Loss 2.7092 (2.7479)	Prec@1 39.062 (34.453)	Prec@5 63.281 (64.801)
Epoch: [25][4210/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 2.7243 (2.7479)	Prec@1 34.375 (34.459)	Prec@5 67.188 (64.802)
Epoch: [25][4220/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.6013 (2.7478)	Prec@1 39.844 (34.459)	Prec@5 71.094 (64.803)
Epoch: [25][4230/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 2.4784 (2.7478)	Prec@1 39.844 (34.463)	Prec@5 71.875 (64.809)
Epoch: [25][4240/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.9918 (2.7476)	Prec@1 31.250 (34.463)	Prec@5 60.156 (64.812)
Epoch: [25][4250/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 2.6967 (2.7475)	Prec@1 35.938 (34.464)	Prec@5 64.844 (64.814)
Epoch: [25][4260/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 2.8360 (2.7474)	Prec@1 35.156 (34.462)	Prec@5 64.062 (64.811)
Epoch: [25][4270/14090]	Time 0.882 (0.766)	Data 0.001 (0.002)	Loss 2.6016 (2.7474)	Prec@1 35.156 (34.458)	Prec@5 64.062 (64.811)
Epoch: [25][4280/14090]	Time 0.722 (0.766)	Data 0.001 (0.002)	Loss 2.9337 (2.7473)	Prec@1 25.000 (34.460)	Prec@5 61.719 (64.815)
Epoch: [25][4290/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 3.1615 (2.7473)	Prec@1 26.562 (34.461)	Prec@5 60.156 (64.812)
Epoch: [25][4300/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.9512 (2.7476)	Prec@1 28.125 (34.456)	Prec@5 61.719 (64.806)
Epoch: [25][4310/14090]	Time 0.728 (0.766)	Data 0.001 (0.002)	Loss 2.5763 (2.7475)	Prec@1 33.594 (34.457)	Prec@5 67.969 (64.807)
Epoch: [25][4320/14090]	Time 0.725 (0.766)	Data 0.001 (0.002)	Loss 2.6556 (2.7474)	Prec@1 34.375 (34.456)	Prec@5 70.312 (64.808)
Epoch: [25][4330/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.7193 (2.7475)	Prec@1 33.594 (34.453)	Prec@5 63.281 (64.806)
Epoch: [25][4340/14090]	Time 0.850 (0.766)	Data 0.001 (0.002)	Loss 2.7346 (2.7474)	Prec@1 35.938 (34.452)	Prec@5 62.500 (64.807)
Epoch: [25][4350/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 3.1446 (2.7474)	Prec@1 21.094 (34.454)	Prec@5 58.594 (64.809)
Epoch: [25][4360/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.6333 (2.7474)	Prec@1 39.062 (34.456)	Prec@5 68.750 (64.810)
Epoch: [25][4370/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 2.7823 (2.7472)	Prec@1 32.031 (34.460)	Prec@5 65.625 (64.813)
Epoch: [25][4380/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 2.8902 (2.7471)	Prec@1 33.594 (34.458)	Prec@5 66.406 (64.818)
Epoch: [25][4390/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 3.0651 (2.7476)	Prec@1 28.906 (34.449)	Prec@5 58.594 (64.811)
Epoch: [25][4400/14090]	Time 0.763 (0.766)	Data 0.001 (0.002)	Loss 2.7879 (2.7476)	Prec@1 32.812 (34.449)	Prec@5 64.844 (64.813)
Epoch: [25][4410/14090]	Time 0.891 (0.766)	Data 0.001 (0.002)	Loss 2.6824 (2.7476)	Prec@1 29.688 (34.449)	Prec@5 70.312 (64.810)
Epoch: [25][4420/14090]	Time 0.763 (0.766)	Data 0.001 (0.002)	Loss 2.5022 (2.7477)	Prec@1 40.625 (34.446)	Prec@5 68.750 (64.810)
Epoch: [25][4430/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 3.0882 (2.7478)	Prec@1 32.031 (34.444)	Prec@5 58.594 (64.808)
Epoch: [25][4440/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.7215 (2.7478)	Prec@1 31.250 (34.440)	Prec@5 63.281 (64.808)
Epoch: [25][4450/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.4737 (2.7478)	Prec@1 37.500 (34.439)	Prec@5 70.312 (64.808)
Epoch: [25][4460/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 2.8989 (2.7479)	Prec@1 33.594 (34.434)	Prec@5 63.281 (64.808)
Epoch: [25][4470/14090]	Time 0.763 (0.766)	Data 0.001 (0.002)	Loss 2.4085 (2.7478)	Prec@1 42.188 (34.439)	Prec@5 69.531 (64.808)
Epoch: [25][4480/14090]	Time 0.892 (0.766)	Data 0.001 (0.002)	Loss 2.9112 (2.7480)	Prec@1 32.031 (34.432)	Prec@5 63.281 (64.808)
Epoch: [25][4490/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.7656 (2.7478)	Prec@1 28.906 (34.433)	Prec@5 69.531 (64.812)
Epoch: [25][4500/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.8994 (2.7479)	Prec@1 26.562 (34.435)	Prec@5 60.938 (64.812)
Epoch: [25][4510/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 3.0216 (2.7481)	Prec@1 24.219 (34.429)	Prec@5 60.156 (64.808)
Epoch: [25][4520/14090]	Time 0.727 (0.766)	Data 0.001 (0.002)	Loss 2.5931 (2.7481)	Prec@1 35.156 (34.428)	Prec@5 71.875 (64.806)
Epoch: [25][4530/14090]	Time 0.767 (0.766)	Data 0.001 (0.002)	Loss 2.5891 (2.7480)	Prec@1 35.938 (34.428)	Prec@5 71.094 (64.810)
Epoch: [25][4540/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 2.8566 (2.7480)	Prec@1 31.250 (34.430)	Prec@5 60.938 (64.812)
Epoch: [25][4550/14090]	Time 0.839 (0.766)	Data 0.001 (0.002)	Loss 2.7028 (2.7480)	Prec@1 35.938 (34.432)	Prec@5 67.969 (64.814)
Epoch: [25][4560/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 2.9502 (2.7479)	Prec@1 28.906 (34.430)	Prec@5 57.812 (64.815)
Epoch: [25][4570/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.7459 (2.7478)	Prec@1 36.719 (34.432)	Prec@5 70.312 (64.820)
Epoch: [25][4580/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 2.3858 (2.7476)	Prec@1 42.188 (34.436)	Prec@5 69.531 (64.823)
Epoch: [25][4590/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 2.8907 (2.7477)	Prec@1 32.031 (34.435)	Prec@5 60.938 (64.818)
Epoch: [25][4600/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.4867 (2.7475)	Prec@1 37.500 (34.439)	Prec@5 66.406 (64.820)
Epoch: [25][4610/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 2.4554 (2.7477)	Prec@1 38.281 (34.433)	Prec@5 70.312 (64.817)
Epoch: [25][4620/14090]	Time 0.852 (0.766)	Data 0.001 (0.002)	Loss 2.4662 (2.7476)	Prec@1 37.500 (34.433)	Prec@5 70.312 (64.819)
Epoch: [25][4630/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 2.8896 (2.7477)	Prec@1 32.031 (34.430)	Prec@5 62.500 (64.821)
Epoch: [25][4640/14090]	Time 0.761 (0.766)	Data 0.001 (0.002)	Loss 2.7765 (2.7478)	Prec@1 34.375 (34.428)	Prec@5 67.188 (64.817)
Epoch: [25][4650/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.6940 (2.7479)	Prec@1 35.156 (34.427)	Prec@5 66.406 (64.817)
Epoch: [25][4660/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.8206 (2.7480)	Prec@1 35.938 (34.427)	Prec@5 63.281 (64.815)
Epoch: [25][4670/14090]	Time 0.717 (0.766)	Data 0.001 (0.002)	Loss 2.7951 (2.7479)	Prec@1 40.625 (34.432)	Prec@5 69.531 (64.818)
Epoch: [25][4680/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 2.7252 (2.7477)	Prec@1 34.375 (34.434)	Prec@5 64.844 (64.821)
Epoch: [25][4690/14090]	Time 0.879 (0.766)	Data 0.001 (0.002)	Loss 3.0552 (2.7478)	Prec@1 31.250 (34.433)	Prec@5 58.594 (64.823)
Epoch: [25][4700/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 3.0097 (2.7479)	Prec@1 31.250 (34.432)	Prec@5 57.812 (64.817)
Epoch: [25][4710/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.6476 (2.7479)	Prec@1 39.062 (34.434)	Prec@5 64.844 (64.816)
Epoch: [25][4720/14090]	Time 0.763 (0.766)	Data 0.001 (0.002)	Loss 2.6981 (2.7478)	Prec@1 31.250 (34.433)	Prec@5 69.531 (64.820)
Epoch: [25][4730/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.8074 (2.7479)	Prec@1 34.375 (34.429)	Prec@5 66.406 (64.820)
Epoch: [25][4740/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.9773 (2.7478)	Prec@1 32.031 (34.432)	Prec@5 58.594 (64.820)
Epoch: [25][4750/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.6118 (2.7477)	Prec@1 36.719 (34.437)	Prec@5 69.531 (64.824)
Epoch: [25][4760/14090]	Time 0.896 (0.766)	Data 0.001 (0.002)	Loss 2.8476 (2.7477)	Prec@1 34.375 (34.434)	Prec@5 58.594 (64.824)
Epoch: [25][4770/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 2.8671 (2.7478)	Prec@1 34.375 (34.433)	Prec@5 60.938 (64.822)
Epoch: [25][4780/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.9054 (2.7478)	Prec@1 32.812 (34.430)	Prec@5 63.281 (64.821)
Epoch: [25][4790/14090]	Time 0.774 (0.766)	Data 0.001 (0.002)	Loss 2.6578 (2.7476)	Prec@1 36.719 (34.434)	Prec@5 64.844 (64.823)
Epoch: [25][4800/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.6309 (2.7476)	Prec@1 33.594 (34.430)	Prec@5 66.406 (64.826)
Epoch: [25][4810/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 3.0170 (2.7477)	Prec@1 32.812 (34.427)	Prec@5 57.812 (64.823)
Epoch: [25][4820/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 2.9496 (2.7478)	Prec@1 32.031 (34.425)	Prec@5 62.500 (64.816)
Epoch: [25][4830/14090]	Time 0.861 (0.766)	Data 0.001 (0.002)	Loss 2.6340 (2.7477)	Prec@1 37.500 (34.429)	Prec@5 67.969 (64.819)
Epoch: [25][4840/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.5118 (2.7477)	Prec@1 42.969 (34.431)	Prec@5 71.094 (64.817)
Epoch: [25][4850/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 2.6382 (2.7477)	Prec@1 37.500 (34.432)	Prec@5 68.750 (64.818)
Epoch: [25][4860/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.4068 (2.7477)	Prec@1 43.750 (34.432)	Prec@5 68.750 (64.818)
Epoch: [25][4870/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 2.5626 (2.7479)	Prec@1 40.625 (34.428)	Prec@5 64.062 (64.811)
Epoch: [25][4880/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 3.1315 (2.7479)	Prec@1 26.562 (34.428)	Prec@5 58.594 (64.811)
Epoch: [25][4890/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 2.6813 (2.7479)	Prec@1 30.469 (34.426)	Prec@5 62.500 (64.810)
Epoch: [25][4900/14090]	Time 0.859 (0.766)	Data 0.001 (0.002)	Loss 2.7914 (2.7478)	Prec@1 39.062 (34.430)	Prec@5 61.719 (64.812)
Epoch: [25][4910/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.9872 (2.7478)	Prec@1 26.562 (34.430)	Prec@5 61.719 (64.811)
Epoch: [25][4920/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.8686 (2.7479)	Prec@1 32.812 (34.433)	Prec@5 65.625 (64.806)
Epoch: [25][4930/14090]	Time 0.772 (0.766)	Data 0.001 (0.002)	Loss 2.6364 (2.7480)	Prec@1 36.719 (34.432)	Prec@5 66.406 (64.805)
Epoch: [25][4940/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 2.7456 (2.7480)	Prec@1 29.688 (34.429)	Prec@5 66.406 (64.805)
Epoch: [25][4950/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 3.0963 (2.7480)	Prec@1 28.125 (34.429)	Prec@5 55.469 (64.808)
Epoch: [25][4960/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.7289 (2.7481)	Prec@1 33.594 (34.428)	Prec@5 69.531 (64.809)
Epoch: [25][4970/14090]	Time 0.836 (0.766)	Data 0.001 (0.002)	Loss 2.8808 (2.7479)	Prec@1 32.812 (34.431)	Prec@5 60.938 (64.813)
Epoch: [25][4980/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 3.0012 (2.7479)	Prec@1 29.688 (34.433)	Prec@5 58.594 (64.811)
Epoch: [25][4990/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 2.6821 (2.7479)	Prec@1 29.688 (34.430)	Prec@5 65.625 (64.812)
Epoch: [25][5000/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 2.7579 (2.7478)	Prec@1 36.719 (34.432)	Prec@5 62.500 (64.811)
Epoch: [25][5010/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 2.8486 (2.7478)	Prec@1 37.500 (34.433)	Prec@5 64.062 (64.812)
Epoch: [25][5020/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.6948 (2.7478)	Prec@1 38.281 (34.432)	Prec@5 67.969 (64.812)
Epoch: [25][5030/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 2.7798 (2.7479)	Prec@1 33.594 (34.432)	Prec@5 64.844 (64.809)
Epoch: [25][5040/14090]	Time 0.940 (0.766)	Data 0.001 (0.002)	Loss 2.6993 (2.7477)	Prec@1 32.031 (34.435)	Prec@5 66.406 (64.810)
Epoch: [25][5050/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 2.4572 (2.7479)	Prec@1 41.406 (34.432)	Prec@5 71.875 (64.808)
Epoch: [25][5060/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 3.1936 (2.7481)	Prec@1 28.125 (34.425)	Prec@5 57.812 (64.805)
Epoch: [25][5070/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 2.8451 (2.7480)	Prec@1 28.906 (34.426)	Prec@5 62.500 (64.807)
Epoch: [25][5080/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 2.8397 (2.7481)	Prec@1 35.156 (34.425)	Prec@5 60.938 (64.803)
Epoch: [25][5090/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.8279 (2.7481)	Prec@1 29.688 (34.426)	Prec@5 64.062 (64.800)
Epoch: [25][5100/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 2.4339 (2.7481)	Prec@1 35.938 (34.426)	Prec@5 71.875 (64.802)
Epoch: [25][5110/14090]	Time 0.905 (0.766)	Data 0.001 (0.002)	Loss 2.8068 (2.7480)	Prec@1 35.938 (34.427)	Prec@5 64.062 (64.802)
Epoch: [25][5120/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.7195 (2.7480)	Prec@1 36.719 (34.427)	Prec@5 62.500 (64.802)
Epoch: [25][5130/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 2.9720 (2.7480)	Prec@1 30.469 (34.428)	Prec@5 59.375 (64.801)
Epoch: [25][5140/14090]	Time 0.773 (0.766)	Data 0.001 (0.002)	Loss 2.5068 (2.7477)	Prec@1 37.500 (34.429)	Prec@5 71.094 (64.807)
Epoch: [25][5150/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 2.7394 (2.7478)	Prec@1 39.062 (34.428)	Prec@5 66.406 (64.806)
Epoch: [25][5160/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.3824 (2.7479)	Prec@1 42.969 (34.428)	Prec@5 70.312 (64.804)
Epoch: [25][5170/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.7466 (2.7481)	Prec@1 35.156 (34.424)	Prec@5 61.719 (64.800)
Epoch: [25][5180/14090]	Time 0.859 (0.766)	Data 0.001 (0.002)	Loss 2.6541 (2.7483)	Prec@1 35.938 (34.418)	Prec@5 67.188 (64.794)
Epoch: [25][5190/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.5181 (2.7483)	Prec@1 35.938 (34.418)	Prec@5 71.094 (64.798)
Epoch: [25][5200/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.8576 (2.7483)	Prec@1 33.594 (34.416)	Prec@5 64.844 (64.798)
Epoch: [25][5210/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.6960 (2.7483)	Prec@1 35.156 (34.418)	Prec@5 66.406 (64.796)
Epoch: [25][5220/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.5944 (2.7480)	Prec@1 30.469 (34.421)	Prec@5 69.531 (64.804)
Epoch: [25][5230/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.9972 (2.7481)	Prec@1 23.438 (34.417)	Prec@5 60.938 (64.802)
Epoch: [25][5240/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 2.4263 (2.7481)	Prec@1 38.281 (34.417)	Prec@5 67.969 (64.800)
Epoch: [25][5250/14090]	Time 0.845 (0.766)	Data 0.001 (0.002)	Loss 2.6942 (2.7481)	Prec@1 30.469 (34.417)	Prec@5 60.156 (64.798)
Epoch: [25][5260/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.8296 (2.7482)	Prec@1 34.375 (34.415)	Prec@5 58.594 (64.797)
Epoch: [25][5270/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 2.3993 (2.7481)	Prec@1 42.969 (34.419)	Prec@5 70.312 (64.799)
Epoch: [25][5280/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.7182 (2.7482)	Prec@1 31.250 (34.415)	Prec@5 67.188 (64.799)
Epoch: [25][5290/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 2.9535 (2.7481)	Prec@1 32.812 (34.416)	Prec@5 58.594 (64.800)
Epoch: [25][5300/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.7191 (2.7484)	Prec@1 32.031 (34.412)	Prec@5 64.844 (64.795)
Epoch: [25][5310/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 2.7249 (2.7484)	Prec@1 39.062 (34.412)	Prec@5 62.500 (64.793)
Epoch: [25][5320/14090]	Time 0.893 (0.766)	Data 0.001 (0.002)	Loss 2.4116 (2.7483)	Prec@1 39.844 (34.415)	Prec@5 69.531 (64.791)
Epoch: [25][5330/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 2.7107 (2.7484)	Prec@1 36.719 (34.411)	Prec@5 64.062 (64.790)
Epoch: [25][5340/14090]	Time 0.719 (0.766)	Data 0.001 (0.002)	Loss 2.5879 (2.7483)	Prec@1 40.625 (34.414)	Prec@5 68.750 (64.790)
Epoch: [25][5350/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.8779 (2.7484)	Prec@1 28.906 (34.413)	Prec@5 59.375 (64.786)
Epoch: [25][5360/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 2.7205 (2.7484)	Prec@1 32.812 (34.410)	Prec@5 63.281 (64.783)
Epoch: [25][5370/14090]	Time 0.722 (0.766)	Data 0.001 (0.002)	Loss 2.5518 (2.7483)	Prec@1 38.281 (34.412)	Prec@5 72.656 (64.789)
Epoch: [25][5380/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 2.6659 (2.7483)	Prec@1 33.594 (34.410)	Prec@5 64.062 (64.791)
Epoch: [25][5390/14090]	Time 0.867 (0.766)	Data 0.001 (0.002)	Loss 2.8724 (2.7482)	Prec@1 28.906 (34.409)	Prec@5 64.062 (64.791)
Epoch: [25][5400/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.6808 (2.7483)	Prec@1 35.156 (34.407)	Prec@5 66.406 (64.791)
Epoch: [25][5410/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 2.5461 (2.7483)	Prec@1 39.062 (34.408)	Prec@5 68.750 (64.792)
Epoch: [25][5420/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.7148 (2.7482)	Prec@1 39.062 (34.409)	Prec@5 63.281 (64.797)
Epoch: [25][5430/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 2.6986 (2.7482)	Prec@1 35.156 (34.408)	Prec@5 63.281 (64.797)
Epoch: [25][5440/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.5003 (2.7482)	Prec@1 37.500 (34.407)	Prec@5 65.625 (64.795)
Epoch: [25][5450/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 2.5637 (2.7482)	Prec@1 32.812 (34.407)	Prec@5 67.969 (64.796)
Epoch: [25][5460/14090]	Time 0.860 (0.766)	Data 0.001 (0.002)	Loss 2.6308 (2.7479)	Prec@1 34.375 (34.416)	Prec@5 66.406 (64.802)
Epoch: [25][5470/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.5418 (2.7477)	Prec@1 34.375 (34.417)	Prec@5 72.656 (64.805)
Epoch: [25][5480/14090]	Time 0.773 (0.766)	Data 0.001 (0.002)	Loss 2.8744 (2.7478)	Prec@1 31.250 (34.417)	Prec@5 64.062 (64.803)
Epoch: [25][5490/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.6951 (2.7479)	Prec@1 31.250 (34.412)	Prec@5 64.062 (64.800)
Epoch: [25][5500/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 3.1026 (2.7480)	Prec@1 32.812 (34.413)	Prec@5 60.938 (64.799)
Epoch: [25][5510/14090]	Time 0.771 (0.766)	Data 0.001 (0.002)	Loss 2.8483 (2.7479)	Prec@1 27.344 (34.416)	Prec@5 60.938 (64.800)
Epoch: [25][5520/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 2.6256 (2.7477)	Prec@1 36.719 (34.418)	Prec@5 65.625 (64.807)
Epoch: [25][5530/14090]	Time 0.876 (0.766)	Data 0.001 (0.002)	Loss 3.0127 (2.7478)	Prec@1 30.469 (34.417)	Prec@5 55.469 (64.805)
Epoch: [25][5540/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 2.9280 (2.7476)	Prec@1 35.156 (34.421)	Prec@5 59.375 (64.807)
Epoch: [25][5550/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.8468 (2.7477)	Prec@1 30.469 (34.419)	Prec@5 57.812 (64.805)
Epoch: [25][5560/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 2.3782 (2.7475)	Prec@1 39.062 (34.422)	Prec@5 71.094 (64.808)
Epoch: [25][5570/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 2.7615 (2.7474)	Prec@1 35.156 (34.425)	Prec@5 64.844 (64.813)
Epoch: [25][5580/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 2.7604 (2.7475)	Prec@1 32.031 (34.423)	Prec@5 61.719 (64.810)
Epoch: [25][5590/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 2.6983 (2.7476)	Prec@1 37.500 (34.419)	Prec@5 62.500 (64.804)
Epoch: [25][5600/14090]	Time 0.903 (0.766)	Data 0.001 (0.002)	Loss 2.5430 (2.7476)	Prec@1 32.031 (34.420)	Prec@5 67.188 (64.807)
Epoch: [25][5610/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.5451 (2.7474)	Prec@1 39.844 (34.421)	Prec@5 66.406 (64.809)
Epoch: [25][5620/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 2.5205 (2.7474)	Prec@1 35.938 (34.419)	Prec@5 71.094 (64.810)
Epoch: [25][5630/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.7166 (2.7474)	Prec@1 39.062 (34.422)	Prec@5 61.719 (64.808)
Epoch: [25][5640/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 2.5215 (2.7473)	Prec@1 35.156 (34.424)	Prec@5 67.188 (64.811)
Epoch: [25][5650/14090]	Time 0.767 (0.766)	Data 0.001 (0.002)	Loss 2.9333 (2.7474)	Prec@1 32.031 (34.424)	Prec@5 62.500 (64.808)
Epoch: [25][5660/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.9238 (2.7475)	Prec@1 28.125 (34.422)	Prec@5 57.812 (64.807)
Epoch: [25][5670/14090]	Time 0.887 (0.766)	Data 0.001 (0.002)	Loss 2.7227 (2.7477)	Prec@1 31.250 (34.417)	Prec@5 64.844 (64.805)
Epoch: [25][5680/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 2.6872 (2.7477)	Prec@1 37.500 (34.417)	Prec@5 64.062 (64.805)
Epoch: [25][5690/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 2.9048 (2.7479)	Prec@1 28.125 (34.411)	Prec@5 64.062 (64.804)
Epoch: [25][5700/14090]	Time 0.779 (0.766)	Data 0.001 (0.002)	Loss 2.5835 (2.7480)	Prec@1 40.625 (34.410)	Prec@5 67.188 (64.802)
Epoch: [25][5710/14090]	Time 0.768 (0.766)	Data 0.001 (0.002)	Loss 3.3359 (2.7481)	Prec@1 25.000 (34.410)	Prec@5 50.781 (64.798)
Epoch: [25][5720/14090]	Time 0.772 (0.766)	Data 0.001 (0.002)	Loss 2.6136 (2.7482)	Prec@1 41.406 (34.409)	Prec@5 72.656 (64.798)
Epoch: [25][5730/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.7179 (2.7482)	Prec@1 31.250 (34.407)	Prec@5 66.406 (64.797)
Epoch: [25][5740/14090]	Time 0.837 (0.766)	Data 0.001 (0.002)	Loss 2.4764 (2.7482)	Prec@1 37.500 (34.409)	Prec@5 74.219 (64.801)
Epoch: [25][5750/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 2.7818 (2.7481)	Prec@1 33.594 (34.410)	Prec@5 65.625 (64.802)
Epoch: [25][5760/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.7177 (2.7482)	Prec@1 36.719 (34.411)	Prec@5 64.844 (64.800)
Epoch: [25][5770/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.8965 (2.7482)	Prec@1 29.688 (34.414)	Prec@5 63.281 (64.801)
Epoch: [25][5780/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.7964 (2.7482)	Prec@1 35.938 (34.415)	Prec@5 62.500 (64.799)
Epoch: [25][5790/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 2.6828 (2.7482)	Prec@1 37.500 (34.416)	Prec@5 65.625 (64.801)
Epoch: [25][5800/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 3.0775 (2.7482)	Prec@1 29.688 (34.418)	Prec@5 59.375 (64.799)
Epoch: [25][5810/14090]	Time 0.858 (0.766)	Data 0.001 (0.002)	Loss 2.7947 (2.7483)	Prec@1 30.469 (34.414)	Prec@5 67.188 (64.798)
Epoch: [25][5820/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.7872 (2.7483)	Prec@1 35.156 (34.415)	Prec@5 64.062 (64.795)
Epoch: [25][5830/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 2.9025 (2.7484)	Prec@1 30.469 (34.412)	Prec@5 65.625 (64.794)
Epoch: [25][5840/14090]	Time 0.789 (0.766)	Data 0.001 (0.002)	Loss 2.8004 (2.7484)	Prec@1 28.906 (34.410)	Prec@5 66.406 (64.795)
Epoch: [25][5850/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.5611 (2.7485)	Prec@1 42.969 (34.409)	Prec@5 70.312 (64.793)
Epoch: [25][5860/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 2.7611 (2.7485)	Prec@1 26.562 (34.407)	Prec@5 63.281 (64.792)
Epoch: [25][5870/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.7217 (2.7486)	Prec@1 34.375 (34.404)	Prec@5 67.188 (64.790)
Epoch: [25][5880/14090]	Time 0.986 (0.766)	Data 0.001 (0.002)	Loss 2.8903 (2.7487)	Prec@1 29.688 (34.404)	Prec@5 60.156 (64.789)
Epoch: [25][5890/14090]	Time 0.727 (0.766)	Data 0.001 (0.002)	Loss 2.7837 (2.7486)	Prec@1 29.688 (34.404)	Prec@5 62.500 (64.790)
Epoch: [25][5900/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 2.5807 (2.7486)	Prec@1 41.406 (34.406)	Prec@5 71.094 (64.790)
Epoch: [25][5910/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 3.0624 (2.7486)	Prec@1 30.469 (34.408)	Prec@5 62.500 (64.789)
Epoch: [25][5920/14090]	Time 0.724 (0.766)	Data 0.001 (0.002)	Loss 2.4791 (2.7487)	Prec@1 41.406 (34.408)	Prec@5 73.438 (64.786)
Epoch: [25][5930/14090]	Time 0.779 (0.766)	Data 0.001 (0.002)	Loss 2.7505 (2.7488)	Prec@1 35.938 (34.406)	Prec@5 66.406 (64.784)
Epoch: [25][5940/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 2.9068 (2.7489)	Prec@1 28.125 (34.403)	Prec@5 62.500 (64.782)
Epoch: [25][5950/14090]	Time 0.834 (0.766)	Data 0.001 (0.002)	Loss 2.7971 (2.7490)	Prec@1 29.688 (34.401)	Prec@5 67.969 (64.781)
Epoch: [25][5960/14090]	Time 0.721 (0.766)	Data 0.001 (0.002)	Loss 2.6724 (2.7491)	Prec@1 35.156 (34.398)	Prec@5 66.406 (64.779)
Epoch: [25][5970/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.6759 (2.7491)	Prec@1 35.156 (34.398)	Prec@5 66.406 (64.779)
Epoch: [25][5980/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 2.7193 (2.7491)	Prec@1 35.938 (34.401)	Prec@5 64.062 (64.778)
Epoch: [25][5990/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.7737 (2.7490)	Prec@1 35.156 (34.403)	Prec@5 60.938 (64.779)
Epoch: [25][6000/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 2.8294 (2.7489)	Prec@1 30.469 (34.401)	Prec@5 64.844 (64.780)
Epoch: [25][6010/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 2.7458 (2.7488)	Prec@1 35.938 (34.402)	Prec@5 62.500 (64.778)
Epoch: [25][6020/14090]	Time 0.846 (0.766)	Data 0.001 (0.002)	Loss 2.7929 (2.7488)	Prec@1 35.156 (34.402)	Prec@5 63.281 (64.776)
Epoch: [25][6030/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.8125 (2.7489)	Prec@1 26.562 (34.403)	Prec@5 63.281 (64.774)
Epoch: [25][6040/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.6643 (2.7489)	Prec@1 32.812 (34.402)	Prec@5 67.969 (64.774)
Epoch: [25][6050/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.8349 (2.7490)	Prec@1 35.938 (34.401)	Prec@5 66.406 (64.773)
Epoch: [25][6060/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.6916 (2.7491)	Prec@1 38.281 (34.401)	Prec@5 64.062 (64.768)
Epoch: [25][6070/14090]	Time 0.761 (0.766)	Data 0.001 (0.002)	Loss 2.6593 (2.7489)	Prec@1 34.375 (34.406)	Prec@5 64.844 (64.773)
Epoch: [25][6080/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.8330 (2.7490)	Prec@1 33.594 (34.407)	Prec@5 63.281 (64.773)
Epoch: [25][6090/14090]	Time 0.853 (0.766)	Data 0.001 (0.002)	Loss 2.7955 (2.7487)	Prec@1 32.031 (34.411)	Prec@5 67.969 (64.780)
Epoch: [25][6100/14090]	Time 0.727 (0.766)	Data 0.001 (0.002)	Loss 2.8642 (2.7487)	Prec@1 33.594 (34.410)	Prec@5 66.406 (64.780)
Epoch: [25][6110/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.8255 (2.7487)	Prec@1 33.594 (34.411)	Prec@5 62.500 (64.780)
Epoch: [25][6120/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.8096 (2.7488)	Prec@1 36.719 (34.413)	Prec@5 65.625 (64.778)
Epoch: [25][6130/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 2.6470 (2.7489)	Prec@1 37.500 (34.412)	Prec@5 65.625 (64.779)
Epoch: [25][6140/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 2.8040 (2.7489)	Prec@1 31.250 (34.412)	Prec@5 61.719 (64.778)
Epoch: [25][6150/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.6645 (2.7488)	Prec@1 40.625 (34.413)	Prec@5 70.312 (64.780)
Epoch: [25][6160/14090]	Time 0.997 (0.766)	Data 0.001 (0.002)	Loss 3.0330 (2.7488)	Prec@1 26.562 (34.413)	Prec@5 59.375 (64.780)
Epoch: [25][6170/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 2.9041 (2.7488)	Prec@1 37.500 (34.416)	Prec@5 60.156 (64.779)
Epoch: [25][6180/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.8481 (2.7488)	Prec@1 27.344 (34.414)	Prec@5 58.594 (64.777)
Epoch: [25][6190/14090]	Time 0.785 (0.766)	Data 0.001 (0.002)	Loss 3.0491 (2.7489)	Prec@1 29.688 (34.414)	Prec@5 56.250 (64.774)
Epoch: [25][6200/14090]	Time 0.727 (0.766)	Data 0.002 (0.002)	Loss 2.6079 (2.7489)	Prec@1 40.625 (34.414)	Prec@5 66.406 (64.772)
Epoch: [25][6210/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 2.6791 (2.7491)	Prec@1 31.250 (34.409)	Prec@5 64.844 (64.766)
Epoch: [25][6220/14090]	Time 0.769 (0.766)	Data 0.001 (0.002)	Loss 2.6629 (2.7492)	Prec@1 35.938 (34.407)	Prec@5 65.625 (64.765)
Epoch: [25][6230/14090]	Time 0.879 (0.766)	Data 0.001 (0.002)	Loss 2.4351 (2.7492)	Prec@1 42.188 (34.407)	Prec@5 71.875 (64.766)
Epoch: [25][6240/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 2.6216 (2.7492)	Prec@1 38.281 (34.408)	Prec@5 64.062 (64.766)
Epoch: [25][6250/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.8849 (2.7491)	Prec@1 30.469 (34.408)	Prec@5 59.375 (64.767)
Epoch: [25][6260/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 2.7552 (2.7492)	Prec@1 31.250 (34.407)	Prec@5 64.844 (64.767)
Epoch: [25][6270/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.6259 (2.7492)	Prec@1 41.406 (34.407)	Prec@5 67.188 (64.767)
Epoch: [25][6280/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 2.9831 (2.7492)	Prec@1 26.562 (34.406)	Prec@5 63.281 (64.768)
Epoch: [25][6290/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 3.1074 (2.7493)	Prec@1 23.438 (34.404)	Prec@5 63.281 (64.768)
Epoch: [25][6300/14090]	Time 0.877 (0.766)	Data 0.001 (0.002)	Loss 3.0274 (2.7493)	Prec@1 30.469 (34.404)	Prec@5 60.156 (64.770)
Epoch: [25][6310/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 3.1372 (2.7494)	Prec@1 26.562 (34.399)	Prec@5 60.156 (64.768)
Epoch: [25][6320/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 2.8589 (2.7494)	Prec@1 35.156 (34.399)	Prec@5 60.938 (64.768)
Epoch: [25][6330/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 2.7635 (2.7493)	Prec@1 34.375 (34.403)	Prec@5 66.406 (64.771)
Epoch: [25][6340/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.7287 (2.7493)	Prec@1 37.500 (34.403)	Prec@5 67.188 (64.771)
Epoch: [25][6350/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 2.8578 (2.7494)	Prec@1 28.906 (34.403)	Prec@5 62.500 (64.769)
Epoch: [25][6360/14090]	Time 0.764 (0.766)	Data 0.002 (0.002)	Loss 2.6022 (2.7492)	Prec@1 36.719 (34.403)	Prec@5 64.844 (64.771)
Epoch: [25][6370/14090]	Time 0.815 (0.766)	Data 0.001 (0.002)	Loss 2.6208 (2.7492)	Prec@1 35.938 (34.406)	Prec@5 67.188 (64.772)
Epoch: [25][6380/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.8750 (2.7491)	Prec@1 30.469 (34.406)	Prec@5 63.281 (64.773)
Epoch: [25][6390/14090]	Time 0.727 (0.766)	Data 0.001 (0.002)	Loss 2.7689 (2.7491)	Prec@1 33.594 (34.404)	Prec@5 61.719 (64.773)
Epoch: [25][6400/14090]	Time 0.777 (0.766)	Data 0.001 (0.002)	Loss 2.7079 (2.7491)	Prec@1 32.812 (34.405)	Prec@5 66.406 (64.773)
Epoch: [25][6410/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.8701 (2.7490)	Prec@1 29.688 (34.407)	Prec@5 60.938 (64.773)
Epoch: [25][6420/14090]	Time 0.765 (0.766)	Data 0.001 (0.002)	Loss 2.5093 (2.7490)	Prec@1 34.375 (34.407)	Prec@5 70.312 (64.775)
Epoch: [25][6430/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.8447 (2.7490)	Prec@1 33.594 (34.406)	Prec@5 60.156 (64.772)
Epoch: [25][6440/14090]	Time 0.897 (0.766)	Data 0.001 (0.002)	Loss 2.8073 (2.7489)	Prec@1 34.375 (34.408)	Prec@5 66.406 (64.772)
Epoch: [25][6450/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 2.7570 (2.7489)	Prec@1 32.812 (34.410)	Prec@5 63.281 (64.772)
Epoch: [25][6460/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 2.7833 (2.7488)	Prec@1 28.906 (34.412)	Prec@5 66.406 (64.775)
Epoch: [25][6470/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 3.1214 (2.7488)	Prec@1 26.562 (34.412)	Prec@5 56.250 (64.773)
Epoch: [25][6480/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 3.0366 (2.7488)	Prec@1 28.125 (34.412)	Prec@5 58.594 (64.772)
Epoch: [25][6490/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 2.6747 (2.7488)	Prec@1 34.375 (34.410)	Prec@5 67.188 (64.771)
Epoch: [25][6500/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.8377 (2.7488)	Prec@1 31.250 (34.411)	Prec@5 64.062 (64.771)
Epoch: [25][6510/14090]	Time 0.840 (0.766)	Data 0.001 (0.002)	Loss 2.7077 (2.7488)	Prec@1 34.375 (34.410)	Prec@5 70.312 (64.770)
Epoch: [25][6520/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 2.5764 (2.7488)	Prec@1 32.812 (34.411)	Prec@5 66.406 (64.770)
Epoch: [25][6530/14090]	Time 0.773 (0.766)	Data 0.001 (0.002)	Loss 2.7552 (2.7487)	Prec@1 32.031 (34.411)	Prec@5 65.625 (64.771)
Epoch: [25][6540/14090]	Time 0.724 (0.766)	Data 0.001 (0.002)	Loss 2.5424 (2.7489)	Prec@1 37.500 (34.409)	Prec@5 67.188 (64.767)
Epoch: [25][6550/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 3.3466 (2.7492)	Prec@1 25.000 (34.405)	Prec@5 53.125 (64.762)
Epoch: [25][6560/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 2.9855 (2.7492)	Prec@1 27.344 (34.406)	Prec@5 59.375 (64.761)
Epoch: [25][6570/14090]	Time 0.722 (0.766)	Data 0.001 (0.002)	Loss 2.7032 (2.7492)	Prec@1 29.688 (34.403)	Prec@5 66.406 (64.761)
Epoch: [25][6580/14090]	Time 0.881 (0.766)	Data 0.001 (0.002)	Loss 2.8473 (2.7491)	Prec@1 29.688 (34.404)	Prec@5 64.844 (64.763)
Epoch: [25][6590/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.5654 (2.7491)	Prec@1 35.938 (34.403)	Prec@5 62.500 (64.761)
Epoch: [25][6600/14090]	Time 0.776 (0.766)	Data 0.001 (0.002)	Loss 2.9135 (2.7491)	Prec@1 26.562 (34.402)	Prec@5 61.719 (64.764)
Epoch: [25][6610/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 2.8583 (2.7491)	Prec@1 33.594 (34.403)	Prec@5 60.156 (64.763)
Epoch: [25][6620/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 3.0160 (2.7492)	Prec@1 29.688 (34.400)	Prec@5 59.375 (64.761)
Epoch: [25][6630/14090]	Time 0.768 (0.766)	Data 0.001 (0.002)	Loss 2.7802 (2.7494)	Prec@1 36.719 (34.399)	Prec@5 62.500 (64.756)
Epoch: [25][6640/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.7608 (2.7494)	Prec@1 34.375 (34.397)	Prec@5 64.844 (64.756)
Epoch: [25][6650/14090]	Time 0.830 (0.766)	Data 0.001 (0.002)	Loss 2.8327 (2.7494)	Prec@1 32.031 (34.399)	Prec@5 65.625 (64.756)
Epoch: [25][6660/14090]	Time 0.721 (0.766)	Data 0.001 (0.002)	Loss 2.7062 (2.7493)	Prec@1 30.469 (34.400)	Prec@5 64.844 (64.759)
Epoch: [25][6670/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.8568 (2.7493)	Prec@1 33.594 (34.402)	Prec@5 60.156 (64.757)
Epoch: [25][6680/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 2.9131 (2.7493)	Prec@1 28.125 (34.401)	Prec@5 60.938 (64.757)
Epoch: [25][6690/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.4417 (2.7492)	Prec@1 38.281 (34.405)	Prec@5 73.438 (64.759)
Epoch: [25][6700/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 2.7289 (2.7493)	Prec@1 31.250 (34.403)	Prec@5 67.969 (64.758)
Epoch: [25][6710/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.7721 (2.7493)	Prec@1 33.594 (34.402)	Prec@5 64.844 (64.758)
Epoch: [25][6720/14090]	Time 0.830 (0.766)	Data 0.001 (0.002)	Loss 3.1541 (2.7493)	Prec@1 28.906 (34.401)	Prec@5 53.125 (64.758)
Epoch: [25][6730/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 2.8853 (2.7492)	Prec@1 32.812 (34.401)	Prec@5 63.281 (64.759)
Epoch: [25][6740/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.9912 (2.7494)	Prec@1 29.688 (34.397)	Prec@5 56.250 (64.755)
Epoch: [25][6750/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 2.8479 (2.7495)	Prec@1 29.688 (34.396)	Prec@5 63.281 (64.752)
Epoch: [25][6760/14090]	Time 0.786 (0.766)	Data 0.001 (0.002)	Loss 2.4933 (2.7494)	Prec@1 37.500 (34.400)	Prec@5 70.312 (64.755)
Epoch: [25][6770/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.7351 (2.7493)	Prec@1 32.031 (34.402)	Prec@5 65.625 (64.755)
Epoch: [25][6780/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.6093 (2.7493)	Prec@1 42.188 (34.399)	Prec@5 67.969 (64.756)
Epoch: [25][6790/14090]	Time 0.841 (0.766)	Data 0.001 (0.002)	Loss 2.8291 (2.7493)	Prec@1 29.688 (34.398)	Prec@5 60.156 (64.758)
Epoch: [25][6800/14090]	Time 0.724 (0.766)	Data 0.001 (0.002)	Loss 2.6837 (2.7494)	Prec@1 34.375 (34.395)	Prec@5 64.062 (64.756)
Epoch: [25][6810/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.4995 (2.7494)	Prec@1 36.719 (34.394)	Prec@5 71.094 (64.760)
Epoch: [25][6820/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.6553 (2.7495)	Prec@1 35.938 (34.393)	Prec@5 67.969 (64.758)
Epoch: [25][6830/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.8631 (2.7495)	Prec@1 35.156 (34.394)	Prec@5 62.500 (64.757)
Epoch: [25][6840/14090]	Time 0.768 (0.766)	Data 0.001 (0.001)	Loss 2.8588 (2.7496)	Prec@1 28.125 (34.393)	Prec@5 66.406 (64.759)
Epoch: [25][6850/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.7977 (2.7496)	Prec@1 36.719 (34.395)	Prec@5 65.625 (64.759)
Epoch: [25][6860/14090]	Time 0.856 (0.766)	Data 0.001 (0.001)	Loss 2.8280 (2.7496)	Prec@1 29.688 (34.395)	Prec@5 66.406 (64.758)
Epoch: [25][6870/14090]	Time 0.765 (0.766)	Data 0.001 (0.001)	Loss 2.9083 (2.7496)	Prec@1 32.031 (34.393)	Prec@5 62.500 (64.758)
Epoch: [25][6880/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.8119 (2.7496)	Prec@1 33.594 (34.394)	Prec@5 65.625 (64.757)
Epoch: [25][6890/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.7482 (2.7496)	Prec@1 37.500 (34.395)	Prec@5 64.844 (64.758)
Epoch: [25][6900/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.8146 (2.7496)	Prec@1 35.938 (34.394)	Prec@5 63.281 (64.756)
Epoch: [25][6910/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.7416 (2.7495)	Prec@1 28.125 (34.397)	Prec@5 62.500 (64.760)
Epoch: [25][6920/14090]	Time 0.777 (0.766)	Data 0.001 (0.001)	Loss 2.7737 (2.7493)	Prec@1 35.938 (34.401)	Prec@5 64.844 (64.761)
Epoch: [25][6930/14090]	Time 0.863 (0.766)	Data 0.001 (0.001)	Loss 2.7784 (2.7491)	Prec@1 33.594 (34.404)	Prec@5 70.312 (64.767)
Epoch: [25][6940/14090]	Time 0.718 (0.766)	Data 0.001 (0.001)	Loss 3.1503 (2.7492)	Prec@1 28.906 (34.404)	Prec@5 60.156 (64.767)
Epoch: [25][6950/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.8886 (2.7492)	Prec@1 35.938 (34.406)	Prec@5 57.812 (64.767)
Epoch: [25][6960/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.6658 (2.7491)	Prec@1 36.719 (34.408)	Prec@5 66.406 (64.768)
Epoch: [25][6970/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.8763 (2.7491)	Prec@1 28.906 (34.407)	Prec@5 62.500 (64.768)
Epoch: [25][6980/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.9384 (2.7491)	Prec@1 40.625 (34.410)	Prec@5 62.500 (64.766)
Epoch: [25][6990/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.9511 (2.7491)	Prec@1 28.125 (34.409)	Prec@5 54.688 (64.767)
Epoch: [25][7000/14090]	Time 0.854 (0.766)	Data 0.001 (0.001)	Loss 2.8517 (2.7491)	Prec@1 31.250 (34.410)	Prec@5 67.969 (64.767)
Epoch: [25][7010/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.9861 (2.7490)	Prec@1 27.344 (34.411)	Prec@5 60.156 (64.768)
Epoch: [25][7020/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.7613 (2.7489)	Prec@1 32.812 (34.411)	Prec@5 62.500 (64.769)
Epoch: [25][7030/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.6672 (2.7490)	Prec@1 36.719 (34.408)	Prec@5 64.062 (64.767)
Epoch: [25][7040/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.6001 (2.7488)	Prec@1 41.406 (34.410)	Prec@5 71.094 (64.768)
Epoch: [25][7050/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.7927 (2.7487)	Prec@1 33.594 (34.410)	Prec@5 64.844 (64.771)
Epoch: [25][7060/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.9276 (2.7487)	Prec@1 30.469 (34.410)	Prec@5 60.938 (64.770)
Epoch: [25][7070/14090]	Time 0.882 (0.766)	Data 0.002 (0.001)	Loss 2.7952 (2.7487)	Prec@1 39.062 (34.411)	Prec@5 67.188 (64.772)
Epoch: [25][7080/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.8288 (2.7488)	Prec@1 32.031 (34.409)	Prec@5 60.938 (64.769)
Epoch: [25][7090/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 2.7151 (2.7489)	Prec@1 33.594 (34.409)	Prec@5 67.188 (64.770)
Epoch: [25][7100/14090]	Time 0.776 (0.766)	Data 0.001 (0.001)	Loss 3.0174 (2.7489)	Prec@1 27.344 (34.407)	Prec@5 58.594 (64.769)
Epoch: [25][7110/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.6359 (2.7490)	Prec@1 34.375 (34.406)	Prec@5 71.875 (64.769)
Epoch: [25][7120/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 3.2433 (2.7492)	Prec@1 23.438 (34.405)	Prec@5 55.469 (64.767)
Epoch: [25][7130/14090]	Time 0.722 (0.766)	Data 0.001 (0.001)	Loss 2.7574 (2.7491)	Prec@1 36.719 (34.404)	Prec@5 62.500 (64.768)
Epoch: [25][7140/14090]	Time 0.868 (0.766)	Data 0.001 (0.001)	Loss 2.4662 (2.7491)	Prec@1 42.969 (34.404)	Prec@5 67.188 (64.766)
Epoch: [25][7150/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 3.0379 (2.7491)	Prec@1 31.250 (34.405)	Prec@5 55.469 (64.766)
Epoch: [25][7160/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.7296 (2.7491)	Prec@1 32.812 (34.403)	Prec@5 65.625 (64.767)
Epoch: [25][7170/14090]	Time 0.724 (0.766)	Data 0.001 (0.001)	Loss 2.7898 (2.7490)	Prec@1 31.250 (34.404)	Prec@5 62.500 (64.768)
Epoch: [25][7180/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 3.0936 (2.7489)	Prec@1 28.906 (34.404)	Prec@5 56.250 (64.771)
Epoch: [25][7190/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.9662 (2.7489)	Prec@1 32.812 (34.405)	Prec@5 60.938 (64.770)
Epoch: [25][7200/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.7446 (2.7489)	Prec@1 35.156 (34.405)	Prec@5 60.156 (64.770)
Epoch: [25][7210/14090]	Time 0.869 (0.766)	Data 0.001 (0.001)	Loss 2.3980 (2.7488)	Prec@1 42.188 (34.408)	Prec@5 68.750 (64.771)
Epoch: [25][7220/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.5932 (2.7487)	Prec@1 35.938 (34.409)	Prec@5 60.938 (64.771)
Epoch: [25][7230/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.8614 (2.7487)	Prec@1 34.375 (34.408)	Prec@5 63.281 (64.771)
Epoch: [25][7240/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.5944 (2.7487)	Prec@1 34.375 (34.406)	Prec@5 68.750 (64.773)
Epoch: [25][7250/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.6022 (2.7487)	Prec@1 39.062 (34.406)	Prec@5 69.531 (64.774)
Epoch: [25][7260/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.8684 (2.7488)	Prec@1 29.688 (34.405)	Prec@5 64.844 (64.773)
Epoch: [25][7270/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 3.0472 (2.7488)	Prec@1 32.812 (34.408)	Prec@5 55.469 (64.772)
Epoch: [25][7280/14090]	Time 0.882 (0.766)	Data 0.001 (0.001)	Loss 2.9061 (2.7488)	Prec@1 30.469 (34.407)	Prec@5 62.500 (64.772)
Epoch: [25][7290/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.7774 (2.7489)	Prec@1 38.281 (34.407)	Prec@5 64.844 (64.772)
Epoch: [25][7300/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 2.5641 (2.7489)	Prec@1 33.594 (34.405)	Prec@5 67.188 (64.771)
Epoch: [25][7310/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.8048 (2.7489)	Prec@1 31.250 (34.405)	Prec@5 58.594 (64.770)
Epoch: [25][7320/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.6582 (2.7489)	Prec@1 32.812 (34.404)	Prec@5 67.188 (64.774)
Epoch: [25][7330/14090]	Time 0.765 (0.766)	Data 0.001 (0.001)	Loss 2.7744 (2.7489)	Prec@1 31.250 (34.404)	Prec@5 63.281 (64.776)
Epoch: [25][7340/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.5307 (2.7490)	Prec@1 32.031 (34.404)	Prec@5 67.969 (64.774)
Epoch: [25][7350/14090]	Time 0.880 (0.766)	Data 0.001 (0.001)	Loss 3.0360 (2.7491)	Prec@1 29.688 (34.402)	Prec@5 58.594 (64.770)
Epoch: [25][7360/14090]	Time 0.771 (0.766)	Data 0.001 (0.001)	Loss 2.8669 (2.7493)	Prec@1 32.812 (34.401)	Prec@5 62.500 (64.767)
Epoch: [25][7370/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.3884 (2.7491)	Prec@1 44.531 (34.405)	Prec@5 71.875 (64.768)
Epoch: [25][7380/14090]	Time 0.771 (0.766)	Data 0.001 (0.001)	Loss 2.9784 (2.7492)	Prec@1 24.219 (34.402)	Prec@5 66.406 (64.767)
Epoch: [25][7390/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.6840 (2.7492)	Prec@1 41.406 (34.404)	Prec@5 66.406 (64.768)
Epoch: [25][7400/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.6047 (2.7493)	Prec@1 38.281 (34.401)	Prec@5 67.188 (64.765)
Epoch: [25][7410/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 3.0155 (2.7495)	Prec@1 32.031 (34.398)	Prec@5 57.812 (64.762)
Epoch: [25][7420/14090]	Time 0.830 (0.766)	Data 0.001 (0.001)	Loss 3.0329 (2.7494)	Prec@1 28.906 (34.402)	Prec@5 60.156 (64.763)
Epoch: [25][7430/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.8892 (2.7495)	Prec@1 36.719 (34.401)	Prec@5 59.375 (64.762)
Epoch: [25][7440/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.6524 (2.7495)	Prec@1 36.719 (34.399)	Prec@5 67.969 (64.761)
Epoch: [25][7450/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.7184 (2.7494)	Prec@1 39.844 (34.401)	Prec@5 65.625 (64.763)
Epoch: [25][7460/14090]	Time 0.724 (0.766)	Data 0.001 (0.001)	Loss 2.7841 (2.7496)	Prec@1 33.594 (34.400)	Prec@5 64.062 (64.761)
Epoch: [25][7470/14090]	Time 0.767 (0.766)	Data 0.001 (0.001)	Loss 2.8330 (2.7496)	Prec@1 30.469 (34.398)	Prec@5 67.188 (64.761)
Epoch: [25][7480/14090]	Time 0.772 (0.766)	Data 0.001 (0.001)	Loss 3.0384 (2.7497)	Prec@1 29.688 (34.398)	Prec@5 60.938 (64.760)
Epoch: [25][7490/14090]	Time 0.876 (0.766)	Data 0.001 (0.001)	Loss 2.8235 (2.7497)	Prec@1 35.156 (34.398)	Prec@5 63.281 (64.760)
Epoch: [25][7500/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.6327 (2.7499)	Prec@1 32.031 (34.394)	Prec@5 69.531 (64.758)
Epoch: [25][7510/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 2.6972 (2.7499)	Prec@1 36.719 (34.395)	Prec@5 64.844 (64.759)
Epoch: [25][7520/14090]	Time 0.783 (0.766)	Data 0.001 (0.001)	Loss 2.9083 (2.7497)	Prec@1 35.938 (34.398)	Prec@5 63.281 (64.763)
Epoch: [25][7530/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.9741 (2.7496)	Prec@1 32.812 (34.401)	Prec@5 62.500 (64.765)
Epoch: [25][7540/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 2.6760 (2.7497)	Prec@1 38.281 (34.400)	Prec@5 62.500 (64.765)
Epoch: [25][7550/14090]	Time 0.770 (0.766)	Data 0.001 (0.001)	Loss 2.7022 (2.7497)	Prec@1 33.594 (34.400)	Prec@5 63.281 (64.764)
Epoch: [25][7560/14090]	Time 0.946 (0.766)	Data 0.001 (0.001)	Loss 2.5332 (2.7496)	Prec@1 34.375 (34.403)	Prec@5 66.406 (64.768)
Epoch: [25][7570/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.8962 (2.7496)	Prec@1 31.250 (34.405)	Prec@5 58.594 (64.768)
Epoch: [25][7580/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.9773 (2.7496)	Prec@1 33.594 (34.406)	Prec@5 60.156 (64.769)
Epoch: [25][7590/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 2.7961 (2.7496)	Prec@1 35.156 (34.408)	Prec@5 65.625 (64.769)
Epoch: [25][7600/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 2.3099 (2.7495)	Prec@1 42.969 (34.408)	Prec@5 73.438 (64.770)
Epoch: [25][7610/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 2.8045 (2.7496)	Prec@1 34.375 (34.408)	Prec@5 62.500 (64.769)
Epoch: [25][7620/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.8827 (2.7496)	Prec@1 34.375 (34.407)	Prec@5 63.281 (64.769)
Epoch: [25][7630/14090]	Time 0.848 (0.766)	Data 0.001 (0.001)	Loss 2.9192 (2.7497)	Prec@1 30.469 (34.405)	Prec@5 64.844 (64.767)
Epoch: [25][7640/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.7598 (2.7498)	Prec@1 39.062 (34.403)	Prec@5 68.750 (64.766)
Epoch: [25][7650/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.9565 (2.7499)	Prec@1 28.125 (34.401)	Prec@5 55.469 (64.764)
Epoch: [25][7660/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.9005 (2.7500)	Prec@1 30.469 (34.398)	Prec@5 57.812 (64.761)
Epoch: [25][7670/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.8316 (2.7501)	Prec@1 35.938 (34.396)	Prec@5 60.156 (64.756)
Epoch: [25][7680/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.6528 (2.7501)	Prec@1 33.594 (34.394)	Prec@5 67.969 (64.755)
Epoch: [25][7690/14090]	Time 0.776 (0.766)	Data 0.001 (0.001)	Loss 2.7234 (2.7501)	Prec@1 31.250 (34.395)	Prec@5 64.844 (64.754)
Epoch: [25][7700/14090]	Time 0.843 (0.766)	Data 0.001 (0.001)	Loss 2.7180 (2.7501)	Prec@1 36.719 (34.396)	Prec@5 65.625 (64.754)
Epoch: [25][7710/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.8542 (2.7501)	Prec@1 35.156 (34.395)	Prec@5 62.500 (64.754)
Epoch: [25][7720/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.6456 (2.7502)	Prec@1 31.250 (34.394)	Prec@5 67.969 (64.752)
Epoch: [25][7730/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.8678 (2.7502)	Prec@1 32.812 (34.394)	Prec@5 58.594 (64.750)
Epoch: [25][7740/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.5972 (2.7502)	Prec@1 40.625 (34.395)	Prec@5 67.188 (64.749)
Epoch: [25][7750/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.7275 (2.7502)	Prec@1 35.156 (34.396)	Prec@5 65.625 (64.748)
Epoch: [25][7760/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.8632 (2.7502)	Prec@1 35.156 (34.398)	Prec@5 62.500 (64.748)
Epoch: [25][7770/14090]	Time 0.853 (0.765)	Data 0.001 (0.001)	Loss 2.9414 (2.7502)	Prec@1 33.594 (34.398)	Prec@5 61.719 (64.748)
Epoch: [25][7780/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.7364 (2.7502)	Prec@1 36.719 (34.400)	Prec@5 63.281 (64.749)
Epoch: [25][7790/14090]	Time 0.719 (0.765)	Data 0.001 (0.001)	Loss 2.8469 (2.7503)	Prec@1 37.500 (34.400)	Prec@5 61.719 (64.748)
Epoch: [25][7800/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.7730 (2.7502)	Prec@1 37.500 (34.399)	Prec@5 66.406 (64.749)
Epoch: [25][7810/14090]	Time 0.783 (0.765)	Data 0.001 (0.001)	Loss 2.9776 (2.7502)	Prec@1 28.125 (34.398)	Prec@5 57.812 (64.749)
Epoch: [25][7820/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.8797 (2.7504)	Prec@1 36.719 (34.397)	Prec@5 67.188 (64.748)
Epoch: [25][7830/14090]	Time 0.722 (0.765)	Data 0.001 (0.001)	Loss 2.7869 (2.7504)	Prec@1 32.812 (34.397)	Prec@5 67.969 (64.747)
Epoch: [25][7840/14090]	Time 0.900 (0.765)	Data 0.001 (0.001)	Loss 2.8574 (2.7505)	Prec@1 28.125 (34.396)	Prec@5 61.719 (64.744)
Epoch: [25][7850/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.7434 (2.7505)	Prec@1 35.938 (34.396)	Prec@5 60.938 (64.744)
Epoch: [25][7860/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.9940 (2.7506)	Prec@1 32.812 (34.396)	Prec@5 57.031 (64.741)
Epoch: [25][7870/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.7318 (2.7506)	Prec@1 32.812 (34.394)	Prec@5 66.406 (64.740)
Epoch: [25][7880/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.8888 (2.7506)	Prec@1 33.594 (34.396)	Prec@5 62.500 (64.740)
Epoch: [25][7890/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.7332 (2.7506)	Prec@1 38.281 (34.395)	Prec@5 64.062 (64.736)
Epoch: [25][7900/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.5680 (2.7506)	Prec@1 35.938 (34.393)	Prec@5 65.625 (64.740)
Epoch: [25][7910/14090]	Time 0.848 (0.765)	Data 0.001 (0.001)	Loss 2.4714 (2.7507)	Prec@1 38.281 (34.391)	Prec@5 67.969 (64.737)
Epoch: [25][7920/14090]	Time 0.785 (0.765)	Data 0.001 (0.001)	Loss 2.8554 (2.7507)	Prec@1 36.719 (34.393)	Prec@5 66.406 (64.736)
Epoch: [25][7930/14090]	Time 0.767 (0.765)	Data 0.001 (0.001)	Loss 2.5754 (2.7506)	Prec@1 36.719 (34.394)	Prec@5 67.188 (64.736)
Epoch: [25][7940/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.7333 (2.7506)	Prec@1 34.375 (34.391)	Prec@5 64.844 (64.737)
Epoch: [25][7950/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.6071 (2.7505)	Prec@1 35.156 (34.391)	Prec@5 70.312 (64.737)
Epoch: [25][7960/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.8284 (2.7506)	Prec@1 34.375 (34.390)	Prec@5 59.375 (64.734)
Epoch: [25][7970/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 3.0407 (2.7506)	Prec@1 32.031 (34.390)	Prec@5 54.688 (64.730)
Epoch: [25][7980/14090]	Time 0.846 (0.765)	Data 0.001 (0.001)	Loss 2.7111 (2.7506)	Prec@1 33.594 (34.389)	Prec@5 70.312 (64.731)
Epoch: [25][7990/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.6383 (2.7506)	Prec@1 35.938 (34.389)	Prec@5 65.625 (64.732)
Epoch: [25][8000/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.8693 (2.7506)	Prec@1 30.469 (34.386)	Prec@5 64.844 (64.731)
Epoch: [25][8010/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.6801 (2.7507)	Prec@1 30.469 (34.385)	Prec@5 65.625 (64.730)
Epoch: [25][8020/14090]	Time 0.776 (0.765)	Data 0.001 (0.001)	Loss 2.9359 (2.7506)	Prec@1 32.812 (34.386)	Prec@5 65.625 (64.733)
Epoch: [25][8030/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 3.0528 (2.7506)	Prec@1 32.812 (34.387)	Prec@5 55.469 (64.732)
Epoch: [25][8040/14090]	Time 0.721 (0.765)	Data 0.001 (0.001)	Loss 2.6654 (2.7507)	Prec@1 37.500 (34.387)	Prec@5 67.188 (64.730)
Epoch: [25][8050/14090]	Time 0.869 (0.765)	Data 0.001 (0.001)	Loss 2.7599 (2.7507)	Prec@1 32.031 (34.386)	Prec@5 60.156 (64.729)
Epoch: [25][8060/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.7906 (2.7507)	Prec@1 30.469 (34.385)	Prec@5 62.500 (64.732)
Epoch: [25][8070/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.8686 (2.7506)	Prec@1 25.781 (34.383)	Prec@5 64.844 (64.734)
Epoch: [25][8080/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.7061 (2.7507)	Prec@1 37.500 (34.382)	Prec@5 68.750 (64.733)
Epoch: [25][8090/14090]	Time 0.768 (0.765)	Data 0.001 (0.001)	Loss 2.8372 (2.7507)	Prec@1 32.812 (34.383)	Prec@5 62.500 (64.732)
Epoch: [25][8100/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.6023 (2.7506)	Prec@1 36.719 (34.384)	Prec@5 64.844 (64.732)
Epoch: [25][8110/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.7312 (2.7505)	Prec@1 32.031 (34.387)	Prec@5 65.625 (64.733)
Epoch: [25][8120/14090]	Time 0.884 (0.765)	Data 0.001 (0.001)	Loss 2.6070 (2.7505)	Prec@1 32.812 (34.388)	Prec@5 68.750 (64.735)
Epoch: [25][8130/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.7736 (2.7506)	Prec@1 39.844 (34.384)	Prec@5 60.156 (64.735)
Epoch: [25][8140/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.9823 (2.7506)	Prec@1 31.250 (34.384)	Prec@5 64.844 (64.735)
Epoch: [25][8150/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.4677 (2.7505)	Prec@1 40.625 (34.385)	Prec@5 71.094 (64.737)
Epoch: [25][8160/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.6737 (2.7505)	Prec@1 37.500 (34.384)	Prec@5 64.062 (64.739)
Epoch: [25][8170/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.5829 (2.7505)	Prec@1 35.938 (34.385)	Prec@5 64.844 (64.738)
Epoch: [25][8180/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.7305 (2.7505)	Prec@1 34.375 (34.386)	Prec@5 64.062 (64.738)
Epoch: [25][8190/14090]	Time 0.883 (0.765)	Data 0.002 (0.001)	Loss 2.8423 (2.7505)	Prec@1 34.375 (34.387)	Prec@5 61.719 (64.740)
Epoch: [25][8200/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.5843 (2.7505)	Prec@1 34.375 (34.386)	Prec@5 72.656 (64.742)
Epoch: [25][8210/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 3.1246 (2.7505)	Prec@1 25.781 (34.384)	Prec@5 57.812 (64.740)
Epoch: [25][8220/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 2.8511 (2.7506)	Prec@1 31.250 (34.382)	Prec@5 59.375 (64.738)
Epoch: [25][8230/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.7092 (2.7506)	Prec@1 35.938 (34.384)	Prec@5 64.062 (64.738)
Epoch: [25][8240/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.7984 (2.7507)	Prec@1 33.594 (34.383)	Prec@5 59.375 (64.738)
Epoch: [25][8250/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.8086 (2.7506)	Prec@1 32.031 (34.384)	Prec@5 60.156 (64.736)
Epoch: [25][8260/14090]	Time 0.864 (0.765)	Data 0.001 (0.001)	Loss 2.4699 (2.7506)	Prec@1 42.188 (34.385)	Prec@5 72.656 (64.738)
Epoch: [25][8270/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.6935 (2.7507)	Prec@1 39.844 (34.382)	Prec@5 64.062 (64.735)
Epoch: [25][8280/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.2958 (2.7506)	Prec@1 41.406 (34.384)	Prec@5 74.219 (64.736)
Epoch: [25][8290/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.7194 (2.7506)	Prec@1 35.156 (34.383)	Prec@5 65.625 (64.737)
Epoch: [25][8300/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.7964 (2.7506)	Prec@1 30.469 (34.382)	Prec@5 62.500 (64.737)
Epoch: [25][8310/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.5873 (2.7507)	Prec@1 44.531 (34.382)	Prec@5 70.312 (64.735)
Epoch: [25][8320/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.5808 (2.7507)	Prec@1 41.406 (34.383)	Prec@5 62.500 (64.736)
Epoch: [25][8330/14090]	Time 0.856 (0.765)	Data 0.001 (0.001)	Loss 2.5993 (2.7507)	Prec@1 39.844 (34.384)	Prec@5 66.406 (64.736)
Epoch: [25][8340/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.5990 (2.7507)	Prec@1 40.625 (34.384)	Prec@5 67.969 (64.734)
Epoch: [25][8350/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.9931 (2.7508)	Prec@1 32.031 (34.382)	Prec@5 60.156 (64.733)
Epoch: [25][8360/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.8284 (2.7508)	Prec@1 36.719 (34.382)	Prec@5 57.812 (64.731)
Epoch: [25][8370/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.9493 (2.7508)	Prec@1 27.344 (34.382)	Prec@5 65.625 (64.732)
Epoch: [25][8380/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.6733 (2.7509)	Prec@1 32.812 (34.382)	Prec@5 63.281 (64.730)
Epoch: [25][8390/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.6978 (2.7508)	Prec@1 35.938 (34.381)	Prec@5 61.719 (64.731)
Epoch: [25][8400/14090]	Time 0.875 (0.765)	Data 0.001 (0.001)	Loss 2.8470 (2.7509)	Prec@1 35.938 (34.381)	Prec@5 66.406 (64.731)
Epoch: [25][8410/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.8389 (2.7509)	Prec@1 27.344 (34.382)	Prec@5 61.719 (64.732)
Epoch: [25][8420/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.9223 (2.7509)	Prec@1 29.688 (34.383)	Prec@5 60.156 (64.730)
Epoch: [25][8430/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.8107 (2.7509)	Prec@1 30.469 (34.381)	Prec@5 61.719 (64.730)
Epoch: [25][8440/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.9246 (2.7510)	Prec@1 25.000 (34.378)	Prec@5 59.375 (64.730)
Epoch: [25][8450/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.5225 (2.7511)	Prec@1 35.938 (34.376)	Prec@5 71.094 (64.732)
Epoch: [25][8460/14090]	Time 0.745 (0.765)	Data 0.003 (0.001)	Loss 2.8830 (2.7511)	Prec@1 29.688 (34.376)	Prec@5 62.500 (64.731)
Epoch: [25][8470/14090]	Time 0.870 (0.765)	Data 0.001 (0.001)	Loss 2.9211 (2.7511)	Prec@1 28.906 (34.375)	Prec@5 65.625 (64.733)
Epoch: [25][8480/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.9259 (2.7511)	Prec@1 29.688 (34.373)	Prec@5 59.375 (64.732)
Epoch: [25][8490/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.9159 (2.7510)	Prec@1 34.375 (34.373)	Prec@5 58.594 (64.732)
Epoch: [25][8500/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.7223 (2.7510)	Prec@1 32.812 (34.373)	Prec@5 68.750 (64.735)
Epoch: [25][8510/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.5901 (2.7510)	Prec@1 34.375 (34.371)	Prec@5 64.062 (64.735)
Epoch: [25][8520/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.6640 (2.7510)	Prec@1 39.844 (34.371)	Prec@5 64.844 (64.736)
Epoch: [25][8530/14090]	Time 0.767 (0.765)	Data 0.001 (0.001)	Loss 2.5957 (2.7509)	Prec@1 32.812 (34.371)	Prec@5 69.531 (64.737)
Epoch: [25][8540/14090]	Time 0.832 (0.765)	Data 0.001 (0.001)	Loss 2.6679 (2.7509)	Prec@1 35.156 (34.371)	Prec@5 64.844 (64.738)
Epoch: [25][8550/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 3.1281 (2.7509)	Prec@1 25.781 (34.368)	Prec@5 59.375 (64.738)
Epoch: [25][8560/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.7575 (2.7510)	Prec@1 35.938 (34.367)	Prec@5 65.625 (64.735)
Epoch: [25][8570/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.7239 (2.7510)	Prec@1 35.156 (34.367)	Prec@5 72.656 (64.735)
Epoch: [25][8580/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.7142 (2.7510)	Prec@1 33.594 (34.367)	Prec@5 64.062 (64.736)
Epoch: [25][8590/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.4429 (2.7509)	Prec@1 37.500 (34.366)	Prec@5 70.312 (64.737)
Epoch: [25][8600/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.4769 (2.7509)	Prec@1 35.156 (34.367)	Prec@5 67.188 (64.738)
Epoch: [25][8610/14090]	Time 0.861 (0.765)	Data 0.001 (0.001)	Loss 2.6948 (2.7509)	Prec@1 33.594 (34.365)	Prec@5 71.875 (64.738)
Epoch: [25][8620/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.5872 (2.7510)	Prec@1 37.500 (34.365)	Prec@5 63.281 (64.738)
Epoch: [25][8630/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 3.0817 (2.7510)	Prec@1 26.562 (34.365)	Prec@5 60.156 (64.738)
Epoch: [25][8640/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.4154 (2.7510)	Prec@1 41.406 (34.365)	Prec@5 73.438 (64.739)
Epoch: [25][8650/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 2.9270 (2.7510)	Prec@1 32.812 (34.365)	Prec@5 61.719 (64.740)
Epoch: [25][8660/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.9966 (2.7510)	Prec@1 26.562 (34.364)	Prec@5 60.938 (64.739)
Epoch: [25][8670/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.7588 (2.7511)	Prec@1 31.250 (34.364)	Prec@5 66.406 (64.736)
Epoch: [25][8680/14090]	Time 0.868 (0.765)	Data 0.001 (0.001)	Loss 2.5806 (2.7511)	Prec@1 33.594 (34.365)	Prec@5 65.625 (64.737)
Epoch: [25][8690/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.8391 (2.7511)	Prec@1 34.375 (34.364)	Prec@5 62.500 (64.736)
Epoch: [25][8700/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.6053 (2.7511)	Prec@1 39.062 (34.364)	Prec@5 68.750 (64.738)
Epoch: [25][8710/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.9820 (2.7512)	Prec@1 35.156 (34.361)	Prec@5 64.844 (64.739)
Epoch: [25][8720/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.9799 (2.7512)	Prec@1 34.375 (34.361)	Prec@5 60.938 (64.739)
Epoch: [25][8730/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.7772 (2.7512)	Prec@1 32.812 (34.359)	Prec@5 66.406 (64.739)
Epoch: [25][8740/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.7658 (2.7512)	Prec@1 34.375 (34.358)	Prec@5 64.844 (64.739)
Epoch: [25][8750/14090]	Time 0.826 (0.765)	Data 0.001 (0.001)	Loss 2.9240 (2.7512)	Prec@1 36.719 (34.359)	Prec@5 55.469 (64.740)
Epoch: [25][8760/14090]	Time 0.738 (0.765)	Data 0.003 (0.001)	Loss 2.6279 (2.7512)	Prec@1 41.406 (34.359)	Prec@5 67.188 (64.740)
Epoch: [25][8770/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 3.1655 (2.7513)	Prec@1 29.688 (34.358)	Prec@5 53.906 (64.737)
Epoch: [25][8780/14090]	Time 0.780 (0.765)	Data 0.001 (0.001)	Loss 2.7863 (2.7513)	Prec@1 35.156 (34.356)	Prec@5 65.625 (64.735)
Epoch: [25][8790/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.5598 (2.7513)	Prec@1 35.938 (34.355)	Prec@5 67.188 (64.735)
Epoch: [25][8800/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.6772 (2.7513)	Prec@1 32.031 (34.354)	Prec@5 65.625 (64.736)
Epoch: [25][8810/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.3959 (2.7512)	Prec@1 39.844 (34.355)	Prec@5 69.531 (64.738)
Epoch: [25][8820/14090]	Time 0.846 (0.765)	Data 0.001 (0.001)	Loss 2.5786 (2.7512)	Prec@1 32.812 (34.356)	Prec@5 66.406 (64.736)
Epoch: [25][8830/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.7246 (2.7512)	Prec@1 31.250 (34.354)	Prec@5 64.844 (64.735)
Epoch: [25][8840/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.8528 (2.7512)	Prec@1 32.031 (34.353)	Prec@5 63.281 (64.737)
Epoch: [25][8850/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 3.0530 (2.7512)	Prec@1 32.031 (34.353)	Prec@5 55.469 (64.737)
Epoch: [25][8860/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.5652 (2.7512)	Prec@1 38.281 (34.352)	Prec@5 66.406 (64.736)
Epoch: [25][8870/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.7316 (2.7512)	Prec@1 35.156 (34.350)	Prec@5 64.844 (64.735)
Epoch: [25][8880/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 2.6939 (2.7512)	Prec@1 32.031 (34.350)	Prec@5 66.406 (64.736)
Epoch: [25][8890/14090]	Time 0.868 (0.765)	Data 0.001 (0.001)	Loss 2.9002 (2.7512)	Prec@1 32.031 (34.352)	Prec@5 62.500 (64.735)
Epoch: [25][8900/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.7606 (2.7512)	Prec@1 33.594 (34.351)	Prec@5 64.844 (64.738)
Epoch: [25][8910/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.5610 (2.7512)	Prec@1 35.156 (34.350)	Prec@5 68.750 (64.736)
Epoch: [25][8920/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 3.1073 (2.7512)	Prec@1 35.156 (34.352)	Prec@5 58.594 (64.737)
Epoch: [25][8930/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.5257 (2.7513)	Prec@1 39.062 (34.351)	Prec@5 65.625 (64.737)
Epoch: [25][8940/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.9642 (2.7512)	Prec@1 27.344 (34.351)	Prec@5 64.062 (64.737)
Epoch: [25][8950/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.8949 (2.7512)	Prec@1 34.375 (34.352)	Prec@5 59.375 (64.737)
Epoch: [25][8960/14090]	Time 0.915 (0.765)	Data 0.001 (0.001)	Loss 2.6469 (2.7512)	Prec@1 37.500 (34.352)	Prec@5 62.500 (64.738)
Epoch: [25][8970/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.6908 (2.7512)	Prec@1 35.156 (34.351)	Prec@5 67.969 (64.738)
Epoch: [25][8980/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.7643 (2.7513)	Prec@1 35.938 (34.350)	Prec@5 60.156 (64.737)
Epoch: [25][8990/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.9482 (2.7514)	Prec@1 25.781 (34.348)	Prec@5 60.938 (64.735)
Epoch: [25][9000/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.7536 (2.7514)	Prec@1 36.719 (34.350)	Prec@5 65.625 (64.735)
Epoch: [25][9010/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.8084 (2.7514)	Prec@1 26.562 (34.350)	Prec@5 70.312 (64.735)
Epoch: [25][9020/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.9898 (2.7515)	Prec@1 34.375 (34.348)	Prec@5 57.812 (64.733)
Epoch: [25][9030/14090]	Time 0.867 (0.765)	Data 0.001 (0.001)	Loss 2.8280 (2.7515)	Prec@1 30.469 (34.348)	Prec@5 65.625 (64.733)
Epoch: [25][9040/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 3.1856 (2.7516)	Prec@1 31.250 (34.349)	Prec@5 60.156 (64.732)
Epoch: [25][9050/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.5207 (2.7516)	Prec@1 37.500 (34.347)	Prec@5 72.656 (64.733)
Epoch: [25][9060/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.9409 (2.7515)	Prec@1 32.812 (34.349)	Prec@5 58.594 (64.734)
Epoch: [25][9070/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.8267 (2.7514)	Prec@1 28.906 (34.351)	Prec@5 65.625 (64.736)
Epoch: [25][9080/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.7005 (2.7514)	Prec@1 35.156 (34.350)	Prec@5 69.531 (64.736)
Epoch: [25][9090/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.9190 (2.7515)	Prec@1 26.562 (34.349)	Prec@5 62.500 (64.735)
Epoch: [25][9100/14090]	Time 0.826 (0.765)	Data 0.001 (0.001)	Loss 2.6960 (2.7514)	Prec@1 35.156 (34.350)	Prec@5 65.625 (64.736)
Epoch: [25][9110/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.8274 (2.7515)	Prec@1 33.594 (34.350)	Prec@5 64.062 (64.735)
Epoch: [25][9120/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.6658 (2.7515)	Prec@1 36.719 (34.352)	Prec@5 64.844 (64.734)
Epoch: [25][9130/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.6899 (2.7515)	Prec@1 39.844 (34.352)	Prec@5 61.719 (64.735)
Epoch: [25][9140/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.5309 (2.7514)	Prec@1 38.281 (34.354)	Prec@5 71.875 (64.734)
Epoch: [25][9150/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.8490 (2.7514)	Prec@1 30.469 (34.357)	Prec@5 59.375 (64.735)
Epoch: [25][9160/14090]	Time 0.751 (0.765)	Data 0.003 (0.001)	Loss 2.7195 (2.7514)	Prec@1 33.594 (34.357)	Prec@5 64.844 (64.734)
Epoch: [25][9170/14090]	Time 0.853 (0.765)	Data 0.001 (0.001)	Loss 2.7961 (2.7514)	Prec@1 32.031 (34.359)	Prec@5 63.281 (64.735)
Epoch: [25][9180/14090]	Time 0.758 (0.765)	Data 0.002 (0.001)	Loss 2.5342 (2.7513)	Prec@1 42.188 (34.361)	Prec@5 64.844 (64.737)
Epoch: [25][9190/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 3.1744 (2.7514)	Prec@1 28.906 (34.358)	Prec@5 52.344 (64.733)
Epoch: [25][9200/14090]	Time 0.770 (0.765)	Data 0.001 (0.001)	Loss 2.7709 (2.7515)	Prec@1 32.031 (34.358)	Prec@5 64.062 (64.731)
Epoch: [25][9210/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.9094 (2.7515)	Prec@1 29.688 (34.358)	Prec@5 60.938 (64.733)
Epoch: [25][9220/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 2.6153 (2.7515)	Prec@1 35.156 (34.356)	Prec@5 64.844 (64.733)
Epoch: [25][9230/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.9447 (2.7515)	Prec@1 21.875 (34.355)	Prec@5 60.938 (64.732)
Epoch: [25][9240/14090]	Time 0.885 (0.765)	Data 0.001 (0.001)	Loss 2.7281 (2.7516)	Prec@1 39.844 (34.353)	Prec@5 68.750 (64.731)
Epoch: [25][9250/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.5004 (2.7516)	Prec@1 40.625 (34.353)	Prec@5 71.875 (64.731)
Epoch: [25][9260/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.7106 (2.7516)	Prec@1 32.031 (34.351)	Prec@5 67.188 (64.729)
Epoch: [25][9270/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 3.0820 (2.7517)	Prec@1 31.250 (34.349)	Prec@5 56.250 (64.725)
Epoch: [25][9280/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.9807 (2.7517)	Prec@1 30.469 (34.348)	Prec@5 56.250 (64.725)
Epoch: [25][9290/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 3.1032 (2.7518)	Prec@1 34.375 (34.349)	Prec@5 57.812 (64.723)
Epoch: [25][9300/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 3.0896 (2.7517)	Prec@1 29.688 (34.350)	Prec@5 58.594 (64.722)
Epoch: [25][9310/14090]	Time 0.878 (0.765)	Data 0.001 (0.001)	Loss 2.8778 (2.7518)	Prec@1 30.469 (34.348)	Prec@5 61.719 (64.721)
Epoch: [25][9320/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.6308 (2.7518)	Prec@1 36.719 (34.346)	Prec@5 66.406 (64.720)
Epoch: [25][9330/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.6315 (2.7518)	Prec@1 33.594 (34.346)	Prec@5 70.312 (64.720)
Epoch: [25][9340/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.6734 (2.7517)	Prec@1 39.062 (34.351)	Prec@5 64.844 (64.723)
Epoch: [25][9350/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.8078 (2.7518)	Prec@1 28.906 (34.347)	Prec@5 61.719 (64.720)
Epoch: [25][9360/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.3370 (2.7517)	Prec@1 41.406 (34.349)	Prec@5 74.219 (64.722)
Epoch: [25][9370/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.8264 (2.7518)	Prec@1 35.938 (34.348)	Prec@5 62.500 (64.721)
Epoch: [25][9380/14090]	Time 0.849 (0.765)	Data 0.001 (0.001)	Loss 2.6275 (2.7519)	Prec@1 35.156 (34.346)	Prec@5 68.750 (64.720)
Epoch: [25][9390/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.5754 (2.7518)	Prec@1 35.938 (34.345)	Prec@5 67.188 (64.720)
Epoch: [25][9400/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.8631 (2.7518)	Prec@1 30.469 (34.344)	Prec@5 65.625 (64.720)
Epoch: [25][9410/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.8118 (2.7519)	Prec@1 32.812 (34.343)	Prec@5 64.062 (64.719)
Epoch: [25][9420/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.5565 (2.7518)	Prec@1 42.188 (34.344)	Prec@5 69.531 (64.720)
Epoch: [25][9430/14090]	Time 0.720 (0.765)	Data 0.001 (0.001)	Loss 2.6913 (2.7518)	Prec@1 31.250 (34.342)	Prec@5 64.844 (64.719)
Epoch: [25][9440/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.6392 (2.7518)	Prec@1 27.344 (34.340)	Prec@5 67.969 (64.718)
Epoch: [25][9450/14090]	Time 0.891 (0.765)	Data 0.001 (0.001)	Loss 2.8358 (2.7519)	Prec@1 32.812 (34.338)	Prec@5 63.281 (64.716)
Epoch: [25][9460/14090]	Time 0.773 (0.765)	Data 0.001 (0.001)	Loss 2.9574 (2.7519)	Prec@1 28.906 (34.338)	Prec@5 58.594 (64.715)
Epoch: [25][9470/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.6529 (2.7519)	Prec@1 40.625 (34.340)	Prec@5 65.625 (64.714)
Epoch: [25][9480/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.4639 (2.7520)	Prec@1 41.406 (34.337)	Prec@5 71.094 (64.714)
Epoch: [25][9490/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.7683 (2.7521)	Prec@1 36.719 (34.337)	Prec@5 60.938 (64.713)
Epoch: [25][9500/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.7462 (2.7521)	Prec@1 36.719 (34.340)	Prec@5 68.750 (64.713)
Epoch: [25][9510/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.8429 (2.7521)	Prec@1 28.906 (34.339)	Prec@5 64.062 (64.712)
Epoch: [25][9520/14090]	Time 0.874 (0.765)	Data 0.001 (0.001)	Loss 2.6090 (2.7521)	Prec@1 38.281 (34.338)	Prec@5 70.312 (64.712)
Epoch: [25][9530/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.5458 (2.7520)	Prec@1 42.969 (34.340)	Prec@5 63.281 (64.712)
Epoch: [25][9540/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.6451 (2.7520)	Prec@1 35.938 (34.341)	Prec@5 66.406 (64.712)
Epoch: [25][9550/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.7413 (2.7521)	Prec@1 35.156 (34.341)	Prec@5 64.844 (64.711)
Epoch: [25][9560/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.8538 (2.7520)	Prec@1 32.031 (34.342)	Prec@5 65.625 (64.712)
Epoch: [25][9570/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.8689 (2.7521)	Prec@1 30.469 (34.342)	Prec@5 68.750 (64.712)
Epoch: [25][9580/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.6759 (2.7522)	Prec@1 39.844 (34.343)	Prec@5 63.281 (64.709)
Epoch: [25][9590/14090]	Time 0.861 (0.765)	Data 0.001 (0.001)	Loss 3.0449 (2.7522)	Prec@1 26.562 (34.343)	Prec@5 57.812 (64.708)
Epoch: [25][9600/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.6854 (2.7523)	Prec@1 35.938 (34.342)	Prec@5 60.938 (64.707)
Epoch: [25][9610/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.8785 (2.7523)	Prec@1 33.594 (34.340)	Prec@5 64.062 (64.706)
Epoch: [25][9620/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.8039 (2.7524)	Prec@1 31.250 (34.340)	Prec@5 66.406 (64.705)
Epoch: [25][9630/14090]	Time 0.744 (0.765)	Data 0.002 (0.001)	Loss 2.6563 (2.7523)	Prec@1 33.594 (34.341)	Prec@5 61.719 (64.706)
Epoch: [25][9640/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.6644 (2.7524)	Prec@1 39.844 (34.340)	Prec@5 62.500 (64.706)
Epoch: [25][9650/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.6901 (2.7523)	Prec@1 39.844 (34.341)	Prec@5 67.188 (64.707)
Epoch: [25][9660/14090]	Time 0.839 (0.765)	Data 0.001 (0.001)	Loss 3.0783 (2.7524)	Prec@1 31.250 (34.340)	Prec@5 56.250 (64.704)
Epoch: [25][9670/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.5339 (2.7524)	Prec@1 37.500 (34.341)	Prec@5 71.875 (64.705)
Epoch: [25][9680/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.7459 (2.7523)	Prec@1 37.500 (34.343)	Prec@5 64.062 (64.707)
Epoch: [25][9690/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.7834 (2.7522)	Prec@1 39.062 (34.346)	Prec@5 67.188 (64.708)
Epoch: [25][9700/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.7800 (2.7522)	Prec@1 36.719 (34.347)	Prec@5 67.969 (64.707)
Epoch: [25][9710/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 3.0024 (2.7523)	Prec@1 35.938 (34.345)	Prec@5 61.719 (64.708)
Epoch: [25][9720/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.7977 (2.7523)	Prec@1 39.062 (34.345)	Prec@5 64.844 (64.707)
Epoch: [25][9730/14090]	Time 0.849 (0.765)	Data 0.001 (0.001)	Loss 2.8811 (2.7523)	Prec@1 28.906 (34.346)	Prec@5 62.500 (64.708)
Epoch: [25][9740/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.6603 (2.7523)	Prec@1 41.406 (34.348)	Prec@5 64.062 (64.709)
Epoch: [25][9750/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.6801 (2.7522)	Prec@1 37.500 (34.351)	Prec@5 64.844 (64.710)
Epoch: [25][9760/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.8958 (2.7523)	Prec@1 32.812 (34.349)	Prec@5 60.938 (64.706)
Epoch: [25][9770/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.8917 (2.7524)	Prec@1 28.125 (34.348)	Prec@5 60.938 (64.706)
Epoch: [25][9780/14090]	Time 0.767 (0.765)	Data 0.001 (0.001)	Loss 2.8039 (2.7524)	Prec@1 34.375 (34.348)	Prec@5 66.406 (64.706)
Epoch: [25][9790/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.8089 (2.7525)	Prec@1 32.031 (34.347)	Prec@5 65.625 (64.704)
Epoch: [25][9800/14090]	Time 0.856 (0.765)	Data 0.001 (0.001)	Loss 2.7837 (2.7525)	Prec@1 38.281 (34.346)	Prec@5 64.062 (64.703)
Epoch: [25][9810/14090]	Time 0.722 (0.765)	Data 0.001 (0.001)	Loss 2.9167 (2.7526)	Prec@1 27.344 (34.345)	Prec@5 58.594 (64.703)
Epoch: [25][9820/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 3.0208 (2.7526)	Prec@1 27.344 (34.345)	Prec@5 57.812 (64.701)
Epoch: [25][9830/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.5865 (2.7527)	Prec@1 38.281 (34.345)	Prec@5 68.750 (64.701)
Epoch: [25][9840/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.5122 (2.7526)	Prec@1 42.969 (34.347)	Prec@5 74.219 (64.704)
Epoch: [25][9850/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.6728 (2.7526)	Prec@1 36.719 (34.348)	Prec@5 64.062 (64.705)
Epoch: [25][9860/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.9187 (2.7526)	Prec@1 29.688 (34.348)	Prec@5 57.031 (64.704)
Epoch: [25][9870/14090]	Time 0.858 (0.765)	Data 0.001 (0.001)	Loss 2.6004 (2.7527)	Prec@1 39.062 (34.347)	Prec@5 68.750 (64.703)
Epoch: [25][9880/14090]	Time 0.784 (0.765)	Data 0.001 (0.001)	Loss 2.6970 (2.7526)	Prec@1 32.031 (34.350)	Prec@5 67.969 (64.705)
Epoch: [25][9890/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.8147 (2.7527)	Prec@1 41.406 (34.350)	Prec@5 64.844 (64.705)
Epoch: [25][9900/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.8014 (2.7528)	Prec@1 34.375 (34.349)	Prec@5 67.969 (64.703)
Epoch: [25][9910/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.7127 (2.7527)	Prec@1 37.500 (34.350)	Prec@5 66.406 (64.703)
Epoch: [25][9920/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.5537 (2.7527)	Prec@1 37.500 (34.350)	Prec@5 67.188 (64.705)
Epoch: [25][9930/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.8753 (2.7527)	Prec@1 30.469 (34.350)	Prec@5 58.594 (64.704)
Epoch: [25][9940/14090]	Time 0.828 (0.765)	Data 0.001 (0.001)	Loss 2.5670 (2.7527)	Prec@1 39.062 (34.351)	Prec@5 67.188 (64.704)
Epoch: [25][9950/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.6118 (2.7526)	Prec@1 41.406 (34.354)	Prec@5 71.875 (64.705)
Epoch: [25][9960/14090]	Time 0.771 (0.765)	Data 0.001 (0.001)	Loss 2.7361 (2.7526)	Prec@1 32.031 (34.354)	Prec@5 66.406 (64.706)
Epoch: [25][9970/14090]	Time 0.781 (0.765)	Data 0.001 (0.001)	Loss 2.4825 (2.7526)	Prec@1 32.812 (34.355)	Prec@5 74.219 (64.706)
Epoch: [25][9980/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.8698 (2.7525)	Prec@1 30.469 (34.356)	Prec@5 60.938 (64.707)
Epoch: [25][9990/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.8990 (2.7526)	Prec@1 29.688 (34.354)	Prec@5 59.375 (64.706)
Epoch: [25][10000/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.8139 (2.7527)	Prec@1 31.250 (34.352)	Prec@5 59.375 (64.703)
Epoch: [25][10010/14090]	Time 0.886 (0.765)	Data 0.001 (0.001)	Loss 2.9259 (2.7527)	Prec@1 27.344 (34.351)	Prec@5 59.375 (64.702)
Epoch: [25][10020/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.4521 (2.7527)	Prec@1 43.750 (34.352)	Prec@5 69.531 (64.703)
Epoch: [25][10030/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.9044 (2.7527)	Prec@1 25.000 (34.351)	Prec@5 57.812 (64.703)
Epoch: [25][10040/14090]	Time 0.772 (0.765)	Data 0.001 (0.001)	Loss 2.6681 (2.7527)	Prec@1 32.812 (34.352)	Prec@5 71.094 (64.705)
Epoch: [25][10050/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.8228 (2.7527)	Prec@1 36.719 (34.353)	Prec@5 61.719 (64.707)
Epoch: [25][10060/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.6742 (2.7527)	Prec@1 35.156 (34.352)	Prec@5 66.406 (64.707)
Epoch: [25][10070/14090]	Time 0.722 (0.765)	Data 0.001 (0.001)	Loss 2.4216 (2.7527)	Prec@1 42.188 (34.352)	Prec@5 71.875 (64.707)
Epoch: [25][10080/14090]	Time 0.955 (0.765)	Data 0.001 (0.001)	Loss 2.7292 (2.7527)	Prec@1 33.594 (34.352)	Prec@5 64.844 (64.706)
Epoch: [25][10090/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.9211 (2.7527)	Prec@1 28.906 (34.350)	Prec@5 60.156 (64.704)
Epoch: [25][10100/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.8326 (2.7527)	Prec@1 37.500 (34.351)	Prec@5 59.375 (64.705)
Epoch: [25][10110/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.6475 (2.7526)	Prec@1 35.156 (34.354)	Prec@5 63.281 (64.706)
Epoch: [25][10120/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.8968 (2.7525)	Prec@1 28.906 (34.355)	Prec@5 63.281 (64.708)
Epoch: [25][10130/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.8925 (2.7526)	Prec@1 33.594 (34.354)	Prec@5 63.281 (64.707)
Epoch: [25][10140/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.7254 (2.7526)	Prec@1 35.156 (34.354)	Prec@5 61.719 (64.706)
Epoch: [25][10150/14090]	Time 0.853 (0.765)	Data 0.001 (0.001)	Loss 2.5365 (2.7526)	Prec@1 39.844 (34.355)	Prec@5 64.062 (64.706)
Epoch: [25][10160/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 3.0691 (2.7526)	Prec@1 31.250 (34.355)	Prec@5 60.938 (64.705)
Epoch: [25][10170/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.7664 (2.7527)	Prec@1 35.156 (34.353)	Prec@5 63.281 (64.705)
Epoch: [25][10180/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.9120 (2.7527)	Prec@1 32.031 (34.355)	Prec@5 62.500 (64.704)
Epoch: [25][10190/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.8074 (2.7528)	Prec@1 30.469 (34.355)	Prec@5 61.719 (64.703)
Epoch: [25][10200/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.8837 (2.7528)	Prec@1 26.562 (34.352)	Prec@5 60.156 (64.702)
Epoch: [25][10210/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.8491 (2.7529)	Prec@1 30.469 (34.350)	Prec@5 64.062 (64.701)
Epoch: [25][10220/14090]	Time 1.013 (0.765)	Data 0.001 (0.001)	Loss 2.7166 (2.7529)	Prec@1 31.250 (34.349)	Prec@5 67.969 (64.700)
Epoch: [25][10230/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.7279 (2.7529)	Prec@1 29.688 (34.349)	Prec@5 68.750 (64.701)
Epoch: [25][10240/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.9299 (2.7530)	Prec@1 28.906 (34.347)	Prec@5 62.500 (64.701)
Epoch: [25][10250/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.8285 (2.7529)	Prec@1 33.594 (34.348)	Prec@5 64.844 (64.702)
Epoch: [25][10260/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.6876 (2.7529)	Prec@1 34.375 (34.348)	Prec@5 67.969 (64.702)
Epoch: [25][10270/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.8291 (2.7528)	Prec@1 35.156 (34.349)	Prec@5 60.938 (64.704)
Epoch: [25][10280/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.8110 (2.7529)	Prec@1 33.594 (34.348)	Prec@5 67.188 (64.703)
Epoch: [25][10290/14090]	Time 0.856 (0.765)	Data 0.001 (0.001)	Loss 2.6744 (2.7528)	Prec@1 35.938 (34.347)	Prec@5 68.750 (64.705)
Epoch: [25][10300/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.9279 (2.7529)	Prec@1 28.906 (34.347)	Prec@5 64.062 (64.705)
Epoch: [25][10310/14090]	Time 0.771 (0.765)	Data 0.001 (0.001)	Loss 2.4905 (2.7529)	Prec@1 38.281 (34.347)	Prec@5 71.094 (64.705)
Epoch: [25][10320/14090]	Time 0.773 (0.765)	Data 0.001 (0.001)	Loss 2.6800 (2.7528)	Prec@1 35.156 (34.348)	Prec@5 67.969 (64.709)
Epoch: [25][10330/14090]	Time 0.775 (0.765)	Data 0.001 (0.001)	Loss 2.6875 (2.7528)	Prec@1 37.500 (34.346)	Prec@5 65.625 (64.708)
Epoch: [25][10340/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.6791 (2.7527)	Prec@1 34.375 (34.348)	Prec@5 60.938 (64.709)
Epoch: [25][10350/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 3.0906 (2.7528)	Prec@1 29.688 (34.347)	Prec@5 55.469 (64.708)
Epoch: [25][10360/14090]	Time 0.873 (0.765)	Data 0.001 (0.001)	Loss 2.8344 (2.7527)	Prec@1 35.156 (34.346)	Prec@5 59.375 (64.709)
Epoch: [25][10370/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 3.0229 (2.7528)	Prec@1 26.562 (34.343)	Prec@5 63.281 (64.709)
Epoch: [25][10380/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 3.1535 (2.7529)	Prec@1 30.469 (34.342)	Prec@5 57.812 (64.708)
Epoch: [25][10390/14090]	Time 0.784 (0.765)	Data 0.001 (0.001)	Loss 2.9383 (2.7529)	Prec@1 29.688 (34.341)	Prec@5 64.062 (64.708)
Epoch: [25][10400/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.8155 (2.7529)	Prec@1 35.938 (34.342)	Prec@5 63.281 (64.708)
Epoch: [25][10410/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.8319 (2.7530)	Prec@1 33.594 (34.342)	Prec@5 60.156 (64.704)
Epoch: [25][10420/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.6836 (2.7530)	Prec@1 38.281 (34.342)	Prec@5 66.406 (64.703)
Epoch: [25][10430/14090]	Time 0.861 (0.765)	Data 0.001 (0.001)	Loss 2.8422 (2.7531)	Prec@1 29.688 (34.340)	Prec@5 65.625 (64.702)
Epoch: [25][10440/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.3901 (2.7531)	Prec@1 39.844 (34.338)	Prec@5 70.312 (64.703)
Epoch: [25][10450/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 2.5777 (2.7531)	Prec@1 35.938 (34.338)	Prec@5 64.844 (64.701)
Epoch: [25][10460/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.9559 (2.7532)	Prec@1 31.250 (34.336)	Prec@5 60.938 (64.700)
Epoch: [25][10470/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.9054 (2.7532)	Prec@1 30.469 (34.336)	Prec@5 62.500 (64.699)
Epoch: [25][10480/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.6567 (2.7532)	Prec@1 36.719 (34.336)	Prec@5 66.406 (64.697)
Epoch: [25][10490/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.6030 (2.7532)	Prec@1 41.406 (34.338)	Prec@5 68.750 (64.700)
Epoch: [25][10500/14090]	Time 0.864 (0.765)	Data 0.001 (0.001)	Loss 2.7963 (2.7532)	Prec@1 35.156 (34.338)	Prec@5 67.969 (64.701)
Epoch: [25][10510/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.7981 (2.7532)	Prec@1 35.156 (34.337)	Prec@5 66.406 (64.702)
Epoch: [25][10520/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.9640 (2.7532)	Prec@1 30.469 (34.337)	Prec@5 60.156 (64.701)
Epoch: [25][10530/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.5848 (2.7532)	Prec@1 36.719 (34.338)	Prec@5 64.844 (64.702)
Epoch: [25][10540/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.6635 (2.7532)	Prec@1 33.594 (34.340)	Prec@5 71.875 (64.701)
Epoch: [25][10550/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.8192 (2.7531)	Prec@1 35.938 (34.341)	Prec@5 62.500 (64.703)
Epoch: [25][10560/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 3.0720 (2.7532)	Prec@1 25.781 (34.337)	Prec@5 57.812 (64.699)
Epoch: [25][10570/14090]	Time 0.878 (0.765)	Data 0.001 (0.001)	Loss 2.8588 (2.7533)	Prec@1 32.031 (34.336)	Prec@5 66.406 (64.698)
Epoch: [25][10580/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.9480 (2.7532)	Prec@1 25.781 (34.335)	Prec@5 61.719 (64.700)
Epoch: [25][10590/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.6322 (2.7532)	Prec@1 33.594 (34.336)	Prec@5 63.281 (64.700)
Epoch: [25][10600/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.7643 (2.7531)	Prec@1 28.906 (34.337)	Prec@5 71.094 (64.702)
Epoch: [25][10610/14090]	Time 0.722 (0.765)	Data 0.001 (0.001)	Loss 2.8279 (2.7531)	Prec@1 28.125 (34.336)	Prec@5 60.156 (64.702)
Epoch: [25][10620/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.8784 (2.7531)	Prec@1 35.938 (34.336)	Prec@5 64.062 (64.702)
Epoch: [25][10630/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.7318 (2.7530)	Prec@1 39.844 (34.339)	Prec@5 70.312 (64.704)
Epoch: [25][10640/14090]	Time 0.868 (0.765)	Data 0.001 (0.001)	Loss 2.3325 (2.7529)	Prec@1 45.312 (34.339)	Prec@5 73.438 (64.706)
Epoch: [25][10650/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 2.6461 (2.7531)	Prec@1 34.375 (34.338)	Prec@5 67.969 (64.703)
Epoch: [25][10660/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.5654 (2.7530)	Prec@1 42.188 (34.339)	Prec@5 67.188 (64.704)
Epoch: [25][10670/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 2.6760 (2.7530)	Prec@1 32.812 (34.340)	Prec@5 67.969 (64.704)
Epoch: [25][10680/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.9001 (2.7530)	Prec@1 30.469 (34.339)	Prec@5 61.719 (64.702)
Epoch: [25][10690/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.5386 (2.7529)	Prec@1 35.156 (34.340)	Prec@5 70.312 (64.704)
Epoch: [25][10700/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.9054 (2.7530)	Prec@1 29.688 (34.339)	Prec@5 62.500 (64.702)
Epoch: [25][10710/14090]	Time 0.868 (0.765)	Data 0.001 (0.001)	Loss 2.5951 (2.7529)	Prec@1 34.375 (34.342)	Prec@5 69.531 (64.705)
Epoch: [25][10720/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.8764 (2.7529)	Prec@1 29.688 (34.341)	Prec@5 63.281 (64.704)
Epoch: [25][10730/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.6058 (2.7529)	Prec@1 44.531 (34.343)	Prec@5 67.188 (64.705)
Epoch: [25][10740/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.9736 (2.7530)	Prec@1 30.469 (34.341)	Prec@5 55.469 (64.703)
Epoch: [25][10750/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.9153 (2.7530)	Prec@1 28.906 (34.341)	Prec@5 56.250 (64.702)
Epoch: [25][10760/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 3.1284 (2.7530)	Prec@1 34.375 (34.341)	Prec@5 56.250 (64.702)
Epoch: [25][10770/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 2.6550 (2.7529)	Prec@1 35.156 (34.340)	Prec@5 67.969 (64.704)
Epoch: [25][10780/14090]	Time 0.836 (0.765)	Data 0.001 (0.001)	Loss 2.4882 (2.7529)	Prec@1 39.062 (34.339)	Prec@5 71.094 (64.705)
Epoch: [25][10790/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.4958 (2.7529)	Prec@1 38.281 (34.340)	Prec@5 70.312 (64.705)
Epoch: [25][10800/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.6109 (2.7528)	Prec@1 35.938 (34.342)	Prec@5 65.625 (64.706)
Epoch: [25][10810/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.9212 (2.7528)	Prec@1 30.469 (34.342)	Prec@5 60.156 (64.707)
Epoch: [25][10820/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.8850 (2.7528)	Prec@1 35.156 (34.341)	Prec@5 60.938 (64.704)
Epoch: [25][10830/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.7111 (2.7529)	Prec@1 31.250 (34.339)	Prec@5 62.500 (64.703)
Epoch: [25][10840/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.7630 (2.7530)	Prec@1 35.938 (34.338)	Prec@5 63.281 (64.700)
Epoch: [25][10850/14090]	Time 0.904 (0.765)	Data 0.001 (0.001)	Loss 2.6319 (2.7529)	Prec@1 38.281 (34.339)	Prec@5 67.969 (64.702)
Epoch: [25][10860/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.9519 (2.7529)	Prec@1 24.219 (34.340)	Prec@5 65.625 (64.702)
Epoch: [25][10870/14090]	Time 0.766 (0.765)	Data 0.001 (0.001)	Loss 2.7819 (2.7528)	Prec@1 30.469 (34.339)	Prec@5 62.500 (64.703)
Epoch: [25][10880/14090]	Time 0.778 (0.765)	Data 0.001 (0.001)	Loss 3.0814 (2.7528)	Prec@1 28.906 (34.339)	Prec@5 62.500 (64.703)
Epoch: [25][10890/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.7271 (2.7528)	Prec@1 35.938 (34.337)	Prec@5 63.281 (64.702)
Epoch: [25][10900/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.4411 (2.7528)	Prec@1 42.969 (34.338)	Prec@5 67.188 (64.703)
Epoch: [25][10910/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.4652 (2.7527)	Prec@1 41.406 (34.340)	Prec@5 66.406 (64.704)
Epoch: [25][10920/14090]	Time 0.940 (0.765)	Data 0.001 (0.001)	Loss 2.9386 (2.7528)	Prec@1 27.344 (34.339)	Prec@5 60.938 (64.705)
Epoch: [25][10930/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.8640 (2.7527)	Prec@1 32.031 (34.339)	Prec@5 60.156 (64.706)
Epoch: [25][10940/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.8061 (2.7527)	Prec@1 33.594 (34.339)	Prec@5 61.719 (64.706)
Epoch: [25][10950/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.6294 (2.7527)	Prec@1 39.844 (34.338)	Prec@5 67.969 (64.705)
Epoch: [25][10960/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.7281 (2.7528)	Prec@1 39.844 (34.339)	Prec@5 67.188 (64.705)
Epoch: [25][10970/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.7645 (2.7528)	Prec@1 31.250 (34.338)	Prec@5 62.500 (64.704)
Epoch: [25][10980/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.3975 (2.7528)	Prec@1 39.062 (34.339)	Prec@5 76.562 (64.704)
Epoch: [25][10990/14090]	Time 0.847 (0.765)	Data 0.001 (0.001)	Loss 2.6158 (2.7528)	Prec@1 39.062 (34.340)	Prec@5 71.094 (64.704)
Epoch: [25][11000/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.5735 (2.7527)	Prec@1 40.625 (34.341)	Prec@5 67.188 (64.706)
Epoch: [25][11010/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.8815 (2.7527)	Prec@1 31.250 (34.342)	Prec@5 68.750 (64.705)
Epoch: [25][11020/14090]	Time 0.769 (0.765)	Data 0.001 (0.001)	Loss 2.9326 (2.7527)	Prec@1 30.469 (34.343)	Prec@5 54.688 (64.705)
Epoch: [25][11030/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.5798 (2.7527)	Prec@1 40.625 (34.342)	Prec@5 71.094 (64.704)
Epoch: [25][11040/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.7651 (2.7527)	Prec@1 32.031 (34.345)	Prec@5 68.750 (64.703)
Epoch: [25][11050/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.7263 (2.7527)	Prec@1 35.156 (34.345)	Prec@5 64.844 (64.703)
Epoch: [25][11060/14090]	Time 0.850 (0.765)	Data 0.001 (0.001)	Loss 2.6969 (2.7527)	Prec@1 37.500 (34.347)	Prec@5 64.844 (64.704)
Epoch: [25][11070/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.9310 (2.7527)	Prec@1 35.938 (34.346)	Prec@5 63.281 (64.703)
Epoch: [25][11080/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.6565 (2.7526)	Prec@1 28.125 (34.348)	Prec@5 63.281 (64.704)
Epoch: [25][11090/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.5896 (2.7526)	Prec@1 40.625 (34.347)	Prec@5 68.750 (64.705)
Epoch: [25][11100/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.7780 (2.7526)	Prec@1 35.156 (34.348)	Prec@5 64.062 (64.703)
Epoch: [25][11110/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.8932 (2.7527)	Prec@1 35.938 (34.347)	Prec@5 59.375 (64.703)
Epoch: [25][11120/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.8889 (2.7526)	Prec@1 35.156 (34.349)	Prec@5 61.719 (64.704)
Epoch: [25][11130/14090]	Time 0.857 (0.765)	Data 0.001 (0.001)	Loss 2.6811 (2.7525)	Prec@1 32.812 (34.351)	Prec@5 65.625 (64.706)
Epoch: [25][11140/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.4882 (2.7525)	Prec@1 37.500 (34.351)	Prec@5 69.531 (64.707)
Epoch: [25][11150/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.8215 (2.7524)	Prec@1 35.938 (34.352)	Prec@5 63.281 (64.708)
Epoch: [25][11160/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.7570 (2.7524)	Prec@1 35.156 (34.352)	Prec@5 59.375 (64.709)
Epoch: [25][11170/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.7944 (2.7525)	Prec@1 32.812 (34.351)	Prec@5 65.625 (64.708)
Epoch: [25][11180/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.8924 (2.7525)	Prec@1 32.031 (34.349)	Prec@5 57.812 (64.706)
Epoch: [25][11190/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 3.0240 (2.7526)	Prec@1 32.031 (34.349)	Prec@5 59.375 (64.704)
Epoch: [25][11200/14090]	Time 0.855 (0.765)	Data 0.001 (0.001)	Loss 2.6273 (2.7525)	Prec@1 33.594 (34.348)	Prec@5 65.625 (64.705)
Epoch: [25][11210/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.3773 (2.7525)	Prec@1 43.750 (34.350)	Prec@5 71.094 (64.706)
Epoch: [25][11220/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.8777 (2.7525)	Prec@1 32.031 (34.351)	Prec@5 64.844 (64.706)
Epoch: [25][11230/14090]	Time 0.723 (0.765)	Data 0.000 (0.001)	Loss 2.6883 (2.7525)	Prec@1 35.156 (34.352)	Prec@5 62.500 (64.706)
Epoch: [25][11240/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 3.0509 (2.7526)	Prec@1 30.469 (34.351)	Prec@5 57.812 (64.705)
Epoch: [25][11250/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.9336 (2.7526)	Prec@1 32.031 (34.351)	Prec@5 55.469 (64.704)
Epoch: [25][11260/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.7520 (2.7525)	Prec@1 32.812 (34.353)	Prec@5 64.844 (64.706)
Epoch: [25][11270/14090]	Time 0.857 (0.765)	Data 0.001 (0.001)	Loss 2.6884 (2.7525)	Prec@1 28.906 (34.352)	Prec@5 71.094 (64.707)
Epoch: [25][11280/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 3.0117 (2.7526)	Prec@1 28.906 (34.352)	Prec@5 54.688 (64.705)
Epoch: [25][11290/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.6324 (2.7526)	Prec@1 30.469 (34.350)	Prec@5 66.406 (64.704)
Epoch: [25][11300/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.7901 (2.7526)	Prec@1 32.812 (34.350)	Prec@5 63.281 (64.705)
Epoch: [25][11310/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.9796 (2.7527)	Prec@1 28.125 (34.349)	Prec@5 60.938 (64.704)
Epoch: [25][11320/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.8284 (2.7527)	Prec@1 33.594 (34.349)	Prec@5 64.062 (64.704)
Epoch: [25][11330/14090]	Time 0.767 (0.765)	Data 0.001 (0.001)	Loss 2.6484 (2.7527)	Prec@1 36.719 (34.350)	Prec@5 61.719 (64.704)
Epoch: [25][11340/14090]	Time 0.878 (0.765)	Data 0.001 (0.001)	Loss 2.5069 (2.7526)	Prec@1 40.625 (34.351)	Prec@5 69.531 (64.705)
Epoch: [25][11350/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.5575 (2.7526)	Prec@1 40.625 (34.352)	Prec@5 72.656 (64.706)
Epoch: [25][11360/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.5305 (2.7526)	Prec@1 37.500 (34.352)	Prec@5 70.312 (64.706)
Epoch: [25][11370/14090]	Time 0.777 (0.765)	Data 0.001 (0.001)	Loss 2.8354 (2.7525)	Prec@1 34.375 (34.354)	Prec@5 60.156 (64.707)
Epoch: [25][11380/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.8178 (2.7525)	Prec@1 27.344 (34.352)	Prec@5 62.500 (64.707)
Epoch: [25][11390/14090]	Time 0.770 (0.765)	Data 0.001 (0.001)	Loss 2.8479 (2.7526)	Prec@1 35.156 (34.352)	Prec@5 64.062 (64.705)
Epoch: [25][11400/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.7073 (2.7526)	Prec@1 35.938 (34.354)	Prec@5 66.406 (64.705)
Epoch: [25][11410/14090]	Time 0.833 (0.765)	Data 0.002 (0.001)	Loss 2.7489 (2.7526)	Prec@1 38.281 (34.354)	Prec@5 60.156 (64.705)
Epoch: [25][11420/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 3.0316 (2.7526)	Prec@1 31.250 (34.353)	Prec@5 60.156 (64.704)
Epoch: [25][11430/14090]	Time 0.752 (0.765)	Data 0.002 (0.001)	Loss 2.7234 (2.7526)	Prec@1 34.375 (34.352)	Prec@5 63.281 (64.703)
Epoch: [25][11440/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.5421 (2.7527)	Prec@1 38.281 (34.351)	Prec@5 68.750 (64.703)
Epoch: [25][11450/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.8164 (2.7526)	Prec@1 32.031 (34.351)	Prec@5 61.719 (64.704)
Epoch: [25][11460/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.7831 (2.7527)	Prec@1 35.938 (34.351)	Prec@5 64.062 (64.703)
Epoch: [25][11470/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.9021 (2.7526)	Prec@1 29.688 (34.352)	Prec@5 65.625 (64.704)
Epoch: [25][11480/14090]	Time 0.856 (0.765)	Data 0.001 (0.001)	Loss 2.7691 (2.7526)	Prec@1 34.375 (34.354)	Prec@5 64.062 (64.705)
Epoch: [25][11490/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.8387 (2.7526)	Prec@1 29.688 (34.352)	Prec@5 60.156 (64.704)
Epoch: [25][11500/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.7334 (2.7527)	Prec@1 33.594 (34.352)	Prec@5 64.844 (64.704)
Epoch: [25][11510/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.4656 (2.7526)	Prec@1 41.406 (34.353)	Prec@5 70.312 (64.704)
Epoch: [25][11520/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.6505 (2.7526)	Prec@1 38.281 (34.355)	Prec@5 63.281 (64.704)
Epoch: [25][11530/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.7976 (2.7526)	Prec@1 32.812 (34.354)	Prec@5 64.062 (64.703)
Epoch: [25][11540/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.6141 (2.7527)	Prec@1 35.156 (34.353)	Prec@5 68.750 (64.703)
Epoch: [25][11550/14090]	Time 0.856 (0.765)	Data 0.001 (0.001)	Loss 2.7199 (2.7527)	Prec@1 35.938 (34.354)	Prec@5 67.188 (64.702)
Epoch: [25][11560/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.4674 (2.7526)	Prec@1 38.281 (34.354)	Prec@5 71.875 (64.702)
Epoch: [25][11570/14090]	Time 0.749 (0.765)	Data 0.002 (0.001)	Loss 2.3199 (2.7526)	Prec@1 46.094 (34.355)	Prec@5 75.000 (64.703)
Epoch: [25][11580/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.6316 (2.7526)	Prec@1 38.281 (34.355)	Prec@5 65.625 (64.702)
Epoch: [25][11590/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.6527 (2.7526)	Prec@1 37.500 (34.355)	Prec@5 64.062 (64.703)
Epoch: [25][11600/14090]	Time 0.768 (0.765)	Data 0.001 (0.001)	Loss 2.7971 (2.7525)	Prec@1 35.938 (34.356)	Prec@5 61.719 (64.705)
Epoch: [25][11610/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.8821 (2.7525)	Prec@1 33.594 (34.355)	Prec@5 60.938 (64.704)
Epoch: [25][11620/14090]	Time 0.846 (0.765)	Data 0.001 (0.001)	Loss 2.7684 (2.7526)	Prec@1 34.375 (34.355)	Prec@5 62.500 (64.704)
Epoch: [25][11630/14090]	Time 0.774 (0.765)	Data 0.001 (0.001)	Loss 2.7849 (2.7526)	Prec@1 28.125 (34.354)	Prec@5 64.844 (64.702)
Epoch: [25][11640/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 3.0210 (2.7526)	Prec@1 32.031 (34.353)	Prec@5 60.938 (64.703)
Epoch: [25][11650/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 3.0618 (2.7526)	Prec@1 26.562 (34.353)	Prec@5 57.031 (64.704)
Epoch: [25][11660/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.8383 (2.7526)	Prec@1 29.688 (34.352)	Prec@5 64.062 (64.702)
Epoch: [25][11670/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.5923 (2.7526)	Prec@1 40.625 (34.354)	Prec@5 61.719 (64.704)
Epoch: [25][11680/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.7318 (2.7525)	Prec@1 38.281 (34.355)	Prec@5 64.844 (64.705)
Epoch: [25][11690/14090]	Time 0.856 (0.765)	Data 0.001 (0.001)	Loss 2.9249 (2.7525)	Prec@1 30.469 (34.356)	Prec@5 64.844 (64.707)
Epoch: [25][11700/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.8405 (2.7525)	Prec@1 32.812 (34.355)	Prec@5 64.844 (64.707)
Epoch: [25][11710/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.8018 (2.7525)	Prec@1 30.469 (34.354)	Prec@5 64.844 (64.706)
Epoch: [25][11720/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.7776 (2.7525)	Prec@1 31.250 (34.354)	Prec@5 65.625 (64.705)
Epoch: [25][11730/14090]	Time 0.767 (0.765)	Data 0.001 (0.001)	Loss 2.8040 (2.7525)	Prec@1 32.812 (34.353)	Prec@5 63.281 (64.705)
Epoch: [25][11740/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 3.2224 (2.7527)	Prec@1 17.969 (34.349)	Prec@5 57.031 (64.702)
Epoch: [25][11750/14090]	Time 0.772 (0.765)	Data 0.001 (0.001)	Loss 2.6343 (2.7527)	Prec@1 36.719 (34.350)	Prec@5 64.062 (64.701)
Epoch: [25][11760/14090]	Time 0.904 (0.765)	Data 0.001 (0.001)	Loss 2.7506 (2.7528)	Prec@1 38.281 (34.348)	Prec@5 67.969 (64.700)
Epoch: [25][11770/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 3.2151 (2.7528)	Prec@1 24.219 (34.348)	Prec@5 59.375 (64.700)
Epoch: [25][11780/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.5245 (2.7527)	Prec@1 37.500 (34.349)	Prec@5 66.406 (64.700)
Epoch: [25][11790/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.8216 (2.7527)	Prec@1 39.062 (34.350)	Prec@5 59.375 (64.701)
Epoch: [25][11800/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.9989 (2.7528)	Prec@1 32.812 (34.349)	Prec@5 60.156 (64.701)
Epoch: [25][11810/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 3.0964 (2.7528)	Prec@1 28.125 (34.349)	Prec@5 57.031 (64.700)
Epoch: [25][11820/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.4730 (2.7528)	Prec@1 40.625 (34.351)	Prec@5 70.312 (64.702)
Epoch: [25][11830/14090]	Time 0.866 (0.765)	Data 0.001 (0.001)	Loss 2.5864 (2.7526)	Prec@1 38.281 (34.353)	Prec@5 71.875 (64.703)
Epoch: [25][11840/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.7743 (2.7527)	Prec@1 32.812 (34.351)	Prec@5 68.750 (64.702)
Epoch: [25][11850/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.4468 (2.7528)	Prec@1 35.938 (34.349)	Prec@5 65.625 (64.702)
Epoch: [25][11860/14090]	Time 0.768 (0.765)	Data 0.001 (0.001)	Loss 2.6554 (2.7528)	Prec@1 36.719 (34.348)	Prec@5 67.969 (64.702)
Epoch: [25][11870/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.7596 (2.7528)	Prec@1 30.469 (34.346)	Prec@5 63.281 (64.701)
Epoch: [25][11880/14090]	Time 0.769 (0.765)	Data 0.001 (0.001)	Loss 2.7264 (2.7528)	Prec@1 39.062 (34.348)	Prec@5 67.969 (64.701)
Epoch: [25][11890/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.5615 (2.7528)	Prec@1 35.938 (34.348)	Prec@5 74.219 (64.703)
Epoch: [25][11900/14090]	Time 0.836 (0.765)	Data 0.001 (0.001)	Loss 2.9580 (2.7528)	Prec@1 33.594 (34.349)	Prec@5 63.281 (64.701)
Epoch: [25][11910/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.5589 (2.7528)	Prec@1 34.375 (34.349)	Prec@5 67.188 (64.701)
Epoch: [25][11920/14090]	Time 0.773 (0.765)	Data 0.001 (0.001)	Loss 2.5641 (2.7528)	Prec@1 39.844 (34.349)	Prec@5 71.875 (64.700)
Epoch: [25][11930/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.7687 (2.7529)	Prec@1 35.156 (34.347)	Prec@5 64.844 (64.699)
Epoch: [25][11940/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.5930 (2.7528)	Prec@1 36.719 (34.348)	Prec@5 70.312 (64.702)
Epoch: [25][11950/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.9945 (2.7528)	Prec@1 26.562 (34.346)	Prec@5 60.156 (64.702)
Epoch: [25][11960/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.6636 (2.7527)	Prec@1 37.500 (34.347)	Prec@5 64.062 (64.703)
Epoch: [25][11970/14090]	Time 0.876 (0.765)	Data 0.001 (0.001)	Loss 2.5158 (2.7527)	Prec@1 36.719 (34.348)	Prec@5 70.312 (64.704)
Epoch: [25][11980/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.6760 (2.7527)	Prec@1 33.594 (34.349)	Prec@5 68.750 (64.703)
Epoch: [25][11990/14090]	Time 0.779 (0.765)	Data 0.001 (0.001)	Loss 3.0132 (2.7528)	Prec@1 28.906 (34.347)	Prec@5 58.594 (64.701)
Epoch: [25][12000/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.8885 (2.7528)	Prec@1 32.812 (34.348)	Prec@5 60.938 (64.699)
Epoch: [25][12010/14090]	Time 0.769 (0.765)	Data 0.001 (0.001)	Loss 2.7030 (2.7528)	Prec@1 38.281 (34.348)	Prec@5 61.719 (64.700)
Epoch: [25][12020/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.3529 (2.7528)	Prec@1 44.531 (34.348)	Prec@5 67.188 (64.700)
Epoch: [25][12030/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.6339 (2.7528)	Prec@1 39.844 (34.350)	Prec@5 64.844 (64.700)
Epoch: [25][12040/14090]	Time 0.862 (0.765)	Data 0.001 (0.001)	Loss 2.8199 (2.7529)	Prec@1 30.469 (34.349)	Prec@5 64.062 (64.700)
Epoch: [25][12050/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.5286 (2.7528)	Prec@1 39.844 (34.350)	Prec@5 68.750 (64.700)
Epoch: [25][12060/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.8226 (2.7528)	Prec@1 30.469 (34.351)	Prec@5 64.062 (64.701)
Epoch: [25][12070/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.4709 (2.7527)	Prec@1 37.500 (34.352)	Prec@5 70.312 (64.702)
Epoch: [25][12080/14090]	Time 0.770 (0.765)	Data 0.001 (0.001)	Loss 3.1350 (2.7528)	Prec@1 25.000 (34.351)	Prec@5 60.938 (64.701)
Epoch: [25][12090/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.9663 (2.7528)	Prec@1 38.281 (34.352)	Prec@5 57.812 (64.699)
Epoch: [25][12100/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.7557 (2.7529)	Prec@1 31.250 (34.350)	Prec@5 61.719 (64.698)
Epoch: [25][12110/14090]	Time 0.854 (0.765)	Data 0.001 (0.001)	Loss 2.8732 (2.7529)	Prec@1 32.812 (34.350)	Prec@5 62.500 (64.698)
Epoch: [25][12120/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.9065 (2.7529)	Prec@1 26.562 (34.350)	Prec@5 59.375 (64.698)
Epoch: [25][12130/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.7527 (2.7529)	Prec@1 39.062 (34.350)	Prec@5 66.406 (64.697)
Epoch: [25][12140/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.5520 (2.7528)	Prec@1 32.812 (34.352)	Prec@5 67.188 (64.699)
Epoch: [25][12150/14090]	Time 0.773 (0.765)	Data 0.001 (0.001)	Loss 2.5689 (2.7528)	Prec@1 41.406 (34.351)	Prec@5 69.531 (64.699)
Epoch: [25][12160/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.9747 (2.7528)	Prec@1 28.125 (34.351)	Prec@5 61.719 (64.700)
Epoch: [25][12170/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.7067 (2.7527)	Prec@1 28.906 (34.352)	Prec@5 59.375 (64.699)
Epoch: [25][12180/14090]	Time 0.907 (0.765)	Data 0.001 (0.001)	Loss 2.8852 (2.7528)	Prec@1 34.375 (34.352)	Prec@5 64.062 (64.698)
Epoch: [25][12190/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.5618 (2.7529)	Prec@1 38.281 (34.352)	Prec@5 64.844 (64.695)
Epoch: [25][12200/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.6713 (2.7529)	Prec@1 37.500 (34.352)	Prec@5 66.406 (64.695)
Epoch: [25][12210/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.7145 (2.7529)	Prec@1 35.938 (34.352)	Prec@5 66.406 (64.694)
Epoch: [25][12220/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.6049 (2.7528)	Prec@1 37.500 (34.351)	Prec@5 64.844 (64.695)
Epoch: [25][12230/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.6535 (2.7528)	Prec@1 34.375 (34.351)	Prec@5 68.750 (64.694)
Epoch: [25][12240/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.6906 (2.7528)	Prec@1 37.500 (34.351)	Prec@5 67.969 (64.694)
Epoch: [25][12250/14090]	Time 0.854 (0.765)	Data 0.001 (0.001)	Loss 2.9058 (2.7528)	Prec@1 31.250 (34.351)	Prec@5 57.812 (64.693)
Epoch: [25][12260/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 2.9304 (2.7529)	Prec@1 32.031 (34.350)	Prec@5 67.188 (64.693)
Epoch: [25][12270/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.7528 (2.7529)	Prec@1 38.281 (34.350)	Prec@5 66.406 (64.693)
Epoch: [25][12280/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.5283 (2.7528)	Prec@1 39.844 (34.351)	Prec@5 67.969 (64.693)
Epoch: [25][12290/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 3.0409 (2.7529)	Prec@1 27.344 (34.351)	Prec@5 59.375 (64.694)
Epoch: [25][12300/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 3.0186 (2.7529)	Prec@1 25.781 (34.349)	Prec@5 61.719 (64.693)
Epoch: [25][12310/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.5571 (2.7530)	Prec@1 36.719 (34.347)	Prec@5 68.750 (64.691)
Epoch: [25][12320/14090]	Time 1.004 (0.765)	Data 0.001 (0.001)	Loss 2.7968 (2.7530)	Prec@1 40.625 (34.348)	Prec@5 67.969 (64.691)
Epoch: [25][12330/14090]	Time 0.769 (0.765)	Data 0.001 (0.001)	Loss 3.0528 (2.7530)	Prec@1 28.125 (34.348)	Prec@5 64.062 (64.691)
Epoch: [25][12340/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.8910 (2.7530)	Prec@1 25.781 (34.348)	Prec@5 63.281 (64.691)
Epoch: [25][12350/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.7157 (2.7530)	Prec@1 32.812 (34.348)	Prec@5 64.062 (64.691)
Epoch: [25][12360/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.8732 (2.7530)	Prec@1 34.375 (34.345)	Prec@5 59.375 (64.691)
Epoch: [25][12370/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.8055 (2.7530)	Prec@1 32.031 (34.347)	Prec@5 60.938 (64.691)
Epoch: [25][12380/14090]	Time 0.766 (0.765)	Data 0.001 (0.001)	Loss 2.8314 (2.7529)	Prec@1 32.812 (34.349)	Prec@5 65.625 (64.693)
Epoch: [25][12390/14090]	Time 0.837 (0.765)	Data 0.001 (0.001)	Loss 2.9290 (2.7530)	Prec@1 29.688 (34.347)	Prec@5 62.500 (64.692)
Epoch: [25][12400/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.9017 (2.7530)	Prec@1 30.469 (34.347)	Prec@5 60.938 (64.691)
Epoch: [25][12410/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.5695 (2.7530)	Prec@1 38.281 (34.347)	Prec@5 66.406 (64.692)
Epoch: [25][12420/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.8530 (2.7530)	Prec@1 32.812 (34.345)	Prec@5 62.500 (64.692)
Epoch: [25][12430/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.8839 (2.7530)	Prec@1 28.125 (34.345)	Prec@5 64.062 (64.692)
Epoch: [25][12440/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.6548 (2.7530)	Prec@1 36.719 (34.345)	Prec@5 64.062 (64.691)
Epoch: [25][12450/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.9213 (2.7530)	Prec@1 31.250 (34.345)	Prec@5 55.469 (64.691)
Epoch: [25][12460/14090]	Time 0.879 (0.765)	Data 0.001 (0.001)	Loss 2.3850 (2.7529)	Prec@1 39.062 (34.346)	Prec@5 69.531 (64.692)
Epoch: [25][12470/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.7622 (2.7530)	Prec@1 31.250 (34.345)	Prec@5 62.500 (64.692)
Epoch: [25][12480/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.9906 (2.7530)	Prec@1 30.469 (34.345)	Prec@5 64.844 (64.691)
Epoch: [25][12490/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.8145 (2.7530)	Prec@1 35.938 (34.344)	Prec@5 64.062 (64.689)
Epoch: [25][12500/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 3.0895 (2.7531)	Prec@1 28.906 (34.343)	Prec@5 60.156 (64.688)
Epoch: [25][12510/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.9079 (2.7531)	Prec@1 35.938 (34.343)	Prec@5 60.938 (64.688)
Epoch: [25][12520/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.9049 (2.7531)	Prec@1 30.469 (34.343)	Prec@5 59.375 (64.689)
Epoch: [25][12530/14090]	Time 0.891 (0.765)	Data 0.001 (0.001)	Loss 2.9009 (2.7532)	Prec@1 31.250 (34.342)	Prec@5 57.031 (64.688)
Epoch: [25][12540/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.7728 (2.7532)	Prec@1 32.812 (34.342)	Prec@5 63.281 (64.688)
Epoch: [25][12550/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 2.8376 (2.7532)	Prec@1 32.031 (34.341)	Prec@5 62.500 (64.687)
Epoch: [25][12560/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.9781 (2.7532)	Prec@1 25.781 (34.339)	Prec@5 59.375 (64.686)
Epoch: [25][12570/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.8662 (2.7533)	Prec@1 33.594 (34.339)	Prec@5 63.281 (64.686)
Epoch: [25][12580/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.7455 (2.7533)	Prec@1 35.938 (34.339)	Prec@5 69.531 (64.686)
Epoch: [25][12590/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 3.0338 (2.7534)	Prec@1 27.344 (34.338)	Prec@5 56.250 (64.685)
Epoch: [25][12600/14090]	Time 0.866 (0.765)	Data 0.001 (0.001)	Loss 2.4603 (2.7533)	Prec@1 42.188 (34.339)	Prec@5 72.656 (64.686)
Epoch: [25][12610/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.6255 (2.7533)	Prec@1 37.500 (34.339)	Prec@5 66.406 (64.687)
Epoch: [25][12620/14090]	Time 0.717 (0.765)	Data 0.001 (0.001)	Loss 2.6660 (2.7533)	Prec@1 39.062 (34.340)	Prec@5 69.531 (64.689)
Epoch: [25][12630/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.8881 (2.7532)	Prec@1 31.250 (34.341)	Prec@5 60.156 (64.691)
Epoch: [25][12640/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.6399 (2.7532)	Prec@1 38.281 (34.341)	Prec@5 69.531 (64.690)
Epoch: [25][12650/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.6643 (2.7532)	Prec@1 32.812 (34.341)	Prec@5 70.312 (64.692)
Epoch: [25][12660/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.5610 (2.7532)	Prec@1 38.281 (34.340)	Prec@5 66.406 (64.691)
Epoch: [25][12670/14090]	Time 0.837 (0.765)	Data 0.001 (0.001)	Loss 2.5279 (2.7532)	Prec@1 41.406 (34.340)	Prec@5 69.531 (64.691)
Epoch: [25][12680/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.4848 (2.7532)	Prec@1 42.188 (34.339)	Prec@5 67.188 (64.691)
Epoch: [25][12690/14090]	Time 0.774 (0.765)	Data 0.001 (0.001)	Loss 2.8318 (2.7532)	Prec@1 30.469 (34.339)	Prec@5 64.062 (64.690)
Epoch: [25][12700/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 3.0442 (2.7532)	Prec@1 28.906 (34.339)	Prec@5 62.500 (64.691)
Epoch: [25][12710/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.6684 (2.7533)	Prec@1 36.719 (34.339)	Prec@5 64.844 (64.690)
Epoch: [25][12720/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.6747 (2.7533)	Prec@1 34.375 (34.338)	Prec@5 69.531 (64.690)
Epoch: [25][12730/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.5380 (2.7533)	Prec@1 32.031 (34.337)	Prec@5 64.844 (64.690)
Epoch: [25][12740/14090]	Time 0.844 (0.765)	Data 0.001 (0.001)	Loss 2.5031 (2.7531)	Prec@1 43.750 (34.340)	Prec@5 69.531 (64.693)
Epoch: [25][12750/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 2.9190 (2.7532)	Prec@1 34.375 (34.339)	Prec@5 62.500 (64.692)
Epoch: [25][12760/14090]	Time 0.741 (0.765)	Data 0.002 (0.001)	Loss 2.7784 (2.7533)	Prec@1 33.594 (34.339)	Prec@5 64.844 (64.691)
Epoch: [25][12770/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.6638 (2.7533)	Prec@1 37.500 (34.339)	Prec@5 70.312 (64.692)
Epoch: [25][12780/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.6433 (2.7532)	Prec@1 35.156 (34.339)	Prec@5 69.531 (64.693)
Epoch: [25][12790/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.8317 (2.7533)	Prec@1 35.938 (34.338)	Prec@5 60.156 (64.691)
Epoch: [25][12800/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.4596 (2.7533)	Prec@1 34.375 (34.339)	Prec@5 75.781 (64.691)
Epoch: [25][12810/14090]	Time 0.857 (0.765)	Data 0.001 (0.001)	Loss 2.8306 (2.7532)	Prec@1 35.938 (34.340)	Prec@5 64.062 (64.693)
Epoch: [25][12820/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.5678 (2.7532)	Prec@1 38.281 (34.339)	Prec@5 70.312 (64.692)
Epoch: [25][12830/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 3.0658 (2.7532)	Prec@1 32.812 (34.340)	Prec@5 57.812 (64.691)
Epoch: [25][12840/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.6416 (2.7532)	Prec@1 31.250 (34.340)	Prec@5 71.094 (64.692)
Epoch: [25][12850/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.7859 (2.7532)	Prec@1 36.719 (34.340)	Prec@5 65.625 (64.691)
Epoch: [25][12860/14090]	Time 0.719 (0.765)	Data 0.001 (0.001)	Loss 2.5017 (2.7532)	Prec@1 40.625 (34.340)	Prec@5 67.188 (64.692)
Epoch: [25][12870/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.8145 (2.7532)	Prec@1 31.250 (34.339)	Prec@5 61.719 (64.691)
Epoch: [25][12880/14090]	Time 0.914 (0.765)	Data 0.001 (0.001)	Loss 3.1803 (2.7533)	Prec@1 28.125 (34.338)	Prec@5 53.906 (64.689)
Epoch: [25][12890/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.8870 (2.7534)	Prec@1 35.938 (34.336)	Prec@5 58.594 (64.687)
Epoch: [25][12900/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.8503 (2.7534)	Prec@1 31.250 (34.337)	Prec@5 64.062 (64.686)
Epoch: [25][12910/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 2.6334 (2.7534)	Prec@1 33.594 (34.336)	Prec@5 66.406 (64.687)
Epoch: [25][12920/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.8762 (2.7534)	Prec@1 32.031 (34.338)	Prec@5 59.375 (64.686)
Epoch: [25][12930/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.7584 (2.7534)	Prec@1 33.594 (34.338)	Prec@5 63.281 (64.685)
Epoch: [25][12940/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.8580 (2.7533)	Prec@1 28.125 (34.338)	Prec@5 62.500 (64.686)
Epoch: [25][12950/14090]	Time 0.869 (0.765)	Data 0.001 (0.001)	Loss 2.6873 (2.7533)	Prec@1 35.156 (34.339)	Prec@5 60.938 (64.685)
Epoch: [25][12960/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 2.7253 (2.7533)	Prec@1 35.156 (34.339)	Prec@5 67.969 (64.685)
Epoch: [25][12970/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.7227 (2.7533)	Prec@1 29.688 (34.340)	Prec@5 65.625 (64.686)
Epoch: [25][12980/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.7993 (2.7533)	Prec@1 32.812 (34.339)	Prec@5 65.625 (64.686)
Epoch: [25][12990/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 3.0277 (2.7534)	Prec@1 27.344 (34.338)	Prec@5 57.812 (64.685)
Epoch: [25][13000/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.5684 (2.7534)	Prec@1 41.406 (34.338)	Prec@5 69.531 (64.685)
Epoch: [25][13010/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.9638 (2.7534)	Prec@1 33.594 (34.338)	Prec@5 63.281 (64.685)
Epoch: [25][13020/14090]	Time 0.837 (0.765)	Data 0.001 (0.001)	Loss 2.9656 (2.7535)	Prec@1 31.250 (34.337)	Prec@5 59.375 (64.684)
Epoch: [25][13030/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.5590 (2.7536)	Prec@1 36.719 (34.337)	Prec@5 67.188 (64.682)
Epoch: [25][13040/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.7950 (2.7535)	Prec@1 32.031 (34.338)	Prec@5 60.938 (64.682)
Epoch: [25][13050/14090]	Time 0.782 (0.765)	Data 0.001 (0.001)	Loss 2.7141 (2.7535)	Prec@1 37.500 (34.338)	Prec@5 63.281 (64.681)
Epoch: [25][13060/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.8475 (2.7536)	Prec@1 33.594 (34.338)	Prec@5 58.594 (64.681)
Epoch: [25][13070/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.3690 (2.7536)	Prec@1 41.406 (34.337)	Prec@5 71.875 (64.681)
Epoch: [25][13080/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 3.0088 (2.7536)	Prec@1 31.250 (34.336)	Prec@5 60.156 (64.681)
Epoch: [25][13090/14090]	Time 0.854 (0.765)	Data 0.001 (0.001)	Loss 2.7805 (2.7536)	Prec@1 32.812 (34.338)	Prec@5 60.938 (64.681)
Epoch: [25][13100/14090]	Time 0.767 (0.765)	Data 0.001 (0.001)	Loss 2.9819 (2.7536)	Prec@1 24.219 (34.337)	Prec@5 58.594 (64.681)
Epoch: [25][13110/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.8261 (2.7536)	Prec@1 38.281 (34.336)	Prec@5 60.938 (64.681)
Epoch: [25][13120/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.9043 (2.7536)	Prec@1 30.469 (34.335)	Prec@5 60.156 (64.680)
Epoch: [25][13130/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.9544 (2.7537)	Prec@1 29.688 (34.334)	Prec@5 60.156 (64.679)
Epoch: [25][13140/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.9406 (2.7537)	Prec@1 28.125 (34.332)	Prec@5 60.938 (64.679)
Epoch: [25][13150/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 3.0059 (2.7537)	Prec@1 21.875 (34.331)	Prec@5 57.031 (64.679)
Epoch: [25][13160/14090]	Time 0.838 (0.765)	Data 0.001 (0.001)	Loss 2.5941 (2.7537)	Prec@1 35.938 (34.332)	Prec@5 66.406 (64.679)
Epoch: [25][13170/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.2560 (2.7537)	Prec@1 43.750 (34.332)	Prec@5 74.219 (64.681)
Epoch: [25][13180/14090]	Time 0.766 (0.765)	Data 0.001 (0.001)	Loss 2.6588 (2.7536)	Prec@1 35.156 (34.333)	Prec@5 64.844 (64.683)
Epoch: [25][13190/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.7976 (2.7537)	Prec@1 30.469 (34.333)	Prec@5 61.719 (64.682)
Epoch: [25][13200/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.7047 (2.7537)	Prec@1 33.594 (34.333)	Prec@5 64.062 (64.682)
Epoch: [25][13210/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.8732 (2.7537)	Prec@1 33.594 (34.333)	Prec@5 62.500 (64.681)
Epoch: [25][13220/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.8659 (2.7537)	Prec@1 41.406 (34.334)	Prec@5 60.156 (64.681)
Epoch: [25][13230/14090]	Time 0.850 (0.765)	Data 0.001 (0.001)	Loss 2.7953 (2.7537)	Prec@1 30.469 (34.335)	Prec@5 66.406 (64.681)
Epoch: [25][13240/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.6928 (2.7537)	Prec@1 38.281 (34.335)	Prec@5 67.188 (64.680)
Epoch: [25][13250/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.6300 (2.7537)	Prec@1 28.125 (34.333)	Prec@5 69.531 (64.679)
Epoch: [25][13260/14090]	Time 0.768 (0.765)	Data 0.001 (0.001)	Loss 2.7231 (2.7537)	Prec@1 32.812 (34.334)	Prec@5 64.062 (64.680)
Epoch: [25][13270/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.9071 (2.7537)	Prec@1 27.344 (34.334)	Prec@5 59.375 (64.679)
Epoch: [25][13280/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.9097 (2.7537)	Prec@1 35.156 (34.335)	Prec@5 60.156 (64.680)
Epoch: [25][13290/14090]	Time 0.771 (0.765)	Data 0.001 (0.001)	Loss 2.5966 (2.7537)	Prec@1 41.406 (34.335)	Prec@5 73.438 (64.681)
Epoch: [25][13300/14090]	Time 0.864 (0.765)	Data 0.001 (0.001)	Loss 2.8006 (2.7537)	Prec@1 34.375 (34.334)	Prec@5 67.188 (64.680)
Epoch: [25][13310/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.5716 (2.7537)	Prec@1 38.281 (34.336)	Prec@5 67.188 (64.681)
Epoch: [25][13320/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.6564 (2.7537)	Prec@1 34.375 (34.336)	Prec@5 64.844 (64.680)
Epoch: [25][13330/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.7608 (2.7537)	Prec@1 30.469 (34.337)	Prec@5 67.969 (64.683)
Epoch: [25][13340/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.6895 (2.7537)	Prec@1 36.719 (34.338)	Prec@5 69.531 (64.682)
Epoch: [25][13350/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.6607 (2.7537)	Prec@1 36.719 (34.339)	Prec@5 68.750 (64.684)
Epoch: [25][13360/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 2.8137 (2.7536)	Prec@1 35.938 (34.340)	Prec@5 65.625 (64.685)
Epoch: [25][13370/14090]	Time 0.847 (0.765)	Data 0.001 (0.001)	Loss 2.8239 (2.7536)	Prec@1 28.125 (34.339)	Prec@5 57.031 (64.684)
Epoch: [25][13380/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.5633 (2.7537)	Prec@1 40.625 (34.340)	Prec@5 66.406 (64.684)
Epoch: [25][13390/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 2.7719 (2.7537)	Prec@1 32.812 (34.340)	Prec@5 64.844 (64.684)
Epoch: [25][13400/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.4677 (2.7537)	Prec@1 42.969 (34.339)	Prec@5 70.312 (64.685)
Epoch: [25][13410/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.7713 (2.7537)	Prec@1 37.500 (34.338)	Prec@5 69.531 (64.685)
Epoch: [25][13420/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.7578 (2.7538)	Prec@1 39.062 (34.339)	Prec@5 65.625 (64.684)
Epoch: [25][13430/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 3.0441 (2.7538)	Prec@1 39.062 (34.339)	Prec@5 61.719 (64.684)
Epoch: [25][13440/14090]	Time 0.868 (0.765)	Data 0.001 (0.001)	Loss 2.8231 (2.7538)	Prec@1 35.156 (34.339)	Prec@5 59.375 (64.684)
Epoch: [25][13450/14090]	Time 0.718 (0.765)	Data 0.001 (0.001)	Loss 2.7475 (2.7538)	Prec@1 32.031 (34.338)	Prec@5 62.500 (64.684)
Epoch: [25][13460/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.8336 (2.7538)	Prec@1 34.375 (34.340)	Prec@5 67.188 (64.684)
Epoch: [25][13470/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.8289 (2.7538)	Prec@1 29.688 (34.340)	Prec@5 66.406 (64.685)
Epoch: [25][13480/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.6176 (2.7537)	Prec@1 35.156 (34.342)	Prec@5 64.062 (64.686)
Epoch: [25][13490/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 2.8905 (2.7537)	Prec@1 32.812 (34.342)	Prec@5 58.594 (64.688)
Epoch: [25][13500/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.7739 (2.7537)	Prec@1 32.031 (34.343)	Prec@5 66.406 (64.688)
Epoch: [25][13510/14090]	Time 0.824 (0.765)	Data 0.001 (0.001)	Loss 2.9970 (2.7538)	Prec@1 31.250 (34.341)	Prec@5 57.812 (64.686)
Epoch: [25][13520/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.8219 (2.7537)	Prec@1 32.812 (34.341)	Prec@5 54.688 (64.686)
Epoch: [25][13530/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.7606 (2.7537)	Prec@1 35.156 (34.341)	Prec@5 64.844 (64.687)
Epoch: [25][13540/14090]	Time 0.766 (0.765)	Data 0.001 (0.001)	Loss 2.8809 (2.7537)	Prec@1 28.125 (34.342)	Prec@5 61.719 (64.688)
Epoch: [25][13550/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.8373 (2.7536)	Prec@1 34.375 (34.342)	Prec@5 60.156 (64.688)
Epoch: [25][13560/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.9246 (2.7536)	Prec@1 30.469 (34.344)	Prec@5 60.938 (64.688)
Epoch: [25][13570/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.8038 (2.7536)	Prec@1 28.125 (34.344)	Prec@5 67.969 (64.689)
Epoch: [25][13580/14090]	Time 0.855 (0.765)	Data 0.001 (0.001)	Loss 2.6053 (2.7536)	Prec@1 36.719 (34.344)	Prec@5 65.625 (64.689)
Epoch: [25][13590/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.6832 (2.7537)	Prec@1 39.844 (34.343)	Prec@5 65.625 (64.688)
Epoch: [25][13600/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.8500 (2.7537)	Prec@1 33.594 (34.343)	Prec@5 62.500 (64.688)
Epoch: [25][13610/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.6148 (2.7536)	Prec@1 40.625 (34.343)	Prec@5 71.875 (64.690)
Epoch: [25][13620/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.5322 (2.7535)	Prec@1 30.469 (34.343)	Prec@5 71.875 (64.692)
Epoch: [25][13630/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.9105 (2.7535)	Prec@1 36.719 (34.345)	Prec@5 60.156 (64.693)
Epoch: [25][13640/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.8109 (2.7534)	Prec@1 36.719 (34.345)	Prec@5 55.469 (64.692)
Epoch: [25][13650/14090]	Time 0.835 (0.765)	Data 0.001 (0.001)	Loss 2.7632 (2.7534)	Prec@1 39.062 (34.347)	Prec@5 67.969 (64.692)
Epoch: [25][13660/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.8965 (2.7535)	Prec@1 28.906 (34.347)	Prec@5 66.406 (64.692)
Epoch: [25][13670/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.8245 (2.7535)	Prec@1 31.250 (34.345)	Prec@5 64.062 (64.692)
Epoch: [25][13680/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.8403 (2.7535)	Prec@1 32.031 (34.346)	Prec@5 63.281 (64.693)
Epoch: [25][13690/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.5518 (2.7535)	Prec@1 43.750 (34.345)	Prec@5 70.312 (64.693)
Epoch: [25][13700/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.7024 (2.7534)	Prec@1 31.250 (34.345)	Prec@5 67.188 (64.694)
Epoch: [25][13710/14090]	Time 0.780 (0.765)	Data 0.001 (0.001)	Loss 2.4678 (2.7535)	Prec@1 42.188 (34.345)	Prec@5 73.438 (64.694)
Epoch: [25][13720/14090]	Time 0.889 (0.765)	Data 0.001 (0.001)	Loss 2.9821 (2.7534)	Prec@1 31.250 (34.346)	Prec@5 59.375 (64.693)
Epoch: [25][13730/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 3.0204 (2.7535)	Prec@1 32.812 (34.345)	Prec@5 59.375 (64.691)
Epoch: [25][13740/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.6362 (2.7535)	Prec@1 29.688 (34.345)	Prec@5 67.969 (64.691)
Epoch: [25][13750/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.8860 (2.7536)	Prec@1 32.812 (34.344)	Prec@5 57.812 (64.690)
Epoch: [25][13760/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.4820 (2.7535)	Prec@1 39.844 (34.347)	Prec@5 68.750 (64.693)
Epoch: [25][13770/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.5579 (2.7534)	Prec@1 39.062 (34.348)	Prec@5 68.750 (64.693)
Epoch: [25][13780/14090]	Time 0.773 (0.765)	Data 0.001 (0.001)	Loss 2.8943 (2.7534)	Prec@1 32.812 (34.348)	Prec@5 61.719 (64.693)
Epoch: [25][13790/14090]	Time 0.872 (0.765)	Data 0.001 (0.001)	Loss 2.6539 (2.7534)	Prec@1 40.625 (34.347)	Prec@5 67.188 (64.692)
Epoch: [25][13800/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.5737 (2.7534)	Prec@1 37.500 (34.347)	Prec@5 67.969 (64.692)
Epoch: [25][13810/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.8542 (2.7534)	Prec@1 27.344 (34.346)	Prec@5 66.406 (64.692)
Epoch: [25][13820/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.6400 (2.7534)	Prec@1 36.719 (34.348)	Prec@5 67.188 (64.693)
Epoch: [25][13830/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.8844 (2.7534)	Prec@1 33.594 (34.349)	Prec@5 64.844 (64.693)
Epoch: [25][13840/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.5258 (2.7533)	Prec@1 32.812 (34.349)	Prec@5 68.750 (64.694)
Epoch: [25][13850/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.7820 (2.7534)	Prec@1 36.719 (34.348)	Prec@5 61.719 (64.693)
Epoch: [25][13860/14090]	Time 0.842 (0.765)	Data 0.001 (0.001)	Loss 2.7327 (2.7533)	Prec@1 33.594 (34.348)	Prec@5 67.969 (64.695)
Epoch: [25][13870/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.6659 (2.7533)	Prec@1 32.812 (34.347)	Prec@5 67.188 (64.696)
Epoch: [25][13880/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.8222 (2.7532)	Prec@1 33.594 (34.349)	Prec@5 64.062 (64.698)
Epoch: [25][13890/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 2.7015 (2.7532)	Prec@1 35.156 (34.349)	Prec@5 64.062 (64.698)
Epoch: [25][13900/14090]	Time 0.753 (0.765)	Data 0.005 (0.001)	Loss 2.8630 (2.7533)	Prec@1 34.375 (34.348)	Prec@5 64.844 (64.697)
Epoch: [25][13910/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.4352 (2.7533)	Prec@1 40.625 (34.349)	Prec@5 70.312 (64.697)
Epoch: [25][13920/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.9613 (2.7533)	Prec@1 26.562 (34.348)	Prec@5 58.594 (64.696)
Epoch: [25][13930/14090]	Time 0.837 (0.765)	Data 0.001 (0.001)	Loss 2.7835 (2.7534)	Prec@1 32.812 (34.347)	Prec@5 67.188 (64.695)
Epoch: [25][13940/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.8677 (2.7533)	Prec@1 34.375 (34.348)	Prec@5 64.844 (64.697)
Epoch: [25][13950/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.7755 (2.7534)	Prec@1 33.594 (34.347)	Prec@5 65.625 (64.696)
Epoch: [25][13960/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 2.7182 (2.7534)	Prec@1 35.156 (34.345)	Prec@5 65.625 (64.695)
Epoch: [25][13970/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.7099 (2.7534)	Prec@1 39.844 (34.345)	Prec@5 64.844 (64.695)
Epoch: [25][13980/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.7917 (2.7534)	Prec@1 33.594 (34.346)	Prec@5 71.094 (64.696)
Epoch: [25][13990/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.6599 (2.7534)	Prec@1 29.688 (34.348)	Prec@5 67.188 (64.697)
Epoch: [25][14000/14090]	Time 0.837 (0.765)	Data 0.001 (0.001)	Loss 2.6961 (2.7534)	Prec@1 39.844 (34.349)	Prec@5 64.844 (64.697)
Epoch: [25][14010/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 2.9704 (2.7534)	Prec@1 31.250 (34.348)	Prec@5 57.031 (64.695)
Epoch: [25][14020/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.9372 (2.7534)	Prec@1 29.688 (34.347)	Prec@5 64.844 (64.695)
Epoch: [25][14030/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 3.0781 (2.7535)	Prec@1 28.125 (34.345)	Prec@5 57.812 (64.694)
Epoch: [25][14040/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.6699 (2.7534)	Prec@1 35.938 (34.348)	Prec@5 70.312 (64.696)
Epoch: [25][14050/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.6849 (2.7534)	Prec@1 32.812 (34.348)	Prec@5 67.969 (64.696)
Epoch: [25][14060/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.7653 (2.7535)	Prec@1 36.719 (34.348)	Prec@5 64.844 (64.695)
Epoch: [25][14070/14090]	Time 0.883 (0.765)	Data 0.001 (0.001)	Loss 2.5872 (2.7535)	Prec@1 35.156 (34.347)	Prec@5 70.312 (64.694)
Epoch: [25][14080/14090]	Time 0.752 (0.765)	Data 0.000 (0.001)	Loss 2.6192 (2.7535)	Prec@1 36.719 (34.347)	Prec@5 71.094 (64.696)
Test: [0/286]	Time 3.752 (3.752)	Loss 2.1512 (2.1512)	Prec@1 32.812 (32.812)	Prec@5 85.156 (85.156)
Test: [10/286]	Time 0.395 (0.646)	Loss 2.7308 (2.4413)	Prec@1 28.125 (37.500)	Prec@5 75.000 (75.000)
Test: [20/286]	Time 0.240 (0.489)	Loss 2.3543 (2.4129)	Prec@1 40.625 (40.476)	Prec@5 80.469 (74.479)
Test: [30/286]	Time 0.243 (0.433)	Loss 2.6904 (2.3220)	Prec@1 28.125 (43.044)	Prec@5 65.625 (75.025)
Test: [40/286]	Time 0.833 (0.414)	Loss 2.6027 (2.3630)	Prec@1 35.938 (41.463)	Prec@5 72.656 (74.162)
Test: [50/286]	Time 0.248 (0.395)	Loss 1.3435 (2.3663)	Prec@1 71.094 (41.483)	Prec@5 82.812 (74.020)
Test: [60/286]	Time 0.390 (0.384)	Loss 3.6281 (2.3962)	Prec@1 17.188 (41.137)	Prec@5 48.438 (72.746)
Test: [70/286]	Time 0.228 (0.372)	Loss 1.4305 (2.3826)	Prec@1 63.281 (41.175)	Prec@5 87.500 (72.788)
Test: [80/286]	Time 0.260 (0.373)	Loss 3.4214 (2.4345)	Prec@1 20.312 (40.037)	Prec@5 53.125 (71.615)
Test: [90/286]	Time 0.237 (0.365)	Loss 2.9750 (2.4505)	Prec@1 34.375 (39.638)	Prec@5 56.250 (71.274)
Test: [100/286]	Time 0.228 (0.361)	Loss 3.6060 (2.4781)	Prec@1 15.625 (38.962)	Prec@5 45.312 (70.924)
Test: [110/286]	Time 0.343 (0.359)	Loss 2.4553 (2.4847)	Prec@1 41.406 (38.887)	Prec@5 67.969 (70.861)
Test: [120/286]	Time 0.242 (0.358)	Loss 3.2734 (2.4467)	Prec@1 28.906 (39.837)	Prec@5 53.125 (71.546)
Test: [130/286]	Time 0.228 (0.356)	Loss 1.7021 (2.4341)	Prec@1 54.688 (40.058)	Prec@5 88.281 (71.935)
Test: [140/286]	Time 0.296 (0.357)	Loss 3.0385 (2.4405)	Prec@1 36.719 (40.038)	Prec@5 63.281 (71.936)
Test: [150/286]	Time 0.266 (0.354)	Loss 2.4677 (2.4479)	Prec@1 34.375 (39.694)	Prec@5 72.656 (71.958)
Test: [160/286]	Time 0.236 (0.352)	Loss 2.8644 (2.4498)	Prec@1 27.344 (39.562)	Prec@5 67.188 (72.030)
Test: [170/286]	Time 1.302 (0.356)	Loss 2.1483 (2.4330)	Prec@1 44.531 (39.807)	Prec@5 78.906 (72.405)
Test: [180/286]	Time 0.364 (0.353)	Loss 2.3843 (2.4406)	Prec@1 48.438 (39.516)	Prec@5 72.656 (72.371)
Test: [190/286]	Time 0.287 (0.352)	Loss 3.3574 (2.4584)	Prec@1 16.406 (38.936)	Prec@5 57.812 (72.133)
Test: [200/286]	Time 0.231 (0.350)	Loss 2.1290 (2.4459)	Prec@1 54.688 (39.292)	Prec@5 82.812 (72.260)
Test: [210/286]	Time 0.580 (0.350)	Loss 2.2109 (2.4555)	Prec@1 43.750 (39.118)	Prec@5 80.469 (72.038)
Test: [220/286]	Time 0.259 (0.351)	Loss 3.6526 (2.4703)	Prec@1 15.625 (38.988)	Prec@5 45.312 (71.719)
Test: [230/286]	Time 0.244 (0.349)	Loss 1.4682 (2.4731)	Prec@1 64.844 (39.127)	Prec@5 85.156 (71.560)
Test: [240/286]	Time 0.225 (0.347)	Loss 2.0961 (2.4646)	Prec@1 49.219 (39.468)	Prec@5 82.812 (71.719)
Test: [250/286]	Time 0.453 (0.348)	Loss 2.2689 (2.4517)	Prec@1 42.969 (39.592)	Prec@5 70.312 (72.046)
Test: [260/286]	Time 0.227 (0.348)	Loss 2.4020 (2.4359)	Prec@1 38.281 (39.940)	Prec@5 71.094 (72.354)
Test: [270/286]	Time 0.230 (0.347)	Loss 1.3661 (2.4239)	Prec@1 65.625 (40.095)	Prec@5 87.500 (72.576)
Test: [280/286]	Time 0.256 (0.346)	Loss 2.1959 (2.4051)	Prec@1 46.875 (40.542)	Prec@5 80.469 (72.815)
 * Prec@1 40.634 Prec@5 72.836
Epoch: [26][0/14090]	Time 5.017 (5.017)	Data 4.213 (4.213)	Loss 2.7050 (2.7050)	Prec@1 29.688 (29.688)	Prec@5 64.844 (64.844)
Epoch: [26][10/14090]	Time 0.737 (1.125)	Data 0.001 (0.384)	Loss 2.3780 (2.7461)	Prec@1 41.406 (34.872)	Prec@5 70.312 (65.909)
Epoch: [26][20/14090]	Time 0.722 (0.944)	Data 0.002 (0.202)	Loss 2.5602 (2.7500)	Prec@1 41.406 (34.821)	Prec@5 71.875 (65.625)
Epoch: [26][30/14090]	Time 0.731 (0.877)	Data 0.001 (0.137)	Loss 2.5898 (2.7411)	Prec@1 31.250 (34.501)	Prec@5 66.406 (65.247)
Epoch: [26][40/14090]	Time 0.785 (0.847)	Data 0.001 (0.104)	Loss 2.7554 (2.7380)	Prec@1 32.031 (34.261)	Prec@5 62.500 (65.358)
Epoch: [26][50/14090]	Time 0.746 (0.832)	Data 0.001 (0.084)	Loss 2.5967 (2.7378)	Prec@1 29.688 (33.992)	Prec@5 66.406 (65.227)
Epoch: [26][60/14090]	Time 0.737 (0.819)	Data 0.001 (0.070)	Loss 2.9234 (2.7476)	Prec@1 35.938 (34.144)	Prec@5 63.281 (65.151)
Epoch: [26][70/14090]	Time 0.743 (0.811)	Data 0.001 (0.060)	Loss 2.6640 (2.7426)	Prec@1 35.938 (34.177)	Prec@5 67.188 (65.394)
Epoch: [26][80/14090]	Time 0.767 (0.805)	Data 0.001 (0.053)	Loss 2.5264 (2.7396)	Prec@1 46.094 (34.269)	Prec@5 67.969 (65.422)
Epoch: [26][90/14090]	Time 0.753 (0.800)	Data 0.001 (0.047)	Loss 2.7919 (2.7497)	Prec@1 31.250 (34.117)	Prec@5 67.969 (65.127)
Epoch: [26][100/14090]	Time 0.747 (0.795)	Data 0.001 (0.043)	Loss 2.4102 (2.7486)	Prec@1 42.969 (34.259)	Prec@5 71.094 (65.192)
Epoch: [26][110/14090]	Time 0.936 (0.794)	Data 0.001 (0.039)	Loss 3.0725 (2.7469)	Prec@1 27.344 (34.276)	Prec@5 59.375 (65.153)
Epoch: [26][120/14090]	Time 0.748 (0.791)	Data 0.001 (0.036)	Loss 2.7221 (2.7429)	Prec@1 35.156 (34.278)	Prec@5 64.844 (65.102)
Epoch: [26][130/14090]	Time 0.765 (0.789)	Data 0.001 (0.033)	Loss 2.7344 (2.7371)	Prec@1 36.719 (34.339)	Prec@5 63.281 (65.261)
Epoch: [26][140/14090]	Time 0.733 (0.787)	Data 0.001 (0.031)	Loss 2.7995 (2.7369)	Prec@1 32.031 (34.397)	Prec@5 65.625 (65.237)
Epoch: [26][150/14090]	Time 0.761 (0.785)	Data 0.001 (0.029)	Loss 2.6088 (2.7403)	Prec@1 37.500 (34.349)	Prec@5 68.750 (65.196)
Epoch: [26][160/14090]	Time 0.732 (0.783)	Data 0.001 (0.027)	Loss 2.7335 (2.7328)	Prec@1 33.594 (34.380)	Prec@5 70.312 (65.314)
Epoch: [26][170/14090]	Time 0.744 (0.782)	Data 0.001 (0.025)	Loss 2.6994 (2.7377)	Prec@1 36.719 (34.306)	Prec@5 71.875 (65.191)
Epoch: [26][180/14090]	Time 0.827 (0.781)	Data 0.001 (0.024)	Loss 2.7597 (2.7374)	Prec@1 33.594 (34.336)	Prec@5 65.625 (65.189)
Epoch: [26][190/14090]	Time 0.759 (0.780)	Data 0.001 (0.023)	Loss 3.1536 (2.7429)	Prec@1 27.344 (34.260)	Prec@5 57.812 (65.040)
Epoch: [26][200/14090]	Time 0.790 (0.779)	Data 0.001 (0.022)	Loss 2.7212 (2.7459)	Prec@1 38.281 (34.212)	Prec@5 64.062 (65.003)
Epoch: [26][210/14090]	Time 0.746 (0.779)	Data 0.001 (0.021)	Loss 2.7577 (2.7433)	Prec@1 32.031 (34.268)	Prec@5 64.844 (65.073)
Epoch: [26][220/14090]	Time 0.747 (0.778)	Data 0.001 (0.020)	Loss 2.9658 (2.7441)	Prec@1 33.594 (34.315)	Prec@5 57.031 (65.056)
Epoch: [26][230/14090]	Time 0.758 (0.777)	Data 0.001 (0.019)	Loss 2.6923 (2.7407)	Prec@1 38.281 (34.378)	Prec@5 60.938 (65.084)
Epoch: [26][240/14090]	Time 0.764 (0.776)	Data 0.001 (0.018)	Loss 2.7868 (2.7404)	Prec@1 34.375 (34.388)	Prec@5 62.500 (65.045)
Epoch: [26][250/14090]	Time 0.831 (0.776)	Data 0.001 (0.018)	Loss 2.9086 (2.7427)	Prec@1 30.469 (34.341)	Prec@5 59.375 (65.065)
Epoch: [26][260/14090]	Time 0.766 (0.776)	Data 0.002 (0.017)	Loss 2.9256 (2.7399)	Prec@1 34.375 (34.357)	Prec@5 60.938 (65.104)
Epoch: [26][270/14090]	Time 0.748 (0.775)	Data 0.001 (0.016)	Loss 2.7718 (2.7415)	Prec@1 34.375 (34.372)	Prec@5 66.406 (65.071)
Epoch: [26][280/14090]	Time 0.758 (0.775)	Data 0.001 (0.016)	Loss 2.8420 (2.7419)	Prec@1 32.812 (34.400)	Prec@5 63.281 (65.091)
Epoch: [26][290/14090]	Time 0.750 (0.775)	Data 0.001 (0.015)	Loss 2.6265 (2.7419)	Prec@1 34.375 (34.380)	Prec@5 66.406 (65.104)
Epoch: [26][300/14090]	Time 0.749 (0.775)	Data 0.001 (0.015)	Loss 2.8404 (2.7412)	Prec@1 33.594 (34.375)	Prec@5 66.406 (65.150)
Epoch: [26][310/14090]	Time 0.737 (0.774)	Data 0.003 (0.014)	Loss 2.4514 (2.7383)	Prec@1 41.406 (34.423)	Prec@5 71.094 (65.198)
Epoch: [26][320/14090]	Time 0.968 (0.774)	Data 0.001 (0.014)	Loss 2.9067 (2.7341)	Prec@1 34.375 (34.567)	Prec@5 61.719 (65.245)
Epoch: [26][330/14090]	Time 0.743 (0.774)	Data 0.001 (0.014)	Loss 2.9258 (2.7352)	Prec@1 32.812 (34.554)	Prec@5 57.031 (65.212)
Epoch: [26][340/14090]	Time 0.753 (0.773)	Data 0.001 (0.013)	Loss 2.7862 (2.7356)	Prec@1 38.281 (34.620)	Prec@5 64.844 (65.217)
Epoch: [26][350/14090]	Time 0.742 (0.773)	Data 0.001 (0.013)	Loss 2.6743 (2.7348)	Prec@1 33.594 (34.622)	Prec@5 69.531 (65.235)
Epoch: [26][360/14090]	Time 0.765 (0.773)	Data 0.001 (0.013)	Loss 2.9502 (2.7355)	Prec@1 33.594 (34.583)	Prec@5 61.719 (65.240)
Epoch: [26][370/14090]	Time 0.756 (0.773)	Data 0.002 (0.012)	Loss 2.4524 (2.7351)	Prec@1 40.625 (34.567)	Prec@5 69.531 (65.225)
Epoch: [26][380/14090]	Time 0.752 (0.773)	Data 0.001 (0.012)	Loss 2.4064 (2.7357)	Prec@1 37.500 (34.537)	Prec@5 73.438 (65.211)
Epoch: [26][390/14090]	Time 0.798 (0.772)	Data 0.001 (0.012)	Loss 2.8308 (2.7342)	Prec@1 32.031 (34.577)	Prec@5 62.500 (65.235)
Epoch: [26][400/14090]	Time 0.726 (0.772)	Data 0.001 (0.011)	Loss 2.6572 (2.7347)	Prec@1 35.938 (34.558)	Prec@5 67.188 (65.233)
Epoch: [26][410/14090]	Time 0.747 (0.771)	Data 0.001 (0.011)	Loss 2.9776 (2.7366)	Prec@1 35.156 (34.516)	Prec@5 60.938 (65.194)
Epoch: [26][420/14090]	Time 0.752 (0.771)	Data 0.001 (0.011)	Loss 2.6717 (2.7381)	Prec@1 42.188 (34.510)	Prec@5 65.625 (65.172)
Epoch: [26][430/14090]	Time 0.744 (0.771)	Data 0.001 (0.011)	Loss 2.7743 (2.7393)	Prec@1 36.719 (34.515)	Prec@5 64.062 (65.185)
Epoch: [26][440/14090]	Time 0.757 (0.771)	Data 0.001 (0.010)	Loss 2.6532 (2.7399)	Prec@1 37.500 (34.508)	Prec@5 68.750 (65.166)
Epoch: [26][450/14090]	Time 0.742 (0.770)	Data 0.001 (0.010)	Loss 2.5819 (2.7375)	Prec@1 34.375 (34.543)	Prec@5 66.406 (65.190)
Epoch: [26][460/14090]	Time 0.784 (0.770)	Data 0.001 (0.010)	Loss 2.6928 (2.7387)	Prec@1 32.031 (34.521)	Prec@5 65.625 (65.159)
Epoch: [26][470/14090]	Time 0.740 (0.770)	Data 0.001 (0.010)	Loss 2.7485 (2.7393)	Prec@1 32.031 (34.518)	Prec@5 63.281 (65.162)
Epoch: [26][480/14090]	Time 0.756 (0.770)	Data 0.001 (0.010)	Loss 2.7940 (2.7380)	Prec@1 32.812 (34.529)	Prec@5 61.719 (65.180)
Epoch: [26][490/14090]	Time 0.760 (0.770)	Data 0.001 (0.009)	Loss 2.8340 (2.7374)	Prec@1 33.594 (34.555)	Prec@5 60.156 (65.187)
Epoch: [26][500/14090]	Time 0.787 (0.770)	Data 0.001 (0.009)	Loss 2.7142 (2.7367)	Prec@1 33.594 (34.600)	Prec@5 61.719 (65.195)
Epoch: [26][510/14090]	Time 0.761 (0.770)	Data 0.001 (0.009)	Loss 2.6836 (2.7377)	Prec@1 33.594 (34.562)	Prec@5 61.719 (65.172)
Epoch: [26][520/14090]	Time 0.743 (0.769)	Data 0.001 (0.009)	Loss 2.6848 (2.7369)	Prec@1 34.375 (34.577)	Prec@5 68.750 (65.208)
Epoch: [26][530/14090]	Time 0.796 (0.769)	Data 0.001 (0.009)	Loss 2.7699 (2.7380)	Prec@1 32.031 (34.529)	Prec@5 60.156 (65.179)
Epoch: [26][540/14090]	Time 0.755 (0.769)	Data 0.001 (0.009)	Loss 2.7283 (2.7381)	Prec@1 35.156 (34.517)	Prec@5 65.625 (65.167)
Epoch: [26][550/14090]	Time 0.748 (0.768)	Data 0.001 (0.009)	Loss 3.0586 (2.7397)	Prec@1 22.656 (34.488)	Prec@5 60.938 (65.100)
Epoch: [26][560/14090]	Time 0.775 (0.768)	Data 0.001 (0.008)	Loss 2.7048 (2.7395)	Prec@1 36.719 (34.518)	Prec@5 68.750 (65.087)
Epoch: [26][570/14090]	Time 0.740 (0.768)	Data 0.001 (0.008)	Loss 2.8020 (2.7389)	Prec@1 28.125 (34.526)	Prec@5 64.062 (65.075)
Epoch: [26][580/14090]	Time 0.749 (0.768)	Data 0.001 (0.008)	Loss 3.0693 (2.7391)	Prec@1 28.906 (34.512)	Prec@5 57.031 (65.060)
Epoch: [26][590/14090]	Time 0.752 (0.768)	Data 0.001 (0.008)	Loss 2.6366 (2.7386)	Prec@1 33.594 (34.514)	Prec@5 68.750 (65.083)
Epoch: [26][600/14090]	Time 0.785 (0.768)	Data 0.001 (0.008)	Loss 2.8020 (2.7411)	Prec@1 30.469 (34.459)	Prec@5 67.188 (65.049)
Epoch: [26][610/14090]	Time 0.749 (0.768)	Data 0.001 (0.008)	Loss 2.4920 (2.7413)	Prec@1 40.625 (34.468)	Prec@5 71.875 (65.060)
Epoch: [26][620/14090]	Time 0.722 (0.768)	Data 0.001 (0.008)	Loss 2.6922 (2.7417)	Prec@1 34.375 (34.468)	Prec@5 64.062 (65.046)
Epoch: [26][630/14090]	Time 0.776 (0.768)	Data 0.001 (0.008)	Loss 2.6822 (2.7424)	Prec@1 34.375 (34.451)	Prec@5 64.844 (65.043)
Epoch: [26][640/14090]	Time 0.760 (0.767)	Data 0.001 (0.007)	Loss 2.7585 (2.7428)	Prec@1 35.938 (34.440)	Prec@5 65.625 (65.013)
Epoch: [26][650/14090]	Time 0.749 (0.767)	Data 0.001 (0.007)	Loss 3.0946 (2.7423)	Prec@1 31.250 (34.460)	Prec@5 58.594 (65.030)
Epoch: [26][660/14090]	Time 0.783 (0.767)	Data 0.001 (0.007)	Loss 2.5652 (2.7428)	Prec@1 34.375 (34.462)	Prec@5 67.188 (65.025)
Epoch: [26][670/14090]	Time 0.781 (0.767)	Data 0.001 (0.007)	Loss 2.6207 (2.7427)	Prec@1 34.375 (34.459)	Prec@5 64.062 (65.051)
Epoch: [26][680/14090]	Time 0.746 (0.767)	Data 0.001 (0.007)	Loss 2.7701 (2.7440)	Prec@1 32.812 (34.436)	Prec@5 58.594 (65.004)
Epoch: [26][690/14090]	Time 0.760 (0.767)	Data 0.001 (0.007)	Loss 2.7396 (2.7450)	Prec@1 32.812 (34.409)	Prec@5 66.406 (64.972)
Epoch: [26][700/14090]	Time 0.767 (0.767)	Data 0.001 (0.007)	Loss 2.8973 (2.7452)	Prec@1 35.156 (34.406)	Prec@5 60.156 (64.976)
Epoch: [26][710/14090]	Time 0.750 (0.767)	Data 0.001 (0.007)	Loss 2.6818 (2.7439)	Prec@1 39.062 (34.424)	Prec@5 66.406 (64.987)
Epoch: [26][720/14090]	Time 0.739 (0.767)	Data 0.001 (0.007)	Loss 2.6217 (2.7429)	Prec@1 31.250 (34.421)	Prec@5 64.062 (65.003)
Epoch: [26][730/14090]	Time 0.749 (0.767)	Data 0.001 (0.007)	Loss 2.7136 (2.7433)	Prec@1 35.938 (34.416)	Prec@5 67.188 (64.999)
Epoch: [26][740/14090]	Time 0.946 (0.767)	Data 0.001 (0.007)	Loss 2.7500 (2.7436)	Prec@1 35.938 (34.399)	Prec@5 62.500 (64.982)
Epoch: [26][750/14090]	Time 0.731 (0.767)	Data 0.001 (0.006)	Loss 2.7749 (2.7438)	Prec@1 34.375 (34.421)	Prec@5 66.406 (64.959)
Epoch: [26][760/14090]	Time 0.736 (0.767)	Data 0.001 (0.006)	Loss 2.7865 (2.7438)	Prec@1 28.125 (34.398)	Prec@5 61.719 (64.964)
Epoch: [26][770/14090]	Time 0.760 (0.767)	Data 0.001 (0.006)	Loss 2.6355 (2.7446)	Prec@1 35.156 (34.379)	Prec@5 64.844 (64.951)
Epoch: [26][780/14090]	Time 0.736 (0.767)	Data 0.001 (0.006)	Loss 2.7217 (2.7447)	Prec@1 38.281 (34.390)	Prec@5 60.156 (64.964)
Epoch: [26][790/14090]	Time 0.761 (0.766)	Data 0.001 (0.006)	Loss 3.0128 (2.7441)	Prec@1 30.469 (34.377)	Prec@5 62.500 (64.975)
Epoch: [26][800/14090]	Time 0.737 (0.766)	Data 0.001 (0.006)	Loss 2.5060 (2.7429)	Prec@1 42.188 (34.399)	Prec@5 71.094 (64.988)
Epoch: [26][810/14090]	Time 0.878 (0.766)	Data 0.001 (0.006)	Loss 2.6420 (2.7421)	Prec@1 35.938 (34.405)	Prec@5 69.531 (65.016)
Epoch: [26][820/14090]	Time 0.770 (0.766)	Data 0.001 (0.006)	Loss 2.8139 (2.7429)	Prec@1 37.500 (34.407)	Prec@5 64.062 (64.989)
Epoch: [26][830/14090]	Time 0.760 (0.766)	Data 0.001 (0.006)	Loss 2.6448 (2.7434)	Prec@1 39.062 (34.404)	Prec@5 67.969 (64.967)
Epoch: [26][840/14090]	Time 0.756 (0.767)	Data 0.001 (0.006)	Loss 3.0478 (2.7444)	Prec@1 32.812 (34.382)	Prec@5 64.844 (64.961)
Epoch: [26][850/14090]	Time 0.743 (0.766)	Data 0.001 (0.006)	Loss 2.9812 (2.7455)	Prec@1 26.562 (34.358)	Prec@5 63.281 (64.930)
Epoch: [26][860/14090]	Time 0.736 (0.766)	Data 0.001 (0.006)	Loss 2.7132 (2.7452)	Prec@1 33.594 (34.377)	Prec@5 66.406 (64.929)
Epoch: [26][870/14090]	Time 0.743 (0.766)	Data 0.001 (0.006)	Loss 2.6979 (2.7450)	Prec@1 32.812 (34.378)	Prec@5 63.281 (64.923)
Epoch: [26][880/14090]	Time 0.812 (0.766)	Data 0.001 (0.006)	Loss 2.7362 (2.7448)	Prec@1 41.406 (34.399)	Prec@5 64.844 (64.932)
Epoch: [26][890/14090]	Time 0.736 (0.766)	Data 0.001 (0.006)	Loss 2.9938 (2.7442)	Prec@1 31.250 (34.424)	Prec@5 62.500 (64.947)
Epoch: [26][900/14090]	Time 0.746 (0.766)	Data 0.001 (0.006)	Loss 2.5966 (2.7433)	Prec@1 39.844 (34.446)	Prec@5 66.406 (64.972)
Epoch: [26][910/14090]	Time 0.768 (0.766)	Data 0.001 (0.005)	Loss 2.7085 (2.7428)	Prec@1 33.594 (34.449)	Prec@5 64.062 (64.973)
Epoch: [26][920/14090]	Time 0.718 (0.766)	Data 0.001 (0.005)	Loss 2.6637 (2.7420)	Prec@1 39.062 (34.473)	Prec@5 65.625 (64.985)
Epoch: [26][930/14090]	Time 0.748 (0.766)	Data 0.001 (0.005)	Loss 2.6796 (2.7416)	Prec@1 34.375 (34.466)	Prec@5 62.500 (64.981)
Epoch: [26][940/14090]	Time 0.729 (0.766)	Data 0.001 (0.005)	Loss 2.7608 (2.7412)	Prec@1 34.375 (34.463)	Prec@5 69.531 (64.985)
Epoch: [26][950/14090]	Time 0.795 (0.766)	Data 0.001 (0.005)	Loss 2.7741 (2.7423)	Prec@1 32.812 (34.451)	Prec@5 64.844 (64.963)
Epoch: [26][960/14090]	Time 0.749 (0.765)	Data 0.001 (0.005)	Loss 2.6816 (2.7424)	Prec@1 37.500 (34.461)	Prec@5 65.625 (64.957)
Epoch: [26][970/14090]	Time 0.753 (0.766)	Data 0.001 (0.005)	Loss 2.7829 (2.7426)	Prec@1 41.406 (34.480)	Prec@5 64.844 (64.954)
Epoch: [26][980/14090]	Time 0.746 (0.765)	Data 0.001 (0.005)	Loss 2.8668 (2.7435)	Prec@1 28.906 (34.475)	Prec@5 60.156 (64.944)
Epoch: [26][990/14090]	Time 0.758 (0.765)	Data 0.001 (0.005)	Loss 2.7107 (2.7437)	Prec@1 39.062 (34.485)	Prec@5 67.188 (64.948)
Epoch: [26][1000/14090]	Time 0.738 (0.765)	Data 0.000 (0.005)	Loss 2.9731 (2.7438)	Prec@1 29.688 (34.479)	Prec@5 63.281 (64.958)
Epoch: [26][1010/14090]	Time 0.753 (0.765)	Data 0.001 (0.005)	Loss 3.0666 (2.7445)	Prec@1 28.906 (34.490)	Prec@5 60.156 (64.953)
Epoch: [26][1020/14090]	Time 0.986 (0.766)	Data 0.001 (0.005)	Loss 2.9995 (2.7450)	Prec@1 28.906 (34.490)	Prec@5 61.719 (64.953)
Epoch: [26][1030/14090]	Time 0.735 (0.765)	Data 0.001 (0.005)	Loss 2.6106 (2.7442)	Prec@1 38.281 (34.505)	Prec@5 68.750 (64.962)
Epoch: [26][1040/14090]	Time 0.763 (0.765)	Data 0.001 (0.005)	Loss 2.5410 (2.7441)	Prec@1 30.469 (34.494)	Prec@5 67.188 (64.962)
Epoch: [26][1050/14090]	Time 0.729 (0.765)	Data 0.001 (0.005)	Loss 2.9610 (2.7441)	Prec@1 29.688 (34.487)	Prec@5 61.719 (64.952)
Epoch: [26][1060/14090]	Time 0.759 (0.765)	Data 0.001 (0.005)	Loss 2.9148 (2.7439)	Prec@1 32.031 (34.484)	Prec@5 61.719 (64.965)
Epoch: [26][1070/14090]	Time 0.759 (0.765)	Data 0.001 (0.005)	Loss 2.9487 (2.7447)	Prec@1 32.031 (34.463)	Prec@5 59.375 (64.941)
Epoch: [26][1080/14090]	Time 0.742 (0.765)	Data 0.001 (0.005)	Loss 2.4078 (2.7446)	Prec@1 43.750 (34.456)	Prec@5 70.312 (64.954)
Epoch: [26][1090/14090]	Time 0.852 (0.765)	Data 0.001 (0.005)	Loss 2.7367 (2.7444)	Prec@1 38.281 (34.452)	Prec@5 67.188 (64.963)
Epoch: [26][1100/14090]	Time 0.748 (0.765)	Data 0.001 (0.005)	Loss 2.9030 (2.7439)	Prec@1 29.688 (34.440)	Prec@5 64.062 (64.976)
Epoch: [26][1110/14090]	Time 0.743 (0.765)	Data 0.001 (0.005)	Loss 2.6150 (2.7442)	Prec@1 35.156 (34.430)	Prec@5 65.625 (64.974)
Epoch: [26][1120/14090]	Time 0.770 (0.765)	Data 0.001 (0.005)	Loss 2.6512 (2.7441)	Prec@1 36.719 (34.422)	Prec@5 66.406 (64.974)
Epoch: [26][1130/14090]	Time 0.757 (0.765)	Data 0.001 (0.005)	Loss 2.6401 (2.7433)	Prec@1 38.281 (34.445)	Prec@5 66.406 (64.986)
Epoch: [26][1140/14090]	Time 0.753 (0.765)	Data 0.001 (0.005)	Loss 2.6169 (2.7432)	Prec@1 35.938 (34.450)	Prec@5 64.844 (65.004)
Epoch: [26][1150/14090]	Time 0.742 (0.765)	Data 0.001 (0.005)	Loss 2.7888 (2.7426)	Prec@1 32.031 (34.457)	Prec@5 67.969 (65.022)
Epoch: [26][1160/14090]	Time 0.914 (0.765)	Data 0.001 (0.004)	Loss 2.7561 (2.7428)	Prec@1 36.719 (34.466)	Prec@5 70.312 (65.023)
Epoch: [26][1170/14090]	Time 0.772 (0.765)	Data 0.001 (0.004)	Loss 2.6471 (2.7431)	Prec@1 34.375 (34.461)	Prec@5 70.312 (65.026)
Epoch: [26][1180/14090]	Time 0.752 (0.765)	Data 0.001 (0.004)	Loss 2.9068 (2.7430)	Prec@1 28.125 (34.474)	Prec@5 61.719 (65.019)
Epoch: [26][1190/14090]	Time 0.753 (0.765)	Data 0.001 (0.004)	Loss 2.9848 (2.7427)	Prec@1 23.438 (34.477)	Prec@5 60.938 (65.025)
Epoch: [26][1200/14090]	Time 0.768 (0.765)	Data 0.001 (0.004)	Loss 2.5245 (2.7426)	Prec@1 35.938 (34.480)	Prec@5 66.406 (65.019)
Epoch: [26][1210/14090]	Time 0.749 (0.765)	Data 0.001 (0.004)	Loss 2.8449 (2.7435)	Prec@1 36.719 (34.466)	Prec@5 59.375 (65.006)
Epoch: [26][1220/14090]	Time 0.748 (0.765)	Data 0.001 (0.004)	Loss 2.6840 (2.7436)	Prec@1 39.062 (34.460)	Prec@5 67.188 (65.003)
Epoch: [26][1230/14090]	Time 0.823 (0.765)	Data 0.001 (0.004)	Loss 2.4757 (2.7432)	Prec@1 37.500 (34.473)	Prec@5 67.188 (65.005)
Epoch: [26][1240/14090]	Time 0.737 (0.765)	Data 0.001 (0.004)	Loss 2.8483 (2.7436)	Prec@1 31.250 (34.473)	Prec@5 64.062 (65.003)
Epoch: [26][1250/14090]	Time 0.732 (0.765)	Data 0.002 (0.004)	Loss 2.8702 (2.7438)	Prec@1 28.906 (34.476)	Prec@5 60.938 (64.986)
Epoch: [26][1260/14090]	Time 0.747 (0.765)	Data 0.001 (0.004)	Loss 2.6393 (2.7437)	Prec@1 34.375 (34.460)	Prec@5 64.062 (64.991)
Epoch: [26][1270/14090]	Time 0.730 (0.765)	Data 0.001 (0.004)	Loss 2.7764 (2.7439)	Prec@1 29.688 (34.453)	Prec@5 65.625 (64.985)
Epoch: [26][1280/14090]	Time 0.781 (0.765)	Data 0.001 (0.004)	Loss 2.5136 (2.7442)	Prec@1 36.719 (34.448)	Prec@5 68.750 (64.969)
Epoch: [26][1290/14090]	Time 0.737 (0.764)	Data 0.001 (0.004)	Loss 2.7747 (2.7442)	Prec@1 30.469 (34.437)	Prec@5 63.281 (64.964)
Epoch: [26][1300/14090]	Time 0.814 (0.765)	Data 0.001 (0.004)	Loss 2.7243 (2.7438)	Prec@1 29.688 (34.433)	Prec@5 60.938 (64.971)
Epoch: [26][1310/14090]	Time 0.747 (0.765)	Data 0.001 (0.004)	Loss 2.9314 (2.7443)	Prec@1 28.906 (34.426)	Prec@5 62.500 (64.959)
Epoch: [26][1320/14090]	Time 0.742 (0.764)	Data 0.001 (0.004)	Loss 2.9124 (2.7449)	Prec@1 30.469 (34.419)	Prec@5 60.938 (64.951)
Epoch: [26][1330/14090]	Time 0.740 (0.764)	Data 0.001 (0.004)	Loss 2.5429 (2.7448)	Prec@1 38.281 (34.424)	Prec@5 69.531 (64.959)
Epoch: [26][1340/14090]	Time 0.722 (0.764)	Data 0.001 (0.004)	Loss 2.6962 (2.7447)	Prec@1 31.250 (34.432)	Prec@5 67.188 (64.961)
Epoch: [26][1350/14090]	Time 0.731 (0.764)	Data 0.001 (0.004)	Loss 2.5721 (2.7444)	Prec@1 37.500 (34.440)	Prec@5 67.188 (64.963)
Epoch: [26][1360/14090]	Time 0.755 (0.764)	Data 0.001 (0.004)	Loss 2.7203 (2.7440)	Prec@1 36.719 (34.454)	Prec@5 65.625 (64.964)
Epoch: [26][1370/14090]	Time 0.834 (0.764)	Data 0.001 (0.004)	Loss 2.7865 (2.7444)	Prec@1 35.938 (34.461)	Prec@5 73.438 (64.967)
Epoch: [26][1380/14090]	Time 0.760 (0.764)	Data 0.001 (0.004)	Loss 2.6496 (2.7440)	Prec@1 32.031 (34.460)	Prec@5 70.312 (64.965)
Epoch: [26][1390/14090]	Time 0.775 (0.764)	Data 0.001 (0.004)	Loss 2.6359 (2.7437)	Prec@1 32.031 (34.473)	Prec@5 66.406 (64.970)
Epoch: [26][1400/14090]	Time 0.760 (0.764)	Data 0.001 (0.004)	Loss 2.8492 (2.7439)	Prec@1 32.031 (34.473)	Prec@5 62.500 (64.963)
Epoch: [26][1410/14090]	Time 0.728 (0.764)	Data 0.001 (0.004)	Loss 3.0090 (2.7445)	Prec@1 33.594 (34.463)	Prec@5 58.594 (64.943)
Epoch: [26][1420/14090]	Time 0.753 (0.764)	Data 0.001 (0.004)	Loss 2.6278 (2.7445)	Prec@1 36.719 (34.457)	Prec@5 69.531 (64.947)
Epoch: [26][1430/14090]	Time 0.769 (0.764)	Data 0.001 (0.004)	Loss 2.9560 (2.7443)	Prec@1 29.688 (34.454)	Prec@5 62.500 (64.947)
Epoch: [26][1440/14090]	Time 0.806 (0.764)	Data 0.001 (0.004)	Loss 2.7823 (2.7444)	Prec@1 33.594 (34.457)	Prec@5 67.188 (64.955)
Epoch: [26][1450/14090]	Time 0.745 (0.764)	Data 0.001 (0.004)	Loss 2.6560 (2.7447)	Prec@1 33.594 (34.462)	Prec@5 67.188 (64.939)
Epoch: [26][1460/14090]	Time 0.741 (0.764)	Data 0.001 (0.004)	Loss 2.6226 (2.7449)	Prec@1 42.188 (34.463)	Prec@5 70.312 (64.941)
Epoch: [26][1470/14090]	Time 0.749 (0.764)	Data 0.001 (0.004)	Loss 2.6858 (2.7454)	Prec@1 32.031 (34.445)	Prec@5 64.062 (64.934)
Epoch: [26][1480/14090]	Time 0.752 (0.764)	Data 0.001 (0.004)	Loss 3.0070 (2.7466)	Prec@1 28.906 (34.427)	Prec@5 61.719 (64.905)
Epoch: [26][1490/14090]	Time 0.764 (0.764)	Data 0.001 (0.004)	Loss 2.7319 (2.7471)	Prec@1 34.375 (34.424)	Prec@5 65.625 (64.896)
Epoch: [26][1500/14090]	Time 0.744 (0.764)	Data 0.001 (0.004)	Loss 3.0457 (2.7473)	Prec@1 26.562 (34.413)	Prec@5 57.812 (64.893)
Epoch: [26][1510/14090]	Time 0.834 (0.764)	Data 0.001 (0.004)	Loss 3.1215 (2.7472)	Prec@1 25.000 (34.413)	Prec@5 57.812 (64.895)
Epoch: [26][1520/14090]	Time 0.735 (0.764)	Data 0.001 (0.004)	Loss 2.5430 (2.7471)	Prec@1 39.844 (34.407)	Prec@5 69.531 (64.904)
Epoch: [26][1530/14090]	Time 0.742 (0.764)	Data 0.001 (0.004)	Loss 2.6531 (2.7471)	Prec@1 34.375 (34.403)	Prec@5 68.750 (64.899)
Epoch: [26][1540/14090]	Time 0.754 (0.764)	Data 0.001 (0.004)	Loss 2.8624 (2.7471)	Prec@1 32.031 (34.394)	Prec@5 60.938 (64.902)
Epoch: [26][1550/14090]	Time 0.759 (0.764)	Data 0.001 (0.004)	Loss 2.8599 (2.7475)	Prec@1 32.812 (34.371)	Prec@5 60.938 (64.886)
Epoch: [26][1560/14090]	Time 0.759 (0.764)	Data 0.001 (0.004)	Loss 2.7666 (2.7477)	Prec@1 28.906 (34.360)	Prec@5 63.281 (64.888)
Epoch: [26][1570/14090]	Time 0.779 (0.764)	Data 0.001 (0.004)	Loss 2.7532 (2.7472)	Prec@1 39.062 (34.375)	Prec@5 61.719 (64.890)
Epoch: [26][1580/14090]	Time 0.826 (0.764)	Data 0.001 (0.004)	Loss 2.7307 (2.7469)	Prec@1 34.375 (34.373)	Prec@5 64.062 (64.893)
Epoch: [26][1590/14090]	Time 0.740 (0.764)	Data 0.001 (0.004)	Loss 2.7507 (2.7462)	Prec@1 40.625 (34.384)	Prec@5 61.719 (64.908)
Epoch: [26][1600/14090]	Time 0.734 (0.764)	Data 0.001 (0.003)	Loss 2.5083 (2.7459)	Prec@1 36.719 (34.390)	Prec@5 73.438 (64.914)
Epoch: [26][1610/14090]	Time 0.770 (0.764)	Data 0.002 (0.003)	Loss 2.7722 (2.7461)	Prec@1 37.500 (34.388)	Prec@5 67.969 (64.917)
Epoch: [26][1620/14090]	Time 0.756 (0.764)	Data 0.001 (0.003)	Loss 2.7345 (2.7464)	Prec@1 33.594 (34.383)	Prec@5 62.500 (64.905)
Epoch: [26][1630/14090]	Time 0.751 (0.764)	Data 0.001 (0.003)	Loss 2.5530 (2.7464)	Prec@1 42.188 (34.394)	Prec@5 66.406 (64.904)
Epoch: [26][1640/14090]	Time 0.746 (0.764)	Data 0.001 (0.003)	Loss 2.8399 (2.7460)	Prec@1 28.906 (34.396)	Prec@5 57.812 (64.905)
Epoch: [26][1650/14090]	Time 0.828 (0.764)	Data 0.001 (0.003)	Loss 2.5084 (2.7455)	Prec@1 39.844 (34.403)	Prec@5 70.312 (64.908)
Epoch: [26][1660/14090]	Time 0.752 (0.764)	Data 0.001 (0.003)	Loss 2.5489 (2.7450)	Prec@1 36.719 (34.418)	Prec@5 67.188 (64.912)
Epoch: [26][1670/14090]	Time 0.774 (0.764)	Data 0.001 (0.003)	Loss 2.6442 (2.7450)	Prec@1 38.281 (34.406)	Prec@5 62.500 (64.909)
Epoch: [26][1680/14090]	Time 0.736 (0.764)	Data 0.001 (0.003)	Loss 2.7302 (2.7454)	Prec@1 35.938 (34.397)	Prec@5 63.281 (64.899)
Epoch: [26][1690/14090]	Time 0.774 (0.764)	Data 0.001 (0.003)	Loss 2.6039 (2.7447)	Prec@1 38.281 (34.411)	Prec@5 65.625 (64.908)
Epoch: [26][1700/14090]	Time 0.742 (0.764)	Data 0.001 (0.003)	Loss 2.9060 (2.7449)	Prec@1 32.812 (34.403)	Prec@5 60.938 (64.907)
Epoch: [26][1710/14090]	Time 0.726 (0.764)	Data 0.002 (0.003)	Loss 2.6755 (2.7452)	Prec@1 48.438 (34.412)	Prec@5 67.969 (64.902)
Epoch: [26][1720/14090]	Time 0.795 (0.763)	Data 0.001 (0.003)	Loss 2.4296 (2.7451)	Prec@1 39.844 (34.414)	Prec@5 72.656 (64.897)
Epoch: [26][1730/14090]	Time 0.755 (0.763)	Data 0.001 (0.003)	Loss 2.6212 (2.7449)	Prec@1 39.062 (34.422)	Prec@5 64.844 (64.902)
Epoch: [26][1740/14090]	Time 0.776 (0.763)	Data 0.001 (0.003)	Loss 2.2653 (2.7445)	Prec@1 38.281 (34.441)	Prec@5 74.219 (64.912)
Epoch: [26][1750/14090]	Time 0.748 (0.763)	Data 0.001 (0.003)	Loss 2.7020 (2.7446)	Prec@1 39.844 (34.440)	Prec@5 66.406 (64.911)
Epoch: [26][1760/14090]	Time 0.728 (0.763)	Data 0.001 (0.003)	Loss 2.6013 (2.7440)	Prec@1 37.500 (34.457)	Prec@5 66.406 (64.928)
Epoch: [26][1770/14090]	Time 0.766 (0.763)	Data 0.002 (0.003)	Loss 3.2160 (2.7445)	Prec@1 25.000 (34.440)	Prec@5 48.438 (64.914)
Epoch: [26][1780/14090]	Time 0.731 (0.764)	Data 0.001 (0.003)	Loss 2.4664 (2.7449)	Prec@1 42.969 (34.438)	Prec@5 70.312 (64.909)
Epoch: [26][1790/14090]	Time 0.802 (0.764)	Data 0.001 (0.003)	Loss 2.4954 (2.7443)	Prec@1 40.625 (34.447)	Prec@5 73.438 (64.920)
Epoch: [26][1800/14090]	Time 0.734 (0.763)	Data 0.002 (0.003)	Loss 2.7942 (2.7446)	Prec@1 33.594 (34.451)	Prec@5 64.062 (64.914)
Epoch: [26][1810/14090]	Time 0.751 (0.763)	Data 0.001 (0.003)	Loss 2.8161 (2.7445)	Prec@1 30.469 (34.456)	Prec@5 63.281 (64.918)
Epoch: [26][1820/14090]	Time 0.764 (0.764)	Data 0.001 (0.003)	Loss 2.7951 (2.7442)	Prec@1 29.688 (34.458)	Prec@5 66.406 (64.918)
Epoch: [26][1830/14090]	Time 0.744 (0.763)	Data 0.001 (0.003)	Loss 2.4540 (2.7439)	Prec@1 36.719 (34.461)	Prec@5 68.750 (64.922)
Epoch: [26][1840/14090]	Time 0.763 (0.763)	Data 0.001 (0.003)	Loss 3.0022 (2.7442)	Prec@1 30.469 (34.451)	Prec@5 59.375 (64.915)
Epoch: [26][1850/14090]	Time 0.739 (0.763)	Data 0.001 (0.003)	Loss 2.8907 (2.7445)	Prec@1 33.594 (34.452)	Prec@5 60.938 (64.904)
Epoch: [26][1860/14090]	Time 0.784 (0.763)	Data 0.001 (0.003)	Loss 2.6895 (2.7447)	Prec@1 44.531 (34.454)	Prec@5 68.750 (64.905)
Epoch: [26][1870/14090]	Time 0.747 (0.763)	Data 0.001 (0.003)	Loss 2.5220 (2.7447)	Prec@1 38.281 (34.461)	Prec@5 71.094 (64.904)
Epoch: [26][1880/14090]	Time 0.752 (0.763)	Data 0.001 (0.003)	Loss 2.6212 (2.7448)	Prec@1 32.031 (34.467)	Prec@5 65.625 (64.899)
Epoch: [26][1890/14090]	Time 0.738 (0.763)	Data 0.001 (0.003)	Loss 2.7511 (2.7448)	Prec@1 36.719 (34.470)	Prec@5 66.406 (64.900)
Epoch: [26][1900/14090]	Time 0.759 (0.763)	Data 0.001 (0.003)	Loss 2.7096 (2.7448)	Prec@1 37.500 (34.470)	Prec@5 64.844 (64.900)
Epoch: [26][1910/14090]	Time 0.786 (0.763)	Data 0.001 (0.003)	Loss 3.1490 (2.7446)	Prec@1 27.344 (34.469)	Prec@5 59.375 (64.905)
Epoch: [26][1920/14090]	Time 0.736 (0.763)	Data 0.001 (0.003)	Loss 2.6353 (2.7445)	Prec@1 37.500 (34.472)	Prec@5 71.094 (64.912)
Epoch: [26][1930/14090]	Time 0.808 (0.763)	Data 0.001 (0.003)	Loss 2.7938 (2.7443)	Prec@1 27.344 (34.476)	Prec@5 63.281 (64.914)
Epoch: [26][1940/14090]	Time 0.738 (0.763)	Data 0.001 (0.003)	Loss 2.9973 (2.7442)	Prec@1 28.125 (34.473)	Prec@5 57.812 (64.916)
Epoch: [26][1950/14090]	Time 0.747 (0.763)	Data 0.001 (0.003)	Loss 2.8987 (2.7443)	Prec@1 32.031 (34.472)	Prec@5 58.594 (64.911)
Epoch: [26][1960/14090]	Time 0.742 (0.763)	Data 0.001 (0.003)	Loss 2.5100 (2.7437)	Prec@1 32.812 (34.483)	Prec@5 71.094 (64.927)
Epoch: [26][1970/14090]	Time 0.728 (0.763)	Data 0.001 (0.003)	Loss 3.1318 (2.7439)	Prec@1 30.469 (34.481)	Prec@5 57.812 (64.931)
Epoch: [26][1980/14090]	Time 0.732 (0.763)	Data 0.001 (0.003)	Loss 2.7807 (2.7437)	Prec@1 32.031 (34.484)	Prec@5 60.156 (64.933)
Epoch: [26][1990/14090]	Time 0.750 (0.763)	Data 0.001 (0.003)	Loss 2.7379 (2.7438)	Prec@1 37.500 (34.485)	Prec@5 64.844 (64.926)
Epoch: [26][2000/14090]	Time 0.786 (0.763)	Data 0.001 (0.003)	Loss 2.5098 (2.7436)	Prec@1 33.594 (34.491)	Prec@5 71.875 (64.936)
Epoch: [26][2010/14090]	Time 0.744 (0.763)	Data 0.001 (0.003)	Loss 2.6224 (2.7437)	Prec@1 33.594 (34.490)	Prec@5 67.969 (64.936)
Epoch: [26][2020/14090]	Time 0.759 (0.763)	Data 0.001 (0.003)	Loss 2.9782 (2.7436)	Prec@1 32.812 (34.491)	Prec@5 57.031 (64.940)
Epoch: [26][2030/14090]	Time 0.734 (0.763)	Data 0.001 (0.003)	Loss 2.8807 (2.7435)	Prec@1 33.594 (34.490)	Prec@5 62.500 (64.946)
Epoch: [26][2040/14090]	Time 0.766 (0.763)	Data 0.001 (0.003)	Loss 2.7589 (2.7431)	Prec@1 35.156 (34.504)	Prec@5 61.719 (64.958)
Epoch: [26][2050/14090]	Time 0.770 (0.763)	Data 0.001 (0.003)	Loss 2.6399 (2.7428)	Prec@1 39.062 (34.497)	Prec@5 69.531 (64.976)
Epoch: [26][2060/14090]	Time 0.753 (0.763)	Data 0.001 (0.003)	Loss 2.6427 (2.7428)	Prec@1 33.594 (34.496)	Prec@5 65.625 (64.968)
Epoch: [26][2070/14090]	Time 0.771 (0.763)	Data 0.001 (0.003)	Loss 2.7917 (2.7427)	Prec@1 39.844 (34.504)	Prec@5 65.625 (64.972)
Epoch: [26][2080/14090]	Time 0.734 (0.763)	Data 0.001 (0.003)	Loss 2.5846 (2.7428)	Prec@1 37.500 (34.503)	Prec@5 65.625 (64.975)
Epoch: [26][2090/14090]	Time 0.746 (0.763)	Data 0.001 (0.003)	Loss 2.8050 (2.7427)	Prec@1 37.500 (34.510)	Prec@5 64.844 (64.978)
Epoch: [26][2100/14090]	Time 0.732 (0.763)	Data 0.001 (0.003)	Loss 2.7419 (2.7428)	Prec@1 41.406 (34.507)	Prec@5 65.625 (64.979)
Epoch: [26][2110/14090]	Time 0.754 (0.763)	Data 0.001 (0.003)	Loss 2.8691 (2.7428)	Prec@1 36.719 (34.506)	Prec@5 66.406 (64.982)
Epoch: [26][2120/14090]	Time 0.767 (0.763)	Data 0.001 (0.003)	Loss 2.7840 (2.7424)	Prec@1 35.156 (34.513)	Prec@5 61.719 (64.983)
Epoch: [26][2130/14090]	Time 0.766 (0.763)	Data 0.001 (0.003)	Loss 2.7156 (2.7426)	Prec@1 31.250 (34.506)	Prec@5 67.969 (64.988)
Epoch: [26][2140/14090]	Time 0.798 (0.763)	Data 0.001 (0.003)	Loss 2.7711 (2.7428)	Prec@1 33.594 (34.499)	Prec@5 61.719 (64.980)
Epoch: [26][2150/14090]	Time 0.767 (0.763)	Data 0.001 (0.003)	Loss 2.9478 (2.7426)	Prec@1 31.250 (34.501)	Prec@5 57.031 (64.980)
Epoch: [26][2160/14090]	Time 0.726 (0.763)	Data 0.001 (0.003)	Loss 2.4654 (2.7424)	Prec@1 36.719 (34.504)	Prec@5 74.219 (64.984)
Epoch: [26][2170/14090]	Time 0.737 (0.763)	Data 0.001 (0.003)	Loss 2.9476 (2.7428)	Prec@1 37.500 (34.501)	Prec@5 60.156 (64.977)
Epoch: [26][2180/14090]	Time 0.748 (0.763)	Data 0.001 (0.003)	Loss 2.5248 (2.7426)	Prec@1 41.406 (34.497)	Prec@5 71.875 (64.984)
Epoch: [26][2190/14090]	Time 0.756 (0.763)	Data 0.001 (0.003)	Loss 2.7576 (2.7425)	Prec@1 34.375 (34.496)	Prec@5 63.281 (64.979)
Epoch: [26][2200/14090]	Time 0.751 (0.763)	Data 0.001 (0.003)	Loss 2.5053 (2.7424)	Prec@1 35.938 (34.486)	Prec@5 72.656 (64.981)
Epoch: [26][2210/14090]	Time 0.822 (0.763)	Data 0.001 (0.003)	Loss 2.7811 (2.7424)	Prec@1 31.250 (34.487)	Prec@5 64.844 (64.983)
Epoch: [26][2220/14090]	Time 0.753 (0.763)	Data 0.001 (0.003)	Loss 2.5762 (2.7431)	Prec@1 39.844 (34.482)	Prec@5 72.656 (64.967)
Epoch: [26][2230/14090]	Time 0.757 (0.763)	Data 0.001 (0.003)	Loss 2.7349 (2.7434)	Prec@1 33.594 (34.474)	Prec@5 61.719 (64.961)
Epoch: [26][2240/14090]	Time 0.775 (0.763)	Data 0.001 (0.003)	Loss 2.7255 (2.7432)	Prec@1 32.812 (34.480)	Prec@5 63.281 (64.965)
Epoch: [26][2250/14090]	Time 0.748 (0.763)	Data 0.001 (0.003)	Loss 2.9461 (2.7435)	Prec@1 31.250 (34.472)	Prec@5 68.750 (64.965)
Epoch: [26][2260/14090]	Time 0.740 (0.763)	Data 0.001 (0.003)	Loss 2.7695 (2.7436)	Prec@1 32.031 (34.470)	Prec@5 64.062 (64.956)
Epoch: [26][2270/14090]	Time 0.755 (0.763)	Data 0.001 (0.003)	Loss 2.6886 (2.7438)	Prec@1 34.375 (34.463)	Prec@5 65.625 (64.950)
Epoch: [26][2280/14090]	Time 0.793 (0.763)	Data 0.001 (0.003)	Loss 2.5355 (2.7438)	Prec@1 37.500 (34.467)	Prec@5 71.094 (64.947)
Epoch: [26][2290/14090]	Time 0.780 (0.763)	Data 0.001 (0.003)	Loss 2.3294 (2.7434)	Prec@1 39.844 (34.478)	Prec@5 72.656 (64.952)
Epoch: [26][2300/14090]	Time 0.727 (0.763)	Data 0.001 (0.003)	Loss 2.7143 (2.7435)	Prec@1 32.812 (34.478)	Prec@5 67.969 (64.951)
Epoch: [26][2310/14090]	Time 0.730 (0.763)	Data 0.001 (0.003)	Loss 2.8125 (2.7436)	Prec@1 35.938 (34.479)	Prec@5 63.281 (64.947)
Epoch: [26][2320/14090]	Time 0.763 (0.763)	Data 0.001 (0.003)	Loss 2.3534 (2.7437)	Prec@1 36.719 (34.474)	Prec@5 75.000 (64.942)
Epoch: [26][2330/14090]	Time 0.744 (0.763)	Data 0.001 (0.003)	Loss 2.4074 (2.7434)	Prec@1 42.188 (34.481)	Prec@5 71.875 (64.950)
Epoch: [26][2340/14090]	Time 0.741 (0.763)	Data 0.001 (0.003)	Loss 3.0745 (2.7433)	Prec@1 29.688 (34.479)	Prec@5 59.375 (64.955)
Epoch: [26][2350/14090]	Time 0.803 (0.763)	Data 0.001 (0.003)	Loss 2.7909 (2.7436)	Prec@1 34.375 (34.473)	Prec@5 61.719 (64.944)
Epoch: [26][2360/14090]	Time 0.757 (0.763)	Data 0.001 (0.003)	Loss 2.7676 (2.7435)	Prec@1 32.812 (34.474)	Prec@5 60.156 (64.946)
Epoch: [26][2370/14090]	Time 0.743 (0.763)	Data 0.001 (0.003)	Loss 2.7816 (2.7435)	Prec@1 32.031 (34.477)	Prec@5 68.750 (64.946)
Epoch: [26][2380/14090]	Time 0.737 (0.763)	Data 0.001 (0.003)	Loss 2.8229 (2.7437)	Prec@1 32.812 (34.475)	Prec@5 63.281 (64.939)
Epoch: [26][2390/14090]	Time 0.781 (0.763)	Data 0.001 (0.003)	Loss 3.2388 (2.7439)	Prec@1 33.594 (34.480)	Prec@5 58.594 (64.930)
Epoch: [26][2400/14090]	Time 0.752 (0.763)	Data 0.001 (0.003)	Loss 2.6048 (2.7436)	Prec@1 38.281 (34.492)	Prec@5 67.969 (64.932)
Epoch: [26][2410/14090]	Time 0.745 (0.763)	Data 0.001 (0.003)	Loss 2.9840 (2.7438)	Prec@1 33.594 (34.486)	Prec@5 63.281 (64.929)
Epoch: [26][2420/14090]	Time 0.967 (0.763)	Data 0.001 (0.003)	Loss 2.8319 (2.7440)	Prec@1 33.594 (34.484)	Prec@5 62.500 (64.932)
Epoch: [26][2430/14090]	Time 0.764 (0.763)	Data 0.001 (0.003)	Loss 2.4766 (2.7437)	Prec@1 34.375 (34.492)	Prec@5 69.531 (64.939)
Epoch: [26][2440/14090]	Time 0.745 (0.763)	Data 0.001 (0.003)	Loss 2.4214 (2.7433)	Prec@1 39.062 (34.504)	Prec@5 75.000 (64.949)
Epoch: [26][2450/14090]	Time 0.740 (0.763)	Data 0.001 (0.003)	Loss 2.5148 (2.7432)	Prec@1 38.281 (34.503)	Prec@5 67.969 (64.952)
Epoch: [26][2460/14090]	Time 0.740 (0.763)	Data 0.001 (0.003)	Loss 2.8473 (2.7434)	Prec@1 33.594 (34.497)	Prec@5 58.594 (64.946)
Epoch: [26][2470/14090]	Time 0.752 (0.763)	Data 0.001 (0.003)	Loss 2.7222 (2.7435)	Prec@1 35.938 (34.495)	Prec@5 67.969 (64.942)
Epoch: [26][2480/14090]	Time 0.751 (0.763)	Data 0.001 (0.003)	Loss 2.8210 (2.7438)	Prec@1 30.469 (34.491)	Prec@5 59.375 (64.940)
Epoch: [26][2490/14090]	Time 0.804 (0.763)	Data 0.001 (0.003)	Loss 2.8298 (2.7437)	Prec@1 38.281 (34.496)	Prec@5 62.500 (64.940)
Epoch: [26][2500/14090]	Time 0.736 (0.763)	Data 0.001 (0.003)	Loss 2.7043 (2.7438)	Prec@1 35.938 (34.499)	Prec@5 65.625 (64.940)
Epoch: [26][2510/14090]	Time 0.730 (0.763)	Data 0.001 (0.003)	Loss 2.7847 (2.7439)	Prec@1 32.812 (34.494)	Prec@5 66.406 (64.943)
Epoch: [26][2520/14090]	Time 0.757 (0.763)	Data 0.001 (0.003)	Loss 2.6889 (2.7435)	Prec@1 34.375 (34.506)	Prec@5 64.844 (64.946)
Epoch: [26][2530/14090]	Time 0.750 (0.763)	Data 0.001 (0.003)	Loss 2.6293 (2.7434)	Prec@1 32.812 (34.508)	Prec@5 68.750 (64.944)
Epoch: [26][2540/14090]	Time 0.763 (0.763)	Data 0.001 (0.003)	Loss 3.1662 (2.7435)	Prec@1 32.031 (34.506)	Prec@5 57.812 (64.943)
Epoch: [26][2550/14090]	Time 0.754 (0.763)	Data 0.001 (0.003)	Loss 2.6609 (2.7435)	Prec@1 39.062 (34.498)	Prec@5 67.188 (64.943)
Epoch: [26][2560/14090]	Time 0.841 (0.763)	Data 0.001 (0.002)	Loss 3.0402 (2.7438)	Prec@1 32.812 (34.489)	Prec@5 60.156 (64.943)
Epoch: [26][2570/14090]	Time 0.745 (0.763)	Data 0.001 (0.002)	Loss 3.0695 (2.7439)	Prec@1 25.781 (34.488)	Prec@5 60.156 (64.939)
Epoch: [26][2580/14090]	Time 0.743 (0.763)	Data 0.001 (0.002)	Loss 2.6964 (2.7437)	Prec@1 42.188 (34.492)	Prec@5 65.625 (64.940)
Epoch: [26][2590/14090]	Time 0.775 (0.763)	Data 0.001 (0.002)	Loss 2.6868 (2.7440)	Prec@1 34.375 (34.485)	Prec@5 66.406 (64.935)
Epoch: [26][2600/14090]	Time 0.764 (0.763)	Data 0.001 (0.002)	Loss 2.6192 (2.7445)	Prec@1 37.500 (34.471)	Prec@5 69.531 (64.925)
Epoch: [26][2610/14090]	Time 0.721 (0.763)	Data 0.001 (0.002)	Loss 2.5019 (2.7442)	Prec@1 37.500 (34.482)	Prec@5 75.000 (64.931)
Epoch: [26][2620/14090]	Time 0.745 (0.763)	Data 0.001 (0.002)	Loss 2.3519 (2.7443)	Prec@1 41.406 (34.480)	Prec@5 74.219 (64.932)
Epoch: [26][2630/14090]	Time 0.802 (0.763)	Data 0.001 (0.002)	Loss 2.7621 (2.7444)	Prec@1 32.031 (34.477)	Prec@5 61.719 (64.925)
Epoch: [26][2640/14090]	Time 0.744 (0.762)	Data 0.001 (0.002)	Loss 2.7549 (2.7443)	Prec@1 39.062 (34.483)	Prec@5 60.156 (64.925)
Epoch: [26][2650/14090]	Time 0.769 (0.762)	Data 0.001 (0.002)	Loss 2.8678 (2.7443)	Prec@1 35.156 (34.486)	Prec@5 65.625 (64.924)
Epoch: [26][2660/14090]	Time 0.776 (0.762)	Data 0.003 (0.002)	Loss 3.0501 (2.7447)	Prec@1 34.375 (34.481)	Prec@5 55.469 (64.913)
Epoch: [26][2670/14090]	Time 0.765 (0.762)	Data 0.001 (0.002)	Loss 2.8194 (2.7446)	Prec@1 30.469 (34.480)	Prec@5 61.719 (64.913)
Epoch: [26][2680/14090]	Time 0.725 (0.762)	Data 0.001 (0.002)	Loss 2.4953 (2.7448)	Prec@1 41.406 (34.481)	Prec@5 69.531 (64.912)
Epoch: [26][2690/14090]	Time 0.742 (0.762)	Data 0.001 (0.002)	Loss 2.5123 (2.7449)	Prec@1 34.375 (34.477)	Prec@5 68.750 (64.913)
Epoch: [26][2700/14090]	Time 0.795 (0.762)	Data 0.001 (0.002)	Loss 2.9251 (2.7451)	Prec@1 30.469 (34.475)	Prec@5 64.062 (64.907)
Epoch: [26][2710/14090]	Time 0.763 (0.762)	Data 0.001 (0.002)	Loss 2.4759 (2.7450)	Prec@1 44.531 (34.481)	Prec@5 71.875 (64.907)
Epoch: [26][2720/14090]	Time 0.747 (0.762)	Data 0.001 (0.002)	Loss 2.8142 (2.7451)	Prec@1 29.688 (34.476)	Prec@5 60.938 (64.907)
Epoch: [26][2730/14090]	Time 0.752 (0.762)	Data 0.001 (0.002)	Loss 3.0963 (2.7454)	Prec@1 25.781 (34.475)	Prec@5 57.812 (64.897)
Epoch: [26][2740/14090]	Time 0.748 (0.762)	Data 0.001 (0.002)	Loss 2.6663 (2.7451)	Prec@1 36.719 (34.483)	Prec@5 63.281 (64.903)
Epoch: [26][2750/14090]	Time 0.754 (0.762)	Data 0.001 (0.002)	Loss 2.6601 (2.7446)	Prec@1 33.594 (34.489)	Prec@5 71.875 (64.914)
Epoch: [26][2760/14090]	Time 0.735 (0.762)	Data 0.001 (0.002)	Loss 2.3534 (2.7444)	Prec@1 37.500 (34.488)	Prec@5 74.219 (64.914)
Epoch: [26][2770/14090]	Time 0.790 (0.762)	Data 0.001 (0.002)	Loss 2.6845 (2.7444)	Prec@1 39.844 (34.494)	Prec@5 63.281 (64.910)
Epoch: [26][2780/14090]	Time 0.746 (0.762)	Data 0.001 (0.002)	Loss 2.9809 (2.7446)	Prec@1 32.031 (34.489)	Prec@5 57.031 (64.909)
Epoch: [26][2790/14090]	Time 0.745 (0.762)	Data 0.001 (0.002)	Loss 2.8893 (2.7450)	Prec@1 31.250 (34.482)	Prec@5 65.625 (64.912)
Epoch: [26][2800/14090]	Time 0.749 (0.762)	Data 0.001 (0.002)	Loss 2.4188 (2.7446)	Prec@1 45.312 (34.490)	Prec@5 68.750 (64.914)
Epoch: [26][2810/14090]	Time 0.751 (0.762)	Data 0.001 (0.002)	Loss 2.6741 (2.7444)	Prec@1 39.062 (34.496)	Prec@5 62.500 (64.922)
Epoch: [26][2820/14090]	Time 0.737 (0.762)	Data 0.001 (0.002)	Loss 2.5924 (2.7444)	Prec@1 35.156 (34.499)	Prec@5 66.406 (64.925)
Epoch: [26][2830/14090]	Time 0.733 (0.762)	Data 0.001 (0.002)	Loss 2.8511 (2.7445)	Prec@1 32.031 (34.499)	Prec@5 63.281 (64.923)
Epoch: [26][2840/14090]	Time 0.873 (0.762)	Data 0.001 (0.002)	Loss 2.5682 (2.7444)	Prec@1 37.500 (34.498)	Prec@5 63.281 (64.919)
Epoch: [26][2850/14090]	Time 0.734 (0.762)	Data 0.001 (0.002)	Loss 2.7087 (2.7445)	Prec@1 31.250 (34.494)	Prec@5 68.750 (64.918)
Epoch: [26][2860/14090]	Time 0.769 (0.762)	Data 0.001 (0.002)	Loss 2.4646 (2.7445)	Prec@1 42.969 (34.496)	Prec@5 67.188 (64.915)
Epoch: [26][2870/14090]	Time 0.747 (0.762)	Data 0.001 (0.002)	Loss 2.9846 (2.7447)	Prec@1 32.031 (34.496)	Prec@5 62.500 (64.915)
Epoch: [26][2880/14090]	Time 0.752 (0.762)	Data 0.001 (0.002)	Loss 2.5798 (2.7447)	Prec@1 32.031 (34.499)	Prec@5 66.406 (64.919)
Epoch: [26][2890/14090]	Time 0.728 (0.762)	Data 0.001 (0.002)	Loss 2.8950 (2.7451)	Prec@1 36.719 (34.495)	Prec@5 63.281 (64.913)
Epoch: [26][2900/14090]	Time 0.750 (0.762)	Data 0.001 (0.002)	Loss 2.7656 (2.7450)	Prec@1 35.156 (34.489)	Prec@5 60.156 (64.918)
Epoch: [26][2910/14090]	Time 0.970 (0.762)	Data 0.001 (0.002)	Loss 3.0438 (2.7453)	Prec@1 32.812 (34.486)	Prec@5 56.250 (64.908)
Epoch: [26][2920/14090]	Time 0.737 (0.762)	Data 0.001 (0.002)	Loss 2.3418 (2.7451)	Prec@1 43.750 (34.487)	Prec@5 70.312 (64.910)
Epoch: [26][2930/14090]	Time 0.768 (0.762)	Data 0.001 (0.002)	Loss 2.3871 (2.7449)	Prec@1 45.312 (34.485)	Prec@5 72.656 (64.912)
Epoch: [26][2940/14090]	Time 0.744 (0.762)	Data 0.001 (0.002)	Loss 2.6885 (2.7450)	Prec@1 32.812 (34.486)	Prec@5 67.969 (64.913)
Epoch: [26][2950/14090]	Time 0.727 (0.762)	Data 0.001 (0.002)	Loss 2.9365 (2.7451)	Prec@1 30.469 (34.488)	Prec@5 62.500 (64.915)
Epoch: [26][2960/14090]	Time 0.732 (0.762)	Data 0.001 (0.002)	Loss 2.6518 (2.7451)	Prec@1 39.844 (34.487)	Prec@5 67.188 (64.918)
Epoch: [26][2970/14090]	Time 0.758 (0.762)	Data 0.001 (0.002)	Loss 2.7712 (2.7451)	Prec@1 35.156 (34.487)	Prec@5 67.188 (64.912)
Epoch: [26][2980/14090]	Time 0.792 (0.762)	Data 0.001 (0.002)	Loss 2.5762 (2.7450)	Prec@1 39.062 (34.490)	Prec@5 64.844 (64.917)
Epoch: [26][2990/14090]	Time 0.736 (0.762)	Data 0.001 (0.002)	Loss 2.4490 (2.7450)	Prec@1 39.062 (34.483)	Prec@5 69.531 (64.912)
Epoch: [26][3000/14090]	Time 0.730 (0.762)	Data 0.001 (0.002)	Loss 2.4483 (2.7449)	Prec@1 47.656 (34.491)	Prec@5 77.344 (64.917)
Epoch: [26][3010/14090]	Time 0.722 (0.762)	Data 0.001 (0.002)	Loss 2.7431 (2.7450)	Prec@1 33.594 (34.489)	Prec@5 62.500 (64.910)
Epoch: [26][3020/14090]	Time 0.752 (0.762)	Data 0.001 (0.002)	Loss 2.4669 (2.7449)	Prec@1 39.844 (34.481)	Prec@5 69.531 (64.906)
Epoch: [26][3030/14090]	Time 0.751 (0.762)	Data 0.001 (0.002)	Loss 2.7260 (2.7446)	Prec@1 31.250 (34.490)	Prec@5 68.750 (64.913)
Epoch: [26][3040/14090]	Time 0.770 (0.762)	Data 0.001 (0.002)	Loss 2.9724 (2.7445)	Prec@1 31.250 (34.494)	Prec@5 63.281 (64.914)
Epoch: [26][3050/14090]	Time 0.954 (0.762)	Data 0.001 (0.002)	Loss 2.3568 (2.7442)	Prec@1 43.750 (34.499)	Prec@5 72.656 (64.918)
Epoch: [26][3060/14090]	Time 0.738 (0.762)	Data 0.001 (0.002)	Loss 2.4927 (2.7443)	Prec@1 39.062 (34.500)	Prec@5 70.312 (64.914)
Epoch: [26][3070/14090]	Time 0.747 (0.762)	Data 0.001 (0.002)	Loss 2.7933 (2.7441)	Prec@1 32.031 (34.501)	Prec@5 66.406 (64.914)
Epoch: [26][3080/14090]	Time 0.758 (0.762)	Data 0.001 (0.002)	Loss 2.7412 (2.7441)	Prec@1 37.500 (34.504)	Prec@5 65.625 (64.913)
Epoch: [26][3090/14090]	Time 0.743 (0.762)	Data 0.001 (0.002)	Loss 2.8868 (2.7443)	Prec@1 34.375 (34.498)	Prec@5 60.938 (64.911)
Epoch: [26][3100/14090]	Time 0.724 (0.762)	Data 0.001 (0.002)	Loss 2.6005 (2.7441)	Prec@1 36.719 (34.504)	Prec@5 73.438 (64.921)
Epoch: [26][3110/14090]	Time 0.740 (0.762)	Data 0.001 (0.002)	Loss 2.8489 (2.7438)	Prec@1 33.594 (34.507)	Prec@5 61.719 (64.925)
Epoch: [26][3120/14090]	Time 0.809 (0.762)	Data 0.001 (0.002)	Loss 2.7879 (2.7441)	Prec@1 35.938 (34.500)	Prec@5 68.750 (64.916)
Epoch: [26][3130/14090]	Time 0.753 (0.762)	Data 0.001 (0.002)	Loss 2.5456 (2.7441)	Prec@1 38.281 (34.497)	Prec@5 71.094 (64.914)
Epoch: [26][3140/14090]	Time 0.780 (0.762)	Data 0.001 (0.002)	Loss 2.6824 (2.7443)	Prec@1 37.500 (34.487)	Prec@5 60.156 (64.907)
Epoch: [26][3150/14090]	Time 0.748 (0.762)	Data 0.001 (0.002)	Loss 2.6097 (2.7441)	Prec@1 39.062 (34.494)	Prec@5 67.969 (64.913)
Epoch: [26][3160/14090]	Time 0.748 (0.762)	Data 0.001 (0.002)	Loss 2.9043 (2.7441)	Prec@1 29.688 (34.499)	Prec@5 64.844 (64.916)
Epoch: [26][3170/14090]	Time 0.753 (0.762)	Data 0.001 (0.002)	Loss 2.6419 (2.7440)	Prec@1 37.500 (34.502)	Prec@5 63.281 (64.917)
Epoch: [26][3180/14090]	Time 0.762 (0.762)	Data 0.001 (0.002)	Loss 2.4875 (2.7439)	Prec@1 40.625 (34.504)	Prec@5 71.875 (64.919)
Epoch: [26][3190/14090]	Time 0.816 (0.762)	Data 0.001 (0.002)	Loss 3.0713 (2.7439)	Prec@1 29.688 (34.505)	Prec@5 57.812 (64.920)
Epoch: [26][3200/14090]	Time 0.725 (0.762)	Data 0.001 (0.002)	Loss 3.0571 (2.7446)	Prec@1 28.125 (34.491)	Prec@5 53.906 (64.911)
Epoch: [26][3210/14090]	Time 0.739 (0.762)	Data 0.001 (0.002)	Loss 2.7031 (2.7445)	Prec@1 34.375 (34.491)	Prec@5 60.938 (64.911)
Epoch: [26][3220/14090]	Time 0.752 (0.762)	Data 0.001 (0.002)	Loss 2.8319 (2.7446)	Prec@1 33.594 (34.488)	Prec@5 61.719 (64.906)
Epoch: [26][3230/14090]	Time 0.734 (0.762)	Data 0.001 (0.002)	Loss 2.8913 (2.7443)	Prec@1 34.375 (34.491)	Prec@5 65.625 (64.914)
Epoch: [26][3240/14090]	Time 0.737 (0.762)	Data 0.001 (0.002)	Loss 2.7510 (2.7441)	Prec@1 32.031 (34.493)	Prec@5 65.625 (64.916)
Epoch: [26][3250/14090]	Time 0.769 (0.762)	Data 0.001 (0.002)	Loss 2.7035 (2.7438)	Prec@1 40.625 (34.502)	Prec@5 64.844 (64.918)
Epoch: [26][3260/14090]	Time 0.828 (0.762)	Data 0.001 (0.002)	Loss 2.7362 (2.7436)	Prec@1 29.688 (34.503)	Prec@5 65.625 (64.925)
Epoch: [26][3270/14090]	Time 0.723 (0.762)	Data 0.001 (0.002)	Loss 2.5027 (2.7436)	Prec@1 37.500 (34.506)	Prec@5 70.312 (64.928)
Epoch: [26][3280/14090]	Time 0.746 (0.762)	Data 0.001 (0.002)	Loss 2.8146 (2.7434)	Prec@1 32.031 (34.511)	Prec@5 62.500 (64.927)
Epoch: [26][3290/14090]	Time 0.751 (0.762)	Data 0.001 (0.002)	Loss 2.7966 (2.7436)	Prec@1 35.938 (34.505)	Prec@5 64.062 (64.926)
Epoch: [26][3300/14090]	Time 0.741 (0.762)	Data 0.001 (0.002)	Loss 2.9390 (2.7436)	Prec@1 39.062 (34.505)	Prec@5 60.156 (64.927)
Epoch: [26][3310/14090]	Time 0.775 (0.762)	Data 0.001 (0.002)	Loss 2.9935 (2.7438)	Prec@1 30.469 (34.500)	Prec@5 60.938 (64.925)
Epoch: [26][3320/14090]	Time 0.721 (0.762)	Data 0.001 (0.002)	Loss 2.7488 (2.7436)	Prec@1 31.250 (34.505)	Prec@5 64.062 (64.930)
Epoch: [26][3330/14090]	Time 0.812 (0.762)	Data 0.001 (0.002)	Loss 2.6011 (2.7437)	Prec@1 31.250 (34.503)	Prec@5 66.406 (64.928)
Epoch: [26][3340/14090]	Time 0.746 (0.762)	Data 0.001 (0.002)	Loss 2.6744 (2.7438)	Prec@1 35.938 (34.502)	Prec@5 66.406 (64.924)
Epoch: [26][3350/14090]	Time 0.757 (0.762)	Data 0.001 (0.002)	Loss 2.8388 (2.7440)	Prec@1 31.250 (34.495)	Prec@5 58.594 (64.916)
Epoch: [26][3360/14090]	Time 0.752 (0.762)	Data 0.001 (0.002)	Loss 2.2467 (2.7438)	Prec@1 42.188 (34.497)	Prec@5 71.875 (64.915)
Epoch: [26][3370/14090]	Time 0.763 (0.762)	Data 0.001 (0.002)	Loss 2.7197 (2.7437)	Prec@1 29.688 (34.499)	Prec@5 66.406 (64.917)
Epoch: [26][3380/14090]	Time 0.748 (0.762)	Data 0.001 (0.002)	Loss 3.2913 (2.7440)	Prec@1 28.125 (34.493)	Prec@5 52.344 (64.906)
Epoch: [26][3390/14090]	Time 0.734 (0.762)	Data 0.001 (0.002)	Loss 2.7486 (2.7438)	Prec@1 38.281 (34.501)	Prec@5 65.625 (64.906)
Epoch: [26][3400/14090]	Time 0.882 (0.762)	Data 0.001 (0.002)	Loss 3.0462 (2.7440)	Prec@1 32.812 (34.498)	Prec@5 54.688 (64.902)
Epoch: [26][3410/14090]	Time 0.737 (0.762)	Data 0.001 (0.002)	Loss 2.6415 (2.7440)	Prec@1 30.469 (34.500)	Prec@5 67.969 (64.905)
Epoch: [26][3420/14090]	Time 0.748 (0.762)	Data 0.001 (0.002)	Loss 2.6092 (2.7438)	Prec@1 33.594 (34.500)	Prec@5 66.406 (64.909)
Epoch: [26][3430/14090]	Time 0.779 (0.762)	Data 0.001 (0.002)	Loss 2.9101 (2.7441)	Prec@1 35.156 (34.501)	Prec@5 58.594 (64.904)
Epoch: [26][3440/14090]	Time 0.750 (0.762)	Data 0.001 (0.002)	Loss 2.7372 (2.7441)	Prec@1 31.250 (34.499)	Prec@5 64.844 (64.903)
Epoch: [26][3450/14090]	Time 0.758 (0.762)	Data 0.001 (0.002)	Loss 2.6087 (2.7442)	Prec@1 39.844 (34.500)	Prec@5 65.625 (64.901)
Epoch: [26][3460/14090]	Time 0.772 (0.762)	Data 0.001 (0.002)	Loss 2.8833 (2.7440)	Prec@1 33.594 (34.500)	Prec@5 63.281 (64.903)
Epoch: [26][3470/14090]	Time 0.775 (0.762)	Data 0.001 (0.002)	Loss 2.2195 (2.7435)	Prec@1 48.438 (34.513)	Prec@5 76.562 (64.918)
Epoch: [26][3480/14090]	Time 0.743 (0.762)	Data 0.001 (0.002)	Loss 3.0831 (2.7437)	Prec@1 24.219 (34.507)	Prec@5 57.031 (64.914)
Epoch: [26][3490/14090]	Time 0.741 (0.762)	Data 0.001 (0.002)	Loss 2.7932 (2.7438)	Prec@1 33.594 (34.508)	Prec@5 61.719 (64.911)
Epoch: [26][3500/14090]	Time 0.757 (0.762)	Data 0.001 (0.002)	Loss 2.6105 (2.7438)	Prec@1 32.812 (34.506)	Prec@5 67.969 (64.914)
Epoch: [26][3510/14090]	Time 0.761 (0.762)	Data 0.001 (0.002)	Loss 2.7635 (2.7438)	Prec@1 38.281 (34.505)	Prec@5 70.312 (64.911)
Epoch: [26][3520/14090]	Time 0.731 (0.762)	Data 0.001 (0.002)	Loss 3.0709 (2.7441)	Prec@1 32.812 (34.497)	Prec@5 58.594 (64.903)
Epoch: [26][3530/14090]	Time 0.754 (0.762)	Data 0.001 (0.002)	Loss 2.8967 (2.7442)	Prec@1 37.500 (34.496)	Prec@5 60.156 (64.898)
Epoch: [26][3540/14090]	Time 0.807 (0.762)	Data 0.001 (0.002)	Loss 2.9304 (2.7444)	Prec@1 39.844 (34.495)	Prec@5 58.594 (64.895)
Epoch: [26][3550/14090]	Time 0.724 (0.762)	Data 0.001 (0.002)	Loss 2.9060 (2.7446)	Prec@1 37.500 (34.494)	Prec@5 57.812 (64.888)
Epoch: [26][3560/14090]	Time 0.752 (0.762)	Data 0.001 (0.002)	Loss 2.7037 (2.7447)	Prec@1 35.156 (34.493)	Prec@5 65.625 (64.888)
Epoch: [26][3570/14090]	Time 0.733 (0.762)	Data 0.001 (0.002)	Loss 2.7414 (2.7448)	Prec@1 39.844 (34.490)	Prec@5 63.281 (64.888)
Epoch: [26][3580/14090]	Time 0.741 (0.762)	Data 0.001 (0.002)	Loss 2.6228 (2.7448)	Prec@1 37.500 (34.490)	Prec@5 67.969 (64.888)
Epoch: [26][3590/14090]	Time 0.761 (0.762)	Data 0.001 (0.002)	Loss 2.7700 (2.7452)	Prec@1 31.250 (34.486)	Prec@5 64.844 (64.881)
Epoch: [26][3600/14090]	Time 0.758 (0.762)	Data 0.001 (0.002)	Loss 2.6234 (2.7452)	Prec@1 29.688 (34.484)	Prec@5 63.281 (64.883)
Epoch: [26][3610/14090]	Time 0.824 (0.762)	Data 0.001 (0.002)	Loss 2.8674 (2.7455)	Prec@1 32.812 (34.482)	Prec@5 57.812 (64.872)
Epoch: [26][3620/14090]	Time 0.760 (0.762)	Data 0.001 (0.002)	Loss 2.9444 (2.7455)	Prec@1 41.406 (34.482)	Prec@5 60.938 (64.873)
Epoch: [26][3630/14090]	Time 0.741 (0.762)	Data 0.001 (0.002)	Loss 3.0185 (2.7457)	Prec@1 31.250 (34.475)	Prec@5 57.031 (64.868)
Epoch: [26][3640/14090]	Time 0.756 (0.762)	Data 0.001 (0.002)	Loss 2.6395 (2.7455)	Prec@1 35.938 (34.477)	Prec@5 71.094 (64.874)
Epoch: [26][3650/14090]	Time 0.744 (0.762)	Data 0.001 (0.002)	Loss 2.9362 (2.7455)	Prec@1 34.375 (34.477)	Prec@5 60.156 (64.876)
Epoch: [26][3660/14090]	Time 0.726 (0.762)	Data 0.001 (0.002)	Loss 2.7013 (2.7454)	Prec@1 33.594 (34.479)	Prec@5 66.406 (64.877)
Epoch: [26][3670/14090]	Time 0.793 (0.762)	Data 0.001 (0.002)	Loss 2.3752 (2.7454)	Prec@1 42.188 (34.479)	Prec@5 72.656 (64.878)
Epoch: [26][3680/14090]	Time 0.814 (0.762)	Data 0.001 (0.002)	Loss 2.4990 (2.7453)	Prec@1 39.062 (34.483)	Prec@5 74.219 (64.883)
Epoch: [26][3690/14090]	Time 0.734 (0.762)	Data 0.001 (0.002)	Loss 2.7785 (2.7450)	Prec@1 34.375 (34.488)	Prec@5 63.281 (64.892)
Epoch: [26][3700/14090]	Time 0.731 (0.762)	Data 0.001 (0.002)	Loss 2.8075 (2.7452)	Prec@1 29.688 (34.482)	Prec@5 66.406 (64.889)
Epoch: [26][3710/14090]	Time 0.758 (0.762)	Data 0.001 (0.002)	Loss 3.1116 (2.7454)	Prec@1 28.125 (34.478)	Prec@5 54.688 (64.884)
Epoch: [26][3720/14090]	Time 0.726 (0.762)	Data 0.001 (0.002)	Loss 2.6874 (2.7453)	Prec@1 38.281 (34.477)	Prec@5 60.156 (64.883)
Epoch: [26][3730/14090]	Time 0.740 (0.762)	Data 0.001 (0.002)	Loss 2.8258 (2.7453)	Prec@1 34.375 (34.476)	Prec@5 64.062 (64.885)
Epoch: [26][3740/14090]	Time 0.733 (0.762)	Data 0.001 (0.002)	Loss 2.8498 (2.7453)	Prec@1 32.812 (34.478)	Prec@5 59.375 (64.887)
Epoch: [26][3750/14090]	Time 0.809 (0.762)	Data 0.001 (0.002)	Loss 2.7526 (2.7451)	Prec@1 32.031 (34.486)	Prec@5 62.500 (64.891)
Epoch: [26][3760/14090]	Time 0.752 (0.762)	Data 0.001 (0.002)	Loss 2.7887 (2.7452)	Prec@1 34.375 (34.486)	Prec@5 61.719 (64.891)
Epoch: [26][3770/14090]	Time 0.741 (0.762)	Data 0.001 (0.002)	Loss 2.7925 (2.7450)	Prec@1 32.812 (34.488)	Prec@5 64.844 (64.896)
Epoch: [26][3780/14090]	Time 0.747 (0.762)	Data 0.001 (0.002)	Loss 3.0674 (2.7453)	Prec@1 28.906 (34.483)	Prec@5 57.812 (64.888)
Epoch: [26][3790/14090]	Time 0.747 (0.762)	Data 0.001 (0.002)	Loss 3.0220 (2.7453)	Prec@1 28.906 (34.484)	Prec@5 63.281 (64.889)
Epoch: [26][3800/14090]	Time 0.763 (0.762)	Data 0.001 (0.002)	Loss 2.7544 (2.7453)	Prec@1 33.594 (34.484)	Prec@5 64.062 (64.888)
Epoch: [26][3810/14090]	Time 0.754 (0.762)	Data 0.001 (0.002)	Loss 2.9101 (2.7456)	Prec@1 22.656 (34.474)	Prec@5 67.188 (64.882)
Epoch: [26][3820/14090]	Time 0.782 (0.762)	Data 0.001 (0.002)	Loss 2.7508 (2.7457)	Prec@1 31.250 (34.474)	Prec@5 60.938 (64.879)
Epoch: [26][3830/14090]	Time 0.748 (0.762)	Data 0.001 (0.002)	Loss 2.9109 (2.7459)	Prec@1 29.688 (34.468)	Prec@5 60.156 (64.872)
Epoch: [26][3840/14090]	Time 0.740 (0.761)	Data 0.001 (0.002)	Loss 2.7945 (2.7459)	Prec@1 31.250 (34.467)	Prec@5 64.844 (64.874)
Epoch: [26][3850/14090]	Time 0.769 (0.761)	Data 0.001 (0.002)	Loss 2.6741 (2.7462)	Prec@1 28.125 (34.463)	Prec@5 64.062 (64.867)
Epoch: [26][3860/14090]	Time 0.735 (0.761)	Data 0.001 (0.002)	Loss 2.7303 (2.7461)	Prec@1 35.156 (34.463)	Prec@5 64.062 (64.870)
Epoch: [26][3870/14090]	Time 0.761 (0.761)	Data 0.001 (0.002)	Loss 3.0229 (2.7462)	Prec@1 31.250 (34.457)	Prec@5 58.594 (64.867)
Epoch: [26][3880/14090]	Time 0.772 (0.761)	Data 0.003 (0.002)	Loss 2.7654 (2.7463)	Prec@1 37.500 (34.456)	Prec@5 63.281 (64.864)
Epoch: [26][3890/14090]	Time 0.838 (0.761)	Data 0.001 (0.002)	Loss 2.5579 (2.7463)	Prec@1 37.500 (34.459)	Prec@5 71.094 (64.864)
Epoch: [26][3900/14090]	Time 0.756 (0.761)	Data 0.001 (0.002)	Loss 2.6446 (2.7464)	Prec@1 38.281 (34.458)	Prec@5 67.969 (64.863)
Epoch: [26][3910/14090]	Time 0.763 (0.761)	Data 0.001 (0.002)	Loss 2.6967 (2.7464)	Prec@1 34.375 (34.456)	Prec@5 68.750 (64.862)
Epoch: [26][3920/14090]	Time 0.753 (0.761)	Data 0.001 (0.002)	Loss 2.6722 (2.7464)	Prec@1 37.500 (34.457)	Prec@5 64.844 (64.866)
Epoch: [26][3930/14090]	Time 0.758 (0.761)	Data 0.001 (0.002)	Loss 2.8811 (2.7465)	Prec@1 39.844 (34.457)	Prec@5 60.156 (64.860)
Epoch: [26][3940/14090]	Time 0.739 (0.761)	Data 0.001 (0.002)	Loss 2.6147 (2.7464)	Prec@1 36.719 (34.461)	Prec@5 69.531 (64.862)
Epoch: [26][3950/14090]	Time 0.761 (0.761)	Data 0.001 (0.002)	Loss 2.6943 (2.7464)	Prec@1 36.719 (34.462)	Prec@5 64.844 (64.861)
Epoch: [26][3960/14090]	Time 0.972 (0.761)	Data 0.001 (0.002)	Loss 3.0260 (2.7465)	Prec@1 29.688 (34.462)	Prec@5 64.844 (64.860)
Epoch: [26][3970/14090]	Time 0.768 (0.761)	Data 0.001 (0.002)	Loss 2.5345 (2.7465)	Prec@1 36.719 (34.456)	Prec@5 67.188 (64.859)
Epoch: [26][3980/14090]	Time 0.734 (0.761)	Data 0.001 (0.002)	Loss 2.7232 (2.7463)	Prec@1 39.844 (34.463)	Prec@5 66.406 (64.863)
Epoch: [26][3990/14090]	Time 0.784 (0.761)	Data 0.001 (0.002)	Loss 2.6173 (2.7462)	Prec@1 31.250 (34.458)	Prec@5 68.750 (64.865)
Epoch: [26][4000/14090]	Time 0.737 (0.761)	Data 0.001 (0.002)	Loss 2.5913 (2.7463)	Prec@1 32.812 (34.454)	Prec@5 67.188 (64.861)
Epoch: [26][4010/14090]	Time 0.764 (0.761)	Data 0.001 (0.002)	Loss 2.8410 (2.7466)	Prec@1 30.469 (34.447)	Prec@5 61.719 (64.856)
Epoch: [26][4020/14090]	Time 0.770 (0.761)	Data 0.001 (0.002)	Loss 2.5013 (2.7465)	Prec@1 41.406 (34.448)	Prec@5 70.312 (64.855)
Epoch: [26][4030/14090]	Time 0.835 (0.761)	Data 0.001 (0.002)	Loss 2.6150 (2.7464)	Prec@1 39.844 (34.453)	Prec@5 64.844 (64.854)
Epoch: [26][4040/14090]	Time 0.740 (0.761)	Data 0.001 (0.002)	Loss 2.6074 (2.7465)	Prec@1 31.250 (34.447)	Prec@5 67.969 (64.850)
Epoch: [26][4050/14090]	Time 0.757 (0.761)	Data 0.001 (0.002)	Loss 2.8747 (2.7466)	Prec@1 30.469 (34.445)	Prec@5 64.062 (64.851)
Epoch: [26][4060/14090]	Time 0.749 (0.761)	Data 0.001 (0.002)	Loss 2.7265 (2.7465)	Prec@1 38.281 (34.444)	Prec@5 65.625 (64.851)
Epoch: [26][4070/14090]	Time 0.741 (0.761)	Data 0.001 (0.002)	Loss 2.7518 (2.7467)	Prec@1 35.938 (34.440)	Prec@5 65.625 (64.849)
Epoch: [26][4080/14090]	Time 0.757 (0.761)	Data 0.002 (0.002)	Loss 2.7752 (2.7472)	Prec@1 30.469 (34.432)	Prec@5 66.406 (64.840)
Epoch: [26][4090/14090]	Time 0.725 (0.761)	Data 0.001 (0.002)	Loss 2.6129 (2.7471)	Prec@1 37.500 (34.432)	Prec@5 65.625 (64.838)
Epoch: [26][4100/14090]	Time 0.807 (0.761)	Data 0.001 (0.002)	Loss 2.6677 (2.7472)	Prec@1 29.688 (34.430)	Prec@5 69.531 (64.837)
Epoch: [26][4110/14090]	Time 0.744 (0.761)	Data 0.001 (0.002)	Loss 2.8780 (2.7472)	Prec@1 31.250 (34.427)	Prec@5 67.188 (64.839)
Epoch: [26][4120/14090]	Time 0.743 (0.761)	Data 0.001 (0.002)	Loss 2.7524 (2.7473)	Prec@1 31.250 (34.428)	Prec@5 63.281 (64.839)
Epoch: [26][4130/14090]	Time 0.752 (0.761)	Data 0.001 (0.002)	Loss 2.5725 (2.7472)	Prec@1 37.500 (34.432)	Prec@5 69.531 (64.842)
Epoch: [26][4140/14090]	Time 0.720 (0.761)	Data 0.001 (0.002)	Loss 2.7506 (2.7474)	Prec@1 34.375 (34.429)	Prec@5 64.062 (64.839)
Epoch: [26][4150/14090]	Time 0.747 (0.761)	Data 0.001 (0.002)	Loss 2.9770 (2.7475)	Prec@1 36.719 (34.431)	Prec@5 60.938 (64.835)
Epoch: [26][4160/14090]	Time 0.737 (0.761)	Data 0.003 (0.002)	Loss 2.6302 (2.7475)	Prec@1 35.938 (34.429)	Prec@5 67.969 (64.837)
Epoch: [26][4170/14090]	Time 0.802 (0.761)	Data 0.001 (0.002)	Loss 2.7389 (2.7475)	Prec@1 35.156 (34.427)	Prec@5 67.188 (64.840)
Epoch: [26][4180/14090]	Time 0.755 (0.761)	Data 0.001 (0.002)	Loss 2.9545 (2.7476)	Prec@1 28.906 (34.425)	Prec@5 60.938 (64.836)
Epoch: [26][4190/14090]	Time 0.756 (0.761)	Data 0.001 (0.002)	Loss 2.5353 (2.7476)	Prec@1 39.062 (34.430)	Prec@5 71.094 (64.836)
Epoch: [26][4200/14090]	Time 0.766 (0.761)	Data 0.001 (0.002)	Loss 2.5930 (2.7475)	Prec@1 37.500 (34.430)	Prec@5 76.562 (64.837)
Epoch: [26][4210/14090]	Time 0.742 (0.761)	Data 0.001 (0.002)	Loss 2.7601 (2.7475)	Prec@1 35.156 (34.433)	Prec@5 64.062 (64.837)
Epoch: [26][4220/14090]	Time 0.762 (0.761)	Data 0.002 (0.002)	Loss 2.7034 (2.7476)	Prec@1 35.938 (34.429)	Prec@5 67.969 (64.836)
Epoch: [26][4230/14090]	Time 0.737 (0.761)	Data 0.001 (0.002)	Loss 2.8261 (2.7477)	Prec@1 35.156 (34.431)	Prec@5 67.969 (64.837)
Epoch: [26][4240/14090]	Time 0.854 (0.761)	Data 0.001 (0.002)	Loss 3.0852 (2.7480)	Prec@1 28.906 (34.423)	Prec@5 60.938 (64.834)
Epoch: [26][4250/14090]	Time 0.754 (0.761)	Data 0.001 (0.002)	Loss 2.8645 (2.7478)	Prec@1 37.500 (34.422)	Prec@5 60.938 (64.836)
Epoch: [26][4260/14090]	Time 0.745 (0.761)	Data 0.001 (0.002)	Loss 2.7323 (2.7477)	Prec@1 33.594 (34.418)	Prec@5 64.844 (64.837)
Epoch: [26][4270/14090]	Time 0.753 (0.761)	Data 0.001 (0.002)	Loss 2.7891 (2.7478)	Prec@1 35.938 (34.415)	Prec@5 62.500 (64.833)
Epoch: [26][4280/14090]	Time 0.770 (0.761)	Data 0.001 (0.002)	Loss 2.6687 (2.7478)	Prec@1 36.719 (34.414)	Prec@5 67.969 (64.830)
Epoch: [26][4290/14090]	Time 0.742 (0.761)	Data 0.001 (0.002)	Loss 2.9787 (2.7478)	Prec@1 26.562 (34.409)	Prec@5 57.812 (64.830)
Epoch: [26][4300/14090]	Time 0.736 (0.761)	Data 0.001 (0.002)	Loss 2.8145 (2.7479)	Prec@1 32.812 (34.409)	Prec@5 60.938 (64.828)
Epoch: [26][4310/14090]	Time 0.812 (0.761)	Data 0.001 (0.002)	Loss 2.6176 (2.7478)	Prec@1 38.281 (34.409)	Prec@5 66.406 (64.829)
Epoch: [26][4320/14090]	Time 0.753 (0.761)	Data 0.001 (0.002)	Loss 2.6151 (2.7478)	Prec@1 33.594 (34.407)	Prec@5 70.312 (64.831)
Epoch: [26][4330/14090]	Time 0.754 (0.761)	Data 0.001 (0.002)	Loss 2.8806 (2.7477)	Prec@1 28.906 (34.409)	Prec@5 64.062 (64.832)
Epoch: [26][4340/14090]	Time 0.782 (0.761)	Data 0.001 (0.002)	Loss 2.6776 (2.7476)	Prec@1 35.156 (34.410)	Prec@5 70.312 (64.835)
Epoch: [26][4350/14090]	Time 0.759 (0.761)	Data 0.001 (0.002)	Loss 2.6442 (2.7479)	Prec@1 36.719 (34.404)	Prec@5 68.750 (64.831)
Epoch: [26][4360/14090]	Time 0.754 (0.761)	Data 0.001 (0.002)	Loss 2.9299 (2.7480)	Prec@1 32.812 (34.402)	Prec@5 60.938 (64.831)
Epoch: [26][4370/14090]	Time 0.768 (0.761)	Data 0.001 (0.002)	Loss 2.3203 (2.7478)	Prec@1 42.188 (34.407)	Prec@5 73.438 (64.835)
Epoch: [26][4380/14090]	Time 0.756 (0.761)	Data 0.001 (0.002)	Loss 2.7237 (2.7477)	Prec@1 30.469 (34.407)	Prec@5 61.719 (64.841)
Epoch: [26][4390/14090]	Time 0.759 (0.761)	Data 0.001 (0.002)	Loss 2.6264 (2.7476)	Prec@1 38.281 (34.409)	Prec@5 67.969 (64.841)
Epoch: [26][4400/14090]	Time 0.754 (0.761)	Data 0.001 (0.002)	Loss 2.6921 (2.7478)	Prec@1 36.719 (34.407)	Prec@5 63.281 (64.838)
Epoch: [26][4410/14090]	Time 0.761 (0.761)	Data 0.001 (0.002)	Loss 2.4913 (2.7478)	Prec@1 38.281 (34.409)	Prec@5 65.625 (64.837)
Epoch: [26][4420/14090]	Time 0.756 (0.761)	Data 0.001 (0.002)	Loss 2.4157 (2.7478)	Prec@1 42.188 (34.408)	Prec@5 71.094 (64.838)
Epoch: [26][4430/14090]	Time 0.754 (0.761)	Data 0.001 (0.002)	Loss 2.5207 (2.7479)	Prec@1 42.188 (34.406)	Prec@5 71.094 (64.839)
Epoch: [26][4440/14090]	Time 0.730 (0.761)	Data 0.001 (0.002)	Loss 2.9992 (2.7480)	Prec@1 22.656 (34.401)	Prec@5 60.156 (64.833)
Epoch: [26][4450/14090]	Time 0.802 (0.761)	Data 0.001 (0.002)	Loss 2.5563 (2.7480)	Prec@1 40.625 (34.402)	Prec@5 67.188 (64.831)
Epoch: [26][4460/14090]	Time 0.751 (0.761)	Data 0.001 (0.002)	Loss 2.6720 (2.7480)	Prec@1 34.375 (34.402)	Prec@5 67.188 (64.831)
Epoch: [26][4470/14090]	Time 0.748 (0.761)	Data 0.001 (0.002)	Loss 2.7560 (2.7480)	Prec@1 35.156 (34.402)	Prec@5 64.844 (64.832)
Epoch: [26][4480/14090]	Time 0.761 (0.761)	Data 0.001 (0.002)	Loss 2.8413 (2.7482)	Prec@1 29.688 (34.402)	Prec@5 71.094 (64.831)
Epoch: [26][4490/14090]	Time 0.766 (0.761)	Data 0.001 (0.002)	Loss 2.6713 (2.7482)	Prec@1 33.594 (34.399)	Prec@5 68.750 (64.831)
Epoch: [26][4500/14090]	Time 0.748 (0.761)	Data 0.001 (0.002)	Loss 2.8798 (2.7484)	Prec@1 29.688 (34.392)	Prec@5 67.188 (64.826)
Epoch: [26][4510/14090]	Time 0.724 (0.761)	Data 0.001 (0.002)	Loss 2.9582 (2.7486)	Prec@1 35.156 (34.391)	Prec@5 60.156 (64.824)
Epoch: [26][4520/14090]	Time 0.841 (0.761)	Data 0.004 (0.002)	Loss 2.6855 (2.7487)	Prec@1 38.281 (34.392)	Prec@5 66.406 (64.821)
Epoch: [26][4530/14090]	Time 0.747 (0.761)	Data 0.001 (0.002)	Loss 2.7174 (2.7488)	Prec@1 38.281 (34.393)	Prec@5 64.844 (64.820)
Epoch: [26][4540/14090]	Time 0.776 (0.761)	Data 0.001 (0.002)	Loss 2.6428 (2.7487)	Prec@1 35.156 (34.399)	Prec@5 69.531 (64.822)
Epoch: [26][4550/14090]	Time 0.773 (0.761)	Data 0.001 (0.002)	Loss 2.8219 (2.7487)	Prec@1 32.812 (34.400)	Prec@5 64.844 (64.823)
Epoch: [26][4560/14090]	Time 0.753 (0.761)	Data 0.001 (0.002)	Loss 2.3995 (2.7485)	Prec@1 38.281 (34.403)	Prec@5 69.531 (64.830)
Epoch: [26][4570/14090]	Time 0.746 (0.761)	Data 0.001 (0.002)	Loss 2.9207 (2.7484)	Prec@1 30.469 (34.401)	Prec@5 66.406 (64.835)
Epoch: [26][4580/14090]	Time 0.735 (0.761)	Data 0.001 (0.002)	Loss 2.7090 (2.7484)	Prec@1 34.375 (34.402)	Prec@5 67.969 (64.835)
Epoch: [26][4590/14090]	Time 0.801 (0.761)	Data 0.001 (0.002)	Loss 2.7453 (2.7485)	Prec@1 33.594 (34.401)	Prec@5 69.531 (64.836)
Epoch: [26][4600/14090]	Time 0.751 (0.761)	Data 0.001 (0.002)	Loss 3.0537 (2.7486)	Prec@1 25.781 (34.398)	Prec@5 58.594 (64.839)
Epoch: [26][4610/14090]	Time 0.739 (0.761)	Data 0.001 (0.002)	Loss 2.9541 (2.7486)	Prec@1 24.219 (34.394)	Prec@5 69.531 (64.841)
Epoch: [26][4620/14090]	Time 0.750 (0.761)	Data 0.001 (0.002)	Loss 2.8779 (2.7486)	Prec@1 28.125 (34.392)	Prec@5 61.719 (64.840)
Epoch: [26][4630/14090]	Time 0.725 (0.761)	Data 0.001 (0.002)	Loss 2.8947 (2.7487)	Prec@1 32.812 (34.392)	Prec@5 60.156 (64.837)
Epoch: [26][4640/14090]	Time 0.749 (0.761)	Data 0.001 (0.002)	Loss 2.5627 (2.7486)	Prec@1 36.719 (34.392)	Prec@5 73.438 (64.839)
Epoch: [26][4650/14090]	Time 0.774 (0.761)	Data 0.001 (0.002)	Loss 2.6729 (2.7485)	Prec@1 36.719 (34.394)	Prec@5 68.750 (64.843)
Epoch: [26][4660/14090]	Time 0.808 (0.761)	Data 0.001 (0.002)	Loss 2.7198 (2.7485)	Prec@1 35.938 (34.395)	Prec@5 62.500 (64.841)
Epoch: [26][4670/14090]	Time 0.760 (0.761)	Data 0.001 (0.002)	Loss 2.7475 (2.7485)	Prec@1 35.938 (34.394)	Prec@5 65.625 (64.841)
Epoch: [26][4680/14090]	Time 0.763 (0.761)	Data 0.001 (0.002)	Loss 2.7283 (2.7486)	Prec@1 35.938 (34.390)	Prec@5 66.406 (64.840)
Epoch: [26][4690/14090]	Time 0.736 (0.761)	Data 0.001 (0.002)	Loss 2.9491 (2.7487)	Prec@1 28.906 (34.389)	Prec@5 60.938 (64.838)
Epoch: [26][4700/14090]	Time 0.737 (0.761)	Data 0.001 (0.002)	Loss 2.5676 (2.7487)	Prec@1 36.719 (34.387)	Prec@5 68.750 (64.840)
Epoch: [26][4710/14090]	Time 0.756 (0.761)	Data 0.001 (0.002)	Loss 2.6312 (2.7489)	Prec@1 39.062 (34.381)	Prec@5 64.062 (64.835)
Epoch: [26][4720/14090]	Time 0.734 (0.761)	Data 0.001 (0.002)	Loss 2.7147 (2.7490)	Prec@1 35.156 (34.378)	Prec@5 65.625 (64.834)
Epoch: [26][4730/14090]	Time 0.777 (0.761)	Data 0.001 (0.002)	Loss 2.6131 (2.7490)	Prec@1 34.375 (34.375)	Prec@5 66.406 (64.836)
Epoch: [26][4740/14090]	Time 0.739 (0.761)	Data 0.002 (0.002)	Loss 2.7499 (2.7490)	Prec@1 34.375 (34.374)	Prec@5 65.625 (64.835)
Epoch: [26][4750/14090]	Time 0.770 (0.761)	Data 0.001 (0.002)	Loss 2.7629 (2.7489)	Prec@1 36.719 (34.378)	Prec@5 64.062 (64.836)
Epoch: [26][4760/14090]	Time 0.737 (0.761)	Data 0.001 (0.002)	Loss 2.5141 (2.7489)	Prec@1 39.062 (34.378)	Prec@5 67.969 (64.836)
Epoch: [26][4770/14090]	Time 0.735 (0.761)	Data 0.001 (0.002)	Loss 2.6229 (2.7490)	Prec@1 34.375 (34.377)	Prec@5 66.406 (64.836)
Epoch: [26][4780/14090]	Time 0.757 (0.761)	Data 0.001 (0.002)	Loss 2.8954 (2.7489)	Prec@1 37.500 (34.378)	Prec@5 62.500 (64.836)
Epoch: [26][4790/14090]	Time 0.782 (0.761)	Data 0.001 (0.002)	Loss 2.6990 (2.7490)	Prec@1 37.500 (34.379)	Prec@5 64.844 (64.833)
Epoch: [26][4800/14090]	Time 0.755 (0.761)	Data 0.001 (0.002)	Loss 2.7729 (2.7493)	Prec@1 38.281 (34.376)	Prec@5 64.062 (64.827)
Epoch: [26][4810/14090]	Time 0.737 (0.761)	Data 0.001 (0.002)	Loss 2.7435 (2.7492)	Prec@1 39.844 (34.379)	Prec@5 63.281 (64.827)
Epoch: [26][4820/14090]	Time 0.769 (0.761)	Data 0.001 (0.002)	Loss 2.6295 (2.7492)	Prec@1 38.281 (34.383)	Prec@5 68.750 (64.827)
Epoch: [26][4830/14090]	Time 0.766 (0.761)	Data 0.001 (0.002)	Loss 2.7339 (2.7492)	Prec@1 35.938 (34.381)	Prec@5 64.062 (64.828)
Epoch: [26][4840/14090]	Time 0.756 (0.761)	Data 0.001 (0.002)	Loss 2.7102 (2.7492)	Prec@1 35.156 (34.383)	Prec@5 58.594 (64.830)
Epoch: [26][4850/14090]	Time 0.751 (0.761)	Data 0.001 (0.002)	Loss 2.6091 (2.7492)	Prec@1 39.844 (34.385)	Prec@5 71.094 (64.830)
Epoch: [26][4860/14090]	Time 0.722 (0.761)	Data 0.001 (0.002)	Loss 2.9541 (2.7492)	Prec@1 35.938 (34.389)	Prec@5 56.250 (64.832)
Epoch: [26][4870/14090]	Time 0.785 (0.761)	Data 0.001 (0.002)	Loss 2.7084 (2.7491)	Prec@1 35.938 (34.391)	Prec@5 67.188 (64.832)
Epoch: [26][4880/14090]	Time 0.746 (0.761)	Data 0.001 (0.002)	Loss 2.9085 (2.7491)	Prec@1 34.375 (34.392)	Prec@5 61.719 (64.830)
Epoch: [26][4890/14090]	Time 0.781 (0.761)	Data 0.001 (0.002)	Loss 2.8243 (2.7494)	Prec@1 32.031 (34.386)	Prec@5 64.062 (64.823)
Epoch: [26][4900/14090]	Time 0.736 (0.761)	Data 0.001 (0.002)	Loss 2.8503 (2.7493)	Prec@1 28.906 (34.382)	Prec@5 61.719 (64.824)
Epoch: [26][4910/14090]	Time 0.746 (0.761)	Data 0.001 (0.002)	Loss 2.7897 (2.7493)	Prec@1 32.031 (34.380)	Prec@5 59.375 (64.824)
Epoch: [26][4920/14090]	Time 0.736 (0.761)	Data 0.001 (0.002)	Loss 2.5357 (2.7495)	Prec@1 37.500 (34.379)	Prec@5 68.750 (64.824)
Epoch: [26][4930/14090]	Time 0.768 (0.761)	Data 0.001 (0.002)	Loss 2.9185 (2.7496)	Prec@1 28.125 (34.377)	Prec@5 61.719 (64.823)
Epoch: [26][4940/14090]	Time 0.838 (0.761)	Data 0.001 (0.002)	Loss 2.8520 (2.7496)	Prec@1 30.469 (34.373)	Prec@5 65.625 (64.822)
Epoch: [26][4950/14090]	Time 0.738 (0.761)	Data 0.001 (0.002)	Loss 2.5565 (2.7494)	Prec@1 35.938 (34.372)	Prec@5 67.188 (64.823)
Epoch: [26][4960/14090]	Time 0.744 (0.761)	Data 0.001 (0.002)	Loss 2.7583 (2.7494)	Prec@1 34.375 (34.375)	Prec@5 63.281 (64.820)
Epoch: [26][4970/14090]	Time 0.721 (0.761)	Data 0.001 (0.002)	Loss 2.4689 (2.7494)	Prec@1 39.062 (34.376)	Prec@5 71.094 (64.821)
Epoch: [26][4980/14090]	Time 0.732 (0.761)	Data 0.001 (0.002)	Loss 2.8432 (2.7493)	Prec@1 32.031 (34.376)	Prec@5 62.500 (64.823)
Epoch: [26][4990/14090]	Time 0.746 (0.761)	Data 0.001 (0.002)	Loss 2.8303 (2.7494)	Prec@1 30.469 (34.376)	Prec@5 62.500 (64.821)
Epoch: [26][5000/14090]	Time 0.720 (0.761)	Data 0.001 (0.002)	Loss 2.4005 (2.7492)	Prec@1 39.844 (34.379)	Prec@5 72.656 (64.824)
Epoch: [26][5010/14090]	Time 0.826 (0.761)	Data 0.001 (0.002)	Loss 3.0766 (2.7494)	Prec@1 26.562 (34.375)	Prec@5 57.812 (64.821)
Epoch: [26][5020/14090]	Time 0.752 (0.761)	Data 0.001 (0.002)	Loss 2.6129 (2.7495)	Prec@1 32.031 (34.373)	Prec@5 71.875 (64.818)
Epoch: [26][5030/14090]	Time 0.764 (0.761)	Data 0.001 (0.002)	Loss 2.6169 (2.7495)	Prec@1 37.500 (34.371)	Prec@5 66.406 (64.816)
Epoch: [26][5040/14090]	Time 0.738 (0.761)	Data 0.001 (0.002)	Loss 2.6132 (2.7494)	Prec@1 35.938 (34.372)	Prec@5 65.625 (64.818)
Epoch: [26][5050/14090]	Time 0.751 (0.761)	Data 0.001 (0.002)	Loss 2.6460 (2.7494)	Prec@1 34.375 (34.371)	Prec@5 65.625 (64.817)
Epoch: [26][5060/14090]	Time 0.735 (0.761)	Data 0.001 (0.002)	Loss 2.7222 (2.7494)	Prec@1 31.250 (34.371)	Prec@5 63.281 (64.816)
Epoch: [26][5070/14090]	Time 0.731 (0.761)	Data 0.001 (0.002)	Loss 2.8264 (2.7495)	Prec@1 32.812 (34.369)	Prec@5 69.531 (64.814)
Epoch: [26][5080/14090]	Time 0.795 (0.761)	Data 0.001 (0.002)	Loss 2.7304 (2.7494)	Prec@1 39.062 (34.371)	Prec@5 60.156 (64.815)
Epoch: [26][5090/14090]	Time 0.738 (0.761)	Data 0.001 (0.002)	Loss 3.1848 (2.7496)	Prec@1 28.125 (34.370)	Prec@5 56.250 (64.811)
Epoch: [26][5100/14090]	Time 0.728 (0.761)	Data 0.001 (0.002)	Loss 2.4277 (2.7494)	Prec@1 46.875 (34.374)	Prec@5 70.312 (64.815)
Epoch: [26][5110/14090]	Time 0.743 (0.761)	Data 0.001 (0.002)	Loss 2.8823 (2.7493)	Prec@1 35.938 (34.375)	Prec@5 67.188 (64.814)
Epoch: [26][5120/14090]	Time 0.752 (0.761)	Data 0.001 (0.002)	Loss 2.7365 (2.7492)	Prec@1 30.469 (34.375)	Prec@5 64.844 (64.819)
Epoch: [26][5130/14090]	Time 0.765 (0.761)	Data 0.001 (0.002)	Loss 2.7116 (2.7492)	Prec@1 35.156 (34.375)	Prec@5 61.719 (64.817)
Epoch: [26][5140/14090]	Time 0.735 (0.761)	Data 0.001 (0.002)	Loss 3.1948 (2.7492)	Prec@1 32.812 (34.372)	Prec@5 57.031 (64.817)
Epoch: [26][5150/14090]	Time 0.787 (0.761)	Data 0.001 (0.002)	Loss 2.6341 (2.7494)	Prec@1 35.156 (34.370)	Prec@5 70.312 (64.815)
Epoch: [26][5160/14090]	Time 0.739 (0.761)	Data 0.001 (0.002)	Loss 2.6454 (2.7493)	Prec@1 39.062 (34.369)	Prec@5 68.750 (64.818)
Epoch: [26][5170/14090]	Time 0.735 (0.761)	Data 0.001 (0.002)	Loss 3.0100 (2.7494)	Prec@1 32.812 (34.370)	Prec@5 61.719 (64.817)
Epoch: [26][5180/14090]	Time 0.756 (0.761)	Data 0.001 (0.002)	Loss 2.8115 (2.7494)	Prec@1 33.594 (34.373)	Prec@5 64.844 (64.816)
Epoch: [26][5190/14090]	Time 0.784 (0.761)	Data 0.001 (0.002)	Loss 2.7918 (2.7493)	Prec@1 30.469 (34.375)	Prec@5 64.844 (64.814)
Epoch: [26][5200/14090]	Time 0.740 (0.761)	Data 0.001 (0.002)	Loss 2.9352 (2.7495)	Prec@1 28.906 (34.372)	Prec@5 61.719 (64.811)
Epoch: [26][5210/14090]	Time 0.772 (0.761)	Data 0.001 (0.002)	Loss 2.5671 (2.7492)	Prec@1 39.062 (34.378)	Prec@5 65.625 (64.814)
Epoch: [26][5220/14090]	Time 0.966 (0.761)	Data 0.001 (0.002)	Loss 2.7591 (2.7492)	Prec@1 32.812 (34.375)	Prec@5 64.062 (64.815)
Epoch: [26][5230/14090]	Time 0.766 (0.761)	Data 0.001 (0.002)	Loss 2.7985 (2.7489)	Prec@1 30.469 (34.376)	Prec@5 64.844 (64.822)
Epoch: [26][5240/14090]	Time 0.756 (0.761)	Data 0.001 (0.002)	Loss 2.8020 (2.7490)	Prec@1 31.250 (34.375)	Prec@5 64.062 (64.819)
Epoch: [26][5250/14090]	Time 0.753 (0.761)	Data 0.001 (0.002)	Loss 2.9610 (2.7493)	Prec@1 28.125 (34.369)	Prec@5 61.719 (64.816)
Epoch: [26][5260/14090]	Time 0.767 (0.761)	Data 0.001 (0.002)	Loss 2.5789 (2.7494)	Prec@1 35.156 (34.370)	Prec@5 67.969 (64.813)
Epoch: [26][5270/14090]	Time 0.754 (0.761)	Data 0.001 (0.002)	Loss 2.5244 (2.7494)	Prec@1 37.500 (34.369)	Prec@5 66.406 (64.810)
Epoch: [26][5280/14090]	Time 0.753 (0.761)	Data 0.002 (0.002)	Loss 2.5847 (2.7494)	Prec@1 38.281 (34.373)	Prec@5 72.656 (64.809)
Epoch: [26][5290/14090]	Time 0.815 (0.761)	Data 0.001 (0.002)	Loss 2.7534 (2.7494)	Prec@1 33.594 (34.372)	Prec@5 66.406 (64.808)
Epoch: [26][5300/14090]	Time 0.779 (0.761)	Data 0.001 (0.002)	Loss 2.5199 (2.7494)	Prec@1 45.312 (34.372)	Prec@5 70.312 (64.810)
Epoch: [26][5310/14090]	Time 0.760 (0.761)	Data 0.001 (0.002)	Loss 2.6856 (2.7492)	Prec@1 38.281 (34.378)	Prec@5 68.750 (64.815)
Epoch: [26][5320/14090]	Time 0.748 (0.761)	Data 0.001 (0.002)	Loss 2.4238 (2.7492)	Prec@1 35.938 (34.378)	Prec@5 70.312 (64.817)
Epoch: [26][5330/14090]	Time 0.752 (0.761)	Data 0.001 (0.002)	Loss 2.8888 (2.7492)	Prec@1 32.031 (34.379)	Prec@5 63.281 (64.816)
Epoch: [26][5340/14090]	Time 0.740 (0.761)	Data 0.001 (0.002)	Loss 2.6295 (2.7494)	Prec@1 36.719 (34.377)	Prec@5 64.844 (64.811)
Epoch: [26][5350/14090]	Time 0.739 (0.761)	Data 0.001 (0.002)	Loss 3.1186 (2.7494)	Prec@1 29.688 (34.378)	Prec@5 53.906 (64.811)
Epoch: [26][5360/14090]	Time 0.778 (0.761)	Data 0.001 (0.002)	Loss 2.5334 (2.7494)	Prec@1 37.500 (34.379)	Prec@5 68.750 (64.808)
Epoch: [26][5370/14090]	Time 0.756 (0.761)	Data 0.001 (0.002)	Loss 2.7789 (2.7494)	Prec@1 32.812 (34.380)	Prec@5 64.062 (64.806)
Epoch: [26][5380/14090]	Time 0.741 (0.761)	Data 0.001 (0.002)	Loss 2.6074 (2.7495)	Prec@1 36.719 (34.376)	Prec@5 65.625 (64.804)
Epoch: [26][5390/14090]	Time 0.759 (0.761)	Data 0.001 (0.002)	Loss 2.5503 (2.7494)	Prec@1 32.812 (34.377)	Prec@5 68.750 (64.806)
Epoch: [26][5400/14090]	Time 0.772 (0.761)	Data 0.001 (0.002)	Loss 2.5471 (2.7494)	Prec@1 38.281 (34.378)	Prec@5 73.438 (64.807)
Epoch: [26][5410/14090]	Time 0.758 (0.761)	Data 0.001 (0.002)	Loss 2.8944 (2.7494)	Prec@1 29.688 (34.378)	Prec@5 62.500 (64.807)
Epoch: [26][5420/14090]	Time 0.732 (0.761)	Data 0.001 (0.002)	Loss 2.7241 (2.7494)	Prec@1 34.375 (34.377)	Prec@5 63.281 (64.805)
Epoch: [26][5430/14090]	Time 0.799 (0.761)	Data 0.001 (0.002)	Loss 3.0547 (2.7495)	Prec@1 30.469 (34.375)	Prec@5 57.031 (64.803)
Epoch: [26][5440/14090]	Time 0.760 (0.761)	Data 0.001 (0.002)	Loss 3.0164 (2.7496)	Prec@1 28.906 (34.374)	Prec@5 58.594 (64.800)
Epoch: [26][5450/14090]	Time 0.746 (0.761)	Data 0.001 (0.002)	Loss 2.8334 (2.7496)	Prec@1 36.719 (34.372)	Prec@5 62.500 (64.798)
Epoch: [26][5460/14090]	Time 0.731 (0.761)	Data 0.001 (0.002)	Loss 2.4329 (2.7493)	Prec@1 39.062 (34.377)	Prec@5 71.875 (64.804)
Epoch: [26][5470/14090]	Time 0.781 (0.761)	Data 0.002 (0.002)	Loss 2.7292 (2.7493)	Prec@1 32.031 (34.379)	Prec@5 66.406 (64.804)
Epoch: [26][5480/14090]	Time 0.730 (0.761)	Data 0.001 (0.002)	Loss 2.6478 (2.7493)	Prec@1 35.938 (34.378)	Prec@5 71.094 (64.803)
Epoch: [26][5490/14090]	Time 0.768 (0.761)	Data 0.001 (0.002)	Loss 2.9619 (2.7492)	Prec@1 31.250 (34.380)	Prec@5 57.812 (64.805)
Epoch: [26][5500/14090]	Time 0.839 (0.761)	Data 0.001 (0.002)	Loss 2.6847 (2.7491)	Prec@1 37.500 (34.381)	Prec@5 67.188 (64.806)
Epoch: [26][5510/14090]	Time 0.755 (0.761)	Data 0.001 (0.002)	Loss 2.7546 (2.7491)	Prec@1 39.062 (34.383)	Prec@5 61.719 (64.807)
Epoch: [26][5520/14090]	Time 0.749 (0.761)	Data 0.001 (0.002)	Loss 2.9954 (2.7491)	Prec@1 33.594 (34.382)	Prec@5 59.375 (64.807)
Epoch: [26][5530/14090]	Time 0.739 (0.761)	Data 0.001 (0.002)	Loss 2.7235 (2.7494)	Prec@1 36.719 (34.377)	Prec@5 64.844 (64.801)
Epoch: [26][5540/14090]	Time 0.731 (0.761)	Data 0.001 (0.002)	Loss 2.6614 (2.7496)	Prec@1 35.938 (34.377)	Prec@5 66.406 (64.800)
Epoch: [26][5550/14090]	Time 0.758 (0.761)	Data 0.001 (0.002)	Loss 2.8070 (2.7496)	Prec@1 30.469 (34.375)	Prec@5 64.062 (64.795)
Epoch: [26][5560/14090]	Time 0.762 (0.761)	Data 0.001 (0.002)	Loss 2.6112 (2.7497)	Prec@1 32.812 (34.374)	Prec@5 68.750 (64.795)
Epoch: [26][5570/14090]	Time 0.835 (0.761)	Data 0.001 (0.002)	Loss 2.7955 (2.7497)	Prec@1 32.812 (34.375)	Prec@5 63.281 (64.795)
Epoch: [26][5580/14090]	Time 0.771 (0.761)	Data 0.001 (0.002)	Loss 2.5320 (2.7495)	Prec@1 33.594 (34.380)	Prec@5 65.625 (64.797)
Epoch: [26][5590/14090]	Time 0.735 (0.761)	Data 0.002 (0.002)	Loss 2.5242 (2.7495)	Prec@1 42.188 (34.383)	Prec@5 67.969 (64.798)
Epoch: [26][5600/14090]	Time 0.764 (0.761)	Data 0.001 (0.002)	Loss 2.8030 (2.7496)	Prec@1 34.375 (34.382)	Prec@5 62.500 (64.795)
Epoch: [26][5610/14090]	Time 0.759 (0.761)	Data 0.001 (0.002)	Loss 2.8317 (2.7497)	Prec@1 33.594 (34.380)	Prec@5 61.719 (64.792)
Epoch: [26][5620/14090]	Time 0.761 (0.761)	Data 0.001 (0.002)	Loss 2.8983 (2.7496)	Prec@1 30.469 (34.381)	Prec@5 59.375 (64.794)
Epoch: [26][5630/14090]	Time 0.781 (0.761)	Data 0.001 (0.002)	Loss 2.9844 (2.7497)	Prec@1 25.781 (34.381)	Prec@5 62.500 (64.793)
Epoch: [26][5640/14090]	Time 0.895 (0.761)	Data 0.001 (0.002)	Loss 2.8442 (2.7498)	Prec@1 31.250 (34.381)	Prec@5 66.406 (64.792)
Epoch: [26][5650/14090]	Time 0.790 (0.761)	Data 0.001 (0.002)	Loss 3.0109 (2.7499)	Prec@1 35.938 (34.379)	Prec@5 61.719 (64.787)
Epoch: [26][5660/14090]	Time 0.755 (0.761)	Data 0.001 (0.002)	Loss 2.9053 (2.7500)	Prec@1 28.125 (34.377)	Prec@5 62.500 (64.787)
Epoch: [26][5670/14090]	Time 0.732 (0.761)	Data 0.001 (0.002)	Loss 2.6834 (2.7498)	Prec@1 31.250 (34.381)	Prec@5 66.406 (64.789)
Epoch: [26][5680/14090]	Time 0.764 (0.761)	Data 0.001 (0.002)	Loss 3.0146 (2.7499)	Prec@1 29.688 (34.381)	Prec@5 58.594 (64.788)
Epoch: [26][5690/14090]	Time 0.771 (0.761)	Data 0.001 (0.002)	Loss 3.0569 (2.7498)	Prec@1 30.469 (34.383)	Prec@5 56.250 (64.791)
Epoch: [26][5700/14090]	Time 0.736 (0.761)	Data 0.001 (0.002)	Loss 2.8251 (2.7497)	Prec@1 32.031 (34.385)	Prec@5 60.156 (64.788)
Epoch: [26][5710/14090]	Time 0.929 (0.761)	Data 0.001 (0.002)	Loss 2.4666 (2.7497)	Prec@1 37.500 (34.383)	Prec@5 71.094 (64.790)
Epoch: [26][5720/14090]	Time 0.740 (0.761)	Data 0.001 (0.002)	Loss 2.4650 (2.7496)	Prec@1 37.500 (34.384)	Prec@5 71.875 (64.789)
Epoch: [26][5730/14090]	Time 0.746 (0.761)	Data 0.001 (0.002)	Loss 2.4330 (2.7496)	Prec@1 39.062 (34.382)	Prec@5 71.875 (64.792)
Epoch: [26][5740/14090]	Time 0.729 (0.761)	Data 0.001 (0.002)	Loss 2.7395 (2.7497)	Prec@1 33.594 (34.380)	Prec@5 63.281 (64.791)
Epoch: [26][5750/14090]	Time 0.742 (0.761)	Data 0.001 (0.002)	Loss 2.8677 (2.7497)	Prec@1 29.688 (34.379)	Prec@5 63.281 (64.789)
Epoch: [26][5760/14090]	Time 0.789 (0.761)	Data 0.001 (0.002)	Loss 2.8800 (2.7498)	Prec@1 29.688 (34.378)	Prec@5 63.281 (64.786)
Epoch: [26][5770/14090]	Time 0.744 (0.761)	Data 0.001 (0.002)	Loss 2.6592 (2.7498)	Prec@1 32.031 (34.377)	Prec@5 65.625 (64.785)
Epoch: [26][5780/14090]	Time 0.826 (0.761)	Data 0.001 (0.002)	Loss 2.9538 (2.7500)	Prec@1 32.812 (34.376)	Prec@5 60.156 (64.780)
Epoch: [26][5790/14090]	Time 0.782 (0.761)	Data 0.001 (0.002)	Loss 2.7137 (2.7499)	Prec@1 35.938 (34.377)	Prec@5 64.062 (64.782)
Epoch: [26][5800/14090]	Time 0.767 (0.761)	Data 0.001 (0.002)	Loss 2.6560 (2.7499)	Prec@1 38.281 (34.379)	Prec@5 65.625 (64.780)
Epoch: [26][5810/14090]	Time 0.731 (0.761)	Data 0.001 (0.002)	Loss 2.8759 (2.7499)	Prec@1 30.469 (34.378)	Prec@5 61.719 (64.781)
Epoch: [26][5820/14090]	Time 0.732 (0.761)	Data 0.001 (0.002)	Loss 2.8714 (2.7499)	Prec@1 31.250 (34.378)	Prec@5 64.062 (64.783)
Epoch: [26][5830/14090]	Time 0.766 (0.761)	Data 0.001 (0.002)	Loss 2.4162 (2.7499)	Prec@1 42.188 (34.380)	Prec@5 70.312 (64.781)
Epoch: [26][5840/14090]	Time 0.735 (0.761)	Data 0.001 (0.002)	Loss 2.3743 (2.7499)	Prec@1 42.188 (34.381)	Prec@5 73.438 (64.781)
Epoch: [26][5850/14090]	Time 0.828 (0.761)	Data 0.001 (0.002)	Loss 2.7355 (2.7497)	Prec@1 36.719 (34.383)	Prec@5 63.281 (64.784)
Epoch: [26][5860/14090]	Time 0.760 (0.761)	Data 0.001 (0.002)	Loss 2.9060 (2.7496)	Prec@1 36.719 (34.386)	Prec@5 64.844 (64.784)
Epoch: [26][5870/14090]	Time 0.758 (0.761)	Data 0.001 (0.002)	Loss 2.8246 (2.7497)	Prec@1 39.062 (34.384)	Prec@5 64.844 (64.783)
Epoch: [26][5880/14090]	Time 0.776 (0.761)	Data 0.001 (0.002)	Loss 3.0875 (2.7498)	Prec@1 24.219 (34.380)	Prec@5 58.594 (64.782)
Epoch: [26][5890/14090]	Time 0.760 (0.761)	Data 0.001 (0.002)	Loss 2.4972 (2.7498)	Prec@1 42.969 (34.383)	Prec@5 71.875 (64.785)
Epoch: [26][5900/14090]	Time 0.744 (0.761)	Data 0.001 (0.002)	Loss 2.8216 (2.7499)	Prec@1 32.812 (34.382)	Prec@5 60.156 (64.782)
Epoch: [26][5910/14090]	Time 0.737 (0.761)	Data 0.001 (0.002)	Loss 2.6967 (2.7500)	Prec@1 31.250 (34.381)	Prec@5 62.500 (64.776)
Epoch: [26][5920/14090]	Time 0.814 (0.761)	Data 0.001 (0.002)	Loss 2.7812 (2.7503)	Prec@1 35.156 (34.377)	Prec@5 60.156 (64.770)
Epoch: [26][5930/14090]	Time 0.739 (0.761)	Data 0.001 (0.002)	Loss 2.8063 (2.7503)	Prec@1 28.125 (34.376)	Prec@5 69.531 (64.768)
Epoch: [26][5940/14090]	Time 0.761 (0.761)	Data 0.001 (0.002)	Loss 2.9599 (2.7504)	Prec@1 30.469 (34.375)	Prec@5 61.719 (64.766)
Epoch: [26][5950/14090]	Time 0.772 (0.761)	Data 0.001 (0.002)	Loss 2.7111 (2.7504)	Prec@1 34.375 (34.377)	Prec@5 66.406 (64.766)
Epoch: [26][5960/14090]	Time 0.758 (0.761)	Data 0.001 (0.002)	Loss 3.0281 (2.7504)	Prec@1 34.375 (34.380)	Prec@5 56.250 (64.763)
Epoch: [26][5970/14090]	Time 0.729 (0.761)	Data 0.001 (0.002)	Loss 2.6002 (2.7505)	Prec@1 36.719 (34.377)	Prec@5 64.844 (64.760)
Epoch: [26][5980/14090]	Time 0.739 (0.761)	Data 0.001 (0.002)	Loss 2.8289 (2.7505)	Prec@1 33.594 (34.381)	Prec@5 64.844 (64.762)
Epoch: [26][5990/14090]	Time 0.782 (0.761)	Data 0.001 (0.002)	Loss 2.8204 (2.7505)	Prec@1 35.156 (34.382)	Prec@5 59.375 (64.763)
Epoch: [26][6000/14090]	Time 0.758 (0.761)	Data 0.001 (0.002)	Loss 2.9118 (2.7505)	Prec@1 26.562 (34.383)	Prec@5 58.594 (64.764)
Epoch: [26][6010/14090]	Time 0.737 (0.761)	Data 0.001 (0.002)	Loss 3.0517 (2.7503)	Prec@1 30.469 (34.389)	Prec@5 62.500 (64.768)
Epoch: [26][6020/14090]	Time 0.742 (0.761)	Data 0.001 (0.002)	Loss 2.6237 (2.7500)	Prec@1 45.312 (34.395)	Prec@5 67.188 (64.772)
Epoch: [26][6030/14090]	Time 0.754 (0.761)	Data 0.001 (0.002)	Loss 2.7019 (2.7501)	Prec@1 34.375 (34.392)	Prec@5 63.281 (64.772)
Epoch: [26][6040/14090]	Time 0.746 (0.761)	Data 0.001 (0.002)	Loss 2.5506 (2.7500)	Prec@1 40.625 (34.395)	Prec@5 67.969 (64.773)
Epoch: [26][6050/14090]	Time 0.742 (0.761)	Data 0.001 (0.002)	Loss 2.4166 (2.7500)	Prec@1 42.969 (34.397)	Prec@5 70.312 (64.773)
Epoch: [26][6060/14090]	Time 0.783 (0.761)	Data 0.001 (0.002)	Loss 2.7545 (2.7500)	Prec@1 34.375 (34.397)	Prec@5 64.062 (64.773)
Epoch: [26][6070/14090]	Time 0.754 (0.761)	Data 0.001 (0.002)	Loss 2.7370 (2.7500)	Prec@1 35.938 (34.398)	Prec@5 61.719 (64.771)
Epoch: [26][6080/14090]	Time 0.744 (0.761)	Data 0.001 (0.002)	Loss 2.9592 (2.7501)	Prec@1 31.250 (34.395)	Prec@5 62.500 (64.768)
Epoch: [26][6090/14090]	Time 0.756 (0.761)	Data 0.001 (0.002)	Loss 2.8110 (2.7501)	Prec@1 36.719 (34.396)	Prec@5 69.531 (64.769)
Epoch: [26][6100/14090]	Time 0.745 (0.761)	Data 0.001 (0.002)	Loss 2.6158 (2.7500)	Prec@1 33.594 (34.398)	Prec@5 67.969 (64.771)
Epoch: [26][6110/14090]	Time 0.771 (0.761)	Data 0.001 (0.002)	Loss 2.6342 (2.7501)	Prec@1 40.625 (34.394)	Prec@5 67.188 (64.771)
Epoch: [26][6120/14090]	Time 0.767 (0.761)	Data 0.001 (0.002)	Loss 2.7759 (2.7500)	Prec@1 36.719 (34.396)	Prec@5 59.375 (64.772)
Epoch: [26][6130/14090]	Time 0.823 (0.761)	Data 0.001 (0.002)	Loss 2.6264 (2.7499)	Prec@1 35.938 (34.396)	Prec@5 62.500 (64.771)
Epoch: [26][6140/14090]	Time 0.758 (0.761)	Data 0.001 (0.002)	Loss 2.6858 (2.7499)	Prec@1 37.500 (34.393)	Prec@5 69.531 (64.772)
Epoch: [26][6150/14090]	Time 0.738 (0.761)	Data 0.001 (0.002)	Loss 3.0079 (2.7499)	Prec@1 24.219 (34.393)	Prec@5 61.719 (64.772)
Epoch: [26][6160/14090]	Time 0.752 (0.761)	Data 0.001 (0.002)	Loss 2.9370 (2.7499)	Prec@1 30.469 (34.395)	Prec@5 59.375 (64.771)
Epoch: [26][6170/14090]	Time 0.777 (0.761)	Data 0.001 (0.002)	Loss 2.8114 (2.7499)	Prec@1 32.812 (34.392)	Prec@5 65.625 (64.771)
Epoch: [26][6180/14090]	Time 0.727 (0.761)	Data 0.001 (0.002)	Loss 2.4135 (2.7498)	Prec@1 35.156 (34.395)	Prec@5 67.969 (64.771)
Epoch: [26][6190/14090]	Time 0.745 (0.761)	Data 0.001 (0.002)	Loss 2.4990 (2.7497)	Prec@1 40.625 (34.397)	Prec@5 70.312 (64.773)
Epoch: [26][6200/14090]	Time 0.780 (0.761)	Data 0.001 (0.002)	Loss 2.7661 (2.7497)	Prec@1 33.594 (34.396)	Prec@5 63.281 (64.775)
Epoch: [26][6210/14090]	Time 0.740 (0.761)	Data 0.001 (0.002)	Loss 2.5762 (2.7497)	Prec@1 40.625 (34.399)	Prec@5 64.844 (64.776)
Epoch: [26][6220/14090]	Time 0.730 (0.761)	Data 0.001 (0.002)	Loss 2.7011 (2.7498)	Prec@1 33.594 (34.397)	Prec@5 66.406 (64.774)
Epoch: [26][6230/14090]	Time 0.770 (0.761)	Data 0.001 (0.002)	Loss 2.8036 (2.7499)	Prec@1 32.031 (34.398)	Prec@5 64.062 (64.772)
Epoch: [26][6240/14090]	Time 0.734 (0.761)	Data 0.001 (0.002)	Loss 2.5992 (2.7499)	Prec@1 32.812 (34.397)	Prec@5 75.781 (64.774)
Epoch: [26][6250/14090]	Time 0.759 (0.761)	Data 0.001 (0.002)	Loss 2.3635 (2.7498)	Prec@1 38.281 (34.397)	Prec@5 71.875 (64.776)
Epoch: [26][6260/14090]	Time 0.778 (0.761)	Data 0.001 (0.002)	Loss 3.1084 (2.7498)	Prec@1 28.906 (34.397)	Prec@5 59.375 (64.778)
Epoch: [26][6270/14090]	Time 0.809 (0.761)	Data 0.001 (0.002)	Loss 2.5583 (2.7498)	Prec@1 44.531 (34.397)	Prec@5 71.875 (64.778)
Epoch: [26][6280/14090]	Time 0.740 (0.761)	Data 0.001 (0.002)	Loss 2.8475 (2.7498)	Prec@1 28.906 (34.394)	Prec@5 63.281 (64.778)
Epoch: [26][6290/14090]	Time 0.734 (0.761)	Data 0.001 (0.002)	Loss 2.9572 (2.7501)	Prec@1 34.375 (34.391)	Prec@5 58.594 (64.773)
Epoch: [26][6300/14090]	Time 0.734 (0.761)	Data 0.001 (0.002)	Loss 3.0339 (2.7502)	Prec@1 29.688 (34.392)	Prec@5 62.500 (64.771)
Epoch: [26][6310/14090]	Time 0.730 (0.761)	Data 0.001 (0.002)	Loss 2.6034 (2.7501)	Prec@1 40.625 (34.395)	Prec@5 69.531 (64.772)
Epoch: [26][6320/14090]	Time 0.750 (0.761)	Data 0.001 (0.002)	Loss 3.0480 (2.7501)	Prec@1 26.562 (34.396)	Prec@5 63.281 (64.772)
Epoch: [26][6330/14090]	Time 0.751 (0.761)	Data 0.001 (0.002)	Loss 2.8424 (2.7501)	Prec@1 30.469 (34.398)	Prec@5 64.844 (64.771)
Epoch: [26][6340/14090]	Time 0.766 (0.761)	Data 0.001 (0.002)	Loss 2.7760 (2.7501)	Prec@1 31.250 (34.397)	Prec@5 64.062 (64.766)
Epoch: [26][6350/14090]	Time 0.758 (0.761)	Data 0.001 (0.002)	Loss 2.8246 (2.7502)	Prec@1 36.719 (34.398)	Prec@5 68.750 (64.765)
Epoch: [26][6360/14090]	Time 0.732 (0.761)	Data 0.001 (0.002)	Loss 2.6058 (2.7501)	Prec@1 34.375 (34.399)	Prec@5 67.188 (64.770)
Epoch: [26][6370/14090]	Time 0.734 (0.761)	Data 0.001 (0.002)	Loss 2.7115 (2.7500)	Prec@1 40.625 (34.400)	Prec@5 64.844 (64.771)
Epoch: [26][6380/14090]	Time 0.751 (0.761)	Data 0.001 (0.002)	Loss 2.7228 (2.7501)	Prec@1 30.469 (34.398)	Prec@5 65.625 (64.769)
Epoch: [26][6390/14090]	Time 0.761 (0.761)	Data 0.001 (0.002)	Loss 2.6420 (2.7499)	Prec@1 36.719 (34.401)	Prec@5 68.750 (64.771)
Epoch: [26][6400/14090]	Time 0.726 (0.761)	Data 0.001 (0.002)	Loss 2.7278 (2.7500)	Prec@1 35.156 (34.400)	Prec@5 62.500 (64.770)
Epoch: [26][6410/14090]	Time 0.833 (0.761)	Data 0.001 (0.002)	Loss 3.0976 (2.7500)	Prec@1 25.781 (34.397)	Prec@5 61.719 (64.769)
Epoch: [26][6420/14090]	Time 0.777 (0.761)	Data 0.001 (0.002)	Loss 3.0336 (2.7502)	Prec@1 29.688 (34.395)	Prec@5 60.156 (64.766)
Epoch: [26][6430/14090]	Time 0.726 (0.761)	Data 0.001 (0.002)	Loss 2.7946 (2.7503)	Prec@1 40.625 (34.394)	Prec@5 67.188 (64.766)
Epoch: [26][6440/14090]	Time 0.730 (0.761)	Data 0.001 (0.002)	Loss 2.9081 (2.7503)	Prec@1 28.906 (34.394)	Prec@5 62.500 (64.766)
Epoch: [26][6450/14090]	Time 0.740 (0.761)	Data 0.001 (0.002)	Loss 2.9297 (2.7502)	Prec@1 32.031 (34.394)	Prec@5 63.281 (64.768)
Epoch: [26][6460/14090]	Time 0.761 (0.761)	Data 0.001 (0.002)	Loss 2.9240 (2.7500)	Prec@1 34.375 (34.398)	Prec@5 59.375 (64.772)
Epoch: [26][6470/14090]	Time 0.742 (0.761)	Data 0.001 (0.002)	Loss 2.7381 (2.7501)	Prec@1 30.469 (34.396)	Prec@5 63.281 (64.770)
Epoch: [26][6480/14090]	Time 0.765 (0.761)	Data 0.001 (0.001)	Loss 2.9702 (2.7501)	Prec@1 28.125 (34.396)	Prec@5 60.938 (64.771)
Epoch: [26][6490/14090]	Time 0.748 (0.761)	Data 0.001 (0.001)	Loss 3.0212 (2.7501)	Prec@1 34.375 (34.396)	Prec@5 58.594 (64.770)
Epoch: [26][6500/14090]	Time 0.734 (0.761)	Data 0.001 (0.001)	Loss 2.7368 (2.7501)	Prec@1 35.938 (34.396)	Prec@5 61.719 (64.769)
Epoch: [26][6510/14090]	Time 0.782 (0.761)	Data 0.001 (0.001)	Loss 2.9441 (2.7502)	Prec@1 28.906 (34.395)	Prec@5 63.281 (64.768)
Epoch: [26][6520/14090]	Time 0.758 (0.761)	Data 0.001 (0.001)	Loss 2.7598 (2.7500)	Prec@1 35.156 (34.396)	Prec@5 62.500 (64.771)
Epoch: [26][6530/14090]	Time 0.750 (0.761)	Data 0.001 (0.001)	Loss 2.4503 (2.7499)	Prec@1 39.062 (34.397)	Prec@5 69.531 (64.773)
Epoch: [26][6540/14090]	Time 0.752 (0.761)	Data 0.001 (0.001)	Loss 2.4343 (2.7498)	Prec@1 42.969 (34.398)	Prec@5 69.531 (64.774)
Epoch: [26][6550/14090]	Time 0.759 (0.761)	Data 0.001 (0.001)	Loss 2.4594 (2.7498)	Prec@1 39.844 (34.398)	Prec@5 68.750 (64.773)
Epoch: [26][6560/14090]	Time 0.731 (0.761)	Data 0.001 (0.001)	Loss 2.6967 (2.7497)	Prec@1 38.281 (34.401)	Prec@5 66.406 (64.773)
Epoch: [26][6570/14090]	Time 0.752 (0.761)	Data 0.001 (0.001)	Loss 2.9599 (2.7497)	Prec@1 31.250 (34.402)	Prec@5 64.844 (64.775)
Epoch: [26][6580/14090]	Time 0.726 (0.761)	Data 0.001 (0.001)	Loss 2.5571 (2.7497)	Prec@1 35.938 (34.403)	Prec@5 74.219 (64.775)
Epoch: [26][6590/14090]	Time 0.764 (0.761)	Data 0.001 (0.001)	Loss 3.0366 (2.7498)	Prec@1 31.250 (34.402)	Prec@5 57.031 (64.773)
Epoch: [26][6600/14090]	Time 0.741 (0.761)	Data 0.001 (0.001)	Loss 2.8454 (2.7498)	Prec@1 35.156 (34.401)	Prec@5 62.500 (64.771)
Epoch: [26][6610/14090]	Time 0.746 (0.761)	Data 0.001 (0.001)	Loss 2.7731 (2.7497)	Prec@1 36.719 (34.403)	Prec@5 62.500 (64.773)
Epoch: [26][6620/14090]	Time 0.824 (0.761)	Data 0.002 (0.001)	Loss 2.4464 (2.7498)	Prec@1 42.188 (34.406)	Prec@5 65.625 (64.772)
Epoch: [26][6630/14090]	Time 0.763 (0.761)	Data 0.001 (0.001)	Loss 2.8101 (2.7498)	Prec@1 36.719 (34.404)	Prec@5 63.281 (64.769)
Epoch: [26][6640/14090]	Time 0.748 (0.761)	Data 0.001 (0.001)	Loss 2.8686 (2.7497)	Prec@1 26.562 (34.404)	Prec@5 64.062 (64.771)
Epoch: [26][6650/14090]	Time 0.758 (0.761)	Data 0.001 (0.001)	Loss 2.6780 (2.7497)	Prec@1 36.719 (34.404)	Prec@5 64.062 (64.772)
Epoch: [26][6660/14090]	Time 0.736 (0.761)	Data 0.001 (0.001)	Loss 2.8032 (2.7497)	Prec@1 32.812 (34.402)	Prec@5 64.062 (64.771)
Epoch: [26][6670/14090]	Time 0.759 (0.761)	Data 0.001 (0.001)	Loss 2.4559 (2.7498)	Prec@1 39.062 (34.399)	Prec@5 75.781 (64.770)
Epoch: [26][6680/14090]	Time 0.763 (0.761)	Data 0.001 (0.001)	Loss 2.5274 (2.7498)	Prec@1 39.844 (34.399)	Prec@5 69.531 (64.771)
Epoch: [26][6690/14090]	Time 0.826 (0.761)	Data 0.001 (0.001)	Loss 2.6949 (2.7499)	Prec@1 35.156 (34.399)	Prec@5 67.188 (64.769)
Epoch: [26][6700/14090]	Time 0.758 (0.761)	Data 0.001 (0.001)	Loss 2.8258 (2.7498)	Prec@1 29.688 (34.398)	Prec@5 63.281 (64.772)
Epoch: [26][6710/14090]	Time 0.740 (0.761)	Data 0.001 (0.001)	Loss 2.8503 (2.7499)	Prec@1 36.719 (34.399)	Prec@5 62.500 (64.768)
Epoch: [26][6720/14090]	Time 0.764 (0.761)	Data 0.001 (0.001)	Loss 2.5301 (2.7499)	Prec@1 39.062 (34.399)	Prec@5 66.406 (64.768)
Epoch: [26][6730/14090]	Time 0.734 (0.761)	Data 0.001 (0.001)	Loss 2.7293 (2.7499)	Prec@1 30.469 (34.396)	Prec@5 63.281 (64.768)
Epoch: [26][6740/14090]	Time 0.761 (0.761)	Data 0.001 (0.001)	Loss 2.8831 (2.7499)	Prec@1 29.688 (34.394)	Prec@5 66.406 (64.766)
Epoch: [26][6750/14090]	Time 0.787 (0.761)	Data 0.001 (0.001)	Loss 2.6960 (2.7498)	Prec@1 37.500 (34.393)	Prec@5 64.062 (64.770)
Epoch: [26][6760/14090]	Time 0.802 (0.761)	Data 0.001 (0.001)	Loss 2.7670 (2.7499)	Prec@1 40.625 (34.391)	Prec@5 64.844 (64.771)
Epoch: [26][6770/14090]	Time 0.749 (0.761)	Data 0.001 (0.001)	Loss 2.7798 (2.7499)	Prec@1 35.938 (34.391)	Prec@5 61.719 (64.770)
Epoch: [26][6780/14090]	Time 0.763 (0.761)	Data 0.001 (0.001)	Loss 2.8000 (2.7500)	Prec@1 33.594 (34.389)	Prec@5 64.844 (64.770)
Epoch: [26][6790/14090]	Time 0.743 (0.761)	Data 0.001 (0.001)	Loss 2.7598 (2.7501)	Prec@1 32.812 (34.389)	Prec@5 63.281 (64.767)
Epoch: [26][6800/14090]	Time 0.754 (0.761)	Data 0.001 (0.001)	Loss 2.8292 (2.7501)	Prec@1 26.562 (34.390)	Prec@5 65.625 (64.767)
Epoch: [26][6810/14090]	Time 0.755 (0.761)	Data 0.001 (0.001)	Loss 2.8478 (2.7501)	Prec@1 30.469 (34.391)	Prec@5 64.062 (64.765)
Epoch: [26][6820/14090]	Time 0.752 (0.761)	Data 0.001 (0.001)	Loss 2.7678 (2.7501)	Prec@1 35.156 (34.394)	Prec@5 59.375 (64.765)
Epoch: [26][6830/14090]	Time 0.780 (0.761)	Data 0.001 (0.001)	Loss 2.8938 (2.7503)	Prec@1 25.781 (34.389)	Prec@5 64.062 (64.761)
Epoch: [26][6840/14090]	Time 0.733 (0.761)	Data 0.001 (0.001)	Loss 2.5855 (2.7502)	Prec@1 34.375 (34.388)	Prec@5 69.531 (64.762)
Epoch: [26][6850/14090]	Time 0.746 (0.761)	Data 0.001 (0.001)	Loss 2.9407 (2.7502)	Prec@1 30.469 (34.390)	Prec@5 62.500 (64.764)
Epoch: [26][6860/14090]	Time 0.739 (0.761)	Data 0.001 (0.001)	Loss 2.8064 (2.7503)	Prec@1 31.250 (34.387)	Prec@5 63.281 (64.761)
Epoch: [26][6870/14090]	Time 0.789 (0.761)	Data 0.001 (0.001)	Loss 2.9000 (2.7504)	Prec@1 30.469 (34.386)	Prec@5 63.281 (64.760)
Epoch: [26][6880/14090]	Time 0.745 (0.761)	Data 0.001 (0.001)	Loss 2.8199 (2.7505)	Prec@1 35.938 (34.385)	Prec@5 62.500 (64.757)
Epoch: [26][6890/14090]	Time 0.764 (0.761)	Data 0.001 (0.001)	Loss 2.8294 (2.7506)	Prec@1 29.688 (34.384)	Prec@5 64.062 (64.755)
Epoch: [26][6900/14090]	Time 0.776 (0.761)	Data 0.001 (0.001)	Loss 2.8443 (2.7506)	Prec@1 34.375 (34.382)	Prec@5 67.969 (64.755)
Epoch: [26][6910/14090]	Time 0.762 (0.761)	Data 0.001 (0.001)	Loss 2.6450 (2.7507)	Prec@1 39.844 (34.381)	Prec@5 70.312 (64.756)
Epoch: [26][6920/14090]	Time 0.738 (0.761)	Data 0.001 (0.001)	Loss 2.6978 (2.7506)	Prec@1 33.594 (34.383)	Prec@5 62.500 (64.757)
Epoch: [26][6930/14090]	Time 0.763 (0.761)	Data 0.001 (0.001)	Loss 2.5690 (2.7505)	Prec@1 35.938 (34.385)	Prec@5 67.188 (64.760)
Epoch: [26][6940/14090]	Time 0.749 (0.761)	Data 0.001 (0.001)	Loss 2.5841 (2.7505)	Prec@1 42.969 (34.385)	Prec@5 67.188 (64.760)
Epoch: [26][6950/14090]	Time 0.755 (0.761)	Data 0.001 (0.001)	Loss 2.6049 (2.7504)	Prec@1 42.188 (34.390)	Prec@5 68.750 (64.760)
Epoch: [26][6960/14090]	Time 0.767 (0.761)	Data 0.001 (0.001)	Loss 2.5385 (2.7504)	Prec@1 38.281 (34.391)	Prec@5 67.188 (64.761)
Epoch: [26][6970/14090]	Time 0.917 (0.761)	Data 0.001 (0.001)	Loss 2.7529 (2.7504)	Prec@1 28.125 (34.388)	Prec@5 60.938 (64.758)
Epoch: [26][6980/14090]	Time 0.736 (0.761)	Data 0.001 (0.001)	Loss 2.7227 (2.7504)	Prec@1 34.375 (34.387)	Prec@5 65.625 (64.758)
Epoch: [26][6990/14090]	Time 0.728 (0.761)	Data 0.001 (0.001)	Loss 2.9450 (2.7506)	Prec@1 31.250 (34.383)	Prec@5 62.500 (64.753)
Epoch: [26][7000/14090]	Time 0.760 (0.761)	Data 0.001 (0.001)	Loss 2.3511 (2.7505)	Prec@1 40.625 (34.385)	Prec@5 71.875 (64.756)
Epoch: [26][7010/14090]	Time 0.733 (0.761)	Data 0.001 (0.001)	Loss 3.0896 (2.7504)	Prec@1 24.219 (34.386)	Prec@5 57.031 (64.756)
Epoch: [26][7020/14090]	Time 0.756 (0.761)	Data 0.001 (0.001)	Loss 2.8000 (2.7504)	Prec@1 32.812 (34.388)	Prec@5 67.188 (64.758)
Epoch: [26][7030/14090]	Time 0.754 (0.761)	Data 0.001 (0.001)	Loss 2.6548 (2.7505)	Prec@1 34.375 (34.385)	Prec@5 65.625 (64.758)
Epoch: [26][7040/14090]	Time 0.789 (0.761)	Data 0.001 (0.001)	Loss 2.5578 (2.7504)	Prec@1 33.594 (34.386)	Prec@5 67.969 (64.760)
Epoch: [26][7050/14090]	Time 0.775 (0.761)	Data 0.001 (0.001)	Loss 2.9204 (2.7505)	Prec@1 28.906 (34.384)	Prec@5 62.500 (64.757)
Epoch: [26][7060/14090]	Time 0.740 (0.761)	Data 0.001 (0.001)	Loss 2.9287 (2.7507)	Prec@1 25.781 (34.380)	Prec@5 57.812 (64.753)
Epoch: [26][7070/14090]	Time 0.766 (0.761)	Data 0.001 (0.001)	Loss 2.5504 (2.7507)	Prec@1 38.281 (34.379)	Prec@5 69.531 (64.752)
Epoch: [26][7080/14090]	Time 0.763 (0.761)	Data 0.001 (0.001)	Loss 2.6172 (2.7507)	Prec@1 39.062 (34.379)	Prec@5 71.094 (64.751)
Epoch: [26][7090/14090]	Time 0.756 (0.761)	Data 0.001 (0.001)	Loss 2.6166 (2.7508)	Prec@1 35.938 (34.376)	Prec@5 67.969 (64.749)
Epoch: [26][7100/14090]	Time 0.731 (0.761)	Data 0.001 (0.001)	Loss 2.8934 (2.7508)	Prec@1 37.500 (34.374)	Prec@5 64.062 (64.751)
Epoch: [26][7110/14090]	Time 0.790 (0.761)	Data 0.001 (0.001)	Loss 2.8895 (2.7508)	Prec@1 30.469 (34.373)	Prec@5 61.719 (64.751)
Epoch: [26][7120/14090]	Time 0.749 (0.761)	Data 0.001 (0.001)	Loss 2.6009 (2.7509)	Prec@1 32.031 (34.370)	Prec@5 66.406 (64.750)
Epoch: [26][7130/14090]	Time 0.734 (0.761)	Data 0.001 (0.001)	Loss 2.7699 (2.7508)	Prec@1 39.062 (34.372)	Prec@5 66.406 (64.751)
Epoch: [26][7140/14090]	Time 0.755 (0.761)	Data 0.001 (0.001)	Loss 2.5063 (2.7507)	Prec@1 40.625 (34.373)	Prec@5 67.188 (64.750)
Epoch: [26][7150/14090]	Time 0.728 (0.761)	Data 0.001 (0.001)	Loss 2.7152 (2.7506)	Prec@1 35.938 (34.376)	Prec@5 64.844 (64.752)
Epoch: [26][7160/14090]	Time 0.736 (0.761)	Data 0.001 (0.001)	Loss 2.6506 (2.7507)	Prec@1 39.062 (34.375)	Prec@5 64.844 (64.747)
Epoch: [26][7170/14090]	Time 0.739 (0.761)	Data 0.001 (0.001)	Loss 2.4417 (2.7506)	Prec@1 45.312 (34.380)	Prec@5 63.281 (64.748)
Epoch: [26][7180/14090]	Time 0.794 (0.761)	Data 0.001 (0.001)	Loss 2.4485 (2.7506)	Prec@1 39.062 (34.379)	Prec@5 71.875 (64.748)
Epoch: [26][7190/14090]	Time 0.751 (0.761)	Data 0.001 (0.001)	Loss 2.5875 (2.7506)	Prec@1 39.062 (34.381)	Prec@5 68.750 (64.748)
Epoch: [26][7200/14090]	Time 0.721 (0.760)	Data 0.001 (0.001)	Loss 2.5958 (2.7506)	Prec@1 43.750 (34.381)	Prec@5 67.969 (64.747)
Epoch: [26][7210/14090]	Time 0.757 (0.761)	Data 0.001 (0.001)	Loss 2.8720 (2.7506)	Prec@1 29.688 (34.382)	Prec@5 60.156 (64.747)
Epoch: [26][7220/14090]	Time 0.764 (0.760)	Data 0.001 (0.001)	Loss 2.5613 (2.7506)	Prec@1 32.031 (34.382)	Prec@5 66.406 (64.748)
Epoch: [26][7230/14090]	Time 0.778 (0.760)	Data 0.001 (0.001)	Loss 3.0736 (2.7506)	Prec@1 30.469 (34.383)	Prec@5 57.031 (64.748)
Epoch: [26][7240/14090]	Time 0.772 (0.760)	Data 0.003 (0.001)	Loss 2.8281 (2.7505)	Prec@1 32.031 (34.385)	Prec@5 56.250 (64.752)
Epoch: [26][7250/14090]	Time 0.800 (0.760)	Data 0.001 (0.001)	Loss 2.7458 (2.7504)	Prec@1 33.594 (34.388)	Prec@5 67.188 (64.755)
Epoch: [26][7260/14090]	Time 0.740 (0.760)	Data 0.001 (0.001)	Loss 2.6568 (2.7502)	Prec@1 32.812 (34.391)	Prec@5 64.844 (64.758)
Epoch: [26][7270/14090]	Time 0.757 (0.760)	Data 0.001 (0.001)	Loss 2.6112 (2.7501)	Prec@1 36.719 (34.394)	Prec@5 64.844 (64.760)
Epoch: [26][7280/14090]	Time 0.759 (0.760)	Data 0.001 (0.001)	Loss 2.8876 (2.7501)	Prec@1 37.500 (34.393)	Prec@5 63.281 (64.761)
Epoch: [26][7290/14090]	Time 0.730 (0.760)	Data 0.001 (0.001)	Loss 2.7563 (2.7503)	Prec@1 31.250 (34.390)	Prec@5 65.625 (64.757)
Epoch: [26][7300/14090]	Time 0.741 (0.760)	Data 0.001 (0.001)	Loss 2.8248 (2.7501)	Prec@1 31.250 (34.393)	Prec@5 64.062 (64.761)
Epoch: [26][7310/14090]	Time 0.781 (0.760)	Data 0.001 (0.001)	Loss 2.8840 (2.7501)	Prec@1 32.812 (34.394)	Prec@5 61.719 (64.761)
Epoch: [26][7320/14090]	Time 0.765 (0.760)	Data 0.001 (0.001)	Loss 2.5880 (2.7501)	Prec@1 42.969 (34.395)	Prec@5 62.500 (64.759)
Epoch: [26][7330/14090]	Time 0.718 (0.760)	Data 0.001 (0.001)	Loss 2.5008 (2.7500)	Prec@1 40.625 (34.398)	Prec@5 69.531 (64.760)
Epoch: [26][7340/14090]	Time 0.768 (0.760)	Data 0.001 (0.001)	Loss 2.8392 (2.7500)	Prec@1 33.594 (34.397)	Prec@5 65.625 (64.762)
Epoch: [26][7350/14090]	Time 0.764 (0.760)	Data 0.001 (0.001)	Loss 2.6659 (2.7499)	Prec@1 35.938 (34.398)	Prec@5 66.406 (64.761)
Epoch: [26][7360/14090]	Time 0.740 (0.760)	Data 0.001 (0.001)	Loss 2.7334 (2.7500)	Prec@1 38.281 (34.397)	Prec@5 64.062 (64.761)
Epoch: [26][7370/14090]	Time 0.756 (0.760)	Data 0.001 (0.001)	Loss 2.7442 (2.7501)	Prec@1 32.031 (34.397)	Prec@5 62.500 (64.759)
Epoch: [26][7380/14090]	Time 0.736 (0.760)	Data 0.001 (0.001)	Loss 2.8447 (2.7500)	Prec@1 35.156 (34.398)	Prec@5 61.719 (64.762)
Epoch: [26][7390/14090]	Time 0.971 (0.760)	Data 0.001 (0.001)	Loss 2.7187 (2.7499)	Prec@1 35.156 (34.402)	Prec@5 64.062 (64.763)
Epoch: [26][7400/14090]	Time 0.737 (0.761)	Data 0.001 (0.001)	Loss 2.2420 (2.7499)	Prec@1 45.312 (34.403)	Prec@5 77.344 (64.763)
Epoch: [26][7410/14090]	Time 0.735 (0.760)	Data 0.001 (0.001)	Loss 2.8409 (2.7499)	Prec@1 35.156 (34.405)	Prec@5 62.500 (64.764)
Epoch: [26][7420/14090]	Time 0.742 (0.760)	Data 0.001 (0.001)	Loss 2.7839 (2.7498)	Prec@1 36.719 (34.409)	Prec@5 62.500 (64.766)
Epoch: [26][7430/14090]	Time 0.738 (0.760)	Data 0.001 (0.001)	Loss 2.6219 (2.7498)	Prec@1 37.500 (34.409)	Prec@5 64.844 (64.766)
Epoch: [26][7440/14090]	Time 0.787 (0.760)	Data 0.001 (0.001)	Loss 2.2934 (2.7497)	Prec@1 38.281 (34.409)	Prec@5 72.656 (64.766)
Epoch: [26][7450/14090]	Time 0.727 (0.760)	Data 0.001 (0.001)	Loss 2.4016 (2.7498)	Prec@1 41.406 (34.408)	Prec@5 72.656 (64.765)
Epoch: [26][7460/14090]	Time 0.783 (0.760)	Data 0.001 (0.001)	Loss 2.4704 (2.7497)	Prec@1 37.500 (34.409)	Prec@5 73.438 (64.768)
Epoch: [26][7470/14090]	Time 0.733 (0.760)	Data 0.001 (0.001)	Loss 3.0617 (2.7498)	Prec@1 33.594 (34.408)	Prec@5 61.719 (64.766)
Epoch: [26][7480/14090]	Time 0.748 (0.760)	Data 0.001 (0.001)	Loss 2.7212 (2.7497)	Prec@1 36.719 (34.410)	Prec@5 64.844 (64.768)
Epoch: [26][7490/14090]	Time 0.725 (0.760)	Data 0.001 (0.001)	Loss 2.6449 (2.7497)	Prec@1 37.500 (34.413)	Prec@5 66.406 (64.766)
Epoch: [26][7500/14090]	Time 0.770 (0.760)	Data 0.001 (0.001)	Loss 2.9757 (2.7498)	Prec@1 31.250 (34.411)	Prec@5 59.375 (64.763)
Epoch: [26][7510/14090]	Time 0.782 (0.760)	Data 0.001 (0.001)	Loss 2.9394 (2.7498)	Prec@1 31.250 (34.408)	Prec@5 63.281 (64.762)
Epoch: [26][7520/14090]	Time 0.749 (0.760)	Data 0.001 (0.001)	Loss 2.6402 (2.7498)	Prec@1 38.281 (34.412)	Prec@5 64.844 (64.762)
Epoch: [26][7530/14090]	Time 0.856 (0.760)	Data 0.001 (0.001)	Loss 2.7880 (2.7499)	Prec@1 38.281 (34.410)	Prec@5 67.969 (64.761)
Epoch: [26][7540/14090]	Time 0.755 (0.760)	Data 0.001 (0.001)	Loss 2.7532 (2.7499)	Prec@1 28.906 (34.408)	Prec@5 63.281 (64.759)
Epoch: [26][7550/14090]	Time 0.747 (0.760)	Data 0.001 (0.001)	Loss 2.8725 (2.7499)	Prec@1 32.812 (34.407)	Prec@5 60.938 (64.760)
Epoch: [26][7560/14090]	Time 0.742 (0.760)	Data 0.001 (0.001)	Loss 2.7951 (2.7499)	Prec@1 31.250 (34.407)	Prec@5 61.719 (64.760)
Epoch: [26][7570/14090]	Time 0.731 (0.760)	Data 0.001 (0.001)	Loss 2.8087 (2.7498)	Prec@1 32.031 (34.407)	Prec@5 67.188 (64.761)
Epoch: [26][7580/14090]	Time 0.762 (0.760)	Data 0.001 (0.001)	Loss 2.7778 (2.7498)	Prec@1 33.594 (34.407)	Prec@5 67.969 (64.761)
Epoch: [26][7590/14090]	Time 0.785 (0.760)	Data 0.001 (0.001)	Loss 2.7417 (2.7499)	Prec@1 32.031 (34.406)	Prec@5 68.750 (64.762)
Epoch: [26][7600/14090]	Time 0.789 (0.760)	Data 0.001 (0.001)	Loss 3.1329 (2.7500)	Prec@1 26.562 (34.404)	Prec@5 56.250 (64.759)
Epoch: [26][7610/14090]	Time 0.764 (0.760)	Data 0.001 (0.001)	Loss 2.6441 (2.7499)	Prec@1 35.938 (34.405)	Prec@5 67.969 (64.759)
Epoch: [26][7620/14090]	Time 0.746 (0.760)	Data 0.001 (0.001)	Loss 2.8468 (2.7498)	Prec@1 34.375 (34.407)	Prec@5 65.625 (64.761)
Epoch: [26][7630/14090]	Time 0.770 (0.760)	Data 0.001 (0.001)	Loss 2.7681 (2.7498)	Prec@1 36.719 (34.406)	Prec@5 63.281 (64.760)
Epoch: [26][7640/14090]	Time 0.764 (0.760)	Data 0.001 (0.001)	Loss 2.7559 (2.7498)	Prec@1 35.938 (34.405)	Prec@5 62.500 (64.761)
Epoch: [26][7650/14090]	Time 0.767 (0.760)	Data 0.001 (0.001)	Loss 2.6038 (2.7499)	Prec@1 37.500 (34.405)	Prec@5 65.625 (64.759)
Epoch: [26][7660/14090]	Time 0.760 (0.760)	Data 0.001 (0.001)	Loss 2.5419 (2.7499)	Prec@1 35.156 (34.403)	Prec@5 70.312 (64.759)
Epoch: [26][7670/14090]	Time 0.798 (0.760)	Data 0.001 (0.001)	Loss 2.8929 (2.7500)	Prec@1 28.906 (34.402)	Prec@5 63.281 (64.757)
Epoch: [26][7680/14090]	Time 0.762 (0.760)	Data 0.001 (0.001)	Loss 2.5071 (2.7501)	Prec@1 35.156 (34.398)	Prec@5 66.406 (64.754)
Epoch: [26][7690/14090]	Time 0.781 (0.760)	Data 0.001 (0.001)	Loss 2.9477 (2.7501)	Prec@1 35.938 (34.400)	Prec@5 57.031 (64.752)
Epoch: [26][7700/14090]	Time 0.752 (0.760)	Data 0.001 (0.001)	Loss 2.7765 (2.7502)	Prec@1 32.812 (34.400)	Prec@5 63.281 (64.751)
Epoch: [26][7710/14090]	Time 0.734 (0.760)	Data 0.001 (0.001)	Loss 2.6085 (2.7503)	Prec@1 36.719 (34.397)	Prec@5 70.312 (64.751)
Epoch: [26][7720/14090]	Time 0.759 (0.760)	Data 0.001 (0.001)	Loss 3.0371 (2.7505)	Prec@1 27.344 (34.395)	Prec@5 57.031 (64.748)
Epoch: [26][7730/14090]	Time 0.742 (0.760)	Data 0.001 (0.001)	Loss 2.9894 (2.7504)	Prec@1 32.812 (34.397)	Prec@5 57.812 (64.748)
Epoch: [26][7740/14090]	Time 0.805 (0.760)	Data 0.001 (0.001)	Loss 2.8907 (2.7503)	Prec@1 34.375 (34.400)	Prec@5 60.156 (64.747)
Epoch: [26][7750/14090]	Time 0.746 (0.760)	Data 0.001 (0.001)	Loss 2.5094 (2.7504)	Prec@1 41.406 (34.402)	Prec@5 67.188 (64.746)
Epoch: [26][7760/14090]	Time 0.722 (0.760)	Data 0.001 (0.001)	Loss 2.7239 (2.7504)	Prec@1 38.281 (34.404)	Prec@5 64.844 (64.744)
Epoch: [26][7770/14090]	Time 0.736 (0.760)	Data 0.001 (0.001)	Loss 2.8331 (2.7504)	Prec@1 32.031 (34.402)	Prec@5 62.500 (64.742)
Epoch: [26][7780/14090]	Time 0.765 (0.760)	Data 0.001 (0.001)	Loss 3.0230 (2.7506)	Prec@1 30.469 (34.401)	Prec@5 55.469 (64.740)
Epoch: [26][7790/14090]	Time 0.741 (0.760)	Data 0.001 (0.001)	Loss 2.9856 (2.7506)	Prec@1 31.250 (34.401)	Prec@5 60.938 (64.740)
Epoch: [26][7800/14090]	Time 0.760 (0.760)	Data 0.001 (0.001)	Loss 2.6855 (2.7505)	Prec@1 38.281 (34.404)	Prec@5 63.281 (64.742)
Epoch: [26][7810/14090]	Time 0.832 (0.760)	Data 0.001 (0.001)	Loss 2.8474 (2.7506)	Prec@1 32.031 (34.401)	Prec@5 66.406 (64.744)
Epoch: [26][7820/14090]	Time 0.743 (0.760)	Data 0.001 (0.001)	Loss 2.8189 (2.7506)	Prec@1 36.719 (34.400)	Prec@5 64.844 (64.745)
Epoch: [26][7830/14090]	Time 0.755 (0.760)	Data 0.001 (0.001)	Loss 2.7738 (2.7504)	Prec@1 25.781 (34.400)	Prec@5 66.406 (64.748)
Epoch: [26][7840/14090]	Time 0.759 (0.760)	Data 0.001 (0.001)	Loss 2.6776 (2.7504)	Prec@1 36.719 (34.402)	Prec@5 64.844 (64.750)
Epoch: [26][7850/14090]	Time 0.745 (0.760)	Data 0.001 (0.001)	Loss 2.7715 (2.7503)	Prec@1 35.938 (34.403)	Prec@5 67.188 (64.752)
Epoch: [26][7860/14090]	Time 0.743 (0.760)	Data 0.001 (0.001)	Loss 2.9270 (2.7503)	Prec@1 32.812 (34.405)	Prec@5 64.062 (64.750)
Epoch: [26][7870/14090]	Time 0.740 (0.760)	Data 0.001 (0.001)	Loss 2.6083 (2.7502)	Prec@1 40.625 (34.408)	Prec@5 66.406 (64.750)
Epoch: [26][7880/14090]	Time 0.821 (0.760)	Data 0.001 (0.001)	Loss 2.9023 (2.7503)	Prec@1 34.375 (34.409)	Prec@5 64.062 (64.752)
Epoch: [26][7890/14090]	Time 0.749 (0.760)	Data 0.001 (0.001)	Loss 2.8144 (2.7502)	Prec@1 35.156 (34.409)	Prec@5 60.156 (64.754)
Epoch: [26][7900/14090]	Time 0.765 (0.760)	Data 0.001 (0.001)	Loss 2.4021 (2.7502)	Prec@1 42.969 (34.409)	Prec@5 73.438 (64.754)
Epoch: [26][7910/14090]	Time 0.759 (0.760)	Data 0.001 (0.001)	Loss 2.9455 (2.7502)	Prec@1 29.688 (34.406)	Prec@5 57.812 (64.754)
Epoch: [26][7920/14090]	Time 0.747 (0.760)	Data 0.001 (0.001)	Loss 2.8307 (2.7502)	Prec@1 39.062 (34.407)	Prec@5 66.406 (64.755)
Epoch: [26][7930/14090]	Time 0.737 (0.760)	Data 0.001 (0.001)	Loss 2.8858 (2.7500)	Prec@1 32.031 (34.410)	Prec@5 60.156 (64.759)
Epoch: [26][7940/14090]	Time 0.751 (0.760)	Data 0.001 (0.001)	Loss 2.9173 (2.7500)	Prec@1 34.375 (34.414)	Prec@5 63.281 (64.760)
Epoch: [26][7950/14090]	Time 0.800 (0.760)	Data 0.001 (0.001)	Loss 2.8349 (2.7500)	Prec@1 32.031 (34.414)	Prec@5 66.406 (64.760)
Epoch: [26][7960/14090]	Time 0.733 (0.760)	Data 0.001 (0.001)	Loss 2.7058 (2.7500)	Prec@1 36.719 (34.415)	Prec@5 65.625 (64.760)
Epoch: [26][7970/14090]	Time 0.734 (0.760)	Data 0.001 (0.001)	Loss 2.8990 (2.7501)	Prec@1 35.156 (34.414)	Prec@5 63.281 (64.758)
Epoch: [26][7980/14090]	Time 0.744 (0.760)	Data 0.001 (0.001)	Loss 2.6990 (2.7502)	Prec@1 32.031 (34.413)	Prec@5 67.969 (64.757)
Epoch: [26][7990/14090]	Time 0.761 (0.760)	Data 0.001 (0.001)	Loss 2.7718 (2.7501)	Prec@1 31.250 (34.414)	Prec@5 64.844 (64.758)
Epoch: [26][8000/14090]	Time 0.731 (0.760)	Data 0.001 (0.001)	Loss 2.5480 (2.7500)	Prec@1 37.500 (34.414)	Prec@5 65.625 (64.758)
Epoch: [26][8010/14090]	Time 0.729 (0.760)	Data 0.001 (0.001)	Loss 2.8337 (2.7500)	Prec@1 35.156 (34.415)	Prec@5 65.625 (64.758)
Epoch: [26][8020/14090]	Time 0.794 (0.760)	Data 0.001 (0.001)	Loss 2.9425 (2.7501)	Prec@1 32.812 (34.414)	Prec@5 63.281 (64.756)
Epoch: [26][8030/14090]	Time 0.757 (0.760)	Data 0.003 (0.001)	Loss 2.7860 (2.7501)	Prec@1 41.406 (34.413)	Prec@5 64.062 (64.756)
Epoch: [26][8040/14090]	Time 0.731 (0.760)	Data 0.001 (0.001)	Loss 2.6529 (2.7501)	Prec@1 32.031 (34.412)	Prec@5 65.625 (64.756)
Epoch: [26][8050/14090]	Time 0.738 (0.760)	Data 0.001 (0.001)	Loss 2.4986 (2.7501)	Prec@1 38.281 (34.414)	Prec@5 68.750 (64.757)
Epoch: [26][8060/14090]	Time 0.736 (0.760)	Data 0.001 (0.001)	Loss 2.6694 (2.7500)	Prec@1 31.250 (34.413)	Prec@5 66.406 (64.757)
Epoch: [26][8070/14090]	Time 0.762 (0.760)	Data 0.001 (0.001)	Loss 2.4058 (2.7499)	Prec@1 42.188 (34.416)	Prec@5 73.438 (64.760)
Epoch: [26][8080/14090]	Time 0.733 (0.760)	Data 0.001 (0.001)	Loss 2.7360 (2.7500)	Prec@1 39.844 (34.417)	Prec@5 64.844 (64.760)
Epoch: [26][8090/14090]	Time 0.807 (0.760)	Data 0.001 (0.001)	Loss 2.7511 (2.7499)	Prec@1 35.938 (34.418)	Prec@5 64.062 (64.760)
Epoch: [26][8100/14090]	Time 0.781 (0.760)	Data 0.001 (0.001)	Loss 2.8853 (2.7499)	Prec@1 29.688 (34.417)	Prec@5 59.375 (64.762)
Epoch: [26][8110/14090]	Time 0.745 (0.760)	Data 0.001 (0.001)	Loss 2.7236 (2.7498)	Prec@1 37.500 (34.420)	Prec@5 62.500 (64.763)
Epoch: [26][8120/14090]	Time 0.790 (0.760)	Data 0.001 (0.001)	Loss 2.8089 (2.7498)	Prec@1 37.500 (34.421)	Prec@5 61.719 (64.763)
Epoch: [26][8130/14090]	Time 0.761 (0.760)	Data 0.001 (0.001)	Loss 2.9674 (2.7498)	Prec@1 33.594 (34.419)	Prec@5 58.594 (64.763)
Epoch: [26][8140/14090]	Time 0.754 (0.760)	Data 0.001 (0.001)	Loss 3.0550 (2.7499)	Prec@1 28.125 (34.416)	Prec@5 59.375 (64.761)
Epoch: [26][8150/14090]	Time 0.773 (0.760)	Data 0.001 (0.001)	Loss 2.7497 (2.7499)	Prec@1 36.719 (34.416)	Prec@5 61.719 (64.761)
Epoch: [26][8160/14090]	Time 0.811 (0.760)	Data 0.001 (0.001)	Loss 2.4033 (2.7499)	Prec@1 47.656 (34.416)	Prec@5 70.312 (64.760)
Epoch: [26][8170/14090]	Time 0.749 (0.760)	Data 0.001 (0.001)	Loss 2.8439 (2.7499)	Prec@1 35.156 (34.418)	Prec@5 70.312 (64.761)
Epoch: [26][8180/14090]	Time 0.747 (0.760)	Data 0.001 (0.001)	Loss 2.7504 (2.7498)	Prec@1 31.250 (34.418)	Prec@5 64.062 (64.762)
Epoch: [26][8190/14090]	Time 0.760 (0.760)	Data 0.001 (0.001)	Loss 2.4863 (2.7497)	Prec@1 36.719 (34.419)	Prec@5 69.531 (64.765)
Epoch: [26][8200/14090]	Time 0.733 (0.760)	Data 0.001 (0.001)	Loss 2.3629 (2.7497)	Prec@1 40.625 (34.420)	Prec@5 73.438 (64.765)
Epoch: [26][8210/14090]	Time 0.768 (0.760)	Data 0.001 (0.001)	Loss 2.8616 (2.7497)	Prec@1 31.250 (34.418)	Prec@5 63.281 (64.764)
Epoch: [26][8220/14090]	Time 0.733 (0.760)	Data 0.001 (0.001)	Loss 2.9063 (2.7498)	Prec@1 32.031 (34.417)	Prec@5 58.594 (64.762)
Epoch: [26][8230/14090]	Time 0.804 (0.760)	Data 0.001 (0.001)	Loss 2.6373 (2.7499)	Prec@1 36.719 (34.415)	Prec@5 71.094 (64.760)
Epoch: [26][8240/14090]	Time 0.756 (0.760)	Data 0.001 (0.001)	Loss 2.5247 (2.7498)	Prec@1 43.750 (34.418)	Prec@5 69.531 (64.764)
Epoch: [26][8250/14090]	Time 0.754 (0.760)	Data 0.001 (0.001)	Loss 2.6541 (2.7495)	Prec@1 37.500 (34.422)	Prec@5 64.844 (64.768)
Epoch: [26][8260/14090]	Time 0.739 (0.760)	Data 0.001 (0.001)	Loss 2.6858 (2.7494)	Prec@1 39.844 (34.425)	Prec@5 63.281 (64.770)
Epoch: [26][8270/14090]	Time 0.747 (0.760)	Data 0.002 (0.001)	Loss 2.6311 (2.7494)	Prec@1 42.188 (34.425)	Prec@5 63.281 (64.769)
Epoch: [26][8280/14090]	Time 0.750 (0.760)	Data 0.001 (0.001)	Loss 2.6750 (2.7494)	Prec@1 36.719 (34.426)	Prec@5 63.281 (64.770)
Epoch: [26][8290/14090]	Time 0.753 (0.760)	Data 0.001 (0.001)	Loss 2.7485 (2.7493)	Prec@1 30.469 (34.427)	Prec@5 67.969 (64.771)
Epoch: [26][8300/14090]	Time 0.801 (0.760)	Data 0.001 (0.001)	Loss 2.7489 (2.7491)	Prec@1 38.281 (34.432)	Prec@5 66.406 (64.773)
Epoch: [26][8310/14090]	Time 0.749 (0.760)	Data 0.001 (0.001)	Loss 2.5364 (2.7491)	Prec@1 37.500 (34.432)	Prec@5 68.750 (64.775)
Epoch: [26][8320/14090]	Time 0.725 (0.760)	Data 0.001 (0.001)	Loss 2.5293 (2.7491)	Prec@1 37.500 (34.431)	Prec@5 71.094 (64.774)
Epoch: [26][8330/14090]	Time 0.735 (0.760)	Data 0.001 (0.001)	Loss 2.8543 (2.7490)	Prec@1 27.344 (34.432)	Prec@5 64.844 (64.774)
Epoch: [26][8340/14090]	Time 0.722 (0.760)	Data 0.001 (0.001)	Loss 2.7740 (2.7491)	Prec@1 36.719 (34.431)	Prec@5 62.500 (64.773)
Epoch: [26][8350/14090]	Time 0.757 (0.760)	Data 0.001 (0.001)	Loss 2.8316 (2.7491)	Prec@1 33.594 (34.434)	Prec@5 67.188 (64.774)
Epoch: [26][8360/14090]	Time 0.754 (0.760)	Data 0.001 (0.001)	Loss 2.6738 (2.7491)	Prec@1 39.844 (34.435)	Prec@5 65.625 (64.774)
Epoch: [26][8370/14090]	Time 0.809 (0.760)	Data 0.001 (0.001)	Loss 2.6835 (2.7490)	Prec@1 35.156 (34.435)	Prec@5 62.500 (64.776)
Epoch: [26][8380/14090]	Time 0.783 (0.760)	Data 0.001 (0.001)	Loss 2.6955 (2.7490)	Prec@1 36.719 (34.437)	Prec@5 68.750 (64.777)
Epoch: [26][8390/14090]	Time 0.766 (0.760)	Data 0.001 (0.001)	Loss 2.9824 (2.7491)	Prec@1 26.562 (34.436)	Prec@5 60.938 (64.776)
Epoch: [26][8400/14090]	Time 0.761 (0.760)	Data 0.001 (0.001)	Loss 2.9341 (2.7491)	Prec@1 30.469 (34.435)	Prec@5 60.938 (64.775)
Epoch: [26][8410/14090]	Time 0.742 (0.760)	Data 0.001 (0.001)	Loss 2.9455 (2.7492)	Prec@1 30.469 (34.434)	Prec@5 61.719 (64.775)
Epoch: [26][8420/14090]	Time 0.754 (0.760)	Data 0.001 (0.001)	Loss 2.8355 (2.7493)	Prec@1 32.812 (34.435)	Prec@5 60.156 (64.773)
Epoch: [26][8430/14090]	Time 0.763 (0.760)	Data 0.001 (0.001)	Loss 2.6961 (2.7493)	Prec@1 39.062 (34.437)	Prec@5 67.969 (64.774)
Epoch: [26][8440/14090]	Time 0.807 (0.760)	Data 0.001 (0.001)	Loss 2.7073 (2.7493)	Prec@1 37.500 (34.436)	Prec@5 65.625 (64.775)
Epoch: [26][8450/14090]	Time 0.757 (0.760)	Data 0.002 (0.001)	Loss 2.6726 (2.7493)	Prec@1 34.375 (34.435)	Prec@5 66.406 (64.775)
Epoch: [26][8460/14090]	Time 0.755 (0.760)	Data 0.001 (0.001)	Loss 2.8415 (2.7493)	Prec@1 28.906 (34.434)	Prec@5 63.281 (64.774)
Epoch: [26][8470/14090]	Time 0.742 (0.760)	Data 0.001 (0.001)	Loss 2.3758 (2.7493)	Prec@1 40.625 (34.434)	Prec@5 72.656 (64.774)
Epoch: [26][8480/14090]	Time 0.742 (0.760)	Data 0.001 (0.001)	Loss 2.7233 (2.7493)	Prec@1 33.594 (34.433)	Prec@5 63.281 (64.772)
Epoch: [26][8490/14090]	Time 0.744 (0.760)	Data 0.001 (0.001)	Loss 3.0894 (2.7495)	Prec@1 31.250 (34.430)	Prec@5 60.938 (64.771)
Epoch: [26][8500/14090]	Time 0.762 (0.760)	Data 0.001 (0.001)	Loss 2.3902 (2.7494)	Prec@1 40.625 (34.430)	Prec@5 74.219 (64.773)
Epoch: [26][8510/14090]	Time 0.800 (0.760)	Data 0.001 (0.001)	Loss 3.0490 (2.7493)	Prec@1 26.562 (34.430)	Prec@5 63.281 (64.775)
Epoch: [26][8520/14090]	Time 0.773 (0.760)	Data 0.001 (0.001)	Loss 2.4604 (2.7492)	Prec@1 38.281 (34.432)	Prec@5 68.750 (64.776)
Epoch: [26][8530/14090]	Time 0.746 (0.760)	Data 0.001 (0.001)	Loss 2.6347 (2.7494)	Prec@1 37.500 (34.428)	Prec@5 66.406 (64.774)
Epoch: [26][8540/14090]	Time 0.758 (0.760)	Data 0.001 (0.001)	Loss 2.4797 (2.7493)	Prec@1 42.188 (34.429)	Prec@5 72.656 (64.775)
Epoch: [26][8550/14090]	Time 0.753 (0.760)	Data 0.001 (0.001)	Loss 2.7568 (2.7493)	Prec@1 33.594 (34.428)	Prec@5 64.062 (64.773)
Epoch: [26][8560/14090]	Time 0.760 (0.760)	Data 0.001 (0.001)	Loss 2.5776 (2.7494)	Prec@1 35.938 (34.428)	Prec@5 70.312 (64.772)
Epoch: [26][8570/14090]	Time 0.744 (0.760)	Data 0.001 (0.001)	Loss 2.5799 (2.7493)	Prec@1 39.062 (34.430)	Prec@5 70.312 (64.774)
Epoch: [26][8580/14090]	Time 0.818 (0.760)	Data 0.002 (0.001)	Loss 2.6708 (2.7492)	Prec@1 36.719 (34.430)	Prec@5 61.719 (64.775)
Epoch: [26][8590/14090]	Time 0.748 (0.760)	Data 0.001 (0.001)	Loss 2.5035 (2.7492)	Prec@1 32.812 (34.432)	Prec@5 68.750 (64.777)
Epoch: [26][8600/14090]	Time 0.731 (0.760)	Data 0.001 (0.001)	Loss 2.8483 (2.7492)	Prec@1 35.938 (34.433)	Prec@5 64.844 (64.777)
Epoch: [26][8610/14090]	Time 0.749 (0.760)	Data 0.001 (0.001)	Loss 2.4311 (2.7492)	Prec@1 39.844 (34.433)	Prec@5 72.656 (64.778)
Epoch: [26][8620/14090]	Time 0.771 (0.760)	Data 0.001 (0.001)	Loss 2.8182 (2.7492)	Prec@1 29.688 (34.431)	Prec@5 64.844 (64.779)
Epoch: [26][8630/14090]	Time 0.772 (0.760)	Data 0.001 (0.001)	Loss 2.7899 (2.7493)	Prec@1 32.812 (34.431)	Prec@5 63.281 (64.777)
Epoch: [26][8640/14090]	Time 0.744 (0.760)	Data 0.001 (0.001)	Loss 2.7335 (2.7493)	Prec@1 33.594 (34.429)	Prec@5 60.938 (64.775)
Epoch: [26][8650/14090]	Time 0.817 (0.760)	Data 0.001 (0.001)	Loss 2.6741 (2.7493)	Prec@1 37.500 (34.429)	Prec@5 65.625 (64.775)
Epoch: [26][8660/14090]	Time 0.756 (0.760)	Data 0.001 (0.001)	Loss 2.9221 (2.7493)	Prec@1 27.344 (34.428)	Prec@5 65.625 (64.775)
Epoch: [26][8670/14090]	Time 0.781 (0.760)	Data 0.001 (0.001)	Loss 2.6874 (2.7493)	Prec@1 34.375 (34.429)	Prec@5 61.719 (64.775)
Epoch: [26][8680/14090]	Time 0.736 (0.760)	Data 0.001 (0.001)	Loss 2.7246 (2.7493)	Prec@1 35.938 (34.430)	Prec@5 67.188 (64.775)
Epoch: [26][8690/14090]	Time 0.758 (0.760)	Data 0.001 (0.001)	Loss 2.7448 (2.7493)	Prec@1 34.375 (34.429)	Prec@5 62.500 (64.776)
Epoch: [26][8700/14090]	Time 0.746 (0.760)	Data 0.001 (0.001)	Loss 2.8276 (2.7492)	Prec@1 33.594 (34.431)	Prec@5 62.500 (64.777)
Epoch: [26][8710/14090]	Time 0.750 (0.760)	Data 0.001 (0.001)	Loss 2.4909 (2.7491)	Prec@1 36.719 (34.431)	Prec@5 71.094 (64.779)
Epoch: [26][8720/14090]	Time 0.773 (0.760)	Data 0.001 (0.001)	Loss 2.9163 (2.7492)	Prec@1 29.688 (34.428)	Prec@5 61.719 (64.777)
Epoch: [26][8730/14090]	Time 0.732 (0.760)	Data 0.001 (0.001)	Loss 2.6957 (2.7491)	Prec@1 35.156 (34.430)	Prec@5 61.719 (64.778)
Epoch: [26][8740/14090]	Time 0.771 (0.760)	Data 0.001 (0.001)	Loss 2.8449 (2.7493)	Prec@1 35.156 (34.428)	Prec@5 67.188 (64.777)
Epoch: [26][8750/14090]	Time 0.763 (0.760)	Data 0.001 (0.001)	Loss 2.8974 (2.7493)	Prec@1 29.688 (34.426)	Prec@5 60.938 (64.777)
Epoch: [26][8760/14090]	Time 0.742 (0.760)	Data 0.001 (0.001)	Loss 2.6923 (2.7493)	Prec@1 39.062 (34.427)	Prec@5 67.188 (64.777)
Epoch: [26][8770/14090]	Time 0.763 (0.760)	Data 0.001 (0.001)	Loss 2.7835 (2.7494)	Prec@1 31.250 (34.425)	Prec@5 65.625 (64.774)
Epoch: [26][8780/14090]	Time 0.733 (0.760)	Data 0.002 (0.001)	Loss 2.5148 (2.7494)	Prec@1 41.406 (34.426)	Prec@5 69.531 (64.775)
Epoch: [26][8790/14090]	Time 0.774 (0.760)	Data 0.001 (0.001)	Loss 2.7170 (2.7493)	Prec@1 40.625 (34.427)	Prec@5 61.719 (64.776)
Epoch: [26][8800/14090]	Time 0.729 (0.760)	Data 0.001 (0.001)	Loss 2.6595 (2.7493)	Prec@1 36.719 (34.427)	Prec@5 64.844 (64.778)
Epoch: [26][8810/14090]	Time 0.773 (0.760)	Data 0.001 (0.001)	Loss 2.7690 (2.7493)	Prec@1 32.812 (34.426)	Prec@5 63.281 (64.776)
Epoch: [26][8820/14090]	Time 0.755 (0.760)	Data 0.001 (0.001)	Loss 2.8890 (2.7493)	Prec@1 29.688 (34.425)	Prec@5 60.938 (64.774)
Epoch: [26][8830/14090]	Time 0.731 (0.760)	Data 0.001 (0.001)	Loss 2.4770 (2.7493)	Prec@1 42.188 (34.425)	Prec@5 70.312 (64.773)
Epoch: [26][8840/14090]	Time 0.763 (0.760)	Data 0.001 (0.001)	Loss 2.8663 (2.7493)	Prec@1 34.375 (34.427)	Prec@5 65.625 (64.774)
Epoch: [26][8850/14090]	Time 0.741 (0.760)	Data 0.001 (0.001)	Loss 2.7976 (2.7493)	Prec@1 28.906 (34.427)	Prec@5 67.969 (64.775)
Epoch: [26][8860/14090]	Time 0.805 (0.760)	Data 0.001 (0.001)	Loss 2.4652 (2.7492)	Prec@1 34.375 (34.429)	Prec@5 71.094 (64.774)
Epoch: [26][8870/14090]	Time 0.724 (0.760)	Data 0.001 (0.001)	Loss 2.9580 (2.7493)	Prec@1 26.562 (34.426)	Prec@5 64.844 (64.774)
Epoch: [26][8880/14090]	Time 0.739 (0.760)	Data 0.001 (0.001)	Loss 2.6125 (2.7492)	Prec@1 31.250 (34.425)	Prec@5 73.438 (64.776)
Epoch: [26][8890/14090]	Time 0.729 (0.760)	Data 0.001 (0.001)	Loss 2.4380 (2.7492)	Prec@1 40.625 (34.425)	Prec@5 71.094 (64.776)
Epoch: [26][8900/14090]	Time 0.742 (0.760)	Data 0.001 (0.001)	Loss 3.0515 (2.7492)	Prec@1 26.562 (34.424)	Prec@5 57.812 (64.775)
Epoch: [26][8910/14090]	Time 0.746 (0.760)	Data 0.001 (0.001)	Loss 2.9190 (2.7491)	Prec@1 33.594 (34.425)	Prec@5 64.844 (64.778)
Epoch: [26][8920/14090]	Time 0.737 (0.760)	Data 0.001 (0.001)	Loss 2.9717 (2.7492)	Prec@1 28.125 (34.421)	Prec@5 57.812 (64.776)
Epoch: [26][8930/14090]	Time 0.841 (0.760)	Data 0.001 (0.001)	Loss 2.5535 (2.7491)	Prec@1 37.500 (34.422)	Prec@5 69.531 (64.778)
Epoch: [26][8940/14090]	Time 0.785 (0.760)	Data 0.001 (0.001)	Loss 2.6185 (2.7490)	Prec@1 37.500 (34.422)	Prec@5 63.281 (64.780)
Epoch: [26][8950/14090]	Time 0.787 (0.760)	Data 0.001 (0.001)	Loss 2.4743 (2.7490)	Prec@1 39.844 (34.423)	Prec@5 70.312 (64.780)
Epoch: [26][8960/14090]	Time 0.760 (0.760)	Data 0.001 (0.001)	Loss 2.7812 (2.7489)	Prec@1 32.812 (34.424)	Prec@5 66.406 (64.784)
Epoch: [26][8970/14090]	Time 0.738 (0.760)	Data 0.001 (0.001)	Loss 2.6053 (2.7489)	Prec@1 33.594 (34.422)	Prec@5 66.406 (64.782)
Epoch: [26][8980/14090]	Time 0.733 (0.760)	Data 0.001 (0.001)	Loss 2.9631 (2.7490)	Prec@1 32.031 (34.423)	Prec@5 56.250 (64.779)
Epoch: [26][8990/14090]	Time 0.731 (0.760)	Data 0.001 (0.001)	Loss 2.6542 (2.7490)	Prec@1 32.812 (34.422)	Prec@5 68.750 (64.780)
Epoch: [26][9000/14090]	Time 0.791 (0.760)	Data 0.001 (0.001)	Loss 2.9394 (2.7490)	Prec@1 31.250 (34.420)	Prec@5 58.594 (64.779)
Epoch: [26][9010/14090]	Time 0.731 (0.760)	Data 0.001 (0.001)	Loss 2.5685 (2.7490)	Prec@1 36.719 (34.419)	Prec@5 72.656 (64.778)
Epoch: [26][9020/14090]	Time 0.737 (0.760)	Data 0.001 (0.001)	Loss 2.6259 (2.7489)	Prec@1 31.250 (34.420)	Prec@5 66.406 (64.780)
Epoch: [26][9030/14090]	Time 0.750 (0.760)	Data 0.001 (0.001)	Loss 2.7149 (2.7488)	Prec@1 35.156 (34.421)	Prec@5 65.625 (64.782)
Epoch: [26][9040/14090]	Time 0.740 (0.760)	Data 0.001 (0.001)	Loss 2.8768 (2.7490)	Prec@1 30.469 (34.419)	Prec@5 64.062 (64.779)
Epoch: [26][9050/14090]	Time 0.751 (0.760)	Data 0.001 (0.001)	Loss 2.8369 (2.7491)	Prec@1 34.375 (34.419)	Prec@5 66.406 (64.779)
Epoch: [26][9060/14090]	Time 0.748 (0.760)	Data 0.001 (0.001)	Loss 2.5798 (2.7491)	Prec@1 39.062 (34.417)	Prec@5 70.312 (64.778)
Epoch: [26][9070/14090]	Time 0.775 (0.760)	Data 0.001 (0.001)	Loss 2.9831 (2.7492)	Prec@1 30.469 (34.416)	Prec@5 57.031 (64.776)
Epoch: [26][9080/14090]	Time 0.785 (0.760)	Data 0.001 (0.001)	Loss 2.7046 (2.7492)	Prec@1 33.594 (34.417)	Prec@5 64.844 (64.773)
Epoch: [26][9090/14090]	Time 0.728 (0.760)	Data 0.001 (0.001)	Loss 3.3461 (2.7492)	Prec@1 25.000 (34.417)	Prec@5 52.344 (64.771)
Epoch: [26][9100/14090]	Time 0.756 (0.760)	Data 0.001 (0.001)	Loss 3.0760 (2.7492)	Prec@1 30.469 (34.416)	Prec@5 54.688 (64.772)
Epoch: [26][9110/14090]	Time 0.765 (0.760)	Data 0.001 (0.001)	Loss 2.7202 (2.7492)	Prec@1 32.031 (34.416)	Prec@5 62.500 (64.773)
Epoch: [26][9120/14090]	Time 0.752 (0.760)	Data 0.001 (0.001)	Loss 2.7266 (2.7492)	Prec@1 38.281 (34.415)	Prec@5 62.500 (64.773)
Epoch: [26][9130/14090]	Time 0.741 (0.760)	Data 0.003 (0.001)	Loss 2.6286 (2.7492)	Prec@1 32.812 (34.415)	Prec@5 67.969 (64.774)
Epoch: [26][9140/14090]	Time 0.764 (0.760)	Data 0.001 (0.001)	Loss 2.7823 (2.7492)	Prec@1 35.156 (34.414)	Prec@5 64.062 (64.773)
Epoch: [26][9150/14090]	Time 0.776 (0.760)	Data 0.001 (0.001)	Loss 2.7161 (2.7491)	Prec@1 40.625 (34.416)	Prec@5 67.188 (64.775)
Epoch: [26][9160/14090]	Time 0.757 (0.760)	Data 0.001 (0.001)	Loss 2.5706 (2.7489)	Prec@1 39.844 (34.421)	Prec@5 68.750 (64.779)
Epoch: [26][9170/14090]	Time 0.767 (0.760)	Data 0.001 (0.001)	Loss 2.7345 (2.7490)	Prec@1 35.156 (34.421)	Prec@5 64.062 (64.779)
Epoch: [26][9180/14090]	Time 0.753 (0.760)	Data 0.001 (0.001)	Loss 2.7236 (2.7490)	Prec@1 39.062 (34.423)	Prec@5 64.062 (64.779)
Epoch: [26][9190/14090]	Time 0.731 (0.760)	Data 0.001 (0.001)	Loss 2.8553 (2.7489)	Prec@1 31.250 (34.424)	Prec@5 61.719 (64.780)
Epoch: [26][9200/14090]	Time 0.751 (0.760)	Data 0.001 (0.001)	Loss 2.6364 (2.7489)	Prec@1 35.938 (34.426)	Prec@5 69.531 (64.781)
Epoch: [26][9210/14090]	Time 0.854 (0.760)	Data 0.001 (0.001)	Loss 2.9279 (2.7487)	Prec@1 32.812 (34.429)	Prec@5 58.594 (64.783)
Epoch: [26][9220/14090]	Time 0.739 (0.760)	Data 0.001 (0.001)	Loss 2.6261 (2.7486)	Prec@1 35.938 (34.431)	Prec@5 63.281 (64.785)
Epoch: [26][9230/14090]	Time 0.752 (0.760)	Data 0.001 (0.001)	Loss 2.9555 (2.7487)	Prec@1 32.031 (34.433)	Prec@5 59.375 (64.786)
Epoch: [26][9240/14090]	Time 0.747 (0.760)	Data 0.001 (0.001)	Loss 2.8621 (2.7488)	Prec@1 32.812 (34.431)	Prec@5 60.156 (64.784)
Epoch: [26][9250/14090]	Time 0.728 (0.760)	Data 0.001 (0.001)	Loss 2.6543 (2.7488)	Prec@1 39.062 (34.430)	Prec@5 71.875 (64.785)
Epoch: [26][9260/14090]	Time 0.755 (0.760)	Data 0.001 (0.001)	Loss 2.8584 (2.7489)	Prec@1 33.594 (34.432)	Prec@5 66.406 (64.785)
Epoch: [26][9270/14090]	Time 0.747 (0.760)	Data 0.001 (0.001)	Loss 2.6496 (2.7489)	Prec@1 38.281 (34.432)	Prec@5 64.062 (64.783)
Epoch: [26][9280/14090]	Time 0.877 (0.760)	Data 0.001 (0.001)	Loss 2.9463 (2.7488)	Prec@1 32.031 (34.432)	Prec@5 60.156 (64.783)
Epoch: [26][9290/14090]	Time 0.746 (0.760)	Data 0.001 (0.001)	Loss 2.6310 (2.7489)	Prec@1 36.719 (34.430)	Prec@5 67.188 (64.782)
Epoch: [26][9300/14090]	Time 0.735 (0.760)	Data 0.001 (0.001)	Loss 2.8471 (2.7489)	Prec@1 30.469 (34.432)	Prec@5 67.188 (64.783)
Epoch: [26][9310/14090]	Time 0.759 (0.760)	Data 0.001 (0.001)	Loss 2.7483 (2.7489)	Prec@1 35.156 (34.430)	Prec@5 66.406 (64.785)
Epoch: [26][9320/14090]	Time 0.770 (0.760)	Data 0.001 (0.001)	Loss 2.5472 (2.7488)	Prec@1 42.188 (34.432)	Prec@5 71.094 (64.786)
Epoch: [26][9330/14090]	Time 0.734 (0.760)	Data 0.001 (0.001)	Loss 2.9236 (2.7488)	Prec@1 28.906 (34.432)	Prec@5 60.938 (64.785)
Epoch: [26][9340/14090]	Time 0.722 (0.760)	Data 0.001 (0.001)	Loss 2.9681 (2.7489)	Prec@1 31.250 (34.433)	Prec@5 57.812 (64.784)
Epoch: [26][9350/14090]	Time 0.790 (0.760)	Data 0.001 (0.001)	Loss 2.7984 (2.7489)	Prec@1 32.812 (34.432)	Prec@5 64.062 (64.786)
Epoch: [26][9360/14090]	Time 0.721 (0.760)	Data 0.001 (0.001)	Loss 2.9688 (2.7489)	Prec@1 31.250 (34.430)	Prec@5 60.156 (64.785)
Epoch: [26][9370/14090]	Time 0.734 (0.760)	Data 0.001 (0.001)	Loss 2.6511 (2.7489)	Prec@1 38.281 (34.431)	Prec@5 64.844 (64.783)
Epoch: [26][9380/14090]	Time 0.721 (0.760)	Data 0.001 (0.001)	Loss 2.8264 (2.7490)	Prec@1 28.906 (34.431)	Prec@5 65.625 (64.782)
Epoch: [26][9390/14090]	Time 0.777 (0.760)	Data 0.001 (0.001)	Loss 2.7423 (2.7490)	Prec@1 35.156 (34.429)	Prec@5 59.375 (64.780)
Epoch: [26][9400/14090]	Time 0.758 (0.760)	Data 0.001 (0.001)	Loss 2.9376 (2.7491)	Prec@1 26.562 (34.429)	Prec@5 60.938 (64.777)
Epoch: [26][9410/14090]	Time 0.740 (0.760)	Data 0.001 (0.001)	Loss 2.7809 (2.7491)	Prec@1 32.812 (34.427)	Prec@5 64.844 (64.778)
Epoch: [26][9420/14090]	Time 0.879 (0.760)	Data 0.001 (0.001)	Loss 2.4769 (2.7490)	Prec@1 38.281 (34.428)	Prec@5 68.750 (64.781)
Epoch: [26][9430/14090]	Time 0.741 (0.760)	Data 0.001 (0.001)	Loss 2.4681 (2.7490)	Prec@1 45.312 (34.430)	Prec@5 68.750 (64.781)
Epoch: [26][9440/14090]	Time 0.767 (0.760)	Data 0.001 (0.001)	Loss 2.7885 (2.7489)	Prec@1 32.031 (34.433)	Prec@5 62.500 (64.785)
Epoch: [26][9450/14090]	Time 0.778 (0.760)	Data 0.001 (0.001)	Loss 3.0065 (2.7491)	Prec@1 28.125 (34.431)	Prec@5 59.375 (64.781)
Epoch: [26][9460/14090]	Time 0.765 (0.760)	Data 0.001 (0.001)	Loss 2.5583 (2.7491)	Prec@1 36.719 (34.430)	Prec@5 69.531 (64.781)
Epoch: [26][9470/14090]	Time 0.740 (0.760)	Data 0.001 (0.001)	Loss 2.6222 (2.7491)	Prec@1 36.719 (34.430)	Prec@5 64.844 (64.781)
Epoch: [26][9480/14090]	Time 0.736 (0.760)	Data 0.001 (0.001)	Loss 2.9012 (2.7490)	Prec@1 28.906 (34.432)	Prec@5 64.844 (64.783)
Epoch: [26][9490/14090]	Time 0.835 (0.760)	Data 0.001 (0.001)	Loss 2.7711 (2.7490)	Prec@1 31.250 (34.431)	Prec@5 69.531 (64.784)
Epoch: [26][9500/14090]	Time 0.736 (0.760)	Data 0.001 (0.001)	Loss 2.5164 (2.7490)	Prec@1 37.500 (34.431)	Prec@5 72.656 (64.784)
Epoch: [26][9510/14090]	Time 0.727 (0.760)	Data 0.001 (0.001)	Loss 2.9709 (2.7490)	Prec@1 27.344 (34.431)	Prec@5 60.156 (64.783)
Epoch: [26][9520/14090]	Time 0.781 (0.760)	Data 0.001 (0.001)	Loss 2.6097 (2.7491)	Prec@1 36.719 (34.430)	Prec@5 67.188 (64.783)
Epoch: [26][9530/14090]	Time 0.740 (0.760)	Data 0.001 (0.001)	Loss 2.8370 (2.7492)	Prec@1 38.281 (34.429)	Prec@5 63.281 (64.780)
Epoch: [26][9540/14090]	Time 0.736 (0.760)	Data 0.001 (0.001)	Loss 2.8863 (2.7493)	Prec@1 33.594 (34.428)	Prec@5 64.844 (64.778)
Epoch: [26][9550/14090]	Time 0.734 (0.760)	Data 0.001 (0.001)	Loss 2.8011 (2.7493)	Prec@1 39.844 (34.428)	Prec@5 63.281 (64.777)
Epoch: [26][9560/14090]	Time 0.860 (0.760)	Data 0.002 (0.001)	Loss 2.6492 (2.7493)	Prec@1 32.812 (34.426)	Prec@5 64.844 (64.776)
Epoch: [26][9570/14090]	Time 0.747 (0.760)	Data 0.001 (0.001)	Loss 2.8972 (2.7492)	Prec@1 30.469 (34.426)	Prec@5 57.031 (64.778)
Epoch: [26][9580/14090]	Time 0.739 (0.760)	Data 0.001 (0.001)	Loss 2.7044 (2.7492)	Prec@1 35.938 (34.426)	Prec@5 64.062 (64.779)
Epoch: [26][9590/14090]	Time 0.724 (0.760)	Data 0.001 (0.001)	Loss 2.6894 (2.7493)	Prec@1 39.062 (34.425)	Prec@5 63.281 (64.777)
Epoch: [26][9600/14090]	Time 0.749 (0.760)	Data 0.001 (0.001)	Loss 2.5643 (2.7493)	Prec@1 36.719 (34.426)	Prec@5 68.750 (64.778)
Epoch: [26][9610/14090]	Time 0.761 (0.760)	Data 0.001 (0.001)	Loss 2.7809 (2.7492)	Prec@1 34.375 (34.427)	Prec@5 61.719 (64.778)
Epoch: [26][9620/14090]	Time 0.730 (0.760)	Data 0.001 (0.001)	Loss 2.6649 (2.7492)	Prec@1 35.938 (34.427)	Prec@5 64.844 (64.778)
Epoch: [26][9630/14090]	Time 0.775 (0.760)	Data 0.001 (0.001)	Loss 2.9243 (2.7492)	Prec@1 31.250 (34.427)	Prec@5 60.938 (64.778)
Epoch: [26][9640/14090]	Time 0.784 (0.760)	Data 0.001 (0.001)	Loss 3.1200 (2.7493)	Prec@1 31.250 (34.425)	Prec@5 56.250 (64.778)
Epoch: [26][9650/14090]	Time 0.773 (0.760)	Data 0.001 (0.001)	Loss 2.8546 (2.7494)	Prec@1 29.688 (34.422)	Prec@5 62.500 (64.774)
Epoch: [26][9660/14090]	Time 0.751 (0.760)	Data 0.001 (0.001)	Loss 2.7193 (2.7493)	Prec@1 39.062 (34.424)	Prec@5 65.625 (64.776)
Epoch: [26][9670/14090]	Time 0.761 (0.760)	Data 0.001 (0.001)	Loss 3.2698 (2.7493)	Prec@1 26.562 (34.423)	Prec@5 48.438 (64.775)
Epoch: [26][9680/14090]	Time 0.750 (0.760)	Data 0.001 (0.001)	Loss 2.6813 (2.7494)	Prec@1 32.812 (34.422)	Prec@5 64.844 (64.775)
Epoch: [26][9690/14090]	Time 0.756 (0.760)	Data 0.001 (0.001)	Loss 2.6909 (2.7494)	Prec@1 38.281 (34.420)	Prec@5 68.750 (64.772)
Epoch: [26][9700/14090]	Time 0.753 (0.760)	Data 0.001 (0.001)	Loss 2.7174 (2.7494)	Prec@1 35.156 (34.421)	Prec@5 65.625 (64.775)
Epoch: [26][9710/14090]	Time 0.741 (0.760)	Data 0.001 (0.001)	Loss 2.7606 (2.7494)	Prec@1 33.594 (34.420)	Prec@5 65.625 (64.776)
Epoch: [26][9720/14090]	Time 0.738 (0.760)	Data 0.001 (0.001)	Loss 2.6866 (2.7494)	Prec@1 33.594 (34.420)	Prec@5 67.188 (64.776)
Epoch: [26][9730/14090]	Time 0.760 (0.760)	Data 0.001 (0.001)	Loss 2.6005 (2.7495)	Prec@1 39.062 (34.418)	Prec@5 65.625 (64.774)
Epoch: [26][9740/14090]	Time 0.778 (0.760)	Data 0.001 (0.001)	Loss 3.0015 (2.7495)	Prec@1 30.469 (34.417)	Prec@5 58.594 (64.774)
Epoch: [26][9750/14090]	Time 0.739 (0.760)	Data 0.001 (0.001)	Loss 2.7720 (2.7495)	Prec@1 31.250 (34.417)	Prec@5 68.750 (64.774)
Epoch: [26][9760/14090]	Time 0.757 (0.760)	Data 0.001 (0.001)	Loss 2.6624 (2.7495)	Prec@1 37.500 (34.417)	Prec@5 65.625 (64.775)
Epoch: [26][9770/14090]	Time 0.813 (0.760)	Data 0.001 (0.001)	Loss 3.3029 (2.7496)	Prec@1 30.469 (34.417)	Prec@5 51.562 (64.774)
Epoch: [26][9780/14090]	Time 0.737 (0.760)	Data 0.001 (0.001)	Loss 2.7387 (2.7496)	Prec@1 35.938 (34.417)	Prec@5 67.969 (64.775)
Epoch: [26][9790/14090]	Time 0.736 (0.760)	Data 0.001 (0.001)	Loss 2.5298 (2.7495)	Prec@1 39.062 (34.418)	Prec@5 67.969 (64.778)
Epoch: [26][9800/14090]	Time 0.747 (0.760)	Data 0.001 (0.001)	Loss 2.9454 (2.7495)	Prec@1 30.469 (34.418)	Prec@5 58.594 (64.776)
Epoch: [26][9810/14090]	Time 0.786 (0.760)	Data 0.001 (0.001)	Loss 2.7306 (2.7495)	Prec@1 35.938 (34.417)	Prec@5 66.406 (64.778)
Epoch: [26][9820/14090]	Time 0.750 (0.760)	Data 0.001 (0.001)	Loss 2.6335 (2.7496)	Prec@1 34.375 (34.416)	Prec@5 67.188 (64.777)
Epoch: [26][9830/14090]	Time 0.749 (0.760)	Data 0.001 (0.001)	Loss 2.6837 (2.7496)	Prec@1 32.812 (34.417)	Prec@5 66.406 (64.777)
Epoch: [26][9840/14090]	Time 0.861 (0.760)	Data 0.001 (0.001)	Loss 2.8273 (2.7496)	Prec@1 26.562 (34.416)	Prec@5 63.281 (64.776)
Epoch: [26][9850/14090]	Time 0.733 (0.760)	Data 0.001 (0.001)	Loss 2.5595 (2.7495)	Prec@1 39.844 (34.418)	Prec@5 69.531 (64.777)
Epoch: [26][9860/14090]	Time 0.761 (0.760)	Data 0.001 (0.001)	Loss 2.6996 (2.7496)	Prec@1 35.156 (34.418)	Prec@5 65.625 (64.776)
Epoch: [26][9870/14090]	Time 0.766 (0.760)	Data 0.001 (0.001)	Loss 2.9301 (2.7495)	Prec@1 33.594 (34.419)	Prec@5 63.281 (64.778)
Epoch: [26][9880/14090]	Time 0.724 (0.760)	Data 0.001 (0.001)	Loss 2.7579 (2.7495)	Prec@1 31.250 (34.418)	Prec@5 68.750 (64.778)
Epoch: [26][9890/14090]	Time 0.740 (0.760)	Data 0.001 (0.001)	Loss 2.9613 (2.7496)	Prec@1 25.781 (34.416)	Prec@5 57.031 (64.776)
Epoch: [26][9900/14090]	Time 0.758 (0.760)	Data 0.001 (0.001)	Loss 2.5998 (2.7495)	Prec@1 36.719 (34.416)	Prec@5 63.281 (64.777)
Epoch: [26][9910/14090]	Time 0.840 (0.760)	Data 0.001 (0.001)	Loss 2.6228 (2.7495)	Prec@1 35.938 (34.417)	Prec@5 65.625 (64.776)
Epoch: [26][9920/14090]	Time 0.755 (0.760)	Data 0.001 (0.001)	Loss 2.8340 (2.7495)	Prec@1 31.250 (34.417)	Prec@5 61.719 (64.775)
Epoch: [26][9930/14090]	Time 0.744 (0.760)	Data 0.001 (0.001)	Loss 2.8701 (2.7496)	Prec@1 37.500 (34.415)	Prec@5 57.812 (64.775)
Epoch: [26][9940/14090]	Time 0.781 (0.760)	Data 0.001 (0.001)	Loss 2.3321 (2.7496)	Prec@1 37.500 (34.414)	Prec@5 73.438 (64.774)
Epoch: [26][9950/14090]	Time 0.740 (0.760)	Data 0.001 (0.001)	Loss 2.7222 (2.7496)	Prec@1 34.375 (34.415)	Prec@5 61.719 (64.774)
Epoch: [26][9960/14090]	Time 0.756 (0.760)	Data 0.001 (0.001)	Loss 2.9992 (2.7497)	Prec@1 27.344 (34.415)	Prec@5 60.938 (64.773)
Epoch: [26][9970/14090]	Time 0.758 (0.760)	Data 0.001 (0.001)	Loss 3.2353 (2.7497)	Prec@1 23.438 (34.414)	Prec@5 51.562 (64.773)
Epoch: [26][9980/14090]	Time 0.792 (0.760)	Data 0.001 (0.001)	Loss 2.8867 (2.7498)	Prec@1 33.594 (34.412)	Prec@5 60.938 (64.771)
Epoch: [26][9990/14090]	Time 0.748 (0.760)	Data 0.001 (0.001)	Loss 2.9195 (2.7498)	Prec@1 35.938 (34.412)	Prec@5 60.938 (64.770)
Epoch: [26][10000/14090]	Time 0.722 (0.760)	Data 0.001 (0.001)	Loss 2.8221 (2.7499)	Prec@1 28.906 (34.409)	Prec@5 62.500 (64.767)
Epoch: [26][10010/14090]	Time 0.750 (0.760)	Data 0.001 (0.001)	Loss 2.9173 (2.7499)	Prec@1 32.031 (34.409)	Prec@5 60.156 (64.766)
Epoch: [26][10020/14090]	Time 0.751 (0.760)	Data 0.001 (0.001)	Loss 2.7438 (2.7499)	Prec@1 31.250 (34.410)	Prec@5 70.312 (64.767)
Epoch: [26][10030/14090]	Time 0.742 (0.760)	Data 0.002 (0.001)	Loss 2.7530 (2.7499)	Prec@1 35.938 (34.409)	Prec@5 66.406 (64.767)
Epoch: [26][10040/14090]	Time 0.748 (0.760)	Data 0.001 (0.001)	Loss 2.6101 (2.7499)	Prec@1 35.156 (34.409)	Prec@5 67.188 (64.768)
Epoch: [26][10050/14090]	Time 0.802 (0.760)	Data 0.001 (0.001)	Loss 2.9911 (2.7500)	Prec@1 32.812 (34.407)	Prec@5 60.156 (64.765)
Epoch: [26][10060/14090]	Time 0.754 (0.760)	Data 0.001 (0.001)	Loss 2.9039 (2.7500)	Prec@1 35.938 (34.408)	Prec@5 61.719 (64.767)
Epoch: [26][10070/14090]	Time 0.727 (0.760)	Data 0.001 (0.001)	Loss 2.7568 (2.7500)	Prec@1 33.594 (34.407)	Prec@5 65.625 (64.767)
Epoch: [26][10080/14090]	Time 0.791 (0.760)	Data 0.001 (0.001)	Loss 2.5713 (2.7500)	Prec@1 35.156 (34.407)	Prec@5 67.969 (64.767)
Epoch: [26][10090/14090]	Time 0.753 (0.760)	Data 0.001 (0.001)	Loss 2.7075 (2.7499)	Prec@1 28.906 (34.408)	Prec@5 62.500 (64.767)
Epoch: [26][10100/14090]	Time 0.723 (0.760)	Data 0.001 (0.001)	Loss 2.7203 (2.7498)	Prec@1 35.156 (34.410)	Prec@5 66.406 (64.769)
Epoch: [26][10110/14090]	Time 0.742 (0.760)	Data 0.001 (0.001)	Loss 2.7735 (2.7498)	Prec@1 40.625 (34.409)	Prec@5 64.844 (64.770)
Epoch: [26][10120/14090]	Time 0.814 (0.760)	Data 0.001 (0.001)	Loss 2.5589 (2.7499)	Prec@1 37.500 (34.408)	Prec@5 70.312 (64.768)
Epoch: [26][10130/14090]	Time 0.766 (0.760)	Data 0.001 (0.001)	Loss 2.8908 (2.7500)	Prec@1 30.469 (34.404)	Prec@5 64.062 (64.765)
Epoch: [26][10140/14090]	Time 0.726 (0.760)	Data 0.001 (0.001)	Loss 2.5881 (2.7500)	Prec@1 34.375 (34.405)	Prec@5 66.406 (64.765)
Epoch: [26][10150/14090]	Time 0.742 (0.760)	Data 0.001 (0.001)	Loss 2.8673 (2.7500)	Prec@1 35.156 (34.406)	Prec@5 69.531 (64.766)
Epoch: [26][10160/14090]	Time 0.786 (0.760)	Data 0.001 (0.001)	Loss 2.7251 (2.7500)	Prec@1 35.156 (34.406)	Prec@5 66.406 (64.765)
Epoch: [26][10170/14090]	Time 0.754 (0.760)	Data 0.001 (0.001)	Loss 2.5967 (2.7500)	Prec@1 35.938 (34.407)	Prec@5 68.750 (64.765)
Epoch: [26][10180/14090]	Time 0.779 (0.760)	Data 0.001 (0.001)	Loss 2.6458 (2.7500)	Prec@1 40.625 (34.407)	Prec@5 61.719 (64.763)
Epoch: [26][10190/14090]	Time 0.844 (0.760)	Data 0.001 (0.001)	Loss 2.7893 (2.7500)	Prec@1 29.688 (34.406)	Prec@5 61.719 (64.764)
Epoch: [26][10200/14090]	Time 0.733 (0.760)	Data 0.001 (0.001)	Loss 2.7310 (2.7501)	Prec@1 32.812 (34.403)	Prec@5 61.719 (64.763)
Epoch: [26][10210/14090]	Time 0.769 (0.760)	Data 0.001 (0.001)	Loss 2.6577 (2.7502)	Prec@1 33.594 (34.401)	Prec@5 65.625 (64.761)
Epoch: [26][10220/14090]	Time 0.738 (0.760)	Data 0.001 (0.001)	Loss 2.9346 (2.7503)	Prec@1 33.594 (34.398)	Prec@5 60.156 (64.760)
Epoch: [26][10230/14090]	Time 0.740 (0.760)	Data 0.001 (0.001)	Loss 2.4706 (2.7503)	Prec@1 36.719 (34.398)	Prec@5 69.531 (64.759)
Epoch: [26][10240/14090]	Time 0.748 (0.760)	Data 0.001 (0.001)	Loss 2.7156 (2.7503)	Prec@1 33.594 (34.398)	Prec@5 67.969 (64.759)
Epoch: [26][10250/14090]	Time 0.727 (0.760)	Data 0.001 (0.001)	Loss 2.9594 (2.7503)	Prec@1 28.906 (34.398)	Prec@5 60.156 (64.758)
Epoch: [26][10260/14090]	Time 0.867 (0.760)	Data 0.001 (0.001)	Loss 2.5837 (2.7502)	Prec@1 37.500 (34.398)	Prec@5 71.875 (64.760)
Epoch: [26][10270/14090]	Time 0.750 (0.760)	Data 0.001 (0.001)	Loss 2.5489 (2.7502)	Prec@1 30.469 (34.396)	Prec@5 66.406 (64.760)
Epoch: [26][10280/14090]	Time 0.732 (0.760)	Data 0.001 (0.001)	Loss 2.7071 (2.7501)	Prec@1 29.688 (34.397)	Prec@5 67.188 (64.763)
Epoch: [26][10290/14090]	Time 0.734 (0.760)	Data 0.001 (0.001)	Loss 2.6608 (2.7501)	Prec@1 33.594 (34.397)	Prec@5 64.844 (64.763)
Epoch: [26][10300/14090]	Time 0.724 (0.760)	Data 0.001 (0.001)	Loss 2.5572 (2.7501)	Prec@1 38.281 (34.398)	Prec@5 74.219 (64.763)
Epoch: [26][10310/14090]	Time 0.733 (0.760)	Data 0.001 (0.001)	Loss 2.6975 (2.7501)	Prec@1 35.156 (34.396)	Prec@5 65.625 (64.763)
Epoch: [26][10320/14090]	Time 0.757 (0.760)	Data 0.001 (0.001)	Loss 2.4905 (2.7501)	Prec@1 35.156 (34.394)	Prec@5 76.562 (64.763)
Epoch: [26][10330/14090]	Time 0.791 (0.760)	Data 0.001 (0.001)	Loss 2.8111 (2.7501)	Prec@1 34.375 (34.394)	Prec@5 60.938 (64.764)
Epoch: [26][10340/14090]	Time 0.723 (0.760)	Data 0.001 (0.001)	Loss 2.8495 (2.7502)	Prec@1 29.688 (34.393)	Prec@5 64.844 (64.762)
Epoch: [26][10350/14090]	Time 0.744 (0.760)	Data 0.001 (0.001)	Loss 2.9181 (2.7502)	Prec@1 31.250 (34.392)	Prec@5 61.719 (64.762)
Epoch: [26][10360/14090]	Time 0.748 (0.760)	Data 0.001 (0.001)	Loss 2.6327 (2.7502)	Prec@1 33.594 (34.393)	Prec@5 66.406 (64.762)
Epoch: [26][10370/14090]	Time 0.732 (0.760)	Data 0.001 (0.001)	Loss 2.8775 (2.7503)	Prec@1 33.594 (34.392)	Prec@5 60.938 (64.762)
Epoch: [26][10380/14090]	Time 0.777 (0.760)	Data 0.001 (0.001)	Loss 3.0298 (2.7503)	Prec@1 29.688 (34.393)	Prec@5 55.469 (64.759)
Epoch: [26][10390/14090]	Time 0.739 (0.760)	Data 0.001 (0.001)	Loss 2.6539 (2.7504)	Prec@1 37.500 (34.394)	Prec@5 65.625 (64.757)
Epoch: [26][10400/14090]	Time 0.786 (0.760)	Data 0.001 (0.001)	Loss 2.4012 (2.7503)	Prec@1 38.281 (34.395)	Prec@5 71.875 (64.758)
Epoch: [26][10410/14090]	Time 0.762 (0.760)	Data 0.001 (0.001)	Loss 2.6677 (2.7503)	Prec@1 35.156 (34.393)	Prec@5 64.062 (64.757)
Epoch: [26][10420/14090]	Time 0.753 (0.760)	Data 0.001 (0.001)	Loss 2.7727 (2.7503)	Prec@1 36.719 (34.393)	Prec@5 64.844 (64.758)
Epoch: [26][10430/14090]	Time 0.765 (0.760)	Data 0.001 (0.001)	Loss 2.8445 (2.7502)	Prec@1 38.281 (34.395)	Prec@5 60.938 (64.758)
Epoch: [26][10440/14090]	Time 0.722 (0.760)	Data 0.001 (0.001)	Loss 2.5738 (2.7501)	Prec@1 35.938 (34.399)	Prec@5 71.094 (64.759)
Epoch: [26][10450/14090]	Time 0.759 (0.760)	Data 0.001 (0.001)	Loss 2.7842 (2.7501)	Prec@1 28.906 (34.400)	Prec@5 65.625 (64.759)
Epoch: [26][10460/14090]	Time 0.760 (0.760)	Data 0.001 (0.001)	Loss 2.8137 (2.7501)	Prec@1 39.844 (34.400)	Prec@5 61.719 (64.760)
Epoch: [26][10470/14090]	Time 0.838 (0.760)	Data 0.001 (0.001)	Loss 2.9205 (2.7501)	Prec@1 35.156 (34.401)	Prec@5 57.812 (64.759)
Epoch: [26][10480/14090]	Time 0.747 (0.760)	Data 0.001 (0.001)	Loss 2.4590 (2.7500)	Prec@1 46.094 (34.403)	Prec@5 67.969 (64.761)
Epoch: [26][10490/14090]	Time 0.753 (0.760)	Data 0.001 (0.001)	Loss 2.5854 (2.7500)	Prec@1 35.156 (34.403)	Prec@5 68.750 (64.763)
Epoch: [26][10500/14090]	Time 0.760 (0.760)	Data 0.001 (0.001)	Loss 2.7825 (2.7501)	Prec@1 32.812 (34.401)	Prec@5 61.719 (64.761)
Epoch: [26][10510/14090]	Time 0.761 (0.760)	Data 0.001 (0.001)	Loss 2.8253 (2.7501)	Prec@1 27.344 (34.402)	Prec@5 64.844 (64.761)
Epoch: [26][10520/14090]	Time 0.763 (0.760)	Data 0.001 (0.001)	Loss 2.7965 (2.7501)	Prec@1 35.938 (34.403)	Prec@5 60.938 (64.760)
Epoch: [26][10530/14090]	Time 0.739 (0.760)	Data 0.001 (0.001)	Loss 2.6929 (2.7502)	Prec@1 31.250 (34.399)	Prec@5 67.188 (64.758)
Epoch: [26][10540/14090]	Time 0.788 (0.760)	Data 0.001 (0.001)	Loss 2.9153 (2.7503)	Prec@1 35.938 (34.398)	Prec@5 64.844 (64.756)
Epoch: [26][10550/14090]	Time 0.768 (0.760)	Data 0.001 (0.001)	Loss 2.5792 (2.7503)	Prec@1 35.938 (34.397)	Prec@5 69.531 (64.757)
Epoch: [26][10560/14090]	Time 0.740 (0.760)	Data 0.001 (0.001)	Loss 2.8302 (2.7503)	Prec@1 32.031 (34.397)	Prec@5 64.062 (64.757)
Epoch: [26][10570/14090]	Time 0.731 (0.760)	Data 0.001 (0.001)	Loss 2.7144 (2.7503)	Prec@1 34.375 (34.397)	Prec@5 67.188 (64.758)
Epoch: [26][10580/14090]	Time 0.737 (0.760)	Data 0.001 (0.001)	Loss 2.6732 (2.7502)	Prec@1 41.406 (34.398)	Prec@5 66.406 (64.760)
Epoch: [26][10590/14090]	Time 0.769 (0.760)	Data 0.001 (0.001)	Loss 2.5716 (2.7502)	Prec@1 39.062 (34.399)	Prec@5 71.094 (64.761)
Epoch: [26][10600/14090]	Time 0.747 (0.760)	Data 0.001 (0.001)	Loss 2.5292 (2.7502)	Prec@1 34.375 (34.399)	Prec@5 72.656 (64.761)
Epoch: [26][10610/14090]	Time 0.845 (0.760)	Data 0.001 (0.001)	Loss 2.7840 (2.7503)	Prec@1 33.594 (34.398)	Prec@5 64.062 (64.761)
Epoch: [26][10620/14090]	Time 0.736 (0.760)	Data 0.001 (0.001)	Loss 2.7885 (2.7503)	Prec@1 35.938 (34.398)	Prec@5 66.406 (64.759)
Epoch: [26][10630/14090]	Time 0.753 (0.760)	Data 0.001 (0.001)	Loss 2.6336 (2.7503)	Prec@1 34.375 (34.398)	Prec@5 62.500 (64.759)
Epoch: [26][10640/14090]	Time 0.726 (0.760)	Data 0.001 (0.001)	Loss 2.8140 (2.7504)	Prec@1 32.031 (34.397)	Prec@5 60.156 (64.757)
Epoch: [26][10650/14090]	Time 0.724 (0.760)	Data 0.001 (0.001)	Loss 2.7492 (2.7505)	Prec@1 39.844 (34.396)	Prec@5 65.625 (64.756)
Epoch: [26][10660/14090]	Time 0.737 (0.760)	Data 0.001 (0.001)	Loss 2.7662 (2.7506)	Prec@1 34.375 (34.394)	Prec@5 64.062 (64.756)
Epoch: [26][10670/14090]	Time 0.755 (0.760)	Data 0.001 (0.001)	Loss 2.6021 (2.7505)	Prec@1 36.719 (34.396)	Prec@5 67.969 (64.757)
Epoch: [26][10680/14090]	Time 0.786 (0.760)	Data 0.001 (0.001)	Loss 2.7847 (2.7505)	Prec@1 32.031 (34.395)	Prec@5 60.156 (64.757)
Epoch: [26][10690/14090]	Time 0.728 (0.760)	Data 0.001 (0.001)	Loss 2.8222 (2.7505)	Prec@1 28.125 (34.395)	Prec@5 62.500 (64.757)
Epoch: [26][10700/14090]	Time 0.736 (0.760)	Data 0.001 (0.001)	Loss 2.7495 (2.7505)	Prec@1 34.375 (34.393)	Prec@5 63.281 (64.757)
Epoch: [26][10710/14090]	Time 0.776 (0.760)	Data 0.001 (0.001)	Loss 2.6813 (2.7504)	Prec@1 38.281 (34.395)	Prec@5 63.281 (64.759)
Epoch: [26][10720/14090]	Time 0.754 (0.760)	Data 0.001 (0.001)	Loss 2.5210 (2.7504)	Prec@1 34.375 (34.395)	Prec@5 69.531 (64.760)
Epoch: [26][10730/14090]	Time 0.738 (0.760)	Data 0.001 (0.001)	Loss 2.8555 (2.7504)	Prec@1 35.156 (34.395)	Prec@5 58.594 (64.760)
Epoch: [26][10740/14090]	Time 0.744 (0.760)	Data 0.001 (0.001)	Loss 2.8800 (2.7506)	Prec@1 33.594 (34.393)	Prec@5 58.594 (64.757)
Epoch: [26][10750/14090]	Time 0.797 (0.760)	Data 0.001 (0.001)	Loss 2.6852 (2.7505)	Prec@1 35.938 (34.392)	Prec@5 67.969 (64.759)
Epoch: [26][10760/14090]	Time 0.737 (0.760)	Data 0.001 (0.001)	Loss 2.6096 (2.7505)	Prec@1 37.500 (34.393)	Prec@5 62.500 (64.760)
Epoch: [26][10770/14090]	Time 0.757 (0.760)	Data 0.001 (0.001)	Loss 2.5790 (2.7503)	Prec@1 42.188 (34.396)	Prec@5 70.312 (64.761)
Epoch: [26][10780/14090]	Time 0.777 (0.760)	Data 0.001 (0.001)	Loss 2.8840 (2.7504)	Prec@1 33.594 (34.395)	Prec@5 67.969 (64.762)
Epoch: [26][10790/14090]	Time 0.748 (0.760)	Data 0.001 (0.001)	Loss 2.9491 (2.7503)	Prec@1 30.469 (34.397)	Prec@5 64.844 (64.765)
Epoch: [26][10800/14090]	Time 0.759 (0.760)	Data 0.001 (0.001)	Loss 2.7708 (2.7504)	Prec@1 30.469 (34.396)	Prec@5 61.719 (64.765)
Epoch: [26][10810/14090]	Time 0.746 (0.760)	Data 0.001 (0.001)	Loss 2.7000 (2.7503)	Prec@1 39.062 (34.397)	Prec@5 68.750 (64.766)
Epoch: [26][10820/14090]	Time 0.812 (0.760)	Data 0.001 (0.001)	Loss 2.8868 (2.7504)	Prec@1 32.031 (34.397)	Prec@5 63.281 (64.765)
Epoch: [26][10830/14090]	Time 0.739 (0.760)	Data 0.001 (0.001)	Loss 2.9752 (2.7505)	Prec@1 29.688 (34.394)	Prec@5 64.062 (64.762)
Epoch: [26][10840/14090]	Time 0.763 (0.760)	Data 0.001 (0.001)	Loss 2.9220 (2.7505)	Prec@1 38.281 (34.393)	Prec@5 61.719 (64.763)
Epoch: [26][10850/14090]	Time 0.781 (0.760)	Data 0.001 (0.001)	Loss 2.7707 (2.7505)	Prec@1 34.375 (34.392)	Prec@5 65.625 (64.763)
Epoch: [26][10860/14090]	Time 0.726 (0.760)	Data 0.001 (0.001)	Loss 2.9517 (2.7505)	Prec@1 28.906 (34.390)	Prec@5 56.250 (64.762)
Epoch: [26][10870/14090]	Time 0.742 (0.760)	Data 0.001 (0.001)	Loss 2.8415 (2.7505)	Prec@1 30.469 (34.392)	Prec@5 64.062 (64.764)
Epoch: [26][10880/14090]	Time 0.742 (0.760)	Data 0.001 (0.001)	Loss 2.6664 (2.7504)	Prec@1 33.594 (34.391)	Prec@5 64.844 (64.767)
Epoch: [26][10890/14090]	Time 0.942 (0.760)	Data 0.001 (0.001)	Loss 2.6015 (2.7504)	Prec@1 38.281 (34.391)	Prec@5 71.875 (64.768)
Epoch: [26][10900/14090]	Time 0.747 (0.760)	Data 0.001 (0.001)	Loss 2.9408 (2.7505)	Prec@1 31.250 (34.390)	Prec@5 62.500 (64.766)
Epoch: [26][10910/14090]	Time 0.748 (0.760)	Data 0.001 (0.001)	Loss 2.7184 (2.7505)	Prec@1 35.938 (34.390)	Prec@5 61.719 (64.767)
Epoch: [26][10920/14090]	Time 0.752 (0.760)	Data 0.001 (0.001)	Loss 2.7472 (2.7505)	Prec@1 35.938 (34.388)	Prec@5 63.281 (64.766)
Epoch: [26][10930/14090]	Time 0.755 (0.760)	Data 0.001 (0.001)	Loss 2.3880 (2.7505)	Prec@1 42.188 (34.388)	Prec@5 73.438 (64.767)
Epoch: [26][10940/14090]	Time 0.739 (0.760)	Data 0.001 (0.001)	Loss 2.9349 (2.7506)	Prec@1 26.562 (34.386)	Prec@5 61.719 (64.766)
Epoch: [26][10950/14090]	Time 0.748 (0.760)	Data 0.001 (0.001)	Loss 2.7775 (2.7506)	Prec@1 33.594 (34.385)	Prec@5 58.594 (64.764)
Epoch: [26][10960/14090]	Time 0.795 (0.760)	Data 0.001 (0.001)	Loss 2.9621 (2.7507)	Prec@1 33.594 (34.384)	Prec@5 67.188 (64.762)
Epoch: [26][10970/14090]	Time 0.735 (0.760)	Data 0.001 (0.001)	Loss 2.7488 (2.7507)	Prec@1 32.031 (34.384)	Prec@5 67.188 (64.762)
Epoch: [26][10980/14090]	Time 0.772 (0.760)	Data 0.001 (0.001)	Loss 2.8575 (2.7508)	Prec@1 29.688 (34.381)	Prec@5 60.156 (64.762)
Epoch: [26][10990/14090]	Time 0.778 (0.760)	Data 0.001 (0.001)	Loss 2.4616 (2.7509)	Prec@1 39.844 (34.381)	Prec@5 69.531 (64.761)
Epoch: [26][11000/14090]	Time 0.760 (0.760)	Data 0.001 (0.001)	Loss 2.6391 (2.7509)	Prec@1 30.469 (34.380)	Prec@5 67.969 (64.762)
Epoch: [26][11010/14090]	Time 0.752 (0.760)	Data 0.001 (0.001)	Loss 3.1222 (2.7509)	Prec@1 26.562 (34.382)	Prec@5 57.812 (64.762)
Epoch: [26][11020/14090]	Time 0.742 (0.760)	Data 0.001 (0.001)	Loss 2.9404 (2.7509)	Prec@1 30.469 (34.381)	Prec@5 60.156 (64.760)
Epoch: [26][11030/14090]	Time 0.792 (0.760)	Data 0.001 (0.001)	Loss 2.5432 (2.7509)	Prec@1 37.500 (34.381)	Prec@5 70.312 (64.760)
Epoch: [26][11040/14090]	Time 0.754 (0.760)	Data 0.001 (0.001)	Loss 2.8438 (2.7509)	Prec@1 28.906 (34.379)	Prec@5 66.406 (64.758)
Epoch: [26][11050/14090]	Time 0.723 (0.760)	Data 0.001 (0.001)	Loss 3.0263 (2.7510)	Prec@1 29.688 (34.376)	Prec@5 61.719 (64.756)
Epoch: [26][11060/14090]	Time 0.729 (0.760)	Data 0.001 (0.001)	Loss 2.9267 (2.7511)	Prec@1 29.688 (34.375)	Prec@5 62.500 (64.754)
Epoch: [26][11070/14090]	Time 0.741 (0.760)	Data 0.001 (0.001)	Loss 2.6623 (2.7510)	Prec@1 39.062 (34.376)	Prec@5 66.406 (64.755)
Epoch: [26][11080/14090]	Time 0.744 (0.760)	Data 0.001 (0.001)	Loss 2.8255 (2.7510)	Prec@1 28.125 (34.374)	Prec@5 65.625 (64.756)
Epoch: [26][11090/14090]	Time 0.741 (0.760)	Data 0.001 (0.001)	Loss 2.5155 (2.7509)	Prec@1 41.406 (34.377)	Prec@5 71.875 (64.759)
Epoch: [26][11100/14090]	Time 0.830 (0.760)	Data 0.001 (0.001)	Loss 2.6931 (2.7509)	Prec@1 37.500 (34.377)	Prec@5 63.281 (64.758)
Epoch: [26][11110/14090]	Time 0.751 (0.760)	Data 0.001 (0.001)	Loss 2.6442 (2.7510)	Prec@1 28.906 (34.374)	Prec@5 64.062 (64.756)
Epoch: [26][11120/14090]	Time 0.740 (0.760)	Data 0.001 (0.001)	Loss 2.9543 (2.7510)	Prec@1 34.375 (34.374)	Prec@5 59.375 (64.757)
Epoch: [26][11130/14090]	Time 0.784 (0.760)	Data 0.001 (0.001)	Loss 2.7560 (2.7510)	Prec@1 34.375 (34.372)	Prec@5 64.844 (64.757)
Epoch: [26][11140/14090]	Time 0.742 (0.760)	Data 0.001 (0.001)	Loss 3.0153 (2.7510)	Prec@1 33.594 (34.372)	Prec@5 60.938 (64.758)
Epoch: [26][11150/14090]	Time 0.770 (0.760)	Data 0.001 (0.001)	Loss 2.8737 (2.7510)	Prec@1 36.719 (34.372)	Prec@5 64.062 (64.758)
Epoch: [26][11160/14090]	Time 0.744 (0.760)	Data 0.001 (0.001)	Loss 2.7695 (2.7510)	Prec@1 35.156 (34.370)	Prec@5 65.625 (64.757)
Epoch: [26][11170/14090]	Time 0.792 (0.760)	Data 0.001 (0.001)	Loss 2.7381 (2.7511)	Prec@1 39.844 (34.371)	Prec@5 68.750 (64.756)
Epoch: [26][11180/14090]	Time 0.742 (0.760)	Data 0.001 (0.001)	Loss 2.5521 (2.7510)	Prec@1 38.281 (34.372)	Prec@5 69.531 (64.757)
Epoch: [26][11190/14090]	Time 0.750 (0.760)	Data 0.001 (0.001)	Loss 2.4486 (2.7510)	Prec@1 44.531 (34.374)	Prec@5 69.531 (64.758)
Epoch: [26][11200/14090]	Time 0.729 (0.760)	Data 0.001 (0.001)	Loss 2.6912 (2.7510)	Prec@1 35.156 (34.373)	Prec@5 66.406 (64.758)
Epoch: [26][11210/14090]	Time 0.768 (0.760)	Data 0.001 (0.001)	Loss 2.8774 (2.7509)	Prec@1 34.375 (34.374)	Prec@5 61.719 (64.759)
Epoch: [26][11220/14090]	Time 0.757 (0.760)	Data 0.002 (0.001)	Loss 2.8262 (2.7509)	Prec@1 30.469 (34.374)	Prec@5 59.375 (64.758)
Epoch: [26][11230/14090]	Time 0.755 (0.760)	Data 0.001 (0.001)	Loss 2.9153 (2.7509)	Prec@1 34.375 (34.375)	Prec@5 60.156 (64.759)
Epoch: [26][11240/14090]	Time 0.827 (0.760)	Data 0.001 (0.001)	Loss 2.7048 (2.7508)	Prec@1 29.688 (34.376)	Prec@5 66.406 (64.759)
Epoch: [26][11250/14090]	Time 0.743 (0.760)	Data 0.001 (0.001)	Loss 2.2935 (2.7507)	Prec@1 39.844 (34.378)	Prec@5 73.438 (64.759)
Epoch: [26][11260/14090]	Time 0.736 (0.760)	Data 0.001 (0.001)	Loss 2.7209 (2.7507)	Prec@1 35.156 (34.377)	Prec@5 64.844 (64.760)
Epoch: [26][11270/14090]	Time 0.730 (0.760)	Data 0.001 (0.001)	Loss 2.8275 (2.7508)	Prec@1 34.375 (34.376)	Prec@5 61.719 (64.759)
Epoch: [26][11280/14090]	Time 0.721 (0.760)	Data 0.001 (0.001)	Loss 2.9148 (2.7508)	Prec@1 32.031 (34.375)	Prec@5 64.062 (64.758)
Epoch: [26][11290/14090]	Time 0.765 (0.760)	Data 0.001 (0.001)	Loss 2.9371 (2.7509)	Prec@1 25.781 (34.375)	Prec@5 60.938 (64.757)
Epoch: [26][11300/14090]	Time 0.752 (0.760)	Data 0.001 (0.001)	Loss 2.5864 (2.7509)	Prec@1 34.375 (34.374)	Prec@5 67.188 (64.757)
Epoch: [26][11310/14090]	Time 0.850 (0.760)	Data 0.001 (0.001)	Loss 2.6353 (2.7509)	Prec@1 33.594 (34.375)	Prec@5 65.625 (64.759)
Epoch: [26][11320/14090]	Time 0.745 (0.760)	Data 0.001 (0.001)	Loss 2.8730 (2.7508)	Prec@1 31.250 (34.375)	Prec@5 67.188 (64.760)
Epoch: [26][11330/14090]	Time 0.728 (0.760)	Data 0.001 (0.001)	Loss 2.5571 (2.7508)	Prec@1 35.156 (34.375)	Prec@5 68.750 (64.761)
Epoch: [26][11340/14090]	Time 0.760 (0.760)	Data 0.001 (0.001)	Loss 2.7302 (2.7508)	Prec@1 38.281 (34.375)	Prec@5 66.406 (64.761)
Epoch: [26][11350/14090]	Time 0.728 (0.760)	Data 0.001 (0.001)	Loss 2.5564 (2.7507)	Prec@1 39.062 (34.375)	Prec@5 64.844 (64.761)
Epoch: [26][11360/14090]	Time 0.755 (0.760)	Data 0.001 (0.001)	Loss 2.6325 (2.7507)	Prec@1 41.406 (34.378)	Prec@5 66.406 (64.762)
Epoch: [26][11370/14090]	Time 0.771 (0.760)	Data 0.001 (0.001)	Loss 2.6301 (2.7506)	Prec@1 39.844 (34.382)	Prec@5 65.625 (64.764)
Epoch: [26][11380/14090]	Time 0.776 (0.760)	Data 0.001 (0.001)	Loss 3.0577 (2.7507)	Prec@1 31.250 (34.379)	Prec@5 58.594 (64.762)
Epoch: [26][11390/14090]	Time 0.733 (0.760)	Data 0.001 (0.001)	Loss 2.7112 (2.7507)	Prec@1 34.375 (34.379)	Prec@5 64.062 (64.761)
Epoch: [26][11400/14090]	Time 0.737 (0.760)	Data 0.001 (0.001)	Loss 2.7189 (2.7508)	Prec@1 37.500 (34.380)	Prec@5 64.844 (64.759)
Epoch: [26][11410/14090]	Time 0.764 (0.760)	Data 0.001 (0.001)	Loss 2.8821 (2.7508)	Prec@1 31.250 (34.377)	Prec@5 64.844 (64.759)
Epoch: [26][11420/14090]	Time 0.733 (0.760)	Data 0.001 (0.001)	Loss 2.6845 (2.7508)	Prec@1 32.031 (34.378)	Prec@5 66.406 (64.758)
Epoch: [26][11430/14090]	Time 0.744 (0.760)	Data 0.001 (0.001)	Loss 2.8628 (2.7507)	Prec@1 35.938 (34.379)	Prec@5 60.938 (64.758)
Epoch: [26][11440/14090]	Time 0.726 (0.760)	Data 0.001 (0.001)	Loss 2.6117 (2.7508)	Prec@1 35.156 (34.380)	Prec@5 66.406 (64.758)
Epoch: [26][11450/14090]	Time 0.802 (0.760)	Data 0.001 (0.001)	Loss 2.6955 (2.7507)	Prec@1 36.719 (34.381)	Prec@5 70.312 (64.759)
Epoch: [26][11460/14090]	Time 0.740 (0.760)	Data 0.001 (0.001)	Loss 2.6216 (2.7507)	Prec@1 35.938 (34.381)	Prec@5 64.062 (64.758)
Epoch: [26][11470/14090]	Time 0.726 (0.760)	Data 0.001 (0.001)	Loss 2.6179 (2.7507)	Prec@1 37.500 (34.382)	Prec@5 64.062 (64.758)
Epoch: [26][11480/14090]	Time 0.741 (0.760)	Data 0.001 (0.001)	Loss 2.8593 (2.7507)	Prec@1 35.938 (34.382)	Prec@5 65.625 (64.758)
Epoch: [26][11490/14090]	Time 0.767 (0.760)	Data 0.001 (0.001)	Loss 2.7787 (2.7508)	Prec@1 36.719 (34.380)	Prec@5 60.938 (64.756)
Epoch: [26][11500/14090]	Time 0.764 (0.760)	Data 0.001 (0.001)	Loss 2.5829 (2.7507)	Prec@1 38.281 (34.382)	Prec@5 71.875 (64.759)
Epoch: [26][11510/14090]	Time 0.744 (0.760)	Data 0.001 (0.001)	Loss 2.8719 (2.7508)	Prec@1 32.031 (34.381)	Prec@5 57.812 (64.758)
Epoch: [26][11520/14090]	Time 0.783 (0.760)	Data 0.001 (0.001)	Loss 2.6049 (2.7507)	Prec@1 42.969 (34.383)	Prec@5 67.969 (64.758)
Epoch: [26][11530/14090]	Time 0.758 (0.760)	Data 0.001 (0.001)	Loss 2.5614 (2.7508)	Prec@1 32.031 (34.380)	Prec@5 71.875 (64.758)
Epoch: [26][11540/14090]	Time 0.757 (0.760)	Data 0.001 (0.001)	Loss 3.0522 (2.7509)	Prec@1 27.344 (34.378)	Prec@5 57.031 (64.757)
Epoch: [26][11550/14090]	Time 0.758 (0.760)	Data 0.001 (0.001)	Loss 2.8988 (2.7509)	Prec@1 28.125 (34.378)	Prec@5 65.625 (64.757)
Epoch: [26][11560/14090]	Time 0.783 (0.760)	Data 0.001 (0.001)	Loss 2.5325 (2.7508)	Prec@1 37.500 (34.378)	Prec@5 67.969 (64.758)
Epoch: [26][11570/14090]	Time 0.784 (0.760)	Data 0.001 (0.001)	Loss 2.7500 (2.7508)	Prec@1 36.719 (34.380)	Prec@5 65.625 (64.758)
Epoch: [26][11580/14090]	Time 0.749 (0.760)	Data 0.001 (0.001)	Loss 3.2135 (2.7508)	Prec@1 28.906 (34.380)	Prec@5 53.906 (64.757)
Epoch: [26][11590/14090]	Time 0.861 (0.760)	Data 0.001 (0.001)	Loss 2.7513 (2.7508)	Prec@1 32.031 (34.381)	Prec@5 67.188 (64.757)
Epoch: [26][11600/14090]	Time 0.753 (0.760)	Data 0.001 (0.001)	Loss 2.3457 (2.7507)	Prec@1 46.875 (34.383)	Prec@5 73.438 (64.758)
Epoch: [26][11610/14090]	Time 0.761 (0.760)	Data 0.001 (0.001)	Loss 2.8061 (2.7508)	Prec@1 32.812 (34.384)	Prec@5 62.500 (64.758)
Epoch: [26][11620/14090]	Time 0.751 (0.760)	Data 0.001 (0.001)	Loss 2.5191 (2.7508)	Prec@1 39.844 (34.384)	Prec@5 69.531 (64.758)
Epoch: [26][11630/14090]	Time 0.723 (0.760)	Data 0.001 (0.001)	Loss 2.7842 (2.7507)	Prec@1 34.375 (34.385)	Prec@5 60.156 (64.759)
Epoch: [26][11640/14090]	Time 0.782 (0.760)	Data 0.001 (0.001)	Loss 2.8938 (2.7507)	Prec@1 32.812 (34.386)	Prec@5 57.031 (64.758)
Epoch: [26][11650/14090]	Time 0.727 (0.760)	Data 0.001 (0.001)	Loss 2.8873 (2.7507)	Prec@1 33.594 (34.386)	Prec@5 64.062 (64.758)
Epoch: [26][11660/14090]	Time 0.830 (0.760)	Data 0.001 (0.001)	Loss 3.2477 (2.7507)	Prec@1 29.688 (34.387)	Prec@5 56.250 (64.757)
Epoch: [26][11670/14090]	Time 0.755 (0.760)	Data 0.001 (0.001)	Loss 3.0231 (2.7507)	Prec@1 30.469 (34.387)	Prec@5 57.031 (64.757)
Epoch: [26][11680/14090]	Time 0.737 (0.760)	Data 0.001 (0.001)	Loss 2.5572 (2.7508)	Prec@1 40.625 (34.387)	Prec@5 69.531 (64.754)
Epoch: [26][11690/14090]	Time 0.742 (0.760)	Data 0.001 (0.001)	Loss 2.8662 (2.7508)	Prec@1 30.469 (34.387)	Prec@5 59.375 (64.752)
Epoch: [26][11700/14090]	Time 0.730 (0.760)	Data 0.001 (0.001)	Loss 2.5852 (2.7508)	Prec@1 39.062 (34.388)	Prec@5 64.844 (64.752)
Epoch: [26][11710/14090]	Time 0.740 (0.760)	Data 0.001 (0.001)	Loss 2.4662 (2.7508)	Prec@1 36.719 (34.388)	Prec@5 69.531 (64.753)
Epoch: [26][11720/14090]	Time 0.734 (0.760)	Data 0.001 (0.001)	Loss 2.5948 (2.7508)	Prec@1 42.969 (34.388)	Prec@5 64.844 (64.752)
Epoch: [26][11730/14090]	Time 0.846 (0.760)	Data 0.001 (0.001)	Loss 2.7824 (2.7508)	Prec@1 36.719 (34.389)	Prec@5 62.500 (64.752)
Epoch: [26][11740/14090]	Time 0.751 (0.760)	Data 0.001 (0.001)	Loss 2.4605 (2.7507)	Prec@1 43.750 (34.390)	Prec@5 69.531 (64.753)
Epoch: [26][11750/14090]	Time 0.755 (0.760)	Data 0.001 (0.001)	Loss 2.6148 (2.7507)	Prec@1 31.250 (34.391)	Prec@5 65.625 (64.753)
Epoch: [26][11760/14090]	Time 0.759 (0.760)	Data 0.001 (0.001)	Loss 2.5553 (2.7507)	Prec@1 40.625 (34.393)	Prec@5 67.969 (64.752)
Epoch: [26][11770/14090]	Time 0.740 (0.760)	Data 0.001 (0.001)	Loss 2.6848 (2.7506)	Prec@1 36.719 (34.395)	Prec@5 63.281 (64.753)
Epoch: [26][11780/14090]	Time 0.743 (0.760)	Data 0.001 (0.001)	Loss 2.7532 (2.7506)	Prec@1 41.406 (34.395)	Prec@5 61.719 (64.753)
Epoch: [26][11790/14090]	Time 0.725 (0.760)	Data 0.001 (0.001)	Loss 3.0139 (2.7506)	Prec@1 25.781 (34.395)	Prec@5 59.375 (64.754)
Epoch: [26][11800/14090]	Time 0.834 (0.760)	Data 0.001 (0.001)	Loss 2.5867 (2.7506)	Prec@1 40.625 (34.394)	Prec@5 69.531 (64.753)
Epoch: [26][11810/14090]	Time 0.776 (0.760)	Data 0.001 (0.001)	Loss 2.6868 (2.7507)	Prec@1 31.250 (34.393)	Prec@5 67.188 (64.753)
Epoch: [26][11820/14090]	Time 0.745 (0.760)	Data 0.001 (0.001)	Loss 2.6854 (2.7507)	Prec@1 36.719 (34.393)	Prec@5 67.969 (64.752)
Epoch: [26][11830/14090]	Time 0.743 (0.760)	Data 0.001 (0.001)	Loss 2.7223 (2.7508)	Prec@1 36.719 (34.391)	Prec@5 66.406 (64.751)
Epoch: [26][11840/14090]	Time 0.760 (0.760)	Data 0.001 (0.001)	Loss 2.5496 (2.7508)	Prec@1 32.812 (34.390)	Prec@5 70.312 (64.751)
Epoch: [26][11850/14090]	Time 0.754 (0.760)	Data 0.001 (0.001)	Loss 2.8545 (2.7509)	Prec@1 35.156 (34.391)	Prec@5 59.375 (64.749)
Epoch: [26][11860/14090]	Time 0.756 (0.760)	Data 0.001 (0.001)	Loss 2.9575 (2.7509)	Prec@1 30.469 (34.389)	Prec@5 56.250 (64.748)
Epoch: [26][11870/14090]	Time 0.837 (0.760)	Data 0.001 (0.001)	Loss 2.9167 (2.7510)	Prec@1 31.250 (34.389)	Prec@5 61.719 (64.747)
Epoch: [26][11880/14090]	Time 0.774 (0.760)	Data 0.001 (0.001)	Loss 2.7937 (2.7510)	Prec@1 32.812 (34.390)	Prec@5 63.281 (64.746)
Epoch: [26][11890/14090]	Time 0.761 (0.760)	Data 0.001 (0.001)	Loss 2.8441 (2.7509)	Prec@1 32.031 (34.391)	Prec@5 66.406 (64.747)
Epoch: [26][11900/14090]	Time 0.748 (0.760)	Data 0.001 (0.001)	Loss 2.7583 (2.7509)	Prec@1 38.281 (34.391)	Prec@5 66.406 (64.747)
Epoch: [26][11910/14090]	Time 0.735 (0.760)	Data 0.001 (0.001)	Loss 2.6238 (2.7509)	Prec@1 38.281 (34.391)	Prec@5 68.750 (64.747)
Epoch: [26][11920/14090]	Time 0.733 (0.760)	Data 0.001 (0.001)	Loss 2.6737 (2.7509)	Prec@1 39.844 (34.392)	Prec@5 64.844 (64.748)
Epoch: [26][11930/14090]	Time 0.781 (0.760)	Data 0.001 (0.001)	Loss 2.5367 (2.7509)	Prec@1 39.844 (34.394)	Prec@5 64.844 (64.748)
Epoch: [26][11940/14090]	Time 0.800 (0.760)	Data 0.001 (0.001)	Loss 2.4574 (2.7509)	Prec@1 41.406 (34.396)	Prec@5 71.875 (64.748)
Epoch: [26][11950/14090]	Time 0.731 (0.760)	Data 0.001 (0.001)	Loss 2.4467 (2.7510)	Prec@1 39.844 (34.394)	Prec@5 73.438 (64.748)
Epoch: [26][11960/14090]	Time 0.734 (0.760)	Data 0.001 (0.001)	Loss 3.0507 (2.7509)	Prec@1 29.688 (34.396)	Prec@5 61.719 (64.748)
Epoch: [26][11970/14090]	Time 0.758 (0.760)	Data 0.001 (0.001)	Loss 2.6352 (2.7510)	Prec@1 39.062 (34.396)	Prec@5 70.312 (64.747)
Epoch: [26][11980/14090]	Time 0.771 (0.760)	Data 0.001 (0.001)	Loss 2.7343 (2.7510)	Prec@1 35.938 (34.396)	Prec@5 64.844 (64.748)
Epoch: [26][11990/14090]	Time 0.760 (0.760)	Data 0.001 (0.001)	Loss 2.6870 (2.7510)	Prec@1 32.031 (34.396)	Prec@5 65.625 (64.748)
Epoch: [26][12000/14090]	Time 0.748 (0.760)	Data 0.001 (0.001)	Loss 2.7783 (2.7510)	Prec@1 34.375 (34.395)	Prec@5 64.844 (64.748)
Epoch: [26][12010/14090]	Time 0.807 (0.760)	Data 0.001 (0.001)	Loss 2.7783 (2.7510)	Prec@1 33.594 (34.396)	Prec@5 64.844 (64.749)
Epoch: [26][12020/14090]	Time 0.747 (0.760)	Data 0.001 (0.001)	Loss 2.9092 (2.7510)	Prec@1 32.812 (34.396)	Prec@5 61.719 (64.750)
Epoch: [26][12030/14090]	Time 0.725 (0.760)	Data 0.001 (0.001)	Loss 2.8039 (2.7510)	Prec@1 37.500 (34.396)	Prec@5 66.406 (64.750)
Epoch: [26][12040/14090]	Time 0.763 (0.760)	Data 0.001 (0.001)	Loss 2.8205 (2.7510)	Prec@1 37.500 (34.397)	Prec@5 61.719 (64.749)
Epoch: [26][12050/14090]	Time 0.783 (0.760)	Data 0.001 (0.001)	Loss 2.5492 (2.7510)	Prec@1 44.531 (34.399)	Prec@5 68.750 (64.750)
Epoch: [26][12060/14090]	Time 0.747 (0.760)	Data 0.001 (0.001)	Loss 2.9988 (2.7511)	Prec@1 30.469 (34.398)	Prec@5 57.031 (64.749)
Epoch: [26][12070/14090]	Time 0.753 (0.760)	Data 0.002 (0.001)	Loss 2.4881 (2.7510)	Prec@1 39.062 (34.398)	Prec@5 72.656 (64.749)
Epoch: [26][12080/14090]	Time 0.816 (0.760)	Data 0.001 (0.001)	Loss 2.3893 (2.7509)	Prec@1 39.062 (34.400)	Prec@5 71.875 (64.750)
Epoch: [26][12090/14090]	Time 0.741 (0.760)	Data 0.001 (0.001)	Loss 2.6561 (2.7509)	Prec@1 28.906 (34.398)	Prec@5 70.312 (64.750)
Epoch: [26][12100/14090]	Time 0.740 (0.760)	Data 0.001 (0.001)	Loss 2.7678 (2.7510)	Prec@1 28.906 (34.397)	Prec@5 68.750 (64.750)
Epoch: [26][12110/14090]	Time 0.756 (0.760)	Data 0.001 (0.001)	Loss 2.7627 (2.7509)	Prec@1 31.250 (34.397)	Prec@5 64.844 (64.750)
Epoch: [26][12120/14090]	Time 0.751 (0.760)	Data 0.001 (0.001)	Loss 2.7888 (2.7509)	Prec@1 32.812 (34.398)	Prec@5 63.281 (64.750)
Epoch: [26][12130/14090]	Time 0.757 (0.760)	Data 0.001 (0.001)	Loss 2.4555 (2.7509)	Prec@1 38.281 (34.399)	Prec@5 69.531 (64.752)
Epoch: [26][12140/14090]	Time 0.784 (0.760)	Data 0.001 (0.001)	Loss 2.6367 (2.7509)	Prec@1 39.062 (34.399)	Prec@5 66.406 (64.752)
Epoch: [26][12150/14090]	Time 0.779 (0.760)	Data 0.001 (0.001)	Loss 2.6576 (2.7509)	Prec@1 35.938 (34.401)	Prec@5 63.281 (64.751)
Epoch: [26][12160/14090]	Time 0.757 (0.760)	Data 0.001 (0.001)	Loss 2.7570 (2.7509)	Prec@1 35.938 (34.402)	Prec@5 64.062 (64.750)
Epoch: [26][12170/14090]	Time 0.769 (0.760)	Data 0.001 (0.001)	Loss 2.6769 (2.7509)	Prec@1 38.281 (34.402)	Prec@5 61.719 (64.750)
Epoch: [26][12180/14090]	Time 0.733 (0.760)	Data 0.001 (0.001)	Loss 2.7932 (2.7509)	Prec@1 28.125 (34.401)	Prec@5 58.594 (64.749)
Epoch: [26][12190/14090]	Time 0.766 (0.760)	Data 0.001 (0.001)	Loss 2.7262 (2.7508)	Prec@1 33.594 (34.403)	Prec@5 67.188 (64.751)
Epoch: [26][12200/14090]	Time 0.755 (0.760)	Data 0.001 (0.001)	Loss 2.5509 (2.7507)	Prec@1 38.281 (34.406)	Prec@5 68.750 (64.753)
Epoch: [26][12210/14090]	Time 0.743 (0.760)	Data 0.001 (0.001)	Loss 2.8173 (2.7507)	Prec@1 32.812 (34.405)	Prec@5 66.406 (64.753)
Epoch: [26][12220/14090]	Time 0.806 (0.760)	Data 0.001 (0.001)	Loss 2.4868 (2.7506)	Prec@1 36.719 (34.405)	Prec@5 70.312 (64.755)
Epoch: [26][12230/14090]	Time 0.751 (0.760)	Data 0.001 (0.001)	Loss 2.6129 (2.7507)	Prec@1 39.062 (34.405)	Prec@5 63.281 (64.755)
Epoch: [26][12240/14090]	Time 0.734 (0.760)	Data 0.001 (0.001)	Loss 2.6690 (2.7507)	Prec@1 36.719 (34.405)	Prec@5 64.844 (64.755)
Epoch: [26][12250/14090]	Time 0.757 (0.760)	Data 0.001 (0.001)	Loss 2.9424 (2.7507)	Prec@1 28.906 (34.403)	Prec@5 64.844 (64.754)
Epoch: [26][12260/14090]	Time 0.759 (0.760)	Data 0.001 (0.001)	Loss 2.8681 (2.7507)	Prec@1 32.031 (34.403)	Prec@5 60.938 (64.754)
Epoch: [26][12270/14090]	Time 0.761 (0.760)	Data 0.001 (0.001)	Loss 2.9711 (2.7508)	Prec@1 33.594 (34.402)	Prec@5 57.812 (64.754)
Epoch: [26][12280/14090]	Time 0.730 (0.760)	Data 0.003 (0.001)	Loss 2.5072 (2.7507)	Prec@1 37.500 (34.401)	Prec@5 67.969 (64.756)
Epoch: [26][12290/14090]	Time 0.796 (0.760)	Data 0.001 (0.001)	Loss 2.7587 (2.7507)	Prec@1 35.938 (34.402)	Prec@5 67.188 (64.755)
Epoch: [26][12300/14090]	Time 0.729 (0.760)	Data 0.001 (0.001)	Loss 2.5754 (2.7507)	Prec@1 39.844 (34.404)	Prec@5 70.312 (64.756)
Epoch: [26][12310/14090]	Time 0.737 (0.760)	Data 0.001 (0.001)	Loss 2.7868 (2.7508)	Prec@1 36.719 (34.403)	Prec@5 58.594 (64.754)
Epoch: [26][12320/14090]	Time 0.742 (0.760)	Data 0.001 (0.001)	Loss 2.5913 (2.7508)	Prec@1 34.375 (34.403)	Prec@5 64.062 (64.753)
Epoch: [26][12330/14090]	Time 0.771 (0.760)	Data 0.001 (0.001)	Loss 2.9016 (2.7508)	Prec@1 33.594 (34.404)	Prec@5 60.938 (64.753)
Epoch: [26][12340/14090]	Time 0.752 (0.760)	Data 0.001 (0.001)	Loss 2.5571 (2.7508)	Prec@1 38.281 (34.404)	Prec@5 69.531 (64.752)
Epoch: [26][12350/14090]	Time 0.756 (0.760)	Data 0.001 (0.001)	Loss 2.8730 (2.7509)	Prec@1 30.469 (34.403)	Prec@5 59.375 (64.750)
Epoch: [26][12360/14090]	Time 0.801 (0.760)	Data 0.001 (0.001)	Loss 2.4756 (2.7509)	Prec@1 39.844 (34.403)	Prec@5 71.094 (64.751)
Epoch: [26][12370/14090]	Time 0.735 (0.760)	Data 0.001 (0.001)	Loss 3.0248 (2.7509)	Prec@1 30.469 (34.403)	Prec@5 53.125 (64.750)
Epoch: [26][12380/14090]	Time 0.775 (0.760)	Data 0.001 (0.001)	Loss 2.8756 (2.7509)	Prec@1 32.031 (34.402)	Prec@5 60.938 (64.750)
Epoch: [26][12390/14090]	Time 0.750 (0.760)	Data 0.001 (0.001)	Loss 2.8149 (2.7509)	Prec@1 32.031 (34.402)	Prec@5 64.062 (64.752)
Epoch: [26][12400/14090]	Time 0.745 (0.760)	Data 0.001 (0.001)	Loss 2.6381 (2.7508)	Prec@1 38.281 (34.403)	Prec@5 67.188 (64.754)
Epoch: [26][12410/14090]	Time 0.752 (0.760)	Data 0.001 (0.001)	Loss 2.5411 (2.7508)	Prec@1 35.938 (34.405)	Prec@5 70.312 (64.756)
Epoch: [26][12420/14090]	Time 0.739 (0.760)	Data 0.001 (0.001)	Loss 2.4714 (2.7508)	Prec@1 39.844 (34.404)	Prec@5 71.875 (64.757)
Epoch: [26][12430/14090]	Time 0.762 (0.760)	Data 0.001 (0.001)	Loss 2.6983 (2.7508)	Prec@1 37.500 (34.403)	Prec@5 66.406 (64.756)
Epoch: [26][12440/14090]	Time 0.755 (0.760)	Data 0.001 (0.001)	Loss 2.2347 (2.7508)	Prec@1 39.844 (34.402)	Prec@5 73.438 (64.756)
Epoch: [26][12450/14090]	Time 0.745 (0.760)	Data 0.001 (0.001)	Loss 2.7103 (2.7508)	Prec@1 33.594 (34.402)	Prec@5 68.750 (64.757)
Epoch: [26][12460/14090]	Time 0.788 (0.760)	Data 0.001 (0.001)	Loss 2.9156 (2.7508)	Prec@1 30.469 (34.402)	Prec@5 63.281 (64.757)
Epoch: [26][12470/14090]	Time 0.750 (0.760)	Data 0.001 (0.001)	Loss 3.0570 (2.7509)	Prec@1 25.781 (34.401)	Prec@5 62.500 (64.757)
Epoch: [26][12480/14090]	Time 0.762 (0.760)	Data 0.001 (0.001)	Loss 2.5013 (2.7509)	Prec@1 31.250 (34.402)	Prec@5 66.406 (64.758)
Epoch: [26][12490/14090]	Time 0.758 (0.760)	Data 0.001 (0.001)	Loss 2.8851 (2.7508)	Prec@1 34.375 (34.402)	Prec@5 60.938 (64.759)
Epoch: [26][12500/14090]	Time 0.805 (0.760)	Data 0.002 (0.001)	Loss 2.8329 (2.7508)	Prec@1 32.031 (34.403)	Prec@5 54.688 (64.760)
Epoch: [26][12510/14090]	Time 0.738 (0.760)	Data 0.001 (0.001)	Loss 2.7489 (2.7507)	Prec@1 39.062 (34.406)	Prec@5 67.969 (64.761)
Epoch: [26][12520/14090]	Time 0.733 (0.760)	Data 0.001 (0.001)	Loss 2.9255 (2.7507)	Prec@1 32.812 (34.403)	Prec@5 58.594 (64.762)
Epoch: [26][12530/14090]	Time 0.741 (0.760)	Data 0.001 (0.001)	Loss 2.8754 (2.7507)	Prec@1 37.500 (34.403)	Prec@5 59.375 (64.762)
Epoch: [26][12540/14090]	Time 0.754 (0.760)	Data 0.001 (0.001)	Loss 2.6461 (2.7507)	Prec@1 35.156 (34.406)	Prec@5 64.062 (64.763)
Epoch: [26][12550/14090]	Time 0.759 (0.760)	Data 0.001 (0.001)	Loss 2.6163 (2.7507)	Prec@1 37.500 (34.405)	Prec@5 69.531 (64.763)
Epoch: [26][12560/14090]	Time 0.735 (0.760)	Data 0.001 (0.001)	Loss 2.6558 (2.7508)	Prec@1 38.281 (34.404)	Prec@5 66.406 (64.763)
Epoch: [26][12570/14090]	Time 0.806 (0.760)	Data 0.001 (0.001)	Loss 2.7136 (2.7508)	Prec@1 35.938 (34.403)	Prec@5 65.625 (64.762)
Epoch: [26][12580/14090]	Time 0.743 (0.760)	Data 0.001 (0.001)	Loss 2.9218 (2.7508)	Prec@1 32.031 (34.402)	Prec@5 65.625 (64.762)
Epoch: [26][12590/14090]	Time 0.756 (0.760)	Data 0.001 (0.001)	Loss 2.7865 (2.7508)	Prec@1 32.031 (34.402)	Prec@5 66.406 (64.762)
Epoch: [26][12600/14090]	Time 0.759 (0.760)	Data 0.001 (0.001)	Loss 3.0766 (2.7509)	Prec@1 30.469 (34.401)	Prec@5 51.562 (64.759)
Epoch: [26][12610/14090]	Time 0.757 (0.760)	Data 0.001 (0.001)	Loss 2.5977 (2.7509)	Prec@1 37.500 (34.401)	Prec@5 67.188 (64.759)
Epoch: [26][12620/14090]	Time 0.732 (0.760)	Data 0.002 (0.001)	Loss 2.5675 (2.7509)	Prec@1 41.406 (34.402)	Prec@5 68.750 (64.758)
Epoch: [26][12630/14090]	Time 0.755 (0.760)	Data 0.001 (0.001)	Loss 2.8750 (2.7509)	Prec@1 33.594 (34.402)	Prec@5 58.594 (64.758)
Epoch: [26][12640/14090]	Time 0.757 (0.760)	Data 0.001 (0.001)	Loss 2.8143 (2.7509)	Prec@1 38.281 (34.404)	Prec@5 64.062 (64.758)
Epoch: [26][12650/14090]	Time 0.722 (0.760)	Data 0.001 (0.001)	Loss 2.3735 (2.7509)	Prec@1 42.188 (34.403)	Prec@5 71.094 (64.757)
Epoch: [26][12660/14090]	Time 0.754 (0.760)	Data 0.001 (0.001)	Loss 2.7821 (2.7509)	Prec@1 31.250 (34.404)	Prec@5 63.281 (64.758)
Epoch: [26][12670/14090]	Time 0.755 (0.760)	Data 0.001 (0.001)	Loss 2.6554 (2.7509)	Prec@1 35.938 (34.406)	Prec@5 63.281 (64.758)
Epoch: [26][12680/14090]	Time 0.756 (0.760)	Data 0.001 (0.001)	Loss 2.7021 (2.7508)	Prec@1 37.500 (34.406)	Prec@5 64.844 (64.759)
Epoch: [26][12690/14090]	Time 0.771 (0.760)	Data 0.001 (0.001)	Loss 2.5467 (2.7508)	Prec@1 40.625 (34.407)	Prec@5 69.531 (64.760)
Epoch: [26][12700/14090]	Time 0.718 (0.760)	Data 0.001 (0.001)	Loss 2.5694 (2.7508)	Prec@1 37.500 (34.406)	Prec@5 64.062 (64.759)
Epoch: [26][12710/14090]	Time 0.803 (0.760)	Data 0.001 (0.001)	Loss 2.6522 (2.7508)	Prec@1 36.719 (34.407)	Prec@5 67.188 (64.760)
Epoch: [26][12720/14090]	Time 0.785 (0.760)	Data 0.001 (0.001)	Loss 2.7223 (2.7508)	Prec@1 32.812 (34.407)	Prec@5 66.406 (64.760)
Epoch: [26][12730/14090]	Time 0.738 (0.760)	Data 0.001 (0.001)	Loss 2.4675 (2.7508)	Prec@1 37.500 (34.407)	Prec@5 69.531 (64.761)
Epoch: [26][12740/14090]	Time 0.739 (0.760)	Data 0.001 (0.001)	Loss 2.4743 (2.7507)	Prec@1 38.281 (34.409)	Prec@5 73.438 (64.763)
Epoch: [26][12750/14090]	Time 0.724 (0.760)	Data 0.001 (0.001)	Loss 2.7266 (2.7507)	Prec@1 35.938 (34.409)	Prec@5 64.844 (64.763)
Epoch: [26][12760/14090]	Time 0.737 (0.760)	Data 0.001 (0.001)	Loss 2.7788 (2.7507)	Prec@1 33.594 (34.408)	Prec@5 61.719 (64.762)
Epoch: [26][12770/14090]	Time 0.752 (0.760)	Data 0.001 (0.001)	Loss 2.4441 (2.7508)	Prec@1 38.281 (34.408)	Prec@5 68.750 (64.761)
Epoch: [26][12780/14090]	Time 0.810 (0.760)	Data 0.001 (0.001)	Loss 2.8961 (2.7508)	Prec@1 32.031 (34.409)	Prec@5 61.719 (64.759)
Epoch: [26][12790/14090]	Time 0.746 (0.760)	Data 0.001 (0.001)	Loss 2.8225 (2.7508)	Prec@1 32.031 (34.408)	Prec@5 60.938 (64.759)
Epoch: [26][12800/14090]	Time 0.736 (0.760)	Data 0.001 (0.001)	Loss 2.5053 (2.7507)	Prec@1 36.719 (34.409)	Prec@5 66.406 (64.761)
Epoch: [26][12810/14090]	Time 0.734 (0.760)	Data 0.001 (0.001)	Loss 2.8742 (2.7507)	Prec@1 31.250 (34.410)	Prec@5 60.156 (64.761)
Epoch: [26][12820/14090]	Time 0.767 (0.760)	Data 0.001 (0.001)	Loss 3.0749 (2.7508)	Prec@1 32.031 (34.408)	Prec@5 55.469 (64.761)
Epoch: [26][12830/14090]	Time 0.756 (0.760)	Data 0.001 (0.001)	Loss 2.5605 (2.7508)	Prec@1 33.594 (34.408)	Prec@5 66.406 (64.761)
Epoch: [26][12840/14090]	Time 0.738 (0.760)	Data 0.001 (0.001)	Loss 2.6801 (2.7508)	Prec@1 36.719 (34.409)	Prec@5 66.406 (64.761)
Epoch: [26][12850/14090]	Time 0.775 (0.760)	Data 0.001 (0.001)	Loss 2.7615 (2.7508)	Prec@1 31.250 (34.409)	Prec@5 64.844 (64.760)
Epoch: [26][12860/14090]	Time 0.752 (0.760)	Data 0.001 (0.001)	Loss 2.8687 (2.7508)	Prec@1 32.031 (34.410)	Prec@5 61.719 (64.761)
Epoch: [26][12870/14090]	Time 0.759 (0.760)	Data 0.001 (0.001)	Loss 2.9846 (2.7508)	Prec@1 34.375 (34.410)	Prec@5 59.375 (64.762)
Epoch: [26][12880/14090]	Time 0.746 (0.760)	Data 0.001 (0.001)	Loss 2.8734 (2.7508)	Prec@1 33.594 (34.409)	Prec@5 64.844 (64.759)
Epoch: [26][12890/14090]	Time 0.762 (0.760)	Data 0.001 (0.001)	Loss 2.7550 (2.7508)	Prec@1 33.594 (34.409)	Prec@5 65.625 (64.759)
Epoch: [26][12900/14090]	Time 0.724 (0.760)	Data 0.001 (0.001)	Loss 2.6687 (2.7509)	Prec@1 32.812 (34.409)	Prec@5 74.219 (64.760)
Epoch: [26][12910/14090]	Time 0.788 (0.760)	Data 0.001 (0.001)	Loss 2.6959 (2.7508)	Prec@1 30.469 (34.410)	Prec@5 64.844 (64.759)
Epoch: [26][12920/14090]	Time 0.834 (0.760)	Data 0.001 (0.001)	Loss 3.0016 (2.7509)	Prec@1 28.906 (34.409)	Prec@5 63.281 (64.758)
Epoch: [26][12930/14090]	Time 0.776 (0.760)	Data 0.001 (0.001)	Loss 2.6280 (2.7509)	Prec@1 39.062 (34.409)	Prec@5 68.750 (64.758)
Epoch: [26][12940/14090]	Time 0.769 (0.760)	Data 0.001 (0.001)	Loss 2.6980 (2.7509)	Prec@1 36.719 (34.410)	Prec@5 67.188 (64.758)
Epoch: [26][12950/14090]	Time 0.783 (0.760)	Data 0.001 (0.001)	Loss 2.9546 (2.7509)	Prec@1 35.938 (34.410)	Prec@5 61.719 (64.759)
Epoch: [26][12960/14090]	Time 0.786 (0.760)	Data 0.001 (0.001)	Loss 2.7624 (2.7509)	Prec@1 28.906 (34.409)	Prec@5 67.188 (64.759)
Epoch: [26][12970/14090]	Time 0.733 (0.760)	Data 0.001 (0.001)	Loss 2.6325 (2.7509)	Prec@1 40.625 (34.411)	Prec@5 71.094 (64.761)
Epoch: [26][12980/14090]	Time 0.760 (0.760)	Data 0.001 (0.001)	Loss 2.6628 (2.7508)	Prec@1 31.250 (34.410)	Prec@5 61.719 (64.762)
Epoch: [26][12990/14090]	Time 0.872 (0.760)	Data 0.001 (0.001)	Loss 2.6979 (2.7508)	Prec@1 41.406 (34.412)	Prec@5 66.406 (64.764)
Epoch: [26][13000/14090]	Time 0.731 (0.760)	Data 0.001 (0.001)	Loss 2.7794 (2.7508)	Prec@1 29.688 (34.412)	Prec@5 65.625 (64.765)
Epoch: [26][13010/14090]	Time 0.766 (0.760)	Data 0.001 (0.001)	Loss 2.8678 (2.7509)	Prec@1 28.125 (34.412)	Prec@5 62.500 (64.764)
Epoch: [26][13020/14090]	Time 0.734 (0.760)	Data 0.001 (0.001)	Loss 2.9551 (2.7509)	Prec@1 35.156 (34.413)	Prec@5 59.375 (64.763)
Epoch: [26][13030/14090]	Time 0.755 (0.760)	Data 0.001 (0.001)	Loss 2.5532 (2.7509)	Prec@1 34.375 (34.412)	Prec@5 74.219 (64.764)
Epoch: [26][13040/14090]	Time 0.774 (0.760)	Data 0.001 (0.001)	Loss 2.3414 (2.7508)	Prec@1 42.969 (34.413)	Prec@5 78.125 (64.764)
Epoch: [26][13050/14090]	Time 0.738 (0.760)	Data 0.001 (0.001)	Loss 2.8503 (2.7508)	Prec@1 35.938 (34.413)	Prec@5 62.500 (64.763)
Epoch: [26][13060/14090]	Time 0.822 (0.760)	Data 0.001 (0.001)	Loss 2.5393 (2.7507)	Prec@1 38.281 (34.413)	Prec@5 70.312 (64.764)
Epoch: [26][13070/14090]	Time 0.733 (0.760)	Data 0.001 (0.001)	Loss 2.5348 (2.7507)	Prec@1 32.812 (34.413)	Prec@5 71.094 (64.766)
Epoch: [26][13080/14090]	Time 0.729 (0.760)	Data 0.001 (0.001)	Loss 2.8860 (2.7507)	Prec@1 26.562 (34.414)	Prec@5 57.812 (64.766)
Epoch: [26][13090/14090]	Time 0.751 (0.760)	Data 0.001 (0.001)	Loss 2.8457 (2.7507)	Prec@1 30.469 (34.413)	Prec@5 62.500 (64.765)
Epoch: [26][13100/14090]	Time 0.727 (0.760)	Data 0.001 (0.001)	Loss 3.0459 (2.7506)	Prec@1 27.344 (34.414)	Prec@5 58.594 (64.766)
Epoch: [26][13110/14090]	Time 0.751 (0.760)	Data 0.001 (0.001)	Loss 2.7428 (2.7507)	Prec@1 32.812 (34.413)	Prec@5 68.750 (64.767)
Epoch: [26][13120/14090]	Time 0.743 (0.760)	Data 0.001 (0.001)	Loss 2.7348 (2.7507)	Prec@1 35.938 (34.414)	Prec@5 64.844 (64.767)
Epoch: [26][13130/14090]	Time 0.792 (0.760)	Data 0.005 (0.001)	Loss 2.7343 (2.7506)	Prec@1 32.031 (34.414)	Prec@5 67.188 (64.768)
Epoch: [26][13140/14090]	Time 0.771 (0.760)	Data 0.001 (0.001)	Loss 2.6507 (2.7507)	Prec@1 35.156 (34.414)	Prec@5 67.188 (64.768)
Epoch: [26][13150/14090]	Time 0.745 (0.760)	Data 0.001 (0.001)	Loss 2.6082 (2.7507)	Prec@1 32.031 (34.415)	Prec@5 73.438 (64.767)
Epoch: [26][13160/14090]	Time 0.733 (0.760)	Data 0.001 (0.001)	Loss 2.7326 (2.7507)	Prec@1 35.156 (34.414)	Prec@5 65.625 (64.767)
Epoch: [26][13170/14090]	Time 0.769 (0.760)	Data 0.001 (0.001)	Loss 2.8005 (2.7506)	Prec@1 38.281 (34.417)	Prec@5 63.281 (64.770)
Epoch: [26][13180/14090]	Time 0.754 (0.760)	Data 0.001 (0.001)	Loss 3.0333 (2.7506)	Prec@1 28.906 (34.415)	Prec@5 57.031 (64.769)
Epoch: [26][13190/14090]	Time 0.767 (0.760)	Data 0.001 (0.001)	Loss 2.6178 (2.7506)	Prec@1 39.844 (34.415)	Prec@5 67.188 (64.769)
Epoch: [26][13200/14090]	Time 0.815 (0.760)	Data 0.001 (0.001)	Loss 2.6672 (2.7507)	Prec@1 33.594 (34.413)	Prec@5 67.188 (64.767)
Epoch: [26][13210/14090]	Time 0.754 (0.760)	Data 0.001 (0.001)	Loss 2.8210 (2.7507)	Prec@1 32.031 (34.412)	Prec@5 62.500 (64.766)
Epoch: [26][13220/14090]	Time 0.734 (0.760)	Data 0.001 (0.001)	Loss 2.9316 (2.7508)	Prec@1 33.594 (34.412)	Prec@5 61.719 (64.765)
Epoch: [26][13230/14090]	Time 0.734 (0.760)	Data 0.001 (0.001)	Loss 2.7714 (2.7508)	Prec@1 30.469 (34.411)	Prec@5 65.625 (64.763)
Epoch: [26][13240/14090]	Time 0.740 (0.760)	Data 0.001 (0.001)	Loss 2.8001 (2.7508)	Prec@1 27.344 (34.412)	Prec@5 69.531 (64.764)
Epoch: [26][13250/14090]	Time 0.730 (0.760)	Data 0.001 (0.001)	Loss 2.5057 (2.7507)	Prec@1 32.812 (34.412)	Prec@5 67.188 (64.764)
Epoch: [26][13260/14090]	Time 0.758 (0.760)	Data 0.001 (0.001)	Loss 2.9464 (2.7508)	Prec@1 32.812 (34.411)	Prec@5 56.250 (64.762)
Epoch: [26][13270/14090]	Time 0.776 (0.760)	Data 0.001 (0.001)	Loss 2.9335 (2.7508)	Prec@1 25.781 (34.410)	Prec@5 61.719 (64.762)
Epoch: [26][13280/14090]	Time 0.777 (0.760)	Data 0.001 (0.001)	Loss 2.9913 (2.7508)	Prec@1 28.125 (34.412)	Prec@5 66.406 (64.763)
Epoch: [26][13290/14090]	Time 0.732 (0.760)	Data 0.001 (0.001)	Loss 3.0370 (2.7508)	Prec@1 32.812 (34.412)	Prec@5 58.594 (64.763)
Epoch: [26][13300/14090]	Time 0.740 (0.760)	Data 0.001 (0.001)	Loss 3.2633 (2.7508)	Prec@1 27.344 (34.412)	Prec@5 53.906 (64.762)
Epoch: [26][13310/14090]	Time 0.740 (0.760)	Data 0.001 (0.001)	Loss 2.7888 (2.7509)	Prec@1 36.719 (34.411)	Prec@5 62.500 (64.761)
Epoch: [26][13320/14090]	Time 0.764 (0.760)	Data 0.001 (0.001)	Loss 2.9624 (2.7509)	Prec@1 29.688 (34.411)	Prec@5 62.500 (64.760)
Epoch: [26][13330/14090]	Time 0.743 (0.760)	Data 0.001 (0.001)	Loss 2.5578 (2.7509)	Prec@1 29.688 (34.412)	Prec@5 67.188 (64.761)
Epoch: [26][13340/14090]	Time 0.830 (0.760)	Data 0.001 (0.001)	Loss 2.7625 (2.7509)	Prec@1 29.688 (34.410)	Prec@5 64.844 (64.760)
Epoch: [26][13350/14090]	Time 0.771 (0.760)	Data 0.001 (0.001)	Loss 2.9292 (2.7509)	Prec@1 28.125 (34.410)	Prec@5 64.844 (64.760)
Epoch: [26][13360/14090]	Time 0.758 (0.760)	Data 0.001 (0.001)	Loss 2.6394 (2.7509)	Prec@1 38.281 (34.411)	Prec@5 69.531 (64.761)
Epoch: [26][13370/14090]	Time 0.752 (0.760)	Data 0.002 (0.001)	Loss 2.7152 (2.7509)	Prec@1 30.469 (34.411)	Prec@5 62.500 (64.760)
Epoch: [26][13380/14090]	Time 0.758 (0.760)	Data 0.001 (0.001)	Loss 2.6285 (2.7509)	Prec@1 35.156 (34.410)	Prec@5 67.188 (64.760)
Epoch: [26][13390/14090]	Time 0.754 (0.760)	Data 0.001 (0.001)	Loss 2.9928 (2.7510)	Prec@1 31.250 (34.409)	Prec@5 60.156 (64.758)
Epoch: [26][13400/14090]	Time 0.782 (0.760)	Data 0.001 (0.001)	Loss 2.3411 (2.7510)	Prec@1 43.750 (34.410)	Prec@5 75.781 (64.758)
Epoch: [26][13410/14090]	Time 0.795 (0.760)	Data 0.001 (0.001)	Loss 2.8055 (2.7509)	Prec@1 34.375 (34.410)	Prec@5 64.062 (64.759)
Epoch: [26][13420/14090]	Time 0.752 (0.760)	Data 0.001 (0.001)	Loss 2.7895 (2.7510)	Prec@1 37.500 (34.410)	Prec@5 64.844 (64.759)
Epoch: [26][13430/14090]	Time 0.741 (0.760)	Data 0.001 (0.001)	Loss 2.6220 (2.7510)	Prec@1 33.594 (34.411)	Prec@5 65.625 (64.759)
Epoch: [26][13440/14090]	Time 0.756 (0.760)	Data 0.001 (0.001)	Loss 2.8304 (2.7510)	Prec@1 27.344 (34.410)	Prec@5 60.938 (64.759)
Epoch: [26][13450/14090]	Time 0.743 (0.760)	Data 0.001 (0.001)	Loss 2.8742 (2.7509)	Prec@1 28.906 (34.411)	Prec@5 64.844 (64.760)
Epoch: [26][13460/14090]	Time 0.748 (0.760)	Data 0.001 (0.001)	Loss 2.8485 (2.7509)	Prec@1 30.469 (34.410)	Prec@5 62.500 (64.759)
Epoch: [26][13470/14090]	Time 0.739 (0.760)	Data 0.001 (0.001)	Loss 2.5716 (2.7509)	Prec@1 35.156 (34.410)	Prec@5 67.188 (64.760)
Epoch: [26][13480/14090]	Time 0.834 (0.760)	Data 0.001 (0.001)	Loss 2.5257 (2.7509)	Prec@1 36.719 (34.409)	Prec@5 75.781 (64.762)
Epoch: [26][13490/14090]	Time 0.730 (0.760)	Data 0.001 (0.001)	Loss 2.3226 (2.7508)	Prec@1 41.406 (34.412)	Prec@5 74.219 (64.763)
Epoch: [26][13500/14090]	Time 0.745 (0.760)	Data 0.001 (0.001)	Loss 3.0312 (2.7508)	Prec@1 26.562 (34.412)	Prec@5 60.156 (64.764)
Epoch: [26][13510/14090]	Time 0.717 (0.760)	Data 0.001 (0.001)	Loss 3.0406 (2.7508)	Prec@1 31.250 (34.411)	Prec@5 61.719 (64.765)
Epoch: [26][13520/14090]	Time 0.733 (0.760)	Data 0.001 (0.001)	Loss 3.0167 (2.7508)	Prec@1 25.000 (34.410)	Prec@5 60.156 (64.764)
Epoch: [26][13530/14090]	Time 0.760 (0.760)	Data 0.001 (0.001)	Loss 2.7261 (2.7508)	Prec@1 33.594 (34.410)	Prec@5 64.844 (64.764)
Epoch: [26][13540/14090]	Time 0.765 (0.760)	Data 0.001 (0.001)	Loss 2.7178 (2.7509)	Prec@1 31.250 (34.409)	Prec@5 63.281 (64.763)
Epoch: [26][13550/14090]	Time 0.775 (0.760)	Data 0.001 (0.001)	Loss 2.8364 (2.7508)	Prec@1 32.812 (34.409)	Prec@5 65.625 (64.763)
Epoch: [26][13560/14090]	Time 0.722 (0.760)	Data 0.001 (0.001)	Loss 2.9572 (2.7508)	Prec@1 32.031 (34.410)	Prec@5 60.156 (64.764)
Epoch: [26][13570/14090]	Time 0.748 (0.760)	Data 0.001 (0.001)	Loss 2.9028 (2.7508)	Prec@1 33.594 (34.409)	Prec@5 60.938 (64.764)
Epoch: [26][13580/14090]	Time 0.764 (0.760)	Data 0.002 (0.001)	Loss 2.3974 (2.7508)	Prec@1 39.062 (34.409)	Prec@5 71.875 (64.763)
Epoch: [26][13590/14090]	Time 0.732 (0.760)	Data 0.001 (0.001)	Loss 3.0171 (2.7508)	Prec@1 28.125 (34.408)	Prec@5 63.281 (64.764)
Epoch: [26][13600/14090]	Time 0.768 (0.760)	Data 0.001 (0.001)	Loss 2.8430 (2.7509)	Prec@1 29.688 (34.407)	Prec@5 64.844 (64.764)
Epoch: [26][13610/14090]	Time 0.729 (0.760)	Data 0.001 (0.001)	Loss 2.7864 (2.7509)	Prec@1 35.156 (34.406)	Prec@5 61.719 (64.762)
Epoch: [26][13620/14090]	Time 0.871 (0.760)	Data 0.001 (0.001)	Loss 2.9346 (2.7509)	Prec@1 33.594 (34.406)	Prec@5 63.281 (64.762)
Epoch: [26][13630/14090]	Time 0.747 (0.760)	Data 0.001 (0.001)	Loss 2.9115 (2.7510)	Prec@1 32.031 (34.406)	Prec@5 67.188 (64.761)
Epoch: [26][13640/14090]	Time 0.750 (0.760)	Data 0.001 (0.001)	Loss 3.0125 (2.7510)	Prec@1 29.688 (34.405)	Prec@5 62.500 (64.760)
Epoch: [26][13650/14090]	Time 0.735 (0.760)	Data 0.001 (0.001)	Loss 2.4385 (2.7510)	Prec@1 45.312 (34.405)	Prec@5 73.438 (64.761)
Epoch: [26][13660/14090]	Time 0.763 (0.760)	Data 0.001 (0.001)	Loss 2.5030 (2.7510)	Prec@1 39.062 (34.407)	Prec@5 71.875 (64.762)
Epoch: [26][13670/14090]	Time 0.760 (0.760)	Data 0.001 (0.001)	Loss 2.5871 (2.7509)	Prec@1 34.375 (34.408)	Prec@5 71.094 (64.764)
Epoch: [26][13680/14090]	Time 0.764 (0.760)	Data 0.001 (0.001)	Loss 2.6224 (2.7509)	Prec@1 32.812 (34.408)	Prec@5 69.531 (64.764)
Epoch: [26][13690/14090]	Time 0.969 (0.760)	Data 0.001 (0.001)	Loss 2.6019 (2.7509)	Prec@1 34.375 (34.409)	Prec@5 71.094 (64.764)
Epoch: [26][13700/14090]	Time 0.768 (0.760)	Data 0.001 (0.001)	Loss 2.6042 (2.7509)	Prec@1 32.812 (34.410)	Prec@5 65.625 (64.764)
Epoch: [26][13710/14090]	Time 0.775 (0.760)	Data 0.001 (0.001)	Loss 2.5162 (2.7509)	Prec@1 42.969 (34.410)	Prec@5 64.062 (64.764)
Epoch: [26][13720/14090]	Time 0.776 (0.760)	Data 0.001 (0.001)	Loss 2.6304 (2.7509)	Prec@1 38.281 (34.410)	Prec@5 64.844 (64.764)
Epoch: [26][13730/14090]	Time 0.773 (0.760)	Data 0.001 (0.001)	Loss 2.6325 (2.7509)	Prec@1 36.719 (34.410)	Prec@5 68.750 (64.765)
Epoch: [26][13740/14090]	Time 0.744 (0.760)	Data 0.001 (0.001)	Loss 2.8731 (2.7509)	Prec@1 34.375 (34.410)	Prec@5 60.938 (64.765)
Epoch: [26][13750/14090]	Time 0.779 (0.760)	Data 0.001 (0.001)	Loss 2.8148 (2.7509)	Prec@1 29.688 (34.411)	Prec@5 60.938 (64.765)
Epoch: [26][13760/14090]	Time 0.859 (0.760)	Data 0.001 (0.001)	Loss 2.6599 (2.7509)	Prec@1 39.062 (34.410)	Prec@5 67.188 (64.765)
Epoch: [26][13770/14090]	Time 0.740 (0.760)	Data 0.001 (0.001)	Loss 2.6494 (2.7509)	Prec@1 36.719 (34.409)	Prec@5 71.094 (64.765)
Epoch: [26][13780/14090]	Time 0.733 (0.760)	Data 0.001 (0.001)	Loss 2.8144 (2.7509)	Prec@1 37.500 (34.409)	Prec@5 64.844 (64.765)
Epoch: [26][13790/14090]	Time 0.773 (0.760)	Data 0.001 (0.001)	Loss 2.7283 (2.7509)	Prec@1 35.938 (34.408)	Prec@5 62.500 (64.764)
Epoch: [26][13800/14090]	Time 0.755 (0.760)	Data 0.001 (0.001)	Loss 2.7847 (2.7509)	Prec@1 33.594 (34.409)	Prec@5 61.719 (64.764)
Epoch: [26][13810/14090]	Time 0.738 (0.760)	Data 0.001 (0.001)	Loss 2.6708 (2.7509)	Prec@1 39.844 (34.410)	Prec@5 71.094 (64.765)
Epoch: [26][13820/14090]	Time 0.770 (0.760)	Data 0.001 (0.001)	Loss 3.0669 (2.7509)	Prec@1 30.469 (34.410)	Prec@5 57.031 (64.765)
Epoch: [26][13830/14090]	Time 0.825 (0.760)	Data 0.001 (0.001)	Loss 2.8939 (2.7509)	Prec@1 33.594 (34.410)	Prec@5 64.844 (64.766)
Epoch: [26][13840/14090]	Time 0.741 (0.760)	Data 0.001 (0.001)	Loss 2.6065 (2.7509)	Prec@1 37.500 (34.410)	Prec@5 67.969 (64.766)
Epoch: [26][13850/14090]	Time 0.754 (0.760)	Data 0.001 (0.001)	Loss 2.7816 (2.7509)	Prec@1 29.688 (34.410)	Prec@5 63.281 (64.766)
Epoch: [26][13860/14090]	Time 0.759 (0.760)	Data 0.001 (0.001)	Loss 2.8658 (2.7510)	Prec@1 32.031 (34.409)	Prec@5 62.500 (64.765)
Epoch: [26][13870/14090]	Time 0.759 (0.760)	Data 0.001 (0.001)	Loss 2.6928 (2.7510)	Prec@1 30.469 (34.409)	Prec@5 62.500 (64.765)
Epoch: [26][13880/14090]	Time 0.723 (0.760)	Data 0.001 (0.001)	Loss 2.8072 (2.7510)	Prec@1 33.594 (34.409)	Prec@5 64.844 (64.767)
Epoch: [26][13890/14090]	Time 0.751 (0.760)	Data 0.001 (0.001)	Loss 2.8990 (2.7510)	Prec@1 30.469 (34.407)	Prec@5 60.156 (64.766)
Epoch: [26][13900/14090]	Time 0.816 (0.760)	Data 0.001 (0.001)	Loss 2.6948 (2.7510)	Prec@1 34.375 (34.407)	Prec@5 64.062 (64.766)
Epoch: [26][13910/14090]	Time 0.727 (0.760)	Data 0.001 (0.001)	Loss 3.0322 (2.7510)	Prec@1 30.469 (34.407)	Prec@5 60.938 (64.765)
Epoch: [26][13920/14090]	Time 0.736 (0.760)	Data 0.001 (0.001)	Loss 3.1263 (2.7511)	Prec@1 32.812 (34.407)	Prec@5 60.938 (64.763)
Epoch: [26][13930/14090]	Time 0.738 (0.760)	Data 0.001 (0.001)	Loss 2.9817 (2.7512)	Prec@1 35.156 (34.406)	Prec@5 59.375 (64.761)
Epoch: [26][13940/14090]	Time 0.726 (0.760)	Data 0.001 (0.001)	Loss 2.7546 (2.7512)	Prec@1 32.812 (34.405)	Prec@5 64.062 (64.761)
Epoch: [26][13950/14090]	Time 0.754 (0.760)	Data 0.001 (0.001)	Loss 2.7146 (2.7512)	Prec@1 28.906 (34.405)	Prec@5 69.531 (64.762)
Epoch: [26][13960/14090]	Time 0.745 (0.760)	Data 0.001 (0.001)	Loss 2.5700 (2.7512)	Prec@1 38.281 (34.405)	Prec@5 71.094 (64.763)
Epoch: [26][13970/14090]	Time 0.795 (0.760)	Data 0.001 (0.001)	Loss 2.9925 (2.7512)	Prec@1 32.812 (34.406)	Prec@5 57.031 (64.762)
Epoch: [26][13980/14090]	Time 0.757 (0.760)	Data 0.001 (0.001)	Loss 2.8983 (2.7512)	Prec@1 34.375 (34.405)	Prec@5 58.594 (64.763)
Epoch: [26][13990/14090]	Time 0.733 (0.760)	Data 0.001 (0.001)	Loss 2.8028 (2.7512)	Prec@1 38.281 (34.406)	Prec@5 60.938 (64.761)
Epoch: [26][14000/14090]	Time 0.782 (0.760)	Data 0.001 (0.001)	Loss 2.6358 (2.7512)	Prec@1 35.938 (34.407)	Prec@5 65.625 (64.762)
Epoch: [26][14010/14090]	Time 0.726 (0.760)	Data 0.001 (0.001)	Loss 2.7648 (2.7511)	Prec@1 33.594 (34.407)	Prec@5 67.969 (64.763)
Epoch: [26][14020/14090]	Time 0.776 (0.760)	Data 0.003 (0.001)	Loss 2.6687 (2.7512)	Prec@1 36.719 (34.406)	Prec@5 65.625 (64.761)
Epoch: [26][14030/14090]	Time 0.746 (0.760)	Data 0.001 (0.001)	Loss 2.9530 (2.7512)	Prec@1 27.344 (34.405)	Prec@5 57.031 (64.760)
Epoch: [26][14040/14090]	Time 0.792 (0.760)	Data 0.001 (0.001)	Loss 2.6480 (2.7512)	Prec@1 32.031 (34.406)	Prec@5 66.406 (64.760)
Epoch: [26][14050/14090]	Time 0.721 (0.760)	Data 0.001 (0.001)	Loss 2.5128 (2.7511)	Prec@1 35.156 (34.406)	Prec@5 70.312 (64.762)
Epoch: [26][14060/14090]	Time 0.771 (0.760)	Data 0.001 (0.001)	Loss 2.7368 (2.7512)	Prec@1 33.594 (34.405)	Prec@5 68.750 (64.761)
Epoch: [26][14070/14090]	Time 0.722 (0.760)	Data 0.001 (0.001)	Loss 2.7246 (2.7512)	Prec@1 36.719 (34.405)	Prec@5 64.062 (64.761)
Epoch: [26][14080/14090]	Time 0.729 (0.760)	Data 0.000 (0.001)	Loss 2.8147 (2.7512)	Prec@1 34.375 (34.406)	Prec@5 68.750 (64.761)
Test: [0/286]	Time 3.858 (3.858)	Loss 1.8148 (1.8148)	Prec@1 53.125 (53.125)	Prec@5 87.500 (87.500)
Test: [10/286]	Time 0.235 (0.638)	Loss 2.7903 (2.6782)	Prec@1 25.000 (35.298)	Prec@5 71.875 (70.312)
Test: [20/286]	Time 0.234 (0.490)	Loss 3.2886 (2.4535)	Prec@1 25.781 (40.551)	Prec@5 60.938 (72.879)
Test: [30/286]	Time 0.226 (0.432)	Loss 3.0691 (2.3825)	Prec@1 21.094 (41.885)	Prec@5 60.938 (73.110)
Test: [40/286]	Time 0.795 (0.420)	Loss 2.8268 (2.4411)	Prec@1 28.125 (39.844)	Prec@5 68.750 (72.046)
Test: [50/286]	Time 0.234 (0.404)	Loss 1.6172 (2.4043)	Prec@1 65.625 (41.039)	Prec@5 78.125 (72.488)
Test: [60/286]	Time 0.232 (0.391)	Loss 3.3309 (2.4217)	Prec@1 26.562 (41.112)	Prec@5 53.906 (71.644)
Test: [70/286]	Time 0.228 (0.379)	Loss 2.8663 (2.4201)	Prec@1 32.812 (40.867)	Prec@5 64.844 (71.743)
Test: [80/286]	Time 0.944 (0.379)	Loss 2.7864 (2.4313)	Prec@1 28.906 (40.548)	Prec@5 64.844 (71.296)
Test: [90/286]	Time 0.236 (0.372)	Loss 2.5987 (2.4510)	Prec@1 31.250 (39.775)	Prec@5 73.438 (71.094)
Test: [100/286]	Time 0.236 (0.366)	Loss 2.7284 (2.4925)	Prec@1 20.312 (38.668)	Prec@5 71.875 (70.413)
Test: [110/286]	Time 0.232 (0.361)	Loss 3.0087 (2.5201)	Prec@1 24.219 (38.056)	Prec@5 60.156 (69.947)
Test: [120/286]	Time 0.274 (0.361)	Loss 2.7205 (2.4986)	Prec@1 36.719 (38.701)	Prec@5 61.719 (70.229)
Test: [130/286]	Time 0.244 (0.359)	Loss 1.6836 (2.4783)	Prec@1 50.781 (39.182)	Prec@5 83.594 (70.515)
Test: [140/286]	Time 0.238 (0.356)	Loss 3.7139 (2.4797)	Prec@1 27.344 (39.112)	Prec@5 48.438 (70.584)
Test: [150/286]	Time 0.476 (0.356)	Loss 3.6772 (2.4970)	Prec@1 15.625 (38.576)	Prec@5 55.469 (70.499)
Test: [160/286]	Time 0.759 (0.357)	Loss 2.8266 (2.4839)	Prec@1 21.094 (38.757)	Prec@5 66.406 (70.769)
Test: [170/286]	Time 0.231 (0.355)	Loss 2.3380 (2.4717)	Prec@1 35.938 (38.875)	Prec@5 77.344 (71.080)
Test: [180/286]	Time 0.296 (0.354)	Loss 2.8213 (2.4913)	Prec@1 34.375 (38.480)	Prec@5 62.500 (70.701)
Test: [190/286]	Time 0.367 (0.353)	Loss 3.2687 (2.5086)	Prec@1 10.938 (38.032)	Prec@5 62.500 (70.476)
Test: [200/286]	Time 0.342 (0.353)	Loss 3.0724 (2.5019)	Prec@1 29.688 (38.153)	Prec@5 64.062 (70.550)
Test: [210/286]	Time 0.317 (0.351)	Loss 3.1971 (2.5166)	Prec@1 23.438 (37.811)	Prec@5 58.594 (70.298)
Test: [220/286]	Time 0.305 (0.350)	Loss 3.5183 (2.5282)	Prec@1 17.188 (37.656)	Prec@5 56.250 (70.044)
Test: [230/286]	Time 0.235 (0.349)	Loss 1.5329 (2.5231)	Prec@1 61.719 (37.787)	Prec@5 82.812 (70.076)
Test: [240/286]	Time 0.889 (0.351)	Loss 2.4056 (2.5230)	Prec@1 42.188 (37.908)	Prec@5 71.094 (70.076)
Test: [250/286]	Time 0.227 (0.350)	Loss 2.4567 (2.5128)	Prec@1 44.531 (37.973)	Prec@5 66.406 (70.369)
Test: [260/286]	Time 0.240 (0.349)	Loss 2.3833 (2.4991)	Prec@1 38.281 (38.200)	Prec@5 71.094 (70.630)
Test: [270/286]	Time 0.260 (0.348)	Loss 1.3801 (2.4911)	Prec@1 68.750 (38.405)	Prec@5 88.281 (70.831)
Test: [280/286]	Time 0.792 (0.349)	Loss 2.2907 (2.4741)	Prec@1 42.969 (38.887)	Prec@5 78.125 (71.091)
 * Prec@1 39.056 Prec@5 71.205
Epoch: [27][0/14090]	Time 5.085 (5.085)	Data 4.332 (4.332)	Loss 2.9591 (2.9591)	Prec@1 35.938 (35.938)	Prec@5 61.719 (61.719)
Epoch: [27][10/14090]	Time 0.723 (1.119)	Data 0.001 (0.394)	Loss 2.4823 (2.7571)	Prec@1 39.844 (35.369)	Prec@5 71.875 (64.347)
Epoch: [27][20/14090]	Time 0.728 (0.934)	Data 0.001 (0.207)	Loss 2.9502 (2.7552)	Prec@1 28.125 (34.524)	Prec@5 60.156 (65.104)
Epoch: [27][30/14090]	Time 0.742 (0.873)	Data 0.001 (0.141)	Loss 2.8337 (2.7675)	Prec@1 31.250 (34.199)	Prec@5 65.625 (64.970)
Epoch: [27][40/14090]	Time 0.727 (0.841)	Data 0.001 (0.106)	Loss 2.6209 (2.7851)	Prec@1 33.594 (33.899)	Prec@5 71.094 (64.234)
Epoch: [27][50/14090]	Time 0.764 (0.822)	Data 0.001 (0.086)	Loss 2.5593 (2.7707)	Prec@1 38.281 (34.145)	Prec@5 73.438 (64.476)
Epoch: [27][60/14090]	Time 0.721 (0.809)	Data 0.001 (0.072)	Loss 2.7872 (2.7607)	Prec@1 35.938 (34.068)	Prec@5 65.625 (64.639)
Epoch: [27][70/14090]	Time 0.774 (0.801)	Data 0.001 (0.062)	Loss 2.6029 (2.7663)	Prec@1 33.594 (33.836)	Prec@5 71.875 (64.525)
Epoch: [27][80/14090]	Time 0.743 (0.794)	Data 0.001 (0.054)	Loss 2.9630 (2.7695)	Prec@1 31.250 (33.854)	Prec@5 59.375 (64.487)
Epoch: [27][90/14090]	Time 0.754 (0.789)	Data 0.001 (0.048)	Loss 2.6314 (2.7638)	Prec@1 39.062 (34.023)	Prec@5 64.844 (64.543)
Epoch: [27][100/14090]	Time 0.759 (0.786)	Data 0.001 (0.044)	Loss 2.7094 (2.7602)	Prec@1 39.844 (34.228)	Prec@5 65.625 (64.573)
Epoch: [27][110/14090]	Time 0.755 (0.784)	Data 0.001 (0.040)	Loss 2.6739 (2.7627)	Prec@1 32.031 (34.072)	Prec@5 60.938 (64.569)
Epoch: [27][120/14090]	Time 0.779 (0.781)	Data 0.001 (0.037)	Loss 2.8142 (2.7572)	Prec@1 37.500 (34.285)	Prec@5 61.719 (64.579)
Epoch: [27][130/14090]	Time 0.723 (0.780)	Data 0.001 (0.034)	Loss 2.7834 (2.7551)	Prec@1 29.688 (34.286)	Prec@5 64.844 (64.760)
Epoch: [27][140/14090]	Time 0.756 (0.778)	Data 0.001 (0.032)	Loss 2.7451 (2.7520)	Prec@1 32.812 (34.297)	Prec@5 65.625 (64.866)
Epoch: [27][150/14090]	Time 0.792 (0.777)	Data 0.001 (0.030)	Loss 2.7892 (2.7559)	Prec@1 34.375 (34.308)	Prec@5 64.062 (64.751)
Epoch: [27][160/14090]	Time 0.734 (0.775)	Data 0.001 (0.028)	Loss 2.6141 (2.7511)	Prec@1 42.969 (34.390)	Prec@5 67.188 (64.902)
Epoch: [27][170/14090]	Time 0.752 (0.774)	Data 0.001 (0.026)	Loss 2.8587 (2.7520)	Prec@1 30.469 (34.329)	Prec@5 61.719 (64.876)
Epoch: [27][180/14090]	Time 0.737 (0.773)	Data 0.001 (0.025)	Loss 2.5566 (2.7437)	Prec@1 39.844 (34.461)	Prec@5 69.531 (65.042)
Epoch: [27][190/14090]	Time 0.737 (0.771)	Data 0.002 (0.024)	Loss 2.8953 (2.7453)	Prec@1 28.125 (34.408)	Prec@5 64.062 (64.966)
Epoch: [27][200/14090]	Time 0.751 (0.771)	Data 0.001 (0.022)	Loss 2.6075 (2.7506)	Prec@1 42.188 (34.359)	Prec@5 60.938 (64.813)
Epoch: [27][210/14090]	Time 0.741 (0.770)	Data 0.001 (0.021)	Loss 2.6378 (2.7487)	Prec@1 34.375 (34.397)	Prec@5 69.531 (64.907)
Epoch: [27][220/14090]	Time 0.739 (0.769)	Data 0.001 (0.020)	Loss 2.7211 (2.7466)	Prec@1 29.688 (34.389)	Prec@5 64.844 (64.936)
Epoch: [27][230/14090]	Time 0.777 (0.768)	Data 0.001 (0.020)	Loss 3.1127 (2.7507)	Prec@1 25.781 (34.290)	Prec@5 60.938 (64.922)
Epoch: [27][240/14090]	Time 0.738 (0.768)	Data 0.001 (0.019)	Loss 2.7945 (2.7505)	Prec@1 28.125 (34.255)	Prec@5 60.938 (64.938)
Epoch: [27][250/14090]	Time 0.755 (0.768)	Data 0.001 (0.018)	Loss 2.6630 (2.7460)	Prec@1 31.250 (34.285)	Prec@5 64.062 (64.996)
Epoch: [27][260/14090]	Time 0.753 (0.767)	Data 0.001 (0.017)	Loss 2.7229 (2.7449)	Prec@1 33.594 (34.288)	Prec@5 66.406 (65.056)
Epoch: [27][270/14090]	Time 0.753 (0.766)	Data 0.001 (0.017)	Loss 3.0320 (2.7460)	Prec@1 30.469 (34.323)	Prec@5 58.594 (65.028)
Epoch: [27][280/14090]	Time 0.766 (0.766)	Data 0.001 (0.016)	Loss 2.7675 (2.7453)	Prec@1 33.594 (34.322)	Prec@5 63.281 (65.047)
Epoch: [27][290/14090]	Time 0.741 (0.765)	Data 0.001 (0.016)	Loss 2.6137 (2.7446)	Prec@1 35.156 (34.351)	Prec@5 69.531 (65.053)
Epoch: [27][300/14090]	Time 0.759 (0.765)	Data 0.001 (0.015)	Loss 2.4482 (2.7416)	Prec@1 39.844 (34.375)	Prec@5 68.750 (65.083)
Epoch: [27][310/14090]	Time 0.736 (0.765)	Data 0.001 (0.015)	Loss 2.7632 (2.7419)	Prec@1 35.938 (34.362)	Prec@5 68.750 (65.135)
Epoch: [27][320/14090]	Time 0.745 (0.765)	Data 0.001 (0.014)	Loss 2.7011 (2.7433)	Prec@1 39.844 (34.343)	Prec@5 62.500 (65.082)
Epoch: [27][330/14090]	Time 0.751 (0.764)	Data 0.001 (0.014)	Loss 2.9341 (2.7433)	Prec@1 28.125 (34.321)	Prec@5 61.719 (65.047)
Epoch: [27][340/14090]	Time 0.762 (0.764)	Data 0.001 (0.014)	Loss 2.7884 (2.7413)	Prec@1 30.469 (34.313)	Prec@5 62.500 (65.068)
Epoch: [27][350/14090]	Time 0.774 (0.764)	Data 0.001 (0.013)	Loss 2.7764 (2.7421)	Prec@1 30.469 (34.273)	Prec@5 63.281 (65.080)
Epoch: [27][360/14090]	Time 0.759 (0.763)	Data 0.001 (0.013)	Loss 2.9560 (2.7406)	Prec@1 28.906 (34.286)	Prec@5 61.719 (65.101)
Epoch: [27][370/14090]	Time 0.743 (0.763)	Data 0.001 (0.013)	Loss 2.7495 (2.7413)	Prec@1 29.688 (34.261)	Prec@5 67.969 (65.101)
Epoch: [27][380/14090]	Time 0.780 (0.763)	Data 0.001 (0.012)	Loss 2.6260 (2.7400)	Prec@1 32.812 (34.254)	Prec@5 67.188 (65.110)
Epoch: [27][390/14090]	Time 0.773 (0.762)	Data 0.001 (0.012)	Loss 2.9717 (2.7403)	Prec@1 34.375 (34.293)	Prec@5 62.500 (65.080)
Epoch: [27][400/14090]	Time 0.770 (0.762)	Data 0.001 (0.012)	Loss 2.5925 (2.7401)	Prec@1 41.406 (34.272)	Prec@5 68.750 (65.101)
Epoch: [27][410/14090]	Time 0.765 (0.762)	Data 0.001 (0.011)	Loss 2.8928 (2.7404)	Prec@1 35.938 (34.303)	Prec@5 58.594 (65.108)
Epoch: [27][420/14090]	Time 0.736 (0.762)	Data 0.001 (0.011)	Loss 2.9346 (2.7384)	Prec@1 32.031 (34.368)	Prec@5 59.375 (65.131)
Epoch: [27][430/14090]	Time 0.749 (0.762)	Data 0.001 (0.011)	Loss 2.8149 (2.7380)	Prec@1 37.500 (34.366)	Prec@5 66.406 (65.152)
Epoch: [27][440/14090]	Time 0.734 (0.761)	Data 0.001 (0.011)	Loss 2.6701 (2.7379)	Prec@1 36.719 (34.418)	Prec@5 63.281 (65.101)
Epoch: [27][450/14090]	Time 0.740 (0.761)	Data 0.002 (0.010)	Loss 2.8143 (2.7373)	Prec@1 31.250 (34.420)	Prec@5 60.156 (65.088)
Epoch: [27][460/14090]	Time 0.747 (0.761)	Data 0.003 (0.010)	Loss 2.6367 (2.7348)	Prec@1 34.375 (34.438)	Prec@5 67.188 (65.118)
Epoch: [27][470/14090]	Time 0.741 (0.761)	Data 0.001 (0.010)	Loss 2.6877 (2.7317)	Prec@1 40.625 (34.529)	Prec@5 62.500 (65.169)
Epoch: [27][480/14090]	Time 0.737 (0.761)	Data 0.001 (0.010)	Loss 2.9108 (2.7319)	Prec@1 32.031 (34.546)	Prec@5 61.719 (65.141)
Epoch: [27][490/14090]	Time 0.742 (0.760)	Data 0.001 (0.010)	Loss 2.4170 (2.7310)	Prec@1 35.938 (34.552)	Prec@5 71.094 (65.154)
Epoch: [27][500/14090]	Time 0.744 (0.760)	Data 0.001 (0.009)	Loss 2.8780 (2.7329)	Prec@1 35.938 (34.536)	Prec@5 63.281 (65.106)
Epoch: [27][510/14090]	Time 0.779 (0.760)	Data 0.001 (0.009)	Loss 2.5539 (2.7325)	Prec@1 33.594 (34.542)	Prec@5 76.562 (65.146)
Epoch: [27][520/14090]	Time 0.739 (0.760)	Data 0.001 (0.009)	Loss 2.6776 (2.7335)	Prec@1 40.625 (34.529)	Prec@5 71.094 (65.136)
Epoch: [27][530/14090]	Time 0.748 (0.760)	Data 0.001 (0.009)	Loss 2.7609 (2.7353)	Prec@1 26.562 (34.509)	Prec@5 64.062 (65.125)
Epoch: [27][540/14090]	Time 0.733 (0.760)	Data 0.001 (0.009)	Loss 2.8194 (2.7348)	Prec@1 30.469 (34.511)	Prec@5 64.844 (65.104)
Epoch: [27][550/14090]	Time 0.759 (0.760)	Data 0.001 (0.009)	Loss 2.8832 (2.7361)	Prec@1 29.688 (34.474)	Prec@5 64.844 (65.075)
Epoch: [27][560/14090]	Time 0.734 (0.759)	Data 0.001 (0.009)	Loss 2.6806 (2.7355)	Prec@1 32.812 (34.485)	Prec@5 64.062 (65.082)
Epoch: [27][570/14090]	Time 0.749 (0.759)	Data 0.002 (0.008)	Loss 2.6913 (2.7354)	Prec@1 35.938 (34.493)	Prec@5 65.625 (65.074)
Epoch: [27][580/14090]	Time 0.740 (0.759)	Data 0.001 (0.008)	Loss 2.8978 (2.7350)	Prec@1 31.250 (34.491)	Prec@5 59.375 (65.079)
Epoch: [27][590/14090]	Time 0.728 (0.759)	Data 0.001 (0.008)	Loss 2.7093 (2.7341)	Prec@1 33.594 (34.507)	Prec@5 62.500 (65.092)
Epoch: [27][600/14090]	Time 0.770 (0.759)	Data 0.001 (0.008)	Loss 2.7445 (2.7339)	Prec@1 34.375 (34.537)	Prec@5 62.500 (65.109)
Epoch: [27][610/14090]	Time 0.741 (0.759)	Data 0.001 (0.008)	Loss 2.7047 (2.7334)	Prec@1 39.062 (34.549)	Prec@5 66.406 (65.105)
Epoch: [27][620/14090]	Time 0.754 (0.759)	Data 0.001 (0.008)	Loss 2.6796 (2.7331)	Prec@1 40.625 (34.576)	Prec@5 63.281 (65.104)
Epoch: [27][630/14090]	Time 0.777 (0.759)	Data 0.001 (0.008)	Loss 2.6794 (2.7340)	Prec@1 28.906 (34.546)	Prec@5 68.750 (65.088)
Epoch: [27][640/14090]	Time 0.743 (0.759)	Data 0.001 (0.008)	Loss 2.5654 (2.7337)	Prec@1 35.156 (34.572)	Prec@5 71.094 (65.079)
Epoch: [27][650/14090]	Time 0.761 (0.758)	Data 0.001 (0.008)	Loss 2.5303 (2.7331)	Prec@1 40.625 (34.592)	Prec@5 70.312 (65.098)
Epoch: [27][660/14090]	Time 0.774 (0.758)	Data 0.001 (0.007)	Loss 2.6464 (2.7321)	Prec@1 36.719 (34.620)	Prec@5 66.406 (65.126)
Epoch: [27][670/14090]	Time 0.739 (0.758)	Data 0.001 (0.007)	Loss 2.9194 (2.7311)	Prec@1 29.688 (34.639)	Prec@5 67.188 (65.150)
Epoch: [27][680/14090]	Time 0.760 (0.758)	Data 0.001 (0.007)	Loss 2.8958 (2.7303)	Prec@1 31.250 (34.629)	Prec@5 59.375 (65.168)
Epoch: [27][690/14090]	Time 0.760 (0.758)	Data 0.001 (0.007)	Loss 2.7488 (2.7306)	Prec@1 34.375 (34.628)	Prec@5 67.188 (65.158)
Epoch: [27][700/14090]	Time 0.733 (0.758)	Data 0.001 (0.007)	Loss 2.5819 (2.7300)	Prec@1 35.938 (34.648)	Prec@5 69.531 (65.178)
Epoch: [27][710/14090]	Time 0.758 (0.758)	Data 0.001 (0.007)	Loss 2.7519 (2.7293)	Prec@1 32.812 (34.658)	Prec@5 67.188 (65.195)
Epoch: [27][720/14090]	Time 0.726 (0.758)	Data 0.001 (0.007)	Loss 2.6350 (2.7295)	Prec@1 32.031 (34.666)	Prec@5 66.406 (65.184)
Epoch: [27][730/14090]	Time 0.739 (0.758)	Data 0.001 (0.007)	Loss 2.4660 (2.7292)	Prec@1 41.406 (34.702)	Prec@5 71.094 (65.189)
Epoch: [27][740/14090]	Time 0.727 (0.758)	Data 0.001 (0.007)	Loss 2.6920 (2.7297)	Prec@1 35.938 (34.693)	Prec@5 68.750 (65.189)
Epoch: [27][750/14090]	Time 0.743 (0.758)	Data 0.001 (0.007)	Loss 2.8141 (2.7305)	Prec@1 32.812 (34.693)	Prec@5 64.062 (65.182)
Epoch: [27][760/14090]	Time 0.741 (0.758)	Data 0.001 (0.007)	Loss 2.8275 (2.7310)	Prec@1 34.375 (34.691)	Prec@5 68.750 (65.189)
Epoch: [27][770/14090]	Time 0.759 (0.758)	Data 0.001 (0.006)	Loss 2.6660 (2.7314)	Prec@1 36.719 (34.707)	Prec@5 63.281 (65.158)
Epoch: [27][780/14090]	Time 0.771 (0.757)	Data 0.001 (0.006)	Loss 2.7663 (2.7318)	Prec@1 34.375 (34.693)	Prec@5 65.625 (65.154)
Epoch: [27][790/14090]	Time 0.758 (0.757)	Data 0.001 (0.006)	Loss 2.4696 (2.7317)	Prec@1 41.406 (34.706)	Prec@5 68.750 (65.128)
Epoch: [27][800/14090]	Time 0.744 (0.757)	Data 0.001 (0.006)	Loss 2.7367 (2.7322)	Prec@1 32.031 (34.683)	Prec@5 59.375 (65.116)
Epoch: [27][810/14090]	Time 0.780 (0.757)	Data 0.001 (0.006)	Loss 2.5831 (2.7319)	Prec@1 39.844 (34.706)	Prec@5 66.406 (65.115)
Epoch: [27][820/14090]	Time 0.733 (0.757)	Data 0.001 (0.006)	Loss 2.7912 (2.7321)	Prec@1 35.156 (34.696)	Prec@5 66.406 (65.112)
Epoch: [27][830/14090]	Time 0.757 (0.757)	Data 0.001 (0.006)	Loss 2.7339 (2.7321)	Prec@1 29.688 (34.689)	Prec@5 61.719 (65.105)
Epoch: [27][840/14090]	Time 0.723 (0.757)	Data 0.001 (0.006)	Loss 2.7043 (2.7314)	Prec@1 32.812 (34.682)	Prec@5 67.969 (65.119)
Epoch: [27][850/14090]	Time 0.777 (0.757)	Data 0.001 (0.006)	Loss 2.8224 (2.7305)	Prec@1 37.500 (34.696)	Prec@5 64.062 (65.135)
Epoch: [27][860/14090]	Time 0.766 (0.757)	Data 0.001 (0.006)	Loss 2.5041 (2.7311)	Prec@1 40.625 (34.698)	Prec@5 68.750 (65.107)
Epoch: [27][870/14090]	Time 0.737 (0.757)	Data 0.001 (0.006)	Loss 2.6643 (2.7306)	Prec@1 35.156 (34.693)	Prec@5 69.531 (65.140)
Epoch: [27][880/14090]	Time 0.759 (0.757)	Data 0.001 (0.006)	Loss 2.6377 (2.7302)	Prec@1 39.062 (34.716)	Prec@5 64.844 (65.156)
Epoch: [27][890/14090]	Time 0.741 (0.757)	Data 0.001 (0.006)	Loss 2.9259 (2.7297)	Prec@1 29.688 (34.726)	Prec@5 61.719 (65.170)
Epoch: [27][900/14090]	Time 0.734 (0.757)	Data 0.001 (0.006)	Loss 2.7390 (2.7297)	Prec@1 35.156 (34.739)	Prec@5 67.188 (65.184)
Epoch: [27][910/14090]	Time 0.766 (0.757)	Data 0.001 (0.006)	Loss 2.4779 (2.7302)	Prec@1 42.188 (34.744)	Prec@5 70.312 (65.181)
Epoch: [27][920/14090]	Time 0.748 (0.757)	Data 0.001 (0.006)	Loss 2.7654 (2.7309)	Prec@1 38.281 (34.718)	Prec@5 63.281 (65.151)
Epoch: [27][930/14090]	Time 0.740 (0.757)	Data 0.001 (0.006)	Loss 3.0442 (2.7314)	Prec@1 32.031 (34.711)	Prec@5 59.375 (65.135)
Epoch: [27][940/14090]	Time 0.757 (0.757)	Data 0.001 (0.005)	Loss 2.5880 (2.7314)	Prec@1 39.062 (34.715)	Prec@5 67.969 (65.149)
Epoch: [27][950/14090]	Time 0.760 (0.757)	Data 0.001 (0.005)	Loss 2.7503 (2.7313)	Prec@1 39.062 (34.727)	Prec@5 64.844 (65.153)
Epoch: [27][960/14090]	Time 0.747 (0.756)	Data 0.001 (0.005)	Loss 2.5533 (2.7306)	Prec@1 39.844 (34.747)	Prec@5 64.844 (65.159)
Epoch: [27][970/14090]	Time 0.736 (0.756)	Data 0.001 (0.005)	Loss 2.5983 (2.7306)	Prec@1 36.719 (34.752)	Prec@5 67.969 (65.149)
Epoch: [27][980/14090]	Time 0.772 (0.756)	Data 0.001 (0.005)	Loss 2.8648 (2.7316)	Prec@1 30.469 (34.734)	Prec@5 64.062 (65.138)
Epoch: [27][990/14090]	Time 0.881 (0.756)	Data 0.001 (0.005)	Loss 2.8372 (2.7317)	Prec@1 30.469 (34.723)	Prec@5 61.719 (65.133)
Epoch: [27][1000/14090]	Time 0.737 (0.756)	Data 0.001 (0.005)	Loss 2.8257 (2.7327)	Prec@1 34.375 (34.704)	Prec@5 59.375 (65.116)
Epoch: [27][1010/14090]	Time 0.770 (0.756)	Data 0.001 (0.005)	Loss 2.8399 (2.7327)	Prec@1 32.031 (34.722)	Prec@5 60.938 (65.113)
Epoch: [27][1020/14090]	Time 0.748 (0.756)	Data 0.001 (0.005)	Loss 2.7002 (2.7318)	Prec@1 37.500 (34.731)	Prec@5 63.281 (65.127)
Epoch: [27][1030/14090]	Time 0.780 (0.756)	Data 0.001 (0.005)	Loss 2.5854 (2.7328)	Prec@1 42.188 (34.705)	Prec@5 67.969 (65.101)
Epoch: [27][1040/14090]	Time 0.733 (0.756)	Data 0.001 (0.005)	Loss 2.8582 (2.7325)	Prec@1 38.281 (34.711)	Prec@5 64.844 (65.112)
Epoch: [27][1050/14090]	Time 0.776 (0.756)	Data 0.001 (0.005)	Loss 2.8439 (2.7326)	Prec@1 35.938 (34.714)	Prec@5 60.156 (65.105)
Epoch: [27][1060/14090]	Time 0.741 (0.756)	Data 0.001 (0.005)	Loss 2.5210 (2.7315)	Prec@1 39.062 (34.728)	Prec@5 67.969 (65.140)
Epoch: [27][1070/14090]	Time 0.746 (0.756)	Data 0.001 (0.005)	Loss 2.7921 (2.7316)	Prec@1 32.031 (34.716)	Prec@5 62.500 (65.133)
Epoch: [27][1080/14090]	Time 0.759 (0.756)	Data 0.001 (0.005)	Loss 2.7840 (2.7322)	Prec@1 29.688 (34.697)	Prec@5 67.188 (65.126)
Epoch: [27][1090/14090]	Time 0.738 (0.756)	Data 0.001 (0.005)	Loss 2.5867 (2.7316)	Prec@1 35.156 (34.692)	Prec@5 67.969 (65.127)
Epoch: [27][1100/14090]	Time 0.740 (0.756)	Data 0.001 (0.005)	Loss 2.7636 (2.7306)	Prec@1 39.062 (34.718)	Prec@5 60.156 (65.139)
Epoch: [27][1110/14090]	Time 0.755 (0.756)	Data 0.001 (0.005)	Loss 2.6101 (2.7303)	Prec@1 32.031 (34.708)	Prec@5 67.969 (65.149)
Epoch: [27][1120/14090]	Time 0.767 (0.756)	Data 0.001 (0.005)	Loss 2.6253 (2.7299)	Prec@1 30.469 (34.705)	Prec@5 64.062 (65.145)
Epoch: [27][1130/14090]	Time 0.749 (0.756)	Data 0.001 (0.005)	Loss 2.3530 (2.7294)	Prec@1 39.062 (34.711)	Prec@5 73.438 (65.146)
Epoch: [27][1140/14090]	Time 0.730 (0.756)	Data 0.001 (0.005)	Loss 2.8484 (2.7293)	Prec@1 30.469 (34.700)	Prec@5 60.938 (65.155)
Epoch: [27][1150/14090]	Time 0.766 (0.756)	Data 0.001 (0.005)	Loss 2.6424 (2.7285)	Prec@1 31.250 (34.712)	Prec@5 66.406 (65.178)
Epoch: [27][1160/14090]	Time 0.745 (0.756)	Data 0.001 (0.005)	Loss 2.6359 (2.7285)	Prec@1 39.062 (34.724)	Prec@5 65.625 (65.174)
Epoch: [27][1170/14090]	Time 0.772 (0.756)	Data 0.001 (0.005)	Loss 2.4940 (2.7286)	Prec@1 39.844 (34.732)	Prec@5 70.312 (65.169)
Epoch: [27][1180/14090]	Time 0.744 (0.756)	Data 0.001 (0.005)	Loss 2.8521 (2.7286)	Prec@1 29.688 (34.731)	Prec@5 64.062 (65.167)
Epoch: [27][1190/14090]	Time 0.755 (0.756)	Data 0.001 (0.004)	Loss 2.9965 (2.7294)	Prec@1 32.031 (34.721)	Prec@5 62.500 (65.145)
Epoch: [27][1200/14090]	Time 0.737 (0.756)	Data 0.001 (0.004)	Loss 2.9677 (2.7303)	Prec@1 31.250 (34.705)	Prec@5 57.812 (65.131)
Epoch: [27][1210/14090]	Time 0.764 (0.756)	Data 0.001 (0.004)	Loss 2.7874 (2.7304)	Prec@1 29.688 (34.692)	Prec@5 64.062 (65.122)
Epoch: [27][1220/14090]	Time 0.725 (0.756)	Data 0.001 (0.004)	Loss 2.4594 (2.7309)	Prec@1 35.156 (34.679)	Prec@5 69.531 (65.114)
Epoch: [27][1230/14090]	Time 0.740 (0.756)	Data 0.001 (0.004)	Loss 3.1095 (2.7316)	Prec@1 25.781 (34.659)	Prec@5 58.594 (65.110)
Epoch: [27][1240/14090]	Time 0.735 (0.756)	Data 0.001 (0.004)	Loss 2.8145 (2.7309)	Prec@1 28.906 (34.674)	Prec@5 64.062 (65.124)
Epoch: [27][1250/14090]	Time 0.743 (0.755)	Data 0.001 (0.004)	Loss 2.8750 (2.7309)	Prec@1 31.250 (34.665)	Prec@5 60.156 (65.124)
Epoch: [27][1260/14090]	Time 0.747 (0.755)	Data 0.001 (0.004)	Loss 2.9714 (2.7317)	Prec@1 35.156 (34.651)	Prec@5 62.500 (65.110)
Epoch: [27][1270/14090]	Time 0.728 (0.755)	Data 0.001 (0.004)	Loss 2.9727 (2.7325)	Prec@1 35.156 (34.638)	Prec@5 57.812 (65.090)
Epoch: [27][1280/14090]	Time 0.751 (0.755)	Data 0.001 (0.004)	Loss 3.0591 (2.7325)	Prec@1 30.469 (34.642)	Prec@5 57.031 (65.079)
Epoch: [27][1290/14090]	Time 0.755 (0.755)	Data 0.001 (0.004)	Loss 2.9576 (2.7322)	Prec@1 33.594 (34.648)	Prec@5 59.375 (65.080)
Epoch: [27][1300/14090]	Time 0.735 (0.755)	Data 0.001 (0.004)	Loss 2.8638 (2.7327)	Prec@1 36.719 (34.639)	Prec@5 64.062 (65.068)
Epoch: [27][1310/14090]	Time 0.742 (0.755)	Data 0.001 (0.004)	Loss 2.6610 (2.7329)	Prec@1 37.500 (34.649)	Prec@5 67.969 (65.068)
Epoch: [27][1320/14090]	Time 0.782 (0.755)	Data 0.001 (0.004)	Loss 2.7771 (2.7325)	Prec@1 33.594 (34.656)	Prec@5 60.938 (65.076)
Epoch: [27][1330/14090]	Time 0.740 (0.755)	Data 0.001 (0.004)	Loss 2.9129 (2.7331)	Prec@1 32.812 (34.640)	Prec@5 60.938 (65.069)
Epoch: [27][1340/14090]	Time 0.780 (0.755)	Data 0.001 (0.004)	Loss 2.4995 (2.7327)	Prec@1 44.531 (34.639)	Prec@5 67.969 (65.067)
Epoch: [27][1350/14090]	Time 0.734 (0.755)	Data 0.001 (0.004)	Loss 2.6318 (2.7325)	Prec@1 39.062 (34.643)	Prec@5 63.281 (65.074)
Epoch: [27][1360/14090]	Time 0.743 (0.755)	Data 0.001 (0.004)	Loss 2.6926 (2.7329)	Prec@1 38.281 (34.637)	Prec@5 69.531 (65.066)
Epoch: [27][1370/14090]	Time 0.736 (0.755)	Data 0.001 (0.004)	Loss 2.7189 (2.7324)	Prec@1 30.469 (34.647)	Prec@5 64.844 (65.080)
Epoch: [27][1380/14090]	Time 0.744 (0.755)	Data 0.001 (0.004)	Loss 3.0433 (2.7329)	Prec@1 30.469 (34.647)	Prec@5 54.688 (65.068)
Epoch: [27][1390/14090]	Time 0.749 (0.755)	Data 0.001 (0.004)	Loss 2.8542 (2.7326)	Prec@1 32.812 (34.654)	Prec@5 61.719 (65.061)
Epoch: [27][1400/14090]	Time 0.743 (0.755)	Data 0.001 (0.004)	Loss 2.8230 (2.7326)	Prec@1 31.250 (34.644)	Prec@5 63.281 (65.062)
Epoch: [27][1410/14090]	Time 0.776 (0.755)	Data 0.001 (0.004)	Loss 2.7208 (2.7321)	Prec@1 39.062 (34.651)	Prec@5 63.281 (65.065)
Epoch: [27][1420/14090]	Time 0.756 (0.755)	Data 0.001 (0.004)	Loss 2.9170 (2.7320)	Prec@1 37.500 (34.647)	Prec@5 63.281 (65.066)
Epoch: [27][1430/14090]	Time 0.751 (0.755)	Data 0.001 (0.004)	Loss 2.5895 (2.7317)	Prec@1 44.531 (34.671)	Prec@5 67.969 (65.071)
Epoch: [27][1440/14090]	Time 0.740 (0.755)	Data 0.001 (0.004)	Loss 2.5725 (2.7319)	Prec@1 33.594 (34.672)	Prec@5 70.312 (65.065)
Epoch: [27][1450/14090]	Time 0.778 (0.755)	Data 0.001 (0.004)	Loss 2.9812 (2.7323)	Prec@1 24.219 (34.664)	Prec@5 60.156 (65.062)
Epoch: [27][1460/14090]	Time 0.727 (0.755)	Data 0.001 (0.004)	Loss 2.8227 (2.7326)	Prec@1 35.938 (34.660)	Prec@5 62.500 (65.053)
Epoch: [27][1470/14090]	Time 0.732 (0.755)	Data 0.001 (0.004)	Loss 2.8333 (2.7319)	Prec@1 36.719 (34.683)	Prec@5 65.625 (65.063)
Epoch: [27][1480/14090]	Time 0.754 (0.755)	Data 0.001 (0.004)	Loss 2.7064 (2.7321)	Prec@1 37.500 (34.681)	Prec@5 62.500 (65.058)
Epoch: [27][1490/14090]	Time 0.743 (0.755)	Data 0.001 (0.004)	Loss 2.5490 (2.7318)	Prec@1 34.375 (34.679)	Prec@5 70.312 (65.069)
Epoch: [27][1500/14090]	Time 0.753 (0.755)	Data 0.001 (0.004)	Loss 2.7312 (2.7316)	Prec@1 33.594 (34.688)	Prec@5 64.844 (65.070)
Epoch: [27][1510/14090]	Time 0.733 (0.755)	Data 0.001 (0.004)	Loss 2.7525 (2.7318)	Prec@1 34.375 (34.685)	Prec@5 67.188 (65.066)
Epoch: [27][1520/14090]	Time 0.772 (0.755)	Data 0.001 (0.004)	Loss 2.7796 (2.7324)	Prec@1 42.188 (34.671)	Prec@5 67.188 (65.065)
Epoch: [27][1530/14090]	Time 0.735 (0.755)	Data 0.001 (0.004)	Loss 2.6918 (2.7326)	Prec@1 34.375 (34.670)	Prec@5 68.750 (65.057)
Epoch: [27][1540/14090]	Time 0.774 (0.755)	Data 0.001 (0.004)	Loss 2.9134 (2.7329)	Prec@1 34.375 (34.668)	Prec@5 55.469 (65.047)
Epoch: [27][1550/14090]	Time 0.754 (0.755)	Data 0.001 (0.004)	Loss 2.7432 (2.7333)	Prec@1 37.500 (34.667)	Prec@5 68.750 (65.042)
Epoch: [27][1560/14090]	Time 0.741 (0.755)	Data 0.001 (0.004)	Loss 2.6948 (2.7332)	Prec@1 35.938 (34.674)	Prec@5 62.500 (65.046)
Epoch: [27][1570/14090]	Time 0.760 (0.755)	Data 0.001 (0.004)	Loss 2.4663 (2.7325)	Prec@1 46.094 (34.700)	Prec@5 63.281 (65.058)
Epoch: [27][1580/14090]	Time 0.751 (0.755)	Data 0.001 (0.004)	Loss 2.6078 (2.7322)	Prec@1 33.594 (34.705)	Prec@5 67.188 (65.058)
Epoch: [27][1590/14090]	Time 0.744 (0.755)	Data 0.001 (0.004)	Loss 2.6515 (2.7327)	Prec@1 37.500 (34.703)	Prec@5 70.312 (65.047)
Epoch: [27][1600/14090]	Time 0.757 (0.755)	Data 0.001 (0.004)	Loss 2.7867 (2.7330)	Prec@1 35.938 (34.700)	Prec@5 68.750 (65.044)
Epoch: [27][1610/14090]	Time 0.745 (0.755)	Data 0.001 (0.004)	Loss 2.6685 (2.7330)	Prec@1 36.719 (34.697)	Prec@5 72.656 (65.043)
Epoch: [27][1620/14090]	Time 0.736 (0.755)	Data 0.001 (0.004)	Loss 2.6768 (2.7332)	Prec@1 39.062 (34.693)	Prec@5 65.625 (65.042)
Epoch: [27][1630/14090]	Time 0.768 (0.755)	Data 0.001 (0.004)	Loss 2.7018 (2.7333)	Prec@1 35.938 (34.695)	Prec@5 67.969 (65.053)
Epoch: [27][1640/14090]	Time 0.731 (0.755)	Data 0.001 (0.003)	Loss 2.8189 (2.7331)	Prec@1 34.375 (34.707)	Prec@5 63.281 (65.065)
Epoch: [27][1650/14090]	Time 0.767 (0.755)	Data 0.001 (0.003)	Loss 2.6886 (2.7329)	Prec@1 32.031 (34.708)	Prec@5 71.094 (65.070)
Epoch: [27][1660/14090]	Time 0.729 (0.755)	Data 0.001 (0.003)	Loss 2.5630 (2.7335)	Prec@1 30.469 (34.704)	Prec@5 69.531 (65.056)
Epoch: [27][1670/14090]	Time 0.723 (0.755)	Data 0.001 (0.003)	Loss 2.6369 (2.7335)	Prec@1 39.844 (34.713)	Prec@5 64.062 (65.058)
Epoch: [27][1680/14090]	Time 0.755 (0.755)	Data 0.001 (0.003)	Loss 2.9507 (2.7338)	Prec@1 32.031 (34.710)	Prec@5 57.031 (65.048)
Epoch: [27][1690/14090]	Time 0.874 (0.755)	Data 0.001 (0.003)	Loss 2.5255 (2.7341)	Prec@1 38.281 (34.700)	Prec@5 67.188 (65.048)
Epoch: [27][1700/14090]	Time 0.739 (0.755)	Data 0.001 (0.003)	Loss 2.3875 (2.7335)	Prec@1 40.625 (34.717)	Prec@5 76.562 (65.070)
Epoch: [27][1710/14090]	Time 0.738 (0.755)	Data 0.001 (0.003)	Loss 2.8843 (2.7330)	Prec@1 28.906 (34.732)	Prec@5 64.062 (65.083)
Epoch: [27][1720/14090]	Time 0.734 (0.755)	Data 0.001 (0.003)	Loss 2.6581 (2.7341)	Prec@1 35.156 (34.716)	Prec@5 67.188 (65.060)
Epoch: [27][1730/14090]	Time 0.728 (0.755)	Data 0.001 (0.003)	Loss 2.8486 (2.7342)	Prec@1 32.031 (34.722)	Prec@5 60.156 (65.056)
Epoch: [27][1740/14090]	Time 0.758 (0.755)	Data 0.001 (0.003)	Loss 2.7643 (2.7342)	Prec@1 32.031 (34.708)	Prec@5 64.062 (65.052)
Epoch: [27][1750/14090]	Time 0.738 (0.755)	Data 0.001 (0.003)	Loss 2.7887 (2.7342)	Prec@1 28.125 (34.711)	Prec@5 64.844 (65.054)
Epoch: [27][1760/14090]	Time 0.772 (0.755)	Data 0.001 (0.003)	Loss 2.5539 (2.7339)	Prec@1 35.938 (34.712)	Prec@5 71.094 (65.064)
Epoch: [27][1770/14090]	Time 0.764 (0.755)	Data 0.001 (0.003)	Loss 3.1539 (2.7339)	Prec@1 28.125 (34.722)	Prec@5 59.375 (65.065)
Epoch: [27][1780/14090]	Time 0.757 (0.754)	Data 0.001 (0.003)	Loss 2.4802 (2.7342)	Prec@1 37.500 (34.716)	Prec@5 69.531 (65.057)
Epoch: [27][1790/14090]	Time 0.768 (0.754)	Data 0.001 (0.003)	Loss 2.6494 (2.7343)	Prec@1 32.812 (34.717)	Prec@5 66.406 (65.054)
Epoch: [27][1800/14090]	Time 0.727 (0.754)	Data 0.001 (0.003)	Loss 2.4955 (2.7343)	Prec@1 37.500 (34.720)	Prec@5 68.750 (65.058)
Epoch: [27][1810/14090]	Time 0.737 (0.754)	Data 0.001 (0.003)	Loss 2.9965 (2.7343)	Prec@1 25.781 (34.715)	Prec@5 57.812 (65.057)
Epoch: [27][1820/14090]	Time 0.766 (0.754)	Data 0.001 (0.003)	Loss 2.5628 (2.7344)	Prec@1 34.375 (34.704)	Prec@5 67.188 (65.057)
Epoch: [27][1830/14090]	Time 0.781 (0.754)	Data 0.001 (0.003)	Loss 2.9706 (2.7344)	Prec@1 28.125 (34.702)	Prec@5 57.812 (65.058)
Epoch: [27][1840/14090]	Time 0.742 (0.754)	Data 0.001 (0.003)	Loss 2.9125 (2.7343)	Prec@1 31.250 (34.717)	Prec@5 64.062 (65.064)
Epoch: [27][1850/14090]	Time 0.748 (0.754)	Data 0.001 (0.003)	Loss 2.6872 (2.7349)	Prec@1 38.281 (34.704)	Prec@5 60.156 (65.047)
Epoch: [27][1860/14090]	Time 0.764 (0.754)	Data 0.001 (0.003)	Loss 2.3356 (2.7352)	Prec@1 40.625 (34.705)	Prec@5 73.438 (65.036)
Epoch: [27][1870/14090]	Time 0.734 (0.754)	Data 0.001 (0.003)	Loss 2.5417 (2.7353)	Prec@1 39.844 (34.706)	Prec@5 68.750 (65.037)
Epoch: [27][1880/14090]	Time 0.753 (0.754)	Data 0.001 (0.003)	Loss 2.8581 (2.7354)	Prec@1 28.906 (34.698)	Prec@5 64.062 (65.028)
Epoch: [27][1890/14090]	Time 0.775 (0.754)	Data 0.001 (0.003)	Loss 2.8093 (2.7355)	Prec@1 34.375 (34.691)	Prec@5 64.844 (65.030)
Epoch: [27][1900/14090]	Time 0.740 (0.754)	Data 0.001 (0.003)	Loss 2.4888 (2.7350)	Prec@1 38.281 (34.705)	Prec@5 67.969 (65.042)
Epoch: [27][1910/14090]	Time 0.732 (0.754)	Data 0.001 (0.003)	Loss 2.8021 (2.7350)	Prec@1 32.031 (34.708)	Prec@5 61.719 (65.031)
Epoch: [27][1920/14090]	Time 0.739 (0.754)	Data 0.001 (0.003)	Loss 3.0783 (2.7347)	Prec@1 26.562 (34.713)	Prec@5 53.125 (65.037)
Epoch: [27][1930/14090]	Time 0.740 (0.754)	Data 0.001 (0.003)	Loss 2.5366 (2.7345)	Prec@1 35.938 (34.714)	Prec@5 65.625 (65.046)
Epoch: [27][1940/14090]	Time 0.743 (0.754)	Data 0.001 (0.003)	Loss 2.6540 (2.7345)	Prec@1 32.812 (34.714)	Prec@5 65.625 (65.047)
Epoch: [27][1950/14090]	Time 0.755 (0.754)	Data 0.001 (0.003)	Loss 2.7830 (2.7346)	Prec@1 28.906 (34.714)	Prec@5 62.500 (65.042)
Epoch: [27][1960/14090]	Time 0.754 (0.754)	Data 0.001 (0.003)	Loss 2.5399 (2.7340)	Prec@1 39.062 (34.725)	Prec@5 67.969 (65.052)
Epoch: [27][1970/14090]	Time 0.772 (0.754)	Data 0.001 (0.003)	Loss 2.6400 (2.7334)	Prec@1 35.938 (34.731)	Prec@5 69.531 (65.066)
Epoch: [27][1980/14090]	Time 0.780 (0.754)	Data 0.001 (0.003)	Loss 2.6875 (2.7334)	Prec@1 39.062 (34.721)	Prec@5 61.719 (65.064)
Epoch: [27][1990/14090]	Time 0.756 (0.754)	Data 0.001 (0.003)	Loss 2.8044 (2.7335)	Prec@1 33.594 (34.718)	Prec@5 58.594 (65.066)
Epoch: [27][2000/14090]	Time 0.740 (0.754)	Data 0.001 (0.003)	Loss 2.8599 (2.7340)	Prec@1 31.250 (34.708)	Prec@5 60.938 (65.056)
Epoch: [27][2010/14090]	Time 0.739 (0.754)	Data 0.001 (0.003)	Loss 2.6164 (2.7341)	Prec@1 39.062 (34.719)	Prec@5 67.188 (65.059)
Epoch: [27][2020/14090]	Time 0.770 (0.754)	Data 0.001 (0.003)	Loss 2.8349 (2.7342)	Prec@1 37.500 (34.726)	Prec@5 64.844 (65.058)
Epoch: [27][2030/14090]	Time 0.750 (0.754)	Data 0.001 (0.003)	Loss 2.9069 (2.7349)	Prec@1 35.156 (34.718)	Prec@5 64.062 (65.052)
Epoch: [27][2040/14090]	Time 0.767 (0.754)	Data 0.001 (0.003)	Loss 2.8751 (2.7353)	Prec@1 39.844 (34.711)	Prec@5 59.375 (65.046)
Epoch: [27][2050/14090]	Time 0.737 (0.754)	Data 0.001 (0.003)	Loss 2.7045 (2.7352)	Prec@1 30.469 (34.714)	Prec@5 69.531 (65.056)
Epoch: [27][2060/14090]	Time 0.748 (0.754)	Data 0.001 (0.003)	Loss 2.8628 (2.7355)	Prec@1 28.906 (34.708)	Prec@5 63.281 (65.056)
Epoch: [27][2070/14090]	Time 0.743 (0.754)	Data 0.001 (0.003)	Loss 2.4817 (2.7364)	Prec@1 39.844 (34.694)	Prec@5 69.531 (65.036)
Epoch: [27][2080/14090]	Time 0.734 (0.754)	Data 0.001 (0.003)	Loss 2.7749 (2.7363)	Prec@1 31.250 (34.699)	Prec@5 66.406 (65.040)
Epoch: [27][2090/14090]	Time 0.743 (0.754)	Data 0.001 (0.003)	Loss 3.0237 (2.7369)	Prec@1 33.594 (34.688)	Prec@5 57.812 (65.026)
Epoch: [27][2100/14090]	Time 0.786 (0.754)	Data 0.001 (0.003)	Loss 2.7620 (2.7369)	Prec@1 35.156 (34.692)	Prec@5 64.844 (65.028)
Epoch: [27][2110/14090]	Time 0.744 (0.754)	Data 0.001 (0.003)	Loss 2.5511 (2.7371)	Prec@1 39.844 (34.688)	Prec@5 68.750 (65.025)
Epoch: [27][2120/14090]	Time 0.753 (0.754)	Data 0.001 (0.003)	Loss 2.8909 (2.7370)	Prec@1 26.562 (34.691)	Prec@5 65.625 (65.027)
Epoch: [27][2130/14090]	Time 0.729 (0.754)	Data 0.001 (0.003)	Loss 2.6245 (2.7369)	Prec@1 37.500 (34.692)	Prec@5 71.875 (65.027)
Epoch: [27][2140/14090]	Time 0.779 (0.754)	Data 0.001 (0.003)	Loss 2.6340 (2.7368)	Prec@1 38.281 (34.704)	Prec@5 65.625 (65.026)
Epoch: [27][2150/14090]	Time 0.725 (0.754)	Data 0.001 (0.003)	Loss 2.9558 (2.7367)	Prec@1 27.344 (34.704)	Prec@5 57.812 (65.030)
Epoch: [27][2160/14090]	Time 0.741 (0.754)	Data 0.001 (0.003)	Loss 2.5832 (2.7368)	Prec@1 39.062 (34.702)	Prec@5 67.969 (65.030)
Epoch: [27][2170/14090]	Time 0.733 (0.754)	Data 0.001 (0.003)	Loss 2.5338 (2.7370)	Prec@1 33.594 (34.696)	Prec@5 72.656 (65.031)
Epoch: [27][2180/14090]	Time 0.727 (0.754)	Data 0.001 (0.003)	Loss 2.7239 (2.7373)	Prec@1 35.938 (34.691)	Prec@5 65.625 (65.019)
Epoch: [27][2190/14090]	Time 0.775 (0.754)	Data 0.001 (0.003)	Loss 2.5911 (2.7371)	Prec@1 32.812 (34.696)	Prec@5 69.531 (65.024)
Epoch: [27][2200/14090]	Time 0.756 (0.754)	Data 0.001 (0.003)	Loss 2.5101 (2.7374)	Prec@1 40.625 (34.691)	Prec@5 67.188 (65.023)
Epoch: [27][2210/14090]	Time 0.741 (0.754)	Data 0.001 (0.003)	Loss 2.7432 (2.7371)	Prec@1 34.375 (34.684)	Prec@5 67.188 (65.024)
Epoch: [27][2220/14090]	Time 0.751 (0.754)	Data 0.001 (0.003)	Loss 2.8114 (2.7368)	Prec@1 33.594 (34.697)	Prec@5 62.500 (65.033)
Epoch: [27][2230/14090]	Time 0.734 (0.754)	Data 0.001 (0.003)	Loss 2.8098 (2.7367)	Prec@1 32.031 (34.700)	Prec@5 61.719 (65.035)
Epoch: [27][2240/14090]	Time 0.744 (0.754)	Data 0.001 (0.003)	Loss 2.5924 (2.7369)	Prec@1 36.719 (34.692)	Prec@5 74.219 (65.037)
Epoch: [27][2250/14090]	Time 0.756 (0.754)	Data 0.001 (0.003)	Loss 2.8267 (2.7369)	Prec@1 32.031 (34.692)	Prec@5 64.844 (65.039)
Epoch: [27][2260/14090]	Time 0.727 (0.754)	Data 0.001 (0.003)	Loss 2.5542 (2.7369)	Prec@1 42.969 (34.697)	Prec@5 66.406 (65.039)
Epoch: [27][2270/14090]	Time 0.736 (0.754)	Data 0.001 (0.003)	Loss 2.6289 (2.7370)	Prec@1 35.938 (34.687)	Prec@5 67.188 (65.036)
Epoch: [27][2280/14090]	Time 0.734 (0.754)	Data 0.001 (0.003)	Loss 2.8483 (2.7372)	Prec@1 32.812 (34.685)	Prec@5 62.500 (65.038)
Epoch: [27][2290/14090]	Time 0.734 (0.754)	Data 0.001 (0.003)	Loss 2.7507 (2.7373)	Prec@1 33.594 (34.688)	Prec@5 60.156 (65.027)
Epoch: [27][2300/14090]	Time 0.744 (0.754)	Data 0.001 (0.003)	Loss 2.7819 (2.7372)	Prec@1 39.062 (34.692)	Prec@5 69.531 (65.034)
Epoch: [27][2310/14090]	Time 0.756 (0.754)	Data 0.001 (0.003)	Loss 2.6726 (2.7372)	Prec@1 34.375 (34.692)	Prec@5 63.281 (65.031)
Epoch: [27][2320/14090]	Time 0.747 (0.754)	Data 0.001 (0.003)	Loss 2.8846 (2.7373)	Prec@1 35.156 (34.695)	Prec@5 60.156 (65.027)
Epoch: [27][2330/14090]	Time 0.741 (0.754)	Data 0.001 (0.003)	Loss 2.7028 (2.7371)	Prec@1 34.375 (34.702)	Prec@5 67.188 (65.030)
Epoch: [27][2340/14090]	Time 0.760 (0.754)	Data 0.001 (0.003)	Loss 2.6947 (2.7371)	Prec@1 28.906 (34.697)	Prec@5 67.969 (65.029)
Epoch: [27][2350/14090]	Time 0.744 (0.754)	Data 0.001 (0.003)	Loss 2.6877 (2.7370)	Prec@1 35.156 (34.702)	Prec@5 61.719 (65.027)
Epoch: [27][2360/14090]	Time 0.736 (0.754)	Data 0.001 (0.003)	Loss 3.0056 (2.7370)	Prec@1 29.688 (34.705)	Prec@5 55.469 (65.021)
Epoch: [27][2370/14090]	Time 0.773 (0.754)	Data 0.001 (0.003)	Loss 2.8218 (2.7374)	Prec@1 30.469 (34.705)	Prec@5 62.500 (65.018)
Epoch: [27][2380/14090]	Time 0.752 (0.754)	Data 0.001 (0.003)	Loss 2.7999 (2.7372)	Prec@1 38.281 (34.707)	Prec@5 61.719 (65.020)
Epoch: [27][2390/14090]	Time 0.887 (0.754)	Data 0.001 (0.003)	Loss 2.7966 (2.7370)	Prec@1 36.719 (34.716)	Prec@5 66.406 (65.027)
Epoch: [27][2400/14090]	Time 0.754 (0.754)	Data 0.001 (0.003)	Loss 2.8321 (2.7372)	Prec@1 31.250 (34.711)	Prec@5 64.844 (65.022)
Epoch: [27][2410/14090]	Time 0.747 (0.754)	Data 0.001 (0.003)	Loss 2.5360 (2.7373)	Prec@1 39.844 (34.706)	Prec@5 69.531 (65.022)
Epoch: [27][2420/14090]	Time 0.788 (0.754)	Data 0.001 (0.003)	Loss 2.6838 (2.7376)	Prec@1 33.594 (34.699)	Prec@5 68.750 (65.013)
Epoch: [27][2430/14090]	Time 0.742 (0.754)	Data 0.001 (0.003)	Loss 2.7623 (2.7381)	Prec@1 31.250 (34.691)	Prec@5 66.406 (65.004)
Epoch: [27][2440/14090]	Time 0.742 (0.754)	Data 0.001 (0.003)	Loss 2.7347 (2.7386)	Prec@1 41.406 (34.682)	Prec@5 70.312 (64.997)
Epoch: [27][2450/14090]	Time 0.746 (0.754)	Data 0.001 (0.003)	Loss 2.8330 (2.7391)	Prec@1 29.688 (34.677)	Prec@5 65.625 (64.983)
Epoch: [27][2460/14090]	Time 0.776 (0.754)	Data 0.001 (0.003)	Loss 2.7923 (2.7391)	Prec@1 30.469 (34.675)	Prec@5 67.969 (64.987)
Epoch: [27][2470/14090]	Time 0.747 (0.754)	Data 0.001 (0.003)	Loss 2.7279 (2.7389)	Prec@1 35.938 (34.679)	Prec@5 60.156 (64.985)
Epoch: [27][2480/14090]	Time 0.747 (0.754)	Data 0.001 (0.003)	Loss 2.7176 (2.7389)	Prec@1 34.375 (34.674)	Prec@5 66.406 (64.982)
Epoch: [27][2490/14090]	Time 0.732 (0.754)	Data 0.001 (0.003)	Loss 2.7145 (2.7388)	Prec@1 41.406 (34.680)	Prec@5 63.281 (64.981)
Epoch: [27][2500/14090]	Time 0.753 (0.754)	Data 0.001 (0.003)	Loss 2.7507 (2.7391)	Prec@1 34.375 (34.672)	Prec@5 64.062 (64.977)
Epoch: [27][2510/14090]	Time 0.734 (0.754)	Data 0.001 (0.003)	Loss 2.8996 (2.7392)	Prec@1 31.250 (34.677)	Prec@5 62.500 (64.976)
Epoch: [27][2520/14090]	Time 0.754 (0.754)	Data 0.001 (0.003)	Loss 2.5613 (2.7390)	Prec@1 37.500 (34.682)	Prec@5 69.531 (64.982)
Epoch: [27][2530/14090]	Time 0.750 (0.754)	Data 0.001 (0.003)	Loss 2.5599 (2.7389)	Prec@1 42.969 (34.683)	Prec@5 65.625 (64.983)
Epoch: [27][2540/14090]	Time 0.737 (0.754)	Data 0.001 (0.003)	Loss 2.8355 (2.7388)	Prec@1 35.156 (34.688)	Prec@5 62.500 (64.984)
Epoch: [27][2550/14090]	Time 0.756 (0.754)	Data 0.001 (0.003)	Loss 3.1978 (2.7392)	Prec@1 28.125 (34.676)	Prec@5 54.688 (64.981)
Epoch: [27][2560/14090]	Time 0.740 (0.754)	Data 0.001 (0.003)	Loss 2.8378 (2.7394)	Prec@1 32.812 (34.675)	Prec@5 62.500 (64.977)
Epoch: [27][2570/14090]	Time 0.732 (0.754)	Data 0.001 (0.003)	Loss 2.5304 (2.7393)	Prec@1 38.281 (34.677)	Prec@5 66.406 (64.977)
Epoch: [27][2580/14090]	Time 0.746 (0.754)	Data 0.001 (0.003)	Loss 2.5555 (2.7390)	Prec@1 38.281 (34.683)	Prec@5 66.406 (64.981)
Epoch: [27][2590/14090]	Time 0.761 (0.754)	Data 0.001 (0.003)	Loss 2.6458 (2.7390)	Prec@1 35.938 (34.681)	Prec@5 70.312 (64.982)
Epoch: [27][2600/14090]	Time 0.745 (0.754)	Data 0.001 (0.003)	Loss 2.6653 (2.7391)	Prec@1 37.500 (34.685)	Prec@5 67.969 (64.977)
Epoch: [27][2610/14090]	Time 0.752 (0.754)	Data 0.001 (0.003)	Loss 2.4007 (2.7387)	Prec@1 44.531 (34.696)	Prec@5 73.438 (64.983)
Epoch: [27][2620/14090]	Time 0.728 (0.754)	Data 0.001 (0.003)	Loss 2.6016 (2.7386)	Prec@1 38.281 (34.696)	Prec@5 64.844 (64.982)
Epoch: [27][2630/14090]	Time 0.757 (0.754)	Data 0.001 (0.003)	Loss 2.7125 (2.7383)	Prec@1 31.250 (34.698)	Prec@5 69.531 (64.988)
Epoch: [27][2640/14090]	Time 0.746 (0.754)	Data 0.001 (0.002)	Loss 2.7556 (2.7383)	Prec@1 37.500 (34.695)	Prec@5 64.844 (64.984)
Epoch: [27][2650/14090]	Time 0.732 (0.754)	Data 0.001 (0.002)	Loss 2.6268 (2.7384)	Prec@1 42.188 (34.698)	Prec@5 65.625 (64.984)
Epoch: [27][2660/14090]	Time 0.773 (0.754)	Data 0.001 (0.002)	Loss 2.6487 (2.7384)	Prec@1 39.062 (34.694)	Prec@5 66.406 (64.987)
Epoch: [27][2670/14090]	Time 0.765 (0.754)	Data 0.001 (0.002)	Loss 2.7568 (2.7386)	Prec@1 32.812 (34.685)	Prec@5 65.625 (64.982)
Epoch: [27][2680/14090]	Time 0.745 (0.754)	Data 0.001 (0.002)	Loss 2.5848 (2.7388)	Prec@1 35.938 (34.680)	Prec@5 71.094 (64.978)
Epoch: [27][2690/14090]	Time 0.769 (0.754)	Data 0.001 (0.002)	Loss 2.8895 (2.7391)	Prec@1 31.250 (34.676)	Prec@5 66.406 (64.967)
Epoch: [27][2700/14090]	Time 0.766 (0.754)	Data 0.001 (0.002)	Loss 2.6916 (2.7386)	Prec@1 36.719 (34.679)	Prec@5 64.844 (64.977)
Epoch: [27][2710/14090]	Time 0.741 (0.754)	Data 0.001 (0.002)	Loss 2.5794 (2.7388)	Prec@1 33.594 (34.670)	Prec@5 68.750 (64.975)
Epoch: [27][2720/14090]	Time 0.750 (0.754)	Data 0.001 (0.002)	Loss 2.6572 (2.7390)	Prec@1 34.375 (34.670)	Prec@5 67.188 (64.973)
Epoch: [27][2730/14090]	Time 0.778 (0.754)	Data 0.001 (0.002)	Loss 2.7224 (2.7389)	Prec@1 34.375 (34.671)	Prec@5 60.938 (64.974)
Epoch: [27][2740/14090]	Time 0.745 (0.754)	Data 0.001 (0.002)	Loss 2.9309 (2.7392)	Prec@1 31.250 (34.669)	Prec@5 54.688 (64.965)
Epoch: [27][2750/14090]	Time 0.743 (0.754)	Data 0.001 (0.002)	Loss 2.6896 (2.7392)	Prec@1 39.062 (34.675)	Prec@5 69.531 (64.967)
Epoch: [27][2760/14090]	Time 0.742 (0.754)	Data 0.001 (0.002)	Loss 2.7742 (2.7392)	Prec@1 33.594 (34.675)	Prec@5 68.750 (64.970)
Epoch: [27][2770/14090]	Time 0.737 (0.754)	Data 0.001 (0.002)	Loss 3.0560 (2.7392)	Prec@1 28.125 (34.674)	Prec@5 58.594 (64.971)
Epoch: [27][2780/14090]	Time 0.784 (0.754)	Data 0.001 (0.002)	Loss 2.7410 (2.7393)	Prec@1 32.031 (34.667)	Prec@5 59.375 (64.966)
Epoch: [27][2790/14090]	Time 0.762 (0.754)	Data 0.001 (0.002)	Loss 2.4645 (2.7393)	Prec@1 41.406 (34.664)	Prec@5 69.531 (64.966)
Epoch: [27][2800/14090]	Time 0.755 (0.754)	Data 0.001 (0.002)	Loss 2.4896 (2.7392)	Prec@1 38.281 (34.669)	Prec@5 69.531 (64.965)
Epoch: [27][2810/14090]	Time 0.774 (0.754)	Data 0.001 (0.002)	Loss 2.6943 (2.7393)	Prec@1 33.594 (34.665)	Prec@5 62.500 (64.963)
Epoch: [27][2820/14090]	Time 0.754 (0.754)	Data 0.001 (0.002)	Loss 2.9508 (2.7392)	Prec@1 32.031 (34.667)	Prec@5 60.938 (64.963)
Epoch: [27][2830/14090]	Time 0.764 (0.754)	Data 0.001 (0.002)	Loss 2.8786 (2.7391)	Prec@1 39.844 (34.671)	Prec@5 63.281 (64.963)
Epoch: [27][2840/14090]	Time 0.744 (0.754)	Data 0.001 (0.002)	Loss 2.6290 (2.7390)	Prec@1 41.406 (34.676)	Prec@5 67.188 (64.964)
Epoch: [27][2850/14090]	Time 0.736 (0.754)	Data 0.001 (0.002)	Loss 2.5370 (2.7390)	Prec@1 33.594 (34.670)	Prec@5 65.625 (64.962)
Epoch: [27][2860/14090]	Time 0.745 (0.754)	Data 0.002 (0.002)	Loss 2.5313 (2.7388)	Prec@1 33.594 (34.673)	Prec@5 67.188 (64.964)
Epoch: [27][2870/14090]	Time 0.754 (0.754)	Data 0.001 (0.002)	Loss 2.7003 (2.7389)	Prec@1 37.500 (34.675)	Prec@5 65.625 (64.964)
Epoch: [27][2880/14090]	Time 0.740 (0.754)	Data 0.001 (0.002)	Loss 2.8861 (2.7389)	Prec@1 31.250 (34.674)	Prec@5 58.594 (64.966)
Epoch: [27][2890/14090]	Time 0.747 (0.754)	Data 0.001 (0.002)	Loss 2.8222 (2.7387)	Prec@1 32.812 (34.677)	Prec@5 62.500 (64.968)
Epoch: [27][2900/14090]	Time 0.733 (0.754)	Data 0.001 (0.002)	Loss 2.6760 (2.7385)	Prec@1 34.375 (34.679)	Prec@5 62.500 (64.971)
Epoch: [27][2910/14090]	Time 0.728 (0.754)	Data 0.001 (0.002)	Loss 2.6023 (2.7382)	Prec@1 35.938 (34.677)	Prec@5 61.719 (64.976)
Epoch: [27][2920/14090]	Time 0.754 (0.754)	Data 0.001 (0.002)	Loss 3.0706 (2.7382)	Prec@1 25.000 (34.679)	Prec@5 60.156 (64.976)
Epoch: [27][2930/14090]	Time 0.736 (0.754)	Data 0.001 (0.002)	Loss 2.7499 (2.7384)	Prec@1 38.281 (34.676)	Prec@5 63.281 (64.975)
Epoch: [27][2940/14090]	Time 0.726 (0.754)	Data 0.001 (0.002)	Loss 2.7573 (2.7383)	Prec@1 34.375 (34.683)	Prec@5 69.531 (64.978)
Epoch: [27][2950/14090]	Time 0.731 (0.754)	Data 0.001 (0.002)	Loss 2.6573 (2.7385)	Prec@1 37.500 (34.675)	Prec@5 67.969 (64.973)
Epoch: [27][2960/14090]	Time 0.722 (0.754)	Data 0.001 (0.002)	Loss 2.8072 (2.7386)	Prec@1 29.688 (34.671)	Prec@5 65.625 (64.970)
Epoch: [27][2970/14090]	Time 0.742 (0.754)	Data 0.001 (0.002)	Loss 2.2411 (2.7381)	Prec@1 46.875 (34.680)	Prec@5 75.000 (64.983)
Epoch: [27][2980/14090]	Time 0.727 (0.754)	Data 0.001 (0.002)	Loss 2.9021 (2.7381)	Prec@1 32.031 (34.686)	Prec@5 66.406 (64.982)
Epoch: [27][2990/14090]	Time 0.754 (0.754)	Data 0.001 (0.002)	Loss 2.7548 (2.7378)	Prec@1 33.594 (34.688)	Prec@5 66.406 (64.989)
Epoch: [27][3000/14090]	Time 0.747 (0.754)	Data 0.001 (0.002)	Loss 2.6280 (2.7376)	Prec@1 35.938 (34.688)	Prec@5 66.406 (64.998)
Epoch: [27][3010/14090]	Time 0.746 (0.754)	Data 0.001 (0.002)	Loss 2.8202 (2.7376)	Prec@1 39.062 (34.690)	Prec@5 65.625 (64.999)
Epoch: [27][3020/14090]	Time 0.746 (0.754)	Data 0.001 (0.002)	Loss 3.1366 (2.7375)	Prec@1 26.562 (34.692)	Prec@5 62.500 (64.995)
Epoch: [27][3030/14090]	Time 0.768 (0.754)	Data 0.001 (0.002)	Loss 2.8118 (2.7371)	Prec@1 33.594 (34.702)	Prec@5 59.375 (65.001)
Epoch: [27][3040/14090]	Time 0.731 (0.754)	Data 0.001 (0.002)	Loss 2.8233 (2.7372)	Prec@1 36.719 (34.702)	Prec@5 64.062 (65.003)
Epoch: [27][3050/14090]	Time 0.737 (0.754)	Data 0.001 (0.002)	Loss 2.6416 (2.7371)	Prec@1 31.250 (34.699)	Prec@5 69.531 (65.008)
Epoch: [27][3060/14090]	Time 0.727 (0.754)	Data 0.001 (0.002)	Loss 2.6192 (2.7371)	Prec@1 35.156 (34.698)	Prec@5 70.312 (65.012)
Epoch: [27][3070/14090]	Time 0.760 (0.754)	Data 0.001 (0.002)	Loss 2.7597 (2.7369)	Prec@1 38.281 (34.703)	Prec@5 64.844 (65.016)
Epoch: [27][3080/14090]	Time 0.738 (0.754)	Data 0.001 (0.002)	Loss 2.5756 (2.7369)	Prec@1 38.281 (34.706)	Prec@5 70.312 (65.014)
Epoch: [27][3090/14090]	Time 0.748 (0.754)	Data 0.001 (0.002)	Loss 2.5516 (2.7369)	Prec@1 41.406 (34.713)	Prec@5 67.969 (65.012)
Epoch: [27][3100/14090]	Time 0.727 (0.754)	Data 0.001 (0.002)	Loss 3.0734 (2.7371)	Prec@1 25.000 (34.703)	Prec@5 57.812 (65.008)
Epoch: [27][3110/14090]	Time 0.776 (0.754)	Data 0.001 (0.002)	Loss 2.8873 (2.7371)	Prec@1 32.812 (34.701)	Prec@5 64.062 (65.012)
Epoch: [27][3120/14090]	Time 0.727 (0.754)	Data 0.001 (0.002)	Loss 2.6794 (2.7374)	Prec@1 37.500 (34.695)	Prec@5 69.531 (65.001)
Epoch: [27][3130/14090]	Time 0.738 (0.754)	Data 0.001 (0.002)	Loss 2.5529 (2.7372)	Prec@1 41.406 (34.698)	Prec@5 68.750 (65.005)
Epoch: [27][3140/14090]	Time 0.750 (0.754)	Data 0.001 (0.002)	Loss 2.4289 (2.7370)	Prec@1 40.625 (34.702)	Prec@5 71.094 (65.010)
Epoch: [27][3150/14090]	Time 0.760 (0.754)	Data 0.001 (0.002)	Loss 2.9329 (2.7368)	Prec@1 34.375 (34.710)	Prec@5 59.375 (65.017)
Epoch: [27][3160/14090]	Time 0.725 (0.754)	Data 0.001 (0.002)	Loss 2.7012 (2.7367)	Prec@1 35.938 (34.710)	Prec@5 67.188 (65.022)
Epoch: [27][3170/14090]	Time 0.749 (0.754)	Data 0.001 (0.002)	Loss 2.5129 (2.7365)	Prec@1 39.062 (34.710)	Prec@5 75.781 (65.031)
Epoch: [27][3180/14090]	Time 0.746 (0.754)	Data 0.001 (0.002)	Loss 2.7790 (2.7365)	Prec@1 35.156 (34.713)	Prec@5 65.625 (65.036)
Epoch: [27][3190/14090]	Time 0.748 (0.754)	Data 0.001 (0.002)	Loss 2.9064 (2.7363)	Prec@1 28.125 (34.713)	Prec@5 55.469 (65.035)
Epoch: [27][3200/14090]	Time 0.729 (0.754)	Data 0.001 (0.002)	Loss 2.5776 (2.7365)	Prec@1 38.281 (34.708)	Prec@5 67.969 (65.031)
Epoch: [27][3210/14090]	Time 0.758 (0.754)	Data 0.001 (0.002)	Loss 3.1112 (2.7367)	Prec@1 31.250 (34.708)	Prec@5 56.250 (65.025)
Epoch: [27][3220/14090]	Time 0.737 (0.754)	Data 0.001 (0.002)	Loss 2.7849 (2.7368)	Prec@1 35.938 (34.706)	Prec@5 64.062 (65.021)
Epoch: [27][3230/14090]	Time 0.754 (0.754)	Data 0.001 (0.002)	Loss 2.6576 (2.7369)	Prec@1 37.500 (34.704)	Prec@5 65.625 (65.016)
Epoch: [27][3240/14090]	Time 0.760 (0.754)	Data 0.001 (0.002)	Loss 2.6719 (2.7373)	Prec@1 42.188 (34.705)	Prec@5 65.625 (65.006)
Epoch: [27][3250/14090]	Time 0.778 (0.754)	Data 0.001 (0.002)	Loss 2.6234 (2.7371)	Prec@1 34.375 (34.709)	Prec@5 72.656 (65.012)
Epoch: [27][3260/14090]	Time 0.784 (0.754)	Data 0.001 (0.002)	Loss 2.6453 (2.7372)	Prec@1 35.156 (34.707)	Prec@5 63.281 (65.014)
Epoch: [27][3270/14090]	Time 0.739 (0.754)	Data 0.001 (0.002)	Loss 2.4309 (2.7373)	Prec@1 42.188 (34.708)	Prec@5 71.875 (65.013)
Epoch: [27][3280/14090]	Time 0.754 (0.754)	Data 0.001 (0.002)	Loss 3.1017 (2.7377)	Prec@1 26.562 (34.701)	Prec@5 56.250 (65.010)
Epoch: [27][3290/14090]	Time 0.756 (0.754)	Data 0.001 (0.002)	Loss 2.7491 (2.7377)	Prec@1 32.812 (34.702)	Prec@5 67.188 (65.009)
Epoch: [27][3300/14090]	Time 0.747 (0.754)	Data 0.001 (0.002)	Loss 2.6111 (2.7379)	Prec@1 40.625 (34.695)	Prec@5 66.406 (65.008)
Epoch: [27][3310/14090]	Time 0.736 (0.754)	Data 0.001 (0.002)	Loss 2.7112 (2.7381)	Prec@1 37.500 (34.690)	Prec@5 63.281 (65.006)
Epoch: [27][3320/14090]	Time 0.740 (0.754)	Data 0.001 (0.002)	Loss 2.8361 (2.7382)	Prec@1 30.469 (34.689)	Prec@5 67.188 (65.006)
Epoch: [27][3330/14090]	Time 0.749 (0.754)	Data 0.001 (0.002)	Loss 2.8055 (2.7381)	Prec@1 29.688 (34.690)	Prec@5 67.969 (65.012)
Epoch: [27][3340/14090]	Time 0.743 (0.754)	Data 0.001 (0.002)	Loss 2.7939 (2.7382)	Prec@1 35.938 (34.688)	Prec@5 65.625 (65.008)
Epoch: [27][3350/14090]	Time 0.745 (0.754)	Data 0.001 (0.002)	Loss 2.8691 (2.7383)	Prec@1 32.031 (34.684)	Prec@5 62.500 (65.010)
Epoch: [27][3360/14090]	Time 0.779 (0.754)	Data 0.002 (0.002)	Loss 3.0329 (2.7383)	Prec@1 27.344 (34.682)	Prec@5 59.375 (65.010)
Epoch: [27][3370/14090]	Time 0.869 (0.754)	Data 0.001 (0.002)	Loss 2.6431 (2.7384)	Prec@1 37.500 (34.686)	Prec@5 63.281 (65.008)
Epoch: [27][3380/14090]	Time 0.774 (0.754)	Data 0.001 (0.002)	Loss 2.8871 (2.7384)	Prec@1 27.344 (34.682)	Prec@5 64.062 (65.014)
Epoch: [27][3390/14090]	Time 0.738 (0.754)	Data 0.001 (0.002)	Loss 3.2497 (2.7382)	Prec@1 30.469 (34.687)	Prec@5 51.562 (65.014)
Epoch: [27][3400/14090]	Time 0.782 (0.754)	Data 0.001 (0.002)	Loss 2.7038 (2.7383)	Prec@1 40.625 (34.693)	Prec@5 66.406 (65.014)
Epoch: [27][3410/14090]	Time 0.748 (0.754)	Data 0.001 (0.002)	Loss 2.6381 (2.7383)	Prec@1 36.719 (34.691)	Prec@5 68.750 (65.014)
Epoch: [27][3420/14090]	Time 0.739 (0.754)	Data 0.001 (0.002)	Loss 2.6511 (2.7381)	Prec@1 35.156 (34.692)	Prec@5 65.625 (65.017)
Epoch: [27][3430/14090]	Time 0.781 (0.754)	Data 0.001 (0.002)	Loss 2.6225 (2.7384)	Prec@1 36.719 (34.688)	Prec@5 67.969 (65.016)
Epoch: [27][3440/14090]	Time 0.738 (0.754)	Data 0.001 (0.002)	Loss 2.7111 (2.7386)	Prec@1 33.594 (34.686)	Prec@5 67.188 (65.014)
Epoch: [27][3450/14090]	Time 0.753 (0.754)	Data 0.001 (0.002)	Loss 2.9478 (2.7388)	Prec@1 33.594 (34.685)	Prec@5 63.281 (65.011)
Epoch: [27][3460/14090]	Time 0.735 (0.754)	Data 0.001 (0.002)	Loss 2.6326 (2.7386)	Prec@1 35.938 (34.689)	Prec@5 70.312 (65.015)
Epoch: [27][3470/14090]	Time 0.766 (0.754)	Data 0.001 (0.002)	Loss 2.9791 (2.7386)	Prec@1 28.125 (34.690)	Prec@5 59.375 (65.013)
Epoch: [27][3480/14090]	Time 0.763 (0.754)	Data 0.001 (0.002)	Loss 2.7208 (2.7386)	Prec@1 31.250 (34.686)	Prec@5 64.062 (65.011)
Epoch: [27][3490/14090]	Time 0.769 (0.754)	Data 0.001 (0.002)	Loss 3.1696 (2.7389)	Prec@1 32.031 (34.676)	Prec@5 60.938 (65.006)
Epoch: [27][3500/14090]	Time 0.773 (0.754)	Data 0.001 (0.002)	Loss 2.7238 (2.7391)	Prec@1 35.156 (34.671)	Prec@5 65.625 (65.002)
Epoch: [27][3510/14090]	Time 0.749 (0.754)	Data 0.001 (0.002)	Loss 2.8665 (2.7391)	Prec@1 26.562 (34.670)	Prec@5 62.500 (65.004)
Epoch: [27][3520/14090]	Time 0.772 (0.754)	Data 0.001 (0.002)	Loss 3.0525 (2.7391)	Prec@1 32.031 (34.672)	Prec@5 58.594 (65.002)
Epoch: [27][3530/14090]	Time 0.779 (0.754)	Data 0.001 (0.002)	Loss 2.9406 (2.7394)	Prec@1 33.594 (34.668)	Prec@5 62.500 (64.997)
Epoch: [27][3540/14090]	Time 0.744 (0.754)	Data 0.001 (0.002)	Loss 2.6527 (2.7395)	Prec@1 38.281 (34.667)	Prec@5 64.062 (64.992)
Epoch: [27][3550/14090]	Time 0.732 (0.754)	Data 0.001 (0.002)	Loss 2.5719 (2.7393)	Prec@1 36.719 (34.669)	Prec@5 67.188 (64.995)
Epoch: [27][3560/14090]	Time 0.780 (0.754)	Data 0.001 (0.002)	Loss 2.8790 (2.7394)	Prec@1 32.031 (34.668)	Prec@5 65.625 (64.996)
Epoch: [27][3570/14090]	Time 0.719 (0.754)	Data 0.001 (0.002)	Loss 2.7467 (2.7395)	Prec@1 38.281 (34.665)	Prec@5 67.188 (64.990)
Epoch: [27][3580/14090]	Time 0.754 (0.754)	Data 0.001 (0.002)	Loss 2.9006 (2.7396)	Prec@1 28.125 (34.662)	Prec@5 64.844 (64.990)
Epoch: [27][3590/14090]	Time 0.755 (0.754)	Data 0.001 (0.002)	Loss 2.9291 (2.7397)	Prec@1 32.812 (34.660)	Prec@5 61.719 (64.991)
Epoch: [27][3600/14090]	Time 0.747 (0.754)	Data 0.001 (0.002)	Loss 2.7088 (2.7398)	Prec@1 36.719 (34.661)	Prec@5 61.719 (64.985)
Epoch: [27][3610/14090]	Time 0.732 (0.754)	Data 0.001 (0.002)	Loss 2.7923 (2.7399)	Prec@1 35.156 (34.658)	Prec@5 60.156 (64.982)
Epoch: [27][3620/14090]	Time 0.746 (0.754)	Data 0.001 (0.002)	Loss 2.4672 (2.7397)	Prec@1 35.938 (34.663)	Prec@5 72.656 (64.984)
Epoch: [27][3630/14090]	Time 0.743 (0.754)	Data 0.001 (0.002)	Loss 2.7811 (2.7396)	Prec@1 32.031 (34.667)	Prec@5 64.062 (64.984)
Epoch: [27][3640/14090]	Time 0.743 (0.754)	Data 0.001 (0.002)	Loss 2.9912 (2.7397)	Prec@1 31.250 (34.665)	Prec@5 58.594 (64.984)
Epoch: [27][3650/14090]	Time 0.766 (0.754)	Data 0.001 (0.002)	Loss 2.7462 (2.7398)	Prec@1 33.594 (34.663)	Prec@5 60.156 (64.978)
Epoch: [27][3660/14090]	Time 0.733 (0.754)	Data 0.001 (0.002)	Loss 2.7131 (2.7398)	Prec@1 36.719 (34.665)	Prec@5 66.406 (64.978)
Epoch: [27][3670/14090]	Time 0.753 (0.754)	Data 0.001 (0.002)	Loss 2.6350 (2.7400)	Prec@1 39.844 (34.664)	Prec@5 67.188 (64.975)
Epoch: [27][3680/14090]	Time 0.735 (0.754)	Data 0.001 (0.002)	Loss 2.6188 (2.7401)	Prec@1 35.938 (34.664)	Prec@5 64.062 (64.970)
Epoch: [27][3690/14090]	Time 0.730 (0.754)	Data 0.001 (0.002)	Loss 2.9696 (2.7401)	Prec@1 32.031 (34.665)	Prec@5 61.719 (64.969)
Epoch: [27][3700/14090]	Time 0.750 (0.754)	Data 0.001 (0.002)	Loss 2.8695 (2.7403)	Prec@1 33.594 (34.661)	Prec@5 60.156 (64.969)
Epoch: [27][3710/14090]	Time 0.739 (0.754)	Data 0.001 (0.002)	Loss 2.6975 (2.7404)	Prec@1 36.719 (34.659)	Prec@5 65.625 (64.970)
Epoch: [27][3720/14090]	Time 0.742 (0.754)	Data 0.001 (0.002)	Loss 2.9667 (2.7406)	Prec@1 27.344 (34.655)	Prec@5 57.031 (64.965)
Epoch: [27][3730/14090]	Time 0.744 (0.754)	Data 0.001 (0.002)	Loss 2.5069 (2.7406)	Prec@1 42.188 (34.655)	Prec@5 66.406 (64.964)
Epoch: [27][3740/14090]	Time 0.731 (0.754)	Data 0.001 (0.002)	Loss 2.6147 (2.7409)	Prec@1 34.375 (34.645)	Prec@5 68.750 (64.957)
Epoch: [27][3750/14090]	Time 0.778 (0.754)	Data 0.001 (0.002)	Loss 2.6439 (2.7409)	Prec@1 38.281 (34.644)	Prec@5 69.531 (64.959)
Epoch: [27][3760/14090]	Time 0.763 (0.754)	Data 0.001 (0.002)	Loss 2.6731 (2.7410)	Prec@1 38.281 (34.644)	Prec@5 65.625 (64.959)
Epoch: [27][3770/14090]	Time 0.732 (0.754)	Data 0.001 (0.002)	Loss 2.7896 (2.7411)	Prec@1 32.812 (34.642)	Prec@5 61.719 (64.959)
Epoch: [27][3780/14090]	Time 0.744 (0.754)	Data 0.001 (0.002)	Loss 2.6174 (2.7410)	Prec@1 36.719 (34.645)	Prec@5 64.062 (64.961)
Epoch: [27][3790/14090]	Time 0.856 (0.754)	Data 0.001 (0.002)	Loss 2.4902 (2.7409)	Prec@1 38.281 (34.645)	Prec@5 70.312 (64.966)
Epoch: [27][3800/14090]	Time 0.751 (0.754)	Data 0.001 (0.002)	Loss 2.7660 (2.7410)	Prec@1 32.812 (34.645)	Prec@5 64.062 (64.963)
Epoch: [27][3810/14090]	Time 0.774 (0.754)	Data 0.001 (0.002)	Loss 2.4685 (2.7409)	Prec@1 44.531 (34.647)	Prec@5 65.625 (64.963)
Epoch: [27][3820/14090]	Time 0.753 (0.754)	Data 0.001 (0.002)	Loss 2.6596 (2.7412)	Prec@1 35.938 (34.642)	Prec@5 62.500 (64.958)
Epoch: [27][3830/14090]	Time 0.744 (0.754)	Data 0.001 (0.002)	Loss 2.9774 (2.7414)	Prec@1 28.906 (34.638)	Prec@5 61.719 (64.954)
Epoch: [27][3840/14090]	Time 0.726 (0.754)	Data 0.001 (0.002)	Loss 2.8858 (2.7415)	Prec@1 33.594 (34.636)	Prec@5 64.844 (64.953)
Epoch: [27][3850/14090]	Time 0.750 (0.754)	Data 0.001 (0.002)	Loss 2.6953 (2.7415)	Prec@1 32.812 (34.637)	Prec@5 67.188 (64.950)
Epoch: [27][3860/14090]	Time 0.832 (0.754)	Data 0.001 (0.002)	Loss 2.5398 (2.7416)	Prec@1 36.719 (34.633)	Prec@5 71.094 (64.948)
Epoch: [27][3870/14090]	Time 0.743 (0.754)	Data 0.001 (0.002)	Loss 2.9590 (2.7417)	Prec@1 30.469 (34.631)	Prec@5 63.281 (64.948)
Epoch: [27][3880/14090]	Time 0.750 (0.754)	Data 0.001 (0.002)	Loss 2.6455 (2.7415)	Prec@1 41.406 (34.639)	Prec@5 67.969 (64.951)
Epoch: [27][3890/14090]	Time 0.745 (0.754)	Data 0.001 (0.002)	Loss 2.7825 (2.7411)	Prec@1 35.938 (34.652)	Prec@5 63.281 (64.960)
Epoch: [27][3900/14090]	Time 0.767 (0.754)	Data 0.001 (0.002)	Loss 2.3201 (2.7410)	Prec@1 39.062 (34.657)	Prec@5 75.000 (64.961)
Epoch: [27][3910/14090]	Time 0.751 (0.754)	Data 0.001 (0.002)	Loss 2.8690 (2.7413)	Prec@1 28.906 (34.650)	Prec@5 62.500 (64.958)
Epoch: [27][3920/14090]	Time 0.748 (0.754)	Data 0.001 (0.002)	Loss 3.0757 (2.7412)	Prec@1 27.344 (34.649)	Prec@5 54.688 (64.951)
Epoch: [27][3930/14090]	Time 0.740 (0.754)	Data 0.001 (0.002)	Loss 2.6643 (2.7414)	Prec@1 29.688 (34.645)	Prec@5 65.625 (64.947)
Epoch: [27][3940/14090]	Time 0.761 (0.754)	Data 0.001 (0.002)	Loss 2.8796 (2.7413)	Prec@1 32.031 (34.643)	Prec@5 58.594 (64.947)
Epoch: [27][3950/14090]	Time 0.737 (0.754)	Data 0.001 (0.002)	Loss 2.5231 (2.7413)	Prec@1 42.969 (34.639)	Prec@5 69.531 (64.950)
Epoch: [27][3960/14090]	Time 0.773 (0.754)	Data 0.001 (0.002)	Loss 2.8865 (2.7414)	Prec@1 34.375 (34.636)	Prec@5 61.719 (64.948)
Epoch: [27][3970/14090]	Time 0.741 (0.754)	Data 0.001 (0.002)	Loss 2.8020 (2.7415)	Prec@1 34.375 (34.634)	Prec@5 64.062 (64.945)
Epoch: [27][3980/14090]	Time 0.743 (0.754)	Data 0.001 (0.002)	Loss 2.7348 (2.7416)	Prec@1 34.375 (34.638)	Prec@5 65.625 (64.943)
Epoch: [27][3990/14090]	Time 0.744 (0.754)	Data 0.001 (0.002)	Loss 2.5738 (2.7417)	Prec@1 35.156 (34.634)	Prec@5 69.531 (64.942)
Epoch: [27][4000/14090]	Time 0.765 (0.754)	Data 0.001 (0.002)	Loss 2.6578 (2.7418)	Prec@1 35.938 (34.628)	Prec@5 66.406 (64.940)
Epoch: [27][4010/14090]	Time 0.746 (0.754)	Data 0.001 (0.002)	Loss 2.9145 (2.7416)	Prec@1 28.906 (34.627)	Prec@5 64.844 (64.946)
Epoch: [27][4020/14090]	Time 0.734 (0.754)	Data 0.001 (0.002)	Loss 2.6353 (2.7415)	Prec@1 34.375 (34.630)	Prec@5 74.219 (64.948)
Epoch: [27][4030/14090]	Time 0.743 (0.754)	Data 0.001 (0.002)	Loss 2.6471 (2.7416)	Prec@1 36.719 (34.630)	Prec@5 66.406 (64.948)
Epoch: [27][4040/14090]	Time 0.743 (0.754)	Data 0.001 (0.002)	Loss 3.0263 (2.7416)	Prec@1 28.125 (34.627)	Prec@5 54.688 (64.950)
Epoch: [27][4050/14090]	Time 0.782 (0.754)	Data 0.001 (0.002)	Loss 2.6502 (2.7417)	Prec@1 32.031 (34.624)	Prec@5 65.625 (64.947)
Epoch: [27][4060/14090]	Time 0.752 (0.754)	Data 0.001 (0.002)	Loss 2.7470 (2.7417)	Prec@1 35.156 (34.627)	Prec@5 66.406 (64.942)
Epoch: [27][4070/14090]	Time 0.766 (0.754)	Data 0.001 (0.002)	Loss 2.7624 (2.7417)	Prec@1 27.344 (34.626)	Prec@5 67.969 (64.942)
Epoch: [27][4080/14090]	Time 0.737 (0.754)	Data 0.001 (0.002)	Loss 2.5529 (2.7414)	Prec@1 38.281 (34.626)	Prec@5 67.188 (64.948)
Epoch: [27][4090/14090]	Time 0.748 (0.754)	Data 0.001 (0.002)	Loss 2.7084 (2.7415)	Prec@1 35.156 (34.624)	Prec@5 64.062 (64.946)
Epoch: [27][4100/14090]	Time 0.791 (0.754)	Data 0.001 (0.002)	Loss 2.4800 (2.7413)	Prec@1 37.500 (34.629)	Prec@5 71.875 (64.951)
Epoch: [27][4110/14090]	Time 0.753 (0.754)	Data 0.001 (0.002)	Loss 2.6849 (2.7415)	Prec@1 38.281 (34.626)	Prec@5 62.500 (64.950)
Epoch: [27][4120/14090]	Time 0.737 (0.754)	Data 0.001 (0.002)	Loss 2.6765 (2.7414)	Prec@1 40.625 (34.632)	Prec@5 64.062 (64.949)
Epoch: [27][4130/14090]	Time 0.760 (0.754)	Data 0.001 (0.002)	Loss 2.4587 (2.7413)	Prec@1 35.938 (34.627)	Prec@5 72.656 (64.949)
Epoch: [27][4140/14090]	Time 0.788 (0.754)	Data 0.001 (0.002)	Loss 2.9578 (2.7414)	Prec@1 24.219 (34.625)	Prec@5 60.938 (64.950)
Epoch: [27][4150/14090]	Time 0.736 (0.754)	Data 0.001 (0.002)	Loss 3.0991 (2.7416)	Prec@1 32.031 (34.623)	Prec@5 59.375 (64.943)
Epoch: [27][4160/14090]	Time 0.727 (0.754)	Data 0.001 (0.002)	Loss 2.9085 (2.7417)	Prec@1 34.375 (34.628)	Prec@5 67.969 (64.941)
Epoch: [27][4170/14090]	Time 0.737 (0.754)	Data 0.001 (0.002)	Loss 2.7292 (2.7417)	Prec@1 35.156 (34.624)	Prec@5 63.281 (64.938)
Epoch: [27][4180/14090]	Time 0.740 (0.754)	Data 0.001 (0.002)	Loss 2.3269 (2.7412)	Prec@1 46.875 (34.633)	Prec@5 71.875 (64.948)
Epoch: [27][4190/14090]	Time 0.771 (0.754)	Data 0.001 (0.002)	Loss 2.6667 (2.7409)	Prec@1 38.281 (34.641)	Prec@5 66.406 (64.950)
Epoch: [27][4200/14090]	Time 0.747 (0.754)	Data 0.001 (0.002)	Loss 2.6417 (2.7411)	Prec@1 39.062 (34.638)	Prec@5 64.062 (64.948)
Epoch: [27][4210/14090]	Time 0.858 (0.754)	Data 0.001 (0.002)	Loss 2.7169 (2.7410)	Prec@1 32.031 (34.638)	Prec@5 65.625 (64.952)
Epoch: [27][4220/14090]	Time 0.732 (0.754)	Data 0.001 (0.002)	Loss 2.4457 (2.7408)	Prec@1 36.719 (34.640)	Prec@5 73.438 (64.958)
Epoch: [27][4230/14090]	Time 0.741 (0.754)	Data 0.001 (0.002)	Loss 2.7256 (2.7407)	Prec@1 35.938 (34.645)	Prec@5 67.188 (64.961)
Epoch: [27][4240/14090]	Time 0.750 (0.754)	Data 0.001 (0.002)	Loss 2.7735 (2.7408)	Prec@1 32.812 (34.645)	Prec@5 61.719 (64.960)
Epoch: [27][4250/14090]	Time 0.745 (0.754)	Data 0.001 (0.002)	Loss 2.8107 (2.7407)	Prec@1 39.844 (34.648)	Prec@5 64.844 (64.964)
Epoch: [27][4260/14090]	Time 0.759 (0.754)	Data 0.001 (0.002)	Loss 2.5234 (2.7408)	Prec@1 38.281 (34.643)	Prec@5 68.750 (64.964)
Epoch: [27][4270/14090]	Time 0.784 (0.754)	Data 0.001 (0.002)	Loss 2.7468 (2.7411)	Prec@1 35.156 (34.637)	Prec@5 72.656 (64.963)
Epoch: [27][4280/14090]	Time 0.865 (0.754)	Data 0.002 (0.002)	Loss 2.7989 (2.7413)	Prec@1 40.625 (34.638)	Prec@5 67.188 (64.957)
Epoch: [27][4290/14090]	Time 0.730 (0.754)	Data 0.001 (0.002)	Loss 2.8489 (2.7412)	Prec@1 28.125 (34.640)	Prec@5 64.844 (64.957)
Epoch: [27][4300/14090]	Time 0.739 (0.754)	Data 0.001 (0.002)	Loss 3.0691 (2.7413)	Prec@1 25.781 (34.635)	Prec@5 56.250 (64.956)
Epoch: [27][4310/14090]	Time 0.722 (0.754)	Data 0.001 (0.002)	Loss 2.7435 (2.7414)	Prec@1 32.031 (34.632)	Prec@5 67.969 (64.954)
Epoch: [27][4320/14090]	Time 0.740 (0.754)	Data 0.001 (0.002)	Loss 2.5890 (2.7414)	Prec@1 35.156 (34.633)	Prec@5 66.406 (64.957)
Epoch: [27][4330/14090]	Time 0.767 (0.754)	Data 0.001 (0.002)	Loss 2.6364 (2.7413)	Prec@1 35.938 (34.636)	Prec@5 67.188 (64.956)
Epoch: [27][4340/14090]	Time 0.757 (0.754)	Data 0.001 (0.002)	Loss 2.7195 (2.7415)	Prec@1 35.156 (34.635)	Prec@5 69.531 (64.953)
Epoch: [27][4350/14090]	Time 0.735 (0.754)	Data 0.001 (0.002)	Loss 2.7969 (2.7415)	Prec@1 41.406 (34.633)	Prec@5 61.719 (64.951)
Epoch: [27][4360/14090]	Time 0.736 (0.754)	Data 0.001 (0.002)	Loss 2.6519 (2.7413)	Prec@1 40.625 (34.641)	Prec@5 64.844 (64.953)
Epoch: [27][4370/14090]	Time 0.776 (0.754)	Data 0.001 (0.002)	Loss 2.7050 (2.7412)	Prec@1 34.375 (34.638)	Prec@5 61.719 (64.954)
Epoch: [27][4380/14090]	Time 0.759 (0.754)	Data 0.001 (0.002)	Loss 2.6894 (2.7413)	Prec@1 37.500 (34.641)	Prec@5 69.531 (64.955)
Epoch: [27][4390/14090]	Time 0.780 (0.754)	Data 0.001 (0.002)	Loss 2.9474 (2.7411)	Prec@1 31.250 (34.642)	Prec@5 60.156 (64.955)
Epoch: [27][4400/14090]	Time 0.750 (0.754)	Data 0.001 (0.002)	Loss 2.6344 (2.7413)	Prec@1 35.938 (34.635)	Prec@5 64.844 (64.950)
Epoch: [27][4410/14090]	Time 0.752 (0.754)	Data 0.001 (0.002)	Loss 2.7599 (2.7414)	Prec@1 32.031 (34.634)	Prec@5 62.500 (64.944)
Epoch: [27][4420/14090]	Time 0.750 (0.754)	Data 0.001 (0.002)	Loss 2.7767 (2.7413)	Prec@1 37.500 (34.636)	Prec@5 62.500 (64.943)
Epoch: [27][4430/14090]	Time 0.744 (0.754)	Data 0.001 (0.002)	Loss 3.0131 (2.7412)	Prec@1 27.344 (34.638)	Prec@5 60.938 (64.946)
Epoch: [27][4440/14090]	Time 0.777 (0.754)	Data 0.001 (0.002)	Loss 2.6111 (2.7414)	Prec@1 38.281 (34.637)	Prec@5 65.625 (64.942)
Epoch: [27][4450/14090]	Time 0.746 (0.754)	Data 0.001 (0.002)	Loss 3.0222 (2.7414)	Prec@1 30.469 (34.635)	Prec@5 57.031 (64.943)
Epoch: [27][4460/14090]	Time 0.753 (0.754)	Data 0.001 (0.002)	Loss 2.8818 (2.7414)	Prec@1 28.906 (34.631)	Prec@5 65.625 (64.944)
Epoch: [27][4470/14090]	Time 0.751 (0.754)	Data 0.001 (0.002)	Loss 2.8408 (2.7413)	Prec@1 37.500 (34.633)	Prec@5 65.625 (64.947)
Epoch: [27][4480/14090]	Time 0.760 (0.754)	Data 0.001 (0.002)	Loss 2.7553 (2.7415)	Prec@1 32.812 (34.630)	Prec@5 65.625 (64.946)
Epoch: [27][4490/14090]	Time 0.756 (0.754)	Data 0.001 (0.002)	Loss 2.6125 (2.7414)	Prec@1 34.375 (34.632)	Prec@5 64.062 (64.948)
Epoch: [27][4500/14090]	Time 0.737 (0.754)	Data 0.001 (0.002)	Loss 2.8248 (2.7413)	Prec@1 30.469 (34.632)	Prec@5 60.156 (64.953)
Epoch: [27][4510/14090]	Time 0.746 (0.754)	Data 0.001 (0.002)	Loss 2.7116 (2.7412)	Prec@1 34.375 (34.633)	Prec@5 60.938 (64.956)
Epoch: [27][4520/14090]	Time 0.753 (0.754)	Data 0.001 (0.002)	Loss 2.6868 (2.7413)	Prec@1 38.281 (34.630)	Prec@5 60.938 (64.952)
Epoch: [27][4530/14090]	Time 0.728 (0.753)	Data 0.001 (0.002)	Loss 2.7139 (2.7414)	Prec@1 36.719 (34.627)	Prec@5 64.844 (64.951)
Epoch: [27][4540/14090]	Time 0.784 (0.753)	Data 0.001 (0.002)	Loss 2.5493 (2.7414)	Prec@1 35.938 (34.625)	Prec@5 71.094 (64.951)
Epoch: [27][4550/14090]	Time 0.732 (0.753)	Data 0.001 (0.002)	Loss 2.7559 (2.7413)	Prec@1 37.500 (34.626)	Prec@5 63.281 (64.956)
Epoch: [27][4560/14090]	Time 0.735 (0.753)	Data 0.001 (0.002)	Loss 2.7295 (2.7414)	Prec@1 36.719 (34.628)	Prec@5 66.406 (64.957)
Epoch: [27][4570/14090]	Time 0.744 (0.753)	Data 0.001 (0.002)	Loss 2.7284 (2.7414)	Prec@1 32.812 (34.629)	Prec@5 66.406 (64.958)
Epoch: [27][4580/14090]	Time 0.737 (0.753)	Data 0.001 (0.002)	Loss 2.6421 (2.7414)	Prec@1 38.281 (34.631)	Prec@5 66.406 (64.958)
Epoch: [27][4590/14090]	Time 0.756 (0.753)	Data 0.001 (0.002)	Loss 2.7712 (2.7413)	Prec@1 34.375 (34.633)	Prec@5 66.406 (64.959)
Epoch: [27][4600/14090]	Time 0.753 (0.753)	Data 0.001 (0.002)	Loss 2.5971 (2.7412)	Prec@1 32.812 (34.634)	Prec@5 68.750 (64.965)
Epoch: [27][4610/14090]	Time 0.790 (0.753)	Data 0.001 (0.002)	Loss 2.4234 (2.7413)	Prec@1 42.188 (34.633)	Prec@5 73.438 (64.965)
Epoch: [27][4620/14090]	Time 0.739 (0.753)	Data 0.001 (0.002)	Loss 2.7057 (2.7412)	Prec@1 35.938 (34.639)	Prec@5 62.500 (64.966)
Epoch: [27][4630/14090]	Time 0.763 (0.753)	Data 0.001 (0.002)	Loss 3.0269 (2.7413)	Prec@1 23.438 (34.632)	Prec@5 60.938 (64.963)
Epoch: [27][4640/14090]	Time 0.768 (0.754)	Data 0.000 (0.002)	Loss 2.6321 (2.7414)	Prec@1 34.375 (34.628)	Prec@5 67.969 (64.961)
Epoch: [27][4650/14090]	Time 0.734 (0.753)	Data 0.001 (0.002)	Loss 2.7207 (2.7413)	Prec@1 36.719 (34.626)	Prec@5 64.844 (64.960)
Epoch: [27][4660/14090]	Time 0.742 (0.753)	Data 0.001 (0.002)	Loss 3.1658 (2.7415)	Prec@1 30.469 (34.623)	Prec@5 58.594 (64.956)
Epoch: [27][4670/14090]	Time 0.731 (0.754)	Data 0.001 (0.002)	Loss 3.1707 (2.7416)	Prec@1 29.688 (34.621)	Prec@5 57.812 (64.953)
Epoch: [27][4680/14090]	Time 0.746 (0.754)	Data 0.001 (0.002)	Loss 2.9128 (2.7418)	Prec@1 30.469 (34.620)	Prec@5 61.719 (64.952)
Epoch: [27][4690/14090]	Time 0.757 (0.754)	Data 0.003 (0.002)	Loss 2.7291 (2.7416)	Prec@1 39.062 (34.621)	Prec@5 69.531 (64.956)
Epoch: [27][4700/14090]	Time 0.779 (0.754)	Data 0.001 (0.002)	Loss 2.6176 (2.7415)	Prec@1 35.938 (34.620)	Prec@5 66.406 (64.959)
Epoch: [27][4710/14090]	Time 0.740 (0.754)	Data 0.001 (0.002)	Loss 3.0111 (2.7415)	Prec@1 26.562 (34.619)	Prec@5 60.156 (64.960)
Epoch: [27][4720/14090]	Time 0.752 (0.754)	Data 0.001 (0.002)	Loss 2.6131 (2.7414)	Prec@1 35.938 (34.618)	Prec@5 61.719 (64.959)
Epoch: [27][4730/14090]	Time 0.782 (0.753)	Data 0.001 (0.002)	Loss 2.6524 (2.7414)	Prec@1 39.844 (34.616)	Prec@5 68.750 (64.961)
Epoch: [27][4740/14090]	Time 0.768 (0.753)	Data 0.001 (0.002)	Loss 2.5454 (2.7413)	Prec@1 39.844 (34.617)	Prec@5 70.312 (64.963)
Epoch: [27][4750/14090]	Time 0.746 (0.753)	Data 0.001 (0.002)	Loss 2.7252 (2.7413)	Prec@1 38.281 (34.616)	Prec@5 58.594 (64.964)
Epoch: [27][4760/14090]	Time 0.755 (0.753)	Data 0.001 (0.002)	Loss 2.6648 (2.7412)	Prec@1 32.812 (34.617)	Prec@5 67.188 (64.968)
Epoch: [27][4770/14090]	Time 0.826 (0.753)	Data 0.001 (0.002)	Loss 2.7159 (2.7412)	Prec@1 35.156 (34.616)	Prec@5 65.625 (64.969)
Epoch: [27][4780/14090]	Time 0.778 (0.753)	Data 0.001 (0.002)	Loss 2.5760 (2.7412)	Prec@1 34.375 (34.613)	Prec@5 71.094 (64.969)
Epoch: [27][4790/14090]	Time 0.741 (0.753)	Data 0.001 (0.002)	Loss 2.6678 (2.7411)	Prec@1 35.938 (34.613)	Prec@5 69.531 (64.971)
Epoch: [27][4800/14090]	Time 0.748 (0.753)	Data 0.001 (0.002)	Loss 2.6186 (2.7411)	Prec@1 39.844 (34.612)	Prec@5 66.406 (64.973)
Epoch: [27][4810/14090]	Time 0.753 (0.753)	Data 0.001 (0.002)	Loss 2.3974 (2.7410)	Prec@1 40.625 (34.615)	Prec@5 75.000 (64.977)
Epoch: [27][4820/14090]	Time 0.740 (0.753)	Data 0.001 (0.002)	Loss 2.6086 (2.7408)	Prec@1 33.594 (34.616)	Prec@5 64.062 (64.978)
Epoch: [27][4830/14090]	Time 0.756 (0.753)	Data 0.001 (0.002)	Loss 3.2421 (2.7409)	Prec@1 23.438 (34.612)	Prec@5 56.250 (64.977)
Epoch: [27][4840/14090]	Time 0.775 (0.753)	Data 0.001 (0.002)	Loss 2.6917 (2.7409)	Prec@1 32.812 (34.610)	Prec@5 65.625 (64.982)
Epoch: [27][4850/14090]	Time 0.750 (0.753)	Data 0.001 (0.002)	Loss 2.7835 (2.7409)	Prec@1 32.031 (34.610)	Prec@5 60.156 (64.984)
Epoch: [27][4860/14090]	Time 0.752 (0.753)	Data 0.001 (0.002)	Loss 2.6467 (2.7410)	Prec@1 35.156 (34.608)	Prec@5 71.094 (64.980)
Epoch: [27][4870/14090]	Time 0.734 (0.753)	Data 0.001 (0.002)	Loss 2.5178 (2.7408)	Prec@1 39.062 (34.610)	Prec@5 68.750 (64.982)
Epoch: [27][4880/14090]	Time 0.765 (0.753)	Data 0.001 (0.002)	Loss 2.4869 (2.7407)	Prec@1 36.719 (34.611)	Prec@5 67.969 (64.988)
Epoch: [27][4890/14090]	Time 0.751 (0.753)	Data 0.001 (0.002)	Loss 2.7509 (2.7408)	Prec@1 35.938 (34.608)	Prec@5 66.406 (64.983)
Epoch: [27][4900/14090]	Time 0.745 (0.753)	Data 0.001 (0.002)	Loss 2.9622 (2.7409)	Prec@1 28.125 (34.607)	Prec@5 62.500 (64.985)
Epoch: [27][4910/14090]	Time 0.781 (0.753)	Data 0.001 (0.002)	Loss 2.6170 (2.7408)	Prec@1 33.594 (34.608)	Prec@5 67.969 (64.986)
Epoch: [27][4920/14090]	Time 0.761 (0.753)	Data 0.001 (0.002)	Loss 2.9280 (2.7406)	Prec@1 35.156 (34.612)	Prec@5 60.156 (64.989)
Epoch: [27][4930/14090]	Time 0.736 (0.753)	Data 0.001 (0.002)	Loss 2.7591 (2.7404)	Prec@1 36.719 (34.616)	Prec@5 66.406 (64.994)
Epoch: [27][4940/14090]	Time 0.751 (0.753)	Data 0.001 (0.002)	Loss 2.7812 (2.7403)	Prec@1 33.594 (34.616)	Prec@5 63.281 (64.997)
Epoch: [27][4950/14090]	Time 0.745 (0.753)	Data 0.001 (0.002)	Loss 2.6180 (2.7403)	Prec@1 35.156 (34.617)	Prec@5 67.969 (64.998)
Epoch: [27][4960/14090]	Time 0.778 (0.753)	Data 0.001 (0.002)	Loss 2.7294 (2.7403)	Prec@1 35.938 (34.619)	Prec@5 65.625 (64.999)
Epoch: [27][4970/14090]	Time 0.735 (0.753)	Data 0.001 (0.002)	Loss 2.5745 (2.7404)	Prec@1 41.406 (34.616)	Prec@5 66.406 (64.995)
Epoch: [27][4980/14090]	Time 0.778 (0.753)	Data 0.001 (0.002)	Loss 2.6257 (2.7403)	Prec@1 34.375 (34.616)	Prec@5 69.531 (65.000)
Epoch: [27][4990/14090]	Time 0.744 (0.753)	Data 0.001 (0.002)	Loss 2.5580 (2.7403)	Prec@1 35.938 (34.617)	Prec@5 67.969 (65.004)
Epoch: [27][5000/14090]	Time 0.757 (0.753)	Data 0.001 (0.002)	Loss 2.5011 (2.7401)	Prec@1 40.625 (34.621)	Prec@5 67.188 (65.005)
Epoch: [27][5010/14090]	Time 0.744 (0.753)	Data 0.001 (0.002)	Loss 3.1344 (2.7400)	Prec@1 32.031 (34.623)	Prec@5 61.719 (65.007)
Epoch: [27][5020/14090]	Time 0.738 (0.753)	Data 0.001 (0.002)	Loss 3.1765 (2.7402)	Prec@1 29.688 (34.622)	Prec@5 55.469 (65.004)
Epoch: [27][5030/14090]	Time 0.739 (0.753)	Data 0.001 (0.002)	Loss 2.6688 (2.7404)	Prec@1 35.156 (34.617)	Prec@5 64.844 (65.000)
Epoch: [27][5040/14090]	Time 0.757 (0.753)	Data 0.001 (0.002)	Loss 2.5104 (2.7403)	Prec@1 36.719 (34.621)	Prec@5 67.969 (65.004)
Epoch: [27][5050/14090]	Time 0.743 (0.753)	Data 0.001 (0.002)	Loss 2.7454 (2.7402)	Prec@1 33.594 (34.624)	Prec@5 67.188 (65.004)
Epoch: [27][5060/14090]	Time 0.744 (0.753)	Data 0.001 (0.002)	Loss 2.5786 (2.7402)	Prec@1 36.719 (34.622)	Prec@5 69.531 (65.007)
Epoch: [27][5070/14090]	Time 0.755 (0.753)	Data 0.001 (0.002)	Loss 2.7390 (2.7401)	Prec@1 36.719 (34.624)	Prec@5 60.156 (65.010)
Epoch: [27][5080/14090]	Time 0.737 (0.753)	Data 0.001 (0.002)	Loss 2.4210 (2.7401)	Prec@1 39.062 (34.623)	Prec@5 71.094 (65.007)
Epoch: [27][5090/14090]	Time 0.741 (0.753)	Data 0.001 (0.002)	Loss 2.7229 (2.7402)	Prec@1 25.000 (34.620)	Prec@5 70.312 (65.007)
Epoch: [27][5100/14090]	Time 0.748 (0.753)	Data 0.001 (0.002)	Loss 2.6232 (2.7403)	Prec@1 39.062 (34.621)	Prec@5 68.750 (65.005)
Epoch: [27][5110/14090]	Time 0.746 (0.753)	Data 0.001 (0.002)	Loss 3.0117 (2.7404)	Prec@1 28.125 (34.617)	Prec@5 64.062 (65.003)
Epoch: [27][5120/14090]	Time 0.728 (0.753)	Data 0.001 (0.002)	Loss 2.7243 (2.7404)	Prec@1 38.281 (34.620)	Prec@5 60.938 (65.003)
Epoch: [27][5130/14090]	Time 0.728 (0.753)	Data 0.001 (0.002)	Loss 2.7806 (2.7403)	Prec@1 32.031 (34.622)	Prec@5 66.406 (65.005)
Epoch: [27][5140/14090]	Time 0.756 (0.753)	Data 0.001 (0.002)	Loss 2.6444 (2.7403)	Prec@1 39.062 (34.622)	Prec@5 67.969 (65.004)
Epoch: [27][5150/14090]	Time 0.738 (0.753)	Data 0.001 (0.002)	Loss 2.8977 (2.7405)	Prec@1 32.031 (34.616)	Prec@5 59.375 (65.002)
Epoch: [27][5160/14090]	Time 0.768 (0.753)	Data 0.001 (0.002)	Loss 2.8201 (2.7404)	Prec@1 32.812 (34.619)	Prec@5 61.719 (65.004)
Epoch: [27][5170/14090]	Time 0.752 (0.753)	Data 0.001 (0.002)	Loss 2.8654 (2.7404)	Prec@1 27.344 (34.616)	Prec@5 57.031 (65.004)
Epoch: [27][5180/14090]	Time 0.739 (0.753)	Data 0.001 (0.002)	Loss 2.6566 (2.7405)	Prec@1 35.938 (34.611)	Prec@5 68.750 (65.002)
Epoch: [27][5190/14090]	Time 0.746 (0.753)	Data 0.001 (0.002)	Loss 2.9660 (2.7404)	Prec@1 27.344 (34.614)	Prec@5 64.062 (65.007)
Epoch: [27][5200/14090]	Time 0.754 (0.753)	Data 0.001 (0.002)	Loss 2.5341 (2.7404)	Prec@1 35.938 (34.615)	Prec@5 71.875 (65.005)
Epoch: [27][5210/14090]	Time 0.739 (0.753)	Data 0.001 (0.002)	Loss 2.9364 (2.7406)	Prec@1 27.344 (34.612)	Prec@5 60.156 (65.000)
Epoch: [27][5220/14090]	Time 0.780 (0.753)	Data 0.001 (0.002)	Loss 2.6516 (2.7406)	Prec@1 39.844 (34.614)	Prec@5 65.625 (65.002)
Epoch: [27][5230/14090]	Time 0.737 (0.753)	Data 0.001 (0.002)	Loss 2.6882 (2.7409)	Prec@1 37.500 (34.611)	Prec@5 62.500 (64.996)
Epoch: [27][5240/14090]	Time 0.790 (0.753)	Data 0.001 (0.002)	Loss 3.0622 (2.7411)	Prec@1 29.688 (34.608)	Prec@5 58.594 (64.994)
Epoch: [27][5250/14090]	Time 0.740 (0.753)	Data 0.003 (0.002)	Loss 2.7466 (2.7412)	Prec@1 28.125 (34.607)	Prec@5 63.281 (64.991)
Epoch: [27][5260/14090]	Time 0.841 (0.753)	Data 0.001 (0.002)	Loss 2.7152 (2.7410)	Prec@1 37.500 (34.608)	Prec@5 66.406 (64.995)
Epoch: [27][5270/14090]	Time 0.757 (0.753)	Data 0.001 (0.002)	Loss 2.7660 (2.7410)	Prec@1 29.688 (34.605)	Prec@5 64.062 (64.994)
Epoch: [27][5280/14090]	Time 0.735 (0.753)	Data 0.001 (0.002)	Loss 2.6273 (2.7408)	Prec@1 44.531 (34.609)	Prec@5 66.406 (64.997)
Epoch: [27][5290/14090]	Time 0.771 (0.753)	Data 0.001 (0.002)	Loss 2.7742 (2.7407)	Prec@1 38.281 (34.611)	Prec@5 66.406 (64.999)
Epoch: [27][5300/14090]	Time 0.733 (0.753)	Data 0.001 (0.002)	Loss 2.7766 (2.7408)	Prec@1 33.594 (34.612)	Prec@5 64.844 (64.998)
Epoch: [27][5310/14090]	Time 0.737 (0.753)	Data 0.001 (0.002)	Loss 2.8244 (2.7409)	Prec@1 35.156 (34.609)	Prec@5 60.156 (64.995)
Epoch: [27][5320/14090]	Time 0.731 (0.753)	Data 0.001 (0.002)	Loss 2.3952 (2.7408)	Prec@1 35.938 (34.609)	Prec@5 72.656 (64.998)
Epoch: [27][5330/14090]	Time 0.784 (0.753)	Data 0.002 (0.002)	Loss 2.6879 (2.7410)	Prec@1 35.156 (34.606)	Prec@5 64.844 (64.994)
Epoch: [27][5340/14090]	Time 0.740 (0.753)	Data 0.001 (0.002)	Loss 2.6990 (2.7410)	Prec@1 32.812 (34.607)	Prec@5 64.844 (64.993)
Epoch: [27][5350/14090]	Time 0.749 (0.753)	Data 0.001 (0.002)	Loss 2.7010 (2.7409)	Prec@1 42.969 (34.612)	Prec@5 60.156 (64.994)
Epoch: [27][5360/14090]	Time 0.735 (0.753)	Data 0.001 (0.002)	Loss 2.7029 (2.7409)	Prec@1 37.500 (34.610)	Prec@5 66.406 (64.994)
Epoch: [27][5370/14090]	Time 0.732 (0.753)	Data 0.001 (0.002)	Loss 2.4067 (2.7408)	Prec@1 40.625 (34.610)	Prec@5 71.875 (64.996)
Epoch: [27][5380/14090]	Time 0.739 (0.753)	Data 0.001 (0.002)	Loss 2.8781 (2.7409)	Prec@1 30.469 (34.610)	Prec@5 59.375 (64.994)
Epoch: [27][5390/14090]	Time 0.750 (0.753)	Data 0.001 (0.002)	Loss 2.8025 (2.7409)	Prec@1 37.500 (34.609)	Prec@5 64.062 (64.993)
Epoch: [27][5400/14090]	Time 0.728 (0.753)	Data 0.001 (0.002)	Loss 2.9347 (2.7409)	Prec@1 31.250 (34.611)	Prec@5 59.375 (64.994)
Epoch: [27][5410/14090]	Time 0.735 (0.753)	Data 0.001 (0.002)	Loss 2.8066 (2.7411)	Prec@1 33.594 (34.608)	Prec@5 64.062 (64.994)
Epoch: [27][5420/14090]	Time 0.733 (0.753)	Data 0.001 (0.002)	Loss 2.9280 (2.7411)	Prec@1 29.688 (34.605)	Prec@5 60.156 (64.994)
Epoch: [27][5430/14090]	Time 0.767 (0.753)	Data 0.001 (0.002)	Loss 2.6751 (2.7411)	Prec@1 32.031 (34.606)	Prec@5 66.406 (64.994)
Epoch: [27][5440/14090]	Time 0.777 (0.753)	Data 0.001 (0.002)	Loss 2.7616 (2.7411)	Prec@1 32.812 (34.601)	Prec@5 64.062 (64.995)
Epoch: [27][5450/14090]	Time 0.741 (0.753)	Data 0.001 (0.002)	Loss 2.9436 (2.7411)	Prec@1 30.469 (34.598)	Prec@5 63.281 (64.994)
Epoch: [27][5460/14090]	Time 0.776 (0.753)	Data 0.003 (0.002)	Loss 2.7826 (2.7411)	Prec@1 32.031 (34.597)	Prec@5 64.844 (64.995)
Epoch: [27][5470/14090]	Time 0.769 (0.753)	Data 0.001 (0.002)	Loss 2.6840 (2.7410)	Prec@1 39.844 (34.600)	Prec@5 64.062 (64.994)
Epoch: [27][5480/14090]	Time 0.738 (0.753)	Data 0.001 (0.002)	Loss 2.8142 (2.7411)	Prec@1 33.594 (34.598)	Prec@5 67.969 (64.992)
Epoch: [27][5490/14090]	Time 0.730 (0.753)	Data 0.001 (0.002)	Loss 3.0272 (2.7412)	Prec@1 32.031 (34.599)	Prec@5 60.156 (64.988)
Epoch: [27][5500/14090]	Time 0.757 (0.753)	Data 0.001 (0.002)	Loss 2.7241 (2.7413)	Prec@1 32.812 (34.596)	Prec@5 64.844 (64.986)
Epoch: [27][5510/14090]	Time 0.736 (0.753)	Data 0.001 (0.002)	Loss 2.5686 (2.7413)	Prec@1 33.594 (34.596)	Prec@5 66.406 (64.983)
Epoch: [27][5520/14090]	Time 0.742 (0.753)	Data 0.001 (0.002)	Loss 2.9029 (2.7411)	Prec@1 30.469 (34.602)	Prec@5 63.281 (64.989)
Epoch: [27][5530/14090]	Time 0.718 (0.753)	Data 0.001 (0.002)	Loss 2.7049 (2.7412)	Prec@1 39.062 (34.601)	Prec@5 68.750 (64.988)
Epoch: [27][5540/14090]	Time 0.779 (0.753)	Data 0.001 (0.002)	Loss 3.0203 (2.7412)	Prec@1 30.469 (34.601)	Prec@5 62.500 (64.985)
Epoch: [27][5550/14090]	Time 0.748 (0.753)	Data 0.001 (0.002)	Loss 2.8564 (2.7413)	Prec@1 35.938 (34.599)	Prec@5 63.281 (64.984)
Epoch: [27][5560/14090]	Time 0.738 (0.753)	Data 0.001 (0.002)	Loss 2.7873 (2.7413)	Prec@1 33.594 (34.600)	Prec@5 64.844 (64.985)
Epoch: [27][5570/14090]	Time 0.745 (0.753)	Data 0.001 (0.002)	Loss 2.7452 (2.7412)	Prec@1 36.719 (34.599)	Prec@5 63.281 (64.984)
Epoch: [27][5580/14090]	Time 0.734 (0.753)	Data 0.001 (0.002)	Loss 2.8738 (2.7415)	Prec@1 30.469 (34.590)	Prec@5 64.062 (64.979)
Epoch: [27][5590/14090]	Time 0.771 (0.753)	Data 0.001 (0.002)	Loss 2.9564 (2.7414)	Prec@1 31.250 (34.593)	Prec@5 60.156 (64.982)
Epoch: [27][5600/14090]	Time 0.763 (0.753)	Data 0.001 (0.002)	Loss 2.7620 (2.7415)	Prec@1 34.375 (34.594)	Prec@5 62.500 (64.980)
Epoch: [27][5610/14090]	Time 0.733 (0.753)	Data 0.001 (0.002)	Loss 2.9852 (2.7415)	Prec@1 28.906 (34.590)	Prec@5 57.812 (64.981)
Epoch: [27][5620/14090]	Time 0.773 (0.753)	Data 0.001 (0.002)	Loss 2.9763 (2.7416)	Prec@1 34.375 (34.589)	Prec@5 61.719 (64.979)
Epoch: [27][5630/14090]	Time 0.773 (0.753)	Data 0.001 (0.002)	Loss 2.5672 (2.7416)	Prec@1 32.812 (34.588)	Prec@5 71.875 (64.979)
Epoch: [27][5640/14090]	Time 0.754 (0.753)	Data 0.001 (0.002)	Loss 2.8306 (2.7416)	Prec@1 35.938 (34.584)	Prec@5 66.406 (64.978)
Epoch: [27][5650/14090]	Time 0.742 (0.753)	Data 0.001 (0.002)	Loss 2.7601 (2.7415)	Prec@1 36.719 (34.588)	Prec@5 64.844 (64.981)
Epoch: [27][5660/14090]	Time 0.758 (0.753)	Data 0.001 (0.002)	Loss 2.6687 (2.7415)	Prec@1 36.719 (34.586)	Prec@5 71.875 (64.983)
Epoch: [27][5670/14090]	Time 0.759 (0.753)	Data 0.001 (0.002)	Loss 2.4991 (2.7416)	Prec@1 38.281 (34.585)	Prec@5 66.406 (64.979)
Epoch: [27][5680/14090]	Time 0.784 (0.753)	Data 0.001 (0.002)	Loss 2.5659 (2.7415)	Prec@1 41.406 (34.586)	Prec@5 66.406 (64.980)
Epoch: [27][5690/14090]	Time 0.759 (0.753)	Data 0.001 (0.002)	Loss 2.6866 (2.7416)	Prec@1 37.500 (34.585)	Prec@5 64.844 (64.978)
Epoch: [27][5700/14090]	Time 0.735 (0.753)	Data 0.001 (0.002)	Loss 2.5371 (2.7416)	Prec@1 38.281 (34.587)	Prec@5 72.656 (64.977)
Epoch: [27][5710/14090]	Time 0.732 (0.753)	Data 0.001 (0.002)	Loss 2.8743 (2.7417)	Prec@1 29.688 (34.587)	Prec@5 67.188 (64.976)
Epoch: [27][5720/14090]	Time 0.759 (0.753)	Data 0.001 (0.002)	Loss 2.6491 (2.7419)	Prec@1 36.719 (34.586)	Prec@5 64.062 (64.971)
Epoch: [27][5730/14090]	Time 0.728 (0.753)	Data 0.001 (0.002)	Loss 2.4060 (2.7418)	Prec@1 39.844 (34.587)	Prec@5 71.875 (64.973)
Epoch: [27][5740/14090]	Time 0.736 (0.753)	Data 0.001 (0.002)	Loss 2.8536 (2.7416)	Prec@1 30.469 (34.589)	Prec@5 61.719 (64.974)
Epoch: [27][5750/14090]	Time 0.772 (0.753)	Data 0.001 (0.002)	Loss 2.8246 (2.7416)	Prec@1 28.125 (34.586)	Prec@5 62.500 (64.974)
Epoch: [27][5760/14090]	Time 0.781 (0.753)	Data 0.001 (0.002)	Loss 2.9638 (2.7417)	Prec@1 35.938 (34.582)	Prec@5 60.938 (64.974)
Epoch: [27][5770/14090]	Time 0.761 (0.753)	Data 0.001 (0.002)	Loss 2.7870 (2.7418)	Prec@1 28.125 (34.577)	Prec@5 62.500 (64.970)
Epoch: [27][5780/14090]	Time 0.737 (0.753)	Data 0.001 (0.002)	Loss 2.9659 (2.7417)	Prec@1 32.812 (34.581)	Prec@5 60.938 (64.971)
Epoch: [27][5790/14090]	Time 0.762 (0.753)	Data 0.001 (0.002)	Loss 2.8214 (2.7418)	Prec@1 35.938 (34.580)	Prec@5 64.062 (64.969)
Epoch: [27][5800/14090]	Time 0.729 (0.753)	Data 0.002 (0.002)	Loss 2.7069 (2.7419)	Prec@1 36.719 (34.579)	Prec@5 63.281 (64.965)
Epoch: [27][5810/14090]	Time 0.729 (0.753)	Data 0.001 (0.002)	Loss 2.6858 (2.7418)	Prec@1 35.156 (34.582)	Prec@5 66.406 (64.968)
Epoch: [27][5820/14090]	Time 0.730 (0.753)	Data 0.001 (0.002)	Loss 2.6019 (2.7418)	Prec@1 32.031 (34.579)	Prec@5 68.750 (64.966)
Epoch: [27][5830/14090]	Time 0.740 (0.753)	Data 0.001 (0.002)	Loss 2.7603 (2.7420)	Prec@1 31.250 (34.576)	Prec@5 64.844 (64.964)
Epoch: [27][5840/14090]	Time 0.745 (0.753)	Data 0.001 (0.002)	Loss 2.7569 (2.7419)	Prec@1 35.938 (34.575)	Prec@5 65.625 (64.966)
Epoch: [27][5850/14090]	Time 0.761 (0.753)	Data 0.001 (0.002)	Loss 2.8694 (2.7419)	Prec@1 27.344 (34.576)	Prec@5 64.062 (64.966)
Epoch: [27][5860/14090]	Time 0.730 (0.753)	Data 0.001 (0.002)	Loss 2.7278 (2.7418)	Prec@1 37.500 (34.583)	Prec@5 64.062 (64.969)
Epoch: [27][5870/14090]	Time 0.759 (0.753)	Data 0.001 (0.002)	Loss 2.9306 (2.7419)	Prec@1 31.250 (34.581)	Prec@5 60.938 (64.967)
Epoch: [27][5880/14090]	Time 0.742 (0.753)	Data 0.001 (0.002)	Loss 2.7139 (2.7419)	Prec@1 32.812 (34.582)	Prec@5 68.750 (64.967)
Epoch: [27][5890/14090]	Time 0.795 (0.753)	Data 0.001 (0.002)	Loss 2.6965 (2.7418)	Prec@1 33.594 (34.583)	Prec@5 67.188 (64.969)
Epoch: [27][5900/14090]	Time 0.782 (0.753)	Data 0.001 (0.002)	Loss 2.8381 (2.7417)	Prec@1 34.375 (34.585)	Prec@5 65.625 (64.971)
Epoch: [27][5910/14090]	Time 0.737 (0.753)	Data 0.002 (0.002)	Loss 2.7532 (2.7416)	Prec@1 36.719 (34.588)	Prec@5 64.844 (64.972)
Epoch: [27][5920/14090]	Time 0.754 (0.753)	Data 0.001 (0.002)	Loss 2.8706 (2.7416)	Prec@1 35.156 (34.587)	Prec@5 62.500 (64.971)
Epoch: [27][5930/14090]	Time 0.742 (0.753)	Data 0.001 (0.002)	Loss 2.4669 (2.7414)	Prec@1 34.375 (34.590)	Prec@5 68.750 (64.974)
Epoch: [27][5940/14090]	Time 0.768 (0.753)	Data 0.001 (0.002)	Loss 2.4108 (2.7413)	Prec@1 39.844 (34.593)	Prec@5 71.875 (64.974)
Epoch: [27][5950/14090]	Time 0.752 (0.753)	Data 0.001 (0.002)	Loss 2.8863 (2.7413)	Prec@1 30.469 (34.594)	Prec@5 62.500 (64.974)
Epoch: [27][5960/14090]	Time 0.753 (0.753)	Data 0.001 (0.002)	Loss 2.9773 (2.7412)	Prec@1 28.906 (34.593)	Prec@5 61.719 (64.977)
Epoch: [27][5970/14090]	Time 0.766 (0.753)	Data 0.001 (0.002)	Loss 2.6153 (2.7410)	Prec@1 35.938 (34.598)	Prec@5 71.094 (64.980)
Epoch: [27][5980/14090]	Time 0.769 (0.753)	Data 0.001 (0.002)	Loss 2.9136 (2.7411)	Prec@1 38.281 (34.598)	Prec@5 60.156 (64.978)
Epoch: [27][5990/14090]	Time 0.743 (0.753)	Data 0.001 (0.002)	Loss 2.5771 (2.7412)	Prec@1 38.281 (34.596)	Prec@5 65.625 (64.977)
Epoch: [27][6000/14090]	Time 0.754 (0.753)	Data 0.001 (0.002)	Loss 2.9197 (2.7412)	Prec@1 28.906 (34.597)	Prec@5 59.375 (64.976)
Epoch: [27][6010/14090]	Time 0.749 (0.753)	Data 0.001 (0.002)	Loss 2.5825 (2.7412)	Prec@1 37.500 (34.595)	Prec@5 70.312 (64.977)
Epoch: [27][6020/14090]	Time 0.732 (0.753)	Data 0.001 (0.002)	Loss 2.7046 (2.7412)	Prec@1 35.156 (34.595)	Prec@5 68.750 (64.978)
Epoch: [27][6030/14090]	Time 0.749 (0.753)	Data 0.001 (0.002)	Loss 2.7264 (2.7412)	Prec@1 36.719 (34.594)	Prec@5 64.844 (64.977)
Epoch: [27][6040/14090]	Time 0.742 (0.753)	Data 0.001 (0.002)	Loss 2.7894 (2.7412)	Prec@1 34.375 (34.595)	Prec@5 64.062 (64.976)
Epoch: [27][6050/14090]	Time 0.779 (0.753)	Data 0.001 (0.002)	Loss 2.6475 (2.7412)	Prec@1 31.250 (34.593)	Prec@5 68.750 (64.976)
Epoch: [27][6060/14090]	Time 0.745 (0.753)	Data 0.001 (0.002)	Loss 2.9528 (2.7413)	Prec@1 28.125 (34.590)	Prec@5 64.062 (64.975)
Epoch: [27][6070/14090]	Time 0.732 (0.753)	Data 0.001 (0.002)	Loss 2.7121 (2.7413)	Prec@1 32.031 (34.589)	Prec@5 62.500 (64.975)
Epoch: [27][6080/14090]	Time 0.751 (0.753)	Data 0.001 (0.002)	Loss 2.6229 (2.7413)	Prec@1 36.719 (34.585)	Prec@5 66.406 (64.975)
Epoch: [27][6090/14090]	Time 0.764 (0.753)	Data 0.001 (0.002)	Loss 2.5920 (2.7413)	Prec@1 39.844 (34.586)	Prec@5 68.750 (64.976)
Epoch: [27][6100/14090]	Time 0.727 (0.753)	Data 0.001 (0.002)	Loss 2.9819 (2.7413)	Prec@1 30.469 (34.585)	Prec@5 60.156 (64.976)
Epoch: [27][6110/14090]	Time 0.754 (0.753)	Data 0.001 (0.002)	Loss 2.5264 (2.7412)	Prec@1 38.281 (34.586)	Prec@5 67.188 (64.978)
Epoch: [27][6120/14090]	Time 0.742 (0.753)	Data 0.001 (0.002)	Loss 3.0841 (2.7413)	Prec@1 30.469 (34.585)	Prec@5 58.594 (64.976)
Epoch: [27][6130/14090]	Time 0.758 (0.753)	Data 0.001 (0.002)	Loss 2.4784 (2.7414)	Prec@1 39.844 (34.584)	Prec@5 71.875 (64.974)
Epoch: [27][6140/14090]	Time 0.752 (0.753)	Data 0.001 (0.002)	Loss 2.7692 (2.7414)	Prec@1 31.250 (34.585)	Prec@5 64.844 (64.975)
Epoch: [27][6150/14090]	Time 0.751 (0.753)	Data 0.001 (0.002)	Loss 2.6702 (2.7413)	Prec@1 34.375 (34.586)	Prec@5 65.625 (64.975)
Epoch: [27][6160/14090]	Time 0.773 (0.753)	Data 0.001 (0.002)	Loss 2.7258 (2.7413)	Prec@1 39.062 (34.588)	Prec@5 66.406 (64.975)
Epoch: [27][6170/14090]	Time 0.820 (0.753)	Data 0.001 (0.002)	Loss 3.0427 (2.7414)	Prec@1 27.344 (34.587)	Prec@5 60.156 (64.972)
Epoch: [27][6180/14090]	Time 0.743 (0.753)	Data 0.001 (0.002)	Loss 2.8489 (2.7414)	Prec@1 35.156 (34.588)	Prec@5 62.500 (64.969)
Epoch: [27][6190/14090]	Time 0.739 (0.753)	Data 0.001 (0.002)	Loss 2.6703 (2.7414)	Prec@1 34.375 (34.590)	Prec@5 65.625 (64.973)
Epoch: [27][6200/14090]	Time 0.720 (0.753)	Data 0.001 (0.002)	Loss 2.5554 (2.7414)	Prec@1 38.281 (34.592)	Prec@5 72.656 (64.975)
Epoch: [27][6210/14090]	Time 0.724 (0.753)	Data 0.001 (0.002)	Loss 2.9999 (2.7413)	Prec@1 25.000 (34.593)	Prec@5 58.594 (64.976)
Epoch: [27][6220/14090]	Time 0.736 (0.753)	Data 0.001 (0.002)	Loss 2.8948 (2.7415)	Prec@1 30.469 (34.589)	Prec@5 60.156 (64.972)
Epoch: [27][6230/14090]	Time 0.777 (0.753)	Data 0.001 (0.002)	Loss 2.8358 (2.7415)	Prec@1 33.594 (34.587)	Prec@5 61.719 (64.970)
Epoch: [27][6240/14090]	Time 0.734 (0.753)	Data 0.001 (0.002)	Loss 2.9497 (2.7415)	Prec@1 30.469 (34.587)	Prec@5 59.375 (64.969)
Epoch: [27][6250/14090]	Time 0.751 (0.753)	Data 0.001 (0.002)	Loss 2.8014 (2.7416)	Prec@1 36.719 (34.587)	Prec@5 64.844 (64.968)
Epoch: [27][6260/14090]	Time 0.727 (0.753)	Data 0.001 (0.002)	Loss 2.6452 (2.7417)	Prec@1 35.156 (34.585)	Prec@5 62.500 (64.966)
Epoch: [27][6270/14090]	Time 0.751 (0.753)	Data 0.001 (0.002)	Loss 2.6998 (2.7416)	Prec@1 39.062 (34.588)	Prec@5 64.062 (64.964)
Epoch: [27][6280/14090]	Time 0.740 (0.753)	Data 0.001 (0.002)	Loss 2.7706 (2.7416)	Prec@1 35.156 (34.589)	Prec@5 64.062 (64.964)
Epoch: [27][6290/14090]	Time 0.744 (0.753)	Data 0.001 (0.002)	Loss 2.5261 (2.7414)	Prec@1 40.625 (34.594)	Prec@5 71.094 (64.969)
Epoch: [27][6300/14090]	Time 0.747 (0.753)	Data 0.001 (0.002)	Loss 2.5582 (2.7414)	Prec@1 43.750 (34.594)	Prec@5 71.094 (64.969)
Epoch: [27][6310/14090]	Time 0.771 (0.753)	Data 0.001 (0.002)	Loss 2.9394 (2.7416)	Prec@1 23.438 (34.588)	Prec@5 59.375 (64.964)
Epoch: [27][6320/14090]	Time 0.736 (0.753)	Data 0.001 (0.002)	Loss 2.9975 (2.7417)	Prec@1 35.938 (34.587)	Prec@5 63.281 (64.960)
Epoch: [27][6330/14090]	Time 0.774 (0.753)	Data 0.001 (0.002)	Loss 2.6078 (2.7417)	Prec@1 35.938 (34.590)	Prec@5 64.844 (64.961)
Epoch: [27][6340/14090]	Time 0.737 (0.753)	Data 0.001 (0.002)	Loss 3.0303 (2.7416)	Prec@1 27.344 (34.590)	Prec@5 62.500 (64.963)
Epoch: [27][6350/14090]	Time 0.742 (0.753)	Data 0.001 (0.002)	Loss 2.7079 (2.7415)	Prec@1 32.031 (34.592)	Prec@5 67.188 (64.966)
Epoch: [27][6360/14090]	Time 0.761 (0.753)	Data 0.001 (0.002)	Loss 2.5570 (2.7414)	Prec@1 34.375 (34.594)	Prec@5 71.094 (64.966)
Epoch: [27][6370/14090]	Time 0.739 (0.753)	Data 0.001 (0.002)	Loss 2.8363 (2.7414)	Prec@1 35.938 (34.595)	Prec@5 62.500 (64.966)
Epoch: [27][6380/14090]	Time 0.746 (0.753)	Data 0.001 (0.002)	Loss 2.6808 (2.7416)	Prec@1 38.281 (34.591)	Prec@5 64.062 (64.960)
Epoch: [27][6390/14090]	Time 0.770 (0.753)	Data 0.001 (0.002)	Loss 2.9606 (2.7415)	Prec@1 29.688 (34.592)	Prec@5 57.031 (64.962)
Epoch: [27][6400/14090]	Time 0.736 (0.753)	Data 0.001 (0.002)	Loss 2.5360 (2.7414)	Prec@1 41.406 (34.596)	Prec@5 68.750 (64.963)
Epoch: [27][6410/14090]	Time 0.784 (0.753)	Data 0.002 (0.002)	Loss 2.7464 (2.7414)	Prec@1 29.688 (34.595)	Prec@5 66.406 (64.963)
Epoch: [27][6420/14090]	Time 0.753 (0.753)	Data 0.001 (0.002)	Loss 2.9858 (2.7416)	Prec@1 35.156 (34.594)	Prec@5 56.250 (64.960)
Epoch: [27][6430/14090]	Time 0.729 (0.753)	Data 0.001 (0.002)	Loss 2.9596 (2.7415)	Prec@1 34.375 (34.595)	Prec@5 61.719 (64.962)
Epoch: [27][6440/14090]	Time 0.777 (0.753)	Data 0.002 (0.002)	Loss 2.5302 (2.7414)	Prec@1 37.500 (34.596)	Prec@5 71.875 (64.966)
Epoch: [27][6450/14090]	Time 0.826 (0.753)	Data 0.001 (0.002)	Loss 2.6600 (2.7414)	Prec@1 35.156 (34.594)	Prec@5 67.969 (64.966)
Epoch: [27][6460/14090]	Time 0.750 (0.753)	Data 0.001 (0.002)	Loss 2.7800 (2.7414)	Prec@1 36.719 (34.594)	Prec@5 62.500 (64.966)
Epoch: [27][6470/14090]	Time 0.758 (0.753)	Data 0.001 (0.002)	Loss 2.7679 (2.7414)	Prec@1 35.156 (34.596)	Prec@5 65.625 (64.969)
Epoch: [27][6480/14090]	Time 0.765 (0.753)	Data 0.001 (0.002)	Loss 2.3620 (2.7413)	Prec@1 41.406 (34.601)	Prec@5 71.094 (64.970)
Epoch: [27][6490/14090]	Time 0.773 (0.753)	Data 0.001 (0.002)	Loss 2.8971 (2.7413)	Prec@1 31.250 (34.601)	Prec@5 62.500 (64.969)
Epoch: [27][6500/14090]	Time 0.755 (0.753)	Data 0.001 (0.002)	Loss 2.6155 (2.7414)	Prec@1 41.406 (34.603)	Prec@5 67.969 (64.969)
Epoch: [27][6510/14090]	Time 0.751 (0.753)	Data 0.001 (0.002)	Loss 2.5220 (2.7414)	Prec@1 35.156 (34.605)	Prec@5 70.312 (64.970)
Epoch: [27][6520/14090]	Time 0.748 (0.753)	Data 0.001 (0.002)	Loss 2.9529 (2.7414)	Prec@1 33.594 (34.603)	Prec@5 64.062 (64.969)
Epoch: [27][6530/14090]	Time 0.742 (0.753)	Data 0.001 (0.002)	Loss 2.7972 (2.7413)	Prec@1 34.375 (34.606)	Prec@5 60.156 (64.968)
Epoch: [27][6540/14090]	Time 0.747 (0.753)	Data 0.001 (0.002)	Loss 2.9491 (2.7414)	Prec@1 28.906 (34.602)	Prec@5 57.812 (64.962)
Epoch: [27][6550/14090]	Time 0.730 (0.753)	Data 0.001 (0.002)	Loss 2.4911 (2.7414)	Prec@1 39.062 (34.605)	Prec@5 71.094 (64.961)
Epoch: [27][6560/14090]	Time 0.805 (0.753)	Data 0.001 (0.002)	Loss 2.9073 (2.7413)	Prec@1 28.906 (34.606)	Prec@5 62.500 (64.962)
Epoch: [27][6570/14090]	Time 0.752 (0.753)	Data 0.001 (0.002)	Loss 2.7008 (2.7415)	Prec@1 33.594 (34.606)	Prec@5 66.406 (64.961)
Epoch: [27][6580/14090]	Time 0.725 (0.753)	Data 0.001 (0.002)	Loss 2.8982 (2.7415)	Prec@1 32.031 (34.605)	Prec@5 60.156 (64.960)
Epoch: [27][6590/14090]	Time 0.752 (0.753)	Data 0.001 (0.002)	Loss 2.8010 (2.7415)	Prec@1 32.812 (34.605)	Prec@5 64.844 (64.959)
Epoch: [27][6600/14090]	Time 0.766 (0.753)	Data 0.001 (0.002)	Loss 2.6338 (2.7414)	Prec@1 34.375 (34.605)	Prec@5 68.750 (64.961)
Epoch: [27][6610/14090]	Time 0.751 (0.753)	Data 0.001 (0.002)	Loss 2.7709 (2.7413)	Prec@1 40.625 (34.607)	Prec@5 68.750 (64.962)
Epoch: [27][6620/14090]	Time 0.755 (0.753)	Data 0.001 (0.002)	Loss 2.7838 (2.7415)	Prec@1 30.469 (34.607)	Prec@5 67.188 (64.958)
Epoch: [27][6630/14090]	Time 0.751 (0.753)	Data 0.001 (0.002)	Loss 2.8474 (2.7414)	Prec@1 33.594 (34.608)	Prec@5 63.281 (64.959)
Epoch: [27][6640/14090]	Time 0.747 (0.753)	Data 0.001 (0.002)	Loss 3.0457 (2.7414)	Prec@1 29.688 (34.607)	Prec@5 57.031 (64.960)
Epoch: [27][6650/14090]	Time 0.761 (0.753)	Data 0.001 (0.002)	Loss 2.9695 (2.7415)	Prec@1 33.594 (34.607)	Prec@5 56.250 (64.957)
Epoch: [27][6660/14090]	Time 0.771 (0.753)	Data 0.001 (0.002)	Loss 2.9629 (2.7415)	Prec@1 30.469 (34.604)	Prec@5 60.156 (64.958)
Epoch: [27][6670/14090]	Time 0.728 (0.753)	Data 0.001 (0.002)	Loss 2.9058 (2.7415)	Prec@1 34.375 (34.603)	Prec@5 59.375 (64.960)
Epoch: [27][6680/14090]	Time 0.770 (0.753)	Data 0.001 (0.002)	Loss 2.6366 (2.7414)	Prec@1 39.062 (34.603)	Prec@5 67.188 (64.961)
Epoch: [27][6690/14090]	Time 0.769 (0.753)	Data 0.001 (0.002)	Loss 2.8550 (2.7415)	Prec@1 30.469 (34.603)	Prec@5 57.812 (64.959)
Epoch: [27][6700/14090]	Time 0.731 (0.753)	Data 0.001 (0.002)	Loss 2.5446 (2.7415)	Prec@1 38.281 (34.604)	Prec@5 65.625 (64.959)
Epoch: [27][6710/14090]	Time 0.748 (0.753)	Data 0.001 (0.002)	Loss 2.7666 (2.7415)	Prec@1 35.156 (34.602)	Prec@5 59.375 (64.956)
Epoch: [27][6720/14090]	Time 0.743 (0.753)	Data 0.001 (0.002)	Loss 2.5543 (2.7415)	Prec@1 42.969 (34.602)	Prec@5 71.875 (64.955)
Epoch: [27][6730/14090]	Time 0.747 (0.753)	Data 0.001 (0.002)	Loss 2.5564 (2.7416)	Prec@1 41.406 (34.600)	Prec@5 68.750 (64.952)
Epoch: [27][6740/14090]	Time 0.728 (0.753)	Data 0.001 (0.002)	Loss 2.7530 (2.7416)	Prec@1 33.594 (34.600)	Prec@5 66.406 (64.952)
Epoch: [27][6750/14090]	Time 0.771 (0.753)	Data 0.001 (0.002)	Loss 3.1505 (2.7416)	Prec@1 28.125 (34.599)	Prec@5 57.812 (64.949)
Epoch: [27][6760/14090]	Time 0.764 (0.753)	Data 0.001 (0.002)	Loss 2.3891 (2.7416)	Prec@1 39.844 (34.598)	Prec@5 68.750 (64.951)
Epoch: [27][6770/14090]	Time 0.751 (0.753)	Data 0.001 (0.002)	Loss 2.4330 (2.7415)	Prec@1 38.281 (34.598)	Prec@5 74.219 (64.952)
Epoch: [27][6780/14090]	Time 0.734 (0.753)	Data 0.001 (0.002)	Loss 2.7957 (2.7415)	Prec@1 28.125 (34.594)	Prec@5 64.062 (64.951)
Epoch: [27][6790/14090]	Time 0.744 (0.753)	Data 0.001 (0.002)	Loss 2.8404 (2.7416)	Prec@1 32.031 (34.591)	Prec@5 57.812 (64.951)
Epoch: [27][6800/14090]	Time 0.734 (0.753)	Data 0.001 (0.002)	Loss 2.7200 (2.7416)	Prec@1 35.156 (34.591)	Prec@5 62.500 (64.952)
Epoch: [27][6810/14090]	Time 0.740 (0.753)	Data 0.001 (0.002)	Loss 2.6410 (2.7416)	Prec@1 34.375 (34.588)	Prec@5 69.531 (64.952)
Epoch: [27][6820/14090]	Time 0.743 (0.753)	Data 0.001 (0.002)	Loss 2.6488 (2.7417)	Prec@1 35.938 (34.587)	Prec@5 67.188 (64.951)
Epoch: [27][6830/14090]	Time 0.732 (0.753)	Data 0.001 (0.002)	Loss 2.9601 (2.7417)	Prec@1 30.469 (34.586)	Prec@5 64.062 (64.948)
Epoch: [27][6840/14090]	Time 0.771 (0.753)	Data 0.001 (0.001)	Loss 2.9796 (2.7418)	Prec@1 28.906 (34.587)	Prec@5 57.031 (64.946)
Epoch: [27][6850/14090]	Time 0.736 (0.753)	Data 0.001 (0.001)	Loss 2.5709 (2.7417)	Prec@1 39.062 (34.588)	Prec@5 67.188 (64.946)
Epoch: [27][6860/14090]	Time 0.732 (0.753)	Data 0.001 (0.001)	Loss 2.5151 (2.7417)	Prec@1 37.500 (34.589)	Prec@5 68.750 (64.948)
Epoch: [27][6870/14090]	Time 0.739 (0.753)	Data 0.001 (0.001)	Loss 2.8297 (2.7417)	Prec@1 33.594 (34.588)	Prec@5 66.406 (64.948)
Epoch: [27][6880/14090]	Time 0.758 (0.753)	Data 0.001 (0.001)	Loss 2.7238 (2.7416)	Prec@1 29.688 (34.588)	Prec@5 62.500 (64.949)
Epoch: [27][6890/14090]	Time 0.732 (0.753)	Data 0.001 (0.001)	Loss 2.8215 (2.7415)	Prec@1 36.719 (34.591)	Prec@5 59.375 (64.951)
Epoch: [27][6900/14090]	Time 0.757 (0.753)	Data 0.001 (0.001)	Loss 2.7483 (2.7415)	Prec@1 32.812 (34.592)	Prec@5 67.969 (64.954)
Epoch: [27][6910/14090]	Time 0.731 (0.753)	Data 0.001 (0.001)	Loss 2.9344 (2.7415)	Prec@1 29.688 (34.590)	Prec@5 60.938 (64.951)
Epoch: [27][6920/14090]	Time 0.767 (0.753)	Data 0.001 (0.001)	Loss 2.6842 (2.7416)	Prec@1 32.812 (34.588)	Prec@5 67.969 (64.951)
Epoch: [27][6930/14090]	Time 0.740 (0.753)	Data 0.001 (0.001)	Loss 2.7501 (2.7415)	Prec@1 36.719 (34.590)	Prec@5 59.375 (64.953)
Epoch: [27][6940/14090]	Time 0.734 (0.753)	Data 0.001 (0.001)	Loss 2.7842 (2.7414)	Prec@1 31.250 (34.590)	Prec@5 60.938 (64.954)
Epoch: [27][6950/14090]	Time 0.747 (0.753)	Data 0.001 (0.001)	Loss 2.7073 (2.7413)	Prec@1 25.781 (34.591)	Prec@5 67.188 (64.958)
Epoch: [27][6960/14090]	Time 0.754 (0.753)	Data 0.001 (0.001)	Loss 2.9080 (2.7412)	Prec@1 31.250 (34.594)	Prec@5 60.156 (64.958)
Epoch: [27][6970/14090]	Time 0.738 (0.753)	Data 0.001 (0.001)	Loss 2.8488 (2.7412)	Prec@1 38.281 (34.595)	Prec@5 60.156 (64.957)
Epoch: [27][6980/14090]	Time 0.761 (0.753)	Data 0.001 (0.001)	Loss 2.4970 (2.7411)	Prec@1 35.156 (34.596)	Prec@5 72.656 (64.958)
Epoch: [27][6990/14090]	Time 0.733 (0.753)	Data 0.001 (0.001)	Loss 2.5949 (2.7412)	Prec@1 37.500 (34.597)	Prec@5 65.625 (64.959)
Epoch: [27][7000/14090]	Time 0.740 (0.753)	Data 0.001 (0.001)	Loss 2.7442 (2.7413)	Prec@1 33.594 (34.597)	Prec@5 64.062 (64.958)
Epoch: [27][7010/14090]	Time 0.763 (0.753)	Data 0.001 (0.001)	Loss 2.5848 (2.7414)	Prec@1 38.281 (34.594)	Prec@5 69.531 (64.958)
Epoch: [27][7020/14090]	Time 0.783 (0.753)	Data 0.001 (0.001)	Loss 2.9983 (2.7414)	Prec@1 34.375 (34.595)	Prec@5 58.594 (64.958)
Epoch: [27][7030/14090]	Time 0.729 (0.753)	Data 0.001 (0.001)	Loss 2.8882 (2.7415)	Prec@1 33.594 (34.594)	Prec@5 60.938 (64.955)
Epoch: [27][7040/14090]	Time 0.733 (0.753)	Data 0.001 (0.001)	Loss 2.6529 (2.7414)	Prec@1 32.812 (34.594)	Prec@5 69.531 (64.960)
Epoch: [27][7050/14090]	Time 0.756 (0.753)	Data 0.001 (0.001)	Loss 2.6574 (2.7414)	Prec@1 32.812 (34.592)	Prec@5 64.062 (64.959)
Epoch: [27][7060/14090]	Time 0.757 (0.753)	Data 0.001 (0.001)	Loss 2.6296 (2.7413)	Prec@1 38.281 (34.594)	Prec@5 67.969 (64.960)
Epoch: [27][7070/14090]	Time 0.774 (0.753)	Data 0.001 (0.001)	Loss 2.9130 (2.7413)	Prec@1 30.469 (34.594)	Prec@5 63.281 (64.959)
Epoch: [27][7080/14090]	Time 0.750 (0.753)	Data 0.001 (0.001)	Loss 3.0048 (2.7412)	Prec@1 32.031 (34.597)	Prec@5 59.375 (64.962)
Epoch: [27][7090/14090]	Time 0.739 (0.753)	Data 0.001 (0.001)	Loss 2.5924 (2.7411)	Prec@1 36.719 (34.596)	Prec@5 67.969 (64.963)
Epoch: [27][7100/14090]	Time 0.752 (0.753)	Data 0.001 (0.001)	Loss 3.1211 (2.7412)	Prec@1 28.125 (34.594)	Prec@5 60.938 (64.963)
Epoch: [27][7110/14090]	Time 0.739 (0.753)	Data 0.001 (0.001)	Loss 2.5094 (2.7412)	Prec@1 43.750 (34.594)	Prec@5 68.750 (64.964)
Epoch: [27][7120/14090]	Time 0.747 (0.753)	Data 0.001 (0.001)	Loss 2.8667 (2.7412)	Prec@1 32.812 (34.594)	Prec@5 62.500 (64.964)
Epoch: [27][7130/14090]	Time 0.747 (0.753)	Data 0.001 (0.001)	Loss 2.7925 (2.7414)	Prec@1 32.031 (34.590)	Prec@5 67.188 (64.964)
Epoch: [27][7140/14090]	Time 0.731 (0.753)	Data 0.001 (0.001)	Loss 2.6446 (2.7414)	Prec@1 35.938 (34.588)	Prec@5 68.750 (64.962)
Epoch: [27][7150/14090]	Time 0.748 (0.753)	Data 0.001 (0.001)	Loss 2.6644 (2.7414)	Prec@1 32.031 (34.587)	Prec@5 72.656 (64.965)
Epoch: [27][7160/14090]	Time 0.728 (0.753)	Data 0.001 (0.001)	Loss 2.7259 (2.7415)	Prec@1 35.938 (34.584)	Prec@5 64.844 (64.962)
Epoch: [27][7170/14090]	Time 0.737 (0.753)	Data 0.001 (0.001)	Loss 2.7518 (2.7415)	Prec@1 39.062 (34.585)	Prec@5 65.625 (64.963)
Epoch: [27][7180/14090]	Time 0.768 (0.753)	Data 0.001 (0.001)	Loss 2.6050 (2.7415)	Prec@1 32.031 (34.582)	Prec@5 67.969 (64.963)
Epoch: [27][7190/14090]	Time 0.731 (0.753)	Data 0.001 (0.001)	Loss 2.7577 (2.7414)	Prec@1 32.031 (34.585)	Prec@5 64.844 (64.964)
Epoch: [27][7200/14090]	Time 0.753 (0.753)	Data 0.001 (0.001)	Loss 2.6241 (2.7413)	Prec@1 38.281 (34.585)	Prec@5 61.719 (64.966)
Epoch: [27][7210/14090]	Time 0.737 (0.753)	Data 0.001 (0.001)	Loss 3.1216 (2.7413)	Prec@1 25.000 (34.585)	Prec@5 60.938 (64.967)
Epoch: [27][7220/14090]	Time 0.747 (0.753)	Data 0.001 (0.001)	Loss 2.8907 (2.7414)	Prec@1 39.062 (34.582)	Prec@5 60.938 (64.965)
Epoch: [27][7230/14090]	Time 0.727 (0.753)	Data 0.001 (0.001)	Loss 2.7617 (2.7413)	Prec@1 37.500 (34.584)	Prec@5 61.719 (64.962)
Epoch: [27][7240/14090]	Time 0.749 (0.753)	Data 0.001 (0.001)	Loss 2.6916 (2.7413)	Prec@1 38.281 (34.582)	Prec@5 68.750 (64.962)
Epoch: [27][7250/14090]	Time 0.742 (0.753)	Data 0.002 (0.001)	Loss 2.9377 (2.7414)	Prec@1 27.344 (34.583)	Prec@5 57.812 (64.960)
Epoch: [27][7260/14090]	Time 0.730 (0.753)	Data 0.001 (0.001)	Loss 2.9580 (2.7415)	Prec@1 26.562 (34.581)	Prec@5 60.156 (64.959)
Epoch: [27][7270/14090]	Time 0.770 (0.753)	Data 0.001 (0.001)	Loss 2.6829 (2.7414)	Prec@1 37.500 (34.582)	Prec@5 64.844 (64.962)
Epoch: [27][7280/14090]	Time 0.759 (0.753)	Data 0.001 (0.001)	Loss 2.6463 (2.7413)	Prec@1 34.375 (34.581)	Prec@5 70.312 (64.966)
Epoch: [27][7290/14090]	Time 0.769 (0.753)	Data 0.001 (0.001)	Loss 3.0007 (2.7414)	Prec@1 29.688 (34.581)	Prec@5 61.719 (64.965)
Epoch: [27][7300/14090]	Time 0.744 (0.753)	Data 0.001 (0.001)	Loss 2.6596 (2.7414)	Prec@1 42.188 (34.583)	Prec@5 70.312 (64.963)
Epoch: [27][7310/14090]	Time 0.741 (0.753)	Data 0.001 (0.001)	Loss 3.1359 (2.7413)	Prec@1 36.719 (34.583)	Prec@5 55.469 (64.964)
Epoch: [27][7320/14090]	Time 0.773 (0.753)	Data 0.001 (0.001)	Loss 3.0759 (2.7414)	Prec@1 25.000 (34.580)	Prec@5 57.031 (64.963)
Epoch: [27][7330/14090]	Time 0.754 (0.753)	Data 0.001 (0.001)	Loss 2.6325 (2.7414)	Prec@1 35.156 (34.580)	Prec@5 67.188 (64.962)
Epoch: [27][7340/14090]	Time 0.758 (0.753)	Data 0.001 (0.001)	Loss 2.6287 (2.7413)	Prec@1 33.594 (34.581)	Prec@5 64.062 (64.963)
Epoch: [27][7350/14090]	Time 0.745 (0.753)	Data 0.001 (0.001)	Loss 2.8327 (2.7413)	Prec@1 36.719 (34.581)	Prec@5 60.938 (64.964)
Epoch: [27][7360/14090]	Time 0.739 (0.753)	Data 0.001 (0.001)	Loss 2.7951 (2.7412)	Prec@1 31.250 (34.582)	Prec@5 63.281 (64.964)
Epoch: [27][7370/14090]	Time 0.767 (0.753)	Data 0.001 (0.001)	Loss 2.8753 (2.7412)	Prec@1 32.031 (34.583)	Prec@5 61.719 (64.963)
Epoch: [27][7380/14090]	Time 0.761 (0.753)	Data 0.001 (0.001)	Loss 2.8402 (2.7412)	Prec@1 35.156 (34.581)	Prec@5 58.594 (64.962)
Epoch: [27][7390/14090]	Time 0.736 (0.753)	Data 0.001 (0.001)	Loss 2.7862 (2.7413)	Prec@1 28.906 (34.579)	Prec@5 64.844 (64.961)
Epoch: [27][7400/14090]	Time 0.753 (0.753)	Data 0.001 (0.001)	Loss 2.6569 (2.7414)	Prec@1 38.281 (34.576)	Prec@5 60.156 (64.959)
Epoch: [27][7410/14090]	Time 0.723 (0.753)	Data 0.001 (0.001)	Loss 2.7046 (2.7413)	Prec@1 32.812 (34.576)	Prec@5 69.531 (64.962)
Epoch: [27][7420/14090]	Time 0.753 (0.753)	Data 0.001 (0.001)	Loss 2.7954 (2.7413)	Prec@1 37.500 (34.577)	Prec@5 66.406 (64.963)
Epoch: [27][7430/14090]	Time 0.777 (0.753)	Data 0.001 (0.001)	Loss 2.9792 (2.7414)	Prec@1 30.469 (34.573)	Prec@5 63.281 (64.961)
Epoch: [27][7440/14090]	Time 0.733 (0.753)	Data 0.001 (0.001)	Loss 2.5392 (2.7413)	Prec@1 37.500 (34.573)	Prec@5 68.750 (64.963)
Epoch: [27][7450/14090]	Time 0.735 (0.753)	Data 0.001 (0.001)	Loss 2.6889 (2.7413)	Prec@1 34.375 (34.575)	Prec@5 68.750 (64.965)
Epoch: [27][7460/14090]	Time 0.751 (0.753)	Data 0.001 (0.001)	Loss 2.8038 (2.7414)	Prec@1 36.719 (34.573)	Prec@5 64.844 (64.964)
Epoch: [27][7470/14090]	Time 0.746 (0.753)	Data 0.001 (0.001)	Loss 2.9027 (2.7415)	Prec@1 35.938 (34.571)	Prec@5 60.156 (64.962)
Epoch: [27][7480/14090]	Time 0.749 (0.753)	Data 0.003 (0.001)	Loss 2.7464 (2.7415)	Prec@1 35.156 (34.572)	Prec@5 62.500 (64.963)
Epoch: [27][7490/14090]	Time 0.750 (0.753)	Data 0.001 (0.001)	Loss 2.8509 (2.7416)	Prec@1 32.812 (34.570)	Prec@5 63.281 (64.962)
Epoch: [27][7500/14090]	Time 0.757 (0.753)	Data 0.001 (0.001)	Loss 2.7851 (2.7416)	Prec@1 34.375 (34.569)	Prec@5 68.750 (64.963)
Epoch: [27][7510/14090]	Time 0.745 (0.753)	Data 0.001 (0.001)	Loss 2.6722 (2.7416)	Prec@1 35.156 (34.567)	Prec@5 65.625 (64.963)
Epoch: [27][7520/14090]	Time 0.766 (0.753)	Data 0.001 (0.001)	Loss 2.8107 (2.7416)	Prec@1 32.031 (34.565)	Prec@5 64.062 (64.964)
Epoch: [27][7530/14090]	Time 0.728 (0.753)	Data 0.001 (0.001)	Loss 2.6613 (2.7418)	Prec@1 36.719 (34.562)	Prec@5 67.188 (64.962)
Epoch: [27][7540/14090]	Time 0.735 (0.753)	Data 0.001 (0.001)	Loss 2.7140 (2.7417)	Prec@1 35.938 (34.561)	Prec@5 62.500 (64.963)
Epoch: [27][7550/14090]	Time 0.768 (0.753)	Data 0.001 (0.001)	Loss 2.9082 (2.7418)	Prec@1 30.469 (34.560)	Prec@5 64.062 (64.963)
Epoch: [27][7560/14090]	Time 0.775 (0.753)	Data 0.001 (0.001)	Loss 2.4418 (2.7418)	Prec@1 44.531 (34.563)	Prec@5 66.406 (64.961)
Epoch: [27][7570/14090]	Time 0.739 (0.753)	Data 0.001 (0.001)	Loss 2.8729 (2.7419)	Prec@1 30.469 (34.561)	Prec@5 60.156 (64.955)
Epoch: [27][7580/14090]	Time 0.748 (0.753)	Data 0.001 (0.001)	Loss 2.3779 (2.7419)	Prec@1 38.281 (34.560)	Prec@5 69.531 (64.954)
Epoch: [27][7590/14090]	Time 0.736 (0.753)	Data 0.001 (0.001)	Loss 2.5288 (2.7420)	Prec@1 36.719 (34.557)	Prec@5 66.406 (64.953)
Epoch: [27][7600/14090]	Time 0.780 (0.753)	Data 0.001 (0.001)	Loss 2.8590 (2.7419)	Prec@1 32.812 (34.556)	Prec@5 63.281 (64.953)
Epoch: [27][7610/14090]	Time 0.737 (0.753)	Data 0.001 (0.001)	Loss 3.0134 (2.7421)	Prec@1 28.125 (34.553)	Prec@5 57.031 (64.949)
Epoch: [27][7620/14090]	Time 0.759 (0.753)	Data 0.001 (0.001)	Loss 2.7848 (2.7420)	Prec@1 38.281 (34.553)	Prec@5 60.938 (64.950)
Epoch: [27][7630/14090]	Time 0.759 (0.753)	Data 0.001 (0.001)	Loss 3.0056 (2.7420)	Prec@1 30.469 (34.554)	Prec@5 60.938 (64.952)
Epoch: [27][7640/14090]	Time 0.748 (0.753)	Data 0.001 (0.001)	Loss 2.7457 (2.7419)	Prec@1 32.812 (34.554)	Prec@5 67.188 (64.952)
Epoch: [27][7650/14090]	Time 0.760 (0.753)	Data 0.001 (0.001)	Loss 2.8281 (2.7419)	Prec@1 32.031 (34.552)	Prec@5 68.750 (64.955)
Epoch: [27][7660/14090]	Time 0.733 (0.753)	Data 0.001 (0.001)	Loss 2.9780 (2.7419)	Prec@1 28.906 (34.552)	Prec@5 56.250 (64.955)
Epoch: [27][7670/14090]	Time 0.759 (0.753)	Data 0.001 (0.001)	Loss 2.7740 (2.7419)	Prec@1 32.031 (34.552)	Prec@5 65.625 (64.956)
Epoch: [27][7680/14090]	Time 0.753 (0.753)	Data 0.001 (0.001)	Loss 3.0197 (2.7419)	Prec@1 28.125 (34.551)	Prec@5 61.719 (64.956)
Epoch: [27][7690/14090]	Time 0.796 (0.753)	Data 0.001 (0.001)	Loss 2.9166 (2.7420)	Prec@1 33.594 (34.548)	Prec@5 62.500 (64.953)
Epoch: [27][7700/14090]	Time 0.729 (0.753)	Data 0.001 (0.001)	Loss 2.8004 (2.7421)	Prec@1 30.469 (34.545)	Prec@5 64.062 (64.948)
Epoch: [27][7710/14090]	Time 0.759 (0.753)	Data 0.001 (0.001)	Loss 2.8274 (2.7423)	Prec@1 40.625 (34.546)	Prec@5 64.844 (64.945)
Epoch: [27][7720/14090]	Time 0.736 (0.753)	Data 0.001 (0.001)	Loss 2.8190 (2.7422)	Prec@1 34.375 (34.546)	Prec@5 63.281 (64.947)
Epoch: [27][7730/14090]	Time 0.725 (0.753)	Data 0.001 (0.001)	Loss 2.6696 (2.7421)	Prec@1 32.031 (34.545)	Prec@5 67.188 (64.948)
Epoch: [27][7740/14090]	Time 0.726 (0.753)	Data 0.001 (0.001)	Loss 2.4010 (2.7421)	Prec@1 36.719 (34.545)	Prec@5 69.531 (64.948)
Epoch: [27][7750/14090]	Time 0.740 (0.753)	Data 0.001 (0.001)	Loss 2.7792 (2.7421)	Prec@1 32.812 (34.546)	Prec@5 70.312 (64.950)
Epoch: [27][7760/14090]	Time 0.790 (0.753)	Data 0.001 (0.001)	Loss 2.8352 (2.7421)	Prec@1 35.156 (34.544)	Prec@5 64.062 (64.950)
Epoch: [27][7770/14090]	Time 0.756 (0.753)	Data 0.001 (0.001)	Loss 2.7661 (2.7421)	Prec@1 32.812 (34.545)	Prec@5 60.938 (64.950)
Epoch: [27][7780/14090]	Time 0.736 (0.753)	Data 0.001 (0.001)	Loss 2.7324 (2.7421)	Prec@1 33.594 (34.546)	Prec@5 64.062 (64.951)
Epoch: [27][7790/14090]	Time 0.759 (0.753)	Data 0.001 (0.001)	Loss 2.4899 (2.7420)	Prec@1 42.969 (34.547)	Prec@5 69.531 (64.952)
Epoch: [27][7800/14090]	Time 0.783 (0.753)	Data 0.001 (0.001)	Loss 2.8103 (2.7419)	Prec@1 32.812 (34.546)	Prec@5 60.156 (64.952)
Epoch: [27][7810/14090]	Time 0.735 (0.753)	Data 0.001 (0.001)	Loss 2.4867 (2.7418)	Prec@1 38.281 (34.548)	Prec@5 67.969 (64.954)
Epoch: [27][7820/14090]	Time 0.746 (0.753)	Data 0.001 (0.001)	Loss 2.7416 (2.7420)	Prec@1 26.562 (34.544)	Prec@5 71.875 (64.951)
Epoch: [27][7830/14090]	Time 0.755 (0.753)	Data 0.001 (0.001)	Loss 3.1182 (2.7421)	Prec@1 27.344 (34.542)	Prec@5 56.250 (64.948)
Epoch: [27][7840/14090]	Time 0.754 (0.753)	Data 0.001 (0.001)	Loss 2.6494 (2.7419)	Prec@1 37.500 (34.546)	Prec@5 67.188 (64.951)
Epoch: [27][7850/14090]	Time 0.772 (0.753)	Data 0.001 (0.001)	Loss 2.8407 (2.7422)	Prec@1 25.000 (34.541)	Prec@5 67.188 (64.950)
Epoch: [27][7860/14090]	Time 0.757 (0.753)	Data 0.001 (0.001)	Loss 2.7160 (2.7422)	Prec@1 35.156 (34.540)	Prec@5 67.188 (64.949)
Epoch: [27][7870/14090]	Time 0.759 (0.753)	Data 0.001 (0.001)	Loss 2.3269 (2.7421)	Prec@1 42.969 (34.541)	Prec@5 75.000 (64.951)
Epoch: [27][7880/14090]	Time 0.771 (0.753)	Data 0.001 (0.001)	Loss 2.9564 (2.7422)	Prec@1 30.469 (34.541)	Prec@5 58.594 (64.950)
Epoch: [27][7890/14090]	Time 0.773 (0.753)	Data 0.001 (0.001)	Loss 2.6019 (2.7422)	Prec@1 40.625 (34.539)	Prec@5 68.750 (64.949)
Epoch: [27][7900/14090]	Time 0.749 (0.753)	Data 0.001 (0.001)	Loss 2.7666 (2.7422)	Prec@1 33.594 (34.538)	Prec@5 63.281 (64.948)
Epoch: [27][7910/14090]	Time 0.752 (0.753)	Data 0.001 (0.001)	Loss 2.9395 (2.7422)	Prec@1 29.688 (34.538)	Prec@5 56.250 (64.947)
Epoch: [27][7920/14090]	Time 0.777 (0.753)	Data 0.003 (0.001)	Loss 2.8942 (2.7424)	Prec@1 34.375 (34.538)	Prec@5 59.375 (64.946)
Epoch: [27][7930/14090]	Time 0.765 (0.753)	Data 0.002 (0.001)	Loss 2.3723 (2.7424)	Prec@1 40.625 (34.536)	Prec@5 74.219 (64.946)
Epoch: [27][7940/14090]	Time 0.743 (0.753)	Data 0.001 (0.001)	Loss 2.6355 (2.7426)	Prec@1 37.500 (34.535)	Prec@5 64.062 (64.944)
Epoch: [27][7950/14090]	Time 0.731 (0.753)	Data 0.001 (0.001)	Loss 2.6539 (2.7426)	Prec@1 37.500 (34.532)	Prec@5 64.062 (64.941)
Epoch: [27][7960/14090]	Time 0.749 (0.753)	Data 0.001 (0.001)	Loss 2.9235 (2.7426)	Prec@1 34.375 (34.533)	Prec@5 62.500 (64.939)
Epoch: [27][7970/14090]	Time 0.741 (0.753)	Data 0.001 (0.001)	Loss 2.5812 (2.7427)	Prec@1 35.156 (34.532)	Prec@5 67.969 (64.937)
Epoch: [27][7980/14090]	Time 0.746 (0.753)	Data 0.001 (0.001)	Loss 2.5728 (2.7426)	Prec@1 35.938 (34.531)	Prec@5 70.312 (64.938)
Epoch: [27][7990/14090]	Time 0.759 (0.753)	Data 0.002 (0.001)	Loss 2.8363 (2.7427)	Prec@1 34.375 (34.528)	Prec@5 61.719 (64.937)
Epoch: [27][8000/14090]	Time 0.757 (0.753)	Data 0.001 (0.001)	Loss 2.7124 (2.7427)	Prec@1 35.938 (34.528)	Prec@5 64.062 (64.937)
Epoch: [27][8010/14090]	Time 0.742 (0.753)	Data 0.001 (0.001)	Loss 2.6607 (2.7427)	Prec@1 37.500 (34.528)	Prec@5 67.969 (64.936)
Epoch: [27][8020/14090]	Time 0.757 (0.753)	Data 0.001 (0.001)	Loss 2.8500 (2.7427)	Prec@1 34.375 (34.528)	Prec@5 58.594 (64.935)
Epoch: [27][8030/14090]	Time 0.762 (0.753)	Data 0.001 (0.001)	Loss 2.5476 (2.7427)	Prec@1 37.500 (34.527)	Prec@5 67.969 (64.934)
Epoch: [27][8040/14090]	Time 0.767 (0.753)	Data 0.001 (0.001)	Loss 2.7232 (2.7427)	Prec@1 35.938 (34.529)	Prec@5 66.406 (64.936)
Epoch: [27][8050/14090]	Time 0.744 (0.753)	Data 0.001 (0.001)	Loss 2.8245 (2.7426)	Prec@1 35.156 (34.532)	Prec@5 62.500 (64.939)
Epoch: [27][8060/14090]	Time 0.748 (0.753)	Data 0.001 (0.001)	Loss 2.6047 (2.7425)	Prec@1 35.938 (34.532)	Prec@5 64.062 (64.940)
Epoch: [27][8070/14090]	Time 0.739 (0.753)	Data 0.001 (0.001)	Loss 2.6994 (2.7424)	Prec@1 37.500 (34.533)	Prec@5 66.406 (64.942)
Epoch: [27][8080/14090]	Time 0.764 (0.753)	Data 0.001 (0.001)	Loss 2.8472 (2.7424)	Prec@1 32.031 (34.534)	Prec@5 64.062 (64.941)
Epoch: [27][8090/14090]	Time 0.770 (0.753)	Data 0.001 (0.001)	Loss 2.5920 (2.7424)	Prec@1 36.719 (34.534)	Prec@5 65.625 (64.940)
Epoch: [27][8100/14090]	Time 0.727 (0.753)	Data 0.001 (0.001)	Loss 2.6968 (2.7424)	Prec@1 35.938 (34.534)	Prec@5 64.844 (64.940)
Epoch: [27][8110/14090]	Time 0.781 (0.753)	Data 0.001 (0.001)	Loss 2.4833 (2.7423)	Prec@1 42.969 (34.537)	Prec@5 68.750 (64.941)
Epoch: [27][8120/14090]	Time 0.738 (0.753)	Data 0.001 (0.001)	Loss 2.8006 (2.7422)	Prec@1 28.906 (34.538)	Prec@5 64.844 (64.944)
Epoch: [27][8130/14090]	Time 0.738 (0.753)	Data 0.001 (0.001)	Loss 2.8636 (2.7422)	Prec@1 36.719 (34.539)	Prec@5 61.719 (64.943)
Epoch: [27][8140/14090]	Time 0.726 (0.753)	Data 0.001 (0.001)	Loss 2.8900 (2.7422)	Prec@1 34.375 (34.542)	Prec@5 62.500 (64.943)
Epoch: [27][8150/14090]	Time 0.767 (0.753)	Data 0.001 (0.001)	Loss 2.4044 (2.7422)	Prec@1 41.406 (34.544)	Prec@5 72.656 (64.945)
Epoch: [27][8160/14090]	Time 0.734 (0.753)	Data 0.001 (0.001)	Loss 2.7174 (2.7423)	Prec@1 35.156 (34.541)	Prec@5 64.062 (64.944)
Epoch: [27][8170/14090]	Time 0.755 (0.753)	Data 0.001 (0.001)	Loss 2.5748 (2.7423)	Prec@1 31.250 (34.540)	Prec@5 71.875 (64.943)
Epoch: [27][8180/14090]	Time 0.732 (0.753)	Data 0.001 (0.001)	Loss 2.6284 (2.7423)	Prec@1 35.938 (34.540)	Prec@5 68.750 (64.943)
Epoch: [27][8190/14090]	Time 0.778 (0.753)	Data 0.001 (0.001)	Loss 2.9697 (2.7423)	Prec@1 28.125 (34.539)	Prec@5 60.938 (64.945)
Epoch: [27][8200/14090]	Time 0.740 (0.753)	Data 0.001 (0.001)	Loss 2.6531 (2.7422)	Prec@1 33.594 (34.541)	Prec@5 67.188 (64.946)
Epoch: [27][8210/14090]	Time 0.755 (0.753)	Data 0.001 (0.001)	Loss 2.8489 (2.7422)	Prec@1 36.719 (34.543)	Prec@5 64.844 (64.945)
Epoch: [27][8220/14090]	Time 0.776 (0.753)	Data 0.001 (0.001)	Loss 2.7606 (2.7422)	Prec@1 35.938 (34.544)	Prec@5 65.625 (64.944)
Epoch: [27][8230/14090]	Time 0.738 (0.753)	Data 0.001 (0.001)	Loss 2.8018 (2.7423)	Prec@1 32.031 (34.541)	Prec@5 62.500 (64.941)
Epoch: [27][8240/14090]	Time 0.744 (0.753)	Data 0.001 (0.001)	Loss 2.8963 (2.7422)	Prec@1 30.469 (34.542)	Prec@5 61.719 (64.942)
Epoch: [27][8250/14090]	Time 0.773 (0.753)	Data 0.001 (0.001)	Loss 2.9262 (2.7423)	Prec@1 32.812 (34.543)	Prec@5 61.719 (64.941)
Epoch: [27][8260/14090]	Time 0.756 (0.753)	Data 0.001 (0.001)	Loss 2.6441 (2.7423)	Prec@1 37.500 (34.544)	Prec@5 67.188 (64.941)
Epoch: [27][8270/14090]	Time 0.749 (0.753)	Data 0.001 (0.001)	Loss 2.8837 (2.7423)	Prec@1 27.344 (34.542)	Prec@5 57.031 (64.938)
Epoch: [27][8280/14090]	Time 0.751 (0.753)	Data 0.001 (0.001)	Loss 2.8825 (2.7423)	Prec@1 38.281 (34.542)	Prec@5 63.281 (64.937)
Epoch: [27][8290/14090]	Time 0.746 (0.753)	Data 0.001 (0.001)	Loss 2.6485 (2.7423)	Prec@1 35.156 (34.539)	Prec@5 66.406 (64.936)
Epoch: [27][8300/14090]	Time 0.761 (0.753)	Data 0.001 (0.001)	Loss 2.5580 (2.7423)	Prec@1 42.969 (34.540)	Prec@5 67.188 (64.935)
Epoch: [27][8310/14090]	Time 0.791 (0.753)	Data 0.001 (0.001)	Loss 2.9282 (2.7423)	Prec@1 34.375 (34.540)	Prec@5 60.156 (64.934)
Epoch: [27][8320/14090]	Time 0.742 (0.753)	Data 0.001 (0.001)	Loss 2.5981 (2.7423)	Prec@1 37.500 (34.538)	Prec@5 71.094 (64.934)
Epoch: [27][8330/14090]	Time 0.745 (0.753)	Data 0.001 (0.001)	Loss 2.9704 (2.7424)	Prec@1 26.562 (34.538)	Prec@5 57.031 (64.931)
Epoch: [27][8340/14090]	Time 0.777 (0.753)	Data 0.001 (0.001)	Loss 2.8790 (2.7424)	Prec@1 32.812 (34.539)	Prec@5 60.938 (64.931)
Epoch: [27][8350/14090]	Time 0.746 (0.753)	Data 0.001 (0.001)	Loss 2.7320 (2.7424)	Prec@1 37.500 (34.539)	Prec@5 63.281 (64.931)
Epoch: [27][8360/14090]	Time 0.753 (0.753)	Data 0.001 (0.001)	Loss 2.6446 (2.7424)	Prec@1 35.938 (34.539)	Prec@5 67.188 (64.933)
Epoch: [27][8370/14090]	Time 0.783 (0.753)	Data 0.001 (0.001)	Loss 2.7869 (2.7425)	Prec@1 35.938 (34.538)	Prec@5 65.625 (64.930)
Epoch: [27][8380/14090]	Time 0.737 (0.753)	Data 0.001 (0.001)	Loss 2.6202 (2.7425)	Prec@1 35.156 (34.539)	Prec@5 67.188 (64.930)
Epoch: [27][8390/14090]	Time 0.766 (0.753)	Data 0.001 (0.001)	Loss 2.7945 (2.7425)	Prec@1 30.469 (34.538)	Prec@5 64.062 (64.928)
Epoch: [27][8400/14090]	Time 0.777 (0.753)	Data 0.001 (0.001)	Loss 2.7984 (2.7425)	Prec@1 35.938 (34.538)	Prec@5 62.500 (64.928)
Epoch: [27][8410/14090]	Time 0.734 (0.753)	Data 0.001 (0.001)	Loss 2.7738 (2.7425)	Prec@1 35.156 (34.541)	Prec@5 66.406 (64.929)
Epoch: [27][8420/14090]	Time 0.781 (0.753)	Data 0.001 (0.001)	Loss 2.7813 (2.7424)	Prec@1 39.062 (34.543)	Prec@5 62.500 (64.929)
Epoch: [27][8430/14090]	Time 0.749 (0.753)	Data 0.001 (0.001)	Loss 2.3546 (2.7425)	Prec@1 43.750 (34.543)	Prec@5 72.656 (64.928)
Epoch: [27][8440/14090]	Time 0.736 (0.753)	Data 0.001 (0.001)	Loss 2.9174 (2.7425)	Prec@1 33.594 (34.543)	Prec@5 62.500 (64.926)
Epoch: [27][8450/14090]	Time 0.731 (0.753)	Data 0.001 (0.001)	Loss 2.7009 (2.7425)	Prec@1 35.938 (34.542)	Prec@5 66.406 (64.928)
Epoch: [27][8460/14090]	Time 0.775 (0.753)	Data 0.001 (0.001)	Loss 2.7224 (2.7425)	Prec@1 32.812 (34.541)	Prec@5 61.719 (64.928)
Epoch: [27][8470/14090]	Time 0.777 (0.753)	Data 0.001 (0.001)	Loss 2.8373 (2.7425)	Prec@1 33.594 (34.542)	Prec@5 67.188 (64.927)
Epoch: [27][8480/14090]	Time 0.755 (0.753)	Data 0.001 (0.001)	Loss 2.5807 (2.7425)	Prec@1 33.594 (34.542)	Prec@5 67.969 (64.928)
Epoch: [27][8490/14090]	Time 0.737 (0.753)	Data 0.001 (0.001)	Loss 2.8201 (2.7426)	Prec@1 33.594 (34.541)	Prec@5 64.062 (64.926)
Epoch: [27][8500/14090]	Time 0.725 (0.753)	Data 0.001 (0.001)	Loss 2.4683 (2.7424)	Prec@1 38.281 (34.543)	Prec@5 67.969 (64.929)
Epoch: [27][8510/14090]	Time 0.745 (0.753)	Data 0.001 (0.001)	Loss 2.5243 (2.7424)	Prec@1 37.500 (34.544)	Prec@5 71.094 (64.930)
Epoch: [27][8520/14090]	Time 0.757 (0.753)	Data 0.001 (0.001)	Loss 2.5794 (2.7424)	Prec@1 37.500 (34.542)	Prec@5 64.844 (64.928)
Epoch: [27][8530/14090]	Time 0.764 (0.753)	Data 0.001 (0.001)	Loss 2.9672 (2.7424)	Prec@1 27.344 (34.541)	Prec@5 55.469 (64.925)
Epoch: [27][8540/14090]	Time 0.725 (0.753)	Data 0.001 (0.001)	Loss 2.8527 (2.7424)	Prec@1 32.031 (34.542)	Prec@5 60.156 (64.925)
Epoch: [27][8550/14090]	Time 0.739 (0.753)	Data 0.001 (0.001)	Loss 2.7769 (2.7425)	Prec@1 33.594 (34.541)	Prec@5 60.156 (64.922)
Epoch: [27][8560/14090]	Time 0.771 (0.753)	Data 0.001 (0.001)	Loss 2.4735 (2.7424)	Prec@1 41.406 (34.542)	Prec@5 72.656 (64.925)
Epoch: [27][8570/14090]	Time 0.736 (0.753)	Data 0.001 (0.001)	Loss 2.7884 (2.7423)	Prec@1 36.719 (34.543)	Prec@5 65.625 (64.927)
Epoch: [27][8580/14090]	Time 0.754 (0.753)	Data 0.001 (0.001)	Loss 2.7510 (2.7423)	Prec@1 34.375 (34.543)	Prec@5 67.969 (64.926)
Epoch: [27][8590/14090]	Time 0.777 (0.753)	Data 0.001 (0.001)	Loss 3.1081 (2.7424)	Prec@1 32.031 (34.543)	Prec@5 55.469 (64.925)
Epoch: [27][8600/14090]	Time 0.733 (0.753)	Data 0.001 (0.001)	Loss 2.6631 (2.7424)	Prec@1 28.125 (34.543)	Prec@5 67.969 (64.925)
Epoch: [27][8610/14090]	Time 0.741 (0.753)	Data 0.001 (0.001)	Loss 2.6512 (2.7424)	Prec@1 39.844 (34.543)	Prec@5 67.188 (64.926)
Epoch: [27][8620/14090]	Time 0.751 (0.753)	Data 0.001 (0.001)	Loss 2.8051 (2.7425)	Prec@1 35.938 (34.542)	Prec@5 67.969 (64.923)
Epoch: [27][8630/14090]	Time 0.731 (0.753)	Data 0.001 (0.001)	Loss 2.8138 (2.7425)	Prec@1 37.500 (34.541)	Prec@5 69.531 (64.923)
Epoch: [27][8640/14090]	Time 0.738 (0.753)	Data 0.001 (0.001)	Loss 2.7288 (2.7425)	Prec@1 35.938 (34.542)	Prec@5 61.719 (64.922)
Epoch: [27][8650/14090]	Time 0.744 (0.753)	Data 0.001 (0.001)	Loss 2.5995 (2.7425)	Prec@1 36.719 (34.539)	Prec@5 67.969 (64.921)
Epoch: [27][8660/14090]	Time 0.737 (0.753)	Data 0.001 (0.001)	Loss 2.9648 (2.7424)	Prec@1 29.688 (34.543)	Prec@5 58.594 (64.922)
Epoch: [27][8670/14090]	Time 0.793 (0.753)	Data 0.001 (0.001)	Loss 2.6440 (2.7425)	Prec@1 35.938 (34.543)	Prec@5 68.750 (64.921)
Epoch: [27][8680/14090]	Time 0.787 (0.753)	Data 0.001 (0.001)	Loss 2.9228 (2.7424)	Prec@1 31.250 (34.543)	Prec@5 60.156 (64.921)
Epoch: [27][8690/14090]	Time 0.811 (0.753)	Data 0.001 (0.001)	Loss 2.9559 (2.7425)	Prec@1 31.250 (34.542)	Prec@5 61.719 (64.919)
Epoch: [27][8700/14090]	Time 0.739 (0.753)	Data 0.001 (0.001)	Loss 2.9022 (2.7424)	Prec@1 32.812 (34.542)	Prec@5 58.594 (64.920)
Epoch: [27][8710/14090]	Time 0.776 (0.753)	Data 0.001 (0.001)	Loss 2.3904 (2.7424)	Prec@1 35.156 (34.542)	Prec@5 73.438 (64.921)
Epoch: [27][8720/14090]	Time 0.755 (0.753)	Data 0.001 (0.001)	Loss 3.1294 (2.7425)	Prec@1 24.219 (34.537)	Prec@5 62.500 (64.922)
Epoch: [27][8730/14090]	Time 0.748 (0.753)	Data 0.001 (0.001)	Loss 2.9972 (2.7426)	Prec@1 32.031 (34.535)	Prec@5 66.406 (64.922)
Epoch: [27][8740/14090]	Time 0.770 (0.753)	Data 0.001 (0.001)	Loss 2.8367 (2.7426)	Prec@1 32.812 (34.533)	Prec@5 60.938 (64.920)
Epoch: [27][8750/14090]	Time 0.776 (0.753)	Data 0.001 (0.001)	Loss 2.9123 (2.7427)	Prec@1 29.688 (34.531)	Prec@5 57.031 (64.916)
Epoch: [27][8760/14090]	Time 0.749 (0.753)	Data 0.001 (0.001)	Loss 2.5933 (2.7427)	Prec@1 32.031 (34.529)	Prec@5 67.188 (64.917)
Epoch: [27][8770/14090]	Time 0.735 (0.753)	Data 0.001 (0.001)	Loss 2.6731 (2.7427)	Prec@1 39.062 (34.529)	Prec@5 67.969 (64.918)
Epoch: [27][8780/14090]	Time 0.751 (0.753)	Data 0.001 (0.001)	Loss 2.8033 (2.7427)	Prec@1 35.156 (34.529)	Prec@5 67.188 (64.918)
Epoch: [27][8790/14090]	Time 0.750 (0.753)	Data 0.001 (0.001)	Loss 2.6287 (2.7427)	Prec@1 37.500 (34.529)	Prec@5 67.969 (64.920)
Epoch: [27][8800/14090]	Time 0.787 (0.753)	Data 0.002 (0.001)	Loss 2.6249 (2.7427)	Prec@1 38.281 (34.530)	Prec@5 69.531 (64.920)
Epoch: [27][8810/14090]	Time 0.743 (0.753)	Data 0.001 (0.001)	Loss 2.9308 (2.7428)	Prec@1 32.031 (34.526)	Prec@5 57.812 (64.919)
Epoch: [27][8820/14090]	Time 0.751 (0.753)	Data 0.001 (0.001)	Loss 2.5718 (2.7428)	Prec@1 40.625 (34.526)	Prec@5 64.844 (64.919)
Epoch: [27][8830/14090]	Time 0.848 (0.753)	Data 0.001 (0.001)	Loss 3.0417 (2.7428)	Prec@1 32.031 (34.528)	Prec@5 59.375 (64.920)
Epoch: [27][8840/14090]	Time 0.774 (0.753)	Data 0.001 (0.001)	Loss 2.9643 (2.7427)	Prec@1 29.688 (34.531)	Prec@5 60.156 (64.922)
Epoch: [27][8850/14090]	Time 0.765 (0.753)	Data 0.001 (0.001)	Loss 2.7096 (2.7427)	Prec@1 35.156 (34.530)	Prec@5 65.625 (64.922)
Epoch: [27][8860/14090]	Time 0.741 (0.753)	Data 0.001 (0.001)	Loss 2.9351 (2.7427)	Prec@1 31.250 (34.528)	Prec@5 62.500 (64.923)
Epoch: [27][8870/14090]	Time 0.743 (0.753)	Data 0.001 (0.001)	Loss 2.6443 (2.7426)	Prec@1 39.062 (34.530)	Prec@5 64.844 (64.925)
Epoch: [27][8880/14090]	Time 0.755 (0.753)	Data 0.001 (0.001)	Loss 2.8314 (2.7426)	Prec@1 36.719 (34.530)	Prec@5 63.281 (64.925)
Epoch: [27][8890/14090]	Time 0.733 (0.753)	Data 0.001 (0.001)	Loss 3.0467 (2.7427)	Prec@1 26.562 (34.529)	Prec@5 60.156 (64.923)
Epoch: [27][8900/14090]	Time 0.748 (0.753)	Data 0.001 (0.001)	Loss 3.0034 (2.7427)	Prec@1 34.375 (34.529)	Prec@5 57.031 (64.924)
Epoch: [27][8910/14090]	Time 0.742 (0.753)	Data 0.001 (0.001)	Loss 2.4658 (2.7426)	Prec@1 37.500 (34.529)	Prec@5 72.656 (64.924)
Epoch: [27][8920/14090]	Time 0.732 (0.753)	Data 0.001 (0.001)	Loss 3.0781 (2.7427)	Prec@1 28.125 (34.527)	Prec@5 56.250 (64.921)
Epoch: [27][8930/14090]	Time 0.749 (0.753)	Data 0.001 (0.001)	Loss 2.4712 (2.7427)	Prec@1 38.281 (34.527)	Prec@5 75.781 (64.921)
Epoch: [27][8940/14090]	Time 0.757 (0.753)	Data 0.001 (0.001)	Loss 2.5543 (2.7426)	Prec@1 34.375 (34.528)	Prec@5 67.188 (64.922)
Epoch: [27][8950/14090]	Time 0.737 (0.753)	Data 0.001 (0.001)	Loss 2.7988 (2.7427)	Prec@1 34.375 (34.528)	Prec@5 62.500 (64.922)
Epoch: [27][8960/14090]	Time 0.739 (0.753)	Data 0.001 (0.001)	Loss 2.9734 (2.7427)	Prec@1 24.219 (34.527)	Prec@5 58.594 (64.922)
Epoch: [27][8970/14090]	Time 0.748 (0.753)	Data 0.001 (0.001)	Loss 2.7488 (2.7426)	Prec@1 32.812 (34.529)	Prec@5 67.969 (64.923)
Epoch: [27][8980/14090]	Time 0.748 (0.753)	Data 0.001 (0.001)	Loss 2.6512 (2.7426)	Prec@1 32.031 (34.528)	Prec@5 65.625 (64.923)
Epoch: [27][8990/14090]	Time 0.729 (0.753)	Data 0.001 (0.001)	Loss 2.8147 (2.7426)	Prec@1 34.375 (34.530)	Prec@5 58.594 (64.923)
Epoch: [27][9000/14090]	Time 0.775 (0.753)	Data 0.001 (0.001)	Loss 2.4742 (2.7427)	Prec@1 38.281 (34.529)	Prec@5 70.312 (64.923)
Epoch: [27][9010/14090]	Time 0.736 (0.753)	Data 0.001 (0.001)	Loss 2.8238 (2.7426)	Prec@1 25.781 (34.532)	Prec@5 62.500 (64.925)
Epoch: [27][9020/14090]	Time 0.723 (0.753)	Data 0.001 (0.001)	Loss 2.7071 (2.7426)	Prec@1 32.031 (34.533)	Prec@5 67.188 (64.923)
Epoch: [27][9030/14090]	Time 0.771 (0.753)	Data 0.001 (0.001)	Loss 2.7156 (2.7426)	Prec@1 40.625 (34.531)	Prec@5 64.062 (64.921)
Epoch: [27][9040/14090]	Time 0.735 (0.753)	Data 0.001 (0.001)	Loss 2.9156 (2.7426)	Prec@1 37.500 (34.530)	Prec@5 61.719 (64.921)
Epoch: [27][9050/14090]	Time 0.733 (0.753)	Data 0.001 (0.001)	Loss 2.8247 (2.7428)	Prec@1 32.812 (34.527)	Prec@5 62.500 (64.918)
Epoch: [27][9060/14090]	Time 0.745 (0.753)	Data 0.001 (0.001)	Loss 2.7235 (2.7428)	Prec@1 32.812 (34.527)	Prec@5 62.500 (64.917)
Epoch: [27][9070/14090]	Time 0.763 (0.753)	Data 0.001 (0.001)	Loss 2.7078 (2.7428)	Prec@1 36.719 (34.525)	Prec@5 60.938 (64.916)
Epoch: [27][9080/14090]	Time 0.759 (0.753)	Data 0.001 (0.001)	Loss 3.0231 (2.7428)	Prec@1 22.656 (34.524)	Prec@5 62.500 (64.914)
Epoch: [27][9090/14090]	Time 0.747 (0.753)	Data 0.001 (0.001)	Loss 2.7760 (2.7428)	Prec@1 34.375 (34.524)	Prec@5 63.281 (64.915)
Epoch: [27][9100/14090]	Time 0.776 (0.753)	Data 0.001 (0.001)	Loss 2.7498 (2.7429)	Prec@1 33.594 (34.524)	Prec@5 67.188 (64.914)
Epoch: [27][9110/14090]	Time 0.732 (0.753)	Data 0.001 (0.001)	Loss 2.5481 (2.7428)	Prec@1 38.281 (34.525)	Prec@5 68.750 (64.915)
Epoch: [27][9120/14090]	Time 0.759 (0.753)	Data 0.002 (0.001)	Loss 2.9501 (2.7427)	Prec@1 28.125 (34.528)	Prec@5 62.500 (64.917)
Epoch: [27][9130/14090]	Time 0.771 (0.753)	Data 0.003 (0.001)	Loss 2.8689 (2.7428)	Prec@1 34.375 (34.526)	Prec@5 60.156 (64.914)
Epoch: [27][9140/14090]	Time 0.728 (0.753)	Data 0.001 (0.001)	Loss 2.8886 (2.7428)	Prec@1 32.812 (34.528)	Prec@5 59.375 (64.913)
Epoch: [27][9150/14090]	Time 0.758 (0.753)	Data 0.001 (0.001)	Loss 2.5472 (2.7428)	Prec@1 35.156 (34.530)	Prec@5 72.656 (64.914)
Epoch: [27][9160/14090]	Time 0.749 (0.753)	Data 0.001 (0.001)	Loss 2.5031 (2.7428)	Prec@1 37.500 (34.529)	Prec@5 67.969 (64.913)
Epoch: [27][9170/14090]	Time 0.783 (0.753)	Data 0.001 (0.001)	Loss 2.7388 (2.7428)	Prec@1 36.719 (34.530)	Prec@5 60.938 (64.913)
Epoch: [27][9180/14090]	Time 0.771 (0.753)	Data 0.001 (0.001)	Loss 2.8945 (2.7428)	Prec@1 26.562 (34.527)	Prec@5 63.281 (64.912)
Epoch: [27][9190/14090]	Time 0.782 (0.753)	Data 0.001 (0.001)	Loss 2.8165 (2.7429)	Prec@1 32.031 (34.525)	Prec@5 66.406 (64.911)
Epoch: [27][9200/14090]	Time 0.742 (0.753)	Data 0.001 (0.001)	Loss 2.5715 (2.7428)	Prec@1 44.531 (34.529)	Prec@5 67.188 (64.912)
Epoch: [27][9210/14090]	Time 0.728 (0.753)	Data 0.001 (0.001)	Loss 2.8839 (2.7428)	Prec@1 32.812 (34.529)	Prec@5 60.938 (64.913)
Epoch: [27][9220/14090]	Time 0.755 (0.753)	Data 0.001 (0.001)	Loss 2.7625 (2.7428)	Prec@1 31.250 (34.530)	Prec@5 64.844 (64.910)
Epoch: [27][9230/14090]	Time 0.766 (0.753)	Data 0.001 (0.001)	Loss 2.9151 (2.7429)	Prec@1 32.812 (34.530)	Prec@5 62.500 (64.910)
Epoch: [27][9240/14090]	Time 0.763 (0.753)	Data 0.001 (0.001)	Loss 2.6827 (2.7428)	Prec@1 32.031 (34.532)	Prec@5 68.750 (64.912)
Epoch: [27][9250/14090]	Time 0.848 (0.753)	Data 0.001 (0.001)	Loss 2.7978 (2.7428)	Prec@1 38.281 (34.529)	Prec@5 61.719 (64.911)
Epoch: [27][9260/14090]	Time 0.759 (0.753)	Data 0.001 (0.001)	Loss 2.8755 (2.7428)	Prec@1 33.594 (34.528)	Prec@5 67.188 (64.912)
Epoch: [27][9270/14090]	Time 0.740 (0.753)	Data 0.001 (0.001)	Loss 2.5660 (2.7429)	Prec@1 42.188 (34.531)	Prec@5 71.094 (64.910)
Epoch: [27][9280/14090]	Time 0.785 (0.753)	Data 0.001 (0.001)	Loss 2.5330 (2.7428)	Prec@1 40.625 (34.534)	Prec@5 66.406 (64.911)
Epoch: [27][9290/14090]	Time 0.780 (0.753)	Data 0.001 (0.001)	Loss 3.0657 (2.7428)	Prec@1 28.125 (34.535)	Prec@5 53.125 (64.912)
Epoch: [27][9300/14090]	Time 0.755 (0.753)	Data 0.001 (0.001)	Loss 2.5608 (2.7427)	Prec@1 37.500 (34.534)	Prec@5 67.188 (64.913)
Epoch: [27][9310/14090]	Time 0.772 (0.753)	Data 0.001 (0.001)	Loss 2.9371 (2.7428)	Prec@1 32.031 (34.532)	Prec@5 61.719 (64.912)
Epoch: [27][9320/14090]	Time 0.739 (0.753)	Data 0.001 (0.001)	Loss 2.9684 (2.7427)	Prec@1 31.250 (34.535)	Prec@5 62.500 (64.913)
Epoch: [27][9330/14090]	Time 0.771 (0.753)	Data 0.002 (0.001)	Loss 2.5701 (2.7428)	Prec@1 40.625 (34.536)	Prec@5 64.062 (64.912)
Epoch: [27][9340/14090]	Time 0.743 (0.753)	Data 0.001 (0.001)	Loss 2.9812 (2.7428)	Prec@1 35.156 (34.536)	Prec@5 58.594 (64.909)
Epoch: [27][9350/14090]	Time 0.736 (0.753)	Data 0.001 (0.001)	Loss 2.5364 (2.7428)	Prec@1 36.719 (34.535)	Prec@5 67.969 (64.909)
Epoch: [27][9360/14090]	Time 0.785 (0.753)	Data 0.001 (0.001)	Loss 2.7400 (2.7428)	Prec@1 39.844 (34.535)	Prec@5 64.062 (64.910)
Epoch: [27][9370/14090]	Time 0.753 (0.753)	Data 0.001 (0.001)	Loss 2.6025 (2.7428)	Prec@1 39.062 (34.537)	Prec@5 68.750 (64.911)
Epoch: [27][9380/14090]	Time 0.735 (0.753)	Data 0.001 (0.001)	Loss 2.7804 (2.7428)	Prec@1 35.156 (34.536)	Prec@5 67.969 (64.910)
Epoch: [27][9390/14090]	Time 0.775 (0.753)	Data 0.001 (0.001)	Loss 2.7101 (2.7428)	Prec@1 35.156 (34.537)	Prec@5 64.844 (64.908)
Epoch: [27][9400/14090]	Time 0.749 (0.753)	Data 0.001 (0.001)	Loss 2.6307 (2.7427)	Prec@1 40.625 (34.539)	Prec@5 69.531 (64.911)
Epoch: [27][9410/14090]	Time 0.762 (0.753)	Data 0.001 (0.001)	Loss 3.0306 (2.7427)	Prec@1 29.688 (34.540)	Prec@5 59.375 (64.911)
Epoch: [27][9420/14090]	Time 0.774 (0.753)	Data 0.001 (0.001)	Loss 2.6860 (2.7427)	Prec@1 39.844 (34.540)	Prec@5 66.406 (64.911)
Epoch: [27][9430/14090]	Time 0.742 (0.753)	Data 0.001 (0.001)	Loss 2.9035 (2.7427)	Prec@1 32.031 (34.542)	Prec@5 64.062 (64.912)
Epoch: [27][9440/14090]	Time 0.783 (0.753)	Data 0.001 (0.001)	Loss 2.6870 (2.7426)	Prec@1 32.812 (34.544)	Prec@5 73.438 (64.913)
Epoch: [27][9450/14090]	Time 0.760 (0.753)	Data 0.001 (0.001)	Loss 2.4985 (2.7426)	Prec@1 35.156 (34.543)	Prec@5 71.094 (64.916)
Epoch: [27][9460/14090]	Time 0.739 (0.753)	Data 0.001 (0.001)	Loss 2.7133 (2.7425)	Prec@1 32.031 (34.543)	Prec@5 69.531 (64.916)
Epoch: [27][9470/14090]	Time 0.773 (0.753)	Data 0.001 (0.001)	Loss 2.7924 (2.7425)	Prec@1 33.594 (34.542)	Prec@5 66.406 (64.917)
Epoch: [27][9480/14090]	Time 0.745 (0.753)	Data 0.001 (0.001)	Loss 3.0086 (2.7425)	Prec@1 32.031 (34.543)	Prec@5 57.812 (64.919)
Epoch: [27][9490/14090]	Time 0.779 (0.753)	Data 0.001 (0.001)	Loss 2.7106 (2.7425)	Prec@1 36.719 (34.544)	Prec@5 61.719 (64.916)
Epoch: [27][9500/14090]	Time 0.751 (0.753)	Data 0.001 (0.001)	Loss 2.8790 (2.7426)	Prec@1 30.469 (34.541)	Prec@5 58.594 (64.914)
Epoch: [27][9510/14090]	Time 0.744 (0.753)	Data 0.001 (0.001)	Loss 3.0315 (2.7426)	Prec@1 29.688 (34.541)	Prec@5 63.281 (64.915)
Epoch: [27][9520/14090]	Time 0.779 (0.753)	Data 0.001 (0.001)	Loss 2.7738 (2.7426)	Prec@1 32.812 (34.541)	Prec@5 67.188 (64.915)
Epoch: [27][9530/14090]	Time 0.845 (0.753)	Data 0.001 (0.001)	Loss 2.6771 (2.7426)	Prec@1 36.719 (34.542)	Prec@5 66.406 (64.914)
Epoch: [27][9540/14090]	Time 0.775 (0.753)	Data 0.001 (0.001)	Loss 2.8913 (2.7427)	Prec@1 30.469 (34.539)	Prec@5 60.938 (64.912)
Epoch: [27][9550/14090]	Time 0.795 (0.753)	Data 0.001 (0.001)	Loss 2.6781 (2.7427)	Prec@1 30.469 (34.539)	Prec@5 69.531 (64.912)
Epoch: [27][9560/14090]	Time 0.759 (0.753)	Data 0.001 (0.001)	Loss 2.8038 (2.7428)	Prec@1 29.688 (34.537)	Prec@5 64.844 (64.912)
Epoch: [27][9570/14090]	Time 0.739 (0.753)	Data 0.001 (0.001)	Loss 2.7398 (2.7429)	Prec@1 31.250 (34.536)	Prec@5 67.969 (64.909)
Epoch: [27][9580/14090]	Time 0.750 (0.753)	Data 0.001 (0.001)	Loss 2.8920 (2.7428)	Prec@1 32.812 (34.537)	Prec@5 62.500 (64.911)
Epoch: [27][9590/14090]	Time 0.731 (0.753)	Data 0.001 (0.001)	Loss 2.8174 (2.7429)	Prec@1 36.719 (34.535)	Prec@5 61.719 (64.910)
Epoch: [27][9600/14090]	Time 0.772 (0.753)	Data 0.001 (0.001)	Loss 2.6224 (2.7428)	Prec@1 40.625 (34.538)	Prec@5 66.406 (64.911)
Epoch: [27][9610/14090]	Time 0.739 (0.753)	Data 0.001 (0.001)	Loss 2.7000 (2.7429)	Prec@1 35.156 (34.536)	Prec@5 63.281 (64.911)
Epoch: [27][9620/14090]	Time 0.739 (0.753)	Data 0.001 (0.001)	Loss 2.6205 (2.7428)	Prec@1 36.719 (34.537)	Prec@5 67.969 (64.913)
Epoch: [27][9630/14090]	Time 0.733 (0.753)	Data 0.001 (0.001)	Loss 2.9664 (2.7429)	Prec@1 28.125 (34.534)	Prec@5 65.625 (64.912)
Epoch: [27][9640/14090]	Time 0.778 (0.753)	Data 0.001 (0.001)	Loss 2.8717 (2.7429)	Prec@1 38.281 (34.534)	Prec@5 60.156 (64.911)
Epoch: [27][9650/14090]	Time 0.741 (0.753)	Data 0.001 (0.001)	Loss 2.8479 (2.7430)	Prec@1 32.031 (34.534)	Prec@5 62.500 (64.912)
Epoch: [27][9660/14090]	Time 0.731 (0.753)	Data 0.001 (0.001)	Loss 2.8074 (2.7430)	Prec@1 28.125 (34.532)	Prec@5 63.281 (64.912)
Epoch: [27][9670/14090]	Time 0.750 (0.753)	Data 0.001 (0.001)	Loss 2.9143 (2.7431)	Prec@1 27.344 (34.529)	Prec@5 64.062 (64.911)
Epoch: [27][9680/14090]	Time 0.731 (0.753)	Data 0.001 (0.001)	Loss 2.3239 (2.7429)	Prec@1 41.406 (34.534)	Prec@5 73.438 (64.914)
Epoch: [27][9690/14090]	Time 0.774 (0.753)	Data 0.002 (0.001)	Loss 2.7253 (2.7430)	Prec@1 34.375 (34.532)	Prec@5 64.062 (64.912)
Epoch: [27][9700/14090]	Time 0.765 (0.753)	Data 0.001 (0.001)	Loss 2.6393 (2.7430)	Prec@1 35.156 (34.532)	Prec@5 69.531 (64.912)
Epoch: [27][9710/14090]	Time 0.743 (0.753)	Data 0.001 (0.001)	Loss 2.5042 (2.7431)	Prec@1 41.406 (34.531)	Prec@5 66.406 (64.912)
Epoch: [27][9720/14090]	Time 0.739 (0.753)	Data 0.001 (0.001)	Loss 2.8616 (2.7431)	Prec@1 30.469 (34.530)	Prec@5 64.062 (64.911)
Epoch: [27][9730/14090]	Time 0.756 (0.753)	Data 0.001 (0.001)	Loss 2.9443 (2.7431)	Prec@1 30.469 (34.530)	Prec@5 58.594 (64.912)
Epoch: [27][9740/14090]	Time 0.783 (0.753)	Data 0.001 (0.001)	Loss 2.6197 (2.7430)	Prec@1 40.625 (34.531)	Prec@5 69.531 (64.914)
Epoch: [27][9750/14090]	Time 0.743 (0.753)	Data 0.001 (0.001)	Loss 2.9765 (2.7431)	Prec@1 28.125 (34.531)	Prec@5 63.281 (64.915)
Epoch: [27][9760/14090]	Time 0.777 (0.753)	Data 0.001 (0.001)	Loss 3.1402 (2.7431)	Prec@1 24.219 (34.532)	Prec@5 59.375 (64.913)
Epoch: [27][9770/14090]	Time 0.750 (0.753)	Data 0.001 (0.001)	Loss 2.8834 (2.7431)	Prec@1 33.594 (34.533)	Prec@5 62.500 (64.913)
Epoch: [27][9780/14090]	Time 0.757 (0.753)	Data 0.001 (0.001)	Loss 3.0433 (2.7431)	Prec@1 24.219 (34.531)	Prec@5 59.375 (64.911)
Epoch: [27][9790/14090]	Time 0.734 (0.753)	Data 0.001 (0.001)	Loss 2.8588 (2.7432)	Prec@1 31.250 (34.531)	Prec@5 63.281 (64.909)
Epoch: [27][9800/14090]	Time 0.748 (0.753)	Data 0.002 (0.001)	Loss 3.0410 (2.7432)	Prec@1 26.562 (34.530)	Prec@5 59.375 (64.909)
Epoch: [27][9810/14090]	Time 0.883 (0.753)	Data 0.001 (0.001)	Loss 2.7353 (2.7432)	Prec@1 39.062 (34.531)	Prec@5 61.719 (64.911)
Epoch: [27][9820/14090]	Time 0.774 (0.753)	Data 0.001 (0.001)	Loss 2.7027 (2.7432)	Prec@1 37.500 (34.531)	Prec@5 63.281 (64.910)
Epoch: [27][9830/14090]	Time 0.765 (0.753)	Data 0.001 (0.001)	Loss 2.9286 (2.7432)	Prec@1 25.781 (34.530)	Prec@5 57.812 (64.910)
Epoch: [27][9840/14090]	Time 0.737 (0.753)	Data 0.001 (0.001)	Loss 2.7175 (2.7432)	Prec@1 33.594 (34.532)	Prec@5 65.625 (64.911)
Epoch: [27][9850/14090]	Time 0.734 (0.753)	Data 0.001 (0.001)	Loss 2.8246 (2.7431)	Prec@1 34.375 (34.535)	Prec@5 60.156 (64.912)
Epoch: [27][9860/14090]	Time 0.767 (0.753)	Data 0.001 (0.001)	Loss 2.6828 (2.7431)	Prec@1 35.156 (34.536)	Prec@5 67.188 (64.913)
Epoch: [27][9870/14090]	Time 0.759 (0.753)	Data 0.001 (0.001)	Loss 2.5970 (2.7430)	Prec@1 39.062 (34.538)	Prec@5 67.188 (64.915)
Epoch: [27][9880/14090]	Time 0.770 (0.753)	Data 0.001 (0.001)	Loss 2.8685 (2.7430)	Prec@1 31.250 (34.538)	Prec@5 60.156 (64.915)
Epoch: [27][9890/14090]	Time 0.729 (0.753)	Data 0.001 (0.001)	Loss 2.8967 (2.7430)	Prec@1 30.469 (34.537)	Prec@5 63.281 (64.916)
Epoch: [27][9900/14090]	Time 0.746 (0.753)	Data 0.001 (0.001)	Loss 2.4317 (2.7430)	Prec@1 40.625 (34.538)	Prec@5 67.969 (64.917)
Epoch: [27][9910/14090]	Time 0.752 (0.753)	Data 0.001 (0.001)	Loss 2.6701 (2.7430)	Prec@1 36.719 (34.538)	Prec@5 68.750 (64.917)
Epoch: [27][9920/14090]	Time 0.740 (0.753)	Data 0.001 (0.001)	Loss 2.8059 (2.7430)	Prec@1 35.156 (34.538)	Prec@5 67.969 (64.918)
Epoch: [27][9930/14090]	Time 0.749 (0.753)	Data 0.001 (0.001)	Loss 2.7950 (2.7430)	Prec@1 32.812 (34.538)	Prec@5 65.625 (64.919)
Epoch: [27][9940/14090]	Time 0.726 (0.753)	Data 0.001 (0.001)	Loss 2.7929 (2.7429)	Prec@1 34.375 (34.539)	Prec@5 65.625 (64.920)
Epoch: [27][9950/14090]	Time 0.760 (0.753)	Data 0.001 (0.001)	Loss 2.4313 (2.7429)	Prec@1 41.406 (34.539)	Prec@5 70.312 (64.920)
Epoch: [27][9960/14090]	Time 0.737 (0.753)	Data 0.001 (0.001)	Loss 2.3740 (2.7429)	Prec@1 43.750 (34.537)	Prec@5 73.438 (64.922)
Epoch: [27][9970/14090]	Time 0.749 (0.753)	Data 0.001 (0.001)	Loss 2.5930 (2.7429)	Prec@1 42.188 (34.537)	Prec@5 69.531 (64.922)
Epoch: [27][9980/14090]	Time 0.779 (0.753)	Data 0.001 (0.001)	Loss 2.8514 (2.7430)	Prec@1 31.250 (34.535)	Prec@5 64.844 (64.921)
Epoch: [27][9990/14090]	Time 0.750 (0.753)	Data 0.001 (0.001)	Loss 2.5737 (2.7430)	Prec@1 41.406 (34.535)	Prec@5 70.312 (64.921)
Epoch: [27][10000/14090]	Time 0.764 (0.753)	Data 0.001 (0.001)	Loss 2.5125 (2.7429)	Prec@1 42.188 (34.537)	Prec@5 68.750 (64.922)
Epoch: [27][10010/14090]	Time 0.768 (0.753)	Data 0.001 (0.001)	Loss 2.6481 (2.7429)	Prec@1 35.156 (34.538)	Prec@5 67.188 (64.924)
Epoch: [27][10020/14090]	Time 0.757 (0.753)	Data 0.001 (0.001)	Loss 3.0035 (2.7429)	Prec@1 24.219 (34.538)	Prec@5 54.688 (64.922)
Epoch: [27][10030/14090]	Time 0.760 (0.753)	Data 0.001 (0.001)	Loss 2.5396 (2.7429)	Prec@1 41.406 (34.538)	Prec@5 67.188 (64.922)
Epoch: [27][10040/14090]	Time 0.728 (0.753)	Data 0.001 (0.001)	Loss 2.9527 (2.7429)	Prec@1 30.469 (34.537)	Prec@5 54.688 (64.921)
Epoch: [27][10050/14090]	Time 0.747 (0.753)	Data 0.001 (0.001)	Loss 2.7401 (2.7429)	Prec@1 36.719 (34.536)	Prec@5 64.844 (64.921)
Epoch: [27][10060/14090]	Time 0.729 (0.753)	Data 0.001 (0.001)	Loss 2.5830 (2.7429)	Prec@1 35.938 (34.538)	Prec@5 64.844 (64.922)
Epoch: [27][10070/14090]	Time 0.777 (0.753)	Data 0.001 (0.001)	Loss 2.7899 (2.7428)	Prec@1 36.719 (34.540)	Prec@5 61.719 (64.922)
Epoch: [27][10080/14090]	Time 0.761 (0.753)	Data 0.001 (0.001)	Loss 2.7412 (2.7429)	Prec@1 34.375 (34.537)	Prec@5 64.844 (64.919)
Epoch: [27][10090/14090]	Time 0.728 (0.753)	Data 0.001 (0.001)	Loss 2.6066 (2.7429)	Prec@1 38.281 (34.538)	Prec@5 66.406 (64.920)
Epoch: [27][10100/14090]	Time 0.751 (0.753)	Data 0.001 (0.001)	Loss 2.3786 (2.7429)	Prec@1 43.750 (34.538)	Prec@5 71.094 (64.920)
Epoch: [27][10110/14090]	Time 0.745 (0.753)	Data 0.001 (0.001)	Loss 2.8900 (2.7429)	Prec@1 34.375 (34.536)	Prec@5 61.719 (64.920)
Epoch: [27][10120/14090]	Time 0.733 (0.753)	Data 0.001 (0.001)	Loss 2.9928 (2.7431)	Prec@1 25.781 (34.532)	Prec@5 57.812 (64.917)
Epoch: [27][10130/14090]	Time 0.759 (0.753)	Data 0.001 (0.001)	Loss 2.6044 (2.7431)	Prec@1 41.406 (34.530)	Prec@5 66.406 (64.917)
Epoch: [27][10140/14090]	Time 0.738 (0.753)	Data 0.001 (0.001)	Loss 2.5901 (2.7432)	Prec@1 39.062 (34.529)	Prec@5 67.188 (64.916)
Epoch: [27][10150/14090]	Time 0.752 (0.753)	Data 0.001 (0.001)	Loss 2.8703 (2.7432)	Prec@1 34.375 (34.529)	Prec@5 57.031 (64.914)
Epoch: [27][10160/14090]	Time 0.802 (0.753)	Data 0.001 (0.001)	Loss 3.0798 (2.7433)	Prec@1 28.906 (34.530)	Prec@5 57.031 (64.913)
Epoch: [27][10170/14090]	Time 0.740 (0.753)	Data 0.001 (0.001)	Loss 2.4588 (2.7433)	Prec@1 38.281 (34.529)	Prec@5 72.656 (64.912)
Epoch: [27][10180/14090]	Time 0.723 (0.753)	Data 0.001 (0.001)	Loss 2.7191 (2.7433)	Prec@1 39.062 (34.528)	Prec@5 60.938 (64.911)
Epoch: [27][10190/14090]	Time 0.743 (0.753)	Data 0.001 (0.001)	Loss 2.5824 (2.7433)	Prec@1 32.812 (34.529)	Prec@5 69.531 (64.912)
Epoch: [27][10200/14090]	Time 0.749 (0.753)	Data 0.001 (0.001)	Loss 2.8449 (2.7433)	Prec@1 36.719 (34.529)	Prec@5 62.500 (64.910)
Epoch: [27][10210/14090]	Time 0.752 (0.753)	Data 0.001 (0.001)	Loss 2.8728 (2.7433)	Prec@1 28.906 (34.530)	Prec@5 64.062 (64.912)
Epoch: [27][10220/14090]	Time 0.755 (0.753)	Data 0.001 (0.001)	Loss 2.7333 (2.7432)	Prec@1 32.812 (34.530)	Prec@5 64.844 (64.914)
Epoch: [27][10230/14090]	Time 0.733 (0.753)	Data 0.001 (0.001)	Loss 2.7125 (2.7432)	Prec@1 35.938 (34.530)	Prec@5 67.969 (64.913)
Epoch: [27][10240/14090]	Time 0.752 (0.753)	Data 0.001 (0.001)	Loss 2.9950 (2.7431)	Prec@1 35.156 (34.532)	Prec@5 60.156 (64.915)
Epoch: [27][10250/14090]	Time 0.747 (0.753)	Data 0.001 (0.001)	Loss 2.7214 (2.7431)	Prec@1 38.281 (34.531)	Prec@5 67.969 (64.916)
Epoch: [27][10260/14090]	Time 0.766 (0.753)	Data 0.001 (0.001)	Loss 2.8259 (2.7431)	Prec@1 34.375 (34.531)	Prec@5 60.156 (64.916)
Epoch: [27][10270/14090]	Time 0.780 (0.753)	Data 0.001 (0.001)	Loss 2.7807 (2.7432)	Prec@1 35.938 (34.532)	Prec@5 62.500 (64.915)
Epoch: [27][10280/14090]	Time 0.737 (0.753)	Data 0.001 (0.001)	Loss 2.9527 (2.7432)	Prec@1 28.906 (34.531)	Prec@5 59.375 (64.914)
Epoch: [27][10290/14090]	Time 0.747 (0.753)	Data 0.001 (0.001)	Loss 2.8869 (2.7433)	Prec@1 27.344 (34.530)	Prec@5 56.250 (64.911)
Epoch: [27][10300/14090]	Time 0.752 (0.753)	Data 0.001 (0.001)	Loss 2.9893 (2.7432)	Prec@1 28.906 (34.530)	Prec@5 60.938 (64.914)
Epoch: [27][10310/14090]	Time 0.769 (0.753)	Data 0.001 (0.001)	Loss 2.6615 (2.7432)	Prec@1 36.719 (34.531)	Prec@5 65.625 (64.913)
Epoch: [27][10320/14090]	Time 0.775 (0.753)	Data 0.001 (0.001)	Loss 2.6739 (2.7432)	Prec@1 37.500 (34.530)	Prec@5 64.062 (64.913)
Epoch: [27][10330/14090]	Time 0.753 (0.753)	Data 0.001 (0.001)	Loss 3.0414 (2.7433)	Prec@1 23.438 (34.528)	Prec@5 56.250 (64.911)
Epoch: [27][10340/14090]	Time 0.736 (0.753)	Data 0.001 (0.001)	Loss 2.8183 (2.7433)	Prec@1 30.469 (34.530)	Prec@5 61.719 (64.911)
Epoch: [27][10350/14090]	Time 0.735 (0.753)	Data 0.001 (0.001)	Loss 2.8607 (2.7432)	Prec@1 35.156 (34.530)	Prec@5 65.625 (64.912)
Epoch: [27][10360/14090]	Time 0.782 (0.753)	Data 0.001 (0.001)	Loss 2.6187 (2.7431)	Prec@1 39.062 (34.531)	Prec@5 64.844 (64.914)
Epoch: [27][10370/14090]	Time 0.744 (0.753)	Data 0.001 (0.001)	Loss 2.5329 (2.7432)	Prec@1 42.188 (34.530)	Prec@5 72.656 (64.915)
Epoch: [27][10380/14090]	Time 0.749 (0.753)	Data 0.001 (0.001)	Loss 2.8286 (2.7432)	Prec@1 35.938 (34.530)	Prec@5 63.281 (64.915)
Epoch: [27][10390/14090]	Time 0.754 (0.753)	Data 0.001 (0.001)	Loss 2.5473 (2.7432)	Prec@1 39.062 (34.530)	Prec@5 67.969 (64.915)
Epoch: [27][10400/14090]	Time 0.755 (0.753)	Data 0.001 (0.001)	Loss 2.5137 (2.7431)	Prec@1 42.188 (34.532)	Prec@5 67.969 (64.918)
Epoch: [27][10410/14090]	Time 0.734 (0.753)	Data 0.001 (0.001)	Loss 2.8089 (2.7431)	Prec@1 32.812 (34.532)	Prec@5 65.625 (64.918)
Epoch: [27][10420/14090]	Time 0.740 (0.753)	Data 0.001 (0.001)	Loss 2.8631 (2.7431)	Prec@1 32.812 (34.532)	Prec@5 60.938 (64.917)
Epoch: [27][10430/14090]	Time 0.743 (0.753)	Data 0.001 (0.001)	Loss 2.5867 (2.7431)	Prec@1 35.156 (34.532)	Prec@5 67.188 (64.917)
Epoch: [27][10440/14090]	Time 0.778 (0.753)	Data 0.001 (0.001)	Loss 3.0271 (2.7432)	Prec@1 35.156 (34.532)	Prec@5 60.938 (64.915)
Epoch: [27][10450/14090]	Time 0.732 (0.753)	Data 0.001 (0.001)	Loss 2.8310 (2.7433)	Prec@1 35.156 (34.530)	Prec@5 64.062 (64.914)
Epoch: [27][10460/14090]	Time 0.738 (0.753)	Data 0.001 (0.001)	Loss 2.7125 (2.7433)	Prec@1 34.375 (34.530)	Prec@5 64.844 (64.913)
Epoch: [27][10470/14090]	Time 0.756 (0.753)	Data 0.001 (0.001)	Loss 2.8619 (2.7433)	Prec@1 33.594 (34.529)	Prec@5 63.281 (64.913)
Epoch: [27][10480/14090]	Time 0.758 (0.753)	Data 0.001 (0.001)	Loss 2.5144 (2.7433)	Prec@1 35.156 (34.528)	Prec@5 72.656 (64.915)
Epoch: [27][10490/14090]	Time 0.763 (0.753)	Data 0.001 (0.001)	Loss 2.5858 (2.7433)	Prec@1 37.500 (34.528)	Prec@5 69.531 (64.914)
Epoch: [27][10500/14090]	Time 0.764 (0.753)	Data 0.001 (0.001)	Loss 2.7461 (2.7433)	Prec@1 35.938 (34.526)	Prec@5 54.688 (64.913)
Epoch: [27][10510/14090]	Time 0.730 (0.753)	Data 0.001 (0.001)	Loss 2.8347 (2.7434)	Prec@1 34.375 (34.525)	Prec@5 64.062 (64.913)
Epoch: [27][10520/14090]	Time 0.757 (0.753)	Data 0.001 (0.001)	Loss 2.6087 (2.7435)	Prec@1 35.938 (34.523)	Prec@5 67.188 (64.911)
Epoch: [27][10530/14090]	Time 0.732 (0.753)	Data 0.001 (0.001)	Loss 2.7747 (2.7433)	Prec@1 35.156 (34.526)	Prec@5 64.062 (64.913)
Epoch: [27][10540/14090]	Time 0.730 (0.753)	Data 0.001 (0.001)	Loss 3.0991 (2.7434)	Prec@1 24.219 (34.524)	Prec@5 60.938 (64.913)
Epoch: [27][10550/14090]	Time 0.765 (0.753)	Data 0.001 (0.001)	Loss 2.6927 (2.7434)	Prec@1 41.406 (34.522)	Prec@5 66.406 (64.911)
Epoch: [27][10560/14090]	Time 0.738 (0.753)	Data 0.001 (0.001)	Loss 2.8855 (2.7434)	Prec@1 34.375 (34.522)	Prec@5 63.281 (64.910)
Epoch: [27][10570/14090]	Time 0.739 (0.753)	Data 0.001 (0.001)	Loss 2.7180 (2.7434)	Prec@1 31.250 (34.521)	Prec@5 66.406 (64.910)
Epoch: [27][10580/14090]	Time 0.721 (0.753)	Data 0.001 (0.001)	Loss 2.7694 (2.7434)	Prec@1 37.500 (34.521)	Prec@5 64.062 (64.910)
Epoch: [27][10590/14090]	Time 0.747 (0.753)	Data 0.001 (0.001)	Loss 2.6452 (2.7434)	Prec@1 32.812 (34.520)	Prec@5 67.969 (64.910)
Epoch: [27][10600/14090]	Time 0.793 (0.753)	Data 0.001 (0.001)	Loss 2.7119 (2.7434)	Prec@1 35.938 (34.521)	Prec@5 60.156 (64.910)
Epoch: [27][10610/14090]	Time 0.748 (0.753)	Data 0.001 (0.001)	Loss 2.6316 (2.7433)	Prec@1 35.938 (34.521)	Prec@5 68.750 (64.910)
Epoch: [27][10620/14090]	Time 0.740 (0.753)	Data 0.001 (0.001)	Loss 3.0499 (2.7434)	Prec@1 32.812 (34.519)	Prec@5 58.594 (64.908)
Epoch: [27][10630/14090]	Time 0.744 (0.753)	Data 0.001 (0.001)	Loss 2.9472 (2.7435)	Prec@1 32.031 (34.517)	Prec@5 60.156 (64.906)
Epoch: [27][10640/14090]	Time 0.750 (0.753)	Data 0.001 (0.001)	Loss 2.9721 (2.7435)	Prec@1 34.375 (34.517)	Prec@5 60.156 (64.905)
Epoch: [27][10650/14090]	Time 0.769 (0.753)	Data 0.001 (0.001)	Loss 2.7968 (2.7435)	Prec@1 33.594 (34.518)	Prec@5 63.281 (64.906)
Epoch: [27][10660/14090]	Time 0.729 (0.753)	Data 0.001 (0.001)	Loss 3.0591 (2.7435)	Prec@1 32.031 (34.518)	Prec@5 59.375 (64.906)
Epoch: [27][10670/14090]	Time 0.753 (0.753)	Data 0.001 (0.001)	Loss 2.6782 (2.7434)	Prec@1 31.250 (34.518)	Prec@5 66.406 (64.907)
Epoch: [27][10680/14090]	Time 0.756 (0.753)	Data 0.001 (0.001)	Loss 2.3144 (2.7434)	Prec@1 37.500 (34.518)	Prec@5 70.312 (64.907)
Epoch: [27][10690/14090]	Time 0.734 (0.753)	Data 0.001 (0.001)	Loss 2.5879 (2.7435)	Prec@1 38.281 (34.517)	Prec@5 71.094 (64.907)
Epoch: [27][10700/14090]	Time 0.782 (0.753)	Data 0.001 (0.001)	Loss 2.8527 (2.7435)	Prec@1 34.375 (34.519)	Prec@5 63.281 (64.907)
Epoch: [27][10710/14090]	Time 0.756 (0.753)	Data 0.001 (0.001)	Loss 3.0375 (2.7434)	Prec@1 26.562 (34.519)	Prec@5 57.031 (64.909)
Epoch: [27][10720/14090]	Time 0.750 (0.753)	Data 0.001 (0.001)	Loss 2.6693 (2.7434)	Prec@1 32.812 (34.520)	Prec@5 66.406 (64.910)
Epoch: [27][10730/14090]	Time 0.728 (0.753)	Data 0.001 (0.001)	Loss 2.7708 (2.7434)	Prec@1 30.469 (34.520)	Prec@5 58.594 (64.910)
Epoch: [27][10740/14090]	Time 0.730 (0.753)	Data 0.001 (0.001)	Loss 2.7903 (2.7433)	Prec@1 28.906 (34.521)	Prec@5 65.625 (64.910)
Epoch: [27][10750/14090]	Time 0.766 (0.753)	Data 0.001 (0.001)	Loss 2.6221 (2.7432)	Prec@1 34.375 (34.523)	Prec@5 73.438 (64.913)
Epoch: [27][10760/14090]	Time 0.786 (0.753)	Data 0.001 (0.001)	Loss 2.8561 (2.7432)	Prec@1 31.250 (34.523)	Prec@5 64.844 (64.914)
Epoch: [27][10770/14090]	Time 0.810 (0.753)	Data 0.001 (0.001)	Loss 2.7283 (2.7432)	Prec@1 36.719 (34.525)	Prec@5 64.844 (64.915)
Epoch: [27][10780/14090]	Time 0.764 (0.753)	Data 0.001 (0.001)	Loss 2.7893 (2.7432)	Prec@1 30.469 (34.523)	Prec@5 61.719 (64.913)
Epoch: [27][10790/14090]	Time 0.784 (0.753)	Data 0.001 (0.001)	Loss 2.8267 (2.7431)	Prec@1 39.844 (34.525)	Prec@5 67.969 (64.915)
Epoch: [27][10800/14090]	Time 0.729 (0.753)	Data 0.001 (0.001)	Loss 2.8365 (2.7432)	Prec@1 32.031 (34.524)	Prec@5 64.844 (64.917)
Epoch: [27][10810/14090]	Time 0.755 (0.753)	Data 0.001 (0.001)	Loss 3.0254 (2.7432)	Prec@1 33.594 (34.523)	Prec@5 57.031 (64.915)
Epoch: [27][10820/14090]	Time 0.765 (0.753)	Data 0.001 (0.001)	Loss 2.7215 (2.7432)	Prec@1 35.938 (34.522)	Prec@5 65.625 (64.916)
Epoch: [27][10830/14090]	Time 0.740 (0.753)	Data 0.001 (0.001)	Loss 2.6451 (2.7432)	Prec@1 39.062 (34.522)	Prec@5 66.406 (64.916)
Epoch: [27][10840/14090]	Time 0.770 (0.753)	Data 0.003 (0.001)	Loss 2.5367 (2.7432)	Prec@1 37.500 (34.521)	Prec@5 70.312 (64.916)
Epoch: [27][10850/14090]	Time 0.724 (0.753)	Data 0.001 (0.001)	Loss 2.7934 (2.7432)	Prec@1 34.375 (34.521)	Prec@5 64.844 (64.916)
Epoch: [27][10860/14090]	Time 0.734 (0.753)	Data 0.001 (0.001)	Loss 2.7826 (2.7432)	Prec@1 37.500 (34.521)	Prec@5 61.719 (64.916)
Epoch: [27][10870/14090]	Time 0.728 (0.753)	Data 0.003 (0.001)	Loss 2.8362 (2.7431)	Prec@1 32.812 (34.521)	Prec@5 67.969 (64.918)
Epoch: [27][10880/14090]	Time 0.773 (0.753)	Data 0.002 (0.001)	Loss 2.6807 (2.7432)	Prec@1 33.594 (34.521)	Prec@5 64.844 (64.917)
Epoch: [27][10890/14090]	Time 0.739 (0.753)	Data 0.001 (0.001)	Loss 2.7019 (2.7431)	Prec@1 30.469 (34.520)	Prec@5 65.625 (64.918)
Epoch: [27][10900/14090]	Time 0.738 (0.753)	Data 0.001 (0.001)	Loss 2.7107 (2.7431)	Prec@1 32.812 (34.520)	Prec@5 67.188 (64.918)
Epoch: [27][10910/14090]	Time 0.743 (0.753)	Data 0.001 (0.001)	Loss 2.8665 (2.7432)	Prec@1 28.906 (34.518)	Prec@5 58.594 (64.917)
Epoch: [27][10920/14090]	Time 0.748 (0.753)	Data 0.001 (0.001)	Loss 2.8186 (2.7433)	Prec@1 30.469 (34.516)	Prec@5 65.625 (64.916)
Epoch: [27][10930/14090]	Time 0.866 (0.753)	Data 0.001 (0.001)	Loss 2.7030 (2.7433)	Prec@1 30.469 (34.515)	Prec@5 64.844 (64.916)
Epoch: [27][10940/14090]	Time 0.731 (0.753)	Data 0.001 (0.001)	Loss 2.9496 (2.7434)	Prec@1 28.906 (34.513)	Prec@5 62.500 (64.915)
Epoch: [27][10950/14090]	Time 0.775 (0.753)	Data 0.001 (0.001)	Loss 3.0277 (2.7433)	Prec@1 33.594 (34.513)	Prec@5 63.281 (64.915)
Epoch: [27][10960/14090]	Time 0.736 (0.753)	Data 0.001 (0.001)	Loss 2.9121 (2.7434)	Prec@1 33.594 (34.513)	Prec@5 58.594 (64.913)
Epoch: [27][10970/14090]	Time 0.752 (0.753)	Data 0.001 (0.001)	Loss 2.8286 (2.7435)	Prec@1 34.375 (34.511)	Prec@5 67.188 (64.913)
Epoch: [27][10980/14090]	Time 0.765 (0.753)	Data 0.001 (0.001)	Loss 2.6651 (2.7435)	Prec@1 35.938 (34.512)	Prec@5 70.312 (64.912)
Epoch: [27][10990/14090]	Time 0.757 (0.753)	Data 0.001 (0.001)	Loss 2.6499 (2.7434)	Prec@1 39.062 (34.514)	Prec@5 67.188 (64.912)
Epoch: [27][11000/14090]	Time 0.730 (0.753)	Data 0.002 (0.001)	Loss 2.8315 (2.7434)	Prec@1 35.156 (34.514)	Prec@5 57.812 (64.912)
Epoch: [27][11010/14090]	Time 0.747 (0.753)	Data 0.001 (0.001)	Loss 2.8317 (2.7435)	Prec@1 31.250 (34.513)	Prec@5 62.500 (64.910)
Epoch: [27][11020/14090]	Time 0.740 (0.753)	Data 0.001 (0.001)	Loss 2.7285 (2.7435)	Prec@1 35.156 (34.514)	Prec@5 71.094 (64.911)
Epoch: [27][11030/14090]	Time 0.772 (0.753)	Data 0.001 (0.001)	Loss 3.0767 (2.7435)	Prec@1 28.125 (34.513)	Prec@5 51.562 (64.910)
Epoch: [27][11040/14090]	Time 0.740 (0.753)	Data 0.001 (0.001)	Loss 2.9639 (2.7435)	Prec@1 33.594 (34.512)	Prec@5 64.062 (64.910)
Epoch: [27][11050/14090]	Time 0.746 (0.753)	Data 0.001 (0.001)	Loss 2.5429 (2.7435)	Prec@1 38.281 (34.512)	Prec@5 66.406 (64.911)
Epoch: [27][11060/14090]	Time 0.767 (0.753)	Data 0.001 (0.001)	Loss 2.6151 (2.7436)	Prec@1 38.281 (34.509)	Prec@5 70.312 (64.910)
Epoch: [27][11070/14090]	Time 0.757 (0.753)	Data 0.001 (0.001)	Loss 2.7717 (2.7436)	Prec@1 34.375 (34.507)	Prec@5 67.969 (64.908)
Epoch: [27][11080/14090]	Time 0.738 (0.753)	Data 0.001 (0.001)	Loss 2.6553 (2.7437)	Prec@1 39.062 (34.506)	Prec@5 60.156 (64.906)
Epoch: [27][11090/14090]	Time 0.723 (0.753)	Data 0.001 (0.001)	Loss 2.9284 (2.7438)	Prec@1 36.719 (34.504)	Prec@5 62.500 (64.903)
Epoch: [27][11100/14090]	Time 0.733 (0.753)	Data 0.001 (0.001)	Loss 2.7011 (2.7438)	Prec@1 35.938 (34.505)	Prec@5 69.531 (64.904)
Epoch: [27][11110/14090]	Time 0.772 (0.753)	Data 0.001 (0.001)	Loss 2.5297 (2.7437)	Prec@1 35.156 (34.505)	Prec@5 71.094 (64.905)
Epoch: [27][11120/14090]	Time 0.728 (0.753)	Data 0.002 (0.001)	Loss 2.5316 (2.7437)	Prec@1 38.281 (34.505)	Prec@5 75.000 (64.906)
Epoch: [27][11130/14090]	Time 0.746 (0.753)	Data 0.001 (0.001)	Loss 2.8106 (2.7437)	Prec@1 35.156 (34.503)	Prec@5 61.719 (64.904)
Epoch: [27][11140/14090]	Time 0.753 (0.753)	Data 0.001 (0.001)	Loss 3.1555 (2.7438)	Prec@1 27.344 (34.503)	Prec@5 59.375 (64.904)
Epoch: [27][11150/14090]	Time 0.737 (0.753)	Data 0.001 (0.001)	Loss 2.6049 (2.7439)	Prec@1 34.375 (34.502)	Prec@5 67.188 (64.902)
Epoch: [27][11160/14090]	Time 0.734 (0.753)	Data 0.001 (0.001)	Loss 2.9638 (2.7439)	Prec@1 28.906 (34.502)	Prec@5 60.156 (64.903)
Epoch: [27][11170/14090]	Time 0.738 (0.753)	Data 0.001 (0.001)	Loss 2.7534 (2.7439)	Prec@1 35.156 (34.503)	Prec@5 59.375 (64.902)
Epoch: [27][11180/14090]	Time 0.755 (0.753)	Data 0.001 (0.001)	Loss 2.5915 (2.7438)	Prec@1 37.500 (34.504)	Prec@5 65.625 (64.903)
Epoch: [27][11190/14090]	Time 0.746 (0.753)	Data 0.002 (0.001)	Loss 2.5645 (2.7438)	Prec@1 38.281 (34.507)	Prec@5 67.188 (64.903)
Epoch: [27][11200/14090]	Time 0.748 (0.753)	Data 0.001 (0.001)	Loss 2.5769 (2.7437)	Prec@1 36.719 (34.508)	Prec@5 64.062 (64.904)
Epoch: [27][11210/14090]	Time 0.858 (0.753)	Data 0.002 (0.001)	Loss 2.6552 (2.7437)	Prec@1 35.156 (34.507)	Prec@5 68.750 (64.903)
Epoch: [27][11220/14090]	Time 0.740 (0.753)	Data 0.001 (0.001)	Loss 2.7058 (2.7436)	Prec@1 35.938 (34.507)	Prec@5 67.969 (64.904)
Epoch: [27][11230/14090]	Time 0.775 (0.753)	Data 0.001 (0.001)	Loss 2.6730 (2.7437)	Prec@1 33.594 (34.506)	Prec@5 71.094 (64.903)
Epoch: [27][11240/14090]	Time 0.739 (0.753)	Data 0.001 (0.001)	Loss 2.8020 (2.7437)	Prec@1 34.375 (34.506)	Prec@5 57.812 (64.901)
Epoch: [27][11250/14090]	Time 0.756 (0.753)	Data 0.001 (0.001)	Loss 2.8094 (2.7437)	Prec@1 32.812 (34.507)	Prec@5 69.531 (64.901)
Epoch: [27][11260/14090]	Time 0.783 (0.753)	Data 0.001 (0.001)	Loss 2.6289 (2.7437)	Prec@1 35.156 (34.506)	Prec@5 65.625 (64.903)
Epoch: [27][11270/14090]	Time 0.746 (0.753)	Data 0.001 (0.001)	Loss 3.0205 (2.7438)	Prec@1 23.438 (34.505)	Prec@5 59.375 (64.902)
Epoch: [27][11280/14090]	Time 0.736 (0.753)	Data 0.001 (0.001)	Loss 3.0456 (2.7438)	Prec@1 28.125 (34.504)	Prec@5 60.938 (64.901)
Epoch: [27][11290/14090]	Time 0.742 (0.753)	Data 0.001 (0.001)	Loss 3.0658 (2.7440)	Prec@1 26.562 (34.502)	Prec@5 55.469 (64.898)
Epoch: [27][11300/14090]	Time 0.775 (0.753)	Data 0.001 (0.001)	Loss 2.9010 (2.7440)	Prec@1 31.250 (34.500)	Prec@5 62.500 (64.898)
Epoch: [27][11310/14090]	Time 0.745 (0.753)	Data 0.002 (0.001)	Loss 2.6509 (2.7440)	Prec@1 42.969 (34.499)	Prec@5 67.188 (64.897)
Epoch: [27][11320/14090]	Time 0.768 (0.753)	Data 0.001 (0.001)	Loss 2.6887 (2.7441)	Prec@1 36.719 (34.498)	Prec@5 66.406 (64.896)
Epoch: [27][11330/14090]	Time 0.756 (0.753)	Data 0.001 (0.001)	Loss 2.8960 (2.7441)	Prec@1 30.469 (34.497)	Prec@5 60.156 (64.897)
Epoch: [27][11340/14090]	Time 0.730 (0.753)	Data 0.001 (0.001)	Loss 2.7420 (2.7441)	Prec@1 30.469 (34.496)	Prec@5 64.062 (64.897)
Epoch: [27][11350/14090]	Time 0.759 (0.753)	Data 0.001 (0.001)	Loss 2.7113 (2.7440)	Prec@1 35.938 (34.498)	Prec@5 60.938 (64.898)
Epoch: [27][11360/14090]	Time 0.778 (0.753)	Data 0.001 (0.001)	Loss 2.9256 (2.7441)	Prec@1 28.906 (34.498)	Prec@5 67.969 (64.898)
Epoch: [27][11370/14090]	Time 0.746 (0.753)	Data 0.001 (0.001)	Loss 2.6100 (2.7440)	Prec@1 39.062 (34.498)	Prec@5 64.844 (64.900)
Epoch: [27][11380/14090]	Time 0.734 (0.753)	Data 0.001 (0.001)	Loss 2.6196 (2.7441)	Prec@1 33.594 (34.498)	Prec@5 67.969 (64.898)
Epoch: [27][11390/14090]	Time 0.805 (0.753)	Data 0.001 (0.001)	Loss 2.7392 (2.7441)	Prec@1 32.812 (34.498)	Prec@5 60.938 (64.899)
Epoch: [27][11400/14090]	Time 0.747 (0.753)	Data 0.001 (0.001)	Loss 2.9262 (2.7441)	Prec@1 34.375 (34.496)	Prec@5 64.844 (64.899)
Epoch: [27][11410/14090]	Time 0.759 (0.753)	Data 0.001 (0.001)	Loss 2.4083 (2.7441)	Prec@1 39.062 (34.497)	Prec@5 67.969 (64.898)
Epoch: [27][11420/14090]	Time 0.741 (0.753)	Data 0.001 (0.001)	Loss 2.9578 (2.7441)	Prec@1 28.125 (34.496)	Prec@5 63.281 (64.896)
Epoch: [27][11430/14090]	Time 0.728 (0.753)	Data 0.001 (0.001)	Loss 2.6259 (2.7441)	Prec@1 35.938 (34.496)	Prec@5 62.500 (64.896)
Epoch: [27][11440/14090]	Time 0.753 (0.753)	Data 0.001 (0.001)	Loss 2.6330 (2.7441)	Prec@1 39.844 (34.497)	Prec@5 65.625 (64.896)
Epoch: [27][11450/14090]	Time 0.760 (0.753)	Data 0.001 (0.001)	Loss 3.3118 (2.7441)	Prec@1 25.781 (34.496)	Prec@5 57.812 (64.896)
Epoch: [27][11460/14090]	Time 0.776 (0.753)	Data 0.001 (0.001)	Loss 2.7277 (2.7441)	Prec@1 39.844 (34.497)	Prec@5 64.062 (64.897)
Epoch: [27][11470/14090]	Time 0.726 (0.753)	Data 0.001 (0.001)	Loss 2.8088 (2.7440)	Prec@1 33.594 (34.496)	Prec@5 58.594 (64.897)
Epoch: [27][11480/14090]	Time 0.734 (0.753)	Data 0.001 (0.001)	Loss 2.6629 (2.7440)	Prec@1 34.375 (34.497)	Prec@5 67.969 (64.899)
Epoch: [27][11490/14090]	Time 0.727 (0.753)	Data 0.001 (0.001)	Loss 2.4519 (2.7439)	Prec@1 32.031 (34.497)	Prec@5 70.312 (64.901)
Epoch: [27][11500/14090]	Time 0.746 (0.753)	Data 0.001 (0.001)	Loss 2.8188 (2.7440)	Prec@1 30.469 (34.495)	Prec@5 66.406 (64.901)
Epoch: [27][11510/14090]	Time 0.753 (0.753)	Data 0.001 (0.001)	Loss 2.6890 (2.7440)	Prec@1 35.156 (34.494)	Prec@5 63.281 (64.900)
Epoch: [27][11520/14090]	Time 0.790 (0.753)	Data 0.001 (0.001)	Loss 2.8378 (2.7440)	Prec@1 34.375 (34.494)	Prec@5 62.500 (64.899)
Epoch: [27][11530/14090]	Time 0.736 (0.753)	Data 0.001 (0.001)	Loss 2.5759 (2.7440)	Prec@1 32.812 (34.492)	Prec@5 70.312 (64.898)
Epoch: [27][11540/14090]	Time 0.758 (0.753)	Data 0.001 (0.001)	Loss 2.8327 (2.7440)	Prec@1 33.594 (34.493)	Prec@5 58.594 (64.898)
Epoch: [27][11550/14090]	Time 0.761 (0.753)	Data 0.001 (0.001)	Loss 2.7555 (2.7441)	Prec@1 35.938 (34.493)	Prec@5 63.281 (64.896)
Epoch: [27][11560/14090]	Time 0.801 (0.753)	Data 0.001 (0.001)	Loss 2.4983 (2.7441)	Prec@1 35.156 (34.494)	Prec@5 67.969 (64.897)
Epoch: [27][11570/14090]	Time 0.777 (0.753)	Data 0.001 (0.001)	Loss 2.6067 (2.7440)	Prec@1 41.406 (34.496)	Prec@5 69.531 (64.896)
Epoch: [27][11580/14090]	Time 0.743 (0.753)	Data 0.001 (0.001)	Loss 2.6112 (2.7441)	Prec@1 36.719 (34.495)	Prec@5 69.531 (64.896)
Epoch: [27][11590/14090]	Time 0.784 (0.753)	Data 0.001 (0.001)	Loss 2.8922 (2.7441)	Prec@1 32.812 (34.494)	Prec@5 64.844 (64.895)
Epoch: [27][11600/14090]	Time 0.734 (0.753)	Data 0.001 (0.001)	Loss 2.7963 (2.7442)	Prec@1 35.938 (34.494)	Prec@5 64.844 (64.895)
Epoch: [27][11610/14090]	Time 0.763 (0.753)	Data 0.001 (0.001)	Loss 2.8648 (2.7441)	Prec@1 34.375 (34.496)	Prec@5 61.719 (64.897)
Epoch: [27][11620/14090]	Time 0.742 (0.753)	Data 0.001 (0.001)	Loss 2.6211 (2.7442)	Prec@1 35.938 (34.497)	Prec@5 66.406 (64.896)
Epoch: [27][11630/14090]	Time 0.857 (0.753)	Data 0.001 (0.001)	Loss 2.8476 (2.7441)	Prec@1 35.156 (34.497)	Prec@5 60.938 (64.896)
Epoch: [27][11640/14090]	Time 0.730 (0.753)	Data 0.001 (0.001)	Loss 2.5490 (2.7442)	Prec@1 39.844 (34.496)	Prec@5 68.750 (64.895)
Epoch: [27][11650/14090]	Time 0.772 (0.753)	Data 0.002 (0.001)	Loss 2.9170 (2.7442)	Prec@1 30.469 (34.497)	Prec@5 64.844 (64.895)
Epoch: [27][11660/14090]	Time 0.746 (0.753)	Data 0.001 (0.001)	Loss 2.8316 (2.7442)	Prec@1 39.062 (34.497)	Prec@5 59.375 (64.895)
Epoch: [27][11670/14090]	Time 0.737 (0.753)	Data 0.001 (0.001)	Loss 2.8447 (2.7441)	Prec@1 31.250 (34.500)	Prec@5 63.281 (64.896)
Epoch: [27][11680/14090]	Time 0.755 (0.753)	Data 0.001 (0.001)	Loss 2.6955 (2.7441)	Prec@1 34.375 (34.500)	Prec@5 64.844 (64.896)
Epoch: [27][11690/14090]	Time 0.782 (0.753)	Data 0.001 (0.001)	Loss 3.1524 (2.7441)	Prec@1 28.125 (34.501)	Prec@5 56.250 (64.898)
Epoch: [27][11700/14090]	Time 0.728 (0.753)	Data 0.001 (0.001)	Loss 2.7752 (2.7441)	Prec@1 36.719 (34.500)	Prec@5 61.719 (64.897)
Epoch: [27][11710/14090]	Time 0.778 (0.753)	Data 0.001 (0.001)	Loss 2.7319 (2.7441)	Prec@1 39.062 (34.500)	Prec@5 66.406 (64.895)
Epoch: [27][11720/14090]	Time 0.740 (0.753)	Data 0.001 (0.001)	Loss 2.6266 (2.7442)	Prec@1 40.625 (34.498)	Prec@5 67.188 (64.894)
Epoch: [27][11730/14090]	Time 0.769 (0.753)	Data 0.001 (0.001)	Loss 2.6597 (2.7442)	Prec@1 35.156 (34.499)	Prec@5 69.531 (64.895)
Epoch: [27][11740/14090]	Time 0.733 (0.753)	Data 0.001 (0.001)	Loss 2.6408 (2.7442)	Prec@1 35.156 (34.500)	Prec@5 60.156 (64.895)
Epoch: [27][11750/14090]	Time 0.771 (0.753)	Data 0.001 (0.001)	Loss 2.8362 (2.7442)	Prec@1 28.906 (34.498)	Prec@5 59.375 (64.894)
Epoch: [27][11760/14090]	Time 0.754 (0.753)	Data 0.001 (0.001)	Loss 2.4904 (2.7442)	Prec@1 39.062 (34.498)	Prec@5 70.312 (64.895)
Epoch: [27][11770/14090]	Time 0.843 (0.753)	Data 0.001 (0.001)	Loss 2.7028 (2.7443)	Prec@1 41.406 (34.497)	Prec@5 65.625 (64.894)
Epoch: [27][11780/14090]	Time 0.722 (0.753)	Data 0.001 (0.001)	Loss 2.7143 (2.7443)	Prec@1 41.406 (34.497)	Prec@5 66.406 (64.895)
Epoch: [27][11790/14090]	Time 0.729 (0.753)	Data 0.001 (0.001)	Loss 3.0495 (2.7443)	Prec@1 31.250 (34.497)	Prec@5 62.500 (64.895)
Epoch: [27][11800/14090]	Time 0.765 (0.753)	Data 0.001 (0.001)	Loss 2.4121 (2.7443)	Prec@1 37.500 (34.498)	Prec@5 70.312 (64.896)
Epoch: [27][11810/14090]	Time 0.727 (0.753)	Data 0.001 (0.001)	Loss 2.7142 (2.7442)	Prec@1 41.406 (34.500)	Prec@5 64.844 (64.897)
Epoch: [27][11820/14090]	Time 0.762 (0.753)	Data 0.001 (0.001)	Loss 2.7702 (2.7442)	Prec@1 32.812 (34.501)	Prec@5 63.281 (64.899)
Epoch: [27][11830/14090]	Time 0.753 (0.753)	Data 0.001 (0.001)	Loss 2.7017 (2.7441)	Prec@1 35.156 (34.500)	Prec@5 67.969 (64.900)
Epoch: [27][11840/14090]	Time 0.776 (0.753)	Data 0.001 (0.001)	Loss 2.4019 (2.7441)	Prec@1 39.844 (34.501)	Prec@5 71.875 (64.902)
Epoch: [27][11850/14090]	Time 0.741 (0.753)	Data 0.001 (0.001)	Loss 2.7366 (2.7441)	Prec@1 32.031 (34.501)	Prec@5 61.719 (64.902)
Epoch: [27][11860/14090]	Time 0.768 (0.753)	Data 0.001 (0.001)	Loss 3.0261 (2.7441)	Prec@1 28.906 (34.501)	Prec@5 53.125 (64.903)
Epoch: [27][11870/14090]	Time 0.758 (0.753)	Data 0.001 (0.001)	Loss 2.7586 (2.7440)	Prec@1 35.156 (34.500)	Prec@5 64.062 (64.903)
Epoch: [27][11880/14090]	Time 0.753 (0.753)	Data 0.001 (0.001)	Loss 2.5430 (2.7440)	Prec@1 34.375 (34.500)	Prec@5 67.969 (64.902)
Epoch: [27][11890/14090]	Time 0.735 (0.753)	Data 0.001 (0.001)	Loss 2.5411 (2.7440)	Prec@1 38.281 (34.499)	Prec@5 65.625 (64.903)
Epoch: [27][11900/14090]	Time 0.739 (0.753)	Data 0.001 (0.001)	Loss 2.7547 (2.7440)	Prec@1 38.281 (34.500)	Prec@5 66.406 (64.904)
Epoch: [27][11910/14090]	Time 0.770 (0.753)	Data 0.001 (0.001)	Loss 2.6012 (2.7440)	Prec@1 39.844 (34.500)	Prec@5 67.188 (64.905)
Epoch: [27][11920/14090]	Time 0.746 (0.753)	Data 0.001 (0.001)	Loss 2.8939 (2.7440)	Prec@1 32.031 (34.500)	Prec@5 60.156 (64.903)
Epoch: [27][11930/14090]	Time 0.740 (0.753)	Data 0.001 (0.001)	Loss 2.7472 (2.7440)	Prec@1 30.469 (34.500)	Prec@5 67.969 (64.902)
Epoch: [27][11940/14090]	Time 0.754 (0.753)	Data 0.001 (0.001)	Loss 3.0708 (2.7440)	Prec@1 28.125 (34.500)	Prec@5 57.812 (64.902)
Epoch: [27][11950/14090]	Time 0.761 (0.753)	Data 0.001 (0.001)	Loss 2.7887 (2.7440)	Prec@1 38.281 (34.502)	Prec@5 69.531 (64.902)
Epoch: [27][11960/14090]	Time 0.743 (0.753)	Data 0.001 (0.001)	Loss 2.6481 (2.7440)	Prec@1 37.500 (34.502)	Prec@5 70.312 (64.903)
Epoch: [27][11970/14090]	Time 0.732 (0.753)	Data 0.001 (0.001)	Loss 2.5700 (2.7440)	Prec@1 37.500 (34.502)	Prec@5 71.094 (64.905)
Epoch: [27][11980/14090]	Time 0.740 (0.753)	Data 0.001 (0.001)	Loss 2.7194 (2.7440)	Prec@1 31.250 (34.503)	Prec@5 60.156 (64.905)
Epoch: [27][11990/14090]	Time 0.722 (0.753)	Data 0.001 (0.001)	Loss 2.7734 (2.7439)	Prec@1 37.500 (34.506)	Prec@5 64.844 (64.906)
Epoch: [27][12000/14090]	Time 0.730 (0.753)	Data 0.001 (0.001)	Loss 3.0675 (2.7440)	Prec@1 27.344 (34.504)	Prec@5 56.250 (64.904)
Epoch: [27][12010/14090]	Time 0.764 (0.753)	Data 0.001 (0.001)	Loss 2.5474 (2.7441)	Prec@1 36.719 (34.503)	Prec@5 65.625 (64.903)
Epoch: [27][12020/14090]	Time 0.737 (0.753)	Data 0.001 (0.001)	Loss 2.5526 (2.7441)	Prec@1 39.844 (34.504)	Prec@5 68.750 (64.902)
Epoch: [27][12030/14090]	Time 0.761 (0.753)	Data 0.001 (0.001)	Loss 2.6465 (2.7441)	Prec@1 36.719 (34.503)	Prec@5 69.531 (64.901)
Epoch: [27][12040/14090]	Time 0.737 (0.753)	Data 0.001 (0.001)	Loss 2.5979 (2.7440)	Prec@1 37.500 (34.504)	Prec@5 73.438 (64.903)
Epoch: [27][12050/14090]	Time 0.754 (0.753)	Data 0.003 (0.001)	Loss 2.6261 (2.7440)	Prec@1 39.062 (34.504)	Prec@5 68.750 (64.904)
Epoch: [27][12060/14090]	Time 0.730 (0.753)	Data 0.001 (0.001)	Loss 2.7176 (2.7439)	Prec@1 35.156 (34.505)	Prec@5 60.938 (64.905)
Epoch: [27][12070/14090]	Time 0.729 (0.753)	Data 0.001 (0.001)	Loss 2.7485 (2.7439)	Prec@1 34.375 (34.505)	Prec@5 64.844 (64.905)
Epoch: [27][12080/14090]	Time 0.781 (0.753)	Data 0.001 (0.001)	Loss 2.7138 (2.7439)	Prec@1 35.938 (34.506)	Prec@5 62.500 (64.905)
Epoch: [27][12090/14090]	Time 0.738 (0.753)	Data 0.001 (0.001)	Loss 2.5859 (2.7439)	Prec@1 35.156 (34.507)	Prec@5 69.531 (64.907)
Epoch: [27][12100/14090]	Time 0.748 (0.753)	Data 0.001 (0.001)	Loss 2.8620 (2.7439)	Prec@1 32.812 (34.508)	Prec@5 66.406 (64.907)
Epoch: [27][12110/14090]	Time 0.772 (0.753)	Data 0.001 (0.001)	Loss 2.7509 (2.7439)	Prec@1 40.625 (34.508)	Prec@5 62.500 (64.909)
Epoch: [27][12120/14090]	Time 0.832 (0.753)	Data 0.001 (0.001)	Loss 2.7789 (2.7439)	Prec@1 36.719 (34.507)	Prec@5 63.281 (64.909)
Epoch: [27][12130/14090]	Time 0.741 (0.753)	Data 0.001 (0.001)	Loss 2.5880 (2.7439)	Prec@1 41.406 (34.508)	Prec@5 65.625 (64.910)
Epoch: [27][12140/14090]	Time 0.759 (0.753)	Data 0.001 (0.001)	Loss 2.8046 (2.7438)	Prec@1 32.812 (34.508)	Prec@5 60.938 (64.909)
Epoch: [27][12150/14090]	Time 0.780 (0.753)	Data 0.001 (0.001)	Loss 2.9220 (2.7438)	Prec@1 35.156 (34.509)	Prec@5 57.812 (64.909)
Epoch: [27][12160/14090]	Time 0.743 (0.753)	Data 0.001 (0.001)	Loss 2.5688 (2.7438)	Prec@1 37.500 (34.509)	Prec@5 69.531 (64.910)
Epoch: [27][12170/14090]	Time 0.759 (0.753)	Data 0.001 (0.001)	Loss 2.4200 (2.7438)	Prec@1 39.062 (34.509)	Prec@5 70.312 (64.911)
Epoch: [27][12180/14090]	Time 0.771 (0.753)	Data 0.001 (0.001)	Loss 2.9792 (2.7438)	Prec@1 29.688 (34.510)	Prec@5 59.375 (64.910)
Epoch: [27][12190/14090]	Time 0.764 (0.753)	Data 0.001 (0.001)	Loss 2.9043 (2.7438)	Prec@1 27.344 (34.511)	Prec@5 57.812 (64.911)
Epoch: [27][12200/14090]	Time 0.748 (0.753)	Data 0.001 (0.001)	Loss 2.7449 (2.7438)	Prec@1 35.938 (34.510)	Prec@5 69.531 (64.911)
Epoch: [27][12210/14090]	Time 0.723 (0.753)	Data 0.001 (0.001)	Loss 2.8091 (2.7438)	Prec@1 30.469 (34.512)	Prec@5 65.625 (64.912)
Epoch: [27][12220/14090]	Time 0.752 (0.753)	Data 0.001 (0.001)	Loss 2.8411 (2.7438)	Prec@1 37.500 (34.514)	Prec@5 62.500 (64.912)
Epoch: [27][12230/14090]	Time 0.735 (0.753)	Data 0.001 (0.001)	Loss 2.6468 (2.7438)	Prec@1 35.938 (34.515)	Prec@5 62.500 (64.911)
Epoch: [27][12240/14090]	Time 0.730 (0.753)	Data 0.001 (0.001)	Loss 3.0278 (2.7438)	Prec@1 28.906 (34.514)	Prec@5 60.156 (64.912)
Epoch: [27][12250/14090]	Time 0.775 (0.753)	Data 0.001 (0.001)	Loss 2.7375 (2.7437)	Prec@1 29.688 (34.514)	Prec@5 67.188 (64.912)
Epoch: [27][12260/14090]	Time 0.751 (0.753)	Data 0.001 (0.001)	Loss 2.7174 (2.7438)	Prec@1 35.938 (34.514)	Prec@5 67.969 (64.911)
Epoch: [27][12270/14090]	Time 0.745 (0.753)	Data 0.001 (0.001)	Loss 2.6084 (2.7438)	Prec@1 34.375 (34.514)	Prec@5 67.969 (64.912)
Epoch: [27][12280/14090]	Time 0.728 (0.753)	Data 0.001 (0.001)	Loss 2.8727 (2.7439)	Prec@1 26.562 (34.511)	Prec@5 60.156 (64.911)
Epoch: [27][12290/14090]	Time 0.769 (0.753)	Data 0.001 (0.001)	Loss 2.5321 (2.7438)	Prec@1 39.062 (34.511)	Prec@5 68.750 (64.912)
Epoch: [27][12300/14090]	Time 0.733 (0.753)	Data 0.001 (0.001)	Loss 2.6139 (2.7438)	Prec@1 41.406 (34.510)	Prec@5 70.312 (64.913)
Epoch: [27][12310/14090]	Time 0.770 (0.753)	Data 0.001 (0.001)	Loss 2.4706 (2.7439)	Prec@1 40.625 (34.508)	Prec@5 69.531 (64.911)
Epoch: [27][12320/14090]	Time 0.736 (0.753)	Data 0.001 (0.001)	Loss 2.8059 (2.7439)	Prec@1 31.250 (34.507)	Prec@5 61.719 (64.910)
Epoch: [27][12330/14090]	Time 0.765 (0.753)	Data 0.001 (0.001)	Loss 2.6949 (2.7440)	Prec@1 43.750 (34.507)	Prec@5 66.406 (64.909)
Epoch: [27][12340/14090]	Time 0.775 (0.753)	Data 0.001 (0.001)	Loss 2.6725 (2.7440)	Prec@1 38.281 (34.508)	Prec@5 66.406 (64.909)
Epoch: [27][12350/14090]	Time 0.735 (0.753)	Data 0.001 (0.001)	Loss 2.5014 (2.7440)	Prec@1 35.938 (34.508)	Prec@5 71.094 (64.910)
Epoch: [27][12360/14090]	Time 0.781 (0.753)	Data 0.001 (0.001)	Loss 2.7301 (2.7440)	Prec@1 39.062 (34.509)	Prec@5 62.500 (64.910)
Epoch: [27][12370/14090]	Time 0.751 (0.753)	Data 0.001 (0.001)	Loss 2.4646 (2.7440)	Prec@1 42.188 (34.510)	Prec@5 67.969 (64.909)
Epoch: [27][12380/14090]	Time 0.747 (0.753)	Data 0.001 (0.001)	Loss 2.6602 (2.7440)	Prec@1 35.156 (34.509)	Prec@5 64.844 (64.909)
Epoch: [27][12390/14090]	Time 0.735 (0.753)	Data 0.001 (0.001)	Loss 2.6336 (2.7441)	Prec@1 33.594 (34.507)	Prec@5 63.281 (64.906)
Epoch: [27][12400/14090]	Time 0.762 (0.753)	Data 0.001 (0.001)	Loss 2.5003 (2.7441)	Prec@1 39.844 (34.506)	Prec@5 71.875 (64.906)
Epoch: [27][12410/14090]	Time 0.739 (0.753)	Data 0.001 (0.001)	Loss 3.1422 (2.7442)	Prec@1 22.656 (34.504)	Prec@5 54.688 (64.904)
Epoch: [27][12420/14090]	Time 0.752 (0.753)	Data 0.001 (0.001)	Loss 2.7730 (2.7442)	Prec@1 33.594 (34.504)	Prec@5 61.719 (64.902)
Epoch: [27][12430/14090]	Time 0.731 (0.753)	Data 0.001 (0.001)	Loss 2.6753 (2.7442)	Prec@1 29.688 (34.504)	Prec@5 67.969 (64.904)
Epoch: [27][12440/14090]	Time 0.721 (0.753)	Data 0.001 (0.001)	Loss 2.8095 (2.7441)	Prec@1 33.594 (34.505)	Prec@5 62.500 (64.905)
Epoch: [27][12450/14090]	Time 0.747 (0.753)	Data 0.001 (0.001)	Loss 2.8098 (2.7441)	Prec@1 35.156 (34.505)	Prec@5 63.281 (64.905)
Epoch: [27][12460/14090]	Time 0.746 (0.753)	Data 0.001 (0.001)	Loss 2.5688 (2.7441)	Prec@1 32.812 (34.504)	Prec@5 68.750 (64.905)
Epoch: [27][12470/14090]	Time 0.776 (0.753)	Data 0.001 (0.001)	Loss 2.9091 (2.7442)	Prec@1 32.812 (34.504)	Prec@5 60.938 (64.905)
Epoch: [27][12480/14090]	Time 0.731 (0.753)	Data 0.001 (0.001)	Loss 2.7930 (2.7441)	Prec@1 28.906 (34.504)	Prec@5 67.188 (64.906)
Epoch: [27][12490/14090]	Time 0.744 (0.753)	Data 0.001 (0.001)	Loss 2.7835 (2.7442)	Prec@1 32.812 (34.503)	Prec@5 63.281 (64.904)
Epoch: [27][12500/14090]	Time 0.734 (0.753)	Data 0.001 (0.001)	Loss 2.8310 (2.7442)	Prec@1 31.250 (34.502)	Prec@5 64.844 (64.904)
Epoch: [27][12510/14090]	Time 0.786 (0.753)	Data 0.001 (0.001)	Loss 2.6559 (2.7442)	Prec@1 39.062 (34.503)	Prec@5 67.188 (64.905)
Epoch: [27][12520/14090]	Time 0.727 (0.753)	Data 0.001 (0.001)	Loss 2.8902 (2.7442)	Prec@1 27.344 (34.504)	Prec@5 59.375 (64.903)
Epoch: [27][12530/14090]	Time 0.740 (0.753)	Data 0.001 (0.001)	Loss 2.7021 (2.7443)	Prec@1 33.594 (34.504)	Prec@5 64.062 (64.902)
Epoch: [27][12540/14090]	Time 0.750 (0.753)	Data 0.001 (0.001)	Loss 2.9982 (2.7442)	Prec@1 25.000 (34.505)	Prec@5 55.469 (64.902)
Epoch: [27][12550/14090]	Time 0.749 (0.753)	Data 0.001 (0.001)	Loss 2.8930 (2.7443)	Prec@1 35.156 (34.505)	Prec@5 64.062 (64.901)
Epoch: [27][12560/14090]	Time 0.729 (0.753)	Data 0.001 (0.001)	Loss 2.9515 (2.7443)	Prec@1 29.688 (34.504)	Prec@5 63.281 (64.901)
Epoch: [27][12570/14090]	Time 0.769 (0.753)	Data 0.001 (0.001)	Loss 2.7988 (2.7444)	Prec@1 31.250 (34.503)	Prec@5 60.938 (64.901)
Epoch: [27][12580/14090]	Time 0.749 (0.753)	Data 0.001 (0.001)	Loss 2.7627 (2.7444)	Prec@1 29.688 (34.503)	Prec@5 64.062 (64.902)
Epoch: [27][12590/14090]	Time 0.723 (0.753)	Data 0.001 (0.001)	Loss 2.5098 (2.7444)	Prec@1 37.500 (34.502)	Prec@5 70.312 (64.901)
Epoch: [27][12600/14090]	Time 0.776 (0.753)	Data 0.001 (0.001)	Loss 2.6512 (2.7444)	Prec@1 41.406 (34.504)	Prec@5 70.312 (64.901)
Epoch: [27][12610/14090]	Time 0.780 (0.753)	Data 0.001 (0.001)	Loss 2.9335 (2.7444)	Prec@1 32.031 (34.505)	Prec@5 63.281 (64.901)
Epoch: [27][12620/14090]	Time 0.742 (0.753)	Data 0.001 (0.001)	Loss 2.6535 (2.7444)	Prec@1 35.156 (34.504)	Prec@5 64.062 (64.900)
Epoch: [27][12630/14090]	Time 0.724 (0.753)	Data 0.001 (0.001)	Loss 2.6338 (2.7444)	Prec@1 42.188 (34.504)	Prec@5 63.281 (64.898)
Epoch: [27][12640/14090]	Time 0.743 (0.753)	Data 0.001 (0.001)	Loss 2.7858 (2.7444)	Prec@1 32.031 (34.503)	Prec@5 67.188 (64.899)
Epoch: [27][12650/14090]	Time 0.772 (0.753)	Data 0.001 (0.001)	Loss 2.7602 (2.7444)	Prec@1 33.594 (34.504)	Prec@5 67.969 (64.900)
Epoch: [27][12660/14090]	Time 0.759 (0.753)	Data 0.001 (0.001)	Loss 2.4983 (2.7444)	Prec@1 38.281 (34.505)	Prec@5 69.531 (64.898)
Epoch: [27][12670/14090]	Time 0.757 (0.753)	Data 0.001 (0.001)	Loss 2.2013 (2.7444)	Prec@1 46.875 (34.505)	Prec@5 78.125 (64.899)
Epoch: [27][12680/14090]	Time 0.721 (0.753)	Data 0.001 (0.001)	Loss 2.9106 (2.7445)	Prec@1 30.469 (34.503)	Prec@5 58.594 (64.897)
Epoch: [27][12690/14090]	Time 0.739 (0.753)	Data 0.001 (0.001)	Loss 2.6528 (2.7445)	Prec@1 36.719 (34.503)	Prec@5 66.406 (64.896)
Epoch: [27][12700/14090]	Time 0.751 (0.753)	Data 0.001 (0.001)	Loss 3.0118 (2.7445)	Prec@1 26.562 (34.502)	Prec@5 53.906 (64.896)
Epoch: [27][12710/14090]	Time 0.755 (0.753)	Data 0.001 (0.001)	Loss 2.2652 (2.7445)	Prec@1 43.750 (34.504)	Prec@5 75.000 (64.897)
Epoch: [27][12720/14090]	Time 0.732 (0.753)	Data 0.001 (0.001)	Loss 2.5575 (2.7445)	Prec@1 36.719 (34.504)	Prec@5 68.750 (64.897)
Epoch: [27][12730/14090]	Time 0.735 (0.753)	Data 0.001 (0.001)	Loss 3.1325 (2.7445)	Prec@1 21.875 (34.503)	Prec@5 52.344 (64.895)
Epoch: [27][12740/14090]	Time 0.749 (0.753)	Data 0.001 (0.001)	Loss 2.6309 (2.7445)	Prec@1 30.469 (34.503)	Prec@5 67.188 (64.895)
Epoch: [27][12750/14090]	Time 0.781 (0.753)	Data 0.001 (0.001)	Loss 2.5858 (2.7446)	Prec@1 34.375 (34.502)	Prec@5 64.844 (64.894)
Epoch: [27][12760/14090]	Time 0.753 (0.753)	Data 0.001 (0.001)	Loss 2.9939 (2.7447)	Prec@1 31.250 (34.501)	Prec@5 58.594 (64.892)
Epoch: [27][12770/14090]	Time 0.744 (0.753)	Data 0.001 (0.001)	Loss 2.5966 (2.7446)	Prec@1 32.812 (34.502)	Prec@5 71.875 (64.893)
Epoch: [27][12780/14090]	Time 0.737 (0.753)	Data 0.001 (0.001)	Loss 2.7031 (2.7446)	Prec@1 30.469 (34.501)	Prec@5 67.188 (64.894)
Epoch: [27][12790/14090]	Time 0.753 (0.753)	Data 0.001 (0.001)	Loss 2.9633 (2.7446)	Prec@1 34.375 (34.501)	Prec@5 64.062 (64.894)
Epoch: [27][12800/14090]	Time 0.732 (0.753)	Data 0.001 (0.001)	Loss 2.7501 (2.7446)	Prec@1 31.250 (34.501)	Prec@5 68.750 (64.894)
Epoch: [27][12810/14090]	Time 0.759 (0.753)	Data 0.001 (0.001)	Loss 2.7883 (2.7445)	Prec@1 29.688 (34.501)	Prec@5 67.188 (64.895)
Epoch: [27][12820/14090]	Time 0.725 (0.753)	Data 0.001 (0.001)	Loss 2.4769 (2.7445)	Prec@1 37.500 (34.502)	Prec@5 74.219 (64.896)
Epoch: [27][12830/14090]	Time 0.773 (0.753)	Data 0.001 (0.001)	Loss 2.8260 (2.7445)	Prec@1 35.938 (34.501)	Prec@5 64.062 (64.895)
Epoch: [27][12840/14090]	Time 0.735 (0.753)	Data 0.001 (0.001)	Loss 2.9027 (2.7445)	Prec@1 33.594 (34.501)	Prec@5 64.062 (64.894)
Epoch: [27][12850/14090]	Time 0.785 (0.753)	Data 0.001 (0.001)	Loss 2.9349 (2.7446)	Prec@1 29.688 (34.501)	Prec@5 64.844 (64.894)
Epoch: [27][12860/14090]	Time 0.750 (0.753)	Data 0.001 (0.001)	Loss 2.6906 (2.7445)	Prec@1 32.031 (34.501)	Prec@5 65.625 (64.896)
Epoch: [27][12870/14090]	Time 0.752 (0.753)	Data 0.001 (0.001)	Loss 2.8633 (2.7445)	Prec@1 33.594 (34.502)	Prec@5 59.375 (64.895)
Epoch: [27][12880/14090]	Time 0.743 (0.753)	Data 0.001 (0.001)	Loss 2.6683 (2.7444)	Prec@1 35.938 (34.503)	Prec@5 67.188 (64.897)
Epoch: [27][12890/14090]	Time 0.751 (0.753)	Data 0.001 (0.001)	Loss 3.0201 (2.7445)	Prec@1 35.938 (34.503)	Prec@5 57.812 (64.897)
Epoch: [27][12900/14090]	Time 0.751 (0.753)	Data 0.001 (0.001)	Loss 2.3946 (2.7444)	Prec@1 41.406 (34.504)	Prec@5 69.531 (64.899)
Epoch: [27][12910/14090]	Time 0.741 (0.753)	Data 0.001 (0.001)	Loss 2.6856 (2.7443)	Prec@1 36.719 (34.505)	Prec@5 65.625 (64.898)
Epoch: [27][12920/14090]	Time 0.738 (0.753)	Data 0.001 (0.001)	Loss 2.7442 (2.7443)	Prec@1 39.062 (34.504)	Prec@5 62.500 (64.898)
Epoch: [27][12930/14090]	Time 0.739 (0.753)	Data 0.001 (0.001)	Loss 2.8815 (2.7443)	Prec@1 28.906 (34.504)	Prec@5 61.719 (64.899)
Epoch: [27][12940/14090]	Time 0.759 (0.753)	Data 0.001 (0.001)	Loss 3.2531 (2.7443)	Prec@1 21.875 (34.506)	Prec@5 53.906 (64.900)
Epoch: [27][12950/14090]	Time 0.736 (0.753)	Data 0.001 (0.001)	Loss 2.8998 (2.7443)	Prec@1 30.469 (34.505)	Prec@5 64.062 (64.898)
Epoch: [27][12960/14090]	Time 0.741 (0.753)	Data 0.001 (0.001)	Loss 2.9896 (2.7444)	Prec@1 31.250 (34.506)	Prec@5 57.812 (64.897)
Epoch: [27][12970/14090]	Time 0.751 (0.753)	Data 0.001 (0.001)	Loss 2.5963 (2.7443)	Prec@1 37.500 (34.506)	Prec@5 67.188 (64.900)
Epoch: [27][12980/14090]	Time 0.730 (0.753)	Data 0.001 (0.001)	Loss 2.9670 (2.7442)	Prec@1 32.812 (34.507)	Prec@5 56.250 (64.900)
Epoch: [27][12990/14090]	Time 0.752 (0.753)	Data 0.001 (0.001)	Loss 2.4952 (2.7443)	Prec@1 45.312 (34.506)	Prec@5 67.969 (64.900)
Epoch: [27][13000/14090]	Time 0.752 (0.753)	Data 0.001 (0.001)	Loss 2.7773 (2.7443)	Prec@1 32.812 (34.505)	Prec@5 67.188 (64.900)
Epoch: [27][13010/14090]	Time 0.741 (0.753)	Data 0.001 (0.001)	Loss 2.6961 (2.7443)	Prec@1 34.375 (34.506)	Prec@5 61.719 (64.899)
Epoch: [27][13020/14090]	Time 0.778 (0.753)	Data 0.001 (0.001)	Loss 2.9936 (2.7443)	Prec@1 32.031 (34.505)	Prec@5 58.594 (64.898)
Epoch: [27][13030/14090]	Time 0.730 (0.753)	Data 0.001 (0.001)	Loss 2.7675 (2.7444)	Prec@1 36.719 (34.506)	Prec@5 66.406 (64.897)
Epoch: [27][13040/14090]	Time 0.777 (0.753)	Data 0.001 (0.001)	Loss 2.7658 (2.7444)	Prec@1 34.375 (34.506)	Prec@5 64.062 (64.896)
Epoch: [27][13050/14090]	Time 0.731 (0.753)	Data 0.001 (0.001)	Loss 2.7571 (2.7445)	Prec@1 30.469 (34.504)	Prec@5 64.062 (64.897)
Epoch: [27][13060/14090]	Time 0.773 (0.753)	Data 0.001 (0.001)	Loss 2.5857 (2.7444)	Prec@1 35.938 (34.506)	Prec@5 66.406 (64.897)
Epoch: [27][13070/14090]	Time 0.717 (0.753)	Data 0.001 (0.001)	Loss 2.7037 (2.7444)	Prec@1 35.938 (34.507)	Prec@5 63.281 (64.896)
Epoch: [27][13080/14090]	Time 0.746 (0.753)	Data 0.001 (0.001)	Loss 2.8575 (2.7443)	Prec@1 30.469 (34.508)	Prec@5 58.594 (64.896)
Epoch: [27][13090/14090]	Time 0.748 (0.753)	Data 0.001 (0.001)	Loss 2.9927 (2.7443)	Prec@1 25.781 (34.507)	Prec@5 61.719 (64.896)
Epoch: [27][13100/14090]	Time 0.746 (0.753)	Data 0.001 (0.001)	Loss 2.6421 (2.7443)	Prec@1 37.500 (34.509)	Prec@5 64.844 (64.897)
Epoch: [27][13110/14090]	Time 0.742 (0.753)	Data 0.001 (0.001)	Loss 2.5239 (2.7443)	Prec@1 42.969 (34.508)	Prec@5 66.406 (64.897)
Epoch: [27][13120/14090]	Time 0.756 (0.753)	Data 0.001 (0.001)	Loss 2.7319 (2.7443)	Prec@1 34.375 (34.508)	Prec@5 64.062 (64.896)
Epoch: [27][13130/14090]	Time 0.768 (0.753)	Data 0.001 (0.001)	Loss 2.9763 (2.7443)	Prec@1 28.906 (34.507)	Prec@5 53.906 (64.896)
Epoch: [27][13140/14090]	Time 0.765 (0.753)	Data 0.001 (0.001)	Loss 2.9631 (2.7443)	Prec@1 27.344 (34.507)	Prec@5 62.500 (64.896)
Epoch: [27][13150/14090]	Time 0.745 (0.753)	Data 0.001 (0.001)	Loss 3.0166 (2.7444)	Prec@1 29.688 (34.506)	Prec@5 57.812 (64.893)
Epoch: [27][13160/14090]	Time 0.778 (0.753)	Data 0.001 (0.001)	Loss 2.5728 (2.7443)	Prec@1 37.500 (34.508)	Prec@5 69.531 (64.894)
Epoch: [27][13170/14090]	Time 0.754 (0.753)	Data 0.001 (0.001)	Loss 2.5789 (2.7444)	Prec@1 40.625 (34.506)	Prec@5 66.406 (64.893)
Epoch: [27][13180/14090]	Time 0.749 (0.753)	Data 0.001 (0.001)	Loss 2.6361 (2.7444)	Prec@1 40.625 (34.507)	Prec@5 63.281 (64.894)
Epoch: [27][13190/14090]	Time 0.741 (0.753)	Data 0.001 (0.001)	Loss 2.9081 (2.7444)	Prec@1 32.031 (34.508)	Prec@5 57.031 (64.894)
Epoch: [27][13200/14090]	Time 0.731 (0.753)	Data 0.001 (0.001)	Loss 2.7708 (2.7443)	Prec@1 28.906 (34.510)	Prec@5 66.406 (64.896)
Epoch: [27][13210/14090]	Time 0.782 (0.753)	Data 0.001 (0.001)	Loss 3.0887 (2.7443)	Prec@1 25.000 (34.510)	Prec@5 59.375 (64.895)
Epoch: [27][13220/14090]	Time 0.757 (0.753)	Data 0.001 (0.001)	Loss 2.4578 (2.7443)	Prec@1 39.062 (34.510)	Prec@5 70.312 (64.895)
Epoch: [27][13230/14090]	Time 0.731 (0.753)	Data 0.001 (0.001)	Loss 2.8275 (2.7442)	Prec@1 36.719 (34.511)	Prec@5 63.281 (64.896)
Epoch: [27][13240/14090]	Time 0.760 (0.753)	Data 0.001 (0.001)	Loss 2.5210 (2.7441)	Prec@1 38.281 (34.512)	Prec@5 69.531 (64.897)
Epoch: [27][13250/14090]	Time 0.796 (0.753)	Data 0.001 (0.001)	Loss 2.9171 (2.7441)	Prec@1 39.062 (34.514)	Prec@5 63.281 (64.897)
Epoch: [27][13260/14090]	Time 0.749 (0.753)	Data 0.001 (0.001)	Loss 2.7424 (2.7442)	Prec@1 32.812 (34.513)	Prec@5 66.406 (64.897)
Epoch: [27][13270/14090]	Time 0.723 (0.753)	Data 0.001 (0.001)	Loss 2.7755 (2.7441)	Prec@1 37.500 (34.514)	Prec@5 60.938 (64.897)
Epoch: [27][13280/14090]	Time 0.714 (0.753)	Data 0.001 (0.001)	Loss 2.5934 (2.7441)	Prec@1 40.625 (34.515)	Prec@5 64.844 (64.898)
Epoch: [27][13290/14090]	Time 0.751 (0.753)	Data 0.001 (0.001)	Loss 2.6693 (2.7441)	Prec@1 39.844 (34.515)	Prec@5 66.406 (64.897)
Epoch: [27][13300/14090]	Time 0.738 (0.753)	Data 0.001 (0.001)	Loss 2.7091 (2.7441)	Prec@1 35.938 (34.516)	Prec@5 67.188 (64.898)
Epoch: [27][13310/14090]	Time 0.732 (0.753)	Data 0.001 (0.001)	Loss 3.0328 (2.7441)	Prec@1 27.344 (34.516)	Prec@5 56.250 (64.896)
Epoch: [27][13320/14090]	Time 0.772 (0.753)	Data 0.001 (0.001)	Loss 2.4546 (2.7441)	Prec@1 41.406 (34.517)	Prec@5 73.438 (64.897)
Epoch: [27][13330/14090]	Time 0.741 (0.753)	Data 0.001 (0.001)	Loss 2.5609 (2.7441)	Prec@1 41.406 (34.518)	Prec@5 68.750 (64.898)
Epoch: [27][13340/14090]	Time 0.747 (0.753)	Data 0.001 (0.001)	Loss 2.8478 (2.7441)	Prec@1 30.469 (34.518)	Prec@5 65.625 (64.898)
Epoch: [27][13350/14090]	Time 0.732 (0.753)	Data 0.001 (0.001)	Loss 2.7319 (2.7441)	Prec@1 32.031 (34.519)	Prec@5 61.719 (64.898)
Epoch: [27][13360/14090]	Time 0.747 (0.753)	Data 0.001 (0.001)	Loss 2.7999 (2.7440)	Prec@1 28.125 (34.520)	Prec@5 67.188 (64.900)
Epoch: [27][13370/14090]	Time 0.764 (0.753)	Data 0.001 (0.001)	Loss 2.7639 (2.7440)	Prec@1 32.031 (34.520)	Prec@5 59.375 (64.900)
Epoch: [27][13380/14090]	Time 0.782 (0.753)	Data 0.001 (0.001)	Loss 2.8171 (2.7440)	Prec@1 35.156 (34.521)	Prec@5 61.719 (64.899)
Epoch: [27][13390/14090]	Time 0.756 (0.753)	Data 0.001 (0.001)	Loss 2.7528 (2.7441)	Prec@1 35.938 (34.521)	Prec@5 71.875 (64.899)
Epoch: [27][13400/14090]	Time 0.732 (0.753)	Data 0.001 (0.001)	Loss 3.0104 (2.7441)	Prec@1 25.000 (34.521)	Prec@5 59.375 (64.897)
Epoch: [27][13410/14090]	Time 0.754 (0.753)	Data 0.001 (0.001)	Loss 2.5678 (2.7441)	Prec@1 36.719 (34.521)	Prec@5 64.062 (64.898)
Epoch: [27][13420/14090]	Time 0.760 (0.753)	Data 0.001 (0.001)	Loss 2.6406 (2.7441)	Prec@1 31.250 (34.520)	Prec@5 69.531 (64.899)
Epoch: [27][13430/14090]	Time 0.796 (0.753)	Data 0.001 (0.001)	Loss 2.2777 (2.7440)	Prec@1 42.969 (34.520)	Prec@5 72.656 (64.900)
Epoch: [27][13440/14090]	Time 0.747 (0.753)	Data 0.001 (0.001)	Loss 2.7229 (2.7441)	Prec@1 28.906 (34.519)	Prec@5 64.062 (64.898)
Epoch: [27][13450/14090]	Time 0.729 (0.753)	Data 0.001 (0.001)	Loss 2.8880 (2.7442)	Prec@1 32.031 (34.518)	Prec@5 61.719 (64.897)
Epoch: [27][13460/14090]	Time 0.766 (0.753)	Data 0.001 (0.001)	Loss 2.2876 (2.7442)	Prec@1 42.188 (34.519)	Prec@5 72.656 (64.897)
Epoch: [27][13470/14090]	Time 0.747 (0.753)	Data 0.001 (0.001)	Loss 2.6163 (2.7442)	Prec@1 38.281 (34.519)	Prec@5 71.875 (64.896)
Epoch: [27][13480/14090]	Time 0.732 (0.753)	Data 0.001 (0.001)	Loss 2.8375 (2.7442)	Prec@1 31.250 (34.520)	Prec@5 64.844 (64.896)
Epoch: [27][13490/14090]	Time 0.767 (0.753)	Data 0.001 (0.001)	Loss 2.6713 (2.7442)	Prec@1 37.500 (34.519)	Prec@5 63.281 (64.896)
Epoch: [27][13500/14090]	Time 0.754 (0.753)	Data 0.001 (0.001)	Loss 2.5544 (2.7442)	Prec@1 43.750 (34.521)	Prec@5 67.188 (64.895)
Epoch: [27][13510/14090]	Time 0.746 (0.753)	Data 0.001 (0.001)	Loss 2.4475 (2.7441)	Prec@1 35.156 (34.522)	Prec@5 68.750 (64.896)
Epoch: [27][13520/14090]	Time 0.740 (0.753)	Data 0.001 (0.001)	Loss 2.8130 (2.7441)	Prec@1 33.594 (34.521)	Prec@5 61.719 (64.896)
Epoch: [27][13530/14090]	Time 0.779 (0.753)	Data 0.001 (0.001)	Loss 2.6899 (2.7441)	Prec@1 36.719 (34.521)	Prec@5 64.844 (64.897)
Epoch: [27][13540/14090]	Time 0.748 (0.753)	Data 0.001 (0.001)	Loss 2.6693 (2.7440)	Prec@1 32.812 (34.522)	Prec@5 67.188 (64.898)
Epoch: [27][13550/14090]	Time 0.783 (0.753)	Data 0.001 (0.001)	Loss 2.9594 (2.7441)	Prec@1 26.562 (34.521)	Prec@5 61.719 (64.897)
Epoch: [27][13560/14090]	Time 0.724 (0.753)	Data 0.001 (0.001)	Loss 2.8830 (2.7440)	Prec@1 30.469 (34.520)	Prec@5 58.594 (64.897)
Epoch: [27][13570/14090]	Time 0.760 (0.753)	Data 0.001 (0.001)	Loss 2.6751 (2.7440)	Prec@1 37.500 (34.521)	Prec@5 64.062 (64.898)
Epoch: [27][13580/14090]	Time 0.764 (0.753)	Data 0.001 (0.001)	Loss 2.9931 (2.7440)	Prec@1 32.031 (34.521)	Prec@5 60.156 (64.898)
Epoch: [27][13590/14090]	Time 0.824 (0.753)	Data 0.001 (0.001)	Loss 2.4852 (2.7440)	Prec@1 42.188 (34.523)	Prec@5 69.531 (64.898)
Epoch: [27][13600/14090]	Time 0.754 (0.753)	Data 0.001 (0.001)	Loss 3.0596 (2.7440)	Prec@1 28.906 (34.523)	Prec@5 62.500 (64.897)
Epoch: [27][13610/14090]	Time 0.722 (0.753)	Data 0.001 (0.001)	Loss 2.7438 (2.7440)	Prec@1 35.938 (34.524)	Prec@5 55.469 (64.896)
Epoch: [27][13620/14090]	Time 0.736 (0.753)	Data 0.001 (0.001)	Loss 2.6588 (2.7440)	Prec@1 33.594 (34.524)	Prec@5 66.406 (64.896)
Epoch: [27][13630/14090]	Time 0.726 (0.753)	Data 0.001 (0.001)	Loss 2.7284 (2.7441)	Prec@1 34.375 (34.524)	Prec@5 68.750 (64.895)
Epoch: [27][13640/14090]	Time 0.725 (0.753)	Data 0.001 (0.001)	Loss 2.5340 (2.7441)	Prec@1 38.281 (34.525)	Prec@5 64.844 (64.895)
Epoch: [27][13650/14090]	Time 0.768 (0.753)	Data 0.001 (0.001)	Loss 2.6093 (2.7441)	Prec@1 35.156 (34.525)	Prec@5 64.844 (64.895)
Epoch: [27][13660/14090]	Time 0.855 (0.753)	Data 0.001 (0.001)	Loss 2.8337 (2.7441)	Prec@1 34.375 (34.525)	Prec@5 60.938 (64.893)
Epoch: [27][13670/14090]	Time 0.751 (0.753)	Data 0.001 (0.001)	Loss 2.9866 (2.7442)	Prec@1 26.562 (34.524)	Prec@5 58.594 (64.891)
Epoch: [27][13680/14090]	Time 0.738 (0.753)	Data 0.001 (0.001)	Loss 3.1554 (2.7443)	Prec@1 21.875 (34.522)	Prec@5 52.344 (64.890)
Epoch: [27][13690/14090]	Time 0.741 (0.753)	Data 0.001 (0.001)	Loss 2.8756 (2.7443)	Prec@1 30.469 (34.522)	Prec@5 66.406 (64.890)
Epoch: [27][13700/14090]	Time 0.742 (0.753)	Data 0.001 (0.001)	Loss 2.8395 (2.7443)	Prec@1 34.375 (34.519)	Prec@5 58.594 (64.889)
Epoch: [27][13710/14090]	Time 0.739 (0.753)	Data 0.001 (0.001)	Loss 2.7736 (2.7444)	Prec@1 31.250 (34.519)	Prec@5 64.062 (64.888)
Epoch: [27][13720/14090]	Time 0.776 (0.753)	Data 0.001 (0.001)	Loss 2.6363 (2.7444)	Prec@1 39.844 (34.519)	Prec@5 68.750 (64.889)
Epoch: [27][13730/14090]	Time 0.762 (0.753)	Data 0.001 (0.001)	Loss 2.4504 (2.7443)	Prec@1 36.719 (34.521)	Prec@5 71.094 (64.890)
Epoch: [27][13740/14090]	Time 0.745 (0.753)	Data 0.001 (0.001)	Loss 2.5949 (2.7443)	Prec@1 35.156 (34.522)	Prec@5 67.188 (64.890)
Epoch: [27][13750/14090]	Time 0.740 (0.753)	Data 0.001 (0.001)	Loss 2.6963 (2.7443)	Prec@1 35.156 (34.521)	Prec@5 68.750 (64.890)
Epoch: [27][13760/14090]	Time 0.744 (0.753)	Data 0.001 (0.001)	Loss 2.9714 (2.7444)	Prec@1 32.031 (34.521)	Prec@5 59.375 (64.889)
Epoch: [27][13770/14090]	Time 0.748 (0.753)	Data 0.001 (0.001)	Loss 2.3071 (2.7443)	Prec@1 47.656 (34.524)	Prec@5 71.094 (64.891)
Epoch: [27][13780/14090]	Time 0.746 (0.753)	Data 0.001 (0.001)	Loss 3.0896 (2.7443)	Prec@1 25.781 (34.522)	Prec@5 59.375 (64.892)
Epoch: [27][13790/14090]	Time 0.736 (0.753)	Data 0.001 (0.001)	Loss 2.9887 (2.7443)	Prec@1 30.469 (34.521)	Prec@5 64.062 (64.892)
Epoch: [27][13800/14090]	Time 0.737 (0.753)	Data 0.001 (0.001)	Loss 2.9061 (2.7444)	Prec@1 28.125 (34.521)	Prec@5 58.594 (64.891)
Epoch: [27][13810/14090]	Time 0.754 (0.753)	Data 0.001 (0.001)	Loss 2.8851 (2.7444)	Prec@1 35.938 (34.520)	Prec@5 63.281 (64.891)
Epoch: [27][13820/14090]	Time 0.757 (0.753)	Data 0.001 (0.001)	Loss 2.7776 (2.7444)	Prec@1 28.125 (34.519)	Prec@5 63.281 (64.891)
Epoch: [27][13830/14090]	Time 0.775 (0.753)	Data 0.001 (0.001)	Loss 2.6765 (2.7444)	Prec@1 37.500 (34.519)	Prec@5 67.188 (64.890)
Epoch: [27][13840/14090]	Time 0.729 (0.753)	Data 0.001 (0.001)	Loss 2.5083 (2.7444)	Prec@1 42.969 (34.519)	Prec@5 71.875 (64.891)
Epoch: [27][13850/14090]	Time 0.771 (0.753)	Data 0.001 (0.001)	Loss 2.7245 (2.7445)	Prec@1 35.938 (34.518)	Prec@5 64.062 (64.889)
Epoch: [27][13860/14090]	Time 0.759 (0.753)	Data 0.001 (0.001)	Loss 2.9196 (2.7444)	Prec@1 28.906 (34.518)	Prec@5 63.281 (64.890)
Epoch: [27][13870/14090]	Time 0.741 (0.753)	Data 0.001 (0.001)	Loss 2.5543 (2.7444)	Prec@1 44.531 (34.519)	Prec@5 69.531 (64.890)
Epoch: [27][13880/14090]	Time 0.771 (0.753)	Data 0.001 (0.001)	Loss 2.7891 (2.7444)	Prec@1 33.594 (34.519)	Prec@5 65.625 (64.890)
Epoch: [27][13890/14090]	Time 0.758 (0.753)	Data 0.001 (0.001)	Loss 2.9245 (2.7444)	Prec@1 34.375 (34.519)	Prec@5 62.500 (64.891)
Epoch: [27][13900/14090]	Time 0.730 (0.753)	Data 0.001 (0.001)	Loss 2.7785 (2.7445)	Prec@1 36.719 (34.517)	Prec@5 59.375 (64.889)
Epoch: [27][13910/14090]	Time 0.764 (0.753)	Data 0.001 (0.001)	Loss 2.5268 (2.7444)	Prec@1 40.625 (34.518)	Prec@5 69.531 (64.890)
Epoch: [27][13920/14090]	Time 0.746 (0.753)	Data 0.001 (0.001)	Loss 2.7721 (2.7444)	Prec@1 36.719 (34.517)	Prec@5 63.281 (64.890)
Epoch: [27][13930/14090]	Time 0.757 (0.753)	Data 0.001 (0.001)	Loss 2.7263 (2.7444)	Prec@1 32.812 (34.516)	Prec@5 64.844 (64.890)
Epoch: [27][13940/14090]	Time 0.744 (0.753)	Data 0.001 (0.001)	Loss 3.0845 (2.7444)	Prec@1 25.000 (34.515)	Prec@5 55.469 (64.890)
Epoch: [27][13950/14090]	Time 0.779 (0.753)	Data 0.001 (0.001)	Loss 2.8272 (2.7444)	Prec@1 34.375 (34.515)	Prec@5 64.062 (64.888)
Epoch: [27][13960/14090]	Time 0.746 (0.753)	Data 0.001 (0.001)	Loss 2.7967 (2.7444)	Prec@1 32.812 (34.516)	Prec@5 59.375 (64.889)
Epoch: [27][13970/14090]	Time 0.766 (0.753)	Data 0.001 (0.001)	Loss 2.7698 (2.7444)	Prec@1 34.375 (34.516)	Prec@5 62.500 (64.889)
Epoch: [27][13980/14090]	Time 0.741 (0.753)	Data 0.001 (0.001)	Loss 2.4992 (2.7444)	Prec@1 39.062 (34.516)	Prec@5 74.219 (64.889)
Epoch: [27][13990/14090]	Time 0.736 (0.753)	Data 0.001 (0.001)	Loss 2.7691 (2.7445)	Prec@1 32.031 (34.515)	Prec@5 64.844 (64.888)
Epoch: [27][14000/14090]	Time 0.768 (0.752)	Data 0.001 (0.001)	Loss 2.7186 (2.7445)	Prec@1 32.812 (34.515)	Prec@5 65.625 (64.888)
Epoch: [27][14010/14090]	Time 0.734 (0.752)	Data 0.001 (0.001)	Loss 2.5496 (2.7445)	Prec@1 39.062 (34.515)	Prec@5 71.875 (64.888)
Epoch: [27][14020/14090]	Time 0.775 (0.752)	Data 0.001 (0.001)	Loss 2.7332 (2.7445)	Prec@1 38.281 (34.514)	Prec@5 67.188 (64.888)
Epoch: [27][14030/14090]	Time 0.732 (0.752)	Data 0.001 (0.001)	Loss 2.6910 (2.7444)	Prec@1 39.844 (34.514)	Prec@5 64.062 (64.889)
Epoch: [27][14040/14090]	Time 0.732 (0.752)	Data 0.001 (0.001)	Loss 2.5172 (2.7443)	Prec@1 37.500 (34.515)	Prec@5 71.094 (64.890)
Epoch: [27][14050/14090]	Time 0.779 (0.752)	Data 0.001 (0.001)	Loss 2.9736 (2.7444)	Prec@1 32.812 (34.515)	Prec@5 57.031 (64.890)
Epoch: [27][14060/14090]	Time 0.742 (0.752)	Data 0.001 (0.001)	Loss 2.7187 (2.7443)	Prec@1 34.375 (34.514)	Prec@5 64.062 (64.890)
Epoch: [27][14070/14090]	Time 0.761 (0.752)	Data 0.001 (0.001)	Loss 2.7627 (2.7444)	Prec@1 28.906 (34.515)	Prec@5 62.500 (64.890)
Epoch: [27][14080/14090]	Time 0.714 (0.752)	Data 0.000 (0.001)	Loss 2.5578 (2.7444)	Prec@1 39.844 (34.515)	Prec@5 67.188 (64.889)
Test: [0/286]	Time 3.763 (3.763)	Loss 2.0881 (2.0881)	Prec@1 43.750 (43.750)	Prec@5 88.281 (88.281)
Test: [10/286]	Time 0.238 (0.631)	Loss 2.7026 (2.4700)	Prec@1 31.250 (40.412)	Prec@5 67.969 (71.875)
Test: [20/286]	Time 0.252 (0.481)	Loss 2.2563 (2.3564)	Prec@1 48.438 (42.746)	Prec@5 76.562 (73.624)
Test: [30/286]	Time 0.320 (0.432)	Loss 2.3949 (2.2714)	Prec@1 42.188 (44.808)	Prec@5 76.562 (74.622)
Test: [40/286]	Time 0.913 (0.418)	Loss 1.9794 (2.3124)	Prec@1 46.875 (43.731)	Prec@5 85.938 (73.590)
Test: [50/286]	Time 0.238 (0.400)	Loss 1.1420 (2.3440)	Prec@1 76.562 (42.969)	Prec@5 85.156 (73.208)
Test: [60/286]	Time 0.285 (0.385)	Loss 3.0611 (2.3617)	Prec@1 29.688 (42.982)	Prec@5 57.812 (72.336)
Test: [70/286]	Time 0.303 (0.375)	Loss 1.2431 (2.3316)	Prec@1 72.656 (43.409)	Prec@5 86.719 (72.634)
Test: [80/286]	Time 0.877 (0.376)	Loss 3.2599 (2.3836)	Prec@1 23.438 (42.101)	Prec@5 56.250 (71.672)
Test: [90/286]	Time 0.224 (0.370)	Loss 2.5073 (2.3843)	Prec@1 40.625 (41.930)	Prec@5 75.000 (71.686)
Test: [100/286]	Time 0.304 (0.367)	Loss 3.0782 (2.4107)	Prec@1 19.531 (40.965)	Prec@5 57.031 (71.496)
Test: [110/286]	Time 0.240 (0.365)	Loss 2.5247 (2.4232)	Prec@1 27.344 (40.470)	Prec@5 72.656 (71.305)
Test: [120/286]	Time 0.228 (0.364)	Loss 2.3179 (2.4094)	Prec@1 45.312 (40.909)	Prec@5 69.531 (71.468)
Test: [130/286]	Time 0.317 (0.362)	Loss 1.4899 (2.3919)	Prec@1 57.031 (41.317)	Prec@5 89.062 (71.809)
Test: [140/286]	Time 0.240 (0.364)	Loss 3.2284 (2.3983)	Prec@1 32.812 (41.234)	Prec@5 57.812 (71.809)
Test: [150/286]	Time 0.230 (0.360)	Loss 2.9094 (2.4231)	Prec@1 22.656 (40.397)	Prec@5 67.188 (71.446)
Test: [160/286]	Time 0.293 (0.358)	Loss 3.0269 (2.4230)	Prec@1 17.969 (40.164)	Prec@5 60.938 (71.390)
Test: [170/286]	Time 0.603 (0.358)	Loss 2.2089 (2.4132)	Prec@1 35.156 (40.228)	Prec@5 85.156 (71.679)
Test: [180/286]	Time 0.330 (0.359)	Loss 2.1962 (2.4321)	Prec@1 53.906 (39.805)	Prec@5 71.094 (71.379)
Test: [190/286]	Time 0.236 (0.358)	Loss 3.7750 (2.4587)	Prec@1 7.812 (39.242)	Prec@5 42.969 (70.902)
Test: [200/286]	Time 0.231 (0.355)	Loss 3.3794 (2.4580)	Prec@1 13.281 (39.296)	Prec@5 52.344 (70.997)
Test: [210/286]	Time 0.417 (0.356)	Loss 3.2992 (2.4786)	Prec@1 16.406 (38.692)	Prec@5 57.812 (70.605)
Test: [220/286]	Time 0.350 (0.356)	Loss 3.8499 (2.4881)	Prec@1 12.500 (38.575)	Prec@5 35.156 (70.309)
Test: [230/286]	Time 0.326 (0.355)	Loss 1.9184 (2.4900)	Prec@1 53.906 (38.569)	Prec@5 75.781 (70.221)
Test: [240/286]	Time 0.233 (0.353)	Loss 2.6591 (2.4936)	Prec@1 39.844 (38.567)	Prec@5 69.531 (70.290)
Test: [250/286]	Time 0.762 (0.354)	Loss 3.0074 (2.4933)	Prec@1 22.656 (38.362)	Prec@5 61.719 (70.465)
Test: [260/286]	Time 0.333 (0.353)	Loss 2.3692 (2.4793)	Prec@1 31.250 (38.614)	Prec@5 71.094 (70.744)
Test: [270/286]	Time 0.238 (0.352)	Loss 1.7473 (2.4753)	Prec@1 53.125 (38.717)	Prec@5 85.938 (70.883)
Test: [280/286]	Time 0.227 (0.352)	Loss 2.3143 (2.4526)	Prec@1 39.844 (39.265)	Prec@5 77.344 (71.191)
 * Prec@1 39.387 Prec@5 71.238
Epoch: [28][0/14090]	Time 4.873 (4.873)	Data 4.105 (4.105)	Loss 2.6418 (2.6418)	Prec@1 34.375 (34.375)	Prec@5 66.406 (66.406)
Epoch: [28][10/14090]	Time 0.750 (1.105)	Data 0.001 (0.374)	Loss 2.5968 (2.7200)	Prec@1 35.938 (35.440)	Prec@5 64.844 (64.986)
Epoch: [28][20/14090]	Time 0.751 (0.930)	Data 0.001 (0.196)	Loss 2.5834 (2.7476)	Prec@1 39.844 (34.375)	Prec@5 69.531 (64.881)
Epoch: [28][30/14090]	Time 0.724 (0.869)	Data 0.002 (0.133)	Loss 2.8366 (2.7451)	Prec@1 31.250 (34.073)	Prec@5 63.281 (65.020)
Epoch: [28][40/14090]	Time 0.732 (0.837)	Data 0.001 (0.101)	Loss 2.8057 (2.7580)	Prec@1 32.031 (34.146)	Prec@5 63.281 (64.596)
Epoch: [28][50/14090]	Time 0.739 (0.819)	Data 0.001 (0.081)	Loss 2.6484 (2.7535)	Prec@1 36.719 (34.635)	Prec@5 67.969 (64.691)
Epoch: [28][60/14090]	Time 0.739 (0.808)	Data 0.001 (0.068)	Loss 2.6894 (2.7563)	Prec@1 31.250 (34.593)	Prec@5 62.500 (64.857)
Epoch: [28][70/14090]	Time 0.781 (0.800)	Data 0.001 (0.059)	Loss 3.0230 (2.7642)	Prec@1 32.031 (34.452)	Prec@5 57.031 (64.459)
Epoch: [28][80/14090]	Time 0.732 (0.794)	Data 0.001 (0.052)	Loss 2.7324 (2.7510)	Prec@1 39.062 (34.770)	Prec@5 64.062 (64.564)
Epoch: [28][90/14090]	Time 0.766 (0.790)	Data 0.001 (0.046)	Loss 2.6049 (2.7482)	Prec@1 33.594 (34.675)	Prec@5 67.969 (64.698)
Epoch: [28][100/14090]	Time 0.739 (0.786)	Data 0.002 (0.042)	Loss 2.5358 (2.7510)	Prec@1 37.500 (34.514)	Prec@5 68.750 (64.689)
Epoch: [28][110/14090]	Time 0.751 (0.783)	Data 0.001 (0.038)	Loss 2.7941 (2.7491)	Prec@1 32.031 (34.600)	Prec@5 62.500 (64.717)
Epoch: [28][120/14090]	Time 0.783 (0.781)	Data 0.001 (0.035)	Loss 2.3400 (2.7414)	Prec@1 42.188 (34.711)	Prec@5 74.219 (64.908)
Epoch: [28][130/14090]	Time 0.777 (0.779)	Data 0.001 (0.032)	Loss 2.6586 (2.7361)	Prec@1 39.844 (34.715)	Prec@5 67.969 (65.100)
Epoch: [28][140/14090]	Time 0.747 (0.777)	Data 0.001 (0.030)	Loss 2.7978 (2.7413)	Prec@1 32.031 (34.569)	Prec@5 65.625 (64.949)
Epoch: [28][150/14090]	Time 0.749 (0.776)	Data 0.000 (0.028)	Loss 2.6403 (2.7410)	Prec@1 39.062 (34.649)	Prec@5 67.969 (64.921)
Epoch: [28][160/14090]	Time 0.757 (0.774)	Data 0.001 (0.026)	Loss 2.8578 (2.7431)	Prec@1 35.156 (34.589)	Prec@5 59.375 (64.815)
Epoch: [28][170/14090]	Time 0.751 (0.773)	Data 0.002 (0.025)	Loss 3.0567 (2.7450)	Prec@1 27.344 (34.498)	Prec@5 59.375 (64.807)
Epoch: [28][180/14090]	Time 0.776 (0.772)	Data 0.001 (0.024)	Loss 2.9868 (2.7417)	Prec@1 30.469 (34.517)	Prec@5 57.812 (64.947)
Epoch: [28][190/14090]	Time 0.763 (0.771)	Data 0.001 (0.022)	Loss 2.5803 (2.7413)	Prec@1 36.719 (34.514)	Prec@5 67.188 (64.876)
Epoch: [28][200/14090]	Time 0.748 (0.770)	Data 0.001 (0.021)	Loss 2.5663 (2.7389)	Prec@1 41.406 (34.573)	Prec@5 67.188 (64.929)
Epoch: [28][210/14090]	Time 0.757 (0.769)	Data 0.001 (0.020)	Loss 2.8269 (2.7390)	Prec@1 35.156 (34.531)	Prec@5 63.281 (64.955)
Epoch: [28][220/14090]	Time 0.753 (0.768)	Data 0.001 (0.020)	Loss 2.9640 (2.7341)	Prec@1 28.906 (34.598)	Prec@5 59.375 (65.038)
Epoch: [28][230/14090]	Time 0.739 (0.768)	Data 0.001 (0.019)	Loss 2.7181 (2.7367)	Prec@1 38.281 (34.581)	Prec@5 62.500 (64.955)
Epoch: [28][240/14090]	Time 0.747 (0.767)	Data 0.002 (0.018)	Loss 2.7134 (2.7377)	Prec@1 36.719 (34.544)	Prec@5 61.719 (64.944)
Epoch: [28][250/14090]	Time 0.741 (0.766)	Data 0.001 (0.017)	Loss 2.7817 (2.7406)	Prec@1 34.375 (34.453)	Prec@5 64.062 (64.866)
Epoch: [28][260/14090]	Time 0.730 (0.766)	Data 0.001 (0.017)	Loss 2.7682 (2.7401)	Prec@1 35.156 (34.453)	Prec@5 66.406 (64.895)
Epoch: [28][270/14090]	Time 0.739 (0.765)	Data 0.001 (0.016)	Loss 2.8086 (2.7430)	Prec@1 34.375 (34.401)	Prec@5 60.938 (64.850)
Epoch: [28][280/14090]	Time 0.791 (0.765)	Data 0.001 (0.016)	Loss 2.6964 (2.7419)	Prec@1 29.688 (34.406)	Prec@5 63.281 (64.863)
Epoch: [28][290/14090]	Time 0.736 (0.764)	Data 0.001 (0.015)	Loss 2.6891 (2.7417)	Prec@1 38.281 (34.388)	Prec@5 64.844 (64.841)
Epoch: [28][300/14090]	Time 0.753 (0.764)	Data 0.001 (0.015)	Loss 3.0868 (2.7445)	Prec@1 30.469 (34.367)	Prec@5 58.594 (64.781)
Epoch: [28][310/14090]	Time 0.729 (0.763)	Data 0.002 (0.014)	Loss 2.7503 (2.7432)	Prec@1 30.469 (34.400)	Prec@5 67.188 (64.809)
Epoch: [28][320/14090]	Time 0.743 (0.763)	Data 0.001 (0.014)	Loss 2.7628 (2.7431)	Prec@1 31.250 (34.409)	Prec@5 61.719 (64.766)
Epoch: [28][330/14090]	Time 0.757 (0.763)	Data 0.001 (0.013)	Loss 2.5504 (2.7388)	Prec@1 38.281 (34.491)	Prec@5 67.969 (64.891)
Epoch: [28][340/14090]	Time 0.739 (0.762)	Data 0.001 (0.013)	Loss 2.8872 (2.7384)	Prec@1 30.469 (34.533)	Prec@5 58.594 (64.924)
Epoch: [28][350/14090]	Time 0.736 (0.762)	Data 0.001 (0.013)	Loss 2.7418 (2.7377)	Prec@1 36.719 (34.533)	Prec@5 65.625 (64.966)
Epoch: [28][360/14090]	Time 0.774 (0.762)	Data 0.001 (0.012)	Loss 2.5765 (2.7372)	Prec@1 39.062 (34.572)	Prec@5 65.625 (64.956)
Epoch: [28][370/14090]	Time 0.740 (0.761)	Data 0.001 (0.012)	Loss 2.7083 (2.7371)	Prec@1 34.375 (34.573)	Prec@5 67.188 (64.964)
Epoch: [28][380/14090]	Time 0.735 (0.761)	Data 0.002 (0.012)	Loss 2.6745 (2.7372)	Prec@1 37.500 (34.568)	Prec@5 59.375 (64.973)
Epoch: [28][390/14090]	Time 0.736 (0.761)	Data 0.001 (0.011)	Loss 2.7253 (2.7372)	Prec@1 34.375 (34.589)	Prec@5 69.531 (65.008)
Epoch: [28][400/14090]	Time 0.752 (0.761)	Data 0.001 (0.011)	Loss 2.9955 (2.7394)	Prec@1 31.250 (34.523)	Prec@5 60.938 (64.978)
Epoch: [28][410/14090]	Time 0.743 (0.760)	Data 0.001 (0.011)	Loss 2.7807 (2.7380)	Prec@1 37.500 (34.542)	Prec@5 63.281 (64.967)
Epoch: [28][420/14090]	Time 0.737 (0.760)	Data 0.001 (0.011)	Loss 2.6828 (2.7375)	Prec@1 33.594 (34.533)	Prec@5 65.625 (65.001)
Epoch: [28][430/14090]	Time 0.743 (0.760)	Data 0.001 (0.010)	Loss 2.9746 (2.7371)	Prec@1 31.250 (34.524)	Prec@5 58.594 (65.000)
Epoch: [28][440/14090]	Time 0.750 (0.760)	Data 0.001 (0.010)	Loss 2.6737 (2.7369)	Prec@1 35.938 (34.534)	Prec@5 66.406 (65.023)
Epoch: [28][450/14090]	Time 0.782 (0.760)	Data 0.002 (0.010)	Loss 2.7168 (2.7383)	Prec@1 34.375 (34.481)	Prec@5 64.844 (64.996)
Epoch: [28][460/14090]	Time 0.725 (0.759)	Data 0.001 (0.010)	Loss 2.7284 (2.7356)	Prec@1 35.156 (34.568)	Prec@5 64.844 (65.056)
Epoch: [28][470/14090]	Time 0.769 (0.759)	Data 0.001 (0.010)	Loss 2.8650 (2.7352)	Prec@1 30.469 (34.586)	Prec@5 60.938 (65.039)
Epoch: [28][480/14090]	Time 0.761 (0.759)	Data 0.001 (0.009)	Loss 2.8621 (2.7380)	Prec@1 30.469 (34.554)	Prec@5 59.375 (64.977)
Epoch: [28][490/14090]	Time 0.747 (0.759)	Data 0.001 (0.009)	Loss 2.8038 (2.7388)	Prec@1 33.594 (34.544)	Prec@5 59.375 (64.963)
Epoch: [28][500/14090]	Time 0.761 (0.759)	Data 0.001 (0.009)	Loss 2.6978 (2.7407)	Prec@1 34.375 (34.528)	Prec@5 63.281 (64.912)
Epoch: [28][510/14090]	Time 0.738 (0.758)	Data 0.001 (0.009)	Loss 2.6163 (2.7396)	Prec@1 38.281 (34.565)	Prec@5 62.500 (64.952)
Epoch: [28][520/14090]	Time 0.732 (0.758)	Data 0.002 (0.009)	Loss 2.8252 (2.7401)	Prec@1 32.812 (34.580)	Prec@5 60.156 (64.955)
Epoch: [28][530/14090]	Time 0.768 (0.758)	Data 0.001 (0.009)	Loss 2.6418 (2.7392)	Prec@1 35.156 (34.596)	Prec@5 66.406 (64.969)
Epoch: [28][540/14090]	Time 0.734 (0.758)	Data 0.001 (0.009)	Loss 2.9004 (2.7381)	Prec@1 29.688 (34.613)	Prec@5 66.406 (65.004)
Epoch: [28][550/14090]	Time 0.726 (0.758)	Data 0.001 (0.008)	Loss 2.9070 (2.7381)	Prec@1 26.562 (34.606)	Prec@5 60.938 (65.018)
Epoch: [28][560/14090]	Time 0.740 (0.758)	Data 0.002 (0.008)	Loss 2.6941 (2.7387)	Prec@1 34.375 (34.594)	Prec@5 64.844 (65.015)
Epoch: [28][570/14090]	Time 0.742 (0.757)	Data 0.001 (0.008)	Loss 2.5776 (2.7379)	Prec@1 34.375 (34.608)	Prec@5 66.406 (65.042)
Epoch: [28][580/14090]	Time 0.768 (0.757)	Data 0.001 (0.008)	Loss 2.9364 (2.7382)	Prec@1 29.688 (34.601)	Prec@5 57.812 (65.029)
Epoch: [28][590/14090]	Time 0.749 (0.757)	Data 0.002 (0.008)	Loss 2.4585 (2.7365)	Prec@1 36.719 (34.614)	Prec@5 68.750 (65.051)
Epoch: [28][600/14090]	Time 0.776 (0.757)	Data 0.001 (0.008)	Loss 2.6310 (2.7364)	Prec@1 33.594 (34.615)	Prec@5 65.625 (65.065)
Epoch: [28][610/14090]	Time 0.727 (0.757)	Data 0.001 (0.008)	Loss 2.8868 (2.7378)	Prec@1 35.938 (34.596)	Prec@5 57.812 (65.043)
Epoch: [28][620/14090]	Time 0.758 (0.757)	Data 0.001 (0.008)	Loss 2.7796 (2.7379)	Prec@1 30.469 (34.613)	Prec@5 60.938 (65.040)
Epoch: [28][630/14090]	Time 0.758 (0.757)	Data 0.001 (0.007)	Loss 2.5947 (2.7364)	Prec@1 35.938 (34.636)	Prec@5 68.750 (65.064)
Epoch: [28][640/14090]	Time 0.731 (0.756)	Data 0.001 (0.007)	Loss 2.5939 (2.7351)	Prec@1 36.719 (34.650)	Prec@5 67.188 (65.090)
Epoch: [28][650/14090]	Time 0.750 (0.756)	Data 0.001 (0.007)	Loss 2.6072 (2.7341)	Prec@1 39.062 (34.652)	Prec@5 64.844 (65.107)
Epoch: [28][660/14090]	Time 0.768 (0.756)	Data 0.002 (0.007)	Loss 2.9296 (2.7352)	Prec@1 26.562 (34.598)	Prec@5 63.281 (65.093)
Epoch: [28][670/14090]	Time 0.742 (0.756)	Data 0.001 (0.007)	Loss 2.8321 (2.7345)	Prec@1 35.938 (34.633)	Prec@5 64.062 (65.105)
Epoch: [28][680/14090]	Time 0.747 (0.756)	Data 0.001 (0.007)	Loss 2.7167 (2.7358)	Prec@1 35.156 (34.601)	Prec@5 67.188 (65.085)
Epoch: [28][690/14090]	Time 0.766 (0.756)	Data 0.001 (0.007)	Loss 2.5557 (2.7347)	Prec@1 40.625 (34.636)	Prec@5 65.625 (65.111)
Epoch: [28][700/14090]	Time 0.736 (0.756)	Data 0.001 (0.007)	Loss 2.8789 (2.7340)	Prec@1 36.719 (34.634)	Prec@5 60.938 (65.125)
Epoch: [28][710/14090]	Time 0.784 (0.756)	Data 0.001 (0.007)	Loss 2.6766 (2.7347)	Prec@1 35.156 (34.616)	Prec@5 66.406 (65.114)
Epoch: [28][720/14090]	Time 0.761 (0.756)	Data 0.001 (0.007)	Loss 2.7829 (2.7344)	Prec@1 30.469 (34.608)	Prec@5 62.500 (65.106)
Epoch: [28][730/14090]	Time 0.744 (0.756)	Data 0.002 (0.007)	Loss 2.6728 (2.7342)	Prec@1 36.719 (34.625)	Prec@5 67.188 (65.123)
Epoch: [28][740/14090]	Time 0.760 (0.756)	Data 0.001 (0.006)	Loss 2.9827 (2.7341)	Prec@1 36.719 (34.631)	Prec@5 66.406 (65.138)
Epoch: [28][750/14090]	Time 0.737 (0.756)	Data 0.001 (0.006)	Loss 2.7923 (2.7344)	Prec@1 35.156 (34.650)	Prec@5 61.719 (65.118)
Epoch: [28][760/14090]	Time 0.773 (0.756)	Data 0.001 (0.006)	Loss 2.5231 (2.7353)	Prec@1 44.531 (34.629)	Prec@5 69.531 (65.088)
Epoch: [28][770/14090]	Time 0.741 (0.755)	Data 0.001 (0.006)	Loss 2.8149 (2.7365)	Prec@1 38.281 (34.613)	Prec@5 58.594 (65.056)
Epoch: [28][780/14090]	Time 0.735 (0.755)	Data 0.001 (0.006)	Loss 2.8155 (2.7372)	Prec@1 33.594 (34.594)	Prec@5 65.625 (65.037)
Epoch: [28][790/14090]	Time 0.763 (0.755)	Data 0.001 (0.006)	Loss 2.7031 (2.7383)	Prec@1 36.719 (34.569)	Prec@5 65.625 (65.029)
Epoch: [28][800/14090]	Time 0.748 (0.755)	Data 0.002 (0.006)	Loss 2.6186 (2.7383)	Prec@1 34.375 (34.583)	Prec@5 67.969 (65.021)
Epoch: [28][810/14090]	Time 0.732 (0.755)	Data 0.001 (0.006)	Loss 2.7876 (2.7379)	Prec@1 29.688 (34.605)	Prec@5 68.750 (65.030)
Epoch: [28][820/14090]	Time 0.747 (0.755)	Data 0.001 (0.006)	Loss 2.7206 (2.7377)	Prec@1 40.625 (34.609)	Prec@5 67.969 (65.034)
Epoch: [28][830/14090]	Time 0.749 (0.755)	Data 0.001 (0.006)	Loss 2.4826 (2.7369)	Prec@1 37.500 (34.617)	Prec@5 74.219 (65.062)
Epoch: [28][840/14090]	Time 0.722 (0.755)	Data 0.001 (0.006)	Loss 2.5552 (2.7369)	Prec@1 37.500 (34.623)	Prec@5 67.969 (65.058)
Epoch: [28][850/14090]	Time 0.761 (0.755)	Data 0.001 (0.006)	Loss 3.1162 (2.7365)	Prec@1 25.000 (34.631)	Prec@5 55.469 (65.055)
Epoch: [28][860/14090]	Time 0.732 (0.755)	Data 0.001 (0.006)	Loss 2.5903 (2.7360)	Prec@1 34.375 (34.646)	Prec@5 67.969 (65.056)
Epoch: [28][870/14090]	Time 0.738 (0.755)	Data 0.002 (0.006)	Loss 2.8186 (2.7348)	Prec@1 33.594 (34.673)	Prec@5 66.406 (65.103)
Epoch: [28][880/14090]	Time 0.745 (0.755)	Data 0.001 (0.006)	Loss 2.5785 (2.7351)	Prec@1 33.594 (34.661)	Prec@5 67.188 (65.093)
Epoch: [28][890/14090]	Time 0.760 (0.755)	Data 0.001 (0.006)	Loss 2.8405 (2.7346)	Prec@1 30.469 (34.669)	Prec@5 60.156 (65.099)
Epoch: [28][900/14090]	Time 0.742 (0.755)	Data 0.001 (0.006)	Loss 2.4806 (2.7332)	Prec@1 34.375 (34.687)	Prec@5 70.312 (65.120)
Epoch: [28][910/14090]	Time 0.779 (0.755)	Data 0.001 (0.005)	Loss 2.6424 (2.7340)	Prec@1 31.250 (34.651)	Prec@5 64.844 (65.105)
Epoch: [28][920/14090]	Time 0.763 (0.755)	Data 0.001 (0.005)	Loss 2.8516 (2.7339)	Prec@1 29.688 (34.664)	Prec@5 64.062 (65.109)
Epoch: [28][930/14090]	Time 0.749 (0.755)	Data 0.001 (0.005)	Loss 2.6293 (2.7337)	Prec@1 35.938 (34.670)	Prec@5 68.750 (65.115)
Epoch: [28][940/14090]	Time 0.731 (0.755)	Data 0.002 (0.005)	Loss 2.3610 (2.7331)	Prec@1 46.094 (34.675)	Prec@5 71.875 (65.124)
Epoch: [28][950/14090]	Time 0.732 (0.755)	Data 0.001 (0.005)	Loss 2.9291 (2.7328)	Prec@1 33.594 (34.678)	Prec@5 63.281 (65.130)
Epoch: [28][960/14090]	Time 0.731 (0.755)	Data 0.001 (0.005)	Loss 2.8610 (2.7329)	Prec@1 32.031 (34.676)	Prec@5 61.719 (65.111)
Epoch: [28][970/14090]	Time 0.742 (0.755)	Data 0.001 (0.005)	Loss 2.6444 (2.7333)	Prec@1 34.375 (34.664)	Prec@5 69.531 (65.114)
Epoch: [28][980/14090]	Time 0.731 (0.755)	Data 0.001 (0.005)	Loss 2.8057 (2.7332)	Prec@1 28.125 (34.643)	Prec@5 66.406 (65.124)
Epoch: [28][990/14090]	Time 0.752 (0.755)	Data 0.001 (0.005)	Loss 2.7975 (2.7334)	Prec@1 36.719 (34.639)	Prec@5 67.188 (65.129)
Epoch: [28][1000/14090]	Time 0.752 (0.755)	Data 0.001 (0.005)	Loss 2.8018 (2.7333)	Prec@1 36.719 (34.628)	Prec@5 61.719 (65.139)
Epoch: [28][1010/14090]	Time 0.774 (0.754)	Data 0.002 (0.005)	Loss 2.7753 (2.7342)	Prec@1 32.812 (34.592)	Prec@5 61.719 (65.117)
Epoch: [28][1020/14090]	Time 0.761 (0.754)	Data 0.001 (0.005)	Loss 2.5898 (2.7358)	Prec@1 36.719 (34.568)	Prec@5 66.406 (65.079)
Epoch: [28][1030/14090]	Time 0.735 (0.754)	Data 0.001 (0.005)	Loss 2.7746 (2.7354)	Prec@1 35.156 (34.585)	Prec@5 62.500 (65.090)
Epoch: [28][1040/14090]	Time 0.742 (0.754)	Data 0.001 (0.005)	Loss 2.5610 (2.7356)	Prec@1 38.281 (34.584)	Prec@5 65.625 (65.079)
Epoch: [28][1050/14090]	Time 0.737 (0.754)	Data 0.001 (0.005)	Loss 2.9438 (2.7361)	Prec@1 28.906 (34.573)	Prec@5 64.844 (65.067)
Epoch: [28][1060/14090]	Time 0.739 (0.754)	Data 0.001 (0.005)	Loss 2.7786 (2.7359)	Prec@1 37.500 (34.585)	Prec@5 68.750 (65.079)
Epoch: [28][1070/14090]	Time 0.756 (0.754)	Data 0.001 (0.005)	Loss 2.5623 (2.7354)	Prec@1 36.719 (34.587)	Prec@5 69.531 (65.097)
Epoch: [28][1080/14090]	Time 0.733 (0.754)	Data 0.002 (0.005)	Loss 2.9206 (2.7354)	Prec@1 28.906 (34.580)	Prec@5 68.750 (65.106)
Epoch: [28][1090/14090]	Time 0.751 (0.754)	Data 0.001 (0.005)	Loss 2.8327 (2.7355)	Prec@1 32.812 (34.589)	Prec@5 63.281 (65.103)
Epoch: [28][1100/14090]	Time 0.748 (0.754)	Data 0.001 (0.005)	Loss 2.9024 (2.7361)	Prec@1 32.812 (34.579)	Prec@5 64.062 (65.094)
Epoch: [28][1110/14090]	Time 0.734 (0.754)	Data 0.001 (0.005)	Loss 2.6956 (2.7362)	Prec@1 32.812 (34.568)	Prec@5 67.969 (65.093)
Epoch: [28][1120/14090]	Time 0.774 (0.754)	Data 0.001 (0.005)	Loss 2.7192 (2.7366)	Prec@1 35.156 (34.576)	Prec@5 70.312 (65.095)
Epoch: [28][1130/14090]	Time 0.782 (0.754)	Data 0.001 (0.005)	Loss 2.7117 (2.7367)	Prec@1 34.375 (34.566)	Prec@5 66.406 (65.092)
Epoch: [28][1140/14090]	Time 0.744 (0.754)	Data 0.001 (0.005)	Loss 2.9856 (2.7377)	Prec@1 32.031 (34.561)	Prec@5 58.594 (65.079)
Epoch: [28][1150/14090]	Time 0.745 (0.754)	Data 0.002 (0.005)	Loss 2.6207 (2.7372)	Prec@1 34.375 (34.579)	Prec@5 64.062 (65.088)
Epoch: [28][1160/14090]	Time 0.789 (0.754)	Data 0.001 (0.004)	Loss 2.7882 (2.7377)	Prec@1 29.688 (34.569)	Prec@5 67.188 (65.078)
Epoch: [28][1170/14090]	Time 0.736 (0.754)	Data 0.001 (0.004)	Loss 2.8578 (2.7381)	Prec@1 30.469 (34.557)	Prec@5 62.500 (65.069)
Epoch: [28][1180/14090]	Time 0.743 (0.754)	Data 0.001 (0.004)	Loss 2.8865 (2.7378)	Prec@1 23.438 (34.559)	Prec@5 60.938 (65.072)
Epoch: [28][1190/14090]	Time 0.779 (0.754)	Data 0.001 (0.004)	Loss 2.5644 (2.7369)	Prec@1 31.250 (34.568)	Prec@5 70.312 (65.080)
Epoch: [28][1200/14090]	Time 0.775 (0.754)	Data 0.001 (0.004)	Loss 2.7678 (2.7369)	Prec@1 34.375 (34.570)	Prec@5 65.625 (65.084)
Epoch: [28][1210/14090]	Time 0.761 (0.754)	Data 0.001 (0.004)	Loss 2.6890 (2.7366)	Prec@1 28.906 (34.569)	Prec@5 64.844 (65.093)
Epoch: [28][1220/14090]	Time 0.729 (0.754)	Data 0.002 (0.004)	Loss 2.9447 (2.7365)	Prec@1 35.156 (34.573)	Prec@5 57.812 (65.089)
Epoch: [28][1230/14090]	Time 0.766 (0.754)	Data 0.001 (0.004)	Loss 2.9534 (2.7366)	Prec@1 30.469 (34.581)	Prec@5 59.375 (65.086)
Epoch: [28][1240/14090]	Time 0.734 (0.754)	Data 0.001 (0.004)	Loss 3.0638 (2.7370)	Prec@1 28.906 (34.576)	Prec@5 57.031 (65.081)
Epoch: [28][1250/14090]	Time 0.731 (0.754)	Data 0.001 (0.004)	Loss 2.6156 (2.7372)	Prec@1 38.281 (34.577)	Prec@5 65.625 (65.082)
Epoch: [28][1260/14090]	Time 0.745 (0.754)	Data 0.001 (0.004)	Loss 2.8560 (2.7371)	Prec@1 32.031 (34.575)	Prec@5 63.281 (65.082)
Epoch: [28][1270/14090]	Time 0.761 (0.754)	Data 0.001 (0.004)	Loss 2.8054 (2.7380)	Prec@1 28.906 (34.556)	Prec@5 61.719 (65.070)
Epoch: [28][1280/14090]	Time 0.776 (0.754)	Data 0.001 (0.004)	Loss 2.7306 (2.7382)	Prec@1 36.719 (34.560)	Prec@5 66.406 (65.072)
Epoch: [28][1290/14090]	Time 0.733 (0.754)	Data 0.002 (0.004)	Loss 2.5926 (2.7374)	Prec@1 34.375 (34.562)	Prec@5 71.094 (65.094)
Epoch: [28][1300/14090]	Time 0.735 (0.754)	Data 0.001 (0.004)	Loss 2.7899 (2.7386)	Prec@1 35.156 (34.544)	Prec@5 64.844 (65.060)
Epoch: [28][1310/14090]	Time 0.785 (0.754)	Data 0.002 (0.004)	Loss 2.6122 (2.7385)	Prec@1 41.406 (34.550)	Prec@5 65.625 (65.056)
Epoch: [28][1320/14090]	Time 0.738 (0.754)	Data 0.001 (0.004)	Loss 2.8687 (2.7382)	Prec@1 35.156 (34.555)	Prec@5 63.281 (65.068)
Epoch: [28][1330/14090]	Time 0.731 (0.754)	Data 0.000 (0.004)	Loss 2.9060 (2.7380)	Prec@1 33.594 (34.563)	Prec@5 64.062 (65.073)
Epoch: [28][1340/14090]	Time 0.786 (0.754)	Data 0.001 (0.004)	Loss 2.6653 (2.7370)	Prec@1 39.844 (34.586)	Prec@5 66.406 (65.095)
Epoch: [28][1350/14090]	Time 0.739 (0.754)	Data 0.001 (0.004)	Loss 2.5703 (2.7359)	Prec@1 41.406 (34.612)	Prec@5 67.188 (65.116)
Epoch: [28][1360/14090]	Time 0.733 (0.754)	Data 0.002 (0.004)	Loss 2.5895 (2.7354)	Prec@1 32.031 (34.626)	Prec@5 67.969 (65.115)
Epoch: [28][1370/14090]	Time 0.769 (0.754)	Data 0.001 (0.004)	Loss 2.8779 (2.7358)	Prec@1 26.562 (34.618)	Prec@5 60.938 (65.108)
Epoch: [28][1380/14090]	Time 0.731 (0.754)	Data 0.001 (0.004)	Loss 2.7235 (2.7363)	Prec@1 37.500 (34.606)	Prec@5 64.844 (65.093)
Epoch: [28][1390/14090]	Time 0.756 (0.753)	Data 0.001 (0.004)	Loss 2.5964 (2.7366)	Prec@1 35.156 (34.596)	Prec@5 69.531 (65.091)
Epoch: [28][1400/14090]	Time 0.769 (0.753)	Data 0.001 (0.004)	Loss 2.8789 (2.7361)	Prec@1 29.688 (34.614)	Prec@5 64.844 (65.104)
Epoch: [28][1410/14090]	Time 0.728 (0.753)	Data 0.001 (0.004)	Loss 2.3932 (2.7357)	Prec@1 48.438 (34.632)	Prec@5 73.438 (65.110)
Epoch: [28][1420/14090]	Time 0.750 (0.753)	Data 0.001 (0.004)	Loss 2.6184 (2.7357)	Prec@1 32.031 (34.626)	Prec@5 67.188 (65.119)
Epoch: [28][1430/14090]	Time 0.756 (0.753)	Data 0.002 (0.004)	Loss 2.6189 (2.7360)	Prec@1 34.375 (34.616)	Prec@5 66.406 (65.104)
Epoch: [28][1440/14090]	Time 0.773 (0.753)	Data 0.001 (0.004)	Loss 2.6496 (2.7355)	Prec@1 36.719 (34.628)	Prec@5 65.625 (65.115)
Epoch: [28][1450/14090]	Time 0.731 (0.753)	Data 0.001 (0.004)	Loss 2.4306 (2.7351)	Prec@1 39.844 (34.624)	Prec@5 73.438 (65.122)
Epoch: [28][1460/14090]	Time 0.775 (0.753)	Data 0.001 (0.004)	Loss 2.8884 (2.7345)	Prec@1 34.375 (34.648)	Prec@5 65.625 (65.146)
Epoch: [28][1470/14090]	Time 0.767 (0.753)	Data 0.001 (0.004)	Loss 2.5858 (2.7344)	Prec@1 36.719 (34.654)	Prec@5 71.094 (65.141)
Epoch: [28][1480/14090]	Time 0.747 (0.753)	Data 0.001 (0.004)	Loss 2.8562 (2.7341)	Prec@1 39.062 (34.658)	Prec@5 60.156 (65.139)
Epoch: [28][1490/14090]	Time 0.732 (0.753)	Data 0.001 (0.004)	Loss 2.7057 (2.7343)	Prec@1 34.375 (34.660)	Prec@5 68.750 (65.136)
Epoch: [28][1500/14090]	Time 0.727 (0.753)	Data 0.002 (0.004)	Loss 2.8630 (2.7339)	Prec@1 32.031 (34.671)	Prec@5 57.812 (65.141)
Epoch: [28][1510/14090]	Time 0.756 (0.753)	Data 0.001 (0.004)	Loss 2.9050 (2.7341)	Prec@1 35.156 (34.669)	Prec@5 64.062 (65.139)
Epoch: [28][1520/14090]	Time 0.767 (0.753)	Data 0.001 (0.004)	Loss 2.7998 (2.7343)	Prec@1 27.344 (34.664)	Prec@5 69.531 (65.137)
Epoch: [28][1530/14090]	Time 0.766 (0.753)	Data 0.001 (0.004)	Loss 2.7327 (2.7338)	Prec@1 39.844 (34.679)	Prec@5 66.406 (65.151)
Epoch: [28][1540/14090]	Time 0.751 (0.753)	Data 0.001 (0.004)	Loss 2.7053 (2.7343)	Prec@1 36.719 (34.674)	Prec@5 68.750 (65.130)
Epoch: [28][1550/14090]	Time 0.768 (0.753)	Data 0.001 (0.004)	Loss 2.9229 (2.7348)	Prec@1 27.344 (34.655)	Prec@5 60.938 (65.117)
Epoch: [28][1560/14090]	Time 0.763 (0.753)	Data 0.001 (0.004)	Loss 2.9181 (2.7349)	Prec@1 28.906 (34.644)	Prec@5 64.062 (65.112)
Epoch: [28][1570/14090]	Time 0.736 (0.753)	Data 0.002 (0.004)	Loss 2.6013 (2.7345)	Prec@1 39.062 (34.651)	Prec@5 65.625 (65.113)
Epoch: [28][1580/14090]	Time 0.748 (0.753)	Data 0.001 (0.004)	Loss 2.4131 (2.7343)	Prec@1 39.062 (34.648)	Prec@5 71.094 (65.119)
Epoch: [28][1590/14090]	Time 0.738 (0.753)	Data 0.001 (0.004)	Loss 2.4447 (2.7346)	Prec@1 43.750 (34.641)	Prec@5 71.875 (65.118)
Epoch: [28][1600/14090]	Time 0.754 (0.753)	Data 0.001 (0.004)	Loss 2.8375 (2.7344)	Prec@1 35.938 (34.637)	Prec@5 64.844 (65.127)
Epoch: [28][1610/14090]	Time 0.728 (0.753)	Data 0.001 (0.004)	Loss 2.9670 (2.7342)	Prec@1 29.688 (34.645)	Prec@5 57.812 (65.129)
Epoch: [28][1620/14090]	Time 0.768 (0.753)	Data 0.001 (0.003)	Loss 2.5876 (2.7341)	Prec@1 36.719 (34.650)	Prec@5 71.094 (65.125)
Epoch: [28][1630/14090]	Time 0.778 (0.753)	Data 0.001 (0.003)	Loss 2.7421 (2.7339)	Prec@1 35.156 (34.654)	Prec@5 63.281 (65.129)
Epoch: [28][1640/14090]	Time 0.746 (0.753)	Data 0.002 (0.003)	Loss 2.6996 (2.7338)	Prec@1 37.500 (34.654)	Prec@5 64.844 (65.119)
Epoch: [28][1650/14090]	Time 0.744 (0.753)	Data 0.001 (0.003)	Loss 2.7165 (2.7339)	Prec@1 34.375 (34.655)	Prec@5 64.844 (65.115)
Epoch: [28][1660/14090]	Time 0.776 (0.753)	Data 0.001 (0.003)	Loss 2.8389 (2.7338)	Prec@1 32.031 (34.663)	Prec@5 59.375 (65.110)
Epoch: [28][1670/14090]	Time 0.727 (0.753)	Data 0.001 (0.003)	Loss 2.8011 (2.7339)	Prec@1 29.688 (34.649)	Prec@5 63.281 (65.101)
Epoch: [28][1680/14090]	Time 0.748 (0.753)	Data 0.001 (0.003)	Loss 2.6276 (2.7340)	Prec@1 37.500 (34.644)	Prec@5 71.875 (65.107)
Epoch: [28][1690/14090]	Time 0.768 (0.753)	Data 0.001 (0.003)	Loss 2.7108 (2.7339)	Prec@1 32.031 (34.636)	Prec@5 64.062 (65.108)
Epoch: [28][1700/14090]	Time 0.743 (0.753)	Data 0.001 (0.003)	Loss 2.5500 (2.7339)	Prec@1 36.719 (34.638)	Prec@5 68.750 (65.108)
Epoch: [28][1710/14090]	Time 0.748 (0.753)	Data 0.002 (0.003)	Loss 2.6848 (2.7333)	Prec@1 39.062 (34.659)	Prec@5 68.750 (65.118)
Epoch: [28][1720/14090]	Time 0.769 (0.753)	Data 0.001 (0.003)	Loss 2.7874 (2.7333)	Prec@1 31.250 (34.656)	Prec@5 64.062 (65.111)
Epoch: [28][1730/14090]	Time 0.756 (0.753)	Data 0.001 (0.003)	Loss 2.6372 (2.7333)	Prec@1 34.375 (34.662)	Prec@5 64.844 (65.115)
Epoch: [28][1740/14090]	Time 0.773 (0.753)	Data 0.001 (0.003)	Loss 2.8857 (2.7341)	Prec@1 26.562 (34.645)	Prec@5 61.719 (65.098)
Epoch: [28][1750/14090]	Time 0.778 (0.753)	Data 0.001 (0.003)	Loss 2.9139 (2.7339)	Prec@1 34.375 (34.660)	Prec@5 60.156 (65.102)
Epoch: [28][1760/14090]	Time 0.759 (0.753)	Data 0.001 (0.003)	Loss 2.9843 (2.7342)	Prec@1 27.344 (34.651)	Prec@5 65.625 (65.105)
Epoch: [28][1770/14090]	Time 0.748 (0.753)	Data 0.001 (0.003)	Loss 2.4722 (2.7340)	Prec@1 36.719 (34.656)	Prec@5 71.094 (65.104)
Epoch: [28][1780/14090]	Time 0.740 (0.753)	Data 0.002 (0.003)	Loss 3.0520 (2.7344)	Prec@1 27.344 (34.649)	Prec@5 60.938 (65.115)
Epoch: [28][1790/14090]	Time 0.761 (0.753)	Data 0.001 (0.003)	Loss 2.6965 (2.7347)	Prec@1 29.688 (34.644)	Prec@5 67.969 (65.112)
Epoch: [28][1800/14090]	Time 0.739 (0.753)	Data 0.001 (0.003)	Loss 2.8403 (2.7348)	Prec@1 39.062 (34.639)	Prec@5 60.938 (65.114)
Epoch: [28][1810/14090]	Time 0.733 (0.753)	Data 0.001 (0.003)	Loss 2.9166 (2.7352)	Prec@1 33.594 (34.643)	Prec@5 62.500 (65.105)
Epoch: [28][1820/14090]	Time 0.774 (0.753)	Data 0.001 (0.003)	Loss 2.5364 (2.7349)	Prec@1 40.625 (34.650)	Prec@5 67.969 (65.109)
Epoch: [28][1830/14090]	Time 0.748 (0.753)	Data 0.001 (0.003)	Loss 2.7799 (2.7347)	Prec@1 36.719 (34.659)	Prec@5 63.281 (65.116)
Epoch: [28][1840/14090]	Time 0.770 (0.753)	Data 0.001 (0.003)	Loss 2.7254 (2.7351)	Prec@1 32.812 (34.645)	Prec@5 64.062 (65.112)
Epoch: [28][1850/14090]	Time 0.731 (0.753)	Data 0.002 (0.003)	Loss 2.7896 (2.7351)	Prec@1 31.250 (34.639)	Prec@5 63.281 (65.107)
Epoch: [28][1860/14090]	Time 0.747 (0.753)	Data 0.001 (0.003)	Loss 2.8522 (2.7352)	Prec@1 32.031 (34.640)	Prec@5 60.938 (65.098)
Epoch: [28][1870/14090]	Time 0.727 (0.753)	Data 0.001 (0.003)	Loss 2.2812 (2.7347)	Prec@1 39.062 (34.652)	Prec@5 72.656 (65.112)
Epoch: [28][1880/14090]	Time 0.774 (0.753)	Data 0.001 (0.003)	Loss 2.9354 (2.7351)	Prec@1 31.250 (34.642)	Prec@5 60.938 (65.109)
Epoch: [28][1890/14090]	Time 0.767 (0.753)	Data 0.001 (0.003)	Loss 2.6364 (2.7355)	Prec@1 32.812 (34.637)	Prec@5 67.188 (65.102)
Epoch: [28][1900/14090]	Time 0.745 (0.753)	Data 0.001 (0.003)	Loss 2.6515 (2.7356)	Prec@1 35.156 (34.631)	Prec@5 68.750 (65.105)
Epoch: [28][1910/14090]	Time 0.730 (0.753)	Data 0.001 (0.003)	Loss 2.8035 (2.7360)	Prec@1 31.250 (34.623)	Prec@5 64.062 (65.104)
Epoch: [28][1920/14090]	Time 0.771 (0.753)	Data 0.002 (0.003)	Loss 2.6468 (2.7361)	Prec@1 37.500 (34.616)	Prec@5 65.625 (65.103)
Epoch: [28][1930/14090]	Time 0.734 (0.753)	Data 0.001 (0.003)	Loss 2.8454 (2.7360)	Prec@1 35.156 (34.625)	Prec@5 60.156 (65.105)
Epoch: [28][1940/14090]	Time 0.755 (0.753)	Data 0.001 (0.003)	Loss 3.1179 (2.7362)	Prec@1 28.125 (34.629)	Prec@5 57.031 (65.092)
Epoch: [28][1950/14090]	Time 0.732 (0.753)	Data 0.001 (0.003)	Loss 2.8020 (2.7362)	Prec@1 36.719 (34.627)	Prec@5 64.062 (65.094)
Epoch: [28][1960/14090]	Time 0.750 (0.753)	Data 0.001 (0.003)	Loss 2.8356 (2.7366)	Prec@1 29.688 (34.616)	Prec@5 63.281 (65.087)
Epoch: [28][1970/14090]	Time 0.729 (0.753)	Data 0.001 (0.003)	Loss 2.6483 (2.7367)	Prec@1 42.188 (34.622)	Prec@5 67.969 (65.086)
Epoch: [28][1980/14090]	Time 0.740 (0.753)	Data 0.001 (0.003)	Loss 2.8419 (2.7366)	Prec@1 32.031 (34.623)	Prec@5 63.281 (65.092)
Epoch: [28][1990/14090]	Time 0.778 (0.753)	Data 0.002 (0.003)	Loss 2.6676 (2.7363)	Prec@1 42.969 (34.628)	Prec@5 65.625 (65.100)
Epoch: [28][2000/14090]	Time 0.741 (0.753)	Data 0.001 (0.003)	Loss 2.8078 (2.7362)	Prec@1 34.375 (34.636)	Prec@5 60.938 (65.095)
Epoch: [28][2010/14090]	Time 0.747 (0.753)	Data 0.001 (0.003)	Loss 3.0576 (2.7361)	Prec@1 29.688 (34.635)	Prec@5 55.469 (65.096)
Epoch: [28][2020/14090]	Time 0.758 (0.753)	Data 0.001 (0.003)	Loss 2.6636 (2.7360)	Prec@1 35.156 (34.630)	Prec@5 67.969 (65.095)
Epoch: [28][2030/14090]	Time 0.770 (0.753)	Data 0.001 (0.003)	Loss 2.6780 (2.7363)	Prec@1 34.375 (34.629)	Prec@5 65.625 (65.095)
Epoch: [28][2040/14090]	Time 0.727 (0.753)	Data 0.001 (0.003)	Loss 2.6899 (2.7359)	Prec@1 39.062 (34.633)	Prec@5 65.625 (65.106)
Epoch: [28][2050/14090]	Time 0.758 (0.753)	Data 0.001 (0.003)	Loss 2.7991 (2.7355)	Prec@1 33.594 (34.637)	Prec@5 60.938 (65.116)
Epoch: [28][2060/14090]	Time 0.760 (0.753)	Data 0.002 (0.003)	Loss 2.8264 (2.7353)	Prec@1 33.594 (34.647)	Prec@5 66.406 (65.122)
Epoch: [28][2070/14090]	Time 0.757 (0.753)	Data 0.001 (0.003)	Loss 2.6278 (2.7355)	Prec@1 34.375 (34.640)	Prec@5 65.625 (65.115)
Epoch: [28][2080/14090]	Time 0.741 (0.753)	Data 0.001 (0.003)	Loss 2.6601 (2.7354)	Prec@1 35.938 (34.646)	Prec@5 66.406 (65.117)
Epoch: [28][2090/14090]	Time 0.763 (0.753)	Data 0.001 (0.003)	Loss 2.6969 (2.7352)	Prec@1 28.906 (34.642)	Prec@5 64.844 (65.127)
Epoch: [28][2100/14090]	Time 0.741 (0.753)	Data 0.001 (0.003)	Loss 2.8126 (2.7354)	Prec@1 29.688 (34.643)	Prec@5 64.062 (65.119)
Epoch: [28][2110/14090]	Time 0.736 (0.753)	Data 0.001 (0.003)	Loss 2.9182 (2.7352)	Prec@1 33.594 (34.654)	Prec@5 64.062 (65.125)
Epoch: [28][2120/14090]	Time 0.743 (0.753)	Data 0.001 (0.003)	Loss 2.7887 (2.7352)	Prec@1 38.281 (34.653)	Prec@5 56.250 (65.119)
Epoch: [28][2130/14090]	Time 0.778 (0.753)	Data 0.002 (0.003)	Loss 2.8328 (2.7357)	Prec@1 35.156 (34.643)	Prec@5 64.062 (65.107)
Epoch: [28][2140/14090]	Time 0.726 (0.753)	Data 0.001 (0.003)	Loss 2.9550 (2.7359)	Prec@1 35.156 (34.638)	Prec@5 64.844 (65.108)
Epoch: [28][2150/14090]	Time 0.737 (0.753)	Data 0.001 (0.003)	Loss 2.9228 (2.7355)	Prec@1 33.594 (34.637)	Prec@5 60.938 (65.120)
Epoch: [28][2160/14090]	Time 0.765 (0.753)	Data 0.001 (0.003)	Loss 2.7509 (2.7356)	Prec@1 30.469 (34.628)	Prec@5 67.969 (65.121)
Epoch: [28][2170/14090]	Time 0.775 (0.753)	Data 0.001 (0.003)	Loss 2.7386 (2.7359)	Prec@1 31.250 (34.627)	Prec@5 64.844 (65.114)
Epoch: [28][2180/14090]	Time 0.745 (0.753)	Data 0.001 (0.003)	Loss 2.7271 (2.7362)	Prec@1 39.062 (34.623)	Prec@5 63.281 (65.112)
Epoch: [28][2190/14090]	Time 0.746 (0.753)	Data 0.001 (0.003)	Loss 2.9502 (2.7365)	Prec@1 28.906 (34.616)	Prec@5 65.625 (65.109)
Epoch: [28][2200/14090]	Time 0.726 (0.753)	Data 0.002 (0.003)	Loss 2.9754 (2.7366)	Prec@1 31.250 (34.610)	Prec@5 57.812 (65.100)
Epoch: [28][2210/14090]	Time 0.760 (0.752)	Data 0.001 (0.003)	Loss 2.9542 (2.7368)	Prec@1 29.688 (34.613)	Prec@5 60.938 (65.094)
Epoch: [28][2220/14090]	Time 0.774 (0.753)	Data 0.001 (0.003)	Loss 2.7027 (2.7366)	Prec@1 36.719 (34.615)	Prec@5 69.531 (65.103)
Epoch: [28][2230/14090]	Time 0.771 (0.753)	Data 0.001 (0.003)	Loss 2.5010 (2.7360)	Prec@1 42.188 (34.625)	Prec@5 64.062 (65.112)
Epoch: [28][2240/14090]	Time 0.779 (0.753)	Data 0.001 (0.003)	Loss 2.6767 (2.7359)	Prec@1 34.375 (34.621)	Prec@5 65.625 (65.120)
Epoch: [28][2250/14090]	Time 0.740 (0.753)	Data 0.001 (0.003)	Loss 2.6551 (2.7354)	Prec@1 32.812 (34.628)	Prec@5 68.750 (65.127)
Epoch: [28][2260/14090]	Time 0.755 (0.753)	Data 0.001 (0.003)	Loss 2.5074 (2.7352)	Prec@1 35.938 (34.624)	Prec@5 73.438 (65.133)
Epoch: [28][2270/14090]	Time 0.776 (0.753)	Data 0.002 (0.003)	Loss 2.9886 (2.7356)	Prec@1 28.125 (34.612)	Prec@5 54.688 (65.127)
Epoch: [28][2280/14090]	Time 0.780 (0.753)	Data 0.001 (0.003)	Loss 2.8271 (2.7356)	Prec@1 36.719 (34.614)	Prec@5 64.062 (65.128)
Epoch: [28][2290/14090]	Time 0.751 (0.753)	Data 0.001 (0.003)	Loss 2.7204 (2.7357)	Prec@1 29.688 (34.600)	Prec@5 65.625 (65.127)
Epoch: [28][2300/14090]	Time 0.727 (0.753)	Data 0.001 (0.003)	Loss 2.7363 (2.7355)	Prec@1 39.844 (34.611)	Prec@5 67.969 (65.132)
Epoch: [28][2310/14090]	Time 0.772 (0.753)	Data 0.001 (0.003)	Loss 2.9707 (2.7351)	Prec@1 28.906 (34.614)	Prec@5 60.156 (65.137)
Epoch: [28][2320/14090]	Time 0.734 (0.753)	Data 0.001 (0.003)	Loss 2.6289 (2.7353)	Prec@1 35.938 (34.605)	Prec@5 64.844 (65.129)
Epoch: [28][2330/14090]	Time 0.732 (0.752)	Data 0.001 (0.003)	Loss 2.8391 (2.7351)	Prec@1 30.469 (34.612)	Prec@5 64.844 (65.130)
Epoch: [28][2340/14090]	Time 0.745 (0.752)	Data 0.002 (0.003)	Loss 2.7978 (2.7349)	Prec@1 27.344 (34.612)	Prec@5 62.500 (65.127)
Epoch: [28][2350/14090]	Time 0.737 (0.752)	Data 0.001 (0.003)	Loss 2.4423 (2.7348)	Prec@1 38.281 (34.614)	Prec@5 72.656 (65.125)
Epoch: [28][2360/14090]	Time 0.735 (0.752)	Data 0.001 (0.003)	Loss 2.6470 (2.7348)	Prec@1 32.031 (34.614)	Prec@5 67.188 (65.123)
Epoch: [28][2370/14090]	Time 0.759 (0.752)	Data 0.001 (0.003)	Loss 2.8500 (2.7353)	Prec@1 32.812 (34.604)	Prec@5 63.281 (65.114)
Epoch: [28][2380/14090]	Time 0.727 (0.752)	Data 0.001 (0.003)	Loss 2.8668 (2.7355)	Prec@1 32.031 (34.601)	Prec@5 61.719 (65.107)
Epoch: [28][2390/14090]	Time 0.738 (0.752)	Data 0.001 (0.003)	Loss 2.5117 (2.7357)	Prec@1 31.250 (34.591)	Prec@5 72.656 (65.102)
Epoch: [28][2400/14090]	Time 0.745 (0.752)	Data 0.001 (0.003)	Loss 2.9496 (2.7354)	Prec@1 33.594 (34.593)	Prec@5 58.594 (65.102)
Epoch: [28][2410/14090]	Time 0.749 (0.752)	Data 0.002 (0.003)	Loss 2.5253 (2.7349)	Prec@1 40.625 (34.609)	Prec@5 64.844 (65.106)
Epoch: [28][2420/14090]	Time 0.774 (0.752)	Data 0.001 (0.003)	Loss 2.8233 (2.7349)	Prec@1 34.375 (34.610)	Prec@5 64.844 (65.113)
Epoch: [28][2430/14090]	Time 0.758 (0.752)	Data 0.001 (0.003)	Loss 2.6951 (2.7351)	Prec@1 34.375 (34.615)	Prec@5 60.938 (65.107)
Epoch: [28][2440/14090]	Time 0.742 (0.752)	Data 0.001 (0.003)	Loss 2.5764 (2.7350)	Prec@1 37.500 (34.615)	Prec@5 73.438 (65.114)
Epoch: [28][2450/14090]	Time 0.728 (0.752)	Data 0.001 (0.003)	Loss 2.5265 (2.7349)	Prec@1 35.938 (34.618)	Prec@5 73.438 (65.111)
Epoch: [28][2460/14090]	Time 0.777 (0.752)	Data 0.001 (0.003)	Loss 2.8564 (2.7350)	Prec@1 33.594 (34.617)	Prec@5 60.938 (65.108)
Epoch: [28][2470/14090]	Time 0.739 (0.752)	Data 0.001 (0.003)	Loss 2.5933 (2.7350)	Prec@1 36.719 (34.608)	Prec@5 67.188 (65.107)
Epoch: [28][2480/14090]	Time 0.760 (0.752)	Data 0.002 (0.003)	Loss 2.4983 (2.7348)	Prec@1 42.188 (34.611)	Prec@5 67.969 (65.113)
Epoch: [28][2490/14090]	Time 0.743 (0.752)	Data 0.001 (0.003)	Loss 2.5687 (2.7350)	Prec@1 39.844 (34.607)	Prec@5 71.094 (65.113)
Epoch: [28][2500/14090]	Time 0.780 (0.752)	Data 0.001 (0.003)	Loss 2.4820 (2.7348)	Prec@1 40.625 (34.615)	Prec@5 69.531 (65.116)
Epoch: [28][2510/14090]	Time 0.738 (0.752)	Data 0.001 (0.003)	Loss 2.5340 (2.7346)	Prec@1 40.625 (34.617)	Prec@5 67.188 (65.118)
Epoch: [28][2520/14090]	Time 0.771 (0.752)	Data 0.001 (0.003)	Loss 2.6413 (2.7348)	Prec@1 34.375 (34.612)	Prec@5 64.062 (65.115)
Epoch: [28][2530/14090]	Time 0.742 (0.752)	Data 0.001 (0.003)	Loss 2.7817 (2.7346)	Prec@1 29.688 (34.615)	Prec@5 66.406 (65.113)
Epoch: [28][2540/14090]	Time 0.724 (0.752)	Data 0.001 (0.003)	Loss 2.7522 (2.7347)	Prec@1 29.688 (34.613)	Prec@5 59.375 (65.116)
Epoch: [28][2550/14090]	Time 0.741 (0.752)	Data 0.002 (0.003)	Loss 2.6663 (2.7346)	Prec@1 39.062 (34.618)	Prec@5 64.062 (65.117)
Epoch: [28][2560/14090]	Time 0.756 (0.752)	Data 0.001 (0.003)	Loss 2.7784 (2.7347)	Prec@1 33.594 (34.618)	Prec@5 68.750 (65.120)
Epoch: [28][2570/14090]	Time 0.729 (0.752)	Data 0.001 (0.003)	Loss 2.6042 (2.7347)	Prec@1 37.500 (34.615)	Prec@5 67.188 (65.121)
Epoch: [28][2580/14090]	Time 0.731 (0.752)	Data 0.001 (0.003)	Loss 2.5612 (2.7346)	Prec@1 38.281 (34.620)	Prec@5 61.719 (65.119)
Epoch: [28][2590/14090]	Time 0.737 (0.752)	Data 0.001 (0.003)	Loss 2.8920 (2.7351)	Prec@1 34.375 (34.610)	Prec@5 66.406 (65.110)
Epoch: [28][2600/14090]	Time 0.766 (0.752)	Data 0.001 (0.003)	Loss 2.3828 (2.7349)	Prec@1 44.531 (34.616)	Prec@5 69.531 (65.113)
Epoch: [28][2610/14090]	Time 0.745 (0.752)	Data 0.001 (0.003)	Loss 2.9026 (2.7351)	Prec@1 30.469 (34.617)	Prec@5 58.594 (65.110)
Epoch: [28][2620/14090]	Time 0.734 (0.752)	Data 0.002 (0.003)	Loss 2.8287 (2.7349)	Prec@1 32.031 (34.618)	Prec@5 57.812 (65.113)
Epoch: [28][2630/14090]	Time 0.740 (0.752)	Data 0.001 (0.003)	Loss 2.2663 (2.7345)	Prec@1 43.750 (34.627)	Prec@5 78.125 (65.123)
Epoch: [28][2640/14090]	Time 0.739 (0.752)	Data 0.001 (0.003)	Loss 2.6990 (2.7344)	Prec@1 36.719 (34.628)	Prec@5 67.188 (65.125)
Epoch: [28][2650/14090]	Time 0.738 (0.752)	Data 0.001 (0.003)	Loss 2.7696 (2.7347)	Prec@1 34.375 (34.625)	Prec@5 62.500 (65.114)
Epoch: [28][2660/14090]	Time 0.740 (0.752)	Data 0.001 (0.003)	Loss 2.7100 (2.7346)	Prec@1 36.719 (34.626)	Prec@5 65.625 (65.112)
Epoch: [28][2670/14090]	Time 0.737 (0.752)	Data 0.001 (0.002)	Loss 2.5993 (2.7347)	Prec@1 35.156 (34.619)	Prec@5 70.312 (65.110)
Epoch: [28][2680/14090]	Time 0.747 (0.752)	Data 0.001 (0.002)	Loss 2.7635 (2.7348)	Prec@1 32.812 (34.614)	Prec@5 64.062 (65.113)
Epoch: [28][2690/14090]	Time 0.732 (0.752)	Data 0.002 (0.002)	Loss 2.6617 (2.7346)	Prec@1 35.156 (34.616)	Prec@5 68.750 (65.122)
Epoch: [28][2700/14090]	Time 0.766 (0.752)	Data 0.001 (0.002)	Loss 2.5055 (2.7342)	Prec@1 39.062 (34.620)	Prec@5 70.312 (65.131)
Epoch: [28][2710/14090]	Time 0.752 (0.752)	Data 0.001 (0.002)	Loss 2.8703 (2.7342)	Prec@1 31.250 (34.619)	Prec@5 65.625 (65.135)
Epoch: [28][2720/14090]	Time 0.728 (0.752)	Data 0.001 (0.002)	Loss 2.7778 (2.7339)	Prec@1 35.156 (34.626)	Prec@5 66.406 (65.139)
Epoch: [28][2730/14090]	Time 0.747 (0.752)	Data 0.001 (0.002)	Loss 2.5522 (2.7339)	Prec@1 36.719 (34.626)	Prec@5 67.969 (65.139)
Epoch: [28][2740/14090]	Time 0.731 (0.752)	Data 0.001 (0.002)	Loss 2.9502 (2.7342)	Prec@1 35.938 (34.622)	Prec@5 57.031 (65.130)
Epoch: [28][2750/14090]	Time 0.758 (0.752)	Data 0.001 (0.002)	Loss 2.7436 (2.7343)	Prec@1 33.594 (34.624)	Prec@5 64.062 (65.129)
Epoch: [28][2760/14090]	Time 0.748 (0.752)	Data 0.002 (0.002)	Loss 2.7960 (2.7341)	Prec@1 36.719 (34.625)	Prec@5 60.938 (65.131)
Epoch: [28][2770/14090]	Time 0.742 (0.752)	Data 0.001 (0.002)	Loss 2.8939 (2.7340)	Prec@1 38.281 (34.626)	Prec@5 61.719 (65.131)
Epoch: [28][2780/14090]	Time 0.723 (0.752)	Data 0.001 (0.002)	Loss 2.8361 (2.7340)	Prec@1 32.031 (34.626)	Prec@5 69.531 (65.135)
Epoch: [28][2790/14090]	Time 0.756 (0.752)	Data 0.001 (0.002)	Loss 2.7194 (2.7341)	Prec@1 35.938 (34.625)	Prec@5 62.500 (65.130)
Epoch: [28][2800/14090]	Time 0.746 (0.752)	Data 0.001 (0.002)	Loss 2.4236 (2.7337)	Prec@1 38.281 (34.624)	Prec@5 71.094 (65.135)
Epoch: [28][2810/14090]	Time 0.758 (0.752)	Data 0.001 (0.002)	Loss 2.5202 (2.7339)	Prec@1 32.812 (34.619)	Prec@5 75.000 (65.133)
Epoch: [28][2820/14090]	Time 0.762 (0.752)	Data 0.001 (0.002)	Loss 2.9440 (2.7342)	Prec@1 32.031 (34.610)	Prec@5 60.156 (65.128)
Epoch: [28][2830/14090]	Time 0.718 (0.752)	Data 0.003 (0.002)	Loss 2.4544 (2.7342)	Prec@1 42.188 (34.611)	Prec@5 67.969 (65.126)
Epoch: [28][2840/14090]	Time 0.747 (0.752)	Data 0.001 (0.002)	Loss 2.7025 (2.7343)	Prec@1 41.406 (34.610)	Prec@5 64.844 (65.119)
Epoch: [28][2850/14090]	Time 0.729 (0.752)	Data 0.001 (0.002)	Loss 2.7686 (2.7344)	Prec@1 36.719 (34.611)	Prec@5 67.969 (65.115)
Epoch: [28][2860/14090]	Time 0.750 (0.752)	Data 0.001 (0.002)	Loss 2.6631 (2.7343)	Prec@1 38.281 (34.611)	Prec@5 64.844 (65.114)
Epoch: [28][2870/14090]	Time 0.759 (0.752)	Data 0.001 (0.002)	Loss 2.8309 (2.7346)	Prec@1 28.906 (34.607)	Prec@5 64.062 (65.111)
Epoch: [28][2880/14090]	Time 0.760 (0.752)	Data 0.001 (0.002)	Loss 2.8573 (2.7346)	Prec@1 33.594 (34.605)	Prec@5 61.719 (65.109)
Epoch: [28][2890/14090]	Time 0.727 (0.752)	Data 0.001 (0.002)	Loss 2.7299 (2.7346)	Prec@1 32.812 (34.603)	Prec@5 64.062 (65.112)
Epoch: [28][2900/14090]	Time 0.766 (0.752)	Data 0.002 (0.002)	Loss 2.9563 (2.7345)	Prec@1 32.031 (34.608)	Prec@5 60.156 (65.113)
Epoch: [28][2910/14090]	Time 0.729 (0.752)	Data 0.001 (0.002)	Loss 2.7619 (2.7347)	Prec@1 32.812 (34.608)	Prec@5 66.406 (65.105)
Epoch: [28][2920/14090]	Time 0.733 (0.752)	Data 0.001 (0.002)	Loss 2.7997 (2.7347)	Prec@1 29.688 (34.609)	Prec@5 64.844 (65.102)
Epoch: [28][2930/14090]	Time 0.770 (0.752)	Data 0.001 (0.002)	Loss 2.7413 (2.7347)	Prec@1 32.031 (34.609)	Prec@5 64.844 (65.101)
Epoch: [28][2940/14090]	Time 0.772 (0.752)	Data 0.001 (0.002)	Loss 2.8909 (2.7345)	Prec@1 27.344 (34.611)	Prec@5 63.281 (65.105)
Epoch: [28][2950/14090]	Time 0.734 (0.752)	Data 0.001 (0.002)	Loss 3.0018 (2.7342)	Prec@1 32.031 (34.621)	Prec@5 63.281 (65.111)
Epoch: [28][2960/14090]	Time 0.754 (0.752)	Data 0.001 (0.002)	Loss 2.3589 (2.7342)	Prec@1 44.531 (34.622)	Prec@5 68.750 (65.111)
Epoch: [28][2970/14090]	Time 0.738 (0.752)	Data 0.002 (0.002)	Loss 2.9523 (2.7344)	Prec@1 28.125 (34.619)	Prec@5 61.719 (65.109)
Epoch: [28][2980/14090]	Time 0.779 (0.752)	Data 0.001 (0.002)	Loss 2.9676 (2.7344)	Prec@1 32.812 (34.612)	Prec@5 58.594 (65.102)
Epoch: [28][2990/14090]	Time 0.745 (0.752)	Data 0.001 (0.002)	Loss 2.9499 (2.7343)	Prec@1 32.812 (34.613)	Prec@5 61.719 (65.110)
Epoch: [28][3000/14090]	Time 0.728 (0.752)	Data 0.001 (0.002)	Loss 3.0735 (2.7344)	Prec@1 28.906 (34.612)	Prec@5 62.500 (65.110)
Epoch: [28][3010/14090]	Time 0.736 (0.752)	Data 0.001 (0.002)	Loss 2.7103 (2.7342)	Prec@1 40.625 (34.623)	Prec@5 64.844 (65.116)
Epoch: [28][3020/14090]	Time 0.723 (0.752)	Data 0.001 (0.002)	Loss 2.8941 (2.7342)	Prec@1 32.031 (34.623)	Prec@5 58.594 (65.116)
Epoch: [28][3030/14090]	Time 0.760 (0.752)	Data 0.001 (0.002)	Loss 2.8193 (2.7345)	Prec@1 30.469 (34.618)	Prec@5 58.594 (65.113)
Epoch: [28][3040/14090]	Time 0.749 (0.752)	Data 0.002 (0.002)	Loss 2.7984 (2.7344)	Prec@1 39.844 (34.623)	Prec@5 60.938 (65.113)
Epoch: [28][3050/14090]	Time 0.776 (0.752)	Data 0.001 (0.002)	Loss 2.5929 (2.7344)	Prec@1 40.625 (34.633)	Prec@5 71.094 (65.119)
Epoch: [28][3060/14090]	Time 0.739 (0.752)	Data 0.001 (0.002)	Loss 2.7061 (2.7343)	Prec@1 36.719 (34.630)	Prec@5 63.281 (65.121)
Epoch: [28][3070/14090]	Time 0.761 (0.752)	Data 0.001 (0.002)	Loss 2.2531 (2.7343)	Prec@1 46.094 (34.636)	Prec@5 75.781 (65.123)
Epoch: [28][3080/14090]	Time 0.752 (0.752)	Data 0.001 (0.002)	Loss 2.8198 (2.7339)	Prec@1 39.062 (34.642)	Prec@5 60.938 (65.127)
Epoch: [28][3090/14090]	Time 0.782 (0.752)	Data 0.001 (0.002)	Loss 2.9244 (2.7342)	Prec@1 28.125 (34.638)	Prec@5 59.375 (65.126)
Epoch: [28][3100/14090]	Time 0.750 (0.752)	Data 0.005 (0.002)	Loss 2.8522 (2.7341)	Prec@1 30.469 (34.641)	Prec@5 61.719 (65.127)
Epoch: [28][3110/14090]	Time 0.745 (0.752)	Data 0.002 (0.002)	Loss 2.9061 (2.7342)	Prec@1 32.812 (34.637)	Prec@5 60.156 (65.123)
Epoch: [28][3120/14090]	Time 0.745 (0.752)	Data 0.001 (0.002)	Loss 2.8838 (2.7343)	Prec@1 35.938 (34.637)	Prec@5 60.156 (65.119)
Epoch: [28][3130/14090]	Time 0.786 (0.752)	Data 0.001 (0.002)	Loss 2.4915 (2.7346)	Prec@1 40.625 (34.635)	Prec@5 68.750 (65.110)
Epoch: [28][3140/14090]	Time 0.779 (0.752)	Data 0.001 (0.002)	Loss 2.5398 (2.7345)	Prec@1 39.844 (34.636)	Prec@5 71.094 (65.112)
Epoch: [28][3150/14090]	Time 0.724 (0.752)	Data 0.001 (0.002)	Loss 2.7566 (2.7343)	Prec@1 32.812 (34.637)	Prec@5 67.969 (65.114)
Epoch: [28][3160/14090]	Time 0.751 (0.752)	Data 0.001 (0.002)	Loss 2.6310 (2.7343)	Prec@1 34.375 (34.632)	Prec@5 65.625 (65.113)
Epoch: [28][3170/14090]	Time 0.750 (0.752)	Data 0.001 (0.002)	Loss 2.8605 (2.7344)	Prec@1 31.250 (34.634)	Prec@5 64.844 (65.114)
Epoch: [28][3180/14090]	Time 0.774 (0.752)	Data 0.002 (0.002)	Loss 2.8919 (2.7347)	Prec@1 34.375 (34.628)	Prec@5 58.594 (65.100)
Epoch: [28][3190/14090]	Time 0.773 (0.752)	Data 0.001 (0.002)	Loss 2.6535 (2.7349)	Prec@1 35.938 (34.632)	Prec@5 62.500 (65.095)
Epoch: [28][3200/14090]	Time 0.756 (0.752)	Data 0.001 (0.002)	Loss 2.8617 (2.7346)	Prec@1 32.031 (34.634)	Prec@5 62.500 (65.098)
Epoch: [28][3210/14090]	Time 0.754 (0.752)	Data 0.001 (0.002)	Loss 2.9074 (2.7347)	Prec@1 28.906 (34.632)	Prec@5 61.719 (65.097)
Epoch: [28][3220/14090]	Time 0.744 (0.752)	Data 0.001 (0.002)	Loss 2.4563 (2.7347)	Prec@1 35.938 (34.629)	Prec@5 72.656 (65.098)
Epoch: [28][3230/14090]	Time 0.734 (0.752)	Data 0.001 (0.002)	Loss 2.6193 (2.7347)	Prec@1 34.375 (34.625)	Prec@5 66.406 (65.098)
Epoch: [28][3240/14090]	Time 0.792 (0.752)	Data 0.001 (0.002)	Loss 3.0429 (2.7352)	Prec@1 31.250 (34.616)	Prec@5 60.938 (65.091)
Epoch: [28][3250/14090]	Time 0.736 (0.752)	Data 0.002 (0.002)	Loss 2.5017 (2.7350)	Prec@1 35.156 (34.615)	Prec@5 71.875 (65.096)
Epoch: [28][3260/14090]	Time 0.734 (0.752)	Data 0.001 (0.002)	Loss 2.8439 (2.7348)	Prec@1 31.250 (34.620)	Prec@5 63.281 (65.099)
Epoch: [28][3270/14090]	Time 0.745 (0.752)	Data 0.001 (0.002)	Loss 2.7862 (2.7350)	Prec@1 32.812 (34.620)	Prec@5 64.062 (65.092)
Epoch: [28][3280/14090]	Time 0.732 (0.752)	Data 0.001 (0.002)	Loss 2.8017 (2.7350)	Prec@1 29.688 (34.616)	Prec@5 63.281 (65.089)
Epoch: [28][3290/14090]	Time 0.753 (0.752)	Data 0.001 (0.002)	Loss 2.9400 (2.7352)	Prec@1 27.344 (34.611)	Prec@5 57.812 (65.088)
Epoch: [28][3300/14090]	Time 0.777 (0.752)	Data 0.001 (0.002)	Loss 2.7541 (2.7353)	Prec@1 33.594 (34.606)	Prec@5 66.406 (65.087)
Epoch: [28][3310/14090]	Time 0.743 (0.752)	Data 0.001 (0.002)	Loss 2.8535 (2.7355)	Prec@1 32.812 (34.601)	Prec@5 62.500 (65.083)
Epoch: [28][3320/14090]	Time 0.757 (0.752)	Data 0.002 (0.002)	Loss 2.4636 (2.7351)	Prec@1 38.281 (34.612)	Prec@5 67.188 (65.093)
Epoch: [28][3330/14090]	Time 0.749 (0.752)	Data 0.001 (0.002)	Loss 2.6026 (2.7353)	Prec@1 35.156 (34.609)	Prec@5 65.625 (65.086)
Epoch: [28][3340/14090]	Time 0.729 (0.752)	Data 0.001 (0.002)	Loss 2.7228 (2.7354)	Prec@1 36.719 (34.610)	Prec@5 64.844 (65.085)
Epoch: [28][3350/14090]	Time 0.780 (0.752)	Data 0.001 (0.002)	Loss 2.6938 (2.7355)	Prec@1 36.719 (34.607)	Prec@5 64.844 (65.083)
Epoch: [28][3360/14090]	Time 0.732 (0.752)	Data 0.001 (0.002)	Loss 2.7739 (2.7355)	Prec@1 33.594 (34.607)	Prec@5 66.406 (65.084)
Epoch: [28][3370/14090]	Time 0.741 (0.752)	Data 0.001 (0.002)	Loss 2.8195 (2.7356)	Prec@1 32.812 (34.604)	Prec@5 62.500 (65.086)
Epoch: [28][3380/14090]	Time 0.760 (0.752)	Data 0.001 (0.002)	Loss 2.9316 (2.7359)	Prec@1 32.812 (34.599)	Prec@5 62.500 (65.081)
Epoch: [28][3390/14090]	Time 0.736 (0.752)	Data 0.002 (0.002)	Loss 2.8564 (2.7359)	Prec@1 28.906 (34.595)	Prec@5 65.625 (65.083)
Epoch: [28][3400/14090]	Time 0.759 (0.752)	Data 0.001 (0.002)	Loss 2.7259 (2.7358)	Prec@1 32.031 (34.595)	Prec@5 73.438 (65.090)
Epoch: [28][3410/14090]	Time 0.738 (0.752)	Data 0.001 (0.002)	Loss 3.0263 (2.7360)	Prec@1 29.688 (34.590)	Prec@5 54.688 (65.084)
Epoch: [28][3420/14090]	Time 0.745 (0.752)	Data 0.001 (0.002)	Loss 2.7426 (2.7360)	Prec@1 32.031 (34.587)	Prec@5 67.188 (65.084)
Epoch: [28][3430/14090]	Time 0.735 (0.752)	Data 0.001 (0.002)	Loss 2.8701 (2.7361)	Prec@1 31.250 (34.580)	Prec@5 62.500 (65.079)
Epoch: [28][3440/14090]	Time 0.751 (0.752)	Data 0.001 (0.002)	Loss 2.8366 (2.7358)	Prec@1 37.500 (34.588)	Prec@5 60.156 (65.081)
Epoch: [28][3450/14090]	Time 0.774 (0.752)	Data 0.001 (0.002)	Loss 2.7267 (2.7356)	Prec@1 34.375 (34.588)	Prec@5 58.594 (65.082)
Epoch: [28][3460/14090]	Time 0.731 (0.752)	Data 0.002 (0.002)	Loss 2.6961 (2.7358)	Prec@1 30.469 (34.582)	Prec@5 64.844 (65.077)
Epoch: [28][3470/14090]	Time 0.772 (0.752)	Data 0.001 (0.002)	Loss 2.6544 (2.7358)	Prec@1 37.500 (34.589)	Prec@5 69.531 (65.079)
Epoch: [28][3480/14090]	Time 0.774 (0.752)	Data 0.001 (0.002)	Loss 2.4022 (2.7357)	Prec@1 44.531 (34.594)	Prec@5 70.312 (65.081)
Epoch: [28][3490/14090]	Time 0.738 (0.752)	Data 0.001 (0.002)	Loss 2.5340 (2.7355)	Prec@1 32.812 (34.598)	Prec@5 71.875 (65.089)
Epoch: [28][3500/14090]	Time 0.730 (0.752)	Data 0.001 (0.002)	Loss 2.6327 (2.7356)	Prec@1 38.281 (34.593)	Prec@5 69.531 (65.088)
Epoch: [28][3510/14090]	Time 0.769 (0.752)	Data 0.001 (0.002)	Loss 2.4593 (2.7356)	Prec@1 36.719 (34.590)	Prec@5 70.312 (65.093)
Epoch: [28][3520/14090]	Time 0.748 (0.752)	Data 0.001 (0.002)	Loss 2.6011 (2.7354)	Prec@1 40.625 (34.598)	Prec@5 67.969 (65.095)
Epoch: [28][3530/14090]	Time 0.755 (0.752)	Data 0.002 (0.002)	Loss 2.6628 (2.7353)	Prec@1 33.594 (34.596)	Prec@5 67.188 (65.100)
Epoch: [28][3540/14090]	Time 0.784 (0.752)	Data 0.001 (0.002)	Loss 2.8054 (2.7353)	Prec@1 31.250 (34.593)	Prec@5 63.281 (65.096)
Epoch: [28][3550/14090]	Time 0.738 (0.752)	Data 0.001 (0.002)	Loss 2.8306 (2.7353)	Prec@1 35.156 (34.591)	Prec@5 63.281 (65.094)
Epoch: [28][3560/14090]	Time 0.753 (0.752)	Data 0.001 (0.002)	Loss 2.9544 (2.7354)	Prec@1 27.344 (34.588)	Prec@5 59.375 (65.091)
Epoch: [28][3570/14090]	Time 0.781 (0.752)	Data 0.001 (0.002)	Loss 2.4862 (2.7354)	Prec@1 37.500 (34.588)	Prec@5 71.094 (65.085)
Epoch: [28][3580/14090]	Time 0.738 (0.752)	Data 0.001 (0.002)	Loss 2.7114 (2.7353)	Prec@1 35.938 (34.587)	Prec@5 65.625 (65.085)
Epoch: [28][3590/14090]	Time 0.761 (0.752)	Data 0.001 (0.002)	Loss 2.3885 (2.7350)	Prec@1 47.656 (34.595)	Prec@5 74.219 (65.093)
Epoch: [28][3600/14090]	Time 0.740 (0.752)	Data 0.002 (0.002)	Loss 2.6667 (2.7355)	Prec@1 38.281 (34.585)	Prec@5 64.062 (65.083)
Epoch: [28][3610/14090]	Time 0.775 (0.752)	Data 0.001 (0.002)	Loss 2.6255 (2.7355)	Prec@1 32.812 (34.579)	Prec@5 67.188 (65.083)
Epoch: [28][3620/14090]	Time 0.724 (0.752)	Data 0.001 (0.002)	Loss 2.6829 (2.7354)	Prec@1 33.594 (34.577)	Prec@5 66.406 (65.084)
Epoch: [28][3630/14090]	Time 0.753 (0.752)	Data 0.001 (0.002)	Loss 2.4836 (2.7352)	Prec@1 37.500 (34.586)	Prec@5 64.844 (65.087)
Epoch: [28][3640/14090]	Time 0.750 (0.752)	Data 0.001 (0.002)	Loss 3.1727 (2.7354)	Prec@1 32.031 (34.587)	Prec@5 57.812 (65.086)
Epoch: [28][3650/14090]	Time 0.738 (0.752)	Data 0.001 (0.002)	Loss 2.6846 (2.7353)	Prec@1 37.500 (34.591)	Prec@5 64.062 (65.089)
Epoch: [28][3660/14090]	Time 0.730 (0.752)	Data 0.001 (0.002)	Loss 2.7887 (2.7353)	Prec@1 32.031 (34.595)	Prec@5 64.062 (65.092)
Epoch: [28][3670/14090]	Time 0.742 (0.752)	Data 0.002 (0.002)	Loss 2.7414 (2.7352)	Prec@1 37.500 (34.595)	Prec@5 63.281 (65.090)
Epoch: [28][3680/14090]	Time 0.733 (0.752)	Data 0.001 (0.002)	Loss 2.8571 (2.7352)	Prec@1 31.250 (34.593)	Prec@5 64.062 (65.087)
Epoch: [28][3690/14090]	Time 0.778 (0.752)	Data 0.001 (0.002)	Loss 2.4221 (2.7351)	Prec@1 41.406 (34.591)	Prec@5 73.438 (65.088)
Epoch: [28][3700/14090]	Time 0.735 (0.752)	Data 0.001 (0.002)	Loss 2.6774 (2.7353)	Prec@1 36.719 (34.589)	Prec@5 67.188 (65.085)
Epoch: [28][3710/14090]	Time 0.765 (0.752)	Data 0.001 (0.002)	Loss 2.6582 (2.7351)	Prec@1 38.281 (34.595)	Prec@5 67.969 (65.093)
Epoch: [28][3720/14090]	Time 0.764 (0.752)	Data 0.001 (0.002)	Loss 2.8643 (2.7353)	Prec@1 35.938 (34.591)	Prec@5 61.719 (65.087)
Epoch: [28][3730/14090]	Time 0.741 (0.752)	Data 0.001 (0.002)	Loss 2.6980 (2.7352)	Prec@1 35.156 (34.595)	Prec@5 64.062 (65.090)
Epoch: [28][3740/14090]	Time 0.780 (0.752)	Data 0.001 (0.002)	Loss 2.7312 (2.7353)	Prec@1 34.375 (34.592)	Prec@5 64.062 (65.087)
Epoch: [28][3750/14090]	Time 0.724 (0.752)	Data 0.001 (0.002)	Loss 2.9373 (2.7355)	Prec@1 26.562 (34.589)	Prec@5 57.812 (65.081)
Epoch: [28][3760/14090]	Time 0.777 (0.752)	Data 0.001 (0.002)	Loss 2.6159 (2.7354)	Prec@1 38.281 (34.591)	Prec@5 66.406 (65.080)
Epoch: [28][3770/14090]	Time 0.723 (0.752)	Data 0.001 (0.002)	Loss 2.7890 (2.7355)	Prec@1 32.031 (34.591)	Prec@5 64.062 (65.078)
Epoch: [28][3780/14090]	Time 0.728 (0.752)	Data 0.001 (0.002)	Loss 2.8688 (2.7356)	Prec@1 36.719 (34.591)	Prec@5 58.594 (65.073)
Epoch: [28][3790/14090]	Time 0.777 (0.752)	Data 0.001 (0.002)	Loss 3.0393 (2.7360)	Prec@1 34.375 (34.588)	Prec@5 58.594 (65.063)
Epoch: [28][3800/14090]	Time 0.749 (0.752)	Data 0.001 (0.002)	Loss 2.5031 (2.7360)	Prec@1 38.281 (34.590)	Prec@5 71.875 (65.064)
Epoch: [28][3810/14090]	Time 0.743 (0.752)	Data 0.002 (0.002)	Loss 2.9798 (2.7360)	Prec@1 32.031 (34.594)	Prec@5 57.812 (65.065)
Epoch: [28][3820/14090]	Time 0.756 (0.752)	Data 0.001 (0.002)	Loss 2.5119 (2.7360)	Prec@1 41.406 (34.596)	Prec@5 67.969 (65.065)
Epoch: [28][3830/14090]	Time 0.760 (0.752)	Data 0.001 (0.002)	Loss 2.4987 (2.7358)	Prec@1 45.312 (34.596)	Prec@5 68.750 (65.070)
Epoch: [28][3840/14090]	Time 0.725 (0.752)	Data 0.001 (0.002)	Loss 2.8837 (2.7361)	Prec@1 24.219 (34.589)	Prec@5 64.062 (65.068)
Epoch: [28][3850/14090]	Time 0.730 (0.752)	Data 0.001 (0.002)	Loss 2.5141 (2.7359)	Prec@1 36.719 (34.596)	Prec@5 71.094 (65.070)
Epoch: [28][3860/14090]	Time 0.771 (0.752)	Data 0.001 (0.002)	Loss 2.8395 (2.7360)	Prec@1 35.156 (34.589)	Prec@5 64.062 (65.068)
Epoch: [28][3870/14090]	Time 0.727 (0.752)	Data 0.001 (0.002)	Loss 2.7511 (2.7358)	Prec@1 32.031 (34.590)	Prec@5 67.969 (65.072)
Epoch: [28][3880/14090]	Time 0.776 (0.752)	Data 0.002 (0.002)	Loss 2.6428 (2.7357)	Prec@1 33.594 (34.594)	Prec@5 63.281 (65.071)
Epoch: [28][3890/14090]	Time 0.763 (0.752)	Data 0.001 (0.002)	Loss 2.5857 (2.7356)	Prec@1 35.156 (34.596)	Prec@5 64.844 (65.072)
Epoch: [28][3900/14090]	Time 0.735 (0.752)	Data 0.001 (0.002)	Loss 2.6311 (2.7356)	Prec@1 33.594 (34.597)	Prec@5 67.969 (65.069)
Epoch: [28][3910/14090]	Time 0.763 (0.752)	Data 0.001 (0.002)	Loss 2.9078 (2.7357)	Prec@1 36.719 (34.598)	Prec@5 60.156 (65.067)
Epoch: [28][3920/14090]	Time 0.758 (0.752)	Data 0.001 (0.002)	Loss 2.6994 (2.7358)	Prec@1 36.719 (34.599)	Prec@5 59.375 (65.066)
Epoch: [28][3930/14090]	Time 0.758 (0.752)	Data 0.001 (0.002)	Loss 2.6737 (2.7357)	Prec@1 35.156 (34.598)	Prec@5 65.625 (65.066)
Epoch: [28][3940/14090]	Time 0.748 (0.752)	Data 0.001 (0.002)	Loss 2.5021 (2.7358)	Prec@1 38.281 (34.598)	Prec@5 67.188 (65.063)
Epoch: [28][3950/14090]	Time 0.781 (0.752)	Data 0.002 (0.002)	Loss 3.0088 (2.7360)	Prec@1 28.906 (34.591)	Prec@5 62.500 (65.060)
Epoch: [28][3960/14090]	Time 0.735 (0.752)	Data 0.001 (0.002)	Loss 2.6957 (2.7361)	Prec@1 36.719 (34.591)	Prec@5 63.281 (65.057)
Epoch: [28][3970/14090]	Time 0.737 (0.752)	Data 0.001 (0.002)	Loss 2.8335 (2.7361)	Prec@1 34.375 (34.594)	Prec@5 64.062 (65.057)
Epoch: [28][3980/14090]	Time 0.741 (0.752)	Data 0.001 (0.002)	Loss 2.8259 (2.7361)	Prec@1 30.469 (34.594)	Prec@5 65.625 (65.060)
Epoch: [28][3990/14090]	Time 0.741 (0.752)	Data 0.001 (0.002)	Loss 3.0044 (2.7362)	Prec@1 28.125 (34.592)	Prec@5 56.250 (65.059)
Epoch: [28][4000/14090]	Time 0.754 (0.752)	Data 0.001 (0.002)	Loss 2.9240 (2.7363)	Prec@1 32.031 (34.593)	Prec@5 60.938 (65.059)
Epoch: [28][4010/14090]	Time 0.759 (0.752)	Data 0.001 (0.002)	Loss 2.8909 (2.7364)	Prec@1 31.250 (34.590)	Prec@5 63.281 (65.056)
Epoch: [28][4020/14090]	Time 0.751 (0.752)	Data 0.003 (0.002)	Loss 2.9511 (2.7363)	Prec@1 35.156 (34.592)	Prec@5 57.031 (65.058)
Epoch: [28][4030/14090]	Time 0.727 (0.752)	Data 0.001 (0.002)	Loss 3.0108 (2.7364)	Prec@1 28.906 (34.591)	Prec@5 62.500 (65.061)
Epoch: [28][4040/14090]	Time 0.731 (0.752)	Data 0.001 (0.002)	Loss 2.8310 (2.7362)	Prec@1 31.250 (34.595)	Prec@5 60.938 (65.066)
Epoch: [28][4050/14090]	Time 0.756 (0.752)	Data 0.001 (0.002)	Loss 3.0993 (2.7363)	Prec@1 30.469 (34.591)	Prec@5 58.594 (65.065)
Epoch: [28][4060/14090]	Time 0.744 (0.752)	Data 0.001 (0.002)	Loss 2.7285 (2.7364)	Prec@1 33.594 (34.590)	Prec@5 64.844 (65.064)
Epoch: [28][4070/14090]	Time 0.750 (0.752)	Data 0.001 (0.002)	Loss 2.9465 (2.7366)	Prec@1 28.906 (34.585)	Prec@5 54.688 (65.058)
Epoch: [28][4080/14090]	Time 0.761 (0.752)	Data 0.002 (0.002)	Loss 2.8915 (2.7367)	Prec@1 28.125 (34.579)	Prec@5 60.938 (65.059)
Epoch: [28][4090/14090]	Time 0.750 (0.752)	Data 0.002 (0.002)	Loss 2.7314 (2.7366)	Prec@1 32.031 (34.579)	Prec@5 64.844 (65.059)
Epoch: [28][4100/14090]	Time 0.776 (0.752)	Data 0.001 (0.002)	Loss 2.8870 (2.7368)	Prec@1 26.562 (34.573)	Prec@5 55.469 (65.056)
Epoch: [28][4110/14090]	Time 0.743 (0.752)	Data 0.001 (0.002)	Loss 2.7866 (2.7369)	Prec@1 33.594 (34.573)	Prec@5 64.844 (65.051)
Epoch: [28][4120/14090]	Time 0.748 (0.752)	Data 0.001 (0.002)	Loss 2.7229 (2.7370)	Prec@1 36.719 (34.574)	Prec@5 67.969 (65.049)
Epoch: [28][4130/14090]	Time 0.759 (0.752)	Data 0.001 (0.002)	Loss 3.0989 (2.7370)	Prec@1 28.906 (34.580)	Prec@5 57.812 (65.048)
Epoch: [28][4140/14090]	Time 0.730 (0.752)	Data 0.001 (0.002)	Loss 2.5887 (2.7372)	Prec@1 39.062 (34.580)	Prec@5 71.094 (65.047)
Epoch: [28][4150/14090]	Time 0.752 (0.752)	Data 0.001 (0.002)	Loss 2.8591 (2.7372)	Prec@1 35.156 (34.580)	Prec@5 65.625 (65.043)
Epoch: [28][4160/14090]	Time 0.756 (0.752)	Data 0.003 (0.002)	Loss 2.9919 (2.7372)	Prec@1 27.344 (34.577)	Prec@5 59.375 (65.044)
Epoch: [28][4170/14090]	Time 0.779 (0.752)	Data 0.001 (0.002)	Loss 2.6895 (2.7372)	Prec@1 34.375 (34.575)	Prec@5 64.062 (65.042)
Epoch: [28][4180/14090]	Time 0.749 (0.752)	Data 0.001 (0.002)	Loss 2.9813 (2.7371)	Prec@1 26.562 (34.576)	Prec@5 58.594 (65.045)
Epoch: [28][4190/14090]	Time 0.732 (0.752)	Data 0.001 (0.002)	Loss 2.6662 (2.7371)	Prec@1 35.156 (34.578)	Prec@5 64.062 (65.045)
Epoch: [28][4200/14090]	Time 0.752 (0.752)	Data 0.001 (0.002)	Loss 2.5692 (2.7371)	Prec@1 37.500 (34.574)	Prec@5 71.094 (65.048)
Epoch: [28][4210/14090]	Time 0.750 (0.752)	Data 0.001 (0.002)	Loss 2.6538 (2.7369)	Prec@1 35.156 (34.572)	Prec@5 64.844 (65.053)
Epoch: [28][4220/14090]	Time 0.738 (0.752)	Data 0.001 (0.002)	Loss 2.4525 (2.7370)	Prec@1 39.062 (34.570)	Prec@5 74.219 (65.050)
Epoch: [28][4230/14090]	Time 0.744 (0.752)	Data 0.002 (0.002)	Loss 2.6329 (2.7372)	Prec@1 39.844 (34.571)	Prec@5 68.750 (65.046)
Epoch: [28][4240/14090]	Time 0.751 (0.752)	Data 0.001 (0.002)	Loss 2.9658 (2.7373)	Prec@1 29.688 (34.569)	Prec@5 66.406 (65.049)
Epoch: [28][4250/14090]	Time 0.760 (0.752)	Data 0.001 (0.002)	Loss 2.6738 (2.7375)	Prec@1 36.719 (34.563)	Prec@5 64.844 (65.043)
Epoch: [28][4260/14090]	Time 0.738 (0.752)	Data 0.001 (0.002)	Loss 2.6086 (2.7375)	Prec@1 33.594 (34.561)	Prec@5 72.656 (65.042)
Epoch: [28][4270/14090]	Time 0.741 (0.752)	Data 0.001 (0.002)	Loss 2.9014 (2.7376)	Prec@1 31.250 (34.557)	Prec@5 60.156 (65.038)
Epoch: [28][4280/14090]	Time 0.759 (0.752)	Data 0.001 (0.002)	Loss 2.6076 (2.7376)	Prec@1 33.594 (34.559)	Prec@5 68.750 (65.040)
Epoch: [28][4290/14090]	Time 0.729 (0.752)	Data 0.001 (0.002)	Loss 2.7338 (2.7376)	Prec@1 30.469 (34.560)	Prec@5 65.625 (65.041)
Epoch: [28][4300/14090]	Time 0.778 (0.752)	Data 0.002 (0.002)	Loss 2.5443 (2.7378)	Prec@1 39.062 (34.558)	Prec@5 70.312 (65.040)
Epoch: [28][4310/14090]	Time 0.744 (0.752)	Data 0.001 (0.002)	Loss 2.8931 (2.7378)	Prec@1 34.375 (34.556)	Prec@5 64.062 (65.040)
Epoch: [28][4320/14090]	Time 0.743 (0.752)	Data 0.001 (0.002)	Loss 2.6380 (2.7378)	Prec@1 35.938 (34.556)	Prec@5 68.750 (65.040)
Epoch: [28][4330/14090]	Time 0.768 (0.752)	Data 0.001 (0.002)	Loss 2.4595 (2.7378)	Prec@1 42.188 (34.558)	Prec@5 70.312 (65.040)
Epoch: [28][4340/14090]	Time 0.729 (0.752)	Data 0.001 (0.002)	Loss 2.4725 (2.7377)	Prec@1 38.281 (34.563)	Prec@5 71.094 (65.042)
Epoch: [28][4350/14090]	Time 0.769 (0.752)	Data 0.001 (0.002)	Loss 2.9185 (2.7378)	Prec@1 32.031 (34.561)	Prec@5 65.625 (65.041)
Epoch: [28][4360/14090]	Time 0.728 (0.752)	Data 0.001 (0.002)	Loss 2.6931 (2.7377)	Prec@1 35.938 (34.566)	Prec@5 63.281 (65.044)
Epoch: [28][4370/14090]	Time 0.757 (0.752)	Data 0.003 (0.002)	Loss 2.7233 (2.7377)	Prec@1 37.500 (34.568)	Prec@5 67.188 (65.044)
Epoch: [28][4380/14090]	Time 0.738 (0.752)	Data 0.001 (0.002)	Loss 2.4260 (2.7373)	Prec@1 41.406 (34.578)	Prec@5 70.312 (65.055)
Epoch: [28][4390/14090]	Time 0.747 (0.752)	Data 0.001 (0.002)	Loss 2.8214 (2.7373)	Prec@1 30.469 (34.576)	Prec@5 64.062 (65.050)
Epoch: [28][4400/14090]	Time 0.769 (0.752)	Data 0.001 (0.002)	Loss 2.9311 (2.7377)	Prec@1 32.812 (34.569)	Prec@5 58.594 (65.042)
Epoch: [28][4410/14090]	Time 0.749 (0.752)	Data 0.001 (0.002)	Loss 2.7666 (2.7377)	Prec@1 33.594 (34.567)	Prec@5 66.406 (65.041)
Epoch: [28][4420/14090]	Time 0.742 (0.752)	Data 0.001 (0.002)	Loss 2.6820 (2.7376)	Prec@1 32.812 (34.564)	Prec@5 64.062 (65.045)
Epoch: [28][4430/14090]	Time 0.740 (0.752)	Data 0.001 (0.002)	Loss 2.7110 (2.7375)	Prec@1 42.188 (34.571)	Prec@5 66.406 (65.047)
Epoch: [28][4440/14090]	Time 0.762 (0.752)	Data 0.002 (0.002)	Loss 2.8433 (2.7376)	Prec@1 28.906 (34.567)	Prec@5 64.844 (65.047)
Epoch: [28][4450/14090]	Time 0.734 (0.752)	Data 0.001 (0.002)	Loss 2.4503 (2.7374)	Prec@1 39.844 (34.568)	Prec@5 68.750 (65.051)
Epoch: [28][4460/14090]	Time 0.772 (0.752)	Data 0.001 (0.002)	Loss 2.8197 (2.7376)	Prec@1 38.281 (34.567)	Prec@5 59.375 (65.045)
Epoch: [28][4470/14090]	Time 0.768 (0.752)	Data 0.001 (0.002)	Loss 2.5625 (2.7376)	Prec@1 35.938 (34.565)	Prec@5 67.969 (65.045)
Epoch: [28][4480/14090]	Time 0.741 (0.752)	Data 0.001 (0.002)	Loss 2.7383 (2.7375)	Prec@1 33.594 (34.566)	Prec@5 64.062 (65.046)
Epoch: [28][4490/14090]	Time 0.730 (0.752)	Data 0.001 (0.002)	Loss 2.6151 (2.7375)	Prec@1 37.500 (34.567)	Prec@5 60.938 (65.044)
Epoch: [28][4500/14090]	Time 0.726 (0.752)	Data 0.001 (0.002)	Loss 2.7034 (2.7373)	Prec@1 37.500 (34.569)	Prec@5 65.625 (65.048)
Epoch: [28][4510/14090]	Time 0.720 (0.752)	Data 0.002 (0.002)	Loss 2.9899 (2.7375)	Prec@1 32.031 (34.566)	Prec@5 55.469 (65.043)
Epoch: [28][4520/14090]	Time 0.775 (0.752)	Data 0.001 (0.002)	Loss 3.0714 (2.7375)	Prec@1 28.906 (34.567)	Prec@5 57.812 (65.043)
Epoch: [28][4530/14090]	Time 0.744 (0.752)	Data 0.001 (0.002)	Loss 2.7446 (2.7376)	Prec@1 37.500 (34.566)	Prec@5 63.281 (65.040)
Epoch: [28][4540/14090]	Time 0.722 (0.752)	Data 0.001 (0.002)	Loss 2.7896 (2.7375)	Prec@1 40.625 (34.569)	Prec@5 67.188 (65.046)
Epoch: [28][4550/14090]	Time 0.757 (0.752)	Data 0.001 (0.002)	Loss 2.5541 (2.7371)	Prec@1 37.500 (34.576)	Prec@5 67.969 (65.053)
Epoch: [28][4560/14090]	Time 0.736 (0.752)	Data 0.001 (0.002)	Loss 2.8404 (2.7373)	Prec@1 33.594 (34.571)	Prec@5 63.281 (65.049)
Epoch: [28][4570/14090]	Time 0.739 (0.752)	Data 0.001 (0.002)	Loss 2.8259 (2.7372)	Prec@1 35.156 (34.570)	Prec@5 63.281 (65.052)
Epoch: [28][4580/14090]	Time 0.754 (0.752)	Data 0.002 (0.002)	Loss 2.7978 (2.7371)	Prec@1 30.469 (34.571)	Prec@5 67.188 (65.054)
Epoch: [28][4590/14090]	Time 0.731 (0.752)	Data 0.001 (0.002)	Loss 2.2606 (2.7369)	Prec@1 51.562 (34.573)	Prec@5 75.781 (65.055)
Epoch: [28][4600/14090]	Time 0.740 (0.752)	Data 0.001 (0.002)	Loss 2.8312 (2.7370)	Prec@1 29.688 (34.572)	Prec@5 66.406 (65.053)
Epoch: [28][4610/14090]	Time 0.732 (0.752)	Data 0.001 (0.002)	Loss 2.6855 (2.7369)	Prec@1 31.250 (34.571)	Prec@5 67.188 (65.055)
Epoch: [28][4620/14090]	Time 0.742 (0.752)	Data 0.001 (0.002)	Loss 2.9630 (2.7370)	Prec@1 26.562 (34.570)	Prec@5 63.281 (65.051)
Epoch: [28][4630/14090]	Time 0.747 (0.752)	Data 0.001 (0.002)	Loss 2.7772 (2.7371)	Prec@1 29.688 (34.568)	Prec@5 70.312 (65.052)
Epoch: [28][4640/14090]	Time 0.734 (0.752)	Data 0.001 (0.002)	Loss 2.9118 (2.7372)	Prec@1 34.375 (34.564)	Prec@5 59.375 (65.049)
Epoch: [28][4650/14090]	Time 0.759 (0.752)	Data 0.002 (0.002)	Loss 3.1969 (2.7373)	Prec@1 29.688 (34.568)	Prec@5 58.594 (65.048)
Epoch: [28][4660/14090]	Time 0.744 (0.752)	Data 0.001 (0.002)	Loss 2.7170 (2.7373)	Prec@1 38.281 (34.570)	Prec@5 62.500 (65.048)
Epoch: [28][4670/14090]	Time 0.752 (0.752)	Data 0.001 (0.002)	Loss 2.5214 (2.7373)	Prec@1 37.500 (34.573)	Prec@5 64.062 (65.045)
Epoch: [28][4680/14090]	Time 0.782 (0.752)	Data 0.001 (0.002)	Loss 3.1013 (2.7375)	Prec@1 32.031 (34.571)	Prec@5 59.375 (65.044)
Epoch: [28][4690/14090]	Time 0.750 (0.752)	Data 0.001 (0.002)	Loss 3.0590 (2.7375)	Prec@1 33.594 (34.570)	Prec@5 58.594 (65.044)
Epoch: [28][4700/14090]	Time 0.758 (0.752)	Data 0.001 (0.002)	Loss 2.8708 (2.7375)	Prec@1 30.469 (34.568)	Prec@5 62.500 (65.044)
Epoch: [28][4710/14090]	Time 0.734 (0.752)	Data 0.001 (0.002)	Loss 3.0208 (2.7375)	Prec@1 26.562 (34.569)	Prec@5 64.844 (65.051)
Epoch: [28][4720/14090]	Time 0.729 (0.752)	Data 0.002 (0.002)	Loss 2.8428 (2.7377)	Prec@1 31.250 (34.567)	Prec@5 64.062 (65.048)
Epoch: [28][4730/14090]	Time 0.767 (0.752)	Data 0.001 (0.002)	Loss 2.6618 (2.7378)	Prec@1 36.719 (34.566)	Prec@5 63.281 (65.045)
Epoch: [28][4740/14090]	Time 0.736 (0.752)	Data 0.001 (0.002)	Loss 2.4833 (2.7380)	Prec@1 35.156 (34.563)	Prec@5 76.562 (65.043)
Epoch: [28][4750/14090]	Time 0.761 (0.752)	Data 0.001 (0.002)	Loss 2.6972 (2.7380)	Prec@1 31.250 (34.561)	Prec@5 67.188 (65.042)
Epoch: [28][4760/14090]	Time 0.773 (0.752)	Data 0.001 (0.002)	Loss 2.5458 (2.7379)	Prec@1 40.625 (34.562)	Prec@5 71.094 (65.044)
Epoch: [28][4770/14090]	Time 0.733 (0.752)	Data 0.001 (0.002)	Loss 3.1157 (2.7379)	Prec@1 28.906 (34.564)	Prec@5 62.500 (65.043)
Epoch: [28][4780/14090]	Time 0.761 (0.752)	Data 0.001 (0.002)	Loss 3.2119 (2.7379)	Prec@1 25.000 (34.563)	Prec@5 59.375 (65.044)
Epoch: [28][4790/14090]	Time 0.788 (0.752)	Data 0.002 (0.002)	Loss 2.9090 (2.7381)	Prec@1 32.812 (34.561)	Prec@5 59.375 (65.040)
Epoch: [28][4800/14090]	Time 0.722 (0.752)	Data 0.001 (0.002)	Loss 2.6969 (2.7380)	Prec@1 34.375 (34.563)	Prec@5 63.281 (65.040)
Epoch: [28][4810/14090]	Time 0.729 (0.752)	Data 0.001 (0.002)	Loss 2.6541 (2.7381)	Prec@1 38.281 (34.560)	Prec@5 67.969 (65.034)
Epoch: [28][4820/14090]	Time 0.726 (0.752)	Data 0.003 (0.002)	Loss 2.9486 (2.7382)	Prec@1 35.938 (34.557)	Prec@5 59.375 (65.033)
Epoch: [28][4830/14090]	Time 0.738 (0.752)	Data 0.001 (0.002)	Loss 2.5793 (2.7381)	Prec@1 34.375 (34.555)	Prec@5 67.188 (65.032)
Epoch: [28][4840/14090]	Time 0.758 (0.752)	Data 0.001 (0.002)	Loss 2.6480 (2.7384)	Prec@1 34.375 (34.548)	Prec@5 63.281 (65.027)
Epoch: [28][4850/14090]	Time 0.738 (0.752)	Data 0.001 (0.002)	Loss 2.5556 (2.7382)	Prec@1 36.719 (34.554)	Prec@5 71.094 (65.032)
Epoch: [28][4860/14090]	Time 0.731 (0.752)	Data 0.002 (0.002)	Loss 2.4875 (2.7382)	Prec@1 36.719 (34.555)	Prec@5 71.094 (65.032)
Epoch: [28][4870/14090]	Time 0.747 (0.752)	Data 0.001 (0.002)	Loss 2.6651 (2.7382)	Prec@1 30.469 (34.554)	Prec@5 65.625 (65.030)
Epoch: [28][4880/14090]	Time 0.735 (0.752)	Data 0.001 (0.002)	Loss 2.8646 (2.7384)	Prec@1 30.469 (34.551)	Prec@5 63.281 (65.027)
Epoch: [28][4890/14090]	Time 0.749 (0.752)	Data 0.001 (0.002)	Loss 3.0848 (2.7386)	Prec@1 27.344 (34.551)	Prec@5 55.469 (65.026)
Epoch: [28][4900/14090]	Time 0.744 (0.752)	Data 0.001 (0.002)	Loss 2.7498 (2.7387)	Prec@1 35.938 (34.553)	Prec@5 69.531 (65.024)
Epoch: [28][4910/14090]	Time 0.747 (0.752)	Data 0.001 (0.002)	Loss 3.0219 (2.7387)	Prec@1 26.562 (34.555)	Prec@5 60.156 (65.027)
Epoch: [28][4920/14090]	Time 0.743 (0.752)	Data 0.001 (0.002)	Loss 2.9228 (2.7386)	Prec@1 29.688 (34.554)	Prec@5 64.844 (65.027)
Epoch: [28][4930/14090]	Time 0.733 (0.752)	Data 0.002 (0.002)	Loss 2.6553 (2.7386)	Prec@1 37.500 (34.557)	Prec@5 67.188 (65.028)
Epoch: [28][4940/14090]	Time 0.749 (0.752)	Data 0.001 (0.002)	Loss 3.1045 (2.7388)	Prec@1 25.781 (34.554)	Prec@5 58.594 (65.027)
Epoch: [28][4950/14090]	Time 0.742 (0.752)	Data 0.001 (0.002)	Loss 2.6421 (2.7386)	Prec@1 35.156 (34.554)	Prec@5 65.625 (65.028)
Epoch: [28][4960/14090]	Time 0.780 (0.752)	Data 0.001 (0.002)	Loss 2.9478 (2.7387)	Prec@1 36.719 (34.558)	Prec@5 59.375 (65.026)
Epoch: [28][4970/14090]	Time 0.746 (0.752)	Data 0.001 (0.002)	Loss 2.5737 (2.7387)	Prec@1 39.844 (34.557)	Prec@5 68.750 (65.026)
Epoch: [28][4980/14090]	Time 0.740 (0.752)	Data 0.001 (0.002)	Loss 2.8756 (2.7388)	Prec@1 36.719 (34.558)	Prec@5 60.156 (65.026)
Epoch: [28][4990/14090]	Time 0.732 (0.752)	Data 0.001 (0.002)	Loss 2.6857 (2.7386)	Prec@1 29.688 (34.558)	Prec@5 66.406 (65.029)
Epoch: [28][5000/14090]	Time 0.765 (0.752)	Data 0.002 (0.002)	Loss 2.6713 (2.7386)	Prec@1 35.938 (34.560)	Prec@5 67.969 (65.033)
Epoch: [28][5010/14090]	Time 0.750 (0.752)	Data 0.001 (0.002)	Loss 2.6789 (2.7384)	Prec@1 34.375 (34.565)	Prec@5 69.531 (65.038)
Epoch: [28][5020/14090]	Time 0.751 (0.752)	Data 0.001 (0.002)	Loss 2.7422 (2.7383)	Prec@1 31.250 (34.566)	Prec@5 64.062 (65.037)
Epoch: [28][5030/14090]	Time 0.757 (0.752)	Data 0.001 (0.002)	Loss 2.6499 (2.7385)	Prec@1 29.688 (34.561)	Prec@5 67.969 (65.036)
Epoch: [28][5040/14090]	Time 0.737 (0.752)	Data 0.001 (0.002)	Loss 2.5371 (2.7384)	Prec@1 36.719 (34.561)	Prec@5 69.531 (65.036)
Epoch: [28][5050/14090]	Time 0.763 (0.752)	Data 0.001 (0.002)	Loss 3.0215 (2.7384)	Prec@1 28.906 (34.559)	Prec@5 57.812 (65.036)
Epoch: [28][5060/14090]	Time 0.742 (0.752)	Data 0.001 (0.002)	Loss 2.8022 (2.7384)	Prec@1 34.375 (34.561)	Prec@5 61.719 (65.033)
Epoch: [28][5070/14090]	Time 0.758 (0.752)	Data 0.002 (0.002)	Loss 2.4065 (2.7383)	Prec@1 40.625 (34.563)	Prec@5 74.219 (65.036)
Epoch: [28][5080/14090]	Time 0.732 (0.752)	Data 0.001 (0.002)	Loss 2.8439 (2.7382)	Prec@1 30.469 (34.563)	Prec@5 66.406 (65.037)
Epoch: [28][5090/14090]	Time 0.769 (0.752)	Data 0.001 (0.002)	Loss 2.4088 (2.7380)	Prec@1 48.438 (34.569)	Prec@5 73.438 (65.040)
Epoch: [28][5100/14090]	Time 0.723 (0.752)	Data 0.001 (0.002)	Loss 2.8782 (2.7379)	Prec@1 33.594 (34.573)	Prec@5 61.719 (65.041)
Epoch: [28][5110/14090]	Time 0.768 (0.752)	Data 0.001 (0.002)	Loss 2.7768 (2.7379)	Prec@1 35.938 (34.573)	Prec@5 60.938 (65.040)
Epoch: [28][5120/14090]	Time 0.748 (0.752)	Data 0.001 (0.002)	Loss 2.7998 (2.7378)	Prec@1 39.062 (34.576)	Prec@5 64.844 (65.040)
Epoch: [28][5130/14090]	Time 0.731 (0.752)	Data 0.001 (0.002)	Loss 2.7839 (2.7378)	Prec@1 35.938 (34.576)	Prec@5 63.281 (65.037)
Epoch: [28][5140/14090]	Time 0.748 (0.752)	Data 0.002 (0.002)	Loss 2.9915 (2.7379)	Prec@1 31.250 (34.574)	Prec@5 57.031 (65.033)
Epoch: [28][5150/14090]	Time 0.732 (0.752)	Data 0.001 (0.002)	Loss 2.8235 (2.7379)	Prec@1 33.594 (34.573)	Prec@5 57.031 (65.031)
Epoch: [28][5160/14090]	Time 0.775 (0.752)	Data 0.001 (0.002)	Loss 2.9209 (2.7380)	Prec@1 32.812 (34.570)	Prec@5 57.812 (65.025)
Epoch: [28][5170/14090]	Time 0.751 (0.752)	Data 0.001 (0.002)	Loss 2.4602 (2.7378)	Prec@1 36.719 (34.575)	Prec@5 72.656 (65.031)
Epoch: [28][5180/14090]	Time 0.724 (0.752)	Data 0.001 (0.002)	Loss 2.9670 (2.7378)	Prec@1 32.031 (34.574)	Prec@5 57.812 (65.031)
Epoch: [28][5190/14090]	Time 0.751 (0.752)	Data 0.001 (0.002)	Loss 2.3845 (2.7377)	Prec@1 36.719 (34.573)	Prec@5 75.781 (65.034)
Epoch: [28][5200/14090]	Time 0.748 (0.752)	Data 0.001 (0.002)	Loss 3.0598 (2.7378)	Prec@1 35.156 (34.574)	Prec@5 60.938 (65.033)
Epoch: [28][5210/14090]	Time 0.766 (0.752)	Data 0.002 (0.002)	Loss 2.6471 (2.7378)	Prec@1 34.375 (34.574)	Prec@5 60.156 (65.031)
Epoch: [28][5220/14090]	Time 0.725 (0.751)	Data 0.001 (0.002)	Loss 2.7111 (2.7377)	Prec@1 30.469 (34.574)	Prec@5 67.188 (65.032)
Epoch: [28][5230/14090]	Time 0.735 (0.752)	Data 0.001 (0.002)	Loss 2.6105 (2.7376)	Prec@1 35.156 (34.576)	Prec@5 67.969 (65.034)
Epoch: [28][5240/14090]	Time 0.762 (0.752)	Data 0.001 (0.002)	Loss 2.7738 (2.7374)	Prec@1 28.906 (34.578)	Prec@5 66.406 (65.037)
Epoch: [28][5250/14090]	Time 0.724 (0.751)	Data 0.001 (0.002)	Loss 2.6565 (2.7374)	Prec@1 35.938 (34.577)	Prec@5 65.625 (65.038)
Epoch: [28][5260/14090]	Time 0.740 (0.751)	Data 0.001 (0.002)	Loss 2.8403 (2.7376)	Prec@1 28.125 (34.573)	Prec@5 58.594 (65.032)
Epoch: [28][5270/14090]	Time 0.751 (0.751)	Data 0.001 (0.002)	Loss 2.7162 (2.7376)	Prec@1 33.594 (34.571)	Prec@5 66.406 (65.030)
Epoch: [28][5280/14090]	Time 0.749 (0.751)	Data 0.002 (0.002)	Loss 2.6383 (2.7374)	Prec@1 33.594 (34.574)	Prec@5 70.312 (65.034)
Epoch: [28][5290/14090]	Time 0.753 (0.751)	Data 0.001 (0.002)	Loss 3.0024 (2.7376)	Prec@1 32.812 (34.571)	Prec@5 61.719 (65.031)
Epoch: [28][5300/14090]	Time 0.737 (0.751)	Data 0.001 (0.002)	Loss 2.6361 (2.7376)	Prec@1 38.281 (34.575)	Prec@5 64.844 (65.031)
Epoch: [28][5310/14090]	Time 0.769 (0.751)	Data 0.001 (0.002)	Loss 2.5336 (2.7376)	Prec@1 38.281 (34.572)	Prec@5 71.094 (65.031)
Epoch: [28][5320/14090]	Time 0.783 (0.751)	Data 0.001 (0.002)	Loss 2.4995 (2.7376)	Prec@1 42.188 (34.577)	Prec@5 66.406 (65.033)
Epoch: [28][5330/14090]	Time 0.732 (0.751)	Data 0.002 (0.002)	Loss 2.7992 (2.7376)	Prec@1 34.375 (34.576)	Prec@5 65.625 (65.031)
Epoch: [28][5340/14090]	Time 0.780 (0.751)	Data 0.001 (0.002)	Loss 2.9234 (2.7375)	Prec@1 31.250 (34.579)	Prec@5 59.375 (65.031)
Epoch: [28][5350/14090]	Time 0.744 (0.751)	Data 0.002 (0.002)	Loss 2.5760 (2.7376)	Prec@1 39.062 (34.578)	Prec@5 70.312 (65.031)
Epoch: [28][5360/14090]	Time 0.760 (0.751)	Data 0.001 (0.002)	Loss 2.7993 (2.7376)	Prec@1 33.594 (34.579)	Prec@5 69.531 (65.035)
Epoch: [28][5370/14090]	Time 0.734 (0.751)	Data 0.001 (0.002)	Loss 2.7274 (2.7376)	Prec@1 28.906 (34.578)	Prec@5 64.844 (65.034)
Epoch: [28][5380/14090]	Time 0.759 (0.751)	Data 0.001 (0.002)	Loss 2.9617 (2.7379)	Prec@1 30.469 (34.573)	Prec@5 65.625 (65.030)
Epoch: [28][5390/14090]	Time 0.778 (0.751)	Data 0.003 (0.002)	Loss 2.6549 (2.7380)	Prec@1 34.375 (34.573)	Prec@5 64.062 (65.028)
Epoch: [28][5400/14090]	Time 0.756 (0.751)	Data 0.001 (0.002)	Loss 3.0051 (2.7381)	Prec@1 32.812 (34.572)	Prec@5 59.375 (65.025)
Epoch: [28][5410/14090]	Time 0.723 (0.751)	Data 0.001 (0.002)	Loss 2.8498 (2.7382)	Prec@1 35.938 (34.571)	Prec@5 60.938 (65.026)
Epoch: [28][5420/14090]	Time 0.729 (0.751)	Data 0.002 (0.002)	Loss 2.6365 (2.7382)	Prec@1 33.594 (34.570)	Prec@5 66.406 (65.027)
Epoch: [28][5430/14090]	Time 0.734 (0.751)	Data 0.001 (0.002)	Loss 2.5623 (2.7382)	Prec@1 39.062 (34.572)	Prec@5 68.750 (65.027)
Epoch: [28][5440/14090]	Time 0.764 (0.751)	Data 0.001 (0.002)	Loss 2.7491 (2.7381)	Prec@1 39.062 (34.571)	Prec@5 64.844 (65.029)
Epoch: [28][5450/14090]	Time 0.750 (0.751)	Data 0.001 (0.002)	Loss 3.1954 (2.7383)	Prec@1 24.219 (34.569)	Prec@5 57.812 (65.025)
Epoch: [28][5460/14090]	Time 0.748 (0.751)	Data 0.001 (0.002)	Loss 2.4217 (2.7382)	Prec@1 37.500 (34.571)	Prec@5 76.562 (65.028)
Epoch: [28][5470/14090]	Time 0.726 (0.751)	Data 0.001 (0.002)	Loss 2.6078 (2.7381)	Prec@1 39.844 (34.574)	Prec@5 71.094 (65.029)
Epoch: [28][5480/14090]	Time 0.762 (0.751)	Data 0.001 (0.002)	Loss 2.5718 (2.7382)	Prec@1 35.156 (34.574)	Prec@5 68.750 (65.028)
Epoch: [28][5490/14090]	Time 0.736 (0.751)	Data 0.002 (0.002)	Loss 2.7685 (2.7381)	Prec@1 32.812 (34.572)	Prec@5 65.625 (65.029)
Epoch: [28][5500/14090]	Time 0.731 (0.751)	Data 0.001 (0.002)	Loss 2.6355 (2.7381)	Prec@1 36.719 (34.572)	Prec@5 64.844 (65.028)
Epoch: [28][5510/14090]	Time 0.782 (0.751)	Data 0.001 (0.002)	Loss 2.6852 (2.7381)	Prec@1 39.844 (34.574)	Prec@5 67.969 (65.028)
Epoch: [28][5520/14090]	Time 0.775 (0.751)	Data 0.001 (0.002)	Loss 2.3559 (2.7380)	Prec@1 37.500 (34.574)	Prec@5 71.094 (65.027)
Epoch: [28][5530/14090]	Time 0.738 (0.751)	Data 0.001 (0.002)	Loss 2.6510 (2.7379)	Prec@1 34.375 (34.576)	Prec@5 65.625 (65.025)
Epoch: [28][5540/14090]	Time 0.781 (0.751)	Data 0.001 (0.002)	Loss 2.8672 (2.7380)	Prec@1 33.594 (34.573)	Prec@5 63.281 (65.023)
Epoch: [28][5550/14090]	Time 0.770 (0.751)	Data 0.001 (0.002)	Loss 2.5468 (2.7381)	Prec@1 38.281 (34.571)	Prec@5 66.406 (65.020)
Epoch: [28][5560/14090]	Time 0.770 (0.751)	Data 0.002 (0.002)	Loss 2.5842 (2.7382)	Prec@1 35.156 (34.571)	Prec@5 69.531 (65.022)
Epoch: [28][5570/14090]	Time 0.753 (0.751)	Data 0.001 (0.002)	Loss 2.8003 (2.7383)	Prec@1 33.594 (34.570)	Prec@5 60.156 (65.018)
Epoch: [28][5580/14090]	Time 0.731 (0.751)	Data 0.001 (0.002)	Loss 2.7843 (2.7383)	Prec@1 33.594 (34.572)	Prec@5 65.625 (65.016)
Epoch: [28][5590/14090]	Time 0.736 (0.751)	Data 0.001 (0.002)	Loss 3.0384 (2.7383)	Prec@1 26.562 (34.571)	Prec@5 63.281 (65.015)
Epoch: [28][5600/14090]	Time 0.736 (0.751)	Data 0.001 (0.002)	Loss 2.8061 (2.7383)	Prec@1 29.688 (34.574)	Prec@5 66.406 (65.020)
Epoch: [28][5610/14090]	Time 0.744 (0.751)	Data 0.001 (0.002)	Loss 2.8193 (2.7383)	Prec@1 33.594 (34.577)	Prec@5 64.062 (65.020)
Epoch: [28][5620/14090]	Time 0.774 (0.751)	Data 0.001 (0.002)	Loss 2.8859 (2.7382)	Prec@1 35.938 (34.581)	Prec@5 65.625 (65.023)
Epoch: [28][5630/14090]	Time 0.744 (0.751)	Data 0.002 (0.002)	Loss 2.3425 (2.7382)	Prec@1 39.844 (34.582)	Prec@5 71.094 (65.022)
Epoch: [28][5640/14090]	Time 0.734 (0.751)	Data 0.002 (0.002)	Loss 2.7214 (2.7383)	Prec@1 38.281 (34.583)	Prec@5 65.625 (65.019)
Epoch: [28][5650/14090]	Time 0.757 (0.751)	Data 0.001 (0.002)	Loss 2.5095 (2.7383)	Prec@1 43.750 (34.587)	Prec@5 69.531 (65.020)
Epoch: [28][5660/14090]	Time 0.760 (0.751)	Data 0.001 (0.002)	Loss 2.4596 (2.7381)	Prec@1 39.062 (34.588)	Prec@5 69.531 (65.023)
Epoch: [28][5670/14090]	Time 0.744 (0.751)	Data 0.001 (0.002)	Loss 2.5387 (2.7380)	Prec@1 41.406 (34.590)	Prec@5 67.188 (65.024)
Epoch: [28][5680/14090]	Time 0.758 (0.751)	Data 0.001 (0.002)	Loss 2.5852 (2.7380)	Prec@1 35.938 (34.592)	Prec@5 66.406 (65.028)
Epoch: [28][5690/14090]	Time 0.731 (0.751)	Data 0.001 (0.002)	Loss 2.7245 (2.7380)	Prec@1 36.719 (34.592)	Prec@5 66.406 (65.028)
Epoch: [28][5700/14090]	Time 0.734 (0.751)	Data 0.002 (0.002)	Loss 3.1158 (2.7379)	Prec@1 28.906 (34.593)	Prec@5 58.594 (65.031)
Epoch: [28][5710/14090]	Time 0.743 (0.751)	Data 0.001 (0.002)	Loss 2.7550 (2.7381)	Prec@1 33.594 (34.592)	Prec@5 66.406 (65.029)
Epoch: [28][5720/14090]	Time 0.767 (0.751)	Data 0.001 (0.002)	Loss 2.9336 (2.7380)	Prec@1 29.688 (34.594)	Prec@5 60.938 (65.032)
Epoch: [28][5730/14090]	Time 0.733 (0.751)	Data 0.001 (0.002)	Loss 2.6272 (2.7379)	Prec@1 38.281 (34.595)	Prec@5 71.875 (65.034)
Epoch: [28][5740/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 2.6996 (2.7379)	Prec@1 31.250 (34.593)	Prec@5 67.188 (65.035)
Epoch: [28][5750/14090]	Time 0.781 (0.751)	Data 0.001 (0.002)	Loss 2.7478 (2.7379)	Prec@1 37.500 (34.592)	Prec@5 65.625 (65.035)
Epoch: [28][5760/14090]	Time 0.772 (0.751)	Data 0.001 (0.002)	Loss 2.5952 (2.7379)	Prec@1 28.906 (34.591)	Prec@5 73.438 (65.036)
Epoch: [28][5770/14090]	Time 0.748 (0.751)	Data 0.002 (0.002)	Loss 2.5128 (2.7379)	Prec@1 35.156 (34.586)	Prec@5 68.750 (65.035)
Epoch: [28][5780/14090]	Time 0.763 (0.751)	Data 0.001 (0.002)	Loss 2.6945 (2.7381)	Prec@1 35.938 (34.584)	Prec@5 64.062 (65.028)
Epoch: [28][5790/14090]	Time 0.736 (0.751)	Data 0.001 (0.002)	Loss 2.6375 (2.7380)	Prec@1 35.938 (34.585)	Prec@5 60.938 (65.032)
Epoch: [28][5800/14090]	Time 0.732 (0.751)	Data 0.001 (0.002)	Loss 2.7089 (2.7380)	Prec@1 36.719 (34.586)	Prec@5 64.062 (65.031)
Epoch: [28][5810/14090]	Time 0.746 (0.751)	Data 0.001 (0.002)	Loss 2.5578 (2.7380)	Prec@1 42.188 (34.587)	Prec@5 71.094 (65.031)
Epoch: [28][5820/14090]	Time 0.771 (0.751)	Data 0.001 (0.002)	Loss 2.9555 (2.7383)	Prec@1 28.906 (34.585)	Prec@5 57.812 (65.024)
Epoch: [28][5830/14090]	Time 0.727 (0.751)	Data 0.001 (0.002)	Loss 2.6862 (2.7382)	Prec@1 37.500 (34.589)	Prec@5 66.406 (65.024)
Epoch: [28][5840/14090]	Time 0.785 (0.751)	Data 0.002 (0.002)	Loss 2.8258 (2.7382)	Prec@1 36.719 (34.587)	Prec@5 63.281 (65.023)
Epoch: [28][5850/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 2.6710 (2.7382)	Prec@1 37.500 (34.589)	Prec@5 65.625 (65.023)
Epoch: [28][5860/14090]	Time 0.769 (0.751)	Data 0.001 (0.002)	Loss 2.7696 (2.7381)	Prec@1 37.500 (34.587)	Prec@5 62.500 (65.025)
Epoch: [28][5870/14090]	Time 0.744 (0.751)	Data 0.001 (0.002)	Loss 2.5976 (2.7382)	Prec@1 45.312 (34.588)	Prec@5 72.656 (65.022)
Epoch: [28][5880/14090]	Time 0.767 (0.751)	Data 0.001 (0.002)	Loss 2.8818 (2.7382)	Prec@1 31.250 (34.586)	Prec@5 60.156 (65.021)
Epoch: [28][5890/14090]	Time 0.738 (0.751)	Data 0.001 (0.002)	Loss 2.4901 (2.7382)	Prec@1 37.500 (34.585)	Prec@5 67.969 (65.022)
Epoch: [28][5900/14090]	Time 0.733 (0.751)	Data 0.001 (0.002)	Loss 2.6322 (2.7382)	Prec@1 36.719 (34.585)	Prec@5 67.969 (65.019)
Epoch: [28][5910/14090]	Time 0.771 (0.751)	Data 0.002 (0.002)	Loss 2.9084 (2.7382)	Prec@1 31.250 (34.585)	Prec@5 63.281 (65.019)
Epoch: [28][5920/14090]	Time 0.751 (0.751)	Data 0.001 (0.002)	Loss 2.6086 (2.7382)	Prec@1 35.156 (34.584)	Prec@5 71.875 (65.017)
Epoch: [28][5930/14090]	Time 0.732 (0.751)	Data 0.001 (0.002)	Loss 2.8668 (2.7381)	Prec@1 35.938 (34.586)	Prec@5 63.281 (65.019)
Epoch: [28][5940/14090]	Time 0.734 (0.751)	Data 0.001 (0.002)	Loss 2.6125 (2.7381)	Prec@1 35.938 (34.587)	Prec@5 67.188 (65.017)
Epoch: [28][5950/14090]	Time 0.770 (0.751)	Data 0.001 (0.002)	Loss 2.7839 (2.7383)	Prec@1 31.250 (34.584)	Prec@5 64.844 (65.012)
Epoch: [28][5960/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 2.4942 (2.7383)	Prec@1 38.281 (34.584)	Prec@5 72.656 (65.012)
Epoch: [28][5970/14090]	Time 0.734 (0.751)	Data 0.001 (0.002)	Loss 2.7509 (2.7384)	Prec@1 28.906 (34.587)	Prec@5 65.625 (65.012)
Epoch: [28][5980/14090]	Time 0.732 (0.751)	Data 0.001 (0.002)	Loss 2.8219 (2.7384)	Prec@1 37.500 (34.587)	Prec@5 60.156 (65.013)
Epoch: [28][5990/14090]	Time 0.735 (0.751)	Data 0.001 (0.002)	Loss 2.4135 (2.7383)	Prec@1 38.281 (34.588)	Prec@5 70.312 (65.016)
Epoch: [28][6000/14090]	Time 0.750 (0.751)	Data 0.001 (0.002)	Loss 2.6152 (2.7383)	Prec@1 41.406 (34.587)	Prec@5 71.094 (65.017)
Epoch: [28][6010/14090]	Time 0.742 (0.751)	Data 0.001 (0.002)	Loss 2.9248 (2.7384)	Prec@1 28.125 (34.584)	Prec@5 63.281 (65.018)
Epoch: [28][6020/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 2.8219 (2.7384)	Prec@1 32.812 (34.583)	Prec@5 69.531 (65.017)
Epoch: [28][6030/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 2.5226 (2.7383)	Prec@1 39.844 (34.583)	Prec@5 67.188 (65.019)
Epoch: [28][6040/14090]	Time 0.736 (0.751)	Data 0.001 (0.002)	Loss 2.7618 (2.7382)	Prec@1 35.938 (34.588)	Prec@5 66.406 (65.023)
Epoch: [28][6050/14090]	Time 0.758 (0.751)	Data 0.002 (0.002)	Loss 3.0716 (2.7384)	Prec@1 24.219 (34.585)	Prec@5 57.031 (65.018)
Epoch: [28][6060/14090]	Time 0.750 (0.751)	Data 0.001 (0.002)	Loss 2.8456 (2.7384)	Prec@1 38.281 (34.586)	Prec@5 55.469 (65.016)
Epoch: [28][6070/14090]	Time 0.738 (0.751)	Data 0.002 (0.002)	Loss 2.6190 (2.7382)	Prec@1 39.844 (34.589)	Prec@5 68.750 (65.020)
Epoch: [28][6080/14090]	Time 0.743 (0.751)	Data 0.001 (0.002)	Loss 2.6784 (2.7383)	Prec@1 35.938 (34.588)	Prec@5 63.281 (65.019)
Epoch: [28][6090/14090]	Time 0.740 (0.751)	Data 0.001 (0.002)	Loss 2.6118 (2.7383)	Prec@1 37.500 (34.588)	Prec@5 69.531 (65.019)
Epoch: [28][6100/14090]	Time 0.727 (0.751)	Data 0.001 (0.002)	Loss 3.0326 (2.7384)	Prec@1 26.562 (34.589)	Prec@5 58.594 (65.017)
Epoch: [28][6110/14090]	Time 0.748 (0.751)	Data 0.001 (0.002)	Loss 2.9513 (2.7384)	Prec@1 32.031 (34.588)	Prec@5 61.719 (65.016)
Epoch: [28][6120/14090]	Time 0.744 (0.751)	Data 0.002 (0.002)	Loss 2.7752 (2.7384)	Prec@1 39.062 (34.587)	Prec@5 64.062 (65.016)
Epoch: [28][6130/14090]	Time 0.799 (0.751)	Data 0.003 (0.002)	Loss 2.5817 (2.7384)	Prec@1 39.062 (34.590)	Prec@5 69.531 (65.018)
Epoch: [28][6140/14090]	Time 0.733 (0.751)	Data 0.001 (0.002)	Loss 3.0703 (2.7384)	Prec@1 28.125 (34.587)	Prec@5 59.375 (65.016)
Epoch: [28][6150/14090]	Time 0.730 (0.751)	Data 0.001 (0.002)	Loss 2.8741 (2.7384)	Prec@1 30.469 (34.584)	Prec@5 61.719 (65.015)
Epoch: [28][6160/14090]	Time 0.753 (0.751)	Data 0.001 (0.002)	Loss 2.8005 (2.7385)	Prec@1 36.719 (34.584)	Prec@5 65.625 (65.016)
Epoch: [28][6170/14090]	Time 0.738 (0.751)	Data 0.001 (0.002)	Loss 2.4259 (2.7384)	Prec@1 39.844 (34.584)	Prec@5 71.875 (65.018)
Epoch: [28][6180/14090]	Time 0.766 (0.751)	Data 0.001 (0.002)	Loss 2.9216 (2.7385)	Prec@1 31.250 (34.583)	Prec@5 61.719 (65.016)
Epoch: [28][6190/14090]	Time 0.767 (0.751)	Data 0.002 (0.002)	Loss 2.5718 (2.7386)	Prec@1 36.719 (34.585)	Prec@5 61.719 (65.015)
Epoch: [28][6200/14090]	Time 0.733 (0.751)	Data 0.001 (0.002)	Loss 2.8871 (2.7386)	Prec@1 35.938 (34.584)	Prec@5 56.250 (65.013)
Epoch: [28][6210/14090]	Time 0.749 (0.751)	Data 0.001 (0.002)	Loss 2.6328 (2.7386)	Prec@1 35.938 (34.585)	Prec@5 65.625 (65.012)
Epoch: [28][6220/14090]	Time 0.745 (0.751)	Data 0.001 (0.002)	Loss 2.6532 (2.7387)	Prec@1 39.062 (34.584)	Prec@5 65.625 (65.011)
Epoch: [28][6230/14090]	Time 0.781 (0.751)	Data 0.001 (0.002)	Loss 2.9278 (2.7387)	Prec@1 33.594 (34.586)	Prec@5 60.938 (65.011)
Epoch: [28][6240/14090]	Time 0.737 (0.751)	Data 0.001 (0.002)	Loss 2.6850 (2.7387)	Prec@1 39.844 (34.586)	Prec@5 65.625 (65.011)
Epoch: [28][6250/14090]	Time 0.743 (0.751)	Data 0.001 (0.002)	Loss 2.5220 (2.7385)	Prec@1 36.719 (34.587)	Prec@5 67.188 (65.012)
Epoch: [28][6260/14090]	Time 0.728 (0.751)	Data 0.003 (0.002)	Loss 2.6005 (2.7385)	Prec@1 38.281 (34.588)	Prec@5 66.406 (65.012)
Epoch: [28][6270/14090]	Time 0.752 (0.751)	Data 0.001 (0.002)	Loss 2.7710 (2.7385)	Prec@1 35.938 (34.586)	Prec@5 67.188 (65.014)
Epoch: [28][6280/14090]	Time 0.757 (0.751)	Data 0.001 (0.002)	Loss 2.6929 (2.7384)	Prec@1 34.375 (34.589)	Prec@5 65.625 (65.014)
Epoch: [28][6290/14090]	Time 0.738 (0.751)	Data 0.001 (0.002)	Loss 2.6824 (2.7384)	Prec@1 31.250 (34.590)	Prec@5 64.844 (65.013)
Epoch: [28][6300/14090]	Time 0.732 (0.751)	Data 0.001 (0.002)	Loss 2.9205 (2.7383)	Prec@1 35.156 (34.593)	Prec@5 62.500 (65.016)
Epoch: [28][6310/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 2.9063 (2.7385)	Prec@1 35.938 (34.593)	Prec@5 57.031 (65.013)
Epoch: [28][6320/14090]	Time 0.743 (0.751)	Data 0.001 (0.002)	Loss 2.6021 (2.7385)	Prec@1 37.500 (34.590)	Prec@5 67.188 (65.012)
Epoch: [28][6330/14090]	Time 0.729 (0.751)	Data 0.002 (0.002)	Loss 2.7712 (2.7385)	Prec@1 37.500 (34.591)	Prec@5 66.406 (65.015)
Epoch: [28][6340/14090]	Time 0.780 (0.751)	Data 0.001 (0.002)	Loss 2.5655 (2.7386)	Prec@1 42.969 (34.592)	Prec@5 64.062 (65.015)
Epoch: [28][6350/14090]	Time 0.727 (0.751)	Data 0.001 (0.002)	Loss 2.6403 (2.7385)	Prec@1 35.938 (34.592)	Prec@5 65.625 (65.015)
Epoch: [28][6360/14090]	Time 0.776 (0.751)	Data 0.001 (0.002)	Loss 2.5738 (2.7384)	Prec@1 40.625 (34.593)	Prec@5 71.875 (65.018)
Epoch: [28][6370/14090]	Time 0.759 (0.751)	Data 0.001 (0.002)	Loss 2.8347 (2.7383)	Prec@1 36.719 (34.593)	Prec@5 61.719 (65.020)
Epoch: [28][6380/14090]	Time 0.727 (0.751)	Data 0.001 (0.002)	Loss 2.7022 (2.7382)	Prec@1 31.250 (34.593)	Prec@5 61.719 (65.018)
Epoch: [28][6390/14090]	Time 0.766 (0.751)	Data 0.001 (0.002)	Loss 2.5321 (2.7381)	Prec@1 37.500 (34.597)	Prec@5 64.062 (65.020)
Epoch: [28][6400/14090]	Time 0.752 (0.751)	Data 0.002 (0.002)	Loss 2.8945 (2.7381)	Prec@1 34.375 (34.599)	Prec@5 61.719 (65.017)
Epoch: [28][6410/14090]	Time 0.729 (0.751)	Data 0.001 (0.002)	Loss 2.8502 (2.7382)	Prec@1 28.906 (34.597)	Prec@5 60.156 (65.013)
Epoch: [28][6420/14090]	Time 0.776 (0.751)	Data 0.001 (0.002)	Loss 2.6892 (2.7382)	Prec@1 36.719 (34.596)	Prec@5 71.094 (65.015)
Epoch: [28][6430/14090]	Time 0.771 (0.751)	Data 0.001 (0.002)	Loss 2.6763 (2.7382)	Prec@1 32.031 (34.597)	Prec@5 66.406 (65.017)
Epoch: [28][6440/14090]	Time 0.732 (0.751)	Data 0.001 (0.002)	Loss 2.8375 (2.7382)	Prec@1 33.594 (34.596)	Prec@5 62.500 (65.018)
Epoch: [28][6450/14090]	Time 0.753 (0.751)	Data 0.001 (0.002)	Loss 3.0821 (2.7383)	Prec@1 27.344 (34.593)	Prec@5 57.031 (65.018)
Epoch: [28][6460/14090]	Time 0.760 (0.751)	Data 0.001 (0.002)	Loss 2.3829 (2.7383)	Prec@1 43.750 (34.595)	Prec@5 67.969 (65.018)
Epoch: [28][6470/14090]	Time 0.727 (0.751)	Data 0.002 (0.002)	Loss 2.7810 (2.7384)	Prec@1 34.375 (34.593)	Prec@5 67.969 (65.018)
Epoch: [28][6480/14090]	Time 0.734 (0.751)	Data 0.001 (0.002)	Loss 2.5328 (2.7385)	Prec@1 38.281 (34.589)	Prec@5 71.094 (65.018)
Epoch: [28][6490/14090]	Time 0.734 (0.751)	Data 0.001 (0.002)	Loss 2.5485 (2.7384)	Prec@1 39.062 (34.590)	Prec@5 71.875 (65.020)
Epoch: [28][6500/14090]	Time 0.753 (0.751)	Data 0.001 (0.002)	Loss 3.0794 (2.7385)	Prec@1 27.344 (34.592)	Prec@5 57.031 (65.016)
Epoch: [28][6510/14090]	Time 0.726 (0.751)	Data 0.001 (0.002)	Loss 2.7169 (2.7385)	Prec@1 37.500 (34.593)	Prec@5 64.062 (65.016)
Epoch: [28][6520/14090]	Time 0.733 (0.751)	Data 0.001 (0.002)	Loss 2.5457 (2.7386)	Prec@1 39.844 (34.591)	Prec@5 68.750 (65.013)
Epoch: [28][6530/14090]	Time 0.743 (0.751)	Data 0.001 (0.002)	Loss 2.8330 (2.7386)	Prec@1 35.156 (34.592)	Prec@5 60.156 (65.014)
Epoch: [28][6540/14090]	Time 0.732 (0.751)	Data 0.002 (0.002)	Loss 2.9401 (2.7386)	Prec@1 31.250 (34.593)	Prec@5 66.406 (65.016)
Epoch: [28][6550/14090]	Time 0.735 (0.751)	Data 0.001 (0.002)	Loss 2.7440 (2.7386)	Prec@1 32.812 (34.595)	Prec@5 63.281 (65.017)
Epoch: [28][6560/14090]	Time 0.774 (0.751)	Data 0.001 (0.002)	Loss 2.7820 (2.7387)	Prec@1 28.906 (34.592)	Prec@5 64.844 (65.018)
Epoch: [28][6570/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 2.3418 (2.7385)	Prec@1 43.750 (34.594)	Prec@5 74.219 (65.022)
Epoch: [28][6580/14090]	Time 0.781 (0.751)	Data 0.001 (0.002)	Loss 2.8841 (2.7385)	Prec@1 25.781 (34.595)	Prec@5 67.188 (65.024)
Epoch: [28][6590/14090]	Time 0.751 (0.751)	Data 0.001 (0.002)	Loss 2.8677 (2.7384)	Prec@1 32.031 (34.597)	Prec@5 61.719 (65.026)
Epoch: [28][6600/14090]	Time 0.735 (0.751)	Data 0.001 (0.002)	Loss 2.4907 (2.7383)	Prec@1 39.062 (34.600)	Prec@5 67.969 (65.028)
Epoch: [28][6610/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 2.8296 (2.7383)	Prec@1 38.281 (34.604)	Prec@5 64.844 (65.028)
Epoch: [28][6620/14090]	Time 0.737 (0.751)	Data 0.001 (0.002)	Loss 2.5812 (2.7382)	Prec@1 41.406 (34.607)	Prec@5 64.062 (65.029)
Epoch: [28][6630/14090]	Time 0.737 (0.751)	Data 0.001 (0.002)	Loss 2.4989 (2.7382)	Prec@1 36.719 (34.607)	Prec@5 67.969 (65.031)
Epoch: [28][6640/14090]	Time 0.760 (0.751)	Data 0.001 (0.002)	Loss 2.7545 (2.7382)	Prec@1 29.688 (34.603)	Prec@5 64.062 (65.031)
Epoch: [28][6650/14090]	Time 0.738 (0.751)	Data 0.001 (0.002)	Loss 2.6007 (2.7382)	Prec@1 39.062 (34.603)	Prec@5 65.625 (65.031)
Epoch: [28][6660/14090]	Time 0.765 (0.751)	Data 0.001 (0.002)	Loss 2.9374 (2.7382)	Prec@1 32.031 (34.604)	Prec@5 65.625 (65.032)
Epoch: [28][6670/14090]	Time 0.738 (0.751)	Data 0.001 (0.002)	Loss 2.7188 (2.7383)	Prec@1 39.844 (34.603)	Prec@5 60.938 (65.029)
Epoch: [28][6680/14090]	Time 0.758 (0.751)	Data 0.002 (0.002)	Loss 3.0245 (2.7383)	Prec@1 26.562 (34.603)	Prec@5 60.938 (65.030)
Epoch: [28][6690/14090]	Time 0.744 (0.751)	Data 0.001 (0.002)	Loss 2.6805 (2.7384)	Prec@1 37.500 (34.601)	Prec@5 65.625 (65.030)
Epoch: [28][6700/14090]	Time 0.742 (0.751)	Data 0.001 (0.002)	Loss 2.6484 (2.7383)	Prec@1 35.156 (34.600)	Prec@5 63.281 (65.031)
Epoch: [28][6710/14090]	Time 0.767 (0.751)	Data 0.001 (0.002)	Loss 2.7298 (2.7383)	Prec@1 37.500 (34.601)	Prec@5 64.062 (65.030)
Epoch: [28][6720/14090]	Time 0.763 (0.751)	Data 0.001 (0.002)	Loss 2.8909 (2.7383)	Prec@1 30.469 (34.599)	Prec@5 62.500 (65.028)
Epoch: [28][6730/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 2.9402 (2.7384)	Prec@1 33.594 (34.597)	Prec@5 64.062 (65.027)
Epoch: [28][6740/14090]	Time 0.744 (0.751)	Data 0.001 (0.002)	Loss 2.7499 (2.7383)	Prec@1 34.375 (34.602)	Prec@5 66.406 (65.029)
Epoch: [28][6750/14090]	Time 0.725 (0.751)	Data 0.002 (0.002)	Loss 2.8009 (2.7383)	Prec@1 29.688 (34.600)	Prec@5 64.062 (65.029)
Epoch: [28][6760/14090]	Time 0.766 (0.751)	Data 0.001 (0.002)	Loss 3.0860 (2.7385)	Prec@1 32.031 (34.597)	Prec@5 57.031 (65.025)
Epoch: [28][6770/14090]	Time 0.730 (0.751)	Data 0.001 (0.002)	Loss 2.4609 (2.7385)	Prec@1 43.750 (34.597)	Prec@5 71.094 (65.025)
Epoch: [28][6780/14090]	Time 0.766 (0.751)	Data 0.001 (0.002)	Loss 2.3685 (2.7385)	Prec@1 37.500 (34.596)	Prec@5 75.781 (65.026)
Epoch: [28][6790/14090]	Time 0.745 (0.751)	Data 0.001 (0.002)	Loss 2.9393 (2.7386)	Prec@1 30.469 (34.592)	Prec@5 63.281 (65.028)
Epoch: [28][6800/14090]	Time 0.749 (0.751)	Data 0.001 (0.002)	Loss 2.6633 (2.7386)	Prec@1 37.500 (34.594)	Prec@5 64.062 (65.029)
Epoch: [28][6810/14090]	Time 0.775 (0.751)	Data 0.001 (0.002)	Loss 2.8464 (2.7386)	Prec@1 33.594 (34.595)	Prec@5 60.938 (65.028)
Epoch: [28][6820/14090]	Time 0.731 (0.751)	Data 0.002 (0.002)	Loss 2.8131 (2.7386)	Prec@1 36.719 (34.597)	Prec@5 67.969 (65.028)
Epoch: [28][6830/14090]	Time 0.733 (0.751)	Data 0.001 (0.002)	Loss 2.8499 (2.7386)	Prec@1 30.469 (34.595)	Prec@5 63.281 (65.026)
Epoch: [28][6840/14090]	Time 0.721 (0.751)	Data 0.001 (0.002)	Loss 2.7457 (2.7386)	Prec@1 35.156 (34.594)	Prec@5 67.188 (65.025)
Epoch: [28][6850/14090]	Time 0.724 (0.751)	Data 0.001 (0.002)	Loss 3.0535 (2.7386)	Prec@1 30.469 (34.597)	Prec@5 62.500 (65.026)
Epoch: [28][6860/14090]	Time 0.774 (0.751)	Data 0.001 (0.002)	Loss 2.5535 (2.7386)	Prec@1 39.844 (34.595)	Prec@5 68.750 (65.026)
Epoch: [28][6870/14090]	Time 0.730 (0.751)	Data 0.001 (0.002)	Loss 2.9357 (2.7387)	Prec@1 34.375 (34.594)	Prec@5 59.375 (65.023)
Epoch: [28][6880/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 2.8290 (2.7389)	Prec@1 31.250 (34.592)	Prec@5 60.938 (65.020)
Epoch: [28][6890/14090]	Time 0.761 (0.751)	Data 0.003 (0.002)	Loss 2.7848 (2.7388)	Prec@1 36.719 (34.594)	Prec@5 60.156 (65.022)
Epoch: [28][6900/14090]	Time 0.728 (0.751)	Data 0.001 (0.002)	Loss 3.0113 (2.7388)	Prec@1 30.469 (34.592)	Prec@5 60.938 (65.020)
Epoch: [28][6910/14090]	Time 0.767 (0.751)	Data 0.001 (0.002)	Loss 2.8648 (2.7389)	Prec@1 34.375 (34.593)	Prec@5 62.500 (65.017)
Epoch: [28][6920/14090]	Time 0.772 (0.751)	Data 0.001 (0.002)	Loss 2.7253 (2.7389)	Prec@1 42.188 (34.594)	Prec@5 61.719 (65.014)
Epoch: [28][6930/14090]	Time 0.730 (0.751)	Data 0.001 (0.002)	Loss 2.9309 (2.7390)	Prec@1 31.250 (34.594)	Prec@5 61.719 (65.011)
Epoch: [28][6940/14090]	Time 0.742 (0.751)	Data 0.001 (0.002)	Loss 2.4576 (2.7390)	Prec@1 45.312 (34.596)	Prec@5 68.750 (65.008)
Epoch: [28][6950/14090]	Time 0.749 (0.751)	Data 0.001 (0.002)	Loss 2.7709 (2.7389)	Prec@1 33.594 (34.596)	Prec@5 65.625 (65.007)
Epoch: [28][6960/14090]	Time 0.756 (0.751)	Data 0.002 (0.002)	Loss 3.0919 (2.7390)	Prec@1 32.031 (34.594)	Prec@5 60.938 (65.005)
Epoch: [28][6970/14090]	Time 0.746 (0.751)	Data 0.001 (0.002)	Loss 2.7284 (2.7390)	Prec@1 32.812 (34.593)	Prec@5 67.969 (65.005)
Epoch: [28][6980/14090]	Time 0.734 (0.751)	Data 0.001 (0.002)	Loss 2.9511 (2.7391)	Prec@1 32.812 (34.593)	Prec@5 61.719 (65.002)
Epoch: [28][6990/14090]	Time 0.777 (0.751)	Data 0.001 (0.002)	Loss 2.4383 (2.7390)	Prec@1 39.062 (34.595)	Prec@5 71.094 (65.004)
Epoch: [28][7000/14090]	Time 0.750 (0.751)	Data 0.001 (0.002)	Loss 3.0388 (2.7390)	Prec@1 28.906 (34.594)	Prec@5 60.938 (65.003)
Epoch: [28][7010/14090]	Time 0.760 (0.751)	Data 0.001 (0.002)	Loss 2.9751 (2.7389)	Prec@1 35.156 (34.595)	Prec@5 63.281 (65.006)
Epoch: [28][7020/14090]	Time 0.746 (0.751)	Data 0.001 (0.002)	Loss 3.1199 (2.7388)	Prec@1 32.812 (34.598)	Prec@5 53.906 (65.006)
Epoch: [28][7030/14090]	Time 0.741 (0.751)	Data 0.002 (0.002)	Loss 2.8463 (2.7389)	Prec@1 31.250 (34.594)	Prec@5 57.812 (65.002)
Epoch: [28][7040/14090]	Time 0.737 (0.751)	Data 0.001 (0.002)	Loss 2.6978 (2.7390)	Prec@1 39.062 (34.593)	Prec@5 67.969 (65.000)
Epoch: [28][7050/14090]	Time 0.727 (0.751)	Data 0.001 (0.002)	Loss 2.7228 (2.7390)	Prec@1 35.156 (34.592)	Prec@5 67.188 (64.999)
Epoch: [28][7060/14090]	Time 0.783 (0.751)	Data 0.001 (0.002)	Loss 2.7156 (2.7390)	Prec@1 29.688 (34.592)	Prec@5 67.969 (65.001)
Epoch: [28][7070/14090]	Time 0.749 (0.751)	Data 0.001 (0.002)	Loss 2.5225 (2.7390)	Prec@1 39.844 (34.593)	Prec@5 69.531 (65.001)
Epoch: [28][7080/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 2.8776 (2.7391)	Prec@1 37.500 (34.591)	Prec@5 61.719 (64.997)
Epoch: [28][7090/14090]	Time 0.781 (0.751)	Data 0.001 (0.002)	Loss 3.1919 (2.7391)	Prec@1 28.125 (34.591)	Prec@5 52.344 (64.995)
Epoch: [28][7100/14090]	Time 0.746 (0.751)	Data 0.002 (0.002)	Loss 2.7702 (2.7391)	Prec@1 32.031 (34.591)	Prec@5 64.844 (64.996)
Epoch: [28][7110/14090]	Time 0.744 (0.751)	Data 0.001 (0.002)	Loss 2.8889 (2.7392)	Prec@1 33.594 (34.591)	Prec@5 63.281 (64.995)
Epoch: [28][7120/14090]	Time 0.774 (0.751)	Data 0.001 (0.002)	Loss 2.9347 (2.7392)	Prec@1 29.688 (34.591)	Prec@5 60.156 (64.994)
Epoch: [28][7130/14090]	Time 0.753 (0.751)	Data 0.001 (0.002)	Loss 2.8964 (2.7393)	Prec@1 28.906 (34.590)	Prec@5 64.844 (64.993)
Epoch: [28][7140/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 2.8448 (2.7393)	Prec@1 34.375 (34.589)	Prec@5 67.969 (64.992)
Epoch: [28][7150/14090]	Time 0.774 (0.751)	Data 0.001 (0.002)	Loss 2.6548 (2.7394)	Prec@1 37.500 (34.590)	Prec@5 65.625 (64.989)
Epoch: [28][7160/14090]	Time 0.776 (0.751)	Data 0.001 (0.002)	Loss 2.7824 (2.7395)	Prec@1 27.344 (34.587)	Prec@5 66.406 (64.988)
Epoch: [28][7170/14090]	Time 0.730 (0.751)	Data 0.002 (0.002)	Loss 2.9533 (2.7396)	Prec@1 28.906 (34.588)	Prec@5 60.938 (64.985)
Epoch: [28][7180/14090]	Time 0.777 (0.751)	Data 0.001 (0.002)	Loss 2.9644 (2.7398)	Prec@1 29.688 (34.586)	Prec@5 58.594 (64.982)
Epoch: [28][7190/14090]	Time 0.760 (0.751)	Data 0.001 (0.002)	Loss 2.6844 (2.7399)	Prec@1 33.594 (34.583)	Prec@5 68.750 (64.979)
Epoch: [28][7200/14090]	Time 0.762 (0.751)	Data 0.001 (0.002)	Loss 2.6326 (2.7400)	Prec@1 35.156 (34.580)	Prec@5 68.750 (64.977)
Epoch: [28][7210/14090]	Time 0.730 (0.751)	Data 0.001 (0.002)	Loss 2.9140 (2.7401)	Prec@1 35.156 (34.582)	Prec@5 58.594 (64.977)
Epoch: [28][7220/14090]	Time 0.728 (0.751)	Data 0.001 (0.002)	Loss 2.7943 (2.7402)	Prec@1 30.469 (34.582)	Prec@5 64.062 (64.977)
Epoch: [28][7230/14090]	Time 0.745 (0.751)	Data 0.001 (0.002)	Loss 2.7353 (2.7402)	Prec@1 31.250 (34.580)	Prec@5 64.062 (64.978)
Epoch: [28][7240/14090]	Time 0.781 (0.751)	Data 0.002 (0.002)	Loss 2.8184 (2.7401)	Prec@1 33.594 (34.584)	Prec@5 58.594 (64.978)
Epoch: [28][7250/14090]	Time 0.741 (0.751)	Data 0.001 (0.002)	Loss 2.6980 (2.7401)	Prec@1 38.281 (34.588)	Prec@5 62.500 (64.979)
Epoch: [28][7260/14090]	Time 0.732 (0.751)	Data 0.001 (0.002)	Loss 2.5519 (2.7401)	Prec@1 35.938 (34.590)	Prec@5 69.531 (64.978)
Epoch: [28][7270/14090]	Time 0.732 (0.751)	Data 0.001 (0.002)	Loss 2.5954 (2.7401)	Prec@1 36.719 (34.588)	Prec@5 71.875 (64.977)
Epoch: [28][7280/14090]	Time 0.753 (0.751)	Data 0.001 (0.002)	Loss 2.8671 (2.7402)	Prec@1 26.562 (34.585)	Prec@5 61.719 (64.978)
Epoch: [28][7290/14090]	Time 0.733 (0.751)	Data 0.001 (0.002)	Loss 2.7886 (2.7402)	Prec@1 29.688 (34.584)	Prec@5 64.062 (64.979)
Epoch: [28][7300/14090]	Time 0.777 (0.751)	Data 0.001 (0.002)	Loss 2.8194 (2.7402)	Prec@1 31.250 (34.585)	Prec@5 65.625 (64.980)
Epoch: [28][7310/14090]	Time 0.756 (0.751)	Data 0.002 (0.002)	Loss 2.8926 (2.7403)	Prec@1 33.594 (34.583)	Prec@5 61.719 (64.979)
Epoch: [28][7320/14090]	Time 0.741 (0.751)	Data 0.001 (0.002)	Loss 2.7743 (2.7402)	Prec@1 32.031 (34.583)	Prec@5 64.062 (64.981)
Epoch: [28][7330/14090]	Time 0.743 (0.751)	Data 0.001 (0.002)	Loss 3.2351 (2.7404)	Prec@1 28.906 (34.580)	Prec@5 54.688 (64.978)
Epoch: [28][7340/14090]	Time 0.733 (0.751)	Data 0.001 (0.002)	Loss 2.5553 (2.7403)	Prec@1 37.500 (34.578)	Prec@5 71.094 (64.980)
Epoch: [28][7350/14090]	Time 0.762 (0.751)	Data 0.001 (0.002)	Loss 2.7830 (2.7404)	Prec@1 31.250 (34.577)	Prec@5 63.281 (64.977)
Epoch: [28][7360/14090]	Time 0.743 (0.751)	Data 0.001 (0.002)	Loss 2.9874 (2.7405)	Prec@1 32.031 (34.576)	Prec@5 57.812 (64.977)
Epoch: [28][7370/14090]	Time 0.735 (0.751)	Data 0.001 (0.002)	Loss 2.8118 (2.7404)	Prec@1 33.594 (34.578)	Prec@5 59.375 (64.979)
Epoch: [28][7380/14090]	Time 0.763 (0.751)	Data 0.002 (0.002)	Loss 2.9908 (2.7404)	Prec@1 28.906 (34.578)	Prec@5 60.938 (64.978)
Epoch: [28][7390/14090]	Time 0.781 (0.751)	Data 0.001 (0.002)	Loss 2.6026 (2.7404)	Prec@1 36.719 (34.576)	Prec@5 70.312 (64.979)
Epoch: [28][7400/14090]	Time 0.724 (0.751)	Data 0.001 (0.002)	Loss 3.0062 (2.7405)	Prec@1 28.906 (34.574)	Prec@5 53.906 (64.976)
Epoch: [28][7410/14090]	Time 0.773 (0.751)	Data 0.001 (0.002)	Loss 2.7586 (2.7406)	Prec@1 35.938 (34.575)	Prec@5 64.844 (64.977)
Epoch: [28][7420/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 3.0190 (2.7407)	Prec@1 28.906 (34.574)	Prec@5 61.719 (64.976)
Epoch: [28][7430/14090]	Time 0.733 (0.751)	Data 0.001 (0.001)	Loss 2.7948 (2.7407)	Prec@1 28.125 (34.572)	Prec@5 67.188 (64.975)
Epoch: [28][7440/14090]	Time 0.775 (0.751)	Data 0.001 (0.001)	Loss 2.8003 (2.7407)	Prec@1 28.125 (34.570)	Prec@5 60.938 (64.975)
Epoch: [28][7450/14090]	Time 0.737 (0.751)	Data 0.002 (0.001)	Loss 2.7459 (2.7406)	Prec@1 34.375 (34.572)	Prec@5 65.625 (64.977)
Epoch: [28][7460/14090]	Time 0.725 (0.751)	Data 0.001 (0.001)	Loss 2.7315 (2.7406)	Prec@1 35.156 (34.572)	Prec@5 61.719 (64.979)
Epoch: [28][7470/14090]	Time 0.766 (0.751)	Data 0.001 (0.001)	Loss 2.8371 (2.7407)	Prec@1 30.469 (34.572)	Prec@5 60.938 (64.975)
Epoch: [28][7480/14090]	Time 0.733 (0.751)	Data 0.001 (0.001)	Loss 2.6462 (2.7407)	Prec@1 37.500 (34.573)	Prec@5 67.188 (64.976)
Epoch: [28][7490/14090]	Time 0.759 (0.751)	Data 0.001 (0.001)	Loss 2.8203 (2.7407)	Prec@1 31.250 (34.573)	Prec@5 65.625 (64.974)
Epoch: [28][7500/14090]	Time 0.761 (0.751)	Data 0.001 (0.001)	Loss 2.7219 (2.7406)	Prec@1 29.688 (34.571)	Prec@5 67.188 (64.974)
Epoch: [28][7510/14090]	Time 0.752 (0.751)	Data 0.002 (0.001)	Loss 2.8710 (2.7406)	Prec@1 28.125 (34.572)	Prec@5 63.281 (64.974)
Epoch: [28][7520/14090]	Time 0.742 (0.751)	Data 0.002 (0.001)	Loss 2.5406 (2.7406)	Prec@1 39.062 (34.574)	Prec@5 69.531 (64.975)
Epoch: [28][7530/14090]	Time 0.743 (0.751)	Data 0.001 (0.001)	Loss 2.7403 (2.7406)	Prec@1 27.344 (34.575)	Prec@5 66.406 (64.976)
Epoch: [28][7540/14090]	Time 0.741 (0.751)	Data 0.001 (0.001)	Loss 3.0495 (2.7406)	Prec@1 26.562 (34.574)	Prec@5 63.281 (64.974)
Epoch: [28][7550/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 2.4603 (2.7406)	Prec@1 37.500 (34.575)	Prec@5 70.312 (64.976)
Epoch: [28][7560/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 2.9787 (2.7406)	Prec@1 28.125 (34.573)	Prec@5 59.375 (64.976)
Epoch: [28][7570/14090]	Time 0.730 (0.751)	Data 0.001 (0.001)	Loss 2.6847 (2.7406)	Prec@1 34.375 (34.574)	Prec@5 64.062 (64.976)
Epoch: [28][7580/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 2.5588 (2.7406)	Prec@1 33.594 (34.574)	Prec@5 72.656 (64.974)
Epoch: [28][7590/14090]	Time 0.732 (0.751)	Data 0.002 (0.001)	Loss 2.6808 (2.7407)	Prec@1 36.719 (34.572)	Prec@5 66.406 (64.973)
Epoch: [28][7600/14090]	Time 0.742 (0.751)	Data 0.001 (0.001)	Loss 2.8254 (2.7406)	Prec@1 32.031 (34.572)	Prec@5 63.281 (64.974)
Epoch: [28][7610/14090]	Time 0.731 (0.751)	Data 0.001 (0.001)	Loss 2.7647 (2.7407)	Prec@1 30.469 (34.572)	Prec@5 66.406 (64.974)
Epoch: [28][7620/14090]	Time 0.767 (0.751)	Data 0.001 (0.001)	Loss 2.6846 (2.7406)	Prec@1 35.156 (34.574)	Prec@5 65.625 (64.977)
Epoch: [28][7630/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 2.8274 (2.7406)	Prec@1 28.906 (34.572)	Prec@5 63.281 (64.976)
Epoch: [28][7640/14090]	Time 0.733 (0.751)	Data 0.001 (0.001)	Loss 2.7318 (2.7407)	Prec@1 32.031 (34.571)	Prec@5 69.531 (64.975)
Epoch: [28][7650/14090]	Time 0.761 (0.751)	Data 0.001 (0.001)	Loss 2.5851 (2.7406)	Prec@1 35.156 (34.576)	Prec@5 72.656 (64.978)
Epoch: [28][7660/14090]	Time 0.733 (0.751)	Data 0.002 (0.001)	Loss 2.8083 (2.7405)	Prec@1 32.812 (34.577)	Prec@5 66.406 (64.979)
Epoch: [28][7670/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 2.3489 (2.7404)	Prec@1 39.844 (34.578)	Prec@5 71.875 (64.981)
Epoch: [28][7680/14090]	Time 0.729 (0.751)	Data 0.001 (0.001)	Loss 2.5661 (2.7405)	Prec@1 38.281 (34.575)	Prec@5 68.750 (64.980)
Epoch: [28][7690/14090]	Time 0.777 (0.751)	Data 0.001 (0.001)	Loss 2.5829 (2.7404)	Prec@1 39.062 (34.576)	Prec@5 67.188 (64.979)
Epoch: [28][7700/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 2.9723 (2.7403)	Prec@1 32.812 (34.579)	Prec@5 61.719 (64.981)
Epoch: [28][7710/14090]	Time 0.725 (0.751)	Data 0.001 (0.001)	Loss 2.7005 (2.7402)	Prec@1 35.156 (34.581)	Prec@5 70.312 (64.983)
Epoch: [28][7720/14090]	Time 0.768 (0.751)	Data 0.001 (0.001)	Loss 2.8132 (2.7404)	Prec@1 35.938 (34.579)	Prec@5 63.281 (64.980)
Epoch: [28][7730/14090]	Time 0.727 (0.751)	Data 0.002 (0.001)	Loss 2.5103 (2.7404)	Prec@1 39.062 (34.581)	Prec@5 63.281 (64.980)
Epoch: [28][7740/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 2.6921 (2.7403)	Prec@1 32.812 (34.583)	Prec@5 66.406 (64.980)
Epoch: [28][7750/14090]	Time 0.729 (0.751)	Data 0.001 (0.001)	Loss 2.5324 (2.7403)	Prec@1 35.156 (34.582)	Prec@5 70.312 (64.982)
Epoch: [28][7760/14090]	Time 0.732 (0.751)	Data 0.002 (0.001)	Loss 2.9275 (2.7403)	Prec@1 28.906 (34.582)	Prec@5 58.594 (64.980)
Epoch: [28][7770/14090]	Time 0.782 (0.751)	Data 0.001 (0.001)	Loss 2.9210 (2.7404)	Prec@1 30.469 (34.580)	Prec@5 54.688 (64.978)
Epoch: [28][7780/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 2.6704 (2.7404)	Prec@1 35.156 (34.579)	Prec@5 62.500 (64.978)
Epoch: [28][7790/14090]	Time 0.778 (0.751)	Data 0.001 (0.001)	Loss 2.5898 (2.7405)	Prec@1 36.719 (34.577)	Prec@5 64.844 (64.974)
Epoch: [28][7800/14090]	Time 0.749 (0.751)	Data 0.002 (0.001)	Loss 2.5854 (2.7407)	Prec@1 35.156 (34.573)	Prec@5 61.719 (64.970)
Epoch: [28][7810/14090]	Time 0.730 (0.751)	Data 0.001 (0.001)	Loss 2.5243 (2.7408)	Prec@1 42.188 (34.574)	Prec@5 67.969 (64.968)
Epoch: [28][7820/14090]	Time 0.768 (0.751)	Data 0.001 (0.001)	Loss 2.5350 (2.7408)	Prec@1 37.500 (34.576)	Prec@5 70.312 (64.968)
Epoch: [28][7830/14090]	Time 0.739 (0.751)	Data 0.001 (0.001)	Loss 2.7537 (2.7408)	Prec@1 31.250 (34.575)	Prec@5 60.938 (64.968)
Epoch: [28][7840/14090]	Time 0.757 (0.751)	Data 0.001 (0.001)	Loss 2.8211 (2.7409)	Prec@1 34.375 (34.574)	Prec@5 64.062 (64.967)
Epoch: [28][7850/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 2.7456 (2.7409)	Prec@1 35.938 (34.573)	Prec@5 67.188 (64.966)
Epoch: [28][7860/14090]	Time 0.760 (0.751)	Data 0.001 (0.001)	Loss 2.5167 (2.7409)	Prec@1 37.500 (34.573)	Prec@5 70.312 (64.967)
Epoch: [28][7870/14090]	Time 0.733 (0.751)	Data 0.002 (0.001)	Loss 2.7977 (2.7409)	Prec@1 37.500 (34.573)	Prec@5 65.625 (64.968)
Epoch: [28][7880/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 2.7538 (2.7408)	Prec@1 35.938 (34.574)	Prec@5 64.062 (64.969)
Epoch: [28][7890/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 2.5469 (2.7409)	Prec@1 37.500 (34.574)	Prec@5 70.312 (64.968)
Epoch: [28][7900/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 2.6332 (2.7409)	Prec@1 34.375 (34.573)	Prec@5 64.844 (64.968)
Epoch: [28][7910/14090]	Time 0.743 (0.751)	Data 0.001 (0.001)	Loss 2.7024 (2.7409)	Prec@1 35.156 (34.574)	Prec@5 67.188 (64.968)
Epoch: [28][7920/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.8859 (2.7408)	Prec@1 32.812 (34.575)	Prec@5 65.625 (64.969)
Epoch: [28][7930/14090]	Time 0.730 (0.751)	Data 0.001 (0.001)	Loss 2.7151 (2.7408)	Prec@1 33.594 (34.576)	Prec@5 70.312 (64.970)
Epoch: [28][7940/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 2.7547 (2.7408)	Prec@1 35.938 (34.578)	Prec@5 70.312 (64.970)
Epoch: [28][7950/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 2.9006 (2.7407)	Prec@1 35.938 (34.580)	Prec@5 64.062 (64.971)
Epoch: [28][7960/14090]	Time 0.741 (0.751)	Data 0.001 (0.001)	Loss 2.8465 (2.7408)	Prec@1 30.469 (34.577)	Prec@5 66.406 (64.972)
Epoch: [28][7970/14090]	Time 0.763 (0.751)	Data 0.001 (0.001)	Loss 2.5872 (2.7408)	Prec@1 36.719 (34.575)	Prec@5 65.625 (64.970)
Epoch: [28][7980/14090]	Time 0.776 (0.751)	Data 0.001 (0.001)	Loss 2.9897 (2.7407)	Prec@1 28.125 (34.577)	Prec@5 58.594 (64.971)
Epoch: [28][7990/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 2.5613 (2.7407)	Prec@1 39.844 (34.576)	Prec@5 68.750 (64.969)
Epoch: [28][8000/14090]	Time 0.731 (0.751)	Data 0.001 (0.001)	Loss 2.7672 (2.7407)	Prec@1 32.812 (34.581)	Prec@5 65.625 (64.972)
Epoch: [28][8010/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.5837 (2.7406)	Prec@1 37.500 (34.582)	Prec@5 69.531 (64.976)
Epoch: [28][8020/14090]	Time 0.741 (0.751)	Data 0.001 (0.001)	Loss 2.4274 (2.7406)	Prec@1 38.281 (34.580)	Prec@5 73.438 (64.976)
Epoch: [28][8030/14090]	Time 0.729 (0.751)	Data 0.002 (0.001)	Loss 2.6045 (2.7405)	Prec@1 38.281 (34.584)	Prec@5 69.531 (64.977)
Epoch: [28][8040/14090]	Time 0.782 (0.751)	Data 0.001 (0.001)	Loss 2.8842 (2.7405)	Prec@1 35.156 (34.586)	Prec@5 56.250 (64.975)
Epoch: [28][8050/14090]	Time 0.733 (0.751)	Data 0.001 (0.001)	Loss 2.7702 (2.7406)	Prec@1 35.156 (34.587)	Prec@5 64.844 (64.975)
Epoch: [28][8060/14090]	Time 0.729 (0.751)	Data 0.001 (0.001)	Loss 2.8772 (2.7406)	Prec@1 27.344 (34.586)	Prec@5 67.188 (64.975)
Epoch: [28][8070/14090]	Time 0.772 (0.751)	Data 0.001 (0.001)	Loss 2.6183 (2.7406)	Prec@1 39.062 (34.586)	Prec@5 70.312 (64.975)
Epoch: [28][8080/14090]	Time 0.724 (0.751)	Data 0.003 (0.001)	Loss 2.9537 (2.7407)	Prec@1 32.812 (34.583)	Prec@5 60.938 (64.971)
Epoch: [28][8090/14090]	Time 0.778 (0.751)	Data 0.001 (0.001)	Loss 2.6435 (2.7408)	Prec@1 37.500 (34.582)	Prec@5 67.188 (64.971)
Epoch: [28][8100/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 2.5536 (2.7407)	Prec@1 35.156 (34.584)	Prec@5 71.094 (64.971)
Epoch: [28][8110/14090]	Time 0.761 (0.751)	Data 0.001 (0.001)	Loss 2.5955 (2.7406)	Prec@1 39.844 (34.585)	Prec@5 66.406 (64.973)
Epoch: [28][8120/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 2.6791 (2.7405)	Prec@1 35.156 (34.587)	Prec@5 67.969 (64.975)
Epoch: [28][8130/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 2.8697 (2.7405)	Prec@1 32.812 (34.588)	Prec@5 63.281 (64.976)
Epoch: [28][8140/14090]	Time 0.741 (0.751)	Data 0.001 (0.001)	Loss 2.6496 (2.7405)	Prec@1 39.844 (34.589)	Prec@5 65.625 (64.977)
Epoch: [28][8150/14090]	Time 0.727 (0.751)	Data 0.002 (0.001)	Loss 2.7095 (2.7405)	Prec@1 36.719 (34.591)	Prec@5 66.406 (64.974)
Epoch: [28][8160/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.8163 (2.7406)	Prec@1 37.500 (34.590)	Prec@5 61.719 (64.972)
Epoch: [28][8170/14090]	Time 0.724 (0.751)	Data 0.001 (0.001)	Loss 2.9892 (2.7406)	Prec@1 31.250 (34.590)	Prec@5 62.500 (64.974)
Epoch: [28][8180/14090]	Time 0.725 (0.751)	Data 0.001 (0.001)	Loss 2.8068 (2.7406)	Prec@1 32.812 (34.590)	Prec@5 62.500 (64.974)
Epoch: [28][8190/14090]	Time 0.770 (0.751)	Data 0.001 (0.001)	Loss 2.4882 (2.7406)	Prec@1 43.750 (34.592)	Prec@5 65.625 (64.975)
Epoch: [28][8200/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 2.9042 (2.7406)	Prec@1 38.281 (34.593)	Prec@5 61.719 (64.975)
Epoch: [28][8210/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 2.3981 (2.7406)	Prec@1 39.062 (34.594)	Prec@5 71.875 (64.975)
Epoch: [28][8220/14090]	Time 0.788 (0.751)	Data 0.002 (0.001)	Loss 2.7380 (2.7406)	Prec@1 29.688 (34.593)	Prec@5 66.406 (64.975)
Epoch: [28][8230/14090]	Time 0.764 (0.751)	Data 0.001 (0.001)	Loss 2.6961 (2.7406)	Prec@1 35.156 (34.594)	Prec@5 63.281 (64.975)
Epoch: [28][8240/14090]	Time 0.729 (0.751)	Data 0.001 (0.001)	Loss 2.8011 (2.7406)	Prec@1 32.031 (34.594)	Prec@5 60.938 (64.974)
Epoch: [28][8250/14090]	Time 0.739 (0.751)	Data 0.001 (0.001)	Loss 2.7988 (2.7406)	Prec@1 38.281 (34.595)	Prec@5 61.719 (64.974)
Epoch: [28][8260/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 2.4479 (2.7406)	Prec@1 41.406 (34.593)	Prec@5 71.875 (64.975)
Epoch: [28][8270/14090]	Time 0.760 (0.751)	Data 0.001 (0.001)	Loss 2.6995 (2.7406)	Prec@1 32.031 (34.593)	Prec@5 64.062 (64.975)
Epoch: [28][8280/14090]	Time 0.733 (0.751)	Data 0.001 (0.001)	Loss 2.7392 (2.7406)	Prec@1 37.500 (34.591)	Prec@5 64.062 (64.975)
Epoch: [28][8290/14090]	Time 0.783 (0.751)	Data 0.002 (0.001)	Loss 2.6658 (2.7407)	Prec@1 37.500 (34.591)	Prec@5 69.531 (64.974)
Epoch: [28][8300/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.8302 (2.7407)	Prec@1 38.281 (34.591)	Prec@5 66.406 (64.973)
Epoch: [28][8310/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 2.9526 (2.7407)	Prec@1 33.594 (34.592)	Prec@5 60.938 (64.974)
Epoch: [28][8320/14090]	Time 0.730 (0.751)	Data 0.001 (0.001)	Loss 2.7743 (2.7406)	Prec@1 35.156 (34.592)	Prec@5 65.625 (64.974)
Epoch: [28][8330/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 2.9622 (2.7407)	Prec@1 32.812 (34.593)	Prec@5 57.812 (64.973)
Epoch: [28][8340/14090]	Time 0.785 (0.751)	Data 0.001 (0.001)	Loss 2.8463 (2.7407)	Prec@1 33.594 (34.594)	Prec@5 66.406 (64.974)
Epoch: [28][8350/14090]	Time 0.767 (0.751)	Data 0.004 (0.001)	Loss 2.6759 (2.7405)	Prec@1 39.062 (34.597)	Prec@5 67.969 (64.977)
Epoch: [28][8360/14090]	Time 0.728 (0.751)	Data 0.002 (0.001)	Loss 3.0033 (2.7405)	Prec@1 31.250 (34.599)	Prec@5 58.594 (64.978)
Epoch: [28][8370/14090]	Time 0.770 (0.751)	Data 0.001 (0.001)	Loss 2.6877 (2.7404)	Prec@1 31.250 (34.601)	Prec@5 67.969 (64.980)
Epoch: [28][8380/14090]	Time 0.771 (0.751)	Data 0.001 (0.001)	Loss 2.6512 (2.7404)	Prec@1 36.719 (34.603)	Prec@5 66.406 (64.982)
Epoch: [28][8390/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 2.7553 (2.7404)	Prec@1 34.375 (34.603)	Prec@5 64.062 (64.983)
Epoch: [28][8400/14090]	Time 0.733 (0.751)	Data 0.001 (0.001)	Loss 2.7920 (2.7406)	Prec@1 32.031 (34.601)	Prec@5 60.938 (64.980)
Epoch: [28][8410/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 2.7659 (2.7405)	Prec@1 33.594 (34.600)	Prec@5 64.844 (64.980)
Epoch: [28][8420/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 2.7262 (2.7406)	Prec@1 31.250 (34.600)	Prec@5 72.656 (64.979)
Epoch: [28][8430/14090]	Time 0.775 (0.751)	Data 0.002 (0.001)	Loss 2.9656 (2.7407)	Prec@1 25.000 (34.598)	Prec@5 63.281 (64.980)
Epoch: [28][8440/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 2.7171 (2.7406)	Prec@1 31.250 (34.596)	Prec@5 59.375 (64.979)
Epoch: [28][8450/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 2.6178 (2.7406)	Prec@1 40.625 (34.597)	Prec@5 68.750 (64.980)
Epoch: [28][8460/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 2.4976 (2.7405)	Prec@1 39.844 (34.599)	Prec@5 73.438 (64.983)
Epoch: [28][8470/14090]	Time 0.791 (0.751)	Data 0.001 (0.001)	Loss 2.7524 (2.7405)	Prec@1 34.375 (34.598)	Prec@5 66.406 (64.981)
Epoch: [28][8480/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 2.4910 (2.7405)	Prec@1 40.625 (34.597)	Prec@5 68.750 (64.983)
Epoch: [28][8490/14090]	Time 0.741 (0.751)	Data 0.001 (0.001)	Loss 2.9679 (2.7406)	Prec@1 28.906 (34.594)	Prec@5 64.844 (64.981)
Epoch: [28][8500/14090]	Time 0.761 (0.751)	Data 0.003 (0.001)	Loss 2.7453 (2.7406)	Prec@1 35.938 (34.593)	Prec@5 64.844 (64.981)
Epoch: [28][8510/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 2.6229 (2.7406)	Prec@1 38.281 (34.591)	Prec@5 68.750 (64.980)
Epoch: [28][8520/14090]	Time 0.779 (0.751)	Data 0.001 (0.001)	Loss 2.8892 (2.7409)	Prec@1 34.375 (34.589)	Prec@5 60.938 (64.976)
Epoch: [28][8530/14090]	Time 0.741 (0.751)	Data 0.001 (0.001)	Loss 2.6239 (2.7409)	Prec@1 34.375 (34.588)	Prec@5 66.406 (64.976)
Epoch: [28][8540/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 2.5634 (2.7409)	Prec@1 32.031 (34.587)	Prec@5 69.531 (64.976)
Epoch: [28][8550/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 2.5155 (2.7408)	Prec@1 35.938 (34.587)	Prec@5 69.531 (64.977)
Epoch: [28][8560/14090]	Time 0.739 (0.751)	Data 0.001 (0.001)	Loss 2.8029 (2.7409)	Prec@1 39.844 (34.588)	Prec@5 63.281 (64.977)
Epoch: [28][8570/14090]	Time 0.739 (0.751)	Data 0.002 (0.001)	Loss 2.4297 (2.7408)	Prec@1 40.625 (34.589)	Prec@5 71.875 (64.977)
Epoch: [28][8580/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 2.5258 (2.7408)	Prec@1 39.062 (34.590)	Prec@5 70.312 (64.978)
Epoch: [28][8590/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 3.0600 (2.7409)	Prec@1 28.125 (34.588)	Prec@5 60.156 (64.975)
Epoch: [28][8600/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 2.6235 (2.7409)	Prec@1 42.188 (34.589)	Prec@5 70.312 (64.975)
Epoch: [28][8610/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 3.0688 (2.7409)	Prec@1 26.562 (34.589)	Prec@5 53.906 (64.975)
Epoch: [28][8620/14090]	Time 0.729 (0.751)	Data 0.001 (0.001)	Loss 2.7728 (2.7408)	Prec@1 34.375 (34.593)	Prec@5 64.844 (64.979)
Epoch: [28][8630/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 3.0870 (2.7409)	Prec@1 28.906 (34.589)	Prec@5 57.812 (64.977)
Epoch: [28][8640/14090]	Time 0.739 (0.751)	Data 0.002 (0.001)	Loss 2.6837 (2.7409)	Prec@1 39.844 (34.589)	Prec@5 64.844 (64.974)
Epoch: [28][8650/14090]	Time 0.759 (0.751)	Data 0.001 (0.001)	Loss 2.7269 (2.7408)	Prec@1 35.156 (34.591)	Prec@5 60.938 (64.977)
Epoch: [28][8660/14090]	Time 0.731 (0.751)	Data 0.001 (0.001)	Loss 2.8317 (2.7409)	Prec@1 33.594 (34.589)	Prec@5 64.062 (64.974)
Epoch: [28][8670/14090]	Time 0.728 (0.751)	Data 0.001 (0.001)	Loss 2.6171 (2.7410)	Prec@1 37.500 (34.590)	Prec@5 67.188 (64.972)
Epoch: [28][8680/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 2.7597 (2.7410)	Prec@1 38.281 (34.590)	Prec@5 69.531 (64.974)
Epoch: [28][8690/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 2.9692 (2.7410)	Prec@1 30.469 (34.589)	Prec@5 62.500 (64.974)
Epoch: [28][8700/14090]	Time 0.727 (0.751)	Data 0.001 (0.001)	Loss 2.8408 (2.7410)	Prec@1 32.031 (34.590)	Prec@5 60.156 (64.974)
Epoch: [28][8710/14090]	Time 0.755 (0.751)	Data 0.002 (0.001)	Loss 2.7587 (2.7410)	Prec@1 32.812 (34.587)	Prec@5 66.406 (64.974)
Epoch: [28][8720/14090]	Time 0.729 (0.751)	Data 0.001 (0.001)	Loss 2.8787 (2.7410)	Prec@1 28.125 (34.586)	Prec@5 68.750 (64.977)
Epoch: [28][8730/14090]	Time 0.765 (0.751)	Data 0.001 (0.001)	Loss 3.0591 (2.7410)	Prec@1 32.812 (34.587)	Prec@5 62.500 (64.978)
Epoch: [28][8740/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 2.7891 (2.7410)	Prec@1 36.719 (34.586)	Prec@5 66.406 (64.976)
Epoch: [28][8750/14090]	Time 0.726 (0.751)	Data 0.001 (0.001)	Loss 2.6504 (2.7409)	Prec@1 35.938 (34.588)	Prec@5 64.844 (64.978)
Epoch: [28][8760/14090]	Time 0.764 (0.751)	Data 0.001 (0.001)	Loss 2.6366 (2.7409)	Prec@1 35.156 (34.588)	Prec@5 67.969 (64.978)
Epoch: [28][8770/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 2.9540 (2.7410)	Prec@1 29.688 (34.586)	Prec@5 60.938 (64.978)
Epoch: [28][8780/14090]	Time 0.740 (0.751)	Data 0.002 (0.001)	Loss 2.8697 (2.7410)	Prec@1 32.031 (34.586)	Prec@5 58.594 (64.977)
Epoch: [28][8790/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 2.7116 (2.7409)	Prec@1 35.938 (34.589)	Prec@5 64.062 (64.980)
Epoch: [28][8800/14090]	Time 0.740 (0.751)	Data 0.001 (0.001)	Loss 2.7581 (2.7410)	Prec@1 28.125 (34.586)	Prec@5 65.625 (64.978)
Epoch: [28][8810/14090]	Time 0.772 (0.751)	Data 0.001 (0.001)	Loss 2.4544 (2.7409)	Prec@1 35.156 (34.586)	Prec@5 64.062 (64.979)
Epoch: [28][8820/14090]	Time 0.727 (0.751)	Data 0.001 (0.001)	Loss 2.8758 (2.7410)	Prec@1 29.688 (34.585)	Prec@5 64.844 (64.979)
Epoch: [28][8830/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 2.7155 (2.7410)	Prec@1 38.281 (34.586)	Prec@5 64.844 (64.978)
Epoch: [28][8840/14090]	Time 0.737 (0.751)	Data 0.001 (0.001)	Loss 2.7463 (2.7410)	Prec@1 32.812 (34.586)	Prec@5 67.969 (64.980)
Epoch: [28][8850/14090]	Time 0.750 (0.751)	Data 0.002 (0.001)	Loss 2.9027 (2.7410)	Prec@1 35.938 (34.585)	Prec@5 66.406 (64.978)
Epoch: [28][8860/14090]	Time 0.806 (0.751)	Data 0.001 (0.001)	Loss 2.6355 (2.7410)	Prec@1 33.594 (34.584)	Prec@5 64.062 (64.979)
Epoch: [28][8870/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 2.8772 (2.7409)	Prec@1 35.156 (34.586)	Prec@5 65.625 (64.981)
Epoch: [28][8880/14090]	Time 0.731 (0.751)	Data 0.001 (0.001)	Loss 2.5384 (2.7410)	Prec@1 39.062 (34.583)	Prec@5 70.312 (64.979)
Epoch: [28][8890/14090]	Time 0.771 (0.751)	Data 0.001 (0.001)	Loss 2.4535 (2.7410)	Prec@1 41.406 (34.583)	Prec@5 71.094 (64.978)
Epoch: [28][8900/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.6275 (2.7409)	Prec@1 34.375 (34.583)	Prec@5 60.938 (64.977)
Epoch: [28][8910/14090]	Time 0.731 (0.751)	Data 0.001 (0.001)	Loss 2.7644 (2.7408)	Prec@1 39.062 (34.586)	Prec@5 64.844 (64.978)
Epoch: [28][8920/14090]	Time 0.757 (0.751)	Data 0.002 (0.001)	Loss 2.7174 (2.7408)	Prec@1 30.469 (34.585)	Prec@5 60.938 (64.977)
Epoch: [28][8930/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 2.6821 (2.7408)	Prec@1 35.156 (34.585)	Prec@5 64.062 (64.978)
Epoch: [28][8940/14090]	Time 0.776 (0.751)	Data 0.001 (0.001)	Loss 2.5271 (2.7408)	Prec@1 36.719 (34.584)	Prec@5 63.281 (64.977)
Epoch: [28][8950/14090]	Time 0.760 (0.751)	Data 0.001 (0.001)	Loss 2.6403 (2.7408)	Prec@1 39.844 (34.586)	Prec@5 64.844 (64.976)
Epoch: [28][8960/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 2.8610 (2.7408)	Prec@1 32.812 (34.586)	Prec@5 61.719 (64.975)
Epoch: [28][8970/14090]	Time 0.776 (0.751)	Data 0.001 (0.001)	Loss 2.7768 (2.7408)	Prec@1 35.938 (34.587)	Prec@5 64.062 (64.976)
Epoch: [28][8980/14090]	Time 0.728 (0.751)	Data 0.001 (0.001)	Loss 2.4066 (2.7408)	Prec@1 39.062 (34.588)	Prec@5 74.219 (64.978)
Epoch: [28][8990/14090]	Time 0.768 (0.751)	Data 0.002 (0.001)	Loss 2.7280 (2.7407)	Prec@1 35.156 (34.589)	Prec@5 64.062 (64.979)
Epoch: [28][9000/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 2.6081 (2.7407)	Prec@1 31.250 (34.586)	Prec@5 73.438 (64.979)
Epoch: [28][9010/14090]	Time 0.759 (0.751)	Data 0.001 (0.001)	Loss 2.6527 (2.7407)	Prec@1 35.156 (34.586)	Prec@5 61.719 (64.978)
Epoch: [28][9020/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 2.6733 (2.7407)	Prec@1 40.625 (34.586)	Prec@5 63.281 (64.979)
Epoch: [28][9030/14090]	Time 0.763 (0.751)	Data 0.001 (0.001)	Loss 2.7385 (2.7408)	Prec@1 39.844 (34.586)	Prec@5 66.406 (64.978)
Epoch: [28][9040/14090]	Time 0.770 (0.751)	Data 0.001 (0.001)	Loss 2.6540 (2.7408)	Prec@1 25.781 (34.585)	Prec@5 70.312 (64.978)
Epoch: [28][9050/14090]	Time 0.785 (0.751)	Data 0.001 (0.001)	Loss 2.6335 (2.7408)	Prec@1 33.594 (34.584)	Prec@5 66.406 (64.977)
Epoch: [28][9060/14090]	Time 0.756 (0.751)	Data 0.002 (0.001)	Loss 2.5153 (2.7407)	Prec@1 36.719 (34.587)	Prec@5 70.312 (64.981)
Epoch: [28][9070/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 2.7081 (2.7407)	Prec@1 36.719 (34.587)	Prec@5 69.531 (64.980)
Epoch: [28][9080/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 2.6864 (2.7408)	Prec@1 28.125 (34.585)	Prec@5 70.312 (64.978)
Epoch: [28][9090/14090]	Time 0.772 (0.751)	Data 0.001 (0.001)	Loss 3.0518 (2.7408)	Prec@1 31.250 (34.584)	Prec@5 60.938 (64.977)
Epoch: [28][9100/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 2.5108 (2.7408)	Prec@1 39.062 (34.584)	Prec@5 65.625 (64.979)
Epoch: [28][9110/14090]	Time 0.781 (0.751)	Data 0.002 (0.001)	Loss 2.5246 (2.7407)	Prec@1 40.625 (34.586)	Prec@5 71.094 (64.981)
Epoch: [28][9120/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 2.7971 (2.7408)	Prec@1 34.375 (34.584)	Prec@5 58.594 (64.980)
Epoch: [28][9130/14090]	Time 0.747 (0.751)	Data 0.002 (0.001)	Loss 2.6704 (2.7408)	Prec@1 36.719 (34.583)	Prec@5 64.062 (64.982)
Epoch: [28][9140/14090]	Time 0.772 (0.751)	Data 0.001 (0.001)	Loss 2.7774 (2.7407)	Prec@1 28.906 (34.584)	Prec@5 64.844 (64.984)
Epoch: [28][9150/14090]	Time 0.741 (0.751)	Data 0.001 (0.001)	Loss 2.8627 (2.7407)	Prec@1 32.031 (34.584)	Prec@5 58.594 (64.984)
Epoch: [28][9160/14090]	Time 0.774 (0.751)	Data 0.001 (0.001)	Loss 2.6629 (2.7407)	Prec@1 42.969 (34.588)	Prec@5 65.625 (64.984)
Epoch: [28][9170/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 2.4287 (2.7406)	Prec@1 38.281 (34.590)	Prec@5 71.094 (64.986)
Epoch: [28][9180/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 2.9443 (2.7407)	Prec@1 33.594 (34.591)	Prec@5 62.500 (64.984)
Epoch: [28][9190/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 2.8741 (2.7407)	Prec@1 32.031 (34.587)	Prec@5 65.625 (64.984)
Epoch: [28][9200/14090]	Time 0.777 (0.751)	Data 0.002 (0.001)	Loss 2.5291 (2.7407)	Prec@1 40.625 (34.590)	Prec@5 71.875 (64.984)
Epoch: [28][9210/14090]	Time 0.782 (0.751)	Data 0.001 (0.001)	Loss 2.9608 (2.7406)	Prec@1 28.906 (34.590)	Prec@5 61.719 (64.984)
Epoch: [28][9220/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 3.0377 (2.7407)	Prec@1 26.562 (34.591)	Prec@5 60.156 (64.983)
Epoch: [28][9230/14090]	Time 0.759 (0.751)	Data 0.001 (0.001)	Loss 2.8446 (2.7406)	Prec@1 31.250 (34.592)	Prec@5 63.281 (64.984)
Epoch: [28][9240/14090]	Time 0.774 (0.751)	Data 0.001 (0.001)	Loss 2.6982 (2.7406)	Prec@1 33.594 (34.590)	Prec@5 63.281 (64.985)
Epoch: [28][9250/14090]	Time 0.725 (0.751)	Data 0.001 (0.001)	Loss 2.9317 (2.7406)	Prec@1 33.594 (34.590)	Prec@5 60.938 (64.984)
Epoch: [28][9260/14090]	Time 0.761 (0.751)	Data 0.001 (0.001)	Loss 2.9298 (2.7406)	Prec@1 33.594 (34.591)	Prec@5 59.375 (64.984)
Epoch: [28][9270/14090]	Time 0.731 (0.751)	Data 0.002 (0.001)	Loss 2.8941 (2.7406)	Prec@1 35.938 (34.593)	Prec@5 62.500 (64.984)
Epoch: [28][9280/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 2.9580 (2.7407)	Prec@1 32.031 (34.591)	Prec@5 57.812 (64.983)
Epoch: [28][9290/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 2.7861 (2.7407)	Prec@1 38.281 (34.591)	Prec@5 60.156 (64.982)
Epoch: [28][9300/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 2.6753 (2.7407)	Prec@1 35.156 (34.591)	Prec@5 66.406 (64.982)
Epoch: [28][9310/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 2.9097 (2.7407)	Prec@1 28.906 (34.590)	Prec@5 61.719 (64.982)
Epoch: [28][9320/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.6182 (2.7406)	Prec@1 32.812 (34.591)	Prec@5 67.969 (64.983)
Epoch: [28][9330/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 2.6398 (2.7406)	Prec@1 34.375 (34.590)	Prec@5 65.625 (64.982)
Epoch: [28][9340/14090]	Time 0.738 (0.751)	Data 0.002 (0.001)	Loss 2.6491 (2.7405)	Prec@1 37.500 (34.592)	Prec@5 65.625 (64.985)
Epoch: [28][9350/14090]	Time 0.770 (0.751)	Data 0.001 (0.001)	Loss 2.8743 (2.7405)	Prec@1 30.469 (34.593)	Prec@5 60.938 (64.985)
Epoch: [28][9360/14090]	Time 0.757 (0.751)	Data 0.001 (0.001)	Loss 2.7017 (2.7405)	Prec@1 32.812 (34.594)	Prec@5 64.062 (64.986)
Epoch: [28][9370/14090]	Time 0.734 (0.751)	Data 0.001 (0.001)	Loss 2.5145 (2.7404)	Prec@1 35.156 (34.594)	Prec@5 64.844 (64.986)
Epoch: [28][9380/14090]	Time 0.775 (0.751)	Data 0.001 (0.001)	Loss 2.8023 (2.7404)	Prec@1 34.375 (34.593)	Prec@5 67.188 (64.987)
Epoch: [28][9390/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 2.5804 (2.7403)	Prec@1 35.938 (34.594)	Prec@5 66.406 (64.988)
Epoch: [28][9400/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 2.7557 (2.7402)	Prec@1 32.031 (34.596)	Prec@5 64.062 (64.989)
Epoch: [28][9410/14090]	Time 0.758 (0.751)	Data 0.003 (0.001)	Loss 2.8946 (2.7402)	Prec@1 32.031 (34.597)	Prec@5 63.281 (64.988)
Epoch: [28][9420/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 2.5672 (2.7402)	Prec@1 35.156 (34.599)	Prec@5 71.094 (64.990)
Epoch: [28][9430/14090]	Time 0.741 (0.751)	Data 0.001 (0.001)	Loss 2.7366 (2.7402)	Prec@1 32.031 (34.598)	Prec@5 70.312 (64.990)
Epoch: [28][9440/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 2.8483 (2.7403)	Prec@1 36.719 (34.600)	Prec@5 60.938 (64.990)
Epoch: [28][9450/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 2.6953 (2.7404)	Prec@1 32.812 (34.597)	Prec@5 64.844 (64.986)
Epoch: [28][9460/14090]	Time 0.729 (0.751)	Data 0.001 (0.001)	Loss 2.5879 (2.7404)	Prec@1 32.031 (34.596)	Prec@5 70.312 (64.988)
Epoch: [28][9470/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 2.5343 (2.7404)	Prec@1 39.062 (34.598)	Prec@5 70.312 (64.990)
Epoch: [28][9480/14090]	Time 0.759 (0.751)	Data 0.002 (0.001)	Loss 2.7696 (2.7404)	Prec@1 38.281 (34.598)	Prec@5 66.406 (64.991)
Epoch: [28][9490/14090]	Time 0.762 (0.751)	Data 0.001 (0.001)	Loss 2.6396 (2.7404)	Prec@1 38.281 (34.597)	Prec@5 62.500 (64.990)
Epoch: [28][9500/14090]	Time 0.726 (0.751)	Data 0.001 (0.001)	Loss 2.7718 (2.7405)	Prec@1 35.156 (34.597)	Prec@5 68.750 (64.991)
Epoch: [28][9510/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 2.6043 (2.7405)	Prec@1 33.594 (34.595)	Prec@5 69.531 (64.992)
Epoch: [28][9520/14090]	Time 0.743 (0.751)	Data 0.001 (0.001)	Loss 2.7365 (2.7404)	Prec@1 34.375 (34.599)	Prec@5 65.625 (64.995)
Epoch: [28][9530/14090]	Time 0.774 (0.751)	Data 0.001 (0.001)	Loss 2.7736 (2.7404)	Prec@1 34.375 (34.600)	Prec@5 62.500 (64.995)
Epoch: [28][9540/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 2.6006 (2.7404)	Prec@1 41.406 (34.598)	Prec@5 65.625 (64.995)
Epoch: [28][9550/14090]	Time 0.731 (0.751)	Data 0.005 (0.001)	Loss 2.7842 (2.7405)	Prec@1 32.031 (34.596)	Prec@5 61.719 (64.992)
Epoch: [28][9560/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 2.7383 (2.7406)	Prec@1 33.594 (34.595)	Prec@5 64.844 (64.993)
Epoch: [28][9570/14090]	Time 0.719 (0.751)	Data 0.001 (0.001)	Loss 2.6645 (2.7406)	Prec@1 31.250 (34.594)	Prec@5 67.969 (64.992)
Epoch: [28][9580/14090]	Time 0.769 (0.751)	Data 0.001 (0.001)	Loss 2.9580 (2.7406)	Prec@1 36.719 (34.595)	Prec@5 61.719 (64.992)
Epoch: [28][9590/14090]	Time 0.759 (0.751)	Data 0.001 (0.001)	Loss 2.7384 (2.7406)	Prec@1 39.062 (34.594)	Prec@5 64.062 (64.992)
Epoch: [28][9600/14090]	Time 0.737 (0.751)	Data 0.001 (0.001)	Loss 2.5230 (2.7406)	Prec@1 35.938 (34.591)	Prec@5 71.875 (64.992)
Epoch: [28][9610/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 2.8787 (2.7406)	Prec@1 38.281 (34.592)	Prec@5 63.281 (64.994)
Epoch: [28][9620/14090]	Time 0.741 (0.751)	Data 0.002 (0.001)	Loss 2.9649 (2.7406)	Prec@1 35.156 (34.591)	Prec@5 60.938 (64.992)
Epoch: [28][9630/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.6081 (2.7407)	Prec@1 34.375 (34.590)	Prec@5 62.500 (64.989)
Epoch: [28][9640/14090]	Time 0.757 (0.751)	Data 0.001 (0.001)	Loss 2.6672 (2.7406)	Prec@1 30.469 (34.590)	Prec@5 67.969 (64.992)
Epoch: [28][9650/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 2.7043 (2.7406)	Prec@1 35.156 (34.590)	Prec@5 64.062 (64.993)
Epoch: [28][9660/14090]	Time 0.734 (0.751)	Data 0.001 (0.001)	Loss 2.9247 (2.7407)	Prec@1 26.562 (34.588)	Prec@5 64.844 (64.992)
Epoch: [28][9670/14090]	Time 0.740 (0.751)	Data 0.001 (0.001)	Loss 2.8997 (2.7408)	Prec@1 24.219 (34.586)	Prec@5 60.938 (64.990)
Epoch: [28][9680/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 3.0708 (2.7409)	Prec@1 32.031 (34.584)	Prec@5 57.812 (64.988)
Epoch: [28][9690/14090]	Time 0.735 (0.751)	Data 0.002 (0.001)	Loss 2.9062 (2.7409)	Prec@1 29.688 (34.583)	Prec@5 63.281 (64.989)
Epoch: [28][9700/14090]	Time 0.771 (0.751)	Data 0.001 (0.001)	Loss 2.5578 (2.7408)	Prec@1 35.156 (34.583)	Prec@5 71.875 (64.990)
Epoch: [28][9710/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 2.4342 (2.7409)	Prec@1 39.844 (34.581)	Prec@5 71.875 (64.990)
Epoch: [28][9720/14090]	Time 0.739 (0.751)	Data 0.001 (0.001)	Loss 2.7393 (2.7409)	Prec@1 36.719 (34.579)	Prec@5 62.500 (64.988)
Epoch: [28][9730/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.5871 (2.7410)	Prec@1 39.062 (34.577)	Prec@5 66.406 (64.986)
Epoch: [28][9740/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 2.7099 (2.7410)	Prec@1 32.812 (34.576)	Prec@5 66.406 (64.986)
Epoch: [28][9750/14090]	Time 0.770 (0.751)	Data 0.001 (0.001)	Loss 2.7736 (2.7410)	Prec@1 36.719 (34.576)	Prec@5 67.969 (64.986)
Epoch: [28][9760/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 2.6226 (2.7411)	Prec@1 33.594 (34.575)	Prec@5 72.656 (64.986)
Epoch: [28][9770/14090]	Time 0.778 (0.751)	Data 0.001 (0.001)	Loss 2.7250 (2.7411)	Prec@1 37.500 (34.574)	Prec@5 66.406 (64.985)
Epoch: [28][9780/14090]	Time 0.739 (0.751)	Data 0.001 (0.001)	Loss 2.6176 (2.7411)	Prec@1 30.469 (34.572)	Prec@5 67.188 (64.985)
Epoch: [28][9790/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 2.6116 (2.7412)	Prec@1 40.625 (34.571)	Prec@5 68.750 (64.985)
Epoch: [28][9800/14090]	Time 0.731 (0.751)	Data 0.001 (0.001)	Loss 2.8843 (2.7412)	Prec@1 32.031 (34.570)	Prec@5 63.281 (64.984)
Epoch: [28][9810/14090]	Time 0.724 (0.751)	Data 0.001 (0.001)	Loss 2.8863 (2.7412)	Prec@1 33.594 (34.569)	Prec@5 62.500 (64.984)
Epoch: [28][9820/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.9548 (2.7413)	Prec@1 28.906 (34.570)	Prec@5 64.844 (64.983)
Epoch: [28][9830/14090]	Time 0.731 (0.751)	Data 0.002 (0.001)	Loss 2.5289 (2.7412)	Prec@1 40.625 (34.571)	Prec@5 71.875 (64.986)
Epoch: [28][9840/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 2.7057 (2.7411)	Prec@1 39.844 (34.572)	Prec@5 64.844 (64.986)
Epoch: [28][9850/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 2.5222 (2.7412)	Prec@1 38.281 (34.571)	Prec@5 67.969 (64.986)
Epoch: [28][9860/14090]	Time 0.731 (0.751)	Data 0.001 (0.001)	Loss 2.8825 (2.7411)	Prec@1 37.500 (34.573)	Prec@5 57.031 (64.986)
Epoch: [28][9870/14090]	Time 0.730 (0.751)	Data 0.001 (0.001)	Loss 2.9371 (2.7411)	Prec@1 30.469 (34.572)	Prec@5 61.719 (64.986)
Epoch: [28][9880/14090]	Time 0.765 (0.751)	Data 0.001 (0.001)	Loss 2.6081 (2.7410)	Prec@1 37.500 (34.574)	Prec@5 71.875 (64.989)
Epoch: [28][9890/14090]	Time 0.731 (0.751)	Data 0.001 (0.001)	Loss 2.7887 (2.7410)	Prec@1 36.719 (34.575)	Prec@5 60.938 (64.989)
Epoch: [28][9900/14090]	Time 0.757 (0.751)	Data 0.002 (0.001)	Loss 2.7032 (2.7411)	Prec@1 30.469 (34.572)	Prec@5 66.406 (64.988)
Epoch: [28][9910/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 2.8123 (2.7411)	Prec@1 35.938 (34.572)	Prec@5 60.156 (64.987)
Epoch: [28][9920/14090]	Time 0.722 (0.751)	Data 0.001 (0.001)	Loss 2.9699 (2.7411)	Prec@1 31.250 (34.574)	Prec@5 60.938 (64.987)
Epoch: [28][9930/14090]	Time 0.770 (0.751)	Data 0.001 (0.001)	Loss 2.4436 (2.7410)	Prec@1 36.719 (34.574)	Prec@5 73.438 (64.989)
Epoch: [28][9940/14090]	Time 0.771 (0.751)	Data 0.001 (0.001)	Loss 2.9614 (2.7411)	Prec@1 29.688 (34.572)	Prec@5 60.938 (64.987)
Epoch: [28][9950/14090]	Time 0.731 (0.751)	Data 0.001 (0.001)	Loss 3.0440 (2.7411)	Prec@1 25.781 (34.572)	Prec@5 61.719 (64.988)
Epoch: [28][9960/14090]	Time 0.777 (0.751)	Data 0.001 (0.001)	Loss 2.8923 (2.7411)	Prec@1 32.031 (34.570)	Prec@5 62.500 (64.987)
Epoch: [28][9970/14090]	Time 0.729 (0.751)	Data 0.001 (0.001)	Loss 2.5573 (2.7410)	Prec@1 39.062 (34.570)	Prec@5 67.188 (64.987)
Epoch: [28][9980/14090]	Time 0.774 (0.751)	Data 0.001 (0.001)	Loss 2.6642 (2.7411)	Prec@1 30.469 (34.568)	Prec@5 67.188 (64.986)
Epoch: [28][9990/14090]	Time 0.726 (0.751)	Data 0.001 (0.001)	Loss 2.5912 (2.7411)	Prec@1 35.938 (34.569)	Prec@5 69.531 (64.986)
Epoch: [28][10000/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 2.6919 (2.7411)	Prec@1 35.156 (34.569)	Prec@5 58.594 (64.984)
Epoch: [28][10010/14090]	Time 0.762 (0.751)	Data 0.001 (0.001)	Loss 2.7858 (2.7411)	Prec@1 32.812 (34.568)	Prec@5 64.844 (64.984)
Epoch: [28][10020/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.5012 (2.7411)	Prec@1 41.406 (34.566)	Prec@5 67.969 (64.984)
Epoch: [28][10030/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 2.6698 (2.7411)	Prec@1 32.812 (34.567)	Prec@5 67.969 (64.986)
Epoch: [28][10040/14090]	Time 0.750 (0.751)	Data 0.002 (0.001)	Loss 2.9256 (2.7411)	Prec@1 28.125 (34.565)	Prec@5 56.250 (64.985)
Epoch: [28][10050/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 2.6194 (2.7412)	Prec@1 35.156 (34.564)	Prec@5 69.531 (64.985)
Epoch: [28][10060/14090]	Time 0.774 (0.751)	Data 0.001 (0.001)	Loss 2.4982 (2.7411)	Prec@1 35.938 (34.565)	Prec@5 73.438 (64.987)
Epoch: [28][10070/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 2.5416 (2.7411)	Prec@1 37.500 (34.566)	Prec@5 67.188 (64.988)
Epoch: [28][10080/14090]	Time 0.774 (0.751)	Data 0.001 (0.001)	Loss 2.6111 (2.7410)	Prec@1 37.500 (34.567)	Prec@5 66.406 (64.988)
Epoch: [28][10090/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 2.8110 (2.7411)	Prec@1 37.500 (34.567)	Prec@5 59.375 (64.985)
Epoch: [28][10100/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 2.6177 (2.7411)	Prec@1 35.938 (34.568)	Prec@5 67.969 (64.986)
Epoch: [28][10110/14090]	Time 0.759 (0.751)	Data 0.002 (0.001)	Loss 2.5781 (2.7410)	Prec@1 39.062 (34.567)	Prec@5 70.312 (64.986)
Epoch: [28][10120/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 2.6554 (2.7410)	Prec@1 33.594 (34.567)	Prec@5 67.188 (64.985)
Epoch: [28][10130/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 2.5443 (2.7409)	Prec@1 42.969 (34.570)	Prec@5 68.750 (64.988)
Epoch: [28][10140/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 2.5383 (2.7409)	Prec@1 37.500 (34.569)	Prec@5 67.969 (64.985)
Epoch: [28][10150/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 2.9106 (2.7410)	Prec@1 31.250 (34.569)	Prec@5 58.594 (64.984)
Epoch: [28][10160/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 2.6795 (2.7410)	Prec@1 37.500 (34.570)	Prec@5 64.062 (64.983)
Epoch: [28][10170/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.6728 (2.7410)	Prec@1 36.719 (34.570)	Prec@5 69.531 (64.984)
Epoch: [28][10180/14090]	Time 0.743 (0.751)	Data 0.002 (0.001)	Loss 2.7144 (2.7410)	Prec@1 36.719 (34.570)	Prec@5 62.500 (64.984)
Epoch: [28][10190/14090]	Time 0.728 (0.751)	Data 0.001 (0.001)	Loss 2.4542 (2.7410)	Prec@1 39.062 (34.570)	Prec@5 71.875 (64.984)
Epoch: [28][10200/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 2.6851 (2.7409)	Prec@1 32.031 (34.571)	Prec@5 64.062 (64.986)
Epoch: [28][10210/14090]	Time 0.781 (0.751)	Data 0.002 (0.001)	Loss 3.1702 (2.7409)	Prec@1 28.125 (34.571)	Prec@5 58.594 (64.986)
Epoch: [28][10220/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 2.9910 (2.7409)	Prec@1 27.344 (34.571)	Prec@5 57.812 (64.987)
Epoch: [28][10230/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 2.7809 (2.7409)	Prec@1 34.375 (34.570)	Prec@5 65.625 (64.988)
Epoch: [28][10240/14090]	Time 0.729 (0.751)	Data 0.001 (0.001)	Loss 2.7658 (2.7410)	Prec@1 39.844 (34.571)	Prec@5 60.938 (64.985)
Epoch: [28][10250/14090]	Time 0.736 (0.751)	Data 0.002 (0.001)	Loss 2.8453 (2.7410)	Prec@1 35.938 (34.571)	Prec@5 64.844 (64.985)
Epoch: [28][10260/14090]	Time 0.764 (0.751)	Data 0.001 (0.001)	Loss 2.4631 (2.7410)	Prec@1 37.500 (34.569)	Prec@5 71.094 (64.985)
Epoch: [28][10270/14090]	Time 0.725 (0.751)	Data 0.001 (0.001)	Loss 3.1303 (2.7410)	Prec@1 34.375 (34.570)	Prec@5 58.594 (64.985)
Epoch: [28][10280/14090]	Time 0.766 (0.751)	Data 0.001 (0.001)	Loss 2.5846 (2.7410)	Prec@1 32.812 (34.569)	Prec@5 68.750 (64.986)
Epoch: [28][10290/14090]	Time 0.730 (0.751)	Data 0.001 (0.001)	Loss 2.5247 (2.7411)	Prec@1 38.281 (34.567)	Prec@5 64.062 (64.984)
Epoch: [28][10300/14090]	Time 0.766 (0.751)	Data 0.001 (0.001)	Loss 2.7541 (2.7410)	Prec@1 33.594 (34.568)	Prec@5 63.281 (64.982)
Epoch: [28][10310/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 2.3999 (2.7410)	Prec@1 38.281 (34.568)	Prec@5 71.094 (64.982)
Epoch: [28][10320/14090]	Time 0.754 (0.751)	Data 0.002 (0.001)	Loss 2.6467 (2.7410)	Prec@1 36.719 (34.568)	Prec@5 64.062 (64.980)
Epoch: [28][10330/14090]	Time 0.772 (0.751)	Data 0.001 (0.001)	Loss 2.5134 (2.7410)	Prec@1 38.281 (34.569)	Prec@5 70.312 (64.982)
Epoch: [28][10340/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 2.8603 (2.7411)	Prec@1 29.688 (34.566)	Prec@5 62.500 (64.980)
Epoch: [28][10350/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 2.9214 (2.7410)	Prec@1 29.688 (34.567)	Prec@5 64.062 (64.981)
Epoch: [28][10360/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 2.9821 (2.7411)	Prec@1 34.375 (34.566)	Prec@5 60.156 (64.979)
Epoch: [28][10370/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 3.2087 (2.7412)	Prec@1 27.344 (34.565)	Prec@5 52.344 (64.976)
Epoch: [28][10380/14090]	Time 0.765 (0.751)	Data 0.001 (0.001)	Loss 2.8684 (2.7412)	Prec@1 35.938 (34.565)	Prec@5 60.156 (64.975)
Epoch: [28][10390/14090]	Time 0.752 (0.751)	Data 0.002 (0.001)	Loss 2.8449 (2.7413)	Prec@1 32.812 (34.565)	Prec@5 64.062 (64.975)
Epoch: [28][10400/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 2.9553 (2.7414)	Prec@1 37.500 (34.563)	Prec@5 61.719 (64.973)
Epoch: [28][10410/14090]	Time 0.794 (0.751)	Data 0.001 (0.001)	Loss 2.8204 (2.7414)	Prec@1 34.375 (34.565)	Prec@5 64.062 (64.972)
Epoch: [28][10420/14090]	Time 0.765 (0.751)	Data 0.001 (0.001)	Loss 2.5270 (2.7415)	Prec@1 39.062 (34.563)	Prec@5 67.969 (64.971)
Epoch: [28][10430/14090]	Time 0.730 (0.751)	Data 0.001 (0.001)	Loss 3.0225 (2.7415)	Prec@1 21.875 (34.562)	Prec@5 60.938 (64.971)
Epoch: [28][10440/14090]	Time 0.779 (0.751)	Data 0.001 (0.001)	Loss 2.6660 (2.7414)	Prec@1 42.969 (34.563)	Prec@5 63.281 (64.971)
Epoch: [28][10450/14090]	Time 0.723 (0.751)	Data 0.001 (0.001)	Loss 2.4158 (2.7415)	Prec@1 42.969 (34.562)	Prec@5 70.312 (64.970)
Epoch: [28][10460/14090]	Time 0.751 (0.751)	Data 0.002 (0.001)	Loss 2.4632 (2.7414)	Prec@1 39.844 (34.561)	Prec@5 73.438 (64.972)
Epoch: [28][10470/14090]	Time 0.773 (0.751)	Data 0.001 (0.001)	Loss 2.6315 (2.7414)	Prec@1 37.500 (34.561)	Prec@5 67.969 (64.971)
Epoch: [28][10480/14090]	Time 0.742 (0.751)	Data 0.001 (0.001)	Loss 2.6746 (2.7415)	Prec@1 36.719 (34.561)	Prec@5 66.406 (64.970)
Epoch: [28][10490/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 2.9490 (2.7414)	Prec@1 31.250 (34.561)	Prec@5 58.594 (64.970)
Epoch: [28][10500/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 2.9866 (2.7415)	Prec@1 30.469 (34.559)	Prec@5 63.281 (64.968)
Epoch: [28][10510/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 2.6402 (2.7415)	Prec@1 33.594 (34.560)	Prec@5 64.844 (64.969)
Epoch: [28][10520/14090]	Time 0.740 (0.751)	Data 0.001 (0.001)	Loss 2.4201 (2.7415)	Prec@1 41.406 (34.560)	Prec@5 69.531 (64.968)
Epoch: [28][10530/14090]	Time 0.756 (0.751)	Data 0.002 (0.001)	Loss 2.6238 (2.7414)	Prec@1 32.031 (34.560)	Prec@5 67.188 (64.969)
Epoch: [28][10540/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 2.0063 (2.7413)	Prec@1 47.656 (34.563)	Prec@5 76.562 (64.971)
Epoch: [28][10550/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 3.0286 (2.7414)	Prec@1 32.031 (34.562)	Prec@5 64.844 (64.968)
Epoch: [28][10560/14090]	Time 0.740 (0.751)	Data 0.001 (0.001)	Loss 3.0067 (2.7415)	Prec@1 28.125 (34.560)	Prec@5 60.938 (64.967)
Epoch: [28][10570/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 2.9337 (2.7415)	Prec@1 33.594 (34.559)	Prec@5 60.156 (64.967)
Epoch: [28][10580/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 2.7517 (2.7415)	Prec@1 36.719 (34.559)	Prec@5 65.625 (64.968)
Epoch: [28][10590/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 2.8127 (2.7415)	Prec@1 35.938 (34.561)	Prec@5 66.406 (64.969)
Epoch: [28][10600/14090]	Time 0.739 (0.751)	Data 0.002 (0.001)	Loss 3.0561 (2.7415)	Prec@1 32.812 (34.562)	Prec@5 60.938 (64.968)
Epoch: [28][10610/14090]	Time 0.776 (0.751)	Data 0.001 (0.001)	Loss 2.9715 (2.7414)	Prec@1 33.594 (34.564)	Prec@5 59.375 (64.971)
Epoch: [28][10620/14090]	Time 0.740 (0.751)	Data 0.001 (0.001)	Loss 2.8489 (2.7415)	Prec@1 28.125 (34.561)	Prec@5 65.625 (64.969)
Epoch: [28][10630/14090]	Time 0.778 (0.751)	Data 0.001 (0.001)	Loss 3.0946 (2.7415)	Prec@1 28.906 (34.562)	Prec@5 57.812 (64.968)
Epoch: [28][10640/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 2.8768 (2.7415)	Prec@1 32.812 (34.561)	Prec@5 65.625 (64.968)
Epoch: [28][10650/14090]	Time 0.737 (0.751)	Data 0.001 (0.001)	Loss 2.6073 (2.7414)	Prec@1 37.500 (34.562)	Prec@5 63.281 (64.969)
Epoch: [28][10660/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 2.8715 (2.7415)	Prec@1 31.250 (34.560)	Prec@5 61.719 (64.968)
Epoch: [28][10670/14090]	Time 0.747 (0.751)	Data 0.002 (0.001)	Loss 2.7940 (2.7414)	Prec@1 34.375 (34.561)	Prec@5 67.188 (64.970)
Epoch: [28][10680/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 2.7538 (2.7415)	Prec@1 32.812 (34.560)	Prec@5 64.062 (64.969)
Epoch: [28][10690/14090]	Time 0.794 (0.751)	Data 0.001 (0.001)	Loss 2.7907 (2.7415)	Prec@1 36.719 (34.559)	Prec@5 63.281 (64.969)
Epoch: [28][10700/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 2.6359 (2.7416)	Prec@1 34.375 (34.559)	Prec@5 69.531 (64.968)
Epoch: [28][10710/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 2.7147 (2.7416)	Prec@1 29.688 (34.558)	Prec@5 65.625 (64.967)
Epoch: [28][10720/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 2.9340 (2.7416)	Prec@1 25.000 (34.558)	Prec@5 63.281 (64.966)
Epoch: [28][10730/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 2.3598 (2.7416)	Prec@1 42.969 (34.558)	Prec@5 71.094 (64.965)
Epoch: [28][10740/14090]	Time 0.735 (0.751)	Data 0.002 (0.001)	Loss 2.7504 (2.7416)	Prec@1 34.375 (34.559)	Prec@5 65.625 (64.966)
Epoch: [28][10750/14090]	Time 0.774 (0.751)	Data 0.001 (0.001)	Loss 2.6975 (2.7416)	Prec@1 35.156 (34.559)	Prec@5 67.188 (64.965)
Epoch: [28][10760/14090]	Time 0.742 (0.751)	Data 0.001 (0.001)	Loss 3.1481 (2.7416)	Prec@1 28.906 (34.559)	Prec@5 60.938 (64.965)
Epoch: [28][10770/14090]	Time 0.783 (0.751)	Data 0.001 (0.001)	Loss 3.0382 (2.7416)	Prec@1 28.125 (34.559)	Prec@5 67.188 (64.963)
Epoch: [28][10780/14090]	Time 0.727 (0.751)	Data 0.001 (0.001)	Loss 2.8768 (2.7417)	Prec@1 31.250 (34.558)	Prec@5 59.375 (64.962)
Epoch: [28][10790/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 2.6723 (2.7416)	Prec@1 35.156 (34.559)	Prec@5 64.062 (64.961)
Epoch: [28][10800/14090]	Time 0.771 (0.751)	Data 0.001 (0.001)	Loss 2.6564 (2.7416)	Prec@1 39.844 (34.559)	Prec@5 67.188 (64.961)
Epoch: [28][10810/14090]	Time 0.739 (0.751)	Data 0.002 (0.001)	Loss 2.8178 (2.7416)	Prec@1 38.281 (34.559)	Prec@5 68.750 (64.962)
Epoch: [28][10820/14090]	Time 0.727 (0.751)	Data 0.001 (0.001)	Loss 2.7437 (2.7416)	Prec@1 34.375 (34.558)	Prec@5 64.062 (64.962)
Epoch: [28][10830/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.7987 (2.7417)	Prec@1 28.906 (34.556)	Prec@5 64.844 (64.962)
Epoch: [28][10840/14090]	Time 0.733 (0.751)	Data 0.001 (0.001)	Loss 2.6960 (2.7417)	Prec@1 37.500 (34.556)	Prec@5 64.844 (64.961)
Epoch: [28][10850/14090]	Time 0.775 (0.751)	Data 0.001 (0.001)	Loss 2.6384 (2.7416)	Prec@1 33.594 (34.556)	Prec@5 66.406 (64.962)
Epoch: [28][10860/14090]	Time 0.737 (0.751)	Data 0.001 (0.001)	Loss 2.6664 (2.7415)	Prec@1 39.062 (34.558)	Prec@5 67.188 (64.963)
Epoch: [28][10870/14090]	Time 0.772 (0.751)	Data 0.002 (0.001)	Loss 2.9017 (2.7415)	Prec@1 31.250 (34.559)	Prec@5 62.500 (64.963)
Epoch: [28][10880/14090]	Time 0.733 (0.751)	Data 0.002 (0.001)	Loss 2.5397 (2.7414)	Prec@1 36.719 (34.561)	Prec@5 72.656 (64.964)
Epoch: [28][10890/14090]	Time 0.730 (0.751)	Data 0.001 (0.001)	Loss 2.3725 (2.7414)	Prec@1 42.188 (34.562)	Prec@5 72.656 (64.966)
Epoch: [28][10900/14090]	Time 0.767 (0.751)	Data 0.001 (0.001)	Loss 2.8189 (2.7413)	Prec@1 34.375 (34.562)	Prec@5 60.938 (64.966)
Epoch: [28][10910/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 2.7417 (2.7413)	Prec@1 37.500 (34.562)	Prec@5 66.406 (64.967)
Epoch: [28][10920/14090]	Time 0.765 (0.751)	Data 0.001 (0.001)	Loss 2.6757 (2.7413)	Prec@1 33.594 (34.562)	Prec@5 62.500 (64.966)
Epoch: [28][10930/14090]	Time 0.725 (0.751)	Data 0.001 (0.001)	Loss 2.6783 (2.7414)	Prec@1 37.500 (34.561)	Prec@5 59.375 (64.963)
Epoch: [28][10940/14090]	Time 0.733 (0.751)	Data 0.001 (0.001)	Loss 2.8045 (2.7415)	Prec@1 32.031 (34.562)	Prec@5 60.156 (64.962)
Epoch: [28][10950/14090]	Time 0.729 (0.751)	Data 0.002 (0.001)	Loss 3.0300 (2.7415)	Prec@1 31.250 (34.563)	Prec@5 60.156 (64.961)
Epoch: [28][10960/14090]	Time 0.757 (0.751)	Data 0.001 (0.001)	Loss 2.6975 (2.7415)	Prec@1 35.938 (34.562)	Prec@5 60.938 (64.960)
Epoch: [28][10970/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 2.6641 (2.7416)	Prec@1 38.281 (34.562)	Prec@5 67.969 (64.959)
Epoch: [28][10980/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 2.5590 (2.7415)	Prec@1 40.625 (34.562)	Prec@5 67.969 (64.960)
Epoch: [28][10990/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 2.6982 (2.7415)	Prec@1 34.375 (34.562)	Prec@5 64.062 (64.961)
Epoch: [28][11000/14090]	Time 0.728 (0.751)	Data 0.001 (0.001)	Loss 2.6081 (2.7416)	Prec@1 38.281 (34.562)	Prec@5 64.844 (64.960)
Epoch: [28][11010/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 2.9225 (2.7416)	Prec@1 34.375 (34.562)	Prec@5 62.500 (64.960)
Epoch: [28][11020/14090]	Time 0.760 (0.751)	Data 0.001 (0.001)	Loss 2.7646 (2.7416)	Prec@1 32.812 (34.561)	Prec@5 67.969 (64.959)
Epoch: [28][11030/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 2.6806 (2.7416)	Prec@1 39.844 (34.561)	Prec@5 62.500 (64.958)
Epoch: [28][11040/14090]	Time 0.726 (0.751)	Data 0.001 (0.001)	Loss 2.5803 (2.7416)	Prec@1 36.719 (34.559)	Prec@5 66.406 (64.957)
Epoch: [28][11050/14090]	Time 0.740 (0.751)	Data 0.001 (0.001)	Loss 2.5513 (2.7416)	Prec@1 42.969 (34.560)	Prec@5 68.750 (64.958)
Epoch: [28][11060/14090]	Time 0.724 (0.751)	Data 0.001 (0.001)	Loss 2.7671 (2.7416)	Prec@1 32.031 (34.562)	Prec@5 67.188 (64.959)
Epoch: [28][11070/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 2.4181 (2.7415)	Prec@1 39.844 (34.562)	Prec@5 73.438 (64.962)
Epoch: [28][11080/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 2.6266 (2.7415)	Prec@1 36.719 (34.563)	Prec@5 63.281 (64.962)
Epoch: [28][11090/14090]	Time 0.778 (0.751)	Data 0.002 (0.001)	Loss 2.7973 (2.7415)	Prec@1 32.031 (34.562)	Prec@5 59.375 (64.961)
Epoch: [28][11100/14090]	Time 0.733 (0.751)	Data 0.001 (0.001)	Loss 2.9816 (2.7415)	Prec@1 33.594 (34.561)	Prec@5 57.812 (64.961)
Epoch: [28][11110/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 2.5566 (2.7415)	Prec@1 42.188 (34.563)	Prec@5 69.531 (64.961)
Epoch: [28][11120/14090]	Time 0.725 (0.751)	Data 0.001 (0.001)	Loss 2.6534 (2.7415)	Prec@1 35.156 (34.563)	Prec@5 67.969 (64.963)
Epoch: [28][11130/14090]	Time 0.729 (0.751)	Data 0.001 (0.001)	Loss 2.6656 (2.7414)	Prec@1 33.594 (34.563)	Prec@5 65.625 (64.964)
Epoch: [28][11140/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 2.7856 (2.7415)	Prec@1 33.594 (34.564)	Prec@5 64.062 (64.964)
Epoch: [28][11150/14090]	Time 0.742 (0.751)	Data 0.001 (0.001)	Loss 2.6127 (2.7415)	Prec@1 35.156 (34.563)	Prec@5 66.406 (64.963)
Epoch: [28][11160/14090]	Time 0.760 (0.751)	Data 0.002 (0.001)	Loss 2.5537 (2.7415)	Prec@1 39.844 (34.562)	Prec@5 71.875 (64.962)
Epoch: [28][11170/14090]	Time 0.741 (0.751)	Data 0.001 (0.001)	Loss 2.5844 (2.7415)	Prec@1 39.844 (34.564)	Prec@5 67.188 (64.963)
Epoch: [28][11180/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 2.6623 (2.7415)	Prec@1 37.500 (34.566)	Prec@5 64.844 (64.962)
Epoch: [28][11190/14090]	Time 0.778 (0.751)	Data 0.001 (0.001)	Loss 2.6216 (2.7415)	Prec@1 39.062 (34.565)	Prec@5 65.625 (64.961)
Epoch: [28][11200/14090]	Time 0.739 (0.751)	Data 0.001 (0.001)	Loss 3.2264 (2.7415)	Prec@1 26.562 (34.565)	Prec@5 55.469 (64.961)
Epoch: [28][11210/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 2.6743 (2.7416)	Prec@1 35.156 (34.565)	Prec@5 63.281 (64.958)
Epoch: [28][11220/14090]	Time 0.764 (0.751)	Data 0.001 (0.001)	Loss 2.8512 (2.7415)	Prec@1 32.812 (34.564)	Prec@5 62.500 (64.959)
Epoch: [28][11230/14090]	Time 0.775 (0.751)	Data 0.002 (0.001)	Loss 2.5155 (2.7415)	Prec@1 39.062 (34.563)	Prec@5 67.188 (64.959)
Epoch: [28][11240/14090]	Time 0.729 (0.751)	Data 0.001 (0.001)	Loss 2.5660 (2.7415)	Prec@1 39.844 (34.562)	Prec@5 72.656 (64.958)
Epoch: [28][11250/14090]	Time 0.784 (0.751)	Data 0.002 (0.001)	Loss 2.6449 (2.7416)	Prec@1 35.156 (34.561)	Prec@5 65.625 (64.956)
Epoch: [28][11260/14090]	Time 0.737 (0.751)	Data 0.001 (0.001)	Loss 2.7574 (2.7416)	Prec@1 36.719 (34.562)	Prec@5 66.406 (64.955)
Epoch: [28][11270/14090]	Time 0.729 (0.751)	Data 0.001 (0.001)	Loss 2.4284 (2.7416)	Prec@1 42.969 (34.562)	Prec@5 71.875 (64.954)
Epoch: [28][11280/14090]	Time 0.777 (0.751)	Data 0.001 (0.001)	Loss 3.0638 (2.7416)	Prec@1 28.125 (34.562)	Prec@5 57.031 (64.953)
Epoch: [28][11290/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 2.3488 (2.7416)	Prec@1 39.062 (34.563)	Prec@5 73.438 (64.953)
Epoch: [28][11300/14090]	Time 0.769 (0.751)	Data 0.003 (0.001)	Loss 2.6722 (2.7417)	Prec@1 28.125 (34.563)	Prec@5 64.844 (64.953)
Epoch: [28][11310/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 2.6743 (2.7417)	Prec@1 37.500 (34.560)	Prec@5 62.500 (64.951)
Epoch: [28][11320/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 2.9470 (2.7417)	Prec@1 36.719 (34.561)	Prec@5 64.844 (64.951)
Epoch: [28][11330/14090]	Time 0.760 (0.751)	Data 0.001 (0.001)	Loss 2.5899 (2.7417)	Prec@1 39.062 (34.560)	Prec@5 67.969 (64.951)
Epoch: [28][11340/14090]	Time 0.729 (0.751)	Data 0.001 (0.001)	Loss 2.7791 (2.7417)	Prec@1 36.719 (34.561)	Prec@5 60.938 (64.951)
Epoch: [28][11350/14090]	Time 0.788 (0.751)	Data 0.001 (0.001)	Loss 3.0575 (2.7417)	Prec@1 29.688 (34.562)	Prec@5 62.500 (64.951)
Epoch: [28][11360/14090]	Time 0.739 (0.751)	Data 0.001 (0.001)	Loss 2.5347 (2.7418)	Prec@1 36.719 (34.560)	Prec@5 66.406 (64.949)
Epoch: [28][11370/14090]	Time 0.779 (0.751)	Data 0.002 (0.001)	Loss 2.9838 (2.7418)	Prec@1 35.156 (34.560)	Prec@5 60.156 (64.947)
Epoch: [28][11380/14090]	Time 0.739 (0.751)	Data 0.001 (0.001)	Loss 2.8790 (2.7418)	Prec@1 32.812 (34.560)	Prec@5 60.938 (64.947)
Epoch: [28][11390/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 2.6358 (2.7417)	Prec@1 38.281 (34.562)	Prec@5 71.094 (64.949)
Epoch: [28][11400/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 3.0180 (2.7418)	Prec@1 35.156 (34.562)	Prec@5 60.938 (64.949)
Epoch: [28][11410/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 2.8273 (2.7418)	Prec@1 33.594 (34.561)	Prec@5 61.719 (64.949)
Epoch: [28][11420/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 2.9277 (2.7419)	Prec@1 24.219 (34.558)	Prec@5 60.156 (64.949)
Epoch: [28][11430/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 2.6069 (2.7418)	Prec@1 32.812 (34.558)	Prec@5 71.094 (64.949)
Epoch: [28][11440/14090]	Time 0.743 (0.751)	Data 0.002 (0.001)	Loss 2.7478 (2.7418)	Prec@1 24.219 (34.558)	Prec@5 65.625 (64.951)
Epoch: [28][11450/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 2.6623 (2.7417)	Prec@1 36.719 (34.558)	Prec@5 68.750 (64.952)
Epoch: [28][11460/14090]	Time 0.768 (0.751)	Data 0.001 (0.001)	Loss 2.5386 (2.7417)	Prec@1 32.812 (34.557)	Prec@5 75.781 (64.952)
Epoch: [28][11470/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 2.9710 (2.7418)	Prec@1 30.469 (34.556)	Prec@5 57.812 (64.950)
Epoch: [28][11480/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 2.9337 (2.7419)	Prec@1 37.500 (34.557)	Prec@5 62.500 (64.949)
Epoch: [28][11490/14090]	Time 0.739 (0.751)	Data 0.001 (0.001)	Loss 2.7142 (2.7418)	Prec@1 28.125 (34.557)	Prec@5 70.312 (64.950)
Epoch: [28][11500/14090]	Time 0.728 (0.751)	Data 0.001 (0.001)	Loss 2.8960 (2.7419)	Prec@1 34.375 (34.555)	Prec@5 60.938 (64.949)
Epoch: [28][11510/14090]	Time 0.742 (0.751)	Data 0.002 (0.001)	Loss 2.5000 (2.7419)	Prec@1 35.938 (34.555)	Prec@5 70.312 (64.948)
Epoch: [28][11520/14090]	Time 0.731 (0.751)	Data 0.001 (0.001)	Loss 2.7978 (2.7419)	Prec@1 38.281 (34.556)	Prec@5 66.406 (64.948)
Epoch: [28][11530/14090]	Time 0.774 (0.751)	Data 0.001 (0.001)	Loss 2.4981 (2.7419)	Prec@1 40.625 (34.556)	Prec@5 71.094 (64.949)
Epoch: [28][11540/14090]	Time 0.729 (0.751)	Data 0.001 (0.001)	Loss 2.6306 (2.7418)	Prec@1 39.062 (34.559)	Prec@5 58.594 (64.951)
Epoch: [28][11550/14090]	Time 0.741 (0.751)	Data 0.001 (0.001)	Loss 2.4165 (2.7418)	Prec@1 36.719 (34.559)	Prec@5 73.438 (64.953)
Epoch: [28][11560/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 2.7718 (2.7417)	Prec@1 33.594 (34.561)	Prec@5 66.406 (64.954)
Epoch: [28][11570/14090]	Time 0.743 (0.751)	Data 0.001 (0.001)	Loss 2.8587 (2.7417)	Prec@1 37.500 (34.562)	Prec@5 64.062 (64.954)
Epoch: [28][11580/14090]	Time 0.770 (0.751)	Data 0.004 (0.001)	Loss 2.7339 (2.7417)	Prec@1 35.938 (34.562)	Prec@5 62.500 (64.954)
Epoch: [28][11590/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 2.7122 (2.7417)	Prec@1 41.406 (34.562)	Prec@5 64.844 (64.954)
Epoch: [28][11600/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 2.6949 (2.7417)	Prec@1 34.375 (34.560)	Prec@5 67.188 (64.955)
Epoch: [28][11610/14090]	Time 0.737 (0.751)	Data 0.001 (0.001)	Loss 2.8558 (2.7417)	Prec@1 34.375 (34.560)	Prec@5 61.719 (64.955)
Epoch: [28][11620/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 2.7602 (2.7417)	Prec@1 32.812 (34.558)	Prec@5 62.500 (64.954)
Epoch: [28][11630/14090]	Time 0.764 (0.751)	Data 0.001 (0.001)	Loss 2.6879 (2.7417)	Prec@1 31.250 (34.557)	Prec@5 62.500 (64.953)
Epoch: [28][11640/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 2.7911 (2.7417)	Prec@1 36.719 (34.558)	Prec@5 59.375 (64.954)
Epoch: [28][11650/14090]	Time 0.736 (0.751)	Data 0.002 (0.001)	Loss 2.7675 (2.7417)	Prec@1 38.281 (34.559)	Prec@5 65.625 (64.955)
Epoch: [28][11660/14090]	Time 0.760 (0.751)	Data 0.001 (0.001)	Loss 2.5814 (2.7416)	Prec@1 35.156 (34.561)	Prec@5 68.750 (64.955)
Epoch: [28][11670/14090]	Time 0.776 (0.751)	Data 0.001 (0.001)	Loss 2.5615 (2.7416)	Prec@1 37.500 (34.561)	Prec@5 69.531 (64.957)
Epoch: [28][11680/14090]	Time 0.717 (0.751)	Data 0.001 (0.001)	Loss 2.8505 (2.7417)	Prec@1 34.375 (34.561)	Prec@5 62.500 (64.955)
Epoch: [28][11690/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 2.8214 (2.7416)	Prec@1 37.500 (34.562)	Prec@5 60.156 (64.955)
Epoch: [28][11700/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 2.5545 (2.7416)	Prec@1 36.719 (34.562)	Prec@5 71.875 (64.955)
Epoch: [28][11710/14090]	Time 0.741 (0.751)	Data 0.001 (0.001)	Loss 2.6791 (2.7415)	Prec@1 33.594 (34.562)	Prec@5 65.625 (64.956)
Epoch: [28][11720/14090]	Time 0.762 (0.751)	Data 0.002 (0.001)	Loss 2.9004 (2.7414)	Prec@1 35.938 (34.564)	Prec@5 56.250 (64.957)
Epoch: [28][11730/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 2.7681 (2.7415)	Prec@1 38.281 (34.565)	Prec@5 64.062 (64.956)
Epoch: [28][11740/14090]	Time 0.734 (0.751)	Data 0.001 (0.001)	Loss 2.6281 (2.7414)	Prec@1 35.938 (34.564)	Prec@5 65.625 (64.957)
Epoch: [28][11750/14090]	Time 0.780 (0.751)	Data 0.001 (0.001)	Loss 2.6553 (2.7415)	Prec@1 39.062 (34.564)	Prec@5 64.844 (64.955)
Epoch: [28][11760/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 2.9508 (2.7415)	Prec@1 28.906 (34.563)	Prec@5 64.844 (64.955)
Epoch: [28][11770/14090]	Time 0.780 (0.751)	Data 0.001 (0.001)	Loss 2.8818 (2.7415)	Prec@1 31.250 (34.562)	Prec@5 66.406 (64.955)
Epoch: [28][11780/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 2.7296 (2.7415)	Prec@1 35.938 (34.564)	Prec@5 64.062 (64.955)
Epoch: [28][11790/14090]	Time 0.732 (0.751)	Data 0.002 (0.001)	Loss 2.8141 (2.7416)	Prec@1 36.719 (34.562)	Prec@5 64.844 (64.954)
Epoch: [28][11800/14090]	Time 0.764 (0.751)	Data 0.001 (0.001)	Loss 2.7439 (2.7416)	Prec@1 27.344 (34.562)	Prec@5 63.281 (64.955)
Epoch: [28][11810/14090]	Time 0.741 (0.751)	Data 0.001 (0.001)	Loss 2.5110 (2.7415)	Prec@1 37.500 (34.562)	Prec@5 67.188 (64.955)
Epoch: [28][11820/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 2.7365 (2.7416)	Prec@1 35.156 (34.562)	Prec@5 56.250 (64.953)
Epoch: [28][11830/14090]	Time 0.761 (0.751)	Data 0.001 (0.001)	Loss 2.6989 (2.7415)	Prec@1 37.500 (34.564)	Prec@5 62.500 (64.953)
Epoch: [28][11840/14090]	Time 0.725 (0.751)	Data 0.001 (0.001)	Loss 2.7503 (2.7416)	Prec@1 35.156 (34.563)	Prec@5 62.500 (64.951)
Epoch: [28][11850/14090]	Time 0.733 (0.751)	Data 0.001 (0.001)	Loss 2.7707 (2.7416)	Prec@1 38.281 (34.563)	Prec@5 68.750 (64.953)
Epoch: [28][11860/14090]	Time 0.758 (0.751)	Data 0.003 (0.001)	Loss 2.6047 (2.7416)	Prec@1 32.812 (34.562)	Prec@5 67.188 (64.953)
Epoch: [28][11870/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 2.8285 (2.7417)	Prec@1 32.031 (34.562)	Prec@5 60.156 (64.952)
Epoch: [28][11880/14090]	Time 0.733 (0.751)	Data 0.001 (0.001)	Loss 2.3542 (2.7417)	Prec@1 41.406 (34.561)	Prec@5 77.344 (64.950)
Epoch: [28][11890/14090]	Time 0.776 (0.751)	Data 0.001 (0.001)	Loss 2.6364 (2.7417)	Prec@1 33.594 (34.560)	Prec@5 71.875 (64.951)
Epoch: [28][11900/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 2.6044 (2.7418)	Prec@1 37.500 (34.558)	Prec@5 65.625 (64.949)
Epoch: [28][11910/14090]	Time 0.773 (0.751)	Data 0.001 (0.001)	Loss 2.5700 (2.7418)	Prec@1 36.719 (34.557)	Prec@5 68.750 (64.948)
Epoch: [28][11920/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 2.7149 (2.7418)	Prec@1 31.250 (34.556)	Prec@5 64.844 (64.947)
Epoch: [28][11930/14090]	Time 0.797 (0.751)	Data 0.002 (0.001)	Loss 2.7583 (2.7418)	Prec@1 35.938 (34.559)	Prec@5 66.406 (64.948)
Epoch: [28][11940/14090]	Time 0.757 (0.751)	Data 0.001 (0.001)	Loss 2.6162 (2.7418)	Prec@1 33.594 (34.560)	Prec@5 67.188 (64.948)
Epoch: [28][11950/14090]	Time 0.727 (0.751)	Data 0.001 (0.001)	Loss 2.6223 (2.7417)	Prec@1 33.594 (34.560)	Prec@5 68.750 (64.951)
Epoch: [28][11960/14090]	Time 0.772 (0.751)	Data 0.001 (0.001)	Loss 2.8328 (2.7417)	Prec@1 34.375 (34.560)	Prec@5 66.406 (64.950)
Epoch: [28][11970/14090]	Time 0.771 (0.751)	Data 0.001 (0.001)	Loss 2.8550 (2.7417)	Prec@1 37.500 (34.561)	Prec@5 62.500 (64.950)
Epoch: [28][11980/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 2.3862 (2.7417)	Prec@1 44.531 (34.561)	Prec@5 71.094 (64.950)
Epoch: [28][11990/14090]	Time 0.743 (0.751)	Data 0.001 (0.001)	Loss 2.9910 (2.7418)	Prec@1 25.000 (34.560)	Prec@5 62.500 (64.950)
Epoch: [28][12000/14090]	Time 0.747 (0.751)	Data 0.002 (0.001)	Loss 2.6833 (2.7418)	Prec@1 33.594 (34.559)	Prec@5 68.750 (64.950)
Epoch: [28][12010/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 2.7196 (2.7419)	Prec@1 33.594 (34.556)	Prec@5 64.844 (64.948)
Epoch: [28][12020/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 3.0969 (2.7420)	Prec@1 28.125 (34.555)	Prec@5 57.812 (64.946)
Epoch: [28][12030/14090]	Time 0.727 (0.751)	Data 0.001 (0.001)	Loss 2.4896 (2.7420)	Prec@1 40.625 (34.555)	Prec@5 72.656 (64.946)
Epoch: [28][12040/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 2.8723 (2.7420)	Prec@1 32.031 (34.554)	Prec@5 60.156 (64.945)
Epoch: [28][12050/14090]	Time 0.768 (0.751)	Data 0.001 (0.001)	Loss 2.6334 (2.7420)	Prec@1 35.156 (34.553)	Prec@5 71.094 (64.946)
Epoch: [28][12060/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 2.6492 (2.7421)	Prec@1 36.719 (34.553)	Prec@5 63.281 (64.945)
Epoch: [28][12070/14090]	Time 0.756 (0.751)	Data 0.002 (0.001)	Loss 2.7337 (2.7420)	Prec@1 32.812 (34.553)	Prec@5 66.406 (64.945)
Epoch: [28][12080/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 2.6574 (2.7420)	Prec@1 34.375 (34.553)	Prec@5 64.844 (64.945)
Epoch: [28][12090/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 3.1049 (2.7421)	Prec@1 29.688 (34.552)	Prec@5 57.031 (64.944)
Epoch: [28][12100/14090]	Time 0.779 (0.751)	Data 0.001 (0.001)	Loss 2.5828 (2.7421)	Prec@1 41.406 (34.551)	Prec@5 71.094 (64.944)
Epoch: [28][12110/14090]	Time 0.768 (0.751)	Data 0.001 (0.001)	Loss 2.6026 (2.7421)	Prec@1 32.031 (34.552)	Prec@5 69.531 (64.945)
Epoch: [28][12120/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 2.6102 (2.7421)	Prec@1 35.156 (34.553)	Prec@5 64.844 (64.945)
Epoch: [28][12130/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 2.7634 (2.7421)	Prec@1 27.344 (34.554)	Prec@5 64.844 (64.946)
Epoch: [28][12140/14090]	Time 0.751 (0.751)	Data 0.002 (0.001)	Loss 2.7620 (2.7420)	Prec@1 36.719 (34.555)	Prec@5 64.844 (64.947)
Epoch: [28][12150/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 3.0364 (2.7420)	Prec@1 27.344 (34.555)	Prec@5 64.844 (64.947)
Epoch: [28][12160/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 2.9407 (2.7419)	Prec@1 33.594 (34.558)	Prec@5 62.500 (64.949)
Epoch: [28][12170/14090]	Time 0.778 (0.751)	Data 0.001 (0.001)	Loss 2.6715 (2.7419)	Prec@1 31.250 (34.557)	Prec@5 63.281 (64.948)
Epoch: [28][12180/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 2.5701 (2.7420)	Prec@1 41.406 (34.555)	Prec@5 64.844 (64.945)
Epoch: [28][12190/14090]	Time 0.782 (0.751)	Data 0.001 (0.001)	Loss 3.0304 (2.7420)	Prec@1 33.594 (34.556)	Prec@5 55.469 (64.945)
Epoch: [28][12200/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 2.5865 (2.7421)	Prec@1 34.375 (34.556)	Prec@5 71.094 (64.945)
Epoch: [28][12210/14090]	Time 0.732 (0.751)	Data 0.002 (0.001)	Loss 2.8514 (2.7421)	Prec@1 29.688 (34.555)	Prec@5 60.938 (64.945)
Epoch: [28][12220/14090]	Time 0.771 (0.751)	Data 0.001 (0.001)	Loss 2.7445 (2.7420)	Prec@1 32.812 (34.557)	Prec@5 63.281 (64.946)
Epoch: [28][12230/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 2.6558 (2.7419)	Prec@1 36.719 (34.558)	Prec@5 71.094 (64.947)
Epoch: [28][12240/14090]	Time 0.737 (0.751)	Data 0.001 (0.001)	Loss 2.9549 (2.7420)	Prec@1 35.938 (34.558)	Prec@5 61.719 (64.946)
Epoch: [28][12250/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 2.9343 (2.7420)	Prec@1 33.594 (34.558)	Prec@5 60.938 (64.945)
Epoch: [28][12260/14090]	Time 0.729 (0.751)	Data 0.000 (0.001)	Loss 2.6821 (2.7420)	Prec@1 33.594 (34.558)	Prec@5 64.844 (64.945)
Epoch: [28][12270/14090]	Time 0.779 (0.751)	Data 0.001 (0.001)	Loss 2.8741 (2.7420)	Prec@1 35.938 (34.558)	Prec@5 58.594 (64.946)
Epoch: [28][12280/14090]	Time 0.769 (0.751)	Data 0.003 (0.001)	Loss 2.6615 (2.7420)	Prec@1 31.250 (34.559)	Prec@5 71.094 (64.947)
Epoch: [28][12290/14090]	Time 0.764 (0.751)	Data 0.001 (0.001)	Loss 2.8301 (2.7420)	Prec@1 34.375 (34.558)	Prec@5 67.188 (64.948)
Epoch: [28][12300/14090]	Time 0.733 (0.751)	Data 0.001 (0.001)	Loss 2.5726 (2.7419)	Prec@1 32.031 (34.557)	Prec@5 72.656 (64.949)
Epoch: [28][12310/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 2.6170 (2.7419)	Prec@1 38.281 (34.558)	Prec@5 70.312 (64.949)
Epoch: [28][12320/14090]	Time 0.731 (0.751)	Data 0.001 (0.001)	Loss 2.5867 (2.7420)	Prec@1 34.375 (34.557)	Prec@5 67.188 (64.947)
Epoch: [28][12330/14090]	Time 0.771 (0.751)	Data 0.001 (0.001)	Loss 2.7772 (2.7420)	Prec@1 33.594 (34.555)	Prec@5 67.969 (64.946)
Epoch: [28][12340/14090]	Time 0.724 (0.751)	Data 0.001 (0.001)	Loss 2.8318 (2.7420)	Prec@1 32.031 (34.554)	Prec@5 62.500 (64.947)
Epoch: [28][12350/14090]	Time 0.736 (0.751)	Data 0.002 (0.001)	Loss 2.7363 (2.7421)	Prec@1 37.500 (34.554)	Prec@5 67.188 (64.946)
Epoch: [28][12360/14090]	Time 0.769 (0.751)	Data 0.001 (0.001)	Loss 2.8605 (2.7421)	Prec@1 32.031 (34.553)	Prec@5 59.375 (64.945)
Epoch: [28][12370/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 2.5223 (2.7421)	Prec@1 41.406 (34.553)	Prec@5 67.969 (64.944)
Epoch: [28][12380/14090]	Time 0.737 (0.751)	Data 0.001 (0.001)	Loss 2.8386 (2.7421)	Prec@1 35.156 (34.552)	Prec@5 61.719 (64.944)
Epoch: [28][12390/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 2.8509 (2.7422)	Prec@1 32.031 (34.550)	Prec@5 61.719 (64.942)
Epoch: [28][12400/14090]	Time 0.724 (0.751)	Data 0.001 (0.001)	Loss 2.5052 (2.7422)	Prec@1 39.062 (34.551)	Prec@5 68.750 (64.943)
Epoch: [28][12410/14090]	Time 0.731 (0.751)	Data 0.001 (0.001)	Loss 2.7810 (2.7422)	Prec@1 33.594 (34.550)	Prec@5 64.844 (64.943)
Epoch: [28][12420/14090]	Time 0.725 (0.751)	Data 0.002 (0.001)	Loss 2.5444 (2.7421)	Prec@1 39.062 (34.551)	Prec@5 70.312 (64.945)
Epoch: [28][12430/14090]	Time 0.752 (0.751)	Data 0.002 (0.001)	Loss 2.9171 (2.7422)	Prec@1 31.250 (34.550)	Prec@5 59.375 (64.945)
Epoch: [28][12440/14090]	Time 0.765 (0.751)	Data 0.001 (0.001)	Loss 2.4892 (2.7421)	Prec@1 39.844 (34.552)	Prec@5 71.094 (64.947)
Epoch: [28][12450/14090]	Time 0.785 (0.751)	Data 0.001 (0.001)	Loss 2.8575 (2.7420)	Prec@1 35.156 (34.553)	Prec@5 62.500 (64.949)
Epoch: [28][12460/14090]	Time 0.727 (0.751)	Data 0.001 (0.001)	Loss 2.9241 (2.7421)	Prec@1 35.938 (34.554)	Prec@5 65.625 (64.949)
Epoch: [28][12470/14090]	Time 0.742 (0.751)	Data 0.001 (0.001)	Loss 2.7465 (2.7421)	Prec@1 35.156 (34.553)	Prec@5 62.500 (64.949)
Epoch: [28][12480/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 2.5358 (2.7421)	Prec@1 39.062 (34.553)	Prec@5 64.062 (64.947)
Epoch: [28][12490/14090]	Time 0.775 (0.751)	Data 0.002 (0.001)	Loss 2.5645 (2.7420)	Prec@1 34.375 (34.554)	Prec@5 67.969 (64.948)
Epoch: [28][12500/14090]	Time 0.723 (0.751)	Data 0.001 (0.001)	Loss 2.8052 (2.7420)	Prec@1 34.375 (34.554)	Prec@5 60.156 (64.949)
Epoch: [28][12510/14090]	Time 0.731 (0.751)	Data 0.001 (0.001)	Loss 3.0748 (2.7420)	Prec@1 32.031 (34.554)	Prec@5 57.031 (64.948)
Epoch: [28][12520/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 2.8149 (2.7420)	Prec@1 35.156 (34.555)	Prec@5 63.281 (64.949)
Epoch: [28][12530/14090]	Time 0.733 (0.751)	Data 0.001 (0.001)	Loss 2.6711 (2.7420)	Prec@1 32.812 (34.556)	Prec@5 66.406 (64.949)
Epoch: [28][12540/14090]	Time 0.742 (0.751)	Data 0.001 (0.001)	Loss 2.6064 (2.7420)	Prec@1 36.719 (34.555)	Prec@5 67.969 (64.949)
Epoch: [28][12550/14090]	Time 0.728 (0.751)	Data 0.001 (0.001)	Loss 2.6624 (2.7419)	Prec@1 34.375 (34.556)	Prec@5 64.062 (64.950)
Epoch: [28][12560/14090]	Time 0.728 (0.751)	Data 0.002 (0.001)	Loss 2.9497 (2.7419)	Prec@1 32.031 (34.556)	Prec@5 64.062 (64.950)
Epoch: [28][12570/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 2.5527 (2.7419)	Prec@1 33.594 (34.556)	Prec@5 66.406 (64.949)
Epoch: [28][12580/14090]	Time 0.776 (0.751)	Data 0.001 (0.001)	Loss 2.5564 (2.7419)	Prec@1 34.375 (34.556)	Prec@5 71.094 (64.948)
Epoch: [28][12590/14090]	Time 0.741 (0.751)	Data 0.001 (0.001)	Loss 2.6944 (2.7419)	Prec@1 39.062 (34.557)	Prec@5 68.750 (64.949)
Epoch: [28][12600/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 2.6388 (2.7419)	Prec@1 38.281 (34.556)	Prec@5 68.750 (64.949)
Epoch: [28][12610/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.8657 (2.7419)	Prec@1 33.594 (34.556)	Prec@5 66.406 (64.949)
Epoch: [28][12620/14090]	Time 0.734 (0.751)	Data 0.001 (0.001)	Loss 2.5646 (2.7420)	Prec@1 39.062 (34.554)	Prec@5 71.094 (64.949)
Epoch: [28][12630/14090]	Time 0.765 (0.751)	Data 0.002 (0.001)	Loss 2.8582 (2.7419)	Prec@1 32.812 (34.553)	Prec@5 60.156 (64.950)
Epoch: [28][12640/14090]	Time 0.763 (0.751)	Data 0.001 (0.001)	Loss 2.7981 (2.7419)	Prec@1 31.250 (34.552)	Prec@5 64.062 (64.949)
Epoch: [28][12650/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.9234 (2.7419)	Prec@1 32.812 (34.552)	Prec@5 62.500 (64.949)
Epoch: [28][12660/14090]	Time 0.770 (0.751)	Data 0.001 (0.001)	Loss 2.7669 (2.7419)	Prec@1 33.594 (34.552)	Prec@5 64.844 (64.948)
Epoch: [28][12670/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 2.7353 (2.7419)	Prec@1 36.719 (34.551)	Prec@5 65.625 (64.950)
Epoch: [28][12680/14090]	Time 0.741 (0.751)	Data 0.001 (0.001)	Loss 2.8340 (2.7419)	Prec@1 34.375 (34.550)	Prec@5 65.625 (64.951)
Epoch: [28][12690/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 2.7755 (2.7418)	Prec@1 32.031 (34.552)	Prec@5 61.719 (64.951)
Epoch: [28][12700/14090]	Time 0.780 (0.751)	Data 0.002 (0.001)	Loss 2.7402 (2.7418)	Prec@1 37.500 (34.552)	Prec@5 60.938 (64.950)
Epoch: [28][12710/14090]	Time 0.739 (0.751)	Data 0.001 (0.001)	Loss 2.6708 (2.7419)	Prec@1 34.375 (34.551)	Prec@5 68.750 (64.949)
Epoch: [28][12720/14090]	Time 0.737 (0.751)	Data 0.001 (0.001)	Loss 2.7599 (2.7419)	Prec@1 30.469 (34.550)	Prec@5 60.938 (64.948)
Epoch: [28][12730/14090]	Time 0.761 (0.751)	Data 0.001 (0.001)	Loss 2.6045 (2.7419)	Prec@1 35.156 (34.549)	Prec@5 67.188 (64.949)
Epoch: [28][12740/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 2.6556 (2.7419)	Prec@1 34.375 (34.548)	Prec@5 66.406 (64.948)
Epoch: [28][12750/14090]	Time 0.772 (0.751)	Data 0.001 (0.001)	Loss 2.9909 (2.7419)	Prec@1 30.469 (34.548)	Prec@5 58.594 (64.948)
Epoch: [28][12760/14090]	Time 0.757 (0.751)	Data 0.001 (0.001)	Loss 2.8130 (2.7419)	Prec@1 35.156 (34.547)	Prec@5 63.281 (64.949)
Epoch: [28][12770/14090]	Time 0.731 (0.751)	Data 0.002 (0.001)	Loss 2.7820 (2.7419)	Prec@1 35.938 (34.547)	Prec@5 68.750 (64.950)
Epoch: [28][12780/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 2.4017 (2.7418)	Prec@1 42.188 (34.548)	Prec@5 73.438 (64.952)
Epoch: [28][12790/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 2.6298 (2.7418)	Prec@1 34.375 (34.548)	Prec@5 67.969 (64.952)
Epoch: [28][12800/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 2.8050 (2.7418)	Prec@1 32.031 (34.548)	Prec@5 64.062 (64.952)
Epoch: [28][12810/14090]	Time 0.776 (0.751)	Data 0.001 (0.001)	Loss 2.7794 (2.7419)	Prec@1 36.719 (34.548)	Prec@5 60.156 (64.950)
Epoch: [28][12820/14090]	Time 0.773 (0.751)	Data 0.001 (0.001)	Loss 2.8894 (2.7418)	Prec@1 33.594 (34.550)	Prec@5 65.625 (64.951)
Epoch: [28][12830/14090]	Time 0.778 (0.751)	Data 0.001 (0.001)	Loss 2.9471 (2.7418)	Prec@1 32.812 (34.550)	Prec@5 59.375 (64.952)
Epoch: [28][12840/14090]	Time 0.737 (0.751)	Data 0.002 (0.001)	Loss 2.3917 (2.7417)	Prec@1 39.844 (34.550)	Prec@5 67.188 (64.953)
Epoch: [28][12850/14090]	Time 0.731 (0.751)	Data 0.001 (0.001)	Loss 2.8966 (2.7418)	Prec@1 25.781 (34.548)	Prec@5 63.281 (64.953)
Epoch: [28][12860/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 2.7824 (2.7418)	Prec@1 34.375 (34.547)	Prec@5 64.844 (64.953)
Epoch: [28][12870/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 2.8433 (2.7418)	Prec@1 31.250 (34.547)	Prec@5 65.625 (64.954)
Epoch: [28][12880/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 2.6172 (2.7418)	Prec@1 36.719 (34.546)	Prec@5 68.750 (64.954)
Epoch: [28][12890/14090]	Time 0.765 (0.751)	Data 0.001 (0.001)	Loss 2.4107 (2.7418)	Prec@1 39.844 (34.546)	Prec@5 72.656 (64.955)
Epoch: [28][12900/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.6628 (2.7418)	Prec@1 36.719 (34.546)	Prec@5 64.062 (64.954)
Epoch: [28][12910/14090]	Time 0.732 (0.751)	Data 0.002 (0.001)	Loss 2.6728 (2.7419)	Prec@1 32.812 (34.544)	Prec@5 68.750 (64.953)
Epoch: [28][12920/14090]	Time 0.779 (0.751)	Data 0.001 (0.001)	Loss 2.7950 (2.7418)	Prec@1 30.469 (34.544)	Prec@5 64.844 (64.954)
Epoch: [28][12930/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 2.7388 (2.7418)	Prec@1 29.688 (34.544)	Prec@5 62.500 (64.954)
Epoch: [28][12940/14090]	Time 0.775 (0.751)	Data 0.001 (0.001)	Loss 2.7493 (2.7419)	Prec@1 37.500 (34.543)	Prec@5 65.625 (64.953)
Epoch: [28][12950/14090]	Time 0.742 (0.751)	Data 0.001 (0.001)	Loss 2.6984 (2.7418)	Prec@1 33.594 (34.545)	Prec@5 65.625 (64.954)
Epoch: [28][12960/14090]	Time 0.731 (0.751)	Data 0.001 (0.001)	Loss 2.8048 (2.7418)	Prec@1 35.938 (34.545)	Prec@5 63.281 (64.953)
Epoch: [28][12970/14090]	Time 0.728 (0.750)	Data 0.001 (0.001)	Loss 2.7440 (2.7419)	Prec@1 41.406 (34.544)	Prec@5 64.062 (64.952)
Epoch: [28][12980/14090]	Time 0.774 (0.751)	Data 0.001 (0.001)	Loss 2.8418 (2.7418)	Prec@1 29.688 (34.545)	Prec@5 61.719 (64.953)
Epoch: [28][12990/14090]	Time 0.731 (0.750)	Data 0.001 (0.001)	Loss 2.2806 (2.7418)	Prec@1 46.094 (34.547)	Prec@5 76.562 (64.954)
Epoch: [28][13000/14090]	Time 0.743 (0.750)	Data 0.001 (0.001)	Loss 3.0860 (2.7417)	Prec@1 26.562 (34.547)	Prec@5 57.812 (64.955)
Epoch: [28][13010/14090]	Time 0.749 (0.750)	Data 0.001 (0.001)	Loss 2.9272 (2.7418)	Prec@1 28.125 (34.546)	Prec@5 62.500 (64.955)
Epoch: [28][13020/14090]	Time 0.733 (0.750)	Data 0.001 (0.001)	Loss 2.6282 (2.7418)	Prec@1 33.594 (34.544)	Prec@5 68.750 (64.954)
Epoch: [28][13030/14090]	Time 0.771 (0.750)	Data 0.001 (0.001)	Loss 2.4661 (2.7417)	Prec@1 32.812 (34.546)	Prec@5 76.562 (64.956)
Epoch: [28][13040/14090]	Time 0.729 (0.750)	Data 0.001 (0.001)	Loss 3.0832 (2.7417)	Prec@1 29.688 (34.546)	Prec@5 56.250 (64.956)
Epoch: [28][13050/14090]	Time 0.747 (0.750)	Data 0.002 (0.001)	Loss 2.7013 (2.7417)	Prec@1 35.156 (34.549)	Prec@5 67.969 (64.957)
Epoch: [28][13060/14090]	Time 0.739 (0.750)	Data 0.001 (0.001)	Loss 2.8272 (2.7416)	Prec@1 35.156 (34.549)	Prec@5 60.938 (64.957)
Epoch: [28][13070/14090]	Time 0.745 (0.750)	Data 0.002 (0.001)	Loss 2.9204 (2.7416)	Prec@1 32.812 (34.551)	Prec@5 60.156 (64.958)
Epoch: [28][13080/14090]	Time 0.749 (0.750)	Data 0.001 (0.001)	Loss 2.5898 (2.7415)	Prec@1 34.375 (34.553)	Prec@5 67.188 (64.959)
Epoch: [28][13090/14090]	Time 0.756 (0.750)	Data 0.001 (0.001)	Loss 2.5852 (2.7416)	Prec@1 39.062 (34.553)	Prec@5 71.094 (64.958)
Epoch: [28][13100/14090]	Time 0.781 (0.750)	Data 0.001 (0.001)	Loss 2.9753 (2.7416)	Prec@1 31.250 (34.552)	Prec@5 64.062 (64.958)
Epoch: [28][13110/14090]	Time 0.754 (0.750)	Data 0.001 (0.001)	Loss 2.5583 (2.7416)	Prec@1 35.938 (34.553)	Prec@5 67.188 (64.958)
Epoch: [28][13120/14090]	Time 0.745 (0.750)	Data 0.002 (0.001)	Loss 2.4799 (2.7416)	Prec@1 42.188 (34.552)	Prec@5 70.312 (64.958)
Epoch: [28][13130/14090]	Time 0.753 (0.750)	Data 0.001 (0.001)	Loss 2.5888 (2.7416)	Prec@1 39.844 (34.553)	Prec@5 68.750 (64.959)
Epoch: [28][13140/14090]	Time 0.739 (0.750)	Data 0.001 (0.001)	Loss 2.6716 (2.7416)	Prec@1 33.594 (34.554)	Prec@5 65.625 (64.959)
Epoch: [28][13150/14090]	Time 0.724 (0.750)	Data 0.001 (0.001)	Loss 2.6208 (2.7416)	Prec@1 35.156 (34.554)	Prec@5 65.625 (64.960)
Epoch: [28][13160/14090]	Time 0.765 (0.750)	Data 0.001 (0.001)	Loss 2.5935 (2.7416)	Prec@1 38.281 (34.554)	Prec@5 64.062 (64.960)
Epoch: [28][13170/14090]	Time 0.731 (0.750)	Data 0.001 (0.001)	Loss 2.7237 (2.7415)	Prec@1 32.812 (34.555)	Prec@5 64.844 (64.960)
Epoch: [28][13180/14090]	Time 0.790 (0.750)	Data 0.001 (0.001)	Loss 2.6712 (2.7414)	Prec@1 36.719 (34.556)	Prec@5 64.062 (64.961)
Epoch: [28][13190/14090]	Time 0.741 (0.750)	Data 0.002 (0.001)	Loss 2.9023 (2.7414)	Prec@1 28.906 (34.556)	Prec@5 55.469 (64.961)
Epoch: [28][13200/14090]	Time 0.748 (0.750)	Data 0.001 (0.001)	Loss 2.8128 (2.7414)	Prec@1 36.719 (34.558)	Prec@5 67.188 (64.962)
Epoch: [28][13210/14090]	Time 0.732 (0.750)	Data 0.000 (0.001)	Loss 2.6768 (2.7414)	Prec@1 36.719 (34.558)	Prec@5 65.625 (64.962)
Epoch: [28][13220/14090]	Time 0.739 (0.750)	Data 0.001 (0.001)	Loss 2.5823 (2.7414)	Prec@1 36.719 (34.558)	Prec@5 66.406 (64.962)
Epoch: [28][13230/14090]	Time 0.727 (0.750)	Data 0.001 (0.001)	Loss 2.6326 (2.7414)	Prec@1 42.188 (34.560)	Prec@5 66.406 (64.962)
Epoch: [28][13240/14090]	Time 0.779 (0.750)	Data 0.001 (0.001)	Loss 2.7321 (2.7415)	Prec@1 33.594 (34.558)	Prec@5 64.062 (64.961)
Epoch: [28][13250/14090]	Time 0.739 (0.750)	Data 0.001 (0.001)	Loss 2.7343 (2.7415)	Prec@1 35.938 (34.558)	Prec@5 60.156 (64.960)
Epoch: [28][13260/14090]	Time 0.728 (0.750)	Data 0.002 (0.001)	Loss 2.5646 (2.7415)	Prec@1 33.594 (34.558)	Prec@5 67.969 (64.960)
Epoch: [28][13270/14090]	Time 0.774 (0.750)	Data 0.001 (0.001)	Loss 2.9282 (2.7416)	Prec@1 28.906 (34.556)	Prec@5 64.844 (64.959)
Epoch: [28][13280/14090]	Time 0.755 (0.750)	Data 0.001 (0.001)	Loss 2.8288 (2.7416)	Prec@1 32.031 (34.556)	Prec@5 62.500 (64.958)
Epoch: [28][13290/14090]	Time 0.731 (0.750)	Data 0.001 (0.001)	Loss 2.8968 (2.7416)	Prec@1 31.250 (34.557)	Prec@5 60.156 (64.958)
Epoch: [28][13300/14090]	Time 0.786 (0.750)	Data 0.001 (0.001)	Loss 2.7802 (2.7416)	Prec@1 39.062 (34.558)	Prec@5 66.406 (64.959)
Epoch: [28][13310/14090]	Time 0.738 (0.750)	Data 0.001 (0.001)	Loss 2.4955 (2.7415)	Prec@1 37.500 (34.558)	Prec@5 68.750 (64.960)
Epoch: [28][13320/14090]	Time 0.775 (0.750)	Data 0.001 (0.001)	Loss 2.9232 (2.7416)	Prec@1 28.906 (34.559)	Prec@5 62.500 (64.959)
Epoch: [28][13330/14090]	Time 0.741 (0.750)	Data 0.002 (0.001)	Loss 2.9421 (2.7416)	Prec@1 32.031 (34.557)	Prec@5 60.938 (64.958)
Epoch: [28][13340/14090]	Time 0.749 (0.750)	Data 0.001 (0.001)	Loss 2.8846 (2.7416)	Prec@1 32.812 (34.557)	Prec@5 60.156 (64.957)
Epoch: [28][13350/14090]	Time 0.748 (0.750)	Data 0.001 (0.001)	Loss 2.3391 (2.7416)	Prec@1 39.062 (34.559)	Prec@5 72.656 (64.957)
Epoch: [28][13360/14090]	Time 0.763 (0.750)	Data 0.001 (0.001)	Loss 2.6850 (2.7416)	Prec@1 29.688 (34.559)	Prec@5 68.750 (64.956)
Epoch: [28][13370/14090]	Time 0.746 (0.750)	Data 0.001 (0.001)	Loss 2.9100 (2.7416)	Prec@1 32.031 (34.557)	Prec@5 64.062 (64.956)
Epoch: [28][13380/14090]	Time 0.731 (0.750)	Data 0.001 (0.001)	Loss 2.7515 (2.7416)	Prec@1 36.719 (34.559)	Prec@5 60.156 (64.958)
Epoch: [28][13390/14090]	Time 0.746 (0.750)	Data 0.001 (0.001)	Loss 2.7378 (2.7416)	Prec@1 37.500 (34.557)	Prec@5 67.188 (64.957)
Epoch: [28][13400/14090]	Time 0.732 (0.750)	Data 0.002 (0.001)	Loss 2.6478 (2.7416)	Prec@1 35.938 (34.558)	Prec@5 64.844 (64.958)
Epoch: [28][13410/14090]	Time 0.750 (0.750)	Data 0.001 (0.001)	Loss 2.5266 (2.7415)	Prec@1 38.281 (34.560)	Prec@5 67.188 (64.958)
Epoch: [28][13420/14090]	Time 0.776 (0.750)	Data 0.001 (0.001)	Loss 2.6415 (2.7415)	Prec@1 43.750 (34.560)	Prec@5 65.625 (64.958)
Epoch: [28][13430/14090]	Time 0.758 (0.750)	Data 0.001 (0.001)	Loss 2.7371 (2.7416)	Prec@1 32.031 (34.558)	Prec@5 65.625 (64.958)
Epoch: [28][13440/14090]	Time 0.733 (0.750)	Data 0.001 (0.001)	Loss 2.6921 (2.7415)	Prec@1 39.844 (34.559)	Prec@5 65.625 (64.958)
Epoch: [28][13450/14090]	Time 0.733 (0.750)	Data 0.001 (0.001)	Loss 2.9532 (2.7416)	Prec@1 28.125 (34.558)	Prec@5 64.844 (64.956)
Epoch: [28][13460/14090]	Time 0.761 (0.750)	Data 0.001 (0.001)	Loss 2.9305 (2.7416)	Prec@1 37.500 (34.559)	Prec@5 64.062 (64.957)
Epoch: [28][13470/14090]	Time 0.757 (0.750)	Data 0.003 (0.001)	Loss 2.6665 (2.7416)	Prec@1 30.469 (34.559)	Prec@5 67.188 (64.957)
Epoch: [28][13480/14090]	Time 0.742 (0.750)	Data 0.001 (0.001)	Loss 2.8021 (2.7416)	Prec@1 29.688 (34.558)	Prec@5 64.844 (64.957)
Epoch: [28][13490/14090]	Time 0.764 (0.750)	Data 0.001 (0.001)	Loss 2.7384 (2.7416)	Prec@1 34.375 (34.559)	Prec@5 65.625 (64.957)
Epoch: [28][13500/14090]	Time 0.778 (0.750)	Data 0.001 (0.001)	Loss 2.8951 (2.7416)	Prec@1 28.906 (34.558)	Prec@5 63.281 (64.958)
Epoch: [28][13510/14090]	Time 0.735 (0.750)	Data 0.001 (0.001)	Loss 2.9636 (2.7416)	Prec@1 27.344 (34.559)	Prec@5 57.812 (64.959)
Epoch: [28][13520/14090]	Time 0.773 (0.750)	Data 0.001 (0.001)	Loss 2.5514 (2.7416)	Prec@1 43.750 (34.561)	Prec@5 67.969 (64.961)
Epoch: [28][13530/14090]	Time 0.786 (0.750)	Data 0.001 (0.001)	Loss 2.9808 (2.7416)	Prec@1 25.000 (34.559)	Prec@5 65.625 (64.961)
Epoch: [28][13540/14090]	Time 0.747 (0.750)	Data 0.002 (0.001)	Loss 2.5838 (2.7416)	Prec@1 35.156 (34.558)	Prec@5 71.875 (64.961)
Epoch: [28][13550/14090]	Time 0.763 (0.750)	Data 0.001 (0.001)	Loss 2.6199 (2.7417)	Prec@1 30.469 (34.558)	Prec@5 67.188 (64.960)
Epoch: [28][13560/14090]	Time 0.734 (0.750)	Data 0.001 (0.001)	Loss 2.8197 (2.7416)	Prec@1 32.812 (34.558)	Prec@5 63.281 (64.962)
Epoch: [28][13570/14090]	Time 0.743 (0.750)	Data 0.001 (0.001)	Loss 2.7342 (2.7417)	Prec@1 36.719 (34.558)	Prec@5 61.719 (64.961)
Epoch: [28][13580/14090]	Time 0.754 (0.750)	Data 0.001 (0.001)	Loss 2.7136 (2.7416)	Prec@1 32.031 (34.558)	Prec@5 65.625 (64.961)
Epoch: [28][13590/14090]	Time 0.763 (0.750)	Data 0.001 (0.001)	Loss 2.8806 (2.7416)	Prec@1 28.906 (34.556)	Prec@5 59.375 (64.962)
Epoch: [28][13600/14090]	Time 0.742 (0.750)	Data 0.001 (0.001)	Loss 2.5126 (2.7417)	Prec@1 39.844 (34.555)	Prec@5 72.656 (64.962)
Epoch: [28][13610/14090]	Time 0.731 (0.750)	Data 0.002 (0.001)	Loss 2.9119 (2.7416)	Prec@1 30.469 (34.555)	Prec@5 60.938 (64.962)
Epoch: [28][13620/14090]	Time 0.780 (0.750)	Data 0.001 (0.001)	Loss 2.6549 (2.7416)	Prec@1 32.812 (34.556)	Prec@5 66.406 (64.963)
Epoch: [28][13630/14090]	Time 0.758 (0.750)	Data 0.001 (0.001)	Loss 2.8365 (2.7416)	Prec@1 29.688 (34.557)	Prec@5 63.281 (64.964)
Epoch: [28][13640/14090]	Time 0.745 (0.750)	Data 0.001 (0.001)	Loss 2.7297 (2.7416)	Prec@1 35.156 (34.556)	Prec@5 63.281 (64.964)
Epoch: [28][13650/14090]	Time 0.752 (0.750)	Data 0.001 (0.001)	Loss 2.7334 (2.7416)	Prec@1 33.594 (34.556)	Prec@5 68.750 (64.963)
Epoch: [28][13660/14090]	Time 0.730 (0.750)	Data 0.001 (0.001)	Loss 2.9463 (2.7417)	Prec@1 27.344 (34.555)	Prec@5 62.500 (64.963)
Epoch: [28][13670/14090]	Time 0.778 (0.750)	Data 0.001 (0.001)	Loss 2.9578 (2.7418)	Prec@1 30.469 (34.553)	Prec@5 62.500 (64.961)
Epoch: [28][13680/14090]	Time 0.776 (0.750)	Data 0.002 (0.001)	Loss 2.7777 (2.7417)	Prec@1 40.625 (34.555)	Prec@5 64.844 (64.963)
Epoch: [28][13690/14090]	Time 0.745 (0.750)	Data 0.001 (0.001)	Loss 2.5832 (2.7418)	Prec@1 32.812 (34.554)	Prec@5 69.531 (64.962)
Epoch: [28][13700/14090]	Time 0.759 (0.750)	Data 0.001 (0.001)	Loss 2.4054 (2.7417)	Prec@1 41.406 (34.554)	Prec@5 73.438 (64.964)
Epoch: [28][13710/14090]	Time 0.752 (0.750)	Data 0.001 (0.001)	Loss 2.7196 (2.7418)	Prec@1 32.812 (34.552)	Prec@5 62.500 (64.962)
Epoch: [28][13720/14090]	Time 0.760 (0.750)	Data 0.001 (0.001)	Loss 2.7670 (2.7417)	Prec@1 32.812 (34.553)	Prec@5 62.500 (64.964)
Epoch: [28][13730/14090]	Time 0.770 (0.750)	Data 0.001 (0.001)	Loss 2.4642 (2.7417)	Prec@1 42.969 (34.553)	Prec@5 72.656 (64.965)
Epoch: [28][13740/14090]	Time 0.784 (0.750)	Data 0.001 (0.001)	Loss 2.7749 (2.7416)	Prec@1 35.156 (34.554)	Prec@5 66.406 (64.966)
Epoch: [28][13750/14090]	Time 0.741 (0.750)	Data 0.004 (0.001)	Loss 2.8312 (2.7416)	Prec@1 36.719 (34.554)	Prec@5 67.969 (64.966)
Epoch: [28][13760/14090]	Time 0.779 (0.750)	Data 0.001 (0.001)	Loss 2.5018 (2.7416)	Prec@1 38.281 (34.553)	Prec@5 70.312 (64.966)
Epoch: [28][13770/14090]	Time 0.736 (0.750)	Data 0.001 (0.001)	Loss 2.5675 (2.7415)	Prec@1 42.188 (34.554)	Prec@5 68.750 (64.968)
Epoch: [28][13780/14090]	Time 0.771 (0.750)	Data 0.002 (0.001)	Loss 2.7449 (2.7414)	Prec@1 39.844 (34.555)	Prec@5 68.750 (64.971)
Epoch: [28][13790/14090]	Time 0.764 (0.750)	Data 0.001 (0.001)	Loss 2.6551 (2.7414)	Prec@1 35.156 (34.555)	Prec@5 64.844 (64.971)
Epoch: [28][13800/14090]	Time 0.729 (0.750)	Data 0.001 (0.001)	Loss 2.6373 (2.7414)	Prec@1 39.062 (34.555)	Prec@5 66.406 (64.971)
Epoch: [28][13810/14090]	Time 0.759 (0.750)	Data 0.001 (0.001)	Loss 2.7033 (2.7414)	Prec@1 36.719 (34.555)	Prec@5 67.188 (64.972)
Epoch: [28][13820/14090]	Time 0.752 (0.750)	Data 0.002 (0.001)	Loss 2.4953 (2.7414)	Prec@1 47.656 (34.557)	Prec@5 68.750 (64.973)
Epoch: [28][13830/14090]	Time 0.751 (0.750)	Data 0.001 (0.001)	Loss 2.7407 (2.7413)	Prec@1 33.594 (34.558)	Prec@5 60.156 (64.973)
Epoch: [28][13840/14090]	Time 0.752 (0.750)	Data 0.001 (0.001)	Loss 2.8013 (2.7414)	Prec@1 34.375 (34.557)	Prec@5 60.156 (64.972)
Epoch: [28][13850/14090]	Time 0.741 (0.750)	Data 0.001 (0.001)	Loss 3.0743 (2.7414)	Prec@1 31.250 (34.558)	Prec@5 60.938 (64.972)
Epoch: [28][13860/14090]	Time 0.739 (0.750)	Data 0.001 (0.001)	Loss 2.6123 (2.7414)	Prec@1 30.469 (34.558)	Prec@5 65.625 (64.973)
Epoch: [28][13870/14090]	Time 0.728 (0.750)	Data 0.001 (0.001)	Loss 2.8385 (2.7414)	Prec@1 28.125 (34.558)	Prec@5 67.188 (64.974)
Epoch: [28][13880/14090]	Time 0.779 (0.750)	Data 0.001 (0.001)	Loss 2.8859 (2.7414)	Prec@1 32.812 (34.558)	Prec@5 63.281 (64.974)
Epoch: [28][13890/14090]	Time 0.749 (0.750)	Data 0.002 (0.001)	Loss 2.8336 (2.7415)	Prec@1 32.031 (34.558)	Prec@5 60.156 (64.973)
Epoch: [28][13900/14090]	Time 0.770 (0.750)	Data 0.001 (0.001)	Loss 2.7143 (2.7415)	Prec@1 34.375 (34.557)	Prec@5 62.500 (64.972)
Epoch: [28][13910/14090]	Time 0.769 (0.750)	Data 0.001 (0.001)	Loss 2.7816 (2.7414)	Prec@1 34.375 (34.558)	Prec@5 64.844 (64.972)
Epoch: [28][13920/14090]	Time 0.746 (0.750)	Data 0.001 (0.001)	Loss 2.5125 (2.7415)	Prec@1 46.094 (34.558)	Prec@5 69.531 (64.972)
Epoch: [28][13930/14090]	Time 0.742 (0.750)	Data 0.001 (0.001)	Loss 2.6089 (2.7414)	Prec@1 37.500 (34.561)	Prec@5 66.406 (64.973)
Epoch: [28][13940/14090]	Time 0.779 (0.750)	Data 0.001 (0.001)	Loss 2.9247 (2.7414)	Prec@1 28.906 (34.560)	Prec@5 57.031 (64.972)
Epoch: [28][13950/14090]	Time 0.748 (0.750)	Data 0.001 (0.001)	Loss 2.7737 (2.7414)	Prec@1 31.250 (34.560)	Prec@5 58.594 (64.971)
Epoch: [28][13960/14090]	Time 0.730 (0.750)	Data 0.002 (0.001)	Loss 2.3760 (2.7415)	Prec@1 43.750 (34.560)	Prec@5 71.875 (64.972)
Epoch: [28][13970/14090]	Time 0.738 (0.750)	Data 0.001 (0.001)	Loss 2.7753 (2.7414)	Prec@1 33.594 (34.559)	Prec@5 62.500 (64.972)
Epoch: [28][13980/14090]	Time 0.735 (0.750)	Data 0.001 (0.001)	Loss 2.6278 (2.7414)	Prec@1 33.594 (34.560)	Prec@5 64.844 (64.972)
Epoch: [28][13990/14090]	Time 0.769 (0.750)	Data 0.001 (0.001)	Loss 2.6118 (2.7415)	Prec@1 35.156 (34.559)	Prec@5 67.188 (64.970)
Epoch: [28][14000/14090]	Time 0.741 (0.750)	Data 0.001 (0.001)	Loss 2.7735 (2.7414)	Prec@1 30.469 (34.558)	Prec@5 64.844 (64.972)
Epoch: [28][14010/14090]	Time 0.748 (0.750)	Data 0.001 (0.001)	Loss 2.5307 (2.7415)	Prec@1 37.500 (34.557)	Prec@5 67.188 (64.970)
Epoch: [28][14020/14090]	Time 0.738 (0.750)	Data 0.001 (0.001)	Loss 2.6809 (2.7414)	Prec@1 33.594 (34.558)	Prec@5 68.750 (64.970)
Epoch: [28][14030/14090]	Time 0.754 (0.750)	Data 0.002 (0.001)	Loss 2.8937 (2.7415)	Prec@1 35.156 (34.557)	Prec@5 60.938 (64.970)
Epoch: [28][14040/14090]	Time 0.762 (0.750)	Data 0.001 (0.001)	Loss 2.8296 (2.7415)	Prec@1 33.594 (34.555)	Prec@5 61.719 (64.968)
Epoch: [28][14050/14090]	Time 0.740 (0.750)	Data 0.001 (0.001)	Loss 2.6820 (2.7415)	Prec@1 32.812 (34.555)	Prec@5 70.312 (64.968)
Epoch: [28][14060/14090]	Time 0.732 (0.750)	Data 0.001 (0.001)	Loss 2.8495 (2.7415)	Prec@1 30.469 (34.555)	Prec@5 62.500 (64.967)
Epoch: [28][14070/14090]	Time 0.763 (0.750)	Data 0.001 (0.001)	Loss 2.9508 (2.7416)	Prec@1 30.469 (34.555)	Prec@5 58.594 (64.967)
Epoch: [28][14080/14090]	Time 0.745 (0.750)	Data 0.000 (0.001)	Loss 2.3830 (2.7416)	Prec@1 39.844 (34.555)	Prec@5 73.438 (64.968)
Test: [0/286]	Time 3.680 (3.680)	Loss 1.5990 (1.5990)	Prec@1 43.750 (43.750)	Prec@5 90.625 (90.625)
Test: [10/286]	Time 0.249 (0.638)	Loss 2.6566 (2.5670)	Prec@1 31.250 (36.648)	Prec@5 75.000 (72.372)
Test: [20/286]	Time 0.290 (0.481)	Loss 2.3819 (2.5297)	Prec@1 38.281 (37.128)	Prec@5 78.906 (72.470)
Test: [30/286]	Time 0.238 (0.428)	Loss 1.7141 (2.3621)	Prec@1 61.719 (41.104)	Prec@5 81.250 (74.118)
Test: [40/286]	Time 0.780 (0.413)	Loss 1.7171 (2.3771)	Prec@1 46.094 (40.568)	Prec@5 86.719 (73.418)
Test: [50/286]	Time 0.245 (0.398)	Loss 1.1097 (2.3350)	Prec@1 75.781 (41.406)	Prec@5 85.156 (74.173)
Test: [60/286]	Time 0.247 (0.386)	Loss 3.8424 (2.3424)	Prec@1 17.969 (41.803)	Prec@5 46.094 (73.284)
Test: [70/286]	Time 0.292 (0.377)	Loss 1.8661 (2.3095)	Prec@1 57.812 (42.716)	Prec@5 80.469 (73.889)
Test: [80/286]	Time 0.502 (0.372)	Loss 2.8829 (2.3580)	Prec@1 27.344 (41.483)	Prec@5 61.719 (72.984)
Test: [90/286]	Time 0.434 (0.371)	Loss 2.4600 (2.3529)	Prec@1 39.062 (41.432)	Prec@5 76.562 (73.249)
Test: [100/286]	Time 0.319 (0.367)	Loss 2.5295 (2.3842)	Prec@1 33.594 (40.579)	Prec@5 76.562 (73.004)
Test: [110/286]	Time 0.232 (0.363)	Loss 2.9693 (2.4013)	Prec@1 31.250 (40.132)	Prec@5 63.281 (72.663)
Test: [120/286]	Time 0.333 (0.362)	Loss 2.4961 (2.3725)	Prec@1 43.750 (40.870)	Prec@5 67.188 (73.160)
Test: [130/286]	Time 0.264 (0.361)	Loss 1.0124 (2.3536)	Prec@1 72.656 (41.359)	Prec@5 92.969 (73.551)
Test: [140/286]	Time 0.269 (0.359)	Loss 2.6794 (2.3380)	Prec@1 39.844 (41.816)	Prec@5 61.719 (73.853)
Test: [150/286]	Time 0.278 (0.357)	Loss 3.3284 (2.3375)	Prec@1 19.531 (41.551)	Prec@5 57.031 (73.996)
Test: [160/286]	Time 0.285 (0.359)	Loss 3.1857 (2.3332)	Prec@1 7.812 (41.494)	Prec@5 62.500 (74.093)
Test: [170/286]	Time 0.239 (0.357)	Loss 3.6459 (2.3416)	Prec@1 7.031 (41.224)	Prec@5 47.656 (73.808)
Test: [180/286]	Time 0.236 (0.356)	Loss 2.5991 (2.3613)	Prec@1 44.531 (40.849)	Prec@5 68.750 (73.511)
Test: [190/286]	Time 0.264 (0.355)	Loss 3.7445 (2.3924)	Prec@1 10.156 (40.294)	Prec@5 52.344 (72.938)
Test: [200/286]	Time 0.303 (0.356)	Loss 2.7128 (2.3869)	Prec@1 36.719 (40.559)	Prec@5 76.562 (73.057)
Test: [210/286]	Time 0.284 (0.355)	Loss 2.3107 (2.3969)	Prec@1 39.844 (40.292)	Prec@5 75.781 (72.834)
Test: [220/286]	Time 0.232 (0.353)	Loss 3.5186 (2.4057)	Prec@1 14.062 (40.211)	Prec@5 46.875 (72.639)
Test: [230/286]	Time 0.706 (0.354)	Loss 1.3181 (2.4076)	Prec@1 66.406 (40.185)	Prec@5 85.156 (72.497)
Test: [240/286]	Time 0.345 (0.354)	Loss 2.1979 (2.4014)	Prec@1 56.250 (40.489)	Prec@5 74.219 (72.614)
Test: [250/286]	Time 0.280 (0.353)	Loss 2.7372 (2.3920)	Prec@1 35.938 (40.641)	Prec@5 62.500 (72.874)
Test: [260/286]	Time 0.229 (0.351)	Loss 2.7994 (2.3814)	Prec@1 33.594 (40.811)	Prec@5 64.844 (73.072)
Test: [270/286]	Time 0.842 (0.353)	Loss 1.9030 (2.3766)	Prec@1 46.875 (40.879)	Prec@5 87.500 (73.221)
Test: [280/286]	Time 0.253 (0.352)	Loss 2.6317 (2.3568)	Prec@1 36.719 (41.420)	Prec@5 72.656 (73.535)
 * Prec@1 41.684 Prec@5 73.625
Epoch: [29][0/14090]	Time 5.227 (5.227)	Data 4.394 (4.394)	Loss 2.6824 (2.6824)	Prec@1 33.594 (33.594)	Prec@5 61.719 (61.719)
Epoch: [29][10/14090]	Time 0.756 (1.135)	Data 0.001 (0.400)	Loss 3.0311 (2.7853)	Prec@1 31.250 (32.457)	Prec@5 61.719 (63.281)
Epoch: [29][20/14090]	Time 0.731 (0.945)	Data 0.001 (0.210)	Loss 2.8557 (2.7619)	Prec@1 33.594 (33.705)	Prec@5 62.500 (63.802)
Epoch: [29][30/14090]	Time 0.744 (0.878)	Data 0.001 (0.143)	Loss 2.5220 (2.7590)	Prec@1 31.250 (33.594)	Prec@5 71.094 (64.012)
Epoch: [29][40/14090]	Time 0.782 (0.846)	Data 0.001 (0.108)	Loss 2.5559 (2.7419)	Prec@1 35.938 (34.413)	Prec@5 71.094 (64.405)
Epoch: [29][50/14090]	Time 0.754 (0.827)	Data 0.001 (0.087)	Loss 2.6300 (2.7363)	Prec@1 35.156 (34.574)	Prec@5 67.188 (64.767)
Epoch: [29][60/14090]	Time 0.752 (0.814)	Data 0.001 (0.073)	Loss 2.7228 (2.7246)	Prec@1 34.375 (34.734)	Prec@5 69.531 (65.138)
Epoch: [29][70/14090]	Time 0.774 (0.805)	Data 0.002 (0.063)	Loss 2.5853 (2.7172)	Prec@1 36.719 (34.903)	Prec@5 71.875 (65.460)
Epoch: [29][80/14090]	Time 0.750 (0.798)	Data 0.001 (0.055)	Loss 2.5900 (2.7229)	Prec@1 38.281 (34.877)	Prec@5 64.844 (65.394)
Epoch: [29][90/14090]	Time 0.763 (0.793)	Data 0.001 (0.049)	Loss 2.4611 (2.7184)	Prec@1 33.594 (34.890)	Prec@5 67.969 (65.565)
Epoch: [29][100/14090]	Time 0.766 (0.789)	Data 0.001 (0.044)	Loss 2.8333 (2.7172)	Prec@1 29.688 (34.940)	Prec@5 66.406 (65.702)
Epoch: [29][110/14090]	Time 0.731 (0.786)	Data 0.001 (0.041)	Loss 2.6796 (2.7159)	Prec@1 40.625 (35.114)	Prec@5 66.406 (65.646)
Epoch: [29][120/14090]	Time 0.733 (0.783)	Data 0.001 (0.037)	Loss 2.3864 (2.7069)	Prec@1 45.312 (35.298)	Prec@5 74.219 (65.774)
Epoch: [29][130/14090]	Time 0.769 (0.780)	Data 0.001 (0.035)	Loss 2.5691 (2.6976)	Prec@1 37.500 (35.568)	Prec@5 67.188 (65.881)
Epoch: [29][140/14090]	Time 0.734 (0.778)	Data 0.002 (0.032)	Loss 2.4469 (2.6949)	Prec@1 43.750 (35.583)	Prec@5 70.312 (66.013)
Epoch: [29][150/14090]	Time 0.777 (0.776)	Data 0.001 (0.030)	Loss 2.9962 (2.6991)	Prec@1 29.688 (35.570)	Prec@5 57.812 (65.966)
Epoch: [29][160/14090]	Time 0.752 (0.775)	Data 0.001 (0.028)	Loss 2.9673 (2.7013)	Prec@1 30.469 (35.569)	Prec@5 59.375 (65.877)
Epoch: [29][170/14090]	Time 0.750 (0.774)	Data 0.001 (0.027)	Loss 2.8877 (2.7017)	Prec@1 32.812 (35.535)	Prec@5 57.812 (65.808)
Epoch: [29][180/14090]	Time 0.743 (0.773)	Data 0.001 (0.025)	Loss 2.7274 (2.6972)	Prec@1 35.156 (35.532)	Prec@5 59.375 (65.802)
Epoch: [29][190/14090]	Time 0.749 (0.772)	Data 0.001 (0.024)	Loss 2.4637 (2.6982)	Prec@1 38.281 (35.528)	Prec@5 70.312 (65.813)
Epoch: [29][200/14090]	Time 0.780 (0.771)	Data 0.001 (0.023)	Loss 2.8744 (2.6928)	Prec@1 26.562 (35.584)	Prec@5 64.062 (65.870)
Epoch: [29][210/14090]	Time 0.751 (0.770)	Data 0.002 (0.022)	Loss 2.6395 (2.6922)	Prec@1 37.500 (35.515)	Prec@5 70.312 (65.884)
Epoch: [29][220/14090]	Time 0.722 (0.769)	Data 0.001 (0.021)	Loss 2.6444 (2.6914)	Prec@1 37.500 (35.605)	Prec@5 66.406 (65.904)
Epoch: [29][230/14090]	Time 0.772 (0.768)	Data 0.001 (0.020)	Loss 2.4216 (2.6899)	Prec@1 42.188 (35.609)	Prec@5 67.969 (65.909)
Epoch: [29][240/14090]	Time 0.774 (0.767)	Data 0.001 (0.019)	Loss 2.6523 (2.6902)	Prec@1 40.625 (35.467)	Prec@5 66.406 (65.845)
Epoch: [29][250/14090]	Time 0.748 (0.767)	Data 0.001 (0.019)	Loss 2.8207 (2.6918)	Prec@1 32.031 (35.468)	Prec@5 60.156 (65.899)
Epoch: [29][260/14090]	Time 0.731 (0.766)	Data 0.001 (0.018)	Loss 2.7480 (2.6931)	Prec@1 35.156 (35.447)	Prec@5 59.375 (65.844)
Epoch: [29][270/14090]	Time 0.754 (0.766)	Data 0.001 (0.017)	Loss 2.5142 (2.6934)	Prec@1 35.156 (35.442)	Prec@5 67.969 (65.850)
Epoch: [29][280/14090]	Time 0.725 (0.765)	Data 0.002 (0.017)	Loss 2.8292 (2.6945)	Prec@1 26.562 (35.404)	Prec@5 64.844 (65.834)
Epoch: [29][290/14090]	Time 0.784 (0.765)	Data 0.001 (0.016)	Loss 2.8219 (2.6966)	Prec@1 33.594 (35.382)	Prec@5 63.281 (65.802)
Epoch: [29][300/14090]	Time 0.736 (0.764)	Data 0.001 (0.016)	Loss 2.9712 (2.7016)	Prec@1 31.250 (35.307)	Prec@5 60.156 (65.674)
Epoch: [29][310/14090]	Time 0.736 (0.764)	Data 0.001 (0.015)	Loss 2.9338 (2.7032)	Prec@1 36.719 (35.317)	Prec@5 60.156 (65.630)
Epoch: [29][320/14090]	Time 0.747 (0.763)	Data 0.001 (0.015)	Loss 2.5895 (2.7061)	Prec@1 39.844 (35.290)	Prec@5 71.875 (65.588)
Epoch: [29][330/14090]	Time 0.760 (0.763)	Data 0.001 (0.014)	Loss 2.7269 (2.7059)	Prec@1 35.156 (35.326)	Prec@5 64.844 (65.540)
Epoch: [29][340/14090]	Time 0.730 (0.762)	Data 0.001 (0.014)	Loss 2.4730 (2.7064)	Prec@1 40.625 (35.266)	Prec@5 71.875 (65.508)
Epoch: [29][350/14090]	Time 0.766 (0.762)	Data 0.002 (0.014)	Loss 2.6334 (2.7080)	Prec@1 39.844 (35.230)	Prec@5 65.625 (65.543)
Epoch: [29][360/14090]	Time 0.756 (0.762)	Data 0.001 (0.013)	Loss 2.4008 (2.7048)	Prec@1 39.844 (35.277)	Prec@5 73.438 (65.634)
Epoch: [29][370/14090]	Time 0.756 (0.761)	Data 0.001 (0.013)	Loss 2.8700 (2.7057)	Prec@1 36.719 (35.302)	Prec@5 58.594 (65.583)
Epoch: [29][380/14090]	Time 0.757 (0.761)	Data 0.001 (0.013)	Loss 2.4438 (2.7051)	Prec@1 39.844 (35.296)	Prec@5 71.875 (65.619)
Epoch: [29][390/14090]	Time 0.768 (0.761)	Data 0.001 (0.012)	Loss 2.6340 (2.7054)	Prec@1 34.375 (35.262)	Prec@5 65.625 (65.597)
Epoch: [29][400/14090]	Time 0.773 (0.761)	Data 0.001 (0.012)	Loss 2.8956 (2.7056)	Prec@1 28.906 (35.228)	Prec@5 63.281 (65.578)
Epoch: [29][410/14090]	Time 0.760 (0.761)	Data 0.001 (0.012)	Loss 2.9068 (2.7085)	Prec@1 31.250 (35.192)	Prec@5 64.062 (65.526)
Epoch: [29][420/14090]	Time 0.730 (0.760)	Data 0.002 (0.011)	Loss 2.7566 (2.7092)	Prec@1 35.938 (35.182)	Prec@5 64.062 (65.477)
Epoch: [29][430/14090]	Time 0.766 (0.760)	Data 0.001 (0.011)	Loss 2.7645 (2.7098)	Prec@1 32.031 (35.185)	Prec@5 67.969 (65.480)
Epoch: [29][440/14090]	Time 0.748 (0.760)	Data 0.002 (0.011)	Loss 2.5063 (2.7113)	Prec@1 39.062 (35.146)	Prec@5 71.094 (65.458)
Epoch: [29][450/14090]	Time 0.734 (0.759)	Data 0.001 (0.011)	Loss 2.8408 (2.7124)	Prec@1 32.812 (35.113)	Prec@5 68.750 (65.467)
Epoch: [29][460/14090]	Time 0.729 (0.759)	Data 0.001 (0.011)	Loss 2.7959 (2.7138)	Prec@1 28.906 (35.107)	Prec@5 64.844 (65.423)
Epoch: [29][470/14090]	Time 0.744 (0.759)	Data 0.001 (0.010)	Loss 2.8735 (2.7161)	Prec@1 27.344 (35.062)	Prec@5 61.719 (65.381)
Epoch: [29][480/14090]	Time 0.745 (0.759)	Data 0.001 (0.010)	Loss 2.7707 (2.7166)	Prec@1 33.594 (35.025)	Prec@5 66.406 (65.389)
Epoch: [29][490/14090]	Time 0.739 (0.759)	Data 0.002 (0.010)	Loss 2.9448 (2.7151)	Prec@1 28.906 (35.064)	Prec@5 62.500 (65.437)
Epoch: [29][500/14090]	Time 0.747 (0.759)	Data 0.001 (0.010)	Loss 2.7316 (2.7160)	Prec@1 39.062 (35.053)	Prec@5 64.844 (65.424)
Epoch: [29][510/14090]	Time 0.741 (0.758)	Data 0.001 (0.010)	Loss 2.6768 (2.7168)	Prec@1 32.031 (35.048)	Prec@5 64.062 (65.394)
Epoch: [29][520/14090]	Time 0.765 (0.758)	Data 0.001 (0.009)	Loss 2.5522 (2.7165)	Prec@1 37.500 (35.017)	Prec@5 66.406 (65.399)
Epoch: [29][530/14090]	Time 0.742 (0.758)	Data 0.001 (0.009)	Loss 2.4292 (2.7146)	Prec@1 35.156 (35.071)	Prec@5 72.656 (65.446)
Epoch: [29][540/14090]	Time 0.748 (0.758)	Data 0.001 (0.009)	Loss 2.7217 (2.7167)	Prec@1 35.156 (35.072)	Prec@5 67.969 (65.403)
Epoch: [29][550/14090]	Time 0.756 (0.758)	Data 0.001 (0.009)	Loss 2.9802 (2.7179)	Prec@1 28.906 (35.061)	Prec@5 59.375 (65.397)
Epoch: [29][560/14090]	Time 0.771 (0.758)	Data 0.002 (0.009)	Loss 3.1621 (2.7164)	Prec@1 25.781 (35.082)	Prec@5 52.344 (65.430)
Epoch: [29][570/14090]	Time 0.743 (0.758)	Data 0.001 (0.009)	Loss 2.6309 (2.7179)	Prec@1 38.281 (35.069)	Prec@5 65.625 (65.399)
Epoch: [29][580/14090]	Time 0.757 (0.758)	Data 0.001 (0.009)	Loss 2.9172 (2.7177)	Prec@1 34.375 (35.068)	Prec@5 61.719 (65.423)
Epoch: [29][590/14090]	Time 0.734 (0.757)	Data 0.001 (0.008)	Loss 2.8742 (2.7181)	Prec@1 30.469 (35.064)	Prec@5 61.719 (65.411)
Epoch: [29][600/14090]	Time 0.783 (0.757)	Data 0.001 (0.008)	Loss 2.7585 (2.7184)	Prec@1 35.156 (35.064)	Prec@5 60.938 (65.394)
Epoch: [29][610/14090]	Time 0.779 (0.757)	Data 0.001 (0.008)	Loss 2.8097 (2.7184)	Prec@1 34.375 (35.073)	Prec@5 65.625 (65.381)
Epoch: [29][620/14090]	Time 0.746 (0.757)	Data 0.001 (0.008)	Loss 2.9887 (2.7193)	Prec@1 28.906 (35.077)	Prec@5 60.156 (65.373)
Epoch: [29][630/14090]	Time 0.738 (0.757)	Data 0.002 (0.008)	Loss 2.8590 (2.7203)	Prec@1 33.594 (35.060)	Prec@5 64.062 (65.351)
Epoch: [29][640/14090]	Time 0.746 (0.757)	Data 0.001 (0.008)	Loss 2.4399 (2.7210)	Prec@1 35.938 (35.061)	Prec@5 72.656 (65.337)
Epoch: [29][650/14090]	Time 0.745 (0.757)	Data 0.001 (0.008)	Loss 2.5326 (2.7208)	Prec@1 34.375 (35.069)	Prec@5 66.406 (65.321)
Epoch: [29][660/14090]	Time 0.726 (0.757)	Data 0.001 (0.008)	Loss 2.4600 (2.7204)	Prec@1 36.719 (35.066)	Prec@5 64.844 (65.304)
Epoch: [29][670/14090]	Time 0.764 (0.757)	Data 0.001 (0.008)	Loss 2.6899 (2.7208)	Prec@1 35.938 (35.047)	Prec@5 63.281 (65.300)
Epoch: [29][680/14090]	Time 0.752 (0.757)	Data 0.001 (0.007)	Loss 2.8757 (2.7204)	Prec@1 32.812 (35.058)	Prec@5 63.281 (65.342)
Epoch: [29][690/14090]	Time 0.738 (0.757)	Data 0.001 (0.007)	Loss 2.7359 (2.7209)	Prec@1 36.719 (35.047)	Prec@5 67.188 (65.327)
Epoch: [29][700/14090]	Time 0.745 (0.757)	Data 0.001 (0.007)	Loss 2.7291 (2.7199)	Prec@1 33.594 (35.050)	Prec@5 65.625 (65.341)
Epoch: [29][710/14090]	Time 0.748 (0.756)	Data 0.001 (0.007)	Loss 2.8881 (2.7210)	Prec@1 32.812 (35.033)	Prec@5 61.719 (65.317)
Epoch: [29][720/14090]	Time 0.730 (0.756)	Data 0.001 (0.007)	Loss 2.6335 (2.7217)	Prec@1 38.281 (35.009)	Prec@5 67.969 (65.303)
Epoch: [29][730/14090]	Time 0.775 (0.756)	Data 0.001 (0.007)	Loss 2.5253 (2.7207)	Prec@1 38.281 (35.050)	Prec@5 71.094 (65.316)
Epoch: [29][740/14090]	Time 0.750 (0.756)	Data 0.001 (0.007)	Loss 2.7095 (2.7208)	Prec@1 32.812 (35.035)	Prec@5 67.969 (65.321)
Epoch: [29][750/14090]	Time 0.735 (0.756)	Data 0.001 (0.007)	Loss 2.8311 (2.7222)	Prec@1 33.594 (35.029)	Prec@5 60.156 (65.263)
Epoch: [29][760/14090]	Time 0.756 (0.756)	Data 0.001 (0.007)	Loss 2.6949 (2.7220)	Prec@1 32.812 (35.030)	Prec@5 62.500 (65.264)
Epoch: [29][770/14090]	Time 0.740 (0.756)	Data 0.002 (0.007)	Loss 2.8342 (2.7216)	Prec@1 35.156 (35.058)	Prec@5 65.625 (65.274)
Epoch: [29][780/14090]	Time 0.747 (0.756)	Data 0.001 (0.007)	Loss 2.4751 (2.7221)	Prec@1 39.062 (35.073)	Prec@5 71.094 (65.268)
Epoch: [29][790/14090]	Time 0.731 (0.756)	Data 0.001 (0.007)	Loss 2.6506 (2.7220)	Prec@1 37.500 (35.072)	Prec@5 62.500 (65.262)
Epoch: [29][800/14090]	Time 0.740 (0.756)	Data 0.001 (0.007)	Loss 2.3905 (2.7217)	Prec@1 46.094 (35.077)	Prec@5 76.562 (65.289)
Epoch: [29][810/14090]	Time 0.758 (0.756)	Data 0.001 (0.006)	Loss 2.7548 (2.7214)	Prec@1 35.938 (35.061)	Prec@5 61.719 (65.297)
Epoch: [29][820/14090]	Time 0.774 (0.756)	Data 0.001 (0.006)	Loss 2.7576 (2.7218)	Prec@1 36.719 (35.052)	Prec@5 71.875 (65.300)
Epoch: [29][830/14090]	Time 0.757 (0.756)	Data 0.001 (0.006)	Loss 2.5294 (2.7219)	Prec@1 35.156 (35.038)	Prec@5 67.969 (65.295)
Epoch: [29][840/14090]	Time 0.768 (0.756)	Data 0.002 (0.006)	Loss 2.5254 (2.7220)	Prec@1 37.500 (35.016)	Prec@5 68.750 (65.311)
Epoch: [29][850/14090]	Time 0.756 (0.755)	Data 0.001 (0.006)	Loss 2.8220 (2.7233)	Prec@1 35.156 (34.972)	Prec@5 62.500 (65.292)
Epoch: [29][860/14090]	Time 0.727 (0.755)	Data 0.001 (0.006)	Loss 2.7676 (2.7236)	Prec@1 35.156 (34.948)	Prec@5 64.062 (65.295)
Epoch: [29][870/14090]	Time 0.774 (0.755)	Data 0.001 (0.006)	Loss 2.7199 (2.7239)	Prec@1 32.812 (34.935)	Prec@5 69.531 (65.308)
Epoch: [29][880/14090]	Time 0.723 (0.755)	Data 0.001 (0.006)	Loss 2.5748 (2.7239)	Prec@1 37.500 (34.937)	Prec@5 67.969 (65.306)
Epoch: [29][890/14090]	Time 0.775 (0.755)	Data 0.001 (0.006)	Loss 3.2594 (2.7249)	Prec@1 29.688 (34.914)	Prec@5 59.375 (65.281)
Epoch: [29][900/14090]	Time 0.737 (0.755)	Data 0.001 (0.006)	Loss 2.6935 (2.7253)	Prec@1 31.250 (34.891)	Prec@5 67.188 (65.275)
Epoch: [29][910/14090]	Time 0.751 (0.755)	Data 0.002 (0.006)	Loss 2.6574 (2.7247)	Prec@1 34.375 (34.883)	Prec@5 67.969 (65.280)
Epoch: [29][920/14090]	Time 0.740 (0.755)	Data 0.001 (0.006)	Loss 2.7445 (2.7256)	Prec@1 33.594 (34.872)	Prec@5 66.406 (65.274)
Epoch: [29][930/14090]	Time 0.737 (0.755)	Data 0.001 (0.006)	Loss 2.7611 (2.7251)	Prec@1 34.375 (34.878)	Prec@5 60.156 (65.276)
Epoch: [29][940/14090]	Time 0.767 (0.755)	Data 0.001 (0.006)	Loss 2.8423 (2.7258)	Prec@1 31.250 (34.876)	Prec@5 64.062 (65.255)
Epoch: [29][950/14090]	Time 0.749 (0.755)	Data 0.001 (0.006)	Loss 2.9474 (2.7258)	Prec@1 30.469 (34.887)	Prec@5 59.375 (65.268)
Epoch: [29][960/14090]	Time 0.740 (0.755)	Data 0.001 (0.006)	Loss 2.4906 (2.7254)	Prec@1 40.625 (34.869)	Prec@5 66.406 (65.279)
Epoch: [29][970/14090]	Time 0.781 (0.755)	Data 0.001 (0.006)	Loss 2.6715 (2.7251)	Prec@1 30.469 (34.870)	Prec@5 64.062 (65.271)
Epoch: [29][980/14090]	Time 0.751 (0.755)	Data 0.002 (0.006)	Loss 2.4378 (2.7233)	Prec@1 36.719 (34.901)	Prec@5 70.312 (65.315)
Epoch: [29][990/14090]	Time 0.765 (0.755)	Data 0.001 (0.005)	Loss 2.8680 (2.7247)	Prec@1 28.906 (34.884)	Prec@5 61.719 (65.280)
Epoch: [29][1000/14090]	Time 0.758 (0.755)	Data 0.001 (0.005)	Loss 2.7871 (2.7243)	Prec@1 34.375 (34.885)	Prec@5 65.625 (65.280)
Epoch: [29][1010/14090]	Time 0.732 (0.755)	Data 0.001 (0.005)	Loss 3.0416 (2.7251)	Prec@1 29.688 (34.873)	Prec@5 53.125 (65.264)
Epoch: [29][1020/14090]	Time 0.734 (0.754)	Data 0.001 (0.005)	Loss 2.5998 (2.7249)	Prec@1 36.719 (34.866)	Prec@5 63.281 (65.268)
Epoch: [29][1030/14090]	Time 0.731 (0.754)	Data 0.001 (0.005)	Loss 2.6093 (2.7249)	Prec@1 38.281 (34.861)	Prec@5 70.312 (65.292)
Epoch: [29][1040/14090]	Time 0.729 (0.754)	Data 0.001 (0.005)	Loss 2.7360 (2.7249)	Prec@1 37.500 (34.861)	Prec@5 67.188 (65.297)
Epoch: [29][1050/14090]	Time 0.784 (0.754)	Data 0.002 (0.005)	Loss 2.9476 (2.7256)	Prec@1 30.469 (34.857)	Prec@5 57.812 (65.283)
Epoch: [29][1060/14090]	Time 0.767 (0.754)	Data 0.001 (0.005)	Loss 2.8396 (2.7254)	Prec@1 35.938 (34.870)	Prec@5 64.062 (65.285)
Epoch: [29][1070/14090]	Time 0.735 (0.754)	Data 0.001 (0.005)	Loss 2.7946 (2.7255)	Prec@1 32.031 (34.856)	Prec@5 61.719 (65.286)
Epoch: [29][1080/14090]	Time 0.772 (0.754)	Data 0.001 (0.005)	Loss 2.7524 (2.7254)	Prec@1 38.281 (34.857)	Prec@5 64.844 (65.293)
Epoch: [29][1090/14090]	Time 0.726 (0.754)	Data 0.001 (0.005)	Loss 2.6661 (2.7256)	Prec@1 37.500 (34.862)	Prec@5 67.969 (65.296)
Epoch: [29][1100/14090]	Time 0.731 (0.754)	Data 0.001 (0.005)	Loss 2.4132 (2.7255)	Prec@1 42.969 (34.855)	Prec@5 71.875 (65.297)
Epoch: [29][1110/14090]	Time 0.729 (0.754)	Data 0.001 (0.005)	Loss 2.7221 (2.7254)	Prec@1 31.250 (34.846)	Prec@5 62.500 (65.302)
Epoch: [29][1120/14090]	Time 0.763 (0.754)	Data 0.002 (0.005)	Loss 2.2898 (2.7249)	Prec@1 38.281 (34.852)	Prec@5 75.000 (65.296)
Epoch: [29][1130/14090]	Time 0.755 (0.754)	Data 0.001 (0.005)	Loss 2.8739 (2.7253)	Prec@1 28.125 (34.840)	Prec@5 61.719 (65.284)
Epoch: [29][1140/14090]	Time 0.728 (0.754)	Data 0.001 (0.005)	Loss 2.7621 (2.7254)	Prec@1 34.375 (34.847)	Prec@5 64.062 (65.292)
Epoch: [29][1150/14090]	Time 0.764 (0.754)	Data 0.001 (0.005)	Loss 2.7963 (2.7249)	Prec@1 36.719 (34.852)	Prec@5 61.719 (65.296)
Epoch: [29][1160/14090]	Time 0.750 (0.754)	Data 0.001 (0.005)	Loss 2.7844 (2.7246)	Prec@1 36.719 (34.852)	Prec@5 64.062 (65.294)
Epoch: [29][1170/14090]	Time 0.759 (0.754)	Data 0.001 (0.005)	Loss 2.5854 (2.7248)	Prec@1 39.062 (34.851)	Prec@5 69.531 (65.301)
Epoch: [29][1180/14090]	Time 0.753 (0.754)	Data 0.001 (0.005)	Loss 2.7672 (2.7248)	Prec@1 40.625 (34.866)	Prec@5 64.062 (65.302)
Epoch: [29][1190/14090]	Time 0.749 (0.754)	Data 0.002 (0.005)	Loss 2.6610 (2.7255)	Prec@1 35.156 (34.850)	Prec@5 65.625 (65.276)
Epoch: [29][1200/14090]	Time 0.762 (0.754)	Data 0.001 (0.005)	Loss 2.7605 (2.7259)	Prec@1 37.500 (34.845)	Prec@5 64.062 (65.276)
Epoch: [29][1210/14090]	Time 0.750 (0.754)	Data 0.001 (0.005)	Loss 2.8279 (2.7255)	Prec@1 35.938 (34.842)	Prec@5 62.500 (65.277)
Epoch: [29][1220/14090]	Time 0.728 (0.754)	Data 0.001 (0.005)	Loss 2.6799 (2.7260)	Prec@1 36.719 (34.829)	Prec@5 67.188 (65.268)
Epoch: [29][1230/14090]	Time 0.731 (0.754)	Data 0.001 (0.005)	Loss 2.4725 (2.7258)	Prec@1 42.969 (34.833)	Prec@5 66.406 (65.261)
Epoch: [29][1240/14090]	Time 0.808 (0.754)	Data 0.001 (0.005)	Loss 2.5500 (2.7260)	Prec@1 40.625 (34.838)	Prec@5 66.406 (65.250)
Epoch: [29][1250/14090]	Time 0.791 (0.754)	Data 0.001 (0.005)	Loss 2.6292 (2.7267)	Prec@1 39.062 (34.839)	Prec@5 67.188 (65.236)
Epoch: [29][1260/14090]	Time 0.744 (0.754)	Data 0.002 (0.005)	Loss 2.6635 (2.7262)	Prec@1 31.250 (34.843)	Prec@5 68.750 (65.248)
Epoch: [29][1270/14090]	Time 0.741 (0.754)	Data 0.001 (0.004)	Loss 2.5872 (2.7261)	Prec@1 37.500 (34.850)	Prec@5 64.844 (65.246)
Epoch: [29][1280/14090]	Time 0.741 (0.754)	Data 0.001 (0.004)	Loss 2.7480 (2.7257)	Prec@1 35.156 (34.848)	Prec@5 60.156 (65.251)
Epoch: [29][1290/14090]	Time 0.731 (0.754)	Data 0.001 (0.004)	Loss 2.6680 (2.7259)	Prec@1 37.500 (34.837)	Prec@5 66.406 (65.253)
Epoch: [29][1300/14090]	Time 0.767 (0.754)	Data 0.001 (0.004)	Loss 2.4858 (2.7263)	Prec@1 39.844 (34.842)	Prec@5 68.750 (65.254)
Epoch: [29][1310/14090]	Time 0.746 (0.754)	Data 0.001 (0.004)	Loss 2.7142 (2.7265)	Prec@1 33.594 (34.845)	Prec@5 62.500 (65.251)
Epoch: [29][1320/14090]	Time 0.732 (0.754)	Data 0.001 (0.004)	Loss 2.9859 (2.7270)	Prec@1 28.906 (34.827)	Prec@5 53.906 (65.251)
Epoch: [29][1330/14090]	Time 0.783 (0.754)	Data 0.002 (0.004)	Loss 2.8572 (2.7268)	Prec@1 25.000 (34.830)	Prec@5 64.062 (65.243)
Epoch: [29][1340/14090]	Time 0.726 (0.754)	Data 0.001 (0.004)	Loss 2.6859 (2.7268)	Prec@1 34.375 (34.822)	Prec@5 66.406 (65.243)
Epoch: [29][1350/14090]	Time 0.727 (0.753)	Data 0.001 (0.004)	Loss 2.4941 (2.7267)	Prec@1 39.844 (34.830)	Prec@5 67.969 (65.246)
Epoch: [29][1360/14090]	Time 0.776 (0.753)	Data 0.001 (0.004)	Loss 2.7028 (2.7264)	Prec@1 32.031 (34.827)	Prec@5 64.062 (65.252)
Epoch: [29][1370/14090]	Time 0.762 (0.753)	Data 0.001 (0.004)	Loss 2.8417 (2.7267)	Prec@1 27.344 (34.818)	Prec@5 64.062 (65.242)
Epoch: [29][1380/14090]	Time 0.751 (0.753)	Data 0.001 (0.004)	Loss 2.7358 (2.7272)	Prec@1 38.281 (34.819)	Prec@5 60.938 (65.236)
Epoch: [29][1390/14090]	Time 0.751 (0.753)	Data 0.001 (0.004)	Loss 2.4674 (2.7267)	Prec@1 40.625 (34.823)	Prec@5 71.875 (65.242)
Epoch: [29][1400/14090]	Time 0.745 (0.753)	Data 0.002 (0.004)	Loss 2.7760 (2.7261)	Prec@1 29.688 (34.829)	Prec@5 60.938 (65.249)
Epoch: [29][1410/14090]	Time 0.780 (0.753)	Data 0.001 (0.004)	Loss 2.9430 (2.7266)	Prec@1 34.375 (34.817)	Prec@5 58.594 (65.233)
Epoch: [29][1420/14090]	Time 0.744 (0.753)	Data 0.001 (0.004)	Loss 2.7590 (2.7264)	Prec@1 34.375 (34.832)	Prec@5 63.281 (65.233)
Epoch: [29][1430/14090]	Time 0.744 (0.753)	Data 0.001 (0.004)	Loss 2.6653 (2.7266)	Prec@1 36.719 (34.835)	Prec@5 70.312 (65.230)
Epoch: [29][1440/14090]	Time 0.744 (0.753)	Data 0.001 (0.004)	Loss 2.5643 (2.7267)	Prec@1 39.062 (34.837)	Prec@5 67.188 (65.232)
Epoch: [29][1450/14090]	Time 0.799 (0.753)	Data 0.001 (0.004)	Loss 2.7089 (2.7265)	Prec@1 39.062 (34.839)	Prec@5 64.062 (65.251)
Epoch: [29][1460/14090]	Time 0.773 (0.753)	Data 0.001 (0.004)	Loss 2.6899 (2.7258)	Prec@1 38.281 (34.850)	Prec@5 69.531 (65.268)
Epoch: [29][1470/14090]	Time 0.762 (0.753)	Data 0.003 (0.004)	Loss 2.7862 (2.7259)	Prec@1 39.062 (34.844)	Prec@5 64.062 (65.272)
Epoch: [29][1480/14090]	Time 0.749 (0.753)	Data 0.001 (0.004)	Loss 3.0976 (2.7258)	Prec@1 32.031 (34.848)	Prec@5 57.812 (65.277)
Epoch: [29][1490/14090]	Time 0.752 (0.753)	Data 0.001 (0.004)	Loss 2.6934 (2.7255)	Prec@1 37.500 (34.851)	Prec@5 64.844 (65.286)
Epoch: [29][1500/14090]	Time 0.748 (0.753)	Data 0.001 (0.004)	Loss 2.6186 (2.7256)	Prec@1 38.281 (34.852)	Prec@5 64.062 (65.283)
Epoch: [29][1510/14090]	Time 0.764 (0.753)	Data 0.002 (0.004)	Loss 2.4369 (2.7259)	Prec@1 42.188 (34.847)	Prec@5 71.094 (65.277)
Epoch: [29][1520/14090]	Time 0.776 (0.753)	Data 0.001 (0.004)	Loss 2.7263 (2.7262)	Prec@1 35.938 (34.838)	Prec@5 69.531 (65.275)
Epoch: [29][1530/14090]	Time 0.737 (0.753)	Data 0.001 (0.004)	Loss 2.6713 (2.7265)	Prec@1 39.844 (34.829)	Prec@5 69.531 (65.281)
Epoch: [29][1540/14090]	Time 0.758 (0.753)	Data 0.002 (0.004)	Loss 2.4957 (2.7260)	Prec@1 38.281 (34.839)	Prec@5 71.094 (65.294)
Epoch: [29][1550/14090]	Time 0.764 (0.753)	Data 0.001 (0.004)	Loss 2.6173 (2.7260)	Prec@1 33.594 (34.839)	Prec@5 68.750 (65.298)
Epoch: [29][1560/14090]	Time 0.742 (0.753)	Data 0.001 (0.004)	Loss 2.6342 (2.7250)	Prec@1 33.594 (34.857)	Prec@5 64.844 (65.315)
Epoch: [29][1570/14090]	Time 0.756 (0.753)	Data 0.001 (0.004)	Loss 2.8248 (2.7254)	Prec@1 30.469 (34.849)	Prec@5 66.406 (65.314)
Epoch: [29][1580/14090]	Time 0.733 (0.753)	Data 0.001 (0.004)	Loss 2.6839 (2.7253)	Prec@1 34.375 (34.855)	Prec@5 71.094 (65.315)
Epoch: [29][1590/14090]	Time 0.769 (0.753)	Data 0.001 (0.004)	Loss 3.0144 (2.7252)	Prec@1 28.125 (34.857)	Prec@5 58.594 (65.320)
Epoch: [29][1600/14090]	Time 0.764 (0.753)	Data 0.001 (0.004)	Loss 2.5027 (2.7251)	Prec@1 39.844 (34.851)	Prec@5 71.094 (65.319)
Epoch: [29][1610/14090]	Time 0.732 (0.753)	Data 0.002 (0.004)	Loss 2.5696 (2.7247)	Prec@1 32.031 (34.860)	Prec@5 74.219 (65.331)
Epoch: [29][1620/14090]	Time 0.754 (0.753)	Data 0.001 (0.004)	Loss 2.7198 (2.7256)	Prec@1 39.062 (34.853)	Prec@5 65.625 (65.313)
Epoch: [29][1630/14090]	Time 0.743 (0.753)	Data 0.001 (0.004)	Loss 2.5488 (2.7255)	Prec@1 35.156 (34.860)	Prec@5 69.531 (65.324)
Epoch: [29][1640/14090]	Time 0.748 (0.753)	Data 0.001 (0.004)	Loss 2.7516 (2.7249)	Prec@1 36.719 (34.880)	Prec@5 64.062 (65.324)
Epoch: [29][1650/14090]	Time 0.748 (0.753)	Data 0.001 (0.004)	Loss 3.0852 (2.7253)	Prec@1 25.781 (34.869)	Prec@5 56.250 (65.316)
Epoch: [29][1660/14090]	Time 0.759 (0.753)	Data 0.001 (0.004)	Loss 2.6302 (2.7244)	Prec@1 32.812 (34.882)	Prec@5 69.531 (65.340)
Epoch: [29][1670/14090]	Time 0.733 (0.753)	Data 0.001 (0.004)	Loss 2.9510 (2.7244)	Prec@1 32.031 (34.897)	Prec@5 62.500 (65.337)
Epoch: [29][1680/14090]	Time 0.752 (0.753)	Data 0.002 (0.004)	Loss 2.6971 (2.7242)	Prec@1 33.594 (34.910)	Prec@5 67.969 (65.343)
Epoch: [29][1690/14090]	Time 0.767 (0.753)	Data 0.005 (0.004)	Loss 2.3962 (2.7240)	Prec@1 37.500 (34.918)	Prec@5 72.656 (65.347)
Epoch: [29][1700/14090]	Time 0.755 (0.753)	Data 0.001 (0.004)	Loss 2.7773 (2.7237)	Prec@1 40.625 (34.922)	Prec@5 60.938 (65.354)
Epoch: [29][1710/14090]	Time 0.730 (0.753)	Data 0.001 (0.004)	Loss 2.7864 (2.7236)	Prec@1 29.688 (34.917)	Prec@5 60.938 (65.356)
Epoch: [29][1720/14090]	Time 0.752 (0.753)	Data 0.001 (0.004)	Loss 3.0493 (2.7241)	Prec@1 29.688 (34.908)	Prec@5 58.594 (65.354)
Epoch: [29][1730/14090]	Time 0.761 (0.753)	Data 0.001 (0.004)	Loss 2.7737 (2.7237)	Prec@1 32.812 (34.921)	Prec@5 64.062 (65.363)
Epoch: [29][1740/14090]	Time 0.765 (0.753)	Data 0.001 (0.004)	Loss 2.9716 (2.7241)	Prec@1 32.812 (34.911)	Prec@5 62.500 (65.355)
Epoch: [29][1750/14090]	Time 0.729 (0.753)	Data 0.002 (0.004)	Loss 2.9118 (2.7247)	Prec@1 29.688 (34.906)	Prec@5 62.500 (65.348)
Epoch: [29][1760/14090]	Time 0.732 (0.753)	Data 0.002 (0.004)	Loss 2.8686 (2.7244)	Prec@1 30.469 (34.912)	Prec@5 64.844 (65.358)
Epoch: [29][1770/14090]	Time 0.753 (0.753)	Data 0.001 (0.004)	Loss 2.7129 (2.7245)	Prec@1 35.156 (34.917)	Prec@5 59.375 (65.352)
Epoch: [29][1780/14090]	Time 0.732 (0.753)	Data 0.001 (0.003)	Loss 2.8807 (2.7252)	Prec@1 32.031 (34.906)	Prec@5 64.062 (65.334)
Epoch: [29][1790/14090]	Time 0.752 (0.753)	Data 0.001 (0.003)	Loss 3.1386 (2.7255)	Prec@1 23.438 (34.902)	Prec@5 56.250 (65.330)
Epoch: [29][1800/14090]	Time 0.764 (0.753)	Data 0.001 (0.003)	Loss 2.8850 (2.7261)	Prec@1 29.688 (34.893)	Prec@5 65.625 (65.329)
Epoch: [29][1810/14090]	Time 0.753 (0.753)	Data 0.001 (0.003)	Loss 2.7660 (2.7266)	Prec@1 33.594 (34.886)	Prec@5 63.281 (65.314)
Epoch: [29][1820/14090]	Time 0.762 (0.753)	Data 0.002 (0.003)	Loss 2.8592 (2.7268)	Prec@1 33.594 (34.884)	Prec@5 61.719 (65.304)
Epoch: [29][1830/14090]	Time 0.761 (0.753)	Data 0.001 (0.003)	Loss 2.7725 (2.7264)	Prec@1 36.719 (34.890)	Prec@5 67.188 (65.313)
Epoch: [29][1840/14090]	Time 0.778 (0.753)	Data 0.001 (0.003)	Loss 2.8308 (2.7263)	Prec@1 29.688 (34.894)	Prec@5 62.500 (65.314)
Epoch: [29][1850/14090]	Time 0.749 (0.753)	Data 0.001 (0.003)	Loss 2.6064 (2.7263)	Prec@1 37.500 (34.891)	Prec@5 67.969 (65.311)
Epoch: [29][1860/14090]	Time 0.741 (0.753)	Data 0.001 (0.003)	Loss 2.6464 (2.7267)	Prec@1 37.500 (34.888)	Prec@5 62.500 (65.300)
Epoch: [29][1870/14090]	Time 0.765 (0.753)	Data 0.001 (0.003)	Loss 2.8135 (2.7270)	Prec@1 30.469 (34.889)	Prec@5 61.719 (65.298)
Epoch: [29][1880/14090]	Time 0.748 (0.753)	Data 0.001 (0.003)	Loss 2.6052 (2.7268)	Prec@1 35.156 (34.890)	Prec@5 62.500 (65.303)
Epoch: [29][1890/14090]	Time 0.763 (0.753)	Data 0.002 (0.003)	Loss 2.8519 (2.7267)	Prec@1 32.812 (34.896)	Prec@5 64.062 (65.309)
Epoch: [29][1900/14090]	Time 0.719 (0.753)	Data 0.001 (0.003)	Loss 3.2187 (2.7268)	Prec@1 30.469 (34.896)	Prec@5 50.000 (65.306)
Epoch: [29][1910/14090]	Time 0.780 (0.753)	Data 0.003 (0.003)	Loss 2.6351 (2.7269)	Prec@1 37.500 (34.896)	Prec@5 67.188 (65.308)
Epoch: [29][1920/14090]	Time 0.752 (0.753)	Data 0.001 (0.003)	Loss 2.6815 (2.7270)	Prec@1 32.812 (34.897)	Prec@5 64.062 (65.307)
Epoch: [29][1930/14090]	Time 0.733 (0.753)	Data 0.001 (0.003)	Loss 2.7159 (2.7275)	Prec@1 33.594 (34.889)	Prec@5 67.188 (65.296)
Epoch: [29][1940/14090]	Time 0.767 (0.753)	Data 0.001 (0.003)	Loss 2.5193 (2.7275)	Prec@1 36.719 (34.884)	Prec@5 70.312 (65.299)
Epoch: [29][1950/14090]	Time 0.751 (0.753)	Data 0.001 (0.003)	Loss 2.7249 (2.7275)	Prec@1 37.500 (34.882)	Prec@5 66.406 (65.299)
Epoch: [29][1960/14090]	Time 0.738 (0.753)	Data 0.002 (0.003)	Loss 2.7718 (2.7277)	Prec@1 36.719 (34.887)	Prec@5 64.844 (65.298)
Epoch: [29][1970/14090]	Time 0.730 (0.752)	Data 0.001 (0.003)	Loss 2.6933 (2.7276)	Prec@1 30.469 (34.888)	Prec@5 67.188 (65.295)
Epoch: [29][1980/14090]	Time 0.729 (0.752)	Data 0.001 (0.003)	Loss 2.8875 (2.7273)	Prec@1 33.594 (34.891)	Prec@5 62.500 (65.293)
Epoch: [29][1990/14090]	Time 0.739 (0.752)	Data 0.001 (0.003)	Loss 2.6320 (2.7272)	Prec@1 29.688 (34.891)	Prec@5 68.750 (65.294)
Epoch: [29][2000/14090]	Time 0.721 (0.752)	Data 0.001 (0.003)	Loss 2.4847 (2.7268)	Prec@1 38.281 (34.896)	Prec@5 70.312 (65.299)
Epoch: [29][2010/14090]	Time 0.766 (0.752)	Data 0.001 (0.003)	Loss 2.7879 (2.7270)	Prec@1 32.031 (34.885)	Prec@5 64.062 (65.290)
Epoch: [29][2020/14090]	Time 0.755 (0.752)	Data 0.001 (0.003)	Loss 2.5569 (2.7269)	Prec@1 36.719 (34.890)	Prec@5 68.750 (65.288)
Epoch: [29][2030/14090]	Time 0.753 (0.752)	Data 0.002 (0.003)	Loss 2.8223 (2.7273)	Prec@1 35.938 (34.880)	Prec@5 64.844 (65.279)
Epoch: [29][2040/14090]	Time 0.721 (0.752)	Data 0.001 (0.003)	Loss 2.6937 (2.7273)	Prec@1 38.281 (34.883)	Prec@5 67.969 (65.279)
Epoch: [29][2050/14090]	Time 0.787 (0.752)	Data 0.001 (0.003)	Loss 2.8371 (2.7272)	Prec@1 29.688 (34.888)	Prec@5 67.969 (65.283)
Epoch: [29][2060/14090]	Time 0.758 (0.752)	Data 0.001 (0.003)	Loss 2.7092 (2.7272)	Prec@1 32.812 (34.888)	Prec@5 64.844 (65.272)
Epoch: [29][2070/14090]	Time 0.739 (0.752)	Data 0.001 (0.003)	Loss 2.5202 (2.7271)	Prec@1 39.844 (34.888)	Prec@5 72.656 (65.279)
Epoch: [29][2080/14090]	Time 0.756 (0.752)	Data 0.001 (0.003)	Loss 2.8199 (2.7269)	Prec@1 25.781 (34.880)	Prec@5 62.500 (65.286)
Epoch: [29][2090/14090]	Time 0.771 (0.752)	Data 0.001 (0.003)	Loss 2.8350 (2.7268)	Prec@1 27.344 (34.879)	Prec@5 63.281 (65.283)
Epoch: [29][2100/14090]	Time 0.723 (0.752)	Data 0.002 (0.003)	Loss 2.7583 (2.7266)	Prec@1 34.375 (34.877)	Prec@5 61.719 (65.284)
Epoch: [29][2110/14090]	Time 0.779 (0.752)	Data 0.001 (0.003)	Loss 2.7752 (2.7266)	Prec@1 29.688 (34.871)	Prec@5 65.625 (65.279)
Epoch: [29][2120/14090]	Time 0.747 (0.752)	Data 0.001 (0.003)	Loss 2.9179 (2.7270)	Prec@1 32.812 (34.869)	Prec@5 60.938 (65.271)
Epoch: [29][2130/14090]	Time 0.735 (0.752)	Data 0.001 (0.003)	Loss 2.5478 (2.7271)	Prec@1 39.062 (34.861)	Prec@5 64.844 (65.261)
Epoch: [29][2140/14090]	Time 0.780 (0.752)	Data 0.001 (0.003)	Loss 3.0978 (2.7272)	Prec@1 28.125 (34.852)	Prec@5 62.500 (65.262)
Epoch: [29][2150/14090]	Time 0.762 (0.752)	Data 0.001 (0.003)	Loss 2.7336 (2.7271)	Prec@1 36.719 (34.858)	Prec@5 67.188 (65.259)
Epoch: [29][2160/14090]	Time 0.788 (0.752)	Data 0.001 (0.003)	Loss 2.6231 (2.7267)	Prec@1 35.938 (34.865)	Prec@5 65.625 (65.264)
Epoch: [29][2170/14090]	Time 0.741 (0.752)	Data 0.002 (0.003)	Loss 2.6534 (2.7269)	Prec@1 33.594 (34.853)	Prec@5 66.406 (65.260)
Epoch: [29][2180/14090]	Time 0.741 (0.752)	Data 0.001 (0.003)	Loss 2.8216 (2.7269)	Prec@1 39.844 (34.859)	Prec@5 65.625 (65.260)
Epoch: [29][2190/14090]	Time 0.778 (0.752)	Data 0.001 (0.003)	Loss 2.6996 (2.7266)	Prec@1 36.719 (34.867)	Prec@5 64.062 (65.265)
Epoch: [29][2200/14090]	Time 0.747 (0.752)	Data 0.001 (0.003)	Loss 2.8985 (2.7266)	Prec@1 33.594 (34.868)	Prec@5 62.500 (65.257)
Epoch: [29][2210/14090]	Time 0.761 (0.752)	Data 0.001 (0.003)	Loss 3.0083 (2.7270)	Prec@1 30.469 (34.868)	Prec@5 55.469 (65.241)
Epoch: [29][2220/14090]	Time 0.737 (0.752)	Data 0.001 (0.003)	Loss 2.6662 (2.7275)	Prec@1 34.375 (34.857)	Prec@5 68.750 (65.237)
Epoch: [29][2230/14090]	Time 0.730 (0.752)	Data 0.001 (0.003)	Loss 2.7658 (2.7274)	Prec@1 35.156 (34.861)	Prec@5 66.406 (65.238)
Epoch: [29][2240/14090]	Time 0.749 (0.752)	Data 0.002 (0.003)	Loss 3.1713 (2.7274)	Prec@1 18.750 (34.855)	Prec@5 57.031 (65.236)
Epoch: [29][2250/14090]	Time 0.734 (0.752)	Data 0.001 (0.003)	Loss 2.8337 (2.7275)	Prec@1 35.938 (34.858)	Prec@5 61.719 (65.243)
Epoch: [29][2260/14090]	Time 0.780 (0.752)	Data 0.001 (0.003)	Loss 2.6784 (2.7274)	Prec@1 39.844 (34.860)	Prec@5 67.188 (65.242)
Epoch: [29][2270/14090]	Time 0.729 (0.752)	Data 0.001 (0.003)	Loss 2.8261 (2.7276)	Prec@1 35.938 (34.857)	Prec@5 62.500 (65.235)
Epoch: [29][2280/14090]	Time 0.780 (0.752)	Data 0.001 (0.003)	Loss 2.6505 (2.7274)	Prec@1 35.156 (34.856)	Prec@5 68.750 (65.241)
Epoch: [29][2290/14090]	Time 0.739 (0.752)	Data 0.001 (0.003)	Loss 2.5727 (2.7274)	Prec@1 39.062 (34.856)	Prec@5 69.531 (65.246)
Epoch: [29][2300/14090]	Time 0.746 (0.752)	Data 0.001 (0.003)	Loss 2.7337 (2.7276)	Prec@1 36.719 (34.854)	Prec@5 65.625 (65.243)
Epoch: [29][2310/14090]	Time 0.736 (0.752)	Data 0.002 (0.003)	Loss 3.0255 (2.7278)	Prec@1 32.031 (34.845)	Prec@5 68.750 (65.246)
Epoch: [29][2320/14090]	Time 0.786 (0.752)	Data 0.001 (0.003)	Loss 2.5974 (2.7277)	Prec@1 37.500 (34.848)	Prec@5 67.188 (65.252)
Epoch: [29][2330/14090]	Time 0.767 (0.752)	Data 0.001 (0.003)	Loss 2.7195 (2.7279)	Prec@1 35.156 (34.846)	Prec@5 64.062 (65.246)
Epoch: [29][2340/14090]	Time 0.755 (0.752)	Data 0.001 (0.003)	Loss 2.5034 (2.7282)	Prec@1 36.719 (34.845)	Prec@5 66.406 (65.242)
Epoch: [29][2350/14090]	Time 0.785 (0.752)	Data 0.001 (0.003)	Loss 2.8211 (2.7282)	Prec@1 36.719 (34.847)	Prec@5 60.156 (65.241)
Epoch: [29][2360/14090]	Time 0.765 (0.752)	Data 0.001 (0.003)	Loss 2.7398 (2.7282)	Prec@1 31.250 (34.846)	Prec@5 60.938 (65.235)
Epoch: [29][2370/14090]	Time 0.735 (0.752)	Data 0.001 (0.003)	Loss 2.7232 (2.7280)	Prec@1 28.906 (34.849)	Prec@5 67.969 (65.238)
Epoch: [29][2380/14090]	Time 0.732 (0.752)	Data 0.002 (0.003)	Loss 2.7836 (2.7282)	Prec@1 38.281 (34.848)	Prec@5 63.281 (65.229)
Epoch: [29][2390/14090]	Time 0.780 (0.752)	Data 0.001 (0.003)	Loss 2.5948 (2.7282)	Prec@1 39.844 (34.839)	Prec@5 65.625 (65.225)
Epoch: [29][2400/14090]	Time 0.745 (0.752)	Data 0.001 (0.003)	Loss 2.7141 (2.7281)	Prec@1 36.719 (34.839)	Prec@5 63.281 (65.225)
Epoch: [29][2410/14090]	Time 0.734 (0.752)	Data 0.001 (0.003)	Loss 2.5943 (2.7281)	Prec@1 45.312 (34.840)	Prec@5 64.844 (65.217)
Epoch: [29][2420/14090]	Time 0.742 (0.752)	Data 0.001 (0.003)	Loss 2.7174 (2.7284)	Prec@1 33.594 (34.835)	Prec@5 63.281 (65.209)
Epoch: [29][2430/14090]	Time 0.759 (0.752)	Data 0.001 (0.003)	Loss 2.7318 (2.7289)	Prec@1 36.719 (34.829)	Prec@5 62.500 (65.202)
Epoch: [29][2440/14090]	Time 0.741 (0.752)	Data 0.001 (0.003)	Loss 2.9266 (2.7289)	Prec@1 32.031 (34.829)	Prec@5 61.719 (65.201)
Epoch: [29][2450/14090]	Time 0.729 (0.752)	Data 0.003 (0.003)	Loss 2.6897 (2.7287)	Prec@1 36.719 (34.836)	Prec@5 64.844 (65.204)
Epoch: [29][2460/14090]	Time 0.758 (0.752)	Data 0.001 (0.003)	Loss 2.6535 (2.7285)	Prec@1 39.062 (34.848)	Prec@5 67.969 (65.217)
Epoch: [29][2470/14090]	Time 0.776 (0.752)	Data 0.001 (0.003)	Loss 2.7406 (2.7285)	Prec@1 37.500 (34.847)	Prec@5 65.625 (65.214)
Epoch: [29][2480/14090]	Time 0.737 (0.752)	Data 0.001 (0.003)	Loss 2.5094 (2.7287)	Prec@1 42.969 (34.850)	Prec@5 69.531 (65.207)
Epoch: [29][2490/14090]	Time 0.732 (0.752)	Data 0.001 (0.003)	Loss 2.7297 (2.7288)	Prec@1 37.500 (34.844)	Prec@5 64.844 (65.210)
Epoch: [29][2500/14090]	Time 0.732 (0.752)	Data 0.001 (0.003)	Loss 2.5846 (2.7289)	Prec@1 37.500 (34.841)	Prec@5 67.188 (65.205)
Epoch: [29][2510/14090]	Time 0.732 (0.752)	Data 0.001 (0.003)	Loss 2.8119 (2.7295)	Prec@1 35.938 (34.827)	Prec@5 64.844 (65.198)
Epoch: [29][2520/14090]	Time 0.731 (0.752)	Data 0.002 (0.003)	Loss 2.7029 (2.7295)	Prec@1 31.250 (34.825)	Prec@5 70.312 (65.203)
Epoch: [29][2530/14090]	Time 0.748 (0.752)	Data 0.001 (0.003)	Loss 2.7481 (2.7295)	Prec@1 41.406 (34.826)	Prec@5 60.156 (65.200)
Epoch: [29][2540/14090]	Time 0.776 (0.752)	Data 0.002 (0.003)	Loss 2.8277 (2.7295)	Prec@1 28.906 (34.826)	Prec@5 59.375 (65.203)
Epoch: [29][2550/14090]	Time 0.780 (0.752)	Data 0.001 (0.003)	Loss 2.5326 (2.7294)	Prec@1 32.031 (34.821)	Prec@5 67.188 (65.203)
Epoch: [29][2560/14090]	Time 0.745 (0.752)	Data 0.001 (0.003)	Loss 2.8679 (2.7299)	Prec@1 29.688 (34.813)	Prec@5 60.156 (65.188)
Epoch: [29][2570/14090]	Time 0.745 (0.752)	Data 0.003 (0.003)	Loss 2.9510 (2.7302)	Prec@1 28.125 (34.807)	Prec@5 61.719 (65.185)
Epoch: [29][2580/14090]	Time 0.732 (0.752)	Data 0.001 (0.003)	Loss 2.8295 (2.7302)	Prec@1 36.719 (34.810)	Prec@5 64.062 (65.185)
Epoch: [29][2590/14090]	Time 0.751 (0.752)	Data 0.002 (0.003)	Loss 2.8230 (2.7303)	Prec@1 32.812 (34.806)	Prec@5 59.375 (65.178)
Epoch: [29][2600/14090]	Time 0.732 (0.752)	Data 0.001 (0.003)	Loss 2.6248 (2.7305)	Prec@1 33.594 (34.798)	Prec@5 67.969 (65.174)
Epoch: [29][2610/14090]	Time 0.735 (0.752)	Data 0.001 (0.003)	Loss 2.8490 (2.7304)	Prec@1 28.906 (34.800)	Prec@5 61.719 (65.176)
Epoch: [29][2620/14090]	Time 0.734 (0.752)	Data 0.001 (0.003)	Loss 2.4894 (2.7302)	Prec@1 40.625 (34.804)	Prec@5 67.969 (65.184)
Epoch: [29][2630/14090]	Time 0.776 (0.752)	Data 0.001 (0.003)	Loss 2.6254 (2.7302)	Prec@1 37.500 (34.799)	Prec@5 67.188 (65.184)
Epoch: [29][2640/14090]	Time 0.736 (0.752)	Data 0.001 (0.003)	Loss 2.7953 (2.7300)	Prec@1 34.375 (34.799)	Prec@5 66.406 (65.193)
Epoch: [29][2650/14090]	Time 0.731 (0.752)	Data 0.001 (0.003)	Loss 2.5642 (2.7303)	Prec@1 36.719 (34.793)	Prec@5 69.531 (65.189)
Epoch: [29][2660/14090]	Time 0.753 (0.752)	Data 0.002 (0.003)	Loss 2.7645 (2.7304)	Prec@1 34.375 (34.792)	Prec@5 63.281 (65.185)
Epoch: [29][2670/14090]	Time 0.721 (0.752)	Data 0.001 (0.003)	Loss 2.8307 (2.7300)	Prec@1 30.469 (34.804)	Prec@5 64.844 (65.190)
Epoch: [29][2680/14090]	Time 0.781 (0.752)	Data 0.001 (0.003)	Loss 2.7035 (2.7298)	Prec@1 30.469 (34.804)	Prec@5 65.625 (65.191)
Epoch: [29][2690/14090]	Time 0.733 (0.752)	Data 0.001 (0.003)	Loss 2.6549 (2.7297)	Prec@1 34.375 (34.805)	Prec@5 64.844 (65.192)
Epoch: [29][2700/14090]	Time 0.757 (0.752)	Data 0.001 (0.003)	Loss 2.7555 (2.7300)	Prec@1 31.250 (34.800)	Prec@5 67.188 (65.184)
Epoch: [29][2710/14090]	Time 0.724 (0.752)	Data 0.001 (0.003)	Loss 2.5761 (2.7300)	Prec@1 35.938 (34.794)	Prec@5 64.844 (65.186)
Epoch: [29][2720/14090]	Time 0.772 (0.752)	Data 0.001 (0.003)	Loss 2.4860 (2.7301)	Prec@1 39.844 (34.796)	Prec@5 71.875 (65.187)
Epoch: [29][2730/14090]	Time 0.736 (0.752)	Data 0.002 (0.003)	Loss 2.6876 (2.7304)	Prec@1 38.281 (34.796)	Prec@5 63.281 (65.180)
Epoch: [29][2740/14090]	Time 0.759 (0.752)	Data 0.001 (0.003)	Loss 2.6184 (2.7305)	Prec@1 35.156 (34.788)	Prec@5 68.750 (65.182)
Epoch: [29][2750/14090]	Time 0.740 (0.752)	Data 0.001 (0.003)	Loss 2.5445 (2.7301)	Prec@1 38.281 (34.796)	Prec@5 67.969 (65.190)
Epoch: [29][2760/14090]	Time 0.753 (0.752)	Data 0.001 (0.003)	Loss 2.7047 (2.7301)	Prec@1 33.594 (34.795)	Prec@5 66.406 (65.197)
Epoch: [29][2770/14090]	Time 0.730 (0.752)	Data 0.001 (0.003)	Loss 2.8789 (2.7304)	Prec@1 32.812 (34.787)	Prec@5 64.062 (65.195)
Epoch: [29][2780/14090]	Time 0.758 (0.752)	Data 0.001 (0.003)	Loss 2.7859 (2.7305)	Prec@1 30.469 (34.786)	Prec@5 62.500 (65.189)
Epoch: [29][2790/14090]	Time 0.740 (0.752)	Data 0.001 (0.003)	Loss 2.8267 (2.7309)	Prec@1 32.812 (34.779)	Prec@5 62.500 (65.175)
Epoch: [29][2800/14090]	Time 0.750 (0.752)	Data 0.002 (0.003)	Loss 2.8463 (2.7309)	Prec@1 34.375 (34.781)	Prec@5 58.594 (65.174)
Epoch: [29][2810/14090]	Time 0.780 (0.752)	Data 0.001 (0.003)	Loss 2.9703 (2.7310)	Prec@1 31.250 (34.780)	Prec@5 60.156 (65.169)
Epoch: [29][2820/14090]	Time 0.747 (0.752)	Data 0.001 (0.003)	Loss 2.9332 (2.7311)	Prec@1 30.469 (34.781)	Prec@5 65.625 (65.179)
Epoch: [29][2830/14090]	Time 0.727 (0.752)	Data 0.001 (0.003)	Loss 2.6870 (2.7313)	Prec@1 33.594 (34.786)	Prec@5 65.625 (65.174)
Epoch: [29][2840/14090]	Time 0.737 (0.752)	Data 0.001 (0.003)	Loss 2.9611 (2.7314)	Prec@1 32.031 (34.784)	Prec@5 64.062 (65.177)
Epoch: [29][2850/14090]	Time 0.760 (0.752)	Data 0.001 (0.003)	Loss 2.5488 (2.7314)	Prec@1 37.500 (34.788)	Prec@5 69.531 (65.179)
Epoch: [29][2860/14090]	Time 0.749 (0.752)	Data 0.001 (0.003)	Loss 2.9237 (2.7314)	Prec@1 33.594 (34.791)	Prec@5 62.500 (65.181)
Epoch: [29][2870/14090]	Time 0.761 (0.752)	Data 0.002 (0.003)	Loss 2.9247 (2.7310)	Prec@1 33.594 (34.801)	Prec@5 62.500 (65.189)
Epoch: [29][2880/14090]	Time 0.726 (0.752)	Data 0.001 (0.003)	Loss 2.8570 (2.7312)	Prec@1 39.844 (34.798)	Prec@5 61.719 (65.188)
Epoch: [29][2890/14090]	Time 0.765 (0.752)	Data 0.001 (0.003)	Loss 2.9552 (2.7311)	Prec@1 28.125 (34.802)	Prec@5 61.719 (65.189)
Epoch: [29][2900/14090]	Time 0.749 (0.752)	Data 0.001 (0.003)	Loss 2.8504 (2.7316)	Prec@1 32.031 (34.799)	Prec@5 64.844 (65.180)
Epoch: [29][2910/14090]	Time 0.777 (0.752)	Data 0.001 (0.003)	Loss 2.7586 (2.7315)	Prec@1 35.156 (34.800)	Prec@5 60.938 (65.185)
Epoch: [29][2920/14090]	Time 0.732 (0.752)	Data 0.001 (0.003)	Loss 2.4590 (2.7312)	Prec@1 39.062 (34.801)	Prec@5 72.656 (65.194)
Epoch: [29][2930/14090]	Time 0.740 (0.752)	Data 0.001 (0.003)	Loss 2.6290 (2.7310)	Prec@1 43.750 (34.808)	Prec@5 67.188 (65.197)
Epoch: [29][2940/14090]	Time 0.727 (0.752)	Data 0.002 (0.003)	Loss 2.6774 (2.7312)	Prec@1 32.812 (34.802)	Prec@5 67.188 (65.194)
Epoch: [29][2950/14090]	Time 0.732 (0.752)	Data 0.001 (0.003)	Loss 2.6489 (2.7313)	Prec@1 31.250 (34.799)	Prec@5 64.062 (65.194)
Epoch: [29][2960/14090]	Time 0.749 (0.752)	Data 0.001 (0.003)	Loss 3.0520 (2.7315)	Prec@1 21.875 (34.788)	Prec@5 60.938 (65.189)
Epoch: [29][2970/14090]	Time 0.752 (0.752)	Data 0.003 (0.002)	Loss 2.9748 (2.7317)	Prec@1 28.906 (34.780)	Prec@5 60.156 (65.184)
Epoch: [29][2980/14090]	Time 0.724 (0.752)	Data 0.001 (0.002)	Loss 2.8534 (2.7316)	Prec@1 30.469 (34.779)	Prec@5 60.156 (65.187)
Epoch: [29][2990/14090]	Time 0.757 (0.752)	Data 0.001 (0.002)	Loss 2.8234 (2.7317)	Prec@1 32.031 (34.781)	Prec@5 64.844 (65.188)
Epoch: [29][3000/14090]	Time 0.739 (0.752)	Data 0.001 (0.002)	Loss 2.7542 (2.7317)	Prec@1 31.250 (34.775)	Prec@5 64.062 (65.188)
Epoch: [29][3010/14090]	Time 0.776 (0.752)	Data 0.002 (0.002)	Loss 3.0003 (2.7318)	Prec@1 25.000 (34.773)	Prec@5 60.156 (65.178)
Epoch: [29][3020/14090]	Time 0.750 (0.752)	Data 0.001 (0.002)	Loss 2.5383 (2.7319)	Prec@1 36.719 (34.775)	Prec@5 67.969 (65.175)
Epoch: [29][3030/14090]	Time 0.760 (0.752)	Data 0.001 (0.002)	Loss 2.8698 (2.7322)	Prec@1 32.031 (34.775)	Prec@5 64.844 (65.172)
Epoch: [29][3040/14090]	Time 0.780 (0.752)	Data 0.001 (0.002)	Loss 2.7919 (2.7321)	Prec@1 34.375 (34.774)	Prec@5 62.500 (65.167)
Epoch: [29][3050/14090]	Time 0.757 (0.752)	Data 0.001 (0.002)	Loss 2.4699 (2.7320)	Prec@1 40.625 (34.778)	Prec@5 71.875 (65.172)
Epoch: [29][3060/14090]	Time 0.737 (0.752)	Data 0.001 (0.002)	Loss 2.4169 (2.7318)	Prec@1 41.406 (34.780)	Prec@5 70.312 (65.177)
Epoch: [29][3070/14090]	Time 0.760 (0.752)	Data 0.001 (0.002)	Loss 2.5697 (2.7315)	Prec@1 32.812 (34.783)	Prec@5 62.500 (65.178)
Epoch: [29][3080/14090]	Time 0.777 (0.752)	Data 0.002 (0.002)	Loss 2.8315 (2.7316)	Prec@1 35.938 (34.785)	Prec@5 64.062 (65.174)
Epoch: [29][3090/14090]	Time 0.739 (0.752)	Data 0.001 (0.002)	Loss 2.9258 (2.7317)	Prec@1 32.812 (34.787)	Prec@5 64.062 (65.175)
Epoch: [29][3100/14090]	Time 0.776 (0.752)	Data 0.001 (0.002)	Loss 2.5216 (2.7320)	Prec@1 37.500 (34.784)	Prec@5 71.875 (65.169)
Epoch: [29][3110/14090]	Time 0.741 (0.752)	Data 0.001 (0.002)	Loss 2.7563 (2.7320)	Prec@1 32.031 (34.786)	Prec@5 65.625 (65.166)
Epoch: [29][3120/14090]	Time 0.743 (0.752)	Data 0.001 (0.002)	Loss 2.7053 (2.7321)	Prec@1 35.156 (34.785)	Prec@5 67.969 (65.168)
Epoch: [29][3130/14090]	Time 0.781 (0.752)	Data 0.001 (0.002)	Loss 2.9200 (2.7325)	Prec@1 32.031 (34.782)	Prec@5 63.281 (65.162)
Epoch: [29][3140/14090]	Time 0.750 (0.752)	Data 0.001 (0.002)	Loss 2.8620 (2.7327)	Prec@1 33.594 (34.783)	Prec@5 60.156 (65.155)
Epoch: [29][3150/14090]	Time 0.758 (0.752)	Data 0.002 (0.002)	Loss 2.7234 (2.7329)	Prec@1 32.031 (34.782)	Prec@5 64.844 (65.150)
Epoch: [29][3160/14090]	Time 0.763 (0.752)	Data 0.001 (0.002)	Loss 2.8245 (2.7327)	Prec@1 34.375 (34.785)	Prec@5 60.938 (65.150)
Epoch: [29][3170/14090]	Time 0.738 (0.752)	Data 0.001 (0.002)	Loss 2.6800 (2.7329)	Prec@1 39.062 (34.784)	Prec@5 64.844 (65.146)
Epoch: [29][3180/14090]	Time 0.769 (0.752)	Data 0.001 (0.002)	Loss 3.0757 (2.7327)	Prec@1 37.500 (34.791)	Prec@5 61.719 (65.156)
Epoch: [29][3190/14090]	Time 0.783 (0.752)	Data 0.001 (0.002)	Loss 3.0103 (2.7330)	Prec@1 23.438 (34.786)	Prec@5 58.594 (65.148)
Epoch: [29][3200/14090]	Time 0.751 (0.752)	Data 0.001 (0.002)	Loss 2.8509 (2.7330)	Prec@1 33.594 (34.788)	Prec@5 60.938 (65.147)
Epoch: [29][3210/14090]	Time 0.752 (0.752)	Data 0.001 (0.002)	Loss 2.6299 (2.7327)	Prec@1 35.156 (34.795)	Prec@5 70.312 (65.156)
Epoch: [29][3220/14090]	Time 0.740 (0.751)	Data 0.002 (0.002)	Loss 2.7563 (2.7325)	Prec@1 34.375 (34.799)	Prec@5 64.844 (65.156)
Epoch: [29][3230/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 2.4602 (2.7327)	Prec@1 38.281 (34.796)	Prec@5 67.969 (65.152)
Epoch: [29][3240/14090]	Time 0.731 (0.751)	Data 0.001 (0.002)	Loss 2.9297 (2.7326)	Prec@1 29.688 (34.794)	Prec@5 64.844 (65.150)
Epoch: [29][3250/14090]	Time 0.731 (0.751)	Data 0.001 (0.002)	Loss 2.8536 (2.7327)	Prec@1 32.812 (34.792)	Prec@5 59.375 (65.150)
Epoch: [29][3260/14090]	Time 0.768 (0.751)	Data 0.001 (0.002)	Loss 2.7052 (2.7328)	Prec@1 40.625 (34.791)	Prec@5 61.719 (65.146)
Epoch: [29][3270/14090]	Time 0.746 (0.751)	Data 0.001 (0.002)	Loss 2.7243 (2.7329)	Prec@1 34.375 (34.790)	Prec@5 66.406 (65.142)
Epoch: [29][3280/14090]	Time 0.773 (0.751)	Data 0.001 (0.002)	Loss 2.6257 (2.7326)	Prec@1 32.812 (34.796)	Prec@5 64.844 (65.150)
Epoch: [29][3290/14090]	Time 0.746 (0.751)	Data 0.002 (0.002)	Loss 2.7777 (2.7327)	Prec@1 36.719 (34.793)	Prec@5 61.719 (65.150)
Epoch: [29][3300/14090]	Time 0.728 (0.751)	Data 0.001 (0.002)	Loss 2.6936 (2.7328)	Prec@1 37.500 (34.793)	Prec@5 63.281 (65.147)
Epoch: [29][3310/14090]	Time 0.821 (0.751)	Data 0.001 (0.002)	Loss 2.6676 (2.7329)	Prec@1 38.281 (34.788)	Prec@5 67.969 (65.144)
Epoch: [29][3320/14090]	Time 0.743 (0.751)	Data 0.001 (0.002)	Loss 2.6974 (2.7329)	Prec@1 33.594 (34.788)	Prec@5 66.406 (65.143)
Epoch: [29][3330/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 2.7446 (2.7329)	Prec@1 33.594 (34.785)	Prec@5 66.406 (65.145)
Epoch: [29][3340/14090]	Time 0.773 (0.751)	Data 0.001 (0.002)	Loss 3.0256 (2.7328)	Prec@1 34.375 (34.786)	Prec@5 61.719 (65.151)
Epoch: [29][3350/14090]	Time 0.741 (0.751)	Data 0.001 (0.002)	Loss 2.6116 (2.7327)	Prec@1 41.406 (34.792)	Prec@5 61.719 (65.149)
Epoch: [29][3360/14090]	Time 0.723 (0.751)	Data 0.002 (0.002)	Loss 2.7293 (2.7327)	Prec@1 32.031 (34.792)	Prec@5 64.844 (65.147)
Epoch: [29][3370/14090]	Time 0.738 (0.751)	Data 0.001 (0.002)	Loss 2.5720 (2.7328)	Prec@1 37.500 (34.790)	Prec@5 69.531 (65.144)
Epoch: [29][3380/14090]	Time 0.721 (0.751)	Data 0.001 (0.002)	Loss 2.6461 (2.7328)	Prec@1 39.844 (34.793)	Prec@5 64.062 (65.143)
Epoch: [29][3390/14090]	Time 0.769 (0.751)	Data 0.001 (0.002)	Loss 3.0322 (2.7330)	Prec@1 28.906 (34.788)	Prec@5 59.375 (65.143)
Epoch: [29][3400/14090]	Time 0.758 (0.751)	Data 0.001 (0.002)	Loss 2.8029 (2.7329)	Prec@1 35.156 (34.789)	Prec@5 64.062 (65.149)
Epoch: [29][3410/14090]	Time 0.732 (0.751)	Data 0.001 (0.002)	Loss 2.5245 (2.7329)	Prec@1 37.500 (34.787)	Prec@5 67.969 (65.146)
Epoch: [29][3420/14090]	Time 0.749 (0.751)	Data 0.001 (0.002)	Loss 2.7383 (2.7328)	Prec@1 35.156 (34.784)	Prec@5 68.750 (65.147)
Epoch: [29][3430/14090]	Time 0.736 (0.751)	Data 0.002 (0.002)	Loss 2.7737 (2.7328)	Prec@1 32.031 (34.781)	Prec@5 62.500 (65.145)
Epoch: [29][3440/14090]	Time 0.746 (0.751)	Data 0.001 (0.002)	Loss 3.1562 (2.7327)	Prec@1 25.000 (34.778)	Prec@5 60.156 (65.148)
Epoch: [29][3450/14090]	Time 0.735 (0.751)	Data 0.001 (0.002)	Loss 2.9884 (2.7326)	Prec@1 33.594 (34.778)	Prec@5 60.938 (65.150)
Epoch: [29][3460/14090]	Time 0.769 (0.751)	Data 0.001 (0.002)	Loss 2.9199 (2.7327)	Prec@1 34.375 (34.777)	Prec@5 60.938 (65.143)
Epoch: [29][3470/14090]	Time 0.761 (0.751)	Data 0.001 (0.002)	Loss 2.4610 (2.7330)	Prec@1 43.750 (34.777)	Prec@5 71.875 (65.136)
Epoch: [29][3480/14090]	Time 0.764 (0.751)	Data 0.001 (0.002)	Loss 2.3685 (2.7328)	Prec@1 39.062 (34.780)	Prec@5 72.656 (65.138)
Epoch: [29][3490/14090]	Time 0.777 (0.751)	Data 0.001 (0.002)	Loss 2.9003 (2.7328)	Prec@1 32.812 (34.780)	Prec@5 61.719 (65.138)
Epoch: [29][3500/14090]	Time 0.746 (0.751)	Data 0.002 (0.002)	Loss 3.0906 (2.7329)	Prec@1 23.438 (34.775)	Prec@5 57.031 (65.138)
Epoch: [29][3510/14090]	Time 0.765 (0.751)	Data 0.001 (0.002)	Loss 2.8115 (2.7330)	Prec@1 36.719 (34.776)	Prec@5 63.281 (65.137)
Epoch: [29][3520/14090]	Time 0.768 (0.751)	Data 0.001 (0.002)	Loss 2.7250 (2.7329)	Prec@1 33.594 (34.774)	Prec@5 61.719 (65.138)
Epoch: [29][3530/14090]	Time 0.772 (0.751)	Data 0.001 (0.002)	Loss 2.6133 (2.7328)	Prec@1 34.375 (34.775)	Prec@5 67.188 (65.139)
Epoch: [29][3540/14090]	Time 0.758 (0.751)	Data 0.001 (0.002)	Loss 2.8454 (2.7328)	Prec@1 36.719 (34.774)	Prec@5 60.938 (65.137)
Epoch: [29][3550/14090]	Time 0.814 (0.751)	Data 0.001 (0.002)	Loss 2.4265 (2.7327)	Prec@1 39.062 (34.773)	Prec@5 75.000 (65.142)
Epoch: [29][3560/14090]	Time 0.727 (0.751)	Data 0.001 (0.002)	Loss 2.7039 (2.7327)	Prec@1 37.500 (34.775)	Prec@5 67.188 (65.141)
Epoch: [29][3570/14090]	Time 0.749 (0.751)	Data 0.002 (0.002)	Loss 2.9583 (2.7327)	Prec@1 31.250 (34.774)	Prec@5 57.812 (65.141)
Epoch: [29][3580/14090]	Time 0.728 (0.751)	Data 0.001 (0.002)	Loss 2.8022 (2.7325)	Prec@1 35.938 (34.777)	Prec@5 62.500 (65.143)
Epoch: [29][3590/14090]	Time 0.736 (0.751)	Data 0.001 (0.002)	Loss 2.6837 (2.7328)	Prec@1 38.281 (34.769)	Prec@5 70.312 (65.142)
Epoch: [29][3600/14090]	Time 0.784 (0.751)	Data 0.001 (0.002)	Loss 2.6664 (2.7327)	Prec@1 32.812 (34.770)	Prec@5 65.625 (65.147)
Epoch: [29][3610/14090]	Time 0.731 (0.751)	Data 0.001 (0.002)	Loss 2.8815 (2.7328)	Prec@1 32.031 (34.769)	Prec@5 62.500 (65.145)
Epoch: [29][3620/14090]	Time 0.779 (0.751)	Data 0.001 (0.002)	Loss 2.6792 (2.7330)	Prec@1 33.594 (34.769)	Prec@5 64.844 (65.138)
Epoch: [29][3630/14090]	Time 0.730 (0.751)	Data 0.001 (0.002)	Loss 2.6325 (2.7330)	Prec@1 32.812 (34.767)	Prec@5 71.094 (65.138)
Epoch: [29][3640/14090]	Time 0.750 (0.751)	Data 0.002 (0.002)	Loss 2.7426 (2.7332)	Prec@1 36.719 (34.764)	Prec@5 64.844 (65.137)
Epoch: [29][3650/14090]	Time 0.752 (0.751)	Data 0.001 (0.002)	Loss 2.6578 (2.7331)	Prec@1 32.031 (34.766)	Prec@5 65.625 (65.136)
Epoch: [29][3660/14090]	Time 0.748 (0.751)	Data 0.001 (0.002)	Loss 2.7415 (2.7331)	Prec@1 32.812 (34.768)	Prec@5 63.281 (65.135)
Epoch: [29][3670/14090]	Time 0.744 (0.751)	Data 0.001 (0.002)	Loss 2.4906 (2.7330)	Prec@1 37.500 (34.773)	Prec@5 69.531 (65.140)
Epoch: [29][3680/14090]	Time 0.780 (0.751)	Data 0.001 (0.002)	Loss 2.6383 (2.7328)	Prec@1 38.281 (34.782)	Prec@5 71.094 (65.144)
Epoch: [29][3690/14090]	Time 0.771 (0.751)	Data 0.001 (0.002)	Loss 2.9225 (2.7330)	Prec@1 29.688 (34.779)	Prec@5 62.500 (65.141)
Epoch: [29][3700/14090]	Time 0.748 (0.751)	Data 0.001 (0.002)	Loss 2.8726 (2.7332)	Prec@1 30.469 (34.776)	Prec@5 64.062 (65.135)
Epoch: [29][3710/14090]	Time 0.736 (0.751)	Data 0.003 (0.002)	Loss 2.5848 (2.7333)	Prec@1 37.500 (34.775)	Prec@5 67.188 (65.137)
Epoch: [29][3720/14090]	Time 0.723 (0.751)	Data 0.001 (0.002)	Loss 2.8171 (2.7333)	Prec@1 32.812 (34.773)	Prec@5 58.594 (65.137)
Epoch: [29][3730/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 2.8808 (2.7333)	Prec@1 33.594 (34.773)	Prec@5 60.156 (65.140)
Epoch: [29][3740/14090]	Time 0.753 (0.751)	Data 0.001 (0.002)	Loss 2.6946 (2.7334)	Prec@1 37.500 (34.775)	Prec@5 65.625 (65.139)
Epoch: [29][3750/14090]	Time 0.742 (0.751)	Data 0.001 (0.002)	Loss 2.6870 (2.7334)	Prec@1 42.188 (34.779)	Prec@5 65.625 (65.140)
Epoch: [29][3760/14090]	Time 0.732 (0.751)	Data 0.001 (0.002)	Loss 2.9540 (2.7334)	Prec@1 30.469 (34.775)	Prec@5 60.156 (65.140)
Epoch: [29][3770/14090]	Time 0.731 (0.751)	Data 0.001 (0.002)	Loss 2.6589 (2.7334)	Prec@1 39.062 (34.776)	Prec@5 64.844 (65.138)
Epoch: [29][3780/14090]	Time 0.782 (0.751)	Data 0.002 (0.002)	Loss 2.7275 (2.7334)	Prec@1 39.844 (34.777)	Prec@5 66.406 (65.137)
Epoch: [29][3790/14090]	Time 0.749 (0.751)	Data 0.001 (0.002)	Loss 2.9492 (2.7335)	Prec@1 33.594 (34.775)	Prec@5 62.500 (65.133)
Epoch: [29][3800/14090]	Time 0.751 (0.751)	Data 0.001 (0.002)	Loss 2.8917 (2.7339)	Prec@1 34.375 (34.769)	Prec@5 64.062 (65.128)
Epoch: [29][3810/14090]	Time 0.764 (0.751)	Data 0.001 (0.002)	Loss 2.9007 (2.7339)	Prec@1 34.375 (34.770)	Prec@5 61.719 (65.126)
Epoch: [29][3820/14090]	Time 0.781 (0.751)	Data 0.001 (0.002)	Loss 2.7986 (2.7340)	Prec@1 30.469 (34.766)	Prec@5 64.844 (65.127)
Epoch: [29][3830/14090]	Time 0.746 (0.751)	Data 0.001 (0.002)	Loss 2.6124 (2.7339)	Prec@1 32.031 (34.771)	Prec@5 68.750 (65.128)
Epoch: [29][3840/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 2.9059 (2.7338)	Prec@1 32.031 (34.770)	Prec@5 64.062 (65.129)
Epoch: [29][3850/14090]	Time 0.772 (0.751)	Data 0.002 (0.002)	Loss 2.7299 (2.7337)	Prec@1 34.375 (34.774)	Prec@5 65.625 (65.130)
Epoch: [29][3860/14090]	Time 0.738 (0.751)	Data 0.001 (0.002)	Loss 2.9458 (2.7337)	Prec@1 34.375 (34.776)	Prec@5 53.906 (65.126)
Epoch: [29][3870/14090]	Time 0.750 (0.751)	Data 0.001 (0.002)	Loss 2.8649 (2.7338)	Prec@1 35.938 (34.777)	Prec@5 60.156 (65.123)
Epoch: [29][3880/14090]	Time 0.750 (0.751)	Data 0.001 (0.002)	Loss 2.5831 (2.7338)	Prec@1 39.062 (34.779)	Prec@5 63.281 (65.118)
Epoch: [29][3890/14090]	Time 0.752 (0.751)	Data 0.001 (0.002)	Loss 2.8981 (2.7338)	Prec@1 35.156 (34.779)	Prec@5 63.281 (65.119)
Epoch: [29][3900/14090]	Time 0.727 (0.751)	Data 0.001 (0.002)	Loss 2.8029 (2.7338)	Prec@1 28.125 (34.779)	Prec@5 59.375 (65.117)
Epoch: [29][3910/14090]	Time 0.731 (0.751)	Data 0.001 (0.002)	Loss 2.6790 (2.7338)	Prec@1 34.375 (34.779)	Prec@5 64.062 (65.116)
Epoch: [29][3920/14090]	Time 0.784 (0.751)	Data 0.002 (0.002)	Loss 2.9093 (2.7337)	Prec@1 34.375 (34.783)	Prec@5 57.812 (65.117)
Epoch: [29][3930/14090]	Time 0.748 (0.751)	Data 0.001 (0.002)	Loss 2.9745 (2.7339)	Prec@1 31.250 (34.780)	Prec@5 58.594 (65.114)
Epoch: [29][3940/14090]	Time 0.732 (0.751)	Data 0.001 (0.002)	Loss 2.7718 (2.7338)	Prec@1 29.688 (34.775)	Prec@5 64.062 (65.117)
Epoch: [29][3950/14090]	Time 0.766 (0.751)	Data 0.001 (0.002)	Loss 2.8665 (2.7338)	Prec@1 26.562 (34.772)	Prec@5 60.938 (65.118)
Epoch: [29][3960/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 2.6361 (2.7338)	Prec@1 32.031 (34.768)	Prec@5 67.969 (65.117)
Epoch: [29][3970/14090]	Time 0.767 (0.751)	Data 0.001 (0.002)	Loss 3.0489 (2.7337)	Prec@1 33.594 (34.768)	Prec@5 57.812 (65.117)
Epoch: [29][3980/14090]	Time 0.735 (0.751)	Data 0.002 (0.002)	Loss 2.8166 (2.7334)	Prec@1 32.812 (34.775)	Prec@5 62.500 (65.124)
Epoch: [29][3990/14090]	Time 0.733 (0.751)	Data 0.003 (0.002)	Loss 2.5742 (2.7335)	Prec@1 35.156 (34.775)	Prec@5 69.531 (65.124)
Epoch: [29][4000/14090]	Time 0.782 (0.751)	Data 0.001 (0.002)	Loss 2.8500 (2.7335)	Prec@1 29.688 (34.776)	Prec@5 62.500 (65.124)
Epoch: [29][4010/14090]	Time 0.728 (0.751)	Data 0.001 (0.002)	Loss 3.0974 (2.7335)	Prec@1 33.594 (34.776)	Prec@5 58.594 (65.125)
Epoch: [29][4020/14090]	Time 0.760 (0.751)	Data 0.001 (0.002)	Loss 3.0004 (2.7336)	Prec@1 30.469 (34.774)	Prec@5 64.062 (65.125)
Epoch: [29][4030/14090]	Time 0.746 (0.751)	Data 0.001 (0.002)	Loss 2.6831 (2.7334)	Prec@1 34.375 (34.770)	Prec@5 66.406 (65.132)
Epoch: [29][4040/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 2.6188 (2.7331)	Prec@1 39.844 (34.776)	Prec@5 64.844 (65.143)
Epoch: [29][4050/14090]	Time 0.749 (0.751)	Data 0.001 (0.002)	Loss 2.7243 (2.7332)	Prec@1 29.688 (34.769)	Prec@5 60.156 (65.139)
Epoch: [29][4060/14090]	Time 0.733 (0.751)	Data 0.002 (0.002)	Loss 2.6145 (2.7332)	Prec@1 32.812 (34.769)	Prec@5 67.188 (65.138)
Epoch: [29][4070/14090]	Time 0.763 (0.751)	Data 0.001 (0.002)	Loss 2.5981 (2.7332)	Prec@1 35.156 (34.767)	Prec@5 67.188 (65.140)
Epoch: [29][4080/14090]	Time 0.730 (0.751)	Data 0.001 (0.002)	Loss 2.6660 (2.7335)	Prec@1 35.156 (34.762)	Prec@5 64.062 (65.138)
Epoch: [29][4090/14090]	Time 0.771 (0.751)	Data 0.001 (0.002)	Loss 2.7499 (2.7335)	Prec@1 35.938 (34.761)	Prec@5 62.500 (65.131)
Epoch: [29][4100/14090]	Time 0.729 (0.751)	Data 0.001 (0.002)	Loss 2.7546 (2.7336)	Prec@1 28.125 (34.760)	Prec@5 66.406 (65.134)
Epoch: [29][4110/14090]	Time 0.749 (0.751)	Data 0.001 (0.002)	Loss 2.6883 (2.7338)	Prec@1 36.719 (34.755)	Prec@5 62.500 (65.133)
Epoch: [29][4120/14090]	Time 0.735 (0.751)	Data 0.001 (0.002)	Loss 3.1799 (2.7340)	Prec@1 32.812 (34.749)	Prec@5 58.594 (65.130)
Epoch: [29][4130/14090]	Time 0.749 (0.751)	Data 0.003 (0.002)	Loss 2.9619 (2.7342)	Prec@1 35.938 (34.750)	Prec@5 62.500 (65.128)
Epoch: [29][4140/14090]	Time 0.768 (0.751)	Data 0.001 (0.002)	Loss 2.6615 (2.7344)	Prec@1 40.625 (34.752)	Prec@5 67.188 (65.125)
Epoch: [29][4150/14090]	Time 0.750 (0.751)	Data 0.001 (0.002)	Loss 2.9507 (2.7345)	Prec@1 30.469 (34.751)	Prec@5 62.500 (65.123)
Epoch: [29][4160/14090]	Time 0.735 (0.751)	Data 0.001 (0.002)	Loss 2.7988 (2.7344)	Prec@1 38.281 (34.753)	Prec@5 58.594 (65.121)
Epoch: [29][4170/14090]	Time 0.730 (0.751)	Data 0.001 (0.002)	Loss 2.4357 (2.7344)	Prec@1 36.719 (34.756)	Prec@5 73.438 (65.124)
Epoch: [29][4180/14090]	Time 0.752 (0.751)	Data 0.001 (0.002)	Loss 2.7449 (2.7342)	Prec@1 35.156 (34.763)	Prec@5 61.719 (65.124)
Epoch: [29][4190/14090]	Time 0.726 (0.751)	Data 0.001 (0.002)	Loss 2.7463 (2.7340)	Prec@1 36.719 (34.767)	Prec@5 63.281 (65.123)
Epoch: [29][4200/14090]	Time 0.774 (0.751)	Data 0.002 (0.002)	Loss 2.7826 (2.7341)	Prec@1 28.906 (34.764)	Prec@5 62.500 (65.122)
Epoch: [29][4210/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 2.8388 (2.7339)	Prec@1 32.812 (34.766)	Prec@5 62.500 (65.124)
Epoch: [29][4220/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 2.8302 (2.7340)	Prec@1 31.250 (34.767)	Prec@5 62.500 (65.120)
Epoch: [29][4230/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 2.5634 (2.7340)	Prec@1 34.375 (34.768)	Prec@5 71.094 (65.126)
Epoch: [29][4240/14090]	Time 0.729 (0.751)	Data 0.001 (0.002)	Loss 3.0192 (2.7340)	Prec@1 35.156 (34.768)	Prec@5 59.375 (65.127)
Epoch: [29][4250/14090]	Time 0.741 (0.751)	Data 0.001 (0.002)	Loss 2.6754 (2.7340)	Prec@1 35.156 (34.767)	Prec@5 67.188 (65.123)
Epoch: [29][4260/14090]	Time 0.750 (0.751)	Data 0.001 (0.002)	Loss 2.8090 (2.7339)	Prec@1 33.594 (34.769)	Prec@5 65.625 (65.124)
Epoch: [29][4270/14090]	Time 0.737 (0.751)	Data 0.002 (0.002)	Loss 2.7020 (2.7340)	Prec@1 32.031 (34.762)	Prec@5 64.844 (65.119)
Epoch: [29][4280/14090]	Time 0.733 (0.751)	Data 0.001 (0.002)	Loss 2.5673 (2.7339)	Prec@1 38.281 (34.766)	Prec@5 69.531 (65.126)
Epoch: [29][4290/14090]	Time 0.727 (0.751)	Data 0.001 (0.002)	Loss 2.6976 (2.7337)	Prec@1 28.125 (34.769)	Prec@5 66.406 (65.130)
Epoch: [29][4300/14090]	Time 0.749 (0.751)	Data 0.001 (0.002)	Loss 2.6745 (2.7337)	Prec@1 37.500 (34.770)	Prec@5 64.062 (65.130)
Epoch: [29][4310/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 2.8159 (2.7337)	Prec@1 32.812 (34.767)	Prec@5 64.062 (65.127)
Epoch: [29][4320/14090]	Time 0.753 (0.751)	Data 0.001 (0.002)	Loss 2.4641 (2.7336)	Prec@1 39.062 (34.773)	Prec@5 68.750 (65.125)
Epoch: [29][4330/14090]	Time 0.749 (0.751)	Data 0.002 (0.002)	Loss 2.6578 (2.7335)	Prec@1 34.375 (34.771)	Prec@5 67.969 (65.126)
Epoch: [29][4340/14090]	Time 0.752 (0.751)	Data 0.002 (0.002)	Loss 2.5675 (2.7336)	Prec@1 37.500 (34.769)	Prec@5 70.312 (65.125)
Epoch: [29][4350/14090]	Time 0.762 (0.751)	Data 0.001 (0.002)	Loss 2.8151 (2.7337)	Prec@1 35.156 (34.769)	Prec@5 67.188 (65.123)
Epoch: [29][4360/14090]	Time 0.731 (0.751)	Data 0.001 (0.002)	Loss 2.5893 (2.7336)	Prec@1 35.156 (34.768)	Prec@5 65.625 (65.121)
Epoch: [29][4370/14090]	Time 0.731 (0.751)	Data 0.001 (0.002)	Loss 2.7151 (2.7336)	Prec@1 35.156 (34.769)	Prec@5 70.312 (65.121)
Epoch: [29][4380/14090]	Time 0.746 (0.751)	Data 0.001 (0.002)	Loss 2.5768 (2.7336)	Prec@1 35.156 (34.769)	Prec@5 71.094 (65.123)
Epoch: [29][4390/14090]	Time 0.760 (0.751)	Data 0.001 (0.002)	Loss 2.8810 (2.7335)	Prec@1 28.906 (34.771)	Prec@5 66.406 (65.127)
Epoch: [29][4400/14090]	Time 0.736 (0.751)	Data 0.001 (0.002)	Loss 2.7588 (2.7334)	Prec@1 33.594 (34.769)	Prec@5 63.281 (65.130)
Epoch: [29][4410/14090]	Time 0.744 (0.751)	Data 0.002 (0.002)	Loss 2.8487 (2.7332)	Prec@1 29.688 (34.771)	Prec@5 62.500 (65.134)
Epoch: [29][4420/14090]	Time 0.750 (0.751)	Data 0.001 (0.002)	Loss 2.9025 (2.7333)	Prec@1 28.125 (34.770)	Prec@5 61.719 (65.132)
Epoch: [29][4430/14090]	Time 0.741 (0.751)	Data 0.001 (0.002)	Loss 2.6169 (2.7332)	Prec@1 35.938 (34.772)	Prec@5 67.188 (65.134)
Epoch: [29][4440/14090]	Time 0.748 (0.751)	Data 0.001 (0.002)	Loss 3.1595 (2.7333)	Prec@1 27.344 (34.769)	Prec@5 53.906 (65.131)
Epoch: [29][4450/14090]	Time 0.789 (0.751)	Data 0.002 (0.002)	Loss 2.4510 (2.7333)	Prec@1 42.969 (34.770)	Prec@5 71.875 (65.130)
Epoch: [29][4460/14090]	Time 0.773 (0.751)	Data 0.001 (0.002)	Loss 2.7423 (2.7333)	Prec@1 38.281 (34.769)	Prec@5 60.938 (65.128)
Epoch: [29][4470/14090]	Time 0.763 (0.751)	Data 0.001 (0.002)	Loss 2.6676 (2.7334)	Prec@1 43.750 (34.771)	Prec@5 63.281 (65.130)
Epoch: [29][4480/14090]	Time 0.727 (0.751)	Data 0.002 (0.002)	Loss 2.8943 (2.7336)	Prec@1 31.250 (34.767)	Prec@5 63.281 (65.124)
Epoch: [29][4490/14090]	Time 0.776 (0.751)	Data 0.001 (0.002)	Loss 2.5761 (2.7335)	Prec@1 35.156 (34.767)	Prec@5 67.969 (65.124)
Epoch: [29][4500/14090]	Time 0.732 (0.751)	Data 0.001 (0.002)	Loss 2.5741 (2.7333)	Prec@1 42.969 (34.770)	Prec@5 64.844 (65.123)
Epoch: [29][4510/14090]	Time 0.731 (0.751)	Data 0.001 (0.002)	Loss 2.7205 (2.7333)	Prec@1 37.500 (34.770)	Prec@5 66.406 (65.122)
Epoch: [29][4520/14090]	Time 0.773 (0.751)	Data 0.001 (0.002)	Loss 2.6436 (2.7335)	Prec@1 37.500 (34.769)	Prec@5 67.188 (65.118)
Epoch: [29][4530/14090]	Time 0.736 (0.751)	Data 0.001 (0.002)	Loss 2.6434 (2.7336)	Prec@1 32.812 (34.764)	Prec@5 68.750 (65.115)
Epoch: [29][4540/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 2.6341 (2.7336)	Prec@1 38.281 (34.769)	Prec@5 67.188 (65.115)
Epoch: [29][4550/14090]	Time 0.739 (0.751)	Data 0.002 (0.002)	Loss 2.9068 (2.7336)	Prec@1 29.688 (34.768)	Prec@5 60.938 (65.112)
Epoch: [29][4560/14090]	Time 0.735 (0.751)	Data 0.001 (0.002)	Loss 2.7312 (2.7337)	Prec@1 36.719 (34.766)	Prec@5 63.281 (65.114)
Epoch: [29][4570/14090]	Time 0.737 (0.751)	Data 0.001 (0.002)	Loss 2.8349 (2.7340)	Prec@1 32.031 (34.760)	Prec@5 65.625 (65.107)
Epoch: [29][4580/14090]	Time 0.741 (0.751)	Data 0.001 (0.002)	Loss 2.9737 (2.7342)	Prec@1 35.156 (34.757)	Prec@5 63.281 (65.105)
Epoch: [29][4590/14090]	Time 0.789 (0.751)	Data 0.001 (0.002)	Loss 2.9376 (2.7341)	Prec@1 27.344 (34.761)	Prec@5 61.719 (65.106)
Epoch: [29][4600/14090]	Time 0.745 (0.751)	Data 0.001 (0.002)	Loss 2.7352 (2.7340)	Prec@1 36.719 (34.766)	Prec@5 64.062 (65.108)
Epoch: [29][4610/14090]	Time 0.727 (0.751)	Data 0.001 (0.002)	Loss 2.5805 (2.7341)	Prec@1 39.062 (34.759)	Prec@5 71.094 (65.109)
Epoch: [29][4620/14090]	Time 0.766 (0.751)	Data 0.002 (0.002)	Loss 2.9025 (2.7341)	Prec@1 32.812 (34.759)	Prec@5 63.281 (65.113)
Epoch: [29][4630/14090]	Time 0.752 (0.751)	Data 0.001 (0.002)	Loss 2.7961 (2.7342)	Prec@1 30.469 (34.756)	Prec@5 65.625 (65.112)
Epoch: [29][4640/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 2.8134 (2.7343)	Prec@1 34.375 (34.754)	Prec@5 64.844 (65.112)
Epoch: [29][4650/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 2.7523 (2.7343)	Prec@1 31.250 (34.753)	Prec@5 63.281 (65.112)
Epoch: [29][4660/14090]	Time 0.736 (0.751)	Data 0.001 (0.002)	Loss 2.9319 (2.7344)	Prec@1 31.250 (34.752)	Prec@5 60.938 (65.111)
Epoch: [29][4670/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 2.8962 (2.7344)	Prec@1 27.344 (34.748)	Prec@5 64.062 (65.109)
Epoch: [29][4680/14090]	Time 0.740 (0.751)	Data 0.001 (0.002)	Loss 2.8276 (2.7343)	Prec@1 38.281 (34.753)	Prec@5 64.062 (65.112)
Epoch: [29][4690/14090]	Time 0.729 (0.751)	Data 0.002 (0.002)	Loss 2.5569 (2.7343)	Prec@1 43.750 (34.751)	Prec@5 72.656 (65.115)
Epoch: [29][4700/14090]	Time 0.744 (0.751)	Data 0.001 (0.002)	Loss 2.6794 (2.7343)	Prec@1 35.156 (34.753)	Prec@5 67.969 (65.117)
Epoch: [29][4710/14090]	Time 0.764 (0.751)	Data 0.001 (0.002)	Loss 2.8487 (2.7342)	Prec@1 35.938 (34.752)	Prec@5 60.938 (65.115)
Epoch: [29][4720/14090]	Time 0.757 (0.751)	Data 0.001 (0.002)	Loss 2.6972 (2.7345)	Prec@1 33.594 (34.743)	Prec@5 70.312 (65.110)
Epoch: [29][4730/14090]	Time 0.764 (0.751)	Data 0.001 (0.002)	Loss 2.8423 (2.7345)	Prec@1 36.719 (34.741)	Prec@5 64.062 (65.108)
Epoch: [29][4740/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 2.6873 (2.7344)	Prec@1 28.906 (34.741)	Prec@5 70.312 (65.112)
Epoch: [29][4750/14090]	Time 0.737 (0.751)	Data 0.001 (0.002)	Loss 2.6545 (2.7343)	Prec@1 36.719 (34.740)	Prec@5 64.844 (65.113)
Epoch: [29][4760/14090]	Time 0.809 (0.751)	Data 0.002 (0.002)	Loss 3.0131 (2.7343)	Prec@1 27.344 (34.740)	Prec@5 56.250 (65.109)
Epoch: [29][4770/14090]	Time 0.762 (0.751)	Data 0.001 (0.002)	Loss 2.4432 (2.7341)	Prec@1 34.375 (34.744)	Prec@5 69.531 (65.114)
Epoch: [29][4780/14090]	Time 0.735 (0.751)	Data 0.001 (0.002)	Loss 2.8091 (2.7341)	Prec@1 35.156 (34.746)	Prec@5 60.156 (65.114)
Epoch: [29][4790/14090]	Time 0.760 (0.751)	Data 0.001 (0.002)	Loss 2.5303 (2.7339)	Prec@1 35.156 (34.752)	Prec@5 71.094 (65.118)
Epoch: [29][4800/14090]	Time 0.728 (0.751)	Data 0.001 (0.002)	Loss 2.7387 (2.7339)	Prec@1 32.812 (34.753)	Prec@5 64.062 (65.117)
Epoch: [29][4810/14090]	Time 0.732 (0.751)	Data 0.001 (0.002)	Loss 2.5810 (2.7338)	Prec@1 35.156 (34.753)	Prec@5 70.312 (65.118)
Epoch: [29][4820/14090]	Time 0.718 (0.751)	Data 0.001 (0.002)	Loss 2.8183 (2.7339)	Prec@1 29.688 (34.752)	Prec@5 67.188 (65.117)
Epoch: [29][4830/14090]	Time 0.728 (0.751)	Data 0.002 (0.002)	Loss 2.4804 (2.7338)	Prec@1 42.188 (34.753)	Prec@5 68.750 (65.116)
Epoch: [29][4840/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 2.5425 (2.7338)	Prec@1 35.938 (34.751)	Prec@5 67.188 (65.120)
Epoch: [29][4850/14090]	Time 0.780 (0.751)	Data 0.001 (0.002)	Loss 2.7861 (2.7338)	Prec@1 30.469 (34.753)	Prec@5 64.844 (65.118)
Epoch: [29][4860/14090]	Time 0.768 (0.751)	Data 0.001 (0.002)	Loss 3.0011 (2.7339)	Prec@1 32.031 (34.756)	Prec@5 63.281 (65.117)
Epoch: [29][4870/14090]	Time 0.744 (0.751)	Data 0.001 (0.002)	Loss 2.5788 (2.7339)	Prec@1 34.375 (34.757)	Prec@5 62.500 (65.115)
Epoch: [29][4880/14090]	Time 0.741 (0.751)	Data 0.001 (0.002)	Loss 2.8846 (2.7341)	Prec@1 31.250 (34.754)	Prec@5 66.406 (65.109)
Epoch: [29][4890/14090]	Time 0.759 (0.751)	Data 0.001 (0.002)	Loss 2.9623 (2.7343)	Prec@1 35.156 (34.752)	Prec@5 56.250 (65.105)
Epoch: [29][4900/14090]	Time 0.731 (0.751)	Data 0.002 (0.002)	Loss 2.3916 (2.7341)	Prec@1 42.188 (34.756)	Prec@5 76.562 (65.112)
Epoch: [29][4910/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 2.6193 (2.7341)	Prec@1 34.375 (34.754)	Prec@5 62.500 (65.114)
Epoch: [29][4920/14090]	Time 0.761 (0.751)	Data 0.001 (0.002)	Loss 2.7792 (2.7340)	Prec@1 36.719 (34.757)	Prec@5 64.062 (65.120)
Epoch: [29][4930/14090]	Time 0.733 (0.751)	Data 0.001 (0.002)	Loss 2.5514 (2.7341)	Prec@1 35.156 (34.755)	Prec@5 67.188 (65.116)
Epoch: [29][4940/14090]	Time 0.743 (0.751)	Data 0.001 (0.002)	Loss 2.7771 (2.7343)	Prec@1 38.281 (34.751)	Prec@5 64.062 (65.113)
Epoch: [29][4950/14090]	Time 0.772 (0.751)	Data 0.001 (0.002)	Loss 2.7566 (2.7344)	Prec@1 38.281 (34.748)	Prec@5 64.062 (65.109)
Epoch: [29][4960/14090]	Time 0.732 (0.751)	Data 0.001 (0.002)	Loss 2.5163 (2.7344)	Prec@1 36.719 (34.747)	Prec@5 70.312 (65.110)
Epoch: [29][4970/14090]	Time 0.725 (0.751)	Data 0.002 (0.002)	Loss 2.6393 (2.7343)	Prec@1 34.375 (34.749)	Prec@5 67.969 (65.113)
Epoch: [29][4980/14090]	Time 0.757 (0.751)	Data 0.001 (0.002)	Loss 2.7032 (2.7342)	Prec@1 35.938 (34.748)	Prec@5 63.281 (65.114)
Epoch: [29][4990/14090]	Time 0.729 (0.751)	Data 0.001 (0.002)	Loss 3.0093 (2.7343)	Prec@1 27.344 (34.744)	Prec@5 57.031 (65.114)
Epoch: [29][5000/14090]	Time 0.749 (0.751)	Data 0.001 (0.002)	Loss 2.7789 (2.7342)	Prec@1 35.938 (34.744)	Prec@5 65.625 (65.114)
Epoch: [29][5010/14090]	Time 0.733 (0.751)	Data 0.001 (0.002)	Loss 2.8969 (2.7342)	Prec@1 28.125 (34.744)	Prec@5 61.719 (65.114)
Epoch: [29][5020/14090]	Time 0.735 (0.751)	Data 0.001 (0.002)	Loss 3.2262 (2.7344)	Prec@1 25.781 (34.745)	Prec@5 58.594 (65.111)
Epoch: [29][5030/14090]	Time 0.751 (0.751)	Data 0.001 (0.002)	Loss 2.9215 (2.7343)	Prec@1 25.781 (34.745)	Prec@5 54.688 (65.110)
Epoch: [29][5040/14090]	Time 0.737 (0.751)	Data 0.003 (0.002)	Loss 2.6712 (2.7343)	Prec@1 35.938 (34.748)	Prec@5 70.312 (65.113)
Epoch: [29][5050/14090]	Time 0.731 (0.751)	Data 0.001 (0.002)	Loss 2.4768 (2.7342)	Prec@1 41.406 (34.751)	Prec@5 71.875 (65.112)
Epoch: [29][5060/14090]	Time 0.773 (0.751)	Data 0.001 (0.002)	Loss 2.5449 (2.7342)	Prec@1 39.062 (34.749)	Prec@5 69.531 (65.113)
Epoch: [29][5070/14090]	Time 0.764 (0.751)	Data 0.001 (0.002)	Loss 2.4590 (2.7344)	Prec@1 40.625 (34.750)	Prec@5 71.875 (65.108)
Epoch: [29][5080/14090]	Time 0.724 (0.751)	Data 0.001 (0.002)	Loss 2.8001 (2.7342)	Prec@1 33.594 (34.753)	Prec@5 64.062 (65.110)
Epoch: [29][5090/14090]	Time 0.726 (0.751)	Data 0.001 (0.002)	Loss 2.6756 (2.7341)	Prec@1 39.062 (34.757)	Prec@5 66.406 (65.114)
Epoch: [29][5100/14090]	Time 0.734 (0.751)	Data 0.001 (0.002)	Loss 2.6062 (2.7339)	Prec@1 36.719 (34.763)	Prec@5 67.969 (65.115)
Epoch: [29][5110/14090]	Time 0.778 (0.751)	Data 0.003 (0.002)	Loss 2.9741 (2.7340)	Prec@1 34.375 (34.763)	Prec@5 63.281 (65.113)
Epoch: [29][5120/14090]	Time 0.767 (0.751)	Data 0.001 (0.002)	Loss 2.8885 (2.7341)	Prec@1 33.594 (34.761)	Prec@5 63.281 (65.108)
Epoch: [29][5130/14090]	Time 0.787 (0.751)	Data 0.001 (0.002)	Loss 2.8059 (2.7342)	Prec@1 32.031 (34.757)	Prec@5 68.750 (65.106)
Epoch: [29][5140/14090]	Time 0.738 (0.751)	Data 0.001 (0.002)	Loss 2.8305 (2.7343)	Prec@1 37.500 (34.753)	Prec@5 62.500 (65.104)
Epoch: [29][5150/14090]	Time 0.751 (0.751)	Data 0.001 (0.002)	Loss 2.7768 (2.7343)	Prec@1 35.938 (34.752)	Prec@5 68.750 (65.103)
Epoch: [29][5160/14090]	Time 0.769 (0.751)	Data 0.001 (0.002)	Loss 2.7396 (2.7344)	Prec@1 37.500 (34.749)	Prec@5 64.062 (65.103)
Epoch: [29][5170/14090]	Time 0.724 (0.751)	Data 0.001 (0.002)	Loss 3.0123 (2.7343)	Prec@1 30.469 (34.750)	Prec@5 60.156 (65.107)
Epoch: [29][5180/14090]	Time 0.770 (0.751)	Data 0.002 (0.002)	Loss 2.7596 (2.7343)	Prec@1 34.375 (34.751)	Prec@5 64.062 (65.105)
Epoch: [29][5190/14090]	Time 0.741 (0.751)	Data 0.001 (0.002)	Loss 2.8479 (2.7342)	Prec@1 30.469 (34.754)	Prec@5 61.719 (65.106)
Epoch: [29][5200/14090]	Time 0.765 (0.751)	Data 0.001 (0.002)	Loss 2.2806 (2.7342)	Prec@1 41.406 (34.754)	Prec@5 73.438 (65.109)
Epoch: [29][5210/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 2.6326 (2.7342)	Prec@1 32.812 (34.752)	Prec@5 70.312 (65.108)
Epoch: [29][5220/14090]	Time 0.749 (0.751)	Data 0.001 (0.002)	Loss 2.6968 (2.7341)	Prec@1 31.250 (34.753)	Prec@5 62.500 (65.111)
Epoch: [29][5230/14090]	Time 0.763 (0.751)	Data 0.001 (0.002)	Loss 2.7415 (2.7341)	Prec@1 33.594 (34.749)	Prec@5 61.719 (65.111)
Epoch: [29][5240/14090]	Time 0.762 (0.751)	Data 0.001 (0.002)	Loss 2.7595 (2.7343)	Prec@1 35.156 (34.748)	Prec@5 62.500 (65.106)
Epoch: [29][5250/14090]	Time 0.732 (0.751)	Data 0.002 (0.002)	Loss 2.7498 (2.7344)	Prec@1 32.812 (34.742)	Prec@5 67.188 (65.103)
Epoch: [29][5260/14090]	Time 0.753 (0.751)	Data 0.001 (0.002)	Loss 2.4139 (2.7345)	Prec@1 42.188 (34.741)	Prec@5 66.406 (65.101)
Epoch: [29][5270/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 2.7109 (2.7344)	Prec@1 33.594 (34.741)	Prec@5 64.844 (65.102)
Epoch: [29][5280/14090]	Time 0.770 (0.751)	Data 0.001 (0.002)	Loss 2.7523 (2.7343)	Prec@1 39.844 (34.744)	Prec@5 62.500 (65.105)
Epoch: [29][5290/14090]	Time 0.740 (0.751)	Data 0.001 (0.002)	Loss 3.0400 (2.7344)	Prec@1 25.781 (34.739)	Prec@5 58.594 (65.106)
Epoch: [29][5300/14090]	Time 0.731 (0.751)	Data 0.001 (0.002)	Loss 3.1116 (2.7345)	Prec@1 27.344 (34.738)	Prec@5 51.562 (65.102)
Epoch: [29][5310/14090]	Time 0.752 (0.751)	Data 0.001 (0.002)	Loss 2.4728 (2.7344)	Prec@1 39.844 (34.742)	Prec@5 67.969 (65.103)
Epoch: [29][5320/14090]	Time 0.752 (0.751)	Data 0.002 (0.002)	Loss 2.4866 (2.7346)	Prec@1 38.281 (34.737)	Prec@5 69.531 (65.097)
Epoch: [29][5330/14090]	Time 0.731 (0.751)	Data 0.001 (0.002)	Loss 2.6744 (2.7344)	Prec@1 40.625 (34.741)	Prec@5 70.312 (65.102)
Epoch: [29][5340/14090]	Time 0.745 (0.751)	Data 0.001 (0.002)	Loss 2.6990 (2.7344)	Prec@1 36.719 (34.740)	Prec@5 60.938 (65.101)
Epoch: [29][5350/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 2.4875 (2.7344)	Prec@1 34.375 (34.741)	Prec@5 67.969 (65.102)
Epoch: [29][5360/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 2.8059 (2.7343)	Prec@1 34.375 (34.740)	Prec@5 70.312 (65.105)
Epoch: [29][5370/14090]	Time 0.756 (0.751)	Data 0.001 (0.002)	Loss 2.8395 (2.7343)	Prec@1 34.375 (34.740)	Prec@5 65.625 (65.105)
Epoch: [29][5380/14090]	Time 0.782 (0.751)	Data 0.001 (0.002)	Loss 2.7613 (2.7344)	Prec@1 36.719 (34.740)	Prec@5 64.844 (65.106)
Epoch: [29][5390/14090]	Time 0.750 (0.751)	Data 0.002 (0.002)	Loss 2.8373 (2.7344)	Prec@1 29.688 (34.739)	Prec@5 60.938 (65.107)
Epoch: [29][5400/14090]	Time 0.734 (0.751)	Data 0.001 (0.002)	Loss 2.6311 (2.7344)	Prec@1 38.281 (34.740)	Prec@5 64.062 (65.104)
Epoch: [29][5410/14090]	Time 0.783 (0.751)	Data 0.001 (0.002)	Loss 2.8048 (2.7344)	Prec@1 31.250 (34.736)	Prec@5 61.719 (65.102)
Epoch: [29][5420/14090]	Time 0.734 (0.751)	Data 0.001 (0.002)	Loss 2.5417 (2.7344)	Prec@1 42.969 (34.738)	Prec@5 71.094 (65.104)
Epoch: [29][5430/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 2.7869 (2.7343)	Prec@1 34.375 (34.740)	Prec@5 60.938 (65.104)
Epoch: [29][5440/14090]	Time 0.748 (0.751)	Data 0.001 (0.002)	Loss 2.7588 (2.7343)	Prec@1 34.375 (34.742)	Prec@5 63.281 (65.101)
Epoch: [29][5450/14090]	Time 0.757 (0.751)	Data 0.001 (0.002)	Loss 2.5449 (2.7344)	Prec@1 42.969 (34.743)	Prec@5 71.094 (65.099)
Epoch: [29][5460/14090]	Time 0.753 (0.751)	Data 0.002 (0.002)	Loss 2.7320 (2.7345)	Prec@1 32.031 (34.741)	Prec@5 65.625 (65.101)
Epoch: [29][5470/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 2.9639 (2.7344)	Prec@1 28.906 (34.744)	Prec@5 60.156 (65.104)
Epoch: [29][5480/14090]	Time 0.765 (0.751)	Data 0.001 (0.002)	Loss 2.7119 (2.7343)	Prec@1 33.594 (34.745)	Prec@5 70.312 (65.104)
Epoch: [29][5490/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 2.8494 (2.7342)	Prec@1 28.906 (34.748)	Prec@5 63.281 (65.107)
Epoch: [29][5500/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 2.6083 (2.7341)	Prec@1 38.281 (34.751)	Prec@5 65.625 (65.105)
Epoch: [29][5510/14090]	Time 0.751 (0.751)	Data 0.001 (0.002)	Loss 2.7593 (2.7342)	Prec@1 32.812 (34.750)	Prec@5 64.844 (65.105)
Epoch: [29][5520/14090]	Time 0.759 (0.751)	Data 0.001 (0.002)	Loss 2.8555 (2.7342)	Prec@1 34.375 (34.747)	Prec@5 61.719 (65.106)
Epoch: [29][5530/14090]	Time 0.738 (0.751)	Data 0.002 (0.002)	Loss 2.5568 (2.7343)	Prec@1 39.844 (34.745)	Prec@5 71.094 (65.103)
Epoch: [29][5540/14090]	Time 0.774 (0.751)	Data 0.001 (0.002)	Loss 2.7309 (2.7343)	Prec@1 32.812 (34.742)	Prec@5 63.281 (65.104)
Epoch: [29][5550/14090]	Time 0.775 (0.751)	Data 0.001 (0.002)	Loss 2.5671 (2.7343)	Prec@1 39.062 (34.744)	Prec@5 64.844 (65.103)
Epoch: [29][5560/14090]	Time 0.729 (0.751)	Data 0.001 (0.002)	Loss 2.7011 (2.7343)	Prec@1 35.938 (34.744)	Prec@5 68.750 (65.101)
Epoch: [29][5570/14090]	Time 0.751 (0.751)	Data 0.001 (0.002)	Loss 2.9283 (2.7343)	Prec@1 28.125 (34.744)	Prec@5 64.844 (65.102)
Epoch: [29][5580/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 2.8709 (2.7342)	Prec@1 32.812 (34.746)	Prec@5 59.375 (65.104)
Epoch: [29][5590/14090]	Time 0.748 (0.751)	Data 0.001 (0.002)	Loss 2.6580 (2.7342)	Prec@1 33.594 (34.745)	Prec@5 67.969 (65.103)
Epoch: [29][5600/14090]	Time 0.746 (0.751)	Data 0.004 (0.002)	Loss 2.9165 (2.7342)	Prec@1 29.688 (34.744)	Prec@5 64.062 (65.104)
Epoch: [29][5610/14090]	Time 0.738 (0.751)	Data 0.001 (0.002)	Loss 2.8454 (2.7342)	Prec@1 31.250 (34.745)	Prec@5 62.500 (65.102)
Epoch: [29][5620/14090]	Time 0.748 (0.751)	Data 0.001 (0.002)	Loss 2.8674 (2.7343)	Prec@1 32.812 (34.745)	Prec@5 64.062 (65.102)
Epoch: [29][5630/14090]	Time 0.740 (0.751)	Data 0.001 (0.002)	Loss 3.0034 (2.7344)	Prec@1 35.156 (34.740)	Prec@5 60.156 (65.099)
Epoch: [29][5640/14090]	Time 0.758 (0.751)	Data 0.001 (0.002)	Loss 2.7725 (2.7344)	Prec@1 23.438 (34.736)	Prec@5 67.188 (65.100)
Epoch: [29][5650/14090]	Time 0.766 (0.751)	Data 0.001 (0.002)	Loss 2.7271 (2.7343)	Prec@1 33.594 (34.738)	Prec@5 67.969 (65.100)
Epoch: [29][5660/14090]	Time 0.752 (0.751)	Data 0.001 (0.002)	Loss 2.7022 (2.7342)	Prec@1 42.188 (34.738)	Prec@5 64.062 (65.100)
Epoch: [29][5670/14090]	Time 0.767 (0.751)	Data 0.002 (0.002)	Loss 2.6560 (2.7342)	Prec@1 38.281 (34.738)	Prec@5 66.406 (65.100)
Epoch: [29][5680/14090]	Time 0.736 (0.751)	Data 0.001 (0.002)	Loss 2.7810 (2.7342)	Prec@1 33.594 (34.738)	Prec@5 62.500 (65.097)
Epoch: [29][5690/14090]	Time 0.755 (0.751)	Data 0.003 (0.002)	Loss 2.8357 (2.7342)	Prec@1 38.281 (34.740)	Prec@5 59.375 (65.097)
Epoch: [29][5700/14090]	Time 0.741 (0.751)	Data 0.001 (0.002)	Loss 2.8356 (2.7342)	Prec@1 28.906 (34.741)	Prec@5 61.719 (65.098)
Epoch: [29][5710/14090]	Time 0.750 (0.751)	Data 0.001 (0.002)	Loss 2.9573 (2.7343)	Prec@1 27.344 (34.740)	Prec@5 63.281 (65.099)
Epoch: [29][5720/14090]	Time 0.731 (0.751)	Data 0.001 (0.002)	Loss 2.7004 (2.7343)	Prec@1 34.375 (34.743)	Prec@5 65.625 (65.101)
Epoch: [29][5730/14090]	Time 0.751 (0.751)	Data 0.001 (0.002)	Loss 2.5780 (2.7342)	Prec@1 33.594 (34.746)	Prec@5 67.188 (65.102)
Epoch: [29][5740/14090]	Time 0.769 (0.751)	Data 0.002 (0.002)	Loss 2.8849 (2.7343)	Prec@1 30.469 (34.742)	Prec@5 60.938 (65.099)
Epoch: [29][5750/14090]	Time 0.758 (0.751)	Data 0.001 (0.002)	Loss 2.5290 (2.7344)	Prec@1 32.812 (34.739)	Prec@5 64.844 (65.098)
Epoch: [29][5760/14090]	Time 0.748 (0.751)	Data 0.001 (0.002)	Loss 2.8697 (2.7345)	Prec@1 30.469 (34.736)	Prec@5 62.500 (65.095)
Epoch: [29][5770/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 2.7091 (2.7345)	Prec@1 36.719 (34.736)	Prec@5 64.062 (65.095)
Epoch: [29][5780/14090]	Time 0.774 (0.751)	Data 0.001 (0.002)	Loss 2.4226 (2.7346)	Prec@1 42.188 (34.735)	Prec@5 71.094 (65.092)
Epoch: [29][5790/14090]	Time 0.746 (0.751)	Data 0.001 (0.002)	Loss 2.4695 (2.7347)	Prec@1 43.750 (34.731)	Prec@5 69.531 (65.093)
Epoch: [29][5800/14090]	Time 0.773 (0.751)	Data 0.001 (0.002)	Loss 3.0396 (2.7348)	Prec@1 33.594 (34.728)	Prec@5 60.938 (65.092)
Epoch: [29][5810/14090]	Time 0.737 (0.751)	Data 0.002 (0.002)	Loss 2.7034 (2.7345)	Prec@1 32.031 (34.733)	Prec@5 64.062 (65.095)
Epoch: [29][5820/14090]	Time 0.736 (0.751)	Data 0.001 (0.002)	Loss 2.8973 (2.7345)	Prec@1 32.812 (34.734)	Prec@5 64.844 (65.096)
Epoch: [29][5830/14090]	Time 0.729 (0.751)	Data 0.001 (0.002)	Loss 2.8339 (2.7345)	Prec@1 35.156 (34.731)	Prec@5 60.156 (65.094)
Epoch: [29][5840/14090]	Time 0.738 (0.751)	Data 0.001 (0.002)	Loss 2.6325 (2.7345)	Prec@1 36.719 (34.731)	Prec@5 67.969 (65.094)
Epoch: [29][5850/14090]	Time 0.743 (0.751)	Data 0.001 (0.002)	Loss 2.8789 (2.7345)	Prec@1 28.906 (34.731)	Prec@5 57.812 (65.093)
Epoch: [29][5860/14090]	Time 0.787 (0.751)	Data 0.001 (0.002)	Loss 2.8004 (2.7345)	Prec@1 29.688 (34.731)	Prec@5 60.938 (65.093)
Epoch: [29][5870/14090]	Time 0.745 (0.751)	Data 0.001 (0.002)	Loss 2.6039 (2.7346)	Prec@1 40.625 (34.729)	Prec@5 64.844 (65.094)
Epoch: [29][5880/14090]	Time 0.755 (0.751)	Data 0.002 (0.002)	Loss 2.9270 (2.7346)	Prec@1 33.594 (34.732)	Prec@5 67.188 (65.094)
Epoch: [29][5890/14090]	Time 0.756 (0.751)	Data 0.001 (0.002)	Loss 2.8443 (2.7345)	Prec@1 28.125 (34.732)	Prec@5 64.062 (65.098)
Epoch: [29][5900/14090]	Time 0.774 (0.751)	Data 0.001 (0.002)	Loss 2.5075 (2.7345)	Prec@1 39.062 (34.732)	Prec@5 74.219 (65.102)
Epoch: [29][5910/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 2.6609 (2.7344)	Prec@1 28.125 (34.730)	Prec@5 66.406 (65.101)
Epoch: [29][5920/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 2.9374 (2.7344)	Prec@1 29.688 (34.728)	Prec@5 57.031 (65.097)
Epoch: [29][5930/14090]	Time 0.731 (0.751)	Data 0.001 (0.002)	Loss 2.6457 (2.7343)	Prec@1 36.719 (34.729)	Prec@5 64.844 (65.097)
Epoch: [29][5940/14090]	Time 0.776 (0.751)	Data 0.001 (0.002)	Loss 2.8267 (2.7345)	Prec@1 37.500 (34.725)	Prec@5 66.406 (65.096)
Epoch: [29][5950/14090]	Time 0.746 (0.751)	Data 0.005 (0.002)	Loss 3.0500 (2.7345)	Prec@1 30.469 (34.725)	Prec@5 59.375 (65.096)
Epoch: [29][5960/14090]	Time 0.735 (0.751)	Data 0.001 (0.002)	Loss 2.8367 (2.7346)	Prec@1 32.031 (34.720)	Prec@5 68.750 (65.094)
Epoch: [29][5970/14090]	Time 0.737 (0.751)	Data 0.001 (0.002)	Loss 2.6535 (2.7346)	Prec@1 32.812 (34.718)	Prec@5 67.188 (65.095)
Epoch: [29][5980/14090]	Time 0.735 (0.751)	Data 0.001 (0.002)	Loss 2.5808 (2.7345)	Prec@1 38.281 (34.716)	Prec@5 68.750 (65.094)
Epoch: [29][5990/14090]	Time 0.733 (0.751)	Data 0.001 (0.002)	Loss 2.5852 (2.7345)	Prec@1 41.406 (34.718)	Prec@5 66.406 (65.097)
Epoch: [29][6000/14090]	Time 0.784 (0.751)	Data 0.001 (0.002)	Loss 2.5506 (2.7347)	Prec@1 36.719 (34.719)	Prec@5 71.875 (65.095)
Epoch: [29][6010/14090]	Time 0.763 (0.751)	Data 0.001 (0.002)	Loss 2.6431 (2.7346)	Prec@1 35.938 (34.718)	Prec@5 67.969 (65.095)
Epoch: [29][6020/14090]	Time 0.780 (0.751)	Data 0.004 (0.002)	Loss 2.6928 (2.7346)	Prec@1 28.906 (34.719)	Prec@5 60.156 (65.093)
Epoch: [29][6030/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 2.5579 (2.7346)	Prec@1 39.844 (34.719)	Prec@5 71.094 (65.093)
Epoch: [29][6040/14090]	Time 0.772 (0.751)	Data 0.001 (0.002)	Loss 2.6446 (2.7344)	Prec@1 37.500 (34.721)	Prec@5 69.531 (65.096)
Epoch: [29][6050/14090]	Time 0.730 (0.751)	Data 0.001 (0.002)	Loss 2.8040 (2.7345)	Prec@1 39.844 (34.723)	Prec@5 65.625 (65.096)
Epoch: [29][6060/14090]	Time 0.753 (0.751)	Data 0.001 (0.002)	Loss 2.7768 (2.7346)	Prec@1 28.906 (34.722)	Prec@5 64.844 (65.091)
Epoch: [29][6070/14090]	Time 0.746 (0.751)	Data 0.001 (0.002)	Loss 2.4766 (2.7347)	Prec@1 39.062 (34.716)	Prec@5 69.531 (65.089)
Epoch: [29][6080/14090]	Time 0.741 (0.751)	Data 0.001 (0.002)	Loss 2.7559 (2.7345)	Prec@1 34.375 (34.717)	Prec@5 66.406 (65.093)
Epoch: [29][6090/14090]	Time 0.768 (0.751)	Data 0.002 (0.002)	Loss 2.7115 (2.7344)	Prec@1 36.719 (34.720)	Prec@5 65.625 (65.094)
Epoch: [29][6100/14090]	Time 0.738 (0.751)	Data 0.001 (0.002)	Loss 2.8114 (2.7345)	Prec@1 35.938 (34.717)	Prec@5 64.062 (65.093)
Epoch: [29][6110/14090]	Time 0.745 (0.751)	Data 0.002 (0.002)	Loss 2.6688 (2.7345)	Prec@1 37.500 (34.718)	Prec@5 66.406 (65.093)
Epoch: [29][6120/14090]	Time 0.740 (0.751)	Data 0.001 (0.002)	Loss 2.8553 (2.7346)	Prec@1 39.062 (34.718)	Prec@5 62.500 (65.090)
Epoch: [29][6130/14090]	Time 0.760 (0.751)	Data 0.001 (0.002)	Loss 2.8209 (2.7348)	Prec@1 35.156 (34.714)	Prec@5 66.406 (65.088)
Epoch: [29][6140/14090]	Time 0.731 (0.751)	Data 0.001 (0.002)	Loss 2.6746 (2.7348)	Prec@1 35.156 (34.716)	Prec@5 67.969 (65.090)
Epoch: [29][6150/14090]	Time 0.730 (0.751)	Data 0.001 (0.002)	Loss 2.6878 (2.7348)	Prec@1 32.031 (34.713)	Prec@5 60.938 (65.088)
Epoch: [29][6160/14090]	Time 0.734 (0.751)	Data 0.003 (0.002)	Loss 2.7228 (2.7348)	Prec@1 33.594 (34.714)	Prec@5 64.062 (65.085)
Epoch: [29][6170/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 2.6935 (2.7348)	Prec@1 35.156 (34.713)	Prec@5 67.188 (65.085)
Epoch: [29][6180/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 2.9307 (2.7349)	Prec@1 31.250 (34.713)	Prec@5 66.406 (65.086)
Epoch: [29][6190/14090]	Time 0.748 (0.751)	Data 0.001 (0.002)	Loss 2.6264 (2.7349)	Prec@1 40.625 (34.715)	Prec@5 61.719 (65.082)
Epoch: [29][6200/14090]	Time 0.734 (0.751)	Data 0.001 (0.002)	Loss 2.9668 (2.7350)	Prec@1 34.375 (34.712)	Prec@5 60.938 (65.078)
Epoch: [29][6210/14090]	Time 0.735 (0.751)	Data 0.001 (0.002)	Loss 2.4593 (2.7350)	Prec@1 39.062 (34.708)	Prec@5 65.625 (65.078)
Epoch: [29][6220/14090]	Time 0.733 (0.751)	Data 0.001 (0.002)	Loss 2.8331 (2.7350)	Prec@1 26.562 (34.705)	Prec@5 60.938 (65.078)
Epoch: [29][6230/14090]	Time 0.733 (0.751)	Data 0.002 (0.002)	Loss 2.4235 (2.7349)	Prec@1 39.844 (34.709)	Prec@5 71.094 (65.081)
Epoch: [29][6240/14090]	Time 0.727 (0.751)	Data 0.001 (0.002)	Loss 3.0242 (2.7350)	Prec@1 32.031 (34.707)	Prec@5 61.719 (65.082)
Epoch: [29][6250/14090]	Time 0.767 (0.751)	Data 0.001 (0.002)	Loss 2.9136 (2.7350)	Prec@1 39.844 (34.709)	Prec@5 65.625 (65.082)
Epoch: [29][6260/14090]	Time 0.759 (0.751)	Data 0.001 (0.002)	Loss 2.7161 (2.7349)	Prec@1 34.375 (34.710)	Prec@5 65.625 (65.085)
Epoch: [29][6270/14090]	Time 0.722 (0.751)	Data 0.001 (0.002)	Loss 2.6387 (2.7350)	Prec@1 34.375 (34.710)	Prec@5 72.656 (65.086)
Epoch: [29][6280/14090]	Time 0.735 (0.751)	Data 0.001 (0.002)	Loss 2.7490 (2.7351)	Prec@1 33.594 (34.706)	Prec@5 58.594 (65.083)
Epoch: [29][6290/14090]	Time 0.737 (0.751)	Data 0.001 (0.002)	Loss 2.7171 (2.7350)	Prec@1 38.281 (34.710)	Prec@5 62.500 (65.086)
Epoch: [29][6300/14090]	Time 0.769 (0.751)	Data 0.002 (0.002)	Loss 2.6234 (2.7351)	Prec@1 35.156 (34.707)	Prec@5 70.312 (65.084)
Epoch: [29][6310/14090]	Time 0.729 (0.751)	Data 0.001 (0.002)	Loss 2.6978 (2.7349)	Prec@1 31.250 (34.708)	Prec@5 64.062 (65.083)
Epoch: [29][6320/14090]	Time 0.741 (0.751)	Data 0.001 (0.002)	Loss 2.4985 (2.7348)	Prec@1 38.281 (34.709)	Prec@5 70.312 (65.085)
Epoch: [29][6330/14090]	Time 0.776 (0.751)	Data 0.001 (0.002)	Loss 2.7312 (2.7348)	Prec@1 35.156 (34.710)	Prec@5 61.719 (65.084)
Epoch: [29][6340/14090]	Time 0.730 (0.751)	Data 0.001 (0.002)	Loss 2.5301 (2.7345)	Prec@1 39.062 (34.713)	Prec@5 70.312 (65.090)
Epoch: [29][6350/14090]	Time 0.787 (0.751)	Data 0.001 (0.002)	Loss 2.8111 (2.7347)	Prec@1 32.031 (34.712)	Prec@5 60.156 (65.087)
Epoch: [29][6360/14090]	Time 0.753 (0.751)	Data 0.001 (0.002)	Loss 2.7043 (2.7346)	Prec@1 32.812 (34.712)	Prec@5 67.188 (65.087)
Epoch: [29][6370/14090]	Time 0.750 (0.751)	Data 0.002 (0.002)	Loss 2.7198 (2.7346)	Prec@1 33.594 (34.710)	Prec@5 68.750 (65.085)
Epoch: [29][6380/14090]	Time 0.782 (0.751)	Data 0.002 (0.002)	Loss 2.8127 (2.7347)	Prec@1 26.562 (34.706)	Prec@5 61.719 (65.083)
Epoch: [29][6390/14090]	Time 0.732 (0.751)	Data 0.001 (0.002)	Loss 2.7487 (2.7348)	Prec@1 32.812 (34.703)	Prec@5 64.844 (65.084)
Epoch: [29][6400/14090]	Time 0.732 (0.751)	Data 0.001 (0.002)	Loss 2.6889 (2.7349)	Prec@1 32.812 (34.699)	Prec@5 66.406 (65.083)
Epoch: [29][6410/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 2.6496 (2.7349)	Prec@1 39.062 (34.696)	Prec@5 64.844 (65.084)
Epoch: [29][6420/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 2.5468 (2.7350)	Prec@1 32.812 (34.698)	Prec@5 68.750 (65.083)
Epoch: [29][6430/14090]	Time 0.743 (0.751)	Data 0.001 (0.002)	Loss 2.7099 (2.7351)	Prec@1 37.500 (34.697)	Prec@5 66.406 (65.082)
Epoch: [29][6440/14090]	Time 0.775 (0.751)	Data 0.003 (0.002)	Loss 2.5588 (2.7349)	Prec@1 42.188 (34.699)	Prec@5 67.188 (65.085)
Epoch: [29][6450/14090]	Time 0.751 (0.751)	Data 0.001 (0.002)	Loss 2.7578 (2.7350)	Prec@1 34.375 (34.702)	Prec@5 59.375 (65.084)
Epoch: [29][6460/14090]	Time 0.770 (0.751)	Data 0.001 (0.002)	Loss 2.6555 (2.7350)	Prec@1 39.062 (34.702)	Prec@5 61.719 (65.084)
Epoch: [29][6470/14090]	Time 0.775 (0.751)	Data 0.001 (0.002)	Loss 2.7961 (2.7349)	Prec@1 32.812 (34.703)	Prec@5 64.062 (65.085)
Epoch: [29][6480/14090]	Time 0.730 (0.751)	Data 0.001 (0.002)	Loss 2.5214 (2.7348)	Prec@1 38.281 (34.701)	Prec@5 70.312 (65.087)
Epoch: [29][6490/14090]	Time 0.734 (0.751)	Data 0.001 (0.002)	Loss 2.7582 (2.7348)	Prec@1 35.938 (34.702)	Prec@5 65.625 (65.087)
Epoch: [29][6500/14090]	Time 0.763 (0.751)	Data 0.001 (0.002)	Loss 3.0759 (2.7348)	Prec@1 28.125 (34.700)	Prec@5 61.719 (65.087)
Epoch: [29][6510/14090]	Time 0.729 (0.751)	Data 0.002 (0.002)	Loss 2.8670 (2.7348)	Prec@1 35.938 (34.701)	Prec@5 60.938 (65.089)
Epoch: [29][6520/14090]	Time 0.774 (0.751)	Data 0.001 (0.002)	Loss 2.7362 (2.7348)	Prec@1 33.594 (34.701)	Prec@5 61.719 (65.090)
Epoch: [29][6530/14090]	Time 0.752 (0.751)	Data 0.001 (0.002)	Loss 2.7142 (2.7347)	Prec@1 37.500 (34.704)	Prec@5 65.625 (65.090)
Epoch: [29][6540/14090]	Time 0.766 (0.751)	Data 0.001 (0.002)	Loss 2.7972 (2.7347)	Prec@1 32.812 (34.705)	Prec@5 65.625 (65.093)
Epoch: [29][6550/14090]	Time 0.785 (0.751)	Data 0.001 (0.002)	Loss 2.7768 (2.7348)	Prec@1 39.844 (34.704)	Prec@5 67.969 (65.093)
Epoch: [29][6560/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 2.7720 (2.7349)	Prec@1 36.719 (34.701)	Prec@5 63.281 (65.088)
Epoch: [29][6570/14090]	Time 0.758 (0.751)	Data 0.001 (0.002)	Loss 3.0362 (2.7349)	Prec@1 32.031 (34.701)	Prec@5 58.594 (65.086)
Epoch: [29][6580/14090]	Time 0.754 (0.751)	Data 0.002 (0.002)	Loss 2.7245 (2.7348)	Prec@1 33.594 (34.703)	Prec@5 67.188 (65.092)
Epoch: [29][6590/14090]	Time 0.738 (0.751)	Data 0.001 (0.002)	Loss 2.5344 (2.7349)	Prec@1 35.156 (34.700)	Prec@5 72.656 (65.091)
Epoch: [29][6600/14090]	Time 0.744 (0.751)	Data 0.001 (0.002)	Loss 2.8938 (2.7349)	Prec@1 38.281 (34.698)	Prec@5 66.406 (65.086)
Epoch: [29][6610/14090]	Time 0.764 (0.751)	Data 0.001 (0.002)	Loss 2.9398 (2.7350)	Prec@1 36.719 (34.697)	Prec@5 60.156 (65.082)
Epoch: [29][6620/14090]	Time 0.732 (0.751)	Data 0.001 (0.002)	Loss 3.0564 (2.7350)	Prec@1 32.031 (34.696)	Prec@5 57.812 (65.083)
Epoch: [29][6630/14090]	Time 0.744 (0.751)	Data 0.001 (0.002)	Loss 2.5268 (2.7350)	Prec@1 39.844 (34.695)	Prec@5 67.188 (65.083)
Epoch: [29][6640/14090]	Time 0.738 (0.751)	Data 0.001 (0.002)	Loss 2.6948 (2.7350)	Prec@1 38.281 (34.697)	Prec@5 63.281 (65.083)
Epoch: [29][6650/14090]	Time 0.753 (0.751)	Data 0.002 (0.002)	Loss 2.8678 (2.7350)	Prec@1 30.469 (34.697)	Prec@5 59.375 (65.082)
Epoch: [29][6660/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 2.9854 (2.7350)	Prec@1 31.250 (34.699)	Prec@5 57.031 (65.083)
Epoch: [29][6670/14090]	Time 0.749 (0.751)	Data 0.001 (0.002)	Loss 2.6008 (2.7349)	Prec@1 39.062 (34.700)	Prec@5 67.188 (65.087)
Epoch: [29][6680/14090]	Time 0.760 (0.751)	Data 0.001 (0.002)	Loss 2.8526 (2.7349)	Prec@1 33.594 (34.699)	Prec@5 60.938 (65.088)
Epoch: [29][6690/14090]	Time 0.777 (0.751)	Data 0.001 (0.002)	Loss 2.8523 (2.7350)	Prec@1 31.250 (34.698)	Prec@5 60.938 (65.084)
Epoch: [29][6700/14090]	Time 0.768 (0.751)	Data 0.001 (0.002)	Loss 2.8288 (2.7350)	Prec@1 32.812 (34.699)	Prec@5 62.500 (65.083)
Epoch: [29][6710/14090]	Time 0.727 (0.751)	Data 0.001 (0.002)	Loss 2.6734 (2.7351)	Prec@1 36.719 (34.696)	Prec@5 64.844 (65.081)
Epoch: [29][6720/14090]	Time 0.732 (0.751)	Data 0.002 (0.002)	Loss 2.5807 (2.7351)	Prec@1 41.406 (34.700)	Prec@5 71.094 (65.082)
Epoch: [29][6730/14090]	Time 0.750 (0.751)	Data 0.001 (0.002)	Loss 2.7113 (2.7352)	Prec@1 39.062 (34.697)	Prec@5 66.406 (65.080)
Epoch: [29][6740/14090]	Time 0.749 (0.751)	Data 0.001 (0.002)	Loss 2.6352 (2.7352)	Prec@1 37.500 (34.696)	Prec@5 67.969 (65.081)
Epoch: [29][6750/14090]	Time 0.764 (0.751)	Data 0.001 (0.002)	Loss 2.9654 (2.7351)	Prec@1 33.594 (34.696)	Prec@5 57.812 (65.082)
Epoch: [29][6760/14090]	Time 0.753 (0.751)	Data 0.001 (0.002)	Loss 2.7173 (2.7351)	Prec@1 40.625 (34.701)	Prec@5 66.406 (65.083)
Epoch: [29][6770/14090]	Time 0.733 (0.751)	Data 0.001 (0.002)	Loss 3.0325 (2.7352)	Prec@1 28.906 (34.696)	Prec@5 60.156 (65.083)
Epoch: [29][6780/14090]	Time 0.777 (0.751)	Data 0.001 (0.002)	Loss 2.6853 (2.7351)	Prec@1 39.844 (34.696)	Prec@5 64.844 (65.085)
Epoch: [29][6790/14090]	Time 0.745 (0.751)	Data 0.002 (0.002)	Loss 2.4887 (2.7352)	Prec@1 38.281 (34.696)	Prec@5 64.844 (65.085)
Epoch: [29][6800/14090]	Time 0.769 (0.751)	Data 0.001 (0.002)	Loss 2.7196 (2.7352)	Prec@1 36.719 (34.696)	Prec@5 65.625 (65.085)
Epoch: [29][6810/14090]	Time 0.736 (0.751)	Data 0.001 (0.002)	Loss 2.8492 (2.7353)	Prec@1 29.688 (34.695)	Prec@5 62.500 (65.083)
Epoch: [29][6820/14090]	Time 0.760 (0.751)	Data 0.001 (0.002)	Loss 2.6920 (2.7353)	Prec@1 31.250 (34.695)	Prec@5 67.188 (65.084)
Epoch: [29][6830/14090]	Time 0.735 (0.751)	Data 0.001 (0.002)	Loss 2.6506 (2.7352)	Prec@1 38.281 (34.697)	Prec@5 66.406 (65.089)
Epoch: [29][6840/14090]	Time 0.732 (0.751)	Data 0.001 (0.002)	Loss 2.8950 (2.7353)	Prec@1 28.906 (34.695)	Prec@5 61.719 (65.087)
Epoch: [29][6850/14090]	Time 0.766 (0.751)	Data 0.001 (0.002)	Loss 2.7165 (2.7353)	Prec@1 30.469 (34.696)	Prec@5 61.719 (65.087)
Epoch: [29][6860/14090]	Time 0.741 (0.751)	Data 0.002 (0.002)	Loss 2.7389 (2.7353)	Prec@1 33.594 (34.694)	Prec@5 60.938 (65.086)
Epoch: [29][6870/14090]	Time 0.752 (0.751)	Data 0.001 (0.002)	Loss 2.8173 (2.7353)	Prec@1 33.594 (34.693)	Prec@5 60.156 (65.084)
Epoch: [29][6880/14090]	Time 0.771 (0.751)	Data 0.003 (0.002)	Loss 3.1717 (2.7354)	Prec@1 28.906 (34.691)	Prec@5 56.250 (65.086)
Epoch: [29][6890/14090]	Time 0.770 (0.751)	Data 0.001 (0.002)	Loss 2.4495 (2.7352)	Prec@1 36.719 (34.693)	Prec@5 68.750 (65.088)
Epoch: [29][6900/14090]	Time 0.733 (0.751)	Data 0.001 (0.002)	Loss 2.8707 (2.7353)	Prec@1 32.031 (34.691)	Prec@5 65.625 (65.087)
Epoch: [29][6910/14090]	Time 0.725 (0.751)	Data 0.001 (0.002)	Loss 2.7041 (2.7352)	Prec@1 34.375 (34.693)	Prec@5 66.406 (65.088)
Epoch: [29][6920/14090]	Time 0.749 (0.751)	Data 0.001 (0.002)	Loss 2.6908 (2.7352)	Prec@1 35.938 (34.694)	Prec@5 65.625 (65.086)
Epoch: [29][6930/14090]	Time 0.738 (0.751)	Data 0.004 (0.002)	Loss 2.8740 (2.7352)	Prec@1 30.469 (34.692)	Prec@5 64.844 (65.086)
Epoch: [29][6940/14090]	Time 0.768 (0.751)	Data 0.001 (0.002)	Loss 2.7210 (2.7354)	Prec@1 32.812 (34.690)	Prec@5 61.719 (65.082)
Epoch: [29][6950/14090]	Time 0.776 (0.751)	Data 0.001 (0.002)	Loss 2.9887 (2.7355)	Prec@1 31.250 (34.688)	Prec@5 58.594 (65.079)
Epoch: [29][6960/14090]	Time 0.763 (0.751)	Data 0.001 (0.002)	Loss 2.6020 (2.7355)	Prec@1 28.906 (34.686)	Prec@5 70.312 (65.079)
Epoch: [29][6970/14090]	Time 0.740 (0.751)	Data 0.001 (0.002)	Loss 2.5382 (2.7356)	Prec@1 38.281 (34.684)	Prec@5 65.625 (65.077)
Epoch: [29][6980/14090]	Time 0.770 (0.751)	Data 0.001 (0.002)	Loss 2.7367 (2.7357)	Prec@1 35.156 (34.682)	Prec@5 61.719 (65.076)
Epoch: [29][6990/14090]	Time 0.804 (0.751)	Data 0.001 (0.002)	Loss 2.8417 (2.7357)	Prec@1 34.375 (34.684)	Prec@5 58.594 (65.078)
Epoch: [29][7000/14090]	Time 0.733 (0.751)	Data 0.002 (0.002)	Loss 2.5945 (2.7357)	Prec@1 39.844 (34.686)	Prec@5 67.188 (65.079)
Epoch: [29][7010/14090]	Time 0.737 (0.751)	Data 0.001 (0.002)	Loss 2.3775 (2.7356)	Prec@1 39.844 (34.687)	Prec@5 72.656 (65.081)
Epoch: [29][7020/14090]	Time 0.756 (0.751)	Data 0.001 (0.002)	Loss 2.8207 (2.7356)	Prec@1 33.594 (34.687)	Prec@5 57.812 (65.080)
Epoch: [29][7030/14090]	Time 0.738 (0.751)	Data 0.001 (0.002)	Loss 2.5018 (2.7356)	Prec@1 40.625 (34.686)	Prec@5 66.406 (65.079)
Epoch: [29][7040/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 2.7090 (2.7356)	Prec@1 33.594 (34.687)	Prec@5 66.406 (65.080)
Epoch: [29][7050/14090]	Time 0.728 (0.751)	Data 0.001 (0.002)	Loss 2.5381 (2.7357)	Prec@1 35.156 (34.685)	Prec@5 67.969 (65.077)
Epoch: [29][7060/14090]	Time 0.768 (0.751)	Data 0.001 (0.002)	Loss 2.8595 (2.7358)	Prec@1 35.156 (34.684)	Prec@5 66.406 (65.076)
Epoch: [29][7070/14090]	Time 0.748 (0.751)	Data 0.002 (0.002)	Loss 2.6558 (2.7357)	Prec@1 37.500 (34.688)	Prec@5 65.625 (65.077)
Epoch: [29][7080/14090]	Time 0.779 (0.751)	Data 0.001 (0.002)	Loss 2.9743 (2.7356)	Prec@1 28.125 (34.685)	Prec@5 64.062 (65.077)
Epoch: [29][7090/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 2.7471 (2.7357)	Prec@1 33.594 (34.685)	Prec@5 66.406 (65.074)
Epoch: [29][7100/14090]	Time 0.757 (0.751)	Data 0.001 (0.002)	Loss 2.5372 (2.7358)	Prec@1 35.938 (34.685)	Prec@5 68.750 (65.072)
Epoch: [29][7110/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 2.4172 (2.7358)	Prec@1 39.062 (34.686)	Prec@5 72.656 (65.073)
Epoch: [29][7120/14090]	Time 0.741 (0.751)	Data 0.001 (0.002)	Loss 2.6450 (2.7357)	Prec@1 32.031 (34.686)	Prec@5 70.312 (65.074)
Epoch: [29][7130/14090]	Time 0.776 (0.751)	Data 0.001 (0.002)	Loss 2.6563 (2.7357)	Prec@1 35.156 (34.685)	Prec@5 66.406 (65.073)
Epoch: [29][7140/14090]	Time 0.786 (0.751)	Data 0.002 (0.002)	Loss 2.8899 (2.7356)	Prec@1 33.594 (34.687)	Prec@5 63.281 (65.077)
Epoch: [29][7150/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 3.2211 (2.7357)	Prec@1 23.438 (34.686)	Prec@5 54.688 (65.076)
Epoch: [29][7160/14090]	Time 0.757 (0.751)	Data 0.001 (0.002)	Loss 2.8355 (2.7359)	Prec@1 32.031 (34.684)	Prec@5 68.750 (65.073)
Epoch: [29][7170/14090]	Time 0.757 (0.751)	Data 0.001 (0.002)	Loss 2.5912 (2.7358)	Prec@1 39.062 (34.682)	Prec@5 66.406 (65.073)
Epoch: [29][7180/14090]	Time 0.764 (0.751)	Data 0.001 (0.002)	Loss 2.6044 (2.7358)	Prec@1 35.156 (34.683)	Prec@5 70.312 (65.073)
Epoch: [29][7190/14090]	Time 0.729 (0.751)	Data 0.001 (0.002)	Loss 2.5168 (2.7359)	Prec@1 36.719 (34.679)	Prec@5 68.750 (65.074)
Epoch: [29][7200/14090]	Time 0.775 (0.751)	Data 0.001 (0.002)	Loss 2.7106 (2.7360)	Prec@1 34.375 (34.676)	Prec@5 64.062 (65.072)
Epoch: [29][7210/14090]	Time 0.739 (0.751)	Data 0.002 (0.002)	Loss 3.1234 (2.7361)	Prec@1 27.344 (34.675)	Prec@5 55.469 (65.069)
Epoch: [29][7220/14090]	Time 0.751 (0.751)	Data 0.001 (0.002)	Loss 2.8011 (2.7361)	Prec@1 32.812 (34.675)	Prec@5 60.938 (65.069)
Epoch: [29][7230/14090]	Time 0.730 (0.751)	Data 0.001 (0.002)	Loss 2.4655 (2.7360)	Prec@1 38.281 (34.674)	Prec@5 69.531 (65.072)
Epoch: [29][7240/14090]	Time 0.734 (0.751)	Data 0.001 (0.002)	Loss 3.0116 (2.7360)	Prec@1 34.375 (34.674)	Prec@5 58.594 (65.071)
Epoch: [29][7250/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 3.0280 (2.7361)	Prec@1 28.125 (34.671)	Prec@5 64.062 (65.068)
Epoch: [29][7260/14090]	Time 0.728 (0.751)	Data 0.001 (0.002)	Loss 3.0219 (2.7362)	Prec@1 28.906 (34.670)	Prec@5 56.250 (65.067)
Epoch: [29][7270/14090]	Time 0.781 (0.751)	Data 0.001 (0.002)	Loss 2.6081 (2.7362)	Prec@1 38.281 (34.670)	Prec@5 70.312 (65.067)
Epoch: [29][7280/14090]	Time 0.740 (0.751)	Data 0.002 (0.002)	Loss 2.8649 (2.7362)	Prec@1 35.156 (34.669)	Prec@5 62.500 (65.064)
Epoch: [29][7290/14090]	Time 0.752 (0.751)	Data 0.001 (0.002)	Loss 2.6629 (2.7361)	Prec@1 39.844 (34.672)	Prec@5 65.625 (65.066)
Epoch: [29][7300/14090]	Time 0.750 (0.751)	Data 0.001 (0.002)	Loss 2.8579 (2.7362)	Prec@1 30.469 (34.673)	Prec@5 60.938 (65.063)
Epoch: [29][7310/14090]	Time 0.733 (0.751)	Data 0.001 (0.002)	Loss 2.5828 (2.7362)	Prec@1 35.938 (34.673)	Prec@5 68.750 (65.061)
Epoch: [29][7320/14090]	Time 0.730 (0.751)	Data 0.001 (0.002)	Loss 2.6629 (2.7361)	Prec@1 35.938 (34.672)	Prec@5 67.969 (65.064)
Epoch: [29][7330/14090]	Time 0.762 (0.751)	Data 0.001 (0.002)	Loss 2.6270 (2.7360)	Prec@1 36.719 (34.674)	Prec@5 72.656 (65.069)
Epoch: [29][7340/14090]	Time 0.753 (0.751)	Data 0.001 (0.002)	Loss 2.6727 (2.7359)	Prec@1 30.469 (34.677)	Prec@5 70.312 (65.072)
Epoch: [29][7350/14090]	Time 0.727 (0.751)	Data 0.002 (0.002)	Loss 3.0458 (2.7360)	Prec@1 28.906 (34.677)	Prec@5 60.156 (65.070)
Epoch: [29][7360/14090]	Time 0.762 (0.751)	Data 0.001 (0.002)	Loss 2.5625 (2.7360)	Prec@1 39.062 (34.676)	Prec@5 71.094 (65.070)
Epoch: [29][7370/14090]	Time 0.722 (0.751)	Data 0.001 (0.002)	Loss 2.6392 (2.7359)	Prec@1 28.906 (34.674)	Prec@5 67.969 (65.072)
Epoch: [29][7380/14090]	Time 0.740 (0.751)	Data 0.001 (0.002)	Loss 2.6465 (2.7359)	Prec@1 39.062 (34.676)	Prec@5 65.625 (65.071)
Epoch: [29][7390/14090]	Time 0.750 (0.751)	Data 0.001 (0.002)	Loss 2.6742 (2.7359)	Prec@1 32.812 (34.675)	Prec@5 66.406 (65.069)
Epoch: [29][7400/14090]	Time 0.746 (0.751)	Data 0.001 (0.002)	Loss 3.0484 (2.7359)	Prec@1 26.562 (34.674)	Prec@5 54.688 (65.069)
Epoch: [29][7410/14090]	Time 0.774 (0.751)	Data 0.001 (0.002)	Loss 2.6696 (2.7359)	Prec@1 35.156 (34.676)	Prec@5 67.188 (65.070)
Epoch: [29][7420/14090]	Time 0.771 (0.751)	Data 0.002 (0.002)	Loss 3.0647 (2.7359)	Prec@1 31.250 (34.674)	Prec@5 58.594 (65.072)
Epoch: [29][7430/14090]	Time 0.751 (0.751)	Data 0.001 (0.002)	Loss 2.9967 (2.7359)	Prec@1 26.562 (34.675)	Prec@5 59.375 (65.071)
Epoch: [29][7440/14090]	Time 0.749 (0.751)	Data 0.002 (0.002)	Loss 3.1086 (2.7361)	Prec@1 28.906 (34.673)	Prec@5 56.250 (65.066)
Epoch: [29][7450/14090]	Time 0.769 (0.751)	Data 0.001 (0.002)	Loss 3.0598 (2.7364)	Prec@1 30.469 (34.668)	Prec@5 57.812 (65.059)
Epoch: [29][7460/14090]	Time 0.751 (0.751)	Data 0.001 (0.002)	Loss 2.6144 (2.7365)	Prec@1 39.062 (34.668)	Prec@5 63.281 (65.059)
Epoch: [29][7470/14090]	Time 0.776 (0.751)	Data 0.001 (0.002)	Loss 2.8431 (2.7363)	Prec@1 35.938 (34.670)	Prec@5 65.625 (65.063)
Epoch: [29][7480/14090]	Time 0.776 (0.751)	Data 0.001 (0.002)	Loss 2.6252 (2.7362)	Prec@1 36.719 (34.673)	Prec@5 66.406 (65.066)
Epoch: [29][7490/14090]	Time 0.765 (0.751)	Data 0.002 (0.002)	Loss 2.7373 (2.7363)	Prec@1 37.500 (34.674)	Prec@5 68.750 (65.065)
Epoch: [29][7500/14090]	Time 0.746 (0.751)	Data 0.001 (0.002)	Loss 2.8882 (2.7364)	Prec@1 32.812 (34.673)	Prec@5 62.500 (65.064)
Epoch: [29][7510/14090]	Time 0.729 (0.750)	Data 0.001 (0.002)	Loss 2.7568 (2.7365)	Prec@1 35.938 (34.674)	Prec@5 60.938 (65.061)
Epoch: [29][7520/14090]	Time 0.763 (0.751)	Data 0.001 (0.002)	Loss 2.8722 (2.7364)	Prec@1 32.812 (34.673)	Prec@5 62.500 (65.062)
Epoch: [29][7530/14090]	Time 0.744 (0.750)	Data 0.001 (0.002)	Loss 2.6338 (2.7364)	Prec@1 40.625 (34.674)	Prec@5 67.969 (65.064)
Epoch: [29][7540/14090]	Time 0.733 (0.750)	Data 0.001 (0.002)	Loss 2.8781 (2.7363)	Prec@1 31.250 (34.677)	Prec@5 62.500 (65.066)
Epoch: [29][7550/14090]	Time 0.798 (0.751)	Data 0.001 (0.002)	Loss 2.5855 (2.7362)	Prec@1 38.281 (34.678)	Prec@5 67.969 (65.067)
Epoch: [29][7560/14090]	Time 0.741 (0.750)	Data 0.002 (0.002)	Loss 2.7455 (2.7362)	Prec@1 28.906 (34.678)	Prec@5 65.625 (65.066)
Epoch: [29][7570/14090]	Time 0.772 (0.750)	Data 0.001 (0.002)	Loss 2.5714 (2.7362)	Prec@1 34.375 (34.676)	Prec@5 64.844 (65.066)
Epoch: [29][7580/14090]	Time 0.741 (0.750)	Data 0.001 (0.002)	Loss 2.7941 (2.7362)	Prec@1 34.375 (34.674)	Prec@5 67.969 (65.067)
Epoch: [29][7590/14090]	Time 0.767 (0.750)	Data 0.001 (0.002)	Loss 2.8041 (2.7362)	Prec@1 35.938 (34.675)	Prec@5 64.844 (65.067)
Epoch: [29][7600/14090]	Time 0.717 (0.750)	Data 0.002 (0.002)	Loss 2.7286 (2.7362)	Prec@1 37.500 (34.675)	Prec@5 63.281 (65.066)
Epoch: [29][7610/14090]	Time 0.791 (0.750)	Data 0.001 (0.002)	Loss 2.7872 (2.7362)	Prec@1 31.250 (34.675)	Prec@5 65.625 (65.068)
Epoch: [29][7620/14090]	Time 0.731 (0.750)	Data 0.001 (0.002)	Loss 2.6382 (2.7360)	Prec@1 34.375 (34.677)	Prec@5 64.062 (65.069)
Epoch: [29][7630/14090]	Time 0.727 (0.750)	Data 0.002 (0.002)	Loss 2.8018 (2.7360)	Prec@1 37.500 (34.678)	Prec@5 66.406 (65.070)
Epoch: [29][7640/14090]	Time 0.744 (0.750)	Data 0.001 (0.002)	Loss 2.6917 (2.7360)	Prec@1 41.406 (34.680)	Prec@5 67.188 (65.070)
Epoch: [29][7650/14090]	Time 0.748 (0.750)	Data 0.001 (0.002)	Loss 2.5957 (2.7360)	Prec@1 39.062 (34.680)	Prec@5 71.094 (65.070)
Epoch: [29][7660/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 3.0157 (2.7361)	Prec@1 30.469 (34.678)	Prec@5 60.156 (65.068)
Epoch: [29][7670/14090]	Time 0.739 (0.750)	Data 0.001 (0.002)	Loss 2.7926 (2.7361)	Prec@1 32.031 (34.679)	Prec@5 64.062 (65.069)
Epoch: [29][7680/14090]	Time 0.779 (0.750)	Data 0.001 (0.002)	Loss 2.7903 (2.7360)	Prec@1 35.938 (34.679)	Prec@5 60.938 (65.070)
Epoch: [29][7690/14090]	Time 0.738 (0.750)	Data 0.001 (0.002)	Loss 2.7693 (2.7360)	Prec@1 32.812 (34.677)	Prec@5 64.062 (65.071)
Epoch: [29][7700/14090]	Time 0.729 (0.750)	Data 0.002 (0.002)	Loss 2.4987 (2.7360)	Prec@1 37.500 (34.679)	Prec@5 72.656 (65.072)
Epoch: [29][7710/14090]	Time 0.755 (0.750)	Data 0.001 (0.002)	Loss 2.8216 (2.7360)	Prec@1 32.031 (34.678)	Prec@5 66.406 (65.070)
Epoch: [29][7720/14090]	Time 0.742 (0.750)	Data 0.001 (0.002)	Loss 3.0042 (2.7360)	Prec@1 35.156 (34.682)	Prec@5 58.594 (65.070)
Epoch: [29][7730/14090]	Time 0.753 (0.750)	Data 0.001 (0.002)	Loss 2.4305 (2.7359)	Prec@1 36.719 (34.684)	Prec@5 71.094 (65.070)
Epoch: [29][7740/14090]	Time 0.746 (0.750)	Data 0.001 (0.002)	Loss 2.8127 (2.7359)	Prec@1 34.375 (34.684)	Prec@5 67.188 (65.073)
Epoch: [29][7750/14090]	Time 0.748 (0.750)	Data 0.001 (0.002)	Loss 2.6374 (2.7358)	Prec@1 40.625 (34.683)	Prec@5 66.406 (65.074)
Epoch: [29][7760/14090]	Time 0.738 (0.750)	Data 0.001 (0.002)	Loss 2.7644 (2.7360)	Prec@1 35.156 (34.682)	Prec@5 61.719 (65.072)
Epoch: [29][7770/14090]	Time 0.751 (0.750)	Data 0.002 (0.002)	Loss 2.7843 (2.7359)	Prec@1 32.031 (34.681)	Prec@5 64.844 (65.073)
Epoch: [29][7780/14090]	Time 0.743 (0.750)	Data 0.001 (0.002)	Loss 2.6867 (2.7360)	Prec@1 37.500 (34.680)	Prec@5 63.281 (65.072)
Epoch: [29][7790/14090]	Time 0.737 (0.750)	Data 0.001 (0.002)	Loss 2.6649 (2.7361)	Prec@1 39.062 (34.678)	Prec@5 67.969 (65.072)
Epoch: [29][7800/14090]	Time 0.765 (0.750)	Data 0.001 (0.002)	Loss 2.9416 (2.7362)	Prec@1 29.688 (34.676)	Prec@5 61.719 (65.069)
Epoch: [29][7810/14090]	Time 0.783 (0.750)	Data 0.001 (0.002)	Loss 2.8357 (2.7362)	Prec@1 36.719 (34.677)	Prec@5 65.625 (65.068)
Epoch: [29][7820/14090]	Time 0.743 (0.750)	Data 0.001 (0.002)	Loss 2.7412 (2.7361)	Prec@1 31.250 (34.678)	Prec@5 62.500 (65.070)
Epoch: [29][7830/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 2.7427 (2.7361)	Prec@1 32.812 (34.677)	Prec@5 65.625 (65.071)
Epoch: [29][7840/14090]	Time 0.751 (0.750)	Data 0.001 (0.002)	Loss 2.6499 (2.7360)	Prec@1 42.188 (34.680)	Prec@5 65.625 (65.073)
Epoch: [29][7850/14090]	Time 0.740 (0.750)	Data 0.001 (0.002)	Loss 2.6864 (2.7359)	Prec@1 35.156 (34.679)	Prec@5 64.062 (65.072)
Epoch: [29][7860/14090]	Time 0.721 (0.750)	Data 0.001 (0.002)	Loss 2.5994 (2.7359)	Prec@1 39.844 (34.682)	Prec@5 67.188 (65.073)
Epoch: [29][7870/14090]	Time 0.735 (0.750)	Data 0.001 (0.002)	Loss 2.8231 (2.7358)	Prec@1 35.156 (34.684)	Prec@5 64.062 (65.073)
Epoch: [29][7880/14090]	Time 0.776 (0.750)	Data 0.001 (0.002)	Loss 2.4880 (2.7357)	Prec@1 42.188 (34.685)	Prec@5 67.969 (65.075)
Epoch: [29][7890/14090]	Time 0.744 (0.750)	Data 0.002 (0.002)	Loss 2.7033 (2.7358)	Prec@1 34.375 (34.684)	Prec@5 67.188 (65.074)
Epoch: [29][7900/14090]	Time 0.737 (0.750)	Data 0.001 (0.002)	Loss 2.6838 (2.7359)	Prec@1 35.156 (34.681)	Prec@5 70.312 (65.072)
Epoch: [29][7910/14090]	Time 0.764 (0.750)	Data 0.001 (0.002)	Loss 2.7527 (2.7359)	Prec@1 35.938 (34.680)	Prec@5 64.062 (65.070)
Epoch: [29][7920/14090]	Time 0.792 (0.750)	Data 0.001 (0.002)	Loss 2.8456 (2.7359)	Prec@1 35.938 (34.683)	Prec@5 59.375 (65.070)
Epoch: [29][7930/14090]	Time 0.758 (0.750)	Data 0.001 (0.002)	Loss 2.8158 (2.7360)	Prec@1 30.469 (34.682)	Prec@5 62.500 (65.069)
Epoch: [29][7940/14090]	Time 0.728 (0.750)	Data 0.001 (0.002)	Loss 2.7946 (2.7359)	Prec@1 32.812 (34.682)	Prec@5 62.500 (65.069)
Epoch: [29][7950/14090]	Time 0.769 (0.750)	Data 0.001 (0.002)	Loss 2.5851 (2.7360)	Prec@1 42.188 (34.685)	Prec@5 71.875 (65.068)
Epoch: [29][7960/14090]	Time 0.754 (0.750)	Data 0.001 (0.002)	Loss 2.5084 (2.7359)	Prec@1 36.719 (34.686)	Prec@5 65.625 (65.069)
Epoch: [29][7970/14090]	Time 0.782 (0.750)	Data 0.001 (0.002)	Loss 2.5747 (2.7359)	Prec@1 42.188 (34.687)	Prec@5 64.844 (65.069)
Epoch: [29][7980/14090]	Time 0.748 (0.750)	Data 0.001 (0.002)	Loss 2.8603 (2.7359)	Prec@1 32.031 (34.688)	Prec@5 63.281 (65.069)
Epoch: [29][7990/14090]	Time 0.755 (0.750)	Data 0.001 (0.002)	Loss 2.8347 (2.7360)	Prec@1 32.031 (34.685)	Prec@5 61.719 (65.065)
Epoch: [29][8000/14090]	Time 0.741 (0.750)	Data 0.001 (0.002)	Loss 2.5960 (2.7359)	Prec@1 36.719 (34.686)	Prec@5 68.750 (65.067)
Epoch: [29][8010/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 2.8716 (2.7360)	Prec@1 31.250 (34.686)	Prec@5 60.938 (65.067)
Epoch: [29][8020/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 3.0044 (2.7361)	Prec@1 32.031 (34.685)	Prec@5 60.156 (65.064)
Epoch: [29][8030/14090]	Time 0.755 (0.750)	Data 0.001 (0.002)	Loss 2.9062 (2.7361)	Prec@1 32.031 (34.683)	Prec@5 65.625 (65.066)
Epoch: [29][8040/14090]	Time 0.754 (0.750)	Data 0.001 (0.002)	Loss 2.7131 (2.7362)	Prec@1 35.938 (34.682)	Prec@5 69.531 (65.063)
Epoch: [29][8050/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 3.0951 (2.7363)	Prec@1 28.125 (34.680)	Prec@5 57.812 (65.060)
Epoch: [29][8060/14090]	Time 0.746 (0.750)	Data 0.001 (0.002)	Loss 2.7149 (2.7363)	Prec@1 36.719 (34.679)	Prec@5 64.062 (65.060)
Epoch: [29][8070/14090]	Time 0.760 (0.750)	Data 0.001 (0.002)	Loss 2.6320 (2.7363)	Prec@1 38.281 (34.679)	Prec@5 64.844 (65.062)
Epoch: [29][8080/14090]	Time 0.726 (0.750)	Data 0.001 (0.002)	Loss 2.6425 (2.7363)	Prec@1 38.281 (34.678)	Prec@5 61.719 (65.061)
Epoch: [29][8090/14090]	Time 0.773 (0.750)	Data 0.001 (0.002)	Loss 3.0315 (2.7364)	Prec@1 28.906 (34.679)	Prec@5 62.500 (65.060)
Epoch: [29][8100/14090]	Time 0.741 (0.750)	Data 0.001 (0.002)	Loss 2.6836 (2.7364)	Prec@1 37.500 (34.679)	Prec@5 68.750 (65.060)
Epoch: [29][8110/14090]	Time 0.739 (0.750)	Data 0.001 (0.002)	Loss 2.6059 (2.7363)	Prec@1 35.938 (34.678)	Prec@5 64.062 (65.060)
Epoch: [29][8120/14090]	Time 0.748 (0.750)	Data 0.001 (0.002)	Loss 2.6046 (2.7363)	Prec@1 34.375 (34.679)	Prec@5 71.094 (65.062)
Epoch: [29][8130/14090]	Time 0.781 (0.750)	Data 0.001 (0.002)	Loss 2.6009 (2.7363)	Prec@1 37.500 (34.679)	Prec@5 71.875 (65.063)
Epoch: [29][8140/14090]	Time 0.827 (0.750)	Data 0.002 (0.002)	Loss 2.6535 (2.7363)	Prec@1 35.938 (34.679)	Prec@5 64.844 (65.061)
Epoch: [29][8150/14090]	Time 0.761 (0.750)	Data 0.001 (0.002)	Loss 2.7207 (2.7364)	Prec@1 35.156 (34.679)	Prec@5 65.625 (65.061)
Epoch: [29][8160/14090]	Time 0.757 (0.750)	Data 0.001 (0.002)	Loss 2.7592 (2.7365)	Prec@1 28.125 (34.677)	Prec@5 64.062 (65.058)
Epoch: [29][8170/14090]	Time 0.748 (0.750)	Data 0.001 (0.002)	Loss 2.9126 (2.7364)	Prec@1 28.906 (34.679)	Prec@5 60.938 (65.061)
Epoch: [29][8180/14090]	Time 0.734 (0.750)	Data 0.001 (0.002)	Loss 2.6266 (2.7364)	Prec@1 36.719 (34.680)	Prec@5 65.625 (65.060)
Epoch: [29][8190/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 2.4795 (2.7364)	Prec@1 39.844 (34.680)	Prec@5 71.094 (65.061)
Epoch: [29][8200/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 2.7593 (2.7364)	Prec@1 33.594 (34.683)	Prec@5 62.500 (65.061)
Epoch: [29][8210/14090]	Time 0.753 (0.750)	Data 0.001 (0.002)	Loss 2.7324 (2.7365)	Prec@1 37.500 (34.683)	Prec@5 64.062 (65.059)
Epoch: [29][8220/14090]	Time 0.767 (0.750)	Data 0.001 (0.002)	Loss 2.6368 (2.7364)	Prec@1 35.938 (34.684)	Prec@5 67.188 (65.059)
Epoch: [29][8230/14090]	Time 0.753 (0.750)	Data 0.001 (0.002)	Loss 2.6800 (2.7363)	Prec@1 34.375 (34.686)	Prec@5 64.844 (65.060)
Epoch: [29][8240/14090]	Time 0.768 (0.750)	Data 0.001 (0.002)	Loss 2.9325 (2.7363)	Prec@1 26.562 (34.687)	Prec@5 63.281 (65.060)
Epoch: [29][8250/14090]	Time 0.743 (0.750)	Data 0.001 (0.002)	Loss 2.7858 (2.7364)	Prec@1 31.250 (34.686)	Prec@5 64.844 (65.057)
Epoch: [29][8260/14090]	Time 0.725 (0.750)	Data 0.001 (0.002)	Loss 2.6398 (2.7364)	Prec@1 34.375 (34.685)	Prec@5 70.312 (65.057)
Epoch: [29][8270/14090]	Time 0.743 (0.750)	Data 0.001 (0.002)	Loss 2.5411 (2.7362)	Prec@1 35.938 (34.686)	Prec@5 71.094 (65.061)
Epoch: [29][8280/14090]	Time 0.748 (0.750)	Data 0.001 (0.002)	Loss 2.8864 (2.7363)	Prec@1 33.594 (34.681)	Prec@5 65.625 (65.060)
Epoch: [29][8290/14090]	Time 0.737 (0.750)	Data 0.001 (0.002)	Loss 2.7281 (2.7364)	Prec@1 35.156 (34.681)	Prec@5 64.844 (65.059)
Epoch: [29][8300/14090]	Time 0.755 (0.750)	Data 0.001 (0.002)	Loss 2.7979 (2.7364)	Prec@1 28.906 (34.680)	Prec@5 62.500 (65.060)
Epoch: [29][8310/14090]	Time 0.778 (0.750)	Data 0.001 (0.002)	Loss 2.9608 (2.7364)	Prec@1 33.594 (34.678)	Prec@5 56.250 (65.058)
Epoch: [29][8320/14090]	Time 0.725 (0.750)	Data 0.001 (0.002)	Loss 2.9660 (2.7364)	Prec@1 27.344 (34.678)	Prec@5 61.719 (65.057)
Epoch: [29][8330/14090]	Time 0.779 (0.750)	Data 0.001 (0.002)	Loss 2.7843 (2.7365)	Prec@1 28.906 (34.676)	Prec@5 65.625 (65.058)
Epoch: [29][8340/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 2.6748 (2.7364)	Prec@1 39.844 (34.678)	Prec@5 71.875 (65.060)
Epoch: [29][8350/14090]	Time 0.730 (0.750)	Data 0.001 (0.002)	Loss 2.9606 (2.7364)	Prec@1 33.594 (34.678)	Prec@5 64.844 (65.059)
Epoch: [29][8360/14090]	Time 0.742 (0.750)	Data 0.001 (0.002)	Loss 2.7533 (2.7363)	Prec@1 33.594 (34.680)	Prec@5 64.062 (65.061)
Epoch: [29][8370/14090]	Time 0.783 (0.750)	Data 0.001 (0.002)	Loss 2.8119 (2.7363)	Prec@1 33.594 (34.679)	Prec@5 63.281 (65.061)
Epoch: [29][8380/14090]	Time 0.736 (0.750)	Data 0.001 (0.002)	Loss 2.5207 (2.7362)	Prec@1 35.156 (34.680)	Prec@5 67.969 (65.061)
Epoch: [29][8390/14090]	Time 0.738 (0.750)	Data 0.001 (0.002)	Loss 2.6738 (2.7363)	Prec@1 37.500 (34.678)	Prec@5 67.969 (65.061)
Epoch: [29][8400/14090]	Time 0.725 (0.750)	Data 0.001 (0.002)	Loss 2.4791 (2.7362)	Prec@1 39.844 (34.680)	Prec@5 69.531 (65.061)
Epoch: [29][8410/14090]	Time 0.747 (0.750)	Data 0.001 (0.002)	Loss 2.9418 (2.7363)	Prec@1 31.250 (34.679)	Prec@5 61.719 (65.060)
Epoch: [29][8420/14090]	Time 0.740 (0.750)	Data 0.001 (0.002)	Loss 2.7418 (2.7364)	Prec@1 39.062 (34.677)	Prec@5 67.969 (65.058)
Epoch: [29][8430/14090]	Time 0.722 (0.750)	Data 0.001 (0.002)	Loss 2.9676 (2.7364)	Prec@1 26.562 (34.675)	Prec@5 63.281 (65.056)
Epoch: [29][8440/14090]	Time 0.754 (0.750)	Data 0.002 (0.002)	Loss 2.8821 (2.7364)	Prec@1 30.469 (34.675)	Prec@5 64.062 (65.057)
Epoch: [29][8450/14090]	Time 0.764 (0.750)	Data 0.001 (0.002)	Loss 2.5561 (2.7363)	Prec@1 38.281 (34.677)	Prec@5 66.406 (65.058)
Epoch: [29][8460/14090]	Time 0.742 (0.751)	Data 0.001 (0.002)	Loss 2.9354 (2.7364)	Prec@1 33.594 (34.677)	Prec@5 58.594 (65.059)
Epoch: [29][8470/14090]	Time 0.727 (0.751)	Data 0.001 (0.002)	Loss 2.7789 (2.7364)	Prec@1 37.500 (34.678)	Prec@5 66.406 (65.057)
Epoch: [29][8480/14090]	Time 0.737 (0.751)	Data 0.001 (0.002)	Loss 2.8378 (2.7364)	Prec@1 34.375 (34.677)	Prec@5 64.844 (65.056)
Epoch: [29][8490/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 2.5825 (2.7363)	Prec@1 42.188 (34.679)	Prec@5 64.844 (65.058)
Epoch: [29][8500/14090]	Time 0.754 (0.750)	Data 0.001 (0.002)	Loss 2.5493 (2.7363)	Prec@1 39.062 (34.679)	Prec@5 63.281 (65.060)
Epoch: [29][8510/14090]	Time 0.751 (0.751)	Data 0.001 (0.002)	Loss 2.7722 (2.7363)	Prec@1 35.938 (34.681)	Prec@5 67.188 (65.060)
Epoch: [29][8520/14090]	Time 0.730 (0.750)	Data 0.001 (0.002)	Loss 2.5703 (2.7363)	Prec@1 39.844 (34.682)	Prec@5 68.750 (65.059)
Epoch: [29][8530/14090]	Time 0.811 (0.750)	Data 0.001 (0.002)	Loss 2.6631 (2.7362)	Prec@1 39.844 (34.683)	Prec@5 64.844 (65.059)
Epoch: [29][8540/14090]	Time 0.777 (0.751)	Data 0.001 (0.002)	Loss 2.8895 (2.7362)	Prec@1 29.688 (34.684)	Prec@5 59.375 (65.060)
Epoch: [29][8550/14090]	Time 0.726 (0.750)	Data 0.001 (0.002)	Loss 2.6789 (2.7362)	Prec@1 33.594 (34.681)	Prec@5 71.875 (65.060)
Epoch: [29][8560/14090]	Time 0.730 (0.750)	Data 0.001 (0.002)	Loss 2.8506 (2.7362)	Prec@1 32.031 (34.682)	Prec@5 67.188 (65.061)
Epoch: [29][8570/14090]	Time 0.771 (0.750)	Data 0.001 (0.002)	Loss 2.3775 (2.7363)	Prec@1 42.969 (34.682)	Prec@5 73.438 (65.059)
Epoch: [29][8580/14090]	Time 0.759 (0.750)	Data 0.001 (0.002)	Loss 2.9757 (2.7364)	Prec@1 27.344 (34.680)	Prec@5 58.594 (65.059)
Epoch: [29][8590/14090]	Time 0.732 (0.750)	Data 0.001 (0.002)	Loss 3.2173 (2.7365)	Prec@1 27.344 (34.679)	Prec@5 53.125 (65.057)
Epoch: [29][8600/14090]	Time 0.762 (0.750)	Data 0.001 (0.002)	Loss 2.5578 (2.7364)	Prec@1 32.812 (34.682)	Prec@5 64.844 (65.059)
Epoch: [29][8610/14090]	Time 0.774 (0.750)	Data 0.001 (0.002)	Loss 2.8888 (2.7364)	Prec@1 32.812 (34.681)	Prec@5 63.281 (65.060)
Epoch: [29][8620/14090]	Time 0.753 (0.750)	Data 0.001 (0.002)	Loss 2.9517 (2.7364)	Prec@1 32.812 (34.681)	Prec@5 57.031 (65.059)
Epoch: [29][8630/14090]	Time 0.760 (0.750)	Data 0.001 (0.002)	Loss 2.4547 (2.7365)	Prec@1 34.375 (34.678)	Prec@5 70.312 (65.058)
Epoch: [29][8640/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 2.7488 (2.7365)	Prec@1 32.031 (34.678)	Prec@5 66.406 (65.057)
Epoch: [29][8650/14090]	Time 0.758 (0.750)	Data 0.001 (0.002)	Loss 2.5650 (2.7366)	Prec@1 39.062 (34.678)	Prec@5 63.281 (65.055)
Epoch: [29][8660/14090]	Time 0.743 (0.750)	Data 0.001 (0.002)	Loss 2.5314 (2.7365)	Prec@1 42.188 (34.681)	Prec@5 67.188 (65.056)
Epoch: [29][8670/14090]	Time 0.780 (0.750)	Data 0.001 (0.002)	Loss 2.8803 (2.7366)	Prec@1 34.375 (34.682)	Prec@5 55.469 (65.055)
Epoch: [29][8680/14090]	Time 0.752 (0.751)	Data 0.001 (0.002)	Loss 2.7463 (2.7365)	Prec@1 35.156 (34.682)	Prec@5 64.062 (65.055)
Epoch: [29][8690/14090]	Time 0.750 (0.751)	Data 0.003 (0.002)	Loss 2.6440 (2.7366)	Prec@1 35.156 (34.683)	Prec@5 64.844 (65.053)
Epoch: [29][8700/14090]	Time 0.756 (0.751)	Data 0.001 (0.002)	Loss 2.7170 (2.7365)	Prec@1 34.375 (34.682)	Prec@5 69.531 (65.055)
Epoch: [29][8710/14090]	Time 0.732 (0.751)	Data 0.003 (0.002)	Loss 2.7996 (2.7365)	Prec@1 30.469 (34.683)	Prec@5 62.500 (65.055)
Epoch: [29][8720/14090]	Time 0.732 (0.751)	Data 0.001 (0.002)	Loss 2.6187 (2.7365)	Prec@1 38.281 (34.684)	Prec@5 66.406 (65.057)
Epoch: [29][8730/14090]	Time 0.748 (0.751)	Data 0.001 (0.002)	Loss 2.8356 (2.7365)	Prec@1 34.375 (34.682)	Prec@5 64.062 (65.056)
Epoch: [29][8740/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 3.1315 (2.7365)	Prec@1 25.781 (34.684)	Prec@5 56.250 (65.057)
Epoch: [29][8750/14090]	Time 0.758 (0.751)	Data 0.001 (0.002)	Loss 2.5754 (2.7365)	Prec@1 42.188 (34.685)	Prec@5 69.531 (65.060)
Epoch: [29][8760/14090]	Time 0.769 (0.751)	Data 0.001 (0.002)	Loss 2.3886 (2.7365)	Prec@1 42.969 (34.682)	Prec@5 70.312 (65.060)
Epoch: [29][8770/14090]	Time 0.784 (0.751)	Data 0.001 (0.002)	Loss 2.7152 (2.7365)	Prec@1 35.156 (34.684)	Prec@5 68.750 (65.061)
Epoch: [29][8780/14090]	Time 0.741 (0.751)	Data 0.001 (0.002)	Loss 2.7464 (2.7364)	Prec@1 31.250 (34.684)	Prec@5 63.281 (65.062)
Epoch: [29][8790/14090]	Time 0.718 (0.751)	Data 0.001 (0.002)	Loss 2.6940 (2.7364)	Prec@1 34.375 (34.684)	Prec@5 64.844 (65.063)
Epoch: [29][8800/14090]	Time 0.729 (0.751)	Data 0.001 (0.002)	Loss 2.5742 (2.7364)	Prec@1 38.281 (34.684)	Prec@5 66.406 (65.063)
Epoch: [29][8810/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 2.7872 (2.7365)	Prec@1 32.812 (34.682)	Prec@5 61.719 (65.061)
Epoch: [29][8820/14090]	Time 0.792 (0.751)	Data 0.001 (0.002)	Loss 2.6491 (2.7365)	Prec@1 36.719 (34.683)	Prec@5 62.500 (65.062)
Epoch: [29][8830/14090]	Time 0.753 (0.751)	Data 0.001 (0.002)	Loss 2.7508 (2.7366)	Prec@1 34.375 (34.680)	Prec@5 67.188 (65.061)
Epoch: [29][8840/14090]	Time 0.756 (0.751)	Data 0.001 (0.002)	Loss 2.5106 (2.7365)	Prec@1 41.406 (34.684)	Prec@5 69.531 (65.063)
Epoch: [29][8850/14090]	Time 0.736 (0.751)	Data 0.001 (0.002)	Loss 2.7110 (2.7365)	Prec@1 37.500 (34.683)	Prec@5 68.750 (65.062)
Epoch: [29][8860/14090]	Time 0.731 (0.751)	Data 0.001 (0.002)	Loss 2.7374 (2.7365)	Prec@1 39.844 (34.684)	Prec@5 62.500 (65.061)
Epoch: [29][8870/14090]	Time 0.763 (0.751)	Data 0.001 (0.002)	Loss 2.4000 (2.7364)	Prec@1 40.625 (34.685)	Prec@5 72.656 (65.063)
Epoch: [29][8880/14090]	Time 0.745 (0.751)	Data 0.001 (0.002)	Loss 2.9357 (2.7364)	Prec@1 32.031 (34.685)	Prec@5 65.625 (65.065)
Epoch: [29][8890/14090]	Time 0.751 (0.751)	Data 0.001 (0.002)	Loss 2.5390 (2.7365)	Prec@1 44.531 (34.682)	Prec@5 71.094 (65.062)
Epoch: [29][8900/14090]	Time 0.769 (0.751)	Data 0.001 (0.002)	Loss 2.6378 (2.7365)	Prec@1 35.938 (34.681)	Prec@5 66.406 (65.062)
Epoch: [29][8910/14090]	Time 0.728 (0.751)	Data 0.001 (0.002)	Loss 2.8026 (2.7365)	Prec@1 34.375 (34.681)	Prec@5 67.188 (65.061)
Epoch: [29][8920/14090]	Time 0.785 (0.751)	Data 0.001 (0.002)	Loss 2.6367 (2.7366)	Prec@1 37.500 (34.682)	Prec@5 66.406 (65.060)
Epoch: [29][8930/14090]	Time 0.724 (0.751)	Data 0.002 (0.002)	Loss 2.5837 (2.7364)	Prec@1 35.938 (34.685)	Prec@5 63.281 (65.062)
Epoch: [29][8940/14090]	Time 0.725 (0.751)	Data 0.001 (0.002)	Loss 3.1195 (2.7365)	Prec@1 25.781 (34.683)	Prec@5 57.812 (65.061)
Epoch: [29][8950/14090]	Time 0.753 (0.751)	Data 0.001 (0.002)	Loss 2.6572 (2.7365)	Prec@1 31.250 (34.681)	Prec@5 66.406 (65.062)
Epoch: [29][8960/14090]	Time 0.727 (0.751)	Data 0.001 (0.002)	Loss 2.9583 (2.7365)	Prec@1 35.156 (34.682)	Prec@5 67.188 (65.062)
Epoch: [29][8970/14090]	Time 0.746 (0.751)	Data 0.001 (0.002)	Loss 2.7617 (2.7366)	Prec@1 35.156 (34.681)	Prec@5 63.281 (65.060)
Epoch: [29][8980/14090]	Time 0.859 (0.751)	Data 0.001 (0.002)	Loss 2.8367 (2.7367)	Prec@1 32.031 (34.682)	Prec@5 66.406 (65.058)
Epoch: [29][8990/14090]	Time 0.724 (0.751)	Data 0.001 (0.002)	Loss 2.9096 (2.7368)	Prec@1 28.906 (34.679)	Prec@5 61.719 (65.056)
Epoch: [29][9000/14090]	Time 0.743 (0.751)	Data 0.001 (0.002)	Loss 2.7678 (2.7368)	Prec@1 30.469 (34.679)	Prec@5 65.625 (65.057)
Epoch: [29][9010/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 3.1592 (2.7369)	Prec@1 25.781 (34.679)	Prec@5 53.125 (65.054)
Epoch: [29][9020/14090]	Time 0.737 (0.751)	Data 0.001 (0.001)	Loss 2.6704 (2.7368)	Prec@1 35.938 (34.679)	Prec@5 67.969 (65.055)
Epoch: [29][9030/14090]	Time 0.728 (0.751)	Data 0.001 (0.001)	Loss 2.8581 (2.7369)	Prec@1 31.250 (34.678)	Prec@5 57.812 (65.052)
Epoch: [29][9040/14090]	Time 0.730 (0.751)	Data 0.001 (0.001)	Loss 2.7055 (2.7369)	Prec@1 32.031 (34.678)	Prec@5 64.062 (65.051)
Epoch: [29][9050/14090]	Time 0.777 (0.751)	Data 0.001 (0.001)	Loss 2.6959 (2.7369)	Prec@1 38.281 (34.677)	Prec@5 66.406 (65.050)
Epoch: [29][9060/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 2.7997 (2.7369)	Prec@1 35.156 (34.677)	Prec@5 65.625 (65.051)
Epoch: [29][9070/14090]	Time 0.730 (0.751)	Data 0.001 (0.001)	Loss 2.9065 (2.7369)	Prec@1 38.281 (34.677)	Prec@5 61.719 (65.051)
Epoch: [29][9080/14090]	Time 0.777 (0.751)	Data 0.001 (0.001)	Loss 2.5869 (2.7369)	Prec@1 32.812 (34.677)	Prec@5 69.531 (65.051)
Epoch: [29][9090/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 2.5365 (2.7369)	Prec@1 41.406 (34.674)	Prec@5 73.438 (65.049)
Epoch: [29][9100/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 2.9709 (2.7369)	Prec@1 27.344 (34.674)	Prec@5 62.500 (65.050)
Epoch: [29][9110/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 2.9936 (2.7370)	Prec@1 28.906 (34.671)	Prec@5 59.375 (65.048)
Epoch: [29][9120/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 2.7893 (2.7370)	Prec@1 34.375 (34.672)	Prec@5 62.500 (65.049)
Epoch: [29][9130/14090]	Time 0.770 (0.751)	Data 0.001 (0.001)	Loss 2.6078 (2.7369)	Prec@1 35.156 (34.674)	Prec@5 69.531 (65.050)
Epoch: [29][9140/14090]	Time 0.772 (0.751)	Data 0.001 (0.001)	Loss 2.8285 (2.7370)	Prec@1 33.594 (34.673)	Prec@5 62.500 (65.048)
Epoch: [29][9150/14090]	Time 0.725 (0.751)	Data 0.001 (0.001)	Loss 2.8649 (2.7371)	Prec@1 34.375 (34.674)	Prec@5 62.500 (65.048)
Epoch: [29][9160/14090]	Time 0.768 (0.751)	Data 0.001 (0.001)	Loss 2.6653 (2.7371)	Prec@1 32.031 (34.672)	Prec@5 67.969 (65.046)
Epoch: [29][9170/14090]	Time 0.770 (0.751)	Data 0.001 (0.001)	Loss 2.6939 (2.7372)	Prec@1 36.719 (34.671)	Prec@5 66.406 (65.044)
Epoch: [29][9180/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 2.8422 (2.7372)	Prec@1 33.594 (34.670)	Prec@5 60.938 (65.042)
Epoch: [29][9190/14090]	Time 0.780 (0.751)	Data 0.001 (0.001)	Loss 2.8580 (2.7373)	Prec@1 32.031 (34.667)	Prec@5 61.719 (65.039)
Epoch: [29][9200/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 2.4415 (2.7373)	Prec@1 31.250 (34.668)	Prec@5 71.094 (65.039)
Epoch: [29][9210/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 2.8618 (2.7372)	Prec@1 32.812 (34.667)	Prec@5 64.844 (65.038)
Epoch: [29][9220/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 2.7264 (2.7373)	Prec@1 39.062 (34.666)	Prec@5 71.094 (65.038)
Epoch: [29][9230/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 2.6502 (2.7373)	Prec@1 33.594 (34.665)	Prec@5 73.438 (65.037)
Epoch: [29][9240/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 2.5443 (2.7373)	Prec@1 39.844 (34.666)	Prec@5 70.312 (65.035)
Epoch: [29][9250/14090]	Time 0.757 (0.751)	Data 0.001 (0.001)	Loss 2.5614 (2.7374)	Prec@1 39.062 (34.664)	Prec@5 69.531 (65.034)
Epoch: [29][9260/14090]	Time 0.846 (0.751)	Data 0.001 (0.001)	Loss 2.5412 (2.7374)	Prec@1 43.750 (34.665)	Prec@5 67.188 (65.035)
Epoch: [29][9270/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 2.2684 (2.7373)	Prec@1 43.750 (34.665)	Prec@5 72.656 (65.036)
Epoch: [29][9280/14090]	Time 0.768 (0.751)	Data 0.001 (0.001)	Loss 2.6947 (2.7374)	Prec@1 33.594 (34.663)	Prec@5 65.625 (65.034)
Epoch: [29][9290/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 2.8731 (2.7375)	Prec@1 33.594 (34.660)	Prec@5 66.406 (65.033)
Epoch: [29][9300/14090]	Time 0.734 (0.751)	Data 0.001 (0.001)	Loss 2.7745 (2.7376)	Prec@1 32.031 (34.656)	Prec@5 63.281 (65.030)
Epoch: [29][9310/14090]	Time 0.740 (0.751)	Data 0.001 (0.001)	Loss 2.5735 (2.7376)	Prec@1 42.969 (34.655)	Prec@5 67.969 (65.031)
Epoch: [29][9320/14090]	Time 0.731 (0.751)	Data 0.001 (0.001)	Loss 2.8311 (2.7376)	Prec@1 32.812 (34.653)	Prec@5 66.406 (65.031)
Epoch: [29][9330/14090]	Time 0.761 (0.751)	Data 0.001 (0.001)	Loss 2.7398 (2.7377)	Prec@1 33.594 (34.653)	Prec@5 64.844 (65.030)
Epoch: [29][9340/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 2.7075 (2.7376)	Prec@1 32.031 (34.655)	Prec@5 65.625 (65.030)
Epoch: [29][9350/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 2.8881 (2.7377)	Prec@1 29.688 (34.655)	Prec@5 58.594 (65.029)
Epoch: [29][9360/14090]	Time 0.757 (0.751)	Data 0.001 (0.001)	Loss 2.5081 (2.7376)	Prec@1 39.844 (34.656)	Prec@5 66.406 (65.029)
Epoch: [29][9370/14090]	Time 0.724 (0.751)	Data 0.001 (0.001)	Loss 2.4672 (2.7375)	Prec@1 39.844 (34.657)	Prec@5 67.188 (65.031)
Epoch: [29][9380/14090]	Time 0.735 (0.751)	Data 0.002 (0.001)	Loss 2.9077 (2.7376)	Prec@1 36.719 (34.657)	Prec@5 56.250 (65.031)
Epoch: [29][9390/14090]	Time 0.763 (0.751)	Data 0.001 (0.001)	Loss 2.7207 (2.7375)	Prec@1 37.500 (34.657)	Prec@5 63.281 (65.031)
Epoch: [29][9400/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 2.7372 (2.7374)	Prec@1 39.062 (34.660)	Prec@5 66.406 (65.033)
Epoch: [29][9410/14090]	Time 0.757 (0.751)	Data 0.001 (0.001)	Loss 2.5236 (2.7373)	Prec@1 39.844 (34.661)	Prec@5 64.844 (65.036)
Epoch: [29][9420/14090]	Time 0.760 (0.751)	Data 0.001 (0.001)	Loss 2.8016 (2.7373)	Prec@1 35.156 (34.660)	Prec@5 64.844 (65.035)
Epoch: [29][9430/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 3.0834 (2.7374)	Prec@1 28.125 (34.660)	Prec@5 58.594 (65.034)
Epoch: [29][9440/14090]	Time 0.731 (0.751)	Data 0.001 (0.001)	Loss 2.8089 (2.7375)	Prec@1 31.250 (34.659)	Prec@5 63.281 (65.033)
Epoch: [29][9450/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 2.7588 (2.7374)	Prec@1 35.938 (34.659)	Prec@5 65.625 (65.034)
Epoch: [29][9460/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 2.5042 (2.7374)	Prec@1 32.812 (34.660)	Prec@5 65.625 (65.033)
Epoch: [29][9470/14090]	Time 0.743 (0.751)	Data 0.001 (0.001)	Loss 2.7069 (2.7374)	Prec@1 30.469 (34.658)	Prec@5 64.062 (65.034)
Epoch: [29][9480/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 2.6699 (2.7375)	Prec@1 40.625 (34.657)	Prec@5 61.719 (65.031)
Epoch: [29][9490/14090]	Time 0.764 (0.751)	Data 0.001 (0.001)	Loss 2.6341 (2.7374)	Prec@1 34.375 (34.657)	Prec@5 68.750 (65.033)
Epoch: [29][9500/14090]	Time 0.729 (0.751)	Data 0.001 (0.001)	Loss 2.6842 (2.7374)	Prec@1 34.375 (34.656)	Prec@5 63.281 (65.033)
Epoch: [29][9510/14090]	Time 0.730 (0.751)	Data 0.001 (0.001)	Loss 2.7974 (2.7374)	Prec@1 32.812 (34.657)	Prec@5 61.719 (65.035)
Epoch: [29][9520/14090]	Time 0.765 (0.751)	Data 0.001 (0.001)	Loss 2.9071 (2.7374)	Prec@1 32.031 (34.656)	Prec@5 57.812 (65.034)
Epoch: [29][9530/14090]	Time 0.760 (0.751)	Data 0.001 (0.001)	Loss 2.9654 (2.7374)	Prec@1 30.469 (34.655)	Prec@5 59.375 (65.032)
Epoch: [29][9540/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 2.9194 (2.7374)	Prec@1 32.812 (34.654)	Prec@5 58.594 (65.031)
Epoch: [29][9550/14090]	Time 0.766 (0.751)	Data 0.001 (0.001)	Loss 2.5580 (2.7373)	Prec@1 40.625 (34.657)	Prec@5 67.188 (65.034)
Epoch: [29][9560/14090]	Time 0.726 (0.751)	Data 0.002 (0.001)	Loss 2.7196 (2.7373)	Prec@1 35.938 (34.659)	Prec@5 60.938 (65.035)
Epoch: [29][9570/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 2.5925 (2.7373)	Prec@1 32.812 (34.659)	Prec@5 69.531 (65.036)
Epoch: [29][9580/14090]	Time 0.759 (0.751)	Data 0.001 (0.001)	Loss 2.7073 (2.7372)	Prec@1 35.156 (34.658)	Prec@5 65.625 (65.036)
Epoch: [29][9590/14090]	Time 0.729 (0.751)	Data 0.001 (0.001)	Loss 2.6575 (2.7372)	Prec@1 34.375 (34.659)	Prec@5 65.625 (65.037)
Epoch: [29][9600/14090]	Time 0.776 (0.751)	Data 0.001 (0.001)	Loss 2.6334 (2.7372)	Prec@1 37.500 (34.660)	Prec@5 64.844 (65.037)
Epoch: [29][9610/14090]	Time 0.743 (0.751)	Data 0.001 (0.001)	Loss 2.4072 (2.7371)	Prec@1 42.188 (34.661)	Prec@5 65.625 (65.039)
Epoch: [29][9620/14090]	Time 0.727 (0.751)	Data 0.001 (0.001)	Loss 2.5385 (2.7371)	Prec@1 35.156 (34.661)	Prec@5 70.312 (65.039)
Epoch: [29][9630/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 2.7447 (2.7372)	Prec@1 39.844 (34.661)	Prec@5 62.500 (65.039)
Epoch: [29][9640/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 2.7697 (2.7372)	Prec@1 35.156 (34.660)	Prec@5 63.281 (65.037)
Epoch: [29][9650/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 2.9045 (2.7373)	Prec@1 25.781 (34.658)	Prec@5 64.844 (65.036)
Epoch: [29][9660/14090]	Time 0.759 (0.751)	Data 0.001 (0.001)	Loss 2.9560 (2.7373)	Prec@1 32.031 (34.659)	Prec@5 63.281 (65.036)
Epoch: [29][9670/14090]	Time 0.726 (0.751)	Data 0.001 (0.001)	Loss 2.5094 (2.7374)	Prec@1 38.281 (34.658)	Prec@5 73.438 (65.034)
Epoch: [29][9680/14090]	Time 0.764 (0.751)	Data 0.001 (0.001)	Loss 2.7631 (2.7374)	Prec@1 36.719 (34.660)	Prec@5 63.281 (65.035)
Epoch: [29][9690/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 2.9361 (2.7373)	Prec@1 28.125 (34.659)	Prec@5 56.250 (65.035)
Epoch: [29][9700/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 2.6672 (2.7373)	Prec@1 37.500 (34.660)	Prec@5 61.719 (65.034)
Epoch: [29][9710/14090]	Time 0.730 (0.751)	Data 0.001 (0.001)	Loss 2.6899 (2.7373)	Prec@1 32.031 (34.660)	Prec@5 70.312 (65.035)
Epoch: [29][9720/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 2.7506 (2.7373)	Prec@1 34.375 (34.659)	Prec@5 67.969 (65.036)
Epoch: [29][9730/14090]	Time 0.737 (0.751)	Data 0.001 (0.001)	Loss 2.8141 (2.7373)	Prec@1 34.375 (34.660)	Prec@5 67.188 (65.036)
Epoch: [29][9740/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 3.1497 (2.7374)	Prec@1 28.125 (34.659)	Prec@5 57.812 (65.034)
Epoch: [29][9750/14090]	Time 0.725 (0.751)	Data 0.001 (0.001)	Loss 2.8229 (2.7374)	Prec@1 34.375 (34.661)	Prec@5 64.844 (65.035)
Epoch: [29][9760/14090]	Time 0.770 (0.751)	Data 0.001 (0.001)	Loss 2.3363 (2.7374)	Prec@1 41.406 (34.662)	Prec@5 72.656 (65.034)
Epoch: [29][9770/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 2.5641 (2.7374)	Prec@1 32.812 (34.663)	Prec@5 69.531 (65.034)
Epoch: [29][9780/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 2.4984 (2.7374)	Prec@1 37.500 (34.664)	Prec@5 74.219 (65.034)
Epoch: [29][9790/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 2.5386 (2.7374)	Prec@1 35.156 (34.664)	Prec@5 64.062 (65.032)
Epoch: [29][9800/14090]	Time 0.760 (0.751)	Data 0.001 (0.001)	Loss 2.7323 (2.7374)	Prec@1 39.844 (34.664)	Prec@5 61.719 (65.029)
Epoch: [29][9810/14090]	Time 0.762 (0.751)	Data 0.001 (0.001)	Loss 2.5491 (2.7373)	Prec@1 35.938 (34.667)	Prec@5 71.094 (65.033)
Epoch: [29][9820/14090]	Time 0.768 (0.751)	Data 0.001 (0.001)	Loss 2.5917 (2.7372)	Prec@1 36.719 (34.669)	Prec@5 70.312 (65.036)
Epoch: [29][9830/14090]	Time 0.763 (0.751)	Data 0.001 (0.001)	Loss 2.7943 (2.7373)	Prec@1 35.156 (34.668)	Prec@5 66.406 (65.035)
Epoch: [29][9840/14090]	Time 0.760 (0.751)	Data 0.001 (0.001)	Loss 2.9080 (2.7374)	Prec@1 29.688 (34.667)	Prec@5 60.938 (65.034)
Epoch: [29][9850/14090]	Time 0.765 (0.751)	Data 0.001 (0.001)	Loss 2.7216 (2.7373)	Prec@1 39.062 (34.668)	Prec@5 65.625 (65.036)
Epoch: [29][9860/14090]	Time 0.739 (0.751)	Data 0.001 (0.001)	Loss 2.8811 (2.7374)	Prec@1 34.375 (34.667)	Prec@5 65.625 (65.036)
Epoch: [29][9870/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 2.6983 (2.7374)	Prec@1 37.500 (34.666)	Prec@5 62.500 (65.035)
Epoch: [29][9880/14090]	Time 0.734 (0.751)	Data 0.001 (0.001)	Loss 2.4658 (2.7374)	Prec@1 33.594 (34.667)	Prec@5 71.875 (65.037)
Epoch: [29][9890/14090]	Time 0.878 (0.751)	Data 0.002 (0.001)	Loss 2.6890 (2.7374)	Prec@1 35.156 (34.668)	Prec@5 67.188 (65.036)
Epoch: [29][9900/14090]	Time 0.734 (0.751)	Data 0.001 (0.001)	Loss 2.7460 (2.7374)	Prec@1 32.812 (34.668)	Prec@5 65.625 (65.036)
Epoch: [29][9910/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 2.5792 (2.7373)	Prec@1 32.812 (34.671)	Prec@5 69.531 (65.039)
Epoch: [29][9920/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 2.6372 (2.7373)	Prec@1 37.500 (34.671)	Prec@5 61.719 (65.038)
Epoch: [29][9930/14090]	Time 0.733 (0.751)	Data 0.001 (0.001)	Loss 2.9726 (2.7374)	Prec@1 32.031 (34.669)	Prec@5 58.594 (65.036)
Epoch: [29][9940/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 2.8866 (2.7374)	Prec@1 33.594 (34.669)	Prec@5 64.062 (65.035)
Epoch: [29][9950/14090]	Time 0.777 (0.751)	Data 0.001 (0.001)	Loss 2.4806 (2.7373)	Prec@1 39.844 (34.670)	Prec@5 74.219 (65.037)
Epoch: [29][9960/14090]	Time 0.760 (0.751)	Data 0.001 (0.001)	Loss 2.3806 (2.7373)	Prec@1 37.500 (34.669)	Prec@5 71.094 (65.038)
Epoch: [29][9970/14090]	Time 0.797 (0.751)	Data 0.001 (0.001)	Loss 2.5430 (2.7372)	Prec@1 34.375 (34.669)	Prec@5 64.062 (65.038)
Epoch: [29][9980/14090]	Time 0.766 (0.751)	Data 0.001 (0.001)	Loss 2.7382 (2.7371)	Prec@1 35.156 (34.670)	Prec@5 64.062 (65.039)
Epoch: [29][9990/14090]	Time 0.739 (0.751)	Data 0.001 (0.001)	Loss 2.8367 (2.7371)	Prec@1 27.344 (34.670)	Prec@5 64.062 (65.039)
Epoch: [29][10000/14090]	Time 0.729 (0.751)	Data 0.001 (0.001)	Loss 2.5725 (2.7370)	Prec@1 39.844 (34.672)	Prec@5 68.750 (65.041)
Epoch: [29][10010/14090]	Time 0.771 (0.751)	Data 0.001 (0.001)	Loss 2.7618 (2.7370)	Prec@1 38.281 (34.672)	Prec@5 61.719 (65.039)
Epoch: [29][10020/14090]	Time 0.723 (0.751)	Data 0.001 (0.001)	Loss 2.5260 (2.7371)	Prec@1 34.375 (34.671)	Prec@5 66.406 (65.038)
Epoch: [29][10030/14090]	Time 0.768 (0.751)	Data 0.001 (0.001)	Loss 2.7492 (2.7372)	Prec@1 35.938 (34.673)	Prec@5 60.156 (65.037)
Epoch: [29][10040/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.7783 (2.7372)	Prec@1 35.938 (34.674)	Prec@5 64.062 (65.037)
Epoch: [29][10050/14090]	Time 0.765 (0.751)	Data 0.001 (0.001)	Loss 2.6313 (2.7371)	Prec@1 33.594 (34.674)	Prec@5 67.188 (65.038)
Epoch: [29][10060/14090]	Time 0.728 (0.751)	Data 0.001 (0.001)	Loss 2.6526 (2.7371)	Prec@1 42.188 (34.674)	Prec@5 65.625 (65.039)
Epoch: [29][10070/14090]	Time 0.741 (0.751)	Data 0.001 (0.001)	Loss 2.4923 (2.7371)	Prec@1 37.500 (34.674)	Prec@5 71.875 (65.038)
Epoch: [29][10080/14090]	Time 0.782 (0.751)	Data 0.001 (0.001)	Loss 3.0358 (2.7371)	Prec@1 28.125 (34.675)	Prec@5 57.031 (65.039)
Epoch: [29][10090/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 2.9362 (2.7373)	Prec@1 32.031 (34.671)	Prec@5 56.250 (65.033)
Epoch: [29][10100/14090]	Time 0.729 (0.751)	Data 0.001 (0.001)	Loss 3.1305 (2.7373)	Prec@1 30.469 (34.671)	Prec@5 62.500 (65.032)
Epoch: [29][10110/14090]	Time 0.770 (0.751)	Data 0.001 (0.001)	Loss 2.7975 (2.7373)	Prec@1 30.469 (34.671)	Prec@5 61.719 (65.031)
Epoch: [29][10120/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 2.7204 (2.7373)	Prec@1 32.812 (34.670)	Prec@5 62.500 (65.030)
Epoch: [29][10130/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 2.9621 (2.7375)	Prec@1 28.125 (34.667)	Prec@5 58.594 (65.025)
Epoch: [29][10140/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 2.5853 (2.7376)	Prec@1 42.188 (34.667)	Prec@5 71.875 (65.024)
Epoch: [29][10150/14090]	Time 0.741 (0.751)	Data 0.001 (0.001)	Loss 2.4913 (2.7376)	Prec@1 39.062 (34.667)	Prec@5 71.875 (65.024)
Epoch: [29][10160/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 2.8143 (2.7376)	Prec@1 29.688 (34.667)	Prec@5 64.062 (65.024)
Epoch: [29][10170/14090]	Time 0.776 (0.751)	Data 0.001 (0.001)	Loss 2.4856 (2.7376)	Prec@1 38.281 (34.666)	Prec@5 67.969 (65.024)
Epoch: [29][10180/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 3.2212 (2.7377)	Prec@1 25.781 (34.665)	Prec@5 54.688 (65.021)
Epoch: [29][10190/14090]	Time 0.740 (0.751)	Data 0.001 (0.001)	Loss 2.3595 (2.7377)	Prec@1 39.844 (34.665)	Prec@5 75.781 (65.021)
Epoch: [29][10200/14090]	Time 0.782 (0.751)	Data 0.001 (0.001)	Loss 2.8672 (2.7377)	Prec@1 36.719 (34.664)	Prec@5 65.625 (65.022)
Epoch: [29][10210/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 2.9405 (2.7377)	Prec@1 32.812 (34.665)	Prec@5 61.719 (65.021)
Epoch: [29][10220/14090]	Time 0.773 (0.751)	Data 0.001 (0.001)	Loss 2.5637 (2.7377)	Prec@1 39.062 (34.665)	Prec@5 69.531 (65.021)
Epoch: [29][10230/14090]	Time 0.779 (0.751)	Data 0.001 (0.001)	Loss 2.5603 (2.7377)	Prec@1 38.281 (34.665)	Prec@5 68.750 (65.021)
Epoch: [29][10240/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 2.9180 (2.7377)	Prec@1 30.469 (34.663)	Prec@5 64.844 (65.019)
Epoch: [29][10250/14090]	Time 0.731 (0.751)	Data 0.001 (0.001)	Loss 2.8440 (2.7378)	Prec@1 35.156 (34.663)	Prec@5 63.281 (65.016)
Epoch: [29][10260/14090]	Time 0.743 (0.751)	Data 0.001 (0.001)	Loss 2.7622 (2.7379)	Prec@1 28.906 (34.662)	Prec@5 66.406 (65.015)
Epoch: [29][10270/14090]	Time 0.768 (0.751)	Data 0.001 (0.001)	Loss 2.7144 (2.7379)	Prec@1 35.156 (34.663)	Prec@5 64.844 (65.015)
Epoch: [29][10280/14090]	Time 0.721 (0.751)	Data 0.001 (0.001)	Loss 2.7087 (2.7378)	Prec@1 35.938 (34.664)	Prec@5 62.500 (65.014)
Epoch: [29][10290/14090]	Time 0.730 (0.751)	Data 0.001 (0.001)	Loss 2.6111 (2.7379)	Prec@1 34.375 (34.663)	Prec@5 71.094 (65.013)
Epoch: [29][10300/14090]	Time 0.759 (0.751)	Data 0.001 (0.001)	Loss 2.8418 (2.7379)	Prec@1 32.812 (34.663)	Prec@5 64.844 (65.012)
Epoch: [29][10310/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 2.3934 (2.7378)	Prec@1 41.406 (34.666)	Prec@5 73.438 (65.012)
Epoch: [29][10320/14090]	Time 0.724 (0.751)	Data 0.001 (0.001)	Loss 2.7103 (2.7378)	Prec@1 38.281 (34.666)	Prec@5 66.406 (65.012)
Epoch: [29][10330/14090]	Time 0.783 (0.751)	Data 0.001 (0.001)	Loss 2.7750 (2.7379)	Prec@1 28.125 (34.664)	Prec@5 60.938 (65.010)
Epoch: [29][10340/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 2.6685 (2.7379)	Prec@1 33.594 (34.663)	Prec@5 67.188 (65.010)
Epoch: [29][10350/14090]	Time 0.728 (0.751)	Data 0.001 (0.001)	Loss 2.8170 (2.7379)	Prec@1 27.344 (34.664)	Prec@5 63.281 (65.010)
Epoch: [29][10360/14090]	Time 0.768 (0.751)	Data 0.001 (0.001)	Loss 2.6982 (2.7378)	Prec@1 33.594 (34.664)	Prec@5 66.406 (65.011)
Epoch: [29][10370/14090]	Time 0.739 (0.751)	Data 0.001 (0.001)	Loss 2.7388 (2.7378)	Prec@1 36.719 (34.666)	Prec@5 64.844 (65.011)
Epoch: [29][10380/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 2.5575 (2.7377)	Prec@1 40.625 (34.667)	Prec@5 69.531 (65.012)
Epoch: [29][10390/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 2.8389 (2.7377)	Prec@1 38.281 (34.669)	Prec@5 62.500 (65.013)
Epoch: [29][10400/14090]	Time 0.761 (0.751)	Data 0.001 (0.001)	Loss 2.6818 (2.7376)	Prec@1 37.500 (34.670)	Prec@5 64.844 (65.014)
Epoch: [29][10410/14090]	Time 0.789 (0.751)	Data 0.001 (0.001)	Loss 2.6077 (2.7376)	Prec@1 36.719 (34.671)	Prec@5 62.500 (65.014)
Epoch: [29][10420/14090]	Time 0.764 (0.751)	Data 0.001 (0.001)	Loss 2.7791 (2.7375)	Prec@1 32.812 (34.670)	Prec@5 60.156 (65.015)
Epoch: [29][10430/14090]	Time 0.742 (0.751)	Data 0.001 (0.001)	Loss 2.7964 (2.7375)	Prec@1 35.156 (34.671)	Prec@5 67.188 (65.016)
Epoch: [29][10440/14090]	Time 0.726 (0.751)	Data 0.001 (0.001)	Loss 2.9801 (2.7375)	Prec@1 33.594 (34.671)	Prec@5 60.938 (65.016)
Epoch: [29][10450/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 2.7951 (2.7374)	Prec@1 35.156 (34.672)	Prec@5 62.500 (65.017)
Epoch: [29][10460/14090]	Time 0.739 (0.751)	Data 0.001 (0.001)	Loss 2.8802 (2.7374)	Prec@1 28.125 (34.674)	Prec@5 67.188 (65.018)
Epoch: [29][10470/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 2.6896 (2.7374)	Prec@1 30.469 (34.674)	Prec@5 70.312 (65.018)
Epoch: [29][10480/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 2.5649 (2.7374)	Prec@1 38.281 (34.675)	Prec@5 66.406 (65.017)
Epoch: [29][10490/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 2.6539 (2.7375)	Prec@1 33.594 (34.675)	Prec@5 71.875 (65.016)
Epoch: [29][10500/14090]	Time 0.740 (0.751)	Data 0.001 (0.001)	Loss 2.6404 (2.7376)	Prec@1 38.281 (34.673)	Prec@5 67.188 (65.013)
Epoch: [29][10510/14090]	Time 0.771 (0.751)	Data 0.001 (0.001)	Loss 3.1783 (2.7376)	Prec@1 21.094 (34.673)	Prec@5 57.812 (65.013)
Epoch: [29][10520/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 3.0407 (2.7377)	Prec@1 29.688 (34.669)	Prec@5 55.469 (65.012)
Epoch: [29][10530/14090]	Time 0.734 (0.751)	Data 0.001 (0.001)	Loss 2.6944 (2.7377)	Prec@1 39.062 (34.669)	Prec@5 66.406 (65.012)
Epoch: [29][10540/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 2.5295 (2.7376)	Prec@1 36.719 (34.670)	Prec@5 69.531 (65.013)
Epoch: [29][10550/14090]	Time 0.741 (0.751)	Data 0.001 (0.001)	Loss 2.9138 (2.7376)	Prec@1 30.469 (34.669)	Prec@5 63.281 (65.014)
Epoch: [29][10560/14090]	Time 0.759 (0.751)	Data 0.001 (0.001)	Loss 2.7961 (2.7376)	Prec@1 36.719 (34.668)	Prec@5 69.531 (65.015)
Epoch: [29][10570/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 2.5704 (2.7376)	Prec@1 32.031 (34.669)	Prec@5 68.750 (65.016)
Epoch: [29][10580/14090]	Time 0.727 (0.751)	Data 0.001 (0.001)	Loss 2.7863 (2.7376)	Prec@1 37.500 (34.669)	Prec@5 63.281 (65.014)
Epoch: [29][10590/14090]	Time 0.769 (0.751)	Data 0.001 (0.001)	Loss 2.7272 (2.7376)	Prec@1 33.594 (34.670)	Prec@5 71.094 (65.016)
Epoch: [29][10600/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 2.9081 (2.7376)	Prec@1 25.000 (34.669)	Prec@5 59.375 (65.016)
Epoch: [29][10610/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 2.9147 (2.7376)	Prec@1 33.594 (34.669)	Prec@5 59.375 (65.016)
Epoch: [29][10620/14090]	Time 0.760 (0.751)	Data 0.001 (0.001)	Loss 2.5694 (2.7376)	Prec@1 41.406 (34.668)	Prec@5 71.875 (65.016)
Epoch: [29][10630/14090]	Time 0.737 (0.751)	Data 0.001 (0.001)	Loss 2.5148 (2.7377)	Prec@1 37.500 (34.667)	Prec@5 65.625 (65.014)
Epoch: [29][10640/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 2.8391 (2.7377)	Prec@1 29.688 (34.668)	Prec@5 61.719 (65.015)
Epoch: [29][10650/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 2.3718 (2.7376)	Prec@1 42.188 (34.669)	Prec@5 72.656 (65.015)
Epoch: [29][10660/14090]	Time 0.743 (0.751)	Data 0.001 (0.001)	Loss 2.3631 (2.7375)	Prec@1 40.625 (34.671)	Prec@5 73.438 (65.016)
Epoch: [29][10670/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 2.8847 (2.7375)	Prec@1 34.375 (34.671)	Prec@5 63.281 (65.016)
Epoch: [29][10680/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.4098 (2.7374)	Prec@1 39.844 (34.674)	Prec@5 67.969 (65.018)
Epoch: [29][10690/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 2.8408 (2.7374)	Prec@1 35.156 (34.673)	Prec@5 62.500 (65.018)
Epoch: [29][10700/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.9419 (2.7374)	Prec@1 31.250 (34.674)	Prec@5 58.594 (65.018)
Epoch: [29][10710/14090]	Time 0.742 (0.751)	Data 0.001 (0.001)	Loss 2.5577 (2.7374)	Prec@1 39.844 (34.674)	Prec@5 67.188 (65.016)
Epoch: [29][10720/14090]	Time 0.743 (0.751)	Data 0.002 (0.001)	Loss 2.4889 (2.7373)	Prec@1 39.062 (34.675)	Prec@5 67.188 (65.017)
Epoch: [29][10730/14090]	Time 0.829 (0.751)	Data 0.001 (0.001)	Loss 3.1480 (2.7374)	Prec@1 27.344 (34.674)	Prec@5 59.375 (65.019)
Epoch: [29][10740/14090]	Time 0.739 (0.751)	Data 0.001 (0.001)	Loss 2.7990 (2.7374)	Prec@1 32.812 (34.675)	Prec@5 65.625 (65.019)
Epoch: [29][10750/14090]	Time 0.772 (0.751)	Data 0.001 (0.001)	Loss 2.6580 (2.7373)	Prec@1 36.719 (34.675)	Prec@5 67.188 (65.021)
Epoch: [29][10760/14090]	Time 0.739 (0.751)	Data 0.003 (0.001)	Loss 3.0292 (2.7373)	Prec@1 25.781 (34.676)	Prec@5 55.469 (65.022)
Epoch: [29][10770/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 2.5650 (2.7372)	Prec@1 36.719 (34.675)	Prec@5 67.969 (65.023)
Epoch: [29][10780/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 2.9594 (2.7374)	Prec@1 32.031 (34.673)	Prec@5 59.375 (65.021)
Epoch: [29][10790/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 2.6799 (2.7374)	Prec@1 35.156 (34.673)	Prec@5 67.188 (65.020)
Epoch: [29][10800/14090]	Time 0.759 (0.751)	Data 0.001 (0.001)	Loss 2.5430 (2.7373)	Prec@1 42.969 (34.675)	Prec@5 70.312 (65.023)
Epoch: [29][10810/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 3.0766 (2.7373)	Prec@1 28.125 (34.674)	Prec@5 55.469 (65.022)
Epoch: [29][10820/14090]	Time 0.757 (0.751)	Data 0.001 (0.001)	Loss 2.5419 (2.7373)	Prec@1 39.062 (34.674)	Prec@5 67.188 (65.022)
Epoch: [29][10830/14090]	Time 0.737 (0.751)	Data 0.001 (0.001)	Loss 2.7097 (2.7373)	Prec@1 39.844 (34.675)	Prec@5 64.844 (65.023)
Epoch: [29][10840/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 2.8238 (2.7373)	Prec@1 31.250 (34.675)	Prec@5 64.062 (65.023)
Epoch: [29][10850/14090]	Time 0.737 (0.751)	Data 0.001 (0.001)	Loss 2.6830 (2.7374)	Prec@1 32.031 (34.673)	Prec@5 66.406 (65.021)
Epoch: [29][10860/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 3.0620 (2.7375)	Prec@1 26.562 (34.671)	Prec@5 60.156 (65.020)
Epoch: [29][10870/14090]	Time 0.769 (0.751)	Data 0.001 (0.001)	Loss 2.7949 (2.7374)	Prec@1 32.031 (34.673)	Prec@5 67.969 (65.021)
Epoch: [29][10880/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 2.4593 (2.7374)	Prec@1 35.938 (34.672)	Prec@5 72.656 (65.021)
Epoch: [29][10890/14090]	Time 0.730 (0.751)	Data 0.001 (0.001)	Loss 2.6559 (2.7374)	Prec@1 35.156 (34.673)	Prec@5 66.406 (65.023)
Epoch: [29][10900/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 2.7412 (2.7374)	Prec@1 27.344 (34.672)	Prec@5 65.625 (65.023)
Epoch: [29][10910/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.9575 (2.7374)	Prec@1 27.344 (34.670)	Prec@5 64.062 (65.021)
Epoch: [29][10920/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 2.7088 (2.7375)	Prec@1 35.938 (34.668)	Prec@5 66.406 (65.019)
Epoch: [29][10930/14090]	Time 0.757 (0.751)	Data 0.001 (0.001)	Loss 2.8641 (2.7375)	Prec@1 30.469 (34.668)	Prec@5 57.031 (65.018)
Epoch: [29][10940/14090]	Time 0.739 (0.751)	Data 0.001 (0.001)	Loss 2.3235 (2.7375)	Prec@1 46.875 (34.668)	Prec@5 73.438 (65.018)
Epoch: [29][10950/14090]	Time 0.757 (0.751)	Data 0.001 (0.001)	Loss 2.6792 (2.7375)	Prec@1 32.812 (34.668)	Prec@5 67.188 (65.019)
Epoch: [29][10960/14090]	Time 0.771 (0.751)	Data 0.001 (0.001)	Loss 2.8651 (2.7375)	Prec@1 32.812 (34.667)	Prec@5 64.062 (65.019)
Epoch: [29][10970/14090]	Time 0.787 (0.751)	Data 0.001 (0.001)	Loss 2.6357 (2.7375)	Prec@1 39.062 (34.668)	Prec@5 71.094 (65.021)
Epoch: [29][10980/14090]	Time 0.768 (0.751)	Data 0.001 (0.001)	Loss 2.7351 (2.7375)	Prec@1 30.469 (34.667)	Prec@5 64.844 (65.019)
Epoch: [29][10990/14090]	Time 0.761 (0.751)	Data 0.001 (0.001)	Loss 2.8247 (2.7376)	Prec@1 34.375 (34.667)	Prec@5 60.156 (65.018)
Epoch: [29][11000/14090]	Time 0.725 (0.751)	Data 0.001 (0.001)	Loss 2.8454 (2.7376)	Prec@1 34.375 (34.666)	Prec@5 61.719 (65.017)
Epoch: [29][11010/14090]	Time 0.742 (0.751)	Data 0.001 (0.001)	Loss 2.7696 (2.7376)	Prec@1 33.594 (34.668)	Prec@5 67.969 (65.016)
Epoch: [29][11020/14090]	Time 0.739 (0.751)	Data 0.001 (0.001)	Loss 2.6282 (2.7376)	Prec@1 38.281 (34.667)	Prec@5 59.375 (65.016)
Epoch: [29][11030/14090]	Time 0.731 (0.751)	Data 0.001 (0.001)	Loss 2.6865 (2.7376)	Prec@1 39.062 (34.668)	Prec@5 66.406 (65.015)
Epoch: [29][11040/14090]	Time 0.778 (0.751)	Data 0.001 (0.001)	Loss 2.5453 (2.7376)	Prec@1 35.156 (34.669)	Prec@5 75.000 (65.016)
Epoch: [29][11050/14090]	Time 0.725 (0.751)	Data 0.001 (0.001)	Loss 2.4233 (2.7375)	Prec@1 40.625 (34.669)	Prec@5 71.094 (65.017)
Epoch: [29][11060/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 2.7073 (2.7375)	Prec@1 37.500 (34.669)	Prec@5 67.188 (65.018)
Epoch: [29][11070/14090]	Time 0.776 (0.751)	Data 0.001 (0.001)	Loss 2.8657 (2.7375)	Prec@1 30.469 (34.669)	Prec@5 61.719 (65.018)
Epoch: [29][11080/14090]	Time 0.765 (0.751)	Data 0.001 (0.001)	Loss 2.8494 (2.7376)	Prec@1 29.688 (34.670)	Prec@5 60.156 (65.018)
Epoch: [29][11090/14090]	Time 0.772 (0.751)	Data 0.001 (0.001)	Loss 2.6367 (2.7375)	Prec@1 37.500 (34.671)	Prec@5 65.625 (65.019)
Epoch: [29][11100/14090]	Time 0.739 (0.751)	Data 0.001 (0.001)	Loss 2.9516 (2.7376)	Prec@1 27.344 (34.670)	Prec@5 58.594 (65.018)
Epoch: [29][11110/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 2.4841 (2.7376)	Prec@1 39.844 (34.671)	Prec@5 69.531 (65.018)
Epoch: [29][11120/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 2.6008 (2.7376)	Prec@1 40.625 (34.671)	Prec@5 65.625 (65.017)
Epoch: [29][11130/14090]	Time 0.772 (0.751)	Data 0.001 (0.001)	Loss 2.8224 (2.7376)	Prec@1 28.906 (34.669)	Prec@5 65.625 (65.018)
Epoch: [29][11140/14090]	Time 0.767 (0.751)	Data 0.001 (0.001)	Loss 2.7763 (2.7375)	Prec@1 32.812 (34.670)	Prec@5 64.844 (65.019)
Epoch: [29][11150/14090]	Time 0.723 (0.751)	Data 0.001 (0.001)	Loss 2.7609 (2.7375)	Prec@1 38.281 (34.671)	Prec@5 70.312 (65.019)
Epoch: [29][11160/14090]	Time 0.783 (0.751)	Data 0.001 (0.001)	Loss 2.5701 (2.7374)	Prec@1 37.500 (34.673)	Prec@5 68.750 (65.019)
Epoch: [29][11170/14090]	Time 0.759 (0.751)	Data 0.001 (0.001)	Loss 2.4789 (2.7374)	Prec@1 41.406 (34.674)	Prec@5 67.188 (65.019)
Epoch: [29][11180/14090]	Time 0.759 (0.751)	Data 0.001 (0.001)	Loss 2.8219 (2.7375)	Prec@1 35.938 (34.672)	Prec@5 67.969 (65.017)
Epoch: [29][11190/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 2.8445 (2.7374)	Prec@1 32.812 (34.672)	Prec@5 62.500 (65.017)
Epoch: [29][11200/14090]	Time 0.730 (0.751)	Data 0.001 (0.001)	Loss 2.5577 (2.7374)	Prec@1 33.594 (34.671)	Prec@5 68.750 (65.016)
Epoch: [29][11210/14090]	Time 0.766 (0.751)	Data 0.001 (0.001)	Loss 2.6740 (2.7375)	Prec@1 36.719 (34.669)	Prec@5 71.094 (65.016)
Epoch: [29][11220/14090]	Time 0.726 (0.751)	Data 0.001 (0.001)	Loss 2.8576 (2.7376)	Prec@1 32.812 (34.668)	Prec@5 60.156 (65.016)
Epoch: [29][11230/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 2.5870 (2.7376)	Prec@1 35.156 (34.669)	Prec@5 67.969 (65.015)
Epoch: [29][11240/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 2.8769 (2.7376)	Prec@1 28.125 (34.670)	Prec@5 62.500 (65.014)
Epoch: [29][11250/14090]	Time 0.768 (0.751)	Data 0.001 (0.001)	Loss 2.4701 (2.7376)	Prec@1 35.938 (34.670)	Prec@5 75.000 (65.015)
Epoch: [29][11260/14090]	Time 0.734 (0.751)	Data 0.001 (0.001)	Loss 2.6026 (2.7376)	Prec@1 40.625 (34.671)	Prec@5 67.188 (65.014)
Epoch: [29][11270/14090]	Time 0.728 (0.751)	Data 0.001 (0.001)	Loss 2.6329 (2.7376)	Prec@1 32.812 (34.671)	Prec@5 71.875 (65.016)
Epoch: [29][11280/14090]	Time 0.739 (0.751)	Data 0.001 (0.001)	Loss 2.7266 (2.7376)	Prec@1 30.469 (34.670)	Prec@5 61.719 (65.015)
Epoch: [29][11290/14090]	Time 0.818 (0.751)	Data 0.001 (0.001)	Loss 2.9403 (2.7377)	Prec@1 31.250 (34.670)	Prec@5 64.844 (65.014)
Epoch: [29][11300/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 2.6067 (2.7377)	Prec@1 35.156 (34.670)	Prec@5 68.750 (65.015)
Epoch: [29][11310/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 2.8716 (2.7377)	Prec@1 32.812 (34.668)	Prec@5 63.281 (65.013)
Epoch: [29][11320/14090]	Time 0.778 (0.751)	Data 0.001 (0.001)	Loss 2.4174 (2.7377)	Prec@1 37.500 (34.668)	Prec@5 69.531 (65.015)
Epoch: [29][11330/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 2.7642 (2.7377)	Prec@1 39.062 (34.668)	Prec@5 65.625 (65.014)
Epoch: [29][11340/14090]	Time 0.769 (0.751)	Data 0.001 (0.001)	Loss 2.9258 (2.7376)	Prec@1 31.250 (34.667)	Prec@5 62.500 (65.014)
Epoch: [29][11350/14090]	Time 0.761 (0.751)	Data 0.001 (0.001)	Loss 2.7084 (2.7376)	Prec@1 30.469 (34.668)	Prec@5 69.531 (65.014)
Epoch: [29][11360/14090]	Time 0.832 (0.751)	Data 0.001 (0.001)	Loss 2.7136 (2.7376)	Prec@1 33.594 (34.669)	Prec@5 64.844 (65.015)
Epoch: [29][11370/14090]	Time 0.765 (0.751)	Data 0.001 (0.001)	Loss 2.6482 (2.7375)	Prec@1 37.500 (34.670)	Prec@5 64.062 (65.015)
Epoch: [29][11380/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 2.7969 (2.7376)	Prec@1 32.812 (34.671)	Prec@5 67.969 (65.014)
Epoch: [29][11390/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 2.8733 (2.7376)	Prec@1 33.594 (34.671)	Prec@5 64.062 (65.013)
Epoch: [29][11400/14090]	Time 0.733 (0.751)	Data 0.001 (0.001)	Loss 2.4315 (2.7376)	Prec@1 39.844 (34.668)	Prec@5 72.656 (65.013)
Epoch: [29][11410/14090]	Time 0.761 (0.751)	Data 0.001 (0.001)	Loss 2.5372 (2.7376)	Prec@1 35.156 (34.667)	Prec@5 67.969 (65.012)
Epoch: [29][11420/14090]	Time 0.776 (0.751)	Data 0.001 (0.001)	Loss 2.8969 (2.7376)	Prec@1 31.250 (34.667)	Prec@5 59.375 (65.011)
Epoch: [29][11430/14090]	Time 0.772 (0.751)	Data 0.001 (0.001)	Loss 2.8857 (2.7377)	Prec@1 27.344 (34.665)	Prec@5 62.500 (65.010)
Epoch: [29][11440/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 2.4602 (2.7377)	Prec@1 38.281 (34.665)	Prec@5 72.656 (65.010)
Epoch: [29][11450/14090]	Time 0.733 (0.751)	Data 0.001 (0.001)	Loss 2.8528 (2.7377)	Prec@1 32.812 (34.665)	Prec@5 63.281 (65.010)
Epoch: [29][11460/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 2.5084 (2.7377)	Prec@1 38.281 (34.663)	Prec@5 67.969 (65.009)
Epoch: [29][11470/14090]	Time 0.746 (0.751)	Data 0.003 (0.001)	Loss 2.6342 (2.7377)	Prec@1 36.719 (34.663)	Prec@5 67.188 (65.008)
Epoch: [29][11480/14090]	Time 0.775 (0.751)	Data 0.001 (0.001)	Loss 2.7554 (2.7378)	Prec@1 36.719 (34.663)	Prec@5 65.625 (65.008)
Epoch: [29][11490/14090]	Time 0.741 (0.751)	Data 0.001 (0.001)	Loss 2.9519 (2.7379)	Prec@1 33.594 (34.660)	Prec@5 57.812 (65.006)
Epoch: [29][11500/14090]	Time 0.850 (0.751)	Data 0.001 (0.001)	Loss 2.5760 (2.7379)	Prec@1 35.938 (34.659)	Prec@5 67.188 (65.005)
Epoch: [29][11510/14090]	Time 0.782 (0.751)	Data 0.001 (0.001)	Loss 2.8479 (2.7380)	Prec@1 32.031 (34.659)	Prec@5 64.062 (65.005)
Epoch: [29][11520/14090]	Time 0.761 (0.751)	Data 0.001 (0.001)	Loss 2.8513 (2.7380)	Prec@1 32.812 (34.658)	Prec@5 64.062 (65.006)
Epoch: [29][11530/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 2.4219 (2.7379)	Prec@1 39.062 (34.658)	Prec@5 71.875 (65.007)
Epoch: [29][11540/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 2.5847 (2.7379)	Prec@1 32.812 (34.658)	Prec@5 69.531 (65.007)
Epoch: [29][11550/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 2.5151 (2.7379)	Prec@1 39.844 (34.660)	Prec@5 64.844 (65.006)
Epoch: [29][11560/14090]	Time 0.766 (0.751)	Data 0.001 (0.001)	Loss 3.0292 (2.7380)	Prec@1 30.469 (34.659)	Prec@5 59.375 (65.006)
Epoch: [29][11570/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 2.6037 (2.7380)	Prec@1 37.500 (34.659)	Prec@5 67.188 (65.005)
Epoch: [29][11580/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 2.8466 (2.7380)	Prec@1 33.594 (34.659)	Prec@5 62.500 (65.006)
Epoch: [29][11590/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 2.9018 (2.7380)	Prec@1 29.688 (34.658)	Prec@5 60.938 (65.006)
Epoch: [29][11600/14090]	Time 0.774 (0.751)	Data 0.001 (0.001)	Loss 2.8963 (2.7381)	Prec@1 28.906 (34.657)	Prec@5 58.594 (65.005)
Epoch: [29][11610/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 2.7153 (2.7381)	Prec@1 34.375 (34.657)	Prec@5 66.406 (65.005)
Epoch: [29][11620/14090]	Time 0.763 (0.751)	Data 0.001 (0.001)	Loss 2.5252 (2.7381)	Prec@1 35.938 (34.657)	Prec@5 63.281 (65.005)
Epoch: [29][11630/14090]	Time 0.730 (0.751)	Data 0.001 (0.001)	Loss 2.7646 (2.7381)	Prec@1 30.469 (34.658)	Prec@5 64.844 (65.005)
Epoch: [29][11640/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 2.6752 (2.7381)	Prec@1 30.469 (34.657)	Prec@5 67.969 (65.005)
Epoch: [29][11650/14090]	Time 0.751 (0.751)	Data 0.002 (0.001)	Loss 2.8592 (2.7381)	Prec@1 37.500 (34.659)	Prec@5 60.938 (65.005)
Epoch: [29][11660/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 2.8849 (2.7381)	Prec@1 29.688 (34.660)	Prec@5 62.500 (65.005)
Epoch: [29][11670/14090]	Time 0.730 (0.751)	Data 0.001 (0.001)	Loss 2.8412 (2.7380)	Prec@1 37.500 (34.660)	Prec@5 61.719 (65.007)
Epoch: [29][11680/14090]	Time 0.761 (0.751)	Data 0.001 (0.001)	Loss 2.8402 (2.7381)	Prec@1 31.250 (34.659)	Prec@5 58.594 (65.007)
Epoch: [29][11690/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 2.7138 (2.7381)	Prec@1 35.156 (34.660)	Prec@5 65.625 (65.007)
Epoch: [29][11700/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 2.9764 (2.7381)	Prec@1 33.594 (34.659)	Prec@5 59.375 (65.007)
Epoch: [29][11710/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 2.7262 (2.7380)	Prec@1 39.844 (34.661)	Prec@5 60.938 (65.007)
Epoch: [29][11720/14090]	Time 0.766 (0.751)	Data 0.001 (0.001)	Loss 3.0322 (2.7381)	Prec@1 33.594 (34.660)	Prec@5 61.719 (65.006)
Epoch: [29][11730/14090]	Time 0.769 (0.751)	Data 0.001 (0.001)	Loss 2.5504 (2.7381)	Prec@1 39.844 (34.659)	Prec@5 67.969 (65.005)
Epoch: [29][11740/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 2.6466 (2.7382)	Prec@1 39.062 (34.656)	Prec@5 63.281 (65.002)
Epoch: [29][11750/14090]	Time 0.774 (0.751)	Data 0.001 (0.001)	Loss 2.6970 (2.7382)	Prec@1 39.062 (34.655)	Prec@5 67.188 (65.002)
Epoch: [29][11760/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 2.6822 (2.7383)	Prec@1 38.281 (34.655)	Prec@5 64.844 (65.002)
Epoch: [29][11770/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 2.6624 (2.7383)	Prec@1 35.156 (34.655)	Prec@5 67.969 (65.001)
Epoch: [29][11780/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 2.8382 (2.7383)	Prec@1 36.719 (34.655)	Prec@5 63.281 (65.001)
Epoch: [29][11790/14090]	Time 0.729 (0.751)	Data 0.001 (0.001)	Loss 2.9612 (2.7383)	Prec@1 29.688 (34.653)	Prec@5 60.938 (65.000)
Epoch: [29][11800/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 3.0587 (2.7383)	Prec@1 25.000 (34.652)	Prec@5 61.719 (65.000)
Epoch: [29][11810/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 2.7601 (2.7383)	Prec@1 38.281 (34.652)	Prec@5 64.062 (65.000)
Epoch: [29][11820/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 2.6517 (2.7384)	Prec@1 35.156 (34.652)	Prec@5 67.188 (64.999)
Epoch: [29][11830/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 2.6022 (2.7384)	Prec@1 38.281 (34.652)	Prec@5 64.844 (64.999)
Epoch: [29][11840/14090]	Time 0.779 (0.751)	Data 0.001 (0.001)	Loss 2.8893 (2.7384)	Prec@1 30.469 (34.651)	Prec@5 65.625 (64.999)
Epoch: [29][11850/14090]	Time 0.743 (0.751)	Data 0.001 (0.001)	Loss 2.7004 (2.7384)	Prec@1 35.938 (34.652)	Prec@5 64.062 (64.998)
Epoch: [29][11860/14090]	Time 0.737 (0.751)	Data 0.001 (0.001)	Loss 2.4852 (2.7383)	Prec@1 35.156 (34.652)	Prec@5 71.094 (64.999)
Epoch: [29][11870/14090]	Time 0.765 (0.751)	Data 0.001 (0.001)	Loss 3.3561 (2.7384)	Prec@1 21.875 (34.650)	Prec@5 56.250 (64.998)
Epoch: [29][11880/14090]	Time 0.730 (0.751)	Data 0.001 (0.001)	Loss 2.5715 (2.7384)	Prec@1 31.250 (34.650)	Prec@5 65.625 (64.998)
Epoch: [29][11890/14090]	Time 0.761 (0.751)	Data 0.002 (0.001)	Loss 2.5171 (2.7383)	Prec@1 46.094 (34.652)	Prec@5 69.531 (65.000)
Epoch: [29][11900/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 3.0501 (2.7383)	Prec@1 30.469 (34.651)	Prec@5 59.375 (64.999)
Epoch: [29][11910/14090]	Time 0.771 (0.751)	Data 0.001 (0.001)	Loss 2.6506 (2.7383)	Prec@1 38.281 (34.652)	Prec@5 70.312 (65.000)
Epoch: [29][11920/14090]	Time 0.766 (0.751)	Data 0.001 (0.001)	Loss 2.5513 (2.7384)	Prec@1 41.406 (34.652)	Prec@5 67.188 (65.001)
Epoch: [29][11930/14090]	Time 0.765 (0.751)	Data 0.001 (0.001)	Loss 2.8367 (2.7383)	Prec@1 35.156 (34.652)	Prec@5 66.406 (65.002)
Epoch: [29][11940/14090]	Time 0.734 (0.751)	Data 0.001 (0.001)	Loss 2.9364 (2.7383)	Prec@1 35.156 (34.653)	Prec@5 64.062 (65.004)
Epoch: [29][11950/14090]	Time 0.768 (0.751)	Data 0.001 (0.001)	Loss 2.8002 (2.7383)	Prec@1 33.594 (34.654)	Prec@5 60.938 (65.005)
Epoch: [29][11960/14090]	Time 0.726 (0.751)	Data 0.001 (0.001)	Loss 2.7440 (2.7383)	Prec@1 33.594 (34.654)	Prec@5 62.500 (65.004)
Epoch: [29][11970/14090]	Time 0.731 (0.751)	Data 0.001 (0.001)	Loss 2.6584 (2.7383)	Prec@1 39.062 (34.654)	Prec@5 64.844 (65.004)
Epoch: [29][11980/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 2.4281 (2.7383)	Prec@1 35.938 (34.653)	Prec@5 71.094 (65.005)
Epoch: [29][11990/14090]	Time 0.852 (0.751)	Data 0.001 (0.001)	Loss 2.5278 (2.7383)	Prec@1 37.500 (34.654)	Prec@5 65.625 (65.005)
Epoch: [29][12000/14090]	Time 0.759 (0.751)	Data 0.001 (0.001)	Loss 2.9441 (2.7383)	Prec@1 29.688 (34.652)	Prec@5 61.719 (65.004)
Epoch: [29][12010/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 2.2722 (2.7384)	Prec@1 48.438 (34.653)	Prec@5 70.312 (65.003)
Epoch: [29][12020/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 2.7491 (2.7384)	Prec@1 32.031 (34.651)	Prec@5 67.969 (65.002)
Epoch: [29][12030/14090]	Time 0.725 (0.751)	Data 0.001 (0.001)	Loss 2.7778 (2.7385)	Prec@1 36.719 (34.650)	Prec@5 62.500 (64.999)
Epoch: [29][12040/14090]	Time 0.758 (0.751)	Data 0.002 (0.001)	Loss 2.8473 (2.7384)	Prec@1 28.906 (34.652)	Prec@5 57.812 (65.001)
Epoch: [29][12050/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 2.8281 (2.7384)	Prec@1 32.031 (34.652)	Prec@5 62.500 (65.000)
Epoch: [29][12060/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 3.0187 (2.7384)	Prec@1 32.031 (34.651)	Prec@5 57.812 (64.999)
Epoch: [29][12070/14090]	Time 0.777 (0.751)	Data 0.001 (0.001)	Loss 2.8639 (2.7383)	Prec@1 39.062 (34.652)	Prec@5 67.969 (65.000)
Epoch: [29][12080/14090]	Time 0.729 (0.751)	Data 0.001 (0.001)	Loss 2.7557 (2.7384)	Prec@1 32.812 (34.653)	Prec@5 60.938 (64.999)
Epoch: [29][12090/14090]	Time 0.766 (0.751)	Data 0.001 (0.001)	Loss 2.8579 (2.7384)	Prec@1 37.500 (34.654)	Prec@5 62.500 (64.998)
Epoch: [29][12100/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 2.6900 (2.7384)	Prec@1 36.719 (34.654)	Prec@5 60.156 (64.998)
Epoch: [29][12110/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 2.9506 (2.7383)	Prec@1 28.906 (34.657)	Prec@5 61.719 (65.001)
Epoch: [29][12120/14090]	Time 0.760 (0.751)	Data 0.001 (0.001)	Loss 3.0067 (2.7384)	Prec@1 31.250 (34.655)	Prec@5 61.719 (65.000)
Epoch: [29][12130/14090]	Time 0.742 (0.751)	Data 0.001 (0.001)	Loss 2.6547 (2.7385)	Prec@1 37.500 (34.654)	Prec@5 67.969 (64.999)
Epoch: [29][12140/14090]	Time 0.760 (0.751)	Data 0.001 (0.001)	Loss 2.7010 (2.7385)	Prec@1 30.469 (34.653)	Prec@5 66.406 (64.997)
Epoch: [29][12150/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 2.9529 (2.7385)	Prec@1 33.594 (34.654)	Prec@5 61.719 (64.998)
Epoch: [29][12160/14090]	Time 0.729 (0.751)	Data 0.001 (0.001)	Loss 2.6362 (2.7385)	Prec@1 39.062 (34.654)	Prec@5 64.844 (64.996)
Epoch: [29][12170/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 3.0494 (2.7385)	Prec@1 25.781 (34.653)	Prec@5 58.594 (64.996)
Epoch: [29][12180/14090]	Time 0.731 (0.751)	Data 0.001 (0.001)	Loss 2.6209 (2.7386)	Prec@1 32.031 (34.651)	Prec@5 64.062 (64.996)
Epoch: [29][12190/14090]	Time 0.718 (0.751)	Data 0.001 (0.001)	Loss 2.4436 (2.7386)	Prec@1 44.531 (34.651)	Prec@5 67.969 (64.995)
Epoch: [29][12200/14090]	Time 0.795 (0.751)	Data 0.001 (0.001)	Loss 3.0921 (2.7386)	Prec@1 32.031 (34.652)	Prec@5 63.281 (64.996)
Epoch: [29][12210/14090]	Time 0.742 (0.751)	Data 0.001 (0.001)	Loss 2.8705 (2.7386)	Prec@1 37.500 (34.651)	Prec@5 61.719 (64.995)
Epoch: [29][12220/14090]	Time 0.731 (0.751)	Data 0.001 (0.001)	Loss 2.7825 (2.7387)	Prec@1 35.156 (34.649)	Prec@5 64.062 (64.993)
Epoch: [29][12230/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 2.5728 (2.7387)	Prec@1 33.594 (34.649)	Prec@5 72.656 (64.993)
Epoch: [29][12240/14090]	Time 0.728 (0.751)	Data 0.001 (0.001)	Loss 2.5050 (2.7387)	Prec@1 38.281 (34.650)	Prec@5 68.750 (64.994)
Epoch: [29][12250/14090]	Time 0.765 (0.751)	Data 0.001 (0.001)	Loss 2.6959 (2.7387)	Prec@1 33.594 (34.651)	Prec@5 65.625 (64.994)
Epoch: [29][12260/14090]	Time 0.760 (0.751)	Data 0.001 (0.001)	Loss 2.8079 (2.7387)	Prec@1 38.281 (34.652)	Prec@5 63.281 (64.995)
Epoch: [29][12270/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 2.7258 (2.7387)	Prec@1 35.156 (34.652)	Prec@5 64.062 (64.994)
Epoch: [29][12280/14090]	Time 0.725 (0.751)	Data 0.001 (0.001)	Loss 2.6916 (2.7386)	Prec@1 36.719 (34.653)	Prec@5 65.625 (64.995)
Epoch: [29][12290/14090]	Time 0.733 (0.751)	Data 0.001 (0.001)	Loss 2.6282 (2.7386)	Prec@1 39.062 (34.654)	Prec@5 64.844 (64.995)
Epoch: [29][12300/14090]	Time 0.730 (0.751)	Data 0.001 (0.001)	Loss 2.5729 (2.7386)	Prec@1 38.281 (34.656)	Prec@5 65.625 (64.994)
Epoch: [29][12310/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 2.6164 (2.7386)	Prec@1 35.938 (34.657)	Prec@5 64.844 (64.995)
Epoch: [29][12320/14090]	Time 0.734 (0.751)	Data 0.001 (0.001)	Loss 2.5424 (2.7385)	Prec@1 36.719 (34.658)	Prec@5 72.656 (64.996)
Epoch: [29][12330/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 2.4503 (2.7385)	Prec@1 42.188 (34.657)	Prec@5 69.531 (64.996)
Epoch: [29][12340/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 2.5201 (2.7385)	Prec@1 40.625 (34.657)	Prec@5 70.312 (64.996)
Epoch: [29][12350/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 2.8053 (2.7385)	Prec@1 37.500 (34.656)	Prec@5 64.062 (64.994)
Epoch: [29][12360/14090]	Time 0.759 (0.751)	Data 0.001 (0.001)	Loss 2.9777 (2.7386)	Prec@1 29.688 (34.654)	Prec@5 64.062 (64.993)
Epoch: [29][12370/14090]	Time 0.734 (0.751)	Data 0.001 (0.001)	Loss 2.7325 (2.7386)	Prec@1 35.938 (34.655)	Prec@5 59.375 (64.993)
Epoch: [29][12380/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 2.5173 (2.7386)	Prec@1 37.500 (34.653)	Prec@5 69.531 (64.993)
Epoch: [29][12390/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 2.7919 (2.7386)	Prec@1 35.156 (34.654)	Prec@5 67.188 (64.994)
Epoch: [29][12400/14090]	Time 0.760 (0.751)	Data 0.001 (0.001)	Loss 2.5602 (2.7386)	Prec@1 37.500 (34.655)	Prec@5 69.531 (64.995)
Epoch: [29][12410/14090]	Time 0.741 (0.751)	Data 0.001 (0.001)	Loss 2.7780 (2.7387)	Prec@1 34.375 (34.653)	Prec@5 63.281 (64.993)
Epoch: [29][12420/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 2.9463 (2.7387)	Prec@1 34.375 (34.652)	Prec@5 62.500 (64.992)
Epoch: [29][12430/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 2.7772 (2.7387)	Prec@1 33.594 (34.652)	Prec@5 66.406 (64.992)
Epoch: [29][12440/14090]	Time 0.762 (0.751)	Data 0.001 (0.001)	Loss 2.5800 (2.7388)	Prec@1 32.031 (34.651)	Prec@5 68.750 (64.991)
Epoch: [29][12450/14090]	Time 0.740 (0.751)	Data 0.001 (0.001)	Loss 2.7625 (2.7388)	Prec@1 34.375 (34.649)	Prec@5 64.062 (64.991)
Epoch: [29][12460/14090]	Time 0.760 (0.751)	Data 0.001 (0.001)	Loss 2.8481 (2.7387)	Prec@1 27.344 (34.650)	Prec@5 58.594 (64.992)
Epoch: [29][12470/14090]	Time 0.766 (0.751)	Data 0.001 (0.001)	Loss 2.6377 (2.7387)	Prec@1 29.688 (34.650)	Prec@5 67.969 (64.994)
Epoch: [29][12480/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 2.8587 (2.7387)	Prec@1 33.594 (34.650)	Prec@5 64.844 (64.994)
Epoch: [29][12490/14090]	Time 0.768 (0.751)	Data 0.001 (0.001)	Loss 2.8089 (2.7388)	Prec@1 35.938 (34.650)	Prec@5 64.844 (64.993)
Epoch: [29][12500/14090]	Time 0.764 (0.751)	Data 0.001 (0.001)	Loss 2.5682 (2.7388)	Prec@1 32.812 (34.648)	Prec@5 67.188 (64.993)
Epoch: [29][12510/14090]	Time 0.730 (0.751)	Data 0.001 (0.001)	Loss 2.5292 (2.7388)	Prec@1 33.594 (34.648)	Prec@5 67.969 (64.993)
Epoch: [29][12520/14090]	Time 0.726 (0.751)	Data 0.001 (0.001)	Loss 2.5484 (2.7388)	Prec@1 42.188 (34.648)	Prec@5 72.656 (64.991)
Epoch: [29][12530/14090]	Time 0.730 (0.751)	Data 0.001 (0.001)	Loss 3.1752 (2.7389)	Prec@1 33.594 (34.649)	Prec@5 60.938 (64.991)
Epoch: [29][12540/14090]	Time 0.743 (0.751)	Data 0.001 (0.001)	Loss 2.6476 (2.7388)	Prec@1 42.188 (34.648)	Prec@5 67.188 (64.993)
Epoch: [29][12550/14090]	Time 0.728 (0.751)	Data 0.001 (0.001)	Loss 2.8660 (2.7389)	Prec@1 32.812 (34.647)	Prec@5 63.281 (64.992)
Epoch: [29][12560/14090]	Time 0.743 (0.751)	Data 0.001 (0.001)	Loss 2.7849 (2.7389)	Prec@1 35.156 (34.646)	Prec@5 62.500 (64.990)
Epoch: [29][12570/14090]	Time 0.775 (0.751)	Data 0.001 (0.001)	Loss 2.7457 (2.7389)	Prec@1 36.719 (34.646)	Prec@5 63.281 (64.990)
Epoch: [29][12580/14090]	Time 0.784 (0.751)	Data 0.001 (0.001)	Loss 2.9418 (2.7390)	Prec@1 28.125 (34.644)	Prec@5 59.375 (64.990)
Epoch: [29][12590/14090]	Time 0.739 (0.751)	Data 0.001 (0.001)	Loss 2.8774 (2.7390)	Prec@1 36.719 (34.645)	Prec@5 60.938 (64.990)
Epoch: [29][12600/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 2.7808 (2.7389)	Prec@1 34.375 (34.644)	Prec@5 63.281 (64.990)
Epoch: [29][12610/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 2.7664 (2.7389)	Prec@1 35.938 (34.646)	Prec@5 64.062 (64.989)
Epoch: [29][12620/14090]	Time 0.771 (0.751)	Data 0.001 (0.001)	Loss 2.8797 (2.7389)	Prec@1 29.688 (34.645)	Prec@5 63.281 (64.990)
Epoch: [29][12630/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 2.5214 (2.7389)	Prec@1 39.844 (34.645)	Prec@5 71.094 (64.988)
Epoch: [29][12640/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 2.9718 (2.7390)	Prec@1 33.594 (34.645)	Prec@5 62.500 (64.987)
Epoch: [29][12650/14090]	Time 0.733 (0.751)	Data 0.001 (0.001)	Loss 2.6063 (2.7390)	Prec@1 41.406 (34.646)	Prec@5 69.531 (64.987)
Epoch: [29][12660/14090]	Time 0.730 (0.751)	Data 0.001 (0.001)	Loss 2.8851 (2.7390)	Prec@1 31.250 (34.643)	Prec@5 64.844 (64.986)
Epoch: [29][12670/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 3.1413 (2.7390)	Prec@1 25.781 (34.643)	Prec@5 56.250 (64.985)
Epoch: [29][12680/14090]	Time 0.776 (0.751)	Data 0.001 (0.001)	Loss 2.5752 (2.7390)	Prec@1 39.062 (34.643)	Prec@5 71.875 (64.985)
Epoch: [29][12690/14090]	Time 0.740 (0.751)	Data 0.001 (0.001)	Loss 2.5111 (2.7390)	Prec@1 36.719 (34.644)	Prec@5 67.969 (64.986)
Epoch: [29][12700/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 2.7107 (2.7390)	Prec@1 28.125 (34.644)	Prec@5 67.188 (64.987)
Epoch: [29][12710/14090]	Time 0.759 (0.751)	Data 0.001 (0.001)	Loss 2.5672 (2.7389)	Prec@1 35.938 (34.645)	Prec@5 68.750 (64.989)
Epoch: [29][12720/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 2.7126 (2.7390)	Prec@1 32.812 (34.645)	Prec@5 63.281 (64.987)
Epoch: [29][12730/14090]	Time 0.743 (0.751)	Data 0.001 (0.001)	Loss 2.7321 (2.7389)	Prec@1 38.281 (34.646)	Prec@5 66.406 (64.988)
Epoch: [29][12740/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 2.8178 (2.7389)	Prec@1 32.031 (34.646)	Prec@5 62.500 (64.987)
Epoch: [29][12750/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 2.6942 (2.7389)	Prec@1 38.281 (34.646)	Prec@5 66.406 (64.988)
Epoch: [29][12760/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 3.0859 (2.7388)	Prec@1 20.312 (34.647)	Prec@5 56.250 (64.989)
Epoch: [29][12770/14090]	Time 0.765 (0.751)	Data 0.001 (0.001)	Loss 2.9017 (2.7388)	Prec@1 28.125 (34.645)	Prec@5 64.844 (64.989)
Epoch: [29][12780/14090]	Time 0.733 (0.751)	Data 0.001 (0.001)	Loss 2.7091 (2.7388)	Prec@1 39.844 (34.645)	Prec@5 66.406 (64.989)
Epoch: [29][12790/14090]	Time 0.764 (0.751)	Data 0.001 (0.001)	Loss 2.7005 (2.7388)	Prec@1 34.375 (34.646)	Prec@5 66.406 (64.990)
Epoch: [29][12800/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 2.7010 (2.7388)	Prec@1 35.938 (34.645)	Prec@5 68.750 (64.990)
Epoch: [29][12810/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 2.7936 (2.7388)	Prec@1 40.625 (34.646)	Prec@5 67.188 (64.991)
Epoch: [29][12820/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 2.7171 (2.7388)	Prec@1 34.375 (34.646)	Prec@5 66.406 (64.992)
Epoch: [29][12830/14090]	Time 0.733 (0.751)	Data 0.001 (0.001)	Loss 2.8139 (2.7388)	Prec@1 33.594 (34.645)	Prec@5 60.156 (64.992)
Epoch: [29][12840/14090]	Time 0.770 (0.751)	Data 0.001 (0.001)	Loss 2.5431 (2.7388)	Prec@1 34.375 (34.644)	Prec@5 67.188 (64.991)
Epoch: [29][12850/14090]	Time 0.739 (0.751)	Data 0.002 (0.001)	Loss 2.8922 (2.7388)	Prec@1 33.594 (34.643)	Prec@5 64.844 (64.992)
Epoch: [29][12860/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 2.7550 (2.7389)	Prec@1 31.250 (34.641)	Prec@5 66.406 (64.991)
Epoch: [29][12870/14090]	Time 0.727 (0.751)	Data 0.001 (0.001)	Loss 2.6911 (2.7389)	Prec@1 36.719 (34.640)	Prec@5 67.969 (64.992)
Epoch: [29][12880/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 2.6729 (2.7389)	Prec@1 37.500 (34.640)	Prec@5 65.625 (64.991)
Epoch: [29][12890/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 2.8133 (2.7390)	Prec@1 34.375 (34.640)	Prec@5 64.844 (64.989)
Epoch: [29][12900/14090]	Time 0.890 (0.751)	Data 0.001 (0.001)	Loss 2.7296 (2.7390)	Prec@1 39.844 (34.640)	Prec@5 62.500 (64.988)
Epoch: [29][12910/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 2.5801 (2.7390)	Prec@1 32.812 (34.639)	Prec@5 68.750 (64.988)
Epoch: [29][12920/14090]	Time 0.757 (0.751)	Data 0.001 (0.001)	Loss 2.5846 (2.7389)	Prec@1 38.281 (34.639)	Prec@5 69.531 (64.990)
Epoch: [29][12930/14090]	Time 0.768 (0.751)	Data 0.001 (0.001)	Loss 2.4661 (2.7389)	Prec@1 42.969 (34.640)	Prec@5 70.312 (64.990)
Epoch: [29][12940/14090]	Time 0.728 (0.751)	Data 0.001 (0.001)	Loss 2.7680 (2.7390)	Prec@1 36.719 (34.638)	Prec@5 61.719 (64.988)
Epoch: [29][12950/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 2.5363 (2.7389)	Prec@1 37.500 (34.639)	Prec@5 67.969 (64.989)
Epoch: [29][12960/14090]	Time 0.757 (0.751)	Data 0.001 (0.001)	Loss 2.6257 (2.7390)	Prec@1 34.375 (34.637)	Prec@5 67.188 (64.987)
Epoch: [29][12970/14090]	Time 0.831 (0.751)	Data 0.001 (0.001)	Loss 2.9272 (2.7390)	Prec@1 34.375 (34.638)	Prec@5 61.719 (64.987)
Epoch: [29][12980/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 2.9151 (2.7390)	Prec@1 35.156 (34.638)	Prec@5 62.500 (64.986)
Epoch: [29][12990/14090]	Time 0.728 (0.751)	Data 0.001 (0.001)	Loss 2.7067 (2.7390)	Prec@1 34.375 (34.638)	Prec@5 65.625 (64.987)
Epoch: [29][13000/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.7833 (2.7390)	Prec@1 33.594 (34.638)	Prec@5 62.500 (64.987)
Epoch: [29][13010/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 2.9601 (2.7390)	Prec@1 28.125 (34.638)	Prec@5 58.594 (64.987)
Epoch: [29][13020/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 2.3567 (2.7391)	Prec@1 40.625 (34.638)	Prec@5 68.750 (64.987)
Epoch: [29][13030/14090]	Time 0.760 (0.751)	Data 0.001 (0.001)	Loss 3.1572 (2.7391)	Prec@1 24.219 (34.637)	Prec@5 55.469 (64.984)
Epoch: [29][13040/14090]	Time 0.789 (0.751)	Data 0.001 (0.001)	Loss 2.9216 (2.7391)	Prec@1 34.375 (34.636)	Prec@5 65.625 (64.983)
Epoch: [29][13050/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 2.6219 (2.7391)	Prec@1 34.375 (34.636)	Prec@5 70.312 (64.984)
Epoch: [29][13060/14090]	Time 0.731 (0.751)	Data 0.001 (0.001)	Loss 2.5822 (2.7391)	Prec@1 37.500 (34.637)	Prec@5 67.969 (64.985)
Epoch: [29][13070/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 2.7396 (2.7392)	Prec@1 31.250 (34.636)	Prec@5 68.750 (64.984)
Epoch: [29][13080/14090]	Time 0.786 (0.751)	Data 0.001 (0.001)	Loss 2.6373 (2.7392)	Prec@1 33.594 (34.636)	Prec@5 63.281 (64.985)
Epoch: [29][13090/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 2.9007 (2.7392)	Prec@1 31.250 (34.634)	Prec@5 60.938 (64.983)
Epoch: [29][13100/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 2.9470 (2.7392)	Prec@1 25.781 (34.634)	Prec@5 59.375 (64.982)
Epoch: [29][13110/14090]	Time 0.769 (0.751)	Data 0.001 (0.001)	Loss 2.7463 (2.7391)	Prec@1 38.281 (34.635)	Prec@5 67.188 (64.983)
Epoch: [29][13120/14090]	Time 0.737 (0.751)	Data 0.001 (0.001)	Loss 3.0467 (2.7392)	Prec@1 31.250 (34.635)	Prec@5 58.594 (64.983)
Epoch: [29][13130/14090]	Time 0.774 (0.751)	Data 0.001 (0.001)	Loss 2.6895 (2.7392)	Prec@1 35.938 (34.636)	Prec@5 64.844 (64.982)
Epoch: [29][13140/14090]	Time 0.762 (0.751)	Data 0.001 (0.001)	Loss 2.7781 (2.7391)	Prec@1 31.250 (34.636)	Prec@5 67.188 (64.983)
Epoch: [29][13150/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 3.0396 (2.7392)	Prec@1 25.781 (34.635)	Prec@5 57.812 (64.981)
Epoch: [29][13160/14090]	Time 0.768 (0.751)	Data 0.001 (0.001)	Loss 2.9879 (2.7392)	Prec@1 31.250 (34.634)	Prec@5 57.812 (64.981)
Epoch: [29][13170/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 2.8176 (2.7392)	Prec@1 37.500 (34.636)	Prec@5 67.969 (64.980)
Epoch: [29][13180/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 2.5369 (2.7391)	Prec@1 38.281 (34.637)	Prec@5 71.094 (64.982)
Epoch: [29][13190/14090]	Time 0.760 (0.751)	Data 0.001 (0.001)	Loss 2.9757 (2.7392)	Prec@1 27.344 (34.636)	Prec@5 63.281 (64.982)
Epoch: [29][13200/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 2.8222 (2.7391)	Prec@1 33.594 (34.637)	Prec@5 60.156 (64.981)
Epoch: [29][13210/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 2.7265 (2.7391)	Prec@1 32.031 (34.636)	Prec@5 65.625 (64.980)
Epoch: [29][13220/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 2.7473 (2.7392)	Prec@1 35.938 (34.636)	Prec@5 64.062 (64.980)
Epoch: [29][13230/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 2.6789 (2.7392)	Prec@1 40.625 (34.634)	Prec@5 60.156 (64.978)
Epoch: [29][13240/14090]	Time 0.729 (0.751)	Data 0.001 (0.001)	Loss 2.9270 (2.7392)	Prec@1 30.469 (34.635)	Prec@5 63.281 (64.978)
Epoch: [29][13250/14090]	Time 0.744 (0.751)	Data 0.003 (0.001)	Loss 2.5235 (2.7392)	Prec@1 35.938 (34.635)	Prec@5 71.094 (64.978)
Epoch: [29][13260/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 3.2024 (2.7392)	Prec@1 26.562 (34.635)	Prec@5 54.688 (64.977)
Epoch: [29][13270/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 2.6094 (2.7392)	Prec@1 35.156 (34.634)	Prec@5 62.500 (64.977)
Epoch: [29][13280/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 2.7050 (2.7393)	Prec@1 36.719 (34.634)	Prec@5 64.844 (64.977)
Epoch: [29][13290/14090]	Time 0.770 (0.751)	Data 0.001 (0.001)	Loss 2.8228 (2.7392)	Prec@1 32.031 (34.635)	Prec@5 60.938 (64.977)
Epoch: [29][13300/14090]	Time 0.729 (0.751)	Data 0.001 (0.001)	Loss 2.7827 (2.7393)	Prec@1 25.000 (34.633)	Prec@5 62.500 (64.976)
Epoch: [29][13310/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 2.8180 (2.7393)	Prec@1 27.344 (34.632)	Prec@5 63.281 (64.975)
Epoch: [29][13320/14090]	Time 0.733 (0.751)	Data 0.001 (0.001)	Loss 2.8768 (2.7393)	Prec@1 35.156 (34.632)	Prec@5 59.375 (64.974)
Epoch: [29][13330/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 2.6817 (2.7393)	Prec@1 35.938 (34.632)	Prec@5 65.625 (64.974)
Epoch: [29][13340/14090]	Time 0.727 (0.751)	Data 0.001 (0.001)	Loss 2.7801 (2.7393)	Prec@1 34.375 (34.633)	Prec@5 59.375 (64.975)
Epoch: [29][13350/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 2.7949 (2.7393)	Prec@1 32.812 (34.632)	Prec@5 64.844 (64.975)
Epoch: [29][13360/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 2.8859 (2.7393)	Prec@1 32.812 (34.632)	Prec@5 63.281 (64.974)
Epoch: [29][13370/14090]	Time 0.728 (0.751)	Data 0.001 (0.001)	Loss 2.7991 (2.7394)	Prec@1 36.719 (34.631)	Prec@5 64.844 (64.973)
Epoch: [29][13380/14090]	Time 0.743 (0.751)	Data 0.001 (0.001)	Loss 2.8503 (2.7394)	Prec@1 35.156 (34.629)	Prec@5 60.156 (64.971)
Epoch: [29][13390/14090]	Time 0.725 (0.751)	Data 0.001 (0.001)	Loss 2.7048 (2.7394)	Prec@1 33.594 (34.629)	Prec@5 68.750 (64.972)
Epoch: [29][13400/14090]	Time 0.785 (0.751)	Data 0.001 (0.001)	Loss 2.7263 (2.7394)	Prec@1 39.844 (34.629)	Prec@5 63.281 (64.971)
Epoch: [29][13410/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 2.8744 (2.7394)	Prec@1 34.375 (34.628)	Prec@5 64.844 (64.971)
Epoch: [29][13420/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 2.5196 (2.7394)	Prec@1 31.250 (34.628)	Prec@5 71.875 (64.973)
Epoch: [29][13430/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 3.0233 (2.7394)	Prec@1 27.344 (34.627)	Prec@5 60.938 (64.973)
Epoch: [29][13440/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 2.8333 (2.7395)	Prec@1 35.156 (34.627)	Prec@5 57.812 (64.972)
Epoch: [29][13450/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 2.8161 (2.7395)	Prec@1 32.812 (34.627)	Prec@5 64.062 (64.971)
Epoch: [29][13460/14090]	Time 0.773 (0.751)	Data 0.002 (0.001)	Loss 3.0968 (2.7396)	Prec@1 26.562 (34.625)	Prec@5 64.062 (64.971)
Epoch: [29][13470/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 2.6220 (2.7396)	Prec@1 36.719 (34.625)	Prec@5 63.281 (64.971)
Epoch: [29][13480/14090]	Time 0.775 (0.751)	Data 0.001 (0.001)	Loss 2.4878 (2.7396)	Prec@1 39.844 (34.624)	Prec@5 74.219 (64.970)
Epoch: [29][13490/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 2.5937 (2.7397)	Prec@1 39.844 (34.626)	Prec@5 67.188 (64.969)
Epoch: [29][13500/14090]	Time 0.727 (0.751)	Data 0.001 (0.001)	Loss 2.6872 (2.7397)	Prec@1 35.156 (34.625)	Prec@5 68.750 (64.970)
Epoch: [29][13510/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 2.6979 (2.7397)	Prec@1 32.812 (34.623)	Prec@5 72.656 (64.969)
Epoch: [29][13520/14090]	Time 0.801 (0.751)	Data 0.001 (0.001)	Loss 2.8421 (2.7397)	Prec@1 31.250 (34.623)	Prec@5 64.844 (64.969)
Epoch: [29][13530/14090]	Time 0.780 (0.751)	Data 0.001 (0.001)	Loss 2.8341 (2.7397)	Prec@1 39.062 (34.623)	Prec@5 61.719 (64.969)
Epoch: [29][13540/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 2.7596 (2.7397)	Prec@1 32.812 (34.623)	Prec@5 67.188 (64.968)
Epoch: [29][13550/14090]	Time 0.757 (0.751)	Data 0.001 (0.001)	Loss 2.9520 (2.7398)	Prec@1 32.812 (34.623)	Prec@5 64.844 (64.967)
Epoch: [29][13560/14090]	Time 0.727 (0.751)	Data 0.001 (0.001)	Loss 2.4510 (2.7398)	Prec@1 43.750 (34.624)	Prec@5 71.094 (64.965)
Epoch: [29][13570/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 3.0570 (2.7398)	Prec@1 25.000 (34.622)	Prec@5 53.125 (64.964)
Epoch: [29][13580/14090]	Time 0.741 (0.751)	Data 0.001 (0.001)	Loss 2.6781 (2.7398)	Prec@1 37.500 (34.623)	Prec@5 64.062 (64.965)
Epoch: [29][13590/14090]	Time 0.762 (0.751)	Data 0.001 (0.001)	Loss 3.1559 (2.7399)	Prec@1 35.156 (34.622)	Prec@5 61.719 (64.964)
Epoch: [29][13600/14090]	Time 0.748 (0.751)	Data 0.004 (0.001)	Loss 2.7575 (2.7399)	Prec@1 42.188 (34.623)	Prec@5 67.188 (64.965)
Epoch: [29][13610/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 2.5875 (2.7399)	Prec@1 40.625 (34.624)	Prec@5 65.625 (64.965)
Epoch: [29][13620/14090]	Time 0.722 (0.751)	Data 0.001 (0.001)	Loss 2.5102 (2.7398)	Prec@1 37.500 (34.625)	Prec@5 70.312 (64.966)
Epoch: [29][13630/14090]	Time 0.718 (0.751)	Data 0.001 (0.001)	Loss 2.8154 (2.7398)	Prec@1 33.594 (34.626)	Prec@5 63.281 (64.967)
Epoch: [29][13640/14090]	Time 0.741 (0.751)	Data 0.001 (0.001)	Loss 2.6840 (2.7397)	Prec@1 35.156 (34.626)	Prec@5 67.969 (64.969)
Epoch: [29][13650/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 2.4924 (2.7397)	Prec@1 38.281 (34.625)	Prec@5 69.531 (64.969)
Epoch: [29][13660/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 2.6994 (2.7398)	Prec@1 39.844 (34.624)	Prec@5 63.281 (64.966)
Epoch: [29][13670/14090]	Time 0.731 (0.751)	Data 0.001 (0.001)	Loss 2.6208 (2.7399)	Prec@1 41.406 (34.625)	Prec@5 67.188 (64.966)
Epoch: [29][13680/14090]	Time 0.761 (0.751)	Data 0.001 (0.001)	Loss 2.8949 (2.7398)	Prec@1 31.250 (34.625)	Prec@5 63.281 (64.966)
Epoch: [29][13690/14090]	Time 0.761 (0.751)	Data 0.001 (0.001)	Loss 2.8691 (2.7398)	Prec@1 29.688 (34.625)	Prec@5 58.594 (64.966)
Epoch: [29][13700/14090]	Time 0.725 (0.751)	Data 0.001 (0.001)	Loss 2.5800 (2.7399)	Prec@1 37.500 (34.624)	Prec@5 67.969 (64.965)
Epoch: [29][13710/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 3.0305 (2.7399)	Prec@1 27.344 (34.625)	Prec@5 60.938 (64.964)
Epoch: [29][13720/14090]	Time 0.771 (0.751)	Data 0.001 (0.001)	Loss 2.6902 (2.7398)	Prec@1 35.938 (34.626)	Prec@5 64.844 (64.965)
Epoch: [29][13730/14090]	Time 0.724 (0.751)	Data 0.001 (0.001)	Loss 2.7073 (2.7399)	Prec@1 33.594 (34.626)	Prec@5 67.188 (64.964)
Epoch: [29][13740/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 2.8316 (2.7399)	Prec@1 34.375 (34.624)	Prec@5 60.938 (64.964)
Epoch: [29][13750/14090]	Time 0.737 (0.751)	Data 0.001 (0.001)	Loss 3.0215 (2.7399)	Prec@1 28.906 (34.624)	Prec@5 61.719 (64.965)
Epoch: [29][13760/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 2.4699 (2.7398)	Prec@1 41.406 (34.625)	Prec@5 69.531 (64.966)
Epoch: [29][13770/14090]	Time 0.763 (0.751)	Data 0.001 (0.001)	Loss 2.8526 (2.7399)	Prec@1 32.812 (34.625)	Prec@5 60.938 (64.966)
Epoch: [29][13780/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 2.5571 (2.7398)	Prec@1 42.188 (34.627)	Prec@5 66.406 (64.966)
Epoch: [29][13790/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 2.6997 (2.7399)	Prec@1 36.719 (34.627)	Prec@5 66.406 (64.966)
Epoch: [29][13800/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 2.5050 (2.7398)	Prec@1 39.062 (34.628)	Prec@5 68.750 (64.966)
Epoch: [29][13810/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 2.6063 (2.7399)	Prec@1 39.062 (34.629)	Prec@5 66.406 (64.966)
Epoch: [29][13820/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 2.7707 (2.7399)	Prec@1 32.031 (34.628)	Prec@5 65.625 (64.965)
Epoch: [29][13830/14090]	Time 0.776 (0.751)	Data 0.001 (0.001)	Loss 3.0253 (2.7399)	Prec@1 27.344 (34.628)	Prec@5 56.250 (64.965)
Epoch: [29][13840/14090]	Time 0.725 (0.751)	Data 0.002 (0.001)	Loss 2.7154 (2.7399)	Prec@1 37.500 (34.628)	Prec@5 66.406 (64.966)
Epoch: [29][13850/14090]	Time 0.783 (0.751)	Data 0.001 (0.001)	Loss 2.7241 (2.7398)	Prec@1 32.031 (34.628)	Prec@5 66.406 (64.967)
Epoch: [29][13860/14090]	Time 0.739 (0.751)	Data 0.001 (0.001)	Loss 2.6622 (2.7399)	Prec@1 42.188 (34.628)	Prec@5 68.750 (64.966)
Epoch: [29][13870/14090]	Time 0.733 (0.751)	Data 0.001 (0.001)	Loss 2.5736 (2.7399)	Prec@1 39.844 (34.627)	Prec@5 73.438 (64.967)
Epoch: [29][13880/14090]	Time 0.725 (0.751)	Data 0.001 (0.001)	Loss 2.8787 (2.7399)	Prec@1 32.031 (34.627)	Prec@5 61.719 (64.966)
Epoch: [29][13890/14090]	Time 0.742 (0.751)	Data 0.001 (0.001)	Loss 2.9597 (2.7399)	Prec@1 33.594 (34.626)	Prec@5 62.500 (64.965)
Epoch: [29][13900/14090]	Time 0.724 (0.751)	Data 0.001 (0.001)	Loss 2.5943 (2.7399)	Prec@1 32.812 (34.625)	Prec@5 69.531 (64.965)
Epoch: [29][13910/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 2.8976 (2.7399)	Prec@1 32.812 (34.625)	Prec@5 60.156 (64.965)
Epoch: [29][13920/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 2.6500 (2.7399)	Prec@1 34.375 (34.625)	Prec@5 69.531 (64.967)
Epoch: [29][13930/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 2.8420 (2.7398)	Prec@1 34.375 (34.625)	Prec@5 64.844 (64.967)
Epoch: [29][13940/14090]	Time 0.768 (0.751)	Data 0.001 (0.001)	Loss 2.8076 (2.7398)	Prec@1 33.594 (34.626)	Prec@5 60.938 (64.968)
Epoch: [29][13950/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 2.4389 (2.7397)	Prec@1 39.844 (34.627)	Prec@5 69.531 (64.970)
Epoch: [29][13960/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 2.8446 (2.7398)	Prec@1 32.812 (34.626)	Prec@5 63.281 (64.969)
Epoch: [29][13970/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 2.5698 (2.7397)	Prec@1 38.281 (34.626)	Prec@5 71.094 (64.970)
Epoch: [29][13980/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 2.4230 (2.7397)	Prec@1 38.281 (34.626)	Prec@5 71.094 (64.971)
Epoch: [29][13990/14090]	Time 0.740 (0.751)	Data 0.001 (0.001)	Loss 2.6931 (2.7397)	Prec@1 42.969 (34.625)	Prec@5 67.188 (64.972)
Epoch: [29][14000/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 2.5312 (2.7398)	Prec@1 41.406 (34.625)	Prec@5 67.969 (64.971)
Epoch: [29][14010/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 2.5630 (2.7397)	Prec@1 39.062 (34.626)	Prec@5 66.406 (64.972)
Epoch: [29][14020/14090]	Time 0.757 (0.751)	Data 0.001 (0.001)	Loss 2.4953 (2.7397)	Prec@1 39.844 (34.627)	Prec@5 73.438 (64.973)
Epoch: [29][14030/14090]	Time 0.733 (0.751)	Data 0.001 (0.001)	Loss 2.8885 (2.7397)	Prec@1 32.031 (34.628)	Prec@5 67.188 (64.972)
Epoch: [29][14040/14090]	Time 0.764 (0.751)	Data 0.001 (0.001)	Loss 2.7976 (2.7397)	Prec@1 32.812 (34.629)	Prec@5 67.188 (64.974)
Epoch: [29][14050/14090]	Time 0.763 (0.751)	Data 0.001 (0.001)	Loss 2.9276 (2.7398)	Prec@1 27.344 (34.628)	Prec@5 60.156 (64.972)
Epoch: [29][14060/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 2.8334 (2.7398)	Prec@1 29.688 (34.627)	Prec@5 64.844 (64.973)
Epoch: [29][14070/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 2.6108 (2.7398)	Prec@1 35.156 (34.626)	Prec@5 65.625 (64.972)
Epoch: [29][14080/14090]	Time 0.779 (0.751)	Data 0.000 (0.001)	Loss 2.7221 (2.7398)	Prec@1 34.375 (34.626)	Prec@5 64.062 (64.972)
Test: [0/286]	Time 4.009 (4.009)	Loss 1.3265 (1.3265)	Prec@1 60.938 (60.938)	Prec@5 92.188 (92.188)
Test: [10/286]	Time 0.271 (0.638)	Loss 2.6788 (2.4914)	Prec@1 37.500 (39.631)	Prec@5 71.094 (73.153)
Test: [20/286]	Time 0.239 (0.489)	Loss 2.1999 (2.3491)	Prec@1 43.750 (41.629)	Prec@5 81.250 (76.079)
Test: [30/286]	Time 0.232 (0.439)	Loss 3.3641 (2.3555)	Prec@1 21.094 (42.061)	Prec@5 53.125 (74.219)
Test: [40/286]	Time 0.724 (0.428)	Loss 2.4200 (2.4163)	Prec@1 31.250 (40.758)	Prec@5 78.906 (72.504)
Test: [50/286]	Time 0.487 (0.413)	Loss 1.1731 (2.3901)	Prec@1 72.656 (41.238)	Prec@5 84.375 (72.672)
Test: [60/286]	Time 0.231 (0.396)	Loss 2.6741 (2.4407)	Prec@1 35.938 (40.984)	Prec@5 70.312 (71.247)
Test: [70/286]	Time 0.229 (0.384)	Loss 1.9895 (2.4445)	Prec@1 48.438 (40.658)	Prec@5 78.125 (71.017)
Test: [80/286]	Time 0.389 (0.385)	Loss 2.4021 (2.4600)	Prec@1 40.625 (40.114)	Prec@5 72.656 (70.689)
Test: [90/286]	Time 0.310 (0.379)	Loss 2.3349 (2.4700)	Prec@1 36.719 (39.629)	Prec@5 73.438 (70.639)
Test: [100/286]	Time 0.456 (0.376)	Loss 2.9084 (2.4810)	Prec@1 22.656 (38.993)	Prec@5 64.062 (70.730)
Test: [110/286]	Time 0.721 (0.379)	Loss 2.9332 (2.4927)	Prec@1 31.250 (38.506)	Prec@5 62.500 (70.664)
Test: [120/286]	Time 0.228 (0.376)	Loss 2.4726 (2.4750)	Prec@1 40.625 (38.714)	Prec@5 68.750 (71.152)
Test: [130/286]	Time 0.224 (0.371)	Loss 1.5612 (2.4748)	Prec@1 59.375 (38.693)	Prec@5 89.844 (71.213)
Test: [140/286]	Time 0.603 (0.372)	Loss 3.5054 (2.4599)	Prec@1 21.094 (38.979)	Prec@5 54.688 (71.548)
Test: [150/286]	Time 0.371 (0.371)	Loss 3.4867 (2.4721)	Prec@1 15.625 (38.462)	Prec@5 55.469 (71.399)
Test: [160/286]	Time 0.347 (0.370)	Loss 3.7035 (2.4777)	Prec@1 13.281 (38.393)	Prec@5 41.406 (71.332)
Test: [170/286]	Time 0.359 (0.368)	Loss 3.6573 (2.4758)	Prec@1 14.062 (38.427)	Prec@5 46.875 (71.345)
Test: [180/286]	Time 0.813 (0.369)	Loss 2.5428 (2.4807)	Prec@1 43.750 (38.337)	Prec@5 69.531 (71.301)
Test: [190/286]	Time 0.238 (0.366)	Loss 3.3310 (2.4829)	Prec@1 10.938 (38.220)	Prec@5 64.844 (71.331)
Test: [200/286]	Time 0.455 (0.365)	Loss 1.9953 (2.4628)	Prec@1 47.656 (38.604)	Prec@5 84.375 (71.681)
Test: [210/286]	Time 0.554 (0.365)	Loss 1.8144 (2.4754)	Prec@1 59.375 (38.329)	Prec@5 82.812 (71.464)
Test: [220/286]	Time 0.296 (0.364)	Loss 3.1944 (2.4833)	Prec@1 22.656 (38.320)	Prec@5 61.719 (71.267)
Test: [230/286]	Time 0.293 (0.363)	Loss 1.9507 (2.4911)	Prec@1 53.125 (38.271)	Prec@5 75.781 (70.982)
Test: [240/286]	Time 0.265 (0.363)	Loss 2.2175 (2.4976)	Prec@1 50.000 (38.178)	Prec@5 79.688 (70.899)
Test: [250/286]	Time 0.490 (0.364)	Loss 2.0744 (2.4831)	Prec@1 44.531 (38.452)	Prec@5 79.688 (71.252)
Test: [260/286]	Time 0.235 (0.362)	Loss 1.8701 (2.4675)	Prec@1 55.469 (38.877)	Prec@5 80.469 (71.558)
Test: [270/286]	Time 0.315 (0.363)	Loss 2.4771 (2.4595)	Prec@1 42.188 (39.094)	Prec@5 75.781 (71.679)
Test: [280/286]	Time 0.280 (0.362)	Loss 3.0293 (2.4495)	Prec@1 35.938 (39.438)	Prec@5 64.062 (71.805)
 * Prec@1 39.617 Prec@5 71.822
Epoch: [30][0/14090]	Time 5.337 (5.337)	Data 4.562 (4.562)	Loss 2.7837 (2.7837)	Prec@1 29.688 (29.688)	Prec@5 69.531 (69.531)
Epoch: [30][10/14090]	Time 0.763 (1.149)	Data 0.002 (0.416)	Loss 2.7318 (2.6936)	Prec@1 35.938 (34.020)	Prec@5 67.188 (65.412)
Epoch: [30][20/14090]	Time 0.738 (0.954)	Data 0.001 (0.218)	Loss 2.6997 (2.6893)	Prec@1 34.375 (34.561)	Prec@5 64.844 (65.253)
Epoch: [30][30/14090]	Time 0.736 (0.884)	Data 0.001 (0.148)	Loss 2.4772 (2.6635)	Prec@1 41.406 (35.559)	Prec@5 67.188 (65.902)
Epoch: [30][40/14090]	Time 0.721 (0.848)	Data 0.001 (0.112)	Loss 2.7687 (2.6566)	Prec@1 36.719 (35.899)	Prec@5 63.281 (66.463)
Epoch: [30][50/14090]	Time 0.751 (0.827)	Data 0.001 (0.090)	Loss 2.9378 (2.6495)	Prec@1 32.031 (36.121)	Prec@5 55.469 (66.422)
Epoch: [30][60/14090]	Time 0.766 (0.814)	Data 0.001 (0.076)	Loss 2.4293 (2.6351)	Prec@1 37.500 (36.206)	Prec@5 72.656 (66.778)
Epoch: [30][70/14090]	Time 0.748 (0.804)	Data 0.001 (0.065)	Loss 2.8027 (2.6279)	Prec@1 35.156 (36.488)	Prec@5 58.594 (67.022)
Epoch: [30][80/14090]	Time 0.776 (0.798)	Data 0.001 (0.057)	Loss 2.3298 (2.6088)	Prec@1 45.312 (36.671)	Prec@5 73.438 (67.583)
Epoch: [30][90/14090]	Time 0.778 (0.793)	Data 0.001 (0.051)	Loss 2.2110 (2.6002)	Prec@1 45.312 (37.122)	Prec@5 77.344 (67.694)
Epoch: [30][100/14090]	Time 0.750 (0.789)	Data 0.001 (0.046)	Loss 2.5853 (2.5950)	Prec@1 36.719 (37.314)	Prec@5 67.969 (67.876)
Epoch: [30][110/14090]	Time 0.749 (0.786)	Data 0.002 (0.042)	Loss 2.5193 (2.5866)	Prec@1 39.062 (37.556)	Prec@5 69.531 (67.934)
Epoch: [30][120/14090]	Time 0.744 (0.783)	Data 0.001 (0.039)	Loss 2.6887 (2.5831)	Prec@1 42.188 (37.829)	Prec@5 71.875 (68.066)
Epoch: [30][130/14090]	Time 0.731 (0.781)	Data 0.001 (0.036)	Loss 2.7283 (2.5789)	Prec@1 38.281 (37.822)	Prec@5 65.625 (68.052)
Epoch: [30][140/14090]	Time 0.754 (0.778)	Data 0.001 (0.033)	Loss 2.3593 (2.5685)	Prec@1 42.188 (38.098)	Prec@5 75.000 (68.251)
Epoch: [30][150/14090]	Time 0.747 (0.776)	Data 0.001 (0.031)	Loss 2.8754 (2.5667)	Prec@1 37.500 (38.214)	Prec@5 62.500 (68.326)
Epoch: [30][160/14090]	Time 0.749 (0.775)	Data 0.001 (0.029)	Loss 2.7986 (2.5588)	Prec@1 25.781 (38.296)	Prec@5 65.625 (68.517)
Epoch: [30][170/14090]	Time 0.732 (0.774)	Data 0.001 (0.028)	Loss 2.6431 (2.5562)	Prec@1 45.312 (38.363)	Prec@5 65.625 (68.531)
Epoch: [30][180/14090]	Time 0.758 (0.772)	Data 0.003 (0.026)	Loss 2.4093 (2.5537)	Prec@1 44.531 (38.402)	Prec@5 71.094 (68.629)
Epoch: [30][190/14090]	Time 0.776 (0.772)	Data 0.002 (0.025)	Loss 2.4724 (2.5512)	Prec@1 41.406 (38.375)	Prec@5 66.406 (68.668)
Epoch: [30][200/14090]	Time 0.757 (0.770)	Data 0.001 (0.024)	Loss 2.5000 (2.5520)	Prec@1 39.062 (38.398)	Prec@5 73.438 (68.618)
Epoch: [30][210/14090]	Time 0.783 (0.769)	Data 0.001 (0.023)	Loss 2.2290 (2.5494)	Prec@1 46.875 (38.444)	Prec@5 74.219 (68.628)
Epoch: [30][220/14090]	Time 0.762 (0.769)	Data 0.001 (0.022)	Loss 2.8507 (2.5498)	Prec@1 33.594 (38.423)	Prec@5 63.281 (68.602)
Epoch: [30][230/14090]	Time 0.727 (0.768)	Data 0.002 (0.021)	Loss 2.4233 (2.5458)	Prec@1 37.500 (38.494)	Prec@5 73.438 (68.720)
Epoch: [30][240/14090]	Time 0.735 (0.767)	Data 0.001 (0.020)	Loss 2.3093 (2.5384)	Prec@1 48.438 (38.673)	Prec@5 72.656 (68.857)
Epoch: [30][250/14090]	Time 0.741 (0.767)	Data 0.002 (0.019)	Loss 2.6503 (2.5370)	Prec@1 36.719 (38.717)	Prec@5 70.312 (68.899)
Epoch: [30][260/14090]	Time 0.748 (0.766)	Data 0.001 (0.019)	Loss 2.5904 (2.5394)	Prec@1 34.375 (38.706)	Prec@5 64.062 (68.831)
Epoch: [30][270/14090]	Time 0.736 (0.766)	Data 0.001 (0.018)	Loss 2.6897 (2.5365)	Prec@1 32.031 (38.719)	Prec@5 68.750 (68.914)
Epoch: [30][280/14090]	Time 0.759 (0.765)	Data 0.001 (0.017)	Loss 2.4622 (2.5326)	Prec@1 39.844 (38.757)	Prec@5 71.094 (68.992)
Epoch: [30][290/14090]	Time 0.765 (0.765)	Data 0.002 (0.017)	Loss 2.6680 (2.5295)	Prec@1 35.156 (38.786)	Prec@5 69.531 (69.104)
Epoch: [30][300/14090]	Time 0.761 (0.764)	Data 0.001 (0.016)	Loss 2.8509 (2.5256)	Prec@1 31.250 (38.844)	Prec@5 63.281 (69.238)
Epoch: [30][310/14090]	Time 0.775 (0.764)	Data 0.002 (0.016)	Loss 2.5467 (2.5252)	Prec@1 39.062 (38.839)	Prec@5 71.875 (69.283)
Epoch: [30][320/14090]	Time 0.755 (0.763)	Data 0.003 (0.015)	Loss 2.4695 (2.5210)	Prec@1 42.188 (38.980)	Prec@5 71.094 (69.329)
Epoch: [30][330/14090]	Time 0.739 (0.763)	Data 0.002 (0.015)	Loss 2.1618 (2.5169)	Prec@1 42.969 (39.048)	Prec@5 75.000 (69.394)
Epoch: [30][340/14090]	Time 0.754 (0.763)	Data 0.001 (0.014)	Loss 2.2275 (2.5150)	Prec@1 43.750 (39.001)	Prec@5 76.562 (69.472)
Epoch: [30][350/14090]	Time 0.742 (0.762)	Data 0.001 (0.014)	Loss 2.4591 (2.5119)	Prec@1 40.625 (39.071)	Prec@5 68.750 (69.500)
Epoch: [30][360/14090]	Time 0.722 (0.762)	Data 0.001 (0.014)	Loss 2.3198 (2.5113)	Prec@1 42.969 (39.060)	Prec@5 74.219 (69.492)
Epoch: [30][370/14090]	Time 0.737 (0.761)	Data 0.001 (0.013)	Loss 2.2413 (2.5102)	Prec@1 47.656 (39.103)	Prec@5 75.000 (69.519)
Epoch: [30][380/14090]	Time 0.726 (0.761)	Data 0.001 (0.013)	Loss 2.5035 (2.5080)	Prec@1 37.500 (39.116)	Prec@5 75.000 (69.537)
Epoch: [30][390/14090]	Time 0.763 (0.761)	Data 0.002 (0.013)	Loss 2.6590 (2.5056)	Prec@1 36.719 (39.122)	Prec@5 61.719 (69.631)
Epoch: [30][400/14090]	Time 0.739 (0.760)	Data 0.001 (0.012)	Loss 2.4487 (2.5041)	Prec@1 39.844 (39.146)	Prec@5 64.062 (69.617)
Epoch: [30][410/14090]	Time 0.735 (0.760)	Data 0.001 (0.012)	Loss 1.9871 (2.5026)	Prec@1 49.219 (39.192)	Prec@5 81.250 (69.628)
Epoch: [30][420/14090]	Time 0.757 (0.760)	Data 0.001 (0.012)	Loss 2.5102 (2.5009)	Prec@1 35.938 (39.194)	Prec@5 65.625 (69.670)
Epoch: [30][430/14090]	Time 0.764 (0.759)	Data 0.001 (0.012)	Loss 2.1639 (2.4979)	Prec@1 48.438 (39.240)	Prec@5 72.656 (69.745)
Epoch: [30][440/14090]	Time 0.746 (0.759)	Data 0.001 (0.011)	Loss 2.6028 (2.4966)	Prec@1 36.719 (39.240)	Prec@5 65.625 (69.762)
Epoch: [30][450/14090]	Time 0.753 (0.759)	Data 0.001 (0.011)	Loss 2.5227 (2.4961)	Prec@1 36.719 (39.232)	Prec@5 67.969 (69.789)
Epoch: [30][460/14090]	Time 0.731 (0.759)	Data 0.002 (0.011)	Loss 2.8315 (2.4945)	Prec@1 34.375 (39.246)	Prec@5 64.062 (69.784)
Epoch: [30][470/14090]	Time 0.731 (0.758)	Data 0.001 (0.011)	Loss 2.1410 (2.4934)	Prec@1 47.656 (39.278)	Prec@5 75.781 (69.818)
Epoch: [30][480/14090]	Time 0.763 (0.758)	Data 0.001 (0.011)	Loss 2.6350 (2.4927)	Prec@1 38.281 (39.288)	Prec@5 68.750 (69.837)
Epoch: [30][490/14090]	Time 0.735 (0.758)	Data 0.001 (0.010)	Loss 2.4720 (2.4931)	Prec@1 35.938 (39.277)	Prec@5 66.406 (69.776)
Epoch: [30][500/14090]	Time 0.768 (0.758)	Data 0.001 (0.010)	Loss 2.5223 (2.4928)	Prec@1 39.062 (39.279)	Prec@5 68.750 (69.767)
Epoch: [30][510/14090]	Time 0.737 (0.758)	Data 0.001 (0.010)	Loss 2.6363 (2.4911)	Prec@1 32.812 (39.283)	Prec@5 66.406 (69.797)
Epoch: [30][520/14090]	Time 0.767 (0.757)	Data 0.001 (0.010)	Loss 2.3709 (2.4882)	Prec@1 38.281 (39.352)	Prec@5 73.438 (69.881)
Epoch: [30][530/14090]	Time 0.778 (0.757)	Data 0.002 (0.010)	Loss 2.5359 (2.4869)	Prec@1 38.281 (39.367)	Prec@5 67.969 (69.884)
Epoch: [30][540/14090]	Time 0.747 (0.757)	Data 0.001 (0.009)	Loss 2.3989 (2.4861)	Prec@1 40.625 (39.363)	Prec@5 71.875 (69.905)
Epoch: [30][550/14090]	Time 0.749 (0.757)	Data 0.001 (0.009)	Loss 2.5477 (2.4854)	Prec@1 40.625 (39.387)	Prec@5 70.312 (69.937)
Epoch: [30][560/14090]	Time 0.737 (0.757)	Data 0.001 (0.009)	Loss 2.4604 (2.4838)	Prec@1 35.938 (39.408)	Prec@5 67.969 (69.966)
Epoch: [30][570/14090]	Time 0.733 (0.757)	Data 0.001 (0.009)	Loss 2.5108 (2.4820)	Prec@1 44.531 (39.443)	Prec@5 69.531 (70.005)
Epoch: [30][580/14090]	Time 0.765 (0.756)	Data 0.001 (0.009)	Loss 2.5101 (2.4808)	Prec@1 39.062 (39.446)	Prec@5 70.312 (70.009)
Epoch: [30][590/14090]	Time 0.765 (0.756)	Data 0.001 (0.009)	Loss 2.4139 (2.4800)	Prec@1 40.625 (39.470)	Prec@5 67.969 (69.997)
Epoch: [30][600/14090]	Time 0.733 (0.756)	Data 0.002 (0.009)	Loss 2.4635 (2.4799)	Prec@1 40.625 (39.438)	Prec@5 66.406 (69.994)
Epoch: [30][610/14090]	Time 0.746 (0.756)	Data 0.001 (0.008)	Loss 2.5376 (2.4786)	Prec@1 35.156 (39.464)	Prec@5 73.438 (70.016)
Epoch: [30][620/14090]	Time 0.739 (0.756)	Data 0.001 (0.008)	Loss 2.2327 (2.4790)	Prec@1 41.406 (39.452)	Prec@5 75.000 (70.022)
Epoch: [30][630/14090]	Time 0.725 (0.756)	Data 0.001 (0.008)	Loss 2.6013 (2.4800)	Prec@1 40.625 (39.438)	Prec@5 68.750 (70.014)
Epoch: [30][640/14090]	Time 0.755 (0.756)	Data 0.001 (0.008)	Loss 2.6761 (2.4809)	Prec@1 32.031 (39.410)	Prec@5 67.188 (69.986)
Epoch: [30][650/14090]	Time 0.781 (0.756)	Data 0.001 (0.008)	Loss 2.5289 (2.4798)	Prec@1 38.281 (39.443)	Prec@5 64.062 (69.999)
Epoch: [30][660/14090]	Time 0.734 (0.756)	Data 0.001 (0.008)	Loss 2.3280 (2.4779)	Prec@1 45.312 (39.490)	Prec@5 69.531 (70.029)
Epoch: [30][670/14090]	Time 0.738 (0.756)	Data 0.002 (0.008)	Loss 2.5470 (2.4763)	Prec@1 39.844 (39.525)	Prec@5 68.750 (70.074)
Epoch: [30][680/14090]	Time 0.730 (0.755)	Data 0.001 (0.008)	Loss 2.3540 (2.4766)	Prec@1 39.844 (39.510)	Prec@5 73.438 (70.080)
Epoch: [30][690/14090]	Time 0.748 (0.755)	Data 0.001 (0.008)	Loss 2.5504 (2.4765)	Prec@1 36.719 (39.526)	Prec@5 66.406 (70.081)
Epoch: [30][700/14090]	Time 0.741 (0.755)	Data 0.001 (0.008)	Loss 2.2848 (2.4758)	Prec@1 39.062 (39.527)	Prec@5 71.875 (70.074)
Epoch: [30][710/14090]	Time 0.758 (0.755)	Data 0.001 (0.007)	Loss 2.5010 (2.4735)	Prec@1 47.656 (39.577)	Prec@5 71.875 (70.110)
Epoch: [30][720/14090]	Time 0.760 (0.755)	Data 0.001 (0.007)	Loss 2.2770 (2.4733)	Prec@1 41.406 (39.576)	Prec@5 67.969 (70.099)
Epoch: [30][730/14090]	Time 0.784 (0.755)	Data 0.001 (0.007)	Loss 2.4861 (2.4720)	Prec@1 42.969 (39.596)	Prec@5 68.750 (70.142)
Epoch: [30][740/14090]	Time 0.725 (0.755)	Data 0.002 (0.007)	Loss 2.4587 (2.4720)	Prec@1 35.156 (39.600)	Prec@5 72.656 (70.141)
Epoch: [30][750/14090]	Time 0.761 (0.755)	Data 0.001 (0.007)	Loss 2.2356 (2.4702)	Prec@1 42.188 (39.628)	Prec@5 71.094 (70.189)
Epoch: [30][760/14090]	Time 0.736 (0.755)	Data 0.001 (0.007)	Loss 2.2288 (2.4693)	Prec@1 43.750 (39.644)	Prec@5 78.906 (70.224)
Epoch: [30][770/14090]	Time 0.734 (0.755)	Data 0.001 (0.007)	Loss 2.2106 (2.4679)	Prec@1 42.188 (39.675)	Prec@5 76.562 (70.254)
Epoch: [30][780/14090]	Time 0.739 (0.755)	Data 0.001 (0.007)	Loss 2.7390 (2.4669)	Prec@1 34.375 (39.703)	Prec@5 63.281 (70.267)
Epoch: [30][790/14090]	Time 0.782 (0.754)	Data 0.001 (0.007)	Loss 2.2767 (2.4652)	Prec@1 44.531 (39.741)	Prec@5 75.781 (70.306)
Epoch: [30][800/14090]	Time 0.738 (0.754)	Data 0.001 (0.007)	Loss 2.1681 (2.4643)	Prec@1 44.531 (39.769)	Prec@5 77.344 (70.320)
Epoch: [30][810/14090]	Time 0.752 (0.754)	Data 0.003 (0.007)	Loss 2.4144 (2.4648)	Prec@1 41.406 (39.747)	Prec@5 69.531 (70.314)
Epoch: [30][820/14090]	Time 0.763 (0.754)	Data 0.001 (0.007)	Loss 2.2028 (2.4647)	Prec@1 39.844 (39.734)	Prec@5 77.344 (70.312)
Epoch: [30][830/14090]	Time 0.749 (0.754)	Data 0.001 (0.007)	Loss 2.4259 (2.4642)	Prec@1 44.531 (39.750)	Prec@5 71.094 (70.319)
Epoch: [30][840/14090]	Time 0.744 (0.754)	Data 0.001 (0.006)	Loss 2.6636 (2.4626)	Prec@1 33.594 (39.784)	Prec@5 62.500 (70.350)
Epoch: [30][850/14090]	Time 0.750 (0.754)	Data 0.001 (0.006)	Loss 2.2853 (2.4614)	Prec@1 46.875 (39.802)	Prec@5 71.875 (70.364)
Epoch: [30][860/14090]	Time 0.734 (0.754)	Data 0.001 (0.006)	Loss 2.4963 (2.4613)	Prec@1 38.281 (39.804)	Prec@5 72.656 (70.364)
Epoch: [30][870/14090]	Time 0.734 (0.754)	Data 0.001 (0.006)	Loss 2.4395 (2.4609)	Prec@1 37.500 (39.814)	Prec@5 71.875 (70.377)
Epoch: [30][880/14090]	Time 0.756 (0.754)	Data 0.002 (0.006)	Loss 2.1793 (2.4603)	Prec@1 42.969 (39.824)	Prec@5 73.438 (70.392)
Epoch: [30][890/14090]	Time 0.777 (0.754)	Data 0.001 (0.006)	Loss 2.3779 (2.4585)	Prec@1 34.375 (39.854)	Prec@5 71.094 (70.424)
Epoch: [30][900/14090]	Time 0.725 (0.754)	Data 0.001 (0.006)	Loss 2.4863 (2.4571)	Prec@1 42.969 (39.897)	Prec@5 68.750 (70.444)
Epoch: [30][910/14090]	Time 0.748 (0.754)	Data 0.001 (0.006)	Loss 2.4166 (2.4569)	Prec@1 45.312 (39.892)	Prec@5 67.969 (70.455)
Epoch: [30][920/14090]	Time 0.760 (0.754)	Data 0.001 (0.006)	Loss 2.3877 (2.4554)	Prec@1 38.281 (39.902)	Prec@5 71.875 (70.487)
Epoch: [30][930/14090]	Time 0.759 (0.754)	Data 0.001 (0.006)	Loss 2.7907 (2.4554)	Prec@1 34.375 (39.902)	Prec@5 60.156 (70.472)
Epoch: [30][940/14090]	Time 0.734 (0.754)	Data 0.001 (0.006)	Loss 2.4363 (2.4553)	Prec@1 34.375 (39.889)	Prec@5 71.875 (70.481)
Epoch: [30][950/14090]	Time 0.722 (0.753)	Data 0.002 (0.006)	Loss 2.3214 (2.4559)	Prec@1 39.844 (39.876)	Prec@5 77.344 (70.481)
Epoch: [30][960/14090]	Time 0.754 (0.753)	Data 0.001 (0.006)	Loss 2.5356 (2.4553)	Prec@1 33.594 (39.891)	Prec@5 69.531 (70.483)
Epoch: [30][970/14090]	Time 0.746 (0.753)	Data 0.001 (0.006)	Loss 2.5182 (2.4553)	Prec@1 39.844 (39.889)	Prec@5 67.188 (70.473)
Epoch: [30][980/14090]	Time 0.745 (0.753)	Data 0.001 (0.006)	Loss 2.4488 (2.4548)	Prec@1 40.625 (39.903)	Prec@5 71.094 (70.478)
Epoch: [30][990/14090]	Time 0.792 (0.753)	Data 0.001 (0.006)	Loss 2.4064 (2.4541)	Prec@1 41.406 (39.930)	Prec@5 74.219 (70.499)
Epoch: [30][1000/14090]	Time 0.745 (0.753)	Data 0.001 (0.006)	Loss 2.2001 (2.4537)	Prec@1 49.219 (39.951)	Prec@5 75.000 (70.501)
Epoch: [30][1010/14090]	Time 0.769 (0.753)	Data 0.001 (0.006)	Loss 2.5024 (2.4535)	Prec@1 30.469 (39.957)	Prec@5 70.312 (70.493)
Epoch: [30][1020/14090]	Time 0.720 (0.753)	Data 0.002 (0.005)	Loss 2.3768 (2.4527)	Prec@1 41.406 (39.969)	Prec@5 70.312 (70.507)
Epoch: [30][1030/14090]	Time 0.746 (0.753)	Data 0.001 (0.005)	Loss 2.5113 (2.4522)	Prec@1 37.500 (39.979)	Prec@5 65.625 (70.508)
Epoch: [30][1040/14090]	Time 0.733 (0.753)	Data 0.001 (0.005)	Loss 2.0715 (2.4518)	Prec@1 49.219 (39.988)	Prec@5 79.688 (70.514)
Epoch: [30][1050/14090]	Time 0.757 (0.753)	Data 0.001 (0.005)	Loss 2.4737 (2.4504)	Prec@1 37.500 (40.014)	Prec@5 68.750 (70.535)
Epoch: [30][1060/14090]	Time 0.744 (0.753)	Data 0.001 (0.005)	Loss 2.2048 (2.4500)	Prec@1 40.625 (40.001)	Prec@5 75.781 (70.532)
Epoch: [30][1070/14090]	Time 0.733 (0.753)	Data 0.001 (0.005)	Loss 2.3911 (2.4491)	Prec@1 39.844 (40.035)	Prec@5 70.312 (70.539)
Epoch: [30][1080/14090]	Time 0.776 (0.753)	Data 0.001 (0.005)	Loss 2.6599 (2.4488)	Prec@1 39.844 (40.043)	Prec@5 67.188 (70.546)
Epoch: [30][1090/14090]	Time 0.753 (0.753)	Data 0.002 (0.005)	Loss 2.3026 (2.4488)	Prec@1 45.312 (40.046)	Prec@5 71.094 (70.552)
Epoch: [30][1100/14090]	Time 0.743 (0.753)	Data 0.001 (0.005)	Loss 2.3883 (2.4490)	Prec@1 40.625 (40.042)	Prec@5 76.562 (70.551)
Epoch: [30][1110/14090]	Time 0.761 (0.753)	Data 0.001 (0.005)	Loss 2.0889 (2.4485)	Prec@1 50.000 (40.049)	Prec@5 81.250 (70.566)
Epoch: [30][1120/14090]	Time 0.763 (0.753)	Data 0.001 (0.005)	Loss 2.1892 (2.4474)	Prec@1 46.094 (40.060)	Prec@5 72.656 (70.595)
Epoch: [30][1130/14090]	Time 0.730 (0.753)	Data 0.001 (0.005)	Loss 2.3419 (2.4467)	Prec@1 42.188 (40.085)	Prec@5 69.531 (70.598)
Epoch: [30][1140/14090]	Time 0.781 (0.753)	Data 0.001 (0.005)	Loss 2.6255 (2.4471)	Prec@1 36.719 (40.077)	Prec@5 71.875 (70.612)
Epoch: [30][1150/14090]	Time 0.741 (0.753)	Data 0.002 (0.005)	Loss 2.5763 (2.4468)	Prec@1 36.719 (40.087)	Prec@5 71.094 (70.613)
Epoch: [30][1160/14090]	Time 0.745 (0.753)	Data 0.002 (0.005)	Loss 2.4409 (2.4462)	Prec@1 38.281 (40.098)	Prec@5 67.969 (70.603)
Epoch: [30][1170/14090]	Time 0.738 (0.753)	Data 0.001 (0.005)	Loss 2.4768 (2.4449)	Prec@1 36.719 (40.121)	Prec@5 74.219 (70.621)
Epoch: [30][1180/14090]	Time 0.734 (0.752)	Data 0.001 (0.005)	Loss 2.6638 (2.4441)	Prec@1 39.062 (40.130)	Prec@5 66.406 (70.635)
Epoch: [30][1190/14090]	Time 0.756 (0.752)	Data 0.001 (0.005)	Loss 2.2863 (2.4438)	Prec@1 42.188 (40.136)	Prec@5 72.656 (70.637)
Epoch: [30][1200/14090]	Time 0.759 (0.753)	Data 0.001 (0.005)	Loss 2.1260 (2.4438)	Prec@1 42.188 (40.131)	Prec@5 81.250 (70.645)
Epoch: [30][1210/14090]	Time 0.787 (0.753)	Data 0.001 (0.005)	Loss 2.4032 (2.4428)	Prec@1 44.531 (40.152)	Prec@5 71.094 (70.668)
Epoch: [30][1220/14090]	Time 0.768 (0.753)	Data 0.001 (0.005)	Loss 2.3095 (2.4417)	Prec@1 50.000 (40.196)	Prec@5 74.219 (70.694)
Epoch: [30][1230/14090]	Time 0.741 (0.753)	Data 0.002 (0.005)	Loss 2.3390 (2.4409)	Prec@1 41.406 (40.209)	Prec@5 73.438 (70.714)
Epoch: [30][1240/14090]	Time 0.756 (0.753)	Data 0.001 (0.005)	Loss 2.2751 (2.4407)	Prec@1 46.094 (40.223)	Prec@5 71.875 (70.719)
Epoch: [30][1250/14090]	Time 0.777 (0.753)	Data 0.001 (0.005)	Loss 2.2968 (2.4399)	Prec@1 47.656 (40.235)	Prec@5 71.875 (70.727)
Epoch: [30][1260/14090]	Time 0.747 (0.753)	Data 0.001 (0.005)	Loss 2.4189 (2.4401)	Prec@1 40.625 (40.244)	Prec@5 68.750 (70.725)
Epoch: [30][1270/14090]	Time 0.723 (0.752)	Data 0.001 (0.005)	Loss 2.3178 (2.4387)	Prec@1 39.844 (40.279)	Prec@5 74.219 (70.750)
Epoch: [30][1280/14090]	Time 0.764 (0.752)	Data 0.001 (0.005)	Loss 2.2212 (2.4380)	Prec@1 38.281 (40.283)	Prec@5 74.219 (70.760)
Epoch: [30][1290/14090]	Time 0.745 (0.752)	Data 0.001 (0.005)	Loss 2.2837 (2.4370)	Prec@1 41.406 (40.299)	Prec@5 75.000 (70.790)
Epoch: [30][1300/14090]	Time 0.731 (0.752)	Data 0.002 (0.005)	Loss 2.3314 (2.4360)	Prec@1 42.969 (40.321)	Prec@5 73.438 (70.819)
Epoch: [30][1310/14090]	Time 0.723 (0.752)	Data 0.001 (0.004)	Loss 2.4865 (2.4352)	Prec@1 40.625 (40.341)	Prec@5 64.844 (70.826)
Epoch: [30][1320/14090]	Time 0.732 (0.752)	Data 0.001 (0.004)	Loss 2.7442 (2.4361)	Prec@1 32.812 (40.330)	Prec@5 65.625 (70.810)
Epoch: [30][1330/14090]	Time 0.776 (0.752)	Data 0.001 (0.004)	Loss 2.6509 (2.4363)	Prec@1 35.156 (40.332)	Prec@5 65.625 (70.799)
Epoch: [30][1340/14090]	Time 0.757 (0.752)	Data 0.001 (0.004)	Loss 2.0405 (2.4356)	Prec@1 42.969 (40.338)	Prec@5 79.688 (70.812)
Epoch: [30][1350/14090]	Time 0.750 (0.752)	Data 0.001 (0.004)	Loss 2.0632 (2.4349)	Prec@1 50.000 (40.345)	Prec@5 77.344 (70.822)
Epoch: [30][1360/14090]	Time 0.741 (0.752)	Data 0.001 (0.004)	Loss 2.4162 (2.4336)	Prec@1 36.719 (40.366)	Prec@5 67.969 (70.837)
Epoch: [30][1370/14090]	Time 0.752 (0.752)	Data 0.002 (0.004)	Loss 2.5033 (2.4334)	Prec@1 40.625 (40.377)	Prec@5 68.750 (70.840)
Epoch: [30][1380/14090]	Time 0.764 (0.752)	Data 0.001 (0.004)	Loss 2.2644 (2.4328)	Prec@1 42.188 (40.391)	Prec@5 69.531 (70.846)
Epoch: [30][1390/14090]	Time 0.739 (0.752)	Data 0.001 (0.004)	Loss 2.1052 (2.4316)	Prec@1 45.312 (40.419)	Prec@5 75.781 (70.873)
Epoch: [30][1400/14090]	Time 0.776 (0.752)	Data 0.001 (0.004)	Loss 2.5120 (2.4315)	Prec@1 35.938 (40.418)	Prec@5 75.781 (70.880)
Epoch: [30][1410/14090]	Time 0.735 (0.752)	Data 0.001 (0.004)	Loss 2.3951 (2.4315)	Prec@1 42.188 (40.416)	Prec@5 69.531 (70.888)
Epoch: [30][1420/14090]	Time 0.728 (0.752)	Data 0.001 (0.004)	Loss 2.4633 (2.4310)	Prec@1 34.375 (40.428)	Prec@5 75.000 (70.898)
Epoch: [30][1430/14090]	Time 0.778 (0.752)	Data 0.001 (0.004)	Loss 2.6929 (2.4303)	Prec@1 32.812 (40.435)	Prec@5 62.500 (70.906)
Epoch: [30][1440/14090]	Time 0.723 (0.752)	Data 0.002 (0.004)	Loss 2.2716 (2.4297)	Prec@1 46.094 (40.452)	Prec@5 75.000 (70.924)
Epoch: [30][1450/14090]	Time 0.744 (0.752)	Data 0.001 (0.004)	Loss 2.3500 (2.4291)	Prec@1 42.188 (40.474)	Prec@5 74.219 (70.936)
Epoch: [30][1460/14090]	Time 0.779 (0.752)	Data 0.001 (0.004)	Loss 2.3648 (2.4284)	Prec@1 40.625 (40.492)	Prec@5 69.531 (70.947)
Epoch: [30][1470/14090]	Time 0.765 (0.752)	Data 0.001 (0.004)	Loss 2.3426 (2.4279)	Prec@1 43.750 (40.503)	Prec@5 75.000 (70.949)
Epoch: [30][1480/14090]	Time 0.753 (0.752)	Data 0.001 (0.004)	Loss 2.3332 (2.4275)	Prec@1 41.406 (40.515)	Prec@5 70.312 (70.959)
Epoch: [30][1490/14090]	Time 0.738 (0.752)	Data 0.001 (0.004)	Loss 2.5220 (2.4271)	Prec@1 34.375 (40.518)	Prec@5 71.094 (70.974)
Epoch: [30][1500/14090]	Time 0.775 (0.752)	Data 0.001 (0.004)	Loss 2.3117 (2.4273)	Prec@1 47.656 (40.515)	Prec@5 68.750 (70.966)
Epoch: [30][1510/14090]	Time 0.726 (0.752)	Data 0.002 (0.004)	Loss 2.4264 (2.4272)	Prec@1 41.406 (40.524)	Prec@5 70.312 (70.960)
Epoch: [30][1520/14090]	Time 0.748 (0.752)	Data 0.001 (0.004)	Loss 2.4524 (2.4268)	Prec@1 37.500 (40.524)	Prec@5 69.531 (70.966)
Epoch: [30][1530/14090]	Time 0.756 (0.752)	Data 0.001 (0.004)	Loss 2.4684 (2.4266)	Prec@1 39.062 (40.534)	Prec@5 66.406 (70.964)
Epoch: [30][1540/14090]	Time 0.768 (0.752)	Data 0.001 (0.004)	Loss 2.5533 (2.4271)	Prec@1 39.062 (40.532)	Prec@5 62.500 (70.952)
Epoch: [30][1550/14090]	Time 0.739 (0.752)	Data 0.001 (0.004)	Loss 2.6750 (2.4269)	Prec@1 31.250 (40.542)	Prec@5 63.281 (70.956)
Epoch: [30][1560/14090]	Time 0.731 (0.752)	Data 0.001 (0.004)	Loss 2.3249 (2.4263)	Prec@1 42.969 (40.550)	Prec@5 67.969 (70.966)
Epoch: [30][1570/14090]	Time 0.753 (0.752)	Data 0.001 (0.004)	Loss 2.4813 (2.4261)	Prec@1 44.531 (40.558)	Prec@5 67.969 (70.966)
Epoch: [30][1580/14090]	Time 0.722 (0.752)	Data 0.002 (0.004)	Loss 2.5787 (2.4260)	Prec@1 35.156 (40.556)	Prec@5 68.750 (70.970)
Epoch: [30][1590/14090]	Time 0.760 (0.752)	Data 0.001 (0.004)	Loss 2.3777 (2.4251)	Prec@1 41.406 (40.572)	Prec@5 71.875 (70.978)
Epoch: [30][1600/14090]	Time 0.742 (0.752)	Data 0.001 (0.004)	Loss 2.3245 (2.4251)	Prec@1 45.312 (40.570)	Prec@5 70.312 (70.978)
Epoch: [30][1610/14090]	Time 0.746 (0.752)	Data 0.001 (0.004)	Loss 2.3854 (2.4243)	Prec@1 42.969 (40.585)	Prec@5 68.750 (70.989)
Epoch: [30][1620/14090]	Time 0.748 (0.752)	Data 0.001 (0.004)	Loss 2.2994 (2.4239)	Prec@1 45.312 (40.592)	Prec@5 73.438 (70.994)
Epoch: [30][1630/14090]	Time 0.733 (0.752)	Data 0.001 (0.004)	Loss 2.4258 (2.4237)	Prec@1 37.500 (40.593)	Prec@5 68.750 (70.991)
Epoch: [30][1640/14090]	Time 0.745 (0.752)	Data 0.001 (0.004)	Loss 1.9352 (2.4228)	Prec@1 51.562 (40.613)	Prec@5 73.438 (71.008)
Epoch: [30][1650/14090]	Time 0.770 (0.752)	Data 0.002 (0.004)	Loss 2.1997 (2.4221)	Prec@1 48.438 (40.627)	Prec@5 71.094 (71.013)
Epoch: [30][1660/14090]	Time 0.740 (0.752)	Data 0.001 (0.004)	Loss 2.0188 (2.4210)	Prec@1 49.219 (40.652)	Prec@5 75.781 (71.022)
Epoch: [30][1670/14090]	Time 0.724 (0.752)	Data 0.001 (0.004)	Loss 2.4060 (2.4206)	Prec@1 42.969 (40.658)	Prec@5 71.875 (71.035)
Epoch: [30][1680/14090]	Time 0.781 (0.752)	Data 0.001 (0.004)	Loss 2.7119 (2.4207)	Prec@1 41.406 (40.658)	Prec@5 66.406 (71.032)
Epoch: [30][1690/14090]	Time 0.768 (0.752)	Data 0.001 (0.004)	Loss 2.4454 (2.4203)	Prec@1 32.812 (40.650)	Prec@5 75.000 (71.041)
Epoch: [30][1700/14090]	Time 0.759 (0.752)	Data 0.001 (0.004)	Loss 2.0897 (2.4198)	Prec@1 49.219 (40.664)	Prec@5 76.562 (71.054)
Epoch: [30][1710/14090]	Time 0.739 (0.752)	Data 0.001 (0.004)	Loss 2.1013 (2.4192)	Prec@1 48.438 (40.683)	Prec@5 79.688 (71.069)
Epoch: [30][1720/14090]	Time 0.782 (0.752)	Data 0.004 (0.004)	Loss 2.3176 (2.4188)	Prec@1 42.188 (40.689)	Prec@5 75.000 (71.076)
Epoch: [30][1730/14090]	Time 0.755 (0.752)	Data 0.001 (0.004)	Loss 2.5155 (2.4186)	Prec@1 37.500 (40.686)	Prec@5 67.969 (71.077)
Epoch: [30][1740/14090]	Time 0.728 (0.752)	Data 0.001 (0.004)	Loss 2.1585 (2.4182)	Prec@1 40.625 (40.686)	Prec@5 80.469 (71.081)
Epoch: [30][1750/14090]	Time 0.737 (0.752)	Data 0.001 (0.004)	Loss 2.0913 (2.4175)	Prec@1 50.000 (40.705)	Prec@5 78.125 (71.095)
Epoch: [30][1760/14090]	Time 0.778 (0.752)	Data 0.001 (0.004)	Loss 2.1693 (2.4174)	Prec@1 38.281 (40.706)	Prec@5 74.219 (71.093)
Epoch: [30][1770/14090]	Time 0.756 (0.752)	Data 0.001 (0.004)	Loss 1.9835 (2.4172)	Prec@1 50.781 (40.711)	Prec@5 75.781 (71.084)
Epoch: [30][1780/14090]	Time 0.725 (0.752)	Data 0.001 (0.004)	Loss 2.0250 (2.4171)	Prec@1 46.094 (40.714)	Prec@5 80.469 (71.088)
Epoch: [30][1790/14090]	Time 0.754 (0.752)	Data 0.002 (0.004)	Loss 2.4104 (2.4167)	Prec@1 37.500 (40.723)	Prec@5 69.531 (71.101)
Epoch: [30][1800/14090]	Time 0.742 (0.752)	Data 0.001 (0.004)	Loss 2.5266 (2.4164)	Prec@1 35.938 (40.727)	Prec@5 71.094 (71.106)
Epoch: [30][1810/14090]	Time 0.760 (0.752)	Data 0.001 (0.004)	Loss 2.6303 (2.4164)	Prec@1 36.719 (40.725)	Prec@5 70.312 (71.106)
Epoch: [30][1820/14090]	Time 0.761 (0.752)	Data 0.001 (0.004)	Loss 2.5928 (2.4156)	Prec@1 33.594 (40.739)	Prec@5 69.531 (71.117)
Epoch: [30][1830/14090]	Time 0.726 (0.752)	Data 0.001 (0.004)	Loss 2.3829 (2.4153)	Prec@1 46.875 (40.751)	Prec@5 71.094 (71.127)
Epoch: [30][1840/14090]	Time 0.739 (0.751)	Data 0.001 (0.003)	Loss 2.4435 (2.4154)	Prec@1 41.406 (40.748)	Prec@5 71.094 (71.132)
Epoch: [30][1850/14090]	Time 0.781 (0.751)	Data 0.001 (0.003)	Loss 2.2357 (2.4154)	Prec@1 46.094 (40.749)	Prec@5 70.312 (71.125)
Epoch: [30][1860/14090]	Time 0.755 (0.751)	Data 0.002 (0.003)	Loss 2.4511 (2.4155)	Prec@1 39.844 (40.751)	Prec@5 71.875 (71.126)
Epoch: [30][1870/14090]	Time 0.764 (0.751)	Data 0.001 (0.003)	Loss 2.3181 (2.4149)	Prec@1 43.750 (40.762)	Prec@5 71.875 (71.138)
Epoch: [30][1880/14090]	Time 0.738 (0.751)	Data 0.001 (0.003)	Loss 2.5452 (2.4147)	Prec@1 39.062 (40.763)	Prec@5 72.656 (71.148)
Epoch: [30][1890/14090]	Time 0.757 (0.751)	Data 0.001 (0.003)	Loss 2.3011 (2.4142)	Prec@1 39.844 (40.773)	Prec@5 71.875 (71.162)
Epoch: [30][1900/14090]	Time 0.792 (0.751)	Data 0.001 (0.003)	Loss 2.0915 (2.4138)	Prec@1 46.875 (40.776)	Prec@5 78.125 (71.173)
Epoch: [30][1910/14090]	Time 0.733 (0.751)	Data 0.001 (0.003)	Loss 2.2701 (2.4142)	Prec@1 45.312 (40.772)	Prec@5 73.438 (71.167)
Epoch: [30][1920/14090]	Time 0.740 (0.751)	Data 0.001 (0.003)	Loss 2.3037 (2.4141)	Prec@1 42.969 (40.774)	Prec@5 74.219 (71.175)
Epoch: [30][1930/14090]	Time 0.728 (0.751)	Data 0.002 (0.003)	Loss 2.3305 (2.4139)	Prec@1 38.281 (40.763)	Prec@5 75.000 (71.178)
Epoch: [30][1940/14090]	Time 0.770 (0.751)	Data 0.001 (0.003)	Loss 2.3902 (2.4137)	Prec@1 40.625 (40.770)	Prec@5 71.094 (71.182)
Epoch: [30][1950/14090]	Time 0.768 (0.751)	Data 0.001 (0.003)	Loss 2.3280 (2.4135)	Prec@1 42.969 (40.778)	Prec@5 72.656 (71.183)
Epoch: [30][1960/14090]	Time 0.736 (0.751)	Data 0.001 (0.003)	Loss 2.5143 (2.4132)	Prec@1 38.281 (40.785)	Prec@5 69.531 (71.191)
Epoch: [30][1970/14090]	Time 0.728 (0.751)	Data 0.001 (0.003)	Loss 2.4540 (2.4131)	Prec@1 45.312 (40.796)	Prec@5 67.188 (71.201)
Epoch: [30][1980/14090]	Time 0.741 (0.751)	Data 0.001 (0.003)	Loss 2.2876 (2.4127)	Prec@1 41.406 (40.810)	Prec@5 71.094 (71.199)
Epoch: [30][1990/14090]	Time 0.725 (0.751)	Data 0.001 (0.003)	Loss 2.2190 (2.4123)	Prec@1 46.875 (40.819)	Prec@5 73.438 (71.204)
Epoch: [30][2000/14090]	Time 0.734 (0.751)	Data 0.002 (0.003)	Loss 2.4960 (2.4117)	Prec@1 39.844 (40.826)	Prec@5 67.969 (71.212)
Epoch: [30][2010/14090]	Time 0.738 (0.751)	Data 0.001 (0.003)	Loss 2.5163 (2.4114)	Prec@1 37.500 (40.833)	Prec@5 71.094 (71.216)
Epoch: [30][2020/14090]	Time 0.745 (0.751)	Data 0.001 (0.003)	Loss 2.5070 (2.4113)	Prec@1 35.938 (40.841)	Prec@5 68.750 (71.215)
Epoch: [30][2030/14090]	Time 0.758 (0.751)	Data 0.001 (0.003)	Loss 2.1644 (2.4104)	Prec@1 51.562 (40.853)	Prec@5 75.781 (71.233)
Epoch: [30][2040/14090]	Time 0.777 (0.751)	Data 0.001 (0.003)	Loss 2.1531 (2.4102)	Prec@1 46.875 (40.857)	Prec@5 73.438 (71.236)
Epoch: [30][2050/14090]	Time 0.732 (0.751)	Data 0.001 (0.003)	Loss 2.4367 (2.4099)	Prec@1 41.406 (40.863)	Prec@5 73.438 (71.246)
Epoch: [30][2060/14090]	Time 0.743 (0.751)	Data 0.001 (0.003)	Loss 2.4021 (2.4099)	Prec@1 41.406 (40.868)	Prec@5 68.750 (71.247)
Epoch: [30][2070/14090]	Time 0.740 (0.751)	Data 0.002 (0.003)	Loss 2.3914 (2.4095)	Prec@1 43.750 (40.881)	Prec@5 72.656 (71.254)
Epoch: [30][2080/14090]	Time 0.762 (0.751)	Data 0.001 (0.003)	Loss 2.2286 (2.4086)	Prec@1 42.188 (40.901)	Prec@5 73.438 (71.271)
Epoch: [30][2090/14090]	Time 0.761 (0.751)	Data 0.001 (0.003)	Loss 2.2646 (2.4084)	Prec@1 42.969 (40.911)	Prec@5 72.656 (71.275)
Epoch: [30][2100/14090]	Time 0.723 (0.751)	Data 0.001 (0.003)	Loss 2.5494 (2.4082)	Prec@1 43.750 (40.922)	Prec@5 64.062 (71.280)
Epoch: [30][2110/14090]	Time 0.743 (0.751)	Data 0.001 (0.003)	Loss 1.9952 (2.4080)	Prec@1 50.000 (40.931)	Prec@5 82.031 (71.281)
Epoch: [30][2120/14090]	Time 0.747 (0.751)	Data 0.001 (0.003)	Loss 2.5321 (2.4077)	Prec@1 35.938 (40.938)	Prec@5 61.719 (71.289)
Epoch: [30][2130/14090]	Time 0.774 (0.751)	Data 0.001 (0.003)	Loss 2.1387 (2.4072)	Prec@1 44.531 (40.940)	Prec@5 77.344 (71.307)
Epoch: [30][2140/14090]	Time 0.723 (0.751)	Data 0.002 (0.003)	Loss 1.9833 (2.4067)	Prec@1 52.344 (40.944)	Prec@5 77.344 (71.316)
Epoch: [30][2150/14090]	Time 0.761 (0.751)	Data 0.001 (0.003)	Loss 2.6195 (2.4064)	Prec@1 37.500 (40.956)	Prec@5 68.750 (71.321)
Epoch: [30][2160/14090]	Time 0.737 (0.751)	Data 0.001 (0.003)	Loss 2.2501 (2.4067)	Prec@1 42.969 (40.957)	Prec@5 75.781 (71.322)
Epoch: [30][2170/14090]	Time 0.769 (0.751)	Data 0.001 (0.003)	Loss 2.3661 (2.4062)	Prec@1 40.625 (40.971)	Prec@5 76.562 (71.331)
Epoch: [30][2180/14090]	Time 0.751 (0.751)	Data 0.001 (0.003)	Loss 2.1516 (2.4060)	Prec@1 49.219 (40.972)	Prec@5 73.438 (71.334)
Epoch: [30][2190/14090]	Time 0.736 (0.751)	Data 0.001 (0.003)	Loss 2.3325 (2.4057)	Prec@1 42.969 (40.982)	Prec@5 74.219 (71.339)
Epoch: [30][2200/14090]	Time 0.742 (0.751)	Data 0.001 (0.003)	Loss 2.3327 (2.4054)	Prec@1 42.188 (40.992)	Prec@5 74.219 (71.344)
Epoch: [30][2210/14090]	Time 0.755 (0.751)	Data 0.002 (0.003)	Loss 1.9623 (2.4050)	Prec@1 51.562 (40.998)	Prec@5 81.250 (71.347)
Epoch: [30][2220/14090]	Time 0.752 (0.751)	Data 0.001 (0.003)	Loss 2.2430 (2.4046)	Prec@1 41.406 (41.009)	Prec@5 69.531 (71.350)
Epoch: [30][2230/14090]	Time 0.726 (0.751)	Data 0.001 (0.003)	Loss 2.7683 (2.4044)	Prec@1 42.969 (41.025)	Prec@5 70.312 (71.360)
Epoch: [30][2240/14090]	Time 0.733 (0.751)	Data 0.001 (0.003)	Loss 2.4450 (2.4042)	Prec@1 39.062 (41.031)	Prec@5 71.094 (71.363)
Epoch: [30][2250/14090]	Time 0.748 (0.751)	Data 0.004 (0.003)	Loss 2.2171 (2.4037)	Prec@1 43.750 (41.047)	Prec@5 70.312 (71.363)
Epoch: [30][2260/14090]	Time 0.725 (0.751)	Data 0.001 (0.003)	Loss 2.1983 (2.4035)	Prec@1 43.750 (41.056)	Prec@5 76.562 (71.366)
Epoch: [30][2270/14090]	Time 0.744 (0.751)	Data 0.001 (0.003)	Loss 1.8921 (2.4032)	Prec@1 50.781 (41.055)	Prec@5 82.031 (71.371)
Epoch: [30][2280/14090]	Time 0.776 (0.751)	Data 0.002 (0.003)	Loss 2.4768 (2.4031)	Prec@1 35.938 (41.053)	Prec@5 71.875 (71.375)
Epoch: [30][2290/14090]	Time 0.767 (0.751)	Data 0.001 (0.003)	Loss 2.3111 (2.4033)	Prec@1 39.062 (41.047)	Prec@5 73.438 (71.371)
Epoch: [30][2300/14090]	Time 0.762 (0.751)	Data 0.001 (0.003)	Loss 2.3161 (2.4030)	Prec@1 44.531 (41.052)	Prec@5 75.000 (71.373)
Epoch: [30][2310/14090]	Time 0.749 (0.751)	Data 0.001 (0.003)	Loss 2.5811 (2.4027)	Prec@1 39.062 (41.065)	Prec@5 66.406 (71.380)
Epoch: [30][2320/14090]	Time 0.726 (0.751)	Data 0.001 (0.003)	Loss 2.3885 (2.4026)	Prec@1 39.844 (41.070)	Prec@5 71.875 (71.379)
Epoch: [30][2330/14090]	Time 0.742 (0.751)	Data 0.001 (0.003)	Loss 2.3494 (2.4026)	Prec@1 42.969 (41.072)	Prec@5 73.438 (71.380)
Epoch: [30][2340/14090]	Time 0.773 (0.751)	Data 0.001 (0.003)	Loss 2.3971 (2.4021)	Prec@1 43.750 (41.086)	Prec@5 69.531 (71.384)
Epoch: [30][2350/14090]	Time 0.775 (0.751)	Data 0.002 (0.003)	Loss 1.9594 (2.4019)	Prec@1 44.531 (41.087)	Prec@5 81.250 (71.389)
Epoch: [30][2360/14090]	Time 0.758 (0.751)	Data 0.001 (0.003)	Loss 2.0894 (2.4018)	Prec@1 46.875 (41.094)	Prec@5 78.906 (71.391)
Epoch: [30][2370/14090]	Time 0.736 (0.751)	Data 0.001 (0.003)	Loss 2.2885 (2.4012)	Prec@1 45.312 (41.104)	Prec@5 73.438 (71.406)
Epoch: [30][2380/14090]	Time 0.750 (0.751)	Data 0.001 (0.003)	Loss 2.2640 (2.4011)	Prec@1 41.406 (41.102)	Prec@5 77.344 (71.404)
Epoch: [30][2390/14090]	Time 0.733 (0.751)	Data 0.001 (0.003)	Loss 2.1387 (2.4013)	Prec@1 40.625 (41.100)	Prec@5 72.656 (71.398)
Epoch: [30][2400/14090]	Time 0.747 (0.751)	Data 0.001 (0.003)	Loss 2.1821 (2.4014)	Prec@1 47.656 (41.096)	Prec@5 73.438 (71.399)
Epoch: [30][2410/14090]	Time 0.753 (0.751)	Data 0.001 (0.003)	Loss 2.8542 (2.4014)	Prec@1 36.719 (41.096)	Prec@5 57.031 (71.396)
Epoch: [30][2420/14090]	Time 0.776 (0.751)	Data 0.002 (0.003)	Loss 2.5349 (2.4015)	Prec@1 41.406 (41.093)	Prec@5 67.969 (71.397)
Epoch: [30][2430/14090]	Time 0.739 (0.751)	Data 0.001 (0.003)	Loss 2.6027 (2.4013)	Prec@1 39.844 (41.095)	Prec@5 69.531 (71.399)
Epoch: [30][2440/14090]	Time 0.748 (0.751)	Data 0.001 (0.003)	Loss 2.3678 (2.4010)	Prec@1 42.188 (41.102)	Prec@5 71.875 (71.403)
Epoch: [30][2450/14090]	Time 0.734 (0.751)	Data 0.001 (0.003)	Loss 2.3254 (2.4005)	Prec@1 36.719 (41.107)	Prec@5 75.000 (71.415)
Epoch: [30][2460/14090]	Time 0.752 (0.751)	Data 0.001 (0.003)	Loss 2.3617 (2.4001)	Prec@1 46.094 (41.115)	Prec@5 71.875 (71.423)
Epoch: [30][2470/14090]	Time 0.719 (0.751)	Data 0.001 (0.003)	Loss 2.4627 (2.3998)	Prec@1 39.062 (41.113)	Prec@5 71.875 (71.426)
Epoch: [30][2480/14090]	Time 0.759 (0.751)	Data 0.001 (0.003)	Loss 2.3993 (2.3996)	Prec@1 39.062 (41.115)	Prec@5 71.094 (71.433)
Epoch: [30][2490/14090]	Time 0.767 (0.751)	Data 0.002 (0.003)	Loss 2.2236 (2.3993)	Prec@1 45.312 (41.122)	Prec@5 74.219 (71.441)
Epoch: [30][2500/14090]	Time 0.732 (0.751)	Data 0.001 (0.003)	Loss 2.5621 (2.3991)	Prec@1 42.188 (41.129)	Prec@5 67.969 (71.445)
Epoch: [30][2510/14090]	Time 0.756 (0.751)	Data 0.001 (0.003)	Loss 2.1849 (2.3987)	Prec@1 43.750 (41.129)	Prec@5 78.906 (71.454)
Epoch: [30][2520/14090]	Time 0.754 (0.751)	Data 0.001 (0.003)	Loss 2.5442 (2.3985)	Prec@1 40.625 (41.133)	Prec@5 69.531 (71.457)
Epoch: [30][2530/14090]	Time 0.726 (0.751)	Data 0.001 (0.003)	Loss 2.4097 (2.3981)	Prec@1 39.844 (41.139)	Prec@5 73.438 (71.472)
Epoch: [30][2540/14090]	Time 0.718 (0.751)	Data 0.001 (0.003)	Loss 2.5463 (2.3980)	Prec@1 37.500 (41.144)	Prec@5 73.438 (71.480)
Epoch: [30][2550/14090]	Time 0.727 (0.751)	Data 0.001 (0.003)	Loss 2.1906 (2.3977)	Prec@1 44.531 (41.149)	Prec@5 75.000 (71.486)
Epoch: [30][2560/14090]	Time 0.735 (0.751)	Data 0.002 (0.003)	Loss 2.4851 (2.3973)	Prec@1 36.719 (41.153)	Prec@5 67.969 (71.492)
Epoch: [30][2570/14090]	Time 0.733 (0.751)	Data 0.001 (0.003)	Loss 2.0176 (2.3969)	Prec@1 44.531 (41.159)	Prec@5 77.344 (71.501)
Epoch: [30][2580/14090]	Time 0.727 (0.750)	Data 0.001 (0.003)	Loss 2.3039 (2.3968)	Prec@1 39.062 (41.159)	Prec@5 73.438 (71.506)
Epoch: [30][2590/14090]	Time 0.791 (0.751)	Data 0.001 (0.003)	Loss 2.3487 (2.3959)	Prec@1 47.656 (41.176)	Prec@5 71.875 (71.527)
Epoch: [30][2600/14090]	Time 0.740 (0.751)	Data 0.001 (0.003)	Loss 2.3350 (2.3955)	Prec@1 40.625 (41.177)	Prec@5 74.219 (71.531)
Epoch: [30][2610/14090]	Time 0.738 (0.750)	Data 0.001 (0.003)	Loss 2.4470 (2.3953)	Prec@1 42.188 (41.187)	Prec@5 71.875 (71.535)
Epoch: [30][2620/14090]	Time 0.739 (0.750)	Data 0.001 (0.003)	Loss 2.6540 (2.3951)	Prec@1 35.938 (41.190)	Prec@5 64.844 (71.534)
Epoch: [30][2630/14090]	Time 0.751 (0.750)	Data 0.002 (0.003)	Loss 2.4432 (2.3948)	Prec@1 41.406 (41.195)	Prec@5 68.750 (71.538)
Epoch: [30][2640/14090]	Time 0.750 (0.750)	Data 0.002 (0.003)	Loss 2.3359 (2.3950)	Prec@1 37.500 (41.181)	Prec@5 73.438 (71.539)
Epoch: [30][2650/14090]	Time 0.755 (0.750)	Data 0.001 (0.003)	Loss 2.5560 (2.3949)	Prec@1 38.281 (41.181)	Prec@5 67.188 (71.542)
Epoch: [30][2660/14090]	Time 0.726 (0.750)	Data 0.001 (0.003)	Loss 2.0914 (2.3948)	Prec@1 46.094 (41.189)	Prec@5 79.688 (71.544)
Epoch: [30][2670/14090]	Time 0.747 (0.750)	Data 0.001 (0.003)	Loss 2.1493 (2.3946)	Prec@1 44.531 (41.194)	Prec@5 81.250 (71.547)
Epoch: [30][2680/14090]	Time 0.737 (0.750)	Data 0.001 (0.003)	Loss 2.4351 (2.3948)	Prec@1 35.156 (41.189)	Prec@5 74.219 (71.546)
Epoch: [30][2690/14090]	Time 0.733 (0.750)	Data 0.001 (0.003)	Loss 2.0521 (2.3944)	Prec@1 42.969 (41.193)	Prec@5 76.562 (71.551)
Epoch: [30][2700/14090]	Time 0.752 (0.750)	Data 0.002 (0.003)	Loss 2.1571 (2.3939)	Prec@1 46.875 (41.202)	Prec@5 74.219 (71.558)
Epoch: [30][2710/14090]	Time 0.773 (0.750)	Data 0.001 (0.003)	Loss 2.2899 (2.3938)	Prec@1 45.312 (41.213)	Prec@5 70.312 (71.559)
Epoch: [30][2720/14090]	Time 0.741 (0.750)	Data 0.001 (0.003)	Loss 2.4247 (2.3935)	Prec@1 46.875 (41.219)	Prec@5 67.188 (71.561)
Epoch: [30][2730/14090]	Time 0.743 (0.750)	Data 0.001 (0.003)	Loss 2.1306 (2.3930)	Prec@1 42.969 (41.220)	Prec@5 80.469 (71.573)
Epoch: [30][2740/14090]	Time 0.782 (0.750)	Data 0.001 (0.003)	Loss 2.4047 (2.3927)	Prec@1 45.312 (41.226)	Prec@5 71.094 (71.579)
Epoch: [30][2750/14090]	Time 0.728 (0.750)	Data 0.001 (0.003)	Loss 2.3897 (2.3924)	Prec@1 38.281 (41.234)	Prec@5 76.562 (71.588)
Epoch: [30][2760/14090]	Time 0.758 (0.750)	Data 0.001 (0.003)	Loss 2.2342 (2.3923)	Prec@1 42.969 (41.235)	Prec@5 76.562 (71.590)
Epoch: [30][2770/14090]	Time 0.730 (0.750)	Data 0.002 (0.003)	Loss 2.4311 (2.3921)	Prec@1 39.844 (41.240)	Prec@5 69.531 (71.596)
Epoch: [30][2780/14090]	Time 0.773 (0.750)	Data 0.001 (0.003)	Loss 2.2377 (2.3917)	Prec@1 42.969 (41.245)	Prec@5 74.219 (71.604)
Epoch: [30][2790/14090]	Time 0.771 (0.750)	Data 0.001 (0.003)	Loss 2.3726 (2.3913)	Prec@1 36.719 (41.245)	Prec@5 69.531 (71.613)
Epoch: [30][2800/14090]	Time 0.764 (0.750)	Data 0.001 (0.003)	Loss 2.6944 (2.3914)	Prec@1 30.469 (41.235)	Prec@5 67.969 (71.616)
Epoch: [30][2810/14090]	Time 0.736 (0.750)	Data 0.001 (0.003)	Loss 2.4301 (2.3913)	Prec@1 39.062 (41.238)	Prec@5 68.750 (71.617)
Epoch: [30][2820/14090]	Time 0.743 (0.750)	Data 0.001 (0.003)	Loss 2.2376 (2.3911)	Prec@1 42.188 (41.240)	Prec@5 76.562 (71.622)
Epoch: [30][2830/14090]	Time 0.732 (0.750)	Data 0.001 (0.003)	Loss 2.3431 (2.3906)	Prec@1 46.094 (41.248)	Prec@5 75.000 (71.634)
Epoch: [30][2840/14090]	Time 0.734 (0.750)	Data 0.003 (0.003)	Loss 2.3047 (2.3903)	Prec@1 45.312 (41.252)	Prec@5 71.875 (71.640)
Epoch: [30][2850/14090]	Time 0.762 (0.750)	Data 0.001 (0.003)	Loss 2.4700 (2.3900)	Prec@1 32.812 (41.255)	Prec@5 71.094 (71.649)
Epoch: [30][2860/14090]	Time 0.735 (0.750)	Data 0.001 (0.003)	Loss 2.3503 (2.3901)	Prec@1 42.969 (41.254)	Prec@5 67.969 (71.646)
Epoch: [30][2870/14090]	Time 0.737 (0.750)	Data 0.001 (0.003)	Loss 2.3213 (2.3899)	Prec@1 40.625 (41.261)	Prec@5 71.875 (71.647)
Epoch: [30][2880/14090]	Time 0.731 (0.750)	Data 0.001 (0.003)	Loss 2.1928 (2.3900)	Prec@1 44.531 (41.264)	Prec@5 76.562 (71.649)
Epoch: [30][2890/14090]	Time 0.764 (0.750)	Data 0.001 (0.003)	Loss 2.1729 (2.3897)	Prec@1 43.750 (41.267)	Prec@5 78.906 (71.652)
Epoch: [30][2900/14090]	Time 0.748 (0.750)	Data 0.001 (0.003)	Loss 2.3584 (2.3893)	Prec@1 44.531 (41.276)	Prec@5 74.219 (71.658)
Epoch: [30][2910/14090]	Time 0.737 (0.750)	Data 0.002 (0.003)	Loss 2.3850 (2.3892)	Prec@1 39.062 (41.275)	Prec@5 71.875 (71.661)
Epoch: [30][2920/14090]	Time 0.744 (0.750)	Data 0.002 (0.003)	Loss 2.4643 (2.3889)	Prec@1 42.188 (41.283)	Prec@5 67.969 (71.662)
Epoch: [30][2930/14090]	Time 0.731 (0.750)	Data 0.001 (0.003)	Loss 2.6688 (2.3888)	Prec@1 38.281 (41.284)	Prec@5 67.188 (71.663)
Epoch: [30][2940/14090]	Time 0.720 (0.750)	Data 0.001 (0.003)	Loss 2.1703 (2.3886)	Prec@1 50.781 (41.288)	Prec@5 71.094 (71.665)
Epoch: [30][2950/14090]	Time 0.740 (0.750)	Data 0.001 (0.003)	Loss 2.0817 (2.3885)	Prec@1 49.219 (41.295)	Prec@5 79.688 (71.666)
Epoch: [30][2960/14090]	Time 0.768 (0.750)	Data 0.001 (0.003)	Loss 2.6083 (2.3884)	Prec@1 35.156 (41.285)	Prec@5 67.969 (71.673)
Epoch: [30][2970/14090]	Time 0.767 (0.750)	Data 0.001 (0.003)	Loss 2.4870 (2.3885)	Prec@1 41.406 (41.281)	Prec@5 67.188 (71.671)
Epoch: [30][2980/14090]	Time 0.732 (0.750)	Data 0.002 (0.003)	Loss 2.2784 (2.3884)	Prec@1 41.406 (41.283)	Prec@5 72.656 (71.671)
Epoch: [30][2990/14090]	Time 0.734 (0.750)	Data 0.001 (0.003)	Loss 2.3184 (2.3879)	Prec@1 42.969 (41.291)	Prec@5 75.000 (71.682)
Epoch: [30][3000/14090]	Time 0.776 (0.750)	Data 0.001 (0.003)	Loss 2.4082 (2.3878)	Prec@1 46.094 (41.292)	Prec@5 68.750 (71.684)
Epoch: [30][3010/14090]	Time 0.754 (0.750)	Data 0.001 (0.003)	Loss 2.2010 (2.3877)	Prec@1 42.188 (41.295)	Prec@5 74.219 (71.685)
Epoch: [30][3020/14090]	Time 0.776 (0.750)	Data 0.001 (0.003)	Loss 2.5689 (2.3881)	Prec@1 40.625 (41.284)	Prec@5 69.531 (71.681)
Epoch: [30][3030/14090]	Time 0.769 (0.750)	Data 0.001 (0.003)	Loss 2.1932 (2.3881)	Prec@1 46.094 (41.284)	Prec@5 72.656 (71.682)
Epoch: [30][3040/14090]	Time 0.774 (0.750)	Data 0.001 (0.003)	Loss 2.2788 (2.3881)	Prec@1 42.188 (41.290)	Prec@5 77.344 (71.685)
Epoch: [30][3050/14090]	Time 0.775 (0.750)	Data 0.003 (0.003)	Loss 2.3320 (2.3881)	Prec@1 42.188 (41.293)	Prec@5 71.094 (71.682)
Epoch: [30][3060/14090]	Time 0.758 (0.750)	Data 0.001 (0.003)	Loss 2.1529 (2.3878)	Prec@1 46.094 (41.297)	Prec@5 75.781 (71.686)
Epoch: [30][3070/14090]	Time 0.735 (0.750)	Data 0.001 (0.003)	Loss 2.3997 (2.3874)	Prec@1 37.500 (41.299)	Prec@5 75.000 (71.695)
Epoch: [30][3080/14090]	Time 0.752 (0.750)	Data 0.001 (0.003)	Loss 2.3568 (2.3874)	Prec@1 41.406 (41.297)	Prec@5 72.656 (71.695)
Epoch: [30][3090/14090]	Time 0.768 (0.750)	Data 0.001 (0.002)	Loss 2.3703 (2.3876)	Prec@1 36.719 (41.290)	Prec@5 73.438 (71.693)
Epoch: [30][3100/14090]	Time 0.728 (0.750)	Data 0.001 (0.002)	Loss 2.3505 (2.3873)	Prec@1 42.969 (41.296)	Prec@5 70.312 (71.697)
Epoch: [30][3110/14090]	Time 0.744 (0.750)	Data 0.001 (0.002)	Loss 2.3820 (2.3873)	Prec@1 39.062 (41.292)	Prec@5 71.094 (71.695)
Epoch: [30][3120/14090]	Time 0.750 (0.750)	Data 0.002 (0.002)	Loss 2.2527 (2.3869)	Prec@1 46.875 (41.301)	Prec@5 72.656 (71.703)
Epoch: [30][3130/14090]	Time 0.774 (0.750)	Data 0.001 (0.002)	Loss 2.3117 (2.3864)	Prec@1 44.531 (41.312)	Prec@5 70.312 (71.709)
Epoch: [30][3140/14090]	Time 0.730 (0.750)	Data 0.001 (0.002)	Loss 2.2490 (2.3863)	Prec@1 46.094 (41.321)	Prec@5 77.344 (71.712)
Epoch: [30][3150/14090]	Time 0.729 (0.750)	Data 0.002 (0.002)	Loss 2.4329 (2.3861)	Prec@1 44.531 (41.325)	Prec@5 71.094 (71.717)
Epoch: [30][3160/14090]	Time 0.753 (0.750)	Data 0.001 (0.002)	Loss 2.2238 (2.3859)	Prec@1 44.531 (41.331)	Prec@5 76.562 (71.721)
Epoch: [30][3170/14090]	Time 0.728 (0.750)	Data 0.001 (0.002)	Loss 2.3980 (2.3855)	Prec@1 40.625 (41.337)	Prec@5 67.969 (71.729)
Epoch: [30][3180/14090]	Time 0.723 (0.750)	Data 0.001 (0.002)	Loss 2.3798 (2.3855)	Prec@1 42.969 (41.334)	Prec@5 68.750 (71.725)
Epoch: [30][3190/14090]	Time 0.767 (0.750)	Data 0.002 (0.002)	Loss 2.2318 (2.3851)	Prec@1 39.844 (41.337)	Prec@5 75.781 (71.734)
Epoch: [30][3200/14090]	Time 0.770 (0.750)	Data 0.001 (0.002)	Loss 2.2374 (2.3849)	Prec@1 42.969 (41.337)	Prec@5 74.219 (71.737)
Epoch: [30][3210/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 2.5310 (2.3852)	Prec@1 37.500 (41.333)	Prec@5 76.562 (71.740)
Epoch: [30][3220/14090]	Time 0.740 (0.750)	Data 0.001 (0.002)	Loss 2.4254 (2.3851)	Prec@1 41.406 (41.336)	Prec@5 71.094 (71.741)
Epoch: [30][3230/14090]	Time 0.773 (0.750)	Data 0.001 (0.002)	Loss 2.3799 (2.3848)	Prec@1 43.750 (41.340)	Prec@5 67.969 (71.746)
Epoch: [30][3240/14090]	Time 0.780 (0.750)	Data 0.001 (0.002)	Loss 2.2422 (2.3846)	Prec@1 40.625 (41.344)	Prec@5 77.344 (71.754)
Epoch: [30][3250/14090]	Time 0.766 (0.750)	Data 0.002 (0.002)	Loss 2.5210 (2.3844)	Prec@1 37.500 (41.349)	Prec@5 71.875 (71.759)
Epoch: [30][3260/14090]	Time 0.726 (0.750)	Data 0.002 (0.002)	Loss 2.4295 (2.3846)	Prec@1 39.062 (41.345)	Prec@5 70.312 (71.758)
Epoch: [30][3270/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 2.1296 (2.3842)	Prec@1 47.656 (41.353)	Prec@5 76.562 (71.770)
Epoch: [30][3280/14090]	Time 0.753 (0.750)	Data 0.001 (0.002)	Loss 2.3070 (2.3840)	Prec@1 43.750 (41.352)	Prec@5 73.438 (71.774)
Epoch: [30][3290/14090]	Time 0.763 (0.750)	Data 0.002 (0.002)	Loss 2.3038 (2.3837)	Prec@1 42.188 (41.359)	Prec@5 75.781 (71.777)
Epoch: [30][3300/14090]	Time 0.760 (0.750)	Data 0.001 (0.002)	Loss 2.1383 (2.3835)	Prec@1 46.875 (41.360)	Prec@5 73.438 (71.784)
Epoch: [30][3310/14090]	Time 0.725 (0.750)	Data 0.001 (0.002)	Loss 2.2630 (2.3835)	Prec@1 43.750 (41.361)	Prec@5 73.438 (71.783)
Epoch: [30][3320/14090]	Time 0.777 (0.750)	Data 0.001 (0.002)	Loss 2.4801 (2.3835)	Prec@1 36.719 (41.360)	Prec@5 73.438 (71.780)
Epoch: [30][3330/14090]	Time 0.767 (0.750)	Data 0.002 (0.002)	Loss 2.4898 (2.3833)	Prec@1 37.500 (41.365)	Prec@5 67.188 (71.782)
Epoch: [30][3340/14090]	Time 0.738 (0.750)	Data 0.001 (0.002)	Loss 2.3327 (2.3833)	Prec@1 46.875 (41.362)	Prec@5 73.438 (71.785)
Epoch: [30][3350/14090]	Time 0.745 (0.750)	Data 0.001 (0.002)	Loss 2.1749 (2.3830)	Prec@1 46.875 (41.371)	Prec@5 75.000 (71.791)
Epoch: [30][3360/14090]	Time 0.748 (0.750)	Data 0.001 (0.002)	Loss 2.2702 (2.3827)	Prec@1 42.188 (41.370)	Prec@5 71.094 (71.797)
Epoch: [30][3370/14090]	Time 0.747 (0.750)	Data 0.001 (0.002)	Loss 2.4964 (2.3828)	Prec@1 35.938 (41.366)	Prec@5 67.188 (71.797)
Epoch: [30][3380/14090]	Time 0.731 (0.750)	Data 0.001 (0.002)	Loss 2.5746 (2.3826)	Prec@1 35.938 (41.374)	Prec@5 68.750 (71.797)
Epoch: [30][3390/14090]	Time 0.755 (0.750)	Data 0.001 (0.002)	Loss 2.2033 (2.3824)	Prec@1 52.344 (41.378)	Prec@5 77.344 (71.806)
Epoch: [30][3400/14090]	Time 0.726 (0.750)	Data 0.002 (0.002)	Loss 2.4696 (2.3822)	Prec@1 36.719 (41.383)	Prec@5 71.094 (71.810)
Epoch: [30][3410/14090]	Time 0.755 (0.750)	Data 0.001 (0.002)	Loss 2.7178 (2.3823)	Prec@1 33.594 (41.383)	Prec@5 68.750 (71.811)
Epoch: [30][3420/14090]	Time 0.727 (0.750)	Data 0.001 (0.002)	Loss 2.3685 (2.3819)	Prec@1 38.281 (41.387)	Prec@5 78.906 (71.822)
Epoch: [30][3430/14090]	Time 0.793 (0.750)	Data 0.001 (0.002)	Loss 2.3663 (2.3817)	Prec@1 36.719 (41.387)	Prec@5 72.656 (71.824)
Epoch: [30][3440/14090]	Time 0.734 (0.750)	Data 0.001 (0.002)	Loss 2.4973 (2.3817)	Prec@1 37.500 (41.381)	Prec@5 65.625 (71.823)
Epoch: [30][3450/14090]	Time 0.756 (0.750)	Data 0.002 (0.002)	Loss 2.4591 (2.3816)	Prec@1 39.062 (41.383)	Prec@5 69.531 (71.823)
Epoch: [30][3460/14090]	Time 0.767 (0.750)	Data 0.001 (0.002)	Loss 2.1393 (2.3815)	Prec@1 46.875 (41.388)	Prec@5 76.562 (71.822)
Epoch: [30][3470/14090]	Time 0.734 (0.750)	Data 0.002 (0.002)	Loss 2.2694 (2.3815)	Prec@1 46.094 (41.387)	Prec@5 71.875 (71.823)
Epoch: [30][3480/14090]	Time 0.740 (0.750)	Data 0.001 (0.002)	Loss 2.5909 (2.3815)	Prec@1 36.719 (41.392)	Prec@5 67.188 (71.821)
Epoch: [30][3490/14090]	Time 0.742 (0.750)	Data 0.001 (0.002)	Loss 2.2635 (2.3814)	Prec@1 42.969 (41.396)	Prec@5 76.562 (71.819)
Epoch: [30][3500/14090]	Time 0.771 (0.750)	Data 0.001 (0.002)	Loss 2.3942 (2.3814)	Prec@1 42.969 (41.394)	Prec@5 68.750 (71.818)
Epoch: [30][3510/14090]	Time 0.744 (0.750)	Data 0.001 (0.002)	Loss 2.2041 (2.3815)	Prec@1 49.219 (41.392)	Prec@5 78.906 (71.816)
Epoch: [30][3520/14090]	Time 0.766 (0.750)	Data 0.001 (0.002)	Loss 2.2854 (2.3817)	Prec@1 40.625 (41.388)	Prec@5 73.438 (71.815)
Epoch: [30][3530/14090]	Time 0.736 (0.750)	Data 0.001 (0.002)	Loss 2.3661 (2.3816)	Prec@1 37.500 (41.393)	Prec@5 70.312 (71.815)
Epoch: [30][3540/14090]	Time 0.726 (0.750)	Data 0.002 (0.002)	Loss 2.1561 (2.3814)	Prec@1 46.875 (41.395)	Prec@5 74.219 (71.815)
Epoch: [30][3550/14090]	Time 0.755 (0.750)	Data 0.001 (0.002)	Loss 2.0189 (2.3810)	Prec@1 46.875 (41.397)	Prec@5 78.906 (71.824)
Epoch: [30][3560/14090]	Time 0.746 (0.750)	Data 0.001 (0.002)	Loss 2.3938 (2.3809)	Prec@1 42.188 (41.397)	Prec@5 67.188 (71.823)
Epoch: [30][3570/14090]	Time 0.735 (0.750)	Data 0.001 (0.002)	Loss 2.3314 (2.3810)	Prec@1 42.969 (41.398)	Prec@5 77.344 (71.818)
Epoch: [30][3580/14090]	Time 0.740 (0.750)	Data 0.001 (0.002)	Loss 2.5068 (2.3809)	Prec@1 35.156 (41.399)	Prec@5 72.656 (71.818)
Epoch: [30][3590/14090]	Time 0.728 (0.750)	Data 0.001 (0.002)	Loss 2.3840 (2.3810)	Prec@1 39.062 (41.395)	Prec@5 74.219 (71.816)
Epoch: [30][3600/14090]	Time 0.737 (0.750)	Data 0.001 (0.002)	Loss 2.4059 (2.3807)	Prec@1 38.281 (41.399)	Prec@5 69.531 (71.822)
Epoch: [30][3610/14090]	Time 0.751 (0.750)	Data 0.002 (0.002)	Loss 2.4062 (2.3807)	Prec@1 42.188 (41.399)	Prec@5 71.875 (71.824)
Epoch: [30][3620/14090]	Time 0.723 (0.750)	Data 0.001 (0.002)	Loss 2.3613 (2.3804)	Prec@1 40.625 (41.403)	Prec@5 71.875 (71.830)
Epoch: [30][3630/14090]	Time 0.755 (0.750)	Data 0.001 (0.002)	Loss 2.3835 (2.3802)	Prec@1 39.062 (41.401)	Prec@5 76.562 (71.835)
Epoch: [30][3640/14090]	Time 0.733 (0.750)	Data 0.002 (0.002)	Loss 2.3581 (2.3800)	Prec@1 42.969 (41.406)	Prec@5 71.094 (71.840)
Epoch: [30][3650/14090]	Time 0.769 (0.750)	Data 0.001 (0.002)	Loss 2.1401 (2.3796)	Prec@1 40.625 (41.411)	Prec@5 75.781 (71.851)
Epoch: [30][3660/14090]	Time 0.765 (0.750)	Data 0.001 (0.002)	Loss 2.1886 (2.3794)	Prec@1 42.969 (41.415)	Prec@5 79.688 (71.858)
Epoch: [30][3670/14090]	Time 0.758 (0.750)	Data 0.001 (0.002)	Loss 2.1890 (2.3792)	Prec@1 46.875 (41.420)	Prec@5 75.000 (71.864)
Epoch: [30][3680/14090]	Time 0.765 (0.750)	Data 0.002 (0.002)	Loss 2.1429 (2.3791)	Prec@1 46.094 (41.421)	Prec@5 74.219 (71.866)
Epoch: [30][3690/14090]	Time 0.738 (0.750)	Data 0.001 (0.002)	Loss 2.3436 (2.3793)	Prec@1 44.531 (41.419)	Prec@5 75.000 (71.864)
Epoch: [30][3700/14090]	Time 0.774 (0.750)	Data 0.001 (0.002)	Loss 2.2850 (2.3790)	Prec@1 39.062 (41.424)	Prec@5 72.656 (71.868)
Epoch: [30][3710/14090]	Time 0.742 (0.750)	Data 0.001 (0.002)	Loss 2.5202 (2.3789)	Prec@1 42.969 (41.427)	Prec@5 68.750 (71.872)
Epoch: [30][3720/14090]	Time 0.739 (0.750)	Data 0.001 (0.002)	Loss 2.3568 (2.3791)	Prec@1 41.406 (41.423)	Prec@5 72.656 (71.869)
Epoch: [30][3730/14090]	Time 0.756 (0.750)	Data 0.002 (0.002)	Loss 2.2667 (2.3788)	Prec@1 45.312 (41.428)	Prec@5 71.875 (71.874)
Epoch: [30][3740/14090]	Time 0.768 (0.750)	Data 0.001 (0.002)	Loss 2.2311 (2.3787)	Prec@1 43.750 (41.428)	Prec@5 78.125 (71.876)
Epoch: [30][3750/14090]	Time 0.767 (0.750)	Data 0.003 (0.002)	Loss 2.3279 (2.3786)	Prec@1 40.625 (41.428)	Prec@5 73.438 (71.881)
Epoch: [30][3760/14090]	Time 0.732 (0.750)	Data 0.001 (0.002)	Loss 2.1587 (2.3785)	Prec@1 44.531 (41.426)	Prec@5 78.125 (71.884)
Epoch: [30][3770/14090]	Time 0.743 (0.750)	Data 0.001 (0.002)	Loss 2.4802 (2.3783)	Prec@1 36.719 (41.432)	Prec@5 72.656 (71.889)
Epoch: [30][3780/14090]	Time 0.751 (0.750)	Data 0.001 (0.002)	Loss 2.4413 (2.3781)	Prec@1 42.969 (41.438)	Prec@5 71.094 (71.893)
Epoch: [30][3790/14090]	Time 0.727 (0.750)	Data 0.001 (0.002)	Loss 2.5478 (2.3781)	Prec@1 41.406 (41.441)	Prec@5 66.406 (71.895)
Epoch: [30][3800/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 2.3345 (2.3779)	Prec@1 39.844 (41.441)	Prec@5 71.875 (71.896)
Epoch: [30][3810/14090]	Time 0.751 (0.750)	Data 0.001 (0.002)	Loss 2.3545 (2.3778)	Prec@1 39.844 (41.445)	Prec@5 74.219 (71.899)
Epoch: [30][3820/14090]	Time 0.781 (0.750)	Data 0.002 (0.002)	Loss 2.4182 (2.3775)	Prec@1 31.250 (41.447)	Prec@5 70.312 (71.906)
Epoch: [30][3830/14090]	Time 0.763 (0.750)	Data 0.001 (0.002)	Loss 2.3785 (2.3774)	Prec@1 46.875 (41.450)	Prec@5 67.188 (71.906)
Epoch: [30][3840/14090]	Time 0.732 (0.750)	Data 0.001 (0.002)	Loss 2.4454 (2.3772)	Prec@1 41.406 (41.454)	Prec@5 71.875 (71.908)
Epoch: [30][3850/14090]	Time 0.760 (0.750)	Data 0.001 (0.002)	Loss 2.4508 (2.3771)	Prec@1 37.500 (41.454)	Prec@5 72.656 (71.907)
Epoch: [30][3860/14090]	Time 0.730 (0.750)	Data 0.001 (0.002)	Loss 2.1504 (2.3770)	Prec@1 46.875 (41.453)	Prec@5 76.562 (71.908)
Epoch: [30][3870/14090]	Time 0.769 (0.750)	Data 0.001 (0.002)	Loss 2.7687 (2.3768)	Prec@1 34.375 (41.459)	Prec@5 66.406 (71.912)
Epoch: [30][3880/14090]	Time 0.755 (0.750)	Data 0.001 (0.002)	Loss 2.3924 (2.3766)	Prec@1 38.281 (41.459)	Prec@5 74.219 (71.917)
Epoch: [30][3890/14090]	Time 0.722 (0.750)	Data 0.002 (0.002)	Loss 2.2518 (2.3762)	Prec@1 40.625 (41.466)	Prec@5 74.219 (71.923)
Epoch: [30][3900/14090]	Time 0.745 (0.750)	Data 0.001 (0.002)	Loss 2.3144 (2.3762)	Prec@1 47.656 (41.471)	Prec@5 73.438 (71.920)
Epoch: [30][3910/14090]	Time 0.726 (0.750)	Data 0.001 (0.002)	Loss 2.4255 (2.3761)	Prec@1 37.500 (41.474)	Prec@5 72.656 (71.920)
Epoch: [30][3920/14090]	Time 0.725 (0.750)	Data 0.001 (0.002)	Loss 2.3361 (2.3759)	Prec@1 46.094 (41.481)	Prec@5 72.656 (71.922)
Epoch: [30][3930/14090]	Time 0.758 (0.750)	Data 0.001 (0.002)	Loss 2.1010 (2.3755)	Prec@1 42.969 (41.491)	Prec@5 74.219 (71.929)
Epoch: [30][3940/14090]	Time 0.758 (0.750)	Data 0.001 (0.002)	Loss 2.2710 (2.3752)	Prec@1 46.094 (41.500)	Prec@5 74.219 (71.933)
Epoch: [30][3950/14090]	Time 0.724 (0.750)	Data 0.001 (0.002)	Loss 2.2182 (2.3750)	Prec@1 46.875 (41.500)	Prec@5 75.000 (71.933)
Epoch: [30][3960/14090]	Time 0.728 (0.750)	Data 0.002 (0.002)	Loss 2.4162 (2.3750)	Prec@1 43.750 (41.505)	Prec@5 75.000 (71.934)
Epoch: [30][3970/14090]	Time 0.794 (0.750)	Data 0.001 (0.002)	Loss 2.2746 (2.3749)	Prec@1 42.188 (41.510)	Prec@5 74.219 (71.934)
Epoch: [30][3980/14090]	Time 0.744 (0.750)	Data 0.001 (0.002)	Loss 2.2754 (2.3745)	Prec@1 42.188 (41.515)	Prec@5 70.312 (71.939)
Epoch: [30][3990/14090]	Time 0.728 (0.750)	Data 0.001 (0.002)	Loss 2.3344 (2.3744)	Prec@1 46.094 (41.526)	Prec@5 75.781 (71.939)
Epoch: [30][4000/14090]	Time 0.734 (0.750)	Data 0.001 (0.002)	Loss 2.3740 (2.3743)	Prec@1 39.062 (41.526)	Prec@5 73.438 (71.942)
Epoch: [30][4010/14090]	Time 0.769 (0.750)	Data 0.001 (0.002)	Loss 2.4601 (2.3744)	Prec@1 39.062 (41.524)	Prec@5 69.531 (71.939)
Epoch: [30][4020/14090]	Time 0.783 (0.750)	Data 0.002 (0.002)	Loss 2.2996 (2.3742)	Prec@1 39.844 (41.522)	Prec@5 74.219 (71.943)
Epoch: [30][4030/14090]	Time 0.761 (0.750)	Data 0.002 (0.002)	Loss 2.3463 (2.3740)	Prec@1 46.094 (41.525)	Prec@5 71.094 (71.945)
Epoch: [30][4040/14090]	Time 0.748 (0.750)	Data 0.001 (0.002)	Loss 2.2345 (2.3740)	Prec@1 42.188 (41.525)	Prec@5 75.000 (71.945)
Epoch: [30][4050/14090]	Time 0.751 (0.750)	Data 0.001 (0.002)	Loss 2.4834 (2.3739)	Prec@1 42.188 (41.527)	Prec@5 69.531 (71.948)
Epoch: [30][4060/14090]	Time 0.743 (0.750)	Data 0.001 (0.002)	Loss 2.0991 (2.3736)	Prec@1 46.875 (41.533)	Prec@5 77.344 (71.954)
Epoch: [30][4070/14090]	Time 0.769 (0.750)	Data 0.001 (0.002)	Loss 2.6214 (2.3735)	Prec@1 40.625 (41.535)	Prec@5 67.969 (71.958)
Epoch: [30][4080/14090]	Time 0.777 (0.750)	Data 0.001 (0.002)	Loss 2.3221 (2.3734)	Prec@1 40.625 (41.536)	Prec@5 76.562 (71.959)
Epoch: [30][4090/14090]	Time 0.745 (0.750)	Data 0.001 (0.002)	Loss 2.3257 (2.3732)	Prec@1 43.750 (41.539)	Prec@5 73.438 (71.965)
Epoch: [30][4100/14090]	Time 0.740 (0.750)	Data 0.003 (0.002)	Loss 2.2549 (2.3731)	Prec@1 41.406 (41.543)	Prec@5 78.125 (71.968)
Epoch: [30][4110/14090]	Time 0.781 (0.750)	Data 0.001 (0.002)	Loss 2.1097 (2.3729)	Prec@1 44.531 (41.541)	Prec@5 76.562 (71.973)
Epoch: [30][4120/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 2.0385 (2.3727)	Prec@1 50.000 (41.544)	Prec@5 75.781 (71.975)
Epoch: [30][4130/14090]	Time 0.738 (0.750)	Data 0.001 (0.002)	Loss 2.2332 (2.3726)	Prec@1 46.094 (41.547)	Prec@5 74.219 (71.974)
Epoch: [30][4140/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 2.5024 (2.3728)	Prec@1 40.625 (41.542)	Prec@5 74.219 (71.967)
Epoch: [30][4150/14090]	Time 0.741 (0.750)	Data 0.001 (0.002)	Loss 2.3963 (2.3728)	Prec@1 41.406 (41.537)	Prec@5 71.875 (71.966)
Epoch: [30][4160/14090]	Time 0.778 (0.750)	Data 0.001 (0.002)	Loss 2.3788 (2.3727)	Prec@1 43.750 (41.544)	Prec@5 70.312 (71.968)
Epoch: [30][4170/14090]	Time 0.740 (0.750)	Data 0.002 (0.002)	Loss 2.3334 (2.3725)	Prec@1 39.062 (41.544)	Prec@5 73.438 (71.970)
Epoch: [30][4180/14090]	Time 0.747 (0.750)	Data 0.001 (0.002)	Loss 2.7331 (2.3723)	Prec@1 33.594 (41.546)	Prec@5 64.062 (71.972)
Epoch: [30][4190/14090]	Time 0.760 (0.750)	Data 0.001 (0.002)	Loss 1.9819 (2.3720)	Prec@1 54.688 (41.550)	Prec@5 79.688 (71.974)
Epoch: [30][4200/14090]	Time 0.743 (0.750)	Data 0.001 (0.002)	Loss 2.2721 (2.3721)	Prec@1 39.844 (41.548)	Prec@5 76.562 (71.976)
Epoch: [30][4210/14090]	Time 0.748 (0.750)	Data 0.001 (0.002)	Loss 2.6000 (2.3719)	Prec@1 35.938 (41.552)	Prec@5 71.094 (71.980)
Epoch: [30][4220/14090]	Time 0.758 (0.750)	Data 0.001 (0.002)	Loss 2.3105 (2.3717)	Prec@1 42.188 (41.554)	Prec@5 69.531 (71.979)
Epoch: [30][4230/14090]	Time 0.728 (0.750)	Data 0.001 (0.002)	Loss 2.4272 (2.3717)	Prec@1 38.281 (41.554)	Prec@5 71.875 (71.978)
Epoch: [30][4240/14090]	Time 0.763 (0.750)	Data 0.002 (0.002)	Loss 2.2113 (2.3717)	Prec@1 38.281 (41.548)	Prec@5 75.781 (71.976)
Epoch: [30][4250/14090]	Time 0.758 (0.750)	Data 0.001 (0.002)	Loss 2.0378 (2.3716)	Prec@1 49.219 (41.553)	Prec@5 83.594 (71.978)
Epoch: [30][4260/14090]	Time 0.757 (0.750)	Data 0.001 (0.002)	Loss 2.2020 (2.3716)	Prec@1 47.656 (41.554)	Prec@5 78.125 (71.979)
Epoch: [30][4270/14090]	Time 0.806 (0.750)	Data 0.001 (0.002)	Loss 2.2686 (2.3714)	Prec@1 43.750 (41.558)	Prec@5 74.219 (71.984)
Epoch: [30][4280/14090]	Time 0.798 (0.750)	Data 0.001 (0.002)	Loss 2.4099 (2.3712)	Prec@1 39.844 (41.565)	Prec@5 71.875 (71.988)
Epoch: [30][4290/14090]	Time 0.732 (0.750)	Data 0.001 (0.002)	Loss 2.4020 (2.3708)	Prec@1 42.188 (41.572)	Prec@5 71.094 (71.995)
Epoch: [30][4300/14090]	Time 0.733 (0.750)	Data 0.001 (0.002)	Loss 2.5342 (2.3709)	Prec@1 44.531 (41.570)	Prec@5 68.750 (71.994)
Epoch: [30][4310/14090]	Time 0.749 (0.750)	Data 0.002 (0.002)	Loss 2.2565 (2.3708)	Prec@1 42.969 (41.568)	Prec@5 73.438 (72.000)
Epoch: [30][4320/14090]	Time 0.746 (0.750)	Data 0.001 (0.002)	Loss 2.4826 (2.3707)	Prec@1 46.094 (41.570)	Prec@5 71.094 (72.001)
Epoch: [30][4330/14090]	Time 0.724 (0.750)	Data 0.001 (0.002)	Loss 2.5331 (2.3705)	Prec@1 37.500 (41.569)	Prec@5 68.750 (72.005)
Epoch: [30][4340/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 2.3037 (2.3702)	Prec@1 41.406 (41.576)	Prec@5 71.094 (72.011)
Epoch: [30][4350/14090]	Time 0.724 (0.750)	Data 0.001 (0.002)	Loss 2.5733 (2.3700)	Prec@1 35.938 (41.579)	Prec@5 71.875 (72.016)
Epoch: [30][4360/14090]	Time 0.746 (0.750)	Data 0.001 (0.002)	Loss 2.1962 (2.3699)	Prec@1 46.875 (41.585)	Prec@5 72.656 (72.016)
Epoch: [30][4370/14090]	Time 0.757 (0.750)	Data 0.001 (0.002)	Loss 2.3440 (2.3697)	Prec@1 38.281 (41.585)	Prec@5 74.219 (72.019)
Epoch: [30][4380/14090]	Time 0.725 (0.750)	Data 0.003 (0.002)	Loss 2.4088 (2.3696)	Prec@1 35.156 (41.585)	Prec@5 69.531 (72.023)
Epoch: [30][4390/14090]	Time 0.739 (0.750)	Data 0.001 (0.002)	Loss 2.2882 (2.3696)	Prec@1 42.188 (41.582)	Prec@5 74.219 (72.021)
Epoch: [30][4400/14090]	Time 0.768 (0.750)	Data 0.001 (0.002)	Loss 1.9158 (2.3694)	Prec@1 50.000 (41.585)	Prec@5 78.906 (72.028)
Epoch: [30][4410/14090]	Time 0.732 (0.750)	Data 0.001 (0.002)	Loss 2.2612 (2.3691)	Prec@1 46.875 (41.593)	Prec@5 72.656 (72.031)
Epoch: [30][4420/14090]	Time 0.736 (0.750)	Data 0.001 (0.002)	Loss 2.3031 (2.3689)	Prec@1 42.188 (41.596)	Prec@5 74.219 (72.034)
Epoch: [30][4430/14090]	Time 0.734 (0.750)	Data 0.001 (0.002)	Loss 2.5209 (2.3689)	Prec@1 36.719 (41.598)	Prec@5 69.531 (72.033)
Epoch: [30][4440/14090]	Time 0.761 (0.750)	Data 0.001 (0.002)	Loss 2.5222 (2.3688)	Prec@1 32.031 (41.597)	Prec@5 68.750 (72.036)
Epoch: [30][4450/14090]	Time 0.745 (0.750)	Data 0.002 (0.002)	Loss 2.2297 (2.3685)	Prec@1 42.188 (41.602)	Prec@5 68.750 (72.043)
Epoch: [30][4460/14090]	Time 0.758 (0.750)	Data 0.001 (0.002)	Loss 2.6996 (2.3684)	Prec@1 35.938 (41.604)	Prec@5 65.625 (72.042)
Epoch: [30][4470/14090]	Time 0.758 (0.750)	Data 0.001 (0.002)	Loss 2.2815 (2.3683)	Prec@1 44.531 (41.605)	Prec@5 72.656 (72.042)
Epoch: [30][4480/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 2.5318 (2.3683)	Prec@1 33.594 (41.606)	Prec@5 71.094 (72.042)
Epoch: [30][4490/14090]	Time 0.753 (0.750)	Data 0.001 (0.002)	Loss 2.1251 (2.3683)	Prec@1 46.875 (41.608)	Prec@5 78.906 (72.039)
Epoch: [30][4500/14090]	Time 0.742 (0.750)	Data 0.001 (0.002)	Loss 2.2749 (2.3681)	Prec@1 44.531 (41.613)	Prec@5 71.094 (72.042)
Epoch: [30][4510/14090]	Time 0.734 (0.750)	Data 0.001 (0.002)	Loss 2.3883 (2.3680)	Prec@1 39.844 (41.618)	Prec@5 68.750 (72.045)
Epoch: [30][4520/14090]	Time 0.754 (0.750)	Data 0.002 (0.002)	Loss 2.0031 (2.3680)	Prec@1 44.531 (41.618)	Prec@5 76.562 (72.047)
Epoch: [30][4530/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 1.9854 (2.3678)	Prec@1 47.656 (41.618)	Prec@5 78.906 (72.047)
Epoch: [30][4540/14090]	Time 0.729 (0.750)	Data 0.001 (0.002)	Loss 2.5027 (2.3680)	Prec@1 36.719 (41.620)	Prec@5 74.219 (72.049)
Epoch: [30][4550/14090]	Time 0.764 (0.750)	Data 0.001 (0.002)	Loss 2.3219 (2.3679)	Prec@1 37.500 (41.622)	Prec@5 71.875 (72.050)
Epoch: [30][4560/14090]	Time 0.760 (0.750)	Data 0.001 (0.002)	Loss 2.2825 (2.3676)	Prec@1 43.750 (41.630)	Prec@5 77.344 (72.056)
Epoch: [30][4570/14090]	Time 0.735 (0.750)	Data 0.001 (0.002)	Loss 2.7231 (2.3678)	Prec@1 36.719 (41.627)	Prec@5 67.188 (72.054)
Epoch: [30][4580/14090]	Time 0.760 (0.750)	Data 0.002 (0.002)	Loss 2.0425 (2.3676)	Prec@1 50.000 (41.630)	Prec@5 79.688 (72.062)
Epoch: [30][4590/14090]	Time 0.736 (0.750)	Data 0.002 (0.002)	Loss 2.0613 (2.3674)	Prec@1 46.094 (41.633)	Prec@5 76.562 (72.068)
Epoch: [30][4600/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 2.4646 (2.3672)	Prec@1 39.062 (41.638)	Prec@5 72.656 (72.075)
Epoch: [30][4610/14090]	Time 0.747 (0.750)	Data 0.001 (0.002)	Loss 2.4803 (2.3672)	Prec@1 40.625 (41.638)	Prec@5 68.750 (72.077)
Epoch: [30][4620/14090]	Time 0.742 (0.750)	Data 0.001 (0.002)	Loss 2.0789 (2.3669)	Prec@1 46.094 (41.642)	Prec@5 78.906 (72.080)
Epoch: [30][4630/14090]	Time 0.728 (0.750)	Data 0.001 (0.002)	Loss 2.2188 (2.3669)	Prec@1 44.531 (41.642)	Prec@5 74.219 (72.081)
Epoch: [30][4640/14090]	Time 0.746 (0.750)	Data 0.001 (0.002)	Loss 2.4000 (2.3668)	Prec@1 44.531 (41.645)	Prec@5 68.750 (72.083)
Epoch: [30][4650/14090]	Time 0.751 (0.750)	Data 0.002 (0.002)	Loss 2.4139 (2.3665)	Prec@1 37.500 (41.651)	Prec@5 71.094 (72.084)
Epoch: [30][4660/14090]	Time 0.753 (0.750)	Data 0.002 (0.002)	Loss 2.2603 (2.3664)	Prec@1 47.656 (41.653)	Prec@5 77.344 (72.088)
Epoch: [30][4670/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 2.6570 (2.3664)	Prec@1 39.844 (41.656)	Prec@5 64.062 (72.088)
Epoch: [30][4680/14090]	Time 0.734 (0.750)	Data 0.001 (0.002)	Loss 2.1440 (2.3663)	Prec@1 47.656 (41.657)	Prec@5 79.688 (72.090)
Epoch: [30][4690/14090]	Time 0.720 (0.750)	Data 0.001 (0.002)	Loss 2.2604 (2.3664)	Prec@1 42.969 (41.659)	Prec@5 74.219 (72.088)
Epoch: [30][4700/14090]	Time 0.748 (0.750)	Data 0.001 (0.002)	Loss 2.3707 (2.3664)	Prec@1 43.750 (41.655)	Prec@5 68.750 (72.089)
Epoch: [30][4710/14090]	Time 0.724 (0.750)	Data 0.001 (0.002)	Loss 1.9990 (2.3662)	Prec@1 53.125 (41.662)	Prec@5 77.344 (72.091)
Epoch: [30][4720/14090]	Time 0.762 (0.750)	Data 0.001 (0.002)	Loss 2.5199 (2.3661)	Prec@1 35.938 (41.664)	Prec@5 67.969 (72.090)
Epoch: [30][4730/14090]	Time 0.753 (0.750)	Data 0.002 (0.002)	Loss 2.3518 (2.3659)	Prec@1 42.969 (41.669)	Prec@5 75.000 (72.097)
Epoch: [30][4740/14090]	Time 0.779 (0.750)	Data 0.001 (0.002)	Loss 2.1044 (2.3657)	Prec@1 41.406 (41.670)	Prec@5 75.781 (72.098)
Epoch: [30][4750/14090]	Time 0.734 (0.750)	Data 0.001 (0.002)	Loss 2.3950 (2.3657)	Prec@1 40.625 (41.668)	Prec@5 72.656 (72.099)
Epoch: [30][4760/14090]	Time 0.753 (0.750)	Data 0.001 (0.002)	Loss 2.5141 (2.3658)	Prec@1 42.969 (41.668)	Prec@5 67.188 (72.097)
Epoch: [30][4770/14090]	Time 0.732 (0.750)	Data 0.001 (0.002)	Loss 2.7460 (2.3659)	Prec@1 33.594 (41.665)	Prec@5 66.406 (72.093)
Epoch: [30][4780/14090]	Time 0.723 (0.750)	Data 0.001 (0.002)	Loss 2.3664 (2.3660)	Prec@1 41.406 (41.667)	Prec@5 73.438 (72.094)
Epoch: [30][4790/14090]	Time 0.762 (0.750)	Data 0.001 (0.002)	Loss 2.1274 (2.3658)	Prec@1 48.438 (41.670)	Prec@5 75.000 (72.098)
Epoch: [30][4800/14090]	Time 0.754 (0.750)	Data 0.002 (0.002)	Loss 2.3763 (2.3657)	Prec@1 39.844 (41.669)	Prec@5 71.094 (72.099)
Epoch: [30][4810/14090]	Time 0.747 (0.750)	Data 0.001 (0.002)	Loss 2.2751 (2.3654)	Prec@1 43.750 (41.672)	Prec@5 74.219 (72.105)
Epoch: [30][4820/14090]	Time 0.733 (0.750)	Data 0.001 (0.002)	Loss 2.2603 (2.3651)	Prec@1 46.875 (41.677)	Prec@5 71.875 (72.110)
Epoch: [30][4830/14090]	Time 0.748 (0.750)	Data 0.001 (0.002)	Loss 2.1806 (2.3649)	Prec@1 46.094 (41.679)	Prec@5 73.438 (72.111)
Epoch: [30][4840/14090]	Time 0.766 (0.750)	Data 0.001 (0.002)	Loss 2.4398 (2.3646)	Prec@1 36.719 (41.682)	Prec@5 72.656 (72.117)
Epoch: [30][4850/14090]	Time 0.762 (0.750)	Data 0.001 (0.002)	Loss 2.3081 (2.3644)	Prec@1 39.062 (41.685)	Prec@5 75.000 (72.122)
Epoch: [30][4860/14090]	Time 0.741 (0.750)	Data 0.001 (0.002)	Loss 2.4836 (2.3642)	Prec@1 34.375 (41.685)	Prec@5 69.531 (72.126)
Epoch: [30][4870/14090]	Time 0.732 (0.750)	Data 0.002 (0.002)	Loss 2.1113 (2.3642)	Prec@1 46.875 (41.685)	Prec@5 78.125 (72.124)
Epoch: [30][4880/14090]	Time 0.764 (0.750)	Data 0.001 (0.002)	Loss 2.4225 (2.3642)	Prec@1 39.844 (41.685)	Prec@5 71.875 (72.126)
Epoch: [30][4890/14090]	Time 0.762 (0.750)	Data 0.001 (0.002)	Loss 2.0960 (2.3641)	Prec@1 46.875 (41.688)	Prec@5 75.000 (72.126)
Epoch: [30][4900/14090]	Time 0.757 (0.750)	Data 0.001 (0.002)	Loss 2.1390 (2.3637)	Prec@1 41.406 (41.690)	Prec@5 78.906 (72.133)
Epoch: [30][4910/14090]	Time 0.740 (0.750)	Data 0.001 (0.002)	Loss 2.4880 (2.3636)	Prec@1 35.938 (41.692)	Prec@5 71.875 (72.135)
Epoch: [30][4920/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 2.3942 (2.3635)	Prec@1 38.281 (41.691)	Prec@5 75.000 (72.135)
Epoch: [30][4930/14090]	Time 0.733 (0.750)	Data 0.001 (0.002)	Loss 2.4467 (2.3635)	Prec@1 36.719 (41.690)	Prec@5 67.969 (72.136)
Epoch: [30][4940/14090]	Time 0.755 (0.750)	Data 0.002 (0.002)	Loss 2.0968 (2.3633)	Prec@1 40.625 (41.689)	Prec@5 81.250 (72.141)
Epoch: [30][4950/14090]	Time 0.753 (0.750)	Data 0.001 (0.002)	Loss 2.3710 (2.3633)	Prec@1 37.500 (41.688)	Prec@5 70.312 (72.140)
Epoch: [30][4960/14090]	Time 0.734 (0.750)	Data 0.001 (0.002)	Loss 2.4020 (2.3631)	Prec@1 43.750 (41.692)	Prec@5 70.312 (72.144)
Epoch: [30][4970/14090]	Time 0.772 (0.750)	Data 0.001 (0.002)	Loss 2.1033 (2.3630)	Prec@1 46.875 (41.694)	Prec@5 75.000 (72.145)
Epoch: [30][4980/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 2.2009 (2.3628)	Prec@1 39.844 (41.696)	Prec@5 71.875 (72.148)
Epoch: [30][4990/14090]	Time 0.773 (0.750)	Data 0.001 (0.002)	Loss 2.2922 (2.3628)	Prec@1 47.656 (41.700)	Prec@5 74.219 (72.151)
Epoch: [30][5000/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 2.6835 (2.3627)	Prec@1 40.625 (41.702)	Prec@5 67.969 (72.152)
Epoch: [30][5010/14090]	Time 0.768 (0.750)	Data 0.002 (0.002)	Loss 2.3478 (2.3626)	Prec@1 36.719 (41.702)	Prec@5 67.188 (72.152)
Epoch: [30][5020/14090]	Time 0.760 (0.750)	Data 0.001 (0.002)	Loss 2.4455 (2.3625)	Prec@1 39.844 (41.706)	Prec@5 72.656 (72.155)
Epoch: [30][5030/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 2.1955 (2.3626)	Prec@1 45.312 (41.707)	Prec@5 71.094 (72.154)
Epoch: [30][5040/14090]	Time 0.726 (0.750)	Data 0.001 (0.002)	Loss 2.3459 (2.3624)	Prec@1 45.312 (41.712)	Prec@5 77.344 (72.159)
Epoch: [30][5050/14090]	Time 0.738 (0.750)	Data 0.001 (0.002)	Loss 2.1237 (2.3624)	Prec@1 45.312 (41.713)	Prec@5 81.250 (72.160)
Epoch: [30][5060/14090]	Time 0.736 (0.750)	Data 0.001 (0.002)	Loss 2.1838 (2.3620)	Prec@1 44.531 (41.719)	Prec@5 72.656 (72.165)
Epoch: [30][5070/14090]	Time 0.743 (0.750)	Data 0.001 (0.002)	Loss 2.1993 (2.3620)	Prec@1 41.406 (41.721)	Prec@5 75.000 (72.166)
Epoch: [30][5080/14090]	Time 0.747 (0.750)	Data 0.002 (0.002)	Loss 2.4738 (2.3618)	Prec@1 46.094 (41.726)	Prec@5 69.531 (72.169)
Epoch: [30][5090/14090]	Time 0.738 (0.750)	Data 0.001 (0.002)	Loss 2.2871 (2.3617)	Prec@1 47.656 (41.727)	Prec@5 72.656 (72.174)
Epoch: [30][5100/14090]	Time 0.746 (0.750)	Data 0.001 (0.002)	Loss 2.4133 (2.3615)	Prec@1 35.156 (41.729)	Prec@5 75.000 (72.178)
Epoch: [30][5110/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 2.2803 (2.3615)	Prec@1 44.531 (41.726)	Prec@5 75.781 (72.180)
Epoch: [30][5120/14090]	Time 0.743 (0.750)	Data 0.001 (0.002)	Loss 2.3658 (2.3614)	Prec@1 40.625 (41.728)	Prec@5 71.875 (72.183)
Epoch: [30][5130/14090]	Time 0.778 (0.750)	Data 0.001 (0.002)	Loss 2.3731 (2.3612)	Prec@1 39.844 (41.734)	Prec@5 75.781 (72.190)
Epoch: [30][5140/14090]	Time 0.761 (0.750)	Data 0.001 (0.002)	Loss 2.6001 (2.3611)	Prec@1 39.844 (41.737)	Prec@5 66.406 (72.191)
Epoch: [30][5150/14090]	Time 0.726 (0.750)	Data 0.001 (0.002)	Loss 2.0528 (2.3610)	Prec@1 51.562 (41.740)	Prec@5 79.688 (72.194)
Epoch: [30][5160/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 2.7414 (2.3609)	Prec@1 39.062 (41.745)	Prec@5 66.406 (72.197)
Epoch: [30][5170/14090]	Time 0.765 (0.750)	Data 0.001 (0.002)	Loss 2.5993 (2.3608)	Prec@1 43.750 (41.746)	Prec@5 64.062 (72.198)
Epoch: [30][5180/14090]	Time 0.765 (0.750)	Data 0.001 (0.002)	Loss 2.1224 (2.3608)	Prec@1 44.531 (41.744)	Prec@5 76.562 (72.199)
Epoch: [30][5190/14090]	Time 0.730 (0.750)	Data 0.001 (0.002)	Loss 2.3372 (2.3608)	Prec@1 35.938 (41.743)	Prec@5 75.781 (72.199)
Epoch: [30][5200/14090]	Time 0.785 (0.750)	Data 0.001 (0.002)	Loss 2.2950 (2.3608)	Prec@1 46.875 (41.742)	Prec@5 75.000 (72.199)
Epoch: [30][5210/14090]	Time 0.751 (0.750)	Data 0.001 (0.002)	Loss 2.1167 (2.3604)	Prec@1 43.750 (41.749)	Prec@5 78.906 (72.207)
Epoch: [30][5220/14090]	Time 0.750 (0.750)	Data 0.002 (0.002)	Loss 2.4942 (2.3604)	Prec@1 32.812 (41.751)	Prec@5 71.094 (72.209)
Epoch: [30][5230/14090]	Time 0.733 (0.750)	Data 0.001 (0.002)	Loss 2.6289 (2.3605)	Prec@1 41.406 (41.751)	Prec@5 67.188 (72.208)
Epoch: [30][5240/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 2.4522 (2.3604)	Prec@1 39.062 (41.754)	Prec@5 72.656 (72.210)
Epoch: [30][5250/14090]	Time 0.757 (0.750)	Data 0.001 (0.002)	Loss 2.1850 (2.3601)	Prec@1 46.094 (41.760)	Prec@5 74.219 (72.213)
Epoch: [30][5260/14090]	Time 0.762 (0.750)	Data 0.001 (0.002)	Loss 2.1763 (2.3600)	Prec@1 46.094 (41.763)	Prec@5 70.312 (72.214)
Epoch: [30][5270/14090]	Time 0.744 (0.750)	Data 0.001 (0.002)	Loss 2.2596 (2.3601)	Prec@1 39.844 (41.761)	Prec@5 75.000 (72.214)
Epoch: [30][5280/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 2.2737 (2.3600)	Prec@1 50.000 (41.764)	Prec@5 69.531 (72.216)
Epoch: [30][5290/14090]	Time 0.748 (0.750)	Data 0.002 (0.002)	Loss 2.5247 (2.3600)	Prec@1 37.500 (41.766)	Prec@5 66.406 (72.213)
Epoch: [30][5300/14090]	Time 0.725 (0.750)	Data 0.001 (0.002)	Loss 2.5514 (2.3599)	Prec@1 43.750 (41.766)	Prec@5 69.531 (72.214)
Epoch: [30][5310/14090]	Time 0.748 (0.750)	Data 0.001 (0.002)	Loss 2.2768 (2.3598)	Prec@1 44.531 (41.770)	Prec@5 76.562 (72.218)
Epoch: [30][5320/14090]	Time 0.724 (0.750)	Data 0.001 (0.002)	Loss 2.3094 (2.3597)	Prec@1 48.438 (41.773)	Prec@5 69.531 (72.217)
Epoch: [30][5330/14090]	Time 0.724 (0.750)	Data 0.001 (0.002)	Loss 2.4492 (2.3597)	Prec@1 41.406 (41.771)	Prec@5 71.875 (72.216)
Epoch: [30][5340/14090]	Time 0.733 (0.750)	Data 0.001 (0.002)	Loss 2.4497 (2.3595)	Prec@1 39.844 (41.776)	Prec@5 71.094 (72.219)
Epoch: [30][5350/14090]	Time 0.732 (0.750)	Data 0.001 (0.002)	Loss 2.2300 (2.3593)	Prec@1 42.969 (41.779)	Prec@5 75.781 (72.226)
Epoch: [30][5360/14090]	Time 0.754 (0.750)	Data 0.002 (0.002)	Loss 2.2861 (2.3593)	Prec@1 47.656 (41.782)	Prec@5 73.438 (72.226)
Epoch: [30][5370/14090]	Time 0.774 (0.750)	Data 0.001 (0.002)	Loss 2.3164 (2.3593)	Prec@1 42.188 (41.779)	Prec@5 70.312 (72.227)
Epoch: [30][5380/14090]	Time 0.754 (0.750)	Data 0.001 (0.002)	Loss 2.2508 (2.3592)	Prec@1 41.406 (41.784)	Prec@5 72.656 (72.227)
Epoch: [30][5390/14090]	Time 0.753 (0.750)	Data 0.001 (0.002)	Loss 2.2439 (2.3590)	Prec@1 46.094 (41.790)	Prec@5 75.000 (72.231)
Epoch: [30][5400/14090]	Time 0.724 (0.750)	Data 0.001 (0.002)	Loss 2.0471 (2.3588)	Prec@1 50.781 (41.793)	Prec@5 75.000 (72.235)
Epoch: [30][5410/14090]	Time 0.767 (0.750)	Data 0.001 (0.002)	Loss 2.2812 (2.3587)	Prec@1 44.531 (41.795)	Prec@5 72.656 (72.236)
Epoch: [30][5420/14090]	Time 0.743 (0.750)	Data 0.001 (0.002)	Loss 2.2380 (2.3587)	Prec@1 39.844 (41.794)	Prec@5 76.562 (72.240)
Epoch: [30][5430/14090]	Time 0.766 (0.750)	Data 0.002 (0.002)	Loss 1.9416 (2.3586)	Prec@1 53.125 (41.794)	Prec@5 82.812 (72.239)
Epoch: [30][5440/14090]	Time 0.757 (0.750)	Data 0.001 (0.002)	Loss 2.4160 (2.3583)	Prec@1 39.062 (41.801)	Prec@5 71.094 (72.244)
Epoch: [30][5450/14090]	Time 0.733 (0.750)	Data 0.001 (0.002)	Loss 2.3617 (2.3583)	Prec@1 39.062 (41.798)	Prec@5 71.875 (72.247)
Epoch: [30][5460/14090]	Time 0.764 (0.750)	Data 0.001 (0.002)	Loss 2.3442 (2.3583)	Prec@1 44.531 (41.796)	Prec@5 75.781 (72.249)
Epoch: [30][5470/14090]	Time 0.728 (0.750)	Data 0.001 (0.002)	Loss 2.4798 (2.3582)	Prec@1 38.281 (41.798)	Prec@5 71.094 (72.251)
Epoch: [30][5480/14090]	Time 0.732 (0.750)	Data 0.001 (0.002)	Loss 2.2691 (2.3581)	Prec@1 45.312 (41.798)	Prec@5 71.875 (72.253)
Epoch: [30][5490/14090]	Time 0.744 (0.750)	Data 0.002 (0.002)	Loss 2.4530 (2.3579)	Prec@1 41.406 (41.800)	Prec@5 69.531 (72.256)
Epoch: [30][5500/14090]	Time 0.740 (0.750)	Data 0.002 (0.002)	Loss 2.0296 (2.3577)	Prec@1 50.781 (41.803)	Prec@5 75.781 (72.257)
Epoch: [30][5510/14090]	Time 0.731 (0.750)	Data 0.001 (0.002)	Loss 2.4350 (2.3576)	Prec@1 35.156 (41.804)	Prec@5 68.750 (72.259)
Epoch: [30][5520/14090]	Time 0.731 (0.750)	Data 0.001 (0.002)	Loss 2.4826 (2.3574)	Prec@1 38.281 (41.806)	Prec@5 72.656 (72.263)
Epoch: [30][5530/14090]	Time 0.755 (0.750)	Data 0.001 (0.002)	Loss 2.1109 (2.3575)	Prec@1 43.750 (41.806)	Prec@5 79.688 (72.264)
Epoch: [30][5540/14090]	Time 0.751 (0.750)	Data 0.001 (0.002)	Loss 2.3212 (2.3574)	Prec@1 41.406 (41.804)	Prec@5 75.000 (72.265)
Epoch: [30][5550/14090]	Time 0.729 (0.750)	Data 0.001 (0.002)	Loss 2.3689 (2.3574)	Prec@1 42.969 (41.804)	Prec@5 71.875 (72.265)
Epoch: [30][5560/14090]	Time 0.742 (0.750)	Data 0.001 (0.002)	Loss 2.1351 (2.3572)	Prec@1 40.625 (41.806)	Prec@5 78.125 (72.270)
Epoch: [30][5570/14090]	Time 0.737 (0.750)	Data 0.003 (0.002)	Loss 2.3164 (2.3573)	Prec@1 48.438 (41.804)	Prec@5 75.781 (72.271)
Epoch: [30][5580/14090]	Time 0.760 (0.750)	Data 0.001 (0.002)	Loss 2.1569 (2.3573)	Prec@1 42.969 (41.801)	Prec@5 74.219 (72.273)
Epoch: [30][5590/14090]	Time 0.765 (0.750)	Data 0.001 (0.002)	Loss 1.9144 (2.3573)	Prec@1 49.219 (41.802)	Prec@5 81.250 (72.274)
Epoch: [30][5600/14090]	Time 0.756 (0.750)	Data 0.001 (0.002)	Loss 2.4495 (2.3573)	Prec@1 43.750 (41.801)	Prec@5 70.312 (72.276)
Epoch: [30][5610/14090]	Time 0.756 (0.750)	Data 0.001 (0.002)	Loss 2.3506 (2.3572)	Prec@1 42.188 (41.802)	Prec@5 72.656 (72.279)
Epoch: [30][5620/14090]	Time 0.723 (0.750)	Data 0.001 (0.002)	Loss 2.3614 (2.3572)	Prec@1 47.656 (41.801)	Prec@5 74.219 (72.281)
Epoch: [30][5630/14090]	Time 0.732 (0.750)	Data 0.001 (0.002)	Loss 2.2892 (2.3570)	Prec@1 42.969 (41.803)	Prec@5 76.562 (72.284)
Epoch: [30][5640/14090]	Time 0.743 (0.750)	Data 0.002 (0.002)	Loss 2.2286 (2.3570)	Prec@1 42.969 (41.801)	Prec@5 71.875 (72.283)
Epoch: [30][5650/14090]	Time 0.751 (0.750)	Data 0.001 (0.002)	Loss 2.4249 (2.3570)	Prec@1 42.188 (41.801)	Prec@5 71.875 (72.284)
Epoch: [30][5660/14090]	Time 0.728 (0.750)	Data 0.001 (0.002)	Loss 2.4801 (2.3569)	Prec@1 44.531 (41.804)	Prec@5 67.188 (72.287)
Epoch: [30][5670/14090]	Time 0.777 (0.750)	Data 0.001 (0.002)	Loss 2.0782 (2.3568)	Prec@1 45.312 (41.805)	Prec@5 78.906 (72.289)
Epoch: [30][5680/14090]	Time 0.770 (0.750)	Data 0.001 (0.002)	Loss 2.2049 (2.3568)	Prec@1 49.219 (41.803)	Prec@5 77.344 (72.292)
Epoch: [30][5690/14090]	Time 0.756 (0.750)	Data 0.001 (0.002)	Loss 2.2351 (2.3568)	Prec@1 45.312 (41.804)	Prec@5 75.000 (72.292)
Epoch: [30][5700/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 2.4896 (2.3568)	Prec@1 35.938 (41.801)	Prec@5 69.531 (72.294)
Epoch: [30][5710/14090]	Time 0.781 (0.750)	Data 0.002 (0.002)	Loss 2.5428 (2.3566)	Prec@1 36.719 (41.801)	Prec@5 71.094 (72.297)
Epoch: [30][5720/14090]	Time 0.732 (0.750)	Data 0.001 (0.002)	Loss 2.3066 (2.3563)	Prec@1 43.750 (41.805)	Prec@5 75.000 (72.301)
Epoch: [30][5730/14090]	Time 0.728 (0.750)	Data 0.001 (0.002)	Loss 2.2809 (2.3562)	Prec@1 46.094 (41.805)	Prec@5 73.438 (72.303)
Epoch: [30][5740/14090]	Time 0.748 (0.750)	Data 0.001 (0.002)	Loss 2.2447 (2.3562)	Prec@1 50.000 (41.808)	Prec@5 74.219 (72.302)
Epoch: [30][5750/14090]	Time 0.772 (0.750)	Data 0.001 (0.002)	Loss 2.2293 (2.3561)	Prec@1 44.531 (41.809)	Prec@5 73.438 (72.304)
Epoch: [30][5760/14090]	Time 0.727 (0.750)	Data 0.001 (0.002)	Loss 2.3386 (2.3561)	Prec@1 39.844 (41.812)	Prec@5 71.094 (72.303)
Epoch: [30][5770/14090]	Time 0.723 (0.750)	Data 0.001 (0.002)	Loss 2.0249 (2.3561)	Prec@1 50.000 (41.813)	Prec@5 78.906 (72.304)
Epoch: [30][5780/14090]	Time 0.759 (0.750)	Data 0.003 (0.002)	Loss 2.2780 (2.3560)	Prec@1 41.406 (41.812)	Prec@5 75.781 (72.303)
Epoch: [30][5790/14090]	Time 0.766 (0.750)	Data 0.001 (0.002)	Loss 2.3668 (2.3559)	Prec@1 36.719 (41.812)	Prec@5 69.531 (72.305)
Epoch: [30][5800/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 2.2347 (2.3558)	Prec@1 39.844 (41.811)	Prec@5 72.656 (72.307)
Epoch: [30][5810/14090]	Time 0.754 (0.750)	Data 0.001 (0.002)	Loss 2.2625 (2.3556)	Prec@1 43.750 (41.816)	Prec@5 75.000 (72.309)
Epoch: [30][5820/14090]	Time 0.737 (0.750)	Data 0.001 (0.002)	Loss 2.0951 (2.3555)	Prec@1 42.188 (41.819)	Prec@5 75.000 (72.310)
Epoch: [30][5830/14090]	Time 0.763 (0.750)	Data 0.001 (0.002)	Loss 2.4075 (2.3554)	Prec@1 39.844 (41.822)	Prec@5 67.969 (72.312)
Epoch: [30][5840/14090]	Time 0.751 (0.750)	Data 0.004 (0.002)	Loss 2.7572 (2.3553)	Prec@1 37.500 (41.821)	Prec@5 62.500 (72.315)
Epoch: [30][5850/14090]	Time 0.782 (0.750)	Data 0.002 (0.002)	Loss 2.2004 (2.3553)	Prec@1 44.531 (41.822)	Prec@5 74.219 (72.316)
Epoch: [30][5860/14090]	Time 0.734 (0.750)	Data 0.001 (0.002)	Loss 2.1327 (2.3552)	Prec@1 49.219 (41.826)	Prec@5 75.781 (72.317)
Epoch: [30][5870/14090]	Time 0.722 (0.750)	Data 0.001 (0.002)	Loss 2.5119 (2.3552)	Prec@1 36.719 (41.823)	Prec@5 64.844 (72.318)
Epoch: [30][5880/14090]	Time 0.754 (0.750)	Data 0.001 (0.002)	Loss 2.4312 (2.3550)	Prec@1 44.531 (41.826)	Prec@5 69.531 (72.322)
Epoch: [30][5890/14090]	Time 0.748 (0.750)	Data 0.001 (0.002)	Loss 2.1309 (2.3548)	Prec@1 46.094 (41.829)	Prec@5 78.906 (72.324)
Epoch: [30][5900/14090]	Time 0.760 (0.750)	Data 0.001 (0.002)	Loss 2.3586 (2.3549)	Prec@1 44.531 (41.827)	Prec@5 72.656 (72.326)
Epoch: [30][5910/14090]	Time 0.733 (0.750)	Data 0.001 (0.002)	Loss 2.2213 (2.3548)	Prec@1 45.312 (41.829)	Prec@5 75.781 (72.327)
Epoch: [30][5920/14090]	Time 0.742 (0.750)	Data 0.002 (0.002)	Loss 2.1048 (2.3548)	Prec@1 48.438 (41.829)	Prec@5 74.219 (72.325)
Epoch: [30][5930/14090]	Time 0.758 (0.750)	Data 0.001 (0.002)	Loss 2.3967 (2.3547)	Prec@1 35.938 (41.829)	Prec@5 66.406 (72.325)
Epoch: [30][5940/14090]	Time 0.732 (0.750)	Data 0.001 (0.002)	Loss 2.3975 (2.3545)	Prec@1 43.750 (41.830)	Prec@5 69.531 (72.325)
Epoch: [30][5950/14090]	Time 0.731 (0.750)	Data 0.001 (0.002)	Loss 2.4446 (2.3544)	Prec@1 39.844 (41.833)	Prec@5 70.312 (72.326)
Epoch: [30][5960/14090]	Time 0.721 (0.750)	Data 0.001 (0.002)	Loss 2.3203 (2.3544)	Prec@1 43.750 (41.833)	Prec@5 75.781 (72.330)
Epoch: [30][5970/14090]	Time 0.779 (0.750)	Data 0.001 (0.002)	Loss 2.3215 (2.3544)	Prec@1 46.875 (41.835)	Prec@5 71.875 (72.330)
Epoch: [30][5980/14090]	Time 0.753 (0.750)	Data 0.001 (0.002)	Loss 2.2915 (2.3544)	Prec@1 45.312 (41.834)	Prec@5 78.125 (72.329)
Epoch: [30][5990/14090]	Time 0.743 (0.750)	Data 0.002 (0.002)	Loss 2.2558 (2.3545)	Prec@1 43.750 (41.834)	Prec@5 72.656 (72.328)
Epoch: [30][6000/14090]	Time 0.770 (0.750)	Data 0.001 (0.002)	Loss 2.2043 (2.3542)	Prec@1 39.844 (41.835)	Prec@5 78.125 (72.333)
Epoch: [30][6010/14090]	Time 0.730 (0.750)	Data 0.001 (0.002)	Loss 2.3044 (2.3541)	Prec@1 36.719 (41.839)	Prec@5 75.000 (72.336)
Epoch: [30][6020/14090]	Time 0.751 (0.750)	Data 0.001 (0.002)	Loss 2.3214 (2.3540)	Prec@1 42.188 (41.842)	Prec@5 75.781 (72.338)
Epoch: [30][6030/14090]	Time 0.741 (0.750)	Data 0.001 (0.002)	Loss 2.4582 (2.3539)	Prec@1 42.188 (41.846)	Prec@5 67.969 (72.338)
Epoch: [30][6040/14090]	Time 0.736 (0.750)	Data 0.001 (0.002)	Loss 2.1914 (2.3539)	Prec@1 46.875 (41.843)	Prec@5 75.781 (72.341)
Epoch: [30][6050/14090]	Time 0.754 (0.750)	Data 0.001 (0.002)	Loss 2.6449 (2.3539)	Prec@1 31.250 (41.839)	Prec@5 65.625 (72.343)
Epoch: [30][6060/14090]	Time 0.750 (0.750)	Data 0.002 (0.002)	Loss 2.1583 (2.3537)	Prec@1 44.531 (41.842)	Prec@5 76.562 (72.346)
Epoch: [30][6070/14090]	Time 0.769 (0.750)	Data 0.001 (0.002)	Loss 2.3581 (2.3535)	Prec@1 38.281 (41.844)	Prec@5 75.781 (72.350)
Epoch: [30][6080/14090]	Time 0.733 (0.750)	Data 0.001 (0.002)	Loss 2.1083 (2.3533)	Prec@1 46.094 (41.848)	Prec@5 79.688 (72.355)
Epoch: [30][6090/14090]	Time 0.768 (0.750)	Data 0.001 (0.002)	Loss 2.3392 (2.3533)	Prec@1 38.281 (41.850)	Prec@5 75.000 (72.355)
Epoch: [30][6100/14090]	Time 0.807 (0.750)	Data 0.001 (0.002)	Loss 2.4785 (2.3532)	Prec@1 39.844 (41.850)	Prec@5 69.531 (72.355)
Epoch: [30][6110/14090]	Time 0.754 (0.750)	Data 0.001 (0.002)	Loss 2.5475 (2.3533)	Prec@1 34.375 (41.847)	Prec@5 60.938 (72.352)
Epoch: [30][6120/14090]	Time 0.736 (0.750)	Data 0.001 (0.002)	Loss 2.4939 (2.3533)	Prec@1 38.281 (41.848)	Prec@5 67.188 (72.350)
Epoch: [30][6130/14090]	Time 0.730 (0.750)	Data 0.002 (0.002)	Loss 2.3456 (2.3532)	Prec@1 41.406 (41.850)	Prec@5 72.656 (72.352)
Epoch: [30][6140/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 2.3373 (2.3531)	Prec@1 45.312 (41.850)	Prec@5 72.656 (72.355)
Epoch: [30][6150/14090]	Time 0.727 (0.750)	Data 0.001 (0.002)	Loss 2.4917 (2.3531)	Prec@1 46.875 (41.853)	Prec@5 72.656 (72.356)
Epoch: [30][6160/14090]	Time 0.747 (0.750)	Data 0.001 (0.002)	Loss 2.4131 (2.3530)	Prec@1 39.844 (41.855)	Prec@5 70.312 (72.359)
Epoch: [30][6170/14090]	Time 0.764 (0.750)	Data 0.001 (0.002)	Loss 2.1937 (2.3529)	Prec@1 44.531 (41.856)	Prec@5 77.344 (72.362)
Epoch: [30][6180/14090]	Time 0.725 (0.750)	Data 0.001 (0.002)	Loss 2.5358 (2.3529)	Prec@1 39.062 (41.857)	Prec@5 73.438 (72.364)
Epoch: [30][6190/14090]	Time 0.728 (0.750)	Data 0.001 (0.002)	Loss 2.5405 (2.3530)	Prec@1 40.625 (41.855)	Prec@5 67.188 (72.362)
Epoch: [30][6200/14090]	Time 0.761 (0.750)	Data 0.002 (0.002)	Loss 2.1636 (2.3528)	Prec@1 49.219 (41.859)	Prec@5 75.000 (72.363)
Epoch: [30][6210/14090]	Time 0.763 (0.750)	Data 0.001 (0.002)	Loss 2.1816 (2.3528)	Prec@1 51.562 (41.860)	Prec@5 78.906 (72.362)
Epoch: [30][6220/14090]	Time 0.763 (0.750)	Data 0.001 (0.002)	Loss 2.2344 (2.3527)	Prec@1 42.188 (41.862)	Prec@5 75.781 (72.364)
Epoch: [30][6230/14090]	Time 0.748 (0.750)	Data 0.001 (0.002)	Loss 2.0151 (2.3525)	Prec@1 53.125 (41.865)	Prec@5 72.656 (72.367)
Epoch: [30][6240/14090]	Time 0.731 (0.750)	Data 0.001 (0.002)	Loss 2.4454 (2.3525)	Prec@1 39.062 (41.867)	Prec@5 73.438 (72.368)
Epoch: [30][6250/14090]	Time 0.759 (0.750)	Data 0.001 (0.002)	Loss 2.2062 (2.3523)	Prec@1 43.750 (41.869)	Prec@5 78.125 (72.372)
Epoch: [30][6260/14090]	Time 0.753 (0.750)	Data 0.001 (0.002)	Loss 2.2827 (2.3523)	Prec@1 45.312 (41.868)	Prec@5 75.781 (72.372)
Epoch: [30][6270/14090]	Time 0.771 (0.750)	Data 0.002 (0.002)	Loss 2.6588 (2.3522)	Prec@1 35.156 (41.868)	Prec@5 67.188 (72.373)
Epoch: [30][6280/14090]	Time 0.782 (0.750)	Data 0.001 (0.002)	Loss 2.5244 (2.3521)	Prec@1 37.500 (41.871)	Prec@5 67.188 (72.377)
Epoch: [30][6290/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 2.8304 (2.3521)	Prec@1 34.375 (41.873)	Prec@5 64.844 (72.376)
Epoch: [30][6300/14090]	Time 0.728 (0.750)	Data 0.001 (0.002)	Loss 2.2396 (2.3520)	Prec@1 36.719 (41.876)	Prec@5 71.875 (72.376)
Epoch: [30][6310/14090]	Time 0.742 (0.750)	Data 0.001 (0.002)	Loss 2.4910 (2.3519)	Prec@1 39.062 (41.877)	Prec@5 64.062 (72.374)
Epoch: [30][6320/14090]	Time 0.741 (0.750)	Data 0.001 (0.002)	Loss 2.2234 (2.3518)	Prec@1 49.219 (41.878)	Prec@5 73.438 (72.377)
Epoch: [30][6330/14090]	Time 0.729 (0.750)	Data 0.001 (0.002)	Loss 2.4258 (2.3518)	Prec@1 43.750 (41.882)	Prec@5 67.188 (72.379)
Epoch: [30][6340/14090]	Time 0.744 (0.750)	Data 0.002 (0.002)	Loss 2.1398 (2.3516)	Prec@1 51.562 (41.888)	Prec@5 77.344 (72.382)
Epoch: [30][6350/14090]	Time 0.763 (0.750)	Data 0.001 (0.002)	Loss 2.5397 (2.3514)	Prec@1 35.156 (41.890)	Prec@5 73.438 (72.387)
Epoch: [30][6360/14090]	Time 0.724 (0.750)	Data 0.001 (0.002)	Loss 2.1586 (2.3512)	Prec@1 39.844 (41.894)	Prec@5 76.562 (72.392)
Epoch: [30][6370/14090]	Time 0.761 (0.750)	Data 0.001 (0.002)	Loss 2.3220 (2.3510)	Prec@1 42.188 (41.899)	Prec@5 69.531 (72.394)
Epoch: [30][6380/14090]	Time 0.748 (0.750)	Data 0.001 (0.002)	Loss 2.4483 (2.3511)	Prec@1 39.062 (41.898)	Prec@5 69.531 (72.392)
Epoch: [30][6390/14090]	Time 0.743 (0.750)	Data 0.001 (0.002)	Loss 2.4994 (2.3510)	Prec@1 35.156 (41.897)	Prec@5 71.094 (72.392)
Epoch: [30][6400/14090]	Time 0.745 (0.750)	Data 0.001 (0.002)	Loss 2.1076 (2.3509)	Prec@1 53.125 (41.902)	Prec@5 78.906 (72.396)
Epoch: [30][6410/14090]	Time 0.783 (0.750)	Data 0.002 (0.002)	Loss 2.1872 (2.3509)	Prec@1 46.875 (41.904)	Prec@5 72.656 (72.395)
Epoch: [30][6420/14090]	Time 0.729 (0.750)	Data 0.001 (0.002)	Loss 2.2124 (2.3509)	Prec@1 40.625 (41.904)	Prec@5 72.656 (72.396)
Epoch: [30][6430/14090]	Time 0.781 (0.750)	Data 0.001 (0.002)	Loss 2.3480 (2.3508)	Prec@1 39.062 (41.903)	Prec@5 75.000 (72.399)
Epoch: [30][6440/14090]	Time 0.741 (0.750)	Data 0.001 (0.002)	Loss 2.1095 (2.3507)	Prec@1 43.750 (41.907)	Prec@5 78.906 (72.402)
Epoch: [30][6450/14090]	Time 0.730 (0.750)	Data 0.001 (0.002)	Loss 2.4666 (2.3506)	Prec@1 39.844 (41.908)	Prec@5 71.094 (72.405)
Epoch: [30][6460/14090]	Time 0.741 (0.750)	Data 0.001 (0.002)	Loss 2.2759 (2.3506)	Prec@1 46.875 (41.911)	Prec@5 75.781 (72.408)
Epoch: [30][6470/14090]	Time 0.731 (0.750)	Data 0.001 (0.002)	Loss 2.4403 (2.3505)	Prec@1 39.062 (41.913)	Prec@5 68.750 (72.407)
Epoch: [30][6480/14090]	Time 0.755 (0.750)	Data 0.002 (0.002)	Loss 2.7132 (2.3507)	Prec@1 38.281 (41.909)	Prec@5 65.625 (72.406)
Epoch: [30][6490/14090]	Time 0.759 (0.750)	Data 0.001 (0.002)	Loss 2.2095 (2.3506)	Prec@1 47.656 (41.911)	Prec@5 75.000 (72.407)
Epoch: [30][6500/14090]	Time 0.741 (0.750)	Data 0.001 (0.002)	Loss 2.1442 (2.3505)	Prec@1 45.312 (41.915)	Prec@5 75.000 (72.411)
Epoch: [30][6510/14090]	Time 0.741 (0.750)	Data 0.001 (0.002)	Loss 2.2218 (2.3504)	Prec@1 43.750 (41.915)	Prec@5 75.781 (72.411)
Epoch: [30][6520/14090]	Time 0.747 (0.750)	Data 0.001 (0.002)	Loss 2.3600 (2.3504)	Prec@1 42.188 (41.913)	Prec@5 71.094 (72.412)
Epoch: [30][6530/14090]	Time 0.728 (0.750)	Data 0.001 (0.002)	Loss 2.3795 (2.3504)	Prec@1 36.719 (41.913)	Prec@5 65.625 (72.413)
Epoch: [30][6540/14090]	Time 0.732 (0.750)	Data 0.001 (0.002)	Loss 2.5115 (2.3503)	Prec@1 38.281 (41.914)	Prec@5 74.219 (72.415)
Epoch: [30][6550/14090]	Time 0.742 (0.750)	Data 0.002 (0.002)	Loss 2.3808 (2.3502)	Prec@1 41.406 (41.917)	Prec@5 71.094 (72.418)
Epoch: [30][6560/14090]	Time 0.731 (0.750)	Data 0.001 (0.002)	Loss 2.2186 (2.3501)	Prec@1 42.969 (41.918)	Prec@5 73.438 (72.421)
Epoch: [30][6570/14090]	Time 0.787 (0.750)	Data 0.001 (0.002)	Loss 2.5668 (2.3501)	Prec@1 40.625 (41.919)	Prec@5 70.312 (72.421)
Epoch: [30][6580/14090]	Time 0.735 (0.750)	Data 0.001 (0.002)	Loss 2.4410 (2.3501)	Prec@1 39.844 (41.918)	Prec@5 69.531 (72.420)
Epoch: [30][6590/14090]	Time 0.731 (0.750)	Data 0.001 (0.002)	Loss 2.1040 (2.3500)	Prec@1 41.406 (41.920)	Prec@5 81.250 (72.425)
Epoch: [30][6600/14090]	Time 0.739 (0.750)	Data 0.001 (0.002)	Loss 2.3483 (2.3500)	Prec@1 44.531 (41.920)	Prec@5 73.438 (72.421)
Epoch: [30][6610/14090]	Time 0.744 (0.750)	Data 0.001 (0.002)	Loss 2.4924 (2.3499)	Prec@1 36.719 (41.920)	Prec@5 72.656 (72.424)
Epoch: [30][6620/14090]	Time 0.740 (0.750)	Data 0.002 (0.002)	Loss 2.3107 (2.3497)	Prec@1 39.062 (41.921)	Prec@5 75.000 (72.427)
Epoch: [30][6630/14090]	Time 0.743 (0.750)	Data 0.001 (0.002)	Loss 2.3863 (2.3496)	Prec@1 42.188 (41.926)	Prec@5 71.875 (72.432)
Epoch: [30][6640/14090]	Time 0.769 (0.750)	Data 0.001 (0.002)	Loss 2.4302 (2.3495)	Prec@1 44.531 (41.929)	Prec@5 67.188 (72.433)
Epoch: [30][6650/14090]	Time 0.751 (0.750)	Data 0.001 (0.002)	Loss 2.6335 (2.3496)	Prec@1 37.500 (41.926)	Prec@5 64.062 (72.432)
Epoch: [30][6660/14090]	Time 0.742 (0.750)	Data 0.001 (0.002)	Loss 2.2409 (2.3496)	Prec@1 46.875 (41.926)	Prec@5 74.219 (72.430)
Epoch: [30][6670/14090]	Time 0.747 (0.750)	Data 0.001 (0.002)	Loss 2.1501 (2.3494)	Prec@1 43.750 (41.928)	Prec@5 77.344 (72.433)
Epoch: [30][6680/14090]	Time 0.726 (0.750)	Data 0.001 (0.002)	Loss 2.1728 (2.3493)	Prec@1 42.188 (41.928)	Prec@5 76.562 (72.435)
Epoch: [30][6690/14090]	Time 0.738 (0.750)	Data 0.002 (0.002)	Loss 2.3914 (2.3492)	Prec@1 42.188 (41.931)	Prec@5 71.094 (72.436)
Epoch: [30][6700/14090]	Time 0.753 (0.750)	Data 0.001 (0.002)	Loss 2.6651 (2.3491)	Prec@1 36.719 (41.933)	Prec@5 67.969 (72.437)
Epoch: [30][6710/14090]	Time 0.760 (0.750)	Data 0.001 (0.002)	Loss 2.2550 (2.3491)	Prec@1 46.094 (41.935)	Prec@5 71.094 (72.437)
Epoch: [30][6720/14090]	Time 0.723 (0.750)	Data 0.001 (0.002)	Loss 2.4336 (2.3491)	Prec@1 42.188 (41.936)	Prec@5 70.312 (72.436)
Epoch: [30][6730/14090]	Time 0.733 (0.750)	Data 0.001 (0.002)	Loss 1.9989 (2.3489)	Prec@1 48.438 (41.939)	Prec@5 77.344 (72.439)
Epoch: [30][6740/14090]	Time 0.737 (0.750)	Data 0.001 (0.002)	Loss 2.4173 (2.3490)	Prec@1 42.969 (41.938)	Prec@5 75.000 (72.440)
Epoch: [30][6750/14090]	Time 0.737 (0.750)	Data 0.001 (0.002)	Loss 2.2857 (2.3487)	Prec@1 46.094 (41.944)	Prec@5 69.531 (72.442)
Epoch: [30][6760/14090]	Time 0.755 (0.750)	Data 0.002 (0.002)	Loss 2.3529 (2.3486)	Prec@1 38.281 (41.945)	Prec@5 72.656 (72.445)
Epoch: [30][6770/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 2.4002 (2.3486)	Prec@1 39.062 (41.944)	Prec@5 70.312 (72.446)
Epoch: [30][6780/14090]	Time 0.728 (0.750)	Data 0.001 (0.002)	Loss 2.6516 (2.3487)	Prec@1 35.156 (41.943)	Prec@5 67.969 (72.445)
Epoch: [30][6790/14090]	Time 0.768 (0.750)	Data 0.001 (0.002)	Loss 2.0950 (2.3485)	Prec@1 48.438 (41.946)	Prec@5 76.562 (72.448)
Epoch: [30][6800/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 2.3024 (2.3484)	Prec@1 42.188 (41.949)	Prec@5 69.531 (72.450)
Epoch: [30][6810/14090]	Time 0.747 (0.750)	Data 0.001 (0.002)	Loss 2.1266 (2.3483)	Prec@1 48.438 (41.954)	Prec@5 79.688 (72.455)
Epoch: [30][6820/14090]	Time 0.728 (0.750)	Data 0.001 (0.002)	Loss 2.1880 (2.3481)	Prec@1 44.531 (41.957)	Prec@5 74.219 (72.458)
Epoch: [30][6830/14090]	Time 0.742 (0.750)	Data 0.002 (0.002)	Loss 2.4648 (2.3481)	Prec@1 38.281 (41.958)	Prec@5 71.094 (72.458)
Epoch: [30][6840/14090]	Time 0.742 (0.750)	Data 0.001 (0.002)	Loss 2.1473 (2.3479)	Prec@1 39.844 (41.962)	Prec@5 75.000 (72.459)
Epoch: [30][6850/14090]	Time 0.773 (0.750)	Data 0.001 (0.002)	Loss 2.1866 (2.3480)	Prec@1 41.406 (41.962)	Prec@5 73.438 (72.459)
Epoch: [30][6860/14090]	Time 0.765 (0.750)	Data 0.001 (0.002)	Loss 2.0479 (2.3478)	Prec@1 43.750 (41.963)	Prec@5 79.688 (72.464)
Epoch: [30][6870/14090]	Time 0.763 (0.750)	Data 0.001 (0.002)	Loss 2.2311 (2.3478)	Prec@1 46.875 (41.965)	Prec@5 71.094 (72.463)
Epoch: [30][6880/14090]	Time 0.744 (0.750)	Data 0.001 (0.002)	Loss 2.6432 (2.3478)	Prec@1 35.156 (41.966)	Prec@5 70.312 (72.463)
Epoch: [30][6890/14090]	Time 0.756 (0.750)	Data 0.001 (0.002)	Loss 2.1800 (2.3478)	Prec@1 44.531 (41.964)	Prec@5 78.906 (72.463)
Epoch: [30][6900/14090]	Time 0.733 (0.750)	Data 0.002 (0.002)	Loss 2.2401 (2.3477)	Prec@1 39.062 (41.966)	Prec@5 73.438 (72.465)
Epoch: [30][6910/14090]	Time 0.736 (0.750)	Data 0.001 (0.002)	Loss 1.9900 (2.3476)	Prec@1 48.438 (41.967)	Prec@5 82.031 (72.469)
Epoch: [30][6920/14090]	Time 0.763 (0.750)	Data 0.001 (0.002)	Loss 2.0191 (2.3474)	Prec@1 45.312 (41.972)	Prec@5 75.000 (72.472)
Epoch: [30][6930/14090]	Time 0.785 (0.750)	Data 0.002 (0.002)	Loss 2.4187 (2.3474)	Prec@1 42.969 (41.973)	Prec@5 74.219 (72.474)
Epoch: [30][6940/14090]	Time 0.751 (0.750)	Data 0.001 (0.002)	Loss 2.1215 (2.3473)	Prec@1 48.438 (41.977)	Prec@5 75.781 (72.474)
Epoch: [30][6950/14090]	Time 0.746 (0.750)	Data 0.001 (0.002)	Loss 2.2455 (2.3472)	Prec@1 45.312 (41.977)	Prec@5 71.875 (72.475)
Epoch: [30][6960/14090]	Time 0.748 (0.750)	Data 0.001 (0.002)	Loss 2.3165 (2.3472)	Prec@1 41.406 (41.978)	Prec@5 74.219 (72.476)
Epoch: [30][6970/14090]	Time 0.736 (0.750)	Data 0.002 (0.002)	Loss 2.3877 (2.3471)	Prec@1 41.406 (41.980)	Prec@5 68.750 (72.476)
Epoch: [30][6980/14090]	Time 0.776 (0.750)	Data 0.001 (0.002)	Loss 2.3481 (2.3471)	Prec@1 41.406 (41.979)	Prec@5 71.094 (72.474)
Epoch: [30][6990/14090]	Time 0.740 (0.750)	Data 0.001 (0.002)	Loss 1.8624 (2.3469)	Prec@1 50.781 (41.984)	Prec@5 82.031 (72.479)
Epoch: [30][7000/14090]	Time 0.743 (0.750)	Data 0.001 (0.002)	Loss 2.2288 (2.3468)	Prec@1 45.312 (41.985)	Prec@5 69.531 (72.482)
Epoch: [30][7010/14090]	Time 0.726 (0.750)	Data 0.001 (0.002)	Loss 2.2606 (2.3467)	Prec@1 46.875 (41.986)	Prec@5 74.219 (72.484)
Epoch: [30][7020/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 2.2830 (2.3465)	Prec@1 42.188 (41.991)	Prec@5 76.562 (72.489)
Epoch: [30][7030/14090]	Time 0.744 (0.750)	Data 0.001 (0.002)	Loss 2.1376 (2.3464)	Prec@1 38.281 (41.993)	Prec@5 78.906 (72.492)
Epoch: [30][7040/14090]	Time 0.743 (0.750)	Data 0.002 (0.002)	Loss 2.4660 (2.3464)	Prec@1 42.188 (41.994)	Prec@5 70.312 (72.491)
Epoch: [30][7050/14090]	Time 0.753 (0.750)	Data 0.001 (0.002)	Loss 2.2830 (2.3463)	Prec@1 46.875 (41.997)	Prec@5 75.000 (72.494)
Epoch: [30][7060/14090]	Time 0.731 (0.750)	Data 0.001 (0.002)	Loss 2.2511 (2.3461)	Prec@1 47.656 (41.999)	Prec@5 73.438 (72.498)
Epoch: [30][7070/14090]	Time 0.763 (0.750)	Data 0.002 (0.002)	Loss 2.1232 (2.3460)	Prec@1 43.750 (42.001)	Prec@5 77.344 (72.503)
Epoch: [30][7080/14090]	Time 0.734 (0.750)	Data 0.001 (0.002)	Loss 2.1438 (2.3460)	Prec@1 45.312 (42.002)	Prec@5 75.000 (72.505)
Epoch: [30][7090/14090]	Time 0.764 (0.750)	Data 0.001 (0.002)	Loss 2.1546 (2.3458)	Prec@1 46.875 (42.005)	Prec@5 72.656 (72.508)
Epoch: [30][7100/14090]	Time 0.738 (0.750)	Data 0.001 (0.002)	Loss 2.0951 (2.3458)	Prec@1 48.438 (42.004)	Prec@5 78.906 (72.509)
Epoch: [30][7110/14090]	Time 0.744 (0.750)	Data 0.002 (0.002)	Loss 2.1618 (2.3458)	Prec@1 45.312 (42.003)	Prec@5 75.781 (72.507)
Epoch: [30][7120/14090]	Time 0.755 (0.750)	Data 0.001 (0.002)	Loss 2.2917 (2.3457)	Prec@1 44.531 (42.007)	Prec@5 73.438 (72.507)
Epoch: [30][7130/14090]	Time 0.729 (0.750)	Data 0.001 (0.002)	Loss 2.0715 (2.3457)	Prec@1 43.750 (42.008)	Prec@5 75.781 (72.508)
Epoch: [30][7140/14090]	Time 0.777 (0.750)	Data 0.001 (0.002)	Loss 2.1783 (2.3456)	Prec@1 42.188 (42.008)	Prec@5 72.656 (72.509)
Epoch: [30][7150/14090]	Time 0.782 (0.750)	Data 0.001 (0.002)	Loss 2.2985 (2.3455)	Prec@1 43.750 (42.011)	Prec@5 70.312 (72.513)
Epoch: [30][7160/14090]	Time 0.745 (0.750)	Data 0.001 (0.002)	Loss 2.3253 (2.3454)	Prec@1 42.188 (42.012)	Prec@5 75.781 (72.515)
Epoch: [30][7170/14090]	Time 0.731 (0.750)	Data 0.001 (0.002)	Loss 2.2243 (2.3455)	Prec@1 45.312 (42.010)	Prec@5 74.219 (72.515)
Epoch: [30][7180/14090]	Time 0.753 (0.750)	Data 0.002 (0.002)	Loss 2.1279 (2.3453)	Prec@1 44.531 (42.012)	Prec@5 81.250 (72.518)
Epoch: [30][7190/14090]	Time 0.761 (0.750)	Data 0.001 (0.002)	Loss 2.2997 (2.3453)	Prec@1 42.188 (42.012)	Prec@5 75.000 (72.518)
Epoch: [30][7200/14090]	Time 0.747 (0.750)	Data 0.001 (0.002)	Loss 2.2290 (2.3452)	Prec@1 42.188 (42.014)	Prec@5 78.906 (72.521)
Epoch: [30][7210/14090]	Time 0.734 (0.750)	Data 0.001 (0.002)	Loss 2.2520 (2.3452)	Prec@1 48.438 (42.017)	Prec@5 74.219 (72.522)
Epoch: [30][7220/14090]	Time 0.727 (0.750)	Data 0.001 (0.002)	Loss 2.4575 (2.3452)	Prec@1 39.844 (42.017)	Prec@5 68.750 (72.521)
Epoch: [30][7230/14090]	Time 0.740 (0.750)	Data 0.002 (0.002)	Loss 2.3001 (2.3452)	Prec@1 40.625 (42.016)	Prec@5 78.125 (72.521)
Epoch: [30][7240/14090]	Time 0.748 (0.750)	Data 0.001 (0.002)	Loss 1.8958 (2.3451)	Prec@1 50.781 (42.019)	Prec@5 81.250 (72.521)
Epoch: [30][7250/14090]	Time 0.758 (0.750)	Data 0.002 (0.002)	Loss 2.5691 (2.3453)	Prec@1 38.281 (42.015)	Prec@5 74.219 (72.519)
Epoch: [30][7260/14090]	Time 0.729 (0.750)	Data 0.001 (0.002)	Loss 2.2390 (2.3453)	Prec@1 46.875 (42.016)	Prec@5 75.781 (72.520)
Epoch: [30][7270/14090]	Time 0.745 (0.750)	Data 0.001 (0.002)	Loss 2.3198 (2.3452)	Prec@1 38.281 (42.017)	Prec@5 71.094 (72.522)
Epoch: [30][7280/14090]	Time 0.746 (0.750)	Data 0.001 (0.002)	Loss 2.3038 (2.3451)	Prec@1 43.750 (42.018)	Prec@5 71.094 (72.523)
Epoch: [30][7290/14090]	Time 0.770 (0.750)	Data 0.002 (0.002)	Loss 2.3988 (2.3451)	Prec@1 40.625 (42.018)	Prec@5 71.875 (72.524)
Epoch: [30][7300/14090]	Time 0.736 (0.750)	Data 0.001 (0.002)	Loss 2.0477 (2.3450)	Prec@1 45.312 (42.021)	Prec@5 75.000 (72.526)
Epoch: [30][7310/14090]	Time 0.759 (0.750)	Data 0.001 (0.002)	Loss 2.3374 (2.3450)	Prec@1 39.844 (42.021)	Prec@5 67.969 (72.528)
Epoch: [30][7320/14090]	Time 0.735 (0.750)	Data 0.002 (0.002)	Loss 2.5204 (2.3450)	Prec@1 36.719 (42.021)	Prec@5 65.625 (72.528)
Epoch: [30][7330/14090]	Time 0.776 (0.750)	Data 0.001 (0.002)	Loss 2.2843 (2.3448)	Prec@1 42.969 (42.022)	Prec@5 72.656 (72.533)
Epoch: [30][7340/14090]	Time 0.732 (0.750)	Data 0.001 (0.002)	Loss 2.4268 (2.3446)	Prec@1 37.500 (42.025)	Prec@5 71.094 (72.537)
Epoch: [30][7350/14090]	Time 0.740 (0.749)	Data 0.001 (0.002)	Loss 2.0713 (2.3446)	Prec@1 48.438 (42.026)	Prec@5 75.781 (72.538)
Epoch: [30][7360/14090]	Time 0.727 (0.749)	Data 0.001 (0.002)	Loss 2.5440 (2.3445)	Prec@1 35.938 (42.026)	Prec@5 71.094 (72.537)
Epoch: [30][7370/14090]	Time 0.761 (0.749)	Data 0.001 (0.002)	Loss 2.4701 (2.3445)	Prec@1 37.500 (42.026)	Prec@5 70.312 (72.540)
Epoch: [30][7380/14090]	Time 0.754 (0.750)	Data 0.001 (0.002)	Loss 1.9820 (2.3444)	Prec@1 51.562 (42.027)	Prec@5 78.125 (72.539)
Epoch: [30][7390/14090]	Time 0.757 (0.750)	Data 0.002 (0.002)	Loss 2.0947 (2.3442)	Prec@1 50.781 (42.031)	Prec@5 78.906 (72.542)
Epoch: [30][7400/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 2.0498 (2.3440)	Prec@1 47.656 (42.034)	Prec@5 78.125 (72.545)
Epoch: [30][7410/14090]	Time 0.754 (0.750)	Data 0.001 (0.002)	Loss 2.4051 (2.3440)	Prec@1 38.281 (42.034)	Prec@5 72.656 (72.546)
Epoch: [30][7420/14090]	Time 0.754 (0.750)	Data 0.001 (0.002)	Loss 2.0927 (2.3439)	Prec@1 45.312 (42.037)	Prec@5 80.469 (72.548)
Epoch: [30][7430/14090]	Time 0.739 (0.750)	Data 0.001 (0.002)	Loss 2.1566 (2.3439)	Prec@1 46.875 (42.040)	Prec@5 78.125 (72.550)
Epoch: [30][7440/14090]	Time 0.726 (0.750)	Data 0.001 (0.002)	Loss 2.3120 (2.3438)	Prec@1 42.188 (42.040)	Prec@5 71.875 (72.554)
Epoch: [30][7450/14090]	Time 0.779 (0.750)	Data 0.001 (0.002)	Loss 2.5214 (2.3437)	Prec@1 41.406 (42.041)	Prec@5 65.625 (72.554)
Epoch: [30][7460/14090]	Time 0.735 (0.750)	Data 0.002 (0.002)	Loss 2.1928 (2.3437)	Prec@1 39.062 (42.040)	Prec@5 78.125 (72.554)
Epoch: [30][7470/14090]	Time 0.744 (0.750)	Data 0.001 (0.002)	Loss 2.3491 (2.3436)	Prec@1 42.188 (42.039)	Prec@5 76.562 (72.556)
Epoch: [30][7480/14090]	Time 0.735 (0.749)	Data 0.002 (0.002)	Loss 2.6156 (2.3436)	Prec@1 34.375 (42.040)	Prec@5 70.312 (72.558)
Epoch: [30][7490/14090]	Time 0.747 (0.749)	Data 0.001 (0.002)	Loss 2.2339 (2.3435)	Prec@1 42.188 (42.041)	Prec@5 77.344 (72.561)
Epoch: [30][7500/14090]	Time 0.763 (0.750)	Data 0.001 (0.002)	Loss 2.2938 (2.3434)	Prec@1 46.875 (42.042)	Prec@5 74.219 (72.564)
Epoch: [30][7510/14090]	Time 0.745 (0.749)	Data 0.001 (0.002)	Loss 2.1266 (2.3433)	Prec@1 43.750 (42.046)	Prec@5 76.562 (72.567)
Epoch: [30][7520/14090]	Time 0.737 (0.749)	Data 0.001 (0.002)	Loss 2.3855 (2.3433)	Prec@1 39.844 (42.045)	Prec@5 71.875 (72.568)
Epoch: [30][7530/14090]	Time 0.749 (0.749)	Data 0.002 (0.002)	Loss 2.0333 (2.3432)	Prec@1 47.656 (42.047)	Prec@5 76.562 (72.568)
Epoch: [30][7540/14090]	Time 0.774 (0.749)	Data 0.001 (0.002)	Loss 2.3513 (2.3431)	Prec@1 40.625 (42.048)	Prec@5 67.188 (72.568)
Epoch: [30][7550/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 2.3060 (2.3431)	Prec@1 41.406 (42.048)	Prec@5 71.875 (72.568)
Epoch: [30][7560/14090]	Time 0.742 (0.750)	Data 0.001 (0.002)	Loss 2.2704 (2.3430)	Prec@1 43.750 (42.051)	Prec@5 73.438 (72.571)
Epoch: [30][7570/14090]	Time 0.754 (0.750)	Data 0.001 (0.002)	Loss 2.5827 (2.3429)	Prec@1 36.719 (42.052)	Prec@5 63.281 (72.572)
Epoch: [30][7580/14090]	Time 0.739 (0.749)	Data 0.001 (0.002)	Loss 2.1163 (2.3428)	Prec@1 48.438 (42.057)	Prec@5 70.312 (72.573)
Epoch: [30][7590/14090]	Time 0.759 (0.749)	Data 0.001 (0.002)	Loss 2.2711 (2.3428)	Prec@1 42.188 (42.055)	Prec@5 73.438 (72.571)
Epoch: [30][7600/14090]	Time 0.771 (0.750)	Data 0.002 (0.002)	Loss 2.5339 (2.3428)	Prec@1 39.062 (42.058)	Prec@5 70.312 (72.571)
Epoch: [30][7610/14090]	Time 0.745 (0.750)	Data 0.001 (0.002)	Loss 2.2873 (2.3427)	Prec@1 44.531 (42.059)	Prec@5 75.000 (72.573)
Epoch: [30][7620/14090]	Time 0.746 (0.750)	Data 0.001 (0.002)	Loss 2.5486 (2.3427)	Prec@1 39.062 (42.058)	Prec@5 65.625 (72.572)
Epoch: [30][7630/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 2.1018 (2.3427)	Prec@1 50.781 (42.058)	Prec@5 76.562 (72.571)
Epoch: [30][7640/14090]	Time 0.754 (0.750)	Data 0.001 (0.002)	Loss 2.0654 (2.3425)	Prec@1 48.438 (42.062)	Prec@5 82.812 (72.575)
Epoch: [30][7650/14090]	Time 0.757 (0.750)	Data 0.001 (0.002)	Loss 2.3776 (2.3424)	Prec@1 42.969 (42.065)	Prec@5 74.219 (72.578)
Epoch: [30][7660/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 2.4190 (2.3423)	Prec@1 38.281 (42.067)	Prec@5 71.094 (72.578)
Epoch: [30][7670/14090]	Time 0.732 (0.750)	Data 0.002 (0.002)	Loss 2.3220 (2.3421)	Prec@1 39.062 (42.071)	Prec@5 72.656 (72.579)
Epoch: [30][7680/14090]	Time 0.766 (0.750)	Data 0.001 (0.002)	Loss 2.1745 (2.3420)	Prec@1 46.875 (42.074)	Prec@5 75.000 (72.583)
Epoch: [30][7690/14090]	Time 0.756 (0.750)	Data 0.001 (0.002)	Loss 2.1829 (2.3419)	Prec@1 44.531 (42.077)	Prec@5 74.219 (72.585)
Epoch: [30][7700/14090]	Time 0.758 (0.750)	Data 0.001 (0.002)	Loss 2.3819 (2.3418)	Prec@1 35.156 (42.079)	Prec@5 74.219 (72.586)
Epoch: [30][7710/14090]	Time 0.751 (0.750)	Data 0.001 (0.002)	Loss 2.1124 (2.3419)	Prec@1 47.656 (42.078)	Prec@5 76.562 (72.584)
Epoch: [30][7720/14090]	Time 0.754 (0.750)	Data 0.001 (0.002)	Loss 2.3436 (2.3418)	Prec@1 38.281 (42.079)	Prec@5 72.656 (72.583)
Epoch: [30][7730/14090]	Time 0.724 (0.749)	Data 0.001 (0.002)	Loss 2.4690 (2.3418)	Prec@1 38.281 (42.079)	Prec@5 67.969 (72.585)
Epoch: [30][7740/14090]	Time 0.750 (0.749)	Data 0.002 (0.002)	Loss 2.3613 (2.3417)	Prec@1 42.969 (42.081)	Prec@5 67.188 (72.586)
Epoch: [30][7750/14090]	Time 0.745 (0.749)	Data 0.001 (0.002)	Loss 2.3016 (2.3416)	Prec@1 46.094 (42.083)	Prec@5 76.562 (72.588)
Epoch: [30][7760/14090]	Time 0.727 (0.749)	Data 0.001 (0.002)	Loss 2.4079 (2.3415)	Prec@1 40.625 (42.086)	Prec@5 75.781 (72.589)
Epoch: [30][7770/14090]	Time 0.730 (0.749)	Data 0.001 (0.002)	Loss 2.3104 (2.3413)	Prec@1 43.750 (42.092)	Prec@5 69.531 (72.591)
Epoch: [30][7780/14090]	Time 0.742 (0.750)	Data 0.001 (0.002)	Loss 2.4324 (2.3413)	Prec@1 47.656 (42.094)	Prec@5 67.969 (72.589)
Epoch: [30][7790/14090]	Time 0.747 (0.749)	Data 0.001 (0.002)	Loss 2.1851 (2.3411)	Prec@1 44.531 (42.096)	Prec@5 82.031 (72.593)
Epoch: [30][7800/14090]	Time 0.757 (0.749)	Data 0.001 (0.002)	Loss 2.2061 (2.3410)	Prec@1 50.000 (42.098)	Prec@5 78.125 (72.595)
Epoch: [30][7810/14090]	Time 0.738 (0.749)	Data 0.002 (0.002)	Loss 2.2280 (2.3409)	Prec@1 41.406 (42.100)	Prec@5 73.438 (72.595)
Epoch: [30][7820/14090]	Time 0.739 (0.749)	Data 0.001 (0.002)	Loss 2.2622 (2.3408)	Prec@1 42.969 (42.103)	Prec@5 72.656 (72.598)
Epoch: [30][7830/14090]	Time 0.746 (0.749)	Data 0.001 (0.002)	Loss 2.4129 (2.3409)	Prec@1 35.938 (42.102)	Prec@5 71.094 (72.597)
Epoch: [30][7840/14090]	Time 0.735 (0.749)	Data 0.001 (0.002)	Loss 2.6382 (2.3409)	Prec@1 36.719 (42.103)	Prec@5 64.062 (72.595)
Epoch: [30][7850/14090]	Time 0.724 (0.749)	Data 0.001 (0.002)	Loss 2.2597 (2.3408)	Prec@1 42.969 (42.106)	Prec@5 71.875 (72.597)
Epoch: [30][7860/14090]	Time 0.762 (0.749)	Data 0.001 (0.002)	Loss 2.3641 (2.3407)	Prec@1 39.844 (42.111)	Prec@5 71.094 (72.597)
Epoch: [30][7870/14090]	Time 0.736 (0.749)	Data 0.001 (0.002)	Loss 2.2666 (2.3406)	Prec@1 43.750 (42.112)	Prec@5 74.219 (72.597)
Epoch: [30][7880/14090]	Time 0.738 (0.749)	Data 0.002 (0.002)	Loss 2.3749 (2.3407)	Prec@1 48.438 (42.111)	Prec@5 72.656 (72.595)
Epoch: [30][7890/14090]	Time 0.747 (0.749)	Data 0.001 (0.002)	Loss 2.4782 (2.3407)	Prec@1 35.938 (42.112)	Prec@5 75.000 (72.596)
Epoch: [30][7900/14090]	Time 0.757 (0.750)	Data 0.001 (0.002)	Loss 2.4292 (2.3407)	Prec@1 38.281 (42.111)	Prec@5 69.531 (72.596)
Epoch: [30][7910/14090]	Time 0.727 (0.750)	Data 0.001 (0.002)	Loss 2.2955 (2.3407)	Prec@1 44.531 (42.110)	Prec@5 73.438 (72.595)
Epoch: [30][7920/14090]	Time 0.760 (0.749)	Data 0.001 (0.002)	Loss 2.5044 (2.3406)	Prec@1 37.500 (42.112)	Prec@5 70.312 (72.597)
Epoch: [30][7930/14090]	Time 0.728 (0.749)	Data 0.001 (0.002)	Loss 2.3587 (2.3406)	Prec@1 42.969 (42.114)	Prec@5 67.969 (72.597)
Epoch: [30][7940/14090]	Time 0.770 (0.749)	Data 0.001 (0.002)	Loss 2.4813 (2.3406)	Prec@1 34.375 (42.114)	Prec@5 74.219 (72.596)
Epoch: [30][7950/14090]	Time 0.740 (0.749)	Data 0.002 (0.002)	Loss 2.3476 (2.3406)	Prec@1 35.938 (42.112)	Prec@5 71.875 (72.595)
Epoch: [30][7960/14090]	Time 0.755 (0.749)	Data 0.001 (0.002)	Loss 2.1559 (2.3407)	Prec@1 44.531 (42.110)	Prec@5 77.344 (72.593)
Epoch: [30][7970/14090]	Time 0.759 (0.749)	Data 0.001 (0.002)	Loss 2.1951 (2.3406)	Prec@1 42.188 (42.110)	Prec@5 74.219 (72.594)
Epoch: [30][7980/14090]	Time 0.773 (0.749)	Data 0.001 (0.002)	Loss 2.1659 (2.3407)	Prec@1 53.125 (42.110)	Prec@5 75.000 (72.593)
Epoch: [30][7990/14090]	Time 0.743 (0.749)	Data 0.001 (0.002)	Loss 2.1234 (2.3407)	Prec@1 43.750 (42.110)	Prec@5 78.906 (72.593)
Epoch: [30][8000/14090]	Time 0.741 (0.749)	Data 0.001 (0.002)	Loss 2.1335 (2.3407)	Prec@1 50.000 (42.110)	Prec@5 77.344 (72.594)
Epoch: [30][8010/14090]	Time 0.748 (0.749)	Data 0.001 (0.002)	Loss 2.4642 (2.3406)	Prec@1 37.500 (42.111)	Prec@5 69.531 (72.595)
Epoch: [30][8020/14090]	Time 0.731 (0.749)	Data 0.002 (0.002)	Loss 2.3915 (2.3406)	Prec@1 41.406 (42.111)	Prec@5 74.219 (72.595)
Epoch: [30][8030/14090]	Time 0.757 (0.749)	Data 0.001 (0.002)	Loss 2.3893 (2.3406)	Prec@1 42.969 (42.112)	Prec@5 72.656 (72.597)
Epoch: [30][8040/14090]	Time 0.754 (0.750)	Data 0.001 (0.002)	Loss 2.2535 (2.3405)	Prec@1 42.188 (42.114)	Prec@5 77.344 (72.600)
Epoch: [30][8050/14090]	Time 0.785 (0.750)	Data 0.001 (0.002)	Loss 2.3380 (2.3404)	Prec@1 38.281 (42.117)	Prec@5 71.875 (72.601)
Epoch: [30][8060/14090]	Time 0.734 (0.750)	Data 0.001 (0.002)	Loss 2.2251 (2.3402)	Prec@1 42.188 (42.119)	Prec@5 75.000 (72.605)
Epoch: [30][8070/14090]	Time 0.742 (0.750)	Data 0.001 (0.002)	Loss 1.9873 (2.3399)	Prec@1 42.188 (42.121)	Prec@5 74.219 (72.611)
Epoch: [30][8080/14090]	Time 0.754 (0.750)	Data 0.001 (0.002)	Loss 2.1678 (2.3397)	Prec@1 50.000 (42.125)	Prec@5 73.438 (72.614)
Epoch: [30][8090/14090]	Time 0.735 (0.750)	Data 0.002 (0.002)	Loss 2.3278 (2.3397)	Prec@1 46.094 (42.126)	Prec@5 78.125 (72.615)
Epoch: [30][8100/14090]	Time 0.755 (0.750)	Data 0.001 (0.002)	Loss 1.9678 (2.3395)	Prec@1 49.219 (42.129)	Prec@5 82.812 (72.617)
Epoch: [30][8110/14090]	Time 0.726 (0.750)	Data 0.001 (0.002)	Loss 2.2240 (2.3395)	Prec@1 46.875 (42.129)	Prec@5 76.562 (72.618)
Epoch: [30][8120/14090]	Time 0.777 (0.750)	Data 0.001 (0.002)	Loss 2.4418 (2.3395)	Prec@1 38.281 (42.131)	Prec@5 73.438 (72.620)
Epoch: [30][8130/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 2.3573 (2.3394)	Prec@1 39.844 (42.133)	Prec@5 72.656 (72.621)
Epoch: [30][8140/14090]	Time 0.732 (0.750)	Data 0.001 (0.002)	Loss 2.3075 (2.3393)	Prec@1 41.406 (42.133)	Prec@5 73.438 (72.623)
Epoch: [30][8150/14090]	Time 0.733 (0.750)	Data 0.001 (0.002)	Loss 2.2668 (2.3392)	Prec@1 42.188 (42.136)	Prec@5 73.438 (72.624)
Epoch: [30][8160/14090]	Time 0.772 (0.750)	Data 0.002 (0.002)	Loss 2.2443 (2.3390)	Prec@1 43.750 (42.138)	Prec@5 75.000 (72.628)
Epoch: [30][8170/14090]	Time 0.743 (0.750)	Data 0.002 (0.002)	Loss 2.5769 (2.3390)	Prec@1 40.625 (42.140)	Prec@5 67.188 (72.628)
Epoch: [30][8180/14090]	Time 0.746 (0.749)	Data 0.001 (0.002)	Loss 2.2290 (2.3389)	Prec@1 47.656 (42.142)	Prec@5 75.781 (72.629)
Epoch: [30][8190/14090]	Time 0.763 (0.750)	Data 0.001 (0.002)	Loss 2.2274 (2.3388)	Prec@1 40.625 (42.140)	Prec@5 71.094 (72.631)
Epoch: [30][8200/14090]	Time 0.745 (0.749)	Data 0.001 (0.002)	Loss 2.0978 (2.3387)	Prec@1 46.094 (42.145)	Prec@5 77.344 (72.632)
Epoch: [30][8210/14090]	Time 0.743 (0.749)	Data 0.001 (0.002)	Loss 2.0380 (2.3386)	Prec@1 50.000 (42.148)	Prec@5 79.688 (72.635)
Epoch: [30][8220/14090]	Time 0.729 (0.749)	Data 0.001 (0.002)	Loss 2.1886 (2.3385)	Prec@1 42.188 (42.149)	Prec@5 71.875 (72.637)
Epoch: [30][8230/14090]	Time 0.723 (0.749)	Data 0.002 (0.002)	Loss 2.2365 (2.3385)	Prec@1 45.312 (42.148)	Prec@5 76.562 (72.637)
Epoch: [30][8240/14090]	Time 0.758 (0.749)	Data 0.001 (0.002)	Loss 2.0701 (2.3384)	Prec@1 47.656 (42.149)	Prec@5 78.906 (72.639)
Epoch: [30][8250/14090]	Time 0.742 (0.749)	Data 0.001 (0.002)	Loss 2.1753 (2.3382)	Prec@1 46.094 (42.153)	Prec@5 73.438 (72.640)
Epoch: [30][8260/14090]	Time 0.751 (0.749)	Data 0.001 (0.002)	Loss 2.2619 (2.3382)	Prec@1 43.750 (42.155)	Prec@5 75.000 (72.640)
Epoch: [30][8270/14090]	Time 0.738 (0.749)	Data 0.001 (0.002)	Loss 2.2548 (2.3381)	Prec@1 46.094 (42.157)	Prec@5 73.438 (72.642)
Epoch: [30][8280/14090]	Time 0.747 (0.749)	Data 0.001 (0.002)	Loss 2.3652 (2.3380)	Prec@1 42.188 (42.158)	Prec@5 72.656 (72.643)
Epoch: [30][8290/14090]	Time 0.744 (0.750)	Data 0.001 (0.002)	Loss 2.0499 (2.3380)	Prec@1 38.281 (42.157)	Prec@5 80.469 (72.645)
Epoch: [30][8300/14090]	Time 0.725 (0.749)	Data 0.002 (0.002)	Loss 2.5201 (2.3379)	Prec@1 39.062 (42.158)	Prec@5 68.750 (72.645)
Epoch: [30][8310/14090]	Time 0.750 (0.749)	Data 0.001 (0.002)	Loss 2.3603 (2.3378)	Prec@1 43.750 (42.161)	Prec@5 73.438 (72.648)
Epoch: [30][8320/14090]	Time 0.731 (0.749)	Data 0.001 (0.002)	Loss 2.5381 (2.3378)	Prec@1 38.281 (42.161)	Prec@5 70.312 (72.648)
Epoch: [30][8330/14090]	Time 0.760 (0.749)	Data 0.001 (0.002)	Loss 2.4571 (2.3378)	Prec@1 37.500 (42.160)	Prec@5 75.000 (72.648)
Epoch: [30][8340/14090]	Time 0.741 (0.749)	Data 0.001 (0.002)	Loss 2.2420 (2.3378)	Prec@1 45.312 (42.161)	Prec@5 72.656 (72.650)
Epoch: [30][8350/14090]	Time 0.754 (0.749)	Data 0.001 (0.002)	Loss 2.6427 (2.3378)	Prec@1 35.938 (42.163)	Prec@5 67.969 (72.650)
Epoch: [30][8360/14090]	Time 0.744 (0.749)	Data 0.001 (0.002)	Loss 2.4006 (2.3377)	Prec@1 44.531 (42.164)	Prec@5 70.312 (72.652)
Epoch: [30][8370/14090]	Time 0.767 (0.749)	Data 0.002 (0.002)	Loss 2.0527 (2.3376)	Prec@1 45.312 (42.165)	Prec@5 82.031 (72.653)
Epoch: [30][8380/14090]	Time 0.772 (0.749)	Data 0.001 (0.002)	Loss 2.4733 (2.3377)	Prec@1 37.500 (42.164)	Prec@5 71.094 (72.653)
Epoch: [30][8390/14090]	Time 0.734 (0.749)	Data 0.001 (0.002)	Loss 2.1229 (2.3376)	Prec@1 46.094 (42.165)	Prec@5 72.656 (72.653)
Epoch: [30][8400/14090]	Time 0.756 (0.749)	Data 0.001 (0.002)	Loss 2.3848 (2.3376)	Prec@1 39.062 (42.166)	Prec@5 67.188 (72.653)
Epoch: [30][8410/14090]	Time 0.725 (0.749)	Data 0.001 (0.002)	Loss 2.5168 (2.3375)	Prec@1 36.719 (42.168)	Prec@5 71.875 (72.655)
Epoch: [30][8420/14090]	Time 0.747 (0.749)	Data 0.001 (0.002)	Loss 2.0276 (2.3374)	Prec@1 50.000 (42.170)	Prec@5 73.438 (72.658)
Epoch: [30][8430/14090]	Time 0.776 (0.749)	Data 0.001 (0.002)	Loss 2.4292 (2.3374)	Prec@1 41.406 (42.172)	Prec@5 71.094 (72.658)
Epoch: [30][8440/14090]	Time 0.723 (0.749)	Data 0.002 (0.002)	Loss 2.1632 (2.3371)	Prec@1 43.750 (42.177)	Prec@5 73.438 (72.662)
Epoch: [30][8450/14090]	Time 0.764 (0.749)	Data 0.001 (0.002)	Loss 1.9831 (2.3370)	Prec@1 50.000 (42.180)	Prec@5 75.000 (72.665)
Epoch: [30][8460/14090]	Time 0.735 (0.749)	Data 0.001 (0.002)	Loss 2.3887 (2.3368)	Prec@1 35.938 (42.181)	Prec@5 68.750 (72.667)
Epoch: [30][8470/14090]	Time 0.759 (0.749)	Data 0.001 (0.002)	Loss 2.4819 (2.3367)	Prec@1 38.281 (42.182)	Prec@5 64.062 (72.668)
Epoch: [30][8480/14090]	Time 0.735 (0.749)	Data 0.001 (0.002)	Loss 2.2159 (2.3368)	Prec@1 45.312 (42.183)	Prec@5 73.438 (72.669)
Epoch: [30][8490/14090]	Time 0.757 (0.749)	Data 0.001 (0.002)	Loss 2.2266 (2.3366)	Prec@1 47.656 (42.185)	Prec@5 75.000 (72.672)
Epoch: [30][8500/14090]	Time 0.726 (0.749)	Data 0.001 (0.002)	Loss 2.2859 (2.3365)	Prec@1 42.969 (42.187)	Prec@5 75.781 (72.674)
Epoch: [30][8510/14090]	Time 0.758 (0.749)	Data 0.002 (0.002)	Loss 1.7469 (2.3364)	Prec@1 54.688 (42.189)	Prec@5 82.031 (72.677)
Epoch: [30][8520/14090]	Time 0.735 (0.749)	Data 0.001 (0.002)	Loss 2.2121 (2.3363)	Prec@1 47.656 (42.190)	Prec@5 75.000 (72.677)
Epoch: [30][8530/14090]	Time 0.733 (0.749)	Data 0.001 (0.002)	Loss 2.1741 (2.3364)	Prec@1 45.312 (42.190)	Prec@5 74.219 (72.675)
Epoch: [30][8540/14090]	Time 0.736 (0.749)	Data 0.001 (0.002)	Loss 2.2248 (2.3364)	Prec@1 39.062 (42.187)	Prec@5 72.656 (72.674)
Epoch: [30][8550/14090]	Time 0.761 (0.749)	Data 0.001 (0.002)	Loss 2.2292 (2.3365)	Prec@1 42.188 (42.185)	Prec@5 74.219 (72.673)
Epoch: [30][8560/14090]	Time 0.749 (0.749)	Data 0.001 (0.002)	Loss 2.5692 (2.3365)	Prec@1 42.969 (42.184)	Prec@5 68.750 (72.673)
Epoch: [30][8570/14090]	Time 0.751 (0.749)	Data 0.001 (0.002)	Loss 2.3898 (2.3364)	Prec@1 42.188 (42.186)	Prec@5 75.000 (72.676)
Epoch: [30][8580/14090]	Time 0.737 (0.749)	Data 0.002 (0.002)	Loss 2.1871 (2.3364)	Prec@1 45.312 (42.189)	Prec@5 71.875 (72.676)
Epoch: [30][8590/14090]	Time 0.776 (0.749)	Data 0.001 (0.002)	Loss 2.4369 (2.3364)	Prec@1 41.406 (42.190)	Prec@5 69.531 (72.674)
Epoch: [30][8600/14090]	Time 0.740 (0.749)	Data 0.002 (0.002)	Loss 2.1050 (2.3363)	Prec@1 50.781 (42.191)	Prec@5 78.906 (72.677)
Epoch: [30][8610/14090]	Time 0.727 (0.749)	Data 0.001 (0.002)	Loss 2.5531 (2.3363)	Prec@1 32.812 (42.191)	Prec@5 69.531 (72.678)
Epoch: [30][8620/14090]	Time 0.727 (0.749)	Data 0.001 (0.002)	Loss 2.2231 (2.3362)	Prec@1 44.531 (42.192)	Prec@5 72.656 (72.679)
Epoch: [30][8630/14090]	Time 0.752 (0.749)	Data 0.001 (0.002)	Loss 2.2304 (2.3361)	Prec@1 43.750 (42.192)	Prec@5 74.219 (72.682)
Epoch: [30][8640/14090]	Time 0.740 (0.749)	Data 0.001 (0.002)	Loss 2.3055 (2.3360)	Prec@1 40.625 (42.194)	Prec@5 72.656 (72.683)
Epoch: [30][8650/14090]	Time 0.740 (0.749)	Data 0.002 (0.002)	Loss 2.2365 (2.3359)	Prec@1 40.625 (42.195)	Prec@5 73.438 (72.686)
Epoch: [30][8660/14090]	Time 0.739 (0.749)	Data 0.001 (0.002)	Loss 2.3787 (2.3359)	Prec@1 37.500 (42.193)	Prec@5 74.219 (72.684)
Epoch: [30][8670/14090]	Time 0.760 (0.749)	Data 0.001 (0.002)	Loss 2.3827 (2.3359)	Prec@1 40.625 (42.194)	Prec@5 73.438 (72.686)
Epoch: [30][8680/14090]	Time 0.740 (0.749)	Data 0.001 (0.002)	Loss 2.2509 (2.3359)	Prec@1 43.750 (42.195)	Prec@5 74.219 (72.684)
Epoch: [30][8690/14090]	Time 0.733 (0.749)	Data 0.001 (0.002)	Loss 2.2214 (2.3358)	Prec@1 43.750 (42.194)	Prec@5 75.000 (72.686)
Epoch: [30][8700/14090]	Time 0.762 (0.749)	Data 0.001 (0.002)	Loss 2.2400 (2.3357)	Prec@1 43.750 (42.197)	Prec@5 78.125 (72.690)
Epoch: [30][8710/14090]	Time 0.757 (0.749)	Data 0.001 (0.002)	Loss 2.2538 (2.3357)	Prec@1 45.312 (42.197)	Prec@5 71.875 (72.689)
Epoch: [30][8720/14090]	Time 0.719 (0.749)	Data 0.002 (0.002)	Loss 2.3363 (2.3355)	Prec@1 36.719 (42.200)	Prec@5 75.781 (72.692)
Epoch: [30][8730/14090]	Time 0.745 (0.749)	Data 0.001 (0.002)	Loss 2.1778 (2.3354)	Prec@1 46.875 (42.203)	Prec@5 75.000 (72.695)
Epoch: [30][8740/14090]	Time 0.774 (0.749)	Data 0.001 (0.002)	Loss 2.1917 (2.3353)	Prec@1 44.531 (42.205)	Prec@5 77.344 (72.697)
Epoch: [30][8750/14090]	Time 0.724 (0.749)	Data 0.001 (0.002)	Loss 2.3118 (2.3352)	Prec@1 45.312 (42.205)	Prec@5 73.438 (72.700)
Epoch: [30][8760/14090]	Time 0.727 (0.749)	Data 0.001 (0.002)	Loss 2.3312 (2.3351)	Prec@1 43.750 (42.206)	Prec@5 75.000 (72.701)
Epoch: [30][8770/14090]	Time 0.746 (0.749)	Data 0.001 (0.002)	Loss 2.2859 (2.3351)	Prec@1 44.531 (42.207)	Prec@5 76.562 (72.702)
Epoch: [30][8780/14090]	Time 0.746 (0.749)	Data 0.001 (0.002)	Loss 2.0925 (2.3350)	Prec@1 50.781 (42.208)	Prec@5 75.000 (72.703)
Epoch: [30][8790/14090]	Time 0.735 (0.749)	Data 0.002 (0.002)	Loss 2.2276 (2.3350)	Prec@1 46.875 (42.209)	Prec@5 72.656 (72.703)
Epoch: [30][8800/14090]	Time 0.776 (0.749)	Data 0.001 (0.002)	Loss 2.2212 (2.3350)	Prec@1 41.406 (42.210)	Prec@5 70.312 (72.702)
Epoch: [30][8810/14090]	Time 0.747 (0.749)	Data 0.001 (0.002)	Loss 2.1560 (2.3350)	Prec@1 46.094 (42.212)	Prec@5 71.875 (72.701)
Epoch: [30][8820/14090]	Time 0.740 (0.749)	Data 0.001 (0.002)	Loss 2.1911 (2.3349)	Prec@1 45.312 (42.212)	Prec@5 75.781 (72.702)
Epoch: [30][8830/14090]	Time 0.721 (0.749)	Data 0.000 (0.002)	Loss 2.1700 (2.3347)	Prec@1 48.438 (42.216)	Prec@5 73.438 (72.707)
Epoch: [30][8840/14090]	Time 0.743 (0.749)	Data 0.001 (0.002)	Loss 2.4322 (2.3348)	Prec@1 37.500 (42.216)	Prec@5 75.000 (72.706)
Epoch: [30][8850/14090]	Time 0.786 (0.749)	Data 0.001 (0.002)	Loss 2.1820 (2.3347)	Prec@1 46.094 (42.218)	Prec@5 71.094 (72.706)
Epoch: [30][8860/14090]	Time 0.759 (0.749)	Data 0.002 (0.002)	Loss 2.5076 (2.3347)	Prec@1 42.969 (42.219)	Prec@5 67.188 (72.707)
Epoch: [30][8870/14090]	Time 0.723 (0.749)	Data 0.001 (0.002)	Loss 1.9983 (2.3345)	Prec@1 50.781 (42.221)	Prec@5 79.688 (72.710)
Epoch: [30][8880/14090]	Time 0.761 (0.749)	Data 0.001 (0.002)	Loss 2.6534 (2.3346)	Prec@1 32.812 (42.218)	Prec@5 66.406 (72.709)
Epoch: [30][8890/14090]	Time 0.766 (0.749)	Data 0.001 (0.002)	Loss 2.0891 (2.3345)	Prec@1 45.312 (42.218)	Prec@5 79.688 (72.709)
Epoch: [30][8900/14090]	Time 0.749 (0.749)	Data 0.001 (0.002)	Loss 2.3471 (2.3345)	Prec@1 39.844 (42.217)	Prec@5 72.656 (72.708)
Epoch: [30][8910/14090]	Time 0.760 (0.749)	Data 0.001 (0.002)	Loss 2.0278 (2.3345)	Prec@1 50.000 (42.219)	Prec@5 76.562 (72.709)
Epoch: [30][8920/14090]	Time 0.728 (0.749)	Data 0.001 (0.002)	Loss 1.9044 (2.3345)	Prec@1 48.438 (42.220)	Prec@5 79.688 (72.709)
Epoch: [30][8930/14090]	Time 0.757 (0.749)	Data 0.002 (0.002)	Loss 2.2966 (2.3344)	Prec@1 44.531 (42.220)	Prec@5 74.219 (72.711)
Epoch: [30][8940/14090]	Time 0.744 (0.749)	Data 0.001 (0.002)	Loss 2.1577 (2.3343)	Prec@1 41.406 (42.222)	Prec@5 77.344 (72.712)
Epoch: [30][8950/14090]	Time 0.752 (0.749)	Data 0.001 (0.002)	Loss 2.1327 (2.3342)	Prec@1 44.531 (42.222)	Prec@5 75.000 (72.712)
Epoch: [30][8960/14090]	Time 0.759 (0.749)	Data 0.001 (0.002)	Loss 2.4598 (2.3342)	Prec@1 38.281 (42.222)	Prec@5 75.781 (72.712)
Epoch: [30][8970/14090]	Time 0.753 (0.749)	Data 0.001 (0.002)	Loss 2.2995 (2.3342)	Prec@1 43.750 (42.222)	Prec@5 76.562 (72.713)
Epoch: [30][8980/14090]	Time 0.783 (0.749)	Data 0.001 (0.002)	Loss 2.3700 (2.3340)	Prec@1 42.969 (42.225)	Prec@5 71.875 (72.715)
Epoch: [30][8990/14090]	Time 0.764 (0.749)	Data 0.001 (0.002)	Loss 2.1016 (2.3340)	Prec@1 50.000 (42.225)	Prec@5 74.219 (72.718)
Epoch: [30][9000/14090]	Time 0.787 (0.749)	Data 0.002 (0.002)	Loss 2.3385 (2.3340)	Prec@1 35.156 (42.224)	Prec@5 73.438 (72.717)
Epoch: [30][9010/14090]	Time 0.729 (0.749)	Data 0.001 (0.002)	Loss 2.3304 (2.3338)	Prec@1 45.312 (42.228)	Prec@5 71.094 (72.719)
Epoch: [30][9020/14090]	Time 0.735 (0.749)	Data 0.001 (0.002)	Loss 2.3305 (2.3338)	Prec@1 40.625 (42.227)	Prec@5 67.188 (72.719)
Epoch: [30][9030/14090]	Time 0.765 (0.749)	Data 0.001 (0.002)	Loss 2.1570 (2.3337)	Prec@1 50.781 (42.228)	Prec@5 71.875 (72.718)
Epoch: [30][9040/14090]	Time 0.741 (0.749)	Data 0.001 (0.002)	Loss 2.2632 (2.3336)	Prec@1 40.625 (42.230)	Prec@5 73.438 (72.720)
Epoch: [30][9050/14090]	Time 0.722 (0.749)	Data 0.001 (0.002)	Loss 2.3165 (2.3335)	Prec@1 39.062 (42.231)	Prec@5 72.656 (72.724)
Epoch: [30][9060/14090]	Time 0.737 (0.749)	Data 0.001 (0.002)	Loss 2.1242 (2.3334)	Prec@1 46.094 (42.231)	Prec@5 81.250 (72.727)
Epoch: [30][9070/14090]	Time 0.747 (0.749)	Data 0.002 (0.002)	Loss 2.0058 (2.3333)	Prec@1 47.656 (42.235)	Prec@5 76.562 (72.729)
Epoch: [30][9080/14090]	Time 0.753 (0.749)	Data 0.001 (0.002)	Loss 2.2485 (2.3332)	Prec@1 45.312 (42.238)	Prec@5 73.438 (72.731)
Epoch: [30][9090/14090]	Time 0.760 (0.749)	Data 0.001 (0.002)	Loss 2.0426 (2.3331)	Prec@1 47.656 (42.239)	Prec@5 77.344 (72.731)
Epoch: [30][9100/14090]	Time 0.722 (0.749)	Data 0.001 (0.002)	Loss 2.2270 (2.3331)	Prec@1 49.219 (42.238)	Prec@5 73.438 (72.731)
Epoch: [30][9110/14090]	Time 0.741 (0.749)	Data 0.001 (0.002)	Loss 2.3232 (2.3330)	Prec@1 43.750 (42.240)	Prec@5 71.875 (72.732)
Epoch: [30][9120/14090]	Time 0.725 (0.749)	Data 0.001 (0.002)	Loss 2.1487 (2.3330)	Prec@1 50.000 (42.241)	Prec@5 75.000 (72.733)
Epoch: [30][9130/14090]	Time 0.736 (0.749)	Data 0.001 (0.002)	Loss 2.4326 (2.3330)	Prec@1 39.844 (42.237)	Prec@5 68.750 (72.732)
Epoch: [30][9140/14090]	Time 0.784 (0.749)	Data 0.002 (0.002)	Loss 2.1148 (2.3330)	Prec@1 46.875 (42.238)	Prec@5 78.906 (72.734)
Epoch: [30][9150/14090]	Time 0.753 (0.749)	Data 0.001 (0.002)	Loss 2.4584 (2.3330)	Prec@1 41.406 (42.238)	Prec@5 69.531 (72.735)
Epoch: [30][9160/14090]	Time 0.734 (0.749)	Data 0.001 (0.002)	Loss 2.4826 (2.3330)	Prec@1 37.500 (42.239)	Prec@5 68.750 (72.735)
Epoch: [30][9170/14090]	Time 0.732 (0.749)	Data 0.001 (0.002)	Loss 2.0540 (2.3330)	Prec@1 48.438 (42.240)	Prec@5 81.250 (72.736)
Epoch: [30][9180/14090]	Time 0.753 (0.749)	Data 0.001 (0.002)	Loss 2.3454 (2.3329)	Prec@1 39.844 (42.240)	Prec@5 72.656 (72.737)
Epoch: [30][9190/14090]	Time 0.758 (0.749)	Data 0.001 (0.002)	Loss 2.1713 (2.3328)	Prec@1 39.844 (42.242)	Prec@5 75.000 (72.740)
Epoch: [30][9200/14090]	Time 0.750 (0.749)	Data 0.001 (0.002)	Loss 2.4861 (2.3328)	Prec@1 40.625 (42.244)	Prec@5 68.750 (72.740)
Epoch: [30][9210/14090]	Time 0.720 (0.749)	Data 0.002 (0.002)	Loss 2.4528 (2.3327)	Prec@1 35.156 (42.244)	Prec@5 71.094 (72.742)
Epoch: [30][9220/14090]	Time 0.726 (0.749)	Data 0.001 (0.002)	Loss 2.4372 (2.3327)	Prec@1 38.281 (42.247)	Prec@5 68.750 (72.743)
Epoch: [30][9230/14090]	Time 0.755 (0.749)	Data 0.001 (0.002)	Loss 2.0307 (2.3325)	Prec@1 51.562 (42.250)	Prec@5 82.031 (72.746)
Epoch: [30][9240/14090]	Time 0.782 (0.749)	Data 0.001 (0.002)	Loss 2.1827 (2.3324)	Prec@1 44.531 (42.254)	Prec@5 75.000 (72.749)
Epoch: [30][9250/14090]	Time 0.738 (0.749)	Data 0.001 (0.002)	Loss 2.2389 (2.3324)	Prec@1 42.188 (42.253)	Prec@5 75.781 (72.749)
Epoch: [30][9260/14090]	Time 0.757 (0.749)	Data 0.001 (0.002)	Loss 2.0801 (2.3323)	Prec@1 46.875 (42.255)	Prec@5 75.781 (72.750)
Epoch: [30][9270/14090]	Time 0.732 (0.749)	Data 0.001 (0.002)	Loss 1.9729 (2.3322)	Prec@1 51.562 (42.254)	Prec@5 80.469 (72.752)
Epoch: [30][9280/14090]	Time 0.737 (0.749)	Data 0.002 (0.002)	Loss 2.6775 (2.3323)	Prec@1 32.812 (42.255)	Prec@5 69.531 (72.752)
Epoch: [30][9290/14090]	Time 0.732 (0.749)	Data 0.001 (0.002)	Loss 2.5030 (2.3321)	Prec@1 42.188 (42.259)	Prec@5 72.656 (72.754)
Epoch: [30][9300/14090]	Time 0.724 (0.749)	Data 0.001 (0.002)	Loss 2.3539 (2.3321)	Prec@1 47.656 (42.260)	Prec@5 71.094 (72.753)
Epoch: [30][9310/14090]	Time 0.756 (0.749)	Data 0.001 (0.002)	Loss 2.0895 (2.3320)	Prec@1 48.438 (42.262)	Prec@5 78.125 (72.755)
Epoch: [30][9320/14090]	Time 0.755 (0.749)	Data 0.001 (0.002)	Loss 2.0975 (2.3319)	Prec@1 47.656 (42.263)	Prec@5 75.000 (72.755)
Epoch: [30][9330/14090]	Time 0.750 (0.749)	Data 0.001 (0.002)	Loss 2.4330 (2.3319)	Prec@1 42.969 (42.263)	Prec@5 67.969 (72.757)
Epoch: [30][9340/14090]	Time 0.748 (0.749)	Data 0.001 (0.002)	Loss 2.1437 (2.3318)	Prec@1 45.312 (42.263)	Prec@5 75.781 (72.759)
Epoch: [30][9350/14090]	Time 0.729 (0.749)	Data 0.002 (0.002)	Loss 2.2720 (2.3319)	Prec@1 36.719 (42.261)	Prec@5 73.438 (72.757)
Epoch: [30][9360/14090]	Time 0.732 (0.749)	Data 0.001 (0.002)	Loss 2.1706 (2.3318)	Prec@1 47.656 (42.262)	Prec@5 76.562 (72.757)
Epoch: [30][9370/14090]	Time 0.727 (0.749)	Data 0.001 (0.002)	Loss 2.5305 (2.3318)	Prec@1 34.375 (42.260)	Prec@5 68.750 (72.756)
Epoch: [30][9380/14090]	Time 0.780 (0.749)	Data 0.001 (0.002)	Loss 2.2069 (2.3318)	Prec@1 46.094 (42.260)	Prec@5 74.219 (72.755)
Epoch: [30][9390/14090]	Time 0.724 (0.749)	Data 0.001 (0.002)	Loss 2.2195 (2.3316)	Prec@1 39.062 (42.262)	Prec@5 73.438 (72.758)
Epoch: [30][9400/14090]	Time 0.727 (0.749)	Data 0.001 (0.002)	Loss 2.2099 (2.3316)	Prec@1 43.750 (42.263)	Prec@5 75.781 (72.760)
Epoch: [30][9410/14090]	Time 0.723 (0.749)	Data 0.001 (0.002)	Loss 2.2523 (2.3315)	Prec@1 40.625 (42.264)	Prec@5 76.562 (72.762)
Epoch: [30][9420/14090]	Time 0.758 (0.749)	Data 0.002 (0.002)	Loss 1.9844 (2.3314)	Prec@1 49.219 (42.265)	Prec@5 78.906 (72.764)
Epoch: [30][9430/14090]	Time 0.781 (0.749)	Data 0.001 (0.002)	Loss 2.4963 (2.3313)	Prec@1 35.938 (42.266)	Prec@5 71.094 (72.764)
Epoch: [30][9440/14090]	Time 0.729 (0.749)	Data 0.001 (0.002)	Loss 1.9036 (2.3312)	Prec@1 54.688 (42.268)	Prec@5 79.688 (72.766)
Epoch: [30][9450/14090]	Time 0.771 (0.749)	Data 0.001 (0.002)	Loss 2.5462 (2.3312)	Prec@1 36.719 (42.268)	Prec@5 64.062 (72.765)
Epoch: [30][9460/14090]	Time 0.732 (0.749)	Data 0.001 (0.002)	Loss 2.1933 (2.3313)	Prec@1 46.875 (42.266)	Prec@5 74.219 (72.764)
Epoch: [30][9470/14090]	Time 0.769 (0.749)	Data 0.001 (0.002)	Loss 2.1188 (2.3313)	Prec@1 45.312 (42.266)	Prec@5 74.219 (72.764)
Epoch: [30][9480/14090]	Time 0.746 (0.749)	Data 0.002 (0.002)	Loss 2.1179 (2.3312)	Prec@1 48.438 (42.269)	Prec@5 78.906 (72.765)
Epoch: [30][9490/14090]	Time 0.719 (0.749)	Data 0.002 (0.002)	Loss 2.4319 (2.3312)	Prec@1 40.625 (42.269)	Prec@5 71.875 (72.765)
Epoch: [30][9500/14090]	Time 0.728 (0.749)	Data 0.001 (0.002)	Loss 2.0735 (2.3311)	Prec@1 44.531 (42.268)	Prec@5 76.562 (72.765)
Epoch: [30][9510/14090]	Time 0.781 (0.749)	Data 0.001 (0.002)	Loss 1.8407 (2.3311)	Prec@1 53.906 (42.269)	Prec@5 82.812 (72.767)
Epoch: [30][9520/14090]	Time 0.732 (0.749)	Data 0.001 (0.002)	Loss 2.2967 (2.3311)	Prec@1 47.656 (42.269)	Prec@5 71.094 (72.767)
Epoch: [30][9530/14090]	Time 0.772 (0.749)	Data 0.001 (0.002)	Loss 2.3910 (2.3310)	Prec@1 38.281 (42.269)	Prec@5 75.781 (72.769)
Epoch: [30][9540/14090]	Time 0.734 (0.749)	Data 0.001 (0.002)	Loss 2.0794 (2.3309)	Prec@1 46.875 (42.273)	Prec@5 75.781 (72.771)
Epoch: [30][9550/14090]	Time 0.735 (0.749)	Data 0.001 (0.002)	Loss 1.6874 (2.3308)	Prec@1 57.031 (42.274)	Prec@5 84.375 (72.772)
Epoch: [30][9560/14090]	Time 0.781 (0.749)	Data 0.002 (0.002)	Loss 2.1320 (2.3307)	Prec@1 40.625 (42.275)	Prec@5 76.562 (72.773)
Epoch: [30][9570/14090]	Time 0.764 (0.749)	Data 0.001 (0.002)	Loss 2.3423 (2.3306)	Prec@1 36.719 (42.276)	Prec@5 72.656 (72.773)
Epoch: [30][9580/14090]	Time 0.724 (0.749)	Data 0.001 (0.002)	Loss 2.3967 (2.3306)	Prec@1 36.719 (42.275)	Prec@5 72.656 (72.775)
Epoch: [30][9590/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 2.3603 (2.3306)	Prec@1 40.625 (42.274)	Prec@5 72.656 (72.776)
Epoch: [30][9600/14090]	Time 0.759 (0.749)	Data 0.001 (0.001)	Loss 2.4155 (2.3305)	Prec@1 44.531 (42.277)	Prec@5 67.969 (72.777)
Epoch: [30][9610/14090]	Time 0.768 (0.749)	Data 0.001 (0.001)	Loss 2.2463 (2.3304)	Prec@1 45.312 (42.279)	Prec@5 75.781 (72.778)
Epoch: [30][9620/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 2.4310 (2.3303)	Prec@1 39.844 (42.281)	Prec@5 73.438 (72.780)
Epoch: [30][9630/14090]	Time 0.757 (0.749)	Data 0.002 (0.001)	Loss 2.4019 (2.3302)	Prec@1 39.844 (42.283)	Prec@5 71.875 (72.782)
Epoch: [30][9640/14090]	Time 0.728 (0.749)	Data 0.001 (0.001)	Loss 2.1601 (2.3302)	Prec@1 45.312 (42.283)	Prec@5 75.781 (72.782)
Epoch: [30][9650/14090]	Time 0.740 (0.749)	Data 0.001 (0.001)	Loss 2.3996 (2.3302)	Prec@1 39.062 (42.283)	Prec@5 69.531 (72.780)
Epoch: [30][9660/14090]	Time 0.727 (0.749)	Data 0.001 (0.001)	Loss 2.1975 (2.3302)	Prec@1 46.094 (42.284)	Prec@5 74.219 (72.779)
Epoch: [30][9670/14090]	Time 0.754 (0.749)	Data 0.001 (0.001)	Loss 2.1522 (2.3301)	Prec@1 47.656 (42.286)	Prec@5 75.000 (72.780)
Epoch: [30][9680/14090]	Time 0.734 (0.749)	Data 0.001 (0.001)	Loss 2.6680 (2.3301)	Prec@1 38.281 (42.285)	Prec@5 64.062 (72.779)
Epoch: [30][9690/14090]	Time 0.747 (0.749)	Data 0.001 (0.001)	Loss 2.5709 (2.3300)	Prec@1 39.062 (42.287)	Prec@5 61.719 (72.781)
Epoch: [30][9700/14090]	Time 0.728 (0.749)	Data 0.002 (0.001)	Loss 2.1381 (2.3299)	Prec@1 44.531 (42.289)	Prec@5 80.469 (72.782)
Epoch: [30][9710/14090]	Time 0.769 (0.749)	Data 0.001 (0.001)	Loss 2.3687 (2.3300)	Prec@1 37.500 (42.290)	Prec@5 76.562 (72.782)
Epoch: [30][9720/14090]	Time 0.749 (0.749)	Data 0.001 (0.001)	Loss 2.2717 (2.3298)	Prec@1 39.062 (42.293)	Prec@5 73.438 (72.785)
Epoch: [30][9730/14090]	Time 0.753 (0.749)	Data 0.001 (0.001)	Loss 2.2125 (2.3297)	Prec@1 45.312 (42.294)	Prec@5 73.438 (72.788)
Epoch: [30][9740/14090]	Time 0.755 (0.749)	Data 0.002 (0.001)	Loss 2.3232 (2.3296)	Prec@1 46.875 (42.295)	Prec@5 72.656 (72.790)
Epoch: [30][9750/14090]	Time 0.749 (0.749)	Data 0.001 (0.001)	Loss 2.3232 (2.3297)	Prec@1 42.969 (42.295)	Prec@5 73.438 (72.790)
Epoch: [30][9760/14090]	Time 0.736 (0.749)	Data 0.001 (0.001)	Loss 2.4303 (2.3296)	Prec@1 42.188 (42.295)	Prec@5 67.969 (72.791)
Epoch: [30][9770/14090]	Time 0.787 (0.749)	Data 0.002 (0.001)	Loss 2.4111 (2.3296)	Prec@1 40.625 (42.296)	Prec@5 70.312 (72.791)
Epoch: [30][9780/14090]	Time 0.729 (0.749)	Data 0.001 (0.001)	Loss 2.3010 (2.3296)	Prec@1 44.531 (42.297)	Prec@5 71.875 (72.791)
Epoch: [30][9790/14090]	Time 0.747 (0.749)	Data 0.001 (0.001)	Loss 2.1419 (2.3295)	Prec@1 41.406 (42.298)	Prec@5 76.562 (72.794)
Epoch: [30][9800/14090]	Time 0.747 (0.749)	Data 0.001 (0.001)	Loss 2.1806 (2.3295)	Prec@1 48.438 (42.298)	Prec@5 78.906 (72.794)
Epoch: [30][9810/14090]	Time 0.758 (0.749)	Data 0.001 (0.001)	Loss 2.2818 (2.3294)	Prec@1 47.656 (42.300)	Prec@5 69.531 (72.795)
Epoch: [30][9820/14090]	Time 0.722 (0.749)	Data 0.000 (0.001)	Loss 2.3272 (2.3294)	Prec@1 42.188 (42.300)	Prec@5 74.219 (72.796)
Epoch: [30][9830/14090]	Time 0.729 (0.749)	Data 0.001 (0.001)	Loss 2.4982 (2.3294)	Prec@1 37.500 (42.300)	Prec@5 67.969 (72.796)
Epoch: [30][9840/14090]	Time 0.756 (0.749)	Data 0.002 (0.001)	Loss 2.1852 (2.3293)	Prec@1 48.438 (42.300)	Prec@5 77.344 (72.796)
Epoch: [30][9850/14090]	Time 0.764 (0.749)	Data 0.001 (0.001)	Loss 2.3471 (2.3293)	Prec@1 38.281 (42.300)	Prec@5 72.656 (72.797)
Epoch: [30][9860/14090]	Time 0.740 (0.749)	Data 0.001 (0.001)	Loss 2.3604 (2.3294)	Prec@1 44.531 (42.300)	Prec@5 72.656 (72.798)
Epoch: [30][9870/14090]	Time 0.773 (0.749)	Data 0.000 (0.001)	Loss 2.2935 (2.3293)	Prec@1 43.750 (42.300)	Prec@5 75.781 (72.799)
Epoch: [30][9880/14090]	Time 0.749 (0.749)	Data 0.001 (0.001)	Loss 2.2241 (2.3294)	Prec@1 41.406 (42.300)	Prec@5 75.781 (72.799)
Epoch: [30][9890/14090]	Time 0.776 (0.749)	Data 0.001 (0.001)	Loss 2.0009 (2.3292)	Prec@1 47.656 (42.304)	Prec@5 78.125 (72.802)
Epoch: [30][9900/14090]	Time 0.756 (0.749)	Data 0.001 (0.001)	Loss 2.2918 (2.3291)	Prec@1 37.500 (42.304)	Prec@5 73.438 (72.804)
Epoch: [30][9910/14090]	Time 0.756 (0.749)	Data 0.002 (0.001)	Loss 2.2535 (2.3291)	Prec@1 42.188 (42.307)	Prec@5 76.562 (72.806)
Epoch: [30][9920/14090]	Time 0.765 (0.749)	Data 0.001 (0.001)	Loss 2.2850 (2.3291)	Prec@1 41.406 (42.307)	Prec@5 71.875 (72.808)
Epoch: [30][9930/14090]	Time 0.762 (0.749)	Data 0.001 (0.001)	Loss 1.8987 (2.3290)	Prec@1 50.000 (42.308)	Prec@5 79.688 (72.808)
Epoch: [30][9940/14090]	Time 0.732 (0.749)	Data 0.001 (0.001)	Loss 2.1396 (2.3290)	Prec@1 46.094 (42.310)	Prec@5 76.562 (72.809)
Epoch: [30][9950/14090]	Time 0.724 (0.749)	Data 0.001 (0.001)	Loss 1.8794 (2.3289)	Prec@1 57.812 (42.312)	Prec@5 78.125 (72.809)
Epoch: [30][9960/14090]	Time 0.730 (0.749)	Data 0.001 (0.001)	Loss 2.1270 (2.3287)	Prec@1 49.219 (42.315)	Prec@5 74.219 (72.811)
Epoch: [30][9970/14090]	Time 0.749 (0.749)	Data 0.001 (0.001)	Loss 2.3742 (2.3287)	Prec@1 38.281 (42.314)	Prec@5 78.125 (72.812)
Epoch: [30][9980/14090]	Time 0.765 (0.749)	Data 0.002 (0.001)	Loss 2.3214 (2.3287)	Prec@1 40.625 (42.316)	Prec@5 75.000 (72.813)
Epoch: [30][9990/14090]	Time 0.760 (0.749)	Data 0.001 (0.001)	Loss 2.2889 (2.3286)	Prec@1 42.969 (42.317)	Prec@5 73.438 (72.815)
Epoch: [30][10000/14090]	Time 0.725 (0.749)	Data 0.001 (0.001)	Loss 2.1159 (2.3285)	Prec@1 46.094 (42.316)	Prec@5 74.219 (72.816)
Epoch: [30][10010/14090]	Time 0.758 (0.749)	Data 0.001 (0.001)	Loss 2.3160 (2.3285)	Prec@1 42.969 (42.317)	Prec@5 71.094 (72.816)
Epoch: [30][10020/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 2.2928 (2.3284)	Prec@1 44.531 (42.319)	Prec@5 73.438 (72.818)
Epoch: [30][10030/14090]	Time 0.729 (0.749)	Data 0.001 (0.001)	Loss 2.2235 (2.3283)	Prec@1 46.094 (42.321)	Prec@5 75.781 (72.819)
Epoch: [30][10040/14090]	Time 0.754 (0.749)	Data 0.001 (0.001)	Loss 2.1022 (2.3282)	Prec@1 53.906 (42.323)	Prec@5 75.781 (72.822)
Epoch: [30][10050/14090]	Time 0.754 (0.749)	Data 0.003 (0.001)	Loss 2.0909 (2.3281)	Prec@1 42.969 (42.326)	Prec@5 75.781 (72.824)
Epoch: [30][10060/14090]	Time 0.735 (0.749)	Data 0.001 (0.001)	Loss 2.3454 (2.3281)	Prec@1 41.406 (42.327)	Prec@5 73.438 (72.824)
Epoch: [30][10070/14090]	Time 0.725 (0.749)	Data 0.001 (0.001)	Loss 2.2453 (2.3282)	Prec@1 46.875 (42.326)	Prec@5 77.344 (72.824)
Epoch: [30][10080/14090]	Time 0.737 (0.749)	Data 0.001 (0.001)	Loss 2.5694 (2.3282)	Prec@1 35.156 (42.324)	Prec@5 67.188 (72.824)
Epoch: [30][10090/14090]	Time 0.736 (0.749)	Data 0.001 (0.001)	Loss 2.1439 (2.3281)	Prec@1 50.781 (42.324)	Prec@5 75.781 (72.824)
Epoch: [30][10100/14090]	Time 0.788 (0.749)	Data 0.001 (0.001)	Loss 2.0496 (2.3281)	Prec@1 50.781 (42.323)	Prec@5 78.125 (72.825)
Epoch: [30][10110/14090]	Time 0.745 (0.749)	Data 0.001 (0.001)	Loss 2.2685 (2.3280)	Prec@1 44.531 (42.325)	Prec@5 74.219 (72.828)
Epoch: [30][10120/14090]	Time 0.724 (0.749)	Data 0.002 (0.001)	Loss 2.0772 (2.3279)	Prec@1 45.312 (42.327)	Prec@5 81.250 (72.829)
Epoch: [30][10130/14090]	Time 0.755 (0.749)	Data 0.001 (0.001)	Loss 2.2244 (2.3279)	Prec@1 43.750 (42.325)	Prec@5 72.656 (72.827)
Epoch: [30][10140/14090]	Time 0.734 (0.749)	Data 0.001 (0.001)	Loss 2.2997 (2.3279)	Prec@1 48.438 (42.325)	Prec@5 73.438 (72.828)
Epoch: [30][10150/14090]	Time 0.739 (0.749)	Data 0.000 (0.001)	Loss 2.1341 (2.3277)	Prec@1 47.656 (42.326)	Prec@5 72.656 (72.831)
Epoch: [30][10160/14090]	Time 0.760 (0.749)	Data 0.001 (0.001)	Loss 2.4869 (2.3277)	Prec@1 39.062 (42.327)	Prec@5 70.312 (72.830)
Epoch: [30][10170/14090]	Time 0.776 (0.749)	Data 0.001 (0.001)	Loss 1.9670 (2.3277)	Prec@1 49.219 (42.327)	Prec@5 76.562 (72.831)
Epoch: [30][10180/14090]	Time 0.754 (0.749)	Data 0.001 (0.001)	Loss 2.4515 (2.3277)	Prec@1 39.844 (42.327)	Prec@5 67.969 (72.831)
Epoch: [30][10190/14090]	Time 0.742 (0.749)	Data 0.002 (0.001)	Loss 2.1905 (2.3277)	Prec@1 44.531 (42.327)	Prec@5 74.219 (72.831)
Epoch: [30][10200/14090]	Time 0.755 (0.749)	Data 0.001 (0.001)	Loss 2.1106 (2.3276)	Prec@1 50.781 (42.329)	Prec@5 73.438 (72.831)
Epoch: [30][10210/14090]	Time 0.741 (0.749)	Data 0.001 (0.001)	Loss 2.0129 (2.3275)	Prec@1 44.531 (42.331)	Prec@5 80.469 (72.833)
Epoch: [30][10220/14090]	Time 0.760 (0.749)	Data 0.001 (0.001)	Loss 2.4007 (2.3275)	Prec@1 42.188 (42.331)	Prec@5 75.781 (72.833)
Epoch: [30][10230/14090]	Time 0.733 (0.749)	Data 0.001 (0.001)	Loss 2.1905 (2.3275)	Prec@1 43.750 (42.332)	Prec@5 77.344 (72.833)
Epoch: [30][10240/14090]	Time 0.739 (0.749)	Data 0.001 (0.001)	Loss 1.9979 (2.3274)	Prec@1 50.781 (42.335)	Prec@5 79.688 (72.834)
Epoch: [30][10250/14090]	Time 0.752 (0.749)	Data 0.001 (0.001)	Loss 2.0685 (2.3273)	Prec@1 42.969 (42.338)	Prec@5 81.250 (72.836)
Epoch: [30][10260/14090]	Time 0.741 (0.749)	Data 0.002 (0.001)	Loss 2.2436 (2.3271)	Prec@1 49.219 (42.340)	Prec@5 71.094 (72.839)
Epoch: [30][10270/14090]	Time 0.752 (0.749)	Data 0.001 (0.001)	Loss 2.1211 (2.3272)	Prec@1 47.656 (42.339)	Prec@5 75.781 (72.838)
Epoch: [30][10280/14090]	Time 0.730 (0.749)	Data 0.001 (0.001)	Loss 2.5770 (2.3272)	Prec@1 36.719 (42.338)	Prec@5 65.625 (72.838)
Epoch: [30][10290/14090]	Time 0.761 (0.749)	Data 0.001 (0.001)	Loss 2.4618 (2.3272)	Prec@1 44.531 (42.338)	Prec@5 71.875 (72.838)
Epoch: [30][10300/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 2.2519 (2.3273)	Prec@1 42.969 (42.334)	Prec@5 79.688 (72.837)
Epoch: [30][10310/14090]	Time 0.747 (0.749)	Data 0.001 (0.001)	Loss 2.2801 (2.3271)	Prec@1 46.875 (42.338)	Prec@5 75.000 (72.840)
Epoch: [30][10320/14090]	Time 0.774 (0.749)	Data 0.001 (0.001)	Loss 2.2892 (2.3271)	Prec@1 46.094 (42.339)	Prec@5 72.656 (72.841)
Epoch: [30][10330/14090]	Time 0.738 (0.749)	Data 0.002 (0.001)	Loss 2.2325 (2.3270)	Prec@1 42.188 (42.339)	Prec@5 71.094 (72.842)
Epoch: [30][10340/14090]	Time 0.762 (0.749)	Data 0.001 (0.001)	Loss 2.3262 (2.3270)	Prec@1 45.312 (42.339)	Prec@5 69.531 (72.843)
Epoch: [30][10350/14090]	Time 0.733 (0.749)	Data 0.001 (0.001)	Loss 2.0955 (2.3269)	Prec@1 43.750 (42.340)	Prec@5 78.125 (72.844)
Epoch: [30][10360/14090]	Time 0.767 (0.749)	Data 0.001 (0.001)	Loss 2.4380 (2.3268)	Prec@1 42.188 (42.342)	Prec@5 71.094 (72.846)
Epoch: [30][10370/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 2.2577 (2.3267)	Prec@1 42.969 (42.342)	Prec@5 71.094 (72.847)
Epoch: [30][10380/14090]	Time 0.753 (0.749)	Data 0.001 (0.001)	Loss 2.1969 (2.3266)	Prec@1 46.094 (42.344)	Prec@5 73.438 (72.849)
Epoch: [30][10390/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 2.2225 (2.3264)	Prec@1 46.094 (42.348)	Prec@5 73.438 (72.853)
Epoch: [30][10400/14090]	Time 0.752 (0.749)	Data 0.003 (0.001)	Loss 1.8893 (2.3263)	Prec@1 50.781 (42.350)	Prec@5 83.594 (72.854)
Epoch: [30][10410/14090]	Time 0.765 (0.749)	Data 0.001 (0.001)	Loss 2.1155 (2.3262)	Prec@1 46.094 (42.352)	Prec@5 79.688 (72.857)
Epoch: [30][10420/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 2.4383 (2.3262)	Prec@1 35.938 (42.355)	Prec@5 68.750 (72.856)
Epoch: [30][10430/14090]	Time 0.750 (0.749)	Data 0.001 (0.001)	Loss 2.3475 (2.3262)	Prec@1 44.531 (42.354)	Prec@5 74.219 (72.857)
Epoch: [30][10440/14090]	Time 0.733 (0.749)	Data 0.001 (0.001)	Loss 2.5576 (2.3263)	Prec@1 39.844 (42.354)	Prec@5 68.750 (72.857)
Epoch: [30][10450/14090]	Time 0.767 (0.749)	Data 0.001 (0.001)	Loss 2.6843 (2.3263)	Prec@1 31.250 (42.355)	Prec@5 67.969 (72.856)
Epoch: [30][10460/14090]	Time 0.758 (0.749)	Data 0.001 (0.001)	Loss 2.3603 (2.3263)	Prec@1 39.062 (42.355)	Prec@5 71.875 (72.856)
Epoch: [30][10470/14090]	Time 0.731 (0.749)	Data 0.001 (0.001)	Loss 1.9270 (2.3262)	Prec@1 51.562 (42.357)	Prec@5 81.250 (72.858)
Epoch: [30][10480/14090]	Time 0.759 (0.749)	Data 0.001 (0.001)	Loss 2.2339 (2.3261)	Prec@1 48.438 (42.359)	Prec@5 75.000 (72.859)
Epoch: [30][10490/14090]	Time 0.746 (0.749)	Data 0.001 (0.001)	Loss 2.0190 (2.3261)	Prec@1 51.562 (42.360)	Prec@5 78.906 (72.860)
Epoch: [30][10500/14090]	Time 0.736 (0.749)	Data 0.001 (0.001)	Loss 1.8444 (2.3259)	Prec@1 46.094 (42.362)	Prec@5 82.812 (72.862)
Epoch: [30][10510/14090]	Time 0.778 (0.749)	Data 0.001 (0.001)	Loss 2.0598 (2.3259)	Prec@1 43.750 (42.363)	Prec@5 78.906 (72.863)
Epoch: [30][10520/14090]	Time 0.736 (0.749)	Data 0.001 (0.001)	Loss 2.3350 (2.3259)	Prec@1 41.406 (42.364)	Prec@5 69.531 (72.862)
Epoch: [30][10530/14090]	Time 0.747 (0.749)	Data 0.001 (0.001)	Loss 2.1160 (2.3259)	Prec@1 44.531 (42.363)	Prec@5 80.469 (72.862)
Epoch: [30][10540/14090]	Time 0.731 (0.749)	Data 0.002 (0.001)	Loss 2.4128 (2.3259)	Prec@1 34.375 (42.363)	Prec@5 75.000 (72.864)
Epoch: [30][10550/14090]	Time 0.766 (0.749)	Data 0.001 (0.001)	Loss 2.3129 (2.3258)	Prec@1 41.406 (42.364)	Prec@5 71.875 (72.866)
Epoch: [30][10560/14090]	Time 0.728 (0.749)	Data 0.001 (0.001)	Loss 2.4083 (2.3258)	Prec@1 39.062 (42.366)	Prec@5 71.094 (72.867)
Epoch: [30][10570/14090]	Time 0.763 (0.749)	Data 0.001 (0.001)	Loss 2.3549 (2.3259)	Prec@1 40.625 (42.365)	Prec@5 74.219 (72.866)
Epoch: [30][10580/14090]	Time 0.726 (0.749)	Data 0.001 (0.001)	Loss 2.5390 (2.3259)	Prec@1 43.750 (42.365)	Prec@5 65.625 (72.866)
Epoch: [30][10590/14090]	Time 0.741 (0.749)	Data 0.001 (0.001)	Loss 2.5272 (2.3259)	Prec@1 36.719 (42.364)	Prec@5 66.406 (72.865)
Epoch: [30][10600/14090]	Time 0.762 (0.749)	Data 0.001 (0.001)	Loss 2.1363 (2.3259)	Prec@1 44.531 (42.365)	Prec@5 78.125 (72.867)
Epoch: [30][10610/14090]	Time 0.771 (0.749)	Data 0.002 (0.001)	Loss 2.3126 (2.3258)	Prec@1 37.500 (42.366)	Prec@5 74.219 (72.870)
Epoch: [30][10620/14090]	Time 0.736 (0.749)	Data 0.001 (0.001)	Loss 2.2929 (2.3257)	Prec@1 43.750 (42.366)	Prec@5 71.094 (72.871)
Epoch: [30][10630/14090]	Time 0.775 (0.749)	Data 0.001 (0.001)	Loss 1.8988 (2.3256)	Prec@1 50.000 (42.368)	Prec@5 82.031 (72.873)
Epoch: [30][10640/14090]	Time 0.773 (0.749)	Data 0.001 (0.001)	Loss 2.3609 (2.3255)	Prec@1 42.969 (42.371)	Prec@5 72.656 (72.876)
Epoch: [30][10650/14090]	Time 0.747 (0.749)	Data 0.001 (0.001)	Loss 2.4334 (2.3254)	Prec@1 37.500 (42.371)	Prec@5 74.219 (72.878)
Epoch: [30][10660/14090]	Time 0.772 (0.749)	Data 0.001 (0.001)	Loss 2.1816 (2.3253)	Prec@1 41.406 (42.372)	Prec@5 72.656 (72.879)
Epoch: [30][10670/14090]	Time 0.756 (0.749)	Data 0.001 (0.001)	Loss 2.0239 (2.3253)	Prec@1 47.656 (42.373)	Prec@5 78.125 (72.882)
Epoch: [30][10680/14090]	Time 0.777 (0.749)	Data 0.002 (0.001)	Loss 2.2723 (2.3252)	Prec@1 43.750 (42.375)	Prec@5 71.094 (72.882)
Epoch: [30][10690/14090]	Time 0.763 (0.749)	Data 0.001 (0.001)	Loss 2.1513 (2.3251)	Prec@1 39.844 (42.376)	Prec@5 75.000 (72.883)
Epoch: [30][10700/14090]	Time 0.744 (0.749)	Data 0.001 (0.001)	Loss 2.5602 (2.3251)	Prec@1 38.281 (42.377)	Prec@5 67.188 (72.884)
Epoch: [30][10710/14090]	Time 0.782 (0.749)	Data 0.001 (0.001)	Loss 2.3198 (2.3250)	Prec@1 42.969 (42.380)	Prec@5 74.219 (72.886)
Epoch: [30][10720/14090]	Time 0.732 (0.749)	Data 0.002 (0.001)	Loss 1.9213 (2.3249)	Prec@1 53.125 (42.384)	Prec@5 83.594 (72.887)
Epoch: [30][10730/14090]	Time 0.799 (0.749)	Data 0.001 (0.001)	Loss 2.3436 (2.3248)	Prec@1 43.750 (42.386)	Prec@5 67.969 (72.889)
Epoch: [30][10740/14090]	Time 0.745 (0.749)	Data 0.001 (0.001)	Loss 2.2571 (2.3247)	Prec@1 40.625 (42.389)	Prec@5 78.125 (72.892)
Epoch: [30][10750/14090]	Time 0.730 (0.749)	Data 0.002 (0.001)	Loss 2.3715 (2.3246)	Prec@1 46.094 (42.389)	Prec@5 71.875 (72.893)
Epoch: [30][10760/14090]	Time 0.777 (0.749)	Data 0.001 (0.001)	Loss 2.3532 (2.3247)	Prec@1 42.969 (42.390)	Prec@5 73.438 (72.893)
Epoch: [30][10770/14090]	Time 0.741 (0.749)	Data 0.001 (0.001)	Loss 2.5731 (2.3247)	Prec@1 35.938 (42.389)	Prec@5 67.969 (72.893)
Epoch: [30][10780/14090]	Time 0.749 (0.749)	Data 0.001 (0.001)	Loss 2.3210 (2.3245)	Prec@1 46.094 (42.392)	Prec@5 71.875 (72.895)
Epoch: [30][10790/14090]	Time 0.748 (0.749)	Data 0.001 (0.001)	Loss 2.4480 (2.3245)	Prec@1 39.844 (42.393)	Prec@5 67.969 (72.896)
Epoch: [30][10800/14090]	Time 0.760 (0.749)	Data 0.001 (0.001)	Loss 2.0826 (2.3245)	Prec@1 49.219 (42.393)	Prec@5 77.344 (72.896)
Epoch: [30][10810/14090]	Time 0.762 (0.749)	Data 0.001 (0.001)	Loss 2.4381 (2.3244)	Prec@1 42.188 (42.395)	Prec@5 69.531 (72.897)
Epoch: [30][10820/14090]	Time 0.754 (0.749)	Data 0.002 (0.001)	Loss 2.6313 (2.3243)	Prec@1 39.844 (42.396)	Prec@5 61.719 (72.898)
Epoch: [30][10830/14090]	Time 0.732 (0.749)	Data 0.001 (0.001)	Loss 2.2322 (2.3242)	Prec@1 39.844 (42.397)	Prec@5 78.125 (72.900)
Epoch: [30][10840/14090]	Time 0.765 (0.749)	Data 0.001 (0.001)	Loss 1.9106 (2.3241)	Prec@1 52.344 (42.400)	Prec@5 82.031 (72.904)
Epoch: [30][10850/14090]	Time 0.748 (0.749)	Data 0.001 (0.001)	Loss 2.3795 (2.3240)	Prec@1 48.438 (42.401)	Prec@5 69.531 (72.906)
Epoch: [30][10860/14090]	Time 0.746 (0.749)	Data 0.001 (0.001)	Loss 2.8420 (2.3241)	Prec@1 31.250 (42.400)	Prec@5 60.938 (72.905)
Epoch: [30][10870/14090]	Time 0.730 (0.749)	Data 0.001 (0.001)	Loss 2.0900 (2.3240)	Prec@1 46.875 (42.402)	Prec@5 79.688 (72.906)
Epoch: [30][10880/14090]	Time 0.726 (0.749)	Data 0.001 (0.001)	Loss 2.2626 (2.3239)	Prec@1 41.406 (42.403)	Prec@5 73.438 (72.907)
Epoch: [30][10890/14090]	Time 0.746 (0.749)	Data 0.002 (0.001)	Loss 2.0158 (2.3238)	Prec@1 45.312 (42.405)	Prec@5 80.469 (72.909)
Epoch: [30][10900/14090]	Time 0.741 (0.749)	Data 0.001 (0.001)	Loss 2.4290 (2.3238)	Prec@1 41.406 (42.407)	Prec@5 68.750 (72.910)
Epoch: [30][10910/14090]	Time 0.747 (0.749)	Data 0.001 (0.001)	Loss 2.4848 (2.3238)	Prec@1 41.406 (42.407)	Prec@5 71.875 (72.909)
Epoch: [30][10920/14090]	Time 0.744 (0.749)	Data 0.001 (0.001)	Loss 2.1247 (2.3238)	Prec@1 45.312 (42.407)	Prec@5 74.219 (72.907)
Epoch: [30][10930/14090]	Time 0.764 (0.749)	Data 0.001 (0.001)	Loss 2.1126 (2.3237)	Prec@1 41.406 (42.406)	Prec@5 79.688 (72.907)
Epoch: [30][10940/14090]	Time 0.765 (0.749)	Data 0.001 (0.001)	Loss 2.3158 (2.3237)	Prec@1 43.750 (42.407)	Prec@5 72.656 (72.908)
Epoch: [30][10950/14090]	Time 0.757 (0.749)	Data 0.001 (0.001)	Loss 2.2047 (2.3236)	Prec@1 42.188 (42.407)	Prec@5 78.906 (72.909)
Epoch: [30][10960/14090]	Time 0.736 (0.749)	Data 0.002 (0.001)	Loss 1.9312 (2.3236)	Prec@1 49.219 (42.408)	Prec@5 78.906 (72.911)
Epoch: [30][10970/14090]	Time 0.752 (0.749)	Data 0.001 (0.001)	Loss 2.3136 (2.3235)	Prec@1 42.969 (42.409)	Prec@5 75.000 (72.913)
Epoch: [30][10980/14090]	Time 0.756 (0.749)	Data 0.001 (0.001)	Loss 2.3813 (2.3236)	Prec@1 37.500 (42.407)	Prec@5 69.531 (72.912)
Epoch: [30][10990/14090]	Time 0.766 (0.749)	Data 0.001 (0.001)	Loss 2.4177 (2.3236)	Prec@1 39.062 (42.408)	Prec@5 73.438 (72.913)
Epoch: [30][11000/14090]	Time 0.754 (0.749)	Data 0.001 (0.001)	Loss 1.9051 (2.3235)	Prec@1 50.000 (42.410)	Prec@5 85.156 (72.915)
Epoch: [30][11010/14090]	Time 0.746 (0.749)	Data 0.001 (0.001)	Loss 2.0861 (2.3234)	Prec@1 43.750 (42.412)	Prec@5 78.125 (72.916)
Epoch: [30][11020/14090]	Time 0.757 (0.749)	Data 0.001 (0.001)	Loss 2.1334 (2.3233)	Prec@1 49.219 (42.413)	Prec@5 78.906 (72.919)
Epoch: [30][11030/14090]	Time 0.740 (0.749)	Data 0.002 (0.001)	Loss 2.1200 (2.3232)	Prec@1 48.438 (42.415)	Prec@5 76.562 (72.920)
Epoch: [30][11040/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 2.2917 (2.3232)	Prec@1 44.531 (42.414)	Prec@5 71.875 (72.920)
Epoch: [30][11050/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 2.0493 (2.3232)	Prec@1 50.781 (42.415)	Prec@5 79.688 (72.923)
Epoch: [30][11060/14090]	Time 0.724 (0.749)	Data 0.001 (0.001)	Loss 2.4255 (2.3232)	Prec@1 40.625 (42.415)	Prec@5 70.312 (72.924)
Epoch: [30][11070/14090]	Time 0.740 (0.749)	Data 0.001 (0.001)	Loss 2.3171 (2.3232)	Prec@1 45.312 (42.414)	Prec@5 68.750 (72.922)
Epoch: [30][11080/14090]	Time 0.750 (0.749)	Data 0.001 (0.001)	Loss 2.1259 (2.3232)	Prec@1 40.625 (42.415)	Prec@5 76.562 (72.923)
Epoch: [30][11090/14090]	Time 0.743 (0.749)	Data 0.001 (0.001)	Loss 2.2569 (2.3231)	Prec@1 46.094 (42.415)	Prec@5 75.000 (72.925)
Epoch: [30][11100/14090]	Time 0.718 (0.749)	Data 0.002 (0.001)	Loss 2.2460 (2.3231)	Prec@1 42.188 (42.415)	Prec@5 77.344 (72.927)
Epoch: [30][11110/14090]	Time 0.725 (0.749)	Data 0.001 (0.001)	Loss 2.4694 (2.3230)	Prec@1 42.969 (42.415)	Prec@5 69.531 (72.927)
Epoch: [30][11120/14090]	Time 0.765 (0.749)	Data 0.001 (0.001)	Loss 2.4070 (2.3230)	Prec@1 40.625 (42.416)	Prec@5 70.312 (72.928)
Epoch: [30][11130/14090]	Time 0.749 (0.749)	Data 0.001 (0.001)	Loss 2.6345 (2.3230)	Prec@1 40.625 (42.417)	Prec@5 69.531 (72.928)
Epoch: [30][11140/14090]	Time 0.770 (0.749)	Data 0.001 (0.001)	Loss 2.3893 (2.3229)	Prec@1 38.281 (42.418)	Prec@5 68.750 (72.931)
Epoch: [30][11150/14090]	Time 0.750 (0.749)	Data 0.001 (0.001)	Loss 2.4375 (2.3229)	Prec@1 39.844 (42.418)	Prec@5 71.094 (72.931)
Epoch: [30][11160/14090]	Time 0.764 (0.749)	Data 0.001 (0.001)	Loss 2.0154 (2.3227)	Prec@1 50.000 (42.419)	Prec@5 80.469 (72.934)
Epoch: [30][11170/14090]	Time 0.759 (0.749)	Data 0.002 (0.001)	Loss 1.9155 (2.3227)	Prec@1 47.656 (42.420)	Prec@5 78.906 (72.934)
Epoch: [30][11180/14090]	Time 0.753 (0.749)	Data 0.001 (0.001)	Loss 2.3482 (2.3227)	Prec@1 44.531 (42.420)	Prec@5 71.094 (72.934)
Epoch: [30][11190/14090]	Time 0.745 (0.749)	Data 0.001 (0.001)	Loss 2.4648 (2.3227)	Prec@1 35.156 (42.420)	Prec@5 71.875 (72.935)
Epoch: [30][11200/14090]	Time 0.743 (0.749)	Data 0.001 (0.001)	Loss 2.2915 (2.3226)	Prec@1 49.219 (42.420)	Prec@5 73.438 (72.935)
Epoch: [30][11210/14090]	Time 0.735 (0.749)	Data 0.001 (0.001)	Loss 2.3217 (2.3225)	Prec@1 46.094 (42.425)	Prec@5 78.906 (72.937)
Epoch: [30][11220/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 2.1729 (2.3224)	Prec@1 43.750 (42.425)	Prec@5 73.438 (72.937)
Epoch: [30][11230/14090]	Time 0.755 (0.749)	Data 0.001 (0.001)	Loss 2.4228 (2.3224)	Prec@1 43.750 (42.427)	Prec@5 70.312 (72.939)
Epoch: [30][11240/14090]	Time 0.758 (0.749)	Data 0.002 (0.001)	Loss 2.3568 (2.3223)	Prec@1 45.312 (42.429)	Prec@5 72.656 (72.942)
Epoch: [30][11250/14090]	Time 0.767 (0.749)	Data 0.001 (0.001)	Loss 2.4252 (2.3223)	Prec@1 39.062 (42.430)	Prec@5 68.750 (72.942)
Epoch: [30][11260/14090]	Time 0.736 (0.749)	Data 0.001 (0.001)	Loss 2.3204 (2.3222)	Prec@1 47.656 (42.432)	Prec@5 71.875 (72.944)
Epoch: [30][11270/14090]	Time 0.735 (0.749)	Data 0.001 (0.001)	Loss 2.4202 (2.3221)	Prec@1 38.281 (42.433)	Prec@5 71.094 (72.946)
Epoch: [30][11280/14090]	Time 0.733 (0.749)	Data 0.001 (0.001)	Loss 2.1543 (2.3221)	Prec@1 48.438 (42.434)	Prec@5 73.438 (72.947)
Epoch: [30][11290/14090]	Time 0.729 (0.749)	Data 0.001 (0.001)	Loss 2.3791 (2.3221)	Prec@1 41.406 (42.434)	Prec@5 75.781 (72.947)
Epoch: [30][11300/14090]	Time 0.734 (0.749)	Data 0.001 (0.001)	Loss 2.3405 (2.3220)	Prec@1 40.625 (42.435)	Prec@5 77.344 (72.949)
Epoch: [30][11310/14090]	Time 0.751 (0.749)	Data 0.002 (0.001)	Loss 1.9766 (2.3219)	Prec@1 45.312 (42.436)	Prec@5 83.594 (72.952)
Epoch: [30][11320/14090]	Time 0.734 (0.749)	Data 0.001 (0.001)	Loss 2.3923 (2.3218)	Prec@1 42.188 (42.436)	Prec@5 68.750 (72.952)
Epoch: [30][11330/14090]	Time 0.776 (0.749)	Data 0.001 (0.001)	Loss 2.2930 (2.3218)	Prec@1 42.188 (42.437)	Prec@5 72.656 (72.953)
Epoch: [30][11340/14090]	Time 0.755 (0.749)	Data 0.001 (0.001)	Loss 2.0353 (2.3217)	Prec@1 46.875 (42.437)	Prec@5 78.906 (72.953)
Epoch: [30][11350/14090]	Time 0.757 (0.749)	Data 0.001 (0.001)	Loss 2.3120 (2.3217)	Prec@1 44.531 (42.440)	Prec@5 72.656 (72.954)
Epoch: [30][11360/14090]	Time 0.749 (0.749)	Data 0.001 (0.001)	Loss 1.9796 (2.3216)	Prec@1 50.000 (42.442)	Prec@5 78.125 (72.956)
Epoch: [30][11370/14090]	Time 0.755 (0.749)	Data 0.002 (0.001)	Loss 2.1168 (2.3216)	Prec@1 42.969 (42.442)	Prec@5 75.000 (72.957)
Epoch: [30][11380/14090]	Time 0.738 (0.749)	Data 0.002 (0.001)	Loss 2.2924 (2.3214)	Prec@1 45.312 (42.444)	Prec@5 76.562 (72.958)
Epoch: [30][11390/14090]	Time 0.737 (0.749)	Data 0.001 (0.001)	Loss 2.0298 (2.3213)	Prec@1 45.312 (42.447)	Prec@5 78.125 (72.960)
Epoch: [30][11400/14090]	Time 0.730 (0.749)	Data 0.001 (0.001)	Loss 2.3063 (2.3213)	Prec@1 41.406 (42.449)	Prec@5 71.094 (72.960)
Epoch: [30][11410/14090]	Time 0.742 (0.749)	Data 0.001 (0.001)	Loss 2.1229 (2.3212)	Prec@1 38.281 (42.450)	Prec@5 78.906 (72.962)
Epoch: [30][11420/14090]	Time 0.773 (0.749)	Data 0.001 (0.001)	Loss 2.0938 (2.3211)	Prec@1 46.875 (42.451)	Prec@5 76.562 (72.963)
Epoch: [30][11430/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 2.2908 (2.3211)	Prec@1 41.406 (42.451)	Prec@5 74.219 (72.964)
Epoch: [30][11440/14090]	Time 0.741 (0.749)	Data 0.001 (0.001)	Loss 2.3265 (2.3210)	Prec@1 39.062 (42.452)	Prec@5 73.438 (72.965)
Epoch: [30][11450/14090]	Time 0.768 (0.749)	Data 0.002 (0.001)	Loss 1.9319 (2.3209)	Prec@1 51.562 (42.456)	Prec@5 80.469 (72.967)
Epoch: [30][11460/14090]	Time 0.728 (0.749)	Data 0.001 (0.001)	Loss 2.3937 (2.3209)	Prec@1 41.406 (42.457)	Prec@5 68.750 (72.967)
Epoch: [30][11470/14090]	Time 0.780 (0.749)	Data 0.001 (0.001)	Loss 2.2522 (2.3208)	Prec@1 47.656 (42.457)	Prec@5 73.438 (72.967)
Epoch: [30][11480/14090]	Time 0.742 (0.749)	Data 0.001 (0.001)	Loss 2.3685 (2.3207)	Prec@1 42.188 (42.459)	Prec@5 73.438 (72.969)
Epoch: [30][11490/14090]	Time 0.729 (0.749)	Data 0.001 (0.001)	Loss 2.2769 (2.3207)	Prec@1 46.875 (42.459)	Prec@5 73.438 (72.969)
Epoch: [30][11500/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 2.4652 (2.3206)	Prec@1 35.938 (42.460)	Prec@5 69.531 (72.971)
Epoch: [30][11510/14090]	Time 0.750 (0.749)	Data 0.001 (0.001)	Loss 2.2581 (2.3206)	Prec@1 47.656 (42.461)	Prec@5 69.531 (72.973)
Epoch: [30][11520/14090]	Time 0.729 (0.749)	Data 0.003 (0.001)	Loss 2.2910 (2.3205)	Prec@1 43.750 (42.461)	Prec@5 75.000 (72.974)
Epoch: [30][11530/14090]	Time 0.770 (0.749)	Data 0.001 (0.001)	Loss 2.1851 (2.3205)	Prec@1 43.750 (42.460)	Prec@5 79.688 (72.975)
Epoch: [30][11540/14090]	Time 0.750 (0.749)	Data 0.001 (0.001)	Loss 2.3175 (2.3205)	Prec@1 41.406 (42.460)	Prec@5 69.531 (72.974)
Epoch: [30][11550/14090]	Time 0.755 (0.749)	Data 0.001 (0.001)	Loss 2.3233 (2.3204)	Prec@1 40.625 (42.462)	Prec@5 74.219 (72.976)
Epoch: [30][11560/14090]	Time 0.760 (0.749)	Data 0.001 (0.001)	Loss 2.0705 (2.3203)	Prec@1 50.000 (42.464)	Prec@5 78.906 (72.976)
Epoch: [30][11570/14090]	Time 0.744 (0.749)	Data 0.001 (0.001)	Loss 1.9015 (2.3202)	Prec@1 51.562 (42.466)	Prec@5 80.469 (72.978)
Epoch: [30][11580/14090]	Time 0.724 (0.749)	Data 0.001 (0.001)	Loss 2.5065 (2.3202)	Prec@1 35.938 (42.466)	Prec@5 68.750 (72.978)
Epoch: [30][11590/14090]	Time 0.733 (0.749)	Data 0.002 (0.001)	Loss 2.2079 (2.3202)	Prec@1 39.062 (42.468)	Prec@5 75.781 (72.979)
Epoch: [30][11600/14090]	Time 0.742 (0.749)	Data 0.001 (0.001)	Loss 2.3563 (2.3202)	Prec@1 39.844 (42.469)	Prec@5 71.875 (72.980)
Epoch: [30][11610/14090]	Time 0.749 (0.749)	Data 0.001 (0.001)	Loss 2.1652 (2.3202)	Prec@1 45.312 (42.469)	Prec@5 75.000 (72.979)
Epoch: [30][11620/14090]	Time 0.745 (0.749)	Data 0.001 (0.001)	Loss 2.5012 (2.3202)	Prec@1 42.969 (42.469)	Prec@5 69.531 (72.978)
Epoch: [30][11630/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 2.3307 (2.3202)	Prec@1 45.312 (42.471)	Prec@5 76.562 (72.979)
Epoch: [30][11640/14090]	Time 0.737 (0.749)	Data 0.001 (0.001)	Loss 2.1869 (2.3201)	Prec@1 45.312 (42.474)	Prec@5 78.125 (72.979)
Epoch: [30][11650/14090]	Time 0.781 (0.749)	Data 0.001 (0.001)	Loss 1.9780 (2.3200)	Prec@1 52.344 (42.477)	Prec@5 80.469 (72.981)
Epoch: [30][11660/14090]	Time 0.756 (0.749)	Data 0.002 (0.001)	Loss 2.0643 (2.3199)	Prec@1 42.969 (42.480)	Prec@5 75.000 (72.982)
Epoch: [30][11670/14090]	Time 0.739 (0.749)	Data 0.001 (0.001)	Loss 2.1345 (2.3198)	Prec@1 45.312 (42.480)	Prec@5 82.031 (72.983)
Epoch: [30][11680/14090]	Time 0.729 (0.749)	Data 0.001 (0.001)	Loss 2.0520 (2.3198)	Prec@1 44.531 (42.481)	Prec@5 77.344 (72.984)
Epoch: [30][11690/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 2.3775 (2.3198)	Prec@1 41.406 (42.481)	Prec@5 71.094 (72.985)
Epoch: [30][11700/14090]	Time 0.750 (0.749)	Data 0.001 (0.001)	Loss 2.4349 (2.3197)	Prec@1 41.406 (42.482)	Prec@5 72.656 (72.986)
Epoch: [30][11710/14090]	Time 0.740 (0.749)	Data 0.001 (0.001)	Loss 2.5998 (2.3197)	Prec@1 39.062 (42.481)	Prec@5 73.438 (72.987)
Epoch: [30][11720/14090]	Time 0.747 (0.749)	Data 0.002 (0.001)	Loss 2.3030 (2.3197)	Prec@1 47.656 (42.484)	Prec@5 71.875 (72.989)
Epoch: [30][11730/14090]	Time 0.735 (0.749)	Data 0.002 (0.001)	Loss 2.1303 (2.3196)	Prec@1 42.188 (42.485)	Prec@5 73.438 (72.990)
Epoch: [30][11740/14090]	Time 0.749 (0.749)	Data 0.001 (0.001)	Loss 2.0922 (2.3195)	Prec@1 51.562 (42.485)	Prec@5 75.781 (72.992)
Epoch: [30][11750/14090]	Time 0.756 (0.749)	Data 0.001 (0.001)	Loss 2.3864 (2.3195)	Prec@1 41.406 (42.485)	Prec@5 71.875 (72.992)
Epoch: [30][11760/14090]	Time 0.777 (0.749)	Data 0.001 (0.001)	Loss 2.3562 (2.3195)	Prec@1 44.531 (42.484)	Prec@5 74.219 (72.992)
Epoch: [30][11770/14090]	Time 0.773 (0.749)	Data 0.001 (0.001)	Loss 2.2182 (2.3195)	Prec@1 44.531 (42.485)	Prec@5 75.000 (72.993)
Epoch: [30][11780/14090]	Time 0.734 (0.749)	Data 0.001 (0.001)	Loss 2.2907 (2.3194)	Prec@1 40.625 (42.485)	Prec@5 74.219 (72.994)
Epoch: [30][11790/14090]	Time 0.748 (0.749)	Data 0.001 (0.001)	Loss 2.4546 (2.3194)	Prec@1 42.188 (42.486)	Prec@5 78.125 (72.995)
Epoch: [30][11800/14090]	Time 0.758 (0.749)	Data 0.003 (0.001)	Loss 2.1437 (2.3194)	Prec@1 46.094 (42.486)	Prec@5 76.562 (72.996)
Epoch: [30][11810/14090]	Time 0.753 (0.749)	Data 0.001 (0.001)	Loss 1.9846 (2.3193)	Prec@1 48.438 (42.487)	Prec@5 76.562 (72.997)
Epoch: [30][11820/14090]	Time 0.756 (0.749)	Data 0.001 (0.001)	Loss 2.1904 (2.3192)	Prec@1 49.219 (42.491)	Prec@5 75.781 (72.999)
Epoch: [30][11830/14090]	Time 0.728 (0.749)	Data 0.001 (0.001)	Loss 2.7077 (2.3191)	Prec@1 32.812 (42.491)	Prec@5 67.188 (73.001)
Epoch: [30][11840/14090]	Time 0.755 (0.749)	Data 0.001 (0.001)	Loss 1.9151 (2.3191)	Prec@1 55.469 (42.492)	Prec@5 82.031 (73.001)
Epoch: [30][11850/14090]	Time 0.728 (0.749)	Data 0.001 (0.001)	Loss 2.1750 (2.3191)	Prec@1 42.969 (42.491)	Prec@5 72.656 (73.002)
Epoch: [30][11860/14090]	Time 0.731 (0.749)	Data 0.001 (0.001)	Loss 1.9774 (2.3191)	Prec@1 47.656 (42.490)	Prec@5 78.125 (73.003)
Epoch: [30][11870/14090]	Time 0.737 (0.749)	Data 0.002 (0.001)	Loss 2.3350 (2.3190)	Prec@1 34.375 (42.492)	Prec@5 75.000 (73.006)
Epoch: [30][11880/14090]	Time 0.725 (0.749)	Data 0.001 (0.001)	Loss 2.2896 (2.3190)	Prec@1 40.625 (42.491)	Prec@5 75.781 (73.007)
Epoch: [30][11890/14090]	Time 0.730 (0.749)	Data 0.001 (0.001)	Loss 2.0959 (2.3188)	Prec@1 49.219 (42.494)	Prec@5 78.125 (73.010)
Epoch: [30][11900/14090]	Time 0.755 (0.749)	Data 0.001 (0.001)	Loss 2.5557 (2.3188)	Prec@1 37.500 (42.493)	Prec@5 68.750 (73.009)
Epoch: [30][11910/14090]	Time 0.758 (0.749)	Data 0.001 (0.001)	Loss 2.3401 (2.3188)	Prec@1 36.719 (42.494)	Prec@5 73.438 (73.009)
Epoch: [30][11920/14090]	Time 0.745 (0.749)	Data 0.001 (0.001)	Loss 2.4578 (2.3187)	Prec@1 37.500 (42.496)	Prec@5 65.625 (73.010)
Epoch: [30][11930/14090]	Time 0.743 (0.749)	Data 0.001 (0.001)	Loss 2.2724 (2.3187)	Prec@1 40.625 (42.496)	Prec@5 75.000 (73.010)
Epoch: [30][11940/14090]	Time 0.756 (0.749)	Data 0.002 (0.001)	Loss 1.9172 (2.3186)	Prec@1 50.781 (42.497)	Prec@5 79.688 (73.012)
Epoch: [30][11950/14090]	Time 0.750 (0.749)	Data 0.001 (0.001)	Loss 2.4817 (2.3185)	Prec@1 35.938 (42.498)	Prec@5 72.656 (73.014)
Epoch: [30][11960/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 2.3185 (2.3184)	Prec@1 42.969 (42.500)	Prec@5 74.219 (73.017)
Epoch: [30][11970/14090]	Time 0.735 (0.749)	Data 0.001 (0.001)	Loss 2.3532 (2.3184)	Prec@1 39.844 (42.500)	Prec@5 73.438 (73.018)
Epoch: [30][11980/14090]	Time 0.759 (0.749)	Data 0.001 (0.001)	Loss 1.9608 (2.3183)	Prec@1 50.000 (42.503)	Prec@5 78.906 (73.019)
Epoch: [30][11990/14090]	Time 0.779 (0.749)	Data 0.001 (0.001)	Loss 2.3732 (2.3182)	Prec@1 44.531 (42.504)	Prec@5 70.312 (73.020)
Epoch: [30][12000/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 2.2403 (2.3182)	Prec@1 43.750 (42.504)	Prec@5 67.969 (73.020)
Epoch: [30][12010/14090]	Time 0.742 (0.749)	Data 0.002 (0.001)	Loss 1.9944 (2.3181)	Prec@1 50.000 (42.505)	Prec@5 78.125 (73.021)
Epoch: [30][12020/14090]	Time 0.781 (0.749)	Data 0.001 (0.001)	Loss 2.1652 (2.3181)	Prec@1 43.750 (42.504)	Prec@5 79.688 (73.021)
Epoch: [30][12030/14090]	Time 0.746 (0.749)	Data 0.001 (0.001)	Loss 2.1643 (2.3181)	Prec@1 52.344 (42.507)	Prec@5 75.781 (73.022)
Epoch: [30][12040/14090]	Time 0.735 (0.749)	Data 0.001 (0.001)	Loss 2.0407 (2.3181)	Prec@1 50.781 (42.507)	Prec@5 75.781 (73.022)
Epoch: [30][12050/14090]	Time 0.764 (0.749)	Data 0.001 (0.001)	Loss 1.9873 (2.3180)	Prec@1 51.562 (42.507)	Prec@5 75.781 (73.021)
Epoch: [30][12060/14090]	Time 0.779 (0.749)	Data 0.001 (0.001)	Loss 2.3181 (2.3179)	Prec@1 41.406 (42.510)	Prec@5 70.312 (73.023)
Epoch: [30][12070/14090]	Time 0.748 (0.749)	Data 0.001 (0.001)	Loss 2.3305 (2.3179)	Prec@1 38.281 (42.510)	Prec@5 73.438 (73.024)
Epoch: [30][12080/14090]	Time 0.734 (0.749)	Data 0.003 (0.001)	Loss 2.4213 (2.3179)	Prec@1 41.406 (42.510)	Prec@5 70.312 (73.025)
Epoch: [30][12090/14090]	Time 0.784 (0.749)	Data 0.001 (0.001)	Loss 2.2408 (2.3178)	Prec@1 39.844 (42.512)	Prec@5 75.000 (73.026)
Epoch: [30][12100/14090]	Time 0.756 (0.749)	Data 0.001 (0.001)	Loss 2.3679 (2.3178)	Prec@1 39.062 (42.510)	Prec@5 71.094 (73.026)
Epoch: [30][12110/14090]	Time 0.730 (0.749)	Data 0.001 (0.001)	Loss 2.2557 (2.3177)	Prec@1 36.719 (42.511)	Prec@5 78.906 (73.027)
Epoch: [30][12120/14090]	Time 0.759 (0.749)	Data 0.001 (0.001)	Loss 2.1379 (2.3177)	Prec@1 46.094 (42.511)	Prec@5 74.219 (73.028)
Epoch: [30][12130/14090]	Time 0.753 (0.749)	Data 0.001 (0.001)	Loss 2.2471 (2.3177)	Prec@1 50.000 (42.511)	Prec@5 77.344 (73.029)
Epoch: [30][12140/14090]	Time 0.728 (0.749)	Data 0.001 (0.001)	Loss 1.9620 (2.3176)	Prec@1 50.000 (42.511)	Prec@5 80.469 (73.031)
Epoch: [30][12150/14090]	Time 0.729 (0.749)	Data 0.002 (0.001)	Loss 2.3275 (2.3175)	Prec@1 46.094 (42.512)	Prec@5 70.312 (73.031)
Epoch: [30][12160/14090]	Time 0.748 (0.749)	Data 0.001 (0.001)	Loss 2.2215 (2.3175)	Prec@1 47.656 (42.512)	Prec@5 72.656 (73.031)
Epoch: [30][12170/14090]	Time 0.745 (0.749)	Data 0.001 (0.001)	Loss 2.4055 (2.3174)	Prec@1 40.625 (42.512)	Prec@5 71.094 (73.033)
Epoch: [30][12180/14090]	Time 0.737 (0.749)	Data 0.001 (0.001)	Loss 2.1418 (2.3174)	Prec@1 45.312 (42.514)	Prec@5 78.906 (73.035)
Epoch: [30][12190/14090]	Time 0.784 (0.749)	Data 0.001 (0.001)	Loss 2.3300 (2.3173)	Prec@1 40.625 (42.514)	Prec@5 72.656 (73.036)
Epoch: [30][12200/14090]	Time 0.745 (0.749)	Data 0.001 (0.001)	Loss 2.1586 (2.3173)	Prec@1 46.094 (42.516)	Prec@5 76.562 (73.036)
Epoch: [30][12210/14090]	Time 0.757 (0.749)	Data 0.001 (0.001)	Loss 2.1425 (2.3172)	Prec@1 46.094 (42.518)	Prec@5 76.562 (73.036)
Epoch: [30][12220/14090]	Time 0.762 (0.749)	Data 0.002 (0.001)	Loss 2.1404 (2.3171)	Prec@1 50.000 (42.520)	Prec@5 74.219 (73.037)
Epoch: [30][12230/14090]	Time 0.740 (0.749)	Data 0.002 (0.001)	Loss 2.1754 (2.3170)	Prec@1 41.406 (42.521)	Prec@5 75.000 (73.038)
Epoch: [30][12240/14090]	Time 0.792 (0.749)	Data 0.001 (0.001)	Loss 2.0766 (2.3169)	Prec@1 42.188 (42.521)	Prec@5 73.438 (73.040)
Epoch: [30][12250/14090]	Time 0.782 (0.749)	Data 0.001 (0.001)	Loss 2.4610 (2.3168)	Prec@1 42.188 (42.522)	Prec@5 71.094 (73.041)
Epoch: [30][12260/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 1.8903 (2.3168)	Prec@1 46.875 (42.520)	Prec@5 85.156 (73.042)
Epoch: [30][12270/14090]	Time 0.751 (0.749)	Data 0.002 (0.001)	Loss 2.0753 (2.3167)	Prec@1 47.656 (42.522)	Prec@5 78.906 (73.044)
Epoch: [30][12280/14090]	Time 0.744 (0.749)	Data 0.001 (0.001)	Loss 2.1277 (2.3166)	Prec@1 45.312 (42.524)	Prec@5 78.906 (73.047)
Epoch: [30][12290/14090]	Time 0.780 (0.749)	Data 0.002 (0.001)	Loss 2.1378 (2.3165)	Prec@1 50.000 (42.526)	Prec@5 78.125 (73.049)
Epoch: [30][12300/14090]	Time 0.772 (0.749)	Data 0.001 (0.001)	Loss 2.1762 (2.3165)	Prec@1 43.750 (42.526)	Prec@5 77.344 (73.049)
Epoch: [30][12310/14090]	Time 0.726 (0.749)	Data 0.001 (0.001)	Loss 2.1899 (2.3164)	Prec@1 39.062 (42.528)	Prec@5 80.469 (73.050)
Epoch: [30][12320/14090]	Time 0.736 (0.749)	Data 0.001 (0.001)	Loss 2.1923 (2.3164)	Prec@1 45.312 (42.530)	Prec@5 75.000 (73.052)
Epoch: [30][12330/14090]	Time 0.732 (0.749)	Data 0.001 (0.001)	Loss 2.2726 (2.3164)	Prec@1 45.312 (42.528)	Prec@5 74.219 (73.051)
Epoch: [30][12340/14090]	Time 0.739 (0.749)	Data 0.001 (0.001)	Loss 2.6310 (2.3164)	Prec@1 39.844 (42.529)	Prec@5 71.875 (73.049)
Epoch: [30][12350/14090]	Time 0.723 (0.749)	Data 0.001 (0.001)	Loss 2.4160 (2.3164)	Prec@1 39.844 (42.529)	Prec@5 73.438 (73.049)
Epoch: [30][12360/14090]	Time 0.739 (0.749)	Data 0.003 (0.001)	Loss 2.1181 (2.3164)	Prec@1 46.875 (42.531)	Prec@5 78.125 (73.049)
Epoch: [30][12370/14090]	Time 0.782 (0.749)	Data 0.001 (0.001)	Loss 2.4130 (2.3164)	Prec@1 37.500 (42.531)	Prec@5 69.531 (73.049)
Epoch: [30][12380/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 2.2232 (2.3164)	Prec@1 49.219 (42.530)	Prec@5 78.906 (73.049)
Epoch: [30][12390/14090]	Time 0.737 (0.749)	Data 0.001 (0.001)	Loss 2.2578 (2.3163)	Prec@1 44.531 (42.533)	Prec@5 75.000 (73.051)
Epoch: [30][12400/14090]	Time 0.729 (0.749)	Data 0.001 (0.001)	Loss 2.2839 (2.3162)	Prec@1 46.094 (42.534)	Prec@5 75.781 (73.053)
Epoch: [30][12410/14090]	Time 0.742 (0.749)	Data 0.001 (0.001)	Loss 2.3455 (2.3162)	Prec@1 45.312 (42.535)	Prec@5 75.781 (73.054)
Epoch: [30][12420/14090]	Time 0.748 (0.749)	Data 0.001 (0.001)	Loss 1.8640 (2.3162)	Prec@1 53.906 (42.537)	Prec@5 84.375 (73.055)
Epoch: [30][12430/14090]	Time 0.764 (0.749)	Data 0.002 (0.001)	Loss 2.1338 (2.3161)	Prec@1 46.094 (42.539)	Prec@5 78.125 (73.057)
Epoch: [30][12440/14090]	Time 0.780 (0.749)	Data 0.001 (0.001)	Loss 2.2882 (2.3161)	Prec@1 44.531 (42.538)	Prec@5 75.781 (73.058)
Epoch: [30][12450/14090]	Time 0.759 (0.749)	Data 0.001 (0.001)	Loss 2.0492 (2.3161)	Prec@1 46.094 (42.539)	Prec@5 76.562 (73.058)
Epoch: [30][12460/14090]	Time 0.724 (0.749)	Data 0.001 (0.001)	Loss 2.4684 (2.3161)	Prec@1 39.844 (42.538)	Prec@5 71.875 (73.058)
Epoch: [30][12470/14090]	Time 0.730 (0.749)	Data 0.001 (0.001)	Loss 2.4947 (2.3161)	Prec@1 44.531 (42.540)	Prec@5 68.750 (73.057)
Epoch: [30][12480/14090]	Time 0.750 (0.749)	Data 0.001 (0.001)	Loss 2.2420 (2.3160)	Prec@1 39.844 (42.540)	Prec@5 79.688 (73.059)
Epoch: [30][12490/14090]	Time 0.760 (0.749)	Data 0.001 (0.001)	Loss 2.6100 (2.3161)	Prec@1 35.938 (42.540)	Prec@5 69.531 (73.059)
Epoch: [30][12500/14090]	Time 0.754 (0.749)	Data 0.002 (0.001)	Loss 2.0612 (2.3160)	Prec@1 45.312 (42.540)	Prec@5 78.125 (73.060)
Epoch: [30][12510/14090]	Time 0.737 (0.749)	Data 0.001 (0.001)	Loss 2.3054 (2.3160)	Prec@1 42.188 (42.540)	Prec@5 68.750 (73.059)
Epoch: [30][12520/14090]	Time 0.762 (0.749)	Data 0.001 (0.001)	Loss 2.1605 (2.3160)	Prec@1 48.438 (42.540)	Prec@5 71.875 (73.059)
Epoch: [30][12530/14090]	Time 0.762 (0.749)	Data 0.001 (0.001)	Loss 2.2075 (2.3160)	Prec@1 46.875 (42.540)	Prec@5 75.781 (73.059)
Epoch: [30][12540/14090]	Time 0.769 (0.749)	Data 0.001 (0.001)	Loss 2.2186 (2.3159)	Prec@1 43.750 (42.540)	Prec@5 75.000 (73.060)
Epoch: [30][12550/14090]	Time 0.734 (0.749)	Data 0.001 (0.001)	Loss 2.2061 (2.3158)	Prec@1 43.750 (42.542)	Prec@5 74.219 (73.062)
Epoch: [30][12560/14090]	Time 0.752 (0.749)	Data 0.001 (0.001)	Loss 2.2307 (2.3158)	Prec@1 48.438 (42.542)	Prec@5 74.219 (73.061)
Epoch: [30][12570/14090]	Time 0.744 (0.749)	Data 0.002 (0.001)	Loss 2.3644 (2.3158)	Prec@1 43.750 (42.544)	Prec@5 69.531 (73.061)
Epoch: [30][12580/14090]	Time 0.754 (0.749)	Data 0.001 (0.001)	Loss 2.3099 (2.3158)	Prec@1 46.094 (42.544)	Prec@5 67.969 (73.059)
Epoch: [30][12590/14090]	Time 0.732 (0.749)	Data 0.001 (0.001)	Loss 2.3241 (2.3158)	Prec@1 41.406 (42.544)	Prec@5 72.656 (73.060)
Epoch: [30][12600/14090]	Time 0.753 (0.749)	Data 0.001 (0.001)	Loss 2.0092 (2.3157)	Prec@1 44.531 (42.545)	Prec@5 77.344 (73.062)
Epoch: [30][12610/14090]	Time 0.736 (0.749)	Data 0.001 (0.001)	Loss 2.4071 (2.3156)	Prec@1 35.938 (42.547)	Prec@5 71.094 (73.063)
Epoch: [30][12620/14090]	Time 0.735 (0.749)	Data 0.001 (0.001)	Loss 2.4715 (2.3156)	Prec@1 34.375 (42.547)	Prec@5 74.219 (73.064)
Epoch: [30][12630/14090]	Time 0.754 (0.749)	Data 0.001 (0.001)	Loss 2.2238 (2.3157)	Prec@1 42.188 (42.547)	Prec@5 75.781 (73.063)
Epoch: [30][12640/14090]	Time 0.745 (0.749)	Data 0.002 (0.001)	Loss 2.1273 (2.3156)	Prec@1 51.562 (42.549)	Prec@5 76.562 (73.065)
Epoch: [30][12650/14090]	Time 0.754 (0.749)	Data 0.001 (0.001)	Loss 2.0791 (2.3156)	Prec@1 44.531 (42.549)	Prec@5 79.688 (73.065)
Epoch: [30][12660/14090]	Time 0.757 (0.749)	Data 0.001 (0.001)	Loss 2.3409 (2.3156)	Prec@1 39.844 (42.548)	Prec@5 70.312 (73.064)
Epoch: [30][12670/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 2.2741 (2.3155)	Prec@1 36.719 (42.548)	Prec@5 77.344 (73.067)
Epoch: [30][12680/14090]	Time 0.762 (0.749)	Data 0.001 (0.001)	Loss 2.2066 (2.3155)	Prec@1 43.750 (42.549)	Prec@5 76.562 (73.070)
Epoch: [30][12690/14090]	Time 0.740 (0.749)	Data 0.001 (0.001)	Loss 2.4460 (2.3155)	Prec@1 39.844 (42.550)	Prec@5 68.750 (73.069)
Epoch: [30][12700/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 2.2741 (2.3155)	Prec@1 46.875 (42.550)	Prec@5 75.781 (73.069)
Epoch: [30][12710/14090]	Time 0.739 (0.749)	Data 0.002 (0.001)	Loss 2.3773 (2.3154)	Prec@1 41.406 (42.551)	Prec@5 74.219 (73.069)
Epoch: [30][12720/14090]	Time 0.733 (0.749)	Data 0.001 (0.001)	Loss 2.4679 (2.3154)	Prec@1 38.281 (42.552)	Prec@5 72.656 (73.069)
Epoch: [30][12730/14090]	Time 0.750 (0.749)	Data 0.001 (0.001)	Loss 2.4115 (2.3155)	Prec@1 41.406 (42.551)	Prec@5 70.312 (73.069)
Epoch: [30][12740/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 2.3700 (2.3155)	Prec@1 42.188 (42.550)	Prec@5 73.438 (73.069)
Epoch: [30][12750/14090]	Time 0.729 (0.749)	Data 0.001 (0.001)	Loss 2.2143 (2.3155)	Prec@1 45.312 (42.550)	Prec@5 80.469 (73.069)
Epoch: [30][12760/14090]	Time 0.741 (0.749)	Data 0.001 (0.001)	Loss 2.5000 (2.3154)	Prec@1 40.625 (42.552)	Prec@5 67.969 (73.070)
Epoch: [30][12770/14090]	Time 0.761 (0.749)	Data 0.002 (0.001)	Loss 2.2689 (2.3154)	Prec@1 37.500 (42.552)	Prec@5 75.000 (73.071)
Epoch: [30][12780/14090]	Time 0.775 (0.749)	Data 0.002 (0.001)	Loss 2.2046 (2.3153)	Prec@1 43.750 (42.554)	Prec@5 74.219 (73.072)
Epoch: [30][12790/14090]	Time 0.756 (0.749)	Data 0.002 (0.001)	Loss 1.7835 (2.3152)	Prec@1 48.438 (42.555)	Prec@5 83.594 (73.073)
Epoch: [30][12800/14090]	Time 0.773 (0.749)	Data 0.001 (0.001)	Loss 2.3334 (2.3152)	Prec@1 42.188 (42.555)	Prec@5 76.562 (73.073)
Epoch: [30][12810/14090]	Time 0.736 (0.749)	Data 0.001 (0.001)	Loss 2.3485 (2.3152)	Prec@1 44.531 (42.556)	Prec@5 76.562 (73.072)
Epoch: [30][12820/14090]	Time 0.742 (0.749)	Data 0.001 (0.001)	Loss 2.3680 (2.3152)	Prec@1 42.969 (42.557)	Prec@5 73.438 (73.073)
Epoch: [30][12830/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 2.4746 (2.3151)	Prec@1 41.406 (42.558)	Prec@5 70.312 (73.074)
Epoch: [30][12840/14090]	Time 0.742 (0.749)	Data 0.001 (0.001)	Loss 2.1976 (2.3151)	Prec@1 40.625 (42.558)	Prec@5 76.562 (73.073)
Epoch: [30][12850/14090]	Time 0.736 (0.749)	Data 0.002 (0.001)	Loss 2.4656 (2.3151)	Prec@1 42.969 (42.559)	Prec@5 69.531 (73.075)
Epoch: [30][12860/14090]	Time 0.744 (0.749)	Data 0.001 (0.001)	Loss 2.1002 (2.3150)	Prec@1 47.656 (42.561)	Prec@5 78.906 (73.076)
Epoch: [30][12870/14090]	Time 0.730 (0.749)	Data 0.001 (0.001)	Loss 2.1167 (2.3150)	Prec@1 43.750 (42.562)	Prec@5 78.906 (73.077)
Epoch: [30][12880/14090]	Time 0.786 (0.749)	Data 0.001 (0.001)	Loss 2.0653 (2.3149)	Prec@1 47.656 (42.563)	Prec@5 73.438 (73.078)
Epoch: [30][12890/14090]	Time 0.781 (0.749)	Data 0.001 (0.001)	Loss 2.5276 (2.3149)	Prec@1 42.188 (42.563)	Prec@5 67.969 (73.078)
Epoch: [30][12900/14090]	Time 0.737 (0.749)	Data 0.001 (0.001)	Loss 2.2360 (2.3148)	Prec@1 41.406 (42.565)	Prec@5 74.219 (73.079)
Epoch: [30][12910/14090]	Time 0.747 (0.749)	Data 0.001 (0.001)	Loss 2.3264 (2.3149)	Prec@1 42.969 (42.565)	Prec@5 71.094 (73.078)
Epoch: [30][12920/14090]	Time 0.756 (0.749)	Data 0.002 (0.001)	Loss 2.2962 (2.3149)	Prec@1 39.844 (42.565)	Prec@5 76.562 (73.079)
Epoch: [30][12930/14090]	Time 0.741 (0.749)	Data 0.001 (0.001)	Loss 2.2573 (2.3148)	Prec@1 46.094 (42.567)	Prec@5 75.781 (73.081)
Epoch: [30][12940/14090]	Time 0.737 (0.749)	Data 0.001 (0.001)	Loss 2.3499 (2.3148)	Prec@1 45.312 (42.568)	Prec@5 75.000 (73.082)
Epoch: [30][12950/14090]	Time 0.727 (0.749)	Data 0.001 (0.001)	Loss 2.1177 (2.3147)	Prec@1 47.656 (42.570)	Prec@5 75.781 (73.083)
Epoch: [30][12960/14090]	Time 0.737 (0.749)	Data 0.001 (0.001)	Loss 2.5130 (2.3146)	Prec@1 36.719 (42.570)	Prec@5 67.969 (73.083)
Epoch: [30][12970/14090]	Time 0.744 (0.749)	Data 0.001 (0.001)	Loss 2.1566 (2.3145)	Prec@1 46.094 (42.572)	Prec@5 76.562 (73.085)
Epoch: [30][12980/14090]	Time 0.733 (0.749)	Data 0.001 (0.001)	Loss 2.3888 (2.3145)	Prec@1 42.969 (42.572)	Prec@5 68.750 (73.086)
Epoch: [30][12990/14090]	Time 0.778 (0.749)	Data 0.002 (0.001)	Loss 2.1760 (2.3145)	Prec@1 42.969 (42.572)	Prec@5 75.000 (73.086)
Epoch: [30][13000/14090]	Time 0.733 (0.749)	Data 0.001 (0.001)	Loss 2.1989 (2.3144)	Prec@1 47.656 (42.573)	Prec@5 77.344 (73.088)
Epoch: [30][13010/14090]	Time 0.748 (0.749)	Data 0.001 (0.001)	Loss 2.2938 (2.3144)	Prec@1 36.719 (42.573)	Prec@5 74.219 (73.088)
Epoch: [30][13020/14090]	Time 0.723 (0.749)	Data 0.001 (0.001)	Loss 2.1821 (2.3144)	Prec@1 39.062 (42.574)	Prec@5 72.656 (73.088)
Epoch: [30][13030/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 2.0898 (2.3143)	Prec@1 46.875 (42.575)	Prec@5 81.250 (73.088)
Epoch: [30][13040/14090]	Time 0.756 (0.749)	Data 0.001 (0.001)	Loss 2.3051 (2.3143)	Prec@1 41.406 (42.575)	Prec@5 77.344 (73.090)
Epoch: [30][13050/14090]	Time 0.740 (0.749)	Data 0.001 (0.001)	Loss 2.3741 (2.3143)	Prec@1 36.719 (42.575)	Prec@5 72.656 (73.091)
Epoch: [30][13060/14090]	Time 0.746 (0.749)	Data 0.002 (0.001)	Loss 2.4612 (2.3142)	Prec@1 42.188 (42.578)	Prec@5 73.438 (73.092)
Epoch: [30][13070/14090]	Time 0.747 (0.749)	Data 0.001 (0.001)	Loss 1.9753 (2.3142)	Prec@1 50.781 (42.579)	Prec@5 76.562 (73.092)
Epoch: [30][13080/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 2.3608 (2.3142)	Prec@1 35.938 (42.579)	Prec@5 74.219 (73.092)
Epoch: [30][13090/14090]	Time 0.794 (0.749)	Data 0.001 (0.001)	Loss 2.3639 (2.3142)	Prec@1 39.844 (42.578)	Prec@5 73.438 (73.094)
Epoch: [30][13100/14090]	Time 0.732 (0.749)	Data 0.001 (0.001)	Loss 2.4321 (2.3141)	Prec@1 39.844 (42.579)	Prec@5 68.750 (73.094)
Epoch: [30][13110/14090]	Time 0.749 (0.749)	Data 0.001 (0.001)	Loss 2.4592 (2.3142)	Prec@1 39.062 (42.579)	Prec@5 72.656 (73.094)
Epoch: [30][13120/14090]	Time 0.756 (0.749)	Data 0.001 (0.001)	Loss 2.2118 (2.3141)	Prec@1 45.312 (42.580)	Prec@5 72.656 (73.094)
Epoch: [30][13130/14090]	Time 0.735 (0.749)	Data 0.002 (0.001)	Loss 2.2758 (2.3141)	Prec@1 39.844 (42.581)	Prec@5 72.656 (73.094)
Epoch: [30][13140/14090]	Time 0.740 (0.749)	Data 0.001 (0.001)	Loss 2.3788 (2.3141)	Prec@1 42.188 (42.582)	Prec@5 72.656 (73.094)
Epoch: [30][13150/14090]	Time 0.756 (0.749)	Data 0.001 (0.001)	Loss 1.9580 (2.3140)	Prec@1 50.000 (42.584)	Prec@5 78.906 (73.096)
Epoch: [30][13160/14090]	Time 0.764 (0.749)	Data 0.001 (0.001)	Loss 2.2842 (2.3139)	Prec@1 48.438 (42.586)	Prec@5 68.750 (73.096)
Epoch: [30][13170/14090]	Time 0.772 (0.749)	Data 0.001 (0.001)	Loss 2.3449 (2.3139)	Prec@1 40.625 (42.587)	Prec@5 77.344 (73.096)
Epoch: [30][13180/14090]	Time 0.737 (0.749)	Data 0.001 (0.001)	Loss 2.1387 (2.3138)	Prec@1 44.531 (42.588)	Prec@5 80.469 (73.100)
Epoch: [30][13190/14090]	Time 0.783 (0.749)	Data 0.001 (0.001)	Loss 2.4291 (2.3138)	Prec@1 41.406 (42.589)	Prec@5 68.750 (73.099)
Epoch: [30][13200/14090]	Time 0.754 (0.749)	Data 0.003 (0.001)	Loss 2.4635 (2.3137)	Prec@1 40.625 (42.591)	Prec@5 69.531 (73.100)
Epoch: [30][13210/14090]	Time 0.765 (0.749)	Data 0.001 (0.001)	Loss 2.5220 (2.3137)	Prec@1 39.062 (42.590)	Prec@5 65.625 (73.100)
Epoch: [30][13220/14090]	Time 0.741 (0.749)	Data 0.001 (0.001)	Loss 2.0883 (2.3136)	Prec@1 42.188 (42.590)	Prec@5 76.562 (73.100)
Epoch: [30][13230/14090]	Time 0.752 (0.749)	Data 0.002 (0.001)	Loss 2.2067 (2.3136)	Prec@1 43.750 (42.589)	Prec@5 75.000 (73.100)
Epoch: [30][13240/14090]	Time 0.787 (0.749)	Data 0.001 (0.001)	Loss 1.8976 (2.3136)	Prec@1 55.469 (42.591)	Prec@5 80.469 (73.101)
Epoch: [30][13250/14090]	Time 0.739 (0.749)	Data 0.001 (0.001)	Loss 2.2918 (2.3135)	Prec@1 42.969 (42.592)	Prec@5 72.656 (73.103)
Epoch: [30][13260/14090]	Time 0.725 (0.749)	Data 0.001 (0.001)	Loss 2.0018 (2.3135)	Prec@1 47.656 (42.592)	Prec@5 77.344 (73.104)
Epoch: [30][13270/14090]	Time 0.729 (0.749)	Data 0.002 (0.001)	Loss 2.3905 (2.3134)	Prec@1 35.156 (42.593)	Prec@5 68.750 (73.105)
Epoch: [30][13280/14090]	Time 0.742 (0.749)	Data 0.001 (0.001)	Loss 2.3401 (2.3134)	Prec@1 42.969 (42.593)	Prec@5 75.781 (73.105)
Epoch: [30][13290/14090]	Time 0.732 (0.749)	Data 0.001 (0.001)	Loss 2.5640 (2.3134)	Prec@1 40.625 (42.593)	Prec@5 71.094 (73.108)
Epoch: [30][13300/14090]	Time 0.732 (0.749)	Data 0.001 (0.001)	Loss 2.4154 (2.3133)	Prec@1 42.188 (42.595)	Prec@5 75.781 (73.110)
Epoch: [30][13310/14090]	Time 0.783 (0.749)	Data 0.001 (0.001)	Loss 2.4252 (2.3132)	Prec@1 39.062 (42.598)	Prec@5 71.094 (73.112)
Epoch: [30][13320/14090]	Time 0.759 (0.749)	Data 0.001 (0.001)	Loss 2.2208 (2.3131)	Prec@1 48.438 (42.599)	Prec@5 71.875 (73.113)
Epoch: [30][13330/14090]	Time 0.753 (0.749)	Data 0.001 (0.001)	Loss 2.3285 (2.3131)	Prec@1 41.406 (42.600)	Prec@5 73.438 (73.112)
Epoch: [30][13340/14090]	Time 0.777 (0.749)	Data 0.002 (0.001)	Loss 2.0772 (2.3131)	Prec@1 46.094 (42.600)	Prec@5 75.000 (73.114)
Epoch: [30][13350/14090]	Time 0.736 (0.749)	Data 0.001 (0.001)	Loss 2.5681 (2.3130)	Prec@1 39.844 (42.601)	Prec@5 67.188 (73.114)
Epoch: [30][13360/14090]	Time 0.755 (0.749)	Data 0.001 (0.001)	Loss 2.5766 (2.3130)	Prec@1 39.844 (42.602)	Prec@5 67.188 (73.114)
Epoch: [30][13370/14090]	Time 0.763 (0.749)	Data 0.001 (0.001)	Loss 2.0039 (2.3131)	Prec@1 46.094 (42.600)	Prec@5 80.469 (73.114)
Epoch: [30][13380/14090]	Time 0.740 (0.749)	Data 0.001 (0.001)	Loss 2.4645 (2.3129)	Prec@1 42.969 (42.603)	Prec@5 67.969 (73.116)
Epoch: [30][13390/14090]	Time 0.746 (0.749)	Data 0.001 (0.001)	Loss 2.0676 (2.3129)	Prec@1 39.844 (42.604)	Prec@5 80.469 (73.119)
Epoch: [30][13400/14090]	Time 0.726 (0.749)	Data 0.001 (0.001)	Loss 2.1967 (2.3129)	Prec@1 34.375 (42.603)	Prec@5 76.562 (73.119)
Epoch: [30][13410/14090]	Time 0.728 (0.749)	Data 0.002 (0.001)	Loss 2.4787 (2.3128)	Prec@1 38.281 (42.606)	Prec@5 70.312 (73.121)
Epoch: [30][13420/14090]	Time 0.736 (0.749)	Data 0.001 (0.001)	Loss 2.4811 (2.3127)	Prec@1 42.188 (42.607)	Prec@5 75.000 (73.122)
Epoch: [30][13430/14090]	Time 0.737 (0.749)	Data 0.001 (0.001)	Loss 2.2305 (2.3127)	Prec@1 46.094 (42.608)	Prec@5 75.000 (73.122)
Epoch: [30][13440/14090]	Time 0.750 (0.749)	Data 0.001 (0.001)	Loss 2.3015 (2.3127)	Prec@1 43.750 (42.608)	Prec@5 71.875 (73.122)
Epoch: [30][13450/14090]	Time 0.752 (0.749)	Data 0.001 (0.001)	Loss 2.1030 (2.3127)	Prec@1 43.750 (42.608)	Prec@5 80.469 (73.123)
Epoch: [30][13460/14090]	Time 0.737 (0.749)	Data 0.001 (0.001)	Loss 2.2975 (2.3126)	Prec@1 45.312 (42.610)	Prec@5 73.438 (73.124)
Epoch: [30][13470/14090]	Time 0.753 (0.749)	Data 0.001 (0.001)	Loss 2.1776 (2.3126)	Prec@1 40.625 (42.609)	Prec@5 78.906 (73.125)
Epoch: [30][13480/14090]	Time 0.744 (0.749)	Data 0.003 (0.001)	Loss 2.1818 (2.3125)	Prec@1 46.094 (42.611)	Prec@5 74.219 (73.128)
Epoch: [30][13490/14090]	Time 0.765 (0.749)	Data 0.001 (0.001)	Loss 2.3107 (2.3124)	Prec@1 46.094 (42.613)	Prec@5 71.875 (73.129)
Epoch: [30][13500/14090]	Time 0.752 (0.749)	Data 0.001 (0.001)	Loss 2.0856 (2.3124)	Prec@1 42.969 (42.613)	Prec@5 79.688 (73.130)
Epoch: [30][13510/14090]	Time 0.749 (0.749)	Data 0.001 (0.001)	Loss 2.2304 (2.3124)	Prec@1 42.969 (42.614)	Prec@5 71.875 (73.130)
Epoch: [30][13520/14090]	Time 0.768 (0.749)	Data 0.001 (0.001)	Loss 2.2917 (2.3123)	Prec@1 42.969 (42.615)	Prec@5 71.875 (73.133)
Epoch: [30][13530/14090]	Time 0.762 (0.749)	Data 0.001 (0.001)	Loss 2.6564 (2.3123)	Prec@1 32.031 (42.614)	Prec@5 71.875 (73.134)
Epoch: [30][13540/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 2.3398 (2.3122)	Prec@1 43.750 (42.614)	Prec@5 69.531 (73.134)
Epoch: [30][13550/14090]	Time 0.744 (0.749)	Data 0.002 (0.001)	Loss 2.2009 (2.3122)	Prec@1 46.094 (42.616)	Prec@5 78.125 (73.137)
Epoch: [30][13560/14090]	Time 0.736 (0.749)	Data 0.001 (0.001)	Loss 2.3736 (2.3122)	Prec@1 38.281 (42.617)	Prec@5 73.438 (73.136)
Epoch: [30][13570/14090]	Time 0.763 (0.749)	Data 0.001 (0.001)	Loss 2.3126 (2.3121)	Prec@1 43.750 (42.618)	Prec@5 73.438 (73.136)
Epoch: [30][13580/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 2.4167 (2.3121)	Prec@1 45.312 (42.620)	Prec@5 75.781 (73.138)
Epoch: [30][13590/14090]	Time 0.750 (0.749)	Data 0.001 (0.001)	Loss 2.2409 (2.3121)	Prec@1 43.750 (42.622)	Prec@5 75.781 (73.138)
Epoch: [30][13600/14090]	Time 0.762 (0.749)	Data 0.001 (0.001)	Loss 2.3034 (2.3120)	Prec@1 47.656 (42.624)	Prec@5 75.781 (73.140)
Epoch: [30][13610/14090]	Time 0.764 (0.749)	Data 0.001 (0.001)	Loss 2.3240 (2.3119)	Prec@1 35.156 (42.624)	Prec@5 76.562 (73.143)
Epoch: [30][13620/14090]	Time 0.735 (0.749)	Data 0.002 (0.001)	Loss 1.9327 (2.3118)	Prec@1 46.875 (42.624)	Prec@5 85.938 (73.145)
Epoch: [30][13630/14090]	Time 0.757 (0.749)	Data 0.001 (0.001)	Loss 2.5295 (2.3118)	Prec@1 35.938 (42.623)	Prec@5 72.656 (73.146)
Epoch: [30][13640/14090]	Time 0.755 (0.749)	Data 0.001 (0.001)	Loss 2.1053 (2.3118)	Prec@1 47.656 (42.624)	Prec@5 75.000 (73.147)
Epoch: [30][13650/14090]	Time 0.769 (0.749)	Data 0.003 (0.001)	Loss 2.3924 (2.3119)	Prec@1 39.844 (42.622)	Prec@5 71.094 (73.145)
Epoch: [30][13660/14090]	Time 0.724 (0.749)	Data 0.001 (0.001)	Loss 2.2129 (2.3118)	Prec@1 40.625 (42.623)	Prec@5 78.125 (73.146)
Epoch: [30][13670/14090]	Time 0.765 (0.749)	Data 0.001 (0.001)	Loss 2.3265 (2.3118)	Prec@1 49.219 (42.624)	Prec@5 70.312 (73.146)
Epoch: [30][13680/14090]	Time 0.768 (0.749)	Data 0.001 (0.001)	Loss 2.2896 (2.3118)	Prec@1 41.406 (42.624)	Prec@5 75.781 (73.146)
Epoch: [30][13690/14090]	Time 0.774 (0.749)	Data 0.002 (0.001)	Loss 2.1654 (2.3117)	Prec@1 45.312 (42.626)	Prec@5 74.219 (73.148)
Epoch: [30][13700/14090]	Time 0.734 (0.749)	Data 0.001 (0.001)	Loss 2.3901 (2.3117)	Prec@1 37.500 (42.625)	Prec@5 71.875 (73.147)
Epoch: [30][13710/14090]	Time 0.740 (0.749)	Data 0.001 (0.001)	Loss 2.3307 (2.3117)	Prec@1 39.844 (42.625)	Prec@5 70.312 (73.147)
Epoch: [30][13720/14090]	Time 0.741 (0.749)	Data 0.001 (0.001)	Loss 2.1244 (2.3118)	Prec@1 47.656 (42.625)	Prec@5 76.562 (73.145)
Epoch: [30][13730/14090]	Time 0.745 (0.749)	Data 0.001 (0.001)	Loss 2.2401 (2.3118)	Prec@1 39.062 (42.625)	Prec@5 76.562 (73.146)
Epoch: [30][13740/14090]	Time 0.758 (0.749)	Data 0.001 (0.001)	Loss 2.2310 (2.3117)	Prec@1 41.406 (42.626)	Prec@5 72.656 (73.147)
Epoch: [30][13750/14090]	Time 0.740 (0.749)	Data 0.001 (0.001)	Loss 2.1026 (2.3117)	Prec@1 50.000 (42.629)	Prec@5 75.781 (73.148)
Epoch: [30][13760/14090]	Time 0.738 (0.749)	Data 0.002 (0.001)	Loss 2.3182 (2.3116)	Prec@1 42.188 (42.629)	Prec@5 78.125 (73.149)
Epoch: [30][13770/14090]	Time 0.739 (0.749)	Data 0.001 (0.001)	Loss 2.3447 (2.3116)	Prec@1 46.094 (42.631)	Prec@5 73.438 (73.149)
Epoch: [30][13780/14090]	Time 0.760 (0.749)	Data 0.001 (0.001)	Loss 2.2361 (2.3116)	Prec@1 47.656 (42.630)	Prec@5 73.438 (73.150)
Epoch: [30][13790/14090]	Time 0.747 (0.749)	Data 0.001 (0.001)	Loss 2.3651 (2.3116)	Prec@1 36.719 (42.630)	Prec@5 68.750 (73.151)
Epoch: [30][13800/14090]	Time 0.752 (0.749)	Data 0.001 (0.001)	Loss 2.2692 (2.3116)	Prec@1 40.625 (42.628)	Prec@5 75.781 (73.150)
Epoch: [30][13810/14090]	Time 0.772 (0.749)	Data 0.001 (0.001)	Loss 2.3666 (2.3116)	Prec@1 39.844 (42.628)	Prec@5 75.781 (73.150)
Epoch: [30][13820/14090]	Time 0.739 (0.749)	Data 0.001 (0.001)	Loss 2.4328 (2.3116)	Prec@1 42.969 (42.627)	Prec@5 71.875 (73.150)
Epoch: [30][13830/14090]	Time 0.755 (0.749)	Data 0.002 (0.001)	Loss 2.3383 (2.3116)	Prec@1 42.188 (42.627)	Prec@5 70.312 (73.151)
Epoch: [30][13840/14090]	Time 0.723 (0.749)	Data 0.001 (0.001)	Loss 2.1503 (2.3116)	Prec@1 46.875 (42.627)	Prec@5 74.219 (73.152)
Epoch: [30][13850/14090]	Time 0.766 (0.749)	Data 0.001 (0.001)	Loss 2.4420 (2.3115)	Prec@1 37.500 (42.630)	Prec@5 70.312 (73.154)
Epoch: [30][13860/14090]	Time 0.736 (0.749)	Data 0.001 (0.001)	Loss 1.9531 (2.3114)	Prec@1 52.344 (42.632)	Prec@5 80.469 (73.155)
Epoch: [30][13870/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 2.3679 (2.3113)	Prec@1 38.281 (42.633)	Prec@5 73.438 (73.157)
Epoch: [30][13880/14090]	Time 0.763 (0.749)	Data 0.001 (0.001)	Loss 2.4217 (2.3113)	Prec@1 39.844 (42.634)	Prec@5 75.781 (73.157)
Epoch: [30][13890/14090]	Time 0.760 (0.749)	Data 0.001 (0.001)	Loss 2.0239 (2.3113)	Prec@1 52.344 (42.635)	Prec@5 74.219 (73.158)
Epoch: [30][13900/14090]	Time 0.755 (0.749)	Data 0.002 (0.001)	Loss 2.0022 (2.3112)	Prec@1 50.000 (42.637)	Prec@5 83.594 (73.160)
Epoch: [30][13910/14090]	Time 0.753 (0.749)	Data 0.001 (0.001)	Loss 2.2369 (2.3112)	Prec@1 42.969 (42.636)	Prec@5 75.000 (73.160)
Epoch: [30][13920/14090]	Time 0.752 (0.749)	Data 0.001 (0.001)	Loss 2.3486 (2.3111)	Prec@1 48.438 (42.639)	Prec@5 73.438 (73.162)
Epoch: [30][13930/14090]	Time 0.749 (0.749)	Data 0.001 (0.001)	Loss 2.3052 (2.3111)	Prec@1 43.750 (42.639)	Prec@5 71.875 (73.162)
Epoch: [30][13940/14090]	Time 0.732 (0.749)	Data 0.001 (0.001)	Loss 1.9029 (2.3111)	Prec@1 50.781 (42.640)	Prec@5 79.688 (73.163)
Epoch: [30][13950/14090]	Time 0.754 (0.749)	Data 0.001 (0.001)	Loss 2.0877 (2.3111)	Prec@1 42.188 (42.639)	Prec@5 77.344 (73.163)
Epoch: [30][13960/14090]	Time 0.739 (0.749)	Data 0.001 (0.001)	Loss 2.2292 (2.3110)	Prec@1 44.531 (42.641)	Prec@5 75.000 (73.164)
Epoch: [30][13970/14090]	Time 0.774 (0.749)	Data 0.002 (0.001)	Loss 2.2809 (2.3110)	Prec@1 45.312 (42.642)	Prec@5 75.781 (73.166)
Epoch: [30][13980/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 2.4850 (2.3109)	Prec@1 39.844 (42.643)	Prec@5 65.625 (73.167)
Epoch: [30][13990/14090]	Time 0.748 (0.749)	Data 0.001 (0.001)	Loss 2.2292 (2.3109)	Prec@1 46.094 (42.643)	Prec@5 77.344 (73.168)
Epoch: [30][14000/14090]	Time 0.773 (0.749)	Data 0.001 (0.001)	Loss 2.3039 (2.3109)	Prec@1 40.625 (42.642)	Prec@5 77.344 (73.169)
Epoch: [30][14010/14090]	Time 0.744 (0.749)	Data 0.001 (0.001)	Loss 2.4539 (2.3108)	Prec@1 43.750 (42.643)	Prec@5 67.188 (73.169)
Epoch: [30][14020/14090]	Time 0.757 (0.749)	Data 0.001 (0.001)	Loss 2.0723 (2.3108)	Prec@1 50.781 (42.643)	Prec@5 76.562 (73.170)
Epoch: [30][14030/14090]	Time 0.746 (0.749)	Data 0.001 (0.001)	Loss 2.5762 (2.3108)	Prec@1 37.500 (42.643)	Prec@5 69.531 (73.169)
Epoch: [30][14040/14090]	Time 0.734 (0.749)	Data 0.002 (0.001)	Loss 2.2751 (2.3108)	Prec@1 44.531 (42.642)	Prec@5 71.875 (73.169)
Epoch: [30][14050/14090]	Time 0.768 (0.749)	Data 0.001 (0.001)	Loss 2.4222 (2.3107)	Prec@1 42.188 (42.644)	Prec@5 69.531 (73.171)
Epoch: [30][14060/14090]	Time 0.741 (0.749)	Data 0.001 (0.001)	Loss 2.2186 (2.3107)	Prec@1 43.750 (42.644)	Prec@5 71.875 (73.171)
Epoch: [30][14070/14090]	Time 0.765 (0.749)	Data 0.001 (0.001)	Loss 2.0245 (2.3107)	Prec@1 46.094 (42.644)	Prec@5 77.344 (73.173)
Epoch: [30][14080/14090]	Time 0.722 (0.749)	Data 0.000 (0.001)	Loss 2.1017 (2.3106)	Prec@1 49.219 (42.645)	Prec@5 77.344 (73.175)
Test: [0/286]	Time 4.100 (4.100)	Loss 1.3879 (1.3879)	Prec@1 60.938 (60.938)	Prec@5 92.969 (92.969)
Test: [10/286]	Time 0.233 (0.669)	Loss 2.0715 (2.0197)	Prec@1 42.969 (47.159)	Prec@5 84.375 (81.392)
Test: [20/286]	Time 0.235 (0.500)	Loss 1.5589 (1.9174)	Prec@1 64.062 (49.033)	Prec@5 92.188 (82.887)
Test: [30/286]	Time 0.246 (0.447)	Loss 2.0456 (1.8476)	Prec@1 45.312 (51.487)	Prec@5 78.906 (83.090)
Test: [40/286]	Time 1.012 (0.436)	Loss 1.7746 (1.8538)	Prec@1 42.969 (51.258)	Prec@5 87.500 (82.870)
Test: [50/286]	Time 0.239 (0.415)	Loss 0.8508 (1.8548)	Prec@1 85.156 (51.241)	Prec@5 88.281 (82.782)
Test: [60/286]	Time 0.242 (0.400)	Loss 2.8407 (1.8771)	Prec@1 32.031 (50.961)	Prec@5 67.969 (81.890)
Test: [70/286]	Time 0.226 (0.390)	Loss 1.3122 (1.8677)	Prec@1 67.969 (51.023)	Prec@5 88.281 (81.943)
Test: [80/286]	Time 0.856 (0.391)	Loss 2.1928 (1.8990)	Prec@1 39.062 (49.942)	Prec@5 73.438 (81.472)
Test: [90/286]	Time 0.336 (0.386)	Loss 1.8537 (1.9070)	Prec@1 57.031 (49.931)	Prec@5 82.812 (81.276)
Test: [100/286]	Time 0.228 (0.382)	Loss 2.5921 (1.9188)	Prec@1 25.000 (49.528)	Prec@5 70.312 (81.343)
Test: [110/286]	Time 0.245 (0.377)	Loss 2.5376 (1.9296)	Prec@1 35.156 (49.155)	Prec@5 73.438 (81.433)
Test: [120/286]	Time 0.783 (0.377)	Loss 2.0086 (1.9126)	Prec@1 55.469 (49.755)	Prec@5 75.781 (81.624)
Test: [130/286]	Time 0.308 (0.376)	Loss 1.0460 (1.8962)	Prec@1 67.188 (50.245)	Prec@5 93.750 (81.834)
Test: [140/286]	Time 0.235 (0.373)	Loss 2.2896 (1.8882)	Prec@1 49.219 (50.493)	Prec@5 75.781 (81.865)
Test: [150/286]	Time 0.290 (0.370)	Loss 2.6581 (1.9003)	Prec@1 29.688 (50.047)	Prec@5 74.219 (81.804)
Test: [160/286]	Time 0.639 (0.372)	Loss 2.7777 (1.9008)	Prec@1 25.000 (50.058)	Prec@5 64.844 (81.818)
Test: [170/286]	Time 0.227 (0.370)	Loss 1.9592 (1.8933)	Prec@1 47.656 (50.233)	Prec@5 82.812 (81.922)
Test: [180/286]	Time 0.290 (0.368)	Loss 1.9759 (1.9039)	Prec@1 60.156 (50.082)	Prec@5 77.344 (81.777)
Test: [190/286]	Time 0.302 (0.368)	Loss 2.9397 (1.9236)	Prec@1 19.531 (49.628)	Prec@5 70.312 (81.553)
Test: [200/286]	Time 0.231 (0.369)	Loss 1.9568 (1.9168)	Prec@1 53.906 (49.914)	Prec@5 87.500 (81.565)
Test: [210/286]	Time 0.236 (0.367)	Loss 2.2787 (1.9281)	Prec@1 38.281 (49.563)	Prec@5 78.125 (81.420)
Test: [220/286]	Time 0.318 (0.366)	Loss 3.1179 (1.9395)	Prec@1 15.625 (49.325)	Prec@5 57.812 (81.140)
Test: [230/286]	Time 0.750 (0.367)	Loss 1.1759 (1.9396)	Prec@1 70.312 (49.368)	Prec@5 89.062 (81.071)
Test: [240/286]	Time 0.287 (0.367)	Loss 2.1005 (1.9397)	Prec@1 48.438 (49.404)	Prec@5 79.688 (81.065)
Test: [250/286]	Time 0.259 (0.366)	Loss 2.1047 (1.9325)	Prec@1 38.281 (49.440)	Prec@5 78.125 (81.309)
Test: [260/286]	Time 0.227 (0.364)	Loss 1.6789 (1.9220)	Prec@1 62.500 (49.713)	Prec@5 83.594 (81.492)
Test: [270/286]	Time 0.936 (0.366)	Loss 1.2832 (1.9210)	Prec@1 69.531 (49.836)	Prec@5 89.844 (81.524)
Test: [280/286]	Time 0.348 (0.365)	Loss 1.8340 (1.9045)	Prec@1 53.906 (50.317)	Prec@5 85.938 (81.689)
 * Prec@1 50.423 Prec@5 81.685
Epoch: [31][0/14090]	Time 5.323 (5.323)	Data 4.539 (4.539)	Loss 2.0275 (2.0275)	Prec@1 44.531 (44.531)	Prec@5 80.469 (80.469)
Epoch: [31][10/14090]	Time 0.786 (1.155)	Data 0.001 (0.414)	Loss 2.2609 (2.3209)	Prec@1 43.750 (43.679)	Prec@5 73.438 (73.082)
Epoch: [31][20/14090]	Time 0.770 (0.967)	Data 0.001 (0.217)	Loss 2.4715 (2.2927)	Prec@1 39.062 (43.601)	Prec@5 69.531 (73.140)
Epoch: [31][30/14090]	Time 0.730 (0.895)	Data 0.001 (0.147)	Loss 2.3453 (2.2819)	Prec@1 46.875 (43.750)	Prec@5 71.094 (73.488)
Epoch: [31][40/14090]	Time 0.758 (0.856)	Data 0.001 (0.112)	Loss 2.0961 (2.2936)	Prec@1 50.000 (43.598)	Prec@5 75.781 (73.228)
Epoch: [31][50/14090]	Time 0.727 (0.835)	Data 0.001 (0.090)	Loss 2.4021 (2.2781)	Prec@1 42.969 (43.704)	Prec@5 71.875 (73.683)
Epoch: [31][60/14090]	Time 0.743 (0.820)	Data 0.001 (0.075)	Loss 2.0609 (2.2713)	Prec@1 43.750 (43.801)	Prec@5 76.562 (73.899)
Epoch: [31][70/14090]	Time 0.732 (0.810)	Data 0.001 (0.065)	Loss 2.1738 (2.2617)	Prec@1 46.875 (43.992)	Prec@5 75.000 (74.032)
Epoch: [31][80/14090]	Time 0.751 (0.802)	Data 0.002 (0.057)	Loss 2.4001 (2.2513)	Prec@1 39.062 (44.145)	Prec@5 69.531 (74.248)
Epoch: [31][90/14090]	Time 0.739 (0.797)	Data 0.001 (0.051)	Loss 2.2773 (2.2496)	Prec@1 43.750 (44.291)	Prec@5 75.781 (74.176)
Epoch: [31][100/14090]	Time 0.774 (0.792)	Data 0.001 (0.046)	Loss 2.1117 (2.2473)	Prec@1 46.875 (44.144)	Prec@5 75.000 (74.110)
Epoch: [31][110/14090]	Time 0.777 (0.789)	Data 0.001 (0.042)	Loss 2.3206 (2.2406)	Prec@1 41.406 (44.257)	Prec@5 74.219 (74.268)
Epoch: [31][120/14090]	Time 0.729 (0.785)	Data 0.001 (0.038)	Loss 2.4719 (2.2470)	Prec@1 41.406 (44.144)	Prec@5 71.875 (74.180)
Epoch: [31][130/14090]	Time 0.745 (0.783)	Data 0.001 (0.036)	Loss 2.4406 (2.2468)	Prec@1 39.062 (44.054)	Prec@5 69.531 (74.177)
Epoch: [31][140/14090]	Time 0.758 (0.780)	Data 0.001 (0.033)	Loss 2.4058 (2.2431)	Prec@1 45.312 (44.016)	Prec@5 72.656 (74.258)
Epoch: [31][150/14090]	Time 0.749 (0.779)	Data 0.002 (0.031)	Loss 2.3707 (2.2444)	Prec@1 44.531 (44.040)	Prec@5 74.219 (74.276)
Epoch: [31][160/14090]	Time 0.751 (0.777)	Data 0.001 (0.029)	Loss 1.9917 (2.2433)	Prec@1 50.000 (44.012)	Prec@5 77.344 (74.267)
Epoch: [31][170/14090]	Time 0.762 (0.775)	Data 0.001 (0.028)	Loss 2.2539 (2.2412)	Prec@1 43.750 (44.088)	Prec@5 72.656 (74.287)
Epoch: [31][180/14090]	Time 0.747 (0.774)	Data 0.001 (0.026)	Loss 2.2635 (2.2415)	Prec@1 42.188 (44.005)	Prec@5 75.781 (74.245)
Epoch: [31][190/14090]	Time 0.731 (0.773)	Data 0.001 (0.025)	Loss 2.0811 (2.2356)	Prec@1 43.750 (44.081)	Prec@5 76.562 (74.358)
Epoch: [31][200/14090]	Time 0.774 (0.772)	Data 0.001 (0.024)	Loss 2.0969 (2.2350)	Prec@1 46.094 (44.053)	Prec@5 79.688 (74.405)
Epoch: [31][210/14090]	Time 0.752 (0.770)	Data 0.001 (0.023)	Loss 1.9850 (2.2350)	Prec@1 48.438 (43.961)	Prec@5 83.594 (74.467)
Epoch: [31][220/14090]	Time 0.761 (0.770)	Data 0.002 (0.022)	Loss 2.5813 (2.2373)	Prec@1 35.938 (43.955)	Prec@5 66.406 (74.413)
Epoch: [31][230/14090]	Time 0.756 (0.769)	Data 0.001 (0.021)	Loss 2.1315 (2.2428)	Prec@1 41.406 (43.848)	Prec@5 78.125 (74.273)
Epoch: [31][240/14090]	Time 0.736 (0.768)	Data 0.001 (0.020)	Loss 2.1027 (2.2444)	Prec@1 48.438 (43.812)	Prec@5 78.906 (74.284)
Epoch: [31][250/14090]	Time 0.747 (0.767)	Data 0.001 (0.019)	Loss 1.9003 (2.2457)	Prec@1 48.438 (43.741)	Prec@5 80.469 (74.256)
Epoch: [31][260/14090]	Time 0.740 (0.766)	Data 0.001 (0.018)	Loss 2.2614 (2.2437)	Prec@1 40.625 (43.840)	Prec@5 68.750 (74.294)
Epoch: [31][270/14090]	Time 0.766 (0.766)	Data 0.001 (0.018)	Loss 2.1206 (2.2440)	Prec@1 50.000 (43.943)	Prec@5 75.000 (74.288)
Epoch: [31][280/14090]	Time 0.725 (0.765)	Data 0.001 (0.017)	Loss 2.4603 (2.2466)	Prec@1 42.969 (43.872)	Prec@5 71.094 (74.233)
Epoch: [31][290/14090]	Time 0.747 (0.765)	Data 0.002 (0.017)	Loss 2.0988 (2.2460)	Prec@1 47.656 (43.946)	Prec@5 75.781 (74.291)
Epoch: [31][300/14090]	Time 0.765 (0.764)	Data 0.001 (0.016)	Loss 2.1151 (2.2465)	Prec@1 46.094 (43.862)	Prec@5 74.219 (74.289)
Epoch: [31][310/14090]	Time 0.778 (0.764)	Data 0.001 (0.016)	Loss 2.0931 (2.2501)	Prec@1 41.406 (43.780)	Prec@5 78.906 (74.224)
Epoch: [31][320/14090]	Time 0.754 (0.764)	Data 0.001 (0.015)	Loss 2.5306 (2.2517)	Prec@1 39.062 (43.718)	Prec@5 69.531 (74.204)
Epoch: [31][330/14090]	Time 0.749 (0.763)	Data 0.001 (0.015)	Loss 2.5311 (2.2551)	Prec@1 36.719 (43.646)	Prec@5 70.312 (74.122)
Epoch: [31][340/14090]	Time 0.773 (0.763)	Data 0.001 (0.014)	Loss 2.2363 (2.2545)	Prec@1 41.406 (43.635)	Prec@5 78.906 (74.155)
Epoch: [31][350/14090]	Time 0.744 (0.762)	Data 0.001 (0.014)	Loss 2.1369 (2.2541)	Prec@1 42.969 (43.608)	Prec@5 78.906 (74.170)
Epoch: [31][360/14090]	Time 0.763 (0.762)	Data 0.002 (0.014)	Loss 2.6056 (2.2561)	Prec@1 35.156 (43.592)	Prec@5 67.188 (74.117)
Epoch: [31][370/14090]	Time 0.753 (0.762)	Data 0.001 (0.013)	Loss 2.0781 (2.2559)	Prec@1 53.906 (43.582)	Prec@5 75.000 (74.092)
Epoch: [31][380/14090]	Time 0.740 (0.762)	Data 0.001 (0.013)	Loss 2.1187 (2.2557)	Prec@1 49.219 (43.584)	Prec@5 73.438 (74.075)
Epoch: [31][390/14090]	Time 0.756 (0.761)	Data 0.001 (0.013)	Loss 2.2708 (2.2575)	Prec@1 42.969 (43.542)	Prec@5 75.000 (74.047)
Epoch: [31][400/14090]	Time 0.739 (0.761)	Data 0.001 (0.012)	Loss 2.3429 (2.2573)	Prec@1 39.844 (43.588)	Prec@5 73.438 (74.041)
Epoch: [31][410/14090]	Time 0.735 (0.761)	Data 0.001 (0.012)	Loss 2.2397 (2.2604)	Prec@1 46.875 (43.516)	Prec@5 75.781 (74.008)
Epoch: [31][420/14090]	Time 0.766 (0.760)	Data 0.001 (0.012)	Loss 2.1865 (2.2596)	Prec@1 39.062 (43.501)	Prec@5 78.906 (74.005)
Epoch: [31][430/14090]	Time 0.738 (0.760)	Data 0.002 (0.012)	Loss 2.0582 (2.2579)	Prec@1 50.781 (43.543)	Prec@5 75.781 (74.034)
Epoch: [31][440/14090]	Time 0.747 (0.760)	Data 0.001 (0.011)	Loss 1.9830 (2.2603)	Prec@1 47.656 (43.521)	Prec@5 82.812 (73.999)
Epoch: [31][450/14090]	Time 0.758 (0.760)	Data 0.001 (0.011)	Loss 2.0305 (2.2583)	Prec@1 46.875 (43.546)	Prec@5 76.562 (74.033)
Epoch: [31][460/14090]	Time 0.739 (0.759)	Data 0.001 (0.011)	Loss 2.0181 (2.2562)	Prec@1 50.000 (43.603)	Prec@5 78.906 (74.083)
Epoch: [31][470/14090]	Time 0.782 (0.759)	Data 0.001 (0.011)	Loss 2.1817 (2.2595)	Prec@1 44.531 (43.533)	Prec@5 76.562 (74.050)
Epoch: [31][480/14090]	Time 0.746 (0.759)	Data 0.001 (0.010)	Loss 2.3374 (2.2593)	Prec@1 42.969 (43.571)	Prec@5 73.438 (74.047)
Epoch: [31][490/14090]	Time 0.755 (0.759)	Data 0.001 (0.010)	Loss 2.2962 (2.2587)	Prec@1 42.969 (43.575)	Prec@5 67.188 (74.029)
Epoch: [31][500/14090]	Time 0.794 (0.758)	Data 0.002 (0.010)	Loss 2.2329 (2.2580)	Prec@1 43.750 (43.596)	Prec@5 74.219 (74.033)
Epoch: [31][510/14090]	Time 0.742 (0.758)	Data 0.001 (0.010)	Loss 2.3365 (2.2579)	Prec@1 40.625 (43.603)	Prec@5 78.125 (74.051)
Epoch: [31][520/14090]	Time 0.728 (0.758)	Data 0.001 (0.010)	Loss 2.1687 (2.2590)	Prec@1 46.875 (43.596)	Prec@5 76.562 (74.028)
Epoch: [31][530/14090]	Time 0.758 (0.758)	Data 0.001 (0.010)	Loss 2.3509 (2.2586)	Prec@1 42.188 (43.643)	Prec@5 71.875 (74.014)
Epoch: [31][540/14090]	Time 0.727 (0.758)	Data 0.001 (0.009)	Loss 2.6174 (2.2599)	Prec@1 35.938 (43.630)	Prec@5 70.312 (74.008)
Epoch: [31][550/14090]	Time 0.739 (0.758)	Data 0.001 (0.009)	Loss 2.2664 (2.2593)	Prec@1 49.219 (43.634)	Prec@5 75.781 (74.030)
Epoch: [31][560/14090]	Time 0.772 (0.757)	Data 0.001 (0.009)	Loss 2.0723 (2.2605)	Prec@1 50.000 (43.604)	Prec@5 78.906 (74.022)
Epoch: [31][570/14090]	Time 0.737 (0.757)	Data 0.002 (0.009)	Loss 2.2420 (2.2616)	Prec@1 45.312 (43.610)	Prec@5 74.219 (73.977)
Epoch: [31][580/14090]	Time 0.732 (0.757)	Data 0.001 (0.009)	Loss 2.3794 (2.2615)	Prec@1 39.844 (43.630)	Prec@5 71.875 (73.994)
Epoch: [31][590/14090]	Time 0.784 (0.757)	Data 0.001 (0.009)	Loss 2.2668 (2.2603)	Prec@1 44.531 (43.687)	Prec@5 74.219 (74.034)
Epoch: [31][600/14090]	Time 0.760 (0.757)	Data 0.001 (0.009)	Loss 2.2314 (2.2601)	Prec@1 39.062 (43.672)	Prec@5 75.781 (74.045)
Epoch: [31][610/14090]	Time 0.745 (0.757)	Data 0.001 (0.008)	Loss 2.2732 (2.2606)	Prec@1 42.188 (43.662)	Prec@5 75.000 (74.065)
Epoch: [31][620/14090]	Time 0.752 (0.757)	Data 0.001 (0.008)	Loss 2.1240 (2.2594)	Prec@1 48.438 (43.690)	Prec@5 74.219 (74.093)
Epoch: [31][630/14090]	Time 0.737 (0.756)	Data 0.001 (0.008)	Loss 2.2009 (2.2585)	Prec@1 42.188 (43.717)	Prec@5 77.344 (74.111)
Epoch: [31][640/14090]	Time 0.755 (0.756)	Data 0.003 (0.008)	Loss 2.3605 (2.2582)	Prec@1 45.312 (43.730)	Prec@5 69.531 (74.114)
Epoch: [31][650/14090]	Time 0.752 (0.756)	Data 0.001 (0.008)	Loss 2.0244 (2.2582)	Prec@1 50.000 (43.738)	Prec@5 75.000 (74.122)
Epoch: [31][660/14090]	Time 0.765 (0.756)	Data 0.001 (0.008)	Loss 2.1911 (2.2589)	Prec@1 42.188 (43.711)	Prec@5 71.875 (74.118)
Epoch: [31][670/14090]	Time 0.739 (0.756)	Data 0.001 (0.008)	Loss 2.0523 (2.2580)	Prec@1 43.750 (43.701)	Prec@5 78.906 (74.144)
Epoch: [31][680/14090]	Time 0.766 (0.756)	Data 0.001 (0.008)	Loss 2.1927 (2.2583)	Prec@1 43.750 (43.687)	Prec@5 79.688 (74.133)
Epoch: [31][690/14090]	Time 0.774 (0.756)	Data 0.001 (0.008)	Loss 2.0889 (2.2577)	Prec@1 50.781 (43.707)	Prec@5 78.906 (74.158)
Epoch: [31][700/14090]	Time 0.754 (0.756)	Data 0.001 (0.007)	Loss 2.4543 (2.2584)	Prec@1 39.062 (43.674)	Prec@5 74.219 (74.163)
Epoch: [31][710/14090]	Time 0.740 (0.756)	Data 0.002 (0.007)	Loss 2.4021 (2.2581)	Prec@1 39.844 (43.680)	Prec@5 72.656 (74.181)
Epoch: [31][720/14090]	Time 0.735 (0.756)	Data 0.001 (0.007)	Loss 2.3118 (2.2572)	Prec@1 42.188 (43.686)	Prec@5 75.781 (74.205)
Epoch: [31][730/14090]	Time 0.749 (0.755)	Data 0.001 (0.007)	Loss 2.2964 (2.2585)	Prec@1 47.656 (43.665)	Prec@5 74.219 (74.182)
Epoch: [31][740/14090]	Time 0.749 (0.756)	Data 0.001 (0.007)	Loss 2.2824 (2.2585)	Prec@1 44.531 (43.657)	Prec@5 72.656 (74.172)
Epoch: [31][750/14090]	Time 0.742 (0.755)	Data 0.001 (0.007)	Loss 2.2904 (2.2589)	Prec@1 41.406 (43.651)	Prec@5 71.875 (74.157)
Epoch: [31][760/14090]	Time 0.735 (0.755)	Data 0.001 (0.007)	Loss 2.3682 (2.2589)	Prec@1 38.281 (43.641)	Prec@5 71.875 (74.166)
Epoch: [31][770/14090]	Time 0.729 (0.755)	Data 0.001 (0.007)	Loss 2.1581 (2.2595)	Prec@1 42.188 (43.611)	Prec@5 78.125 (74.173)
Epoch: [31][780/14090]	Time 0.736 (0.755)	Data 0.002 (0.007)	Loss 2.0957 (2.2592)	Prec@1 47.656 (43.624)	Prec@5 77.344 (74.160)
Epoch: [31][790/14090]	Time 0.739 (0.755)	Data 0.001 (0.007)	Loss 2.2454 (2.2583)	Prec@1 41.406 (43.633)	Prec@5 75.781 (74.184)
Epoch: [31][800/14090]	Time 0.760 (0.755)	Data 0.001 (0.007)	Loss 2.0633 (2.2569)	Prec@1 47.656 (43.654)	Prec@5 76.562 (74.207)
Epoch: [31][810/14090]	Time 0.752 (0.755)	Data 0.001 (0.007)	Loss 2.0956 (2.2553)	Prec@1 42.969 (43.694)	Prec@5 77.344 (74.237)
Epoch: [31][820/14090]	Time 0.738 (0.755)	Data 0.001 (0.007)	Loss 2.5340 (2.2549)	Prec@1 41.406 (43.716)	Prec@5 72.656 (74.256)
Epoch: [31][830/14090]	Time 0.752 (0.755)	Data 0.001 (0.006)	Loss 2.2873 (2.2538)	Prec@1 44.531 (43.753)	Prec@5 72.656 (74.267)
Epoch: [31][840/14090]	Time 0.743 (0.755)	Data 0.001 (0.006)	Loss 2.2913 (2.2543)	Prec@1 40.625 (43.734)	Prec@5 75.000 (74.268)
Epoch: [31][850/14090]	Time 0.743 (0.755)	Data 0.002 (0.006)	Loss 1.9695 (2.2535)	Prec@1 45.312 (43.723)	Prec@5 79.688 (74.283)
Epoch: [31][860/14090]	Time 0.780 (0.755)	Data 0.001 (0.006)	Loss 2.1094 (2.2537)	Prec@1 50.000 (43.738)	Prec@5 79.688 (74.288)
Epoch: [31][870/14090]	Time 0.742 (0.755)	Data 0.001 (0.006)	Loss 2.0712 (2.2536)	Prec@1 47.656 (43.737)	Prec@5 74.219 (74.277)
Epoch: [31][880/14090]	Time 0.730 (0.755)	Data 0.001 (0.006)	Loss 2.2136 (2.2527)	Prec@1 42.969 (43.754)	Prec@5 79.688 (74.286)
Epoch: [31][890/14090]	Time 0.739 (0.755)	Data 0.001 (0.006)	Loss 2.1025 (2.2523)	Prec@1 49.219 (43.751)	Prec@5 75.781 (74.288)
Epoch: [31][900/14090]	Time 0.728 (0.755)	Data 0.001 (0.006)	Loss 2.2169 (2.2520)	Prec@1 43.750 (43.765)	Prec@5 72.656 (74.293)
Epoch: [31][910/14090]	Time 0.790 (0.755)	Data 0.001 (0.006)	Loss 2.1555 (2.2516)	Prec@1 46.094 (43.775)	Prec@5 75.000 (74.315)
Epoch: [31][920/14090]	Time 0.727 (0.755)	Data 0.002 (0.006)	Loss 2.3029 (2.2521)	Prec@1 42.969 (43.746)	Prec@5 73.438 (74.309)
Epoch: [31][930/14090]	Time 0.757 (0.754)	Data 0.001 (0.006)	Loss 2.2413 (2.2520)	Prec@1 44.531 (43.752)	Prec@5 75.781 (74.309)
Epoch: [31][940/14090]	Time 0.737 (0.754)	Data 0.001 (0.006)	Loss 2.0165 (2.2511)	Prec@1 46.875 (43.772)	Prec@5 78.906 (74.317)
Epoch: [31][950/14090]	Time 0.758 (0.754)	Data 0.001 (0.006)	Loss 2.5940 (2.2521)	Prec@1 34.375 (43.766)	Prec@5 65.625 (74.295)
Epoch: [31][960/14090]	Time 0.758 (0.754)	Data 0.001 (0.006)	Loss 2.2115 (2.2520)	Prec@1 41.406 (43.767)	Prec@5 75.781 (74.297)
Epoch: [31][970/14090]	Time 0.754 (0.754)	Data 0.001 (0.006)	Loss 2.6573 (2.2520)	Prec@1 44.531 (43.773)	Prec@5 65.625 (74.294)
Epoch: [31][980/14090]	Time 0.752 (0.754)	Data 0.001 (0.006)	Loss 2.3730 (2.2518)	Prec@1 36.719 (43.769)	Prec@5 74.219 (74.292)
Epoch: [31][990/14090]	Time 0.743 (0.754)	Data 0.002 (0.006)	Loss 2.2119 (2.2518)	Prec@1 42.969 (43.764)	Prec@5 76.562 (74.305)
Epoch: [31][1000/14090]	Time 0.748 (0.754)	Data 0.001 (0.006)	Loss 2.3482 (2.2522)	Prec@1 44.531 (43.773)	Prec@5 67.969 (74.295)
Epoch: [31][1010/14090]	Time 0.728 (0.754)	Data 0.001 (0.006)	Loss 2.1068 (2.2524)	Prec@1 47.656 (43.782)	Prec@5 78.125 (74.284)
Epoch: [31][1020/14090]	Time 0.744 (0.754)	Data 0.001 (0.005)	Loss 2.2670 (2.2530)	Prec@1 46.094 (43.756)	Prec@5 75.000 (74.281)
Epoch: [31][1030/14090]	Time 0.755 (0.754)	Data 0.001 (0.005)	Loss 2.0871 (2.2527)	Prec@1 46.094 (43.772)	Prec@5 75.781 (74.273)
Epoch: [31][1040/14090]	Time 0.746 (0.754)	Data 0.001 (0.005)	Loss 2.3193 (2.2520)	Prec@1 45.312 (43.799)	Prec@5 71.094 (74.278)
Epoch: [31][1050/14090]	Time 0.747 (0.754)	Data 0.001 (0.005)	Loss 2.4880 (2.2525)	Prec@1 35.156 (43.797)	Prec@5 68.750 (74.261)
Epoch: [31][1060/14090]	Time 0.733 (0.754)	Data 0.002 (0.005)	Loss 2.1541 (2.2523)	Prec@1 42.188 (43.802)	Prec@5 74.219 (74.261)
Epoch: [31][1070/14090]	Time 0.757 (0.754)	Data 0.001 (0.005)	Loss 2.3630 (2.2533)	Prec@1 46.094 (43.791)	Prec@5 71.875 (74.236)
Epoch: [31][1080/14090]	Time 0.745 (0.754)	Data 0.001 (0.005)	Loss 2.0605 (2.2534)	Prec@1 52.344 (43.783)	Prec@5 79.688 (74.232)
Epoch: [31][1090/14090]	Time 0.741 (0.754)	Data 0.001 (0.005)	Loss 2.2599 (2.2526)	Prec@1 42.188 (43.800)	Prec@5 74.219 (74.244)
Epoch: [31][1100/14090]	Time 0.754 (0.754)	Data 0.001 (0.005)	Loss 2.3566 (2.2525)	Prec@1 44.531 (43.807)	Prec@5 69.531 (74.243)
Epoch: [31][1110/14090]	Time 0.743 (0.754)	Data 0.001 (0.005)	Loss 2.2184 (2.2517)	Prec@1 43.750 (43.843)	Prec@5 78.125 (74.245)
Epoch: [31][1120/14090]	Time 0.736 (0.754)	Data 0.001 (0.005)	Loss 1.8589 (2.2518)	Prec@1 48.438 (43.844)	Prec@5 82.812 (74.240)
Epoch: [31][1130/14090]	Time 0.737 (0.754)	Data 0.002 (0.005)	Loss 2.3802 (2.2519)	Prec@1 45.312 (43.823)	Prec@5 67.188 (74.233)
Epoch: [31][1140/14090]	Time 0.738 (0.753)	Data 0.001 (0.005)	Loss 2.2233 (2.2524)	Prec@1 42.188 (43.816)	Prec@5 71.875 (74.226)
Epoch: [31][1150/14090]	Time 0.771 (0.753)	Data 0.001 (0.005)	Loss 2.4357 (2.2522)	Prec@1 42.969 (43.820)	Prec@5 71.094 (74.227)
Epoch: [31][1160/14090]	Time 0.747 (0.753)	Data 0.001 (0.005)	Loss 2.2626 (2.2522)	Prec@1 46.875 (43.825)	Prec@5 72.656 (74.213)
Epoch: [31][1170/14090]	Time 0.738 (0.753)	Data 0.001 (0.005)	Loss 1.9777 (2.2511)	Prec@1 50.000 (43.853)	Prec@5 82.031 (74.235)
Epoch: [31][1180/14090]	Time 0.756 (0.753)	Data 0.001 (0.005)	Loss 2.2074 (2.2513)	Prec@1 47.656 (43.858)	Prec@5 76.562 (74.222)
Epoch: [31][1190/14090]	Time 0.735 (0.753)	Data 0.001 (0.005)	Loss 2.3328 (2.2510)	Prec@1 41.406 (43.846)	Prec@5 73.438 (74.231)
Epoch: [31][1200/14090]	Time 0.759 (0.753)	Data 0.002 (0.005)	Loss 2.2425 (2.2516)	Prec@1 42.969 (43.831)	Prec@5 74.219 (74.222)
Epoch: [31][1210/14090]	Time 0.734 (0.753)	Data 0.001 (0.005)	Loss 2.3983 (2.2512)	Prec@1 34.375 (43.835)	Prec@5 71.094 (74.235)
Epoch: [31][1220/14090]	Time 0.732 (0.753)	Data 0.001 (0.005)	Loss 2.3171 (2.2506)	Prec@1 41.406 (43.847)	Prec@5 73.438 (74.236)
Epoch: [31][1230/14090]	Time 0.732 (0.753)	Data 0.001 (0.005)	Loss 2.2790 (2.2500)	Prec@1 43.750 (43.846)	Prec@5 75.781 (74.248)
Epoch: [31][1240/14090]	Time 0.730 (0.753)	Data 0.001 (0.005)	Loss 2.1914 (2.2506)	Prec@1 48.438 (43.832)	Prec@5 76.562 (74.238)
Epoch: [31][1250/14090]	Time 0.765 (0.753)	Data 0.001 (0.005)	Loss 2.1328 (2.2507)	Prec@1 49.219 (43.836)	Prec@5 76.562 (74.232)
Epoch: [31][1260/14090]	Time 0.733 (0.753)	Data 0.001 (0.005)	Loss 2.3447 (2.2509)	Prec@1 43.750 (43.843)	Prec@5 70.312 (74.232)
Epoch: [31][1270/14090]	Time 0.724 (0.753)	Data 0.002 (0.005)	Loss 1.9928 (2.2509)	Prec@1 49.219 (43.837)	Prec@5 78.906 (74.225)
Epoch: [31][1280/14090]	Time 0.742 (0.753)	Data 0.001 (0.005)	Loss 2.4972 (2.2504)	Prec@1 39.062 (43.837)	Prec@5 70.312 (74.236)
Epoch: [31][1290/14090]	Time 0.775 (0.753)	Data 0.001 (0.005)	Loss 2.0349 (2.2507)	Prec@1 53.125 (43.832)	Prec@5 76.562 (74.231)
Epoch: [31][1300/14090]	Time 0.749 (0.753)	Data 0.001 (0.005)	Loss 2.2681 (2.2502)	Prec@1 47.656 (43.842)	Prec@5 68.750 (74.242)
Epoch: [31][1310/14090]	Time 0.724 (0.753)	Data 0.001 (0.004)	Loss 2.1922 (2.2497)	Prec@1 43.750 (43.850)	Prec@5 77.344 (74.245)
Epoch: [31][1320/14090]	Time 0.768 (0.753)	Data 0.001 (0.004)	Loss 2.1702 (2.2500)	Prec@1 42.188 (43.847)	Prec@5 78.906 (74.249)
Epoch: [31][1330/14090]	Time 0.738 (0.753)	Data 0.001 (0.004)	Loss 2.4219 (2.2502)	Prec@1 34.375 (43.827)	Prec@5 71.094 (74.242)
Epoch: [31][1340/14090]	Time 0.721 (0.753)	Data 0.002 (0.004)	Loss 2.2053 (2.2495)	Prec@1 42.969 (43.838)	Prec@5 73.438 (74.251)
Epoch: [31][1350/14090]	Time 0.736 (0.753)	Data 0.001 (0.004)	Loss 2.3653 (2.2491)	Prec@1 35.938 (43.829)	Prec@5 75.000 (74.260)
Epoch: [31][1360/14090]	Time 0.746 (0.753)	Data 0.001 (0.004)	Loss 2.2274 (2.2491)	Prec@1 44.531 (43.841)	Prec@5 76.562 (74.262)
Epoch: [31][1370/14090]	Time 0.741 (0.753)	Data 0.001 (0.004)	Loss 2.3653 (2.2490)	Prec@1 41.406 (43.852)	Prec@5 69.531 (74.260)
Epoch: [31][1380/14090]	Time 0.769 (0.753)	Data 0.001 (0.004)	Loss 2.1338 (2.2489)	Prec@1 46.094 (43.859)	Prec@5 78.906 (74.259)
Epoch: [31][1390/14090]	Time 0.756 (0.753)	Data 0.001 (0.004)	Loss 2.3502 (2.2485)	Prec@1 42.188 (43.872)	Prec@5 71.094 (74.268)
Epoch: [31][1400/14090]	Time 0.727 (0.753)	Data 0.001 (0.004)	Loss 2.5358 (2.2491)	Prec@1 33.594 (43.854)	Prec@5 70.312 (74.258)
Epoch: [31][1410/14090]	Time 0.756 (0.753)	Data 0.002 (0.004)	Loss 2.2321 (2.2488)	Prec@1 46.875 (43.855)	Prec@5 75.000 (74.261)
Epoch: [31][1420/14090]	Time 0.745 (0.753)	Data 0.001 (0.004)	Loss 2.1113 (2.2487)	Prec@1 49.219 (43.862)	Prec@5 79.688 (74.257)
Epoch: [31][1430/14090]	Time 0.754 (0.753)	Data 0.001 (0.004)	Loss 2.2236 (2.2484)	Prec@1 42.969 (43.870)	Prec@5 75.000 (74.247)
Epoch: [31][1440/14090]	Time 0.737 (0.753)	Data 0.001 (0.004)	Loss 2.4492 (2.2487)	Prec@1 40.625 (43.854)	Prec@5 68.750 (74.250)
Epoch: [31][1450/14090]	Time 0.762 (0.753)	Data 0.001 (0.004)	Loss 2.2422 (2.2483)	Prec@1 42.969 (43.864)	Prec@5 75.781 (74.252)
Epoch: [31][1460/14090]	Time 0.728 (0.752)	Data 0.001 (0.004)	Loss 2.4403 (2.2485)	Prec@1 45.312 (43.863)	Prec@5 73.438 (74.256)
Epoch: [31][1470/14090]	Time 0.752 (0.752)	Data 0.001 (0.004)	Loss 2.1908 (2.2486)	Prec@1 44.531 (43.857)	Prec@5 76.562 (74.262)
Epoch: [31][1480/14090]	Time 0.731 (0.752)	Data 0.002 (0.004)	Loss 2.1044 (2.2484)	Prec@1 45.312 (43.851)	Prec@5 82.031 (74.265)
Epoch: [31][1490/14090]	Time 0.735 (0.752)	Data 0.001 (0.004)	Loss 2.4656 (2.2485)	Prec@1 42.188 (43.854)	Prec@5 71.875 (74.268)
Epoch: [31][1500/14090]	Time 0.751 (0.752)	Data 0.001 (0.004)	Loss 2.4287 (2.2484)	Prec@1 43.750 (43.849)	Prec@5 67.969 (74.268)
Epoch: [31][1510/14090]	Time 0.730 (0.752)	Data 0.001 (0.004)	Loss 2.4126 (2.2486)	Prec@1 40.625 (43.850)	Prec@5 71.875 (74.255)
Epoch: [31][1520/14090]	Time 0.771 (0.752)	Data 0.001 (0.004)	Loss 2.1436 (2.2482)	Prec@1 43.750 (43.850)	Prec@5 79.688 (74.268)
Epoch: [31][1530/14090]	Time 0.734 (0.752)	Data 0.001 (0.004)	Loss 2.5658 (2.2491)	Prec@1 39.844 (43.837)	Prec@5 72.656 (74.247)
Epoch: [31][1540/14090]	Time 0.746 (0.752)	Data 0.001 (0.004)	Loss 2.4709 (2.2490)	Prec@1 34.375 (43.839)	Prec@5 67.969 (74.247)
Epoch: [31][1550/14090]	Time 0.726 (0.752)	Data 0.002 (0.004)	Loss 2.3849 (2.2488)	Prec@1 42.969 (43.844)	Prec@5 70.312 (74.250)
Epoch: [31][1560/14090]	Time 0.786 (0.752)	Data 0.001 (0.004)	Loss 2.2028 (2.2486)	Prec@1 44.531 (43.845)	Prec@5 73.438 (74.256)
Epoch: [31][1570/14090]	Time 0.759 (0.752)	Data 0.001 (0.004)	Loss 2.2039 (2.2485)	Prec@1 48.438 (43.840)	Prec@5 72.656 (74.262)
Epoch: [31][1580/14090]	Time 0.761 (0.752)	Data 0.001 (0.004)	Loss 2.1045 (2.2484)	Prec@1 42.188 (43.841)	Prec@5 76.562 (74.271)
Epoch: [31][1590/14090]	Time 0.748 (0.752)	Data 0.001 (0.004)	Loss 2.0998 (2.2485)	Prec@1 50.000 (43.848)	Prec@5 75.781 (74.269)
Epoch: [31][1600/14090]	Time 0.741 (0.752)	Data 0.001 (0.004)	Loss 2.3181 (2.2479)	Prec@1 39.062 (43.855)	Prec@5 71.094 (74.282)
Epoch: [31][1610/14090]	Time 0.768 (0.752)	Data 0.001 (0.004)	Loss 2.1587 (2.2484)	Prec@1 43.750 (43.847)	Prec@5 75.781 (74.270)
Epoch: [31][1620/14090]	Time 0.727 (0.752)	Data 0.002 (0.004)	Loss 2.0744 (2.2480)	Prec@1 49.219 (43.864)	Prec@5 80.469 (74.279)
Epoch: [31][1630/14090]	Time 0.739 (0.752)	Data 0.001 (0.004)	Loss 2.4461 (2.2480)	Prec@1 44.531 (43.864)	Prec@5 71.875 (74.274)
Epoch: [31][1640/14090]	Time 0.733 (0.752)	Data 0.001 (0.004)	Loss 1.9691 (2.2479)	Prec@1 45.312 (43.858)	Prec@5 78.125 (74.278)
Epoch: [31][1650/14090]	Time 0.728 (0.752)	Data 0.001 (0.004)	Loss 2.5030 (2.2484)	Prec@1 39.844 (43.849)	Prec@5 73.438 (74.268)
Epoch: [31][1660/14090]	Time 0.733 (0.752)	Data 0.001 (0.004)	Loss 2.4388 (2.2487)	Prec@1 43.750 (43.847)	Prec@5 71.094 (74.269)
Epoch: [31][1670/14090]	Time 0.771 (0.752)	Data 0.001 (0.004)	Loss 2.3102 (2.2490)	Prec@1 42.969 (43.837)	Prec@5 72.656 (74.264)
Epoch: [31][1680/14090]	Time 0.757 (0.752)	Data 0.001 (0.004)	Loss 2.0929 (2.2487)	Prec@1 49.219 (43.843)	Prec@5 77.344 (74.274)
Epoch: [31][1690/14090]	Time 0.744 (0.752)	Data 0.002 (0.004)	Loss 2.1029 (2.2488)	Prec@1 36.719 (43.846)	Prec@5 78.906 (74.275)
Epoch: [31][1700/14090]	Time 0.779 (0.752)	Data 0.001 (0.004)	Loss 2.5068 (2.2492)	Prec@1 34.375 (43.826)	Prec@5 73.438 (74.273)
Epoch: [31][1710/14090]	Time 0.761 (0.752)	Data 0.001 (0.004)	Loss 2.0671 (2.2488)	Prec@1 48.438 (43.827)	Prec@5 78.125 (74.280)
Epoch: [31][1720/14090]	Time 0.732 (0.752)	Data 0.001 (0.004)	Loss 2.3597 (2.2486)	Prec@1 35.938 (43.824)	Prec@5 71.875 (74.283)
Epoch: [31][1730/14090]	Time 0.754 (0.752)	Data 0.001 (0.004)	Loss 2.2743 (2.2487)	Prec@1 48.438 (43.824)	Prec@5 75.000 (74.281)
Epoch: [31][1740/14090]	Time 0.753 (0.752)	Data 0.001 (0.004)	Loss 2.4010 (2.2489)	Prec@1 46.875 (43.829)	Prec@5 75.000 (74.281)
Epoch: [31][1750/14090]	Time 0.734 (0.752)	Data 0.001 (0.004)	Loss 2.3508 (2.2493)	Prec@1 45.312 (43.823)	Prec@5 70.312 (74.269)
Epoch: [31][1760/14090]	Time 0.753 (0.752)	Data 0.002 (0.004)	Loss 2.3322 (2.2490)	Prec@1 40.625 (43.838)	Prec@5 68.750 (74.267)
Epoch: [31][1770/14090]	Time 0.737 (0.752)	Data 0.001 (0.004)	Loss 2.3598 (2.2496)	Prec@1 35.156 (43.819)	Prec@5 75.000 (74.258)
Epoch: [31][1780/14090]	Time 0.746 (0.752)	Data 0.001 (0.004)	Loss 2.3942 (2.2499)	Prec@1 35.938 (43.802)	Prec@5 71.875 (74.255)
Epoch: [31][1790/14090]	Time 0.740 (0.752)	Data 0.001 (0.004)	Loss 2.5023 (2.2509)	Prec@1 43.750 (43.784)	Prec@5 68.750 (74.236)
Epoch: [31][1800/14090]	Time 0.752 (0.752)	Data 0.001 (0.004)	Loss 2.4093 (2.2510)	Prec@1 40.625 (43.780)	Prec@5 71.094 (74.233)
Epoch: [31][1810/14090]	Time 0.724 (0.752)	Data 0.001 (0.004)	Loss 2.0067 (2.2511)	Prec@1 50.781 (43.784)	Prec@5 75.781 (74.226)
Epoch: [31][1820/14090]	Time 0.763 (0.752)	Data 0.001 (0.004)	Loss 2.2874 (2.2514)	Prec@1 49.219 (43.779)	Prec@5 75.000 (74.225)
Epoch: [31][1830/14090]	Time 0.768 (0.752)	Data 0.002 (0.004)	Loss 2.4174 (2.2512)	Prec@1 38.281 (43.784)	Prec@5 68.750 (74.231)
Epoch: [31][1840/14090]	Time 0.726 (0.752)	Data 0.001 (0.003)	Loss 2.1160 (2.2506)	Prec@1 53.906 (43.796)	Prec@5 79.688 (74.245)
Epoch: [31][1850/14090]	Time 0.753 (0.752)	Data 0.001 (0.003)	Loss 2.3816 (2.2511)	Prec@1 42.188 (43.788)	Prec@5 75.781 (74.241)
Epoch: [31][1860/14090]	Time 0.776 (0.752)	Data 0.001 (0.003)	Loss 2.1522 (2.2507)	Prec@1 48.438 (43.800)	Prec@5 73.438 (74.252)
Epoch: [31][1870/14090]	Time 0.791 (0.752)	Data 0.001 (0.003)	Loss 2.0325 (2.2504)	Prec@1 51.562 (43.813)	Prec@5 75.781 (74.261)
Epoch: [31][1880/14090]	Time 0.738 (0.752)	Data 0.001 (0.003)	Loss 2.2385 (2.2507)	Prec@1 46.094 (43.804)	Prec@5 74.219 (74.257)
Epoch: [31][1890/14090]	Time 0.735 (0.752)	Data 0.001 (0.003)	Loss 2.4332 (2.2503)	Prec@1 45.312 (43.812)	Prec@5 72.656 (74.264)
Epoch: [31][1900/14090]	Time 0.733 (0.752)	Data 0.002 (0.003)	Loss 2.2506 (2.2505)	Prec@1 47.656 (43.810)	Prec@5 71.875 (74.264)
Epoch: [31][1910/14090]	Time 0.726 (0.752)	Data 0.001 (0.003)	Loss 2.4758 (2.2508)	Prec@1 40.625 (43.811)	Prec@5 67.188 (74.263)
Epoch: [31][1920/14090]	Time 0.733 (0.752)	Data 0.001 (0.003)	Loss 2.3997 (2.2506)	Prec@1 41.406 (43.816)	Prec@5 70.312 (74.270)
Epoch: [31][1930/14090]	Time 0.759 (0.752)	Data 0.001 (0.003)	Loss 2.1427 (2.2504)	Prec@1 50.000 (43.822)	Prec@5 75.781 (74.274)
Epoch: [31][1940/14090]	Time 0.735 (0.752)	Data 0.001 (0.003)	Loss 2.1582 (2.2503)	Prec@1 41.406 (43.820)	Prec@5 78.906 (74.274)
Epoch: [31][1950/14090]	Time 0.740 (0.752)	Data 0.001 (0.003)	Loss 2.0899 (2.2504)	Prec@1 47.656 (43.816)	Prec@5 75.781 (74.266)
Epoch: [31][1960/14090]	Time 0.749 (0.752)	Data 0.001 (0.003)	Loss 1.9949 (2.2497)	Prec@1 55.469 (43.834)	Prec@5 80.469 (74.276)
Epoch: [31][1970/14090]	Time 0.735 (0.752)	Data 0.002 (0.003)	Loss 2.2261 (2.2495)	Prec@1 41.406 (43.834)	Prec@5 76.562 (74.279)
Epoch: [31][1980/14090]	Time 0.757 (0.752)	Data 0.001 (0.003)	Loss 2.3542 (2.2492)	Prec@1 41.406 (43.846)	Prec@5 70.312 (74.284)
Epoch: [31][1990/14090]	Time 0.732 (0.752)	Data 0.001 (0.003)	Loss 2.2649 (2.2493)	Prec@1 40.625 (43.840)	Prec@5 72.656 (74.278)
Epoch: [31][2000/14090]	Time 0.756 (0.752)	Data 0.001 (0.003)	Loss 2.4031 (2.2498)	Prec@1 43.750 (43.834)	Prec@5 67.969 (74.266)
Epoch: [31][2010/14090]	Time 0.754 (0.752)	Data 0.001 (0.003)	Loss 2.2966 (2.2496)	Prec@1 46.875 (43.839)	Prec@5 68.750 (74.258)
Epoch: [31][2020/14090]	Time 0.764 (0.752)	Data 0.001 (0.003)	Loss 2.2266 (2.2497)	Prec@1 43.750 (43.835)	Prec@5 74.219 (74.260)
Epoch: [31][2030/14090]	Time 0.743 (0.752)	Data 0.001 (0.003)	Loss 1.9695 (2.2496)	Prec@1 47.656 (43.837)	Prec@5 80.469 (74.260)
Epoch: [31][2040/14090]	Time 0.753 (0.752)	Data 0.002 (0.003)	Loss 1.9337 (2.2489)	Prec@1 53.125 (43.849)	Prec@5 77.344 (74.276)
Epoch: [31][2050/14090]	Time 0.756 (0.752)	Data 0.001 (0.003)	Loss 2.1402 (2.2491)	Prec@1 42.969 (43.837)	Prec@5 75.781 (74.275)
Epoch: [31][2060/14090]	Time 0.732 (0.751)	Data 0.001 (0.003)	Loss 2.3769 (2.2494)	Prec@1 38.281 (43.825)	Prec@5 73.438 (74.268)
Epoch: [31][2070/14090]	Time 0.736 (0.751)	Data 0.001 (0.003)	Loss 2.2805 (2.2494)	Prec@1 44.531 (43.825)	Prec@5 71.875 (74.267)
Epoch: [31][2080/14090]	Time 0.784 (0.751)	Data 0.001 (0.003)	Loss 1.9615 (2.2492)	Prec@1 53.906 (43.830)	Prec@5 78.125 (74.264)
Epoch: [31][2090/14090]	Time 0.739 (0.751)	Data 0.001 (0.003)	Loss 1.9592 (2.2493)	Prec@1 51.562 (43.829)	Prec@5 83.594 (74.264)
Epoch: [31][2100/14090]	Time 0.737 (0.751)	Data 0.001 (0.003)	Loss 2.1187 (2.2490)	Prec@1 41.406 (43.827)	Prec@5 78.906 (74.269)
Epoch: [31][2110/14090]	Time 0.737 (0.751)	Data 0.002 (0.003)	Loss 2.2126 (2.2490)	Prec@1 46.875 (43.829)	Prec@5 75.781 (74.267)
Epoch: [31][2120/14090]	Time 0.751 (0.751)	Data 0.001 (0.003)	Loss 2.4054 (2.2490)	Prec@1 42.188 (43.822)	Prec@5 68.750 (74.268)
Epoch: [31][2130/14090]	Time 0.724 (0.751)	Data 0.001 (0.003)	Loss 2.4429 (2.2499)	Prec@1 37.500 (43.806)	Prec@5 67.188 (74.246)
Epoch: [31][2140/14090]	Time 0.764 (0.751)	Data 0.001 (0.003)	Loss 2.2154 (2.2499)	Prec@1 40.625 (43.805)	Prec@5 73.438 (74.246)
Epoch: [31][2150/14090]	Time 0.758 (0.751)	Data 0.001 (0.003)	Loss 2.5028 (2.2503)	Prec@1 35.938 (43.794)	Prec@5 70.312 (74.240)
Epoch: [31][2160/14090]	Time 0.732 (0.751)	Data 0.001 (0.003)	Loss 2.2433 (2.2501)	Prec@1 42.969 (43.796)	Prec@5 75.781 (74.244)
Epoch: [31][2170/14090]	Time 0.781 (0.751)	Data 0.001 (0.003)	Loss 2.4141 (2.2500)	Prec@1 37.500 (43.796)	Prec@5 68.750 (74.244)
Epoch: [31][2180/14090]	Time 0.756 (0.751)	Data 0.002 (0.003)	Loss 2.3868 (2.2502)	Prec@1 39.062 (43.791)	Prec@5 68.750 (74.243)
Epoch: [31][2190/14090]	Time 0.737 (0.751)	Data 0.001 (0.003)	Loss 2.5461 (2.2504)	Prec@1 32.031 (43.779)	Prec@5 68.750 (74.239)
Epoch: [31][2200/14090]	Time 0.773 (0.751)	Data 0.001 (0.003)	Loss 2.2930 (2.2502)	Prec@1 47.656 (43.782)	Prec@5 71.875 (74.244)
Epoch: [31][2210/14090]	Time 0.728 (0.751)	Data 0.001 (0.003)	Loss 2.1478 (2.2502)	Prec@1 42.188 (43.778)	Prec@5 79.688 (74.248)
Epoch: [31][2220/14090]	Time 0.762 (0.751)	Data 0.001 (0.003)	Loss 2.2138 (2.2502)	Prec@1 39.062 (43.771)	Prec@5 78.906 (74.248)
Epoch: [31][2230/14090]	Time 0.740 (0.751)	Data 0.001 (0.003)	Loss 2.3178 (2.2500)	Prec@1 40.625 (43.778)	Prec@5 75.781 (74.256)
Epoch: [31][2240/14090]	Time 0.749 (0.751)	Data 0.001 (0.003)	Loss 1.8062 (2.2498)	Prec@1 55.469 (43.780)	Prec@5 82.812 (74.258)
Epoch: [31][2250/14090]	Time 0.764 (0.751)	Data 0.002 (0.003)	Loss 2.1951 (2.2496)	Prec@1 45.312 (43.783)	Prec@5 71.875 (74.254)
Epoch: [31][2260/14090]	Time 0.753 (0.751)	Data 0.001 (0.003)	Loss 2.4487 (2.2500)	Prec@1 38.281 (43.767)	Prec@5 68.750 (74.243)
Epoch: [31][2270/14090]	Time 0.771 (0.751)	Data 0.001 (0.003)	Loss 2.2587 (2.2498)	Prec@1 42.188 (43.770)	Prec@5 71.875 (74.243)
Epoch: [31][2280/14090]	Time 0.742 (0.751)	Data 0.001 (0.003)	Loss 2.2552 (2.2495)	Prec@1 43.750 (43.781)	Prec@5 70.312 (74.246)
Epoch: [31][2290/14090]	Time 0.732 (0.751)	Data 0.001 (0.003)	Loss 2.0188 (2.2493)	Prec@1 52.344 (43.778)	Prec@5 75.000 (74.254)
Epoch: [31][2300/14090]	Time 0.756 (0.751)	Data 0.001 (0.003)	Loss 2.5355 (2.2493)	Prec@1 42.188 (43.777)	Prec@5 74.219 (74.256)
Epoch: [31][2310/14090]	Time 0.749 (0.751)	Data 0.001 (0.003)	Loss 2.4515 (2.2496)	Prec@1 36.719 (43.771)	Prec@5 71.094 (74.252)
Epoch: [31][2320/14090]	Time 0.721 (0.751)	Data 0.002 (0.003)	Loss 2.3387 (2.2499)	Prec@1 39.844 (43.766)	Prec@5 73.438 (74.246)
Epoch: [31][2330/14090]	Time 0.766 (0.751)	Data 0.001 (0.003)	Loss 2.3452 (2.2501)	Prec@1 39.062 (43.762)	Prec@5 70.312 (74.240)
Epoch: [31][2340/14090]	Time 0.732 (0.751)	Data 0.001 (0.003)	Loss 2.3180 (2.2500)	Prec@1 46.094 (43.772)	Prec@5 73.438 (74.247)
Epoch: [31][2350/14090]	Time 0.726 (0.751)	Data 0.001 (0.003)	Loss 2.1193 (2.2501)	Prec@1 47.656 (43.773)	Prec@5 77.344 (74.244)
Epoch: [31][2360/14090]	Time 0.735 (0.751)	Data 0.001 (0.003)	Loss 2.5962 (2.2503)	Prec@1 37.500 (43.771)	Prec@5 66.406 (74.243)
Epoch: [31][2370/14090]	Time 0.753 (0.751)	Data 0.001 (0.003)	Loss 2.2439 (2.2502)	Prec@1 46.875 (43.772)	Prec@5 75.000 (74.241)
Epoch: [31][2380/14090]	Time 0.732 (0.751)	Data 0.001 (0.003)	Loss 2.5954 (2.2501)	Prec@1 39.844 (43.778)	Prec@5 66.406 (74.241)
Epoch: [31][2390/14090]	Time 0.733 (0.751)	Data 0.002 (0.003)	Loss 2.0632 (2.2498)	Prec@1 48.438 (43.780)	Prec@5 78.125 (74.245)
Epoch: [31][2400/14090]	Time 0.779 (0.751)	Data 0.001 (0.003)	Loss 2.1249 (2.2500)	Prec@1 39.062 (43.778)	Prec@5 79.688 (74.245)
Epoch: [31][2410/14090]	Time 0.736 (0.751)	Data 0.001 (0.003)	Loss 1.9928 (2.2499)	Prec@1 49.219 (43.777)	Prec@5 79.688 (74.245)
Epoch: [31][2420/14090]	Time 0.732 (0.751)	Data 0.001 (0.003)	Loss 2.4797 (2.2496)	Prec@1 38.281 (43.779)	Prec@5 74.219 (74.255)
Epoch: [31][2430/14090]	Time 0.758 (0.751)	Data 0.001 (0.003)	Loss 2.1588 (2.2497)	Prec@1 47.656 (43.779)	Prec@5 75.781 (74.251)
Epoch: [31][2440/14090]	Time 0.762 (0.751)	Data 0.001 (0.003)	Loss 2.4600 (2.2497)	Prec@1 40.625 (43.776)	Prec@5 67.969 (74.253)
Epoch: [31][2450/14090]	Time 0.741 (0.751)	Data 0.001 (0.003)	Loss 2.5539 (2.2502)	Prec@1 38.281 (43.767)	Prec@5 67.969 (74.247)
Epoch: [31][2460/14090]	Time 0.741 (0.751)	Data 0.002 (0.003)	Loss 2.0804 (2.2501)	Prec@1 50.781 (43.769)	Prec@5 77.344 (74.250)
Epoch: [31][2470/14090]	Time 0.732 (0.751)	Data 0.001 (0.003)	Loss 2.4901 (2.2501)	Prec@1 41.406 (43.770)	Prec@5 67.188 (74.250)
Epoch: [31][2480/14090]	Time 0.748 (0.751)	Data 0.001 (0.003)	Loss 2.2578 (2.2499)	Prec@1 39.844 (43.767)	Prec@5 76.562 (74.258)
Epoch: [31][2490/14090]	Time 0.743 (0.751)	Data 0.001 (0.003)	Loss 2.0524 (2.2500)	Prec@1 46.094 (43.764)	Prec@5 77.344 (74.256)
Epoch: [31][2500/14090]	Time 0.736 (0.751)	Data 0.001 (0.003)	Loss 2.2630 (2.2502)	Prec@1 46.094 (43.756)	Prec@5 75.000 (74.250)
Epoch: [31][2510/14090]	Time 0.755 (0.751)	Data 0.001 (0.003)	Loss 2.3183 (2.2501)	Prec@1 42.188 (43.757)	Prec@5 75.000 (74.261)
Epoch: [31][2520/14090]	Time 0.750 (0.751)	Data 0.001 (0.003)	Loss 2.3419 (2.2500)	Prec@1 42.969 (43.760)	Prec@5 68.750 (74.260)
Epoch: [31][2530/14090]	Time 0.732 (0.751)	Data 0.002 (0.003)	Loss 2.3043 (2.2498)	Prec@1 42.188 (43.762)	Prec@5 71.875 (74.264)
Epoch: [31][2540/14090]	Time 0.746 (0.751)	Data 0.001 (0.003)	Loss 2.3617 (2.2494)	Prec@1 39.062 (43.765)	Prec@5 70.312 (74.271)
Epoch: [31][2550/14090]	Time 0.734 (0.751)	Data 0.001 (0.003)	Loss 2.4539 (2.2491)	Prec@1 40.625 (43.774)	Prec@5 74.219 (74.279)
Epoch: [31][2560/14090]	Time 0.757 (0.751)	Data 0.001 (0.003)	Loss 2.0646 (2.2492)	Prec@1 52.344 (43.779)	Prec@5 74.219 (74.276)
Epoch: [31][2570/14090]	Time 0.737 (0.751)	Data 0.001 (0.003)	Loss 2.3701 (2.2492)	Prec@1 40.625 (43.779)	Prec@5 70.312 (74.275)
Epoch: [31][2580/14090]	Time 0.739 (0.751)	Data 0.001 (0.003)	Loss 2.1434 (2.2492)	Prec@1 45.312 (43.782)	Prec@5 74.219 (74.279)
Epoch: [31][2590/14090]	Time 0.727 (0.751)	Data 0.001 (0.003)	Loss 2.3600 (2.2493)	Prec@1 49.219 (43.786)	Prec@5 72.656 (74.272)
Epoch: [31][2600/14090]	Time 0.757 (0.751)	Data 0.002 (0.003)	Loss 2.0510 (2.2494)	Prec@1 42.969 (43.782)	Prec@5 76.562 (74.268)
Epoch: [31][2610/14090]	Time 0.757 (0.751)	Data 0.001 (0.003)	Loss 2.1129 (2.2494)	Prec@1 50.000 (43.787)	Prec@5 81.250 (74.269)
Epoch: [31][2620/14090]	Time 0.749 (0.751)	Data 0.001 (0.003)	Loss 2.4939 (2.2494)	Prec@1 40.625 (43.782)	Prec@5 66.406 (74.272)
Epoch: [31][2630/14090]	Time 0.776 (0.751)	Data 0.001 (0.003)	Loss 2.5076 (2.2495)	Prec@1 34.375 (43.780)	Prec@5 70.312 (74.269)
Epoch: [31][2640/14090]	Time 0.764 (0.751)	Data 0.001 (0.003)	Loss 2.2301 (2.2494)	Prec@1 39.062 (43.781)	Prec@5 75.781 (74.272)
Epoch: [31][2650/14090]	Time 0.744 (0.751)	Data 0.001 (0.003)	Loss 2.3048 (2.2492)	Prec@1 39.062 (43.785)	Prec@5 74.219 (74.276)
Epoch: [31][2660/14090]	Time 0.757 (0.751)	Data 0.001 (0.003)	Loss 2.0813 (2.2493)	Prec@1 39.844 (43.780)	Prec@5 79.688 (74.271)
Epoch: [31][2670/14090]	Time 0.738 (0.751)	Data 0.002 (0.003)	Loss 1.9613 (2.2493)	Prec@1 52.344 (43.775)	Prec@5 82.031 (74.273)
Epoch: [31][2680/14090]	Time 0.753 (0.751)	Data 0.001 (0.003)	Loss 2.4692 (2.2494)	Prec@1 35.156 (43.774)	Prec@5 74.219 (74.271)
Epoch: [31][2690/14090]	Time 0.751 (0.751)	Data 0.001 (0.003)	Loss 2.1401 (2.2495)	Prec@1 42.188 (43.767)	Prec@5 77.344 (74.270)
Epoch: [31][2700/14090]	Time 0.741 (0.751)	Data 0.001 (0.003)	Loss 1.9823 (2.2495)	Prec@1 50.000 (43.765)	Prec@5 78.125 (74.271)
Epoch: [31][2710/14090]	Time 0.753 (0.751)	Data 0.001 (0.003)	Loss 2.3855 (2.2494)	Prec@1 39.844 (43.769)	Prec@5 75.000 (74.269)
Epoch: [31][2720/14090]	Time 0.735 (0.751)	Data 0.001 (0.003)	Loss 2.2322 (2.2494)	Prec@1 45.312 (43.767)	Prec@5 70.312 (74.267)
Epoch: [31][2730/14090]	Time 0.748 (0.751)	Data 0.001 (0.003)	Loss 2.3796 (2.2496)	Prec@1 42.969 (43.772)	Prec@5 73.438 (74.264)
Epoch: [31][2740/14090]	Time 0.735 (0.751)	Data 0.002 (0.003)	Loss 2.1934 (2.2496)	Prec@1 38.281 (43.767)	Prec@5 76.562 (74.267)
Epoch: [31][2750/14090]	Time 0.751 (0.751)	Data 0.001 (0.003)	Loss 2.1451 (2.2497)	Prec@1 42.969 (43.764)	Prec@5 76.562 (74.269)
Epoch: [31][2760/14090]	Time 0.795 (0.751)	Data 0.001 (0.003)	Loss 2.1395 (2.2496)	Prec@1 46.094 (43.761)	Prec@5 76.562 (74.265)
Epoch: [31][2770/14090]	Time 0.738 (0.751)	Data 0.001 (0.003)	Loss 2.4493 (2.2500)	Prec@1 35.938 (43.754)	Prec@5 69.531 (74.255)
Epoch: [31][2780/14090]	Time 0.741 (0.751)	Data 0.001 (0.003)	Loss 2.2379 (2.2500)	Prec@1 46.875 (43.754)	Prec@5 71.875 (74.256)
Epoch: [31][2790/14090]	Time 0.774 (0.751)	Data 0.001 (0.003)	Loss 2.2279 (2.2501)	Prec@1 42.969 (43.754)	Prec@5 75.000 (74.252)
Epoch: [31][2800/14090]	Time 0.748 (0.751)	Data 0.001 (0.003)	Loss 2.0953 (2.2499)	Prec@1 46.875 (43.761)	Prec@5 78.125 (74.255)
Epoch: [31][2810/14090]	Time 0.726 (0.751)	Data 0.002 (0.003)	Loss 2.2357 (2.2498)	Prec@1 38.281 (43.763)	Prec@5 74.219 (74.259)
Epoch: [31][2820/14090]	Time 0.748 (0.751)	Data 0.001 (0.003)	Loss 2.2636 (2.2498)	Prec@1 42.969 (43.763)	Prec@5 75.000 (74.259)
Epoch: [31][2830/14090]	Time 0.734 (0.751)	Data 0.001 (0.003)	Loss 2.1421 (2.2499)	Prec@1 45.312 (43.765)	Prec@5 74.219 (74.257)
Epoch: [31][2840/14090]	Time 0.724 (0.751)	Data 0.001 (0.003)	Loss 2.4211 (2.2498)	Prec@1 39.062 (43.766)	Prec@5 71.094 (74.261)
Epoch: [31][2850/14090]	Time 0.739 (0.751)	Data 0.001 (0.003)	Loss 2.3590 (2.2499)	Prec@1 44.531 (43.757)	Prec@5 70.312 (74.263)
Epoch: [31][2860/14090]	Time 0.737 (0.751)	Data 0.001 (0.003)	Loss 2.3823 (2.2496)	Prec@1 36.719 (43.764)	Prec@5 74.219 (74.269)
Epoch: [31][2870/14090]	Time 0.734 (0.751)	Data 0.001 (0.003)	Loss 2.3324 (2.2499)	Prec@1 45.312 (43.761)	Prec@5 72.656 (74.264)
Epoch: [31][2880/14090]	Time 0.751 (0.751)	Data 0.002 (0.003)	Loss 2.2600 (2.2502)	Prec@1 42.969 (43.758)	Prec@5 71.094 (74.262)
Epoch: [31][2890/14090]	Time 0.742 (0.751)	Data 0.001 (0.003)	Loss 2.2146 (2.2502)	Prec@1 39.062 (43.745)	Prec@5 75.000 (74.265)
Epoch: [31][2900/14090]	Time 0.748 (0.751)	Data 0.001 (0.003)	Loss 2.3058 (2.2500)	Prec@1 44.531 (43.752)	Prec@5 72.656 (74.267)
Epoch: [31][2910/14090]	Time 0.748 (0.751)	Data 0.001 (0.003)	Loss 2.3452 (2.2497)	Prec@1 40.625 (43.759)	Prec@5 76.562 (74.275)
Epoch: [31][2920/14090]	Time 0.749 (0.751)	Data 0.001 (0.003)	Loss 2.0144 (2.2496)	Prec@1 50.000 (43.763)	Prec@5 77.344 (74.277)
Epoch: [31][2930/14090]	Time 0.760 (0.751)	Data 0.001 (0.003)	Loss 2.0291 (2.2493)	Prec@1 44.531 (43.768)	Prec@5 78.125 (74.282)
Epoch: [31][2940/14090]	Time 0.765 (0.751)	Data 0.001 (0.003)	Loss 2.0407 (2.2492)	Prec@1 52.344 (43.769)	Prec@5 78.125 (74.284)
Epoch: [31][2950/14090]	Time 0.747 (0.751)	Data 0.003 (0.003)	Loss 2.3241 (2.2492)	Prec@1 38.281 (43.771)	Prec@5 72.656 (74.282)
Epoch: [31][2960/14090]	Time 0.751 (0.751)	Data 0.001 (0.003)	Loss 2.2608 (2.2492)	Prec@1 46.094 (43.767)	Prec@5 74.219 (74.279)
Epoch: [31][2970/14090]	Time 0.773 (0.751)	Data 0.001 (0.003)	Loss 2.1624 (2.2495)	Prec@1 41.406 (43.763)	Prec@5 79.688 (74.278)
Epoch: [31][2980/14090]	Time 0.781 (0.751)	Data 0.001 (0.003)	Loss 2.4328 (2.2492)	Prec@1 39.844 (43.770)	Prec@5 71.094 (74.283)
Epoch: [31][2990/14090]	Time 0.761 (0.751)	Data 0.001 (0.003)	Loss 2.2613 (2.2494)	Prec@1 40.625 (43.769)	Prec@5 78.906 (74.283)
Epoch: [31][3000/14090]	Time 0.735 (0.751)	Data 0.001 (0.003)	Loss 2.1639 (2.2495)	Prec@1 44.531 (43.768)	Prec@5 74.219 (74.281)
Epoch: [31][3010/14090]	Time 0.749 (0.751)	Data 0.001 (0.003)	Loss 2.2345 (2.2493)	Prec@1 40.625 (43.766)	Prec@5 71.875 (74.285)
Epoch: [31][3020/14090]	Time 0.741 (0.751)	Data 0.002 (0.003)	Loss 2.0971 (2.2493)	Prec@1 43.750 (43.763)	Prec@5 75.781 (74.287)
Epoch: [31][3030/14090]	Time 0.742 (0.751)	Data 0.001 (0.003)	Loss 2.5859 (2.2496)	Prec@1 37.500 (43.757)	Prec@5 72.656 (74.282)
Epoch: [31][3040/14090]	Time 0.728 (0.751)	Data 0.001 (0.003)	Loss 2.4056 (2.2495)	Prec@1 39.844 (43.756)	Prec@5 72.656 (74.285)
Epoch: [31][3050/14090]	Time 0.755 (0.751)	Data 0.001 (0.003)	Loss 2.1274 (2.2495)	Prec@1 46.094 (43.754)	Prec@5 75.000 (74.281)
Epoch: [31][3060/14090]	Time 0.719 (0.751)	Data 0.001 (0.003)	Loss 2.1705 (2.2496)	Prec@1 43.750 (43.754)	Prec@5 77.344 (74.278)
Epoch: [31][3070/14090]	Time 0.763 (0.751)	Data 0.001 (0.003)	Loss 2.2737 (2.2495)	Prec@1 46.875 (43.759)	Prec@5 71.875 (74.280)
Epoch: [31][3080/14090]	Time 0.749 (0.751)	Data 0.001 (0.003)	Loss 2.7322 (2.2496)	Prec@1 39.844 (43.757)	Prec@5 63.281 (74.278)
Epoch: [31][3090/14090]	Time 0.733 (0.751)	Data 0.002 (0.003)	Loss 2.6489 (2.2498)	Prec@1 34.375 (43.748)	Prec@5 69.531 (74.274)
Epoch: [31][3100/14090]	Time 0.742 (0.751)	Data 0.001 (0.003)	Loss 2.2788 (2.2497)	Prec@1 39.062 (43.745)	Prec@5 74.219 (74.277)
Epoch: [31][3110/14090]	Time 0.752 (0.751)	Data 0.001 (0.002)	Loss 2.4094 (2.2498)	Prec@1 41.406 (43.747)	Prec@5 73.438 (74.278)
Epoch: [31][3120/14090]	Time 0.738 (0.751)	Data 0.001 (0.002)	Loss 2.6226 (2.2499)	Prec@1 39.844 (43.746)	Prec@5 64.062 (74.276)
Epoch: [31][3130/14090]	Time 0.759 (0.751)	Data 0.001 (0.002)	Loss 2.3409 (2.2499)	Prec@1 41.406 (43.752)	Prec@5 76.562 (74.274)
Epoch: [31][3140/14090]	Time 0.735 (0.751)	Data 0.001 (0.002)	Loss 2.3082 (2.2500)	Prec@1 47.656 (43.755)	Prec@5 70.312 (74.270)
Epoch: [31][3150/14090]	Time 0.730 (0.751)	Data 0.001 (0.002)	Loss 2.1059 (2.2499)	Prec@1 50.781 (43.761)	Prec@5 78.906 (74.275)
Epoch: [31][3160/14090]	Time 0.732 (0.751)	Data 0.003 (0.002)	Loss 2.3321 (2.2498)	Prec@1 42.188 (43.759)	Prec@5 71.875 (74.275)
Epoch: [31][3170/14090]	Time 0.775 (0.751)	Data 0.001 (0.002)	Loss 2.5438 (2.2501)	Prec@1 42.969 (43.755)	Prec@5 70.312 (74.270)
Epoch: [31][3180/14090]	Time 0.763 (0.751)	Data 0.001 (0.002)	Loss 2.2437 (2.2499)	Prec@1 45.312 (43.755)	Prec@5 72.656 (74.272)
Epoch: [31][3190/14090]	Time 0.742 (0.751)	Data 0.002 (0.002)	Loss 2.2921 (2.2495)	Prec@1 40.625 (43.762)	Prec@5 77.344 (74.283)
Epoch: [31][3200/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 1.9786 (2.2497)	Prec@1 50.000 (43.757)	Prec@5 77.344 (74.284)
Epoch: [31][3210/14090]	Time 0.752 (0.751)	Data 0.001 (0.002)	Loss 2.1144 (2.2497)	Prec@1 42.188 (43.752)	Prec@5 72.656 (74.288)
Epoch: [31][3220/14090]	Time 0.737 (0.751)	Data 0.001 (0.002)	Loss 2.2177 (2.2495)	Prec@1 51.562 (43.761)	Prec@5 75.781 (74.289)
Epoch: [31][3230/14090]	Time 0.740 (0.751)	Data 0.002 (0.002)	Loss 2.3802 (2.2495)	Prec@1 42.188 (43.763)	Prec@5 72.656 (74.286)
Epoch: [31][3240/14090]	Time 0.744 (0.751)	Data 0.001 (0.002)	Loss 2.4982 (2.2493)	Prec@1 42.969 (43.764)	Prec@5 67.188 (74.291)
Epoch: [31][3250/14090]	Time 0.756 (0.751)	Data 0.001 (0.002)	Loss 2.6468 (2.2494)	Prec@1 38.281 (43.763)	Prec@5 65.625 (74.291)
Epoch: [31][3260/14090]	Time 0.752 (0.751)	Data 0.001 (0.002)	Loss 2.1668 (2.2493)	Prec@1 46.875 (43.767)	Prec@5 75.000 (74.292)
Epoch: [31][3270/14090]	Time 0.742 (0.751)	Data 0.001 (0.002)	Loss 2.6127 (2.2493)	Prec@1 33.594 (43.766)	Prec@5 71.875 (74.295)
Epoch: [31][3280/14090]	Time 0.731 (0.751)	Data 0.003 (0.002)	Loss 2.5086 (2.2493)	Prec@1 39.844 (43.766)	Prec@5 67.969 (74.293)
Epoch: [31][3290/14090]	Time 0.752 (0.751)	Data 0.001 (0.002)	Loss 2.0441 (2.2491)	Prec@1 48.438 (43.768)	Prec@5 76.562 (74.295)
Epoch: [31][3300/14090]	Time 0.747 (0.751)	Data 0.002 (0.002)	Loss 2.1341 (2.2494)	Prec@1 46.094 (43.760)	Prec@5 77.344 (74.292)
Epoch: [31][3310/14090]	Time 0.738 (0.751)	Data 0.001 (0.002)	Loss 2.3148 (2.2495)	Prec@1 48.438 (43.760)	Prec@5 72.656 (74.288)
Epoch: [31][3320/14090]	Time 0.743 (0.751)	Data 0.001 (0.002)	Loss 2.2053 (2.2496)	Prec@1 47.656 (43.758)	Prec@5 73.438 (74.284)
Epoch: [31][3330/14090]	Time 0.727 (0.751)	Data 0.001 (0.002)	Loss 2.2077 (2.2494)	Prec@1 41.406 (43.763)	Prec@5 78.125 (74.287)
Epoch: [31][3340/14090]	Time 0.781 (0.751)	Data 0.001 (0.002)	Loss 2.1551 (2.2495)	Prec@1 42.969 (43.761)	Prec@5 81.250 (74.285)
Epoch: [31][3350/14090]	Time 0.748 (0.751)	Data 0.001 (0.002)	Loss 2.3692 (2.2498)	Prec@1 39.844 (43.756)	Prec@5 69.531 (74.281)
Epoch: [31][3360/14090]	Time 0.733 (0.751)	Data 0.001 (0.002)	Loss 2.1871 (2.2497)	Prec@1 45.312 (43.753)	Prec@5 77.344 (74.282)
Epoch: [31][3370/14090]	Time 0.758 (0.751)	Data 0.003 (0.002)	Loss 2.2820 (2.2497)	Prec@1 47.656 (43.757)	Prec@5 71.875 (74.284)
Epoch: [31][3380/14090]	Time 0.756 (0.751)	Data 0.001 (0.002)	Loss 2.1872 (2.2497)	Prec@1 50.781 (43.756)	Prec@5 73.438 (74.284)
Epoch: [31][3390/14090]	Time 0.744 (0.751)	Data 0.001 (0.002)	Loss 2.2539 (2.2498)	Prec@1 46.094 (43.751)	Prec@5 72.656 (74.282)
Epoch: [31][3400/14090]	Time 0.752 (0.751)	Data 0.001 (0.002)	Loss 2.3901 (2.2501)	Prec@1 39.844 (43.746)	Prec@5 76.562 (74.277)
Epoch: [31][3410/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 2.2379 (2.2502)	Prec@1 48.438 (43.744)	Prec@5 75.781 (74.274)
Epoch: [31][3420/14090]	Time 0.735 (0.751)	Data 0.001 (0.002)	Loss 2.2393 (2.2503)	Prec@1 45.312 (43.743)	Prec@5 74.219 (74.273)
Epoch: [31][3430/14090]	Time 0.761 (0.751)	Data 0.001 (0.002)	Loss 2.3106 (2.2505)	Prec@1 40.625 (43.733)	Prec@5 71.094 (74.271)
Epoch: [31][3440/14090]	Time 0.753 (0.751)	Data 0.002 (0.002)	Loss 2.1778 (2.2503)	Prec@1 49.219 (43.742)	Prec@5 75.781 (74.278)
Epoch: [31][3450/14090]	Time 0.731 (0.751)	Data 0.001 (0.002)	Loss 2.3110 (2.2502)	Prec@1 39.844 (43.740)	Prec@5 69.531 (74.279)
Epoch: [31][3460/14090]	Time 0.734 (0.751)	Data 0.001 (0.002)	Loss 2.3549 (2.2502)	Prec@1 42.188 (43.748)	Prec@5 71.094 (74.277)
Epoch: [31][3470/14090]	Time 0.738 (0.751)	Data 0.001 (0.002)	Loss 2.3493 (2.2502)	Prec@1 45.312 (43.742)	Prec@5 71.875 (74.277)
Epoch: [31][3480/14090]	Time 0.734 (0.751)	Data 0.001 (0.002)	Loss 2.3689 (2.2502)	Prec@1 43.750 (43.744)	Prec@5 71.875 (74.277)
Epoch: [31][3490/14090]	Time 0.734 (0.751)	Data 0.001 (0.002)	Loss 2.2284 (2.2502)	Prec@1 40.625 (43.739)	Prec@5 77.344 (74.276)
Epoch: [31][3500/14090]	Time 0.726 (0.751)	Data 0.001 (0.002)	Loss 2.2923 (2.2501)	Prec@1 42.188 (43.741)	Prec@5 67.969 (74.277)
Epoch: [31][3510/14090]	Time 0.756 (0.751)	Data 0.002 (0.002)	Loss 2.3430 (2.2500)	Prec@1 42.969 (43.740)	Prec@5 73.438 (74.277)
Epoch: [31][3520/14090]	Time 0.746 (0.751)	Data 0.001 (0.002)	Loss 2.3653 (2.2500)	Prec@1 39.844 (43.741)	Prec@5 71.094 (74.277)
Epoch: [31][3530/14090]	Time 0.766 (0.751)	Data 0.001 (0.002)	Loss 2.3507 (2.2501)	Prec@1 46.094 (43.743)	Prec@5 72.656 (74.274)
Epoch: [31][3540/14090]	Time 0.740 (0.750)	Data 0.001 (0.002)	Loss 2.4503 (2.2503)	Prec@1 36.719 (43.743)	Prec@5 74.219 (74.270)
Epoch: [31][3550/14090]	Time 0.745 (0.751)	Data 0.001 (0.002)	Loss 2.3160 (2.2503)	Prec@1 36.719 (43.739)	Prec@5 72.656 (74.271)
Epoch: [31][3560/14090]	Time 0.780 (0.750)	Data 0.001 (0.002)	Loss 2.4244 (2.2504)	Prec@1 41.406 (43.736)	Prec@5 71.875 (74.267)
Epoch: [31][3570/14090]	Time 0.757 (0.750)	Data 0.001 (0.002)	Loss 2.1282 (2.2504)	Prec@1 39.062 (43.734)	Prec@5 78.125 (74.268)
Epoch: [31][3580/14090]	Time 0.730 (0.750)	Data 0.002 (0.002)	Loss 2.2892 (2.2505)	Prec@1 44.531 (43.729)	Prec@5 75.000 (74.268)
Epoch: [31][3590/14090]	Time 0.740 (0.750)	Data 0.001 (0.002)	Loss 2.0492 (2.2501)	Prec@1 51.562 (43.737)	Prec@5 77.344 (74.273)
Epoch: [31][3600/14090]	Time 0.759 (0.750)	Data 0.001 (0.002)	Loss 2.3676 (2.2503)	Prec@1 48.438 (43.737)	Prec@5 77.344 (74.273)
Epoch: [31][3610/14090]	Time 0.741 (0.750)	Data 0.001 (0.002)	Loss 2.4391 (2.2504)	Prec@1 44.531 (43.734)	Prec@5 72.656 (74.270)
Epoch: [31][3620/14090]	Time 0.758 (0.750)	Data 0.001 (0.002)	Loss 2.3776 (2.2501)	Prec@1 39.062 (43.738)	Prec@5 76.562 (74.278)
Epoch: [31][3630/14090]	Time 0.751 (0.750)	Data 0.001 (0.002)	Loss 2.7905 (2.2503)	Prec@1 35.156 (43.739)	Prec@5 69.531 (74.275)
Epoch: [31][3640/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 2.1815 (2.2504)	Prec@1 44.531 (43.733)	Prec@5 78.906 (74.273)
Epoch: [31][3650/14090]	Time 0.757 (0.750)	Data 0.002 (0.002)	Loss 2.2166 (2.2503)	Prec@1 45.312 (43.738)	Prec@5 72.656 (74.275)
Epoch: [31][3660/14090]	Time 0.725 (0.750)	Data 0.001 (0.002)	Loss 2.1929 (2.2500)	Prec@1 46.875 (43.741)	Prec@5 76.562 (74.282)
Epoch: [31][3670/14090]	Time 0.734 (0.750)	Data 0.001 (0.002)	Loss 2.1449 (2.2501)	Prec@1 46.094 (43.736)	Prec@5 77.344 (74.281)
Epoch: [31][3680/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 2.2991 (2.2503)	Prec@1 45.312 (43.734)	Prec@5 76.562 (74.274)
Epoch: [31][3690/14090]	Time 0.742 (0.750)	Data 0.001 (0.002)	Loss 2.4438 (2.2504)	Prec@1 43.750 (43.730)	Prec@5 70.312 (74.273)
Epoch: [31][3700/14090]	Time 0.739 (0.750)	Data 0.001 (0.002)	Loss 2.2004 (2.2503)	Prec@1 44.531 (43.729)	Prec@5 75.781 (74.274)
Epoch: [31][3710/14090]	Time 0.735 (0.750)	Data 0.001 (0.002)	Loss 2.1768 (2.2502)	Prec@1 46.875 (43.731)	Prec@5 74.219 (74.276)
Epoch: [31][3720/14090]	Time 0.772 (0.750)	Data 0.001 (0.002)	Loss 2.1841 (2.2501)	Prec@1 46.875 (43.732)	Prec@5 74.219 (74.276)
Epoch: [31][3730/14090]	Time 0.746 (0.750)	Data 0.001 (0.002)	Loss 2.2949 (2.2498)	Prec@1 47.656 (43.738)	Prec@5 72.656 (74.285)
Epoch: [31][3740/14090]	Time 0.723 (0.750)	Data 0.001 (0.002)	Loss 1.9739 (2.2494)	Prec@1 46.094 (43.749)	Prec@5 80.469 (74.291)
Epoch: [31][3750/14090]	Time 0.737 (0.750)	Data 0.001 (0.002)	Loss 2.1282 (2.2493)	Prec@1 49.219 (43.749)	Prec@5 76.562 (74.295)
Epoch: [31][3760/14090]	Time 0.734 (0.750)	Data 0.001 (0.002)	Loss 2.4153 (2.2492)	Prec@1 44.531 (43.749)	Prec@5 70.312 (74.297)
Epoch: [31][3770/14090]	Time 0.753 (0.750)	Data 0.001 (0.002)	Loss 2.3048 (2.2488)	Prec@1 39.062 (43.759)	Prec@5 73.438 (74.303)
Epoch: [31][3780/14090]	Time 0.786 (0.750)	Data 0.001 (0.002)	Loss 2.4375 (2.2491)	Prec@1 42.188 (43.755)	Prec@5 65.625 (74.295)
Epoch: [31][3790/14090]	Time 0.757 (0.750)	Data 0.002 (0.002)	Loss 2.5034 (2.2493)	Prec@1 37.500 (43.747)	Prec@5 70.312 (74.293)
Epoch: [31][3800/14090]	Time 0.766 (0.750)	Data 0.001 (0.002)	Loss 2.5346 (2.2493)	Prec@1 36.719 (43.750)	Prec@5 65.625 (74.293)
Epoch: [31][3810/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 2.5646 (2.2492)	Prec@1 35.938 (43.750)	Prec@5 71.094 (74.296)
Epoch: [31][3820/14090]	Time 0.726 (0.750)	Data 0.001 (0.002)	Loss 2.3012 (2.2490)	Prec@1 45.312 (43.754)	Prec@5 74.219 (74.297)
Epoch: [31][3830/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 2.5244 (2.2493)	Prec@1 35.938 (43.746)	Prec@5 72.656 (74.292)
Epoch: [31][3840/14090]	Time 0.747 (0.750)	Data 0.001 (0.002)	Loss 2.4392 (2.2491)	Prec@1 46.094 (43.748)	Prec@5 71.094 (74.294)
Epoch: [31][3850/14090]	Time 0.724 (0.750)	Data 0.001 (0.002)	Loss 2.1130 (2.2489)	Prec@1 44.531 (43.753)	Prec@5 75.781 (74.295)
Epoch: [31][3860/14090]	Time 0.733 (0.750)	Data 0.002 (0.002)	Loss 2.0360 (2.2490)	Prec@1 39.844 (43.749)	Prec@5 77.344 (74.295)
Epoch: [31][3870/14090]	Time 0.759 (0.750)	Data 0.001 (0.002)	Loss 2.3336 (2.2490)	Prec@1 45.312 (43.748)	Prec@5 72.656 (74.292)
Epoch: [31][3880/14090]	Time 0.763 (0.750)	Data 0.001 (0.002)	Loss 2.0599 (2.2490)	Prec@1 50.781 (43.748)	Prec@5 74.219 (74.291)
Epoch: [31][3890/14090]	Time 0.734 (0.750)	Data 0.001 (0.002)	Loss 2.4797 (2.2490)	Prec@1 42.969 (43.754)	Prec@5 70.312 (74.293)
Epoch: [31][3900/14090]	Time 0.727 (0.750)	Data 0.001 (0.002)	Loss 2.2906 (2.2491)	Prec@1 47.656 (43.754)	Prec@5 71.094 (74.290)
Epoch: [31][3910/14090]	Time 0.731 (0.750)	Data 0.001 (0.002)	Loss 2.0446 (2.2491)	Prec@1 47.656 (43.752)	Prec@5 75.781 (74.291)
Epoch: [31][3920/14090]	Time 0.764 (0.750)	Data 0.001 (0.002)	Loss 1.9754 (2.2489)	Prec@1 50.000 (43.756)	Prec@5 78.125 (74.295)
Epoch: [31][3930/14090]	Time 0.776 (0.750)	Data 0.002 (0.002)	Loss 2.2176 (2.2488)	Prec@1 44.531 (43.757)	Prec@5 74.219 (74.298)
Epoch: [31][3940/14090]	Time 0.751 (0.750)	Data 0.001 (0.002)	Loss 2.2769 (2.2489)	Prec@1 39.062 (43.753)	Prec@5 75.000 (74.293)
Epoch: [31][3950/14090]	Time 0.735 (0.750)	Data 0.001 (0.002)	Loss 2.0103 (2.2486)	Prec@1 50.000 (43.760)	Prec@5 78.125 (74.296)
Epoch: [31][3960/14090]	Time 0.762 (0.750)	Data 0.001 (0.002)	Loss 2.2549 (2.2486)	Prec@1 46.094 (43.763)	Prec@5 73.438 (74.297)
Epoch: [31][3970/14090]	Time 0.725 (0.750)	Data 0.001 (0.002)	Loss 2.1868 (2.2486)	Prec@1 42.969 (43.766)	Prec@5 75.000 (74.295)
Epoch: [31][3980/14090]	Time 0.746 (0.750)	Data 0.001 (0.002)	Loss 2.3728 (2.2485)	Prec@1 50.781 (43.771)	Prec@5 75.781 (74.297)
Epoch: [31][3990/14090]	Time 0.725 (0.750)	Data 0.001 (0.002)	Loss 2.0746 (2.2485)	Prec@1 40.625 (43.773)	Prec@5 77.344 (74.296)
Epoch: [31][4000/14090]	Time 0.766 (0.750)	Data 0.002 (0.002)	Loss 2.5838 (2.2486)	Prec@1 37.500 (43.774)	Prec@5 67.188 (74.295)
Epoch: [31][4010/14090]	Time 0.744 (0.750)	Data 0.001 (0.002)	Loss 2.1249 (2.2486)	Prec@1 42.969 (43.770)	Prec@5 78.125 (74.299)
Epoch: [31][4020/14090]	Time 0.775 (0.750)	Data 0.001 (0.002)	Loss 2.2393 (2.2485)	Prec@1 42.188 (43.774)	Prec@5 74.219 (74.303)
Epoch: [31][4030/14090]	Time 0.759 (0.750)	Data 0.001 (0.002)	Loss 2.4155 (2.2485)	Prec@1 37.500 (43.775)	Prec@5 71.875 (74.301)
Epoch: [31][4040/14090]	Time 0.754 (0.750)	Data 0.001 (0.002)	Loss 2.6588 (2.2486)	Prec@1 39.844 (43.772)	Prec@5 67.969 (74.299)
Epoch: [31][4050/14090]	Time 0.756 (0.750)	Data 0.001 (0.002)	Loss 2.4196 (2.2487)	Prec@1 41.406 (43.771)	Prec@5 69.531 (74.297)
Epoch: [31][4060/14090]	Time 0.759 (0.750)	Data 0.001 (0.002)	Loss 1.9052 (2.2485)	Prec@1 50.781 (43.777)	Prec@5 80.469 (74.300)
Epoch: [31][4070/14090]	Time 0.728 (0.750)	Data 0.002 (0.002)	Loss 2.4064 (2.2487)	Prec@1 42.188 (43.771)	Prec@5 70.312 (74.296)
Epoch: [31][4080/14090]	Time 0.733 (0.750)	Data 0.001 (0.002)	Loss 2.2995 (2.2484)	Prec@1 40.625 (43.776)	Prec@5 71.875 (74.304)
Epoch: [31][4090/14090]	Time 0.757 (0.750)	Data 0.001 (0.002)	Loss 2.3463 (2.2485)	Prec@1 43.750 (43.780)	Prec@5 73.438 (74.306)
Epoch: [31][4100/14090]	Time 0.741 (0.750)	Data 0.001 (0.002)	Loss 2.3197 (2.2485)	Prec@1 42.188 (43.780)	Prec@5 78.125 (74.305)
Epoch: [31][4110/14090]	Time 0.745 (0.750)	Data 0.001 (0.002)	Loss 2.1273 (2.2484)	Prec@1 49.219 (43.787)	Prec@5 75.781 (74.306)
Epoch: [31][4120/14090]	Time 0.748 (0.750)	Data 0.001 (0.002)	Loss 2.3865 (2.2484)	Prec@1 48.438 (43.790)	Prec@5 71.094 (74.307)
Epoch: [31][4130/14090]	Time 0.728 (0.750)	Data 0.001 (0.002)	Loss 2.1776 (2.2487)	Prec@1 39.844 (43.783)	Prec@5 75.781 (74.301)
Epoch: [31][4140/14090]	Time 0.757 (0.750)	Data 0.002 (0.002)	Loss 2.3101 (2.2484)	Prec@1 39.062 (43.787)	Prec@5 74.219 (74.311)
Epoch: [31][4150/14090]	Time 0.767 (0.750)	Data 0.001 (0.002)	Loss 2.1707 (2.2483)	Prec@1 39.844 (43.791)	Prec@5 75.000 (74.311)
Epoch: [31][4160/14090]	Time 0.788 (0.750)	Data 0.001 (0.002)	Loss 2.1595 (2.2481)	Prec@1 42.969 (43.794)	Prec@5 75.781 (74.317)
Epoch: [31][4170/14090]	Time 0.740 (0.750)	Data 0.001 (0.002)	Loss 2.0708 (2.2478)	Prec@1 49.219 (43.798)	Prec@5 74.219 (74.320)
Epoch: [31][4180/14090]	Time 0.764 (0.750)	Data 0.001 (0.002)	Loss 2.1507 (2.2477)	Prec@1 46.094 (43.802)	Prec@5 76.562 (74.322)
Epoch: [31][4190/14090]	Time 0.723 (0.750)	Data 0.001 (0.002)	Loss 2.3332 (2.2478)	Prec@1 46.094 (43.800)	Prec@5 71.094 (74.322)
Epoch: [31][4200/14090]	Time 0.728 (0.750)	Data 0.001 (0.002)	Loss 2.4850 (2.2481)	Prec@1 44.531 (43.796)	Prec@5 71.094 (74.319)
Epoch: [31][4210/14090]	Time 0.726 (0.750)	Data 0.001 (0.002)	Loss 2.4151 (2.2481)	Prec@1 42.188 (43.796)	Prec@5 70.312 (74.317)
Epoch: [31][4220/14090]	Time 0.726 (0.750)	Data 0.001 (0.002)	Loss 2.4525 (2.2483)	Prec@1 43.750 (43.793)	Prec@5 70.312 (74.318)
Epoch: [31][4230/14090]	Time 0.756 (0.750)	Data 0.001 (0.002)	Loss 2.2839 (2.2485)	Prec@1 42.969 (43.792)	Prec@5 71.094 (74.314)
Epoch: [31][4240/14090]	Time 0.776 (0.750)	Data 0.001 (0.002)	Loss 2.4639 (2.2486)	Prec@1 34.375 (43.789)	Prec@5 77.344 (74.309)
Epoch: [31][4250/14090]	Time 0.733 (0.750)	Data 0.001 (0.002)	Loss 2.2715 (2.2487)	Prec@1 41.406 (43.786)	Prec@5 70.312 (74.307)
Epoch: [31][4260/14090]	Time 0.748 (0.750)	Data 0.001 (0.002)	Loss 2.1213 (2.2484)	Prec@1 46.875 (43.791)	Prec@5 75.000 (74.311)
Epoch: [31][4270/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 2.5367 (2.2483)	Prec@1 35.156 (43.792)	Prec@5 71.094 (74.314)
Epoch: [31][4280/14090]	Time 0.743 (0.750)	Data 0.002 (0.002)	Loss 2.5567 (2.2483)	Prec@1 39.062 (43.787)	Prec@5 67.188 (74.314)
Epoch: [31][4290/14090]	Time 0.748 (0.750)	Data 0.001 (0.002)	Loss 2.2717 (2.2482)	Prec@1 46.875 (43.787)	Prec@5 71.875 (74.315)
Epoch: [31][4300/14090]	Time 0.756 (0.750)	Data 0.001 (0.002)	Loss 2.1978 (2.2481)	Prec@1 45.312 (43.788)	Prec@5 75.781 (74.316)
Epoch: [31][4310/14090]	Time 0.761 (0.750)	Data 0.001 (0.002)	Loss 2.1744 (2.2480)	Prec@1 42.969 (43.792)	Prec@5 75.781 (74.319)
Epoch: [31][4320/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 2.1071 (2.2481)	Prec@1 48.438 (43.790)	Prec@5 75.781 (74.315)
Epoch: [31][4330/14090]	Time 0.747 (0.750)	Data 0.001 (0.002)	Loss 2.4623 (2.2481)	Prec@1 41.406 (43.787)	Prec@5 69.531 (74.313)
Epoch: [31][4340/14090]	Time 0.797 (0.750)	Data 0.001 (0.002)	Loss 2.1898 (2.2482)	Prec@1 46.094 (43.784)	Prec@5 73.438 (74.311)
Epoch: [31][4350/14090]	Time 0.782 (0.750)	Data 0.002 (0.002)	Loss 2.2170 (2.2483)	Prec@1 44.531 (43.781)	Prec@5 75.000 (74.311)
Epoch: [31][4360/14090]	Time 0.762 (0.750)	Data 0.001 (0.002)	Loss 2.0789 (2.2483)	Prec@1 50.781 (43.784)	Prec@5 78.125 (74.312)
Epoch: [31][4370/14090]	Time 0.738 (0.750)	Data 0.001 (0.002)	Loss 2.4282 (2.2484)	Prec@1 36.719 (43.784)	Prec@5 74.219 (74.311)
Epoch: [31][4380/14090]	Time 0.746 (0.750)	Data 0.001 (0.002)	Loss 2.3097 (2.2483)	Prec@1 42.969 (43.787)	Prec@5 69.531 (74.310)
Epoch: [31][4390/14090]	Time 0.761 (0.750)	Data 0.001 (0.002)	Loss 2.1405 (2.2481)	Prec@1 44.531 (43.788)	Prec@5 79.688 (74.313)
Epoch: [31][4400/14090]	Time 0.754 (0.750)	Data 0.001 (0.002)	Loss 2.3123 (2.2481)	Prec@1 37.500 (43.791)	Prec@5 67.188 (74.313)
Epoch: [31][4410/14090]	Time 0.733 (0.750)	Data 0.001 (0.002)	Loss 2.2599 (2.2480)	Prec@1 43.750 (43.791)	Prec@5 71.875 (74.311)
Epoch: [31][4420/14090]	Time 0.747 (0.750)	Data 0.002 (0.002)	Loss 2.0420 (2.2480)	Prec@1 51.562 (43.796)	Prec@5 75.781 (74.309)
Epoch: [31][4430/14090]	Time 0.751 (0.750)	Data 0.001 (0.002)	Loss 2.3808 (2.2481)	Prec@1 41.406 (43.793)	Prec@5 70.312 (74.311)
Epoch: [31][4440/14090]	Time 0.747 (0.750)	Data 0.001 (0.002)	Loss 2.5725 (2.2483)	Prec@1 42.188 (43.790)	Prec@5 67.188 (74.309)
Epoch: [31][4450/14090]	Time 0.755 (0.750)	Data 0.001 (0.002)	Loss 2.4328 (2.2483)	Prec@1 40.625 (43.794)	Prec@5 74.219 (74.309)
Epoch: [31][4460/14090]	Time 0.733 (0.750)	Data 0.001 (0.002)	Loss 1.8903 (2.2480)	Prec@1 44.531 (43.799)	Prec@5 79.688 (74.312)
Epoch: [31][4470/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 2.0101 (2.2481)	Prec@1 43.750 (43.799)	Prec@5 78.906 (74.314)
Epoch: [31][4480/14090]	Time 0.725 (0.750)	Data 0.001 (0.002)	Loss 1.9910 (2.2480)	Prec@1 49.219 (43.799)	Prec@5 79.688 (74.317)
Epoch: [31][4490/14090]	Time 0.737 (0.750)	Data 0.002 (0.002)	Loss 1.9714 (2.2479)	Prec@1 53.125 (43.801)	Prec@5 78.906 (74.317)
Epoch: [31][4500/14090]	Time 0.756 (0.750)	Data 0.001 (0.002)	Loss 2.2295 (2.2481)	Prec@1 43.750 (43.796)	Prec@5 72.656 (74.314)
Epoch: [31][4510/14090]	Time 0.772 (0.750)	Data 0.001 (0.002)	Loss 2.3273 (2.2480)	Prec@1 39.844 (43.797)	Prec@5 75.781 (74.315)
Epoch: [31][4520/14090]	Time 0.751 (0.750)	Data 0.001 (0.002)	Loss 2.2206 (2.2481)	Prec@1 47.656 (43.800)	Prec@5 75.000 (74.314)
Epoch: [31][4530/14090]	Time 0.734 (0.750)	Data 0.001 (0.002)	Loss 2.3873 (2.2482)	Prec@1 42.969 (43.798)	Prec@5 72.656 (74.314)
Epoch: [31][4540/14090]	Time 0.735 (0.750)	Data 0.001 (0.002)	Loss 2.2835 (2.2482)	Prec@1 38.281 (43.795)	Prec@5 74.219 (74.318)
Epoch: [31][4550/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 2.1293 (2.2482)	Prec@1 39.062 (43.792)	Prec@5 76.562 (74.319)
Epoch: [31][4560/14090]	Time 0.728 (0.750)	Data 0.002 (0.002)	Loss 2.4447 (2.2480)	Prec@1 38.281 (43.797)	Prec@5 71.875 (74.323)
Epoch: [31][4570/14090]	Time 0.763 (0.750)	Data 0.001 (0.002)	Loss 2.1711 (2.2480)	Prec@1 44.531 (43.792)	Prec@5 75.781 (74.323)
Epoch: [31][4580/14090]	Time 0.745 (0.750)	Data 0.001 (0.002)	Loss 2.3404 (2.2479)	Prec@1 41.406 (43.797)	Prec@5 71.875 (74.325)
Epoch: [31][4590/14090]	Time 0.728 (0.750)	Data 0.001 (0.002)	Loss 2.1426 (2.2479)	Prec@1 42.969 (43.796)	Prec@5 78.906 (74.329)
Epoch: [31][4600/14090]	Time 0.756 (0.750)	Data 0.001 (0.002)	Loss 2.2863 (2.2478)	Prec@1 46.875 (43.797)	Prec@5 76.562 (74.330)
Epoch: [31][4610/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 2.2286 (2.2479)	Prec@1 49.219 (43.796)	Prec@5 75.000 (74.329)
Epoch: [31][4620/14090]	Time 0.733 (0.750)	Data 0.001 (0.002)	Loss 2.1232 (2.2480)	Prec@1 48.438 (43.795)	Prec@5 74.219 (74.325)
Epoch: [31][4630/14090]	Time 0.769 (0.750)	Data 0.002 (0.002)	Loss 2.1472 (2.2480)	Prec@1 41.406 (43.795)	Prec@5 81.250 (74.324)
Epoch: [31][4640/14090]	Time 0.756 (0.750)	Data 0.001 (0.002)	Loss 2.3851 (2.2481)	Prec@1 40.625 (43.794)	Prec@5 71.094 (74.323)
Epoch: [31][4650/14090]	Time 0.730 (0.750)	Data 0.001 (0.002)	Loss 2.3306 (2.2481)	Prec@1 39.844 (43.793)	Prec@5 73.438 (74.324)
Epoch: [31][4660/14090]	Time 0.769 (0.750)	Data 0.001 (0.002)	Loss 2.3343 (2.2482)	Prec@1 46.094 (43.793)	Prec@5 70.312 (74.321)
Epoch: [31][4670/14090]	Time 0.729 (0.750)	Data 0.001 (0.002)	Loss 2.1993 (2.2484)	Prec@1 44.531 (43.791)	Prec@5 75.000 (74.316)
Epoch: [31][4680/14090]	Time 0.732 (0.750)	Data 0.001 (0.002)	Loss 2.5558 (2.2485)	Prec@1 36.719 (43.786)	Prec@5 63.281 (74.314)
Epoch: [31][4690/14090]	Time 0.730 (0.750)	Data 0.001 (0.002)	Loss 2.2177 (2.2486)	Prec@1 42.969 (43.782)	Prec@5 73.438 (74.315)
Epoch: [31][4700/14090]	Time 0.762 (0.750)	Data 0.002 (0.002)	Loss 2.0312 (2.2484)	Prec@1 47.656 (43.788)	Prec@5 79.688 (74.319)
Epoch: [31][4710/14090]	Time 0.766 (0.750)	Data 0.001 (0.002)	Loss 2.0267 (2.2482)	Prec@1 48.438 (43.791)	Prec@5 76.562 (74.320)
Epoch: [31][4720/14090]	Time 0.793 (0.750)	Data 0.001 (0.002)	Loss 2.3836 (2.2483)	Prec@1 39.844 (43.790)	Prec@5 71.094 (74.317)
Epoch: [31][4730/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 2.2591 (2.2485)	Prec@1 42.969 (43.788)	Prec@5 76.562 (74.316)
Epoch: [31][4740/14090]	Time 0.740 (0.750)	Data 0.002 (0.002)	Loss 2.2820 (2.2483)	Prec@1 42.969 (43.794)	Prec@5 76.562 (74.323)
Epoch: [31][4750/14090]	Time 0.774 (0.750)	Data 0.001 (0.002)	Loss 2.6484 (2.2484)	Prec@1 38.281 (43.795)	Prec@5 68.750 (74.320)
Epoch: [31][4760/14090]	Time 0.777 (0.750)	Data 0.001 (0.002)	Loss 2.1345 (2.2483)	Prec@1 42.969 (43.794)	Prec@5 75.000 (74.321)
Epoch: [31][4770/14090]	Time 0.724 (0.750)	Data 0.002 (0.002)	Loss 2.1108 (2.2482)	Prec@1 46.094 (43.797)	Prec@5 75.000 (74.324)
Epoch: [31][4780/14090]	Time 0.736 (0.750)	Data 0.001 (0.002)	Loss 2.3207 (2.2484)	Prec@1 43.750 (43.792)	Prec@5 73.438 (74.319)
Epoch: [31][4790/14090]	Time 0.741 (0.750)	Data 0.001 (0.002)	Loss 2.2945 (2.2484)	Prec@1 39.062 (43.794)	Prec@5 72.656 (74.320)
Epoch: [31][4800/14090]	Time 0.769 (0.750)	Data 0.001 (0.002)	Loss 2.2045 (2.2485)	Prec@1 44.531 (43.794)	Prec@5 75.000 (74.317)
Epoch: [31][4810/14090]	Time 0.723 (0.750)	Data 0.001 (0.002)	Loss 2.2802 (2.2486)	Prec@1 44.531 (43.795)	Prec@5 75.000 (74.317)
Epoch: [31][4820/14090]	Time 0.755 (0.750)	Data 0.001 (0.002)	Loss 2.2044 (2.2487)	Prec@1 47.656 (43.793)	Prec@5 76.562 (74.315)
Epoch: [31][4830/14090]	Time 0.744 (0.750)	Data 0.001 (0.002)	Loss 1.9405 (2.2488)	Prec@1 49.219 (43.792)	Prec@5 77.344 (74.313)
Epoch: [31][4840/14090]	Time 0.732 (0.750)	Data 0.002 (0.002)	Loss 2.3127 (2.2488)	Prec@1 41.406 (43.791)	Prec@5 73.438 (74.313)
Epoch: [31][4850/14090]	Time 0.743 (0.750)	Data 0.001 (0.002)	Loss 2.3147 (2.2488)	Prec@1 38.281 (43.788)	Prec@5 78.125 (74.311)
Epoch: [31][4860/14090]	Time 0.742 (0.750)	Data 0.001 (0.002)	Loss 1.9521 (2.2488)	Prec@1 57.812 (43.792)	Prec@5 75.781 (74.308)
Epoch: [31][4870/14090]	Time 0.756 (0.750)	Data 0.001 (0.002)	Loss 2.5856 (2.2488)	Prec@1 38.281 (43.789)	Prec@5 68.750 (74.306)
Epoch: [31][4880/14090]	Time 0.761 (0.750)	Data 0.001 (0.002)	Loss 2.3519 (2.2489)	Prec@1 47.656 (43.791)	Prec@5 75.000 (74.307)
Epoch: [31][4890/14090]	Time 0.740 (0.750)	Data 0.001 (0.002)	Loss 2.3694 (2.2490)	Prec@1 42.188 (43.786)	Prec@5 73.438 (74.304)
Epoch: [31][4900/14090]	Time 0.753 (0.750)	Data 0.001 (0.002)	Loss 1.8351 (2.2489)	Prec@1 50.000 (43.789)	Prec@5 83.594 (74.306)
Epoch: [31][4910/14090]	Time 0.744 (0.750)	Data 0.002 (0.002)	Loss 2.2366 (2.2489)	Prec@1 37.500 (43.786)	Prec@5 73.438 (74.303)
Epoch: [31][4920/14090]	Time 0.747 (0.750)	Data 0.003 (0.002)	Loss 1.9840 (2.2488)	Prec@1 42.969 (43.787)	Prec@5 78.125 (74.306)
Epoch: [31][4930/14090]	Time 0.768 (0.750)	Data 0.001 (0.002)	Loss 2.3253 (2.2489)	Prec@1 39.844 (43.782)	Prec@5 70.312 (74.306)
Epoch: [31][4940/14090]	Time 0.745 (0.750)	Data 0.001 (0.002)	Loss 2.4571 (2.2490)	Prec@1 46.875 (43.782)	Prec@5 69.531 (74.304)
Epoch: [31][4950/14090]	Time 0.743 (0.750)	Data 0.001 (0.002)	Loss 2.5531 (2.2491)	Prec@1 42.969 (43.777)	Prec@5 69.531 (74.302)
Epoch: [31][4960/14090]	Time 0.739 (0.750)	Data 0.001 (0.002)	Loss 2.1907 (2.2492)	Prec@1 39.844 (43.774)	Prec@5 71.875 (74.303)
Epoch: [31][4970/14090]	Time 0.726 (0.750)	Data 0.001 (0.002)	Loss 2.2190 (2.2493)	Prec@1 46.094 (43.774)	Prec@5 76.562 (74.303)
Epoch: [31][4980/14090]	Time 0.765 (0.750)	Data 0.003 (0.002)	Loss 2.1106 (2.2492)	Prec@1 47.656 (43.774)	Prec@5 78.125 (74.303)
Epoch: [31][4990/14090]	Time 0.735 (0.750)	Data 0.001 (0.002)	Loss 2.2691 (2.2492)	Prec@1 39.844 (43.776)	Prec@5 73.438 (74.304)
Epoch: [31][5000/14090]	Time 0.755 (0.750)	Data 0.001 (0.002)	Loss 2.2232 (2.2492)	Prec@1 48.438 (43.777)	Prec@5 73.438 (74.304)
Epoch: [31][5010/14090]	Time 0.755 (0.750)	Data 0.001 (0.002)	Loss 2.3491 (2.2491)	Prec@1 44.531 (43.780)	Prec@5 69.531 (74.305)
Epoch: [31][5020/14090]	Time 0.746 (0.750)	Data 0.001 (0.002)	Loss 1.6866 (2.2489)	Prec@1 50.781 (43.784)	Prec@5 85.156 (74.306)
Epoch: [31][5030/14090]	Time 0.764 (0.750)	Data 0.001 (0.002)	Loss 2.4849 (2.2489)	Prec@1 37.500 (43.787)	Prec@5 71.094 (74.305)
Epoch: [31][5040/14090]	Time 0.727 (0.750)	Data 0.001 (0.002)	Loss 2.3783 (2.2489)	Prec@1 45.312 (43.786)	Prec@5 68.750 (74.305)
Epoch: [31][5050/14090]	Time 0.755 (0.750)	Data 0.002 (0.002)	Loss 2.5074 (2.2489)	Prec@1 32.812 (43.780)	Prec@5 67.188 (74.305)
Epoch: [31][5060/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 2.1383 (2.2488)	Prec@1 47.656 (43.781)	Prec@5 77.344 (74.309)
Epoch: [31][5070/14090]	Time 0.779 (0.750)	Data 0.001 (0.002)	Loss 2.6013 (2.2489)	Prec@1 42.188 (43.783)	Prec@5 63.281 (74.309)
Epoch: [31][5080/14090]	Time 0.757 (0.750)	Data 0.001 (0.002)	Loss 2.3277 (2.2486)	Prec@1 41.406 (43.786)	Prec@5 75.000 (74.314)
Epoch: [31][5090/14090]	Time 0.732 (0.750)	Data 0.001 (0.002)	Loss 2.0664 (2.2486)	Prec@1 46.094 (43.784)	Prec@5 76.562 (74.315)
Epoch: [31][5100/14090]	Time 0.737 (0.750)	Data 0.001 (0.002)	Loss 2.3203 (2.2487)	Prec@1 41.406 (43.783)	Prec@5 73.438 (74.314)
Epoch: [31][5110/14090]	Time 0.779 (0.750)	Data 0.001 (0.002)	Loss 2.4023 (2.2487)	Prec@1 40.625 (43.784)	Prec@5 70.312 (74.311)
Epoch: [31][5120/14090]	Time 0.728 (0.750)	Data 0.002 (0.002)	Loss 2.3159 (2.2488)	Prec@1 38.281 (43.780)	Prec@5 75.000 (74.311)
Epoch: [31][5130/14090]	Time 0.755 (0.750)	Data 0.001 (0.002)	Loss 2.2950 (2.2486)	Prec@1 40.625 (43.782)	Prec@5 78.906 (74.317)
Epoch: [31][5140/14090]	Time 0.762 (0.750)	Data 0.001 (0.002)	Loss 2.1628 (2.2485)	Prec@1 43.750 (43.783)	Prec@5 77.344 (74.320)
Epoch: [31][5150/14090]	Time 0.744 (0.750)	Data 0.001 (0.002)	Loss 2.4094 (2.2483)	Prec@1 38.281 (43.786)	Prec@5 76.562 (74.325)
Epoch: [31][5160/14090]	Time 0.753 (0.750)	Data 0.001 (0.002)	Loss 2.0805 (2.2482)	Prec@1 50.781 (43.789)	Prec@5 76.562 (74.327)
Epoch: [31][5170/14090]	Time 0.732 (0.750)	Data 0.001 (0.002)	Loss 2.4618 (2.2481)	Prec@1 39.062 (43.789)	Prec@5 71.094 (74.328)
Epoch: [31][5180/14090]	Time 0.776 (0.750)	Data 0.001 (0.002)	Loss 2.1255 (2.2481)	Prec@1 49.219 (43.786)	Prec@5 82.812 (74.329)
Epoch: [31][5190/14090]	Time 0.749 (0.750)	Data 0.003 (0.002)	Loss 2.2034 (2.2481)	Prec@1 44.531 (43.784)	Prec@5 77.344 (74.332)
Epoch: [31][5200/14090]	Time 0.763 (0.750)	Data 0.001 (0.002)	Loss 2.2434 (2.2482)	Prec@1 45.312 (43.782)	Prec@5 76.562 (74.332)
Epoch: [31][5210/14090]	Time 0.724 (0.750)	Data 0.001 (0.002)	Loss 2.1801 (2.2482)	Prec@1 53.125 (43.784)	Prec@5 76.562 (74.332)
Epoch: [31][5220/14090]	Time 0.746 (0.750)	Data 0.001 (0.002)	Loss 2.0974 (2.2483)	Prec@1 44.531 (43.785)	Prec@5 78.125 (74.332)
Epoch: [31][5230/14090]	Time 0.770 (0.750)	Data 0.001 (0.002)	Loss 2.3121 (2.2482)	Prec@1 45.312 (43.787)	Prec@5 74.219 (74.333)
Epoch: [31][5240/14090]	Time 0.754 (0.750)	Data 0.001 (0.002)	Loss 2.0439 (2.2482)	Prec@1 50.000 (43.788)	Prec@5 79.688 (74.334)
Epoch: [31][5250/14090]	Time 0.740 (0.750)	Data 0.001 (0.002)	Loss 2.1990 (2.2481)	Prec@1 46.875 (43.788)	Prec@5 76.562 (74.339)
Epoch: [31][5260/14090]	Time 0.749 (0.750)	Data 0.002 (0.002)	Loss 2.1800 (2.2482)	Prec@1 50.000 (43.788)	Prec@5 73.438 (74.339)
Epoch: [31][5270/14090]	Time 0.735 (0.750)	Data 0.001 (0.002)	Loss 2.4797 (2.2480)	Prec@1 38.281 (43.792)	Prec@5 73.438 (74.342)
Epoch: [31][5280/14090]	Time 0.747 (0.750)	Data 0.001 (0.002)	Loss 2.1629 (2.2479)	Prec@1 40.625 (43.794)	Prec@5 75.000 (74.345)
Epoch: [31][5290/14090]	Time 0.739 (0.750)	Data 0.001 (0.002)	Loss 2.4432 (2.2478)	Prec@1 46.094 (43.798)	Prec@5 70.312 (74.348)
Epoch: [31][5300/14090]	Time 0.767 (0.750)	Data 0.001 (0.002)	Loss 2.2395 (2.2478)	Prec@1 46.094 (43.798)	Prec@5 73.438 (74.346)
Epoch: [31][5310/14090]	Time 0.744 (0.750)	Data 0.002 (0.002)	Loss 2.2192 (2.2477)	Prec@1 44.531 (43.802)	Prec@5 75.781 (74.350)
Epoch: [31][5320/14090]	Time 0.734 (0.750)	Data 0.001 (0.002)	Loss 2.4273 (2.2476)	Prec@1 40.625 (43.804)	Prec@5 69.531 (74.351)
Epoch: [31][5330/14090]	Time 0.737 (0.750)	Data 0.001 (0.002)	Loss 2.1637 (2.2476)	Prec@1 42.969 (43.805)	Prec@5 71.875 (74.349)
Epoch: [31][5340/14090]	Time 0.740 (0.750)	Data 0.001 (0.002)	Loss 2.1387 (2.2476)	Prec@1 36.719 (43.804)	Prec@5 79.688 (74.350)
Epoch: [31][5350/14090]	Time 0.744 (0.750)	Data 0.001 (0.002)	Loss 2.2874 (2.2477)	Prec@1 42.969 (43.800)	Prec@5 75.000 (74.351)
Epoch: [31][5360/14090]	Time 0.767 (0.750)	Data 0.001 (0.002)	Loss 2.2423 (2.2478)	Prec@1 46.875 (43.800)	Prec@5 74.219 (74.347)
Epoch: [31][5370/14090]	Time 0.735 (0.750)	Data 0.001 (0.002)	Loss 2.4827 (2.2478)	Prec@1 42.969 (43.801)	Prec@5 67.188 (74.346)
Epoch: [31][5380/14090]	Time 0.773 (0.750)	Data 0.001 (0.002)	Loss 2.1365 (2.2476)	Prec@1 41.406 (43.801)	Prec@5 76.562 (74.347)
Epoch: [31][5390/14090]	Time 0.740 (0.750)	Data 0.001 (0.002)	Loss 2.2560 (2.2477)	Prec@1 42.188 (43.800)	Prec@5 71.094 (74.346)
Epoch: [31][5400/14090]	Time 0.734 (0.750)	Data 0.002 (0.002)	Loss 2.1581 (2.2476)	Prec@1 42.188 (43.802)	Prec@5 76.562 (74.347)
Epoch: [31][5410/14090]	Time 0.730 (0.750)	Data 0.001 (0.002)	Loss 2.3973 (2.2476)	Prec@1 44.531 (43.803)	Prec@5 78.125 (74.348)
Epoch: [31][5420/14090]	Time 0.744 (0.750)	Data 0.001 (0.002)	Loss 2.5092 (2.2477)	Prec@1 35.938 (43.802)	Prec@5 68.750 (74.344)
Epoch: [31][5430/14090]	Time 0.730 (0.750)	Data 0.001 (0.002)	Loss 2.2875 (2.2477)	Prec@1 39.844 (43.801)	Prec@5 75.781 (74.344)
Epoch: [31][5440/14090]	Time 0.754 (0.750)	Data 0.001 (0.002)	Loss 2.1645 (2.2476)	Prec@1 46.875 (43.803)	Prec@5 75.000 (74.345)
Epoch: [31][5450/14090]	Time 0.762 (0.750)	Data 0.001 (0.002)	Loss 2.3300 (2.2476)	Prec@1 46.094 (43.802)	Prec@5 68.750 (74.343)
Epoch: [31][5460/14090]	Time 0.753 (0.750)	Data 0.001 (0.002)	Loss 2.2299 (2.2477)	Prec@1 44.531 (43.802)	Prec@5 74.219 (74.342)
Epoch: [31][5470/14090]	Time 0.751 (0.750)	Data 0.002 (0.002)	Loss 2.3275 (2.2476)	Prec@1 38.281 (43.800)	Prec@5 72.656 (74.345)
Epoch: [31][5480/14090]	Time 0.730 (0.750)	Data 0.001 (0.002)	Loss 2.0921 (2.2476)	Prec@1 46.094 (43.798)	Prec@5 77.344 (74.345)
Epoch: [31][5490/14090]	Time 0.743 (0.750)	Data 0.001 (0.002)	Loss 2.0279 (2.2476)	Prec@1 49.219 (43.797)	Prec@5 76.562 (74.345)
Epoch: [31][5500/14090]	Time 0.733 (0.750)	Data 0.001 (0.002)	Loss 2.0107 (2.2475)	Prec@1 46.875 (43.797)	Prec@5 78.906 (74.348)
Epoch: [31][5510/14090]	Time 0.753 (0.750)	Data 0.001 (0.002)	Loss 2.2337 (2.2474)	Prec@1 43.750 (43.797)	Prec@5 75.781 (74.347)
Epoch: [31][5520/14090]	Time 0.723 (0.750)	Data 0.001 (0.002)	Loss 2.1831 (2.2475)	Prec@1 45.312 (43.798)	Prec@5 78.125 (74.346)
Epoch: [31][5530/14090]	Time 0.738 (0.750)	Data 0.001 (0.002)	Loss 2.0657 (2.2473)	Prec@1 50.000 (43.802)	Prec@5 79.688 (74.348)
Epoch: [31][5540/14090]	Time 0.750 (0.750)	Data 0.002 (0.002)	Loss 2.2803 (2.2473)	Prec@1 42.969 (43.801)	Prec@5 75.000 (74.348)
Epoch: [31][5550/14090]	Time 0.729 (0.750)	Data 0.001 (0.002)	Loss 2.3562 (2.2473)	Prec@1 42.188 (43.801)	Prec@5 71.094 (74.349)
Epoch: [31][5560/14090]	Time 0.720 (0.750)	Data 0.001 (0.002)	Loss 2.2465 (2.2473)	Prec@1 42.969 (43.801)	Prec@5 76.562 (74.351)
Epoch: [31][5570/14090]	Time 0.765 (0.750)	Data 0.001 (0.002)	Loss 1.9012 (2.2472)	Prec@1 45.312 (43.801)	Prec@5 80.469 (74.353)
Epoch: [31][5580/14090]	Time 0.768 (0.750)	Data 0.001 (0.002)	Loss 2.2250 (2.2472)	Prec@1 45.312 (43.800)	Prec@5 71.094 (74.350)
Epoch: [31][5590/14090]	Time 0.733 (0.750)	Data 0.001 (0.002)	Loss 2.1626 (2.2472)	Prec@1 45.312 (43.800)	Prec@5 75.781 (74.349)
Epoch: [31][5600/14090]	Time 0.778 (0.750)	Data 0.001 (0.002)	Loss 2.2429 (2.2472)	Prec@1 43.750 (43.802)	Prec@5 77.344 (74.352)
Epoch: [31][5610/14090]	Time 0.754 (0.750)	Data 0.002 (0.002)	Loss 2.0931 (2.2471)	Prec@1 46.875 (43.802)	Prec@5 78.906 (74.352)
Epoch: [31][5620/14090]	Time 0.742 (0.750)	Data 0.001 (0.002)	Loss 2.2366 (2.2471)	Prec@1 42.188 (43.802)	Prec@5 78.125 (74.352)
Epoch: [31][5630/14090]	Time 0.746 (0.750)	Data 0.001 (0.002)	Loss 2.0712 (2.2472)	Prec@1 48.438 (43.803)	Prec@5 78.125 (74.349)
Epoch: [31][5640/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 1.9348 (2.2472)	Prec@1 52.344 (43.808)	Prec@5 81.250 (74.348)
Epoch: [31][5650/14090]	Time 0.735 (0.750)	Data 0.001 (0.002)	Loss 2.1576 (2.2471)	Prec@1 42.969 (43.807)	Prec@5 76.562 (74.348)
Epoch: [31][5660/14090]	Time 0.756 (0.750)	Data 0.001 (0.002)	Loss 2.0501 (2.2471)	Prec@1 46.875 (43.810)	Prec@5 78.125 (74.350)
Epoch: [31][5670/14090]	Time 0.743 (0.750)	Data 0.001 (0.002)	Loss 2.5239 (2.2471)	Prec@1 40.625 (43.810)	Prec@5 69.531 (74.349)
Epoch: [31][5680/14090]	Time 0.740 (0.750)	Data 0.002 (0.002)	Loss 2.2175 (2.2471)	Prec@1 38.281 (43.811)	Prec@5 75.781 (74.350)
Epoch: [31][5690/14090]	Time 0.767 (0.750)	Data 0.001 (0.002)	Loss 2.0894 (2.2471)	Prec@1 44.531 (43.811)	Prec@5 77.344 (74.351)
Epoch: [31][5700/14090]	Time 0.737 (0.750)	Data 0.002 (0.002)	Loss 2.2331 (2.2472)	Prec@1 48.438 (43.812)	Prec@5 75.000 (74.349)
Epoch: [31][5710/14090]	Time 0.730 (0.750)	Data 0.001 (0.002)	Loss 2.2803 (2.2472)	Prec@1 43.750 (43.814)	Prec@5 71.875 (74.350)
Epoch: [31][5720/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 2.4332 (2.2472)	Prec@1 39.844 (43.813)	Prec@5 70.312 (74.349)
Epoch: [31][5730/14090]	Time 0.740 (0.750)	Data 0.001 (0.002)	Loss 2.1077 (2.2471)	Prec@1 48.438 (43.816)	Prec@5 75.000 (74.353)
Epoch: [31][5740/14090]	Time 0.728 (0.750)	Data 0.001 (0.002)	Loss 2.1801 (2.2471)	Prec@1 45.312 (43.818)	Prec@5 75.781 (74.354)
Epoch: [31][5750/14090]	Time 0.782 (0.750)	Data 0.002 (0.002)	Loss 2.2495 (2.2471)	Prec@1 41.406 (43.814)	Prec@5 75.781 (74.357)
Epoch: [31][5760/14090]	Time 0.768 (0.750)	Data 0.001 (0.002)	Loss 2.1626 (2.2471)	Prec@1 43.750 (43.810)	Prec@5 75.781 (74.357)
Epoch: [31][5770/14090]	Time 0.729 (0.750)	Data 0.001 (0.002)	Loss 2.1360 (2.2470)	Prec@1 42.188 (43.812)	Prec@5 80.469 (74.360)
Epoch: [31][5780/14090]	Time 0.760 (0.750)	Data 0.001 (0.002)	Loss 2.4608 (2.2472)	Prec@1 41.406 (43.809)	Prec@5 67.188 (74.357)
Epoch: [31][5790/14090]	Time 0.778 (0.750)	Data 0.001 (0.002)	Loss 2.0121 (2.2471)	Prec@1 50.781 (43.812)	Prec@5 75.000 (74.357)
Epoch: [31][5800/14090]	Time 0.757 (0.750)	Data 0.001 (0.002)	Loss 2.3679 (2.2471)	Prec@1 41.406 (43.812)	Prec@5 69.531 (74.356)
Epoch: [31][5810/14090]	Time 0.743 (0.750)	Data 0.001 (0.002)	Loss 2.3628 (2.2472)	Prec@1 42.969 (43.810)	Prec@5 68.750 (74.355)
Epoch: [31][5820/14090]	Time 0.777 (0.750)	Data 0.002 (0.002)	Loss 2.2974 (2.2471)	Prec@1 40.625 (43.812)	Prec@5 76.562 (74.358)
Epoch: [31][5830/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 2.4618 (2.2470)	Prec@1 32.031 (43.813)	Prec@5 75.000 (74.360)
Epoch: [31][5840/14090]	Time 0.744 (0.750)	Data 0.001 (0.002)	Loss 2.4307 (2.2471)	Prec@1 35.938 (43.812)	Prec@5 71.875 (74.360)
Epoch: [31][5850/14090]	Time 0.733 (0.750)	Data 0.001 (0.002)	Loss 2.2868 (2.2472)	Prec@1 46.875 (43.811)	Prec@5 71.875 (74.358)
Epoch: [31][5860/14090]	Time 0.747 (0.750)	Data 0.001 (0.002)	Loss 2.2663 (2.2472)	Prec@1 39.844 (43.809)	Prec@5 74.219 (74.360)
Epoch: [31][5870/14090]	Time 0.753 (0.750)	Data 0.001 (0.002)	Loss 2.4187 (2.2472)	Prec@1 45.312 (43.806)	Prec@5 71.094 (74.360)
Epoch: [31][5880/14090]	Time 0.734 (0.750)	Data 0.001 (0.002)	Loss 2.3252 (2.2472)	Prec@1 41.406 (43.806)	Prec@5 68.750 (74.360)
Epoch: [31][5890/14090]	Time 0.779 (0.750)	Data 0.002 (0.002)	Loss 1.8664 (2.2472)	Prec@1 51.562 (43.805)	Prec@5 78.125 (74.360)
Epoch: [31][5900/14090]	Time 0.751 (0.750)	Data 0.001 (0.002)	Loss 2.4365 (2.2472)	Prec@1 43.750 (43.803)	Prec@5 67.969 (74.358)
Epoch: [31][5910/14090]	Time 0.757 (0.750)	Data 0.001 (0.002)	Loss 2.2306 (2.2472)	Prec@1 46.094 (43.804)	Prec@5 76.562 (74.359)
Epoch: [31][5920/14090]	Time 0.772 (0.750)	Data 0.001 (0.002)	Loss 2.1787 (2.2472)	Prec@1 49.219 (43.805)	Prec@5 75.000 (74.358)
Epoch: [31][5930/14090]	Time 0.741 (0.750)	Data 0.001 (0.002)	Loss 2.1194 (2.2473)	Prec@1 42.969 (43.803)	Prec@5 80.469 (74.355)
Epoch: [31][5940/14090]	Time 0.756 (0.750)	Data 0.001 (0.002)	Loss 2.1983 (2.2473)	Prec@1 47.656 (43.802)	Prec@5 75.781 (74.356)
Epoch: [31][5950/14090]	Time 0.760 (0.750)	Data 0.001 (0.002)	Loss 2.4393 (2.2474)	Prec@1 38.281 (43.802)	Prec@5 69.531 (74.354)
Epoch: [31][5960/14090]	Time 0.766 (0.750)	Data 0.002 (0.002)	Loss 2.3699 (2.2474)	Prec@1 39.062 (43.804)	Prec@5 69.531 (74.356)
Epoch: [31][5970/14090]	Time 0.729 (0.750)	Data 0.001 (0.002)	Loss 2.2858 (2.2474)	Prec@1 39.844 (43.800)	Prec@5 78.906 (74.357)
Epoch: [31][5980/14090]	Time 0.744 (0.750)	Data 0.001 (0.002)	Loss 2.2787 (2.2475)	Prec@1 39.062 (43.799)	Prec@5 75.000 (74.356)
Epoch: [31][5990/14090]	Time 0.742 (0.750)	Data 0.001 (0.002)	Loss 2.1764 (2.2476)	Prec@1 42.188 (43.796)	Prec@5 72.656 (74.353)
Epoch: [31][6000/14090]	Time 0.727 (0.750)	Data 0.001 (0.002)	Loss 2.1070 (2.2474)	Prec@1 47.656 (43.800)	Prec@5 76.562 (74.355)
Epoch: [31][6010/14090]	Time 0.764 (0.750)	Data 0.001 (0.002)	Loss 2.5578 (2.2475)	Prec@1 38.281 (43.797)	Prec@5 68.750 (74.355)
Epoch: [31][6020/14090]	Time 0.761 (0.750)	Data 0.001 (0.002)	Loss 2.4388 (2.2474)	Prec@1 39.844 (43.798)	Prec@5 73.438 (74.357)
Epoch: [31][6030/14090]	Time 0.761 (0.750)	Data 0.002 (0.002)	Loss 2.3627 (2.2474)	Prec@1 42.188 (43.800)	Prec@5 72.656 (74.357)
Epoch: [31][6040/14090]	Time 0.758 (0.750)	Data 0.001 (0.002)	Loss 2.0979 (2.2473)	Prec@1 48.438 (43.805)	Prec@5 78.906 (74.360)
Epoch: [31][6050/14090]	Time 0.759 (0.750)	Data 0.001 (0.002)	Loss 2.1718 (2.2475)	Prec@1 39.844 (43.800)	Prec@5 73.438 (74.355)
Epoch: [31][6060/14090]	Time 0.739 (0.750)	Data 0.001 (0.002)	Loss 2.0394 (2.2474)	Prec@1 46.094 (43.802)	Prec@5 81.250 (74.357)
Epoch: [31][6070/14090]	Time 0.761 (0.750)	Data 0.001 (0.002)	Loss 2.0997 (2.2474)	Prec@1 41.406 (43.802)	Prec@5 82.812 (74.359)
Epoch: [31][6080/14090]	Time 0.727 (0.750)	Data 0.001 (0.002)	Loss 2.3836 (2.2474)	Prec@1 39.844 (43.801)	Prec@5 74.219 (74.359)
Epoch: [31][6090/14090]	Time 0.761 (0.750)	Data 0.001 (0.002)	Loss 2.1530 (2.2473)	Prec@1 46.094 (43.803)	Prec@5 73.438 (74.361)
Epoch: [31][6100/14090]	Time 0.766 (0.750)	Data 0.003 (0.002)	Loss 2.4376 (2.2474)	Prec@1 42.188 (43.802)	Prec@5 70.312 (74.358)
Epoch: [31][6110/14090]	Time 0.742 (0.750)	Data 0.001 (0.002)	Loss 2.2234 (2.2474)	Prec@1 51.562 (43.803)	Prec@5 75.000 (74.357)
Epoch: [31][6120/14090]	Time 0.731 (0.750)	Data 0.001 (0.002)	Loss 2.2288 (2.2477)	Prec@1 42.969 (43.797)	Prec@5 75.000 (74.353)
Epoch: [31][6130/14090]	Time 0.732 (0.750)	Data 0.001 (0.002)	Loss 2.2825 (2.2476)	Prec@1 47.656 (43.798)	Prec@5 73.438 (74.357)
Epoch: [31][6140/14090]	Time 0.743 (0.750)	Data 0.001 (0.002)	Loss 2.0808 (2.2476)	Prec@1 46.094 (43.796)	Prec@5 82.031 (74.356)
Epoch: [31][6150/14090]	Time 0.728 (0.750)	Data 0.001 (0.002)	Loss 2.0307 (2.2475)	Prec@1 49.219 (43.799)	Prec@5 78.125 (74.358)
Epoch: [31][6160/14090]	Time 0.793 (0.750)	Data 0.001 (0.002)	Loss 2.3043 (2.2475)	Prec@1 42.969 (43.801)	Prec@5 75.000 (74.359)
Epoch: [31][6170/14090]	Time 0.759 (0.750)	Data 0.002 (0.002)	Loss 2.1698 (2.2475)	Prec@1 46.094 (43.803)	Prec@5 77.344 (74.363)
Epoch: [31][6180/14090]	Time 0.767 (0.750)	Data 0.001 (0.002)	Loss 2.4238 (2.2474)	Prec@1 37.500 (43.805)	Prec@5 75.000 (74.363)
Epoch: [31][6190/14090]	Time 0.748 (0.750)	Data 0.001 (0.002)	Loss 2.2548 (2.2474)	Prec@1 42.188 (43.805)	Prec@5 75.781 (74.365)
Epoch: [31][6200/14090]	Time 0.740 (0.750)	Data 0.001 (0.002)	Loss 2.3329 (2.2476)	Prec@1 39.844 (43.800)	Prec@5 72.656 (74.362)
Epoch: [31][6210/14090]	Time 0.743 (0.750)	Data 0.001 (0.002)	Loss 2.4196 (2.2476)	Prec@1 45.312 (43.801)	Prec@5 75.000 (74.360)
Epoch: [31][6220/14090]	Time 0.769 (0.750)	Data 0.001 (0.002)	Loss 2.4409 (2.2476)	Prec@1 42.188 (43.800)	Prec@5 70.312 (74.361)
Epoch: [31][6230/14090]	Time 0.744 (0.750)	Data 0.001 (0.002)	Loss 2.4689 (2.2476)	Prec@1 37.500 (43.798)	Prec@5 72.656 (74.361)
Epoch: [31][6240/14090]	Time 0.774 (0.750)	Data 0.002 (0.002)	Loss 2.0846 (2.2476)	Prec@1 43.750 (43.797)	Prec@5 78.125 (74.363)
Epoch: [31][6250/14090]	Time 0.770 (0.750)	Data 0.001 (0.002)	Loss 2.4798 (2.2476)	Prec@1 40.625 (43.797)	Prec@5 70.312 (74.363)
Epoch: [31][6260/14090]	Time 0.774 (0.750)	Data 0.001 (0.002)	Loss 2.3367 (2.2476)	Prec@1 35.156 (43.797)	Prec@5 76.562 (74.362)
Epoch: [31][6270/14090]	Time 0.757 (0.750)	Data 0.001 (0.002)	Loss 2.0317 (2.2477)	Prec@1 47.656 (43.794)	Prec@5 77.344 (74.360)
Epoch: [31][6280/14090]	Time 0.743 (0.750)	Data 0.001 (0.002)	Loss 2.0932 (2.2477)	Prec@1 45.312 (43.792)	Prec@5 79.688 (74.359)
Epoch: [31][6290/14090]	Time 0.743 (0.750)	Data 0.001 (0.002)	Loss 2.2734 (2.2478)	Prec@1 35.938 (43.792)	Prec@5 75.781 (74.358)
Epoch: [31][6300/14090]	Time 0.733 (0.750)	Data 0.001 (0.002)	Loss 2.0572 (2.2477)	Prec@1 53.125 (43.793)	Prec@5 76.562 (74.361)
Epoch: [31][6310/14090]	Time 0.746 (0.750)	Data 0.002 (0.002)	Loss 2.1743 (2.2476)	Prec@1 46.094 (43.794)	Prec@5 71.875 (74.361)
Epoch: [31][6320/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 2.0151 (2.2477)	Prec@1 46.875 (43.793)	Prec@5 81.250 (74.361)
Epoch: [31][6330/14090]	Time 0.738 (0.750)	Data 0.001 (0.002)	Loss 2.0614 (2.2477)	Prec@1 47.656 (43.795)	Prec@5 78.906 (74.360)
Epoch: [31][6340/14090]	Time 0.748 (0.750)	Data 0.001 (0.002)	Loss 2.2864 (2.2476)	Prec@1 41.406 (43.797)	Prec@5 71.094 (74.359)
Epoch: [31][6350/14090]	Time 0.760 (0.750)	Data 0.001 (0.002)	Loss 2.4949 (2.2475)	Prec@1 42.969 (43.802)	Prec@5 65.625 (74.360)
Epoch: [31][6360/14090]	Time 0.735 (0.750)	Data 0.001 (0.002)	Loss 2.1983 (2.2474)	Prec@1 54.688 (43.807)	Prec@5 78.906 (74.364)
Epoch: [31][6370/14090]	Time 0.759 (0.750)	Data 0.001 (0.002)	Loss 2.2479 (2.2473)	Prec@1 46.094 (43.809)	Prec@5 74.219 (74.366)
Epoch: [31][6380/14090]	Time 0.744 (0.750)	Data 0.002 (0.002)	Loss 2.1820 (2.2470)	Prec@1 48.438 (43.812)	Prec@5 74.219 (74.371)
Epoch: [31][6390/14090]	Time 0.759 (0.750)	Data 0.001 (0.002)	Loss 2.0808 (2.2469)	Prec@1 45.312 (43.815)	Prec@5 73.438 (74.372)
Epoch: [31][6400/14090]	Time 0.737 (0.750)	Data 0.001 (0.002)	Loss 2.4115 (2.2470)	Prec@1 39.062 (43.814)	Prec@5 71.094 (74.372)
Epoch: [31][6410/14090]	Time 0.725 (0.750)	Data 0.001 (0.002)	Loss 2.2295 (2.2469)	Prec@1 43.750 (43.817)	Prec@5 75.781 (74.374)
Epoch: [31][6420/14090]	Time 0.783 (0.750)	Data 0.001 (0.002)	Loss 2.2721 (2.2469)	Prec@1 40.625 (43.814)	Prec@5 69.531 (74.373)
Epoch: [31][6430/14090]	Time 0.744 (0.750)	Data 0.001 (0.002)	Loss 2.4339 (2.2468)	Prec@1 39.062 (43.816)	Prec@5 66.406 (74.374)
Epoch: [31][6440/14090]	Time 0.733 (0.750)	Data 0.001 (0.002)	Loss 2.5935 (2.2470)	Prec@1 39.062 (43.815)	Prec@5 71.875 (74.372)
Epoch: [31][6450/14090]	Time 0.742 (0.750)	Data 0.002 (0.002)	Loss 2.2845 (2.2471)	Prec@1 42.188 (43.809)	Prec@5 69.531 (74.369)
Epoch: [31][6460/14090]	Time 0.766 (0.750)	Data 0.001 (0.002)	Loss 2.2500 (2.2471)	Prec@1 41.406 (43.810)	Prec@5 71.094 (74.368)
Epoch: [31][6470/14090]	Time 0.724 (0.750)	Data 0.001 (0.002)	Loss 2.3204 (2.2471)	Prec@1 37.500 (43.807)	Prec@5 76.562 (74.366)
Epoch: [31][6480/14090]	Time 0.740 (0.750)	Data 0.001 (0.002)	Loss 1.9608 (2.2471)	Prec@1 46.094 (43.805)	Prec@5 79.688 (74.367)
Epoch: [31][6490/14090]	Time 0.732 (0.750)	Data 0.001 (0.002)	Loss 2.2541 (2.2471)	Prec@1 43.750 (43.805)	Prec@5 75.000 (74.367)
Epoch: [31][6500/14090]	Time 0.772 (0.750)	Data 0.001 (0.002)	Loss 1.8192 (2.2470)	Prec@1 51.562 (43.807)	Prec@5 82.812 (74.369)
Epoch: [31][6510/14090]	Time 0.765 (0.750)	Data 0.001 (0.002)	Loss 2.2856 (2.2469)	Prec@1 40.625 (43.806)	Prec@5 71.875 (74.370)
Epoch: [31][6520/14090]	Time 0.732 (0.750)	Data 0.002 (0.002)	Loss 2.0690 (2.2470)	Prec@1 48.438 (43.806)	Prec@5 76.562 (74.369)
Epoch: [31][6530/14090]	Time 0.777 (0.750)	Data 0.001 (0.002)	Loss 2.2451 (2.2471)	Prec@1 43.750 (43.806)	Prec@5 71.094 (74.366)
Epoch: [31][6540/14090]	Time 0.754 (0.750)	Data 0.001 (0.002)	Loss 2.3314 (2.2471)	Prec@1 41.406 (43.804)	Prec@5 70.312 (74.364)
Epoch: [31][6550/14090]	Time 0.731 (0.750)	Data 0.001 (0.002)	Loss 2.2128 (2.2471)	Prec@1 43.750 (43.805)	Prec@5 73.438 (74.363)
Epoch: [31][6560/14090]	Time 0.724 (0.750)	Data 0.001 (0.002)	Loss 2.2508 (2.2471)	Prec@1 47.656 (43.806)	Prec@5 75.781 (74.366)
Epoch: [31][6570/14090]	Time 0.735 (0.750)	Data 0.001 (0.002)	Loss 2.2288 (2.2470)	Prec@1 43.750 (43.809)	Prec@5 72.656 (74.366)
Epoch: [31][6580/14090]	Time 0.766 (0.750)	Data 0.001 (0.002)	Loss 2.1208 (2.2471)	Prec@1 48.438 (43.811)	Prec@5 75.781 (74.366)
Epoch: [31][6590/14090]	Time 0.752 (0.750)	Data 0.002 (0.002)	Loss 2.2765 (2.2472)	Prec@1 41.406 (43.808)	Prec@5 75.000 (74.363)
Epoch: [31][6600/14090]	Time 0.737 (0.750)	Data 0.001 (0.002)	Loss 2.2711 (2.2473)	Prec@1 41.406 (43.805)	Prec@5 77.344 (74.365)
Epoch: [31][6610/14090]	Time 0.730 (0.750)	Data 0.001 (0.002)	Loss 2.4442 (2.2473)	Prec@1 39.844 (43.803)	Prec@5 71.875 (74.364)
Epoch: [31][6620/14090]	Time 0.727 (0.750)	Data 0.001 (0.002)	Loss 2.2256 (2.2472)	Prec@1 43.750 (43.805)	Prec@5 73.438 (74.365)
Epoch: [31][6630/14090]	Time 0.751 (0.750)	Data 0.001 (0.002)	Loss 1.9901 (2.2473)	Prec@1 48.438 (43.800)	Prec@5 82.031 (74.364)
Epoch: [31][6640/14090]	Time 0.769 (0.750)	Data 0.001 (0.002)	Loss 2.1922 (2.2472)	Prec@1 46.875 (43.803)	Prec@5 74.219 (74.366)
Epoch: [31][6650/14090]	Time 0.732 (0.750)	Data 0.001 (0.002)	Loss 2.6223 (2.2473)	Prec@1 37.500 (43.801)	Prec@5 67.188 (74.361)
Epoch: [31][6660/14090]	Time 0.752 (0.750)	Data 0.002 (0.002)	Loss 2.1344 (2.2474)	Prec@1 43.750 (43.801)	Prec@5 73.438 (74.359)
Epoch: [31][6670/14090]	Time 0.731 (0.750)	Data 0.001 (0.002)	Loss 2.4314 (2.2475)	Prec@1 40.625 (43.798)	Prec@5 75.000 (74.358)
Epoch: [31][6680/14090]	Time 0.772 (0.750)	Data 0.001 (0.002)	Loss 2.0263 (2.2475)	Prec@1 43.750 (43.801)	Prec@5 79.688 (74.359)
Epoch: [31][6690/14090]	Time 0.761 (0.750)	Data 0.001 (0.002)	Loss 1.9826 (2.2475)	Prec@1 47.656 (43.801)	Prec@5 79.688 (74.358)
Epoch: [31][6700/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 2.4952 (2.2475)	Prec@1 42.188 (43.800)	Prec@5 70.312 (74.357)
Epoch: [31][6710/14090]	Time 0.734 (0.750)	Data 0.001 (0.002)	Loss 2.3675 (2.2475)	Prec@1 44.531 (43.801)	Prec@5 72.656 (74.358)
Epoch: [31][6720/14090]	Time 0.742 (0.750)	Data 0.001 (0.002)	Loss 2.3234 (2.2476)	Prec@1 43.750 (43.798)	Prec@5 72.656 (74.356)
Epoch: [31][6730/14090]	Time 0.734 (0.750)	Data 0.002 (0.002)	Loss 1.8842 (2.2475)	Prec@1 51.562 (43.798)	Prec@5 82.031 (74.358)
Epoch: [31][6740/14090]	Time 0.739 (0.750)	Data 0.001 (0.002)	Loss 2.3352 (2.2475)	Prec@1 41.406 (43.797)	Prec@5 70.312 (74.360)
Epoch: [31][6750/14090]	Time 0.738 (0.750)	Data 0.001 (0.002)	Loss 2.1049 (2.2474)	Prec@1 42.188 (43.797)	Prec@5 76.562 (74.361)
Epoch: [31][6760/14090]	Time 0.748 (0.750)	Data 0.001 (0.002)	Loss 1.9817 (2.2473)	Prec@1 50.000 (43.799)	Prec@5 77.344 (74.361)
Epoch: [31][6770/14090]	Time 0.744 (0.750)	Data 0.001 (0.002)	Loss 2.1576 (2.2472)	Prec@1 50.000 (43.802)	Prec@5 74.219 (74.362)
Epoch: [31][6780/14090]	Time 0.762 (0.750)	Data 0.001 (0.002)	Loss 2.3235 (2.2472)	Prec@1 40.625 (43.803)	Prec@5 72.656 (74.364)
Epoch: [31][6790/14090]	Time 0.800 (0.750)	Data 0.001 (0.002)	Loss 2.4471 (2.2472)	Prec@1 40.625 (43.802)	Prec@5 72.656 (74.366)
Epoch: [31][6800/14090]	Time 0.747 (0.750)	Data 0.002 (0.002)	Loss 2.3943 (2.2473)	Prec@1 42.969 (43.800)	Prec@5 74.219 (74.363)
Epoch: [31][6810/14090]	Time 0.755 (0.750)	Data 0.001 (0.002)	Loss 2.4235 (2.2474)	Prec@1 41.406 (43.799)	Prec@5 72.656 (74.363)
Epoch: [31][6820/14090]	Time 0.755 (0.750)	Data 0.001 (0.002)	Loss 2.0331 (2.2473)	Prec@1 44.531 (43.803)	Prec@5 81.250 (74.362)
Epoch: [31][6830/14090]	Time 0.773 (0.750)	Data 0.001 (0.002)	Loss 2.2526 (2.2473)	Prec@1 44.531 (43.804)	Prec@5 71.875 (74.363)
Epoch: [31][6840/14090]	Time 0.741 (0.750)	Data 0.002 (0.002)	Loss 2.1806 (2.2472)	Prec@1 42.969 (43.803)	Prec@5 75.781 (74.365)
Epoch: [31][6850/14090]	Time 0.737 (0.750)	Data 0.001 (0.002)	Loss 2.1082 (2.2471)	Prec@1 50.000 (43.805)	Prec@5 78.125 (74.364)
Epoch: [31][6860/14090]	Time 0.742 (0.750)	Data 0.001 (0.002)	Loss 2.0372 (2.2472)	Prec@1 46.094 (43.806)	Prec@5 78.906 (74.364)
Epoch: [31][6870/14090]	Time 0.754 (0.750)	Data 0.002 (0.002)	Loss 1.9549 (2.2471)	Prec@1 44.531 (43.807)	Prec@5 83.594 (74.367)
Epoch: [31][6880/14090]	Time 0.726 (0.750)	Data 0.001 (0.002)	Loss 2.1926 (2.2471)	Prec@1 50.781 (43.806)	Prec@5 75.781 (74.366)
Epoch: [31][6890/14090]	Time 0.761 (0.750)	Data 0.001 (0.002)	Loss 2.3008 (2.2471)	Prec@1 43.750 (43.806)	Prec@5 72.656 (74.367)
Epoch: [31][6900/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 1.9900 (2.2471)	Prec@1 46.094 (43.807)	Prec@5 76.562 (74.368)
Epoch: [31][6910/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 2.2770 (2.2470)	Prec@1 48.438 (43.804)	Prec@5 67.188 (74.366)
Epoch: [31][6920/14090]	Time 0.728 (0.750)	Data 0.001 (0.002)	Loss 2.3710 (2.2471)	Prec@1 42.188 (43.802)	Prec@5 74.219 (74.367)
Epoch: [31][6930/14090]	Time 0.763 (0.750)	Data 0.001 (0.002)	Loss 2.2297 (2.2470)	Prec@1 44.531 (43.803)	Prec@5 76.562 (74.370)
Epoch: [31][6940/14090]	Time 0.748 (0.750)	Data 0.003 (0.002)	Loss 2.4544 (2.2471)	Prec@1 44.531 (43.800)	Prec@5 67.969 (74.369)
Epoch: [31][6950/14090]	Time 0.759 (0.750)	Data 0.002 (0.002)	Loss 2.4005 (2.2472)	Prec@1 38.281 (43.798)	Prec@5 69.531 (74.367)
Epoch: [31][6960/14090]	Time 0.748 (0.750)	Data 0.001 (0.002)	Loss 2.1550 (2.2472)	Prec@1 45.312 (43.798)	Prec@5 79.688 (74.368)
Epoch: [31][6970/14090]	Time 0.748 (0.750)	Data 0.001 (0.002)	Loss 2.4230 (2.2471)	Prec@1 42.969 (43.799)	Prec@5 72.656 (74.369)
Epoch: [31][6980/14090]	Time 0.732 (0.750)	Data 0.001 (0.002)	Loss 2.2788 (2.2471)	Prec@1 46.094 (43.798)	Prec@5 74.219 (74.370)
Epoch: [31][6990/14090]	Time 0.759 (0.750)	Data 0.001 (0.002)	Loss 2.1870 (2.2471)	Prec@1 50.000 (43.798)	Prec@5 75.781 (74.369)
Epoch: [31][7000/14090]	Time 0.746 (0.750)	Data 0.001 (0.002)	Loss 2.2334 (2.2471)	Prec@1 42.188 (43.796)	Prec@5 72.656 (74.372)
Epoch: [31][7010/14090]	Time 0.747 (0.750)	Data 0.002 (0.002)	Loss 2.1671 (2.2470)	Prec@1 48.438 (43.798)	Prec@5 75.781 (74.371)
Epoch: [31][7020/14090]	Time 0.768 (0.750)	Data 0.001 (0.002)	Loss 2.0455 (2.2472)	Prec@1 43.750 (43.795)	Prec@5 77.344 (74.366)
Epoch: [31][7030/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 2.1755 (2.2471)	Prec@1 48.438 (43.796)	Prec@5 76.562 (74.367)
Epoch: [31][7040/14090]	Time 0.741 (0.750)	Data 0.001 (0.002)	Loss 2.3370 (2.2471)	Prec@1 41.406 (43.796)	Prec@5 74.219 (74.368)
Epoch: [31][7050/14090]	Time 0.758 (0.750)	Data 0.001 (0.002)	Loss 2.0512 (2.2470)	Prec@1 45.312 (43.797)	Prec@5 81.250 (74.368)
Epoch: [31][7060/14090]	Time 0.722 (0.750)	Data 0.001 (0.002)	Loss 2.2373 (2.2471)	Prec@1 39.844 (43.795)	Prec@5 73.438 (74.363)
Epoch: [31][7070/14090]	Time 0.734 (0.750)	Data 0.001 (0.002)	Loss 2.1957 (2.2471)	Prec@1 42.969 (43.794)	Prec@5 72.656 (74.362)
Epoch: [31][7080/14090]	Time 0.777 (0.750)	Data 0.002 (0.002)	Loss 2.3105 (2.2471)	Prec@1 43.750 (43.793)	Prec@5 74.219 (74.364)
Epoch: [31][7090/14090]	Time 0.727 (0.750)	Data 0.001 (0.002)	Loss 2.1410 (2.2471)	Prec@1 46.875 (43.790)	Prec@5 74.219 (74.361)
Epoch: [31][7100/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 2.4169 (2.2471)	Prec@1 40.625 (43.789)	Prec@5 68.750 (74.362)
Epoch: [31][7110/14090]	Time 0.743 (0.750)	Data 0.001 (0.002)	Loss 2.2180 (2.2470)	Prec@1 47.656 (43.790)	Prec@5 72.656 (74.362)
Epoch: [31][7120/14090]	Time 0.779 (0.750)	Data 0.001 (0.002)	Loss 2.3219 (2.2471)	Prec@1 50.000 (43.789)	Prec@5 75.781 (74.362)
Epoch: [31][7130/14090]	Time 0.770 (0.750)	Data 0.001 (0.002)	Loss 2.2615 (2.2469)	Prec@1 44.531 (43.790)	Prec@5 77.344 (74.363)
Epoch: [31][7140/14090]	Time 0.766 (0.750)	Data 0.002 (0.002)	Loss 2.3822 (2.2468)	Prec@1 35.156 (43.791)	Prec@5 74.219 (74.366)
Epoch: [31][7150/14090]	Time 0.761 (0.750)	Data 0.002 (0.002)	Loss 2.2462 (2.2468)	Prec@1 44.531 (43.791)	Prec@5 78.125 (74.367)
Epoch: [31][7160/14090]	Time 0.754 (0.750)	Data 0.001 (0.002)	Loss 2.3784 (2.2469)	Prec@1 44.531 (43.791)	Prec@5 72.656 (74.365)
Epoch: [31][7170/14090]	Time 0.736 (0.750)	Data 0.003 (0.002)	Loss 2.2774 (2.2469)	Prec@1 40.625 (43.791)	Prec@5 71.875 (74.364)
Epoch: [31][7180/14090]	Time 0.744 (0.750)	Data 0.001 (0.002)	Loss 2.3652 (2.2470)	Prec@1 42.188 (43.787)	Prec@5 68.750 (74.362)
Epoch: [31][7190/14090]	Time 0.759 (0.750)	Data 0.001 (0.002)	Loss 2.2709 (2.2469)	Prec@1 43.750 (43.788)	Prec@5 77.344 (74.365)
Epoch: [31][7200/14090]	Time 0.766 (0.750)	Data 0.001 (0.002)	Loss 2.2224 (2.2468)	Prec@1 40.625 (43.790)	Prec@5 71.875 (74.366)
Epoch: [31][7210/14090]	Time 0.741 (0.750)	Data 0.001 (0.002)	Loss 2.1659 (2.2467)	Prec@1 53.906 (43.793)	Prec@5 75.000 (74.369)
Epoch: [31][7220/14090]	Time 0.740 (0.750)	Data 0.002 (0.002)	Loss 2.0373 (2.2468)	Prec@1 45.312 (43.791)	Prec@5 78.125 (74.367)
Epoch: [31][7230/14090]	Time 0.741 (0.750)	Data 0.001 (0.002)	Loss 2.0716 (2.2467)	Prec@1 44.531 (43.790)	Prec@5 75.781 (74.366)
Epoch: [31][7240/14090]	Time 0.729 (0.750)	Data 0.001 (0.002)	Loss 2.3081 (2.2467)	Prec@1 50.781 (43.790)	Prec@5 71.875 (74.367)
Epoch: [31][7250/14090]	Time 0.743 (0.750)	Data 0.001 (0.002)	Loss 2.1213 (2.2469)	Prec@1 44.531 (43.787)	Prec@5 74.219 (74.365)
Epoch: [31][7260/14090]	Time 0.737 (0.750)	Data 0.001 (0.002)	Loss 2.2842 (2.2468)	Prec@1 43.750 (43.786)	Prec@5 75.781 (74.369)
Epoch: [31][7270/14090]	Time 0.759 (0.750)	Data 0.001 (0.002)	Loss 2.0351 (2.2468)	Prec@1 47.656 (43.787)	Prec@5 79.688 (74.371)
Epoch: [31][7280/14090]	Time 0.734 (0.750)	Data 0.001 (0.002)	Loss 2.3428 (2.2467)	Prec@1 44.531 (43.789)	Prec@5 67.969 (74.371)
Epoch: [31][7290/14090]	Time 0.729 (0.750)	Data 0.002 (0.002)	Loss 2.2362 (2.2466)	Prec@1 46.094 (43.790)	Prec@5 79.688 (74.372)
Epoch: [31][7300/14090]	Time 0.758 (0.750)	Data 0.001 (0.002)	Loss 2.3043 (2.2466)	Prec@1 42.969 (43.791)	Prec@5 70.312 (74.372)
Epoch: [31][7310/14090]	Time 0.761 (0.750)	Data 0.001 (0.002)	Loss 2.0053 (2.2466)	Prec@1 48.438 (43.792)	Prec@5 81.250 (74.374)
Epoch: [31][7320/14090]	Time 0.746 (0.750)	Data 0.001 (0.002)	Loss 2.2977 (2.2465)	Prec@1 40.625 (43.793)	Prec@5 73.438 (74.379)
Epoch: [31][7330/14090]	Time 0.760 (0.750)	Data 0.001 (0.002)	Loss 1.9884 (2.2463)	Prec@1 50.000 (43.796)	Prec@5 78.906 (74.382)
Epoch: [31][7340/14090]	Time 0.755 (0.750)	Data 0.001 (0.002)	Loss 2.0671 (2.2462)	Prec@1 42.188 (43.798)	Prec@5 77.344 (74.383)
Epoch: [31][7350/14090]	Time 0.780 (0.750)	Data 0.001 (0.002)	Loss 2.0897 (2.2463)	Prec@1 47.656 (43.795)	Prec@5 77.344 (74.382)
Epoch: [31][7360/14090]	Time 0.740 (0.750)	Data 0.002 (0.002)	Loss 2.5129 (2.2462)	Prec@1 42.188 (43.798)	Prec@5 68.750 (74.382)
Epoch: [31][7370/14090]	Time 0.728 (0.750)	Data 0.001 (0.002)	Loss 1.9787 (2.2461)	Prec@1 48.438 (43.799)	Prec@5 77.344 (74.383)
Epoch: [31][7380/14090]	Time 0.762 (0.750)	Data 0.001 (0.002)	Loss 2.2574 (2.2461)	Prec@1 44.531 (43.798)	Prec@5 69.531 (74.382)
Epoch: [31][7390/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 2.4418 (2.2462)	Prec@1 41.406 (43.795)	Prec@5 73.438 (74.379)
Epoch: [31][7400/14090]	Time 0.767 (0.750)	Data 0.001 (0.002)	Loss 2.1682 (2.2463)	Prec@1 46.094 (43.795)	Prec@5 73.438 (74.378)
Epoch: [31][7410/14090]	Time 0.739 (0.750)	Data 0.001 (0.002)	Loss 2.0941 (2.2463)	Prec@1 47.656 (43.795)	Prec@5 78.125 (74.378)
Epoch: [31][7420/14090]	Time 0.754 (0.750)	Data 0.001 (0.002)	Loss 2.1346 (2.2463)	Prec@1 48.438 (43.799)	Prec@5 75.000 (74.378)
Epoch: [31][7430/14090]	Time 0.736 (0.750)	Data 0.002 (0.002)	Loss 2.4490 (2.2462)	Prec@1 39.844 (43.802)	Prec@5 71.094 (74.379)
Epoch: [31][7440/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 2.2309 (2.2462)	Prec@1 38.281 (43.802)	Prec@5 75.000 (74.379)
Epoch: [31][7450/14090]	Time 0.725 (0.750)	Data 0.001 (0.002)	Loss 2.1603 (2.2462)	Prec@1 46.875 (43.802)	Prec@5 78.125 (74.379)
Epoch: [31][7460/14090]	Time 0.735 (0.750)	Data 0.001 (0.002)	Loss 2.3904 (2.2463)	Prec@1 44.531 (43.800)	Prec@5 69.531 (74.378)
Epoch: [31][7470/14090]	Time 0.759 (0.750)	Data 0.001 (0.002)	Loss 2.2089 (2.2462)	Prec@1 46.875 (43.802)	Prec@5 75.000 (74.379)
Epoch: [31][7480/14090]	Time 0.753 (0.750)	Data 0.001 (0.002)	Loss 2.3099 (2.2462)	Prec@1 48.438 (43.802)	Prec@5 74.219 (74.380)
Epoch: [31][7490/14090]	Time 0.731 (0.750)	Data 0.001 (0.002)	Loss 2.4455 (2.2463)	Prec@1 39.062 (43.799)	Prec@5 71.875 (74.380)
Epoch: [31][7500/14090]	Time 0.799 (0.750)	Data 0.002 (0.002)	Loss 2.5030 (2.2463)	Prec@1 32.812 (43.798)	Prec@5 71.875 (74.381)
Epoch: [31][7510/14090]	Time 0.753 (0.750)	Data 0.001 (0.002)	Loss 2.4072 (2.2463)	Prec@1 40.625 (43.796)	Prec@5 71.875 (74.382)
Epoch: [31][7520/14090]	Time 0.777 (0.750)	Data 0.001 (0.002)	Loss 2.0763 (2.2462)	Prec@1 44.531 (43.795)	Prec@5 78.906 (74.385)
Epoch: [31][7530/14090]	Time 0.751 (0.750)	Data 0.001 (0.002)	Loss 2.2530 (2.2462)	Prec@1 39.062 (43.794)	Prec@5 78.125 (74.386)
Epoch: [31][7540/14090]	Time 0.765 (0.750)	Data 0.001 (0.002)	Loss 2.0157 (2.2461)	Prec@1 43.750 (43.796)	Prec@5 78.906 (74.388)
Epoch: [31][7550/14090]	Time 0.732 (0.750)	Data 0.001 (0.002)	Loss 2.2025 (2.2461)	Prec@1 46.875 (43.797)	Prec@5 75.000 (74.389)
Epoch: [31][7560/14090]	Time 0.781 (0.750)	Data 0.001 (0.002)	Loss 2.3332 (2.2460)	Prec@1 43.750 (43.799)	Prec@5 68.750 (74.389)
Epoch: [31][7570/14090]	Time 0.763 (0.750)	Data 0.002 (0.002)	Loss 2.4395 (2.2460)	Prec@1 39.844 (43.798)	Prec@5 69.531 (74.390)
Epoch: [31][7580/14090]	Time 0.735 (0.750)	Data 0.001 (0.002)	Loss 2.0138 (2.2460)	Prec@1 48.438 (43.798)	Prec@5 77.344 (74.388)
Epoch: [31][7590/14090]	Time 0.732 (0.750)	Data 0.001 (0.002)	Loss 2.1575 (2.2461)	Prec@1 47.656 (43.798)	Prec@5 74.219 (74.385)
Epoch: [31][7600/14090]	Time 0.739 (0.750)	Data 0.001 (0.002)	Loss 2.1004 (2.2461)	Prec@1 51.562 (43.797)	Prec@5 75.781 (74.385)
Epoch: [31][7610/14090]	Time 0.739 (0.750)	Data 0.001 (0.002)	Loss 2.5200 (2.2461)	Prec@1 39.062 (43.795)	Prec@5 67.969 (74.385)
Epoch: [31][7620/14090]	Time 0.756 (0.750)	Data 0.001 (0.002)	Loss 2.3047 (2.2461)	Prec@1 42.969 (43.796)	Prec@5 74.219 (74.385)
Epoch: [31][7630/14090]	Time 0.735 (0.750)	Data 0.001 (0.002)	Loss 2.4289 (2.2461)	Prec@1 43.750 (43.796)	Prec@5 74.219 (74.386)
Epoch: [31][7640/14090]	Time 0.740 (0.750)	Data 0.002 (0.002)	Loss 2.3026 (2.2460)	Prec@1 45.312 (43.797)	Prec@5 71.875 (74.386)
Epoch: [31][7650/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 2.4030 (2.2459)	Prec@1 43.750 (43.802)	Prec@5 74.219 (74.384)
Epoch: [31][7660/14090]	Time 0.777 (0.750)	Data 0.001 (0.002)	Loss 1.9811 (2.2460)	Prec@1 50.000 (43.802)	Prec@5 78.906 (74.383)
Epoch: [31][7670/14090]	Time 0.771 (0.750)	Data 0.001 (0.002)	Loss 2.0183 (2.2459)	Prec@1 50.000 (43.804)	Prec@5 77.344 (74.383)
Epoch: [31][7680/14090]	Time 0.767 (0.750)	Data 0.001 (0.002)	Loss 2.7054 (2.2459)	Prec@1 37.500 (43.802)	Prec@5 64.062 (74.383)
Epoch: [31][7690/14090]	Time 0.748 (0.750)	Data 0.001 (0.002)	Loss 2.4969 (2.2459)	Prec@1 38.281 (43.802)	Prec@5 68.750 (74.382)
Epoch: [31][7700/14090]	Time 0.763 (0.750)	Data 0.001 (0.002)	Loss 2.4362 (2.2459)	Prec@1 44.531 (43.804)	Prec@5 72.656 (74.382)
Epoch: [31][7710/14090]	Time 0.766 (0.750)	Data 0.003 (0.002)	Loss 2.1749 (2.2458)	Prec@1 46.094 (43.805)	Prec@5 75.781 (74.382)
Epoch: [31][7720/14090]	Time 0.746 (0.750)	Data 0.001 (0.002)	Loss 2.0653 (2.2458)	Prec@1 46.875 (43.805)	Prec@5 76.562 (74.380)
Epoch: [31][7730/14090]	Time 0.766 (0.750)	Data 0.001 (0.002)	Loss 2.4158 (2.2459)	Prec@1 39.062 (43.802)	Prec@5 68.750 (74.377)
Epoch: [31][7740/14090]	Time 0.730 (0.750)	Data 0.001 (0.002)	Loss 2.4101 (2.2460)	Prec@1 40.625 (43.801)	Prec@5 71.094 (74.377)
Epoch: [31][7750/14090]	Time 0.738 (0.750)	Data 0.001 (0.002)	Loss 2.2756 (2.2459)	Prec@1 39.844 (43.801)	Prec@5 74.219 (74.377)
Epoch: [31][7760/14090]	Time 0.743 (0.750)	Data 0.001 (0.002)	Loss 2.0774 (2.2459)	Prec@1 41.406 (43.801)	Prec@5 81.250 (74.378)
Epoch: [31][7770/14090]	Time 0.752 (0.750)	Data 0.003 (0.002)	Loss 2.3091 (2.2460)	Prec@1 43.750 (43.799)	Prec@5 77.344 (74.376)
Epoch: [31][7780/14090]	Time 0.736 (0.750)	Data 0.002 (0.002)	Loss 2.2509 (2.2459)	Prec@1 46.875 (43.800)	Prec@5 73.438 (74.378)
Epoch: [31][7790/14090]	Time 0.742 (0.750)	Data 0.001 (0.002)	Loss 2.3945 (2.2459)	Prec@1 39.844 (43.799)	Prec@5 71.094 (74.378)
Epoch: [31][7800/14090]	Time 0.776 (0.750)	Data 0.001 (0.002)	Loss 2.2900 (2.2459)	Prec@1 39.844 (43.800)	Prec@5 75.781 (74.380)
Epoch: [31][7810/14090]	Time 0.762 (0.750)	Data 0.001 (0.002)	Loss 2.3172 (2.2459)	Prec@1 42.969 (43.800)	Prec@5 72.656 (74.380)
Epoch: [31][7820/14090]	Time 0.756 (0.750)	Data 0.001 (0.002)	Loss 2.1601 (2.2458)	Prec@1 46.875 (43.800)	Prec@5 77.344 (74.383)
Epoch: [31][7830/14090]	Time 0.762 (0.750)	Data 0.001 (0.002)	Loss 2.3636 (2.2458)	Prec@1 44.531 (43.800)	Prec@5 73.438 (74.382)
Epoch: [31][7840/14090]	Time 0.733 (0.750)	Data 0.001 (0.002)	Loss 2.3036 (2.2459)	Prec@1 47.656 (43.799)	Prec@5 75.000 (74.381)
Epoch: [31][7850/14090]	Time 0.740 (0.750)	Data 0.002 (0.002)	Loss 2.5472 (2.2460)	Prec@1 42.969 (43.799)	Prec@5 66.406 (74.379)
Epoch: [31][7860/14090]	Time 0.765 (0.750)	Data 0.001 (0.002)	Loss 2.0043 (2.2460)	Prec@1 54.688 (43.800)	Prec@5 78.906 (74.379)
Epoch: [31][7870/14090]	Time 0.767 (0.750)	Data 0.001 (0.002)	Loss 2.0992 (2.2459)	Prec@1 45.312 (43.802)	Prec@5 76.562 (74.382)
Epoch: [31][7880/14090]	Time 0.741 (0.750)	Data 0.001 (0.002)	Loss 2.2351 (2.2460)	Prec@1 41.406 (43.800)	Prec@5 74.219 (74.380)
Epoch: [31][7890/14090]	Time 0.757 (0.750)	Data 0.001 (0.002)	Loss 2.1995 (2.2459)	Prec@1 46.094 (43.801)	Prec@5 74.219 (74.381)
Epoch: [31][7900/14090]	Time 0.734 (0.750)	Data 0.001 (0.002)	Loss 2.5653 (2.2459)	Prec@1 38.281 (43.802)	Prec@5 71.094 (74.383)
Epoch: [31][7910/14090]	Time 0.766 (0.750)	Data 0.001 (0.002)	Loss 2.2222 (2.2458)	Prec@1 46.094 (43.805)	Prec@5 80.469 (74.384)
Epoch: [31][7920/14090]	Time 0.743 (0.750)	Data 0.003 (0.002)	Loss 2.4160 (2.2459)	Prec@1 40.625 (43.802)	Prec@5 73.438 (74.383)
Epoch: [31][7930/14090]	Time 0.744 (0.750)	Data 0.001 (0.002)	Loss 2.2335 (2.2458)	Prec@1 39.844 (43.804)	Prec@5 75.000 (74.386)
Epoch: [31][7940/14090]	Time 0.771 (0.750)	Data 0.001 (0.002)	Loss 2.0131 (2.2458)	Prec@1 44.531 (43.804)	Prec@5 77.344 (74.385)
Epoch: [31][7950/14090]	Time 0.766 (0.750)	Data 0.001 (0.002)	Loss 2.0382 (2.2458)	Prec@1 46.094 (43.804)	Prec@5 78.906 (74.386)
Epoch: [31][7960/14090]	Time 0.761 (0.750)	Data 0.002 (0.002)	Loss 2.4485 (2.2457)	Prec@1 35.938 (43.806)	Prec@5 71.875 (74.389)
Epoch: [31][7970/14090]	Time 0.726 (0.750)	Data 0.001 (0.002)	Loss 1.9241 (2.2456)	Prec@1 49.219 (43.805)	Prec@5 79.688 (74.389)
Epoch: [31][7980/14090]	Time 0.762 (0.750)	Data 0.001 (0.002)	Loss 1.9541 (2.2456)	Prec@1 54.688 (43.806)	Prec@5 80.469 (74.391)
Epoch: [31][7990/14090]	Time 0.737 (0.750)	Data 0.002 (0.002)	Loss 2.4194 (2.2456)	Prec@1 39.844 (43.808)	Prec@5 71.875 (74.391)
Epoch: [31][8000/14090]	Time 0.747 (0.750)	Data 0.001 (0.002)	Loss 2.2801 (2.2457)	Prec@1 46.875 (43.806)	Prec@5 71.875 (74.391)
Epoch: [31][8010/14090]	Time 0.771 (0.750)	Data 0.001 (0.002)	Loss 2.1902 (2.2457)	Prec@1 46.875 (43.805)	Prec@5 75.000 (74.390)
Epoch: [31][8020/14090]	Time 0.736 (0.750)	Data 0.001 (0.002)	Loss 2.3587 (2.2457)	Prec@1 40.625 (43.806)	Prec@5 71.094 (74.392)
Epoch: [31][8030/14090]	Time 0.756 (0.750)	Data 0.001 (0.002)	Loss 2.3114 (2.2458)	Prec@1 41.406 (43.804)	Prec@5 73.438 (74.391)
Epoch: [31][8040/14090]	Time 0.738 (0.750)	Data 0.001 (0.002)	Loss 2.1492 (2.2457)	Prec@1 47.656 (43.805)	Prec@5 77.344 (74.393)
Epoch: [31][8050/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 2.4524 (2.2458)	Prec@1 40.625 (43.805)	Prec@5 71.094 (74.391)
Epoch: [31][8060/14090]	Time 0.762 (0.750)	Data 0.002 (0.002)	Loss 2.0846 (2.2457)	Prec@1 50.000 (43.807)	Prec@5 77.344 (74.392)
Epoch: [31][8070/14090]	Time 0.761 (0.750)	Data 0.001 (0.002)	Loss 2.2024 (2.2456)	Prec@1 47.656 (43.809)	Prec@5 71.875 (74.396)
Epoch: [31][8080/14090]	Time 0.727 (0.750)	Data 0.001 (0.002)	Loss 2.2795 (2.2454)	Prec@1 44.531 (43.813)	Prec@5 75.781 (74.397)
Epoch: [31][8090/14090]	Time 0.753 (0.750)	Data 0.001 (0.002)	Loss 2.1641 (2.2454)	Prec@1 46.094 (43.814)	Prec@5 75.000 (74.397)
Epoch: [31][8100/14090]	Time 0.769 (0.750)	Data 0.001 (0.002)	Loss 2.2540 (2.2454)	Prec@1 45.312 (43.814)	Prec@5 75.781 (74.396)
Epoch: [31][8110/14090]	Time 0.747 (0.750)	Data 0.001 (0.002)	Loss 2.4208 (2.2455)	Prec@1 51.562 (43.813)	Prec@5 71.875 (74.393)
Epoch: [31][8120/14090]	Time 0.757 (0.750)	Data 0.001 (0.002)	Loss 2.2610 (2.2455)	Prec@1 45.312 (43.815)	Prec@5 74.219 (74.394)
Epoch: [31][8130/14090]	Time 0.727 (0.750)	Data 0.002 (0.002)	Loss 2.2363 (2.2456)	Prec@1 46.094 (43.814)	Prec@5 72.656 (74.392)
Epoch: [31][8140/14090]	Time 0.746 (0.750)	Data 0.001 (0.002)	Loss 2.5240 (2.2456)	Prec@1 38.281 (43.811)	Prec@5 66.406 (74.392)
Epoch: [31][8150/14090]	Time 0.725 (0.750)	Data 0.001 (0.002)	Loss 2.3099 (2.2456)	Prec@1 41.406 (43.813)	Prec@5 72.656 (74.392)
Epoch: [31][8160/14090]	Time 0.739 (0.750)	Data 0.001 (0.002)	Loss 2.3977 (2.2456)	Prec@1 35.938 (43.809)	Prec@5 71.875 (74.392)
Epoch: [31][8170/14090]	Time 0.724 (0.750)	Data 0.003 (0.002)	Loss 2.0849 (2.2457)	Prec@1 51.562 (43.808)	Prec@5 76.562 (74.392)
Epoch: [31][8180/14090]	Time 0.758 (0.750)	Data 0.001 (0.002)	Loss 2.2202 (2.2457)	Prec@1 43.750 (43.808)	Prec@5 72.656 (74.390)
Epoch: [31][8190/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 2.6405 (2.2458)	Prec@1 35.938 (43.806)	Prec@5 68.750 (74.388)
Epoch: [31][8200/14090]	Time 0.762 (0.750)	Data 0.002 (0.002)	Loss 2.3136 (2.2457)	Prec@1 40.625 (43.805)	Prec@5 73.438 (74.389)
Epoch: [31][8210/14090]	Time 0.731 (0.750)	Data 0.001 (0.002)	Loss 2.3374 (2.2457)	Prec@1 40.625 (43.807)	Prec@5 74.219 (74.390)
Epoch: [31][8220/14090]	Time 0.760 (0.750)	Data 0.003 (0.002)	Loss 2.3331 (2.2456)	Prec@1 46.094 (43.810)	Prec@5 71.875 (74.389)
Epoch: [31][8230/14090]	Time 0.779 (0.750)	Data 0.001 (0.002)	Loss 2.1271 (2.2457)	Prec@1 42.969 (43.811)	Prec@5 82.031 (74.389)
Epoch: [31][8240/14090]	Time 0.748 (0.750)	Data 0.001 (0.002)	Loss 2.1540 (2.2456)	Prec@1 48.438 (43.812)	Prec@5 78.125 (74.391)
Epoch: [31][8250/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 2.2013 (2.2456)	Prec@1 46.094 (43.814)	Prec@5 75.000 (74.392)
Epoch: [31][8260/14090]	Time 0.734 (0.750)	Data 0.001 (0.002)	Loss 2.0626 (2.2456)	Prec@1 50.781 (43.815)	Prec@5 78.125 (74.392)
Epoch: [31][8270/14090]	Time 0.733 (0.750)	Data 0.002 (0.002)	Loss 2.2568 (2.2456)	Prec@1 39.844 (43.815)	Prec@5 75.000 (74.391)
Epoch: [31][8280/14090]	Time 0.757 (0.750)	Data 0.002 (0.002)	Loss 2.7865 (2.2456)	Prec@1 32.031 (43.814)	Prec@5 63.281 (74.391)
Epoch: [31][8290/14090]	Time 0.746 (0.750)	Data 0.001 (0.002)	Loss 2.2722 (2.2456)	Prec@1 37.500 (43.813)	Prec@5 73.438 (74.391)
Epoch: [31][8300/14090]	Time 0.739 (0.750)	Data 0.001 (0.002)	Loss 1.9577 (2.2455)	Prec@1 48.438 (43.816)	Prec@5 84.375 (74.392)
Epoch: [31][8310/14090]	Time 0.736 (0.750)	Data 0.001 (0.002)	Loss 2.1433 (2.2454)	Prec@1 50.000 (43.818)	Prec@5 72.656 (74.393)
Epoch: [31][8320/14090]	Time 0.759 (0.750)	Data 0.001 (0.002)	Loss 2.2262 (2.2454)	Prec@1 41.406 (43.816)	Prec@5 74.219 (74.392)
Epoch: [31][8330/14090]	Time 0.745 (0.750)	Data 0.001 (0.002)	Loss 2.1785 (2.2453)	Prec@1 42.188 (43.817)	Prec@5 77.344 (74.394)
Epoch: [31][8340/14090]	Time 0.770 (0.750)	Data 0.002 (0.002)	Loss 2.1321 (2.2453)	Prec@1 43.750 (43.816)	Prec@5 73.438 (74.393)
Epoch: [31][8350/14090]	Time 0.755 (0.750)	Data 0.001 (0.002)	Loss 2.1354 (2.2453)	Prec@1 44.531 (43.815)	Prec@5 76.562 (74.394)
Epoch: [31][8360/14090]	Time 0.754 (0.750)	Data 0.001 (0.002)	Loss 1.9957 (2.2453)	Prec@1 47.656 (43.817)	Prec@5 81.250 (74.394)
Epoch: [31][8370/14090]	Time 0.751 (0.750)	Data 0.001 (0.002)	Loss 2.2796 (2.2453)	Prec@1 37.500 (43.816)	Prec@5 75.000 (74.394)
Epoch: [31][8380/14090]	Time 0.738 (0.750)	Data 0.001 (0.002)	Loss 2.0661 (2.2453)	Prec@1 49.219 (43.818)	Prec@5 77.344 (74.394)
Epoch: [31][8390/14090]	Time 0.776 (0.750)	Data 0.002 (0.002)	Loss 2.1271 (2.2453)	Prec@1 46.875 (43.819)	Prec@5 78.906 (74.393)
Epoch: [31][8400/14090]	Time 0.757 (0.750)	Data 0.001 (0.002)	Loss 2.3612 (2.2454)	Prec@1 46.094 (43.820)	Prec@5 76.562 (74.390)
Epoch: [31][8410/14090]	Time 0.741 (0.750)	Data 0.002 (0.002)	Loss 2.1513 (2.2454)	Prec@1 45.312 (43.821)	Prec@5 72.656 (74.392)
Epoch: [31][8420/14090]	Time 0.744 (0.750)	Data 0.001 (0.002)	Loss 2.2581 (2.2453)	Prec@1 39.844 (43.823)	Prec@5 77.344 (74.394)
Epoch: [31][8430/14090]	Time 0.735 (0.750)	Data 0.001 (0.002)	Loss 2.0646 (2.2452)	Prec@1 50.000 (43.825)	Prec@5 75.000 (74.395)
Epoch: [31][8440/14090]	Time 0.735 (0.750)	Data 0.001 (0.002)	Loss 2.2475 (2.2453)	Prec@1 42.969 (43.824)	Prec@5 74.219 (74.393)
Epoch: [31][8450/14090]	Time 0.768 (0.750)	Data 0.001 (0.002)	Loss 2.2824 (2.2452)	Prec@1 43.750 (43.825)	Prec@5 75.000 (74.396)
Epoch: [31][8460/14090]	Time 0.722 (0.750)	Data 0.001 (0.002)	Loss 2.3383 (2.2452)	Prec@1 44.531 (43.825)	Prec@5 70.312 (74.395)
Epoch: [31][8470/14090]	Time 0.739 (0.750)	Data 0.001 (0.002)	Loss 2.0257 (2.2451)	Prec@1 42.188 (43.822)	Prec@5 78.125 (74.397)
Epoch: [31][8480/14090]	Time 0.727 (0.750)	Data 0.002 (0.002)	Loss 2.1689 (2.2451)	Prec@1 49.219 (43.823)	Prec@5 76.562 (74.400)
Epoch: [31][8490/14090]	Time 0.730 (0.750)	Data 0.001 (0.002)	Loss 2.4114 (2.2450)	Prec@1 41.406 (43.827)	Prec@5 71.094 (74.402)
Epoch: [31][8500/14090]	Time 0.724 (0.750)	Data 0.001 (0.002)	Loss 2.1676 (2.2449)	Prec@1 46.094 (43.829)	Prec@5 77.344 (74.402)
Epoch: [31][8510/14090]	Time 0.766 (0.750)	Data 0.001 (0.002)	Loss 2.3593 (2.2448)	Prec@1 40.625 (43.829)	Prec@5 69.531 (74.401)
Epoch: [31][8520/14090]	Time 0.730 (0.750)	Data 0.001 (0.002)	Loss 2.3147 (2.2449)	Prec@1 42.188 (43.829)	Prec@5 73.438 (74.401)
Epoch: [31][8530/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 2.4319 (2.2447)	Prec@1 41.406 (43.834)	Prec@5 69.531 (74.403)
Epoch: [31][8540/14090]	Time 0.741 (0.750)	Data 0.001 (0.002)	Loss 2.0359 (2.2446)	Prec@1 48.438 (43.837)	Prec@5 72.656 (74.405)
Epoch: [31][8550/14090]	Time 0.763 (0.750)	Data 0.002 (0.002)	Loss 2.1416 (2.2445)	Prec@1 46.875 (43.840)	Prec@5 77.344 (74.407)
Epoch: [31][8560/14090]	Time 0.754 (0.750)	Data 0.001 (0.002)	Loss 2.2324 (2.2444)	Prec@1 42.188 (43.842)	Prec@5 78.125 (74.408)
Epoch: [31][8570/14090]	Time 0.732 (0.750)	Data 0.001 (0.002)	Loss 2.3875 (2.2444)	Prec@1 45.312 (43.842)	Prec@5 75.000 (74.408)
Epoch: [31][8580/14090]	Time 0.734 (0.750)	Data 0.001 (0.002)	Loss 2.0875 (2.2444)	Prec@1 47.656 (43.841)	Prec@5 75.000 (74.408)
Epoch: [31][8590/14090]	Time 0.755 (0.750)	Data 0.001 (0.002)	Loss 2.0327 (2.2444)	Prec@1 48.438 (43.843)	Prec@5 75.781 (74.409)
Epoch: [31][8600/14090]	Time 0.731 (0.750)	Data 0.001 (0.002)	Loss 1.9849 (2.2444)	Prec@1 47.656 (43.841)	Prec@5 82.812 (74.410)
Epoch: [31][8610/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 2.1329 (2.2443)	Prec@1 44.531 (43.841)	Prec@5 73.438 (74.412)
Epoch: [31][8620/14090]	Time 0.771 (0.750)	Data 0.002 (0.002)	Loss 2.4539 (2.2444)	Prec@1 37.500 (43.840)	Prec@5 73.438 (74.411)
Epoch: [31][8630/14090]	Time 0.753 (0.750)	Data 0.001 (0.002)	Loss 2.1685 (2.2444)	Prec@1 42.969 (43.840)	Prec@5 71.875 (74.411)
Epoch: [31][8640/14090]	Time 0.753 (0.750)	Data 0.001 (0.002)	Loss 2.0608 (2.2443)	Prec@1 45.312 (43.840)	Prec@5 78.125 (74.413)
Epoch: [31][8650/14090]	Time 0.757 (0.750)	Data 0.001 (0.002)	Loss 2.0460 (2.2442)	Prec@1 44.531 (43.841)	Prec@5 79.688 (74.415)
Epoch: [31][8660/14090]	Time 0.747 (0.750)	Data 0.001 (0.002)	Loss 2.1326 (2.2443)	Prec@1 48.438 (43.841)	Prec@5 76.562 (74.414)
Epoch: [31][8670/14090]	Time 0.727 (0.750)	Data 0.001 (0.002)	Loss 2.3737 (2.2442)	Prec@1 41.406 (43.842)	Prec@5 74.219 (74.416)
Epoch: [31][8680/14090]	Time 0.763 (0.750)	Data 0.001 (0.002)	Loss 2.2916 (2.2442)	Prec@1 45.312 (43.841)	Prec@5 75.000 (74.416)
Epoch: [31][8690/14090]	Time 0.743 (0.750)	Data 0.002 (0.002)	Loss 2.7601 (2.2443)	Prec@1 32.812 (43.838)	Prec@5 66.406 (74.416)
Epoch: [31][8700/14090]	Time 0.753 (0.750)	Data 0.001 (0.002)	Loss 2.2881 (2.2443)	Prec@1 38.281 (43.838)	Prec@5 72.656 (74.416)
Epoch: [31][8710/14090]	Time 0.778 (0.750)	Data 0.001 (0.002)	Loss 2.2083 (2.2442)	Prec@1 47.656 (43.839)	Prec@5 71.875 (74.418)
Epoch: [31][8720/14090]	Time 0.733 (0.750)	Data 0.001 (0.002)	Loss 2.3125 (2.2442)	Prec@1 39.062 (43.839)	Prec@5 78.125 (74.419)
Epoch: [31][8730/14090]	Time 0.757 (0.750)	Data 0.001 (0.002)	Loss 2.3047 (2.2441)	Prec@1 43.750 (43.839)	Prec@5 75.000 (74.420)
Epoch: [31][8740/14090]	Time 0.742 (0.750)	Data 0.001 (0.002)	Loss 2.3818 (2.2441)	Prec@1 45.312 (43.843)	Prec@5 73.438 (74.421)
Epoch: [31][8750/14090]	Time 0.738 (0.750)	Data 0.001 (0.002)	Loss 2.4376 (2.2442)	Prec@1 37.500 (43.841)	Prec@5 72.656 (74.419)
Epoch: [31][8760/14090]	Time 0.722 (0.750)	Data 0.002 (0.002)	Loss 2.1403 (2.2443)	Prec@1 46.875 (43.839)	Prec@5 75.000 (74.415)
Epoch: [31][8770/14090]	Time 0.771 (0.750)	Data 0.001 (0.002)	Loss 2.7798 (2.2443)	Prec@1 35.156 (43.839)	Prec@5 67.969 (74.415)
Epoch: [31][8780/14090]	Time 0.766 (0.750)	Data 0.001 (0.002)	Loss 2.0499 (2.2443)	Prec@1 52.344 (43.839)	Prec@5 77.344 (74.414)
Epoch: [31][8790/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 2.0298 (2.2443)	Prec@1 46.094 (43.839)	Prec@5 82.812 (74.415)
Epoch: [31][8800/14090]	Time 0.763 (0.750)	Data 0.001 (0.002)	Loss 2.1279 (2.2442)	Prec@1 45.312 (43.839)	Prec@5 71.875 (74.417)
Epoch: [31][8810/14090]	Time 0.761 (0.750)	Data 0.001 (0.002)	Loss 2.2430 (2.2442)	Prec@1 40.625 (43.838)	Prec@5 75.000 (74.417)
Epoch: [31][8820/14090]	Time 0.761 (0.750)	Data 0.001 (0.002)	Loss 2.1022 (2.2441)	Prec@1 50.000 (43.842)	Prec@5 81.250 (74.420)
Epoch: [31][8830/14090]	Time 0.746 (0.750)	Data 0.002 (0.002)	Loss 2.4898 (2.2441)	Prec@1 37.500 (43.841)	Prec@5 68.750 (74.420)
Epoch: [31][8840/14090]	Time 0.747 (0.750)	Data 0.001 (0.002)	Loss 2.4617 (2.2442)	Prec@1 36.719 (43.837)	Prec@5 70.312 (74.419)
Epoch: [31][8850/14090]	Time 0.737 (0.750)	Data 0.001 (0.002)	Loss 2.4319 (2.2443)	Prec@1 35.938 (43.836)	Prec@5 75.000 (74.419)
Epoch: [31][8860/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 2.1707 (2.2443)	Prec@1 39.844 (43.835)	Prec@5 78.125 (74.417)
Epoch: [31][8870/14090]	Time 0.738 (0.750)	Data 0.001 (0.002)	Loss 2.0322 (2.2442)	Prec@1 45.312 (43.837)	Prec@5 77.344 (74.420)
Epoch: [31][8880/14090]	Time 0.748 (0.750)	Data 0.001 (0.002)	Loss 2.1881 (2.2442)	Prec@1 46.094 (43.837)	Prec@5 76.562 (74.419)
Epoch: [31][8890/14090]	Time 0.755 (0.750)	Data 0.001 (0.002)	Loss 2.0990 (2.2442)	Prec@1 46.875 (43.837)	Prec@5 78.125 (74.420)
Epoch: [31][8900/14090]	Time 0.766 (0.750)	Data 0.002 (0.002)	Loss 2.0072 (2.2441)	Prec@1 48.438 (43.841)	Prec@5 80.469 (74.422)
Epoch: [31][8910/14090]	Time 0.764 (0.750)	Data 0.001 (0.002)	Loss 2.4873 (2.2442)	Prec@1 33.594 (43.836)	Prec@5 68.750 (74.419)
Epoch: [31][8920/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 2.1302 (2.2442)	Prec@1 46.094 (43.839)	Prec@5 76.562 (74.420)
Epoch: [31][8930/14090]	Time 0.764 (0.750)	Data 0.001 (0.002)	Loss 2.1963 (2.2442)	Prec@1 50.781 (43.837)	Prec@5 75.781 (74.420)
Epoch: [31][8940/14090]	Time 0.736 (0.750)	Data 0.001 (0.002)	Loss 2.5591 (2.2442)	Prec@1 39.844 (43.838)	Prec@5 69.531 (74.419)
Epoch: [31][8950/14090]	Time 0.760 (0.750)	Data 0.001 (0.002)	Loss 2.5481 (2.2442)	Prec@1 37.500 (43.838)	Prec@5 70.312 (74.421)
Epoch: [31][8960/14090]	Time 0.725 (0.750)	Data 0.001 (0.002)	Loss 2.2858 (2.2441)	Prec@1 40.625 (43.839)	Prec@5 71.875 (74.422)
Epoch: [31][8970/14090]	Time 0.746 (0.750)	Data 0.002 (0.002)	Loss 2.3543 (2.2442)	Prec@1 42.969 (43.836)	Prec@5 72.656 (74.421)
Epoch: [31][8980/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 2.2901 (2.2442)	Prec@1 46.875 (43.835)	Prec@5 74.219 (74.420)
Epoch: [31][8990/14090]	Time 0.744 (0.750)	Data 0.001 (0.002)	Loss 2.4499 (2.2443)	Prec@1 42.969 (43.833)	Prec@5 71.875 (74.419)
Epoch: [31][9000/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 2.2043 (2.2443)	Prec@1 37.500 (43.832)	Prec@5 76.562 (74.419)
Epoch: [31][9010/14090]	Time 0.739 (0.750)	Data 0.001 (0.002)	Loss 2.1482 (2.2443)	Prec@1 46.094 (43.833)	Prec@5 77.344 (74.418)
Epoch: [31][9020/14090]	Time 0.737 (0.750)	Data 0.001 (0.002)	Loss 2.3018 (2.2442)	Prec@1 41.406 (43.833)	Prec@5 68.750 (74.418)
Epoch: [31][9030/14090]	Time 0.728 (0.750)	Data 0.001 (0.002)	Loss 2.4255 (2.2443)	Prec@1 39.062 (43.833)	Prec@5 71.875 (74.417)
Epoch: [31][9040/14090]	Time 0.742 (0.750)	Data 0.002 (0.002)	Loss 2.5647 (2.2444)	Prec@1 41.406 (43.832)	Prec@5 66.406 (74.416)
Epoch: [31][9050/14090]	Time 0.737 (0.750)	Data 0.001 (0.002)	Loss 2.2777 (2.2444)	Prec@1 42.969 (43.830)	Prec@5 77.344 (74.416)
Epoch: [31][9060/14090]	Time 0.778 (0.750)	Data 0.001 (0.002)	Loss 2.2394 (2.2444)	Prec@1 42.188 (43.831)	Prec@5 78.906 (74.418)
Epoch: [31][9070/14090]	Time 0.760 (0.750)	Data 0.001 (0.002)	Loss 2.5002 (2.2445)	Prec@1 39.062 (43.828)	Prec@5 71.094 (74.416)
Epoch: [31][9080/14090]	Time 0.725 (0.750)	Data 0.001 (0.002)	Loss 2.1558 (2.2445)	Prec@1 46.875 (43.826)	Prec@5 73.438 (74.417)
Epoch: [31][9090/14090]	Time 0.756 (0.750)	Data 0.001 (0.002)	Loss 2.1135 (2.2446)	Prec@1 45.312 (43.826)	Prec@5 77.344 (74.416)
Epoch: [31][9100/14090]	Time 0.744 (0.750)	Data 0.001 (0.002)	Loss 2.3090 (2.2446)	Prec@1 39.844 (43.823)	Prec@5 72.656 (74.415)
Epoch: [31][9110/14090]	Time 0.748 (0.750)	Data 0.002 (0.002)	Loss 2.3391 (2.2447)	Prec@1 45.312 (43.822)	Prec@5 76.562 (74.414)
Epoch: [31][9120/14090]	Time 0.772 (0.750)	Data 0.001 (0.002)	Loss 2.1024 (2.2447)	Prec@1 46.875 (43.821)	Prec@5 71.875 (74.411)
Epoch: [31][9130/14090]	Time 0.738 (0.750)	Data 0.001 (0.002)	Loss 2.3022 (2.2448)	Prec@1 46.094 (43.821)	Prec@5 73.438 (74.411)
Epoch: [31][9140/14090]	Time 0.761 (0.750)	Data 0.001 (0.002)	Loss 1.9353 (2.2449)	Prec@1 46.875 (43.821)	Prec@5 79.688 (74.409)
Epoch: [31][9150/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 2.2540 (2.2449)	Prec@1 37.500 (43.821)	Prec@5 75.781 (74.408)
Epoch: [31][9160/14090]	Time 0.732 (0.750)	Data 0.001 (0.002)	Loss 2.0345 (2.2448)	Prec@1 44.531 (43.822)	Prec@5 77.344 (74.409)
Epoch: [31][9170/14090]	Time 0.727 (0.750)	Data 0.001 (0.002)	Loss 2.2629 (2.2447)	Prec@1 43.750 (43.825)	Prec@5 78.125 (74.414)
Epoch: [31][9180/14090]	Time 0.756 (0.750)	Data 0.002 (0.002)	Loss 2.3416 (2.2446)	Prec@1 42.969 (43.826)	Prec@5 70.312 (74.411)
Epoch: [31][9190/14090]	Time 0.745 (0.750)	Data 0.001 (0.002)	Loss 2.0670 (2.2446)	Prec@1 46.875 (43.824)	Prec@5 79.688 (74.412)
Epoch: [31][9200/14090]	Time 0.790 (0.750)	Data 0.002 (0.002)	Loss 2.2488 (2.2446)	Prec@1 43.750 (43.825)	Prec@5 78.906 (74.411)
Epoch: [31][9210/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 2.4045 (2.2445)	Prec@1 38.281 (43.826)	Prec@5 67.188 (74.412)
Epoch: [31][9220/14090]	Time 0.742 (0.750)	Data 0.001 (0.002)	Loss 2.4569 (2.2445)	Prec@1 38.281 (43.827)	Prec@5 68.750 (74.411)
Epoch: [31][9230/14090]	Time 0.759 (0.750)	Data 0.001 (0.002)	Loss 2.0903 (2.2446)	Prec@1 43.750 (43.825)	Prec@5 78.906 (74.412)
Epoch: [31][9240/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 2.0795 (2.2446)	Prec@1 45.312 (43.824)	Prec@5 79.688 (74.410)
Epoch: [31][9250/14090]	Time 0.778 (0.750)	Data 0.002 (0.002)	Loss 2.2994 (2.2447)	Prec@1 43.750 (43.823)	Prec@5 75.781 (74.408)
Epoch: [31][9260/14090]	Time 0.748 (0.750)	Data 0.001 (0.002)	Loss 2.2875 (2.2447)	Prec@1 50.000 (43.824)	Prec@5 75.000 (74.408)
Epoch: [31][9270/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 2.2400 (2.2446)	Prec@1 44.531 (43.824)	Prec@5 74.219 (74.409)
Epoch: [31][9280/14090]	Time 0.746 (0.750)	Data 0.001 (0.002)	Loss 2.2397 (2.2446)	Prec@1 46.094 (43.825)	Prec@5 75.000 (74.410)
Epoch: [31][9290/14090]	Time 0.741 (0.750)	Data 0.001 (0.002)	Loss 2.3076 (2.2446)	Prec@1 45.312 (43.824)	Prec@5 73.438 (74.409)
Epoch: [31][9300/14090]	Time 0.734 (0.750)	Data 0.001 (0.002)	Loss 2.4769 (2.2447)	Prec@1 35.156 (43.822)	Prec@5 71.094 (74.407)
Epoch: [31][9310/14090]	Time 0.757 (0.750)	Data 0.001 (0.002)	Loss 2.0897 (2.2446)	Prec@1 49.219 (43.824)	Prec@5 72.656 (74.409)
Epoch: [31][9320/14090]	Time 0.763 (0.750)	Data 0.002 (0.002)	Loss 2.2350 (2.2445)	Prec@1 44.531 (43.826)	Prec@5 72.656 (74.410)
Epoch: [31][9330/14090]	Time 0.765 (0.750)	Data 0.001 (0.002)	Loss 2.1772 (2.2445)	Prec@1 47.656 (43.827)	Prec@5 75.000 (74.410)
Epoch: [31][9340/14090]	Time 0.754 (0.750)	Data 0.001 (0.002)	Loss 2.1476 (2.2444)	Prec@1 46.094 (43.829)	Prec@5 75.781 (74.412)
Epoch: [31][9350/14090]	Time 0.734 (0.750)	Data 0.003 (0.002)	Loss 2.2229 (2.2444)	Prec@1 45.312 (43.829)	Prec@5 69.531 (74.412)
Epoch: [31][9360/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 2.4044 (2.2444)	Prec@1 41.406 (43.829)	Prec@5 69.531 (74.413)
Epoch: [31][9370/14090]	Time 0.757 (0.750)	Data 0.001 (0.002)	Loss 2.1801 (2.2444)	Prec@1 45.312 (43.828)	Prec@5 76.562 (74.411)
Epoch: [31][9380/14090]	Time 0.740 (0.750)	Data 0.001 (0.002)	Loss 2.2170 (2.2444)	Prec@1 47.656 (43.832)	Prec@5 71.875 (74.412)
Epoch: [31][9390/14090]	Time 0.759 (0.750)	Data 0.002 (0.002)	Loss 2.5180 (2.2443)	Prec@1 37.500 (43.833)	Prec@5 67.188 (74.412)
Epoch: [31][9400/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 2.3679 (2.2444)	Prec@1 38.281 (43.832)	Prec@5 75.781 (74.410)
Epoch: [31][9410/14090]	Time 0.780 (0.750)	Data 0.001 (0.002)	Loss 2.1732 (2.2444)	Prec@1 45.312 (43.833)	Prec@5 76.562 (74.411)
Epoch: [31][9420/14090]	Time 0.717 (0.750)	Data 0.001 (0.002)	Loss 2.5001 (2.2444)	Prec@1 39.062 (43.833)	Prec@5 70.312 (74.410)
Epoch: [31][9430/14090]	Time 0.768 (0.750)	Data 0.001 (0.002)	Loss 2.1335 (2.2444)	Prec@1 48.438 (43.834)	Prec@5 77.344 (74.412)
Epoch: [31][9440/14090]	Time 0.756 (0.750)	Data 0.001 (0.002)	Loss 1.9523 (2.2444)	Prec@1 46.094 (43.832)	Prec@5 82.812 (74.412)
Epoch: [31][9450/14090]	Time 0.730 (0.750)	Data 0.001 (0.002)	Loss 1.7744 (2.2443)	Prec@1 55.469 (43.832)	Prec@5 84.375 (74.413)
Epoch: [31][9460/14090]	Time 0.757 (0.750)	Data 0.003 (0.002)	Loss 2.0681 (2.2443)	Prec@1 45.312 (43.833)	Prec@5 77.344 (74.413)
Epoch: [31][9470/14090]	Time 0.763 (0.750)	Data 0.001 (0.002)	Loss 2.0530 (2.2444)	Prec@1 46.094 (43.830)	Prec@5 77.344 (74.413)
Epoch: [31][9480/14090]	Time 0.734 (0.750)	Data 0.001 (0.002)	Loss 2.1748 (2.2443)	Prec@1 43.750 (43.833)	Prec@5 78.125 (74.414)
Epoch: [31][9490/14090]	Time 0.718 (0.750)	Data 0.001 (0.002)	Loss 2.3967 (2.2443)	Prec@1 42.188 (43.834)	Prec@5 71.875 (74.413)
Epoch: [31][9500/14090]	Time 0.783 (0.750)	Data 0.001 (0.002)	Loss 2.6360 (2.2444)	Prec@1 33.594 (43.834)	Prec@5 66.406 (74.412)
Epoch: [31][9510/14090]	Time 0.745 (0.750)	Data 0.001 (0.002)	Loss 2.1786 (2.2445)	Prec@1 48.438 (43.833)	Prec@5 75.000 (74.411)
Epoch: [31][9520/14090]	Time 0.732 (0.750)	Data 0.001 (0.002)	Loss 2.3037 (2.2444)	Prec@1 46.875 (43.835)	Prec@5 76.562 (74.412)
Epoch: [31][9530/14090]	Time 0.740 (0.750)	Data 0.002 (0.002)	Loss 2.0266 (2.2443)	Prec@1 50.000 (43.838)	Prec@5 76.562 (74.415)
Epoch: [31][9540/14090]	Time 0.754 (0.750)	Data 0.001 (0.002)	Loss 2.0101 (2.2443)	Prec@1 50.781 (43.838)	Prec@5 79.688 (74.414)
Epoch: [31][9550/14090]	Time 0.734 (0.750)	Data 0.001 (0.002)	Loss 2.1786 (2.2443)	Prec@1 43.750 (43.838)	Prec@5 74.219 (74.414)
Epoch: [31][9560/14090]	Time 0.775 (0.750)	Data 0.001 (0.002)	Loss 2.0070 (2.2443)	Prec@1 57.812 (43.838)	Prec@5 79.688 (74.414)
Epoch: [31][9570/14090]	Time 0.746 (0.750)	Data 0.001 (0.002)	Loss 2.0282 (2.2443)	Prec@1 47.656 (43.838)	Prec@5 78.125 (74.414)
Epoch: [31][9580/14090]	Time 0.742 (0.750)	Data 0.001 (0.002)	Loss 2.3446 (2.2443)	Prec@1 42.188 (43.839)	Prec@5 75.000 (74.415)
Epoch: [31][9590/14090]	Time 0.777 (0.750)	Data 0.001 (0.002)	Loss 2.3295 (2.2443)	Prec@1 35.156 (43.836)	Prec@5 76.562 (74.414)
Epoch: [31][9600/14090]	Time 0.740 (0.750)	Data 0.004 (0.002)	Loss 2.0701 (2.2443)	Prec@1 51.562 (43.836)	Prec@5 78.125 (74.415)
Epoch: [31][9610/14090]	Time 0.733 (0.750)	Data 0.001 (0.002)	Loss 2.0250 (2.2442)	Prec@1 44.531 (43.836)	Prec@5 78.125 (74.417)
Epoch: [31][9620/14090]	Time 0.782 (0.750)	Data 0.001 (0.002)	Loss 2.3222 (2.2442)	Prec@1 46.875 (43.836)	Prec@5 73.438 (74.417)
Epoch: [31][9630/14090]	Time 0.757 (0.750)	Data 0.001 (0.002)	Loss 2.4444 (2.2443)	Prec@1 36.719 (43.836)	Prec@5 74.219 (74.416)
Epoch: [31][9640/14090]	Time 0.728 (0.750)	Data 0.001 (0.002)	Loss 2.1735 (2.2443)	Prec@1 44.531 (43.835)	Prec@5 81.250 (74.418)
Epoch: [31][9650/14090]	Time 0.740 (0.750)	Data 0.001 (0.002)	Loss 2.2912 (2.2443)	Prec@1 39.844 (43.835)	Prec@5 69.531 (74.418)
Epoch: [31][9660/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 2.4456 (2.2443)	Prec@1 35.938 (43.834)	Prec@5 71.875 (74.418)
Epoch: [31][9670/14090]	Time 0.773 (0.750)	Data 0.002 (0.002)	Loss 2.0997 (2.2444)	Prec@1 46.875 (43.834)	Prec@5 81.250 (74.417)
Epoch: [31][9680/14090]	Time 0.743 (0.750)	Data 0.001 (0.002)	Loss 2.4393 (2.2444)	Prec@1 35.938 (43.833)	Prec@5 66.406 (74.416)
Epoch: [31][9690/14090]	Time 0.747 (0.750)	Data 0.001 (0.002)	Loss 2.0487 (2.2443)	Prec@1 47.656 (43.833)	Prec@5 76.562 (74.417)
Epoch: [31][9700/14090]	Time 0.764 (0.750)	Data 0.001 (0.002)	Loss 1.9939 (2.2444)	Prec@1 48.438 (43.830)	Prec@5 76.562 (74.415)
Epoch: [31][9710/14090]	Time 0.739 (0.750)	Data 0.001 (0.002)	Loss 2.3396 (2.2444)	Prec@1 44.531 (43.831)	Prec@5 70.312 (74.416)
Epoch: [31][9720/14090]	Time 0.737 (0.750)	Data 0.001 (0.002)	Loss 2.3287 (2.2444)	Prec@1 40.625 (43.830)	Prec@5 73.438 (74.417)
Epoch: [31][9730/14090]	Time 0.751 (0.750)	Data 0.001 (0.002)	Loss 2.5077 (2.2444)	Prec@1 39.844 (43.831)	Prec@5 74.219 (74.418)
Epoch: [31][9740/14090]	Time 0.725 (0.750)	Data 0.002 (0.002)	Loss 2.3519 (2.2444)	Prec@1 39.844 (43.831)	Prec@5 74.219 (74.418)
Epoch: [31][9750/14090]	Time 0.741 (0.750)	Data 0.001 (0.002)	Loss 2.6219 (2.2445)	Prec@1 38.281 (43.830)	Prec@5 66.406 (74.417)
Epoch: [31][9760/14090]	Time 0.741 (0.750)	Data 0.001 (0.002)	Loss 2.4002 (2.2445)	Prec@1 46.094 (43.830)	Prec@5 69.531 (74.416)
Epoch: [31][9770/14090]	Time 0.755 (0.750)	Data 0.001 (0.002)	Loss 2.1032 (2.2445)	Prec@1 43.750 (43.832)	Prec@5 74.219 (74.416)
Epoch: [31][9780/14090]	Time 0.786 (0.750)	Data 0.001 (0.002)	Loss 2.1937 (2.2446)	Prec@1 46.875 (43.831)	Prec@5 75.781 (74.415)
Epoch: [31][9790/14090]	Time 0.759 (0.750)	Data 0.001 (0.002)	Loss 1.8721 (2.2445)	Prec@1 47.656 (43.832)	Prec@5 84.375 (74.418)
Epoch: [31][9800/14090]	Time 0.733 (0.750)	Data 0.001 (0.002)	Loss 2.5651 (2.2445)	Prec@1 37.500 (43.831)	Prec@5 67.969 (74.419)
Epoch: [31][9810/14090]	Time 0.734 (0.750)	Data 0.002 (0.001)	Loss 2.1918 (2.2445)	Prec@1 41.406 (43.831)	Prec@5 72.656 (74.419)
Epoch: [31][9820/14090]	Time 0.734 (0.750)	Data 0.001 (0.001)	Loss 2.3822 (2.2444)	Prec@1 39.844 (43.832)	Prec@5 74.219 (74.421)
Epoch: [31][9830/14090]	Time 0.736 (0.750)	Data 0.001 (0.001)	Loss 2.4221 (2.2445)	Prec@1 42.188 (43.832)	Prec@5 71.875 (74.419)
Epoch: [31][9840/14090]	Time 0.750 (0.750)	Data 0.001 (0.001)	Loss 2.4077 (2.2446)	Prec@1 43.750 (43.831)	Prec@5 66.406 (74.416)
Epoch: [31][9850/14090]	Time 0.736 (0.750)	Data 0.001 (0.001)	Loss 2.4238 (2.2446)	Prec@1 44.531 (43.831)	Prec@5 75.000 (74.416)
Epoch: [31][9860/14090]	Time 0.768 (0.750)	Data 0.001 (0.001)	Loss 2.4771 (2.2447)	Prec@1 40.625 (43.830)	Prec@5 70.312 (74.415)
Epoch: [31][9870/14090]	Time 0.728 (0.750)	Data 0.001 (0.001)	Loss 2.2368 (2.2447)	Prec@1 42.969 (43.829)	Prec@5 77.344 (74.412)
Epoch: [31][9880/14090]	Time 0.759 (0.750)	Data 0.002 (0.001)	Loss 2.3866 (2.2449)	Prec@1 40.625 (43.824)	Prec@5 78.125 (74.410)
Epoch: [31][9890/14090]	Time 0.759 (0.750)	Data 0.001 (0.001)	Loss 2.3064 (2.2448)	Prec@1 44.531 (43.825)	Prec@5 71.875 (74.411)
Epoch: [31][9900/14090]	Time 0.761 (0.750)	Data 0.001 (0.001)	Loss 2.2704 (2.2449)	Prec@1 43.750 (43.825)	Prec@5 73.438 (74.409)
Epoch: [31][9910/14090]	Time 0.770 (0.750)	Data 0.001 (0.001)	Loss 2.1314 (2.2448)	Prec@1 51.562 (43.826)	Prec@5 76.562 (74.411)
Epoch: [31][9920/14090]	Time 0.735 (0.750)	Data 0.002 (0.001)	Loss 2.2363 (2.2448)	Prec@1 40.625 (43.827)	Prec@5 77.344 (74.411)
Epoch: [31][9930/14090]	Time 0.747 (0.750)	Data 0.001 (0.001)	Loss 2.4035 (2.2448)	Prec@1 39.062 (43.825)	Prec@5 73.438 (74.412)
Epoch: [31][9940/14090]	Time 0.743 (0.750)	Data 0.001 (0.001)	Loss 2.1519 (2.2447)	Prec@1 42.188 (43.827)	Prec@5 76.562 (74.412)
Epoch: [31][9950/14090]	Time 0.758 (0.750)	Data 0.002 (0.001)	Loss 2.2734 (2.2447)	Prec@1 42.969 (43.828)	Prec@5 75.781 (74.411)
Epoch: [31][9960/14090]	Time 0.749 (0.750)	Data 0.001 (0.001)	Loss 2.4365 (2.2447)	Prec@1 32.031 (43.828)	Prec@5 68.750 (74.411)
Epoch: [31][9970/14090]	Time 0.741 (0.750)	Data 0.001 (0.001)	Loss 2.3926 (2.2446)	Prec@1 41.406 (43.829)	Prec@5 74.219 (74.412)
Epoch: [31][9980/14090]	Time 0.766 (0.750)	Data 0.001 (0.001)	Loss 2.4488 (2.2446)	Prec@1 35.938 (43.829)	Prec@5 71.875 (74.413)
Epoch: [31][9990/14090]	Time 0.754 (0.750)	Data 0.001 (0.001)	Loss 2.2110 (2.2447)	Prec@1 35.938 (43.826)	Prec@5 74.219 (74.410)
Epoch: [31][10000/14090]	Time 0.761 (0.750)	Data 0.001 (0.001)	Loss 2.3089 (2.2448)	Prec@1 43.750 (43.826)	Prec@5 77.344 (74.408)
Epoch: [31][10010/14090]	Time 0.733 (0.750)	Data 0.001 (0.001)	Loss 2.4587 (2.2447)	Prec@1 41.406 (43.827)	Prec@5 71.094 (74.408)
Epoch: [31][10020/14090]	Time 0.735 (0.750)	Data 0.002 (0.001)	Loss 2.2687 (2.2447)	Prec@1 46.875 (43.828)	Prec@5 74.219 (74.407)
Epoch: [31][10030/14090]	Time 0.740 (0.750)	Data 0.001 (0.001)	Loss 2.2714 (2.2447)	Prec@1 42.969 (43.830)	Prec@5 74.219 (74.407)
Epoch: [31][10040/14090]	Time 0.754 (0.750)	Data 0.001 (0.001)	Loss 2.2029 (2.2447)	Prec@1 50.781 (43.832)	Prec@5 73.438 (74.406)
Epoch: [31][10050/14090]	Time 0.745 (0.750)	Data 0.001 (0.001)	Loss 2.3477 (2.2448)	Prec@1 44.531 (43.829)	Prec@5 75.781 (74.404)
Epoch: [31][10060/14090]	Time 0.727 (0.750)	Data 0.001 (0.001)	Loss 2.4495 (2.2448)	Prec@1 39.844 (43.830)	Prec@5 74.219 (74.404)
Epoch: [31][10070/14090]	Time 0.764 (0.750)	Data 0.001 (0.001)	Loss 2.0876 (2.2447)	Prec@1 49.219 (43.832)	Prec@5 78.125 (74.404)
Epoch: [31][10080/14090]	Time 0.767 (0.750)	Data 0.001 (0.001)	Loss 2.1183 (2.2447)	Prec@1 41.406 (43.833)	Prec@5 77.344 (74.405)
Epoch: [31][10090/14090]	Time 0.729 (0.750)	Data 0.002 (0.001)	Loss 2.3472 (2.2447)	Prec@1 37.500 (43.831)	Prec@5 70.312 (74.404)
Epoch: [31][10100/14090]	Time 0.763 (0.750)	Data 0.002 (0.001)	Loss 2.1045 (2.2446)	Prec@1 46.094 (43.833)	Prec@5 76.562 (74.406)
Epoch: [31][10110/14090]	Time 0.734 (0.750)	Data 0.001 (0.001)	Loss 2.3520 (2.2447)	Prec@1 38.281 (43.831)	Prec@5 76.562 (74.405)
Epoch: [31][10120/14090]	Time 0.743 (0.750)	Data 0.001 (0.001)	Loss 2.1973 (2.2447)	Prec@1 40.625 (43.829)	Prec@5 75.000 (74.403)
Epoch: [31][10130/14090]	Time 0.784 (0.750)	Data 0.001 (0.001)	Loss 2.5644 (2.2448)	Prec@1 38.281 (43.828)	Prec@5 70.312 (74.403)
Epoch: [31][10140/14090]	Time 0.730 (0.750)	Data 0.001 (0.001)	Loss 2.2218 (2.2447)	Prec@1 46.875 (43.828)	Prec@5 75.781 (74.404)
Epoch: [31][10150/14090]	Time 0.755 (0.750)	Data 0.001 (0.001)	Loss 2.5683 (2.2449)	Prec@1 41.406 (43.827)	Prec@5 63.281 (74.401)
Epoch: [31][10160/14090]	Time 0.757 (0.750)	Data 0.002 (0.001)	Loss 2.4266 (2.2449)	Prec@1 38.281 (43.825)	Prec@5 70.312 (74.400)
Epoch: [31][10170/14090]	Time 0.753 (0.750)	Data 0.001 (0.001)	Loss 2.5083 (2.2450)	Prec@1 43.750 (43.825)	Prec@5 67.969 (74.400)
Epoch: [31][10180/14090]	Time 0.733 (0.750)	Data 0.001 (0.001)	Loss 2.1596 (2.2450)	Prec@1 46.094 (43.825)	Prec@5 75.000 (74.398)
Epoch: [31][10190/14090]	Time 0.767 (0.750)	Data 0.001 (0.001)	Loss 2.3527 (2.2450)	Prec@1 37.500 (43.824)	Prec@5 73.438 (74.398)
Epoch: [31][10200/14090]	Time 0.758 (0.750)	Data 0.003 (0.001)	Loss 2.1282 (2.2449)	Prec@1 46.875 (43.826)	Prec@5 76.562 (74.399)
Epoch: [31][10210/14090]	Time 0.738 (0.750)	Data 0.001 (0.001)	Loss 2.3379 (2.2449)	Prec@1 43.750 (43.829)	Prec@5 71.875 (74.400)
Epoch: [31][10220/14090]	Time 0.752 (0.750)	Data 0.001 (0.001)	Loss 2.2942 (2.2450)	Prec@1 45.312 (43.830)	Prec@5 75.781 (74.398)
Epoch: [31][10230/14090]	Time 0.753 (0.750)	Data 0.002 (0.001)	Loss 2.5768 (2.2450)	Prec@1 41.406 (43.830)	Prec@5 68.750 (74.398)
Epoch: [31][10240/14090]	Time 0.728 (0.750)	Data 0.001 (0.001)	Loss 2.0426 (2.2450)	Prec@1 45.312 (43.831)	Prec@5 76.562 (74.399)
Epoch: [31][10250/14090]	Time 0.737 (0.750)	Data 0.001 (0.001)	Loss 2.1252 (2.2449)	Prec@1 46.094 (43.833)	Prec@5 75.781 (74.400)
Epoch: [31][10260/14090]	Time 0.751 (0.750)	Data 0.001 (0.001)	Loss 2.1195 (2.2449)	Prec@1 43.750 (43.834)	Prec@5 77.344 (74.401)
Epoch: [31][10270/14090]	Time 0.756 (0.750)	Data 0.001 (0.001)	Loss 2.4274 (2.2450)	Prec@1 37.500 (43.833)	Prec@5 74.219 (74.399)
Epoch: [31][10280/14090]	Time 0.758 (0.750)	Data 0.001 (0.001)	Loss 2.3326 (2.2450)	Prec@1 43.750 (43.833)	Prec@5 72.656 (74.398)
Epoch: [31][10290/14090]	Time 0.748 (0.750)	Data 0.001 (0.001)	Loss 2.1797 (2.2450)	Prec@1 40.625 (43.831)	Prec@5 75.000 (74.397)
Epoch: [31][10300/14090]	Time 0.774 (0.750)	Data 0.002 (0.001)	Loss 2.2302 (2.2450)	Prec@1 46.094 (43.832)	Prec@5 71.094 (74.398)
Epoch: [31][10310/14090]	Time 0.775 (0.750)	Data 0.001 (0.001)	Loss 2.1269 (2.2450)	Prec@1 39.062 (43.832)	Prec@5 71.875 (74.398)
Epoch: [31][10320/14090]	Time 0.745 (0.750)	Data 0.001 (0.001)	Loss 2.3762 (2.2450)	Prec@1 42.969 (43.831)	Prec@5 77.344 (74.398)
Epoch: [31][10330/14090]	Time 0.772 (0.750)	Data 0.002 (0.001)	Loss 2.1770 (2.2451)	Prec@1 41.406 (43.829)	Prec@5 78.125 (74.396)
Epoch: [31][10340/14090]	Time 0.736 (0.750)	Data 0.001 (0.001)	Loss 2.4368 (2.2452)	Prec@1 43.750 (43.829)	Prec@5 72.656 (74.395)
Epoch: [31][10350/14090]	Time 0.764 (0.750)	Data 0.001 (0.001)	Loss 2.3411 (2.2451)	Prec@1 40.625 (43.830)	Prec@5 74.219 (74.396)
Epoch: [31][10360/14090]	Time 0.751 (0.750)	Data 0.001 (0.001)	Loss 2.3649 (2.2451)	Prec@1 40.625 (43.828)	Prec@5 75.781 (74.396)
Epoch: [31][10370/14090]	Time 0.780 (0.750)	Data 0.002 (0.001)	Loss 2.1299 (2.2450)	Prec@1 44.531 (43.828)	Prec@5 75.781 (74.398)
Epoch: [31][10380/14090]	Time 0.767 (0.750)	Data 0.001 (0.001)	Loss 2.4056 (2.2451)	Prec@1 43.750 (43.829)	Prec@5 71.875 (74.397)
Epoch: [31][10390/14090]	Time 0.725 (0.750)	Data 0.001 (0.001)	Loss 2.2669 (2.2451)	Prec@1 45.312 (43.829)	Prec@5 74.219 (74.395)
Epoch: [31][10400/14090]	Time 0.760 (0.750)	Data 0.001 (0.001)	Loss 1.9521 (2.2451)	Prec@1 53.906 (43.830)	Prec@5 80.469 (74.394)
Epoch: [31][10410/14090]	Time 0.744 (0.750)	Data 0.001 (0.001)	Loss 2.0263 (2.2451)	Prec@1 46.875 (43.830)	Prec@5 78.125 (74.395)
Epoch: [31][10420/14090]	Time 0.760 (0.750)	Data 0.001 (0.001)	Loss 2.3162 (2.2450)	Prec@1 44.531 (43.832)	Prec@5 72.656 (74.398)
Epoch: [31][10430/14090]	Time 0.735 (0.750)	Data 0.001 (0.001)	Loss 2.3756 (2.2451)	Prec@1 39.844 (43.830)	Prec@5 76.562 (74.398)
Epoch: [31][10440/14090]	Time 0.753 (0.750)	Data 0.002 (0.001)	Loss 2.5476 (2.2452)	Prec@1 39.062 (43.829)	Prec@5 66.406 (74.396)
Epoch: [31][10450/14090]	Time 0.776 (0.750)	Data 0.001 (0.001)	Loss 2.3181 (2.2452)	Prec@1 49.219 (43.830)	Prec@5 74.219 (74.397)
Epoch: [31][10460/14090]	Time 0.759 (0.750)	Data 0.002 (0.001)	Loss 2.0793 (2.2452)	Prec@1 53.125 (43.828)	Prec@5 76.562 (74.397)
Epoch: [31][10470/14090]	Time 0.749 (0.750)	Data 0.001 (0.001)	Loss 2.4337 (2.2452)	Prec@1 33.594 (43.828)	Prec@5 68.750 (74.397)
Epoch: [31][10480/14090]	Time 0.739 (0.750)	Data 0.001 (0.001)	Loss 2.3188 (2.2452)	Prec@1 48.438 (43.828)	Prec@5 74.219 (74.398)
Epoch: [31][10490/14090]	Time 0.744 (0.750)	Data 0.001 (0.001)	Loss 2.3121 (2.2452)	Prec@1 44.531 (43.831)	Prec@5 70.312 (74.397)
Epoch: [31][10500/14090]	Time 0.760 (0.750)	Data 0.001 (0.001)	Loss 2.0592 (2.2452)	Prec@1 42.969 (43.830)	Prec@5 76.562 (74.396)
Epoch: [31][10510/14090]	Time 0.734 (0.750)	Data 0.002 (0.001)	Loss 2.0070 (2.2452)	Prec@1 49.219 (43.830)	Prec@5 78.906 (74.396)
Epoch: [31][10520/14090]	Time 0.763 (0.750)	Data 0.001 (0.001)	Loss 2.1041 (2.2451)	Prec@1 49.219 (43.833)	Prec@5 75.781 (74.398)
Epoch: [31][10530/14090]	Time 0.786 (0.750)	Data 0.001 (0.001)	Loss 2.2069 (2.2451)	Prec@1 53.906 (43.836)	Prec@5 75.000 (74.397)
Epoch: [31][10540/14090]	Time 0.739 (0.750)	Data 0.001 (0.001)	Loss 2.3571 (2.2450)	Prec@1 36.719 (43.837)	Prec@5 75.000 (74.399)
Epoch: [31][10550/14090]	Time 0.766 (0.750)	Data 0.001 (0.001)	Loss 2.0741 (2.2450)	Prec@1 50.781 (43.838)	Prec@5 78.906 (74.398)
Epoch: [31][10560/14090]	Time 0.728 (0.750)	Data 0.001 (0.001)	Loss 2.8035 (2.2450)	Prec@1 36.719 (43.839)	Prec@5 60.938 (74.399)
Epoch: [31][10570/14090]	Time 0.736 (0.750)	Data 0.001 (0.001)	Loss 2.0387 (2.2450)	Prec@1 44.531 (43.839)	Prec@5 76.562 (74.398)
Epoch: [31][10580/14090]	Time 0.735 (0.750)	Data 0.002 (0.001)	Loss 2.2285 (2.2450)	Prec@1 42.969 (43.839)	Prec@5 73.438 (74.396)
Epoch: [31][10590/14090]	Time 0.734 (0.750)	Data 0.001 (0.001)	Loss 2.1882 (2.2449)	Prec@1 43.750 (43.839)	Prec@5 76.562 (74.398)
Epoch: [31][10600/14090]	Time 0.752 (0.750)	Data 0.001 (0.001)	Loss 2.4383 (2.2449)	Prec@1 36.719 (43.841)	Prec@5 68.750 (74.397)
Epoch: [31][10610/14090]	Time 0.745 (0.750)	Data 0.001 (0.001)	Loss 2.1013 (2.2449)	Prec@1 45.312 (43.842)	Prec@5 76.562 (74.397)
Epoch: [31][10620/14090]	Time 0.748 (0.750)	Data 0.001 (0.001)	Loss 2.2699 (2.2449)	Prec@1 46.875 (43.842)	Prec@5 74.219 (74.396)
Epoch: [31][10630/14090]	Time 0.728 (0.750)	Data 0.001 (0.001)	Loss 2.2013 (2.2449)	Prec@1 42.969 (43.841)	Prec@5 81.250 (74.396)
Epoch: [31][10640/14090]	Time 0.738 (0.750)	Data 0.001 (0.001)	Loss 1.8991 (2.2449)	Prec@1 48.438 (43.843)	Prec@5 78.125 (74.398)
Epoch: [31][10650/14090]	Time 0.742 (0.750)	Data 0.002 (0.001)	Loss 2.6220 (2.2448)	Prec@1 33.594 (43.844)	Prec@5 65.625 (74.398)
Epoch: [31][10660/14090]	Time 0.748 (0.750)	Data 0.001 (0.001)	Loss 2.0778 (2.2448)	Prec@1 47.656 (43.845)	Prec@5 76.562 (74.399)
Epoch: [31][10670/14090]	Time 0.763 (0.750)	Data 0.001 (0.001)	Loss 2.4093 (2.2448)	Prec@1 43.750 (43.845)	Prec@5 72.656 (74.399)
Epoch: [31][10680/14090]	Time 0.743 (0.750)	Data 0.001 (0.001)	Loss 2.1113 (2.2448)	Prec@1 45.312 (43.845)	Prec@5 77.344 (74.399)
Epoch: [31][10690/14090]	Time 0.751 (0.750)	Data 0.001 (0.001)	Loss 2.2174 (2.2448)	Prec@1 46.094 (43.844)	Prec@5 78.906 (74.398)
Epoch: [31][10700/14090]	Time 0.750 (0.750)	Data 0.001 (0.001)	Loss 2.3187 (2.2448)	Prec@1 40.625 (43.844)	Prec@5 75.781 (74.398)
Epoch: [31][10710/14090]	Time 0.764 (0.750)	Data 0.001 (0.001)	Loss 2.5549 (2.2449)	Prec@1 32.812 (43.844)	Prec@5 70.312 (74.398)
Epoch: [31][10720/14090]	Time 0.737 (0.750)	Data 0.002 (0.001)	Loss 2.4195 (2.2449)	Prec@1 34.375 (43.843)	Prec@5 73.438 (74.398)
Epoch: [31][10730/14090]	Time 0.755 (0.750)	Data 0.001 (0.001)	Loss 2.1000 (2.2449)	Prec@1 44.531 (43.844)	Prec@5 74.219 (74.399)
Epoch: [31][10740/14090]	Time 0.771 (0.750)	Data 0.001 (0.001)	Loss 2.0937 (2.2449)	Prec@1 45.312 (43.844)	Prec@5 78.906 (74.398)
Epoch: [31][10750/14090]	Time 0.758 (0.750)	Data 0.001 (0.001)	Loss 2.4762 (2.2449)	Prec@1 46.094 (43.846)	Prec@5 69.531 (74.397)
Epoch: [31][10760/14090]	Time 0.730 (0.750)	Data 0.001 (0.001)	Loss 2.0031 (2.2449)	Prec@1 42.188 (43.846)	Prec@5 76.562 (74.398)
Epoch: [31][10770/14090]	Time 0.755 (0.750)	Data 0.001 (0.001)	Loss 2.1333 (2.2449)	Prec@1 45.312 (43.844)	Prec@5 74.219 (74.398)
Epoch: [31][10780/14090]	Time 0.761 (0.750)	Data 0.001 (0.001)	Loss 2.2691 (2.2450)	Prec@1 45.312 (43.844)	Prec@5 71.875 (74.397)
Epoch: [31][10790/14090]	Time 0.726 (0.750)	Data 0.002 (0.001)	Loss 2.3621 (2.2449)	Prec@1 44.531 (43.845)	Prec@5 70.312 (74.397)
Epoch: [31][10800/14090]	Time 0.776 (0.750)	Data 0.001 (0.001)	Loss 2.2691 (2.2449)	Prec@1 41.406 (43.846)	Prec@5 68.750 (74.397)
Epoch: [31][10810/14090]	Time 0.737 (0.750)	Data 0.001 (0.001)	Loss 2.5560 (2.2449)	Prec@1 37.500 (43.847)	Prec@5 65.625 (74.397)
Epoch: [31][10820/14090]	Time 0.737 (0.750)	Data 0.001 (0.001)	Loss 1.9991 (2.2449)	Prec@1 50.000 (43.848)	Prec@5 78.125 (74.399)
Epoch: [31][10830/14090]	Time 0.787 (0.750)	Data 0.001 (0.001)	Loss 2.1227 (2.2449)	Prec@1 52.344 (43.848)	Prec@5 76.562 (74.397)
Epoch: [31][10840/14090]	Time 0.741 (0.750)	Data 0.001 (0.001)	Loss 2.4299 (2.2449)	Prec@1 39.062 (43.848)	Prec@5 74.219 (74.397)
Epoch: [31][10850/14090]	Time 0.759 (0.750)	Data 0.001 (0.001)	Loss 1.7559 (2.2449)	Prec@1 46.875 (43.846)	Prec@5 85.156 (74.396)
Epoch: [31][10860/14090]	Time 0.743 (0.750)	Data 0.002 (0.001)	Loss 2.0201 (2.2450)	Prec@1 46.094 (43.845)	Prec@5 81.250 (74.396)
Epoch: [31][10870/14090]	Time 0.761 (0.750)	Data 0.001 (0.001)	Loss 2.2157 (2.2449)	Prec@1 43.750 (43.847)	Prec@5 77.344 (74.400)
Epoch: [31][10880/14090]	Time 0.730 (0.750)	Data 0.001 (0.001)	Loss 2.0411 (2.2449)	Prec@1 43.750 (43.847)	Prec@5 77.344 (74.398)
Epoch: [31][10890/14090]	Time 0.760 (0.750)	Data 0.001 (0.001)	Loss 2.3050 (2.2449)	Prec@1 42.188 (43.847)	Prec@5 71.094 (74.399)
Epoch: [31][10900/14090]	Time 0.788 (0.750)	Data 0.001 (0.001)	Loss 2.2943 (2.2450)	Prec@1 35.938 (43.844)	Prec@5 75.781 (74.398)
Epoch: [31][10910/14090]	Time 0.764 (0.750)	Data 0.001 (0.001)	Loss 2.5496 (2.2451)	Prec@1 38.281 (43.842)	Prec@5 73.438 (74.396)
Epoch: [31][10920/14090]	Time 0.751 (0.750)	Data 0.001 (0.001)	Loss 2.2304 (2.2451)	Prec@1 45.312 (43.843)	Prec@5 78.906 (74.397)
Epoch: [31][10930/14090]	Time 0.755 (0.750)	Data 0.002 (0.001)	Loss 2.3020 (2.2451)	Prec@1 41.406 (43.841)	Prec@5 72.656 (74.396)
Epoch: [31][10940/14090]	Time 0.724 (0.750)	Data 0.001 (0.001)	Loss 2.3241 (2.2449)	Prec@1 49.219 (43.844)	Prec@5 71.094 (74.400)
Epoch: [31][10950/14090]	Time 0.781 (0.750)	Data 0.001 (0.001)	Loss 2.4100 (2.2449)	Prec@1 39.062 (43.842)	Prec@5 70.312 (74.400)
Epoch: [31][10960/14090]	Time 0.756 (0.750)	Data 0.001 (0.001)	Loss 2.3292 (2.2450)	Prec@1 46.875 (43.841)	Prec@5 71.875 (74.399)
Epoch: [31][10970/14090]	Time 0.759 (0.750)	Data 0.001 (0.001)	Loss 2.1256 (2.2449)	Prec@1 42.188 (43.843)	Prec@5 79.688 (74.400)
Epoch: [31][10980/14090]	Time 0.731 (0.750)	Data 0.001 (0.001)	Loss 2.3065 (2.2449)	Prec@1 48.438 (43.844)	Prec@5 72.656 (74.402)
Epoch: [31][10990/14090]	Time 0.779 (0.750)	Data 0.001 (0.001)	Loss 2.2267 (2.2449)	Prec@1 41.406 (43.844)	Prec@5 76.562 (74.402)
Epoch: [31][11000/14090]	Time 0.758 (0.750)	Data 0.003 (0.001)	Loss 2.2677 (2.2448)	Prec@1 48.438 (43.845)	Prec@5 72.656 (74.402)
Epoch: [31][11010/14090]	Time 0.721 (0.750)	Data 0.001 (0.001)	Loss 2.4004 (2.2449)	Prec@1 43.750 (43.844)	Prec@5 71.875 (74.401)
Epoch: [31][11020/14090]	Time 0.746 (0.750)	Data 0.001 (0.001)	Loss 2.3530 (2.2449)	Prec@1 43.750 (43.844)	Prec@5 69.531 (74.401)
Epoch: [31][11030/14090]	Time 0.750 (0.750)	Data 0.001 (0.001)	Loss 2.2818 (2.2450)	Prec@1 49.219 (43.844)	Prec@5 71.875 (74.400)
Epoch: [31][11040/14090]	Time 0.782 (0.750)	Data 0.001 (0.001)	Loss 2.2193 (2.2450)	Prec@1 41.406 (43.844)	Prec@5 76.562 (74.399)
Epoch: [31][11050/14090]	Time 0.735 (0.750)	Data 0.001 (0.001)	Loss 2.2972 (2.2450)	Prec@1 41.406 (43.845)	Prec@5 70.312 (74.399)
Epoch: [31][11060/14090]	Time 0.757 (0.750)	Data 0.001 (0.001)	Loss 2.2807 (2.2450)	Prec@1 47.656 (43.844)	Prec@5 75.000 (74.399)
Epoch: [31][11070/14090]	Time 0.741 (0.750)	Data 0.002 (0.001)	Loss 2.4090 (2.2450)	Prec@1 39.062 (43.843)	Prec@5 74.219 (74.398)
Epoch: [31][11080/14090]	Time 0.751 (0.750)	Data 0.001 (0.001)	Loss 2.1953 (2.2450)	Prec@1 46.094 (43.845)	Prec@5 75.000 (74.398)
Epoch: [31][11090/14090]	Time 0.756 (0.750)	Data 0.001 (0.001)	Loss 2.1375 (2.2449)	Prec@1 44.531 (43.845)	Prec@5 78.906 (74.399)
Epoch: [31][11100/14090]	Time 0.748 (0.750)	Data 0.001 (0.001)	Loss 2.0554 (2.2449)	Prec@1 43.750 (43.844)	Prec@5 79.688 (74.398)
Epoch: [31][11110/14090]	Time 0.754 (0.750)	Data 0.001 (0.001)	Loss 2.1195 (2.2449)	Prec@1 47.656 (43.846)	Prec@5 75.000 (74.398)
Epoch: [31][11120/14090]	Time 0.761 (0.750)	Data 0.001 (0.001)	Loss 2.2609 (2.2450)	Prec@1 46.875 (43.846)	Prec@5 70.312 (74.395)
Epoch: [31][11130/14090]	Time 0.756 (0.750)	Data 0.001 (0.001)	Loss 2.0397 (2.2448)	Prec@1 51.562 (43.849)	Prec@5 79.688 (74.398)
Epoch: [31][11140/14090]	Time 0.739 (0.750)	Data 0.002 (0.001)	Loss 1.9050 (2.2448)	Prec@1 51.562 (43.849)	Prec@5 80.469 (74.400)
Epoch: [31][11150/14090]	Time 0.761 (0.750)	Data 0.001 (0.001)	Loss 1.9549 (2.2448)	Prec@1 49.219 (43.849)	Prec@5 78.906 (74.399)
Epoch: [31][11160/14090]	Time 0.743 (0.750)	Data 0.001 (0.001)	Loss 2.1241 (2.2447)	Prec@1 45.312 (43.848)	Prec@5 79.688 (74.400)
Epoch: [31][11170/14090]	Time 0.746 (0.750)	Data 0.001 (0.001)	Loss 2.4463 (2.2448)	Prec@1 35.938 (43.847)	Prec@5 71.875 (74.400)
Epoch: [31][11180/14090]	Time 0.750 (0.750)	Data 0.001 (0.001)	Loss 2.2921 (2.2448)	Prec@1 40.625 (43.845)	Prec@5 72.656 (74.399)
Epoch: [31][11190/14090]	Time 0.759 (0.750)	Data 0.001 (0.001)	Loss 2.5504 (2.2449)	Prec@1 38.281 (43.843)	Prec@5 67.969 (74.397)
Epoch: [31][11200/14090]	Time 0.726 (0.750)	Data 0.001 (0.001)	Loss 2.1450 (2.2449)	Prec@1 50.000 (43.843)	Prec@5 75.781 (74.397)
Epoch: [31][11210/14090]	Time 0.720 (0.750)	Data 0.002 (0.001)	Loss 2.2292 (2.2449)	Prec@1 43.750 (43.842)	Prec@5 75.000 (74.397)
Epoch: [31][11220/14090]	Time 0.743 (0.750)	Data 0.001 (0.001)	Loss 2.1346 (2.2449)	Prec@1 44.531 (43.845)	Prec@5 80.469 (74.399)
Epoch: [31][11230/14090]	Time 0.750 (0.750)	Data 0.001 (0.001)	Loss 2.3188 (2.2449)	Prec@1 36.719 (43.844)	Prec@5 79.688 (74.398)
Epoch: [31][11240/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 2.2683 (2.2449)	Prec@1 44.531 (43.843)	Prec@5 70.312 (74.398)
Epoch: [31][11250/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 2.5120 (2.2450)	Prec@1 40.625 (43.843)	Prec@5 62.500 (74.397)
Epoch: [31][11260/14090]	Time 0.766 (0.750)	Data 0.001 (0.001)	Loss 2.1798 (2.2450)	Prec@1 44.531 (43.843)	Prec@5 74.219 (74.395)
Epoch: [31][11270/14090]	Time 0.757 (0.750)	Data 0.001 (0.001)	Loss 2.4735 (2.2450)	Prec@1 35.938 (43.842)	Prec@5 73.438 (74.396)
Epoch: [31][11280/14090]	Time 0.737 (0.751)	Data 0.002 (0.001)	Loss 2.0874 (2.2450)	Prec@1 46.875 (43.842)	Prec@5 73.438 (74.396)
Epoch: [31][11290/14090]	Time 0.731 (0.750)	Data 0.001 (0.001)	Loss 2.3952 (2.2450)	Prec@1 42.188 (43.841)	Prec@5 71.875 (74.397)
Epoch: [31][11300/14090]	Time 0.730 (0.751)	Data 0.001 (0.001)	Loss 2.4094 (2.2450)	Prec@1 44.531 (43.840)	Prec@5 71.875 (74.396)
Epoch: [31][11310/14090]	Time 0.763 (0.750)	Data 0.001 (0.001)	Loss 2.4284 (2.2450)	Prec@1 42.969 (43.839)	Prec@5 74.219 (74.398)
Epoch: [31][11320/14090]	Time 0.747 (0.750)	Data 0.001 (0.001)	Loss 2.1397 (2.2450)	Prec@1 47.656 (43.838)	Prec@5 76.562 (74.398)
Epoch: [31][11330/14090]	Time 0.727 (0.750)	Data 0.001 (0.001)	Loss 2.3147 (2.2451)	Prec@1 45.312 (43.838)	Prec@5 75.000 (74.398)
Epoch: [31][11340/14090]	Time 0.756 (0.750)	Data 0.001 (0.001)	Loss 2.0224 (2.2451)	Prec@1 50.000 (43.836)	Prec@5 78.125 (74.398)
Epoch: [31][11350/14090]	Time 0.756 (0.750)	Data 0.002 (0.001)	Loss 2.2702 (2.2451)	Prec@1 46.875 (43.836)	Prec@5 76.562 (74.398)
Epoch: [31][11360/14090]	Time 0.766 (0.750)	Data 0.001 (0.001)	Loss 2.1508 (2.2452)	Prec@1 51.562 (43.837)	Prec@5 75.781 (74.396)
Epoch: [31][11370/14090]	Time 0.750 (0.750)	Data 0.001 (0.001)	Loss 2.2420 (2.2452)	Prec@1 42.969 (43.837)	Prec@5 77.344 (74.396)
Epoch: [31][11380/14090]	Time 0.753 (0.750)	Data 0.001 (0.001)	Loss 2.2212 (2.2453)	Prec@1 46.094 (43.836)	Prec@5 72.656 (74.394)
Epoch: [31][11390/14090]	Time 0.738 (0.750)	Data 0.001 (0.001)	Loss 1.9752 (2.2453)	Prec@1 46.875 (43.838)	Prec@5 79.688 (74.393)
Epoch: [31][11400/14090]	Time 0.765 (0.750)	Data 0.001 (0.001)	Loss 1.7810 (2.2452)	Prec@1 53.125 (43.838)	Prec@5 81.250 (74.393)
Epoch: [31][11410/14090]	Time 0.726 (0.750)	Data 0.001 (0.001)	Loss 2.3681 (2.2453)	Prec@1 39.062 (43.837)	Prec@5 67.188 (74.391)
Epoch: [31][11420/14090]	Time 0.729 (0.750)	Data 0.002 (0.001)	Loss 2.3376 (2.2454)	Prec@1 42.188 (43.837)	Prec@5 71.875 (74.390)
Epoch: [31][11430/14090]	Time 0.738 (0.750)	Data 0.001 (0.001)	Loss 2.7144 (2.2454)	Prec@1 34.375 (43.836)	Prec@5 65.625 (74.388)
Epoch: [31][11440/14090]	Time 0.754 (0.750)	Data 0.002 (0.001)	Loss 2.2809 (2.2454)	Prec@1 35.938 (43.834)	Prec@5 75.781 (74.389)
Epoch: [31][11450/14090]	Time 0.765 (0.750)	Data 0.001 (0.001)	Loss 1.9787 (2.2454)	Prec@1 50.000 (43.833)	Prec@5 81.250 (74.389)
Epoch: [31][11460/14090]	Time 0.751 (0.750)	Data 0.001 (0.001)	Loss 2.3753 (2.2454)	Prec@1 35.938 (43.833)	Prec@5 72.656 (74.389)
Epoch: [31][11470/14090]	Time 0.729 (0.750)	Data 0.001 (0.001)	Loss 2.4592 (2.2455)	Prec@1 40.625 (43.832)	Prec@5 65.625 (74.388)
Epoch: [31][11480/14090]	Time 0.760 (0.750)	Data 0.001 (0.001)	Loss 2.4124 (2.2454)	Prec@1 42.969 (43.833)	Prec@5 69.531 (74.389)
Epoch: [31][11490/14090]	Time 0.741 (0.750)	Data 0.002 (0.001)	Loss 2.0973 (2.2455)	Prec@1 46.094 (43.832)	Prec@5 78.125 (74.388)
Epoch: [31][11500/14090]	Time 0.767 (0.750)	Data 0.001 (0.001)	Loss 2.2933 (2.2455)	Prec@1 41.406 (43.830)	Prec@5 66.406 (74.387)
Epoch: [31][11510/14090]	Time 0.765 (0.750)	Data 0.001 (0.001)	Loss 2.3981 (2.2456)	Prec@1 41.406 (43.829)	Prec@5 67.969 (74.386)
Epoch: [31][11520/14090]	Time 0.737 (0.750)	Data 0.001 (0.001)	Loss 2.2054 (2.2456)	Prec@1 42.188 (43.830)	Prec@5 78.125 (74.385)
Epoch: [31][11530/14090]	Time 0.762 (0.750)	Data 0.001 (0.001)	Loss 2.1992 (2.2456)	Prec@1 41.406 (43.831)	Prec@5 77.344 (74.386)
Epoch: [31][11540/14090]	Time 0.745 (0.750)	Data 0.001 (0.001)	Loss 2.3686 (2.2455)	Prec@1 42.969 (43.832)	Prec@5 71.094 (74.388)
Epoch: [31][11550/14090]	Time 0.735 (0.750)	Data 0.001 (0.001)	Loss 2.4060 (2.2455)	Prec@1 42.969 (43.833)	Prec@5 72.656 (74.388)
Epoch: [31][11560/14090]	Time 0.741 (0.750)	Data 0.002 (0.001)	Loss 1.9064 (2.2455)	Prec@1 54.688 (43.833)	Prec@5 82.031 (74.390)
Epoch: [31][11570/14090]	Time 0.765 (0.750)	Data 0.001 (0.001)	Loss 2.3443 (2.2455)	Prec@1 39.062 (43.834)	Prec@5 71.875 (74.389)
Epoch: [31][11580/14090]	Time 0.733 (0.750)	Data 0.001 (0.001)	Loss 2.3256 (2.2455)	Prec@1 38.281 (43.832)	Prec@5 75.781 (74.388)
Epoch: [31][11590/14090]	Time 0.758 (0.750)	Data 0.001 (0.001)	Loss 2.1438 (2.2456)	Prec@1 40.625 (43.832)	Prec@5 81.250 (74.387)
Epoch: [31][11600/14090]	Time 0.731 (0.750)	Data 0.001 (0.001)	Loss 2.4907 (2.2456)	Prec@1 32.812 (43.832)	Prec@5 66.406 (74.386)
Epoch: [31][11610/14090]	Time 0.768 (0.750)	Data 0.001 (0.001)	Loss 2.2377 (2.2456)	Prec@1 39.844 (43.830)	Prec@5 74.219 (74.387)
Epoch: [31][11620/14090]	Time 0.729 (0.750)	Data 0.001 (0.001)	Loss 2.1118 (2.2455)	Prec@1 50.781 (43.831)	Prec@5 77.344 (74.387)
Epoch: [31][11630/14090]	Time 0.765 (0.750)	Data 0.002 (0.001)	Loss 2.4967 (2.2456)	Prec@1 39.062 (43.831)	Prec@5 71.094 (74.386)
Epoch: [31][11640/14090]	Time 0.777 (0.750)	Data 0.001 (0.001)	Loss 2.5531 (2.2457)	Prec@1 40.625 (43.830)	Prec@5 71.875 (74.384)
Epoch: [31][11650/14090]	Time 0.753 (0.750)	Data 0.001 (0.001)	Loss 2.5121 (2.2457)	Prec@1 42.969 (43.829)	Prec@5 72.656 (74.385)
Epoch: [31][11660/14090]	Time 0.730 (0.750)	Data 0.001 (0.001)	Loss 2.1416 (2.2457)	Prec@1 46.875 (43.828)	Prec@5 78.125 (74.384)
Epoch: [31][11670/14090]	Time 0.750 (0.750)	Data 0.001 (0.001)	Loss 2.3813 (2.2457)	Prec@1 46.094 (43.828)	Prec@5 69.531 (74.383)
Epoch: [31][11680/14090]	Time 0.755 (0.750)	Data 0.001 (0.001)	Loss 2.1693 (2.2456)	Prec@1 46.094 (43.829)	Prec@5 77.344 (74.384)
Epoch: [31][11690/14090]	Time 0.745 (0.750)	Data 0.001 (0.001)	Loss 2.2005 (2.2456)	Prec@1 45.312 (43.828)	Prec@5 72.656 (74.383)
Epoch: [31][11700/14090]	Time 0.730 (0.750)	Data 0.002 (0.001)	Loss 2.4210 (2.2456)	Prec@1 42.969 (43.830)	Prec@5 73.438 (74.385)
Epoch: [31][11710/14090]	Time 0.755 (0.750)	Data 0.001 (0.001)	Loss 2.4212 (2.2456)	Prec@1 41.406 (43.830)	Prec@5 73.438 (74.384)
Epoch: [31][11720/14090]	Time 0.763 (0.750)	Data 0.001 (0.001)	Loss 2.4146 (2.2457)	Prec@1 37.500 (43.829)	Prec@5 71.875 (74.384)
Epoch: [31][11730/14090]	Time 0.729 (0.750)	Data 0.001 (0.001)	Loss 2.3528 (2.2457)	Prec@1 41.406 (43.829)	Prec@5 73.438 (74.384)
Epoch: [31][11740/14090]	Time 0.740 (0.750)	Data 0.001 (0.001)	Loss 2.4588 (2.2457)	Prec@1 41.406 (43.829)	Prec@5 69.531 (74.384)
Epoch: [31][11750/14090]	Time 0.752 (0.750)	Data 0.001 (0.001)	Loss 2.5372 (2.2457)	Prec@1 32.812 (43.829)	Prec@5 69.531 (74.383)
Epoch: [31][11760/14090]	Time 0.759 (0.750)	Data 0.001 (0.001)	Loss 2.0970 (2.2457)	Prec@1 43.750 (43.828)	Prec@5 76.562 (74.384)
Epoch: [31][11770/14090]	Time 0.733 (0.750)	Data 0.002 (0.001)	Loss 2.1275 (2.2458)	Prec@1 46.875 (43.827)	Prec@5 75.781 (74.382)
Epoch: [31][11780/14090]	Time 0.772 (0.751)	Data 0.001 (0.001)	Loss 2.1822 (2.2458)	Prec@1 52.344 (43.826)	Prec@5 78.125 (74.383)
Epoch: [31][11790/14090]	Time 0.759 (0.751)	Data 0.001 (0.001)	Loss 2.4856 (2.2458)	Prec@1 42.188 (43.826)	Prec@5 68.750 (74.383)
Epoch: [31][11800/14090]	Time 0.760 (0.751)	Data 0.001 (0.001)	Loss 2.5355 (2.2458)	Prec@1 39.844 (43.824)	Prec@5 67.969 (74.383)
Epoch: [31][11810/14090]	Time 0.734 (0.751)	Data 0.001 (0.001)	Loss 2.4199 (2.2458)	Prec@1 41.406 (43.825)	Prec@5 73.438 (74.384)
Epoch: [31][11820/14090]	Time 0.761 (0.751)	Data 0.001 (0.001)	Loss 2.2042 (2.2458)	Prec@1 46.875 (43.824)	Prec@5 74.219 (74.383)
Epoch: [31][11830/14090]	Time 0.750 (0.750)	Data 0.001 (0.001)	Loss 2.2152 (2.2458)	Prec@1 43.750 (43.826)	Prec@5 75.000 (74.385)
Epoch: [31][11840/14090]	Time 0.749 (0.750)	Data 0.002 (0.001)	Loss 2.1631 (2.2458)	Prec@1 46.875 (43.826)	Prec@5 77.344 (74.385)
Epoch: [31][11850/14090]	Time 0.765 (0.751)	Data 0.001 (0.001)	Loss 2.2789 (2.2458)	Prec@1 40.625 (43.827)	Prec@5 75.781 (74.383)
Epoch: [31][11860/14090]	Time 0.740 (0.751)	Data 0.001 (0.001)	Loss 2.1870 (2.2459)	Prec@1 39.844 (43.826)	Prec@5 75.781 (74.382)
Epoch: [31][11870/14090]	Time 0.754 (0.750)	Data 0.001 (0.001)	Loss 2.1095 (2.2459)	Prec@1 46.094 (43.827)	Prec@5 80.469 (74.381)
Epoch: [31][11880/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 2.1492 (2.2458)	Prec@1 51.562 (43.830)	Prec@5 77.344 (74.384)
Epoch: [31][11890/14090]	Time 0.771 (0.751)	Data 0.001 (0.001)	Loss 2.0629 (2.2458)	Prec@1 47.656 (43.831)	Prec@5 75.781 (74.385)
Epoch: [31][11900/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 2.3412 (2.2458)	Prec@1 44.531 (43.830)	Prec@5 70.312 (74.385)
Epoch: [31][11910/14090]	Time 0.732 (0.751)	Data 0.002 (0.001)	Loss 2.5427 (2.2458)	Prec@1 37.500 (43.829)	Prec@5 71.094 (74.384)
Epoch: [31][11920/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 2.0007 (2.2458)	Prec@1 50.000 (43.830)	Prec@5 81.250 (74.385)
Epoch: [31][11930/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 2.0548 (2.2458)	Prec@1 45.312 (43.831)	Prec@5 78.125 (74.387)
Epoch: [31][11940/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 2.3888 (2.2458)	Prec@1 38.281 (43.829)	Prec@5 72.656 (74.385)
Epoch: [31][11950/14090]	Time 0.729 (0.751)	Data 0.002 (0.001)	Loss 2.4424 (2.2459)	Prec@1 42.188 (43.828)	Prec@5 66.406 (74.384)
Epoch: [31][11960/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 2.4029 (2.2459)	Prec@1 36.719 (43.827)	Prec@5 73.438 (74.384)
Epoch: [31][11970/14090]	Time 0.731 (0.751)	Data 0.001 (0.001)	Loss 2.2908 (2.2459)	Prec@1 42.969 (43.827)	Prec@5 75.000 (74.384)
Epoch: [31][11980/14090]	Time 0.769 (0.751)	Data 0.002 (0.001)	Loss 2.2016 (2.2459)	Prec@1 43.750 (43.828)	Prec@5 73.438 (74.385)
Epoch: [31][11990/14090]	Time 0.726 (0.751)	Data 0.001 (0.001)	Loss 1.9621 (2.2459)	Prec@1 51.562 (43.829)	Prec@5 79.688 (74.385)
Epoch: [31][12000/14090]	Time 0.741 (0.751)	Data 0.001 (0.001)	Loss 2.2985 (2.2459)	Prec@1 45.312 (43.829)	Prec@5 67.188 (74.384)
Epoch: [31][12010/14090]	Time 0.759 (0.751)	Data 0.001 (0.001)	Loss 2.3233 (2.2460)	Prec@1 42.969 (43.828)	Prec@5 73.438 (74.383)
Epoch: [31][12020/14090]	Time 0.739 (0.751)	Data 0.001 (0.001)	Loss 2.1826 (2.2460)	Prec@1 42.188 (43.828)	Prec@5 78.906 (74.382)
Epoch: [31][12030/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 2.0421 (2.2460)	Prec@1 47.656 (43.827)	Prec@5 80.469 (74.382)
Epoch: [31][12040/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 2.1095 (2.2460)	Prec@1 42.969 (43.827)	Prec@5 79.688 (74.382)
Epoch: [31][12050/14090]	Time 0.739 (0.751)	Data 0.002 (0.001)	Loss 2.2506 (2.2460)	Prec@1 42.969 (43.826)	Prec@5 76.562 (74.382)
Epoch: [31][12060/14090]	Time 0.720 (0.751)	Data 0.001 (0.001)	Loss 2.4151 (2.2460)	Prec@1 43.750 (43.828)	Prec@5 72.656 (74.382)
Epoch: [31][12070/14090]	Time 0.741 (0.751)	Data 0.001 (0.001)	Loss 1.9842 (2.2460)	Prec@1 52.344 (43.827)	Prec@5 81.250 (74.381)
Epoch: [31][12080/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 2.4237 (2.2460)	Prec@1 47.656 (43.829)	Prec@5 71.875 (74.383)
Epoch: [31][12090/14090]	Time 0.762 (0.751)	Data 0.001 (0.001)	Loss 2.0246 (2.2459)	Prec@1 47.656 (43.830)	Prec@5 75.781 (74.383)
Epoch: [31][12100/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 2.2938 (2.2459)	Prec@1 43.750 (43.830)	Prec@5 75.000 (74.384)
Epoch: [31][12110/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 2.3207 (2.2459)	Prec@1 45.312 (43.831)	Prec@5 72.656 (74.382)
Epoch: [31][12120/14090]	Time 0.743 (0.751)	Data 0.003 (0.001)	Loss 2.4984 (2.2460)	Prec@1 45.312 (43.831)	Prec@5 72.656 (74.382)
Epoch: [31][12130/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 2.2235 (2.2459)	Prec@1 41.406 (43.832)	Prec@5 71.875 (74.382)
Epoch: [31][12140/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 2.2669 (2.2459)	Prec@1 42.969 (43.831)	Prec@5 76.562 (74.382)
Epoch: [31][12150/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 2.0026 (2.2459)	Prec@1 42.188 (43.832)	Prec@5 82.812 (74.384)
Epoch: [31][12160/14090]	Time 0.760 (0.751)	Data 0.001 (0.001)	Loss 2.2606 (2.2458)	Prec@1 39.062 (43.832)	Prec@5 70.312 (74.385)
Epoch: [31][12170/14090]	Time 0.774 (0.751)	Data 0.001 (0.001)	Loss 2.3007 (2.2459)	Prec@1 41.406 (43.831)	Prec@5 71.875 (74.385)
Epoch: [31][12180/14090]	Time 0.742 (0.751)	Data 0.001 (0.001)	Loss 2.6209 (2.2460)	Prec@1 35.938 (43.828)	Prec@5 64.844 (74.382)
Epoch: [31][12190/14090]	Time 0.773 (0.751)	Data 0.002 (0.001)	Loss 1.9303 (2.2460)	Prec@1 51.562 (43.829)	Prec@5 77.344 (74.382)
Epoch: [31][12200/14090]	Time 0.787 (0.751)	Data 0.001 (0.001)	Loss 2.2257 (2.2459)	Prec@1 49.219 (43.830)	Prec@5 72.656 (74.383)
Epoch: [31][12210/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 2.2810 (2.2460)	Prec@1 39.844 (43.827)	Prec@5 74.219 (74.382)
Epoch: [31][12220/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 2.0993 (2.2460)	Prec@1 45.312 (43.827)	Prec@5 76.562 (74.382)
Epoch: [31][12230/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 2.4902 (2.2460)	Prec@1 41.406 (43.826)	Prec@5 67.188 (74.382)
Epoch: [31][12240/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 2.4947 (2.2460)	Prec@1 42.188 (43.828)	Prec@5 67.188 (74.382)
Epoch: [31][12250/14090]	Time 0.720 (0.751)	Data 0.001 (0.001)	Loss 2.1147 (2.2460)	Prec@1 49.219 (43.828)	Prec@5 75.781 (74.383)
Epoch: [31][12260/14090]	Time 0.758 (0.751)	Data 0.003 (0.001)	Loss 2.3816 (2.2459)	Prec@1 40.625 (43.827)	Prec@5 73.438 (74.385)
Epoch: [31][12270/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 2.3252 (2.2459)	Prec@1 39.062 (43.827)	Prec@5 72.656 (74.384)
Epoch: [31][12280/14090]	Time 0.781 (0.751)	Data 0.001 (0.001)	Loss 2.4846 (2.2460)	Prec@1 39.844 (43.826)	Prec@5 71.875 (74.384)
Epoch: [31][12290/14090]	Time 0.723 (0.751)	Data 0.001 (0.001)	Loss 1.9969 (2.2460)	Prec@1 46.875 (43.824)	Prec@5 80.469 (74.383)
Epoch: [31][12300/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 2.3848 (2.2460)	Prec@1 44.531 (43.823)	Prec@5 72.656 (74.382)
Epoch: [31][12310/14090]	Time 0.733 (0.751)	Data 0.001 (0.001)	Loss 2.5557 (2.2461)	Prec@1 42.969 (43.821)	Prec@5 67.188 (74.381)
Epoch: [31][12320/14090]	Time 0.733 (0.750)	Data 0.001 (0.001)	Loss 2.3594 (2.2461)	Prec@1 44.531 (43.823)	Prec@5 73.438 (74.381)
Epoch: [31][12330/14090]	Time 0.750 (0.751)	Data 0.002 (0.001)	Loss 2.5968 (2.2461)	Prec@1 35.156 (43.822)	Prec@5 67.969 (74.381)
Epoch: [31][12340/14090]	Time 0.770 (0.751)	Data 0.001 (0.001)	Loss 2.0275 (2.2461)	Prec@1 44.531 (43.822)	Prec@5 79.688 (74.381)
Epoch: [31][12350/14090]	Time 0.753 (0.750)	Data 0.001 (0.001)	Loss 2.4343 (2.2461)	Prec@1 35.156 (43.820)	Prec@5 72.656 (74.381)
Epoch: [31][12360/14090]	Time 0.754 (0.750)	Data 0.001 (0.001)	Loss 2.2915 (2.2462)	Prec@1 46.094 (43.820)	Prec@5 73.438 (74.380)
Epoch: [31][12370/14090]	Time 0.757 (0.750)	Data 0.002 (0.001)	Loss 2.1059 (2.2462)	Prec@1 46.875 (43.820)	Prec@5 77.344 (74.380)
Epoch: [31][12380/14090]	Time 0.776 (0.751)	Data 0.001 (0.001)	Loss 2.4023 (2.2462)	Prec@1 39.844 (43.819)	Prec@5 69.531 (74.380)
Epoch: [31][12390/14090]	Time 0.794 (0.751)	Data 0.001 (0.001)	Loss 2.0574 (2.2461)	Prec@1 48.438 (43.822)	Prec@5 75.781 (74.380)
Epoch: [31][12400/14090]	Time 0.732 (0.751)	Data 0.004 (0.001)	Loss 2.1700 (2.2461)	Prec@1 45.312 (43.823)	Prec@5 78.125 (74.382)
Epoch: [31][12410/14090]	Time 0.758 (0.750)	Data 0.001 (0.001)	Loss 2.2530 (2.2461)	Prec@1 40.625 (43.823)	Prec@5 77.344 (74.382)
Epoch: [31][12420/14090]	Time 0.757 (0.751)	Data 0.001 (0.001)	Loss 2.2728 (2.2461)	Prec@1 43.750 (43.822)	Prec@5 71.875 (74.381)
Epoch: [31][12430/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 2.2935 (2.2461)	Prec@1 42.188 (43.822)	Prec@5 75.781 (74.382)
Epoch: [31][12440/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 2.2698 (2.2461)	Prec@1 42.188 (43.824)	Prec@5 67.969 (74.381)
Epoch: [31][12450/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 2.2753 (2.2460)	Prec@1 38.281 (43.825)	Prec@5 72.656 (74.380)
Epoch: [31][12460/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 2.3380 (2.2460)	Prec@1 42.969 (43.826)	Prec@5 71.094 (74.381)
Epoch: [31][12470/14090]	Time 0.778 (0.751)	Data 0.002 (0.001)	Loss 2.3263 (2.2460)	Prec@1 39.844 (43.825)	Prec@5 72.656 (74.380)
Epoch: [31][12480/14090]	Time 0.780 (0.751)	Data 0.001 (0.001)	Loss 2.3920 (2.2460)	Prec@1 42.969 (43.825)	Prec@5 71.094 (74.381)
Epoch: [31][12490/14090]	Time 0.734 (0.751)	Data 0.001 (0.001)	Loss 2.3842 (2.2460)	Prec@1 39.062 (43.826)	Prec@5 71.875 (74.381)
Epoch: [31][12500/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 2.2199 (2.2460)	Prec@1 46.875 (43.825)	Prec@5 71.094 (74.382)
Epoch: [31][12510/14090]	Time 0.762 (0.751)	Data 0.001 (0.001)	Loss 2.1448 (2.2460)	Prec@1 47.656 (43.824)	Prec@5 75.781 (74.380)
Epoch: [31][12520/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 2.2870 (2.2460)	Prec@1 47.656 (43.823)	Prec@5 73.438 (74.379)
Epoch: [31][12530/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 2.2383 (2.2460)	Prec@1 42.188 (43.823)	Prec@5 75.000 (74.379)
Epoch: [31][12540/14090]	Time 0.731 (0.751)	Data 0.002 (0.001)	Loss 2.3160 (2.2460)	Prec@1 45.312 (43.825)	Prec@5 73.438 (74.380)
Epoch: [31][12550/14090]	Time 0.777 (0.751)	Data 0.001 (0.001)	Loss 2.2732 (2.2460)	Prec@1 39.062 (43.827)	Prec@5 74.219 (74.382)
Epoch: [31][12560/14090]	Time 0.750 (0.751)	Data 0.002 (0.001)	Loss 2.1905 (2.2459)	Prec@1 43.750 (43.826)	Prec@5 75.781 (74.382)
Epoch: [31][12570/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 2.3114 (2.2460)	Prec@1 40.625 (43.826)	Prec@5 75.781 (74.382)
Epoch: [31][12580/14090]	Time 0.773 (0.751)	Data 0.001 (0.001)	Loss 2.3051 (2.2460)	Prec@1 41.406 (43.826)	Prec@5 71.875 (74.381)
Epoch: [31][12590/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.1839 (2.2460)	Prec@1 47.656 (43.827)	Prec@5 74.219 (74.382)
Epoch: [31][12600/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 2.3405 (2.2460)	Prec@1 42.969 (43.827)	Prec@5 68.750 (74.382)
Epoch: [31][12610/14090]	Time 0.724 (0.751)	Data 0.002 (0.001)	Loss 2.4951 (2.2460)	Prec@1 37.500 (43.827)	Prec@5 70.312 (74.383)
Epoch: [31][12620/14090]	Time 0.780 (0.751)	Data 0.001 (0.001)	Loss 2.2509 (2.2460)	Prec@1 43.750 (43.825)	Prec@5 75.781 (74.382)
Epoch: [31][12630/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 2.3993 (2.2460)	Prec@1 36.719 (43.826)	Prec@5 74.219 (74.382)
Epoch: [31][12640/14090]	Time 0.725 (0.751)	Data 0.001 (0.001)	Loss 2.3574 (2.2460)	Prec@1 39.844 (43.826)	Prec@5 74.219 (74.381)
Epoch: [31][12650/14090]	Time 0.762 (0.751)	Data 0.001 (0.001)	Loss 2.3593 (2.2460)	Prec@1 39.844 (43.827)	Prec@5 70.312 (74.380)
Epoch: [31][12660/14090]	Time 0.760 (0.751)	Data 0.001 (0.001)	Loss 2.3314 (2.2460)	Prec@1 47.656 (43.827)	Prec@5 70.312 (74.380)
Epoch: [31][12670/14090]	Time 0.760 (0.751)	Data 0.001 (0.001)	Loss 2.2806 (2.2460)	Prec@1 49.219 (43.827)	Prec@5 74.219 (74.381)
Epoch: [31][12680/14090]	Time 0.721 (0.751)	Data 0.002 (0.001)	Loss 2.2229 (2.2460)	Prec@1 40.625 (43.826)	Prec@5 72.656 (74.380)
Epoch: [31][12690/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 2.1065 (2.2460)	Prec@1 43.750 (43.828)	Prec@5 79.688 (74.382)
Epoch: [31][12700/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 2.1908 (2.2459)	Prec@1 41.406 (43.829)	Prec@5 72.656 (74.382)
Epoch: [31][12710/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 1.9522 (2.2459)	Prec@1 52.344 (43.830)	Prec@5 80.469 (74.383)
Epoch: [31][12720/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 2.2969 (2.2459)	Prec@1 45.312 (43.829)	Prec@5 67.969 (74.383)
Epoch: [31][12730/14090]	Time 0.740 (0.751)	Data 0.001 (0.001)	Loss 2.6031 (2.2458)	Prec@1 35.156 (43.828)	Prec@5 66.406 (74.385)
Epoch: [31][12740/14090]	Time 0.743 (0.751)	Data 0.001 (0.001)	Loss 1.7813 (2.2458)	Prec@1 53.125 (43.831)	Prec@5 83.594 (74.385)
Epoch: [31][12750/14090]	Time 0.759 (0.751)	Data 0.002 (0.001)	Loss 2.4949 (2.2458)	Prec@1 35.938 (43.831)	Prec@5 67.188 (74.386)
Epoch: [31][12760/14090]	Time 0.739 (0.751)	Data 0.001 (0.001)	Loss 2.4509 (2.2458)	Prec@1 47.656 (43.832)	Prec@5 73.438 (74.387)
Epoch: [31][12770/14090]	Time 0.734 (0.751)	Data 0.001 (0.001)	Loss 2.4284 (2.2458)	Prec@1 39.844 (43.831)	Prec@5 69.531 (74.385)
Epoch: [31][12780/14090]	Time 0.730 (0.751)	Data 0.001 (0.001)	Loss 2.2463 (2.2458)	Prec@1 40.625 (43.831)	Prec@5 75.000 (74.385)
Epoch: [31][12790/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 2.1567 (2.2458)	Prec@1 50.781 (43.832)	Prec@5 76.562 (74.386)
Epoch: [31][12800/14090]	Time 0.730 (0.751)	Data 0.001 (0.001)	Loss 1.9774 (2.2458)	Prec@1 46.875 (43.831)	Prec@5 82.031 (74.385)
Epoch: [31][12810/14090]	Time 0.773 (0.751)	Data 0.001 (0.001)	Loss 2.3519 (2.2458)	Prec@1 39.062 (43.830)	Prec@5 71.875 (74.384)
Epoch: [31][12820/14090]	Time 0.758 (0.751)	Data 0.002 (0.001)	Loss 1.8482 (2.2457)	Prec@1 53.125 (43.832)	Prec@5 81.250 (74.386)
Epoch: [31][12830/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 2.2777 (2.2458)	Prec@1 43.750 (43.832)	Prec@5 72.656 (74.385)
Epoch: [31][12840/14090]	Time 0.736 (0.751)	Data 0.002 (0.001)	Loss 2.2804 (2.2457)	Prec@1 43.750 (43.831)	Prec@5 72.656 (74.386)
Epoch: [31][12850/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 2.1062 (2.2457)	Prec@1 41.406 (43.829)	Prec@5 77.344 (74.386)
Epoch: [31][12860/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 2.2296 (2.2458)	Prec@1 43.750 (43.828)	Prec@5 72.656 (74.384)
Epoch: [31][12870/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.4024 (2.2458)	Prec@1 35.938 (43.828)	Prec@5 75.781 (74.385)
Epoch: [31][12880/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 2.2029 (2.2458)	Prec@1 45.312 (43.829)	Prec@5 71.094 (74.385)
Epoch: [31][12890/14090]	Time 0.728 (0.751)	Data 0.002 (0.001)	Loss 2.1738 (2.2458)	Prec@1 40.625 (43.830)	Prec@5 75.781 (74.385)
Epoch: [31][12900/14090]	Time 0.766 (0.751)	Data 0.001 (0.001)	Loss 2.7513 (2.2458)	Prec@1 33.594 (43.831)	Prec@5 67.188 (74.385)
Epoch: [31][12910/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 1.9879 (2.2458)	Prec@1 48.438 (43.832)	Prec@5 80.469 (74.386)
Epoch: [31][12920/14090]	Time 0.765 (0.751)	Data 0.001 (0.001)	Loss 2.2705 (2.2457)	Prec@1 42.188 (43.833)	Prec@5 71.875 (74.387)
Epoch: [31][12930/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 2.0180 (2.2457)	Prec@1 45.312 (43.835)	Prec@5 78.906 (74.388)
Epoch: [31][12940/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 2.6211 (2.2457)	Prec@1 36.719 (43.834)	Prec@5 70.312 (74.387)
Epoch: [31][12950/14090]	Time 0.758 (0.751)	Data 0.002 (0.001)	Loss 2.0128 (2.2457)	Prec@1 51.562 (43.836)	Prec@5 77.344 (74.386)
Epoch: [31][12960/14090]	Time 0.758 (0.751)	Data 0.003 (0.001)	Loss 2.2142 (2.2458)	Prec@1 42.969 (43.835)	Prec@5 76.562 (74.384)
Epoch: [31][12970/14090]	Time 0.771 (0.751)	Data 0.001 (0.001)	Loss 2.2635 (2.2457)	Prec@1 39.844 (43.835)	Prec@5 71.094 (74.384)
Epoch: [31][12980/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 2.3110 (2.2457)	Prec@1 44.531 (43.835)	Prec@5 69.531 (74.384)
Epoch: [31][12990/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 1.9696 (2.2457)	Prec@1 47.656 (43.835)	Prec@5 81.250 (74.385)
Epoch: [31][13000/14090]	Time 0.765 (0.751)	Data 0.001 (0.001)	Loss 2.4366 (2.2457)	Prec@1 39.062 (43.836)	Prec@5 69.531 (74.385)
Epoch: [31][13010/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 2.5336 (2.2457)	Prec@1 39.062 (43.834)	Prec@5 70.312 (74.385)
Epoch: [31][13020/14090]	Time 0.767 (0.751)	Data 0.001 (0.001)	Loss 2.2685 (2.2458)	Prec@1 44.531 (43.833)	Prec@5 79.688 (74.385)
Epoch: [31][13030/14090]	Time 0.755 (0.751)	Data 0.002 (0.001)	Loss 2.3877 (2.2457)	Prec@1 39.062 (43.833)	Prec@5 72.656 (74.385)
Epoch: [31][13040/14090]	Time 0.768 (0.751)	Data 0.001 (0.001)	Loss 2.2790 (2.2458)	Prec@1 39.062 (43.832)	Prec@5 73.438 (74.384)
Epoch: [31][13050/14090]	Time 0.772 (0.751)	Data 0.001 (0.001)	Loss 2.4813 (2.2458)	Prec@1 41.406 (43.832)	Prec@5 73.438 (74.384)
Epoch: [31][13060/14090]	Time 0.767 (0.751)	Data 0.001 (0.001)	Loss 2.4397 (2.2458)	Prec@1 35.938 (43.831)	Prec@5 75.000 (74.385)
Epoch: [31][13070/14090]	Time 0.759 (0.751)	Data 0.001 (0.001)	Loss 2.5501 (2.2458)	Prec@1 38.281 (43.830)	Prec@5 64.062 (74.382)
Epoch: [31][13080/14090]	Time 0.760 (0.751)	Data 0.001 (0.001)	Loss 2.4692 (2.2459)	Prec@1 41.406 (43.829)	Prec@5 67.969 (74.381)
Epoch: [31][13090/14090]	Time 0.721 (0.751)	Data 0.001 (0.001)	Loss 2.2879 (2.2459)	Prec@1 42.188 (43.830)	Prec@5 75.000 (74.381)
Epoch: [31][13100/14090]	Time 0.761 (0.751)	Data 0.002 (0.001)	Loss 2.2512 (2.2459)	Prec@1 46.094 (43.831)	Prec@5 71.875 (74.381)
Epoch: [31][13110/14090]	Time 0.787 (0.751)	Data 0.001 (0.001)	Loss 2.3136 (2.2458)	Prec@1 39.062 (43.830)	Prec@5 70.312 (74.383)
Epoch: [31][13120/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 2.4223 (2.2458)	Prec@1 45.312 (43.832)	Prec@5 67.969 (74.383)
Epoch: [31][13130/14090]	Time 0.737 (0.751)	Data 0.001 (0.001)	Loss 2.4413 (2.2458)	Prec@1 36.719 (43.831)	Prec@5 70.312 (74.382)
Epoch: [31][13140/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 2.0457 (2.2458)	Prec@1 46.094 (43.832)	Prec@5 75.000 (74.383)
Epoch: [31][13150/14090]	Time 0.739 (0.751)	Data 0.001 (0.001)	Loss 2.2150 (2.2458)	Prec@1 44.531 (43.832)	Prec@5 73.438 (74.384)
Epoch: [31][13160/14090]	Time 0.783 (0.751)	Data 0.001 (0.001)	Loss 2.2304 (2.2457)	Prec@1 46.875 (43.834)	Prec@5 74.219 (74.386)
Epoch: [31][13170/14090]	Time 0.761 (0.751)	Data 0.003 (0.001)	Loss 2.3255 (2.2458)	Prec@1 42.969 (43.834)	Prec@5 73.438 (74.385)
Epoch: [31][13180/14090]	Time 0.734 (0.751)	Data 0.001 (0.001)	Loss 2.3371 (2.2458)	Prec@1 40.625 (43.833)	Prec@5 71.875 (74.384)
Epoch: [31][13190/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 2.1849 (2.2458)	Prec@1 44.531 (43.833)	Prec@5 74.219 (74.383)
Epoch: [31][13200/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 2.0962 (2.2458)	Prec@1 46.094 (43.832)	Prec@5 78.125 (74.383)
Epoch: [31][13210/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.3357 (2.2459)	Prec@1 44.531 (43.831)	Prec@5 72.656 (74.382)
Epoch: [31][13220/14090]	Time 0.762 (0.751)	Data 0.001 (0.001)	Loss 2.1798 (2.2459)	Prec@1 43.750 (43.830)	Prec@5 78.125 (74.382)
Epoch: [31][13230/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.2579 (2.2458)	Prec@1 42.188 (43.832)	Prec@5 75.781 (74.383)
Epoch: [31][13240/14090]	Time 0.759 (0.751)	Data 0.002 (0.001)	Loss 2.2229 (2.2458)	Prec@1 42.969 (43.832)	Prec@5 75.000 (74.384)
Epoch: [31][13250/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 2.0283 (2.2457)	Prec@1 46.875 (43.834)	Prec@5 77.344 (74.385)
Epoch: [31][13260/14090]	Time 0.755 (0.751)	Data 0.002 (0.001)	Loss 2.1728 (2.2457)	Prec@1 43.750 (43.834)	Prec@5 77.344 (74.385)
Epoch: [31][13270/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 2.4562 (2.2458)	Prec@1 42.188 (43.833)	Prec@5 71.094 (74.383)
Epoch: [31][13280/14090]	Time 0.760 (0.751)	Data 0.001 (0.001)	Loss 2.3336 (2.2458)	Prec@1 42.188 (43.834)	Prec@5 67.969 (74.383)
Epoch: [31][13290/14090]	Time 0.780 (0.751)	Data 0.001 (0.001)	Loss 2.2309 (2.2457)	Prec@1 45.312 (43.834)	Prec@5 73.438 (74.382)
Epoch: [31][13300/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 2.0379 (2.2457)	Prec@1 45.312 (43.833)	Prec@5 79.688 (74.383)
Epoch: [31][13310/14090]	Time 0.757 (0.751)	Data 0.001 (0.001)	Loss 2.1305 (2.2456)	Prec@1 46.094 (43.835)	Prec@5 79.688 (74.384)
Epoch: [31][13320/14090]	Time 0.743 (0.751)	Data 0.001 (0.001)	Loss 2.5460 (2.2457)	Prec@1 38.281 (43.834)	Prec@5 70.312 (74.384)
Epoch: [31][13330/14090]	Time 0.778 (0.751)	Data 0.001 (0.001)	Loss 2.3248 (2.2457)	Prec@1 42.188 (43.834)	Prec@5 70.312 (74.384)
Epoch: [31][13340/14090]	Time 0.734 (0.751)	Data 0.001 (0.001)	Loss 2.3224 (2.2457)	Prec@1 41.406 (43.833)	Prec@5 73.438 (74.385)
Epoch: [31][13350/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 2.2912 (2.2457)	Prec@1 44.531 (43.834)	Prec@5 71.094 (74.384)
Epoch: [31][13360/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 2.3414 (2.2458)	Prec@1 42.969 (43.833)	Prec@5 75.781 (74.384)
Epoch: [31][13370/14090]	Time 0.761 (0.751)	Data 0.001 (0.001)	Loss 2.1743 (2.2458)	Prec@1 49.219 (43.833)	Prec@5 74.219 (74.384)
Epoch: [31][13380/14090]	Time 0.765 (0.751)	Data 0.001 (0.001)	Loss 2.3417 (2.2458)	Prec@1 42.188 (43.833)	Prec@5 73.438 (74.384)
Epoch: [31][13390/14090]	Time 0.782 (0.751)	Data 0.001 (0.001)	Loss 2.2660 (2.2458)	Prec@1 42.188 (43.834)	Prec@5 76.562 (74.385)
Epoch: [31][13400/14090]	Time 0.759 (0.751)	Data 0.001 (0.001)	Loss 2.0069 (2.2458)	Prec@1 48.438 (43.833)	Prec@5 76.562 (74.384)
Epoch: [31][13410/14090]	Time 0.763 (0.751)	Data 0.001 (0.001)	Loss 1.9209 (2.2459)	Prec@1 47.656 (43.832)	Prec@5 79.688 (74.383)
Epoch: [31][13420/14090]	Time 0.729 (0.751)	Data 0.001 (0.001)	Loss 2.1458 (2.2458)	Prec@1 44.531 (43.832)	Prec@5 78.906 (74.385)
Epoch: [31][13430/14090]	Time 0.764 (0.751)	Data 0.001 (0.001)	Loss 2.2418 (2.2458)	Prec@1 49.219 (43.835)	Prec@5 72.656 (74.385)
Epoch: [31][13440/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 2.2746 (2.2458)	Prec@1 44.531 (43.834)	Prec@5 72.656 (74.383)
Epoch: [31][13450/14090]	Time 0.768 (0.751)	Data 0.001 (0.001)	Loss 2.3496 (2.2458)	Prec@1 43.750 (43.835)	Prec@5 72.656 (74.383)
Epoch: [31][13460/14090]	Time 0.767 (0.751)	Data 0.001 (0.001)	Loss 2.4424 (2.2458)	Prec@1 45.312 (43.836)	Prec@5 73.438 (74.384)
Epoch: [31][13470/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 2.3647 (2.2459)	Prec@1 42.188 (43.835)	Prec@5 70.312 (74.382)
Epoch: [31][13480/14090]	Time 0.741 (0.751)	Data 0.001 (0.001)	Loss 1.9952 (2.2459)	Prec@1 46.875 (43.835)	Prec@5 78.906 (74.383)
Epoch: [31][13490/14090]	Time 0.757 (0.751)	Data 0.001 (0.001)	Loss 2.0893 (2.2459)	Prec@1 51.562 (43.835)	Prec@5 81.250 (74.383)
Epoch: [31][13500/14090]	Time 0.762 (0.751)	Data 0.001 (0.001)	Loss 2.1180 (2.2458)	Prec@1 50.781 (43.835)	Prec@5 78.125 (74.383)
Epoch: [31][13510/14090]	Time 0.759 (0.751)	Data 0.001 (0.001)	Loss 2.0031 (2.2458)	Prec@1 50.781 (43.836)	Prec@5 79.688 (74.383)
Epoch: [31][13520/14090]	Time 0.740 (0.751)	Data 0.001 (0.001)	Loss 2.1479 (2.2458)	Prec@1 46.875 (43.837)	Prec@5 79.688 (74.384)
Epoch: [31][13530/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 2.2554 (2.2457)	Prec@1 42.969 (43.837)	Prec@5 75.000 (74.385)
Epoch: [31][13540/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.0868 (2.2457)	Prec@1 46.875 (43.839)	Prec@5 73.438 (74.385)
Epoch: [31][13550/14090]	Time 0.761 (0.751)	Data 0.001 (0.001)	Loss 2.3981 (2.2457)	Prec@1 43.750 (43.837)	Prec@5 71.094 (74.384)
Epoch: [31][13560/14090]	Time 0.776 (0.751)	Data 0.001 (0.001)	Loss 2.4091 (2.2458)	Prec@1 46.875 (43.837)	Prec@5 76.562 (74.383)
Epoch: [31][13570/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 2.1682 (2.2458)	Prec@1 48.438 (43.837)	Prec@5 74.219 (74.383)
Epoch: [31][13580/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 2.3541 (2.2459)	Prec@1 39.062 (43.835)	Prec@5 73.438 (74.382)
Epoch: [31][13590/14090]	Time 0.773 (0.751)	Data 0.001 (0.001)	Loss 2.4444 (2.2459)	Prec@1 43.750 (43.835)	Prec@5 69.531 (74.381)
Epoch: [31][13600/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 1.8138 (2.2459)	Prec@1 58.594 (43.836)	Prec@5 79.688 (74.382)
Epoch: [31][13610/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 2.3885 (2.2459)	Prec@1 37.500 (43.835)	Prec@5 72.656 (74.381)
Epoch: [31][13620/14090]	Time 0.743 (0.751)	Data 0.001 (0.001)	Loss 2.1672 (2.2460)	Prec@1 42.969 (43.834)	Prec@5 75.781 (74.380)
Epoch: [31][13630/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 2.1203 (2.2459)	Prec@1 47.656 (43.836)	Prec@5 73.438 (74.382)
Epoch: [31][13640/14090]	Time 0.729 (0.751)	Data 0.001 (0.001)	Loss 2.2239 (2.2459)	Prec@1 43.750 (43.836)	Prec@5 75.781 (74.381)
Epoch: [31][13650/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 2.1745 (2.2459)	Prec@1 40.625 (43.836)	Prec@5 76.562 (74.380)
Epoch: [31][13660/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 2.1387 (2.2458)	Prec@1 44.531 (43.838)	Prec@5 82.031 (74.382)
Epoch: [31][13670/14090]	Time 0.759 (0.751)	Data 0.001 (0.001)	Loss 2.3764 (2.2459)	Prec@1 45.312 (43.838)	Prec@5 72.656 (74.381)
Epoch: [31][13680/14090]	Time 0.766 (0.751)	Data 0.001 (0.001)	Loss 2.2130 (2.2459)	Prec@1 44.531 (43.838)	Prec@5 74.219 (74.381)
Epoch: [31][13690/14090]	Time 0.774 (0.751)	Data 0.001 (0.001)	Loss 2.5716 (2.2459)	Prec@1 35.938 (43.838)	Prec@5 69.531 (74.381)
Epoch: [31][13700/14090]	Time 0.738 (0.751)	Data 0.002 (0.001)	Loss 2.2185 (2.2459)	Prec@1 46.094 (43.838)	Prec@5 76.562 (74.380)
Epoch: [31][13710/14090]	Time 0.734 (0.751)	Data 0.001 (0.001)	Loss 2.4222 (2.2459)	Prec@1 46.094 (43.838)	Prec@5 66.406 (74.380)
Epoch: [31][13720/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 2.7762 (2.2459)	Prec@1 35.938 (43.838)	Prec@5 60.938 (74.380)
Epoch: [31][13730/14090]	Time 0.725 (0.751)	Data 0.001 (0.001)	Loss 1.9833 (2.2459)	Prec@1 49.219 (43.837)	Prec@5 82.812 (74.380)
Epoch: [31][13740/14090]	Time 0.771 (0.751)	Data 0.001 (0.001)	Loss 2.3364 (2.2459)	Prec@1 37.500 (43.835)	Prec@5 70.312 (74.380)
Epoch: [31][13750/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 2.1536 (2.2460)	Prec@1 53.125 (43.835)	Prec@5 80.469 (74.381)
Epoch: [31][13760/14090]	Time 0.770 (0.751)	Data 0.001 (0.001)	Loss 2.2624 (2.2460)	Prec@1 47.656 (43.835)	Prec@5 76.562 (74.380)
Epoch: [31][13770/14090]	Time 0.730 (0.751)	Data 0.001 (0.001)	Loss 2.6252 (2.2460)	Prec@1 42.188 (43.836)	Prec@5 67.188 (74.379)
Epoch: [31][13780/14090]	Time 0.741 (0.751)	Data 0.001 (0.001)	Loss 2.2160 (2.2460)	Prec@1 42.188 (43.835)	Prec@5 74.219 (74.379)
Epoch: [31][13790/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 2.0771 (2.2460)	Prec@1 46.875 (43.835)	Prec@5 75.781 (74.378)
Epoch: [31][13800/14090]	Time 0.767 (0.751)	Data 0.002 (0.001)	Loss 2.1846 (2.2462)	Prec@1 35.938 (43.833)	Prec@5 76.562 (74.376)
Epoch: [31][13810/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 1.9854 (2.2462)	Prec@1 46.875 (43.832)	Prec@5 81.250 (74.376)
Epoch: [31][13820/14090]	Time 0.764 (0.751)	Data 0.001 (0.001)	Loss 2.3978 (2.2462)	Prec@1 35.156 (43.832)	Prec@5 75.000 (74.375)
Epoch: [31][13830/14090]	Time 0.742 (0.751)	Data 0.001 (0.001)	Loss 2.0706 (2.2461)	Prec@1 46.875 (43.831)	Prec@5 78.906 (74.376)
Epoch: [31][13840/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 2.3786 (2.2462)	Prec@1 44.531 (43.829)	Prec@5 68.750 (74.375)
Epoch: [31][13850/14090]	Time 0.743 (0.751)	Data 0.001 (0.001)	Loss 2.1839 (2.2462)	Prec@1 36.719 (43.828)	Prec@5 78.906 (74.375)
Epoch: [31][13860/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 2.2558 (2.2462)	Prec@1 49.219 (43.828)	Prec@5 73.438 (74.376)
Epoch: [31][13870/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 1.9127 (2.2462)	Prec@1 49.219 (43.828)	Prec@5 82.031 (74.376)
Epoch: [31][13880/14090]	Time 0.727 (0.751)	Data 0.001 (0.001)	Loss 2.5403 (2.2462)	Prec@1 34.375 (43.827)	Prec@5 72.656 (74.375)
Epoch: [31][13890/14090]	Time 0.727 (0.751)	Data 0.001 (0.001)	Loss 2.4282 (2.2462)	Prec@1 36.719 (43.827)	Prec@5 70.312 (74.377)
Epoch: [31][13900/14090]	Time 0.728 (0.751)	Data 0.001 (0.001)	Loss 2.2930 (2.2462)	Prec@1 42.188 (43.826)	Prec@5 73.438 (74.376)
Epoch: [31][13910/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 2.4036 (2.2463)	Prec@1 43.750 (43.826)	Prec@5 71.094 (74.375)
Epoch: [31][13920/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 2.3018 (2.2463)	Prec@1 41.406 (43.825)	Prec@5 74.219 (74.374)
Epoch: [31][13930/14090]	Time 0.737 (0.751)	Data 0.001 (0.001)	Loss 1.9717 (2.2463)	Prec@1 43.750 (43.825)	Prec@5 78.125 (74.374)
Epoch: [31][13940/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 2.3023 (2.2463)	Prec@1 48.438 (43.826)	Prec@5 74.219 (74.374)
Epoch: [31][13950/14090]	Time 0.780 (0.751)	Data 0.001 (0.001)	Loss 2.0388 (2.2463)	Prec@1 47.656 (43.824)	Prec@5 78.906 (74.375)
Epoch: [31][13960/14090]	Time 0.760 (0.751)	Data 0.001 (0.001)	Loss 2.3073 (2.2463)	Prec@1 39.062 (43.824)	Prec@5 71.094 (74.375)
Epoch: [31][13970/14090]	Time 0.784 (0.751)	Data 0.001 (0.001)	Loss 2.4228 (2.2463)	Prec@1 39.062 (43.826)	Prec@5 67.188 (74.375)
Epoch: [31][13980/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 2.3205 (2.2463)	Prec@1 42.188 (43.825)	Prec@5 67.969 (74.374)
Epoch: [31][13990/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 2.3813 (2.2464)	Prec@1 43.750 (43.823)	Prec@5 71.094 (74.373)
Epoch: [31][14000/14090]	Time 0.737 (0.751)	Data 0.001 (0.001)	Loss 2.2184 (2.2464)	Prec@1 43.750 (43.822)	Prec@5 74.219 (74.372)
Epoch: [31][14010/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 2.2109 (2.2464)	Prec@1 41.406 (43.823)	Prec@5 77.344 (74.372)
Epoch: [31][14020/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 2.1262 (2.2464)	Prec@1 45.312 (43.823)	Prec@5 78.125 (74.372)
Epoch: [31][14030/14090]	Time 0.873 (0.751)	Data 0.001 (0.001)	Loss 2.0615 (2.2463)	Prec@1 50.781 (43.825)	Prec@5 78.906 (74.374)
Epoch: [31][14040/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 2.1682 (2.2463)	Prec@1 48.438 (43.826)	Prec@5 75.000 (74.375)
Epoch: [31][14050/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.2532 (2.2463)	Prec@1 40.625 (43.827)	Prec@5 78.125 (74.376)
Epoch: [31][14060/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.2736 (2.2462)	Prec@1 48.438 (43.828)	Prec@5 72.656 (74.375)
Epoch: [31][14070/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.3307 (2.2462)	Prec@1 40.625 (43.829)	Prec@5 71.094 (74.376)
Epoch: [31][14080/14090]	Time 0.733 (0.751)	Data 0.000 (0.001)	Loss 2.0662 (2.2462)	Prec@1 46.875 (43.829)	Prec@5 77.344 (74.376)
Test: [0/286]	Time 4.094 (4.094)	Loss 1.8032 (1.8032)	Prec@1 43.750 (43.750)	Prec@5 93.750 (93.750)
Test: [10/286]	Time 0.238 (0.675)	Loss 2.0093 (2.0362)	Prec@1 44.531 (47.656)	Prec@5 82.031 (80.753)
Test: [20/286]	Time 0.234 (0.506)	Loss 1.5879 (1.9632)	Prec@1 58.594 (49.070)	Prec@5 88.281 (81.324)
Test: [30/286]	Time 0.250 (0.451)	Loss 1.7241 (1.8585)	Prec@1 56.250 (51.991)	Prec@5 85.938 (82.460)
Test: [40/286]	Time 1.054 (0.441)	Loss 1.8749 (1.8830)	Prec@1 44.531 (50.972)	Prec@5 84.375 (82.260)
Test: [50/286]	Time 0.241 (0.419)	Loss 0.5431 (1.8558)	Prec@1 88.281 (51.501)	Prec@5 94.531 (82.721)
Test: [60/286]	Time 0.302 (0.408)	Loss 2.8892 (1.8858)	Prec@1 32.812 (51.332)	Prec@5 65.625 (81.634)
Test: [70/286]	Time 0.227 (0.396)	Loss 1.3312 (1.8679)	Prec@1 67.188 (51.474)	Prec@5 89.062 (81.910)
Test: [80/286]	Time 0.240 (0.399)	Loss 2.2365 (1.8977)	Prec@1 39.844 (50.405)	Prec@5 78.906 (81.588)
Test: [90/286]	Time 0.232 (0.394)	Loss 2.1227 (1.9120)	Prec@1 45.312 (50.086)	Prec@5 79.688 (81.482)
Test: [100/286]	Time 0.228 (0.391)	Loss 2.0342 (1.9074)	Prec@1 37.500 (50.124)	Prec@5 83.594 (81.807)
Test: [110/286]	Time 0.234 (0.387)	Loss 2.3756 (1.9196)	Prec@1 42.188 (49.634)	Prec@5 72.656 (81.771)
Test: [120/286]	Time 0.513 (0.386)	Loss 1.7776 (1.9051)	Prec@1 56.250 (50.039)	Prec@5 78.125 (81.954)
Test: [130/286]	Time 1.156 (0.388)	Loss 1.1628 (1.8947)	Prec@1 67.188 (50.382)	Prec@5 94.531 (82.037)
Test: [140/286]	Time 0.259 (0.385)	Loss 2.4800 (1.8945)	Prec@1 44.531 (50.382)	Prec@5 71.875 (81.976)
Test: [150/286]	Time 0.232 (0.381)	Loss 2.7928 (1.9111)	Prec@1 28.906 (49.964)	Prec@5 71.875 (81.783)
Test: [160/286]	Time 0.229 (0.378)	Loss 2.5716 (1.9033)	Prec@1 28.125 (50.160)	Prec@5 75.781 (81.949)
Test: [170/286]	Time 1.053 (0.381)	Loss 2.1227 (1.8950)	Prec@1 40.625 (50.279)	Prec@5 78.125 (82.082)
Test: [180/286]	Time 0.238 (0.381)	Loss 2.0062 (1.9070)	Prec@1 57.812 (50.035)	Prec@5 78.125 (81.979)
Test: [190/286]	Time 0.270 (0.378)	Loss 3.0371 (1.9275)	Prec@1 13.281 (49.558)	Prec@5 72.656 (81.753)
Test: [200/286]	Time 0.227 (0.376)	Loss 2.1464 (1.9256)	Prec@1 53.125 (49.708)	Prec@5 85.156 (81.755)
Test: [210/286]	Time 0.494 (0.375)	Loss 2.5438 (1.9366)	Prec@1 37.500 (49.441)	Prec@5 73.438 (81.576)
Test: [220/286]	Time 0.344 (0.377)	Loss 3.2553 (1.9422)	Prec@1 17.188 (49.364)	Prec@5 54.688 (81.384)
Test: [230/286]	Time 0.237 (0.375)	Loss 1.2000 (1.9367)	Prec@1 67.188 (49.516)	Prec@5 87.500 (81.389)
Test: [240/286]	Time 0.227 (0.373)	Loss 2.0514 (1.9370)	Prec@1 45.312 (49.569)	Prec@5 82.812 (81.422)
Test: [250/286]	Time 0.375 (0.372)	Loss 1.8307 (1.9284)	Prec@1 49.219 (49.651)	Prec@5 82.812 (81.661)
Test: [260/286]	Time 0.359 (0.373)	Loss 1.5305 (1.9160)	Prec@1 60.156 (49.994)	Prec@5 89.062 (81.822)
Test: [270/286]	Time 0.343 (0.372)	Loss 1.3194 (1.9143)	Prec@1 66.406 (50.058)	Prec@5 89.062 (81.870)
Test: [280/286]	Time 0.228 (0.371)	Loss 1.8512 (1.8991)	Prec@1 46.875 (50.487)	Prec@5 85.938 (82.023)
 * Prec@1 50.648 Prec@5 82.044
Epoch: [32][0/14090]	Time 5.039 (5.039)	Data 4.292 (4.292)	Loss 2.6336 (2.6336)	Prec@1 39.844 (39.844)	Prec@5 67.188 (67.188)
Epoch: [32][10/14090]	Time 0.726 (1.135)	Data 0.001 (0.391)	Loss 2.2781 (2.2816)	Prec@1 46.094 (44.105)	Prec@5 76.562 (74.574)
Epoch: [32][20/14090]	Time 0.736 (0.942)	Data 0.001 (0.205)	Loss 2.2045 (2.2552)	Prec@1 37.500 (43.341)	Prec@5 82.812 (75.707)
Epoch: [32][30/14090]	Time 0.762 (0.878)	Data 0.001 (0.139)	Loss 2.0207 (2.2511)	Prec@1 51.562 (43.422)	Prec@5 78.906 (75.202)
Epoch: [32][40/14090]	Time 0.732 (0.844)	Data 0.001 (0.106)	Loss 2.1936 (2.2563)	Prec@1 42.969 (43.750)	Prec@5 80.469 (75.133)
Epoch: [32][50/14090]	Time 0.750 (0.824)	Data 0.002 (0.085)	Loss 2.3720 (2.2497)	Prec@1 44.531 (44.102)	Prec@5 71.094 (75.123)
Epoch: [32][60/14090]	Time 0.762 (0.812)	Data 0.001 (0.071)	Loss 2.1306 (2.2623)	Prec@1 47.656 (43.750)	Prec@5 80.469 (75.026)
Epoch: [32][70/14090]	Time 0.744 (0.803)	Data 0.001 (0.061)	Loss 2.3397 (2.2541)	Prec@1 44.531 (43.838)	Prec@5 70.312 (75.176)
Epoch: [32][80/14090]	Time 0.742 (0.797)	Data 0.001 (0.054)	Loss 2.3526 (2.2580)	Prec@1 38.281 (43.740)	Prec@5 70.312 (75.116)
Epoch: [32][90/14090]	Time 0.755 (0.792)	Data 0.001 (0.048)	Loss 1.9918 (2.2450)	Prec@1 49.219 (43.879)	Prec@5 79.688 (75.155)
Epoch: [32][100/14090]	Time 0.746 (0.787)	Data 0.001 (0.043)	Loss 2.1785 (2.2491)	Prec@1 44.531 (43.998)	Prec@5 73.438 (75.023)
Epoch: [32][110/14090]	Time 0.745 (0.784)	Data 0.001 (0.040)	Loss 2.3749 (2.2445)	Prec@1 40.625 (44.144)	Prec@5 70.312 (74.993)
Epoch: [32][120/14090]	Time 0.766 (0.782)	Data 0.002 (0.036)	Loss 2.1294 (2.2437)	Prec@1 46.875 (44.144)	Prec@5 72.656 (75.045)
Epoch: [32][130/14090]	Time 0.756 (0.780)	Data 0.002 (0.034)	Loss 2.2178 (2.2419)	Prec@1 42.969 (44.191)	Prec@5 75.000 (75.060)
Epoch: [32][140/14090]	Time 0.742 (0.778)	Data 0.001 (0.031)	Loss 2.2044 (2.2354)	Prec@1 45.312 (44.426)	Prec@5 74.219 (75.105)
Epoch: [32][150/14090]	Time 0.753 (0.776)	Data 0.001 (0.029)	Loss 2.2646 (2.2327)	Prec@1 40.625 (44.645)	Prec@5 72.656 (75.010)
Epoch: [32][160/14090]	Time 0.753 (0.774)	Data 0.001 (0.028)	Loss 2.3463 (2.2345)	Prec@1 42.188 (44.502)	Prec@5 69.531 (74.922)
Epoch: [32][170/14090]	Time 0.748 (0.772)	Data 0.001 (0.026)	Loss 2.4870 (2.2373)	Prec@1 39.062 (44.472)	Prec@5 68.750 (74.863)
Epoch: [32][180/14090]	Time 0.749 (0.771)	Data 0.001 (0.025)	Loss 2.1683 (2.2362)	Prec@1 47.656 (44.471)	Prec@5 77.344 (74.849)
Epoch: [32][190/14090]	Time 0.754 (0.770)	Data 0.002 (0.023)	Loss 2.1291 (2.2315)	Prec@1 42.188 (44.568)	Prec@5 75.000 (74.930)
Epoch: [32][200/14090]	Time 0.756 (0.769)	Data 0.001 (0.022)	Loss 2.0295 (2.2309)	Prec@1 43.750 (44.605)	Prec@5 79.688 (74.973)
Epoch: [32][210/14090]	Time 0.748 (0.769)	Data 0.001 (0.021)	Loss 2.3533 (2.2314)	Prec@1 42.969 (44.594)	Prec@5 70.312 (74.937)
Epoch: [32][220/14090]	Time 0.722 (0.768)	Data 0.001 (0.020)	Loss 2.2900 (2.2346)	Prec@1 48.438 (44.563)	Prec@5 69.531 (74.862)
Epoch: [32][230/14090]	Time 0.772 (0.767)	Data 0.001 (0.020)	Loss 2.2702 (2.2363)	Prec@1 42.188 (44.497)	Prec@5 72.656 (74.797)
Epoch: [32][240/14090]	Time 0.764 (0.766)	Data 0.001 (0.019)	Loss 2.6393 (2.2367)	Prec@1 35.938 (44.473)	Prec@5 64.844 (74.737)
Epoch: [32][250/14090]	Time 0.756 (0.766)	Data 0.001 (0.018)	Loss 2.1904 (2.2352)	Prec@1 46.875 (44.466)	Prec@5 73.438 (74.763)
Epoch: [32][260/14090]	Time 0.745 (0.766)	Data 0.002 (0.017)	Loss 2.1132 (2.2326)	Prec@1 48.438 (44.540)	Prec@5 79.688 (74.835)
Epoch: [32][270/14090]	Time 0.747 (0.765)	Data 0.001 (0.017)	Loss 2.0860 (2.2321)	Prec@1 52.344 (44.540)	Prec@5 74.219 (74.833)
Epoch: [32][280/14090]	Time 0.743 (0.765)	Data 0.001 (0.016)	Loss 2.1054 (2.2316)	Prec@1 42.188 (44.512)	Prec@5 73.438 (74.822)
Epoch: [32][290/14090]	Time 0.758 (0.764)	Data 0.001 (0.016)	Loss 2.2763 (2.2309)	Prec@1 44.531 (44.496)	Prec@5 75.000 (74.820)
Epoch: [32][300/14090]	Time 0.753 (0.764)	Data 0.001 (0.015)	Loss 2.3508 (2.2335)	Prec@1 42.969 (44.414)	Prec@5 74.219 (74.740)
Epoch: [32][310/14090]	Time 0.765 (0.763)	Data 0.001 (0.015)	Loss 2.1172 (2.2343)	Prec@1 48.438 (44.381)	Prec@5 78.125 (74.689)
Epoch: [32][320/14090]	Time 0.752 (0.763)	Data 0.001 (0.014)	Loss 2.0391 (2.2316)	Prec@1 48.438 (44.439)	Prec@5 80.469 (74.723)
Epoch: [32][330/14090]	Time 0.744 (0.762)	Data 0.002 (0.014)	Loss 2.3225 (2.2334)	Prec@1 38.281 (44.380)	Prec@5 74.219 (74.662)
Epoch: [32][340/14090]	Time 0.762 (0.762)	Data 0.001 (0.014)	Loss 2.3978 (2.2330)	Prec@1 35.156 (44.327)	Prec@5 73.438 (74.704)
Epoch: [32][350/14090]	Time 0.743 (0.762)	Data 0.001 (0.013)	Loss 2.5095 (2.2318)	Prec@1 40.625 (44.369)	Prec@5 71.875 (74.715)
Epoch: [32][360/14090]	Time 0.743 (0.761)	Data 0.001 (0.013)	Loss 2.1579 (2.2311)	Prec@1 42.188 (44.349)	Prec@5 73.438 (74.723)
Epoch: [32][370/14090]	Time 0.773 (0.761)	Data 0.001 (0.013)	Loss 2.3083 (2.2305)	Prec@1 39.844 (44.367)	Prec@5 71.875 (74.686)
Epoch: [32][380/14090]	Time 0.782 (0.761)	Data 0.001 (0.012)	Loss 2.0332 (2.2288)	Prec@1 50.000 (44.394)	Prec@5 80.469 (74.707)
Epoch: [32][390/14090]	Time 0.750 (0.761)	Data 0.001 (0.012)	Loss 2.3869 (2.2270)	Prec@1 42.188 (44.415)	Prec@5 75.000 (74.744)
Epoch: [32][400/14090]	Time 0.742 (0.760)	Data 0.002 (0.012)	Loss 2.3110 (2.2289)	Prec@1 40.625 (44.352)	Prec@5 69.531 (74.694)
Epoch: [32][410/14090]	Time 0.759 (0.760)	Data 0.001 (0.011)	Loss 1.9831 (2.2265)	Prec@1 47.656 (44.372)	Prec@5 81.250 (74.762)
Epoch: [32][420/14090]	Time 0.746 (0.760)	Data 0.001 (0.011)	Loss 2.1682 (2.2269)	Prec@1 42.969 (44.310)	Prec@5 78.906 (74.792)
Epoch: [32][430/14090]	Time 0.773 (0.760)	Data 0.001 (0.011)	Loss 2.0401 (2.2265)	Prec@1 48.438 (44.346)	Prec@5 78.125 (74.784)
Epoch: [32][440/14090]	Time 0.769 (0.760)	Data 0.001 (0.011)	Loss 2.0514 (2.2263)	Prec@1 49.219 (44.340)	Prec@5 82.031 (74.791)
Epoch: [32][450/14090]	Time 0.742 (0.760)	Data 0.001 (0.011)	Loss 2.2817 (2.2261)	Prec@1 46.094 (44.356)	Prec@5 75.781 (74.789)
Epoch: [32][460/14090]	Time 0.726 (0.759)	Data 0.001 (0.010)	Loss 2.5172 (2.2282)	Prec@1 36.719 (44.323)	Prec@5 69.531 (74.737)
Epoch: [32][470/14090]	Time 0.727 (0.759)	Data 0.002 (0.010)	Loss 2.2352 (2.2295)	Prec@1 42.188 (44.317)	Prec@5 79.688 (74.706)
Epoch: [32][480/14090]	Time 0.745 (0.759)	Data 0.001 (0.010)	Loss 2.0680 (2.2283)	Prec@1 42.188 (44.322)	Prec@5 78.125 (74.730)
Epoch: [32][490/14090]	Time 0.732 (0.759)	Data 0.001 (0.010)	Loss 2.1498 (2.2278)	Prec@1 44.531 (44.324)	Prec@5 75.000 (74.730)
Epoch: [32][500/14090]	Time 0.770 (0.759)	Data 0.001 (0.010)	Loss 2.1089 (2.2284)	Prec@1 39.844 (44.297)	Prec@5 78.906 (74.722)
Epoch: [32][510/14090]	Time 0.760 (0.759)	Data 0.001 (0.009)	Loss 2.1218 (2.2271)	Prec@1 39.844 (44.311)	Prec@5 78.906 (74.752)
Epoch: [32][520/14090]	Time 0.764 (0.758)	Data 0.001 (0.009)	Loss 2.0190 (2.2273)	Prec@1 51.562 (44.285)	Prec@5 76.562 (74.742)
Epoch: [32][530/14090]	Time 0.744 (0.758)	Data 0.002 (0.009)	Loss 2.2363 (2.2262)	Prec@1 41.406 (44.271)	Prec@5 76.562 (74.766)
Epoch: [32][540/14090]	Time 0.750 (0.758)	Data 0.002 (0.009)	Loss 2.1293 (2.2258)	Prec@1 39.844 (44.273)	Prec@5 76.562 (74.779)
Epoch: [32][550/14090]	Time 0.767 (0.758)	Data 0.001 (0.009)	Loss 2.2774 (2.2267)	Prec@1 46.875 (44.289)	Prec@5 73.438 (74.756)
Epoch: [32][560/14090]	Time 0.731 (0.758)	Data 0.001 (0.009)	Loss 2.5740 (2.2268)	Prec@1 32.031 (44.279)	Prec@5 68.750 (74.777)
Epoch: [32][570/14090]	Time 0.751 (0.758)	Data 0.001 (0.009)	Loss 2.2161 (2.2267)	Prec@1 46.875 (44.286)	Prec@5 73.438 (74.754)
Epoch: [32][580/14090]	Time 0.738 (0.757)	Data 0.001 (0.008)	Loss 2.4000 (2.2270)	Prec@1 45.312 (44.260)	Prec@5 68.750 (74.751)
Epoch: [32][590/14090]	Time 0.758 (0.757)	Data 0.001 (0.008)	Loss 2.0947 (2.2269)	Prec@1 46.094 (44.231)	Prec@5 74.219 (74.750)
Epoch: [32][600/14090]	Time 0.737 (0.757)	Data 0.001 (0.008)	Loss 2.4757 (2.2280)	Prec@1 41.406 (44.195)	Prec@5 71.094 (74.728)
Epoch: [32][610/14090]	Time 0.763 (0.757)	Data 0.002 (0.008)	Loss 2.1268 (2.2288)	Prec@1 42.188 (44.208)	Prec@5 78.125 (74.717)
Epoch: [32][620/14090]	Time 0.748 (0.757)	Data 0.002 (0.008)	Loss 2.2398 (2.2276)	Prec@1 45.312 (44.209)	Prec@5 70.312 (74.722)
Epoch: [32][630/14090]	Time 0.754 (0.757)	Data 0.001 (0.008)	Loss 2.0775 (2.2272)	Prec@1 48.438 (44.206)	Prec@5 77.344 (74.731)
Epoch: [32][640/14090]	Time 0.723 (0.757)	Data 0.001 (0.008)	Loss 2.3672 (2.2283)	Prec@1 40.625 (44.151)	Prec@5 71.094 (74.711)
Epoch: [32][650/14090]	Time 0.750 (0.757)	Data 0.001 (0.008)	Loss 2.1061 (2.2276)	Prec@1 46.875 (44.156)	Prec@5 81.250 (74.732)
Epoch: [32][660/14090]	Time 0.772 (0.757)	Data 0.001 (0.008)	Loss 2.2972 (2.2274)	Prec@1 39.062 (44.138)	Prec@5 68.750 (74.738)
Epoch: [32][670/14090]	Time 0.741 (0.757)	Data 0.001 (0.007)	Loss 2.1272 (2.2268)	Prec@1 46.094 (44.141)	Prec@5 73.438 (74.729)
Epoch: [32][680/14090]	Time 0.745 (0.757)	Data 0.002 (0.007)	Loss 2.1715 (2.2267)	Prec@1 50.000 (44.145)	Prec@5 76.562 (74.728)
Epoch: [32][690/14090]	Time 0.735 (0.756)	Data 0.001 (0.007)	Loss 2.1211 (2.2271)	Prec@1 54.688 (44.138)	Prec@5 73.438 (74.707)
Epoch: [32][700/14090]	Time 0.744 (0.756)	Data 0.001 (0.007)	Loss 2.5917 (2.2279)	Prec@1 35.938 (44.131)	Prec@5 68.750 (74.686)
Epoch: [32][710/14090]	Time 0.769 (0.756)	Data 0.001 (0.007)	Loss 2.2789 (2.2295)	Prec@1 40.625 (44.101)	Prec@5 73.438 (74.649)
Epoch: [32][720/14090]	Time 0.756 (0.756)	Data 0.001 (0.007)	Loss 2.0306 (2.2292)	Prec@1 46.875 (44.126)	Prec@5 78.906 (74.660)
Epoch: [32][730/14090]	Time 0.733 (0.756)	Data 0.001 (0.007)	Loss 2.3818 (2.2295)	Prec@1 49.219 (44.129)	Prec@5 72.656 (74.644)
Epoch: [32][740/14090]	Time 0.780 (0.756)	Data 0.001 (0.007)	Loss 2.1138 (2.2296)	Prec@1 50.000 (44.139)	Prec@5 77.344 (74.634)
Epoch: [32][750/14090]	Time 0.784 (0.756)	Data 0.002 (0.007)	Loss 2.6217 (2.2291)	Prec@1 38.281 (44.133)	Prec@5 63.281 (74.624)
Epoch: [32][760/14090]	Time 0.765 (0.756)	Data 0.001 (0.007)	Loss 2.3560 (2.2288)	Prec@1 42.969 (44.129)	Prec@5 72.656 (74.639)
Epoch: [32][770/14090]	Time 0.740 (0.756)	Data 0.001 (0.007)	Loss 1.9306 (2.2274)	Prec@1 50.000 (44.143)	Prec@5 75.000 (74.643)
Epoch: [32][780/14090]	Time 0.733 (0.756)	Data 0.001 (0.007)	Loss 2.0828 (2.2263)	Prec@1 45.312 (44.164)	Prec@5 74.219 (74.639)
Epoch: [32][790/14090]	Time 0.763 (0.756)	Data 0.001 (0.006)	Loss 2.1961 (2.2275)	Prec@1 45.312 (44.167)	Prec@5 75.781 (74.628)
Epoch: [32][800/14090]	Time 0.745 (0.756)	Data 0.001 (0.006)	Loss 2.2371 (2.2277)	Prec@1 46.094 (44.166)	Prec@5 74.219 (74.618)
Epoch: [32][810/14090]	Time 0.756 (0.756)	Data 0.001 (0.006)	Loss 2.0686 (2.2269)	Prec@1 50.781 (44.183)	Prec@5 77.344 (74.634)
Epoch: [32][820/14090]	Time 0.761 (0.756)	Data 0.002 (0.006)	Loss 2.0547 (2.2272)	Prec@1 47.656 (44.184)	Prec@5 74.219 (74.630)
Epoch: [32][830/14090]	Time 0.768 (0.756)	Data 0.001 (0.006)	Loss 2.6927 (2.2271)	Prec@1 35.938 (44.184)	Prec@5 67.969 (74.643)
Epoch: [32][840/14090]	Time 0.742 (0.756)	Data 0.001 (0.006)	Loss 2.3809 (2.2283)	Prec@1 39.062 (44.149)	Prec@5 71.094 (74.611)
Epoch: [32][850/14090]	Time 0.762 (0.756)	Data 0.001 (0.006)	Loss 2.3664 (2.2285)	Prec@1 32.812 (44.131)	Prec@5 67.969 (74.606)
Epoch: [32][860/14090]	Time 0.730 (0.755)	Data 0.001 (0.006)	Loss 2.0799 (2.2279)	Prec@1 51.562 (44.161)	Prec@5 82.031 (74.614)
Epoch: [32][870/14090]	Time 0.784 (0.755)	Data 0.001 (0.006)	Loss 2.4641 (2.2282)	Prec@1 38.281 (44.128)	Prec@5 71.094 (74.595)
Epoch: [32][880/14090]	Time 0.749 (0.755)	Data 0.001 (0.006)	Loss 2.2361 (2.2288)	Prec@1 44.531 (44.120)	Prec@5 73.438 (74.573)
Epoch: [32][890/14090]	Time 0.746 (0.755)	Data 0.001 (0.006)	Loss 2.3315 (2.2291)	Prec@1 39.844 (44.118)	Prec@5 67.969 (74.570)
Epoch: [32][900/14090]	Time 0.727 (0.755)	Data 0.001 (0.006)	Loss 2.5250 (2.2308)	Prec@1 35.156 (44.088)	Prec@5 68.750 (74.538)
Epoch: [32][910/14090]	Time 0.759 (0.755)	Data 0.001 (0.006)	Loss 2.5059 (2.2310)	Prec@1 39.844 (44.084)	Prec@5 66.406 (74.551)
Epoch: [32][920/14090]	Time 0.770 (0.755)	Data 0.001 (0.006)	Loss 2.4794 (2.2314)	Prec@1 35.938 (44.061)	Prec@5 69.531 (74.551)
Epoch: [32][930/14090]	Time 0.747 (0.755)	Data 0.001 (0.006)	Loss 2.1703 (2.2319)	Prec@1 46.094 (44.050)	Prec@5 74.219 (74.538)
Epoch: [32][940/14090]	Time 0.738 (0.755)	Data 0.001 (0.006)	Loss 2.0498 (2.2324)	Prec@1 47.656 (44.042)	Prec@5 76.562 (74.506)
Epoch: [32][950/14090]	Time 0.761 (0.755)	Data 0.001 (0.006)	Loss 2.2703 (2.2334)	Prec@1 42.188 (44.019)	Prec@5 72.656 (74.487)
Epoch: [32][960/14090]	Time 0.751 (0.755)	Data 0.002 (0.006)	Loss 2.0318 (2.2328)	Prec@1 44.531 (44.017)	Prec@5 78.125 (74.514)
Epoch: [32][970/14090]	Time 0.757 (0.755)	Data 0.001 (0.005)	Loss 2.2147 (2.2332)	Prec@1 44.531 (44.003)	Prec@5 76.562 (74.504)
Epoch: [32][980/14090]	Time 0.735 (0.755)	Data 0.001 (0.005)	Loss 2.2716 (2.2328)	Prec@1 42.188 (44.011)	Prec@5 73.438 (74.511)
Epoch: [32][990/14090]	Time 0.755 (0.755)	Data 0.001 (0.005)	Loss 2.0898 (2.2317)	Prec@1 45.312 (44.018)	Prec@5 76.562 (74.533)
Epoch: [32][1000/14090]	Time 0.729 (0.755)	Data 0.001 (0.005)	Loss 1.9893 (2.2320)	Prec@1 45.312 (44.013)	Prec@5 80.469 (74.523)
Epoch: [32][1010/14090]	Time 0.745 (0.755)	Data 0.001 (0.005)	Loss 2.5448 (2.2318)	Prec@1 37.500 (44.018)	Prec@5 70.312 (74.540)
Epoch: [32][1020/14090]	Time 0.763 (0.755)	Data 0.002 (0.005)	Loss 2.4449 (2.2320)	Prec@1 39.062 (44.015)	Prec@5 67.188 (74.541)
Epoch: [32][1030/14090]	Time 0.780 (0.755)	Data 0.002 (0.005)	Loss 2.3578 (2.2326)	Prec@1 45.312 (44.010)	Prec@5 73.438 (74.523)
Epoch: [32][1040/14090]	Time 0.734 (0.755)	Data 0.001 (0.005)	Loss 2.2370 (2.2328)	Prec@1 46.094 (44.000)	Prec@5 75.781 (74.529)
Epoch: [32][1050/14090]	Time 0.766 (0.755)	Data 0.001 (0.005)	Loss 2.1783 (2.2330)	Prec@1 46.875 (43.983)	Prec@5 76.562 (74.519)
Epoch: [32][1060/14090]	Time 0.734 (0.755)	Data 0.001 (0.005)	Loss 2.0645 (2.2337)	Prec@1 43.750 (43.958)	Prec@5 75.000 (74.504)
Epoch: [32][1070/14090]	Time 0.751 (0.755)	Data 0.001 (0.005)	Loss 2.3600 (2.2335)	Prec@1 46.094 (43.970)	Prec@5 75.000 (74.527)
Epoch: [32][1080/14090]	Time 0.753 (0.755)	Data 0.001 (0.005)	Loss 2.2685 (2.2336)	Prec@1 43.750 (43.976)	Prec@5 73.438 (74.524)
Epoch: [32][1090/14090]	Time 0.737 (0.755)	Data 0.001 (0.005)	Loss 2.1085 (2.2339)	Prec@1 36.719 (43.952)	Prec@5 78.906 (74.523)
Epoch: [32][1100/14090]	Time 0.741 (0.755)	Data 0.002 (0.005)	Loss 1.9443 (2.2335)	Prec@1 50.000 (43.970)	Prec@5 79.688 (74.532)
Epoch: [32][1110/14090]	Time 0.766 (0.755)	Data 0.001 (0.005)	Loss 2.2116 (2.2326)	Prec@1 43.750 (43.992)	Prec@5 75.781 (74.544)
Epoch: [32][1120/14090]	Time 0.760 (0.755)	Data 0.001 (0.005)	Loss 2.4628 (2.2327)	Prec@1 46.094 (43.993)	Prec@5 71.094 (74.547)
Epoch: [32][1130/14090]	Time 0.763 (0.755)	Data 0.001 (0.005)	Loss 2.4663 (2.2328)	Prec@1 35.156 (43.982)	Prec@5 71.094 (74.545)
Epoch: [32][1140/14090]	Time 0.741 (0.754)	Data 0.001 (0.005)	Loss 2.0685 (2.2321)	Prec@1 50.000 (44.005)	Prec@5 74.219 (74.561)
Epoch: [32][1150/14090]	Time 0.761 (0.754)	Data 0.001 (0.005)	Loss 2.1745 (2.2320)	Prec@1 43.750 (44.008)	Prec@5 78.125 (74.559)
Epoch: [32][1160/14090]	Time 0.734 (0.754)	Data 0.001 (0.005)	Loss 2.1344 (2.2321)	Prec@1 46.094 (44.003)	Prec@5 75.781 (74.555)
Epoch: [32][1170/14090]	Time 0.739 (0.754)	Data 0.002 (0.005)	Loss 2.1779 (2.2313)	Prec@1 39.844 (44.018)	Prec@5 75.781 (74.576)
Epoch: [32][1180/14090]	Time 0.765 (0.754)	Data 0.002 (0.005)	Loss 2.0434 (2.2305)	Prec@1 50.000 (44.036)	Prec@5 80.469 (74.596)
Epoch: [32][1190/14090]	Time 0.723 (0.754)	Data 0.001 (0.005)	Loss 2.3585 (2.2307)	Prec@1 40.625 (44.037)	Prec@5 74.219 (74.595)
Epoch: [32][1200/14090]	Time 0.755 (0.754)	Data 0.001 (0.005)	Loss 2.2484 (2.2303)	Prec@1 40.625 (44.051)	Prec@5 74.219 (74.605)
Epoch: [32][1210/14090]	Time 0.739 (0.754)	Data 0.001 (0.005)	Loss 2.1403 (2.2303)	Prec@1 48.438 (44.060)	Prec@5 78.125 (74.606)
Epoch: [32][1220/14090]	Time 0.739 (0.754)	Data 0.001 (0.005)	Loss 2.3634 (2.2302)	Prec@1 42.969 (44.058)	Prec@5 70.312 (74.612)
Epoch: [32][1230/14090]	Time 0.768 (0.754)	Data 0.001 (0.005)	Loss 2.1746 (2.2300)	Prec@1 48.438 (44.062)	Prec@5 71.875 (74.615)
Epoch: [32][1240/14090]	Time 0.769 (0.754)	Data 0.002 (0.004)	Loss 2.2882 (2.2296)	Prec@1 41.406 (44.067)	Prec@5 74.219 (74.627)
Epoch: [32][1250/14090]	Time 0.761 (0.754)	Data 0.001 (0.004)	Loss 2.2603 (2.2299)	Prec@1 48.438 (44.075)	Prec@5 74.219 (74.622)
Epoch: [32][1260/14090]	Time 0.759 (0.754)	Data 0.001 (0.004)	Loss 1.9036 (2.2297)	Prec@1 48.438 (44.075)	Prec@5 80.469 (74.623)
Epoch: [32][1270/14090]	Time 0.750 (0.754)	Data 0.001 (0.004)	Loss 2.0098 (2.2297)	Prec@1 44.531 (44.071)	Prec@5 82.031 (74.622)
Epoch: [32][1280/14090]	Time 0.732 (0.754)	Data 0.001 (0.004)	Loss 2.4680 (2.2298)	Prec@1 42.188 (44.077)	Prec@5 67.969 (74.617)
Epoch: [32][1290/14090]	Time 0.750 (0.754)	Data 0.001 (0.004)	Loss 2.3352 (2.2290)	Prec@1 39.844 (44.097)	Prec@5 71.094 (74.622)
Epoch: [32][1300/14090]	Time 0.786 (0.754)	Data 0.001 (0.004)	Loss 2.3758 (2.2288)	Prec@1 39.062 (44.102)	Prec@5 75.781 (74.629)
Epoch: [32][1310/14090]	Time 0.755 (0.754)	Data 0.002 (0.004)	Loss 2.4245 (2.2287)	Prec@1 36.719 (44.093)	Prec@5 69.531 (74.636)
Epoch: [32][1320/14090]	Time 0.774 (0.754)	Data 0.001 (0.004)	Loss 2.3529 (2.2287)	Prec@1 41.406 (44.085)	Prec@5 71.875 (74.636)
Epoch: [32][1330/14090]	Time 0.777 (0.754)	Data 0.001 (0.004)	Loss 2.0664 (2.2284)	Prec@1 46.875 (44.082)	Prec@5 75.781 (74.648)
Epoch: [32][1340/14090]	Time 0.756 (0.754)	Data 0.001 (0.004)	Loss 2.0201 (2.2281)	Prec@1 46.094 (44.087)	Prec@5 75.781 (74.655)
Epoch: [32][1350/14090]	Time 0.792 (0.754)	Data 0.001 (0.004)	Loss 2.5587 (2.2286)	Prec@1 38.281 (44.084)	Prec@5 70.312 (74.650)
Epoch: [32][1360/14090]	Time 0.773 (0.754)	Data 0.001 (0.004)	Loss 2.0668 (2.2283)	Prec@1 44.531 (44.083)	Prec@5 79.688 (74.661)
Epoch: [32][1370/14090]	Time 0.746 (0.754)	Data 0.001 (0.004)	Loss 2.0162 (2.2279)	Prec@1 46.875 (44.088)	Prec@5 78.906 (74.667)
Epoch: [32][1380/14090]	Time 0.742 (0.754)	Data 0.002 (0.004)	Loss 2.1630 (2.2279)	Prec@1 44.531 (44.088)	Prec@5 74.219 (74.663)
Epoch: [32][1390/14090]	Time 0.774 (0.754)	Data 0.001 (0.004)	Loss 2.5717 (2.2287)	Prec@1 43.750 (44.088)	Prec@5 66.406 (74.647)
Epoch: [32][1400/14090]	Time 0.744 (0.754)	Data 0.001 (0.004)	Loss 1.9964 (2.2291)	Prec@1 58.594 (44.099)	Prec@5 80.469 (74.646)
Epoch: [32][1410/14090]	Time 0.731 (0.754)	Data 0.001 (0.004)	Loss 1.9591 (2.2284)	Prec@1 53.906 (44.117)	Prec@5 78.906 (74.662)
Epoch: [32][1420/14090]	Time 0.756 (0.754)	Data 0.001 (0.004)	Loss 2.1998 (2.2282)	Prec@1 50.000 (44.125)	Prec@5 81.250 (74.676)
Epoch: [32][1430/14090]	Time 0.759 (0.754)	Data 0.001 (0.004)	Loss 2.1611 (2.2278)	Prec@1 46.875 (44.124)	Prec@5 77.344 (74.684)
Epoch: [32][1440/14090]	Time 0.759 (0.754)	Data 0.001 (0.004)	Loss 2.1242 (2.2276)	Prec@1 44.531 (44.125)	Prec@5 75.000 (74.683)
Epoch: [32][1450/14090]	Time 0.728 (0.754)	Data 0.002 (0.004)	Loss 2.0429 (2.2275)	Prec@1 53.906 (44.124)	Prec@5 77.344 (74.673)
Epoch: [32][1460/14090]	Time 0.733 (0.754)	Data 0.001 (0.004)	Loss 2.2019 (2.2276)	Prec@1 46.094 (44.124)	Prec@5 75.781 (74.675)
Epoch: [32][1470/14090]	Time 0.764 (0.754)	Data 0.001 (0.004)	Loss 2.2166 (2.2276)	Prec@1 45.312 (44.125)	Prec@5 78.125 (74.675)
Epoch: [32][1480/14090]	Time 0.777 (0.754)	Data 0.001 (0.004)	Loss 2.1196 (2.2271)	Prec@1 44.531 (44.135)	Prec@5 77.344 (74.686)
Epoch: [32][1490/14090]	Time 0.775 (0.754)	Data 0.001 (0.004)	Loss 2.1609 (2.2273)	Prec@1 40.625 (44.126)	Prec@5 76.562 (74.679)
Epoch: [32][1500/14090]	Time 0.767 (0.754)	Data 0.001 (0.004)	Loss 2.2930 (2.2275)	Prec@1 42.969 (44.112)	Prec@5 69.531 (74.684)
Epoch: [32][1510/14090]	Time 0.744 (0.754)	Data 0.001 (0.004)	Loss 2.4778 (2.2269)	Prec@1 45.312 (44.124)	Prec@5 71.094 (74.690)
Epoch: [32][1520/14090]	Time 0.753 (0.754)	Data 0.002 (0.004)	Loss 2.3728 (2.2270)	Prec@1 42.969 (44.118)	Prec@5 71.094 (74.688)
Epoch: [32][1530/14090]	Time 0.734 (0.754)	Data 0.001 (0.004)	Loss 2.2759 (2.2278)	Prec@1 43.750 (44.109)	Prec@5 71.094 (74.673)
Epoch: [32][1540/14090]	Time 0.744 (0.754)	Data 0.001 (0.004)	Loss 2.2798 (2.2280)	Prec@1 38.281 (44.098)	Prec@5 76.562 (74.677)
Epoch: [32][1550/14090]	Time 0.770 (0.754)	Data 0.001 (0.004)	Loss 2.1592 (2.2279)	Prec@1 42.969 (44.094)	Prec@5 71.875 (74.676)
Epoch: [32][1560/14090]	Time 0.718 (0.754)	Data 0.001 (0.004)	Loss 2.3681 (2.2273)	Prec@1 41.406 (44.107)	Prec@5 73.438 (74.684)
Epoch: [32][1570/14090]	Time 0.729 (0.754)	Data 0.001 (0.004)	Loss 2.0900 (2.2267)	Prec@1 42.188 (44.121)	Prec@5 77.344 (74.699)
Epoch: [32][1580/14090]	Time 0.754 (0.754)	Data 0.001 (0.004)	Loss 2.1486 (2.2263)	Prec@1 46.875 (44.138)	Prec@5 76.562 (74.706)
Epoch: [32][1590/14090]	Time 0.751 (0.754)	Data 0.002 (0.004)	Loss 2.2162 (2.2261)	Prec@1 42.969 (44.129)	Prec@5 80.469 (74.713)
Epoch: [32][1600/14090]	Time 0.741 (0.754)	Data 0.001 (0.004)	Loss 2.3286 (2.2261)	Prec@1 45.312 (44.127)	Prec@5 68.750 (74.706)
Epoch: [32][1610/14090]	Time 0.742 (0.754)	Data 0.001 (0.004)	Loss 2.2869 (2.2264)	Prec@1 45.312 (44.118)	Prec@5 71.875 (74.702)
Epoch: [32][1620/14090]	Time 0.745 (0.753)	Data 0.001 (0.004)	Loss 2.3481 (2.2266)	Prec@1 47.656 (44.124)	Prec@5 67.969 (74.701)
Epoch: [32][1630/14090]	Time 0.781 (0.753)	Data 0.001 (0.004)	Loss 2.1036 (2.2266)	Prec@1 50.000 (44.125)	Prec@5 77.344 (74.698)
Epoch: [32][1640/14090]	Time 0.734 (0.753)	Data 0.001 (0.004)	Loss 2.3865 (2.2268)	Prec@1 42.969 (44.129)	Prec@5 75.000 (74.698)
Epoch: [32][1650/14090]	Time 0.729 (0.753)	Data 0.001 (0.004)	Loss 2.1320 (2.2267)	Prec@1 41.406 (44.128)	Prec@5 76.562 (74.700)
Epoch: [32][1660/14090]	Time 0.751 (0.753)	Data 0.002 (0.004)	Loss 2.0173 (2.2263)	Prec@1 46.875 (44.131)	Prec@5 76.562 (74.707)
Epoch: [32][1670/14090]	Time 0.757 (0.753)	Data 0.001 (0.004)	Loss 2.1566 (2.2262)	Prec@1 41.406 (44.125)	Prec@5 71.875 (74.703)
Epoch: [32][1680/14090]	Time 0.737 (0.753)	Data 0.001 (0.004)	Loss 2.2240 (2.2263)	Prec@1 39.844 (44.124)	Prec@5 73.438 (74.699)
Epoch: [32][1690/14090]	Time 0.749 (0.753)	Data 0.001 (0.004)	Loss 1.7996 (2.2263)	Prec@1 51.562 (44.125)	Prec@5 79.688 (74.698)
Epoch: [32][1700/14090]	Time 0.749 (0.753)	Data 0.001 (0.004)	Loss 2.1811 (2.2263)	Prec@1 39.062 (44.121)	Prec@5 74.219 (74.701)
Epoch: [32][1710/14090]	Time 0.732 (0.753)	Data 0.001 (0.004)	Loss 1.9991 (2.2264)	Prec@1 56.250 (44.113)	Prec@5 76.562 (74.691)
Epoch: [32][1720/14090]	Time 0.783 (0.753)	Data 0.001 (0.004)	Loss 2.2716 (2.2265)	Prec@1 43.750 (44.117)	Prec@5 69.531 (74.692)
Epoch: [32][1730/14090]	Time 0.753 (0.753)	Data 0.002 (0.004)	Loss 2.4072 (2.2265)	Prec@1 36.719 (44.111)	Prec@5 78.906 (74.694)
Epoch: [32][1740/14090]	Time 0.743 (0.753)	Data 0.001 (0.003)	Loss 2.0187 (2.2264)	Prec@1 47.656 (44.116)	Prec@5 81.250 (74.696)
Epoch: [32][1750/14090]	Time 0.772 (0.753)	Data 0.001 (0.003)	Loss 2.2608 (2.2264)	Prec@1 36.719 (44.121)	Prec@5 73.438 (74.697)
Epoch: [32][1760/14090]	Time 0.762 (0.753)	Data 0.001 (0.003)	Loss 2.3630 (2.2265)	Prec@1 42.969 (44.112)	Prec@5 72.656 (74.696)
Epoch: [32][1770/14090]	Time 0.728 (0.753)	Data 0.001 (0.003)	Loss 2.4749 (2.2272)	Prec@1 42.188 (44.095)	Prec@5 63.281 (74.670)
Epoch: [32][1780/14090]	Time 0.772 (0.753)	Data 0.001 (0.003)	Loss 1.9972 (2.2269)	Prec@1 51.562 (44.105)	Prec@5 78.125 (74.682)
Epoch: [32][1790/14090]	Time 0.766 (0.753)	Data 0.002 (0.003)	Loss 2.0882 (2.2267)	Prec@1 45.312 (44.112)	Prec@5 75.781 (74.685)
Epoch: [32][1800/14090]	Time 0.736 (0.753)	Data 0.003 (0.003)	Loss 2.3005 (2.2265)	Prec@1 41.406 (44.113)	Prec@5 74.219 (74.687)
Epoch: [32][1810/14090]	Time 0.751 (0.753)	Data 0.001 (0.003)	Loss 2.1928 (2.2263)	Prec@1 46.875 (44.124)	Prec@5 74.219 (74.692)
Epoch: [32][1820/14090]	Time 0.737 (0.753)	Data 0.001 (0.003)	Loss 2.1667 (2.2267)	Prec@1 46.875 (44.125)	Prec@5 75.781 (74.674)
Epoch: [32][1830/14090]	Time 0.764 (0.753)	Data 0.001 (0.003)	Loss 2.0662 (2.2266)	Prec@1 48.438 (44.127)	Prec@5 75.000 (74.672)
Epoch: [32][1840/14090]	Time 0.735 (0.753)	Data 0.001 (0.003)	Loss 2.0017 (2.2261)	Prec@1 43.750 (44.137)	Prec@5 81.250 (74.687)
Epoch: [32][1850/14090]	Time 0.757 (0.753)	Data 0.001 (0.003)	Loss 2.2373 (2.2261)	Prec@1 42.969 (44.137)	Prec@5 75.781 (74.695)
Epoch: [32][1860/14090]	Time 0.768 (0.753)	Data 0.002 (0.003)	Loss 2.2825 (2.2260)	Prec@1 42.188 (44.139)	Prec@5 72.656 (74.696)
Epoch: [32][1870/14090]	Time 0.752 (0.753)	Data 0.002 (0.003)	Loss 2.0584 (2.2261)	Prec@1 50.781 (44.137)	Prec@5 75.781 (74.691)
Epoch: [32][1880/14090]	Time 0.755 (0.753)	Data 0.001 (0.003)	Loss 2.2323 (2.2263)	Prec@1 40.625 (44.124)	Prec@5 72.656 (74.692)
Epoch: [32][1890/14090]	Time 0.749 (0.753)	Data 0.001 (0.003)	Loss 2.1133 (2.2261)	Prec@1 49.219 (44.129)	Prec@5 77.344 (74.690)
Epoch: [32][1900/14090]	Time 0.741 (0.753)	Data 0.001 (0.003)	Loss 2.0222 (2.2259)	Prec@1 46.875 (44.133)	Prec@5 77.344 (74.689)
Epoch: [32][1910/14090]	Time 0.756 (0.753)	Data 0.001 (0.003)	Loss 2.4752 (2.2264)	Prec@1 39.062 (44.124)	Prec@5 71.094 (74.683)
Epoch: [32][1920/14090]	Time 0.757 (0.753)	Data 0.001 (0.003)	Loss 2.3236 (2.2264)	Prec@1 45.312 (44.123)	Prec@5 71.094 (74.684)
Epoch: [32][1930/14090]	Time 0.743 (0.753)	Data 0.001 (0.003)	Loss 2.1520 (2.2263)	Prec@1 45.312 (44.132)	Prec@5 75.781 (74.686)
Epoch: [32][1940/14090]	Time 0.760 (0.753)	Data 0.002 (0.003)	Loss 2.3608 (2.2264)	Prec@1 39.062 (44.126)	Prec@5 71.094 (74.686)
Epoch: [32][1950/14090]	Time 0.742 (0.753)	Data 0.001 (0.003)	Loss 2.2530 (2.2264)	Prec@1 42.188 (44.125)	Prec@5 74.219 (74.688)
Epoch: [32][1960/14090]	Time 0.747 (0.753)	Data 0.001 (0.003)	Loss 2.1321 (2.2265)	Prec@1 50.781 (44.131)	Prec@5 82.031 (74.688)
Epoch: [32][1970/14090]	Time 0.747 (0.753)	Data 0.001 (0.003)	Loss 2.0120 (2.2266)	Prec@1 47.656 (44.131)	Prec@5 80.469 (74.685)
Epoch: [32][1980/14090]	Time 0.729 (0.753)	Data 0.001 (0.003)	Loss 2.1921 (2.2266)	Prec@1 44.531 (44.128)	Prec@5 74.219 (74.688)
Epoch: [32][1990/14090]	Time 0.775 (0.753)	Data 0.001 (0.003)	Loss 2.3427 (2.2267)	Prec@1 40.625 (44.117)	Prec@5 74.219 (74.692)
Epoch: [32][2000/14090]	Time 0.738 (0.753)	Data 0.001 (0.003)	Loss 2.2566 (2.2267)	Prec@1 43.750 (44.115)	Prec@5 74.219 (74.702)
Epoch: [32][2010/14090]	Time 0.732 (0.753)	Data 0.002 (0.003)	Loss 2.1060 (2.2267)	Prec@1 42.188 (44.111)	Prec@5 77.344 (74.707)
Epoch: [32][2020/14090]	Time 0.768 (0.753)	Data 0.001 (0.003)	Loss 2.0915 (2.2265)	Prec@1 46.875 (44.118)	Prec@5 78.906 (74.710)
Epoch: [32][2030/14090]	Time 0.752 (0.753)	Data 0.003 (0.003)	Loss 2.1917 (2.2263)	Prec@1 39.062 (44.115)	Prec@5 72.656 (74.721)
Epoch: [32][2040/14090]	Time 0.740 (0.753)	Data 0.001 (0.003)	Loss 2.2912 (2.2264)	Prec@1 36.719 (44.115)	Prec@5 74.219 (74.720)
Epoch: [32][2050/14090]	Time 0.767 (0.753)	Data 0.001 (0.003)	Loss 2.0965 (2.2267)	Prec@1 42.188 (44.113)	Prec@5 78.125 (74.714)
Epoch: [32][2060/14090]	Time 0.758 (0.753)	Data 0.001 (0.003)	Loss 2.3892 (2.2266)	Prec@1 41.406 (44.111)	Prec@5 70.312 (74.714)
Epoch: [32][2070/14090]	Time 0.759 (0.753)	Data 0.001 (0.003)	Loss 2.2734 (2.2267)	Prec@1 41.406 (44.102)	Prec@5 74.219 (74.717)
Epoch: [32][2080/14090]	Time 0.732 (0.753)	Data 0.002 (0.003)	Loss 2.3196 (2.2265)	Prec@1 42.188 (44.102)	Prec@5 75.000 (74.725)
Epoch: [32][2090/14090]	Time 0.738 (0.753)	Data 0.001 (0.003)	Loss 2.1743 (2.2264)	Prec@1 46.875 (44.106)	Prec@5 78.906 (74.728)
Epoch: [32][2100/14090]	Time 0.762 (0.753)	Data 0.002 (0.003)	Loss 2.2276 (2.2264)	Prec@1 50.781 (44.105)	Prec@5 75.000 (74.725)
Epoch: [32][2110/14090]	Time 0.762 (0.753)	Data 0.001 (0.003)	Loss 2.1432 (2.2265)	Prec@1 44.531 (44.105)	Prec@5 75.781 (74.722)
Epoch: [32][2120/14090]	Time 0.760 (0.753)	Data 0.001 (0.003)	Loss 2.1782 (2.2264)	Prec@1 42.188 (44.107)	Prec@5 75.781 (74.734)
Epoch: [32][2130/14090]	Time 0.761 (0.753)	Data 0.001 (0.003)	Loss 2.2206 (2.2268)	Prec@1 42.188 (44.100)	Prec@5 78.125 (74.729)
Epoch: [32][2140/14090]	Time 0.738 (0.753)	Data 0.001 (0.003)	Loss 2.5154 (2.2274)	Prec@1 37.500 (44.090)	Prec@5 71.094 (74.718)
Epoch: [32][2150/14090]	Time 0.759 (0.753)	Data 0.003 (0.003)	Loss 2.2507 (2.2276)	Prec@1 42.188 (44.081)	Prec@5 72.656 (74.719)
Epoch: [32][2160/14090]	Time 0.789 (0.753)	Data 0.001 (0.003)	Loss 2.2807 (2.2279)	Prec@1 41.406 (44.080)	Prec@5 75.000 (74.715)
Epoch: [32][2170/14090]	Time 0.765 (0.753)	Data 0.001 (0.003)	Loss 2.0539 (2.2276)	Prec@1 40.625 (44.080)	Prec@5 78.125 (74.725)
Epoch: [32][2180/14090]	Time 0.769 (0.753)	Data 0.001 (0.003)	Loss 2.5420 (2.2280)	Prec@1 48.438 (44.078)	Prec@5 71.094 (74.721)
Epoch: [32][2190/14090]	Time 0.748 (0.753)	Data 0.001 (0.003)	Loss 2.2535 (2.2283)	Prec@1 44.531 (44.068)	Prec@5 73.438 (74.710)
Epoch: [32][2200/14090]	Time 0.749 (0.753)	Data 0.001 (0.003)	Loss 2.0198 (2.2281)	Prec@1 50.781 (44.069)	Prec@5 78.906 (74.713)
Epoch: [32][2210/14090]	Time 0.744 (0.753)	Data 0.001 (0.003)	Loss 1.9017 (2.2283)	Prec@1 49.219 (44.063)	Prec@5 80.469 (74.715)
Epoch: [32][2220/14090]	Time 0.755 (0.753)	Data 0.002 (0.003)	Loss 2.5471 (2.2282)	Prec@1 39.844 (44.066)	Prec@5 63.281 (74.712)
Epoch: [32][2230/14090]	Time 0.763 (0.753)	Data 0.001 (0.003)	Loss 2.1884 (2.2284)	Prec@1 42.969 (44.069)	Prec@5 76.562 (74.704)
Epoch: [32][2240/14090]	Time 0.728 (0.753)	Data 0.001 (0.003)	Loss 2.1102 (2.2279)	Prec@1 47.656 (44.079)	Prec@5 76.562 (74.711)
Epoch: [32][2250/14090]	Time 0.779 (0.753)	Data 0.001 (0.003)	Loss 2.0633 (2.2280)	Prec@1 49.219 (44.071)	Prec@5 79.688 (74.715)
Epoch: [32][2260/14090]	Time 0.727 (0.753)	Data 0.001 (0.003)	Loss 2.5508 (2.2277)	Prec@1 39.844 (44.083)	Prec@5 67.188 (74.718)
Epoch: [32][2270/14090]	Time 0.760 (0.753)	Data 0.001 (0.003)	Loss 2.3836 (2.2281)	Prec@1 39.844 (44.075)	Prec@5 74.219 (74.710)
Epoch: [32][2280/14090]	Time 0.744 (0.753)	Data 0.001 (0.003)	Loss 2.1441 (2.2281)	Prec@1 40.625 (44.073)	Prec@5 76.562 (74.712)
Epoch: [32][2290/14090]	Time 0.749 (0.753)	Data 0.002 (0.003)	Loss 2.3028 (2.2281)	Prec@1 39.844 (44.071)	Prec@5 74.219 (74.709)
Epoch: [32][2300/14090]	Time 0.748 (0.753)	Data 0.001 (0.003)	Loss 2.3002 (2.2284)	Prec@1 40.625 (44.062)	Prec@5 78.906 (74.712)
Epoch: [32][2310/14090]	Time 0.732 (0.753)	Data 0.001 (0.003)	Loss 2.2654 (2.2285)	Prec@1 44.531 (44.057)	Prec@5 75.781 (74.709)
Epoch: [32][2320/14090]	Time 0.752 (0.753)	Data 0.001 (0.003)	Loss 2.0280 (2.2288)	Prec@1 45.312 (44.057)	Prec@5 81.250 (74.702)
Epoch: [32][2330/14090]	Time 0.734 (0.753)	Data 0.001 (0.003)	Loss 2.3737 (2.2288)	Prec@1 41.406 (44.059)	Prec@5 72.656 (74.705)
Epoch: [32][2340/14090]	Time 0.738 (0.753)	Data 0.001 (0.003)	Loss 2.2387 (2.2292)	Prec@1 45.312 (44.051)	Prec@5 70.312 (74.701)
Epoch: [32][2350/14090]	Time 0.792 (0.753)	Data 0.001 (0.003)	Loss 2.0436 (2.2291)	Prec@1 49.219 (44.051)	Prec@5 78.125 (74.703)
Epoch: [32][2360/14090]	Time 0.735 (0.753)	Data 0.002 (0.003)	Loss 2.6799 (2.2292)	Prec@1 37.500 (44.043)	Prec@5 67.188 (74.709)
Epoch: [32][2370/14090]	Time 0.741 (0.753)	Data 0.001 (0.003)	Loss 2.2258 (2.2292)	Prec@1 46.875 (44.044)	Prec@5 74.219 (74.702)
Epoch: [32][2380/14090]	Time 0.733 (0.753)	Data 0.001 (0.003)	Loss 2.1140 (2.2296)	Prec@1 45.312 (44.030)	Prec@5 76.562 (74.691)
Epoch: [32][2390/14090]	Time 0.764 (0.753)	Data 0.001 (0.003)	Loss 2.1254 (2.2294)	Prec@1 49.219 (44.035)	Prec@5 75.000 (74.691)
Epoch: [32][2400/14090]	Time 0.764 (0.753)	Data 0.001 (0.003)	Loss 2.1333 (2.2296)	Prec@1 46.094 (44.030)	Prec@5 81.250 (74.699)
Epoch: [32][2410/14090]	Time 0.744 (0.753)	Data 0.001 (0.003)	Loss 2.1538 (2.2297)	Prec@1 45.312 (44.022)	Prec@5 71.875 (74.701)
Epoch: [32][2420/14090]	Time 0.762 (0.753)	Data 0.001 (0.003)	Loss 2.6279 (2.2298)	Prec@1 35.938 (44.016)	Prec@5 67.188 (74.701)
Epoch: [32][2430/14090]	Time 0.734 (0.753)	Data 0.002 (0.003)	Loss 2.1151 (2.2297)	Prec@1 46.875 (44.021)	Prec@5 78.906 (74.707)
Epoch: [32][2440/14090]	Time 0.726 (0.753)	Data 0.001 (0.003)	Loss 2.1989 (2.2297)	Prec@1 40.625 (44.021)	Prec@5 78.125 (74.703)
Epoch: [32][2450/14090]	Time 0.755 (0.753)	Data 0.001 (0.003)	Loss 2.0309 (2.2297)	Prec@1 43.750 (44.020)	Prec@5 76.562 (74.705)
Epoch: [32][2460/14090]	Time 0.757 (0.753)	Data 0.001 (0.003)	Loss 1.9918 (2.2299)	Prec@1 52.344 (44.019)	Prec@5 78.125 (74.705)
Epoch: [32][2470/14090]	Time 0.763 (0.753)	Data 0.001 (0.003)	Loss 2.1950 (2.2300)	Prec@1 46.094 (44.012)	Prec@5 78.125 (74.702)
Epoch: [32][2480/14090]	Time 0.753 (0.753)	Data 0.001 (0.003)	Loss 2.1785 (2.2305)	Prec@1 45.312 (44.004)	Prec@5 78.125 (74.691)
Epoch: [32][2490/14090]	Time 0.736 (0.753)	Data 0.001 (0.003)	Loss 2.3112 (2.2305)	Prec@1 43.750 (44.003)	Prec@5 71.875 (74.692)
Epoch: [32][2500/14090]	Time 0.740 (0.753)	Data 0.002 (0.003)	Loss 2.4508 (2.2307)	Prec@1 40.625 (44.003)	Prec@5 71.875 (74.689)
Epoch: [32][2510/14090]	Time 0.750 (0.753)	Data 0.001 (0.003)	Loss 2.1961 (2.2305)	Prec@1 44.531 (44.004)	Prec@5 73.438 (74.694)
Epoch: [32][2520/14090]	Time 0.743 (0.753)	Data 0.001 (0.003)	Loss 2.3567 (2.2305)	Prec@1 42.969 (44.011)	Prec@5 75.781 (74.689)
Epoch: [32][2530/14090]	Time 0.737 (0.752)	Data 0.001 (0.003)	Loss 2.1768 (2.2304)	Prec@1 42.969 (44.012)	Prec@5 78.125 (74.695)
Epoch: [32][2540/14090]	Time 0.746 (0.752)	Data 0.001 (0.003)	Loss 2.4419 (2.2303)	Prec@1 39.844 (44.017)	Prec@5 71.875 (74.696)
Epoch: [32][2550/14090]	Time 0.756 (0.752)	Data 0.001 (0.003)	Loss 2.1620 (2.2303)	Prec@1 42.188 (44.016)	Prec@5 79.688 (74.700)
Epoch: [32][2560/14090]	Time 0.734 (0.752)	Data 0.001 (0.003)	Loss 2.3666 (2.2307)	Prec@1 45.312 (44.014)	Prec@5 71.875 (74.690)
Epoch: [32][2570/14090]	Time 0.753 (0.752)	Data 0.002 (0.003)	Loss 2.3599 (2.2307)	Prec@1 40.625 (44.012)	Prec@5 74.219 (74.692)
Epoch: [32][2580/14090]	Time 0.726 (0.752)	Data 0.001 (0.003)	Loss 2.3850 (2.2306)	Prec@1 44.531 (44.015)	Prec@5 74.219 (74.692)
Epoch: [32][2590/14090]	Time 0.746 (0.752)	Data 0.001 (0.003)	Loss 2.1922 (2.2308)	Prec@1 43.750 (44.013)	Prec@5 71.875 (74.684)
Epoch: [32][2600/14090]	Time 0.731 (0.752)	Data 0.001 (0.003)	Loss 2.1785 (2.2304)	Prec@1 46.875 (44.024)	Prec@5 78.906 (74.691)
Epoch: [32][2610/14090]	Time 0.745 (0.752)	Data 0.001 (0.003)	Loss 2.1720 (2.2303)	Prec@1 40.625 (44.035)	Prec@5 76.562 (74.691)
Epoch: [32][2620/14090]	Time 0.754 (0.752)	Data 0.001 (0.003)	Loss 2.3779 (2.2302)	Prec@1 45.312 (44.037)	Prec@5 67.188 (74.694)
Epoch: [32][2630/14090]	Time 0.726 (0.752)	Data 0.001 (0.003)	Loss 2.1924 (2.2302)	Prec@1 46.875 (44.040)	Prec@5 75.781 (74.694)
Epoch: [32][2640/14090]	Time 0.762 (0.752)	Data 0.002 (0.003)	Loss 2.4920 (2.2301)	Prec@1 38.281 (44.038)	Prec@5 69.531 (74.696)
Epoch: [32][2650/14090]	Time 0.750 (0.752)	Data 0.001 (0.003)	Loss 2.5437 (2.2301)	Prec@1 38.281 (44.043)	Prec@5 69.531 (74.692)
Epoch: [32][2660/14090]	Time 0.760 (0.752)	Data 0.001 (0.003)	Loss 2.1306 (2.2303)	Prec@1 43.750 (44.039)	Prec@5 76.562 (74.685)
Epoch: [32][2670/14090]	Time 0.738 (0.752)	Data 0.001 (0.003)	Loss 2.5774 (2.2306)	Prec@1 38.281 (44.035)	Prec@5 68.750 (74.681)
Epoch: [32][2680/14090]	Time 0.788 (0.752)	Data 0.001 (0.003)	Loss 2.2348 (2.2304)	Prec@1 44.531 (44.033)	Prec@5 74.219 (74.686)
Epoch: [32][2690/14090]	Time 0.744 (0.752)	Data 0.001 (0.003)	Loss 2.0523 (2.2301)	Prec@1 47.656 (44.037)	Prec@5 72.656 (74.691)
Epoch: [32][2700/14090]	Time 0.741 (0.752)	Data 0.001 (0.003)	Loss 2.1900 (2.2303)	Prec@1 39.844 (44.029)	Prec@5 75.000 (74.691)
Epoch: [32][2710/14090]	Time 0.770 (0.752)	Data 0.002 (0.003)	Loss 2.1210 (2.2302)	Prec@1 47.656 (44.035)	Prec@5 78.125 (74.693)
Epoch: [32][2720/14090]	Time 0.761 (0.752)	Data 0.001 (0.003)	Loss 2.1868 (2.2301)	Prec@1 42.188 (44.036)	Prec@5 71.875 (74.693)
Epoch: [32][2730/14090]	Time 0.772 (0.752)	Data 0.001 (0.003)	Loss 2.2545 (2.2301)	Prec@1 40.625 (44.032)	Prec@5 74.219 (74.699)
Epoch: [32][2740/14090]	Time 0.738 (0.752)	Data 0.001 (0.003)	Loss 2.3961 (2.2300)	Prec@1 40.625 (44.035)	Prec@5 75.000 (74.699)
Epoch: [32][2750/14090]	Time 0.749 (0.752)	Data 0.001 (0.003)	Loss 2.0103 (2.2297)	Prec@1 50.781 (44.042)	Prec@5 78.906 (74.705)
Epoch: [32][2760/14090]	Time 0.762 (0.752)	Data 0.001 (0.003)	Loss 2.3603 (2.2299)	Prec@1 37.500 (44.038)	Prec@5 78.125 (74.700)
Epoch: [32][2770/14090]	Time 0.735 (0.752)	Data 0.001 (0.003)	Loss 2.3021 (2.2297)	Prec@1 35.156 (44.044)	Prec@5 75.781 (74.703)
Epoch: [32][2780/14090]	Time 0.757 (0.752)	Data 0.002 (0.003)	Loss 2.5013 (2.2296)	Prec@1 45.312 (44.049)	Prec@5 71.094 (74.708)
Epoch: [32][2790/14090]	Time 0.757 (0.752)	Data 0.001 (0.003)	Loss 2.3810 (2.2297)	Prec@1 46.875 (44.048)	Prec@5 68.750 (74.707)
Epoch: [32][2800/14090]	Time 0.758 (0.752)	Data 0.001 (0.003)	Loss 2.2596 (2.2297)	Prec@1 43.750 (44.044)	Prec@5 71.094 (74.705)
Epoch: [32][2810/14090]	Time 0.752 (0.752)	Data 0.001 (0.003)	Loss 2.0765 (2.2299)	Prec@1 53.125 (44.044)	Prec@5 79.688 (74.699)
Epoch: [32][2820/14090]	Time 0.746 (0.752)	Data 0.001 (0.003)	Loss 2.1620 (2.2299)	Prec@1 47.656 (44.041)	Prec@5 70.312 (74.697)
Epoch: [32][2830/14090]	Time 0.757 (0.752)	Data 0.001 (0.003)	Loss 2.2341 (2.2299)	Prec@1 46.875 (44.046)	Prec@5 75.000 (74.699)
Epoch: [32][2840/14090]	Time 0.729 (0.752)	Data 0.001 (0.003)	Loss 2.1544 (2.2299)	Prec@1 46.875 (44.040)	Prec@5 73.438 (74.697)
Epoch: [32][2850/14090]	Time 0.744 (0.752)	Data 0.002 (0.003)	Loss 2.3229 (2.2298)	Prec@1 43.750 (44.044)	Prec@5 77.344 (74.700)
Epoch: [32][2860/14090]	Time 0.729 (0.752)	Data 0.001 (0.003)	Loss 2.0748 (2.2296)	Prec@1 50.000 (44.050)	Prec@5 75.781 (74.704)
Epoch: [32][2870/14090]	Time 0.759 (0.752)	Data 0.001 (0.003)	Loss 2.2272 (2.2296)	Prec@1 45.312 (44.056)	Prec@5 74.219 (74.698)
Epoch: [32][2880/14090]	Time 0.729 (0.752)	Data 0.001 (0.003)	Loss 2.2145 (2.2297)	Prec@1 44.531 (44.051)	Prec@5 73.438 (74.700)
Epoch: [32][2890/14090]	Time 0.733 (0.752)	Data 0.001 (0.003)	Loss 2.5634 (2.2300)	Prec@1 34.375 (44.047)	Prec@5 67.969 (74.694)
Epoch: [32][2900/14090]	Time 0.745 (0.752)	Data 0.001 (0.003)	Loss 2.2813 (2.2301)	Prec@1 44.531 (44.051)	Prec@5 72.656 (74.692)
Epoch: [32][2910/14090]	Time 0.782 (0.752)	Data 0.001 (0.003)	Loss 2.3159 (2.2300)	Prec@1 44.531 (44.053)	Prec@5 71.094 (74.692)
Epoch: [32][2920/14090]	Time 0.729 (0.752)	Data 0.002 (0.002)	Loss 1.9688 (2.2301)	Prec@1 48.438 (44.054)	Prec@5 77.344 (74.685)
Epoch: [32][2930/14090]	Time 0.748 (0.752)	Data 0.001 (0.002)	Loss 2.4098 (2.2300)	Prec@1 37.500 (44.056)	Prec@5 72.656 (74.683)
Epoch: [32][2940/14090]	Time 0.774 (0.752)	Data 0.001 (0.002)	Loss 2.0185 (2.2302)	Prec@1 43.750 (44.052)	Prec@5 83.594 (74.680)
Epoch: [32][2950/14090]	Time 0.733 (0.752)	Data 0.001 (0.002)	Loss 2.2681 (2.2301)	Prec@1 43.750 (44.055)	Prec@5 71.875 (74.678)
Epoch: [32][2960/14090]	Time 0.758 (0.752)	Data 0.001 (0.002)	Loss 2.1630 (2.2302)	Prec@1 43.750 (44.057)	Prec@5 76.562 (74.678)
Epoch: [32][2970/14090]	Time 0.754 (0.752)	Data 0.001 (0.002)	Loss 2.0812 (2.2302)	Prec@1 46.094 (44.052)	Prec@5 79.688 (74.676)
Epoch: [32][2980/14090]	Time 0.745 (0.752)	Data 0.001 (0.002)	Loss 2.2036 (2.2302)	Prec@1 37.500 (44.049)	Prec@5 75.781 (74.671)
Epoch: [32][2990/14090]	Time 0.754 (0.752)	Data 0.002 (0.002)	Loss 2.2929 (2.2300)	Prec@1 44.531 (44.060)	Prec@5 71.875 (74.678)
Epoch: [32][3000/14090]	Time 0.751 (0.752)	Data 0.001 (0.002)	Loss 2.1873 (2.2300)	Prec@1 45.312 (44.056)	Prec@5 71.875 (74.676)
Epoch: [32][3010/14090]	Time 0.750 (0.752)	Data 0.001 (0.002)	Loss 2.4478 (2.2301)	Prec@1 41.406 (44.057)	Prec@5 72.656 (74.678)
Epoch: [32][3020/14090]	Time 0.766 (0.752)	Data 0.001 (0.002)	Loss 2.1788 (2.2303)	Prec@1 45.312 (44.055)	Prec@5 79.688 (74.676)
Epoch: [32][3030/14090]	Time 0.758 (0.752)	Data 0.001 (0.002)	Loss 2.1757 (2.2303)	Prec@1 45.312 (44.052)	Prec@5 71.094 (74.674)
Epoch: [32][3040/14090]	Time 0.752 (0.752)	Data 0.001 (0.002)	Loss 2.2813 (2.2300)	Prec@1 47.656 (44.060)	Prec@5 74.219 (74.678)
Epoch: [32][3050/14090]	Time 0.747 (0.752)	Data 0.001 (0.002)	Loss 1.9790 (2.2298)	Prec@1 49.219 (44.065)	Prec@5 78.125 (74.678)
Epoch: [32][3060/14090]	Time 0.756 (0.752)	Data 0.002 (0.002)	Loss 2.2587 (2.2296)	Prec@1 42.188 (44.068)	Prec@5 75.000 (74.680)
Epoch: [32][3070/14090]	Time 0.753 (0.752)	Data 0.001 (0.002)	Loss 2.3141 (2.2295)	Prec@1 39.844 (44.071)	Prec@5 75.000 (74.681)
Epoch: [32][3080/14090]	Time 0.735 (0.752)	Data 0.001 (0.002)	Loss 2.3719 (2.2293)	Prec@1 39.062 (44.075)	Prec@5 72.656 (74.685)
Epoch: [32][3090/14090]	Time 0.737 (0.752)	Data 0.001 (0.002)	Loss 2.2085 (2.2291)	Prec@1 41.406 (44.079)	Prec@5 72.656 (74.691)
Epoch: [32][3100/14090]	Time 0.769 (0.752)	Data 0.001 (0.002)	Loss 2.2682 (2.2289)	Prec@1 42.188 (44.083)	Prec@5 72.656 (74.695)
Epoch: [32][3110/14090]	Time 0.770 (0.752)	Data 0.001 (0.002)	Loss 2.0979 (2.2288)	Prec@1 42.969 (44.086)	Prec@5 77.344 (74.702)
Epoch: [32][3120/14090]	Time 0.766 (0.752)	Data 0.001 (0.002)	Loss 2.0708 (2.2290)	Prec@1 43.750 (44.080)	Prec@5 78.125 (74.696)
Epoch: [32][3130/14090]	Time 0.756 (0.752)	Data 0.003 (0.002)	Loss 2.2586 (2.2290)	Prec@1 45.312 (44.080)	Prec@5 75.781 (74.694)
Epoch: [32][3140/14090]	Time 0.738 (0.752)	Data 0.001 (0.002)	Loss 2.3154 (2.2291)	Prec@1 42.969 (44.077)	Prec@5 74.219 (74.693)
Epoch: [32][3150/14090]	Time 0.757 (0.752)	Data 0.001 (0.002)	Loss 2.3572 (2.2294)	Prec@1 42.188 (44.076)	Prec@5 71.875 (74.687)
Epoch: [32][3160/14090]	Time 0.786 (0.752)	Data 0.002 (0.002)	Loss 2.2140 (2.2293)	Prec@1 43.750 (44.074)	Prec@5 77.344 (74.688)
Epoch: [32][3170/14090]	Time 0.768 (0.752)	Data 0.001 (0.002)	Loss 2.2481 (2.2292)	Prec@1 42.969 (44.082)	Prec@5 75.000 (74.688)
Epoch: [32][3180/14090]	Time 0.742 (0.752)	Data 0.001 (0.002)	Loss 2.2953 (2.2294)	Prec@1 39.844 (44.079)	Prec@5 76.562 (74.687)
Epoch: [32][3190/14090]	Time 0.750 (0.752)	Data 0.001 (0.002)	Loss 2.2341 (2.2293)	Prec@1 42.969 (44.077)	Prec@5 76.562 (74.686)
Epoch: [32][3200/14090]	Time 0.764 (0.752)	Data 0.002 (0.002)	Loss 2.1418 (2.2291)	Prec@1 47.656 (44.084)	Prec@5 78.906 (74.687)
Epoch: [32][3210/14090]	Time 0.726 (0.752)	Data 0.001 (0.002)	Loss 2.2770 (2.2291)	Prec@1 42.188 (44.083)	Prec@5 72.656 (74.691)
Epoch: [32][3220/14090]	Time 0.753 (0.752)	Data 0.001 (0.002)	Loss 2.1545 (2.2292)	Prec@1 45.312 (44.085)	Prec@5 75.781 (74.687)
Epoch: [32][3230/14090]	Time 0.743 (0.752)	Data 0.001 (0.002)	Loss 1.8631 (2.2291)	Prec@1 53.125 (44.086)	Prec@5 85.938 (74.688)
Epoch: [32][3240/14090]	Time 0.765 (0.752)	Data 0.001 (0.002)	Loss 2.1246 (2.2289)	Prec@1 46.094 (44.092)	Prec@5 77.344 (74.694)
Epoch: [32][3250/14090]	Time 0.763 (0.752)	Data 0.001 (0.002)	Loss 2.6748 (2.2291)	Prec@1 35.156 (44.085)	Prec@5 66.406 (74.689)
Epoch: [32][3260/14090]	Time 0.754 (0.752)	Data 0.001 (0.002)	Loss 2.1871 (2.2288)	Prec@1 45.312 (44.086)	Prec@5 75.781 (74.693)
Epoch: [32][3270/14090]	Time 0.735 (0.752)	Data 0.002 (0.002)	Loss 2.1973 (2.2287)	Prec@1 35.156 (44.086)	Prec@5 75.000 (74.691)
Epoch: [32][3280/14090]	Time 0.746 (0.752)	Data 0.001 (0.002)	Loss 2.2335 (2.2287)	Prec@1 44.531 (44.082)	Prec@5 74.219 (74.688)
Epoch: [32][3290/14090]	Time 0.767 (0.752)	Data 0.003 (0.002)	Loss 2.1612 (2.2284)	Prec@1 43.750 (44.083)	Prec@5 73.438 (74.695)
Epoch: [32][3300/14090]	Time 0.735 (0.752)	Data 0.001 (0.002)	Loss 2.1517 (2.2285)	Prec@1 50.000 (44.081)	Prec@5 78.125 (74.697)
Epoch: [32][3310/14090]	Time 0.754 (0.752)	Data 0.001 (0.002)	Loss 2.2272 (2.2284)	Prec@1 48.438 (44.082)	Prec@5 77.344 (74.702)
Epoch: [32][3320/14090]	Time 0.741 (0.752)	Data 0.002 (0.002)	Loss 2.2399 (2.2284)	Prec@1 46.094 (44.084)	Prec@5 73.438 (74.701)
Epoch: [32][3330/14090]	Time 0.734 (0.752)	Data 0.001 (0.002)	Loss 2.2412 (2.2284)	Prec@1 42.188 (44.084)	Prec@5 75.781 (74.700)
Epoch: [32][3340/14090]	Time 0.744 (0.752)	Data 0.002 (0.002)	Loss 2.2218 (2.2284)	Prec@1 45.312 (44.079)	Prec@5 71.875 (74.701)
Epoch: [32][3350/14090]	Time 0.728 (0.752)	Data 0.001 (0.002)	Loss 2.1392 (2.2282)	Prec@1 50.000 (44.083)	Prec@5 72.656 (74.706)
Epoch: [32][3360/14090]	Time 0.768 (0.752)	Data 0.001 (0.002)	Loss 2.3744 (2.2282)	Prec@1 41.406 (44.081)	Prec@5 75.781 (74.712)
Epoch: [32][3370/14090]	Time 0.734 (0.752)	Data 0.001 (0.002)	Loss 2.2471 (2.2281)	Prec@1 39.062 (44.081)	Prec@5 73.438 (74.713)
Epoch: [32][3380/14090]	Time 0.757 (0.752)	Data 0.001 (0.002)	Loss 2.2527 (2.2281)	Prec@1 38.281 (44.081)	Prec@5 71.875 (74.712)
Epoch: [32][3390/14090]	Time 0.743 (0.752)	Data 0.001 (0.002)	Loss 2.1928 (2.2279)	Prec@1 47.656 (44.081)	Prec@5 76.562 (74.712)
Epoch: [32][3400/14090]	Time 0.756 (0.752)	Data 0.003 (0.002)	Loss 2.3688 (2.2280)	Prec@1 37.500 (44.080)	Prec@5 71.094 (74.714)
Epoch: [32][3410/14090]	Time 0.733 (0.752)	Data 0.002 (0.002)	Loss 2.2162 (2.2278)	Prec@1 45.312 (44.084)	Prec@5 73.438 (74.721)
Epoch: [32][3420/14090]	Time 0.767 (0.752)	Data 0.001 (0.002)	Loss 2.3489 (2.2276)	Prec@1 40.625 (44.081)	Prec@5 76.562 (74.726)
Epoch: [32][3430/14090]	Time 0.749 (0.752)	Data 0.001 (0.002)	Loss 2.2118 (2.2273)	Prec@1 46.875 (44.085)	Prec@5 75.000 (74.730)
Epoch: [32][3440/14090]	Time 0.748 (0.752)	Data 0.001 (0.002)	Loss 2.0384 (2.2270)	Prec@1 48.438 (44.091)	Prec@5 78.906 (74.737)
Epoch: [32][3450/14090]	Time 0.777 (0.752)	Data 0.001 (0.002)	Loss 2.0183 (2.2270)	Prec@1 50.781 (44.092)	Prec@5 77.344 (74.739)
Epoch: [32][3460/14090]	Time 0.740 (0.752)	Data 0.001 (0.002)	Loss 2.1861 (2.2267)	Prec@1 44.531 (44.099)	Prec@5 73.438 (74.742)
Epoch: [32][3470/14090]	Time 0.743 (0.752)	Data 0.001 (0.002)	Loss 2.2876 (2.2268)	Prec@1 34.375 (44.092)	Prec@5 75.000 (74.737)
Epoch: [32][3480/14090]	Time 0.752 (0.752)	Data 0.002 (0.002)	Loss 2.2411 (2.2268)	Prec@1 46.094 (44.091)	Prec@5 71.875 (74.737)
Epoch: [32][3490/14090]	Time 0.749 (0.752)	Data 0.001 (0.002)	Loss 2.0381 (2.2267)	Prec@1 51.562 (44.097)	Prec@5 78.906 (74.740)
Epoch: [32][3500/14090]	Time 0.728 (0.752)	Data 0.001 (0.002)	Loss 2.3132 (2.2264)	Prec@1 46.875 (44.103)	Prec@5 73.438 (74.746)
Epoch: [32][3510/14090]	Time 0.763 (0.752)	Data 0.001 (0.002)	Loss 2.1674 (2.2261)	Prec@1 37.500 (44.106)	Prec@5 76.562 (74.752)
Epoch: [32][3520/14090]	Time 0.729 (0.752)	Data 0.001 (0.002)	Loss 2.2635 (2.2261)	Prec@1 41.406 (44.105)	Prec@5 69.531 (74.750)
Epoch: [32][3530/14090]	Time 0.752 (0.752)	Data 0.001 (0.002)	Loss 2.2403 (2.2262)	Prec@1 43.750 (44.101)	Prec@5 77.344 (74.748)
Epoch: [32][3540/14090]	Time 0.741 (0.752)	Data 0.001 (0.002)	Loss 2.1291 (2.2263)	Prec@1 46.875 (44.094)	Prec@5 75.000 (74.745)
Epoch: [32][3550/14090]	Time 0.756 (0.752)	Data 0.002 (0.002)	Loss 1.9630 (2.2264)	Prec@1 45.312 (44.095)	Prec@5 83.594 (74.743)
Epoch: [32][3560/14090]	Time 0.735 (0.752)	Data 0.001 (0.002)	Loss 2.2798 (2.2263)	Prec@1 39.844 (44.098)	Prec@5 76.562 (74.742)
Epoch: [32][3570/14090]	Time 0.729 (0.752)	Data 0.001 (0.002)	Loss 2.4238 (2.2265)	Prec@1 42.969 (44.094)	Prec@5 71.094 (74.738)
Epoch: [32][3580/14090]	Time 0.751 (0.752)	Data 0.001 (0.002)	Loss 2.4458 (2.2265)	Prec@1 45.312 (44.096)	Prec@5 66.406 (74.739)
Epoch: [32][3590/14090]	Time 0.737 (0.752)	Data 0.001 (0.002)	Loss 1.9315 (2.2266)	Prec@1 52.344 (44.093)	Prec@5 81.250 (74.736)
Epoch: [32][3600/14090]	Time 0.733 (0.752)	Data 0.001 (0.002)	Loss 2.1620 (2.2266)	Prec@1 52.344 (44.097)	Prec@5 77.344 (74.732)
Epoch: [32][3610/14090]	Time 0.758 (0.752)	Data 0.001 (0.002)	Loss 2.1271 (2.2266)	Prec@1 43.750 (44.098)	Prec@5 74.219 (74.733)
Epoch: [32][3620/14090]	Time 0.747 (0.752)	Data 0.002 (0.002)	Loss 2.0333 (2.2264)	Prec@1 45.312 (44.101)	Prec@5 75.781 (74.733)
Epoch: [32][3630/14090]	Time 0.730 (0.752)	Data 0.001 (0.002)	Loss 2.0183 (2.2262)	Prec@1 48.438 (44.104)	Prec@5 79.688 (74.738)
Epoch: [32][3640/14090]	Time 0.746 (0.752)	Data 0.001 (0.002)	Loss 2.2245 (2.2262)	Prec@1 45.312 (44.108)	Prec@5 76.562 (74.736)
Epoch: [32][3650/14090]	Time 0.760 (0.752)	Data 0.001 (0.002)	Loss 2.3461 (2.2261)	Prec@1 41.406 (44.106)	Prec@5 74.219 (74.736)
Epoch: [32][3660/14090]	Time 0.739 (0.752)	Data 0.001 (0.002)	Loss 2.3398 (2.2261)	Prec@1 37.500 (44.106)	Prec@5 71.094 (74.735)
Epoch: [32][3670/14090]	Time 0.739 (0.752)	Data 0.001 (0.002)	Loss 1.9500 (2.2261)	Prec@1 56.250 (44.109)	Prec@5 80.469 (74.737)
Epoch: [32][3680/14090]	Time 0.742 (0.752)	Data 0.001 (0.002)	Loss 2.2102 (2.2263)	Prec@1 45.312 (44.103)	Prec@5 75.781 (74.734)
Epoch: [32][3690/14090]	Time 0.746 (0.752)	Data 0.002 (0.002)	Loss 2.0269 (2.2264)	Prec@1 46.875 (44.100)	Prec@5 81.250 (74.734)
Epoch: [32][3700/14090]	Time 0.759 (0.752)	Data 0.001 (0.002)	Loss 2.1529 (2.2264)	Prec@1 45.312 (44.104)	Prec@5 75.781 (74.732)
Epoch: [32][3710/14090]	Time 0.745 (0.752)	Data 0.001 (0.002)	Loss 2.1385 (2.2264)	Prec@1 43.750 (44.105)	Prec@5 73.438 (74.731)
Epoch: [32][3720/14090]	Time 0.728 (0.752)	Data 0.001 (0.002)	Loss 2.2890 (2.2264)	Prec@1 46.094 (44.106)	Prec@5 78.125 (74.732)
Epoch: [32][3730/14090]	Time 0.744 (0.752)	Data 0.001 (0.002)	Loss 1.9037 (2.2264)	Prec@1 52.344 (44.107)	Prec@5 81.250 (74.732)
Epoch: [32][3740/14090]	Time 0.743 (0.752)	Data 0.001 (0.002)	Loss 2.3965 (2.2264)	Prec@1 37.500 (44.104)	Prec@5 67.969 (74.731)
Epoch: [32][3750/14090]	Time 0.765 (0.752)	Data 0.001 (0.002)	Loss 2.2043 (2.2266)	Prec@1 47.656 (44.102)	Prec@5 76.562 (74.727)
Epoch: [32][3760/14090]	Time 0.733 (0.752)	Data 0.001 (0.002)	Loss 2.0502 (2.2266)	Prec@1 46.875 (44.105)	Prec@5 74.219 (74.724)
Epoch: [32][3770/14090]	Time 0.757 (0.752)	Data 0.001 (0.002)	Loss 2.2170 (2.2265)	Prec@1 46.875 (44.109)	Prec@5 74.219 (74.730)
Epoch: [32][3780/14090]	Time 0.753 (0.752)	Data 0.001 (0.002)	Loss 2.4241 (2.2264)	Prec@1 39.062 (44.106)	Prec@5 69.531 (74.734)
Epoch: [32][3790/14090]	Time 0.750 (0.752)	Data 0.001 (0.002)	Loss 2.2011 (2.2263)	Prec@1 48.438 (44.103)	Prec@5 69.531 (74.734)
Epoch: [32][3800/14090]	Time 0.780 (0.752)	Data 0.001 (0.002)	Loss 2.2434 (2.2265)	Prec@1 42.969 (44.100)	Prec@5 72.656 (74.731)
Epoch: [32][3810/14090]	Time 0.750 (0.752)	Data 0.001 (0.002)	Loss 2.3067 (2.2263)	Prec@1 40.625 (44.103)	Prec@5 75.000 (74.735)
Epoch: [32][3820/14090]	Time 0.756 (0.752)	Data 0.001 (0.002)	Loss 2.2756 (2.2267)	Prec@1 42.969 (44.101)	Prec@5 74.219 (74.724)
Epoch: [32][3830/14090]	Time 0.756 (0.752)	Data 0.002 (0.002)	Loss 2.2414 (2.2267)	Prec@1 42.969 (44.099)	Prec@5 75.000 (74.720)
Epoch: [32][3840/14090]	Time 0.738 (0.752)	Data 0.001 (0.002)	Loss 2.2696 (2.2269)	Prec@1 42.969 (44.097)	Prec@5 70.312 (74.716)
Epoch: [32][3850/14090]	Time 0.740 (0.752)	Data 0.001 (0.002)	Loss 2.1619 (2.2266)	Prec@1 46.875 (44.102)	Prec@5 76.562 (74.723)
Epoch: [32][3860/14090]	Time 0.751 (0.752)	Data 0.001 (0.002)	Loss 2.2148 (2.2267)	Prec@1 43.750 (44.096)	Prec@5 74.219 (74.719)
Epoch: [32][3870/14090]	Time 0.744 (0.752)	Data 0.001 (0.002)	Loss 2.2005 (2.2267)	Prec@1 44.531 (44.095)	Prec@5 75.000 (74.718)
Epoch: [32][3880/14090]	Time 0.750 (0.752)	Data 0.001 (0.002)	Loss 2.4549 (2.2268)	Prec@1 36.719 (44.091)	Prec@5 66.406 (74.717)
Epoch: [32][3890/14090]	Time 0.751 (0.752)	Data 0.001 (0.002)	Loss 2.3108 (2.2271)	Prec@1 41.406 (44.087)	Prec@5 77.344 (74.715)
Epoch: [32][3900/14090]	Time 0.751 (0.752)	Data 0.002 (0.002)	Loss 2.7267 (2.2271)	Prec@1 36.719 (44.090)	Prec@5 67.969 (74.715)
Epoch: [32][3910/14090]	Time 0.746 (0.752)	Data 0.001 (0.002)	Loss 2.0957 (2.2270)	Prec@1 51.562 (44.094)	Prec@5 77.344 (74.720)
Epoch: [32][3920/14090]	Time 0.791 (0.752)	Data 0.001 (0.002)	Loss 2.0046 (2.2270)	Prec@1 45.312 (44.092)	Prec@5 82.031 (74.722)
Epoch: [32][3930/14090]	Time 0.764 (0.752)	Data 0.001 (0.002)	Loss 2.2291 (2.2268)	Prec@1 42.188 (44.093)	Prec@5 74.219 (74.728)
Epoch: [32][3940/14090]	Time 0.755 (0.752)	Data 0.001 (0.002)	Loss 2.5594 (2.2269)	Prec@1 43.750 (44.086)	Prec@5 69.531 (74.724)
Epoch: [32][3950/14090]	Time 0.773 (0.752)	Data 0.001 (0.002)	Loss 2.4495 (2.2271)	Prec@1 35.938 (44.082)	Prec@5 70.312 (74.720)
Epoch: [32][3960/14090]	Time 0.763 (0.752)	Data 0.001 (0.002)	Loss 2.2754 (2.2272)	Prec@1 41.406 (44.078)	Prec@5 71.094 (74.718)
Epoch: [32][3970/14090]	Time 0.763 (0.752)	Data 0.002 (0.002)	Loss 2.3249 (2.2274)	Prec@1 45.312 (44.077)	Prec@5 73.438 (74.713)
Epoch: [32][3980/14090]	Time 0.745 (0.752)	Data 0.001 (0.002)	Loss 2.4446 (2.2274)	Prec@1 39.062 (44.082)	Prec@5 70.312 (74.714)
Epoch: [32][3990/14090]	Time 0.749 (0.752)	Data 0.001 (0.002)	Loss 2.1188 (2.2275)	Prec@1 42.188 (44.081)	Prec@5 78.125 (74.710)
Epoch: [32][4000/14090]	Time 0.762 (0.752)	Data 0.001 (0.002)	Loss 2.2860 (2.2277)	Prec@1 40.625 (44.076)	Prec@5 74.219 (74.707)
Epoch: [32][4010/14090]	Time 0.729 (0.752)	Data 0.001 (0.002)	Loss 1.8762 (2.2276)	Prec@1 50.000 (44.081)	Prec@5 80.469 (74.711)
Epoch: [32][4020/14090]	Time 0.781 (0.752)	Data 0.001 (0.002)	Loss 2.3400 (2.2277)	Prec@1 42.969 (44.078)	Prec@5 73.438 (74.707)
Epoch: [32][4030/14090]	Time 0.746 (0.752)	Data 0.001 (0.002)	Loss 2.4698 (2.2277)	Prec@1 38.281 (44.077)	Prec@5 71.094 (74.708)
Epoch: [32][4040/14090]	Time 0.772 (0.752)	Data 0.002 (0.002)	Loss 1.9941 (2.2276)	Prec@1 46.094 (44.080)	Prec@5 78.906 (74.709)
Epoch: [32][4050/14090]	Time 0.762 (0.752)	Data 0.001 (0.002)	Loss 2.3240 (2.2276)	Prec@1 38.281 (44.081)	Prec@5 72.656 (74.709)
Epoch: [32][4060/14090]	Time 0.753 (0.752)	Data 0.001 (0.002)	Loss 2.2474 (2.2277)	Prec@1 44.531 (44.081)	Prec@5 75.000 (74.707)
Epoch: [32][4070/14090]	Time 0.769 (0.752)	Data 0.001 (0.002)	Loss 2.1532 (2.2275)	Prec@1 45.312 (44.086)	Prec@5 73.438 (74.710)
Epoch: [32][4080/14090]	Time 0.777 (0.752)	Data 0.001 (0.002)	Loss 2.0633 (2.2275)	Prec@1 47.656 (44.088)	Prec@5 78.906 (74.707)
Epoch: [32][4090/14090]	Time 0.747 (0.752)	Data 0.001 (0.002)	Loss 2.2227 (2.2275)	Prec@1 43.750 (44.090)	Prec@5 76.562 (74.708)
Epoch: [32][4100/14090]	Time 0.773 (0.752)	Data 0.001 (0.002)	Loss 2.2614 (2.2276)	Prec@1 42.969 (44.086)	Prec@5 76.562 (74.708)
Epoch: [32][4110/14090]	Time 0.737 (0.752)	Data 0.002 (0.002)	Loss 2.3641 (2.2278)	Prec@1 44.531 (44.085)	Prec@5 70.312 (74.701)
Epoch: [32][4120/14090]	Time 0.746 (0.752)	Data 0.001 (0.002)	Loss 2.2019 (2.2278)	Prec@1 34.375 (44.083)	Prec@5 77.344 (74.704)
Epoch: [32][4130/14090]	Time 0.745 (0.752)	Data 0.001 (0.002)	Loss 2.2210 (2.2278)	Prec@1 47.656 (44.080)	Prec@5 75.000 (74.703)
Epoch: [32][4140/14090]	Time 0.753 (0.752)	Data 0.001 (0.002)	Loss 2.1493 (2.2278)	Prec@1 47.656 (44.082)	Prec@5 77.344 (74.701)
Epoch: [32][4150/14090]	Time 0.758 (0.752)	Data 0.001 (0.002)	Loss 2.3077 (2.2279)	Prec@1 44.531 (44.079)	Prec@5 73.438 (74.698)
Epoch: [32][4160/14090]	Time 0.750 (0.752)	Data 0.001 (0.002)	Loss 2.2487 (2.2281)	Prec@1 42.188 (44.077)	Prec@5 74.219 (74.697)
Epoch: [32][4170/14090]	Time 0.740 (0.752)	Data 0.001 (0.002)	Loss 2.3981 (2.2279)	Prec@1 39.844 (44.080)	Prec@5 73.438 (74.698)
Epoch: [32][4180/14090]	Time 0.782 (0.752)	Data 0.002 (0.002)	Loss 2.5439 (2.2282)	Prec@1 35.156 (44.074)	Prec@5 71.094 (74.695)
Epoch: [32][4190/14090]	Time 0.764 (0.752)	Data 0.001 (0.002)	Loss 2.2627 (2.2282)	Prec@1 40.625 (44.073)	Prec@5 75.000 (74.694)
Epoch: [32][4200/14090]	Time 0.742 (0.752)	Data 0.001 (0.002)	Loss 2.1591 (2.2282)	Prec@1 49.219 (44.073)	Prec@5 75.781 (74.695)
Epoch: [32][4210/14090]	Time 0.759 (0.752)	Data 0.001 (0.002)	Loss 2.0329 (2.2280)	Prec@1 52.344 (44.077)	Prec@5 78.125 (74.696)
Epoch: [32][4220/14090]	Time 0.743 (0.752)	Data 0.001 (0.002)	Loss 2.2407 (2.2279)	Prec@1 42.188 (44.078)	Prec@5 77.344 (74.698)
Epoch: [32][4230/14090]	Time 0.783 (0.752)	Data 0.002 (0.002)	Loss 2.6270 (2.2281)	Prec@1 32.031 (44.077)	Prec@5 67.969 (74.695)
Epoch: [32][4240/14090]	Time 0.738 (0.752)	Data 0.001 (0.002)	Loss 2.1394 (2.2280)	Prec@1 50.781 (44.086)	Prec@5 78.125 (74.694)
Epoch: [32][4250/14090]	Time 0.773 (0.752)	Data 0.002 (0.002)	Loss 2.2651 (2.2279)	Prec@1 42.969 (44.088)	Prec@5 71.875 (74.695)
Epoch: [32][4260/14090]	Time 0.757 (0.752)	Data 0.001 (0.002)	Loss 2.2228 (2.2279)	Prec@1 42.969 (44.088)	Prec@5 70.312 (74.696)
Epoch: [32][4270/14090]	Time 0.730 (0.752)	Data 0.001 (0.002)	Loss 2.3518 (2.2278)	Prec@1 37.500 (44.088)	Prec@5 70.312 (74.699)
Epoch: [32][4280/14090]	Time 0.729 (0.752)	Data 0.001 (0.002)	Loss 2.1616 (2.2276)	Prec@1 46.875 (44.089)	Prec@5 76.562 (74.704)
Epoch: [32][4290/14090]	Time 0.774 (0.752)	Data 0.001 (0.002)	Loss 2.1755 (2.2275)	Prec@1 42.969 (44.091)	Prec@5 76.562 (74.706)
Epoch: [32][4300/14090]	Time 0.771 (0.752)	Data 0.001 (0.002)	Loss 2.2893 (2.2276)	Prec@1 39.844 (44.087)	Prec@5 74.219 (74.704)
Epoch: [32][4310/14090]	Time 0.769 (0.752)	Data 0.001 (0.002)	Loss 2.0670 (2.2275)	Prec@1 42.969 (44.089)	Prec@5 78.125 (74.706)
Epoch: [32][4320/14090]	Time 0.741 (0.752)	Data 0.002 (0.002)	Loss 2.2859 (2.2274)	Prec@1 46.875 (44.092)	Prec@5 70.312 (74.708)
Epoch: [32][4330/14090]	Time 0.743 (0.752)	Data 0.001 (0.002)	Loss 2.0476 (2.2273)	Prec@1 39.062 (44.093)	Prec@5 82.812 (74.710)
Epoch: [32][4340/14090]	Time 0.758 (0.752)	Data 0.001 (0.002)	Loss 2.1809 (2.2274)	Prec@1 50.000 (44.092)	Prec@5 72.656 (74.707)
Epoch: [32][4350/14090]	Time 0.763 (0.752)	Data 0.001 (0.002)	Loss 2.4371 (2.2273)	Prec@1 33.594 (44.092)	Prec@5 69.531 (74.709)
Epoch: [32][4360/14090]	Time 0.740 (0.752)	Data 0.001 (0.002)	Loss 2.3707 (2.2273)	Prec@1 45.312 (44.092)	Prec@5 70.312 (74.710)
Epoch: [32][4370/14090]	Time 0.753 (0.752)	Data 0.001 (0.002)	Loss 2.2241 (2.2273)	Prec@1 46.094 (44.092)	Prec@5 75.781 (74.710)
Epoch: [32][4380/14090]	Time 0.734 (0.752)	Data 0.001 (0.002)	Loss 2.2914 (2.2273)	Prec@1 44.531 (44.090)	Prec@5 72.656 (74.709)
Epoch: [32][4390/14090]	Time 0.758 (0.752)	Data 0.003 (0.002)	Loss 2.2367 (2.2273)	Prec@1 46.094 (44.089)	Prec@5 77.344 (74.711)
Epoch: [32][4400/14090]	Time 0.765 (0.752)	Data 0.001 (0.002)	Loss 1.7588 (2.2273)	Prec@1 60.156 (44.089)	Prec@5 83.594 (74.711)
Epoch: [32][4410/14090]	Time 0.741 (0.752)	Data 0.001 (0.002)	Loss 2.3868 (2.2274)	Prec@1 39.844 (44.088)	Prec@5 71.094 (74.711)
Epoch: [32][4420/14090]	Time 0.774 (0.752)	Data 0.001 (0.002)	Loss 2.4834 (2.2275)	Prec@1 43.750 (44.083)	Prec@5 69.531 (74.710)
Epoch: [32][4430/14090]	Time 0.751 (0.752)	Data 0.001 (0.002)	Loss 2.2836 (2.2275)	Prec@1 40.625 (44.082)	Prec@5 75.000 (74.712)
Epoch: [32][4440/14090]	Time 0.745 (0.752)	Data 0.001 (0.002)	Loss 2.3857 (2.2275)	Prec@1 41.406 (44.080)	Prec@5 74.219 (74.715)
Epoch: [32][4450/14090]	Time 0.764 (0.752)	Data 0.001 (0.002)	Loss 2.3355 (2.2273)	Prec@1 43.750 (44.088)	Prec@5 73.438 (74.717)
Epoch: [32][4460/14090]	Time 0.728 (0.752)	Data 0.002 (0.002)	Loss 2.3117 (2.2271)	Prec@1 36.719 (44.092)	Prec@5 72.656 (74.720)
Epoch: [32][4470/14090]	Time 0.758 (0.752)	Data 0.001 (0.002)	Loss 2.3484 (2.2271)	Prec@1 41.406 (44.093)	Prec@5 71.875 (74.721)
Epoch: [32][4480/14090]	Time 0.730 (0.752)	Data 0.001 (0.002)	Loss 2.4256 (2.2271)	Prec@1 42.969 (44.092)	Prec@5 74.219 (74.716)
Epoch: [32][4490/14090]	Time 0.757 (0.752)	Data 0.001 (0.002)	Loss 2.0604 (2.2270)	Prec@1 42.188 (44.091)	Prec@5 78.906 (74.719)
Epoch: [32][4500/14090]	Time 0.743 (0.752)	Data 0.001 (0.002)	Loss 2.0654 (2.2268)	Prec@1 47.656 (44.093)	Prec@5 78.906 (74.722)
Epoch: [32][4510/14090]	Time 0.757 (0.752)	Data 0.001 (0.002)	Loss 1.9836 (2.2268)	Prec@1 49.219 (44.095)	Prec@5 78.906 (74.720)
Epoch: [32][4520/14090]	Time 0.722 (0.752)	Data 0.001 (0.002)	Loss 2.1897 (2.2267)	Prec@1 50.000 (44.095)	Prec@5 71.875 (74.721)
Epoch: [32][4530/14090]	Time 0.761 (0.752)	Data 0.002 (0.002)	Loss 2.3252 (2.2268)	Prec@1 41.406 (44.092)	Prec@5 75.781 (74.718)
Epoch: [32][4540/14090]	Time 0.760 (0.752)	Data 0.001 (0.002)	Loss 2.0585 (2.2266)	Prec@1 47.656 (44.094)	Prec@5 75.000 (74.721)
Epoch: [32][4550/14090]	Time 0.755 (0.752)	Data 0.001 (0.002)	Loss 2.2506 (2.2266)	Prec@1 42.969 (44.093)	Prec@5 75.781 (74.723)
Epoch: [32][4560/14090]	Time 0.780 (0.752)	Data 0.001 (0.002)	Loss 2.2790 (2.2265)	Prec@1 39.062 (44.094)	Prec@5 78.125 (74.727)
Epoch: [32][4570/14090]	Time 0.737 (0.752)	Data 0.001 (0.002)	Loss 2.3316 (2.2267)	Prec@1 38.281 (44.091)	Prec@5 75.000 (74.725)
Epoch: [32][4580/14090]	Time 0.743 (0.752)	Data 0.001 (0.002)	Loss 2.4283 (2.2270)	Prec@1 42.188 (44.088)	Prec@5 71.094 (74.719)
Epoch: [32][4590/14090]	Time 0.765 (0.752)	Data 0.001 (0.002)	Loss 2.3337 (2.2272)	Prec@1 39.844 (44.085)	Prec@5 71.094 (74.717)
Epoch: [32][4600/14090]	Time 0.743 (0.752)	Data 0.002 (0.002)	Loss 2.4248 (2.2272)	Prec@1 42.188 (44.086)	Prec@5 73.438 (74.719)
Epoch: [32][4610/14090]	Time 0.750 (0.752)	Data 0.001 (0.002)	Loss 2.1586 (2.2273)	Prec@1 40.625 (44.082)	Prec@5 74.219 (74.716)
Epoch: [32][4620/14090]	Time 0.744 (0.752)	Data 0.001 (0.002)	Loss 2.1754 (2.2275)	Prec@1 50.000 (44.079)	Prec@5 74.219 (74.711)
Epoch: [32][4630/14090]	Time 0.760 (0.752)	Data 0.001 (0.002)	Loss 2.4307 (2.2274)	Prec@1 42.969 (44.084)	Prec@5 69.531 (74.712)
Epoch: [32][4640/14090]	Time 0.730 (0.752)	Data 0.001 (0.002)	Loss 1.9985 (2.2275)	Prec@1 50.781 (44.080)	Prec@5 75.000 (74.712)
Epoch: [32][4650/14090]	Time 0.740 (0.752)	Data 0.001 (0.002)	Loss 2.3278 (2.2276)	Prec@1 41.406 (44.078)	Prec@5 67.969 (74.712)
Epoch: [32][4660/14090]	Time 0.800 (0.752)	Data 0.001 (0.002)	Loss 2.3421 (2.2276)	Prec@1 40.625 (44.076)	Prec@5 73.438 (74.711)
Epoch: [32][4670/14090]	Time 0.761 (0.752)	Data 0.002 (0.002)	Loss 2.1034 (2.2277)	Prec@1 42.188 (44.074)	Prec@5 78.125 (74.710)
Epoch: [32][4680/14090]	Time 0.753 (0.752)	Data 0.001 (0.002)	Loss 2.1780 (2.2277)	Prec@1 44.531 (44.069)	Prec@5 82.812 (74.712)
Epoch: [32][4690/14090]	Time 0.752 (0.752)	Data 0.001 (0.002)	Loss 2.1881 (2.2277)	Prec@1 44.531 (44.067)	Prec@5 75.781 (74.712)
Epoch: [32][4700/14090]	Time 0.749 (0.752)	Data 0.001 (0.002)	Loss 2.1776 (2.2276)	Prec@1 46.875 (44.073)	Prec@5 77.344 (74.714)
Epoch: [32][4710/14090]	Time 0.744 (0.752)	Data 0.001 (0.002)	Loss 2.2004 (2.2275)	Prec@1 50.781 (44.075)	Prec@5 76.562 (74.713)
Epoch: [32][4720/14090]	Time 0.759 (0.752)	Data 0.001 (0.002)	Loss 2.1074 (2.2275)	Prec@1 50.000 (44.078)	Prec@5 78.906 (74.713)
Epoch: [32][4730/14090]	Time 0.748 (0.752)	Data 0.001 (0.002)	Loss 2.3433 (2.2276)	Prec@1 42.188 (44.073)	Prec@5 73.438 (74.709)
Epoch: [32][4740/14090]	Time 0.729 (0.752)	Data 0.002 (0.002)	Loss 2.4003 (2.2276)	Prec@1 41.406 (44.074)	Prec@5 72.656 (74.709)
Epoch: [32][4750/14090]	Time 0.744 (0.752)	Data 0.001 (0.002)	Loss 2.3240 (2.2278)	Prec@1 39.062 (44.072)	Prec@5 74.219 (74.705)
Epoch: [32][4760/14090]	Time 0.755 (0.752)	Data 0.001 (0.002)	Loss 2.4369 (2.2279)	Prec@1 42.969 (44.066)	Prec@5 73.438 (74.701)
Epoch: [32][4770/14090]	Time 0.753 (0.752)	Data 0.001 (0.002)	Loss 2.0625 (2.2278)	Prec@1 46.094 (44.070)	Prec@5 78.125 (74.701)
Epoch: [32][4780/14090]	Time 0.734 (0.752)	Data 0.001 (0.002)	Loss 2.3116 (2.2279)	Prec@1 41.406 (44.071)	Prec@5 72.656 (74.696)
Epoch: [32][4790/14090]	Time 0.743 (0.752)	Data 0.001 (0.002)	Loss 2.1191 (2.2278)	Prec@1 52.344 (44.074)	Prec@5 77.344 (74.698)
Epoch: [32][4800/14090]	Time 0.735 (0.752)	Data 0.001 (0.002)	Loss 2.3035 (2.2277)	Prec@1 46.094 (44.078)	Prec@5 71.094 (74.700)
Epoch: [32][4810/14090]	Time 0.760 (0.752)	Data 0.002 (0.002)	Loss 2.3614 (2.2278)	Prec@1 50.000 (44.079)	Prec@5 71.875 (74.700)
Epoch: [32][4820/14090]	Time 0.761 (0.752)	Data 0.001 (0.002)	Loss 2.0951 (2.2278)	Prec@1 47.656 (44.079)	Prec@5 74.219 (74.702)
Epoch: [32][4830/14090]	Time 0.758 (0.752)	Data 0.001 (0.002)	Loss 2.2403 (2.2278)	Prec@1 33.594 (44.075)	Prec@5 74.219 (74.702)
Epoch: [32][4840/14090]	Time 0.777 (0.752)	Data 0.001 (0.002)	Loss 2.1834 (2.2278)	Prec@1 41.406 (44.072)	Prec@5 78.125 (74.701)
Epoch: [32][4850/14090]	Time 0.729 (0.752)	Data 0.001 (0.002)	Loss 2.3374 (2.2277)	Prec@1 39.062 (44.073)	Prec@5 75.781 (74.704)
Epoch: [32][4860/14090]	Time 0.783 (0.752)	Data 0.001 (0.002)	Loss 2.2106 (2.2277)	Prec@1 43.750 (44.073)	Prec@5 75.000 (74.705)
Epoch: [32][4870/14090]	Time 0.767 (0.752)	Data 0.001 (0.002)	Loss 2.1095 (2.2277)	Prec@1 50.781 (44.077)	Prec@5 73.438 (74.706)
Epoch: [32][4880/14090]	Time 0.734 (0.752)	Data 0.002 (0.002)	Loss 2.2454 (2.2276)	Prec@1 45.312 (44.078)	Prec@5 71.094 (74.707)
Epoch: [32][4890/14090]	Time 0.768 (0.752)	Data 0.001 (0.002)	Loss 2.2016 (2.2276)	Prec@1 50.781 (44.078)	Prec@5 71.875 (74.707)
Epoch: [32][4900/14090]	Time 0.767 (0.752)	Data 0.001 (0.002)	Loss 2.3002 (2.2278)	Prec@1 34.375 (44.077)	Prec@5 72.656 (74.705)
Epoch: [32][4910/14090]	Time 0.753 (0.752)	Data 0.001 (0.002)	Loss 2.2105 (2.2277)	Prec@1 39.062 (44.082)	Prec@5 72.656 (74.707)
Epoch: [32][4920/14090]	Time 0.739 (0.752)	Data 0.001 (0.002)	Loss 2.2492 (2.2276)	Prec@1 41.406 (44.084)	Prec@5 73.438 (74.708)
Epoch: [32][4930/14090]	Time 0.773 (0.752)	Data 0.001 (0.002)	Loss 2.2142 (2.2276)	Prec@1 45.312 (44.084)	Prec@5 76.562 (74.708)
Epoch: [32][4940/14090]	Time 0.782 (0.752)	Data 0.001 (0.002)	Loss 2.4016 (2.2277)	Prec@1 46.875 (44.083)	Prec@5 71.094 (74.707)
Epoch: [32][4950/14090]	Time 0.761 (0.752)	Data 0.002 (0.002)	Loss 2.3409 (2.2277)	Prec@1 40.625 (44.084)	Prec@5 73.438 (74.706)
Epoch: [32][4960/14090]	Time 0.743 (0.752)	Data 0.001 (0.002)	Loss 2.3652 (2.2276)	Prec@1 39.062 (44.082)	Prec@5 70.312 (74.709)
Epoch: [32][4970/14090]	Time 0.753 (0.752)	Data 0.001 (0.002)	Loss 2.2090 (2.2275)	Prec@1 48.438 (44.084)	Prec@5 77.344 (74.712)
Epoch: [32][4980/14090]	Time 0.752 (0.752)	Data 0.001 (0.002)	Loss 2.5423 (2.2277)	Prec@1 36.719 (44.080)	Prec@5 67.969 (74.706)
Epoch: [32][4990/14090]	Time 0.744 (0.752)	Data 0.001 (0.002)	Loss 2.0821 (2.2278)	Prec@1 41.406 (44.080)	Prec@5 79.688 (74.706)
Epoch: [32][5000/14090]	Time 0.729 (0.752)	Data 0.001 (0.002)	Loss 2.3046 (2.2279)	Prec@1 42.969 (44.080)	Prec@5 71.094 (74.703)
Epoch: [32][5010/14090]	Time 0.792 (0.752)	Data 0.001 (0.002)	Loss 2.2510 (2.2278)	Prec@1 42.188 (44.083)	Prec@5 73.438 (74.706)
Epoch: [32][5020/14090]	Time 0.741 (0.752)	Data 0.002 (0.002)	Loss 2.4272 (2.2278)	Prec@1 38.281 (44.080)	Prec@5 70.312 (74.707)
Epoch: [32][5030/14090]	Time 0.760 (0.752)	Data 0.001 (0.002)	Loss 2.2310 (2.2278)	Prec@1 39.844 (44.076)	Prec@5 71.094 (74.706)
Epoch: [32][5040/14090]	Time 0.741 (0.752)	Data 0.001 (0.002)	Loss 2.0456 (2.2277)	Prec@1 44.531 (44.078)	Prec@5 81.250 (74.710)
Epoch: [32][5050/14090]	Time 0.760 (0.752)	Data 0.001 (0.002)	Loss 2.3574 (2.2277)	Prec@1 44.531 (44.081)	Prec@5 70.312 (74.709)
Epoch: [32][5060/14090]	Time 0.749 (0.752)	Data 0.001 (0.002)	Loss 2.2790 (2.2279)	Prec@1 40.625 (44.078)	Prec@5 76.562 (74.707)
Epoch: [32][5070/14090]	Time 0.729 (0.752)	Data 0.001 (0.002)	Loss 2.2533 (2.2280)	Prec@1 39.844 (44.076)	Prec@5 79.688 (74.704)
Epoch: [32][5080/14090]	Time 0.786 (0.752)	Data 0.001 (0.002)	Loss 2.0354 (2.2282)	Prec@1 49.219 (44.075)	Prec@5 77.344 (74.704)
Epoch: [32][5090/14090]	Time 0.735 (0.752)	Data 0.002 (0.002)	Loss 2.2606 (2.2282)	Prec@1 44.531 (44.073)	Prec@5 75.781 (74.703)
Epoch: [32][5100/14090]	Time 0.733 (0.752)	Data 0.001 (0.002)	Loss 2.3458 (2.2284)	Prec@1 42.969 (44.069)	Prec@5 67.969 (74.698)
Epoch: [32][5110/14090]	Time 0.756 (0.752)	Data 0.001 (0.002)	Loss 1.8520 (2.2283)	Prec@1 53.906 (44.073)	Prec@5 82.812 (74.700)
Epoch: [32][5120/14090]	Time 0.756 (0.752)	Data 0.001 (0.002)	Loss 2.5145 (2.2284)	Prec@1 43.750 (44.075)	Prec@5 69.531 (74.698)
Epoch: [32][5130/14090]	Time 0.728 (0.752)	Data 0.002 (0.002)	Loss 2.1465 (2.2284)	Prec@1 49.219 (44.076)	Prec@5 80.469 (74.697)
Epoch: [32][5140/14090]	Time 0.748 (0.752)	Data 0.001 (0.002)	Loss 2.5240 (2.2285)	Prec@1 32.031 (44.073)	Prec@5 71.875 (74.695)
Epoch: [32][5150/14090]	Time 0.736 (0.752)	Data 0.001 (0.002)	Loss 2.0605 (2.2286)	Prec@1 50.000 (44.073)	Prec@5 76.562 (74.693)
Epoch: [32][5160/14090]	Time 0.740 (0.752)	Data 0.002 (0.002)	Loss 2.1733 (2.2286)	Prec@1 42.188 (44.071)	Prec@5 75.781 (74.692)
Epoch: [32][5170/14090]	Time 0.737 (0.752)	Data 0.001 (0.002)	Loss 2.4620 (2.2287)	Prec@1 39.062 (44.071)	Prec@5 70.312 (74.690)
Epoch: [32][5180/14090]	Time 0.738 (0.752)	Data 0.001 (0.002)	Loss 2.1472 (2.2288)	Prec@1 46.094 (44.070)	Prec@5 76.562 (74.688)
Epoch: [32][5190/14090]	Time 0.771 (0.752)	Data 0.001 (0.002)	Loss 2.4026 (2.2289)	Prec@1 46.875 (44.070)	Prec@5 70.312 (74.687)
Epoch: [32][5200/14090]	Time 0.766 (0.752)	Data 0.001 (0.002)	Loss 2.3069 (2.2287)	Prec@1 45.312 (44.071)	Prec@5 72.656 (74.688)
Epoch: [32][5210/14090]	Time 0.751 (0.752)	Data 0.001 (0.002)	Loss 2.2667 (2.2287)	Prec@1 39.062 (44.072)	Prec@5 72.656 (74.685)
Epoch: [32][5220/14090]	Time 0.754 (0.752)	Data 0.001 (0.002)	Loss 2.2148 (2.2287)	Prec@1 44.531 (44.074)	Prec@5 78.906 (74.686)
Epoch: [32][5230/14090]	Time 0.750 (0.752)	Data 0.002 (0.002)	Loss 1.9860 (2.2285)	Prec@1 47.656 (44.078)	Prec@5 74.219 (74.689)
Epoch: [32][5240/14090]	Time 0.730 (0.752)	Data 0.001 (0.002)	Loss 2.6575 (2.2288)	Prec@1 36.719 (44.076)	Prec@5 64.062 (74.684)
Epoch: [32][5250/14090]	Time 0.747 (0.752)	Data 0.001 (0.002)	Loss 2.3042 (2.2288)	Prec@1 42.969 (44.077)	Prec@5 70.312 (74.682)
Epoch: [32][5260/14090]	Time 0.757 (0.752)	Data 0.001 (0.002)	Loss 2.3440 (2.2289)	Prec@1 39.844 (44.075)	Prec@5 75.781 (74.683)
Epoch: [32][5270/14090]	Time 0.756 (0.752)	Data 0.003 (0.002)	Loss 2.2729 (2.2289)	Prec@1 37.500 (44.073)	Prec@5 69.531 (74.682)
Epoch: [32][5280/14090]	Time 0.758 (0.752)	Data 0.001 (0.002)	Loss 2.1908 (2.2290)	Prec@1 48.438 (44.072)	Prec@5 75.781 (74.683)
Epoch: [32][5290/14090]	Time 0.748 (0.752)	Data 0.001 (0.002)	Loss 2.0263 (2.2290)	Prec@1 51.562 (44.074)	Prec@5 79.688 (74.680)
Epoch: [32][5300/14090]	Time 0.755 (0.752)	Data 0.002 (0.002)	Loss 1.9397 (2.2289)	Prec@1 50.000 (44.073)	Prec@5 80.469 (74.684)
Epoch: [32][5310/14090]	Time 0.745 (0.752)	Data 0.001 (0.002)	Loss 2.2144 (2.2290)	Prec@1 42.969 (44.073)	Prec@5 76.562 (74.685)
Epoch: [32][5320/14090]	Time 0.728 (0.752)	Data 0.001 (0.002)	Loss 2.4967 (2.2291)	Prec@1 41.406 (44.074)	Prec@5 69.531 (74.685)
Epoch: [32][5330/14090]	Time 0.763 (0.752)	Data 0.001 (0.002)	Loss 2.4844 (2.2291)	Prec@1 46.875 (44.074)	Prec@5 71.094 (74.685)
Epoch: [32][5340/14090]	Time 0.755 (0.752)	Data 0.001 (0.002)	Loss 2.2638 (2.2291)	Prec@1 41.406 (44.073)	Prec@5 71.875 (74.685)
Epoch: [32][5350/14090]	Time 0.780 (0.752)	Data 0.001 (0.002)	Loss 2.1540 (2.2291)	Prec@1 45.312 (44.073)	Prec@5 76.562 (74.685)
Epoch: [32][5360/14090]	Time 0.731 (0.752)	Data 0.001 (0.002)	Loss 2.1999 (2.2290)	Prec@1 45.312 (44.075)	Prec@5 75.781 (74.687)
Epoch: [32][5370/14090]	Time 0.734 (0.752)	Data 0.002 (0.002)	Loss 2.1960 (2.2291)	Prec@1 42.969 (44.071)	Prec@5 75.000 (74.684)
Epoch: [32][5380/14090]	Time 0.768 (0.752)	Data 0.001 (0.002)	Loss 2.6046 (2.2292)	Prec@1 36.719 (44.074)	Prec@5 67.188 (74.682)
Epoch: [32][5390/14090]	Time 0.733 (0.752)	Data 0.001 (0.002)	Loss 2.0203 (2.2291)	Prec@1 46.875 (44.076)	Prec@5 79.688 (74.684)
Epoch: [32][5400/14090]	Time 0.781 (0.752)	Data 0.001 (0.002)	Loss 2.1967 (2.2291)	Prec@1 46.875 (44.076)	Prec@5 76.562 (74.683)
Epoch: [32][5410/14090]	Time 0.736 (0.752)	Data 0.001 (0.002)	Loss 2.2391 (2.2291)	Prec@1 42.188 (44.075)	Prec@5 74.219 (74.685)
Epoch: [32][5420/14090]	Time 0.750 (0.752)	Data 0.001 (0.002)	Loss 2.2816 (2.2291)	Prec@1 41.406 (44.074)	Prec@5 73.438 (74.683)
Epoch: [32][5430/14090]	Time 0.775 (0.752)	Data 0.001 (0.002)	Loss 2.2479 (2.2292)	Prec@1 38.281 (44.070)	Prec@5 75.781 (74.683)
Epoch: [32][5440/14090]	Time 0.730 (0.752)	Data 0.002 (0.002)	Loss 2.2445 (2.2292)	Prec@1 42.969 (44.072)	Prec@5 75.000 (74.682)
Epoch: [32][5450/14090]	Time 0.780 (0.752)	Data 0.001 (0.002)	Loss 2.2637 (2.2292)	Prec@1 42.969 (44.072)	Prec@5 75.000 (74.679)
Epoch: [32][5460/14090]	Time 0.773 (0.752)	Data 0.001 (0.002)	Loss 2.5384 (2.2292)	Prec@1 39.062 (44.071)	Prec@5 70.312 (74.677)
Epoch: [32][5470/14090]	Time 0.727 (0.752)	Data 0.001 (0.002)	Loss 2.2344 (2.2294)	Prec@1 41.406 (44.069)	Prec@5 76.562 (74.675)
Epoch: [32][5480/14090]	Time 0.726 (0.752)	Data 0.001 (0.002)	Loss 2.3614 (2.2296)	Prec@1 37.500 (44.066)	Prec@5 74.219 (74.669)
Epoch: [32][5490/14090]	Time 0.778 (0.752)	Data 0.001 (0.002)	Loss 2.2181 (2.2296)	Prec@1 45.312 (44.066)	Prec@5 73.438 (74.669)
Epoch: [32][5500/14090]	Time 0.734 (0.752)	Data 0.001 (0.002)	Loss 2.2386 (2.2295)	Prec@1 49.219 (44.066)	Prec@5 75.781 (74.669)
Epoch: [32][5510/14090]	Time 0.770 (0.752)	Data 0.002 (0.002)	Loss 2.1498 (2.2294)	Prec@1 47.656 (44.069)	Prec@5 75.000 (74.672)
Epoch: [32][5520/14090]	Time 0.747 (0.752)	Data 0.001 (0.002)	Loss 2.1596 (2.2294)	Prec@1 44.531 (44.069)	Prec@5 75.781 (74.672)
Epoch: [32][5530/14090]	Time 0.752 (0.752)	Data 0.001 (0.002)	Loss 1.9694 (2.2293)	Prec@1 52.344 (44.071)	Prec@5 78.906 (74.672)
Epoch: [32][5540/14090]	Time 0.737 (0.752)	Data 0.001 (0.002)	Loss 2.5053 (2.2292)	Prec@1 36.719 (44.069)	Prec@5 66.406 (74.671)
Epoch: [32][5550/14090]	Time 0.758 (0.752)	Data 0.001 (0.002)	Loss 2.2513 (2.2292)	Prec@1 41.406 (44.070)	Prec@5 73.438 (74.672)
Epoch: [32][5560/14090]	Time 0.747 (0.752)	Data 0.001 (0.002)	Loss 2.5229 (2.2292)	Prec@1 42.188 (44.070)	Prec@5 69.531 (74.670)
Epoch: [32][5570/14090]	Time 0.764 (0.752)	Data 0.001 (0.002)	Loss 2.3219 (2.2291)	Prec@1 39.844 (44.070)	Prec@5 74.219 (74.672)
Epoch: [32][5580/14090]	Time 0.735 (0.752)	Data 0.002 (0.002)	Loss 2.3859 (2.2292)	Prec@1 39.062 (44.069)	Prec@5 71.094 (74.670)
Epoch: [32][5590/14090]	Time 0.733 (0.752)	Data 0.001 (0.002)	Loss 2.0147 (2.2291)	Prec@1 46.875 (44.069)	Prec@5 76.562 (74.671)
Epoch: [32][5600/14090]	Time 0.748 (0.752)	Data 0.001 (0.002)	Loss 2.3688 (2.2291)	Prec@1 39.844 (44.067)	Prec@5 69.531 (74.672)
Epoch: [32][5610/14090]	Time 0.724 (0.752)	Data 0.001 (0.002)	Loss 2.3589 (2.2292)	Prec@1 41.406 (44.064)	Prec@5 69.531 (74.671)
Epoch: [32][5620/14090]	Time 0.745 (0.752)	Data 0.001 (0.002)	Loss 2.0268 (2.2291)	Prec@1 46.094 (44.070)	Prec@5 76.562 (74.675)
Epoch: [32][5630/14090]	Time 0.752 (0.752)	Data 0.001 (0.002)	Loss 2.3021 (2.2290)	Prec@1 45.312 (44.073)	Prec@5 71.875 (74.676)
Epoch: [32][5640/14090]	Time 0.748 (0.752)	Data 0.001 (0.002)	Loss 2.5046 (2.2291)	Prec@1 38.281 (44.072)	Prec@5 73.438 (74.671)
Epoch: [32][5650/14090]	Time 0.781 (0.752)	Data 0.004 (0.002)	Loss 1.9525 (2.2289)	Prec@1 47.656 (44.075)	Prec@5 80.469 (74.673)
Epoch: [32][5660/14090]	Time 0.785 (0.752)	Data 0.001 (0.002)	Loss 2.3126 (2.2289)	Prec@1 43.750 (44.074)	Prec@5 72.656 (74.674)
Epoch: [32][5670/14090]	Time 0.749 (0.752)	Data 0.001 (0.002)	Loss 2.1965 (2.2290)	Prec@1 40.625 (44.073)	Prec@5 74.219 (74.671)
Epoch: [32][5680/14090]	Time 0.733 (0.752)	Data 0.001 (0.002)	Loss 2.1071 (2.2291)	Prec@1 45.312 (44.070)	Prec@5 77.344 (74.668)
Epoch: [32][5690/14090]	Time 0.738 (0.752)	Data 0.001 (0.002)	Loss 2.1904 (2.2291)	Prec@1 43.750 (44.071)	Prec@5 75.000 (74.668)
Epoch: [32][5700/14090]	Time 0.753 (0.752)	Data 0.001 (0.002)	Loss 2.4374 (2.2292)	Prec@1 41.406 (44.072)	Prec@5 71.875 (74.666)
Epoch: [32][5710/14090]	Time 0.743 (0.752)	Data 0.001 (0.002)	Loss 2.2472 (2.2291)	Prec@1 39.844 (44.073)	Prec@5 78.125 (74.670)
Epoch: [32][5720/14090]	Time 0.748 (0.752)	Data 0.002 (0.002)	Loss 2.1313 (2.2292)	Prec@1 46.875 (44.069)	Prec@5 77.344 (74.668)
Epoch: [32][5730/14090]	Time 0.811 (0.752)	Data 0.001 (0.002)	Loss 2.3044 (2.2292)	Prec@1 43.750 (44.068)	Prec@5 72.656 (74.666)
Epoch: [32][5740/14090]	Time 0.767 (0.752)	Data 0.001 (0.002)	Loss 2.2239 (2.2293)	Prec@1 50.000 (44.067)	Prec@5 76.562 (74.662)
Epoch: [32][5750/14090]	Time 0.761 (0.752)	Data 0.001 (0.002)	Loss 2.3068 (2.2294)	Prec@1 41.406 (44.066)	Prec@5 78.125 (74.663)
Epoch: [32][5760/14090]	Time 0.737 (0.752)	Data 0.001 (0.002)	Loss 2.2229 (2.2294)	Prec@1 39.844 (44.067)	Prec@5 76.562 (74.662)
Epoch: [32][5770/14090]	Time 0.763 (0.752)	Data 0.001 (0.002)	Loss 2.1927 (2.2296)	Prec@1 46.094 (44.063)	Prec@5 77.344 (74.660)
Epoch: [32][5780/14090]	Time 0.752 (0.752)	Data 0.001 (0.002)	Loss 2.3100 (2.2294)	Prec@1 39.844 (44.066)	Prec@5 71.875 (74.661)
Epoch: [32][5790/14090]	Time 0.777 (0.752)	Data 0.004 (0.002)	Loss 2.2859 (2.2293)	Prec@1 44.531 (44.069)	Prec@5 75.000 (74.662)
Epoch: [32][5800/14090]	Time 0.767 (0.752)	Data 0.001 (0.002)	Loss 2.3406 (2.2293)	Prec@1 43.750 (44.068)	Prec@5 72.656 (74.662)
Epoch: [32][5810/14090]	Time 0.750 (0.752)	Data 0.001 (0.002)	Loss 2.1509 (2.2292)	Prec@1 46.875 (44.070)	Prec@5 73.438 (74.663)
Epoch: [32][5820/14090]	Time 0.761 (0.752)	Data 0.001 (0.002)	Loss 2.2394 (2.2292)	Prec@1 42.969 (44.069)	Prec@5 75.000 (74.662)
Epoch: [32][5830/14090]	Time 0.758 (0.752)	Data 0.001 (0.002)	Loss 2.3463 (2.2291)	Prec@1 36.719 (44.070)	Prec@5 70.312 (74.666)
Epoch: [32][5840/14090]	Time 0.734 (0.752)	Data 0.001 (0.002)	Loss 2.3549 (2.2292)	Prec@1 46.094 (44.067)	Prec@5 73.438 (74.665)
Epoch: [32][5850/14090]	Time 0.748 (0.752)	Data 0.001 (0.002)	Loss 2.3312 (2.2293)	Prec@1 47.656 (44.063)	Prec@5 69.531 (74.663)
Epoch: [32][5860/14090]	Time 0.751 (0.752)	Data 0.002 (0.002)	Loss 2.0692 (2.2294)	Prec@1 43.750 (44.062)	Prec@5 83.594 (74.664)
Epoch: [32][5870/14090]	Time 0.747 (0.752)	Data 0.001 (0.002)	Loss 2.0438 (2.2295)	Prec@1 50.000 (44.058)	Prec@5 77.344 (74.661)
Epoch: [32][5880/14090]	Time 0.769 (0.752)	Data 0.001 (0.002)	Loss 2.4199 (2.2295)	Prec@1 42.188 (44.059)	Prec@5 69.531 (74.662)
Epoch: [32][5890/14090]	Time 0.749 (0.752)	Data 0.001 (0.002)	Loss 1.9556 (2.2295)	Prec@1 46.094 (44.057)	Prec@5 81.250 (74.661)
Epoch: [32][5900/14090]	Time 0.752 (0.752)	Data 0.001 (0.002)	Loss 2.3643 (2.2295)	Prec@1 42.188 (44.054)	Prec@5 71.094 (74.660)
Epoch: [32][5910/14090]	Time 0.755 (0.752)	Data 0.001 (0.002)	Loss 2.1618 (2.2294)	Prec@1 46.094 (44.055)	Prec@5 75.781 (74.662)
Epoch: [32][5920/14090]	Time 0.746 (0.752)	Data 0.001 (0.002)	Loss 2.3436 (2.2294)	Prec@1 42.969 (44.056)	Prec@5 72.656 (74.663)
Epoch: [32][5930/14090]	Time 0.778 (0.752)	Data 0.002 (0.002)	Loss 2.0645 (2.2293)	Prec@1 47.656 (44.057)	Prec@5 77.344 (74.665)
Epoch: [32][5940/14090]	Time 0.763 (0.752)	Data 0.001 (0.002)	Loss 2.2601 (2.2292)	Prec@1 45.312 (44.061)	Prec@5 73.438 (74.665)
Epoch: [32][5950/14090]	Time 0.751 (0.752)	Data 0.001 (0.002)	Loss 2.3075 (2.2293)	Prec@1 38.281 (44.057)	Prec@5 69.531 (74.663)
Epoch: [32][5960/14090]	Time 0.747 (0.752)	Data 0.001 (0.002)	Loss 2.1561 (2.2294)	Prec@1 44.531 (44.056)	Prec@5 74.219 (74.662)
Epoch: [32][5970/14090]	Time 0.768 (0.752)	Data 0.001 (0.002)	Loss 2.0500 (2.2294)	Prec@1 50.781 (44.053)	Prec@5 78.906 (74.662)
Epoch: [32][5980/14090]	Time 0.766 (0.752)	Data 0.001 (0.002)	Loss 2.3081 (2.2294)	Prec@1 39.062 (44.054)	Prec@5 76.562 (74.662)
Epoch: [32][5990/14090]	Time 0.774 (0.752)	Data 0.002 (0.002)	Loss 2.3953 (2.2295)	Prec@1 40.625 (44.051)	Prec@5 72.656 (74.663)
Epoch: [32][6000/14090]	Time 0.744 (0.752)	Data 0.002 (0.002)	Loss 2.3392 (2.2296)	Prec@1 39.844 (44.051)	Prec@5 73.438 (74.660)
Epoch: [32][6010/14090]	Time 0.724 (0.752)	Data 0.001 (0.002)	Loss 2.5706 (2.2297)	Prec@1 39.062 (44.049)	Prec@5 69.531 (74.661)
Epoch: [32][6020/14090]	Time 0.767 (0.752)	Data 0.001 (0.002)	Loss 2.4727 (2.2298)	Prec@1 38.281 (44.047)	Prec@5 73.438 (74.658)
Epoch: [32][6030/14090]	Time 0.748 (0.752)	Data 0.001 (0.002)	Loss 2.4317 (2.2299)	Prec@1 39.062 (44.045)	Prec@5 71.875 (74.657)
Epoch: [32][6040/14090]	Time 0.737 (0.752)	Data 0.001 (0.002)	Loss 2.3171 (2.2299)	Prec@1 43.750 (44.046)	Prec@5 71.094 (74.656)
Epoch: [32][6050/14090]	Time 0.745 (0.752)	Data 0.001 (0.002)	Loss 2.1149 (2.2298)	Prec@1 46.094 (44.047)	Prec@5 75.000 (74.655)
Epoch: [32][6060/14090]	Time 0.735 (0.752)	Data 0.001 (0.002)	Loss 2.3353 (2.2297)	Prec@1 43.750 (44.051)	Prec@5 75.000 (74.657)
Epoch: [32][6070/14090]	Time 0.741 (0.752)	Data 0.004 (0.002)	Loss 2.3861 (2.2298)	Prec@1 43.750 (44.052)	Prec@5 72.656 (74.656)
Epoch: [32][6080/14090]	Time 0.763 (0.752)	Data 0.001 (0.002)	Loss 2.2030 (2.2298)	Prec@1 39.844 (44.054)	Prec@5 77.344 (74.657)
Epoch: [32][6090/14090]	Time 0.762 (0.752)	Data 0.001 (0.002)	Loss 1.8427 (2.2297)	Prec@1 49.219 (44.056)	Prec@5 87.500 (74.659)
Epoch: [32][6100/14090]	Time 0.747 (0.752)	Data 0.001 (0.002)	Loss 2.0778 (2.2298)	Prec@1 46.094 (44.056)	Prec@5 76.562 (74.660)
Epoch: [32][6110/14090]	Time 0.749 (0.752)	Data 0.001 (0.002)	Loss 2.5482 (2.2298)	Prec@1 36.719 (44.056)	Prec@5 65.625 (74.659)
Epoch: [32][6120/14090]	Time 0.782 (0.752)	Data 0.001 (0.002)	Loss 2.3709 (2.2297)	Prec@1 39.062 (44.059)	Prec@5 75.781 (74.658)
Epoch: [32][6130/14090]	Time 0.760 (0.752)	Data 0.001 (0.002)	Loss 2.1862 (2.2296)	Prec@1 49.219 (44.063)	Prec@5 74.219 (74.661)
Epoch: [32][6140/14090]	Time 0.732 (0.752)	Data 0.002 (0.002)	Loss 2.2621 (2.2296)	Prec@1 42.969 (44.065)	Prec@5 76.562 (74.664)
Epoch: [32][6150/14090]	Time 0.778 (0.752)	Data 0.001 (0.002)	Loss 2.0216 (2.2295)	Prec@1 47.656 (44.066)	Prec@5 75.781 (74.666)
Epoch: [32][6160/14090]	Time 0.739 (0.752)	Data 0.001 (0.002)	Loss 1.9702 (2.2294)	Prec@1 49.219 (44.066)	Prec@5 78.125 (74.667)
Epoch: [32][6170/14090]	Time 0.766 (0.752)	Data 0.001 (0.002)	Loss 2.2612 (2.2293)	Prec@1 47.656 (44.067)	Prec@5 73.438 (74.667)
Epoch: [32][6180/14090]	Time 0.746 (0.752)	Data 0.001 (0.002)	Loss 2.2727 (2.2293)	Prec@1 40.625 (44.065)	Prec@5 73.438 (74.668)
Epoch: [32][6190/14090]	Time 0.752 (0.752)	Data 0.001 (0.002)	Loss 2.2138 (2.2294)	Prec@1 39.062 (44.062)	Prec@5 78.906 (74.668)
Epoch: [32][6200/14090]	Time 0.752 (0.752)	Data 0.001 (0.002)	Loss 2.2054 (2.2294)	Prec@1 46.875 (44.061)	Prec@5 71.875 (74.666)
Epoch: [32][6210/14090]	Time 0.747 (0.752)	Data 0.002 (0.002)	Loss 2.1147 (2.2294)	Prec@1 46.875 (44.058)	Prec@5 75.781 (74.665)
Epoch: [32][6220/14090]	Time 0.751 (0.752)	Data 0.001 (0.002)	Loss 2.1545 (2.2295)	Prec@1 38.281 (44.055)	Prec@5 76.562 (74.665)
Epoch: [32][6230/14090]	Time 0.762 (0.752)	Data 0.001 (0.002)	Loss 2.2243 (2.2294)	Prec@1 47.656 (44.057)	Prec@5 71.875 (74.666)
Epoch: [32][6240/14090]	Time 0.763 (0.752)	Data 0.001 (0.002)	Loss 2.3613 (2.2295)	Prec@1 40.625 (44.054)	Prec@5 73.438 (74.666)
Epoch: [32][6250/14090]	Time 0.734 (0.752)	Data 0.001 (0.002)	Loss 2.2249 (2.2295)	Prec@1 46.875 (44.053)	Prec@5 75.000 (74.664)
Epoch: [32][6260/14090]	Time 0.741 (0.752)	Data 0.001 (0.002)	Loss 2.0792 (2.2295)	Prec@1 48.438 (44.056)	Prec@5 79.688 (74.666)
Epoch: [32][6270/14090]	Time 0.752 (0.752)	Data 0.001 (0.002)	Loss 2.3363 (2.2295)	Prec@1 41.406 (44.056)	Prec@5 72.656 (74.664)
Epoch: [32][6280/14090]	Time 0.752 (0.752)	Data 0.002 (0.002)	Loss 2.2098 (2.2295)	Prec@1 43.750 (44.056)	Prec@5 78.125 (74.666)
Epoch: [32][6290/14090]	Time 0.760 (0.752)	Data 0.001 (0.002)	Loss 2.0640 (2.2295)	Prec@1 46.094 (44.055)	Prec@5 79.688 (74.668)
Epoch: [32][6300/14090]	Time 0.765 (0.752)	Data 0.001 (0.002)	Loss 2.2196 (2.2294)	Prec@1 43.750 (44.056)	Prec@5 74.219 (74.671)
Epoch: [32][6310/14090]	Time 0.727 (0.752)	Data 0.001 (0.002)	Loss 2.0249 (2.2293)	Prec@1 50.000 (44.059)	Prec@5 78.125 (74.674)
Epoch: [32][6320/14090]	Time 0.732 (0.752)	Data 0.001 (0.002)	Loss 2.2195 (2.2291)	Prec@1 45.312 (44.062)	Prec@5 74.219 (74.676)
Epoch: [32][6330/14090]	Time 0.750 (0.752)	Data 0.001 (0.002)	Loss 2.3269 (2.2292)	Prec@1 39.844 (44.059)	Prec@5 71.875 (74.674)
Epoch: [32][6340/14090]	Time 0.731 (0.752)	Data 0.001 (0.002)	Loss 2.2193 (2.2292)	Prec@1 45.312 (44.058)	Prec@5 75.781 (74.673)
Epoch: [32][6350/14090]	Time 0.770 (0.752)	Data 0.002 (0.002)	Loss 1.9932 (2.2292)	Prec@1 49.219 (44.059)	Prec@5 78.125 (74.674)
Epoch: [32][6360/14090]	Time 0.767 (0.752)	Data 0.001 (0.002)	Loss 2.1360 (2.2291)	Prec@1 46.094 (44.059)	Prec@5 77.344 (74.676)
Epoch: [32][6370/14090]	Time 0.754 (0.752)	Data 0.001 (0.002)	Loss 2.4846 (2.2291)	Prec@1 36.719 (44.060)	Prec@5 67.188 (74.677)
Epoch: [32][6380/14090]	Time 0.757 (0.752)	Data 0.001 (0.002)	Loss 2.2316 (2.2291)	Prec@1 45.312 (44.059)	Prec@5 73.438 (74.675)
Epoch: [32][6390/14090]	Time 0.734 (0.752)	Data 0.001 (0.002)	Loss 2.2018 (2.2291)	Prec@1 46.094 (44.059)	Prec@5 75.000 (74.675)
Epoch: [32][6400/14090]	Time 0.722 (0.752)	Data 0.001 (0.002)	Loss 2.5447 (2.2292)	Prec@1 34.375 (44.055)	Prec@5 70.312 (74.672)
Epoch: [32][6410/14090]	Time 0.739 (0.752)	Data 0.002 (0.002)	Loss 2.0396 (2.2292)	Prec@1 46.094 (44.057)	Prec@5 78.906 (74.673)
Epoch: [32][6420/14090]	Time 0.778 (0.752)	Data 0.002 (0.002)	Loss 2.1421 (2.2290)	Prec@1 46.094 (44.058)	Prec@5 77.344 (74.675)
Epoch: [32][6430/14090]	Time 0.744 (0.752)	Data 0.001 (0.002)	Loss 2.2788 (2.2290)	Prec@1 39.844 (44.058)	Prec@5 70.312 (74.674)
Epoch: [32][6440/14090]	Time 0.739 (0.752)	Data 0.001 (0.002)	Loss 2.1409 (2.2291)	Prec@1 43.750 (44.058)	Prec@5 75.781 (74.674)
Epoch: [32][6450/14090]	Time 0.746 (0.752)	Data 0.001 (0.002)	Loss 2.1140 (2.2290)	Prec@1 46.875 (44.057)	Prec@5 81.250 (74.674)
Epoch: [32][6460/14090]	Time 0.753 (0.752)	Data 0.001 (0.002)	Loss 2.1135 (2.2290)	Prec@1 46.094 (44.059)	Prec@5 76.562 (74.677)
Epoch: [32][6470/14090]	Time 0.742 (0.752)	Data 0.001 (0.002)	Loss 2.1574 (2.2290)	Prec@1 46.094 (44.060)	Prec@5 73.438 (74.676)
Epoch: [32][6480/14090]	Time 0.725 (0.752)	Data 0.001 (0.002)	Loss 2.1728 (2.2290)	Prec@1 47.656 (44.062)	Prec@5 77.344 (74.676)
Epoch: [32][6490/14090]	Time 0.769 (0.752)	Data 0.002 (0.002)	Loss 2.1702 (2.2289)	Prec@1 47.656 (44.066)	Prec@5 75.781 (74.676)
Epoch: [32][6500/14090]	Time 0.759 (0.752)	Data 0.001 (0.002)	Loss 2.2703 (2.2288)	Prec@1 38.281 (44.067)	Prec@5 69.531 (74.677)
Epoch: [32][6510/14090]	Time 0.775 (0.752)	Data 0.001 (0.002)	Loss 1.9352 (2.2288)	Prec@1 50.000 (44.068)	Prec@5 78.125 (74.679)
Epoch: [32][6520/14090]	Time 0.742 (0.752)	Data 0.001 (0.002)	Loss 2.1753 (2.2288)	Prec@1 46.875 (44.067)	Prec@5 74.219 (74.678)
Epoch: [32][6530/14090]	Time 0.739 (0.752)	Data 0.001 (0.002)	Loss 2.3937 (2.2290)	Prec@1 40.625 (44.062)	Prec@5 67.969 (74.674)
Epoch: [32][6540/14090]	Time 0.730 (0.752)	Data 0.001 (0.002)	Loss 2.3882 (2.2290)	Prec@1 42.188 (44.065)	Prec@5 71.094 (74.672)
Epoch: [32][6550/14090]	Time 0.756 (0.752)	Data 0.001 (0.002)	Loss 2.2105 (2.2292)	Prec@1 45.312 (44.061)	Prec@5 72.656 (74.669)
Epoch: [32][6560/14090]	Time 0.739 (0.752)	Data 0.004 (0.002)	Loss 2.1252 (2.2293)	Prec@1 40.625 (44.060)	Prec@5 76.562 (74.666)
Epoch: [32][6570/14090]	Time 0.744 (0.752)	Data 0.001 (0.002)	Loss 2.2267 (2.2294)	Prec@1 46.875 (44.059)	Prec@5 71.094 (74.662)
Epoch: [32][6580/14090]	Time 0.762 (0.752)	Data 0.001 (0.002)	Loss 2.4200 (2.2294)	Prec@1 43.750 (44.061)	Prec@5 73.438 (74.664)
Epoch: [32][6590/14090]	Time 0.727 (0.752)	Data 0.001 (0.002)	Loss 1.9078 (2.2293)	Prec@1 49.219 (44.064)	Prec@5 77.344 (74.665)
Epoch: [32][6600/14090]	Time 0.741 (0.752)	Data 0.001 (0.002)	Loss 2.3346 (2.2294)	Prec@1 46.875 (44.063)	Prec@5 75.781 (74.664)
Epoch: [32][6610/14090]	Time 0.767 (0.752)	Data 0.001 (0.002)	Loss 2.1108 (2.2294)	Prec@1 47.656 (44.065)	Prec@5 76.562 (74.662)
Epoch: [32][6620/14090]	Time 0.755 (0.752)	Data 0.001 (0.002)	Loss 2.2523 (2.2294)	Prec@1 42.969 (44.064)	Prec@5 73.438 (74.663)
Epoch: [32][6630/14090]	Time 0.774 (0.752)	Data 0.002 (0.002)	Loss 1.8686 (2.2293)	Prec@1 49.219 (44.063)	Prec@5 78.125 (74.663)
Epoch: [32][6640/14090]	Time 0.779 (0.752)	Data 0.001 (0.002)	Loss 2.1865 (2.2294)	Prec@1 43.750 (44.060)	Prec@5 77.344 (74.661)
Epoch: [32][6650/14090]	Time 0.760 (0.752)	Data 0.001 (0.002)	Loss 2.1665 (2.2293)	Prec@1 45.312 (44.059)	Prec@5 75.000 (74.662)
Epoch: [32][6660/14090]	Time 0.782 (0.752)	Data 0.001 (0.002)	Loss 2.1281 (2.2295)	Prec@1 46.094 (44.055)	Prec@5 75.781 (74.661)
Epoch: [32][6670/14090]	Time 0.740 (0.752)	Data 0.001 (0.002)	Loss 2.1930 (2.2294)	Prec@1 43.750 (44.053)	Prec@5 76.562 (74.664)
Epoch: [32][6680/14090]	Time 0.774 (0.752)	Data 0.001 (0.002)	Loss 2.1351 (2.2294)	Prec@1 42.969 (44.056)	Prec@5 79.688 (74.664)
Epoch: [32][6690/14090]	Time 0.736 (0.752)	Data 0.001 (0.002)	Loss 2.0044 (2.2293)	Prec@1 46.094 (44.053)	Prec@5 78.906 (74.663)
Epoch: [32][6700/14090]	Time 0.762 (0.752)	Data 0.002 (0.002)	Loss 2.2034 (2.2294)	Prec@1 46.875 (44.050)	Prec@5 75.000 (74.662)
Epoch: [32][6710/14090]	Time 0.741 (0.752)	Data 0.001 (0.002)	Loss 1.9694 (2.2295)	Prec@1 45.312 (44.048)	Prec@5 79.688 (74.660)
Epoch: [32][6720/14090]	Time 0.768 (0.752)	Data 0.001 (0.002)	Loss 2.0862 (2.2294)	Prec@1 45.312 (44.050)	Prec@5 75.000 (74.662)
Epoch: [32][6730/14090]	Time 0.770 (0.752)	Data 0.001 (0.002)	Loss 1.8026 (2.2292)	Prec@1 53.906 (44.052)	Prec@5 85.938 (74.667)
Epoch: [32][6740/14090]	Time 0.755 (0.752)	Data 0.003 (0.002)	Loss 2.3158 (2.2291)	Prec@1 47.656 (44.057)	Prec@5 72.656 (74.670)
Epoch: [32][6750/14090]	Time 0.764 (0.752)	Data 0.001 (0.002)	Loss 2.3024 (2.2291)	Prec@1 45.312 (44.056)	Prec@5 74.219 (74.670)
Epoch: [32][6760/14090]	Time 0.754 (0.752)	Data 0.001 (0.002)	Loss 2.2473 (2.2292)	Prec@1 39.062 (44.056)	Prec@5 74.219 (74.670)
Epoch: [32][6770/14090]	Time 0.766 (0.752)	Data 0.002 (0.002)	Loss 2.0026 (2.2290)	Prec@1 46.094 (44.058)	Prec@5 78.125 (74.672)
Epoch: [32][6780/14090]	Time 0.737 (0.752)	Data 0.001 (0.002)	Loss 2.2021 (2.2292)	Prec@1 45.312 (44.056)	Prec@5 78.125 (74.668)
Epoch: [32][6790/14090]	Time 0.752 (0.752)	Data 0.001 (0.002)	Loss 2.3849 (2.2292)	Prec@1 42.188 (44.056)	Prec@5 71.094 (74.668)
Epoch: [32][6800/14090]	Time 0.741 (0.752)	Data 0.001 (0.002)	Loss 2.5078 (2.2293)	Prec@1 42.969 (44.054)	Prec@5 71.875 (74.666)
Epoch: [32][6810/14090]	Time 0.754 (0.752)	Data 0.001 (0.002)	Loss 2.1290 (2.2293)	Prec@1 41.406 (44.054)	Prec@5 78.125 (74.667)
Epoch: [32][6820/14090]	Time 0.748 (0.752)	Data 0.001 (0.002)	Loss 2.1759 (2.2293)	Prec@1 48.438 (44.054)	Prec@5 75.000 (74.664)
Epoch: [32][6830/14090]	Time 0.744 (0.752)	Data 0.001 (0.002)	Loss 1.9555 (2.2293)	Prec@1 48.438 (44.056)	Prec@5 74.219 (74.664)
Epoch: [32][6840/14090]	Time 0.740 (0.752)	Data 0.002 (0.002)	Loss 2.0413 (2.2293)	Prec@1 50.781 (44.056)	Prec@5 81.250 (74.664)
Epoch: [32][6850/14090]	Time 0.761 (0.752)	Data 0.001 (0.002)	Loss 2.3403 (2.2293)	Prec@1 41.406 (44.056)	Prec@5 71.094 (74.664)
Epoch: [32][6860/14090]	Time 0.754 (0.752)	Data 0.001 (0.002)	Loss 2.3435 (2.2294)	Prec@1 39.844 (44.056)	Prec@5 68.750 (74.661)
Epoch: [32][6870/14090]	Time 0.766 (0.752)	Data 0.001 (0.002)	Loss 2.3130 (2.2295)	Prec@1 43.750 (44.054)	Prec@5 71.875 (74.660)
Epoch: [32][6880/14090]	Time 0.742 (0.752)	Data 0.001 (0.002)	Loss 2.4014 (2.2295)	Prec@1 35.938 (44.052)	Prec@5 73.438 (74.660)
Epoch: [32][6890/14090]	Time 0.760 (0.752)	Data 0.001 (0.002)	Loss 2.0747 (2.2295)	Prec@1 50.000 (44.053)	Prec@5 75.000 (74.659)
Epoch: [32][6900/14090]	Time 0.742 (0.752)	Data 0.001 (0.002)	Loss 2.1449 (2.2295)	Prec@1 48.438 (44.056)	Prec@5 78.906 (74.659)
Epoch: [32][6910/14090]	Time 0.755 (0.752)	Data 0.002 (0.002)	Loss 2.2669 (2.2293)	Prec@1 46.094 (44.056)	Prec@5 74.219 (74.662)
Epoch: [32][6920/14090]	Time 0.744 (0.752)	Data 0.001 (0.002)	Loss 2.1925 (2.2293)	Prec@1 39.844 (44.056)	Prec@5 77.344 (74.662)
Epoch: [32][6930/14090]	Time 0.753 (0.752)	Data 0.001 (0.002)	Loss 2.3788 (2.2292)	Prec@1 39.062 (44.061)	Prec@5 73.438 (74.665)
Epoch: [32][6940/14090]	Time 0.750 (0.752)	Data 0.001 (0.002)	Loss 2.0087 (2.2292)	Prec@1 44.531 (44.060)	Prec@5 81.250 (74.665)
Epoch: [32][6950/14090]	Time 0.754 (0.752)	Data 0.001 (0.002)	Loss 2.1133 (2.2293)	Prec@1 46.094 (44.060)	Prec@5 75.000 (74.664)
Epoch: [32][6960/14090]	Time 0.762 (0.752)	Data 0.001 (0.002)	Loss 2.1922 (2.2294)	Prec@1 45.312 (44.060)	Prec@5 71.875 (74.661)
Epoch: [32][6970/14090]	Time 0.736 (0.752)	Data 0.001 (0.002)	Loss 2.1475 (2.2294)	Prec@1 48.438 (44.060)	Prec@5 82.031 (74.661)
Epoch: [32][6980/14090]	Time 0.731 (0.752)	Data 0.002 (0.002)	Loss 2.2809 (2.2295)	Prec@1 42.188 (44.058)	Prec@5 73.438 (74.661)
Epoch: [32][6990/14090]	Time 0.767 (0.752)	Data 0.001 (0.002)	Loss 2.1767 (2.2294)	Prec@1 42.188 (44.060)	Prec@5 74.219 (74.661)
Epoch: [32][7000/14090]	Time 0.738 (0.752)	Data 0.001 (0.002)	Loss 1.8680 (2.2294)	Prec@1 51.562 (44.058)	Prec@5 77.344 (74.658)
Epoch: [32][7010/14090]	Time 0.733 (0.752)	Data 0.001 (0.002)	Loss 2.4580 (2.2294)	Prec@1 41.406 (44.060)	Prec@5 66.406 (74.659)
Epoch: [32][7020/14090]	Time 0.761 (0.752)	Data 0.001 (0.002)	Loss 2.1400 (2.2293)	Prec@1 44.531 (44.059)	Prec@5 74.219 (74.662)
Epoch: [32][7030/14090]	Time 0.734 (0.752)	Data 0.001 (0.002)	Loss 2.3422 (2.2294)	Prec@1 35.156 (44.057)	Prec@5 71.875 (74.663)
Epoch: [32][7040/14090]	Time 0.762 (0.752)	Data 0.001 (0.002)	Loss 2.2497 (2.2295)	Prec@1 41.406 (44.057)	Prec@5 73.438 (74.658)
Epoch: [32][7050/14090]	Time 0.755 (0.752)	Data 0.002 (0.002)	Loss 2.2649 (2.2296)	Prec@1 43.750 (44.056)	Prec@5 76.562 (74.656)
Epoch: [32][7060/14090]	Time 0.732 (0.752)	Data 0.001 (0.002)	Loss 2.1665 (2.2296)	Prec@1 43.750 (44.054)	Prec@5 75.781 (74.657)
Epoch: [32][7070/14090]	Time 0.736 (0.752)	Data 0.001 (0.002)	Loss 2.2580 (2.2297)	Prec@1 46.875 (44.053)	Prec@5 75.000 (74.656)
Epoch: [32][7080/14090]	Time 0.756 (0.752)	Data 0.001 (0.002)	Loss 2.1654 (2.2297)	Prec@1 47.656 (44.051)	Prec@5 78.125 (74.658)
Epoch: [32][7090/14090]	Time 0.735 (0.752)	Data 0.001 (0.002)	Loss 2.3621 (2.2297)	Prec@1 39.844 (44.051)	Prec@5 71.875 (74.657)
Epoch: [32][7100/14090]	Time 0.750 (0.752)	Data 0.001 (0.002)	Loss 2.4357 (2.2298)	Prec@1 37.500 (44.052)	Prec@5 74.219 (74.655)
Epoch: [32][7110/14090]	Time 0.775 (0.752)	Data 0.001 (0.002)	Loss 2.4585 (2.2297)	Prec@1 45.312 (44.054)	Prec@5 67.188 (74.656)
Epoch: [32][7120/14090]	Time 0.740 (0.752)	Data 0.002 (0.002)	Loss 2.3783 (2.2298)	Prec@1 42.969 (44.051)	Prec@5 71.875 (74.653)
Epoch: [32][7130/14090]	Time 0.763 (0.752)	Data 0.001 (0.002)	Loss 2.2641 (2.2297)	Prec@1 43.750 (44.052)	Prec@5 72.656 (74.654)
Epoch: [32][7140/14090]	Time 0.751 (0.752)	Data 0.001 (0.002)	Loss 1.9686 (2.2297)	Prec@1 50.000 (44.053)	Prec@5 75.781 (74.654)
Epoch: [32][7150/14090]	Time 0.745 (0.752)	Data 0.001 (0.002)	Loss 2.0085 (2.2296)	Prec@1 50.000 (44.054)	Prec@5 80.469 (74.655)
Epoch: [32][7160/14090]	Time 0.765 (0.752)	Data 0.001 (0.002)	Loss 2.3927 (2.2297)	Prec@1 39.062 (44.052)	Prec@5 75.000 (74.653)
Epoch: [32][7170/14090]	Time 0.758 (0.752)	Data 0.003 (0.002)	Loss 2.4142 (2.2298)	Prec@1 42.969 (44.051)	Prec@5 75.781 (74.652)
Epoch: [32][7180/14090]	Time 0.743 (0.752)	Data 0.001 (0.002)	Loss 2.1574 (2.2297)	Prec@1 51.562 (44.054)	Prec@5 73.438 (74.654)
Epoch: [32][7190/14090]	Time 0.731 (0.752)	Data 0.002 (0.002)	Loss 2.3488 (2.2297)	Prec@1 40.625 (44.054)	Prec@5 74.219 (74.655)
Epoch: [32][7200/14090]	Time 0.740 (0.752)	Data 0.001 (0.002)	Loss 2.0660 (2.2296)	Prec@1 43.750 (44.055)	Prec@5 75.000 (74.655)
Epoch: [32][7210/14090]	Time 0.740 (0.752)	Data 0.001 (0.002)	Loss 2.3171 (2.2295)	Prec@1 41.406 (44.056)	Prec@5 74.219 (74.656)
Epoch: [32][7220/14090]	Time 0.747 (0.752)	Data 0.001 (0.002)	Loss 2.2907 (2.2296)	Prec@1 39.844 (44.057)	Prec@5 74.219 (74.655)
Epoch: [32][7230/14090]	Time 0.749 (0.752)	Data 0.001 (0.002)	Loss 2.2254 (2.2297)	Prec@1 42.969 (44.052)	Prec@5 75.781 (74.653)
Epoch: [32][7240/14090]	Time 0.768 (0.752)	Data 0.001 (0.002)	Loss 2.2122 (2.2296)	Prec@1 50.781 (44.056)	Prec@5 72.656 (74.655)
Epoch: [32][7250/14090]	Time 0.738 (0.752)	Data 0.001 (0.002)	Loss 2.3128 (2.2296)	Prec@1 39.062 (44.054)	Prec@5 75.781 (74.654)
Epoch: [32][7260/14090]	Time 0.758 (0.752)	Data 0.002 (0.002)	Loss 1.9915 (2.2296)	Prec@1 47.656 (44.053)	Prec@5 81.250 (74.654)
Epoch: [32][7270/14090]	Time 0.779 (0.752)	Data 0.001 (0.002)	Loss 2.3201 (2.2297)	Prec@1 45.312 (44.055)	Prec@5 73.438 (74.651)
Epoch: [32][7280/14090]	Time 0.741 (0.752)	Data 0.001 (0.002)	Loss 1.9454 (2.2297)	Prec@1 51.562 (44.056)	Prec@5 82.031 (74.652)
Epoch: [32][7290/14090]	Time 0.747 (0.752)	Data 0.001 (0.002)	Loss 2.5026 (2.2297)	Prec@1 38.281 (44.055)	Prec@5 71.094 (74.651)
Epoch: [32][7300/14090]	Time 0.748 (0.752)	Data 0.001 (0.002)	Loss 2.2072 (2.2297)	Prec@1 43.750 (44.054)	Prec@5 71.875 (74.650)
Epoch: [32][7310/14090]	Time 0.748 (0.752)	Data 0.003 (0.002)	Loss 2.3896 (2.2297)	Prec@1 47.656 (44.056)	Prec@5 72.656 (74.651)
Epoch: [32][7320/14090]	Time 0.780 (0.752)	Data 0.001 (0.002)	Loss 2.5581 (2.2298)	Prec@1 38.281 (44.054)	Prec@5 67.969 (74.650)
Epoch: [32][7330/14090]	Time 0.736 (0.752)	Data 0.002 (0.002)	Loss 2.7754 (2.2299)	Prec@1 30.469 (44.052)	Prec@5 63.281 (74.651)
Epoch: [32][7340/14090]	Time 0.763 (0.752)	Data 0.001 (0.002)	Loss 1.8665 (2.2299)	Prec@1 47.656 (44.051)	Prec@5 79.688 (74.649)
Epoch: [32][7350/14090]	Time 0.753 (0.752)	Data 0.001 (0.002)	Loss 2.0935 (2.2299)	Prec@1 44.531 (44.054)	Prec@5 77.344 (74.650)
Epoch: [32][7360/14090]	Time 0.730 (0.752)	Data 0.001 (0.002)	Loss 2.4034 (2.2299)	Prec@1 41.406 (44.052)	Prec@5 67.969 (74.649)
Epoch: [32][7370/14090]	Time 0.752 (0.752)	Data 0.001 (0.002)	Loss 2.2137 (2.2299)	Prec@1 41.406 (44.054)	Prec@5 73.438 (74.650)
Epoch: [32][7380/14090]	Time 0.759 (0.752)	Data 0.001 (0.002)	Loss 2.3172 (2.2300)	Prec@1 40.625 (44.054)	Prec@5 70.312 (74.648)
Epoch: [32][7390/14090]	Time 0.770 (0.752)	Data 0.001 (0.002)	Loss 2.4309 (2.2301)	Prec@1 43.750 (44.054)	Prec@5 67.969 (74.645)
Epoch: [32][7400/14090]	Time 0.755 (0.752)	Data 0.002 (0.002)	Loss 1.9608 (2.2301)	Prec@1 57.031 (44.055)	Prec@5 80.469 (74.648)
Epoch: [32][7410/14090]	Time 0.736 (0.752)	Data 0.001 (0.002)	Loss 2.2979 (2.2300)	Prec@1 38.281 (44.056)	Prec@5 75.000 (74.648)
Epoch: [32][7420/14090]	Time 0.752 (0.752)	Data 0.001 (0.002)	Loss 2.3289 (2.2300)	Prec@1 42.188 (44.057)	Prec@5 71.875 (74.648)
Epoch: [32][7430/14090]	Time 0.741 (0.752)	Data 0.001 (0.002)	Loss 2.1283 (2.2299)	Prec@1 44.531 (44.059)	Prec@5 78.125 (74.650)
Epoch: [32][7440/14090]	Time 0.743 (0.752)	Data 0.001 (0.002)	Loss 2.1453 (2.2299)	Prec@1 46.094 (44.056)	Prec@5 73.438 (74.651)
Epoch: [32][7450/14090]	Time 0.736 (0.752)	Data 0.001 (0.002)	Loss 2.2405 (2.2299)	Prec@1 42.188 (44.054)	Prec@5 71.875 (74.649)
Epoch: [32][7460/14090]	Time 0.753 (0.752)	Data 0.001 (0.002)	Loss 2.1704 (2.2299)	Prec@1 45.312 (44.052)	Prec@5 77.344 (74.649)
Epoch: [32][7470/14090]	Time 0.744 (0.752)	Data 0.004 (0.002)	Loss 2.0322 (2.2299)	Prec@1 42.188 (44.051)	Prec@5 81.250 (74.649)
Epoch: [32][7480/14090]	Time 0.740 (0.752)	Data 0.001 (0.002)	Loss 2.4767 (2.2299)	Prec@1 39.062 (44.051)	Prec@5 70.312 (74.648)
Epoch: [32][7490/14090]	Time 0.740 (0.752)	Data 0.001 (0.002)	Loss 2.5587 (2.2300)	Prec@1 42.969 (44.050)	Prec@5 68.750 (74.647)
Epoch: [32][7500/14090]	Time 0.781 (0.752)	Data 0.001 (0.002)	Loss 2.1281 (2.2301)	Prec@1 39.844 (44.047)	Prec@5 81.250 (74.648)
Epoch: [32][7510/14090]	Time 0.756 (0.752)	Data 0.001 (0.002)	Loss 2.6357 (2.2301)	Prec@1 34.375 (44.046)	Prec@5 68.750 (74.648)
Epoch: [32][7520/14090]	Time 0.732 (0.752)	Data 0.001 (0.002)	Loss 2.6073 (2.2302)	Prec@1 36.719 (44.043)	Prec@5 67.969 (74.647)
Epoch: [32][7530/14090]	Time 0.760 (0.752)	Data 0.001 (0.002)	Loss 2.4955 (2.2302)	Prec@1 39.844 (44.043)	Prec@5 71.094 (74.647)
Epoch: [32][7540/14090]	Time 0.773 (0.752)	Data 0.002 (0.002)	Loss 1.9887 (2.2301)	Prec@1 52.344 (44.045)	Prec@5 75.781 (74.648)
Epoch: [32][7550/14090]	Time 0.746 (0.752)	Data 0.001 (0.002)	Loss 2.3136 (2.2301)	Prec@1 42.188 (44.045)	Prec@5 75.781 (74.649)
Epoch: [32][7560/14090]	Time 0.737 (0.752)	Data 0.001 (0.002)	Loss 2.3511 (2.2301)	Prec@1 45.312 (44.046)	Prec@5 71.875 (74.649)
Epoch: [32][7570/14090]	Time 0.737 (0.752)	Data 0.001 (0.002)	Loss 2.4337 (2.2302)	Prec@1 42.969 (44.043)	Prec@5 68.750 (74.646)
Epoch: [32][7580/14090]	Time 0.750 (0.752)	Data 0.001 (0.002)	Loss 2.1797 (2.2301)	Prec@1 46.875 (44.044)	Prec@5 76.562 (74.646)
Epoch: [32][7590/14090]	Time 0.785 (0.752)	Data 0.001 (0.002)	Loss 2.1230 (2.2302)	Prec@1 46.094 (44.045)	Prec@5 71.875 (74.646)
Epoch: [32][7600/14090]	Time 0.746 (0.752)	Data 0.001 (0.002)	Loss 2.0831 (2.2302)	Prec@1 48.438 (44.046)	Prec@5 76.562 (74.646)
Epoch: [32][7610/14090]	Time 0.760 (0.752)	Data 0.002 (0.002)	Loss 2.1065 (2.2302)	Prec@1 49.219 (44.046)	Prec@5 77.344 (74.646)
Epoch: [32][7620/14090]	Time 0.726 (0.752)	Data 0.001 (0.002)	Loss 2.0745 (2.2301)	Prec@1 44.531 (44.044)	Prec@5 76.562 (74.647)
Epoch: [32][7630/14090]	Time 0.770 (0.752)	Data 0.001 (0.002)	Loss 2.3548 (2.2303)	Prec@1 41.406 (44.042)	Prec@5 74.219 (74.644)
Epoch: [32][7640/14090]	Time 0.733 (0.752)	Data 0.001 (0.002)	Loss 2.0473 (2.2303)	Prec@1 46.875 (44.039)	Prec@5 80.469 (74.645)
Epoch: [32][7650/14090]	Time 0.726 (0.752)	Data 0.001 (0.002)	Loss 2.0363 (2.2303)	Prec@1 49.219 (44.040)	Prec@5 76.562 (74.644)
Epoch: [32][7660/14090]	Time 0.760 (0.752)	Data 0.001 (0.002)	Loss 2.0469 (2.2302)	Prec@1 47.656 (44.040)	Prec@5 78.125 (74.646)
Epoch: [32][7670/14090]	Time 0.765 (0.752)	Data 0.001 (0.002)	Loss 2.1995 (2.2303)	Prec@1 45.312 (44.037)	Prec@5 74.219 (74.644)
Epoch: [32][7680/14090]	Time 0.756 (0.752)	Data 0.002 (0.002)	Loss 2.2703 (2.2302)	Prec@1 43.750 (44.037)	Prec@5 74.219 (74.645)
Epoch: [32][7690/14090]	Time 0.749 (0.752)	Data 0.001 (0.002)	Loss 2.0270 (2.2302)	Prec@1 46.875 (44.036)	Prec@5 78.125 (74.645)
Epoch: [32][7700/14090]	Time 0.766 (0.752)	Data 0.001 (0.002)	Loss 1.9715 (2.2303)	Prec@1 46.875 (44.034)	Prec@5 82.031 (74.643)
Epoch: [32][7710/14090]	Time 0.742 (0.752)	Data 0.001 (0.002)	Loss 2.1682 (2.2303)	Prec@1 42.188 (44.031)	Prec@5 80.469 (74.643)
Epoch: [32][7720/14090]	Time 0.779 (0.752)	Data 0.001 (0.002)	Loss 2.3269 (2.2302)	Prec@1 40.625 (44.033)	Prec@5 74.219 (74.644)
Epoch: [32][7730/14090]	Time 0.734 (0.752)	Data 0.001 (0.002)	Loss 2.3242 (2.2303)	Prec@1 39.844 (44.033)	Prec@5 72.656 (74.643)
Epoch: [32][7740/14090]	Time 0.751 (0.752)	Data 0.001 (0.002)	Loss 2.0634 (2.2303)	Prec@1 50.000 (44.033)	Prec@5 79.688 (74.642)
Epoch: [32][7750/14090]	Time 0.742 (0.752)	Data 0.003 (0.002)	Loss 2.0724 (2.2304)	Prec@1 50.781 (44.030)	Prec@5 80.469 (74.642)
Epoch: [32][7760/14090]	Time 0.754 (0.752)	Data 0.001 (0.002)	Loss 2.1615 (2.2303)	Prec@1 48.438 (44.030)	Prec@5 80.469 (74.642)
Epoch: [32][7770/14090]	Time 0.754 (0.752)	Data 0.001 (0.002)	Loss 2.0507 (2.2304)	Prec@1 47.656 (44.029)	Prec@5 78.906 (74.642)
Epoch: [32][7780/14090]	Time 0.757 (0.752)	Data 0.001 (0.002)	Loss 2.0773 (2.2304)	Prec@1 45.312 (44.028)	Prec@5 78.125 (74.640)
Epoch: [32][7790/14090]	Time 0.762 (0.752)	Data 0.001 (0.002)	Loss 2.2234 (2.2305)	Prec@1 39.062 (44.024)	Prec@5 73.438 (74.638)
Epoch: [32][7800/14090]	Time 0.733 (0.752)	Data 0.001 (0.002)	Loss 2.1512 (2.2305)	Prec@1 50.781 (44.026)	Prec@5 79.688 (74.642)
Epoch: [32][7810/14090]	Time 0.747 (0.752)	Data 0.001 (0.002)	Loss 2.1450 (2.2305)	Prec@1 45.312 (44.025)	Prec@5 76.562 (74.641)
Epoch: [32][7820/14090]	Time 0.765 (0.752)	Data 0.002 (0.002)	Loss 2.5484 (2.2305)	Prec@1 33.594 (44.024)	Prec@5 66.406 (74.639)
Epoch: [32][7830/14090]	Time 0.747 (0.752)	Data 0.001 (0.002)	Loss 2.1708 (2.2305)	Prec@1 42.969 (44.023)	Prec@5 76.562 (74.639)
Epoch: [32][7840/14090]	Time 0.738 (0.752)	Data 0.001 (0.002)	Loss 2.1567 (2.2305)	Prec@1 42.188 (44.023)	Prec@5 73.438 (74.641)
Epoch: [32][7850/14090]	Time 0.751 (0.752)	Data 0.001 (0.002)	Loss 2.2686 (2.2305)	Prec@1 44.531 (44.022)	Prec@5 65.625 (74.640)
Epoch: [32][7860/14090]	Time 0.757 (0.752)	Data 0.001 (0.002)	Loss 2.3257 (2.2306)	Prec@1 41.406 (44.020)	Prec@5 76.562 (74.637)
Epoch: [32][7870/14090]	Time 0.735 (0.752)	Data 0.001 (0.002)	Loss 2.3654 (2.2306)	Prec@1 40.625 (44.022)	Prec@5 71.875 (74.637)
Epoch: [32][7880/14090]	Time 0.766 (0.752)	Data 0.001 (0.002)	Loss 2.1293 (2.2306)	Prec@1 42.188 (44.020)	Prec@5 81.250 (74.639)
Epoch: [32][7890/14090]	Time 0.749 (0.752)	Data 0.002 (0.002)	Loss 2.2099 (2.2306)	Prec@1 44.531 (44.021)	Prec@5 74.219 (74.638)
Epoch: [32][7900/14090]	Time 0.785 (0.752)	Data 0.001 (0.002)	Loss 2.3046 (2.2305)	Prec@1 41.406 (44.022)	Prec@5 75.781 (74.639)
Epoch: [32][7910/14090]	Time 0.759 (0.752)	Data 0.001 (0.002)	Loss 2.2349 (2.2306)	Prec@1 36.719 (44.024)	Prec@5 75.781 (74.639)
Epoch: [32][7920/14090]	Time 0.730 (0.752)	Data 0.001 (0.002)	Loss 2.2495 (2.2307)	Prec@1 44.531 (44.022)	Prec@5 78.906 (74.636)
Epoch: [32][7930/14090]	Time 0.762 (0.752)	Data 0.001 (0.002)	Loss 2.3223 (2.2307)	Prec@1 42.969 (44.025)	Prec@5 74.219 (74.639)
Epoch: [32][7940/14090]	Time 0.731 (0.752)	Data 0.001 (0.002)	Loss 1.9055 (2.2307)	Prec@1 48.438 (44.022)	Prec@5 79.688 (74.639)
Epoch: [32][7950/14090]	Time 0.757 (0.752)	Data 0.001 (0.002)	Loss 2.1598 (2.2307)	Prec@1 43.750 (44.020)	Prec@5 77.344 (74.640)
Epoch: [32][7960/14090]	Time 0.740 (0.752)	Data 0.002 (0.002)	Loss 2.2932 (2.2307)	Prec@1 42.188 (44.022)	Prec@5 71.094 (74.640)
Epoch: [32][7970/14090]	Time 0.751 (0.752)	Data 0.001 (0.002)	Loss 2.2765 (2.2308)	Prec@1 42.188 (44.020)	Prec@5 70.312 (74.640)
Epoch: [32][7980/14090]	Time 0.756 (0.752)	Data 0.001 (0.002)	Loss 2.4574 (2.2308)	Prec@1 41.406 (44.021)	Prec@5 70.312 (74.640)
Epoch: [32][7990/14090]	Time 0.755 (0.752)	Data 0.001 (0.002)	Loss 2.2362 (2.2308)	Prec@1 42.188 (44.021)	Prec@5 70.312 (74.639)
Epoch: [32][8000/14090]	Time 0.753 (0.752)	Data 0.001 (0.002)	Loss 2.0419 (2.2308)	Prec@1 48.438 (44.021)	Prec@5 81.250 (74.640)
Epoch: [32][8010/14090]	Time 0.736 (0.752)	Data 0.001 (0.002)	Loss 1.9464 (2.2308)	Prec@1 48.438 (44.023)	Prec@5 82.031 (74.641)
Epoch: [32][8020/14090]	Time 0.762 (0.752)	Data 0.001 (0.002)	Loss 2.0770 (2.2308)	Prec@1 44.531 (44.023)	Prec@5 79.688 (74.644)
Epoch: [32][8030/14090]	Time 0.747 (0.752)	Data 0.002 (0.002)	Loss 2.0572 (2.2308)	Prec@1 49.219 (44.024)	Prec@5 76.562 (74.643)
Epoch: [32][8040/14090]	Time 0.740 (0.752)	Data 0.001 (0.002)	Loss 2.6209 (2.2309)	Prec@1 39.844 (44.021)	Prec@5 69.531 (74.641)
Epoch: [32][8050/14090]	Time 0.772 (0.752)	Data 0.001 (0.002)	Loss 2.0728 (2.2310)	Prec@1 51.562 (44.020)	Prec@5 78.906 (74.641)
Epoch: [32][8060/14090]	Time 0.747 (0.752)	Data 0.001 (0.002)	Loss 2.3796 (2.2311)	Prec@1 40.625 (44.019)	Prec@5 71.875 (74.639)
Epoch: [32][8070/14090]	Time 0.734 (0.752)	Data 0.001 (0.002)	Loss 2.2903 (2.2311)	Prec@1 44.531 (44.020)	Prec@5 75.781 (74.641)
Epoch: [32][8080/14090]	Time 0.776 (0.752)	Data 0.001 (0.002)	Loss 2.3748 (2.2311)	Prec@1 41.406 (44.018)	Prec@5 73.438 (74.642)
Epoch: [32][8090/14090]	Time 0.763 (0.752)	Data 0.001 (0.002)	Loss 1.9197 (2.2311)	Prec@1 57.812 (44.020)	Prec@5 78.906 (74.642)
Epoch: [32][8100/14090]	Time 0.755 (0.752)	Data 0.003 (0.002)	Loss 2.5416 (2.2311)	Prec@1 42.188 (44.020)	Prec@5 64.844 (74.642)
Epoch: [32][8110/14090]	Time 0.762 (0.752)	Data 0.001 (0.002)	Loss 2.3339 (2.2311)	Prec@1 44.531 (44.022)	Prec@5 70.312 (74.641)
Epoch: [32][8120/14090]	Time 0.778 (0.752)	Data 0.001 (0.002)	Loss 2.1177 (2.2312)	Prec@1 46.094 (44.021)	Prec@5 80.469 (74.641)
Epoch: [32][8130/14090]	Time 0.762 (0.752)	Data 0.001 (0.002)	Loss 2.1015 (2.2312)	Prec@1 45.312 (44.018)	Prec@5 75.781 (74.641)
Epoch: [32][8140/14090]	Time 0.728 (0.752)	Data 0.001 (0.002)	Loss 2.3034 (2.2311)	Prec@1 40.625 (44.021)	Prec@5 72.656 (74.643)
Epoch: [32][8150/14090]	Time 0.770 (0.752)	Data 0.001 (0.002)	Loss 2.2716 (2.2311)	Prec@1 42.188 (44.022)	Prec@5 69.531 (74.640)
Epoch: [32][8160/14090]	Time 0.746 (0.752)	Data 0.001 (0.002)	Loss 2.2284 (2.2312)	Prec@1 49.219 (44.020)	Prec@5 71.094 (74.638)
Epoch: [32][8170/14090]	Time 0.760 (0.752)	Data 0.002 (0.002)	Loss 2.2448 (2.2311)	Prec@1 43.750 (44.021)	Prec@5 73.438 (74.638)
Epoch: [32][8180/14090]	Time 0.746 (0.752)	Data 0.001 (0.002)	Loss 2.1489 (2.2311)	Prec@1 46.094 (44.021)	Prec@5 75.000 (74.638)
Epoch: [32][8190/14090]	Time 0.745 (0.752)	Data 0.001 (0.002)	Loss 2.1466 (2.2311)	Prec@1 49.219 (44.024)	Prec@5 71.094 (74.636)
Epoch: [32][8200/14090]	Time 0.747 (0.752)	Data 0.001 (0.002)	Loss 2.2493 (2.2311)	Prec@1 37.500 (44.023)	Prec@5 73.438 (74.637)
Epoch: [32][8210/14090]	Time 0.760 (0.752)	Data 0.001 (0.002)	Loss 2.1160 (2.2312)	Prec@1 48.438 (44.022)	Prec@5 78.125 (74.636)
Epoch: [32][8220/14090]	Time 0.769 (0.752)	Data 0.001 (0.002)	Loss 2.1091 (2.2311)	Prec@1 42.969 (44.023)	Prec@5 75.000 (74.638)
Epoch: [32][8230/14090]	Time 0.757 (0.752)	Data 0.001 (0.002)	Loss 2.2387 (2.2312)	Prec@1 47.656 (44.022)	Prec@5 75.000 (74.635)
Epoch: [32][8240/14090]	Time 0.735 (0.752)	Data 0.002 (0.002)	Loss 2.1770 (2.2312)	Prec@1 44.531 (44.020)	Prec@5 75.000 (74.634)
Epoch: [32][8250/14090]	Time 0.740 (0.752)	Data 0.001 (0.002)	Loss 2.3301 (2.2313)	Prec@1 42.188 (44.018)	Prec@5 70.312 (74.634)
Epoch: [32][8260/14090]	Time 0.757 (0.752)	Data 0.001 (0.002)	Loss 2.4087 (2.2313)	Prec@1 43.750 (44.016)	Prec@5 67.969 (74.631)
Epoch: [32][8270/14090]	Time 0.787 (0.752)	Data 0.001 (0.002)	Loss 2.4352 (2.2313)	Prec@1 45.312 (44.016)	Prec@5 67.969 (74.629)
Epoch: [32][8280/14090]	Time 0.738 (0.752)	Data 0.001 (0.002)	Loss 2.2412 (2.2314)	Prec@1 44.531 (44.016)	Prec@5 72.656 (74.627)
Epoch: [32][8290/14090]	Time 0.737 (0.752)	Data 0.001 (0.002)	Loss 2.2805 (2.2314)	Prec@1 39.844 (44.016)	Prec@5 75.000 (74.627)
Epoch: [32][8300/14090]	Time 0.742 (0.752)	Data 0.001 (0.002)	Loss 2.1624 (2.2313)	Prec@1 45.312 (44.016)	Prec@5 75.781 (74.628)
Epoch: [32][8310/14090]	Time 0.755 (0.752)	Data 0.002 (0.002)	Loss 2.2788 (2.2312)	Prec@1 43.750 (44.019)	Prec@5 75.000 (74.631)
Epoch: [32][8320/14090]	Time 0.751 (0.752)	Data 0.001 (0.002)	Loss 2.0253 (2.2312)	Prec@1 46.094 (44.019)	Prec@5 80.469 (74.631)
Epoch: [32][8330/14090]	Time 0.734 (0.752)	Data 0.001 (0.002)	Loss 2.1262 (2.2313)	Prec@1 45.312 (44.019)	Prec@5 79.688 (74.628)
Epoch: [32][8340/14090]	Time 0.739 (0.752)	Data 0.001 (0.002)	Loss 2.0162 (2.2312)	Prec@1 43.750 (44.021)	Prec@5 82.031 (74.632)
Epoch: [32][8350/14090]	Time 0.793 (0.752)	Data 0.001 (0.002)	Loss 1.9409 (2.2312)	Prec@1 53.906 (44.022)	Prec@5 81.250 (74.632)
Epoch: [32][8360/14090]	Time 0.756 (0.752)	Data 0.001 (0.002)	Loss 2.1272 (2.2311)	Prec@1 44.531 (44.023)	Prec@5 75.000 (74.633)
Epoch: [32][8370/14090]	Time 0.745 (0.752)	Data 0.001 (0.002)	Loss 2.1501 (2.2312)	Prec@1 44.531 (44.023)	Prec@5 74.219 (74.631)
Epoch: [32][8380/14090]	Time 0.740 (0.752)	Data 0.002 (0.002)	Loss 2.0693 (2.2312)	Prec@1 49.219 (44.022)	Prec@5 80.469 (74.634)
Epoch: [32][8390/14090]	Time 0.738 (0.752)	Data 0.001 (0.002)	Loss 2.4509 (2.2312)	Prec@1 42.188 (44.023)	Prec@5 69.531 (74.631)
Epoch: [32][8400/14090]	Time 0.745 (0.752)	Data 0.001 (0.002)	Loss 2.0395 (2.2311)	Prec@1 52.344 (44.025)	Prec@5 78.906 (74.633)
Epoch: [32][8410/14090]	Time 0.751 (0.752)	Data 0.001 (0.002)	Loss 2.3648 (2.2312)	Prec@1 35.938 (44.022)	Prec@5 71.875 (74.631)
Epoch: [32][8420/14090]	Time 0.744 (0.752)	Data 0.001 (0.002)	Loss 2.1930 (2.2312)	Prec@1 44.531 (44.023)	Prec@5 78.125 (74.632)
Epoch: [32][8430/14090]	Time 0.734 (0.752)	Data 0.001 (0.002)	Loss 2.2684 (2.2312)	Prec@1 39.844 (44.022)	Prec@5 73.438 (74.631)
Epoch: [32][8440/14090]	Time 0.723 (0.752)	Data 0.001 (0.002)	Loss 1.9978 (2.2311)	Prec@1 50.781 (44.023)	Prec@5 75.000 (74.632)
Epoch: [32][8450/14090]	Time 0.770 (0.752)	Data 0.002 (0.002)	Loss 2.5415 (2.2312)	Prec@1 41.406 (44.023)	Prec@5 67.188 (74.631)
Epoch: [32][8460/14090]	Time 0.755 (0.752)	Data 0.001 (0.002)	Loss 2.1697 (2.2311)	Prec@1 46.875 (44.024)	Prec@5 75.781 (74.632)
Epoch: [32][8470/14090]	Time 0.772 (0.752)	Data 0.001 (0.002)	Loss 2.1743 (2.2311)	Prec@1 40.625 (44.026)	Prec@5 76.562 (74.631)
Epoch: [32][8480/14090]	Time 0.733 (0.752)	Data 0.001 (0.002)	Loss 2.0900 (2.2311)	Prec@1 49.219 (44.025)	Prec@5 81.250 (74.631)
Epoch: [32][8490/14090]	Time 0.762 (0.752)	Data 0.001 (0.002)	Loss 2.0777 (2.2311)	Prec@1 45.312 (44.025)	Prec@5 77.344 (74.632)
Epoch: [32][8500/14090]	Time 0.763 (0.752)	Data 0.001 (0.002)	Loss 2.2909 (2.2312)	Prec@1 38.281 (44.022)	Prec@5 75.781 (74.632)
Epoch: [32][8510/14090]	Time 0.736 (0.752)	Data 0.001 (0.002)	Loss 2.2604 (2.2313)	Prec@1 50.000 (44.021)	Prec@5 74.219 (74.630)
Epoch: [32][8520/14090]	Time 0.731 (0.752)	Data 0.002 (0.002)	Loss 2.1732 (2.2311)	Prec@1 47.656 (44.024)	Prec@5 73.438 (74.632)
Epoch: [32][8530/14090]	Time 0.753 (0.752)	Data 0.001 (0.002)	Loss 2.1217 (2.2310)	Prec@1 49.219 (44.027)	Prec@5 75.781 (74.635)
Epoch: [32][8540/14090]	Time 0.749 (0.752)	Data 0.001 (0.002)	Loss 2.1350 (2.2310)	Prec@1 47.656 (44.025)	Prec@5 69.531 (74.635)
Epoch: [32][8550/14090]	Time 0.753 (0.752)	Data 0.001 (0.002)	Loss 2.3008 (2.2311)	Prec@1 37.500 (44.024)	Prec@5 71.094 (74.634)
Epoch: [32][8560/14090]	Time 0.746 (0.752)	Data 0.001 (0.002)	Loss 2.2016 (2.2310)	Prec@1 48.438 (44.025)	Prec@5 73.438 (74.634)
Epoch: [32][8570/14090]	Time 0.755 (0.752)	Data 0.001 (0.002)	Loss 2.1857 (2.2310)	Prec@1 41.406 (44.026)	Prec@5 76.562 (74.634)
Epoch: [32][8580/14090]	Time 0.754 (0.752)	Data 0.001 (0.002)	Loss 2.0709 (2.2310)	Prec@1 47.656 (44.025)	Prec@5 75.781 (74.633)
Epoch: [32][8590/14090]	Time 0.761 (0.752)	Data 0.005 (0.002)	Loss 2.2793 (2.2311)	Prec@1 42.969 (44.023)	Prec@5 71.875 (74.632)
Epoch: [32][8600/14090]	Time 0.723 (0.752)	Data 0.001 (0.002)	Loss 2.5144 (2.2310)	Prec@1 38.281 (44.024)	Prec@5 69.531 (74.632)
Epoch: [32][8610/14090]	Time 0.752 (0.752)	Data 0.001 (0.002)	Loss 2.3706 (2.2310)	Prec@1 39.844 (44.023)	Prec@5 71.875 (74.633)
Epoch: [32][8620/14090]	Time 0.746 (0.752)	Data 0.001 (0.002)	Loss 2.2571 (2.2310)	Prec@1 45.312 (44.024)	Prec@5 74.219 (74.633)
Epoch: [32][8630/14090]	Time 0.767 (0.752)	Data 0.001 (0.002)	Loss 2.3840 (2.2310)	Prec@1 43.750 (44.022)	Prec@5 73.438 (74.633)
Epoch: [32][8640/14090]	Time 0.752 (0.752)	Data 0.001 (0.002)	Loss 2.6483 (2.2312)	Prec@1 32.031 (44.021)	Prec@5 64.844 (74.630)
Epoch: [32][8650/14090]	Time 0.758 (0.752)	Data 0.001 (0.002)	Loss 2.3171 (2.2312)	Prec@1 42.969 (44.019)	Prec@5 71.094 (74.629)
Epoch: [32][8660/14090]	Time 0.744 (0.752)	Data 0.002 (0.002)	Loss 2.0922 (2.2312)	Prec@1 50.000 (44.019)	Prec@5 75.781 (74.629)
Epoch: [32][8670/14090]	Time 0.738 (0.752)	Data 0.001 (0.002)	Loss 2.1086 (2.2312)	Prec@1 46.094 (44.019)	Prec@5 78.125 (74.627)
Epoch: [32][8680/14090]	Time 0.734 (0.752)	Data 0.001 (0.002)	Loss 2.1352 (2.2312)	Prec@1 47.656 (44.021)	Prec@5 75.781 (74.627)
Epoch: [32][8690/14090]	Time 0.751 (0.752)	Data 0.001 (0.002)	Loss 2.2222 (2.2311)	Prec@1 51.562 (44.024)	Prec@5 75.781 (74.629)
Epoch: [32][8700/14090]	Time 0.752 (0.752)	Data 0.001 (0.002)	Loss 2.4648 (2.2311)	Prec@1 40.625 (44.022)	Prec@5 69.531 (74.626)
Epoch: [32][8710/14090]	Time 0.735 (0.752)	Data 0.001 (0.002)	Loss 2.2272 (2.2311)	Prec@1 42.188 (44.023)	Prec@5 76.562 (74.627)
Epoch: [32][8720/14090]	Time 0.753 (0.752)	Data 0.001 (0.002)	Loss 2.1391 (2.2311)	Prec@1 42.969 (44.023)	Prec@5 78.125 (74.628)
Epoch: [32][8730/14090]	Time 0.756 (0.752)	Data 0.002 (0.002)	Loss 2.1323 (2.2311)	Prec@1 50.000 (44.024)	Prec@5 73.438 (74.629)
Epoch: [32][8740/14090]	Time 0.760 (0.752)	Data 0.001 (0.002)	Loss 2.2674 (2.2311)	Prec@1 45.312 (44.024)	Prec@5 73.438 (74.628)
Epoch: [32][8750/14090]	Time 0.755 (0.752)	Data 0.002 (0.002)	Loss 2.2681 (2.2311)	Prec@1 41.406 (44.025)	Prec@5 75.781 (74.627)
Epoch: [32][8760/14090]	Time 0.734 (0.752)	Data 0.001 (0.002)	Loss 2.2933 (2.2311)	Prec@1 42.969 (44.025)	Prec@5 74.219 (74.627)
Epoch: [32][8770/14090]	Time 0.777 (0.752)	Data 0.001 (0.002)	Loss 1.9324 (2.2310)	Prec@1 47.656 (44.026)	Prec@5 81.250 (74.629)
Epoch: [32][8780/14090]	Time 0.788 (0.752)	Data 0.001 (0.002)	Loss 2.2106 (2.2310)	Prec@1 42.969 (44.026)	Prec@5 71.875 (74.629)
Epoch: [32][8790/14090]	Time 0.761 (0.752)	Data 0.001 (0.002)	Loss 2.4592 (2.2310)	Prec@1 38.281 (44.025)	Prec@5 71.875 (74.630)
Epoch: [32][8800/14090]	Time 0.756 (0.752)	Data 0.002 (0.002)	Loss 2.2197 (2.2309)	Prec@1 41.406 (44.028)	Prec@5 73.438 (74.631)
Epoch: [32][8810/14090]	Time 0.748 (0.752)	Data 0.001 (0.002)	Loss 2.3348 (2.2309)	Prec@1 41.406 (44.027)	Prec@5 75.000 (74.630)
Epoch: [32][8820/14090]	Time 0.765 (0.752)	Data 0.001 (0.002)	Loss 1.9613 (2.2309)	Prec@1 52.344 (44.028)	Prec@5 80.469 (74.631)
Epoch: [32][8830/14090]	Time 0.775 (0.752)	Data 0.001 (0.002)	Loss 2.4426 (2.2308)	Prec@1 35.156 (44.028)	Prec@5 71.094 (74.631)
Epoch: [32][8840/14090]	Time 0.741 (0.752)	Data 0.001 (0.002)	Loss 2.3938 (2.2308)	Prec@1 39.062 (44.028)	Prec@5 67.969 (74.631)
Epoch: [32][8850/14090]	Time 0.756 (0.752)	Data 0.001 (0.002)	Loss 2.3949 (2.2308)	Prec@1 36.719 (44.028)	Prec@5 72.656 (74.632)
Epoch: [32][8860/14090]	Time 0.754 (0.752)	Data 0.001 (0.002)	Loss 2.3849 (2.2308)	Prec@1 44.531 (44.027)	Prec@5 69.531 (74.630)
Epoch: [32][8870/14090]	Time 0.741 (0.752)	Data 0.002 (0.002)	Loss 2.3707 (2.2308)	Prec@1 41.406 (44.028)	Prec@5 68.750 (74.630)
Epoch: [32][8880/14090]	Time 0.729 (0.752)	Data 0.001 (0.002)	Loss 2.3897 (2.2309)	Prec@1 40.625 (44.027)	Prec@5 73.438 (74.629)
Epoch: [32][8890/14090]	Time 0.751 (0.752)	Data 0.001 (0.002)	Loss 2.2518 (2.2309)	Prec@1 45.312 (44.027)	Prec@5 71.094 (74.628)
Epoch: [32][8900/14090]	Time 0.762 (0.752)	Data 0.001 (0.002)	Loss 2.1665 (2.2308)	Prec@1 44.531 (44.029)	Prec@5 78.125 (74.628)
Epoch: [32][8910/14090]	Time 0.744 (0.752)	Data 0.001 (0.002)	Loss 2.2273 (2.2308)	Prec@1 42.188 (44.028)	Prec@5 74.219 (74.629)
Epoch: [32][8920/14090]	Time 0.730 (0.752)	Data 0.001 (0.002)	Loss 2.2069 (2.2309)	Prec@1 41.406 (44.027)	Prec@5 73.438 (74.629)
Epoch: [32][8930/14090]	Time 0.755 (0.752)	Data 0.001 (0.002)	Loss 2.4728 (2.2308)	Prec@1 34.375 (44.026)	Prec@5 74.219 (74.629)
Epoch: [32][8940/14090]	Time 0.742 (0.752)	Data 0.003 (0.002)	Loss 2.0482 (2.2308)	Prec@1 53.125 (44.028)	Prec@5 80.469 (74.630)
Epoch: [32][8950/14090]	Time 0.741 (0.752)	Data 0.001 (0.002)	Loss 2.5414 (2.2308)	Prec@1 39.062 (44.028)	Prec@5 66.406 (74.628)
Epoch: [32][8960/14090]	Time 0.738 (0.752)	Data 0.001 (0.002)	Loss 2.5218 (2.2309)	Prec@1 39.844 (44.027)	Prec@5 64.844 (74.627)
Epoch: [32][8970/14090]	Time 0.748 (0.752)	Data 0.001 (0.002)	Loss 2.0822 (2.2308)	Prec@1 49.219 (44.029)	Prec@5 80.469 (74.629)
Epoch: [32][8980/14090]	Time 0.759 (0.752)	Data 0.001 (0.002)	Loss 2.4288 (2.2308)	Prec@1 40.625 (44.030)	Prec@5 71.094 (74.628)
Epoch: [32][8990/14090]	Time 0.751 (0.752)	Data 0.001 (0.002)	Loss 2.1729 (2.2308)	Prec@1 43.750 (44.029)	Prec@5 75.781 (74.628)
Epoch: [32][9000/14090]	Time 0.729 (0.752)	Data 0.001 (0.002)	Loss 1.9899 (2.2308)	Prec@1 53.125 (44.033)	Prec@5 80.469 (74.630)
Epoch: [32][9010/14090]	Time 0.758 (0.752)	Data 0.003 (0.002)	Loss 2.1827 (2.2308)	Prec@1 46.875 (44.031)	Prec@5 78.125 (74.630)
Epoch: [32][9020/14090]	Time 0.761 (0.752)	Data 0.001 (0.002)	Loss 2.2180 (2.2308)	Prec@1 45.312 (44.029)	Prec@5 74.219 (74.630)
Epoch: [32][9030/14090]	Time 0.739 (0.752)	Data 0.001 (0.002)	Loss 2.4126 (2.2308)	Prec@1 38.281 (44.031)	Prec@5 73.438 (74.630)
Epoch: [32][9040/14090]	Time 0.769 (0.752)	Data 0.001 (0.002)	Loss 2.1877 (2.2307)	Prec@1 46.875 (44.030)	Prec@5 73.438 (74.631)
Epoch: [32][9050/14090]	Time 0.751 (0.752)	Data 0.001 (0.002)	Loss 2.2224 (2.2307)	Prec@1 45.312 (44.030)	Prec@5 77.344 (74.630)
Epoch: [32][9060/14090]	Time 0.744 (0.752)	Data 0.001 (0.002)	Loss 2.2052 (2.2307)	Prec@1 43.750 (44.030)	Prec@5 76.562 (74.630)
Epoch: [32][9070/14090]	Time 0.768 (0.752)	Data 0.001 (0.002)	Loss 2.3491 (2.2307)	Prec@1 37.500 (44.029)	Prec@5 75.781 (74.630)
Epoch: [32][9080/14090]	Time 0.759 (0.752)	Data 0.002 (0.002)	Loss 2.2058 (2.2307)	Prec@1 46.875 (44.029)	Prec@5 76.562 (74.631)
Epoch: [32][9090/14090]	Time 0.767 (0.752)	Data 0.001 (0.002)	Loss 2.4518 (2.2308)	Prec@1 37.500 (44.028)	Prec@5 71.094 (74.631)
Epoch: [32][9100/14090]	Time 0.741 (0.752)	Data 0.001 (0.002)	Loss 2.4274 (2.2307)	Prec@1 38.281 (44.030)	Prec@5 70.312 (74.633)
Epoch: [32][9110/14090]	Time 0.747 (0.752)	Data 0.001 (0.002)	Loss 1.9994 (2.2307)	Prec@1 54.688 (44.028)	Prec@5 82.031 (74.634)
Epoch: [32][9120/14090]	Time 0.753 (0.752)	Data 0.001 (0.002)	Loss 1.9207 (2.2307)	Prec@1 50.000 (44.031)	Prec@5 81.250 (74.633)
Epoch: [32][9130/14090]	Time 0.743 (0.752)	Data 0.001 (0.002)	Loss 2.4561 (2.2307)	Prec@1 49.219 (44.031)	Prec@5 71.094 (74.633)
Epoch: [32][9140/14090]	Time 0.749 (0.752)	Data 0.001 (0.002)	Loss 2.2765 (2.2307)	Prec@1 41.406 (44.031)	Prec@5 74.219 (74.634)
Epoch: [32][9150/14090]	Time 0.751 (0.752)	Data 0.002 (0.002)	Loss 1.9001 (2.2307)	Prec@1 50.000 (44.031)	Prec@5 85.156 (74.636)
Epoch: [32][9160/14090]	Time 0.751 (0.752)	Data 0.001 (0.002)	Loss 2.3129 (2.2307)	Prec@1 39.062 (44.031)	Prec@5 74.219 (74.637)
Epoch: [32][9170/14090]	Time 0.773 (0.752)	Data 0.001 (0.002)	Loss 2.3951 (2.2307)	Prec@1 48.438 (44.032)	Prec@5 74.219 (74.636)
Epoch: [32][9180/14090]	Time 0.728 (0.752)	Data 0.001 (0.001)	Loss 2.2861 (2.2306)	Prec@1 46.094 (44.035)	Prec@5 71.094 (74.638)
Epoch: [32][9190/14090]	Time 0.777 (0.752)	Data 0.001 (0.001)	Loss 2.3138 (2.2306)	Prec@1 42.969 (44.033)	Prec@5 72.656 (74.639)
Epoch: [32][9200/14090]	Time 0.747 (0.752)	Data 0.001 (0.001)	Loss 2.3565 (2.2306)	Prec@1 42.969 (44.033)	Prec@5 74.219 (74.638)
Epoch: [32][9210/14090]	Time 0.745 (0.752)	Data 0.001 (0.001)	Loss 2.1471 (2.2305)	Prec@1 44.531 (44.035)	Prec@5 75.781 (74.641)
Epoch: [32][9220/14090]	Time 0.746 (0.752)	Data 0.002 (0.001)	Loss 2.0908 (2.2305)	Prec@1 52.344 (44.034)	Prec@5 79.688 (74.641)
Epoch: [32][9230/14090]	Time 0.760 (0.752)	Data 0.001 (0.001)	Loss 1.9910 (2.2305)	Prec@1 55.469 (44.034)	Prec@5 77.344 (74.641)
Epoch: [32][9240/14090]	Time 0.774 (0.752)	Data 0.001 (0.001)	Loss 2.3354 (2.2306)	Prec@1 44.531 (44.033)	Prec@5 73.438 (74.640)
Epoch: [32][9250/14090]	Time 0.753 (0.752)	Data 0.001 (0.001)	Loss 2.1664 (2.2306)	Prec@1 45.312 (44.033)	Prec@5 76.562 (74.641)
Epoch: [32][9260/14090]	Time 0.761 (0.752)	Data 0.001 (0.001)	Loss 2.2611 (2.2306)	Prec@1 39.844 (44.033)	Prec@5 74.219 (74.641)
Epoch: [32][9270/14090]	Time 0.737 (0.752)	Data 0.001 (0.001)	Loss 2.0721 (2.2304)	Prec@1 44.531 (44.035)	Prec@5 77.344 (74.642)
Epoch: [32][9280/14090]	Time 0.743 (0.752)	Data 0.001 (0.001)	Loss 2.2017 (2.2304)	Prec@1 41.406 (44.036)	Prec@5 78.125 (74.644)
Epoch: [32][9290/14090]	Time 0.761 (0.752)	Data 0.002 (0.001)	Loss 2.1289 (2.2303)	Prec@1 50.000 (44.035)	Prec@5 75.781 (74.644)
Epoch: [32][9300/14090]	Time 0.770 (0.752)	Data 0.001 (0.001)	Loss 2.2174 (2.2303)	Prec@1 44.531 (44.034)	Prec@5 75.781 (74.645)
Epoch: [32][9310/14090]	Time 0.746 (0.752)	Data 0.001 (0.001)	Loss 1.9417 (2.2302)	Prec@1 52.344 (44.036)	Prec@5 81.250 (74.646)
Epoch: [32][9320/14090]	Time 0.774 (0.752)	Data 0.001 (0.001)	Loss 2.2855 (2.2302)	Prec@1 46.094 (44.037)	Prec@5 77.344 (74.646)
Epoch: [32][9330/14090]	Time 0.751 (0.752)	Data 0.001 (0.001)	Loss 2.3986 (2.2303)	Prec@1 41.406 (44.035)	Prec@5 67.188 (74.645)
Epoch: [32][9340/14090]	Time 0.748 (0.752)	Data 0.001 (0.001)	Loss 2.2251 (2.2303)	Prec@1 43.750 (44.033)	Prec@5 79.688 (74.646)
Epoch: [32][9350/14090]	Time 0.756 (0.752)	Data 0.001 (0.001)	Loss 2.2507 (2.2303)	Prec@1 44.531 (44.032)	Prec@5 73.438 (74.647)
Epoch: [32][9360/14090]	Time 0.746 (0.752)	Data 0.002 (0.001)	Loss 2.1277 (2.2303)	Prec@1 47.656 (44.031)	Prec@5 75.000 (74.647)
Epoch: [32][9370/14090]	Time 0.763 (0.752)	Data 0.001 (0.001)	Loss 2.1613 (2.2304)	Prec@1 44.531 (44.029)	Prec@5 78.125 (74.645)
Epoch: [32][9380/14090]	Time 0.759 (0.752)	Data 0.001 (0.001)	Loss 2.2173 (2.2304)	Prec@1 42.188 (44.029)	Prec@5 81.250 (74.646)
Epoch: [32][9390/14090]	Time 0.755 (0.752)	Data 0.001 (0.001)	Loss 2.2641 (2.2304)	Prec@1 44.531 (44.028)	Prec@5 75.000 (74.645)
Epoch: [32][9400/14090]	Time 0.761 (0.752)	Data 0.001 (0.001)	Loss 2.1581 (2.2304)	Prec@1 50.000 (44.029)	Prec@5 74.219 (74.646)
Epoch: [32][9410/14090]	Time 0.727 (0.752)	Data 0.001 (0.001)	Loss 2.0700 (2.2304)	Prec@1 47.656 (44.028)	Prec@5 77.344 (74.647)
Epoch: [32][9420/14090]	Time 0.764 (0.752)	Data 0.001 (0.001)	Loss 2.3089 (2.2304)	Prec@1 40.625 (44.029)	Prec@5 74.219 (74.649)
Epoch: [32][9430/14090]	Time 0.756 (0.752)	Data 0.002 (0.001)	Loss 2.0687 (2.2303)	Prec@1 44.531 (44.030)	Prec@5 78.125 (74.650)
Epoch: [32][9440/14090]	Time 0.754 (0.752)	Data 0.001 (0.001)	Loss 2.1808 (2.2303)	Prec@1 46.875 (44.029)	Prec@5 71.094 (74.650)
Epoch: [32][9450/14090]	Time 0.746 (0.752)	Data 0.001 (0.001)	Loss 2.1659 (2.2303)	Prec@1 46.875 (44.029)	Prec@5 79.688 (74.651)
Epoch: [32][9460/14090]	Time 0.734 (0.752)	Data 0.001 (0.001)	Loss 2.2513 (2.2303)	Prec@1 42.188 (44.028)	Prec@5 73.438 (74.650)
Epoch: [32][9470/14090]	Time 0.775 (0.752)	Data 0.001 (0.001)	Loss 2.0943 (2.2303)	Prec@1 44.531 (44.027)	Prec@5 79.688 (74.649)
Epoch: [32][9480/14090]	Time 0.738 (0.752)	Data 0.001 (0.001)	Loss 2.0844 (2.2303)	Prec@1 42.188 (44.026)	Prec@5 75.000 (74.649)
Epoch: [32][9490/14090]	Time 0.785 (0.752)	Data 0.001 (0.001)	Loss 2.2655 (2.2304)	Prec@1 45.312 (44.025)	Prec@5 75.000 (74.648)
Epoch: [32][9500/14090]	Time 0.763 (0.752)	Data 0.002 (0.001)	Loss 2.1806 (2.2304)	Prec@1 47.656 (44.025)	Prec@5 76.562 (74.648)
Epoch: [32][9510/14090]	Time 0.748 (0.752)	Data 0.001 (0.001)	Loss 2.4089 (2.2305)	Prec@1 33.594 (44.023)	Prec@5 68.750 (74.647)
Epoch: [32][9520/14090]	Time 0.749 (0.752)	Data 0.002 (0.001)	Loss 2.1489 (2.2305)	Prec@1 47.656 (44.022)	Prec@5 75.781 (74.646)
Epoch: [32][9530/14090]	Time 0.805 (0.752)	Data 0.002 (0.001)	Loss 2.4481 (2.2305)	Prec@1 42.188 (44.022)	Prec@5 67.969 (74.646)
Epoch: [32][9540/14090]	Time 0.761 (0.752)	Data 0.001 (0.001)	Loss 2.0547 (2.2306)	Prec@1 46.875 (44.021)	Prec@5 75.781 (74.645)
Epoch: [32][9550/14090]	Time 0.773 (0.752)	Data 0.001 (0.001)	Loss 2.4594 (2.2306)	Prec@1 40.625 (44.022)	Prec@5 72.656 (74.645)
Epoch: [32][9560/14090]	Time 0.768 (0.752)	Data 0.001 (0.001)	Loss 2.0620 (2.2306)	Prec@1 48.438 (44.022)	Prec@5 78.906 (74.644)
Epoch: [32][9570/14090]	Time 0.745 (0.752)	Data 0.002 (0.001)	Loss 2.1328 (2.2306)	Prec@1 46.094 (44.020)	Prec@5 78.906 (74.645)
Epoch: [32][9580/14090]	Time 0.749 (0.752)	Data 0.001 (0.001)	Loss 1.9817 (2.2306)	Prec@1 47.656 (44.020)	Prec@5 82.812 (74.644)
Epoch: [32][9590/14090]	Time 0.734 (0.752)	Data 0.001 (0.001)	Loss 2.3432 (2.2306)	Prec@1 46.875 (44.021)	Prec@5 71.875 (74.643)
Epoch: [32][9600/14090]	Time 0.741 (0.752)	Data 0.001 (0.001)	Loss 2.1953 (2.2307)	Prec@1 44.531 (44.019)	Prec@5 75.781 (74.642)
Epoch: [32][9610/14090]	Time 0.778 (0.752)	Data 0.001 (0.001)	Loss 2.2636 (2.2306)	Prec@1 40.625 (44.020)	Prec@5 72.656 (74.644)
Epoch: [32][9620/14090]	Time 0.762 (0.752)	Data 0.001 (0.001)	Loss 2.4368 (2.2306)	Prec@1 38.281 (44.020)	Prec@5 70.312 (74.643)
Epoch: [32][9630/14090]	Time 0.749 (0.752)	Data 0.001 (0.001)	Loss 1.9603 (2.2306)	Prec@1 45.312 (44.022)	Prec@5 79.688 (74.645)
Epoch: [32][9640/14090]	Time 0.761 (0.752)	Data 0.002 (0.001)	Loss 2.3253 (2.2306)	Prec@1 46.094 (44.021)	Prec@5 75.000 (74.645)
Epoch: [32][9650/14090]	Time 0.748 (0.752)	Data 0.001 (0.001)	Loss 2.5365 (2.2306)	Prec@1 37.500 (44.019)	Prec@5 68.750 (74.645)
Epoch: [32][9660/14090]	Time 0.753 (0.752)	Data 0.001 (0.001)	Loss 2.3916 (2.2307)	Prec@1 42.188 (44.016)	Prec@5 71.875 (74.644)
Epoch: [32][9670/14090]	Time 0.747 (0.752)	Data 0.001 (0.001)	Loss 2.0677 (2.2306)	Prec@1 47.656 (44.017)	Prec@5 77.344 (74.647)
Epoch: [32][9680/14090]	Time 0.777 (0.752)	Data 0.001 (0.001)	Loss 2.0464 (2.2305)	Prec@1 41.406 (44.019)	Prec@5 81.250 (74.648)
Epoch: [32][9690/14090]	Time 0.743 (0.752)	Data 0.001 (0.001)	Loss 2.0286 (2.2305)	Prec@1 51.562 (44.019)	Prec@5 79.688 (74.647)
Epoch: [32][9700/14090]	Time 0.747 (0.752)	Data 0.001 (0.001)	Loss 2.1146 (2.2305)	Prec@1 46.875 (44.019)	Prec@5 77.344 (74.646)
Epoch: [32][9710/14090]	Time 0.765 (0.752)	Data 0.002 (0.001)	Loss 2.2169 (2.2306)	Prec@1 43.750 (44.020)	Prec@5 73.438 (74.646)
Epoch: [32][9720/14090]	Time 0.758 (0.752)	Data 0.002 (0.001)	Loss 2.2836 (2.2305)	Prec@1 41.406 (44.020)	Prec@5 75.000 (74.647)
Epoch: [32][9730/14090]	Time 0.761 (0.752)	Data 0.001 (0.001)	Loss 2.4049 (2.2306)	Prec@1 35.938 (44.016)	Prec@5 71.875 (74.646)
Epoch: [32][9740/14090]	Time 0.745 (0.752)	Data 0.001 (0.001)	Loss 2.4159 (2.2305)	Prec@1 41.406 (44.019)	Prec@5 70.312 (74.647)
Epoch: [32][9750/14090]	Time 0.788 (0.752)	Data 0.002 (0.001)	Loss 2.3029 (2.2305)	Prec@1 42.188 (44.019)	Prec@5 73.438 (74.648)
Epoch: [32][9760/14090]	Time 0.776 (0.752)	Data 0.001 (0.001)	Loss 2.0824 (2.2305)	Prec@1 46.094 (44.019)	Prec@5 78.906 (74.649)
Epoch: [32][9770/14090]	Time 0.735 (0.752)	Data 0.001 (0.001)	Loss 2.1476 (2.2304)	Prec@1 44.531 (44.020)	Prec@5 73.438 (74.650)
Epoch: [32][9780/14090]	Time 0.765 (0.752)	Data 0.003 (0.001)	Loss 2.1980 (2.2304)	Prec@1 44.531 (44.020)	Prec@5 75.000 (74.649)
Epoch: [32][9790/14090]	Time 0.757 (0.752)	Data 0.001 (0.001)	Loss 2.1536 (2.2304)	Prec@1 44.531 (44.020)	Prec@5 77.344 (74.650)
Epoch: [32][9800/14090]	Time 0.743 (0.752)	Data 0.001 (0.001)	Loss 1.9309 (2.2305)	Prec@1 46.875 (44.020)	Prec@5 81.250 (74.651)
Epoch: [32][9810/14090]	Time 0.736 (0.752)	Data 0.001 (0.001)	Loss 1.8667 (2.2305)	Prec@1 53.125 (44.019)	Prec@5 86.719 (74.652)
Epoch: [32][9820/14090]	Time 0.756 (0.752)	Data 0.001 (0.001)	Loss 2.0086 (2.2304)	Prec@1 53.125 (44.020)	Prec@5 78.125 (74.652)
Epoch: [32][9830/14090]	Time 0.749 (0.752)	Data 0.001 (0.001)	Loss 2.4251 (2.2305)	Prec@1 40.625 (44.020)	Prec@5 72.656 (74.652)
Epoch: [32][9840/14090]	Time 0.755 (0.752)	Data 0.001 (0.001)	Loss 2.3290 (2.2304)	Prec@1 31.250 (44.020)	Prec@5 72.656 (74.653)
Epoch: [32][9850/14090]	Time 0.769 (0.752)	Data 0.002 (0.001)	Loss 2.3427 (2.2304)	Prec@1 43.750 (44.020)	Prec@5 69.531 (74.652)
Epoch: [32][9860/14090]	Time 0.741 (0.752)	Data 0.001 (0.001)	Loss 2.0922 (2.2304)	Prec@1 49.219 (44.022)	Prec@5 80.469 (74.654)
Epoch: [32][9870/14090]	Time 0.752 (0.752)	Data 0.001 (0.001)	Loss 2.0396 (2.2304)	Prec@1 44.531 (44.021)	Prec@5 78.125 (74.654)
Epoch: [32][9880/14090]	Time 0.749 (0.752)	Data 0.001 (0.001)	Loss 1.9954 (2.2304)	Prec@1 52.344 (44.021)	Prec@5 78.125 (74.654)
Epoch: [32][9890/14090]	Time 0.746 (0.752)	Data 0.001 (0.001)	Loss 2.2191 (2.2304)	Prec@1 42.969 (44.022)	Prec@5 74.219 (74.655)
Epoch: [32][9900/14090]	Time 0.760 (0.752)	Data 0.001 (0.001)	Loss 2.0466 (2.2305)	Prec@1 47.656 (44.020)	Prec@5 79.688 (74.653)
Epoch: [32][9910/14090]	Time 0.754 (0.752)	Data 0.001 (0.001)	Loss 2.5153 (2.2305)	Prec@1 42.969 (44.019)	Prec@5 69.531 (74.652)
Epoch: [32][9920/14090]	Time 0.773 (0.752)	Data 0.002 (0.001)	Loss 2.1625 (2.2306)	Prec@1 41.406 (44.017)	Prec@5 77.344 (74.651)
Epoch: [32][9930/14090]	Time 0.746 (0.752)	Data 0.001 (0.001)	Loss 2.3768 (2.2306)	Prec@1 36.719 (44.015)	Prec@5 74.219 (74.652)
Epoch: [32][9940/14090]	Time 0.776 (0.752)	Data 0.001 (0.001)	Loss 2.4210 (2.2307)	Prec@1 39.844 (44.012)	Prec@5 71.094 (74.651)
Epoch: [32][9950/14090]	Time 0.765 (0.752)	Data 0.001 (0.001)	Loss 2.4993 (2.2306)	Prec@1 38.281 (44.013)	Prec@5 66.406 (74.652)
Epoch: [32][9960/14090]	Time 0.725 (0.752)	Data 0.001 (0.001)	Loss 2.2672 (2.2307)	Prec@1 48.438 (44.013)	Prec@5 76.562 (74.651)
Epoch: [32][9970/14090]	Time 0.741 (0.752)	Data 0.001 (0.001)	Loss 2.3789 (2.2308)	Prec@1 41.406 (44.012)	Prec@5 74.219 (74.650)
Epoch: [32][9980/14090]	Time 0.731 (0.752)	Data 0.001 (0.001)	Loss 2.2967 (2.2307)	Prec@1 45.312 (44.014)	Prec@5 75.000 (74.652)
Epoch: [32][9990/14090]	Time 0.762 (0.752)	Data 0.002 (0.001)	Loss 2.4265 (2.2307)	Prec@1 45.312 (44.015)	Prec@5 69.531 (74.653)
Epoch: [32][10000/14090]	Time 0.742 (0.752)	Data 0.001 (0.001)	Loss 2.2125 (2.2307)	Prec@1 48.438 (44.014)	Prec@5 78.906 (74.652)
Epoch: [32][10010/14090]	Time 0.757 (0.752)	Data 0.001 (0.001)	Loss 2.0234 (2.2307)	Prec@1 47.656 (44.015)	Prec@5 80.469 (74.653)
Epoch: [32][10020/14090]	Time 0.753 (0.752)	Data 0.001 (0.001)	Loss 1.8450 (2.2306)	Prec@1 51.562 (44.016)	Prec@5 82.812 (74.654)
Epoch: [32][10030/14090]	Time 0.769 (0.752)	Data 0.001 (0.001)	Loss 2.1421 (2.2306)	Prec@1 46.875 (44.016)	Prec@5 77.344 (74.654)
Epoch: [32][10040/14090]	Time 0.768 (0.752)	Data 0.001 (0.001)	Loss 2.5235 (2.2307)	Prec@1 34.375 (44.013)	Prec@5 64.844 (74.654)
Epoch: [32][10050/14090]	Time 0.726 (0.752)	Data 0.001 (0.001)	Loss 2.3452 (2.2308)	Prec@1 42.969 (44.013)	Prec@5 75.781 (74.654)
Epoch: [32][10060/14090]	Time 0.767 (0.752)	Data 0.002 (0.001)	Loss 2.1910 (2.2307)	Prec@1 43.750 (44.013)	Prec@5 71.094 (74.656)
Epoch: [32][10070/14090]	Time 0.766 (0.752)	Data 0.001 (0.001)	Loss 2.3009 (2.2307)	Prec@1 42.188 (44.013)	Prec@5 71.094 (74.656)
Epoch: [32][10080/14090]	Time 0.752 (0.752)	Data 0.001 (0.001)	Loss 2.2432 (2.2308)	Prec@1 39.844 (44.011)	Prec@5 73.438 (74.653)
Epoch: [32][10090/14090]	Time 0.732 (0.752)	Data 0.001 (0.001)	Loss 2.2220 (2.2308)	Prec@1 44.531 (44.013)	Prec@5 74.219 (74.654)
Epoch: [32][10100/14090]	Time 0.731 (0.752)	Data 0.001 (0.001)	Loss 2.0104 (2.2308)	Prec@1 48.438 (44.013)	Prec@5 79.688 (74.653)
Epoch: [32][10110/14090]	Time 0.755 (0.752)	Data 0.001 (0.001)	Loss 2.2821 (2.2308)	Prec@1 42.969 (44.013)	Prec@5 78.906 (74.653)
Epoch: [32][10120/14090]	Time 0.736 (0.752)	Data 0.001 (0.001)	Loss 2.1268 (2.2309)	Prec@1 50.000 (44.012)	Prec@5 77.344 (74.650)
Epoch: [32][10130/14090]	Time 0.753 (0.752)	Data 0.002 (0.001)	Loss 2.5008 (2.2310)	Prec@1 43.750 (44.012)	Prec@5 73.438 (74.649)
Epoch: [32][10140/14090]	Time 0.729 (0.752)	Data 0.001 (0.001)	Loss 2.2057 (2.2310)	Prec@1 44.531 (44.013)	Prec@5 72.656 (74.650)
Epoch: [32][10150/14090]	Time 0.745 (0.752)	Data 0.001 (0.001)	Loss 2.4347 (2.2310)	Prec@1 40.625 (44.014)	Prec@5 71.875 (74.650)
Epoch: [32][10160/14090]	Time 0.761 (0.752)	Data 0.001 (0.001)	Loss 2.0324 (2.2310)	Prec@1 46.094 (44.013)	Prec@5 75.000 (74.650)
Epoch: [32][10170/14090]	Time 0.785 (0.752)	Data 0.001 (0.001)	Loss 1.9320 (2.2310)	Prec@1 50.000 (44.013)	Prec@5 78.125 (74.651)
Epoch: [32][10180/14090]	Time 0.752 (0.752)	Data 0.001 (0.001)	Loss 2.0614 (2.2310)	Prec@1 46.094 (44.012)	Prec@5 76.562 (74.650)
Epoch: [32][10190/14090]	Time 0.747 (0.752)	Data 0.001 (0.001)	Loss 2.2304 (2.2311)	Prec@1 46.875 (44.009)	Prec@5 75.000 (74.648)
Epoch: [32][10200/14090]	Time 0.787 (0.752)	Data 0.002 (0.001)	Loss 2.4862 (2.2311)	Prec@1 33.594 (44.008)	Prec@5 70.312 (74.649)
Epoch: [32][10210/14090]	Time 0.734 (0.752)	Data 0.001 (0.001)	Loss 2.2218 (2.2312)	Prec@1 45.312 (44.008)	Prec@5 77.344 (74.648)
Epoch: [32][10220/14090]	Time 0.760 (0.752)	Data 0.001 (0.001)	Loss 2.0668 (2.2312)	Prec@1 50.781 (44.008)	Prec@5 76.562 (74.647)
Epoch: [32][10230/14090]	Time 0.772 (0.752)	Data 0.001 (0.001)	Loss 2.0931 (2.2312)	Prec@1 42.188 (44.007)	Prec@5 79.688 (74.648)
Epoch: [32][10240/14090]	Time 0.772 (0.752)	Data 0.001 (0.001)	Loss 2.2906 (2.2312)	Prec@1 41.406 (44.008)	Prec@5 68.750 (74.648)
Epoch: [32][10250/14090]	Time 0.761 (0.752)	Data 0.001 (0.001)	Loss 2.2509 (2.2313)	Prec@1 46.875 (44.006)	Prec@5 76.562 (74.646)
Epoch: [32][10260/14090]	Time 0.732 (0.752)	Data 0.001 (0.001)	Loss 2.3802 (2.2313)	Prec@1 42.188 (44.007)	Prec@5 67.188 (74.644)
Epoch: [32][10270/14090]	Time 0.760 (0.752)	Data 0.002 (0.001)	Loss 2.2370 (2.2313)	Prec@1 43.750 (44.006)	Prec@5 74.219 (74.646)
Epoch: [32][10280/14090]	Time 0.729 (0.752)	Data 0.001 (0.001)	Loss 2.1449 (2.2312)	Prec@1 41.406 (44.008)	Prec@5 78.906 (74.647)
Epoch: [32][10290/14090]	Time 0.762 (0.752)	Data 0.001 (0.001)	Loss 2.4891 (2.2312)	Prec@1 40.625 (44.009)	Prec@5 70.312 (74.648)
Epoch: [32][10300/14090]	Time 0.762 (0.752)	Data 0.001 (0.001)	Loss 1.9317 (2.2312)	Prec@1 57.031 (44.009)	Prec@5 78.125 (74.647)
Epoch: [32][10310/14090]	Time 0.729 (0.752)	Data 0.001 (0.001)	Loss 2.3179 (2.2312)	Prec@1 40.625 (44.009)	Prec@5 74.219 (74.648)
Epoch: [32][10320/14090]	Time 0.768 (0.752)	Data 0.001 (0.001)	Loss 2.5223 (2.2312)	Prec@1 38.281 (44.010)	Prec@5 67.969 (74.647)
Epoch: [32][10330/14090]	Time 0.751 (0.752)	Data 0.001 (0.001)	Loss 2.2946 (2.2312)	Prec@1 38.281 (44.011)	Prec@5 74.219 (74.648)
Epoch: [32][10340/14090]	Time 0.765 (0.752)	Data 0.002 (0.001)	Loss 2.0965 (2.2311)	Prec@1 49.219 (44.012)	Prec@5 76.562 (74.648)
Epoch: [32][10350/14090]	Time 0.757 (0.752)	Data 0.001 (0.001)	Loss 2.6275 (2.2312)	Prec@1 32.812 (44.012)	Prec@5 64.844 (74.647)
Epoch: [32][10360/14090]	Time 0.753 (0.752)	Data 0.001 (0.001)	Loss 2.5486 (2.2313)	Prec@1 36.719 (44.012)	Prec@5 75.000 (74.647)
Epoch: [32][10370/14090]	Time 0.767 (0.752)	Data 0.001 (0.001)	Loss 2.3824 (2.2313)	Prec@1 41.406 (44.011)	Prec@5 73.438 (74.647)
Epoch: [32][10380/14090]	Time 0.755 (0.752)	Data 0.001 (0.001)	Loss 2.0192 (2.2312)	Prec@1 54.688 (44.014)	Prec@5 75.000 (74.647)
Epoch: [32][10390/14090]	Time 0.744 (0.752)	Data 0.001 (0.001)	Loss 2.3884 (2.2313)	Prec@1 40.625 (44.014)	Prec@5 72.656 (74.647)
Epoch: [32][10400/14090]	Time 0.758 (0.752)	Data 0.001 (0.001)	Loss 2.2376 (2.2313)	Prec@1 40.625 (44.014)	Prec@5 71.094 (74.646)
Epoch: [32][10410/14090]	Time 0.739 (0.752)	Data 0.002 (0.001)	Loss 2.3992 (2.2313)	Prec@1 42.969 (44.013)	Prec@5 67.969 (74.646)
Epoch: [32][10420/14090]	Time 0.754 (0.752)	Data 0.002 (0.001)	Loss 2.0081 (2.2312)	Prec@1 42.188 (44.013)	Prec@5 79.688 (74.647)
Epoch: [32][10430/14090]	Time 0.753 (0.752)	Data 0.001 (0.001)	Loss 2.0739 (2.2312)	Prec@1 46.875 (44.012)	Prec@5 79.688 (74.648)
Epoch: [32][10440/14090]	Time 0.739 (0.752)	Data 0.001 (0.001)	Loss 2.3578 (2.2313)	Prec@1 41.406 (44.010)	Prec@5 72.656 (74.648)
Epoch: [32][10450/14090]	Time 0.751 (0.752)	Data 0.001 (0.001)	Loss 2.3401 (2.2314)	Prec@1 45.312 (44.010)	Prec@5 72.656 (74.648)
Epoch: [32][10460/14090]	Time 0.737 (0.752)	Data 0.001 (0.001)	Loss 2.2593 (2.2314)	Prec@1 39.062 (44.010)	Prec@5 75.000 (74.649)
Epoch: [32][10470/14090]	Time 0.755 (0.752)	Data 0.001 (0.001)	Loss 2.6225 (2.2314)	Prec@1 38.281 (44.010)	Prec@5 67.969 (74.647)
Epoch: [32][10480/14090]	Time 0.787 (0.752)	Data 0.002 (0.001)	Loss 1.9763 (2.2314)	Prec@1 47.656 (44.008)	Prec@5 82.812 (74.647)
Epoch: [32][10490/14090]	Time 0.756 (0.752)	Data 0.001 (0.001)	Loss 2.2576 (2.2314)	Prec@1 42.188 (44.008)	Prec@5 74.219 (74.647)
Epoch: [32][10500/14090]	Time 0.759 (0.752)	Data 0.001 (0.001)	Loss 2.2754 (2.2314)	Prec@1 42.969 (44.006)	Prec@5 71.875 (74.646)
Epoch: [32][10510/14090]	Time 0.770 (0.752)	Data 0.001 (0.001)	Loss 2.3777 (2.2314)	Prec@1 44.531 (44.006)	Prec@5 71.094 (74.648)
Epoch: [32][10520/14090]	Time 0.741 (0.752)	Data 0.001 (0.001)	Loss 2.1772 (2.2315)	Prec@1 46.875 (44.006)	Prec@5 74.219 (74.646)
Epoch: [32][10530/14090]	Time 0.745 (0.752)	Data 0.003 (0.001)	Loss 2.0833 (2.2315)	Prec@1 41.406 (44.006)	Prec@5 78.125 (74.647)
Epoch: [32][10540/14090]	Time 0.785 (0.752)	Data 0.001 (0.001)	Loss 2.3455 (2.2315)	Prec@1 44.531 (44.005)	Prec@5 71.875 (74.647)
Epoch: [32][10550/14090]	Time 0.754 (0.752)	Data 0.005 (0.001)	Loss 2.0755 (2.2315)	Prec@1 47.656 (44.006)	Prec@5 78.906 (74.648)
Epoch: [32][10560/14090]	Time 0.755 (0.752)	Data 0.001 (0.001)	Loss 2.1279 (2.2315)	Prec@1 42.188 (44.005)	Prec@5 77.344 (74.647)
Epoch: [32][10570/14090]	Time 0.742 (0.752)	Data 0.001 (0.001)	Loss 2.6320 (2.2316)	Prec@1 36.719 (44.004)	Prec@5 72.656 (74.645)
Epoch: [32][10580/14090]	Time 0.768 (0.752)	Data 0.001 (0.001)	Loss 2.2592 (2.2317)	Prec@1 46.875 (44.003)	Prec@5 70.312 (74.642)
Epoch: [32][10590/14090]	Time 0.755 (0.752)	Data 0.001 (0.001)	Loss 2.4631 (2.2317)	Prec@1 41.406 (44.002)	Prec@5 69.531 (74.640)
Epoch: [32][10600/14090]	Time 0.739 (0.752)	Data 0.001 (0.001)	Loss 2.6011 (2.2318)	Prec@1 38.281 (44.001)	Prec@5 71.094 (74.639)
Epoch: [32][10610/14090]	Time 0.743 (0.752)	Data 0.001 (0.001)	Loss 2.2867 (2.2317)	Prec@1 46.094 (44.005)	Prec@5 70.312 (74.640)
Epoch: [32][10620/14090]	Time 0.753 (0.752)	Data 0.002 (0.001)	Loss 2.2108 (2.2317)	Prec@1 41.406 (44.004)	Prec@5 73.438 (74.640)
Epoch: [32][10630/14090]	Time 0.768 (0.752)	Data 0.001 (0.001)	Loss 2.2640 (2.2317)	Prec@1 51.562 (44.007)	Prec@5 75.781 (74.640)
Epoch: [32][10640/14090]	Time 0.770 (0.752)	Data 0.001 (0.001)	Loss 2.2761 (2.2317)	Prec@1 48.438 (44.008)	Prec@5 73.438 (74.639)
Epoch: [32][10650/14090]	Time 0.742 (0.752)	Data 0.001 (0.001)	Loss 2.0596 (2.2316)	Prec@1 50.000 (44.010)	Prec@5 75.000 (74.640)
Epoch: [32][10660/14090]	Time 0.752 (0.752)	Data 0.001 (0.001)	Loss 2.1505 (2.2316)	Prec@1 47.656 (44.011)	Prec@5 74.219 (74.639)
Epoch: [32][10670/14090]	Time 0.723 (0.752)	Data 0.001 (0.001)	Loss 2.2799 (2.2316)	Prec@1 46.875 (44.012)	Prec@5 71.875 (74.638)
Epoch: [32][10680/14090]	Time 0.750 (0.752)	Data 0.001 (0.001)	Loss 2.2918 (2.2315)	Prec@1 41.406 (44.014)	Prec@5 75.781 (74.640)
Epoch: [32][10690/14090]	Time 0.744 (0.752)	Data 0.002 (0.001)	Loss 2.2064 (2.2315)	Prec@1 46.094 (44.015)	Prec@5 75.000 (74.641)
Epoch: [32][10700/14090]	Time 0.755 (0.752)	Data 0.001 (0.001)	Loss 1.9061 (2.2314)	Prec@1 50.781 (44.017)	Prec@5 84.375 (74.643)
Epoch: [32][10710/14090]	Time 0.735 (0.752)	Data 0.001 (0.001)	Loss 2.1367 (2.2315)	Prec@1 44.531 (44.016)	Prec@5 74.219 (74.643)
Epoch: [32][10720/14090]	Time 0.755 (0.752)	Data 0.001 (0.001)	Loss 2.0903 (2.2315)	Prec@1 44.531 (44.017)	Prec@5 78.125 (74.642)
Epoch: [32][10730/14090]	Time 0.757 (0.752)	Data 0.001 (0.001)	Loss 2.2706 (2.2315)	Prec@1 39.844 (44.015)	Prec@5 75.000 (74.640)
Epoch: [32][10740/14090]	Time 0.749 (0.752)	Data 0.001 (0.001)	Loss 2.2853 (2.2315)	Prec@1 42.969 (44.017)	Prec@5 74.219 (74.640)
Epoch: [32][10750/14090]	Time 0.772 (0.752)	Data 0.001 (0.001)	Loss 2.5259 (2.2316)	Prec@1 35.938 (44.016)	Prec@5 71.094 (74.639)
Epoch: [32][10760/14090]	Time 0.753 (0.752)	Data 0.002 (0.001)	Loss 2.4980 (2.2316)	Prec@1 32.812 (44.015)	Prec@5 72.656 (74.641)
Epoch: [32][10770/14090]	Time 0.764 (0.752)	Data 0.001 (0.001)	Loss 2.3031 (2.2315)	Prec@1 42.188 (44.016)	Prec@5 72.656 (74.640)
Epoch: [32][10780/14090]	Time 0.780 (0.752)	Data 0.001 (0.001)	Loss 2.2256 (2.2315)	Prec@1 40.625 (44.018)	Prec@5 75.781 (74.641)
Epoch: [32][10790/14090]	Time 0.771 (0.752)	Data 0.001 (0.001)	Loss 2.1055 (2.2315)	Prec@1 50.000 (44.017)	Prec@5 73.438 (74.640)
Epoch: [32][10800/14090]	Time 0.747 (0.752)	Data 0.001 (0.001)	Loss 2.0935 (2.2314)	Prec@1 48.438 (44.019)	Prec@5 75.781 (74.642)
Epoch: [32][10810/14090]	Time 0.736 (0.752)	Data 0.001 (0.001)	Loss 2.2344 (2.2313)	Prec@1 46.094 (44.021)	Prec@5 71.094 (74.642)
Epoch: [32][10820/14090]	Time 0.780 (0.752)	Data 0.001 (0.001)	Loss 2.3836 (2.2313)	Prec@1 30.469 (44.021)	Prec@5 71.094 (74.644)
Epoch: [32][10830/14090]	Time 0.766 (0.752)	Data 0.002 (0.001)	Loss 2.3426 (2.2314)	Prec@1 43.750 (44.021)	Prec@5 75.781 (74.643)
Epoch: [32][10840/14090]	Time 0.758 (0.752)	Data 0.001 (0.001)	Loss 2.0606 (2.2314)	Prec@1 41.406 (44.019)	Prec@5 79.688 (74.641)
Epoch: [32][10850/14090]	Time 0.733 (0.752)	Data 0.001 (0.001)	Loss 2.2608 (2.2315)	Prec@1 37.500 (44.018)	Prec@5 75.781 (74.642)
Epoch: [32][10860/14090]	Time 0.734 (0.752)	Data 0.001 (0.001)	Loss 2.0630 (2.2314)	Prec@1 43.750 (44.018)	Prec@5 77.344 (74.642)
Epoch: [32][10870/14090]	Time 0.760 (0.752)	Data 0.001 (0.001)	Loss 2.4554 (2.2314)	Prec@1 44.531 (44.020)	Prec@5 73.438 (74.642)
Epoch: [32][10880/14090]	Time 0.753 (0.752)	Data 0.001 (0.001)	Loss 2.2568 (2.2315)	Prec@1 44.531 (44.020)	Prec@5 76.562 (74.642)
Epoch: [32][10890/14090]	Time 0.750 (0.752)	Data 0.001 (0.001)	Loss 2.0292 (2.2314)	Prec@1 50.781 (44.023)	Prec@5 78.906 (74.643)
Epoch: [32][10900/14090]	Time 0.748 (0.752)	Data 0.002 (0.001)	Loss 2.2688 (2.2314)	Prec@1 43.750 (44.022)	Prec@5 73.438 (74.641)
Epoch: [32][10910/14090]	Time 0.751 (0.752)	Data 0.001 (0.001)	Loss 2.3598 (2.2314)	Prec@1 40.625 (44.022)	Prec@5 74.219 (74.642)
Epoch: [32][10920/14090]	Time 0.727 (0.752)	Data 0.001 (0.001)	Loss 1.8784 (2.2313)	Prec@1 48.438 (44.023)	Prec@5 77.344 (74.642)
Epoch: [32][10930/14090]	Time 0.768 (0.752)	Data 0.001 (0.001)	Loss 1.7968 (2.2314)	Prec@1 51.562 (44.023)	Prec@5 78.906 (74.641)
Epoch: [32][10940/14090]	Time 0.776 (0.752)	Data 0.001 (0.001)	Loss 2.0586 (2.2313)	Prec@1 47.656 (44.024)	Prec@5 81.250 (74.643)
Epoch: [32][10950/14090]	Time 0.751 (0.752)	Data 0.001 (0.001)	Loss 2.2006 (2.2313)	Prec@1 46.094 (44.026)	Prec@5 70.312 (74.642)
Epoch: [32][10960/14090]	Time 0.786 (0.752)	Data 0.001 (0.001)	Loss 2.4883 (2.2313)	Prec@1 38.281 (44.026)	Prec@5 67.969 (74.641)
Epoch: [32][10970/14090]	Time 0.755 (0.752)	Data 0.002 (0.001)	Loss 2.0679 (2.2312)	Prec@1 39.062 (44.027)	Prec@5 77.344 (74.642)
Epoch: [32][10980/14090]	Time 0.746 (0.752)	Data 0.001 (0.001)	Loss 2.2765 (2.2312)	Prec@1 47.656 (44.028)	Prec@5 74.219 (74.644)
Epoch: [32][10990/14090]	Time 0.722 (0.752)	Data 0.001 (0.001)	Loss 2.1223 (2.2312)	Prec@1 49.219 (44.029)	Prec@5 78.125 (74.644)
Epoch: [32][11000/14090]	Time 0.734 (0.752)	Data 0.001 (0.001)	Loss 1.9552 (2.2310)	Prec@1 55.469 (44.031)	Prec@5 75.000 (74.647)
Epoch: [32][11010/14090]	Time 0.755 (0.752)	Data 0.001 (0.001)	Loss 2.0864 (2.2310)	Prec@1 50.000 (44.031)	Prec@5 75.781 (74.648)
Epoch: [32][11020/14090]	Time 0.735 (0.752)	Data 0.001 (0.001)	Loss 2.3803 (2.2311)	Prec@1 42.188 (44.030)	Prec@5 71.875 (74.645)
Epoch: [32][11030/14090]	Time 0.750 (0.752)	Data 0.001 (0.001)	Loss 2.3612 (2.2310)	Prec@1 42.969 (44.032)	Prec@5 69.531 (74.645)
Epoch: [32][11040/14090]	Time 0.787 (0.752)	Data 0.002 (0.001)	Loss 2.3715 (2.2311)	Prec@1 40.625 (44.030)	Prec@5 67.969 (74.642)
Epoch: [32][11050/14090]	Time 0.768 (0.752)	Data 0.001 (0.001)	Loss 2.3484 (2.2311)	Prec@1 35.938 (44.031)	Prec@5 78.125 (74.643)
Epoch: [32][11060/14090]	Time 0.757 (0.752)	Data 0.001 (0.001)	Loss 2.5674 (2.2311)	Prec@1 41.406 (44.030)	Prec@5 64.062 (74.642)
Epoch: [32][11070/14090]	Time 0.755 (0.752)	Data 0.001 (0.001)	Loss 2.1175 (2.2311)	Prec@1 43.750 (44.030)	Prec@5 78.906 (74.641)
Epoch: [32][11080/14090]	Time 0.764 (0.752)	Data 0.001 (0.001)	Loss 2.0750 (2.2312)	Prec@1 50.781 (44.029)	Prec@5 79.688 (74.642)
Epoch: [32][11090/14090]	Time 0.754 (0.752)	Data 0.001 (0.001)	Loss 2.3839 (2.2312)	Prec@1 39.062 (44.026)	Prec@5 71.875 (74.641)
Epoch: [32][11100/14090]	Time 0.748 (0.752)	Data 0.001 (0.001)	Loss 2.0191 (2.2311)	Prec@1 50.000 (44.025)	Prec@5 79.688 (74.643)
Epoch: [32][11110/14090]	Time 0.772 (0.752)	Data 0.002 (0.001)	Loss 2.2593 (2.2311)	Prec@1 40.625 (44.026)	Prec@5 72.656 (74.641)
Epoch: [32][11120/14090]	Time 0.748 (0.752)	Data 0.001 (0.001)	Loss 1.9889 (2.2311)	Prec@1 48.438 (44.024)	Prec@5 82.031 (74.642)
Epoch: [32][11130/14090]	Time 0.751 (0.752)	Data 0.001 (0.001)	Loss 1.8818 (2.2310)	Prec@1 55.469 (44.026)	Prec@5 79.688 (74.643)
Epoch: [32][11140/14090]	Time 0.765 (0.752)	Data 0.001 (0.001)	Loss 2.3481 (2.2310)	Prec@1 42.188 (44.026)	Prec@5 71.875 (74.644)
Epoch: [32][11150/14090]	Time 0.734 (0.752)	Data 0.001 (0.001)	Loss 2.0611 (2.2310)	Prec@1 42.188 (44.025)	Prec@5 78.906 (74.644)
Epoch: [32][11160/14090]	Time 0.748 (0.752)	Data 0.001 (0.001)	Loss 1.8662 (2.2309)	Prec@1 46.875 (44.028)	Prec@5 83.594 (74.646)
Epoch: [32][11170/14090]	Time 0.739 (0.752)	Data 0.002 (0.001)	Loss 1.9254 (2.2309)	Prec@1 55.469 (44.029)	Prec@5 76.562 (74.645)
Epoch: [32][11180/14090]	Time 0.758 (0.752)	Data 0.002 (0.001)	Loss 1.8083 (2.2309)	Prec@1 55.469 (44.031)	Prec@5 85.156 (74.647)
Epoch: [32][11190/14090]	Time 0.764 (0.752)	Data 0.001 (0.001)	Loss 2.1614 (2.2309)	Prec@1 50.000 (44.030)	Prec@5 77.344 (74.647)
Epoch: [32][11200/14090]	Time 0.756 (0.752)	Data 0.001 (0.001)	Loss 2.1677 (2.2310)	Prec@1 42.969 (44.029)	Prec@5 78.125 (74.646)
Epoch: [32][11210/14090]	Time 0.765 (0.752)	Data 0.001 (0.001)	Loss 2.0184 (2.2309)	Prec@1 50.781 (44.029)	Prec@5 75.781 (74.647)
Epoch: [32][11220/14090]	Time 0.749 (0.752)	Data 0.001 (0.001)	Loss 2.1177 (2.2309)	Prec@1 48.438 (44.029)	Prec@5 78.125 (74.648)
Epoch: [32][11230/14090]	Time 0.745 (0.752)	Data 0.001 (0.001)	Loss 2.2548 (2.2309)	Prec@1 48.438 (44.029)	Prec@5 75.781 (74.648)
Epoch: [32][11240/14090]	Time 0.748 (0.752)	Data 0.001 (0.001)	Loss 2.1724 (2.2309)	Prec@1 46.094 (44.030)	Prec@5 75.000 (74.646)
Epoch: [32][11250/14090]	Time 0.756 (0.752)	Data 0.003 (0.001)	Loss 1.9289 (2.2309)	Prec@1 49.219 (44.029)	Prec@5 78.125 (74.647)
Epoch: [32][11260/14090]	Time 0.761 (0.752)	Data 0.001 (0.001)	Loss 2.3169 (2.2309)	Prec@1 39.062 (44.028)	Prec@5 74.219 (74.645)
Epoch: [32][11270/14090]	Time 0.756 (0.752)	Data 0.001 (0.001)	Loss 2.5533 (2.2310)	Prec@1 42.969 (44.029)	Prec@5 67.969 (74.644)
Epoch: [32][11280/14090]	Time 0.762 (0.752)	Data 0.001 (0.001)	Loss 2.1532 (2.2309)	Prec@1 44.531 (44.031)	Prec@5 77.344 (74.646)
Epoch: [32][11290/14090]	Time 0.741 (0.752)	Data 0.001 (0.001)	Loss 2.6801 (2.2310)	Prec@1 31.250 (44.029)	Prec@5 67.188 (74.644)
Epoch: [32][11300/14090]	Time 0.741 (0.752)	Data 0.001 (0.001)	Loss 2.3539 (2.2311)	Prec@1 39.844 (44.028)	Prec@5 75.000 (74.645)
Epoch: [32][11310/14090]	Time 0.769 (0.752)	Data 0.001 (0.001)	Loss 1.9757 (2.2311)	Prec@1 46.094 (44.027)	Prec@5 80.469 (74.645)
Epoch: [32][11320/14090]	Time 0.751 (0.752)	Data 0.002 (0.001)	Loss 2.0879 (2.2310)	Prec@1 50.781 (44.029)	Prec@5 78.125 (74.647)
Epoch: [32][11330/14090]	Time 0.764 (0.752)	Data 0.001 (0.001)	Loss 2.0868 (2.2310)	Prec@1 48.438 (44.029)	Prec@5 73.438 (74.648)
Epoch: [32][11340/14090]	Time 0.763 (0.752)	Data 0.001 (0.001)	Loss 2.1271 (2.2310)	Prec@1 46.094 (44.029)	Prec@5 78.125 (74.649)
Epoch: [32][11350/14090]	Time 0.743 (0.752)	Data 0.001 (0.001)	Loss 2.1720 (2.2311)	Prec@1 44.531 (44.029)	Prec@5 77.344 (74.648)
Epoch: [32][11360/14090]	Time 0.763 (0.752)	Data 0.001 (0.001)	Loss 2.4055 (2.2310)	Prec@1 44.531 (44.030)	Prec@5 73.438 (74.649)
Epoch: [32][11370/14090]	Time 0.752 (0.752)	Data 0.001 (0.001)	Loss 2.3047 (2.2310)	Prec@1 37.500 (44.028)	Prec@5 68.750 (74.647)
Epoch: [32][11380/14090]	Time 0.750 (0.752)	Data 0.001 (0.001)	Loss 2.3215 (2.2311)	Prec@1 46.875 (44.027)	Prec@5 67.969 (74.646)
Epoch: [32][11390/14090]	Time 0.734 (0.752)	Data 0.003 (0.001)	Loss 2.1196 (2.2311)	Prec@1 46.094 (44.027)	Prec@5 75.781 (74.647)
Epoch: [32][11400/14090]	Time 0.727 (0.752)	Data 0.001 (0.001)	Loss 2.1707 (2.2311)	Prec@1 43.750 (44.025)	Prec@5 76.562 (74.645)
Epoch: [32][11410/14090]	Time 0.755 (0.752)	Data 0.001 (0.001)	Loss 2.1438 (2.2311)	Prec@1 42.188 (44.024)	Prec@5 81.250 (74.646)
Epoch: [32][11420/14090]	Time 0.738 (0.752)	Data 0.001 (0.001)	Loss 1.9543 (2.2311)	Prec@1 46.094 (44.025)	Prec@5 79.688 (74.647)
Epoch: [32][11430/14090]	Time 0.742 (0.752)	Data 0.001 (0.001)	Loss 2.3033 (2.2312)	Prec@1 43.750 (44.023)	Prec@5 75.000 (74.646)
Epoch: [32][11440/14090]	Time 0.757 (0.752)	Data 0.001 (0.001)	Loss 1.9555 (2.2312)	Prec@1 52.344 (44.025)	Prec@5 82.031 (74.647)
Epoch: [32][11450/14090]	Time 0.746 (0.752)	Data 0.001 (0.001)	Loss 2.1421 (2.2311)	Prec@1 48.438 (44.028)	Prec@5 75.000 (74.648)
Epoch: [32][11460/14090]	Time 0.779 (0.752)	Data 0.002 (0.001)	Loss 2.2590 (2.2310)	Prec@1 42.969 (44.029)	Prec@5 73.438 (74.649)
Epoch: [32][11470/14090]	Time 0.731 (0.752)	Data 0.001 (0.001)	Loss 1.9021 (2.2309)	Prec@1 52.344 (44.029)	Prec@5 76.562 (74.650)
Epoch: [32][11480/14090]	Time 0.730 (0.752)	Data 0.001 (0.001)	Loss 2.3392 (2.2309)	Prec@1 39.844 (44.030)	Prec@5 73.438 (74.651)
Epoch: [32][11490/14090]	Time 0.741 (0.752)	Data 0.001 (0.001)	Loss 2.3691 (2.2309)	Prec@1 43.750 (44.029)	Prec@5 66.406 (74.651)
Epoch: [32][11500/14090]	Time 0.760 (0.752)	Data 0.001 (0.001)	Loss 2.4422 (2.2310)	Prec@1 39.062 (44.028)	Prec@5 72.656 (74.650)
Epoch: [32][11510/14090]	Time 0.752 (0.752)	Data 0.001 (0.001)	Loss 2.1333 (2.2310)	Prec@1 43.750 (44.028)	Prec@5 77.344 (74.649)
Epoch: [32][11520/14090]	Time 0.756 (0.752)	Data 0.001 (0.001)	Loss 2.0329 (2.2309)	Prec@1 47.656 (44.029)	Prec@5 79.688 (74.651)
Epoch: [32][11530/14090]	Time 0.743 (0.752)	Data 0.002 (0.001)	Loss 2.6154 (2.2309)	Prec@1 36.719 (44.028)	Prec@5 69.531 (74.651)
Epoch: [32][11540/14090]	Time 0.744 (0.752)	Data 0.001 (0.001)	Loss 2.3610 (2.2310)	Prec@1 39.844 (44.027)	Prec@5 70.312 (74.650)
Epoch: [32][11550/14090]	Time 0.777 (0.752)	Data 0.001 (0.001)	Loss 2.0741 (2.2309)	Prec@1 48.438 (44.028)	Prec@5 78.906 (74.652)
Epoch: [32][11560/14090]	Time 0.764 (0.752)	Data 0.001 (0.001)	Loss 2.0260 (2.2310)	Prec@1 47.656 (44.028)	Prec@5 81.250 (74.652)
Epoch: [32][11570/14090]	Time 0.771 (0.752)	Data 0.001 (0.001)	Loss 2.4137 (2.2310)	Prec@1 42.188 (44.027)	Prec@5 71.875 (74.650)
Epoch: [32][11580/14090]	Time 0.745 (0.752)	Data 0.001 (0.001)	Loss 2.3695 (2.2311)	Prec@1 42.969 (44.024)	Prec@5 73.438 (74.649)
Epoch: [32][11590/14090]	Time 0.777 (0.752)	Data 0.001 (0.001)	Loss 2.5171 (2.2312)	Prec@1 39.062 (44.024)	Prec@5 67.969 (74.650)
Epoch: [32][11600/14090]	Time 0.763 (0.752)	Data 0.002 (0.001)	Loss 2.4528 (2.2312)	Prec@1 40.625 (44.024)	Prec@5 69.531 (74.648)
Epoch: [32][11610/14090]	Time 0.742 (0.752)	Data 0.001 (0.001)	Loss 1.9836 (2.2312)	Prec@1 50.781 (44.024)	Prec@5 77.344 (74.649)
Epoch: [32][11620/14090]	Time 0.774 (0.752)	Data 0.001 (0.001)	Loss 2.2571 (2.2312)	Prec@1 47.656 (44.023)	Prec@5 77.344 (74.648)
Epoch: [32][11630/14090]	Time 0.750 (0.752)	Data 0.001 (0.001)	Loss 2.3162 (2.2312)	Prec@1 37.500 (44.022)	Prec@5 75.781 (74.649)
Epoch: [32][11640/14090]	Time 0.783 (0.752)	Data 0.001 (0.001)	Loss 2.3744 (2.2312)	Prec@1 36.719 (44.021)	Prec@5 70.312 (74.648)
Epoch: [32][11650/14090]	Time 0.755 (0.752)	Data 0.001 (0.001)	Loss 1.8512 (2.2312)	Prec@1 52.344 (44.021)	Prec@5 81.250 (74.650)
Epoch: [32][11660/14090]	Time 0.760 (0.752)	Data 0.001 (0.001)	Loss 2.0780 (2.2312)	Prec@1 46.094 (44.020)	Prec@5 78.125 (74.648)
Epoch: [32][11670/14090]	Time 0.752 (0.752)	Data 0.002 (0.001)	Loss 1.8160 (2.2312)	Prec@1 47.656 (44.020)	Prec@5 84.375 (74.649)
Epoch: [32][11680/14090]	Time 0.761 (0.752)	Data 0.001 (0.001)	Loss 2.5777 (2.2313)	Prec@1 31.250 (44.019)	Prec@5 69.531 (74.649)
Epoch: [32][11690/14090]	Time 0.729 (0.752)	Data 0.001 (0.001)	Loss 2.0602 (2.2313)	Prec@1 46.875 (44.020)	Prec@5 82.031 (74.650)
Epoch: [32][11700/14090]	Time 0.744 (0.752)	Data 0.001 (0.001)	Loss 1.9266 (2.2313)	Prec@1 51.562 (44.021)	Prec@5 82.812 (74.650)
Epoch: [32][11710/14090]	Time 0.782 (0.752)	Data 0.001 (0.001)	Loss 2.1942 (2.2312)	Prec@1 44.531 (44.022)	Prec@5 75.781 (74.652)
Epoch: [32][11720/14090]	Time 0.743 (0.752)	Data 0.001 (0.001)	Loss 2.3784 (2.2313)	Prec@1 39.844 (44.021)	Prec@5 76.562 (74.652)
Epoch: [32][11730/14090]	Time 0.740 (0.752)	Data 0.001 (0.001)	Loss 2.3056 (2.2312)	Prec@1 40.625 (44.022)	Prec@5 72.656 (74.652)
Epoch: [32][11740/14090]	Time 0.755 (0.752)	Data 0.003 (0.001)	Loss 2.3687 (2.2312)	Prec@1 38.281 (44.022)	Prec@5 75.000 (74.652)
Epoch: [32][11750/14090]	Time 0.795 (0.752)	Data 0.001 (0.001)	Loss 2.4264 (2.2314)	Prec@1 35.938 (44.019)	Prec@5 69.531 (74.648)
Epoch: [32][11760/14090]	Time 0.744 (0.752)	Data 0.001 (0.001)	Loss 2.0854 (2.2313)	Prec@1 49.219 (44.017)	Prec@5 82.031 (74.649)
Epoch: [32][11770/14090]	Time 0.734 (0.752)	Data 0.001 (0.001)	Loss 2.2581 (2.2313)	Prec@1 44.531 (44.018)	Prec@5 73.438 (74.650)
Epoch: [32][11780/14090]	Time 0.755 (0.752)	Data 0.001 (0.001)	Loss 2.1635 (2.2313)	Prec@1 39.062 (44.018)	Prec@5 78.906 (74.651)
Epoch: [32][11790/14090]	Time 0.749 (0.752)	Data 0.001 (0.001)	Loss 1.9742 (2.2313)	Prec@1 50.000 (44.021)	Prec@5 80.469 (74.651)
Epoch: [32][11800/14090]	Time 0.728 (0.752)	Data 0.001 (0.001)	Loss 1.9067 (2.2313)	Prec@1 50.781 (44.020)	Prec@5 79.688 (74.652)
Epoch: [32][11810/14090]	Time 0.727 (0.752)	Data 0.002 (0.001)	Loss 2.1733 (2.2313)	Prec@1 42.969 (44.018)	Prec@5 78.125 (74.651)
Epoch: [32][11820/14090]	Time 0.747 (0.752)	Data 0.001 (0.001)	Loss 2.4045 (2.2314)	Prec@1 37.500 (44.019)	Prec@5 73.438 (74.651)
Epoch: [32][11830/14090]	Time 0.758 (0.752)	Data 0.001 (0.001)	Loss 2.3654 (2.2314)	Prec@1 48.438 (44.019)	Prec@5 77.344 (74.649)
Epoch: [32][11840/14090]	Time 0.769 (0.752)	Data 0.001 (0.001)	Loss 2.1622 (2.2314)	Prec@1 47.656 (44.019)	Prec@5 78.125 (74.649)
Epoch: [32][11850/14090]	Time 0.754 (0.752)	Data 0.001 (0.001)	Loss 2.0723 (2.2314)	Prec@1 46.875 (44.021)	Prec@5 79.688 (74.650)
Epoch: [32][11860/14090]	Time 0.757 (0.752)	Data 0.001 (0.001)	Loss 2.3842 (2.2315)	Prec@1 42.969 (44.019)	Prec@5 70.312 (74.649)
Epoch: [32][11870/14090]	Time 0.783 (0.752)	Data 0.001 (0.001)	Loss 2.4415 (2.2315)	Prec@1 42.969 (44.019)	Prec@5 74.219 (74.650)
Epoch: [32][11880/14090]	Time 0.758 (0.752)	Data 0.002 (0.001)	Loss 2.1213 (2.2315)	Prec@1 46.875 (44.017)	Prec@5 78.125 (74.649)
Epoch: [32][11890/14090]	Time 0.763 (0.752)	Data 0.001 (0.001)	Loss 2.0396 (2.2315)	Prec@1 47.656 (44.018)	Prec@5 80.469 (74.651)
Epoch: [32][11900/14090]	Time 0.763 (0.752)	Data 0.001 (0.001)	Loss 2.2187 (2.2315)	Prec@1 47.656 (44.019)	Prec@5 75.781 (74.650)
Epoch: [32][11910/14090]	Time 0.791 (0.752)	Data 0.001 (0.001)	Loss 2.4220 (2.2315)	Prec@1 40.625 (44.020)	Prec@5 71.094 (74.650)
Epoch: [32][11920/14090]	Time 0.740 (0.752)	Data 0.001 (0.001)	Loss 2.3671 (2.2315)	Prec@1 40.625 (44.019)	Prec@5 70.312 (74.649)
Epoch: [32][11930/14090]	Time 0.755 (0.752)	Data 0.001 (0.001)	Loss 2.2909 (2.2315)	Prec@1 41.406 (44.018)	Prec@5 75.781 (74.649)
Epoch: [32][11940/14090]	Time 0.764 (0.752)	Data 0.001 (0.001)	Loss 2.3538 (2.2315)	Prec@1 43.750 (44.019)	Prec@5 69.531 (74.648)
Epoch: [32][11950/14090]	Time 0.754 (0.752)	Data 0.002 (0.001)	Loss 2.3222 (2.2316)	Prec@1 40.625 (44.018)	Prec@5 73.438 (74.647)
Epoch: [32][11960/14090]	Time 0.733 (0.752)	Data 0.001 (0.001)	Loss 2.4216 (2.2316)	Prec@1 38.281 (44.018)	Prec@5 68.750 (74.647)
Epoch: [32][11970/14090]	Time 0.746 (0.752)	Data 0.001 (0.001)	Loss 2.1873 (2.2316)	Prec@1 42.188 (44.019)	Prec@5 73.438 (74.645)
Epoch: [32][11980/14090]	Time 0.738 (0.752)	Data 0.001 (0.001)	Loss 2.5920 (2.2316)	Prec@1 39.062 (44.018)	Prec@5 69.531 (74.644)
Epoch: [32][11990/14090]	Time 0.728 (0.752)	Data 0.001 (0.001)	Loss 2.1632 (2.2317)	Prec@1 49.219 (44.018)	Prec@5 76.562 (74.643)
Epoch: [32][12000/14090]	Time 0.736 (0.752)	Data 0.001 (0.001)	Loss 2.3522 (2.2316)	Prec@1 43.750 (44.019)	Prec@5 71.875 (74.644)
Epoch: [32][12010/14090]	Time 0.749 (0.752)	Data 0.001 (0.001)	Loss 2.2256 (2.2316)	Prec@1 45.312 (44.018)	Prec@5 68.750 (74.642)
Epoch: [32][12020/14090]	Time 0.736 (0.752)	Data 0.002 (0.001)	Loss 2.1754 (2.2317)	Prec@1 38.281 (44.017)	Prec@5 74.219 (74.642)
Epoch: [32][12030/14090]	Time 0.771 (0.752)	Data 0.001 (0.001)	Loss 2.0205 (2.2317)	Prec@1 50.781 (44.017)	Prec@5 72.656 (74.642)
Epoch: [32][12040/14090]	Time 0.748 (0.752)	Data 0.001 (0.001)	Loss 2.2857 (2.2316)	Prec@1 36.719 (44.017)	Prec@5 72.656 (74.643)
Epoch: [32][12050/14090]	Time 0.761 (0.752)	Data 0.002 (0.001)	Loss 2.0121 (2.2316)	Prec@1 48.438 (44.018)	Prec@5 79.688 (74.643)
Epoch: [32][12060/14090]	Time 0.753 (0.752)	Data 0.001 (0.001)	Loss 2.4289 (2.2316)	Prec@1 42.188 (44.019)	Prec@5 68.750 (74.644)
Epoch: [32][12070/14090]	Time 0.752 (0.752)	Data 0.001 (0.001)	Loss 2.4219 (2.2316)	Prec@1 42.969 (44.017)	Prec@5 71.875 (74.644)
Epoch: [32][12080/14090]	Time 0.785 (0.752)	Data 0.001 (0.001)	Loss 2.5110 (2.2317)	Prec@1 42.969 (44.015)	Prec@5 68.750 (74.643)
Epoch: [32][12090/14090]	Time 0.759 (0.752)	Data 0.002 (0.001)	Loss 2.3778 (2.2317)	Prec@1 45.312 (44.015)	Prec@5 71.875 (74.642)
Epoch: [32][12100/14090]	Time 0.734 (0.752)	Data 0.001 (0.001)	Loss 2.2772 (2.2317)	Prec@1 40.625 (44.014)	Prec@5 75.781 (74.641)
Epoch: [32][12110/14090]	Time 0.736 (0.752)	Data 0.001 (0.001)	Loss 2.1750 (2.2317)	Prec@1 41.406 (44.014)	Prec@5 68.750 (74.641)
Epoch: [32][12120/14090]	Time 0.744 (0.752)	Data 0.001 (0.001)	Loss 2.6156 (2.2318)	Prec@1 36.719 (44.015)	Prec@5 71.875 (74.639)
Epoch: [32][12130/14090]	Time 0.759 (0.752)	Data 0.001 (0.001)	Loss 2.0695 (2.2318)	Prec@1 47.656 (44.013)	Prec@5 71.875 (74.638)
Epoch: [32][12140/14090]	Time 0.779 (0.752)	Data 0.001 (0.001)	Loss 2.4084 (2.2318)	Prec@1 42.969 (44.013)	Prec@5 66.406 (74.637)
Epoch: [32][12150/14090]	Time 0.775 (0.752)	Data 0.001 (0.001)	Loss 2.2266 (2.2319)	Prec@1 47.656 (44.012)	Prec@5 75.781 (74.637)
Epoch: [32][12160/14090]	Time 0.742 (0.752)	Data 0.002 (0.001)	Loss 2.2353 (2.2318)	Prec@1 40.625 (44.013)	Prec@5 73.438 (74.638)
Epoch: [32][12170/14090]	Time 0.759 (0.752)	Data 0.001 (0.001)	Loss 2.3556 (2.2318)	Prec@1 45.312 (44.013)	Prec@5 71.094 (74.637)
Epoch: [32][12180/14090]	Time 0.756 (0.752)	Data 0.001 (0.001)	Loss 2.1658 (2.2318)	Prec@1 46.094 (44.013)	Prec@5 78.906 (74.637)
Epoch: [32][12190/14090]	Time 0.759 (0.752)	Data 0.001 (0.001)	Loss 2.2034 (2.2318)	Prec@1 40.625 (44.013)	Prec@5 71.875 (74.637)
Epoch: [32][12200/14090]	Time 0.740 (0.752)	Data 0.001 (0.001)	Loss 2.1340 (2.2318)	Prec@1 48.438 (44.013)	Prec@5 76.562 (74.637)
Epoch: [32][12210/14090]	Time 0.753 (0.752)	Data 0.001 (0.001)	Loss 1.9041 (2.2318)	Prec@1 50.000 (44.015)	Prec@5 78.125 (74.639)
Epoch: [32][12220/14090]	Time 0.764 (0.752)	Data 0.001 (0.001)	Loss 2.2242 (2.2318)	Prec@1 46.875 (44.013)	Prec@5 73.438 (74.637)
Epoch: [32][12230/14090]	Time 0.769 (0.752)	Data 0.004 (0.001)	Loss 2.2085 (2.2318)	Prec@1 39.062 (44.012)	Prec@5 77.344 (74.639)
Epoch: [32][12240/14090]	Time 0.759 (0.752)	Data 0.001 (0.001)	Loss 2.4843 (2.2318)	Prec@1 36.719 (44.011)	Prec@5 75.781 (74.639)
Epoch: [32][12250/14090]	Time 0.733 (0.752)	Data 0.001 (0.001)	Loss 2.4360 (2.2319)	Prec@1 39.062 (44.010)	Prec@5 72.656 (74.638)
Epoch: [32][12260/14090]	Time 0.744 (0.752)	Data 0.001 (0.001)	Loss 2.4214 (2.2318)	Prec@1 40.625 (44.010)	Prec@5 72.656 (74.639)
Epoch: [32][12270/14090]	Time 0.752 (0.752)	Data 0.001 (0.001)	Loss 2.0999 (2.2318)	Prec@1 47.656 (44.011)	Prec@5 77.344 (74.639)
Epoch: [32][12280/14090]	Time 0.742 (0.752)	Data 0.001 (0.001)	Loss 2.3370 (2.2319)	Prec@1 36.719 (44.008)	Prec@5 71.875 (74.638)
Epoch: [32][12290/14090]	Time 0.755 (0.752)	Data 0.001 (0.001)	Loss 2.1864 (2.2319)	Prec@1 45.312 (44.009)	Prec@5 75.781 (74.639)
Epoch: [32][12300/14090]	Time 0.743 (0.752)	Data 0.002 (0.001)	Loss 2.1896 (2.2319)	Prec@1 44.531 (44.008)	Prec@5 76.562 (74.640)
Epoch: [32][12310/14090]	Time 0.749 (0.752)	Data 0.001 (0.001)	Loss 2.2039 (2.2319)	Prec@1 48.438 (44.010)	Prec@5 75.000 (74.639)
Epoch: [32][12320/14090]	Time 0.753 (0.752)	Data 0.001 (0.001)	Loss 2.4043 (2.2318)	Prec@1 44.531 (44.012)	Prec@5 70.312 (74.641)
Epoch: [32][12330/14090]	Time 0.745 (0.752)	Data 0.001 (0.001)	Loss 2.3929 (2.2318)	Prec@1 43.750 (44.012)	Prec@5 71.094 (74.643)
Epoch: [32][12340/14090]	Time 0.753 (0.752)	Data 0.001 (0.001)	Loss 2.3239 (2.2317)	Prec@1 44.531 (44.013)	Prec@5 71.094 (74.643)
Epoch: [32][12350/14090]	Time 0.765 (0.752)	Data 0.001 (0.001)	Loss 2.2067 (2.2317)	Prec@1 40.625 (44.013)	Prec@5 76.562 (74.643)
Epoch: [32][12360/14090]	Time 0.774 (0.752)	Data 0.001 (0.001)	Loss 2.2430 (2.2316)	Prec@1 43.750 (44.015)	Prec@5 75.781 (74.643)
Epoch: [32][12370/14090]	Time 0.727 (0.752)	Data 0.002 (0.001)	Loss 2.5793 (2.2317)	Prec@1 36.719 (44.014)	Prec@5 75.000 (74.642)
Epoch: [32][12380/14090]	Time 0.774 (0.752)	Data 0.001 (0.001)	Loss 2.5533 (2.2318)	Prec@1 42.188 (44.013)	Prec@5 66.406 (74.642)
Epoch: [32][12390/14090]	Time 0.778 (0.752)	Data 0.001 (0.001)	Loss 2.3295 (2.2318)	Prec@1 42.188 (44.012)	Prec@5 71.094 (74.642)
Epoch: [32][12400/14090]	Time 0.751 (0.752)	Data 0.001 (0.001)	Loss 2.3183 (2.2318)	Prec@1 39.844 (44.012)	Prec@5 75.781 (74.642)
Epoch: [32][12410/14090]	Time 0.734 (0.752)	Data 0.001 (0.001)	Loss 2.2940 (2.2318)	Prec@1 39.844 (44.011)	Prec@5 72.656 (74.642)
Epoch: [32][12420/14090]	Time 0.779 (0.752)	Data 0.001 (0.001)	Loss 1.9710 (2.2319)	Prec@1 47.656 (44.009)	Prec@5 78.125 (74.641)
Epoch: [32][12430/14090]	Time 0.742 (0.752)	Data 0.001 (0.001)	Loss 2.3583 (2.2319)	Prec@1 42.969 (44.008)	Prec@5 71.875 (74.640)
Epoch: [32][12440/14090]	Time 0.756 (0.752)	Data 0.002 (0.001)	Loss 2.2352 (2.2319)	Prec@1 42.188 (44.008)	Prec@5 73.438 (74.640)
Epoch: [32][12450/14090]	Time 0.732 (0.752)	Data 0.001 (0.001)	Loss 2.3390 (2.2319)	Prec@1 47.656 (44.008)	Prec@5 75.000 (74.641)
Epoch: [32][12460/14090]	Time 0.747 (0.752)	Data 0.001 (0.001)	Loss 2.2703 (2.2319)	Prec@1 48.438 (44.008)	Prec@5 76.562 (74.642)
Epoch: [32][12470/14090]	Time 0.742 (0.752)	Data 0.001 (0.001)	Loss 1.9343 (2.2319)	Prec@1 45.312 (44.008)	Prec@5 81.250 (74.642)
Epoch: [32][12480/14090]	Time 0.748 (0.752)	Data 0.001 (0.001)	Loss 2.2266 (2.2320)	Prec@1 42.188 (44.006)	Prec@5 72.656 (74.640)
Epoch: [32][12490/14090]	Time 0.740 (0.752)	Data 0.001 (0.001)	Loss 2.2123 (2.2321)	Prec@1 43.750 (44.004)	Prec@5 74.219 (74.638)
Epoch: [32][12500/14090]	Time 0.763 (0.752)	Data 0.001 (0.001)	Loss 2.0383 (2.2320)	Prec@1 53.125 (44.006)	Prec@5 79.688 (74.640)
Epoch: [32][12510/14090]	Time 0.742 (0.752)	Data 0.002 (0.001)	Loss 2.3452 (2.2321)	Prec@1 45.312 (44.006)	Prec@5 70.312 (74.638)
Epoch: [32][12520/14090]	Time 0.767 (0.752)	Data 0.001 (0.001)	Loss 2.4269 (2.2321)	Prec@1 41.406 (44.005)	Prec@5 74.219 (74.639)
Epoch: [32][12530/14090]	Time 0.761 (0.752)	Data 0.001 (0.001)	Loss 2.1747 (2.2321)	Prec@1 46.875 (44.005)	Prec@5 77.344 (74.639)
Epoch: [32][12540/14090]	Time 0.777 (0.752)	Data 0.001 (0.001)	Loss 2.2750 (2.2321)	Prec@1 43.750 (44.005)	Prec@5 74.219 (74.639)
Epoch: [32][12550/14090]	Time 0.741 (0.752)	Data 0.001 (0.001)	Loss 2.0529 (2.2321)	Prec@1 49.219 (44.003)	Prec@5 77.344 (74.639)
Epoch: [32][12560/14090]	Time 0.788 (0.752)	Data 0.001 (0.001)	Loss 2.3970 (2.2322)	Prec@1 41.406 (44.001)	Prec@5 67.969 (74.636)
Epoch: [32][12570/14090]	Time 0.753 (0.752)	Data 0.001 (0.001)	Loss 2.0716 (2.2322)	Prec@1 42.969 (44.001)	Prec@5 77.344 (74.637)
Epoch: [32][12580/14090]	Time 0.780 (0.752)	Data 0.002 (0.001)	Loss 2.2218 (2.2322)	Prec@1 47.656 (44.001)	Prec@5 74.219 (74.636)
Epoch: [32][12590/14090]	Time 0.740 (0.752)	Data 0.001 (0.001)	Loss 2.1467 (2.2322)	Prec@1 44.531 (44.001)	Prec@5 71.875 (74.636)
Epoch: [32][12600/14090]	Time 0.768 (0.752)	Data 0.001 (0.001)	Loss 1.9964 (2.2322)	Prec@1 53.125 (44.001)	Prec@5 82.031 (74.638)
Epoch: [32][12610/14090]	Time 0.764 (0.752)	Data 0.001 (0.001)	Loss 2.2989 (2.2322)	Prec@1 41.406 (44.002)	Prec@5 72.656 (74.639)
Epoch: [32][12620/14090]	Time 0.784 (0.752)	Data 0.001 (0.001)	Loss 2.5170 (2.2322)	Prec@1 42.188 (44.003)	Prec@5 66.406 (74.638)
Epoch: [32][12630/14090]	Time 0.752 (0.752)	Data 0.001 (0.001)	Loss 2.3118 (2.2322)	Prec@1 44.531 (44.003)	Prec@5 77.344 (74.639)
Epoch: [32][12640/14090]	Time 0.741 (0.752)	Data 0.001 (0.001)	Loss 2.3728 (2.2322)	Prec@1 40.625 (44.002)	Prec@5 71.094 (74.638)
Epoch: [32][12650/14090]	Time 0.744 (0.752)	Data 0.002 (0.001)	Loss 2.4267 (2.2323)	Prec@1 36.719 (44.003)	Prec@5 70.312 (74.637)
Epoch: [32][12660/14090]	Time 0.732 (0.752)	Data 0.001 (0.001)	Loss 2.1348 (2.2323)	Prec@1 41.406 (44.002)	Prec@5 77.344 (74.636)
Epoch: [32][12670/14090]	Time 0.747 (0.752)	Data 0.001 (0.001)	Loss 2.3785 (2.2323)	Prec@1 39.844 (44.001)	Prec@5 75.000 (74.636)
Epoch: [32][12680/14090]	Time 0.756 (0.752)	Data 0.001 (0.001)	Loss 2.3226 (2.2324)	Prec@1 41.406 (44.001)	Prec@5 75.781 (74.636)
Epoch: [32][12690/14090]	Time 0.748 (0.752)	Data 0.001 (0.001)	Loss 2.5435 (2.2324)	Prec@1 42.188 (44.002)	Prec@5 68.750 (74.637)
Epoch: [32][12700/14090]	Time 0.766 (0.752)	Data 0.001 (0.001)	Loss 2.2024 (2.2323)	Prec@1 49.219 (44.003)	Prec@5 74.219 (74.638)
Epoch: [32][12710/14090]	Time 0.753 (0.752)	Data 0.001 (0.001)	Loss 2.4556 (2.2323)	Prec@1 42.969 (44.002)	Prec@5 64.844 (74.638)
Epoch: [32][12720/14090]	Time 0.744 (0.752)	Data 0.003 (0.001)	Loss 2.1307 (2.2324)	Prec@1 42.969 (44.000)	Prec@5 75.781 (74.636)
Epoch: [32][12730/14090]	Time 0.730 (0.752)	Data 0.001 (0.001)	Loss 2.5402 (2.2325)	Prec@1 41.406 (43.999)	Prec@5 70.312 (74.635)
Epoch: [32][12740/14090]	Time 0.774 (0.752)	Data 0.001 (0.001)	Loss 2.4191 (2.2325)	Prec@1 43.750 (44.000)	Prec@5 74.219 (74.635)
Epoch: [32][12750/14090]	Time 0.774 (0.752)	Data 0.001 (0.001)	Loss 2.2434 (2.2325)	Prec@1 49.219 (43.999)	Prec@5 76.562 (74.635)
Epoch: [32][12760/14090]	Time 0.736 (0.752)	Data 0.001 (0.001)	Loss 2.1660 (2.2325)	Prec@1 48.438 (43.999)	Prec@5 78.906 (74.635)
Epoch: [32][12770/14090]	Time 0.756 (0.752)	Data 0.001 (0.001)	Loss 2.4106 (2.2325)	Prec@1 43.750 (43.999)	Prec@5 68.750 (74.635)
Epoch: [32][12780/14090]	Time 0.738 (0.752)	Data 0.001 (0.001)	Loss 2.3272 (2.2326)	Prec@1 39.062 (43.998)	Prec@5 72.656 (74.634)
Epoch: [32][12790/14090]	Time 0.761 (0.752)	Data 0.002 (0.001)	Loss 2.4880 (2.2326)	Prec@1 39.062 (43.996)	Prec@5 72.656 (74.633)
Epoch: [32][12800/14090]	Time 0.767 (0.752)	Data 0.001 (0.001)	Loss 2.1338 (2.2326)	Prec@1 43.750 (43.995)	Prec@5 75.000 (74.632)
Epoch: [32][12810/14090]	Time 0.744 (0.752)	Data 0.001 (0.001)	Loss 2.5326 (2.2327)	Prec@1 35.156 (43.994)	Prec@5 66.406 (74.632)
Epoch: [32][12820/14090]	Time 0.740 (0.752)	Data 0.001 (0.001)	Loss 2.4702 (2.2327)	Prec@1 41.406 (43.994)	Prec@5 71.875 (74.632)
Epoch: [32][12830/14090]	Time 0.748 (0.752)	Data 0.001 (0.001)	Loss 2.2714 (2.2327)	Prec@1 45.312 (43.993)	Prec@5 76.562 (74.632)
Epoch: [32][12840/14090]	Time 0.741 (0.752)	Data 0.001 (0.001)	Loss 2.0462 (2.2327)	Prec@1 52.344 (43.993)	Prec@5 77.344 (74.632)
Epoch: [32][12850/14090]	Time 0.746 (0.752)	Data 0.001 (0.001)	Loss 2.1734 (2.2327)	Prec@1 46.094 (43.994)	Prec@5 77.344 (74.633)
Epoch: [32][12860/14090]	Time 0.738 (0.752)	Data 0.002 (0.001)	Loss 2.5571 (2.2327)	Prec@1 39.062 (43.993)	Prec@5 64.844 (74.632)
Epoch: [32][12870/14090]	Time 0.767 (0.752)	Data 0.001 (0.001)	Loss 1.9469 (2.2327)	Prec@1 50.781 (43.993)	Prec@5 78.125 (74.632)
Epoch: [32][12880/14090]	Time 0.772 (0.752)	Data 0.001 (0.001)	Loss 2.3279 (2.2327)	Prec@1 39.062 (43.993)	Prec@5 73.438 (74.633)
Epoch: [32][12890/14090]	Time 0.748 (0.752)	Data 0.001 (0.001)	Loss 2.3980 (2.2327)	Prec@1 33.594 (43.992)	Prec@5 67.969 (74.632)
Epoch: [32][12900/14090]	Time 0.748 (0.752)	Data 0.001 (0.001)	Loss 2.3094 (2.2327)	Prec@1 39.062 (43.991)	Prec@5 76.562 (74.633)
Epoch: [32][12910/14090]	Time 0.753 (0.752)	Data 0.001 (0.001)	Loss 2.3027 (2.2328)	Prec@1 46.094 (43.991)	Prec@5 73.438 (74.633)
Epoch: [32][12920/14090]	Time 0.755 (0.752)	Data 0.001 (0.001)	Loss 2.2955 (2.2328)	Prec@1 41.406 (43.990)	Prec@5 75.781 (74.633)
Epoch: [32][12930/14090]	Time 0.760 (0.752)	Data 0.002 (0.001)	Loss 2.3836 (2.2328)	Prec@1 39.062 (43.991)	Prec@5 73.438 (74.633)
Epoch: [32][12940/14090]	Time 0.750 (0.752)	Data 0.001 (0.001)	Loss 2.3460 (2.2328)	Prec@1 45.312 (43.991)	Prec@5 71.094 (74.633)
Epoch: [32][12950/14090]	Time 0.753 (0.752)	Data 0.001 (0.001)	Loss 2.2474 (2.2328)	Prec@1 44.531 (43.991)	Prec@5 73.438 (74.633)
Epoch: [32][12960/14090]	Time 0.762 (0.752)	Data 0.001 (0.001)	Loss 2.0522 (2.2328)	Prec@1 46.875 (43.991)	Prec@5 75.781 (74.633)
Epoch: [32][12970/14090]	Time 0.763 (0.752)	Data 0.001 (0.001)	Loss 2.4992 (2.2328)	Prec@1 41.406 (43.991)	Prec@5 65.625 (74.632)
Epoch: [32][12980/14090]	Time 0.734 (0.752)	Data 0.001 (0.001)	Loss 2.2154 (2.2328)	Prec@1 45.312 (43.991)	Prec@5 74.219 (74.631)
Epoch: [32][12990/14090]	Time 0.749 (0.752)	Data 0.001 (0.001)	Loss 2.2132 (2.2328)	Prec@1 45.312 (43.992)	Prec@5 78.125 (74.633)
Epoch: [32][13000/14090]	Time 0.731 (0.752)	Data 0.002 (0.001)	Loss 2.0638 (2.2327)	Prec@1 50.781 (43.996)	Prec@5 76.562 (74.633)
Epoch: [32][13010/14090]	Time 0.767 (0.752)	Data 0.001 (0.001)	Loss 2.3550 (2.2327)	Prec@1 44.531 (43.996)	Prec@5 76.562 (74.634)
Epoch: [32][13020/14090]	Time 0.775 (0.752)	Data 0.001 (0.001)	Loss 2.1892 (2.2327)	Prec@1 45.312 (43.996)	Prec@5 76.562 (74.634)
Epoch: [32][13030/14090]	Time 0.758 (0.752)	Data 0.001 (0.001)	Loss 2.6018 (2.2328)	Prec@1 41.406 (43.996)	Prec@5 66.406 (74.632)
Epoch: [32][13040/14090]	Time 0.737 (0.752)	Data 0.001 (0.001)	Loss 2.2762 (2.2328)	Prec@1 47.656 (43.996)	Prec@5 71.875 (74.632)
Epoch: [32][13050/14090]	Time 0.749 (0.752)	Data 0.001 (0.001)	Loss 2.3256 (2.2327)	Prec@1 43.750 (43.997)	Prec@5 70.312 (74.633)
Epoch: [32][13060/14090]	Time 0.777 (0.752)	Data 0.001 (0.001)	Loss 2.1057 (2.2328)	Prec@1 46.094 (43.996)	Prec@5 74.219 (74.632)
Epoch: [32][13070/14090]	Time 0.734 (0.752)	Data 0.002 (0.001)	Loss 2.0918 (2.2328)	Prec@1 46.094 (43.995)	Prec@5 77.344 (74.630)
Epoch: [32][13080/14090]	Time 0.754 (0.752)	Data 0.001 (0.001)	Loss 2.2547 (2.2328)	Prec@1 45.312 (43.995)	Prec@5 76.562 (74.630)
Epoch: [32][13090/14090]	Time 0.741 (0.752)	Data 0.001 (0.001)	Loss 2.2044 (2.2328)	Prec@1 44.531 (43.996)	Prec@5 75.781 (74.630)
Epoch: [32][13100/14090]	Time 0.753 (0.752)	Data 0.001 (0.001)	Loss 2.4914 (2.2329)	Prec@1 28.906 (43.994)	Prec@5 71.875 (74.629)
Epoch: [32][13110/14090]	Time 0.767 (0.752)	Data 0.001 (0.001)	Loss 2.1533 (2.2328)	Prec@1 45.312 (43.994)	Prec@5 74.219 (74.631)
Epoch: [32][13120/14090]	Time 0.779 (0.752)	Data 0.001 (0.001)	Loss 2.3569 (2.2328)	Prec@1 42.188 (43.993)	Prec@5 72.656 (74.629)
Epoch: [32][13130/14090]	Time 0.740 (0.752)	Data 0.001 (0.001)	Loss 2.2243 (2.2328)	Prec@1 45.312 (43.994)	Prec@5 76.562 (74.631)
Epoch: [32][13140/14090]	Time 0.737 (0.752)	Data 0.002 (0.001)	Loss 2.2415 (2.2327)	Prec@1 43.750 (43.995)	Prec@5 75.000 (74.631)
Epoch: [32][13150/14090]	Time 0.753 (0.752)	Data 0.002 (0.001)	Loss 2.4044 (2.2328)	Prec@1 42.969 (43.995)	Prec@5 71.094 (74.630)
Epoch: [32][13160/14090]	Time 0.736 (0.752)	Data 0.001 (0.001)	Loss 2.0765 (2.2327)	Prec@1 40.625 (43.996)	Prec@5 79.688 (74.632)
Epoch: [32][13170/14090]	Time 0.775 (0.752)	Data 0.001 (0.001)	Loss 2.2723 (2.2327)	Prec@1 45.312 (43.997)	Prec@5 73.438 (74.632)
Epoch: [32][13180/14090]	Time 0.754 (0.752)	Data 0.001 (0.001)	Loss 2.1924 (2.2327)	Prec@1 40.625 (43.996)	Prec@5 77.344 (74.633)
Epoch: [32][13190/14090]	Time 0.737 (0.752)	Data 0.001 (0.001)	Loss 2.1454 (2.2327)	Prec@1 43.750 (43.998)	Prec@5 74.219 (74.634)
Epoch: [32][13200/14090]	Time 0.804 (0.752)	Data 0.001 (0.001)	Loss 2.2755 (2.2327)	Prec@1 40.625 (43.997)	Prec@5 75.000 (74.634)
Epoch: [32][13210/14090]	Time 0.757 (0.752)	Data 0.002 (0.001)	Loss 2.4852 (2.2327)	Prec@1 39.844 (43.997)	Prec@5 67.188 (74.634)
Epoch: [32][13220/14090]	Time 0.741 (0.752)	Data 0.001 (0.001)	Loss 2.2940 (2.2328)	Prec@1 44.531 (43.998)	Prec@5 68.750 (74.633)
Epoch: [32][13230/14090]	Time 0.729 (0.752)	Data 0.001 (0.001)	Loss 2.2353 (2.2327)	Prec@1 45.312 (43.999)	Prec@5 74.219 (74.634)
Epoch: [32][13240/14090]	Time 0.753 (0.752)	Data 0.001 (0.001)	Loss 1.9654 (2.2327)	Prec@1 53.906 (43.998)	Prec@5 78.125 (74.632)
Epoch: [32][13250/14090]	Time 0.742 (0.752)	Data 0.001 (0.001)	Loss 2.1677 (2.2327)	Prec@1 42.969 (43.998)	Prec@5 75.000 (74.633)
Epoch: [32][13260/14090]	Time 0.726 (0.752)	Data 0.001 (0.001)	Loss 2.3602 (2.2327)	Prec@1 39.062 (43.998)	Prec@5 74.219 (74.633)
Epoch: [32][13270/14090]	Time 0.747 (0.752)	Data 0.001 (0.001)	Loss 2.3392 (2.2327)	Prec@1 40.625 (43.997)	Prec@5 72.656 (74.634)
Epoch: [32][13280/14090]	Time 0.758 (0.752)	Data 0.002 (0.001)	Loss 2.1958 (2.2327)	Prec@1 42.969 (43.997)	Prec@5 71.094 (74.635)
Epoch: [32][13290/14090]	Time 0.752 (0.752)	Data 0.001 (0.001)	Loss 2.4436 (2.2326)	Prec@1 37.500 (44.000)	Prec@5 74.219 (74.637)
Epoch: [32][13300/14090]	Time 0.777 (0.752)	Data 0.001 (0.001)	Loss 2.0004 (2.2326)	Prec@1 50.781 (44.000)	Prec@5 76.562 (74.638)
Epoch: [32][13310/14090]	Time 0.769 (0.752)	Data 0.001 (0.001)	Loss 2.3553 (2.2326)	Prec@1 44.531 (44.001)	Prec@5 67.188 (74.638)
Epoch: [32][13320/14090]	Time 0.773 (0.752)	Data 0.001 (0.001)	Loss 2.1822 (2.2326)	Prec@1 49.219 (44.002)	Prec@5 76.562 (74.638)
Epoch: [32][13330/14090]	Time 0.776 (0.752)	Data 0.001 (0.001)	Loss 2.2129 (2.2327)	Prec@1 39.062 (44.000)	Prec@5 75.781 (74.637)
Epoch: [32][13340/14090]	Time 0.731 (0.752)	Data 0.001 (0.001)	Loss 2.3931 (2.2327)	Prec@1 42.188 (44.000)	Prec@5 70.312 (74.638)
Epoch: [32][13350/14090]	Time 0.744 (0.752)	Data 0.002 (0.001)	Loss 2.0878 (2.2327)	Prec@1 44.531 (44.000)	Prec@5 76.562 (74.638)
Epoch: [32][13360/14090]	Time 0.745 (0.752)	Data 0.001 (0.001)	Loss 2.2099 (2.2327)	Prec@1 46.875 (44.001)	Prec@5 73.438 (74.639)
Epoch: [32][13370/14090]	Time 0.736 (0.752)	Data 0.001 (0.001)	Loss 2.1438 (2.2327)	Prec@1 47.656 (44.001)	Prec@5 77.344 (74.639)
Epoch: [32][13380/14090]	Time 0.736 (0.752)	Data 0.001 (0.001)	Loss 2.1285 (2.2327)	Prec@1 46.875 (43.999)	Prec@5 77.344 (74.638)
Epoch: [32][13390/14090]	Time 0.779 (0.752)	Data 0.001 (0.001)	Loss 2.4867 (2.2328)	Prec@1 34.375 (43.998)	Prec@5 65.625 (74.639)
Epoch: [32][13400/14090]	Time 0.750 (0.752)	Data 0.001 (0.001)	Loss 2.4176 (2.2328)	Prec@1 42.969 (43.998)	Prec@5 69.531 (74.637)
Epoch: [32][13410/14090]	Time 0.761 (0.752)	Data 0.002 (0.001)	Loss 1.8244 (2.2327)	Prec@1 50.781 (44.001)	Prec@5 82.812 (74.639)
Epoch: [32][13420/14090]	Time 0.761 (0.752)	Data 0.004 (0.001)	Loss 2.0705 (2.2327)	Prec@1 47.656 (44.000)	Prec@5 79.688 (74.639)
Epoch: [32][13430/14090]	Time 0.735 (0.752)	Data 0.001 (0.001)	Loss 2.1044 (2.2328)	Prec@1 47.656 (44.000)	Prec@5 71.094 (74.639)
Epoch: [32][13440/14090]	Time 0.767 (0.752)	Data 0.001 (0.001)	Loss 1.9949 (2.2328)	Prec@1 45.312 (44.001)	Prec@5 77.344 (74.638)
Epoch: [32][13450/14090]	Time 0.773 (0.752)	Data 0.001 (0.001)	Loss 2.0757 (2.2328)	Prec@1 46.094 (44.001)	Prec@5 78.125 (74.638)
Epoch: [32][13460/14090]	Time 0.757 (0.752)	Data 0.003 (0.001)	Loss 2.0871 (2.2327)	Prec@1 45.312 (44.002)	Prec@5 76.562 (74.638)
Epoch: [32][13470/14090]	Time 0.754 (0.752)	Data 0.001 (0.001)	Loss 2.4531 (2.2328)	Prec@1 37.500 (44.002)	Prec@5 71.875 (74.637)
Epoch: [32][13480/14090]	Time 0.772 (0.752)	Data 0.001 (0.001)	Loss 2.1948 (2.2328)	Prec@1 44.531 (44.001)	Prec@5 75.000 (74.636)
Epoch: [32][13490/14090]	Time 0.724 (0.752)	Data 0.002 (0.001)	Loss 2.1784 (2.2329)	Prec@1 42.969 (44.001)	Prec@5 77.344 (74.635)
Epoch: [32][13500/14090]	Time 0.763 (0.752)	Data 0.001 (0.001)	Loss 2.1481 (2.2329)	Prec@1 49.219 (44.000)	Prec@5 75.000 (74.634)
Epoch: [32][13510/14090]	Time 0.749 (0.752)	Data 0.001 (0.001)	Loss 2.3438 (2.2329)	Prec@1 46.094 (44.002)	Prec@5 70.312 (74.634)
Epoch: [32][13520/14090]	Time 0.753 (0.752)	Data 0.001 (0.001)	Loss 2.2319 (2.2329)	Prec@1 46.875 (44.002)	Prec@5 73.438 (74.633)
Epoch: [32][13530/14090]	Time 0.760 (0.752)	Data 0.001 (0.001)	Loss 2.7492 (2.2330)	Prec@1 36.719 (44.002)	Prec@5 66.406 (74.633)
Epoch: [32][13540/14090]	Time 0.754 (0.752)	Data 0.001 (0.001)	Loss 2.4330 (2.2330)	Prec@1 42.969 (44.002)	Prec@5 67.188 (74.631)
Epoch: [32][13550/14090]	Time 0.767 (0.752)	Data 0.001 (0.001)	Loss 2.1741 (2.2330)	Prec@1 44.531 (44.003)	Prec@5 77.344 (74.631)
Epoch: [32][13560/14090]	Time 0.752 (0.752)	Data 0.002 (0.001)	Loss 2.2519 (2.2331)	Prec@1 46.094 (44.002)	Prec@5 76.562 (74.630)
Epoch: [32][13570/14090]	Time 0.740 (0.752)	Data 0.001 (0.001)	Loss 2.1503 (2.2331)	Prec@1 46.094 (44.002)	Prec@5 73.438 (74.628)
Epoch: [32][13580/14090]	Time 0.770 (0.752)	Data 0.001 (0.001)	Loss 2.1550 (2.2331)	Prec@1 42.188 (44.002)	Prec@5 71.094 (74.629)
Epoch: [32][13590/14090]	Time 0.768 (0.752)	Data 0.001 (0.001)	Loss 2.5258 (2.2331)	Prec@1 35.156 (44.003)	Prec@5 67.188 (74.630)
Epoch: [32][13600/14090]	Time 0.730 (0.752)	Data 0.001 (0.001)	Loss 2.3313 (2.2331)	Prec@1 40.625 (44.003)	Prec@5 73.438 (74.629)
Epoch: [32][13610/14090]	Time 0.751 (0.752)	Data 0.001 (0.001)	Loss 2.5551 (2.2332)	Prec@1 39.844 (44.002)	Prec@5 68.750 (74.628)
Epoch: [32][13620/14090]	Time 0.732 (0.752)	Data 0.001 (0.001)	Loss 2.0193 (2.2331)	Prec@1 48.438 (44.004)	Prec@5 81.250 (74.630)
Epoch: [32][13630/14090]	Time 0.727 (0.752)	Data 0.002 (0.001)	Loss 1.9127 (2.2331)	Prec@1 52.344 (44.004)	Prec@5 78.906 (74.628)
Epoch: [32][13640/14090]	Time 0.741 (0.752)	Data 0.001 (0.001)	Loss 2.1788 (2.2331)	Prec@1 47.656 (44.005)	Prec@5 78.125 (74.628)
Epoch: [32][13650/14090]	Time 0.764 (0.752)	Data 0.001 (0.001)	Loss 2.1759 (2.2331)	Prec@1 46.875 (44.005)	Prec@5 72.656 (74.628)
Epoch: [32][13660/14090]	Time 0.780 (0.752)	Data 0.001 (0.001)	Loss 2.4485 (2.2331)	Prec@1 41.406 (44.004)	Prec@5 68.750 (74.627)
Epoch: [32][13670/14090]	Time 0.739 (0.752)	Data 0.001 (0.001)	Loss 2.4975 (2.2331)	Prec@1 35.938 (44.004)	Prec@5 68.750 (74.626)
Epoch: [32][13680/14090]	Time 0.759 (0.752)	Data 0.001 (0.001)	Loss 2.2148 (2.2332)	Prec@1 42.188 (44.003)	Prec@5 75.781 (74.626)
Epoch: [32][13690/14090]	Time 0.754 (0.752)	Data 0.001 (0.001)	Loss 2.1792 (2.2332)	Prec@1 40.625 (44.003)	Prec@5 78.125 (74.626)
Epoch: [32][13700/14090]	Time 0.755 (0.752)	Data 0.002 (0.001)	Loss 1.9738 (2.2332)	Prec@1 49.219 (44.002)	Prec@5 74.219 (74.625)
Epoch: [32][13710/14090]	Time 0.763 (0.752)	Data 0.001 (0.001)	Loss 2.1413 (2.2332)	Prec@1 42.969 (44.002)	Prec@5 77.344 (74.625)
Epoch: [32][13720/14090]	Time 0.731 (0.752)	Data 0.001 (0.001)	Loss 2.0693 (2.2332)	Prec@1 49.219 (44.002)	Prec@5 77.344 (74.625)
Epoch: [32][13730/14090]	Time 0.738 (0.752)	Data 0.001 (0.001)	Loss 2.2684 (2.2332)	Prec@1 45.312 (44.002)	Prec@5 67.969 (74.625)
Epoch: [32][13740/14090]	Time 0.777 (0.752)	Data 0.001 (0.001)	Loss 2.0052 (2.2331)	Prec@1 46.094 (44.003)	Prec@5 80.469 (74.626)
Epoch: [32][13750/14090]	Time 0.775 (0.752)	Data 0.001 (0.001)	Loss 1.9700 (2.2331)	Prec@1 50.781 (44.003)	Prec@5 80.469 (74.626)
Epoch: [32][13760/14090]	Time 0.745 (0.752)	Data 0.001 (0.001)	Loss 2.5338 (2.2332)	Prec@1 39.844 (44.002)	Prec@5 71.094 (74.626)
Epoch: [32][13770/14090]	Time 0.732 (0.752)	Data 0.002 (0.001)	Loss 2.6200 (2.2332)	Prec@1 38.281 (44.001)	Prec@5 70.312 (74.625)
Epoch: [32][13780/14090]	Time 0.783 (0.752)	Data 0.001 (0.001)	Loss 2.2766 (2.2333)	Prec@1 40.625 (44.001)	Prec@5 75.781 (74.624)
Epoch: [32][13790/14090]	Time 0.776 (0.752)	Data 0.001 (0.001)	Loss 2.3139 (2.2333)	Prec@1 41.406 (43.999)	Prec@5 74.219 (74.623)
Epoch: [32][13800/14090]	Time 0.737 (0.752)	Data 0.001 (0.001)	Loss 2.2213 (2.2333)	Prec@1 44.531 (44.000)	Prec@5 75.781 (74.624)
Epoch: [32][13810/14090]	Time 0.743 (0.752)	Data 0.001 (0.001)	Loss 2.6100 (2.2334)	Prec@1 40.625 (44.000)	Prec@5 66.406 (74.623)
Epoch: [32][13820/14090]	Time 0.763 (0.752)	Data 0.001 (0.001)	Loss 2.2570 (2.2333)	Prec@1 42.969 (44.000)	Prec@5 75.781 (74.624)
Epoch: [32][13830/14090]	Time 0.775 (0.752)	Data 0.001 (0.001)	Loss 2.3339 (2.2333)	Prec@1 48.438 (44.001)	Prec@5 71.875 (74.623)
Epoch: [32][13840/14090]	Time 0.739 (0.752)	Data 0.002 (0.001)	Loss 2.1752 (2.2333)	Prec@1 40.625 (44.001)	Prec@5 75.781 (74.624)
Epoch: [32][13850/14090]	Time 0.778 (0.752)	Data 0.001 (0.001)	Loss 2.4105 (2.2333)	Prec@1 35.156 (43.999)	Prec@5 68.750 (74.623)
Epoch: [32][13860/14090]	Time 0.772 (0.752)	Data 0.001 (0.001)	Loss 2.2726 (2.2334)	Prec@1 40.625 (43.997)	Prec@5 75.000 (74.623)
Epoch: [32][13870/14090]	Time 0.775 (0.752)	Data 0.001 (0.001)	Loss 2.2004 (2.2333)	Prec@1 43.750 (43.998)	Prec@5 75.000 (74.623)
Epoch: [32][13880/14090]	Time 0.763 (0.752)	Data 0.001 (0.001)	Loss 2.1665 (2.2333)	Prec@1 46.094 (43.998)	Prec@5 74.219 (74.624)
Epoch: [32][13890/14090]	Time 0.777 (0.752)	Data 0.001 (0.001)	Loss 2.2982 (2.2333)	Prec@1 44.531 (43.997)	Prec@5 78.125 (74.624)
Epoch: [32][13900/14090]	Time 0.737 (0.752)	Data 0.001 (0.001)	Loss 2.0073 (2.2333)	Prec@1 55.469 (43.999)	Prec@5 77.344 (74.625)
Epoch: [32][13910/14090]	Time 0.752 (0.752)	Data 0.002 (0.001)	Loss 2.3528 (2.2333)	Prec@1 42.188 (43.998)	Prec@5 72.656 (74.624)
Epoch: [32][13920/14090]	Time 0.748 (0.752)	Data 0.001 (0.001)	Loss 2.2338 (2.2333)	Prec@1 42.969 (43.998)	Prec@5 75.781 (74.623)
Epoch: [32][13930/14090]	Time 0.736 (0.752)	Data 0.001 (0.001)	Loss 2.2197 (2.2334)	Prec@1 42.969 (43.997)	Prec@5 75.781 (74.623)
Epoch: [32][13940/14090]	Time 0.750 (0.752)	Data 0.001 (0.001)	Loss 2.2573 (2.2335)	Prec@1 37.500 (43.996)	Prec@5 75.000 (74.622)
Epoch: [32][13950/14090]	Time 0.768 (0.752)	Data 0.001 (0.001)	Loss 2.3245 (2.2335)	Prec@1 39.062 (43.994)	Prec@5 76.562 (74.621)
Epoch: [32][13960/14090]	Time 0.753 (0.752)	Data 0.001 (0.001)	Loss 2.0435 (2.2335)	Prec@1 46.094 (43.995)	Prec@5 78.906 (74.622)
Epoch: [32][13970/14090]	Time 0.768 (0.752)	Data 0.001 (0.001)	Loss 2.4061 (2.2336)	Prec@1 39.844 (43.995)	Prec@5 75.781 (74.622)
Epoch: [32][13980/14090]	Time 0.728 (0.752)	Data 0.002 (0.001)	Loss 2.0394 (2.2335)	Prec@1 44.531 (43.994)	Prec@5 78.906 (74.623)
Epoch: [32][13990/14090]	Time 0.761 (0.752)	Data 0.001 (0.001)	Loss 2.1408 (2.2335)	Prec@1 46.094 (43.995)	Prec@5 77.344 (74.623)
Epoch: [32][14000/14090]	Time 0.739 (0.752)	Data 0.002 (0.001)	Loss 2.4263 (2.2336)	Prec@1 42.969 (43.994)	Prec@5 71.094 (74.623)
Epoch: [32][14010/14090]	Time 0.733 (0.752)	Data 0.001 (0.001)	Loss 1.9984 (2.2335)	Prec@1 46.875 (43.997)	Prec@5 78.906 (74.624)
Epoch: [32][14020/14090]	Time 0.728 (0.752)	Data 0.001 (0.001)	Loss 2.4033 (2.2336)	Prec@1 43.750 (43.995)	Prec@5 67.969 (74.622)
Epoch: [32][14030/14090]	Time 0.749 (0.752)	Data 0.001 (0.001)	Loss 2.2381 (2.2336)	Prec@1 42.188 (43.993)	Prec@5 71.094 (74.623)
Epoch: [32][14040/14090]	Time 0.746 (0.752)	Data 0.001 (0.001)	Loss 2.2488 (2.2335)	Prec@1 41.406 (43.995)	Prec@5 72.656 (74.624)
Epoch: [32][14050/14090]	Time 0.756 (0.752)	Data 0.002 (0.001)	Loss 2.3979 (2.2335)	Prec@1 46.094 (43.996)	Prec@5 71.875 (74.624)
Epoch: [32][14060/14090]	Time 0.765 (0.752)	Data 0.001 (0.001)	Loss 2.3164 (2.2335)	Prec@1 39.062 (43.997)	Prec@5 72.656 (74.624)
Epoch: [32][14070/14090]	Time 0.756 (0.752)	Data 0.001 (0.001)	Loss 2.5734 (2.2335)	Prec@1 35.938 (43.997)	Prec@5 69.531 (74.625)
Epoch: [32][14080/14090]	Time 0.738 (0.752)	Data 0.000 (0.001)	Loss 2.2843 (2.2335)	Prec@1 50.000 (43.997)	Prec@5 75.000 (74.624)
Test: [0/286]	Time 3.875 (3.875)	Loss 1.0152 (1.0152)	Prec@1 71.094 (71.094)	Prec@5 94.531 (94.531)
Test: [10/286]	Time 0.286 (0.678)	Loss 2.0587 (1.9514)	Prec@1 42.188 (48.651)	Prec@5 79.688 (81.889)
Test: [20/286]	Time 0.240 (0.517)	Loss 1.6156 (1.8701)	Prec@1 56.250 (50.484)	Prec@5 89.062 (82.999)
Test: [30/286]	Time 0.260 (0.461)	Loss 2.0415 (1.7914)	Prec@1 44.531 (52.949)	Prec@5 79.688 (83.065)
Test: [40/286]	Time 1.085 (0.448)	Loss 1.8539 (1.8489)	Prec@1 42.188 (51.220)	Prec@5 84.375 (82.241)
Test: [50/286]	Time 0.239 (0.427)	Loss 0.7499 (1.8410)	Prec@1 85.156 (51.409)	Prec@5 90.625 (82.292)
Test: [60/286]	Time 0.306 (0.412)	Loss 2.8392 (1.8571)	Prec@1 32.031 (50.986)	Prec@5 61.719 (81.519)
Test: [70/286]	Time 0.229 (0.400)	Loss 1.2869 (1.8441)	Prec@1 71.094 (51.419)	Prec@5 88.281 (81.646)
Test: [80/286]	Time 1.047 (0.402)	Loss 1.9809 (1.8860)	Prec@1 46.094 (49.904)	Prec@5 83.594 (81.163)
Test: [90/286]	Time 0.229 (0.395)	Loss 2.2553 (1.9048)	Prec@1 42.188 (49.700)	Prec@5 75.781 (80.932)
Test: [100/286]	Time 0.241 (0.390)	Loss 2.0910 (1.9027)	Prec@1 32.812 (49.652)	Prec@5 85.938 (81.304)
Test: [110/286]	Time 0.357 (0.387)	Loss 2.5905 (1.9212)	Prec@1 35.156 (49.134)	Prec@5 70.312 (81.243)
Test: [120/286]	Time 0.936 (0.389)	Loss 1.7685 (1.9039)	Prec@1 58.594 (49.813)	Prec@5 76.562 (81.399)
Test: [130/286]	Time 0.227 (0.385)	Loss 1.3268 (1.8975)	Prec@1 60.156 (50.072)	Prec@5 89.844 (81.429)
Test: [140/286]	Time 0.279 (0.383)	Loss 2.2915 (1.8889)	Prec@1 46.094 (50.211)	Prec@5 76.562 (81.577)
Test: [150/286]	Time 0.269 (0.379)	Loss 2.8468 (1.9049)	Prec@1 29.688 (49.700)	Prec@5 67.969 (81.322)
Test: [160/286]	Time 0.926 (0.381)	Loss 2.8388 (1.9020)	Prec@1 23.438 (49.801)	Prec@5 64.062 (81.396)
Test: [170/286]	Time 0.241 (0.379)	Loss 2.2704 (1.8961)	Prec@1 36.719 (49.890)	Prec@5 77.344 (81.483)
Test: [180/286]	Time 0.235 (0.377)	Loss 1.8842 (1.9106)	Prec@1 57.812 (49.620)	Prec@5 79.688 (81.259)
Test: [190/286]	Time 0.232 (0.376)	Loss 2.7366 (1.9249)	Prec@1 25.000 (49.276)	Prec@5 74.219 (81.156)
Test: [200/286]	Time 0.645 (0.376)	Loss 1.6878 (1.9196)	Prec@1 62.500 (49.471)	Prec@5 90.625 (81.184)
Test: [210/286]	Time 0.322 (0.377)	Loss 2.0123 (1.9247)	Prec@1 45.312 (49.256)	Prec@5 80.469 (81.132)
Test: [220/286]	Time 0.241 (0.375)	Loss 3.1956 (1.9314)	Prec@1 17.969 (49.212)	Prec@5 58.594 (80.953)
Test: [230/286]	Time 0.244 (0.374)	Loss 1.1649 (1.9313)	Prec@1 68.750 (49.138)	Prec@5 89.062 (80.919)
Test: [240/286]	Time 0.437 (0.373)	Loss 1.9668 (1.9276)	Prec@1 51.562 (49.322)	Prec@5 81.250 (80.994)
Test: [250/286]	Time 0.333 (0.373)	Loss 2.1523 (1.9190)	Prec@1 42.969 (49.486)	Prec@5 76.562 (81.269)
Test: [260/286]	Time 0.238 (0.373)	Loss 1.8679 (1.9121)	Prec@1 52.344 (49.677)	Prec@5 84.375 (81.397)
Test: [270/286]	Time 0.251 (0.371)	Loss 1.1593 (1.9090)	Prec@1 68.750 (49.792)	Prec@5 92.188 (81.484)
Test: [280/286]	Time 0.545 (0.371)	Loss 1.8575 (1.8919)	Prec@1 51.562 (50.342)	Prec@5 82.812 (81.659)
 * Prec@1 50.478 Prec@5 81.682
Epoch: [33][0/14090]	Time 5.173 (5.173)	Data 4.385 (4.385)	Loss 2.2512 (2.2512)	Prec@1 41.406 (41.406)	Prec@5 75.000 (75.000)
Epoch: [33][10/14090]	Time 0.740 (1.140)	Data 0.001 (0.399)	Loss 2.4557 (2.1710)	Prec@1 40.625 (43.892)	Prec@5 69.531 (76.562)
Epoch: [33][20/14090]	Time 0.834 (0.958)	Data 0.001 (0.210)	Loss 2.1580 (2.1999)	Prec@1 39.844 (43.899)	Prec@5 76.562 (75.558)
Epoch: [33][30/14090]	Time 0.724 (0.894)	Data 0.001 (0.142)	Loss 2.2742 (2.2179)	Prec@1 43.750 (43.624)	Prec@5 70.312 (75.580)
Epoch: [33][40/14090]	Time 0.750 (0.860)	Data 0.001 (0.108)	Loss 2.3488 (2.2264)	Prec@1 39.062 (43.921)	Prec@5 70.312 (75.286)
Epoch: [33][50/14090]	Time 0.757 (0.843)	Data 0.001 (0.087)	Loss 2.3361 (2.2295)	Prec@1 40.625 (43.964)	Prec@5 74.219 (75.138)
Epoch: [33][60/14090]	Time 0.736 (0.828)	Data 0.001 (0.073)	Loss 2.1340 (2.2325)	Prec@1 45.312 (44.070)	Prec@5 72.656 (75.051)
Epoch: [33][70/14090]	Time 0.747 (0.820)	Data 0.001 (0.063)	Loss 2.0309 (2.2267)	Prec@1 53.906 (44.311)	Prec@5 81.250 (75.121)
Epoch: [33][80/14090]	Time 0.755 (0.813)	Data 0.001 (0.055)	Loss 2.3439 (2.2305)	Prec@1 42.188 (44.261)	Prec@5 71.875 (75.077)
Epoch: [33][90/14090]	Time 0.883 (0.810)	Data 0.001 (0.049)	Loss 2.3452 (2.2210)	Prec@1 39.062 (44.531)	Prec@5 71.094 (75.060)
Epoch: [33][100/14090]	Time 0.757 (0.805)	Data 0.001 (0.044)	Loss 2.0787 (2.2193)	Prec@1 45.312 (44.593)	Prec@5 73.438 (75.077)
Epoch: [33][110/14090]	Time 0.745 (0.802)	Data 0.001 (0.040)	Loss 1.9112 (2.2164)	Prec@1 45.312 (44.433)	Prec@5 79.688 (75.120)
Epoch: [33][120/14090]	Time 0.741 (0.802)	Data 0.001 (0.037)	Loss 2.3408 (2.2131)	Prec@1 38.281 (44.357)	Prec@5 70.312 (75.123)
Epoch: [33][130/14090]	Time 0.744 (0.799)	Data 0.001 (0.034)	Loss 2.2705 (2.2155)	Prec@1 46.094 (44.233)	Prec@5 70.312 (75.030)
Epoch: [33][140/14090]	Time 0.729 (0.798)	Data 0.001 (0.032)	Loss 1.9433 (2.2135)	Prec@1 46.875 (44.232)	Prec@5 78.125 (74.978)
Epoch: [33][150/14090]	Time 0.734 (0.796)	Data 0.001 (0.030)	Loss 2.1090 (2.2090)	Prec@1 41.406 (44.340)	Prec@5 79.688 (75.103)
Epoch: [33][160/14090]	Time 0.922 (0.795)	Data 0.001 (0.028)	Loss 2.0583 (2.2039)	Prec@1 49.219 (44.536)	Prec@5 80.469 (75.160)
Epoch: [33][170/14090]	Time 0.765 (0.793)	Data 0.001 (0.027)	Loss 2.2500 (2.2081)	Prec@1 49.219 (44.518)	Prec@5 71.094 (75.050)
Epoch: [33][180/14090]	Time 0.726 (0.792)	Data 0.001 (0.025)	Loss 2.1670 (2.2102)	Prec@1 46.094 (44.449)	Prec@5 71.875 (74.978)
Epoch: [33][190/14090]	Time 0.743 (0.791)	Data 0.001 (0.024)	Loss 2.4950 (2.2081)	Prec@1 37.500 (44.486)	Prec@5 71.094 (75.008)
Epoch: [33][200/14090]	Time 0.737 (0.789)	Data 0.001 (0.023)	Loss 2.0998 (2.2048)	Prec@1 48.438 (44.609)	Prec@5 77.344 (75.047)
Epoch: [33][210/14090]	Time 0.763 (0.789)	Data 0.001 (0.022)	Loss 1.9972 (2.2056)	Prec@1 50.781 (44.583)	Prec@5 77.344 (75.048)
Epoch: [33][220/14090]	Time 0.764 (0.788)	Data 0.001 (0.021)	Loss 2.0900 (2.2066)	Prec@1 44.531 (44.514)	Prec@5 80.469 (75.039)
Epoch: [33][230/14090]	Time 0.917 (0.788)	Data 0.001 (0.020)	Loss 2.3495 (2.2056)	Prec@1 42.969 (44.524)	Prec@5 75.000 (75.044)
Epoch: [33][240/14090]	Time 0.750 (0.787)	Data 0.001 (0.019)	Loss 2.0834 (2.2070)	Prec@1 54.688 (44.625)	Prec@5 75.781 (75.026)
Epoch: [33][250/14090]	Time 0.774 (0.786)	Data 0.001 (0.018)	Loss 2.0531 (2.2070)	Prec@1 51.562 (44.727)	Prec@5 80.469 (74.991)
Epoch: [33][260/14090]	Time 0.749 (0.786)	Data 0.001 (0.018)	Loss 2.0998 (2.2066)	Prec@1 48.438 (44.729)	Prec@5 81.250 (74.991)
Epoch: [33][270/14090]	Time 0.759 (0.785)	Data 0.002 (0.017)	Loss 2.2530 (2.2105)	Prec@1 46.094 (44.681)	Prec@5 71.094 (74.925)
Epoch: [33][280/14090]	Time 0.747 (0.785)	Data 0.001 (0.017)	Loss 2.0484 (2.2112)	Prec@1 44.531 (44.642)	Prec@5 78.906 (74.894)
Epoch: [33][290/14090]	Time 0.775 (0.784)	Data 0.001 (0.016)	Loss 2.3532 (2.2116)	Prec@1 42.969 (44.655)	Prec@5 69.531 (74.871)
Epoch: [33][300/14090]	Time 0.841 (0.784)	Data 0.001 (0.015)	Loss 2.0838 (2.2107)	Prec@1 51.562 (44.627)	Prec@5 76.562 (74.909)
Epoch: [33][310/14090]	Time 0.768 (0.783)	Data 0.001 (0.015)	Loss 2.5782 (2.2117)	Prec@1 40.625 (44.619)	Prec@5 68.750 (74.902)
Epoch: [33][320/14090]	Time 0.749 (0.783)	Data 0.001 (0.015)	Loss 2.2231 (2.2134)	Prec@1 39.062 (44.551)	Prec@5 72.656 (74.856)
Epoch: [33][330/14090]	Time 0.742 (0.783)	Data 0.001 (0.014)	Loss 2.2778 (2.2106)	Prec@1 41.406 (44.604)	Prec@5 74.219 (74.908)
Epoch: [33][340/14090]	Time 0.747 (0.782)	Data 0.001 (0.014)	Loss 2.2886 (2.2095)	Prec@1 39.062 (44.586)	Prec@5 67.188 (74.927)
Epoch: [33][350/14090]	Time 0.724 (0.782)	Data 0.001 (0.013)	Loss 2.2289 (2.2091)	Prec@1 46.875 (44.594)	Prec@5 75.000 (74.924)
Epoch: [33][360/14090]	Time 0.755 (0.782)	Data 0.001 (0.013)	Loss 2.7008 (2.2112)	Prec@1 38.281 (44.609)	Prec@5 63.281 (74.918)
Epoch: [33][370/14090]	Time 0.872 (0.782)	Data 0.001 (0.013)	Loss 2.3092 (2.2110)	Prec@1 43.750 (44.586)	Prec@5 73.438 (74.912)
Epoch: [33][380/14090]	Time 0.754 (0.782)	Data 0.001 (0.012)	Loss 2.2920 (2.2134)	Prec@1 42.188 (44.542)	Prec@5 70.312 (74.863)
Epoch: [33][390/14090]	Time 0.736 (0.781)	Data 0.001 (0.012)	Loss 2.3247 (2.2157)	Prec@1 44.531 (44.499)	Prec@5 71.875 (74.814)
Epoch: [33][400/14090]	Time 0.750 (0.782)	Data 0.001 (0.012)	Loss 1.9593 (2.2136)	Prec@1 49.219 (44.529)	Prec@5 79.688 (74.850)
Epoch: [33][410/14090]	Time 0.740 (0.781)	Data 0.001 (0.012)	Loss 2.4471 (2.2130)	Prec@1 40.625 (44.533)	Prec@5 71.094 (74.859)
Epoch: [33][420/14090]	Time 0.757 (0.781)	Data 0.001 (0.011)	Loss 2.3846 (2.2116)	Prec@1 35.156 (44.548)	Prec@5 75.000 (74.896)
Epoch: [33][430/14090]	Time 0.728 (0.781)	Data 0.001 (0.011)	Loss 2.2945 (2.2102)	Prec@1 42.969 (44.584)	Prec@5 74.219 (74.927)
Epoch: [33][440/14090]	Time 0.878 (0.781)	Data 0.001 (0.011)	Loss 2.3556 (2.2131)	Prec@1 42.969 (44.519)	Prec@5 71.094 (74.867)
Epoch: [33][450/14090]	Time 0.742 (0.780)	Data 0.001 (0.011)	Loss 2.0513 (2.2139)	Prec@1 50.000 (44.523)	Prec@5 78.906 (74.823)
Epoch: [33][460/14090]	Time 0.741 (0.780)	Data 0.001 (0.010)	Loss 2.2469 (2.2156)	Prec@1 37.500 (44.484)	Prec@5 73.438 (74.803)
Epoch: [33][470/14090]	Time 0.751 (0.780)	Data 0.001 (0.010)	Loss 2.4368 (2.2165)	Prec@1 45.312 (44.457)	Prec@5 68.750 (74.808)
Epoch: [33][480/14090]	Time 0.756 (0.779)	Data 0.001 (0.010)	Loss 2.3897 (2.2164)	Prec@1 41.406 (44.453)	Prec@5 70.312 (74.803)
Epoch: [33][490/14090]	Time 0.748 (0.779)	Data 0.001 (0.010)	Loss 1.9301 (2.2160)	Prec@1 51.562 (44.436)	Prec@5 78.906 (74.809)
Epoch: [33][500/14090]	Time 0.735 (0.779)	Data 0.001 (0.010)	Loss 2.2181 (2.2174)	Prec@1 48.438 (44.405)	Prec@5 76.562 (74.813)
Epoch: [33][510/14090]	Time 0.876 (0.779)	Data 0.001 (0.009)	Loss 2.0186 (2.2168)	Prec@1 52.344 (44.418)	Prec@5 80.469 (74.832)
Epoch: [33][520/14090]	Time 0.753 (0.779)	Data 0.001 (0.009)	Loss 2.4726 (2.2164)	Prec@1 42.969 (44.396)	Prec@5 71.875 (74.874)
Epoch: [33][530/14090]	Time 0.754 (0.778)	Data 0.001 (0.009)	Loss 2.2822 (2.2159)	Prec@1 40.625 (44.403)	Prec@5 73.438 (74.893)
Epoch: [33][540/14090]	Time 0.732 (0.778)	Data 0.001 (0.009)	Loss 2.0722 (2.2158)	Prec@1 43.750 (44.429)	Prec@5 78.906 (74.895)
Epoch: [33][550/14090]	Time 0.740 (0.778)	Data 0.001 (0.009)	Loss 2.2076 (2.2166)	Prec@1 39.062 (44.421)	Prec@5 75.781 (74.894)
Epoch: [33][560/14090]	Time 0.748 (0.778)	Data 0.001 (0.009)	Loss 2.4991 (2.2169)	Prec@1 45.312 (44.411)	Prec@5 68.750 (74.883)
Epoch: [33][570/14090]	Time 0.776 (0.778)	Data 0.001 (0.009)	Loss 2.4916 (2.2165)	Prec@1 39.062 (44.412)	Prec@5 71.094 (74.893)
Epoch: [33][580/14090]	Time 0.916 (0.778)	Data 0.001 (0.008)	Loss 2.1783 (2.2161)	Prec@1 49.219 (44.410)	Prec@5 74.219 (74.895)
Epoch: [33][590/14090]	Time 0.737 (0.778)	Data 0.001 (0.008)	Loss 2.0419 (2.2172)	Prec@1 43.750 (44.387)	Prec@5 79.688 (74.868)
Epoch: [33][600/14090]	Time 0.770 (0.777)	Data 0.001 (0.008)	Loss 2.2653 (2.2173)	Prec@1 41.406 (44.378)	Prec@5 77.344 (74.857)
Epoch: [33][610/14090]	Time 0.734 (0.778)	Data 0.001 (0.008)	Loss 2.2125 (2.2177)	Prec@1 42.969 (44.380)	Prec@5 75.781 (74.836)
Epoch: [33][620/14090]	Time 0.748 (0.777)	Data 0.001 (0.008)	Loss 2.0176 (2.2164)	Prec@1 50.000 (44.410)	Prec@5 78.906 (74.855)
Epoch: [33][630/14090]	Time 0.742 (0.778)	Data 0.001 (0.008)	Loss 2.4910 (2.2166)	Prec@1 37.500 (44.417)	Prec@5 67.188 (74.833)
Epoch: [33][640/14090]	Time 0.772 (0.777)	Data 0.001 (0.008)	Loss 2.0759 (2.2172)	Prec@1 46.875 (44.407)	Prec@5 79.688 (74.827)
Epoch: [33][650/14090]	Time 0.865 (0.777)	Data 0.001 (0.008)	Loss 2.2868 (2.2170)	Prec@1 42.188 (44.423)	Prec@5 74.219 (74.820)
Epoch: [33][660/14090]	Time 0.742 (0.777)	Data 0.001 (0.008)	Loss 2.3337 (2.2179)	Prec@1 39.844 (44.400)	Prec@5 75.000 (74.792)
Epoch: [33][670/14090]	Time 0.755 (0.777)	Data 0.001 (0.007)	Loss 2.2750 (2.2182)	Prec@1 41.406 (44.382)	Prec@5 75.781 (74.813)
Epoch: [33][680/14090]	Time 0.758 (0.777)	Data 0.001 (0.007)	Loss 1.8706 (2.2181)	Prec@1 52.344 (44.358)	Prec@5 76.562 (74.816)
Epoch: [33][690/14090]	Time 0.742 (0.777)	Data 0.001 (0.007)	Loss 2.4186 (2.2183)	Prec@1 41.406 (44.339)	Prec@5 68.750 (74.804)
Epoch: [33][700/14090]	Time 0.746 (0.777)	Data 0.001 (0.007)	Loss 2.3260 (2.2178)	Prec@1 48.438 (44.346)	Prec@5 67.969 (74.793)
Epoch: [33][710/14090]	Time 0.745 (0.777)	Data 0.001 (0.007)	Loss 2.3293 (2.2186)	Prec@1 45.312 (44.310)	Prec@5 69.531 (74.778)
Epoch: [33][720/14090]	Time 0.982 (0.777)	Data 0.001 (0.007)	Loss 2.2633 (2.2192)	Prec@1 39.844 (44.323)	Prec@5 77.344 (74.756)
Epoch: [33][730/14090]	Time 0.756 (0.777)	Data 0.001 (0.007)	Loss 2.1100 (2.2199)	Prec@1 46.094 (44.316)	Prec@5 76.562 (74.740)
Epoch: [33][740/14090]	Time 0.781 (0.776)	Data 0.001 (0.007)	Loss 2.3084 (2.2200)	Prec@1 42.969 (44.315)	Prec@5 71.094 (74.737)
Epoch: [33][750/14090]	Time 0.738 (0.776)	Data 0.001 (0.007)	Loss 2.2219 (2.2200)	Prec@1 48.438 (44.323)	Prec@5 74.219 (74.745)
Epoch: [33][760/14090]	Time 0.753 (0.777)	Data 0.001 (0.007)	Loss 2.2277 (2.2196)	Prec@1 50.000 (44.354)	Prec@5 78.125 (74.755)
Epoch: [33][770/14090]	Time 0.768 (0.777)	Data 0.001 (0.007)	Loss 2.0706 (2.2184)	Prec@1 49.219 (44.375)	Prec@5 78.906 (74.776)
Epoch: [33][780/14090]	Time 0.729 (0.776)	Data 0.001 (0.007)	Loss 2.1802 (2.2188)	Prec@1 48.438 (44.373)	Prec@5 74.219 (74.753)
Epoch: [33][790/14090]	Time 0.895 (0.776)	Data 0.001 (0.006)	Loss 2.1961 (2.2182)	Prec@1 40.625 (44.384)	Prec@5 78.125 (74.768)
Epoch: [33][800/14090]	Time 0.739 (0.776)	Data 0.001 (0.006)	Loss 2.3860 (2.2182)	Prec@1 42.969 (44.376)	Prec@5 72.656 (74.755)
Epoch: [33][810/14090]	Time 0.752 (0.776)	Data 0.001 (0.006)	Loss 2.4776 (2.2191)	Prec@1 45.312 (44.348)	Prec@5 75.000 (74.750)
Epoch: [33][820/14090]	Time 0.756 (0.776)	Data 0.001 (0.006)	Loss 2.2862 (2.2193)	Prec@1 39.844 (44.352)	Prec@5 76.562 (74.738)
Epoch: [33][830/14090]	Time 0.736 (0.776)	Data 0.001 (0.006)	Loss 2.3325 (2.2187)	Prec@1 39.062 (44.386)	Prec@5 76.562 (74.742)
Epoch: [33][840/14090]	Time 0.757 (0.776)	Data 0.001 (0.006)	Loss 2.2097 (2.2185)	Prec@1 41.406 (44.404)	Prec@5 80.469 (74.767)
Epoch: [33][850/14090]	Time 0.749 (0.776)	Data 0.001 (0.006)	Loss 1.8115 (2.2171)	Prec@1 50.000 (44.425)	Prec@5 86.719 (74.789)
Epoch: [33][860/14090]	Time 0.840 (0.776)	Data 0.001 (0.006)	Loss 1.8949 (2.2165)	Prec@1 47.656 (44.443)	Prec@5 78.906 (74.806)
Epoch: [33][870/14090]	Time 0.758 (0.776)	Data 0.001 (0.006)	Loss 2.2492 (2.2169)	Prec@1 46.875 (44.435)	Prec@5 74.219 (74.795)
Epoch: [33][880/14090]	Time 0.735 (0.776)	Data 0.001 (0.006)	Loss 2.0766 (2.2166)	Prec@1 45.312 (44.418)	Prec@5 74.219 (74.800)
Epoch: [33][890/14090]	Time 0.750 (0.776)	Data 0.001 (0.006)	Loss 2.3448 (2.2161)	Prec@1 33.594 (44.416)	Prec@5 73.438 (74.809)
Epoch: [33][900/14090]	Time 0.770 (0.776)	Data 0.001 (0.006)	Loss 2.1400 (2.2167)	Prec@1 39.062 (44.391)	Prec@5 78.125 (74.800)
Epoch: [33][910/14090]	Time 0.738 (0.776)	Data 0.001 (0.006)	Loss 2.2797 (2.2176)	Prec@1 44.531 (44.379)	Prec@5 76.562 (74.771)
Epoch: [33][920/14090]	Time 0.724 (0.776)	Data 0.001 (0.006)	Loss 2.0748 (2.2169)	Prec@1 49.219 (44.405)	Prec@5 76.562 (74.790)
Epoch: [33][930/14090]	Time 0.910 (0.776)	Data 0.001 (0.006)	Loss 2.1949 (2.2160)	Prec@1 46.875 (44.436)	Prec@5 78.125 (74.810)
Epoch: [33][940/14090]	Time 0.732 (0.776)	Data 0.001 (0.006)	Loss 2.2918 (2.2155)	Prec@1 41.406 (44.429)	Prec@5 73.438 (74.815)
Epoch: [33][950/14090]	Time 0.766 (0.775)	Data 0.001 (0.006)	Loss 2.2820 (2.2153)	Prec@1 41.406 (44.434)	Prec@5 70.312 (74.823)
Epoch: [33][960/14090]	Time 0.731 (0.775)	Data 0.001 (0.005)	Loss 2.1855 (2.2152)	Prec@1 47.656 (44.447)	Prec@5 71.875 (74.823)
Epoch: [33][970/14090]	Time 0.752 (0.775)	Data 0.001 (0.005)	Loss 2.2038 (2.2143)	Prec@1 46.875 (44.476)	Prec@5 77.344 (74.846)
Epoch: [33][980/14090]	Time 0.748 (0.775)	Data 0.001 (0.005)	Loss 2.2138 (2.2150)	Prec@1 41.406 (44.455)	Prec@5 76.562 (74.850)
Epoch: [33][990/14090]	Time 0.723 (0.775)	Data 0.001 (0.005)	Loss 2.0373 (2.2155)	Prec@1 47.656 (44.450)	Prec@5 75.781 (74.837)
Epoch: [33][1000/14090]	Time 1.039 (0.775)	Data 0.001 (0.005)	Loss 2.5663 (2.2156)	Prec@1 35.938 (44.441)	Prec@5 73.438 (74.848)
Epoch: [33][1010/14090]	Time 0.733 (0.775)	Data 0.001 (0.005)	Loss 2.1474 (2.2156)	Prec@1 46.875 (44.435)	Prec@5 76.562 (74.852)
Epoch: [33][1020/14090]	Time 0.746 (0.775)	Data 0.001 (0.005)	Loss 2.2556 (2.2154)	Prec@1 42.969 (44.439)	Prec@5 78.125 (74.857)
Epoch: [33][1030/14090]	Time 0.736 (0.775)	Data 0.001 (0.005)	Loss 2.3245 (2.2151)	Prec@1 42.969 (44.448)	Prec@5 76.562 (74.867)
Epoch: [33][1040/14090]	Time 0.723 (0.775)	Data 0.001 (0.005)	Loss 2.2566 (2.2154)	Prec@1 45.312 (44.430)	Prec@5 75.781 (74.861)
Epoch: [33][1050/14090]	Time 0.760 (0.775)	Data 0.001 (0.005)	Loss 2.1005 (2.2154)	Prec@1 46.094 (44.455)	Prec@5 81.250 (74.873)
Epoch: [33][1060/14090]	Time 0.746 (0.775)	Data 0.001 (0.005)	Loss 2.0951 (2.2150)	Prec@1 42.969 (44.464)	Prec@5 73.438 (74.879)
Epoch: [33][1070/14090]	Time 0.853 (0.775)	Data 0.001 (0.005)	Loss 1.8476 (2.2148)	Prec@1 57.031 (44.476)	Prec@5 84.375 (74.889)
Epoch: [33][1080/14090]	Time 0.763 (0.775)	Data 0.001 (0.005)	Loss 2.4117 (2.2151)	Prec@1 40.625 (44.486)	Prec@5 73.438 (74.881)
Epoch: [33][1090/14090]	Time 0.752 (0.775)	Data 0.001 (0.005)	Loss 2.1390 (2.2156)	Prec@1 47.656 (44.459)	Prec@5 75.781 (74.879)
Epoch: [33][1100/14090]	Time 0.740 (0.775)	Data 0.001 (0.005)	Loss 2.3552 (2.2158)	Prec@1 40.625 (44.445)	Prec@5 74.219 (74.866)
Epoch: [33][1110/14090]	Time 0.752 (0.775)	Data 0.001 (0.005)	Loss 2.4399 (2.2156)	Prec@1 40.625 (44.448)	Prec@5 70.312 (74.874)
Epoch: [33][1120/14090]	Time 0.750 (0.775)	Data 0.001 (0.005)	Loss 2.3521 (2.2159)	Prec@1 42.188 (44.439)	Prec@5 70.312 (74.870)
Epoch: [33][1130/14090]	Time 0.743 (0.775)	Data 0.001 (0.005)	Loss 1.9352 (2.2157)	Prec@1 50.000 (44.450)	Prec@5 79.688 (74.865)
Epoch: [33][1140/14090]	Time 0.891 (0.775)	Data 0.001 (0.005)	Loss 2.2727 (2.2155)	Prec@1 39.062 (44.452)	Prec@5 75.000 (74.864)
Epoch: [33][1150/14090]	Time 0.740 (0.775)	Data 0.001 (0.005)	Loss 2.4171 (2.2160)	Prec@1 40.625 (44.449)	Prec@5 69.531 (74.846)
Epoch: [33][1160/14090]	Time 0.742 (0.774)	Data 0.001 (0.005)	Loss 2.2123 (2.2158)	Prec@1 42.969 (44.461)	Prec@5 72.656 (74.847)
Epoch: [33][1170/14090]	Time 0.753 (0.775)	Data 0.001 (0.005)	Loss 2.2238 (2.2158)	Prec@1 45.312 (44.459)	Prec@5 76.562 (74.844)
Epoch: [33][1180/14090]	Time 0.750 (0.774)	Data 0.001 (0.005)	Loss 1.9891 (2.2160)	Prec@1 51.562 (44.466)	Prec@5 80.469 (74.849)
Epoch: [33][1190/14090]	Time 0.740 (0.774)	Data 0.001 (0.005)	Loss 2.1572 (2.2157)	Prec@1 47.656 (44.480)	Prec@5 79.688 (74.864)
Epoch: [33][1200/14090]	Time 0.765 (0.774)	Data 0.001 (0.005)	Loss 2.4077 (2.2154)	Prec@1 42.188 (44.473)	Prec@5 75.781 (74.876)
Epoch: [33][1210/14090]	Time 0.850 (0.774)	Data 0.001 (0.005)	Loss 2.1994 (2.2152)	Prec@1 46.875 (44.476)	Prec@5 76.562 (74.879)
Epoch: [33][1220/14090]	Time 0.772 (0.774)	Data 0.001 (0.004)	Loss 2.3105 (2.2157)	Prec@1 42.188 (44.479)	Prec@5 75.781 (74.880)
Epoch: [33][1230/14090]	Time 0.733 (0.774)	Data 0.001 (0.004)	Loss 2.0704 (2.2163)	Prec@1 44.531 (44.465)	Prec@5 78.906 (74.873)
Epoch: [33][1240/14090]	Time 0.752 (0.774)	Data 0.001 (0.004)	Loss 2.5429 (2.2163)	Prec@1 36.719 (44.453)	Prec@5 68.750 (74.879)
Epoch: [33][1250/14090]	Time 0.731 (0.774)	Data 0.001 (0.004)	Loss 2.1610 (2.2164)	Prec@1 46.875 (44.448)	Prec@5 75.781 (74.878)
Epoch: [33][1260/14090]	Time 0.752 (0.774)	Data 0.001 (0.004)	Loss 2.1426 (2.2165)	Prec@1 47.656 (44.442)	Prec@5 75.781 (74.877)
Epoch: [33][1270/14090]	Time 0.744 (0.774)	Data 0.001 (0.004)	Loss 2.6416 (2.2166)	Prec@1 38.281 (44.444)	Prec@5 67.188 (74.864)
Epoch: [33][1280/14090]	Time 0.922 (0.774)	Data 0.001 (0.004)	Loss 2.0438 (2.2171)	Prec@1 48.438 (44.439)	Prec@5 76.562 (74.854)
Epoch: [33][1290/14090]	Time 0.754 (0.774)	Data 0.001 (0.004)	Loss 2.1513 (2.2170)	Prec@1 47.656 (44.448)	Prec@5 80.469 (74.855)
Epoch: [33][1300/14090]	Time 0.758 (0.774)	Data 0.001 (0.004)	Loss 2.4787 (2.2181)	Prec@1 39.062 (44.430)	Prec@5 70.312 (74.834)
Epoch: [33][1310/14090]	Time 0.762 (0.774)	Data 0.001 (0.004)	Loss 2.2324 (2.2178)	Prec@1 42.969 (44.429)	Prec@5 74.219 (74.841)
Epoch: [33][1320/14090]	Time 0.756 (0.774)	Data 0.001 (0.004)	Loss 2.3386 (2.2185)	Prec@1 42.188 (44.425)	Prec@5 70.312 (74.831)
Epoch: [33][1330/14090]	Time 0.750 (0.774)	Data 0.001 (0.004)	Loss 2.2424 (2.2187)	Prec@1 45.312 (44.426)	Prec@5 73.438 (74.819)
Epoch: [33][1340/14090]	Time 0.735 (0.774)	Data 0.001 (0.004)	Loss 2.3333 (2.2185)	Prec@1 38.281 (44.421)	Prec@5 71.094 (74.823)
Epoch: [33][1350/14090]	Time 0.867 (0.774)	Data 0.001 (0.004)	Loss 2.1311 (2.2183)	Prec@1 45.312 (44.423)	Prec@5 76.562 (74.828)
Epoch: [33][1360/14090]	Time 0.745 (0.774)	Data 0.001 (0.004)	Loss 2.1082 (2.2179)	Prec@1 45.312 (44.433)	Prec@5 81.250 (74.843)
Epoch: [33][1370/14090]	Time 0.754 (0.774)	Data 0.001 (0.004)	Loss 2.2913 (2.2178)	Prec@1 47.656 (44.440)	Prec@5 71.875 (74.847)
Epoch: [33][1380/14090]	Time 0.739 (0.774)	Data 0.001 (0.004)	Loss 2.3432 (2.2180)	Prec@1 40.625 (44.427)	Prec@5 71.875 (74.850)
Epoch: [33][1390/14090]	Time 0.767 (0.774)	Data 0.001 (0.004)	Loss 2.4836 (2.2185)	Prec@1 40.625 (44.422)	Prec@5 72.656 (74.840)
Epoch: [33][1400/14090]	Time 0.745 (0.774)	Data 0.001 (0.004)	Loss 2.3094 (2.2186)	Prec@1 42.969 (44.423)	Prec@5 75.000 (74.841)
Epoch: [33][1410/14090]	Time 0.757 (0.774)	Data 0.001 (0.004)	Loss 2.2758 (2.2184)	Prec@1 44.531 (44.424)	Prec@5 73.438 (74.845)
Epoch: [33][1420/14090]	Time 0.840 (0.774)	Data 0.001 (0.004)	Loss 2.3626 (2.2185)	Prec@1 42.188 (44.419)	Prec@5 69.531 (74.844)
Epoch: [33][1430/14090]	Time 0.792 (0.774)	Data 0.001 (0.004)	Loss 2.0707 (2.2186)	Prec@1 46.875 (44.410)	Prec@5 82.031 (74.838)
Epoch: [33][1440/14090]	Time 0.734 (0.774)	Data 0.001 (0.004)	Loss 2.3580 (2.2186)	Prec@1 40.625 (44.406)	Prec@5 76.562 (74.847)
Epoch: [33][1450/14090]	Time 0.727 (0.774)	Data 0.001 (0.004)	Loss 2.3013 (2.2185)	Prec@1 42.969 (44.404)	Prec@5 73.438 (74.840)
Epoch: [33][1460/14090]	Time 0.752 (0.773)	Data 0.001 (0.004)	Loss 2.3755 (2.2185)	Prec@1 39.844 (44.405)	Prec@5 72.656 (74.840)
Epoch: [33][1470/14090]	Time 0.750 (0.773)	Data 0.001 (0.004)	Loss 1.9722 (2.2184)	Prec@1 51.562 (44.407)	Prec@5 78.906 (74.843)
Epoch: [33][1480/14090]	Time 0.755 (0.773)	Data 0.001 (0.004)	Loss 2.5095 (2.2187)	Prec@1 37.500 (44.405)	Prec@5 67.969 (74.835)
Epoch: [33][1490/14090]	Time 0.855 (0.773)	Data 0.001 (0.004)	Loss 2.1041 (2.2191)	Prec@1 46.875 (44.405)	Prec@5 72.656 (74.821)
Epoch: [33][1500/14090]	Time 0.774 (0.773)	Data 0.001 (0.004)	Loss 1.9745 (2.2190)	Prec@1 46.875 (44.386)	Prec@5 77.344 (74.814)
Epoch: [33][1510/14090]	Time 0.744 (0.773)	Data 0.001 (0.004)	Loss 2.3334 (2.2193)	Prec@1 46.094 (44.379)	Prec@5 76.562 (74.820)
Epoch: [33][1520/14090]	Time 0.768 (0.773)	Data 0.001 (0.004)	Loss 2.0085 (2.2190)	Prec@1 46.875 (44.380)	Prec@5 80.469 (74.827)
Epoch: [33][1530/14090]	Time 0.764 (0.773)	Data 0.001 (0.004)	Loss 2.2480 (2.2193)	Prec@1 41.406 (44.384)	Prec@5 78.125 (74.827)
Epoch: [33][1540/14090]	Time 0.731 (0.773)	Data 0.001 (0.004)	Loss 2.4562 (2.2195)	Prec@1 39.844 (44.384)	Prec@5 67.188 (74.817)
Epoch: [33][1550/14090]	Time 0.735 (0.773)	Data 0.001 (0.004)	Loss 2.3020 (2.2193)	Prec@1 46.875 (44.391)	Prec@5 71.875 (74.818)
Epoch: [33][1560/14090]	Time 0.866 (0.773)	Data 0.001 (0.004)	Loss 2.1947 (2.2192)	Prec@1 42.969 (44.386)	Prec@5 74.219 (74.819)
Epoch: [33][1570/14090]	Time 0.750 (0.773)	Data 0.001 (0.004)	Loss 2.1285 (2.2190)	Prec@1 42.969 (44.388)	Prec@5 78.125 (74.826)
Epoch: [33][1580/14090]	Time 0.739 (0.773)	Data 0.001 (0.004)	Loss 2.2514 (2.2194)	Prec@1 42.188 (44.379)	Prec@5 70.312 (74.814)
Epoch: [33][1590/14090]	Time 0.755 (0.773)	Data 0.001 (0.004)	Loss 2.1794 (2.2193)	Prec@1 45.312 (44.386)	Prec@5 74.219 (74.811)
Epoch: [33][1600/14090]	Time 0.757 (0.773)	Data 0.001 (0.004)	Loss 1.9907 (2.2194)	Prec@1 46.094 (44.384)	Prec@5 85.156 (74.813)
Epoch: [33][1610/14090]	Time 0.753 (0.773)	Data 0.001 (0.004)	Loss 2.3369 (2.2192)	Prec@1 42.969 (44.394)	Prec@5 71.875 (74.821)
Epoch: [33][1620/14090]	Time 0.732 (0.773)	Data 0.001 (0.004)	Loss 2.2075 (2.2193)	Prec@1 48.438 (44.393)	Prec@5 75.781 (74.821)
Epoch: [33][1630/14090]	Time 0.873 (0.773)	Data 0.001 (0.004)	Loss 2.3411 (2.2194)	Prec@1 42.188 (44.388)	Prec@5 76.562 (74.812)
Epoch: [33][1640/14090]	Time 0.738 (0.773)	Data 0.001 (0.004)	Loss 2.0578 (2.2191)	Prec@1 48.438 (44.390)	Prec@5 76.562 (74.814)
Epoch: [33][1650/14090]	Time 0.743 (0.773)	Data 0.001 (0.004)	Loss 2.1916 (2.2185)	Prec@1 39.062 (44.399)	Prec@5 74.219 (74.824)
Epoch: [33][1660/14090]	Time 0.753 (0.773)	Data 0.001 (0.004)	Loss 2.4027 (2.2183)	Prec@1 36.719 (44.400)	Prec@5 73.438 (74.825)
Epoch: [33][1670/14090]	Time 0.748 (0.773)	Data 0.001 (0.004)	Loss 2.0959 (2.2181)	Prec@1 42.188 (44.395)	Prec@5 81.250 (74.834)
Epoch: [33][1680/14090]	Time 0.721 (0.773)	Data 0.001 (0.004)	Loss 2.2723 (2.2182)	Prec@1 37.500 (44.391)	Prec@5 74.219 (74.826)
Epoch: [33][1690/14090]	Time 0.742 (0.773)	Data 0.001 (0.003)	Loss 2.1833 (2.2185)	Prec@1 45.312 (44.387)	Prec@5 74.219 (74.813)
Epoch: [33][1700/14090]	Time 0.862 (0.773)	Data 0.001 (0.003)	Loss 2.1499 (2.2183)	Prec@1 46.875 (44.391)	Prec@5 74.219 (74.816)
Epoch: [33][1710/14090]	Time 0.763 (0.773)	Data 0.001 (0.003)	Loss 2.3701 (2.2184)	Prec@1 43.750 (44.389)	Prec@5 70.312 (74.810)
Epoch: [33][1720/14090]	Time 0.751 (0.773)	Data 0.001 (0.003)	Loss 2.2417 (2.2181)	Prec@1 40.625 (44.395)	Prec@5 75.000 (74.812)
Epoch: [33][1730/14090]	Time 0.726 (0.773)	Data 0.001 (0.003)	Loss 2.2333 (2.2181)	Prec@1 49.219 (44.395)	Prec@5 75.781 (74.808)
Epoch: [33][1740/14090]	Time 0.762 (0.773)	Data 0.001 (0.003)	Loss 2.0339 (2.2181)	Prec@1 50.000 (44.393)	Prec@5 78.125 (74.812)
Epoch: [33][1750/14090]	Time 0.754 (0.773)	Data 0.001 (0.003)	Loss 2.6380 (2.2187)	Prec@1 35.938 (44.384)	Prec@5 70.312 (74.806)
Epoch: [33][1760/14090]	Time 0.726 (0.773)	Data 0.001 (0.003)	Loss 2.0442 (2.2184)	Prec@1 49.219 (44.395)	Prec@5 77.344 (74.816)
Epoch: [33][1770/14090]	Time 0.883 (0.773)	Data 0.001 (0.003)	Loss 2.2862 (2.2183)	Prec@1 35.938 (44.399)	Prec@5 76.562 (74.818)
Epoch: [33][1780/14090]	Time 0.736 (0.773)	Data 0.001 (0.003)	Loss 2.5539 (2.2187)	Prec@1 33.594 (44.386)	Prec@5 70.312 (74.818)
Epoch: [33][1790/14090]	Time 0.737 (0.773)	Data 0.001 (0.003)	Loss 2.2223 (2.2191)	Prec@1 46.094 (44.377)	Prec@5 72.656 (74.803)
Epoch: [33][1800/14090]	Time 0.756 (0.773)	Data 0.001 (0.003)	Loss 2.2664 (2.2194)	Prec@1 41.406 (44.377)	Prec@5 75.781 (74.795)
Epoch: [33][1810/14090]	Time 0.753 (0.773)	Data 0.001 (0.003)	Loss 2.1922 (2.2195)	Prec@1 46.875 (44.374)	Prec@5 71.094 (74.783)
Epoch: [33][1820/14090]	Time 0.752 (0.773)	Data 0.001 (0.003)	Loss 2.1037 (2.2193)	Prec@1 48.438 (44.382)	Prec@5 72.656 (74.786)
Epoch: [33][1830/14090]	Time 0.803 (0.773)	Data 0.001 (0.003)	Loss 2.1987 (2.2192)	Prec@1 45.312 (44.382)	Prec@5 73.438 (74.791)
Epoch: [33][1840/14090]	Time 0.897 (0.773)	Data 0.001 (0.003)	Loss 2.1886 (2.2193)	Prec@1 40.625 (44.372)	Prec@5 75.000 (74.791)
Epoch: [33][1850/14090]	Time 0.731 (0.773)	Data 0.001 (0.003)	Loss 2.0054 (2.2186)	Prec@1 42.969 (44.371)	Prec@5 79.688 (74.799)
Epoch: [33][1860/14090]	Time 0.733 (0.773)	Data 0.001 (0.003)	Loss 2.2897 (2.2183)	Prec@1 40.625 (44.381)	Prec@5 71.875 (74.802)
Epoch: [33][1870/14090]	Time 0.739 (0.773)	Data 0.001 (0.003)	Loss 2.2354 (2.2189)	Prec@1 39.062 (44.371)	Prec@5 76.562 (74.786)
Epoch: [33][1880/14090]	Time 0.758 (0.773)	Data 0.001 (0.003)	Loss 2.2955 (2.2195)	Prec@1 44.531 (44.357)	Prec@5 72.656 (74.780)
Epoch: [33][1890/14090]	Time 0.737 (0.773)	Data 0.001 (0.003)	Loss 2.3384 (2.2198)	Prec@1 44.531 (44.346)	Prec@5 71.875 (74.768)
Epoch: [33][1900/14090]	Time 0.749 (0.773)	Data 0.001 (0.003)	Loss 2.2861 (2.2203)	Prec@1 40.625 (44.334)	Prec@5 76.562 (74.761)
Epoch: [33][1910/14090]	Time 0.880 (0.773)	Data 0.001 (0.003)	Loss 2.3121 (2.2203)	Prec@1 45.312 (44.337)	Prec@5 72.656 (74.763)
Epoch: [33][1920/14090]	Time 0.742 (0.773)	Data 0.001 (0.003)	Loss 2.3468 (2.2205)	Prec@1 42.969 (44.339)	Prec@5 70.312 (74.751)
Epoch: [33][1930/14090]	Time 0.798 (0.773)	Data 0.001 (0.003)	Loss 2.1254 (2.2203)	Prec@1 47.656 (44.346)	Prec@5 77.344 (74.754)
Epoch: [33][1940/14090]	Time 0.752 (0.773)	Data 0.002 (0.003)	Loss 2.2828 (2.2207)	Prec@1 46.875 (44.345)	Prec@5 75.000 (74.749)
Epoch: [33][1950/14090]	Time 0.750 (0.773)	Data 0.001 (0.003)	Loss 2.2364 (2.2210)	Prec@1 42.188 (44.343)	Prec@5 75.781 (74.755)
Epoch: [33][1960/14090]	Time 0.730 (0.773)	Data 0.001 (0.003)	Loss 2.3277 (2.2210)	Prec@1 38.281 (44.343)	Prec@5 73.438 (74.758)
Epoch: [33][1970/14090]	Time 0.744 (0.773)	Data 0.001 (0.003)	Loss 2.2072 (2.2205)	Prec@1 42.188 (44.354)	Prec@5 78.125 (74.772)
Epoch: [33][1980/14090]	Time 0.866 (0.773)	Data 0.001 (0.003)	Loss 2.3497 (2.2202)	Prec@1 42.188 (44.352)	Prec@5 74.219 (74.782)
Epoch: [33][1990/14090]	Time 0.768 (0.773)	Data 0.001 (0.003)	Loss 2.1513 (2.2203)	Prec@1 45.312 (44.352)	Prec@5 80.469 (74.781)
Epoch: [33][2000/14090]	Time 0.757 (0.772)	Data 0.001 (0.003)	Loss 2.1815 (2.2207)	Prec@1 39.062 (44.340)	Prec@5 79.688 (74.779)
Epoch: [33][2010/14090]	Time 0.747 (0.773)	Data 0.001 (0.003)	Loss 2.2085 (2.2204)	Prec@1 40.625 (44.351)	Prec@5 73.438 (74.787)
Epoch: [33][2020/14090]	Time 0.734 (0.773)	Data 0.001 (0.003)	Loss 2.5865 (2.2208)	Prec@1 39.062 (44.343)	Prec@5 68.750 (74.780)
Epoch: [33][2030/14090]	Time 0.758 (0.773)	Data 0.001 (0.003)	Loss 1.9850 (2.2208)	Prec@1 46.094 (44.339)	Prec@5 78.906 (74.778)
Epoch: [33][2040/14090]	Time 0.751 (0.773)	Data 0.001 (0.003)	Loss 2.2684 (2.2207)	Prec@1 42.188 (44.339)	Prec@5 73.438 (74.780)
Epoch: [33][2050/14090]	Time 0.845 (0.773)	Data 0.001 (0.003)	Loss 2.2194 (2.2210)	Prec@1 40.625 (44.332)	Prec@5 71.875 (74.770)
Epoch: [33][2060/14090]	Time 0.758 (0.773)	Data 0.001 (0.003)	Loss 2.1067 (2.2209)	Prec@1 46.875 (44.327)	Prec@5 78.906 (74.777)
Epoch: [33][2070/14090]	Time 0.740 (0.773)	Data 0.001 (0.003)	Loss 2.1972 (2.2210)	Prec@1 36.719 (44.325)	Prec@5 69.531 (74.768)
Epoch: [33][2080/14090]	Time 0.779 (0.773)	Data 0.001 (0.003)	Loss 2.3575 (2.2209)	Prec@1 43.750 (44.328)	Prec@5 73.438 (74.774)
Epoch: [33][2090/14090]	Time 0.747 (0.773)	Data 0.001 (0.003)	Loss 2.3153 (2.2211)	Prec@1 41.406 (44.323)	Prec@5 71.875 (74.772)
Epoch: [33][2100/14090]	Time 0.763 (0.773)	Data 0.001 (0.003)	Loss 2.4990 (2.2213)	Prec@1 40.625 (44.318)	Prec@5 72.656 (74.769)
Epoch: [33][2110/14090]	Time 0.754 (0.772)	Data 0.001 (0.003)	Loss 2.3343 (2.2215)	Prec@1 42.188 (44.314)	Prec@5 71.875 (74.760)
Epoch: [33][2120/14090]	Time 0.880 (0.773)	Data 0.001 (0.003)	Loss 2.4980 (2.2217)	Prec@1 42.969 (44.307)	Prec@5 70.312 (74.752)
Epoch: [33][2130/14090]	Time 0.733 (0.772)	Data 0.001 (0.003)	Loss 1.8846 (2.2215)	Prec@1 53.906 (44.311)	Prec@5 77.344 (74.752)
Epoch: [33][2140/14090]	Time 0.748 (0.772)	Data 0.001 (0.003)	Loss 2.4291 (2.2221)	Prec@1 43.750 (44.302)	Prec@5 67.969 (74.737)
Epoch: [33][2150/14090]	Time 0.755 (0.772)	Data 0.001 (0.003)	Loss 1.8102 (2.2217)	Prec@1 53.906 (44.313)	Prec@5 81.250 (74.750)
Epoch: [33][2160/14090]	Time 0.737 (0.772)	Data 0.001 (0.003)	Loss 2.3982 (2.2214)	Prec@1 35.156 (44.315)	Prec@5 71.875 (74.756)
Epoch: [33][2170/14090]	Time 0.745 (0.772)	Data 0.001 (0.003)	Loss 2.1936 (2.2214)	Prec@1 48.438 (44.312)	Prec@5 75.000 (74.758)
Epoch: [33][2180/14090]	Time 0.743 (0.772)	Data 0.001 (0.003)	Loss 2.2616 (2.2215)	Prec@1 41.406 (44.315)	Prec@5 74.219 (74.761)
Epoch: [33][2190/14090]	Time 0.844 (0.772)	Data 0.001 (0.003)	Loss 2.3594 (2.2218)	Prec@1 42.969 (44.306)	Prec@5 75.000 (74.760)
Epoch: [33][2200/14090]	Time 0.739 (0.772)	Data 0.001 (0.003)	Loss 2.4020 (2.2221)	Prec@1 41.406 (44.305)	Prec@5 70.312 (74.751)
Epoch: [33][2210/14090]	Time 0.750 (0.772)	Data 0.001 (0.003)	Loss 2.2051 (2.2223)	Prec@1 48.438 (44.305)	Prec@5 72.656 (74.748)
Epoch: [33][2220/14090]	Time 0.752 (0.772)	Data 0.001 (0.003)	Loss 2.3375 (2.2220)	Prec@1 46.875 (44.309)	Prec@5 76.562 (74.754)
Epoch: [33][2230/14090]	Time 0.749 (0.772)	Data 0.001 (0.003)	Loss 2.1914 (2.2223)	Prec@1 42.188 (44.299)	Prec@5 77.344 (74.745)
Epoch: [33][2240/14090]	Time 0.739 (0.772)	Data 0.001 (0.003)	Loss 2.0953 (2.2226)	Prec@1 46.875 (44.292)	Prec@5 79.688 (74.736)
Epoch: [33][2250/14090]	Time 0.773 (0.772)	Data 0.001 (0.003)	Loss 2.3121 (2.2225)	Prec@1 47.656 (44.296)	Prec@5 74.219 (74.735)
Epoch: [33][2260/14090]	Time 0.871 (0.772)	Data 0.001 (0.003)	Loss 2.2189 (2.2223)	Prec@1 42.188 (44.292)	Prec@5 72.656 (74.741)
Epoch: [33][2270/14090]	Time 0.733 (0.772)	Data 0.001 (0.003)	Loss 2.3386 (2.2222)	Prec@1 42.969 (44.287)	Prec@5 75.000 (74.743)
Epoch: [33][2280/14090]	Time 0.743 (0.772)	Data 0.001 (0.003)	Loss 2.2128 (2.2223)	Prec@1 47.656 (44.290)	Prec@5 72.656 (74.741)
Epoch: [33][2290/14090]	Time 0.758 (0.772)	Data 0.001 (0.003)	Loss 2.6703 (2.2226)	Prec@1 31.250 (44.288)	Prec@5 74.219 (74.739)
Epoch: [33][2300/14090]	Time 0.746 (0.772)	Data 0.001 (0.003)	Loss 2.2849 (2.2224)	Prec@1 45.312 (44.293)	Prec@5 75.781 (74.746)
Epoch: [33][2310/14090]	Time 0.745 (0.772)	Data 0.001 (0.003)	Loss 2.1700 (2.2224)	Prec@1 42.188 (44.283)	Prec@5 80.469 (74.749)
Epoch: [33][2320/14090]	Time 0.751 (0.772)	Data 0.001 (0.003)	Loss 2.1690 (2.2224)	Prec@1 39.062 (44.277)	Prec@5 75.781 (74.751)
Epoch: [33][2330/14090]	Time 0.851 (0.772)	Data 0.001 (0.003)	Loss 2.3013 (2.2226)	Prec@1 40.625 (44.272)	Prec@5 71.094 (74.750)
Epoch: [33][2340/14090]	Time 0.735 (0.772)	Data 0.001 (0.003)	Loss 2.0763 (2.2223)	Prec@1 50.781 (44.273)	Prec@5 75.000 (74.757)
Epoch: [33][2350/14090]	Time 0.744 (0.772)	Data 0.001 (0.003)	Loss 2.3983 (2.2227)	Prec@1 44.531 (44.263)	Prec@5 72.656 (74.751)
Epoch: [33][2360/14090]	Time 0.744 (0.772)	Data 0.001 (0.003)	Loss 2.0547 (2.2225)	Prec@1 46.094 (44.261)	Prec@5 76.562 (74.752)
Epoch: [33][2370/14090]	Time 0.743 (0.772)	Data 0.001 (0.003)	Loss 2.1718 (2.2222)	Prec@1 44.531 (44.268)	Prec@5 77.344 (74.760)
Epoch: [33][2380/14090]	Time 0.749 (0.772)	Data 0.001 (0.003)	Loss 2.2422 (2.2224)	Prec@1 41.406 (44.263)	Prec@5 71.875 (74.757)
Epoch: [33][2390/14090]	Time 0.751 (0.772)	Data 0.001 (0.003)	Loss 2.2139 (2.2225)	Prec@1 50.000 (44.257)	Prec@5 71.094 (74.758)
Epoch: [33][2400/14090]	Time 0.883 (0.772)	Data 0.001 (0.003)	Loss 2.1520 (2.2223)	Prec@1 47.656 (44.260)	Prec@5 79.688 (74.762)
Epoch: [33][2410/14090]	Time 0.755 (0.772)	Data 0.001 (0.003)	Loss 2.1806 (2.2223)	Prec@1 43.750 (44.262)	Prec@5 75.781 (74.762)
Epoch: [33][2420/14090]	Time 0.741 (0.772)	Data 0.001 (0.003)	Loss 2.3320 (2.2223)	Prec@1 42.188 (44.260)	Prec@5 75.781 (74.768)
Epoch: [33][2430/14090]	Time 0.769 (0.772)	Data 0.001 (0.003)	Loss 2.0791 (2.2225)	Prec@1 46.875 (44.257)	Prec@5 78.125 (74.766)
Epoch: [33][2440/14090]	Time 0.775 (0.772)	Data 0.002 (0.003)	Loss 2.2116 (2.2224)	Prec@1 44.531 (44.254)	Prec@5 77.344 (74.771)
Epoch: [33][2450/14090]	Time 0.755 (0.772)	Data 0.001 (0.003)	Loss 2.5785 (2.2226)	Prec@1 38.281 (44.249)	Prec@5 65.625 (74.770)
Epoch: [33][2460/14090]	Time 0.744 (0.772)	Data 0.001 (0.003)	Loss 2.2121 (2.2226)	Prec@1 41.406 (44.247)	Prec@5 69.531 (74.770)
Epoch: [33][2470/14090]	Time 0.941 (0.772)	Data 0.001 (0.003)	Loss 2.1723 (2.2231)	Prec@1 49.219 (44.240)	Prec@5 73.438 (74.764)
Epoch: [33][2480/14090]	Time 0.758 (0.772)	Data 0.001 (0.003)	Loss 2.0499 (2.2232)	Prec@1 47.656 (44.237)	Prec@5 77.344 (74.762)
Epoch: [33][2490/14090]	Time 0.759 (0.772)	Data 0.001 (0.003)	Loss 2.3981 (2.2234)	Prec@1 41.406 (44.237)	Prec@5 71.094 (74.759)
Epoch: [33][2500/14090]	Time 0.738 (0.772)	Data 0.001 (0.003)	Loss 2.2424 (2.2236)	Prec@1 46.875 (44.236)	Prec@5 71.094 (74.757)
Epoch: [33][2510/14090]	Time 0.755 (0.772)	Data 0.001 (0.003)	Loss 2.2275 (2.2238)	Prec@1 39.844 (44.229)	Prec@5 75.000 (74.753)
Epoch: [33][2520/14090]	Time 0.732 (0.772)	Data 0.001 (0.003)	Loss 2.2475 (2.2238)	Prec@1 44.531 (44.239)	Prec@5 74.219 (74.757)
Epoch: [33][2530/14090]	Time 0.757 (0.772)	Data 0.001 (0.003)	Loss 2.1805 (2.2241)	Prec@1 46.875 (44.230)	Prec@5 76.562 (74.753)
Epoch: [33][2540/14090]	Time 0.910 (0.772)	Data 0.001 (0.003)	Loss 2.1861 (2.2238)	Prec@1 46.094 (44.233)	Prec@5 78.125 (74.760)
Epoch: [33][2550/14090]	Time 0.749 (0.772)	Data 0.001 (0.003)	Loss 2.4430 (2.2238)	Prec@1 43.750 (44.234)	Prec@5 70.312 (74.757)
Epoch: [33][2560/14090]	Time 0.748 (0.772)	Data 0.001 (0.003)	Loss 2.1484 (2.2242)	Prec@1 50.000 (44.230)	Prec@5 71.875 (74.752)
Epoch: [33][2570/14090]	Time 0.727 (0.772)	Data 0.001 (0.003)	Loss 2.0043 (2.2243)	Prec@1 50.000 (44.224)	Prec@5 77.344 (74.752)
Epoch: [33][2580/14090]	Time 0.758 (0.772)	Data 0.001 (0.003)	Loss 2.2145 (2.2242)	Prec@1 42.188 (44.227)	Prec@5 75.781 (74.750)
Epoch: [33][2590/14090]	Time 0.746 (0.772)	Data 0.001 (0.003)	Loss 2.3987 (2.2244)	Prec@1 43.750 (44.223)	Prec@5 72.656 (74.746)
Epoch: [33][2600/14090]	Time 0.749 (0.772)	Data 0.001 (0.003)	Loss 2.6233 (2.2251)	Prec@1 30.469 (44.208)	Prec@5 68.750 (74.732)
Epoch: [33][2610/14090]	Time 0.879 (0.772)	Data 0.001 (0.003)	Loss 2.0226 (2.2247)	Prec@1 44.531 (44.217)	Prec@5 76.562 (74.745)
Epoch: [33][2620/14090]	Time 0.739 (0.772)	Data 0.001 (0.003)	Loss 2.3047 (2.2250)	Prec@1 43.750 (44.208)	Prec@5 71.875 (74.740)
Epoch: [33][2630/14090]	Time 0.733 (0.772)	Data 0.001 (0.003)	Loss 1.9016 (2.2250)	Prec@1 46.875 (44.208)	Prec@5 79.688 (74.740)
Epoch: [33][2640/14090]	Time 0.740 (0.772)	Data 0.001 (0.003)	Loss 2.1331 (2.2248)	Prec@1 46.094 (44.211)	Prec@5 76.562 (74.746)
Epoch: [33][2650/14090]	Time 0.750 (0.772)	Data 0.001 (0.003)	Loss 2.3950 (2.2251)	Prec@1 37.500 (44.209)	Prec@5 68.750 (74.737)
Epoch: [33][2660/14090]	Time 0.735 (0.772)	Data 0.001 (0.003)	Loss 2.1111 (2.2253)	Prec@1 46.094 (44.209)	Prec@5 77.344 (74.735)
Epoch: [33][2670/14090]	Time 0.740 (0.771)	Data 0.001 (0.003)	Loss 2.0862 (2.2254)	Prec@1 47.656 (44.211)	Prec@5 74.219 (74.731)
Epoch: [33][2680/14090]	Time 0.979 (0.772)	Data 0.001 (0.003)	Loss 2.1702 (2.2253)	Prec@1 50.000 (44.217)	Prec@5 73.438 (74.733)
Epoch: [33][2690/14090]	Time 0.722 (0.772)	Data 0.001 (0.003)	Loss 2.1690 (2.2255)	Prec@1 50.000 (44.221)	Prec@5 73.438 (74.729)
Epoch: [33][2700/14090]	Time 0.755 (0.771)	Data 0.001 (0.003)	Loss 2.2305 (2.2255)	Prec@1 44.531 (44.215)	Prec@5 76.562 (74.728)
Epoch: [33][2710/14090]	Time 0.737 (0.772)	Data 0.001 (0.003)	Loss 2.3668 (2.2257)	Prec@1 42.188 (44.215)	Prec@5 73.438 (74.724)
Epoch: [33][2720/14090]	Time 0.738 (0.771)	Data 0.001 (0.003)	Loss 2.1122 (2.2257)	Prec@1 47.656 (44.211)	Prec@5 75.000 (74.729)
Epoch: [33][2730/14090]	Time 0.756 (0.772)	Data 0.001 (0.003)	Loss 1.9118 (2.2255)	Prec@1 50.000 (44.214)	Prec@5 78.906 (74.736)
Epoch: [33][2740/14090]	Time 0.748 (0.771)	Data 0.001 (0.002)	Loss 2.3762 (2.2256)	Prec@1 40.625 (44.209)	Prec@5 75.000 (74.737)
Epoch: [33][2750/14090]	Time 0.877 (0.771)	Data 0.001 (0.002)	Loss 2.0777 (2.2257)	Prec@1 45.312 (44.203)	Prec@5 77.344 (74.738)
Epoch: [33][2760/14090]	Time 0.733 (0.771)	Data 0.001 (0.002)	Loss 2.3055 (2.2258)	Prec@1 39.844 (44.200)	Prec@5 71.094 (74.736)
Epoch: [33][2770/14090]	Time 0.762 (0.771)	Data 0.001 (0.002)	Loss 2.3254 (2.2257)	Prec@1 46.875 (44.203)	Prec@5 75.781 (74.739)
Epoch: [33][2780/14090]	Time 0.749 (0.771)	Data 0.001 (0.002)	Loss 2.0267 (2.2253)	Prec@1 47.656 (44.208)	Prec@5 80.469 (74.744)
Epoch: [33][2790/14090]	Time 0.769 (0.771)	Data 0.001 (0.002)	Loss 1.9478 (2.2254)	Prec@1 47.656 (44.206)	Prec@5 82.812 (74.746)
Epoch: [33][2800/14090]	Time 0.726 (0.771)	Data 0.001 (0.002)	Loss 2.0129 (2.2254)	Prec@1 43.750 (44.210)	Prec@5 81.250 (74.750)
Epoch: [33][2810/14090]	Time 0.765 (0.771)	Data 0.001 (0.002)	Loss 2.1343 (2.2253)	Prec@1 46.875 (44.212)	Prec@5 71.875 (74.747)
Epoch: [33][2820/14090]	Time 0.871 (0.771)	Data 0.001 (0.002)	Loss 2.3203 (2.2251)	Prec@1 40.625 (44.218)	Prec@5 74.219 (74.751)
Epoch: [33][2830/14090]	Time 0.745 (0.771)	Data 0.001 (0.002)	Loss 2.4144 (2.2255)	Prec@1 36.719 (44.211)	Prec@5 71.875 (74.747)
Epoch: [33][2840/14090]	Time 0.781 (0.771)	Data 0.001 (0.002)	Loss 2.5653 (2.2251)	Prec@1 35.156 (44.222)	Prec@5 70.312 (74.754)
Epoch: [33][2850/14090]	Time 0.727 (0.771)	Data 0.001 (0.002)	Loss 2.0918 (2.2251)	Prec@1 50.000 (44.230)	Prec@5 80.469 (74.755)
Epoch: [33][2860/14090]	Time 0.771 (0.771)	Data 0.001 (0.002)	Loss 2.2792 (2.2253)	Prec@1 43.750 (44.228)	Prec@5 71.875 (74.749)
Epoch: [33][2870/14090]	Time 0.744 (0.771)	Data 0.001 (0.002)	Loss 2.2069 (2.2253)	Prec@1 42.188 (44.231)	Prec@5 78.906 (74.751)
Epoch: [33][2880/14090]	Time 0.728 (0.771)	Data 0.001 (0.002)	Loss 2.2772 (2.2253)	Prec@1 44.531 (44.226)	Prec@5 73.438 (74.753)
Epoch: [33][2890/14090]	Time 0.869 (0.772)	Data 0.001 (0.002)	Loss 2.0774 (2.2251)	Prec@1 46.094 (44.230)	Prec@5 75.000 (74.754)
Epoch: [33][2900/14090]	Time 0.750 (0.772)	Data 0.001 (0.002)	Loss 2.4874 (2.2255)	Prec@1 37.500 (44.219)	Prec@5 73.438 (74.746)
Epoch: [33][2910/14090]	Time 0.742 (0.772)	Data 0.001 (0.002)	Loss 2.3813 (2.2258)	Prec@1 44.531 (44.219)	Prec@5 68.750 (74.742)
Epoch: [33][2920/14090]	Time 0.776 (0.772)	Data 0.001 (0.002)	Loss 2.2162 (2.2259)	Prec@1 45.312 (44.222)	Prec@5 74.219 (74.736)
Epoch: [33][2930/14090]	Time 0.761 (0.772)	Data 0.001 (0.002)	Loss 2.0155 (2.2262)	Prec@1 44.531 (44.218)	Prec@5 71.094 (74.728)
Epoch: [33][2940/14090]	Time 0.753 (0.772)	Data 0.001 (0.002)	Loss 2.3779 (2.2265)	Prec@1 50.781 (44.219)	Prec@5 78.125 (74.722)
Epoch: [33][2950/14090]	Time 0.753 (0.772)	Data 0.001 (0.002)	Loss 2.5319 (2.2263)	Prec@1 35.938 (44.219)	Prec@5 70.312 (74.727)
Epoch: [33][2960/14090]	Time 0.882 (0.772)	Data 0.001 (0.002)	Loss 2.1391 (2.2263)	Prec@1 44.531 (44.218)	Prec@5 77.344 (74.729)
Epoch: [33][2970/14090]	Time 0.746 (0.772)	Data 0.001 (0.002)	Loss 2.3716 (2.2265)	Prec@1 44.531 (44.216)	Prec@5 71.094 (74.724)
Epoch: [33][2980/14090]	Time 0.728 (0.772)	Data 0.001 (0.002)	Loss 2.1098 (2.2264)	Prec@1 40.625 (44.214)	Prec@5 75.000 (74.722)
Epoch: [33][2990/14090]	Time 0.763 (0.772)	Data 0.001 (0.002)	Loss 2.2422 (2.2264)	Prec@1 45.312 (44.210)	Prec@5 73.438 (74.720)
Epoch: [33][3000/14090]	Time 0.760 (0.772)	Data 0.001 (0.002)	Loss 2.1588 (2.2267)	Prec@1 48.438 (44.204)	Prec@5 77.344 (74.718)
Epoch: [33][3010/14090]	Time 0.765 (0.772)	Data 0.001 (0.002)	Loss 2.3678 (2.2267)	Prec@1 39.062 (44.205)	Prec@5 77.344 (74.721)
Epoch: [33][3020/14090]	Time 0.740 (0.772)	Data 0.001 (0.002)	Loss 2.0769 (2.2265)	Prec@1 46.875 (44.205)	Prec@5 76.562 (74.724)
Epoch: [33][3030/14090]	Time 0.858 (0.772)	Data 0.001 (0.002)	Loss 2.0960 (2.2265)	Prec@1 46.875 (44.208)	Prec@5 78.906 (74.725)
Epoch: [33][3040/14090]	Time 0.751 (0.771)	Data 0.001 (0.002)	Loss 2.0509 (2.2263)	Prec@1 45.312 (44.206)	Prec@5 78.906 (74.724)
Epoch: [33][3050/14090]	Time 0.737 (0.771)	Data 0.001 (0.002)	Loss 2.1014 (2.2261)	Prec@1 49.219 (44.213)	Prec@5 77.344 (74.731)
Epoch: [33][3060/14090]	Time 0.748 (0.771)	Data 0.001 (0.002)	Loss 2.1920 (2.2262)	Prec@1 46.875 (44.210)	Prec@5 75.781 (74.729)
Epoch: [33][3070/14090]	Time 0.735 (0.771)	Data 0.001 (0.002)	Loss 2.2810 (2.2260)	Prec@1 46.875 (44.214)	Prec@5 71.875 (74.732)
Epoch: [33][3080/14090]	Time 0.735 (0.771)	Data 0.001 (0.002)	Loss 2.0684 (2.2259)	Prec@1 45.312 (44.207)	Prec@5 78.906 (74.736)
Epoch: [33][3090/14090]	Time 0.745 (0.771)	Data 0.001 (0.002)	Loss 2.5084 (2.2258)	Prec@1 35.938 (44.211)	Prec@5 73.438 (74.738)
Epoch: [33][3100/14090]	Time 0.842 (0.771)	Data 0.001 (0.002)	Loss 2.1047 (2.2260)	Prec@1 46.875 (44.207)	Prec@5 75.781 (74.737)
Epoch: [33][3110/14090]	Time 0.737 (0.771)	Data 0.001 (0.002)	Loss 2.3367 (2.2259)	Prec@1 41.406 (44.207)	Prec@5 69.531 (74.737)
Epoch: [33][3120/14090]	Time 0.757 (0.771)	Data 0.002 (0.002)	Loss 2.2275 (2.2259)	Prec@1 46.875 (44.207)	Prec@5 69.531 (74.736)
Epoch: [33][3130/14090]	Time 0.762 (0.771)	Data 0.001 (0.002)	Loss 2.4288 (2.2260)	Prec@1 43.750 (44.203)	Prec@5 71.094 (74.739)
Epoch: [33][3140/14090]	Time 0.716 (0.771)	Data 0.001 (0.002)	Loss 2.1385 (2.2263)	Prec@1 50.000 (44.203)	Prec@5 75.781 (74.737)
Epoch: [33][3150/14090]	Time 0.755 (0.771)	Data 0.001 (0.002)	Loss 2.3745 (2.2263)	Prec@1 39.062 (44.204)	Prec@5 73.438 (74.733)
Epoch: [33][3160/14090]	Time 0.750 (0.771)	Data 0.001 (0.002)	Loss 2.5390 (2.2265)	Prec@1 35.156 (44.203)	Prec@5 69.531 (74.726)
Epoch: [33][3170/14090]	Time 0.862 (0.771)	Data 0.001 (0.002)	Loss 2.0857 (2.2269)	Prec@1 46.094 (44.195)	Prec@5 78.906 (74.722)
Epoch: [33][3180/14090]	Time 0.723 (0.771)	Data 0.001 (0.002)	Loss 2.1570 (2.2268)	Prec@1 45.312 (44.201)	Prec@5 78.125 (74.722)
Epoch: [33][3190/14090]	Time 0.753 (0.771)	Data 0.001 (0.002)	Loss 2.1615 (2.2268)	Prec@1 50.781 (44.204)	Prec@5 75.781 (74.724)
Epoch: [33][3200/14090]	Time 0.792 (0.771)	Data 0.001 (0.002)	Loss 2.2865 (2.2268)	Prec@1 39.062 (44.205)	Prec@5 71.875 (74.725)
Epoch: [33][3210/14090]	Time 0.755 (0.771)	Data 0.001 (0.002)	Loss 2.2718 (2.2270)	Prec@1 40.625 (44.196)	Prec@5 75.781 (74.725)
Epoch: [33][3220/14090]	Time 0.746 (0.771)	Data 0.001 (0.002)	Loss 2.2267 (2.2269)	Prec@1 42.969 (44.205)	Prec@5 78.906 (74.726)
Epoch: [33][3230/14090]	Time 0.733 (0.771)	Data 0.001 (0.002)	Loss 2.5459 (2.2270)	Prec@1 38.281 (44.201)	Prec@5 67.969 (74.723)
Epoch: [33][3240/14090]	Time 0.934 (0.771)	Data 0.001 (0.002)	Loss 2.1426 (2.2269)	Prec@1 44.531 (44.200)	Prec@5 78.125 (74.726)
Epoch: [33][3250/14090]	Time 0.715 (0.771)	Data 0.001 (0.002)	Loss 2.3626 (2.2268)	Prec@1 35.156 (44.199)	Prec@5 71.875 (74.726)
Epoch: [33][3260/14090]	Time 0.746 (0.771)	Data 0.001 (0.002)	Loss 2.2136 (2.2270)	Prec@1 46.094 (44.202)	Prec@5 75.000 (74.726)
Epoch: [33][3270/14090]	Time 0.748 (0.771)	Data 0.001 (0.002)	Loss 2.2550 (2.2268)	Prec@1 44.531 (44.203)	Prec@5 74.219 (74.721)
Epoch: [33][3280/14090]	Time 0.745 (0.771)	Data 0.001 (0.002)	Loss 2.1802 (2.2267)	Prec@1 44.531 (44.207)	Prec@5 73.438 (74.725)
Epoch: [33][3290/14090]	Time 0.739 (0.771)	Data 0.001 (0.002)	Loss 2.1684 (2.2269)	Prec@1 42.188 (44.203)	Prec@5 75.000 (74.722)
Epoch: [33][3300/14090]	Time 0.761 (0.771)	Data 0.001 (0.002)	Loss 2.4343 (2.2269)	Prec@1 39.062 (44.205)	Prec@5 75.000 (74.719)
Epoch: [33][3310/14090]	Time 0.860 (0.771)	Data 0.001 (0.002)	Loss 2.3890 (2.2271)	Prec@1 43.750 (44.199)	Prec@5 74.219 (74.716)
Epoch: [33][3320/14090]	Time 0.754 (0.771)	Data 0.001 (0.002)	Loss 2.2370 (2.2270)	Prec@1 42.188 (44.194)	Prec@5 73.438 (74.720)
Epoch: [33][3330/14090]	Time 0.759 (0.771)	Data 0.001 (0.002)	Loss 2.3035 (2.2272)	Prec@1 42.969 (44.191)	Prec@5 74.219 (74.718)
Epoch: [33][3340/14090]	Time 0.745 (0.771)	Data 0.001 (0.002)	Loss 2.4977 (2.2274)	Prec@1 37.500 (44.181)	Prec@5 67.969 (74.715)
Epoch: [33][3350/14090]	Time 0.749 (0.771)	Data 0.001 (0.002)	Loss 2.1004 (2.2275)	Prec@1 42.969 (44.180)	Prec@5 76.562 (74.710)
Epoch: [33][3360/14090]	Time 0.737 (0.771)	Data 0.001 (0.002)	Loss 1.9240 (2.2275)	Prec@1 43.750 (44.180)	Prec@5 80.469 (74.711)
Epoch: [33][3370/14090]	Time 0.726 (0.771)	Data 0.001 (0.002)	Loss 2.2702 (2.2275)	Prec@1 40.625 (44.180)	Prec@5 78.906 (74.711)
Epoch: [33][3380/14090]	Time 0.863 (0.771)	Data 0.001 (0.002)	Loss 2.1247 (2.2272)	Prec@1 49.219 (44.186)	Prec@5 75.000 (74.715)
Epoch: [33][3390/14090]	Time 0.773 (0.771)	Data 0.001 (0.002)	Loss 2.3451 (2.2270)	Prec@1 42.188 (44.182)	Prec@5 75.000 (74.716)
Epoch: [33][3400/14090]	Time 0.733 (0.771)	Data 0.001 (0.002)	Loss 2.0332 (2.2269)	Prec@1 53.125 (44.184)	Prec@5 75.781 (74.716)
Epoch: [33][3410/14090]	Time 0.738 (0.771)	Data 0.001 (0.002)	Loss 2.2474 (2.2270)	Prec@1 45.312 (44.186)	Prec@5 74.219 (74.713)
Epoch: [33][3420/14090]	Time 0.774 (0.771)	Data 0.001 (0.002)	Loss 2.2116 (2.2269)	Prec@1 45.312 (44.187)	Prec@5 74.219 (74.717)
Epoch: [33][3430/14090]	Time 0.751 (0.771)	Data 0.001 (0.002)	Loss 2.2116 (2.2269)	Prec@1 37.500 (44.191)	Prec@5 72.656 (74.719)
Epoch: [33][3440/14090]	Time 0.740 (0.771)	Data 0.001 (0.002)	Loss 2.4092 (2.2271)	Prec@1 43.750 (44.187)	Prec@5 72.656 (74.717)
Epoch: [33][3450/14090]	Time 0.858 (0.771)	Data 0.001 (0.002)	Loss 1.9654 (2.2269)	Prec@1 46.875 (44.189)	Prec@5 80.469 (74.719)
Epoch: [33][3460/14090]	Time 0.735 (0.771)	Data 0.001 (0.002)	Loss 1.9281 (2.2267)	Prec@1 46.875 (44.194)	Prec@5 78.906 (74.718)
Epoch: [33][3470/14090]	Time 0.771 (0.771)	Data 0.001 (0.002)	Loss 2.1940 (2.2267)	Prec@1 43.750 (44.189)	Prec@5 76.562 (74.716)
Epoch: [33][3480/14090]	Time 0.781 (0.771)	Data 0.001 (0.002)	Loss 2.1875 (2.2267)	Prec@1 46.875 (44.189)	Prec@5 74.219 (74.720)
Epoch: [33][3490/14090]	Time 0.769 (0.771)	Data 0.005 (0.002)	Loss 2.4318 (2.2267)	Prec@1 41.406 (44.193)	Prec@5 71.875 (74.719)
Epoch: [33][3500/14090]	Time 0.755 (0.771)	Data 0.001 (0.002)	Loss 2.0511 (2.2265)	Prec@1 46.875 (44.196)	Prec@5 76.562 (74.720)
Epoch: [33][3510/14090]	Time 0.728 (0.771)	Data 0.001 (0.002)	Loss 2.3853 (2.2264)	Prec@1 39.062 (44.195)	Prec@5 67.969 (74.720)
Epoch: [33][3520/14090]	Time 0.900 (0.771)	Data 0.003 (0.002)	Loss 2.1511 (2.2265)	Prec@1 46.875 (44.196)	Prec@5 73.438 (74.718)
Epoch: [33][3530/14090]	Time 0.776 (0.771)	Data 0.001 (0.002)	Loss 2.2437 (2.2265)	Prec@1 43.750 (44.195)	Prec@5 75.000 (74.723)
Epoch: [33][3540/14090]	Time 0.766 (0.771)	Data 0.001 (0.002)	Loss 2.1279 (2.2264)	Prec@1 44.531 (44.198)	Prec@5 76.562 (74.724)
Epoch: [33][3550/14090]	Time 0.743 (0.771)	Data 0.001 (0.002)	Loss 2.0461 (2.2262)	Prec@1 51.562 (44.202)	Prec@5 76.562 (74.729)
Epoch: [33][3560/14090]	Time 0.755 (0.771)	Data 0.001 (0.002)	Loss 1.8167 (2.2260)	Prec@1 52.344 (44.210)	Prec@5 78.906 (74.729)
Epoch: [33][3570/14090]	Time 0.735 (0.771)	Data 0.001 (0.002)	Loss 1.9632 (2.2259)	Prec@1 46.094 (44.214)	Prec@5 78.906 (74.730)
Epoch: [33][3580/14090]	Time 0.760 (0.771)	Data 0.001 (0.002)	Loss 2.2481 (2.2262)	Prec@1 41.406 (44.206)	Prec@5 75.000 (74.724)
Epoch: [33][3590/14090]	Time 0.850 (0.771)	Data 0.001 (0.002)	Loss 2.2396 (2.2263)	Prec@1 38.281 (44.202)	Prec@5 77.344 (74.726)
Epoch: [33][3600/14090]	Time 0.727 (0.771)	Data 0.002 (0.002)	Loss 2.1135 (2.2262)	Prec@1 48.438 (44.199)	Prec@5 77.344 (74.729)
Epoch: [33][3610/14090]	Time 0.768 (0.771)	Data 0.001 (0.002)	Loss 2.3063 (2.2261)	Prec@1 40.625 (44.199)	Prec@5 75.781 (74.733)
Epoch: [33][3620/14090]	Time 0.739 (0.771)	Data 0.001 (0.002)	Loss 2.1200 (2.2260)	Prec@1 42.969 (44.198)	Prec@5 78.906 (74.737)
Epoch: [33][3630/14090]	Time 0.764 (0.771)	Data 0.001 (0.002)	Loss 2.2461 (2.2259)	Prec@1 46.094 (44.202)	Prec@5 72.656 (74.734)
Epoch: [33][3640/14090]	Time 0.729 (0.771)	Data 0.001 (0.002)	Loss 2.2402 (2.2258)	Prec@1 43.750 (44.203)	Prec@5 74.219 (74.735)
Epoch: [33][3650/14090]	Time 0.757 (0.771)	Data 0.001 (0.002)	Loss 2.5448 (2.2256)	Prec@1 32.031 (44.209)	Prec@5 68.750 (74.737)
Epoch: [33][3660/14090]	Time 0.866 (0.771)	Data 0.001 (0.002)	Loss 2.6976 (2.2257)	Prec@1 38.281 (44.208)	Prec@5 59.375 (74.736)
Epoch: [33][3670/14090]	Time 0.737 (0.771)	Data 0.001 (0.002)	Loss 2.0151 (2.2256)	Prec@1 48.438 (44.207)	Prec@5 82.812 (74.739)
Epoch: [33][3680/14090]	Time 0.733 (0.771)	Data 0.001 (0.002)	Loss 1.9646 (2.2255)	Prec@1 47.656 (44.208)	Prec@5 81.250 (74.737)
Epoch: [33][3690/14090]	Time 0.726 (0.771)	Data 0.001 (0.002)	Loss 2.3330 (2.2257)	Prec@1 42.188 (44.207)	Prec@5 71.094 (74.735)
Epoch: [33][3700/14090]	Time 0.727 (0.771)	Data 0.001 (0.002)	Loss 2.2503 (2.2258)	Prec@1 43.750 (44.205)	Prec@5 75.781 (74.736)
Epoch: [33][3710/14090]	Time 0.778 (0.771)	Data 0.001 (0.002)	Loss 2.5911 (2.2256)	Prec@1 38.281 (44.209)	Prec@5 70.312 (74.740)
Epoch: [33][3720/14090]	Time 0.734 (0.771)	Data 0.001 (0.002)	Loss 1.9922 (2.2257)	Prec@1 50.000 (44.206)	Prec@5 77.344 (74.736)
Epoch: [33][3730/14090]	Time 0.929 (0.771)	Data 0.001 (0.002)	Loss 2.4541 (2.2256)	Prec@1 39.062 (44.213)	Prec@5 68.750 (74.736)
Epoch: [33][3740/14090]	Time 0.734 (0.771)	Data 0.001 (0.002)	Loss 2.1564 (2.2256)	Prec@1 46.094 (44.210)	Prec@5 75.781 (74.738)
Epoch: [33][3750/14090]	Time 0.770 (0.771)	Data 0.001 (0.002)	Loss 1.6311 (2.2255)	Prec@1 54.688 (44.211)	Prec@5 85.156 (74.740)
Epoch: [33][3760/14090]	Time 0.746 (0.771)	Data 0.001 (0.002)	Loss 2.1300 (2.2256)	Prec@1 42.969 (44.204)	Prec@5 74.219 (74.739)
Epoch: [33][3770/14090]	Time 0.763 (0.771)	Data 0.001 (0.002)	Loss 2.5182 (2.2256)	Prec@1 39.062 (44.209)	Prec@5 69.531 (74.740)
Epoch: [33][3780/14090]	Time 0.735 (0.771)	Data 0.001 (0.002)	Loss 2.0997 (2.2256)	Prec@1 41.406 (44.211)	Prec@5 78.125 (74.740)
Epoch: [33][3790/14090]	Time 0.761 (0.771)	Data 0.001 (0.002)	Loss 2.2791 (2.2257)	Prec@1 45.312 (44.205)	Prec@5 71.875 (74.738)
Epoch: [33][3800/14090]	Time 0.889 (0.771)	Data 0.001 (0.002)	Loss 2.1999 (2.2255)	Prec@1 43.750 (44.206)	Prec@5 75.781 (74.745)
Epoch: [33][3810/14090]	Time 0.771 (0.771)	Data 0.001 (0.002)	Loss 2.1857 (2.2258)	Prec@1 47.656 (44.197)	Prec@5 71.875 (74.740)
Epoch: [33][3820/14090]	Time 0.735 (0.771)	Data 0.001 (0.002)	Loss 2.2809 (2.2258)	Prec@1 40.625 (44.197)	Prec@5 74.219 (74.738)
Epoch: [33][3830/14090]	Time 0.762 (0.771)	Data 0.001 (0.002)	Loss 2.2882 (2.2260)	Prec@1 42.188 (44.195)	Prec@5 70.312 (74.733)
Epoch: [33][3840/14090]	Time 0.765 (0.771)	Data 0.001 (0.002)	Loss 2.5844 (2.2260)	Prec@1 37.500 (44.193)	Prec@5 70.312 (74.733)
Epoch: [33][3850/14090]	Time 0.752 (0.771)	Data 0.001 (0.002)	Loss 2.2813 (2.2261)	Prec@1 38.281 (44.191)	Prec@5 78.125 (74.732)
Epoch: [33][3860/14090]	Time 0.737 (0.771)	Data 0.001 (0.002)	Loss 2.3554 (2.2261)	Prec@1 42.969 (44.193)	Prec@5 72.656 (74.733)
Epoch: [33][3870/14090]	Time 1.055 (0.771)	Data 0.001 (0.002)	Loss 2.4297 (2.2261)	Prec@1 39.062 (44.191)	Prec@5 70.312 (74.733)
Epoch: [33][3880/14090]	Time 0.731 (0.771)	Data 0.001 (0.002)	Loss 2.0789 (2.2262)	Prec@1 49.219 (44.186)	Prec@5 78.125 (74.733)
Epoch: [33][3890/14090]	Time 0.750 (0.771)	Data 0.001 (0.002)	Loss 2.2411 (2.2260)	Prec@1 47.656 (44.190)	Prec@5 71.094 (74.737)
Epoch: [33][3900/14090]	Time 0.730 (0.771)	Data 0.001 (0.002)	Loss 2.0933 (2.2259)	Prec@1 45.312 (44.188)	Prec@5 75.781 (74.738)
Epoch: [33][3910/14090]	Time 0.743 (0.771)	Data 0.001 (0.002)	Loss 2.4181 (2.2260)	Prec@1 38.281 (44.190)	Prec@5 74.219 (74.739)
Epoch: [33][3920/14090]	Time 0.749 (0.771)	Data 0.001 (0.002)	Loss 2.3511 (2.2261)	Prec@1 38.281 (44.190)	Prec@5 76.562 (74.737)
Epoch: [33][3930/14090]	Time 0.747 (0.771)	Data 0.001 (0.002)	Loss 2.3161 (2.2263)	Prec@1 42.188 (44.186)	Prec@5 73.438 (74.737)
Epoch: [33][3940/14090]	Time 1.005 (0.771)	Data 0.001 (0.002)	Loss 2.1760 (2.2264)	Prec@1 35.938 (44.178)	Prec@5 78.125 (74.735)
Epoch: [33][3950/14090]	Time 0.731 (0.771)	Data 0.001 (0.002)	Loss 2.2466 (2.2266)	Prec@1 39.844 (44.175)	Prec@5 75.781 (74.730)
Epoch: [33][3960/14090]	Time 0.743 (0.771)	Data 0.001 (0.002)	Loss 2.2514 (2.2267)	Prec@1 40.625 (44.174)	Prec@5 71.094 (74.729)
Epoch: [33][3970/14090]	Time 0.753 (0.771)	Data 0.001 (0.002)	Loss 2.4659 (2.2267)	Prec@1 36.719 (44.174)	Prec@5 70.312 (74.730)
Epoch: [33][3980/14090]	Time 0.734 (0.771)	Data 0.001 (0.002)	Loss 2.1821 (2.2269)	Prec@1 42.188 (44.172)	Prec@5 74.219 (74.728)
Epoch: [33][3990/14090]	Time 0.776 (0.771)	Data 0.001 (0.002)	Loss 2.0515 (2.2270)	Prec@1 46.094 (44.168)	Prec@5 78.125 (74.731)
Epoch: [33][4000/14090]	Time 0.759 (0.771)	Data 0.001 (0.002)	Loss 2.3169 (2.2270)	Prec@1 39.844 (44.170)	Prec@5 76.562 (74.733)
Epoch: [33][4010/14090]	Time 0.895 (0.771)	Data 0.001 (0.002)	Loss 2.3167 (2.2270)	Prec@1 42.969 (44.169)	Prec@5 67.969 (74.733)
Epoch: [33][4020/14090]	Time 0.752 (0.771)	Data 0.001 (0.002)	Loss 2.2734 (2.2270)	Prec@1 41.406 (44.167)	Prec@5 77.344 (74.729)
Epoch: [33][4030/14090]	Time 0.748 (0.771)	Data 0.001 (0.002)	Loss 1.9864 (2.2271)	Prec@1 52.344 (44.167)	Prec@5 78.906 (74.728)
Epoch: [33][4040/14090]	Time 0.717 (0.771)	Data 0.001 (0.002)	Loss 2.2113 (2.2272)	Prec@1 46.094 (44.165)	Prec@5 75.000 (74.728)
Epoch: [33][4050/14090]	Time 0.748 (0.771)	Data 0.001 (0.002)	Loss 2.3601 (2.2270)	Prec@1 43.750 (44.165)	Prec@5 72.656 (74.730)
Epoch: [33][4060/14090]	Time 0.758 (0.771)	Data 0.001 (0.002)	Loss 2.2621 (2.2271)	Prec@1 45.312 (44.166)	Prec@5 76.562 (74.728)
Epoch: [33][4070/14090]	Time 0.761 (0.771)	Data 0.001 (0.002)	Loss 2.2076 (2.2272)	Prec@1 46.875 (44.167)	Prec@5 75.000 (74.729)
Epoch: [33][4080/14090]	Time 0.935 (0.771)	Data 0.001 (0.002)	Loss 2.0382 (2.2269)	Prec@1 46.094 (44.169)	Prec@5 78.125 (74.734)
Epoch: [33][4090/14090]	Time 0.750 (0.771)	Data 0.001 (0.002)	Loss 2.1853 (2.2268)	Prec@1 42.188 (44.170)	Prec@5 78.125 (74.735)
Epoch: [33][4100/14090]	Time 0.742 (0.771)	Data 0.001 (0.002)	Loss 2.2057 (2.2271)	Prec@1 42.188 (44.164)	Prec@5 71.094 (74.733)
Epoch: [33][4110/14090]	Time 0.762 (0.771)	Data 0.001 (0.002)	Loss 2.3196 (2.2271)	Prec@1 46.094 (44.164)	Prec@5 74.219 (74.731)
Epoch: [33][4120/14090]	Time 0.744 (0.771)	Data 0.001 (0.002)	Loss 2.2800 (2.2271)	Prec@1 39.844 (44.163)	Prec@5 74.219 (74.729)
Epoch: [33][4130/14090]	Time 0.734 (0.771)	Data 0.002 (0.002)	Loss 2.2984 (2.2269)	Prec@1 45.312 (44.167)	Prec@5 73.438 (74.733)
Epoch: [33][4140/14090]	Time 0.735 (0.771)	Data 0.001 (0.002)	Loss 2.2902 (2.2268)	Prec@1 46.094 (44.170)	Prec@5 71.875 (74.734)
Epoch: [33][4150/14090]	Time 0.885 (0.771)	Data 0.001 (0.002)	Loss 2.2271 (2.2269)	Prec@1 36.719 (44.165)	Prec@5 72.656 (74.733)
Epoch: [33][4160/14090]	Time 0.771 (0.771)	Data 0.001 (0.002)	Loss 2.1377 (2.2268)	Prec@1 49.219 (44.169)	Prec@5 75.000 (74.734)
Epoch: [33][4170/14090]	Time 0.777 (0.771)	Data 0.001 (0.002)	Loss 2.0524 (2.2266)	Prec@1 42.188 (44.174)	Prec@5 78.125 (74.740)
Epoch: [33][4180/14090]	Time 0.747 (0.771)	Data 0.001 (0.002)	Loss 2.4453 (2.2269)	Prec@1 32.812 (44.169)	Prec@5 68.750 (74.732)
Epoch: [33][4190/14090]	Time 0.785 (0.771)	Data 0.001 (0.002)	Loss 2.3730 (2.2269)	Prec@1 42.188 (44.164)	Prec@5 71.094 (74.731)
Epoch: [33][4200/14090]	Time 0.731 (0.771)	Data 0.001 (0.002)	Loss 2.2011 (2.2268)	Prec@1 46.875 (44.163)	Prec@5 76.562 (74.736)
Epoch: [33][4210/14090]	Time 0.751 (0.771)	Data 0.001 (0.002)	Loss 1.9462 (2.2268)	Prec@1 46.875 (44.160)	Prec@5 79.688 (74.737)
Epoch: [33][4220/14090]	Time 0.836 (0.771)	Data 0.001 (0.002)	Loss 2.0227 (2.2267)	Prec@1 48.438 (44.165)	Prec@5 78.906 (74.741)
Epoch: [33][4230/14090]	Time 0.747 (0.771)	Data 0.001 (0.002)	Loss 2.1789 (2.2266)	Prec@1 48.438 (44.167)	Prec@5 76.562 (74.744)
Epoch: [33][4240/14090]	Time 0.748 (0.771)	Data 0.001 (0.002)	Loss 2.1088 (2.2266)	Prec@1 41.406 (44.166)	Prec@5 77.344 (74.744)
Epoch: [33][4250/14090]	Time 0.739 (0.771)	Data 0.001 (0.002)	Loss 2.3910 (2.2267)	Prec@1 45.312 (44.168)	Prec@5 71.094 (74.743)
Epoch: [33][4260/14090]	Time 0.765 (0.771)	Data 0.001 (0.002)	Loss 2.2864 (2.2269)	Prec@1 42.969 (44.167)	Prec@5 72.656 (74.740)
Epoch: [33][4270/14090]	Time 0.759 (0.771)	Data 0.001 (0.002)	Loss 2.1853 (2.2269)	Prec@1 45.312 (44.170)	Prec@5 75.781 (74.741)
Epoch: [33][4280/14090]	Time 0.731 (0.771)	Data 0.001 (0.002)	Loss 2.0530 (2.2269)	Prec@1 49.219 (44.172)	Prec@5 77.344 (74.739)
Epoch: [33][4290/14090]	Time 0.918 (0.771)	Data 0.001 (0.002)	Loss 2.3563 (2.2271)	Prec@1 39.844 (44.172)	Prec@5 75.000 (74.736)
Epoch: [33][4300/14090]	Time 0.754 (0.771)	Data 0.001 (0.002)	Loss 2.2667 (2.2271)	Prec@1 40.625 (44.173)	Prec@5 70.312 (74.740)
Epoch: [33][4310/14090]	Time 0.738 (0.771)	Data 0.001 (0.002)	Loss 2.0614 (2.2270)	Prec@1 47.656 (44.176)	Prec@5 81.250 (74.747)
Epoch: [33][4320/14090]	Time 0.742 (0.771)	Data 0.002 (0.002)	Loss 2.3143 (2.2268)	Prec@1 46.094 (44.180)	Prec@5 75.000 (74.749)
Epoch: [33][4330/14090]	Time 0.760 (0.771)	Data 0.001 (0.002)	Loss 2.2542 (2.2267)	Prec@1 44.531 (44.184)	Prec@5 75.000 (74.750)
Epoch: [33][4340/14090]	Time 0.745 (0.771)	Data 0.001 (0.002)	Loss 2.4301 (2.2267)	Prec@1 41.406 (44.178)	Prec@5 72.656 (74.753)
Epoch: [33][4350/14090]	Time 0.742 (0.771)	Data 0.001 (0.002)	Loss 2.1689 (2.2268)	Prec@1 42.188 (44.175)	Prec@5 76.562 (74.746)
Epoch: [33][4360/14090]	Time 0.990 (0.771)	Data 0.001 (0.002)	Loss 2.0884 (2.2266)	Prec@1 44.531 (44.177)	Prec@5 76.562 (74.751)
Epoch: [33][4370/14090]	Time 0.749 (0.771)	Data 0.001 (0.002)	Loss 2.2546 (2.2267)	Prec@1 42.969 (44.177)	Prec@5 72.656 (74.748)
Epoch: [33][4380/14090]	Time 0.756 (0.771)	Data 0.001 (0.002)	Loss 2.1769 (2.2266)	Prec@1 46.875 (44.178)	Prec@5 74.219 (74.747)
Epoch: [33][4390/14090]	Time 0.735 (0.771)	Data 0.001 (0.002)	Loss 2.1508 (2.2267)	Prec@1 48.438 (44.179)	Prec@5 72.656 (74.746)
Epoch: [33][4400/14090]	Time 0.759 (0.771)	Data 0.001 (0.002)	Loss 2.5511 (2.2268)	Prec@1 42.188 (44.178)	Prec@5 70.312 (74.744)
Epoch: [33][4410/14090]	Time 0.746 (0.771)	Data 0.001 (0.002)	Loss 2.2734 (2.2268)	Prec@1 38.281 (44.175)	Prec@5 75.781 (74.743)
Epoch: [33][4420/14090]	Time 0.758 (0.771)	Data 0.001 (0.002)	Loss 2.4607 (2.2268)	Prec@1 42.188 (44.173)	Prec@5 67.188 (74.741)
Epoch: [33][4430/14090]	Time 0.871 (0.771)	Data 0.001 (0.002)	Loss 2.0116 (2.2266)	Prec@1 46.094 (44.174)	Prec@5 79.688 (74.746)
Epoch: [33][4440/14090]	Time 0.770 (0.771)	Data 0.001 (0.002)	Loss 2.0128 (2.2265)	Prec@1 50.781 (44.177)	Prec@5 80.469 (74.748)
Epoch: [33][4450/14090]	Time 0.751 (0.771)	Data 0.001 (0.002)	Loss 2.4141 (2.2267)	Prec@1 40.625 (44.171)	Prec@5 73.438 (74.746)
Epoch: [33][4460/14090]	Time 0.722 (0.771)	Data 0.001 (0.002)	Loss 2.1965 (2.2265)	Prec@1 45.312 (44.173)	Prec@5 76.562 (74.749)
Epoch: [33][4470/14090]	Time 0.765 (0.771)	Data 0.001 (0.002)	Loss 2.4233 (2.2266)	Prec@1 35.938 (44.172)	Prec@5 72.656 (74.745)
Epoch: [33][4480/14090]	Time 0.756 (0.771)	Data 0.000 (0.002)	Loss 2.2230 (2.2268)	Prec@1 47.656 (44.170)	Prec@5 73.438 (74.741)
Epoch: [33][4490/14090]	Time 0.740 (0.771)	Data 0.001 (0.002)	Loss 2.2912 (2.2268)	Prec@1 44.531 (44.172)	Prec@5 71.875 (74.739)
Epoch: [33][4500/14090]	Time 0.867 (0.771)	Data 0.001 (0.002)	Loss 2.3120 (2.2268)	Prec@1 39.844 (44.167)	Prec@5 76.562 (74.740)
Epoch: [33][4510/14090]	Time 0.729 (0.771)	Data 0.001 (0.002)	Loss 2.3200 (2.2267)	Prec@1 41.406 (44.172)	Prec@5 75.000 (74.743)
Epoch: [33][4520/14090]	Time 0.748 (0.771)	Data 0.001 (0.002)	Loss 2.3829 (2.2269)	Prec@1 39.844 (44.169)	Prec@5 71.094 (74.736)
Epoch: [33][4530/14090]	Time 0.741 (0.771)	Data 0.001 (0.002)	Loss 1.9679 (2.2268)	Prec@1 50.000 (44.170)	Prec@5 80.469 (74.739)
Epoch: [33][4540/14090]	Time 0.755 (0.771)	Data 0.001 (0.002)	Loss 2.4189 (2.2267)	Prec@1 39.062 (44.168)	Prec@5 70.312 (74.738)
Epoch: [33][4550/14090]	Time 0.748 (0.771)	Data 0.001 (0.002)	Loss 1.9348 (2.2267)	Prec@1 49.219 (44.168)	Prec@5 75.000 (74.735)
Epoch: [33][4560/14090]	Time 0.755 (0.771)	Data 0.001 (0.002)	Loss 2.0733 (2.2268)	Prec@1 50.781 (44.170)	Prec@5 78.125 (74.733)
Epoch: [33][4570/14090]	Time 0.909 (0.771)	Data 0.001 (0.002)	Loss 2.2161 (2.2269)	Prec@1 46.094 (44.168)	Prec@5 75.000 (74.735)
Epoch: [33][4580/14090]	Time 0.746 (0.771)	Data 0.001 (0.002)	Loss 2.0434 (2.2267)	Prec@1 48.438 (44.171)	Prec@5 79.688 (74.738)
Epoch: [33][4590/14090]	Time 0.742 (0.771)	Data 0.001 (0.002)	Loss 2.4578 (2.2267)	Prec@1 36.719 (44.169)	Prec@5 72.656 (74.740)
Epoch: [33][4600/14090]	Time 0.759 (0.771)	Data 0.001 (0.002)	Loss 2.0015 (2.2265)	Prec@1 45.312 (44.169)	Prec@5 76.562 (74.744)
Epoch: [33][4610/14090]	Time 0.747 (0.770)	Data 0.001 (0.002)	Loss 2.3777 (2.2264)	Prec@1 46.094 (44.174)	Prec@5 71.875 (74.748)
Epoch: [33][4620/14090]	Time 0.753 (0.770)	Data 0.001 (0.002)	Loss 1.9545 (2.2264)	Prec@1 55.469 (44.177)	Prec@5 77.344 (74.746)
Epoch: [33][4630/14090]	Time 0.750 (0.771)	Data 0.004 (0.002)	Loss 2.3659 (2.2264)	Prec@1 44.531 (44.179)	Prec@5 72.656 (74.744)
Epoch: [33][4640/14090]	Time 0.904 (0.771)	Data 0.001 (0.002)	Loss 1.9432 (2.2263)	Prec@1 50.000 (44.181)	Prec@5 78.906 (74.747)
Epoch: [33][4650/14090]	Time 0.763 (0.771)	Data 0.001 (0.002)	Loss 2.2296 (2.2265)	Prec@1 42.969 (44.177)	Prec@5 75.781 (74.744)
Epoch: [33][4660/14090]	Time 0.755 (0.770)	Data 0.001 (0.002)	Loss 2.0652 (2.2264)	Prec@1 46.094 (44.177)	Prec@5 80.469 (74.747)
Epoch: [33][4670/14090]	Time 0.731 (0.770)	Data 0.001 (0.002)	Loss 2.1466 (2.2265)	Prec@1 44.531 (44.174)	Prec@5 74.219 (74.747)
Epoch: [33][4680/14090]	Time 0.756 (0.770)	Data 0.001 (0.002)	Loss 2.2367 (2.2266)	Prec@1 42.969 (44.173)	Prec@5 73.438 (74.745)
Epoch: [33][4690/14090]	Time 0.744 (0.770)	Data 0.001 (0.002)	Loss 2.4659 (2.2265)	Prec@1 38.281 (44.174)	Prec@5 69.531 (74.746)
Epoch: [33][4700/14090]	Time 0.739 (0.770)	Data 0.001 (0.002)	Loss 2.1805 (2.2265)	Prec@1 46.094 (44.175)	Prec@5 74.219 (74.749)
Epoch: [33][4710/14090]	Time 0.859 (0.771)	Data 0.001 (0.002)	Loss 2.0553 (2.2265)	Prec@1 50.000 (44.174)	Prec@5 74.219 (74.747)
Epoch: [33][4720/14090]	Time 0.782 (0.770)	Data 0.001 (0.002)	Loss 2.1222 (2.2264)	Prec@1 42.969 (44.177)	Prec@5 82.031 (74.749)
Epoch: [33][4730/14090]	Time 0.738 (0.770)	Data 0.001 (0.002)	Loss 2.2867 (2.2265)	Prec@1 42.969 (44.175)	Prec@5 71.875 (74.748)
Epoch: [33][4740/14090]	Time 0.763 (0.770)	Data 0.001 (0.002)	Loss 2.1725 (2.2265)	Prec@1 44.531 (44.174)	Prec@5 74.219 (74.744)
Epoch: [33][4750/14090]	Time 0.774 (0.770)	Data 0.001 (0.002)	Loss 2.4056 (2.2265)	Prec@1 43.750 (44.175)	Prec@5 73.438 (74.747)
Epoch: [33][4760/14090]	Time 0.741 (0.770)	Data 0.001 (0.002)	Loss 2.3042 (2.2265)	Prec@1 45.312 (44.177)	Prec@5 71.094 (74.747)
Epoch: [33][4770/14090]	Time 0.742 (0.770)	Data 0.001 (0.002)	Loss 2.2846 (2.2266)	Prec@1 42.188 (44.173)	Prec@5 71.094 (74.744)
Epoch: [33][4780/14090]	Time 0.855 (0.770)	Data 0.001 (0.002)	Loss 2.2788 (2.2265)	Prec@1 43.750 (44.176)	Prec@5 74.219 (74.747)
Epoch: [33][4790/14090]	Time 0.737 (0.770)	Data 0.001 (0.002)	Loss 2.0872 (2.2265)	Prec@1 51.562 (44.179)	Prec@5 75.781 (74.749)
Epoch: [33][4800/14090]	Time 0.736 (0.770)	Data 0.001 (0.002)	Loss 2.4296 (2.2267)	Prec@1 36.719 (44.174)	Prec@5 71.094 (74.743)
Epoch: [33][4810/14090]	Time 0.739 (0.770)	Data 0.001 (0.002)	Loss 2.2126 (2.2267)	Prec@1 45.312 (44.175)	Prec@5 74.219 (74.741)
Epoch: [33][4820/14090]	Time 0.729 (0.770)	Data 0.001 (0.002)	Loss 2.2725 (2.2269)	Prec@1 44.531 (44.170)	Prec@5 70.312 (74.738)
Epoch: [33][4830/14090]	Time 0.743 (0.770)	Data 0.001 (0.002)	Loss 2.3122 (2.2270)	Prec@1 42.969 (44.168)	Prec@5 71.875 (74.734)
Epoch: [33][4840/14090]	Time 0.750 (0.770)	Data 0.001 (0.002)	Loss 2.0417 (2.2269)	Prec@1 46.875 (44.167)	Prec@5 81.250 (74.739)
Epoch: [33][4850/14090]	Time 0.869 (0.770)	Data 0.001 (0.002)	Loss 2.3114 (2.2270)	Prec@1 40.625 (44.169)	Prec@5 68.750 (74.736)
Epoch: [33][4860/14090]	Time 0.750 (0.770)	Data 0.001 (0.002)	Loss 2.5852 (2.2270)	Prec@1 35.938 (44.167)	Prec@5 67.969 (74.734)
Epoch: [33][4870/14090]	Time 0.748 (0.770)	Data 0.001 (0.002)	Loss 2.0935 (2.2271)	Prec@1 50.781 (44.164)	Prec@5 81.250 (74.732)
Epoch: [33][4880/14090]	Time 0.778 (0.770)	Data 0.001 (0.002)	Loss 2.2379 (2.2271)	Prec@1 40.625 (44.162)	Prec@5 75.781 (74.734)
Epoch: [33][4890/14090]	Time 0.749 (0.770)	Data 0.001 (0.002)	Loss 2.3998 (2.2272)	Prec@1 40.625 (44.159)	Prec@5 75.000 (74.732)
Epoch: [33][4900/14090]	Time 0.753 (0.770)	Data 0.001 (0.002)	Loss 2.2127 (2.2273)	Prec@1 47.656 (44.158)	Prec@5 76.562 (74.729)
Epoch: [33][4910/14090]	Time 0.757 (0.770)	Data 0.001 (0.002)	Loss 2.4658 (2.2274)	Prec@1 35.938 (44.156)	Prec@5 70.312 (74.726)
Epoch: [33][4920/14090]	Time 0.968 (0.770)	Data 0.001 (0.002)	Loss 2.1312 (2.2274)	Prec@1 52.344 (44.157)	Prec@5 77.344 (74.726)
Epoch: [33][4930/14090]	Time 0.786 (0.770)	Data 0.001 (0.002)	Loss 2.2382 (2.2276)	Prec@1 44.531 (44.155)	Prec@5 74.219 (74.725)
Epoch: [33][4940/14090]	Time 0.741 (0.770)	Data 0.001 (0.002)	Loss 2.1406 (2.2275)	Prec@1 39.062 (44.156)	Prec@5 79.688 (74.726)
Epoch: [33][4950/14090]	Time 0.752 (0.770)	Data 0.001 (0.002)	Loss 2.5163 (2.2276)	Prec@1 41.406 (44.156)	Prec@5 69.531 (74.725)
Epoch: [33][4960/14090]	Time 0.725 (0.770)	Data 0.001 (0.002)	Loss 2.2828 (2.2277)	Prec@1 47.656 (44.157)	Prec@5 75.781 (74.723)
Epoch: [33][4970/14090]	Time 0.726 (0.770)	Data 0.001 (0.002)	Loss 2.1555 (2.2276)	Prec@1 42.969 (44.157)	Prec@5 72.656 (74.725)
Epoch: [33][4980/14090]	Time 0.755 (0.770)	Data 0.001 (0.002)	Loss 2.1512 (2.2278)	Prec@1 37.500 (44.152)	Prec@5 78.125 (74.723)
Epoch: [33][4990/14090]	Time 0.873 (0.770)	Data 0.001 (0.002)	Loss 2.3768 (2.2277)	Prec@1 45.312 (44.153)	Prec@5 74.219 (74.725)
Epoch: [33][5000/14090]	Time 0.744 (0.770)	Data 0.001 (0.002)	Loss 2.1691 (2.2278)	Prec@1 47.656 (44.151)	Prec@5 76.562 (74.724)
Epoch: [33][5010/14090]	Time 0.765 (0.770)	Data 0.001 (0.002)	Loss 2.1090 (2.2277)	Prec@1 48.438 (44.153)	Prec@5 78.906 (74.725)
Epoch: [33][5020/14090]	Time 0.734 (0.770)	Data 0.001 (0.002)	Loss 2.2372 (2.2277)	Prec@1 44.531 (44.152)	Prec@5 78.906 (74.727)
Epoch: [33][5030/14090]	Time 0.754 (0.770)	Data 0.001 (0.002)	Loss 2.1030 (2.2276)	Prec@1 46.875 (44.153)	Prec@5 78.125 (74.730)
Epoch: [33][5040/14090]	Time 0.766 (0.770)	Data 0.001 (0.002)	Loss 2.4965 (2.2279)	Prec@1 39.062 (44.149)	Prec@5 66.406 (74.724)
Epoch: [33][5050/14090]	Time 0.744 (0.770)	Data 0.001 (0.002)	Loss 2.1110 (2.2278)	Prec@1 43.750 (44.148)	Prec@5 76.562 (74.726)
Epoch: [33][5060/14090]	Time 0.862 (0.770)	Data 0.001 (0.002)	Loss 2.1072 (2.2279)	Prec@1 47.656 (44.147)	Prec@5 77.344 (74.723)
Epoch: [33][5070/14090]	Time 0.745 (0.770)	Data 0.001 (0.002)	Loss 2.3822 (2.2278)	Prec@1 39.844 (44.146)	Prec@5 70.312 (74.726)
Epoch: [33][5080/14090]	Time 0.776 (0.770)	Data 0.001 (0.002)	Loss 2.2661 (2.2278)	Prec@1 46.094 (44.148)	Prec@5 75.781 (74.726)
Epoch: [33][5090/14090]	Time 0.736 (0.770)	Data 0.001 (0.002)	Loss 2.1343 (2.2276)	Prec@1 45.312 (44.152)	Prec@5 74.219 (74.730)
Epoch: [33][5100/14090]	Time 0.752 (0.770)	Data 0.001 (0.002)	Loss 2.0432 (2.2276)	Prec@1 42.969 (44.151)	Prec@5 75.000 (74.732)
Epoch: [33][5110/14090]	Time 0.727 (0.770)	Data 0.001 (0.002)	Loss 2.1499 (2.2276)	Prec@1 41.406 (44.150)	Prec@5 78.125 (74.733)
Epoch: [33][5120/14090]	Time 0.747 (0.770)	Data 0.001 (0.002)	Loss 2.0297 (2.2274)	Prec@1 49.219 (44.155)	Prec@5 78.125 (74.735)
Epoch: [33][5130/14090]	Time 0.871 (0.770)	Data 0.001 (0.002)	Loss 2.4775 (2.2275)	Prec@1 42.969 (44.153)	Prec@5 66.406 (74.731)
Epoch: [33][5140/14090]	Time 0.764 (0.770)	Data 0.001 (0.002)	Loss 2.2991 (2.2276)	Prec@1 46.094 (44.151)	Prec@5 71.875 (74.728)
Epoch: [33][5150/14090]	Time 0.735 (0.770)	Data 0.001 (0.002)	Loss 2.3950 (2.2277)	Prec@1 44.531 (44.153)	Prec@5 71.094 (74.725)
Epoch: [33][5160/14090]	Time 0.735 (0.770)	Data 0.001 (0.002)	Loss 2.1850 (2.2279)	Prec@1 43.750 (44.149)	Prec@5 74.219 (74.719)
Epoch: [33][5170/14090]	Time 0.752 (0.770)	Data 0.001 (0.002)	Loss 2.1032 (2.2279)	Prec@1 48.438 (44.148)	Prec@5 78.125 (74.721)
Epoch: [33][5180/14090]	Time 0.753 (0.770)	Data 0.001 (0.002)	Loss 2.2921 (2.2278)	Prec@1 42.188 (44.151)	Prec@5 72.656 (74.722)
Epoch: [33][5190/14090]	Time 0.760 (0.770)	Data 0.002 (0.002)	Loss 2.3268 (2.2279)	Prec@1 43.750 (44.148)	Prec@5 74.219 (74.723)
Epoch: [33][5200/14090]	Time 0.845 (0.770)	Data 0.001 (0.002)	Loss 2.0161 (2.2279)	Prec@1 44.531 (44.146)	Prec@5 81.250 (74.725)
Epoch: [33][5210/14090]	Time 0.766 (0.770)	Data 0.001 (0.002)	Loss 2.0512 (2.2280)	Prec@1 50.000 (44.142)	Prec@5 75.781 (74.723)
Epoch: [33][5220/14090]	Time 0.761 (0.770)	Data 0.001 (0.002)	Loss 2.1367 (2.2281)	Prec@1 42.969 (44.142)	Prec@5 75.000 (74.723)
Epoch: [33][5230/14090]	Time 0.742 (0.770)	Data 0.001 (0.002)	Loss 2.5316 (2.2281)	Prec@1 37.500 (44.140)	Prec@5 71.094 (74.722)
Epoch: [33][5240/14090]	Time 0.764 (0.770)	Data 0.001 (0.002)	Loss 2.0005 (2.2280)	Prec@1 50.781 (44.143)	Prec@5 75.781 (74.724)
Epoch: [33][5250/14090]	Time 0.748 (0.770)	Data 0.001 (0.002)	Loss 2.4058 (2.2279)	Prec@1 40.625 (44.145)	Prec@5 72.656 (74.724)
Epoch: [33][5260/14090]	Time 0.743 (0.770)	Data 0.001 (0.002)	Loss 2.0194 (2.2278)	Prec@1 50.781 (44.145)	Prec@5 75.781 (74.727)
Epoch: [33][5270/14090]	Time 0.901 (0.770)	Data 0.001 (0.002)	Loss 2.2444 (2.2278)	Prec@1 50.000 (44.148)	Prec@5 72.656 (74.727)
Epoch: [33][5280/14090]	Time 0.736 (0.770)	Data 0.001 (0.002)	Loss 2.4335 (2.2279)	Prec@1 46.875 (44.150)	Prec@5 71.094 (74.725)
Epoch: [33][5290/14090]	Time 0.731 (0.770)	Data 0.001 (0.002)	Loss 2.2559 (2.2279)	Prec@1 42.969 (44.153)	Prec@5 75.000 (74.727)
Epoch: [33][5300/14090]	Time 0.726 (0.770)	Data 0.001 (0.002)	Loss 2.2520 (2.2279)	Prec@1 43.750 (44.149)	Prec@5 77.344 (74.728)
Epoch: [33][5310/14090]	Time 0.771 (0.770)	Data 0.004 (0.002)	Loss 2.2876 (2.2278)	Prec@1 46.875 (44.154)	Prec@5 75.781 (74.731)
Epoch: [33][5320/14090]	Time 0.760 (0.770)	Data 0.001 (0.002)	Loss 2.0988 (2.2277)	Prec@1 45.312 (44.154)	Prec@5 76.562 (74.734)
Epoch: [33][5330/14090]	Time 0.748 (0.770)	Data 0.001 (0.002)	Loss 2.3507 (2.2278)	Prec@1 36.719 (44.152)	Prec@5 73.438 (74.734)
Epoch: [33][5340/14090]	Time 0.878 (0.770)	Data 0.001 (0.002)	Loss 2.3140 (2.2276)	Prec@1 46.875 (44.156)	Prec@5 71.094 (74.736)
Epoch: [33][5350/14090]	Time 0.764 (0.770)	Data 0.001 (0.002)	Loss 2.4387 (2.2275)	Prec@1 39.062 (44.156)	Prec@5 73.438 (74.737)
Epoch: [33][5360/14090]	Time 0.768 (0.770)	Data 0.001 (0.002)	Loss 2.5724 (2.2277)	Prec@1 37.500 (44.150)	Prec@5 68.750 (74.734)
Epoch: [33][5370/14090]	Time 0.753 (0.770)	Data 0.001 (0.002)	Loss 2.3303 (2.2276)	Prec@1 40.625 (44.150)	Prec@5 71.094 (74.739)
Epoch: [33][5380/14090]	Time 0.747 (0.770)	Data 0.001 (0.002)	Loss 1.9883 (2.2275)	Prec@1 55.469 (44.154)	Prec@5 78.125 (74.743)
Epoch: [33][5390/14090]	Time 0.743 (0.770)	Data 0.001 (0.002)	Loss 2.1289 (2.2276)	Prec@1 43.750 (44.152)	Prec@5 75.781 (74.741)
Epoch: [33][5400/14090]	Time 0.746 (0.770)	Data 0.001 (0.002)	Loss 1.9921 (2.2274)	Prec@1 53.125 (44.154)	Prec@5 78.906 (74.744)
Epoch: [33][5410/14090]	Time 0.878 (0.770)	Data 0.001 (0.002)	Loss 2.0493 (2.2273)	Prec@1 50.781 (44.156)	Prec@5 75.781 (74.746)
Epoch: [33][5420/14090]	Time 0.745 (0.770)	Data 0.001 (0.002)	Loss 2.0983 (2.2273)	Prec@1 45.312 (44.157)	Prec@5 75.781 (74.744)
Epoch: [33][5430/14090]	Time 0.777 (0.770)	Data 0.001 (0.002)	Loss 2.3931 (2.2275)	Prec@1 39.844 (44.150)	Prec@5 70.312 (74.738)
Epoch: [33][5440/14090]	Time 0.757 (0.770)	Data 0.001 (0.002)	Loss 2.2704 (2.2276)	Prec@1 42.188 (44.148)	Prec@5 71.094 (74.736)
Epoch: [33][5450/14090]	Time 0.765 (0.770)	Data 0.001 (0.002)	Loss 2.3083 (2.2276)	Prec@1 46.094 (44.149)	Prec@5 72.656 (74.738)
Epoch: [33][5460/14090]	Time 0.752 (0.770)	Data 0.001 (0.002)	Loss 2.0301 (2.2276)	Prec@1 50.781 (44.149)	Prec@5 79.688 (74.740)
Epoch: [33][5470/14090]	Time 0.723 (0.770)	Data 0.001 (0.002)	Loss 2.3528 (2.2277)	Prec@1 43.750 (44.150)	Prec@5 77.344 (74.739)
Epoch: [33][5480/14090]	Time 0.916 (0.770)	Data 0.001 (0.002)	Loss 2.0800 (2.2277)	Prec@1 42.188 (44.148)	Prec@5 77.344 (74.739)
Epoch: [33][5490/14090]	Time 0.778 (0.770)	Data 0.001 (0.002)	Loss 2.1069 (2.2279)	Prec@1 43.750 (44.145)	Prec@5 74.219 (74.736)
Epoch: [33][5500/14090]	Time 0.752 (0.770)	Data 0.001 (0.002)	Loss 2.1057 (2.2278)	Prec@1 46.875 (44.145)	Prec@5 78.125 (74.735)
Epoch: [33][5510/14090]	Time 0.781 (0.770)	Data 0.001 (0.002)	Loss 2.1138 (2.2277)	Prec@1 46.875 (44.149)	Prec@5 79.688 (74.737)
Epoch: [33][5520/14090]	Time 0.769 (0.770)	Data 0.001 (0.002)	Loss 2.1765 (2.2277)	Prec@1 40.625 (44.152)	Prec@5 75.000 (74.738)
Epoch: [33][5530/14090]	Time 0.750 (0.770)	Data 0.001 (0.002)	Loss 2.4621 (2.2276)	Prec@1 32.812 (44.151)	Prec@5 72.656 (74.737)
Epoch: [33][5540/14090]	Time 0.772 (0.770)	Data 0.001 (0.002)	Loss 2.1131 (2.2276)	Prec@1 47.656 (44.151)	Prec@5 77.344 (74.738)
Epoch: [33][5550/14090]	Time 0.861 (0.770)	Data 0.001 (0.002)	Loss 2.1614 (2.2275)	Prec@1 38.281 (44.152)	Prec@5 72.656 (74.737)
Epoch: [33][5560/14090]	Time 0.747 (0.770)	Data 0.001 (0.002)	Loss 2.0192 (2.2275)	Prec@1 50.781 (44.154)	Prec@5 75.000 (74.738)
Epoch: [33][5570/14090]	Time 0.739 (0.770)	Data 0.001 (0.002)	Loss 2.4904 (2.2274)	Prec@1 43.750 (44.155)	Prec@5 68.750 (74.738)
Epoch: [33][5580/14090]	Time 0.773 (0.770)	Data 0.001 (0.002)	Loss 2.1084 (2.2272)	Prec@1 47.656 (44.160)	Prec@5 76.562 (74.742)
Epoch: [33][5590/14090]	Time 0.763 (0.770)	Data 0.001 (0.002)	Loss 1.8318 (2.2270)	Prec@1 48.438 (44.162)	Prec@5 82.031 (74.744)
Epoch: [33][5600/14090]	Time 0.758 (0.770)	Data 0.001 (0.002)	Loss 2.5531 (2.2271)	Prec@1 35.938 (44.161)	Prec@5 68.750 (74.741)
Epoch: [33][5610/14090]	Time 0.773 (0.770)	Data 0.001 (0.002)	Loss 2.2823 (2.2271)	Prec@1 41.406 (44.159)	Prec@5 74.219 (74.742)
Epoch: [33][5620/14090]	Time 0.890 (0.770)	Data 0.001 (0.002)	Loss 2.4654 (2.2271)	Prec@1 42.188 (44.163)	Prec@5 71.094 (74.743)
Epoch: [33][5630/14090]	Time 0.754 (0.770)	Data 0.001 (0.002)	Loss 2.1608 (2.2271)	Prec@1 46.875 (44.160)	Prec@5 75.000 (74.739)
Epoch: [33][5640/14090]	Time 0.754 (0.770)	Data 0.001 (0.002)	Loss 2.2881 (2.2271)	Prec@1 42.969 (44.159)	Prec@5 70.312 (74.739)
Epoch: [33][5650/14090]	Time 0.737 (0.770)	Data 0.001 (0.002)	Loss 2.0979 (2.2269)	Prec@1 48.438 (44.165)	Prec@5 76.562 (74.741)
Epoch: [33][5660/14090]	Time 0.744 (0.770)	Data 0.001 (0.002)	Loss 2.1773 (2.2268)	Prec@1 42.969 (44.165)	Prec@5 81.250 (74.742)
Epoch: [33][5670/14090]	Time 0.746 (0.770)	Data 0.001 (0.002)	Loss 2.3357 (2.2269)	Prec@1 42.188 (44.165)	Prec@5 74.219 (74.743)
Epoch: [33][5680/14090]	Time 0.734 (0.770)	Data 0.001 (0.002)	Loss 2.1506 (2.2269)	Prec@1 47.656 (44.166)	Prec@5 78.906 (74.741)
Epoch: [33][5690/14090]	Time 0.898 (0.770)	Data 0.001 (0.002)	Loss 1.9987 (2.2270)	Prec@1 47.656 (44.163)	Prec@5 76.562 (74.743)
Epoch: [33][5700/14090]	Time 0.747 (0.770)	Data 0.001 (0.002)	Loss 2.2889 (2.2269)	Prec@1 42.969 (44.163)	Prec@5 70.312 (74.743)
Epoch: [33][5710/14090]	Time 0.741 (0.770)	Data 0.001 (0.002)	Loss 2.1771 (2.2269)	Prec@1 41.406 (44.163)	Prec@5 74.219 (74.742)
Epoch: [33][5720/14090]	Time 0.746 (0.770)	Data 0.001 (0.002)	Loss 2.2068 (2.2270)	Prec@1 45.312 (44.162)	Prec@5 73.438 (74.740)
Epoch: [33][5730/14090]	Time 0.737 (0.770)	Data 0.001 (0.002)	Loss 1.9611 (2.2270)	Prec@1 49.219 (44.163)	Prec@5 79.688 (74.738)
Epoch: [33][5740/14090]	Time 0.759 (0.770)	Data 0.001 (0.002)	Loss 2.4217 (2.2269)	Prec@1 42.188 (44.166)	Prec@5 69.531 (74.740)
Epoch: [33][5750/14090]	Time 0.775 (0.770)	Data 0.001 (0.002)	Loss 2.3520 (2.2269)	Prec@1 44.531 (44.165)	Prec@5 69.531 (74.739)
Epoch: [33][5760/14090]	Time 0.973 (0.770)	Data 0.001 (0.002)	Loss 2.2625 (2.2270)	Prec@1 42.188 (44.163)	Prec@5 70.312 (74.735)
Epoch: [33][5770/14090]	Time 0.741 (0.770)	Data 0.001 (0.002)	Loss 2.2872 (2.2268)	Prec@1 38.281 (44.165)	Prec@5 72.656 (74.737)
Epoch: [33][5780/14090]	Time 0.736 (0.770)	Data 0.001 (0.002)	Loss 2.0435 (2.2269)	Prec@1 44.531 (44.163)	Prec@5 79.688 (74.735)
Epoch: [33][5790/14090]	Time 0.754 (0.770)	Data 0.001 (0.002)	Loss 2.3942 (2.2270)	Prec@1 37.500 (44.163)	Prec@5 69.531 (74.734)
Epoch: [33][5800/14090]	Time 0.754 (0.770)	Data 0.001 (0.002)	Loss 2.0829 (2.2270)	Prec@1 46.094 (44.164)	Prec@5 78.906 (74.734)
Epoch: [33][5810/14090]	Time 0.762 (0.770)	Data 0.001 (0.002)	Loss 2.2958 (2.2270)	Prec@1 42.969 (44.164)	Prec@5 73.438 (74.735)
Epoch: [33][5820/14090]	Time 0.750 (0.770)	Data 0.001 (0.002)	Loss 2.2196 (2.2270)	Prec@1 46.875 (44.167)	Prec@5 71.875 (74.737)
Epoch: [33][5830/14090]	Time 0.914 (0.770)	Data 0.001 (0.002)	Loss 2.2657 (2.2269)	Prec@1 40.625 (44.165)	Prec@5 76.562 (74.738)
Epoch: [33][5840/14090]	Time 0.750 (0.770)	Data 0.001 (0.002)	Loss 2.1693 (2.2271)	Prec@1 43.750 (44.163)	Prec@5 78.125 (74.735)
Epoch: [33][5850/14090]	Time 0.778 (0.770)	Data 0.001 (0.002)	Loss 2.2602 (2.2271)	Prec@1 48.438 (44.163)	Prec@5 71.094 (74.735)
Epoch: [33][5860/14090]	Time 0.778 (0.770)	Data 0.001 (0.002)	Loss 2.1145 (2.2270)	Prec@1 50.781 (44.164)	Prec@5 76.562 (74.736)
Epoch: [33][5870/14090]	Time 0.750 (0.770)	Data 0.001 (0.002)	Loss 2.2898 (2.2269)	Prec@1 41.406 (44.169)	Prec@5 70.312 (74.737)
Epoch: [33][5880/14090]	Time 0.743 (0.770)	Data 0.001 (0.002)	Loss 2.0724 (2.2270)	Prec@1 50.781 (44.170)	Prec@5 75.000 (74.735)
Epoch: [33][5890/14090]	Time 0.790 (0.770)	Data 0.001 (0.002)	Loss 2.3237 (2.2270)	Prec@1 45.312 (44.168)	Prec@5 72.656 (74.735)
Epoch: [33][5900/14090]	Time 0.994 (0.770)	Data 0.001 (0.002)	Loss 2.1246 (2.2270)	Prec@1 39.844 (44.166)	Prec@5 75.781 (74.736)
Epoch: [33][5910/14090]	Time 0.789 (0.770)	Data 0.001 (0.002)	Loss 2.2587 (2.2269)	Prec@1 45.312 (44.168)	Prec@5 75.781 (74.738)
Epoch: [33][5920/14090]	Time 0.756 (0.770)	Data 0.001 (0.002)	Loss 2.2056 (2.2270)	Prec@1 42.188 (44.167)	Prec@5 70.312 (74.734)
Epoch: [33][5930/14090]	Time 0.739 (0.770)	Data 0.002 (0.002)	Loss 2.1258 (2.2272)	Prec@1 48.438 (44.166)	Prec@5 77.344 (74.733)
Epoch: [33][5940/14090]	Time 0.748 (0.770)	Data 0.001 (0.002)	Loss 2.2726 (2.2272)	Prec@1 46.875 (44.166)	Prec@5 72.656 (74.734)
Epoch: [33][5950/14090]	Time 0.722 (0.770)	Data 0.001 (0.002)	Loss 2.4841 (2.2275)	Prec@1 40.625 (44.162)	Prec@5 72.656 (74.729)
Epoch: [33][5960/14090]	Time 0.728 (0.770)	Data 0.001 (0.002)	Loss 2.3858 (2.2276)	Prec@1 46.094 (44.164)	Prec@5 73.438 (74.728)
Epoch: [33][5970/14090]	Time 0.843 (0.770)	Data 0.002 (0.002)	Loss 2.3723 (2.2276)	Prec@1 39.844 (44.165)	Prec@5 72.656 (74.729)
Epoch: [33][5980/14090]	Time 0.742 (0.770)	Data 0.001 (0.002)	Loss 2.2300 (2.2276)	Prec@1 43.750 (44.164)	Prec@5 73.438 (74.728)
Epoch: [33][5990/14090]	Time 0.769 (0.770)	Data 0.001 (0.002)	Loss 2.3216 (2.2276)	Prec@1 50.781 (44.167)	Prec@5 74.219 (74.729)
Epoch: [33][6000/14090]	Time 0.775 (0.770)	Data 0.001 (0.002)	Loss 2.0766 (2.2277)	Prec@1 54.688 (44.164)	Prec@5 76.562 (74.726)
Epoch: [33][6010/14090]	Time 0.779 (0.770)	Data 0.001 (0.002)	Loss 2.3426 (2.2277)	Prec@1 47.656 (44.167)	Prec@5 71.094 (74.727)
Epoch: [33][6020/14090]	Time 0.734 (0.770)	Data 0.001 (0.002)	Loss 2.2572 (2.2276)	Prec@1 41.406 (44.172)	Prec@5 76.562 (74.727)
Epoch: [33][6030/14090]	Time 0.753 (0.770)	Data 0.001 (0.002)	Loss 1.8727 (2.2275)	Prec@1 51.562 (44.174)	Prec@5 82.812 (74.730)
Epoch: [33][6040/14090]	Time 0.875 (0.770)	Data 0.001 (0.002)	Loss 2.2222 (2.2274)	Prec@1 50.000 (44.178)	Prec@5 75.781 (74.729)
Epoch: [33][6050/14090]	Time 0.762 (0.770)	Data 0.001 (0.002)	Loss 2.4891 (2.2275)	Prec@1 42.188 (44.178)	Prec@5 68.750 (74.728)
Epoch: [33][6060/14090]	Time 0.784 (0.770)	Data 0.001 (0.002)	Loss 2.4590 (2.2276)	Prec@1 41.406 (44.175)	Prec@5 73.438 (74.725)
Epoch: [33][6070/14090]	Time 0.749 (0.770)	Data 0.001 (0.002)	Loss 2.0861 (2.2276)	Prec@1 44.531 (44.176)	Prec@5 78.125 (74.725)
Epoch: [33][6080/14090]	Time 0.743 (0.770)	Data 0.001 (0.002)	Loss 2.0397 (2.2275)	Prec@1 49.219 (44.181)	Prec@5 74.219 (74.726)
Epoch: [33][6090/14090]	Time 0.766 (0.770)	Data 0.001 (0.002)	Loss 2.0555 (2.2276)	Prec@1 49.219 (44.181)	Prec@5 75.781 (74.726)
Epoch: [33][6100/14090]	Time 0.728 (0.770)	Data 0.001 (0.002)	Loss 2.1933 (2.2275)	Prec@1 46.094 (44.181)	Prec@5 74.219 (74.726)
Epoch: [33][6110/14090]	Time 0.840 (0.770)	Data 0.001 (0.002)	Loss 2.3007 (2.2275)	Prec@1 52.344 (44.180)	Prec@5 73.438 (74.723)
Epoch: [33][6120/14090]	Time 0.719 (0.770)	Data 0.001 (0.002)	Loss 2.4833 (2.2276)	Prec@1 35.156 (44.176)	Prec@5 67.969 (74.723)
Epoch: [33][6130/14090]	Time 0.757 (0.770)	Data 0.001 (0.002)	Loss 2.2538 (2.2276)	Prec@1 46.094 (44.177)	Prec@5 75.000 (74.723)
Epoch: [33][6140/14090]	Time 0.761 (0.770)	Data 0.001 (0.002)	Loss 2.4626 (2.2276)	Prec@1 39.062 (44.175)	Prec@5 69.531 (74.723)
Epoch: [33][6150/14090]	Time 0.783 (0.770)	Data 0.001 (0.002)	Loss 2.1940 (2.2277)	Prec@1 46.094 (44.172)	Prec@5 71.875 (74.721)
Epoch: [33][6160/14090]	Time 0.744 (0.770)	Data 0.001 (0.002)	Loss 2.3325 (2.2278)	Prec@1 39.062 (44.172)	Prec@5 74.219 (74.715)
Epoch: [33][6170/14090]	Time 0.767 (0.770)	Data 0.001 (0.002)	Loss 2.1649 (2.2278)	Prec@1 44.531 (44.173)	Prec@5 75.781 (74.716)
Epoch: [33][6180/14090]	Time 0.953 (0.770)	Data 0.001 (0.002)	Loss 2.3060 (2.2278)	Prec@1 45.312 (44.173)	Prec@5 72.656 (74.717)
Epoch: [33][6190/14090]	Time 0.748 (0.770)	Data 0.001 (0.002)	Loss 1.9873 (2.2277)	Prec@1 50.000 (44.176)	Prec@5 82.812 (74.718)
Epoch: [33][6200/14090]	Time 0.737 (0.770)	Data 0.001 (0.002)	Loss 2.0602 (2.2277)	Prec@1 49.219 (44.176)	Prec@5 77.344 (74.718)
Epoch: [33][6210/14090]	Time 0.748 (0.770)	Data 0.001 (0.002)	Loss 2.1719 (2.2278)	Prec@1 46.875 (44.175)	Prec@5 77.344 (74.717)
Epoch: [33][6220/14090]	Time 0.737 (0.770)	Data 0.001 (0.002)	Loss 2.3653 (2.2277)	Prec@1 38.281 (44.177)	Prec@5 74.219 (74.719)
Epoch: [33][6230/14090]	Time 0.758 (0.770)	Data 0.001 (0.002)	Loss 2.3431 (2.2276)	Prec@1 36.719 (44.175)	Prec@5 72.656 (74.721)
Epoch: [33][6240/14090]	Time 0.771 (0.770)	Data 0.001 (0.002)	Loss 2.2125 (2.2275)	Prec@1 45.312 (44.175)	Prec@5 74.219 (74.721)
Epoch: [33][6250/14090]	Time 0.890 (0.770)	Data 0.001 (0.002)	Loss 2.3235 (2.2274)	Prec@1 39.062 (44.179)	Prec@5 72.656 (74.723)
Epoch: [33][6260/14090]	Time 0.748 (0.770)	Data 0.001 (0.002)	Loss 2.2717 (2.2273)	Prec@1 45.312 (44.182)	Prec@5 77.344 (74.726)
Epoch: [33][6270/14090]	Time 0.740 (0.770)	Data 0.001 (0.002)	Loss 2.3669 (2.2271)	Prec@1 39.062 (44.183)	Prec@5 70.312 (74.728)
Epoch: [33][6280/14090]	Time 0.745 (0.770)	Data 0.001 (0.002)	Loss 2.1881 (2.2271)	Prec@1 39.062 (44.184)	Prec@5 73.438 (74.728)
Epoch: [33][6290/14090]	Time 0.751 (0.770)	Data 0.001 (0.002)	Loss 2.2367 (2.2271)	Prec@1 48.438 (44.187)	Prec@5 68.750 (74.727)
Epoch: [33][6300/14090]	Time 0.758 (0.770)	Data 0.001 (0.002)	Loss 2.3245 (2.2271)	Prec@1 40.625 (44.186)	Prec@5 74.219 (74.726)
Epoch: [33][6310/14090]	Time 0.750 (0.770)	Data 0.001 (0.002)	Loss 2.1462 (2.2271)	Prec@1 46.094 (44.186)	Prec@5 74.219 (74.725)
Epoch: [33][6320/14090]	Time 1.029 (0.770)	Data 0.001 (0.002)	Loss 2.0450 (2.2272)	Prec@1 46.094 (44.184)	Prec@5 75.000 (74.722)
Epoch: [33][6330/14090]	Time 0.755 (0.770)	Data 0.001 (0.002)	Loss 2.0151 (2.2273)	Prec@1 41.406 (44.183)	Prec@5 78.906 (74.721)
Epoch: [33][6340/14090]	Time 0.750 (0.770)	Data 0.001 (0.002)	Loss 2.0974 (2.2272)	Prec@1 50.781 (44.182)	Prec@5 72.656 (74.724)
Epoch: [33][6350/14090]	Time 0.759 (0.770)	Data 0.001 (0.002)	Loss 2.2000 (2.2272)	Prec@1 46.094 (44.182)	Prec@5 75.000 (74.725)
Epoch: [33][6360/14090]	Time 0.768 (0.770)	Data 0.001 (0.002)	Loss 2.3785 (2.2273)	Prec@1 39.844 (44.178)	Prec@5 70.312 (74.720)
Epoch: [33][6370/14090]	Time 0.734 (0.770)	Data 0.001 (0.002)	Loss 2.4753 (2.2274)	Prec@1 42.188 (44.176)	Prec@5 71.875 (74.718)
Epoch: [33][6380/14090]	Time 0.731 (0.770)	Data 0.001 (0.002)	Loss 2.0623 (2.2272)	Prec@1 52.344 (44.179)	Prec@5 77.344 (74.720)
Epoch: [33][6390/14090]	Time 0.954 (0.770)	Data 0.001 (0.002)	Loss 2.2599 (2.2273)	Prec@1 39.844 (44.176)	Prec@5 75.000 (74.717)
Epoch: [33][6400/14090]	Time 0.726 (0.770)	Data 0.001 (0.002)	Loss 1.9303 (2.2273)	Prec@1 48.438 (44.178)	Prec@5 79.688 (74.716)
Epoch: [33][6410/14090]	Time 0.729 (0.770)	Data 0.001 (0.002)	Loss 2.4779 (2.2272)	Prec@1 44.531 (44.179)	Prec@5 71.875 (74.717)
Epoch: [33][6420/14090]	Time 0.738 (0.770)	Data 0.001 (0.002)	Loss 2.1370 (2.2272)	Prec@1 46.094 (44.178)	Prec@5 75.781 (74.718)
Epoch: [33][6430/14090]	Time 0.734 (0.770)	Data 0.001 (0.002)	Loss 2.2545 (2.2273)	Prec@1 43.750 (44.177)	Prec@5 75.000 (74.715)
Epoch: [33][6440/14090]	Time 0.768 (0.770)	Data 0.001 (0.002)	Loss 2.3136 (2.2275)	Prec@1 43.750 (44.175)	Prec@5 71.094 (74.712)
Epoch: [33][6450/14090]	Time 0.779 (0.770)	Data 0.001 (0.002)	Loss 2.0541 (2.2274)	Prec@1 50.781 (44.175)	Prec@5 79.688 (74.714)
Epoch: [33][6460/14090]	Time 0.998 (0.770)	Data 0.001 (0.002)	Loss 2.1492 (2.2275)	Prec@1 42.969 (44.172)	Prec@5 75.781 (74.714)
Epoch: [33][6470/14090]	Time 0.761 (0.770)	Data 0.001 (0.002)	Loss 2.4079 (2.2276)	Prec@1 43.750 (44.169)	Prec@5 74.219 (74.712)
Epoch: [33][6480/14090]	Time 0.747 (0.770)	Data 0.001 (0.002)	Loss 2.2062 (2.2276)	Prec@1 41.406 (44.169)	Prec@5 75.781 (74.713)
Epoch: [33][6490/14090]	Time 0.777 (0.770)	Data 0.001 (0.002)	Loss 2.1266 (2.2274)	Prec@1 49.219 (44.175)	Prec@5 77.344 (74.717)
Epoch: [33][6500/14090]	Time 0.757 (0.770)	Data 0.001 (0.002)	Loss 2.4189 (2.2275)	Prec@1 41.406 (44.174)	Prec@5 69.531 (74.714)
Epoch: [33][6510/14090]	Time 0.774 (0.771)	Data 0.001 (0.002)	Loss 1.9100 (2.2274)	Prec@1 51.562 (44.175)	Prec@5 77.344 (74.713)
Epoch: [33][6520/14090]	Time 0.743 (0.770)	Data 0.001 (0.002)	Loss 2.3252 (2.2274)	Prec@1 42.969 (44.173)	Prec@5 75.781 (74.714)
Epoch: [33][6530/14090]	Time 0.891 (0.771)	Data 0.001 (0.002)	Loss 2.2082 (2.2273)	Prec@1 50.000 (44.176)	Prec@5 76.562 (74.716)
Epoch: [33][6540/14090]	Time 0.729 (0.770)	Data 0.001 (0.002)	Loss 2.4072 (2.2273)	Prec@1 40.625 (44.176)	Prec@5 71.094 (74.716)
Epoch: [33][6550/14090]	Time 0.734 (0.770)	Data 0.001 (0.002)	Loss 2.1556 (2.2273)	Prec@1 43.750 (44.174)	Prec@5 78.125 (74.715)
Epoch: [33][6560/14090]	Time 0.756 (0.770)	Data 0.001 (0.002)	Loss 1.9140 (2.2273)	Prec@1 50.781 (44.175)	Prec@5 79.688 (74.717)
Epoch: [33][6570/14090]	Time 0.757 (0.770)	Data 0.001 (0.002)	Loss 2.2027 (2.2272)	Prec@1 43.750 (44.178)	Prec@5 74.219 (74.717)
Epoch: [33][6580/14090]	Time 0.751 (0.770)	Data 0.001 (0.002)	Loss 2.1240 (2.2272)	Prec@1 48.438 (44.177)	Prec@5 76.562 (74.716)
Epoch: [33][6590/14090]	Time 0.760 (0.770)	Data 0.001 (0.002)	Loss 2.1700 (2.2272)	Prec@1 50.781 (44.178)	Prec@5 75.000 (74.716)
Epoch: [33][6600/14090]	Time 1.000 (0.771)	Data 0.001 (0.002)	Loss 2.3686 (2.2272)	Prec@1 40.625 (44.178)	Prec@5 70.312 (74.717)
Epoch: [33][6610/14090]	Time 0.758 (0.770)	Data 0.001 (0.002)	Loss 2.5679 (2.2272)	Prec@1 37.500 (44.180)	Prec@5 68.750 (74.719)
Epoch: [33][6620/14090]	Time 0.749 (0.770)	Data 0.001 (0.002)	Loss 2.1607 (2.2271)	Prec@1 46.875 (44.180)	Prec@5 76.562 (74.720)
Epoch: [33][6630/14090]	Time 0.774 (0.771)	Data 0.001 (0.002)	Loss 2.1330 (2.2273)	Prec@1 46.094 (44.174)	Prec@5 75.781 (74.717)
Epoch: [33][6640/14090]	Time 0.764 (0.771)	Data 0.001 (0.002)	Loss 2.2982 (2.2273)	Prec@1 45.312 (44.174)	Prec@5 70.312 (74.715)
Epoch: [33][6650/14090]	Time 0.726 (0.771)	Data 0.001 (0.002)	Loss 2.5641 (2.2274)	Prec@1 43.750 (44.174)	Prec@5 72.656 (74.715)
Epoch: [33][6660/14090]	Time 0.751 (0.771)	Data 0.001 (0.002)	Loss 2.2450 (2.2274)	Prec@1 45.312 (44.173)	Prec@5 75.781 (74.713)
Epoch: [33][6670/14090]	Time 0.897 (0.771)	Data 0.001 (0.002)	Loss 1.9728 (2.2275)	Prec@1 50.000 (44.172)	Prec@5 79.688 (74.711)
Epoch: [33][6680/14090]	Time 0.740 (0.771)	Data 0.001 (0.002)	Loss 2.2035 (2.2275)	Prec@1 42.188 (44.173)	Prec@5 75.000 (74.710)
Epoch: [33][6690/14090]	Time 0.751 (0.771)	Data 0.001 (0.002)	Loss 2.0935 (2.2275)	Prec@1 46.094 (44.174)	Prec@5 76.562 (74.710)
Epoch: [33][6700/14090]	Time 0.747 (0.771)	Data 0.001 (0.002)	Loss 2.0909 (2.2274)	Prec@1 47.656 (44.177)	Prec@5 78.125 (74.712)
Epoch: [33][6710/14090]	Time 0.769 (0.770)	Data 0.001 (0.002)	Loss 2.4406 (2.2273)	Prec@1 36.719 (44.179)	Prec@5 70.312 (74.710)
Epoch: [33][6720/14090]	Time 0.748 (0.770)	Data 0.001 (0.002)	Loss 2.5136 (2.2273)	Prec@1 42.969 (44.180)	Prec@5 71.094 (74.712)
Epoch: [33][6730/14090]	Time 0.743 (0.770)	Data 0.001 (0.002)	Loss 2.5266 (2.2273)	Prec@1 39.062 (44.178)	Prec@5 68.750 (74.713)
Epoch: [33][6740/14090]	Time 0.906 (0.771)	Data 0.001 (0.002)	Loss 2.2061 (2.2273)	Prec@1 42.969 (44.179)	Prec@5 76.562 (74.714)
Epoch: [33][6750/14090]	Time 0.779 (0.770)	Data 0.001 (0.002)	Loss 2.5952 (2.2274)	Prec@1 36.719 (44.180)	Prec@5 64.844 (74.713)
Epoch: [33][6760/14090]	Time 0.757 (0.770)	Data 0.001 (0.002)	Loss 1.9590 (2.2274)	Prec@1 57.031 (44.180)	Prec@5 75.781 (74.711)
Epoch: [33][6770/14090]	Time 0.733 (0.770)	Data 0.001 (0.002)	Loss 2.1890 (2.2275)	Prec@1 43.750 (44.181)	Prec@5 78.125 (74.710)
Epoch: [33][6780/14090]	Time 0.738 (0.770)	Data 0.001 (0.002)	Loss 2.4376 (2.2274)	Prec@1 43.750 (44.181)	Prec@5 69.531 (74.711)
Epoch: [33][6790/14090]	Time 0.760 (0.770)	Data 0.001 (0.002)	Loss 1.9109 (2.2274)	Prec@1 45.312 (44.181)	Prec@5 86.719 (74.712)
Epoch: [33][6800/14090]	Time 0.779 (0.770)	Data 0.001 (0.002)	Loss 2.1714 (2.2273)	Prec@1 49.219 (44.185)	Prec@5 73.438 (74.713)
Epoch: [33][6810/14090]	Time 0.892 (0.770)	Data 0.001 (0.002)	Loss 2.1839 (2.2274)	Prec@1 41.406 (44.182)	Prec@5 75.000 (74.711)
Epoch: [33][6820/14090]	Time 0.743 (0.770)	Data 0.001 (0.002)	Loss 1.8072 (2.2273)	Prec@1 53.906 (44.183)	Prec@5 85.156 (74.713)
Epoch: [33][6830/14090]	Time 0.743 (0.770)	Data 0.001 (0.002)	Loss 2.2126 (2.2273)	Prec@1 45.312 (44.184)	Prec@5 75.000 (74.715)
Epoch: [33][6840/14090]	Time 0.762 (0.770)	Data 0.001 (0.002)	Loss 2.3005 (2.2274)	Prec@1 45.312 (44.182)	Prec@5 74.219 (74.712)
Epoch: [33][6850/14090]	Time 0.752 (0.770)	Data 0.001 (0.002)	Loss 2.1885 (2.2272)	Prec@1 50.000 (44.188)	Prec@5 75.781 (74.714)
Epoch: [33][6860/14090]	Time 0.726 (0.770)	Data 0.001 (0.002)	Loss 2.3851 (2.2272)	Prec@1 43.750 (44.187)	Prec@5 77.344 (74.713)
Epoch: [33][6870/14090]	Time 0.747 (0.770)	Data 0.001 (0.002)	Loss 2.2144 (2.2273)	Prec@1 42.969 (44.185)	Prec@5 73.438 (74.711)
Epoch: [33][6880/14090]	Time 0.945 (0.770)	Data 0.001 (0.002)	Loss 2.0470 (2.2272)	Prec@1 48.438 (44.186)	Prec@5 75.000 (74.714)
Epoch: [33][6890/14090]	Time 0.747 (0.770)	Data 0.001 (0.002)	Loss 2.1068 (2.2270)	Prec@1 42.188 (44.190)	Prec@5 79.688 (74.715)
Epoch: [33][6900/14090]	Time 0.758 (0.770)	Data 0.001 (0.002)	Loss 2.3176 (2.2269)	Prec@1 45.312 (44.193)	Prec@5 73.438 (74.718)
Epoch: [33][6910/14090]	Time 0.756 (0.770)	Data 0.001 (0.002)	Loss 2.0665 (2.2268)	Prec@1 47.656 (44.193)	Prec@5 76.562 (74.719)
Epoch: [33][6920/14090]	Time 0.747 (0.770)	Data 0.001 (0.002)	Loss 2.2962 (2.2268)	Prec@1 41.406 (44.191)	Prec@5 71.094 (74.717)
Epoch: [33][6930/14090]	Time 0.725 (0.770)	Data 0.001 (0.002)	Loss 2.3211 (2.2269)	Prec@1 42.969 (44.192)	Prec@5 74.219 (74.717)
Epoch: [33][6940/14090]	Time 0.727 (0.770)	Data 0.001 (0.002)	Loss 2.2475 (2.2268)	Prec@1 43.750 (44.193)	Prec@5 75.000 (74.720)
Epoch: [33][6950/14090]	Time 0.879 (0.770)	Data 0.001 (0.002)	Loss 2.2628 (2.2268)	Prec@1 46.875 (44.192)	Prec@5 71.094 (74.719)
Epoch: [33][6960/14090]	Time 0.732 (0.770)	Data 0.001 (0.002)	Loss 2.3011 (2.2268)	Prec@1 45.312 (44.190)	Prec@5 75.781 (74.718)
Epoch: [33][6970/14090]	Time 0.743 (0.770)	Data 0.001 (0.002)	Loss 2.3204 (2.2270)	Prec@1 39.062 (44.188)	Prec@5 72.656 (74.714)
Epoch: [33][6980/14090]	Time 0.752 (0.770)	Data 0.001 (0.002)	Loss 2.3806 (2.2270)	Prec@1 40.625 (44.189)	Prec@5 67.969 (74.714)
Epoch: [33][6990/14090]	Time 0.747 (0.770)	Data 0.001 (0.002)	Loss 2.2535 (2.2270)	Prec@1 38.281 (44.189)	Prec@5 73.438 (74.715)
Epoch: [33][7000/14090]	Time 0.751 (0.770)	Data 0.001 (0.002)	Loss 2.4982 (2.2271)	Prec@1 42.188 (44.190)	Prec@5 68.750 (74.714)
Epoch: [33][7010/14090]	Time 0.754 (0.770)	Data 0.001 (0.002)	Loss 2.5720 (2.2271)	Prec@1 35.156 (44.189)	Prec@5 65.625 (74.711)
Epoch: [33][7020/14090]	Time 0.836 (0.770)	Data 0.001 (0.002)	Loss 2.0989 (2.2272)	Prec@1 44.531 (44.187)	Prec@5 77.344 (74.710)
Epoch: [33][7030/14090]	Time 0.735 (0.770)	Data 0.001 (0.002)	Loss 2.3294 (2.2273)	Prec@1 45.312 (44.184)	Prec@5 70.312 (74.705)
Epoch: [33][7040/14090]	Time 0.746 (0.770)	Data 0.001 (0.002)	Loss 2.0814 (2.2273)	Prec@1 42.188 (44.183)	Prec@5 76.562 (74.709)
Epoch: [33][7050/14090]	Time 0.755 (0.770)	Data 0.001 (0.002)	Loss 2.1848 (2.2273)	Prec@1 42.969 (44.183)	Prec@5 75.781 (74.707)
Epoch: [33][7060/14090]	Time 0.762 (0.770)	Data 0.001 (0.002)	Loss 2.1750 (2.2274)	Prec@1 47.656 (44.183)	Prec@5 77.344 (74.705)
Epoch: [33][7070/14090]	Time 0.740 (0.770)	Data 0.001 (0.002)	Loss 1.9449 (2.2273)	Prec@1 52.344 (44.184)	Prec@5 78.125 (74.706)
Epoch: [33][7080/14090]	Time 0.731 (0.770)	Data 0.001 (0.002)	Loss 2.5322 (2.2273)	Prec@1 31.250 (44.180)	Prec@5 67.969 (74.705)
Epoch: [33][7090/14090]	Time 0.877 (0.770)	Data 0.001 (0.002)	Loss 2.0604 (2.2274)	Prec@1 55.469 (44.179)	Prec@5 75.781 (74.704)
Epoch: [33][7100/14090]	Time 0.740 (0.770)	Data 0.001 (0.002)	Loss 2.5281 (2.2274)	Prec@1 39.844 (44.180)	Prec@5 73.438 (74.705)
Epoch: [33][7110/14090]	Time 0.734 (0.770)	Data 0.001 (0.002)	Loss 2.4117 (2.2273)	Prec@1 42.969 (44.182)	Prec@5 67.188 (74.704)
Epoch: [33][7120/14090]	Time 0.764 (0.770)	Data 0.001 (0.002)	Loss 2.2876 (2.2273)	Prec@1 34.375 (44.181)	Prec@5 75.000 (74.708)
Epoch: [33][7130/14090]	Time 0.761 (0.770)	Data 0.001 (0.002)	Loss 1.8907 (2.2273)	Prec@1 57.812 (44.182)	Prec@5 77.344 (74.706)
Epoch: [33][7140/14090]	Time 0.749 (0.770)	Data 0.001 (0.002)	Loss 2.1509 (2.2273)	Prec@1 44.531 (44.182)	Prec@5 75.000 (74.707)
Epoch: [33][7150/14090]	Time 0.798 (0.770)	Data 0.001 (0.002)	Loss 2.3379 (2.2273)	Prec@1 46.094 (44.183)	Prec@5 75.781 (74.709)
Epoch: [33][7160/14090]	Time 1.041 (0.770)	Data 0.001 (0.002)	Loss 2.3469 (2.2274)	Prec@1 44.531 (44.183)	Prec@5 67.969 (74.708)
Epoch: [33][7170/14090]	Time 0.738 (0.770)	Data 0.001 (0.002)	Loss 2.1243 (2.2273)	Prec@1 44.531 (44.186)	Prec@5 72.656 (74.708)
Epoch: [33][7180/14090]	Time 0.743 (0.770)	Data 0.001 (0.002)	Loss 2.4200 (2.2274)	Prec@1 39.062 (44.185)	Prec@5 73.438 (74.707)
Epoch: [33][7190/14090]	Time 0.728 (0.770)	Data 0.001 (0.002)	Loss 2.0475 (2.2274)	Prec@1 46.875 (44.186)	Prec@5 80.469 (74.707)
Epoch: [33][7200/14090]	Time 0.751 (0.770)	Data 0.001 (0.002)	Loss 2.3999 (2.2274)	Prec@1 40.625 (44.185)	Prec@5 68.750 (74.708)
Epoch: [33][7210/14090]	Time 0.752 (0.770)	Data 0.001 (0.002)	Loss 2.1777 (2.2273)	Prec@1 46.094 (44.185)	Prec@5 76.562 (74.711)
Epoch: [33][7220/14090]	Time 0.723 (0.770)	Data 0.001 (0.002)	Loss 2.1112 (2.2272)	Prec@1 49.219 (44.188)	Prec@5 72.656 (74.715)
Epoch: [33][7230/14090]	Time 0.872 (0.770)	Data 0.001 (0.002)	Loss 2.2115 (2.2272)	Prec@1 47.656 (44.188)	Prec@5 78.125 (74.714)
Epoch: [33][7240/14090]	Time 0.761 (0.770)	Data 0.001 (0.002)	Loss 1.9107 (2.2271)	Prec@1 45.312 (44.189)	Prec@5 79.688 (74.715)
Epoch: [33][7250/14090]	Time 0.760 (0.770)	Data 0.001 (0.002)	Loss 2.3211 (2.2271)	Prec@1 44.531 (44.191)	Prec@5 71.094 (74.715)
Epoch: [33][7260/14090]	Time 0.751 (0.770)	Data 0.001 (0.002)	Loss 2.1475 (2.2271)	Prec@1 45.312 (44.191)	Prec@5 75.781 (74.715)
Epoch: [33][7270/14090]	Time 0.777 (0.770)	Data 0.001 (0.002)	Loss 2.0440 (2.2270)	Prec@1 46.094 (44.191)	Prec@5 79.688 (74.717)
Epoch: [33][7280/14090]	Time 0.754 (0.770)	Data 0.001 (0.002)	Loss 1.9680 (2.2270)	Prec@1 52.344 (44.193)	Prec@5 77.344 (74.718)
Epoch: [33][7290/14090]	Time 0.720 (0.770)	Data 0.001 (0.002)	Loss 2.1290 (2.2270)	Prec@1 45.312 (44.192)	Prec@5 79.688 (74.718)
Epoch: [33][7300/14090]	Time 0.908 (0.770)	Data 0.001 (0.002)	Loss 2.3100 (2.2270)	Prec@1 47.656 (44.193)	Prec@5 73.438 (74.717)
Epoch: [33][7310/14090]	Time 0.754 (0.770)	Data 0.001 (0.002)	Loss 2.1361 (2.2269)	Prec@1 41.406 (44.194)	Prec@5 74.219 (74.718)
Epoch: [33][7320/14090]	Time 0.743 (0.770)	Data 0.001 (0.001)	Loss 2.1557 (2.2270)	Prec@1 50.000 (44.193)	Prec@5 77.344 (74.718)
Epoch: [33][7330/14090]	Time 0.727 (0.770)	Data 0.001 (0.001)	Loss 2.2865 (2.2270)	Prec@1 42.188 (44.192)	Prec@5 73.438 (74.717)
Epoch: [33][7340/14090]	Time 0.753 (0.770)	Data 0.001 (0.001)	Loss 2.0126 (2.2270)	Prec@1 45.312 (44.192)	Prec@5 76.562 (74.715)
Epoch: [33][7350/14090]	Time 0.753 (0.770)	Data 0.001 (0.001)	Loss 2.3330 (2.2271)	Prec@1 41.406 (44.189)	Prec@5 73.438 (74.715)
Epoch: [33][7360/14090]	Time 0.750 (0.770)	Data 0.001 (0.001)	Loss 1.8409 (2.2270)	Prec@1 52.344 (44.190)	Prec@5 82.812 (74.715)
Epoch: [33][7370/14090]	Time 0.923 (0.770)	Data 0.001 (0.001)	Loss 2.4587 (2.2273)	Prec@1 39.844 (44.184)	Prec@5 66.406 (74.711)
Epoch: [33][7380/14090]	Time 0.737 (0.770)	Data 0.001 (0.001)	Loss 2.2216 (2.2273)	Prec@1 43.750 (44.184)	Prec@5 73.438 (74.711)
Epoch: [33][7390/14090]	Time 0.755 (0.770)	Data 0.001 (0.001)	Loss 2.3415 (2.2274)	Prec@1 42.969 (44.183)	Prec@5 72.656 (74.710)
Epoch: [33][7400/14090]	Time 0.747 (0.770)	Data 0.001 (0.001)	Loss 2.1822 (2.2275)	Prec@1 39.844 (44.180)	Prec@5 78.125 (74.709)
Epoch: [33][7410/14090]	Time 0.761 (0.770)	Data 0.001 (0.001)	Loss 1.9720 (2.2274)	Prec@1 51.562 (44.181)	Prec@5 80.469 (74.710)
Epoch: [33][7420/14090]	Time 0.741 (0.770)	Data 0.001 (0.001)	Loss 2.1429 (2.2274)	Prec@1 41.406 (44.178)	Prec@5 78.906 (74.710)
Epoch: [33][7430/14090]	Time 0.760 (0.770)	Data 0.001 (0.001)	Loss 2.1199 (2.2274)	Prec@1 44.531 (44.180)	Prec@5 76.562 (74.711)
Epoch: [33][7440/14090]	Time 0.844 (0.770)	Data 0.001 (0.001)	Loss 2.0743 (2.2274)	Prec@1 45.312 (44.180)	Prec@5 77.344 (74.711)
Epoch: [33][7450/14090]	Time 0.752 (0.770)	Data 0.001 (0.001)	Loss 2.1315 (2.2273)	Prec@1 46.875 (44.180)	Prec@5 74.219 (74.711)
Epoch: [33][7460/14090]	Time 0.762 (0.770)	Data 0.001 (0.001)	Loss 2.0439 (2.2273)	Prec@1 46.875 (44.180)	Prec@5 78.906 (74.711)
Epoch: [33][7470/14090]	Time 0.740 (0.770)	Data 0.001 (0.001)	Loss 2.3467 (2.2272)	Prec@1 39.844 (44.182)	Prec@5 69.531 (74.711)
Epoch: [33][7480/14090]	Time 0.757 (0.770)	Data 0.001 (0.001)	Loss 2.2197 (2.2272)	Prec@1 44.531 (44.181)	Prec@5 72.656 (74.711)
Epoch: [33][7490/14090]	Time 0.738 (0.770)	Data 0.001 (0.001)	Loss 2.1488 (2.2272)	Prec@1 38.281 (44.181)	Prec@5 72.656 (74.713)
Epoch: [33][7500/14090]	Time 0.731 (0.770)	Data 0.001 (0.001)	Loss 2.2162 (2.2273)	Prec@1 45.312 (44.179)	Prec@5 72.656 (74.713)
Epoch: [33][7510/14090]	Time 0.912 (0.770)	Data 0.001 (0.001)	Loss 2.2146 (2.2273)	Prec@1 45.312 (44.179)	Prec@5 75.000 (74.712)
Epoch: [33][7520/14090]	Time 0.752 (0.770)	Data 0.001 (0.001)	Loss 2.1740 (2.2273)	Prec@1 49.219 (44.179)	Prec@5 75.781 (74.710)
Epoch: [33][7530/14090]	Time 0.728 (0.770)	Data 0.001 (0.001)	Loss 2.1541 (2.2275)	Prec@1 40.625 (44.174)	Prec@5 80.469 (74.708)
Epoch: [33][7540/14090]	Time 0.739 (0.770)	Data 0.001 (0.001)	Loss 2.1521 (2.2275)	Prec@1 43.750 (44.175)	Prec@5 78.125 (74.709)
Epoch: [33][7550/14090]	Time 0.750 (0.770)	Data 0.001 (0.001)	Loss 2.0606 (2.2276)	Prec@1 50.000 (44.173)	Prec@5 81.250 (74.707)
Epoch: [33][7560/14090]	Time 0.753 (0.770)	Data 0.001 (0.001)	Loss 2.0833 (2.2276)	Prec@1 45.312 (44.175)	Prec@5 77.344 (74.707)
Epoch: [33][7570/14090]	Time 0.736 (0.770)	Data 0.001 (0.001)	Loss 2.2550 (2.2276)	Prec@1 46.094 (44.173)	Prec@5 75.000 (74.707)
Epoch: [33][7580/14090]	Time 0.858 (0.770)	Data 0.001 (0.001)	Loss 2.6070 (2.2276)	Prec@1 36.719 (44.174)	Prec@5 68.750 (74.706)
Epoch: [33][7590/14090]	Time 0.740 (0.770)	Data 0.001 (0.001)	Loss 2.3282 (2.2277)	Prec@1 39.844 (44.171)	Prec@5 75.000 (74.706)
Epoch: [33][7600/14090]	Time 0.737 (0.770)	Data 0.002 (0.001)	Loss 2.1014 (2.2278)	Prec@1 48.438 (44.171)	Prec@5 77.344 (74.706)
Epoch: [33][7610/14090]	Time 0.737 (0.770)	Data 0.001 (0.001)	Loss 2.0546 (2.2277)	Prec@1 47.656 (44.172)	Prec@5 77.344 (74.706)
Epoch: [33][7620/14090]	Time 0.765 (0.770)	Data 0.001 (0.001)	Loss 1.9241 (2.2277)	Prec@1 50.000 (44.172)	Prec@5 81.250 (74.708)
Epoch: [33][7630/14090]	Time 0.734 (0.770)	Data 0.001 (0.001)	Loss 2.1829 (2.2278)	Prec@1 47.656 (44.171)	Prec@5 74.219 (74.707)
Epoch: [33][7640/14090]	Time 0.727 (0.770)	Data 0.001 (0.001)	Loss 2.3260 (2.2278)	Prec@1 39.844 (44.169)	Prec@5 72.656 (74.705)
Epoch: [33][7650/14090]	Time 0.864 (0.770)	Data 0.001 (0.001)	Loss 2.2429 (2.2278)	Prec@1 47.656 (44.168)	Prec@5 76.562 (74.704)
Epoch: [33][7660/14090]	Time 0.760 (0.770)	Data 0.001 (0.001)	Loss 2.0274 (2.2278)	Prec@1 49.219 (44.169)	Prec@5 80.469 (74.705)
Epoch: [33][7670/14090]	Time 0.738 (0.770)	Data 0.001 (0.001)	Loss 1.9220 (2.2277)	Prec@1 46.094 (44.171)	Prec@5 82.031 (74.707)
Epoch: [33][7680/14090]	Time 0.752 (0.770)	Data 0.001 (0.001)	Loss 2.5685 (2.2277)	Prec@1 41.406 (44.171)	Prec@5 70.312 (74.707)
Epoch: [33][7690/14090]	Time 0.758 (0.770)	Data 0.001 (0.001)	Loss 2.0874 (2.2276)	Prec@1 46.094 (44.171)	Prec@5 81.250 (74.710)
Epoch: [33][7700/14090]	Time 0.754 (0.770)	Data 0.001 (0.001)	Loss 2.2878 (2.2276)	Prec@1 44.531 (44.172)	Prec@5 73.438 (74.710)
Epoch: [33][7710/14090]	Time 0.744 (0.770)	Data 0.001 (0.001)	Loss 2.3072 (2.2277)	Prec@1 41.406 (44.170)	Prec@5 75.781 (74.709)
Epoch: [33][7720/14090]	Time 0.899 (0.770)	Data 0.001 (0.001)	Loss 1.9544 (2.2276)	Prec@1 50.781 (44.169)	Prec@5 79.688 (74.710)
Epoch: [33][7730/14090]	Time 0.742 (0.770)	Data 0.001 (0.001)	Loss 2.0188 (2.2276)	Prec@1 48.438 (44.168)	Prec@5 81.250 (74.710)
Epoch: [33][7740/14090]	Time 0.771 (0.770)	Data 0.001 (0.001)	Loss 2.3746 (2.2277)	Prec@1 44.531 (44.168)	Prec@5 70.312 (74.708)
Epoch: [33][7750/14090]	Time 0.723 (0.770)	Data 0.001 (0.001)	Loss 2.2166 (2.2277)	Prec@1 44.531 (44.167)	Prec@5 75.781 (74.707)
Epoch: [33][7760/14090]	Time 0.747 (0.770)	Data 0.001 (0.001)	Loss 2.0019 (2.2276)	Prec@1 39.062 (44.168)	Prec@5 83.594 (74.710)
Epoch: [33][7770/14090]	Time 0.764 (0.770)	Data 0.001 (0.001)	Loss 2.2543 (2.2277)	Prec@1 43.750 (44.165)	Prec@5 75.781 (74.710)
Epoch: [33][7780/14090]	Time 0.720 (0.770)	Data 0.001 (0.001)	Loss 2.4597 (2.2277)	Prec@1 42.969 (44.167)	Prec@5 73.438 (74.709)
Epoch: [33][7790/14090]	Time 0.919 (0.770)	Data 0.001 (0.001)	Loss 2.1127 (2.2277)	Prec@1 44.531 (44.165)	Prec@5 78.906 (74.710)
Epoch: [33][7800/14090]	Time 0.733 (0.770)	Data 0.001 (0.001)	Loss 2.2845 (2.2278)	Prec@1 38.281 (44.164)	Prec@5 77.344 (74.709)
Epoch: [33][7810/14090]	Time 0.747 (0.770)	Data 0.001 (0.001)	Loss 2.1842 (2.2278)	Prec@1 44.531 (44.163)	Prec@5 75.781 (74.710)
Epoch: [33][7820/14090]	Time 0.754 (0.770)	Data 0.001 (0.001)	Loss 2.0946 (2.2277)	Prec@1 44.531 (44.165)	Prec@5 75.781 (74.711)
Epoch: [33][7830/14090]	Time 0.747 (0.770)	Data 0.001 (0.001)	Loss 2.1590 (2.2276)	Prec@1 51.562 (44.166)	Prec@5 75.781 (74.713)
Epoch: [33][7840/14090]	Time 0.734 (0.770)	Data 0.001 (0.001)	Loss 2.3088 (2.2277)	Prec@1 45.312 (44.166)	Prec@5 73.438 (74.712)
Epoch: [33][7850/14090]	Time 0.755 (0.770)	Data 0.001 (0.001)	Loss 2.2667 (2.2277)	Prec@1 42.188 (44.164)	Prec@5 73.438 (74.711)
Epoch: [33][7860/14090]	Time 0.912 (0.770)	Data 0.001 (0.001)	Loss 2.2228 (2.2277)	Prec@1 45.312 (44.165)	Prec@5 74.219 (74.712)
Epoch: [33][7870/14090]	Time 0.755 (0.770)	Data 0.001 (0.001)	Loss 2.3133 (2.2278)	Prec@1 41.406 (44.163)	Prec@5 69.531 (74.712)
Epoch: [33][7880/14090]	Time 0.782 (0.770)	Data 0.001 (0.001)	Loss 2.5221 (2.2278)	Prec@1 36.719 (44.161)	Prec@5 67.188 (74.711)
Epoch: [33][7890/14090]	Time 0.782 (0.770)	Data 0.001 (0.001)	Loss 2.1132 (2.2278)	Prec@1 46.094 (44.163)	Prec@5 78.125 (74.708)
Epoch: [33][7900/14090]	Time 0.757 (0.770)	Data 0.001 (0.001)	Loss 2.1312 (2.2278)	Prec@1 46.094 (44.164)	Prec@5 73.438 (74.709)
Epoch: [33][7910/14090]	Time 0.743 (0.770)	Data 0.001 (0.001)	Loss 2.5103 (2.2279)	Prec@1 39.062 (44.163)	Prec@5 75.000 (74.710)
Epoch: [33][7920/14090]	Time 0.771 (0.770)	Data 0.001 (0.001)	Loss 1.9382 (2.2278)	Prec@1 48.438 (44.165)	Prec@5 81.250 (74.712)
Epoch: [33][7930/14090]	Time 0.845 (0.770)	Data 0.001 (0.001)	Loss 2.1967 (2.2278)	Prec@1 41.406 (44.163)	Prec@5 78.906 (74.712)
Epoch: [33][7940/14090]	Time 0.762 (0.770)	Data 0.001 (0.001)	Loss 2.2409 (2.2279)	Prec@1 39.062 (44.161)	Prec@5 73.438 (74.712)
Epoch: [33][7950/14090]	Time 0.741 (0.770)	Data 0.001 (0.001)	Loss 2.4589 (2.2278)	Prec@1 38.281 (44.161)	Prec@5 71.094 (74.713)
Epoch: [33][7960/14090]	Time 0.757 (0.770)	Data 0.001 (0.001)	Loss 2.3460 (2.2279)	Prec@1 42.969 (44.160)	Prec@5 68.750 (74.711)
Epoch: [33][7970/14090]	Time 0.746 (0.770)	Data 0.001 (0.001)	Loss 2.2107 (2.2279)	Prec@1 47.656 (44.159)	Prec@5 71.875 (74.711)
Epoch: [33][7980/14090]	Time 0.774 (0.770)	Data 0.001 (0.001)	Loss 2.0078 (2.2279)	Prec@1 47.656 (44.159)	Prec@5 76.562 (74.708)
Epoch: [33][7990/14090]	Time 0.726 (0.770)	Data 0.001 (0.001)	Loss 2.0641 (2.2280)	Prec@1 43.750 (44.157)	Prec@5 79.688 (74.706)
Epoch: [33][8000/14090]	Time 0.890 (0.770)	Data 0.001 (0.001)	Loss 2.0498 (2.2280)	Prec@1 45.312 (44.156)	Prec@5 78.125 (74.706)
Epoch: [33][8010/14090]	Time 0.732 (0.770)	Data 0.001 (0.001)	Loss 2.2470 (2.2281)	Prec@1 41.406 (44.153)	Prec@5 73.438 (74.705)
Epoch: [33][8020/14090]	Time 0.776 (0.770)	Data 0.001 (0.001)	Loss 1.9726 (2.2279)	Prec@1 54.688 (44.158)	Prec@5 82.031 (74.708)
Epoch: [33][8030/14090]	Time 0.762 (0.770)	Data 0.001 (0.001)	Loss 2.4121 (2.2279)	Prec@1 43.750 (44.159)	Prec@5 67.188 (74.708)
Epoch: [33][8040/14090]	Time 0.757 (0.770)	Data 0.001 (0.001)	Loss 2.1446 (2.2278)	Prec@1 44.531 (44.161)	Prec@5 78.125 (74.709)
Epoch: [33][8050/14090]	Time 0.763 (0.770)	Data 0.001 (0.001)	Loss 2.4479 (2.2279)	Prec@1 39.062 (44.158)	Prec@5 69.531 (74.708)
Epoch: [33][8060/14090]	Time 0.739 (0.770)	Data 0.001 (0.001)	Loss 2.1387 (2.2279)	Prec@1 43.750 (44.156)	Prec@5 82.812 (74.708)
Epoch: [33][8070/14090]	Time 0.892 (0.770)	Data 0.001 (0.001)	Loss 2.5599 (2.2280)	Prec@1 39.844 (44.155)	Prec@5 69.531 (74.707)
Epoch: [33][8080/14090]	Time 0.755 (0.770)	Data 0.001 (0.001)	Loss 2.1812 (2.2280)	Prec@1 46.094 (44.155)	Prec@5 75.000 (74.708)
Epoch: [33][8090/14090]	Time 0.726 (0.770)	Data 0.001 (0.001)	Loss 2.3222 (2.2280)	Prec@1 46.094 (44.154)	Prec@5 71.875 (74.706)
Epoch: [33][8100/14090]	Time 0.763 (0.770)	Data 0.001 (0.001)	Loss 2.2996 (2.2280)	Prec@1 41.406 (44.154)	Prec@5 72.656 (74.705)
Epoch: [33][8110/14090]	Time 0.730 (0.770)	Data 0.001 (0.001)	Loss 2.3503 (2.2280)	Prec@1 43.750 (44.156)	Prec@5 72.656 (74.704)
Epoch: [33][8120/14090]	Time 0.743 (0.770)	Data 0.001 (0.001)	Loss 2.1349 (2.2280)	Prec@1 46.094 (44.157)	Prec@5 76.562 (74.704)
Epoch: [33][8130/14090]	Time 0.759 (0.770)	Data 0.001 (0.001)	Loss 2.1984 (2.2279)	Prec@1 46.094 (44.158)	Prec@5 75.000 (74.705)
Epoch: [33][8140/14090]	Time 0.848 (0.770)	Data 0.001 (0.001)	Loss 2.2123 (2.2280)	Prec@1 42.969 (44.153)	Prec@5 71.875 (74.704)
Epoch: [33][8150/14090]	Time 0.739 (0.770)	Data 0.001 (0.001)	Loss 2.4072 (2.2281)	Prec@1 38.281 (44.151)	Prec@5 71.875 (74.703)
Epoch: [33][8160/14090]	Time 0.748 (0.770)	Data 0.001 (0.001)	Loss 2.2052 (2.2280)	Prec@1 47.656 (44.152)	Prec@5 75.000 (74.707)
Epoch: [33][8170/14090]	Time 0.739 (0.770)	Data 0.001 (0.001)	Loss 2.4793 (2.2280)	Prec@1 37.500 (44.152)	Prec@5 74.219 (74.708)
Epoch: [33][8180/14090]	Time 0.762 (0.770)	Data 0.001 (0.001)	Loss 2.4292 (2.2281)	Prec@1 37.500 (44.149)	Prec@5 71.875 (74.707)
Epoch: [33][8190/14090]	Time 0.752 (0.770)	Data 0.001 (0.001)	Loss 2.1534 (2.2282)	Prec@1 41.406 (44.145)	Prec@5 79.688 (74.708)
Epoch: [33][8200/14090]	Time 0.757 (0.770)	Data 0.001 (0.001)	Loss 2.3442 (2.2281)	Prec@1 38.281 (44.146)	Prec@5 75.000 (74.709)
Epoch: [33][8210/14090]	Time 0.863 (0.770)	Data 0.001 (0.001)	Loss 2.1354 (2.2282)	Prec@1 42.969 (44.147)	Prec@5 78.906 (74.709)
Epoch: [33][8220/14090]	Time 0.736 (0.770)	Data 0.001 (0.001)	Loss 2.1053 (2.2281)	Prec@1 48.438 (44.148)	Prec@5 76.562 (74.709)
Epoch: [33][8230/14090]	Time 0.740 (0.770)	Data 0.001 (0.001)	Loss 2.3766 (2.2282)	Prec@1 42.188 (44.146)	Prec@5 70.312 (74.707)
Epoch: [33][8240/14090]	Time 0.738 (0.770)	Data 0.001 (0.001)	Loss 2.4167 (2.2283)	Prec@1 46.094 (44.146)	Prec@5 72.656 (74.708)
Epoch: [33][8250/14090]	Time 0.733 (0.770)	Data 0.001 (0.001)	Loss 2.1616 (2.2283)	Prec@1 47.656 (44.148)	Prec@5 72.656 (74.707)
Epoch: [33][8260/14090]	Time 0.752 (0.770)	Data 0.001 (0.001)	Loss 2.1034 (2.2282)	Prec@1 48.438 (44.149)	Prec@5 78.125 (74.708)
Epoch: [33][8270/14090]	Time 0.737 (0.770)	Data 0.001 (0.001)	Loss 2.2250 (2.2284)	Prec@1 41.406 (44.142)	Prec@5 72.656 (74.704)
Epoch: [33][8280/14090]	Time 0.873 (0.770)	Data 0.001 (0.001)	Loss 2.2835 (2.2284)	Prec@1 42.969 (44.143)	Prec@5 70.312 (74.705)
Epoch: [33][8290/14090]	Time 0.751 (0.770)	Data 0.001 (0.001)	Loss 2.0555 (2.2284)	Prec@1 50.781 (44.143)	Prec@5 78.125 (74.704)
Epoch: [33][8300/14090]	Time 0.780 (0.770)	Data 0.001 (0.001)	Loss 2.4012 (2.2284)	Prec@1 41.406 (44.142)	Prec@5 71.094 (74.704)
Epoch: [33][8310/14090]	Time 0.720 (0.770)	Data 0.001 (0.001)	Loss 2.4654 (2.2284)	Prec@1 42.969 (44.143)	Prec@5 71.094 (74.701)
Epoch: [33][8320/14090]	Time 0.759 (0.770)	Data 0.001 (0.001)	Loss 2.3153 (2.2285)	Prec@1 46.875 (44.144)	Prec@5 75.000 (74.700)
Epoch: [33][8330/14090]	Time 0.756 (0.770)	Data 0.001 (0.001)	Loss 2.8152 (2.2285)	Prec@1 29.688 (44.146)	Prec@5 60.938 (74.699)
Epoch: [33][8340/14090]	Time 0.735 (0.770)	Data 0.001 (0.001)	Loss 2.2487 (2.2284)	Prec@1 42.969 (44.145)	Prec@5 74.219 (74.701)
Epoch: [33][8350/14090]	Time 0.929 (0.770)	Data 0.001 (0.001)	Loss 2.0357 (2.2285)	Prec@1 50.781 (44.142)	Prec@5 78.125 (74.700)
Epoch: [33][8360/14090]	Time 0.726 (0.770)	Data 0.001 (0.001)	Loss 2.3893 (2.2284)	Prec@1 41.406 (44.143)	Prec@5 73.438 (74.701)
Epoch: [33][8370/14090]	Time 0.753 (0.770)	Data 0.001 (0.001)	Loss 2.1101 (2.2284)	Prec@1 49.219 (44.143)	Prec@5 74.219 (74.702)
Epoch: [33][8380/14090]	Time 0.761 (0.770)	Data 0.001 (0.001)	Loss 2.2267 (2.2283)	Prec@1 47.656 (44.144)	Prec@5 72.656 (74.702)
Epoch: [33][8390/14090]	Time 0.746 (0.770)	Data 0.001 (0.001)	Loss 2.4140 (2.2284)	Prec@1 39.844 (44.144)	Prec@5 68.750 (74.700)
Epoch: [33][8400/14090]	Time 0.750 (0.770)	Data 0.001 (0.001)	Loss 2.2383 (2.2284)	Prec@1 41.406 (44.143)	Prec@5 76.562 (74.699)
Epoch: [33][8410/14090]	Time 0.761 (0.770)	Data 0.001 (0.001)	Loss 2.1973 (2.2284)	Prec@1 42.188 (44.142)	Prec@5 78.906 (74.699)
Epoch: [33][8420/14090]	Time 0.891 (0.770)	Data 0.001 (0.001)	Loss 2.1940 (2.2285)	Prec@1 46.875 (44.142)	Prec@5 75.781 (74.700)
Epoch: [33][8430/14090]	Time 0.747 (0.770)	Data 0.001 (0.001)	Loss 2.1114 (2.2285)	Prec@1 48.438 (44.141)	Prec@5 75.781 (74.699)
Epoch: [33][8440/14090]	Time 0.750 (0.770)	Data 0.001 (0.001)	Loss 2.5254 (2.2287)	Prec@1 40.625 (44.138)	Prec@5 71.094 (74.698)
Epoch: [33][8450/14090]	Time 0.744 (0.770)	Data 0.001 (0.001)	Loss 2.3184 (2.2287)	Prec@1 44.531 (44.139)	Prec@5 73.438 (74.696)
Epoch: [33][8460/14090]	Time 0.759 (0.770)	Data 0.001 (0.001)	Loss 2.2684 (2.2286)	Prec@1 34.375 (44.137)	Prec@5 78.906 (74.697)
Epoch: [33][8470/14090]	Time 0.738 (0.770)	Data 0.001 (0.001)	Loss 2.1525 (2.2287)	Prec@1 41.406 (44.137)	Prec@5 74.219 (74.697)
Epoch: [33][8480/14090]	Time 0.738 (0.770)	Data 0.001 (0.001)	Loss 2.1677 (2.2286)	Prec@1 44.531 (44.136)	Prec@5 73.438 (74.697)
Epoch: [33][8490/14090]	Time 0.854 (0.770)	Data 0.003 (0.001)	Loss 1.8720 (2.2286)	Prec@1 48.438 (44.136)	Prec@5 83.594 (74.698)
Epoch: [33][8500/14090]	Time 0.748 (0.770)	Data 0.001 (0.001)	Loss 2.0673 (2.2286)	Prec@1 42.969 (44.136)	Prec@5 78.125 (74.698)
Epoch: [33][8510/14090]	Time 0.754 (0.770)	Data 0.001 (0.001)	Loss 2.2123 (2.2286)	Prec@1 43.750 (44.135)	Prec@5 73.438 (74.699)
Epoch: [33][8520/14090]	Time 0.718 (0.770)	Data 0.001 (0.001)	Loss 2.2975 (2.2287)	Prec@1 39.062 (44.131)	Prec@5 72.656 (74.697)
Epoch: [33][8530/14090]	Time 0.756 (0.770)	Data 0.001 (0.001)	Loss 2.2773 (2.2287)	Prec@1 40.625 (44.129)	Prec@5 72.656 (74.697)
Epoch: [33][8540/14090]	Time 0.756 (0.770)	Data 0.001 (0.001)	Loss 1.8720 (2.2286)	Prec@1 53.125 (44.132)	Prec@5 78.906 (74.699)
Epoch: [33][8550/14090]	Time 0.764 (0.770)	Data 0.001 (0.001)	Loss 2.3741 (2.2287)	Prec@1 41.406 (44.131)	Prec@5 67.969 (74.697)
Epoch: [33][8560/14090]	Time 0.922 (0.770)	Data 0.001 (0.001)	Loss 2.1532 (2.2287)	Prec@1 41.406 (44.131)	Prec@5 79.688 (74.698)
Epoch: [33][8570/14090]	Time 0.756 (0.770)	Data 0.001 (0.001)	Loss 2.3201 (2.2287)	Prec@1 39.844 (44.130)	Prec@5 73.438 (74.699)
Epoch: [33][8580/14090]	Time 0.741 (0.770)	Data 0.001 (0.001)	Loss 2.3183 (2.2287)	Prec@1 43.750 (44.130)	Prec@5 78.125 (74.699)
Epoch: [33][8590/14090]	Time 0.743 (0.770)	Data 0.002 (0.001)	Loss 2.5889 (2.2287)	Prec@1 39.844 (44.129)	Prec@5 64.844 (74.699)
Epoch: [33][8600/14090]	Time 0.776 (0.770)	Data 0.001 (0.001)	Loss 2.2676 (2.2288)	Prec@1 42.188 (44.127)	Prec@5 74.219 (74.696)
Epoch: [33][8610/14090]	Time 0.753 (0.770)	Data 0.001 (0.001)	Loss 2.1166 (2.2289)	Prec@1 43.750 (44.125)	Prec@5 75.000 (74.696)
Epoch: [33][8620/14090]	Time 0.742 (0.770)	Data 0.001 (0.001)	Loss 2.1896 (2.2288)	Prec@1 41.406 (44.126)	Prec@5 75.000 (74.698)
Epoch: [33][8630/14090]	Time 0.927 (0.770)	Data 0.001 (0.001)	Loss 2.6778 (2.2289)	Prec@1 32.031 (44.123)	Prec@5 67.969 (74.695)
Epoch: [33][8640/14090]	Time 0.742 (0.770)	Data 0.001 (0.001)	Loss 2.0809 (2.2289)	Prec@1 53.906 (44.121)	Prec@5 77.344 (74.694)
Epoch: [33][8650/14090]	Time 0.742 (0.770)	Data 0.001 (0.001)	Loss 2.3114 (2.2289)	Prec@1 42.969 (44.123)	Prec@5 75.781 (74.695)
Epoch: [33][8660/14090]	Time 0.766 (0.770)	Data 0.001 (0.001)	Loss 2.3819 (2.2289)	Prec@1 39.844 (44.122)	Prec@5 71.875 (74.695)
Epoch: [33][8670/14090]	Time 0.754 (0.770)	Data 0.001 (0.001)	Loss 2.4032 (2.2289)	Prec@1 43.750 (44.123)	Prec@5 70.312 (74.695)
Epoch: [33][8680/14090]	Time 0.745 (0.770)	Data 0.001 (0.001)	Loss 2.2493 (2.2290)	Prec@1 41.406 (44.121)	Prec@5 75.781 (74.694)
Epoch: [33][8690/14090]	Time 0.732 (0.770)	Data 0.001 (0.001)	Loss 2.2978 (2.2290)	Prec@1 38.281 (44.120)	Prec@5 76.562 (74.696)
Epoch: [33][8700/14090]	Time 0.860 (0.770)	Data 0.001 (0.001)	Loss 2.7031 (2.2289)	Prec@1 33.594 (44.119)	Prec@5 66.406 (74.697)
Epoch: [33][8710/14090]	Time 0.742 (0.770)	Data 0.001 (0.001)	Loss 2.0962 (2.2289)	Prec@1 48.438 (44.121)	Prec@5 81.250 (74.699)
Epoch: [33][8720/14090]	Time 0.753 (0.770)	Data 0.001 (0.001)	Loss 2.1543 (2.2289)	Prec@1 53.125 (44.120)	Prec@5 76.562 (74.701)
Epoch: [33][8730/14090]	Time 0.756 (0.770)	Data 0.001 (0.001)	Loss 2.2907 (2.2288)	Prec@1 42.188 (44.121)	Prec@5 74.219 (74.702)
Epoch: [33][8740/14090]	Time 0.756 (0.770)	Data 0.001 (0.001)	Loss 2.1756 (2.2289)	Prec@1 42.969 (44.122)	Prec@5 78.906 (74.700)
Epoch: [33][8750/14090]	Time 0.743 (0.770)	Data 0.001 (0.001)	Loss 2.0776 (2.2288)	Prec@1 50.000 (44.124)	Prec@5 81.250 (74.702)
Epoch: [33][8760/14090]	Time 0.762 (0.770)	Data 0.001 (0.001)	Loss 2.0500 (2.2287)	Prec@1 50.781 (44.126)	Prec@5 75.000 (74.704)
Epoch: [33][8770/14090]	Time 0.945 (0.770)	Data 0.001 (0.001)	Loss 2.7501 (2.2289)	Prec@1 39.062 (44.122)	Prec@5 63.281 (74.702)
Epoch: [33][8780/14090]	Time 0.745 (0.770)	Data 0.001 (0.001)	Loss 2.2186 (2.2289)	Prec@1 37.500 (44.121)	Prec@5 74.219 (74.701)
Epoch: [33][8790/14090]	Time 0.752 (0.770)	Data 0.001 (0.001)	Loss 2.2621 (2.2288)	Prec@1 41.406 (44.120)	Prec@5 69.531 (74.702)
Epoch: [33][8800/14090]	Time 0.755 (0.770)	Data 0.001 (0.001)	Loss 2.0840 (2.2287)	Prec@1 52.344 (44.123)	Prec@5 75.000 (74.703)
Epoch: [33][8810/14090]	Time 0.760 (0.770)	Data 0.001 (0.001)	Loss 2.4022 (2.2288)	Prec@1 42.969 (44.121)	Prec@5 75.000 (74.701)
Epoch: [33][8820/14090]	Time 0.756 (0.770)	Data 0.001 (0.001)	Loss 2.3754 (2.2288)	Prec@1 43.750 (44.121)	Prec@5 72.656 (74.700)
Epoch: [33][8830/14090]	Time 0.769 (0.770)	Data 0.001 (0.001)	Loss 2.1626 (2.2288)	Prec@1 42.969 (44.121)	Prec@5 78.906 (74.701)
Epoch: [33][8840/14090]	Time 0.855 (0.770)	Data 0.001 (0.001)	Loss 2.3315 (2.2288)	Prec@1 41.406 (44.121)	Prec@5 73.438 (74.700)
Epoch: [33][8850/14090]	Time 0.747 (0.770)	Data 0.001 (0.001)	Loss 2.1897 (2.2289)	Prec@1 48.438 (44.118)	Prec@5 77.344 (74.699)
Epoch: [33][8860/14090]	Time 0.740 (0.770)	Data 0.001 (0.001)	Loss 2.4241 (2.2289)	Prec@1 39.844 (44.119)	Prec@5 71.094 (74.697)
Epoch: [33][8870/14090]	Time 0.730 (0.770)	Data 0.001 (0.001)	Loss 2.0062 (2.2288)	Prec@1 50.000 (44.121)	Prec@5 78.125 (74.699)
Epoch: [33][8880/14090]	Time 0.738 (0.770)	Data 0.001 (0.001)	Loss 2.3652 (2.2288)	Prec@1 39.844 (44.121)	Prec@5 72.656 (74.700)
Epoch: [33][8890/14090]	Time 0.727 (0.770)	Data 0.001 (0.001)	Loss 2.1322 (2.2288)	Prec@1 47.656 (44.121)	Prec@5 77.344 (74.701)
Epoch: [33][8900/14090]	Time 0.748 (0.770)	Data 0.001 (0.001)	Loss 2.4360 (2.2289)	Prec@1 44.531 (44.121)	Prec@5 68.750 (74.700)
Epoch: [33][8910/14090]	Time 0.871 (0.770)	Data 0.001 (0.001)	Loss 2.4818 (2.2289)	Prec@1 37.500 (44.120)	Prec@5 67.969 (74.699)
Epoch: [33][8920/14090]	Time 0.729 (0.770)	Data 0.001 (0.001)	Loss 2.2668 (2.2290)	Prec@1 46.875 (44.121)	Prec@5 78.906 (74.696)
Epoch: [33][8930/14090]	Time 0.756 (0.770)	Data 0.001 (0.001)	Loss 2.1134 (2.2290)	Prec@1 46.875 (44.123)	Prec@5 75.781 (74.697)
Epoch: [33][8940/14090]	Time 0.723 (0.770)	Data 0.001 (0.001)	Loss 2.0362 (2.2289)	Prec@1 46.875 (44.127)	Prec@5 77.344 (74.699)
Epoch: [33][8950/14090]	Time 0.766 (0.770)	Data 0.001 (0.001)	Loss 2.0507 (2.2289)	Prec@1 44.531 (44.126)	Prec@5 79.688 (74.699)
Epoch: [33][8960/14090]	Time 0.735 (0.770)	Data 0.001 (0.001)	Loss 2.0428 (2.2289)	Prec@1 47.656 (44.125)	Prec@5 77.344 (74.697)
Epoch: [33][8970/14090]	Time 0.789 (0.770)	Data 0.001 (0.001)	Loss 2.3456 (2.2290)	Prec@1 41.406 (44.124)	Prec@5 71.094 (74.695)
Epoch: [33][8980/14090]	Time 0.847 (0.770)	Data 0.001 (0.001)	Loss 2.1796 (2.2290)	Prec@1 41.406 (44.123)	Prec@5 72.656 (74.697)
Epoch: [33][8990/14090]	Time 0.771 (0.770)	Data 0.001 (0.001)	Loss 2.1483 (2.2290)	Prec@1 44.531 (44.122)	Prec@5 81.250 (74.697)
Epoch: [33][9000/14090]	Time 0.755 (0.770)	Data 0.001 (0.001)	Loss 2.2811 (2.2289)	Prec@1 44.531 (44.125)	Prec@5 75.000 (74.698)
Epoch: [33][9010/14090]	Time 0.755 (0.770)	Data 0.002 (0.001)	Loss 2.4457 (2.2289)	Prec@1 42.969 (44.126)	Prec@5 70.312 (74.698)
Epoch: [33][9020/14090]	Time 0.741 (0.770)	Data 0.001 (0.001)	Loss 2.2915 (2.2290)	Prec@1 42.969 (44.124)	Prec@5 72.656 (74.698)
Epoch: [33][9030/14090]	Time 0.771 (0.770)	Data 0.001 (0.001)	Loss 2.4297 (2.2290)	Prec@1 42.188 (44.123)	Prec@5 71.875 (74.696)
Epoch: [33][9040/14090]	Time 0.752 (0.770)	Data 0.001 (0.001)	Loss 2.3123 (2.2290)	Prec@1 35.156 (44.124)	Prec@5 73.438 (74.696)
Epoch: [33][9050/14090]	Time 0.873 (0.770)	Data 0.001 (0.001)	Loss 2.0892 (2.2290)	Prec@1 46.094 (44.122)	Prec@5 76.562 (74.697)
Epoch: [33][9060/14090]	Time 0.759 (0.770)	Data 0.001 (0.001)	Loss 2.3649 (2.2290)	Prec@1 36.719 (44.121)	Prec@5 70.312 (74.696)
Epoch: [33][9070/14090]	Time 0.763 (0.770)	Data 0.001 (0.001)	Loss 2.2174 (2.2291)	Prec@1 48.438 (44.120)	Prec@5 71.875 (74.694)
Epoch: [33][9080/14090]	Time 0.772 (0.770)	Data 0.001 (0.001)	Loss 2.3955 (2.2292)	Prec@1 43.750 (44.119)	Prec@5 76.562 (74.694)
Epoch: [33][9090/14090]	Time 0.761 (0.770)	Data 0.001 (0.001)	Loss 2.5284 (2.2292)	Prec@1 34.375 (44.118)	Prec@5 70.312 (74.694)
Epoch: [33][9100/14090]	Time 0.752 (0.770)	Data 0.001 (0.001)	Loss 2.2728 (2.2292)	Prec@1 42.188 (44.117)	Prec@5 76.562 (74.693)
Epoch: [33][9110/14090]	Time 0.752 (0.770)	Data 0.001 (0.001)	Loss 2.1934 (2.2292)	Prec@1 46.094 (44.117)	Prec@5 75.781 (74.693)
Epoch: [33][9120/14090]	Time 0.883 (0.770)	Data 0.001 (0.001)	Loss 2.5630 (2.2293)	Prec@1 37.500 (44.113)	Prec@5 67.188 (74.690)
Epoch: [33][9130/14090]	Time 0.745 (0.770)	Data 0.001 (0.001)	Loss 2.4424 (2.2293)	Prec@1 40.625 (44.115)	Prec@5 68.750 (74.691)
Epoch: [33][9140/14090]	Time 0.749 (0.770)	Data 0.001 (0.001)	Loss 2.4497 (2.2293)	Prec@1 43.750 (44.115)	Prec@5 71.875 (74.691)
Epoch: [33][9150/14090]	Time 0.764 (0.770)	Data 0.001 (0.001)	Loss 2.2268 (2.2293)	Prec@1 41.406 (44.115)	Prec@5 75.781 (74.692)
Epoch: [33][9160/14090]	Time 0.746 (0.770)	Data 0.001 (0.001)	Loss 2.3020 (2.2293)	Prec@1 43.750 (44.114)	Prec@5 75.000 (74.692)
Epoch: [33][9170/14090]	Time 0.766 (0.770)	Data 0.001 (0.001)	Loss 2.2629 (2.2292)	Prec@1 39.062 (44.113)	Prec@5 77.344 (74.693)
Epoch: [33][9180/14090]	Time 0.774 (0.770)	Data 0.001 (0.001)	Loss 2.2407 (2.2292)	Prec@1 46.875 (44.113)	Prec@5 71.094 (74.692)
Epoch: [33][9190/14090]	Time 0.865 (0.770)	Data 0.001 (0.001)	Loss 2.2425 (2.2292)	Prec@1 43.750 (44.112)	Prec@5 74.219 (74.691)
Epoch: [33][9200/14090]	Time 0.752 (0.770)	Data 0.001 (0.001)	Loss 2.1011 (2.2292)	Prec@1 45.312 (44.112)	Prec@5 76.562 (74.692)
Epoch: [33][9210/14090]	Time 0.760 (0.770)	Data 0.001 (0.001)	Loss 2.1065 (2.2292)	Prec@1 51.562 (44.113)	Prec@5 76.562 (74.693)
Epoch: [33][9220/14090]	Time 0.756 (0.770)	Data 0.001 (0.001)	Loss 2.0893 (2.2292)	Prec@1 47.656 (44.112)	Prec@5 73.438 (74.692)
Epoch: [33][9230/14090]	Time 0.746 (0.770)	Data 0.001 (0.001)	Loss 2.0995 (2.2292)	Prec@1 44.531 (44.110)	Prec@5 78.125 (74.692)
Epoch: [33][9240/14090]	Time 0.734 (0.770)	Data 0.001 (0.001)	Loss 2.0918 (2.2292)	Prec@1 42.188 (44.109)	Prec@5 78.906 (74.692)
Epoch: [33][9250/14090]	Time 0.779 (0.770)	Data 0.001 (0.001)	Loss 2.0352 (2.2292)	Prec@1 47.656 (44.109)	Prec@5 76.562 (74.692)
Epoch: [33][9260/14090]	Time 0.836 (0.770)	Data 0.001 (0.001)	Loss 2.4002 (2.2293)	Prec@1 37.500 (44.108)	Prec@5 71.094 (74.693)
Epoch: [33][9270/14090]	Time 0.753 (0.770)	Data 0.001 (0.001)	Loss 2.2035 (2.2292)	Prec@1 46.875 (44.108)	Prec@5 75.781 (74.694)
Epoch: [33][9280/14090]	Time 0.734 (0.770)	Data 0.001 (0.001)	Loss 2.1760 (2.2292)	Prec@1 45.312 (44.108)	Prec@5 78.906 (74.694)
Epoch: [33][9290/14090]	Time 0.734 (0.770)	Data 0.001 (0.001)	Loss 2.1836 (2.2292)	Prec@1 48.438 (44.110)	Prec@5 79.688 (74.696)
Epoch: [33][9300/14090]	Time 0.760 (0.770)	Data 0.001 (0.001)	Loss 2.1724 (2.2292)	Prec@1 50.781 (44.109)	Prec@5 71.875 (74.696)
Epoch: [33][9310/14090]	Time 0.738 (0.770)	Data 0.001 (0.001)	Loss 2.1320 (2.2292)	Prec@1 44.531 (44.109)	Prec@5 80.469 (74.697)
Epoch: [33][9320/14090]	Time 0.726 (0.770)	Data 0.001 (0.001)	Loss 2.3693 (2.2292)	Prec@1 42.188 (44.111)	Prec@5 71.875 (74.695)
Epoch: [33][9330/14090]	Time 0.831 (0.770)	Data 0.001 (0.001)	Loss 2.1238 (2.2292)	Prec@1 49.219 (44.111)	Prec@5 77.344 (74.696)
Epoch: [33][9340/14090]	Time 0.727 (0.770)	Data 0.001 (0.001)	Loss 2.4837 (2.2293)	Prec@1 35.938 (44.109)	Prec@5 70.312 (74.694)
Epoch: [33][9350/14090]	Time 0.771 (0.770)	Data 0.001 (0.001)	Loss 1.8810 (2.2292)	Prec@1 50.781 (44.111)	Prec@5 80.469 (74.695)
Epoch: [33][9360/14090]	Time 0.743 (0.770)	Data 0.001 (0.001)	Loss 2.5320 (2.2292)	Prec@1 35.938 (44.110)	Prec@5 71.875 (74.694)
Epoch: [33][9370/14090]	Time 0.747 (0.770)	Data 0.003 (0.001)	Loss 2.4098 (2.2293)	Prec@1 39.844 (44.108)	Prec@5 73.438 (74.694)
Epoch: [33][9380/14090]	Time 0.732 (0.770)	Data 0.001 (0.001)	Loss 2.2520 (2.2294)	Prec@1 41.406 (44.107)	Prec@5 75.000 (74.695)
Epoch: [33][9390/14090]	Time 0.742 (0.770)	Data 0.001 (0.001)	Loss 2.1793 (2.2293)	Prec@1 39.062 (44.108)	Prec@5 75.781 (74.696)
Epoch: [33][9400/14090]	Time 0.856 (0.770)	Data 0.001 (0.001)	Loss 2.4278 (2.2293)	Prec@1 36.719 (44.108)	Prec@5 74.219 (74.697)
Epoch: [33][9410/14090]	Time 0.770 (0.770)	Data 0.001 (0.001)	Loss 2.4984 (2.2293)	Prec@1 39.062 (44.107)	Prec@5 68.750 (74.697)
Epoch: [33][9420/14090]	Time 0.752 (0.770)	Data 0.001 (0.001)	Loss 2.2137 (2.2292)	Prec@1 44.531 (44.108)	Prec@5 73.438 (74.697)
Epoch: [33][9430/14090]	Time 0.746 (0.770)	Data 0.001 (0.001)	Loss 2.0975 (2.2292)	Prec@1 43.750 (44.108)	Prec@5 75.000 (74.699)
Epoch: [33][9440/14090]	Time 0.725 (0.770)	Data 0.001 (0.001)	Loss 2.3040 (2.2293)	Prec@1 47.656 (44.108)	Prec@5 67.188 (74.696)
Epoch: [33][9450/14090]	Time 0.765 (0.770)	Data 0.001 (0.001)	Loss 2.0263 (2.2294)	Prec@1 48.438 (44.107)	Prec@5 79.688 (74.695)
Epoch: [33][9460/14090]	Time 0.769 (0.770)	Data 0.001 (0.001)	Loss 2.2272 (2.2294)	Prec@1 41.406 (44.105)	Prec@5 74.219 (74.694)
Epoch: [33][9470/14090]	Time 0.905 (0.770)	Data 0.001 (0.001)	Loss 2.0485 (2.2294)	Prec@1 45.312 (44.104)	Prec@5 81.250 (74.694)
Epoch: [33][9480/14090]	Time 0.729 (0.770)	Data 0.001 (0.001)	Loss 2.3957 (2.2295)	Prec@1 43.750 (44.101)	Prec@5 68.750 (74.692)
Epoch: [33][9490/14090]	Time 0.755 (0.770)	Data 0.001 (0.001)	Loss 2.0062 (2.2295)	Prec@1 46.094 (44.101)	Prec@5 79.688 (74.691)
Epoch: [33][9500/14090]	Time 0.723 (0.770)	Data 0.001 (0.001)	Loss 2.4360 (2.2295)	Prec@1 36.719 (44.099)	Prec@5 71.094 (74.690)
Epoch: [33][9510/14090]	Time 0.775 (0.770)	Data 0.001 (0.001)	Loss 2.1058 (2.2295)	Prec@1 50.000 (44.099)	Prec@5 77.344 (74.692)
Epoch: [33][9520/14090]	Time 0.758 (0.770)	Data 0.001 (0.001)	Loss 2.3972 (2.2295)	Prec@1 38.281 (44.100)	Prec@5 74.219 (74.693)
Epoch: [33][9530/14090]	Time 0.738 (0.770)	Data 0.002 (0.001)	Loss 2.2462 (2.2295)	Prec@1 44.531 (44.098)	Prec@5 77.344 (74.694)
Epoch: [33][9540/14090]	Time 0.819 (0.770)	Data 0.001 (0.001)	Loss 2.3907 (2.2295)	Prec@1 43.750 (44.097)	Prec@5 71.875 (74.692)
Epoch: [33][9550/14090]	Time 0.744 (0.770)	Data 0.001 (0.001)	Loss 2.2127 (2.2296)	Prec@1 44.531 (44.096)	Prec@5 75.781 (74.692)
Epoch: [33][9560/14090]	Time 0.735 (0.770)	Data 0.001 (0.001)	Loss 1.9825 (2.2296)	Prec@1 53.125 (44.096)	Prec@5 78.125 (74.693)
Epoch: [33][9570/14090]	Time 0.743 (0.770)	Data 0.001 (0.001)	Loss 2.3703 (2.2296)	Prec@1 40.625 (44.093)	Prec@5 70.312 (74.692)
Epoch: [33][9580/14090]	Time 0.724 (0.770)	Data 0.001 (0.001)	Loss 2.0872 (2.2295)	Prec@1 47.656 (44.095)	Prec@5 76.562 (74.694)
Epoch: [33][9590/14090]	Time 0.731 (0.770)	Data 0.001 (0.001)	Loss 2.2570 (2.2294)	Prec@1 42.969 (44.098)	Prec@5 78.906 (74.697)
Epoch: [33][9600/14090]	Time 0.748 (0.770)	Data 0.001 (0.001)	Loss 2.0064 (2.2294)	Prec@1 49.219 (44.099)	Prec@5 75.000 (74.698)
Epoch: [33][9610/14090]	Time 0.924 (0.770)	Data 0.001 (0.001)	Loss 2.3977 (2.2294)	Prec@1 42.188 (44.099)	Prec@5 67.969 (74.698)
Epoch: [33][9620/14090]	Time 0.735 (0.770)	Data 0.001 (0.001)	Loss 2.3820 (2.2294)	Prec@1 43.750 (44.099)	Prec@5 71.875 (74.697)
Epoch: [33][9630/14090]	Time 0.753 (0.770)	Data 0.001 (0.001)	Loss 2.5835 (2.2293)	Prec@1 33.594 (44.099)	Prec@5 67.969 (74.700)
Epoch: [33][9640/14090]	Time 0.769 (0.770)	Data 0.001 (0.001)	Loss 2.1429 (2.2293)	Prec@1 49.219 (44.098)	Prec@5 76.562 (74.697)
Epoch: [33][9650/14090]	Time 0.738 (0.770)	Data 0.001 (0.001)	Loss 2.4025 (2.2293)	Prec@1 41.406 (44.098)	Prec@5 72.656 (74.699)
Epoch: [33][9660/14090]	Time 0.753 (0.770)	Data 0.001 (0.001)	Loss 2.1639 (2.2293)	Prec@1 46.875 (44.101)	Prec@5 76.562 (74.698)
Epoch: [33][9670/14090]	Time 0.758 (0.770)	Data 0.001 (0.001)	Loss 2.3213 (2.2294)	Prec@1 39.062 (44.099)	Prec@5 71.094 (74.699)
Epoch: [33][9680/14090]	Time 0.878 (0.770)	Data 0.001 (0.001)	Loss 2.1463 (2.2294)	Prec@1 52.344 (44.100)	Prec@5 71.875 (74.698)
Epoch: [33][9690/14090]	Time 0.773 (0.770)	Data 0.001 (0.001)	Loss 2.4223 (2.2295)	Prec@1 41.406 (44.099)	Prec@5 71.875 (74.696)
Epoch: [33][9700/14090]	Time 0.728 (0.770)	Data 0.001 (0.001)	Loss 2.1020 (2.2295)	Prec@1 44.531 (44.101)	Prec@5 75.781 (74.697)
Epoch: [33][9710/14090]	Time 0.764 (0.770)	Data 0.001 (0.001)	Loss 2.1916 (2.2296)	Prec@1 44.531 (44.099)	Prec@5 74.219 (74.695)
Epoch: [33][9720/14090]	Time 0.736 (0.770)	Data 0.001 (0.001)	Loss 2.0800 (2.2295)	Prec@1 46.094 (44.099)	Prec@5 79.688 (74.696)
Epoch: [33][9730/14090]	Time 0.735 (0.770)	Data 0.001 (0.001)	Loss 2.0822 (2.2294)	Prec@1 53.125 (44.100)	Prec@5 74.219 (74.698)
Epoch: [33][9740/14090]	Time 0.755 (0.770)	Data 0.001 (0.001)	Loss 2.1527 (2.2294)	Prec@1 42.188 (44.098)	Prec@5 77.344 (74.695)
Epoch: [33][9750/14090]	Time 0.881 (0.770)	Data 0.001 (0.001)	Loss 1.9853 (2.2294)	Prec@1 50.000 (44.100)	Prec@5 76.562 (74.696)
Epoch: [33][9760/14090]	Time 0.743 (0.770)	Data 0.001 (0.001)	Loss 2.2861 (2.2294)	Prec@1 40.625 (44.099)	Prec@5 71.094 (74.696)
Epoch: [33][9770/14090]	Time 0.757 (0.770)	Data 0.001 (0.001)	Loss 2.3968 (2.2294)	Prec@1 39.844 (44.099)	Prec@5 76.562 (74.697)
Epoch: [33][9780/14090]	Time 0.762 (0.770)	Data 0.001 (0.001)	Loss 2.2664 (2.2293)	Prec@1 42.188 (44.102)	Prec@5 72.656 (74.696)
Epoch: [33][9790/14090]	Time 0.772 (0.770)	Data 0.001 (0.001)	Loss 1.9078 (2.2293)	Prec@1 53.125 (44.101)	Prec@5 80.469 (74.696)
Epoch: [33][9800/14090]	Time 0.746 (0.770)	Data 0.001 (0.001)	Loss 1.7808 (2.2293)	Prec@1 56.250 (44.102)	Prec@5 76.562 (74.696)
Epoch: [33][9810/14090]	Time 0.747 (0.770)	Data 0.001 (0.001)	Loss 1.9952 (2.2292)	Prec@1 44.531 (44.101)	Prec@5 78.125 (74.696)
Epoch: [33][9820/14090]	Time 0.863 (0.770)	Data 0.001 (0.001)	Loss 1.8367 (2.2293)	Prec@1 54.688 (44.100)	Prec@5 78.125 (74.696)
Epoch: [33][9830/14090]	Time 0.756 (0.770)	Data 0.001 (0.001)	Loss 2.3561 (2.2292)	Prec@1 44.531 (44.100)	Prec@5 72.656 (74.696)
Epoch: [33][9840/14090]	Time 0.753 (0.770)	Data 0.001 (0.001)	Loss 2.1897 (2.2292)	Prec@1 45.312 (44.100)	Prec@5 76.562 (74.696)
Epoch: [33][9850/14090]	Time 0.768 (0.770)	Data 0.001 (0.001)	Loss 2.3093 (2.2292)	Prec@1 44.531 (44.099)	Prec@5 71.094 (74.693)
Epoch: [33][9860/14090]	Time 0.754 (0.770)	Data 0.001 (0.001)	Loss 1.9262 (2.2291)	Prec@1 48.438 (44.104)	Prec@5 82.031 (74.697)
Epoch: [33][9870/14090]	Time 0.739 (0.770)	Data 0.001 (0.001)	Loss 2.2309 (2.2291)	Prec@1 40.625 (44.105)	Prec@5 72.656 (74.695)
Epoch: [33][9880/14090]	Time 0.752 (0.770)	Data 0.001 (0.001)	Loss 2.3392 (2.2290)	Prec@1 40.625 (44.105)	Prec@5 71.094 (74.696)
Epoch: [33][9890/14090]	Time 0.926 (0.770)	Data 0.001 (0.001)	Loss 2.2500 (2.2291)	Prec@1 45.312 (44.106)	Prec@5 71.094 (74.695)
Epoch: [33][9900/14090]	Time 0.782 (0.770)	Data 0.001 (0.001)	Loss 2.4060 (2.2291)	Prec@1 40.625 (44.107)	Prec@5 71.094 (74.694)
Epoch: [33][9910/14090]	Time 0.728 (0.770)	Data 0.001 (0.001)	Loss 2.3300 (2.2292)	Prec@1 44.531 (44.103)	Prec@5 69.531 (74.692)
Epoch: [33][9920/14090]	Time 0.724 (0.770)	Data 0.001 (0.001)	Loss 2.2692 (2.2292)	Prec@1 42.969 (44.102)	Prec@5 75.000 (74.693)
Epoch: [33][9930/14090]	Time 0.724 (0.770)	Data 0.001 (0.001)	Loss 2.2654 (2.2291)	Prec@1 38.281 (44.103)	Prec@5 77.344 (74.695)
Epoch: [33][9940/14090]	Time 0.722 (0.770)	Data 0.001 (0.001)	Loss 2.3572 (2.2291)	Prec@1 44.531 (44.103)	Prec@5 72.656 (74.693)
Epoch: [33][9950/14090]	Time 0.766 (0.770)	Data 0.001 (0.001)	Loss 2.1157 (2.2291)	Prec@1 41.406 (44.103)	Prec@5 76.562 (74.693)
Epoch: [33][9960/14090]	Time 0.877 (0.770)	Data 0.001 (0.001)	Loss 2.0575 (2.2291)	Prec@1 43.750 (44.102)	Prec@5 77.344 (74.692)
Epoch: [33][9970/14090]	Time 0.737 (0.770)	Data 0.001 (0.001)	Loss 2.3125 (2.2291)	Prec@1 46.875 (44.104)	Prec@5 72.656 (74.693)
Epoch: [33][9980/14090]	Time 0.734 (0.770)	Data 0.001 (0.001)	Loss 2.1030 (2.2291)	Prec@1 48.438 (44.105)	Prec@5 74.219 (74.693)
Epoch: [33][9990/14090]	Time 0.764 (0.770)	Data 0.001 (0.001)	Loss 1.8240 (2.2290)	Prec@1 54.688 (44.107)	Prec@5 78.906 (74.693)
Epoch: [33][10000/14090]	Time 0.742 (0.770)	Data 0.001 (0.001)	Loss 1.9673 (2.2289)	Prec@1 46.875 (44.108)	Prec@5 79.688 (74.695)
Epoch: [33][10010/14090]	Time 0.769 (0.770)	Data 0.001 (0.001)	Loss 2.2731 (2.2289)	Prec@1 42.969 (44.108)	Prec@5 71.094 (74.695)
Epoch: [33][10020/14090]	Time 0.755 (0.770)	Data 0.001 (0.001)	Loss 2.1039 (2.2289)	Prec@1 47.656 (44.109)	Prec@5 78.906 (74.696)
Epoch: [33][10030/14090]	Time 0.920 (0.770)	Data 0.001 (0.001)	Loss 2.2498 (2.2288)	Prec@1 42.969 (44.109)	Prec@5 74.219 (74.695)
Epoch: [33][10040/14090]	Time 0.778 (0.770)	Data 0.001 (0.001)	Loss 2.4376 (2.2289)	Prec@1 42.969 (44.108)	Prec@5 69.531 (74.694)
Epoch: [33][10050/14090]	Time 0.739 (0.770)	Data 0.001 (0.001)	Loss 2.2896 (2.2289)	Prec@1 38.281 (44.108)	Prec@5 74.219 (74.692)
Epoch: [33][10060/14090]	Time 0.744 (0.770)	Data 0.001 (0.001)	Loss 2.5169 (2.2290)	Prec@1 39.062 (44.106)	Prec@5 69.531 (74.691)
Epoch: [33][10070/14090]	Time 0.753 (0.770)	Data 0.001 (0.001)	Loss 2.2682 (2.2291)	Prec@1 40.625 (44.105)	Prec@5 71.875 (74.690)
Epoch: [33][10080/14090]	Time 0.761 (0.770)	Data 0.001 (0.001)	Loss 2.1930 (2.2290)	Prec@1 46.875 (44.105)	Prec@5 78.125 (74.691)
Epoch: [33][10090/14090]	Time 0.728 (0.770)	Data 0.002 (0.001)	Loss 2.4326 (2.2290)	Prec@1 39.062 (44.104)	Prec@5 70.312 (74.690)
Epoch: [33][10100/14090]	Time 0.913 (0.770)	Data 0.001 (0.001)	Loss 2.1152 (2.2291)	Prec@1 49.219 (44.104)	Prec@5 78.906 (74.690)
Epoch: [33][10110/14090]	Time 0.747 (0.770)	Data 0.001 (0.001)	Loss 2.4156 (2.2290)	Prec@1 38.281 (44.106)	Prec@5 63.281 (74.690)
Epoch: [33][10120/14090]	Time 0.754 (0.770)	Data 0.001 (0.001)	Loss 2.4589 (2.2290)	Prec@1 37.500 (44.106)	Prec@5 72.656 (74.690)
Epoch: [33][10130/14090]	Time 0.736 (0.770)	Data 0.001 (0.001)	Loss 2.2777 (2.2290)	Prec@1 45.312 (44.106)	Prec@5 72.656 (74.689)
Epoch: [33][10140/14090]	Time 0.731 (0.770)	Data 0.001 (0.001)	Loss 2.5441 (2.2290)	Prec@1 35.938 (44.107)	Prec@5 72.656 (74.691)
Epoch: [33][10150/14090]	Time 0.740 (0.770)	Data 0.001 (0.001)	Loss 2.1953 (2.2290)	Prec@1 49.219 (44.107)	Prec@5 75.781 (74.689)
Epoch: [33][10160/14090]	Time 0.750 (0.770)	Data 0.001 (0.001)	Loss 2.4020 (2.2291)	Prec@1 42.969 (44.106)	Prec@5 74.219 (74.687)
Epoch: [33][10170/14090]	Time 0.845 (0.770)	Data 0.001 (0.001)	Loss 2.3837 (2.2291)	Prec@1 36.719 (44.105)	Prec@5 71.875 (74.687)
Epoch: [33][10180/14090]	Time 0.761 (0.770)	Data 0.001 (0.001)	Loss 2.2744 (2.2292)	Prec@1 45.312 (44.102)	Prec@5 73.438 (74.685)
Epoch: [33][10190/14090]	Time 0.743 (0.770)	Data 0.001 (0.001)	Loss 2.1759 (2.2292)	Prec@1 43.750 (44.101)	Prec@5 76.562 (74.686)
Epoch: [33][10200/14090]	Time 0.742 (0.770)	Data 0.001 (0.001)	Loss 2.1619 (2.2292)	Prec@1 46.875 (44.101)	Prec@5 77.344 (74.687)
Epoch: [33][10210/14090]	Time 0.774 (0.770)	Data 0.001 (0.001)	Loss 2.2615 (2.2291)	Prec@1 44.531 (44.103)	Prec@5 77.344 (74.687)
Epoch: [33][10220/14090]	Time 0.748 (0.770)	Data 0.001 (0.001)	Loss 2.0891 (2.2291)	Prec@1 45.312 (44.103)	Prec@5 72.656 (74.687)
Epoch: [33][10230/14090]	Time 0.765 (0.770)	Data 0.001 (0.001)	Loss 2.3596 (2.2291)	Prec@1 37.500 (44.104)	Prec@5 75.000 (74.688)
Epoch: [33][10240/14090]	Time 1.002 (0.770)	Data 0.001 (0.001)	Loss 1.9649 (2.2291)	Prec@1 50.781 (44.106)	Prec@5 82.812 (74.689)
Epoch: [33][10250/14090]	Time 0.736 (0.770)	Data 0.001 (0.001)	Loss 2.1542 (2.2292)	Prec@1 52.344 (44.103)	Prec@5 73.438 (74.685)
Epoch: [33][10260/14090]	Time 0.748 (0.770)	Data 0.001 (0.001)	Loss 2.2248 (2.2292)	Prec@1 43.750 (44.102)	Prec@5 75.000 (74.685)
Epoch: [33][10270/14090]	Time 0.746 (0.770)	Data 0.001 (0.001)	Loss 2.4694 (2.2293)	Prec@1 42.188 (44.103)	Prec@5 75.000 (74.686)
Epoch: [33][10280/14090]	Time 0.750 (0.770)	Data 0.001 (0.001)	Loss 2.5278 (2.2293)	Prec@1 37.500 (44.102)	Prec@5 62.500 (74.684)
Epoch: [33][10290/14090]	Time 0.767 (0.770)	Data 0.002 (0.001)	Loss 2.1137 (2.2294)	Prec@1 45.312 (44.098)	Prec@5 78.906 (74.681)
Epoch: [33][10300/14090]	Time 0.726 (0.770)	Data 0.001 (0.001)	Loss 2.0447 (2.2294)	Prec@1 44.531 (44.096)	Prec@5 71.875 (74.682)
Epoch: [33][10310/14090]	Time 0.884 (0.770)	Data 0.001 (0.001)	Loss 2.0978 (2.2295)	Prec@1 45.312 (44.096)	Prec@5 75.781 (74.681)
Epoch: [33][10320/14090]	Time 0.739 (0.770)	Data 0.001 (0.001)	Loss 2.2884 (2.2294)	Prec@1 43.750 (44.097)	Prec@5 78.906 (74.681)
Epoch: [33][10330/14090]	Time 0.742 (0.770)	Data 0.001 (0.001)	Loss 2.2616 (2.2294)	Prec@1 41.406 (44.097)	Prec@5 77.344 (74.680)
Epoch: [33][10340/14090]	Time 0.774 (0.770)	Data 0.001 (0.001)	Loss 1.8542 (2.2294)	Prec@1 53.906 (44.097)	Prec@5 80.469 (74.681)
Epoch: [33][10350/14090]	Time 0.762 (0.770)	Data 0.001 (0.001)	Loss 2.1523 (2.2294)	Prec@1 41.406 (44.097)	Prec@5 77.344 (74.681)
Epoch: [33][10360/14090]	Time 0.740 (0.770)	Data 0.001 (0.001)	Loss 2.2739 (2.2294)	Prec@1 47.656 (44.097)	Prec@5 71.094 (74.681)
Epoch: [33][10370/14090]	Time 0.762 (0.770)	Data 0.001 (0.001)	Loss 2.2505 (2.2293)	Prec@1 38.281 (44.098)	Prec@5 73.438 (74.683)
Epoch: [33][10380/14090]	Time 0.996 (0.770)	Data 0.001 (0.001)	Loss 2.0080 (2.2293)	Prec@1 46.875 (44.099)	Prec@5 78.906 (74.682)
Epoch: [33][10390/14090]	Time 0.756 (0.770)	Data 0.001 (0.001)	Loss 2.0863 (2.2294)	Prec@1 41.406 (44.098)	Prec@5 77.344 (74.682)
Epoch: [33][10400/14090]	Time 0.751 (0.770)	Data 0.001 (0.001)	Loss 2.2661 (2.2294)	Prec@1 46.094 (44.097)	Prec@5 71.875 (74.679)
Epoch: [33][10410/14090]	Time 0.733 (0.770)	Data 0.001 (0.001)	Loss 2.4098 (2.2295)	Prec@1 39.844 (44.094)	Prec@5 70.312 (74.678)
Epoch: [33][10420/14090]	Time 0.743 (0.770)	Data 0.001 (0.001)	Loss 2.2635 (2.2296)	Prec@1 40.625 (44.092)	Prec@5 75.781 (74.677)
Epoch: [33][10430/14090]	Time 0.732 (0.770)	Data 0.001 (0.001)	Loss 2.1839 (2.2296)	Prec@1 45.312 (44.093)	Prec@5 76.562 (74.678)
Epoch: [33][10440/14090]	Time 0.747 (0.770)	Data 0.001 (0.001)	Loss 1.9420 (2.2295)	Prec@1 52.344 (44.095)	Prec@5 78.125 (74.677)
Epoch: [33][10450/14090]	Time 0.861 (0.770)	Data 0.001 (0.001)	Loss 2.2805 (2.2296)	Prec@1 39.062 (44.094)	Prec@5 73.438 (74.675)
Epoch: [33][10460/14090]	Time 0.746 (0.770)	Data 0.001 (0.001)	Loss 2.2304 (2.2296)	Prec@1 43.750 (44.095)	Prec@5 72.656 (74.675)
Epoch: [33][10470/14090]	Time 0.784 (0.770)	Data 0.001 (0.001)	Loss 2.1633 (2.2295)	Prec@1 46.875 (44.096)	Prec@5 78.906 (74.677)
Epoch: [33][10480/14090]	Time 0.726 (0.770)	Data 0.001 (0.001)	Loss 2.3377 (2.2295)	Prec@1 42.969 (44.096)	Prec@5 71.875 (74.678)
Epoch: [33][10490/14090]	Time 0.754 (0.770)	Data 0.001 (0.001)	Loss 1.9332 (2.2295)	Prec@1 50.781 (44.096)	Prec@5 82.812 (74.679)
Epoch: [33][10500/14090]	Time 0.751 (0.770)	Data 0.001 (0.001)	Loss 1.9839 (2.2294)	Prec@1 46.094 (44.097)	Prec@5 76.562 (74.680)
Epoch: [33][10510/14090]	Time 0.759 (0.770)	Data 0.001 (0.001)	Loss 2.1175 (2.2294)	Prec@1 45.312 (44.095)	Prec@5 74.219 (74.679)
Epoch: [33][10520/14090]	Time 1.024 (0.770)	Data 0.001 (0.001)	Loss 2.2648 (2.2295)	Prec@1 39.844 (44.095)	Prec@5 72.656 (74.679)
Epoch: [33][10530/14090]	Time 0.769 (0.770)	Data 0.001 (0.001)	Loss 2.0819 (2.2295)	Prec@1 43.750 (44.095)	Prec@5 80.469 (74.679)
Epoch: [33][10540/14090]	Time 0.747 (0.770)	Data 0.001 (0.001)	Loss 2.2803 (2.2294)	Prec@1 41.406 (44.096)	Prec@5 73.438 (74.680)
Epoch: [33][10550/14090]	Time 0.757 (0.770)	Data 0.001 (0.001)	Loss 2.0192 (2.2293)	Prec@1 50.781 (44.099)	Prec@5 78.906 (74.682)
Epoch: [33][10560/14090]	Time 0.749 (0.770)	Data 0.001 (0.001)	Loss 2.2026 (2.2293)	Prec@1 51.562 (44.099)	Prec@5 76.562 (74.683)
Epoch: [33][10570/14090]	Time 0.766 (0.770)	Data 0.001 (0.001)	Loss 2.0726 (2.2294)	Prec@1 48.438 (44.099)	Prec@5 77.344 (74.682)
Epoch: [33][10580/14090]	Time 0.744 (0.770)	Data 0.001 (0.001)	Loss 2.1117 (2.2294)	Prec@1 42.969 (44.099)	Prec@5 75.000 (74.681)
Epoch: [33][10590/14090]	Time 0.879 (0.770)	Data 0.001 (0.001)	Loss 2.1604 (2.2294)	Prec@1 44.531 (44.099)	Prec@5 77.344 (74.681)
Epoch: [33][10600/14090]	Time 0.759 (0.770)	Data 0.001 (0.001)	Loss 1.9266 (2.2293)	Prec@1 55.469 (44.101)	Prec@5 78.906 (74.684)
Epoch: [33][10610/14090]	Time 0.754 (0.770)	Data 0.001 (0.001)	Loss 1.8590 (2.2292)	Prec@1 53.906 (44.101)	Prec@5 80.469 (74.684)
Epoch: [33][10620/14090]	Time 0.766 (0.770)	Data 0.001 (0.001)	Loss 2.0627 (2.2293)	Prec@1 49.219 (44.100)	Prec@5 78.125 (74.684)
Epoch: [33][10630/14090]	Time 0.774 (0.770)	Data 0.001 (0.001)	Loss 2.1414 (2.2293)	Prec@1 44.531 (44.099)	Prec@5 74.219 (74.684)
Epoch: [33][10640/14090]	Time 0.733 (0.770)	Data 0.001 (0.001)	Loss 1.9758 (2.2292)	Prec@1 55.469 (44.100)	Prec@5 80.469 (74.685)
Epoch: [33][10650/14090]	Time 0.773 (0.770)	Data 0.001 (0.001)	Loss 2.3501 (2.2293)	Prec@1 40.625 (44.097)	Prec@5 69.531 (74.683)
Epoch: [33][10660/14090]	Time 0.887 (0.770)	Data 0.001 (0.001)	Loss 1.9665 (2.2293)	Prec@1 55.469 (44.097)	Prec@5 79.688 (74.684)
Epoch: [33][10670/14090]	Time 0.736 (0.770)	Data 0.001 (0.001)	Loss 2.2049 (2.2293)	Prec@1 46.094 (44.097)	Prec@5 76.562 (74.685)
Epoch: [33][10680/14090]	Time 0.762 (0.770)	Data 0.001 (0.001)	Loss 2.3769 (2.2293)	Prec@1 37.500 (44.098)	Prec@5 73.438 (74.686)
Epoch: [33][10690/14090]	Time 0.750 (0.770)	Data 0.002 (0.001)	Loss 2.3523 (2.2293)	Prec@1 40.625 (44.096)	Prec@5 71.875 (74.686)
Epoch: [33][10700/14090]	Time 0.757 (0.770)	Data 0.001 (0.001)	Loss 2.0897 (2.2293)	Prec@1 46.875 (44.096)	Prec@5 75.000 (74.685)
Epoch: [33][10710/14090]	Time 0.765 (0.770)	Data 0.001 (0.001)	Loss 2.4311 (2.2294)	Prec@1 36.719 (44.096)	Prec@5 70.312 (74.685)
Epoch: [33][10720/14090]	Time 0.735 (0.770)	Data 0.001 (0.001)	Loss 2.2476 (2.2294)	Prec@1 42.969 (44.095)	Prec@5 75.781 (74.682)
Epoch: [33][10730/14090]	Time 0.878 (0.770)	Data 0.001 (0.001)	Loss 2.3964 (2.2294)	Prec@1 42.188 (44.096)	Prec@5 71.875 (74.683)
Epoch: [33][10740/14090]	Time 0.755 (0.770)	Data 0.001 (0.001)	Loss 2.2799 (2.2295)	Prec@1 42.188 (44.095)	Prec@5 71.094 (74.682)
Epoch: [33][10750/14090]	Time 0.751 (0.770)	Data 0.001 (0.001)	Loss 2.3388 (2.2295)	Prec@1 43.750 (44.093)	Prec@5 75.000 (74.681)
Epoch: [33][10760/14090]	Time 0.750 (0.770)	Data 0.001 (0.001)	Loss 2.0018 (2.2296)	Prec@1 49.219 (44.091)	Prec@5 79.688 (74.680)
Epoch: [33][10770/14090]	Time 0.743 (0.770)	Data 0.001 (0.001)	Loss 2.2554 (2.2296)	Prec@1 42.969 (44.091)	Prec@5 76.562 (74.680)
Epoch: [33][10780/14090]	Time 0.729 (0.770)	Data 0.001 (0.001)	Loss 2.2606 (2.2295)	Prec@1 42.969 (44.092)	Prec@5 75.000 (74.681)
Epoch: [33][10790/14090]	Time 0.776 (0.770)	Data 0.001 (0.001)	Loss 2.2134 (2.2295)	Prec@1 42.969 (44.093)	Prec@5 77.344 (74.681)
Epoch: [33][10800/14090]	Time 0.913 (0.770)	Data 0.001 (0.001)	Loss 2.3445 (2.2295)	Prec@1 34.375 (44.093)	Prec@5 72.656 (74.682)
Epoch: [33][10810/14090]	Time 0.768 (0.770)	Data 0.001 (0.001)	Loss 2.1560 (2.2295)	Prec@1 43.750 (44.094)	Prec@5 75.781 (74.683)
Epoch: [33][10820/14090]	Time 0.738 (0.770)	Data 0.002 (0.001)	Loss 2.1048 (2.2295)	Prec@1 48.438 (44.093)	Prec@5 75.781 (74.683)
Epoch: [33][10830/14090]	Time 0.746 (0.770)	Data 0.001 (0.001)	Loss 2.0794 (2.2294)	Prec@1 46.094 (44.092)	Prec@5 76.562 (74.684)
Epoch: [33][10840/14090]	Time 0.745 (0.770)	Data 0.001 (0.001)	Loss 2.1877 (2.2295)	Prec@1 40.625 (44.091)	Prec@5 77.344 (74.684)
Epoch: [33][10850/14090]	Time 0.762 (0.770)	Data 0.003 (0.001)	Loss 2.1319 (2.2295)	Prec@1 41.406 (44.092)	Prec@5 76.562 (74.685)
Epoch: [33][10860/14090]	Time 0.751 (0.770)	Data 0.001 (0.001)	Loss 1.9678 (2.2294)	Prec@1 48.438 (44.093)	Prec@5 77.344 (74.686)
Epoch: [33][10870/14090]	Time 0.907 (0.770)	Data 0.001 (0.001)	Loss 2.3170 (2.2295)	Prec@1 42.969 (44.091)	Prec@5 71.875 (74.685)
Epoch: [33][10880/14090]	Time 0.734 (0.770)	Data 0.001 (0.001)	Loss 2.4206 (2.2296)	Prec@1 35.938 (44.089)	Prec@5 74.219 (74.684)
Epoch: [33][10890/14090]	Time 0.744 (0.770)	Data 0.001 (0.001)	Loss 2.2664 (2.2296)	Prec@1 42.188 (44.087)	Prec@5 71.094 (74.682)
Epoch: [33][10900/14090]	Time 0.722 (0.770)	Data 0.001 (0.001)	Loss 2.1826 (2.2296)	Prec@1 42.969 (44.087)	Prec@5 74.219 (74.682)
Epoch: [33][10910/14090]	Time 0.727 (0.770)	Data 0.001 (0.001)	Loss 2.4937 (2.2298)	Prec@1 45.312 (44.084)	Prec@5 67.188 (74.677)
Epoch: [33][10920/14090]	Time 0.730 (0.770)	Data 0.001 (0.001)	Loss 2.1928 (2.2297)	Prec@1 46.875 (44.085)	Prec@5 74.219 (74.677)
Epoch: [33][10930/14090]	Time 0.737 (0.770)	Data 0.001 (0.001)	Loss 2.1659 (2.2297)	Prec@1 44.531 (44.085)	Prec@5 72.656 (74.678)
Epoch: [33][10940/14090]	Time 1.027 (0.770)	Data 0.001 (0.001)	Loss 2.1982 (2.2297)	Prec@1 42.188 (44.085)	Prec@5 75.781 (74.678)
Epoch: [33][10950/14090]	Time 0.756 (0.770)	Data 0.001 (0.001)	Loss 2.1525 (2.2298)	Prec@1 48.438 (44.082)	Prec@5 73.438 (74.676)
Epoch: [33][10960/14090]	Time 0.782 (0.770)	Data 0.001 (0.001)	Loss 2.1481 (2.2298)	Prec@1 48.438 (44.082)	Prec@5 73.438 (74.674)
Epoch: [33][10970/14090]	Time 0.761 (0.770)	Data 0.001 (0.001)	Loss 2.1970 (2.2298)	Prec@1 46.875 (44.082)	Prec@5 74.219 (74.674)
Epoch: [33][10980/14090]	Time 0.727 (0.770)	Data 0.001 (0.001)	Loss 2.3018 (2.2298)	Prec@1 42.188 (44.083)	Prec@5 67.969 (74.676)
Epoch: [33][10990/14090]	Time 0.760 (0.770)	Data 0.001 (0.001)	Loss 2.1242 (2.2299)	Prec@1 43.750 (44.082)	Prec@5 72.656 (74.674)
Epoch: [33][11000/14090]	Time 0.731 (0.770)	Data 0.001 (0.001)	Loss 2.0134 (2.2299)	Prec@1 42.969 (44.081)	Prec@5 81.250 (74.674)
Epoch: [33][11010/14090]	Time 0.923 (0.770)	Data 0.001 (0.001)	Loss 2.1905 (2.2299)	Prec@1 42.188 (44.081)	Prec@5 77.344 (74.675)
Epoch: [33][11020/14090]	Time 0.751 (0.770)	Data 0.001 (0.001)	Loss 2.3415 (2.2299)	Prec@1 37.500 (44.080)	Prec@5 75.000 (74.674)
Epoch: [33][11030/14090]	Time 0.729 (0.770)	Data 0.001 (0.001)	Loss 2.2614 (2.2298)	Prec@1 45.312 (44.081)	Prec@5 73.438 (74.675)
Epoch: [33][11040/14090]	Time 0.769 (0.770)	Data 0.001 (0.001)	Loss 2.7254 (2.2299)	Prec@1 35.156 (44.079)	Prec@5 67.969 (74.674)
Epoch: [33][11050/14090]	Time 0.778 (0.770)	Data 0.001 (0.001)	Loss 2.4088 (2.2299)	Prec@1 41.406 (44.078)	Prec@5 73.438 (74.677)
Epoch: [33][11060/14090]	Time 0.732 (0.770)	Data 0.001 (0.001)	Loss 2.1176 (2.2299)	Prec@1 42.188 (44.077)	Prec@5 78.906 (74.675)
Epoch: [33][11070/14090]	Time 0.755 (0.770)	Data 0.001 (0.001)	Loss 2.2216 (2.2299)	Prec@1 44.531 (44.077)	Prec@5 71.094 (74.674)
Epoch: [33][11080/14090]	Time 0.958 (0.770)	Data 0.001 (0.001)	Loss 2.5551 (2.2300)	Prec@1 32.812 (44.074)	Prec@5 70.312 (74.674)
Epoch: [33][11090/14090]	Time 0.726 (0.770)	Data 0.001 (0.001)	Loss 2.3488 (2.2301)	Prec@1 42.969 (44.072)	Prec@5 69.531 (74.673)
Epoch: [33][11100/14090]	Time 0.736 (0.770)	Data 0.001 (0.001)	Loss 1.9608 (2.2301)	Prec@1 47.656 (44.071)	Prec@5 82.031 (74.672)
Epoch: [33][11110/14090]	Time 0.746 (0.770)	Data 0.001 (0.001)	Loss 2.2407 (2.2301)	Prec@1 45.312 (44.072)	Prec@5 75.000 (74.672)
Epoch: [33][11120/14090]	Time 0.766 (0.770)	Data 0.001 (0.001)	Loss 2.3743 (2.2302)	Prec@1 41.406 (44.070)	Prec@5 69.531 (74.671)
Epoch: [33][11130/14090]	Time 0.746 (0.770)	Data 0.001 (0.001)	Loss 2.3646 (2.2301)	Prec@1 43.750 (44.072)	Prec@5 74.219 (74.673)
Epoch: [33][11140/14090]	Time 0.743 (0.770)	Data 0.001 (0.001)	Loss 2.3706 (2.2301)	Prec@1 39.844 (44.072)	Prec@5 74.219 (74.673)
Epoch: [33][11150/14090]	Time 0.877 (0.770)	Data 0.001 (0.001)	Loss 2.3505 (2.2301)	Prec@1 44.531 (44.072)	Prec@5 72.656 (74.673)
Epoch: [33][11160/14090]	Time 0.740 (0.770)	Data 0.001 (0.001)	Loss 2.1081 (2.2301)	Prec@1 41.406 (44.071)	Prec@5 77.344 (74.672)
Epoch: [33][11170/14090]	Time 0.765 (0.770)	Data 0.001 (0.001)	Loss 1.9275 (2.2301)	Prec@1 46.875 (44.071)	Prec@5 85.156 (74.674)
Epoch: [33][11180/14090]	Time 0.758 (0.770)	Data 0.001 (0.001)	Loss 2.1474 (2.2301)	Prec@1 46.094 (44.072)	Prec@5 75.000 (74.674)
Epoch: [33][11190/14090]	Time 0.728 (0.770)	Data 0.001 (0.001)	Loss 2.3492 (2.2301)	Prec@1 42.188 (44.072)	Prec@5 75.000 (74.674)
Epoch: [33][11200/14090]	Time 0.763 (0.770)	Data 0.001 (0.001)	Loss 2.2206 (2.2301)	Prec@1 42.188 (44.073)	Prec@5 72.656 (74.675)
Epoch: [33][11210/14090]	Time 0.742 (0.770)	Data 0.001 (0.001)	Loss 2.2818 (2.2300)	Prec@1 48.438 (44.074)	Prec@5 74.219 (74.676)
Epoch: [33][11220/14090]	Time 0.876 (0.770)	Data 0.001 (0.001)	Loss 1.9879 (2.2300)	Prec@1 47.656 (44.075)	Prec@5 75.000 (74.676)
Epoch: [33][11230/14090]	Time 0.734 (0.770)	Data 0.001 (0.001)	Loss 2.1497 (2.2300)	Prec@1 41.406 (44.076)	Prec@5 75.781 (74.676)
Epoch: [33][11240/14090]	Time 0.731 (0.770)	Data 0.001 (0.001)	Loss 2.3207 (2.2301)	Prec@1 41.406 (44.075)	Prec@5 74.219 (74.676)
Epoch: [33][11250/14090]	Time 0.775 (0.770)	Data 0.001 (0.001)	Loss 2.2278 (2.2300)	Prec@1 44.531 (44.075)	Prec@5 76.562 (74.676)
Epoch: [33][11260/14090]	Time 0.780 (0.770)	Data 0.001 (0.001)	Loss 2.3652 (2.2300)	Prec@1 46.875 (44.078)	Prec@5 67.969 (74.676)
Epoch: [33][11270/14090]	Time 0.734 (0.770)	Data 0.001 (0.001)	Loss 2.1422 (2.2301)	Prec@1 45.312 (44.078)	Prec@5 72.656 (74.675)
Epoch: [33][11280/14090]	Time 0.732 (0.770)	Data 0.001 (0.001)	Loss 1.8977 (2.2301)	Prec@1 50.000 (44.078)	Prec@5 80.469 (74.674)
Epoch: [33][11290/14090]	Time 0.878 (0.770)	Data 0.001 (0.001)	Loss 1.9697 (2.2300)	Prec@1 45.312 (44.079)	Prec@5 82.812 (74.676)
Epoch: [33][11300/14090]	Time 0.751 (0.770)	Data 0.001 (0.001)	Loss 2.1367 (2.2300)	Prec@1 45.312 (44.079)	Prec@5 78.906 (74.676)
Epoch: [33][11310/14090]	Time 0.737 (0.770)	Data 0.001 (0.001)	Loss 2.2565 (2.2300)	Prec@1 37.500 (44.079)	Prec@5 75.000 (74.676)
Epoch: [33][11320/14090]	Time 0.749 (0.770)	Data 0.001 (0.001)	Loss 2.4108 (2.2300)	Prec@1 39.062 (44.079)	Prec@5 71.875 (74.679)
Epoch: [33][11330/14090]	Time 0.752 (0.770)	Data 0.001 (0.001)	Loss 2.2824 (2.2300)	Prec@1 41.406 (44.078)	Prec@5 73.438 (74.679)
Epoch: [33][11340/14090]	Time 0.779 (0.770)	Data 0.001 (0.001)	Loss 1.9314 (2.2299)	Prec@1 50.781 (44.079)	Prec@5 82.031 (74.680)
Epoch: [33][11350/14090]	Time 0.730 (0.770)	Data 0.001 (0.001)	Loss 2.3505 (2.2299)	Prec@1 38.281 (44.079)	Prec@5 73.438 (74.679)
Epoch: [33][11360/14090]	Time 0.877 (0.770)	Data 0.001 (0.001)	Loss 2.3195 (2.2299)	Prec@1 36.719 (44.077)	Prec@5 70.312 (74.679)
Epoch: [33][11370/14090]	Time 0.772 (0.770)	Data 0.001 (0.001)	Loss 2.1219 (2.2299)	Prec@1 40.625 (44.078)	Prec@5 78.906 (74.679)
Epoch: [33][11380/14090]	Time 0.746 (0.770)	Data 0.001 (0.001)	Loss 2.6098 (2.2299)	Prec@1 36.719 (44.079)	Prec@5 69.531 (74.680)
Epoch: [33][11390/14090]	Time 0.760 (0.770)	Data 0.001 (0.001)	Loss 2.4966 (2.2300)	Prec@1 37.500 (44.076)	Prec@5 64.844 (74.677)
Epoch: [33][11400/14090]	Time 0.762 (0.770)	Data 0.001 (0.001)	Loss 2.1942 (2.2300)	Prec@1 46.094 (44.076)	Prec@5 74.219 (74.676)
Epoch: [33][11410/14090]	Time 0.735 (0.770)	Data 0.001 (0.001)	Loss 2.2451 (2.2300)	Prec@1 38.281 (44.076)	Prec@5 73.438 (74.675)
Epoch: [33][11420/14090]	Time 0.731 (0.770)	Data 0.001 (0.001)	Loss 2.4285 (2.2301)	Prec@1 37.500 (44.075)	Prec@5 74.219 (74.675)
Epoch: [33][11430/14090]	Time 0.895 (0.770)	Data 0.001 (0.001)	Loss 2.1889 (2.2300)	Prec@1 39.062 (44.075)	Prec@5 79.688 (74.675)
Epoch: [33][11440/14090]	Time 0.729 (0.770)	Data 0.001 (0.001)	Loss 2.0297 (2.2301)	Prec@1 51.562 (44.073)	Prec@5 75.000 (74.675)
Epoch: [33][11450/14090]	Time 0.754 (0.770)	Data 0.001 (0.001)	Loss 1.9697 (2.2300)	Prec@1 49.219 (44.074)	Prec@5 79.688 (74.675)
Epoch: [33][11460/14090]	Time 0.728 (0.770)	Data 0.001 (0.001)	Loss 2.1824 (2.2300)	Prec@1 41.406 (44.074)	Prec@5 75.781 (74.675)
Epoch: [33][11470/14090]	Time 0.736 (0.770)	Data 0.001 (0.001)	Loss 1.9042 (2.2300)	Prec@1 51.562 (44.074)	Prec@5 78.125 (74.674)
Epoch: [33][11480/14090]	Time 0.759 (0.770)	Data 0.001 (0.001)	Loss 2.0402 (2.2300)	Prec@1 48.438 (44.073)	Prec@5 75.000 (74.675)
Epoch: [33][11490/14090]	Time 0.759 (0.770)	Data 0.001 (0.001)	Loss 2.2149 (2.2300)	Prec@1 46.094 (44.073)	Prec@5 74.219 (74.675)
Epoch: [33][11500/14090]	Time 0.885 (0.770)	Data 0.001 (0.001)	Loss 2.3459 (2.2300)	Prec@1 39.844 (44.074)	Prec@5 74.219 (74.677)
Epoch: [33][11510/14090]	Time 0.774 (0.770)	Data 0.001 (0.001)	Loss 2.5308 (2.2300)	Prec@1 38.281 (44.075)	Prec@5 69.531 (74.676)
Epoch: [33][11520/14090]	Time 0.738 (0.770)	Data 0.001 (0.001)	Loss 2.1287 (2.2300)	Prec@1 50.000 (44.076)	Prec@5 78.125 (74.679)
Epoch: [33][11530/14090]	Time 0.759 (0.770)	Data 0.001 (0.001)	Loss 2.5692 (2.2300)	Prec@1 35.938 (44.075)	Prec@5 67.188 (74.677)
Epoch: [33][11540/14090]	Time 0.745 (0.770)	Data 0.001 (0.001)	Loss 2.2130 (2.2300)	Prec@1 46.094 (44.074)	Prec@5 74.219 (74.677)
Epoch: [33][11550/14090]	Time 0.760 (0.770)	Data 0.001 (0.001)	Loss 2.2190 (2.2300)	Prec@1 42.969 (44.075)	Prec@5 74.219 (74.676)
Epoch: [33][11560/14090]	Time 0.752 (0.770)	Data 0.001 (0.001)	Loss 2.2541 (2.2300)	Prec@1 46.875 (44.075)	Prec@5 78.125 (74.676)
Epoch: [33][11570/14090]	Time 0.989 (0.770)	Data 0.002 (0.001)	Loss 2.3236 (2.2300)	Prec@1 40.625 (44.076)	Prec@5 75.000 (74.676)
Epoch: [33][11580/14090]	Time 0.755 (0.770)	Data 0.001 (0.001)	Loss 2.3681 (2.2300)	Prec@1 38.281 (44.074)	Prec@5 70.312 (74.676)
Epoch: [33][11590/14090]	Time 0.766 (0.770)	Data 0.001 (0.001)	Loss 2.0783 (2.2300)	Prec@1 43.750 (44.075)	Prec@5 80.469 (74.677)
Epoch: [33][11600/14090]	Time 0.743 (0.770)	Data 0.001 (0.001)	Loss 2.1444 (2.2300)	Prec@1 50.000 (44.074)	Prec@5 75.781 (74.676)
Epoch: [33][11610/14090]	Time 0.740 (0.770)	Data 0.001 (0.001)	Loss 2.2383 (2.2301)	Prec@1 46.094 (44.073)	Prec@5 74.219 (74.677)
Epoch: [33][11620/14090]	Time 0.728 (0.770)	Data 0.001 (0.001)	Loss 2.3079 (2.2300)	Prec@1 40.625 (44.072)	Prec@5 75.000 (74.678)
Epoch: [33][11630/14090]	Time 0.740 (0.770)	Data 0.001 (0.001)	Loss 1.9562 (2.2300)	Prec@1 45.312 (44.073)	Prec@5 82.031 (74.680)
Epoch: [33][11640/14090]	Time 0.899 (0.770)	Data 0.001 (0.001)	Loss 2.4156 (2.2300)	Prec@1 40.625 (44.071)	Prec@5 70.312 (74.679)
Epoch: [33][11650/14090]	Time 0.754 (0.770)	Data 0.001 (0.001)	Loss 2.4515 (2.2300)	Prec@1 39.062 (44.070)	Prec@5 71.094 (74.678)
Epoch: [33][11660/14090]	Time 0.748 (0.770)	Data 0.001 (0.001)	Loss 2.3404 (2.2301)	Prec@1 39.844 (44.068)	Prec@5 75.000 (74.675)
Epoch: [33][11670/14090]	Time 0.751 (0.770)	Data 0.001 (0.001)	Loss 2.2044 (2.2301)	Prec@1 46.875 (44.067)	Prec@5 72.656 (74.675)
Epoch: [33][11680/14090]	Time 0.739 (0.770)	Data 0.001 (0.001)	Loss 2.2478 (2.2302)	Prec@1 46.094 (44.067)	Prec@5 72.656 (74.675)
Epoch: [33][11690/14090]	Time 0.759 (0.770)	Data 0.001 (0.001)	Loss 2.1305 (2.2302)	Prec@1 46.875 (44.066)	Prec@5 76.562 (74.674)
Epoch: [33][11700/14090]	Time 0.754 (0.770)	Data 0.001 (0.001)	Loss 2.3080 (2.2302)	Prec@1 48.438 (44.066)	Prec@5 73.438 (74.673)
Epoch: [33][11710/14090]	Time 0.858 (0.770)	Data 0.001 (0.001)	Loss 2.3643 (2.2302)	Prec@1 41.406 (44.067)	Prec@5 71.875 (74.675)
Epoch: [33][11720/14090]	Time 0.744 (0.770)	Data 0.001 (0.001)	Loss 1.8849 (2.2301)	Prec@1 55.469 (44.069)	Prec@5 78.125 (74.674)
Epoch: [33][11730/14090]	Time 0.762 (0.770)	Data 0.001 (0.001)	Loss 2.4679 (2.2302)	Prec@1 39.062 (44.067)	Prec@5 70.312 (74.672)
Epoch: [33][11740/14090]	Time 0.747 (0.770)	Data 0.001 (0.001)	Loss 2.1816 (2.2302)	Prec@1 45.312 (44.066)	Prec@5 80.469 (74.671)
Epoch: [33][11750/14090]	Time 0.750 (0.770)	Data 0.001 (0.001)	Loss 2.2935 (2.2303)	Prec@1 45.312 (44.066)	Prec@5 72.656 (74.671)
Epoch: [33][11760/14090]	Time 0.740 (0.770)	Data 0.001 (0.001)	Loss 2.2788 (2.2303)	Prec@1 48.438 (44.068)	Prec@5 76.562 (74.671)
Epoch: [33][11770/14090]	Time 0.743 (0.770)	Data 0.002 (0.001)	Loss 2.1235 (2.2303)	Prec@1 42.188 (44.068)	Prec@5 73.438 (74.671)
Epoch: [33][11780/14090]	Time 0.902 (0.770)	Data 0.001 (0.001)	Loss 2.1063 (2.2303)	Prec@1 46.094 (44.068)	Prec@5 78.906 (74.670)
Epoch: [33][11790/14090]	Time 0.761 (0.770)	Data 0.001 (0.001)	Loss 2.1002 (2.2303)	Prec@1 45.312 (44.068)	Prec@5 73.438 (74.669)
Epoch: [33][11800/14090]	Time 0.768 (0.770)	Data 0.001 (0.001)	Loss 2.3460 (2.2304)	Prec@1 40.625 (44.068)	Prec@5 73.438 (74.668)
Epoch: [33][11810/14090]	Time 0.755 (0.770)	Data 0.001 (0.001)	Loss 2.2496 (2.2304)	Prec@1 47.656 (44.068)	Prec@5 74.219 (74.667)
Epoch: [33][11820/14090]	Time 0.750 (0.770)	Data 0.001 (0.001)	Loss 2.2036 (2.2303)	Prec@1 39.844 (44.068)	Prec@5 77.344 (74.669)
Epoch: [33][11830/14090]	Time 0.728 (0.770)	Data 0.001 (0.001)	Loss 2.1242 (2.2304)	Prec@1 40.625 (44.067)	Prec@5 78.906 (74.668)
Epoch: [33][11840/14090]	Time 0.752 (0.770)	Data 0.001 (0.001)	Loss 2.1282 (2.2304)	Prec@1 49.219 (44.067)	Prec@5 75.781 (74.666)
Epoch: [33][11850/14090]	Time 0.865 (0.770)	Data 0.001 (0.001)	Loss 2.3011 (2.2304)	Prec@1 42.969 (44.067)	Prec@5 71.875 (74.665)
Epoch: [33][11860/14090]	Time 0.759 (0.770)	Data 0.001 (0.001)	Loss 1.9140 (2.2304)	Prec@1 50.000 (44.069)	Prec@5 82.031 (74.666)
Epoch: [33][11870/14090]	Time 0.762 (0.770)	Data 0.001 (0.001)	Loss 2.6364 (2.2304)	Prec@1 32.031 (44.067)	Prec@5 67.188 (74.666)
Epoch: [33][11880/14090]	Time 0.740 (0.770)	Data 0.002 (0.001)	Loss 2.2362 (2.2304)	Prec@1 47.656 (44.067)	Prec@5 76.562 (74.666)
Epoch: [33][11890/14090]	Time 0.747 (0.770)	Data 0.001 (0.001)	Loss 2.1223 (2.2304)	Prec@1 41.406 (44.066)	Prec@5 77.344 (74.667)
Epoch: [33][11900/14090]	Time 0.759 (0.770)	Data 0.001 (0.001)	Loss 2.1163 (2.2304)	Prec@1 45.312 (44.067)	Prec@5 75.781 (74.667)
Epoch: [33][11910/14090]	Time 0.732 (0.770)	Data 0.001 (0.001)	Loss 2.3231 (2.2304)	Prec@1 44.531 (44.067)	Prec@5 71.094 (74.668)
Epoch: [33][11920/14090]	Time 0.942 (0.770)	Data 0.001 (0.001)	Loss 2.4706 (2.2303)	Prec@1 40.625 (44.067)	Prec@5 67.188 (74.669)
Epoch: [33][11930/14090]	Time 0.793 (0.770)	Data 0.001 (0.001)	Loss 2.2533 (2.2304)	Prec@1 42.188 (44.067)	Prec@5 76.562 (74.668)
Epoch: [33][11940/14090]	Time 0.743 (0.770)	Data 0.001 (0.001)	Loss 2.3922 (2.2304)	Prec@1 41.406 (44.068)	Prec@5 74.219 (74.668)
Epoch: [33][11950/14090]	Time 0.767 (0.770)	Data 0.001 (0.001)	Loss 2.2495 (2.2304)	Prec@1 40.625 (44.068)	Prec@5 76.562 (74.668)
Epoch: [33][11960/14090]	Time 0.784 (0.770)	Data 0.001 (0.001)	Loss 2.2734 (2.2304)	Prec@1 39.062 (44.067)	Prec@5 70.312 (74.669)
Epoch: [33][11970/14090]	Time 0.763 (0.770)	Data 0.001 (0.001)	Loss 2.2769 (2.2304)	Prec@1 46.094 (44.067)	Prec@5 75.000 (74.669)
Epoch: [33][11980/14090]	Time 0.733 (0.770)	Data 0.001 (0.001)	Loss 2.2006 (2.2304)	Prec@1 48.438 (44.068)	Prec@5 75.000 (74.669)
Epoch: [33][11990/14090]	Time 0.877 (0.770)	Data 0.001 (0.001)	Loss 2.2059 (2.2304)	Prec@1 46.094 (44.067)	Prec@5 73.438 (74.669)
Epoch: [33][12000/14090]	Time 0.780 (0.770)	Data 0.001 (0.001)	Loss 2.2169 (2.2304)	Prec@1 46.094 (44.065)	Prec@5 76.562 (74.668)
Epoch: [33][12010/14090]	Time 0.755 (0.770)	Data 0.001 (0.001)	Loss 2.2867 (2.2304)	Prec@1 45.312 (44.067)	Prec@5 73.438 (74.668)
Epoch: [33][12020/14090]	Time 0.735 (0.770)	Data 0.001 (0.001)	Loss 2.0391 (2.2304)	Prec@1 48.438 (44.066)	Prec@5 78.125 (74.669)
Epoch: [33][12030/14090]	Time 0.768 (0.770)	Data 0.001 (0.001)	Loss 2.2523 (2.2304)	Prec@1 50.000 (44.068)	Prec@5 70.312 (74.668)
Epoch: [33][12040/14090]	Time 0.754 (0.770)	Data 0.001 (0.001)	Loss 2.2587 (2.2304)	Prec@1 40.625 (44.068)	Prec@5 72.656 (74.669)
Epoch: [33][12050/14090]	Time 0.751 (0.770)	Data 0.002 (0.001)	Loss 2.0684 (2.2304)	Prec@1 52.344 (44.069)	Prec@5 77.344 (74.669)
Epoch: [33][12060/14090]	Time 0.845 (0.770)	Data 0.001 (0.001)	Loss 2.2598 (2.2303)	Prec@1 46.094 (44.068)	Prec@5 74.219 (74.669)
Epoch: [33][12070/14090]	Time 0.738 (0.770)	Data 0.001 (0.001)	Loss 2.4758 (2.2303)	Prec@1 39.844 (44.068)	Prec@5 71.094 (74.671)
Epoch: [33][12080/14090]	Time 0.760 (0.770)	Data 0.001 (0.001)	Loss 2.1517 (2.2304)	Prec@1 49.219 (44.069)	Prec@5 72.656 (74.671)
Epoch: [33][12090/14090]	Time 0.742 (0.770)	Data 0.001 (0.001)	Loss 2.0973 (2.2304)	Prec@1 49.219 (44.068)	Prec@5 77.344 (74.670)
Epoch: [33][12100/14090]	Time 0.753 (0.770)	Data 0.001 (0.001)	Loss 2.4174 (2.2304)	Prec@1 46.875 (44.070)	Prec@5 71.875 (74.669)
Epoch: [33][12110/14090]	Time 0.770 (0.770)	Data 0.001 (0.001)	Loss 2.3340 (2.2304)	Prec@1 44.531 (44.069)	Prec@5 73.438 (74.668)
Epoch: [33][12120/14090]	Time 0.754 (0.770)	Data 0.001 (0.001)	Loss 1.9347 (2.2303)	Prec@1 53.125 (44.071)	Prec@5 78.906 (74.669)
Epoch: [33][12130/14090]	Time 0.844 (0.770)	Data 0.001 (0.001)	Loss 2.2422 (2.2304)	Prec@1 42.969 (44.069)	Prec@5 77.344 (74.667)
Epoch: [33][12140/14090]	Time 0.767 (0.770)	Data 0.001 (0.001)	Loss 2.4875 (2.2304)	Prec@1 36.719 (44.069)	Prec@5 66.406 (74.667)
Epoch: [33][12150/14090]	Time 0.755 (0.770)	Data 0.001 (0.001)	Loss 2.1097 (2.2304)	Prec@1 44.531 (44.069)	Prec@5 78.125 (74.667)
Epoch: [33][12160/14090]	Time 0.754 (0.770)	Data 0.001 (0.001)	Loss 1.9657 (2.2304)	Prec@1 50.781 (44.072)	Prec@5 79.688 (74.666)
Epoch: [33][12170/14090]	Time 0.741 (0.770)	Data 0.001 (0.001)	Loss 2.1417 (2.2304)	Prec@1 48.438 (44.073)	Prec@5 74.219 (74.666)
Epoch: [33][12180/14090]	Time 0.757 (0.770)	Data 0.001 (0.001)	Loss 2.1789 (2.2304)	Prec@1 49.219 (44.073)	Prec@5 75.781 (74.665)
Epoch: [33][12190/14090]	Time 0.736 (0.770)	Data 0.001 (0.001)	Loss 2.3540 (2.2304)	Prec@1 45.312 (44.073)	Prec@5 74.219 (74.665)
Epoch: [33][12200/14090]	Time 1.024 (0.770)	Data 0.001 (0.001)	Loss 2.1538 (2.2304)	Prec@1 46.094 (44.074)	Prec@5 77.344 (74.665)
Epoch: [33][12210/14090]	Time 0.739 (0.770)	Data 0.001 (0.001)	Loss 2.0281 (2.2303)	Prec@1 50.000 (44.076)	Prec@5 80.469 (74.668)
Epoch: [33][12220/14090]	Time 0.779 (0.770)	Data 0.001 (0.001)	Loss 2.1967 (2.2303)	Prec@1 37.500 (44.075)	Prec@5 71.094 (74.668)
Epoch: [33][12230/14090]	Time 0.735 (0.770)	Data 0.001 (0.001)	Loss 2.2460 (2.2303)	Prec@1 47.656 (44.076)	Prec@5 75.000 (74.668)
Epoch: [33][12240/14090]	Time 0.768 (0.770)	Data 0.001 (0.001)	Loss 2.2222 (2.2303)	Prec@1 50.000 (44.079)	Prec@5 72.656 (74.667)
Epoch: [33][12250/14090]	Time 0.738 (0.770)	Data 0.001 (0.001)	Loss 2.2533 (2.2303)	Prec@1 42.969 (44.079)	Prec@5 76.562 (74.668)
Epoch: [33][12260/14090]	Time 0.750 (0.770)	Data 0.001 (0.001)	Loss 2.1408 (2.2302)	Prec@1 44.531 (44.080)	Prec@5 75.000 (74.671)
Epoch: [33][12270/14090]	Time 0.881 (0.770)	Data 0.001 (0.001)	Loss 1.9729 (2.2302)	Prec@1 46.875 (44.080)	Prec@5 78.125 (74.671)
Epoch: [33][12280/14090]	Time 0.735 (0.770)	Data 0.001 (0.001)	Loss 2.0580 (2.2302)	Prec@1 44.531 (44.080)	Prec@5 80.469 (74.672)
Epoch: [33][12290/14090]	Time 0.761 (0.770)	Data 0.001 (0.001)	Loss 2.3594 (2.2302)	Prec@1 44.531 (44.080)	Prec@5 72.656 (74.671)
Epoch: [33][12300/14090]	Time 0.740 (0.770)	Data 0.001 (0.001)	Loss 2.1123 (2.2302)	Prec@1 45.312 (44.080)	Prec@5 76.562 (74.671)
Epoch: [33][12310/14090]	Time 0.750 (0.770)	Data 0.001 (0.001)	Loss 2.2796 (2.2303)	Prec@1 42.969 (44.078)	Prec@5 72.656 (74.670)
Epoch: [33][12320/14090]	Time 0.736 (0.770)	Data 0.001 (0.001)	Loss 2.2688 (2.2303)	Prec@1 46.094 (44.077)	Prec@5 75.000 (74.670)
Epoch: [33][12330/14090]	Time 0.740 (0.770)	Data 0.001 (0.001)	Loss 2.2203 (2.2304)	Prec@1 41.406 (44.077)	Prec@5 76.562 (74.669)
Epoch: [33][12340/14090]	Time 0.870 (0.770)	Data 0.001 (0.001)	Loss 2.2727 (2.2304)	Prec@1 39.844 (44.077)	Prec@5 75.000 (74.670)
Epoch: [33][12350/14090]	Time 0.763 (0.770)	Data 0.001 (0.001)	Loss 2.3249 (2.2304)	Prec@1 42.969 (44.076)	Prec@5 76.562 (74.668)
Epoch: [33][12360/14090]	Time 0.775 (0.770)	Data 0.001 (0.001)	Loss 2.4175 (2.2304)	Prec@1 42.188 (44.075)	Prec@5 69.531 (74.669)
Epoch: [33][12370/14090]	Time 0.745 (0.770)	Data 0.001 (0.001)	Loss 2.5912 (2.2305)	Prec@1 39.062 (44.074)	Prec@5 65.625 (74.667)
Epoch: [33][12380/14090]	Time 0.778 (0.770)	Data 0.001 (0.001)	Loss 2.3230 (2.2305)	Prec@1 41.406 (44.073)	Prec@5 72.656 (74.668)
Epoch: [33][12390/14090]	Time 0.723 (0.770)	Data 0.001 (0.001)	Loss 2.3605 (2.2305)	Prec@1 40.625 (44.073)	Prec@5 67.969 (74.666)
Epoch: [33][12400/14090]	Time 0.726 (0.770)	Data 0.001 (0.001)	Loss 2.1351 (2.2305)	Prec@1 48.438 (44.074)	Prec@5 75.781 (74.667)
Epoch: [33][12410/14090]	Time 0.930 (0.770)	Data 0.001 (0.001)	Loss 2.2884 (2.2305)	Prec@1 39.062 (44.073)	Prec@5 76.562 (74.667)
Epoch: [33][12420/14090]	Time 0.745 (0.770)	Data 0.001 (0.001)	Loss 2.2452 (2.2304)	Prec@1 36.719 (44.072)	Prec@5 76.562 (74.668)
Epoch: [33][12430/14090]	Time 0.733 (0.770)	Data 0.001 (0.001)	Loss 2.4405 (2.2306)	Prec@1 43.750 (44.070)	Prec@5 72.656 (74.666)
Epoch: [33][12440/14090]	Time 0.730 (0.770)	Data 0.001 (0.001)	Loss 2.1426 (2.2305)	Prec@1 46.094 (44.070)	Prec@5 75.000 (74.666)
Epoch: [33][12450/14090]	Time 0.765 (0.770)	Data 0.001 (0.001)	Loss 2.4027 (2.2306)	Prec@1 35.938 (44.068)	Prec@5 71.875 (74.665)
Epoch: [33][12460/14090]	Time 0.756 (0.770)	Data 0.001 (0.001)	Loss 2.2083 (2.2306)	Prec@1 47.656 (44.069)	Prec@5 76.562 (74.664)
Epoch: [33][12470/14090]	Time 0.760 (0.770)	Data 0.001 (0.001)	Loss 2.2324 (2.2306)	Prec@1 43.750 (44.069)	Prec@5 75.000 (74.664)
Epoch: [33][12480/14090]	Time 0.984 (0.770)	Data 0.001 (0.001)	Loss 2.2878 (2.2307)	Prec@1 44.531 (44.067)	Prec@5 73.438 (74.662)
Epoch: [33][12490/14090]	Time 0.733 (0.770)	Data 0.001 (0.001)	Loss 2.1808 (2.2307)	Prec@1 44.531 (44.065)	Prec@5 78.125 (74.662)
Epoch: [33][12500/14090]	Time 0.762 (0.770)	Data 0.001 (0.001)	Loss 2.4533 (2.2307)	Prec@1 37.500 (44.065)	Prec@5 68.750 (74.663)
Epoch: [33][12510/14090]	Time 0.758 (0.770)	Data 0.001 (0.001)	Loss 2.1386 (2.2307)	Prec@1 46.875 (44.065)	Prec@5 78.125 (74.663)
Epoch: [33][12520/14090]	Time 0.782 (0.770)	Data 0.001 (0.001)	Loss 2.4205 (2.2307)	Prec@1 35.938 (44.065)	Prec@5 72.656 (74.663)
Epoch: [33][12530/14090]	Time 0.759 (0.770)	Data 0.001 (0.001)	Loss 2.2667 (2.2307)	Prec@1 42.969 (44.066)	Prec@5 71.094 (74.663)
Epoch: [33][12540/14090]	Time 0.728 (0.770)	Data 0.001 (0.001)	Loss 2.3145 (2.2308)	Prec@1 37.500 (44.064)	Prec@5 80.469 (74.662)
Epoch: [33][12550/14090]	Time 0.874 (0.770)	Data 0.001 (0.001)	Loss 2.2972 (2.2308)	Prec@1 39.844 (44.062)	Prec@5 72.656 (74.662)
Epoch: [33][12560/14090]	Time 0.731 (0.770)	Data 0.001 (0.001)	Loss 2.3270 (2.2308)	Prec@1 42.188 (44.062)	Prec@5 68.750 (74.662)
Epoch: [33][12570/14090]	Time 0.759 (0.770)	Data 0.001 (0.001)	Loss 2.3917 (2.2308)	Prec@1 39.062 (44.063)	Prec@5 73.438 (74.662)
Epoch: [33][12580/14090]	Time 0.760 (0.770)	Data 0.001 (0.001)	Loss 2.2005 (2.2308)	Prec@1 46.094 (44.063)	Prec@5 77.344 (74.662)
Epoch: [33][12590/14090]	Time 0.759 (0.770)	Data 0.001 (0.001)	Loss 2.1883 (2.2308)	Prec@1 45.312 (44.061)	Prec@5 75.000 (74.661)
Epoch: [33][12600/14090]	Time 0.771 (0.770)	Data 0.001 (0.001)	Loss 2.1339 (2.2308)	Prec@1 41.406 (44.061)	Prec@5 72.656 (74.661)
Epoch: [33][12610/14090]	Time 0.748 (0.770)	Data 0.001 (0.001)	Loss 2.1741 (2.2307)	Prec@1 39.062 (44.062)	Prec@5 78.125 (74.663)
Epoch: [33][12620/14090]	Time 0.873 (0.770)	Data 0.001 (0.001)	Loss 2.2621 (2.2307)	Prec@1 47.656 (44.063)	Prec@5 75.781 (74.663)
Epoch: [33][12630/14090]	Time 0.754 (0.770)	Data 0.001 (0.001)	Loss 1.9765 (2.2307)	Prec@1 44.531 (44.061)	Prec@5 76.562 (74.662)
Epoch: [33][12640/14090]	Time 0.742 (0.770)	Data 0.001 (0.001)	Loss 2.1218 (2.2307)	Prec@1 48.438 (44.063)	Prec@5 72.656 (74.663)
Epoch: [33][12650/14090]	Time 0.769 (0.770)	Data 0.001 (0.001)	Loss 2.0753 (2.2307)	Prec@1 45.312 (44.062)	Prec@5 80.469 (74.662)
Epoch: [33][12660/14090]	Time 0.741 (0.770)	Data 0.001 (0.001)	Loss 2.3466 (2.2307)	Prec@1 41.406 (44.060)	Prec@5 74.219 (74.661)
Epoch: [33][12670/14090]	Time 0.719 (0.770)	Data 0.001 (0.001)	Loss 2.1235 (2.2308)	Prec@1 42.969 (44.060)	Prec@5 78.125 (74.661)
Epoch: [33][12680/14090]	Time 0.743 (0.770)	Data 0.001 (0.001)	Loss 2.4905 (2.2308)	Prec@1 41.406 (44.059)	Prec@5 71.094 (74.659)
Epoch: [33][12690/14090]	Time 0.836 (0.770)	Data 0.001 (0.001)	Loss 2.1878 (2.2309)	Prec@1 44.531 (44.059)	Prec@5 79.688 (74.659)
Epoch: [33][12700/14090]	Time 0.762 (0.770)	Data 0.001 (0.001)	Loss 2.2171 (2.2308)	Prec@1 45.312 (44.060)	Prec@5 71.875 (74.661)
Epoch: [33][12710/14090]	Time 0.736 (0.770)	Data 0.001 (0.001)	Loss 1.9448 (2.2308)	Prec@1 47.656 (44.061)	Prec@5 78.906 (74.662)
Epoch: [33][12720/14090]	Time 0.734 (0.770)	Data 0.001 (0.001)	Loss 2.0496 (2.2308)	Prec@1 48.438 (44.062)	Prec@5 78.125 (74.663)
Epoch: [33][12730/14090]	Time 0.775 (0.770)	Data 0.001 (0.001)	Loss 2.5253 (2.2310)	Prec@1 42.969 (44.059)	Prec@5 69.531 (74.661)
Epoch: [33][12740/14090]	Time 0.754 (0.770)	Data 0.001 (0.001)	Loss 2.3322 (2.2309)	Prec@1 46.094 (44.060)	Prec@5 71.094 (74.660)
Epoch: [33][12750/14090]	Time 0.744 (0.770)	Data 0.001 (0.001)	Loss 2.2104 (2.2309)	Prec@1 43.750 (44.061)	Prec@5 76.562 (74.661)
Epoch: [33][12760/14090]	Time 0.844 (0.770)	Data 0.001 (0.001)	Loss 2.4801 (2.2309)	Prec@1 36.719 (44.060)	Prec@5 71.875 (74.662)
Epoch: [33][12770/14090]	Time 0.747 (0.770)	Data 0.001 (0.001)	Loss 2.3359 (2.2310)	Prec@1 43.750 (44.060)	Prec@5 71.094 (74.661)
Epoch: [33][12780/14090]	Time 0.734 (0.770)	Data 0.001 (0.001)	Loss 2.0625 (2.2310)	Prec@1 50.781 (44.060)	Prec@5 77.344 (74.661)
Epoch: [33][12790/14090]	Time 0.740 (0.770)	Data 0.001 (0.001)	Loss 2.3236 (2.2310)	Prec@1 38.281 (44.060)	Prec@5 68.750 (74.662)
Epoch: [33][12800/14090]	Time 0.747 (0.770)	Data 0.002 (0.001)	Loss 2.4035 (2.2310)	Prec@1 35.938 (44.059)	Prec@5 68.750 (74.661)
Epoch: [33][12810/14090]	Time 0.761 (0.770)	Data 0.001 (0.001)	Loss 2.0717 (2.2310)	Prec@1 53.125 (44.059)	Prec@5 74.219 (74.660)
Epoch: [33][12820/14090]	Time 0.755 (0.770)	Data 0.001 (0.001)	Loss 2.6369 (2.2310)	Prec@1 32.031 (44.059)	Prec@5 66.406 (74.660)
Epoch: [33][12830/14090]	Time 0.840 (0.770)	Data 0.001 (0.001)	Loss 2.1062 (2.2310)	Prec@1 39.844 (44.058)	Prec@5 78.906 (74.660)
Epoch: [33][12840/14090]	Time 0.746 (0.770)	Data 0.001 (0.001)	Loss 2.1147 (2.2310)	Prec@1 42.188 (44.058)	Prec@5 73.438 (74.659)
Epoch: [33][12850/14090]	Time 0.740 (0.770)	Data 0.001 (0.001)	Loss 2.1137 (2.2310)	Prec@1 47.656 (44.057)	Prec@5 75.000 (74.659)
Epoch: [33][12860/14090]	Time 0.748 (0.770)	Data 0.001 (0.001)	Loss 2.3120 (2.2311)	Prec@1 37.500 (44.056)	Prec@5 75.781 (74.658)
Epoch: [33][12870/14090]	Time 0.745 (0.770)	Data 0.001 (0.001)	Loss 2.1603 (2.2311)	Prec@1 42.969 (44.054)	Prec@5 72.656 (74.657)
Epoch: [33][12880/14090]	Time 0.768 (0.770)	Data 0.001 (0.001)	Loss 2.2180 (2.2312)	Prec@1 40.625 (44.053)	Prec@5 72.656 (74.656)
Epoch: [33][12890/14090]	Time 0.736 (0.770)	Data 0.001 (0.001)	Loss 2.1612 (2.2311)	Prec@1 39.844 (44.052)	Prec@5 75.000 (74.657)
Epoch: [33][12900/14090]	Time 1.017 (0.770)	Data 0.001 (0.001)	Loss 1.9026 (2.2311)	Prec@1 48.438 (44.054)	Prec@5 81.250 (74.657)
Epoch: [33][12910/14090]	Time 0.755 (0.770)	Data 0.001 (0.001)	Loss 2.1146 (2.2311)	Prec@1 42.969 (44.054)	Prec@5 78.906 (74.657)
Epoch: [33][12920/14090]	Time 0.764 (0.770)	Data 0.001 (0.001)	Loss 2.4047 (2.2311)	Prec@1 39.062 (44.054)	Prec@5 75.781 (74.658)
Epoch: [33][12930/14090]	Time 0.734 (0.770)	Data 0.001 (0.001)	Loss 2.2541 (2.2311)	Prec@1 44.531 (44.053)	Prec@5 75.000 (74.657)
Epoch: [33][12940/14090]	Time 0.746 (0.770)	Data 0.001 (0.001)	Loss 2.3249 (2.2311)	Prec@1 42.969 (44.053)	Prec@5 78.125 (74.658)
Epoch: [33][12950/14090]	Time 0.751 (0.770)	Data 0.001 (0.001)	Loss 2.3426 (2.2311)	Prec@1 40.625 (44.052)	Prec@5 66.406 (74.659)
Epoch: [33][12960/14090]	Time 0.757 (0.770)	Data 0.001 (0.001)	Loss 2.1978 (2.2312)	Prec@1 42.969 (44.050)	Prec@5 75.781 (74.658)
Epoch: [33][12970/14090]	Time 0.849 (0.770)	Data 0.001 (0.001)	Loss 2.5909 (2.2312)	Prec@1 35.938 (44.048)	Prec@5 68.750 (74.656)
Epoch: [33][12980/14090]	Time 0.754 (0.770)	Data 0.001 (0.001)	Loss 2.0575 (2.2313)	Prec@1 46.875 (44.047)	Prec@5 78.125 (74.657)
Epoch: [33][12990/14090]	Time 0.781 (0.770)	Data 0.001 (0.001)	Loss 2.4767 (2.2312)	Prec@1 38.281 (44.048)	Prec@5 71.875 (74.658)
Epoch: [33][13000/14090]	Time 0.728 (0.770)	Data 0.001 (0.001)	Loss 2.3431 (2.2312)	Prec@1 40.625 (44.048)	Prec@5 75.000 (74.658)
Epoch: [33][13010/14090]	Time 0.736 (0.770)	Data 0.001 (0.001)	Loss 2.3351 (2.2312)	Prec@1 43.750 (44.049)	Prec@5 77.344 (74.659)
Epoch: [33][13020/14090]	Time 0.762 (0.770)	Data 0.001 (0.001)	Loss 2.4918 (2.2312)	Prec@1 41.406 (44.048)	Prec@5 68.750 (74.658)
Epoch: [33][13030/14090]	Time 0.757 (0.770)	Data 0.001 (0.001)	Loss 2.0628 (2.2312)	Prec@1 48.438 (44.048)	Prec@5 75.781 (74.657)
Epoch: [33][13040/14090]	Time 0.882 (0.770)	Data 0.001 (0.001)	Loss 2.5901 (2.2313)	Prec@1 33.594 (44.047)	Prec@5 65.625 (74.657)
Epoch: [33][13050/14090]	Time 0.744 (0.770)	Data 0.001 (0.001)	Loss 2.2330 (2.2313)	Prec@1 42.969 (44.046)	Prec@5 75.781 (74.656)
Epoch: [33][13060/14090]	Time 0.761 (0.770)	Data 0.001 (0.001)	Loss 2.1417 (2.2314)	Prec@1 50.000 (44.046)	Prec@5 75.781 (74.655)
Epoch: [33][13070/14090]	Time 0.769 (0.770)	Data 0.001 (0.001)	Loss 2.5464 (2.2314)	Prec@1 35.938 (44.045)	Prec@5 68.750 (74.654)
Epoch: [33][13080/14090]	Time 0.770 (0.770)	Data 0.001 (0.001)	Loss 2.0017 (2.2313)	Prec@1 51.562 (44.046)	Prec@5 78.906 (74.655)
Epoch: [33][13090/14090]	Time 0.747 (0.770)	Data 0.001 (0.001)	Loss 2.2698 (2.2314)	Prec@1 46.094 (44.046)	Prec@5 72.656 (74.654)
Epoch: [33][13100/14090]	Time 0.774 (0.770)	Data 0.001 (0.001)	Loss 2.1468 (2.2314)	Prec@1 46.875 (44.047)	Prec@5 72.656 (74.653)
Epoch: [33][13110/14090]	Time 0.875 (0.770)	Data 0.001 (0.001)	Loss 2.5392 (2.2314)	Prec@1 39.062 (44.046)	Prec@5 67.188 (74.654)
Epoch: [33][13120/14090]	Time 0.753 (0.770)	Data 0.001 (0.001)	Loss 2.3023 (2.2314)	Prec@1 39.062 (44.045)	Prec@5 76.562 (74.654)
Epoch: [33][13130/14090]	Time 0.782 (0.770)	Data 0.001 (0.001)	Loss 2.0823 (2.2314)	Prec@1 39.844 (44.043)	Prec@5 82.812 (74.653)
Epoch: [33][13140/14090]	Time 0.745 (0.770)	Data 0.001 (0.001)	Loss 2.0475 (2.2314)	Prec@1 50.781 (44.044)	Prec@5 78.906 (74.652)
Epoch: [33][13150/14090]	Time 0.754 (0.770)	Data 0.001 (0.001)	Loss 2.5660 (2.2314)	Prec@1 37.500 (44.044)	Prec@5 67.969 (74.652)
Epoch: [33][13160/14090]	Time 0.765 (0.770)	Data 0.001 (0.001)	Loss 2.2801 (2.2314)	Prec@1 43.750 (44.045)	Prec@5 71.875 (74.653)
Epoch: [33][13170/14090]	Time 0.762 (0.770)	Data 0.001 (0.001)	Loss 2.0435 (2.2314)	Prec@1 50.781 (44.045)	Prec@5 78.125 (74.653)
Epoch: [33][13180/14090]	Time 0.874 (0.770)	Data 0.001 (0.001)	Loss 1.9703 (2.2314)	Prec@1 50.781 (44.045)	Prec@5 79.688 (74.653)
Epoch: [33][13190/14090]	Time 0.743 (0.770)	Data 0.001 (0.001)	Loss 2.4539 (2.2314)	Prec@1 39.844 (44.046)	Prec@5 75.000 (74.653)
Epoch: [33][13200/14090]	Time 0.750 (0.770)	Data 0.001 (0.001)	Loss 2.4830 (2.2315)	Prec@1 36.719 (44.045)	Prec@5 70.312 (74.652)
Epoch: [33][13210/14090]	Time 0.728 (0.770)	Data 0.001 (0.001)	Loss 2.1050 (2.2314)	Prec@1 44.531 (44.043)	Prec@5 80.469 (74.652)
Epoch: [33][13220/14090]	Time 0.753 (0.770)	Data 0.001 (0.001)	Loss 2.2703 (2.2315)	Prec@1 36.719 (44.043)	Prec@5 78.125 (74.652)
Epoch: [33][13230/14090]	Time 0.746 (0.770)	Data 0.001 (0.001)	Loss 2.1951 (2.2315)	Prec@1 39.844 (44.042)	Prec@5 75.781 (74.651)
Epoch: [33][13240/14090]	Time 0.730 (0.770)	Data 0.001 (0.001)	Loss 2.2798 (2.2315)	Prec@1 40.625 (44.041)	Prec@5 69.531 (74.650)
Epoch: [33][13250/14090]	Time 0.884 (0.770)	Data 0.001 (0.001)	Loss 2.3665 (2.2315)	Prec@1 41.406 (44.041)	Prec@5 75.000 (74.650)
Epoch: [33][13260/14090]	Time 0.748 (0.770)	Data 0.001 (0.001)	Loss 2.1605 (2.2316)	Prec@1 46.875 (44.040)	Prec@5 75.781 (74.649)
Epoch: [33][13270/14090]	Time 0.757 (0.770)	Data 0.001 (0.001)	Loss 2.1738 (2.2316)	Prec@1 50.781 (44.041)	Prec@5 75.781 (74.648)
Epoch: [33][13280/14090]	Time 0.729 (0.770)	Data 0.001 (0.001)	Loss 2.0492 (2.2315)	Prec@1 53.125 (44.041)	Prec@5 75.781 (74.648)
Epoch: [33][13290/14090]	Time 0.724 (0.770)	Data 0.001 (0.001)	Loss 2.3317 (2.2315)	Prec@1 40.625 (44.041)	Prec@5 74.219 (74.648)
Epoch: [33][13300/14090]	Time 0.755 (0.770)	Data 0.001 (0.001)	Loss 2.2911 (2.2315)	Prec@1 37.500 (44.041)	Prec@5 75.000 (74.649)
Epoch: [33][13310/14090]	Time 0.742 (0.770)	Data 0.001 (0.001)	Loss 2.0081 (2.2314)	Prec@1 51.562 (44.041)	Prec@5 79.688 (74.650)
Epoch: [33][13320/14090]	Time 1.022 (0.770)	Data 0.001 (0.001)	Loss 2.1933 (2.2314)	Prec@1 43.750 (44.041)	Prec@5 79.688 (74.650)
Epoch: [33][13330/14090]	Time 0.752 (0.770)	Data 0.001 (0.001)	Loss 2.1513 (2.2314)	Prec@1 42.188 (44.041)	Prec@5 74.219 (74.650)
Epoch: [33][13340/14090]	Time 0.756 (0.770)	Data 0.001 (0.001)	Loss 2.4054 (2.2314)	Prec@1 42.969 (44.041)	Prec@5 75.781 (74.650)
Epoch: [33][13350/14090]	Time 0.735 (0.770)	Data 0.001 (0.001)	Loss 2.6280 (2.2315)	Prec@1 38.281 (44.039)	Prec@5 66.406 (74.648)
Epoch: [33][13360/14090]	Time 0.736 (0.770)	Data 0.001 (0.001)	Loss 2.3225 (2.2315)	Prec@1 41.406 (44.038)	Prec@5 77.344 (74.648)
Epoch: [33][13370/14090]	Time 0.749 (0.770)	Data 0.001 (0.001)	Loss 2.1516 (2.2315)	Prec@1 45.312 (44.038)	Prec@5 72.656 (74.649)
Epoch: [33][13380/14090]	Time 0.737 (0.770)	Data 0.001 (0.001)	Loss 2.5792 (2.2315)	Prec@1 39.844 (44.038)	Prec@5 66.406 (74.648)
Epoch: [33][13390/14090]	Time 0.825 (0.770)	Data 0.001 (0.001)	Loss 2.2099 (2.2315)	Prec@1 43.750 (44.040)	Prec@5 74.219 (74.649)
Epoch: [33][13400/14090]	Time 0.729 (0.770)	Data 0.001 (0.001)	Loss 2.2685 (2.2315)	Prec@1 46.875 (44.041)	Prec@5 70.312 (74.648)
Epoch: [33][13410/14090]	Time 0.731 (0.770)	Data 0.001 (0.001)	Loss 2.4325 (2.2315)	Prec@1 40.625 (44.039)	Prec@5 73.438 (74.648)
Epoch: [33][13420/14090]	Time 0.764 (0.770)	Data 0.001 (0.001)	Loss 2.4824 (2.2315)	Prec@1 38.281 (44.040)	Prec@5 75.781 (74.648)
Epoch: [33][13430/14090]	Time 0.765 (0.770)	Data 0.001 (0.001)	Loss 2.2661 (2.2315)	Prec@1 42.969 (44.042)	Prec@5 73.438 (74.649)
Epoch: [33][13440/14090]	Time 0.750 (0.770)	Data 0.001 (0.001)	Loss 2.0376 (2.2315)	Prec@1 49.219 (44.042)	Prec@5 75.000 (74.649)
Epoch: [33][13450/14090]	Time 0.762 (0.770)	Data 0.001 (0.001)	Loss 2.3447 (2.2314)	Prec@1 42.969 (44.043)	Prec@5 73.438 (74.649)
Epoch: [33][13460/14090]	Time 0.860 (0.770)	Data 0.001 (0.001)	Loss 2.1512 (2.2314)	Prec@1 48.438 (44.044)	Prec@5 78.125 (74.650)
Epoch: [33][13470/14090]	Time 0.752 (0.770)	Data 0.001 (0.001)	Loss 2.1651 (2.2314)	Prec@1 44.531 (44.044)	Prec@5 78.125 (74.651)
Epoch: [33][13480/14090]	Time 0.743 (0.770)	Data 0.001 (0.001)	Loss 2.2152 (2.2314)	Prec@1 47.656 (44.045)	Prec@5 73.438 (74.652)
Epoch: [33][13490/14090]	Time 0.738 (0.770)	Data 0.001 (0.001)	Loss 2.2487 (2.2314)	Prec@1 47.656 (44.046)	Prec@5 75.781 (74.651)
Epoch: [33][13500/14090]	Time 0.761 (0.770)	Data 0.001 (0.001)	Loss 2.0690 (2.2314)	Prec@1 53.125 (44.045)	Prec@5 75.781 (74.650)
Epoch: [33][13510/14090]	Time 0.752 (0.770)	Data 0.001 (0.001)	Loss 2.1920 (2.2314)	Prec@1 39.062 (44.046)	Prec@5 78.125 (74.651)
Epoch: [33][13520/14090]	Time 0.730 (0.770)	Data 0.001 (0.001)	Loss 2.0881 (2.2314)	Prec@1 49.219 (44.046)	Prec@5 78.906 (74.651)
Epoch: [33][13530/14090]	Time 0.880 (0.770)	Data 0.001 (0.001)	Loss 2.5415 (2.2315)	Prec@1 40.625 (44.045)	Prec@5 70.312 (74.649)
Epoch: [33][13540/14090]	Time 0.756 (0.770)	Data 0.001 (0.001)	Loss 2.3264 (2.2315)	Prec@1 44.531 (44.045)	Prec@5 72.656 (74.648)
Epoch: [33][13550/14090]	Time 0.734 (0.770)	Data 0.001 (0.001)	Loss 2.4348 (2.2316)	Prec@1 38.281 (44.044)	Prec@5 70.312 (74.647)
Epoch: [33][13560/14090]	Time 0.742 (0.770)	Data 0.001 (0.001)	Loss 2.3241 (2.2316)	Prec@1 42.969 (44.045)	Prec@5 71.875 (74.648)
Epoch: [33][13570/14090]	Time 0.754 (0.770)	Data 0.001 (0.001)	Loss 2.1296 (2.2316)	Prec@1 47.656 (44.046)	Prec@5 75.781 (74.648)
Epoch: [33][13580/14090]	Time 0.747 (0.770)	Data 0.001 (0.001)	Loss 2.2822 (2.2315)	Prec@1 39.844 (44.046)	Prec@5 74.219 (74.649)
Epoch: [33][13590/14090]	Time 0.747 (0.770)	Data 0.001 (0.001)	Loss 2.1656 (2.2315)	Prec@1 49.219 (44.048)	Prec@5 72.656 (74.649)
Epoch: [33][13600/14090]	Time 0.961 (0.770)	Data 0.001 (0.001)	Loss 2.3870 (2.2315)	Prec@1 42.969 (44.047)	Prec@5 71.875 (74.650)
Epoch: [33][13610/14090]	Time 0.747 (0.770)	Data 0.001 (0.001)	Loss 1.8054 (2.2315)	Prec@1 50.781 (44.047)	Prec@5 82.031 (74.649)
Epoch: [33][13620/14090]	Time 0.758 (0.770)	Data 0.001 (0.001)	Loss 2.5010 (2.2316)	Prec@1 40.625 (44.046)	Prec@5 72.656 (74.649)
Epoch: [33][13630/14090]	Time 0.789 (0.770)	Data 0.001 (0.001)	Loss 1.9387 (2.2316)	Prec@1 53.125 (44.046)	Prec@5 81.250 (74.650)
Epoch: [33][13640/14090]	Time 0.735 (0.770)	Data 0.001 (0.001)	Loss 2.1003 (2.2316)	Prec@1 46.094 (44.046)	Prec@5 79.688 (74.648)
Epoch: [33][13650/14090]	Time 0.758 (0.770)	Data 0.001 (0.001)	Loss 2.0672 (2.2316)	Prec@1 44.531 (44.047)	Prec@5 78.906 (74.649)
Epoch: [33][13660/14090]	Time 0.749 (0.770)	Data 0.001 (0.001)	Loss 2.0190 (2.2316)	Prec@1 42.188 (44.045)	Prec@5 82.812 (74.650)
Epoch: [33][13670/14090]	Time 0.874 (0.770)	Data 0.001 (0.001)	Loss 2.1432 (2.2316)	Prec@1 45.312 (44.046)	Prec@5 76.562 (74.649)
Epoch: [33][13680/14090]	Time 0.731 (0.770)	Data 0.001 (0.001)	Loss 2.0747 (2.2315)	Prec@1 50.000 (44.047)	Prec@5 81.250 (74.650)
Epoch: [33][13690/14090]	Time 0.770 (0.770)	Data 0.001 (0.001)	Loss 2.3729 (2.2315)	Prec@1 44.531 (44.047)	Prec@5 74.219 (74.651)
Epoch: [33][13700/14090]	Time 0.764 (0.770)	Data 0.001 (0.001)	Loss 2.2232 (2.2314)	Prec@1 46.094 (44.049)	Prec@5 76.562 (74.653)
Epoch: [33][13710/14090]	Time 0.755 (0.770)	Data 0.001 (0.001)	Loss 2.3746 (2.2315)	Prec@1 39.062 (44.047)	Prec@5 71.094 (74.651)
Epoch: [33][13720/14090]	Time 0.755 (0.770)	Data 0.001 (0.001)	Loss 2.2997 (2.2315)	Prec@1 43.750 (44.047)	Prec@5 75.781 (74.651)
Epoch: [33][13730/14090]	Time 0.750 (0.770)	Data 0.001 (0.001)	Loss 2.4414 (2.2315)	Prec@1 43.750 (44.046)	Prec@5 70.312 (74.649)
Epoch: [33][13740/14090]	Time 0.871 (0.770)	Data 0.001 (0.001)	Loss 2.1203 (2.2316)	Prec@1 52.344 (44.046)	Prec@5 78.906 (74.649)
Epoch: [33][13750/14090]	Time 0.727 (0.770)	Data 0.001 (0.001)	Loss 2.3559 (2.2315)	Prec@1 42.969 (44.047)	Prec@5 72.656 (74.648)
Epoch: [33][13760/14090]	Time 0.739 (0.770)	Data 0.002 (0.001)	Loss 2.4996 (2.2316)	Prec@1 39.062 (44.046)	Prec@5 74.219 (74.649)
Epoch: [33][13770/14090]	Time 0.755 (0.770)	Data 0.001 (0.001)	Loss 2.3706 (2.2315)	Prec@1 44.531 (44.046)	Prec@5 74.219 (74.650)
Epoch: [33][13780/14090]	Time 0.780 (0.770)	Data 0.001 (0.001)	Loss 2.2868 (2.2316)	Prec@1 46.875 (44.046)	Prec@5 76.562 (74.650)
Epoch: [33][13790/14090]	Time 0.756 (0.770)	Data 0.001 (0.001)	Loss 2.1705 (2.2316)	Prec@1 44.531 (44.048)	Prec@5 78.906 (74.650)
Epoch: [33][13800/14090]	Time 0.760 (0.770)	Data 0.001 (0.001)	Loss 2.1857 (2.2316)	Prec@1 44.531 (44.047)	Prec@5 73.438 (74.649)
Epoch: [33][13810/14090]	Time 0.914 (0.770)	Data 0.001 (0.001)	Loss 2.2771 (2.2316)	Prec@1 39.844 (44.046)	Prec@5 71.875 (74.648)
Epoch: [33][13820/14090]	Time 0.808 (0.770)	Data 0.001 (0.001)	Loss 2.3625 (2.2317)	Prec@1 44.531 (44.046)	Prec@5 71.875 (74.647)
Epoch: [33][13830/14090]	Time 0.763 (0.770)	Data 0.001 (0.001)	Loss 2.4538 (2.2318)	Prec@1 39.062 (44.044)	Prec@5 75.781 (74.646)
Epoch: [33][13840/14090]	Time 0.759 (0.770)	Data 0.001 (0.001)	Loss 2.4089 (2.2318)	Prec@1 35.156 (44.043)	Prec@5 71.094 (74.645)
Epoch: [33][13850/14090]	Time 0.748 (0.770)	Data 0.001 (0.001)	Loss 2.2978 (2.2318)	Prec@1 45.312 (44.042)	Prec@5 75.000 (74.645)
Epoch: [33][13860/14090]	Time 0.754 (0.770)	Data 0.001 (0.001)	Loss 2.1262 (2.2318)	Prec@1 47.656 (44.043)	Prec@5 75.781 (74.646)
Epoch: [33][13870/14090]	Time 0.728 (0.770)	Data 0.001 (0.001)	Loss 2.2205 (2.2317)	Prec@1 37.500 (44.044)	Prec@5 75.781 (74.647)
Epoch: [33][13880/14090]	Time 0.870 (0.770)	Data 0.001 (0.001)	Loss 2.2145 (2.2318)	Prec@1 50.781 (44.045)	Prec@5 75.781 (74.647)
Epoch: [33][13890/14090]	Time 0.755 (0.770)	Data 0.001 (0.001)	Loss 2.0548 (2.2318)	Prec@1 50.781 (44.045)	Prec@5 83.594 (74.647)
Epoch: [33][13900/14090]	Time 0.760 (0.770)	Data 0.001 (0.001)	Loss 2.3667 (2.2318)	Prec@1 48.438 (44.044)	Prec@5 69.531 (74.646)
Epoch: [33][13910/14090]	Time 0.750 (0.770)	Data 0.001 (0.001)	Loss 2.2015 (2.2318)	Prec@1 45.312 (44.043)	Prec@5 82.031 (74.647)
Epoch: [33][13920/14090]	Time 0.778 (0.770)	Data 0.001 (0.001)	Loss 2.2761 (2.2318)	Prec@1 35.156 (44.042)	Prec@5 71.094 (74.646)
Epoch: [33][13930/14090]	Time 0.725 (0.770)	Data 0.001 (0.001)	Loss 2.0410 (2.2318)	Prec@1 46.094 (44.043)	Prec@5 81.250 (74.647)
Epoch: [33][13940/14090]	Time 0.746 (0.770)	Data 0.001 (0.001)	Loss 2.2374 (2.2318)	Prec@1 43.750 (44.044)	Prec@5 77.344 (74.648)
Epoch: [33][13950/14090]	Time 0.896 (0.770)	Data 0.001 (0.001)	Loss 2.0960 (2.2318)	Prec@1 41.406 (44.044)	Prec@5 77.344 (74.648)
Epoch: [33][13960/14090]	Time 0.750 (0.770)	Data 0.001 (0.001)	Loss 2.1192 (2.2318)	Prec@1 46.094 (44.045)	Prec@5 72.656 (74.648)
Epoch: [33][13970/14090]	Time 0.740 (0.770)	Data 0.001 (0.001)	Loss 2.3025 (2.2317)	Prec@1 42.188 (44.047)	Prec@5 76.562 (74.649)
Epoch: [33][13980/14090]	Time 0.720 (0.770)	Data 0.001 (0.001)	Loss 2.1654 (2.2317)	Prec@1 47.656 (44.046)	Prec@5 77.344 (74.649)
Epoch: [33][13990/14090]	Time 0.764 (0.770)	Data 0.001 (0.001)	Loss 2.0912 (2.2317)	Prec@1 46.094 (44.047)	Prec@5 77.344 (74.649)
Epoch: [33][14000/14090]	Time 0.753 (0.770)	Data 0.001 (0.001)	Loss 2.3651 (2.2317)	Prec@1 41.406 (44.048)	Prec@5 75.000 (74.649)
Epoch: [33][14010/14090]	Time 0.763 (0.770)	Data 0.001 (0.001)	Loss 2.2900 (2.2316)	Prec@1 39.844 (44.049)	Prec@5 75.000 (74.650)
Epoch: [33][14020/14090]	Time 0.874 (0.770)	Data 0.001 (0.001)	Loss 2.6281 (2.2316)	Prec@1 36.719 (44.051)	Prec@5 64.844 (74.651)
Epoch: [33][14030/14090]	Time 0.752 (0.770)	Data 0.001 (0.001)	Loss 2.4156 (2.2316)	Prec@1 42.969 (44.051)	Prec@5 70.312 (74.651)
Epoch: [33][14040/14090]	Time 0.746 (0.770)	Data 0.001 (0.001)	Loss 2.1765 (2.2316)	Prec@1 46.875 (44.051)	Prec@5 75.000 (74.651)
Epoch: [33][14050/14090]	Time 0.756 (0.770)	Data 0.001 (0.001)	Loss 1.9569 (2.2316)	Prec@1 50.000 (44.050)	Prec@5 78.125 (74.652)
Epoch: [33][14060/14090]	Time 0.758 (0.770)	Data 0.001 (0.001)	Loss 2.2763 (2.2316)	Prec@1 39.062 (44.049)	Prec@5 76.562 (74.653)
Epoch: [33][14070/14090]	Time 0.749 (0.770)	Data 0.001 (0.001)	Loss 2.3489 (2.2315)	Prec@1 42.969 (44.050)	Prec@5 75.781 (74.654)
Epoch: [33][14080/14090]	Time 0.723 (0.770)	Data 0.000 (0.001)	Loss 2.2209 (2.2315)	Prec@1 39.062 (44.051)	Prec@5 78.125 (74.655)
Test: [0/286]	Time 4.539 (4.539)	Loss 1.6282 (1.6282)	Prec@1 52.344 (52.344)	Prec@5 91.406 (91.406)
Test: [10/286]	Time 0.491 (0.733)	Loss 2.1225 (1.9558)	Prec@1 40.625 (50.213)	Prec@5 79.688 (81.818)
Test: [20/286]	Time 0.228 (0.540)	Loss 2.2640 (1.9315)	Prec@1 40.625 (49.740)	Prec@5 78.125 (82.143)
Test: [30/286]	Time 0.236 (0.474)	Loss 1.7817 (1.8589)	Prec@1 59.375 (52.016)	Prec@5 83.594 (82.510)
Test: [40/286]	Time 1.002 (0.461)	Loss 1.7935 (1.8609)	Prec@1 48.438 (51.791)	Prec@5 84.375 (82.736)
Test: [50/286]	Time 0.235 (0.442)	Loss 0.5874 (1.8503)	Prec@1 87.500 (51.762)	Prec@5 94.531 (82.858)
Test: [60/286]	Time 0.236 (0.422)	Loss 2.8372 (1.8920)	Prec@1 33.594 (50.922)	Prec@5 63.281 (81.455)
Test: [70/286]	Time 0.232 (0.408)	Loss 1.1431 (1.8703)	Prec@1 73.438 (51.496)	Prec@5 90.625 (81.745)
Test: [80/286]	Time 1.047 (0.409)	Loss 1.9423 (1.9028)	Prec@1 42.969 (50.241)	Prec@5 81.250 (81.298)
Test: [90/286]	Time 0.235 (0.403)	Loss 2.2421 (1.9175)	Prec@1 40.625 (49.863)	Prec@5 83.594 (81.130)
Test: [100/286]	Time 0.256 (0.398)	Loss 2.0769 (1.9279)	Prec@1 36.719 (49.366)	Prec@5 83.594 (81.327)
Test: [110/286]	Time 0.240 (0.392)	Loss 2.4151 (1.9265)	Prec@1 35.156 (49.240)	Prec@5 75.781 (81.560)
Test: [120/286]	Time 0.870 (0.393)	Loss 1.7799 (1.9038)	Prec@1 57.031 (50.000)	Prec@5 77.344 (81.850)
Test: [130/286]	Time 0.237 (0.391)	Loss 1.1012 (1.8929)	Prec@1 67.969 (50.280)	Prec@5 95.312 (81.966)
Test: [140/286]	Time 0.250 (0.387)	Loss 2.5637 (1.8909)	Prec@1 42.188 (50.332)	Prec@5 68.750 (81.926)
Test: [150/286]	Time 0.230 (0.384)	Loss 2.4307 (1.9049)	Prec@1 31.250 (49.850)	Prec@5 78.906 (81.773)
Test: [160/286]	Time 0.284 (0.386)	Loss 2.5948 (1.9001)	Prec@1 31.250 (50.010)	Prec@5 71.094 (81.852)
Test: [170/286]	Time 0.261 (0.384)	Loss 1.6145 (1.8909)	Prec@1 54.688 (50.114)	Prec@5 84.375 (82.022)
Test: [180/286]	Time 0.293 (0.383)	Loss 2.1022 (1.9034)	Prec@1 52.344 (49.888)	Prec@5 76.562 (81.867)
Test: [190/286]	Time 0.242 (0.381)	Loss 2.7641 (1.9176)	Prec@1 17.969 (49.546)	Prec@5 78.125 (81.798)
Test: [200/286]	Time 0.350 (0.384)	Loss 1.9116 (1.9124)	Prec@1 53.906 (49.712)	Prec@5 87.500 (81.845)
Test: [210/286]	Time 0.235 (0.382)	Loss 2.5998 (1.9235)	Prec@1 33.594 (49.367)	Prec@5 74.219 (81.709)
Test: [220/286]	Time 0.270 (0.380)	Loss 3.4335 (1.9335)	Prec@1 17.188 (49.265)	Prec@5 55.469 (81.437)
Test: [230/286]	Time 0.227 (0.378)	Loss 1.4439 (1.9342)	Prec@1 64.062 (49.347)	Prec@5 80.469 (81.328)
Test: [240/286]	Time 0.347 (0.380)	Loss 1.9460 (1.9307)	Prec@1 54.688 (49.527)	Prec@5 77.344 (81.350)
Test: [250/286]	Time 0.232 (0.379)	Loss 1.6878 (1.9205)	Prec@1 52.344 (49.655)	Prec@5 84.375 (81.583)
Test: [260/286]	Time 0.230 (0.377)	Loss 1.4457 (1.9117)	Prec@1 64.844 (49.931)	Prec@5 90.625 (81.693)
Test: [270/286]	Time 0.228 (0.376)	Loss 1.6061 (1.9160)	Prec@1 63.281 (49.928)	Prec@5 87.500 (81.599)
Test: [280/286]	Time 0.229 (0.378)	Loss 1.7433 (1.8976)	Prec@1 50.000 (50.475)	Prec@5 86.719 (81.789)
 * Prec@1 50.613 Prec@5 81.814
Epoch: [34][0/14090]	Time 5.424 (5.424)	Data 4.635 (4.635)	Loss 2.0758 (2.0758)	Prec@1 48.438 (48.438)	Prec@5 74.219 (74.219)
Epoch: [34][10/14090]	Time 0.726 (1.170)	Data 0.001 (0.422)	Loss 1.9945 (2.1810)	Prec@1 53.906 (46.449)	Prec@5 80.469 (74.858)
Epoch: [34][20/14090]	Time 0.748 (0.972)	Data 0.001 (0.222)	Loss 2.0395 (2.1648)	Prec@1 44.531 (45.833)	Prec@5 78.125 (75.335)
Epoch: [34][30/14090]	Time 0.759 (0.904)	Data 0.001 (0.150)	Loss 2.3531 (2.1842)	Prec@1 46.875 (45.842)	Prec@5 71.875 (75.151)
Epoch: [34][40/14090]	Time 0.752 (0.872)	Data 0.001 (0.114)	Loss 2.1004 (2.1975)	Prec@1 41.406 (45.122)	Prec@5 80.469 (75.191)
Epoch: [34][50/14090]	Time 0.774 (0.852)	Data 0.001 (0.092)	Loss 2.3766 (2.2015)	Prec@1 41.406 (44.792)	Prec@5 71.875 (75.138)
Epoch: [34][60/14090]	Time 0.892 (0.840)	Data 0.001 (0.077)	Loss 2.3827 (2.2034)	Prec@1 44.531 (45.044)	Prec@5 74.219 (75.333)
Epoch: [34][70/14090]	Time 0.778 (0.828)	Data 0.001 (0.066)	Loss 2.3438 (2.2136)	Prec@1 41.406 (44.861)	Prec@5 75.781 (75.121)
Epoch: [34][80/14090]	Time 0.725 (0.820)	Data 0.001 (0.058)	Loss 2.1375 (2.2121)	Prec@1 46.094 (44.898)	Prec@5 75.000 (75.010)
Epoch: [34][90/14090]	Time 0.742 (0.816)	Data 0.001 (0.052)	Loss 1.9578 (2.2083)	Prec@1 49.219 (44.943)	Prec@5 82.031 (75.094)
Epoch: [34][100/14090]	Time 0.769 (0.811)	Data 0.001 (0.047)	Loss 2.1893 (2.2028)	Prec@1 46.875 (45.050)	Prec@5 74.219 (75.054)
Epoch: [34][110/14090]	Time 0.733 (0.808)	Data 0.001 (0.043)	Loss 2.1642 (2.1987)	Prec@1 46.875 (45.038)	Prec@5 78.906 (75.232)
Epoch: [34][120/14090]	Time 0.735 (0.805)	Data 0.001 (0.039)	Loss 2.2060 (2.2013)	Prec@1 44.531 (44.841)	Prec@5 71.094 (75.129)
Epoch: [34][130/14090]	Time 0.897 (0.802)	Data 0.001 (0.036)	Loss 2.2590 (2.2095)	Prec@1 45.312 (44.698)	Prec@5 71.094 (75.012)
Epoch: [34][140/14090]	Time 0.760 (0.800)	Data 0.001 (0.034)	Loss 2.0290 (2.2120)	Prec@1 51.562 (44.614)	Prec@5 77.344 (74.994)
Epoch: [34][150/14090]	Time 0.731 (0.798)	Data 0.001 (0.032)	Loss 2.1234 (2.2099)	Prec@1 43.750 (44.635)	Prec@5 78.125 (75.062)
Epoch: [34][160/14090]	Time 0.771 (0.797)	Data 0.001 (0.030)	Loss 2.2206 (2.2138)	Prec@1 43.750 (44.589)	Prec@5 78.906 (74.966)
Epoch: [34][170/14090]	Time 0.737 (0.795)	Data 0.001 (0.028)	Loss 2.3485 (2.2166)	Prec@1 41.406 (44.513)	Prec@5 69.531 (74.822)
Epoch: [34][180/14090]	Time 0.749 (0.794)	Data 0.001 (0.027)	Loss 2.3240 (2.2168)	Prec@1 43.750 (44.505)	Prec@5 72.656 (74.793)
Epoch: [34][190/14090]	Time 0.743 (0.792)	Data 0.001 (0.025)	Loss 2.1424 (2.2198)	Prec@1 40.625 (44.466)	Prec@5 81.250 (74.787)
Epoch: [34][200/14090]	Time 0.923 (0.792)	Data 0.001 (0.024)	Loss 2.1968 (2.2163)	Prec@1 44.531 (44.523)	Prec@5 73.438 (74.848)
Epoch: [34][210/14090]	Time 0.748 (0.790)	Data 0.001 (0.023)	Loss 2.1224 (2.2135)	Prec@1 42.969 (44.653)	Prec@5 78.125 (74.852)
Epoch: [34][220/14090]	Time 0.739 (0.789)	Data 0.001 (0.022)	Loss 2.3490 (2.2137)	Prec@1 46.875 (44.648)	Prec@5 72.656 (74.802)
Epoch: [34][230/14090]	Time 0.735 (0.789)	Data 0.001 (0.021)	Loss 2.1165 (2.2171)	Prec@1 46.094 (44.602)	Prec@5 78.125 (74.770)
Epoch: [34][240/14090]	Time 0.750 (0.788)	Data 0.001 (0.020)	Loss 2.0729 (2.2174)	Prec@1 42.969 (44.606)	Prec@5 76.562 (74.812)
Epoch: [34][250/14090]	Time 0.755 (0.787)	Data 0.001 (0.019)	Loss 2.0393 (2.2195)	Prec@1 50.781 (44.584)	Prec@5 78.906 (74.754)
Epoch: [34][260/14090]	Time 0.755 (0.786)	Data 0.001 (0.019)	Loss 2.2614 (2.2162)	Prec@1 42.188 (44.600)	Prec@5 75.000 (74.823)
Epoch: [34][270/14090]	Time 0.900 (0.786)	Data 0.002 (0.018)	Loss 2.2777 (2.2152)	Prec@1 39.062 (44.574)	Prec@5 76.562 (74.847)
Epoch: [34][280/14090]	Time 0.740 (0.785)	Data 0.001 (0.017)	Loss 2.0906 (2.2153)	Prec@1 47.656 (44.545)	Prec@5 75.781 (74.836)
Epoch: [34][290/14090]	Time 0.757 (0.785)	Data 0.002 (0.017)	Loss 2.2600 (2.2139)	Prec@1 42.188 (44.550)	Prec@5 71.875 (74.842)
Epoch: [34][300/14090]	Time 0.777 (0.785)	Data 0.001 (0.016)	Loss 2.4933 (2.2136)	Prec@1 36.719 (44.529)	Prec@5 65.625 (74.836)
Epoch: [34][310/14090]	Time 0.744 (0.784)	Data 0.001 (0.016)	Loss 2.3218 (2.2140)	Prec@1 42.969 (44.559)	Prec@5 72.656 (74.829)
Epoch: [34][320/14090]	Time 0.743 (0.784)	Data 0.001 (0.015)	Loss 2.3512 (2.2128)	Prec@1 42.969 (44.509)	Prec@5 75.781 (74.900)
Epoch: [34][330/14090]	Time 0.741 (0.783)	Data 0.001 (0.015)	Loss 2.0534 (2.2100)	Prec@1 47.656 (44.534)	Prec@5 78.125 (74.974)
Epoch: [34][340/14090]	Time 0.866 (0.783)	Data 0.001 (0.014)	Loss 2.2884 (2.2108)	Prec@1 45.312 (44.515)	Prec@5 71.094 (74.936)
Epoch: [34][350/14090]	Time 0.750 (0.782)	Data 0.001 (0.014)	Loss 2.0974 (2.2101)	Prec@1 46.875 (44.540)	Prec@5 82.812 (74.947)
Epoch: [34][360/14090]	Time 0.782 (0.782)	Data 0.001 (0.014)	Loss 2.5892 (2.2114)	Prec@1 32.812 (44.529)	Prec@5 67.188 (74.903)
Epoch: [34][370/14090]	Time 0.741 (0.782)	Data 0.001 (0.013)	Loss 2.1079 (2.2095)	Prec@1 43.750 (44.504)	Prec@5 80.469 (74.956)
Epoch: [34][380/14090]	Time 0.736 (0.781)	Data 0.001 (0.013)	Loss 1.9934 (2.2099)	Prec@1 42.969 (44.484)	Prec@5 77.344 (74.934)
Epoch: [34][390/14090]	Time 0.729 (0.781)	Data 0.001 (0.013)	Loss 2.3317 (2.2125)	Prec@1 35.156 (44.391)	Prec@5 71.094 (74.860)
Epoch: [34][400/14090]	Time 0.774 (0.781)	Data 0.001 (0.012)	Loss 2.1960 (2.2116)	Prec@1 46.094 (44.410)	Prec@5 73.438 (74.862)
Epoch: [34][410/14090]	Time 0.923 (0.781)	Data 0.001 (0.012)	Loss 2.1106 (2.2108)	Prec@1 52.344 (44.404)	Prec@5 81.250 (74.911)
Epoch: [34][420/14090]	Time 0.742 (0.781)	Data 0.001 (0.012)	Loss 2.1491 (2.2100)	Prec@1 46.875 (44.429)	Prec@5 69.531 (74.905)
Epoch: [34][430/14090]	Time 0.758 (0.780)	Data 0.001 (0.012)	Loss 1.9652 (2.2103)	Prec@1 46.875 (44.430)	Prec@5 79.688 (74.898)
Epoch: [34][440/14090]	Time 0.739 (0.780)	Data 0.001 (0.011)	Loss 2.4005 (2.2096)	Prec@1 39.844 (44.444)	Prec@5 73.438 (74.943)
Epoch: [34][450/14090]	Time 0.759 (0.780)	Data 0.001 (0.011)	Loss 2.1254 (2.2090)	Prec@1 40.625 (44.443)	Prec@5 72.656 (74.967)
Epoch: [34][460/14090]	Time 0.741 (0.780)	Data 0.001 (0.011)	Loss 2.3802 (2.2081)	Prec@1 37.500 (44.460)	Prec@5 71.875 (74.983)
Epoch: [34][470/14090]	Time 0.751 (0.780)	Data 0.001 (0.011)	Loss 2.4266 (2.2095)	Prec@1 41.406 (44.427)	Prec@5 69.531 (74.980)
Epoch: [34][480/14090]	Time 0.876 (0.779)	Data 0.001 (0.011)	Loss 2.0462 (2.2095)	Prec@1 46.094 (44.434)	Prec@5 78.906 (74.990)
Epoch: [34][490/14090]	Time 0.748 (0.779)	Data 0.001 (0.010)	Loss 2.2227 (2.2112)	Prec@1 47.656 (44.428)	Prec@5 74.219 (74.973)
Epoch: [34][500/14090]	Time 0.775 (0.779)	Data 0.001 (0.010)	Loss 2.2331 (2.2106)	Prec@1 42.969 (44.436)	Prec@5 73.438 (74.995)
Epoch: [34][510/14090]	Time 0.755 (0.779)	Data 0.001 (0.010)	Loss 2.4210 (2.2118)	Prec@1 41.406 (44.415)	Prec@5 70.312 (74.956)
Epoch: [34][520/14090]	Time 0.752 (0.779)	Data 0.001 (0.010)	Loss 2.1544 (2.2126)	Prec@1 46.875 (44.387)	Prec@5 75.000 (74.942)
Epoch: [34][530/14090]	Time 0.750 (0.779)	Data 0.001 (0.010)	Loss 2.1915 (2.2135)	Prec@1 39.844 (44.371)	Prec@5 75.781 (74.937)
Epoch: [34][540/14090]	Time 0.720 (0.779)	Data 0.001 (0.009)	Loss 2.2702 (2.2140)	Prec@1 41.406 (44.367)	Prec@5 78.125 (74.945)
Epoch: [34][550/14090]	Time 0.904 (0.779)	Data 0.001 (0.009)	Loss 1.9377 (2.2141)	Prec@1 50.781 (44.341)	Prec@5 78.125 (74.943)
Epoch: [34][560/14090]	Time 0.777 (0.779)	Data 0.001 (0.009)	Loss 2.6933 (2.2161)	Prec@1 30.469 (44.306)	Prec@5 69.531 (74.916)
Epoch: [34][570/14090]	Time 0.765 (0.778)	Data 0.001 (0.009)	Loss 2.2219 (2.2150)	Prec@1 44.531 (44.333)	Prec@5 73.438 (74.915)
Epoch: [34][580/14090]	Time 0.737 (0.778)	Data 0.001 (0.009)	Loss 2.2903 (2.2142)	Prec@1 46.094 (44.374)	Prec@5 70.312 (74.918)
Epoch: [34][590/14090]	Time 0.725 (0.778)	Data 0.001 (0.009)	Loss 2.0829 (2.2137)	Prec@1 42.969 (44.375)	Prec@5 79.688 (74.929)
Epoch: [34][600/14090]	Time 0.723 (0.778)	Data 0.001 (0.009)	Loss 2.2047 (2.2142)	Prec@1 44.531 (44.390)	Prec@5 74.219 (74.904)
Epoch: [34][610/14090]	Time 0.745 (0.778)	Data 0.001 (0.008)	Loss 2.3349 (2.2151)	Prec@1 42.188 (44.394)	Prec@5 71.094 (74.893)
Epoch: [34][620/14090]	Time 0.915 (0.778)	Data 0.001 (0.008)	Loss 1.9390 (2.2151)	Prec@1 51.562 (44.409)	Prec@5 78.125 (74.908)
Epoch: [34][630/14090]	Time 0.764 (0.777)	Data 0.001 (0.008)	Loss 2.2863 (2.2149)	Prec@1 44.531 (44.437)	Prec@5 74.219 (74.901)
Epoch: [34][640/14090]	Time 0.755 (0.777)	Data 0.001 (0.008)	Loss 2.2603 (2.2138)	Prec@1 46.875 (44.452)	Prec@5 75.000 (74.913)
Epoch: [34][650/14090]	Time 0.751 (0.777)	Data 0.001 (0.008)	Loss 2.4029 (2.2148)	Prec@1 41.406 (44.422)	Prec@5 70.312 (74.873)
Epoch: [34][660/14090]	Time 0.739 (0.777)	Data 0.003 (0.008)	Loss 1.8526 (2.2147)	Prec@1 54.688 (44.424)	Prec@5 79.688 (74.856)
Epoch: [34][670/14090]	Time 0.733 (0.777)	Data 0.002 (0.008)	Loss 2.2317 (2.2143)	Prec@1 46.875 (44.430)	Prec@5 69.531 (74.857)
Epoch: [34][680/14090]	Time 0.733 (0.777)	Data 0.001 (0.008)	Loss 2.1065 (2.2149)	Prec@1 45.312 (44.405)	Prec@5 78.125 (74.836)
Epoch: [34][690/14090]	Time 0.877 (0.777)	Data 0.001 (0.008)	Loss 1.9233 (2.2150)	Prec@1 50.781 (44.385)	Prec@5 80.469 (74.854)
Epoch: [34][700/14090]	Time 0.748 (0.776)	Data 0.001 (0.008)	Loss 2.1884 (2.2151)	Prec@1 48.438 (44.379)	Prec@5 75.000 (74.857)
Epoch: [34][710/14090]	Time 0.753 (0.776)	Data 0.001 (0.007)	Loss 2.1491 (2.2155)	Prec@1 50.781 (44.354)	Prec@5 74.219 (74.848)
Epoch: [34][720/14090]	Time 0.768 (0.776)	Data 0.001 (0.007)	Loss 2.1384 (2.2158)	Prec@1 43.750 (44.336)	Prec@5 77.344 (74.834)
Epoch: [34][730/14090]	Time 0.749 (0.776)	Data 0.001 (0.007)	Loss 2.1264 (2.2151)	Prec@1 50.000 (44.348)	Prec@5 77.344 (74.851)
Epoch: [34][740/14090]	Time 0.776 (0.776)	Data 0.001 (0.007)	Loss 2.1458 (2.2161)	Prec@1 43.750 (44.322)	Prec@5 78.906 (74.834)
Epoch: [34][750/14090]	Time 0.754 (0.776)	Data 0.002 (0.007)	Loss 2.4841 (2.2177)	Prec@1 32.031 (44.256)	Prec@5 75.781 (74.813)
Epoch: [34][760/14090]	Time 0.883 (0.776)	Data 0.001 (0.007)	Loss 2.4372 (2.2175)	Prec@1 43.750 (44.281)	Prec@5 69.531 (74.807)
Epoch: [34][770/14090]	Time 0.725 (0.776)	Data 0.001 (0.007)	Loss 2.2913 (2.2183)	Prec@1 39.062 (44.265)	Prec@5 72.656 (74.793)
Epoch: [34][780/14090]	Time 0.742 (0.776)	Data 0.001 (0.007)	Loss 2.5710 (2.2183)	Prec@1 36.719 (44.258)	Prec@5 72.656 (74.806)
Epoch: [34][790/14090]	Time 0.752 (0.776)	Data 0.001 (0.007)	Loss 2.0463 (2.2173)	Prec@1 47.656 (44.271)	Prec@5 78.125 (74.827)
Epoch: [34][800/14090]	Time 0.756 (0.775)	Data 0.001 (0.007)	Loss 2.4177 (2.2182)	Prec@1 38.281 (44.228)	Prec@5 68.750 (74.806)
Epoch: [34][810/14090]	Time 0.734 (0.775)	Data 0.001 (0.007)	Loss 2.1211 (2.2186)	Prec@1 48.438 (44.225)	Prec@5 78.125 (74.811)
Epoch: [34][820/14090]	Time 0.721 (0.775)	Data 0.001 (0.007)	Loss 2.0112 (2.2194)	Prec@1 43.750 (44.191)	Prec@5 77.344 (74.802)
Epoch: [34][830/14090]	Time 0.897 (0.775)	Data 0.001 (0.006)	Loss 2.1738 (2.2193)	Prec@1 39.844 (44.181)	Prec@5 74.219 (74.812)
Epoch: [34][840/14090]	Time 0.744 (0.775)	Data 0.002 (0.006)	Loss 2.0829 (2.2198)	Prec@1 47.656 (44.150)	Prec@5 76.562 (74.805)
Epoch: [34][850/14090]	Time 0.749 (0.775)	Data 0.001 (0.006)	Loss 2.2952 (2.2197)	Prec@1 46.094 (44.148)	Prec@5 73.438 (74.804)
Epoch: [34][860/14090]	Time 0.740 (0.775)	Data 0.001 (0.006)	Loss 2.4523 (2.2200)	Prec@1 35.156 (44.136)	Prec@5 67.969 (74.793)
Epoch: [34][870/14090]	Time 0.761 (0.775)	Data 0.001 (0.006)	Loss 2.2537 (2.2196)	Prec@1 43.750 (44.141)	Prec@5 77.344 (74.797)
Epoch: [34][880/14090]	Time 0.757 (0.775)	Data 0.001 (0.006)	Loss 2.5648 (2.2207)	Prec@1 39.844 (44.114)	Prec@5 75.000 (74.786)
Epoch: [34][890/14090]	Time 0.731 (0.775)	Data 0.001 (0.006)	Loss 1.7974 (2.2208)	Prec@1 52.344 (44.117)	Prec@5 81.250 (74.797)
Epoch: [34][900/14090]	Time 0.890 (0.775)	Data 0.001 (0.006)	Loss 2.2591 (2.2207)	Prec@1 41.406 (44.108)	Prec@5 71.094 (74.798)
Epoch: [34][910/14090]	Time 0.753 (0.775)	Data 0.001 (0.006)	Loss 2.2438 (2.2212)	Prec@1 46.875 (44.096)	Prec@5 71.094 (74.782)
Epoch: [34][920/14090]	Time 0.775 (0.774)	Data 0.001 (0.006)	Loss 2.2315 (2.2207)	Prec@1 48.438 (44.133)	Prec@5 71.875 (74.789)
Epoch: [34][930/14090]	Time 0.745 (0.774)	Data 0.005 (0.006)	Loss 2.3213 (2.2204)	Prec@1 40.625 (44.128)	Prec@5 73.438 (74.791)
Epoch: [34][940/14090]	Time 0.766 (0.774)	Data 0.001 (0.006)	Loss 2.1411 (2.2205)	Prec@1 41.406 (44.110)	Prec@5 77.344 (74.797)
Epoch: [34][950/14090]	Time 0.755 (0.774)	Data 0.001 (0.006)	Loss 2.0708 (2.2206)	Prec@1 44.531 (44.101)	Prec@5 77.344 (74.796)
Epoch: [34][960/14090]	Time 0.751 (0.774)	Data 0.001 (0.006)	Loss 2.3333 (2.2213)	Prec@1 40.625 (44.090)	Prec@5 74.219 (74.791)
Epoch: [34][970/14090]	Time 0.847 (0.774)	Data 0.001 (0.006)	Loss 2.3686 (2.2212)	Prec@1 39.844 (44.088)	Prec@5 75.000 (74.794)
Epoch: [34][980/14090]	Time 0.728 (0.774)	Data 0.001 (0.006)	Loss 2.0696 (2.2215)	Prec@1 48.438 (44.088)	Prec@5 78.125 (74.779)
Epoch: [34][990/14090]	Time 0.732 (0.774)	Data 0.001 (0.006)	Loss 1.9901 (2.2216)	Prec@1 47.656 (44.081)	Prec@5 79.688 (74.775)
Epoch: [34][1000/14090]	Time 0.736 (0.774)	Data 0.001 (0.006)	Loss 2.2937 (2.2215)	Prec@1 35.156 (44.063)	Prec@5 75.000 (74.776)
Epoch: [34][1010/14090]	Time 0.756 (0.774)	Data 0.001 (0.005)	Loss 2.0980 (2.2214)	Prec@1 46.094 (44.061)	Prec@5 73.438 (74.767)
Epoch: [34][1020/14090]	Time 0.750 (0.774)	Data 0.001 (0.005)	Loss 2.4542 (2.2208)	Prec@1 35.156 (44.077)	Prec@5 71.094 (74.781)
Epoch: [34][1030/14090]	Time 0.766 (0.774)	Data 0.001 (0.005)	Loss 2.5132 (2.2215)	Prec@1 35.938 (44.049)	Prec@5 68.750 (74.785)
Epoch: [34][1040/14090]	Time 0.883 (0.774)	Data 0.001 (0.005)	Loss 1.9949 (2.2213)	Prec@1 45.312 (44.040)	Prec@5 80.469 (74.790)
Epoch: [34][1050/14090]	Time 0.745 (0.774)	Data 0.001 (0.005)	Loss 2.2822 (2.2211)	Prec@1 42.188 (44.046)	Prec@5 74.219 (74.799)
Epoch: [34][1060/14090]	Time 0.754 (0.774)	Data 0.001 (0.005)	Loss 2.4686 (2.2218)	Prec@1 35.156 (44.033)	Prec@5 76.562 (74.801)
Epoch: [34][1070/14090]	Time 0.757 (0.774)	Data 0.001 (0.005)	Loss 2.4428 (2.2207)	Prec@1 40.625 (44.051)	Prec@5 68.750 (74.821)
Epoch: [34][1080/14090]	Time 0.750 (0.774)	Data 0.001 (0.005)	Loss 2.1964 (2.2218)	Prec@1 46.094 (44.024)	Prec@5 76.562 (74.805)
Epoch: [34][1090/14090]	Time 0.758 (0.774)	Data 0.001 (0.005)	Loss 2.2186 (2.2220)	Prec@1 42.969 (44.025)	Prec@5 74.219 (74.806)
Epoch: [34][1100/14090]	Time 0.775 (0.774)	Data 0.001 (0.005)	Loss 2.4328 (2.2220)	Prec@1 38.281 (44.025)	Prec@5 67.969 (74.806)
Epoch: [34][1110/14090]	Time 0.887 (0.774)	Data 0.001 (0.005)	Loss 2.5755 (2.2220)	Prec@1 39.844 (44.024)	Prec@5 66.406 (74.808)
Epoch: [34][1120/14090]	Time 0.749 (0.774)	Data 0.001 (0.005)	Loss 2.2388 (2.2228)	Prec@1 51.562 (44.004)	Prec@5 71.094 (74.798)
Epoch: [34][1130/14090]	Time 0.759 (0.774)	Data 0.001 (0.005)	Loss 2.2794 (2.2225)	Prec@1 39.844 (44.001)	Prec@5 73.438 (74.811)
Epoch: [34][1140/14090]	Time 0.742 (0.774)	Data 0.001 (0.005)	Loss 2.0635 (2.2217)	Prec@1 46.875 (44.008)	Prec@5 75.781 (74.824)
Epoch: [34][1150/14090]	Time 0.761 (0.774)	Data 0.002 (0.005)	Loss 2.4992 (2.2226)	Prec@1 43.750 (43.995)	Prec@5 71.094 (74.807)
Epoch: [34][1160/14090]	Time 0.757 (0.774)	Data 0.001 (0.005)	Loss 2.1169 (2.2232)	Prec@1 42.188 (43.985)	Prec@5 79.688 (74.801)
Epoch: [34][1170/14090]	Time 0.732 (0.773)	Data 0.001 (0.005)	Loss 2.4150 (2.2237)	Prec@1 37.500 (43.977)	Prec@5 69.531 (74.790)
Epoch: [34][1180/14090]	Time 0.874 (0.773)	Data 0.001 (0.005)	Loss 2.0866 (2.2237)	Prec@1 46.094 (43.974)	Prec@5 75.000 (74.796)
Epoch: [34][1190/14090]	Time 0.733 (0.773)	Data 0.001 (0.005)	Loss 2.2856 (2.2242)	Prec@1 41.406 (43.966)	Prec@5 71.875 (74.788)
Epoch: [34][1200/14090]	Time 0.763 (0.773)	Data 0.001 (0.005)	Loss 1.8267 (2.2233)	Prec@1 54.688 (43.993)	Prec@5 79.688 (74.807)
Epoch: [34][1210/14090]	Time 0.762 (0.773)	Data 0.001 (0.005)	Loss 2.4475 (2.2237)	Prec@1 42.969 (44.004)	Prec@5 67.969 (74.794)
Epoch: [34][1220/14090]	Time 0.740 (0.773)	Data 0.002 (0.005)	Loss 2.0479 (2.2233)	Prec@1 47.656 (44.016)	Prec@5 74.219 (74.798)
Epoch: [34][1230/14090]	Time 0.753 (0.773)	Data 0.001 (0.005)	Loss 2.1970 (2.2234)	Prec@1 44.531 (44.014)	Prec@5 74.219 (74.806)
Epoch: [34][1240/14090]	Time 0.740 (0.773)	Data 0.001 (0.005)	Loss 1.9382 (2.2231)	Prec@1 51.562 (44.014)	Prec@5 78.906 (74.823)
Epoch: [34][1250/14090]	Time 0.905 (0.773)	Data 0.001 (0.005)	Loss 2.0359 (2.2229)	Prec@1 50.781 (44.021)	Prec@5 75.781 (74.826)
Epoch: [34][1260/14090]	Time 0.746 (0.773)	Data 0.001 (0.005)	Loss 1.9679 (2.2228)	Prec@1 49.219 (44.025)	Prec@5 77.344 (74.825)
Epoch: [34][1270/14090]	Time 0.737 (0.773)	Data 0.001 (0.005)	Loss 2.1618 (2.2234)	Prec@1 48.438 (44.023)	Prec@5 71.875 (74.808)
Epoch: [34][1280/14090]	Time 0.742 (0.773)	Data 0.001 (0.005)	Loss 2.2887 (2.2234)	Prec@1 38.281 (44.016)	Prec@5 71.875 (74.808)
Epoch: [34][1290/14090]	Time 0.764 (0.773)	Data 0.001 (0.004)	Loss 2.0401 (2.2236)	Prec@1 45.312 (44.013)	Prec@5 77.344 (74.800)
Epoch: [34][1300/14090]	Time 0.779 (0.773)	Data 0.001 (0.004)	Loss 2.2328 (2.2236)	Prec@1 43.750 (44.011)	Prec@5 73.438 (74.801)
Epoch: [34][1310/14090]	Time 0.762 (0.773)	Data 0.001 (0.004)	Loss 2.2052 (2.2235)	Prec@1 38.281 (44.007)	Prec@5 76.562 (74.800)
Epoch: [34][1320/14090]	Time 0.904 (0.773)	Data 0.001 (0.004)	Loss 2.3208 (2.2234)	Prec@1 40.625 (44.013)	Prec@5 71.875 (74.805)
Epoch: [34][1330/14090]	Time 0.722 (0.773)	Data 0.001 (0.004)	Loss 2.3379 (2.2229)	Prec@1 39.844 (44.025)	Prec@5 71.094 (74.801)
Epoch: [34][1340/14090]	Time 0.746 (0.773)	Data 0.001 (0.004)	Loss 2.3923 (2.2235)	Prec@1 42.188 (44.010)	Prec@5 65.625 (74.781)
Epoch: [34][1350/14090]	Time 0.779 (0.773)	Data 0.001 (0.004)	Loss 2.0399 (2.2231)	Prec@1 45.312 (44.015)	Prec@5 79.688 (74.792)
Epoch: [34][1360/14090]	Time 0.759 (0.773)	Data 0.001 (0.004)	Loss 2.0274 (2.2223)	Prec@1 48.438 (44.032)	Prec@5 80.469 (74.816)
Epoch: [34][1370/14090]	Time 0.759 (0.773)	Data 0.001 (0.004)	Loss 2.1226 (2.2223)	Prec@1 42.188 (44.035)	Prec@5 79.688 (74.815)
Epoch: [34][1380/14090]	Time 0.747 (0.773)	Data 0.002 (0.004)	Loss 2.1401 (2.2222)	Prec@1 41.406 (44.032)	Prec@5 74.219 (74.826)
Epoch: [34][1390/14090]	Time 0.863 (0.773)	Data 0.001 (0.004)	Loss 2.2786 (2.2221)	Prec@1 45.312 (44.029)	Prec@5 71.094 (74.830)
Epoch: [34][1400/14090]	Time 0.751 (0.773)	Data 0.001 (0.004)	Loss 2.1486 (2.2218)	Prec@1 44.531 (44.025)	Prec@5 73.438 (74.832)
Epoch: [34][1410/14090]	Time 0.762 (0.773)	Data 0.001 (0.004)	Loss 2.5682 (2.2221)	Prec@1 38.281 (44.024)	Prec@5 67.188 (74.829)
Epoch: [34][1420/14090]	Time 0.764 (0.773)	Data 0.001 (0.004)	Loss 2.2442 (2.2218)	Prec@1 46.875 (44.031)	Prec@5 75.781 (74.844)
Epoch: [34][1430/14090]	Time 0.744 (0.773)	Data 0.001 (0.004)	Loss 2.4476 (2.2217)	Prec@1 41.406 (44.040)	Prec@5 69.531 (74.849)
Epoch: [34][1440/14090]	Time 0.778 (0.773)	Data 0.001 (0.004)	Loss 2.2892 (2.2219)	Prec@1 39.844 (44.039)	Prec@5 71.875 (74.842)
Epoch: [34][1450/14090]	Time 0.757 (0.773)	Data 0.001 (0.004)	Loss 2.4001 (2.2220)	Prec@1 41.406 (44.040)	Prec@5 71.094 (74.842)
Epoch: [34][1460/14090]	Time 1.021 (0.773)	Data 0.001 (0.004)	Loss 1.9849 (2.2219)	Prec@1 50.000 (44.041)	Prec@5 78.906 (74.834)
Epoch: [34][1470/14090]	Time 0.727 (0.773)	Data 0.001 (0.004)	Loss 2.0065 (2.2223)	Prec@1 47.656 (44.048)	Prec@5 72.656 (74.820)
Epoch: [34][1480/14090]	Time 0.741 (0.773)	Data 0.001 (0.004)	Loss 2.1703 (2.2222)	Prec@1 45.312 (44.060)	Prec@5 74.219 (74.816)
Epoch: [34][1490/14090]	Time 0.751 (0.773)	Data 0.001 (0.004)	Loss 2.2140 (2.2223)	Prec@1 43.750 (44.065)	Prec@5 76.562 (74.819)
Epoch: [34][1500/14090]	Time 0.759 (0.773)	Data 0.001 (0.004)	Loss 2.1021 (2.2219)	Prec@1 53.125 (44.074)	Prec@5 78.125 (74.826)
Epoch: [34][1510/14090]	Time 0.757 (0.773)	Data 0.001 (0.004)	Loss 2.2130 (2.2223)	Prec@1 39.062 (44.056)	Prec@5 80.469 (74.829)
Epoch: [34][1520/14090]	Time 0.748 (0.773)	Data 0.001 (0.004)	Loss 2.3927 (2.2225)	Prec@1 41.406 (44.047)	Prec@5 71.875 (74.822)
Epoch: [34][1530/14090]	Time 0.866 (0.773)	Data 0.001 (0.004)	Loss 2.2596 (2.2229)	Prec@1 42.969 (44.041)	Prec@5 79.688 (74.815)
Epoch: [34][1540/14090]	Time 0.775 (0.773)	Data 0.001 (0.004)	Loss 2.2923 (2.2228)	Prec@1 39.844 (44.046)	Prec@5 74.219 (74.817)
Epoch: [34][1550/14090]	Time 0.763 (0.773)	Data 0.001 (0.004)	Loss 2.1299 (2.2226)	Prec@1 45.312 (44.048)	Prec@5 77.344 (74.820)
Epoch: [34][1560/14090]	Time 0.776 (0.773)	Data 0.001 (0.004)	Loss 2.3562 (2.2230)	Prec@1 41.406 (44.037)	Prec@5 67.969 (74.800)
Epoch: [34][1570/14090]	Time 0.752 (0.773)	Data 0.001 (0.004)	Loss 2.2279 (2.2229)	Prec@1 42.188 (44.041)	Prec@5 73.438 (74.793)
Epoch: [34][1580/14090]	Time 0.760 (0.773)	Data 0.001 (0.004)	Loss 2.0330 (2.2234)	Prec@1 46.094 (44.030)	Prec@5 82.031 (74.784)
Epoch: [34][1590/14090]	Time 0.743 (0.773)	Data 0.002 (0.004)	Loss 2.1089 (2.2226)	Prec@1 43.750 (44.047)	Prec@5 74.219 (74.799)
Epoch: [34][1600/14090]	Time 0.911 (0.773)	Data 0.001 (0.004)	Loss 2.1295 (2.2233)	Prec@1 45.312 (44.030)	Prec@5 78.906 (74.787)
Epoch: [34][1610/14090]	Time 0.750 (0.773)	Data 0.001 (0.004)	Loss 1.9146 (2.2235)	Prec@1 50.000 (44.030)	Prec@5 78.906 (74.779)
Epoch: [34][1620/14090]	Time 0.745 (0.773)	Data 0.001 (0.004)	Loss 2.4654 (2.2232)	Prec@1 35.938 (44.043)	Prec@5 70.312 (74.783)
Epoch: [34][1630/14090]	Time 0.738 (0.773)	Data 0.001 (0.004)	Loss 2.3982 (2.2226)	Prec@1 34.375 (44.051)	Prec@5 73.438 (74.787)
Epoch: [34][1640/14090]	Time 0.785 (0.773)	Data 0.001 (0.004)	Loss 1.8908 (2.2222)	Prec@1 50.781 (44.061)	Prec@5 85.156 (74.803)
Epoch: [34][1650/14090]	Time 0.739 (0.773)	Data 0.001 (0.004)	Loss 2.5146 (2.2225)	Prec@1 34.375 (44.057)	Prec@5 71.875 (74.800)
Epoch: [34][1660/14090]	Time 0.790 (0.773)	Data 0.001 (0.004)	Loss 2.0441 (2.2223)	Prec@1 46.875 (44.070)	Prec@5 79.688 (74.802)
Epoch: [34][1670/14090]	Time 0.891 (0.773)	Data 0.001 (0.004)	Loss 2.3731 (2.2224)	Prec@1 37.500 (44.066)	Prec@5 70.312 (74.795)
Epoch: [34][1680/14090]	Time 0.754 (0.773)	Data 0.001 (0.004)	Loss 2.1775 (2.2229)	Prec@1 42.188 (44.061)	Prec@5 77.344 (74.790)
Epoch: [34][1690/14090]	Time 0.762 (0.773)	Data 0.001 (0.004)	Loss 2.1712 (2.2225)	Prec@1 47.656 (44.069)	Prec@5 79.688 (74.798)
Epoch: [34][1700/14090]	Time 0.729 (0.773)	Data 0.001 (0.004)	Loss 2.0796 (2.2222)	Prec@1 44.531 (44.070)	Prec@5 80.469 (74.801)
Epoch: [34][1710/14090]	Time 0.772 (0.773)	Data 0.001 (0.004)	Loss 2.2504 (2.2225)	Prec@1 45.312 (44.071)	Prec@5 72.656 (74.794)
Epoch: [34][1720/14090]	Time 0.742 (0.773)	Data 0.001 (0.004)	Loss 2.1563 (2.2223)	Prec@1 47.656 (44.074)	Prec@5 76.562 (74.801)
Epoch: [34][1730/14090]	Time 0.740 (0.773)	Data 0.001 (0.004)	Loss 2.2214 (2.2226)	Prec@1 40.625 (44.070)	Prec@5 75.000 (74.798)
Epoch: [34][1740/14090]	Time 0.897 (0.773)	Data 0.001 (0.004)	Loss 2.2302 (2.2228)	Prec@1 40.625 (44.068)	Prec@5 72.656 (74.790)
Epoch: [34][1750/14090]	Time 0.743 (0.772)	Data 0.001 (0.004)	Loss 2.3321 (2.2231)	Prec@1 39.062 (44.062)	Prec@5 74.219 (74.795)
Epoch: [34][1760/14090]	Time 0.756 (0.772)	Data 0.001 (0.004)	Loss 2.1426 (2.2232)	Prec@1 39.062 (44.062)	Prec@5 76.562 (74.791)
Epoch: [34][1770/14090]	Time 0.779 (0.772)	Data 0.001 (0.004)	Loss 2.3268 (2.2235)	Prec@1 45.312 (44.059)	Prec@5 71.094 (74.783)
Epoch: [34][1780/14090]	Time 0.773 (0.772)	Data 0.001 (0.003)	Loss 2.2451 (2.2231)	Prec@1 48.438 (44.079)	Prec@5 77.344 (74.784)
Epoch: [34][1790/14090]	Time 0.766 (0.772)	Data 0.001 (0.003)	Loss 1.9437 (2.2225)	Prec@1 50.781 (44.101)	Prec@5 80.469 (74.792)
Epoch: [34][1800/14090]	Time 0.734 (0.772)	Data 0.001 (0.003)	Loss 2.3807 (2.2228)	Prec@1 37.500 (44.097)	Prec@5 75.000 (74.793)
Epoch: [34][1810/14090]	Time 0.874 (0.772)	Data 0.001 (0.003)	Loss 2.1133 (2.2228)	Prec@1 47.656 (44.095)	Prec@5 75.000 (74.789)
Epoch: [34][1820/14090]	Time 0.774 (0.772)	Data 0.001 (0.003)	Loss 2.4139 (2.2226)	Prec@1 42.969 (44.108)	Prec@5 69.531 (74.788)
Epoch: [34][1830/14090]	Time 0.729 (0.772)	Data 0.002 (0.003)	Loss 2.5334 (2.2223)	Prec@1 40.625 (44.112)	Prec@5 68.750 (74.796)
Epoch: [34][1840/14090]	Time 0.768 (0.772)	Data 0.001 (0.003)	Loss 2.3645 (2.2225)	Prec@1 40.625 (44.102)	Prec@5 75.781 (74.799)
Epoch: [34][1850/14090]	Time 0.786 (0.772)	Data 0.001 (0.003)	Loss 2.3097 (2.2226)	Prec@1 39.062 (44.096)	Prec@5 73.438 (74.804)
Epoch: [34][1860/14090]	Time 0.768 (0.772)	Data 0.001 (0.003)	Loss 2.1747 (2.2228)	Prec@1 45.312 (44.094)	Prec@5 71.875 (74.796)
Epoch: [34][1870/14090]	Time 0.757 (0.772)	Data 0.001 (0.003)	Loss 2.0648 (2.2227)	Prec@1 51.562 (44.095)	Prec@5 76.562 (74.797)
Epoch: [34][1880/14090]	Time 0.884 (0.772)	Data 0.001 (0.003)	Loss 2.3322 (2.2227)	Prec@1 41.406 (44.086)	Prec@5 75.000 (74.794)
Epoch: [34][1890/14090]	Time 0.746 (0.772)	Data 0.001 (0.003)	Loss 2.2882 (2.2225)	Prec@1 40.625 (44.091)	Prec@5 72.656 (74.798)
Epoch: [34][1900/14090]	Time 0.755 (0.772)	Data 0.001 (0.003)	Loss 2.1286 (2.2221)	Prec@1 43.750 (44.100)	Prec@5 77.344 (74.800)
Epoch: [34][1910/14090]	Time 0.782 (0.772)	Data 0.001 (0.003)	Loss 2.3753 (2.2219)	Prec@1 42.969 (44.100)	Prec@5 71.875 (74.812)
Epoch: [34][1920/14090]	Time 0.756 (0.772)	Data 0.001 (0.003)	Loss 2.1183 (2.2220)	Prec@1 47.656 (44.101)	Prec@5 78.125 (74.813)
Epoch: [34][1930/14090]	Time 0.766 (0.772)	Data 0.001 (0.003)	Loss 2.1011 (2.2221)	Prec@1 50.781 (44.101)	Prec@5 79.688 (74.806)
Epoch: [34][1940/14090]	Time 0.730 (0.772)	Data 0.001 (0.003)	Loss 2.5754 (2.2221)	Prec@1 40.625 (44.103)	Prec@5 67.969 (74.804)
Epoch: [34][1950/14090]	Time 0.948 (0.773)	Data 0.001 (0.003)	Loss 2.1646 (2.2217)	Prec@1 45.312 (44.114)	Prec@5 78.125 (74.813)
Epoch: [34][1960/14090]	Time 0.745 (0.772)	Data 0.001 (0.003)	Loss 1.9951 (2.2216)	Prec@1 52.344 (44.116)	Prec@5 82.031 (74.820)
Epoch: [34][1970/14090]	Time 0.747 (0.772)	Data 0.001 (0.003)	Loss 2.0051 (2.2216)	Prec@1 49.219 (44.110)	Prec@5 79.688 (74.821)
Epoch: [34][1980/14090]	Time 0.739 (0.773)	Data 0.001 (0.003)	Loss 2.2334 (2.2215)	Prec@1 43.750 (44.117)	Prec@5 75.000 (74.822)
Epoch: [34][1990/14090]	Time 0.750 (0.772)	Data 0.001 (0.003)	Loss 2.2417 (2.2217)	Prec@1 42.969 (44.113)	Prec@5 75.000 (74.820)
Epoch: [34][2000/14090]	Time 0.754 (0.772)	Data 0.001 (0.003)	Loss 2.1762 (2.2216)	Prec@1 46.094 (44.124)	Prec@5 74.219 (74.816)
Epoch: [34][2010/14090]	Time 0.734 (0.772)	Data 0.001 (0.003)	Loss 2.2991 (2.2217)	Prec@1 42.188 (44.126)	Prec@5 72.656 (74.810)
Epoch: [34][2020/14090]	Time 0.857 (0.772)	Data 0.001 (0.003)	Loss 2.0678 (2.2215)	Prec@1 48.438 (44.137)	Prec@5 77.344 (74.809)
Epoch: [34][2030/14090]	Time 0.743 (0.772)	Data 0.001 (0.003)	Loss 2.1144 (2.2218)	Prec@1 42.969 (44.124)	Prec@5 75.781 (74.802)
Epoch: [34][2040/14090]	Time 0.753 (0.772)	Data 0.001 (0.003)	Loss 2.3133 (2.2222)	Prec@1 44.531 (44.119)	Prec@5 73.438 (74.799)
Epoch: [34][2050/14090]	Time 0.749 (0.772)	Data 0.001 (0.003)	Loss 2.5916 (2.2224)	Prec@1 33.594 (44.111)	Prec@5 71.094 (74.795)
Epoch: [34][2060/14090]	Time 0.751 (0.772)	Data 0.001 (0.003)	Loss 2.3368 (2.2228)	Prec@1 42.188 (44.109)	Prec@5 75.000 (74.786)
Epoch: [34][2070/14090]	Time 0.733 (0.772)	Data 0.001 (0.003)	Loss 2.1681 (2.2227)	Prec@1 41.406 (44.106)	Prec@5 75.781 (74.791)
Epoch: [34][2080/14090]	Time 0.759 (0.772)	Data 0.001 (0.003)	Loss 2.1687 (2.2226)	Prec@1 49.219 (44.112)	Prec@5 75.781 (74.792)
Epoch: [34][2090/14090]	Time 0.903 (0.772)	Data 0.001 (0.003)	Loss 1.9551 (2.2224)	Prec@1 50.000 (44.114)	Prec@5 81.250 (74.797)
Epoch: [34][2100/14090]	Time 0.755 (0.772)	Data 0.001 (0.003)	Loss 2.4238 (2.2226)	Prec@1 40.625 (44.106)	Prec@5 68.750 (74.792)
Epoch: [34][2110/14090]	Time 0.749 (0.772)	Data 0.001 (0.003)	Loss 2.3309 (2.2231)	Prec@1 42.969 (44.101)	Prec@5 70.312 (74.785)
Epoch: [34][2120/14090]	Time 0.756 (0.772)	Data 0.001 (0.003)	Loss 2.5538 (2.2234)	Prec@1 41.406 (44.103)	Prec@5 68.750 (74.779)
Epoch: [34][2130/14090]	Time 0.752 (0.772)	Data 0.001 (0.003)	Loss 2.2831 (2.2237)	Prec@1 42.969 (44.098)	Prec@5 73.438 (74.775)
Epoch: [34][2140/14090]	Time 0.786 (0.772)	Data 0.001 (0.003)	Loss 2.5163 (2.2235)	Prec@1 39.844 (44.100)	Prec@5 68.750 (74.780)
Epoch: [34][2150/14090]	Time 0.793 (0.772)	Data 0.001 (0.003)	Loss 2.3161 (2.2237)	Prec@1 46.094 (44.098)	Prec@5 71.875 (74.773)
Epoch: [34][2160/14090]	Time 0.872 (0.772)	Data 0.001 (0.003)	Loss 1.9814 (2.2235)	Prec@1 46.875 (44.095)	Prec@5 81.250 (74.778)
Epoch: [34][2170/14090]	Time 0.742 (0.772)	Data 0.001 (0.003)	Loss 2.2588 (2.2238)	Prec@1 45.312 (44.088)	Prec@5 75.781 (74.775)
Epoch: [34][2180/14090]	Time 0.756 (0.772)	Data 0.001 (0.003)	Loss 2.2060 (2.2241)	Prec@1 43.750 (44.085)	Prec@5 73.438 (74.774)
Epoch: [34][2190/14090]	Time 0.783 (0.772)	Data 0.001 (0.003)	Loss 2.2820 (2.2240)	Prec@1 45.312 (44.087)	Prec@5 70.312 (74.773)
Epoch: [34][2200/14090]	Time 0.743 (0.772)	Data 0.001 (0.003)	Loss 2.2636 (2.2236)	Prec@1 42.188 (44.092)	Prec@5 78.125 (74.782)
Epoch: [34][2210/14090]	Time 0.748 (0.772)	Data 0.001 (0.003)	Loss 2.3473 (2.2236)	Prec@1 39.844 (44.096)	Prec@5 70.312 (74.780)
Epoch: [34][2220/14090]	Time 0.757 (0.772)	Data 0.001 (0.003)	Loss 2.1610 (2.2231)	Prec@1 44.531 (44.101)	Prec@5 74.219 (74.790)
Epoch: [34][2230/14090]	Time 0.916 (0.772)	Data 0.001 (0.003)	Loss 2.4771 (2.2229)	Prec@1 39.062 (44.101)	Prec@5 74.219 (74.795)
Epoch: [34][2240/14090]	Time 0.765 (0.772)	Data 0.001 (0.003)	Loss 2.1014 (2.2229)	Prec@1 45.312 (44.102)	Prec@5 73.438 (74.797)
Epoch: [34][2250/14090]	Time 0.758 (0.772)	Data 0.001 (0.003)	Loss 2.1420 (2.2228)	Prec@1 42.969 (44.095)	Prec@5 75.000 (74.792)
Epoch: [34][2260/14090]	Time 0.744 (0.772)	Data 0.001 (0.003)	Loss 2.1951 (2.2228)	Prec@1 45.312 (44.092)	Prec@5 74.219 (74.790)
Epoch: [34][2270/14090]	Time 0.741 (0.772)	Data 0.001 (0.003)	Loss 2.2311 (2.2231)	Prec@1 41.406 (44.088)	Prec@5 75.000 (74.786)
Epoch: [34][2280/14090]	Time 0.788 (0.772)	Data 0.001 (0.003)	Loss 2.0287 (2.2229)	Prec@1 42.188 (44.093)	Prec@5 77.344 (74.779)
Epoch: [34][2290/14090]	Time 0.755 (0.772)	Data 0.001 (0.003)	Loss 1.8987 (2.2230)	Prec@1 56.250 (44.091)	Prec@5 78.125 (74.778)
Epoch: [34][2300/14090]	Time 0.860 (0.772)	Data 0.001 (0.003)	Loss 2.3802 (2.2232)	Prec@1 45.312 (44.094)	Prec@5 73.438 (74.774)
Epoch: [34][2310/14090]	Time 0.748 (0.772)	Data 0.001 (0.003)	Loss 2.4490 (2.2233)	Prec@1 38.281 (44.097)	Prec@5 67.188 (74.773)
Epoch: [34][2320/14090]	Time 0.752 (0.772)	Data 0.001 (0.003)	Loss 2.0485 (2.2233)	Prec@1 44.531 (44.095)	Prec@5 76.562 (74.770)
Epoch: [34][2330/14090]	Time 0.764 (0.772)	Data 0.001 (0.003)	Loss 2.2456 (2.2233)	Prec@1 35.156 (44.091)	Prec@5 77.344 (74.772)
Epoch: [34][2340/14090]	Time 0.772 (0.772)	Data 0.001 (0.003)	Loss 2.2348 (2.2236)	Prec@1 44.531 (44.087)	Prec@5 72.656 (74.763)
Epoch: [34][2350/14090]	Time 0.750 (0.772)	Data 0.001 (0.003)	Loss 2.0859 (2.2237)	Prec@1 50.000 (44.086)	Prec@5 75.000 (74.758)
Epoch: [34][2360/14090]	Time 0.733 (0.772)	Data 0.001 (0.003)	Loss 2.3830 (2.2239)	Prec@1 39.844 (44.081)	Prec@5 78.125 (74.763)
Epoch: [34][2370/14090]	Time 0.850 (0.772)	Data 0.001 (0.003)	Loss 2.6742 (2.2242)	Prec@1 37.500 (44.078)	Prec@5 65.625 (74.756)
Epoch: [34][2380/14090]	Time 0.763 (0.772)	Data 0.001 (0.003)	Loss 2.4966 (2.2242)	Prec@1 41.406 (44.071)	Prec@5 74.219 (74.763)
Epoch: [34][2390/14090]	Time 0.764 (0.772)	Data 0.001 (0.003)	Loss 1.9571 (2.2239)	Prec@1 46.094 (44.084)	Prec@5 81.250 (74.769)
Epoch: [34][2400/14090]	Time 0.759 (0.772)	Data 0.001 (0.003)	Loss 2.5035 (2.2241)	Prec@1 39.844 (44.077)	Prec@5 70.312 (74.765)
Epoch: [34][2410/14090]	Time 0.737 (0.772)	Data 0.001 (0.003)	Loss 2.3112 (2.2243)	Prec@1 42.188 (44.080)	Prec@5 75.000 (74.760)
Epoch: [34][2420/14090]	Time 0.768 (0.772)	Data 0.001 (0.003)	Loss 2.2348 (2.2244)	Prec@1 42.188 (44.087)	Prec@5 72.656 (74.754)
Epoch: [34][2430/14090]	Time 0.758 (0.772)	Data 0.001 (0.003)	Loss 2.2895 (2.2248)	Prec@1 43.750 (44.084)	Prec@5 67.969 (74.742)
Epoch: [34][2440/14090]	Time 0.888 (0.772)	Data 0.001 (0.003)	Loss 2.0745 (2.2244)	Prec@1 46.875 (44.089)	Prec@5 77.344 (74.750)
Epoch: [34][2450/14090]	Time 0.769 (0.772)	Data 0.001 (0.003)	Loss 2.0403 (2.2245)	Prec@1 44.531 (44.084)	Prec@5 77.344 (74.747)
Epoch: [34][2460/14090]	Time 0.746 (0.772)	Data 0.001 (0.003)	Loss 2.3443 (2.2246)	Prec@1 43.750 (44.084)	Prec@5 74.219 (74.746)
Epoch: [34][2470/14090]	Time 0.752 (0.772)	Data 0.001 (0.003)	Loss 2.1448 (2.2243)	Prec@1 45.312 (44.087)	Prec@5 77.344 (74.752)
Epoch: [34][2480/14090]	Time 0.735 (0.772)	Data 0.001 (0.003)	Loss 2.0946 (2.2245)	Prec@1 46.094 (44.085)	Prec@5 78.906 (74.743)
Epoch: [34][2490/14090]	Time 0.734 (0.772)	Data 0.001 (0.003)	Loss 2.1934 (2.2242)	Prec@1 41.406 (44.087)	Prec@5 72.656 (74.748)
Epoch: [34][2500/14090]	Time 0.762 (0.772)	Data 0.001 (0.003)	Loss 2.4013 (2.2245)	Prec@1 44.531 (44.085)	Prec@5 75.000 (74.750)
Epoch: [34][2510/14090]	Time 0.850 (0.772)	Data 0.001 (0.003)	Loss 2.2301 (2.2247)	Prec@1 46.094 (44.088)	Prec@5 70.312 (74.742)
Epoch: [34][2520/14090]	Time 0.759 (0.772)	Data 0.001 (0.003)	Loss 2.1801 (2.2248)	Prec@1 47.656 (44.086)	Prec@5 74.219 (74.739)
Epoch: [34][2530/14090]	Time 0.748 (0.772)	Data 0.001 (0.003)	Loss 2.0733 (2.2247)	Prec@1 46.094 (44.086)	Prec@5 80.469 (74.741)
Epoch: [34][2540/14090]	Time 0.752 (0.772)	Data 0.001 (0.003)	Loss 2.1871 (2.2245)	Prec@1 45.312 (44.091)	Prec@5 76.562 (74.744)
Epoch: [34][2550/14090]	Time 0.733 (0.772)	Data 0.001 (0.003)	Loss 2.1132 (2.2243)	Prec@1 47.656 (44.099)	Prec@5 72.656 (74.748)
Epoch: [34][2560/14090]	Time 0.735 (0.772)	Data 0.001 (0.003)	Loss 2.1882 (2.2244)	Prec@1 43.750 (44.099)	Prec@5 76.562 (74.746)
Epoch: [34][2570/14090]	Time 0.760 (0.772)	Data 0.001 (0.003)	Loss 2.4871 (2.2246)	Prec@1 42.188 (44.097)	Prec@5 67.969 (74.740)
Epoch: [34][2580/14090]	Time 0.855 (0.772)	Data 0.001 (0.003)	Loss 2.4899 (2.2243)	Prec@1 36.719 (44.097)	Prec@5 69.531 (74.739)
Epoch: [34][2590/14090]	Time 0.719 (0.772)	Data 0.002 (0.003)	Loss 2.2336 (2.2245)	Prec@1 40.625 (44.097)	Prec@5 75.000 (74.737)
Epoch: [34][2600/14090]	Time 0.740 (0.772)	Data 0.001 (0.003)	Loss 2.0919 (2.2246)	Prec@1 46.875 (44.087)	Prec@5 78.125 (74.735)
Epoch: [34][2610/14090]	Time 0.734 (0.772)	Data 0.001 (0.003)	Loss 1.9321 (2.2244)	Prec@1 46.875 (44.087)	Prec@5 81.250 (74.741)
Epoch: [34][2620/14090]	Time 0.753 (0.772)	Data 0.001 (0.003)	Loss 2.4126 (2.2242)	Prec@1 39.844 (44.090)	Prec@5 68.750 (74.745)
Epoch: [34][2630/14090]	Time 0.760 (0.772)	Data 0.001 (0.003)	Loss 2.0718 (2.2241)	Prec@1 43.750 (44.096)	Prec@5 78.125 (74.743)
Epoch: [34][2640/14090]	Time 0.745 (0.772)	Data 0.001 (0.003)	Loss 2.4555 (2.2243)	Prec@1 39.844 (44.098)	Prec@5 71.875 (74.740)
Epoch: [34][2650/14090]	Time 0.862 (0.772)	Data 0.001 (0.003)	Loss 2.4418 (2.2241)	Prec@1 39.062 (44.101)	Prec@5 72.656 (74.747)
Epoch: [34][2660/14090]	Time 0.763 (0.772)	Data 0.001 (0.003)	Loss 2.1094 (2.2242)	Prec@1 49.219 (44.103)	Prec@5 76.562 (74.743)
Epoch: [34][2670/14090]	Time 0.734 (0.772)	Data 0.001 (0.003)	Loss 2.0670 (2.2243)	Prec@1 45.312 (44.097)	Prec@5 76.562 (74.741)
Epoch: [34][2680/14090]	Time 0.751 (0.772)	Data 0.001 (0.003)	Loss 2.2655 (2.2246)	Prec@1 42.969 (44.091)	Prec@5 76.562 (74.739)
Epoch: [34][2690/14090]	Time 0.745 (0.772)	Data 0.001 (0.003)	Loss 2.2042 (2.2244)	Prec@1 49.219 (44.098)	Prec@5 74.219 (74.745)
Epoch: [34][2700/14090]	Time 0.744 (0.772)	Data 0.001 (0.003)	Loss 2.1346 (2.2244)	Prec@1 46.094 (44.099)	Prec@5 75.000 (74.744)
Epoch: [34][2710/14090]	Time 0.743 (0.772)	Data 0.001 (0.003)	Loss 2.3391 (2.2246)	Prec@1 36.719 (44.096)	Prec@5 76.562 (74.738)
Epoch: [34][2720/14090]	Time 0.899 (0.772)	Data 0.001 (0.003)	Loss 1.8927 (2.2248)	Prec@1 55.469 (44.095)	Prec@5 79.688 (74.734)
Epoch: [34][2730/14090]	Time 0.758 (0.772)	Data 0.001 (0.003)	Loss 2.1678 (2.2246)	Prec@1 44.531 (44.104)	Prec@5 71.094 (74.732)
Epoch: [34][2740/14090]	Time 0.764 (0.772)	Data 0.001 (0.003)	Loss 2.2631 (2.2246)	Prec@1 45.312 (44.104)	Prec@5 71.094 (74.735)
Epoch: [34][2750/14090]	Time 0.735 (0.772)	Data 0.001 (0.003)	Loss 2.1354 (2.2247)	Prec@1 50.000 (44.101)	Prec@5 73.438 (74.734)
Epoch: [34][2760/14090]	Time 0.789 (0.772)	Data 0.001 (0.003)	Loss 2.4225 (2.2247)	Prec@1 41.406 (44.101)	Prec@5 71.875 (74.734)
Epoch: [34][2770/14090]	Time 0.741 (0.772)	Data 0.001 (0.003)	Loss 1.9076 (2.2243)	Prec@1 53.125 (44.106)	Prec@5 81.250 (74.741)
Epoch: [34][2780/14090]	Time 0.736 (0.772)	Data 0.001 (0.003)	Loss 2.1312 (2.2243)	Prec@1 42.969 (44.108)	Prec@5 71.875 (74.735)
Epoch: [34][2790/14090]	Time 0.875 (0.772)	Data 0.001 (0.003)	Loss 2.2113 (2.2240)	Prec@1 42.969 (44.116)	Prec@5 72.656 (74.735)
Epoch: [34][2800/14090]	Time 0.748 (0.772)	Data 0.001 (0.003)	Loss 2.3550 (2.2242)	Prec@1 39.844 (44.112)	Prec@5 73.438 (74.734)
Epoch: [34][2810/14090]	Time 0.746 (0.772)	Data 0.001 (0.003)	Loss 2.2195 (2.2241)	Prec@1 41.406 (44.117)	Prec@5 75.000 (74.740)
Epoch: [34][2820/14090]	Time 0.763 (0.772)	Data 0.001 (0.003)	Loss 2.3098 (2.2238)	Prec@1 46.875 (44.124)	Prec@5 69.531 (74.747)
Epoch: [34][2830/14090]	Time 0.748 (0.772)	Data 0.001 (0.003)	Loss 2.0506 (2.2237)	Prec@1 39.844 (44.125)	Prec@5 76.562 (74.748)
Epoch: [34][2840/14090]	Time 0.732 (0.772)	Data 0.001 (0.003)	Loss 2.4007 (2.2237)	Prec@1 37.500 (44.118)	Prec@5 69.531 (74.751)
Epoch: [34][2850/14090]	Time 0.757 (0.772)	Data 0.001 (0.003)	Loss 2.1344 (2.2235)	Prec@1 39.062 (44.116)	Prec@5 78.906 (74.762)
Epoch: [34][2860/14090]	Time 0.856 (0.772)	Data 0.001 (0.003)	Loss 1.9950 (2.2236)	Prec@1 47.656 (44.110)	Prec@5 78.906 (74.762)
Epoch: [34][2870/14090]	Time 0.727 (0.772)	Data 0.001 (0.003)	Loss 2.0925 (2.2237)	Prec@1 44.531 (44.106)	Prec@5 78.125 (74.764)
Epoch: [34][2880/14090]	Time 0.793 (0.772)	Data 0.001 (0.003)	Loss 2.4003 (2.2240)	Prec@1 39.844 (44.104)	Prec@5 71.875 (74.755)
Epoch: [34][2890/14090]	Time 0.760 (0.772)	Data 0.001 (0.002)	Loss 2.4548 (2.2243)	Prec@1 46.094 (44.099)	Prec@5 68.750 (74.749)
Epoch: [34][2900/14090]	Time 0.775 (0.772)	Data 0.001 (0.002)	Loss 2.0771 (2.2242)	Prec@1 41.406 (44.101)	Prec@5 80.469 (74.754)
Epoch: [34][2910/14090]	Time 0.755 (0.772)	Data 0.001 (0.002)	Loss 2.2837 (2.2244)	Prec@1 41.406 (44.097)	Prec@5 72.656 (74.746)
Epoch: [34][2920/14090]	Time 0.727 (0.772)	Data 0.001 (0.002)	Loss 2.4370 (2.2246)	Prec@1 43.750 (44.094)	Prec@5 74.219 (74.747)
Epoch: [34][2930/14090]	Time 0.927 (0.772)	Data 0.001 (0.002)	Loss 2.2715 (2.2246)	Prec@1 35.156 (44.097)	Prec@5 71.094 (74.743)
Epoch: [34][2940/14090]	Time 0.758 (0.772)	Data 0.001 (0.002)	Loss 2.0459 (2.2247)	Prec@1 50.000 (44.100)	Prec@5 78.906 (74.742)
Epoch: [34][2950/14090]	Time 0.733 (0.772)	Data 0.001 (0.002)	Loss 1.9467 (2.2247)	Prec@1 50.000 (44.102)	Prec@5 80.469 (74.742)
Epoch: [34][2960/14090]	Time 0.751 (0.772)	Data 0.001 (0.002)	Loss 2.1848 (2.2247)	Prec@1 50.000 (44.106)	Prec@5 75.781 (74.745)
Epoch: [34][2970/14090]	Time 0.761 (0.772)	Data 0.001 (0.002)	Loss 2.1363 (2.2247)	Prec@1 50.781 (44.108)	Prec@5 78.906 (74.741)
Epoch: [34][2980/14090]	Time 0.790 (0.772)	Data 0.001 (0.002)	Loss 2.4006 (2.2247)	Prec@1 43.750 (44.107)	Prec@5 74.219 (74.740)
Epoch: [34][2990/14090]	Time 0.760 (0.772)	Data 0.001 (0.002)	Loss 2.3220 (2.2250)	Prec@1 41.406 (44.097)	Prec@5 65.625 (74.735)
Epoch: [34][3000/14090]	Time 0.843 (0.772)	Data 0.001 (0.002)	Loss 2.1215 (2.2249)	Prec@1 45.312 (44.089)	Prec@5 70.312 (74.733)
Epoch: [34][3010/14090]	Time 0.742 (0.772)	Data 0.001 (0.002)	Loss 2.3311 (2.2249)	Prec@1 41.406 (44.089)	Prec@5 74.219 (74.733)
Epoch: [34][3020/14090]	Time 0.747 (0.772)	Data 0.001 (0.002)	Loss 2.0676 (2.2253)	Prec@1 51.562 (44.086)	Prec@5 78.125 (74.729)
Epoch: [34][3030/14090]	Time 0.737 (0.772)	Data 0.001 (0.002)	Loss 2.2516 (2.2253)	Prec@1 47.656 (44.085)	Prec@5 75.781 (74.731)
Epoch: [34][3040/14090]	Time 0.725 (0.771)	Data 0.001 (0.002)	Loss 2.0484 (2.2251)	Prec@1 46.875 (44.087)	Prec@5 79.688 (74.736)
Epoch: [34][3050/14090]	Time 0.759 (0.772)	Data 0.003 (0.002)	Loss 2.5123 (2.2252)	Prec@1 35.938 (44.080)	Prec@5 64.062 (74.728)
Epoch: [34][3060/14090]	Time 0.753 (0.771)	Data 0.001 (0.002)	Loss 2.6131 (2.2253)	Prec@1 35.156 (44.075)	Prec@5 67.969 (74.727)
Epoch: [34][3070/14090]	Time 0.868 (0.771)	Data 0.001 (0.002)	Loss 2.3319 (2.2254)	Prec@1 41.406 (44.075)	Prec@5 71.875 (74.724)
Epoch: [34][3080/14090]	Time 0.744 (0.771)	Data 0.001 (0.002)	Loss 2.2312 (2.2252)	Prec@1 39.844 (44.081)	Prec@5 75.000 (74.729)
Epoch: [34][3090/14090]	Time 0.761 (0.771)	Data 0.001 (0.002)	Loss 2.1767 (2.2252)	Prec@1 48.438 (44.085)	Prec@5 75.000 (74.727)
Epoch: [34][3100/14090]	Time 0.721 (0.771)	Data 0.001 (0.002)	Loss 2.5451 (2.2252)	Prec@1 38.281 (44.084)	Prec@5 71.094 (74.727)
Epoch: [34][3110/14090]	Time 0.735 (0.771)	Data 0.001 (0.002)	Loss 2.0748 (2.2254)	Prec@1 46.875 (44.082)	Prec@5 78.906 (74.726)
Epoch: [34][3120/14090]	Time 0.768 (0.771)	Data 0.001 (0.002)	Loss 2.2087 (2.2255)	Prec@1 42.969 (44.083)	Prec@5 75.000 (74.722)
Epoch: [34][3130/14090]	Time 0.741 (0.771)	Data 0.001 (0.002)	Loss 2.1005 (2.2254)	Prec@1 46.094 (44.083)	Prec@5 73.438 (74.722)
Epoch: [34][3140/14090]	Time 0.868 (0.771)	Data 0.001 (0.002)	Loss 2.3210 (2.2255)	Prec@1 50.781 (44.084)	Prec@5 71.875 (74.718)
Epoch: [34][3150/14090]	Time 0.762 (0.771)	Data 0.001 (0.002)	Loss 2.0802 (2.2256)	Prec@1 52.344 (44.083)	Prec@5 77.344 (74.714)
Epoch: [34][3160/14090]	Time 0.757 (0.771)	Data 0.001 (0.002)	Loss 2.1390 (2.2256)	Prec@1 45.312 (44.081)	Prec@5 77.344 (74.711)
Epoch: [34][3170/14090]	Time 0.767 (0.771)	Data 0.001 (0.002)	Loss 1.8735 (2.2251)	Prec@1 55.469 (44.098)	Prec@5 81.250 (74.719)
Epoch: [34][3180/14090]	Time 0.731 (0.771)	Data 0.001 (0.002)	Loss 2.0988 (2.2252)	Prec@1 47.656 (44.095)	Prec@5 78.125 (74.716)
Epoch: [34][3190/14090]	Time 0.754 (0.771)	Data 0.001 (0.002)	Loss 1.9343 (2.2250)	Prec@1 46.875 (44.095)	Prec@5 78.125 (74.715)
Epoch: [34][3200/14090]	Time 0.753 (0.771)	Data 0.001 (0.002)	Loss 2.2217 (2.2251)	Prec@1 51.562 (44.097)	Prec@5 75.000 (74.712)
Epoch: [34][3210/14090]	Time 0.874 (0.771)	Data 0.001 (0.002)	Loss 2.0012 (2.2251)	Prec@1 48.438 (44.098)	Prec@5 75.000 (74.714)
Epoch: [34][3220/14090]	Time 0.779 (0.771)	Data 0.001 (0.002)	Loss 2.2109 (2.2248)	Prec@1 43.750 (44.105)	Prec@5 75.781 (74.717)
Epoch: [34][3230/14090]	Time 0.772 (0.771)	Data 0.001 (0.002)	Loss 2.1854 (2.2247)	Prec@1 47.656 (44.109)	Prec@5 70.312 (74.716)
Epoch: [34][3240/14090]	Time 0.743 (0.771)	Data 0.001 (0.002)	Loss 2.2402 (2.2245)	Prec@1 45.312 (44.115)	Prec@5 74.219 (74.722)
Epoch: [34][3250/14090]	Time 0.724 (0.771)	Data 0.001 (0.002)	Loss 2.4441 (2.2245)	Prec@1 42.188 (44.114)	Prec@5 71.094 (74.722)
Epoch: [34][3260/14090]	Time 0.735 (0.771)	Data 0.001 (0.002)	Loss 2.3309 (2.2244)	Prec@1 42.969 (44.119)	Prec@5 71.094 (74.724)
Epoch: [34][3270/14090]	Time 0.748 (0.771)	Data 0.001 (0.002)	Loss 2.2990 (2.2245)	Prec@1 42.188 (44.114)	Prec@5 75.781 (74.724)
Epoch: [34][3280/14090]	Time 0.875 (0.771)	Data 0.001 (0.002)	Loss 2.1467 (2.2243)	Prec@1 45.312 (44.116)	Prec@5 78.125 (74.728)
Epoch: [34][3290/14090]	Time 0.740 (0.771)	Data 0.001 (0.002)	Loss 2.3692 (2.2244)	Prec@1 39.844 (44.118)	Prec@5 71.875 (74.727)
Epoch: [34][3300/14090]	Time 0.756 (0.771)	Data 0.001 (0.002)	Loss 2.0727 (2.2244)	Prec@1 43.750 (44.116)	Prec@5 80.469 (74.726)
Epoch: [34][3310/14090]	Time 0.738 (0.771)	Data 0.001 (0.002)	Loss 2.2469 (2.2242)	Prec@1 46.875 (44.122)	Prec@5 70.312 (74.730)
Epoch: [34][3320/14090]	Time 0.755 (0.771)	Data 0.001 (0.002)	Loss 2.1520 (2.2240)	Prec@1 47.656 (44.126)	Prec@5 75.000 (74.735)
Epoch: [34][3330/14090]	Time 0.774 (0.771)	Data 0.001 (0.002)	Loss 2.2914 (2.2237)	Prec@1 46.094 (44.131)	Prec@5 73.438 (74.743)
Epoch: [34][3340/14090]	Time 0.741 (0.771)	Data 0.001 (0.002)	Loss 2.3524 (2.2236)	Prec@1 42.188 (44.136)	Prec@5 69.531 (74.745)
Epoch: [34][3350/14090]	Time 0.867 (0.771)	Data 0.001 (0.002)	Loss 2.4756 (2.2238)	Prec@1 42.969 (44.129)	Prec@5 70.312 (74.743)
Epoch: [34][3360/14090]	Time 0.756 (0.771)	Data 0.001 (0.002)	Loss 2.2116 (2.2238)	Prec@1 50.781 (44.131)	Prec@5 78.906 (74.744)
Epoch: [34][3370/14090]	Time 0.768 (0.771)	Data 0.001 (0.002)	Loss 2.1352 (2.2240)	Prec@1 42.188 (44.125)	Prec@5 75.000 (74.743)
Epoch: [34][3380/14090]	Time 0.760 (0.771)	Data 0.001 (0.002)	Loss 2.2093 (2.2239)	Prec@1 44.531 (44.129)	Prec@5 79.688 (74.745)
Epoch: [34][3390/14090]	Time 0.766 (0.771)	Data 0.004 (0.002)	Loss 2.4394 (2.2238)	Prec@1 38.281 (44.129)	Prec@5 67.969 (74.743)
Epoch: [34][3400/14090]	Time 0.761 (0.771)	Data 0.001 (0.002)	Loss 2.1677 (2.2238)	Prec@1 46.875 (44.130)	Prec@5 75.781 (74.744)
Epoch: [34][3410/14090]	Time 0.788 (0.771)	Data 0.001 (0.002)	Loss 2.2411 (2.2236)	Prec@1 44.531 (44.135)	Prec@5 78.125 (74.748)
Epoch: [34][3420/14090]	Time 0.884 (0.771)	Data 0.001 (0.002)	Loss 2.1932 (2.2236)	Prec@1 47.656 (44.139)	Prec@5 73.438 (74.750)
Epoch: [34][3430/14090]	Time 0.762 (0.771)	Data 0.001 (0.002)	Loss 2.3726 (2.2237)	Prec@1 46.094 (44.141)	Prec@5 71.094 (74.747)
Epoch: [34][3440/14090]	Time 0.784 (0.771)	Data 0.001 (0.002)	Loss 2.4706 (2.2238)	Prec@1 36.719 (44.133)	Prec@5 68.750 (74.742)
Epoch: [34][3450/14090]	Time 0.757 (0.771)	Data 0.001 (0.002)	Loss 2.2645 (2.2240)	Prec@1 45.312 (44.135)	Prec@5 74.219 (74.743)
Epoch: [34][3460/14090]	Time 0.731 (0.771)	Data 0.001 (0.002)	Loss 2.1567 (2.2240)	Prec@1 42.188 (44.134)	Prec@5 77.344 (74.744)
Epoch: [34][3470/14090]	Time 0.723 (0.771)	Data 0.001 (0.002)	Loss 2.1557 (2.2239)	Prec@1 51.562 (44.141)	Prec@5 76.562 (74.745)
Epoch: [34][3480/14090]	Time 0.758 (0.771)	Data 0.001 (0.002)	Loss 2.3931 (2.2241)	Prec@1 39.844 (44.134)	Prec@5 71.875 (74.738)
Epoch: [34][3490/14090]	Time 0.852 (0.771)	Data 0.001 (0.002)	Loss 2.0442 (2.2240)	Prec@1 43.750 (44.138)	Prec@5 78.125 (74.742)
Epoch: [34][3500/14090]	Time 0.764 (0.771)	Data 0.001 (0.002)	Loss 2.3384 (2.2242)	Prec@1 35.938 (44.133)	Prec@5 75.781 (74.736)
Epoch: [34][3510/14090]	Time 0.755 (0.771)	Data 0.001 (0.002)	Loss 2.3324 (2.2244)	Prec@1 39.062 (44.125)	Prec@5 72.656 (74.733)
Epoch: [34][3520/14090]	Time 0.741 (0.771)	Data 0.001 (0.002)	Loss 2.2656 (2.2244)	Prec@1 43.750 (44.121)	Prec@5 68.750 (74.730)
Epoch: [34][3530/14090]	Time 0.763 (0.771)	Data 0.001 (0.002)	Loss 2.2145 (2.2243)	Prec@1 48.438 (44.127)	Prec@5 75.781 (74.733)
Epoch: [34][3540/14090]	Time 0.766 (0.771)	Data 0.001 (0.002)	Loss 2.2950 (2.2241)	Prec@1 39.062 (44.130)	Prec@5 69.531 (74.732)
Epoch: [34][3550/14090]	Time 0.735 (0.771)	Data 0.001 (0.002)	Loss 1.9453 (2.2242)	Prec@1 50.781 (44.129)	Prec@5 81.250 (74.736)
Epoch: [34][3560/14090]	Time 0.894 (0.771)	Data 0.001 (0.002)	Loss 2.1473 (2.2242)	Prec@1 37.500 (44.125)	Prec@5 77.344 (74.734)
Epoch: [34][3570/14090]	Time 0.754 (0.771)	Data 0.001 (0.002)	Loss 2.6569 (2.2244)	Prec@1 36.719 (44.121)	Prec@5 69.531 (74.731)
Epoch: [34][3580/14090]	Time 0.732 (0.771)	Data 0.001 (0.002)	Loss 2.0533 (2.2245)	Prec@1 53.125 (44.120)	Prec@5 80.469 (74.729)
Epoch: [34][3590/14090]	Time 0.740 (0.771)	Data 0.001 (0.002)	Loss 2.3925 (2.2245)	Prec@1 40.625 (44.119)	Prec@5 67.969 (74.728)
Epoch: [34][3600/14090]	Time 0.760 (0.771)	Data 0.001 (0.002)	Loss 2.1637 (2.2247)	Prec@1 41.406 (44.121)	Prec@5 77.344 (74.725)
Epoch: [34][3610/14090]	Time 0.753 (0.771)	Data 0.001 (0.002)	Loss 1.9700 (2.2246)	Prec@1 50.000 (44.122)	Prec@5 79.688 (74.727)
Epoch: [34][3620/14090]	Time 0.745 (0.771)	Data 0.001 (0.002)	Loss 1.9533 (2.2247)	Prec@1 48.438 (44.119)	Prec@5 79.688 (74.723)
Epoch: [34][3630/14090]	Time 0.881 (0.771)	Data 0.001 (0.002)	Loss 2.3432 (2.2248)	Prec@1 43.750 (44.114)	Prec@5 78.906 (74.724)
Epoch: [34][3640/14090]	Time 0.721 (0.771)	Data 0.001 (0.002)	Loss 2.1876 (2.2246)	Prec@1 44.531 (44.116)	Prec@5 75.000 (74.725)
Epoch: [34][3650/14090]	Time 0.760 (0.771)	Data 0.001 (0.002)	Loss 2.1449 (2.2246)	Prec@1 44.531 (44.120)	Prec@5 76.562 (74.726)
Epoch: [34][3660/14090]	Time 0.786 (0.771)	Data 0.001 (0.002)	Loss 2.0014 (2.2245)	Prec@1 47.656 (44.122)	Prec@5 78.906 (74.729)
Epoch: [34][3670/14090]	Time 0.786 (0.771)	Data 0.001 (0.002)	Loss 2.2123 (2.2244)	Prec@1 45.312 (44.121)	Prec@5 75.781 (74.730)
Epoch: [34][3680/14090]	Time 0.767 (0.771)	Data 0.001 (0.002)	Loss 2.4390 (2.2245)	Prec@1 38.281 (44.122)	Prec@5 68.750 (74.727)
Epoch: [34][3690/14090]	Time 0.758 (0.771)	Data 0.001 (0.002)	Loss 2.0757 (2.2244)	Prec@1 42.188 (44.124)	Prec@5 78.906 (74.730)
Epoch: [34][3700/14090]	Time 0.876 (0.771)	Data 0.001 (0.002)	Loss 2.3645 (2.2245)	Prec@1 38.281 (44.123)	Prec@5 72.656 (74.730)
Epoch: [34][3710/14090]	Time 0.769 (0.771)	Data 0.001 (0.002)	Loss 2.3780 (2.2247)	Prec@1 43.750 (44.121)	Prec@5 72.656 (74.729)
Epoch: [34][3720/14090]	Time 0.745 (0.771)	Data 0.001 (0.002)	Loss 2.2718 (2.2245)	Prec@1 42.188 (44.126)	Prec@5 78.125 (74.737)
Epoch: [34][3730/14090]	Time 0.734 (0.771)	Data 0.001 (0.002)	Loss 2.0417 (2.2245)	Prec@1 46.094 (44.120)	Prec@5 78.906 (74.738)
Epoch: [34][3740/14090]	Time 0.797 (0.771)	Data 0.001 (0.002)	Loss 1.8786 (2.2244)	Prec@1 54.688 (44.123)	Prec@5 82.031 (74.737)
Epoch: [34][3750/14090]	Time 0.745 (0.771)	Data 0.001 (0.002)	Loss 2.1671 (2.2241)	Prec@1 46.875 (44.124)	Prec@5 71.875 (74.741)
Epoch: [34][3760/14090]	Time 0.737 (0.771)	Data 0.001 (0.002)	Loss 2.2163 (2.2242)	Prec@1 46.094 (44.122)	Prec@5 76.562 (74.738)
Epoch: [34][3770/14090]	Time 0.912 (0.771)	Data 0.001 (0.002)	Loss 2.0609 (2.2242)	Prec@1 48.438 (44.125)	Prec@5 78.906 (74.739)
Epoch: [34][3780/14090]	Time 0.747 (0.771)	Data 0.001 (0.002)	Loss 2.3333 (2.2244)	Prec@1 46.094 (44.124)	Prec@5 76.562 (74.738)
Epoch: [34][3790/14090]	Time 0.734 (0.771)	Data 0.001 (0.002)	Loss 2.2973 (2.2242)	Prec@1 39.844 (44.123)	Prec@5 68.750 (74.741)
Epoch: [34][3800/14090]	Time 0.759 (0.771)	Data 0.001 (0.002)	Loss 2.0488 (2.2242)	Prec@1 43.750 (44.120)	Prec@5 78.125 (74.741)
Epoch: [34][3810/14090]	Time 0.761 (0.771)	Data 0.001 (0.002)	Loss 2.1034 (2.2244)	Prec@1 45.312 (44.116)	Prec@5 74.219 (74.738)
Epoch: [34][3820/14090]	Time 0.766 (0.771)	Data 0.001 (0.002)	Loss 2.2004 (2.2244)	Prec@1 42.969 (44.115)	Prec@5 74.219 (74.735)
Epoch: [34][3830/14090]	Time 0.788 (0.771)	Data 0.001 (0.002)	Loss 2.3065 (2.2245)	Prec@1 42.969 (44.112)	Prec@5 70.312 (74.734)
Epoch: [34][3840/14090]	Time 0.863 (0.771)	Data 0.001 (0.002)	Loss 2.1346 (2.2247)	Prec@1 46.094 (44.110)	Prec@5 78.125 (74.730)
Epoch: [34][3850/14090]	Time 0.734 (0.771)	Data 0.001 (0.002)	Loss 2.2262 (2.2247)	Prec@1 42.188 (44.109)	Prec@5 71.094 (74.729)
Epoch: [34][3860/14090]	Time 0.729 (0.771)	Data 0.001 (0.002)	Loss 2.5635 (2.2249)	Prec@1 35.938 (44.104)	Prec@5 71.875 (74.724)
Epoch: [34][3870/14090]	Time 0.722 (0.771)	Data 0.001 (0.002)	Loss 2.2992 (2.2249)	Prec@1 46.875 (44.109)	Prec@5 75.000 (74.726)
Epoch: [34][3880/14090]	Time 0.780 (0.771)	Data 0.001 (0.002)	Loss 2.3259 (2.2247)	Prec@1 47.656 (44.116)	Prec@5 76.562 (74.730)
Epoch: [34][3890/14090]	Time 0.755 (0.771)	Data 0.001 (0.002)	Loss 2.6088 (2.2248)	Prec@1 38.281 (44.114)	Prec@5 64.844 (74.726)
Epoch: [34][3900/14090]	Time 0.731 (0.771)	Data 0.001 (0.002)	Loss 2.2077 (2.2249)	Prec@1 46.094 (44.114)	Prec@5 69.531 (74.724)
Epoch: [34][3910/14090]	Time 0.914 (0.771)	Data 0.001 (0.002)	Loss 2.3353 (2.2252)	Prec@1 41.406 (44.109)	Prec@5 71.094 (74.716)
Epoch: [34][3920/14090]	Time 0.784 (0.771)	Data 0.001 (0.002)	Loss 1.9246 (2.2250)	Prec@1 50.781 (44.111)	Prec@5 78.125 (74.720)
Epoch: [34][3930/14090]	Time 0.748 (0.771)	Data 0.001 (0.002)	Loss 2.3978 (2.2251)	Prec@1 42.969 (44.112)	Prec@5 75.781 (74.720)
Epoch: [34][3940/14090]	Time 0.737 (0.771)	Data 0.001 (0.002)	Loss 2.2314 (2.2251)	Prec@1 37.500 (44.109)	Prec@5 74.219 (74.721)
Epoch: [34][3950/14090]	Time 0.758 (0.771)	Data 0.001 (0.002)	Loss 2.1858 (2.2248)	Prec@1 49.219 (44.116)	Prec@5 78.125 (74.726)
Epoch: [34][3960/14090]	Time 0.761 (0.771)	Data 0.001 (0.002)	Loss 2.3613 (2.2249)	Prec@1 42.969 (44.110)	Prec@5 76.562 (74.726)
Epoch: [34][3970/14090]	Time 0.733 (0.771)	Data 0.001 (0.002)	Loss 2.2667 (2.2249)	Prec@1 39.062 (44.108)	Prec@5 70.312 (74.724)
Epoch: [34][3980/14090]	Time 0.899 (0.771)	Data 0.001 (0.002)	Loss 2.1389 (2.2249)	Prec@1 42.969 (44.106)	Prec@5 78.125 (74.726)
Epoch: [34][3990/14090]	Time 0.756 (0.771)	Data 0.001 (0.002)	Loss 2.0944 (2.2248)	Prec@1 49.219 (44.111)	Prec@5 77.344 (74.729)
Epoch: [34][4000/14090]	Time 0.740 (0.771)	Data 0.001 (0.002)	Loss 2.3235 (2.2250)	Prec@1 39.062 (44.105)	Prec@5 72.656 (74.725)
Epoch: [34][4010/14090]	Time 0.732 (0.771)	Data 0.001 (0.002)	Loss 2.2648 (2.2249)	Prec@1 46.875 (44.110)	Prec@5 79.688 (74.728)
Epoch: [34][4020/14090]	Time 0.788 (0.771)	Data 0.001 (0.002)	Loss 2.2692 (2.2249)	Prec@1 42.969 (44.111)	Prec@5 73.438 (74.725)
Epoch: [34][4030/14090]	Time 0.760 (0.771)	Data 0.001 (0.002)	Loss 2.1946 (2.2250)	Prec@1 46.875 (44.112)	Prec@5 78.125 (74.725)
Epoch: [34][4040/14090]	Time 0.755 (0.771)	Data 0.001 (0.002)	Loss 2.1692 (2.2250)	Prec@1 41.406 (44.107)	Prec@5 74.219 (74.722)
Epoch: [34][4050/14090]	Time 0.861 (0.771)	Data 0.001 (0.002)	Loss 2.1687 (2.2252)	Prec@1 43.750 (44.102)	Prec@5 70.312 (74.720)
Epoch: [34][4060/14090]	Time 0.758 (0.771)	Data 0.001 (0.002)	Loss 2.3927 (2.2251)	Prec@1 42.969 (44.102)	Prec@5 74.219 (74.721)
Epoch: [34][4070/14090]	Time 0.749 (0.771)	Data 0.001 (0.002)	Loss 2.4705 (2.2253)	Prec@1 39.062 (44.100)	Prec@5 69.531 (74.716)
Epoch: [34][4080/14090]	Time 0.755 (0.771)	Data 0.001 (0.002)	Loss 2.3299 (2.2253)	Prec@1 48.438 (44.101)	Prec@5 71.875 (74.714)
Epoch: [34][4090/14090]	Time 0.742 (0.771)	Data 0.001 (0.002)	Loss 2.3417 (2.2256)	Prec@1 38.281 (44.098)	Prec@5 74.219 (74.708)
Epoch: [34][4100/14090]	Time 0.758 (0.771)	Data 0.001 (0.002)	Loss 2.2323 (2.2257)	Prec@1 45.312 (44.094)	Prec@5 75.000 (74.704)
Epoch: [34][4110/14090]	Time 0.734 (0.771)	Data 0.001 (0.002)	Loss 2.0747 (2.2255)	Prec@1 49.219 (44.095)	Prec@5 79.688 (74.709)
Epoch: [34][4120/14090]	Time 0.898 (0.771)	Data 0.001 (0.002)	Loss 2.1944 (2.2255)	Prec@1 43.750 (44.091)	Prec@5 72.656 (74.710)
Epoch: [34][4130/14090]	Time 0.734 (0.771)	Data 0.001 (0.002)	Loss 2.3713 (2.2256)	Prec@1 38.281 (44.086)	Prec@5 71.875 (74.710)
Epoch: [34][4140/14090]	Time 0.747 (0.771)	Data 0.001 (0.002)	Loss 2.5850 (2.2257)	Prec@1 40.625 (44.086)	Prec@5 71.875 (74.709)
Epoch: [34][4150/14090]	Time 0.740 (0.771)	Data 0.001 (0.002)	Loss 2.1431 (2.2259)	Prec@1 46.094 (44.083)	Prec@5 78.125 (74.707)
Epoch: [34][4160/14090]	Time 0.738 (0.771)	Data 0.001 (0.002)	Loss 2.1975 (2.2258)	Prec@1 44.531 (44.083)	Prec@5 69.531 (74.705)
Epoch: [34][4170/14090]	Time 0.765 (0.771)	Data 0.001 (0.002)	Loss 2.1514 (2.2257)	Prec@1 46.094 (44.085)	Prec@5 74.219 (74.705)
Epoch: [34][4180/14090]	Time 0.735 (0.771)	Data 0.001 (0.002)	Loss 2.0295 (2.2256)	Prec@1 49.219 (44.087)	Prec@5 82.031 (74.709)
Epoch: [34][4190/14090]	Time 0.880 (0.771)	Data 0.001 (0.002)	Loss 2.0912 (2.2256)	Prec@1 44.531 (44.089)	Prec@5 75.000 (74.710)
Epoch: [34][4200/14090]	Time 0.766 (0.771)	Data 0.001 (0.002)	Loss 2.1721 (2.2256)	Prec@1 39.844 (44.088)	Prec@5 80.469 (74.713)
Epoch: [34][4210/14090]	Time 0.761 (0.771)	Data 0.001 (0.002)	Loss 2.1055 (2.2258)	Prec@1 45.312 (44.084)	Prec@5 73.438 (74.709)
Epoch: [34][4220/14090]	Time 0.754 (0.771)	Data 0.001 (0.002)	Loss 2.5014 (2.2257)	Prec@1 39.844 (44.085)	Prec@5 66.406 (74.711)
Epoch: [34][4230/14090]	Time 0.748 (0.771)	Data 0.001 (0.002)	Loss 2.4469 (2.2257)	Prec@1 42.969 (44.087)	Prec@5 71.875 (74.709)
Epoch: [34][4240/14090]	Time 0.749 (0.771)	Data 0.001 (0.002)	Loss 2.4060 (2.2257)	Prec@1 39.062 (44.087)	Prec@5 76.562 (74.711)
Epoch: [34][4250/14090]	Time 0.736 (0.771)	Data 0.001 (0.002)	Loss 2.2628 (2.2257)	Prec@1 43.750 (44.083)	Prec@5 74.219 (74.712)
Epoch: [34][4260/14090]	Time 0.880 (0.771)	Data 0.001 (0.002)	Loss 2.2610 (2.2258)	Prec@1 41.406 (44.082)	Prec@5 74.219 (74.710)
Epoch: [34][4270/14090]	Time 0.750 (0.771)	Data 0.001 (0.002)	Loss 2.3055 (2.2257)	Prec@1 43.750 (44.086)	Prec@5 72.656 (74.712)
Epoch: [34][4280/14090]	Time 0.765 (0.771)	Data 0.001 (0.002)	Loss 2.1775 (2.2258)	Prec@1 48.438 (44.086)	Prec@5 75.000 (74.708)
Epoch: [34][4290/14090]	Time 0.741 (0.771)	Data 0.001 (0.002)	Loss 2.1534 (2.2261)	Prec@1 48.438 (44.080)	Prec@5 73.438 (74.703)
Epoch: [34][4300/14090]	Time 0.765 (0.771)	Data 0.001 (0.002)	Loss 1.9881 (2.2261)	Prec@1 51.562 (44.083)	Prec@5 80.469 (74.702)
Epoch: [34][4310/14090]	Time 0.743 (0.771)	Data 0.002 (0.002)	Loss 2.0349 (2.2260)	Prec@1 50.000 (44.090)	Prec@5 81.250 (74.701)
Epoch: [34][4320/14090]	Time 0.765 (0.771)	Data 0.001 (0.002)	Loss 2.2454 (2.2260)	Prec@1 52.344 (44.092)	Prec@5 75.000 (74.703)
Epoch: [34][4330/14090]	Time 0.851 (0.771)	Data 0.001 (0.002)	Loss 2.0187 (2.2260)	Prec@1 46.094 (44.088)	Prec@5 78.906 (74.704)
Epoch: [34][4340/14090]	Time 0.751 (0.771)	Data 0.001 (0.002)	Loss 2.2604 (2.2259)	Prec@1 38.281 (44.090)	Prec@5 71.094 (74.703)
Epoch: [34][4350/14090]	Time 0.756 (0.771)	Data 0.001 (0.002)	Loss 2.0104 (2.2257)	Prec@1 42.969 (44.092)	Prec@5 78.906 (74.707)
Epoch: [34][4360/14090]	Time 0.772 (0.771)	Data 0.001 (0.002)	Loss 2.4166 (2.2258)	Prec@1 34.375 (44.086)	Prec@5 67.969 (74.706)
Epoch: [34][4370/14090]	Time 0.756 (0.771)	Data 0.003 (0.002)	Loss 1.8642 (2.2257)	Prec@1 57.031 (44.086)	Prec@5 81.250 (74.709)
Epoch: [34][4380/14090]	Time 0.746 (0.771)	Data 0.001 (0.002)	Loss 2.2202 (2.2257)	Prec@1 42.969 (44.086)	Prec@5 77.344 (74.710)
Epoch: [34][4390/14090]	Time 0.738 (0.771)	Data 0.001 (0.002)	Loss 2.5221 (2.2257)	Prec@1 39.844 (44.085)	Prec@5 71.094 (74.711)
Epoch: [34][4400/14090]	Time 0.897 (0.771)	Data 0.001 (0.002)	Loss 2.3894 (2.2256)	Prec@1 39.062 (44.090)	Prec@5 71.094 (74.711)
Epoch: [34][4410/14090]	Time 0.760 (0.771)	Data 0.001 (0.002)	Loss 2.1705 (2.2256)	Prec@1 45.312 (44.090)	Prec@5 71.875 (74.711)
Epoch: [34][4420/14090]	Time 0.752 (0.771)	Data 0.001 (0.002)	Loss 2.6241 (2.2255)	Prec@1 34.375 (44.088)	Prec@5 70.312 (74.715)
Epoch: [34][4430/14090]	Time 0.724 (0.771)	Data 0.001 (0.002)	Loss 2.3589 (2.2256)	Prec@1 43.750 (44.089)	Prec@5 72.656 (74.712)
Epoch: [34][4440/14090]	Time 0.762 (0.771)	Data 0.001 (0.002)	Loss 2.2556 (2.2255)	Prec@1 41.406 (44.090)	Prec@5 74.219 (74.715)
Epoch: [34][4450/14090]	Time 0.731 (0.771)	Data 0.001 (0.002)	Loss 2.2387 (2.2256)	Prec@1 42.969 (44.089)	Prec@5 71.875 (74.714)
Epoch: [34][4460/14090]	Time 0.780 (0.771)	Data 0.001 (0.002)	Loss 2.2302 (2.2256)	Prec@1 42.188 (44.089)	Prec@5 78.906 (74.712)
Epoch: [34][4470/14090]	Time 0.911 (0.771)	Data 0.001 (0.002)	Loss 2.2431 (2.2257)	Prec@1 41.406 (44.086)	Prec@5 77.344 (74.711)
Epoch: [34][4480/14090]	Time 0.750 (0.771)	Data 0.001 (0.002)	Loss 2.4074 (2.2259)	Prec@1 46.094 (44.088)	Prec@5 71.094 (74.707)
Epoch: [34][4490/14090]	Time 0.731 (0.771)	Data 0.001 (0.002)	Loss 2.5405 (2.2259)	Prec@1 39.062 (44.087)	Prec@5 66.406 (74.705)
Epoch: [34][4500/14090]	Time 0.752 (0.771)	Data 0.001 (0.002)	Loss 2.2072 (2.2260)	Prec@1 42.969 (44.084)	Prec@5 72.656 (74.703)
Epoch: [34][4510/14090]	Time 0.769 (0.771)	Data 0.001 (0.002)	Loss 2.1687 (2.2262)	Prec@1 40.625 (44.083)	Prec@5 78.125 (74.701)
Epoch: [34][4520/14090]	Time 0.753 (0.771)	Data 0.001 (0.002)	Loss 2.2548 (2.2262)	Prec@1 48.438 (44.085)	Prec@5 75.781 (74.700)
Epoch: [34][4530/14090]	Time 0.742 (0.771)	Data 0.001 (0.002)	Loss 2.4109 (2.2263)	Prec@1 39.844 (44.081)	Prec@5 72.656 (74.697)
Epoch: [34][4540/14090]	Time 0.972 (0.771)	Data 0.001 (0.002)	Loss 2.3186 (2.2262)	Prec@1 38.281 (44.083)	Prec@5 75.000 (74.700)
Epoch: [34][4550/14090]	Time 0.736 (0.771)	Data 0.001 (0.002)	Loss 2.3942 (2.2262)	Prec@1 37.500 (44.083)	Prec@5 71.094 (74.700)
Epoch: [34][4560/14090]	Time 0.763 (0.771)	Data 0.001 (0.002)	Loss 1.9896 (2.2260)	Prec@1 46.875 (44.086)	Prec@5 79.688 (74.701)
Epoch: [34][4570/14090]	Time 0.758 (0.771)	Data 0.001 (0.002)	Loss 2.2821 (2.2262)	Prec@1 36.719 (44.082)	Prec@5 78.125 (74.700)
Epoch: [34][4580/14090]	Time 0.723 (0.771)	Data 0.001 (0.002)	Loss 2.3480 (2.2263)	Prec@1 41.406 (44.081)	Prec@5 73.438 (74.696)
Epoch: [34][4590/14090]	Time 0.776 (0.771)	Data 0.001 (0.002)	Loss 2.2875 (2.2263)	Prec@1 38.281 (44.083)	Prec@5 72.656 (74.696)
Epoch: [34][4600/14090]	Time 0.748 (0.771)	Data 0.001 (0.002)	Loss 2.0844 (2.2264)	Prec@1 50.000 (44.084)	Prec@5 81.250 (74.694)
Epoch: [34][4610/14090]	Time 0.834 (0.771)	Data 0.002 (0.002)	Loss 2.0416 (2.2261)	Prec@1 50.781 (44.089)	Prec@5 79.688 (74.700)
Epoch: [34][4620/14090]	Time 0.751 (0.771)	Data 0.001 (0.002)	Loss 2.1406 (2.2261)	Prec@1 49.219 (44.090)	Prec@5 73.438 (74.700)
Epoch: [34][4630/14090]	Time 0.767 (0.771)	Data 0.001 (0.002)	Loss 2.1966 (2.2262)	Prec@1 45.312 (44.089)	Prec@5 74.219 (74.700)
Epoch: [34][4640/14090]	Time 0.739 (0.771)	Data 0.001 (0.002)	Loss 2.1120 (2.2263)	Prec@1 39.062 (44.085)	Prec@5 76.562 (74.698)
Epoch: [34][4650/14090]	Time 0.772 (0.771)	Data 0.001 (0.002)	Loss 2.2254 (2.2264)	Prec@1 48.438 (44.087)	Prec@5 71.094 (74.698)
Epoch: [34][4660/14090]	Time 0.763 (0.771)	Data 0.001 (0.002)	Loss 2.2782 (2.2262)	Prec@1 44.531 (44.089)	Prec@5 75.000 (74.702)
Epoch: [34][4670/14090]	Time 0.774 (0.771)	Data 0.001 (0.002)	Loss 2.0381 (2.2263)	Prec@1 41.406 (44.086)	Prec@5 81.250 (74.704)
Epoch: [34][4680/14090]	Time 1.043 (0.771)	Data 0.001 (0.002)	Loss 2.2730 (2.2264)	Prec@1 39.062 (44.088)	Prec@5 67.969 (74.701)
Epoch: [34][4690/14090]	Time 0.777 (0.771)	Data 0.003 (0.002)	Loss 2.5276 (2.2265)	Prec@1 34.375 (44.084)	Prec@5 67.188 (74.697)
Epoch: [34][4700/14090]	Time 0.738 (0.771)	Data 0.001 (0.002)	Loss 2.2380 (2.2265)	Prec@1 46.094 (44.086)	Prec@5 75.000 (74.697)
Epoch: [34][4710/14090]	Time 0.771 (0.771)	Data 0.001 (0.002)	Loss 2.0888 (2.2264)	Prec@1 43.750 (44.089)	Prec@5 77.344 (74.697)
Epoch: [34][4720/14090]	Time 0.730 (0.771)	Data 0.001 (0.002)	Loss 2.3154 (2.2264)	Prec@1 47.656 (44.094)	Prec@5 74.219 (74.698)
Epoch: [34][4730/14090]	Time 0.765 (0.771)	Data 0.001 (0.002)	Loss 2.0139 (2.2263)	Prec@1 45.312 (44.095)	Prec@5 75.000 (74.698)
Epoch: [34][4740/14090]	Time 0.757 (0.771)	Data 0.001 (0.002)	Loss 2.1995 (2.2264)	Prec@1 42.188 (44.091)	Prec@5 72.656 (74.699)
Epoch: [34][4750/14090]	Time 0.832 (0.771)	Data 0.001 (0.002)	Loss 2.1142 (2.2265)	Prec@1 46.094 (44.090)	Prec@5 72.656 (74.696)
Epoch: [34][4760/14090]	Time 0.749 (0.771)	Data 0.001 (0.002)	Loss 2.2352 (2.2266)	Prec@1 42.188 (44.091)	Prec@5 75.781 (74.694)
Epoch: [34][4770/14090]	Time 0.726 (0.771)	Data 0.001 (0.002)	Loss 2.1939 (2.2265)	Prec@1 38.281 (44.094)	Prec@5 75.000 (74.696)
Epoch: [34][4780/14090]	Time 0.762 (0.771)	Data 0.001 (0.002)	Loss 2.1602 (2.2264)	Prec@1 42.969 (44.097)	Prec@5 76.562 (74.699)
Epoch: [34][4790/14090]	Time 0.765 (0.771)	Data 0.001 (0.002)	Loss 2.5320 (2.2264)	Prec@1 40.625 (44.100)	Prec@5 67.969 (74.701)
Epoch: [34][4800/14090]	Time 0.752 (0.771)	Data 0.001 (0.002)	Loss 2.2330 (2.2264)	Prec@1 39.062 (44.099)	Prec@5 75.000 (74.699)
Epoch: [34][4810/14090]	Time 0.744 (0.771)	Data 0.001 (0.002)	Loss 2.0635 (2.2266)	Prec@1 46.875 (44.096)	Prec@5 77.344 (74.695)
Epoch: [34][4820/14090]	Time 0.873 (0.771)	Data 0.001 (0.002)	Loss 2.1978 (2.2267)	Prec@1 48.438 (44.099)	Prec@5 78.906 (74.694)
Epoch: [34][4830/14090]	Time 0.723 (0.771)	Data 0.001 (0.002)	Loss 2.0815 (2.2268)	Prec@1 50.000 (44.100)	Prec@5 78.906 (74.694)
Epoch: [34][4840/14090]	Time 0.761 (0.771)	Data 0.001 (0.002)	Loss 2.0717 (2.2265)	Prec@1 43.750 (44.102)	Prec@5 75.781 (74.698)
Epoch: [34][4850/14090]	Time 0.748 (0.771)	Data 0.001 (0.002)	Loss 2.1713 (2.2264)	Prec@1 48.438 (44.106)	Prec@5 76.562 (74.700)
Epoch: [34][4860/14090]	Time 0.732 (0.771)	Data 0.001 (0.002)	Loss 2.1780 (2.2263)	Prec@1 53.906 (44.108)	Prec@5 75.781 (74.702)
Epoch: [34][4870/14090]	Time 0.735 (0.771)	Data 0.001 (0.002)	Loss 2.1503 (2.2263)	Prec@1 45.312 (44.112)	Prec@5 78.125 (74.702)
Epoch: [34][4880/14090]	Time 0.753 (0.771)	Data 0.001 (0.002)	Loss 2.1653 (2.2262)	Prec@1 45.312 (44.114)	Prec@5 74.219 (74.705)
Epoch: [34][4890/14090]	Time 0.896 (0.771)	Data 0.001 (0.002)	Loss 2.2975 (2.2264)	Prec@1 46.875 (44.113)	Prec@5 70.312 (74.704)
Epoch: [34][4900/14090]	Time 0.738 (0.771)	Data 0.001 (0.002)	Loss 2.0394 (2.2266)	Prec@1 46.094 (44.115)	Prec@5 76.562 (74.703)
Epoch: [34][4910/14090]	Time 0.745 (0.771)	Data 0.001 (0.002)	Loss 2.2253 (2.2267)	Prec@1 39.844 (44.111)	Prec@5 74.219 (74.699)
Epoch: [34][4920/14090]	Time 0.756 (0.771)	Data 0.001 (0.002)	Loss 2.4725 (2.2269)	Prec@1 35.938 (44.108)	Prec@5 70.312 (74.695)
Epoch: [34][4930/14090]	Time 0.735 (0.771)	Data 0.001 (0.002)	Loss 2.2502 (2.2269)	Prec@1 46.875 (44.108)	Prec@5 73.438 (74.695)
Epoch: [34][4940/14090]	Time 0.759 (0.771)	Data 0.001 (0.002)	Loss 2.2950 (2.2271)	Prec@1 39.062 (44.104)	Prec@5 75.781 (74.692)
Epoch: [34][4950/14090]	Time 0.729 (0.771)	Data 0.001 (0.002)	Loss 2.3275 (2.2270)	Prec@1 38.281 (44.107)	Prec@5 69.531 (74.693)
Epoch: [34][4960/14090]	Time 0.905 (0.771)	Data 0.001 (0.002)	Loss 2.4338 (2.2270)	Prec@1 40.625 (44.107)	Prec@5 68.750 (74.694)
Epoch: [34][4970/14090]	Time 0.777 (0.771)	Data 0.001 (0.002)	Loss 1.9217 (2.2269)	Prec@1 53.125 (44.105)	Prec@5 79.688 (74.694)
Epoch: [34][4980/14090]	Time 0.749 (0.771)	Data 0.001 (0.002)	Loss 2.2046 (2.2271)	Prec@1 50.000 (44.103)	Prec@5 76.562 (74.688)
Epoch: [34][4990/14090]	Time 0.766 (0.771)	Data 0.001 (0.002)	Loss 2.1650 (2.2271)	Prec@1 48.438 (44.102)	Prec@5 74.219 (74.686)
Epoch: [34][5000/14090]	Time 0.742 (0.771)	Data 0.001 (0.002)	Loss 2.1700 (2.2271)	Prec@1 54.688 (44.104)	Prec@5 75.000 (74.686)
Epoch: [34][5010/14090]	Time 0.754 (0.771)	Data 0.001 (0.002)	Loss 2.4012 (2.2270)	Prec@1 41.406 (44.106)	Prec@5 75.000 (74.685)
Epoch: [34][5020/14090]	Time 0.735 (0.771)	Data 0.001 (0.002)	Loss 2.2104 (2.2269)	Prec@1 43.750 (44.112)	Prec@5 76.562 (74.686)
Epoch: [34][5030/14090]	Time 0.858 (0.771)	Data 0.001 (0.002)	Loss 2.1518 (2.2269)	Prec@1 46.094 (44.113)	Prec@5 75.000 (74.686)
Epoch: [34][5040/14090]	Time 0.733 (0.771)	Data 0.001 (0.002)	Loss 2.2058 (2.2271)	Prec@1 48.438 (44.114)	Prec@5 76.562 (74.684)
Epoch: [34][5050/14090]	Time 0.753 (0.771)	Data 0.001 (0.002)	Loss 2.2136 (2.2270)	Prec@1 39.062 (44.112)	Prec@5 80.469 (74.684)
Epoch: [34][5060/14090]	Time 0.727 (0.771)	Data 0.001 (0.002)	Loss 2.1801 (2.2268)	Prec@1 48.438 (44.114)	Prec@5 71.875 (74.686)
Epoch: [34][5070/14090]	Time 0.743 (0.771)	Data 0.001 (0.002)	Loss 2.3096 (2.2269)	Prec@1 45.312 (44.111)	Prec@5 71.094 (74.684)
Epoch: [34][5080/14090]	Time 0.783 (0.771)	Data 0.001 (0.002)	Loss 2.2456 (2.2268)	Prec@1 42.969 (44.112)	Prec@5 72.656 (74.686)
Epoch: [34][5090/14090]	Time 0.749 (0.771)	Data 0.001 (0.002)	Loss 2.3424 (2.2269)	Prec@1 39.844 (44.110)	Prec@5 75.000 (74.685)
Epoch: [34][5100/14090]	Time 0.856 (0.771)	Data 0.001 (0.002)	Loss 2.1434 (2.2268)	Prec@1 43.750 (44.111)	Prec@5 78.906 (74.688)
Epoch: [34][5110/14090]	Time 0.729 (0.771)	Data 0.001 (0.002)	Loss 2.1200 (2.2268)	Prec@1 42.969 (44.110)	Prec@5 78.906 (74.688)
Epoch: [34][5120/14090]	Time 0.770 (0.771)	Data 0.001 (0.002)	Loss 2.3382 (2.2267)	Prec@1 43.750 (44.112)	Prec@5 70.312 (74.688)
Epoch: [34][5130/14090]	Time 0.755 (0.771)	Data 0.001 (0.002)	Loss 2.5441 (2.2267)	Prec@1 36.719 (44.114)	Prec@5 71.094 (74.688)
Epoch: [34][5140/14090]	Time 0.759 (0.771)	Data 0.001 (0.002)	Loss 2.0873 (2.2267)	Prec@1 49.219 (44.116)	Prec@5 75.781 (74.687)
Epoch: [34][5150/14090]	Time 0.745 (0.771)	Data 0.001 (0.002)	Loss 2.4070 (2.2267)	Prec@1 35.938 (44.112)	Prec@5 67.969 (74.687)
Epoch: [34][5160/14090]	Time 0.743 (0.771)	Data 0.001 (0.002)	Loss 2.3056 (2.2267)	Prec@1 37.500 (44.110)	Prec@5 75.781 (74.688)
Epoch: [34][5170/14090]	Time 0.877 (0.771)	Data 0.001 (0.002)	Loss 1.9617 (2.2266)	Prec@1 52.344 (44.113)	Prec@5 80.469 (74.690)
Epoch: [34][5180/14090]	Time 0.753 (0.771)	Data 0.002 (0.002)	Loss 2.3625 (2.2267)	Prec@1 38.281 (44.109)	Prec@5 76.562 (74.689)
Epoch: [34][5190/14090]	Time 0.775 (0.771)	Data 0.001 (0.002)	Loss 2.4149 (2.2267)	Prec@1 50.781 (44.108)	Prec@5 72.656 (74.688)
Epoch: [34][5200/14090]	Time 0.728 (0.771)	Data 0.001 (0.002)	Loss 2.3270 (2.2269)	Prec@1 35.156 (44.102)	Prec@5 74.219 (74.683)
Epoch: [34][5210/14090]	Time 0.729 (0.771)	Data 0.001 (0.002)	Loss 2.2666 (2.2269)	Prec@1 43.750 (44.100)	Prec@5 77.344 (74.683)
Epoch: [34][5220/14090]	Time 0.742 (0.771)	Data 0.001 (0.002)	Loss 2.4430 (2.2269)	Prec@1 39.062 (44.099)	Prec@5 71.094 (74.682)
Epoch: [34][5230/14090]	Time 0.729 (0.771)	Data 0.001 (0.002)	Loss 2.1161 (2.2269)	Prec@1 44.531 (44.101)	Prec@5 78.125 (74.682)
Epoch: [34][5240/14090]	Time 0.834 (0.771)	Data 0.001 (0.002)	Loss 2.6868 (2.2270)	Prec@1 35.938 (44.101)	Prec@5 69.531 (74.679)
Epoch: [34][5250/14090]	Time 0.767 (0.771)	Data 0.001 (0.002)	Loss 2.1872 (2.2271)	Prec@1 41.406 (44.098)	Prec@5 76.562 (74.679)
Epoch: [34][5260/14090]	Time 0.759 (0.771)	Data 0.001 (0.002)	Loss 2.3909 (2.2271)	Prec@1 41.406 (44.099)	Prec@5 72.656 (74.676)
Epoch: [34][5270/14090]	Time 0.745 (0.771)	Data 0.001 (0.002)	Loss 2.2730 (2.2272)	Prec@1 45.312 (44.100)	Prec@5 74.219 (74.675)
Epoch: [34][5280/14090]	Time 0.764 (0.771)	Data 0.001 (0.002)	Loss 2.1892 (2.2273)	Prec@1 46.094 (44.097)	Prec@5 76.562 (74.674)
Epoch: [34][5290/14090]	Time 0.757 (0.771)	Data 0.001 (0.002)	Loss 2.3023 (2.2275)	Prec@1 38.281 (44.092)	Prec@5 71.875 (74.672)
Epoch: [34][5300/14090]	Time 0.743 (0.771)	Data 0.001 (0.002)	Loss 2.3590 (2.2275)	Prec@1 38.281 (44.088)	Prec@5 73.438 (74.673)
Epoch: [34][5310/14090]	Time 0.836 (0.771)	Data 0.001 (0.002)	Loss 2.4030 (2.2274)	Prec@1 39.844 (44.089)	Prec@5 71.094 (74.671)
Epoch: [34][5320/14090]	Time 0.781 (0.771)	Data 0.001 (0.002)	Loss 1.9723 (2.2276)	Prec@1 50.000 (44.084)	Prec@5 76.562 (74.668)
Epoch: [34][5330/14090]	Time 0.734 (0.771)	Data 0.001 (0.002)	Loss 2.2078 (2.2276)	Prec@1 42.969 (44.084)	Prec@5 75.000 (74.666)
Epoch: [34][5340/14090]	Time 0.755 (0.771)	Data 0.001 (0.002)	Loss 2.3194 (2.2276)	Prec@1 41.406 (44.086)	Prec@5 71.094 (74.668)
Epoch: [34][5350/14090]	Time 0.742 (0.771)	Data 0.001 (0.002)	Loss 2.1309 (2.2274)	Prec@1 49.219 (44.092)	Prec@5 73.438 (74.670)
Epoch: [34][5360/14090]	Time 0.729 (0.771)	Data 0.001 (0.002)	Loss 2.0448 (2.2274)	Prec@1 42.969 (44.093)	Prec@5 77.344 (74.670)
Epoch: [34][5370/14090]	Time 0.765 (0.771)	Data 0.001 (0.002)	Loss 2.5022 (2.2276)	Prec@1 34.375 (44.088)	Prec@5 69.531 (74.669)
Epoch: [34][5380/14090]	Time 0.940 (0.771)	Data 0.001 (0.002)	Loss 2.1524 (2.2276)	Prec@1 42.188 (44.085)	Prec@5 78.906 (74.667)
Epoch: [34][5390/14090]	Time 0.755 (0.771)	Data 0.001 (0.002)	Loss 1.8935 (2.2276)	Prec@1 51.562 (44.088)	Prec@5 81.250 (74.669)
Epoch: [34][5400/14090]	Time 0.762 (0.771)	Data 0.001 (0.002)	Loss 2.2469 (2.2277)	Prec@1 38.281 (44.084)	Prec@5 72.656 (74.667)
Epoch: [34][5410/14090]	Time 0.759 (0.771)	Data 0.001 (0.002)	Loss 2.1393 (2.2278)	Prec@1 46.094 (44.082)	Prec@5 78.906 (74.665)
Epoch: [34][5420/14090]	Time 0.745 (0.771)	Data 0.001 (0.002)	Loss 2.1545 (2.2276)	Prec@1 39.062 (44.086)	Prec@5 75.000 (74.667)
Epoch: [34][5430/14090]	Time 0.762 (0.771)	Data 0.001 (0.002)	Loss 2.1104 (2.2276)	Prec@1 45.312 (44.086)	Prec@5 78.125 (74.667)
Epoch: [34][5440/14090]	Time 0.719 (0.771)	Data 0.001 (0.002)	Loss 2.3435 (2.2278)	Prec@1 39.062 (44.084)	Prec@5 74.219 (74.664)
Epoch: [34][5450/14090]	Time 0.938 (0.771)	Data 0.001 (0.002)	Loss 2.2227 (2.2278)	Prec@1 44.531 (44.087)	Prec@5 77.344 (74.664)
Epoch: [34][5460/14090]	Time 0.739 (0.771)	Data 0.001 (0.002)	Loss 2.0851 (2.2276)	Prec@1 45.312 (44.089)	Prec@5 76.562 (74.666)
Epoch: [34][5470/14090]	Time 0.730 (0.771)	Data 0.001 (0.002)	Loss 2.0985 (2.2278)	Prec@1 42.188 (44.082)	Prec@5 79.688 (74.665)
Epoch: [34][5480/14090]	Time 0.752 (0.771)	Data 0.001 (0.002)	Loss 1.9430 (2.2277)	Prec@1 51.562 (44.085)	Prec@5 78.125 (74.666)
Epoch: [34][5490/14090]	Time 0.782 (0.771)	Data 0.001 (0.002)	Loss 2.1680 (2.2278)	Prec@1 45.312 (44.083)	Prec@5 74.219 (74.665)
Epoch: [34][5500/14090]	Time 0.768 (0.771)	Data 0.001 (0.002)	Loss 1.8798 (2.2277)	Prec@1 42.969 (44.082)	Prec@5 82.031 (74.668)
Epoch: [34][5510/14090]	Time 0.755 (0.771)	Data 0.001 (0.002)	Loss 2.3257 (2.2278)	Prec@1 39.062 (44.078)	Prec@5 72.656 (74.669)
Epoch: [34][5520/14090]	Time 0.862 (0.771)	Data 0.001 (0.002)	Loss 2.3191 (2.2277)	Prec@1 38.281 (44.080)	Prec@5 74.219 (74.672)
Epoch: [34][5530/14090]	Time 0.756 (0.771)	Data 0.003 (0.002)	Loss 2.1216 (2.2278)	Prec@1 47.656 (44.079)	Prec@5 79.688 (74.671)
Epoch: [34][5540/14090]	Time 0.756 (0.771)	Data 0.002 (0.002)	Loss 2.2968 (2.2278)	Prec@1 39.062 (44.075)	Prec@5 72.656 (74.672)
Epoch: [34][5550/14090]	Time 0.719 (0.771)	Data 0.001 (0.002)	Loss 2.4656 (2.2279)	Prec@1 32.812 (44.073)	Prec@5 71.094 (74.671)
Epoch: [34][5560/14090]	Time 0.740 (0.771)	Data 0.001 (0.002)	Loss 2.1628 (2.2279)	Prec@1 45.312 (44.070)	Prec@5 74.219 (74.671)
Epoch: [34][5570/14090]	Time 0.757 (0.771)	Data 0.001 (0.002)	Loss 2.3063 (2.2280)	Prec@1 48.438 (44.075)	Prec@5 73.438 (74.670)
Epoch: [34][5580/14090]	Time 0.757 (0.771)	Data 0.001 (0.002)	Loss 2.2231 (2.2279)	Prec@1 44.531 (44.075)	Prec@5 71.875 (74.669)
Epoch: [34][5590/14090]	Time 0.867 (0.771)	Data 0.001 (0.002)	Loss 2.1275 (2.2280)	Prec@1 49.219 (44.073)	Prec@5 75.000 (74.670)
Epoch: [34][5600/14090]	Time 0.749 (0.771)	Data 0.001 (0.002)	Loss 2.3175 (2.2279)	Prec@1 42.969 (44.073)	Prec@5 74.219 (74.670)
Epoch: [34][5610/14090]	Time 0.759 (0.771)	Data 0.001 (0.002)	Loss 2.1694 (2.2278)	Prec@1 50.000 (44.077)	Prec@5 74.219 (74.671)
Epoch: [34][5620/14090]	Time 0.765 (0.771)	Data 0.001 (0.002)	Loss 2.1310 (2.2278)	Prec@1 47.656 (44.076)	Prec@5 75.000 (74.668)
Epoch: [34][5630/14090]	Time 0.739 (0.771)	Data 0.001 (0.002)	Loss 2.2420 (2.2278)	Prec@1 47.656 (44.078)	Prec@5 75.781 (74.666)
Epoch: [34][5640/14090]	Time 0.732 (0.771)	Data 0.001 (0.002)	Loss 2.3910 (2.2276)	Prec@1 42.188 (44.083)	Prec@5 70.312 (74.672)
Epoch: [34][5650/14090]	Time 0.757 (0.771)	Data 0.001 (0.002)	Loss 2.3979 (2.2275)	Prec@1 41.406 (44.082)	Prec@5 70.312 (74.675)
Epoch: [34][5660/14090]	Time 0.924 (0.771)	Data 0.001 (0.002)	Loss 2.0584 (2.2274)	Prec@1 48.438 (44.087)	Prec@5 78.906 (74.676)
Epoch: [34][5670/14090]	Time 0.758 (0.771)	Data 0.001 (0.002)	Loss 2.2223 (2.2273)	Prec@1 45.312 (44.091)	Prec@5 73.438 (74.677)
Epoch: [34][5680/14090]	Time 0.746 (0.771)	Data 0.001 (0.002)	Loss 1.9693 (2.2272)	Prec@1 50.000 (44.090)	Prec@5 79.688 (74.679)
Epoch: [34][5690/14090]	Time 0.749 (0.771)	Data 0.001 (0.002)	Loss 2.4770 (2.2272)	Prec@1 42.969 (44.089)	Prec@5 71.875 (74.680)
Epoch: [34][5700/14090]	Time 0.759 (0.771)	Data 0.001 (0.002)	Loss 2.0951 (2.2271)	Prec@1 44.531 (44.090)	Prec@5 78.906 (74.685)
Epoch: [34][5710/14090]	Time 0.759 (0.771)	Data 0.001 (0.002)	Loss 2.1913 (2.2272)	Prec@1 49.219 (44.087)	Prec@5 74.219 (74.682)
Epoch: [34][5720/14090]	Time 0.741 (0.771)	Data 0.001 (0.002)	Loss 2.4573 (2.2272)	Prec@1 39.844 (44.090)	Prec@5 70.312 (74.682)
Epoch: [34][5730/14090]	Time 0.874 (0.771)	Data 0.001 (0.002)	Loss 2.2700 (2.2272)	Prec@1 43.750 (44.091)	Prec@5 76.562 (74.682)
Epoch: [34][5740/14090]	Time 0.746 (0.771)	Data 0.001 (0.002)	Loss 1.9044 (2.2271)	Prec@1 49.219 (44.093)	Prec@5 85.156 (74.685)
Epoch: [34][5750/14090]	Time 0.756 (0.771)	Data 0.001 (0.002)	Loss 2.1823 (2.2271)	Prec@1 44.531 (44.095)	Prec@5 77.344 (74.685)
Epoch: [34][5760/14090]	Time 0.757 (0.771)	Data 0.001 (0.002)	Loss 2.1290 (2.2272)	Prec@1 48.438 (44.089)	Prec@5 78.125 (74.683)
Epoch: [34][5770/14090]	Time 0.759 (0.771)	Data 0.001 (0.002)	Loss 2.3562 (2.2272)	Prec@1 39.844 (44.088)	Prec@5 73.438 (74.683)
Epoch: [34][5780/14090]	Time 0.746 (0.771)	Data 0.001 (0.002)	Loss 2.1361 (2.2271)	Prec@1 46.094 (44.090)	Prec@5 77.344 (74.685)
Epoch: [34][5790/14090]	Time 0.762 (0.771)	Data 0.001 (0.002)	Loss 2.3497 (2.2271)	Prec@1 38.281 (44.090)	Prec@5 70.312 (74.683)
Epoch: [34][5800/14090]	Time 0.877 (0.771)	Data 0.001 (0.002)	Loss 2.0713 (2.2271)	Prec@1 46.875 (44.090)	Prec@5 78.125 (74.684)
Epoch: [34][5810/14090]	Time 0.740 (0.771)	Data 0.001 (0.002)	Loss 1.9454 (2.2270)	Prec@1 49.219 (44.091)	Prec@5 79.688 (74.686)
Epoch: [34][5820/14090]	Time 0.764 (0.771)	Data 0.002 (0.002)	Loss 2.2730 (2.2270)	Prec@1 43.750 (44.089)	Prec@5 68.750 (74.686)
Epoch: [34][5830/14090]	Time 0.746 (0.771)	Data 0.001 (0.002)	Loss 2.2628 (2.2270)	Prec@1 37.500 (44.088)	Prec@5 73.438 (74.686)
Epoch: [34][5840/14090]	Time 0.765 (0.771)	Data 0.001 (0.002)	Loss 2.4565 (2.2270)	Prec@1 41.406 (44.091)	Prec@5 66.406 (74.686)
Epoch: [34][5850/14090]	Time 0.760 (0.771)	Data 0.001 (0.002)	Loss 2.2823 (2.2270)	Prec@1 41.406 (44.089)	Prec@5 72.656 (74.687)
Epoch: [34][5860/14090]	Time 0.748 (0.771)	Data 0.001 (0.002)	Loss 2.4522 (2.2271)	Prec@1 35.938 (44.086)	Prec@5 74.219 (74.684)
Epoch: [34][5870/14090]	Time 0.857 (0.771)	Data 0.001 (0.002)	Loss 2.4335 (2.2271)	Prec@1 46.875 (44.085)	Prec@5 74.219 (74.684)
Epoch: [34][5880/14090]	Time 0.736 (0.771)	Data 0.001 (0.002)	Loss 2.6662 (2.2273)	Prec@1 37.500 (44.082)	Prec@5 69.531 (74.681)
Epoch: [34][5890/14090]	Time 0.749 (0.771)	Data 0.001 (0.002)	Loss 2.2123 (2.2272)	Prec@1 46.094 (44.085)	Prec@5 72.656 (74.685)
Epoch: [34][5900/14090]	Time 0.759 (0.771)	Data 0.001 (0.002)	Loss 2.2229 (2.2272)	Prec@1 39.844 (44.083)	Prec@5 77.344 (74.686)
Epoch: [34][5910/14090]	Time 0.778 (0.771)	Data 0.001 (0.002)	Loss 2.2621 (2.2272)	Prec@1 43.750 (44.087)	Prec@5 72.656 (74.684)
Epoch: [34][5920/14090]	Time 0.769 (0.771)	Data 0.001 (0.002)	Loss 2.1910 (2.2272)	Prec@1 41.406 (44.086)	Prec@5 75.781 (74.684)
Epoch: [34][5930/14090]	Time 0.740 (0.771)	Data 0.001 (0.002)	Loss 2.3658 (2.2271)	Prec@1 39.062 (44.090)	Prec@5 70.312 (74.684)
Epoch: [34][5940/14090]	Time 0.898 (0.771)	Data 0.001 (0.002)	Loss 2.4003 (2.2272)	Prec@1 35.938 (44.084)	Prec@5 74.219 (74.684)
Epoch: [34][5950/14090]	Time 0.727 (0.771)	Data 0.001 (0.002)	Loss 2.0425 (2.2272)	Prec@1 48.438 (44.080)	Prec@5 76.562 (74.684)
Epoch: [34][5960/14090]	Time 0.740 (0.771)	Data 0.001 (0.002)	Loss 2.1097 (2.2272)	Prec@1 46.875 (44.083)	Prec@5 76.562 (74.685)
Epoch: [34][5970/14090]	Time 0.726 (0.771)	Data 0.001 (0.002)	Loss 2.0232 (2.2272)	Prec@1 49.219 (44.080)	Prec@5 76.562 (74.685)
Epoch: [34][5980/14090]	Time 0.755 (0.771)	Data 0.001 (0.002)	Loss 2.2582 (2.2272)	Prec@1 47.656 (44.082)	Prec@5 73.438 (74.687)
Epoch: [34][5990/14090]	Time 0.755 (0.771)	Data 0.000 (0.002)	Loss 2.1085 (2.2272)	Prec@1 41.406 (44.083)	Prec@5 73.438 (74.686)
Epoch: [34][6000/14090]	Time 0.733 (0.771)	Data 0.001 (0.002)	Loss 2.3928 (2.2273)	Prec@1 42.188 (44.082)	Prec@5 70.312 (74.683)
Epoch: [34][6010/14090]	Time 0.903 (0.771)	Data 0.001 (0.002)	Loss 2.5155 (2.2273)	Prec@1 39.062 (44.081)	Prec@5 71.094 (74.682)
Epoch: [34][6020/14090]	Time 0.741 (0.771)	Data 0.001 (0.002)	Loss 2.0285 (2.2272)	Prec@1 49.219 (44.081)	Prec@5 81.250 (74.684)
Epoch: [34][6030/14090]	Time 0.754 (0.771)	Data 0.001 (0.002)	Loss 2.0425 (2.2272)	Prec@1 52.344 (44.084)	Prec@5 75.000 (74.685)
Epoch: [34][6040/14090]	Time 0.752 (0.771)	Data 0.001 (0.002)	Loss 2.0853 (2.2272)	Prec@1 46.094 (44.085)	Prec@5 77.344 (74.684)
Epoch: [34][6050/14090]	Time 0.759 (0.771)	Data 0.001 (0.002)	Loss 2.0768 (2.2271)	Prec@1 48.438 (44.086)	Prec@5 78.125 (74.683)
Epoch: [34][6060/14090]	Time 0.770 (0.771)	Data 0.001 (0.002)	Loss 2.1550 (2.2271)	Prec@1 50.000 (44.088)	Prec@5 75.781 (74.685)
Epoch: [34][6070/14090]	Time 0.734 (0.771)	Data 0.001 (0.002)	Loss 2.1608 (2.2270)	Prec@1 47.656 (44.093)	Prec@5 73.438 (74.686)
Epoch: [34][6080/14090]	Time 0.940 (0.771)	Data 0.001 (0.002)	Loss 2.2467 (2.2272)	Prec@1 42.969 (44.087)	Prec@5 71.094 (74.680)
Epoch: [34][6090/14090]	Time 0.748 (0.771)	Data 0.001 (0.002)	Loss 2.1969 (2.2272)	Prec@1 41.406 (44.087)	Prec@5 76.562 (74.681)
Epoch: [34][6100/14090]	Time 0.730 (0.771)	Data 0.001 (0.002)	Loss 2.1302 (2.2271)	Prec@1 42.188 (44.085)	Prec@5 75.781 (74.682)
Epoch: [34][6110/14090]	Time 0.759 (0.771)	Data 0.001 (0.002)	Loss 2.2013 (2.2271)	Prec@1 40.625 (44.084)	Prec@5 71.094 (74.681)
Epoch: [34][6120/14090]	Time 0.753 (0.771)	Data 0.001 (0.002)	Loss 2.2075 (2.2272)	Prec@1 39.062 (44.082)	Prec@5 74.219 (74.680)
Epoch: [34][6130/14090]	Time 0.726 (0.771)	Data 0.001 (0.002)	Loss 2.2585 (2.2272)	Prec@1 39.844 (44.082)	Prec@5 74.219 (74.680)
Epoch: [34][6140/14090]	Time 0.752 (0.771)	Data 0.001 (0.002)	Loss 2.3657 (2.2273)	Prec@1 41.406 (44.076)	Prec@5 71.875 (74.678)
Epoch: [34][6150/14090]	Time 0.853 (0.771)	Data 0.001 (0.002)	Loss 2.2037 (2.2273)	Prec@1 44.531 (44.075)	Prec@5 73.438 (74.679)
Epoch: [34][6160/14090]	Time 0.739 (0.771)	Data 0.001 (0.002)	Loss 2.1938 (2.2274)	Prec@1 39.062 (44.072)	Prec@5 82.031 (74.678)
Epoch: [34][6170/14090]	Time 0.742 (0.771)	Data 0.001 (0.002)	Loss 2.3252 (2.2275)	Prec@1 46.094 (44.072)	Prec@5 72.656 (74.677)
Epoch: [34][6180/14090]	Time 0.790 (0.771)	Data 0.001 (0.002)	Loss 2.2228 (2.2275)	Prec@1 42.969 (44.069)	Prec@5 71.875 (74.678)
Epoch: [34][6190/14090]	Time 0.756 (0.771)	Data 0.001 (0.002)	Loss 2.0535 (2.2276)	Prec@1 46.875 (44.067)	Prec@5 80.469 (74.676)
Epoch: [34][6200/14090]	Time 0.750 (0.771)	Data 0.001 (0.002)	Loss 2.3463 (2.2277)	Prec@1 42.969 (44.063)	Prec@5 70.312 (74.673)
Epoch: [34][6210/14090]	Time 0.727 (0.771)	Data 0.001 (0.002)	Loss 2.2583 (2.2276)	Prec@1 39.844 (44.063)	Prec@5 71.094 (74.672)
Epoch: [34][6220/14090]	Time 0.906 (0.771)	Data 0.001 (0.002)	Loss 2.6205 (2.2277)	Prec@1 34.375 (44.063)	Prec@5 66.406 (74.668)
Epoch: [34][6230/14090]	Time 0.753 (0.771)	Data 0.001 (0.002)	Loss 2.5501 (2.2278)	Prec@1 44.531 (44.063)	Prec@5 67.969 (74.667)
Epoch: [34][6240/14090]	Time 0.738 (0.771)	Data 0.001 (0.002)	Loss 2.3997 (2.2277)	Prec@1 39.844 (44.062)	Prec@5 70.312 (74.669)
Epoch: [34][6250/14090]	Time 0.734 (0.771)	Data 0.001 (0.002)	Loss 2.4221 (2.2277)	Prec@1 42.969 (44.065)	Prec@5 72.656 (74.668)
Epoch: [34][6260/14090]	Time 0.742 (0.771)	Data 0.002 (0.002)	Loss 2.1621 (2.2278)	Prec@1 40.625 (44.062)	Prec@5 74.219 (74.665)
Epoch: [34][6270/14090]	Time 0.771 (0.771)	Data 0.001 (0.002)	Loss 2.5074 (2.2278)	Prec@1 43.750 (44.064)	Prec@5 67.969 (74.663)
Epoch: [34][6280/14090]	Time 0.767 (0.771)	Data 0.001 (0.002)	Loss 2.3882 (2.2279)	Prec@1 41.406 (44.061)	Prec@5 68.750 (74.661)
Epoch: [34][6290/14090]	Time 0.814 (0.771)	Data 0.001 (0.002)	Loss 2.1281 (2.2280)	Prec@1 47.656 (44.061)	Prec@5 73.438 (74.659)
Epoch: [34][6300/14090]	Time 0.743 (0.771)	Data 0.001 (0.002)	Loss 2.4397 (2.2280)	Prec@1 39.844 (44.057)	Prec@5 70.312 (74.658)
Epoch: [34][6310/14090]	Time 0.777 (0.771)	Data 0.001 (0.002)	Loss 2.3666 (2.2282)	Prec@1 40.625 (44.053)	Prec@5 74.219 (74.655)
Epoch: [34][6320/14090]	Time 0.749 (0.771)	Data 0.001 (0.002)	Loss 1.9651 (2.2280)	Prec@1 53.125 (44.055)	Prec@5 80.469 (74.658)
Epoch: [34][6330/14090]	Time 0.756 (0.771)	Data 0.001 (0.002)	Loss 2.0022 (2.2279)	Prec@1 48.438 (44.056)	Prec@5 75.000 (74.660)
Epoch: [34][6340/14090]	Time 0.729 (0.771)	Data 0.001 (0.002)	Loss 2.0459 (2.2279)	Prec@1 45.312 (44.056)	Prec@5 79.688 (74.659)
Epoch: [34][6350/14090]	Time 0.730 (0.771)	Data 0.001 (0.002)	Loss 2.0830 (2.2280)	Prec@1 46.094 (44.055)	Prec@5 75.781 (74.658)
Epoch: [34][6360/14090]	Time 0.908 (0.771)	Data 0.001 (0.002)	Loss 2.3419 (2.2279)	Prec@1 49.219 (44.055)	Prec@5 75.781 (74.659)
Epoch: [34][6370/14090]	Time 0.741 (0.771)	Data 0.001 (0.002)	Loss 2.3585 (2.2278)	Prec@1 40.625 (44.057)	Prec@5 76.562 (74.662)
Epoch: [34][6380/14090]	Time 0.731 (0.771)	Data 0.001 (0.002)	Loss 2.4932 (2.2279)	Prec@1 39.062 (44.056)	Prec@5 64.844 (74.658)
Epoch: [34][6390/14090]	Time 0.754 (0.771)	Data 0.001 (0.002)	Loss 2.3543 (2.2280)	Prec@1 42.969 (44.057)	Prec@5 67.969 (74.657)
Epoch: [34][6400/14090]	Time 0.732 (0.771)	Data 0.001 (0.002)	Loss 2.4505 (2.2279)	Prec@1 34.375 (44.059)	Prec@5 69.531 (74.659)
Epoch: [34][6410/14090]	Time 0.737 (0.771)	Data 0.001 (0.002)	Loss 2.4736 (2.2278)	Prec@1 41.406 (44.062)	Prec@5 70.312 (74.662)
Epoch: [34][6420/14090]	Time 0.729 (0.771)	Data 0.001 (0.002)	Loss 2.1434 (2.2278)	Prec@1 49.219 (44.062)	Prec@5 77.344 (74.662)
Epoch: [34][6430/14090]	Time 0.988 (0.771)	Data 0.001 (0.002)	Loss 2.0581 (2.2277)	Prec@1 43.750 (44.062)	Prec@5 82.031 (74.665)
Epoch: [34][6440/14090]	Time 0.737 (0.771)	Data 0.001 (0.002)	Loss 2.3218 (2.2278)	Prec@1 42.188 (44.060)	Prec@5 71.094 (74.663)
Epoch: [34][6450/14090]	Time 0.765 (0.771)	Data 0.001 (0.002)	Loss 2.3563 (2.2279)	Prec@1 38.281 (44.057)	Prec@5 71.875 (74.662)
Epoch: [34][6460/14090]	Time 0.780 (0.771)	Data 0.001 (0.002)	Loss 1.9537 (2.2279)	Prec@1 49.219 (44.058)	Prec@5 78.906 (74.660)
Epoch: [34][6470/14090]	Time 0.732 (0.771)	Data 0.001 (0.002)	Loss 2.1543 (2.2279)	Prec@1 50.000 (44.061)	Prec@5 76.562 (74.661)
Epoch: [34][6480/14090]	Time 0.751 (0.771)	Data 0.001 (0.002)	Loss 2.2707 (2.2278)	Prec@1 45.312 (44.064)	Prec@5 72.656 (74.664)
Epoch: [34][6490/14090]	Time 0.737 (0.771)	Data 0.001 (0.002)	Loss 2.3093 (2.2278)	Prec@1 46.094 (44.066)	Prec@5 74.219 (74.666)
Epoch: [34][6500/14090]	Time 0.889 (0.771)	Data 0.001 (0.002)	Loss 2.2019 (2.2278)	Prec@1 44.531 (44.066)	Prec@5 75.781 (74.667)
Epoch: [34][6510/14090]	Time 0.745 (0.771)	Data 0.001 (0.002)	Loss 2.2739 (2.2278)	Prec@1 44.531 (44.066)	Prec@5 72.656 (74.667)
Epoch: [34][6520/14090]	Time 0.748 (0.771)	Data 0.001 (0.002)	Loss 2.2384 (2.2279)	Prec@1 45.312 (44.062)	Prec@5 72.656 (74.664)
Epoch: [34][6530/14090]	Time 0.728 (0.771)	Data 0.001 (0.002)	Loss 2.6097 (2.2279)	Prec@1 35.938 (44.064)	Prec@5 64.844 (74.663)
Epoch: [34][6540/14090]	Time 0.746 (0.771)	Data 0.001 (0.002)	Loss 2.0892 (2.2279)	Prec@1 48.438 (44.064)	Prec@5 80.469 (74.664)
Epoch: [34][6550/14090]	Time 0.746 (0.771)	Data 0.001 (0.002)	Loss 2.3433 (2.2280)	Prec@1 39.844 (44.062)	Prec@5 67.969 (74.662)
Epoch: [34][6560/14090]	Time 0.778 (0.771)	Data 0.001 (0.002)	Loss 1.9203 (2.2280)	Prec@1 50.781 (44.061)	Prec@5 78.125 (74.658)
Epoch: [34][6570/14090]	Time 0.871 (0.771)	Data 0.001 (0.002)	Loss 2.3710 (2.2280)	Prec@1 44.531 (44.061)	Prec@5 75.000 (74.660)
Epoch: [34][6580/14090]	Time 0.748 (0.771)	Data 0.001 (0.002)	Loss 2.4722 (2.2280)	Prec@1 35.156 (44.058)	Prec@5 71.094 (74.659)
Epoch: [34][6590/14090]	Time 0.747 (0.771)	Data 0.001 (0.002)	Loss 2.3697 (2.2280)	Prec@1 42.969 (44.059)	Prec@5 71.875 (74.658)
Epoch: [34][6600/14090]	Time 0.733 (0.771)	Data 0.001 (0.002)	Loss 2.1566 (2.2279)	Prec@1 46.094 (44.061)	Prec@5 78.906 (74.661)
Epoch: [34][6610/14090]	Time 0.736 (0.771)	Data 0.001 (0.002)	Loss 2.2312 (2.2280)	Prec@1 41.406 (44.062)	Prec@5 74.219 (74.660)
Epoch: [34][6620/14090]	Time 0.734 (0.771)	Data 0.001 (0.002)	Loss 2.3813 (2.2281)	Prec@1 34.375 (44.059)	Prec@5 73.438 (74.659)
Epoch: [34][6630/14090]	Time 0.755 (0.771)	Data 0.001 (0.002)	Loss 2.2396 (2.2280)	Prec@1 43.750 (44.057)	Prec@5 78.125 (74.662)
Epoch: [34][6640/14090]	Time 0.910 (0.771)	Data 0.001 (0.002)	Loss 2.0957 (2.2281)	Prec@1 50.000 (44.055)	Prec@5 72.656 (74.660)
Epoch: [34][6650/14090]	Time 0.754 (0.771)	Data 0.003 (0.002)	Loss 2.4763 (2.2280)	Prec@1 35.156 (44.057)	Prec@5 69.531 (74.662)
Epoch: [34][6660/14090]	Time 0.738 (0.771)	Data 0.001 (0.002)	Loss 2.1250 (2.2280)	Prec@1 43.750 (44.056)	Prec@5 74.219 (74.660)
Epoch: [34][6670/14090]	Time 0.770 (0.771)	Data 0.004 (0.002)	Loss 2.1753 (2.2280)	Prec@1 42.969 (44.055)	Prec@5 73.438 (74.658)
Epoch: [34][6680/14090]	Time 0.740 (0.771)	Data 0.001 (0.002)	Loss 2.1525 (2.2279)	Prec@1 46.875 (44.055)	Prec@5 75.781 (74.661)
Epoch: [34][6690/14090]	Time 0.745 (0.771)	Data 0.001 (0.002)	Loss 2.2611 (2.2279)	Prec@1 44.531 (44.056)	Prec@5 71.875 (74.660)
Epoch: [34][6700/14090]	Time 0.724 (0.771)	Data 0.001 (0.002)	Loss 2.5256 (2.2280)	Prec@1 35.938 (44.054)	Prec@5 70.312 (74.659)
Epoch: [34][6710/14090]	Time 0.872 (0.771)	Data 0.001 (0.002)	Loss 2.0776 (2.2279)	Prec@1 50.000 (44.056)	Prec@5 75.000 (74.660)
Epoch: [34][6720/14090]	Time 0.729 (0.770)	Data 0.001 (0.002)	Loss 2.2116 (2.2279)	Prec@1 46.875 (44.055)	Prec@5 78.125 (74.660)
Epoch: [34][6730/14090]	Time 0.754 (0.770)	Data 0.001 (0.002)	Loss 2.0868 (2.2278)	Prec@1 48.438 (44.058)	Prec@5 78.125 (74.661)
Epoch: [34][6740/14090]	Time 0.745 (0.771)	Data 0.001 (0.002)	Loss 2.0849 (2.2279)	Prec@1 46.094 (44.057)	Prec@5 77.344 (74.658)
Epoch: [34][6750/14090]	Time 0.780 (0.770)	Data 0.001 (0.002)	Loss 2.1503 (2.2279)	Prec@1 49.219 (44.058)	Prec@5 77.344 (74.658)
Epoch: [34][6760/14090]	Time 0.725 (0.770)	Data 0.001 (0.002)	Loss 1.8749 (2.2278)	Prec@1 49.219 (44.060)	Prec@5 78.906 (74.660)
Epoch: [34][6770/14090]	Time 0.734 (0.770)	Data 0.001 (0.002)	Loss 2.2978 (2.2277)	Prec@1 42.969 (44.060)	Prec@5 71.094 (74.662)
Epoch: [34][6780/14090]	Time 0.878 (0.770)	Data 0.001 (0.002)	Loss 2.5141 (2.2278)	Prec@1 36.719 (44.058)	Prec@5 68.750 (74.663)
Epoch: [34][6790/14090]	Time 0.741 (0.770)	Data 0.001 (0.002)	Loss 2.3041 (2.2279)	Prec@1 44.531 (44.054)	Prec@5 76.562 (74.662)
Epoch: [34][6800/14090]	Time 0.752 (0.770)	Data 0.001 (0.002)	Loss 2.2775 (2.2278)	Prec@1 39.844 (44.059)	Prec@5 75.000 (74.665)
Epoch: [34][6810/14090]	Time 0.783 (0.770)	Data 0.001 (0.002)	Loss 2.4886 (2.2278)	Prec@1 40.625 (44.059)	Prec@5 68.750 (74.664)
Epoch: [34][6820/14090]	Time 0.726 (0.770)	Data 0.002 (0.002)	Loss 1.9915 (2.2277)	Prec@1 46.094 (44.061)	Prec@5 80.469 (74.667)
Epoch: [34][6830/14090]	Time 0.739 (0.770)	Data 0.001 (0.002)	Loss 2.1007 (2.2275)	Prec@1 46.875 (44.065)	Prec@5 80.469 (74.671)
Epoch: [34][6840/14090]	Time 0.732 (0.770)	Data 0.001 (0.002)	Loss 2.3683 (2.2276)	Prec@1 41.406 (44.062)	Prec@5 72.656 (74.668)
Epoch: [34][6850/14090]	Time 0.870 (0.770)	Data 0.001 (0.002)	Loss 2.3906 (2.2277)	Prec@1 45.312 (44.061)	Prec@5 69.531 (74.670)
Epoch: [34][6860/14090]	Time 0.731 (0.770)	Data 0.001 (0.002)	Loss 2.2160 (2.2277)	Prec@1 41.406 (44.061)	Prec@5 77.344 (74.671)
Epoch: [34][6870/14090]	Time 0.781 (0.770)	Data 0.002 (0.002)	Loss 2.1788 (2.2278)	Prec@1 47.656 (44.059)	Prec@5 78.125 (74.668)
Epoch: [34][6880/14090]	Time 0.765 (0.770)	Data 0.001 (0.002)	Loss 2.3022 (2.2279)	Prec@1 46.875 (44.058)	Prec@5 77.344 (74.666)
Epoch: [34][6890/14090]	Time 0.747 (0.770)	Data 0.001 (0.002)	Loss 2.1864 (2.2278)	Prec@1 39.062 (44.060)	Prec@5 80.469 (74.669)
Epoch: [34][6900/14090]	Time 0.761 (0.771)	Data 0.001 (0.002)	Loss 2.0339 (2.2278)	Prec@1 46.875 (44.062)	Prec@5 80.469 (74.670)
Epoch: [34][6910/14090]	Time 0.742 (0.770)	Data 0.001 (0.002)	Loss 2.2001 (2.2278)	Prec@1 38.281 (44.061)	Prec@5 73.438 (74.671)
Epoch: [34][6920/14090]	Time 0.897 (0.771)	Data 0.001 (0.002)	Loss 2.0228 (2.2277)	Prec@1 48.438 (44.064)	Prec@5 81.250 (74.671)
Epoch: [34][6930/14090]	Time 0.752 (0.771)	Data 0.001 (0.002)	Loss 2.2036 (2.2277)	Prec@1 49.219 (44.066)	Prec@5 73.438 (74.670)
Epoch: [34][6940/14090]	Time 0.726 (0.770)	Data 0.001 (0.002)	Loss 2.3156 (2.2277)	Prec@1 50.000 (44.068)	Prec@5 71.875 (74.670)
Epoch: [34][6950/14090]	Time 0.741 (0.770)	Data 0.001 (0.002)	Loss 2.4254 (2.2278)	Prec@1 39.844 (44.064)	Prec@5 75.781 (74.668)
Epoch: [34][6960/14090]	Time 0.768 (0.770)	Data 0.001 (0.002)	Loss 2.3567 (2.2277)	Prec@1 39.844 (44.067)	Prec@5 71.875 (74.671)
Epoch: [34][6970/14090]	Time 0.764 (0.771)	Data 0.001 (0.002)	Loss 2.3943 (2.2277)	Prec@1 38.281 (44.066)	Prec@5 74.219 (74.673)
Epoch: [34][6980/14090]	Time 0.759 (0.770)	Data 0.001 (0.002)	Loss 2.1554 (2.2277)	Prec@1 50.000 (44.067)	Prec@5 76.562 (74.673)
Epoch: [34][6990/14090]	Time 0.866 (0.770)	Data 0.002 (0.002)	Loss 2.1579 (2.2276)	Prec@1 47.656 (44.069)	Prec@5 76.562 (74.671)
Epoch: [34][7000/14090]	Time 0.728 (0.770)	Data 0.001 (0.002)	Loss 2.1956 (2.2276)	Prec@1 46.875 (44.070)	Prec@5 74.219 (74.672)
Epoch: [34][7010/14090]	Time 0.736 (0.770)	Data 0.001 (0.002)	Loss 2.1943 (2.2277)	Prec@1 50.000 (44.069)	Prec@5 74.219 (74.671)
Epoch: [34][7020/14090]	Time 0.757 (0.770)	Data 0.001 (0.002)	Loss 1.9629 (2.2275)	Prec@1 50.000 (44.075)	Prec@5 80.469 (74.674)
Epoch: [34][7030/14090]	Time 0.756 (0.770)	Data 0.001 (0.002)	Loss 1.9688 (2.2275)	Prec@1 48.438 (44.076)	Prec@5 78.906 (74.673)
Epoch: [34][7040/14090]	Time 0.721 (0.770)	Data 0.001 (0.002)	Loss 2.0942 (2.2274)	Prec@1 53.906 (44.080)	Prec@5 76.562 (74.677)
Epoch: [34][7050/14090]	Time 0.776 (0.770)	Data 0.001 (0.002)	Loss 2.4436 (2.2276)	Prec@1 42.188 (44.076)	Prec@5 66.406 (74.675)
Epoch: [34][7060/14090]	Time 0.885 (0.770)	Data 0.001 (0.002)	Loss 2.0948 (2.2277)	Prec@1 47.656 (44.074)	Prec@5 77.344 (74.672)
Epoch: [34][7070/14090]	Time 0.742 (0.770)	Data 0.001 (0.002)	Loss 2.1487 (2.2277)	Prec@1 40.625 (44.072)	Prec@5 74.219 (74.671)
Epoch: [34][7080/14090]	Time 0.761 (0.770)	Data 0.001 (0.002)	Loss 2.3560 (2.2278)	Prec@1 45.312 (44.073)	Prec@5 71.094 (74.668)
Epoch: [34][7090/14090]	Time 0.732 (0.770)	Data 0.002 (0.002)	Loss 2.3368 (2.2278)	Prec@1 40.625 (44.070)	Prec@5 73.438 (74.667)
Epoch: [34][7100/14090]	Time 0.738 (0.770)	Data 0.001 (0.002)	Loss 2.1035 (2.2278)	Prec@1 46.875 (44.072)	Prec@5 78.125 (74.670)
Epoch: [34][7110/14090]	Time 0.760 (0.770)	Data 0.001 (0.002)	Loss 2.7038 (2.2279)	Prec@1 33.594 (44.072)	Prec@5 67.969 (74.668)
Epoch: [34][7120/14090]	Time 0.778 (0.770)	Data 0.001 (0.002)	Loss 2.5604 (2.2279)	Prec@1 31.250 (44.072)	Prec@5 68.750 (74.669)
Epoch: [34][7130/14090]	Time 0.857 (0.770)	Data 0.001 (0.002)	Loss 2.4455 (2.2279)	Prec@1 46.875 (44.070)	Prec@5 75.000 (74.668)
Epoch: [34][7140/14090]	Time 0.756 (0.770)	Data 0.001 (0.002)	Loss 2.3729 (2.2279)	Prec@1 38.281 (44.071)	Prec@5 71.875 (74.669)
Epoch: [34][7150/14090]	Time 0.753 (0.770)	Data 0.001 (0.002)	Loss 2.0178 (2.2279)	Prec@1 49.219 (44.067)	Prec@5 82.812 (74.672)
Epoch: [34][7160/14090]	Time 0.760 (0.770)	Data 0.001 (0.002)	Loss 2.0507 (2.2279)	Prec@1 51.562 (44.069)	Prec@5 78.125 (74.671)
Epoch: [34][7170/14090]	Time 0.779 (0.770)	Data 0.001 (0.002)	Loss 1.9308 (2.2278)	Prec@1 49.219 (44.070)	Prec@5 82.812 (74.673)
Epoch: [34][7180/14090]	Time 0.745 (0.770)	Data 0.001 (0.002)	Loss 2.1343 (2.2277)	Prec@1 46.094 (44.071)	Prec@5 76.562 (74.674)
Epoch: [34][7190/14090]	Time 0.755 (0.770)	Data 0.001 (0.002)	Loss 2.1528 (2.2278)	Prec@1 39.062 (44.067)	Prec@5 76.562 (74.674)
Epoch: [34][7200/14090]	Time 0.848 (0.770)	Data 0.001 (0.002)	Loss 2.0280 (2.2278)	Prec@1 50.781 (44.070)	Prec@5 82.031 (74.675)
Epoch: [34][7210/14090]	Time 0.774 (0.770)	Data 0.001 (0.002)	Loss 2.1110 (2.2278)	Prec@1 46.875 (44.069)	Prec@5 78.125 (74.677)
Epoch: [34][7220/14090]	Time 0.758 (0.770)	Data 0.001 (0.002)	Loss 2.0343 (2.2277)	Prec@1 42.969 (44.071)	Prec@5 77.344 (74.678)
Epoch: [34][7230/14090]	Time 0.773 (0.770)	Data 0.001 (0.002)	Loss 2.1435 (2.2278)	Prec@1 41.406 (44.068)	Prec@5 73.438 (74.676)
Epoch: [34][7240/14090]	Time 0.775 (0.770)	Data 0.001 (0.002)	Loss 2.2713 (2.2278)	Prec@1 38.281 (44.069)	Prec@5 78.125 (74.677)
Epoch: [34][7250/14090]	Time 0.746 (0.770)	Data 0.001 (0.002)	Loss 2.0947 (2.2278)	Prec@1 51.562 (44.069)	Prec@5 76.562 (74.676)
Epoch: [34][7260/14090]	Time 0.772 (0.770)	Data 0.001 (0.002)	Loss 2.4533 (2.2279)	Prec@1 37.500 (44.067)	Prec@5 74.219 (74.675)
Epoch: [34][7270/14090]	Time 0.873 (0.770)	Data 0.001 (0.002)	Loss 2.2938 (2.2280)	Prec@1 46.875 (44.066)	Prec@5 71.875 (74.673)
Epoch: [34][7280/14090]	Time 0.750 (0.770)	Data 0.001 (0.002)	Loss 2.6106 (2.2281)	Prec@1 29.688 (44.061)	Prec@5 68.750 (74.672)
Epoch: [34][7290/14090]	Time 0.737 (0.770)	Data 0.001 (0.002)	Loss 2.2944 (2.2281)	Prec@1 41.406 (44.064)	Prec@5 75.781 (74.673)
Epoch: [34][7300/14090]	Time 0.783 (0.770)	Data 0.001 (0.002)	Loss 2.2600 (2.2280)	Prec@1 42.188 (44.066)	Prec@5 72.656 (74.673)
Epoch: [34][7310/14090]	Time 0.730 (0.770)	Data 0.001 (0.002)	Loss 2.3325 (2.2281)	Prec@1 38.281 (44.062)	Prec@5 71.875 (74.672)
Epoch: [34][7320/14090]	Time 0.718 (0.770)	Data 0.003 (0.002)	Loss 2.3195 (2.2280)	Prec@1 46.875 (44.063)	Prec@5 71.094 (74.672)
Epoch: [34][7330/14090]	Time 0.775 (0.770)	Data 0.001 (0.002)	Loss 2.2454 (2.2281)	Prec@1 50.781 (44.064)	Prec@5 71.875 (74.671)
Epoch: [34][7340/14090]	Time 0.908 (0.770)	Data 0.001 (0.002)	Loss 2.0762 (2.2280)	Prec@1 53.906 (44.067)	Prec@5 73.438 (74.671)
Epoch: [34][7350/14090]	Time 0.774 (0.770)	Data 0.001 (0.002)	Loss 2.1101 (2.2280)	Prec@1 45.312 (44.070)	Prec@5 77.344 (74.673)
Epoch: [34][7360/14090]	Time 0.726 (0.770)	Data 0.001 (0.002)	Loss 2.2067 (2.2280)	Prec@1 43.750 (44.068)	Prec@5 79.688 (74.673)
Epoch: [34][7370/14090]	Time 0.743 (0.770)	Data 0.001 (0.002)	Loss 2.2291 (2.2281)	Prec@1 46.094 (44.066)	Prec@5 72.656 (74.672)
Epoch: [34][7380/14090]	Time 0.732 (0.770)	Data 0.001 (0.002)	Loss 2.0567 (2.2282)	Prec@1 45.312 (44.066)	Prec@5 77.344 (74.671)
Epoch: [34][7390/14090]	Time 0.758 (0.770)	Data 0.001 (0.002)	Loss 2.3757 (2.2281)	Prec@1 42.188 (44.069)	Prec@5 73.438 (74.673)
Epoch: [34][7400/14090]	Time 0.733 (0.770)	Data 0.001 (0.002)	Loss 2.3628 (2.2280)	Prec@1 39.844 (44.071)	Prec@5 71.875 (74.676)
Epoch: [34][7410/14090]	Time 0.879 (0.770)	Data 0.001 (0.002)	Loss 2.3547 (2.2280)	Prec@1 44.531 (44.073)	Prec@5 76.562 (74.677)
Epoch: [34][7420/14090]	Time 0.734 (0.770)	Data 0.001 (0.002)	Loss 2.5088 (2.2279)	Prec@1 39.062 (44.073)	Prec@5 68.750 (74.679)
Epoch: [34][7430/14090]	Time 0.754 (0.770)	Data 0.001 (0.002)	Loss 2.3333 (2.2279)	Prec@1 43.750 (44.073)	Prec@5 75.000 (74.679)
Epoch: [34][7440/14090]	Time 0.756 (0.770)	Data 0.001 (0.002)	Loss 1.9492 (2.2278)	Prec@1 47.656 (44.076)	Prec@5 77.344 (74.679)
Epoch: [34][7450/14090]	Time 0.742 (0.770)	Data 0.002 (0.002)	Loss 2.0031 (2.2277)	Prec@1 47.656 (44.077)	Prec@5 82.812 (74.682)
Epoch: [34][7460/14090]	Time 0.741 (0.770)	Data 0.001 (0.002)	Loss 2.2722 (2.2276)	Prec@1 42.188 (44.076)	Prec@5 71.875 (74.682)
Epoch: [34][7470/14090]	Time 0.756 (0.770)	Data 0.001 (0.002)	Loss 2.0897 (2.2277)	Prec@1 42.188 (44.079)	Prec@5 77.344 (74.683)
Epoch: [34][7480/14090]	Time 0.863 (0.770)	Data 0.001 (0.002)	Loss 2.2695 (2.2276)	Prec@1 45.312 (44.082)	Prec@5 69.531 (74.683)
Epoch: [34][7490/14090]	Time 0.739 (0.770)	Data 0.001 (0.002)	Loss 2.3485 (2.2276)	Prec@1 39.844 (44.082)	Prec@5 72.656 (74.683)
Epoch: [34][7500/14090]	Time 0.778 (0.770)	Data 0.001 (0.002)	Loss 2.1252 (2.2277)	Prec@1 46.875 (44.081)	Prec@5 77.344 (74.679)
Epoch: [34][7510/14090]	Time 0.730 (0.770)	Data 0.001 (0.002)	Loss 2.2405 (2.2278)	Prec@1 46.875 (44.079)	Prec@5 73.438 (74.678)
Epoch: [34][7520/14090]	Time 0.732 (0.770)	Data 0.001 (0.002)	Loss 2.2924 (2.2278)	Prec@1 41.406 (44.079)	Prec@5 77.344 (74.679)
Epoch: [34][7530/14090]	Time 0.744 (0.770)	Data 0.001 (0.002)	Loss 2.5435 (2.2279)	Prec@1 35.156 (44.076)	Prec@5 71.094 (74.679)
Epoch: [34][7540/14090]	Time 0.739 (0.770)	Data 0.001 (0.002)	Loss 2.3571 (2.2280)	Prec@1 39.844 (44.073)	Prec@5 75.781 (74.676)
Epoch: [34][7550/14090]	Time 0.900 (0.770)	Data 0.001 (0.002)	Loss 2.1088 (2.2281)	Prec@1 50.781 (44.074)	Prec@5 77.344 (74.676)
Epoch: [34][7560/14090]	Time 0.741 (0.770)	Data 0.001 (0.002)	Loss 2.2131 (2.2281)	Prec@1 39.844 (44.073)	Prec@5 71.094 (74.676)
Epoch: [34][7570/14090]	Time 0.736 (0.770)	Data 0.001 (0.002)	Loss 2.2806 (2.2280)	Prec@1 39.844 (44.074)	Prec@5 77.344 (74.675)
Epoch: [34][7580/14090]	Time 0.743 (0.770)	Data 0.001 (0.002)	Loss 2.3713 (2.2281)	Prec@1 41.406 (44.071)	Prec@5 74.219 (74.675)
Epoch: [34][7590/14090]	Time 0.737 (0.770)	Data 0.001 (0.002)	Loss 2.2210 (2.2280)	Prec@1 40.625 (44.070)	Prec@5 75.781 (74.676)
Epoch: [34][7600/14090]	Time 0.770 (0.770)	Data 0.001 (0.002)	Loss 2.2054 (2.2282)	Prec@1 48.438 (44.066)	Prec@5 76.562 (74.674)
Epoch: [34][7610/14090]	Time 0.740 (0.770)	Data 0.001 (0.002)	Loss 2.1518 (2.2281)	Prec@1 42.188 (44.068)	Prec@5 77.344 (74.674)
Epoch: [34][7620/14090]	Time 0.872 (0.770)	Data 0.001 (0.002)	Loss 2.1586 (2.2280)	Prec@1 42.188 (44.071)	Prec@5 75.781 (74.676)
Epoch: [34][7630/14090]	Time 0.730 (0.770)	Data 0.001 (0.002)	Loss 2.1700 (2.2281)	Prec@1 44.531 (44.069)	Prec@5 75.000 (74.674)
Epoch: [34][7640/14090]	Time 0.756 (0.770)	Data 0.001 (0.002)	Loss 2.2017 (2.2281)	Prec@1 42.188 (44.066)	Prec@5 75.781 (74.674)
Epoch: [34][7650/14090]	Time 0.733 (0.770)	Data 0.001 (0.002)	Loss 2.2883 (2.2281)	Prec@1 41.406 (44.068)	Prec@5 72.656 (74.674)
Epoch: [34][7660/14090]	Time 0.729 (0.770)	Data 0.001 (0.002)	Loss 2.4280 (2.2281)	Prec@1 35.938 (44.068)	Prec@5 73.438 (74.676)
Epoch: [34][7670/14090]	Time 0.734 (0.770)	Data 0.001 (0.002)	Loss 2.1355 (2.2281)	Prec@1 47.656 (44.068)	Prec@5 77.344 (74.674)
Epoch: [34][7680/14090]	Time 0.741 (0.770)	Data 0.001 (0.002)	Loss 2.1189 (2.2281)	Prec@1 47.656 (44.069)	Prec@5 75.781 (74.674)
Epoch: [34][7690/14090]	Time 0.880 (0.770)	Data 0.001 (0.002)	Loss 2.4172 (2.2283)	Prec@1 38.281 (44.064)	Prec@5 68.750 (74.670)
Epoch: [34][7700/14090]	Time 0.755 (0.770)	Data 0.001 (0.001)	Loss 2.3423 (2.2283)	Prec@1 48.438 (44.064)	Prec@5 68.750 (74.668)
Epoch: [34][7710/14090]	Time 0.753 (0.770)	Data 0.001 (0.001)	Loss 2.0680 (2.2282)	Prec@1 42.969 (44.064)	Prec@5 78.906 (74.668)
Epoch: [34][7720/14090]	Time 0.758 (0.770)	Data 0.001 (0.001)	Loss 2.1368 (2.2282)	Prec@1 41.406 (44.065)	Prec@5 74.219 (74.670)
Epoch: [34][7730/14090]	Time 0.761 (0.770)	Data 0.002 (0.001)	Loss 2.3317 (2.2281)	Prec@1 38.281 (44.064)	Prec@5 72.656 (74.672)
Epoch: [34][7740/14090]	Time 0.726 (0.770)	Data 0.001 (0.001)	Loss 2.1049 (2.2280)	Prec@1 48.438 (44.064)	Prec@5 75.781 (74.673)
Epoch: [34][7750/14090]	Time 0.728 (0.770)	Data 0.001 (0.001)	Loss 2.3836 (2.2282)	Prec@1 42.188 (44.061)	Prec@5 73.438 (74.672)
Epoch: [34][7760/14090]	Time 0.931 (0.770)	Data 0.001 (0.001)	Loss 2.3008 (2.2283)	Prec@1 40.625 (44.059)	Prec@5 76.562 (74.670)
Epoch: [34][7770/14090]	Time 0.752 (0.770)	Data 0.001 (0.001)	Loss 2.2205 (2.2283)	Prec@1 44.531 (44.060)	Prec@5 69.531 (74.670)
Epoch: [34][7780/14090]	Time 0.785 (0.770)	Data 0.001 (0.001)	Loss 2.5608 (2.2284)	Prec@1 36.719 (44.059)	Prec@5 62.500 (74.666)
Epoch: [34][7790/14090]	Time 0.730 (0.770)	Data 0.002 (0.001)	Loss 2.1895 (2.2284)	Prec@1 46.875 (44.059)	Prec@5 78.906 (74.667)
Epoch: [34][7800/14090]	Time 0.757 (0.770)	Data 0.001 (0.001)	Loss 2.3962 (2.2285)	Prec@1 41.406 (44.057)	Prec@5 74.219 (74.668)
Epoch: [34][7810/14090]	Time 0.767 (0.770)	Data 0.001 (0.001)	Loss 2.2031 (2.2285)	Prec@1 44.531 (44.056)	Prec@5 76.562 (74.668)
Epoch: [34][7820/14090]	Time 0.735 (0.770)	Data 0.001 (0.001)	Loss 2.3638 (2.2285)	Prec@1 45.312 (44.058)	Prec@5 75.781 (74.669)
Epoch: [34][7830/14090]	Time 0.882 (0.770)	Data 0.001 (0.001)	Loss 2.6998 (2.2286)	Prec@1 30.469 (44.055)	Prec@5 59.375 (74.665)
Epoch: [34][7840/14090]	Time 0.723 (0.770)	Data 0.001 (0.001)	Loss 2.5644 (2.2287)	Prec@1 31.250 (44.051)	Prec@5 69.531 (74.663)
Epoch: [34][7850/14090]	Time 0.768 (0.770)	Data 0.001 (0.001)	Loss 2.0251 (2.2285)	Prec@1 48.438 (44.053)	Prec@5 75.781 (74.665)
Epoch: [34][7860/14090]	Time 0.762 (0.770)	Data 0.001 (0.001)	Loss 2.0838 (2.2287)	Prec@1 48.438 (44.050)	Prec@5 76.562 (74.664)
Epoch: [34][7870/14090]	Time 0.768 (0.770)	Data 0.002 (0.001)	Loss 2.3477 (2.2288)	Prec@1 40.625 (44.046)	Prec@5 77.344 (74.662)
Epoch: [34][7880/14090]	Time 0.739 (0.770)	Data 0.001 (0.001)	Loss 2.0163 (2.2288)	Prec@1 51.562 (44.046)	Prec@5 78.906 (74.662)
Epoch: [34][7890/14090]	Time 0.746 (0.770)	Data 0.001 (0.001)	Loss 2.0124 (2.2288)	Prec@1 46.875 (44.045)	Prec@5 76.562 (74.661)
Epoch: [34][7900/14090]	Time 0.948 (0.770)	Data 0.001 (0.001)	Loss 2.2142 (2.2287)	Prec@1 42.188 (44.049)	Prec@5 75.000 (74.663)
Epoch: [34][7910/14090]	Time 0.737 (0.770)	Data 0.001 (0.001)	Loss 2.1359 (2.2287)	Prec@1 42.969 (44.049)	Prec@5 77.344 (74.664)
Epoch: [34][7920/14090]	Time 0.735 (0.770)	Data 0.001 (0.001)	Loss 2.2584 (2.2287)	Prec@1 39.844 (44.048)	Prec@5 75.781 (74.666)
Epoch: [34][7930/14090]	Time 0.733 (0.770)	Data 0.001 (0.001)	Loss 2.0857 (2.2286)	Prec@1 52.344 (44.049)	Prec@5 78.906 (74.665)
Epoch: [34][7940/14090]	Time 0.753 (0.770)	Data 0.001 (0.001)	Loss 2.3046 (2.2287)	Prec@1 37.500 (44.049)	Prec@5 75.000 (74.666)
Epoch: [34][7950/14090]	Time 0.733 (0.770)	Data 0.002 (0.001)	Loss 1.8404 (2.2287)	Prec@1 57.812 (44.051)	Prec@5 78.906 (74.665)
Epoch: [34][7960/14090]	Time 0.747 (0.770)	Data 0.001 (0.001)	Loss 2.0028 (2.2286)	Prec@1 43.750 (44.051)	Prec@5 80.469 (74.666)
Epoch: [34][7970/14090]	Time 0.914 (0.770)	Data 0.001 (0.001)	Loss 2.4527 (2.2286)	Prec@1 42.188 (44.050)	Prec@5 71.875 (74.665)
Epoch: [34][7980/14090]	Time 0.747 (0.770)	Data 0.001 (0.001)	Loss 2.0953 (2.2286)	Prec@1 48.438 (44.048)	Prec@5 77.344 (74.665)
Epoch: [34][7990/14090]	Time 0.776 (0.770)	Data 0.002 (0.001)	Loss 2.2169 (2.2287)	Prec@1 45.312 (44.048)	Prec@5 71.094 (74.663)
Epoch: [34][8000/14090]	Time 0.726 (0.770)	Data 0.001 (0.001)	Loss 2.0466 (2.2287)	Prec@1 45.312 (44.049)	Prec@5 77.344 (74.662)
Epoch: [34][8010/14090]	Time 0.728 (0.770)	Data 0.001 (0.001)	Loss 2.1046 (2.2287)	Prec@1 47.656 (44.049)	Prec@5 79.688 (74.663)
Epoch: [34][8020/14090]	Time 0.770 (0.770)	Data 0.001 (0.001)	Loss 2.3585 (2.2288)	Prec@1 39.062 (44.048)	Prec@5 71.875 (74.661)
Epoch: [34][8030/14090]	Time 0.754 (0.770)	Data 0.001 (0.001)	Loss 2.6047 (2.2288)	Prec@1 40.625 (44.048)	Prec@5 66.406 (74.661)
Epoch: [34][8040/14090]	Time 0.857 (0.770)	Data 0.001 (0.001)	Loss 2.3142 (2.2287)	Prec@1 50.781 (44.050)	Prec@5 71.094 (74.661)
Epoch: [34][8050/14090]	Time 0.758 (0.770)	Data 0.001 (0.001)	Loss 2.0344 (2.2287)	Prec@1 43.750 (44.051)	Prec@5 78.906 (74.662)
Epoch: [34][8060/14090]	Time 0.729 (0.770)	Data 0.001 (0.001)	Loss 2.2973 (2.2287)	Prec@1 42.188 (44.051)	Prec@5 75.000 (74.659)
Epoch: [34][8070/14090]	Time 0.737 (0.770)	Data 0.001 (0.001)	Loss 2.4200 (2.2287)	Prec@1 32.812 (44.051)	Prec@5 70.312 (74.659)
Epoch: [34][8080/14090]	Time 0.740 (0.770)	Data 0.001 (0.001)	Loss 2.0983 (2.2287)	Prec@1 45.312 (44.049)	Prec@5 76.562 (74.661)
Epoch: [34][8090/14090]	Time 0.769 (0.770)	Data 0.001 (0.001)	Loss 2.2988 (2.2287)	Prec@1 39.062 (44.049)	Prec@5 79.688 (74.661)
Epoch: [34][8100/14090]	Time 0.742 (0.770)	Data 0.001 (0.001)	Loss 2.3309 (2.2289)	Prec@1 46.875 (44.047)	Prec@5 68.750 (74.658)
Epoch: [34][8110/14090]	Time 0.859 (0.770)	Data 0.001 (0.001)	Loss 2.0636 (2.2288)	Prec@1 41.406 (44.047)	Prec@5 78.125 (74.659)
Epoch: [34][8120/14090]	Time 0.748 (0.770)	Data 0.001 (0.001)	Loss 2.0156 (2.2288)	Prec@1 46.094 (44.047)	Prec@5 78.125 (74.658)
Epoch: [34][8130/14090]	Time 0.728 (0.770)	Data 0.001 (0.001)	Loss 2.4214 (2.2289)	Prec@1 38.281 (44.043)	Prec@5 72.656 (74.655)
Epoch: [34][8140/14090]	Time 0.738 (0.770)	Data 0.001 (0.001)	Loss 2.3402 (2.2290)	Prec@1 39.844 (44.041)	Prec@5 77.344 (74.655)
Epoch: [34][8150/14090]	Time 0.766 (0.770)	Data 0.001 (0.001)	Loss 2.1069 (2.2290)	Prec@1 49.219 (44.043)	Prec@5 77.344 (74.655)
Epoch: [34][8160/14090]	Time 0.758 (0.770)	Data 0.001 (0.001)	Loss 2.0448 (2.2290)	Prec@1 46.875 (44.043)	Prec@5 79.688 (74.655)
Epoch: [34][8170/14090]	Time 0.762 (0.770)	Data 0.001 (0.001)	Loss 2.5321 (2.2290)	Prec@1 39.062 (44.044)	Prec@5 67.969 (74.655)
Epoch: [34][8180/14090]	Time 0.947 (0.770)	Data 0.003 (0.001)	Loss 2.3383 (2.2290)	Prec@1 41.406 (44.044)	Prec@5 71.094 (74.655)
Epoch: [34][8190/14090]	Time 0.725 (0.770)	Data 0.001 (0.001)	Loss 2.0441 (2.2290)	Prec@1 53.125 (44.044)	Prec@5 79.688 (74.656)
Epoch: [34][8200/14090]	Time 0.725 (0.770)	Data 0.003 (0.001)	Loss 2.1224 (2.2290)	Prec@1 46.094 (44.041)	Prec@5 75.781 (74.655)
Epoch: [34][8210/14090]	Time 0.758 (0.770)	Data 0.001 (0.001)	Loss 2.2034 (2.2290)	Prec@1 42.969 (44.039)	Prec@5 75.000 (74.654)
Epoch: [34][8220/14090]	Time 0.783 (0.770)	Data 0.001 (0.001)	Loss 2.2723 (2.2290)	Prec@1 41.406 (44.041)	Prec@5 76.562 (74.654)
Epoch: [34][8230/14090]	Time 0.736 (0.770)	Data 0.001 (0.001)	Loss 2.3191 (2.2289)	Prec@1 38.281 (44.042)	Prec@5 71.094 (74.654)
Epoch: [34][8240/14090]	Time 0.733 (0.770)	Data 0.001 (0.001)	Loss 2.4332 (2.2289)	Prec@1 36.719 (44.044)	Prec@5 71.094 (74.655)
Epoch: [34][8250/14090]	Time 0.851 (0.770)	Data 0.001 (0.001)	Loss 2.3822 (2.2289)	Prec@1 42.969 (44.045)	Prec@5 74.219 (74.654)
Epoch: [34][8260/14090]	Time 0.749 (0.770)	Data 0.001 (0.001)	Loss 2.3536 (2.2289)	Prec@1 39.062 (44.044)	Prec@5 71.875 (74.654)
Epoch: [34][8270/14090]	Time 0.753 (0.770)	Data 0.002 (0.001)	Loss 2.0557 (2.2290)	Prec@1 48.438 (44.042)	Prec@5 81.250 (74.653)
Epoch: [34][8280/14090]	Time 0.741 (0.770)	Data 0.001 (0.001)	Loss 2.3076 (2.2290)	Prec@1 39.844 (44.040)	Prec@5 78.125 (74.655)
Epoch: [34][8290/14090]	Time 0.754 (0.770)	Data 0.001 (0.001)	Loss 2.0517 (2.2290)	Prec@1 48.438 (44.041)	Prec@5 79.688 (74.654)
Epoch: [34][8300/14090]	Time 0.777 (0.770)	Data 0.001 (0.001)	Loss 2.7478 (2.2291)	Prec@1 38.281 (44.042)	Prec@5 65.625 (74.654)
Epoch: [34][8310/14090]	Time 0.754 (0.770)	Data 0.001 (0.001)	Loss 2.3603 (2.2291)	Prec@1 39.844 (44.042)	Prec@5 71.875 (74.653)
Epoch: [34][8320/14090]	Time 0.853 (0.770)	Data 0.001 (0.001)	Loss 2.0102 (2.2290)	Prec@1 48.438 (44.044)	Prec@5 79.688 (74.653)
Epoch: [34][8330/14090]	Time 0.755 (0.770)	Data 0.001 (0.001)	Loss 2.0852 (2.2290)	Prec@1 46.875 (44.045)	Prec@5 76.562 (74.654)
Epoch: [34][8340/14090]	Time 0.744 (0.770)	Data 0.001 (0.001)	Loss 1.8471 (2.2289)	Prec@1 46.094 (44.047)	Prec@5 78.125 (74.656)
Epoch: [34][8350/14090]	Time 0.737 (0.770)	Data 0.001 (0.001)	Loss 2.3110 (2.2289)	Prec@1 39.062 (44.044)	Prec@5 73.438 (74.655)
Epoch: [34][8360/14090]	Time 0.747 (0.770)	Data 0.001 (0.001)	Loss 1.8116 (2.2288)	Prec@1 53.906 (44.046)	Prec@5 78.125 (74.657)
Epoch: [34][8370/14090]	Time 0.728 (0.770)	Data 0.001 (0.001)	Loss 2.5423 (2.2288)	Prec@1 42.188 (44.048)	Prec@5 71.094 (74.656)
Epoch: [34][8380/14090]	Time 0.751 (0.770)	Data 0.001 (0.001)	Loss 2.1681 (2.2287)	Prec@1 46.875 (44.049)	Prec@5 76.562 (74.656)
Epoch: [34][8390/14090]	Time 0.872 (0.770)	Data 0.001 (0.001)	Loss 2.5025 (2.2288)	Prec@1 39.844 (44.046)	Prec@5 67.969 (74.655)
Epoch: [34][8400/14090]	Time 0.759 (0.770)	Data 0.001 (0.001)	Loss 2.2386 (2.2288)	Prec@1 40.625 (44.044)	Prec@5 73.438 (74.655)
Epoch: [34][8410/14090]	Time 0.741 (0.770)	Data 0.001 (0.001)	Loss 2.2625 (2.2288)	Prec@1 39.844 (44.046)	Prec@5 75.000 (74.654)
Epoch: [34][8420/14090]	Time 0.755 (0.770)	Data 0.001 (0.001)	Loss 2.3374 (2.2289)	Prec@1 42.188 (44.042)	Prec@5 71.875 (74.653)
Epoch: [34][8430/14090]	Time 0.756 (0.770)	Data 0.001 (0.001)	Loss 2.3554 (2.2289)	Prec@1 40.625 (44.043)	Prec@5 71.875 (74.653)
Epoch: [34][8440/14090]	Time 0.751 (0.770)	Data 0.001 (0.001)	Loss 2.1617 (2.2289)	Prec@1 52.344 (44.045)	Prec@5 74.219 (74.653)
Epoch: [34][8450/14090]	Time 0.773 (0.770)	Data 0.001 (0.001)	Loss 2.0564 (2.2288)	Prec@1 46.094 (44.046)	Prec@5 79.688 (74.654)
Epoch: [34][8460/14090]	Time 0.908 (0.770)	Data 0.002 (0.001)	Loss 2.2347 (2.2288)	Prec@1 42.188 (44.045)	Prec@5 70.312 (74.652)
Epoch: [34][8470/14090]	Time 0.766 (0.770)	Data 0.001 (0.001)	Loss 2.3819 (2.2288)	Prec@1 44.531 (44.047)	Prec@5 71.875 (74.653)
Epoch: [34][8480/14090]	Time 0.727 (0.770)	Data 0.001 (0.001)	Loss 2.3103 (2.2288)	Prec@1 42.188 (44.047)	Prec@5 74.219 (74.652)
Epoch: [34][8490/14090]	Time 0.729 (0.770)	Data 0.001 (0.001)	Loss 2.3828 (2.2288)	Prec@1 37.500 (44.047)	Prec@5 75.781 (74.653)
Epoch: [34][8500/14090]	Time 0.724 (0.770)	Data 0.001 (0.001)	Loss 2.3531 (2.2288)	Prec@1 42.188 (44.048)	Prec@5 71.094 (74.653)
Epoch: [34][8510/14090]	Time 0.759 (0.770)	Data 0.001 (0.001)	Loss 2.2425 (2.2287)	Prec@1 42.188 (44.049)	Prec@5 69.531 (74.654)
Epoch: [34][8520/14090]	Time 0.757 (0.770)	Data 0.001 (0.001)	Loss 2.0368 (2.2287)	Prec@1 47.656 (44.050)	Prec@5 75.000 (74.653)
Epoch: [34][8530/14090]	Time 0.853 (0.770)	Data 0.001 (0.001)	Loss 2.2670 (2.2288)	Prec@1 43.750 (44.050)	Prec@5 78.125 (74.651)
Epoch: [34][8540/14090]	Time 0.737 (0.770)	Data 0.001 (0.001)	Loss 2.1202 (2.2288)	Prec@1 43.750 (44.049)	Prec@5 78.906 (74.650)
Epoch: [34][8550/14090]	Time 0.755 (0.770)	Data 0.001 (0.001)	Loss 2.0304 (2.2289)	Prec@1 46.875 (44.049)	Prec@5 77.344 (74.648)
Epoch: [34][8560/14090]	Time 0.782 (0.770)	Data 0.001 (0.001)	Loss 2.2111 (2.2289)	Prec@1 48.438 (44.048)	Prec@5 75.781 (74.649)
Epoch: [34][8570/14090]	Time 0.779 (0.770)	Data 0.001 (0.001)	Loss 2.2097 (2.2289)	Prec@1 47.656 (44.049)	Prec@5 73.438 (74.649)
Epoch: [34][8580/14090]	Time 0.726 (0.770)	Data 0.001 (0.001)	Loss 2.2054 (2.2290)	Prec@1 46.875 (44.050)	Prec@5 74.219 (74.647)
Epoch: [34][8590/14090]	Time 0.753 (0.770)	Data 0.002 (0.001)	Loss 2.1805 (2.2290)	Prec@1 47.656 (44.051)	Prec@5 79.688 (74.646)
Epoch: [34][8600/14090]	Time 0.854 (0.770)	Data 0.001 (0.001)	Loss 2.4494 (2.2291)	Prec@1 35.156 (44.050)	Prec@5 70.312 (74.644)
Epoch: [34][8610/14090]	Time 0.738 (0.770)	Data 0.001 (0.001)	Loss 2.1722 (2.2290)	Prec@1 49.219 (44.053)	Prec@5 75.781 (74.643)
Epoch: [34][8620/14090]	Time 0.731 (0.770)	Data 0.001 (0.001)	Loss 2.0925 (2.2290)	Prec@1 40.625 (44.052)	Prec@5 78.906 (74.643)
Epoch: [34][8630/14090]	Time 0.737 (0.770)	Data 0.001 (0.001)	Loss 2.1202 (2.2290)	Prec@1 46.875 (44.050)	Prec@5 75.781 (74.643)
Epoch: [34][8640/14090]	Time 0.769 (0.770)	Data 0.001 (0.001)	Loss 2.2537 (2.2291)	Prec@1 49.219 (44.049)	Prec@5 78.906 (74.641)
Epoch: [34][8650/14090]	Time 0.743 (0.770)	Data 0.001 (0.001)	Loss 2.1553 (2.2291)	Prec@1 49.219 (44.049)	Prec@5 75.000 (74.640)
Epoch: [34][8660/14090]	Time 0.773 (0.770)	Data 0.001 (0.001)	Loss 2.3902 (2.2292)	Prec@1 40.625 (44.048)	Prec@5 67.969 (74.638)
Epoch: [34][8670/14090]	Time 0.836 (0.770)	Data 0.002 (0.001)	Loss 2.2678 (2.2291)	Prec@1 43.750 (44.048)	Prec@5 68.750 (74.640)
Epoch: [34][8680/14090]	Time 0.730 (0.770)	Data 0.001 (0.001)	Loss 2.1810 (2.2292)	Prec@1 42.969 (44.045)	Prec@5 75.781 (74.638)
Epoch: [34][8690/14090]	Time 0.785 (0.770)	Data 0.001 (0.001)	Loss 2.4179 (2.2292)	Prec@1 39.844 (44.045)	Prec@5 70.312 (74.639)
Epoch: [34][8700/14090]	Time 0.773 (0.770)	Data 0.001 (0.001)	Loss 2.3200 (2.2294)	Prec@1 44.531 (44.040)	Prec@5 71.875 (74.636)
Epoch: [34][8710/14090]	Time 0.750 (0.770)	Data 0.001 (0.001)	Loss 2.3453 (2.2294)	Prec@1 42.969 (44.040)	Prec@5 73.438 (74.634)
Epoch: [34][8720/14090]	Time 0.719 (0.770)	Data 0.001 (0.001)	Loss 2.3193 (2.2294)	Prec@1 39.844 (44.041)	Prec@5 75.000 (74.635)
Epoch: [34][8730/14090]	Time 0.726 (0.770)	Data 0.001 (0.001)	Loss 2.3848 (2.2294)	Prec@1 36.719 (44.040)	Prec@5 76.562 (74.636)
Epoch: [34][8740/14090]	Time 0.882 (0.770)	Data 0.001 (0.001)	Loss 2.1675 (2.2294)	Prec@1 42.188 (44.039)	Prec@5 75.000 (74.636)
Epoch: [34][8750/14090]	Time 0.743 (0.770)	Data 0.001 (0.001)	Loss 2.2831 (2.2296)	Prec@1 42.969 (44.035)	Prec@5 73.438 (74.633)
Epoch: [34][8760/14090]	Time 0.728 (0.770)	Data 0.001 (0.001)	Loss 2.4047 (2.2296)	Prec@1 39.844 (44.035)	Prec@5 71.875 (74.632)
Epoch: [34][8770/14090]	Time 0.782 (0.770)	Data 0.001 (0.001)	Loss 2.1645 (2.2295)	Prec@1 45.312 (44.036)	Prec@5 70.312 (74.633)
Epoch: [34][8780/14090]	Time 0.740 (0.770)	Data 0.001 (0.001)	Loss 2.1503 (2.2295)	Prec@1 43.750 (44.037)	Prec@5 76.562 (74.633)
Epoch: [34][8790/14090]	Time 0.764 (0.770)	Data 0.001 (0.001)	Loss 2.1567 (2.2295)	Prec@1 50.000 (44.037)	Prec@5 75.781 (74.633)
Epoch: [34][8800/14090]	Time 0.752 (0.770)	Data 0.001 (0.001)	Loss 2.0521 (2.2295)	Prec@1 45.312 (44.040)	Prec@5 75.781 (74.633)
Epoch: [34][8810/14090]	Time 0.904 (0.770)	Data 0.001 (0.001)	Loss 2.0197 (2.2294)	Prec@1 46.875 (44.043)	Prec@5 76.562 (74.637)
Epoch: [34][8820/14090]	Time 0.748 (0.770)	Data 0.001 (0.001)	Loss 2.3029 (2.2294)	Prec@1 44.531 (44.043)	Prec@5 71.875 (74.637)
Epoch: [34][8830/14090]	Time 0.752 (0.770)	Data 0.001 (0.001)	Loss 2.3700 (2.2293)	Prec@1 40.625 (44.042)	Prec@5 69.531 (74.638)
Epoch: [34][8840/14090]	Time 0.740 (0.770)	Data 0.001 (0.001)	Loss 2.3238 (2.2293)	Prec@1 46.875 (44.042)	Prec@5 74.219 (74.638)
Epoch: [34][8850/14090]	Time 0.725 (0.770)	Data 0.001 (0.001)	Loss 2.2798 (2.2293)	Prec@1 41.406 (44.043)	Prec@5 78.125 (74.640)
Epoch: [34][8860/14090]	Time 0.749 (0.770)	Data 0.001 (0.001)	Loss 2.0915 (2.2293)	Prec@1 43.750 (44.042)	Prec@5 74.219 (74.640)
Epoch: [34][8870/14090]	Time 0.760 (0.770)	Data 0.001 (0.001)	Loss 2.3525 (2.2294)	Prec@1 43.750 (44.040)	Prec@5 75.000 (74.638)
Epoch: [34][8880/14090]	Time 1.017 (0.770)	Data 0.001 (0.001)	Loss 2.0688 (2.2293)	Prec@1 50.000 (44.042)	Prec@5 75.781 (74.639)
Epoch: [34][8890/14090]	Time 0.727 (0.770)	Data 0.001 (0.001)	Loss 2.3554 (2.2294)	Prec@1 44.531 (44.041)	Prec@5 71.094 (74.637)
Epoch: [34][8900/14090]	Time 0.734 (0.770)	Data 0.001 (0.001)	Loss 2.1230 (2.2293)	Prec@1 45.312 (44.043)	Prec@5 78.125 (74.638)
Epoch: [34][8910/14090]	Time 0.726 (0.770)	Data 0.001 (0.001)	Loss 2.4263 (2.2294)	Prec@1 35.156 (44.043)	Prec@5 69.531 (74.636)
Epoch: [34][8920/14090]	Time 0.738 (0.770)	Data 0.001 (0.001)	Loss 2.2289 (2.2294)	Prec@1 44.531 (44.042)	Prec@5 73.438 (74.636)
Epoch: [34][8930/14090]	Time 0.730 (0.770)	Data 0.001 (0.001)	Loss 2.6855 (2.2295)	Prec@1 35.156 (44.044)	Prec@5 66.406 (74.635)
Epoch: [34][8940/14090]	Time 0.747 (0.770)	Data 0.001 (0.001)	Loss 2.2376 (2.2296)	Prec@1 43.750 (44.040)	Prec@5 71.094 (74.631)
Epoch: [34][8950/14090]	Time 0.879 (0.770)	Data 0.001 (0.001)	Loss 2.2170 (2.2296)	Prec@1 49.219 (44.040)	Prec@5 71.875 (74.631)
Epoch: [34][8960/14090]	Time 0.760 (0.770)	Data 0.001 (0.001)	Loss 2.0951 (2.2296)	Prec@1 52.344 (44.041)	Prec@5 77.344 (74.631)
Epoch: [34][8970/14090]	Time 0.772 (0.770)	Data 0.001 (0.001)	Loss 2.1983 (2.2295)	Prec@1 47.656 (44.045)	Prec@5 76.562 (74.633)
Epoch: [34][8980/14090]	Time 0.728 (0.770)	Data 0.001 (0.001)	Loss 2.4987 (2.2295)	Prec@1 41.406 (44.045)	Prec@5 72.656 (74.634)
Epoch: [34][8990/14090]	Time 0.758 (0.770)	Data 0.001 (0.001)	Loss 2.0315 (2.2295)	Prec@1 50.000 (44.045)	Prec@5 78.906 (74.635)
Epoch: [34][9000/14090]	Time 0.743 (0.770)	Data 0.001 (0.001)	Loss 2.3254 (2.2296)	Prec@1 43.750 (44.043)	Prec@5 69.531 (74.633)
Epoch: [34][9010/14090]	Time 0.722 (0.770)	Data 0.001 (0.001)	Loss 2.5781 (2.2297)	Prec@1 39.844 (44.043)	Prec@5 69.531 (74.631)
Epoch: [34][9020/14090]	Time 0.891 (0.770)	Data 0.001 (0.001)	Loss 2.2004 (2.2297)	Prec@1 42.188 (44.042)	Prec@5 74.219 (74.631)
Epoch: [34][9030/14090]	Time 0.747 (0.770)	Data 0.001 (0.001)	Loss 2.1007 (2.2297)	Prec@1 42.188 (44.039)	Prec@5 77.344 (74.631)
Epoch: [34][9040/14090]	Time 0.737 (0.770)	Data 0.001 (0.001)	Loss 2.3340 (2.2297)	Prec@1 43.750 (44.039)	Prec@5 77.344 (74.631)
Epoch: [34][9050/14090]	Time 0.766 (0.770)	Data 0.001 (0.001)	Loss 2.3227 (2.2297)	Prec@1 40.625 (44.040)	Prec@5 77.344 (74.631)
Epoch: [34][9060/14090]	Time 0.784 (0.770)	Data 0.001 (0.001)	Loss 2.0231 (2.2296)	Prec@1 50.781 (44.041)	Prec@5 79.688 (74.633)
Epoch: [34][9070/14090]	Time 0.735 (0.770)	Data 0.001 (0.001)	Loss 2.0130 (2.2297)	Prec@1 48.438 (44.040)	Prec@5 78.125 (74.633)
Epoch: [34][9080/14090]	Time 0.734 (0.770)	Data 0.001 (0.001)	Loss 2.5700 (2.2297)	Prec@1 34.375 (44.041)	Prec@5 69.531 (74.632)
Epoch: [34][9090/14090]	Time 0.886 (0.770)	Data 0.001 (0.001)	Loss 2.2193 (2.2296)	Prec@1 46.094 (44.042)	Prec@5 74.219 (74.635)
Epoch: [34][9100/14090]	Time 0.733 (0.770)	Data 0.001 (0.001)	Loss 2.0113 (2.2295)	Prec@1 50.000 (44.043)	Prec@5 78.906 (74.637)
Epoch: [34][9110/14090]	Time 0.757 (0.770)	Data 0.001 (0.001)	Loss 2.5437 (2.2295)	Prec@1 39.062 (44.043)	Prec@5 64.062 (74.636)
Epoch: [34][9120/14090]	Time 0.785 (0.770)	Data 0.001 (0.001)	Loss 2.2029 (2.2294)	Prec@1 42.969 (44.045)	Prec@5 77.344 (74.638)
Epoch: [34][9130/14090]	Time 0.735 (0.770)	Data 0.001 (0.001)	Loss 2.5857 (2.2296)	Prec@1 38.281 (44.043)	Prec@5 67.188 (74.635)
Epoch: [34][9140/14090]	Time 0.753 (0.770)	Data 0.001 (0.001)	Loss 2.3831 (2.2295)	Prec@1 37.500 (44.041)	Prec@5 71.875 (74.635)
Epoch: [34][9150/14090]	Time 0.733 (0.770)	Data 0.001 (0.001)	Loss 2.4579 (2.2297)	Prec@1 39.844 (44.039)	Prec@5 68.750 (74.632)
Epoch: [34][9160/14090]	Time 0.869 (0.770)	Data 0.001 (0.001)	Loss 2.3147 (2.2297)	Prec@1 39.062 (44.038)	Prec@5 74.219 (74.632)
Epoch: [34][9170/14090]	Time 0.728 (0.770)	Data 0.001 (0.001)	Loss 2.5379 (2.2298)	Prec@1 34.375 (44.034)	Prec@5 64.062 (74.630)
Epoch: [34][9180/14090]	Time 0.779 (0.770)	Data 0.001 (0.001)	Loss 2.2477 (2.2299)	Prec@1 46.875 (44.030)	Prec@5 71.094 (74.627)
Epoch: [34][9190/14090]	Time 0.760 (0.770)	Data 0.001 (0.001)	Loss 2.2843 (2.2298)	Prec@1 46.094 (44.031)	Prec@5 70.312 (74.627)
Epoch: [34][9200/14090]	Time 0.740 (0.770)	Data 0.001 (0.001)	Loss 2.7790 (2.2299)	Prec@1 31.250 (44.029)	Prec@5 63.281 (74.626)
Epoch: [34][9210/14090]	Time 0.746 (0.770)	Data 0.001 (0.001)	Loss 2.5080 (2.2299)	Prec@1 36.719 (44.029)	Prec@5 71.875 (74.626)
Epoch: [34][9220/14090]	Time 0.751 (0.770)	Data 0.001 (0.001)	Loss 2.2062 (2.2299)	Prec@1 48.438 (44.031)	Prec@5 74.219 (74.625)
Epoch: [34][9230/14090]	Time 0.869 (0.770)	Data 0.001 (0.001)	Loss 2.0643 (2.2298)	Prec@1 46.875 (44.033)	Prec@5 75.781 (74.627)
Epoch: [34][9240/14090]	Time 0.742 (0.770)	Data 0.001 (0.001)	Loss 2.5252 (2.2299)	Prec@1 38.281 (44.033)	Prec@5 64.062 (74.626)
Epoch: [34][9250/14090]	Time 0.755 (0.770)	Data 0.001 (0.001)	Loss 2.3888 (2.2300)	Prec@1 38.281 (44.030)	Prec@5 72.656 (74.624)
Epoch: [34][9260/14090]	Time 0.771 (0.770)	Data 0.001 (0.001)	Loss 2.2711 (2.2300)	Prec@1 39.062 (44.031)	Prec@5 77.344 (74.625)
Epoch: [34][9270/14090]	Time 0.745 (0.770)	Data 0.001 (0.001)	Loss 2.4567 (2.2300)	Prec@1 39.062 (44.030)	Prec@5 71.094 (74.624)
Epoch: [34][9280/14090]	Time 0.769 (0.770)	Data 0.001 (0.001)	Loss 2.3157 (2.2301)	Prec@1 41.406 (44.029)	Prec@5 73.438 (74.626)
Epoch: [34][9290/14090]	Time 0.726 (0.770)	Data 0.001 (0.001)	Loss 2.0799 (2.2301)	Prec@1 44.531 (44.027)	Prec@5 78.125 (74.625)
Epoch: [34][9300/14090]	Time 0.842 (0.770)	Data 0.001 (0.001)	Loss 2.1605 (2.2302)	Prec@1 46.875 (44.026)	Prec@5 75.781 (74.623)
Epoch: [34][9310/14090]	Time 0.766 (0.770)	Data 0.001 (0.001)	Loss 2.3872 (2.2303)	Prec@1 39.844 (44.026)	Prec@5 69.531 (74.622)
Epoch: [34][9320/14090]	Time 0.759 (0.770)	Data 0.001 (0.001)	Loss 2.1939 (2.2303)	Prec@1 46.094 (44.024)	Prec@5 76.562 (74.620)
Epoch: [34][9330/14090]	Time 0.756 (0.770)	Data 0.001 (0.001)	Loss 2.0749 (2.2304)	Prec@1 48.438 (44.023)	Prec@5 76.562 (74.619)
Epoch: [34][9340/14090]	Time 0.781 (0.770)	Data 0.001 (0.001)	Loss 2.1044 (2.2304)	Prec@1 49.219 (44.024)	Prec@5 74.219 (74.618)
Epoch: [34][9350/14090]	Time 0.776 (0.770)	Data 0.001 (0.001)	Loss 2.0711 (2.2304)	Prec@1 46.094 (44.025)	Prec@5 74.219 (74.617)
Epoch: [34][9360/14090]	Time 0.743 (0.770)	Data 0.001 (0.001)	Loss 2.2378 (2.2303)	Prec@1 39.844 (44.024)	Prec@5 73.438 (74.619)
Epoch: [34][9370/14090]	Time 1.004 (0.770)	Data 0.001 (0.001)	Loss 2.4224 (2.2303)	Prec@1 39.844 (44.023)	Prec@5 70.312 (74.620)
Epoch: [34][9380/14090]	Time 0.753 (0.770)	Data 0.001 (0.001)	Loss 2.3708 (2.2304)	Prec@1 38.281 (44.021)	Prec@5 74.219 (74.619)
Epoch: [34][9390/14090]	Time 0.760 (0.770)	Data 0.001 (0.001)	Loss 2.3942 (2.2304)	Prec@1 46.875 (44.021)	Prec@5 73.438 (74.617)
Epoch: [34][9400/14090]	Time 0.786 (0.770)	Data 0.001 (0.001)	Loss 2.3878 (2.2304)	Prec@1 37.500 (44.021)	Prec@5 72.656 (74.618)
Epoch: [34][9410/14090]	Time 0.721 (0.770)	Data 0.001 (0.001)	Loss 1.9957 (2.2304)	Prec@1 44.531 (44.019)	Prec@5 78.906 (74.619)
Epoch: [34][9420/14090]	Time 0.742 (0.770)	Data 0.001 (0.001)	Loss 2.0965 (2.2303)	Prec@1 41.406 (44.018)	Prec@5 78.906 (74.622)
Epoch: [34][9430/14090]	Time 0.733 (0.770)	Data 0.001 (0.001)	Loss 2.2814 (2.2304)	Prec@1 37.500 (44.018)	Prec@5 78.125 (74.621)
Epoch: [34][9440/14090]	Time 0.894 (0.770)	Data 0.001 (0.001)	Loss 2.0046 (2.2305)	Prec@1 49.219 (44.016)	Prec@5 80.469 (74.619)
Epoch: [34][9450/14090]	Time 0.755 (0.770)	Data 0.001 (0.001)	Loss 2.3992 (2.2305)	Prec@1 45.312 (44.017)	Prec@5 67.969 (74.618)
Epoch: [34][9460/14090]	Time 0.724 (0.770)	Data 0.001 (0.001)	Loss 2.1759 (2.2305)	Prec@1 43.750 (44.017)	Prec@5 79.688 (74.619)
Epoch: [34][9470/14090]	Time 0.772 (0.770)	Data 0.001 (0.001)	Loss 2.1081 (2.2305)	Prec@1 46.875 (44.017)	Prec@5 78.125 (74.618)
Epoch: [34][9480/14090]	Time 0.744 (0.770)	Data 0.001 (0.001)	Loss 2.0264 (2.2306)	Prec@1 51.562 (44.015)	Prec@5 76.562 (74.618)
Epoch: [34][9490/14090]	Time 0.761 (0.770)	Data 0.001 (0.001)	Loss 2.2500 (2.2305)	Prec@1 48.438 (44.018)	Prec@5 77.344 (74.618)
Epoch: [34][9500/14090]	Time 0.759 (0.770)	Data 0.001 (0.001)	Loss 2.2807 (2.2305)	Prec@1 49.219 (44.019)	Prec@5 72.656 (74.619)
Epoch: [34][9510/14090]	Time 0.857 (0.770)	Data 0.001 (0.001)	Loss 2.1133 (2.2305)	Prec@1 49.219 (44.018)	Prec@5 71.094 (74.617)
Epoch: [34][9520/14090]	Time 0.764 (0.770)	Data 0.001 (0.001)	Loss 2.2471 (2.2305)	Prec@1 42.188 (44.017)	Prec@5 74.219 (74.616)
Epoch: [34][9530/14090]	Time 0.737 (0.770)	Data 0.001 (0.001)	Loss 1.9355 (2.2306)	Prec@1 44.531 (44.015)	Prec@5 82.812 (74.615)
Epoch: [34][9540/14090]	Time 0.752 (0.770)	Data 0.001 (0.001)	Loss 2.3214 (2.2307)	Prec@1 47.656 (44.014)	Prec@5 75.000 (74.614)
Epoch: [34][9550/14090]	Time 0.748 (0.770)	Data 0.001 (0.001)	Loss 2.0328 (2.2308)	Prec@1 47.656 (44.013)	Prec@5 75.781 (74.611)
Epoch: [34][9560/14090]	Time 0.757 (0.770)	Data 0.001 (0.001)	Loss 2.3098 (2.2308)	Prec@1 43.750 (44.014)	Prec@5 71.875 (74.611)
Epoch: [34][9570/14090]	Time 0.767 (0.770)	Data 0.001 (0.001)	Loss 2.3026 (2.2308)	Prec@1 35.938 (44.014)	Prec@5 77.344 (74.613)
Epoch: [34][9580/14090]	Time 0.881 (0.770)	Data 0.001 (0.001)	Loss 2.0427 (2.2307)	Prec@1 54.688 (44.015)	Prec@5 79.688 (74.614)
Epoch: [34][9590/14090]	Time 0.726 (0.770)	Data 0.001 (0.001)	Loss 2.1286 (2.2308)	Prec@1 46.094 (44.015)	Prec@5 74.219 (74.611)
Epoch: [34][9600/14090]	Time 0.752 (0.770)	Data 0.001 (0.001)	Loss 2.2780 (2.2308)	Prec@1 38.281 (44.013)	Prec@5 74.219 (74.612)
Epoch: [34][9610/14090]	Time 0.729 (0.770)	Data 0.001 (0.001)	Loss 2.3783 (2.2308)	Prec@1 37.500 (44.013)	Prec@5 73.438 (74.613)
Epoch: [34][9620/14090]	Time 0.751 (0.770)	Data 0.001 (0.001)	Loss 2.1406 (2.2308)	Prec@1 49.219 (44.014)	Prec@5 77.344 (74.611)
Epoch: [34][9630/14090]	Time 0.757 (0.770)	Data 0.001 (0.001)	Loss 2.1553 (2.2309)	Prec@1 42.969 (44.012)	Prec@5 77.344 (74.610)
Epoch: [34][9640/14090]	Time 0.751 (0.770)	Data 0.001 (0.001)	Loss 2.0047 (2.2310)	Prec@1 47.656 (44.012)	Prec@5 80.469 (74.611)
Epoch: [34][9650/14090]	Time 0.913 (0.770)	Data 0.001 (0.001)	Loss 2.3538 (2.2310)	Prec@1 43.750 (44.013)	Prec@5 71.094 (74.609)
Epoch: [34][9660/14090]	Time 0.761 (0.770)	Data 0.001 (0.001)	Loss 2.2146 (2.2310)	Prec@1 44.531 (44.012)	Prec@5 75.781 (74.610)
Epoch: [34][9670/14090]	Time 0.744 (0.770)	Data 0.001 (0.001)	Loss 2.3151 (2.2309)	Prec@1 41.406 (44.014)	Prec@5 74.219 (74.610)
Epoch: [34][9680/14090]	Time 0.775 (0.770)	Data 0.001 (0.001)	Loss 2.2658 (2.2310)	Prec@1 42.188 (44.014)	Prec@5 77.344 (74.609)
Epoch: [34][9690/14090]	Time 0.747 (0.770)	Data 0.001 (0.001)	Loss 2.1723 (2.2309)	Prec@1 43.750 (44.015)	Prec@5 78.125 (74.610)
Epoch: [34][9700/14090]	Time 0.746 (0.770)	Data 0.001 (0.001)	Loss 2.2766 (2.2309)	Prec@1 42.969 (44.014)	Prec@5 75.781 (74.612)
Epoch: [34][9710/14090]	Time 0.724 (0.770)	Data 0.001 (0.001)	Loss 2.3386 (2.2308)	Prec@1 39.844 (44.017)	Prec@5 77.344 (74.613)
Epoch: [34][9720/14090]	Time 1.005 (0.770)	Data 0.001 (0.001)	Loss 2.1157 (2.2308)	Prec@1 44.531 (44.017)	Prec@5 72.656 (74.612)
Epoch: [34][9730/14090]	Time 0.740 (0.770)	Data 0.001 (0.001)	Loss 2.0766 (2.2308)	Prec@1 52.344 (44.018)	Prec@5 75.000 (74.613)
Epoch: [34][9740/14090]	Time 0.741 (0.770)	Data 0.001 (0.001)	Loss 2.4616 (2.2309)	Prec@1 38.281 (44.016)	Prec@5 74.219 (74.614)
Epoch: [34][9750/14090]	Time 0.774 (0.770)	Data 0.001 (0.001)	Loss 2.1047 (2.2308)	Prec@1 43.750 (44.019)	Prec@5 78.906 (74.616)
Epoch: [34][9760/14090]	Time 0.745 (0.770)	Data 0.001 (0.001)	Loss 2.0853 (2.2309)	Prec@1 53.906 (44.017)	Prec@5 82.031 (74.614)
Epoch: [34][9770/14090]	Time 0.734 (0.770)	Data 0.001 (0.001)	Loss 2.1859 (2.2310)	Prec@1 42.969 (44.017)	Prec@5 71.875 (74.613)
Epoch: [34][9780/14090]	Time 0.740 (0.770)	Data 0.001 (0.001)	Loss 2.4492 (2.2309)	Prec@1 40.625 (44.018)	Prec@5 71.875 (74.613)
Epoch: [34][9790/14090]	Time 0.854 (0.770)	Data 0.001 (0.001)	Loss 2.3214 (2.2309)	Prec@1 46.094 (44.017)	Prec@5 70.312 (74.612)
Epoch: [34][9800/14090]	Time 0.741 (0.770)	Data 0.001 (0.001)	Loss 1.8097 (2.2309)	Prec@1 57.031 (44.017)	Prec@5 82.812 (74.613)
Epoch: [34][9810/14090]	Time 0.734 (0.770)	Data 0.001 (0.001)	Loss 2.0793 (2.2309)	Prec@1 48.438 (44.019)	Prec@5 74.219 (74.612)
Epoch: [34][9820/14090]	Time 0.751 (0.770)	Data 0.001 (0.001)	Loss 2.3173 (2.2309)	Prec@1 39.844 (44.017)	Prec@5 70.312 (74.612)
Epoch: [34][9830/14090]	Time 0.740 (0.770)	Data 0.001 (0.001)	Loss 2.3487 (2.2311)	Prec@1 48.438 (44.013)	Prec@5 71.875 (74.608)
Epoch: [34][9840/14090]	Time 0.746 (0.770)	Data 0.001 (0.001)	Loss 2.0959 (2.2310)	Prec@1 52.344 (44.015)	Prec@5 82.031 (74.609)
Epoch: [34][9850/14090]	Time 0.765 (0.770)	Data 0.001 (0.001)	Loss 2.0565 (2.2309)	Prec@1 48.438 (44.017)	Prec@5 78.906 (74.612)
Epoch: [34][9860/14090]	Time 0.871 (0.770)	Data 0.001 (0.001)	Loss 2.2672 (2.2309)	Prec@1 46.094 (44.019)	Prec@5 75.781 (74.613)
Epoch: [34][9870/14090]	Time 0.750 (0.770)	Data 0.001 (0.001)	Loss 2.0356 (2.2308)	Prec@1 51.562 (44.018)	Prec@5 78.125 (74.614)
Epoch: [34][9880/14090]	Time 0.747 (0.770)	Data 0.001 (0.001)	Loss 2.5315 (2.2309)	Prec@1 37.500 (44.017)	Prec@5 66.406 (74.614)
Epoch: [34][9890/14090]	Time 0.781 (0.770)	Data 0.001 (0.001)	Loss 2.3403 (2.2308)	Prec@1 37.500 (44.017)	Prec@5 74.219 (74.615)
Epoch: [34][9900/14090]	Time 0.754 (0.770)	Data 0.001 (0.001)	Loss 2.3182 (2.2307)	Prec@1 43.750 (44.016)	Prec@5 68.750 (74.616)
Epoch: [34][9910/14090]	Time 0.754 (0.770)	Data 0.001 (0.001)	Loss 2.2917 (2.2308)	Prec@1 46.875 (44.015)	Prec@5 72.656 (74.616)
Epoch: [34][9920/14090]	Time 0.749 (0.770)	Data 0.001 (0.001)	Loss 2.2100 (2.2307)	Prec@1 48.438 (44.018)	Prec@5 75.000 (74.618)
Epoch: [34][9930/14090]	Time 0.854 (0.770)	Data 0.001 (0.001)	Loss 2.0822 (2.2307)	Prec@1 44.531 (44.018)	Prec@5 78.906 (74.617)
Epoch: [34][9940/14090]	Time 0.738 (0.770)	Data 0.001 (0.001)	Loss 2.0421 (2.2307)	Prec@1 38.281 (44.017)	Prec@5 75.781 (74.617)
Epoch: [34][9950/14090]	Time 0.766 (0.770)	Data 0.001 (0.001)	Loss 2.3760 (2.2306)	Prec@1 41.406 (44.017)	Prec@5 74.219 (74.619)
Epoch: [34][9960/14090]	Time 0.766 (0.770)	Data 0.001 (0.001)	Loss 2.0280 (2.2307)	Prec@1 50.000 (44.015)	Prec@5 82.031 (74.618)
Epoch: [34][9970/14090]	Time 0.758 (0.770)	Data 0.001 (0.001)	Loss 2.5868 (2.2307)	Prec@1 38.281 (44.015)	Prec@5 71.094 (74.617)
Epoch: [34][9980/14090]	Time 0.734 (0.770)	Data 0.001 (0.001)	Loss 2.4783 (2.2308)	Prec@1 36.719 (44.013)	Prec@5 70.312 (74.616)
Epoch: [34][9990/14090]	Time 0.748 (0.770)	Data 0.001 (0.001)	Loss 2.0731 (2.2307)	Prec@1 51.562 (44.015)	Prec@5 76.562 (74.617)
Epoch: [34][10000/14090]	Time 0.875 (0.770)	Data 0.001 (0.001)	Loss 2.0915 (2.2307)	Prec@1 45.312 (44.017)	Prec@5 74.219 (74.617)
Epoch: [34][10010/14090]	Time 0.744 (0.770)	Data 0.001 (0.001)	Loss 2.2316 (2.2306)	Prec@1 41.406 (44.017)	Prec@5 75.000 (74.618)
Epoch: [34][10020/14090]	Time 0.776 (0.770)	Data 0.001 (0.001)	Loss 1.9944 (2.2306)	Prec@1 52.344 (44.017)	Prec@5 75.000 (74.618)
Epoch: [34][10030/14090]	Time 0.785 (0.770)	Data 0.001 (0.001)	Loss 2.2322 (2.2306)	Prec@1 48.438 (44.019)	Prec@5 71.094 (74.619)
Epoch: [34][10040/14090]	Time 0.734 (0.770)	Data 0.001 (0.001)	Loss 2.1565 (2.2305)	Prec@1 42.188 (44.020)	Prec@5 71.875 (74.621)
Epoch: [34][10050/14090]	Time 0.752 (0.770)	Data 0.001 (0.001)	Loss 1.9427 (2.2305)	Prec@1 50.000 (44.019)	Prec@5 82.031 (74.623)
Epoch: [34][10060/14090]	Time 0.785 (0.770)	Data 0.001 (0.001)	Loss 2.5009 (2.2305)	Prec@1 36.719 (44.020)	Prec@5 69.531 (74.621)
Epoch: [34][10070/14090]	Time 0.817 (0.770)	Data 0.001 (0.001)	Loss 2.4058 (2.2304)	Prec@1 42.188 (44.021)	Prec@5 71.094 (74.622)
Epoch: [34][10080/14090]	Time 0.739 (0.770)	Data 0.001 (0.001)	Loss 2.1887 (2.2304)	Prec@1 42.969 (44.020)	Prec@5 77.344 (74.623)
Epoch: [34][10090/14090]	Time 0.759 (0.770)	Data 0.001 (0.001)	Loss 2.1150 (2.2303)	Prec@1 42.969 (44.022)	Prec@5 80.469 (74.625)
Epoch: [34][10100/14090]	Time 0.755 (0.770)	Data 0.001 (0.001)	Loss 2.4081 (2.2304)	Prec@1 38.281 (44.018)	Prec@5 73.438 (74.623)
Epoch: [34][10110/14090]	Time 0.743 (0.770)	Data 0.001 (0.001)	Loss 2.3594 (2.2304)	Prec@1 42.969 (44.018)	Prec@5 75.000 (74.623)
Epoch: [34][10120/14090]	Time 0.751 (0.770)	Data 0.001 (0.001)	Loss 2.2677 (2.2303)	Prec@1 39.844 (44.021)	Prec@5 73.438 (74.625)
Epoch: [34][10130/14090]	Time 0.762 (0.770)	Data 0.001 (0.001)	Loss 2.2414 (2.2303)	Prec@1 43.750 (44.020)	Prec@5 75.781 (74.624)
Epoch: [34][10140/14090]	Time 0.884 (0.770)	Data 0.001 (0.001)	Loss 2.1066 (2.2303)	Prec@1 46.094 (44.020)	Prec@5 73.438 (74.624)
Epoch: [34][10150/14090]	Time 0.753 (0.770)	Data 0.001 (0.001)	Loss 2.1996 (2.2304)	Prec@1 44.531 (44.020)	Prec@5 75.000 (74.624)
Epoch: [34][10160/14090]	Time 0.729 (0.770)	Data 0.001 (0.001)	Loss 2.2751 (2.2304)	Prec@1 41.406 (44.020)	Prec@5 71.875 (74.624)
Epoch: [34][10170/14090]	Time 0.732 (0.770)	Data 0.001 (0.001)	Loss 2.2591 (2.2303)	Prec@1 39.062 (44.018)	Prec@5 76.562 (74.625)
Epoch: [34][10180/14090]	Time 0.745 (0.770)	Data 0.001 (0.001)	Loss 2.4666 (2.2304)	Prec@1 36.719 (44.015)	Prec@5 69.531 (74.623)
Epoch: [34][10190/14090]	Time 0.761 (0.770)	Data 0.001 (0.001)	Loss 2.1590 (2.2304)	Prec@1 45.312 (44.017)	Prec@5 75.000 (74.623)
Epoch: [34][10200/14090]	Time 0.746 (0.770)	Data 0.001 (0.001)	Loss 2.1886 (2.2304)	Prec@1 45.312 (44.016)	Prec@5 77.344 (74.623)
Epoch: [34][10210/14090]	Time 0.883 (0.770)	Data 0.001 (0.001)	Loss 2.1399 (2.2303)	Prec@1 44.531 (44.016)	Prec@5 76.562 (74.625)
Epoch: [34][10220/14090]	Time 0.735 (0.770)	Data 0.001 (0.001)	Loss 2.1043 (2.2303)	Prec@1 46.094 (44.014)	Prec@5 72.656 (74.625)
Epoch: [34][10230/14090]	Time 0.724 (0.770)	Data 0.001 (0.001)	Loss 2.2517 (2.2302)	Prec@1 41.406 (44.016)	Prec@5 72.656 (74.626)
Epoch: [34][10240/14090]	Time 0.760 (0.770)	Data 0.001 (0.001)	Loss 2.3592 (2.2303)	Prec@1 39.844 (44.016)	Prec@5 71.875 (74.624)
Epoch: [34][10250/14090]	Time 0.762 (0.770)	Data 0.001 (0.001)	Loss 2.2840 (2.2303)	Prec@1 39.844 (44.014)	Prec@5 72.656 (74.622)
Epoch: [34][10260/14090]	Time 0.752 (0.770)	Data 0.001 (0.001)	Loss 2.2699 (2.2304)	Prec@1 42.969 (44.014)	Prec@5 75.781 (74.622)
Epoch: [34][10270/14090]	Time 0.764 (0.770)	Data 0.001 (0.001)	Loss 1.9031 (2.2303)	Prec@1 50.781 (44.015)	Prec@5 78.906 (74.622)
Epoch: [34][10280/14090]	Time 0.883 (0.770)	Data 0.001 (0.001)	Loss 2.4471 (2.2304)	Prec@1 32.812 (44.012)	Prec@5 73.438 (74.622)
Epoch: [34][10290/14090]	Time 0.722 (0.770)	Data 0.001 (0.001)	Loss 2.0903 (2.2304)	Prec@1 46.875 (44.013)	Prec@5 74.219 (74.622)
Epoch: [34][10300/14090]	Time 0.755 (0.770)	Data 0.001 (0.001)	Loss 1.8922 (2.2304)	Prec@1 52.344 (44.015)	Prec@5 78.906 (74.623)
Epoch: [34][10310/14090]	Time 0.739 (0.770)	Data 0.001 (0.001)	Loss 2.2564 (2.2304)	Prec@1 46.094 (44.015)	Prec@5 73.438 (74.623)
Epoch: [34][10320/14090]	Time 0.758 (0.770)	Data 0.001 (0.001)	Loss 2.3092 (2.2304)	Prec@1 42.188 (44.015)	Prec@5 71.875 (74.622)
Epoch: [34][10330/14090]	Time 0.765 (0.770)	Data 0.001 (0.001)	Loss 2.3376 (2.2304)	Prec@1 42.969 (44.015)	Prec@5 75.781 (74.624)
Epoch: [34][10340/14090]	Time 0.721 (0.770)	Data 0.001 (0.001)	Loss 2.2394 (2.2304)	Prec@1 41.406 (44.013)	Prec@5 72.656 (74.623)
Epoch: [34][10350/14090]	Time 0.867 (0.770)	Data 0.001 (0.001)	Loss 2.2847 (2.2305)	Prec@1 41.406 (44.012)	Prec@5 73.438 (74.621)
Epoch: [34][10360/14090]	Time 0.731 (0.770)	Data 0.001 (0.001)	Loss 2.3037 (2.2305)	Prec@1 46.875 (44.013)	Prec@5 73.438 (74.621)
Epoch: [34][10370/14090]	Time 0.736 (0.770)	Data 0.001 (0.001)	Loss 2.3925 (2.2306)	Prec@1 46.875 (44.014)	Prec@5 73.438 (74.620)
Epoch: [34][10380/14090]	Time 0.753 (0.770)	Data 0.001 (0.001)	Loss 2.2549 (2.2305)	Prec@1 43.750 (44.015)	Prec@5 77.344 (74.621)
Epoch: [34][10390/14090]	Time 0.754 (0.770)	Data 0.001 (0.001)	Loss 2.3144 (2.2306)	Prec@1 45.312 (44.014)	Prec@5 72.656 (74.619)
Epoch: [34][10400/14090]	Time 0.777 (0.770)	Data 0.001 (0.001)	Loss 2.3277 (2.2307)	Prec@1 43.750 (44.014)	Prec@5 73.438 (74.618)
Epoch: [34][10410/14090]	Time 0.736 (0.770)	Data 0.002 (0.001)	Loss 1.9828 (2.2306)	Prec@1 44.531 (44.014)	Prec@5 82.812 (74.619)
Epoch: [34][10420/14090]	Time 0.907 (0.770)	Data 0.001 (0.001)	Loss 2.4172 (2.2306)	Prec@1 39.062 (44.014)	Prec@5 74.219 (74.620)
Epoch: [34][10430/14090]	Time 0.725 (0.770)	Data 0.001 (0.001)	Loss 2.1352 (2.2306)	Prec@1 48.438 (44.015)	Prec@5 81.250 (74.621)
Epoch: [34][10440/14090]	Time 0.745 (0.770)	Data 0.001 (0.001)	Loss 2.3404 (2.2307)	Prec@1 42.969 (44.015)	Prec@5 75.000 (74.622)
Epoch: [34][10450/14090]	Time 0.741 (0.770)	Data 0.001 (0.001)	Loss 2.4130 (2.2306)	Prec@1 40.625 (44.016)	Prec@5 71.875 (74.622)
Epoch: [34][10460/14090]	Time 0.752 (0.770)	Data 0.001 (0.001)	Loss 2.2011 (2.2307)	Prec@1 52.344 (44.015)	Prec@5 75.000 (74.621)
Epoch: [34][10470/14090]	Time 0.760 (0.770)	Data 0.001 (0.001)	Loss 2.1101 (2.2307)	Prec@1 50.781 (44.014)	Prec@5 74.219 (74.621)
Epoch: [34][10480/14090]	Time 0.740 (0.770)	Data 0.001 (0.001)	Loss 2.2807 (2.2307)	Prec@1 39.062 (44.014)	Prec@5 75.000 (74.621)
Epoch: [34][10490/14090]	Time 0.899 (0.770)	Data 0.001 (0.001)	Loss 2.1742 (2.2307)	Prec@1 50.000 (44.016)	Prec@5 73.438 (74.622)
Epoch: [34][10500/14090]	Time 0.763 (0.770)	Data 0.001 (0.001)	Loss 2.1415 (2.2307)	Prec@1 47.656 (44.017)	Prec@5 78.125 (74.623)
Epoch: [34][10510/14090]	Time 0.765 (0.770)	Data 0.001 (0.001)	Loss 1.7294 (2.2306)	Prec@1 56.250 (44.018)	Prec@5 84.375 (74.625)
Epoch: [34][10520/14090]	Time 0.735 (0.770)	Data 0.001 (0.001)	Loss 2.0850 (2.2306)	Prec@1 46.094 (44.016)	Prec@5 72.656 (74.624)
Epoch: [34][10530/14090]	Time 0.742 (0.770)	Data 0.001 (0.001)	Loss 2.2694 (2.2306)	Prec@1 38.281 (44.016)	Prec@5 74.219 (74.624)
Epoch: [34][10540/14090]	Time 0.739 (0.770)	Data 0.001 (0.001)	Loss 2.0386 (2.2306)	Prec@1 46.094 (44.015)	Prec@5 73.438 (74.624)
Epoch: [34][10550/14090]	Time 0.732 (0.770)	Data 0.001 (0.001)	Loss 2.1980 (2.2306)	Prec@1 42.188 (44.013)	Prec@5 76.562 (74.623)
Epoch: [34][10560/14090]	Time 0.890 (0.770)	Data 0.001 (0.001)	Loss 2.4259 (2.2307)	Prec@1 38.281 (44.012)	Prec@5 71.094 (74.621)
Epoch: [34][10570/14090]	Time 0.731 (0.770)	Data 0.001 (0.001)	Loss 2.4309 (2.2308)	Prec@1 37.500 (44.011)	Prec@5 69.531 (74.619)
Epoch: [34][10580/14090]	Time 0.729 (0.770)	Data 0.001 (0.001)	Loss 2.1791 (2.2308)	Prec@1 45.312 (44.011)	Prec@5 75.781 (74.619)
Epoch: [34][10590/14090]	Time 0.794 (0.770)	Data 0.001 (0.001)	Loss 2.4649 (2.2307)	Prec@1 37.500 (44.013)	Prec@5 69.531 (74.619)
Epoch: [34][10600/14090]	Time 0.726 (0.770)	Data 0.001 (0.001)	Loss 2.2720 (2.2307)	Prec@1 46.875 (44.013)	Prec@5 71.875 (74.620)
Epoch: [34][10610/14090]	Time 0.732 (0.770)	Data 0.001 (0.001)	Loss 2.2331 (2.2307)	Prec@1 42.969 (44.014)	Prec@5 71.094 (74.621)
Epoch: [34][10620/14090]	Time 0.746 (0.770)	Data 0.001 (0.001)	Loss 2.1287 (2.2307)	Prec@1 45.312 (44.015)	Prec@5 75.781 (74.621)
Epoch: [34][10630/14090]	Time 0.906 (0.770)	Data 0.001 (0.001)	Loss 2.2169 (2.2306)	Prec@1 41.406 (44.015)	Prec@5 71.875 (74.621)
Epoch: [34][10640/14090]	Time 0.779 (0.770)	Data 0.002 (0.001)	Loss 2.0672 (2.2306)	Prec@1 47.656 (44.015)	Prec@5 78.125 (74.621)
Epoch: [34][10650/14090]	Time 0.742 (0.770)	Data 0.001 (0.001)	Loss 2.1869 (2.2307)	Prec@1 42.188 (44.013)	Prec@5 78.906 (74.621)
Epoch: [34][10660/14090]	Time 0.740 (0.770)	Data 0.001 (0.001)	Loss 2.1633 (2.2307)	Prec@1 47.656 (44.014)	Prec@5 76.562 (74.621)
Epoch: [34][10670/14090]	Time 0.767 (0.770)	Data 0.001 (0.001)	Loss 2.2195 (2.2307)	Prec@1 46.875 (44.013)	Prec@5 71.094 (74.620)
Epoch: [34][10680/14090]	Time 0.744 (0.770)	Data 0.001 (0.001)	Loss 1.8804 (2.2307)	Prec@1 51.562 (44.015)	Prec@5 77.344 (74.619)
Epoch: [34][10690/14090]	Time 0.772 (0.770)	Data 0.001 (0.001)	Loss 2.2572 (2.2307)	Prec@1 48.438 (44.014)	Prec@5 72.656 (74.617)
Epoch: [34][10700/14090]	Time 0.865 (0.770)	Data 0.001 (0.001)	Loss 2.3628 (2.2307)	Prec@1 44.531 (44.014)	Prec@5 70.312 (74.617)
Epoch: [34][10710/14090]	Time 0.742 (0.770)	Data 0.001 (0.001)	Loss 2.1716 (2.2308)	Prec@1 42.969 (44.013)	Prec@5 73.438 (74.615)
Epoch: [34][10720/14090]	Time 0.724 (0.770)	Data 0.001 (0.001)	Loss 2.4260 (2.2308)	Prec@1 38.281 (44.012)	Prec@5 71.094 (74.614)
Epoch: [34][10730/14090]	Time 0.767 (0.770)	Data 0.001 (0.001)	Loss 2.3549 (2.2309)	Prec@1 41.406 (44.009)	Prec@5 74.219 (74.613)
Epoch: [34][10740/14090]	Time 0.758 (0.770)	Data 0.001 (0.001)	Loss 2.2311 (2.2310)	Prec@1 39.844 (44.006)	Prec@5 75.781 (74.611)
Epoch: [34][10750/14090]	Time 0.756 (0.770)	Data 0.001 (0.001)	Loss 2.1276 (2.2310)	Prec@1 45.312 (44.006)	Prec@5 74.219 (74.612)
Epoch: [34][10760/14090]	Time 0.739 (0.770)	Data 0.001 (0.001)	Loss 1.7955 (2.2310)	Prec@1 50.000 (44.006)	Prec@5 85.938 (74.613)
Epoch: [34][10770/14090]	Time 0.887 (0.770)	Data 0.001 (0.001)	Loss 2.2176 (2.2310)	Prec@1 41.406 (44.005)	Prec@5 76.562 (74.611)
Epoch: [34][10780/14090]	Time 0.772 (0.770)	Data 0.001 (0.001)	Loss 2.0480 (2.2310)	Prec@1 50.000 (44.005)	Prec@5 78.906 (74.611)
Epoch: [34][10790/14090]	Time 0.740 (0.770)	Data 0.001 (0.001)	Loss 2.2829 (2.2310)	Prec@1 45.312 (44.004)	Prec@5 74.219 (74.611)
Epoch: [34][10800/14090]	Time 0.754 (0.770)	Data 0.001 (0.001)	Loss 2.1897 (2.2310)	Prec@1 42.188 (44.003)	Prec@5 75.000 (74.611)
Epoch: [34][10810/14090]	Time 0.756 (0.770)	Data 0.001 (0.001)	Loss 2.0629 (2.2310)	Prec@1 45.312 (44.002)	Prec@5 72.656 (74.611)
Epoch: [34][10820/14090]	Time 0.753 (0.770)	Data 0.001 (0.001)	Loss 2.3010 (2.2310)	Prec@1 42.188 (44.002)	Prec@5 76.562 (74.612)
Epoch: [34][10830/14090]	Time 0.737 (0.770)	Data 0.001 (0.001)	Loss 2.2319 (2.2310)	Prec@1 36.719 (44.003)	Prec@5 73.438 (74.612)
Epoch: [34][10840/14090]	Time 0.861 (0.770)	Data 0.001 (0.001)	Loss 2.1459 (2.2310)	Prec@1 46.875 (44.003)	Prec@5 79.688 (74.613)
Epoch: [34][10850/14090]	Time 0.723 (0.770)	Data 0.001 (0.001)	Loss 2.1439 (2.2309)	Prec@1 50.000 (44.004)	Prec@5 72.656 (74.614)
Epoch: [34][10860/14090]	Time 0.735 (0.770)	Data 0.001 (0.001)	Loss 2.4120 (2.2309)	Prec@1 39.844 (44.005)	Prec@5 69.531 (74.614)
Epoch: [34][10870/14090]	Time 0.743 (0.770)	Data 0.001 (0.001)	Loss 2.3148 (2.2308)	Prec@1 44.531 (44.006)	Prec@5 70.312 (74.613)
Epoch: [34][10880/14090]	Time 0.762 (0.770)	Data 0.001 (0.001)	Loss 2.1697 (2.2308)	Prec@1 47.656 (44.007)	Prec@5 71.094 (74.615)
Epoch: [34][10890/14090]	Time 0.744 (0.770)	Data 0.001 (0.001)	Loss 2.1467 (2.2307)	Prec@1 40.625 (44.007)	Prec@5 76.562 (74.616)
Epoch: [34][10900/14090]	Time 0.773 (0.770)	Data 0.001 (0.001)	Loss 2.2412 (2.2307)	Prec@1 43.750 (44.008)	Prec@5 73.438 (74.614)
Epoch: [34][10910/14090]	Time 0.842 (0.770)	Data 0.001 (0.001)	Loss 1.9983 (2.2307)	Prec@1 46.094 (44.009)	Prec@5 78.125 (74.614)
Epoch: [34][10920/14090]	Time 0.731 (0.770)	Data 0.001 (0.001)	Loss 2.3159 (2.2308)	Prec@1 42.969 (44.008)	Prec@5 76.562 (74.611)
Epoch: [34][10930/14090]	Time 0.761 (0.770)	Data 0.001 (0.001)	Loss 2.3455 (2.2308)	Prec@1 46.875 (44.009)	Prec@5 75.000 (74.611)
Epoch: [34][10940/14090]	Time 0.773 (0.770)	Data 0.003 (0.001)	Loss 2.6223 (2.2309)	Prec@1 34.375 (44.009)	Prec@5 71.094 (74.611)
Epoch: [34][10950/14090]	Time 0.756 (0.770)	Data 0.001 (0.001)	Loss 2.2055 (2.2309)	Prec@1 37.500 (44.006)	Prec@5 78.125 (74.611)
Epoch: [34][10960/14090]	Time 0.749 (0.770)	Data 0.001 (0.001)	Loss 1.8480 (2.2308)	Prec@1 52.344 (44.008)	Prec@5 80.469 (74.612)
Epoch: [34][10970/14090]	Time 0.794 (0.770)	Data 0.001 (0.001)	Loss 2.2294 (2.2309)	Prec@1 43.750 (44.006)	Prec@5 76.562 (74.613)
Epoch: [34][10980/14090]	Time 0.909 (0.770)	Data 0.001 (0.001)	Loss 2.1147 (2.2309)	Prec@1 43.750 (44.006)	Prec@5 73.438 (74.612)
Epoch: [34][10990/14090]	Time 0.789 (0.770)	Data 0.001 (0.001)	Loss 2.1728 (2.2309)	Prec@1 45.312 (44.007)	Prec@5 74.219 (74.615)
Epoch: [34][11000/14090]	Time 0.755 (0.770)	Data 0.001 (0.001)	Loss 2.2584 (2.2308)	Prec@1 40.625 (44.008)	Prec@5 78.125 (74.614)
Epoch: [34][11010/14090]	Time 0.764 (0.770)	Data 0.001 (0.001)	Loss 2.3330 (2.2309)	Prec@1 43.750 (44.007)	Prec@5 75.781 (74.615)
Epoch: [34][11020/14090]	Time 0.755 (0.770)	Data 0.001 (0.001)	Loss 2.2506 (2.2308)	Prec@1 50.781 (44.009)	Prec@5 73.438 (74.616)
Epoch: [34][11030/14090]	Time 0.775 (0.770)	Data 0.001 (0.001)	Loss 2.2453 (2.2308)	Prec@1 41.406 (44.009)	Prec@5 71.875 (74.617)
Epoch: [34][11040/14090]	Time 0.744 (0.770)	Data 0.001 (0.001)	Loss 2.0580 (2.2307)	Prec@1 44.531 (44.010)	Prec@5 81.250 (74.619)
Epoch: [34][11050/14090]	Time 0.873 (0.770)	Data 0.001 (0.001)	Loss 2.2675 (2.2307)	Prec@1 47.656 (44.011)	Prec@5 72.656 (74.620)
Epoch: [34][11060/14090]	Time 0.725 (0.770)	Data 0.001 (0.001)	Loss 2.3438 (2.2307)	Prec@1 39.844 (44.011)	Prec@5 72.656 (74.619)
Epoch: [34][11070/14090]	Time 0.775 (0.770)	Data 0.002 (0.001)	Loss 2.0919 (2.2307)	Prec@1 47.656 (44.012)	Prec@5 80.469 (74.620)
Epoch: [34][11080/14090]	Time 0.758 (0.770)	Data 0.001 (0.001)	Loss 2.4604 (2.2308)	Prec@1 35.156 (44.010)	Prec@5 67.188 (74.619)
Epoch: [34][11090/14090]	Time 0.753 (0.770)	Data 0.001 (0.001)	Loss 2.0613 (2.2308)	Prec@1 47.656 (44.010)	Prec@5 77.344 (74.619)
Epoch: [34][11100/14090]	Time 0.766 (0.770)	Data 0.001 (0.001)	Loss 2.6752 (2.2308)	Prec@1 34.375 (44.009)	Prec@5 69.531 (74.619)
Epoch: [34][11110/14090]	Time 0.762 (0.770)	Data 0.001 (0.001)	Loss 2.2118 (2.2308)	Prec@1 35.156 (44.009)	Prec@5 77.344 (74.620)
Epoch: [34][11120/14090]	Time 0.876 (0.770)	Data 0.001 (0.001)	Loss 2.4406 (2.2308)	Prec@1 35.156 (44.008)	Prec@5 68.750 (74.618)
Epoch: [34][11130/14090]	Time 0.770 (0.770)	Data 0.001 (0.001)	Loss 2.0138 (2.2309)	Prec@1 51.562 (44.009)	Prec@5 75.781 (74.618)
Epoch: [34][11140/14090]	Time 0.730 (0.770)	Data 0.001 (0.001)	Loss 2.1591 (2.2308)	Prec@1 40.625 (44.011)	Prec@5 78.906 (74.620)
Epoch: [34][11150/14090]	Time 0.728 (0.770)	Data 0.001 (0.001)	Loss 2.3034 (2.2309)	Prec@1 42.188 (44.009)	Prec@5 68.750 (74.618)
Epoch: [34][11160/14090]	Time 0.748 (0.770)	Data 0.001 (0.001)	Loss 2.2664 (2.2309)	Prec@1 37.500 (44.008)	Prec@5 72.656 (74.617)
Epoch: [34][11170/14090]	Time 0.723 (0.770)	Data 0.001 (0.001)	Loss 2.1541 (2.2309)	Prec@1 47.656 (44.009)	Prec@5 78.125 (74.618)
Epoch: [34][11180/14090]	Time 0.762 (0.770)	Data 0.001 (0.001)	Loss 2.6928 (2.2308)	Prec@1 39.844 (44.011)	Prec@5 68.750 (74.618)
Epoch: [34][11190/14090]	Time 0.881 (0.770)	Data 0.001 (0.001)	Loss 2.0452 (2.2308)	Prec@1 49.219 (44.012)	Prec@5 81.250 (74.620)
Epoch: [34][11200/14090]	Time 0.754 (0.770)	Data 0.001 (0.001)	Loss 1.9505 (2.2307)	Prec@1 48.438 (44.013)	Prec@5 78.906 (74.622)
Epoch: [34][11210/14090]	Time 0.766 (0.770)	Data 0.001 (0.001)	Loss 2.3936 (2.2306)	Prec@1 46.094 (44.015)	Prec@5 73.438 (74.622)
Epoch: [34][11220/14090]	Time 0.724 (0.770)	Data 0.001 (0.001)	Loss 2.1723 (2.2306)	Prec@1 39.062 (44.014)	Prec@5 76.562 (74.622)
Epoch: [34][11230/14090]	Time 0.759 (0.770)	Data 0.001 (0.001)	Loss 2.0618 (2.2307)	Prec@1 42.969 (44.014)	Prec@5 78.125 (74.622)
Epoch: [34][11240/14090]	Time 0.774 (0.770)	Data 0.001 (0.001)	Loss 2.4656 (2.2306)	Prec@1 32.812 (44.013)	Prec@5 75.000 (74.622)
Epoch: [34][11250/14090]	Time 0.748 (0.770)	Data 0.001 (0.001)	Loss 2.3953 (2.2307)	Prec@1 41.406 (44.012)	Prec@5 70.312 (74.622)
Epoch: [34][11260/14090]	Time 0.913 (0.770)	Data 0.001 (0.001)	Loss 2.1982 (2.2306)	Prec@1 47.656 (44.014)	Prec@5 74.219 (74.622)
Epoch: [34][11270/14090]	Time 0.731 (0.770)	Data 0.001 (0.001)	Loss 2.1317 (2.2306)	Prec@1 43.750 (44.015)	Prec@5 78.125 (74.622)
Epoch: [34][11280/14090]	Time 0.777 (0.770)	Data 0.001 (0.001)	Loss 2.2857 (2.2306)	Prec@1 44.531 (44.015)	Prec@5 71.875 (74.621)
Epoch: [34][11290/14090]	Time 0.748 (0.770)	Data 0.001 (0.001)	Loss 1.9220 (2.2306)	Prec@1 50.000 (44.016)	Prec@5 78.125 (74.622)
Epoch: [34][11300/14090]	Time 0.772 (0.770)	Data 0.002 (0.001)	Loss 2.4191 (2.2306)	Prec@1 41.406 (44.017)	Prec@5 67.188 (74.621)
Epoch: [34][11310/14090]	Time 0.753 (0.770)	Data 0.001 (0.001)	Loss 2.4594 (2.2306)	Prec@1 39.844 (44.018)	Prec@5 66.406 (74.621)
Epoch: [34][11320/14090]	Time 0.728 (0.770)	Data 0.001 (0.001)	Loss 2.6344 (2.2307)	Prec@1 40.625 (44.017)	Prec@5 66.406 (74.619)
Epoch: [34][11330/14090]	Time 0.839 (0.770)	Data 0.001 (0.001)	Loss 2.1995 (2.2307)	Prec@1 45.312 (44.017)	Prec@5 74.219 (74.619)
Epoch: [34][11340/14090]	Time 0.754 (0.770)	Data 0.001 (0.001)	Loss 2.4372 (2.2307)	Prec@1 35.156 (44.017)	Prec@5 70.312 (74.619)
Epoch: [34][11350/14090]	Time 0.744 (0.770)	Data 0.001 (0.001)	Loss 2.1081 (2.2307)	Prec@1 42.969 (44.016)	Prec@5 71.875 (74.618)
Epoch: [34][11360/14090]	Time 0.753 (0.770)	Data 0.001 (0.001)	Loss 2.5208 (2.2307)	Prec@1 41.406 (44.018)	Prec@5 69.531 (74.619)
Epoch: [34][11370/14090]	Time 0.741 (0.770)	Data 0.001 (0.001)	Loss 2.2205 (2.2307)	Prec@1 41.406 (44.018)	Prec@5 75.781 (74.620)
Epoch: [34][11380/14090]	Time 0.785 (0.770)	Data 0.001 (0.001)	Loss 2.3528 (2.2307)	Prec@1 39.844 (44.018)	Prec@5 72.656 (74.619)
Epoch: [34][11390/14090]	Time 0.757 (0.770)	Data 0.001 (0.001)	Loss 2.1395 (2.2308)	Prec@1 47.656 (44.017)	Prec@5 77.344 (74.617)
Epoch: [34][11400/14090]	Time 0.983 (0.770)	Data 0.001 (0.001)	Loss 2.4517 (2.2308)	Prec@1 39.844 (44.016)	Prec@5 66.406 (74.615)
Epoch: [34][11410/14090]	Time 0.751 (0.770)	Data 0.001 (0.001)	Loss 2.1939 (2.2308)	Prec@1 46.875 (44.017)	Prec@5 77.344 (74.617)
Epoch: [34][11420/14090]	Time 0.770 (0.770)	Data 0.001 (0.001)	Loss 2.1503 (2.2309)	Prec@1 49.219 (44.016)	Prec@5 74.219 (74.615)
Epoch: [34][11430/14090]	Time 0.746 (0.770)	Data 0.001 (0.001)	Loss 2.0929 (2.2308)	Prec@1 46.875 (44.018)	Prec@5 76.562 (74.615)
Epoch: [34][11440/14090]	Time 0.769 (0.770)	Data 0.001 (0.001)	Loss 2.2727 (2.2308)	Prec@1 39.062 (44.017)	Prec@5 71.094 (74.615)
Epoch: [34][11450/14090]	Time 0.760 (0.770)	Data 0.001 (0.001)	Loss 2.2656 (2.2309)	Prec@1 44.531 (44.015)	Prec@5 72.656 (74.614)
Epoch: [34][11460/14090]	Time 0.765 (0.770)	Data 0.001 (0.001)	Loss 2.2529 (2.2309)	Prec@1 35.156 (44.015)	Prec@5 75.781 (74.614)
Epoch: [34][11470/14090]	Time 0.831 (0.770)	Data 0.001 (0.001)	Loss 2.2893 (2.2309)	Prec@1 42.188 (44.015)	Prec@5 76.562 (74.615)
Epoch: [34][11480/14090]	Time 0.734 (0.770)	Data 0.001 (0.001)	Loss 2.2164 (2.2309)	Prec@1 39.844 (44.014)	Prec@5 69.531 (74.615)
Epoch: [34][11490/14090]	Time 0.774 (0.770)	Data 0.001 (0.001)	Loss 2.4400 (2.2310)	Prec@1 36.719 (44.011)	Prec@5 67.188 (74.614)
Epoch: [34][11500/14090]	Time 0.753 (0.770)	Data 0.001 (0.001)	Loss 2.3906 (2.2311)	Prec@1 42.188 (44.010)	Prec@5 70.312 (74.611)
Epoch: [34][11510/14090]	Time 0.774 (0.770)	Data 0.001 (0.001)	Loss 2.3526 (2.2312)	Prec@1 41.406 (44.007)	Prec@5 77.344 (74.610)
Epoch: [34][11520/14090]	Time 0.748 (0.770)	Data 0.001 (0.001)	Loss 2.1184 (2.2312)	Prec@1 46.094 (44.006)	Prec@5 81.250 (74.609)
Epoch: [34][11530/14090]	Time 0.731 (0.770)	Data 0.001 (0.001)	Loss 2.4118 (2.2313)	Prec@1 40.625 (44.006)	Prec@5 66.406 (74.607)
Epoch: [34][11540/14090]	Time 0.893 (0.770)	Data 0.001 (0.001)	Loss 2.2106 (2.2313)	Prec@1 48.438 (44.006)	Prec@5 78.906 (74.608)
Epoch: [34][11550/14090]	Time 0.734 (0.770)	Data 0.001 (0.001)	Loss 2.5415 (2.2314)	Prec@1 40.625 (44.005)	Prec@5 71.875 (74.608)
Epoch: [34][11560/14090]	Time 0.734 (0.770)	Data 0.001 (0.001)	Loss 2.0651 (2.2314)	Prec@1 47.656 (44.005)	Prec@5 78.906 (74.608)
Epoch: [34][11570/14090]	Time 0.743 (0.770)	Data 0.001 (0.001)	Loss 2.2083 (2.2314)	Prec@1 39.844 (44.004)	Prec@5 75.781 (74.609)
Epoch: [34][11580/14090]	Time 0.740 (0.770)	Data 0.001 (0.001)	Loss 2.1616 (2.2314)	Prec@1 43.750 (44.004)	Prec@5 78.125 (74.609)
Epoch: [34][11590/14090]	Time 0.759 (0.770)	Data 0.001 (0.001)	Loss 2.3699 (2.2313)	Prec@1 38.281 (44.003)	Prec@5 72.656 (74.609)
Epoch: [34][11600/14090]	Time 0.734 (0.770)	Data 0.001 (0.001)	Loss 2.2007 (2.2313)	Prec@1 42.969 (44.004)	Prec@5 75.781 (74.610)
Epoch: [34][11610/14090]	Time 0.873 (0.770)	Data 0.001 (0.001)	Loss 2.1736 (2.2313)	Prec@1 45.312 (44.004)	Prec@5 72.656 (74.610)
Epoch: [34][11620/14090]	Time 0.764 (0.770)	Data 0.001 (0.001)	Loss 2.0480 (2.2313)	Prec@1 50.781 (44.005)	Prec@5 80.469 (74.611)
Epoch: [34][11630/14090]	Time 0.751 (0.770)	Data 0.001 (0.001)	Loss 2.0421 (2.2313)	Prec@1 51.562 (44.004)	Prec@5 81.250 (74.610)
Epoch: [34][11640/14090]	Time 0.783 (0.770)	Data 0.001 (0.001)	Loss 2.0642 (2.2314)	Prec@1 47.656 (44.004)	Prec@5 73.438 (74.609)
Epoch: [34][11650/14090]	Time 0.729 (0.770)	Data 0.001 (0.001)	Loss 2.1312 (2.2314)	Prec@1 44.531 (44.004)	Prec@5 76.562 (74.610)
Epoch: [34][11660/14090]	Time 0.757 (0.770)	Data 0.001 (0.001)	Loss 2.3929 (2.2314)	Prec@1 41.406 (44.003)	Prec@5 73.438 (74.609)
Epoch: [34][11670/14090]	Time 0.729 (0.770)	Data 0.001 (0.001)	Loss 2.2875 (2.2314)	Prec@1 45.312 (44.005)	Prec@5 75.781 (74.609)
Epoch: [34][11680/14090]	Time 0.898 (0.770)	Data 0.001 (0.001)	Loss 2.1251 (2.2313)	Prec@1 50.781 (44.006)	Prec@5 72.656 (74.610)
Epoch: [34][11690/14090]	Time 0.774 (0.770)	Data 0.001 (0.001)	Loss 2.4827 (2.2314)	Prec@1 35.156 (44.005)	Prec@5 69.531 (74.609)
Epoch: [34][11700/14090]	Time 0.727 (0.770)	Data 0.001 (0.001)	Loss 2.1329 (2.2313)	Prec@1 42.188 (44.006)	Prec@5 77.344 (74.609)
Epoch: [34][11710/14090]	Time 0.735 (0.770)	Data 0.001 (0.001)	Loss 2.3391 (2.2314)	Prec@1 46.875 (44.005)	Prec@5 71.875 (74.608)
Epoch: [34][11720/14090]	Time 0.757 (0.770)	Data 0.001 (0.001)	Loss 2.4265 (2.2314)	Prec@1 37.500 (44.004)	Prec@5 68.750 (74.608)
Epoch: [34][11730/14090]	Time 0.757 (0.770)	Data 0.001 (0.001)	Loss 2.1890 (2.2315)	Prec@1 39.844 (44.002)	Prec@5 73.438 (74.605)
Epoch: [34][11740/14090]	Time 0.745 (0.770)	Data 0.001 (0.001)	Loss 2.2751 (2.2315)	Prec@1 40.625 (44.001)	Prec@5 78.125 (74.604)
Epoch: [34][11750/14090]	Time 0.865 (0.770)	Data 0.001 (0.001)	Loss 2.1239 (2.2315)	Prec@1 44.531 (44.003)	Prec@5 76.562 (74.604)
Epoch: [34][11760/14090]	Time 0.776 (0.770)	Data 0.001 (0.001)	Loss 2.1119 (2.2315)	Prec@1 47.656 (44.004)	Prec@5 74.219 (74.605)
Epoch: [34][11770/14090]	Time 0.722 (0.770)	Data 0.001 (0.001)	Loss 2.4280 (2.2314)	Prec@1 42.969 (44.003)	Prec@5 71.094 (74.606)
Epoch: [34][11780/14090]	Time 0.740 (0.770)	Data 0.001 (0.001)	Loss 1.9188 (2.2314)	Prec@1 51.562 (44.003)	Prec@5 82.031 (74.605)
Epoch: [34][11790/14090]	Time 0.730 (0.770)	Data 0.001 (0.001)	Loss 1.9973 (2.2314)	Prec@1 48.438 (44.004)	Prec@5 81.250 (74.606)
Epoch: [34][11800/14090]	Time 0.740 (0.770)	Data 0.001 (0.001)	Loss 2.1190 (2.2314)	Prec@1 55.469 (44.006)	Prec@5 78.906 (74.606)
Epoch: [34][11810/14090]	Time 0.735 (0.770)	Data 0.001 (0.001)	Loss 2.2226 (2.2314)	Prec@1 45.312 (44.006)	Prec@5 74.219 (74.606)
Epoch: [34][11820/14090]	Time 0.889 (0.770)	Data 0.001 (0.001)	Loss 2.2014 (2.2315)	Prec@1 45.312 (44.005)	Prec@5 74.219 (74.605)
Epoch: [34][11830/14090]	Time 0.741 (0.770)	Data 0.001 (0.001)	Loss 2.2673 (2.2315)	Prec@1 42.969 (44.004)	Prec@5 71.094 (74.604)
Epoch: [34][11840/14090]	Time 0.743 (0.770)	Data 0.001 (0.001)	Loss 2.1636 (2.2315)	Prec@1 45.312 (44.004)	Prec@5 72.656 (74.604)
Epoch: [34][11850/14090]	Time 0.732 (0.770)	Data 0.001 (0.001)	Loss 2.1753 (2.2316)	Prec@1 45.312 (44.003)	Prec@5 75.781 (74.602)
Epoch: [34][11860/14090]	Time 0.728 (0.770)	Data 0.001 (0.001)	Loss 2.5746 (2.2317)	Prec@1 33.594 (44.000)	Prec@5 64.844 (74.601)
Epoch: [34][11870/14090]	Time 0.771 (0.770)	Data 0.001 (0.001)	Loss 2.3002 (2.2317)	Prec@1 35.938 (44.001)	Prec@5 73.438 (74.600)
Epoch: [34][11880/14090]	Time 0.745 (0.770)	Data 0.001 (0.001)	Loss 2.4186 (2.2317)	Prec@1 46.094 (44.002)	Prec@5 70.312 (74.600)
Epoch: [34][11890/14090]	Time 0.892 (0.770)	Data 0.001 (0.001)	Loss 2.0991 (2.2317)	Prec@1 44.531 (44.002)	Prec@5 77.344 (74.600)
Epoch: [34][11900/14090]	Time 0.739 (0.770)	Data 0.001 (0.001)	Loss 2.2327 (2.2317)	Prec@1 38.281 (44.001)	Prec@5 75.781 (74.600)
Epoch: [34][11910/14090]	Time 0.744 (0.770)	Data 0.001 (0.001)	Loss 2.3356 (2.2317)	Prec@1 40.625 (44.001)	Prec@5 75.000 (74.600)
Epoch: [34][11920/14090]	Time 0.768 (0.770)	Data 0.001 (0.001)	Loss 2.4129 (2.2318)	Prec@1 46.875 (44.000)	Prec@5 71.875 (74.599)
Epoch: [34][11930/14090]	Time 0.771 (0.770)	Data 0.001 (0.001)	Loss 2.2985 (2.2319)	Prec@1 42.969 (43.998)	Prec@5 70.312 (74.597)
Epoch: [34][11940/14090]	Time 0.756 (0.770)	Data 0.001 (0.001)	Loss 2.1722 (2.2319)	Prec@1 40.625 (43.998)	Prec@5 75.000 (74.598)
Epoch: [34][11950/14090]	Time 0.785 (0.770)	Data 0.001 (0.001)	Loss 2.1310 (2.2319)	Prec@1 43.750 (43.996)	Prec@5 78.125 (74.598)
Epoch: [34][11960/14090]	Time 0.873 (0.770)	Data 0.001 (0.001)	Loss 2.2444 (2.2319)	Prec@1 43.750 (43.994)	Prec@5 76.562 (74.599)
Epoch: [34][11970/14090]	Time 0.746 (0.770)	Data 0.001 (0.001)	Loss 2.3277 (2.2320)	Prec@1 42.188 (43.992)	Prec@5 71.094 (74.598)
Epoch: [34][11980/14090]	Time 0.772 (0.770)	Data 0.001 (0.001)	Loss 2.1951 (2.2320)	Prec@1 44.531 (43.991)	Prec@5 75.781 (74.598)
Epoch: [34][11990/14090]	Time 0.730 (0.770)	Data 0.001 (0.001)	Loss 2.3508 (2.2320)	Prec@1 43.750 (43.991)	Prec@5 71.094 (74.598)
Epoch: [34][12000/14090]	Time 0.737 (0.770)	Data 0.001 (0.001)	Loss 2.4507 (2.2320)	Prec@1 44.531 (43.991)	Prec@5 67.969 (74.597)
Epoch: [34][12010/14090]	Time 0.764 (0.770)	Data 0.001 (0.001)	Loss 2.8408 (2.2320)	Prec@1 28.906 (43.991)	Prec@5 67.188 (74.598)
Epoch: [34][12020/14090]	Time 0.735 (0.770)	Data 0.001 (0.001)	Loss 2.5865 (2.2321)	Prec@1 38.281 (43.990)	Prec@5 74.219 (74.599)
Epoch: [34][12030/14090]	Time 0.851 (0.770)	Data 0.001 (0.001)	Loss 2.4388 (2.2321)	Prec@1 35.938 (43.988)	Prec@5 74.219 (74.598)
Epoch: [34][12040/14090]	Time 0.743 (0.770)	Data 0.001 (0.001)	Loss 2.1955 (2.2321)	Prec@1 46.875 (43.988)	Prec@5 73.438 (74.599)
Epoch: [34][12050/14090]	Time 0.767 (0.770)	Data 0.001 (0.001)	Loss 2.0757 (2.2320)	Prec@1 50.781 (43.990)	Prec@5 76.562 (74.601)
Epoch: [34][12060/14090]	Time 0.732 (0.770)	Data 0.001 (0.001)	Loss 2.5852 (2.2321)	Prec@1 36.719 (43.990)	Prec@5 67.969 (74.599)
Epoch: [34][12070/14090]	Time 0.723 (0.770)	Data 0.001 (0.001)	Loss 2.1210 (2.2321)	Prec@1 50.000 (43.989)	Prec@5 75.000 (74.599)
Epoch: [34][12080/14090]	Time 0.756 (0.770)	Data 0.001 (0.001)	Loss 2.2906 (2.2321)	Prec@1 41.406 (43.988)	Prec@5 74.219 (74.599)
Epoch: [34][12090/14090]	Time 0.755 (0.770)	Data 0.001 (0.001)	Loss 2.4463 (2.2321)	Prec@1 39.062 (43.989)	Prec@5 72.656 (74.600)
Epoch: [34][12100/14090]	Time 0.886 (0.770)	Data 0.001 (0.001)	Loss 2.3458 (2.2321)	Prec@1 42.188 (43.989)	Prec@5 74.219 (74.599)
Epoch: [34][12110/14090]	Time 0.737 (0.770)	Data 0.001 (0.001)	Loss 2.0973 (2.2321)	Prec@1 45.312 (43.989)	Prec@5 75.781 (74.599)
Epoch: [34][12120/14090]	Time 0.730 (0.770)	Data 0.001 (0.001)	Loss 2.3870 (2.2321)	Prec@1 35.156 (43.987)	Prec@5 73.438 (74.599)
Epoch: [34][12130/14090]	Time 0.760 (0.770)	Data 0.001 (0.001)	Loss 2.1402 (2.2322)	Prec@1 46.094 (43.986)	Prec@5 78.125 (74.598)
Epoch: [34][12140/14090]	Time 0.779 (0.770)	Data 0.001 (0.001)	Loss 2.2207 (2.2322)	Prec@1 42.969 (43.985)	Prec@5 74.219 (74.598)
Epoch: [34][12150/14090]	Time 0.761 (0.770)	Data 0.001 (0.001)	Loss 2.4694 (2.2322)	Prec@1 38.281 (43.985)	Prec@5 64.844 (74.598)
Epoch: [34][12160/14090]	Time 0.738 (0.770)	Data 0.001 (0.001)	Loss 2.1935 (2.2322)	Prec@1 46.875 (43.985)	Prec@5 70.312 (74.597)
Epoch: [34][12170/14090]	Time 0.874 (0.770)	Data 0.001 (0.001)	Loss 2.4569 (2.2322)	Prec@1 47.656 (43.985)	Prec@5 67.969 (74.597)
Epoch: [34][12180/14090]	Time 0.733 (0.770)	Data 0.001 (0.001)	Loss 2.4476 (2.2322)	Prec@1 42.969 (43.987)	Prec@5 70.312 (74.597)
Epoch: [34][12190/14090]	Time 0.744 (0.770)	Data 0.001 (0.001)	Loss 2.0340 (2.2322)	Prec@1 50.781 (43.987)	Prec@5 79.688 (74.597)
Epoch: [34][12200/14090]	Time 0.766 (0.770)	Data 0.001 (0.001)	Loss 2.3073 (2.2321)	Prec@1 42.188 (43.988)	Prec@5 69.531 (74.597)
Epoch: [34][12210/14090]	Time 0.742 (0.770)	Data 0.001 (0.001)	Loss 2.3542 (2.2322)	Prec@1 44.531 (43.986)	Prec@5 76.562 (74.596)
Epoch: [34][12220/14090]	Time 0.752 (0.770)	Data 0.001 (0.001)	Loss 2.3856 (2.2322)	Prec@1 40.625 (43.986)	Prec@5 72.656 (74.596)
Epoch: [34][12230/14090]	Time 0.747 (0.770)	Data 0.001 (0.001)	Loss 2.3639 (2.2323)	Prec@1 42.188 (43.986)	Prec@5 70.312 (74.594)
Epoch: [34][12240/14090]	Time 0.860 (0.770)	Data 0.001 (0.001)	Loss 2.1138 (2.2322)	Prec@1 46.094 (43.986)	Prec@5 75.781 (74.596)
Epoch: [34][12250/14090]	Time 0.764 (0.770)	Data 0.001 (0.001)	Loss 2.2394 (2.2322)	Prec@1 46.875 (43.987)	Prec@5 75.000 (74.596)
Epoch: [34][12260/14090]	Time 0.743 (0.770)	Data 0.001 (0.001)	Loss 2.2387 (2.2322)	Prec@1 41.406 (43.987)	Prec@5 73.438 (74.596)
Epoch: [34][12270/14090]	Time 0.769 (0.770)	Data 0.001 (0.001)	Loss 2.3449 (2.2322)	Prec@1 38.281 (43.985)	Prec@5 71.094 (74.595)
Epoch: [34][12280/14090]	Time 0.718 (0.770)	Data 0.001 (0.001)	Loss 2.4720 (2.2322)	Prec@1 39.062 (43.985)	Prec@5 69.531 (74.595)
Epoch: [34][12290/14090]	Time 0.748 (0.770)	Data 0.001 (0.001)	Loss 1.9942 (2.2322)	Prec@1 48.438 (43.984)	Prec@5 78.906 (74.596)
Epoch: [34][12300/14090]	Time 0.751 (0.770)	Data 0.001 (0.001)	Loss 2.5188 (2.2322)	Prec@1 34.375 (43.984)	Prec@5 72.656 (74.596)
Epoch: [34][12310/14090]	Time 0.878 (0.770)	Data 0.001 (0.001)	Loss 2.2075 (2.2322)	Prec@1 42.969 (43.984)	Prec@5 72.656 (74.596)
Epoch: [34][12320/14090]	Time 0.729 (0.770)	Data 0.001 (0.001)	Loss 1.8170 (2.2321)	Prec@1 54.688 (43.985)	Prec@5 81.250 (74.596)
Epoch: [34][12330/14090]	Time 0.768 (0.770)	Data 0.001 (0.001)	Loss 2.1416 (2.2321)	Prec@1 49.219 (43.987)	Prec@5 75.781 (74.597)
Epoch: [34][12340/14090]	Time 0.740 (0.770)	Data 0.001 (0.001)	Loss 2.3361 (2.2321)	Prec@1 42.969 (43.987)	Prec@5 74.219 (74.597)
Epoch: [34][12350/14090]	Time 0.773 (0.770)	Data 0.001 (0.001)	Loss 2.4362 (2.2321)	Prec@1 38.281 (43.986)	Prec@5 68.750 (74.597)
Epoch: [34][12360/14090]	Time 0.736 (0.770)	Data 0.001 (0.001)	Loss 2.0679 (2.2320)	Prec@1 48.438 (43.989)	Prec@5 75.781 (74.599)
Epoch: [34][12370/14090]	Time 0.741 (0.770)	Data 0.001 (0.001)	Loss 2.5162 (2.2321)	Prec@1 42.188 (43.987)	Prec@5 67.969 (74.597)
Epoch: [34][12380/14090]	Time 0.999 (0.770)	Data 0.001 (0.001)	Loss 2.2259 (2.2321)	Prec@1 42.188 (43.988)	Prec@5 76.562 (74.597)
Epoch: [34][12390/14090]	Time 0.722 (0.770)	Data 0.001 (0.001)	Loss 2.3131 (2.2321)	Prec@1 41.406 (43.989)	Prec@5 70.312 (74.599)
Epoch: [34][12400/14090]	Time 0.734 (0.770)	Data 0.001 (0.001)	Loss 1.9195 (2.2321)	Prec@1 50.781 (43.989)	Prec@5 82.812 (74.599)
Epoch: [34][12410/14090]	Time 0.726 (0.770)	Data 0.001 (0.001)	Loss 2.4255 (2.2321)	Prec@1 41.406 (43.989)	Prec@5 69.531 (74.599)
Epoch: [34][12420/14090]	Time 0.761 (0.770)	Data 0.001 (0.001)	Loss 2.0431 (2.2321)	Prec@1 44.531 (43.988)	Prec@5 75.781 (74.600)
Epoch: [34][12430/14090]	Time 0.761 (0.770)	Data 0.001 (0.001)	Loss 2.4258 (2.2320)	Prec@1 45.312 (43.991)	Prec@5 69.531 (74.600)
Epoch: [34][12440/14090]	Time 0.737 (0.770)	Data 0.001 (0.001)	Loss 2.4634 (2.2320)	Prec@1 38.281 (43.990)	Prec@5 66.406 (74.600)
Epoch: [34][12450/14090]	Time 0.920 (0.770)	Data 0.001 (0.001)	Loss 2.4943 (2.2321)	Prec@1 39.844 (43.989)	Prec@5 73.438 (74.599)
Epoch: [34][12460/14090]	Time 0.736 (0.770)	Data 0.001 (0.001)	Loss 2.2563 (2.2321)	Prec@1 46.094 (43.988)	Prec@5 75.000 (74.598)
Epoch: [34][12470/14090]	Time 0.753 (0.770)	Data 0.001 (0.001)	Loss 2.3709 (2.2321)	Prec@1 42.969 (43.988)	Prec@5 69.531 (74.598)
Epoch: [34][12480/14090]	Time 0.746 (0.770)	Data 0.001 (0.001)	Loss 2.3143 (2.2321)	Prec@1 39.062 (43.988)	Prec@5 72.656 (74.597)
Epoch: [34][12490/14090]	Time 0.759 (0.770)	Data 0.001 (0.001)	Loss 2.1636 (2.2322)	Prec@1 50.000 (43.986)	Prec@5 72.656 (74.595)
Epoch: [34][12500/14090]	Time 0.757 (0.770)	Data 0.001 (0.001)	Loss 2.1870 (2.2322)	Prec@1 42.969 (43.985)	Prec@5 76.562 (74.594)
Epoch: [34][12510/14090]	Time 0.778 (0.770)	Data 0.001 (0.001)	Loss 2.3369 (2.2323)	Prec@1 40.625 (43.984)	Prec@5 73.438 (74.592)
Epoch: [34][12520/14090]	Time 0.856 (0.770)	Data 0.001 (0.001)	Loss 2.3687 (2.2324)	Prec@1 46.094 (43.983)	Prec@5 67.969 (74.591)
Epoch: [34][12530/14090]	Time 0.762 (0.770)	Data 0.001 (0.001)	Loss 2.4559 (2.2323)	Prec@1 40.625 (43.986)	Prec@5 70.312 (74.592)
Epoch: [34][12540/14090]	Time 0.736 (0.770)	Data 0.001 (0.001)	Loss 2.3266 (2.2323)	Prec@1 45.312 (43.986)	Prec@5 77.344 (74.591)
Epoch: [34][12550/14090]	Time 0.756 (0.770)	Data 0.001 (0.001)	Loss 2.2656 (2.2323)	Prec@1 45.312 (43.986)	Prec@5 75.000 (74.591)
Epoch: [34][12560/14090]	Time 0.756 (0.770)	Data 0.001 (0.001)	Loss 2.0330 (2.2323)	Prec@1 45.312 (43.985)	Prec@5 78.906 (74.591)
Epoch: [34][12570/14090]	Time 0.754 (0.770)	Data 0.001 (0.001)	Loss 2.1177 (2.2323)	Prec@1 42.969 (43.984)	Prec@5 74.219 (74.591)
Epoch: [34][12580/14090]	Time 0.747 (0.770)	Data 0.001 (0.001)	Loss 2.2291 (2.2323)	Prec@1 43.750 (43.984)	Prec@5 77.344 (74.591)
Epoch: [34][12590/14090]	Time 0.847 (0.770)	Data 0.001 (0.001)	Loss 1.7106 (2.2323)	Prec@1 57.031 (43.986)	Prec@5 86.719 (74.592)
Epoch: [34][12600/14090]	Time 0.733 (0.770)	Data 0.001 (0.001)	Loss 2.3593 (2.2323)	Prec@1 37.500 (43.986)	Prec@5 70.312 (74.591)
Epoch: [34][12610/14090]	Time 0.757 (0.770)	Data 0.001 (0.001)	Loss 2.0327 (2.2322)	Prec@1 50.000 (43.987)	Prec@5 80.469 (74.592)
Epoch: [34][12620/14090]	Time 0.747 (0.770)	Data 0.001 (0.001)	Loss 2.4976 (2.2323)	Prec@1 38.281 (43.985)	Prec@5 70.312 (74.591)
Epoch: [34][12630/14090]	Time 0.769 (0.770)	Data 0.001 (0.001)	Loss 2.1143 (2.2323)	Prec@1 52.344 (43.987)	Prec@5 77.344 (74.591)
Epoch: [34][12640/14090]	Time 0.757 (0.770)	Data 0.001 (0.001)	Loss 2.1582 (2.2323)	Prec@1 50.000 (43.987)	Prec@5 72.656 (74.592)
Epoch: [34][12650/14090]	Time 0.776 (0.770)	Data 0.001 (0.001)	Loss 2.2075 (2.2323)	Prec@1 42.969 (43.987)	Prec@5 78.906 (74.592)
Epoch: [34][12660/14090]	Time 0.827 (0.770)	Data 0.001 (0.001)	Loss 2.3847 (2.2323)	Prec@1 42.188 (43.986)	Prec@5 71.094 (74.592)
Epoch: [34][12670/14090]	Time 0.763 (0.770)	Data 0.001 (0.001)	Loss 2.2215 (2.2322)	Prec@1 37.500 (43.987)	Prec@5 75.781 (74.593)
Epoch: [34][12680/14090]	Time 0.742 (0.770)	Data 0.001 (0.001)	Loss 2.6348 (2.2322)	Prec@1 35.156 (43.986)	Prec@5 70.312 (74.593)
Epoch: [34][12690/14090]	Time 0.802 (0.770)	Data 0.001 (0.001)	Loss 2.1584 (2.2323)	Prec@1 50.781 (43.986)	Prec@5 75.000 (74.592)
Epoch: [34][12700/14090]	Time 0.762 (0.770)	Data 0.001 (0.001)	Loss 2.0502 (2.2323)	Prec@1 46.875 (43.987)	Prec@5 77.344 (74.591)
Epoch: [34][12710/14090]	Time 0.740 (0.770)	Data 0.001 (0.001)	Loss 2.5254 (2.2323)	Prec@1 38.281 (43.986)	Prec@5 71.094 (74.591)
Epoch: [34][12720/14090]	Time 0.747 (0.770)	Data 0.001 (0.001)	Loss 2.0287 (2.2322)	Prec@1 49.219 (43.988)	Prec@5 77.344 (74.592)
Epoch: [34][12730/14090]	Time 0.871 (0.770)	Data 0.001 (0.001)	Loss 2.1375 (2.2323)	Prec@1 43.750 (43.987)	Prec@5 77.344 (74.591)
Epoch: [34][12740/14090]	Time 0.752 (0.770)	Data 0.001 (0.001)	Loss 1.9421 (2.2323)	Prec@1 50.000 (43.987)	Prec@5 78.125 (74.590)
Epoch: [34][12750/14090]	Time 0.749 (0.770)	Data 0.001 (0.001)	Loss 2.1206 (2.2323)	Prec@1 46.094 (43.986)	Prec@5 75.000 (74.590)
Epoch: [34][12760/14090]	Time 0.772 (0.770)	Data 0.001 (0.001)	Loss 2.1401 (2.2323)	Prec@1 46.094 (43.986)	Prec@5 75.781 (74.591)
Epoch: [34][12770/14090]	Time 0.742 (0.770)	Data 0.001 (0.001)	Loss 2.0386 (2.2323)	Prec@1 47.656 (43.984)	Prec@5 74.219 (74.591)
Epoch: [34][12780/14090]	Time 0.753 (0.770)	Data 0.001 (0.001)	Loss 1.9738 (2.2323)	Prec@1 44.531 (43.985)	Prec@5 78.125 (74.591)
Epoch: [34][12790/14090]	Time 0.754 (0.770)	Data 0.001 (0.001)	Loss 2.1045 (2.2323)	Prec@1 46.875 (43.983)	Prec@5 78.906 (74.590)
Epoch: [34][12800/14090]	Time 1.011 (0.770)	Data 0.001 (0.001)	Loss 2.0472 (2.2323)	Prec@1 51.562 (43.983)	Prec@5 78.125 (74.589)
Epoch: [34][12810/14090]	Time 0.742 (0.770)	Data 0.001 (0.001)	Loss 2.2518 (2.2323)	Prec@1 42.969 (43.983)	Prec@5 76.562 (74.588)
Epoch: [34][12820/14090]	Time 0.739 (0.770)	Data 0.001 (0.001)	Loss 2.2014 (2.2323)	Prec@1 49.219 (43.983)	Prec@5 73.438 (74.588)
Epoch: [34][12830/14090]	Time 0.730 (0.770)	Data 0.001 (0.001)	Loss 2.4674 (2.2324)	Prec@1 39.844 (43.983)	Prec@5 69.531 (74.589)
Epoch: [34][12840/14090]	Time 0.736 (0.770)	Data 0.001 (0.001)	Loss 2.2677 (2.2324)	Prec@1 40.625 (43.983)	Prec@5 71.875 (74.589)
Epoch: [34][12850/14090]	Time 0.762 (0.770)	Data 0.001 (0.001)	Loss 2.3304 (2.2324)	Prec@1 40.625 (43.984)	Prec@5 75.000 (74.590)
Epoch: [34][12860/14090]	Time 0.738 (0.770)	Data 0.001 (0.001)	Loss 2.0898 (2.2323)	Prec@1 42.188 (43.985)	Prec@5 85.156 (74.592)
Epoch: [34][12870/14090]	Time 0.863 (0.770)	Data 0.001 (0.001)	Loss 2.3021 (2.2323)	Prec@1 46.094 (43.985)	Prec@5 76.562 (74.592)
Epoch: [34][12880/14090]	Time 0.762 (0.770)	Data 0.001 (0.001)	Loss 2.2687 (2.2323)	Prec@1 43.750 (43.988)	Prec@5 67.188 (74.592)
Epoch: [34][12890/14090]	Time 0.741 (0.770)	Data 0.001 (0.001)	Loss 1.8690 (2.2323)	Prec@1 53.125 (43.988)	Prec@5 79.688 (74.592)
Epoch: [34][12900/14090]	Time 0.752 (0.770)	Data 0.001 (0.001)	Loss 2.2900 (2.2323)	Prec@1 38.281 (43.988)	Prec@5 70.312 (74.591)
Epoch: [34][12910/14090]	Time 0.729 (0.770)	Data 0.001 (0.001)	Loss 2.4809 (2.2323)	Prec@1 39.844 (43.988)	Prec@5 70.312 (74.590)
Epoch: [34][12920/14090]	Time 0.758 (0.770)	Data 0.001 (0.001)	Loss 2.1081 (2.2324)	Prec@1 50.000 (43.988)	Prec@5 70.312 (74.589)
Epoch: [34][12930/14090]	Time 0.731 (0.770)	Data 0.001 (0.001)	Loss 2.3191 (2.2323)	Prec@1 39.844 (43.987)	Prec@5 67.969 (74.589)
Epoch: [34][12940/14090]	Time 0.894 (0.770)	Data 0.001 (0.001)	Loss 2.3123 (2.2323)	Prec@1 39.062 (43.989)	Prec@5 74.219 (74.590)
Epoch: [34][12950/14090]	Time 0.738 (0.770)	Data 0.001 (0.001)	Loss 2.2700 (2.2323)	Prec@1 42.188 (43.988)	Prec@5 75.000 (74.590)
Epoch: [34][12960/14090]	Time 0.759 (0.770)	Data 0.001 (0.001)	Loss 2.3397 (2.2323)	Prec@1 46.875 (43.987)	Prec@5 75.000 (74.589)
Epoch: [34][12970/14090]	Time 0.763 (0.770)	Data 0.001 (0.001)	Loss 2.0523 (2.2323)	Prec@1 46.094 (43.987)	Prec@5 78.906 (74.589)
Epoch: [34][12980/14090]	Time 0.757 (0.770)	Data 0.001 (0.001)	Loss 2.4488 (2.2324)	Prec@1 35.156 (43.986)	Prec@5 72.656 (74.588)
Epoch: [34][12990/14090]	Time 0.750 (0.770)	Data 0.001 (0.001)	Loss 2.4561 (2.2324)	Prec@1 41.406 (43.985)	Prec@5 67.969 (74.588)
Epoch: [34][13000/14090]	Time 0.771 (0.770)	Data 0.001 (0.001)	Loss 2.2199 (2.2324)	Prec@1 42.188 (43.983)	Prec@5 75.000 (74.587)
Epoch: [34][13010/14090]	Time 0.906 (0.770)	Data 0.001 (0.001)	Loss 2.1966 (2.2324)	Prec@1 50.781 (43.985)	Prec@5 71.875 (74.587)
Epoch: [34][13020/14090]	Time 0.738 (0.770)	Data 0.001 (0.001)	Loss 2.5071 (2.2324)	Prec@1 36.719 (43.985)	Prec@5 68.750 (74.587)
Epoch: [34][13030/14090]	Time 0.740 (0.770)	Data 0.001 (0.001)	Loss 2.3231 (2.2324)	Prec@1 45.312 (43.985)	Prec@5 70.312 (74.586)
Epoch: [34][13040/14090]	Time 0.732 (0.770)	Data 0.001 (0.001)	Loss 2.2559 (2.2325)	Prec@1 40.625 (43.985)	Prec@5 73.438 (74.586)
Epoch: [34][13050/14090]	Time 0.730 (0.770)	Data 0.001 (0.001)	Loss 2.2172 (2.2324)	Prec@1 39.844 (43.984)	Prec@5 73.438 (74.586)
Epoch: [34][13060/14090]	Time 0.752 (0.770)	Data 0.001 (0.001)	Loss 2.1002 (2.2324)	Prec@1 46.094 (43.986)	Prec@5 79.688 (74.586)
Epoch: [34][13070/14090]	Time 0.753 (0.770)	Data 0.001 (0.001)	Loss 2.3025 (2.2323)	Prec@1 46.875 (43.987)	Prec@5 71.875 (74.588)
Epoch: [34][13080/14090]	Time 0.850 (0.770)	Data 0.001 (0.001)	Loss 1.8660 (2.2323)	Prec@1 52.344 (43.988)	Prec@5 82.812 (74.588)
Epoch: [34][13090/14090]	Time 0.738 (0.770)	Data 0.001 (0.001)	Loss 2.0924 (2.2323)	Prec@1 42.969 (43.987)	Prec@5 75.781 (74.588)
Epoch: [34][13100/14090]	Time 0.747 (0.770)	Data 0.001 (0.001)	Loss 2.0676 (2.2323)	Prec@1 46.875 (43.987)	Prec@5 73.438 (74.589)
Epoch: [34][13110/14090]	Time 0.752 (0.770)	Data 0.002 (0.001)	Loss 2.0628 (2.2323)	Prec@1 50.781 (43.988)	Prec@5 74.219 (74.589)
Epoch: [34][13120/14090]	Time 0.736 (0.770)	Data 0.001 (0.001)	Loss 2.4432 (2.2323)	Prec@1 35.156 (43.987)	Prec@5 74.219 (74.589)
Epoch: [34][13130/14090]	Time 0.762 (0.770)	Data 0.001 (0.001)	Loss 2.5342 (2.2323)	Prec@1 37.500 (43.986)	Prec@5 68.750 (74.589)
Epoch: [34][13140/14090]	Time 0.737 (0.770)	Data 0.001 (0.001)	Loss 2.2655 (2.2324)	Prec@1 40.625 (43.984)	Prec@5 75.781 (74.588)
Epoch: [34][13150/14090]	Time 0.859 (0.770)	Data 0.001 (0.001)	Loss 2.2384 (2.2323)	Prec@1 39.844 (43.985)	Prec@5 74.219 (74.588)
Epoch: [34][13160/14090]	Time 0.722 (0.770)	Data 0.001 (0.001)	Loss 2.0946 (2.2323)	Prec@1 46.875 (43.987)	Prec@5 77.344 (74.589)
Epoch: [34][13170/14090]	Time 0.750 (0.770)	Data 0.001 (0.001)	Loss 2.2870 (2.2323)	Prec@1 41.406 (43.986)	Prec@5 72.656 (74.588)
Epoch: [34][13180/14090]	Time 0.751 (0.770)	Data 0.001 (0.001)	Loss 2.2882 (2.2323)	Prec@1 45.312 (43.987)	Prec@5 71.875 (74.589)
Epoch: [34][13190/14090]	Time 0.738 (0.770)	Data 0.001 (0.001)	Loss 2.3271 (2.2323)	Prec@1 42.969 (43.986)	Prec@5 73.438 (74.588)
Epoch: [34][13200/14090]	Time 0.737 (0.770)	Data 0.001 (0.001)	Loss 2.0825 (2.2323)	Prec@1 43.750 (43.986)	Prec@5 77.344 (74.588)
Epoch: [34][13210/14090]	Time 0.722 (0.770)	Data 0.001 (0.001)	Loss 2.3522 (2.2323)	Prec@1 42.969 (43.986)	Prec@5 72.656 (74.588)
Epoch: [34][13220/14090]	Time 0.906 (0.770)	Data 0.001 (0.001)	Loss 2.2457 (2.2323)	Prec@1 40.625 (43.985)	Prec@5 73.438 (74.588)
Epoch: [34][13230/14090]	Time 0.752 (0.770)	Data 0.001 (0.001)	Loss 2.2641 (2.2324)	Prec@1 48.438 (43.984)	Prec@5 70.312 (74.586)
Epoch: [34][13240/14090]	Time 0.729 (0.770)	Data 0.001 (0.001)	Loss 2.3797 (2.2324)	Prec@1 42.969 (43.983)	Prec@5 66.406 (74.586)
Epoch: [34][13250/14090]	Time 0.757 (0.770)	Data 0.001 (0.001)	Loss 2.4925 (2.2324)	Prec@1 35.938 (43.984)	Prec@5 71.875 (74.586)
Epoch: [34][13260/14090]	Time 0.733 (0.770)	Data 0.001 (0.001)	Loss 2.0509 (2.2324)	Prec@1 50.781 (43.985)	Prec@5 75.781 (74.587)
Epoch: [34][13270/14090]	Time 0.753 (0.770)	Data 0.001 (0.001)	Loss 2.0891 (2.2324)	Prec@1 46.094 (43.986)	Prec@5 77.344 (74.588)
Epoch: [34][13280/14090]	Time 0.757 (0.770)	Data 0.001 (0.001)	Loss 2.0022 (2.2323)	Prec@1 54.688 (43.986)	Prec@5 80.469 (74.588)
Epoch: [34][13290/14090]	Time 0.876 (0.770)	Data 0.001 (0.001)	Loss 2.4445 (2.2323)	Prec@1 37.500 (43.986)	Prec@5 68.750 (74.588)
Epoch: [34][13300/14090]	Time 0.759 (0.770)	Data 0.001 (0.001)	Loss 2.2942 (2.2323)	Prec@1 37.500 (43.986)	Prec@5 73.438 (74.589)
Epoch: [34][13310/14090]	Time 0.775 (0.770)	Data 0.001 (0.001)	Loss 2.1590 (2.2323)	Prec@1 48.438 (43.987)	Prec@5 79.688 (74.589)
Epoch: [34][13320/14090]	Time 0.751 (0.770)	Data 0.001 (0.001)	Loss 2.4676 (2.2323)	Prec@1 42.969 (43.989)	Prec@5 69.531 (74.590)
Epoch: [34][13330/14090]	Time 0.763 (0.770)	Data 0.001 (0.001)	Loss 2.4019 (2.2324)	Prec@1 36.719 (43.987)	Prec@5 71.094 (74.588)
Epoch: [34][13340/14090]	Time 0.756 (0.770)	Data 0.001 (0.001)	Loss 2.2580 (2.2324)	Prec@1 44.531 (43.986)	Prec@5 75.000 (74.587)
Epoch: [34][13350/14090]	Time 0.773 (0.770)	Data 0.001 (0.001)	Loss 2.1418 (2.2324)	Prec@1 48.438 (43.987)	Prec@5 75.781 (74.587)
Epoch: [34][13360/14090]	Time 0.930 (0.770)	Data 0.001 (0.001)	Loss 2.2496 (2.2324)	Prec@1 44.531 (43.987)	Prec@5 71.875 (74.587)
Epoch: [34][13370/14090]	Time 0.762 (0.770)	Data 0.001 (0.001)	Loss 2.4108 (2.2324)	Prec@1 42.188 (43.986)	Prec@5 69.531 (74.586)
Epoch: [34][13380/14090]	Time 0.738 (0.770)	Data 0.001 (0.001)	Loss 2.2577 (2.2324)	Prec@1 45.312 (43.987)	Prec@5 81.250 (74.587)
Epoch: [34][13390/14090]	Time 0.756 (0.770)	Data 0.001 (0.001)	Loss 2.2591 (2.2324)	Prec@1 42.969 (43.987)	Prec@5 75.000 (74.587)
Epoch: [34][13400/14090]	Time 0.734 (0.770)	Data 0.001 (0.001)	Loss 1.9665 (2.2324)	Prec@1 50.781 (43.989)	Prec@5 82.812 (74.588)
Epoch: [34][13410/14090]	Time 0.754 (0.770)	Data 0.001 (0.001)	Loss 2.2641 (2.2323)	Prec@1 40.625 (43.991)	Prec@5 77.344 (74.589)
Epoch: [34][13420/14090]	Time 0.730 (0.770)	Data 0.001 (0.001)	Loss 2.1943 (2.2323)	Prec@1 42.188 (43.991)	Prec@5 74.219 (74.590)
Epoch: [34][13430/14090]	Time 0.881 (0.770)	Data 0.002 (0.001)	Loss 2.2066 (2.2322)	Prec@1 42.188 (43.991)	Prec@5 73.438 (74.592)
Epoch: [34][13440/14090]	Time 0.754 (0.770)	Data 0.001 (0.001)	Loss 2.1963 (2.2322)	Prec@1 43.750 (43.990)	Prec@5 72.656 (74.592)
Epoch: [34][13450/14090]	Time 0.738 (0.770)	Data 0.001 (0.001)	Loss 2.0717 (2.2323)	Prec@1 46.875 (43.990)	Prec@5 75.000 (74.591)
Epoch: [34][13460/14090]	Time 0.742 (0.770)	Data 0.001 (0.001)	Loss 2.1033 (2.2322)	Prec@1 46.875 (43.990)	Prec@5 78.906 (74.591)
Epoch: [34][13470/14090]	Time 0.750 (0.770)	Data 0.001 (0.001)	Loss 2.3191 (2.2323)	Prec@1 39.062 (43.990)	Prec@5 74.219 (74.590)
Epoch: [34][13480/14090]	Time 0.736 (0.770)	Data 0.001 (0.001)	Loss 2.3935 (2.2322)	Prec@1 42.188 (43.991)	Prec@5 71.875 (74.591)
Epoch: [34][13490/14090]	Time 0.772 (0.770)	Data 0.001 (0.001)	Loss 2.5530 (2.2322)	Prec@1 44.531 (43.991)	Prec@5 66.406 (74.592)
Epoch: [34][13500/14090]	Time 0.869 (0.770)	Data 0.001 (0.001)	Loss 2.4319 (2.2322)	Prec@1 37.500 (43.992)	Prec@5 71.875 (74.592)
Epoch: [34][13510/14090]	Time 0.771 (0.770)	Data 0.001 (0.001)	Loss 1.9607 (2.2323)	Prec@1 53.125 (43.991)	Prec@5 80.469 (74.591)
Epoch: [34][13520/14090]	Time 0.742 (0.770)	Data 0.001 (0.001)	Loss 2.2730 (2.2323)	Prec@1 43.750 (43.991)	Prec@5 74.219 (74.591)
Epoch: [34][13530/14090]	Time 0.752 (0.770)	Data 0.001 (0.001)	Loss 2.4813 (2.2323)	Prec@1 43.750 (43.991)	Prec@5 70.312 (74.590)
Epoch: [34][13540/14090]	Time 0.743 (0.770)	Data 0.001 (0.001)	Loss 2.0682 (2.2323)	Prec@1 48.438 (43.992)	Prec@5 78.125 (74.591)
Epoch: [34][13550/14090]	Time 0.770 (0.770)	Data 0.001 (0.001)	Loss 2.2689 (2.2323)	Prec@1 43.750 (43.992)	Prec@5 69.531 (74.591)
Epoch: [34][13560/14090]	Time 0.742 (0.770)	Data 0.001 (0.001)	Loss 2.2459 (2.2323)	Prec@1 43.750 (43.993)	Prec@5 71.094 (74.590)
Epoch: [34][13570/14090]	Time 0.860 (0.770)	Data 0.001 (0.001)	Loss 2.1443 (2.2323)	Prec@1 46.094 (43.993)	Prec@5 72.656 (74.590)
Epoch: [34][13580/14090]	Time 0.735 (0.770)	Data 0.001 (0.001)	Loss 2.3457 (2.2323)	Prec@1 42.188 (43.993)	Prec@5 72.656 (74.590)
Epoch: [34][13590/14090]	Time 0.727 (0.770)	Data 0.001 (0.001)	Loss 2.1996 (2.2323)	Prec@1 42.969 (43.994)	Prec@5 74.219 (74.590)
Epoch: [34][13600/14090]	Time 0.726 (0.770)	Data 0.001 (0.001)	Loss 2.1998 (2.2324)	Prec@1 42.188 (43.993)	Prec@5 78.125 (74.590)
Epoch: [34][13610/14090]	Time 0.754 (0.770)	Data 0.001 (0.001)	Loss 2.0596 (2.2324)	Prec@1 48.438 (43.992)	Prec@5 75.781 (74.589)
Epoch: [34][13620/14090]	Time 0.736 (0.770)	Data 0.001 (0.001)	Loss 2.0536 (2.2325)	Prec@1 47.656 (43.990)	Prec@5 73.438 (74.587)
Epoch: [34][13630/14090]	Time 0.744 (0.770)	Data 0.001 (0.001)	Loss 2.3185 (2.2325)	Prec@1 41.406 (43.991)	Prec@5 71.094 (74.587)
Epoch: [34][13640/14090]	Time 1.008 (0.770)	Data 0.001 (0.001)	Loss 2.1087 (2.2325)	Prec@1 47.656 (43.990)	Prec@5 75.000 (74.586)
Epoch: [34][13650/14090]	Time 0.730 (0.770)	Data 0.001 (0.001)	Loss 2.0883 (2.2326)	Prec@1 46.875 (43.989)	Prec@5 74.219 (74.584)
Epoch: [34][13660/14090]	Time 0.740 (0.770)	Data 0.001 (0.001)	Loss 2.4540 (2.2326)	Prec@1 42.969 (43.989)	Prec@5 67.969 (74.584)
Epoch: [34][13670/14090]	Time 0.753 (0.770)	Data 0.001 (0.001)	Loss 2.1523 (2.2326)	Prec@1 47.656 (43.990)	Prec@5 72.656 (74.583)
Epoch: [34][13680/14090]	Time 0.770 (0.770)	Data 0.001 (0.001)	Loss 2.4015 (2.2326)	Prec@1 42.188 (43.990)	Prec@5 72.656 (74.583)
Epoch: [34][13690/14090]	Time 0.768 (0.770)	Data 0.001 (0.001)	Loss 2.2104 (2.2325)	Prec@1 50.781 (43.990)	Prec@5 75.781 (74.584)
Epoch: [34][13700/14090]	Time 0.726 (0.770)	Data 0.001 (0.001)	Loss 2.3176 (2.2326)	Prec@1 39.062 (43.988)	Prec@5 74.219 (74.582)
Epoch: [34][13710/14090]	Time 0.837 (0.770)	Data 0.001 (0.001)	Loss 2.3771 (2.2327)	Prec@1 43.750 (43.988)	Prec@5 69.531 (74.582)
Epoch: [34][13720/14090]	Time 0.735 (0.770)	Data 0.001 (0.001)	Loss 2.0774 (2.2326)	Prec@1 46.094 (43.988)	Prec@5 77.344 (74.582)
Epoch: [34][13730/14090]	Time 0.779 (0.770)	Data 0.001 (0.001)	Loss 2.4270 (2.2326)	Prec@1 39.844 (43.988)	Prec@5 70.312 (74.581)
Epoch: [34][13740/14090]	Time 0.745 (0.770)	Data 0.001 (0.001)	Loss 2.4439 (2.2326)	Prec@1 36.719 (43.988)	Prec@5 72.656 (74.582)
Epoch: [34][13750/14090]	Time 0.785 (0.770)	Data 0.001 (0.001)	Loss 2.3004 (2.2326)	Prec@1 36.719 (43.987)	Prec@5 75.781 (74.582)
Epoch: [34][13760/14090]	Time 0.744 (0.770)	Data 0.001 (0.001)	Loss 2.3268 (2.2327)	Prec@1 38.281 (43.986)	Prec@5 73.438 (74.582)
Epoch: [34][13770/14090]	Time 0.743 (0.770)	Data 0.001 (0.001)	Loss 2.4746 (2.2327)	Prec@1 44.531 (43.986)	Prec@5 71.875 (74.581)
Epoch: [34][13780/14090]	Time 0.884 (0.770)	Data 0.001 (0.001)	Loss 2.1956 (2.2327)	Prec@1 45.312 (43.985)	Prec@5 78.906 (74.580)
Epoch: [34][13790/14090]	Time 0.745 (0.770)	Data 0.001 (0.001)	Loss 2.1201 (2.2327)	Prec@1 45.312 (43.986)	Prec@5 79.688 (74.581)
Epoch: [34][13800/14090]	Time 0.773 (0.770)	Data 0.001 (0.001)	Loss 2.2240 (2.2327)	Prec@1 45.312 (43.986)	Prec@5 72.656 (74.581)
Epoch: [34][13810/14090]	Time 0.747 (0.770)	Data 0.003 (0.001)	Loss 2.2892 (2.2327)	Prec@1 41.406 (43.986)	Prec@5 73.438 (74.581)
Epoch: [34][13820/14090]	Time 0.758 (0.770)	Data 0.001 (0.001)	Loss 2.0067 (2.2327)	Prec@1 52.344 (43.987)	Prec@5 78.125 (74.581)
Epoch: [34][13830/14090]	Time 0.752 (0.770)	Data 0.001 (0.001)	Loss 2.0822 (2.2327)	Prec@1 40.625 (43.987)	Prec@5 78.125 (74.581)
Epoch: [34][13840/14090]	Time 0.737 (0.770)	Data 0.001 (0.001)	Loss 2.4959 (2.2327)	Prec@1 39.844 (43.987)	Prec@5 70.312 (74.580)
Epoch: [34][13850/14090]	Time 0.855 (0.770)	Data 0.001 (0.001)	Loss 2.1452 (2.2327)	Prec@1 46.875 (43.987)	Prec@5 78.906 (74.581)
Epoch: [34][13860/14090]	Time 0.766 (0.770)	Data 0.001 (0.001)	Loss 2.0994 (2.2328)	Prec@1 45.312 (43.987)	Prec@5 78.125 (74.579)
Epoch: [34][13870/14090]	Time 0.773 (0.770)	Data 0.001 (0.001)	Loss 2.3577 (2.2328)	Prec@1 37.500 (43.986)	Prec@5 70.312 (74.579)
Epoch: [34][13880/14090]	Time 0.747 (0.770)	Data 0.001 (0.001)	Loss 2.2392 (2.2328)	Prec@1 39.844 (43.986)	Prec@5 77.344 (74.579)
Epoch: [34][13890/14090]	Time 0.765 (0.770)	Data 0.001 (0.001)	Loss 2.1975 (2.2328)	Prec@1 40.625 (43.985)	Prec@5 75.781 (74.579)
Epoch: [34][13900/14090]	Time 0.754 (0.770)	Data 0.001 (0.001)	Loss 2.2515 (2.2328)	Prec@1 43.750 (43.984)	Prec@5 68.750 (74.578)
Epoch: [34][13910/14090]	Time 0.772 (0.770)	Data 0.001 (0.001)	Loss 2.5617 (2.2328)	Prec@1 35.938 (43.983)	Prec@5 67.969 (74.579)
Epoch: [34][13920/14090]	Time 0.871 (0.770)	Data 0.001 (0.001)	Loss 2.0705 (2.2328)	Prec@1 51.562 (43.982)	Prec@5 75.000 (74.579)
Epoch: [34][13930/14090]	Time 0.730 (0.770)	Data 0.001 (0.001)	Loss 2.4336 (2.2329)	Prec@1 37.500 (43.983)	Prec@5 70.312 (74.578)
Epoch: [34][13940/14090]	Time 0.751 (0.770)	Data 0.001 (0.001)	Loss 2.0772 (2.2329)	Prec@1 46.875 (43.982)	Prec@5 78.906 (74.577)
Epoch: [34][13950/14090]	Time 0.730 (0.770)	Data 0.001 (0.001)	Loss 2.1717 (2.2329)	Prec@1 48.438 (43.981)	Prec@5 75.000 (74.578)
Epoch: [34][13960/14090]	Time 0.742 (0.770)	Data 0.001 (0.001)	Loss 2.1881 (2.2329)	Prec@1 46.094 (43.980)	Prec@5 73.438 (74.577)
Epoch: [34][13970/14090]	Time 0.729 (0.770)	Data 0.001 (0.001)	Loss 2.5039 (2.2330)	Prec@1 39.062 (43.979)	Prec@5 70.312 (74.576)
Epoch: [34][13980/14090]	Time 0.748 (0.770)	Data 0.001 (0.001)	Loss 2.5512 (2.2330)	Prec@1 42.188 (43.978)	Prec@5 71.875 (74.576)
Epoch: [34][13990/14090]	Time 0.908 (0.770)	Data 0.001 (0.001)	Loss 2.1839 (2.2330)	Prec@1 46.875 (43.977)	Prec@5 74.219 (74.576)
Epoch: [34][14000/14090]	Time 0.749 (0.770)	Data 0.001 (0.001)	Loss 2.1312 (2.2330)	Prec@1 46.094 (43.978)	Prec@5 77.344 (74.577)
Epoch: [34][14010/14090]	Time 0.765 (0.770)	Data 0.001 (0.001)	Loss 2.2658 (2.2330)	Prec@1 47.656 (43.979)	Prec@5 72.656 (74.577)
Epoch: [34][14020/14090]	Time 0.726 (0.770)	Data 0.001 (0.001)	Loss 2.0854 (2.2331)	Prec@1 47.656 (43.979)	Prec@5 78.906 (74.575)
Epoch: [34][14030/14090]	Time 0.775 (0.770)	Data 0.001 (0.001)	Loss 2.4809 (2.2332)	Prec@1 42.969 (43.978)	Prec@5 71.875 (74.574)
Epoch: [34][14040/14090]	Time 0.766 (0.770)	Data 0.001 (0.001)	Loss 2.4635 (2.2332)	Prec@1 40.625 (43.977)	Prec@5 64.844 (74.574)
Epoch: [34][14050/14090]	Time 0.766 (0.770)	Data 0.001 (0.001)	Loss 2.2303 (2.2332)	Prec@1 41.406 (43.977)	Prec@5 71.875 (74.573)
Epoch: [34][14060/14090]	Time 0.852 (0.770)	Data 0.001 (0.001)	Loss 2.3562 (2.2332)	Prec@1 41.406 (43.976)	Prec@5 74.219 (74.573)
Epoch: [34][14070/14090]	Time 0.750 (0.770)	Data 0.001 (0.001)	Loss 2.4146 (2.2332)	Prec@1 38.281 (43.975)	Prec@5 68.750 (74.572)
Epoch: [34][14080/14090]	Time 0.742 (0.770)	Data 0.000 (0.001)	Loss 2.1818 (2.2332)	Prec@1 38.281 (43.977)	Prec@5 76.562 (74.573)
Test: [0/286]	Time 4.193 (4.193)	Loss 1.2438 (1.2438)	Prec@1 60.156 (60.156)	Prec@5 95.312 (95.312)
Test: [10/286]	Time 0.230 (0.708)	Loss 1.6546 (1.9338)	Prec@1 57.031 (49.290)	Prec@5 87.500 (82.812)
Test: [20/286]	Time 0.236 (0.522)	Loss 1.6594 (1.8445)	Prec@1 56.250 (51.339)	Prec@5 87.500 (83.854)
Test: [30/286]	Time 0.330 (0.469)	Loss 1.9641 (1.7795)	Prec@1 45.312 (53.427)	Prec@5 81.250 (83.896)
Test: [40/286]	Time 1.066 (0.458)	Loss 1.9586 (1.8302)	Prec@1 41.406 (52.001)	Prec@5 82.812 (83.155)
Test: [50/286]	Time 0.304 (0.437)	Loss 0.5887 (1.8247)	Prec@1 89.062 (51.976)	Prec@5 93.750 (83.195)
Test: [60/286]	Time 0.239 (0.423)	Loss 2.4226 (1.8542)	Prec@1 43.750 (51.434)	Prec@5 71.875 (82.108)
Test: [70/286]	Time 0.260 (0.415)	Loss 1.0746 (1.8392)	Prec@1 75.000 (51.728)	Prec@5 92.969 (82.273)
Test: [80/286]	Time 0.782 (0.415)	Loss 1.9326 (1.8830)	Prec@1 46.875 (50.395)	Prec@5 83.594 (81.684)
Test: [90/286]	Time 0.233 (0.414)	Loss 1.9679 (1.8793)	Prec@1 46.875 (50.704)	Prec@5 82.031 (81.817)
Test: [100/286]	Time 0.233 (0.407)	Loss 2.2714 (1.8965)	Prec@1 36.719 (50.070)	Prec@5 75.000 (81.737)
Test: [110/286]	Time 0.233 (0.401)	Loss 2.2317 (1.9113)	Prec@1 42.188 (49.557)	Prec@5 75.781 (81.616)
Test: [120/286]	Time 0.691 (0.405)	Loss 1.6742 (1.8906)	Prec@1 62.500 (50.278)	Prec@5 80.469 (81.876)
Test: [130/286]	Time 0.298 (0.403)	Loss 0.9459 (1.8832)	Prec@1 71.875 (50.590)	Prec@5 96.094 (81.924)
Test: [140/286]	Time 0.249 (0.400)	Loss 2.6289 (1.8802)	Prec@1 43.750 (50.781)	Prec@5 67.969 (81.948)
Test: [150/286]	Time 0.237 (0.396)	Loss 2.7599 (1.8934)	Prec@1 26.562 (50.336)	Prec@5 73.438 (81.861)
Test: [160/286]	Time 1.029 (0.398)	Loss 2.9799 (1.8946)	Prec@1 18.750 (50.315)	Prec@5 61.719 (81.798)
Test: [170/286]	Time 0.236 (0.397)	Loss 1.9934 (1.8865)	Prec@1 46.875 (50.461)	Prec@5 80.469 (81.844)
Test: [180/286]	Time 0.446 (0.395)	Loss 2.0674 (1.9022)	Prec@1 53.906 (50.069)	Prec@5 77.344 (81.677)
Test: [190/286]	Time 0.233 (0.393)	Loss 3.0888 (1.9220)	Prec@1 15.625 (49.599)	Prec@5 70.312 (81.450)
Test: [200/286]	Time 0.377 (0.392)	Loss 1.9811 (1.9155)	Prec@1 53.906 (49.747)	Prec@5 83.594 (81.510)
Test: [210/286]	Time 0.258 (0.391)	Loss 1.9619 (1.9191)	Prec@1 50.781 (49.582)	Prec@5 80.469 (81.420)
Test: [220/286]	Time 0.905 (0.393)	Loss 3.2998 (1.9254)	Prec@1 17.188 (49.452)	Prec@5 57.031 (81.307)
Test: [230/286]	Time 0.306 (0.391)	Loss 1.2289 (1.9214)	Prec@1 67.969 (49.618)	Prec@5 89.062 (81.307)
Test: [240/286]	Time 0.651 (0.392)	Loss 2.0712 (1.9199)	Prec@1 47.656 (49.747)	Prec@5 78.125 (81.341)
Test: [250/286]	Time 0.343 (0.390)	Loss 2.0507 (1.9161)	Prec@1 44.531 (49.617)	Prec@5 82.812 (81.524)
Test: [260/286]	Time 0.333 (0.389)	Loss 2.2285 (1.9063)	Prec@1 42.188 (49.868)	Prec@5 77.344 (81.678)
Test: [270/286]	Time 0.305 (0.389)	Loss 1.2827 (1.9049)	Prec@1 64.062 (49.942)	Prec@5 89.062 (81.665)
Test: [280/286]	Time 0.426 (0.388)	Loss 1.6480 (1.8883)	Prec@1 58.594 (50.500)	Prec@5 89.062 (81.862)
 * Prec@1 50.623 Prec@5 81.852
Epoch: [35][0/14090]	Time 5.238 (5.238)	Data 4.473 (4.473)	Loss 2.0552 (2.0552)	Prec@1 46.875 (46.875)	Prec@5 77.344 (77.344)
Epoch: [35][10/14090]	Time 0.721 (1.152)	Data 0.001 (0.407)	Loss 2.0238 (2.1697)	Prec@1 50.781 (44.460)	Prec@5 75.000 (74.858)
Epoch: [35][20/14090]	Time 0.725 (0.961)	Data 0.001 (0.214)	Loss 2.0539 (2.1895)	Prec@1 47.656 (44.345)	Prec@5 78.906 (74.702)
Epoch: [35][30/14090]	Time 0.839 (0.896)	Data 0.001 (0.145)	Loss 2.2971 (2.2086)	Prec@1 44.531 (43.851)	Prec@5 69.531 (74.496)
Epoch: [35][40/14090]	Time 0.722 (0.859)	Data 0.001 (0.110)	Loss 2.2282 (2.2128)	Prec@1 42.969 (44.017)	Prec@5 76.562 (74.562)
Epoch: [35][50/14090]	Time 0.761 (0.841)	Data 0.001 (0.089)	Loss 2.1575 (2.2012)	Prec@1 46.094 (44.424)	Prec@5 73.438 (74.755)
Epoch: [35][60/14090]	Time 0.731 (0.831)	Data 0.001 (0.074)	Loss 2.1018 (2.2018)	Prec@1 46.094 (44.544)	Prec@5 78.125 (74.872)
Epoch: [35][70/14090]	Time 0.738 (0.821)	Data 0.001 (0.064)	Loss 2.2247 (2.1988)	Prec@1 42.969 (44.696)	Prec@5 74.219 (74.879)
Epoch: [35][80/14090]	Time 0.739 (0.816)	Data 0.001 (0.056)	Loss 2.1305 (2.2040)	Prec@1 40.625 (44.647)	Prec@5 78.906 (74.826)
Epoch: [35][90/14090]	Time 0.771 (0.810)	Data 0.001 (0.050)	Loss 2.2521 (2.2022)	Prec@1 43.750 (44.720)	Prec@5 73.438 (74.708)
Epoch: [35][100/14090]	Time 0.876 (0.807)	Data 0.001 (0.045)	Loss 2.1499 (2.2005)	Prec@1 46.094 (44.701)	Prec@5 74.219 (74.822)
Epoch: [35][110/14090]	Time 0.762 (0.804)	Data 0.001 (0.041)	Loss 2.2249 (2.1990)	Prec@1 45.312 (44.735)	Prec@5 73.438 (74.852)
Epoch: [35][120/14090]	Time 0.751 (0.800)	Data 0.001 (0.038)	Loss 2.0117 (2.1959)	Prec@1 50.000 (44.867)	Prec@5 78.125 (74.942)
Epoch: [35][130/14090]	Time 0.780 (0.799)	Data 0.001 (0.035)	Loss 2.2314 (2.1992)	Prec@1 40.625 (44.782)	Prec@5 75.000 (74.851)
Epoch: [35][140/14090]	Time 0.757 (0.797)	Data 0.001 (0.033)	Loss 2.2771 (2.2009)	Prec@1 46.875 (44.736)	Prec@5 71.875 (74.867)
Epoch: [35][150/14090]	Time 0.769 (0.796)	Data 0.001 (0.030)	Loss 2.1730 (2.2028)	Prec@1 46.875 (44.712)	Prec@5 73.438 (74.819)
Epoch: [35][160/14090]	Time 0.743 (0.793)	Data 0.001 (0.029)	Loss 2.3794 (2.2025)	Prec@1 46.875 (44.720)	Prec@5 74.219 (74.796)
Epoch: [35][170/14090]	Time 0.879 (0.793)	Data 0.001 (0.027)	Loss 2.2677 (2.1973)	Prec@1 41.406 (44.801)	Prec@5 73.438 (74.991)
Epoch: [35][180/14090]	Time 0.768 (0.792)	Data 0.001 (0.026)	Loss 2.0584 (2.1987)	Prec@1 53.906 (44.769)	Prec@5 76.562 (74.970)
Epoch: [35][190/14090]	Time 0.755 (0.791)	Data 0.001 (0.024)	Loss 2.1705 (2.2024)	Prec@1 46.094 (44.638)	Prec@5 73.438 (74.840)
Epoch: [35][200/14090]	Time 0.754 (0.791)	Data 0.001 (0.023)	Loss 2.1067 (2.2016)	Prec@1 46.875 (44.628)	Prec@5 78.125 (74.845)
Epoch: [35][210/14090]	Time 0.749 (0.790)	Data 0.001 (0.022)	Loss 2.2390 (2.1994)	Prec@1 50.000 (44.676)	Prec@5 71.875 (74.922)
Epoch: [35][220/14090]	Time 0.769 (0.789)	Data 0.001 (0.021)	Loss 2.2539 (2.1998)	Prec@1 43.750 (44.669)	Prec@5 72.656 (74.954)
Epoch: [35][230/14090]	Time 0.733 (0.788)	Data 0.001 (0.020)	Loss 2.1692 (2.2023)	Prec@1 39.062 (44.629)	Prec@5 73.438 (74.915)
Epoch: [35][240/14090]	Time 0.911 (0.787)	Data 0.001 (0.019)	Loss 2.3934 (2.2038)	Prec@1 40.625 (44.603)	Prec@5 73.438 (74.861)
Epoch: [35][250/14090]	Time 0.756 (0.787)	Data 0.001 (0.019)	Loss 2.3016 (2.2046)	Prec@1 46.875 (44.587)	Prec@5 73.438 (74.854)
Epoch: [35][260/14090]	Time 0.751 (0.786)	Data 0.001 (0.018)	Loss 2.4654 (2.2054)	Prec@1 50.781 (44.648)	Prec@5 69.531 (74.880)
Epoch: [35][270/14090]	Time 0.771 (0.786)	Data 0.001 (0.017)	Loss 2.1150 (2.2085)	Prec@1 46.875 (44.595)	Prec@5 76.562 (74.841)
Epoch: [35][280/14090]	Time 0.773 (0.785)	Data 0.002 (0.017)	Loss 2.0662 (2.2095)	Prec@1 44.531 (44.540)	Prec@5 79.688 (74.864)
Epoch: [35][290/14090]	Time 0.745 (0.784)	Data 0.001 (0.016)	Loss 2.1617 (2.2105)	Prec@1 42.969 (44.494)	Prec@5 75.781 (74.863)
Epoch: [35][300/14090]	Time 0.772 (0.784)	Data 0.001 (0.016)	Loss 2.1715 (2.2122)	Prec@1 43.750 (44.461)	Prec@5 75.781 (74.844)
Epoch: [35][310/14090]	Time 0.916 (0.784)	Data 0.001 (0.015)	Loss 2.4420 (2.2111)	Prec@1 41.406 (44.504)	Prec@5 70.312 (74.915)
Epoch: [35][320/14090]	Time 0.765 (0.783)	Data 0.001 (0.015)	Loss 2.1462 (2.2082)	Prec@1 44.531 (44.556)	Prec@5 72.656 (75.007)
Epoch: [35][330/14090]	Time 0.752 (0.783)	Data 0.001 (0.014)	Loss 2.2145 (2.2077)	Prec@1 47.656 (44.538)	Prec@5 71.875 (74.995)
Epoch: [35][340/14090]	Time 0.741 (0.783)	Data 0.001 (0.014)	Loss 2.3266 (2.2078)	Prec@1 39.844 (44.511)	Prec@5 71.875 (74.989)
Epoch: [35][350/14090]	Time 0.734 (0.782)	Data 0.001 (0.014)	Loss 2.2866 (2.2086)	Prec@1 44.531 (44.525)	Prec@5 73.438 (74.973)
Epoch: [35][360/14090]	Time 0.754 (0.782)	Data 0.002 (0.013)	Loss 2.3562 (2.2093)	Prec@1 39.844 (44.488)	Prec@5 71.875 (74.939)
Epoch: [35][370/14090]	Time 0.749 (0.782)	Data 0.001 (0.013)	Loss 2.5259 (2.2107)	Prec@1 38.281 (44.447)	Prec@5 70.312 (74.968)
Epoch: [35][380/14090]	Time 0.919 (0.782)	Data 0.001 (0.013)	Loss 2.3971 (2.2140)	Prec@1 38.281 (44.361)	Prec@5 71.094 (74.838)
Epoch: [35][390/14090]	Time 0.732 (0.782)	Data 0.001 (0.012)	Loss 2.6393 (2.2161)	Prec@1 32.031 (44.343)	Prec@5 64.844 (74.766)
Epoch: [35][400/14090]	Time 0.774 (0.781)	Data 0.001 (0.012)	Loss 2.3564 (2.2158)	Prec@1 42.188 (44.317)	Prec@5 71.875 (74.782)
Epoch: [35][410/14090]	Time 0.728 (0.781)	Data 0.001 (0.012)	Loss 2.1174 (2.2157)	Prec@1 42.969 (44.307)	Prec@5 77.344 (74.800)
Epoch: [35][420/14090]	Time 0.760 (0.781)	Data 0.001 (0.012)	Loss 1.8712 (2.2134)	Prec@1 51.562 (44.338)	Prec@5 84.375 (74.865)
Epoch: [35][430/14090]	Time 0.756 (0.781)	Data 0.001 (0.011)	Loss 2.3438 (2.2134)	Prec@1 36.719 (44.335)	Prec@5 73.438 (74.882)
Epoch: [35][440/14090]	Time 0.737 (0.780)	Data 0.001 (0.011)	Loss 2.4458 (2.2147)	Prec@1 41.406 (44.322)	Prec@5 75.000 (74.842)
Epoch: [35][450/14090]	Time 0.899 (0.780)	Data 0.001 (0.011)	Loss 2.3885 (2.2150)	Prec@1 47.656 (44.358)	Prec@5 75.000 (74.841)
Epoch: [35][460/14090]	Time 0.762 (0.780)	Data 0.001 (0.011)	Loss 2.4414 (2.2190)	Prec@1 46.094 (44.297)	Prec@5 67.969 (74.771)
Epoch: [35][470/14090]	Time 0.763 (0.780)	Data 0.001 (0.010)	Loss 2.2072 (2.2184)	Prec@1 42.969 (44.301)	Prec@5 73.438 (74.803)
Epoch: [35][480/14090]	Time 0.748 (0.780)	Data 0.001 (0.010)	Loss 2.4165 (2.2197)	Prec@1 37.500 (44.252)	Prec@5 70.312 (74.792)
Epoch: [35][490/14090]	Time 0.767 (0.779)	Data 0.001 (0.010)	Loss 1.9538 (2.2183)	Prec@1 46.094 (44.277)	Prec@5 81.250 (74.812)
Epoch: [35][500/14090]	Time 0.752 (0.779)	Data 0.001 (0.010)	Loss 2.2115 (2.2197)	Prec@1 39.062 (44.257)	Prec@5 78.125 (74.785)
Epoch: [35][510/14090]	Time 0.763 (0.779)	Data 0.002 (0.010)	Loss 2.0790 (2.2185)	Prec@1 46.094 (44.270)	Prec@5 76.562 (74.815)
Epoch: [35][520/14090]	Time 0.865 (0.779)	Data 0.001 (0.010)	Loss 2.4521 (2.2191)	Prec@1 37.500 (44.269)	Prec@5 74.219 (74.819)
Epoch: [35][530/14090]	Time 0.779 (0.779)	Data 0.001 (0.009)	Loss 2.1807 (2.2197)	Prec@1 41.406 (44.236)	Prec@5 75.781 (74.784)
Epoch: [35][540/14090]	Time 0.765 (0.779)	Data 0.001 (0.009)	Loss 2.0950 (2.2197)	Prec@1 48.438 (44.261)	Prec@5 81.250 (74.775)
Epoch: [35][550/14090]	Time 0.742 (0.779)	Data 0.001 (0.009)	Loss 2.0094 (2.2192)	Prec@1 45.312 (44.263)	Prec@5 78.906 (74.782)
Epoch: [35][560/14090]	Time 0.775 (0.778)	Data 0.001 (0.009)	Loss 2.1452 (2.2173)	Prec@1 49.219 (44.320)	Prec@5 75.781 (74.812)
Epoch: [35][570/14090]	Time 0.737 (0.778)	Data 0.001 (0.009)	Loss 2.3585 (2.2167)	Prec@1 41.406 (44.307)	Prec@5 72.656 (74.836)
Epoch: [35][580/14090]	Time 0.750 (0.778)	Data 0.001 (0.009)	Loss 2.1748 (2.2159)	Prec@1 44.531 (44.332)	Prec@5 78.125 (74.847)
Epoch: [35][590/14090]	Time 0.906 (0.778)	Data 0.001 (0.009)	Loss 2.5555 (2.2169)	Prec@1 35.938 (44.316)	Prec@5 67.188 (74.827)
Epoch: [35][600/14090]	Time 0.787 (0.778)	Data 0.001 (0.008)	Loss 2.3240 (2.2170)	Prec@1 50.781 (44.356)	Prec@5 71.875 (74.819)
Epoch: [35][610/14090]	Time 0.738 (0.778)	Data 0.001 (0.008)	Loss 2.1945 (2.2173)	Prec@1 49.219 (44.360)	Prec@5 74.219 (74.807)
Epoch: [35][620/14090]	Time 0.731 (0.778)	Data 0.001 (0.008)	Loss 2.1512 (2.2167)	Prec@1 49.219 (44.379)	Prec@5 75.000 (74.801)
Epoch: [35][630/14090]	Time 0.758 (0.778)	Data 0.001 (0.008)	Loss 2.3466 (2.2181)	Prec@1 46.094 (44.383)	Prec@5 73.438 (74.767)
Epoch: [35][640/14090]	Time 0.759 (0.778)	Data 0.001 (0.008)	Loss 2.4630 (2.2181)	Prec@1 36.719 (44.385)	Prec@5 68.750 (74.761)
Epoch: [35][650/14090]	Time 0.742 (0.778)	Data 0.001 (0.008)	Loss 2.3133 (2.2169)	Prec@1 42.188 (44.403)	Prec@5 75.781 (74.778)
Epoch: [35][660/14090]	Time 0.993 (0.778)	Data 0.001 (0.008)	Loss 2.1677 (2.2176)	Prec@1 39.844 (44.385)	Prec@5 78.906 (74.780)
Epoch: [35][670/14090]	Time 0.765 (0.778)	Data 0.001 (0.008)	Loss 2.2283 (2.2170)	Prec@1 48.438 (44.414)	Prec@5 76.562 (74.804)
Epoch: [35][680/14090]	Time 0.753 (0.777)	Data 0.001 (0.008)	Loss 2.5121 (2.2184)	Prec@1 41.406 (44.394)	Prec@5 66.406 (74.769)
Epoch: [35][690/14090]	Time 0.753 (0.777)	Data 0.001 (0.007)	Loss 2.2632 (2.2199)	Prec@1 43.750 (44.362)	Prec@5 68.750 (74.722)
Epoch: [35][700/14090]	Time 0.770 (0.777)	Data 0.001 (0.007)	Loss 2.3147 (2.2214)	Prec@1 45.312 (44.343)	Prec@5 73.438 (74.697)
Epoch: [35][710/14090]	Time 0.747 (0.777)	Data 0.001 (0.007)	Loss 2.2863 (2.2215)	Prec@1 46.875 (44.347)	Prec@5 73.438 (74.690)
Epoch: [35][720/14090]	Time 0.753 (0.777)	Data 0.001 (0.007)	Loss 2.0997 (2.2211)	Prec@1 42.969 (44.333)	Prec@5 75.000 (74.688)
Epoch: [35][730/14090]	Time 0.893 (0.777)	Data 0.001 (0.007)	Loss 2.4564 (2.2212)	Prec@1 40.625 (44.323)	Prec@5 71.094 (74.704)
Epoch: [35][740/14090]	Time 0.756 (0.777)	Data 0.001 (0.007)	Loss 2.0218 (2.2222)	Prec@1 51.562 (44.295)	Prec@5 82.031 (74.692)
Epoch: [35][750/14090]	Time 0.759 (0.776)	Data 0.001 (0.007)	Loss 2.2767 (2.2217)	Prec@1 46.094 (44.298)	Prec@5 71.094 (74.697)
Epoch: [35][760/14090]	Time 0.756 (0.776)	Data 0.001 (0.007)	Loss 2.2537 (2.2216)	Prec@1 39.844 (44.305)	Prec@5 71.875 (74.712)
Epoch: [35][770/14090]	Time 0.751 (0.776)	Data 0.001 (0.007)	Loss 2.2091 (2.2218)	Prec@1 47.656 (44.298)	Prec@5 71.094 (74.700)
Epoch: [35][780/14090]	Time 0.736 (0.776)	Data 0.001 (0.007)	Loss 2.1712 (2.2220)	Prec@1 46.875 (44.306)	Prec@5 77.344 (74.706)
Epoch: [35][790/14090]	Time 0.748 (0.776)	Data 0.001 (0.007)	Loss 2.3255 (2.2222)	Prec@1 36.719 (44.286)	Prec@5 71.875 (74.696)
Epoch: [35][800/14090]	Time 0.873 (0.776)	Data 0.001 (0.007)	Loss 2.2133 (2.2217)	Prec@1 43.750 (44.305)	Prec@5 77.344 (74.711)
Epoch: [35][810/14090]	Time 0.728 (0.776)	Data 0.001 (0.006)	Loss 2.2332 (2.2222)	Prec@1 48.438 (44.292)	Prec@5 75.781 (74.702)
Epoch: [35][820/14090]	Time 0.757 (0.776)	Data 0.001 (0.006)	Loss 2.2896 (2.2219)	Prec@1 45.312 (44.297)	Prec@5 71.094 (74.705)
Epoch: [35][830/14090]	Time 0.744 (0.776)	Data 0.001 (0.006)	Loss 2.6230 (2.2222)	Prec@1 38.281 (44.288)	Prec@5 71.094 (74.701)
Epoch: [35][840/14090]	Time 0.740 (0.775)	Data 0.001 (0.006)	Loss 2.2046 (2.2224)	Prec@1 44.531 (44.298)	Prec@5 73.438 (74.694)
Epoch: [35][850/14090]	Time 0.727 (0.775)	Data 0.001 (0.006)	Loss 2.4577 (2.2217)	Prec@1 33.594 (44.320)	Prec@5 72.656 (74.694)
Epoch: [35][860/14090]	Time 0.734 (0.775)	Data 0.001 (0.006)	Loss 2.0546 (2.2216)	Prec@1 48.438 (44.313)	Prec@5 72.656 (74.702)
Epoch: [35][870/14090]	Time 0.886 (0.775)	Data 0.001 (0.006)	Loss 2.3180 (2.2225)	Prec@1 48.438 (44.330)	Prec@5 73.438 (74.678)
Epoch: [35][880/14090]	Time 0.774 (0.775)	Data 0.001 (0.006)	Loss 2.1617 (2.2223)	Prec@1 50.781 (44.347)	Prec@5 74.219 (74.684)
Epoch: [35][890/14090]	Time 0.762 (0.775)	Data 0.001 (0.006)	Loss 2.2352 (2.2231)	Prec@1 44.531 (44.330)	Prec@5 71.094 (74.688)
Epoch: [35][900/14090]	Time 0.733 (0.775)	Data 0.001 (0.006)	Loss 2.3011 (2.2230)	Prec@1 41.406 (44.333)	Prec@5 70.312 (74.697)
Epoch: [35][910/14090]	Time 0.756 (0.775)	Data 0.001 (0.006)	Loss 2.6274 (2.2222)	Prec@1 35.938 (44.342)	Prec@5 68.750 (74.717)
Epoch: [35][920/14090]	Time 0.768 (0.775)	Data 0.001 (0.006)	Loss 2.5086 (2.2222)	Prec@1 35.156 (44.323)	Prec@5 67.969 (74.718)
Epoch: [35][930/14090]	Time 0.776 (0.775)	Data 0.001 (0.006)	Loss 2.3333 (2.2224)	Prec@1 47.656 (44.317)	Prec@5 72.656 (74.705)
Epoch: [35][940/14090]	Time 0.887 (0.775)	Data 0.001 (0.006)	Loss 2.5120 (2.2227)	Prec@1 39.062 (44.312)	Prec@5 68.750 (74.704)
Epoch: [35][950/14090]	Time 0.746 (0.775)	Data 0.001 (0.006)	Loss 1.9570 (2.2214)	Prec@1 49.219 (44.330)	Prec@5 79.688 (74.738)
Epoch: [35][960/14090]	Time 0.740 (0.775)	Data 0.001 (0.006)	Loss 2.4922 (2.2218)	Prec@1 39.844 (44.318)	Prec@5 69.531 (74.729)
Epoch: [35][970/14090]	Time 0.782 (0.775)	Data 0.001 (0.006)	Loss 2.1605 (2.2203)	Prec@1 42.188 (44.335)	Prec@5 74.219 (74.759)
Epoch: [35][980/14090]	Time 0.738 (0.775)	Data 0.001 (0.005)	Loss 2.3919 (2.2207)	Prec@1 39.062 (44.314)	Prec@5 74.219 (74.745)
Epoch: [35][990/14090]	Time 0.743 (0.775)	Data 0.001 (0.005)	Loss 2.3044 (2.2207)	Prec@1 38.281 (44.338)	Prec@5 71.875 (74.741)
Epoch: [35][1000/14090]	Time 0.735 (0.775)	Data 0.001 (0.005)	Loss 2.1264 (2.2208)	Prec@1 42.969 (44.335)	Prec@5 79.688 (74.732)
Epoch: [35][1010/14090]	Time 0.857 (0.775)	Data 0.001 (0.005)	Loss 2.2601 (2.2202)	Prec@1 41.406 (44.354)	Prec@5 76.562 (74.747)
Epoch: [35][1020/14090]	Time 0.758 (0.775)	Data 0.001 (0.005)	Loss 2.3082 (2.2196)	Prec@1 45.312 (44.362)	Prec@5 67.969 (74.750)
Epoch: [35][1030/14090]	Time 0.772 (0.775)	Data 0.001 (0.005)	Loss 2.1015 (2.2196)	Prec@1 42.188 (44.337)	Prec@5 77.344 (74.742)
Epoch: [35][1040/14090]	Time 0.737 (0.775)	Data 0.001 (0.005)	Loss 2.1770 (2.2196)	Prec@1 46.094 (44.338)	Prec@5 75.000 (74.744)
Epoch: [35][1050/14090]	Time 0.728 (0.775)	Data 0.001 (0.005)	Loss 2.2553 (2.2194)	Prec@1 46.875 (44.346)	Prec@5 71.875 (74.756)
Epoch: [35][1060/14090]	Time 0.752 (0.775)	Data 0.001 (0.005)	Loss 2.1253 (2.2189)	Prec@1 46.875 (44.360)	Prec@5 75.781 (74.764)
Epoch: [35][1070/14090]	Time 0.723 (0.775)	Data 0.001 (0.005)	Loss 1.7633 (2.2184)	Prec@1 53.125 (44.371)	Prec@5 84.375 (74.771)
Epoch: [35][1080/14090]	Time 0.870 (0.775)	Data 0.001 (0.005)	Loss 2.2921 (2.2188)	Prec@1 40.625 (44.364)	Prec@5 73.438 (74.764)
Epoch: [35][1090/14090]	Time 0.752 (0.775)	Data 0.001 (0.005)	Loss 1.9946 (2.2188)	Prec@1 50.781 (44.367)	Prec@5 82.031 (74.767)
Epoch: [35][1100/14090]	Time 0.769 (0.774)	Data 0.001 (0.005)	Loss 2.1790 (2.2191)	Prec@1 46.094 (44.362)	Prec@5 76.562 (74.760)
Epoch: [35][1110/14090]	Time 0.739 (0.774)	Data 0.001 (0.005)	Loss 2.1762 (2.2190)	Prec@1 46.875 (44.370)	Prec@5 79.688 (74.769)
Epoch: [35][1120/14090]	Time 0.736 (0.774)	Data 0.001 (0.005)	Loss 2.2563 (2.2190)	Prec@1 44.531 (44.366)	Prec@5 73.438 (74.769)
Epoch: [35][1130/14090]	Time 0.746 (0.774)	Data 0.001 (0.005)	Loss 2.7435 (2.2188)	Prec@1 38.281 (44.359)	Prec@5 64.062 (74.763)
Epoch: [35][1140/14090]	Time 0.758 (0.774)	Data 0.001 (0.005)	Loss 2.3384 (2.2190)	Prec@1 33.594 (44.343)	Prec@5 74.219 (74.763)
Epoch: [35][1150/14090]	Time 0.862 (0.774)	Data 0.001 (0.005)	Loss 2.1669 (2.2190)	Prec@1 47.656 (44.347)	Prec@5 75.781 (74.772)
Epoch: [35][1160/14090]	Time 0.735 (0.774)	Data 0.001 (0.005)	Loss 1.9347 (2.2185)	Prec@1 51.562 (44.358)	Prec@5 77.344 (74.782)
Epoch: [35][1170/14090]	Time 0.756 (0.774)	Data 0.001 (0.005)	Loss 2.1703 (2.2185)	Prec@1 49.219 (44.354)	Prec@5 75.000 (74.791)
Epoch: [35][1180/14090]	Time 0.752 (0.774)	Data 0.001 (0.005)	Loss 2.4295 (2.2192)	Prec@1 44.531 (44.343)	Prec@5 75.000 (74.774)
Epoch: [35][1190/14090]	Time 0.765 (0.774)	Data 0.001 (0.005)	Loss 2.0795 (2.2190)	Prec@1 41.406 (44.344)	Prec@5 79.688 (74.782)
Epoch: [35][1200/14090]	Time 0.750 (0.774)	Data 0.001 (0.005)	Loss 2.3848 (2.2194)	Prec@1 42.188 (44.356)	Prec@5 71.094 (74.768)
Epoch: [35][1210/14090]	Time 0.723 (0.774)	Data 0.001 (0.005)	Loss 2.0308 (2.2191)	Prec@1 43.750 (44.354)	Prec@5 77.344 (74.781)
Epoch: [35][1220/14090]	Time 0.824 (0.774)	Data 0.001 (0.005)	Loss 2.3054 (2.2193)	Prec@1 49.219 (44.367)	Prec@5 73.438 (74.778)
Epoch: [35][1230/14090]	Time 0.741 (0.774)	Data 0.001 (0.005)	Loss 2.2958 (2.2195)	Prec@1 41.406 (44.352)	Prec@5 74.219 (74.773)
Epoch: [35][1240/14090]	Time 0.733 (0.774)	Data 0.001 (0.005)	Loss 2.3376 (2.2194)	Prec@1 44.531 (44.344)	Prec@5 74.219 (74.784)
Epoch: [35][1250/14090]	Time 0.744 (0.774)	Data 0.001 (0.004)	Loss 2.2698 (2.2200)	Prec@1 42.188 (44.328)	Prec@5 75.000 (74.770)
Epoch: [35][1260/14090]	Time 0.785 (0.774)	Data 0.001 (0.004)	Loss 2.1946 (2.2201)	Prec@1 45.312 (44.322)	Prec@5 75.000 (74.763)
Epoch: [35][1270/14090]	Time 0.756 (0.774)	Data 0.001 (0.004)	Loss 1.9693 (2.2204)	Prec@1 46.094 (44.315)	Prec@5 80.469 (74.761)
Epoch: [35][1280/14090]	Time 0.744 (0.774)	Data 0.001 (0.004)	Loss 2.3850 (2.2206)	Prec@1 42.188 (44.314)	Prec@5 71.875 (74.753)
Epoch: [35][1290/14090]	Time 0.930 (0.774)	Data 0.001 (0.004)	Loss 1.9767 (2.2206)	Prec@1 43.750 (44.296)	Prec@5 80.469 (74.757)
Epoch: [35][1300/14090]	Time 0.738 (0.774)	Data 0.001 (0.004)	Loss 2.2759 (2.2202)	Prec@1 42.188 (44.293)	Prec@5 75.781 (74.769)
Epoch: [35][1310/14090]	Time 0.741 (0.774)	Data 0.001 (0.004)	Loss 2.2295 (2.2195)	Prec@1 50.781 (44.310)	Prec@5 78.906 (74.790)
Epoch: [35][1320/14090]	Time 0.738 (0.774)	Data 0.001 (0.004)	Loss 2.2150 (2.2191)	Prec@1 46.094 (44.320)	Prec@5 79.688 (74.800)
Epoch: [35][1330/14090]	Time 0.754 (0.774)	Data 0.001 (0.004)	Loss 2.3826 (2.2196)	Prec@1 39.844 (44.305)	Prec@5 70.312 (74.785)
Epoch: [35][1340/14090]	Time 0.743 (0.774)	Data 0.001 (0.004)	Loss 2.1927 (2.2197)	Prec@1 42.969 (44.298)	Prec@5 75.781 (74.773)
Epoch: [35][1350/14090]	Time 0.746 (0.774)	Data 0.001 (0.004)	Loss 2.3514 (2.2201)	Prec@1 40.625 (44.290)	Prec@5 75.000 (74.766)
Epoch: [35][1360/14090]	Time 0.907 (0.774)	Data 0.001 (0.004)	Loss 2.3247 (2.2205)	Prec@1 40.625 (44.268)	Prec@5 69.531 (74.752)
Epoch: [35][1370/14090]	Time 0.736 (0.774)	Data 0.001 (0.004)	Loss 2.3598 (2.2208)	Prec@1 42.969 (44.273)	Prec@5 69.531 (74.744)
Epoch: [35][1380/14090]	Time 0.759 (0.774)	Data 0.001 (0.004)	Loss 2.6989 (2.2212)	Prec@1 37.500 (44.260)	Prec@5 65.625 (74.743)
Epoch: [35][1390/14090]	Time 0.777 (0.774)	Data 0.001 (0.004)	Loss 2.3882 (2.2215)	Prec@1 42.188 (44.263)	Prec@5 69.531 (74.732)
Epoch: [35][1400/14090]	Time 0.746 (0.774)	Data 0.001 (0.004)	Loss 2.0749 (2.2213)	Prec@1 53.125 (44.279)	Prec@5 77.344 (74.741)
Epoch: [35][1410/14090]	Time 0.758 (0.774)	Data 0.001 (0.004)	Loss 2.2492 (2.2209)	Prec@1 46.094 (44.288)	Prec@5 75.000 (74.758)
Epoch: [35][1420/14090]	Time 0.746 (0.774)	Data 0.001 (0.004)	Loss 2.4279 (2.2210)	Prec@1 39.062 (44.288)	Prec@5 71.094 (74.758)
Epoch: [35][1430/14090]	Time 0.884 (0.774)	Data 0.001 (0.004)	Loss 2.1267 (2.2206)	Prec@1 46.875 (44.287)	Prec@5 74.219 (74.758)
Epoch: [35][1440/14090]	Time 0.814 (0.774)	Data 0.001 (0.004)	Loss 2.1399 (2.2201)	Prec@1 46.875 (44.302)	Prec@5 76.562 (74.771)
Epoch: [35][1450/14090]	Time 0.721 (0.774)	Data 0.001 (0.004)	Loss 2.1195 (2.2197)	Prec@1 42.969 (44.305)	Prec@5 78.125 (74.782)
Epoch: [35][1460/14090]	Time 0.746 (0.774)	Data 0.001 (0.004)	Loss 2.1324 (2.2202)	Prec@1 41.406 (44.295)	Prec@5 76.562 (74.780)
Epoch: [35][1470/14090]	Time 0.734 (0.774)	Data 0.001 (0.004)	Loss 2.1263 (2.2203)	Prec@1 44.531 (44.293)	Prec@5 80.469 (74.775)
Epoch: [35][1480/14090]	Time 0.762 (0.774)	Data 0.001 (0.004)	Loss 2.1798 (2.2202)	Prec@1 44.531 (44.293)	Prec@5 75.000 (74.774)
Epoch: [35][1490/14090]	Time 0.744 (0.774)	Data 0.001 (0.004)	Loss 2.3727 (2.2201)	Prec@1 46.094 (44.300)	Prec@5 74.219 (74.781)
Epoch: [35][1500/14090]	Time 0.919 (0.774)	Data 0.001 (0.004)	Loss 2.0487 (2.2201)	Prec@1 44.531 (44.304)	Prec@5 76.562 (74.769)
Epoch: [35][1510/14090]	Time 0.742 (0.774)	Data 0.001 (0.004)	Loss 2.4433 (2.2204)	Prec@1 42.969 (44.298)	Prec@5 69.531 (74.756)
Epoch: [35][1520/14090]	Time 0.727 (0.774)	Data 0.001 (0.004)	Loss 2.2846 (2.2204)	Prec@1 40.625 (44.297)	Prec@5 71.875 (74.758)
Epoch: [35][1530/14090]	Time 0.743 (0.774)	Data 0.001 (0.004)	Loss 2.0628 (2.2203)	Prec@1 50.000 (44.303)	Prec@5 72.656 (74.759)
Epoch: [35][1540/14090]	Time 0.753 (0.774)	Data 0.001 (0.004)	Loss 2.3120 (2.2197)	Prec@1 43.750 (44.312)	Prec@5 75.781 (74.772)
Epoch: [35][1550/14090]	Time 0.744 (0.774)	Data 0.001 (0.004)	Loss 2.2670 (2.2193)	Prec@1 43.750 (44.321)	Prec@5 73.438 (74.782)
Epoch: [35][1560/14090]	Time 0.756 (0.773)	Data 0.001 (0.004)	Loss 2.4977 (2.2203)	Prec@1 39.062 (44.304)	Prec@5 71.094 (74.765)
Epoch: [35][1570/14090]	Time 0.928 (0.774)	Data 0.001 (0.004)	Loss 2.3256 (2.2200)	Prec@1 43.750 (44.313)	Prec@5 73.438 (74.782)
Epoch: [35][1580/14090]	Time 0.734 (0.774)	Data 0.001 (0.004)	Loss 2.1338 (2.2203)	Prec@1 44.531 (44.316)	Prec@5 75.000 (74.779)
Epoch: [35][1590/14090]	Time 0.740 (0.773)	Data 0.001 (0.004)	Loss 2.6245 (2.2210)	Prec@1 39.062 (44.310)	Prec@5 68.750 (74.772)
Epoch: [35][1600/14090]	Time 0.776 (0.774)	Data 0.001 (0.004)	Loss 1.8324 (2.2208)	Prec@1 50.000 (44.309)	Prec@5 82.031 (74.773)
Epoch: [35][1610/14090]	Time 0.765 (0.773)	Data 0.001 (0.004)	Loss 2.0961 (2.2210)	Prec@1 43.750 (44.299)	Prec@5 74.219 (74.762)
Epoch: [35][1620/14090]	Time 0.739 (0.773)	Data 0.001 (0.004)	Loss 2.3047 (2.2206)	Prec@1 52.344 (44.308)	Prec@5 72.656 (74.774)
Epoch: [35][1630/14090]	Time 0.752 (0.773)	Data 0.001 (0.004)	Loss 2.2503 (2.2204)	Prec@1 42.969 (44.311)	Prec@5 80.469 (74.783)
Epoch: [35][1640/14090]	Time 0.869 (0.773)	Data 0.001 (0.004)	Loss 2.0940 (2.2201)	Prec@1 49.219 (44.321)	Prec@5 78.906 (74.785)
Epoch: [35][1650/14090]	Time 0.744 (0.773)	Data 0.001 (0.004)	Loss 2.3175 (2.2199)	Prec@1 47.656 (44.332)	Prec@5 71.875 (74.797)
Epoch: [35][1660/14090]	Time 0.740 (0.773)	Data 0.001 (0.004)	Loss 2.3973 (2.2202)	Prec@1 38.281 (44.323)	Prec@5 71.875 (74.784)
Epoch: [35][1670/14090]	Time 0.724 (0.773)	Data 0.001 (0.004)	Loss 1.8331 (2.2194)	Prec@1 49.219 (44.338)	Prec@5 79.688 (74.796)
Epoch: [35][1680/14090]	Time 0.753 (0.773)	Data 0.001 (0.004)	Loss 2.0448 (2.2195)	Prec@1 46.875 (44.328)	Prec@5 80.469 (74.796)
Epoch: [35][1690/14090]	Time 0.740 (0.773)	Data 0.001 (0.004)	Loss 2.1930 (2.2195)	Prec@1 47.656 (44.329)	Prec@5 75.781 (74.793)
Epoch: [35][1700/14090]	Time 0.728 (0.773)	Data 0.001 (0.004)	Loss 2.3442 (2.2199)	Prec@1 35.938 (44.324)	Prec@5 73.438 (74.785)
Epoch: [35][1710/14090]	Time 0.916 (0.773)	Data 0.001 (0.004)	Loss 2.4155 (2.2201)	Prec@1 45.312 (44.314)	Prec@5 75.781 (74.782)
Epoch: [35][1720/14090]	Time 0.767 (0.773)	Data 0.001 (0.004)	Loss 2.2970 (2.2208)	Prec@1 42.969 (44.309)	Prec@5 71.094 (74.772)
Epoch: [35][1730/14090]	Time 0.732 (0.773)	Data 0.001 (0.004)	Loss 2.4634 (2.2214)	Prec@1 39.062 (44.297)	Prec@5 71.875 (74.764)
Epoch: [35][1740/14090]	Time 0.749 (0.773)	Data 0.001 (0.003)	Loss 2.0342 (2.2211)	Prec@1 49.219 (44.301)	Prec@5 75.781 (74.766)
Epoch: [35][1750/14090]	Time 0.778 (0.773)	Data 0.001 (0.003)	Loss 2.2105 (2.2213)	Prec@1 38.281 (44.301)	Prec@5 75.781 (74.761)
Epoch: [35][1760/14090]	Time 0.753 (0.773)	Data 0.001 (0.003)	Loss 2.2989 (2.2210)	Prec@1 41.406 (44.304)	Prec@5 72.656 (74.764)
Epoch: [35][1770/14090]	Time 0.751 (0.773)	Data 0.001 (0.003)	Loss 2.0573 (2.2213)	Prec@1 46.875 (44.300)	Prec@5 73.438 (74.758)
Epoch: [35][1780/14090]	Time 0.866 (0.773)	Data 0.001 (0.003)	Loss 2.3793 (2.2213)	Prec@1 42.969 (44.295)	Prec@5 71.094 (74.756)
Epoch: [35][1790/14090]	Time 0.758 (0.773)	Data 0.003 (0.003)	Loss 2.2632 (2.2208)	Prec@1 44.531 (44.307)	Prec@5 71.094 (74.760)
Epoch: [35][1800/14090]	Time 0.757 (0.773)	Data 0.001 (0.003)	Loss 2.3078 (2.2207)	Prec@1 39.062 (44.305)	Prec@5 72.656 (74.761)
Epoch: [35][1810/14090]	Time 0.730 (0.773)	Data 0.001 (0.003)	Loss 2.2087 (2.2208)	Prec@1 47.656 (44.308)	Prec@5 74.219 (74.761)
Epoch: [35][1820/14090]	Time 0.754 (0.773)	Data 0.001 (0.003)	Loss 2.2164 (2.2209)	Prec@1 49.219 (44.309)	Prec@5 78.125 (74.765)
Epoch: [35][1830/14090]	Time 0.758 (0.773)	Data 0.001 (0.003)	Loss 2.0633 (2.2215)	Prec@1 42.969 (44.296)	Prec@5 78.125 (74.760)
Epoch: [35][1840/14090]	Time 0.724 (0.773)	Data 0.001 (0.003)	Loss 1.9668 (2.2210)	Prec@1 48.438 (44.306)	Prec@5 80.469 (74.770)
Epoch: [35][1850/14090]	Time 0.866 (0.773)	Data 0.001 (0.003)	Loss 2.2850 (2.2209)	Prec@1 37.500 (44.308)	Prec@5 71.094 (74.770)
Epoch: [35][1860/14090]	Time 0.760 (0.773)	Data 0.001 (0.003)	Loss 2.0341 (2.2206)	Prec@1 47.656 (44.313)	Prec@5 79.688 (74.776)
Epoch: [35][1870/14090]	Time 0.764 (0.773)	Data 0.001 (0.003)	Loss 2.0079 (2.2209)	Prec@1 46.875 (44.310)	Prec@5 79.688 (74.769)
Epoch: [35][1880/14090]	Time 0.761 (0.773)	Data 0.001 (0.003)	Loss 2.3307 (2.2208)	Prec@1 41.406 (44.301)	Prec@5 75.000 (74.772)
Epoch: [35][1890/14090]	Time 0.759 (0.773)	Data 0.001 (0.003)	Loss 2.3113 (2.2212)	Prec@1 44.531 (44.298)	Prec@5 71.094 (74.765)
Epoch: [35][1900/14090]	Time 0.728 (0.773)	Data 0.001 (0.003)	Loss 2.3603 (2.2208)	Prec@1 42.969 (44.309)	Prec@5 74.219 (74.769)
Epoch: [35][1910/14090]	Time 0.771 (0.773)	Data 0.001 (0.003)	Loss 2.1194 (2.2206)	Prec@1 42.969 (44.314)	Prec@5 79.688 (74.772)
Epoch: [35][1920/14090]	Time 0.869 (0.773)	Data 0.001 (0.003)	Loss 2.5388 (2.2209)	Prec@1 42.969 (44.307)	Prec@5 71.094 (74.767)
Epoch: [35][1930/14090]	Time 0.732 (0.773)	Data 0.002 (0.003)	Loss 1.9176 (2.2210)	Prec@1 50.781 (44.295)	Prec@5 78.906 (74.760)
Epoch: [35][1940/14090]	Time 0.739 (0.773)	Data 0.001 (0.003)	Loss 2.0142 (2.2210)	Prec@1 51.562 (44.296)	Prec@5 79.688 (74.757)
Epoch: [35][1950/14090]	Time 0.760 (0.773)	Data 0.001 (0.003)	Loss 2.1179 (2.2209)	Prec@1 42.188 (44.300)	Prec@5 75.781 (74.756)
Epoch: [35][1960/14090]	Time 0.775 (0.773)	Data 0.001 (0.003)	Loss 2.4890 (2.2210)	Prec@1 42.969 (44.303)	Prec@5 68.750 (74.751)
Epoch: [35][1970/14090]	Time 0.741 (0.773)	Data 0.002 (0.003)	Loss 2.1391 (2.2210)	Prec@1 48.438 (44.303)	Prec@5 80.469 (74.752)
Epoch: [35][1980/14090]	Time 0.774 (0.773)	Data 0.001 (0.003)	Loss 2.5145 (2.2216)	Prec@1 42.188 (44.293)	Prec@5 71.094 (74.747)
Epoch: [35][1990/14090]	Time 0.849 (0.773)	Data 0.001 (0.003)	Loss 2.4720 (2.2216)	Prec@1 39.844 (44.294)	Prec@5 71.094 (74.736)
Epoch: [35][2000/14090]	Time 0.763 (0.773)	Data 0.002 (0.003)	Loss 2.0843 (2.2218)	Prec@1 49.219 (44.287)	Prec@5 79.688 (74.736)
Epoch: [35][2010/14090]	Time 0.733 (0.773)	Data 0.001 (0.003)	Loss 2.4340 (2.2220)	Prec@1 39.062 (44.282)	Prec@5 70.312 (74.733)
Epoch: [35][2020/14090]	Time 0.775 (0.773)	Data 0.001 (0.003)	Loss 2.3479 (2.2216)	Prec@1 36.719 (44.286)	Prec@5 75.000 (74.739)
Epoch: [35][2030/14090]	Time 0.735 (0.773)	Data 0.001 (0.003)	Loss 2.0333 (2.2217)	Prec@1 44.531 (44.284)	Prec@5 81.250 (74.739)
Epoch: [35][2040/14090]	Time 0.729 (0.773)	Data 0.001 (0.003)	Loss 2.3367 (2.2217)	Prec@1 42.188 (44.283)	Prec@5 69.531 (74.734)
Epoch: [35][2050/14090]	Time 0.721 (0.773)	Data 0.001 (0.003)	Loss 2.1202 (2.2217)	Prec@1 43.750 (44.289)	Prec@5 75.781 (74.738)
Epoch: [35][2060/14090]	Time 0.836 (0.773)	Data 0.001 (0.003)	Loss 1.9970 (2.2218)	Prec@1 44.531 (44.287)	Prec@5 83.594 (74.739)
Epoch: [35][2070/14090]	Time 0.732 (0.772)	Data 0.001 (0.003)	Loss 2.0389 (2.2213)	Prec@1 48.438 (44.291)	Prec@5 81.250 (74.753)
Epoch: [35][2080/14090]	Time 0.755 (0.772)	Data 0.001 (0.003)	Loss 2.3058 (2.2216)	Prec@1 43.750 (44.293)	Prec@5 75.000 (74.747)
Epoch: [35][2090/14090]	Time 0.756 (0.772)	Data 0.001 (0.003)	Loss 2.1610 (2.2218)	Prec@1 42.969 (44.283)	Prec@5 75.000 (74.737)
Epoch: [35][2100/14090]	Time 0.749 (0.772)	Data 0.001 (0.003)	Loss 2.2982 (2.2217)	Prec@1 40.625 (44.281)	Prec@5 73.438 (74.739)
Epoch: [35][2110/14090]	Time 0.758 (0.772)	Data 0.001 (0.003)	Loss 2.2409 (2.2220)	Prec@1 41.406 (44.274)	Prec@5 75.000 (74.731)
Epoch: [35][2120/14090]	Time 0.737 (0.772)	Data 0.001 (0.003)	Loss 2.1177 (2.2222)	Prec@1 50.000 (44.271)	Prec@5 74.219 (74.731)
Epoch: [35][2130/14090]	Time 0.886 (0.772)	Data 0.001 (0.003)	Loss 2.1665 (2.2219)	Prec@1 47.656 (44.273)	Prec@5 74.219 (74.732)
Epoch: [35][2140/14090]	Time 0.754 (0.772)	Data 0.001 (0.003)	Loss 2.3179 (2.2219)	Prec@1 39.062 (44.280)	Prec@5 69.531 (74.729)
Epoch: [35][2150/14090]	Time 0.775 (0.772)	Data 0.001 (0.003)	Loss 2.2689 (2.2216)	Prec@1 42.188 (44.283)	Prec@5 74.219 (74.734)
Epoch: [35][2160/14090]	Time 0.736 (0.772)	Data 0.001 (0.003)	Loss 2.1296 (2.2218)	Prec@1 46.094 (44.277)	Prec@5 76.562 (74.730)
Epoch: [35][2170/14090]	Time 0.736 (0.772)	Data 0.001 (0.003)	Loss 2.1440 (2.2220)	Prec@1 49.219 (44.273)	Prec@5 75.000 (74.723)
Epoch: [35][2180/14090]	Time 0.729 (0.772)	Data 0.001 (0.003)	Loss 2.3660 (2.2221)	Prec@1 42.188 (44.265)	Prec@5 70.312 (74.722)
Epoch: [35][2190/14090]	Time 0.732 (0.772)	Data 0.001 (0.003)	Loss 2.0685 (2.2219)	Prec@1 46.094 (44.265)	Prec@5 78.125 (74.726)
Epoch: [35][2200/14090]	Time 0.894 (0.772)	Data 0.001 (0.003)	Loss 2.2738 (2.2219)	Prec@1 41.406 (44.270)	Prec@5 78.906 (74.732)
Epoch: [35][2210/14090]	Time 0.790 (0.772)	Data 0.001 (0.003)	Loss 2.0732 (2.2218)	Prec@1 46.875 (44.272)	Prec@5 80.469 (74.736)
Epoch: [35][2220/14090]	Time 0.741 (0.772)	Data 0.001 (0.003)	Loss 2.2664 (2.2218)	Prec@1 39.844 (44.271)	Prec@5 75.781 (74.738)
Epoch: [35][2230/14090]	Time 0.768 (0.772)	Data 0.001 (0.003)	Loss 2.2651 (2.2221)	Prec@1 42.188 (44.267)	Prec@5 71.875 (74.738)
Epoch: [35][2240/14090]	Time 0.758 (0.772)	Data 0.001 (0.003)	Loss 2.2187 (2.2221)	Prec@1 42.188 (44.267)	Prec@5 76.562 (74.734)
Epoch: [35][2250/14090]	Time 0.780 (0.772)	Data 0.001 (0.003)	Loss 2.0689 (2.2225)	Prec@1 44.531 (44.263)	Prec@5 77.344 (74.725)
Epoch: [35][2260/14090]	Time 0.763 (0.772)	Data 0.001 (0.003)	Loss 2.1517 (2.2225)	Prec@1 47.656 (44.260)	Prec@5 78.906 (74.726)
Epoch: [35][2270/14090]	Time 0.879 (0.772)	Data 0.001 (0.003)	Loss 2.2270 (2.2224)	Prec@1 45.312 (44.265)	Prec@5 75.781 (74.728)
Epoch: [35][2280/14090]	Time 0.780 (0.772)	Data 0.001 (0.003)	Loss 2.2645 (2.2226)	Prec@1 42.188 (44.255)	Prec@5 77.344 (74.727)
Epoch: [35][2290/14090]	Time 0.765 (0.772)	Data 0.001 (0.003)	Loss 2.1147 (2.2225)	Prec@1 45.312 (44.251)	Prec@5 75.781 (74.726)
Epoch: [35][2300/14090]	Time 0.778 (0.772)	Data 0.001 (0.003)	Loss 2.1582 (2.2227)	Prec@1 41.406 (44.247)	Prec@5 77.344 (74.724)
Epoch: [35][2310/14090]	Time 0.725 (0.772)	Data 0.001 (0.003)	Loss 1.9509 (2.2226)	Prec@1 50.000 (44.247)	Prec@5 82.812 (74.726)
Epoch: [35][2320/14090]	Time 0.765 (0.772)	Data 0.001 (0.003)	Loss 2.1234 (2.2228)	Prec@1 40.625 (44.241)	Prec@5 79.688 (74.726)
Epoch: [35][2330/14090]	Time 0.725 (0.772)	Data 0.001 (0.003)	Loss 2.2090 (2.2227)	Prec@1 42.969 (44.247)	Prec@5 74.219 (74.728)
Epoch: [35][2340/14090]	Time 0.937 (0.772)	Data 0.001 (0.003)	Loss 2.0655 (2.2229)	Prec@1 50.781 (44.246)	Prec@5 72.656 (74.723)
Epoch: [35][2350/14090]	Time 0.732 (0.772)	Data 0.001 (0.003)	Loss 2.4319 (2.2229)	Prec@1 44.531 (44.255)	Prec@5 69.531 (74.721)
Epoch: [35][2360/14090]	Time 0.765 (0.772)	Data 0.001 (0.003)	Loss 2.4824 (2.2231)	Prec@1 42.188 (44.250)	Prec@5 71.875 (74.716)
Epoch: [35][2370/14090]	Time 0.756 (0.772)	Data 0.001 (0.003)	Loss 2.3761 (2.2230)	Prec@1 42.969 (44.257)	Prec@5 70.312 (74.722)
Epoch: [35][2380/14090]	Time 0.742 (0.772)	Data 0.001 (0.003)	Loss 2.2493 (2.2233)	Prec@1 36.719 (44.250)	Prec@5 71.875 (74.720)
Epoch: [35][2390/14090]	Time 0.734 (0.772)	Data 0.001 (0.003)	Loss 2.4000 (2.2231)	Prec@1 39.062 (44.246)	Prec@5 67.969 (74.720)
Epoch: [35][2400/14090]	Time 0.744 (0.772)	Data 0.001 (0.003)	Loss 2.1113 (2.2230)	Prec@1 49.219 (44.245)	Prec@5 78.125 (74.720)
Epoch: [35][2410/14090]	Time 0.854 (0.772)	Data 0.001 (0.003)	Loss 2.2269 (2.2231)	Prec@1 43.750 (44.245)	Prec@5 76.562 (74.719)
Epoch: [35][2420/14090]	Time 0.741 (0.772)	Data 0.001 (0.003)	Loss 2.0069 (2.2228)	Prec@1 47.656 (44.245)	Prec@5 80.469 (74.729)
Epoch: [35][2430/14090]	Time 0.736 (0.772)	Data 0.001 (0.003)	Loss 2.1924 (2.2229)	Prec@1 46.094 (44.248)	Prec@5 75.781 (74.731)
Epoch: [35][2440/14090]	Time 0.726 (0.772)	Data 0.001 (0.003)	Loss 2.1755 (2.2226)	Prec@1 42.969 (44.259)	Prec@5 79.688 (74.740)
Epoch: [35][2450/14090]	Time 0.754 (0.772)	Data 0.001 (0.003)	Loss 2.5660 (2.2229)	Prec@1 35.938 (44.248)	Prec@5 70.312 (74.739)
Epoch: [35][2460/14090]	Time 0.760 (0.772)	Data 0.001 (0.003)	Loss 2.2518 (2.2231)	Prec@1 42.188 (44.244)	Prec@5 79.688 (74.735)
Epoch: [35][2470/14090]	Time 0.781 (0.772)	Data 0.001 (0.003)	Loss 2.3296 (2.2231)	Prec@1 41.406 (44.245)	Prec@5 75.000 (74.739)
Epoch: [35][2480/14090]	Time 0.874 (0.772)	Data 0.001 (0.003)	Loss 2.0183 (2.2231)	Prec@1 49.219 (44.244)	Prec@5 74.219 (74.734)
Epoch: [35][2490/14090]	Time 0.720 (0.772)	Data 0.001 (0.003)	Loss 2.3789 (2.2229)	Prec@1 41.406 (44.245)	Prec@5 70.312 (74.733)
Epoch: [35][2500/14090]	Time 0.764 (0.772)	Data 0.001 (0.003)	Loss 2.1199 (2.2227)	Prec@1 43.750 (44.249)	Prec@5 71.875 (74.736)
Epoch: [35][2510/14090]	Time 0.758 (0.772)	Data 0.001 (0.003)	Loss 2.1268 (2.2226)	Prec@1 43.750 (44.252)	Prec@5 75.000 (74.743)
Epoch: [35][2520/14090]	Time 0.728 (0.772)	Data 0.001 (0.003)	Loss 2.1958 (2.2224)	Prec@1 42.188 (44.260)	Prec@5 73.438 (74.743)
Epoch: [35][2530/14090]	Time 0.757 (0.772)	Data 0.001 (0.003)	Loss 2.4199 (2.2222)	Prec@1 34.375 (44.263)	Prec@5 75.781 (74.744)
Epoch: [35][2540/14090]	Time 0.776 (0.772)	Data 0.001 (0.003)	Loss 2.3578 (2.2222)	Prec@1 43.750 (44.259)	Prec@5 72.656 (74.745)
Epoch: [35][2550/14090]	Time 0.906 (0.772)	Data 0.001 (0.003)	Loss 2.2411 (2.2221)	Prec@1 43.750 (44.256)	Prec@5 73.438 (74.751)
Epoch: [35][2560/14090]	Time 0.751 (0.772)	Data 0.001 (0.003)	Loss 1.9319 (2.2221)	Prec@1 56.250 (44.254)	Prec@5 85.156 (74.755)
Epoch: [35][2570/14090]	Time 0.783 (0.772)	Data 0.001 (0.003)	Loss 2.3550 (2.2222)	Prec@1 44.531 (44.251)	Prec@5 71.094 (74.755)
Epoch: [35][2580/14090]	Time 0.761 (0.772)	Data 0.001 (0.003)	Loss 2.0117 (2.2221)	Prec@1 47.656 (44.255)	Prec@5 78.906 (74.755)
Epoch: [35][2590/14090]	Time 0.752 (0.772)	Data 0.001 (0.003)	Loss 2.0325 (2.2220)	Prec@1 44.531 (44.246)	Prec@5 77.344 (74.764)
Epoch: [35][2600/14090]	Time 0.728 (0.772)	Data 0.001 (0.003)	Loss 2.3386 (2.2218)	Prec@1 46.875 (44.254)	Prec@5 71.094 (74.769)
Epoch: [35][2610/14090]	Time 0.746 (0.772)	Data 0.001 (0.003)	Loss 2.1768 (2.2220)	Prec@1 45.312 (44.244)	Prec@5 75.781 (74.770)
Epoch: [35][2620/14090]	Time 0.868 (0.772)	Data 0.001 (0.003)	Loss 2.4794 (2.2222)	Prec@1 34.375 (44.237)	Prec@5 68.750 (74.768)
Epoch: [35][2630/14090]	Time 0.733 (0.772)	Data 0.001 (0.003)	Loss 2.3545 (2.2223)	Prec@1 35.156 (44.239)	Prec@5 73.438 (74.764)
Epoch: [35][2640/14090]	Time 0.730 (0.772)	Data 0.001 (0.003)	Loss 2.2437 (2.2225)	Prec@1 46.875 (44.233)	Prec@5 71.094 (74.757)
Epoch: [35][2650/14090]	Time 0.766 (0.772)	Data 0.001 (0.003)	Loss 2.2782 (2.2226)	Prec@1 45.312 (44.232)	Prec@5 68.750 (74.755)
Epoch: [35][2660/14090]	Time 0.735 (0.772)	Data 0.001 (0.003)	Loss 2.0502 (2.2229)	Prec@1 47.656 (44.221)	Prec@5 78.125 (74.749)
Epoch: [35][2670/14090]	Time 0.746 (0.772)	Data 0.001 (0.003)	Loss 2.2079 (2.2229)	Prec@1 41.406 (44.217)	Prec@5 70.312 (74.746)
Epoch: [35][2680/14090]	Time 0.770 (0.772)	Data 0.001 (0.003)	Loss 2.4217 (2.2230)	Prec@1 43.750 (44.214)	Prec@5 66.406 (74.739)
Epoch: [35][2690/14090]	Time 0.862 (0.772)	Data 0.001 (0.003)	Loss 1.9406 (2.2228)	Prec@1 50.000 (44.221)	Prec@5 78.125 (74.742)
Epoch: [35][2700/14090]	Time 0.749 (0.772)	Data 0.001 (0.003)	Loss 2.3451 (2.2229)	Prec@1 35.156 (44.217)	Prec@5 76.562 (74.746)
Epoch: [35][2710/14090]	Time 0.722 (0.772)	Data 0.001 (0.003)	Loss 2.2172 (2.2229)	Prec@1 36.719 (44.216)	Prec@5 77.344 (74.747)
Epoch: [35][2720/14090]	Time 0.760 (0.772)	Data 0.001 (0.003)	Loss 1.9801 (2.2228)	Prec@1 50.781 (44.220)	Prec@5 79.688 (74.753)
Epoch: [35][2730/14090]	Time 0.768 (0.772)	Data 0.001 (0.003)	Loss 2.5218 (2.2226)	Prec@1 35.938 (44.224)	Prec@5 66.406 (74.755)
Epoch: [35][2740/14090]	Time 0.755 (0.772)	Data 0.001 (0.003)	Loss 2.2758 (2.2225)	Prec@1 39.062 (44.225)	Prec@5 76.562 (74.755)
Epoch: [35][2750/14090]	Time 0.742 (0.772)	Data 0.002 (0.003)	Loss 2.3889 (2.2227)	Prec@1 44.531 (44.229)	Prec@5 74.219 (74.750)
Epoch: [35][2760/14090]	Time 0.861 (0.772)	Data 0.001 (0.003)	Loss 2.3399 (2.2228)	Prec@1 42.188 (44.227)	Prec@5 72.656 (74.746)
Epoch: [35][2770/14090]	Time 0.770 (0.772)	Data 0.001 (0.003)	Loss 1.9504 (2.2228)	Prec@1 47.656 (44.226)	Prec@5 75.781 (74.749)
Epoch: [35][2780/14090]	Time 0.749 (0.772)	Data 0.001 (0.003)	Loss 2.3728 (2.2228)	Prec@1 39.062 (44.217)	Prec@5 71.094 (74.748)
Epoch: [35][2790/14090]	Time 0.752 (0.772)	Data 0.001 (0.003)	Loss 2.2219 (2.2231)	Prec@1 46.094 (44.212)	Prec@5 70.312 (74.744)
Epoch: [35][2800/14090]	Time 0.760 (0.772)	Data 0.001 (0.003)	Loss 2.5106 (2.2231)	Prec@1 39.062 (44.212)	Prec@5 65.625 (74.746)
Epoch: [35][2810/14090]	Time 0.765 (0.772)	Data 0.003 (0.003)	Loss 2.2582 (2.2232)	Prec@1 44.531 (44.207)	Prec@5 71.094 (74.739)
Epoch: [35][2820/14090]	Time 0.729 (0.772)	Data 0.001 (0.003)	Loss 2.0627 (2.2233)	Prec@1 50.000 (44.208)	Prec@5 78.906 (74.735)
Epoch: [35][2830/14090]	Time 0.881 (0.772)	Data 0.001 (0.003)	Loss 2.3693 (2.2236)	Prec@1 40.625 (44.207)	Prec@5 71.875 (74.731)
Epoch: [35][2840/14090]	Time 0.745 (0.772)	Data 0.001 (0.002)	Loss 2.5637 (2.2238)	Prec@1 41.406 (44.208)	Prec@5 67.188 (74.725)
Epoch: [35][2850/14090]	Time 0.744 (0.772)	Data 0.001 (0.002)	Loss 2.5724 (2.2242)	Prec@1 34.375 (44.206)	Prec@5 71.875 (74.721)
Epoch: [35][2860/14090]	Time 0.758 (0.772)	Data 0.001 (0.002)	Loss 2.3482 (2.2242)	Prec@1 35.156 (44.207)	Prec@5 74.219 (74.722)
Epoch: [35][2870/14090]	Time 0.768 (0.772)	Data 0.001 (0.002)	Loss 2.0476 (2.2241)	Prec@1 51.562 (44.208)	Prec@5 71.094 (74.718)
Epoch: [35][2880/14090]	Time 0.758 (0.772)	Data 0.001 (0.002)	Loss 2.6401 (2.2242)	Prec@1 35.156 (44.206)	Prec@5 64.062 (74.710)
Epoch: [35][2890/14090]	Time 0.741 (0.772)	Data 0.001 (0.002)	Loss 2.1323 (2.2243)	Prec@1 49.219 (44.204)	Prec@5 75.000 (74.712)
Epoch: [35][2900/14090]	Time 0.834 (0.772)	Data 0.001 (0.002)	Loss 2.3407 (2.2242)	Prec@1 42.969 (44.206)	Prec@5 68.750 (74.713)
Epoch: [35][2910/14090]	Time 0.748 (0.772)	Data 0.001 (0.002)	Loss 2.3376 (2.2244)	Prec@1 39.844 (44.201)	Prec@5 69.531 (74.711)
Epoch: [35][2920/14090]	Time 0.734 (0.772)	Data 0.001 (0.002)	Loss 2.1752 (2.2245)	Prec@1 42.188 (44.192)	Prec@5 70.312 (74.706)
Epoch: [35][2930/14090]	Time 0.761 (0.772)	Data 0.001 (0.002)	Loss 2.0765 (2.2246)	Prec@1 46.094 (44.190)	Prec@5 80.469 (74.709)
Epoch: [35][2940/14090]	Time 0.762 (0.772)	Data 0.001 (0.002)	Loss 2.2215 (2.2245)	Prec@1 46.094 (44.192)	Prec@5 71.875 (74.703)
Epoch: [35][2950/14090]	Time 0.753 (0.772)	Data 0.001 (0.002)	Loss 2.2169 (2.2247)	Prec@1 44.531 (44.185)	Prec@5 74.219 (74.700)
Epoch: [35][2960/14090]	Time 0.778 (0.772)	Data 0.001 (0.002)	Loss 2.1710 (2.2249)	Prec@1 46.875 (44.178)	Prec@5 77.344 (74.699)
Epoch: [35][2970/14090]	Time 0.817 (0.772)	Data 0.001 (0.002)	Loss 2.0117 (2.2246)	Prec@1 46.875 (44.184)	Prec@5 77.344 (74.710)
Epoch: [35][2980/14090]	Time 0.764 (0.772)	Data 0.001 (0.002)	Loss 2.2868 (2.2247)	Prec@1 44.531 (44.189)	Prec@5 74.219 (74.709)
Epoch: [35][2990/14090]	Time 0.756 (0.772)	Data 0.001 (0.002)	Loss 2.1111 (2.2247)	Prec@1 47.656 (44.192)	Prec@5 76.562 (74.709)
Epoch: [35][3000/14090]	Time 0.726 (0.772)	Data 0.001 (0.002)	Loss 2.0998 (2.2247)	Prec@1 45.312 (44.192)	Prec@5 77.344 (74.707)
Epoch: [35][3010/14090]	Time 0.752 (0.772)	Data 0.001 (0.002)	Loss 2.4250 (2.2247)	Prec@1 39.062 (44.190)	Prec@5 71.875 (74.706)
Epoch: [35][3020/14090]	Time 0.777 (0.772)	Data 0.001 (0.002)	Loss 2.3112 (2.2246)	Prec@1 42.969 (44.191)	Prec@5 71.094 (74.705)
Epoch: [35][3030/14090]	Time 0.757 (0.772)	Data 0.001 (0.002)	Loss 2.5424 (2.2244)	Prec@1 39.844 (44.195)	Prec@5 67.969 (74.711)
Epoch: [35][3040/14090]	Time 0.897 (0.772)	Data 0.001 (0.002)	Loss 1.9828 (2.2244)	Prec@1 46.094 (44.190)	Prec@5 79.688 (74.705)
Epoch: [35][3050/14090]	Time 0.752 (0.772)	Data 0.001 (0.002)	Loss 2.1819 (2.2245)	Prec@1 42.969 (44.184)	Prec@5 75.781 (74.707)
Epoch: [35][3060/14090]	Time 0.759 (0.772)	Data 0.001 (0.002)	Loss 1.9684 (2.2241)	Prec@1 55.469 (44.190)	Prec@5 82.812 (74.721)
Epoch: [35][3070/14090]	Time 0.737 (0.772)	Data 0.001 (0.002)	Loss 2.2091 (2.2240)	Prec@1 45.312 (44.190)	Prec@5 74.219 (74.726)
Epoch: [35][3080/14090]	Time 0.743 (0.772)	Data 0.001 (0.002)	Loss 2.4298 (2.2237)	Prec@1 39.062 (44.192)	Prec@5 70.312 (74.731)
Epoch: [35][3090/14090]	Time 0.753 (0.772)	Data 0.001 (0.002)	Loss 2.4537 (2.2241)	Prec@1 39.844 (44.185)	Prec@5 71.094 (74.725)
Epoch: [35][3100/14090]	Time 0.771 (0.772)	Data 0.001 (0.002)	Loss 2.1726 (2.2240)	Prec@1 43.750 (44.182)	Prec@5 74.219 (74.730)
Epoch: [35][3110/14090]	Time 1.024 (0.772)	Data 0.001 (0.002)	Loss 2.2320 (2.2236)	Prec@1 38.281 (44.186)	Prec@5 78.125 (74.737)
Epoch: [35][3120/14090]	Time 0.748 (0.772)	Data 0.001 (0.002)	Loss 2.1405 (2.2235)	Prec@1 41.406 (44.193)	Prec@5 73.438 (74.738)
Epoch: [35][3130/14090]	Time 0.786 (0.772)	Data 0.001 (0.002)	Loss 2.0004 (2.2233)	Prec@1 46.094 (44.198)	Prec@5 79.688 (74.740)
Epoch: [35][3140/14090]	Time 0.739 (0.772)	Data 0.001 (0.002)	Loss 2.0745 (2.2230)	Prec@1 44.531 (44.204)	Prec@5 78.906 (74.741)
Epoch: [35][3150/14090]	Time 0.749 (0.772)	Data 0.001 (0.002)	Loss 2.1801 (2.2230)	Prec@1 39.062 (44.201)	Prec@5 76.562 (74.741)
Epoch: [35][3160/14090]	Time 0.756 (0.772)	Data 0.001 (0.002)	Loss 2.0795 (2.2228)	Prec@1 51.562 (44.208)	Prec@5 75.781 (74.745)
Epoch: [35][3170/14090]	Time 0.731 (0.772)	Data 0.001 (0.002)	Loss 2.2411 (2.2229)	Prec@1 46.875 (44.207)	Prec@5 75.000 (74.747)
Epoch: [35][3180/14090]	Time 0.891 (0.772)	Data 0.001 (0.002)	Loss 2.0167 (2.2227)	Prec@1 47.656 (44.210)	Prec@5 81.250 (74.749)
Epoch: [35][3190/14090]	Time 0.723 (0.772)	Data 0.001 (0.002)	Loss 2.1142 (2.2227)	Prec@1 47.656 (44.211)	Prec@5 76.562 (74.747)
Epoch: [35][3200/14090]	Time 0.736 (0.772)	Data 0.001 (0.002)	Loss 2.0946 (2.2225)	Prec@1 47.656 (44.214)	Prec@5 78.125 (74.753)
Epoch: [35][3210/14090]	Time 0.746 (0.772)	Data 0.001 (0.002)	Loss 1.9242 (2.2225)	Prec@1 53.906 (44.212)	Prec@5 79.688 (74.753)
Epoch: [35][3220/14090]	Time 0.746 (0.772)	Data 0.001 (0.002)	Loss 2.4357 (2.2226)	Prec@1 42.188 (44.207)	Prec@5 68.750 (74.750)
Epoch: [35][3230/14090]	Time 0.765 (0.772)	Data 0.001 (0.002)	Loss 2.2513 (2.2227)	Prec@1 38.281 (44.208)	Prec@5 71.875 (74.747)
Epoch: [35][3240/14090]	Time 0.749 (0.772)	Data 0.001 (0.002)	Loss 2.1885 (2.2227)	Prec@1 42.188 (44.208)	Prec@5 73.438 (74.746)
Epoch: [35][3250/14090]	Time 0.848 (0.772)	Data 0.001 (0.002)	Loss 2.1714 (2.2226)	Prec@1 46.875 (44.212)	Prec@5 78.125 (74.747)
Epoch: [35][3260/14090]	Time 0.746 (0.772)	Data 0.001 (0.002)	Loss 2.3617 (2.2229)	Prec@1 38.281 (44.207)	Prec@5 72.656 (74.743)
Epoch: [35][3270/14090]	Time 0.744 (0.772)	Data 0.001 (0.002)	Loss 2.2911 (2.2228)	Prec@1 35.938 (44.205)	Prec@5 70.312 (74.745)
Epoch: [35][3280/14090]	Time 0.763 (0.772)	Data 0.001 (0.002)	Loss 2.6135 (2.2229)	Prec@1 37.500 (44.200)	Prec@5 65.625 (74.739)
Epoch: [35][3290/14090]	Time 0.728 (0.772)	Data 0.001 (0.002)	Loss 1.9107 (2.2228)	Prec@1 48.438 (44.200)	Prec@5 78.906 (74.739)
Epoch: [35][3300/14090]	Time 0.751 (0.772)	Data 0.001 (0.002)	Loss 2.1174 (2.2223)	Prec@1 46.094 (44.213)	Prec@5 81.250 (74.750)
Epoch: [35][3310/14090]	Time 0.733 (0.772)	Data 0.001 (0.002)	Loss 2.5320 (2.2224)	Prec@1 37.500 (44.211)	Prec@5 66.406 (74.747)
Epoch: [35][3320/14090]	Time 0.898 (0.772)	Data 0.001 (0.002)	Loss 2.4907 (2.2227)	Prec@1 31.250 (44.206)	Prec@5 70.312 (74.743)
Epoch: [35][3330/14090]	Time 0.739 (0.772)	Data 0.001 (0.002)	Loss 2.2767 (2.2227)	Prec@1 43.750 (44.203)	Prec@5 76.562 (74.743)
Epoch: [35][3340/14090]	Time 0.744 (0.772)	Data 0.001 (0.002)	Loss 2.2697 (2.2226)	Prec@1 50.000 (44.206)	Prec@5 70.312 (74.743)
Epoch: [35][3350/14090]	Time 0.763 (0.772)	Data 0.001 (0.002)	Loss 2.0499 (2.2227)	Prec@1 49.219 (44.204)	Prec@5 76.562 (74.744)
Epoch: [35][3360/14090]	Time 0.734 (0.772)	Data 0.001 (0.002)	Loss 2.1545 (2.2226)	Prec@1 46.875 (44.206)	Prec@5 74.219 (74.744)
Epoch: [35][3370/14090]	Time 0.757 (0.772)	Data 0.001 (0.002)	Loss 2.1736 (2.2227)	Prec@1 42.188 (44.204)	Prec@5 74.219 (74.743)
Epoch: [35][3380/14090]	Time 0.764 (0.772)	Data 0.001 (0.002)	Loss 2.2126 (2.2227)	Prec@1 46.875 (44.205)	Prec@5 74.219 (74.740)
Epoch: [35][3390/14090]	Time 0.894 (0.772)	Data 0.001 (0.002)	Loss 2.2002 (2.2225)	Prec@1 45.312 (44.209)	Prec@5 73.438 (74.742)
Epoch: [35][3400/14090]	Time 0.774 (0.772)	Data 0.001 (0.002)	Loss 2.0529 (2.2226)	Prec@1 50.000 (44.206)	Prec@5 75.781 (74.739)
Epoch: [35][3410/14090]	Time 0.753 (0.772)	Data 0.001 (0.002)	Loss 2.3051 (2.2224)	Prec@1 38.281 (44.209)	Prec@5 71.094 (74.742)
Epoch: [35][3420/14090]	Time 0.733 (0.772)	Data 0.001 (0.002)	Loss 2.0601 (2.2223)	Prec@1 42.969 (44.213)	Prec@5 77.344 (74.748)
Epoch: [35][3430/14090]	Time 0.733 (0.772)	Data 0.001 (0.002)	Loss 2.3741 (2.2222)	Prec@1 36.719 (44.212)	Prec@5 73.438 (74.752)
Epoch: [35][3440/14090]	Time 0.757 (0.772)	Data 0.001 (0.002)	Loss 2.3380 (2.2223)	Prec@1 36.719 (44.208)	Prec@5 72.656 (74.753)
Epoch: [35][3450/14090]	Time 0.751 (0.772)	Data 0.004 (0.002)	Loss 2.2125 (2.2224)	Prec@1 47.656 (44.208)	Prec@5 71.875 (74.751)
Epoch: [35][3460/14090]	Time 0.854 (0.772)	Data 0.001 (0.002)	Loss 2.2073 (2.2227)	Prec@1 49.219 (44.202)	Prec@5 76.562 (74.745)
Epoch: [35][3470/14090]	Time 0.738 (0.772)	Data 0.001 (0.002)	Loss 2.5407 (2.2231)	Prec@1 39.844 (44.195)	Prec@5 66.406 (74.739)
Epoch: [35][3480/14090]	Time 0.752 (0.772)	Data 0.001 (0.002)	Loss 2.3147 (2.2231)	Prec@1 40.625 (44.198)	Prec@5 74.219 (74.743)
Epoch: [35][3490/14090]	Time 0.750 (0.772)	Data 0.001 (0.002)	Loss 2.2359 (2.2231)	Prec@1 46.875 (44.192)	Prec@5 73.438 (74.743)
Epoch: [35][3500/14090]	Time 0.755 (0.772)	Data 0.001 (0.002)	Loss 2.2915 (2.2232)	Prec@1 43.750 (44.189)	Prec@5 68.750 (74.742)
Epoch: [35][3510/14090]	Time 0.760 (0.772)	Data 0.001 (0.002)	Loss 2.1486 (2.2234)	Prec@1 45.312 (44.180)	Prec@5 75.781 (74.740)
Epoch: [35][3520/14090]	Time 0.760 (0.772)	Data 0.002 (0.002)	Loss 2.4927 (2.2235)	Prec@1 40.625 (44.177)	Prec@5 67.188 (74.742)
Epoch: [35][3530/14090]	Time 0.841 (0.772)	Data 0.001 (0.002)	Loss 2.1729 (2.2234)	Prec@1 42.188 (44.176)	Prec@5 75.000 (74.746)
Epoch: [35][3540/14090]	Time 0.754 (0.772)	Data 0.001 (0.002)	Loss 2.3586 (2.2236)	Prec@1 36.719 (44.174)	Prec@5 75.000 (74.744)
Epoch: [35][3550/14090]	Time 0.783 (0.772)	Data 0.001 (0.002)	Loss 2.4164 (2.2237)	Prec@1 36.719 (44.170)	Prec@5 73.438 (74.743)
Epoch: [35][3560/14090]	Time 0.740 (0.772)	Data 0.001 (0.002)	Loss 2.0895 (2.2237)	Prec@1 50.781 (44.173)	Prec@5 83.594 (74.744)
Epoch: [35][3570/14090]	Time 0.761 (0.772)	Data 0.001 (0.002)	Loss 2.4252 (2.2239)	Prec@1 40.625 (44.172)	Prec@5 69.531 (74.741)
Epoch: [35][3580/14090]	Time 0.757 (0.772)	Data 0.001 (0.002)	Loss 2.2362 (2.2241)	Prec@1 46.875 (44.175)	Prec@5 73.438 (74.735)
Epoch: [35][3590/14090]	Time 0.763 (0.772)	Data 0.001 (0.002)	Loss 2.4752 (2.2240)	Prec@1 41.406 (44.176)	Prec@5 66.406 (74.735)
Epoch: [35][3600/14090]	Time 0.904 (0.772)	Data 0.001 (0.002)	Loss 1.8606 (2.2239)	Prec@1 50.000 (44.178)	Prec@5 85.938 (74.738)
Epoch: [35][3610/14090]	Time 0.723 (0.772)	Data 0.001 (0.002)	Loss 2.1779 (2.2239)	Prec@1 41.406 (44.172)	Prec@5 75.000 (74.742)
Epoch: [35][3620/14090]	Time 0.735 (0.772)	Data 0.001 (0.002)	Loss 2.3899 (2.2241)	Prec@1 38.281 (44.169)	Prec@5 73.438 (74.742)
Epoch: [35][3630/14090]	Time 0.742 (0.772)	Data 0.001 (0.002)	Loss 2.2313 (2.2241)	Prec@1 42.188 (44.172)	Prec@5 76.562 (74.741)
Epoch: [35][3640/14090]	Time 0.722 (0.772)	Data 0.001 (0.002)	Loss 2.0117 (2.2241)	Prec@1 50.781 (44.172)	Prec@5 77.344 (74.742)
Epoch: [35][3650/14090]	Time 0.766 (0.772)	Data 0.001 (0.002)	Loss 2.2266 (2.2240)	Prec@1 46.875 (44.179)	Prec@5 75.781 (74.743)
Epoch: [35][3660/14090]	Time 0.748 (0.772)	Data 0.001 (0.002)	Loss 2.1184 (2.2242)	Prec@1 46.094 (44.174)	Prec@5 78.906 (74.740)
Epoch: [35][3670/14090]	Time 0.993 (0.772)	Data 0.001 (0.002)	Loss 2.4003 (2.2241)	Prec@1 48.438 (44.179)	Prec@5 66.406 (74.740)
Epoch: [35][3680/14090]	Time 0.758 (0.772)	Data 0.001 (0.002)	Loss 2.2433 (2.2240)	Prec@1 41.406 (44.183)	Prec@5 75.000 (74.738)
Epoch: [35][3690/14090]	Time 0.729 (0.772)	Data 0.001 (0.002)	Loss 2.1884 (2.2241)	Prec@1 46.094 (44.185)	Prec@5 77.344 (74.738)
Epoch: [35][3700/14090]	Time 0.749 (0.772)	Data 0.001 (0.002)	Loss 2.2681 (2.2243)	Prec@1 44.531 (44.186)	Prec@5 71.875 (74.734)
Epoch: [35][3710/14090]	Time 0.742 (0.772)	Data 0.001 (0.002)	Loss 2.1746 (2.2240)	Prec@1 47.656 (44.191)	Prec@5 76.562 (74.743)
Epoch: [35][3720/14090]	Time 0.737 (0.772)	Data 0.001 (0.002)	Loss 2.3471 (2.2240)	Prec@1 42.188 (44.191)	Prec@5 79.688 (74.749)
Epoch: [35][3730/14090]	Time 0.775 (0.772)	Data 0.001 (0.002)	Loss 2.3504 (2.2242)	Prec@1 45.312 (44.188)	Prec@5 75.000 (74.746)
Epoch: [35][3740/14090]	Time 1.074 (0.772)	Data 0.001 (0.002)	Loss 2.3861 (2.2242)	Prec@1 36.719 (44.184)	Prec@5 69.531 (74.741)
Epoch: [35][3750/14090]	Time 0.731 (0.772)	Data 0.001 (0.002)	Loss 2.1081 (2.2243)	Prec@1 47.656 (44.180)	Prec@5 75.000 (74.739)
Epoch: [35][3760/14090]	Time 0.743 (0.772)	Data 0.001 (0.002)	Loss 2.2105 (2.2243)	Prec@1 42.969 (44.182)	Prec@5 74.219 (74.744)
Epoch: [35][3770/14090]	Time 0.756 (0.772)	Data 0.001 (0.002)	Loss 1.9291 (2.2241)	Prec@1 50.000 (44.183)	Prec@5 78.125 (74.751)
Epoch: [35][3780/14090]	Time 0.790 (0.772)	Data 0.001 (0.002)	Loss 1.9972 (2.2240)	Prec@1 49.219 (44.183)	Prec@5 76.562 (74.755)
Epoch: [35][3790/14090]	Time 0.735 (0.772)	Data 0.001 (0.002)	Loss 1.8484 (2.2238)	Prec@1 50.000 (44.189)	Prec@5 80.469 (74.758)
Epoch: [35][3800/14090]	Time 0.733 (0.772)	Data 0.001 (0.002)	Loss 2.3234 (2.2239)	Prec@1 43.750 (44.188)	Prec@5 74.219 (74.760)
Epoch: [35][3810/14090]	Time 0.847 (0.772)	Data 0.001 (0.002)	Loss 2.3449 (2.2240)	Prec@1 43.750 (44.182)	Prec@5 72.656 (74.760)
Epoch: [35][3820/14090]	Time 0.748 (0.772)	Data 0.001 (0.002)	Loss 2.2634 (2.2239)	Prec@1 41.406 (44.185)	Prec@5 75.000 (74.758)
Epoch: [35][3830/14090]	Time 0.749 (0.772)	Data 0.001 (0.002)	Loss 2.3373 (2.2240)	Prec@1 42.188 (44.182)	Prec@5 68.750 (74.756)
Epoch: [35][3840/14090]	Time 0.754 (0.772)	Data 0.001 (0.002)	Loss 2.4602 (2.2241)	Prec@1 40.625 (44.182)	Prec@5 72.656 (74.757)
Epoch: [35][3850/14090]	Time 0.752 (0.772)	Data 0.001 (0.002)	Loss 2.3029 (2.2241)	Prec@1 41.406 (44.179)	Prec@5 73.438 (74.755)
Epoch: [35][3860/14090]	Time 0.772 (0.772)	Data 0.001 (0.002)	Loss 2.2542 (2.2240)	Prec@1 43.750 (44.180)	Prec@5 76.562 (74.755)
Epoch: [35][3870/14090]	Time 0.739 (0.772)	Data 0.001 (0.002)	Loss 2.1499 (2.2240)	Prec@1 45.312 (44.184)	Prec@5 75.781 (74.756)
Epoch: [35][3880/14090]	Time 0.918 (0.772)	Data 0.001 (0.002)	Loss 1.9618 (2.2238)	Prec@1 50.781 (44.185)	Prec@5 78.906 (74.759)
Epoch: [35][3890/14090]	Time 0.721 (0.772)	Data 0.001 (0.002)	Loss 2.3591 (2.2239)	Prec@1 42.188 (44.184)	Prec@5 75.000 (74.761)
Epoch: [35][3900/14090]	Time 0.736 (0.772)	Data 0.001 (0.002)	Loss 1.9644 (2.2238)	Prec@1 58.594 (44.187)	Prec@5 79.688 (74.761)
Epoch: [35][3910/14090]	Time 0.736 (0.772)	Data 0.001 (0.002)	Loss 2.2845 (2.2240)	Prec@1 46.875 (44.187)	Prec@5 72.656 (74.758)
Epoch: [35][3920/14090]	Time 0.753 (0.772)	Data 0.001 (0.002)	Loss 2.2638 (2.2237)	Prec@1 45.312 (44.198)	Prec@5 73.438 (74.762)
Epoch: [35][3930/14090]	Time 0.733 (0.772)	Data 0.001 (0.002)	Loss 1.9862 (2.2235)	Prec@1 45.312 (44.198)	Prec@5 74.219 (74.765)
Epoch: [35][3940/14090]	Time 0.735 (0.772)	Data 0.001 (0.002)	Loss 2.0593 (2.2236)	Prec@1 49.219 (44.200)	Prec@5 77.344 (74.764)
Epoch: [35][3950/14090]	Time 0.863 (0.772)	Data 0.001 (0.002)	Loss 2.2400 (2.2237)	Prec@1 43.750 (44.197)	Prec@5 75.000 (74.761)
Epoch: [35][3960/14090]	Time 0.779 (0.772)	Data 0.001 (0.002)	Loss 2.0884 (2.2237)	Prec@1 43.750 (44.194)	Prec@5 77.344 (74.761)
Epoch: [35][3970/14090]	Time 0.734 (0.772)	Data 0.001 (0.002)	Loss 2.3981 (2.2241)	Prec@1 48.438 (44.189)	Prec@5 66.406 (74.752)
Epoch: [35][3980/14090]	Time 0.743 (0.772)	Data 0.001 (0.002)	Loss 2.4193 (2.2242)	Prec@1 36.719 (44.186)	Prec@5 68.750 (74.745)
Epoch: [35][3990/14090]	Time 0.788 (0.772)	Data 0.001 (0.002)	Loss 2.3028 (2.2242)	Prec@1 35.156 (44.183)	Prec@5 71.875 (74.742)
Epoch: [35][4000/14090]	Time 0.739 (0.772)	Data 0.001 (0.002)	Loss 2.4923 (2.2243)	Prec@1 38.281 (44.178)	Prec@5 66.406 (74.736)
Epoch: [35][4010/14090]	Time 0.739 (0.772)	Data 0.001 (0.002)	Loss 2.4263 (2.2242)	Prec@1 32.812 (44.177)	Prec@5 69.531 (74.739)
Epoch: [35][4020/14090]	Time 0.866 (0.772)	Data 0.001 (0.002)	Loss 2.3392 (2.2243)	Prec@1 41.406 (44.181)	Prec@5 67.188 (74.735)
Epoch: [35][4030/14090]	Time 0.729 (0.772)	Data 0.001 (0.002)	Loss 2.3610 (2.2244)	Prec@1 43.750 (44.176)	Prec@5 70.312 (74.731)
Epoch: [35][4040/14090]	Time 0.746 (0.772)	Data 0.001 (0.002)	Loss 2.2154 (2.2246)	Prec@1 41.406 (44.171)	Prec@5 74.219 (74.726)
Epoch: [35][4050/14090]	Time 0.725 (0.772)	Data 0.001 (0.002)	Loss 2.1461 (2.2246)	Prec@1 42.969 (44.170)	Prec@5 75.000 (74.728)
Epoch: [35][4060/14090]	Time 0.750 (0.772)	Data 0.002 (0.002)	Loss 2.1665 (2.2246)	Prec@1 43.750 (44.166)	Prec@5 74.219 (74.729)
Epoch: [35][4070/14090]	Time 0.768 (0.772)	Data 0.001 (0.002)	Loss 2.2704 (2.2245)	Prec@1 41.406 (44.166)	Prec@5 71.094 (74.729)
Epoch: [35][4080/14090]	Time 0.739 (0.772)	Data 0.001 (0.002)	Loss 1.9771 (2.2246)	Prec@1 53.125 (44.162)	Prec@5 78.125 (74.727)
Epoch: [35][4090/14090]	Time 0.868 (0.772)	Data 0.001 (0.002)	Loss 2.1791 (2.2245)	Prec@1 44.531 (44.165)	Prec@5 78.125 (74.732)
Epoch: [35][4100/14090]	Time 0.729 (0.772)	Data 0.001 (0.002)	Loss 2.0066 (2.2244)	Prec@1 47.656 (44.167)	Prec@5 85.156 (74.736)
Epoch: [35][4110/14090]	Time 0.758 (0.772)	Data 0.001 (0.002)	Loss 2.1979 (2.2245)	Prec@1 43.750 (44.164)	Prec@5 69.531 (74.731)
Epoch: [35][4120/14090]	Time 0.741 (0.772)	Data 0.003 (0.002)	Loss 2.3530 (2.2245)	Prec@1 39.844 (44.166)	Prec@5 72.656 (74.731)
Epoch: [35][4130/14090]	Time 0.745 (0.772)	Data 0.001 (0.002)	Loss 2.4493 (2.2245)	Prec@1 40.625 (44.165)	Prec@5 70.312 (74.730)
Epoch: [35][4140/14090]	Time 0.749 (0.772)	Data 0.001 (0.002)	Loss 1.9884 (2.2246)	Prec@1 46.094 (44.161)	Prec@5 78.906 (74.727)
Epoch: [35][4150/14090]	Time 0.739 (0.772)	Data 0.001 (0.002)	Loss 2.3890 (2.2246)	Prec@1 40.625 (44.160)	Prec@5 68.750 (74.727)
Epoch: [35][4160/14090]	Time 0.911 (0.772)	Data 0.001 (0.002)	Loss 2.2639 (2.2246)	Prec@1 45.312 (44.161)	Prec@5 74.219 (74.728)
Epoch: [35][4170/14090]	Time 0.762 (0.772)	Data 0.001 (0.002)	Loss 2.1922 (2.2246)	Prec@1 42.969 (44.162)	Prec@5 75.000 (74.726)
Epoch: [35][4180/14090]	Time 0.738 (0.772)	Data 0.001 (0.002)	Loss 2.1746 (2.2246)	Prec@1 45.312 (44.159)	Prec@5 77.344 (74.726)
Epoch: [35][4190/14090]	Time 0.791 (0.772)	Data 0.001 (0.002)	Loss 2.2478 (2.2248)	Prec@1 41.406 (44.157)	Prec@5 78.125 (74.721)
Epoch: [35][4200/14090]	Time 0.741 (0.772)	Data 0.001 (0.002)	Loss 2.4253 (2.2249)	Prec@1 33.594 (44.153)	Prec@5 73.438 (74.717)
Epoch: [35][4210/14090]	Time 0.761 (0.772)	Data 0.001 (0.002)	Loss 2.3825 (2.2251)	Prec@1 41.406 (44.151)	Prec@5 72.656 (74.715)
Epoch: [35][4220/14090]	Time 0.747 (0.772)	Data 0.001 (0.002)	Loss 2.2267 (2.2250)	Prec@1 43.750 (44.151)	Prec@5 75.781 (74.717)
Epoch: [35][4230/14090]	Time 0.865 (0.772)	Data 0.001 (0.002)	Loss 2.1224 (2.2251)	Prec@1 47.656 (44.152)	Prec@5 75.000 (74.712)
Epoch: [35][4240/14090]	Time 0.731 (0.772)	Data 0.001 (0.002)	Loss 2.3518 (2.2251)	Prec@1 43.750 (44.150)	Prec@5 74.219 (74.712)
Epoch: [35][4250/14090]	Time 0.741 (0.772)	Data 0.001 (0.002)	Loss 2.2517 (2.2251)	Prec@1 40.625 (44.150)	Prec@5 75.000 (74.711)
Epoch: [35][4260/14090]	Time 0.788 (0.772)	Data 0.001 (0.002)	Loss 2.3814 (2.2253)	Prec@1 44.531 (44.145)	Prec@5 73.438 (74.706)
Epoch: [35][4270/14090]	Time 0.768 (0.772)	Data 0.001 (0.002)	Loss 2.1350 (2.2252)	Prec@1 45.312 (44.147)	Prec@5 75.781 (74.707)
Epoch: [35][4280/14090]	Time 0.752 (0.772)	Data 0.001 (0.002)	Loss 2.3922 (2.2252)	Prec@1 44.531 (44.146)	Prec@5 74.219 (74.709)
Epoch: [35][4290/14090]	Time 0.716 (0.772)	Data 0.001 (0.002)	Loss 1.9461 (2.2252)	Prec@1 51.562 (44.147)	Prec@5 80.469 (74.707)
Epoch: [35][4300/14090]	Time 0.861 (0.772)	Data 0.001 (0.002)	Loss 2.2129 (2.2254)	Prec@1 49.219 (44.143)	Prec@5 72.656 (74.702)
Epoch: [35][4310/14090]	Time 0.731 (0.772)	Data 0.001 (0.002)	Loss 2.1313 (2.2253)	Prec@1 43.750 (44.148)	Prec@5 72.656 (74.704)
Epoch: [35][4320/14090]	Time 0.740 (0.772)	Data 0.001 (0.002)	Loss 2.1853 (2.2254)	Prec@1 38.281 (44.144)	Prec@5 81.250 (74.704)
Epoch: [35][4330/14090]	Time 0.749 (0.772)	Data 0.001 (0.002)	Loss 2.2665 (2.2255)	Prec@1 48.438 (44.144)	Prec@5 75.781 (74.705)
Epoch: [35][4340/14090]	Time 0.758 (0.772)	Data 0.001 (0.002)	Loss 1.9329 (2.2255)	Prec@1 49.219 (44.143)	Prec@5 78.906 (74.704)
Epoch: [35][4350/14090]	Time 0.753 (0.772)	Data 0.001 (0.002)	Loss 2.0668 (2.2254)	Prec@1 53.906 (44.146)	Prec@5 77.344 (74.704)
Epoch: [35][4360/14090]	Time 0.732 (0.772)	Data 0.001 (0.002)	Loss 2.6571 (2.2254)	Prec@1 38.281 (44.148)	Prec@5 64.062 (74.704)
Epoch: [35][4370/14090]	Time 0.882 (0.772)	Data 0.001 (0.002)	Loss 2.0553 (2.2253)	Prec@1 46.875 (44.150)	Prec@5 81.250 (74.703)
Epoch: [35][4380/14090]	Time 0.747 (0.772)	Data 0.001 (0.002)	Loss 2.3780 (2.2256)	Prec@1 45.312 (44.144)	Prec@5 71.875 (74.702)
Epoch: [35][4390/14090]	Time 0.749 (0.772)	Data 0.001 (0.002)	Loss 2.1677 (2.2256)	Prec@1 46.875 (44.144)	Prec@5 76.562 (74.701)
Epoch: [35][4400/14090]	Time 0.760 (0.772)	Data 0.001 (0.002)	Loss 2.4080 (2.2256)	Prec@1 44.531 (44.144)	Prec@5 75.781 (74.701)
Epoch: [35][4410/14090]	Time 0.745 (0.772)	Data 0.001 (0.002)	Loss 2.4007 (2.2256)	Prec@1 39.844 (44.144)	Prec@5 73.438 (74.703)
Epoch: [35][4420/14090]	Time 0.747 (0.772)	Data 0.001 (0.002)	Loss 2.3319 (2.2259)	Prec@1 45.312 (44.140)	Prec@5 71.094 (74.696)
Epoch: [35][4430/14090]	Time 0.784 (0.772)	Data 0.001 (0.002)	Loss 2.4220 (2.2259)	Prec@1 42.188 (44.141)	Prec@5 65.625 (74.693)
Epoch: [35][4440/14090]	Time 0.875 (0.772)	Data 0.001 (0.002)	Loss 2.2228 (2.2257)	Prec@1 42.188 (44.142)	Prec@5 75.781 (74.697)
Epoch: [35][4450/14090]	Time 0.733 (0.772)	Data 0.001 (0.002)	Loss 1.9971 (2.2256)	Prec@1 50.000 (44.148)	Prec@5 78.906 (74.699)
Epoch: [35][4460/14090]	Time 0.747 (0.772)	Data 0.001 (0.002)	Loss 2.3332 (2.2256)	Prec@1 39.844 (44.148)	Prec@5 74.219 (74.699)
Epoch: [35][4470/14090]	Time 0.782 (0.772)	Data 0.001 (0.002)	Loss 2.2815 (2.2255)	Prec@1 44.531 (44.151)	Prec@5 73.438 (74.700)
Epoch: [35][4480/14090]	Time 0.746 (0.772)	Data 0.001 (0.002)	Loss 2.2972 (2.2257)	Prec@1 41.406 (44.145)	Prec@5 71.875 (74.697)
Epoch: [35][4490/14090]	Time 0.750 (0.772)	Data 0.001 (0.002)	Loss 2.2390 (2.2256)	Prec@1 44.531 (44.146)	Prec@5 77.344 (74.700)
Epoch: [35][4500/14090]	Time 0.752 (0.772)	Data 0.001 (0.002)	Loss 2.1060 (2.2254)	Prec@1 47.656 (44.147)	Prec@5 78.125 (74.705)
Epoch: [35][4510/14090]	Time 0.912 (0.772)	Data 0.001 (0.002)	Loss 2.1339 (2.2254)	Prec@1 44.531 (44.149)	Prec@5 75.000 (74.705)
Epoch: [35][4520/14090]	Time 0.736 (0.772)	Data 0.001 (0.002)	Loss 1.9961 (2.2253)	Prec@1 50.781 (44.149)	Prec@5 77.344 (74.704)
Epoch: [35][4530/14090]	Time 0.761 (0.772)	Data 0.001 (0.002)	Loss 2.4413 (2.2255)	Prec@1 39.062 (44.144)	Prec@5 72.656 (74.701)
Epoch: [35][4540/14090]	Time 0.759 (0.772)	Data 0.001 (0.002)	Loss 2.2398 (2.2255)	Prec@1 40.625 (44.140)	Prec@5 78.906 (74.705)
Epoch: [35][4550/14090]	Time 0.796 (0.772)	Data 0.001 (0.002)	Loss 2.2058 (2.2256)	Prec@1 49.219 (44.138)	Prec@5 75.000 (74.705)
Epoch: [35][4560/14090]	Time 0.751 (0.772)	Data 0.001 (0.002)	Loss 2.3888 (2.2258)	Prec@1 39.844 (44.135)	Prec@5 75.000 (74.706)
Epoch: [35][4570/14090]	Time 0.742 (0.772)	Data 0.001 (0.002)	Loss 2.2215 (2.2256)	Prec@1 44.531 (44.143)	Prec@5 75.000 (74.708)
Epoch: [35][4580/14090]	Time 0.840 (0.772)	Data 0.001 (0.002)	Loss 2.2695 (2.2258)	Prec@1 44.531 (44.134)	Prec@5 77.344 (74.706)
Epoch: [35][4590/14090]	Time 0.733 (0.772)	Data 0.002 (0.002)	Loss 2.1030 (2.2257)	Prec@1 50.781 (44.138)	Prec@5 76.562 (74.712)
Epoch: [35][4600/14090]	Time 0.747 (0.772)	Data 0.001 (0.002)	Loss 2.3042 (2.2257)	Prec@1 35.938 (44.132)	Prec@5 72.656 (74.712)
Epoch: [35][4610/14090]	Time 0.763 (0.772)	Data 0.001 (0.002)	Loss 2.3227 (2.2257)	Prec@1 39.062 (44.128)	Prec@5 75.000 (74.716)
Epoch: [35][4620/14090]	Time 0.770 (0.772)	Data 0.001 (0.002)	Loss 2.4086 (2.2257)	Prec@1 40.625 (44.131)	Prec@5 69.531 (74.715)
Epoch: [35][4630/14090]	Time 0.737 (0.772)	Data 0.001 (0.002)	Loss 2.2665 (2.2256)	Prec@1 40.625 (44.134)	Prec@5 67.188 (74.712)
Epoch: [35][4640/14090]	Time 0.746 (0.772)	Data 0.001 (0.002)	Loss 2.1616 (2.2257)	Prec@1 45.312 (44.134)	Prec@5 76.562 (74.712)
Epoch: [35][4650/14090]	Time 0.851 (0.772)	Data 0.001 (0.002)	Loss 2.2472 (2.2258)	Prec@1 43.750 (44.133)	Prec@5 70.312 (74.709)
Epoch: [35][4660/14090]	Time 0.747 (0.772)	Data 0.001 (0.002)	Loss 1.9865 (2.2259)	Prec@1 46.875 (44.134)	Prec@5 78.906 (74.707)
Epoch: [35][4670/14090]	Time 0.750 (0.772)	Data 0.001 (0.002)	Loss 2.4947 (2.2260)	Prec@1 36.719 (44.126)	Prec@5 73.438 (74.707)
Epoch: [35][4680/14090]	Time 0.751 (0.772)	Data 0.004 (0.002)	Loss 2.2203 (2.2260)	Prec@1 42.188 (44.128)	Prec@5 71.094 (74.708)
Epoch: [35][4690/14090]	Time 0.731 (0.772)	Data 0.001 (0.002)	Loss 2.3144 (2.2262)	Prec@1 42.188 (44.127)	Prec@5 74.219 (74.704)
Epoch: [35][4700/14090]	Time 0.753 (0.772)	Data 0.001 (0.002)	Loss 2.2149 (2.2262)	Prec@1 42.188 (44.125)	Prec@5 75.781 (74.704)
Epoch: [35][4710/14090]	Time 0.734 (0.772)	Data 0.001 (0.002)	Loss 2.4327 (2.2262)	Prec@1 36.719 (44.124)	Prec@5 72.656 (74.702)
Epoch: [35][4720/14090]	Time 0.878 (0.772)	Data 0.001 (0.002)	Loss 2.3301 (2.2264)	Prec@1 36.719 (44.121)	Prec@5 75.000 (74.699)
Epoch: [35][4730/14090]	Time 0.734 (0.772)	Data 0.001 (0.002)	Loss 2.2579 (2.2262)	Prec@1 46.094 (44.128)	Prec@5 69.531 (74.701)
Epoch: [35][4740/14090]	Time 0.742 (0.772)	Data 0.001 (0.002)	Loss 2.1435 (2.2264)	Prec@1 47.656 (44.130)	Prec@5 78.906 (74.694)
Epoch: [35][4750/14090]	Time 0.758 (0.772)	Data 0.001 (0.002)	Loss 2.5355 (2.2264)	Prec@1 40.625 (44.127)	Prec@5 67.969 (74.693)
Epoch: [35][4760/14090]	Time 0.742 (0.772)	Data 0.001 (0.002)	Loss 2.1028 (2.2263)	Prec@1 42.969 (44.127)	Prec@5 78.906 (74.692)
Epoch: [35][4770/14090]	Time 0.726 (0.772)	Data 0.001 (0.002)	Loss 2.5061 (2.2264)	Prec@1 39.844 (44.126)	Prec@5 67.188 (74.691)
Epoch: [35][4780/14090]	Time 0.779 (0.772)	Data 0.001 (0.002)	Loss 2.4692 (2.2264)	Prec@1 38.281 (44.123)	Prec@5 68.750 (74.693)
Epoch: [35][4790/14090]	Time 0.866 (0.772)	Data 0.001 (0.002)	Loss 2.0754 (2.2265)	Prec@1 46.875 (44.121)	Prec@5 75.000 (74.692)
Epoch: [35][4800/14090]	Time 0.774 (0.772)	Data 0.001 (0.002)	Loss 2.1801 (2.2265)	Prec@1 43.750 (44.119)	Prec@5 71.094 (74.694)
Epoch: [35][4810/14090]	Time 0.748 (0.772)	Data 0.001 (0.002)	Loss 2.3169 (2.2266)	Prec@1 42.188 (44.119)	Prec@5 71.875 (74.695)
Epoch: [35][4820/14090]	Time 0.742 (0.772)	Data 0.001 (0.002)	Loss 2.3754 (2.2269)	Prec@1 41.406 (44.115)	Prec@5 70.312 (74.691)
Epoch: [35][4830/14090]	Time 0.741 (0.772)	Data 0.001 (0.002)	Loss 2.1894 (2.2270)	Prec@1 46.875 (44.114)	Prec@5 74.219 (74.691)
Epoch: [35][4840/14090]	Time 0.777 (0.772)	Data 0.001 (0.002)	Loss 2.0327 (2.2270)	Prec@1 42.969 (44.111)	Prec@5 76.562 (74.692)
Epoch: [35][4850/14090]	Time 0.754 (0.772)	Data 0.001 (0.002)	Loss 1.9861 (2.2268)	Prec@1 46.875 (44.115)	Prec@5 80.469 (74.696)
Epoch: [35][4860/14090]	Time 1.005 (0.772)	Data 0.001 (0.002)	Loss 2.2334 (2.2267)	Prec@1 44.531 (44.118)	Prec@5 77.344 (74.698)
Epoch: [35][4870/14090]	Time 0.755 (0.772)	Data 0.001 (0.002)	Loss 2.4341 (2.2268)	Prec@1 35.938 (44.117)	Prec@5 71.875 (74.697)
Epoch: [35][4880/14090]	Time 0.762 (0.772)	Data 0.001 (0.002)	Loss 2.3736 (2.2270)	Prec@1 35.938 (44.115)	Prec@5 71.094 (74.693)
Epoch: [35][4890/14090]	Time 0.744 (0.772)	Data 0.001 (0.002)	Loss 2.1198 (2.2269)	Prec@1 52.344 (44.116)	Prec@5 75.000 (74.694)
Epoch: [35][4900/14090]	Time 0.768 (0.772)	Data 0.001 (0.002)	Loss 2.0482 (2.2267)	Prec@1 46.875 (44.120)	Prec@5 74.219 (74.697)
Epoch: [35][4910/14090]	Time 0.736 (0.772)	Data 0.001 (0.002)	Loss 2.3135 (2.2268)	Prec@1 44.531 (44.119)	Prec@5 73.438 (74.693)
Epoch: [35][4920/14090]	Time 0.725 (0.772)	Data 0.001 (0.002)	Loss 2.1788 (2.2268)	Prec@1 46.094 (44.121)	Prec@5 75.000 (74.689)
Epoch: [35][4930/14090]	Time 0.883 (0.772)	Data 0.001 (0.002)	Loss 2.1175 (2.2269)	Prec@1 42.969 (44.120)	Prec@5 76.562 (74.689)
Epoch: [35][4940/14090]	Time 0.739 (0.772)	Data 0.001 (0.002)	Loss 2.6233 (2.2269)	Prec@1 39.062 (44.117)	Prec@5 66.406 (74.687)
Epoch: [35][4950/14090]	Time 0.765 (0.772)	Data 0.001 (0.002)	Loss 2.4943 (2.2270)	Prec@1 36.719 (44.116)	Prec@5 67.969 (74.684)
Epoch: [35][4960/14090]	Time 0.757 (0.772)	Data 0.001 (0.002)	Loss 2.1498 (2.2269)	Prec@1 45.312 (44.117)	Prec@5 74.219 (74.683)
Epoch: [35][4970/14090]	Time 0.760 (0.772)	Data 0.001 (0.002)	Loss 2.2211 (2.2270)	Prec@1 44.531 (44.113)	Prec@5 73.438 (74.677)
Epoch: [35][4980/14090]	Time 0.773 (0.772)	Data 0.001 (0.002)	Loss 2.2741 (2.2270)	Prec@1 42.188 (44.115)	Prec@5 74.219 (74.675)
Epoch: [35][4990/14090]	Time 0.729 (0.772)	Data 0.001 (0.002)	Loss 2.4021 (2.2271)	Prec@1 39.844 (44.109)	Prec@5 69.531 (74.672)
Epoch: [35][5000/14090]	Time 0.893 (0.772)	Data 0.001 (0.002)	Loss 2.3829 (2.2271)	Prec@1 50.000 (44.111)	Prec@5 72.656 (74.671)
Epoch: [35][5010/14090]	Time 0.735 (0.772)	Data 0.001 (0.002)	Loss 2.3689 (2.2271)	Prec@1 42.188 (44.109)	Prec@5 74.219 (74.672)
Epoch: [35][5020/14090]	Time 0.753 (0.772)	Data 0.001 (0.002)	Loss 2.1601 (2.2271)	Prec@1 50.000 (44.110)	Prec@5 76.562 (74.671)
Epoch: [35][5030/14090]	Time 0.786 (0.772)	Data 0.001 (0.002)	Loss 2.3965 (2.2272)	Prec@1 40.625 (44.109)	Prec@5 71.875 (74.670)
Epoch: [35][5040/14090]	Time 0.734 (0.772)	Data 0.001 (0.002)	Loss 2.1514 (2.2273)	Prec@1 35.938 (44.104)	Prec@5 79.688 (74.668)
Epoch: [35][5050/14090]	Time 0.736 (0.772)	Data 0.001 (0.002)	Loss 2.3561 (2.2273)	Prec@1 40.625 (44.106)	Prec@5 71.094 (74.667)
Epoch: [35][5060/14090]	Time 0.778 (0.772)	Data 0.001 (0.002)	Loss 2.4010 (2.2273)	Prec@1 40.625 (44.103)	Prec@5 70.312 (74.664)
Epoch: [35][5070/14090]	Time 0.868 (0.772)	Data 0.001 (0.002)	Loss 2.0268 (2.2275)	Prec@1 46.875 (44.101)	Prec@5 79.688 (74.662)
Epoch: [35][5080/14090]	Time 0.734 (0.772)	Data 0.001 (0.002)	Loss 2.1197 (2.2273)	Prec@1 46.094 (44.105)	Prec@5 78.125 (74.666)
Epoch: [35][5090/14090]	Time 0.761 (0.772)	Data 0.001 (0.002)	Loss 2.1000 (2.2273)	Prec@1 49.219 (44.104)	Prec@5 78.125 (74.667)
Epoch: [35][5100/14090]	Time 0.768 (0.772)	Data 0.001 (0.002)	Loss 2.2772 (2.2273)	Prec@1 44.531 (44.108)	Prec@5 75.000 (74.667)
Epoch: [35][5110/14090]	Time 0.773 (0.772)	Data 0.001 (0.002)	Loss 2.0699 (2.2273)	Prec@1 47.656 (44.111)	Prec@5 75.000 (74.665)
Epoch: [35][5120/14090]	Time 0.772 (0.772)	Data 0.001 (0.002)	Loss 2.2475 (2.2274)	Prec@1 40.625 (44.110)	Prec@5 78.906 (74.665)
Epoch: [35][5130/14090]	Time 0.736 (0.772)	Data 0.001 (0.002)	Loss 2.2820 (2.2275)	Prec@1 39.844 (44.108)	Prec@5 72.656 (74.665)
Epoch: [35][5140/14090]	Time 0.890 (0.772)	Data 0.001 (0.002)	Loss 2.3618 (2.2275)	Prec@1 46.094 (44.106)	Prec@5 73.438 (74.662)
Epoch: [35][5150/14090]	Time 0.757 (0.772)	Data 0.002 (0.002)	Loss 2.1308 (2.2275)	Prec@1 46.094 (44.105)	Prec@5 75.781 (74.661)
Epoch: [35][5160/14090]	Time 0.726 (0.772)	Data 0.001 (0.002)	Loss 2.1646 (2.2276)	Prec@1 40.625 (44.101)	Prec@5 77.344 (74.659)
Epoch: [35][5170/14090]	Time 0.729 (0.772)	Data 0.001 (0.002)	Loss 2.1451 (2.2276)	Prec@1 42.969 (44.102)	Prec@5 77.344 (74.657)
Epoch: [35][5180/14090]	Time 0.748 (0.772)	Data 0.001 (0.002)	Loss 2.1176 (2.2275)	Prec@1 53.125 (44.107)	Prec@5 75.781 (74.661)
Epoch: [35][5190/14090]	Time 0.764 (0.772)	Data 0.001 (0.002)	Loss 2.4434 (2.2276)	Prec@1 37.500 (44.104)	Prec@5 70.312 (74.658)
Epoch: [35][5200/14090]	Time 0.755 (0.772)	Data 0.002 (0.002)	Loss 2.3445 (2.2276)	Prec@1 42.969 (44.109)	Prec@5 73.438 (74.660)
Epoch: [35][5210/14090]	Time 0.868 (0.772)	Data 0.001 (0.002)	Loss 2.5258 (2.2276)	Prec@1 35.938 (44.107)	Prec@5 72.656 (74.659)
Epoch: [35][5220/14090]	Time 0.732 (0.772)	Data 0.001 (0.002)	Loss 2.1698 (2.2276)	Prec@1 45.312 (44.108)	Prec@5 71.875 (74.660)
Epoch: [35][5230/14090]	Time 0.761 (0.772)	Data 0.001 (0.002)	Loss 2.4377 (2.2279)	Prec@1 43.750 (44.105)	Prec@5 70.312 (74.655)
Epoch: [35][5240/14090]	Time 0.736 (0.772)	Data 0.001 (0.002)	Loss 2.2175 (2.2280)	Prec@1 39.844 (44.103)	Prec@5 75.781 (74.654)
Epoch: [35][5250/14090]	Time 0.748 (0.772)	Data 0.002 (0.002)	Loss 2.0535 (2.2278)	Prec@1 42.969 (44.105)	Prec@5 76.562 (74.656)
Epoch: [35][5260/14090]	Time 0.758 (0.772)	Data 0.001 (0.002)	Loss 2.2709 (2.2279)	Prec@1 36.719 (44.104)	Prec@5 79.688 (74.659)
Epoch: [35][5270/14090]	Time 0.728 (0.772)	Data 0.001 (0.002)	Loss 2.0339 (2.2279)	Prec@1 49.219 (44.106)	Prec@5 75.781 (74.656)
Epoch: [35][5280/14090]	Time 0.909 (0.772)	Data 0.001 (0.002)	Loss 2.2210 (2.2279)	Prec@1 46.875 (44.105)	Prec@5 71.094 (74.652)
Epoch: [35][5290/14090]	Time 0.754 (0.772)	Data 0.001 (0.002)	Loss 2.1271 (2.2277)	Prec@1 42.969 (44.108)	Prec@5 74.219 (74.655)
Epoch: [35][5300/14090]	Time 0.754 (0.772)	Data 0.001 (0.002)	Loss 2.4337 (2.2278)	Prec@1 41.406 (44.108)	Prec@5 71.094 (74.655)
Epoch: [35][5310/14090]	Time 0.784 (0.772)	Data 0.001 (0.002)	Loss 2.2658 (2.2279)	Prec@1 46.875 (44.108)	Prec@5 73.438 (74.655)
Epoch: [35][5320/14090]	Time 0.748 (0.772)	Data 0.001 (0.002)	Loss 2.0932 (2.2280)	Prec@1 45.312 (44.108)	Prec@5 79.688 (74.652)
Epoch: [35][5330/14090]	Time 0.757 (0.772)	Data 0.001 (0.002)	Loss 2.1144 (2.2278)	Prec@1 44.531 (44.109)	Prec@5 78.125 (74.655)
Epoch: [35][5340/14090]	Time 0.741 (0.772)	Data 0.001 (0.002)	Loss 2.2466 (2.2277)	Prec@1 42.969 (44.112)	Prec@5 73.438 (74.657)
Epoch: [35][5350/14090]	Time 0.871 (0.772)	Data 0.001 (0.002)	Loss 2.0744 (2.2276)	Prec@1 51.562 (44.116)	Prec@5 76.562 (74.657)
Epoch: [35][5360/14090]	Time 0.753 (0.772)	Data 0.001 (0.002)	Loss 1.9999 (2.2275)	Prec@1 50.781 (44.118)	Prec@5 78.125 (74.660)
Epoch: [35][5370/14090]	Time 0.734 (0.772)	Data 0.001 (0.002)	Loss 2.1934 (2.2275)	Prec@1 39.062 (44.117)	Prec@5 74.219 (74.661)
Epoch: [35][5380/14090]	Time 0.768 (0.772)	Data 0.001 (0.002)	Loss 2.1129 (2.2276)	Prec@1 46.875 (44.115)	Prec@5 77.344 (74.659)
Epoch: [35][5390/14090]	Time 0.751 (0.772)	Data 0.001 (0.002)	Loss 2.4138 (2.2275)	Prec@1 43.750 (44.116)	Prec@5 68.750 (74.660)
Epoch: [35][5400/14090]	Time 0.730 (0.772)	Data 0.001 (0.002)	Loss 2.1785 (2.2275)	Prec@1 49.219 (44.116)	Prec@5 72.656 (74.661)
Epoch: [35][5410/14090]	Time 0.722 (0.772)	Data 0.001 (0.002)	Loss 2.3715 (2.2276)	Prec@1 38.281 (44.112)	Prec@5 74.219 (74.658)
Epoch: [35][5420/14090]	Time 0.894 (0.772)	Data 0.001 (0.002)	Loss 2.3444 (2.2276)	Prec@1 36.719 (44.114)	Prec@5 73.438 (74.660)
Epoch: [35][5430/14090]	Time 0.768 (0.772)	Data 0.001 (0.002)	Loss 2.1043 (2.2276)	Prec@1 44.531 (44.114)	Prec@5 76.562 (74.661)
Epoch: [35][5440/14090]	Time 0.739 (0.772)	Data 0.001 (0.002)	Loss 2.3311 (2.2274)	Prec@1 42.188 (44.116)	Prec@5 78.906 (74.666)
Epoch: [35][5450/14090]	Time 0.779 (0.772)	Data 0.001 (0.002)	Loss 2.1528 (2.2275)	Prec@1 47.656 (44.116)	Prec@5 78.125 (74.665)
Epoch: [35][5460/14090]	Time 0.753 (0.772)	Data 0.001 (0.002)	Loss 2.2283 (2.2277)	Prec@1 49.219 (44.113)	Prec@5 75.000 (74.661)
Epoch: [35][5470/14090]	Time 0.788 (0.772)	Data 0.001 (0.002)	Loss 2.1006 (2.2277)	Prec@1 51.562 (44.112)	Prec@5 76.562 (74.658)
Epoch: [35][5480/14090]	Time 0.747 (0.772)	Data 0.001 (0.002)	Loss 2.2496 (2.2276)	Prec@1 45.312 (44.115)	Prec@5 77.344 (74.660)
Epoch: [35][5490/14090]	Time 0.883 (0.772)	Data 0.001 (0.002)	Loss 2.2128 (2.2275)	Prec@1 45.312 (44.119)	Prec@5 78.125 (74.661)
Epoch: [35][5500/14090]	Time 0.763 (0.772)	Data 0.001 (0.002)	Loss 2.3628 (2.2274)	Prec@1 35.938 (44.120)	Prec@5 68.750 (74.663)
Epoch: [35][5510/14090]	Time 0.742 (0.772)	Data 0.001 (0.002)	Loss 2.0448 (2.2273)	Prec@1 48.438 (44.124)	Prec@5 75.781 (74.664)
Epoch: [35][5520/14090]	Time 0.737 (0.772)	Data 0.001 (0.002)	Loss 2.1419 (2.2273)	Prec@1 50.000 (44.123)	Prec@5 75.781 (74.663)
Epoch: [35][5530/14090]	Time 0.767 (0.772)	Data 0.001 (0.002)	Loss 2.2345 (2.2274)	Prec@1 42.969 (44.117)	Prec@5 74.219 (74.664)
Epoch: [35][5540/14090]	Time 0.734 (0.772)	Data 0.001 (0.002)	Loss 2.1133 (2.2274)	Prec@1 46.875 (44.119)	Prec@5 78.125 (74.665)
Epoch: [35][5550/14090]	Time 0.747 (0.772)	Data 0.001 (0.002)	Loss 2.1843 (2.2273)	Prec@1 41.406 (44.120)	Prec@5 75.781 (74.668)
Epoch: [35][5560/14090]	Time 0.896 (0.772)	Data 0.005 (0.002)	Loss 2.1735 (2.2273)	Prec@1 45.312 (44.116)	Prec@5 75.781 (74.667)
Epoch: [35][5570/14090]	Time 0.733 (0.772)	Data 0.001 (0.002)	Loss 2.1010 (2.2274)	Prec@1 47.656 (44.113)	Prec@5 75.000 (74.668)
Epoch: [35][5580/14090]	Time 0.769 (0.772)	Data 0.001 (0.002)	Loss 2.1055 (2.2274)	Prec@1 40.625 (44.110)	Prec@5 76.562 (74.668)
Epoch: [35][5590/14090]	Time 0.773 (0.772)	Data 0.001 (0.002)	Loss 2.4311 (2.2274)	Prec@1 39.844 (44.108)	Prec@5 74.219 (74.672)
Epoch: [35][5600/14090]	Time 0.740 (0.772)	Data 0.001 (0.002)	Loss 1.7265 (2.2276)	Prec@1 54.688 (44.106)	Prec@5 83.594 (74.667)
Epoch: [35][5610/14090]	Time 0.760 (0.772)	Data 0.001 (0.002)	Loss 2.3672 (2.2274)	Prec@1 42.969 (44.112)	Prec@5 73.438 (74.669)
Epoch: [35][5620/14090]	Time 0.752 (0.772)	Data 0.001 (0.002)	Loss 2.2620 (2.2274)	Prec@1 37.500 (44.111)	Prec@5 78.125 (74.670)
Epoch: [35][5630/14090]	Time 0.931 (0.772)	Data 0.001 (0.002)	Loss 2.1847 (2.2275)	Prec@1 39.844 (44.108)	Prec@5 80.469 (74.669)
Epoch: [35][5640/14090]	Time 0.758 (0.772)	Data 0.001 (0.002)	Loss 2.3403 (2.2275)	Prec@1 42.188 (44.109)	Prec@5 76.562 (74.669)
Epoch: [35][5650/14090]	Time 0.762 (0.772)	Data 0.001 (0.002)	Loss 2.1182 (2.2274)	Prec@1 46.875 (44.109)	Prec@5 75.781 (74.669)
Epoch: [35][5660/14090]	Time 0.741 (0.772)	Data 0.001 (0.002)	Loss 2.3903 (2.2273)	Prec@1 39.844 (44.109)	Prec@5 71.875 (74.671)
Epoch: [35][5670/14090]	Time 0.764 (0.772)	Data 0.001 (0.002)	Loss 2.2271 (2.2274)	Prec@1 44.531 (44.107)	Prec@5 76.562 (74.667)
Epoch: [35][5680/14090]	Time 0.759 (0.772)	Data 0.001 (0.002)	Loss 2.1118 (2.2276)	Prec@1 43.750 (44.102)	Prec@5 78.125 (74.663)
Epoch: [35][5690/14090]	Time 0.756 (0.772)	Data 0.001 (0.002)	Loss 1.9490 (2.2275)	Prec@1 50.781 (44.102)	Prec@5 78.125 (74.663)
Epoch: [35][5700/14090]	Time 0.895 (0.772)	Data 0.001 (0.002)	Loss 2.3486 (2.2275)	Prec@1 36.719 (44.101)	Prec@5 68.750 (74.662)
Epoch: [35][5710/14090]	Time 0.787 (0.772)	Data 0.001 (0.002)	Loss 2.0678 (2.2275)	Prec@1 46.094 (44.101)	Prec@5 78.906 (74.662)
Epoch: [35][5720/14090]	Time 0.735 (0.772)	Data 0.001 (0.002)	Loss 2.2136 (2.2274)	Prec@1 44.531 (44.105)	Prec@5 76.562 (74.666)
Epoch: [35][5730/14090]	Time 0.740 (0.772)	Data 0.001 (0.002)	Loss 2.1513 (2.2275)	Prec@1 46.875 (44.103)	Prec@5 77.344 (74.665)
Epoch: [35][5740/14090]	Time 0.779 (0.772)	Data 0.001 (0.002)	Loss 2.2351 (2.2276)	Prec@1 46.875 (44.102)	Prec@5 74.219 (74.663)
Epoch: [35][5750/14090]	Time 0.752 (0.772)	Data 0.001 (0.002)	Loss 2.3345 (2.2275)	Prec@1 45.312 (44.106)	Prec@5 71.094 (74.664)
Epoch: [35][5760/14090]	Time 0.784 (0.772)	Data 0.001 (0.002)	Loss 2.1100 (2.2275)	Prec@1 50.000 (44.109)	Prec@5 73.438 (74.663)
Epoch: [35][5770/14090]	Time 0.859 (0.772)	Data 0.001 (0.002)	Loss 2.5407 (2.2277)	Prec@1 39.062 (44.105)	Prec@5 67.969 (74.661)
Epoch: [35][5780/14090]	Time 0.757 (0.772)	Data 0.001 (0.002)	Loss 2.0504 (2.2276)	Prec@1 44.531 (44.104)	Prec@5 79.688 (74.660)
Epoch: [35][5790/14090]	Time 0.730 (0.772)	Data 0.001 (0.002)	Loss 2.3551 (2.2276)	Prec@1 44.531 (44.105)	Prec@5 74.219 (74.661)
Epoch: [35][5800/14090]	Time 0.778 (0.772)	Data 0.001 (0.002)	Loss 2.3366 (2.2277)	Prec@1 42.188 (44.103)	Prec@5 71.875 (74.658)
Epoch: [35][5810/14090]	Time 0.745 (0.772)	Data 0.001 (0.002)	Loss 2.4628 (2.2279)	Prec@1 39.062 (44.101)	Prec@5 67.969 (74.654)
Epoch: [35][5820/14090]	Time 0.762 (0.772)	Data 0.001 (0.002)	Loss 2.0354 (2.2279)	Prec@1 49.219 (44.101)	Prec@5 78.125 (74.654)
Epoch: [35][5830/14090]	Time 0.757 (0.772)	Data 0.001 (0.002)	Loss 2.3383 (2.2279)	Prec@1 45.312 (44.099)	Prec@5 72.656 (74.652)
Epoch: [35][5840/14090]	Time 0.906 (0.772)	Data 0.001 (0.002)	Loss 2.2585 (2.2280)	Prec@1 41.406 (44.097)	Prec@5 73.438 (74.651)
Epoch: [35][5850/14090]	Time 0.745 (0.772)	Data 0.001 (0.002)	Loss 2.4488 (2.2280)	Prec@1 41.406 (44.099)	Prec@5 71.094 (74.652)
Epoch: [35][5860/14090]	Time 0.765 (0.772)	Data 0.001 (0.002)	Loss 2.2818 (2.2280)	Prec@1 38.281 (44.096)	Prec@5 76.562 (74.652)
Epoch: [35][5870/14090]	Time 0.769 (0.772)	Data 0.001 (0.002)	Loss 2.0483 (2.2280)	Prec@1 46.875 (44.099)	Prec@5 74.219 (74.654)
Epoch: [35][5880/14090]	Time 0.755 (0.772)	Data 0.001 (0.002)	Loss 2.2725 (2.2279)	Prec@1 43.750 (44.100)	Prec@5 71.875 (74.655)
Epoch: [35][5890/14090]	Time 0.749 (0.772)	Data 0.001 (0.002)	Loss 2.5427 (2.2281)	Prec@1 40.625 (44.098)	Prec@5 71.094 (74.653)
Epoch: [35][5900/14090]	Time 0.755 (0.772)	Data 0.001 (0.002)	Loss 2.2629 (2.2281)	Prec@1 43.750 (44.097)	Prec@5 75.781 (74.650)
Epoch: [35][5910/14090]	Time 0.877 (0.772)	Data 0.001 (0.002)	Loss 2.6499 (2.2282)	Prec@1 33.594 (44.095)	Prec@5 62.500 (74.647)
Epoch: [35][5920/14090]	Time 0.775 (0.772)	Data 0.001 (0.002)	Loss 2.4484 (2.2282)	Prec@1 41.406 (44.096)	Prec@5 72.656 (74.647)
Epoch: [35][5930/14090]	Time 0.720 (0.772)	Data 0.001 (0.002)	Loss 2.3584 (2.2281)	Prec@1 35.156 (44.096)	Prec@5 73.438 (74.648)
Epoch: [35][5940/14090]	Time 0.721 (0.772)	Data 0.001 (0.002)	Loss 1.8202 (2.2281)	Prec@1 51.562 (44.095)	Prec@5 85.938 (74.650)
Epoch: [35][5950/14090]	Time 0.751 (0.772)	Data 0.001 (0.002)	Loss 2.0065 (2.2279)	Prec@1 46.094 (44.099)	Prec@5 78.125 (74.653)
Epoch: [35][5960/14090]	Time 0.743 (0.772)	Data 0.001 (0.002)	Loss 2.0098 (2.2280)	Prec@1 45.312 (44.099)	Prec@5 79.688 (74.651)
Epoch: [35][5970/14090]	Time 0.740 (0.772)	Data 0.001 (0.002)	Loss 2.2354 (2.2280)	Prec@1 46.094 (44.099)	Prec@5 73.438 (74.649)
Epoch: [35][5980/14090]	Time 0.887 (0.772)	Data 0.001 (0.002)	Loss 2.6756 (2.2281)	Prec@1 34.375 (44.099)	Prec@5 68.750 (74.647)
Epoch: [35][5990/14090]	Time 0.749 (0.772)	Data 0.001 (0.002)	Loss 2.2036 (2.2280)	Prec@1 39.062 (44.102)	Prec@5 78.906 (74.652)
Epoch: [35][6000/14090]	Time 0.757 (0.772)	Data 0.001 (0.002)	Loss 2.4354 (2.2281)	Prec@1 46.094 (44.103)	Prec@5 73.438 (74.650)
Epoch: [35][6010/14090]	Time 0.774 (0.772)	Data 0.001 (0.002)	Loss 2.2380 (2.2281)	Prec@1 40.625 (44.102)	Prec@5 71.875 (74.651)
Epoch: [35][6020/14090]	Time 0.735 (0.772)	Data 0.001 (0.002)	Loss 2.3127 (2.2280)	Prec@1 46.094 (44.102)	Prec@5 76.562 (74.651)
Epoch: [35][6030/14090]	Time 0.749 (0.772)	Data 0.001 (0.002)	Loss 1.8586 (2.2279)	Prec@1 50.000 (44.105)	Prec@5 81.250 (74.654)
Epoch: [35][6040/14090]	Time 0.735 (0.772)	Data 0.001 (0.002)	Loss 2.3581 (2.2278)	Prec@1 38.281 (44.105)	Prec@5 69.531 (74.657)
Epoch: [35][6050/14090]	Time 0.871 (0.772)	Data 0.001 (0.002)	Loss 2.4313 (2.2278)	Prec@1 35.156 (44.102)	Prec@5 72.656 (74.655)
Epoch: [35][6060/14090]	Time 0.752 (0.772)	Data 0.001 (0.002)	Loss 2.2506 (2.2278)	Prec@1 39.062 (44.100)	Prec@5 76.562 (74.656)
Epoch: [35][6070/14090]	Time 0.785 (0.772)	Data 0.001 (0.002)	Loss 2.0808 (2.2278)	Prec@1 43.750 (44.100)	Prec@5 76.562 (74.656)
Epoch: [35][6080/14090]	Time 0.742 (0.772)	Data 0.001 (0.002)	Loss 2.4674 (2.2279)	Prec@1 40.625 (44.099)	Prec@5 68.750 (74.655)
Epoch: [35][6090/14090]	Time 0.723 (0.772)	Data 0.001 (0.002)	Loss 2.6121 (2.2280)	Prec@1 36.719 (44.098)	Prec@5 71.094 (74.653)
Epoch: [35][6100/14090]	Time 0.757 (0.772)	Data 0.001 (0.002)	Loss 2.2319 (2.2281)	Prec@1 46.875 (44.097)	Prec@5 76.562 (74.654)
Epoch: [35][6110/14090]	Time 0.733 (0.772)	Data 0.001 (0.002)	Loss 2.1669 (2.2280)	Prec@1 42.188 (44.095)	Prec@5 72.656 (74.656)
Epoch: [35][6120/14090]	Time 0.856 (0.772)	Data 0.001 (0.002)	Loss 2.0134 (2.2279)	Prec@1 54.688 (44.098)	Prec@5 74.219 (74.657)
Epoch: [35][6130/14090]	Time 0.724 (0.772)	Data 0.001 (0.002)	Loss 2.1818 (2.2279)	Prec@1 45.312 (44.099)	Prec@5 72.656 (74.658)
Epoch: [35][6140/14090]	Time 0.738 (0.772)	Data 0.001 (0.002)	Loss 2.4027 (2.2280)	Prec@1 39.062 (44.096)	Prec@5 72.656 (74.658)
Epoch: [35][6150/14090]	Time 0.727 (0.772)	Data 0.001 (0.002)	Loss 2.3557 (2.2282)	Prec@1 41.406 (44.094)	Prec@5 74.219 (74.654)
Epoch: [35][6160/14090]	Time 0.788 (0.772)	Data 0.001 (0.002)	Loss 2.2380 (2.2283)	Prec@1 41.406 (44.091)	Prec@5 77.344 (74.651)
Epoch: [35][6170/14090]	Time 0.746 (0.772)	Data 0.001 (0.002)	Loss 2.5133 (2.2283)	Prec@1 33.594 (44.092)	Prec@5 71.094 (74.653)
Epoch: [35][6180/14090]	Time 0.727 (0.772)	Data 0.001 (0.002)	Loss 2.5327 (2.2283)	Prec@1 39.062 (44.089)	Prec@5 69.531 (74.652)
Epoch: [35][6190/14090]	Time 0.944 (0.772)	Data 0.001 (0.002)	Loss 2.3089 (2.2284)	Prec@1 46.094 (44.085)	Prec@5 75.000 (74.649)
Epoch: [35][6200/14090]	Time 0.723 (0.772)	Data 0.001 (0.002)	Loss 2.0981 (2.2283)	Prec@1 47.656 (44.086)	Prec@5 75.000 (74.653)
Epoch: [35][6210/14090]	Time 0.735 (0.772)	Data 0.001 (0.002)	Loss 1.9530 (2.2284)	Prec@1 50.000 (44.084)	Prec@5 77.344 (74.651)
Epoch: [35][6220/14090]	Time 0.722 (0.772)	Data 0.001 (0.002)	Loss 2.1308 (2.2283)	Prec@1 50.000 (44.085)	Prec@5 81.250 (74.653)
Epoch: [35][6230/14090]	Time 0.778 (0.772)	Data 0.001 (0.002)	Loss 1.9307 (2.2283)	Prec@1 43.750 (44.083)	Prec@5 83.594 (74.654)
Epoch: [35][6240/14090]	Time 0.754 (0.772)	Data 0.001 (0.002)	Loss 2.4435 (2.2284)	Prec@1 40.625 (44.080)	Prec@5 65.625 (74.652)
Epoch: [35][6250/14090]	Time 0.728 (0.772)	Data 0.001 (0.002)	Loss 2.4731 (2.2284)	Prec@1 32.031 (44.080)	Prec@5 73.438 (74.653)
Epoch: [35][6260/14090]	Time 0.861 (0.772)	Data 0.001 (0.002)	Loss 2.1495 (2.2283)	Prec@1 45.312 (44.082)	Prec@5 77.344 (74.657)
Epoch: [35][6270/14090]	Time 0.760 (0.772)	Data 0.001 (0.002)	Loss 2.5154 (2.2284)	Prec@1 35.938 (44.080)	Prec@5 71.875 (74.655)
Epoch: [35][6280/14090]	Time 0.774 (0.772)	Data 0.001 (0.002)	Loss 2.1077 (2.2283)	Prec@1 48.438 (44.082)	Prec@5 76.562 (74.654)
Epoch: [35][6290/14090]	Time 0.783 (0.772)	Data 0.001 (0.002)	Loss 2.3335 (2.2283)	Prec@1 41.406 (44.079)	Prec@5 75.781 (74.654)
Epoch: [35][6300/14090]	Time 0.722 (0.772)	Data 0.001 (0.002)	Loss 2.3805 (2.2282)	Prec@1 39.844 (44.082)	Prec@5 71.094 (74.659)
Epoch: [35][6310/14090]	Time 0.760 (0.772)	Data 0.001 (0.002)	Loss 2.2823 (2.2283)	Prec@1 42.969 (44.082)	Prec@5 74.219 (74.657)
Epoch: [35][6320/14090]	Time 0.733 (0.772)	Data 0.001 (0.002)	Loss 2.2533 (2.2281)	Prec@1 45.312 (44.087)	Prec@5 76.562 (74.661)
Epoch: [35][6330/14090]	Time 0.854 (0.772)	Data 0.001 (0.002)	Loss 2.2022 (2.2281)	Prec@1 44.531 (44.085)	Prec@5 76.562 (74.662)
Epoch: [35][6340/14090]	Time 0.736 (0.772)	Data 0.001 (0.002)	Loss 2.3812 (2.2281)	Prec@1 35.156 (44.083)	Prec@5 74.219 (74.663)
Epoch: [35][6350/14090]	Time 0.751 (0.772)	Data 0.001 (0.002)	Loss 2.0587 (2.2283)	Prec@1 50.781 (44.081)	Prec@5 73.438 (74.658)
Epoch: [35][6360/14090]	Time 0.772 (0.772)	Data 0.001 (0.002)	Loss 2.1522 (2.2282)	Prec@1 47.656 (44.082)	Prec@5 75.000 (74.660)
Epoch: [35][6370/14090]	Time 0.729 (0.772)	Data 0.001 (0.002)	Loss 1.9518 (2.2281)	Prec@1 46.875 (44.086)	Prec@5 82.812 (74.663)
Epoch: [35][6380/14090]	Time 0.741 (0.772)	Data 0.001 (0.002)	Loss 2.2908 (2.2283)	Prec@1 36.719 (44.082)	Prec@5 71.094 (74.660)
Epoch: [35][6390/14090]	Time 0.747 (0.772)	Data 0.001 (0.002)	Loss 2.1322 (2.2283)	Prec@1 50.781 (44.084)	Prec@5 80.469 (74.662)
Epoch: [35][6400/14090]	Time 0.892 (0.772)	Data 0.001 (0.002)	Loss 2.3002 (2.2285)	Prec@1 41.406 (44.081)	Prec@5 73.438 (74.658)
Epoch: [35][6410/14090]	Time 0.739 (0.772)	Data 0.001 (0.002)	Loss 2.4470 (2.2286)	Prec@1 36.719 (44.079)	Prec@5 67.188 (74.655)
Epoch: [35][6420/14090]	Time 0.769 (0.772)	Data 0.001 (0.002)	Loss 2.1409 (2.2286)	Prec@1 49.219 (44.080)	Prec@5 75.781 (74.656)
Epoch: [35][6430/14090]	Time 0.748 (0.772)	Data 0.001 (0.002)	Loss 2.1770 (2.2285)	Prec@1 46.094 (44.080)	Prec@5 75.000 (74.656)
Epoch: [35][6440/14090]	Time 0.776 (0.772)	Data 0.001 (0.002)	Loss 2.3087 (2.2286)	Prec@1 35.938 (44.079)	Prec@5 80.469 (74.657)
Epoch: [35][6450/14090]	Time 0.742 (0.772)	Data 0.001 (0.002)	Loss 2.1625 (2.2285)	Prec@1 40.625 (44.079)	Prec@5 75.000 (74.656)
Epoch: [35][6460/14090]	Time 0.735 (0.772)	Data 0.001 (0.002)	Loss 1.9843 (2.2285)	Prec@1 44.531 (44.078)	Prec@5 79.688 (74.656)
Epoch: [35][6470/14090]	Time 0.917 (0.772)	Data 0.001 (0.002)	Loss 2.1357 (2.2284)	Prec@1 50.781 (44.079)	Prec@5 75.000 (74.658)
Epoch: [35][6480/14090]	Time 0.754 (0.772)	Data 0.001 (0.002)	Loss 1.9539 (2.2283)	Prec@1 45.312 (44.080)	Prec@5 84.375 (74.659)
Epoch: [35][6490/14090]	Time 0.742 (0.772)	Data 0.001 (0.002)	Loss 2.3819 (2.2284)	Prec@1 39.844 (44.081)	Prec@5 72.656 (74.659)
Epoch: [35][6500/14090]	Time 0.768 (0.772)	Data 0.001 (0.002)	Loss 2.3233 (2.2286)	Prec@1 43.750 (44.076)	Prec@5 76.562 (74.656)
Epoch: [35][6510/14090]	Time 0.754 (0.772)	Data 0.001 (0.002)	Loss 2.4304 (2.2285)	Prec@1 41.406 (44.076)	Prec@5 71.875 (74.659)
Epoch: [35][6520/14090]	Time 0.743 (0.772)	Data 0.001 (0.002)	Loss 1.9923 (2.2284)	Prec@1 45.312 (44.077)	Prec@5 80.469 (74.660)
Epoch: [35][6530/14090]	Time 0.735 (0.772)	Data 0.001 (0.002)	Loss 2.1967 (2.2285)	Prec@1 40.625 (44.074)	Prec@5 79.688 (74.661)
Epoch: [35][6540/14090]	Time 0.868 (0.772)	Data 0.001 (0.002)	Loss 2.1996 (2.2284)	Prec@1 39.844 (44.075)	Prec@5 78.125 (74.662)
Epoch: [35][6550/14090]	Time 0.772 (0.772)	Data 0.001 (0.002)	Loss 2.3933 (2.2285)	Prec@1 40.625 (44.073)	Prec@5 75.781 (74.662)
Epoch: [35][6560/14090]	Time 0.779 (0.772)	Data 0.001 (0.002)	Loss 2.4430 (2.2284)	Prec@1 41.406 (44.074)	Prec@5 71.875 (74.663)
Epoch: [35][6570/14090]	Time 0.768 (0.772)	Data 0.001 (0.002)	Loss 2.1690 (2.2284)	Prec@1 42.188 (44.073)	Prec@5 75.781 (74.663)
Epoch: [35][6580/14090]	Time 0.752 (0.772)	Data 0.001 (0.002)	Loss 2.2775 (2.2283)	Prec@1 42.969 (44.075)	Prec@5 75.000 (74.664)
Epoch: [35][6590/14090]	Time 0.751 (0.772)	Data 0.001 (0.002)	Loss 2.1550 (2.2283)	Prec@1 40.625 (44.073)	Prec@5 75.000 (74.664)
Epoch: [35][6600/14090]	Time 0.743 (0.772)	Data 0.001 (0.002)	Loss 2.2022 (2.2283)	Prec@1 46.875 (44.076)	Prec@5 73.438 (74.664)
Epoch: [35][6610/14090]	Time 0.876 (0.772)	Data 0.001 (0.002)	Loss 2.1934 (2.2284)	Prec@1 47.656 (44.074)	Prec@5 71.094 (74.662)
Epoch: [35][6620/14090]	Time 0.738 (0.772)	Data 0.001 (0.002)	Loss 2.2265 (2.2282)	Prec@1 49.219 (44.077)	Prec@5 75.000 (74.664)
Epoch: [35][6630/14090]	Time 0.752 (0.772)	Data 0.001 (0.002)	Loss 2.1071 (2.2282)	Prec@1 42.969 (44.074)	Prec@5 76.562 (74.665)
Epoch: [35][6640/14090]	Time 0.747 (0.772)	Data 0.002 (0.002)	Loss 2.2334 (2.2281)	Prec@1 42.969 (44.074)	Prec@5 75.000 (74.667)
Epoch: [35][6650/14090]	Time 0.764 (0.772)	Data 0.001 (0.002)	Loss 2.2109 (2.2281)	Prec@1 41.406 (44.076)	Prec@5 75.000 (74.667)
Epoch: [35][6660/14090]	Time 0.723 (0.772)	Data 0.001 (0.002)	Loss 2.2995 (2.2282)	Prec@1 45.312 (44.076)	Prec@5 72.656 (74.665)
Epoch: [35][6670/14090]	Time 0.743 (0.772)	Data 0.001 (0.002)	Loss 2.2704 (2.2283)	Prec@1 43.750 (44.076)	Prec@5 72.656 (74.662)
Epoch: [35][6680/14090]	Time 0.893 (0.772)	Data 0.001 (0.002)	Loss 2.4030 (2.2283)	Prec@1 39.062 (44.077)	Prec@5 71.875 (74.662)
Epoch: [35][6690/14090]	Time 0.765 (0.772)	Data 0.001 (0.002)	Loss 2.1533 (2.2284)	Prec@1 46.094 (44.077)	Prec@5 77.344 (74.663)
Epoch: [35][6700/14090]	Time 0.726 (0.772)	Data 0.001 (0.002)	Loss 1.8523 (2.2283)	Prec@1 53.125 (44.079)	Prec@5 82.812 (74.665)
Epoch: [35][6710/14090]	Time 0.739 (0.772)	Data 0.001 (0.002)	Loss 2.3559 (2.2282)	Prec@1 40.625 (44.082)	Prec@5 70.312 (74.666)
Epoch: [35][6720/14090]	Time 0.762 (0.772)	Data 0.001 (0.002)	Loss 2.1169 (2.2282)	Prec@1 50.781 (44.081)	Prec@5 73.438 (74.667)
Epoch: [35][6730/14090]	Time 0.768 (0.772)	Data 0.001 (0.002)	Loss 2.3219 (2.2282)	Prec@1 41.406 (44.084)	Prec@5 74.219 (74.669)
Epoch: [35][6740/14090]	Time 0.773 (0.772)	Data 0.001 (0.002)	Loss 2.0894 (2.2282)	Prec@1 46.875 (44.086)	Prec@5 79.688 (74.670)
Epoch: [35][6750/14090]	Time 0.912 (0.772)	Data 0.001 (0.002)	Loss 2.1008 (2.2281)	Prec@1 46.094 (44.086)	Prec@5 74.219 (74.669)
Epoch: [35][6760/14090]	Time 0.773 (0.772)	Data 0.001 (0.002)	Loss 2.2708 (2.2282)	Prec@1 41.406 (44.084)	Prec@5 77.344 (74.666)
Epoch: [35][6770/14090]	Time 0.780 (0.772)	Data 0.001 (0.002)	Loss 1.9809 (2.2282)	Prec@1 48.438 (44.083)	Prec@5 79.688 (74.665)
Epoch: [35][6780/14090]	Time 0.793 (0.772)	Data 0.001 (0.002)	Loss 2.1377 (2.2282)	Prec@1 49.219 (44.084)	Prec@5 75.781 (74.663)
Epoch: [35][6790/14090]	Time 0.740 (0.772)	Data 0.001 (0.002)	Loss 2.3691 (2.2283)	Prec@1 37.500 (44.083)	Prec@5 73.438 (74.664)
Epoch: [35][6800/14090]	Time 0.757 (0.772)	Data 0.001 (0.002)	Loss 2.1375 (2.2283)	Prec@1 37.500 (44.079)	Prec@5 79.688 (74.663)
Epoch: [35][6810/14090]	Time 0.750 (0.772)	Data 0.001 (0.002)	Loss 2.2858 (2.2285)	Prec@1 37.500 (44.074)	Prec@5 74.219 (74.661)
Epoch: [35][6820/14090]	Time 0.844 (0.772)	Data 0.001 (0.002)	Loss 2.0326 (2.2285)	Prec@1 45.312 (44.073)	Prec@5 78.125 (74.660)
Epoch: [35][6830/14090]	Time 0.764 (0.772)	Data 0.001 (0.002)	Loss 2.5575 (2.2288)	Prec@1 37.500 (44.066)	Prec@5 68.750 (74.656)
Epoch: [35][6840/14090]	Time 0.757 (0.772)	Data 0.001 (0.002)	Loss 2.2201 (2.2288)	Prec@1 43.750 (44.066)	Prec@5 73.438 (74.657)
Epoch: [35][6850/14090]	Time 0.797 (0.772)	Data 0.001 (0.002)	Loss 2.1971 (2.2289)	Prec@1 48.438 (44.067)	Prec@5 76.562 (74.656)
Epoch: [35][6860/14090]	Time 0.740 (0.772)	Data 0.001 (0.002)	Loss 2.3014 (2.2288)	Prec@1 44.531 (44.068)	Prec@5 70.312 (74.657)
Epoch: [35][6870/14090]	Time 0.761 (0.772)	Data 0.001 (0.002)	Loss 2.3315 (2.2289)	Prec@1 39.062 (44.066)	Prec@5 70.312 (74.656)
Epoch: [35][6880/14090]	Time 0.729 (0.772)	Data 0.001 (0.002)	Loss 2.0641 (2.2289)	Prec@1 49.219 (44.064)	Prec@5 81.250 (74.655)
Epoch: [35][6890/14090]	Time 0.821 (0.772)	Data 0.001 (0.002)	Loss 2.5247 (2.2290)	Prec@1 37.500 (44.062)	Prec@5 67.969 (74.653)
Epoch: [35][6900/14090]	Time 0.731 (0.772)	Data 0.001 (0.002)	Loss 2.2113 (2.2291)	Prec@1 46.094 (44.063)	Prec@5 72.656 (74.649)
Epoch: [35][6910/14090]	Time 0.763 (0.772)	Data 0.001 (0.002)	Loss 2.2991 (2.2291)	Prec@1 47.656 (44.064)	Prec@5 68.750 (74.649)
Epoch: [35][6920/14090]	Time 0.741 (0.772)	Data 0.001 (0.002)	Loss 2.3054 (2.2291)	Prec@1 42.969 (44.061)	Prec@5 71.094 (74.649)
Epoch: [35][6930/14090]	Time 0.741 (0.772)	Data 0.001 (0.002)	Loss 1.8902 (2.2292)	Prec@1 50.781 (44.060)	Prec@5 78.125 (74.648)
Epoch: [35][6940/14090]	Time 0.743 (0.772)	Data 0.001 (0.002)	Loss 2.1318 (2.2291)	Prec@1 50.781 (44.064)	Prec@5 76.562 (74.648)
Epoch: [35][6950/14090]	Time 0.734 (0.772)	Data 0.001 (0.002)	Loss 1.9917 (2.2290)	Prec@1 49.219 (44.068)	Prec@5 77.344 (74.652)
Epoch: [35][6960/14090]	Time 0.903 (0.772)	Data 0.001 (0.002)	Loss 2.0240 (2.2288)	Prec@1 47.656 (44.070)	Prec@5 75.000 (74.654)
Epoch: [35][6970/14090]	Time 0.729 (0.772)	Data 0.001 (0.002)	Loss 2.4731 (2.2289)	Prec@1 36.719 (44.068)	Prec@5 75.781 (74.655)
Epoch: [35][6980/14090]	Time 0.742 (0.772)	Data 0.001 (0.002)	Loss 2.0433 (2.2289)	Prec@1 46.094 (44.067)	Prec@5 81.250 (74.658)
Epoch: [35][6990/14090]	Time 0.775 (0.772)	Data 0.001 (0.002)	Loss 2.0755 (2.2289)	Prec@1 45.312 (44.066)	Prec@5 79.688 (74.658)
Epoch: [35][7000/14090]	Time 0.766 (0.772)	Data 0.001 (0.002)	Loss 2.2653 (2.2290)	Prec@1 42.188 (44.063)	Prec@5 78.125 (74.658)
Epoch: [35][7010/14090]	Time 0.743 (0.772)	Data 0.001 (0.002)	Loss 2.0393 (2.2290)	Prec@1 47.656 (44.062)	Prec@5 75.000 (74.658)
Epoch: [35][7020/14090]	Time 0.735 (0.772)	Data 0.001 (0.002)	Loss 2.2226 (2.2290)	Prec@1 39.062 (44.061)	Prec@5 74.219 (74.659)
Epoch: [35][7030/14090]	Time 0.851 (0.772)	Data 0.001 (0.002)	Loss 2.2352 (2.2290)	Prec@1 42.969 (44.059)	Prec@5 74.219 (74.657)
Epoch: [35][7040/14090]	Time 0.760 (0.772)	Data 0.001 (0.002)	Loss 1.8090 (2.2290)	Prec@1 53.906 (44.058)	Prec@5 82.031 (74.656)
Epoch: [35][7050/14090]	Time 0.742 (0.772)	Data 0.001 (0.002)	Loss 2.1053 (2.2289)	Prec@1 39.062 (44.059)	Prec@5 79.688 (74.658)
Epoch: [35][7060/14090]	Time 0.779 (0.772)	Data 0.001 (0.002)	Loss 2.0868 (2.2290)	Prec@1 41.406 (44.057)	Prec@5 82.031 (74.658)
Epoch: [35][7070/14090]	Time 0.742 (0.771)	Data 0.001 (0.002)	Loss 2.3035 (2.2291)	Prec@1 42.188 (44.057)	Prec@5 75.781 (74.658)
Epoch: [35][7080/14090]	Time 0.750 (0.772)	Data 0.001 (0.002)	Loss 2.3192 (2.2290)	Prec@1 44.531 (44.060)	Prec@5 75.781 (74.658)
Epoch: [35][7090/14090]	Time 0.728 (0.771)	Data 0.001 (0.002)	Loss 2.0892 (2.2291)	Prec@1 45.312 (44.059)	Prec@5 75.781 (74.657)
Epoch: [35][7100/14090]	Time 0.883 (0.771)	Data 0.001 (0.002)	Loss 1.9566 (2.2290)	Prec@1 52.344 (44.063)	Prec@5 79.688 (74.660)
Epoch: [35][7110/14090]	Time 0.784 (0.771)	Data 0.001 (0.002)	Loss 1.8225 (2.2289)	Prec@1 52.344 (44.064)	Prec@5 79.688 (74.660)
Epoch: [35][7120/14090]	Time 0.743 (0.771)	Data 0.001 (0.002)	Loss 2.1373 (2.2289)	Prec@1 46.094 (44.062)	Prec@5 76.562 (74.661)
Epoch: [35][7130/14090]	Time 0.799 (0.771)	Data 0.001 (0.002)	Loss 2.2747 (2.2290)	Prec@1 35.938 (44.062)	Prec@5 74.219 (74.661)
Epoch: [35][7140/14090]	Time 0.763 (0.771)	Data 0.002 (0.002)	Loss 2.2651 (2.2290)	Prec@1 43.750 (44.063)	Prec@5 71.875 (74.660)
Epoch: [35][7150/14090]	Time 0.740 (0.771)	Data 0.001 (0.002)	Loss 2.1901 (2.2290)	Prec@1 47.656 (44.063)	Prec@5 80.469 (74.661)
Epoch: [35][7160/14090]	Time 0.748 (0.771)	Data 0.001 (0.002)	Loss 2.2495 (2.2291)	Prec@1 45.312 (44.061)	Prec@5 71.875 (74.660)
Epoch: [35][7170/14090]	Time 0.829 (0.771)	Data 0.001 (0.002)	Loss 2.3935 (2.2291)	Prec@1 42.969 (44.059)	Prec@5 75.000 (74.660)
Epoch: [35][7180/14090]	Time 0.755 (0.771)	Data 0.001 (0.002)	Loss 1.9116 (2.2290)	Prec@1 53.125 (44.059)	Prec@5 80.469 (74.660)
Epoch: [35][7190/14090]	Time 0.781 (0.771)	Data 0.001 (0.002)	Loss 2.4123 (2.2290)	Prec@1 44.531 (44.060)	Prec@5 71.875 (74.662)
Epoch: [35][7200/14090]	Time 0.743 (0.771)	Data 0.001 (0.002)	Loss 2.2453 (2.2290)	Prec@1 48.438 (44.061)	Prec@5 66.406 (74.661)
Epoch: [35][7210/14090]	Time 0.731 (0.771)	Data 0.001 (0.002)	Loss 2.2825 (2.2290)	Prec@1 42.188 (44.060)	Prec@5 75.000 (74.662)
Epoch: [35][7220/14090]	Time 0.730 (0.771)	Data 0.001 (0.002)	Loss 2.0627 (2.2290)	Prec@1 43.750 (44.060)	Prec@5 77.344 (74.664)
Epoch: [35][7230/14090]	Time 0.736 (0.771)	Data 0.001 (0.002)	Loss 1.9775 (2.2290)	Prec@1 54.688 (44.058)	Prec@5 78.906 (74.664)
Epoch: [35][7240/14090]	Time 0.885 (0.771)	Data 0.001 (0.002)	Loss 2.0734 (2.2290)	Prec@1 46.094 (44.059)	Prec@5 74.219 (74.664)
Epoch: [35][7250/14090]	Time 0.755 (0.771)	Data 0.001 (0.002)	Loss 1.9191 (2.2290)	Prec@1 50.000 (44.057)	Prec@5 82.031 (74.661)
Epoch: [35][7260/14090]	Time 0.763 (0.771)	Data 0.001 (0.002)	Loss 2.2285 (2.2289)	Prec@1 43.750 (44.059)	Prec@5 75.781 (74.665)
Epoch: [35][7270/14090]	Time 0.747 (0.771)	Data 0.001 (0.002)	Loss 2.0998 (2.2290)	Prec@1 47.656 (44.057)	Prec@5 78.906 (74.664)
Epoch: [35][7280/14090]	Time 0.753 (0.771)	Data 0.001 (0.002)	Loss 2.1880 (2.2290)	Prec@1 42.969 (44.057)	Prec@5 76.562 (74.665)
Epoch: [35][7290/14090]	Time 0.761 (0.771)	Data 0.001 (0.002)	Loss 2.3899 (2.2291)	Prec@1 42.969 (44.057)	Prec@5 76.562 (74.662)
Epoch: [35][7300/14090]	Time 0.755 (0.771)	Data 0.001 (0.002)	Loss 2.6732 (2.2291)	Prec@1 35.938 (44.057)	Prec@5 67.969 (74.661)
Epoch: [35][7310/14090]	Time 0.860 (0.771)	Data 0.001 (0.002)	Loss 2.1544 (2.2291)	Prec@1 48.438 (44.058)	Prec@5 74.219 (74.662)
Epoch: [35][7320/14090]	Time 0.731 (0.771)	Data 0.001 (0.002)	Loss 2.6788 (2.2292)	Prec@1 37.500 (44.057)	Prec@5 65.625 (74.659)
Epoch: [35][7330/14090]	Time 0.736 (0.771)	Data 0.001 (0.002)	Loss 2.2892 (2.2294)	Prec@1 47.656 (44.053)	Prec@5 78.906 (74.658)
Epoch: [35][7340/14090]	Time 0.747 (0.771)	Data 0.001 (0.002)	Loss 2.3760 (2.2293)	Prec@1 44.531 (44.054)	Prec@5 75.781 (74.659)
Epoch: [35][7350/14090]	Time 0.733 (0.771)	Data 0.001 (0.002)	Loss 2.0775 (2.2292)	Prec@1 39.062 (44.055)	Prec@5 73.438 (74.660)
Epoch: [35][7360/14090]	Time 0.743 (0.771)	Data 0.001 (0.002)	Loss 2.2925 (2.2292)	Prec@1 46.094 (44.057)	Prec@5 71.875 (74.660)
Epoch: [35][7370/14090]	Time 0.750 (0.771)	Data 0.001 (0.002)	Loss 2.0398 (2.2293)	Prec@1 50.781 (44.055)	Prec@5 71.875 (74.658)
Epoch: [35][7380/14090]	Time 0.851 (0.771)	Data 0.001 (0.002)	Loss 2.5904 (2.2295)	Prec@1 39.062 (44.052)	Prec@5 66.406 (74.655)
Epoch: [35][7390/14090]	Time 0.731 (0.771)	Data 0.001 (0.002)	Loss 2.2610 (2.2294)	Prec@1 42.188 (44.052)	Prec@5 78.125 (74.657)
Epoch: [35][7400/14090]	Time 0.782 (0.771)	Data 0.001 (0.002)	Loss 2.3536 (2.2295)	Prec@1 42.969 (44.053)	Prec@5 70.312 (74.654)
Epoch: [35][7410/14090]	Time 0.736 (0.771)	Data 0.001 (0.002)	Loss 2.1356 (2.2294)	Prec@1 46.094 (44.055)	Prec@5 78.125 (74.657)
Epoch: [35][7420/14090]	Time 0.759 (0.771)	Data 0.001 (0.002)	Loss 2.0947 (2.2295)	Prec@1 45.312 (44.054)	Prec@5 76.562 (74.657)
Epoch: [35][7430/14090]	Time 0.740 (0.771)	Data 0.001 (0.002)	Loss 2.4810 (2.2294)	Prec@1 39.844 (44.055)	Prec@5 70.312 (74.658)
Epoch: [35][7440/14090]	Time 0.757 (0.771)	Data 0.001 (0.002)	Loss 2.1923 (2.2294)	Prec@1 50.781 (44.054)	Prec@5 75.781 (74.659)
Epoch: [35][7450/14090]	Time 0.992 (0.771)	Data 0.001 (0.002)	Loss 2.2896 (2.2295)	Prec@1 42.969 (44.055)	Prec@5 72.656 (74.657)
Epoch: [35][7460/14090]	Time 0.747 (0.771)	Data 0.001 (0.002)	Loss 2.0573 (2.2294)	Prec@1 47.656 (44.057)	Prec@5 81.250 (74.659)
Epoch: [35][7470/14090]	Time 0.758 (0.771)	Data 0.001 (0.002)	Loss 2.1971 (2.2295)	Prec@1 46.875 (44.055)	Prec@5 72.656 (74.658)
Epoch: [35][7480/14090]	Time 0.759 (0.771)	Data 0.001 (0.002)	Loss 2.3250 (2.2296)	Prec@1 46.094 (44.052)	Prec@5 72.656 (74.656)
Epoch: [35][7490/14090]	Time 0.753 (0.771)	Data 0.001 (0.002)	Loss 2.1937 (2.2296)	Prec@1 39.062 (44.050)	Prec@5 77.344 (74.656)
Epoch: [35][7500/14090]	Time 0.726 (0.771)	Data 0.001 (0.002)	Loss 2.1302 (2.2296)	Prec@1 46.094 (44.046)	Prec@5 74.219 (74.656)
Epoch: [35][7510/14090]	Time 0.758 (0.771)	Data 0.001 (0.002)	Loss 2.3190 (2.2296)	Prec@1 42.969 (44.045)	Prec@5 76.562 (74.656)
Epoch: [35][7520/14090]	Time 0.910 (0.771)	Data 0.001 (0.002)	Loss 2.1100 (2.2297)	Prec@1 46.094 (44.046)	Prec@5 78.125 (74.653)
Epoch: [35][7530/14090]	Time 0.734 (0.771)	Data 0.001 (0.002)	Loss 2.0360 (2.2297)	Prec@1 45.312 (44.043)	Prec@5 75.000 (74.653)
Epoch: [35][7540/14090]	Time 0.735 (0.771)	Data 0.001 (0.002)	Loss 2.0835 (2.2298)	Prec@1 47.656 (44.042)	Prec@5 76.562 (74.651)
Epoch: [35][7550/14090]	Time 0.741 (0.771)	Data 0.001 (0.002)	Loss 2.2125 (2.2298)	Prec@1 43.750 (44.043)	Prec@5 72.656 (74.651)
Epoch: [35][7560/14090]	Time 0.732 (0.771)	Data 0.001 (0.002)	Loss 1.9791 (2.2297)	Prec@1 45.312 (44.043)	Prec@5 82.031 (74.652)
Epoch: [35][7570/14090]	Time 0.760 (0.771)	Data 0.001 (0.002)	Loss 2.2104 (2.2297)	Prec@1 53.125 (44.046)	Prec@5 71.875 (74.652)
Epoch: [35][7580/14090]	Time 0.741 (0.771)	Data 0.001 (0.002)	Loss 1.9233 (2.2297)	Prec@1 51.562 (44.046)	Prec@5 82.812 (74.652)
Epoch: [35][7590/14090]	Time 0.864 (0.771)	Data 0.001 (0.002)	Loss 2.2736 (2.2298)	Prec@1 43.750 (44.042)	Prec@5 76.562 (74.649)
Epoch: [35][7600/14090]	Time 0.739 (0.771)	Data 0.001 (0.002)	Loss 2.2635 (2.2298)	Prec@1 43.750 (44.042)	Prec@5 73.438 (74.649)
Epoch: [35][7610/14090]	Time 0.737 (0.771)	Data 0.001 (0.002)	Loss 2.1096 (2.2297)	Prec@1 47.656 (44.045)	Prec@5 76.562 (74.650)
Epoch: [35][7620/14090]	Time 0.773 (0.771)	Data 0.001 (0.002)	Loss 1.8244 (2.2297)	Prec@1 50.000 (44.046)	Prec@5 81.250 (74.648)
Epoch: [35][7630/14090]	Time 0.732 (0.771)	Data 0.001 (0.002)	Loss 2.3570 (2.2297)	Prec@1 45.312 (44.049)	Prec@5 67.969 (74.647)
Epoch: [35][7640/14090]	Time 0.764 (0.771)	Data 0.001 (0.002)	Loss 2.2024 (2.2297)	Prec@1 49.219 (44.049)	Prec@5 75.781 (74.647)
Epoch: [35][7650/14090]	Time 0.742 (0.771)	Data 0.001 (0.002)	Loss 2.1348 (2.2297)	Prec@1 47.656 (44.049)	Prec@5 75.781 (74.649)
Epoch: [35][7660/14090]	Time 0.845 (0.771)	Data 0.001 (0.002)	Loss 2.2995 (2.2298)	Prec@1 45.312 (44.047)	Prec@5 71.875 (74.648)
Epoch: [35][7670/14090]	Time 0.754 (0.771)	Data 0.001 (0.002)	Loss 2.1099 (2.2298)	Prec@1 47.656 (44.046)	Prec@5 78.125 (74.650)
Epoch: [35][7680/14090]	Time 0.779 (0.771)	Data 0.001 (0.001)	Loss 2.1563 (2.2297)	Prec@1 44.531 (44.047)	Prec@5 74.219 (74.650)
Epoch: [35][7690/14090]	Time 0.728 (0.771)	Data 0.001 (0.001)	Loss 2.3703 (2.2297)	Prec@1 37.500 (44.048)	Prec@5 76.562 (74.652)
Epoch: [35][7700/14090]	Time 0.778 (0.771)	Data 0.001 (0.001)	Loss 2.3271 (2.2296)	Prec@1 39.062 (44.049)	Prec@5 71.875 (74.653)
Epoch: [35][7710/14090]	Time 0.751 (0.771)	Data 0.001 (0.001)	Loss 2.4252 (2.2297)	Prec@1 43.750 (44.049)	Prec@5 67.188 (74.651)
Epoch: [35][7720/14090]	Time 0.769 (0.771)	Data 0.001 (0.001)	Loss 2.1696 (2.2296)	Prec@1 46.875 (44.049)	Prec@5 74.219 (74.651)
Epoch: [35][7730/14090]	Time 0.894 (0.771)	Data 0.001 (0.001)	Loss 2.0383 (2.2296)	Prec@1 39.844 (44.050)	Prec@5 79.688 (74.650)
Epoch: [35][7740/14090]	Time 0.752 (0.771)	Data 0.001 (0.001)	Loss 2.2237 (2.2297)	Prec@1 42.188 (44.052)	Prec@5 78.906 (74.648)
Epoch: [35][7750/14090]	Time 0.776 (0.771)	Data 0.001 (0.001)	Loss 1.9433 (2.2297)	Prec@1 49.219 (44.051)	Prec@5 79.688 (74.650)
Epoch: [35][7760/14090]	Time 0.749 (0.771)	Data 0.001 (0.001)	Loss 2.1329 (2.2297)	Prec@1 42.969 (44.051)	Prec@5 78.906 (74.649)
Epoch: [35][7770/14090]	Time 0.748 (0.771)	Data 0.001 (0.001)	Loss 2.1349 (2.2298)	Prec@1 44.531 (44.050)	Prec@5 75.781 (74.648)
Epoch: [35][7780/14090]	Time 0.766 (0.771)	Data 0.001 (0.001)	Loss 2.1303 (2.2297)	Prec@1 51.562 (44.049)	Prec@5 75.781 (74.647)
Epoch: [35][7790/14090]	Time 0.760 (0.771)	Data 0.001 (0.001)	Loss 2.2297 (2.2297)	Prec@1 47.656 (44.050)	Prec@5 75.781 (74.649)
Epoch: [35][7800/14090]	Time 0.916 (0.771)	Data 0.001 (0.001)	Loss 2.1564 (2.2297)	Prec@1 46.875 (44.050)	Prec@5 76.562 (74.649)
Epoch: [35][7810/14090]	Time 0.730 (0.771)	Data 0.001 (0.001)	Loss 2.1898 (2.2297)	Prec@1 46.094 (44.052)	Prec@5 74.219 (74.650)
Epoch: [35][7820/14090]	Time 0.742 (0.771)	Data 0.001 (0.001)	Loss 1.9117 (2.2297)	Prec@1 51.562 (44.051)	Prec@5 83.594 (74.650)
Epoch: [35][7830/14090]	Time 0.736 (0.771)	Data 0.001 (0.001)	Loss 2.2711 (2.2298)	Prec@1 46.094 (44.050)	Prec@5 73.438 (74.648)
Epoch: [35][7840/14090]	Time 0.737 (0.771)	Data 0.001 (0.001)	Loss 2.4422 (2.2298)	Prec@1 39.844 (44.049)	Prec@5 69.531 (74.647)
Epoch: [35][7850/14090]	Time 0.754 (0.771)	Data 0.001 (0.001)	Loss 2.3525 (2.2298)	Prec@1 39.844 (44.049)	Prec@5 75.781 (74.649)
Epoch: [35][7860/14090]	Time 0.743 (0.771)	Data 0.001 (0.001)	Loss 2.1556 (2.2299)	Prec@1 45.312 (44.047)	Prec@5 78.906 (74.647)
Epoch: [35][7870/14090]	Time 0.997 (0.771)	Data 0.001 (0.001)	Loss 2.6341 (2.2300)	Prec@1 31.250 (44.045)	Prec@5 69.531 (74.645)
Epoch: [35][7880/14090]	Time 0.776 (0.771)	Data 0.001 (0.001)	Loss 2.2422 (2.2299)	Prec@1 42.188 (44.045)	Prec@5 71.875 (74.645)
Epoch: [35][7890/14090]	Time 0.742 (0.771)	Data 0.001 (0.001)	Loss 2.4131 (2.2301)	Prec@1 46.875 (44.044)	Prec@5 68.750 (74.644)
Epoch: [35][7900/14090]	Time 0.745 (0.771)	Data 0.001 (0.001)	Loss 2.5179 (2.2301)	Prec@1 36.719 (44.042)	Prec@5 65.625 (74.642)
Epoch: [35][7910/14090]	Time 0.756 (0.771)	Data 0.001 (0.001)	Loss 2.2798 (2.2302)	Prec@1 46.094 (44.044)	Prec@5 76.562 (74.641)
Epoch: [35][7920/14090]	Time 0.748 (0.771)	Data 0.001 (0.001)	Loss 2.2839 (2.2301)	Prec@1 43.750 (44.045)	Prec@5 76.562 (74.646)
Epoch: [35][7930/14090]	Time 0.741 (0.771)	Data 0.001 (0.001)	Loss 2.2388 (2.2300)	Prec@1 45.312 (44.047)	Prec@5 75.000 (74.645)
Epoch: [35][7940/14090]	Time 0.907 (0.771)	Data 0.001 (0.001)	Loss 2.5356 (2.2301)	Prec@1 35.938 (44.044)	Prec@5 69.531 (74.644)
Epoch: [35][7950/14090]	Time 0.745 (0.771)	Data 0.001 (0.001)	Loss 2.2518 (2.2302)	Prec@1 46.875 (44.042)	Prec@5 72.656 (74.644)
Epoch: [35][7960/14090]	Time 0.774 (0.771)	Data 0.003 (0.001)	Loss 2.1135 (2.2301)	Prec@1 52.344 (44.043)	Prec@5 75.000 (74.645)
Epoch: [35][7970/14090]	Time 0.747 (0.771)	Data 0.001 (0.001)	Loss 2.4357 (2.2301)	Prec@1 39.062 (44.042)	Prec@5 67.969 (74.643)
Epoch: [35][7980/14090]	Time 0.781 (0.771)	Data 0.001 (0.001)	Loss 2.1660 (2.2301)	Prec@1 46.875 (44.044)	Prec@5 73.438 (74.643)
Epoch: [35][7990/14090]	Time 0.758 (0.771)	Data 0.001 (0.001)	Loss 2.1346 (2.2300)	Prec@1 46.094 (44.045)	Prec@5 74.219 (74.642)
Epoch: [35][8000/14090]	Time 0.772 (0.771)	Data 0.001 (0.001)	Loss 2.2598 (2.2301)	Prec@1 43.750 (44.044)	Prec@5 72.656 (74.641)
Epoch: [35][8010/14090]	Time 0.824 (0.771)	Data 0.001 (0.001)	Loss 2.0216 (2.2301)	Prec@1 52.344 (44.046)	Prec@5 76.562 (74.640)
Epoch: [35][8020/14090]	Time 0.743 (0.771)	Data 0.001 (0.001)	Loss 2.1695 (2.2301)	Prec@1 38.281 (44.045)	Prec@5 74.219 (74.640)
Epoch: [35][8030/14090]	Time 0.743 (0.771)	Data 0.001 (0.001)	Loss 2.3437 (2.2302)	Prec@1 40.625 (44.043)	Prec@5 75.781 (74.639)
Epoch: [35][8040/14090]	Time 0.732 (0.771)	Data 0.001 (0.001)	Loss 2.2674 (2.2303)	Prec@1 46.875 (44.041)	Prec@5 73.438 (74.639)
Epoch: [35][8050/14090]	Time 0.757 (0.771)	Data 0.001 (0.001)	Loss 2.1997 (2.2302)	Prec@1 44.531 (44.042)	Prec@5 77.344 (74.639)
Epoch: [35][8060/14090]	Time 0.742 (0.771)	Data 0.001 (0.001)	Loss 2.5024 (2.2303)	Prec@1 35.938 (44.042)	Prec@5 73.438 (74.637)
Epoch: [35][8070/14090]	Time 0.757 (0.771)	Data 0.001 (0.001)	Loss 2.0577 (2.2303)	Prec@1 49.219 (44.042)	Prec@5 75.781 (74.636)
Epoch: [35][8080/14090]	Time 0.883 (0.771)	Data 0.001 (0.001)	Loss 2.0429 (2.2303)	Prec@1 51.562 (44.044)	Prec@5 79.688 (74.636)
Epoch: [35][8090/14090]	Time 0.734 (0.771)	Data 0.001 (0.001)	Loss 2.1214 (2.2304)	Prec@1 42.969 (44.042)	Prec@5 77.344 (74.636)
Epoch: [35][8100/14090]	Time 0.750 (0.771)	Data 0.001 (0.001)	Loss 2.0201 (2.2303)	Prec@1 47.656 (44.044)	Prec@5 76.562 (74.637)
Epoch: [35][8110/14090]	Time 0.743 (0.771)	Data 0.001 (0.001)	Loss 2.4855 (2.2303)	Prec@1 41.406 (44.046)	Prec@5 67.969 (74.637)
Epoch: [35][8120/14090]	Time 0.754 (0.771)	Data 0.001 (0.001)	Loss 2.2965 (2.2303)	Prec@1 41.406 (44.046)	Prec@5 77.344 (74.639)
Epoch: [35][8130/14090]	Time 0.726 (0.771)	Data 0.001 (0.001)	Loss 2.3713 (2.2303)	Prec@1 42.188 (44.049)	Prec@5 75.000 (74.640)
Epoch: [35][8140/14090]	Time 0.735 (0.771)	Data 0.001 (0.001)	Loss 2.3072 (2.2303)	Prec@1 40.625 (44.049)	Prec@5 76.562 (74.639)
Epoch: [35][8150/14090]	Time 0.870 (0.771)	Data 0.001 (0.001)	Loss 2.4396 (2.2304)	Prec@1 42.188 (44.047)	Prec@5 70.312 (74.639)
Epoch: [35][8160/14090]	Time 0.733 (0.771)	Data 0.001 (0.001)	Loss 2.2482 (2.2304)	Prec@1 43.750 (44.048)	Prec@5 76.562 (74.639)
Epoch: [35][8170/14090]	Time 0.749 (0.771)	Data 0.001 (0.001)	Loss 2.1948 (2.2304)	Prec@1 40.625 (44.048)	Prec@5 78.125 (74.639)
Epoch: [35][8180/14090]	Time 0.747 (0.771)	Data 0.001 (0.001)	Loss 2.1332 (2.2304)	Prec@1 40.625 (44.050)	Prec@5 80.469 (74.640)
Epoch: [35][8190/14090]	Time 0.745 (0.771)	Data 0.001 (0.001)	Loss 2.0217 (2.2304)	Prec@1 50.781 (44.050)	Prec@5 80.469 (74.639)
Epoch: [35][8200/14090]	Time 0.766 (0.771)	Data 0.004 (0.001)	Loss 2.1463 (2.2305)	Prec@1 47.656 (44.049)	Prec@5 74.219 (74.638)
Epoch: [35][8210/14090]	Time 0.725 (0.771)	Data 0.001 (0.001)	Loss 2.2863 (2.2305)	Prec@1 48.438 (44.049)	Prec@5 71.094 (74.638)
Epoch: [35][8220/14090]	Time 0.857 (0.771)	Data 0.001 (0.001)	Loss 1.8212 (2.2304)	Prec@1 49.219 (44.049)	Prec@5 80.469 (74.639)
Epoch: [35][8230/14090]	Time 0.779 (0.771)	Data 0.001 (0.001)	Loss 1.9111 (2.2303)	Prec@1 52.344 (44.051)	Prec@5 79.688 (74.641)
Epoch: [35][8240/14090]	Time 0.737 (0.771)	Data 0.001 (0.001)	Loss 2.1402 (2.2304)	Prec@1 44.531 (44.051)	Prec@5 74.219 (74.639)
Epoch: [35][8250/14090]	Time 0.760 (0.771)	Data 0.001 (0.001)	Loss 2.0869 (2.2303)	Prec@1 48.438 (44.052)	Prec@5 76.562 (74.640)
Epoch: [35][8260/14090]	Time 0.782 (0.771)	Data 0.001 (0.001)	Loss 2.3480 (2.2304)	Prec@1 47.656 (44.051)	Prec@5 69.531 (74.638)
Epoch: [35][8270/14090]	Time 0.774 (0.771)	Data 0.001 (0.001)	Loss 2.3004 (2.2304)	Prec@1 43.750 (44.048)	Prec@5 74.219 (74.637)
Epoch: [35][8280/14090]	Time 0.753 (0.771)	Data 0.001 (0.001)	Loss 1.9983 (2.2304)	Prec@1 52.344 (44.049)	Prec@5 76.562 (74.638)
Epoch: [35][8290/14090]	Time 0.867 (0.771)	Data 0.001 (0.001)	Loss 2.2237 (2.2304)	Prec@1 43.750 (44.048)	Prec@5 71.875 (74.638)
Epoch: [35][8300/14090]	Time 0.757 (0.771)	Data 0.001 (0.001)	Loss 2.4771 (2.2306)	Prec@1 35.938 (44.045)	Prec@5 70.312 (74.636)
Epoch: [35][8310/14090]	Time 0.737 (0.771)	Data 0.001 (0.001)	Loss 2.2131 (2.2305)	Prec@1 41.406 (44.044)	Prec@5 75.781 (74.637)
Epoch: [35][8320/14090]	Time 0.745 (0.771)	Data 0.001 (0.001)	Loss 2.0196 (2.2306)	Prec@1 50.781 (44.045)	Prec@5 78.906 (74.637)
Epoch: [35][8330/14090]	Time 0.777 (0.771)	Data 0.001 (0.001)	Loss 2.3393 (2.2306)	Prec@1 42.188 (44.043)	Prec@5 71.875 (74.636)
Epoch: [35][8340/14090]	Time 0.746 (0.771)	Data 0.001 (0.001)	Loss 2.1553 (2.2305)	Prec@1 45.312 (44.045)	Prec@5 78.125 (74.637)
Epoch: [35][8350/14090]	Time 0.724 (0.771)	Data 0.001 (0.001)	Loss 2.2156 (2.2305)	Prec@1 43.750 (44.043)	Prec@5 75.000 (74.638)
Epoch: [35][8360/14090]	Time 0.896 (0.771)	Data 0.001 (0.001)	Loss 1.9397 (2.2304)	Prec@1 50.781 (44.043)	Prec@5 82.812 (74.640)
Epoch: [35][8370/14090]	Time 0.729 (0.771)	Data 0.001 (0.001)	Loss 2.4322 (2.2304)	Prec@1 41.406 (44.043)	Prec@5 72.656 (74.641)
Epoch: [35][8380/14090]	Time 0.759 (0.771)	Data 0.001 (0.001)	Loss 2.3538 (2.2304)	Prec@1 41.406 (44.043)	Prec@5 71.094 (74.640)
Epoch: [35][8390/14090]	Time 0.726 (0.771)	Data 0.001 (0.001)	Loss 2.5281 (2.2306)	Prec@1 35.938 (44.038)	Prec@5 69.531 (74.639)
Epoch: [35][8400/14090]	Time 0.753 (0.771)	Data 0.001 (0.001)	Loss 2.3022 (2.2306)	Prec@1 47.656 (44.039)	Prec@5 75.781 (74.639)
Epoch: [35][8410/14090]	Time 0.738 (0.771)	Data 0.001 (0.001)	Loss 2.0689 (2.2305)	Prec@1 46.094 (44.041)	Prec@5 78.906 (74.641)
Epoch: [35][8420/14090]	Time 0.733 (0.771)	Data 0.001 (0.001)	Loss 2.2334 (2.2305)	Prec@1 46.094 (44.041)	Prec@5 74.219 (74.641)
Epoch: [35][8430/14090]	Time 0.890 (0.771)	Data 0.001 (0.001)	Loss 2.4051 (2.2305)	Prec@1 46.094 (44.042)	Prec@5 72.656 (74.639)
Epoch: [35][8440/14090]	Time 0.745 (0.771)	Data 0.001 (0.001)	Loss 2.0819 (2.2305)	Prec@1 47.656 (44.042)	Prec@5 77.344 (74.641)
Epoch: [35][8450/14090]	Time 0.780 (0.771)	Data 0.001 (0.001)	Loss 2.3243 (2.2305)	Prec@1 45.312 (44.042)	Prec@5 71.875 (74.640)
Epoch: [35][8460/14090]	Time 0.748 (0.771)	Data 0.001 (0.001)	Loss 2.2891 (2.2305)	Prec@1 42.969 (44.042)	Prec@5 72.656 (74.641)
Epoch: [35][8470/14090]	Time 0.741 (0.771)	Data 0.001 (0.001)	Loss 2.1681 (2.2304)	Prec@1 44.531 (44.044)	Prec@5 76.562 (74.641)
Epoch: [35][8480/14090]	Time 0.752 (0.771)	Data 0.001 (0.001)	Loss 2.4105 (2.2303)	Prec@1 42.969 (44.048)	Prec@5 72.656 (74.645)
Epoch: [35][8490/14090]	Time 0.790 (0.771)	Data 0.001 (0.001)	Loss 1.8021 (2.2303)	Prec@1 51.562 (44.048)	Prec@5 81.250 (74.645)
Epoch: [35][8500/14090]	Time 0.871 (0.771)	Data 0.001 (0.001)	Loss 2.1346 (2.2303)	Prec@1 46.875 (44.049)	Prec@5 74.219 (74.643)
Epoch: [35][8510/14090]	Time 0.753 (0.771)	Data 0.001 (0.001)	Loss 2.2898 (2.2302)	Prec@1 42.188 (44.052)	Prec@5 73.438 (74.646)
Epoch: [35][8520/14090]	Time 0.756 (0.771)	Data 0.001 (0.001)	Loss 2.3170 (2.2302)	Prec@1 40.625 (44.051)	Prec@5 75.781 (74.646)
Epoch: [35][8530/14090]	Time 0.736 (0.771)	Data 0.001 (0.001)	Loss 2.4527 (2.2303)	Prec@1 39.062 (44.050)	Prec@5 69.531 (74.643)
Epoch: [35][8540/14090]	Time 0.736 (0.771)	Data 0.001 (0.001)	Loss 1.9300 (2.2303)	Prec@1 46.875 (44.047)	Prec@5 80.469 (74.642)
Epoch: [35][8550/14090]	Time 0.760 (0.771)	Data 0.001 (0.001)	Loss 1.9257 (2.2303)	Prec@1 53.125 (44.049)	Prec@5 82.031 (74.643)
Epoch: [35][8560/14090]	Time 0.740 (0.771)	Data 0.001 (0.001)	Loss 2.2322 (2.2303)	Prec@1 38.281 (44.048)	Prec@5 75.781 (74.644)
Epoch: [35][8570/14090]	Time 0.831 (0.771)	Data 0.001 (0.001)	Loss 2.3981 (2.2304)	Prec@1 39.844 (44.046)	Prec@5 71.094 (74.643)
Epoch: [35][8580/14090]	Time 0.750 (0.771)	Data 0.001 (0.001)	Loss 2.0240 (2.2304)	Prec@1 47.656 (44.049)	Prec@5 78.906 (74.644)
Epoch: [35][8590/14090]	Time 0.736 (0.771)	Data 0.001 (0.001)	Loss 2.0318 (2.2303)	Prec@1 50.781 (44.050)	Prec@5 78.906 (74.643)
Epoch: [35][8600/14090]	Time 0.766 (0.771)	Data 0.001 (0.001)	Loss 2.0169 (2.2303)	Prec@1 50.000 (44.050)	Prec@5 81.250 (74.643)
Epoch: [35][8610/14090]	Time 0.758 (0.771)	Data 0.001 (0.001)	Loss 2.3021 (2.2302)	Prec@1 47.656 (44.052)	Prec@5 71.094 (74.643)
Epoch: [35][8620/14090]	Time 0.738 (0.771)	Data 0.001 (0.001)	Loss 2.2347 (2.2302)	Prec@1 48.438 (44.052)	Prec@5 71.094 (74.643)
Epoch: [35][8630/14090]	Time 0.729 (0.771)	Data 0.001 (0.001)	Loss 2.0156 (2.2302)	Prec@1 43.750 (44.051)	Prec@5 77.344 (74.643)
Epoch: [35][8640/14090]	Time 0.857 (0.771)	Data 0.001 (0.001)	Loss 2.0549 (2.2303)	Prec@1 57.031 (44.051)	Prec@5 77.344 (74.642)
Epoch: [35][8650/14090]	Time 0.756 (0.771)	Data 0.001 (0.001)	Loss 2.1954 (2.2303)	Prec@1 48.438 (44.051)	Prec@5 72.656 (74.640)
Epoch: [35][8660/14090]	Time 0.781 (0.771)	Data 0.001 (0.001)	Loss 2.4903 (2.2304)	Prec@1 34.375 (44.047)	Prec@5 71.094 (74.638)
Epoch: [35][8670/14090]	Time 0.747 (0.771)	Data 0.001 (0.001)	Loss 1.9650 (2.2304)	Prec@1 44.531 (44.049)	Prec@5 74.219 (74.638)
Epoch: [35][8680/14090]	Time 0.724 (0.771)	Data 0.001 (0.001)	Loss 2.0871 (2.2304)	Prec@1 44.531 (44.050)	Prec@5 75.781 (74.637)
Epoch: [35][8690/14090]	Time 0.728 (0.771)	Data 0.001 (0.001)	Loss 1.9605 (2.2304)	Prec@1 53.125 (44.050)	Prec@5 78.125 (74.637)
Epoch: [35][8700/14090]	Time 0.724 (0.771)	Data 0.001 (0.001)	Loss 2.6368 (2.2304)	Prec@1 36.719 (44.052)	Prec@5 68.750 (74.637)
Epoch: [35][8710/14090]	Time 0.881 (0.771)	Data 0.001 (0.001)	Loss 1.8781 (2.2303)	Prec@1 48.438 (44.052)	Prec@5 80.469 (74.638)
Epoch: [35][8720/14090]	Time 0.753 (0.771)	Data 0.001 (0.001)	Loss 2.2378 (2.2302)	Prec@1 46.875 (44.054)	Prec@5 73.438 (74.640)
Epoch: [35][8730/14090]	Time 0.761 (0.771)	Data 0.001 (0.001)	Loss 2.3420 (2.2303)	Prec@1 33.594 (44.053)	Prec@5 72.656 (74.639)
Epoch: [35][8740/14090]	Time 0.743 (0.771)	Data 0.001 (0.001)	Loss 2.1689 (2.2303)	Prec@1 43.750 (44.051)	Prec@5 77.344 (74.640)
Epoch: [35][8750/14090]	Time 0.771 (0.771)	Data 0.001 (0.001)	Loss 2.3450 (2.2305)	Prec@1 40.625 (44.048)	Prec@5 72.656 (74.636)
Epoch: [35][8760/14090]	Time 0.749 (0.771)	Data 0.001 (0.001)	Loss 2.0351 (2.2305)	Prec@1 49.219 (44.047)	Prec@5 81.250 (74.637)
Epoch: [35][8770/14090]	Time 0.733 (0.771)	Data 0.001 (0.001)	Loss 2.2732 (2.2305)	Prec@1 46.875 (44.049)	Prec@5 74.219 (74.638)
Epoch: [35][8780/14090]	Time 0.874 (0.771)	Data 0.001 (0.001)	Loss 2.1740 (2.2305)	Prec@1 44.531 (44.048)	Prec@5 75.781 (74.637)
Epoch: [35][8790/14090]	Time 0.733 (0.771)	Data 0.001 (0.001)	Loss 2.2766 (2.2306)	Prec@1 43.750 (44.048)	Prec@5 72.656 (74.636)
Epoch: [35][8800/14090]	Time 0.750 (0.771)	Data 0.001 (0.001)	Loss 2.3939 (2.2306)	Prec@1 39.062 (44.049)	Prec@5 69.531 (74.635)
Epoch: [35][8810/14090]	Time 0.741 (0.771)	Data 0.001 (0.001)	Loss 2.3280 (2.2307)	Prec@1 46.094 (44.047)	Prec@5 71.875 (74.634)
Epoch: [35][8820/14090]	Time 0.775 (0.771)	Data 0.001 (0.001)	Loss 2.3189 (2.2307)	Prec@1 45.312 (44.047)	Prec@5 73.438 (74.634)
Epoch: [35][8830/14090]	Time 0.733 (0.771)	Data 0.001 (0.001)	Loss 2.2364 (2.2307)	Prec@1 40.625 (44.046)	Prec@5 75.000 (74.633)
Epoch: [35][8840/14090]	Time 0.759 (0.771)	Data 0.001 (0.001)	Loss 2.1230 (2.2308)	Prec@1 46.094 (44.046)	Prec@5 72.656 (74.631)
Epoch: [35][8850/14090]	Time 0.846 (0.771)	Data 0.001 (0.001)	Loss 2.1818 (2.2307)	Prec@1 39.062 (44.044)	Prec@5 81.250 (74.632)
Epoch: [35][8860/14090]	Time 0.745 (0.771)	Data 0.001 (0.001)	Loss 2.1182 (2.2306)	Prec@1 46.094 (44.046)	Prec@5 78.125 (74.634)
Epoch: [35][8870/14090]	Time 0.773 (0.771)	Data 0.002 (0.001)	Loss 2.2032 (2.2307)	Prec@1 41.406 (44.044)	Prec@5 75.781 (74.633)
Epoch: [35][8880/14090]	Time 0.732 (0.771)	Data 0.001 (0.001)	Loss 2.2783 (2.2306)	Prec@1 43.750 (44.047)	Prec@5 74.219 (74.636)
Epoch: [35][8890/14090]	Time 0.740 (0.771)	Data 0.001 (0.001)	Loss 2.3193 (2.2305)	Prec@1 42.188 (44.048)	Prec@5 72.656 (74.638)
Epoch: [35][8900/14090]	Time 0.771 (0.771)	Data 0.001 (0.001)	Loss 2.2187 (2.2306)	Prec@1 44.531 (44.048)	Prec@5 75.000 (74.637)
Epoch: [35][8910/14090]	Time 0.738 (0.771)	Data 0.001 (0.001)	Loss 2.5117 (2.2305)	Prec@1 37.500 (44.048)	Prec@5 71.094 (74.638)
Epoch: [35][8920/14090]	Time 0.863 (0.771)	Data 0.001 (0.001)	Loss 2.0597 (2.2304)	Prec@1 45.312 (44.050)	Prec@5 77.344 (74.640)
Epoch: [35][8930/14090]	Time 0.737 (0.771)	Data 0.001 (0.001)	Loss 2.5046 (2.2305)	Prec@1 35.938 (44.049)	Prec@5 70.312 (74.639)
Epoch: [35][8940/14090]	Time 0.733 (0.771)	Data 0.001 (0.001)	Loss 2.3136 (2.2305)	Prec@1 39.062 (44.048)	Prec@5 74.219 (74.640)
Epoch: [35][8950/14090]	Time 0.737 (0.771)	Data 0.001 (0.001)	Loss 2.4268 (2.2305)	Prec@1 46.094 (44.047)	Prec@5 69.531 (74.639)
Epoch: [35][8960/14090]	Time 0.748 (0.771)	Data 0.001 (0.001)	Loss 2.2772 (2.2305)	Prec@1 42.969 (44.049)	Prec@5 73.438 (74.642)
Epoch: [35][8970/14090]	Time 0.770 (0.771)	Data 0.001 (0.001)	Loss 2.2897 (2.2304)	Prec@1 42.969 (44.051)	Prec@5 71.094 (74.641)
Epoch: [35][8980/14090]	Time 0.754 (0.771)	Data 0.001 (0.001)	Loss 2.1996 (2.2304)	Prec@1 42.969 (44.052)	Prec@5 74.219 (74.642)
Epoch: [35][8990/14090]	Time 0.977 (0.771)	Data 0.001 (0.001)	Loss 1.7637 (2.2303)	Prec@1 50.781 (44.052)	Prec@5 82.031 (74.642)
Epoch: [35][9000/14090]	Time 0.754 (0.771)	Data 0.001 (0.001)	Loss 2.2873 (2.2304)	Prec@1 42.969 (44.052)	Prec@5 71.875 (74.642)
Epoch: [35][9010/14090]	Time 0.772 (0.771)	Data 0.001 (0.001)	Loss 2.5385 (2.2304)	Prec@1 38.281 (44.053)	Prec@5 68.750 (74.641)
Epoch: [35][9020/14090]	Time 0.767 (0.771)	Data 0.001 (0.001)	Loss 1.9625 (2.2304)	Prec@1 53.906 (44.053)	Prec@5 81.250 (74.641)
Epoch: [35][9030/14090]	Time 0.737 (0.771)	Data 0.001 (0.001)	Loss 1.9792 (2.2304)	Prec@1 52.344 (44.056)	Prec@5 77.344 (74.640)
Epoch: [35][9040/14090]	Time 0.745 (0.771)	Data 0.001 (0.001)	Loss 2.3245 (2.2304)	Prec@1 46.875 (44.055)	Prec@5 73.438 (74.640)
Epoch: [35][9050/14090]	Time 0.719 (0.771)	Data 0.001 (0.001)	Loss 2.0462 (2.2304)	Prec@1 44.531 (44.057)	Prec@5 75.000 (74.641)
Epoch: [35][9060/14090]	Time 0.930 (0.771)	Data 0.001 (0.001)	Loss 2.1797 (2.2304)	Prec@1 44.531 (44.058)	Prec@5 79.688 (74.642)
Epoch: [35][9070/14090]	Time 0.774 (0.771)	Data 0.001 (0.001)	Loss 2.1811 (2.2303)	Prec@1 36.719 (44.058)	Prec@5 78.125 (74.644)
Epoch: [35][9080/14090]	Time 0.747 (0.771)	Data 0.001 (0.001)	Loss 2.2418 (2.2302)	Prec@1 44.531 (44.057)	Prec@5 78.906 (74.646)
Epoch: [35][9090/14090]	Time 0.785 (0.771)	Data 0.001 (0.001)	Loss 2.4106 (2.2302)	Prec@1 40.625 (44.057)	Prec@5 68.750 (74.646)
Epoch: [35][9100/14090]	Time 0.763 (0.771)	Data 0.001 (0.001)	Loss 2.3263 (2.2302)	Prec@1 41.406 (44.056)	Prec@5 70.312 (74.645)
Epoch: [35][9110/14090]	Time 0.761 (0.771)	Data 0.002 (0.001)	Loss 2.4467 (2.2302)	Prec@1 39.844 (44.057)	Prec@5 72.656 (74.645)
Epoch: [35][9120/14090]	Time 0.750 (0.771)	Data 0.001 (0.001)	Loss 2.0982 (2.2302)	Prec@1 50.781 (44.057)	Prec@5 78.125 (74.646)
Epoch: [35][9130/14090]	Time 0.877 (0.771)	Data 0.001 (0.001)	Loss 2.2089 (2.2304)	Prec@1 44.531 (44.052)	Prec@5 79.688 (74.641)
Epoch: [35][9140/14090]	Time 0.749 (0.771)	Data 0.001 (0.001)	Loss 2.2703 (2.2303)	Prec@1 41.406 (44.052)	Prec@5 76.562 (74.643)
Epoch: [35][9150/14090]	Time 0.764 (0.771)	Data 0.001 (0.001)	Loss 2.5057 (2.2305)	Prec@1 32.812 (44.048)	Prec@5 67.969 (74.641)
Epoch: [35][9160/14090]	Time 0.731 (0.771)	Data 0.001 (0.001)	Loss 2.2937 (2.2304)	Prec@1 41.406 (44.049)	Prec@5 75.781 (74.642)
Epoch: [35][9170/14090]	Time 0.748 (0.771)	Data 0.001 (0.001)	Loss 2.2602 (2.2303)	Prec@1 42.188 (44.052)	Prec@5 75.000 (74.643)
Epoch: [35][9180/14090]	Time 0.737 (0.771)	Data 0.001 (0.001)	Loss 2.2013 (2.2303)	Prec@1 39.844 (44.052)	Prec@5 75.781 (74.643)
Epoch: [35][9190/14090]	Time 0.759 (0.771)	Data 0.001 (0.001)	Loss 2.5476 (2.2303)	Prec@1 37.500 (44.050)	Prec@5 69.531 (74.643)
Epoch: [35][9200/14090]	Time 0.922 (0.771)	Data 0.001 (0.001)	Loss 2.1963 (2.2303)	Prec@1 48.438 (44.049)	Prec@5 75.781 (74.645)
Epoch: [35][9210/14090]	Time 0.741 (0.771)	Data 0.001 (0.001)	Loss 2.3003 (2.2303)	Prec@1 42.969 (44.048)	Prec@5 78.125 (74.647)
Epoch: [35][9220/14090]	Time 0.744 (0.771)	Data 0.001 (0.001)	Loss 2.2752 (2.2304)	Prec@1 39.844 (44.047)	Prec@5 75.781 (74.645)
Epoch: [35][9230/14090]	Time 0.754 (0.771)	Data 0.001 (0.001)	Loss 2.4726 (2.2303)	Prec@1 37.500 (44.048)	Prec@5 72.656 (74.648)
Epoch: [35][9240/14090]	Time 0.763 (0.771)	Data 0.001 (0.001)	Loss 2.1474 (2.2302)	Prec@1 45.312 (44.051)	Prec@5 75.781 (74.650)
Epoch: [35][9250/14090]	Time 0.763 (0.771)	Data 0.001 (0.001)	Loss 2.0809 (2.2302)	Prec@1 47.656 (44.052)	Prec@5 78.906 (74.649)
Epoch: [35][9260/14090]	Time 0.741 (0.771)	Data 0.001 (0.001)	Loss 2.0799 (2.2302)	Prec@1 48.438 (44.051)	Prec@5 77.344 (74.650)
Epoch: [35][9270/14090]	Time 1.005 (0.771)	Data 0.001 (0.001)	Loss 2.2171 (2.2302)	Prec@1 42.969 (44.051)	Prec@5 79.688 (74.651)
Epoch: [35][9280/14090]	Time 0.736 (0.771)	Data 0.001 (0.001)	Loss 2.0491 (2.2302)	Prec@1 45.312 (44.049)	Prec@5 77.344 (74.653)
Epoch: [35][9290/14090]	Time 0.734 (0.771)	Data 0.001 (0.001)	Loss 2.3244 (2.2302)	Prec@1 40.625 (44.047)	Prec@5 70.312 (74.652)
Epoch: [35][9300/14090]	Time 0.728 (0.771)	Data 0.001 (0.001)	Loss 2.3357 (2.2301)	Prec@1 38.281 (44.051)	Prec@5 74.219 (74.653)
Epoch: [35][9310/14090]	Time 0.753 (0.771)	Data 0.001 (0.001)	Loss 2.0508 (2.2302)	Prec@1 48.438 (44.051)	Prec@5 78.906 (74.652)
Epoch: [35][9320/14090]	Time 0.762 (0.771)	Data 0.001 (0.001)	Loss 2.1795 (2.2302)	Prec@1 45.312 (44.051)	Prec@5 72.656 (74.651)
Epoch: [35][9330/14090]	Time 0.777 (0.771)	Data 0.001 (0.001)	Loss 2.2256 (2.2302)	Prec@1 46.875 (44.053)	Prec@5 73.438 (74.650)
Epoch: [35][9340/14090]	Time 0.835 (0.771)	Data 0.001 (0.001)	Loss 2.0800 (2.2301)	Prec@1 46.094 (44.055)	Prec@5 77.344 (74.651)
Epoch: [35][9350/14090]	Time 0.775 (0.771)	Data 0.001 (0.001)	Loss 2.5382 (2.2301)	Prec@1 41.406 (44.054)	Prec@5 66.406 (74.651)
Epoch: [35][9360/14090]	Time 0.739 (0.771)	Data 0.001 (0.001)	Loss 2.1757 (2.2301)	Prec@1 46.875 (44.056)	Prec@5 74.219 (74.651)
Epoch: [35][9370/14090]	Time 0.797 (0.771)	Data 0.001 (0.001)	Loss 2.4234 (2.2301)	Prec@1 38.281 (44.056)	Prec@5 71.875 (74.650)
Epoch: [35][9380/14090]	Time 0.739 (0.771)	Data 0.001 (0.001)	Loss 2.3905 (2.2301)	Prec@1 40.625 (44.054)	Prec@5 73.438 (74.649)
Epoch: [35][9390/14090]	Time 0.760 (0.771)	Data 0.001 (0.001)	Loss 2.3660 (2.2302)	Prec@1 42.969 (44.054)	Prec@5 73.438 (74.649)
Epoch: [35][9400/14090]	Time 0.757 (0.771)	Data 0.001 (0.001)	Loss 2.4731 (2.2302)	Prec@1 41.406 (44.054)	Prec@5 70.312 (74.648)
Epoch: [35][9410/14090]	Time 0.852 (0.771)	Data 0.001 (0.001)	Loss 2.4326 (2.2303)	Prec@1 38.281 (44.051)	Prec@5 67.969 (74.647)
Epoch: [35][9420/14090]	Time 0.725 (0.771)	Data 0.001 (0.001)	Loss 2.3013 (2.2302)	Prec@1 41.406 (44.053)	Prec@5 75.000 (74.648)
Epoch: [35][9430/14090]	Time 0.762 (0.771)	Data 0.001 (0.001)	Loss 1.9963 (2.2302)	Prec@1 52.344 (44.053)	Prec@5 74.219 (74.649)
Epoch: [35][9440/14090]	Time 0.751 (0.771)	Data 0.001 (0.001)	Loss 2.5431 (2.2302)	Prec@1 35.938 (44.053)	Prec@5 71.875 (74.650)
Epoch: [35][9450/14090]	Time 0.770 (0.771)	Data 0.001 (0.001)	Loss 2.4521 (2.2303)	Prec@1 39.844 (44.054)	Prec@5 69.531 (74.649)
Epoch: [35][9460/14090]	Time 0.748 (0.771)	Data 0.001 (0.001)	Loss 2.2979 (2.2304)	Prec@1 39.844 (44.051)	Prec@5 74.219 (74.648)
Epoch: [35][9470/14090]	Time 0.755 (0.771)	Data 0.001 (0.001)	Loss 2.0519 (2.2303)	Prec@1 46.094 (44.052)	Prec@5 78.906 (74.649)
Epoch: [35][9480/14090]	Time 0.844 (0.771)	Data 0.001 (0.001)	Loss 2.1106 (2.2301)	Prec@1 46.094 (44.055)	Prec@5 80.469 (74.653)
Epoch: [35][9490/14090]	Time 0.744 (0.771)	Data 0.001 (0.001)	Loss 2.0325 (2.2302)	Prec@1 50.781 (44.056)	Prec@5 76.562 (74.652)
Epoch: [35][9500/14090]	Time 0.774 (0.771)	Data 0.001 (0.001)	Loss 2.0594 (2.2303)	Prec@1 46.875 (44.056)	Prec@5 75.781 (74.650)
Epoch: [35][9510/14090]	Time 0.748 (0.771)	Data 0.002 (0.001)	Loss 2.3653 (2.2302)	Prec@1 35.938 (44.056)	Prec@5 66.406 (74.650)
Epoch: [35][9520/14090]	Time 0.733 (0.771)	Data 0.001 (0.001)	Loss 2.3626 (2.2303)	Prec@1 44.531 (44.056)	Prec@5 72.656 (74.650)
Epoch: [35][9530/14090]	Time 0.737 (0.771)	Data 0.002 (0.001)	Loss 2.2835 (2.2303)	Prec@1 39.062 (44.056)	Prec@5 74.219 (74.650)
Epoch: [35][9540/14090]	Time 0.723 (0.771)	Data 0.001 (0.001)	Loss 2.0123 (2.2302)	Prec@1 47.656 (44.055)	Prec@5 78.906 (74.652)
Epoch: [35][9550/14090]	Time 0.908 (0.771)	Data 0.001 (0.001)	Loss 2.2313 (2.2303)	Prec@1 46.875 (44.053)	Prec@5 72.656 (74.650)
Epoch: [35][9560/14090]	Time 0.745 (0.771)	Data 0.001 (0.001)	Loss 2.5915 (2.2303)	Prec@1 36.719 (44.052)	Prec@5 73.438 (74.649)
Epoch: [35][9570/14090]	Time 0.749 (0.771)	Data 0.001 (0.001)	Loss 2.5785 (2.2304)	Prec@1 33.594 (44.050)	Prec@5 74.219 (74.648)
Epoch: [35][9580/14090]	Time 0.742 (0.771)	Data 0.001 (0.001)	Loss 2.3260 (2.2304)	Prec@1 42.188 (44.049)	Prec@5 74.219 (74.649)
Epoch: [35][9590/14090]	Time 0.778 (0.771)	Data 0.001 (0.001)	Loss 2.5601 (2.2304)	Prec@1 39.844 (44.049)	Prec@5 71.094 (74.648)
Epoch: [35][9600/14090]	Time 0.760 (0.771)	Data 0.001 (0.001)	Loss 2.1822 (2.2305)	Prec@1 49.219 (44.051)	Prec@5 77.344 (74.647)
Epoch: [35][9610/14090]	Time 0.734 (0.771)	Data 0.001 (0.001)	Loss 1.9417 (2.2304)	Prec@1 50.000 (44.052)	Prec@5 81.250 (74.648)
Epoch: [35][9620/14090]	Time 0.860 (0.771)	Data 0.001 (0.001)	Loss 2.2602 (2.2305)	Prec@1 43.750 (44.050)	Prec@5 73.438 (74.648)
Epoch: [35][9630/14090]	Time 0.735 (0.771)	Data 0.001 (0.001)	Loss 2.2144 (2.2306)	Prec@1 40.625 (44.049)	Prec@5 78.125 (74.647)
Epoch: [35][9640/14090]	Time 0.775 (0.771)	Data 0.001 (0.001)	Loss 2.5842 (2.2306)	Prec@1 35.938 (44.048)	Prec@5 65.625 (74.646)
Epoch: [35][9650/14090]	Time 0.772 (0.771)	Data 0.001 (0.001)	Loss 2.5557 (2.2307)	Prec@1 34.375 (44.048)	Prec@5 69.531 (74.644)
Epoch: [35][9660/14090]	Time 0.761 (0.771)	Data 0.001 (0.001)	Loss 2.1499 (2.2307)	Prec@1 41.406 (44.049)	Prec@5 75.000 (74.645)
Epoch: [35][9670/14090]	Time 0.740 (0.771)	Data 0.001 (0.001)	Loss 2.1109 (2.2307)	Prec@1 46.094 (44.047)	Prec@5 74.219 (74.646)
Epoch: [35][9680/14090]	Time 0.754 (0.771)	Data 0.001 (0.001)	Loss 2.2419 (2.2306)	Prec@1 42.188 (44.047)	Prec@5 75.781 (74.646)
Epoch: [35][9690/14090]	Time 0.877 (0.771)	Data 0.001 (0.001)	Loss 2.2334 (2.2306)	Prec@1 46.094 (44.049)	Prec@5 75.781 (74.647)
Epoch: [35][9700/14090]	Time 0.728 (0.771)	Data 0.001 (0.001)	Loss 2.4294 (2.2306)	Prec@1 35.938 (44.047)	Prec@5 69.531 (74.647)
Epoch: [35][9710/14090]	Time 0.778 (0.771)	Data 0.001 (0.001)	Loss 1.9037 (2.2308)	Prec@1 49.219 (44.045)	Prec@5 82.031 (74.644)
Epoch: [35][9720/14090]	Time 0.738 (0.771)	Data 0.001 (0.001)	Loss 2.2451 (2.2307)	Prec@1 41.406 (44.046)	Prec@5 69.531 (74.644)
Epoch: [35][9730/14090]	Time 0.751 (0.771)	Data 0.001 (0.001)	Loss 1.9984 (2.2306)	Prec@1 48.438 (44.046)	Prec@5 79.688 (74.644)
Epoch: [35][9740/14090]	Time 0.737 (0.771)	Data 0.001 (0.001)	Loss 2.4042 (2.2307)	Prec@1 38.281 (44.045)	Prec@5 70.312 (74.642)
Epoch: [35][9750/14090]	Time 0.769 (0.771)	Data 0.001 (0.001)	Loss 2.2105 (2.2307)	Prec@1 45.312 (44.047)	Prec@5 75.781 (74.643)
Epoch: [35][9760/14090]	Time 0.869 (0.771)	Data 0.001 (0.001)	Loss 2.0324 (2.2306)	Prec@1 50.000 (44.048)	Prec@5 76.562 (74.644)
Epoch: [35][9770/14090]	Time 0.731 (0.771)	Data 0.001 (0.001)	Loss 2.4282 (2.2306)	Prec@1 39.844 (44.049)	Prec@5 70.312 (74.644)
Epoch: [35][9780/14090]	Time 0.749 (0.771)	Data 0.001 (0.001)	Loss 2.3523 (2.2306)	Prec@1 43.750 (44.049)	Prec@5 70.312 (74.643)
Epoch: [35][9790/14090]	Time 0.766 (0.771)	Data 0.001 (0.001)	Loss 2.0170 (2.2307)	Prec@1 46.875 (44.049)	Prec@5 77.344 (74.643)
Epoch: [35][9800/14090]	Time 0.758 (0.771)	Data 0.001 (0.001)	Loss 2.2170 (2.2307)	Prec@1 39.844 (44.048)	Prec@5 78.906 (74.644)
Epoch: [35][9810/14090]	Time 0.775 (0.771)	Data 0.001 (0.001)	Loss 2.1474 (2.2307)	Prec@1 46.875 (44.047)	Prec@5 78.125 (74.644)
Epoch: [35][9820/14090]	Time 0.744 (0.771)	Data 0.001 (0.001)	Loss 1.7457 (2.2307)	Prec@1 55.469 (44.047)	Prec@5 86.719 (74.646)
Epoch: [35][9830/14090]	Time 0.859 (0.771)	Data 0.001 (0.001)	Loss 2.3784 (2.2307)	Prec@1 42.188 (44.046)	Prec@5 69.531 (74.645)
Epoch: [35][9840/14090]	Time 0.748 (0.771)	Data 0.001 (0.001)	Loss 2.2206 (2.2307)	Prec@1 44.531 (44.044)	Prec@5 77.344 (74.645)
Epoch: [35][9850/14090]	Time 0.739 (0.771)	Data 0.001 (0.001)	Loss 2.4022 (2.2308)	Prec@1 45.312 (44.045)	Prec@5 71.094 (74.644)
Epoch: [35][9860/14090]	Time 0.763 (0.771)	Data 0.001 (0.001)	Loss 2.1953 (2.2308)	Prec@1 38.281 (44.043)	Prec@5 80.469 (74.643)
Epoch: [35][9870/14090]	Time 0.729 (0.771)	Data 0.001 (0.001)	Loss 2.2211 (2.2308)	Prec@1 49.219 (44.043)	Prec@5 74.219 (74.642)
Epoch: [35][9880/14090]	Time 0.766 (0.771)	Data 0.001 (0.001)	Loss 2.1563 (2.2308)	Prec@1 46.094 (44.043)	Prec@5 78.125 (74.643)
Epoch: [35][9890/14090]	Time 0.737 (0.771)	Data 0.001 (0.001)	Loss 2.0358 (2.2308)	Prec@1 54.688 (44.045)	Prec@5 79.688 (74.643)
Epoch: [35][9900/14090]	Time 0.864 (0.771)	Data 0.001 (0.001)	Loss 2.5465 (2.2308)	Prec@1 41.406 (44.044)	Prec@5 67.969 (74.641)
Epoch: [35][9910/14090]	Time 0.729 (0.771)	Data 0.001 (0.001)	Loss 2.3076 (2.2308)	Prec@1 45.312 (44.046)	Prec@5 67.188 (74.640)
Epoch: [35][9920/14090]	Time 0.741 (0.771)	Data 0.001 (0.001)	Loss 2.2242 (2.2308)	Prec@1 46.094 (44.046)	Prec@5 73.438 (74.639)
Epoch: [35][9930/14090]	Time 0.731 (0.771)	Data 0.001 (0.001)	Loss 2.2709 (2.2308)	Prec@1 49.219 (44.045)	Prec@5 71.094 (74.639)
Epoch: [35][9940/14090]	Time 0.753 (0.771)	Data 0.001 (0.001)	Loss 2.4978 (2.2309)	Prec@1 39.062 (44.044)	Prec@5 67.188 (74.639)
Epoch: [35][9950/14090]	Time 0.774 (0.771)	Data 0.001 (0.001)	Loss 2.3211 (2.2309)	Prec@1 42.188 (44.045)	Prec@5 71.875 (74.639)
Epoch: [35][9960/14090]	Time 0.763 (0.771)	Data 0.001 (0.001)	Loss 2.1833 (2.2308)	Prec@1 43.750 (44.044)	Prec@5 73.438 (74.640)
Epoch: [35][9970/14090]	Time 0.871 (0.771)	Data 0.001 (0.001)	Loss 2.6160 (2.2309)	Prec@1 39.844 (44.042)	Prec@5 69.531 (74.640)
Epoch: [35][9980/14090]	Time 0.719 (0.771)	Data 0.001 (0.001)	Loss 2.4307 (2.2310)	Prec@1 38.281 (44.040)	Prec@5 72.656 (74.638)
Epoch: [35][9990/14090]	Time 0.738 (0.771)	Data 0.001 (0.001)	Loss 2.1447 (2.2310)	Prec@1 43.750 (44.038)	Prec@5 76.562 (74.638)
Epoch: [35][10000/14090]	Time 0.765 (0.771)	Data 0.001 (0.001)	Loss 1.8964 (2.2309)	Prec@1 53.125 (44.040)	Prec@5 82.812 (74.641)
Epoch: [35][10010/14090]	Time 0.759 (0.771)	Data 0.001 (0.001)	Loss 2.1920 (2.2309)	Prec@1 50.000 (44.041)	Prec@5 70.312 (74.641)
Epoch: [35][10020/14090]	Time 0.734 (0.771)	Data 0.001 (0.001)	Loss 2.2272 (2.2309)	Prec@1 41.406 (44.042)	Prec@5 71.875 (74.640)
Epoch: [35][10030/14090]	Time 0.747 (0.771)	Data 0.001 (0.001)	Loss 2.0503 (2.2309)	Prec@1 50.000 (44.044)	Prec@5 78.125 (74.641)
Epoch: [35][10040/14090]	Time 0.846 (0.771)	Data 0.001 (0.001)	Loss 2.4638 (2.2309)	Prec@1 38.281 (44.044)	Prec@5 71.094 (74.639)
Epoch: [35][10050/14090]	Time 0.769 (0.771)	Data 0.001 (0.001)	Loss 2.4266 (2.2309)	Prec@1 42.188 (44.046)	Prec@5 70.312 (74.639)
Epoch: [35][10060/14090]	Time 0.774 (0.771)	Data 0.001 (0.001)	Loss 2.2601 (2.2309)	Prec@1 42.969 (44.046)	Prec@5 75.000 (74.638)
Epoch: [35][10070/14090]	Time 0.725 (0.771)	Data 0.001 (0.001)	Loss 2.4702 (2.2310)	Prec@1 42.969 (44.045)	Prec@5 70.312 (74.638)
Epoch: [35][10080/14090]	Time 0.778 (0.771)	Data 0.001 (0.001)	Loss 2.0603 (2.2310)	Prec@1 45.312 (44.045)	Prec@5 78.906 (74.637)
Epoch: [35][10090/14090]	Time 0.755 (0.771)	Data 0.001 (0.001)	Loss 2.3132 (2.2310)	Prec@1 37.500 (44.045)	Prec@5 71.094 (74.636)
Epoch: [35][10100/14090]	Time 0.745 (0.771)	Data 0.001 (0.001)	Loss 2.0623 (2.2311)	Prec@1 51.562 (44.044)	Prec@5 75.781 (74.636)
Epoch: [35][10110/14090]	Time 0.886 (0.771)	Data 0.001 (0.001)	Loss 1.8992 (2.2310)	Prec@1 53.125 (44.046)	Prec@5 82.031 (74.638)
Epoch: [35][10120/14090]	Time 0.778 (0.771)	Data 0.001 (0.001)	Loss 2.2632 (2.2310)	Prec@1 39.062 (44.045)	Prec@5 74.219 (74.638)
Epoch: [35][10130/14090]	Time 0.756 (0.771)	Data 0.001 (0.001)	Loss 2.2914 (2.2310)	Prec@1 40.625 (44.045)	Prec@5 76.562 (74.640)
Epoch: [35][10140/14090]	Time 0.779 (0.771)	Data 0.001 (0.001)	Loss 2.3763 (2.2310)	Prec@1 39.062 (44.043)	Prec@5 71.094 (74.639)
Epoch: [35][10150/14090]	Time 0.735 (0.771)	Data 0.001 (0.001)	Loss 1.8061 (2.2310)	Prec@1 50.781 (44.043)	Prec@5 78.125 (74.639)
Epoch: [35][10160/14090]	Time 0.747 (0.771)	Data 0.001 (0.001)	Loss 2.1837 (2.2309)	Prec@1 42.969 (44.042)	Prec@5 77.344 (74.640)
Epoch: [35][10170/14090]	Time 0.769 (0.771)	Data 0.001 (0.001)	Loss 2.3282 (2.2310)	Prec@1 39.844 (44.041)	Prec@5 66.406 (74.638)
Epoch: [35][10180/14090]	Time 0.889 (0.771)	Data 0.001 (0.001)	Loss 2.0761 (2.2310)	Prec@1 49.219 (44.043)	Prec@5 76.562 (74.638)
Epoch: [35][10190/14090]	Time 0.751 (0.771)	Data 0.001 (0.001)	Loss 2.3049 (2.2311)	Prec@1 41.406 (44.042)	Prec@5 74.219 (74.637)
Epoch: [35][10200/14090]	Time 0.781 (0.771)	Data 0.001 (0.001)	Loss 2.1074 (2.2311)	Prec@1 41.406 (44.043)	Prec@5 77.344 (74.638)
Epoch: [35][10210/14090]	Time 0.760 (0.771)	Data 0.001 (0.001)	Loss 2.3781 (2.2311)	Prec@1 42.188 (44.042)	Prec@5 71.094 (74.637)
Epoch: [35][10220/14090]	Time 0.738 (0.771)	Data 0.001 (0.001)	Loss 2.4564 (2.2312)	Prec@1 42.188 (44.041)	Prec@5 70.312 (74.635)
Epoch: [35][10230/14090]	Time 0.759 (0.771)	Data 0.001 (0.001)	Loss 2.0994 (2.2312)	Prec@1 45.312 (44.041)	Prec@5 75.781 (74.635)
Epoch: [35][10240/14090]	Time 0.781 (0.771)	Data 0.001 (0.001)	Loss 2.0810 (2.2313)	Prec@1 45.312 (44.039)	Prec@5 78.125 (74.634)
Epoch: [35][10250/14090]	Time 0.889 (0.771)	Data 0.001 (0.001)	Loss 2.2554 (2.2313)	Prec@1 45.312 (44.037)	Prec@5 78.906 (74.635)
Epoch: [35][10260/14090]	Time 0.760 (0.771)	Data 0.001 (0.001)	Loss 2.3209 (2.2314)	Prec@1 45.312 (44.036)	Prec@5 74.219 (74.634)
Epoch: [35][10270/14090]	Time 0.762 (0.771)	Data 0.001 (0.001)	Loss 2.3422 (2.2314)	Prec@1 41.406 (44.037)	Prec@5 73.438 (74.635)
Epoch: [35][10280/14090]	Time 0.725 (0.771)	Data 0.001 (0.001)	Loss 2.1019 (2.2313)	Prec@1 46.094 (44.039)	Prec@5 75.000 (74.635)
Epoch: [35][10290/14090]	Time 0.752 (0.771)	Data 0.001 (0.001)	Loss 2.0820 (2.2313)	Prec@1 46.875 (44.039)	Prec@5 78.125 (74.635)
Epoch: [35][10300/14090]	Time 0.754 (0.771)	Data 0.001 (0.001)	Loss 2.0704 (2.2314)	Prec@1 47.656 (44.037)	Prec@5 77.344 (74.634)
Epoch: [35][10310/14090]	Time 0.759 (0.771)	Data 0.001 (0.001)	Loss 2.5386 (2.2314)	Prec@1 39.062 (44.039)	Prec@5 71.875 (74.634)
Epoch: [35][10320/14090]	Time 0.922 (0.771)	Data 0.001 (0.001)	Loss 2.2116 (2.2313)	Prec@1 50.000 (44.041)	Prec@5 75.000 (74.634)
Epoch: [35][10330/14090]	Time 0.747 (0.771)	Data 0.001 (0.001)	Loss 2.5024 (2.2313)	Prec@1 38.281 (44.040)	Prec@5 69.531 (74.634)
Epoch: [35][10340/14090]	Time 0.739 (0.771)	Data 0.001 (0.001)	Loss 2.1081 (2.2313)	Prec@1 46.094 (44.039)	Prec@5 78.906 (74.634)
Epoch: [35][10350/14090]	Time 0.735 (0.771)	Data 0.001 (0.001)	Loss 2.4323 (2.2313)	Prec@1 38.281 (44.040)	Prec@5 70.312 (74.634)
Epoch: [35][10360/14090]	Time 0.775 (0.771)	Data 0.001 (0.001)	Loss 2.3358 (2.2314)	Prec@1 46.875 (44.039)	Prec@5 69.531 (74.634)
Epoch: [35][10370/14090]	Time 0.779 (0.771)	Data 0.001 (0.001)	Loss 2.3683 (2.2314)	Prec@1 39.062 (44.039)	Prec@5 72.656 (74.635)
Epoch: [35][10380/14090]	Time 0.728 (0.771)	Data 0.001 (0.001)	Loss 2.5052 (2.2314)	Prec@1 35.938 (44.037)	Prec@5 70.312 (74.635)
Epoch: [35][10390/14090]	Time 0.862 (0.771)	Data 0.001 (0.001)	Loss 1.9832 (2.2313)	Prec@1 50.000 (44.038)	Prec@5 83.594 (74.638)
Epoch: [35][10400/14090]	Time 0.737 (0.771)	Data 0.001 (0.001)	Loss 2.3594 (2.2313)	Prec@1 40.625 (44.037)	Prec@5 68.750 (74.635)
Epoch: [35][10410/14090]	Time 0.759 (0.771)	Data 0.001 (0.001)	Loss 2.2613 (2.2313)	Prec@1 46.094 (44.039)	Prec@5 71.094 (74.636)
Epoch: [35][10420/14090]	Time 0.779 (0.771)	Data 0.001 (0.001)	Loss 2.0272 (2.2313)	Prec@1 49.219 (44.038)	Prec@5 79.688 (74.633)
Epoch: [35][10430/14090]	Time 0.730 (0.771)	Data 0.001 (0.001)	Loss 2.0978 (2.2313)	Prec@1 46.875 (44.038)	Prec@5 79.688 (74.633)
Epoch: [35][10440/14090]	Time 0.761 (0.771)	Data 0.001 (0.001)	Loss 2.6039 (2.2314)	Prec@1 39.844 (44.038)	Prec@5 73.438 (74.633)
Epoch: [35][10450/14090]	Time 0.771 (0.771)	Data 0.001 (0.001)	Loss 2.1954 (2.2313)	Prec@1 52.344 (44.040)	Prec@5 77.344 (74.633)
Epoch: [35][10460/14090]	Time 0.858 (0.771)	Data 0.001 (0.001)	Loss 2.2253 (2.2313)	Prec@1 42.188 (44.040)	Prec@5 76.562 (74.633)
Epoch: [35][10470/14090]	Time 0.737 (0.771)	Data 0.001 (0.001)	Loss 2.1454 (2.2314)	Prec@1 40.625 (44.039)	Prec@5 76.562 (74.633)
Epoch: [35][10480/14090]	Time 0.753 (0.771)	Data 0.002 (0.001)	Loss 2.0043 (2.2314)	Prec@1 50.781 (44.040)	Prec@5 79.688 (74.632)
Epoch: [35][10490/14090]	Time 0.762 (0.771)	Data 0.001 (0.001)	Loss 2.5537 (2.2313)	Prec@1 37.500 (44.041)	Prec@5 71.875 (74.633)
Epoch: [35][10500/14090]	Time 0.779 (0.771)	Data 0.001 (0.001)	Loss 2.2623 (2.2313)	Prec@1 41.406 (44.041)	Prec@5 73.438 (74.632)
Epoch: [35][10510/14090]	Time 0.748 (0.771)	Data 0.001 (0.001)	Loss 2.1827 (2.2313)	Prec@1 45.312 (44.040)	Prec@5 74.219 (74.632)
Epoch: [35][10520/14090]	Time 0.730 (0.771)	Data 0.001 (0.001)	Loss 2.1527 (2.2313)	Prec@1 43.750 (44.042)	Prec@5 76.562 (74.633)
Epoch: [35][10530/14090]	Time 1.030 (0.771)	Data 0.001 (0.001)	Loss 2.1319 (2.2313)	Prec@1 46.875 (44.041)	Prec@5 78.906 (74.633)
Epoch: [35][10540/14090]	Time 0.726 (0.771)	Data 0.001 (0.001)	Loss 2.0357 (2.2313)	Prec@1 44.531 (44.043)	Prec@5 78.906 (74.634)
Epoch: [35][10550/14090]	Time 0.759 (0.771)	Data 0.001 (0.001)	Loss 2.2548 (2.2312)	Prec@1 43.750 (44.045)	Prec@5 72.656 (74.635)
Epoch: [35][10560/14090]	Time 0.736 (0.771)	Data 0.001 (0.001)	Loss 2.5174 (2.2312)	Prec@1 35.938 (44.044)	Prec@5 69.531 (74.636)
Epoch: [35][10570/14090]	Time 0.779 (0.771)	Data 0.001 (0.001)	Loss 2.1549 (2.2312)	Prec@1 39.844 (44.043)	Prec@5 77.344 (74.637)
Epoch: [35][10580/14090]	Time 0.729 (0.771)	Data 0.001 (0.001)	Loss 2.3593 (2.2312)	Prec@1 41.406 (44.041)	Prec@5 72.656 (74.635)
Epoch: [35][10590/14090]	Time 0.718 (0.771)	Data 0.001 (0.001)	Loss 2.2254 (2.2312)	Prec@1 39.844 (44.042)	Prec@5 74.219 (74.636)
Epoch: [35][10600/14090]	Time 0.908 (0.771)	Data 0.001 (0.001)	Loss 2.2455 (2.2312)	Prec@1 45.312 (44.041)	Prec@5 74.219 (74.635)
Epoch: [35][10610/14090]	Time 0.732 (0.771)	Data 0.001 (0.001)	Loss 2.6289 (2.2313)	Prec@1 40.625 (44.041)	Prec@5 69.531 (74.635)
Epoch: [35][10620/14090]	Time 0.731 (0.771)	Data 0.001 (0.001)	Loss 2.2186 (2.2313)	Prec@1 37.500 (44.039)	Prec@5 78.125 (74.633)
Epoch: [35][10630/14090]	Time 0.745 (0.771)	Data 0.001 (0.001)	Loss 2.0787 (2.2313)	Prec@1 45.312 (44.040)	Prec@5 81.250 (74.634)
Epoch: [35][10640/14090]	Time 0.755 (0.771)	Data 0.001 (0.001)	Loss 2.3767 (2.2313)	Prec@1 41.406 (44.040)	Prec@5 72.656 (74.637)
Epoch: [35][10650/14090]	Time 0.734 (0.771)	Data 0.001 (0.001)	Loss 2.1719 (2.2313)	Prec@1 44.531 (44.038)	Prec@5 78.906 (74.637)
Epoch: [35][10660/14090]	Time 0.738 (0.771)	Data 0.003 (0.001)	Loss 2.4021 (2.2313)	Prec@1 37.500 (44.039)	Prec@5 71.875 (74.636)
Epoch: [35][10670/14090]	Time 0.865 (0.771)	Data 0.001 (0.001)	Loss 1.9248 (2.2312)	Prec@1 50.000 (44.039)	Prec@5 77.344 (74.638)
Epoch: [35][10680/14090]	Time 0.752 (0.771)	Data 0.001 (0.001)	Loss 2.1776 (2.2312)	Prec@1 45.312 (44.039)	Prec@5 73.438 (74.638)
Epoch: [35][10690/14090]	Time 0.751 (0.771)	Data 0.001 (0.001)	Loss 2.0369 (2.2312)	Prec@1 47.656 (44.040)	Prec@5 78.125 (74.638)
Epoch: [35][10700/14090]	Time 0.734 (0.771)	Data 0.001 (0.001)	Loss 2.1767 (2.2312)	Prec@1 46.875 (44.039)	Prec@5 78.125 (74.638)
Epoch: [35][10710/14090]	Time 0.758 (0.771)	Data 0.001 (0.001)	Loss 2.3402 (2.2312)	Prec@1 43.750 (44.040)	Prec@5 73.438 (74.638)
Epoch: [35][10720/14090]	Time 0.751 (0.771)	Data 0.001 (0.001)	Loss 2.0850 (2.2311)	Prec@1 47.656 (44.040)	Prec@5 73.438 (74.639)
Epoch: [35][10730/14090]	Time 0.746 (0.771)	Data 0.001 (0.001)	Loss 2.1054 (2.2311)	Prec@1 46.094 (44.040)	Prec@5 78.125 (74.638)
Epoch: [35][10740/14090]	Time 0.859 (0.771)	Data 0.001 (0.001)	Loss 2.0453 (2.2311)	Prec@1 46.875 (44.039)	Prec@5 80.469 (74.639)
Epoch: [35][10750/14090]	Time 0.731 (0.771)	Data 0.001 (0.001)	Loss 2.2262 (2.2311)	Prec@1 46.875 (44.039)	Prec@5 75.000 (74.640)
Epoch: [35][10760/14090]	Time 0.727 (0.771)	Data 0.001 (0.001)	Loss 2.1623 (2.2310)	Prec@1 48.438 (44.042)	Prec@5 75.781 (74.641)
Epoch: [35][10770/14090]	Time 0.768 (0.771)	Data 0.001 (0.001)	Loss 2.2164 (2.2311)	Prec@1 39.844 (44.040)	Prec@5 74.219 (74.639)
Epoch: [35][10780/14090]	Time 0.734 (0.771)	Data 0.001 (0.001)	Loss 2.2355 (2.2310)	Prec@1 47.656 (44.041)	Prec@5 75.781 (74.641)
Epoch: [35][10790/14090]	Time 0.730 (0.771)	Data 0.001 (0.001)	Loss 1.9836 (2.2310)	Prec@1 50.000 (44.041)	Prec@5 76.562 (74.641)
Epoch: [35][10800/14090]	Time 0.777 (0.771)	Data 0.001 (0.001)	Loss 2.6104 (2.2310)	Prec@1 42.188 (44.044)	Prec@5 69.531 (74.642)
Epoch: [35][10810/14090]	Time 0.884 (0.771)	Data 0.001 (0.001)	Loss 2.1930 (2.2310)	Prec@1 49.219 (44.044)	Prec@5 75.000 (74.642)
Epoch: [35][10820/14090]	Time 0.727 (0.771)	Data 0.001 (0.001)	Loss 2.1900 (2.2310)	Prec@1 45.312 (44.044)	Prec@5 77.344 (74.644)
Epoch: [35][10830/14090]	Time 0.794 (0.771)	Data 0.001 (0.001)	Loss 2.1314 (2.2309)	Prec@1 45.312 (44.045)	Prec@5 72.656 (74.646)
Epoch: [35][10840/14090]	Time 0.774 (0.771)	Data 0.001 (0.001)	Loss 2.0611 (2.2309)	Prec@1 44.531 (44.045)	Prec@5 75.781 (74.646)
Epoch: [35][10850/14090]	Time 0.740 (0.771)	Data 0.001 (0.001)	Loss 2.3571 (2.2309)	Prec@1 45.312 (44.043)	Prec@5 71.875 (74.645)
Epoch: [35][10860/14090]	Time 0.732 (0.771)	Data 0.001 (0.001)	Loss 2.5031 (2.2310)	Prec@1 35.938 (44.042)	Prec@5 67.969 (74.645)
Epoch: [35][10870/14090]	Time 0.752 (0.771)	Data 0.001 (0.001)	Loss 1.9945 (2.2310)	Prec@1 45.312 (44.041)	Prec@5 79.688 (74.644)
Epoch: [35][10880/14090]	Time 0.869 (0.771)	Data 0.001 (0.001)	Loss 2.1722 (2.2310)	Prec@1 40.625 (44.040)	Prec@5 77.344 (74.645)
Epoch: [35][10890/14090]	Time 0.760 (0.771)	Data 0.001 (0.001)	Loss 2.3602 (2.2311)	Prec@1 40.625 (44.039)	Prec@5 75.000 (74.645)
Epoch: [35][10900/14090]	Time 0.737 (0.771)	Data 0.001 (0.001)	Loss 2.1512 (2.2311)	Prec@1 46.094 (44.037)	Prec@5 77.344 (74.645)
Epoch: [35][10910/14090]	Time 0.725 (0.771)	Data 0.001 (0.001)	Loss 2.2548 (2.2311)	Prec@1 45.312 (44.036)	Prec@5 71.875 (74.643)
Epoch: [35][10920/14090]	Time 0.751 (0.771)	Data 0.001 (0.001)	Loss 2.3690 (2.2312)	Prec@1 41.406 (44.034)	Prec@5 70.312 (74.642)
Epoch: [35][10930/14090]	Time 0.739 (0.771)	Data 0.001 (0.001)	Loss 2.1875 (2.2313)	Prec@1 46.094 (44.032)	Prec@5 77.344 (74.641)
Epoch: [35][10940/14090]	Time 0.739 (0.771)	Data 0.001 (0.001)	Loss 2.1144 (2.2314)	Prec@1 45.312 (44.032)	Prec@5 74.219 (74.641)
Epoch: [35][10950/14090]	Time 0.898 (0.771)	Data 0.001 (0.001)	Loss 2.3676 (2.2314)	Prec@1 37.500 (44.031)	Prec@5 69.531 (74.640)
Epoch: [35][10960/14090]	Time 0.739 (0.771)	Data 0.001 (0.001)	Loss 1.8386 (2.2314)	Prec@1 49.219 (44.031)	Prec@5 85.938 (74.642)
Epoch: [35][10970/14090]	Time 0.779 (0.771)	Data 0.001 (0.001)	Loss 2.2998 (2.2314)	Prec@1 41.406 (44.029)	Prec@5 74.219 (74.642)
Epoch: [35][10980/14090]	Time 0.765 (0.771)	Data 0.001 (0.001)	Loss 2.2164 (2.2314)	Prec@1 46.094 (44.028)	Prec@5 75.781 (74.641)
Epoch: [35][10990/14090]	Time 0.733 (0.771)	Data 0.001 (0.001)	Loss 2.3605 (2.2315)	Prec@1 43.750 (44.027)	Prec@5 71.875 (74.640)
Epoch: [35][11000/14090]	Time 0.734 (0.771)	Data 0.001 (0.001)	Loss 2.2855 (2.2316)	Prec@1 42.969 (44.026)	Prec@5 71.094 (74.637)
Epoch: [35][11010/14090]	Time 0.771 (0.771)	Data 0.001 (0.001)	Loss 2.1479 (2.2315)	Prec@1 48.438 (44.027)	Prec@5 75.000 (74.638)
Epoch: [35][11020/14090]	Time 0.872 (0.771)	Data 0.001 (0.001)	Loss 2.2350 (2.2316)	Prec@1 44.531 (44.026)	Prec@5 72.656 (74.636)
Epoch: [35][11030/14090]	Time 0.780 (0.771)	Data 0.001 (0.001)	Loss 2.3253 (2.2317)	Prec@1 39.844 (44.026)	Prec@5 73.438 (74.635)
Epoch: [35][11040/14090]	Time 0.730 (0.771)	Data 0.001 (0.001)	Loss 2.4629 (2.2317)	Prec@1 39.062 (44.024)	Prec@5 65.625 (74.633)
Epoch: [35][11050/14090]	Time 0.769 (0.771)	Data 0.001 (0.001)	Loss 2.2241 (2.2317)	Prec@1 46.875 (44.027)	Prec@5 74.219 (74.633)
Epoch: [35][11060/14090]	Time 0.727 (0.771)	Data 0.001 (0.001)	Loss 2.3753 (2.2317)	Prec@1 38.281 (44.027)	Prec@5 75.000 (74.634)
Epoch: [35][11070/14090]	Time 0.750 (0.771)	Data 0.001 (0.001)	Loss 2.1842 (2.2317)	Prec@1 41.406 (44.028)	Prec@5 75.000 (74.634)
Epoch: [35][11080/14090]	Time 0.750 (0.771)	Data 0.002 (0.001)	Loss 2.2299 (2.2316)	Prec@1 45.312 (44.028)	Prec@5 76.562 (74.634)
Epoch: [35][11090/14090]	Time 0.858 (0.771)	Data 0.001 (0.001)	Loss 2.3843 (2.2316)	Prec@1 39.844 (44.027)	Prec@5 73.438 (74.634)
Epoch: [35][11100/14090]	Time 0.728 (0.771)	Data 0.001 (0.001)	Loss 2.0615 (2.2316)	Prec@1 42.969 (44.027)	Prec@5 78.125 (74.634)
Epoch: [35][11110/14090]	Time 0.730 (0.771)	Data 0.001 (0.001)	Loss 2.1279 (2.2316)	Prec@1 46.875 (44.026)	Prec@5 72.656 (74.635)
Epoch: [35][11120/14090]	Time 0.739 (0.771)	Data 0.001 (0.001)	Loss 2.4030 (2.2317)	Prec@1 39.062 (44.026)	Prec@5 71.094 (74.634)
Epoch: [35][11130/14090]	Time 0.751 (0.771)	Data 0.001 (0.001)	Loss 2.4279 (2.2317)	Prec@1 37.500 (44.026)	Prec@5 70.312 (74.634)
Epoch: [35][11140/14090]	Time 0.768 (0.771)	Data 0.001 (0.001)	Loss 2.2161 (2.2317)	Prec@1 44.531 (44.025)	Prec@5 75.781 (74.634)
Epoch: [35][11150/14090]	Time 0.747 (0.771)	Data 0.001 (0.001)	Loss 2.3823 (2.2317)	Prec@1 45.312 (44.026)	Prec@5 70.312 (74.633)
Epoch: [35][11160/14090]	Time 0.916 (0.771)	Data 0.001 (0.001)	Loss 2.1015 (2.2317)	Prec@1 43.750 (44.025)	Prec@5 82.031 (74.632)
Epoch: [35][11170/14090]	Time 0.744 (0.771)	Data 0.001 (0.001)	Loss 2.2533 (2.2317)	Prec@1 38.281 (44.026)	Prec@5 73.438 (74.631)
Epoch: [35][11180/14090]	Time 0.752 (0.771)	Data 0.001 (0.001)	Loss 2.2336 (2.2317)	Prec@1 47.656 (44.027)	Prec@5 74.219 (74.631)
Epoch: [35][11190/14090]	Time 0.738 (0.771)	Data 0.001 (0.001)	Loss 2.2096 (2.2318)	Prec@1 42.188 (44.027)	Prec@5 73.438 (74.629)
Epoch: [35][11200/14090]	Time 0.784 (0.771)	Data 0.001 (0.001)	Loss 2.2579 (2.2319)	Prec@1 46.094 (44.025)	Prec@5 72.656 (74.627)
Epoch: [35][11210/14090]	Time 0.732 (0.771)	Data 0.001 (0.001)	Loss 2.4239 (2.2318)	Prec@1 33.594 (44.024)	Prec@5 74.219 (74.629)
Epoch: [35][11220/14090]	Time 0.762 (0.771)	Data 0.001 (0.001)	Loss 2.0863 (2.2319)	Prec@1 47.656 (44.022)	Prec@5 79.688 (74.629)
Epoch: [35][11230/14090]	Time 1.017 (0.771)	Data 0.001 (0.001)	Loss 2.4588 (2.2319)	Prec@1 37.500 (44.021)	Prec@5 74.219 (74.629)
Epoch: [35][11240/14090]	Time 0.732 (0.771)	Data 0.001 (0.001)	Loss 2.0691 (2.2319)	Prec@1 49.219 (44.023)	Prec@5 75.000 (74.629)
Epoch: [35][11250/14090]	Time 0.748 (0.771)	Data 0.001 (0.001)	Loss 2.2681 (2.2319)	Prec@1 42.969 (44.022)	Prec@5 76.562 (74.629)
Epoch: [35][11260/14090]	Time 0.785 (0.771)	Data 0.001 (0.001)	Loss 2.4967 (2.2319)	Prec@1 37.500 (44.022)	Prec@5 69.531 (74.628)
Epoch: [35][11270/14090]	Time 0.744 (0.771)	Data 0.001 (0.001)	Loss 2.4199 (2.2319)	Prec@1 37.500 (44.023)	Prec@5 73.438 (74.628)
Epoch: [35][11280/14090]	Time 0.754 (0.771)	Data 0.001 (0.001)	Loss 1.9383 (2.2319)	Prec@1 51.562 (44.023)	Prec@5 77.344 (74.626)
Epoch: [35][11290/14090]	Time 0.740 (0.771)	Data 0.001 (0.001)	Loss 2.0736 (2.2319)	Prec@1 44.531 (44.023)	Prec@5 78.125 (74.626)
Epoch: [35][11300/14090]	Time 0.910 (0.771)	Data 0.001 (0.001)	Loss 2.3736 (2.2319)	Prec@1 42.188 (44.024)	Prec@5 75.781 (74.626)
Epoch: [35][11310/14090]	Time 0.780 (0.771)	Data 0.001 (0.001)	Loss 2.0194 (2.2318)	Prec@1 49.219 (44.026)	Prec@5 76.562 (74.627)
Epoch: [35][11320/14090]	Time 0.764 (0.771)	Data 0.001 (0.001)	Loss 2.1633 (2.2318)	Prec@1 43.750 (44.025)	Prec@5 72.656 (74.626)
Epoch: [35][11330/14090]	Time 0.776 (0.771)	Data 0.001 (0.001)	Loss 2.2909 (2.2318)	Prec@1 47.656 (44.026)	Prec@5 71.094 (74.628)
Epoch: [35][11340/14090]	Time 0.758 (0.771)	Data 0.001 (0.001)	Loss 2.2168 (2.2318)	Prec@1 37.500 (44.026)	Prec@5 75.781 (74.629)
Epoch: [35][11350/14090]	Time 0.744 (0.771)	Data 0.001 (0.001)	Loss 2.4082 (2.2318)	Prec@1 45.312 (44.027)	Prec@5 72.656 (74.629)
Epoch: [35][11360/14090]	Time 0.752 (0.771)	Data 0.001 (0.001)	Loss 2.0776 (2.2318)	Prec@1 39.062 (44.025)	Prec@5 81.250 (74.628)
Epoch: [35][11370/14090]	Time 0.866 (0.771)	Data 0.001 (0.001)	Loss 2.3519 (2.2318)	Prec@1 36.719 (44.024)	Prec@5 74.219 (74.628)
Epoch: [35][11380/14090]	Time 0.753 (0.771)	Data 0.001 (0.001)	Loss 2.2560 (2.2318)	Prec@1 49.219 (44.028)	Prec@5 75.000 (74.629)
Epoch: [35][11390/14090]	Time 0.758 (0.771)	Data 0.001 (0.001)	Loss 2.2764 (2.2317)	Prec@1 43.750 (44.028)	Prec@5 67.969 (74.629)
Epoch: [35][11400/14090]	Time 0.744 (0.771)	Data 0.001 (0.001)	Loss 2.6107 (2.2317)	Prec@1 38.281 (44.026)	Prec@5 66.406 (74.628)
Epoch: [35][11410/14090]	Time 0.746 (0.771)	Data 0.001 (0.001)	Loss 1.9866 (2.2317)	Prec@1 53.906 (44.029)	Prec@5 77.344 (74.629)
Epoch: [35][11420/14090]	Time 0.754 (0.771)	Data 0.001 (0.001)	Loss 2.3005 (2.2317)	Prec@1 37.500 (44.028)	Prec@5 72.656 (74.631)
Epoch: [35][11430/14090]	Time 0.739 (0.771)	Data 0.001 (0.001)	Loss 2.5569 (2.2317)	Prec@1 32.031 (44.027)	Prec@5 66.406 (74.631)
Epoch: [35][11440/14090]	Time 0.862 (0.771)	Data 0.001 (0.001)	Loss 2.1895 (2.2316)	Prec@1 53.125 (44.028)	Prec@5 72.656 (74.631)
Epoch: [35][11450/14090]	Time 0.748 (0.771)	Data 0.001 (0.001)	Loss 2.1482 (2.2317)	Prec@1 47.656 (44.028)	Prec@5 77.344 (74.632)
Epoch: [35][11460/14090]	Time 0.737 (0.771)	Data 0.001 (0.001)	Loss 2.2762 (2.2317)	Prec@1 42.969 (44.028)	Prec@5 75.781 (74.631)
Epoch: [35][11470/14090]	Time 0.770 (0.771)	Data 0.001 (0.001)	Loss 2.1911 (2.2317)	Prec@1 42.188 (44.028)	Prec@5 71.094 (74.630)
Epoch: [35][11480/14090]	Time 0.720 (0.771)	Data 0.001 (0.001)	Loss 2.4052 (2.2317)	Prec@1 39.844 (44.029)	Prec@5 72.656 (74.631)
Epoch: [35][11490/14090]	Time 0.727 (0.771)	Data 0.001 (0.001)	Loss 2.3060 (2.2316)	Prec@1 44.531 (44.030)	Prec@5 74.219 (74.632)
Epoch: [35][11500/14090]	Time 0.737 (0.771)	Data 0.001 (0.001)	Loss 2.1371 (2.2317)	Prec@1 42.969 (44.028)	Prec@5 77.344 (74.632)
Epoch: [35][11510/14090]	Time 0.865 (0.771)	Data 0.001 (0.001)	Loss 2.2597 (2.2317)	Prec@1 44.531 (44.028)	Prec@5 69.531 (74.630)
Epoch: [35][11520/14090]	Time 0.776 (0.771)	Data 0.001 (0.001)	Loss 2.1635 (2.2317)	Prec@1 43.750 (44.028)	Prec@5 75.000 (74.629)
Epoch: [35][11530/14090]	Time 0.772 (0.771)	Data 0.001 (0.001)	Loss 2.1521 (2.2317)	Prec@1 41.406 (44.029)	Prec@5 74.219 (74.630)
Epoch: [35][11540/14090]	Time 0.777 (0.771)	Data 0.001 (0.001)	Loss 1.7935 (2.2316)	Prec@1 53.906 (44.029)	Prec@5 85.156 (74.631)
Epoch: [35][11550/14090]	Time 0.786 (0.771)	Data 0.001 (0.001)	Loss 2.1430 (2.2317)	Prec@1 42.969 (44.027)	Prec@5 79.688 (74.631)
Epoch: [35][11560/14090]	Time 0.734 (0.771)	Data 0.001 (0.001)	Loss 2.1783 (2.2318)	Prec@1 39.844 (44.025)	Prec@5 71.094 (74.630)
Epoch: [35][11570/14090]	Time 0.735 (0.771)	Data 0.001 (0.001)	Loss 2.1174 (2.2318)	Prec@1 46.875 (44.024)	Prec@5 73.438 (74.630)
Epoch: [35][11580/14090]	Time 0.886 (0.771)	Data 0.001 (0.001)	Loss 2.1871 (2.2318)	Prec@1 46.875 (44.024)	Prec@5 75.000 (74.629)
Epoch: [35][11590/14090]	Time 0.757 (0.771)	Data 0.001 (0.001)	Loss 2.3009 (2.2318)	Prec@1 47.656 (44.024)	Prec@5 72.656 (74.628)
Epoch: [35][11600/14090]	Time 0.735 (0.771)	Data 0.001 (0.001)	Loss 2.3751 (2.2319)	Prec@1 48.438 (44.024)	Prec@5 75.000 (74.627)
Epoch: [35][11610/14090]	Time 0.760 (0.771)	Data 0.001 (0.001)	Loss 2.1257 (2.2319)	Prec@1 47.656 (44.023)	Prec@5 82.031 (74.629)
Epoch: [35][11620/14090]	Time 0.742 (0.771)	Data 0.001 (0.001)	Loss 2.3721 (2.2320)	Prec@1 40.625 (44.021)	Prec@5 68.750 (74.627)
Epoch: [35][11630/14090]	Time 0.746 (0.771)	Data 0.001 (0.001)	Loss 1.9868 (2.2320)	Prec@1 49.219 (44.022)	Prec@5 79.688 (74.628)
Epoch: [35][11640/14090]	Time 0.767 (0.771)	Data 0.002 (0.001)	Loss 2.1433 (2.2319)	Prec@1 43.750 (44.024)	Prec@5 78.906 (74.630)
Epoch: [35][11650/14090]	Time 0.932 (0.771)	Data 0.001 (0.001)	Loss 2.3085 (2.2319)	Prec@1 37.500 (44.024)	Prec@5 75.000 (74.630)
Epoch: [35][11660/14090]	Time 0.728 (0.771)	Data 0.001 (0.001)	Loss 2.0332 (2.2318)	Prec@1 45.312 (44.025)	Prec@5 81.250 (74.630)
Epoch: [35][11670/14090]	Time 0.790 (0.771)	Data 0.001 (0.001)	Loss 2.1431 (2.2318)	Prec@1 46.094 (44.026)	Prec@5 75.000 (74.631)
Epoch: [35][11680/14090]	Time 0.733 (0.771)	Data 0.001 (0.001)	Loss 2.2704 (2.2318)	Prec@1 41.406 (44.028)	Prec@5 75.000 (74.631)
Epoch: [35][11690/14090]	Time 0.736 (0.771)	Data 0.001 (0.001)	Loss 2.4075 (2.2317)	Prec@1 45.312 (44.030)	Prec@5 76.562 (74.631)
Epoch: [35][11700/14090]	Time 0.742 (0.771)	Data 0.001 (0.001)	Loss 2.3155 (2.2318)	Prec@1 40.625 (44.030)	Prec@5 71.094 (74.630)
Epoch: [35][11710/14090]	Time 0.740 (0.771)	Data 0.001 (0.001)	Loss 2.2319 (2.2318)	Prec@1 42.969 (44.028)	Prec@5 78.125 (74.631)
Epoch: [35][11720/14090]	Time 0.879 (0.771)	Data 0.001 (0.001)	Loss 2.1997 (2.2318)	Prec@1 46.875 (44.029)	Prec@5 76.562 (74.631)
Epoch: [35][11730/14090]	Time 0.751 (0.771)	Data 0.001 (0.001)	Loss 2.2057 (2.2318)	Prec@1 46.875 (44.028)	Prec@5 71.094 (74.630)
Epoch: [35][11740/14090]	Time 0.786 (0.771)	Data 0.001 (0.001)	Loss 2.1101 (2.2318)	Prec@1 46.875 (44.027)	Prec@5 75.781 (74.630)
Epoch: [35][11750/14090]	Time 0.749 (0.771)	Data 0.001 (0.001)	Loss 2.6612 (2.2319)	Prec@1 35.156 (44.025)	Prec@5 66.406 (74.629)
Epoch: [35][11760/14090]	Time 0.739 (0.771)	Data 0.002 (0.001)	Loss 2.2466 (2.2318)	Prec@1 43.750 (44.027)	Prec@5 75.781 (74.629)
Epoch: [35][11770/14090]	Time 0.738 (0.771)	Data 0.001 (0.001)	Loss 2.2867 (2.2319)	Prec@1 39.062 (44.025)	Prec@5 73.438 (74.628)
Epoch: [35][11780/14090]	Time 0.777 (0.771)	Data 0.001 (0.001)	Loss 2.2547 (2.2320)	Prec@1 44.531 (44.024)	Prec@5 78.125 (74.627)
Epoch: [35][11790/14090]	Time 0.914 (0.771)	Data 0.001 (0.001)	Loss 2.0673 (2.2319)	Prec@1 48.438 (44.025)	Prec@5 77.344 (74.629)
Epoch: [35][11800/14090]	Time 0.726 (0.771)	Data 0.001 (0.001)	Loss 2.0039 (2.2319)	Prec@1 52.344 (44.025)	Prec@5 77.344 (74.629)
Epoch: [35][11810/14090]	Time 0.734 (0.771)	Data 0.001 (0.001)	Loss 2.2058 (2.2319)	Prec@1 46.094 (44.024)	Prec@5 78.125 (74.630)
Epoch: [35][11820/14090]	Time 0.767 (0.771)	Data 0.001 (0.001)	Loss 2.2878 (2.2318)	Prec@1 42.969 (44.026)	Prec@5 76.562 (74.631)
Epoch: [35][11830/14090]	Time 0.756 (0.771)	Data 0.001 (0.001)	Loss 2.0853 (2.2318)	Prec@1 47.656 (44.025)	Prec@5 78.906 (74.632)
Epoch: [35][11840/14090]	Time 0.759 (0.771)	Data 0.001 (0.001)	Loss 2.2781 (2.2318)	Prec@1 42.188 (44.025)	Prec@5 72.656 (74.634)
Epoch: [35][11850/14090]	Time 0.762 (0.771)	Data 0.001 (0.001)	Loss 2.1585 (2.2317)	Prec@1 40.625 (44.024)	Prec@5 78.906 (74.634)
Epoch: [35][11860/14090]	Time 0.883 (0.771)	Data 0.001 (0.001)	Loss 2.1164 (2.2317)	Prec@1 42.969 (44.023)	Prec@5 76.562 (74.634)
Epoch: [35][11870/14090]	Time 0.734 (0.771)	Data 0.001 (0.001)	Loss 2.0527 (2.2318)	Prec@1 45.312 (44.021)	Prec@5 75.000 (74.632)
Epoch: [35][11880/14090]	Time 0.725 (0.771)	Data 0.001 (0.001)	Loss 2.1977 (2.2319)	Prec@1 43.750 (44.020)	Prec@5 74.219 (74.630)
Epoch: [35][11890/14090]	Time 0.758 (0.771)	Data 0.001 (0.001)	Loss 2.5601 (2.2319)	Prec@1 35.156 (44.019)	Prec@5 65.625 (74.630)
Epoch: [35][11900/14090]	Time 0.727 (0.771)	Data 0.001 (0.001)	Loss 2.2967 (2.2319)	Prec@1 46.094 (44.019)	Prec@5 70.312 (74.630)
Epoch: [35][11910/14090]	Time 0.755 (0.771)	Data 0.001 (0.001)	Loss 2.2391 (2.2319)	Prec@1 43.750 (44.018)	Prec@5 72.656 (74.629)
Epoch: [35][11920/14090]	Time 0.756 (0.771)	Data 0.001 (0.001)	Loss 2.2622 (2.2319)	Prec@1 35.156 (44.018)	Prec@5 76.562 (74.631)
Epoch: [35][11930/14090]	Time 0.873 (0.771)	Data 0.001 (0.001)	Loss 2.1064 (2.2319)	Prec@1 46.094 (44.018)	Prec@5 78.906 (74.630)
Epoch: [35][11940/14090]	Time 0.732 (0.771)	Data 0.001 (0.001)	Loss 1.9008 (2.2319)	Prec@1 49.219 (44.017)	Prec@5 82.031 (74.630)
Epoch: [35][11950/14090]	Time 0.728 (0.771)	Data 0.001 (0.001)	Loss 2.4262 (2.2320)	Prec@1 40.625 (44.014)	Prec@5 73.438 (74.630)
Epoch: [35][11960/14090]	Time 0.761 (0.771)	Data 0.001 (0.001)	Loss 2.1280 (2.2319)	Prec@1 49.219 (44.017)	Prec@5 77.344 (74.631)
Epoch: [35][11970/14090]	Time 0.757 (0.771)	Data 0.001 (0.001)	Loss 2.1113 (2.2320)	Prec@1 44.531 (44.017)	Prec@5 75.781 (74.629)
Epoch: [35][11980/14090]	Time 0.737 (0.771)	Data 0.001 (0.001)	Loss 2.5819 (2.2320)	Prec@1 34.375 (44.016)	Prec@5 67.188 (74.629)
Epoch: [35][11990/14090]	Time 0.759 (0.771)	Data 0.001 (0.001)	Loss 2.3287 (2.2321)	Prec@1 42.188 (44.015)	Prec@5 71.875 (74.628)
Epoch: [35][12000/14090]	Time 0.832 (0.771)	Data 0.001 (0.001)	Loss 2.0657 (2.2321)	Prec@1 46.094 (44.014)	Prec@5 73.438 (74.626)
Epoch: [35][12010/14090]	Time 0.717 (0.771)	Data 0.001 (0.001)	Loss 2.3071 (2.2322)	Prec@1 46.094 (44.014)	Prec@5 71.875 (74.624)
Epoch: [35][12020/14090]	Time 0.760 (0.771)	Data 0.002 (0.001)	Loss 2.1654 (2.2322)	Prec@1 46.094 (44.014)	Prec@5 76.562 (74.625)
Epoch: [35][12030/14090]	Time 0.727 (0.771)	Data 0.001 (0.001)	Loss 2.0989 (2.2322)	Prec@1 48.438 (44.013)	Prec@5 79.688 (74.625)
Epoch: [35][12040/14090]	Time 0.753 (0.771)	Data 0.001 (0.001)	Loss 2.1187 (2.2321)	Prec@1 43.750 (44.015)	Prec@5 75.781 (74.626)
Epoch: [35][12050/14090]	Time 0.732 (0.771)	Data 0.001 (0.001)	Loss 2.2787 (2.2322)	Prec@1 40.625 (44.013)	Prec@5 71.094 (74.625)
Epoch: [35][12060/14090]	Time 0.733 (0.771)	Data 0.001 (0.001)	Loss 2.3660 (2.2322)	Prec@1 41.406 (44.012)	Prec@5 71.875 (74.623)
Epoch: [35][12070/14090]	Time 0.986 (0.771)	Data 0.001 (0.001)	Loss 2.1277 (2.2323)	Prec@1 42.969 (44.011)	Prec@5 73.438 (74.621)
Epoch: [35][12080/14090]	Time 0.782 (0.771)	Data 0.001 (0.001)	Loss 2.3832 (2.2323)	Prec@1 42.969 (44.011)	Prec@5 73.438 (74.621)
Epoch: [35][12090/14090]	Time 0.738 (0.771)	Data 0.001 (0.001)	Loss 2.1723 (2.2323)	Prec@1 51.562 (44.009)	Prec@5 75.000 (74.620)
Epoch: [35][12100/14090]	Time 0.785 (0.771)	Data 0.001 (0.001)	Loss 2.3117 (2.2323)	Prec@1 42.969 (44.009)	Prec@5 75.000 (74.619)
Epoch: [35][12110/14090]	Time 0.756 (0.771)	Data 0.001 (0.001)	Loss 2.1697 (2.2324)	Prec@1 42.969 (44.007)	Prec@5 74.219 (74.618)
Epoch: [35][12120/14090]	Time 0.761 (0.771)	Data 0.001 (0.001)	Loss 2.2953 (2.2324)	Prec@1 34.375 (44.006)	Prec@5 73.438 (74.619)
Epoch: [35][12130/14090]	Time 0.771 (0.771)	Data 0.001 (0.001)	Loss 2.2300 (2.2323)	Prec@1 46.875 (44.007)	Prec@5 71.875 (74.620)
Epoch: [35][12140/14090]	Time 0.865 (0.771)	Data 0.001 (0.001)	Loss 2.2946 (2.2323)	Prec@1 42.188 (44.008)	Prec@5 71.875 (74.620)
Epoch: [35][12150/14090]	Time 0.733 (0.771)	Data 0.001 (0.001)	Loss 2.1533 (2.2322)	Prec@1 42.188 (44.009)	Prec@5 79.688 (74.621)
Epoch: [35][12160/14090]	Time 0.762 (0.771)	Data 0.001 (0.001)	Loss 2.1989 (2.2322)	Prec@1 44.531 (44.009)	Prec@5 72.656 (74.621)
Epoch: [35][12170/14090]	Time 0.746 (0.771)	Data 0.001 (0.001)	Loss 2.0324 (2.2323)	Prec@1 45.312 (44.007)	Prec@5 78.906 (74.621)
Epoch: [35][12180/14090]	Time 0.769 (0.771)	Data 0.001 (0.001)	Loss 2.5679 (2.2323)	Prec@1 36.719 (44.007)	Prec@5 70.312 (74.621)
Epoch: [35][12190/14090]	Time 0.757 (0.771)	Data 0.001 (0.001)	Loss 1.9076 (2.2323)	Prec@1 51.562 (44.009)	Prec@5 80.469 (74.621)
Epoch: [35][12200/14090]	Time 0.763 (0.771)	Data 0.001 (0.001)	Loss 2.2614 (2.2322)	Prec@1 43.750 (44.011)	Prec@5 73.438 (74.622)
Epoch: [35][12210/14090]	Time 0.930 (0.771)	Data 0.001 (0.001)	Loss 2.3616 (2.2322)	Prec@1 43.750 (44.011)	Prec@5 73.438 (74.622)
Epoch: [35][12220/14090]	Time 0.743 (0.771)	Data 0.001 (0.001)	Loss 2.5398 (2.2322)	Prec@1 41.406 (44.011)	Prec@5 69.531 (74.623)
Epoch: [35][12230/14090]	Time 0.746 (0.771)	Data 0.001 (0.001)	Loss 2.1832 (2.2322)	Prec@1 46.875 (44.010)	Prec@5 76.562 (74.623)
Epoch: [35][12240/14090]	Time 0.726 (0.771)	Data 0.001 (0.001)	Loss 2.3102 (2.2322)	Prec@1 36.719 (44.009)	Prec@5 73.438 (74.623)
Epoch: [35][12250/14090]	Time 0.735 (0.771)	Data 0.001 (0.001)	Loss 2.2298 (2.2323)	Prec@1 44.531 (44.006)	Prec@5 80.469 (74.622)
Epoch: [35][12260/14090]	Time 0.775 (0.771)	Data 0.001 (0.001)	Loss 2.4171 (2.2322)	Prec@1 43.750 (44.008)	Prec@5 71.875 (74.622)
Epoch: [35][12270/14090]	Time 0.744 (0.771)	Data 0.001 (0.001)	Loss 2.1418 (2.2322)	Prec@1 47.656 (44.008)	Prec@5 73.438 (74.621)
Epoch: [35][12280/14090]	Time 0.910 (0.771)	Data 0.001 (0.001)	Loss 2.2556 (2.2323)	Prec@1 46.875 (44.008)	Prec@5 75.781 (74.620)
Epoch: [35][12290/14090]	Time 0.774 (0.771)	Data 0.001 (0.001)	Loss 2.4089 (2.2324)	Prec@1 39.844 (44.006)	Prec@5 73.438 (74.619)
Epoch: [35][12300/14090]	Time 0.737 (0.771)	Data 0.001 (0.001)	Loss 2.2953 (2.2324)	Prec@1 43.750 (44.005)	Prec@5 75.781 (74.619)
Epoch: [35][12310/14090]	Time 0.743 (0.771)	Data 0.001 (0.001)	Loss 2.2436 (2.2324)	Prec@1 40.625 (44.004)	Prec@5 74.219 (74.620)
Epoch: [35][12320/14090]	Time 0.737 (0.771)	Data 0.001 (0.001)	Loss 2.5051 (2.2324)	Prec@1 42.188 (44.004)	Prec@5 67.188 (74.619)
Epoch: [35][12330/14090]	Time 0.732 (0.771)	Data 0.001 (0.001)	Loss 2.1287 (2.2324)	Prec@1 42.969 (44.004)	Prec@5 78.125 (74.618)
Epoch: [35][12340/14090]	Time 0.748 (0.771)	Data 0.001 (0.001)	Loss 2.3220 (2.2324)	Prec@1 38.281 (44.003)	Prec@5 73.438 (74.619)
Epoch: [35][12350/14090]	Time 0.864 (0.771)	Data 0.001 (0.001)	Loss 2.1120 (2.2323)	Prec@1 42.188 (44.004)	Prec@5 75.000 (74.620)
Epoch: [35][12360/14090]	Time 0.756 (0.771)	Data 0.001 (0.001)	Loss 2.1873 (2.2324)	Prec@1 48.438 (44.004)	Prec@5 76.562 (74.619)
Epoch: [35][12370/14090]	Time 0.746 (0.771)	Data 0.001 (0.001)	Loss 2.2905 (2.2324)	Prec@1 43.750 (44.004)	Prec@5 73.438 (74.619)
Epoch: [35][12380/14090]	Time 0.732 (0.771)	Data 0.001 (0.001)	Loss 2.1453 (2.2324)	Prec@1 49.219 (44.003)	Prec@5 76.562 (74.619)
Epoch: [35][12390/14090]	Time 0.760 (0.771)	Data 0.001 (0.001)	Loss 2.1318 (2.2324)	Prec@1 46.094 (44.003)	Prec@5 77.344 (74.619)
Epoch: [35][12400/14090]	Time 0.749 (0.771)	Data 0.001 (0.001)	Loss 1.9472 (2.2323)	Prec@1 53.906 (44.005)	Prec@5 78.906 (74.621)
Epoch: [35][12410/14090]	Time 0.741 (0.771)	Data 0.001 (0.001)	Loss 2.3625 (2.2323)	Prec@1 40.625 (44.006)	Prec@5 67.188 (74.623)
Epoch: [35][12420/14090]	Time 0.821 (0.771)	Data 0.001 (0.001)	Loss 2.3333 (2.2323)	Prec@1 46.875 (44.006)	Prec@5 72.656 (74.622)
Epoch: [35][12430/14090]	Time 0.778 (0.771)	Data 0.001 (0.001)	Loss 1.9829 (2.2323)	Prec@1 49.219 (44.006)	Prec@5 78.125 (74.622)
Epoch: [35][12440/14090]	Time 0.739 (0.771)	Data 0.001 (0.001)	Loss 2.3323 (2.2323)	Prec@1 45.312 (44.006)	Prec@5 69.531 (74.621)
Epoch: [35][12450/14090]	Time 0.739 (0.771)	Data 0.001 (0.001)	Loss 2.5614 (2.2324)	Prec@1 44.531 (44.005)	Prec@5 70.312 (74.619)
Epoch: [35][12460/14090]	Time 0.777 (0.771)	Data 0.001 (0.001)	Loss 2.2398 (2.2324)	Prec@1 42.188 (44.004)	Prec@5 71.875 (74.618)
Epoch: [35][12470/14090]	Time 0.764 (0.771)	Data 0.001 (0.001)	Loss 2.2284 (2.2325)	Prec@1 50.000 (44.002)	Prec@5 75.000 (74.616)
Epoch: [35][12480/14090]	Time 0.784 (0.771)	Data 0.001 (0.001)	Loss 2.0781 (2.2325)	Prec@1 50.781 (44.003)	Prec@5 72.656 (74.615)
Epoch: [35][12490/14090]	Time 0.849 (0.771)	Data 0.001 (0.001)	Loss 2.0633 (2.2325)	Prec@1 49.219 (44.003)	Prec@5 80.469 (74.614)
Epoch: [35][12500/14090]	Time 0.730 (0.771)	Data 0.001 (0.001)	Loss 2.5073 (2.2326)	Prec@1 36.719 (44.002)	Prec@5 66.406 (74.613)
Epoch: [35][12510/14090]	Time 0.744 (0.771)	Data 0.001 (0.001)	Loss 2.4317 (2.2326)	Prec@1 43.750 (44.002)	Prec@5 67.969 (74.614)
Epoch: [35][12520/14090]	Time 0.738 (0.771)	Data 0.001 (0.001)	Loss 2.1881 (2.2326)	Prec@1 44.531 (44.002)	Prec@5 71.094 (74.615)
Epoch: [35][12530/14090]	Time 0.740 (0.771)	Data 0.001 (0.001)	Loss 2.3230 (2.2325)	Prec@1 37.500 (44.003)	Prec@5 75.781 (74.616)
Epoch: [35][12540/14090]	Time 0.723 (0.771)	Data 0.001 (0.001)	Loss 2.2288 (2.2325)	Prec@1 44.531 (44.004)	Prec@5 73.438 (74.616)
Epoch: [35][12550/14090]	Time 0.776 (0.771)	Data 0.002 (0.001)	Loss 2.2205 (2.2325)	Prec@1 42.969 (44.004)	Prec@5 76.562 (74.616)
Epoch: [35][12560/14090]	Time 0.889 (0.771)	Data 0.001 (0.001)	Loss 2.3116 (2.2325)	Prec@1 43.750 (44.004)	Prec@5 72.656 (74.617)
Epoch: [35][12570/14090]	Time 0.759 (0.771)	Data 0.001 (0.001)	Loss 2.2524 (2.2324)	Prec@1 43.750 (44.005)	Prec@5 71.875 (74.617)
Epoch: [35][12580/14090]	Time 0.736 (0.771)	Data 0.001 (0.001)	Loss 2.5475 (2.2324)	Prec@1 32.812 (44.006)	Prec@5 66.406 (74.617)
Epoch: [35][12590/14090]	Time 0.745 (0.771)	Data 0.001 (0.001)	Loss 2.2334 (2.2325)	Prec@1 45.312 (44.004)	Prec@5 73.438 (74.616)
Epoch: [35][12600/14090]	Time 0.730 (0.771)	Data 0.001 (0.001)	Loss 2.2473 (2.2325)	Prec@1 41.406 (44.003)	Prec@5 75.781 (74.617)
Epoch: [35][12610/14090]	Time 0.730 (0.771)	Data 0.001 (0.001)	Loss 2.4155 (2.2325)	Prec@1 40.625 (44.002)	Prec@5 68.750 (74.616)
Epoch: [35][12620/14090]	Time 0.734 (0.771)	Data 0.001 (0.001)	Loss 2.4710 (2.2325)	Prec@1 39.062 (44.003)	Prec@5 70.312 (74.616)
Epoch: [35][12630/14090]	Time 0.979 (0.771)	Data 0.001 (0.001)	Loss 2.4952 (2.2326)	Prec@1 38.281 (44.002)	Prec@5 70.312 (74.614)
Epoch: [35][12640/14090]	Time 0.756 (0.771)	Data 0.001 (0.001)	Loss 2.4393 (2.2326)	Prec@1 37.500 (44.001)	Prec@5 75.781 (74.614)
Epoch: [35][12650/14090]	Time 0.773 (0.771)	Data 0.001 (0.001)	Loss 2.1880 (2.2326)	Prec@1 48.438 (44.001)	Prec@5 71.875 (74.614)
Epoch: [35][12660/14090]	Time 0.731 (0.771)	Data 0.001 (0.001)	Loss 1.9993 (2.2326)	Prec@1 53.906 (44.002)	Prec@5 82.812 (74.614)
Epoch: [35][12670/14090]	Time 0.760 (0.771)	Data 0.001 (0.001)	Loss 2.3889 (2.2326)	Prec@1 38.281 (44.000)	Prec@5 71.875 (74.613)
Epoch: [35][12680/14090]	Time 0.754 (0.771)	Data 0.002 (0.001)	Loss 2.3589 (2.2327)	Prec@1 42.188 (44.000)	Prec@5 69.531 (74.612)
Epoch: [35][12690/14090]	Time 0.750 (0.771)	Data 0.001 (0.001)	Loss 2.3883 (2.2327)	Prec@1 43.750 (43.999)	Prec@5 70.312 (74.613)
Epoch: [35][12700/14090]	Time 0.882 (0.771)	Data 0.001 (0.001)	Loss 2.4036 (2.2327)	Prec@1 46.094 (44.000)	Prec@5 72.656 (74.614)
Epoch: [35][12710/14090]	Time 0.755 (0.771)	Data 0.001 (0.001)	Loss 2.1709 (2.2326)	Prec@1 48.438 (44.001)	Prec@5 73.438 (74.614)
Epoch: [35][12720/14090]	Time 0.742 (0.771)	Data 0.001 (0.001)	Loss 2.3703 (2.2326)	Prec@1 41.406 (44.002)	Prec@5 74.219 (74.615)
Epoch: [35][12730/14090]	Time 0.727 (0.771)	Data 0.001 (0.001)	Loss 2.4593 (2.2327)	Prec@1 39.844 (44.000)	Prec@5 71.875 (74.612)
Epoch: [35][12740/14090]	Time 0.747 (0.771)	Data 0.001 (0.001)	Loss 2.1795 (2.2326)	Prec@1 45.312 (44.000)	Prec@5 75.000 (74.613)
Epoch: [35][12750/14090]	Time 0.726 (0.771)	Data 0.001 (0.001)	Loss 2.4246 (2.2327)	Prec@1 40.625 (43.999)	Prec@5 71.875 (74.613)
Epoch: [35][12760/14090]	Time 0.747 (0.771)	Data 0.001 (0.001)	Loss 2.3482 (2.2327)	Prec@1 37.500 (43.998)	Prec@5 75.000 (74.612)
Epoch: [35][12770/14090]	Time 0.873 (0.771)	Data 0.001 (0.001)	Loss 2.0933 (2.2327)	Prec@1 49.219 (43.996)	Prec@5 72.656 (74.611)
Epoch: [35][12780/14090]	Time 0.761 (0.771)	Data 0.001 (0.001)	Loss 2.4473 (2.2327)	Prec@1 37.500 (43.995)	Prec@5 67.188 (74.611)
Epoch: [35][12790/14090]	Time 0.757 (0.771)	Data 0.001 (0.001)	Loss 2.6192 (2.2328)	Prec@1 42.188 (43.994)	Prec@5 67.188 (74.610)
Epoch: [35][12800/14090]	Time 0.736 (0.771)	Data 0.001 (0.001)	Loss 2.6463 (2.2328)	Prec@1 39.062 (43.994)	Prec@5 64.844 (74.610)
Epoch: [35][12810/14090]	Time 0.736 (0.771)	Data 0.001 (0.001)	Loss 2.4193 (2.2328)	Prec@1 42.969 (43.995)	Prec@5 72.656 (74.609)
Epoch: [35][12820/14090]	Time 0.768 (0.771)	Data 0.001 (0.001)	Loss 2.3266 (2.2328)	Prec@1 41.406 (43.995)	Prec@5 71.094 (74.609)
Epoch: [35][12830/14090]	Time 0.754 (0.771)	Data 0.001 (0.001)	Loss 2.4322 (2.2328)	Prec@1 46.094 (43.996)	Prec@5 68.750 (74.610)
Epoch: [35][12840/14090]	Time 0.868 (0.771)	Data 0.001 (0.001)	Loss 2.1158 (2.2328)	Prec@1 52.344 (43.996)	Prec@5 77.344 (74.612)
Epoch: [35][12850/14090]	Time 0.723 (0.771)	Data 0.001 (0.001)	Loss 2.2367 (2.2328)	Prec@1 42.969 (43.995)	Prec@5 73.438 (74.612)
Epoch: [35][12860/14090]	Time 0.745 (0.771)	Data 0.001 (0.001)	Loss 2.5368 (2.2328)	Prec@1 34.375 (43.993)	Prec@5 69.531 (74.612)
Epoch: [35][12870/14090]	Time 0.774 (0.771)	Data 0.001 (0.001)	Loss 2.2227 (2.2328)	Prec@1 44.531 (43.992)	Prec@5 76.562 (74.612)
Epoch: [35][12880/14090]	Time 0.745 (0.771)	Data 0.001 (0.001)	Loss 2.1834 (2.2328)	Prec@1 41.406 (43.992)	Prec@5 77.344 (74.612)
Epoch: [35][12890/14090]	Time 0.736 (0.771)	Data 0.001 (0.001)	Loss 2.0582 (2.2328)	Prec@1 50.781 (43.992)	Prec@5 79.688 (74.612)
Epoch: [35][12900/14090]	Time 0.780 (0.771)	Data 0.001 (0.001)	Loss 1.8249 (2.2328)	Prec@1 50.781 (43.992)	Prec@5 88.281 (74.612)
Epoch: [35][12910/14090]	Time 0.898 (0.771)	Data 0.001 (0.001)	Loss 2.2735 (2.2328)	Prec@1 39.062 (43.991)	Prec@5 72.656 (74.611)
Epoch: [35][12920/14090]	Time 0.739 (0.771)	Data 0.001 (0.001)	Loss 2.3132 (2.2329)	Prec@1 42.969 (43.990)	Prec@5 74.219 (74.610)
Epoch: [35][12930/14090]	Time 0.755 (0.771)	Data 0.001 (0.001)	Loss 2.1407 (2.2328)	Prec@1 45.312 (43.990)	Prec@5 75.781 (74.610)
Epoch: [35][12940/14090]	Time 0.743 (0.771)	Data 0.001 (0.001)	Loss 2.3966 (2.2329)	Prec@1 39.844 (43.990)	Prec@5 72.656 (74.611)
Epoch: [35][12950/14090]	Time 0.785 (0.771)	Data 0.001 (0.001)	Loss 2.2189 (2.2328)	Prec@1 43.750 (43.991)	Prec@5 74.219 (74.612)
Epoch: [35][12960/14090]	Time 0.752 (0.771)	Data 0.001 (0.001)	Loss 2.0837 (2.2329)	Prec@1 48.438 (43.990)	Prec@5 76.562 (74.610)
Epoch: [35][12970/14090]	Time 0.739 (0.771)	Data 0.001 (0.001)	Loss 2.2490 (2.2329)	Prec@1 45.312 (43.989)	Prec@5 75.000 (74.609)
Epoch: [35][12980/14090]	Time 0.864 (0.771)	Data 0.001 (0.001)	Loss 2.1643 (2.2329)	Prec@1 48.438 (43.989)	Prec@5 78.906 (74.611)
Epoch: [35][12990/14090]	Time 0.773 (0.771)	Data 0.001 (0.001)	Loss 2.0460 (2.2329)	Prec@1 46.094 (43.990)	Prec@5 78.906 (74.611)
Epoch: [35][13000/14090]	Time 0.735 (0.771)	Data 0.001 (0.001)	Loss 2.1082 (2.2328)	Prec@1 48.438 (43.991)	Prec@5 75.000 (74.611)
Epoch: [35][13010/14090]	Time 0.732 (0.771)	Data 0.001 (0.001)	Loss 2.1132 (2.2328)	Prec@1 46.094 (43.991)	Prec@5 81.250 (74.613)
Epoch: [35][13020/14090]	Time 0.737 (0.771)	Data 0.001 (0.001)	Loss 2.2278 (2.2328)	Prec@1 44.531 (43.991)	Prec@5 75.000 (74.612)
Epoch: [35][13030/14090]	Time 0.728 (0.771)	Data 0.001 (0.001)	Loss 2.5409 (2.2329)	Prec@1 28.906 (43.989)	Prec@5 78.906 (74.613)
Epoch: [35][13040/14090]	Time 0.733 (0.771)	Data 0.001 (0.001)	Loss 2.1946 (2.2329)	Prec@1 49.219 (43.990)	Prec@5 72.656 (74.612)
Epoch: [35][13050/14090]	Time 0.860 (0.771)	Data 0.001 (0.001)	Loss 2.3833 (2.2329)	Prec@1 46.875 (43.990)	Prec@5 71.875 (74.612)
Epoch: [35][13060/14090]	Time 0.736 (0.771)	Data 0.001 (0.001)	Loss 2.3215 (2.2329)	Prec@1 39.062 (43.987)	Prec@5 73.438 (74.610)
Epoch: [35][13070/14090]	Time 0.724 (0.771)	Data 0.001 (0.001)	Loss 2.2959 (2.2330)	Prec@1 40.625 (43.986)	Prec@5 75.781 (74.609)
Epoch: [35][13080/14090]	Time 0.782 (0.771)	Data 0.001 (0.001)	Loss 2.4773 (2.2330)	Prec@1 40.625 (43.986)	Prec@5 71.875 (74.610)
Epoch: [35][13090/14090]	Time 0.770 (0.771)	Data 0.001 (0.001)	Loss 2.3621 (2.2330)	Prec@1 39.062 (43.985)	Prec@5 74.219 (74.610)
Epoch: [35][13100/14090]	Time 0.758 (0.771)	Data 0.001 (0.001)	Loss 1.8394 (2.2330)	Prec@1 59.375 (43.988)	Prec@5 80.469 (74.609)
Epoch: [35][13110/14090]	Time 0.771 (0.771)	Data 0.001 (0.001)	Loss 1.9881 (2.2329)	Prec@1 51.562 (43.991)	Prec@5 77.344 (74.611)
Epoch: [35][13120/14090]	Time 0.918 (0.771)	Data 0.001 (0.001)	Loss 2.0929 (2.2329)	Prec@1 46.094 (43.990)	Prec@5 77.344 (74.611)
Epoch: [35][13130/14090]	Time 0.744 (0.771)	Data 0.001 (0.001)	Loss 2.2111 (2.2330)	Prec@1 41.406 (43.989)	Prec@5 75.781 (74.612)
Epoch: [35][13140/14090]	Time 0.755 (0.771)	Data 0.001 (0.001)	Loss 2.1768 (2.2330)	Prec@1 43.750 (43.988)	Prec@5 77.344 (74.610)
Epoch: [35][13150/14090]	Time 0.736 (0.771)	Data 0.001 (0.001)	Loss 2.4335 (2.2330)	Prec@1 37.500 (43.989)	Prec@5 75.000 (74.611)
Epoch: [35][13160/14090]	Time 0.741 (0.771)	Data 0.001 (0.001)	Loss 1.7668 (2.2329)	Prec@1 59.375 (43.991)	Prec@5 81.250 (74.611)
Epoch: [35][13170/14090]	Time 0.763 (0.771)	Data 0.001 (0.001)	Loss 2.1372 (2.2330)	Prec@1 41.406 (43.989)	Prec@5 71.094 (74.611)
Epoch: [35][13180/14090]	Time 0.747 (0.771)	Data 0.001 (0.001)	Loss 2.2670 (2.2330)	Prec@1 37.500 (43.988)	Prec@5 73.438 (74.610)
Epoch: [35][13190/14090]	Time 1.010 (0.771)	Data 0.001 (0.001)	Loss 2.2361 (2.2331)	Prec@1 42.969 (43.987)	Prec@5 76.562 (74.610)
Epoch: [35][13200/14090]	Time 0.733 (0.771)	Data 0.001 (0.001)	Loss 2.0855 (2.2331)	Prec@1 47.656 (43.987)	Prec@5 81.250 (74.609)
Epoch: [35][13210/14090]	Time 0.736 (0.771)	Data 0.001 (0.001)	Loss 2.1308 (2.2331)	Prec@1 43.750 (43.986)	Prec@5 78.906 (74.608)
Epoch: [35][13220/14090]	Time 0.751 (0.771)	Data 0.001 (0.001)	Loss 2.1376 (2.2330)	Prec@1 46.094 (43.988)	Prec@5 76.562 (74.609)
Epoch: [35][13230/14090]	Time 0.762 (0.771)	Data 0.001 (0.001)	Loss 1.9219 (2.2330)	Prec@1 52.344 (43.989)	Prec@5 81.250 (74.609)
Epoch: [35][13240/14090]	Time 0.762 (0.771)	Data 0.001 (0.001)	Loss 2.2794 (2.2330)	Prec@1 49.219 (43.989)	Prec@5 78.125 (74.610)
Epoch: [35][13250/14090]	Time 0.720 (0.771)	Data 0.001 (0.001)	Loss 2.3767 (2.2329)	Prec@1 42.188 (43.991)	Prec@5 67.188 (74.610)
Epoch: [35][13260/14090]	Time 0.876 (0.771)	Data 0.001 (0.001)	Loss 2.2459 (2.2330)	Prec@1 39.062 (43.990)	Prec@5 74.219 (74.610)
Epoch: [35][13270/14090]	Time 0.791 (0.771)	Data 0.001 (0.001)	Loss 1.9935 (2.2330)	Prec@1 46.094 (43.990)	Prec@5 79.688 (74.610)
Epoch: [35][13280/14090]	Time 0.743 (0.771)	Data 0.001 (0.001)	Loss 2.1372 (2.2330)	Prec@1 48.438 (43.989)	Prec@5 73.438 (74.609)
Epoch: [35][13290/14090]	Time 0.726 (0.771)	Data 0.001 (0.001)	Loss 2.2448 (2.2330)	Prec@1 41.406 (43.990)	Prec@5 75.781 (74.609)
Epoch: [35][13300/14090]	Time 0.739 (0.771)	Data 0.001 (0.001)	Loss 2.2957 (2.2330)	Prec@1 41.406 (43.990)	Prec@5 73.438 (74.609)
Epoch: [35][13310/14090]	Time 0.760 (0.771)	Data 0.001 (0.001)	Loss 2.6114 (2.2331)	Prec@1 39.062 (43.988)	Prec@5 67.188 (74.608)
Epoch: [35][13320/14090]	Time 0.737 (0.771)	Data 0.001 (0.001)	Loss 2.3363 (2.2331)	Prec@1 39.062 (43.987)	Prec@5 72.656 (74.607)
Epoch: [35][13330/14090]	Time 0.875 (0.771)	Data 0.001 (0.001)	Loss 2.3067 (2.2331)	Prec@1 43.750 (43.987)	Prec@5 74.219 (74.607)
Epoch: [35][13340/14090]	Time 0.738 (0.771)	Data 0.001 (0.001)	Loss 2.3562 (2.2332)	Prec@1 46.875 (43.985)	Prec@5 73.438 (74.604)
Epoch: [35][13350/14090]	Time 0.754 (0.771)	Data 0.001 (0.001)	Loss 2.3697 (2.2333)	Prec@1 41.406 (43.984)	Prec@5 71.875 (74.604)
Epoch: [35][13360/14090]	Time 0.761 (0.771)	Data 0.001 (0.001)	Loss 2.1026 (2.2333)	Prec@1 47.656 (43.984)	Prec@5 75.000 (74.604)
Epoch: [35][13370/14090]	Time 0.743 (0.771)	Data 0.001 (0.001)	Loss 2.3164 (2.2333)	Prec@1 42.188 (43.982)	Prec@5 73.438 (74.603)
Epoch: [35][13380/14090]	Time 0.732 (0.771)	Data 0.001 (0.001)	Loss 2.2134 (2.2333)	Prec@1 41.406 (43.983)	Prec@5 75.781 (74.603)
Epoch: [35][13390/14090]	Time 0.772 (0.771)	Data 0.001 (0.001)	Loss 2.1893 (2.2332)	Prec@1 44.531 (43.984)	Prec@5 76.562 (74.604)
Epoch: [35][13400/14090]	Time 0.883 (0.771)	Data 0.001 (0.001)	Loss 1.9364 (2.2332)	Prec@1 51.562 (43.984)	Prec@5 78.906 (74.605)
Epoch: [35][13410/14090]	Time 0.748 (0.771)	Data 0.001 (0.001)	Loss 2.3958 (2.2332)	Prec@1 43.750 (43.982)	Prec@5 73.438 (74.605)
Epoch: [35][13420/14090]	Time 0.731 (0.771)	Data 0.001 (0.001)	Loss 2.4535 (2.2332)	Prec@1 39.844 (43.983)	Prec@5 66.406 (74.605)
Epoch: [35][13430/14090]	Time 0.767 (0.771)	Data 0.001 (0.001)	Loss 2.1373 (2.2331)	Prec@1 45.312 (43.984)	Prec@5 75.000 (74.605)
Epoch: [35][13440/14090]	Time 0.732 (0.771)	Data 0.001 (0.001)	Loss 2.4244 (2.2332)	Prec@1 39.844 (43.983)	Prec@5 69.531 (74.604)
Epoch: [35][13450/14090]	Time 0.758 (0.771)	Data 0.001 (0.001)	Loss 2.4008 (2.2332)	Prec@1 41.406 (43.983)	Prec@5 71.094 (74.603)
Epoch: [35][13460/14090]	Time 0.764 (0.771)	Data 0.001 (0.001)	Loss 2.1442 (2.2332)	Prec@1 48.438 (43.984)	Prec@5 78.125 (74.603)
Epoch: [35][13470/14090]	Time 0.859 (0.771)	Data 0.001 (0.001)	Loss 2.1765 (2.2332)	Prec@1 44.531 (43.984)	Prec@5 77.344 (74.603)
Epoch: [35][13480/14090]	Time 0.773 (0.771)	Data 0.001 (0.001)	Loss 2.1882 (2.2333)	Prec@1 45.312 (43.984)	Prec@5 73.438 (74.602)
Epoch: [35][13490/14090]	Time 0.749 (0.771)	Data 0.002 (0.001)	Loss 2.3612 (2.2333)	Prec@1 39.844 (43.984)	Prec@5 74.219 (74.601)
Epoch: [35][13500/14090]	Time 0.729 (0.771)	Data 0.001 (0.001)	Loss 2.4444 (2.2333)	Prec@1 37.500 (43.982)	Prec@5 72.656 (74.601)
Epoch: [35][13510/14090]	Time 0.750 (0.771)	Data 0.001 (0.001)	Loss 2.2000 (2.2334)	Prec@1 46.094 (43.981)	Prec@5 78.125 (74.600)
Epoch: [35][13520/14090]	Time 0.760 (0.771)	Data 0.002 (0.001)	Loss 2.5636 (2.2334)	Prec@1 34.375 (43.980)	Prec@5 70.312 (74.597)
Epoch: [35][13530/14090]	Time 0.720 (0.771)	Data 0.001 (0.001)	Loss 2.1716 (2.2334)	Prec@1 49.219 (43.981)	Prec@5 75.781 (74.598)
Epoch: [35][13540/14090]	Time 0.872 (0.771)	Data 0.001 (0.001)	Loss 2.2009 (2.2334)	Prec@1 42.188 (43.981)	Prec@5 78.125 (74.599)
Epoch: [35][13550/14090]	Time 0.790 (0.771)	Data 0.001 (0.001)	Loss 2.2546 (2.2334)	Prec@1 42.969 (43.981)	Prec@5 74.219 (74.599)
Epoch: [35][13560/14090]	Time 0.741 (0.771)	Data 0.001 (0.001)	Loss 2.0053 (2.2334)	Prec@1 49.219 (43.982)	Prec@5 78.906 (74.598)
Epoch: [35][13570/14090]	Time 0.738 (0.771)	Data 0.001 (0.001)	Loss 2.5560 (2.2334)	Prec@1 32.812 (43.983)	Prec@5 75.000 (74.599)
Epoch: [35][13580/14090]	Time 0.768 (0.771)	Data 0.001 (0.001)	Loss 2.4677 (2.2334)	Prec@1 40.625 (43.983)	Prec@5 67.969 (74.599)
Epoch: [35][13590/14090]	Time 0.740 (0.771)	Data 0.001 (0.001)	Loss 2.1918 (2.2333)	Prec@1 45.312 (43.984)	Prec@5 75.000 (74.599)
Epoch: [35][13600/14090]	Time 0.754 (0.771)	Data 0.001 (0.001)	Loss 2.2836 (2.2334)	Prec@1 43.750 (43.983)	Prec@5 67.188 (74.598)
Epoch: [35][13610/14090]	Time 0.876 (0.771)	Data 0.001 (0.001)	Loss 2.1704 (2.2333)	Prec@1 43.750 (43.985)	Prec@5 78.125 (74.599)
Epoch: [35][13620/14090]	Time 0.736 (0.771)	Data 0.001 (0.001)	Loss 2.0952 (2.2333)	Prec@1 47.656 (43.986)	Prec@5 75.781 (74.600)
Epoch: [35][13630/14090]	Time 0.781 (0.771)	Data 0.001 (0.001)	Loss 2.2307 (2.2333)	Prec@1 43.750 (43.986)	Prec@5 74.219 (74.600)
Epoch: [35][13640/14090]	Time 0.776 (0.771)	Data 0.001 (0.001)	Loss 2.2663 (2.2333)	Prec@1 40.625 (43.985)	Prec@5 75.781 (74.600)
Epoch: [35][13650/14090]	Time 0.729 (0.771)	Data 0.001 (0.001)	Loss 2.3781 (2.2334)	Prec@1 43.750 (43.986)	Prec@5 71.094 (74.600)
Epoch: [35][13660/14090]	Time 0.759 (0.771)	Data 0.001 (0.001)	Loss 2.6004 (2.2334)	Prec@1 39.844 (43.985)	Prec@5 69.531 (74.599)
Epoch: [35][13670/14090]	Time 0.778 (0.771)	Data 0.001 (0.001)	Loss 2.2966 (2.2334)	Prec@1 42.969 (43.984)	Prec@5 73.438 (74.599)
Epoch: [35][13680/14090]	Time 0.918 (0.771)	Data 0.001 (0.001)	Loss 1.9023 (2.2334)	Prec@1 46.094 (43.985)	Prec@5 83.594 (74.601)
Epoch: [35][13690/14090]	Time 0.753 (0.771)	Data 0.001 (0.001)	Loss 2.2122 (2.2334)	Prec@1 43.750 (43.983)	Prec@5 75.781 (74.599)
Epoch: [35][13700/14090]	Time 0.727 (0.771)	Data 0.001 (0.001)	Loss 2.1249 (2.2334)	Prec@1 47.656 (43.984)	Prec@5 78.906 (74.599)
Epoch: [35][13710/14090]	Time 0.777 (0.771)	Data 0.001 (0.001)	Loss 2.3040 (2.2334)	Prec@1 36.719 (43.984)	Prec@5 71.875 (74.599)
Epoch: [35][13720/14090]	Time 0.762 (0.771)	Data 0.001 (0.001)	Loss 2.2875 (2.2334)	Prec@1 39.844 (43.983)	Prec@5 75.000 (74.600)
Epoch: [35][13730/14090]	Time 0.750 (0.771)	Data 0.001 (0.001)	Loss 1.9860 (2.2335)	Prec@1 54.688 (43.981)	Prec@5 78.125 (74.599)
Epoch: [35][13740/14090]	Time 0.777 (0.771)	Data 0.001 (0.001)	Loss 2.4398 (2.2334)	Prec@1 41.406 (43.981)	Prec@5 70.312 (74.600)
Epoch: [35][13750/14090]	Time 0.855 (0.771)	Data 0.001 (0.001)	Loss 2.1762 (2.2334)	Prec@1 46.875 (43.980)	Prec@5 73.438 (74.600)
Epoch: [35][13760/14090]	Time 0.776 (0.771)	Data 0.001 (0.001)	Loss 2.0150 (2.2334)	Prec@1 41.406 (43.980)	Prec@5 78.906 (74.600)
Epoch: [35][13770/14090]	Time 0.748 (0.771)	Data 0.001 (0.001)	Loss 2.3067 (2.2334)	Prec@1 44.531 (43.981)	Prec@5 77.344 (74.601)
Epoch: [35][13780/14090]	Time 0.719 (0.771)	Data 0.001 (0.001)	Loss 2.1197 (2.2335)	Prec@1 43.750 (43.980)	Prec@5 76.562 (74.600)
Epoch: [35][13790/14090]	Time 0.737 (0.771)	Data 0.001 (0.001)	Loss 2.4372 (2.2335)	Prec@1 44.531 (43.981)	Prec@5 72.656 (74.601)
Epoch: [35][13800/14090]	Time 0.728 (0.771)	Data 0.001 (0.001)	Loss 2.1715 (2.2334)	Prec@1 39.844 (43.981)	Prec@5 80.469 (74.602)
Epoch: [35][13810/14090]	Time 0.731 (0.771)	Data 0.001 (0.001)	Loss 2.2289 (2.2334)	Prec@1 46.094 (43.981)	Prec@5 75.000 (74.605)
Epoch: [35][13820/14090]	Time 0.885 (0.771)	Data 0.001 (0.001)	Loss 2.1046 (2.2334)	Prec@1 50.000 (43.979)	Prec@5 73.438 (74.604)
Epoch: [35][13830/14090]	Time 0.761 (0.771)	Data 0.001 (0.001)	Loss 2.3565 (2.2334)	Prec@1 42.188 (43.977)	Prec@5 78.125 (74.604)
Epoch: [35][13840/14090]	Time 0.730 (0.771)	Data 0.001 (0.001)	Loss 2.2938 (2.2334)	Prec@1 39.844 (43.979)	Prec@5 75.000 (74.602)
Epoch: [35][13850/14090]	Time 0.759 (0.771)	Data 0.001 (0.001)	Loss 2.2938 (2.2335)	Prec@1 40.625 (43.977)	Prec@5 75.000 (74.603)
Epoch: [35][13860/14090]	Time 0.777 (0.771)	Data 0.001 (0.001)	Loss 2.1005 (2.2335)	Prec@1 48.438 (43.978)	Prec@5 76.562 (74.602)
Epoch: [35][13870/14090]	Time 0.804 (0.771)	Data 0.001 (0.001)	Loss 2.3796 (2.2334)	Prec@1 42.969 (43.978)	Prec@5 70.312 (74.603)
Epoch: [35][13880/14090]	Time 0.732 (0.771)	Data 0.001 (0.001)	Loss 2.1636 (2.2334)	Prec@1 41.406 (43.978)	Prec@5 74.219 (74.605)
Epoch: [35][13890/14090]	Time 0.872 (0.771)	Data 0.001 (0.001)	Loss 2.3433 (2.2335)	Prec@1 46.094 (43.978)	Prec@5 69.531 (74.605)
Epoch: [35][13900/14090]	Time 0.747 (0.771)	Data 0.001 (0.001)	Loss 1.9151 (2.2334)	Prec@1 50.781 (43.981)	Prec@5 81.250 (74.605)
Epoch: [35][13910/14090]	Time 0.726 (0.771)	Data 0.001 (0.001)	Loss 2.4457 (2.2335)	Prec@1 46.094 (43.981)	Prec@5 71.875 (74.605)
Epoch: [35][13920/14090]	Time 0.776 (0.771)	Data 0.001 (0.001)	Loss 2.2944 (2.2335)	Prec@1 43.750 (43.981)	Prec@5 72.656 (74.604)
Epoch: [35][13930/14090]	Time 0.729 (0.771)	Data 0.001 (0.001)	Loss 1.9983 (2.2335)	Prec@1 50.781 (43.980)	Prec@5 75.781 (74.604)
Epoch: [35][13940/14090]	Time 0.721 (0.771)	Data 0.001 (0.001)	Loss 2.3165 (2.2335)	Prec@1 44.531 (43.981)	Prec@5 73.438 (74.604)
Epoch: [35][13950/14090]	Time 0.750 (0.771)	Data 0.001 (0.001)	Loss 2.0684 (2.2335)	Prec@1 46.875 (43.980)	Prec@5 77.344 (74.603)
Epoch: [35][13960/14090]	Time 0.894 (0.771)	Data 0.001 (0.001)	Loss 2.0995 (2.2335)	Prec@1 46.094 (43.979)	Prec@5 79.688 (74.602)
Epoch: [35][13970/14090]	Time 0.764 (0.771)	Data 0.001 (0.001)	Loss 2.0292 (2.2335)	Prec@1 46.094 (43.980)	Prec@5 74.219 (74.602)
Epoch: [35][13980/14090]	Time 0.755 (0.771)	Data 0.001 (0.001)	Loss 2.4487 (2.2336)	Prec@1 33.594 (43.981)	Prec@5 69.531 (74.601)
Epoch: [35][13990/14090]	Time 0.751 (0.771)	Data 0.001 (0.001)	Loss 2.3650 (2.2336)	Prec@1 46.875 (43.981)	Prec@5 72.656 (74.600)
Epoch: [35][14000/14090]	Time 0.761 (0.771)	Data 0.001 (0.001)	Loss 2.1432 (2.2335)	Prec@1 45.312 (43.982)	Prec@5 75.781 (74.600)
Epoch: [35][14010/14090]	Time 0.761 (0.771)	Data 0.001 (0.001)	Loss 2.3519 (2.2335)	Prec@1 43.750 (43.982)	Prec@5 72.656 (74.600)
Epoch: [35][14020/14090]	Time 0.734 (0.771)	Data 0.001 (0.001)	Loss 2.2695 (2.2335)	Prec@1 45.312 (43.981)	Prec@5 71.094 (74.600)
Epoch: [35][14030/14090]	Time 0.826 (0.771)	Data 0.001 (0.001)	Loss 2.4774 (2.2335)	Prec@1 42.188 (43.981)	Prec@5 70.312 (74.600)
Epoch: [35][14040/14090]	Time 0.764 (0.771)	Data 0.001 (0.001)	Loss 2.0492 (2.2335)	Prec@1 51.562 (43.984)	Prec@5 75.781 (74.601)
Epoch: [35][14050/14090]	Time 0.748 (0.771)	Data 0.001 (0.001)	Loss 2.3434 (2.2335)	Prec@1 42.969 (43.983)	Prec@5 73.438 (74.601)
Epoch: [35][14060/14090]	Time 0.748 (0.771)	Data 0.001 (0.001)	Loss 2.3279 (2.2335)	Prec@1 41.406 (43.983)	Prec@5 73.438 (74.600)
Epoch: [35][14070/14090]	Time 0.732 (0.771)	Data 0.001 (0.001)	Loss 1.8570 (2.2335)	Prec@1 50.000 (43.985)	Prec@5 76.562 (74.601)
Epoch: [35][14080/14090]	Time 0.751 (0.771)	Data 0.000 (0.001)	Loss 2.2509 (2.2335)	Prec@1 46.875 (43.984)	Prec@5 71.875 (74.598)
Test: [0/286]	Time 4.145 (4.145)	Loss 1.2383 (1.2383)	Prec@1 64.844 (64.844)	Prec@5 96.094 (96.094)
Test: [10/286]	Time 0.239 (0.672)	Loss 1.7305 (1.9864)	Prec@1 53.125 (50.000)	Prec@5 86.719 (81.676)
Test: [20/286]	Time 0.318 (0.520)	Loss 1.3545 (1.8252)	Prec@1 63.281 (52.046)	Prec@5 89.844 (84.189)
Test: [30/286]	Time 0.234 (0.460)	Loss 2.0320 (1.7774)	Prec@1 44.531 (53.755)	Prec@5 82.031 (84.022)
Test: [40/286]	Time 1.035 (0.450)	Loss 1.9038 (1.8007)	Prec@1 44.531 (52.820)	Prec@5 82.031 (83.479)
Test: [50/286]	Time 0.309 (0.433)	Loss 0.6025 (1.7854)	Prec@1 89.062 (53.110)	Prec@5 96.094 (83.655)
Test: [60/286]	Time 0.240 (0.420)	Loss 2.9108 (1.8170)	Prec@1 35.938 (52.459)	Prec@5 58.594 (82.595)
Test: [70/286]	Time 0.320 (0.411)	Loss 1.0581 (1.7878)	Prec@1 73.438 (53.169)	Prec@5 92.969 (83.033)
Test: [80/286]	Time 0.828 (0.411)	Loss 1.8809 (1.8352)	Prec@1 39.844 (51.659)	Prec@5 84.375 (82.321)
Test: [90/286]	Time 0.251 (0.407)	Loss 2.1456 (1.8380)	Prec@1 43.750 (51.657)	Prec@5 78.906 (82.375)
Test: [100/286]	Time 0.234 (0.402)	Loss 2.0053 (1.8629)	Prec@1 43.750 (50.774)	Prec@5 79.688 (82.194)
Test: [110/286]	Time 0.227 (0.398)	Loss 2.5056 (1.8808)	Prec@1 37.500 (50.260)	Prec@5 70.312 (82.123)
Test: [120/286]	Time 0.991 (0.400)	Loss 1.5791 (1.8669)	Prec@1 63.281 (50.794)	Prec@5 82.812 (82.270)
Test: [130/286]	Time 0.356 (0.399)	Loss 0.9754 (1.8522)	Prec@1 72.656 (51.384)	Prec@5 93.750 (82.365)
Test: [140/286]	Time 0.268 (0.395)	Loss 2.4189 (1.8568)	Prec@1 47.656 (51.252)	Prec@5 72.656 (82.247)
Test: [150/286]	Time 0.227 (0.391)	Loss 2.7151 (1.8644)	Prec@1 28.906 (50.880)	Prec@5 75.000 (82.285)
Test: [160/286]	Time 0.720 (0.392)	Loss 2.8778 (1.8642)	Prec@1 20.312 (50.864)	Prec@5 60.156 (82.240)
Test: [170/286]	Time 0.289 (0.392)	Loss 1.9324 (1.8562)	Prec@1 47.656 (51.023)	Prec@5 81.250 (82.324)
Test: [180/286]	Time 0.229 (0.390)	Loss 1.9052 (1.8664)	Prec@1 59.375 (50.842)	Prec@5 78.906 (82.260)
Test: [190/286]	Time 0.507 (0.389)	Loss 2.9276 (1.8918)	Prec@1 23.438 (50.282)	Prec@5 73.438 (81.937)
Test: [200/286]	Time 1.138 (0.391)	Loss 2.0810 (1.8897)	Prec@1 51.562 (50.420)	Prec@5 80.469 (81.926)
Test: [210/286]	Time 0.245 (0.389)	Loss 2.2947 (1.8954)	Prec@1 39.844 (50.263)	Prec@5 76.562 (81.876)
Test: [220/286]	Time 0.240 (0.388)	Loss 3.2673 (1.9043)	Prec@1 17.969 (50.124)	Prec@5 54.688 (81.681)
Test: [230/286]	Time 0.233 (0.386)	Loss 1.1504 (1.9072)	Prec@1 67.969 (50.034)	Prec@5 89.062 (81.642)
Test: [240/286]	Time 0.823 (0.388)	Loss 1.9476 (1.9122)	Prec@1 53.125 (49.935)	Prec@5 82.812 (81.548)
Test: [250/286]	Time 0.234 (0.387)	Loss 1.7749 (1.9083)	Prec@1 51.562 (49.835)	Prec@5 85.938 (81.739)
Test: [260/286]	Time 0.279 (0.386)	Loss 1.9821 (1.9018)	Prec@1 49.219 (49.970)	Prec@5 78.906 (81.834)
Test: [270/286]	Time 0.226 (0.385)	Loss 1.0949 (1.8964)	Prec@1 72.656 (50.167)	Prec@5 91.406 (81.945)
Test: [280/286]	Time 0.427 (0.386)	Loss 1.5272 (1.8789)	Prec@1 62.500 (50.762)	Prec@5 89.844 (82.126)
 * Prec@1 50.867 Prec@5 82.134
Epoch: [36][0/14090]	Time 5.524 (5.524)	Data 4.636 (4.636)	Loss 2.1713 (2.1713)	Prec@1 42.969 (42.969)	Prec@5 72.656 (72.656)
Epoch: [36][10/14090]	Time 0.733 (1.170)	Data 0.001 (0.422)	Loss 1.8183 (2.1822)	Prec@1 50.781 (44.602)	Prec@5 84.375 (75.142)
Epoch: [36][20/14090]	Time 0.726 (0.965)	Data 0.001 (0.222)	Loss 2.2040 (2.1539)	Prec@1 41.406 (45.424)	Prec@5 75.000 (76.079)
Epoch: [36][30/14090]	Time 0.784 (0.903)	Data 0.001 (0.150)	Loss 2.2833 (2.2092)	Prec@1 44.531 (44.657)	Prec@5 73.438 (75.454)
Epoch: [36][40/14090]	Time 0.760 (0.866)	Data 0.001 (0.114)	Loss 2.1279 (2.1933)	Prec@1 46.875 (44.855)	Prec@5 74.219 (75.610)
Epoch: [36][50/14090]	Time 0.765 (0.848)	Data 0.001 (0.092)	Loss 2.3279 (2.1916)	Prec@1 39.062 (44.792)	Prec@5 72.656 (75.674)
Epoch: [36][60/14090]	Time 0.755 (0.836)	Data 0.001 (0.077)	Loss 2.3781 (2.2056)	Prec@1 39.844 (44.595)	Prec@5 76.562 (75.589)
Epoch: [36][70/14090]	Time 0.884 (0.828)	Data 0.001 (0.066)	Loss 2.0437 (2.2019)	Prec@1 42.969 (44.531)	Prec@5 80.469 (75.638)
Epoch: [36][80/14090]	Time 0.748 (0.822)	Data 0.001 (0.058)	Loss 2.4301 (2.2055)	Prec@1 45.312 (44.715)	Prec@5 67.969 (75.395)
Epoch: [36][90/14090]	Time 0.779 (0.816)	Data 0.001 (0.052)	Loss 2.1140 (2.2141)	Prec@1 40.625 (44.480)	Prec@5 82.031 (75.215)
Epoch: [36][100/14090]	Time 0.744 (0.812)	Data 0.001 (0.047)	Loss 2.2142 (2.2246)	Prec@1 47.656 (44.454)	Prec@5 72.656 (74.776)
Epoch: [36][110/14090]	Time 0.740 (0.808)	Data 0.001 (0.043)	Loss 2.3184 (2.2231)	Prec@1 45.312 (44.362)	Prec@5 71.875 (74.831)
Epoch: [36][120/14090]	Time 0.741 (0.806)	Data 0.001 (0.039)	Loss 2.3787 (2.2226)	Prec@1 41.406 (44.350)	Prec@5 78.125 (74.800)
Epoch: [36][130/14090]	Time 0.747 (0.803)	Data 0.001 (0.036)	Loss 2.4414 (2.2232)	Prec@1 38.281 (44.215)	Prec@5 75.000 (74.869)
Epoch: [36][140/14090]	Time 0.878 (0.802)	Data 0.001 (0.034)	Loss 2.1758 (2.2226)	Prec@1 45.312 (44.227)	Prec@5 78.125 (74.856)
Epoch: [36][150/14090]	Time 0.744 (0.799)	Data 0.001 (0.032)	Loss 2.1914 (2.2237)	Prec@1 43.750 (44.242)	Prec@5 77.344 (74.757)
Epoch: [36][160/14090]	Time 0.768 (0.797)	Data 0.001 (0.030)	Loss 1.8234 (2.2193)	Prec@1 48.438 (44.274)	Prec@5 79.688 (74.777)
Epoch: [36][170/14090]	Time 0.755 (0.797)	Data 0.001 (0.028)	Loss 1.8815 (2.2154)	Prec@1 50.781 (44.358)	Prec@5 81.250 (74.790)
Epoch: [36][180/14090]	Time 0.733 (0.795)	Data 0.001 (0.026)	Loss 1.8900 (2.2175)	Prec@1 50.781 (44.320)	Prec@5 80.469 (74.801)
Epoch: [36][190/14090]	Time 0.758 (0.795)	Data 0.001 (0.025)	Loss 2.2065 (2.2201)	Prec@1 39.062 (44.200)	Prec@5 73.438 (74.701)
Epoch: [36][200/14090]	Time 0.747 (0.794)	Data 0.001 (0.024)	Loss 2.1504 (2.2202)	Prec@1 44.531 (44.166)	Prec@5 78.906 (74.751)
Epoch: [36][210/14090]	Time 0.899 (0.793)	Data 0.002 (0.023)	Loss 2.3740 (2.2187)	Prec@1 42.969 (44.231)	Prec@5 72.656 (74.807)
Epoch: [36][220/14090]	Time 0.731 (0.792)	Data 0.001 (0.022)	Loss 1.9694 (2.2183)	Prec@1 44.531 (44.241)	Prec@5 78.906 (74.791)
Epoch: [36][230/14090]	Time 0.752 (0.791)	Data 0.001 (0.021)	Loss 2.2177 (2.2203)	Prec@1 43.750 (44.180)	Prec@5 75.000 (74.740)
Epoch: [36][240/14090]	Time 0.740 (0.790)	Data 0.001 (0.020)	Loss 2.2273 (2.2220)	Prec@1 50.000 (44.158)	Prec@5 71.875 (74.666)
Epoch: [36][250/14090]	Time 0.780 (0.790)	Data 0.001 (0.019)	Loss 1.9830 (2.2200)	Prec@1 46.094 (44.189)	Prec@5 75.000 (74.673)
Epoch: [36][260/14090]	Time 0.770 (0.789)	Data 0.001 (0.019)	Loss 2.1963 (2.2202)	Prec@1 41.406 (44.166)	Prec@5 76.562 (74.698)
Epoch: [36][270/14090]	Time 0.736 (0.788)	Data 0.002 (0.018)	Loss 2.5110 (2.2196)	Prec@1 42.969 (44.168)	Prec@5 71.875 (74.703)
Epoch: [36][280/14090]	Time 0.934 (0.788)	Data 0.001 (0.017)	Loss 2.1435 (2.2173)	Prec@1 46.094 (44.242)	Prec@5 74.219 (74.730)
Epoch: [36][290/14090]	Time 0.756 (0.787)	Data 0.001 (0.017)	Loss 2.2076 (2.2169)	Prec@1 41.406 (44.279)	Prec@5 79.688 (74.769)
Epoch: [36][300/14090]	Time 0.734 (0.787)	Data 0.001 (0.016)	Loss 2.0541 (2.2157)	Prec@1 47.656 (44.324)	Prec@5 76.562 (74.803)
Epoch: [36][310/14090]	Time 0.738 (0.787)	Data 0.001 (0.016)	Loss 2.2007 (2.2160)	Prec@1 48.438 (44.363)	Prec@5 76.562 (74.791)
Epoch: [36][320/14090]	Time 0.765 (0.786)	Data 0.001 (0.015)	Loss 2.1398 (2.2181)	Prec@1 51.562 (44.341)	Prec@5 75.000 (74.742)
Epoch: [36][330/14090]	Time 0.757 (0.786)	Data 0.001 (0.015)	Loss 2.1564 (2.2200)	Prec@1 42.188 (44.298)	Prec@5 77.344 (74.684)
Epoch: [36][340/14090]	Time 0.733 (0.786)	Data 0.001 (0.014)	Loss 2.2978 (2.2185)	Prec@1 45.312 (44.366)	Prec@5 71.094 (74.704)
Epoch: [36][350/14090]	Time 0.877 (0.785)	Data 0.001 (0.014)	Loss 2.6088 (2.2183)	Prec@1 42.188 (44.371)	Prec@5 66.406 (74.733)
Epoch: [36][360/14090]	Time 0.742 (0.785)	Data 0.001 (0.014)	Loss 2.3459 (2.2183)	Prec@1 39.062 (44.391)	Prec@5 70.312 (74.749)
Epoch: [36][370/14090]	Time 0.763 (0.784)	Data 0.001 (0.013)	Loss 1.9533 (2.2168)	Prec@1 50.781 (44.405)	Prec@5 79.688 (74.802)
Epoch: [36][380/14090]	Time 0.749 (0.784)	Data 0.001 (0.013)	Loss 2.4717 (2.2210)	Prec@1 39.062 (44.322)	Prec@5 68.750 (74.719)
Epoch: [36][390/14090]	Time 0.755 (0.784)	Data 0.001 (0.013)	Loss 2.0954 (2.2210)	Prec@1 46.094 (44.305)	Prec@5 80.469 (74.726)
Epoch: [36][400/14090]	Time 0.759 (0.784)	Data 0.001 (0.012)	Loss 2.3305 (2.2213)	Prec@1 41.406 (44.284)	Prec@5 72.656 (74.712)
Epoch: [36][410/14090]	Time 0.738 (0.783)	Data 0.001 (0.012)	Loss 2.1844 (2.2237)	Prec@1 38.281 (44.254)	Prec@5 78.906 (74.667)
Epoch: [36][420/14090]	Time 0.850 (0.783)	Data 0.001 (0.012)	Loss 2.2266 (2.2214)	Prec@1 47.656 (44.329)	Prec@5 71.875 (74.685)
Epoch: [36][430/14090]	Time 0.736 (0.782)	Data 0.001 (0.012)	Loss 2.1507 (2.2209)	Prec@1 45.312 (44.308)	Prec@5 82.031 (74.744)
Epoch: [36][440/14090]	Time 0.734 (0.782)	Data 0.001 (0.011)	Loss 2.2011 (2.2225)	Prec@1 35.938 (44.237)	Prec@5 75.000 (74.738)
Epoch: [36][450/14090]	Time 0.747 (0.782)	Data 0.001 (0.011)	Loss 2.1555 (2.2216)	Prec@1 42.188 (44.271)	Prec@5 75.000 (74.737)
Epoch: [36][460/14090]	Time 0.758 (0.782)	Data 0.001 (0.011)	Loss 1.9457 (2.2198)	Prec@1 48.438 (44.330)	Prec@5 81.250 (74.805)
Epoch: [36][470/14090]	Time 0.763 (0.782)	Data 0.001 (0.011)	Loss 1.9250 (2.2185)	Prec@1 51.562 (44.350)	Prec@5 78.125 (74.832)
Epoch: [36][480/14090]	Time 0.758 (0.781)	Data 0.001 (0.011)	Loss 2.1076 (2.2180)	Prec@1 41.406 (44.328)	Prec@5 76.562 (74.851)
Epoch: [36][490/14090]	Time 0.880 (0.781)	Data 0.001 (0.010)	Loss 2.2171 (2.2189)	Prec@1 43.750 (44.301)	Prec@5 75.000 (74.839)
Epoch: [36][500/14090]	Time 0.767 (0.781)	Data 0.001 (0.010)	Loss 2.1941 (2.2186)	Prec@1 44.531 (44.305)	Prec@5 74.219 (74.822)
Epoch: [36][510/14090]	Time 0.777 (0.781)	Data 0.001 (0.010)	Loss 2.3718 (2.2196)	Prec@1 39.844 (44.299)	Prec@5 73.438 (74.804)
Epoch: [36][520/14090]	Time 0.779 (0.781)	Data 0.001 (0.010)	Loss 2.1060 (2.2185)	Prec@1 41.406 (44.317)	Prec@5 75.000 (74.822)
Epoch: [36][530/14090]	Time 0.781 (0.781)	Data 0.001 (0.010)	Loss 2.1782 (2.2192)	Prec@1 43.750 (44.315)	Prec@5 79.688 (74.840)
Epoch: [36][540/14090]	Time 0.728 (0.780)	Data 0.001 (0.009)	Loss 2.5053 (2.2202)	Prec@1 42.188 (44.293)	Prec@5 69.531 (74.806)
Epoch: [36][550/14090]	Time 0.781 (0.780)	Data 0.001 (0.009)	Loss 1.8868 (2.2197)	Prec@1 52.344 (44.309)	Prec@5 77.344 (74.814)
Epoch: [36][560/14090]	Time 0.877 (0.780)	Data 0.001 (0.009)	Loss 2.2123 (2.2184)	Prec@1 47.656 (44.350)	Prec@5 73.438 (74.829)
Epoch: [36][570/14090]	Time 0.760 (0.780)	Data 0.001 (0.009)	Loss 2.2126 (2.2181)	Prec@1 49.219 (44.341)	Prec@5 71.875 (74.818)
Epoch: [36][580/14090]	Time 0.789 (0.780)	Data 0.001 (0.009)	Loss 2.2748 (2.2180)	Prec@1 40.625 (44.348)	Prec@5 79.688 (74.847)
Epoch: [36][590/14090]	Time 0.755 (0.780)	Data 0.001 (0.009)	Loss 2.3343 (2.2190)	Prec@1 43.750 (44.332)	Prec@5 72.656 (74.823)
Epoch: [36][600/14090]	Time 0.745 (0.779)	Data 0.001 (0.009)	Loss 1.9759 (2.2181)	Prec@1 51.562 (44.384)	Prec@5 77.344 (74.841)
Epoch: [36][610/14090]	Time 0.762 (0.779)	Data 0.001 (0.008)	Loss 2.0469 (2.2171)	Prec@1 51.562 (44.421)	Prec@5 74.219 (74.861)
Epoch: [36][620/14090]	Time 0.770 (0.779)	Data 0.001 (0.008)	Loss 2.1020 (2.2169)	Prec@1 44.531 (44.413)	Prec@5 78.125 (74.891)
Epoch: [36][630/14090]	Time 0.865 (0.779)	Data 0.001 (0.008)	Loss 1.9921 (2.2168)	Prec@1 47.656 (44.428)	Prec@5 78.906 (74.907)
Epoch: [36][640/14090]	Time 0.736 (0.779)	Data 0.001 (0.008)	Loss 1.9900 (2.2162)	Prec@1 48.438 (44.447)	Prec@5 81.250 (74.916)
Epoch: [36][650/14090]	Time 0.756 (0.779)	Data 0.001 (0.008)	Loss 2.2560 (2.2160)	Prec@1 48.438 (44.447)	Prec@5 78.906 (74.926)
Epoch: [36][660/14090]	Time 0.732 (0.779)	Data 0.002 (0.008)	Loss 2.2021 (2.2173)	Prec@1 41.406 (44.407)	Prec@5 72.656 (74.897)
Epoch: [36][670/14090]	Time 0.737 (0.779)	Data 0.001 (0.008)	Loss 2.2206 (2.2177)	Prec@1 47.656 (44.417)	Prec@5 77.344 (74.885)
Epoch: [36][680/14090]	Time 0.731 (0.779)	Data 0.001 (0.008)	Loss 2.5577 (2.2186)	Prec@1 31.250 (44.375)	Prec@5 71.094 (74.868)
Epoch: [36][690/14090]	Time 0.761 (0.779)	Data 0.001 (0.008)	Loss 2.1589 (2.2185)	Prec@1 49.219 (44.358)	Prec@5 77.344 (74.864)
Epoch: [36][700/14090]	Time 0.870 (0.779)	Data 0.001 (0.007)	Loss 2.2428 (2.2180)	Prec@1 44.531 (44.356)	Prec@5 76.562 (74.887)
Epoch: [36][710/14090]	Time 0.774 (0.779)	Data 0.001 (0.007)	Loss 2.3861 (2.2179)	Prec@1 39.844 (44.351)	Prec@5 70.312 (74.906)
Epoch: [36][720/14090]	Time 0.730 (0.778)	Data 0.001 (0.007)	Loss 2.1864 (2.2181)	Prec@1 44.531 (44.333)	Prec@5 73.438 (74.902)
Epoch: [36][730/14090]	Time 0.784 (0.779)	Data 0.001 (0.007)	Loss 2.0342 (2.2164)	Prec@1 47.656 (44.355)	Prec@5 74.219 (74.925)
Epoch: [36][740/14090]	Time 0.755 (0.779)	Data 0.001 (0.007)	Loss 2.4037 (2.2168)	Prec@1 42.188 (44.327)	Prec@5 71.875 (74.919)
Epoch: [36][750/14090]	Time 0.760 (0.778)	Data 0.001 (0.007)	Loss 2.2174 (2.2177)	Prec@1 45.312 (44.308)	Prec@5 78.125 (74.916)
Epoch: [36][760/14090]	Time 0.775 (0.778)	Data 0.001 (0.007)	Loss 2.3614 (2.2180)	Prec@1 42.188 (44.315)	Prec@5 75.000 (74.914)
Epoch: [36][770/14090]	Time 0.888 (0.778)	Data 0.001 (0.007)	Loss 2.1348 (2.2178)	Prec@1 49.219 (44.316)	Prec@5 78.125 (74.909)
Epoch: [36][780/14090]	Time 0.752 (0.778)	Data 0.001 (0.007)	Loss 1.9407 (2.2176)	Prec@1 42.969 (44.308)	Prec@5 82.031 (74.905)
Epoch: [36][790/14090]	Time 0.776 (0.778)	Data 0.001 (0.007)	Loss 1.9838 (2.2173)	Prec@1 47.656 (44.316)	Prec@5 77.344 (74.893)
Epoch: [36][800/14090]	Time 0.774 (0.778)	Data 0.001 (0.007)	Loss 2.3060 (2.2173)	Prec@1 45.312 (44.325)	Prec@5 71.094 (74.896)
Epoch: [36][810/14090]	Time 0.738 (0.778)	Data 0.001 (0.007)	Loss 2.2497 (2.2179)	Prec@1 46.094 (44.328)	Prec@5 75.000 (74.878)
Epoch: [36][820/14090]	Time 0.744 (0.778)	Data 0.001 (0.007)	Loss 2.0405 (2.2173)	Prec@1 41.406 (44.321)	Prec@5 80.469 (74.890)
Epoch: [36][830/14090]	Time 0.781 (0.778)	Data 0.001 (0.006)	Loss 2.2411 (2.2173)	Prec@1 41.406 (44.338)	Prec@5 72.656 (74.890)
Epoch: [36][840/14090]	Time 0.936 (0.778)	Data 0.001 (0.006)	Loss 2.4794 (2.2175)	Prec@1 35.938 (44.319)	Prec@5 71.094 (74.894)
Epoch: [36][850/14090]	Time 0.749 (0.778)	Data 0.001 (0.006)	Loss 2.5819 (2.2181)	Prec@1 39.844 (44.308)	Prec@5 71.094 (74.882)
Epoch: [36][860/14090]	Time 0.780 (0.778)	Data 0.001 (0.006)	Loss 2.2113 (2.2181)	Prec@1 50.000 (44.294)	Prec@5 74.219 (74.890)
Epoch: [36][870/14090]	Time 0.742 (0.777)	Data 0.001 (0.006)	Loss 2.1532 (2.2181)	Prec@1 46.875 (44.299)	Prec@5 75.781 (74.895)
Epoch: [36][880/14090]	Time 0.746 (0.777)	Data 0.001 (0.006)	Loss 2.4077 (2.2179)	Prec@1 42.188 (44.310)	Prec@5 68.750 (74.904)
Epoch: [36][890/14090]	Time 0.731 (0.777)	Data 0.001 (0.006)	Loss 2.2754 (2.2177)	Prec@1 42.969 (44.307)	Prec@5 72.656 (74.888)
Epoch: [36][900/14090]	Time 0.753 (0.777)	Data 0.001 (0.006)	Loss 2.0762 (2.2177)	Prec@1 46.875 (44.308)	Prec@5 71.875 (74.877)
Epoch: [36][910/14090]	Time 0.881 (0.777)	Data 0.001 (0.006)	Loss 2.4104 (2.2185)	Prec@1 35.938 (44.291)	Prec@5 72.656 (74.861)
Epoch: [36][920/14090]	Time 0.764 (0.777)	Data 0.001 (0.006)	Loss 2.1272 (2.2185)	Prec@1 46.875 (44.299)	Prec@5 76.562 (74.858)
Epoch: [36][930/14090]	Time 0.763 (0.777)	Data 0.001 (0.006)	Loss 2.0358 (2.2185)	Prec@1 52.344 (44.302)	Prec@5 75.781 (74.836)
Epoch: [36][940/14090]	Time 0.744 (0.777)	Data 0.001 (0.006)	Loss 2.0634 (2.2187)	Prec@1 47.656 (44.297)	Prec@5 77.344 (74.828)
Epoch: [36][950/14090]	Time 0.787 (0.777)	Data 0.001 (0.006)	Loss 2.0343 (2.2181)	Prec@1 50.781 (44.306)	Prec@5 78.906 (74.853)
Epoch: [36][960/14090]	Time 0.753 (0.777)	Data 0.001 (0.006)	Loss 2.1633 (2.2193)	Prec@1 46.875 (44.279)	Prec@5 75.000 (74.834)
Epoch: [36][970/14090]	Time 0.778 (0.777)	Data 0.001 (0.006)	Loss 2.2989 (2.2192)	Prec@1 44.531 (44.280)	Prec@5 70.312 (74.827)
Epoch: [36][980/14090]	Time 0.820 (0.777)	Data 0.001 (0.006)	Loss 2.0342 (2.2194)	Prec@1 51.562 (44.276)	Prec@5 78.906 (74.835)
Epoch: [36][990/14090]	Time 0.775 (0.777)	Data 0.001 (0.006)	Loss 2.1485 (2.2193)	Prec@1 40.625 (44.282)	Prec@5 76.562 (74.841)
Epoch: [36][1000/14090]	Time 0.769 (0.777)	Data 0.001 (0.006)	Loss 2.2263 (2.2201)	Prec@1 39.062 (44.267)	Prec@5 77.344 (74.839)
Epoch: [36][1010/14090]	Time 0.755 (0.777)	Data 0.001 (0.005)	Loss 1.9923 (2.2185)	Prec@1 46.875 (44.290)	Prec@5 79.688 (74.862)
Epoch: [36][1020/14090]	Time 0.755 (0.777)	Data 0.001 (0.005)	Loss 1.9496 (2.2175)	Prec@1 44.531 (44.306)	Prec@5 81.250 (74.888)
Epoch: [36][1030/14090]	Time 0.750 (0.777)	Data 0.001 (0.005)	Loss 2.2005 (2.2183)	Prec@1 43.750 (44.274)	Prec@5 75.000 (74.879)
Epoch: [36][1040/14090]	Time 0.791 (0.777)	Data 0.001 (0.005)	Loss 2.1681 (2.2185)	Prec@1 43.750 (44.267)	Prec@5 71.094 (74.873)
Epoch: [36][1050/14090]	Time 0.903 (0.777)	Data 0.001 (0.005)	Loss 2.1132 (2.2183)	Prec@1 47.656 (44.273)	Prec@5 76.562 (74.877)
Epoch: [36][1060/14090]	Time 0.744 (0.776)	Data 0.001 (0.005)	Loss 2.1337 (2.2177)	Prec@1 43.750 (44.298)	Prec@5 75.781 (74.886)
Epoch: [36][1070/14090]	Time 0.774 (0.776)	Data 0.001 (0.005)	Loss 2.3399 (2.2186)	Prec@1 42.188 (44.274)	Prec@5 74.219 (74.879)
Epoch: [36][1080/14090]	Time 0.797 (0.776)	Data 0.001 (0.005)	Loss 1.9351 (2.2184)	Prec@1 47.656 (44.280)	Prec@5 82.812 (74.871)
Epoch: [36][1090/14090]	Time 0.742 (0.776)	Data 0.001 (0.005)	Loss 2.1263 (2.2174)	Prec@1 46.094 (44.309)	Prec@5 75.781 (74.890)
Epoch: [36][1100/14090]	Time 0.748 (0.776)	Data 0.001 (0.005)	Loss 2.5488 (2.2174)	Prec@1 40.625 (44.301)	Prec@5 65.625 (74.896)
Epoch: [36][1110/14090]	Time 0.781 (0.776)	Data 0.001 (0.005)	Loss 2.0327 (2.2168)	Prec@1 49.219 (44.316)	Prec@5 81.250 (74.911)
Epoch: [36][1120/14090]	Time 0.957 (0.776)	Data 0.001 (0.005)	Loss 2.2549 (2.2168)	Prec@1 44.531 (44.321)	Prec@5 72.656 (74.908)
Epoch: [36][1130/14090]	Time 0.742 (0.776)	Data 0.001 (0.005)	Loss 2.1769 (2.2170)	Prec@1 43.750 (44.316)	Prec@5 74.219 (74.894)
Epoch: [36][1140/14090]	Time 0.753 (0.776)	Data 0.001 (0.005)	Loss 2.3171 (2.2169)	Prec@1 42.969 (44.316)	Prec@5 73.438 (74.886)
Epoch: [36][1150/14090]	Time 0.730 (0.776)	Data 0.001 (0.005)	Loss 2.4932 (2.2170)	Prec@1 35.938 (44.303)	Prec@5 69.531 (74.892)
Epoch: [36][1160/14090]	Time 0.747 (0.776)	Data 0.001 (0.005)	Loss 2.1221 (2.2169)	Prec@1 42.969 (44.286)	Prec@5 77.344 (74.898)
Epoch: [36][1170/14090]	Time 0.755 (0.776)	Data 0.001 (0.005)	Loss 2.1954 (2.2164)	Prec@1 45.312 (44.291)	Prec@5 74.219 (74.907)
Epoch: [36][1180/14090]	Time 0.759 (0.776)	Data 0.001 (0.005)	Loss 2.3724 (2.2160)	Prec@1 39.062 (44.295)	Prec@5 74.219 (74.920)
Epoch: [36][1190/14090]	Time 0.831 (0.776)	Data 0.001 (0.005)	Loss 2.2456 (2.2172)	Prec@1 40.625 (44.288)	Prec@5 75.781 (74.894)
Epoch: [36][1200/14090]	Time 0.729 (0.776)	Data 0.001 (0.005)	Loss 2.0040 (2.2172)	Prec@1 43.750 (44.275)	Prec@5 80.469 (74.893)
Epoch: [36][1210/14090]	Time 0.737 (0.776)	Data 0.001 (0.005)	Loss 1.9091 (2.2165)	Prec@1 47.656 (44.277)	Prec@5 80.469 (74.910)
Epoch: [36][1220/14090]	Time 0.743 (0.776)	Data 0.001 (0.005)	Loss 2.0904 (2.2158)	Prec@1 50.781 (44.290)	Prec@5 73.438 (74.919)
Epoch: [36][1230/14090]	Time 0.738 (0.776)	Data 0.001 (0.005)	Loss 1.9733 (2.2148)	Prec@1 51.562 (44.300)	Prec@5 75.781 (74.944)
Epoch: [36][1240/14090]	Time 0.743 (0.776)	Data 0.001 (0.005)	Loss 2.4048 (2.2152)	Prec@1 42.969 (44.292)	Prec@5 71.094 (74.939)
Epoch: [36][1250/14090]	Time 0.750 (0.776)	Data 0.001 (0.005)	Loss 2.2786 (2.2154)	Prec@1 41.406 (44.297)	Prec@5 71.875 (74.926)
Epoch: [36][1260/14090]	Time 0.868 (0.776)	Data 0.001 (0.005)	Loss 2.1687 (2.2155)	Prec@1 39.844 (44.291)	Prec@5 74.219 (74.924)
Epoch: [36][1270/14090]	Time 0.747 (0.776)	Data 0.001 (0.005)	Loss 1.9211 (2.2149)	Prec@1 49.219 (44.307)	Prec@5 77.344 (74.939)
Epoch: [36][1280/14090]	Time 0.774 (0.776)	Data 0.001 (0.004)	Loss 2.1572 (2.2148)	Prec@1 40.625 (44.309)	Prec@5 75.781 (74.940)
Epoch: [36][1290/14090]	Time 0.785 (0.776)	Data 0.001 (0.004)	Loss 2.2875 (2.2148)	Prec@1 39.844 (44.303)	Prec@5 71.875 (74.932)
Epoch: [36][1300/14090]	Time 0.730 (0.776)	Data 0.001 (0.004)	Loss 2.3331 (2.2142)	Prec@1 42.188 (44.314)	Prec@5 71.875 (74.947)
Epoch: [36][1310/14090]	Time 0.749 (0.776)	Data 0.001 (0.004)	Loss 2.0520 (2.2141)	Prec@1 44.531 (44.319)	Prec@5 77.344 (74.951)
Epoch: [36][1320/14090]	Time 0.742 (0.775)	Data 0.001 (0.004)	Loss 2.1520 (2.2137)	Prec@1 46.094 (44.332)	Prec@5 78.906 (74.965)
Epoch: [36][1330/14090]	Time 0.927 (0.776)	Data 0.001 (0.004)	Loss 2.3031 (2.2140)	Prec@1 43.750 (44.325)	Prec@5 71.094 (74.957)
Epoch: [36][1340/14090]	Time 0.751 (0.776)	Data 0.001 (0.004)	Loss 2.0206 (2.2132)	Prec@1 47.656 (44.342)	Prec@5 77.344 (74.974)
Epoch: [36][1350/14090]	Time 0.757 (0.775)	Data 0.001 (0.004)	Loss 2.3797 (2.2134)	Prec@1 38.281 (44.333)	Prec@5 73.438 (74.979)
Epoch: [36][1360/14090]	Time 0.733 (0.775)	Data 0.001 (0.004)	Loss 2.2193 (2.2132)	Prec@1 40.625 (44.342)	Prec@5 73.438 (74.978)
Epoch: [36][1370/14090]	Time 0.731 (0.775)	Data 0.001 (0.004)	Loss 2.1051 (2.2126)	Prec@1 42.188 (44.361)	Prec@5 75.781 (74.984)
Epoch: [36][1380/14090]	Time 0.738 (0.775)	Data 0.001 (0.004)	Loss 2.1677 (2.2131)	Prec@1 40.625 (44.358)	Prec@5 76.562 (74.975)
Epoch: [36][1390/14090]	Time 0.772 (0.775)	Data 0.001 (0.004)	Loss 2.1706 (2.2132)	Prec@1 46.094 (44.352)	Prec@5 76.562 (74.983)
Epoch: [36][1400/14090]	Time 0.977 (0.775)	Data 0.001 (0.004)	Loss 2.2119 (2.2136)	Prec@1 46.875 (44.339)	Prec@5 74.219 (74.971)
Epoch: [36][1410/14090]	Time 0.752 (0.775)	Data 0.001 (0.004)	Loss 2.1786 (2.2137)	Prec@1 42.969 (44.339)	Prec@5 77.344 (74.970)
Epoch: [36][1420/14090]	Time 0.763 (0.775)	Data 0.001 (0.004)	Loss 2.3011 (2.2137)	Prec@1 42.188 (44.327)	Prec@5 74.219 (74.966)
Epoch: [36][1430/14090]	Time 0.766 (0.775)	Data 0.001 (0.004)	Loss 2.1138 (2.2138)	Prec@1 42.188 (44.319)	Prec@5 74.219 (74.968)
Epoch: [36][1440/14090]	Time 0.743 (0.775)	Data 0.001 (0.004)	Loss 2.3770 (2.2145)	Prec@1 41.406 (44.306)	Prec@5 76.562 (74.951)
Epoch: [36][1450/14090]	Time 0.759 (0.775)	Data 0.001 (0.004)	Loss 1.9822 (2.2141)	Prec@1 46.875 (44.319)	Prec@5 81.250 (74.961)
Epoch: [36][1460/14090]	Time 0.741 (0.775)	Data 0.001 (0.004)	Loss 2.5488 (2.2146)	Prec@1 41.406 (44.310)	Prec@5 65.625 (74.959)
Epoch: [36][1470/14090]	Time 0.853 (0.775)	Data 0.001 (0.004)	Loss 2.0591 (2.2148)	Prec@1 53.125 (44.309)	Prec@5 76.562 (74.951)
Epoch: [36][1480/14090]	Time 0.750 (0.775)	Data 0.001 (0.004)	Loss 2.3389 (2.2150)	Prec@1 42.188 (44.306)	Prec@5 70.312 (74.943)
Epoch: [36][1490/14090]	Time 0.744 (0.775)	Data 0.001 (0.004)	Loss 2.3752 (2.2149)	Prec@1 35.938 (44.302)	Prec@5 69.531 (74.946)
Epoch: [36][1500/14090]	Time 0.729 (0.775)	Data 0.001 (0.004)	Loss 2.2458 (2.2144)	Prec@1 35.938 (44.297)	Prec@5 74.219 (74.964)
Epoch: [36][1510/14090]	Time 0.742 (0.775)	Data 0.001 (0.004)	Loss 2.2903 (2.2142)	Prec@1 43.750 (44.303)	Prec@5 78.906 (74.966)
Epoch: [36][1520/14090]	Time 0.736 (0.775)	Data 0.001 (0.004)	Loss 2.2617 (2.2146)	Prec@1 46.094 (44.305)	Prec@5 72.656 (74.959)
Epoch: [36][1530/14090]	Time 0.732 (0.775)	Data 0.001 (0.004)	Loss 2.3173 (2.2149)	Prec@1 39.062 (44.310)	Prec@5 74.219 (74.949)
Epoch: [36][1540/14090]	Time 1.061 (0.775)	Data 0.001 (0.004)	Loss 1.9505 (2.2146)	Prec@1 46.094 (44.319)	Prec@5 81.250 (74.956)
Epoch: [36][1550/14090]	Time 0.753 (0.775)	Data 0.001 (0.004)	Loss 2.2754 (2.2147)	Prec@1 44.531 (44.312)	Prec@5 71.875 (74.945)
Epoch: [36][1560/14090]	Time 0.769 (0.775)	Data 0.001 (0.004)	Loss 2.3863 (2.2145)	Prec@1 43.750 (44.322)	Prec@5 73.438 (74.946)
Epoch: [36][1570/14090]	Time 0.772 (0.775)	Data 0.001 (0.004)	Loss 2.2138 (2.2145)	Prec@1 42.188 (44.312)	Prec@5 80.469 (74.950)
Epoch: [36][1580/14090]	Time 0.724 (0.775)	Data 0.001 (0.004)	Loss 2.1851 (2.2144)	Prec@1 46.875 (44.308)	Prec@5 74.219 (74.955)
Epoch: [36][1590/14090]	Time 0.747 (0.775)	Data 0.001 (0.004)	Loss 1.8533 (2.2140)	Prec@1 50.781 (44.312)	Prec@5 81.250 (74.968)
Epoch: [36][1600/14090]	Time 0.758 (0.775)	Data 0.001 (0.004)	Loss 1.9896 (2.2140)	Prec@1 52.344 (44.315)	Prec@5 75.781 (74.964)
Epoch: [36][1610/14090]	Time 0.887 (0.775)	Data 0.001 (0.004)	Loss 2.3513 (2.2145)	Prec@1 46.094 (44.295)	Prec@5 67.188 (74.956)
Epoch: [36][1620/14090]	Time 0.735 (0.775)	Data 0.001 (0.004)	Loss 2.1468 (2.2144)	Prec@1 44.531 (44.299)	Prec@5 77.344 (74.959)
Epoch: [36][1630/14090]	Time 0.759 (0.775)	Data 0.001 (0.004)	Loss 2.0042 (2.2142)	Prec@1 50.781 (44.310)	Prec@5 80.469 (74.962)
Epoch: [36][1640/14090]	Time 0.737 (0.775)	Data 0.001 (0.004)	Loss 2.2265 (2.2143)	Prec@1 40.625 (44.299)	Prec@5 74.219 (74.956)
Epoch: [36][1650/14090]	Time 0.745 (0.775)	Data 0.001 (0.004)	Loss 2.3396 (2.2144)	Prec@1 43.750 (44.294)	Prec@5 71.094 (74.954)
Epoch: [36][1660/14090]	Time 0.722 (0.775)	Data 0.001 (0.004)	Loss 2.3171 (2.2148)	Prec@1 46.875 (44.295)	Prec@5 73.438 (74.949)
Epoch: [36][1670/14090]	Time 0.755 (0.775)	Data 0.001 (0.004)	Loss 2.1524 (2.2150)	Prec@1 44.531 (44.286)	Prec@5 79.688 (74.948)
Epoch: [36][1680/14090]	Time 0.859 (0.775)	Data 0.001 (0.004)	Loss 2.2127 (2.2154)	Prec@1 42.969 (44.277)	Prec@5 75.000 (74.936)
Epoch: [36][1690/14090]	Time 0.773 (0.775)	Data 0.001 (0.004)	Loss 2.3519 (2.2154)	Prec@1 46.094 (44.284)	Prec@5 73.438 (74.933)
Epoch: [36][1700/14090]	Time 0.724 (0.775)	Data 0.001 (0.004)	Loss 2.4851 (2.2152)	Prec@1 42.969 (44.293)	Prec@5 69.531 (74.930)
Epoch: [36][1710/14090]	Time 0.768 (0.775)	Data 0.001 (0.004)	Loss 2.6684 (2.2159)	Prec@1 32.031 (44.270)	Prec@5 64.062 (74.911)
Epoch: [36][1720/14090]	Time 0.743 (0.774)	Data 0.001 (0.004)	Loss 2.4412 (2.2165)	Prec@1 38.281 (44.255)	Prec@5 68.750 (74.905)
Epoch: [36][1730/14090]	Time 0.749 (0.775)	Data 0.001 (0.004)	Loss 2.3937 (2.2172)	Prec@1 44.531 (44.239)	Prec@5 71.094 (74.893)
Epoch: [36][1740/14090]	Time 0.753 (0.774)	Data 0.001 (0.004)	Loss 2.2907 (2.2173)	Prec@1 42.969 (44.236)	Prec@5 74.219 (74.887)
Epoch: [36][1750/14090]	Time 0.887 (0.775)	Data 0.001 (0.004)	Loss 2.2285 (2.2172)	Prec@1 43.750 (44.229)	Prec@5 76.562 (74.890)
Epoch: [36][1760/14090]	Time 0.753 (0.774)	Data 0.001 (0.003)	Loss 1.9752 (2.2172)	Prec@1 49.219 (44.231)	Prec@5 79.688 (74.890)
Epoch: [36][1770/14090]	Time 0.735 (0.774)	Data 0.001 (0.003)	Loss 2.0268 (2.2172)	Prec@1 50.781 (44.239)	Prec@5 78.906 (74.892)
Epoch: [36][1780/14090]	Time 0.759 (0.774)	Data 0.001 (0.003)	Loss 2.1412 (2.2176)	Prec@1 48.438 (44.229)	Prec@5 78.125 (74.883)
Epoch: [36][1790/14090]	Time 0.779 (0.774)	Data 0.001 (0.003)	Loss 2.1474 (2.2175)	Prec@1 39.062 (44.226)	Prec@5 78.906 (74.884)
Epoch: [36][1800/14090]	Time 0.794 (0.774)	Data 0.001 (0.003)	Loss 2.1254 (2.2171)	Prec@1 45.312 (44.246)	Prec@5 79.688 (74.892)
Epoch: [36][1810/14090]	Time 0.724 (0.774)	Data 0.001 (0.003)	Loss 2.0707 (2.2169)	Prec@1 49.219 (44.256)	Prec@5 76.562 (74.893)
Epoch: [36][1820/14090]	Time 0.846 (0.774)	Data 0.001 (0.003)	Loss 2.4330 (2.2167)	Prec@1 38.281 (44.265)	Prec@5 71.094 (74.903)
Epoch: [36][1830/14090]	Time 0.732 (0.774)	Data 0.001 (0.003)	Loss 2.3759 (2.2170)	Prec@1 46.094 (44.264)	Prec@5 71.094 (74.895)
Epoch: [36][1840/14090]	Time 0.752 (0.774)	Data 0.001 (0.003)	Loss 2.1461 (2.2165)	Prec@1 46.094 (44.276)	Prec@5 77.344 (74.907)
Epoch: [36][1850/14090]	Time 0.758 (0.774)	Data 0.001 (0.003)	Loss 2.1286 (2.2167)	Prec@1 42.969 (44.279)	Prec@5 78.906 (74.906)
Epoch: [36][1860/14090]	Time 0.723 (0.774)	Data 0.001 (0.003)	Loss 2.3328 (2.2166)	Prec@1 43.750 (44.285)	Prec@5 74.219 (74.917)
Epoch: [36][1870/14090]	Time 0.755 (0.774)	Data 0.001 (0.003)	Loss 2.1688 (2.2168)	Prec@1 50.000 (44.282)	Prec@5 71.875 (74.912)
Epoch: [36][1880/14090]	Time 0.731 (0.774)	Data 0.001 (0.003)	Loss 1.8890 (2.2171)	Prec@1 55.469 (44.292)	Prec@5 82.031 (74.906)
Epoch: [36][1890/14090]	Time 0.850 (0.774)	Data 0.001 (0.003)	Loss 2.1651 (2.2168)	Prec@1 47.656 (44.306)	Prec@5 77.344 (74.916)
Epoch: [36][1900/14090]	Time 0.736 (0.774)	Data 0.001 (0.003)	Loss 2.0122 (2.2168)	Prec@1 44.531 (44.299)	Prec@5 77.344 (74.912)
Epoch: [36][1910/14090]	Time 0.780 (0.774)	Data 0.001 (0.003)	Loss 2.2043 (2.2167)	Prec@1 42.969 (44.299)	Prec@5 72.656 (74.907)
Epoch: [36][1920/14090]	Time 0.769 (0.774)	Data 0.001 (0.003)	Loss 2.0795 (2.2166)	Prec@1 46.875 (44.300)	Prec@5 74.219 (74.906)
Epoch: [36][1930/14090]	Time 0.783 (0.774)	Data 0.003 (0.003)	Loss 1.9883 (2.2162)	Prec@1 48.438 (44.310)	Prec@5 78.125 (74.908)
Epoch: [36][1940/14090]	Time 0.739 (0.774)	Data 0.001 (0.003)	Loss 2.5221 (2.2164)	Prec@1 39.844 (44.310)	Prec@5 67.188 (74.903)
Epoch: [36][1950/14090]	Time 0.775 (0.774)	Data 0.001 (0.003)	Loss 1.9646 (2.2161)	Prec@1 48.438 (44.314)	Prec@5 80.469 (74.911)
Epoch: [36][1960/14090]	Time 0.999 (0.774)	Data 0.001 (0.003)	Loss 1.9924 (2.2161)	Prec@1 50.000 (44.317)	Prec@5 77.344 (74.915)
Epoch: [36][1970/14090]	Time 0.763 (0.774)	Data 0.001 (0.003)	Loss 2.2298 (2.2165)	Prec@1 45.312 (44.307)	Prec@5 81.250 (74.917)
Epoch: [36][1980/14090]	Time 0.744 (0.774)	Data 0.001 (0.003)	Loss 2.0925 (2.2162)	Prec@1 50.000 (44.308)	Prec@5 75.781 (74.920)
Epoch: [36][1990/14090]	Time 0.743 (0.774)	Data 0.001 (0.003)	Loss 2.0259 (2.2161)	Prec@1 52.344 (44.317)	Prec@5 80.469 (74.922)
Epoch: [36][2000/14090]	Time 0.744 (0.774)	Data 0.001 (0.003)	Loss 2.1507 (2.2163)	Prec@1 45.312 (44.307)	Prec@5 81.250 (74.922)
Epoch: [36][2010/14090]	Time 0.766 (0.774)	Data 0.001 (0.003)	Loss 2.2887 (2.2158)	Prec@1 42.969 (44.318)	Prec@5 70.312 (74.933)
Epoch: [36][2020/14090]	Time 0.724 (0.774)	Data 0.001 (0.003)	Loss 2.0873 (2.2160)	Prec@1 46.875 (44.314)	Prec@5 74.219 (74.922)
Epoch: [36][2030/14090]	Time 0.850 (0.774)	Data 0.001 (0.003)	Loss 2.2214 (2.2161)	Prec@1 40.625 (44.313)	Prec@5 71.094 (74.918)
Epoch: [36][2040/14090]	Time 0.764 (0.774)	Data 0.001 (0.003)	Loss 2.1191 (2.2164)	Prec@1 43.750 (44.305)	Prec@5 73.438 (74.912)
Epoch: [36][2050/14090]	Time 0.746 (0.774)	Data 0.001 (0.003)	Loss 2.1317 (2.2164)	Prec@1 42.969 (44.297)	Prec@5 75.000 (74.910)
Epoch: [36][2060/14090]	Time 0.753 (0.774)	Data 0.001 (0.003)	Loss 2.2347 (2.2167)	Prec@1 45.312 (44.291)	Prec@5 77.344 (74.905)
Epoch: [36][2070/14090]	Time 0.754 (0.774)	Data 0.001 (0.003)	Loss 2.2966 (2.2165)	Prec@1 43.750 (44.293)	Prec@5 75.000 (74.911)
Epoch: [36][2080/14090]	Time 0.772 (0.774)	Data 0.001 (0.003)	Loss 2.3543 (2.2168)	Prec@1 41.406 (44.288)	Prec@5 72.656 (74.906)
Epoch: [36][2090/14090]	Time 0.762 (0.774)	Data 0.001 (0.003)	Loss 2.1654 (2.2175)	Prec@1 50.000 (44.271)	Prec@5 74.219 (74.896)
Epoch: [36][2100/14090]	Time 0.849 (0.774)	Data 0.001 (0.003)	Loss 2.2290 (2.2172)	Prec@1 48.438 (44.285)	Prec@5 74.219 (74.898)
Epoch: [36][2110/14090]	Time 0.776 (0.774)	Data 0.001 (0.003)	Loss 2.1704 (2.2172)	Prec@1 47.656 (44.296)	Prec@5 75.781 (74.902)
Epoch: [36][2120/14090]	Time 0.762 (0.774)	Data 0.001 (0.003)	Loss 2.1019 (2.2174)	Prec@1 46.875 (44.296)	Prec@5 76.562 (74.899)
Epoch: [36][2130/14090]	Time 0.759 (0.774)	Data 0.003 (0.003)	Loss 2.3172 (2.2174)	Prec@1 43.750 (44.301)	Prec@5 71.875 (74.896)
Epoch: [36][2140/14090]	Time 0.769 (0.774)	Data 0.001 (0.003)	Loss 2.3271 (2.2171)	Prec@1 36.719 (44.309)	Prec@5 71.875 (74.896)
Epoch: [36][2150/14090]	Time 0.730 (0.774)	Data 0.001 (0.003)	Loss 2.1963 (2.2171)	Prec@1 42.188 (44.305)	Prec@5 77.344 (74.895)
Epoch: [36][2160/14090]	Time 0.771 (0.774)	Data 0.001 (0.003)	Loss 2.0577 (2.2174)	Prec@1 49.219 (44.299)	Prec@5 83.594 (74.892)
Epoch: [36][2170/14090]	Time 0.879 (0.774)	Data 0.001 (0.003)	Loss 2.0802 (2.2172)	Prec@1 42.969 (44.295)	Prec@5 76.562 (74.900)
Epoch: [36][2180/14090]	Time 0.769 (0.774)	Data 0.001 (0.003)	Loss 2.5042 (2.2177)	Prec@1 42.969 (44.292)	Prec@5 72.656 (74.887)
Epoch: [36][2190/14090]	Time 0.744 (0.774)	Data 0.001 (0.003)	Loss 2.3198 (2.2178)	Prec@1 42.969 (44.290)	Prec@5 71.875 (74.889)
Epoch: [36][2200/14090]	Time 0.760 (0.774)	Data 0.001 (0.003)	Loss 2.3066 (2.2178)	Prec@1 44.531 (44.301)	Prec@5 71.875 (74.884)
Epoch: [36][2210/14090]	Time 0.773 (0.774)	Data 0.001 (0.003)	Loss 1.9654 (2.2175)	Prec@1 47.656 (44.299)	Prec@5 81.250 (74.886)
Epoch: [36][2220/14090]	Time 0.733 (0.773)	Data 0.001 (0.003)	Loss 2.2651 (2.2176)	Prec@1 44.531 (44.297)	Prec@5 72.656 (74.885)
Epoch: [36][2230/14090]	Time 0.737 (0.773)	Data 0.001 (0.003)	Loss 2.2250 (2.2173)	Prec@1 43.750 (44.297)	Prec@5 71.094 (74.890)
Epoch: [36][2240/14090]	Time 0.923 (0.773)	Data 0.001 (0.003)	Loss 2.5513 (2.2172)	Prec@1 35.938 (44.300)	Prec@5 64.062 (74.887)
Epoch: [36][2250/14090]	Time 0.764 (0.773)	Data 0.001 (0.003)	Loss 2.2705 (2.2173)	Prec@1 46.094 (44.305)	Prec@5 71.875 (74.884)
Epoch: [36][2260/14090]	Time 0.736 (0.773)	Data 0.001 (0.003)	Loss 2.2229 (2.2170)	Prec@1 42.969 (44.316)	Prec@5 73.438 (74.894)
Epoch: [36][2270/14090]	Time 0.746 (0.773)	Data 0.001 (0.003)	Loss 2.3878 (2.2173)	Prec@1 41.406 (44.314)	Prec@5 71.875 (74.889)
Epoch: [36][2280/14090]	Time 0.772 (0.773)	Data 0.001 (0.003)	Loss 1.9879 (2.2174)	Prec@1 51.562 (44.313)	Prec@5 81.250 (74.891)
Epoch: [36][2290/14090]	Time 0.753 (0.773)	Data 0.001 (0.003)	Loss 2.1811 (2.2176)	Prec@1 40.625 (44.311)	Prec@5 78.906 (74.890)
Epoch: [36][2300/14090]	Time 0.771 (0.773)	Data 0.001 (0.003)	Loss 2.5095 (2.2176)	Prec@1 39.844 (44.306)	Prec@5 66.406 (74.887)
Epoch: [36][2310/14090]	Time 0.853 (0.773)	Data 0.001 (0.003)	Loss 2.1559 (2.2175)	Prec@1 45.312 (44.307)	Prec@5 75.000 (74.885)
Epoch: [36][2320/14090]	Time 0.769 (0.773)	Data 0.001 (0.003)	Loss 2.7276 (2.2175)	Prec@1 33.594 (44.314)	Prec@5 64.062 (74.883)
Epoch: [36][2330/14090]	Time 0.745 (0.773)	Data 0.001 (0.003)	Loss 2.2849 (2.2179)	Prec@1 39.844 (44.307)	Prec@5 72.656 (74.876)
Epoch: [36][2340/14090]	Time 0.763 (0.773)	Data 0.001 (0.003)	Loss 2.1516 (2.2181)	Prec@1 45.312 (44.306)	Prec@5 78.125 (74.875)
Epoch: [36][2350/14090]	Time 0.738 (0.773)	Data 0.001 (0.003)	Loss 2.1120 (2.2183)	Prec@1 47.656 (44.298)	Prec@5 77.344 (74.871)
Epoch: [36][2360/14090]	Time 0.732 (0.773)	Data 0.001 (0.003)	Loss 2.2778 (2.2182)	Prec@1 44.531 (44.293)	Prec@5 75.000 (74.872)
Epoch: [36][2370/14090]	Time 0.753 (0.773)	Data 0.001 (0.003)	Loss 2.1241 (2.2185)	Prec@1 46.094 (44.288)	Prec@5 76.562 (74.870)
Epoch: [36][2380/14090]	Time 0.841 (0.773)	Data 0.001 (0.003)	Loss 2.2426 (2.2184)	Prec@1 42.969 (44.290)	Prec@5 76.562 (74.874)
Epoch: [36][2390/14090]	Time 0.774 (0.773)	Data 0.001 (0.003)	Loss 2.3247 (2.2185)	Prec@1 39.062 (44.288)	Prec@5 75.781 (74.870)
Epoch: [36][2400/14090]	Time 0.754 (0.773)	Data 0.001 (0.003)	Loss 1.9366 (2.2186)	Prec@1 50.781 (44.282)	Prec@5 78.125 (74.872)
Epoch: [36][2410/14090]	Time 0.747 (0.773)	Data 0.001 (0.003)	Loss 2.1335 (2.2187)	Prec@1 44.531 (44.275)	Prec@5 82.031 (74.871)
Epoch: [36][2420/14090]	Time 0.759 (0.773)	Data 0.001 (0.003)	Loss 2.4290 (2.2186)	Prec@1 42.969 (44.274)	Prec@5 71.094 (74.875)
Epoch: [36][2430/14090]	Time 0.766 (0.773)	Data 0.001 (0.003)	Loss 2.1377 (2.2183)	Prec@1 45.312 (44.280)	Prec@5 77.344 (74.886)
Epoch: [36][2440/14090]	Time 0.777 (0.773)	Data 0.001 (0.003)	Loss 2.3644 (2.2181)	Prec@1 42.188 (44.284)	Prec@5 71.094 (74.890)
Epoch: [36][2450/14090]	Time 0.893 (0.773)	Data 0.001 (0.003)	Loss 2.2666 (2.2183)	Prec@1 48.438 (44.280)	Prec@5 69.531 (74.887)
Epoch: [36][2460/14090]	Time 0.747 (0.773)	Data 0.001 (0.003)	Loss 2.2014 (2.2184)	Prec@1 36.719 (44.278)	Prec@5 75.000 (74.884)
Epoch: [36][2470/14090]	Time 0.737 (0.773)	Data 0.001 (0.003)	Loss 2.7180 (2.2186)	Prec@1 38.281 (44.278)	Prec@5 64.062 (74.877)
Epoch: [36][2480/14090]	Time 0.742 (0.773)	Data 0.001 (0.003)	Loss 2.1783 (2.2186)	Prec@1 45.312 (44.272)	Prec@5 71.875 (74.873)
Epoch: [36][2490/14090]	Time 0.759 (0.773)	Data 0.001 (0.003)	Loss 2.2667 (2.2188)	Prec@1 39.844 (44.265)	Prec@5 76.562 (74.872)
Epoch: [36][2500/14090]	Time 0.732 (0.773)	Data 0.001 (0.003)	Loss 2.5149 (2.2195)	Prec@1 37.500 (44.250)	Prec@5 69.531 (74.858)
Epoch: [36][2510/14090]	Time 0.781 (0.773)	Data 0.001 (0.003)	Loss 2.2885 (2.2196)	Prec@1 46.875 (44.253)	Prec@5 71.094 (74.860)
Epoch: [36][2520/14090]	Time 0.876 (0.773)	Data 0.001 (0.003)	Loss 2.3666 (2.2198)	Prec@1 42.188 (44.250)	Prec@5 73.438 (74.853)
Epoch: [36][2530/14090]	Time 0.736 (0.773)	Data 0.001 (0.003)	Loss 2.3403 (2.2196)	Prec@1 41.406 (44.250)	Prec@5 72.656 (74.858)
Epoch: [36][2540/14090]	Time 0.753 (0.773)	Data 0.001 (0.003)	Loss 2.3830 (2.2193)	Prec@1 46.875 (44.255)	Prec@5 70.312 (74.863)
Epoch: [36][2550/14090]	Time 0.759 (0.773)	Data 0.001 (0.003)	Loss 2.1144 (2.2192)	Prec@1 46.875 (44.255)	Prec@5 78.125 (74.862)
Epoch: [36][2560/14090]	Time 0.748 (0.773)	Data 0.001 (0.003)	Loss 2.2015 (2.2191)	Prec@1 43.750 (44.255)	Prec@5 75.000 (74.867)
Epoch: [36][2570/14090]	Time 0.739 (0.773)	Data 0.001 (0.003)	Loss 2.2206 (2.2193)	Prec@1 41.406 (44.255)	Prec@5 76.562 (74.865)
Epoch: [36][2580/14090]	Time 0.778 (0.773)	Data 0.001 (0.003)	Loss 2.4245 (2.2193)	Prec@1 37.500 (44.250)	Prec@5 71.094 (74.863)
Epoch: [36][2590/14090]	Time 0.877 (0.773)	Data 0.001 (0.003)	Loss 2.4622 (2.2194)	Prec@1 37.500 (44.250)	Prec@5 75.000 (74.859)
Epoch: [36][2600/14090]	Time 0.743 (0.773)	Data 0.001 (0.003)	Loss 1.9405 (2.2193)	Prec@1 42.969 (44.250)	Prec@5 76.562 (74.860)
Epoch: [36][2610/14090]	Time 0.749 (0.773)	Data 0.001 (0.003)	Loss 2.4172 (2.2195)	Prec@1 40.625 (44.241)	Prec@5 70.312 (74.853)
Epoch: [36][2620/14090]	Time 0.757 (0.773)	Data 0.002 (0.003)	Loss 2.2470 (2.2195)	Prec@1 43.750 (44.239)	Prec@5 75.781 (74.858)
Epoch: [36][2630/14090]	Time 0.747 (0.773)	Data 0.001 (0.003)	Loss 2.2865 (2.2197)	Prec@1 41.406 (44.236)	Prec@5 72.656 (74.854)
Epoch: [36][2640/14090]	Time 0.730 (0.773)	Data 0.001 (0.003)	Loss 2.2206 (2.2198)	Prec@1 47.656 (44.234)	Prec@5 71.094 (74.857)
Epoch: [36][2650/14090]	Time 0.751 (0.773)	Data 0.001 (0.003)	Loss 2.3243 (2.2199)	Prec@1 42.969 (44.227)	Prec@5 76.562 (74.853)
Epoch: [36][2660/14090]	Time 0.875 (0.773)	Data 0.001 (0.003)	Loss 2.0121 (2.2199)	Prec@1 40.625 (44.221)	Prec@5 80.469 (74.854)
Epoch: [36][2670/14090]	Time 0.755 (0.773)	Data 0.001 (0.003)	Loss 2.4092 (2.2199)	Prec@1 41.406 (44.228)	Prec@5 72.656 (74.853)
Epoch: [36][2680/14090]	Time 0.733 (0.773)	Data 0.001 (0.003)	Loss 2.1821 (2.2199)	Prec@1 42.188 (44.221)	Prec@5 77.344 (74.856)
Epoch: [36][2690/14090]	Time 0.743 (0.773)	Data 0.001 (0.003)	Loss 2.0414 (2.2199)	Prec@1 49.219 (44.220)	Prec@5 77.344 (74.860)
Epoch: [36][2700/14090]	Time 0.741 (0.773)	Data 0.001 (0.003)	Loss 2.3681 (2.2196)	Prec@1 35.156 (44.223)	Prec@5 75.000 (74.865)
Epoch: [36][2710/14090]	Time 0.754 (0.773)	Data 0.001 (0.003)	Loss 2.1429 (2.2194)	Prec@1 46.094 (44.230)	Prec@5 73.438 (74.863)
Epoch: [36][2720/14090]	Time 0.780 (0.773)	Data 0.001 (0.003)	Loss 2.3380 (2.2195)	Prec@1 37.500 (44.229)	Prec@5 71.094 (74.860)
Epoch: [36][2730/14090]	Time 0.872 (0.773)	Data 0.001 (0.003)	Loss 1.9902 (2.2199)	Prec@1 46.875 (44.218)	Prec@5 75.781 (74.849)
Epoch: [36][2740/14090]	Time 0.786 (0.773)	Data 0.001 (0.003)	Loss 2.3260 (2.2198)	Prec@1 42.969 (44.215)	Prec@5 70.312 (74.855)
Epoch: [36][2750/14090]	Time 0.760 (0.773)	Data 0.001 (0.003)	Loss 2.2436 (2.2201)	Prec@1 39.844 (44.209)	Prec@5 71.094 (74.845)
Epoch: [36][2760/14090]	Time 0.756 (0.773)	Data 0.001 (0.003)	Loss 2.3382 (2.2200)	Prec@1 38.281 (44.211)	Prec@5 71.094 (74.843)
Epoch: [36][2770/14090]	Time 0.748 (0.773)	Data 0.001 (0.003)	Loss 2.1827 (2.2200)	Prec@1 43.750 (44.213)	Prec@5 75.781 (74.843)
Epoch: [36][2780/14090]	Time 0.756 (0.773)	Data 0.001 (0.003)	Loss 1.9903 (2.2200)	Prec@1 50.781 (44.214)	Prec@5 78.125 (74.841)
Epoch: [36][2790/14090]	Time 0.775 (0.773)	Data 0.001 (0.003)	Loss 2.2341 (2.2199)	Prec@1 43.750 (44.219)	Prec@5 78.906 (74.845)
Epoch: [36][2800/14090]	Time 0.906 (0.773)	Data 0.001 (0.003)	Loss 2.2010 (2.2200)	Prec@1 44.531 (44.219)	Prec@5 76.562 (74.848)
Epoch: [36][2810/14090]	Time 0.756 (0.773)	Data 0.001 (0.003)	Loss 2.3242 (2.2201)	Prec@1 37.500 (44.223)	Prec@5 73.438 (74.850)
Epoch: [36][2820/14090]	Time 0.757 (0.773)	Data 0.001 (0.003)	Loss 2.1697 (2.2202)	Prec@1 42.188 (44.213)	Prec@5 75.781 (74.848)
Epoch: [36][2830/14090]	Time 0.804 (0.773)	Data 0.001 (0.002)	Loss 2.0127 (2.2202)	Prec@1 44.531 (44.216)	Prec@5 75.781 (74.847)
Epoch: [36][2840/14090]	Time 0.743 (0.773)	Data 0.001 (0.002)	Loss 2.3155 (2.2204)	Prec@1 36.719 (44.210)	Prec@5 71.094 (74.844)
Epoch: [36][2850/14090]	Time 0.723 (0.773)	Data 0.001 (0.002)	Loss 2.2511 (2.2207)	Prec@1 45.312 (44.205)	Prec@5 73.438 (74.839)
Epoch: [36][2860/14090]	Time 0.761 (0.773)	Data 0.001 (0.002)	Loss 2.2070 (2.2206)	Prec@1 50.000 (44.213)	Prec@5 74.219 (74.843)
Epoch: [36][2870/14090]	Time 0.876 (0.773)	Data 0.001 (0.002)	Loss 2.1503 (2.2206)	Prec@1 48.438 (44.210)	Prec@5 75.781 (74.843)
Epoch: [36][2880/14090]	Time 0.746 (0.773)	Data 0.001 (0.002)	Loss 2.1163 (2.2208)	Prec@1 50.000 (44.212)	Prec@5 74.219 (74.836)
Epoch: [36][2890/14090]	Time 0.751 (0.773)	Data 0.001 (0.002)	Loss 2.0197 (2.2206)	Prec@1 49.219 (44.216)	Prec@5 78.125 (74.844)
Epoch: [36][2900/14090]	Time 0.734 (0.773)	Data 0.001 (0.002)	Loss 2.1397 (2.2207)	Prec@1 41.406 (44.213)	Prec@5 82.031 (74.842)
Epoch: [36][2910/14090]	Time 0.746 (0.773)	Data 0.001 (0.002)	Loss 2.1905 (2.2210)	Prec@1 46.094 (44.204)	Prec@5 76.562 (74.837)
Epoch: [36][2920/14090]	Time 0.747 (0.773)	Data 0.001 (0.002)	Loss 2.0803 (2.2209)	Prec@1 46.094 (44.208)	Prec@5 75.781 (74.836)
Epoch: [36][2930/14090]	Time 0.733 (0.773)	Data 0.001 (0.002)	Loss 2.4603 (2.2211)	Prec@1 44.531 (44.206)	Prec@5 67.969 (74.835)
Epoch: [36][2940/14090]	Time 0.857 (0.773)	Data 0.001 (0.002)	Loss 2.1361 (2.2211)	Prec@1 48.438 (44.206)	Prec@5 74.219 (74.836)
Epoch: [36][2950/14090]	Time 0.742 (0.773)	Data 0.001 (0.002)	Loss 2.4336 (2.2212)	Prec@1 35.156 (44.201)	Prec@5 72.656 (74.834)
Epoch: [36][2960/14090]	Time 0.770 (0.773)	Data 0.001 (0.002)	Loss 1.9691 (2.2211)	Prec@1 46.875 (44.203)	Prec@5 81.250 (74.834)
Epoch: [36][2970/14090]	Time 0.757 (0.773)	Data 0.001 (0.002)	Loss 2.1466 (2.2213)	Prec@1 47.656 (44.201)	Prec@5 72.656 (74.830)
Epoch: [36][2980/14090]	Time 0.744 (0.773)	Data 0.001 (0.002)	Loss 2.1997 (2.2208)	Prec@1 46.094 (44.213)	Prec@5 75.781 (74.836)
Epoch: [36][2990/14090]	Time 0.738 (0.773)	Data 0.001 (0.002)	Loss 2.3126 (2.2207)	Prec@1 43.750 (44.218)	Prec@5 73.438 (74.841)
Epoch: [36][3000/14090]	Time 0.738 (0.773)	Data 0.001 (0.002)	Loss 2.4987 (2.2210)	Prec@1 40.625 (44.212)	Prec@5 67.969 (74.835)
Epoch: [36][3010/14090]	Time 0.910 (0.773)	Data 0.001 (0.002)	Loss 2.1552 (2.2206)	Prec@1 42.969 (44.218)	Prec@5 75.781 (74.842)
Epoch: [36][3020/14090]	Time 0.770 (0.773)	Data 0.001 (0.002)	Loss 2.2766 (2.2207)	Prec@1 50.781 (44.218)	Prec@5 74.219 (74.838)
Epoch: [36][3030/14090]	Time 0.749 (0.773)	Data 0.001 (0.002)	Loss 2.3407 (2.2206)	Prec@1 42.188 (44.221)	Prec@5 74.219 (74.840)
Epoch: [36][3040/14090]	Time 0.735 (0.773)	Data 0.001 (0.002)	Loss 2.3926 (2.2206)	Prec@1 41.406 (44.214)	Prec@5 74.219 (74.844)
Epoch: [36][3050/14090]	Time 0.753 (0.773)	Data 0.001 (0.002)	Loss 2.2417 (2.2207)	Prec@1 41.406 (44.213)	Prec@5 70.312 (74.839)
Epoch: [36][3060/14090]	Time 0.735 (0.773)	Data 0.001 (0.002)	Loss 2.2527 (2.2208)	Prec@1 39.062 (44.212)	Prec@5 71.875 (74.837)
Epoch: [36][3070/14090]	Time 0.762 (0.773)	Data 0.001 (0.002)	Loss 2.2074 (2.2210)	Prec@1 46.875 (44.214)	Prec@5 78.125 (74.837)
Epoch: [36][3080/14090]	Time 0.927 (0.773)	Data 0.001 (0.002)	Loss 1.9724 (2.2209)	Prec@1 48.438 (44.217)	Prec@5 78.906 (74.835)
Epoch: [36][3090/14090]	Time 0.767 (0.773)	Data 0.001 (0.002)	Loss 2.0917 (2.2211)	Prec@1 47.656 (44.209)	Prec@5 75.781 (74.831)
Epoch: [36][3100/14090]	Time 0.770 (0.773)	Data 0.001 (0.002)	Loss 2.1687 (2.2211)	Prec@1 47.656 (44.213)	Prec@5 77.344 (74.834)
Epoch: [36][3110/14090]	Time 0.781 (0.773)	Data 0.001 (0.002)	Loss 2.2023 (2.2214)	Prec@1 39.062 (44.206)	Prec@5 73.438 (74.824)
Epoch: [36][3120/14090]	Time 0.744 (0.773)	Data 0.001 (0.002)	Loss 2.3474 (2.2215)	Prec@1 41.406 (44.204)	Prec@5 72.656 (74.826)
Epoch: [36][3130/14090]	Time 0.752 (0.773)	Data 0.003 (0.002)	Loss 2.3277 (2.2212)	Prec@1 45.312 (44.212)	Prec@5 71.875 (74.832)
Epoch: [36][3140/14090]	Time 0.769 (0.773)	Data 0.001 (0.002)	Loss 2.1654 (2.2213)	Prec@1 42.969 (44.210)	Prec@5 72.656 (74.827)
Epoch: [36][3150/14090]	Time 1.032 (0.773)	Data 0.003 (0.002)	Loss 2.0060 (2.2213)	Prec@1 50.781 (44.213)	Prec@5 75.781 (74.829)
Epoch: [36][3160/14090]	Time 0.756 (0.773)	Data 0.001 (0.002)	Loss 2.4158 (2.2214)	Prec@1 35.156 (44.207)	Prec@5 70.312 (74.823)
Epoch: [36][3170/14090]	Time 0.758 (0.773)	Data 0.001 (0.002)	Loss 2.2121 (2.2217)	Prec@1 42.969 (44.202)	Prec@5 80.469 (74.823)
Epoch: [36][3180/14090]	Time 0.779 (0.773)	Data 0.001 (0.002)	Loss 2.3041 (2.2219)	Prec@1 37.500 (44.198)	Prec@5 75.781 (74.816)
Epoch: [36][3190/14090]	Time 0.734 (0.773)	Data 0.001 (0.002)	Loss 2.3390 (2.2217)	Prec@1 42.188 (44.196)	Prec@5 71.875 (74.819)
Epoch: [36][3200/14090]	Time 0.733 (0.773)	Data 0.001 (0.002)	Loss 2.1497 (2.2216)	Prec@1 46.875 (44.201)	Prec@5 77.344 (74.817)
Epoch: [36][3210/14090]	Time 0.740 (0.773)	Data 0.001 (0.002)	Loss 2.6229 (2.2217)	Prec@1 32.031 (44.197)	Prec@5 67.188 (74.816)
Epoch: [36][3220/14090]	Time 0.875 (0.773)	Data 0.001 (0.002)	Loss 2.1256 (2.2216)	Prec@1 49.219 (44.206)	Prec@5 75.781 (74.815)
Epoch: [36][3230/14090]	Time 0.728 (0.773)	Data 0.001 (0.002)	Loss 2.4200 (2.2216)	Prec@1 39.062 (44.208)	Prec@5 72.656 (74.816)
Epoch: [36][3240/14090]	Time 0.754 (0.773)	Data 0.001 (0.002)	Loss 2.1088 (2.2218)	Prec@1 42.188 (44.200)	Prec@5 74.219 (74.816)
Epoch: [36][3250/14090]	Time 0.779 (0.773)	Data 0.001 (0.002)	Loss 2.0673 (2.2217)	Prec@1 50.000 (44.201)	Prec@5 78.906 (74.814)
Epoch: [36][3260/14090]	Time 0.755 (0.773)	Data 0.001 (0.002)	Loss 2.3735 (2.2217)	Prec@1 41.406 (44.202)	Prec@5 68.750 (74.813)
Epoch: [36][3270/14090]	Time 0.726 (0.773)	Data 0.001 (0.002)	Loss 2.1750 (2.2218)	Prec@1 46.875 (44.202)	Prec@5 75.781 (74.811)
Epoch: [36][3280/14090]	Time 0.745 (0.773)	Data 0.001 (0.002)	Loss 2.4619 (2.2218)	Prec@1 42.969 (44.202)	Prec@5 69.531 (74.806)
Epoch: [36][3290/14090]	Time 0.872 (0.773)	Data 0.001 (0.002)	Loss 2.2227 (2.2218)	Prec@1 43.750 (44.203)	Prec@5 74.219 (74.805)
Epoch: [36][3300/14090]	Time 0.779 (0.773)	Data 0.001 (0.002)	Loss 2.1816 (2.2218)	Prec@1 47.656 (44.203)	Prec@5 74.219 (74.812)
Epoch: [36][3310/14090]	Time 0.756 (0.773)	Data 0.001 (0.002)	Loss 2.3147 (2.2215)	Prec@1 39.062 (44.204)	Prec@5 71.094 (74.815)
Epoch: [36][3320/14090]	Time 0.748 (0.773)	Data 0.001 (0.002)	Loss 2.2632 (2.2214)	Prec@1 42.188 (44.205)	Prec@5 77.344 (74.819)
Epoch: [36][3330/14090]	Time 0.785 (0.773)	Data 0.001 (0.002)	Loss 2.1337 (2.2216)	Prec@1 49.219 (44.201)	Prec@5 75.000 (74.813)
Epoch: [36][3340/14090]	Time 0.740 (0.773)	Data 0.001 (0.002)	Loss 2.0231 (2.2218)	Prec@1 49.219 (44.200)	Prec@5 81.250 (74.805)
Epoch: [36][3350/14090]	Time 0.741 (0.773)	Data 0.001 (0.002)	Loss 2.0303 (2.2217)	Prec@1 50.000 (44.205)	Prec@5 82.812 (74.805)
Epoch: [36][3360/14090]	Time 0.856 (0.773)	Data 0.001 (0.002)	Loss 2.1534 (2.2217)	Prec@1 45.312 (44.202)	Prec@5 78.125 (74.807)
Epoch: [36][3370/14090]	Time 0.737 (0.773)	Data 0.001 (0.002)	Loss 2.2213 (2.2218)	Prec@1 46.094 (44.196)	Prec@5 71.094 (74.803)
Epoch: [36][3380/14090]	Time 0.741 (0.773)	Data 0.001 (0.002)	Loss 2.0400 (2.2219)	Prec@1 49.219 (44.196)	Prec@5 77.344 (74.798)
Epoch: [36][3390/14090]	Time 0.737 (0.773)	Data 0.001 (0.002)	Loss 2.4428 (2.2218)	Prec@1 44.531 (44.200)	Prec@5 70.312 (74.801)
Epoch: [36][3400/14090]	Time 0.744 (0.773)	Data 0.001 (0.002)	Loss 2.2194 (2.2219)	Prec@1 42.188 (44.197)	Prec@5 75.781 (74.799)
Epoch: [36][3410/14090]	Time 0.760 (0.773)	Data 0.001 (0.002)	Loss 2.4937 (2.2218)	Prec@1 43.750 (44.198)	Prec@5 67.969 (74.801)
Epoch: [36][3420/14090]	Time 0.743 (0.773)	Data 0.001 (0.002)	Loss 2.0942 (2.2219)	Prec@1 45.312 (44.193)	Prec@5 75.781 (74.797)
Epoch: [36][3430/14090]	Time 0.868 (0.773)	Data 0.001 (0.002)	Loss 2.1110 (2.2218)	Prec@1 42.969 (44.194)	Prec@5 75.000 (74.798)
Epoch: [36][3440/14090]	Time 0.735 (0.773)	Data 0.001 (0.002)	Loss 2.2450 (2.2217)	Prec@1 42.969 (44.196)	Prec@5 76.562 (74.803)
Epoch: [36][3450/14090]	Time 0.743 (0.773)	Data 0.001 (0.002)	Loss 2.3451 (2.2214)	Prec@1 39.844 (44.203)	Prec@5 72.656 (74.808)
Epoch: [36][3460/14090]	Time 0.738 (0.773)	Data 0.001 (0.002)	Loss 2.0487 (2.2212)	Prec@1 42.969 (44.205)	Prec@5 75.781 (74.812)
Epoch: [36][3470/14090]	Time 0.750 (0.773)	Data 0.001 (0.002)	Loss 2.3535 (2.2214)	Prec@1 42.969 (44.201)	Prec@5 69.531 (74.803)
Epoch: [36][3480/14090]	Time 0.746 (0.773)	Data 0.001 (0.002)	Loss 2.0869 (2.2216)	Prec@1 44.531 (44.202)	Prec@5 79.688 (74.796)
Epoch: [36][3490/14090]	Time 0.728 (0.773)	Data 0.001 (0.002)	Loss 2.4728 (2.2217)	Prec@1 37.500 (44.199)	Prec@5 74.219 (74.795)
Epoch: [36][3500/14090]	Time 0.855 (0.773)	Data 0.001 (0.002)	Loss 1.9054 (2.2217)	Prec@1 47.656 (44.201)	Prec@5 85.938 (74.805)
Epoch: [36][3510/14090]	Time 0.750 (0.772)	Data 0.001 (0.002)	Loss 2.2411 (2.2216)	Prec@1 45.312 (44.202)	Prec@5 74.219 (74.806)
Epoch: [36][3520/14090]	Time 0.747 (0.772)	Data 0.001 (0.002)	Loss 1.9699 (2.2215)	Prec@1 50.000 (44.205)	Prec@5 77.344 (74.807)
Epoch: [36][3530/14090]	Time 0.749 (0.772)	Data 0.001 (0.002)	Loss 2.1309 (2.2216)	Prec@1 49.219 (44.204)	Prec@5 75.000 (74.807)
Epoch: [36][3540/14090]	Time 0.757 (0.772)	Data 0.001 (0.002)	Loss 2.2861 (2.2214)	Prec@1 42.188 (44.212)	Prec@5 69.531 (74.806)
Epoch: [36][3550/14090]	Time 0.734 (0.772)	Data 0.001 (0.002)	Loss 2.3645 (2.2216)	Prec@1 43.750 (44.205)	Prec@5 70.312 (74.801)
Epoch: [36][3560/14090]	Time 0.734 (0.772)	Data 0.001 (0.002)	Loss 2.1162 (2.2217)	Prec@1 48.438 (44.203)	Prec@5 76.562 (74.797)
Epoch: [36][3570/14090]	Time 0.865 (0.772)	Data 0.001 (0.002)	Loss 2.1437 (2.2217)	Prec@1 42.969 (44.203)	Prec@5 78.906 (74.800)
Epoch: [36][3580/14090]	Time 0.780 (0.772)	Data 0.001 (0.002)	Loss 2.1353 (2.2217)	Prec@1 50.000 (44.203)	Prec@5 73.438 (74.799)
Epoch: [36][3590/14090]	Time 0.739 (0.772)	Data 0.001 (0.002)	Loss 2.2035 (2.2215)	Prec@1 45.312 (44.206)	Prec@5 73.438 (74.806)
Epoch: [36][3600/14090]	Time 0.749 (0.772)	Data 0.001 (0.002)	Loss 2.6159 (2.2215)	Prec@1 38.281 (44.203)	Prec@5 66.406 (74.803)
Epoch: [36][3610/14090]	Time 0.745 (0.772)	Data 0.001 (0.002)	Loss 2.1477 (2.2216)	Prec@1 52.344 (44.202)	Prec@5 77.344 (74.803)
Epoch: [36][3620/14090]	Time 0.750 (0.772)	Data 0.001 (0.002)	Loss 2.4975 (2.2217)	Prec@1 40.625 (44.201)	Prec@5 71.094 (74.803)
Epoch: [36][3630/14090]	Time 0.776 (0.772)	Data 0.001 (0.002)	Loss 2.3805 (2.2218)	Prec@1 45.312 (44.201)	Prec@5 68.750 (74.801)
Epoch: [36][3640/14090]	Time 0.994 (0.772)	Data 0.001 (0.002)	Loss 2.6139 (2.2217)	Prec@1 39.062 (44.202)	Prec@5 66.406 (74.803)
Epoch: [36][3650/14090]	Time 0.736 (0.772)	Data 0.001 (0.002)	Loss 2.1293 (2.2218)	Prec@1 46.875 (44.206)	Prec@5 78.906 (74.800)
Epoch: [36][3660/14090]	Time 0.739 (0.772)	Data 0.001 (0.002)	Loss 2.4989 (2.2220)	Prec@1 35.156 (44.204)	Prec@5 71.094 (74.794)
Epoch: [36][3670/14090]	Time 0.761 (0.772)	Data 0.001 (0.002)	Loss 2.2618 (2.2221)	Prec@1 44.531 (44.203)	Prec@5 72.656 (74.791)
Epoch: [36][3680/14090]	Time 0.784 (0.772)	Data 0.001 (0.002)	Loss 2.3407 (2.2220)	Prec@1 40.625 (44.209)	Prec@5 70.312 (74.795)
Epoch: [36][3690/14090]	Time 0.760 (0.772)	Data 0.001 (0.002)	Loss 1.7418 (2.2220)	Prec@1 52.344 (44.206)	Prec@5 82.031 (74.792)
Epoch: [36][3700/14090]	Time 0.730 (0.772)	Data 0.001 (0.002)	Loss 2.4126 (2.2221)	Prec@1 35.156 (44.205)	Prec@5 73.438 (74.790)
Epoch: [36][3710/14090]	Time 0.849 (0.772)	Data 0.001 (0.002)	Loss 2.0911 (2.2222)	Prec@1 52.344 (44.206)	Prec@5 77.344 (74.789)
Epoch: [36][3720/14090]	Time 0.753 (0.772)	Data 0.002 (0.002)	Loss 2.3094 (2.2222)	Prec@1 43.750 (44.202)	Prec@5 75.000 (74.788)
Epoch: [36][3730/14090]	Time 0.765 (0.772)	Data 0.001 (0.002)	Loss 1.9812 (2.2219)	Prec@1 51.562 (44.208)	Prec@5 78.906 (74.794)
Epoch: [36][3740/14090]	Time 0.775 (0.772)	Data 0.001 (0.002)	Loss 2.4207 (2.2220)	Prec@1 33.594 (44.207)	Prec@5 71.094 (74.794)
Epoch: [36][3750/14090]	Time 0.738 (0.772)	Data 0.001 (0.002)	Loss 2.1678 (2.2219)	Prec@1 44.531 (44.211)	Prec@5 78.125 (74.796)
Epoch: [36][3760/14090]	Time 0.758 (0.772)	Data 0.001 (0.002)	Loss 2.1869 (2.2219)	Prec@1 45.312 (44.208)	Prec@5 73.438 (74.796)
Epoch: [36][3770/14090]	Time 0.729 (0.772)	Data 0.001 (0.002)	Loss 2.2640 (2.2217)	Prec@1 49.219 (44.217)	Prec@5 72.656 (74.799)
Epoch: [36][3780/14090]	Time 0.875 (0.772)	Data 0.001 (0.002)	Loss 2.2278 (2.2218)	Prec@1 42.188 (44.211)	Prec@5 75.781 (74.795)
Epoch: [36][3790/14090]	Time 0.741 (0.772)	Data 0.001 (0.002)	Loss 2.0037 (2.2217)	Prec@1 44.531 (44.213)	Prec@5 78.125 (74.794)
Epoch: [36][3800/14090]	Time 0.766 (0.772)	Data 0.001 (0.002)	Loss 2.3396 (2.2217)	Prec@1 42.188 (44.216)	Prec@5 72.656 (74.795)
Epoch: [36][3810/14090]	Time 0.774 (0.772)	Data 0.001 (0.002)	Loss 2.1331 (2.2216)	Prec@1 46.094 (44.214)	Prec@5 75.781 (74.796)
Epoch: [36][3820/14090]	Time 0.727 (0.772)	Data 0.001 (0.002)	Loss 2.5010 (2.2221)	Prec@1 43.750 (44.209)	Prec@5 71.875 (74.789)
Epoch: [36][3830/14090]	Time 0.752 (0.772)	Data 0.001 (0.002)	Loss 2.3207 (2.2222)	Prec@1 41.406 (44.208)	Prec@5 70.312 (74.786)
Epoch: [36][3840/14090]	Time 0.773 (0.772)	Data 0.001 (0.002)	Loss 2.0726 (2.2222)	Prec@1 52.344 (44.210)	Prec@5 77.344 (74.785)
Epoch: [36][3850/14090]	Time 0.915 (0.772)	Data 0.001 (0.002)	Loss 2.3164 (2.2223)	Prec@1 44.531 (44.207)	Prec@5 73.438 (74.779)
Epoch: [36][3860/14090]	Time 0.772 (0.772)	Data 0.001 (0.002)	Loss 2.2222 (2.2223)	Prec@1 46.094 (44.204)	Prec@5 74.219 (74.779)
Epoch: [36][3870/14090]	Time 0.733 (0.772)	Data 0.001 (0.002)	Loss 2.2371 (2.2223)	Prec@1 47.656 (44.204)	Prec@5 71.094 (74.777)
Epoch: [36][3880/14090]	Time 0.749 (0.772)	Data 0.002 (0.002)	Loss 2.1843 (2.2221)	Prec@1 44.531 (44.205)	Prec@5 74.219 (74.781)
Epoch: [36][3890/14090]	Time 0.791 (0.772)	Data 0.001 (0.002)	Loss 2.1002 (2.2223)	Prec@1 53.906 (44.204)	Prec@5 71.875 (74.776)
Epoch: [36][3900/14090]	Time 0.756 (0.772)	Data 0.001 (0.002)	Loss 1.9466 (2.2221)	Prec@1 50.781 (44.209)	Prec@5 79.688 (74.778)
Epoch: [36][3910/14090]	Time 0.773 (0.772)	Data 0.001 (0.002)	Loss 2.4672 (2.2219)	Prec@1 36.719 (44.210)	Prec@5 69.531 (74.782)
Epoch: [36][3920/14090]	Time 0.925 (0.772)	Data 0.001 (0.002)	Loss 1.9463 (2.2218)	Prec@1 51.562 (44.207)	Prec@5 78.125 (74.785)
Epoch: [36][3930/14090]	Time 0.744 (0.772)	Data 0.001 (0.002)	Loss 2.2459 (2.2217)	Prec@1 40.625 (44.207)	Prec@5 74.219 (74.788)
Epoch: [36][3940/14090]	Time 0.756 (0.772)	Data 0.001 (0.002)	Loss 2.1419 (2.2218)	Prec@1 50.781 (44.206)	Prec@5 78.125 (74.787)
Epoch: [36][3950/14090]	Time 0.734 (0.772)	Data 0.001 (0.002)	Loss 2.0682 (2.2218)	Prec@1 44.531 (44.206)	Prec@5 80.469 (74.789)
Epoch: [36][3960/14090]	Time 0.780 (0.772)	Data 0.001 (0.002)	Loss 2.2405 (2.2219)	Prec@1 46.875 (44.207)	Prec@5 75.781 (74.787)
Epoch: [36][3970/14090]	Time 0.751 (0.772)	Data 0.001 (0.002)	Loss 1.9277 (2.2217)	Prec@1 46.875 (44.208)	Prec@5 82.031 (74.790)
Epoch: [36][3980/14090]	Time 0.772 (0.772)	Data 0.001 (0.002)	Loss 2.5715 (2.2215)	Prec@1 39.062 (44.210)	Prec@5 65.625 (74.792)
Epoch: [36][3990/14090]	Time 0.837 (0.772)	Data 0.001 (0.002)	Loss 2.0871 (2.2214)	Prec@1 47.656 (44.213)	Prec@5 71.094 (74.794)
Epoch: [36][4000/14090]	Time 0.782 (0.772)	Data 0.001 (0.002)	Loss 2.4372 (2.2213)	Prec@1 41.406 (44.214)	Prec@5 71.875 (74.797)
Epoch: [36][4010/14090]	Time 0.743 (0.772)	Data 0.001 (0.002)	Loss 2.1430 (2.2212)	Prec@1 47.656 (44.217)	Prec@5 80.469 (74.799)
Epoch: [36][4020/14090]	Time 0.758 (0.772)	Data 0.001 (0.002)	Loss 2.2886 (2.2215)	Prec@1 43.750 (44.211)	Prec@5 72.656 (74.794)
Epoch: [36][4030/14090]	Time 0.727 (0.772)	Data 0.001 (0.002)	Loss 2.2642 (2.2215)	Prec@1 42.188 (44.213)	Prec@5 72.656 (74.794)
Epoch: [36][4040/14090]	Time 0.736 (0.772)	Data 0.001 (0.002)	Loss 2.4241 (2.2216)	Prec@1 42.969 (44.210)	Prec@5 69.531 (74.795)
Epoch: [36][4050/14090]	Time 0.737 (0.772)	Data 0.001 (0.002)	Loss 2.4112 (2.2217)	Prec@1 37.500 (44.207)	Prec@5 67.969 (74.790)
Epoch: [36][4060/14090]	Time 0.875 (0.772)	Data 0.001 (0.002)	Loss 2.4461 (2.2217)	Prec@1 35.938 (44.204)	Prec@5 71.875 (74.793)
Epoch: [36][4070/14090]	Time 0.731 (0.772)	Data 0.001 (0.002)	Loss 2.3548 (2.2217)	Prec@1 42.969 (44.202)	Prec@5 72.656 (74.792)
Epoch: [36][4080/14090]	Time 0.747 (0.772)	Data 0.001 (0.002)	Loss 2.4420 (2.2218)	Prec@1 39.062 (44.203)	Prec@5 68.750 (74.788)
Epoch: [36][4090/14090]	Time 0.781 (0.772)	Data 0.001 (0.002)	Loss 2.1500 (2.2219)	Prec@1 44.531 (44.203)	Prec@5 78.125 (74.786)
Epoch: [36][4100/14090]	Time 0.737 (0.772)	Data 0.001 (0.002)	Loss 2.3615 (2.2219)	Prec@1 37.500 (44.204)	Prec@5 73.438 (74.782)
Epoch: [36][4110/14090]	Time 0.750 (0.772)	Data 0.001 (0.002)	Loss 2.1192 (2.2219)	Prec@1 50.000 (44.203)	Prec@5 78.906 (74.780)
Epoch: [36][4120/14090]	Time 0.737 (0.772)	Data 0.001 (0.002)	Loss 2.4590 (2.2221)	Prec@1 39.844 (44.201)	Prec@5 72.656 (74.773)
Epoch: [36][4130/14090]	Time 0.869 (0.772)	Data 0.001 (0.002)	Loss 2.1053 (2.2222)	Prec@1 50.781 (44.206)	Prec@5 84.375 (74.774)
Epoch: [36][4140/14090]	Time 0.768 (0.772)	Data 0.001 (0.002)	Loss 2.4577 (2.2224)	Prec@1 41.406 (44.204)	Prec@5 67.969 (74.773)
Epoch: [36][4150/14090]	Time 0.729 (0.772)	Data 0.001 (0.002)	Loss 2.1176 (2.2225)	Prec@1 46.875 (44.204)	Prec@5 75.000 (74.772)
Epoch: [36][4160/14090]	Time 0.735 (0.772)	Data 0.001 (0.002)	Loss 2.1358 (2.2226)	Prec@1 50.781 (44.207)	Prec@5 71.875 (74.772)
Epoch: [36][4170/14090]	Time 0.751 (0.772)	Data 0.002 (0.002)	Loss 2.3995 (2.2225)	Prec@1 35.938 (44.206)	Prec@5 72.656 (74.777)
Epoch: [36][4180/14090]	Time 0.747 (0.772)	Data 0.001 (0.002)	Loss 2.1742 (2.2224)	Prec@1 50.000 (44.208)	Prec@5 72.656 (74.777)
Epoch: [36][4190/14090]	Time 0.742 (0.772)	Data 0.001 (0.002)	Loss 2.2335 (2.2225)	Prec@1 44.531 (44.204)	Prec@5 70.312 (74.776)
Epoch: [36][4200/14090]	Time 0.843 (0.772)	Data 0.001 (0.002)	Loss 2.1536 (2.2224)	Prec@1 39.844 (44.203)	Prec@5 77.344 (74.775)
Epoch: [36][4210/14090]	Time 0.778 (0.772)	Data 0.001 (0.002)	Loss 2.1567 (2.2223)	Prec@1 42.188 (44.205)	Prec@5 73.438 (74.776)
Epoch: [36][4220/14090]	Time 0.737 (0.772)	Data 0.001 (0.002)	Loss 2.1130 (2.2224)	Prec@1 51.562 (44.204)	Prec@5 77.344 (74.774)
Epoch: [36][4230/14090]	Time 0.741 (0.772)	Data 0.001 (0.002)	Loss 2.5621 (2.2226)	Prec@1 35.938 (44.201)	Prec@5 71.094 (74.770)
Epoch: [36][4240/14090]	Time 0.742 (0.772)	Data 0.001 (0.002)	Loss 2.2453 (2.2226)	Prec@1 41.406 (44.200)	Prec@5 74.219 (74.771)
Epoch: [36][4250/14090]	Time 0.762 (0.772)	Data 0.001 (0.002)	Loss 2.3713 (2.2228)	Prec@1 38.281 (44.197)	Prec@5 68.750 (74.770)
Epoch: [36][4260/14090]	Time 0.761 (0.772)	Data 0.003 (0.002)	Loss 1.9373 (2.2227)	Prec@1 50.000 (44.198)	Prec@5 78.906 (74.768)
Epoch: [36][4270/14090]	Time 0.901 (0.772)	Data 0.001 (0.002)	Loss 2.2086 (2.2230)	Prec@1 45.312 (44.196)	Prec@5 77.344 (74.765)
Epoch: [36][4280/14090]	Time 0.749 (0.772)	Data 0.001 (0.002)	Loss 2.1014 (2.2229)	Prec@1 46.094 (44.197)	Prec@5 75.781 (74.768)
Epoch: [36][4290/14090]	Time 0.742 (0.772)	Data 0.001 (0.002)	Loss 2.3233 (2.2228)	Prec@1 41.406 (44.197)	Prec@5 73.438 (74.772)
Epoch: [36][4300/14090]	Time 0.767 (0.772)	Data 0.001 (0.002)	Loss 2.2180 (2.2228)	Prec@1 47.656 (44.201)	Prec@5 75.000 (74.774)
Epoch: [36][4310/14090]	Time 0.725 (0.772)	Data 0.001 (0.002)	Loss 2.3530 (2.2228)	Prec@1 45.312 (44.201)	Prec@5 74.219 (74.773)
Epoch: [36][4320/14090]	Time 0.761 (0.772)	Data 0.001 (0.002)	Loss 2.3650 (2.2229)	Prec@1 39.062 (44.196)	Prec@5 74.219 (74.773)
Epoch: [36][4330/14090]	Time 0.770 (0.772)	Data 0.002 (0.002)	Loss 2.4328 (2.2229)	Prec@1 36.719 (44.194)	Prec@5 73.438 (74.773)
Epoch: [36][4340/14090]	Time 0.867 (0.772)	Data 0.001 (0.002)	Loss 1.9820 (2.2230)	Prec@1 50.000 (44.196)	Prec@5 80.469 (74.771)
Epoch: [36][4350/14090]	Time 0.749 (0.772)	Data 0.001 (0.002)	Loss 2.5632 (2.2231)	Prec@1 35.156 (44.195)	Prec@5 73.438 (74.770)
Epoch: [36][4360/14090]	Time 0.744 (0.772)	Data 0.001 (0.002)	Loss 1.9477 (2.2230)	Prec@1 52.344 (44.199)	Prec@5 78.906 (74.771)
Epoch: [36][4370/14090]	Time 0.764 (0.772)	Data 0.001 (0.002)	Loss 2.2733 (2.2232)	Prec@1 44.531 (44.195)	Prec@5 75.000 (74.768)
Epoch: [36][4380/14090]	Time 0.734 (0.772)	Data 0.001 (0.002)	Loss 2.3886 (2.2233)	Prec@1 39.062 (44.193)	Prec@5 72.656 (74.766)
Epoch: [36][4390/14090]	Time 0.732 (0.772)	Data 0.001 (0.002)	Loss 2.0680 (2.2233)	Prec@1 45.312 (44.192)	Prec@5 79.688 (74.767)
Epoch: [36][4400/14090]	Time 0.750 (0.772)	Data 0.001 (0.002)	Loss 1.8992 (2.2232)	Prec@1 52.344 (44.193)	Prec@5 77.344 (74.767)
Epoch: [36][4410/14090]	Time 0.939 (0.772)	Data 0.001 (0.002)	Loss 2.1184 (2.2233)	Prec@1 53.125 (44.197)	Prec@5 75.000 (74.763)
Epoch: [36][4420/14090]	Time 0.751 (0.772)	Data 0.001 (0.002)	Loss 1.9728 (2.2232)	Prec@1 49.219 (44.198)	Prec@5 82.812 (74.763)
Epoch: [36][4430/14090]	Time 0.729 (0.772)	Data 0.001 (0.002)	Loss 2.3603 (2.2233)	Prec@1 42.188 (44.196)	Prec@5 75.781 (74.759)
Epoch: [36][4440/14090]	Time 0.735 (0.772)	Data 0.001 (0.002)	Loss 2.2844 (2.2234)	Prec@1 42.188 (44.194)	Prec@5 71.875 (74.755)
Epoch: [36][4450/14090]	Time 0.753 (0.772)	Data 0.001 (0.002)	Loss 1.8632 (2.2233)	Prec@1 48.438 (44.193)	Prec@5 82.812 (74.756)
Epoch: [36][4460/14090]	Time 0.763 (0.772)	Data 0.001 (0.002)	Loss 1.9710 (2.2233)	Prec@1 48.438 (44.193)	Prec@5 81.250 (74.756)
Epoch: [36][4470/14090]	Time 0.729 (0.772)	Data 0.001 (0.002)	Loss 2.1100 (2.2234)	Prec@1 45.312 (44.191)	Prec@5 75.781 (74.757)
Epoch: [36][4480/14090]	Time 0.872 (0.772)	Data 0.001 (0.002)	Loss 2.3855 (2.2235)	Prec@1 40.625 (44.193)	Prec@5 71.094 (74.755)
Epoch: [36][4490/14090]	Time 0.753 (0.772)	Data 0.001 (0.002)	Loss 2.5260 (2.2236)	Prec@1 37.500 (44.186)	Prec@5 71.094 (74.751)
Epoch: [36][4500/14090]	Time 0.773 (0.772)	Data 0.001 (0.002)	Loss 2.2841 (2.2236)	Prec@1 46.875 (44.184)	Prec@5 71.094 (74.751)
Epoch: [36][4510/14090]	Time 0.751 (0.772)	Data 0.001 (0.002)	Loss 2.3034 (2.2236)	Prec@1 44.531 (44.182)	Prec@5 70.312 (74.753)
Epoch: [36][4520/14090]	Time 0.776 (0.772)	Data 0.001 (0.002)	Loss 2.1046 (2.2236)	Prec@1 50.000 (44.180)	Prec@5 78.906 (74.752)
Epoch: [36][4530/14090]	Time 0.718 (0.772)	Data 0.001 (0.002)	Loss 2.3836 (2.2238)	Prec@1 42.969 (44.179)	Prec@5 70.312 (74.746)
Epoch: [36][4540/14090]	Time 0.765 (0.772)	Data 0.001 (0.002)	Loss 2.2407 (2.2239)	Prec@1 48.438 (44.175)	Prec@5 75.781 (74.745)
Epoch: [36][4550/14090]	Time 0.881 (0.772)	Data 0.001 (0.002)	Loss 2.4227 (2.2240)	Prec@1 42.188 (44.171)	Prec@5 68.750 (74.741)
Epoch: [36][4560/14090]	Time 0.740 (0.772)	Data 0.001 (0.002)	Loss 2.2401 (2.2240)	Prec@1 40.625 (44.171)	Prec@5 73.438 (74.742)
Epoch: [36][4570/14090]	Time 0.744 (0.772)	Data 0.001 (0.002)	Loss 2.1476 (2.2240)	Prec@1 44.531 (44.170)	Prec@5 78.125 (74.743)
Epoch: [36][4580/14090]	Time 0.738 (0.772)	Data 0.001 (0.002)	Loss 2.4082 (2.2240)	Prec@1 39.844 (44.170)	Prec@5 71.875 (74.744)
Epoch: [36][4590/14090]	Time 0.762 (0.772)	Data 0.001 (0.002)	Loss 2.1561 (2.2240)	Prec@1 51.562 (44.168)	Prec@5 76.562 (74.746)
Epoch: [36][4600/14090]	Time 0.727 (0.772)	Data 0.001 (0.002)	Loss 2.1147 (2.2240)	Prec@1 46.094 (44.166)	Prec@5 75.781 (74.746)
Epoch: [36][4610/14090]	Time 0.732 (0.772)	Data 0.001 (0.002)	Loss 1.9885 (2.2240)	Prec@1 44.531 (44.165)	Prec@5 79.688 (74.746)
Epoch: [36][4620/14090]	Time 0.891 (0.772)	Data 0.001 (0.002)	Loss 2.6137 (2.2242)	Prec@1 35.156 (44.164)	Prec@5 69.531 (74.742)
Epoch: [36][4630/14090]	Time 0.756 (0.772)	Data 0.001 (0.002)	Loss 2.2153 (2.2242)	Prec@1 40.625 (44.165)	Prec@5 76.562 (74.742)
Epoch: [36][4640/14090]	Time 0.778 (0.772)	Data 0.001 (0.002)	Loss 2.2447 (2.2243)	Prec@1 39.062 (44.157)	Prec@5 76.562 (74.742)
Epoch: [36][4650/14090]	Time 0.733 (0.772)	Data 0.001 (0.002)	Loss 2.0922 (2.2244)	Prec@1 52.344 (44.156)	Prec@5 75.781 (74.740)
Epoch: [36][4660/14090]	Time 0.743 (0.772)	Data 0.001 (0.002)	Loss 2.5593 (2.2243)	Prec@1 44.531 (44.159)	Prec@5 73.438 (74.744)
Epoch: [36][4670/14090]	Time 0.734 (0.772)	Data 0.003 (0.002)	Loss 2.1518 (2.2242)	Prec@1 46.094 (44.159)	Prec@5 75.000 (74.744)
Epoch: [36][4680/14090]	Time 0.744 (0.772)	Data 0.001 (0.002)	Loss 2.1051 (2.2244)	Prec@1 45.312 (44.159)	Prec@5 78.125 (74.740)
Epoch: [36][4690/14090]	Time 0.902 (0.772)	Data 0.001 (0.002)	Loss 2.3836 (2.2245)	Prec@1 37.500 (44.158)	Prec@5 72.656 (74.740)
Epoch: [36][4700/14090]	Time 0.733 (0.772)	Data 0.001 (0.002)	Loss 2.1970 (2.2243)	Prec@1 43.750 (44.160)	Prec@5 79.688 (74.744)
Epoch: [36][4710/14090]	Time 0.758 (0.772)	Data 0.001 (0.002)	Loss 2.5021 (2.2245)	Prec@1 39.062 (44.157)	Prec@5 66.406 (74.744)
Epoch: [36][4720/14090]	Time 0.728 (0.772)	Data 0.001 (0.002)	Loss 1.9424 (2.2243)	Prec@1 45.312 (44.163)	Prec@5 85.938 (74.750)
Epoch: [36][4730/14090]	Time 0.778 (0.772)	Data 0.001 (0.002)	Loss 2.1957 (2.2244)	Prec@1 44.531 (44.163)	Prec@5 71.094 (74.747)
Epoch: [36][4740/14090]	Time 0.752 (0.772)	Data 0.001 (0.002)	Loss 2.0484 (2.2244)	Prec@1 46.094 (44.166)	Prec@5 81.250 (74.749)
Epoch: [36][4750/14090]	Time 0.735 (0.772)	Data 0.001 (0.002)	Loss 2.3293 (2.2244)	Prec@1 40.625 (44.164)	Prec@5 75.781 (74.748)
Epoch: [36][4760/14090]	Time 0.904 (0.772)	Data 0.001 (0.002)	Loss 2.3303 (2.2245)	Prec@1 40.625 (44.161)	Prec@5 75.000 (74.747)
Epoch: [36][4770/14090]	Time 0.723 (0.772)	Data 0.001 (0.002)	Loss 1.9801 (2.2244)	Prec@1 51.562 (44.161)	Prec@5 75.781 (74.750)
Epoch: [36][4780/14090]	Time 0.753 (0.772)	Data 0.001 (0.002)	Loss 2.2028 (2.2243)	Prec@1 45.312 (44.162)	Prec@5 71.094 (74.751)
Epoch: [36][4790/14090]	Time 0.752 (0.772)	Data 0.001 (0.002)	Loss 2.1361 (2.2243)	Prec@1 40.625 (44.162)	Prec@5 76.562 (74.747)
Epoch: [36][4800/14090]	Time 0.774 (0.772)	Data 0.001 (0.002)	Loss 2.1824 (2.2243)	Prec@1 42.188 (44.168)	Prec@5 70.312 (74.747)
Epoch: [36][4810/14090]	Time 0.748 (0.772)	Data 0.001 (0.002)	Loss 2.0870 (2.2243)	Prec@1 47.656 (44.170)	Prec@5 76.562 (74.745)
Epoch: [36][4820/14090]	Time 0.752 (0.772)	Data 0.001 (0.002)	Loss 2.0426 (2.2243)	Prec@1 46.094 (44.167)	Prec@5 76.562 (74.749)
Epoch: [36][4830/14090]	Time 0.857 (0.772)	Data 0.001 (0.002)	Loss 2.2326 (2.2244)	Prec@1 37.500 (44.160)	Prec@5 74.219 (74.750)
Epoch: [36][4840/14090]	Time 0.753 (0.772)	Data 0.001 (0.002)	Loss 2.0298 (2.2243)	Prec@1 53.125 (44.163)	Prec@5 77.344 (74.749)
Epoch: [36][4850/14090]	Time 0.756 (0.772)	Data 0.001 (0.002)	Loss 2.2505 (2.2243)	Prec@1 42.188 (44.163)	Prec@5 71.875 (74.750)
Epoch: [36][4860/14090]	Time 0.778 (0.772)	Data 0.001 (0.002)	Loss 2.3509 (2.2245)	Prec@1 42.188 (44.158)	Prec@5 73.438 (74.746)
Epoch: [36][4870/14090]	Time 0.758 (0.772)	Data 0.001 (0.002)	Loss 2.2356 (2.2245)	Prec@1 39.062 (44.154)	Prec@5 77.344 (74.749)
Epoch: [36][4880/14090]	Time 0.736 (0.772)	Data 0.001 (0.002)	Loss 1.8776 (2.2245)	Prec@1 52.344 (44.150)	Prec@5 82.031 (74.747)
Epoch: [36][4890/14090]	Time 0.735 (0.772)	Data 0.002 (0.002)	Loss 2.2924 (2.2245)	Prec@1 46.875 (44.153)	Prec@5 75.000 (74.747)
Epoch: [36][4900/14090]	Time 0.877 (0.772)	Data 0.001 (0.002)	Loss 1.9939 (2.2244)	Prec@1 42.969 (44.154)	Prec@5 79.688 (74.752)
Epoch: [36][4910/14090]	Time 0.726 (0.772)	Data 0.001 (0.002)	Loss 2.3122 (2.2243)	Prec@1 41.406 (44.154)	Prec@5 75.781 (74.752)
Epoch: [36][4920/14090]	Time 0.755 (0.772)	Data 0.002 (0.002)	Loss 1.9217 (2.2245)	Prec@1 47.656 (44.149)	Prec@5 76.562 (74.748)
Epoch: [36][4930/14090]	Time 0.776 (0.772)	Data 0.001 (0.002)	Loss 2.0377 (2.2245)	Prec@1 50.781 (44.153)	Prec@5 78.906 (74.748)
Epoch: [36][4940/14090]	Time 0.744 (0.772)	Data 0.001 (0.002)	Loss 2.2515 (2.2244)	Prec@1 40.625 (44.153)	Prec@5 75.000 (74.747)
Epoch: [36][4950/14090]	Time 0.761 (0.772)	Data 0.001 (0.002)	Loss 2.0485 (2.2245)	Prec@1 46.094 (44.150)	Prec@5 82.031 (74.747)
Epoch: [36][4960/14090]	Time 0.774 (0.772)	Data 0.001 (0.002)	Loss 2.4188 (2.2245)	Prec@1 38.281 (44.145)	Prec@5 69.531 (74.747)
Epoch: [36][4970/14090]	Time 0.887 (0.772)	Data 0.001 (0.002)	Loss 2.1334 (2.2244)	Prec@1 36.719 (44.144)	Prec@5 75.781 (74.749)
Epoch: [36][4980/14090]	Time 0.730 (0.772)	Data 0.001 (0.002)	Loss 2.1878 (2.2243)	Prec@1 46.875 (44.146)	Prec@5 75.781 (74.748)
Epoch: [36][4990/14090]	Time 0.741 (0.772)	Data 0.001 (0.002)	Loss 2.2259 (2.2244)	Prec@1 42.969 (44.144)	Prec@5 73.438 (74.744)
Epoch: [36][5000/14090]	Time 0.742 (0.772)	Data 0.001 (0.002)	Loss 2.1510 (2.2245)	Prec@1 48.438 (44.140)	Prec@5 75.000 (74.739)
Epoch: [36][5010/14090]	Time 0.747 (0.772)	Data 0.001 (0.002)	Loss 2.0170 (2.2246)	Prec@1 48.438 (44.140)	Prec@5 78.906 (74.737)
Epoch: [36][5020/14090]	Time 0.740 (0.772)	Data 0.001 (0.002)	Loss 2.2121 (2.2247)	Prec@1 44.531 (44.140)	Prec@5 78.125 (74.736)
Epoch: [36][5030/14090]	Time 0.735 (0.772)	Data 0.001 (0.002)	Loss 2.2906 (2.2249)	Prec@1 43.750 (44.136)	Prec@5 71.875 (74.730)
Epoch: [36][5040/14090]	Time 0.875 (0.772)	Data 0.001 (0.002)	Loss 2.0887 (2.2248)	Prec@1 48.438 (44.138)	Prec@5 77.344 (74.730)
Epoch: [36][5050/14090]	Time 0.734 (0.772)	Data 0.001 (0.002)	Loss 2.1113 (2.2247)	Prec@1 49.219 (44.142)	Prec@5 75.781 (74.733)
Epoch: [36][5060/14090]	Time 0.752 (0.772)	Data 0.003 (0.002)	Loss 2.5115 (2.2249)	Prec@1 37.500 (44.139)	Prec@5 65.625 (74.729)
Epoch: [36][5070/14090]	Time 0.763 (0.772)	Data 0.001 (0.002)	Loss 2.3996 (2.2248)	Prec@1 42.188 (44.141)	Prec@5 74.219 (74.731)
Epoch: [36][5080/14090]	Time 0.737 (0.772)	Data 0.001 (0.002)	Loss 2.1725 (2.2249)	Prec@1 41.406 (44.135)	Prec@5 71.875 (74.729)
Epoch: [36][5090/14090]	Time 0.746 (0.772)	Data 0.001 (0.002)	Loss 2.1162 (2.2247)	Prec@1 49.219 (44.137)	Prec@5 77.344 (74.731)
Epoch: [36][5100/14090]	Time 0.743 (0.772)	Data 0.001 (0.002)	Loss 2.0154 (2.2247)	Prec@1 45.312 (44.135)	Prec@5 78.906 (74.729)
Epoch: [36][5110/14090]	Time 0.895 (0.772)	Data 0.001 (0.002)	Loss 2.1935 (2.2247)	Prec@1 42.969 (44.133)	Prec@5 69.531 (74.730)
Epoch: [36][5120/14090]	Time 0.736 (0.772)	Data 0.001 (0.002)	Loss 2.4447 (2.2248)	Prec@1 40.625 (44.130)	Prec@5 68.750 (74.730)
Epoch: [36][5130/14090]	Time 0.749 (0.772)	Data 0.001 (0.002)	Loss 2.4969 (2.2249)	Prec@1 42.969 (44.129)	Prec@5 68.750 (74.728)
Epoch: [36][5140/14090]	Time 0.771 (0.772)	Data 0.001 (0.002)	Loss 2.2513 (2.2249)	Prec@1 42.188 (44.125)	Prec@5 72.656 (74.725)
Epoch: [36][5150/14090]	Time 0.737 (0.772)	Data 0.001 (0.002)	Loss 2.3779 (2.2251)	Prec@1 45.312 (44.125)	Prec@5 71.094 (74.721)
Epoch: [36][5160/14090]	Time 0.765 (0.772)	Data 0.001 (0.002)	Loss 2.2183 (2.2250)	Prec@1 45.312 (44.125)	Prec@5 78.125 (74.722)
Epoch: [36][5170/14090]	Time 0.732 (0.772)	Data 0.001 (0.002)	Loss 2.2796 (2.2250)	Prec@1 42.969 (44.128)	Prec@5 75.781 (74.723)
Epoch: [36][5180/14090]	Time 0.866 (0.772)	Data 0.001 (0.002)	Loss 2.0759 (2.2251)	Prec@1 45.312 (44.123)	Prec@5 75.781 (74.722)
Epoch: [36][5190/14090]	Time 0.753 (0.772)	Data 0.001 (0.002)	Loss 2.3929 (2.2250)	Prec@1 42.969 (44.124)	Prec@5 72.656 (74.723)
Epoch: [36][5200/14090]	Time 0.745 (0.772)	Data 0.001 (0.002)	Loss 2.2344 (2.2249)	Prec@1 46.875 (44.128)	Prec@5 74.219 (74.726)
Epoch: [36][5210/14090]	Time 0.723 (0.772)	Data 0.001 (0.002)	Loss 2.2301 (2.2250)	Prec@1 42.188 (44.129)	Prec@5 73.438 (74.724)
Epoch: [36][5220/14090]	Time 0.751 (0.772)	Data 0.001 (0.002)	Loss 2.1389 (2.2250)	Prec@1 49.219 (44.127)	Prec@5 73.438 (74.726)
Epoch: [36][5230/14090]	Time 0.770 (0.772)	Data 0.001 (0.002)	Loss 2.0170 (2.2248)	Prec@1 45.312 (44.130)	Prec@5 77.344 (74.732)
Epoch: [36][5240/14090]	Time 0.730 (0.772)	Data 0.001 (0.002)	Loss 2.3821 (2.2249)	Prec@1 39.844 (44.126)	Prec@5 73.438 (74.729)
Epoch: [36][5250/14090]	Time 0.867 (0.772)	Data 0.001 (0.002)	Loss 2.2770 (2.2248)	Prec@1 45.312 (44.127)	Prec@5 73.438 (74.730)
Epoch: [36][5260/14090]	Time 0.768 (0.772)	Data 0.001 (0.002)	Loss 2.2793 (2.2247)	Prec@1 47.656 (44.129)	Prec@5 73.438 (74.731)
Epoch: [36][5270/14090]	Time 0.751 (0.772)	Data 0.001 (0.002)	Loss 2.0187 (2.2245)	Prec@1 47.656 (44.130)	Prec@5 80.469 (74.737)
Epoch: [36][5280/14090]	Time 0.755 (0.772)	Data 0.001 (0.002)	Loss 2.0590 (2.2245)	Prec@1 46.094 (44.131)	Prec@5 80.469 (74.737)
Epoch: [36][5290/14090]	Time 0.743 (0.772)	Data 0.001 (0.002)	Loss 2.3214 (2.2246)	Prec@1 42.188 (44.127)	Prec@5 73.438 (74.734)
Epoch: [36][5300/14090]	Time 0.775 (0.772)	Data 0.001 (0.002)	Loss 2.0011 (2.2246)	Prec@1 46.094 (44.129)	Prec@5 78.125 (74.736)
Epoch: [36][5310/14090]	Time 0.742 (0.772)	Data 0.001 (0.002)	Loss 2.3502 (2.2246)	Prec@1 38.281 (44.127)	Prec@5 71.094 (74.733)
Epoch: [36][5320/14090]	Time 0.883 (0.772)	Data 0.001 (0.002)	Loss 2.0165 (2.2247)	Prec@1 53.125 (44.129)	Prec@5 77.344 (74.732)
Epoch: [36][5330/14090]	Time 0.758 (0.772)	Data 0.001 (0.002)	Loss 1.9659 (2.2246)	Prec@1 49.219 (44.130)	Prec@5 80.469 (74.732)
Epoch: [36][5340/14090]	Time 0.780 (0.772)	Data 0.001 (0.002)	Loss 2.2132 (2.2245)	Prec@1 45.312 (44.132)	Prec@5 75.000 (74.733)
Epoch: [36][5350/14090]	Time 0.731 (0.772)	Data 0.001 (0.002)	Loss 2.1799 (2.2246)	Prec@1 44.531 (44.131)	Prec@5 75.781 (74.732)
Epoch: [36][5360/14090]	Time 0.741 (0.772)	Data 0.001 (0.002)	Loss 2.1555 (2.2246)	Prec@1 44.531 (44.131)	Prec@5 77.344 (74.732)
Epoch: [36][5370/14090]	Time 0.750 (0.772)	Data 0.001 (0.002)	Loss 2.1151 (2.2246)	Prec@1 45.312 (44.132)	Prec@5 73.438 (74.731)
Epoch: [36][5380/14090]	Time 0.732 (0.772)	Data 0.001 (0.002)	Loss 2.6072 (2.2245)	Prec@1 37.500 (44.134)	Prec@5 67.969 (74.733)
Epoch: [36][5390/14090]	Time 0.861 (0.772)	Data 0.001 (0.002)	Loss 2.2629 (2.2245)	Prec@1 40.625 (44.137)	Prec@5 74.219 (74.733)
Epoch: [36][5400/14090]	Time 0.724 (0.772)	Data 0.001 (0.002)	Loss 2.2338 (2.2245)	Prec@1 49.219 (44.140)	Prec@5 72.656 (74.734)
Epoch: [36][5410/14090]	Time 0.743 (0.772)	Data 0.001 (0.002)	Loss 2.2077 (2.2245)	Prec@1 42.188 (44.142)	Prec@5 77.344 (74.734)
Epoch: [36][5420/14090]	Time 0.729 (0.772)	Data 0.001 (0.002)	Loss 2.2704 (2.2244)	Prec@1 46.875 (44.143)	Prec@5 72.656 (74.735)
Epoch: [36][5430/14090]	Time 0.741 (0.772)	Data 0.001 (0.002)	Loss 2.2856 (2.2244)	Prec@1 41.406 (44.143)	Prec@5 75.781 (74.733)
Epoch: [36][5440/14090]	Time 0.740 (0.772)	Data 0.001 (0.002)	Loss 2.5927 (2.2244)	Prec@1 32.812 (44.142)	Prec@5 64.062 (74.733)
Epoch: [36][5450/14090]	Time 0.742 (0.772)	Data 0.001 (0.002)	Loss 2.1149 (2.2244)	Prec@1 44.531 (44.141)	Prec@5 72.656 (74.731)
Epoch: [36][5460/14090]	Time 0.875 (0.772)	Data 0.001 (0.002)	Loss 2.2370 (2.2244)	Prec@1 38.281 (44.141)	Prec@5 75.781 (74.730)
Epoch: [36][5470/14090]	Time 0.741 (0.772)	Data 0.001 (0.002)	Loss 2.0081 (2.2242)	Prec@1 44.531 (44.145)	Prec@5 79.688 (74.735)
Epoch: [36][5480/14090]	Time 0.751 (0.772)	Data 0.001 (0.002)	Loss 2.1852 (2.2244)	Prec@1 47.656 (44.142)	Prec@5 73.438 (74.731)
Epoch: [36][5490/14090]	Time 0.785 (0.772)	Data 0.001 (0.002)	Loss 2.0666 (2.2242)	Prec@1 47.656 (44.143)	Prec@5 75.781 (74.733)
Epoch: [36][5500/14090]	Time 0.764 (0.772)	Data 0.002 (0.002)	Loss 2.2105 (2.2242)	Prec@1 42.969 (44.146)	Prec@5 75.781 (74.734)
Epoch: [36][5510/14090]	Time 0.742 (0.772)	Data 0.001 (0.002)	Loss 2.2839 (2.2242)	Prec@1 39.844 (44.142)	Prec@5 78.906 (74.734)
Epoch: [36][5520/14090]	Time 0.752 (0.772)	Data 0.002 (0.002)	Loss 2.0583 (2.2241)	Prec@1 44.531 (44.143)	Prec@5 74.219 (74.736)
Epoch: [36][5530/14090]	Time 0.919 (0.772)	Data 0.001 (0.002)	Loss 2.3234 (2.2242)	Prec@1 39.844 (44.140)	Prec@5 71.094 (74.735)
Epoch: [36][5540/14090]	Time 0.734 (0.772)	Data 0.001 (0.002)	Loss 2.3113 (2.2241)	Prec@1 40.625 (44.140)	Prec@5 75.000 (74.735)
Epoch: [36][5550/14090]	Time 0.754 (0.772)	Data 0.001 (0.002)	Loss 2.2699 (2.2241)	Prec@1 42.188 (44.142)	Prec@5 72.656 (74.736)
Epoch: [36][5560/14090]	Time 0.780 (0.772)	Data 0.001 (0.002)	Loss 2.3656 (2.2240)	Prec@1 47.656 (44.143)	Prec@5 68.750 (74.738)
Epoch: [36][5570/14090]	Time 0.773 (0.772)	Data 0.001 (0.002)	Loss 2.3517 (2.2241)	Prec@1 41.406 (44.138)	Prec@5 74.219 (74.734)
Epoch: [36][5580/14090]	Time 0.760 (0.772)	Data 0.001 (0.002)	Loss 2.0063 (2.2241)	Prec@1 41.406 (44.137)	Prec@5 79.688 (74.734)
Epoch: [36][5590/14090]	Time 0.741 (0.772)	Data 0.001 (0.002)	Loss 2.1930 (2.2240)	Prec@1 39.062 (44.137)	Prec@5 78.125 (74.737)
Epoch: [36][5600/14090]	Time 0.893 (0.772)	Data 0.001 (0.002)	Loss 2.4815 (2.2242)	Prec@1 38.281 (44.134)	Prec@5 71.875 (74.733)
Epoch: [36][5610/14090]	Time 0.772 (0.772)	Data 0.001 (0.002)	Loss 2.3014 (2.2242)	Prec@1 46.094 (44.133)	Prec@5 72.656 (74.735)
Epoch: [36][5620/14090]	Time 0.744 (0.772)	Data 0.001 (0.002)	Loss 2.3745 (2.2242)	Prec@1 42.969 (44.133)	Prec@5 69.531 (74.733)
Epoch: [36][5630/14090]	Time 0.782 (0.772)	Data 0.001 (0.002)	Loss 2.5656 (2.2243)	Prec@1 39.844 (44.129)	Prec@5 69.531 (74.732)
Epoch: [36][5640/14090]	Time 0.754 (0.772)	Data 0.001 (0.002)	Loss 2.1755 (2.2243)	Prec@1 42.188 (44.129)	Prec@5 74.219 (74.732)
Epoch: [36][5650/14090]	Time 0.761 (0.772)	Data 0.001 (0.002)	Loss 2.2483 (2.2243)	Prec@1 43.750 (44.128)	Prec@5 77.344 (74.733)
Epoch: [36][5660/14090]	Time 0.734 (0.772)	Data 0.001 (0.002)	Loss 2.2640 (2.2244)	Prec@1 37.500 (44.126)	Prec@5 74.219 (74.732)
Epoch: [36][5670/14090]	Time 0.851 (0.772)	Data 0.001 (0.002)	Loss 2.3442 (2.2245)	Prec@1 45.312 (44.125)	Prec@5 76.562 (74.729)
Epoch: [36][5680/14090]	Time 0.735 (0.772)	Data 0.001 (0.002)	Loss 2.0318 (2.2243)	Prec@1 49.219 (44.128)	Prec@5 77.344 (74.732)
Epoch: [36][5690/14090]	Time 0.740 (0.772)	Data 0.001 (0.002)	Loss 2.5129 (2.2243)	Prec@1 37.500 (44.127)	Prec@5 74.219 (74.735)
Epoch: [36][5700/14090]	Time 0.771 (0.772)	Data 0.001 (0.002)	Loss 2.3430 (2.2243)	Prec@1 45.312 (44.127)	Prec@5 70.312 (74.735)
Epoch: [36][5710/14090]	Time 0.739 (0.772)	Data 0.001 (0.002)	Loss 2.4916 (2.2244)	Prec@1 39.062 (44.127)	Prec@5 72.656 (74.736)
Epoch: [36][5720/14090]	Time 0.739 (0.772)	Data 0.001 (0.002)	Loss 2.1354 (2.2245)	Prec@1 41.406 (44.126)	Prec@5 75.781 (74.732)
Epoch: [36][5730/14090]	Time 0.733 (0.772)	Data 0.001 (0.002)	Loss 2.2896 (2.2244)	Prec@1 46.094 (44.126)	Prec@5 75.000 (74.734)
Epoch: [36][5740/14090]	Time 0.880 (0.772)	Data 0.001 (0.002)	Loss 1.9243 (2.2245)	Prec@1 52.344 (44.127)	Prec@5 80.469 (74.733)
Epoch: [36][5750/14090]	Time 0.736 (0.772)	Data 0.001 (0.002)	Loss 2.3273 (2.2245)	Prec@1 39.844 (44.128)	Prec@5 71.875 (74.733)
Epoch: [36][5760/14090]	Time 0.764 (0.772)	Data 0.001 (0.002)	Loss 2.2966 (2.2244)	Prec@1 43.750 (44.127)	Prec@5 73.438 (74.733)
Epoch: [36][5770/14090]	Time 0.756 (0.772)	Data 0.001 (0.002)	Loss 1.8965 (2.2245)	Prec@1 56.250 (44.126)	Prec@5 79.688 (74.732)
Epoch: [36][5780/14090]	Time 0.731 (0.772)	Data 0.001 (0.002)	Loss 2.5602 (2.2247)	Prec@1 39.062 (44.127)	Prec@5 60.156 (74.727)
Epoch: [36][5790/14090]	Time 0.740 (0.772)	Data 0.001 (0.002)	Loss 2.2305 (2.2246)	Prec@1 40.625 (44.127)	Prec@5 74.219 (74.728)
Epoch: [36][5800/14090]	Time 0.746 (0.772)	Data 0.001 (0.002)	Loss 2.0980 (2.2247)	Prec@1 51.562 (44.127)	Prec@5 75.000 (74.727)
Epoch: [36][5810/14090]	Time 0.872 (0.772)	Data 0.001 (0.002)	Loss 2.0756 (2.2246)	Prec@1 50.781 (44.129)	Prec@5 78.125 (74.728)
Epoch: [36][5820/14090]	Time 0.744 (0.772)	Data 0.001 (0.002)	Loss 2.0213 (2.2244)	Prec@1 46.094 (44.130)	Prec@5 85.938 (74.733)
Epoch: [36][5830/14090]	Time 0.768 (0.772)	Data 0.001 (0.002)	Loss 2.4723 (2.2244)	Prec@1 38.281 (44.133)	Prec@5 74.219 (74.735)
Epoch: [36][5840/14090]	Time 0.759 (0.772)	Data 0.001 (0.002)	Loss 2.3865 (2.2244)	Prec@1 38.281 (44.133)	Prec@5 68.750 (74.735)
Epoch: [36][5850/14090]	Time 0.724 (0.772)	Data 0.001 (0.002)	Loss 2.0818 (2.2245)	Prec@1 47.656 (44.131)	Prec@5 80.469 (74.732)
Epoch: [36][5860/14090]	Time 0.765 (0.772)	Data 0.001 (0.002)	Loss 2.2461 (2.2245)	Prec@1 46.094 (44.133)	Prec@5 72.656 (74.734)
Epoch: [36][5870/14090]	Time 0.727 (0.772)	Data 0.001 (0.002)	Loss 2.4809 (2.2245)	Prec@1 41.406 (44.132)	Prec@5 65.625 (74.735)
Epoch: [36][5880/14090]	Time 0.874 (0.772)	Data 0.001 (0.002)	Loss 2.5102 (2.2245)	Prec@1 39.844 (44.136)	Prec@5 68.750 (74.733)
Epoch: [36][5890/14090]	Time 0.756 (0.772)	Data 0.001 (0.002)	Loss 2.5168 (2.2245)	Prec@1 41.406 (44.134)	Prec@5 69.531 (74.731)
Epoch: [36][5900/14090]	Time 0.731 (0.772)	Data 0.001 (0.002)	Loss 2.2886 (2.2245)	Prec@1 45.312 (44.132)	Prec@5 75.000 (74.731)
Epoch: [36][5910/14090]	Time 0.767 (0.772)	Data 0.001 (0.002)	Loss 1.9852 (2.2245)	Prec@1 52.344 (44.132)	Prec@5 81.250 (74.733)
Epoch: [36][5920/14090]	Time 0.768 (0.772)	Data 0.001 (0.002)	Loss 2.2708 (2.2246)	Prec@1 41.406 (44.132)	Prec@5 69.531 (74.733)
Epoch: [36][5930/14090]	Time 0.767 (0.772)	Data 0.001 (0.002)	Loss 2.3913 (2.2246)	Prec@1 41.406 (44.131)	Prec@5 71.875 (74.732)
Epoch: [36][5940/14090]	Time 0.725 (0.772)	Data 0.001 (0.002)	Loss 2.1488 (2.2246)	Prec@1 47.656 (44.132)	Prec@5 81.250 (74.731)
Epoch: [36][5950/14090]	Time 0.846 (0.772)	Data 0.001 (0.002)	Loss 2.0704 (2.2247)	Prec@1 48.438 (44.130)	Prec@5 78.125 (74.728)
Epoch: [36][5960/14090]	Time 0.732 (0.772)	Data 0.001 (0.002)	Loss 2.0988 (2.2247)	Prec@1 46.875 (44.129)	Prec@5 75.000 (74.729)
Epoch: [36][5970/14090]	Time 0.742 (0.772)	Data 0.001 (0.002)	Loss 2.0766 (2.2247)	Prec@1 50.781 (44.132)	Prec@5 75.781 (74.729)
Epoch: [36][5980/14090]	Time 0.756 (0.772)	Data 0.001 (0.002)	Loss 2.4649 (2.2248)	Prec@1 42.188 (44.130)	Prec@5 67.969 (74.729)
Epoch: [36][5990/14090]	Time 0.775 (0.772)	Data 0.001 (0.002)	Loss 2.5004 (2.2248)	Prec@1 40.625 (44.131)	Prec@5 73.438 (74.729)
Epoch: [36][6000/14090]	Time 0.759 (0.772)	Data 0.001 (0.002)	Loss 1.8997 (2.2247)	Prec@1 43.750 (44.132)	Prec@5 85.938 (74.734)
Epoch: [36][6010/14090]	Time 0.743 (0.772)	Data 0.001 (0.002)	Loss 2.1271 (2.2247)	Prec@1 44.531 (44.133)	Prec@5 75.781 (74.732)
Epoch: [36][6020/14090]	Time 0.878 (0.772)	Data 0.001 (0.002)	Loss 2.4096 (2.2247)	Prec@1 39.844 (44.131)	Prec@5 76.562 (74.732)
Epoch: [36][6030/14090]	Time 0.754 (0.772)	Data 0.001 (0.002)	Loss 2.5434 (2.2248)	Prec@1 36.719 (44.130)	Prec@5 69.531 (74.732)
Epoch: [36][6040/14090]	Time 0.757 (0.772)	Data 0.002 (0.002)	Loss 1.9411 (2.2247)	Prec@1 56.250 (44.132)	Prec@5 78.906 (74.733)
Epoch: [36][6050/14090]	Time 0.760 (0.772)	Data 0.001 (0.002)	Loss 1.9679 (2.2247)	Prec@1 51.562 (44.133)	Prec@5 81.250 (74.734)
Epoch: [36][6060/14090]	Time 0.751 (0.772)	Data 0.001 (0.002)	Loss 2.3971 (2.2248)	Prec@1 39.844 (44.133)	Prec@5 73.438 (74.733)
Epoch: [36][6070/14090]	Time 0.750 (0.772)	Data 0.001 (0.002)	Loss 2.3405 (2.2248)	Prec@1 40.625 (44.133)	Prec@5 71.875 (74.731)
Epoch: [36][6080/14090]	Time 0.785 (0.772)	Data 0.001 (0.002)	Loss 2.2282 (2.2247)	Prec@1 48.438 (44.136)	Prec@5 74.219 (74.733)
Epoch: [36][6090/14090]	Time 0.882 (0.772)	Data 0.001 (0.002)	Loss 2.1050 (2.2248)	Prec@1 47.656 (44.135)	Prec@5 78.906 (74.733)
Epoch: [36][6100/14090]	Time 0.750 (0.772)	Data 0.001 (0.002)	Loss 2.2525 (2.2247)	Prec@1 42.969 (44.137)	Prec@5 71.875 (74.734)
Epoch: [36][6110/14090]	Time 0.732 (0.772)	Data 0.001 (0.002)	Loss 2.2035 (2.2248)	Prec@1 39.844 (44.135)	Prec@5 77.344 (74.732)
Epoch: [36][6120/14090]	Time 0.748 (0.772)	Data 0.001 (0.002)	Loss 2.3912 (2.2250)	Prec@1 37.500 (44.128)	Prec@5 72.656 (74.730)
Epoch: [36][6130/14090]	Time 0.753 (0.772)	Data 0.001 (0.002)	Loss 2.2212 (2.2250)	Prec@1 44.531 (44.129)	Prec@5 71.875 (74.729)
Epoch: [36][6140/14090]	Time 0.738 (0.772)	Data 0.001 (0.002)	Loss 2.0860 (2.2249)	Prec@1 47.656 (44.131)	Prec@5 76.562 (74.730)
Epoch: [36][6150/14090]	Time 0.752 (0.772)	Data 0.001 (0.002)	Loss 1.8475 (2.2249)	Prec@1 47.656 (44.130)	Prec@5 79.688 (74.730)
Epoch: [36][6160/14090]	Time 0.841 (0.772)	Data 0.001 (0.002)	Loss 2.1791 (2.2251)	Prec@1 46.094 (44.130)	Prec@5 74.219 (74.729)
Epoch: [36][6170/14090]	Time 0.748 (0.772)	Data 0.001 (0.002)	Loss 2.0437 (2.2250)	Prec@1 46.094 (44.131)	Prec@5 81.250 (74.730)
Epoch: [36][6180/14090]	Time 0.740 (0.772)	Data 0.001 (0.002)	Loss 2.5656 (2.2249)	Prec@1 37.500 (44.134)	Prec@5 62.500 (74.730)
Epoch: [36][6190/14090]	Time 0.739 (0.772)	Data 0.001 (0.002)	Loss 2.1840 (2.2249)	Prec@1 43.750 (44.135)	Prec@5 74.219 (74.729)
Epoch: [36][6200/14090]	Time 0.771 (0.772)	Data 0.001 (0.002)	Loss 2.0259 (2.2248)	Prec@1 46.094 (44.136)	Prec@5 81.250 (74.732)
Epoch: [36][6210/14090]	Time 0.760 (0.772)	Data 0.001 (0.002)	Loss 2.1571 (2.2247)	Prec@1 50.781 (44.139)	Prec@5 76.562 (74.735)
Epoch: [36][6220/14090]	Time 0.722 (0.772)	Data 0.001 (0.002)	Loss 2.1535 (2.2247)	Prec@1 47.656 (44.139)	Prec@5 72.656 (74.735)
Epoch: [36][6230/14090]	Time 0.869 (0.772)	Data 0.001 (0.002)	Loss 2.3049 (2.2247)	Prec@1 43.750 (44.137)	Prec@5 71.094 (74.735)
Epoch: [36][6240/14090]	Time 0.773 (0.772)	Data 0.001 (0.002)	Loss 2.3291 (2.2248)	Prec@1 47.656 (44.137)	Prec@5 71.094 (74.731)
Epoch: [36][6250/14090]	Time 0.731 (0.772)	Data 0.001 (0.002)	Loss 2.0859 (2.2248)	Prec@1 41.406 (44.135)	Prec@5 81.250 (74.733)
Epoch: [36][6260/14090]	Time 0.754 (0.772)	Data 0.001 (0.002)	Loss 2.3894 (2.2248)	Prec@1 39.844 (44.131)	Prec@5 70.312 (74.732)
Epoch: [36][6270/14090]	Time 0.776 (0.772)	Data 0.001 (0.002)	Loss 2.2093 (2.2248)	Prec@1 45.312 (44.129)	Prec@5 72.656 (74.731)
Epoch: [36][6280/14090]	Time 0.762 (0.772)	Data 0.001 (0.002)	Loss 2.1589 (2.2249)	Prec@1 41.406 (44.127)	Prec@5 75.781 (74.729)
Epoch: [36][6290/14090]	Time 0.756 (0.772)	Data 0.001 (0.002)	Loss 2.1122 (2.2249)	Prec@1 42.188 (44.125)	Prec@5 79.688 (74.730)
Epoch: [36][6300/14090]	Time 0.870 (0.772)	Data 0.001 (0.002)	Loss 2.1551 (2.2248)	Prec@1 43.750 (44.125)	Prec@5 79.688 (74.730)
Epoch: [36][6310/14090]	Time 0.768 (0.772)	Data 0.001 (0.002)	Loss 2.1385 (2.2248)	Prec@1 45.312 (44.124)	Prec@5 76.562 (74.729)
Epoch: [36][6320/14090]	Time 0.732 (0.772)	Data 0.001 (0.002)	Loss 2.0788 (2.2248)	Prec@1 48.438 (44.125)	Prec@5 72.656 (74.727)
Epoch: [36][6330/14090]	Time 0.742 (0.772)	Data 0.001 (0.002)	Loss 2.1707 (2.2249)	Prec@1 42.188 (44.125)	Prec@5 71.875 (74.725)
Epoch: [36][6340/14090]	Time 0.772 (0.772)	Data 0.001 (0.002)	Loss 2.5273 (2.2249)	Prec@1 36.719 (44.124)	Prec@5 67.969 (74.723)
Epoch: [36][6350/14090]	Time 0.748 (0.772)	Data 0.001 (0.002)	Loss 1.9513 (2.2248)	Prec@1 51.562 (44.130)	Prec@5 78.906 (74.725)
Epoch: [36][6360/14090]	Time 0.758 (0.772)	Data 0.001 (0.002)	Loss 2.2357 (2.2248)	Prec@1 50.781 (44.131)	Prec@5 76.562 (74.724)
Epoch: [36][6370/14090]	Time 0.902 (0.772)	Data 0.001 (0.002)	Loss 2.2477 (2.2247)	Prec@1 43.750 (44.131)	Prec@5 75.781 (74.726)
Epoch: [36][6380/14090]	Time 0.744 (0.772)	Data 0.001 (0.002)	Loss 2.2617 (2.2247)	Prec@1 44.531 (44.132)	Prec@5 71.875 (74.727)
Epoch: [36][6390/14090]	Time 0.734 (0.772)	Data 0.001 (0.002)	Loss 2.1342 (2.2247)	Prec@1 49.219 (44.132)	Prec@5 78.906 (74.728)
Epoch: [36][6400/14090]	Time 0.737 (0.772)	Data 0.001 (0.002)	Loss 2.4020 (2.2247)	Prec@1 39.844 (44.133)	Prec@5 64.844 (74.725)
Epoch: [36][6410/14090]	Time 0.746 (0.772)	Data 0.001 (0.002)	Loss 2.4222 (2.2248)	Prec@1 42.969 (44.134)	Prec@5 71.094 (74.724)
Epoch: [36][6420/14090]	Time 0.745 (0.772)	Data 0.001 (0.002)	Loss 2.2470 (2.2247)	Prec@1 39.844 (44.135)	Prec@5 74.219 (74.726)
Epoch: [36][6430/14090]	Time 0.742 (0.772)	Data 0.001 (0.002)	Loss 2.3171 (2.2246)	Prec@1 39.844 (44.131)	Prec@5 74.219 (74.728)
Epoch: [36][6440/14090]	Time 0.883 (0.772)	Data 0.001 (0.002)	Loss 2.1922 (2.2246)	Prec@1 49.219 (44.133)	Prec@5 78.125 (74.728)
Epoch: [36][6450/14090]	Time 0.770 (0.772)	Data 0.001 (0.002)	Loss 2.2571 (2.2245)	Prec@1 44.531 (44.134)	Prec@5 71.875 (74.729)
Epoch: [36][6460/14090]	Time 0.781 (0.772)	Data 0.001 (0.002)	Loss 2.0210 (2.2246)	Prec@1 42.969 (44.130)	Prec@5 82.812 (74.727)
Epoch: [36][6470/14090]	Time 0.761 (0.772)	Data 0.002 (0.002)	Loss 2.3418 (2.2247)	Prec@1 43.750 (44.132)	Prec@5 74.219 (74.726)
Epoch: [36][6480/14090]	Time 0.742 (0.772)	Data 0.001 (0.002)	Loss 2.1383 (2.2246)	Prec@1 43.750 (44.135)	Prec@5 78.125 (74.727)
Epoch: [36][6490/14090]	Time 0.754 (0.772)	Data 0.001 (0.002)	Loss 2.0479 (2.2244)	Prec@1 50.781 (44.138)	Prec@5 78.125 (74.731)
Epoch: [36][6500/14090]	Time 0.756 (0.772)	Data 0.001 (0.002)	Loss 2.3405 (2.2245)	Prec@1 44.531 (44.140)	Prec@5 73.438 (74.730)
Epoch: [36][6510/14090]	Time 0.863 (0.772)	Data 0.001 (0.002)	Loss 2.3765 (2.2244)	Prec@1 40.625 (44.139)	Prec@5 69.531 (74.730)
Epoch: [36][6520/14090]	Time 0.744 (0.772)	Data 0.001 (0.002)	Loss 2.3122 (2.2245)	Prec@1 42.969 (44.138)	Prec@5 72.656 (74.730)
Epoch: [36][6530/14090]	Time 0.775 (0.772)	Data 0.001 (0.002)	Loss 2.2795 (2.2245)	Prec@1 38.281 (44.137)	Prec@5 73.438 (74.729)
Epoch: [36][6540/14090]	Time 0.771 (0.772)	Data 0.001 (0.002)	Loss 2.1442 (2.2244)	Prec@1 44.531 (44.141)	Prec@5 75.781 (74.731)
Epoch: [36][6550/14090]	Time 0.785 (0.772)	Data 0.001 (0.002)	Loss 2.2648 (2.2242)	Prec@1 39.844 (44.141)	Prec@5 76.562 (74.733)
Epoch: [36][6560/14090]	Time 0.769 (0.772)	Data 0.001 (0.002)	Loss 2.2952 (2.2242)	Prec@1 46.875 (44.144)	Prec@5 74.219 (74.735)
Epoch: [36][6570/14090]	Time 0.727 (0.772)	Data 0.001 (0.002)	Loss 2.1159 (2.2242)	Prec@1 46.094 (44.142)	Prec@5 77.344 (74.737)
Epoch: [36][6580/14090]	Time 0.980 (0.772)	Data 0.001 (0.002)	Loss 1.9536 (2.2241)	Prec@1 47.656 (44.146)	Prec@5 78.906 (74.738)
Epoch: [36][6590/14090]	Time 0.786 (0.772)	Data 0.001 (0.002)	Loss 1.9863 (2.2241)	Prec@1 44.531 (44.146)	Prec@5 78.125 (74.738)
Epoch: [36][6600/14090]	Time 0.738 (0.772)	Data 0.001 (0.002)	Loss 2.4866 (2.2241)	Prec@1 38.281 (44.147)	Prec@5 70.312 (74.741)
Epoch: [36][6610/14090]	Time 0.757 (0.772)	Data 0.001 (0.002)	Loss 2.1992 (2.2242)	Prec@1 44.531 (44.146)	Prec@5 78.125 (74.738)
Epoch: [36][6620/14090]	Time 0.756 (0.772)	Data 0.001 (0.002)	Loss 2.0580 (2.2242)	Prec@1 46.875 (44.145)	Prec@5 78.125 (74.738)
Epoch: [36][6630/14090]	Time 0.734 (0.772)	Data 0.001 (0.002)	Loss 2.2531 (2.2242)	Prec@1 49.219 (44.144)	Prec@5 75.781 (74.738)
Epoch: [36][6640/14090]	Time 0.728 (0.772)	Data 0.001 (0.002)	Loss 2.1137 (2.2241)	Prec@1 46.875 (44.144)	Prec@5 78.906 (74.740)
Epoch: [36][6650/14090]	Time 0.909 (0.772)	Data 0.001 (0.002)	Loss 2.4321 (2.2240)	Prec@1 32.031 (44.142)	Prec@5 75.781 (74.742)
Epoch: [36][6660/14090]	Time 0.775 (0.772)	Data 0.001 (0.002)	Loss 2.0090 (2.2240)	Prec@1 52.344 (44.140)	Prec@5 80.469 (74.740)
Epoch: [36][6670/14090]	Time 0.731 (0.772)	Data 0.001 (0.002)	Loss 2.4081 (2.2241)	Prec@1 43.750 (44.139)	Prec@5 69.531 (74.738)
Epoch: [36][6680/14090]	Time 0.748 (0.772)	Data 0.001 (0.002)	Loss 2.2115 (2.2240)	Prec@1 42.188 (44.140)	Prec@5 75.000 (74.738)
Epoch: [36][6690/14090]	Time 0.735 (0.772)	Data 0.001 (0.002)	Loss 2.1294 (2.2241)	Prec@1 42.969 (44.139)	Prec@5 80.469 (74.738)
Epoch: [36][6700/14090]	Time 0.728 (0.772)	Data 0.001 (0.002)	Loss 2.4515 (2.2242)	Prec@1 38.281 (44.136)	Prec@5 70.312 (74.734)
Epoch: [36][6710/14090]	Time 0.752 (0.772)	Data 0.001 (0.002)	Loss 2.4061 (2.2241)	Prec@1 38.281 (44.139)	Prec@5 75.000 (74.737)
Epoch: [36][6720/14090]	Time 0.890 (0.772)	Data 0.001 (0.002)	Loss 2.3272 (2.2241)	Prec@1 44.531 (44.141)	Prec@5 71.875 (74.739)
Epoch: [36][6730/14090]	Time 0.763 (0.772)	Data 0.001 (0.002)	Loss 2.2712 (2.2242)	Prec@1 47.656 (44.140)	Prec@5 74.219 (74.737)
Epoch: [36][6740/14090]	Time 0.738 (0.772)	Data 0.001 (0.002)	Loss 2.2763 (2.2242)	Prec@1 39.844 (44.139)	Prec@5 71.094 (74.737)
Epoch: [36][6750/14090]	Time 0.758 (0.772)	Data 0.001 (0.002)	Loss 2.4320 (2.2243)	Prec@1 33.594 (44.136)	Prec@5 71.875 (74.736)
Epoch: [36][6760/14090]	Time 0.782 (0.772)	Data 0.001 (0.002)	Loss 2.4024 (2.2244)	Prec@1 40.625 (44.136)	Prec@5 71.094 (74.734)
Epoch: [36][6770/14090]	Time 0.767 (0.772)	Data 0.001 (0.002)	Loss 2.4623 (2.2243)	Prec@1 32.812 (44.135)	Prec@5 75.781 (74.737)
Epoch: [36][6780/14090]	Time 0.741 (0.772)	Data 0.001 (0.002)	Loss 2.2882 (2.2243)	Prec@1 37.500 (44.135)	Prec@5 74.219 (74.737)
Epoch: [36][6790/14090]	Time 0.863 (0.772)	Data 0.001 (0.002)	Loss 1.8972 (2.2243)	Prec@1 52.344 (44.134)	Prec@5 85.156 (74.740)
Epoch: [36][6800/14090]	Time 0.733 (0.772)	Data 0.001 (0.002)	Loss 2.2653 (2.2243)	Prec@1 45.312 (44.134)	Prec@5 74.219 (74.739)
Epoch: [36][6810/14090]	Time 0.773 (0.772)	Data 0.001 (0.002)	Loss 2.2210 (2.2243)	Prec@1 44.531 (44.134)	Prec@5 75.781 (74.740)
Epoch: [36][6820/14090]	Time 0.740 (0.772)	Data 0.001 (0.002)	Loss 2.3077 (2.2243)	Prec@1 43.750 (44.133)	Prec@5 78.906 (74.742)
Epoch: [36][6830/14090]	Time 0.770 (0.772)	Data 0.001 (0.002)	Loss 2.0956 (2.2242)	Prec@1 53.125 (44.134)	Prec@5 81.250 (74.744)
Epoch: [36][6840/14090]	Time 0.741 (0.772)	Data 0.001 (0.002)	Loss 2.0371 (2.2243)	Prec@1 51.562 (44.134)	Prec@5 75.781 (74.743)
Epoch: [36][6850/14090]	Time 0.781 (0.772)	Data 0.001 (0.002)	Loss 2.3628 (2.2243)	Prec@1 43.750 (44.135)	Prec@5 73.438 (74.743)
Epoch: [36][6860/14090]	Time 0.844 (0.772)	Data 0.001 (0.002)	Loss 2.3696 (2.2242)	Prec@1 46.875 (44.138)	Prec@5 67.188 (74.741)
Epoch: [36][6870/14090]	Time 0.760 (0.772)	Data 0.001 (0.002)	Loss 2.2109 (2.2243)	Prec@1 46.094 (44.138)	Prec@5 73.438 (74.740)
Epoch: [36][6880/14090]	Time 0.754 (0.772)	Data 0.001 (0.002)	Loss 2.5188 (2.2243)	Prec@1 40.625 (44.138)	Prec@5 65.625 (74.738)
Epoch: [36][6890/14090]	Time 0.751 (0.772)	Data 0.001 (0.002)	Loss 2.1861 (2.2243)	Prec@1 42.969 (44.139)	Prec@5 76.562 (74.739)
Epoch: [36][6900/14090]	Time 0.758 (0.772)	Data 0.001 (0.002)	Loss 2.0731 (2.2243)	Prec@1 45.312 (44.140)	Prec@5 79.688 (74.739)
Epoch: [36][6910/14090]	Time 0.760 (0.772)	Data 0.001 (0.002)	Loss 2.1819 (2.2243)	Prec@1 42.969 (44.140)	Prec@5 79.688 (74.741)
Epoch: [36][6920/14090]	Time 0.746 (0.772)	Data 0.001 (0.002)	Loss 2.0699 (2.2243)	Prec@1 53.125 (44.141)	Prec@5 78.125 (74.740)
Epoch: [36][6930/14090]	Time 0.893 (0.772)	Data 0.001 (0.002)	Loss 2.2686 (2.2243)	Prec@1 43.750 (44.138)	Prec@5 75.000 (74.741)
Epoch: [36][6940/14090]	Time 0.745 (0.772)	Data 0.001 (0.002)	Loss 2.3307 (2.2244)	Prec@1 38.281 (44.138)	Prec@5 74.219 (74.742)
Epoch: [36][6950/14090]	Time 0.745 (0.772)	Data 0.001 (0.002)	Loss 2.3981 (2.2244)	Prec@1 43.750 (44.139)	Prec@5 67.969 (74.742)
Epoch: [36][6960/14090]	Time 0.739 (0.772)	Data 0.001 (0.002)	Loss 2.4349 (2.2244)	Prec@1 37.500 (44.135)	Prec@5 69.531 (74.741)
Epoch: [36][6970/14090]	Time 0.760 (0.772)	Data 0.001 (0.002)	Loss 2.2364 (2.2244)	Prec@1 44.531 (44.134)	Prec@5 72.656 (74.740)
Epoch: [36][6980/14090]	Time 0.728 (0.772)	Data 0.001 (0.002)	Loss 2.0707 (2.2244)	Prec@1 46.875 (44.135)	Prec@5 80.469 (74.742)
Epoch: [36][6990/14090]	Time 0.765 (0.772)	Data 0.001 (0.002)	Loss 1.9135 (2.2243)	Prec@1 50.781 (44.136)	Prec@5 81.250 (74.744)
Epoch: [36][7000/14090]	Time 0.837 (0.772)	Data 0.001 (0.002)	Loss 2.1078 (2.2243)	Prec@1 53.906 (44.138)	Prec@5 70.312 (74.745)
Epoch: [36][7010/14090]	Time 0.765 (0.772)	Data 0.001 (0.002)	Loss 2.2727 (2.2242)	Prec@1 47.656 (44.139)	Prec@5 71.875 (74.746)
Epoch: [36][7020/14090]	Time 0.734 (0.772)	Data 0.001 (0.002)	Loss 2.5638 (2.2244)	Prec@1 39.062 (44.135)	Prec@5 67.969 (74.742)
Epoch: [36][7030/14090]	Time 0.733 (0.772)	Data 0.001 (0.002)	Loss 1.9810 (2.2243)	Prec@1 50.781 (44.140)	Prec@5 78.906 (74.745)
Epoch: [36][7040/14090]	Time 0.760 (0.772)	Data 0.004 (0.002)	Loss 2.2361 (2.2243)	Prec@1 39.062 (44.138)	Prec@5 76.562 (74.744)
Epoch: [36][7050/14090]	Time 0.765 (0.772)	Data 0.001 (0.002)	Loss 2.0583 (2.2244)	Prec@1 49.219 (44.135)	Prec@5 79.688 (74.741)
Epoch: [36][7060/14090]	Time 0.730 (0.772)	Data 0.001 (0.002)	Loss 2.1752 (2.2244)	Prec@1 42.969 (44.134)	Prec@5 76.562 (74.742)
Epoch: [36][7070/14090]	Time 0.867 (0.772)	Data 0.001 (0.002)	Loss 2.3323 (2.2244)	Prec@1 42.188 (44.135)	Prec@5 71.875 (74.742)
Epoch: [36][7080/14090]	Time 0.737 (0.772)	Data 0.001 (0.002)	Loss 2.2259 (2.2245)	Prec@1 42.969 (44.134)	Prec@5 75.000 (74.740)
Epoch: [36][7090/14090]	Time 0.755 (0.772)	Data 0.001 (0.002)	Loss 2.2840 (2.2245)	Prec@1 42.188 (44.134)	Prec@5 74.219 (74.740)
Epoch: [36][7100/14090]	Time 0.749 (0.772)	Data 0.001 (0.002)	Loss 2.3327 (2.2247)	Prec@1 38.281 (44.131)	Prec@5 75.000 (74.737)
Epoch: [36][7110/14090]	Time 0.730 (0.772)	Data 0.001 (0.002)	Loss 2.2719 (2.2248)	Prec@1 43.750 (44.132)	Prec@5 72.656 (74.737)
Epoch: [36][7120/14090]	Time 0.747 (0.772)	Data 0.001 (0.002)	Loss 2.2510 (2.2246)	Prec@1 46.094 (44.135)	Prec@5 72.656 (74.741)
Epoch: [36][7130/14090]	Time 0.766 (0.772)	Data 0.001 (0.002)	Loss 1.9956 (2.2246)	Prec@1 50.000 (44.134)	Prec@5 78.125 (74.740)
Epoch: [36][7140/14090]	Time 0.840 (0.772)	Data 0.001 (0.002)	Loss 2.3242 (2.2247)	Prec@1 42.969 (44.133)	Prec@5 71.875 (74.739)
Epoch: [36][7150/14090]	Time 0.771 (0.772)	Data 0.001 (0.002)	Loss 2.4129 (2.2246)	Prec@1 39.844 (44.134)	Prec@5 72.656 (74.740)
Epoch: [36][7160/14090]	Time 0.735 (0.772)	Data 0.001 (0.002)	Loss 2.2579 (2.2246)	Prec@1 39.844 (44.136)	Prec@5 68.750 (74.739)
Epoch: [36][7170/14090]	Time 0.742 (0.772)	Data 0.001 (0.002)	Loss 2.2413 (2.2247)	Prec@1 45.312 (44.135)	Prec@5 73.438 (74.736)
Epoch: [36][7180/14090]	Time 0.732 (0.772)	Data 0.001 (0.002)	Loss 2.4137 (2.2247)	Prec@1 43.750 (44.134)	Prec@5 73.438 (74.739)
Epoch: [36][7190/14090]	Time 0.744 (0.772)	Data 0.001 (0.002)	Loss 2.2992 (2.2247)	Prec@1 45.312 (44.133)	Prec@5 73.438 (74.738)
Epoch: [36][7200/14090]	Time 0.755 (0.772)	Data 0.001 (0.002)	Loss 2.2145 (2.2247)	Prec@1 43.750 (44.131)	Prec@5 78.125 (74.737)
Epoch: [36][7210/14090]	Time 0.878 (0.772)	Data 0.001 (0.002)	Loss 2.4317 (2.2249)	Prec@1 32.812 (44.126)	Prec@5 74.219 (74.735)
Epoch: [36][7220/14090]	Time 0.737 (0.772)	Data 0.001 (0.002)	Loss 2.1886 (2.2248)	Prec@1 46.875 (44.128)	Prec@5 75.000 (74.734)
Epoch: [36][7230/14090]	Time 0.746 (0.772)	Data 0.001 (0.002)	Loss 2.1814 (2.2249)	Prec@1 46.094 (44.125)	Prec@5 78.906 (74.734)
Epoch: [36][7240/14090]	Time 0.738 (0.772)	Data 0.001 (0.002)	Loss 2.1144 (2.2250)	Prec@1 46.094 (44.126)	Prec@5 75.781 (74.731)
Epoch: [36][7250/14090]	Time 0.769 (0.772)	Data 0.001 (0.002)	Loss 2.5121 (2.2251)	Prec@1 37.500 (44.123)	Prec@5 66.406 (74.727)
Epoch: [36][7260/14090]	Time 0.766 (0.772)	Data 0.001 (0.002)	Loss 2.1487 (2.2251)	Prec@1 40.625 (44.122)	Prec@5 77.344 (74.727)
Epoch: [36][7270/14090]	Time 0.735 (0.772)	Data 0.001 (0.002)	Loss 2.1921 (2.2251)	Prec@1 42.188 (44.122)	Prec@5 74.219 (74.726)
Epoch: [36][7280/14090]	Time 0.835 (0.772)	Data 0.001 (0.002)	Loss 2.0390 (2.2249)	Prec@1 47.656 (44.125)	Prec@5 71.875 (74.730)
Epoch: [36][7290/14090]	Time 0.771 (0.772)	Data 0.001 (0.002)	Loss 2.0846 (2.2250)	Prec@1 46.094 (44.123)	Prec@5 76.562 (74.730)
Epoch: [36][7300/14090]	Time 0.734 (0.772)	Data 0.001 (0.002)	Loss 2.2782 (2.2252)	Prec@1 44.531 (44.118)	Prec@5 74.219 (74.729)
Epoch: [36][7310/14090]	Time 0.763 (0.772)	Data 0.001 (0.002)	Loss 2.6812 (2.2253)	Prec@1 35.156 (44.115)	Prec@5 70.312 (74.726)
Epoch: [36][7320/14090]	Time 0.772 (0.772)	Data 0.001 (0.002)	Loss 2.3259 (2.2253)	Prec@1 42.188 (44.115)	Prec@5 72.656 (74.726)
Epoch: [36][7330/14090]	Time 0.759 (0.772)	Data 0.001 (0.002)	Loss 2.1902 (2.2253)	Prec@1 42.969 (44.115)	Prec@5 75.000 (74.725)
Epoch: [36][7340/14090]	Time 0.768 (0.772)	Data 0.001 (0.002)	Loss 2.2527 (2.2254)	Prec@1 43.750 (44.115)	Prec@5 74.219 (74.726)
Epoch: [36][7350/14090]	Time 0.872 (0.772)	Data 0.001 (0.002)	Loss 2.1098 (2.2253)	Prec@1 50.000 (44.117)	Prec@5 77.344 (74.727)
Epoch: [36][7360/14090]	Time 0.737 (0.772)	Data 0.001 (0.002)	Loss 2.0798 (2.2253)	Prec@1 43.750 (44.116)	Prec@5 77.344 (74.727)
Epoch: [36][7370/14090]	Time 0.774 (0.772)	Data 0.001 (0.002)	Loss 2.1702 (2.2253)	Prec@1 42.188 (44.116)	Prec@5 76.562 (74.728)
Epoch: [36][7380/14090]	Time 0.728 (0.772)	Data 0.001 (0.002)	Loss 2.0147 (2.2253)	Prec@1 46.875 (44.114)	Prec@5 77.344 (74.727)
Epoch: [36][7390/14090]	Time 0.745 (0.772)	Data 0.001 (0.002)	Loss 2.2703 (2.2253)	Prec@1 46.094 (44.111)	Prec@5 75.781 (74.725)
Epoch: [36][7400/14090]	Time 0.727 (0.772)	Data 0.001 (0.002)	Loss 2.3979 (2.2253)	Prec@1 39.062 (44.110)	Prec@5 73.438 (74.726)
Epoch: [36][7410/14090]	Time 0.769 (0.772)	Data 0.001 (0.002)	Loss 2.2781 (2.2254)	Prec@1 48.438 (44.109)	Prec@5 75.781 (74.724)
Epoch: [36][7420/14090]	Time 0.884 (0.772)	Data 0.001 (0.002)	Loss 2.0912 (2.2252)	Prec@1 46.875 (44.113)	Prec@5 77.344 (74.728)
Epoch: [36][7430/14090]	Time 0.729 (0.772)	Data 0.001 (0.002)	Loss 2.2132 (2.2253)	Prec@1 46.094 (44.111)	Prec@5 71.875 (74.728)
Epoch: [36][7440/14090]	Time 0.758 (0.772)	Data 0.001 (0.002)	Loss 2.2801 (2.2252)	Prec@1 44.531 (44.113)	Prec@5 74.219 (74.729)
Epoch: [36][7450/14090]	Time 0.750 (0.772)	Data 0.001 (0.001)	Loss 2.2110 (2.2253)	Prec@1 42.969 (44.112)	Prec@5 77.344 (74.729)
Epoch: [36][7460/14090]	Time 0.772 (0.772)	Data 0.001 (0.001)	Loss 2.1551 (2.2253)	Prec@1 46.875 (44.113)	Prec@5 73.438 (74.730)
Epoch: [36][7470/14090]	Time 0.748 (0.772)	Data 0.001 (0.001)	Loss 1.7913 (2.2253)	Prec@1 51.562 (44.113)	Prec@5 81.250 (74.731)
Epoch: [36][7480/14090]	Time 0.759 (0.772)	Data 0.001 (0.001)	Loss 2.1648 (2.2253)	Prec@1 50.000 (44.114)	Prec@5 75.000 (74.729)
Epoch: [36][7490/14090]	Time 0.882 (0.772)	Data 0.001 (0.001)	Loss 2.2255 (2.2254)	Prec@1 39.844 (44.113)	Prec@5 76.562 (74.727)
Epoch: [36][7500/14090]	Time 0.733 (0.772)	Data 0.001 (0.001)	Loss 2.2255 (2.2255)	Prec@1 40.625 (44.112)	Prec@5 70.312 (74.726)
Epoch: [36][7510/14090]	Time 0.742 (0.772)	Data 0.001 (0.001)	Loss 2.1709 (2.2255)	Prec@1 42.969 (44.110)	Prec@5 75.781 (74.728)
Epoch: [36][7520/14090]	Time 0.739 (0.772)	Data 0.001 (0.001)	Loss 2.4063 (2.2255)	Prec@1 45.312 (44.112)	Prec@5 71.094 (74.728)
Epoch: [36][7530/14090]	Time 0.782 (0.772)	Data 0.001 (0.001)	Loss 2.3828 (2.2255)	Prec@1 41.406 (44.114)	Prec@5 70.312 (74.728)
Epoch: [36][7540/14090]	Time 0.757 (0.772)	Data 0.001 (0.001)	Loss 2.1213 (2.2255)	Prec@1 44.531 (44.114)	Prec@5 76.562 (74.729)
Epoch: [36][7550/14090]	Time 0.748 (0.772)	Data 0.001 (0.001)	Loss 2.4697 (2.2255)	Prec@1 44.531 (44.114)	Prec@5 68.750 (74.727)
Epoch: [36][7560/14090]	Time 0.915 (0.772)	Data 0.001 (0.001)	Loss 2.3939 (2.2256)	Prec@1 39.062 (44.112)	Prec@5 75.781 (74.727)
Epoch: [36][7570/14090]	Time 0.737 (0.772)	Data 0.001 (0.001)	Loss 2.2145 (2.2256)	Prec@1 39.844 (44.114)	Prec@5 75.000 (74.728)
Epoch: [36][7580/14090]	Time 0.732 (0.772)	Data 0.001 (0.001)	Loss 2.2704 (2.2255)	Prec@1 42.188 (44.114)	Prec@5 75.000 (74.728)
Epoch: [36][7590/14090]	Time 0.736 (0.772)	Data 0.001 (0.001)	Loss 2.1630 (2.2254)	Prec@1 43.750 (44.115)	Prec@5 75.000 (74.728)
Epoch: [36][7600/14090]	Time 0.766 (0.772)	Data 0.001 (0.001)	Loss 2.0519 (2.2254)	Prec@1 46.094 (44.115)	Prec@5 75.781 (74.728)
Epoch: [36][7610/14090]	Time 0.761 (0.772)	Data 0.001 (0.001)	Loss 2.2283 (2.2254)	Prec@1 46.875 (44.114)	Prec@5 76.562 (74.728)
Epoch: [36][7620/14090]	Time 0.755 (0.772)	Data 0.001 (0.001)	Loss 2.6158 (2.2255)	Prec@1 42.188 (44.114)	Prec@5 67.969 (74.726)
Epoch: [36][7630/14090]	Time 0.870 (0.772)	Data 0.001 (0.001)	Loss 2.2475 (2.2256)	Prec@1 45.312 (44.115)	Prec@5 69.531 (74.725)
Epoch: [36][7640/14090]	Time 0.736 (0.772)	Data 0.001 (0.001)	Loss 2.2430 (2.2256)	Prec@1 42.969 (44.117)	Prec@5 74.219 (74.725)
Epoch: [36][7650/14090]	Time 0.733 (0.772)	Data 0.001 (0.001)	Loss 2.3083 (2.2254)	Prec@1 42.188 (44.120)	Prec@5 74.219 (74.728)
Epoch: [36][7660/14090]	Time 0.745 (0.772)	Data 0.001 (0.001)	Loss 2.1216 (2.2255)	Prec@1 50.000 (44.117)	Prec@5 75.000 (74.727)
Epoch: [36][7670/14090]	Time 0.775 (0.772)	Data 0.001 (0.001)	Loss 2.2118 (2.2254)	Prec@1 46.094 (44.120)	Prec@5 73.438 (74.730)
Epoch: [36][7680/14090]	Time 0.742 (0.772)	Data 0.001 (0.001)	Loss 2.1550 (2.2255)	Prec@1 42.969 (44.119)	Prec@5 76.562 (74.730)
Epoch: [36][7690/14090]	Time 0.747 (0.772)	Data 0.001 (0.001)	Loss 2.1830 (2.2255)	Prec@1 45.312 (44.119)	Prec@5 75.000 (74.731)
Epoch: [36][7700/14090]	Time 0.880 (0.772)	Data 0.001 (0.001)	Loss 2.0489 (2.2255)	Prec@1 50.000 (44.117)	Prec@5 77.344 (74.730)
Epoch: [36][7710/14090]	Time 0.738 (0.772)	Data 0.001 (0.001)	Loss 2.2388 (2.2255)	Prec@1 48.438 (44.118)	Prec@5 78.125 (74.733)
Epoch: [36][7720/14090]	Time 0.747 (0.772)	Data 0.001 (0.001)	Loss 2.3850 (2.2255)	Prec@1 36.719 (44.115)	Prec@5 75.000 (74.733)
Epoch: [36][7730/14090]	Time 0.750 (0.772)	Data 0.001 (0.001)	Loss 2.0579 (2.2256)	Prec@1 41.406 (44.111)	Prec@5 78.125 (74.731)
Epoch: [36][7740/14090]	Time 0.767 (0.772)	Data 0.001 (0.001)	Loss 2.4301 (2.2256)	Prec@1 39.062 (44.110)	Prec@5 72.656 (74.730)
Epoch: [36][7750/14090]	Time 0.757 (0.772)	Data 0.001 (0.001)	Loss 2.1880 (2.2256)	Prec@1 50.000 (44.112)	Prec@5 75.781 (74.729)
Epoch: [36][7760/14090]	Time 0.751 (0.772)	Data 0.001 (0.001)	Loss 2.3631 (2.2256)	Prec@1 45.312 (44.113)	Prec@5 68.750 (74.730)
Epoch: [36][7770/14090]	Time 0.887 (0.772)	Data 0.001 (0.001)	Loss 2.4014 (2.2257)	Prec@1 44.531 (44.113)	Prec@5 74.219 (74.727)
Epoch: [36][7780/14090]	Time 0.733 (0.772)	Data 0.001 (0.001)	Loss 1.9978 (2.2256)	Prec@1 53.906 (44.116)	Prec@5 79.688 (74.729)
Epoch: [36][7790/14090]	Time 0.775 (0.772)	Data 0.001 (0.001)	Loss 2.3364 (2.2256)	Prec@1 39.062 (44.114)	Prec@5 71.875 (74.728)
Epoch: [36][7800/14090]	Time 0.762 (0.772)	Data 0.001 (0.001)	Loss 2.1357 (2.2256)	Prec@1 42.969 (44.114)	Prec@5 80.469 (74.730)
Epoch: [36][7810/14090]	Time 0.740 (0.772)	Data 0.001 (0.001)	Loss 2.3923 (2.2257)	Prec@1 40.625 (44.114)	Prec@5 69.531 (74.729)
Epoch: [36][7820/14090]	Time 0.761 (0.772)	Data 0.001 (0.001)	Loss 2.5630 (2.2257)	Prec@1 41.406 (44.114)	Prec@5 66.406 (74.727)
Epoch: [36][7830/14090]	Time 0.756 (0.772)	Data 0.001 (0.001)	Loss 2.6505 (2.2257)	Prec@1 40.625 (44.112)	Prec@5 63.281 (74.727)
Epoch: [36][7840/14090]	Time 0.874 (0.772)	Data 0.001 (0.001)	Loss 1.9734 (2.2258)	Prec@1 48.438 (44.112)	Prec@5 75.000 (74.726)
Epoch: [36][7850/14090]	Time 0.755 (0.772)	Data 0.001 (0.001)	Loss 2.7037 (2.2259)	Prec@1 31.250 (44.108)	Prec@5 67.188 (74.723)
Epoch: [36][7860/14090]	Time 0.757 (0.772)	Data 0.001 (0.001)	Loss 2.2080 (2.2260)	Prec@1 49.219 (44.107)	Prec@5 75.000 (74.721)
Epoch: [36][7870/14090]	Time 0.743 (0.772)	Data 0.001 (0.001)	Loss 2.5210 (2.2260)	Prec@1 37.500 (44.105)	Prec@5 62.500 (74.720)
Epoch: [36][7880/14090]	Time 0.752 (0.772)	Data 0.001 (0.001)	Loss 2.3772 (2.2261)	Prec@1 38.281 (44.104)	Prec@5 64.844 (74.718)
Epoch: [36][7890/14090]	Time 0.732 (0.772)	Data 0.001 (0.001)	Loss 2.1486 (2.2261)	Prec@1 36.719 (44.104)	Prec@5 77.344 (74.719)
Epoch: [36][7900/14090]	Time 0.733 (0.772)	Data 0.001 (0.001)	Loss 2.1127 (2.2261)	Prec@1 46.875 (44.104)	Prec@5 79.688 (74.717)
Epoch: [36][7910/14090]	Time 0.894 (0.772)	Data 0.001 (0.001)	Loss 2.2536 (2.2261)	Prec@1 42.969 (44.103)	Prec@5 78.906 (74.716)
Epoch: [36][7920/14090]	Time 0.747 (0.772)	Data 0.001 (0.001)	Loss 2.2093 (2.2262)	Prec@1 40.625 (44.102)	Prec@5 76.562 (74.716)
Epoch: [36][7930/14090]	Time 0.755 (0.772)	Data 0.001 (0.001)	Loss 2.0359 (2.2262)	Prec@1 47.656 (44.101)	Prec@5 78.906 (74.717)
Epoch: [36][7940/14090]	Time 0.738 (0.772)	Data 0.001 (0.001)	Loss 2.4715 (2.2263)	Prec@1 39.062 (44.099)	Prec@5 71.875 (74.716)
Epoch: [36][7950/14090]	Time 0.776 (0.772)	Data 0.001 (0.001)	Loss 2.3395 (2.2263)	Prec@1 39.844 (44.097)	Prec@5 71.094 (74.716)
Epoch: [36][7960/14090]	Time 0.764 (0.772)	Data 0.001 (0.001)	Loss 2.2860 (2.2263)	Prec@1 46.094 (44.099)	Prec@5 71.875 (74.716)
Epoch: [36][7970/14090]	Time 0.782 (0.772)	Data 0.001 (0.001)	Loss 2.1981 (2.2264)	Prec@1 41.406 (44.099)	Prec@5 73.438 (74.714)
Epoch: [36][7980/14090]	Time 0.821 (0.772)	Data 0.001 (0.001)	Loss 2.2208 (2.2262)	Prec@1 41.406 (44.101)	Prec@5 72.656 (74.718)
Epoch: [36][7990/14090]	Time 0.738 (0.772)	Data 0.001 (0.001)	Loss 2.2957 (2.2263)	Prec@1 47.656 (44.099)	Prec@5 71.875 (74.717)
Epoch: [36][8000/14090]	Time 0.740 (0.772)	Data 0.001 (0.001)	Loss 2.3983 (2.2264)	Prec@1 41.406 (44.100)	Prec@5 68.750 (74.714)
Epoch: [36][8010/14090]	Time 0.758 (0.772)	Data 0.001 (0.001)	Loss 2.1686 (2.2264)	Prec@1 49.219 (44.098)	Prec@5 75.000 (74.712)
Epoch: [36][8020/14090]	Time 0.745 (0.772)	Data 0.001 (0.001)	Loss 2.3009 (2.2264)	Prec@1 41.406 (44.099)	Prec@5 69.531 (74.713)
Epoch: [36][8030/14090]	Time 0.751 (0.772)	Data 0.001 (0.001)	Loss 2.1585 (2.2265)	Prec@1 46.094 (44.094)	Prec@5 75.000 (74.709)
Epoch: [36][8040/14090]	Time 0.752 (0.772)	Data 0.001 (0.001)	Loss 2.3305 (2.2266)	Prec@1 42.969 (44.093)	Prec@5 71.875 (74.708)
Epoch: [36][8050/14090]	Time 0.896 (0.772)	Data 0.001 (0.001)	Loss 2.2879 (2.2266)	Prec@1 46.094 (44.091)	Prec@5 69.531 (74.706)
Epoch: [36][8060/14090]	Time 0.753 (0.772)	Data 0.001 (0.001)	Loss 2.1854 (2.2266)	Prec@1 40.625 (44.090)	Prec@5 78.906 (74.707)
Epoch: [36][8070/14090]	Time 0.776 (0.772)	Data 0.001 (0.001)	Loss 1.9702 (2.2266)	Prec@1 50.000 (44.090)	Prec@5 80.469 (74.708)
Epoch: [36][8080/14090]	Time 0.736 (0.772)	Data 0.001 (0.001)	Loss 2.2715 (2.2267)	Prec@1 46.094 (44.090)	Prec@5 72.656 (74.706)
Epoch: [36][8090/14090]	Time 0.780 (0.772)	Data 0.001 (0.001)	Loss 2.5044 (2.2267)	Prec@1 35.938 (44.090)	Prec@5 70.312 (74.705)
Epoch: [36][8100/14090]	Time 0.763 (0.772)	Data 0.001 (0.001)	Loss 2.0491 (2.2267)	Prec@1 49.219 (44.088)	Prec@5 79.688 (74.705)
Epoch: [36][8110/14090]	Time 0.757 (0.772)	Data 0.001 (0.001)	Loss 2.4068 (2.2268)	Prec@1 39.844 (44.087)	Prec@5 71.094 (74.703)
Epoch: [36][8120/14090]	Time 0.890 (0.772)	Data 0.001 (0.001)	Loss 2.3667 (2.2269)	Prec@1 43.750 (44.086)	Prec@5 67.969 (74.700)
Epoch: [36][8130/14090]	Time 0.777 (0.772)	Data 0.001 (0.001)	Loss 2.2410 (2.2269)	Prec@1 39.062 (44.084)	Prec@5 74.219 (74.698)
Epoch: [36][8140/14090]	Time 0.756 (0.772)	Data 0.001 (0.001)	Loss 2.4648 (2.2269)	Prec@1 35.938 (44.086)	Prec@5 73.438 (74.699)
Epoch: [36][8150/14090]	Time 0.754 (0.772)	Data 0.001 (0.001)	Loss 2.2739 (2.2270)	Prec@1 45.312 (44.084)	Prec@5 73.438 (74.697)
Epoch: [36][8160/14090]	Time 0.752 (0.772)	Data 0.001 (0.001)	Loss 2.2499 (2.2270)	Prec@1 44.531 (44.083)	Prec@5 71.875 (74.695)
Epoch: [36][8170/14090]	Time 0.753 (0.772)	Data 0.001 (0.001)	Loss 2.1714 (2.2270)	Prec@1 47.656 (44.082)	Prec@5 77.344 (74.695)
Epoch: [36][8180/14090]	Time 0.750 (0.772)	Data 0.001 (0.001)	Loss 2.3878 (2.2270)	Prec@1 35.938 (44.080)	Prec@5 74.219 (74.696)
Epoch: [36][8190/14090]	Time 0.853 (0.772)	Data 0.001 (0.001)	Loss 2.2238 (2.2270)	Prec@1 46.875 (44.081)	Prec@5 78.906 (74.698)
Epoch: [36][8200/14090]	Time 0.771 (0.772)	Data 0.001 (0.001)	Loss 2.3717 (2.2270)	Prec@1 40.625 (44.080)	Prec@5 71.875 (74.696)
Epoch: [36][8210/14090]	Time 0.732 (0.772)	Data 0.001 (0.001)	Loss 2.0618 (2.2271)	Prec@1 48.438 (44.078)	Prec@5 78.125 (74.694)
Epoch: [36][8220/14090]	Time 0.758 (0.772)	Data 0.001 (0.001)	Loss 2.2284 (2.2272)	Prec@1 46.094 (44.076)	Prec@5 76.562 (74.689)
Epoch: [36][8230/14090]	Time 0.740 (0.772)	Data 0.001 (0.001)	Loss 2.2714 (2.2274)	Prec@1 42.188 (44.073)	Prec@5 73.438 (74.687)
Epoch: [36][8240/14090]	Time 0.738 (0.772)	Data 0.001 (0.001)	Loss 2.4404 (2.2274)	Prec@1 42.188 (44.072)	Prec@5 69.531 (74.686)
Epoch: [36][8250/14090]	Time 0.742 (0.772)	Data 0.001 (0.001)	Loss 2.1111 (2.2273)	Prec@1 50.781 (44.076)	Prec@5 76.562 (74.686)
Epoch: [36][8260/14090]	Time 0.852 (0.772)	Data 0.001 (0.001)	Loss 2.1749 (2.2273)	Prec@1 43.750 (44.076)	Prec@5 73.438 (74.685)
Epoch: [36][8270/14090]	Time 0.738 (0.772)	Data 0.001 (0.001)	Loss 2.2993 (2.2274)	Prec@1 40.625 (44.072)	Prec@5 72.656 (74.685)
Epoch: [36][8280/14090]	Time 0.747 (0.772)	Data 0.001 (0.001)	Loss 2.4036 (2.2274)	Prec@1 41.406 (44.069)	Prec@5 68.750 (74.683)
Epoch: [36][8290/14090]	Time 0.746 (0.772)	Data 0.001 (0.001)	Loss 2.0352 (2.2273)	Prec@1 44.531 (44.070)	Prec@5 79.688 (74.688)
Epoch: [36][8300/14090]	Time 0.748 (0.772)	Data 0.001 (0.001)	Loss 1.7588 (2.2273)	Prec@1 49.219 (44.071)	Prec@5 84.375 (74.688)
Epoch: [36][8310/14090]	Time 0.732 (0.772)	Data 0.001 (0.001)	Loss 2.1172 (2.2273)	Prec@1 45.312 (44.071)	Prec@5 78.906 (74.688)
Epoch: [36][8320/14090]	Time 0.756 (0.772)	Data 0.001 (0.001)	Loss 2.1700 (2.2273)	Prec@1 40.625 (44.070)	Prec@5 74.219 (74.686)
Epoch: [36][8330/14090]	Time 0.880 (0.772)	Data 0.002 (0.001)	Loss 2.3253 (2.2274)	Prec@1 45.312 (44.069)	Prec@5 75.000 (74.685)
Epoch: [36][8340/14090]	Time 0.759 (0.772)	Data 0.001 (0.001)	Loss 2.1833 (2.2274)	Prec@1 42.188 (44.067)	Prec@5 73.438 (74.684)
Epoch: [36][8350/14090]	Time 0.767 (0.772)	Data 0.001 (0.001)	Loss 2.2036 (2.2275)	Prec@1 45.312 (44.067)	Prec@5 73.438 (74.683)
Epoch: [36][8360/14090]	Time 0.793 (0.772)	Data 0.001 (0.001)	Loss 2.0715 (2.2275)	Prec@1 53.906 (44.066)	Prec@5 80.469 (74.684)
Epoch: [36][8370/14090]	Time 0.723 (0.772)	Data 0.001 (0.001)	Loss 2.6595 (2.2276)	Prec@1 40.625 (44.064)	Prec@5 60.938 (74.680)
Epoch: [36][8380/14090]	Time 0.756 (0.772)	Data 0.001 (0.001)	Loss 2.1392 (2.2278)	Prec@1 42.969 (44.062)	Prec@5 78.906 (74.678)
Epoch: [36][8390/14090]	Time 0.724 (0.772)	Data 0.001 (0.001)	Loss 2.0611 (2.2277)	Prec@1 50.781 (44.066)	Prec@5 78.906 (74.680)
Epoch: [36][8400/14090]	Time 0.856 (0.772)	Data 0.001 (0.001)	Loss 2.1808 (2.2277)	Prec@1 37.500 (44.066)	Prec@5 81.250 (74.681)
Epoch: [36][8410/14090]	Time 0.765 (0.772)	Data 0.001 (0.001)	Loss 1.9580 (2.2276)	Prec@1 50.781 (44.068)	Prec@5 80.469 (74.682)
Epoch: [36][8420/14090]	Time 0.750 (0.772)	Data 0.001 (0.001)	Loss 2.4782 (2.2277)	Prec@1 37.500 (44.066)	Prec@5 71.094 (74.680)
Epoch: [36][8430/14090]	Time 0.749 (0.772)	Data 0.001 (0.001)	Loss 2.2585 (2.2277)	Prec@1 39.062 (44.065)	Prec@5 75.781 (74.681)
Epoch: [36][8440/14090]	Time 0.757 (0.772)	Data 0.001 (0.001)	Loss 2.2338 (2.2277)	Prec@1 49.219 (44.064)	Prec@5 73.438 (74.681)
Epoch: [36][8450/14090]	Time 0.785 (0.772)	Data 0.001 (0.001)	Loss 2.0512 (2.2277)	Prec@1 52.344 (44.064)	Prec@5 77.344 (74.681)
Epoch: [36][8460/14090]	Time 0.743 (0.772)	Data 0.001 (0.001)	Loss 1.7682 (2.2277)	Prec@1 53.906 (44.067)	Prec@5 82.812 (74.680)
Epoch: [36][8470/14090]	Time 0.894 (0.772)	Data 0.001 (0.001)	Loss 2.6024 (2.2277)	Prec@1 35.938 (44.067)	Prec@5 67.188 (74.679)
Epoch: [36][8480/14090]	Time 0.783 (0.772)	Data 0.001 (0.001)	Loss 2.2770 (2.2276)	Prec@1 41.406 (44.069)	Prec@5 70.312 (74.680)
Epoch: [36][8490/14090]	Time 0.732 (0.772)	Data 0.001 (0.001)	Loss 2.1872 (2.2275)	Prec@1 46.875 (44.069)	Prec@5 74.219 (74.681)
Epoch: [36][8500/14090]	Time 0.749 (0.772)	Data 0.001 (0.001)	Loss 2.0449 (2.2275)	Prec@1 47.656 (44.068)	Prec@5 77.344 (74.681)
Epoch: [36][8510/14090]	Time 0.733 (0.772)	Data 0.001 (0.001)	Loss 2.1780 (2.2276)	Prec@1 45.312 (44.068)	Prec@5 75.000 (74.681)
Epoch: [36][8520/14090]	Time 0.728 (0.772)	Data 0.001 (0.001)	Loss 2.2674 (2.2276)	Prec@1 42.969 (44.066)	Prec@5 73.438 (74.680)
Epoch: [36][8530/14090]	Time 0.743 (0.772)	Data 0.001 (0.001)	Loss 2.1385 (2.2276)	Prec@1 47.656 (44.067)	Prec@5 75.781 (74.680)
Epoch: [36][8540/14090]	Time 0.892 (0.772)	Data 0.001 (0.001)	Loss 2.3193 (2.2276)	Prec@1 37.500 (44.065)	Prec@5 75.000 (74.678)
Epoch: [36][8550/14090]	Time 0.741 (0.772)	Data 0.001 (0.001)	Loss 2.0572 (2.2277)	Prec@1 46.875 (44.064)	Prec@5 78.125 (74.678)
Epoch: [36][8560/14090]	Time 0.767 (0.772)	Data 0.001 (0.001)	Loss 2.6653 (2.2277)	Prec@1 32.812 (44.062)	Prec@5 67.969 (74.676)
Epoch: [36][8570/14090]	Time 0.735 (0.772)	Data 0.001 (0.001)	Loss 2.3057 (2.2279)	Prec@1 40.625 (44.059)	Prec@5 73.438 (74.674)
Epoch: [36][8580/14090]	Time 0.747 (0.772)	Data 0.001 (0.001)	Loss 2.0525 (2.2279)	Prec@1 50.000 (44.060)	Prec@5 78.125 (74.673)
Epoch: [36][8590/14090]	Time 0.729 (0.772)	Data 0.001 (0.001)	Loss 2.2563 (2.2279)	Prec@1 43.750 (44.060)	Prec@5 70.312 (74.673)
Epoch: [36][8600/14090]	Time 0.746 (0.772)	Data 0.001 (0.001)	Loss 2.0177 (2.2280)	Prec@1 48.438 (44.058)	Prec@5 76.562 (74.671)
Epoch: [36][8610/14090]	Time 0.908 (0.772)	Data 0.001 (0.001)	Loss 2.0601 (2.2279)	Prec@1 46.875 (44.061)	Prec@5 77.344 (74.674)
Epoch: [36][8620/14090]	Time 0.760 (0.772)	Data 0.001 (0.001)	Loss 2.4766 (2.2280)	Prec@1 42.188 (44.062)	Prec@5 71.094 (74.673)
Epoch: [36][8630/14090]	Time 0.758 (0.772)	Data 0.001 (0.001)	Loss 2.4471 (2.2280)	Prec@1 40.625 (44.062)	Prec@5 69.531 (74.672)
Epoch: [36][8640/14090]	Time 0.743 (0.772)	Data 0.001 (0.001)	Loss 2.4828 (2.2281)	Prec@1 39.062 (44.060)	Prec@5 67.188 (74.669)
Epoch: [36][8650/14090]	Time 0.772 (0.772)	Data 0.001 (0.001)	Loss 2.0844 (2.2281)	Prec@1 46.094 (44.059)	Prec@5 72.656 (74.669)
Epoch: [36][8660/14090]	Time 0.731 (0.772)	Data 0.001 (0.001)	Loss 2.1985 (2.2282)	Prec@1 42.188 (44.058)	Prec@5 72.656 (74.669)
Epoch: [36][8670/14090]	Time 0.774 (0.772)	Data 0.001 (0.001)	Loss 2.2111 (2.2282)	Prec@1 47.656 (44.058)	Prec@5 78.906 (74.669)
Epoch: [36][8680/14090]	Time 0.953 (0.772)	Data 0.001 (0.001)	Loss 2.0894 (2.2281)	Prec@1 46.875 (44.060)	Prec@5 75.781 (74.670)
Epoch: [36][8690/14090]	Time 0.759 (0.772)	Data 0.001 (0.001)	Loss 2.5896 (2.2282)	Prec@1 42.188 (44.058)	Prec@5 67.188 (74.669)
Epoch: [36][8700/14090]	Time 0.731 (0.772)	Data 0.001 (0.001)	Loss 2.0969 (2.2281)	Prec@1 45.312 (44.059)	Prec@5 78.906 (74.671)
Epoch: [36][8710/14090]	Time 0.781 (0.772)	Data 0.001 (0.001)	Loss 2.2548 (2.2282)	Prec@1 49.219 (44.058)	Prec@5 71.094 (74.670)
Epoch: [36][8720/14090]	Time 0.747 (0.772)	Data 0.001 (0.001)	Loss 2.0742 (2.2282)	Prec@1 51.562 (44.057)	Prec@5 76.562 (74.667)
Epoch: [36][8730/14090]	Time 0.765 (0.772)	Data 0.001 (0.001)	Loss 2.4563 (2.2283)	Prec@1 39.844 (44.054)	Prec@5 69.531 (74.666)
Epoch: [36][8740/14090]	Time 0.751 (0.772)	Data 0.001 (0.001)	Loss 2.0037 (2.2282)	Prec@1 50.000 (44.055)	Prec@5 76.562 (74.668)
Epoch: [36][8750/14090]	Time 0.830 (0.772)	Data 0.001 (0.001)	Loss 2.4755 (2.2283)	Prec@1 37.500 (44.053)	Prec@5 75.000 (74.670)
Epoch: [36][8760/14090]	Time 0.785 (0.772)	Data 0.001 (0.001)	Loss 2.1304 (2.2282)	Prec@1 42.969 (44.054)	Prec@5 78.125 (74.670)
Epoch: [36][8770/14090]	Time 0.729 (0.772)	Data 0.001 (0.001)	Loss 2.0925 (2.2282)	Prec@1 47.656 (44.056)	Prec@5 77.344 (74.671)
Epoch: [36][8780/14090]	Time 0.745 (0.772)	Data 0.001 (0.001)	Loss 2.3361 (2.2282)	Prec@1 42.188 (44.053)	Prec@5 71.875 (74.670)
Epoch: [36][8790/14090]	Time 0.772 (0.772)	Data 0.001 (0.001)	Loss 2.5051 (2.2282)	Prec@1 42.969 (44.055)	Prec@5 71.875 (74.672)
Epoch: [36][8800/14090]	Time 0.762 (0.772)	Data 0.001 (0.001)	Loss 2.1284 (2.2282)	Prec@1 45.312 (44.056)	Prec@5 75.781 (74.673)
Epoch: [36][8810/14090]	Time 0.742 (0.772)	Data 0.001 (0.001)	Loss 2.2544 (2.2282)	Prec@1 41.406 (44.055)	Prec@5 75.000 (74.672)
Epoch: [36][8820/14090]	Time 0.880 (0.772)	Data 0.001 (0.001)	Loss 2.0688 (2.2283)	Prec@1 50.000 (44.055)	Prec@5 76.562 (74.671)
Epoch: [36][8830/14090]	Time 0.735 (0.772)	Data 0.001 (0.001)	Loss 2.2239 (2.2282)	Prec@1 42.969 (44.054)	Prec@5 73.438 (74.672)
Epoch: [36][8840/14090]	Time 0.743 (0.772)	Data 0.001 (0.001)	Loss 2.2518 (2.2281)	Prec@1 46.094 (44.057)	Prec@5 78.906 (74.674)
Epoch: [36][8850/14090]	Time 0.772 (0.772)	Data 0.001 (0.001)	Loss 2.3539 (2.2282)	Prec@1 47.656 (44.055)	Prec@5 73.438 (74.675)
Epoch: [36][8860/14090]	Time 0.741 (0.772)	Data 0.001 (0.001)	Loss 2.4806 (2.2282)	Prec@1 38.281 (44.054)	Prec@5 67.969 (74.675)
Epoch: [36][8870/14090]	Time 0.758 (0.772)	Data 0.001 (0.001)	Loss 2.2707 (2.2282)	Prec@1 37.500 (44.054)	Prec@5 76.562 (74.676)
Epoch: [36][8880/14090]	Time 0.728 (0.772)	Data 0.001 (0.001)	Loss 2.0848 (2.2281)	Prec@1 50.000 (44.055)	Prec@5 78.125 (74.676)
Epoch: [36][8890/14090]	Time 0.874 (0.772)	Data 0.001 (0.001)	Loss 2.3379 (2.2282)	Prec@1 41.406 (44.054)	Prec@5 71.094 (74.674)
Epoch: [36][8900/14090]	Time 0.755 (0.772)	Data 0.001 (0.001)	Loss 2.1766 (2.2282)	Prec@1 42.188 (44.055)	Prec@5 75.781 (74.673)
Epoch: [36][8910/14090]	Time 0.748 (0.772)	Data 0.001 (0.001)	Loss 2.3055 (2.2283)	Prec@1 44.531 (44.053)	Prec@5 71.094 (74.672)
Epoch: [36][8920/14090]	Time 0.777 (0.772)	Data 0.001 (0.001)	Loss 2.2928 (2.2283)	Prec@1 43.750 (44.053)	Prec@5 75.781 (74.672)
Epoch: [36][8930/14090]	Time 0.774 (0.772)	Data 0.001 (0.001)	Loss 2.4822 (2.2283)	Prec@1 36.719 (44.052)	Prec@5 71.094 (74.671)
Epoch: [36][8940/14090]	Time 0.782 (0.772)	Data 0.001 (0.001)	Loss 2.3040 (2.2283)	Prec@1 42.969 (44.053)	Prec@5 76.562 (74.670)
Epoch: [36][8950/14090]	Time 0.755 (0.772)	Data 0.001 (0.001)	Loss 2.3790 (2.2283)	Prec@1 37.500 (44.054)	Prec@5 74.219 (74.671)
Epoch: [36][8960/14090]	Time 0.914 (0.772)	Data 0.001 (0.001)	Loss 2.1887 (2.2283)	Prec@1 42.969 (44.054)	Prec@5 77.344 (74.673)
Epoch: [36][8970/14090]	Time 0.744 (0.772)	Data 0.001 (0.001)	Loss 2.1314 (2.2283)	Prec@1 41.406 (44.055)	Prec@5 76.562 (74.672)
Epoch: [36][8980/14090]	Time 0.737 (0.772)	Data 0.001 (0.001)	Loss 2.1238 (2.2283)	Prec@1 46.094 (44.054)	Prec@5 77.344 (74.672)
Epoch: [36][8990/14090]	Time 0.748 (0.772)	Data 0.001 (0.001)	Loss 2.3582 (2.2283)	Prec@1 41.406 (44.055)	Prec@5 73.438 (74.672)
Epoch: [36][9000/14090]	Time 0.749 (0.772)	Data 0.001 (0.001)	Loss 2.1689 (2.2282)	Prec@1 43.750 (44.054)	Prec@5 75.781 (74.673)
Epoch: [36][9010/14090]	Time 0.767 (0.772)	Data 0.001 (0.001)	Loss 2.1851 (2.2283)	Prec@1 42.969 (44.054)	Prec@5 75.000 (74.673)
Epoch: [36][9020/14090]	Time 0.745 (0.772)	Data 0.001 (0.001)	Loss 2.2660 (2.2283)	Prec@1 42.969 (44.053)	Prec@5 73.438 (74.673)
Epoch: [36][9030/14090]	Time 0.888 (0.772)	Data 0.001 (0.001)	Loss 2.2092 (2.2283)	Prec@1 41.406 (44.053)	Prec@5 80.469 (74.673)
Epoch: [36][9040/14090]	Time 0.742 (0.772)	Data 0.001 (0.001)	Loss 2.4193 (2.2284)	Prec@1 42.969 (44.053)	Prec@5 67.969 (74.671)
Epoch: [36][9050/14090]	Time 0.775 (0.772)	Data 0.001 (0.001)	Loss 1.9128 (2.2283)	Prec@1 52.344 (44.054)	Prec@5 78.906 (74.673)
Epoch: [36][9060/14090]	Time 0.785 (0.772)	Data 0.001 (0.001)	Loss 2.1580 (2.2284)	Prec@1 46.875 (44.054)	Prec@5 75.000 (74.671)
Epoch: [36][9070/14090]	Time 0.744 (0.772)	Data 0.001 (0.001)	Loss 2.1535 (2.2283)	Prec@1 39.062 (44.055)	Prec@5 73.438 (74.673)
Epoch: [36][9080/14090]	Time 0.758 (0.772)	Data 0.001 (0.001)	Loss 2.5921 (2.2284)	Prec@1 37.500 (44.055)	Prec@5 67.188 (74.672)
Epoch: [36][9090/14090]	Time 0.759 (0.772)	Data 0.001 (0.001)	Loss 2.3101 (2.2285)	Prec@1 41.406 (44.054)	Prec@5 73.438 (74.671)
Epoch: [36][9100/14090]	Time 0.840 (0.772)	Data 0.001 (0.001)	Loss 2.1980 (2.2285)	Prec@1 45.312 (44.053)	Prec@5 78.906 (74.671)
Epoch: [36][9110/14090]	Time 0.775 (0.772)	Data 0.001 (0.001)	Loss 2.2108 (2.2286)	Prec@1 43.750 (44.051)	Prec@5 76.562 (74.670)
Epoch: [36][9120/14090]	Time 0.730 (0.772)	Data 0.001 (0.001)	Loss 2.0873 (2.2286)	Prec@1 46.875 (44.050)	Prec@5 75.781 (74.669)
Epoch: [36][9130/14090]	Time 0.746 (0.772)	Data 0.001 (0.001)	Loss 2.1940 (2.2286)	Prec@1 43.750 (44.050)	Prec@5 72.656 (74.669)
Epoch: [36][9140/14090]	Time 0.733 (0.772)	Data 0.001 (0.001)	Loss 2.0824 (2.2285)	Prec@1 46.875 (44.052)	Prec@5 79.688 (74.670)
Epoch: [36][9150/14090]	Time 0.754 (0.772)	Data 0.001 (0.001)	Loss 2.4842 (2.2285)	Prec@1 40.625 (44.052)	Prec@5 70.312 (74.670)
Epoch: [36][9160/14090]	Time 0.780 (0.772)	Data 0.001 (0.001)	Loss 2.3258 (2.2284)	Prec@1 43.750 (44.054)	Prec@5 71.094 (74.670)
Epoch: [36][9170/14090]	Time 0.869 (0.772)	Data 0.001 (0.001)	Loss 2.4997 (2.2285)	Prec@1 34.375 (44.052)	Prec@5 63.281 (74.668)
Epoch: [36][9180/14090]	Time 0.752 (0.772)	Data 0.001 (0.001)	Loss 2.1074 (2.2285)	Prec@1 45.312 (44.053)	Prec@5 75.781 (74.668)
Epoch: [36][9190/14090]	Time 0.797 (0.772)	Data 0.001 (0.001)	Loss 2.1649 (2.2286)	Prec@1 38.281 (44.050)	Prec@5 76.562 (74.666)
Epoch: [36][9200/14090]	Time 0.755 (0.772)	Data 0.001 (0.001)	Loss 2.1077 (2.2285)	Prec@1 45.312 (44.053)	Prec@5 80.469 (74.668)
Epoch: [36][9210/14090]	Time 0.766 (0.772)	Data 0.001 (0.001)	Loss 2.3630 (2.2286)	Prec@1 36.719 (44.052)	Prec@5 68.750 (74.668)
Epoch: [36][9220/14090]	Time 0.748 (0.772)	Data 0.001 (0.001)	Loss 2.0525 (2.2286)	Prec@1 50.000 (44.052)	Prec@5 78.906 (74.669)
Epoch: [36][9230/14090]	Time 0.782 (0.772)	Data 0.001 (0.001)	Loss 2.2095 (2.2286)	Prec@1 46.094 (44.054)	Prec@5 71.875 (74.669)
Epoch: [36][9240/14090]	Time 0.868 (0.772)	Data 0.001 (0.001)	Loss 2.2896 (2.2286)	Prec@1 43.750 (44.055)	Prec@5 75.000 (74.670)
Epoch: [36][9250/14090]	Time 0.756 (0.772)	Data 0.001 (0.001)	Loss 1.9792 (2.2286)	Prec@1 53.125 (44.056)	Prec@5 82.031 (74.669)
Epoch: [36][9260/14090]	Time 0.739 (0.772)	Data 0.001 (0.001)	Loss 2.2368 (2.2286)	Prec@1 45.312 (44.056)	Prec@5 74.219 (74.668)
Epoch: [36][9270/14090]	Time 0.765 (0.772)	Data 0.001 (0.001)	Loss 2.3321 (2.2289)	Prec@1 39.844 (44.050)	Prec@5 71.875 (74.663)
Epoch: [36][9280/14090]	Time 0.742 (0.772)	Data 0.001 (0.001)	Loss 2.3922 (2.2289)	Prec@1 36.719 (44.048)	Prec@5 75.000 (74.662)
Epoch: [36][9290/14090]	Time 0.754 (0.772)	Data 0.001 (0.001)	Loss 2.4296 (2.2289)	Prec@1 39.844 (44.051)	Prec@5 71.875 (74.661)
Epoch: [36][9300/14090]	Time 0.756 (0.772)	Data 0.001 (0.001)	Loss 2.2179 (2.2289)	Prec@1 46.094 (44.049)	Prec@5 75.000 (74.661)
Epoch: [36][9310/14090]	Time 0.880 (0.772)	Data 0.001 (0.001)	Loss 2.3837 (2.2289)	Prec@1 36.719 (44.050)	Prec@5 72.656 (74.662)
Epoch: [36][9320/14090]	Time 0.762 (0.772)	Data 0.001 (0.001)	Loss 2.2218 (2.2289)	Prec@1 43.750 (44.050)	Prec@5 77.344 (74.662)
Epoch: [36][9330/14090]	Time 0.730 (0.772)	Data 0.001 (0.001)	Loss 1.8612 (2.2290)	Prec@1 53.125 (44.050)	Prec@5 82.031 (74.661)
Epoch: [36][9340/14090]	Time 0.757 (0.772)	Data 0.001 (0.001)	Loss 1.9825 (2.2290)	Prec@1 49.219 (44.051)	Prec@5 79.688 (74.661)
Epoch: [36][9350/14090]	Time 0.756 (0.772)	Data 0.001 (0.001)	Loss 2.2642 (2.2289)	Prec@1 39.844 (44.052)	Prec@5 72.656 (74.663)
Epoch: [36][9360/14090]	Time 0.753 (0.772)	Data 0.001 (0.001)	Loss 1.9670 (2.2288)	Prec@1 46.875 (44.054)	Prec@5 81.250 (74.665)
Epoch: [36][9370/14090]	Time 0.743 (0.772)	Data 0.002 (0.001)	Loss 2.3653 (2.2288)	Prec@1 39.062 (44.053)	Prec@5 72.656 (74.665)
Epoch: [36][9380/14090]	Time 0.888 (0.772)	Data 0.001 (0.001)	Loss 2.0765 (2.2287)	Prec@1 42.188 (44.053)	Prec@5 82.031 (74.669)
Epoch: [36][9390/14090]	Time 0.733 (0.772)	Data 0.001 (0.001)	Loss 2.1118 (2.2286)	Prec@1 48.438 (44.056)	Prec@5 84.375 (74.672)
Epoch: [36][9400/14090]	Time 0.753 (0.772)	Data 0.001 (0.001)	Loss 2.3999 (2.2286)	Prec@1 40.625 (44.057)	Prec@5 75.000 (74.673)
Epoch: [36][9410/14090]	Time 0.724 (0.772)	Data 0.001 (0.001)	Loss 2.4565 (2.2286)	Prec@1 37.500 (44.055)	Prec@5 67.188 (74.671)
Epoch: [36][9420/14090]	Time 0.752 (0.772)	Data 0.001 (0.001)	Loss 2.4442 (2.2286)	Prec@1 42.188 (44.057)	Prec@5 72.656 (74.672)
Epoch: [36][9430/14090]	Time 0.747 (0.772)	Data 0.001 (0.001)	Loss 2.2154 (2.2285)	Prec@1 42.969 (44.058)	Prec@5 75.000 (74.672)
Epoch: [36][9440/14090]	Time 0.750 (0.772)	Data 0.001 (0.001)	Loss 2.2509 (2.2284)	Prec@1 44.531 (44.058)	Prec@5 75.781 (74.676)
Epoch: [36][9450/14090]	Time 0.874 (0.772)	Data 0.001 (0.001)	Loss 1.9996 (2.2283)	Prec@1 50.000 (44.060)	Prec@5 77.344 (74.677)
Epoch: [36][9460/14090]	Time 0.738 (0.772)	Data 0.001 (0.001)	Loss 2.3083 (2.2285)	Prec@1 36.719 (44.056)	Prec@5 69.531 (74.674)
Epoch: [36][9470/14090]	Time 0.741 (0.772)	Data 0.001 (0.001)	Loss 2.0260 (2.2285)	Prec@1 55.469 (44.057)	Prec@5 78.125 (74.673)
Epoch: [36][9480/14090]	Time 0.748 (0.772)	Data 0.001 (0.001)	Loss 2.2970 (2.2285)	Prec@1 42.969 (44.057)	Prec@5 73.438 (74.673)
Epoch: [36][9490/14090]	Time 0.764 (0.772)	Data 0.001 (0.001)	Loss 2.4042 (2.2286)	Prec@1 39.062 (44.054)	Prec@5 69.531 (74.670)
Epoch: [36][9500/14090]	Time 0.733 (0.772)	Data 0.001 (0.001)	Loss 2.1565 (2.2286)	Prec@1 48.438 (44.052)	Prec@5 73.438 (74.669)
Epoch: [36][9510/14090]	Time 0.728 (0.772)	Data 0.001 (0.001)	Loss 2.2622 (2.2285)	Prec@1 44.531 (44.054)	Prec@5 79.688 (74.670)
Epoch: [36][9520/14090]	Time 0.908 (0.772)	Data 0.001 (0.001)	Loss 2.2993 (2.2285)	Prec@1 40.625 (44.053)	Prec@5 72.656 (74.670)
Epoch: [36][9530/14090]	Time 0.740 (0.772)	Data 0.001 (0.001)	Loss 2.5160 (2.2285)	Prec@1 42.188 (44.054)	Prec@5 64.062 (74.669)
Epoch: [36][9540/14090]	Time 0.764 (0.772)	Data 0.001 (0.001)	Loss 2.1401 (2.2285)	Prec@1 43.750 (44.053)	Prec@5 76.562 (74.669)
Epoch: [36][9550/14090]	Time 0.737 (0.772)	Data 0.001 (0.001)	Loss 2.4743 (2.2285)	Prec@1 35.156 (44.051)	Prec@5 70.312 (74.668)
Epoch: [36][9560/14090]	Time 0.758 (0.772)	Data 0.001 (0.001)	Loss 2.1669 (2.2286)	Prec@1 46.875 (44.049)	Prec@5 71.875 (74.665)
Epoch: [36][9570/14090]	Time 0.765 (0.772)	Data 0.001 (0.001)	Loss 2.1812 (2.2287)	Prec@1 45.312 (44.048)	Prec@5 72.656 (74.665)
Epoch: [36][9580/14090]	Time 0.753 (0.772)	Data 0.001 (0.001)	Loss 1.9608 (2.2287)	Prec@1 49.219 (44.047)	Prec@5 82.812 (74.665)
Epoch: [36][9590/14090]	Time 0.849 (0.772)	Data 0.001 (0.001)	Loss 2.3834 (2.2287)	Prec@1 43.750 (44.048)	Prec@5 74.219 (74.665)
Epoch: [36][9600/14090]	Time 0.732 (0.772)	Data 0.001 (0.001)	Loss 2.0445 (2.2287)	Prec@1 50.781 (44.049)	Prec@5 78.125 (74.667)
Epoch: [36][9610/14090]	Time 0.726 (0.772)	Data 0.001 (0.001)	Loss 2.2499 (2.2286)	Prec@1 42.188 (44.051)	Prec@5 75.781 (74.669)
Epoch: [36][9620/14090]	Time 0.758 (0.772)	Data 0.001 (0.001)	Loss 2.1344 (2.2285)	Prec@1 46.094 (44.052)	Prec@5 78.125 (74.669)
Epoch: [36][9630/14090]	Time 0.745 (0.772)	Data 0.001 (0.001)	Loss 2.2315 (2.2286)	Prec@1 42.969 (44.051)	Prec@5 72.656 (74.669)
Epoch: [36][9640/14090]	Time 0.758 (0.772)	Data 0.001 (0.001)	Loss 2.1640 (2.2285)	Prec@1 46.094 (44.051)	Prec@5 71.875 (74.669)
Epoch: [36][9650/14090]	Time 0.759 (0.772)	Data 0.001 (0.001)	Loss 2.3526 (2.2285)	Prec@1 50.000 (44.053)	Prec@5 73.438 (74.669)
Epoch: [36][9660/14090]	Time 0.870 (0.772)	Data 0.001 (0.001)	Loss 2.2004 (2.2285)	Prec@1 41.406 (44.054)	Prec@5 75.781 (74.672)
Epoch: [36][9670/14090]	Time 0.721 (0.772)	Data 0.001 (0.001)	Loss 2.5439 (2.2285)	Prec@1 44.531 (44.053)	Prec@5 68.750 (74.673)
Epoch: [36][9680/14090]	Time 0.740 (0.772)	Data 0.001 (0.001)	Loss 2.3908 (2.2285)	Prec@1 39.844 (44.051)	Prec@5 68.750 (74.673)
Epoch: [36][9690/14090]	Time 0.751 (0.772)	Data 0.001 (0.001)	Loss 2.2486 (2.2285)	Prec@1 42.969 (44.052)	Prec@5 75.781 (74.672)
Epoch: [36][9700/14090]	Time 0.732 (0.772)	Data 0.001 (0.001)	Loss 2.2005 (2.2285)	Prec@1 40.625 (44.050)	Prec@5 70.312 (74.671)
Epoch: [36][9710/14090]	Time 0.750 (0.772)	Data 0.001 (0.001)	Loss 2.0419 (2.2285)	Prec@1 49.219 (44.052)	Prec@5 79.688 (74.672)
Epoch: [36][9720/14090]	Time 0.748 (0.772)	Data 0.002 (0.001)	Loss 2.2630 (2.2285)	Prec@1 40.625 (44.053)	Prec@5 74.219 (74.671)
Epoch: [36][9730/14090]	Time 0.873 (0.772)	Data 0.001 (0.001)	Loss 2.0613 (2.2286)	Prec@1 47.656 (44.053)	Prec@5 78.906 (74.671)
Epoch: [36][9740/14090]	Time 0.787 (0.772)	Data 0.001 (0.001)	Loss 2.1227 (2.2285)	Prec@1 46.094 (44.053)	Prec@5 78.125 (74.673)
Epoch: [36][9750/14090]	Time 0.734 (0.772)	Data 0.001 (0.001)	Loss 2.2351 (2.2286)	Prec@1 44.531 (44.052)	Prec@5 74.219 (74.672)
Epoch: [36][9760/14090]	Time 0.738 (0.772)	Data 0.001 (0.001)	Loss 2.4868 (2.2286)	Prec@1 41.406 (44.052)	Prec@5 67.969 (74.672)
Epoch: [36][9770/14090]	Time 0.726 (0.772)	Data 0.001 (0.001)	Loss 2.4448 (2.2287)	Prec@1 36.719 (44.051)	Prec@5 75.000 (74.673)
Epoch: [36][9780/14090]	Time 0.757 (0.772)	Data 0.001 (0.001)	Loss 2.2532 (2.2287)	Prec@1 44.531 (44.050)	Prec@5 70.312 (74.672)
Epoch: [36][9790/14090]	Time 0.737 (0.772)	Data 0.001 (0.001)	Loss 2.3217 (2.2287)	Prec@1 46.875 (44.050)	Prec@5 73.438 (74.671)
Epoch: [36][9800/14090]	Time 0.925 (0.772)	Data 0.001 (0.001)	Loss 2.5076 (2.2287)	Prec@1 44.531 (44.050)	Prec@5 71.094 (74.673)
Epoch: [36][9810/14090]	Time 0.745 (0.772)	Data 0.001 (0.001)	Loss 2.0126 (2.2286)	Prec@1 47.656 (44.051)	Prec@5 78.906 (74.674)
Epoch: [36][9820/14090]	Time 0.740 (0.772)	Data 0.001 (0.001)	Loss 2.1448 (2.2286)	Prec@1 46.875 (44.051)	Prec@5 78.125 (74.676)
Epoch: [36][9830/14090]	Time 0.753 (0.772)	Data 0.001 (0.001)	Loss 2.2317 (2.2285)	Prec@1 44.531 (44.053)	Prec@5 76.562 (74.676)
Epoch: [36][9840/14090]	Time 0.772 (0.772)	Data 0.001 (0.001)	Loss 2.6098 (2.2285)	Prec@1 37.500 (44.052)	Prec@5 66.406 (74.676)
Epoch: [36][9850/14090]	Time 0.768 (0.772)	Data 0.001 (0.001)	Loss 2.1952 (2.2285)	Prec@1 45.312 (44.052)	Prec@5 76.562 (74.676)
Epoch: [36][9860/14090]	Time 0.755 (0.772)	Data 0.001 (0.001)	Loss 2.1348 (2.2286)	Prec@1 46.875 (44.054)	Prec@5 77.344 (74.676)
Epoch: [36][9870/14090]	Time 0.849 (0.772)	Data 0.001 (0.001)	Loss 2.3074 (2.2285)	Prec@1 39.844 (44.054)	Prec@5 71.875 (74.676)
Epoch: [36][9880/14090]	Time 0.736 (0.772)	Data 0.001 (0.001)	Loss 2.0823 (2.2285)	Prec@1 50.000 (44.056)	Prec@5 75.781 (74.677)
Epoch: [36][9890/14090]	Time 0.772 (0.772)	Data 0.001 (0.001)	Loss 2.1458 (2.2285)	Prec@1 40.625 (44.055)	Prec@5 73.438 (74.676)
Epoch: [36][9900/14090]	Time 0.755 (0.772)	Data 0.001 (0.001)	Loss 2.1152 (2.2285)	Prec@1 45.312 (44.056)	Prec@5 77.344 (74.676)
Epoch: [36][9910/14090]	Time 0.738 (0.772)	Data 0.001 (0.001)	Loss 2.3611 (2.2285)	Prec@1 39.062 (44.057)	Prec@5 77.344 (74.676)
Epoch: [36][9920/14090]	Time 0.759 (0.772)	Data 0.001 (0.001)	Loss 2.2393 (2.2285)	Prec@1 43.750 (44.057)	Prec@5 73.438 (74.676)
Epoch: [36][9930/14090]	Time 0.763 (0.772)	Data 0.001 (0.001)	Loss 2.0211 (2.2285)	Prec@1 46.094 (44.058)	Prec@5 81.250 (74.676)
Epoch: [36][9940/14090]	Time 0.865 (0.772)	Data 0.001 (0.001)	Loss 2.2987 (2.2285)	Prec@1 46.094 (44.060)	Prec@5 73.438 (74.676)
Epoch: [36][9950/14090]	Time 0.733 (0.772)	Data 0.001 (0.001)	Loss 2.3323 (2.2285)	Prec@1 33.594 (44.059)	Prec@5 69.531 (74.675)
Epoch: [36][9960/14090]	Time 0.749 (0.772)	Data 0.001 (0.001)	Loss 2.2564 (2.2286)	Prec@1 42.188 (44.057)	Prec@5 72.656 (74.673)
Epoch: [36][9970/14090]	Time 0.753 (0.772)	Data 0.001 (0.001)	Loss 2.2718 (2.2286)	Prec@1 40.625 (44.055)	Prec@5 77.344 (74.673)
Epoch: [36][9980/14090]	Time 0.764 (0.772)	Data 0.001 (0.001)	Loss 2.3999 (2.2287)	Prec@1 29.688 (44.053)	Prec@5 69.531 (74.672)
Epoch: [36][9990/14090]	Time 0.767 (0.772)	Data 0.001 (0.001)	Loss 2.2227 (2.2287)	Prec@1 43.750 (44.054)	Prec@5 75.781 (74.672)
Epoch: [36][10000/14090]	Time 0.742 (0.772)	Data 0.001 (0.001)	Loss 2.0959 (2.2287)	Prec@1 46.875 (44.052)	Prec@5 79.688 (74.671)
Epoch: [36][10010/14090]	Time 0.872 (0.772)	Data 0.001 (0.001)	Loss 2.2736 (2.2288)	Prec@1 45.312 (44.049)	Prec@5 71.094 (74.668)
Epoch: [36][10020/14090]	Time 0.755 (0.772)	Data 0.001 (0.001)	Loss 2.3940 (2.2290)	Prec@1 36.719 (44.046)	Prec@5 74.219 (74.665)
Epoch: [36][10030/14090]	Time 0.740 (0.772)	Data 0.001 (0.001)	Loss 2.1188 (2.2289)	Prec@1 47.656 (44.046)	Prec@5 79.688 (74.667)
Epoch: [36][10040/14090]	Time 0.739 (0.772)	Data 0.001 (0.001)	Loss 2.1439 (2.2289)	Prec@1 43.750 (44.046)	Prec@5 78.125 (74.667)
Epoch: [36][10050/14090]	Time 0.762 (0.772)	Data 0.001 (0.001)	Loss 2.2749 (2.2289)	Prec@1 44.531 (44.048)	Prec@5 75.000 (74.668)
Epoch: [36][10060/14090]	Time 0.764 (0.772)	Data 0.001 (0.001)	Loss 2.1792 (2.2290)	Prec@1 39.844 (44.046)	Prec@5 75.000 (74.669)
Epoch: [36][10070/14090]	Time 0.737 (0.772)	Data 0.001 (0.001)	Loss 2.0832 (2.2290)	Prec@1 46.875 (44.046)	Prec@5 76.562 (74.669)
Epoch: [36][10080/14090]	Time 1.051 (0.772)	Data 0.001 (0.001)	Loss 2.4436 (2.2290)	Prec@1 43.750 (44.047)	Prec@5 71.094 (74.670)
Epoch: [36][10090/14090]	Time 0.736 (0.772)	Data 0.001 (0.001)	Loss 2.2513 (2.2291)	Prec@1 48.438 (44.045)	Prec@5 70.312 (74.667)
Epoch: [36][10100/14090]	Time 0.753 (0.772)	Data 0.001 (0.001)	Loss 2.3547 (2.2291)	Prec@1 45.312 (44.046)	Prec@5 74.219 (74.667)
Epoch: [36][10110/14090]	Time 0.778 (0.772)	Data 0.001 (0.001)	Loss 2.3857 (2.2291)	Prec@1 38.281 (44.047)	Prec@5 71.875 (74.670)
Epoch: [36][10120/14090]	Time 0.757 (0.772)	Data 0.001 (0.001)	Loss 2.3297 (2.2291)	Prec@1 46.094 (44.047)	Prec@5 71.875 (74.669)
Epoch: [36][10130/14090]	Time 0.759 (0.772)	Data 0.001 (0.001)	Loss 2.3089 (2.2292)	Prec@1 37.500 (44.045)	Prec@5 72.656 (74.669)
Epoch: [36][10140/14090]	Time 0.758 (0.772)	Data 0.001 (0.001)	Loss 2.3570 (2.2292)	Prec@1 41.406 (44.045)	Prec@5 71.094 (74.667)
Epoch: [36][10150/14090]	Time 0.865 (0.772)	Data 0.001 (0.001)	Loss 2.4196 (2.2292)	Prec@1 39.062 (44.044)	Prec@5 71.094 (74.668)
Epoch: [36][10160/14090]	Time 0.756 (0.772)	Data 0.001 (0.001)	Loss 2.2169 (2.2292)	Prec@1 45.312 (44.044)	Prec@5 71.094 (74.669)
Epoch: [36][10170/14090]	Time 0.759 (0.772)	Data 0.001 (0.001)	Loss 1.9133 (2.2292)	Prec@1 46.875 (44.042)	Prec@5 78.906 (74.668)
Epoch: [36][10180/14090]	Time 0.758 (0.772)	Data 0.001 (0.001)	Loss 2.1207 (2.2292)	Prec@1 40.625 (44.041)	Prec@5 78.125 (74.667)
Epoch: [36][10190/14090]	Time 0.736 (0.772)	Data 0.001 (0.001)	Loss 2.2268 (2.2292)	Prec@1 46.875 (44.042)	Prec@5 74.219 (74.667)
Epoch: [36][10200/14090]	Time 0.760 (0.772)	Data 0.001 (0.001)	Loss 2.1326 (2.2291)	Prec@1 51.562 (44.044)	Prec@5 75.000 (74.669)
Epoch: [36][10210/14090]	Time 0.790 (0.772)	Data 0.001 (0.001)	Loss 2.4405 (2.2291)	Prec@1 43.750 (44.045)	Prec@5 71.094 (74.671)
Epoch: [36][10220/14090]	Time 0.865 (0.772)	Data 0.002 (0.001)	Loss 2.3073 (2.2292)	Prec@1 41.406 (44.043)	Prec@5 72.656 (74.669)
Epoch: [36][10230/14090]	Time 0.740 (0.772)	Data 0.001 (0.001)	Loss 2.2644 (2.2293)	Prec@1 47.656 (44.042)	Prec@5 72.656 (74.669)
Epoch: [36][10240/14090]	Time 0.765 (0.772)	Data 0.001 (0.001)	Loss 2.4809 (2.2293)	Prec@1 38.281 (44.042)	Prec@5 66.406 (74.669)
Epoch: [36][10250/14090]	Time 0.745 (0.772)	Data 0.001 (0.001)	Loss 2.0983 (2.2292)	Prec@1 49.219 (44.042)	Prec@5 76.562 (74.670)
Epoch: [36][10260/14090]	Time 0.726 (0.772)	Data 0.001 (0.001)	Loss 2.3379 (2.2293)	Prec@1 39.062 (44.042)	Prec@5 71.094 (74.669)
Epoch: [36][10270/14090]	Time 0.768 (0.772)	Data 0.001 (0.001)	Loss 1.8641 (2.2293)	Prec@1 50.781 (44.043)	Prec@5 79.688 (74.668)
Epoch: [36][10280/14090]	Time 0.730 (0.772)	Data 0.001 (0.001)	Loss 2.3298 (2.2293)	Prec@1 44.531 (44.042)	Prec@5 75.000 (74.667)
Epoch: [36][10290/14090]	Time 0.895 (0.772)	Data 0.001 (0.001)	Loss 2.1433 (2.2293)	Prec@1 45.312 (44.042)	Prec@5 78.906 (74.667)
Epoch: [36][10300/14090]	Time 0.754 (0.772)	Data 0.001 (0.001)	Loss 2.3608 (2.2294)	Prec@1 46.094 (44.039)	Prec@5 76.562 (74.667)
Epoch: [36][10310/14090]	Time 0.759 (0.772)	Data 0.001 (0.001)	Loss 2.3404 (2.2294)	Prec@1 38.281 (44.037)	Prec@5 74.219 (74.666)
Epoch: [36][10320/14090]	Time 0.745 (0.772)	Data 0.001 (0.001)	Loss 1.9548 (2.2293)	Prec@1 48.438 (44.038)	Prec@5 77.344 (74.668)
Epoch: [36][10330/14090]	Time 0.777 (0.772)	Data 0.001 (0.001)	Loss 2.3267 (2.2293)	Prec@1 36.719 (44.038)	Prec@5 72.656 (74.669)
Epoch: [36][10340/14090]	Time 0.762 (0.772)	Data 0.001 (0.001)	Loss 2.3346 (2.2294)	Prec@1 42.969 (44.037)	Prec@5 71.875 (74.668)
Epoch: [36][10350/14090]	Time 0.745 (0.772)	Data 0.001 (0.001)	Loss 2.3090 (2.2294)	Prec@1 42.969 (44.037)	Prec@5 71.094 (74.668)
Epoch: [36][10360/14090]	Time 1.032 (0.772)	Data 0.002 (0.001)	Loss 2.3905 (2.2294)	Prec@1 38.281 (44.036)	Prec@5 73.438 (74.666)
Epoch: [36][10370/14090]	Time 0.728 (0.772)	Data 0.001 (0.001)	Loss 2.1076 (2.2294)	Prec@1 41.406 (44.035)	Prec@5 73.438 (74.666)
Epoch: [36][10380/14090]	Time 0.782 (0.772)	Data 0.001 (0.001)	Loss 2.1266 (2.2295)	Prec@1 46.875 (44.034)	Prec@5 76.562 (74.665)
Epoch: [36][10390/14090]	Time 0.731 (0.772)	Data 0.001 (0.001)	Loss 2.2273 (2.2294)	Prec@1 42.969 (44.036)	Prec@5 75.781 (74.667)
Epoch: [36][10400/14090]	Time 0.779 (0.772)	Data 0.001 (0.001)	Loss 2.5740 (2.2294)	Prec@1 32.812 (44.035)	Prec@5 66.406 (74.668)
Epoch: [36][10410/14090]	Time 0.760 (0.772)	Data 0.001 (0.001)	Loss 2.4397 (2.2295)	Prec@1 44.531 (44.036)	Prec@5 70.312 (74.667)
Epoch: [36][10420/14090]	Time 0.761 (0.772)	Data 0.001 (0.001)	Loss 2.3621 (2.2295)	Prec@1 40.625 (44.037)	Prec@5 71.875 (74.666)
Epoch: [36][10430/14090]	Time 0.821 (0.772)	Data 0.001 (0.001)	Loss 2.1952 (2.2296)	Prec@1 46.094 (44.037)	Prec@5 73.438 (74.665)
Epoch: [36][10440/14090]	Time 0.752 (0.772)	Data 0.001 (0.001)	Loss 2.2535 (2.2295)	Prec@1 45.312 (44.040)	Prec@5 74.219 (74.666)
Epoch: [36][10450/14090]	Time 0.757 (0.772)	Data 0.001 (0.001)	Loss 2.1211 (2.2295)	Prec@1 42.188 (44.041)	Prec@5 75.781 (74.666)
Epoch: [36][10460/14090]	Time 0.747 (0.772)	Data 0.001 (0.001)	Loss 2.2010 (2.2294)	Prec@1 50.000 (44.044)	Prec@5 78.125 (74.669)
Epoch: [36][10470/14090]	Time 0.744 (0.772)	Data 0.001 (0.001)	Loss 2.2120 (2.2294)	Prec@1 46.875 (44.044)	Prec@5 75.781 (74.669)
Epoch: [36][10480/14090]	Time 0.756 (0.772)	Data 0.001 (0.001)	Loss 2.1431 (2.2294)	Prec@1 50.000 (44.046)	Prec@5 77.344 (74.670)
Epoch: [36][10490/14090]	Time 0.742 (0.772)	Data 0.001 (0.001)	Loss 2.4500 (2.2294)	Prec@1 41.406 (44.047)	Prec@5 75.000 (74.669)
Epoch: [36][10500/14090]	Time 0.865 (0.772)	Data 0.001 (0.001)	Loss 2.2651 (2.2294)	Prec@1 42.188 (44.046)	Prec@5 73.438 (74.670)
Epoch: [36][10510/14090]	Time 0.769 (0.772)	Data 0.001 (0.001)	Loss 2.1824 (2.2294)	Prec@1 42.188 (44.047)	Prec@5 76.562 (74.671)
Epoch: [36][10520/14090]	Time 0.760 (0.772)	Data 0.002 (0.001)	Loss 2.2556 (2.2294)	Prec@1 38.281 (44.046)	Prec@5 75.000 (74.672)
Epoch: [36][10530/14090]	Time 0.740 (0.772)	Data 0.001 (0.001)	Loss 2.5942 (2.2295)	Prec@1 40.625 (44.043)	Prec@5 67.969 (74.670)
Epoch: [36][10540/14090]	Time 0.760 (0.772)	Data 0.001 (0.001)	Loss 2.2207 (2.2295)	Prec@1 39.062 (44.041)	Prec@5 74.219 (74.669)
Epoch: [36][10550/14090]	Time 0.735 (0.772)	Data 0.001 (0.001)	Loss 2.4289 (2.2296)	Prec@1 43.750 (44.039)	Prec@5 73.438 (74.667)
Epoch: [36][10560/14090]	Time 0.789 (0.772)	Data 0.001 (0.001)	Loss 2.1804 (2.2296)	Prec@1 42.188 (44.038)	Prec@5 72.656 (74.666)
Epoch: [36][10570/14090]	Time 0.898 (0.772)	Data 0.001 (0.001)	Loss 2.0936 (2.2297)	Prec@1 50.000 (44.037)	Prec@5 77.344 (74.665)
Epoch: [36][10580/14090]	Time 0.755 (0.772)	Data 0.001 (0.001)	Loss 2.3553 (2.2297)	Prec@1 42.188 (44.036)	Prec@5 70.312 (74.664)
Epoch: [36][10590/14090]	Time 0.759 (0.772)	Data 0.001 (0.001)	Loss 2.1673 (2.2297)	Prec@1 50.000 (44.037)	Prec@5 78.125 (74.664)
Epoch: [36][10600/14090]	Time 0.777 (0.772)	Data 0.001 (0.001)	Loss 2.2171 (2.2298)	Prec@1 45.312 (44.038)	Prec@5 71.875 (74.663)
Epoch: [36][10610/14090]	Time 0.741 (0.772)	Data 0.001 (0.001)	Loss 2.0422 (2.2298)	Prec@1 46.094 (44.036)	Prec@5 80.469 (74.663)
Epoch: [36][10620/14090]	Time 0.737 (0.772)	Data 0.001 (0.001)	Loss 2.5132 (2.2299)	Prec@1 35.938 (44.032)	Prec@5 71.875 (74.661)
Epoch: [36][10630/14090]	Time 0.754 (0.772)	Data 0.001 (0.001)	Loss 2.1170 (2.2299)	Prec@1 48.438 (44.033)	Prec@5 75.000 (74.661)
Epoch: [36][10640/14090]	Time 0.874 (0.772)	Data 0.001 (0.001)	Loss 2.0514 (2.2299)	Prec@1 48.438 (44.035)	Prec@5 78.125 (74.663)
Epoch: [36][10650/14090]	Time 0.744 (0.772)	Data 0.001 (0.001)	Loss 2.1603 (2.2299)	Prec@1 41.406 (44.033)	Prec@5 77.344 (74.663)
Epoch: [36][10660/14090]	Time 0.787 (0.772)	Data 0.001 (0.001)	Loss 2.0613 (2.2299)	Prec@1 48.438 (44.033)	Prec@5 78.906 (74.663)
Epoch: [36][10670/14090]	Time 0.773 (0.772)	Data 0.001 (0.001)	Loss 2.4043 (2.2300)	Prec@1 36.719 (44.032)	Prec@5 71.875 (74.662)
Epoch: [36][10680/14090]	Time 0.725 (0.772)	Data 0.001 (0.001)	Loss 2.1972 (2.2299)	Prec@1 46.875 (44.033)	Prec@5 75.000 (74.662)
Epoch: [36][10690/14090]	Time 0.748 (0.772)	Data 0.001 (0.001)	Loss 2.1106 (2.2299)	Prec@1 45.312 (44.033)	Prec@5 74.219 (74.662)
Epoch: [36][10700/14090]	Time 0.741 (0.772)	Data 0.001 (0.001)	Loss 2.0961 (2.2299)	Prec@1 39.844 (44.034)	Prec@5 78.906 (74.663)
Epoch: [36][10710/14090]	Time 0.870 (0.772)	Data 0.001 (0.001)	Loss 2.1097 (2.2299)	Prec@1 42.188 (44.033)	Prec@5 76.562 (74.661)
Epoch: [36][10720/14090]	Time 0.751 (0.771)	Data 0.001 (0.001)	Loss 2.0826 (2.2300)	Prec@1 49.219 (44.032)	Prec@5 76.562 (74.659)
Epoch: [36][10730/14090]	Time 0.759 (0.771)	Data 0.001 (0.001)	Loss 2.4281 (2.2300)	Prec@1 40.625 (44.032)	Prec@5 71.875 (74.660)
Epoch: [36][10740/14090]	Time 0.734 (0.772)	Data 0.001 (0.001)	Loss 2.4354 (2.2300)	Prec@1 39.844 (44.031)	Prec@5 72.656 (74.661)
Epoch: [36][10750/14090]	Time 0.758 (0.772)	Data 0.001 (0.001)	Loss 2.2229 (2.2300)	Prec@1 41.406 (44.031)	Prec@5 75.781 (74.661)
Epoch: [36][10760/14090]	Time 0.746 (0.772)	Data 0.001 (0.001)	Loss 2.2792 (2.2300)	Prec@1 45.312 (44.027)	Prec@5 72.656 (74.661)
Epoch: [36][10770/14090]	Time 0.764 (0.772)	Data 0.001 (0.001)	Loss 2.0794 (2.2301)	Prec@1 46.875 (44.026)	Prec@5 77.344 (74.662)
Epoch: [36][10780/14090]	Time 0.840 (0.772)	Data 0.001 (0.001)	Loss 2.1667 (2.2301)	Prec@1 49.219 (44.028)	Prec@5 72.656 (74.659)
Epoch: [36][10790/14090]	Time 0.729 (0.771)	Data 0.001 (0.001)	Loss 2.2957 (2.2302)	Prec@1 46.875 (44.026)	Prec@5 75.000 (74.658)
Epoch: [36][10800/14090]	Time 0.742 (0.771)	Data 0.001 (0.001)	Loss 2.1258 (2.2301)	Prec@1 43.750 (44.024)	Prec@5 76.562 (74.658)
Epoch: [36][10810/14090]	Time 0.753 (0.772)	Data 0.001 (0.001)	Loss 2.1219 (2.2302)	Prec@1 50.781 (44.025)	Prec@5 76.562 (74.658)
Epoch: [36][10820/14090]	Time 0.730 (0.771)	Data 0.001 (0.001)	Loss 2.2443 (2.2302)	Prec@1 42.969 (44.024)	Prec@5 77.344 (74.656)
Epoch: [36][10830/14090]	Time 0.757 (0.771)	Data 0.001 (0.001)	Loss 2.3071 (2.2303)	Prec@1 37.500 (44.024)	Prec@5 75.000 (74.654)
Epoch: [36][10840/14090]	Time 0.770 (0.771)	Data 0.001 (0.001)	Loss 2.0611 (2.2303)	Prec@1 49.219 (44.025)	Prec@5 74.219 (74.655)
Epoch: [36][10850/14090]	Time 0.889 (0.772)	Data 0.001 (0.001)	Loss 2.3462 (2.2303)	Prec@1 46.094 (44.024)	Prec@5 71.875 (74.653)
Epoch: [36][10860/14090]	Time 0.790 (0.771)	Data 0.001 (0.001)	Loss 2.5976 (2.2303)	Prec@1 35.156 (44.024)	Prec@5 64.844 (74.653)
Epoch: [36][10870/14090]	Time 0.728 (0.771)	Data 0.001 (0.001)	Loss 2.0224 (2.2302)	Prec@1 52.344 (44.024)	Prec@5 75.000 (74.654)
Epoch: [36][10880/14090]	Time 0.746 (0.771)	Data 0.001 (0.001)	Loss 2.3149 (2.2303)	Prec@1 42.188 (44.022)	Prec@5 73.438 (74.653)
Epoch: [36][10890/14090]	Time 0.761 (0.771)	Data 0.001 (0.001)	Loss 1.7633 (2.2303)	Prec@1 54.688 (44.022)	Prec@5 82.031 (74.654)
Epoch: [36][10900/14090]	Time 0.751 (0.771)	Data 0.001 (0.001)	Loss 2.0875 (2.2302)	Prec@1 46.875 (44.024)	Prec@5 76.562 (74.656)
Epoch: [36][10910/14090]	Time 0.750 (0.771)	Data 0.001 (0.001)	Loss 2.4997 (2.2303)	Prec@1 36.719 (44.022)	Prec@5 73.438 (74.656)
Epoch: [36][10920/14090]	Time 0.869 (0.771)	Data 0.001 (0.001)	Loss 2.1168 (2.2302)	Prec@1 48.438 (44.024)	Prec@5 75.000 (74.655)
Epoch: [36][10930/14090]	Time 0.781 (0.771)	Data 0.001 (0.001)	Loss 2.1911 (2.2302)	Prec@1 46.094 (44.025)	Prec@5 75.000 (74.656)
Epoch: [36][10940/14090]	Time 0.739 (0.771)	Data 0.001 (0.001)	Loss 2.6086 (2.2303)	Prec@1 30.469 (44.023)	Prec@5 64.844 (74.652)
Epoch: [36][10950/14090]	Time 0.765 (0.771)	Data 0.001 (0.001)	Loss 2.1036 (2.2304)	Prec@1 46.875 (44.024)	Prec@5 75.000 (74.651)
Epoch: [36][10960/14090]	Time 0.742 (0.771)	Data 0.001 (0.001)	Loss 2.0554 (2.2304)	Prec@1 46.875 (44.022)	Prec@5 78.906 (74.651)
Epoch: [36][10970/14090]	Time 0.754 (0.771)	Data 0.001 (0.001)	Loss 1.9399 (2.2303)	Prec@1 49.219 (44.023)	Prec@5 78.906 (74.652)
Epoch: [36][10980/14090]	Time 0.729 (0.771)	Data 0.001 (0.001)	Loss 1.8573 (2.2304)	Prec@1 51.562 (44.023)	Prec@5 80.469 (74.651)
Epoch: [36][10990/14090]	Time 0.849 (0.771)	Data 0.001 (0.001)	Loss 2.3517 (2.2304)	Prec@1 44.531 (44.024)	Prec@5 74.219 (74.652)
Epoch: [36][11000/14090]	Time 0.747 (0.771)	Data 0.001 (0.001)	Loss 2.3104 (2.2304)	Prec@1 42.188 (44.025)	Prec@5 72.656 (74.652)
Epoch: [36][11010/14090]	Time 0.761 (0.771)	Data 0.001 (0.001)	Loss 2.1988 (2.2304)	Prec@1 42.188 (44.024)	Prec@5 76.562 (74.652)
Epoch: [36][11020/14090]	Time 0.750 (0.771)	Data 0.001 (0.001)	Loss 2.2463 (2.2304)	Prec@1 42.969 (44.025)	Prec@5 76.562 (74.651)
Epoch: [36][11030/14090]	Time 0.733 (0.771)	Data 0.001 (0.001)	Loss 2.2967 (2.2303)	Prec@1 47.656 (44.026)	Prec@5 72.656 (74.653)
Epoch: [36][11040/14090]	Time 0.749 (0.771)	Data 0.001 (0.001)	Loss 2.0768 (2.2303)	Prec@1 46.094 (44.028)	Prec@5 79.688 (74.655)
Epoch: [36][11050/14090]	Time 0.731 (0.771)	Data 0.001 (0.001)	Loss 2.0954 (2.2302)	Prec@1 45.312 (44.030)	Prec@5 75.000 (74.654)
Epoch: [36][11060/14090]	Time 0.892 (0.771)	Data 0.001 (0.001)	Loss 2.1955 (2.2302)	Prec@1 41.406 (44.030)	Prec@5 73.438 (74.655)
Epoch: [36][11070/14090]	Time 0.755 (0.771)	Data 0.001 (0.001)	Loss 2.4105 (2.2302)	Prec@1 49.219 (44.029)	Prec@5 74.219 (74.656)
Epoch: [36][11080/14090]	Time 0.765 (0.771)	Data 0.001 (0.001)	Loss 2.2082 (2.2302)	Prec@1 43.750 (44.028)	Prec@5 78.906 (74.657)
Epoch: [36][11090/14090]	Time 0.751 (0.771)	Data 0.001 (0.001)	Loss 2.3467 (2.2302)	Prec@1 41.406 (44.029)	Prec@5 71.094 (74.657)
Epoch: [36][11100/14090]	Time 0.756 (0.771)	Data 0.001 (0.001)	Loss 2.4057 (2.2301)	Prec@1 35.938 (44.029)	Prec@5 69.531 (74.659)
Epoch: [36][11110/14090]	Time 0.725 (0.771)	Data 0.001 (0.001)	Loss 2.2032 (2.2302)	Prec@1 42.969 (44.028)	Prec@5 76.562 (74.659)
Epoch: [36][11120/14090]	Time 0.754 (0.771)	Data 0.001 (0.001)	Loss 2.1533 (2.2302)	Prec@1 42.969 (44.027)	Prec@5 79.688 (74.659)
Epoch: [36][11130/14090]	Time 0.874 (0.771)	Data 0.001 (0.001)	Loss 2.4952 (2.2302)	Prec@1 37.500 (44.027)	Prec@5 70.312 (74.660)
Epoch: [36][11140/14090]	Time 0.742 (0.771)	Data 0.001 (0.001)	Loss 2.3368 (2.2302)	Prec@1 44.531 (44.028)	Prec@5 71.875 (74.659)
Epoch: [36][11150/14090]	Time 0.762 (0.771)	Data 0.001 (0.001)	Loss 2.1105 (2.2301)	Prec@1 49.219 (44.029)	Prec@5 76.562 (74.662)
Epoch: [36][11160/14090]	Time 0.780 (0.771)	Data 0.001 (0.001)	Loss 2.3995 (2.2301)	Prec@1 41.406 (44.028)	Prec@5 71.094 (74.662)
Epoch: [36][11170/14090]	Time 0.756 (0.771)	Data 0.001 (0.001)	Loss 2.4829 (2.2302)	Prec@1 42.188 (44.026)	Prec@5 68.750 (74.660)
Epoch: [36][11180/14090]	Time 0.757 (0.771)	Data 0.001 (0.001)	Loss 2.2105 (2.2301)	Prec@1 47.656 (44.028)	Prec@5 72.656 (74.661)
Epoch: [36][11190/14090]	Time 0.770 (0.771)	Data 0.001 (0.001)	Loss 1.8318 (2.2301)	Prec@1 50.000 (44.025)	Prec@5 79.688 (74.660)
Epoch: [36][11200/14090]	Time 0.881 (0.771)	Data 0.001 (0.001)	Loss 2.0788 (2.2301)	Prec@1 48.438 (44.028)	Prec@5 79.688 (74.661)
Epoch: [36][11210/14090]	Time 0.736 (0.771)	Data 0.001 (0.001)	Loss 2.1404 (2.2301)	Prec@1 49.219 (44.027)	Prec@5 75.781 (74.660)
Epoch: [36][11220/14090]	Time 0.766 (0.771)	Data 0.001 (0.001)	Loss 2.1834 (2.2301)	Prec@1 39.062 (44.026)	Prec@5 72.656 (74.662)
Epoch: [36][11230/14090]	Time 0.744 (0.771)	Data 0.001 (0.001)	Loss 2.3860 (2.2302)	Prec@1 39.062 (44.026)	Prec@5 74.219 (74.661)
Epoch: [36][11240/14090]	Time 0.750 (0.771)	Data 0.001 (0.001)	Loss 2.2795 (2.2302)	Prec@1 45.312 (44.026)	Prec@5 74.219 (74.660)
Epoch: [36][11250/14090]	Time 0.745 (0.771)	Data 0.001 (0.001)	Loss 2.1826 (2.2302)	Prec@1 47.656 (44.026)	Prec@5 71.094 (74.660)
Epoch: [36][11260/14090]	Time 0.776 (0.771)	Data 0.001 (0.001)	Loss 2.4137 (2.2303)	Prec@1 41.406 (44.025)	Prec@5 67.969 (74.659)
Epoch: [36][11270/14090]	Time 0.870 (0.771)	Data 0.001 (0.001)	Loss 2.0285 (2.2303)	Prec@1 46.875 (44.026)	Prec@5 79.688 (74.659)
Epoch: [36][11280/14090]	Time 0.731 (0.771)	Data 0.001 (0.001)	Loss 2.2571 (2.2303)	Prec@1 44.531 (44.025)	Prec@5 72.656 (74.657)
Epoch: [36][11290/14090]	Time 0.748 (0.771)	Data 0.001 (0.001)	Loss 2.0578 (2.2302)	Prec@1 49.219 (44.025)	Prec@5 77.344 (74.658)
Epoch: [36][11300/14090]	Time 0.745 (0.771)	Data 0.001 (0.001)	Loss 2.0879 (2.2302)	Prec@1 45.312 (44.026)	Prec@5 77.344 (74.656)
Epoch: [36][11310/14090]	Time 0.749 (0.771)	Data 0.001 (0.001)	Loss 2.1021 (2.2302)	Prec@1 46.094 (44.027)	Prec@5 75.781 (74.657)
Epoch: [36][11320/14090]	Time 0.757 (0.771)	Data 0.001 (0.001)	Loss 2.1034 (2.2302)	Prec@1 44.531 (44.026)	Prec@5 75.781 (74.657)
Epoch: [36][11330/14090]	Time 0.759 (0.771)	Data 0.004 (0.001)	Loss 2.0148 (2.2301)	Prec@1 41.406 (44.026)	Prec@5 77.344 (74.658)
Epoch: [36][11340/14090]	Time 0.861 (0.771)	Data 0.001 (0.001)	Loss 2.0719 (2.2301)	Prec@1 47.656 (44.026)	Prec@5 75.000 (74.658)
Epoch: [36][11350/14090]	Time 0.751 (0.771)	Data 0.001 (0.001)	Loss 2.0779 (2.2301)	Prec@1 46.094 (44.027)	Prec@5 78.906 (74.659)
Epoch: [36][11360/14090]	Time 0.738 (0.771)	Data 0.001 (0.001)	Loss 2.4109 (2.2301)	Prec@1 41.406 (44.027)	Prec@5 71.094 (74.659)
Epoch: [36][11370/14090]	Time 0.812 (0.771)	Data 0.001 (0.001)	Loss 2.0092 (2.2301)	Prec@1 46.875 (44.028)	Prec@5 78.125 (74.660)
Epoch: [36][11380/14090]	Time 0.779 (0.771)	Data 0.001 (0.001)	Loss 2.2239 (2.2301)	Prec@1 39.844 (44.027)	Prec@5 70.312 (74.659)
Epoch: [36][11390/14090]	Time 0.772 (0.771)	Data 0.001 (0.001)	Loss 2.0550 (2.2301)	Prec@1 45.312 (44.027)	Prec@5 76.562 (74.659)
Epoch: [36][11400/14090]	Time 0.769 (0.771)	Data 0.001 (0.001)	Loss 2.2147 (2.2301)	Prec@1 50.781 (44.026)	Prec@5 76.562 (74.660)
Epoch: [36][11410/14090]	Time 0.883 (0.771)	Data 0.001 (0.001)	Loss 2.4059 (2.2301)	Prec@1 39.062 (44.026)	Prec@5 73.438 (74.660)
Epoch: [36][11420/14090]	Time 0.745 (0.771)	Data 0.001 (0.001)	Loss 2.0192 (2.2301)	Prec@1 44.531 (44.025)	Prec@5 78.125 (74.659)
Epoch: [36][11430/14090]	Time 0.741 (0.771)	Data 0.001 (0.001)	Loss 2.6392 (2.2302)	Prec@1 38.281 (44.024)	Prec@5 67.969 (74.659)
Epoch: [36][11440/14090]	Time 0.739 (0.771)	Data 0.001 (0.001)	Loss 2.3656 (2.2302)	Prec@1 40.625 (44.023)	Prec@5 72.656 (74.657)
Epoch: [36][11450/14090]	Time 0.767 (0.771)	Data 0.003 (0.001)	Loss 2.6348 (2.2302)	Prec@1 37.500 (44.024)	Prec@5 66.406 (74.658)
Epoch: [36][11460/14090]	Time 0.755 (0.771)	Data 0.001 (0.001)	Loss 2.3898 (2.2303)	Prec@1 41.406 (44.023)	Prec@5 71.875 (74.656)
Epoch: [36][11470/14090]	Time 0.728 (0.771)	Data 0.001 (0.001)	Loss 2.4227 (2.2303)	Prec@1 42.188 (44.024)	Prec@5 73.438 (74.657)
Epoch: [36][11480/14090]	Time 0.850 (0.771)	Data 0.001 (0.001)	Loss 2.2146 (2.2303)	Prec@1 41.406 (44.022)	Prec@5 78.125 (74.656)
Epoch: [36][11490/14090]	Time 0.728 (0.771)	Data 0.001 (0.001)	Loss 2.3469 (2.2303)	Prec@1 37.500 (44.021)	Prec@5 76.562 (74.658)
Epoch: [36][11500/14090]	Time 0.732 (0.771)	Data 0.001 (0.001)	Loss 2.3682 (2.2304)	Prec@1 36.719 (44.019)	Prec@5 71.875 (74.657)
Epoch: [36][11510/14090]	Time 0.768 (0.771)	Data 0.001 (0.001)	Loss 1.7960 (2.2303)	Prec@1 49.219 (44.020)	Prec@5 82.812 (74.660)
Epoch: [36][11520/14090]	Time 0.775 (0.771)	Data 0.001 (0.001)	Loss 2.3650 (2.2303)	Prec@1 40.625 (44.019)	Prec@5 75.000 (74.659)
Epoch: [36][11530/14090]	Time 0.768 (0.771)	Data 0.001 (0.001)	Loss 2.1972 (2.2303)	Prec@1 42.969 (44.019)	Prec@5 74.219 (74.658)
Epoch: [36][11540/14090]	Time 0.726 (0.771)	Data 0.001 (0.001)	Loss 2.3357 (2.2303)	Prec@1 36.719 (44.019)	Prec@5 75.000 (74.658)
Epoch: [36][11550/14090]	Time 0.851 (0.771)	Data 0.001 (0.001)	Loss 2.3081 (2.2303)	Prec@1 48.438 (44.019)	Prec@5 76.562 (74.659)
Epoch: [36][11560/14090]	Time 0.735 (0.771)	Data 0.001 (0.001)	Loss 2.2155 (2.2304)	Prec@1 39.844 (44.017)	Prec@5 71.094 (74.657)
Epoch: [36][11570/14090]	Time 0.727 (0.771)	Data 0.001 (0.001)	Loss 2.3538 (2.2305)	Prec@1 41.406 (44.017)	Prec@5 79.688 (74.656)
Epoch: [36][11580/14090]	Time 0.753 (0.771)	Data 0.001 (0.001)	Loss 2.3374 (2.2305)	Prec@1 43.750 (44.016)	Prec@5 74.219 (74.656)
Epoch: [36][11590/14090]	Time 0.758 (0.771)	Data 0.001 (0.001)	Loss 2.2999 (2.2304)	Prec@1 35.938 (44.016)	Prec@5 74.219 (74.658)
Epoch: [36][11600/14090]	Time 0.741 (0.771)	Data 0.001 (0.001)	Loss 1.9611 (2.2304)	Prec@1 46.094 (44.017)	Prec@5 82.812 (74.658)
Epoch: [36][11610/14090]	Time 0.741 (0.771)	Data 0.001 (0.001)	Loss 2.1581 (2.2304)	Prec@1 46.094 (44.017)	Prec@5 73.438 (74.657)
Epoch: [36][11620/14090]	Time 0.874 (0.771)	Data 0.001 (0.001)	Loss 2.0379 (2.2304)	Prec@1 44.531 (44.016)	Prec@5 78.906 (74.657)
Epoch: [36][11630/14090]	Time 0.758 (0.771)	Data 0.001 (0.001)	Loss 2.2301 (2.2305)	Prec@1 41.406 (44.015)	Prec@5 75.781 (74.657)
Epoch: [36][11640/14090]	Time 0.760 (0.771)	Data 0.001 (0.001)	Loss 2.3803 (2.2305)	Prec@1 42.188 (44.015)	Prec@5 75.781 (74.657)
Epoch: [36][11650/14090]	Time 0.749 (0.771)	Data 0.001 (0.001)	Loss 2.1028 (2.2304)	Prec@1 47.656 (44.015)	Prec@5 75.000 (74.656)
Epoch: [36][11660/14090]	Time 0.733 (0.771)	Data 0.001 (0.001)	Loss 2.3369 (2.2305)	Prec@1 44.531 (44.015)	Prec@5 77.344 (74.657)
Epoch: [36][11670/14090]	Time 0.734 (0.771)	Data 0.001 (0.001)	Loss 2.5219 (2.2305)	Prec@1 36.719 (44.016)	Prec@5 69.531 (74.658)
Epoch: [36][11680/14090]	Time 0.750 (0.771)	Data 0.001 (0.001)	Loss 2.2846 (2.2305)	Prec@1 42.188 (44.015)	Prec@5 74.219 (74.659)
Epoch: [36][11690/14090]	Time 0.901 (0.771)	Data 0.001 (0.001)	Loss 2.4150 (2.2305)	Prec@1 40.625 (44.013)	Prec@5 67.188 (74.657)
Epoch: [36][11700/14090]	Time 0.786 (0.771)	Data 0.001 (0.001)	Loss 2.3448 (2.2305)	Prec@1 39.844 (44.013)	Prec@5 72.656 (74.657)
Epoch: [36][11710/14090]	Time 0.761 (0.771)	Data 0.001 (0.001)	Loss 2.1780 (2.2306)	Prec@1 45.312 (44.011)	Prec@5 74.219 (74.655)
Epoch: [36][11720/14090]	Time 0.726 (0.771)	Data 0.001 (0.001)	Loss 2.4645 (2.2307)	Prec@1 41.406 (44.008)	Prec@5 67.188 (74.652)
Epoch: [36][11730/14090]	Time 0.756 (0.771)	Data 0.001 (0.001)	Loss 2.3152 (2.2308)	Prec@1 41.406 (44.008)	Prec@5 70.312 (74.651)
Epoch: [36][11740/14090]	Time 0.761 (0.771)	Data 0.001 (0.001)	Loss 2.4039 (2.2307)	Prec@1 37.500 (44.008)	Prec@5 71.094 (74.650)
Epoch: [36][11750/14090]	Time 0.734 (0.771)	Data 0.001 (0.001)	Loss 2.0304 (2.2307)	Prec@1 46.875 (44.010)	Prec@5 78.125 (74.653)
Epoch: [36][11760/14090]	Time 0.874 (0.771)	Data 0.001 (0.001)	Loss 2.1981 (2.2307)	Prec@1 41.406 (44.011)	Prec@5 74.219 (74.652)
Epoch: [36][11770/14090]	Time 0.747 (0.771)	Data 0.001 (0.001)	Loss 2.1210 (2.2306)	Prec@1 49.219 (44.012)	Prec@5 77.344 (74.654)
Epoch: [36][11780/14090]	Time 0.747 (0.771)	Data 0.001 (0.001)	Loss 2.3198 (2.2306)	Prec@1 44.531 (44.011)	Prec@5 73.438 (74.653)
Epoch: [36][11790/14090]	Time 0.752 (0.771)	Data 0.001 (0.001)	Loss 2.2379 (2.2307)	Prec@1 45.312 (44.012)	Prec@5 73.438 (74.652)
Epoch: [36][11800/14090]	Time 0.760 (0.771)	Data 0.001 (0.001)	Loss 2.2929 (2.2307)	Prec@1 43.750 (44.011)	Prec@5 75.781 (74.652)
Epoch: [36][11810/14090]	Time 0.761 (0.771)	Data 0.004 (0.001)	Loss 2.2476 (2.2307)	Prec@1 45.312 (44.012)	Prec@5 76.562 (74.651)
Epoch: [36][11820/14090]	Time 0.722 (0.771)	Data 0.001 (0.001)	Loss 2.1780 (2.2307)	Prec@1 50.781 (44.013)	Prec@5 72.656 (74.651)
Epoch: [36][11830/14090]	Time 0.886 (0.771)	Data 0.001 (0.001)	Loss 2.0276 (2.2307)	Prec@1 44.531 (44.014)	Prec@5 82.812 (74.652)
Epoch: [36][11840/14090]	Time 0.766 (0.771)	Data 0.001 (0.001)	Loss 2.3405 (2.2307)	Prec@1 41.406 (44.015)	Prec@5 73.438 (74.651)
Epoch: [36][11850/14090]	Time 0.736 (0.771)	Data 0.001 (0.001)	Loss 1.8950 (2.2307)	Prec@1 50.781 (44.013)	Prec@5 88.281 (74.649)
Epoch: [36][11860/14090]	Time 0.753 (0.771)	Data 0.001 (0.001)	Loss 2.1089 (2.2307)	Prec@1 45.312 (44.014)	Prec@5 79.688 (74.650)
Epoch: [36][11870/14090]	Time 0.738 (0.771)	Data 0.001 (0.001)	Loss 2.1967 (2.2307)	Prec@1 45.312 (44.014)	Prec@5 74.219 (74.649)
Epoch: [36][11880/14090]	Time 0.733 (0.771)	Data 0.001 (0.001)	Loss 2.1331 (2.2307)	Prec@1 47.656 (44.013)	Prec@5 75.000 (74.649)
Epoch: [36][11890/14090]	Time 0.763 (0.771)	Data 0.001 (0.001)	Loss 2.0867 (2.2308)	Prec@1 46.094 (44.012)	Prec@5 78.906 (74.649)
Epoch: [36][11900/14090]	Time 0.868 (0.771)	Data 0.001 (0.001)	Loss 2.2172 (2.2308)	Prec@1 42.969 (44.013)	Prec@5 74.219 (74.649)
Epoch: [36][11910/14090]	Time 0.760 (0.771)	Data 0.001 (0.001)	Loss 2.4011 (2.2308)	Prec@1 43.750 (44.013)	Prec@5 72.656 (74.649)
Epoch: [36][11920/14090]	Time 0.746 (0.771)	Data 0.001 (0.001)	Loss 2.1021 (2.2308)	Prec@1 47.656 (44.012)	Prec@5 76.562 (74.649)
Epoch: [36][11930/14090]	Time 0.759 (0.771)	Data 0.001 (0.001)	Loss 1.9562 (2.2308)	Prec@1 47.656 (44.013)	Prec@5 80.469 (74.649)
Epoch: [36][11940/14090]	Time 0.765 (0.771)	Data 0.001 (0.001)	Loss 2.3758 (2.2308)	Prec@1 40.625 (44.012)	Prec@5 71.094 (74.647)
Epoch: [36][11950/14090]	Time 0.757 (0.771)	Data 0.002 (0.001)	Loss 2.2965 (2.2309)	Prec@1 39.062 (44.011)	Prec@5 72.656 (74.646)
Epoch: [36][11960/14090]	Time 0.745 (0.771)	Data 0.001 (0.001)	Loss 2.3584 (2.2309)	Prec@1 39.062 (44.011)	Prec@5 75.000 (74.646)
Epoch: [36][11970/14090]	Time 0.905 (0.771)	Data 0.001 (0.001)	Loss 2.1194 (2.2309)	Prec@1 44.531 (44.013)	Prec@5 79.688 (74.646)
Epoch: [36][11980/14090]	Time 0.748 (0.771)	Data 0.001 (0.001)	Loss 2.2335 (2.2309)	Prec@1 48.438 (44.014)	Prec@5 76.562 (74.647)
Epoch: [36][11990/14090]	Time 0.766 (0.771)	Data 0.001 (0.001)	Loss 2.5213 (2.2310)	Prec@1 39.062 (44.011)	Prec@5 69.531 (74.646)
Epoch: [36][12000/14090]	Time 0.756 (0.771)	Data 0.001 (0.001)	Loss 2.3459 (2.2310)	Prec@1 36.719 (44.011)	Prec@5 72.656 (74.646)
Epoch: [36][12010/14090]	Time 0.764 (0.771)	Data 0.001 (0.001)	Loss 2.3719 (2.2311)	Prec@1 40.625 (44.007)	Prec@5 73.438 (74.644)
Epoch: [36][12020/14090]	Time 0.741 (0.771)	Data 0.001 (0.001)	Loss 2.0302 (2.2310)	Prec@1 48.438 (44.008)	Prec@5 78.125 (74.644)
Epoch: [36][12030/14090]	Time 0.718 (0.771)	Data 0.001 (0.001)	Loss 2.2158 (2.2310)	Prec@1 41.406 (44.008)	Prec@5 75.000 (74.645)
Epoch: [36][12040/14090]	Time 0.928 (0.771)	Data 0.001 (0.001)	Loss 2.2542 (2.2310)	Prec@1 40.625 (44.008)	Prec@5 71.094 (74.644)
Epoch: [36][12050/14090]	Time 0.778 (0.771)	Data 0.001 (0.001)	Loss 2.3396 (2.2310)	Prec@1 40.625 (44.008)	Prec@5 70.312 (74.644)
Epoch: [36][12060/14090]	Time 0.744 (0.771)	Data 0.001 (0.001)	Loss 2.3385 (2.2310)	Prec@1 39.062 (44.009)	Prec@5 71.094 (74.643)
Epoch: [36][12070/14090]	Time 0.744 (0.771)	Data 0.001 (0.001)	Loss 2.1465 (2.2310)	Prec@1 47.656 (44.008)	Prec@5 78.125 (74.643)
Epoch: [36][12080/14090]	Time 0.764 (0.771)	Data 0.002 (0.001)	Loss 2.4416 (2.2309)	Prec@1 41.406 (44.009)	Prec@5 71.875 (74.644)
Epoch: [36][12090/14090]	Time 0.730 (0.771)	Data 0.001 (0.001)	Loss 2.4045 (2.2309)	Prec@1 42.188 (44.010)	Prec@5 73.438 (74.644)
Epoch: [36][12100/14090]	Time 0.772 (0.771)	Data 0.001 (0.001)	Loss 1.8367 (2.2309)	Prec@1 51.562 (44.011)	Prec@5 81.250 (74.646)
Epoch: [36][12110/14090]	Time 0.844 (0.771)	Data 0.001 (0.001)	Loss 2.3560 (2.2309)	Prec@1 41.406 (44.010)	Prec@5 71.094 (74.646)
Epoch: [36][12120/14090]	Time 0.765 (0.771)	Data 0.001 (0.001)	Loss 2.1884 (2.2309)	Prec@1 42.969 (44.010)	Prec@5 77.344 (74.645)
Epoch: [36][12130/14090]	Time 0.764 (0.771)	Data 0.001 (0.001)	Loss 2.2799 (2.2310)	Prec@1 47.656 (44.010)	Prec@5 73.438 (74.644)
Epoch: [36][12140/14090]	Time 0.739 (0.771)	Data 0.001 (0.001)	Loss 2.1252 (2.2310)	Prec@1 45.312 (44.009)	Prec@5 77.344 (74.644)
Epoch: [36][12150/14090]	Time 0.735 (0.771)	Data 0.001 (0.001)	Loss 2.4619 (2.2310)	Prec@1 36.719 (44.010)	Prec@5 75.000 (74.644)
Epoch: [36][12160/14090]	Time 0.762 (0.771)	Data 0.001 (0.001)	Loss 2.1599 (2.2310)	Prec@1 41.406 (44.009)	Prec@5 77.344 (74.645)
Epoch: [36][12170/14090]	Time 0.727 (0.771)	Data 0.001 (0.001)	Loss 2.2128 (2.2310)	Prec@1 44.531 (44.010)	Prec@5 73.438 (74.646)
Epoch: [36][12180/14090]	Time 0.864 (0.771)	Data 0.001 (0.001)	Loss 2.4010 (2.2309)	Prec@1 36.719 (44.012)	Prec@5 67.969 (74.646)
Epoch: [36][12190/14090]	Time 0.740 (0.771)	Data 0.001 (0.001)	Loss 2.0994 (2.2309)	Prec@1 48.438 (44.010)	Prec@5 78.125 (74.646)
Epoch: [36][12200/14090]	Time 0.734 (0.771)	Data 0.003 (0.001)	Loss 2.3970 (2.2310)	Prec@1 36.719 (44.009)	Prec@5 67.969 (74.645)
Epoch: [36][12210/14090]	Time 0.757 (0.771)	Data 0.001 (0.001)	Loss 1.9975 (2.2310)	Prec@1 52.344 (44.009)	Prec@5 83.594 (74.647)
Epoch: [36][12220/14090]	Time 0.752 (0.771)	Data 0.001 (0.001)	Loss 2.2485 (2.2310)	Prec@1 43.750 (44.011)	Prec@5 73.438 (74.647)
Epoch: [36][12230/14090]	Time 0.752 (0.771)	Data 0.001 (0.001)	Loss 2.5534 (2.2310)	Prec@1 38.281 (44.010)	Prec@5 70.312 (74.646)
Epoch: [36][12240/14090]	Time 0.743 (0.771)	Data 0.001 (0.001)	Loss 2.3741 (2.2310)	Prec@1 42.969 (44.011)	Prec@5 71.094 (74.646)
Epoch: [36][12250/14090]	Time 0.907 (0.771)	Data 0.001 (0.001)	Loss 2.2914 (2.2310)	Prec@1 42.969 (44.011)	Prec@5 72.656 (74.646)
Epoch: [36][12260/14090]	Time 0.739 (0.771)	Data 0.001 (0.001)	Loss 2.2973 (2.2310)	Prec@1 41.406 (44.010)	Prec@5 71.875 (74.646)
Epoch: [36][12270/14090]	Time 0.739 (0.771)	Data 0.001 (0.001)	Loss 2.3855 (2.2310)	Prec@1 41.406 (44.011)	Prec@5 71.875 (74.645)
Epoch: [36][12280/14090]	Time 0.753 (0.771)	Data 0.001 (0.001)	Loss 2.2404 (2.2311)	Prec@1 48.438 (44.010)	Prec@5 76.562 (74.645)
Epoch: [36][12290/14090]	Time 0.747 (0.771)	Data 0.001 (0.001)	Loss 2.1605 (2.2311)	Prec@1 43.750 (44.008)	Prec@5 75.000 (74.644)
Epoch: [36][12300/14090]	Time 0.756 (0.771)	Data 0.001 (0.001)	Loss 2.2157 (2.2312)	Prec@1 45.312 (44.008)	Prec@5 74.219 (74.643)
Epoch: [36][12310/14090]	Time 0.773 (0.771)	Data 0.001 (0.001)	Loss 2.0805 (2.2312)	Prec@1 48.438 (44.008)	Prec@5 78.906 (74.643)
Epoch: [36][12320/14090]	Time 1.019 (0.771)	Data 0.001 (0.001)	Loss 2.1973 (2.2312)	Prec@1 48.438 (44.008)	Prec@5 75.000 (74.643)
Epoch: [36][12330/14090]	Time 0.775 (0.771)	Data 0.001 (0.001)	Loss 2.2548 (2.2312)	Prec@1 39.062 (44.008)	Prec@5 75.000 (74.644)
Epoch: [36][12340/14090]	Time 0.738 (0.771)	Data 0.001 (0.001)	Loss 2.3620 (2.2312)	Prec@1 43.750 (44.008)	Prec@5 71.094 (74.643)
Epoch: [36][12350/14090]	Time 0.738 (0.771)	Data 0.001 (0.001)	Loss 2.4003 (2.2313)	Prec@1 41.406 (44.006)	Prec@5 73.438 (74.643)
Epoch: [36][12360/14090]	Time 0.730 (0.771)	Data 0.001 (0.001)	Loss 2.2029 (2.2313)	Prec@1 46.875 (44.005)	Prec@5 74.219 (74.643)
Epoch: [36][12370/14090]	Time 0.774 (0.771)	Data 0.001 (0.001)	Loss 2.1745 (2.2313)	Prec@1 47.656 (44.004)	Prec@5 77.344 (74.643)
Epoch: [36][12380/14090]	Time 0.754 (0.771)	Data 0.001 (0.001)	Loss 2.2297 (2.2313)	Prec@1 46.094 (44.006)	Prec@5 72.656 (74.643)
Epoch: [36][12390/14090]	Time 0.857 (0.771)	Data 0.001 (0.001)	Loss 2.3398 (2.2313)	Prec@1 39.844 (44.006)	Prec@5 73.438 (74.643)
Epoch: [36][12400/14090]	Time 0.754 (0.771)	Data 0.001 (0.001)	Loss 2.0542 (2.2313)	Prec@1 39.062 (44.005)	Prec@5 76.562 (74.643)
Epoch: [36][12410/14090]	Time 0.780 (0.771)	Data 0.001 (0.001)	Loss 2.2997 (2.2313)	Prec@1 47.656 (44.002)	Prec@5 72.656 (74.643)
Epoch: [36][12420/14090]	Time 0.766 (0.771)	Data 0.001 (0.001)	Loss 2.3319 (2.2314)	Prec@1 45.312 (44.000)	Prec@5 70.312 (74.641)
Epoch: [36][12430/14090]	Time 0.779 (0.771)	Data 0.001 (0.001)	Loss 1.9619 (2.2314)	Prec@1 49.219 (44.001)	Prec@5 81.250 (74.642)
Epoch: [36][12440/14090]	Time 0.750 (0.771)	Data 0.001 (0.001)	Loss 2.5241 (2.2314)	Prec@1 43.750 (44.001)	Prec@5 68.750 (74.641)
Epoch: [36][12450/14090]	Time 0.769 (0.771)	Data 0.001 (0.001)	Loss 2.1563 (2.2314)	Prec@1 46.094 (44.001)	Prec@5 74.219 (74.641)
Epoch: [36][12460/14090]	Time 0.856 (0.771)	Data 0.001 (0.001)	Loss 2.3791 (2.2314)	Prec@1 42.188 (44.001)	Prec@5 70.312 (74.639)
Epoch: [36][12470/14090]	Time 0.748 (0.771)	Data 0.001 (0.001)	Loss 2.4427 (2.2315)	Prec@1 40.625 (44.000)	Prec@5 65.625 (74.638)
Epoch: [36][12480/14090]	Time 0.740 (0.771)	Data 0.002 (0.001)	Loss 1.8587 (2.2314)	Prec@1 46.875 (44.001)	Prec@5 81.250 (74.639)
Epoch: [36][12490/14090]	Time 0.757 (0.771)	Data 0.001 (0.001)	Loss 2.0357 (2.2313)	Prec@1 45.312 (44.002)	Prec@5 74.219 (74.642)
Epoch: [36][12500/14090]	Time 0.771 (0.771)	Data 0.001 (0.001)	Loss 2.1635 (2.2314)	Prec@1 50.781 (44.001)	Prec@5 78.125 (74.641)
Epoch: [36][12510/14090]	Time 0.750 (0.771)	Data 0.001 (0.001)	Loss 2.3480 (2.2313)	Prec@1 39.844 (44.002)	Prec@5 71.875 (74.641)
Epoch: [36][12520/14090]	Time 0.751 (0.771)	Data 0.001 (0.001)	Loss 2.3908 (2.2314)	Prec@1 42.188 (44.002)	Prec@5 70.312 (74.640)
Epoch: [36][12530/14090]	Time 0.922 (0.771)	Data 0.001 (0.001)	Loss 2.5357 (2.2313)	Prec@1 38.281 (44.003)	Prec@5 65.625 (74.641)
Epoch: [36][12540/14090]	Time 0.752 (0.771)	Data 0.001 (0.001)	Loss 2.0562 (2.2314)	Prec@1 50.000 (44.003)	Prec@5 76.562 (74.639)
Epoch: [36][12550/14090]	Time 0.738 (0.771)	Data 0.001 (0.001)	Loss 2.3134 (2.2313)	Prec@1 43.750 (44.005)	Prec@5 68.750 (74.639)
Epoch: [36][12560/14090]	Time 0.741 (0.771)	Data 0.001 (0.001)	Loss 2.2848 (2.2313)	Prec@1 46.094 (44.005)	Prec@5 77.344 (74.639)
Epoch: [36][12570/14090]	Time 0.750 (0.771)	Data 0.001 (0.001)	Loss 2.0696 (2.2313)	Prec@1 50.000 (44.006)	Prec@5 75.000 (74.640)
Epoch: [36][12580/14090]	Time 0.736 (0.771)	Data 0.001 (0.001)	Loss 2.2878 (2.2313)	Prec@1 35.938 (44.004)	Prec@5 72.656 (74.639)
Epoch: [36][12590/14090]	Time 0.750 (0.771)	Data 0.001 (0.001)	Loss 2.3034 (2.2313)	Prec@1 44.531 (44.004)	Prec@5 71.094 (74.640)
Epoch: [36][12600/14090]	Time 0.837 (0.771)	Data 0.001 (0.001)	Loss 2.1016 (2.2313)	Prec@1 45.312 (44.005)	Prec@5 78.125 (74.641)
Epoch: [36][12610/14090]	Time 0.763 (0.771)	Data 0.001 (0.001)	Loss 2.2681 (2.2313)	Prec@1 42.188 (44.004)	Prec@5 72.656 (74.640)
Epoch: [36][12620/14090]	Time 0.737 (0.771)	Data 0.001 (0.001)	Loss 1.9526 (2.2313)	Prec@1 51.562 (44.005)	Prec@5 79.688 (74.639)
Epoch: [36][12630/14090]	Time 0.753 (0.771)	Data 0.001 (0.001)	Loss 2.0838 (2.2314)	Prec@1 42.969 (44.005)	Prec@5 77.344 (74.638)
Epoch: [36][12640/14090]	Time 0.742 (0.771)	Data 0.001 (0.001)	Loss 2.2468 (2.2314)	Prec@1 48.438 (44.006)	Prec@5 71.875 (74.637)
Epoch: [36][12650/14090]	Time 0.741 (0.771)	Data 0.001 (0.001)	Loss 2.2974 (2.2314)	Prec@1 43.750 (44.006)	Prec@5 73.438 (74.637)
Epoch: [36][12660/14090]	Time 0.756 (0.771)	Data 0.001 (0.001)	Loss 2.0745 (2.2314)	Prec@1 50.781 (44.008)	Prec@5 80.469 (74.637)
Epoch: [36][12670/14090]	Time 0.851 (0.771)	Data 0.001 (0.001)	Loss 2.2638 (2.2314)	Prec@1 44.531 (44.007)	Prec@5 71.875 (74.638)
Epoch: [36][12680/14090]	Time 0.744 (0.771)	Data 0.001 (0.001)	Loss 2.1143 (2.2314)	Prec@1 46.094 (44.006)	Prec@5 75.781 (74.638)
Epoch: [36][12690/14090]	Time 0.772 (0.771)	Data 0.001 (0.001)	Loss 2.2389 (2.2314)	Prec@1 45.312 (44.005)	Prec@5 77.344 (74.639)
Epoch: [36][12700/14090]	Time 0.746 (0.771)	Data 0.001 (0.001)	Loss 2.4586 (2.2314)	Prec@1 42.969 (44.004)	Prec@5 71.094 (74.638)
Epoch: [36][12710/14090]	Time 0.734 (0.771)	Data 0.001 (0.001)	Loss 2.0664 (2.2314)	Prec@1 51.562 (44.005)	Prec@5 77.344 (74.637)
Epoch: [36][12720/14090]	Time 0.748 (0.771)	Data 0.001 (0.001)	Loss 2.0671 (2.2314)	Prec@1 55.469 (44.007)	Prec@5 78.125 (74.638)
Epoch: [36][12730/14090]	Time 0.732 (0.771)	Data 0.001 (0.001)	Loss 2.4278 (2.2313)	Prec@1 42.188 (44.008)	Prec@5 66.406 (74.639)
Epoch: [36][12740/14090]	Time 0.857 (0.771)	Data 0.001 (0.001)	Loss 2.2817 (2.2313)	Prec@1 39.062 (44.008)	Prec@5 69.531 (74.637)
Epoch: [36][12750/14090]	Time 0.747 (0.771)	Data 0.001 (0.001)	Loss 2.3330 (2.2313)	Prec@1 43.750 (44.009)	Prec@5 68.750 (74.638)
Epoch: [36][12760/14090]	Time 0.763 (0.771)	Data 0.001 (0.001)	Loss 2.3972 (2.2313)	Prec@1 39.062 (44.009)	Prec@5 72.656 (74.637)
Epoch: [36][12770/14090]	Time 0.757 (0.771)	Data 0.001 (0.001)	Loss 2.2903 (2.2312)	Prec@1 46.875 (44.011)	Prec@5 68.750 (74.638)
Epoch: [36][12780/14090]	Time 0.752 (0.771)	Data 0.001 (0.001)	Loss 2.2753 (2.2313)	Prec@1 39.844 (44.010)	Prec@5 71.875 (74.637)
Epoch: [36][12790/14090]	Time 0.720 (0.771)	Data 0.001 (0.001)	Loss 2.1676 (2.2313)	Prec@1 41.406 (44.009)	Prec@5 75.000 (74.637)
Epoch: [36][12800/14090]	Time 0.753 (0.771)	Data 0.001 (0.001)	Loss 2.3283 (2.2312)	Prec@1 46.094 (44.010)	Prec@5 73.438 (74.638)
Epoch: [36][12810/14090]	Time 0.905 (0.771)	Data 0.001 (0.001)	Loss 2.1524 (2.2312)	Prec@1 42.188 (44.009)	Prec@5 75.000 (74.639)
Epoch: [36][12820/14090]	Time 0.741 (0.771)	Data 0.001 (0.001)	Loss 2.0343 (2.2312)	Prec@1 48.438 (44.009)	Prec@5 80.469 (74.640)
Epoch: [36][12830/14090]	Time 0.764 (0.771)	Data 0.001 (0.001)	Loss 2.2824 (2.2312)	Prec@1 44.531 (44.008)	Prec@5 71.875 (74.639)
Epoch: [36][12840/14090]	Time 0.780 (0.771)	Data 0.001 (0.001)	Loss 2.5503 (2.2313)	Prec@1 39.062 (44.008)	Prec@5 73.438 (74.638)
Epoch: [36][12850/14090]	Time 0.743 (0.771)	Data 0.001 (0.001)	Loss 2.1582 (2.2313)	Prec@1 40.625 (44.008)	Prec@5 79.688 (74.639)
Epoch: [36][12860/14090]	Time 0.763 (0.771)	Data 0.001 (0.001)	Loss 2.3391 (2.2312)	Prec@1 46.094 (44.008)	Prec@5 74.219 (74.639)
Epoch: [36][12870/14090]	Time 0.748 (0.771)	Data 0.002 (0.001)	Loss 2.2771 (2.2313)	Prec@1 44.531 (44.006)	Prec@5 73.438 (74.638)
Epoch: [36][12880/14090]	Time 0.887 (0.771)	Data 0.001 (0.001)	Loss 2.2779 (2.2313)	Prec@1 47.656 (44.005)	Prec@5 71.875 (74.638)
Epoch: [36][12890/14090]	Time 0.763 (0.771)	Data 0.001 (0.001)	Loss 2.3403 (2.2314)	Prec@1 44.531 (44.004)	Prec@5 69.531 (74.636)
Epoch: [36][12900/14090]	Time 0.778 (0.771)	Data 0.001 (0.001)	Loss 1.9797 (2.2314)	Prec@1 47.656 (44.003)	Prec@5 80.469 (74.636)
Epoch: [36][12910/14090]	Time 0.799 (0.771)	Data 0.001 (0.001)	Loss 2.1121 (2.2313)	Prec@1 44.531 (44.003)	Prec@5 73.438 (74.638)
Epoch: [36][12920/14090]	Time 0.737 (0.771)	Data 0.001 (0.001)	Loss 2.3328 (2.2314)	Prec@1 42.969 (44.003)	Prec@5 73.438 (74.638)
Epoch: [36][12930/14090]	Time 0.756 (0.771)	Data 0.001 (0.001)	Loss 2.1212 (2.2314)	Prec@1 47.656 (44.003)	Prec@5 78.906 (74.637)
Epoch: [36][12940/14090]	Time 0.732 (0.771)	Data 0.001 (0.001)	Loss 1.9517 (2.2313)	Prec@1 46.094 (44.004)	Prec@5 78.125 (74.637)
Epoch: [36][12950/14090]	Time 0.867 (0.771)	Data 0.001 (0.001)	Loss 2.1972 (2.2313)	Prec@1 42.188 (44.003)	Prec@5 75.000 (74.638)
Epoch: [36][12960/14090]	Time 0.737 (0.771)	Data 0.001 (0.001)	Loss 2.2250 (2.2314)	Prec@1 48.438 (44.004)	Prec@5 71.875 (74.637)
Epoch: [36][12970/14090]	Time 0.760 (0.771)	Data 0.001 (0.001)	Loss 2.1388 (2.2314)	Prec@1 41.406 (44.003)	Prec@5 73.438 (74.636)
Epoch: [36][12980/14090]	Time 0.724 (0.771)	Data 0.001 (0.001)	Loss 2.3190 (2.2313)	Prec@1 41.406 (44.004)	Prec@5 74.219 (74.636)
Epoch: [36][12990/14090]	Time 0.732 (0.771)	Data 0.001 (0.001)	Loss 2.2036 (2.2313)	Prec@1 46.875 (44.004)	Prec@5 72.656 (74.635)
Epoch: [36][13000/14090]	Time 0.752 (0.771)	Data 0.001 (0.001)	Loss 2.4253 (2.2314)	Prec@1 42.188 (44.003)	Prec@5 70.312 (74.634)
Epoch: [36][13010/14090]	Time 0.747 (0.771)	Data 0.001 (0.001)	Loss 2.2588 (2.2314)	Prec@1 45.312 (44.003)	Prec@5 71.094 (74.634)
Epoch: [36][13020/14090]	Time 0.869 (0.771)	Data 0.001 (0.001)	Loss 2.5512 (2.2314)	Prec@1 39.844 (44.003)	Prec@5 67.188 (74.633)
Epoch: [36][13030/14090]	Time 0.755 (0.771)	Data 0.001 (0.001)	Loss 2.1633 (2.2314)	Prec@1 49.219 (44.002)	Prec@5 78.125 (74.632)
Epoch: [36][13040/14090]	Time 0.755 (0.771)	Data 0.001 (0.001)	Loss 2.1682 (2.2315)	Prec@1 42.969 (44.002)	Prec@5 78.906 (74.632)
Epoch: [36][13050/14090]	Time 0.767 (0.771)	Data 0.001 (0.001)	Loss 2.1860 (2.2314)	Prec@1 48.438 (44.002)	Prec@5 72.656 (74.632)
Epoch: [36][13060/14090]	Time 0.767 (0.771)	Data 0.001 (0.001)	Loss 2.2977 (2.2315)	Prec@1 42.188 (44.000)	Prec@5 71.875 (74.631)
Epoch: [36][13070/14090]	Time 0.750 (0.771)	Data 0.001 (0.001)	Loss 2.0054 (2.2315)	Prec@1 47.656 (44.000)	Prec@5 75.781 (74.632)
Epoch: [36][13080/14090]	Time 0.745 (0.771)	Data 0.001 (0.001)	Loss 2.4011 (2.2316)	Prec@1 42.969 (43.999)	Prec@5 71.094 (74.631)
Epoch: [36][13090/14090]	Time 0.880 (0.771)	Data 0.001 (0.001)	Loss 2.3115 (2.2316)	Prec@1 39.062 (44.000)	Prec@5 73.438 (74.631)
Epoch: [36][13100/14090]	Time 0.743 (0.771)	Data 0.001 (0.001)	Loss 2.1099 (2.2316)	Prec@1 42.969 (44.001)	Prec@5 73.438 (74.632)
Epoch: [36][13110/14090]	Time 0.770 (0.771)	Data 0.001 (0.001)	Loss 2.3965 (2.2316)	Prec@1 40.625 (43.999)	Prec@5 67.969 (74.631)
Epoch: [36][13120/14090]	Time 0.753 (0.771)	Data 0.001 (0.001)	Loss 2.3404 (2.2317)	Prec@1 39.844 (43.997)	Prec@5 73.438 (74.631)
Epoch: [36][13130/14090]	Time 0.733 (0.771)	Data 0.001 (0.001)	Loss 2.4867 (2.2317)	Prec@1 41.406 (43.998)	Prec@5 71.875 (74.632)
Epoch: [36][13140/14090]	Time 0.759 (0.771)	Data 0.001 (0.001)	Loss 2.2691 (2.2317)	Prec@1 42.188 (43.995)	Prec@5 74.219 (74.631)
Epoch: [36][13150/14090]	Time 0.734 (0.771)	Data 0.001 (0.001)	Loss 1.9949 (2.2317)	Prec@1 50.781 (43.995)	Prec@5 80.469 (74.631)
Epoch: [36][13160/14090]	Time 1.015 (0.771)	Data 0.001 (0.001)	Loss 2.0529 (2.2316)	Prec@1 47.656 (43.998)	Prec@5 78.125 (74.633)
Epoch: [36][13170/14090]	Time 0.746 (0.771)	Data 0.001 (0.001)	Loss 2.3334 (2.2317)	Prec@1 42.188 (43.999)	Prec@5 73.438 (74.632)
Epoch: [36][13180/14090]	Time 0.738 (0.771)	Data 0.001 (0.001)	Loss 2.1841 (2.2318)	Prec@1 45.312 (43.997)	Prec@5 75.000 (74.632)
Epoch: [36][13190/14090]	Time 0.753 (0.771)	Data 0.001 (0.001)	Loss 2.3706 (2.2319)	Prec@1 42.188 (43.995)	Prec@5 70.312 (74.629)
Epoch: [36][13200/14090]	Time 0.732 (0.771)	Data 0.001 (0.001)	Loss 2.5170 (2.2320)	Prec@1 39.062 (43.995)	Prec@5 73.438 (74.628)
Epoch: [36][13210/14090]	Time 0.768 (0.771)	Data 0.001 (0.001)	Loss 2.3606 (2.2319)	Prec@1 42.188 (43.996)	Prec@5 73.438 (74.628)
Epoch: [36][13220/14090]	Time 0.736 (0.771)	Data 0.001 (0.001)	Loss 1.9911 (2.2319)	Prec@1 50.781 (43.997)	Prec@5 78.125 (74.628)
Epoch: [36][13230/14090]	Time 0.856 (0.771)	Data 0.001 (0.001)	Loss 2.1881 (2.2319)	Prec@1 45.312 (43.997)	Prec@5 74.219 (74.628)
Epoch: [36][13240/14090]	Time 0.748 (0.771)	Data 0.001 (0.001)	Loss 2.3848 (2.2319)	Prec@1 43.750 (43.997)	Prec@5 68.750 (74.628)
Epoch: [36][13250/14090]	Time 0.745 (0.771)	Data 0.001 (0.001)	Loss 2.4246 (2.2319)	Prec@1 41.406 (43.999)	Prec@5 67.969 (74.628)
Epoch: [36][13260/14090]	Time 0.756 (0.771)	Data 0.001 (0.001)	Loss 2.3732 (2.2319)	Prec@1 39.062 (43.999)	Prec@5 70.312 (74.628)
Epoch: [36][13270/14090]	Time 0.738 (0.771)	Data 0.001 (0.001)	Loss 2.1694 (2.2318)	Prec@1 45.312 (44.000)	Prec@5 77.344 (74.629)
Epoch: [36][13280/14090]	Time 0.741 (0.771)	Data 0.001 (0.001)	Loss 2.2227 (2.2318)	Prec@1 39.844 (44.001)	Prec@5 74.219 (74.630)
Epoch: [36][13290/14090]	Time 0.750 (0.771)	Data 0.001 (0.001)	Loss 2.2367 (2.2319)	Prec@1 42.188 (43.999)	Prec@5 73.438 (74.629)
Epoch: [36][13300/14090]	Time 0.857 (0.771)	Data 0.001 (0.001)	Loss 1.9875 (2.2318)	Prec@1 50.000 (43.998)	Prec@5 77.344 (74.629)
Epoch: [36][13310/14090]	Time 0.769 (0.771)	Data 0.001 (0.001)	Loss 2.2625 (2.2319)	Prec@1 45.312 (43.999)	Prec@5 76.562 (74.627)
Epoch: [36][13320/14090]	Time 0.729 (0.771)	Data 0.001 (0.001)	Loss 2.3620 (2.2319)	Prec@1 42.188 (43.997)	Prec@5 72.656 (74.627)
Epoch: [36][13330/14090]	Time 0.734 (0.771)	Data 0.001 (0.001)	Loss 2.1541 (2.2319)	Prec@1 44.531 (43.998)	Prec@5 76.562 (74.628)
Epoch: [36][13340/14090]	Time 0.769 (0.771)	Data 0.001 (0.001)	Loss 2.1906 (2.2319)	Prec@1 45.312 (43.996)	Prec@5 77.344 (74.627)
Epoch: [36][13350/14090]	Time 0.754 (0.771)	Data 0.001 (0.001)	Loss 2.1456 (2.2320)	Prec@1 48.438 (43.995)	Prec@5 75.781 (74.627)
Epoch: [36][13360/14090]	Time 0.783 (0.771)	Data 0.001 (0.001)	Loss 2.1666 (2.2320)	Prec@1 44.531 (43.995)	Prec@5 75.000 (74.628)
Epoch: [36][13370/14090]	Time 0.914 (0.771)	Data 0.001 (0.001)	Loss 2.3196 (2.2320)	Prec@1 39.844 (43.996)	Prec@5 74.219 (74.628)
Epoch: [36][13380/14090]	Time 0.751 (0.771)	Data 0.001 (0.001)	Loss 2.3931 (2.2320)	Prec@1 40.625 (43.995)	Prec@5 72.656 (74.628)
Epoch: [36][13390/14090]	Time 0.743 (0.771)	Data 0.001 (0.001)	Loss 2.0751 (2.2319)	Prec@1 45.312 (43.996)	Prec@5 76.562 (74.628)
Epoch: [36][13400/14090]	Time 0.731 (0.771)	Data 0.001 (0.001)	Loss 2.5705 (2.2319)	Prec@1 42.188 (43.998)	Prec@5 70.312 (74.629)
Epoch: [36][13410/14090]	Time 0.746 (0.771)	Data 0.001 (0.001)	Loss 2.0000 (2.2318)	Prec@1 42.188 (43.999)	Prec@5 79.688 (74.630)
Epoch: [36][13420/14090]	Time 0.753 (0.771)	Data 0.001 (0.001)	Loss 2.1637 (2.2318)	Prec@1 42.969 (43.998)	Prec@5 77.344 (74.631)
Epoch: [36][13430/14090]	Time 0.751 (0.771)	Data 0.001 (0.001)	Loss 2.2659 (2.2317)	Prec@1 50.000 (43.999)	Prec@5 75.000 (74.631)
Epoch: [36][13440/14090]	Time 0.965 (0.771)	Data 0.001 (0.001)	Loss 1.8807 (2.2318)	Prec@1 45.312 (43.998)	Prec@5 82.031 (74.630)
Epoch: [36][13450/14090]	Time 0.745 (0.771)	Data 0.001 (0.001)	Loss 2.0457 (2.2317)	Prec@1 45.312 (43.999)	Prec@5 78.125 (74.632)
Epoch: [36][13460/14090]	Time 0.749 (0.771)	Data 0.001 (0.001)	Loss 2.1048 (2.2317)	Prec@1 49.219 (43.998)	Prec@5 78.125 (74.632)
Epoch: [36][13470/14090]	Time 0.780 (0.771)	Data 0.001 (0.001)	Loss 2.2905 (2.2318)	Prec@1 46.094 (43.999)	Prec@5 72.656 (74.632)
Epoch: [36][13480/14090]	Time 0.739 (0.771)	Data 0.001 (0.001)	Loss 2.3269 (2.2317)	Prec@1 42.969 (44.001)	Prec@5 74.219 (74.633)
Epoch: [36][13490/14090]	Time 0.767 (0.771)	Data 0.001 (0.001)	Loss 2.0114 (2.2317)	Prec@1 46.094 (44.001)	Prec@5 81.250 (74.633)
Epoch: [36][13500/14090]	Time 0.759 (0.771)	Data 0.001 (0.001)	Loss 2.0236 (2.2317)	Prec@1 44.531 (44.001)	Prec@5 78.906 (74.634)
Epoch: [36][13510/14090]	Time 0.857 (0.771)	Data 0.001 (0.001)	Loss 2.3276 (2.2317)	Prec@1 42.969 (44.001)	Prec@5 71.875 (74.634)
Epoch: [36][13520/14090]	Time 0.736 (0.771)	Data 0.001 (0.001)	Loss 2.3469 (2.2317)	Prec@1 39.062 (44.000)	Prec@5 71.094 (74.634)
Epoch: [36][13530/14090]	Time 0.763 (0.771)	Data 0.001 (0.001)	Loss 2.6353 (2.2317)	Prec@1 38.281 (44.000)	Prec@5 62.500 (74.633)
Epoch: [36][13540/14090]	Time 0.731 (0.771)	Data 0.001 (0.001)	Loss 2.3699 (2.2317)	Prec@1 43.750 (44.001)	Prec@5 74.219 (74.635)
Epoch: [36][13550/14090]	Time 0.777 (0.771)	Data 0.001 (0.001)	Loss 2.3767 (2.2317)	Prec@1 34.375 (44.002)	Prec@5 71.875 (74.635)
Epoch: [36][13560/14090]	Time 0.734 (0.771)	Data 0.001 (0.001)	Loss 2.2538 (2.2317)	Prec@1 41.406 (44.002)	Prec@5 75.781 (74.636)
Epoch: [36][13570/14090]	Time 0.733 (0.771)	Data 0.001 (0.001)	Loss 2.1812 (2.2317)	Prec@1 42.969 (44.000)	Prec@5 77.344 (74.635)
Epoch: [36][13580/14090]	Time 0.883 (0.771)	Data 0.001 (0.001)	Loss 2.2532 (2.2317)	Prec@1 46.875 (44.001)	Prec@5 75.000 (74.636)
Epoch: [36][13590/14090]	Time 0.748 (0.771)	Data 0.001 (0.001)	Loss 2.2169 (2.2317)	Prec@1 51.562 (44.001)	Prec@5 71.875 (74.636)
Epoch: [36][13600/14090]	Time 0.784 (0.771)	Data 0.001 (0.001)	Loss 2.3362 (2.2316)	Prec@1 46.875 (44.003)	Prec@5 67.969 (74.637)
Epoch: [36][13610/14090]	Time 0.750 (0.771)	Data 0.001 (0.001)	Loss 2.1234 (2.2317)	Prec@1 42.969 (44.002)	Prec@5 77.344 (74.637)
Epoch: [36][13620/14090]	Time 0.782 (0.771)	Data 0.001 (0.001)	Loss 2.1092 (2.2316)	Prec@1 43.750 (44.002)	Prec@5 77.344 (74.639)
Epoch: [36][13630/14090]	Time 0.740 (0.771)	Data 0.001 (0.001)	Loss 2.2728 (2.2316)	Prec@1 46.094 (44.004)	Prec@5 73.438 (74.639)
Epoch: [36][13640/14090]	Time 0.747 (0.771)	Data 0.001 (0.001)	Loss 2.1383 (2.2315)	Prec@1 48.438 (44.005)	Prec@5 75.781 (74.640)
Epoch: [36][13650/14090]	Time 0.876 (0.771)	Data 0.001 (0.001)	Loss 1.9484 (2.2315)	Prec@1 53.125 (44.005)	Prec@5 80.469 (74.639)
Epoch: [36][13660/14090]	Time 0.744 (0.771)	Data 0.003 (0.001)	Loss 2.4859 (2.2316)	Prec@1 40.625 (44.003)	Prec@5 71.094 (74.638)
Epoch: [36][13670/14090]	Time 0.775 (0.771)	Data 0.001 (0.001)	Loss 2.4395 (2.2316)	Prec@1 38.281 (44.003)	Prec@5 71.094 (74.638)
Epoch: [36][13680/14090]	Time 0.765 (0.771)	Data 0.001 (0.001)	Loss 2.1695 (2.2317)	Prec@1 36.719 (44.003)	Prec@5 77.344 (74.637)
Epoch: [36][13690/14090]	Time 0.742 (0.771)	Data 0.001 (0.001)	Loss 2.4820 (2.2317)	Prec@1 43.750 (44.002)	Prec@5 71.094 (74.637)
Epoch: [36][13700/14090]	Time 0.742 (0.771)	Data 0.001 (0.001)	Loss 2.3551 (2.2317)	Prec@1 41.406 (44.002)	Prec@5 74.219 (74.638)
Epoch: [36][13710/14090]	Time 0.785 (0.771)	Data 0.001 (0.001)	Loss 2.0903 (2.2316)	Prec@1 43.750 (44.003)	Prec@5 80.469 (74.638)
Epoch: [36][13720/14090]	Time 0.890 (0.771)	Data 0.001 (0.001)	Loss 2.3371 (2.2316)	Prec@1 39.062 (44.003)	Prec@5 72.656 (74.638)
Epoch: [36][13730/14090]	Time 0.740 (0.771)	Data 0.001 (0.001)	Loss 2.1902 (2.2315)	Prec@1 42.969 (44.006)	Prec@5 82.812 (74.639)
Epoch: [36][13740/14090]	Time 0.774 (0.771)	Data 0.001 (0.001)	Loss 2.2557 (2.2315)	Prec@1 44.531 (44.005)	Prec@5 73.438 (74.640)
Epoch: [36][13750/14090]	Time 0.776 (0.771)	Data 0.001 (0.001)	Loss 2.2413 (2.2315)	Prec@1 37.500 (44.006)	Prec@5 77.344 (74.642)
Epoch: [36][13760/14090]	Time 0.769 (0.771)	Data 0.001 (0.001)	Loss 2.3413 (2.2314)	Prec@1 42.969 (44.007)	Prec@5 74.219 (74.642)
Epoch: [36][13770/14090]	Time 0.757 (0.771)	Data 0.001 (0.001)	Loss 2.1933 (2.2314)	Prec@1 45.312 (44.008)	Prec@5 68.750 (74.642)
Epoch: [36][13780/14090]	Time 0.732 (0.771)	Data 0.001 (0.001)	Loss 2.0607 (2.2314)	Prec@1 49.219 (44.008)	Prec@5 78.125 (74.642)
Epoch: [36][13790/14090]	Time 0.882 (0.771)	Data 0.001 (0.001)	Loss 2.2010 (2.2314)	Prec@1 42.969 (44.009)	Prec@5 75.000 (74.642)
Epoch: [36][13800/14090]	Time 0.739 (0.771)	Data 0.001 (0.001)	Loss 2.1828 (2.2314)	Prec@1 44.531 (44.009)	Prec@5 75.000 (74.642)
Epoch: [36][13810/14090]	Time 0.731 (0.771)	Data 0.001 (0.001)	Loss 1.8693 (2.2314)	Prec@1 49.219 (44.009)	Prec@5 82.812 (74.643)
Epoch: [36][13820/14090]	Time 0.752 (0.771)	Data 0.001 (0.001)	Loss 2.0613 (2.2313)	Prec@1 48.438 (44.010)	Prec@5 75.000 (74.643)
Epoch: [36][13830/14090]	Time 0.755 (0.771)	Data 0.001 (0.001)	Loss 2.1267 (2.2314)	Prec@1 45.312 (44.009)	Prec@5 75.000 (74.642)
Epoch: [36][13840/14090]	Time 0.731 (0.771)	Data 0.001 (0.001)	Loss 2.3953 (2.2314)	Prec@1 44.531 (44.009)	Prec@5 75.000 (74.641)
Epoch: [36][13850/14090]	Time 0.752 (0.771)	Data 0.001 (0.001)	Loss 2.2874 (2.2314)	Prec@1 43.750 (44.008)	Prec@5 72.656 (74.641)
Epoch: [36][13860/14090]	Time 0.889 (0.771)	Data 0.001 (0.001)	Loss 2.3561 (2.2314)	Prec@1 40.625 (44.008)	Prec@5 75.781 (74.641)
Epoch: [36][13870/14090]	Time 0.731 (0.771)	Data 0.001 (0.001)	Loss 2.0994 (2.2314)	Prec@1 42.969 (44.008)	Prec@5 76.562 (74.642)
Epoch: [36][13880/14090]	Time 0.746 (0.771)	Data 0.001 (0.001)	Loss 2.0458 (2.2314)	Prec@1 47.656 (44.008)	Prec@5 75.781 (74.641)
Epoch: [36][13890/14090]	Time 0.766 (0.771)	Data 0.001 (0.001)	Loss 2.1763 (2.2314)	Prec@1 46.094 (44.008)	Prec@5 75.781 (74.641)
Epoch: [36][13900/14090]	Time 0.727 (0.771)	Data 0.001 (0.001)	Loss 2.1083 (2.2313)	Prec@1 46.875 (44.011)	Prec@5 77.344 (74.644)
Epoch: [36][13910/14090]	Time 0.753 (0.771)	Data 0.001 (0.001)	Loss 2.3183 (2.2313)	Prec@1 37.500 (44.010)	Prec@5 68.750 (74.642)
Epoch: [36][13920/14090]	Time 0.736 (0.771)	Data 0.001 (0.001)	Loss 2.1114 (2.2313)	Prec@1 42.188 (44.009)	Prec@5 78.906 (74.643)
Epoch: [36][13930/14090]	Time 0.877 (0.771)	Data 0.001 (0.001)	Loss 2.4952 (2.2313)	Prec@1 35.938 (44.007)	Prec@5 73.438 (74.644)
Epoch: [36][13940/14090]	Time 0.724 (0.771)	Data 0.001 (0.001)	Loss 1.9544 (2.2313)	Prec@1 46.094 (44.005)	Prec@5 77.344 (74.645)
Epoch: [36][13950/14090]	Time 0.752 (0.771)	Data 0.001 (0.001)	Loss 2.3080 (2.2313)	Prec@1 38.281 (44.006)	Prec@5 78.125 (74.646)
Epoch: [36][13960/14090]	Time 0.760 (0.771)	Data 0.001 (0.001)	Loss 2.5128 (2.2313)	Prec@1 42.188 (44.005)	Prec@5 69.531 (74.645)
Epoch: [36][13970/14090]	Time 0.760 (0.771)	Data 0.001 (0.001)	Loss 2.3740 (2.2313)	Prec@1 43.750 (44.006)	Prec@5 70.312 (74.647)
Epoch: [36][13980/14090]	Time 0.756 (0.771)	Data 0.001 (0.001)	Loss 2.2472 (2.2313)	Prec@1 39.844 (44.004)	Prec@5 78.125 (74.646)
Epoch: [36][13990/14090]	Time 0.742 (0.771)	Data 0.001 (0.001)	Loss 2.4455 (2.2313)	Prec@1 38.281 (44.003)	Prec@5 68.750 (74.646)
Epoch: [36][14000/14090]	Time 0.975 (0.771)	Data 0.001 (0.001)	Loss 1.9663 (2.2313)	Prec@1 46.875 (44.002)	Prec@5 78.125 (74.647)
Epoch: [36][14010/14090]	Time 0.756 (0.771)	Data 0.002 (0.001)	Loss 2.1578 (2.2312)	Prec@1 47.656 (44.004)	Prec@5 77.344 (74.648)
Epoch: [36][14020/14090]	Time 0.727 (0.771)	Data 0.001 (0.001)	Loss 2.5946 (2.2312)	Prec@1 42.188 (44.005)	Prec@5 65.625 (74.647)
Epoch: [36][14030/14090]	Time 0.745 (0.771)	Data 0.003 (0.001)	Loss 2.3705 (2.2312)	Prec@1 42.969 (44.005)	Prec@5 71.094 (74.647)
Epoch: [36][14040/14090]	Time 0.738 (0.771)	Data 0.001 (0.001)	Loss 2.3407 (2.2313)	Prec@1 39.062 (44.004)	Prec@5 75.000 (74.648)
Epoch: [36][14050/14090]	Time 0.734 (0.771)	Data 0.001 (0.001)	Loss 2.2541 (2.2313)	Prec@1 38.281 (44.003)	Prec@5 75.781 (74.648)
Epoch: [36][14060/14090]	Time 0.759 (0.771)	Data 0.001 (0.001)	Loss 2.2764 (2.2313)	Prec@1 41.406 (44.002)	Prec@5 73.438 (74.649)
Epoch: [36][14070/14090]	Time 0.858 (0.771)	Data 0.001 (0.001)	Loss 2.3362 (2.2313)	Prec@1 46.875 (44.001)	Prec@5 75.781 (74.648)
Epoch: [36][14080/14090]	Time 0.764 (0.771)	Data 0.000 (0.001)	Loss 1.9660 (2.2313)	Prec@1 51.562 (44.002)	Prec@5 78.906 (74.649)
Test: [0/286]	Time 3.897 (3.897)	Loss 1.1140 (1.1140)	Prec@1 65.625 (65.625)	Prec@5 96.094 (96.094)
Test: [10/286]	Time 0.239 (0.702)	Loss 2.1648 (1.9957)	Prec@1 46.875 (49.929)	Prec@5 78.906 (80.256)
Test: [20/286]	Time 0.238 (0.525)	Loss 1.6191 (1.8996)	Prec@1 58.594 (50.000)	Prec@5 90.625 (82.180)
Test: [30/286]	Time 0.228 (0.472)	Loss 2.1844 (1.8225)	Prec@1 45.312 (52.545)	Prec@5 78.125 (82.787)
Test: [40/286]	Time 1.274 (0.467)	Loss 1.8104 (1.8444)	Prec@1 42.969 (51.601)	Prec@5 88.281 (82.450)
Test: [50/286]	Time 0.236 (0.445)	Loss 0.6997 (1.8551)	Prec@1 85.938 (51.195)	Prec@5 92.188 (82.460)
Test: [60/286]	Time 0.239 (0.433)	Loss 2.8202 (1.8662)	Prec@1 33.594 (50.935)	Prec@5 64.062 (81.711)
Test: [70/286]	Time 0.232 (0.420)	Loss 1.2005 (1.8314)	Prec@1 69.531 (51.640)	Prec@5 91.406 (82.361)
Test: [80/286]	Time 1.110 (0.426)	Loss 1.8947 (1.8799)	Prec@1 45.312 (50.154)	Prec@5 84.375 (81.655)
Test: [90/286]	Time 0.237 (0.419)	Loss 1.8316 (1.8908)	Prec@1 55.469 (50.120)	Prec@5 85.938 (81.422)
Test: [100/286]	Time 0.230 (0.410)	Loss 2.3958 (1.9021)	Prec@1 24.219 (49.807)	Prec@5 78.125 (81.451)
Test: [110/286]	Time 0.297 (0.406)	Loss 2.1882 (1.9101)	Prec@1 45.312 (49.500)	Prec@5 76.562 (81.546)
Test: [120/286]	Time 0.765 (0.410)	Loss 1.7567 (1.8952)	Prec@1 57.812 (50.084)	Prec@5 78.906 (81.676)
Test: [130/286]	Time 0.237 (0.407)	Loss 1.0562 (1.8891)	Prec@1 70.312 (50.358)	Prec@5 92.188 (81.620)
Test: [140/286]	Time 0.235 (0.405)	Loss 2.4530 (1.8801)	Prec@1 46.875 (50.521)	Prec@5 70.312 (81.749)
Test: [150/286]	Time 0.369 (0.402)	Loss 2.6097 (1.8915)	Prec@1 23.438 (49.990)	Prec@5 78.125 (81.798)
Test: [160/286]	Time 0.570 (0.403)	Loss 2.7423 (1.8900)	Prec@1 21.875 (50.053)	Prec@5 69.531 (81.813)
Test: [170/286]	Time 0.228 (0.401)	Loss 2.0853 (1.8809)	Prec@1 45.312 (50.297)	Prec@5 79.688 (81.922)
Test: [180/286]	Time 0.227 (0.399)	Loss 1.8805 (1.8926)	Prec@1 57.812 (50.009)	Prec@5 78.906 (81.751)
Test: [190/286]	Time 0.591 (0.400)	Loss 3.1408 (1.9104)	Prec@1 13.281 (49.571)	Prec@5 65.625 (81.549)
Test: [200/286]	Time 0.301 (0.400)	Loss 1.7421 (1.9067)	Prec@1 60.938 (49.677)	Prec@5 89.844 (81.646)
Test: [210/286]	Time 0.236 (0.398)	Loss 1.9708 (1.9065)	Prec@1 50.000 (49.711)	Prec@5 81.250 (81.624)
Test: [220/286]	Time 0.228 (0.398)	Loss 2.7121 (1.9127)	Prec@1 23.438 (49.593)	Prec@5 71.094 (81.448)
Test: [230/286]	Time 0.475 (0.398)	Loss 0.9692 (1.9141)	Prec@1 70.312 (49.570)	Prec@5 93.750 (81.345)
Test: [240/286]	Time 0.299 (0.397)	Loss 2.1164 (1.9095)	Prec@1 42.969 (49.747)	Prec@5 79.688 (81.432)
Test: [250/286]	Time 0.992 (0.398)	Loss 1.7875 (1.9042)	Prec@1 50.000 (49.714)	Prec@5 83.594 (81.639)
Test: [260/286]	Time 0.238 (0.397)	Loss 1.7009 (1.8960)	Prec@1 53.906 (49.943)	Prec@5 85.156 (81.783)
Test: [270/286]	Time 0.272 (0.396)	Loss 1.4108 (1.9013)	Prec@1 65.625 (49.850)	Prec@5 89.844 (81.766)
Test: [280/286]	Time 0.233 (0.395)	Loss 1.9861 (1.8843)	Prec@1 46.094 (50.375)	Prec@5 85.156 (81.931)
 * Prec@1 50.528 Prec@5 81.964
Epoch: [37][0/14090]	Time 5.461 (5.461)	Data 4.671 (4.671)	Loss 2.1766 (2.1766)	Prec@1 42.188 (42.188)	Prec@5 76.562 (76.562)
Epoch: [37][10/14090]	Time 0.718 (1.166)	Data 0.001 (0.425)	Loss 1.9711 (2.1386)	Prec@1 46.875 (44.460)	Prec@5 82.031 (77.202)
Epoch: [37][20/14090]	Time 0.747 (0.972)	Data 0.001 (0.223)	Loss 2.2625 (2.1704)	Prec@1 46.094 (44.271)	Prec@5 75.781 (76.339)
Epoch: [37][30/14090]	Time 0.728 (0.902)	Data 0.001 (0.151)	Loss 2.1057 (2.1808)	Prec@1 42.969 (44.304)	Prec@5 73.438 (75.907)
Epoch: [37][40/14090]	Time 0.904 (0.867)	Data 0.001 (0.115)	Loss 1.9987 (2.1819)	Prec@1 43.750 (44.512)	Prec@5 79.688 (76.105)
Epoch: [37][50/14090]	Time 0.748 (0.847)	Data 0.001 (0.092)	Loss 2.2278 (2.1893)	Prec@1 41.406 (44.470)	Prec@5 75.000 (75.858)
Epoch: [37][60/14090]	Time 0.758 (0.833)	Data 0.001 (0.077)	Loss 2.2289 (2.1949)	Prec@1 40.625 (44.262)	Prec@5 73.438 (75.743)
Epoch: [37][70/14090]	Time 0.766 (0.826)	Data 0.001 (0.067)	Loss 2.1240 (2.1946)	Prec@1 41.406 (44.245)	Prec@5 74.219 (75.880)
Epoch: [37][80/14090]	Time 0.781 (0.817)	Data 0.001 (0.059)	Loss 2.0228 (2.1850)	Prec@1 48.438 (44.406)	Prec@5 84.375 (76.080)
Epoch: [37][90/14090]	Time 0.768 (0.813)	Data 0.001 (0.052)	Loss 2.1624 (2.1922)	Prec@1 46.094 (44.119)	Prec@5 71.875 (75.876)
Epoch: [37][100/14090]	Time 0.755 (0.808)	Data 0.001 (0.047)	Loss 2.1333 (2.1883)	Prec@1 48.438 (44.245)	Prec@5 76.562 (75.882)
Epoch: [37][110/14090]	Time 0.853 (0.806)	Data 0.001 (0.043)	Loss 2.1616 (2.1850)	Prec@1 46.094 (44.531)	Prec@5 71.875 (75.788)
Epoch: [37][120/14090]	Time 0.736 (0.803)	Data 0.001 (0.039)	Loss 2.1956 (2.1775)	Prec@1 44.531 (44.693)	Prec@5 71.094 (75.820)
Epoch: [37][130/14090]	Time 0.758 (0.800)	Data 0.001 (0.037)	Loss 2.1757 (2.1805)	Prec@1 42.188 (44.597)	Prec@5 78.125 (75.793)
Epoch: [37][140/14090]	Time 0.757 (0.799)	Data 0.001 (0.034)	Loss 2.2183 (2.1863)	Prec@1 45.312 (44.587)	Prec@5 71.875 (75.587)
Epoch: [37][150/14090]	Time 0.755 (0.796)	Data 0.001 (0.032)	Loss 2.1819 (2.1893)	Prec@1 46.094 (44.536)	Prec@5 75.781 (75.507)
Epoch: [37][160/14090]	Time 0.752 (0.795)	Data 0.001 (0.030)	Loss 1.9675 (2.1874)	Prec@1 53.125 (44.585)	Prec@5 78.125 (75.577)
Epoch: [37][170/14090]	Time 0.768 (0.793)	Data 0.001 (0.028)	Loss 2.2793 (2.1846)	Prec@1 42.188 (44.613)	Prec@5 75.000 (75.662)
Epoch: [37][180/14090]	Time 0.882 (0.792)	Data 0.001 (0.027)	Loss 2.2832 (2.1857)	Prec@1 44.531 (44.639)	Prec@5 71.875 (75.583)
Epoch: [37][190/14090]	Time 0.731 (0.791)	Data 0.001 (0.025)	Loss 2.8082 (2.1925)	Prec@1 32.812 (44.568)	Prec@5 62.500 (75.458)
Epoch: [37][200/14090]	Time 0.740 (0.789)	Data 0.001 (0.024)	Loss 2.4561 (2.1921)	Prec@1 32.812 (44.543)	Prec@5 67.188 (75.420)
Epoch: [37][210/14090]	Time 0.761 (0.789)	Data 0.001 (0.023)	Loss 2.2006 (2.1922)	Prec@1 42.188 (44.583)	Prec@5 71.875 (75.426)
Epoch: [37][220/14090]	Time 0.730 (0.788)	Data 0.001 (0.022)	Loss 2.0645 (2.1928)	Prec@1 42.969 (44.535)	Prec@5 78.906 (75.403)
Epoch: [37][230/14090]	Time 0.764 (0.788)	Data 0.001 (0.021)	Loss 2.1198 (2.1939)	Prec@1 43.750 (44.491)	Prec@5 73.438 (75.399)
Epoch: [37][240/14090]	Time 0.782 (0.787)	Data 0.001 (0.020)	Loss 1.9646 (2.1948)	Prec@1 46.875 (44.463)	Prec@5 79.688 (75.383)
Epoch: [37][250/14090]	Time 0.901 (0.787)	Data 0.001 (0.019)	Loss 2.2948 (2.1947)	Prec@1 39.844 (44.441)	Prec@5 75.000 (75.423)
Epoch: [37][260/14090]	Time 0.750 (0.786)	Data 0.001 (0.019)	Loss 2.3294 (2.1951)	Prec@1 38.281 (44.441)	Prec@5 75.781 (75.395)
Epoch: [37][270/14090]	Time 0.725 (0.785)	Data 0.001 (0.018)	Loss 2.3527 (2.1999)	Prec@1 44.531 (44.367)	Prec@5 73.438 (75.317)
Epoch: [37][280/14090]	Time 0.767 (0.785)	Data 0.001 (0.017)	Loss 2.5277 (2.1999)	Prec@1 31.250 (44.353)	Prec@5 64.844 (75.267)
Epoch: [37][290/14090]	Time 0.742 (0.784)	Data 0.001 (0.017)	Loss 2.3987 (2.2011)	Prec@1 43.750 (44.351)	Prec@5 71.094 (75.244)
Epoch: [37][300/14090]	Time 0.731 (0.784)	Data 0.001 (0.016)	Loss 2.2491 (2.2017)	Prec@1 43.750 (44.342)	Prec@5 74.219 (75.231)
Epoch: [37][310/14090]	Time 0.765 (0.784)	Data 0.001 (0.016)	Loss 2.3036 (2.2029)	Prec@1 37.500 (44.313)	Prec@5 71.875 (75.171)
Epoch: [37][320/14090]	Time 0.900 (0.783)	Data 0.001 (0.015)	Loss 2.2395 (2.2035)	Prec@1 43.750 (44.278)	Prec@5 73.438 (75.158)
Epoch: [37][330/14090]	Time 0.789 (0.783)	Data 0.001 (0.015)	Loss 2.1657 (2.2043)	Prec@1 43.750 (44.253)	Prec@5 75.781 (75.135)
Epoch: [37][340/14090]	Time 0.737 (0.782)	Data 0.001 (0.015)	Loss 2.0204 (2.2034)	Prec@1 49.219 (44.300)	Prec@5 78.125 (75.142)
Epoch: [37][350/14090]	Time 0.749 (0.782)	Data 0.001 (0.014)	Loss 2.3435 (2.2042)	Prec@1 46.094 (44.320)	Prec@5 68.750 (75.134)
Epoch: [37][360/14090]	Time 0.777 (0.781)	Data 0.001 (0.014)	Loss 2.1611 (2.2035)	Prec@1 45.312 (44.317)	Prec@5 78.906 (75.143)
Epoch: [37][370/14090]	Time 0.769 (0.781)	Data 0.001 (0.013)	Loss 2.3071 (2.2012)	Prec@1 42.188 (44.346)	Prec@5 71.094 (75.177)
Epoch: [37][380/14090]	Time 0.763 (0.781)	Data 0.001 (0.013)	Loss 2.5288 (2.2023)	Prec@1 41.406 (44.334)	Prec@5 68.750 (75.172)
Epoch: [37][390/14090]	Time 0.856 (0.781)	Data 0.001 (0.013)	Loss 1.9823 (2.2033)	Prec@1 46.875 (44.307)	Prec@5 77.344 (75.164)
Epoch: [37][400/14090]	Time 0.776 (0.781)	Data 0.001 (0.013)	Loss 2.0148 (2.2008)	Prec@1 47.656 (44.366)	Prec@5 80.469 (75.195)
Epoch: [37][410/14090]	Time 0.746 (0.780)	Data 0.001 (0.012)	Loss 2.2795 (2.2031)	Prec@1 45.312 (44.335)	Prec@5 71.094 (75.133)
Epoch: [37][420/14090]	Time 0.742 (0.780)	Data 0.001 (0.012)	Loss 2.0844 (2.2048)	Prec@1 42.188 (44.270)	Prec@5 76.562 (75.126)
Epoch: [37][430/14090]	Time 0.745 (0.780)	Data 0.001 (0.012)	Loss 2.0494 (2.2033)	Prec@1 47.656 (44.310)	Prec@5 79.688 (75.169)
Epoch: [37][440/14090]	Time 0.755 (0.779)	Data 0.001 (0.011)	Loss 2.3253 (2.2020)	Prec@1 42.188 (44.345)	Prec@5 71.875 (75.165)
Epoch: [37][450/14090]	Time 0.744 (0.779)	Data 0.001 (0.011)	Loss 2.0969 (2.1998)	Prec@1 46.875 (44.424)	Prec@5 79.688 (75.211)
Epoch: [37][460/14090]	Time 0.860 (0.779)	Data 0.001 (0.011)	Loss 2.0971 (2.1988)	Prec@1 52.344 (44.496)	Prec@5 80.469 (75.230)
Epoch: [37][470/14090]	Time 0.727 (0.779)	Data 0.001 (0.011)	Loss 2.3146 (2.1972)	Prec@1 42.969 (44.536)	Prec@5 75.000 (75.279)
Epoch: [37][480/14090]	Time 0.790 (0.778)	Data 0.001 (0.011)	Loss 2.2228 (2.1964)	Prec@1 47.656 (44.534)	Prec@5 73.438 (75.300)
Epoch: [37][490/14090]	Time 0.733 (0.778)	Data 0.001 (0.010)	Loss 2.4313 (2.1965)	Prec@1 36.719 (44.539)	Prec@5 68.750 (75.298)
Epoch: [37][500/14090]	Time 0.753 (0.778)	Data 0.001 (0.010)	Loss 2.2497 (2.1965)	Prec@1 42.188 (44.552)	Prec@5 70.312 (75.278)
Epoch: [37][510/14090]	Time 0.727 (0.778)	Data 0.001 (0.010)	Loss 2.2419 (2.1967)	Prec@1 42.188 (44.533)	Prec@5 75.000 (75.254)
Epoch: [37][520/14090]	Time 0.743 (0.778)	Data 0.002 (0.010)	Loss 2.2145 (2.1963)	Prec@1 42.969 (44.563)	Prec@5 74.219 (75.285)
Epoch: [37][530/14090]	Time 0.910 (0.778)	Data 0.001 (0.010)	Loss 2.3367 (2.1966)	Prec@1 42.188 (44.567)	Prec@5 73.438 (75.297)
Epoch: [37][540/14090]	Time 0.752 (0.778)	Data 0.001 (0.010)	Loss 2.0746 (2.1973)	Prec@1 49.219 (44.553)	Prec@5 72.656 (75.258)
Epoch: [37][550/14090]	Time 0.735 (0.778)	Data 0.001 (0.009)	Loss 2.3150 (2.1989)	Prec@1 38.281 (44.523)	Prec@5 72.656 (75.221)
Epoch: [37][560/14090]	Time 0.739 (0.778)	Data 0.001 (0.009)	Loss 2.3965 (2.2003)	Prec@1 43.750 (44.485)	Prec@5 75.000 (75.199)
Epoch: [37][570/14090]	Time 0.735 (0.778)	Data 0.001 (0.009)	Loss 2.1934 (2.2005)	Prec@1 40.625 (44.481)	Prec@5 74.219 (75.201)
Epoch: [37][580/14090]	Time 0.747 (0.778)	Data 0.001 (0.009)	Loss 2.1927 (2.2003)	Prec@1 47.656 (44.503)	Prec@5 75.000 (75.200)
Epoch: [37][590/14090]	Time 0.772 (0.778)	Data 0.001 (0.009)	Loss 2.2819 (2.2019)	Prec@1 42.188 (44.477)	Prec@5 72.656 (75.181)
Epoch: [37][600/14090]	Time 0.870 (0.778)	Data 0.001 (0.009)	Loss 2.2103 (2.2011)	Prec@1 42.188 (44.471)	Prec@5 76.562 (75.201)
Epoch: [37][610/14090]	Time 0.751 (0.778)	Data 0.001 (0.009)	Loss 2.0762 (2.2022)	Prec@1 37.500 (44.444)	Prec@5 78.906 (75.189)
Epoch: [37][620/14090]	Time 0.741 (0.778)	Data 0.001 (0.008)	Loss 2.3994 (2.2024)	Prec@1 40.625 (44.442)	Prec@5 66.406 (75.172)
Epoch: [37][630/14090]	Time 0.760 (0.778)	Data 0.001 (0.008)	Loss 2.3839 (2.2033)	Prec@1 41.406 (44.431)	Prec@5 76.562 (75.161)
Epoch: [37][640/14090]	Time 0.749 (0.777)	Data 0.001 (0.008)	Loss 2.3845 (2.2035)	Prec@1 39.844 (44.406)	Prec@5 75.781 (75.176)
Epoch: [37][650/14090]	Time 0.760 (0.777)	Data 0.001 (0.008)	Loss 2.2408 (2.2035)	Prec@1 39.062 (44.388)	Prec@5 74.219 (75.174)
Epoch: [37][660/14090]	Time 0.730 (0.777)	Data 0.001 (0.008)	Loss 2.1948 (2.2030)	Prec@1 50.781 (44.413)	Prec@5 78.125 (75.203)
Epoch: [37][670/14090]	Time 0.852 (0.777)	Data 0.001 (0.008)	Loss 2.2424 (2.2028)	Prec@1 41.406 (44.395)	Prec@5 77.344 (75.219)
Epoch: [37][680/14090]	Time 0.768 (0.777)	Data 0.001 (0.008)	Loss 2.0957 (2.2029)	Prec@1 50.781 (44.422)	Prec@5 74.219 (75.205)
Epoch: [37][690/14090]	Time 0.737 (0.777)	Data 0.001 (0.008)	Loss 2.3753 (2.2024)	Prec@1 40.625 (44.429)	Prec@5 73.438 (75.230)
Epoch: [37][700/14090]	Time 0.758 (0.777)	Data 0.001 (0.008)	Loss 2.5082 (2.2017)	Prec@1 43.750 (44.449)	Prec@5 70.312 (75.223)
Epoch: [37][710/14090]	Time 0.775 (0.776)	Data 0.001 (0.007)	Loss 2.1212 (2.2022)	Prec@1 45.312 (44.425)	Prec@5 75.000 (75.205)
Epoch: [37][720/14090]	Time 0.736 (0.776)	Data 0.001 (0.007)	Loss 2.4193 (2.2021)	Prec@1 39.062 (44.462)	Prec@5 74.219 (75.205)
Epoch: [37][730/14090]	Time 0.738 (0.777)	Data 0.001 (0.007)	Loss 2.2222 (2.2022)	Prec@1 44.531 (44.455)	Prec@5 71.875 (75.198)
Epoch: [37][740/14090]	Time 0.869 (0.777)	Data 0.001 (0.007)	Loss 2.1695 (2.2030)	Prec@1 44.531 (44.445)	Prec@5 71.875 (75.167)
Epoch: [37][750/14090]	Time 0.759 (0.777)	Data 0.001 (0.007)	Loss 2.3874 (2.2036)	Prec@1 41.406 (44.433)	Prec@5 72.656 (75.163)
Epoch: [37][760/14090]	Time 0.727 (0.777)	Data 0.001 (0.007)	Loss 2.2715 (2.2035)	Prec@1 42.969 (44.453)	Prec@5 71.094 (75.160)
Epoch: [37][770/14090]	Time 0.748 (0.777)	Data 0.001 (0.007)	Loss 2.2980 (2.2036)	Prec@1 43.750 (44.456)	Prec@5 73.438 (75.150)
Epoch: [37][780/14090]	Time 0.747 (0.776)	Data 0.001 (0.007)	Loss 2.1657 (2.2039)	Prec@1 44.531 (44.437)	Prec@5 80.469 (75.152)
Epoch: [37][790/14090]	Time 0.740 (0.776)	Data 0.001 (0.007)	Loss 2.1893 (2.2042)	Prec@1 50.781 (44.443)	Prec@5 77.344 (75.137)
Epoch: [37][800/14090]	Time 0.726 (0.776)	Data 0.001 (0.007)	Loss 2.0747 (2.2022)	Prec@1 42.188 (44.494)	Prec@5 82.812 (75.185)
Epoch: [37][810/14090]	Time 0.892 (0.776)	Data 0.001 (0.007)	Loss 2.2524 (2.2027)	Prec@1 42.969 (44.479)	Prec@5 78.906 (75.196)
Epoch: [37][820/14090]	Time 0.794 (0.776)	Data 0.001 (0.007)	Loss 2.4887 (2.2025)	Prec@1 38.281 (44.496)	Prec@5 69.531 (75.177)
Epoch: [37][830/14090]	Time 0.744 (0.776)	Data 0.001 (0.007)	Loss 2.3325 (2.2019)	Prec@1 42.969 (44.512)	Prec@5 69.531 (75.195)
Epoch: [37][840/14090]	Time 0.756 (0.776)	Data 0.001 (0.006)	Loss 2.2192 (2.2023)	Prec@1 44.531 (44.518)	Prec@5 75.000 (75.203)
Epoch: [37][850/14090]	Time 0.746 (0.776)	Data 0.001 (0.006)	Loss 2.2481 (2.2029)	Prec@1 39.062 (44.504)	Prec@5 72.656 (75.187)
Epoch: [37][860/14090]	Time 0.758 (0.776)	Data 0.001 (0.006)	Loss 2.0362 (2.2032)	Prec@1 47.656 (44.499)	Prec@5 80.469 (75.191)
Epoch: [37][870/14090]	Time 0.749 (0.776)	Data 0.001 (0.006)	Loss 1.8075 (2.2023)	Prec@1 46.094 (44.494)	Prec@5 81.250 (75.213)
Epoch: [37][880/14090]	Time 0.888 (0.776)	Data 0.001 (0.006)	Loss 2.1032 (2.2013)	Prec@1 43.750 (44.512)	Prec@5 72.656 (75.225)
Epoch: [37][890/14090]	Time 0.731 (0.776)	Data 0.001 (0.006)	Loss 2.2224 (2.2031)	Prec@1 37.500 (44.475)	Prec@5 73.438 (75.179)
Epoch: [37][900/14090]	Time 0.725 (0.776)	Data 0.001 (0.006)	Loss 2.1670 (2.2028)	Prec@1 46.875 (44.489)	Prec@5 76.562 (75.189)
Epoch: [37][910/14090]	Time 0.750 (0.776)	Data 0.001 (0.006)	Loss 2.5339 (2.2031)	Prec@1 34.375 (44.486)	Prec@5 70.312 (75.186)
Epoch: [37][920/14090]	Time 0.763 (0.776)	Data 0.001 (0.006)	Loss 2.1111 (2.2034)	Prec@1 46.875 (44.501)	Prec@5 76.562 (75.187)
Epoch: [37][930/14090]	Time 0.762 (0.776)	Data 0.001 (0.006)	Loss 2.0502 (2.2035)	Prec@1 44.531 (44.499)	Prec@5 75.000 (75.176)
Epoch: [37][940/14090]	Time 0.752 (0.776)	Data 0.001 (0.006)	Loss 2.2828 (2.2024)	Prec@1 37.500 (44.513)	Prec@5 78.906 (75.193)
Epoch: [37][950/14090]	Time 0.868 (0.776)	Data 0.001 (0.006)	Loss 2.0536 (2.2019)	Prec@1 53.125 (44.541)	Prec@5 77.344 (75.199)
Epoch: [37][960/14090]	Time 0.778 (0.776)	Data 0.001 (0.006)	Loss 2.2315 (2.2021)	Prec@1 39.844 (44.545)	Prec@5 73.438 (75.192)
Epoch: [37][970/14090]	Time 0.743 (0.776)	Data 0.001 (0.006)	Loss 2.0478 (2.2019)	Prec@1 43.750 (44.552)	Prec@5 82.812 (75.196)
Epoch: [37][980/14090]	Time 0.757 (0.776)	Data 0.001 (0.006)	Loss 2.0674 (2.2011)	Prec@1 48.438 (44.590)	Prec@5 76.562 (75.200)
Epoch: [37][990/14090]	Time 0.753 (0.776)	Data 0.001 (0.006)	Loss 2.6193 (2.2012)	Prec@1 33.594 (44.588)	Prec@5 64.844 (75.190)
Epoch: [37][1000/14090]	Time 0.774 (0.776)	Data 0.001 (0.006)	Loss 2.1342 (2.2007)	Prec@1 52.344 (44.600)	Prec@5 73.438 (75.177)
Epoch: [37][1010/14090]	Time 0.742 (0.776)	Data 0.001 (0.006)	Loss 2.1869 (2.2007)	Prec@1 45.312 (44.619)	Prec@5 73.438 (75.180)
Epoch: [37][1020/14090]	Time 0.911 (0.776)	Data 0.001 (0.005)	Loss 2.2795 (2.2010)	Prec@1 40.625 (44.601)	Prec@5 75.000 (75.174)
Epoch: [37][1030/14090]	Time 0.725 (0.775)	Data 0.001 (0.005)	Loss 2.3177 (2.2019)	Prec@1 39.844 (44.570)	Prec@5 71.875 (75.149)
Epoch: [37][1040/14090]	Time 0.742 (0.775)	Data 0.001 (0.005)	Loss 2.1234 (2.2021)	Prec@1 39.844 (44.561)	Prec@5 73.438 (75.143)
Epoch: [37][1050/14090]	Time 0.735 (0.775)	Data 0.001 (0.005)	Loss 2.4425 (2.2024)	Prec@1 43.750 (44.559)	Prec@5 73.438 (75.142)
Epoch: [37][1060/14090]	Time 0.752 (0.775)	Data 0.001 (0.005)	Loss 2.2605 (2.2018)	Prec@1 42.969 (44.571)	Prec@5 73.438 (75.149)
Epoch: [37][1070/14090]	Time 0.762 (0.775)	Data 0.001 (0.005)	Loss 2.1007 (2.2026)	Prec@1 47.656 (44.563)	Prec@5 72.656 (75.128)
Epoch: [37][1080/14090]	Time 0.740 (0.775)	Data 0.001 (0.005)	Loss 1.9700 (2.2025)	Prec@1 53.906 (44.560)	Prec@5 81.250 (75.126)
Epoch: [37][1090/14090]	Time 0.857 (0.775)	Data 0.001 (0.005)	Loss 2.2131 (2.2028)	Prec@1 45.312 (44.538)	Prec@5 75.000 (75.123)
Epoch: [37][1100/14090]	Time 0.742 (0.775)	Data 0.001 (0.005)	Loss 2.2572 (2.2028)	Prec@1 43.750 (44.529)	Prec@5 71.094 (75.138)
Epoch: [37][1110/14090]	Time 0.754 (0.775)	Data 0.001 (0.005)	Loss 2.5430 (2.2040)	Prec@1 42.188 (44.505)	Prec@5 69.531 (75.110)
Epoch: [37][1120/14090]	Time 0.763 (0.775)	Data 0.001 (0.005)	Loss 2.3310 (2.2037)	Prec@1 42.188 (44.506)	Prec@5 75.781 (75.128)
Epoch: [37][1130/14090]	Time 0.742 (0.774)	Data 0.001 (0.005)	Loss 2.1087 (2.2033)	Prec@1 48.438 (44.519)	Prec@5 79.688 (75.131)
Epoch: [37][1140/14090]	Time 0.761 (0.774)	Data 0.001 (0.005)	Loss 2.2778 (2.2043)	Prec@1 39.844 (44.494)	Prec@5 73.438 (75.110)
Epoch: [37][1150/14090]	Time 0.734 (0.774)	Data 0.001 (0.005)	Loss 2.1128 (2.2047)	Prec@1 47.656 (44.491)	Prec@5 78.125 (75.105)
Epoch: [37][1160/14090]	Time 0.848 (0.774)	Data 0.001 (0.005)	Loss 2.1404 (2.2049)	Prec@1 44.531 (44.477)	Prec@5 79.688 (75.104)
Epoch: [37][1170/14090]	Time 0.732 (0.774)	Data 0.001 (0.005)	Loss 2.3037 (2.2050)	Prec@1 40.625 (44.472)	Prec@5 71.875 (75.092)
Epoch: [37][1180/14090]	Time 0.734 (0.774)	Data 0.001 (0.005)	Loss 2.6899 (2.2050)	Prec@1 35.938 (44.474)	Prec@5 69.531 (75.101)
Epoch: [37][1190/14090]	Time 0.794 (0.774)	Data 0.001 (0.005)	Loss 2.0490 (2.2050)	Prec@1 50.000 (44.474)	Prec@5 73.438 (75.092)
Epoch: [37][1200/14090]	Time 0.734 (0.774)	Data 0.001 (0.005)	Loss 2.4768 (2.2056)	Prec@1 35.938 (44.470)	Prec@5 66.406 (75.076)
Epoch: [37][1210/14090]	Time 0.736 (0.774)	Data 0.001 (0.005)	Loss 2.0731 (2.2055)	Prec@1 52.344 (44.488)	Prec@5 75.781 (75.086)
Epoch: [37][1220/14090]	Time 0.738 (0.774)	Data 0.001 (0.005)	Loss 2.3672 (2.2057)	Prec@1 42.969 (44.492)	Prec@5 73.438 (75.088)
Epoch: [37][1230/14090]	Time 0.848 (0.774)	Data 0.001 (0.005)	Loss 2.0042 (2.2053)	Prec@1 46.094 (44.504)	Prec@5 82.031 (75.098)
Epoch: [37][1240/14090]	Time 0.750 (0.774)	Data 0.001 (0.005)	Loss 2.1368 (2.2051)	Prec@1 46.094 (44.496)	Prec@5 77.344 (75.109)
Epoch: [37][1250/14090]	Time 0.774 (0.774)	Data 0.001 (0.005)	Loss 2.2069 (2.2055)	Prec@1 46.875 (44.491)	Prec@5 73.438 (75.090)
Epoch: [37][1260/14090]	Time 0.728 (0.774)	Data 0.002 (0.005)	Loss 2.3119 (2.2053)	Prec@1 42.969 (44.497)	Prec@5 77.344 (75.096)
Epoch: [37][1270/14090]	Time 0.763 (0.774)	Data 0.001 (0.005)	Loss 2.0542 (2.2055)	Prec@1 44.531 (44.489)	Prec@5 76.562 (75.091)
Epoch: [37][1280/14090]	Time 0.778 (0.774)	Data 0.001 (0.005)	Loss 1.9469 (2.2054)	Prec@1 48.438 (44.493)	Prec@5 83.594 (75.091)
Epoch: [37][1290/14090]	Time 0.768 (0.774)	Data 0.001 (0.004)	Loss 2.2794 (2.2053)	Prec@1 43.750 (44.480)	Prec@5 72.656 (75.087)
Epoch: [37][1300/14090]	Time 0.890 (0.774)	Data 0.001 (0.004)	Loss 2.1465 (2.2048)	Prec@1 43.750 (44.501)	Prec@5 74.219 (75.094)
Epoch: [37][1310/14090]	Time 0.733 (0.774)	Data 0.001 (0.004)	Loss 2.1376 (2.2043)	Prec@1 40.625 (44.497)	Prec@5 78.906 (75.112)
Epoch: [37][1320/14090]	Time 0.756 (0.773)	Data 0.001 (0.004)	Loss 2.0684 (2.2040)	Prec@1 42.188 (44.505)	Prec@5 78.125 (75.121)
Epoch: [37][1330/14090]	Time 0.747 (0.773)	Data 0.001 (0.004)	Loss 2.0467 (2.2038)	Prec@1 44.531 (44.507)	Prec@5 79.688 (75.115)
Epoch: [37][1340/14090]	Time 0.743 (0.773)	Data 0.001 (0.004)	Loss 2.2323 (2.2040)	Prec@1 42.188 (44.505)	Prec@5 79.688 (75.110)
Epoch: [37][1350/14090]	Time 0.771 (0.773)	Data 0.001 (0.004)	Loss 2.2079 (2.2041)	Prec@1 43.750 (44.497)	Prec@5 73.438 (75.114)
Epoch: [37][1360/14090]	Time 0.732 (0.773)	Data 0.001 (0.004)	Loss 2.1260 (2.2041)	Prec@1 47.656 (44.489)	Prec@5 78.125 (75.123)
Epoch: [37][1370/14090]	Time 0.907 (0.773)	Data 0.001 (0.004)	Loss 2.4620 (2.2047)	Prec@1 38.281 (44.485)	Prec@5 67.188 (75.106)
Epoch: [37][1380/14090]	Time 0.745 (0.773)	Data 0.001 (0.004)	Loss 2.3598 (2.2046)	Prec@1 42.188 (44.490)	Prec@5 73.438 (75.117)
Epoch: [37][1390/14090]	Time 0.745 (0.773)	Data 0.001 (0.004)	Loss 2.5174 (2.2050)	Prec@1 38.281 (44.477)	Prec@5 67.969 (75.107)
Epoch: [37][1400/14090]	Time 0.784 (0.773)	Data 0.001 (0.004)	Loss 2.0784 (2.2047)	Prec@1 44.531 (44.487)	Prec@5 76.562 (75.103)
Epoch: [37][1410/14090]	Time 0.724 (0.773)	Data 0.001 (0.004)	Loss 2.3570 (2.2048)	Prec@1 43.750 (44.492)	Prec@5 73.438 (75.109)
Epoch: [37][1420/14090]	Time 0.761 (0.773)	Data 0.001 (0.004)	Loss 2.1948 (2.2050)	Prec@1 47.656 (44.494)	Prec@5 73.438 (75.107)
Epoch: [37][1430/14090]	Time 0.744 (0.773)	Data 0.001 (0.004)	Loss 2.4092 (2.2052)	Prec@1 42.188 (44.503)	Prec@5 70.312 (75.101)
Epoch: [37][1440/14090]	Time 0.874 (0.773)	Data 0.001 (0.004)	Loss 2.1012 (2.2056)	Prec@1 50.781 (44.497)	Prec@5 76.562 (75.097)
Epoch: [37][1450/14090]	Time 0.751 (0.773)	Data 0.001 (0.004)	Loss 2.0277 (2.2054)	Prec@1 50.000 (44.495)	Prec@5 80.469 (75.110)
Epoch: [37][1460/14090]	Time 0.751 (0.773)	Data 0.001 (0.004)	Loss 2.4429 (2.2055)	Prec@1 32.031 (44.488)	Prec@5 69.531 (75.105)
Epoch: [37][1470/14090]	Time 0.739 (0.773)	Data 0.001 (0.004)	Loss 1.9326 (2.2051)	Prec@1 50.781 (44.498)	Prec@5 76.562 (75.113)
Epoch: [37][1480/14090]	Time 0.781 (0.773)	Data 0.001 (0.004)	Loss 2.2409 (2.2049)	Prec@1 46.094 (44.504)	Prec@5 74.219 (75.113)
Epoch: [37][1490/14090]	Time 0.756 (0.773)	Data 0.001 (0.004)	Loss 2.1919 (2.2047)	Prec@1 46.875 (44.490)	Prec@5 76.562 (75.118)
Epoch: [37][1500/14090]	Time 0.766 (0.773)	Data 0.001 (0.004)	Loss 2.1229 (2.2045)	Prec@1 48.438 (44.503)	Prec@5 75.781 (75.117)
Epoch: [37][1510/14090]	Time 0.854 (0.773)	Data 0.001 (0.004)	Loss 2.1762 (2.2045)	Prec@1 49.219 (44.492)	Prec@5 77.344 (75.125)
Epoch: [37][1520/14090]	Time 0.747 (0.773)	Data 0.001 (0.004)	Loss 2.3075 (2.2044)	Prec@1 42.188 (44.503)	Prec@5 78.906 (75.127)
Epoch: [37][1530/14090]	Time 0.742 (0.773)	Data 0.001 (0.004)	Loss 2.0754 (2.2043)	Prec@1 49.219 (44.513)	Prec@5 75.000 (75.132)
Epoch: [37][1540/14090]	Time 0.755 (0.773)	Data 0.001 (0.004)	Loss 1.9346 (2.2048)	Prec@1 53.125 (44.497)	Prec@5 80.469 (75.125)
Epoch: [37][1550/14090]	Time 0.726 (0.773)	Data 0.001 (0.004)	Loss 2.1383 (2.2055)	Prec@1 42.969 (44.498)	Prec@5 73.438 (75.115)
Epoch: [37][1560/14090]	Time 0.732 (0.773)	Data 0.001 (0.004)	Loss 2.4062 (2.2054)	Prec@1 43.750 (44.510)	Prec@5 77.344 (75.128)
Epoch: [37][1570/14090]	Time 0.739 (0.773)	Data 0.001 (0.004)	Loss 2.1261 (2.2058)	Prec@1 46.094 (44.498)	Prec@5 75.000 (75.124)
Epoch: [37][1580/14090]	Time 0.895 (0.773)	Data 0.001 (0.004)	Loss 2.3422 (2.2058)	Prec@1 39.062 (44.496)	Prec@5 75.781 (75.126)
Epoch: [37][1590/14090]	Time 0.728 (0.773)	Data 0.001 (0.004)	Loss 1.9636 (2.2064)	Prec@1 49.219 (44.487)	Prec@5 82.031 (75.118)
Epoch: [37][1600/14090]	Time 0.752 (0.773)	Data 0.001 (0.004)	Loss 2.3996 (2.2069)	Prec@1 37.500 (44.477)	Prec@5 75.000 (75.117)
Epoch: [37][1610/14090]	Time 0.751 (0.773)	Data 0.001 (0.004)	Loss 2.1612 (2.2075)	Prec@1 46.875 (44.473)	Prec@5 75.781 (75.104)
Epoch: [37][1620/14090]	Time 0.749 (0.772)	Data 0.001 (0.004)	Loss 2.0293 (2.2076)	Prec@1 54.688 (44.478)	Prec@5 79.688 (75.100)
Epoch: [37][1630/14090]	Time 0.763 (0.772)	Data 0.001 (0.004)	Loss 2.4474 (2.2079)	Prec@1 42.188 (44.472)	Prec@5 69.531 (75.089)
Epoch: [37][1640/14090]	Time 0.769 (0.772)	Data 0.001 (0.004)	Loss 2.6071 (2.2085)	Prec@1 37.500 (44.458)	Prec@5 66.406 (75.074)
Epoch: [37][1650/14090]	Time 0.831 (0.772)	Data 0.001 (0.004)	Loss 2.3912 (2.2084)	Prec@1 45.312 (44.452)	Prec@5 70.312 (75.075)
Epoch: [37][1660/14090]	Time 0.784 (0.772)	Data 0.001 (0.004)	Loss 2.2956 (2.2090)	Prec@1 39.062 (44.442)	Prec@5 74.219 (75.058)
Epoch: [37][1670/14090]	Time 0.748 (0.772)	Data 0.001 (0.004)	Loss 2.0290 (2.2092)	Prec@1 49.219 (44.435)	Prec@5 82.031 (75.062)
Epoch: [37][1680/14090]	Time 0.752 (0.772)	Data 0.001 (0.004)	Loss 2.1400 (2.2086)	Prec@1 46.094 (44.455)	Prec@5 79.688 (75.076)
Epoch: [37][1690/14090]	Time 0.729 (0.772)	Data 0.001 (0.004)	Loss 2.2437 (2.2086)	Prec@1 39.844 (44.455)	Prec@5 74.219 (75.079)
Epoch: [37][1700/14090]	Time 0.757 (0.772)	Data 0.001 (0.004)	Loss 1.9755 (2.2083)	Prec@1 50.781 (44.463)	Prec@5 80.469 (75.088)
Epoch: [37][1710/14090]	Time 0.738 (0.772)	Data 0.001 (0.004)	Loss 2.0402 (2.2087)	Prec@1 46.094 (44.459)	Prec@5 78.125 (75.079)
Epoch: [37][1720/14090]	Time 0.876 (0.772)	Data 0.001 (0.004)	Loss 2.2701 (2.2089)	Prec@1 36.719 (44.446)	Prec@5 71.875 (75.076)
Epoch: [37][1730/14090]	Time 0.767 (0.772)	Data 0.001 (0.004)	Loss 2.2659 (2.2092)	Prec@1 42.969 (44.421)	Prec@5 71.094 (75.070)
Epoch: [37][1740/14090]	Time 0.756 (0.772)	Data 0.001 (0.004)	Loss 2.0788 (2.2089)	Prec@1 40.625 (44.428)	Prec@5 78.906 (75.077)
Epoch: [37][1750/14090]	Time 0.720 (0.772)	Data 0.001 (0.004)	Loss 2.2462 (2.2091)	Prec@1 43.750 (44.429)	Prec@5 73.438 (75.074)
Epoch: [37][1760/14090]	Time 0.741 (0.772)	Data 0.001 (0.004)	Loss 2.2641 (2.2097)	Prec@1 43.750 (44.430)	Prec@5 75.781 (75.067)
Epoch: [37][1770/14090]	Time 0.739 (0.772)	Data 0.001 (0.003)	Loss 2.3255 (2.2093)	Prec@1 39.062 (44.439)	Prec@5 71.875 (75.068)
Epoch: [37][1780/14090]	Time 0.741 (0.772)	Data 0.001 (0.003)	Loss 2.5017 (2.2091)	Prec@1 43.750 (44.443)	Prec@5 69.531 (75.071)
Epoch: [37][1790/14090]	Time 0.844 (0.772)	Data 0.001 (0.003)	Loss 1.9318 (2.2087)	Prec@1 49.219 (44.448)	Prec@5 83.594 (75.079)
Epoch: [37][1800/14090]	Time 0.746 (0.772)	Data 0.001 (0.003)	Loss 2.4575 (2.2090)	Prec@1 42.188 (44.436)	Prec@5 69.531 (75.074)
Epoch: [37][1810/14090]	Time 0.732 (0.772)	Data 0.001 (0.003)	Loss 2.2092 (2.2087)	Prec@1 46.875 (44.437)	Prec@5 77.344 (75.077)
Epoch: [37][1820/14090]	Time 0.760 (0.772)	Data 0.001 (0.003)	Loss 2.1027 (2.2089)	Prec@1 44.531 (44.425)	Prec@5 75.000 (75.074)
Epoch: [37][1830/14090]	Time 0.752 (0.772)	Data 0.001 (0.003)	Loss 2.1770 (2.2085)	Prec@1 42.969 (44.428)	Prec@5 76.562 (75.083)
Epoch: [37][1840/14090]	Time 0.741 (0.772)	Data 0.001 (0.003)	Loss 2.3479 (2.2090)	Prec@1 44.531 (44.426)	Prec@5 73.438 (75.077)
Epoch: [37][1850/14090]	Time 0.746 (0.772)	Data 0.001 (0.003)	Loss 2.3036 (2.2087)	Prec@1 36.719 (44.437)	Prec@5 71.875 (75.080)
Epoch: [37][1860/14090]	Time 0.900 (0.772)	Data 0.001 (0.003)	Loss 2.3191 (2.2090)	Prec@1 46.094 (44.427)	Prec@5 73.438 (75.071)
Epoch: [37][1870/14090]	Time 0.752 (0.772)	Data 0.001 (0.003)	Loss 2.2104 (2.2088)	Prec@1 42.969 (44.434)	Prec@5 76.562 (75.071)
Epoch: [37][1880/14090]	Time 0.739 (0.772)	Data 0.001 (0.003)	Loss 2.2011 (2.2090)	Prec@1 41.406 (44.423)	Prec@5 68.750 (75.066)
Epoch: [37][1890/14090]	Time 0.731 (0.772)	Data 0.001 (0.003)	Loss 2.1943 (2.2083)	Prec@1 47.656 (44.432)	Prec@5 77.344 (75.077)
Epoch: [37][1900/14090]	Time 0.776 (0.772)	Data 0.003 (0.003)	Loss 2.0332 (2.2081)	Prec@1 49.219 (44.432)	Prec@5 76.562 (75.083)
Epoch: [37][1910/14090]	Time 0.756 (0.772)	Data 0.001 (0.003)	Loss 2.4559 (2.2082)	Prec@1 44.531 (44.434)	Prec@5 72.656 (75.085)
Epoch: [37][1920/14090]	Time 0.768 (0.772)	Data 0.001 (0.003)	Loss 2.0094 (2.2081)	Prec@1 50.000 (44.436)	Prec@5 79.688 (75.087)
Epoch: [37][1930/14090]	Time 0.834 (0.772)	Data 0.001 (0.003)	Loss 2.4467 (2.2085)	Prec@1 38.281 (44.431)	Prec@5 69.531 (75.078)
Epoch: [37][1940/14090]	Time 0.742 (0.772)	Data 0.001 (0.003)	Loss 2.3322 (2.2090)	Prec@1 42.969 (44.427)	Prec@5 70.312 (75.071)
Epoch: [37][1950/14090]	Time 0.792 (0.772)	Data 0.001 (0.003)	Loss 2.0933 (2.2088)	Prec@1 50.000 (44.439)	Prec@5 76.562 (75.078)
Epoch: [37][1960/14090]	Time 0.766 (0.772)	Data 0.001 (0.003)	Loss 1.9654 (2.2089)	Prec@1 53.125 (44.440)	Prec@5 78.906 (75.082)
Epoch: [37][1970/14090]	Time 0.739 (0.772)	Data 0.001 (0.003)	Loss 2.0716 (2.2090)	Prec@1 47.656 (44.434)	Prec@5 76.562 (75.081)
Epoch: [37][1980/14090]	Time 0.747 (0.772)	Data 0.001 (0.003)	Loss 2.3473 (2.2094)	Prec@1 39.844 (44.424)	Prec@5 71.875 (75.077)
Epoch: [37][1990/14090]	Time 0.751 (0.772)	Data 0.001 (0.003)	Loss 2.2205 (2.2093)	Prec@1 45.312 (44.428)	Prec@5 80.469 (75.082)
Epoch: [37][2000/14090]	Time 0.873 (0.772)	Data 0.001 (0.003)	Loss 2.0268 (2.2098)	Prec@1 45.312 (44.419)	Prec@5 75.781 (75.073)
Epoch: [37][2010/14090]	Time 0.768 (0.771)	Data 0.001 (0.003)	Loss 2.3201 (2.2101)	Prec@1 39.844 (44.414)	Prec@5 75.000 (75.068)
Epoch: [37][2020/14090]	Time 0.759 (0.771)	Data 0.001 (0.003)	Loss 2.1706 (2.2102)	Prec@1 46.094 (44.421)	Prec@5 73.438 (75.063)
Epoch: [37][2030/14090]	Time 0.751 (0.771)	Data 0.001 (0.003)	Loss 2.3110 (2.2100)	Prec@1 43.750 (44.420)	Prec@5 77.344 (75.070)
Epoch: [37][2040/14090]	Time 0.744 (0.771)	Data 0.001 (0.003)	Loss 2.2851 (2.2103)	Prec@1 42.188 (44.409)	Prec@5 73.438 (75.063)
Epoch: [37][2050/14090]	Time 0.751 (0.771)	Data 0.001 (0.003)	Loss 1.9624 (2.2102)	Prec@1 57.031 (44.406)	Prec@5 80.469 (75.068)
Epoch: [37][2060/14090]	Time 0.756 (0.771)	Data 0.001 (0.003)	Loss 2.1330 (2.2108)	Prec@1 42.969 (44.391)	Prec@5 76.562 (75.054)
Epoch: [37][2070/14090]	Time 0.827 (0.771)	Data 0.001 (0.003)	Loss 2.3630 (2.2106)	Prec@1 41.406 (44.390)	Prec@5 67.188 (75.058)
Epoch: [37][2080/14090]	Time 0.739 (0.771)	Data 0.001 (0.003)	Loss 2.0350 (2.2104)	Prec@1 52.344 (44.402)	Prec@5 76.562 (75.066)
Epoch: [37][2090/14090]	Time 0.774 (0.771)	Data 0.001 (0.003)	Loss 2.3516 (2.2106)	Prec@1 45.312 (44.395)	Prec@5 68.750 (75.061)
Epoch: [37][2100/14090]	Time 0.734 (0.771)	Data 0.001 (0.003)	Loss 2.1419 (2.2104)	Prec@1 47.656 (44.402)	Prec@5 75.781 (75.064)
Epoch: [37][2110/14090]	Time 0.751 (0.771)	Data 0.001 (0.003)	Loss 2.1315 (2.2104)	Prec@1 46.094 (44.399)	Prec@5 74.219 (75.061)
Epoch: [37][2120/14090]	Time 0.756 (0.771)	Data 0.001 (0.003)	Loss 2.3113 (2.2104)	Prec@1 42.969 (44.399)	Prec@5 75.781 (75.062)
Epoch: [37][2130/14090]	Time 0.730 (0.771)	Data 0.001 (0.003)	Loss 2.3520 (2.2105)	Prec@1 44.531 (44.406)	Prec@5 72.656 (75.056)
Epoch: [37][2140/14090]	Time 0.871 (0.771)	Data 0.001 (0.003)	Loss 2.0449 (2.2104)	Prec@1 49.219 (44.409)	Prec@5 78.906 (75.065)
Epoch: [37][2150/14090]	Time 0.727 (0.771)	Data 0.001 (0.003)	Loss 2.3543 (2.2104)	Prec@1 38.281 (44.407)	Prec@5 71.875 (75.064)
Epoch: [37][2160/14090]	Time 0.743 (0.771)	Data 0.001 (0.003)	Loss 1.8732 (2.2103)	Prec@1 46.875 (44.405)	Prec@5 82.031 (75.062)
Epoch: [37][2170/14090]	Time 0.747 (0.771)	Data 0.001 (0.003)	Loss 2.2358 (2.2104)	Prec@1 38.281 (44.400)	Prec@5 71.875 (75.055)
Epoch: [37][2180/14090]	Time 0.772 (0.771)	Data 0.001 (0.003)	Loss 2.2555 (2.2107)	Prec@1 41.406 (44.395)	Prec@5 75.781 (75.048)
Epoch: [37][2190/14090]	Time 0.737 (0.771)	Data 0.001 (0.003)	Loss 2.2330 (2.2108)	Prec@1 46.094 (44.399)	Prec@5 71.875 (75.045)
Epoch: [37][2200/14090]	Time 0.732 (0.771)	Data 0.001 (0.003)	Loss 2.2377 (2.2107)	Prec@1 46.875 (44.401)	Prec@5 75.000 (75.055)
Epoch: [37][2210/14090]	Time 0.872 (0.771)	Data 0.001 (0.003)	Loss 2.2392 (2.2109)	Prec@1 40.625 (44.388)	Prec@5 67.969 (75.047)
Epoch: [37][2220/14090]	Time 0.729 (0.771)	Data 0.001 (0.003)	Loss 2.0998 (2.2104)	Prec@1 42.188 (44.393)	Prec@5 75.000 (75.052)
Epoch: [37][2230/14090]	Time 0.773 (0.771)	Data 0.001 (0.003)	Loss 1.9623 (2.2101)	Prec@1 46.875 (44.393)	Prec@5 83.594 (75.058)
Epoch: [37][2240/14090]	Time 0.735 (0.771)	Data 0.001 (0.003)	Loss 2.1340 (2.2102)	Prec@1 46.875 (44.392)	Prec@5 76.562 (75.053)
Epoch: [37][2250/14090]	Time 0.735 (0.771)	Data 0.001 (0.003)	Loss 2.2051 (2.2101)	Prec@1 39.062 (44.389)	Prec@5 75.781 (75.052)
Epoch: [37][2260/14090]	Time 0.769 (0.771)	Data 0.001 (0.003)	Loss 2.2955 (2.2102)	Prec@1 42.969 (44.385)	Prec@5 73.438 (75.050)
Epoch: [37][2270/14090]	Time 0.731 (0.771)	Data 0.001 (0.003)	Loss 2.2625 (2.2098)	Prec@1 44.531 (44.396)	Prec@5 74.219 (75.055)
Epoch: [37][2280/14090]	Time 0.863 (0.771)	Data 0.001 (0.003)	Loss 2.1628 (2.2102)	Prec@1 42.969 (44.390)	Prec@5 75.781 (75.056)
Epoch: [37][2290/14090]	Time 0.743 (0.771)	Data 0.001 (0.003)	Loss 2.2347 (2.2104)	Prec@1 46.875 (44.390)	Prec@5 72.656 (75.054)
Epoch: [37][2300/14090]	Time 0.763 (0.771)	Data 0.001 (0.003)	Loss 2.2239 (2.2108)	Prec@1 41.406 (44.384)	Prec@5 75.781 (75.048)
Epoch: [37][2310/14090]	Time 0.742 (0.771)	Data 0.001 (0.003)	Loss 2.0839 (2.2107)	Prec@1 49.219 (44.379)	Prec@5 75.781 (75.048)
Epoch: [37][2320/14090]	Time 0.739 (0.771)	Data 0.001 (0.003)	Loss 2.1967 (2.2106)	Prec@1 47.656 (44.389)	Prec@5 74.219 (75.049)
Epoch: [37][2330/14090]	Time 0.744 (0.771)	Data 0.001 (0.003)	Loss 2.1383 (2.2109)	Prec@1 46.875 (44.378)	Prec@5 75.781 (75.042)
Epoch: [37][2340/14090]	Time 0.752 (0.771)	Data 0.001 (0.003)	Loss 2.1437 (2.2114)	Prec@1 47.656 (44.365)	Prec@5 78.125 (75.035)
Epoch: [37][2350/14090]	Time 0.882 (0.771)	Data 0.001 (0.003)	Loss 2.0308 (2.2113)	Prec@1 52.344 (44.372)	Prec@5 76.562 (75.033)
Epoch: [37][2360/14090]	Time 0.737 (0.771)	Data 0.001 (0.003)	Loss 2.1125 (2.2116)	Prec@1 50.781 (44.363)	Prec@5 78.125 (75.027)
Epoch: [37][2370/14090]	Time 0.774 (0.771)	Data 0.002 (0.003)	Loss 2.3727 (2.2115)	Prec@1 38.281 (44.361)	Prec@5 70.312 (75.029)
Epoch: [37][2380/14090]	Time 0.758 (0.771)	Data 0.001 (0.003)	Loss 2.2886 (2.2117)	Prec@1 42.969 (44.361)	Prec@5 71.875 (75.025)
Epoch: [37][2390/14090]	Time 0.769 (0.771)	Data 0.001 (0.003)	Loss 2.3930 (2.2120)	Prec@1 44.531 (44.358)	Prec@5 71.094 (75.017)
Epoch: [37][2400/14090]	Time 0.735 (0.771)	Data 0.001 (0.003)	Loss 2.3968 (2.2127)	Prec@1 39.062 (44.344)	Prec@5 70.312 (74.997)
Epoch: [37][2410/14090]	Time 0.766 (0.771)	Data 0.001 (0.003)	Loss 2.2892 (2.2130)	Prec@1 41.406 (44.337)	Prec@5 71.875 (74.992)
Epoch: [37][2420/14090]	Time 1.021 (0.771)	Data 0.001 (0.003)	Loss 2.0983 (2.2131)	Prec@1 48.438 (44.334)	Prec@5 75.781 (74.988)
Epoch: [37][2430/14090]	Time 0.750 (0.771)	Data 0.001 (0.003)	Loss 2.2584 (2.2133)	Prec@1 42.188 (44.331)	Prec@5 73.438 (74.984)
Epoch: [37][2440/14090]	Time 0.739 (0.771)	Data 0.001 (0.003)	Loss 2.1207 (2.2135)	Prec@1 39.062 (44.334)	Prec@5 75.781 (74.980)
Epoch: [37][2450/14090]	Time 0.733 (0.771)	Data 0.001 (0.003)	Loss 2.1109 (2.2137)	Prec@1 42.188 (44.326)	Prec@5 79.688 (74.977)
Epoch: [37][2460/14090]	Time 0.728 (0.771)	Data 0.001 (0.003)	Loss 1.9393 (2.2139)	Prec@1 50.000 (44.318)	Prec@5 81.250 (74.975)
Epoch: [37][2470/14090]	Time 0.743 (0.771)	Data 0.001 (0.003)	Loss 2.5192 (2.2140)	Prec@1 37.500 (44.315)	Prec@5 69.531 (74.972)
Epoch: [37][2480/14090]	Time 0.761 (0.771)	Data 0.001 (0.003)	Loss 2.4683 (2.2143)	Prec@1 33.594 (44.311)	Prec@5 71.094 (74.965)
Epoch: [37][2490/14090]	Time 0.832 (0.771)	Data 0.001 (0.003)	Loss 2.0141 (2.2143)	Prec@1 46.094 (44.310)	Prec@5 78.906 (74.964)
Epoch: [37][2500/14090]	Time 0.747 (0.771)	Data 0.001 (0.003)	Loss 2.5201 (2.2145)	Prec@1 38.281 (44.304)	Prec@5 71.875 (74.957)
Epoch: [37][2510/14090]	Time 0.756 (0.771)	Data 0.002 (0.003)	Loss 2.2833 (2.2145)	Prec@1 48.438 (44.300)	Prec@5 68.750 (74.959)
Epoch: [37][2520/14090]	Time 0.759 (0.771)	Data 0.001 (0.003)	Loss 2.3000 (2.2147)	Prec@1 40.625 (44.296)	Prec@5 75.781 (74.958)
Epoch: [37][2530/14090]	Time 0.735 (0.771)	Data 0.001 (0.003)	Loss 2.3119 (2.2148)	Prec@1 37.500 (44.297)	Prec@5 75.781 (74.956)
Epoch: [37][2540/14090]	Time 0.738 (0.771)	Data 0.001 (0.003)	Loss 2.1816 (2.2149)	Prec@1 40.625 (44.291)	Prec@5 75.781 (74.951)
Epoch: [37][2550/14090]	Time 0.736 (0.771)	Data 0.001 (0.003)	Loss 2.2596 (2.2148)	Prec@1 50.000 (44.297)	Prec@5 73.438 (74.960)
Epoch: [37][2560/14090]	Time 0.847 (0.771)	Data 0.001 (0.003)	Loss 2.2475 (2.2147)	Prec@1 42.969 (44.299)	Prec@5 76.562 (74.962)
Epoch: [37][2570/14090]	Time 0.723 (0.771)	Data 0.001 (0.003)	Loss 2.4126 (2.2150)	Prec@1 42.188 (44.289)	Prec@5 70.312 (74.956)
Epoch: [37][2580/14090]	Time 0.730 (0.771)	Data 0.001 (0.003)	Loss 2.2443 (2.2149)	Prec@1 40.625 (44.292)	Prec@5 76.562 (74.959)
Epoch: [37][2590/14090]	Time 0.769 (0.771)	Data 0.001 (0.003)	Loss 2.2719 (2.2149)	Prec@1 42.969 (44.289)	Prec@5 76.562 (74.958)
Epoch: [37][2600/14090]	Time 0.780 (0.771)	Data 0.001 (0.003)	Loss 2.1849 (2.2153)	Prec@1 40.625 (44.279)	Prec@5 75.000 (74.954)
Epoch: [37][2610/14090]	Time 0.728 (0.771)	Data 0.001 (0.003)	Loss 2.0583 (2.2155)	Prec@1 42.969 (44.275)	Prec@5 75.781 (74.952)
Epoch: [37][2620/14090]	Time 0.745 (0.771)	Data 0.001 (0.003)	Loss 2.2893 (2.2156)	Prec@1 43.750 (44.273)	Prec@5 75.000 (74.952)
Epoch: [37][2630/14090]	Time 0.847 (0.771)	Data 0.001 (0.003)	Loss 2.0652 (2.2156)	Prec@1 46.875 (44.272)	Prec@5 75.781 (74.950)
Epoch: [37][2640/14090]	Time 0.740 (0.771)	Data 0.001 (0.003)	Loss 2.0547 (2.2155)	Prec@1 46.094 (44.273)	Prec@5 75.781 (74.951)
Epoch: [37][2650/14090]	Time 0.760 (0.771)	Data 0.001 (0.003)	Loss 2.0504 (2.2156)	Prec@1 47.656 (44.272)	Prec@5 78.906 (74.950)
Epoch: [37][2660/14090]	Time 0.768 (0.771)	Data 0.001 (0.003)	Loss 2.1895 (2.2159)	Prec@1 43.750 (44.268)	Prec@5 73.438 (74.942)
Epoch: [37][2670/14090]	Time 0.738 (0.771)	Data 0.001 (0.003)	Loss 2.1409 (2.2155)	Prec@1 45.312 (44.276)	Prec@5 81.250 (74.950)
Epoch: [37][2680/14090]	Time 0.750 (0.771)	Data 0.001 (0.003)	Loss 2.5122 (2.2162)	Prec@1 37.500 (44.265)	Prec@5 70.312 (74.937)
Epoch: [37][2690/14090]	Time 0.750 (0.771)	Data 0.001 (0.003)	Loss 2.4680 (2.2160)	Prec@1 41.406 (44.271)	Prec@5 70.312 (74.944)
Epoch: [37][2700/14090]	Time 0.885 (0.771)	Data 0.001 (0.003)	Loss 2.2109 (2.2160)	Prec@1 43.750 (44.267)	Prec@5 75.781 (74.940)
Epoch: [37][2710/14090]	Time 0.739 (0.771)	Data 0.001 (0.003)	Loss 2.1651 (2.2156)	Prec@1 44.531 (44.272)	Prec@5 75.781 (74.948)
Epoch: [37][2720/14090]	Time 0.733 (0.770)	Data 0.001 (0.003)	Loss 1.8018 (2.2155)	Prec@1 53.906 (44.279)	Prec@5 78.906 (74.945)
Epoch: [37][2730/14090]	Time 0.741 (0.770)	Data 0.001 (0.003)	Loss 2.1400 (2.2155)	Prec@1 49.219 (44.280)	Prec@5 71.094 (74.946)
Epoch: [37][2740/14090]	Time 0.759 (0.770)	Data 0.001 (0.003)	Loss 2.0482 (2.2150)	Prec@1 45.312 (44.287)	Prec@5 84.375 (74.957)
Epoch: [37][2750/14090]	Time 0.726 (0.770)	Data 0.001 (0.003)	Loss 2.0926 (2.2151)	Prec@1 46.875 (44.286)	Prec@5 79.688 (74.951)
Epoch: [37][2760/14090]	Time 0.755 (0.770)	Data 0.001 (0.003)	Loss 2.0508 (2.2148)	Prec@1 47.656 (44.294)	Prec@5 78.906 (74.957)
Epoch: [37][2770/14090]	Time 0.836 (0.770)	Data 0.001 (0.003)	Loss 1.8811 (2.2145)	Prec@1 50.781 (44.293)	Prec@5 78.906 (74.968)
Epoch: [37][2780/14090]	Time 0.767 (0.770)	Data 0.001 (0.003)	Loss 2.0289 (2.2147)	Prec@1 46.875 (44.286)	Prec@5 76.562 (74.961)
Epoch: [37][2790/14090]	Time 0.732 (0.770)	Data 0.001 (0.003)	Loss 2.2943 (2.2148)	Prec@1 40.625 (44.283)	Prec@5 71.875 (74.957)
Epoch: [37][2800/14090]	Time 0.776 (0.770)	Data 0.001 (0.003)	Loss 2.2962 (2.2149)	Prec@1 41.406 (44.281)	Prec@5 72.656 (74.953)
Epoch: [37][2810/14090]	Time 0.750 (0.770)	Data 0.001 (0.002)	Loss 2.1473 (2.2152)	Prec@1 47.656 (44.278)	Prec@5 71.094 (74.944)
Epoch: [37][2820/14090]	Time 0.770 (0.770)	Data 0.001 (0.002)	Loss 2.5200 (2.2154)	Prec@1 39.062 (44.274)	Prec@5 69.531 (74.942)
Epoch: [37][2830/14090]	Time 0.771 (0.770)	Data 0.001 (0.002)	Loss 2.2888 (2.2159)	Prec@1 39.844 (44.261)	Prec@5 77.344 (74.942)
Epoch: [37][2840/14090]	Time 0.871 (0.770)	Data 0.001 (0.002)	Loss 1.9882 (2.2156)	Prec@1 50.000 (44.271)	Prec@5 81.250 (74.946)
Epoch: [37][2850/14090]	Time 0.725 (0.770)	Data 0.001 (0.002)	Loss 1.9317 (2.2153)	Prec@1 46.875 (44.273)	Prec@5 78.906 (74.951)
Epoch: [37][2860/14090]	Time 0.785 (0.770)	Data 0.001 (0.002)	Loss 2.3087 (2.2155)	Prec@1 40.625 (44.269)	Prec@5 71.094 (74.946)
Epoch: [37][2870/14090]	Time 0.752 (0.770)	Data 0.001 (0.002)	Loss 2.0427 (2.2156)	Prec@1 49.219 (44.269)	Prec@5 75.000 (74.943)
Epoch: [37][2880/14090]	Time 0.758 (0.770)	Data 0.001 (0.002)	Loss 2.0602 (2.2156)	Prec@1 53.906 (44.273)	Prec@5 76.562 (74.941)
Epoch: [37][2890/14090]	Time 0.747 (0.770)	Data 0.001 (0.002)	Loss 2.2041 (2.2156)	Prec@1 42.969 (44.273)	Prec@5 73.438 (74.943)
Epoch: [37][2900/14090]	Time 0.754 (0.770)	Data 0.001 (0.002)	Loss 2.3252 (2.2158)	Prec@1 46.094 (44.275)	Prec@5 72.656 (74.941)
Epoch: [37][2910/14090]	Time 0.869 (0.770)	Data 0.001 (0.002)	Loss 2.1779 (2.2158)	Prec@1 45.312 (44.273)	Prec@5 77.344 (74.939)
Epoch: [37][2920/14090]	Time 0.789 (0.770)	Data 0.001 (0.002)	Loss 2.4278 (2.2158)	Prec@1 42.969 (44.274)	Prec@5 69.531 (74.936)
Epoch: [37][2930/14090]	Time 0.725 (0.770)	Data 0.001 (0.002)	Loss 2.1568 (2.2159)	Prec@1 49.219 (44.270)	Prec@5 72.656 (74.936)
Epoch: [37][2940/14090]	Time 0.749 (0.770)	Data 0.001 (0.002)	Loss 1.9777 (2.2159)	Prec@1 52.344 (44.273)	Prec@5 84.375 (74.940)
Epoch: [37][2950/14090]	Time 0.775 (0.770)	Data 0.001 (0.002)	Loss 2.1150 (2.2158)	Prec@1 47.656 (44.280)	Prec@5 74.219 (74.941)
Epoch: [37][2960/14090]	Time 0.759 (0.770)	Data 0.001 (0.002)	Loss 2.1932 (2.2155)	Prec@1 48.438 (44.289)	Prec@5 73.438 (74.942)
Epoch: [37][2970/14090]	Time 0.743 (0.770)	Data 0.001 (0.002)	Loss 2.0347 (2.2153)	Prec@1 52.344 (44.295)	Prec@5 78.125 (74.947)
Epoch: [37][2980/14090]	Time 0.879 (0.770)	Data 0.001 (0.002)	Loss 2.1859 (2.2151)	Prec@1 42.969 (44.302)	Prec@5 73.438 (74.949)
Epoch: [37][2990/14090]	Time 0.719 (0.770)	Data 0.001 (0.002)	Loss 1.9706 (2.2152)	Prec@1 51.562 (44.291)	Prec@5 78.125 (74.947)
Epoch: [37][3000/14090]	Time 0.747 (0.770)	Data 0.001 (0.002)	Loss 2.1082 (2.2151)	Prec@1 49.219 (44.295)	Prec@5 80.469 (74.949)
Epoch: [37][3010/14090]	Time 0.737 (0.770)	Data 0.001 (0.002)	Loss 2.2790 (2.2153)	Prec@1 42.969 (44.289)	Prec@5 71.875 (74.940)
Epoch: [37][3020/14090]	Time 0.740 (0.770)	Data 0.001 (0.002)	Loss 2.1844 (2.2152)	Prec@1 42.969 (44.290)	Prec@5 76.562 (74.944)
Epoch: [37][3030/14090]	Time 0.744 (0.770)	Data 0.001 (0.002)	Loss 2.2769 (2.2151)	Prec@1 42.188 (44.294)	Prec@5 71.875 (74.946)
Epoch: [37][3040/14090]	Time 0.753 (0.770)	Data 0.001 (0.002)	Loss 2.1238 (2.2152)	Prec@1 46.094 (44.295)	Prec@5 75.781 (74.941)
Epoch: [37][3050/14090]	Time 0.896 (0.770)	Data 0.001 (0.002)	Loss 1.9483 (2.2153)	Prec@1 43.750 (44.295)	Prec@5 80.469 (74.941)
Epoch: [37][3060/14090]	Time 0.749 (0.770)	Data 0.001 (0.002)	Loss 2.2654 (2.2152)	Prec@1 46.875 (44.298)	Prec@5 70.312 (74.941)
Epoch: [37][3070/14090]	Time 0.759 (0.770)	Data 0.001 (0.002)	Loss 2.1598 (2.2154)	Prec@1 48.438 (44.297)	Prec@5 73.438 (74.939)
Epoch: [37][3080/14090]	Time 0.756 (0.770)	Data 0.001 (0.002)	Loss 1.9729 (2.2153)	Prec@1 44.531 (44.301)	Prec@5 77.344 (74.941)
Epoch: [37][3090/14090]	Time 0.760 (0.770)	Data 0.001 (0.002)	Loss 2.1488 (2.2154)	Prec@1 46.875 (44.296)	Prec@5 77.344 (74.936)
Epoch: [37][3100/14090]	Time 0.732 (0.770)	Data 0.001 (0.002)	Loss 2.1615 (2.2154)	Prec@1 50.781 (44.294)	Prec@5 78.906 (74.936)
Epoch: [37][3110/14090]	Time 0.751 (0.770)	Data 0.001 (0.002)	Loss 2.5833 (2.2155)	Prec@1 37.500 (44.291)	Prec@5 67.188 (74.930)
Epoch: [37][3120/14090]	Time 0.878 (0.770)	Data 0.001 (0.002)	Loss 2.2039 (2.2155)	Prec@1 43.750 (44.289)	Prec@5 78.125 (74.929)
Epoch: [37][3130/14090]	Time 0.759 (0.770)	Data 0.001 (0.002)	Loss 2.1133 (2.2154)	Prec@1 46.094 (44.293)	Prec@5 75.781 (74.929)
Epoch: [37][3140/14090]	Time 0.734 (0.770)	Data 0.001 (0.002)	Loss 2.3223 (2.2155)	Prec@1 39.062 (44.291)	Prec@5 71.875 (74.926)
Epoch: [37][3150/14090]	Time 0.726 (0.770)	Data 0.001 (0.002)	Loss 2.1137 (2.2154)	Prec@1 47.656 (44.298)	Prec@5 73.438 (74.928)
Epoch: [37][3160/14090]	Time 0.734 (0.770)	Data 0.001 (0.002)	Loss 2.4429 (2.2157)	Prec@1 39.062 (44.300)	Prec@5 70.312 (74.925)
Epoch: [37][3170/14090]	Time 0.726 (0.770)	Data 0.001 (0.002)	Loss 2.0828 (2.2156)	Prec@1 47.656 (44.297)	Prec@5 75.781 (74.926)
Epoch: [37][3180/14090]	Time 0.734 (0.770)	Data 0.001 (0.002)	Loss 2.2722 (2.2159)	Prec@1 42.969 (44.292)	Prec@5 76.562 (74.918)
Epoch: [37][3190/14090]	Time 0.866 (0.770)	Data 0.001 (0.002)	Loss 1.9872 (2.2160)	Prec@1 53.906 (44.286)	Prec@5 80.469 (74.917)
Epoch: [37][3200/14090]	Time 0.728 (0.770)	Data 0.001 (0.002)	Loss 2.3392 (2.2159)	Prec@1 39.844 (44.285)	Prec@5 71.094 (74.917)
Epoch: [37][3210/14090]	Time 0.745 (0.770)	Data 0.001 (0.002)	Loss 2.3210 (2.2159)	Prec@1 41.406 (44.287)	Prec@5 69.531 (74.917)
Epoch: [37][3220/14090]	Time 0.749 (0.770)	Data 0.001 (0.002)	Loss 2.1789 (2.2158)	Prec@1 45.312 (44.291)	Prec@5 74.219 (74.919)
Epoch: [37][3230/14090]	Time 0.735 (0.770)	Data 0.001 (0.002)	Loss 2.4330 (2.2158)	Prec@1 38.281 (44.290)	Prec@5 71.094 (74.921)
Epoch: [37][3240/14090]	Time 0.762 (0.770)	Data 0.001 (0.002)	Loss 2.0354 (2.2161)	Prec@1 41.406 (44.282)	Prec@5 78.125 (74.918)
Epoch: [37][3250/14090]	Time 0.737 (0.770)	Data 0.001 (0.002)	Loss 1.9266 (2.2159)	Prec@1 51.562 (44.285)	Prec@5 78.125 (74.923)
Epoch: [37][3260/14090]	Time 0.890 (0.770)	Data 0.001 (0.002)	Loss 1.9580 (2.2158)	Prec@1 49.219 (44.284)	Prec@5 82.031 (74.922)
Epoch: [37][3270/14090]	Time 0.741 (0.770)	Data 0.001 (0.002)	Loss 2.2733 (2.2160)	Prec@1 42.188 (44.280)	Prec@5 74.219 (74.918)
Epoch: [37][3280/14090]	Time 0.760 (0.770)	Data 0.001 (0.002)	Loss 2.0510 (2.2160)	Prec@1 50.781 (44.280)	Prec@5 79.688 (74.919)
Epoch: [37][3290/14090]	Time 0.757 (0.770)	Data 0.001 (0.002)	Loss 2.3080 (2.2163)	Prec@1 42.188 (44.276)	Prec@5 75.000 (74.918)
Epoch: [37][3300/14090]	Time 0.755 (0.770)	Data 0.001 (0.002)	Loss 2.3798 (2.2165)	Prec@1 41.406 (44.276)	Prec@5 75.781 (74.913)
Epoch: [37][3310/14090]	Time 0.756 (0.770)	Data 0.001 (0.002)	Loss 2.4127 (2.2165)	Prec@1 40.625 (44.274)	Prec@5 71.875 (74.912)
Epoch: [37][3320/14090]	Time 0.727 (0.770)	Data 0.001 (0.002)	Loss 2.3444 (2.2169)	Prec@1 42.188 (44.266)	Prec@5 74.219 (74.905)
Epoch: [37][3330/14090]	Time 0.877 (0.770)	Data 0.001 (0.002)	Loss 2.5381 (2.2169)	Prec@1 35.156 (44.264)	Prec@5 66.406 (74.903)
Epoch: [37][3340/14090]	Time 0.728 (0.770)	Data 0.001 (0.002)	Loss 2.3284 (2.2170)	Prec@1 40.625 (44.263)	Prec@5 71.094 (74.904)
Epoch: [37][3350/14090]	Time 0.781 (0.770)	Data 0.001 (0.002)	Loss 2.4171 (2.2171)	Prec@1 43.750 (44.263)	Prec@5 72.656 (74.900)
Epoch: [37][3360/14090]	Time 0.761 (0.770)	Data 0.001 (0.002)	Loss 2.1024 (2.2171)	Prec@1 46.875 (44.263)	Prec@5 79.688 (74.904)
Epoch: [37][3370/14090]	Time 0.756 (0.770)	Data 0.001 (0.002)	Loss 2.0988 (2.2169)	Prec@1 43.750 (44.264)	Prec@5 78.125 (74.908)
Epoch: [37][3380/14090]	Time 0.759 (0.770)	Data 0.001 (0.002)	Loss 2.1638 (2.2166)	Prec@1 42.969 (44.266)	Prec@5 75.000 (74.914)
Epoch: [37][3390/14090]	Time 0.752 (0.770)	Data 0.001 (0.002)	Loss 2.1806 (2.2165)	Prec@1 40.625 (44.266)	Prec@5 76.562 (74.915)
Epoch: [37][3400/14090]	Time 0.879 (0.770)	Data 0.001 (0.002)	Loss 2.1766 (2.2165)	Prec@1 41.406 (44.265)	Prec@5 78.125 (74.915)
Epoch: [37][3410/14090]	Time 0.746 (0.770)	Data 0.001 (0.002)	Loss 2.4022 (2.2166)	Prec@1 42.969 (44.268)	Prec@5 74.219 (74.916)
Epoch: [37][3420/14090]	Time 0.742 (0.770)	Data 0.002 (0.002)	Loss 2.1157 (2.2165)	Prec@1 47.656 (44.266)	Prec@5 72.656 (74.915)
Epoch: [37][3430/14090]	Time 0.745 (0.770)	Data 0.001 (0.002)	Loss 2.3970 (2.2169)	Prec@1 40.625 (44.258)	Prec@5 69.531 (74.907)
Epoch: [37][3440/14090]	Time 0.768 (0.770)	Data 0.001 (0.002)	Loss 2.2050 (2.2170)	Prec@1 39.062 (44.257)	Prec@5 75.781 (74.906)
Epoch: [37][3450/14090]	Time 0.755 (0.770)	Data 0.001 (0.002)	Loss 2.1379 (2.2169)	Prec@1 49.219 (44.259)	Prec@5 76.562 (74.911)
Epoch: [37][3460/14090]	Time 0.758 (0.770)	Data 0.001 (0.002)	Loss 2.1431 (2.2170)	Prec@1 42.188 (44.257)	Prec@5 74.219 (74.910)
Epoch: [37][3470/14090]	Time 0.822 (0.770)	Data 0.001 (0.002)	Loss 1.9949 (2.2168)	Prec@1 44.531 (44.257)	Prec@5 75.781 (74.911)
Epoch: [37][3480/14090]	Time 0.735 (0.770)	Data 0.001 (0.002)	Loss 2.3897 (2.2170)	Prec@1 35.938 (44.255)	Prec@5 67.969 (74.908)
Epoch: [37][3490/14090]	Time 0.744 (0.770)	Data 0.001 (0.002)	Loss 2.2106 (2.2169)	Prec@1 42.188 (44.256)	Prec@5 80.469 (74.913)
Epoch: [37][3500/14090]	Time 0.768 (0.770)	Data 0.001 (0.002)	Loss 1.9914 (2.2166)	Prec@1 51.562 (44.262)	Prec@5 82.812 (74.920)
Epoch: [37][3510/14090]	Time 0.754 (0.770)	Data 0.001 (0.002)	Loss 2.0755 (2.2167)	Prec@1 47.656 (44.257)	Prec@5 75.000 (74.919)
Epoch: [37][3520/14090]	Time 0.748 (0.770)	Data 0.001 (0.002)	Loss 2.4527 (2.2167)	Prec@1 40.625 (44.260)	Prec@5 71.875 (74.919)
Epoch: [37][3530/14090]	Time 0.723 (0.770)	Data 0.001 (0.002)	Loss 2.2669 (2.2167)	Prec@1 42.969 (44.260)	Prec@5 77.344 (74.920)
Epoch: [37][3540/14090]	Time 0.897 (0.770)	Data 0.001 (0.002)	Loss 2.2870 (2.2167)	Prec@1 40.625 (44.259)	Prec@5 75.000 (74.918)
Epoch: [37][3550/14090]	Time 0.733 (0.770)	Data 0.001 (0.002)	Loss 2.3044 (2.2167)	Prec@1 38.281 (44.254)	Prec@5 75.000 (74.922)
Epoch: [37][3560/14090]	Time 0.731 (0.770)	Data 0.001 (0.002)	Loss 2.2007 (2.2168)	Prec@1 47.656 (44.254)	Prec@5 73.438 (74.923)
Epoch: [37][3570/14090]	Time 0.735 (0.770)	Data 0.001 (0.002)	Loss 2.0521 (2.2167)	Prec@1 42.969 (44.254)	Prec@5 75.781 (74.923)
Epoch: [37][3580/14090]	Time 0.746 (0.770)	Data 0.001 (0.002)	Loss 2.1903 (2.2168)	Prec@1 41.406 (44.247)	Prec@5 76.562 (74.919)
Epoch: [37][3590/14090]	Time 0.740 (0.770)	Data 0.001 (0.002)	Loss 2.0463 (2.2166)	Prec@1 43.750 (44.248)	Prec@5 79.688 (74.924)
Epoch: [37][3600/14090]	Time 0.742 (0.770)	Data 0.001 (0.002)	Loss 2.2636 (2.2166)	Prec@1 40.625 (44.246)	Prec@5 75.781 (74.921)
Epoch: [37][3610/14090]	Time 0.869 (0.770)	Data 0.001 (0.002)	Loss 2.4342 (2.2165)	Prec@1 42.969 (44.250)	Prec@5 75.781 (74.921)
Epoch: [37][3620/14090]	Time 0.761 (0.770)	Data 0.001 (0.002)	Loss 2.3029 (2.2167)	Prec@1 41.406 (44.250)	Prec@5 71.875 (74.916)
Epoch: [37][3630/14090]	Time 0.720 (0.770)	Data 0.001 (0.002)	Loss 2.0844 (2.2164)	Prec@1 47.656 (44.258)	Prec@5 77.344 (74.923)
Epoch: [37][3640/14090]	Time 0.770 (0.770)	Data 0.001 (0.002)	Loss 2.2347 (2.2165)	Prec@1 50.000 (44.259)	Prec@5 75.000 (74.922)
Epoch: [37][3650/14090]	Time 0.747 (0.770)	Data 0.001 (0.002)	Loss 2.3129 (2.2164)	Prec@1 45.312 (44.263)	Prec@5 71.094 (74.924)
Epoch: [37][3660/14090]	Time 0.733 (0.770)	Data 0.001 (0.002)	Loss 2.2629 (2.2164)	Prec@1 39.844 (44.266)	Prec@5 77.344 (74.924)
Epoch: [37][3670/14090]	Time 0.740 (0.770)	Data 0.001 (0.002)	Loss 2.2690 (2.2167)	Prec@1 43.750 (44.260)	Prec@5 78.906 (74.921)
Epoch: [37][3680/14090]	Time 0.872 (0.770)	Data 0.001 (0.002)	Loss 2.3787 (2.2167)	Prec@1 38.281 (44.261)	Prec@5 71.875 (74.917)
Epoch: [37][3690/14090]	Time 0.746 (0.770)	Data 0.001 (0.002)	Loss 2.0791 (2.2167)	Prec@1 45.312 (44.257)	Prec@5 78.125 (74.918)
Epoch: [37][3700/14090]	Time 0.746 (0.770)	Data 0.001 (0.002)	Loss 2.0145 (2.2167)	Prec@1 48.438 (44.257)	Prec@5 75.000 (74.917)
Epoch: [37][3710/14090]	Time 0.760 (0.770)	Data 0.001 (0.002)	Loss 2.0054 (2.2169)	Prec@1 48.438 (44.251)	Prec@5 74.219 (74.912)
Epoch: [37][3720/14090]	Time 0.725 (0.770)	Data 0.001 (0.002)	Loss 2.1859 (2.2170)	Prec@1 44.531 (44.251)	Prec@5 73.438 (74.911)
Epoch: [37][3730/14090]	Time 0.737 (0.770)	Data 0.001 (0.002)	Loss 2.2481 (2.2168)	Prec@1 45.312 (44.252)	Prec@5 73.438 (74.911)
Epoch: [37][3740/14090]	Time 0.762 (0.770)	Data 0.001 (0.002)	Loss 2.2968 (2.2169)	Prec@1 43.750 (44.252)	Prec@5 76.562 (74.911)
Epoch: [37][3750/14090]	Time 0.890 (0.770)	Data 0.001 (0.002)	Loss 2.3157 (2.2169)	Prec@1 47.656 (44.257)	Prec@5 75.000 (74.912)
Epoch: [37][3760/14090]	Time 0.771 (0.770)	Data 0.001 (0.002)	Loss 2.5135 (2.2171)	Prec@1 37.500 (44.255)	Prec@5 71.094 (74.908)
Epoch: [37][3770/14090]	Time 0.729 (0.770)	Data 0.001 (0.002)	Loss 2.2252 (2.2170)	Prec@1 47.656 (44.260)	Prec@5 72.656 (74.909)
Epoch: [37][3780/14090]	Time 0.762 (0.770)	Data 0.001 (0.002)	Loss 2.4757 (2.2170)	Prec@1 39.844 (44.258)	Prec@5 73.438 (74.910)
Epoch: [37][3790/14090]	Time 0.753 (0.770)	Data 0.001 (0.002)	Loss 2.0408 (2.2170)	Prec@1 42.969 (44.261)	Prec@5 84.375 (74.912)
Epoch: [37][3800/14090]	Time 0.731 (0.770)	Data 0.001 (0.002)	Loss 2.0824 (2.2170)	Prec@1 44.531 (44.259)	Prec@5 76.562 (74.912)
Epoch: [37][3810/14090]	Time 0.732 (0.770)	Data 0.001 (0.002)	Loss 2.4027 (2.2171)	Prec@1 34.375 (44.252)	Prec@5 75.000 (74.909)
Epoch: [37][3820/14090]	Time 0.896 (0.770)	Data 0.001 (0.002)	Loss 2.1607 (2.2172)	Prec@1 45.312 (44.251)	Prec@5 73.438 (74.907)
Epoch: [37][3830/14090]	Time 0.756 (0.770)	Data 0.001 (0.002)	Loss 2.3072 (2.2171)	Prec@1 40.625 (44.250)	Prec@5 78.125 (74.909)
Epoch: [37][3840/14090]	Time 0.758 (0.769)	Data 0.001 (0.002)	Loss 2.1886 (2.2169)	Prec@1 42.969 (44.254)	Prec@5 75.781 (74.916)
Epoch: [37][3850/14090]	Time 0.756 (0.769)	Data 0.001 (0.002)	Loss 2.0435 (2.2166)	Prec@1 44.531 (44.258)	Prec@5 80.469 (74.919)
Epoch: [37][3860/14090]	Time 0.750 (0.769)	Data 0.001 (0.002)	Loss 2.4373 (2.2167)	Prec@1 45.312 (44.256)	Prec@5 71.094 (74.915)
Epoch: [37][3870/14090]	Time 0.745 (0.769)	Data 0.001 (0.002)	Loss 2.1590 (2.2169)	Prec@1 48.438 (44.251)	Prec@5 76.562 (74.913)
Epoch: [37][3880/14090]	Time 0.756 (0.769)	Data 0.001 (0.002)	Loss 2.2629 (2.2170)	Prec@1 48.438 (44.253)	Prec@5 75.781 (74.911)
Epoch: [37][3890/14090]	Time 0.860 (0.769)	Data 0.001 (0.002)	Loss 2.3701 (2.2171)	Prec@1 40.625 (44.253)	Prec@5 71.875 (74.909)
Epoch: [37][3900/14090]	Time 0.741 (0.769)	Data 0.001 (0.002)	Loss 2.3167 (2.2172)	Prec@1 41.406 (44.251)	Prec@5 72.656 (74.909)
Epoch: [37][3910/14090]	Time 0.756 (0.769)	Data 0.001 (0.002)	Loss 1.9237 (2.2170)	Prec@1 47.656 (44.251)	Prec@5 82.812 (74.913)
Epoch: [37][3920/14090]	Time 0.738 (0.769)	Data 0.001 (0.002)	Loss 2.1214 (2.2168)	Prec@1 45.312 (44.254)	Prec@5 75.781 (74.913)
Epoch: [37][3930/14090]	Time 0.759 (0.769)	Data 0.001 (0.002)	Loss 2.0482 (2.2167)	Prec@1 48.438 (44.258)	Prec@5 77.344 (74.918)
Epoch: [37][3940/14090]	Time 0.763 (0.769)	Data 0.001 (0.002)	Loss 2.3656 (2.2168)	Prec@1 42.969 (44.249)	Prec@5 75.000 (74.918)
Epoch: [37][3950/14090]	Time 0.732 (0.769)	Data 0.001 (0.002)	Loss 2.3602 (2.2166)	Prec@1 39.844 (44.254)	Prec@5 67.969 (74.923)
Epoch: [37][3960/14090]	Time 0.874 (0.769)	Data 0.001 (0.002)	Loss 2.3329 (2.2167)	Prec@1 44.531 (44.251)	Prec@5 70.312 (74.919)
Epoch: [37][3970/14090]	Time 0.756 (0.769)	Data 0.001 (0.002)	Loss 2.2117 (2.2165)	Prec@1 42.969 (44.253)	Prec@5 75.781 (74.923)
Epoch: [37][3980/14090]	Time 0.752 (0.769)	Data 0.001 (0.002)	Loss 2.1908 (2.2165)	Prec@1 42.188 (44.253)	Prec@5 76.562 (74.926)
Epoch: [37][3990/14090]	Time 0.759 (0.769)	Data 0.001 (0.002)	Loss 1.9893 (2.2164)	Prec@1 50.781 (44.257)	Prec@5 76.562 (74.923)
Epoch: [37][4000/14090]	Time 0.746 (0.769)	Data 0.001 (0.002)	Loss 2.4717 (2.2164)	Prec@1 41.406 (44.257)	Prec@5 71.094 (74.927)
Epoch: [37][4010/14090]	Time 0.744 (0.769)	Data 0.001 (0.002)	Loss 2.2939 (2.2164)	Prec@1 39.844 (44.255)	Prec@5 77.344 (74.929)
Epoch: [37][4020/14090]	Time 0.723 (0.769)	Data 0.001 (0.002)	Loss 2.1453 (2.2164)	Prec@1 45.312 (44.257)	Prec@5 78.125 (74.933)
Epoch: [37][4030/14090]	Time 0.835 (0.769)	Data 0.001 (0.002)	Loss 2.2654 (2.2162)	Prec@1 42.969 (44.260)	Prec@5 71.875 (74.937)
Epoch: [37][4040/14090]	Time 0.751 (0.769)	Data 0.001 (0.002)	Loss 2.3636 (2.2164)	Prec@1 42.188 (44.258)	Prec@5 75.781 (74.934)
Epoch: [37][4050/14090]	Time 0.773 (0.769)	Data 0.001 (0.002)	Loss 2.3970 (2.2164)	Prec@1 40.625 (44.260)	Prec@5 71.875 (74.933)
Epoch: [37][4060/14090]	Time 0.736 (0.769)	Data 0.001 (0.002)	Loss 2.3537 (2.2164)	Prec@1 40.625 (44.262)	Prec@5 74.219 (74.936)
Epoch: [37][4070/14090]	Time 0.746 (0.769)	Data 0.001 (0.002)	Loss 2.0900 (2.2166)	Prec@1 43.750 (44.258)	Prec@5 78.906 (74.931)
Epoch: [37][4080/14090]	Time 0.742 (0.769)	Data 0.001 (0.002)	Loss 2.1362 (2.2165)	Prec@1 43.750 (44.259)	Prec@5 78.125 (74.934)
Epoch: [37][4090/14090]	Time 0.725 (0.769)	Data 0.001 (0.002)	Loss 2.3107 (2.2165)	Prec@1 42.188 (44.258)	Prec@5 74.219 (74.934)
Epoch: [37][4100/14090]	Time 0.888 (0.769)	Data 0.001 (0.002)	Loss 2.3691 (2.2166)	Prec@1 44.531 (44.255)	Prec@5 72.656 (74.931)
Epoch: [37][4110/14090]	Time 0.728 (0.769)	Data 0.001 (0.002)	Loss 2.4892 (2.2166)	Prec@1 38.281 (44.254)	Prec@5 67.188 (74.932)
Epoch: [37][4120/14090]	Time 0.766 (0.769)	Data 0.001 (0.002)	Loss 2.0563 (2.2167)	Prec@1 45.312 (44.250)	Prec@5 78.906 (74.930)
Epoch: [37][4130/14090]	Time 0.753 (0.769)	Data 0.001 (0.002)	Loss 2.1350 (2.2167)	Prec@1 44.531 (44.251)	Prec@5 76.562 (74.929)
Epoch: [37][4140/14090]	Time 0.740 (0.769)	Data 0.001 (0.002)	Loss 2.1087 (2.2169)	Prec@1 50.000 (44.247)	Prec@5 73.438 (74.927)
Epoch: [37][4150/14090]	Time 0.734 (0.769)	Data 0.001 (0.002)	Loss 1.9854 (2.2169)	Prec@1 45.312 (44.245)	Prec@5 78.125 (74.928)
Epoch: [37][4160/14090]	Time 0.734 (0.769)	Data 0.001 (0.002)	Loss 2.1021 (2.2167)	Prec@1 45.312 (44.247)	Prec@5 77.344 (74.935)
Epoch: [37][4170/14090]	Time 0.875 (0.769)	Data 0.001 (0.002)	Loss 2.0491 (2.2166)	Prec@1 46.094 (44.247)	Prec@5 78.125 (74.935)
Epoch: [37][4180/14090]	Time 0.750 (0.769)	Data 0.001 (0.002)	Loss 2.4767 (2.2168)	Prec@1 39.844 (44.243)	Prec@5 71.094 (74.939)
Epoch: [37][4190/14090]	Time 0.734 (0.769)	Data 0.001 (0.002)	Loss 2.1711 (2.2168)	Prec@1 46.094 (44.239)	Prec@5 76.562 (74.941)
Epoch: [37][4200/14090]	Time 0.750 (0.769)	Data 0.001 (0.002)	Loss 2.7113 (2.2169)	Prec@1 34.375 (44.235)	Prec@5 69.531 (74.940)
Epoch: [37][4210/14090]	Time 0.732 (0.769)	Data 0.001 (0.002)	Loss 1.9764 (2.2169)	Prec@1 47.656 (44.233)	Prec@5 80.469 (74.938)
Epoch: [37][4220/14090]	Time 0.761 (0.769)	Data 0.001 (0.002)	Loss 2.2111 (2.2168)	Prec@1 36.719 (44.231)	Prec@5 75.000 (74.942)
Epoch: [37][4230/14090]	Time 0.735 (0.769)	Data 0.001 (0.002)	Loss 2.4647 (2.2167)	Prec@1 37.500 (44.232)	Prec@5 69.531 (74.943)
Epoch: [37][4240/14090]	Time 0.880 (0.769)	Data 0.001 (0.002)	Loss 2.2524 (2.2167)	Prec@1 40.625 (44.229)	Prec@5 73.438 (74.945)
Epoch: [37][4250/14090]	Time 0.743 (0.769)	Data 0.001 (0.002)	Loss 2.4251 (2.2169)	Prec@1 42.969 (44.231)	Prec@5 67.188 (74.941)
Epoch: [37][4260/14090]	Time 0.759 (0.769)	Data 0.001 (0.002)	Loss 2.3222 (2.2169)	Prec@1 39.844 (44.229)	Prec@5 75.781 (74.944)
Epoch: [37][4270/14090]	Time 0.741 (0.769)	Data 0.001 (0.002)	Loss 2.2691 (2.2169)	Prec@1 42.969 (44.232)	Prec@5 71.875 (74.944)
Epoch: [37][4280/14090]	Time 0.751 (0.769)	Data 0.001 (0.002)	Loss 2.2002 (2.2169)	Prec@1 44.531 (44.233)	Prec@5 76.562 (74.942)
Epoch: [37][4290/14090]	Time 0.764 (0.769)	Data 0.001 (0.002)	Loss 2.4473 (2.2170)	Prec@1 40.625 (44.232)	Prec@5 68.750 (74.938)
Epoch: [37][4300/14090]	Time 0.725 (0.769)	Data 0.001 (0.002)	Loss 2.3099 (2.2168)	Prec@1 39.062 (44.236)	Prec@5 71.875 (74.941)
Epoch: [37][4310/14090]	Time 0.860 (0.769)	Data 0.001 (0.002)	Loss 2.2172 (2.2167)	Prec@1 44.531 (44.239)	Prec@5 72.656 (74.942)
Epoch: [37][4320/14090]	Time 0.759 (0.769)	Data 0.001 (0.002)	Loss 2.0021 (2.2165)	Prec@1 49.219 (44.243)	Prec@5 81.250 (74.946)
Epoch: [37][4330/14090]	Time 0.734 (0.769)	Data 0.001 (0.002)	Loss 2.0780 (2.2166)	Prec@1 46.875 (44.239)	Prec@5 78.906 (74.944)
Epoch: [37][4340/14090]	Time 0.756 (0.769)	Data 0.001 (0.002)	Loss 2.2347 (2.2165)	Prec@1 42.969 (44.244)	Prec@5 72.656 (74.945)
Epoch: [37][4350/14090]	Time 0.762 (0.769)	Data 0.001 (0.002)	Loss 2.1779 (2.2165)	Prec@1 41.406 (44.245)	Prec@5 78.906 (74.947)
Epoch: [37][4360/14090]	Time 0.756 (0.769)	Data 0.001 (0.002)	Loss 1.9906 (2.2165)	Prec@1 44.531 (44.249)	Prec@5 84.375 (74.947)
Epoch: [37][4370/14090]	Time 0.770 (0.769)	Data 0.001 (0.002)	Loss 2.0754 (2.2165)	Prec@1 44.531 (44.250)	Prec@5 78.125 (74.945)
Epoch: [37][4380/14090]	Time 0.951 (0.769)	Data 0.001 (0.002)	Loss 2.2715 (2.2164)	Prec@1 45.312 (44.249)	Prec@5 71.875 (74.944)
Epoch: [37][4390/14090]	Time 0.770 (0.769)	Data 0.001 (0.002)	Loss 2.1023 (2.2165)	Prec@1 49.219 (44.247)	Prec@5 73.438 (74.943)
Epoch: [37][4400/14090]	Time 0.754 (0.769)	Data 0.001 (0.002)	Loss 2.2178 (2.2164)	Prec@1 43.750 (44.249)	Prec@5 74.219 (74.943)
Epoch: [37][4410/14090]	Time 0.753 (0.769)	Data 0.001 (0.002)	Loss 2.4790 (2.2166)	Prec@1 42.188 (44.247)	Prec@5 71.094 (74.939)
Epoch: [37][4420/14090]	Time 0.756 (0.769)	Data 0.001 (0.002)	Loss 2.2518 (2.2169)	Prec@1 45.312 (44.240)	Prec@5 71.875 (74.933)
Epoch: [37][4430/14090]	Time 0.756 (0.769)	Data 0.001 (0.002)	Loss 2.2001 (2.2169)	Prec@1 42.969 (44.238)	Prec@5 75.000 (74.933)
Epoch: [37][4440/14090]	Time 0.731 (0.769)	Data 0.001 (0.002)	Loss 2.0760 (2.2166)	Prec@1 42.969 (44.243)	Prec@5 75.781 (74.937)
Epoch: [37][4450/14090]	Time 0.801 (0.769)	Data 0.001 (0.002)	Loss 2.4871 (2.2167)	Prec@1 36.719 (44.240)	Prec@5 75.000 (74.936)
Epoch: [37][4460/14090]	Time 0.766 (0.769)	Data 0.001 (0.002)	Loss 2.1351 (2.2164)	Prec@1 43.750 (44.246)	Prec@5 75.781 (74.941)
Epoch: [37][4470/14090]	Time 0.759 (0.769)	Data 0.001 (0.002)	Loss 2.3351 (2.2165)	Prec@1 40.625 (44.246)	Prec@5 72.656 (74.936)
Epoch: [37][4480/14090]	Time 0.746 (0.769)	Data 0.001 (0.002)	Loss 2.1754 (2.2164)	Prec@1 42.969 (44.245)	Prec@5 78.906 (74.939)
Epoch: [37][4490/14090]	Time 0.754 (0.769)	Data 0.001 (0.002)	Loss 2.3355 (2.2163)	Prec@1 35.156 (44.242)	Prec@5 73.438 (74.940)
Epoch: [37][4500/14090]	Time 0.763 (0.769)	Data 0.001 (0.002)	Loss 1.8798 (2.2164)	Prec@1 50.781 (44.242)	Prec@5 81.250 (74.941)
Epoch: [37][4510/14090]	Time 0.728 (0.769)	Data 0.001 (0.002)	Loss 2.1744 (2.2165)	Prec@1 42.969 (44.237)	Prec@5 74.219 (74.939)
Epoch: [37][4520/14090]	Time 0.851 (0.769)	Data 0.001 (0.002)	Loss 2.3508 (2.2164)	Prec@1 41.406 (44.237)	Prec@5 71.875 (74.941)
Epoch: [37][4530/14090]	Time 0.730 (0.769)	Data 0.001 (0.002)	Loss 2.1342 (2.2164)	Prec@1 45.312 (44.239)	Prec@5 75.781 (74.940)
Epoch: [37][4540/14090]	Time 0.745 (0.769)	Data 0.000 (0.002)	Loss 2.3824 (2.2165)	Prec@1 37.500 (44.235)	Prec@5 72.656 (74.937)
Epoch: [37][4550/14090]	Time 0.738 (0.769)	Data 0.001 (0.002)	Loss 2.3126 (2.2166)	Prec@1 43.750 (44.236)	Prec@5 74.219 (74.935)
Epoch: [37][4560/14090]	Time 0.776 (0.769)	Data 0.001 (0.002)	Loss 2.4985 (2.2169)	Prec@1 41.406 (44.232)	Prec@5 71.875 (74.931)
Epoch: [37][4570/14090]	Time 0.752 (0.769)	Data 0.001 (0.002)	Loss 2.3273 (2.2169)	Prec@1 46.094 (44.232)	Prec@5 71.094 (74.930)
Epoch: [37][4580/14090]	Time 0.738 (0.769)	Data 0.001 (0.002)	Loss 2.1512 (2.2169)	Prec@1 42.969 (44.233)	Prec@5 72.656 (74.933)
Epoch: [37][4590/14090]	Time 0.860 (0.769)	Data 0.001 (0.002)	Loss 2.2408 (2.2167)	Prec@1 42.188 (44.236)	Prec@5 70.312 (74.937)
Epoch: [37][4600/14090]	Time 0.736 (0.769)	Data 0.001 (0.002)	Loss 2.2331 (2.2167)	Prec@1 50.000 (44.244)	Prec@5 76.562 (74.937)
Epoch: [37][4610/14090]	Time 0.777 (0.769)	Data 0.001 (0.002)	Loss 2.1644 (2.2167)	Prec@1 43.750 (44.242)	Prec@5 75.781 (74.938)
Epoch: [37][4620/14090]	Time 0.772 (0.769)	Data 0.001 (0.002)	Loss 2.3207 (2.2167)	Prec@1 42.188 (44.245)	Prec@5 71.875 (74.937)
Epoch: [37][4630/14090]	Time 0.752 (0.769)	Data 0.001 (0.002)	Loss 2.0594 (2.2166)	Prec@1 47.656 (44.248)	Prec@5 71.875 (74.938)
Epoch: [37][4640/14090]	Time 0.771 (0.769)	Data 0.001 (0.002)	Loss 2.2613 (2.2167)	Prec@1 46.094 (44.251)	Prec@5 71.875 (74.936)
Epoch: [37][4650/14090]	Time 0.752 (0.769)	Data 0.001 (0.002)	Loss 1.7753 (2.2167)	Prec@1 56.250 (44.256)	Prec@5 82.812 (74.934)
Epoch: [37][4660/14090]	Time 0.872 (0.769)	Data 0.001 (0.002)	Loss 2.1911 (2.2167)	Prec@1 39.062 (44.256)	Prec@5 75.781 (74.935)
Epoch: [37][4670/14090]	Time 0.764 (0.769)	Data 0.001 (0.002)	Loss 2.2719 (2.2166)	Prec@1 41.406 (44.259)	Prec@5 71.875 (74.935)
Epoch: [37][4680/14090]	Time 0.763 (0.769)	Data 0.001 (0.002)	Loss 2.0203 (2.2166)	Prec@1 47.656 (44.254)	Prec@5 77.344 (74.935)
Epoch: [37][4690/14090]	Time 0.722 (0.769)	Data 0.001 (0.002)	Loss 2.1554 (2.2166)	Prec@1 47.656 (44.253)	Prec@5 79.688 (74.936)
Epoch: [37][4700/14090]	Time 0.746 (0.769)	Data 0.001 (0.002)	Loss 2.5372 (2.2167)	Prec@1 39.062 (44.250)	Prec@5 72.656 (74.932)
Epoch: [37][4710/14090]	Time 0.761 (0.769)	Data 0.001 (0.002)	Loss 2.0323 (2.2167)	Prec@1 45.312 (44.249)	Prec@5 81.250 (74.934)
Epoch: [37][4720/14090]	Time 0.735 (0.769)	Data 0.001 (0.002)	Loss 2.3158 (2.2168)	Prec@1 40.625 (44.246)	Prec@5 73.438 (74.930)
Epoch: [37][4730/14090]	Time 0.848 (0.769)	Data 0.001 (0.002)	Loss 2.4064 (2.2169)	Prec@1 43.750 (44.245)	Prec@5 75.781 (74.929)
Epoch: [37][4740/14090]	Time 0.761 (0.769)	Data 0.001 (0.002)	Loss 2.4523 (2.2170)	Prec@1 35.938 (44.245)	Prec@5 71.094 (74.925)
Epoch: [37][4750/14090]	Time 0.743 (0.769)	Data 0.001 (0.002)	Loss 2.3231 (2.2169)	Prec@1 42.188 (44.247)	Prec@5 67.969 (74.925)
Epoch: [37][4760/14090]	Time 0.746 (0.769)	Data 0.001 (0.002)	Loss 2.3848 (2.2169)	Prec@1 42.188 (44.247)	Prec@5 72.656 (74.925)
Epoch: [37][4770/14090]	Time 0.759 (0.769)	Data 0.001 (0.002)	Loss 2.2055 (2.2171)	Prec@1 44.531 (44.245)	Prec@5 74.219 (74.920)
Epoch: [37][4780/14090]	Time 0.734 (0.769)	Data 0.001 (0.002)	Loss 2.3212 (2.2172)	Prec@1 42.188 (44.243)	Prec@5 70.312 (74.915)
Epoch: [37][4790/14090]	Time 0.731 (0.769)	Data 0.001 (0.002)	Loss 2.4044 (2.2173)	Prec@1 37.500 (44.241)	Prec@5 71.094 (74.914)
Epoch: [37][4800/14090]	Time 0.878 (0.769)	Data 0.001 (0.002)	Loss 2.3499 (2.2174)	Prec@1 41.406 (44.239)	Prec@5 75.000 (74.914)
Epoch: [37][4810/14090]	Time 0.759 (0.769)	Data 0.001 (0.002)	Loss 2.1808 (2.2174)	Prec@1 42.188 (44.243)	Prec@5 73.438 (74.913)
Epoch: [37][4820/14090]	Time 0.746 (0.769)	Data 0.001 (0.002)	Loss 2.2839 (2.2175)	Prec@1 42.969 (44.240)	Prec@5 71.875 (74.912)
Epoch: [37][4830/14090]	Time 0.753 (0.769)	Data 0.001 (0.002)	Loss 2.0864 (2.2174)	Prec@1 42.969 (44.238)	Prec@5 78.906 (74.911)
Epoch: [37][4840/14090]	Time 0.747 (0.769)	Data 0.001 (0.002)	Loss 2.3347 (2.2175)	Prec@1 41.406 (44.237)	Prec@5 75.000 (74.913)
Epoch: [37][4850/14090]	Time 0.740 (0.769)	Data 0.001 (0.002)	Loss 2.4183 (2.2174)	Prec@1 42.188 (44.240)	Prec@5 71.875 (74.916)
Epoch: [37][4860/14090]	Time 0.787 (0.769)	Data 0.001 (0.002)	Loss 2.3376 (2.2174)	Prec@1 38.281 (44.238)	Prec@5 69.531 (74.918)
Epoch: [37][4870/14090]	Time 0.817 (0.769)	Data 0.001 (0.002)	Loss 2.0800 (2.2174)	Prec@1 49.219 (44.239)	Prec@5 80.469 (74.917)
Epoch: [37][4880/14090]	Time 0.752 (0.769)	Data 0.001 (0.002)	Loss 2.2510 (2.2174)	Prec@1 46.094 (44.238)	Prec@5 78.906 (74.915)
Epoch: [37][4890/14090]	Time 0.781 (0.769)	Data 0.001 (0.002)	Loss 2.5136 (2.2174)	Prec@1 44.531 (44.242)	Prec@5 67.969 (74.915)
Epoch: [37][4900/14090]	Time 0.739 (0.769)	Data 0.001 (0.002)	Loss 2.2282 (2.2172)	Prec@1 42.969 (44.245)	Prec@5 72.656 (74.916)
Epoch: [37][4910/14090]	Time 0.735 (0.769)	Data 0.001 (0.002)	Loss 1.9236 (2.2171)	Prec@1 50.000 (44.248)	Prec@5 80.469 (74.919)
Epoch: [37][4920/14090]	Time 0.753 (0.769)	Data 0.001 (0.002)	Loss 2.1624 (2.2169)	Prec@1 42.969 (44.252)	Prec@5 75.781 (74.925)
Epoch: [37][4930/14090]	Time 0.754 (0.769)	Data 0.001 (0.002)	Loss 2.0290 (2.2169)	Prec@1 44.531 (44.252)	Prec@5 82.031 (74.927)
Epoch: [37][4940/14090]	Time 0.984 (0.769)	Data 0.001 (0.002)	Loss 2.2747 (2.2170)	Prec@1 39.844 (44.250)	Prec@5 76.562 (74.926)
Epoch: [37][4950/14090]	Time 0.751 (0.769)	Data 0.001 (0.002)	Loss 1.9734 (2.2169)	Prec@1 46.875 (44.250)	Prec@5 81.250 (74.928)
Epoch: [37][4960/14090]	Time 0.729 (0.769)	Data 0.001 (0.002)	Loss 2.3087 (2.2169)	Prec@1 44.531 (44.250)	Prec@5 76.562 (74.929)
Epoch: [37][4970/14090]	Time 0.771 (0.769)	Data 0.001 (0.002)	Loss 2.3062 (2.2169)	Prec@1 46.875 (44.249)	Prec@5 69.531 (74.929)
Epoch: [37][4980/14090]	Time 0.747 (0.769)	Data 0.001 (0.002)	Loss 2.1089 (2.2169)	Prec@1 45.312 (44.250)	Prec@5 75.781 (74.929)
Epoch: [37][4990/14090]	Time 0.752 (0.769)	Data 0.001 (0.002)	Loss 2.2935 (2.2170)	Prec@1 42.188 (44.250)	Prec@5 72.656 (74.928)
Epoch: [37][5000/14090]	Time 0.735 (0.769)	Data 0.001 (0.002)	Loss 2.2860 (2.2170)	Prec@1 40.625 (44.249)	Prec@5 72.656 (74.930)
Epoch: [37][5010/14090]	Time 0.854 (0.769)	Data 0.001 (0.002)	Loss 2.2925 (2.2172)	Prec@1 43.750 (44.242)	Prec@5 72.656 (74.926)
Epoch: [37][5020/14090]	Time 0.753 (0.769)	Data 0.001 (0.002)	Loss 2.3343 (2.2172)	Prec@1 40.625 (44.244)	Prec@5 78.125 (74.930)
Epoch: [37][5030/14090]	Time 0.761 (0.769)	Data 0.001 (0.002)	Loss 2.4724 (2.2172)	Prec@1 35.156 (44.243)	Prec@5 70.312 (74.929)
Epoch: [37][5040/14090]	Time 0.771 (0.769)	Data 0.001 (0.002)	Loss 2.0965 (2.2171)	Prec@1 45.312 (44.243)	Prec@5 82.031 (74.930)
Epoch: [37][5050/14090]	Time 0.748 (0.769)	Data 0.001 (0.002)	Loss 2.5104 (2.2171)	Prec@1 35.156 (44.243)	Prec@5 67.188 (74.930)
Epoch: [37][5060/14090]	Time 0.768 (0.769)	Data 0.001 (0.002)	Loss 2.3103 (2.2170)	Prec@1 43.750 (44.244)	Prec@5 71.094 (74.932)
Epoch: [37][5070/14090]	Time 0.732 (0.769)	Data 0.001 (0.002)	Loss 2.3734 (2.2171)	Prec@1 41.406 (44.248)	Prec@5 69.531 (74.930)
Epoch: [37][5080/14090]	Time 0.854 (0.769)	Data 0.001 (0.002)	Loss 2.4339 (2.2172)	Prec@1 41.406 (44.248)	Prec@5 74.219 (74.927)
Epoch: [37][5090/14090]	Time 0.748 (0.769)	Data 0.002 (0.002)	Loss 2.3112 (2.2172)	Prec@1 43.750 (44.248)	Prec@5 75.781 (74.927)
Epoch: [37][5100/14090]	Time 0.747 (0.769)	Data 0.001 (0.002)	Loss 2.3526 (2.2173)	Prec@1 46.875 (44.244)	Prec@5 70.312 (74.926)
Epoch: [37][5110/14090]	Time 0.739 (0.769)	Data 0.001 (0.002)	Loss 2.1435 (2.2172)	Prec@1 47.656 (44.246)	Prec@5 78.906 (74.927)
Epoch: [37][5120/14090]	Time 0.731 (0.769)	Data 0.001 (0.002)	Loss 2.3511 (2.2174)	Prec@1 42.969 (44.244)	Prec@5 75.000 (74.926)
Epoch: [37][5130/14090]	Time 0.786 (0.769)	Data 0.001 (0.002)	Loss 2.1385 (2.2175)	Prec@1 49.219 (44.241)	Prec@5 74.219 (74.925)
Epoch: [37][5140/14090]	Time 0.758 (0.769)	Data 0.001 (0.002)	Loss 2.3716 (2.2174)	Prec@1 35.938 (44.244)	Prec@5 70.312 (74.925)
Epoch: [37][5150/14090]	Time 0.856 (0.769)	Data 0.001 (0.002)	Loss 2.0387 (2.2175)	Prec@1 50.000 (44.243)	Prec@5 75.000 (74.922)
Epoch: [37][5160/14090]	Time 0.758 (0.769)	Data 0.001 (0.002)	Loss 1.9975 (2.2175)	Prec@1 44.531 (44.240)	Prec@5 75.781 (74.920)
Epoch: [37][5170/14090]	Time 0.746 (0.769)	Data 0.001 (0.002)	Loss 2.6565 (2.2175)	Prec@1 34.375 (44.241)	Prec@5 64.062 (74.918)
Epoch: [37][5180/14090]	Time 0.772 (0.769)	Data 0.001 (0.002)	Loss 2.0898 (2.2175)	Prec@1 45.312 (44.246)	Prec@5 78.906 (74.918)
Epoch: [37][5190/14090]	Time 0.771 (0.769)	Data 0.001 (0.002)	Loss 2.2355 (2.2174)	Prec@1 44.531 (44.249)	Prec@5 76.562 (74.918)
Epoch: [37][5200/14090]	Time 0.751 (0.769)	Data 0.001 (0.002)	Loss 2.3681 (2.2174)	Prec@1 39.844 (44.246)	Prec@5 71.094 (74.917)
Epoch: [37][5210/14090]	Time 0.753 (0.769)	Data 0.001 (0.002)	Loss 2.2640 (2.2174)	Prec@1 41.406 (44.246)	Prec@5 77.344 (74.919)
Epoch: [37][5220/14090]	Time 0.905 (0.769)	Data 0.001 (0.002)	Loss 2.0427 (2.2172)	Prec@1 49.219 (44.250)	Prec@5 75.000 (74.921)
Epoch: [37][5230/14090]	Time 0.727 (0.769)	Data 0.001 (0.002)	Loss 2.0920 (2.2172)	Prec@1 50.000 (44.252)	Prec@5 78.125 (74.921)
Epoch: [37][5240/14090]	Time 0.732 (0.769)	Data 0.001 (0.002)	Loss 2.1401 (2.2172)	Prec@1 45.312 (44.254)	Prec@5 78.906 (74.922)
Epoch: [37][5250/14090]	Time 0.769 (0.769)	Data 0.001 (0.002)	Loss 1.9217 (2.2173)	Prec@1 50.000 (44.256)	Prec@5 81.250 (74.921)
Epoch: [37][5260/14090]	Time 0.727 (0.769)	Data 0.001 (0.002)	Loss 2.3170 (2.2171)	Prec@1 43.750 (44.258)	Prec@5 72.656 (74.920)
Epoch: [37][5270/14090]	Time 0.749 (0.769)	Data 0.001 (0.002)	Loss 2.3340 (2.2172)	Prec@1 42.188 (44.256)	Prec@5 75.000 (74.918)
Epoch: [37][5280/14090]	Time 0.778 (0.769)	Data 0.001 (0.002)	Loss 2.0960 (2.2172)	Prec@1 46.875 (44.256)	Prec@5 75.000 (74.919)
Epoch: [37][5290/14090]	Time 0.852 (0.769)	Data 0.001 (0.002)	Loss 2.0535 (2.2171)	Prec@1 46.094 (44.260)	Prec@5 78.906 (74.920)
Epoch: [37][5300/14090]	Time 0.725 (0.769)	Data 0.001 (0.002)	Loss 2.1836 (2.2170)	Prec@1 43.750 (44.261)	Prec@5 72.656 (74.921)
Epoch: [37][5310/14090]	Time 0.751 (0.769)	Data 0.001 (0.002)	Loss 2.0026 (2.2169)	Prec@1 52.344 (44.264)	Prec@5 78.906 (74.924)
Epoch: [37][5320/14090]	Time 0.763 (0.769)	Data 0.001 (0.002)	Loss 2.3899 (2.2170)	Prec@1 42.969 (44.259)	Prec@5 69.531 (74.924)
Epoch: [37][5330/14090]	Time 0.724 (0.769)	Data 0.001 (0.002)	Loss 2.3643 (2.2171)	Prec@1 35.938 (44.256)	Prec@5 75.000 (74.924)
Epoch: [37][5340/14090]	Time 0.755 (0.769)	Data 0.001 (0.002)	Loss 2.3186 (2.2172)	Prec@1 42.188 (44.253)	Prec@5 71.875 (74.921)
Epoch: [37][5350/14090]	Time 0.753 (0.769)	Data 0.001 (0.002)	Loss 2.3595 (2.2174)	Prec@1 42.188 (44.247)	Prec@5 71.094 (74.916)
Epoch: [37][5360/14090]	Time 0.865 (0.769)	Data 0.001 (0.002)	Loss 2.3063 (2.2173)	Prec@1 40.625 (44.250)	Prec@5 71.094 (74.919)
Epoch: [37][5370/14090]	Time 0.751 (0.769)	Data 0.001 (0.002)	Loss 2.3299 (2.2174)	Prec@1 48.438 (44.245)	Prec@5 73.438 (74.918)
Epoch: [37][5380/14090]	Time 0.745 (0.769)	Data 0.001 (0.002)	Loss 2.4050 (2.2175)	Prec@1 39.062 (44.242)	Prec@5 71.094 (74.917)
Epoch: [37][5390/14090]	Time 0.725 (0.769)	Data 0.001 (0.002)	Loss 2.1698 (2.2177)	Prec@1 43.750 (44.236)	Prec@5 71.875 (74.916)
Epoch: [37][5400/14090]	Time 0.758 (0.769)	Data 0.001 (0.002)	Loss 2.1528 (2.2177)	Prec@1 44.531 (44.235)	Prec@5 78.125 (74.914)
Epoch: [37][5410/14090]	Time 0.755 (0.769)	Data 0.001 (0.002)	Loss 2.0033 (2.2177)	Prec@1 48.438 (44.233)	Prec@5 79.688 (74.917)
Epoch: [37][5420/14090]	Time 0.754 (0.769)	Data 0.001 (0.002)	Loss 2.2676 (2.2180)	Prec@1 46.094 (44.231)	Prec@5 78.125 (74.914)
Epoch: [37][5430/14090]	Time 0.846 (0.769)	Data 0.001 (0.002)	Loss 2.1797 (2.2180)	Prec@1 48.438 (44.231)	Prec@5 75.000 (74.914)
Epoch: [37][5440/14090]	Time 0.755 (0.769)	Data 0.001 (0.002)	Loss 2.2041 (2.2180)	Prec@1 43.750 (44.231)	Prec@5 75.000 (74.915)
Epoch: [37][5450/14090]	Time 0.756 (0.769)	Data 0.001 (0.002)	Loss 2.2799 (2.2180)	Prec@1 43.750 (44.230)	Prec@5 73.438 (74.914)
Epoch: [37][5460/14090]	Time 0.731 (0.769)	Data 0.001 (0.002)	Loss 2.0950 (2.2181)	Prec@1 53.125 (44.232)	Prec@5 77.344 (74.914)
Epoch: [37][5470/14090]	Time 0.725 (0.769)	Data 0.001 (0.002)	Loss 2.0321 (2.2182)	Prec@1 52.344 (44.230)	Prec@5 76.562 (74.910)
Epoch: [37][5480/14090]	Time 0.741 (0.769)	Data 0.001 (0.002)	Loss 2.3577 (2.2181)	Prec@1 31.250 (44.227)	Prec@5 75.000 (74.910)
Epoch: [37][5490/14090]	Time 0.739 (0.769)	Data 0.001 (0.002)	Loss 2.0193 (2.2179)	Prec@1 50.000 (44.232)	Prec@5 78.906 (74.914)
Epoch: [37][5500/14090]	Time 0.884 (0.769)	Data 0.001 (0.002)	Loss 2.1839 (2.2178)	Prec@1 44.531 (44.236)	Prec@5 74.219 (74.915)
Epoch: [37][5510/14090]	Time 0.764 (0.769)	Data 0.001 (0.002)	Loss 2.3633 (2.2179)	Prec@1 42.969 (44.235)	Prec@5 75.000 (74.917)
Epoch: [37][5520/14090]	Time 0.753 (0.769)	Data 0.001 (0.002)	Loss 2.4055 (2.2179)	Prec@1 40.625 (44.236)	Prec@5 71.094 (74.915)
Epoch: [37][5530/14090]	Time 0.739 (0.769)	Data 0.001 (0.002)	Loss 2.2013 (2.2179)	Prec@1 45.312 (44.237)	Prec@5 78.906 (74.915)
Epoch: [37][5540/14090]	Time 0.751 (0.769)	Data 0.001 (0.002)	Loss 2.2987 (2.2179)	Prec@1 41.406 (44.237)	Prec@5 73.438 (74.915)
Epoch: [37][5550/14090]	Time 0.736 (0.769)	Data 0.001 (0.002)	Loss 2.1436 (2.2179)	Prec@1 50.781 (44.234)	Prec@5 78.125 (74.914)
Epoch: [37][5560/14090]	Time 0.729 (0.769)	Data 0.001 (0.002)	Loss 2.1727 (2.2179)	Prec@1 42.188 (44.233)	Prec@5 72.656 (74.912)
Epoch: [37][5570/14090]	Time 0.859 (0.769)	Data 0.001 (0.002)	Loss 2.3048 (2.2179)	Prec@1 42.188 (44.229)	Prec@5 75.000 (74.912)
Epoch: [37][5580/14090]	Time 0.753 (0.769)	Data 0.001 (0.002)	Loss 2.1476 (2.2180)	Prec@1 47.656 (44.231)	Prec@5 75.000 (74.911)
Epoch: [37][5590/14090]	Time 0.743 (0.769)	Data 0.002 (0.002)	Loss 2.2156 (2.2183)	Prec@1 45.312 (44.228)	Prec@5 73.438 (74.906)
Epoch: [37][5600/14090]	Time 0.766 (0.769)	Data 0.001 (0.002)	Loss 2.4645 (2.2184)	Prec@1 38.281 (44.226)	Prec@5 71.094 (74.903)
Epoch: [37][5610/14090]	Time 0.784 (0.769)	Data 0.001 (0.002)	Loss 2.3481 (2.2185)	Prec@1 42.188 (44.226)	Prec@5 74.219 (74.902)
Epoch: [37][5620/14090]	Time 0.762 (0.769)	Data 0.001 (0.002)	Loss 2.1955 (2.2186)	Prec@1 47.656 (44.225)	Prec@5 71.875 (74.898)
Epoch: [37][5630/14090]	Time 0.737 (0.769)	Data 0.001 (0.002)	Loss 2.3673 (2.2186)	Prec@1 40.625 (44.223)	Prec@5 74.219 (74.898)
Epoch: [37][5640/14090]	Time 0.819 (0.769)	Data 0.001 (0.002)	Loss 2.3052 (2.2187)	Prec@1 43.750 (44.222)	Prec@5 68.750 (74.896)
Epoch: [37][5650/14090]	Time 0.733 (0.769)	Data 0.001 (0.002)	Loss 2.0022 (2.2186)	Prec@1 49.219 (44.226)	Prec@5 78.906 (74.898)
Epoch: [37][5660/14090]	Time 0.757 (0.769)	Data 0.001 (0.002)	Loss 2.1781 (2.2187)	Prec@1 49.219 (44.222)	Prec@5 75.000 (74.897)
Epoch: [37][5670/14090]	Time 0.787 (0.769)	Data 0.001 (0.002)	Loss 2.2008 (2.2187)	Prec@1 43.750 (44.223)	Prec@5 69.531 (74.894)
Epoch: [37][5680/14090]	Time 0.735 (0.769)	Data 0.001 (0.002)	Loss 2.2166 (2.2187)	Prec@1 46.875 (44.222)	Prec@5 74.219 (74.894)
Epoch: [37][5690/14090]	Time 0.754 (0.769)	Data 0.001 (0.002)	Loss 2.1935 (2.2187)	Prec@1 46.875 (44.221)	Prec@5 75.781 (74.894)
Epoch: [37][5700/14090]	Time 0.724 (0.769)	Data 0.001 (0.002)	Loss 2.4182 (2.2188)	Prec@1 37.500 (44.216)	Prec@5 69.531 (74.890)
Epoch: [37][5710/14090]	Time 0.862 (0.769)	Data 0.001 (0.002)	Loss 2.1145 (2.2188)	Prec@1 41.406 (44.216)	Prec@5 75.781 (74.887)
Epoch: [37][5720/14090]	Time 0.737 (0.769)	Data 0.001 (0.002)	Loss 1.9578 (2.2188)	Prec@1 45.312 (44.214)	Prec@5 82.031 (74.886)
Epoch: [37][5730/14090]	Time 0.737 (0.769)	Data 0.001 (0.002)	Loss 2.1812 (2.2188)	Prec@1 45.312 (44.213)	Prec@5 75.781 (74.885)
Epoch: [37][5740/14090]	Time 0.731 (0.769)	Data 0.001 (0.002)	Loss 2.4713 (2.2190)	Prec@1 43.750 (44.209)	Prec@5 73.438 (74.881)
Epoch: [37][5750/14090]	Time 0.779 (0.769)	Data 0.001 (0.002)	Loss 2.0406 (2.2190)	Prec@1 50.781 (44.213)	Prec@5 78.125 (74.884)
Epoch: [37][5760/14090]	Time 0.727 (0.769)	Data 0.001 (0.002)	Loss 2.1731 (2.2192)	Prec@1 46.875 (44.208)	Prec@5 76.562 (74.881)
Epoch: [37][5770/14090]	Time 0.755 (0.769)	Data 0.001 (0.002)	Loss 2.4266 (2.2191)	Prec@1 33.594 (44.205)	Prec@5 67.188 (74.880)
Epoch: [37][5780/14090]	Time 0.866 (0.769)	Data 0.001 (0.002)	Loss 2.0250 (2.2191)	Prec@1 47.656 (44.209)	Prec@5 84.375 (74.882)
Epoch: [37][5790/14090]	Time 0.739 (0.769)	Data 0.001 (0.002)	Loss 2.3125 (2.2190)	Prec@1 44.531 (44.210)	Prec@5 75.000 (74.882)
Epoch: [37][5800/14090]	Time 0.740 (0.769)	Data 0.001 (0.002)	Loss 2.4555 (2.2189)	Prec@1 40.625 (44.211)	Prec@5 67.188 (74.884)
Epoch: [37][5810/14090]	Time 0.741 (0.769)	Data 0.001 (0.002)	Loss 2.5828 (2.2189)	Prec@1 39.844 (44.211)	Prec@5 68.750 (74.886)
Epoch: [37][5820/14090]	Time 0.732 (0.769)	Data 0.001 (0.002)	Loss 2.1550 (2.2190)	Prec@1 42.188 (44.208)	Prec@5 75.781 (74.885)
Epoch: [37][5830/14090]	Time 0.723 (0.769)	Data 0.001 (0.002)	Loss 2.4970 (2.2191)	Prec@1 39.062 (44.205)	Prec@5 72.656 (74.884)
Epoch: [37][5840/14090]	Time 0.746 (0.769)	Data 0.001 (0.002)	Loss 2.3203 (2.2191)	Prec@1 42.969 (44.204)	Prec@5 74.219 (74.884)
Epoch: [37][5850/14090]	Time 0.838 (0.769)	Data 0.001 (0.002)	Loss 2.1825 (2.2191)	Prec@1 42.188 (44.201)	Prec@5 77.344 (74.885)
Epoch: [37][5860/14090]	Time 0.729 (0.769)	Data 0.001 (0.002)	Loss 2.1398 (2.2191)	Prec@1 47.656 (44.203)	Prec@5 75.000 (74.882)
Epoch: [37][5870/14090]	Time 0.749 (0.769)	Data 0.001 (0.002)	Loss 2.0818 (2.2191)	Prec@1 49.219 (44.203)	Prec@5 77.344 (74.881)
Epoch: [37][5880/14090]	Time 0.756 (0.769)	Data 0.001 (0.002)	Loss 2.0434 (2.2192)	Prec@1 42.969 (44.200)	Prec@5 77.344 (74.877)
Epoch: [37][5890/14090]	Time 0.746 (0.769)	Data 0.001 (0.002)	Loss 2.1556 (2.2192)	Prec@1 53.125 (44.202)	Prec@5 74.219 (74.878)
Epoch: [37][5900/14090]	Time 0.733 (0.769)	Data 0.001 (0.002)	Loss 2.0597 (2.2193)	Prec@1 46.875 (44.197)	Prec@5 82.031 (74.875)
Epoch: [37][5910/14090]	Time 0.747 (0.769)	Data 0.001 (0.002)	Loss 2.1148 (2.2194)	Prec@1 50.781 (44.194)	Prec@5 76.562 (74.875)
Epoch: [37][5920/14090]	Time 0.844 (0.769)	Data 0.001 (0.002)	Loss 2.2442 (2.2194)	Prec@1 42.969 (44.193)	Prec@5 75.000 (74.877)
Epoch: [37][5930/14090]	Time 0.746 (0.769)	Data 0.001 (0.002)	Loss 2.5229 (2.2196)	Prec@1 34.375 (44.188)	Prec@5 66.406 (74.872)
Epoch: [37][5940/14090]	Time 0.745 (0.769)	Data 0.001 (0.002)	Loss 2.1049 (2.2194)	Prec@1 49.219 (44.190)	Prec@5 78.125 (74.875)
Epoch: [37][5950/14090]	Time 0.787 (0.769)	Data 0.001 (0.002)	Loss 2.1189 (2.2194)	Prec@1 52.344 (44.191)	Prec@5 74.219 (74.873)
Epoch: [37][5960/14090]	Time 0.720 (0.769)	Data 0.001 (0.002)	Loss 1.9739 (2.2193)	Prec@1 52.344 (44.191)	Prec@5 78.125 (74.874)
Epoch: [37][5970/14090]	Time 0.744 (0.769)	Data 0.001 (0.002)	Loss 2.0084 (2.2193)	Prec@1 47.656 (44.190)	Prec@5 75.000 (74.873)
Epoch: [37][5980/14090]	Time 0.745 (0.769)	Data 0.001 (0.002)	Loss 2.0684 (2.2194)	Prec@1 42.969 (44.184)	Prec@5 78.125 (74.871)
Epoch: [37][5990/14090]	Time 0.878 (0.769)	Data 0.001 (0.002)	Loss 2.3977 (2.2194)	Prec@1 39.844 (44.187)	Prec@5 72.656 (74.871)
Epoch: [37][6000/14090]	Time 0.735 (0.769)	Data 0.001 (0.002)	Loss 2.1800 (2.2193)	Prec@1 50.781 (44.189)	Prec@5 75.000 (74.873)
Epoch: [37][6010/14090]	Time 0.759 (0.769)	Data 0.001 (0.002)	Loss 2.0378 (2.2192)	Prec@1 42.969 (44.191)	Prec@5 73.438 (74.874)
Epoch: [37][6020/14090]	Time 0.747 (0.769)	Data 0.001 (0.002)	Loss 2.4254 (2.2192)	Prec@1 38.281 (44.190)	Prec@5 74.219 (74.875)
Epoch: [37][6030/14090]	Time 0.736 (0.769)	Data 0.001 (0.002)	Loss 2.2372 (2.2193)	Prec@1 42.188 (44.190)	Prec@5 71.094 (74.873)
Epoch: [37][6040/14090]	Time 0.778 (0.769)	Data 0.001 (0.002)	Loss 2.2913 (2.2193)	Prec@1 39.844 (44.190)	Prec@5 72.656 (74.872)
Epoch: [37][6050/14090]	Time 0.757 (0.769)	Data 0.001 (0.002)	Loss 2.5336 (2.2194)	Prec@1 42.969 (44.193)	Prec@5 67.969 (74.870)
Epoch: [37][6060/14090]	Time 0.846 (0.769)	Data 0.001 (0.002)	Loss 2.5391 (2.2196)	Prec@1 37.500 (44.185)	Prec@5 68.750 (74.866)
Epoch: [37][6070/14090]	Time 0.767 (0.769)	Data 0.001 (0.002)	Loss 2.4496 (2.2198)	Prec@1 38.281 (44.185)	Prec@5 71.875 (74.866)
Epoch: [37][6080/14090]	Time 0.769 (0.769)	Data 0.001 (0.002)	Loss 2.3214 (2.2198)	Prec@1 46.875 (44.183)	Prec@5 70.312 (74.864)
Epoch: [37][6090/14090]	Time 0.746 (0.769)	Data 0.001 (0.002)	Loss 2.2073 (2.2200)	Prec@1 42.969 (44.182)	Prec@5 73.438 (74.860)
Epoch: [37][6100/14090]	Time 0.765 (0.769)	Data 0.001 (0.002)	Loss 2.1822 (2.2200)	Prec@1 47.656 (44.184)	Prec@5 78.125 (74.861)
Epoch: [37][6110/14090]	Time 0.745 (0.769)	Data 0.001 (0.002)	Loss 2.2669 (2.2202)	Prec@1 44.531 (44.181)	Prec@5 69.531 (74.857)
Epoch: [37][6120/14090]	Time 0.736 (0.769)	Data 0.001 (0.002)	Loss 2.1929 (2.2202)	Prec@1 45.312 (44.180)	Prec@5 80.469 (74.858)
Epoch: [37][6130/14090]	Time 0.874 (0.769)	Data 0.001 (0.002)	Loss 2.1151 (2.2203)	Prec@1 53.125 (44.180)	Prec@5 78.906 (74.858)
Epoch: [37][6140/14090]	Time 0.722 (0.769)	Data 0.001 (0.002)	Loss 1.8711 (2.2202)	Prec@1 51.562 (44.181)	Prec@5 82.031 (74.862)
Epoch: [37][6150/14090]	Time 0.726 (0.769)	Data 0.001 (0.002)	Loss 2.1916 (2.2202)	Prec@1 45.312 (44.180)	Prec@5 78.125 (74.861)
Epoch: [37][6160/14090]	Time 0.772 (0.769)	Data 0.001 (0.002)	Loss 2.2781 (2.2202)	Prec@1 39.844 (44.181)	Prec@5 71.875 (74.860)
Epoch: [37][6170/14090]	Time 0.756 (0.769)	Data 0.001 (0.002)	Loss 2.3341 (2.2203)	Prec@1 38.281 (44.178)	Prec@5 71.875 (74.859)
Epoch: [37][6180/14090]	Time 0.744 (0.769)	Data 0.001 (0.002)	Loss 2.0586 (2.2201)	Prec@1 49.219 (44.181)	Prec@5 76.562 (74.859)
Epoch: [37][6190/14090]	Time 0.731 (0.769)	Data 0.001 (0.002)	Loss 2.2598 (2.2202)	Prec@1 46.094 (44.178)	Prec@5 72.656 (74.858)
Epoch: [37][6200/14090]	Time 0.860 (0.769)	Data 0.001 (0.002)	Loss 2.1416 (2.2202)	Prec@1 45.312 (44.178)	Prec@5 75.781 (74.858)
Epoch: [37][6210/14090]	Time 0.723 (0.769)	Data 0.001 (0.002)	Loss 2.2089 (2.2202)	Prec@1 41.406 (44.176)	Prec@5 73.438 (74.858)
Epoch: [37][6220/14090]	Time 0.746 (0.769)	Data 0.001 (0.002)	Loss 2.1901 (2.2201)	Prec@1 53.125 (44.182)	Prec@5 71.875 (74.861)
Epoch: [37][6230/14090]	Time 0.747 (0.769)	Data 0.001 (0.002)	Loss 2.2634 (2.2202)	Prec@1 39.844 (44.181)	Prec@5 75.781 (74.859)
Epoch: [37][6240/14090]	Time 0.760 (0.769)	Data 0.001 (0.002)	Loss 2.1339 (2.2201)	Prec@1 42.969 (44.182)	Prec@5 75.000 (74.859)
Epoch: [37][6250/14090]	Time 0.765 (0.769)	Data 0.001 (0.002)	Loss 2.1321 (2.2201)	Prec@1 42.969 (44.181)	Prec@5 74.219 (74.860)
Epoch: [37][6260/14090]	Time 0.775 (0.769)	Data 0.001 (0.002)	Loss 2.1936 (2.2201)	Prec@1 45.312 (44.183)	Prec@5 74.219 (74.862)
Epoch: [37][6270/14090]	Time 0.881 (0.769)	Data 0.001 (0.002)	Loss 2.4284 (2.2201)	Prec@1 31.250 (44.181)	Prec@5 70.312 (74.859)
Epoch: [37][6280/14090]	Time 0.764 (0.769)	Data 0.001 (0.002)	Loss 2.1483 (2.2202)	Prec@1 48.438 (44.178)	Prec@5 75.781 (74.858)
Epoch: [37][6290/14090]	Time 0.738 (0.769)	Data 0.001 (0.002)	Loss 2.2562 (2.2202)	Prec@1 43.750 (44.181)	Prec@5 75.000 (74.859)
Epoch: [37][6300/14090]	Time 0.756 (0.769)	Data 0.001 (0.002)	Loss 2.5290 (2.2202)	Prec@1 45.312 (44.183)	Prec@5 67.188 (74.858)
Epoch: [37][6310/14090]	Time 0.731 (0.769)	Data 0.001 (0.002)	Loss 2.3999 (2.2203)	Prec@1 41.406 (44.181)	Prec@5 71.875 (74.855)
Epoch: [37][6320/14090]	Time 0.758 (0.769)	Data 0.001 (0.002)	Loss 1.9679 (2.2203)	Prec@1 46.094 (44.183)	Prec@5 78.125 (74.854)
Epoch: [37][6330/14090]	Time 0.755 (0.769)	Data 0.001 (0.002)	Loss 1.9524 (2.2203)	Prec@1 52.344 (44.182)	Prec@5 78.906 (74.853)
Epoch: [37][6340/14090]	Time 0.899 (0.769)	Data 0.001 (0.002)	Loss 2.2473 (2.2203)	Prec@1 47.656 (44.180)	Prec@5 75.000 (74.850)
Epoch: [37][6350/14090]	Time 0.733 (0.769)	Data 0.002 (0.002)	Loss 2.4626 (2.2205)	Prec@1 39.062 (44.180)	Prec@5 68.750 (74.847)
Epoch: [37][6360/14090]	Time 0.726 (0.769)	Data 0.001 (0.002)	Loss 2.2216 (2.2205)	Prec@1 37.500 (44.177)	Prec@5 80.469 (74.848)
Epoch: [37][6370/14090]	Time 0.730 (0.769)	Data 0.001 (0.002)	Loss 2.1663 (2.2204)	Prec@1 47.656 (44.177)	Prec@5 77.344 (74.850)
Epoch: [37][6380/14090]	Time 0.772 (0.769)	Data 0.001 (0.002)	Loss 2.3463 (2.2203)	Prec@1 42.188 (44.180)	Prec@5 73.438 (74.851)
Epoch: [37][6390/14090]	Time 0.752 (0.769)	Data 0.001 (0.002)	Loss 2.1024 (2.2203)	Prec@1 47.656 (44.178)	Prec@5 76.562 (74.852)
Epoch: [37][6400/14090]	Time 0.756 (0.769)	Data 0.001 (0.002)	Loss 2.2472 (2.2204)	Prec@1 42.969 (44.178)	Prec@5 78.125 (74.853)
Epoch: [37][6410/14090]	Time 0.851 (0.769)	Data 0.001 (0.002)	Loss 2.6255 (2.2205)	Prec@1 42.188 (44.174)	Prec@5 69.531 (74.849)
Epoch: [37][6420/14090]	Time 0.749 (0.769)	Data 0.001 (0.002)	Loss 2.1464 (2.2205)	Prec@1 46.875 (44.174)	Prec@5 74.219 (74.849)
Epoch: [37][6430/14090]	Time 0.753 (0.769)	Data 0.002 (0.002)	Loss 2.1830 (2.2206)	Prec@1 44.531 (44.175)	Prec@5 75.000 (74.851)
Epoch: [37][6440/14090]	Time 0.772 (0.769)	Data 0.001 (0.002)	Loss 2.2044 (2.2206)	Prec@1 43.750 (44.174)	Prec@5 71.094 (74.851)
Epoch: [37][6450/14090]	Time 0.739 (0.769)	Data 0.001 (0.002)	Loss 2.5682 (2.2208)	Prec@1 36.719 (44.171)	Prec@5 68.750 (74.847)
Epoch: [37][6460/14090]	Time 0.762 (0.769)	Data 0.001 (0.002)	Loss 1.9575 (2.2208)	Prec@1 49.219 (44.171)	Prec@5 81.250 (74.847)
Epoch: [37][6470/14090]	Time 0.757 (0.769)	Data 0.001 (0.002)	Loss 2.3704 (2.2208)	Prec@1 42.188 (44.172)	Prec@5 73.438 (74.849)
Epoch: [37][6480/14090]	Time 0.831 (0.769)	Data 0.001 (0.002)	Loss 2.4710 (2.2208)	Prec@1 40.625 (44.174)	Prec@5 61.719 (74.847)
Epoch: [37][6490/14090]	Time 0.749 (0.769)	Data 0.001 (0.002)	Loss 1.9411 (2.2207)	Prec@1 50.000 (44.175)	Prec@5 77.344 (74.845)
Epoch: [37][6500/14090]	Time 0.758 (0.769)	Data 0.001 (0.002)	Loss 2.1366 (2.2209)	Prec@1 45.312 (44.172)	Prec@5 78.906 (74.842)
Epoch: [37][6510/14090]	Time 0.743 (0.769)	Data 0.001 (0.002)	Loss 2.1594 (2.2210)	Prec@1 43.750 (44.171)	Prec@5 75.781 (74.841)
Epoch: [37][6520/14090]	Time 0.778 (0.769)	Data 0.001 (0.002)	Loss 2.4586 (2.2209)	Prec@1 35.938 (44.172)	Prec@5 71.094 (74.842)
Epoch: [37][6530/14090]	Time 0.761 (0.769)	Data 0.001 (0.002)	Loss 1.9362 (2.2210)	Prec@1 46.094 (44.169)	Prec@5 78.906 (74.841)
Epoch: [37][6540/14090]	Time 0.758 (0.769)	Data 0.001 (0.002)	Loss 2.2223 (2.2209)	Prec@1 45.312 (44.171)	Prec@5 78.906 (74.842)
Epoch: [37][6550/14090]	Time 0.855 (0.769)	Data 0.001 (0.002)	Loss 2.2776 (2.2209)	Prec@1 41.406 (44.169)	Prec@5 75.781 (74.845)
Epoch: [37][6560/14090]	Time 0.751 (0.769)	Data 0.001 (0.002)	Loss 2.0966 (2.2209)	Prec@1 47.656 (44.168)	Prec@5 81.250 (74.845)
Epoch: [37][6570/14090]	Time 0.779 (0.769)	Data 0.001 (0.002)	Loss 2.3227 (2.2210)	Prec@1 45.312 (44.166)	Prec@5 71.094 (74.844)
Epoch: [37][6580/14090]	Time 0.760 (0.769)	Data 0.001 (0.002)	Loss 2.2746 (2.2210)	Prec@1 43.750 (44.167)	Prec@5 75.781 (74.844)
Epoch: [37][6590/14090]	Time 0.741 (0.769)	Data 0.001 (0.002)	Loss 2.1423 (2.2210)	Prec@1 46.094 (44.166)	Prec@5 75.781 (74.844)
Epoch: [37][6600/14090]	Time 0.736 (0.769)	Data 0.001 (0.002)	Loss 2.3492 (2.2211)	Prec@1 48.438 (44.162)	Prec@5 69.531 (74.842)
Epoch: [37][6610/14090]	Time 0.761 (0.769)	Data 0.001 (0.002)	Loss 2.3059 (2.2211)	Prec@1 41.406 (44.162)	Prec@5 75.000 (74.844)
Epoch: [37][6620/14090]	Time 0.872 (0.769)	Data 0.001 (0.002)	Loss 2.0230 (2.2212)	Prec@1 42.969 (44.161)	Prec@5 80.469 (74.842)
Epoch: [37][6630/14090]	Time 0.731 (0.769)	Data 0.001 (0.002)	Loss 1.9935 (2.2212)	Prec@1 48.438 (44.163)	Prec@5 78.906 (74.840)
Epoch: [37][6640/14090]	Time 0.725 (0.769)	Data 0.001 (0.002)	Loss 2.4422 (2.2213)	Prec@1 39.844 (44.161)	Prec@5 71.094 (74.839)
Epoch: [37][6650/14090]	Time 0.731 (0.769)	Data 0.001 (0.002)	Loss 2.0063 (2.2211)	Prec@1 46.094 (44.165)	Prec@5 77.344 (74.841)
Epoch: [37][6660/14090]	Time 0.748 (0.769)	Data 0.001 (0.002)	Loss 2.3577 (2.2213)	Prec@1 46.094 (44.164)	Prec@5 71.875 (74.839)
Epoch: [37][6670/14090]	Time 0.737 (0.769)	Data 0.001 (0.002)	Loss 2.2661 (2.2213)	Prec@1 39.062 (44.163)	Prec@5 73.438 (74.839)
Epoch: [37][6680/14090]	Time 0.784 (0.769)	Data 0.001 (0.002)	Loss 2.1201 (2.2213)	Prec@1 46.094 (44.161)	Prec@5 71.875 (74.839)
Epoch: [37][6690/14090]	Time 0.884 (0.769)	Data 0.001 (0.002)	Loss 2.2153 (2.2213)	Prec@1 47.656 (44.161)	Prec@5 75.781 (74.840)
Epoch: [37][6700/14090]	Time 0.729 (0.769)	Data 0.001 (0.002)	Loss 2.1417 (2.2213)	Prec@1 47.656 (44.161)	Prec@5 75.781 (74.840)
Epoch: [37][6710/14090]	Time 0.766 (0.769)	Data 0.001 (0.002)	Loss 2.1826 (2.2212)	Prec@1 43.750 (44.162)	Prec@5 78.906 (74.841)
Epoch: [37][6720/14090]	Time 0.727 (0.769)	Data 0.001 (0.002)	Loss 2.1652 (2.2212)	Prec@1 47.656 (44.164)	Prec@5 77.344 (74.841)
Epoch: [37][6730/14090]	Time 0.743 (0.769)	Data 0.001 (0.002)	Loss 2.3678 (2.2212)	Prec@1 45.312 (44.165)	Prec@5 72.656 (74.838)
Epoch: [37][6740/14090]	Time 0.766 (0.769)	Data 0.001 (0.002)	Loss 2.2878 (2.2212)	Prec@1 46.094 (44.165)	Prec@5 74.219 (74.838)
Epoch: [37][6750/14090]	Time 0.777 (0.769)	Data 0.001 (0.002)	Loss 2.5544 (2.2212)	Prec@1 35.938 (44.165)	Prec@5 71.875 (74.836)
Epoch: [37][6760/14090]	Time 0.910 (0.769)	Data 0.001 (0.002)	Loss 2.3187 (2.2211)	Prec@1 39.844 (44.166)	Prec@5 72.656 (74.838)
Epoch: [37][6770/14090]	Time 0.736 (0.769)	Data 0.001 (0.002)	Loss 2.4427 (2.2211)	Prec@1 46.094 (44.168)	Prec@5 73.438 (74.838)
Epoch: [37][6780/14090]	Time 0.768 (0.769)	Data 0.001 (0.002)	Loss 2.3505 (2.2211)	Prec@1 38.281 (44.169)	Prec@5 76.562 (74.839)
Epoch: [37][6790/14090]	Time 0.770 (0.769)	Data 0.001 (0.002)	Loss 2.4098 (2.2210)	Prec@1 38.281 (44.169)	Prec@5 70.312 (74.840)
Epoch: [37][6800/14090]	Time 0.749 (0.769)	Data 0.001 (0.002)	Loss 2.2420 (2.2210)	Prec@1 42.969 (44.169)	Prec@5 78.125 (74.841)
Epoch: [37][6810/14090]	Time 0.752 (0.769)	Data 0.001 (0.002)	Loss 2.2156 (2.2210)	Prec@1 42.188 (44.169)	Prec@5 71.875 (74.840)
Epoch: [37][6820/14090]	Time 0.732 (0.769)	Data 0.001 (0.002)	Loss 2.6136 (2.2211)	Prec@1 47.656 (44.168)	Prec@5 67.969 (74.841)
Epoch: [37][6830/14090]	Time 0.845 (0.769)	Data 0.001 (0.002)	Loss 2.2992 (2.2210)	Prec@1 40.625 (44.170)	Prec@5 73.438 (74.843)
Epoch: [37][6840/14090]	Time 0.765 (0.769)	Data 0.001 (0.002)	Loss 2.3028 (2.2211)	Prec@1 45.312 (44.170)	Prec@5 75.781 (74.842)
Epoch: [37][6850/14090]	Time 0.743 (0.769)	Data 0.001 (0.002)	Loss 2.3673 (2.2210)	Prec@1 39.062 (44.171)	Prec@5 74.219 (74.843)
Epoch: [37][6860/14090]	Time 0.753 (0.769)	Data 0.001 (0.002)	Loss 2.3598 (2.2211)	Prec@1 41.406 (44.168)	Prec@5 74.219 (74.841)
Epoch: [37][6870/14090]	Time 0.757 (0.769)	Data 0.001 (0.001)	Loss 2.2099 (2.2211)	Prec@1 46.094 (44.169)	Prec@5 71.875 (74.841)
Epoch: [37][6880/14090]	Time 0.758 (0.769)	Data 0.001 (0.001)	Loss 2.0963 (2.2211)	Prec@1 46.875 (44.171)	Prec@5 74.219 (74.838)
Epoch: [37][6890/14090]	Time 0.770 (0.769)	Data 0.001 (0.001)	Loss 2.6792 (2.2213)	Prec@1 38.281 (44.169)	Prec@5 64.062 (74.836)
Epoch: [37][6900/14090]	Time 0.894 (0.769)	Data 0.001 (0.001)	Loss 2.1961 (2.2215)	Prec@1 41.406 (44.164)	Prec@5 75.000 (74.831)
Epoch: [37][6910/14090]	Time 0.743 (0.769)	Data 0.001 (0.001)	Loss 2.1644 (2.2215)	Prec@1 41.406 (44.163)	Prec@5 78.906 (74.832)
Epoch: [37][6920/14090]	Time 0.755 (0.769)	Data 0.001 (0.001)	Loss 2.0375 (2.2214)	Prec@1 47.656 (44.163)	Prec@5 80.469 (74.834)
Epoch: [37][6930/14090]	Time 0.755 (0.769)	Data 0.001 (0.001)	Loss 2.0194 (2.2214)	Prec@1 48.438 (44.164)	Prec@5 82.812 (74.835)
Epoch: [37][6940/14090]	Time 0.767 (0.769)	Data 0.001 (0.001)	Loss 2.0381 (2.2213)	Prec@1 43.750 (44.163)	Prec@5 75.000 (74.835)
Epoch: [37][6950/14090]	Time 0.735 (0.769)	Data 0.001 (0.001)	Loss 2.0349 (2.2212)	Prec@1 50.000 (44.166)	Prec@5 76.562 (74.836)
Epoch: [37][6960/14090]	Time 0.741 (0.769)	Data 0.001 (0.001)	Loss 2.2402 (2.2212)	Prec@1 42.969 (44.164)	Prec@5 77.344 (74.836)
Epoch: [37][6970/14090]	Time 0.889 (0.769)	Data 0.001 (0.001)	Loss 2.2858 (2.2212)	Prec@1 42.969 (44.163)	Prec@5 72.656 (74.836)
Epoch: [37][6980/14090]	Time 0.730 (0.769)	Data 0.001 (0.001)	Loss 2.1615 (2.2212)	Prec@1 36.719 (44.163)	Prec@5 75.781 (74.837)
Epoch: [37][6990/14090]	Time 0.749 (0.769)	Data 0.001 (0.001)	Loss 2.1434 (2.2212)	Prec@1 42.188 (44.163)	Prec@5 76.562 (74.838)
Epoch: [37][7000/14090]	Time 0.737 (0.769)	Data 0.001 (0.001)	Loss 1.9185 (2.2211)	Prec@1 51.562 (44.164)	Prec@5 83.594 (74.838)
Epoch: [37][7010/14090]	Time 0.756 (0.769)	Data 0.001 (0.001)	Loss 2.0171 (2.2211)	Prec@1 46.875 (44.164)	Prec@5 78.906 (74.837)
Epoch: [37][7020/14090]	Time 0.772 (0.769)	Data 0.001 (0.001)	Loss 2.2340 (2.2212)	Prec@1 43.750 (44.164)	Prec@5 75.781 (74.837)
Epoch: [37][7030/14090]	Time 0.748 (0.769)	Data 0.001 (0.001)	Loss 2.3314 (2.2211)	Prec@1 36.719 (44.162)	Prec@5 71.094 (74.838)
Epoch: [37][7040/14090]	Time 0.826 (0.769)	Data 0.001 (0.001)	Loss 2.3665 (2.2211)	Prec@1 42.969 (44.164)	Prec@5 72.656 (74.838)
Epoch: [37][7050/14090]	Time 0.740 (0.769)	Data 0.001 (0.001)	Loss 2.4414 (2.2210)	Prec@1 40.625 (44.166)	Prec@5 75.000 (74.839)
Epoch: [37][7060/14090]	Time 0.744 (0.768)	Data 0.001 (0.001)	Loss 1.8633 (2.2210)	Prec@1 47.656 (44.166)	Prec@5 81.250 (74.840)
Epoch: [37][7070/14090]	Time 0.759 (0.769)	Data 0.001 (0.001)	Loss 2.3562 (2.2211)	Prec@1 40.625 (44.164)	Prec@5 70.312 (74.837)
Epoch: [37][7080/14090]	Time 0.745 (0.768)	Data 0.001 (0.001)	Loss 2.1425 (2.2211)	Prec@1 40.625 (44.161)	Prec@5 78.125 (74.836)
Epoch: [37][7090/14090]	Time 0.745 (0.769)	Data 0.001 (0.001)	Loss 2.2621 (2.2211)	Prec@1 40.625 (44.161)	Prec@5 78.125 (74.837)
Epoch: [37][7100/14090]	Time 0.749 (0.768)	Data 0.001 (0.001)	Loss 2.2839 (2.2212)	Prec@1 37.500 (44.160)	Prec@5 75.000 (74.836)
Epoch: [37][7110/14090]	Time 0.853 (0.768)	Data 0.001 (0.001)	Loss 2.2026 (2.2212)	Prec@1 41.406 (44.156)	Prec@5 78.906 (74.836)
Epoch: [37][7120/14090]	Time 0.763 (0.768)	Data 0.001 (0.001)	Loss 2.1450 (2.2213)	Prec@1 43.750 (44.154)	Prec@5 75.000 (74.835)
Epoch: [37][7130/14090]	Time 0.733 (0.768)	Data 0.001 (0.001)	Loss 2.2870 (2.2212)	Prec@1 45.312 (44.152)	Prec@5 71.094 (74.836)
Epoch: [37][7140/14090]	Time 0.797 (0.768)	Data 0.001 (0.001)	Loss 2.1210 (2.2212)	Prec@1 45.312 (44.152)	Prec@5 75.000 (74.832)
Epoch: [37][7150/14090]	Time 0.750 (0.768)	Data 0.001 (0.001)	Loss 1.9614 (2.2212)	Prec@1 52.344 (44.153)	Prec@5 79.688 (74.834)
Epoch: [37][7160/14090]	Time 0.747 (0.768)	Data 0.001 (0.001)	Loss 2.3003 (2.2213)	Prec@1 45.312 (44.152)	Prec@5 71.875 (74.830)
Epoch: [37][7170/14090]	Time 0.778 (0.768)	Data 0.001 (0.001)	Loss 2.0883 (2.2213)	Prec@1 46.094 (44.150)	Prec@5 81.250 (74.831)
Epoch: [37][7180/14090]	Time 0.885 (0.768)	Data 0.001 (0.001)	Loss 2.2396 (2.2213)	Prec@1 40.625 (44.153)	Prec@5 75.781 (74.834)
Epoch: [37][7190/14090]	Time 0.763 (0.768)	Data 0.001 (0.001)	Loss 1.8822 (2.2213)	Prec@1 52.344 (44.155)	Prec@5 84.375 (74.835)
Epoch: [37][7200/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 2.5423 (2.2212)	Prec@1 39.062 (44.155)	Prec@5 69.531 (74.836)
Epoch: [37][7210/14090]	Time 0.786 (0.768)	Data 0.001 (0.001)	Loss 2.5348 (2.2212)	Prec@1 38.281 (44.154)	Prec@5 68.750 (74.837)
Epoch: [37][7220/14090]	Time 0.728 (0.768)	Data 0.001 (0.001)	Loss 2.4249 (2.2213)	Prec@1 38.281 (44.153)	Prec@5 70.312 (74.834)
Epoch: [37][7230/14090]	Time 0.756 (0.768)	Data 0.001 (0.001)	Loss 2.3098 (2.2213)	Prec@1 37.500 (44.151)	Prec@5 73.438 (74.834)
Epoch: [37][7240/14090]	Time 0.747 (0.768)	Data 0.001 (0.001)	Loss 2.2864 (2.2213)	Prec@1 42.969 (44.150)	Prec@5 72.656 (74.834)
Epoch: [37][7250/14090]	Time 0.823 (0.768)	Data 0.001 (0.001)	Loss 2.2907 (2.2213)	Prec@1 41.406 (44.150)	Prec@5 70.312 (74.832)
Epoch: [37][7260/14090]	Time 0.745 (0.768)	Data 0.001 (0.001)	Loss 2.2506 (2.2213)	Prec@1 43.750 (44.150)	Prec@5 75.781 (74.833)
Epoch: [37][7270/14090]	Time 0.723 (0.768)	Data 0.001 (0.001)	Loss 2.3430 (2.2214)	Prec@1 41.406 (44.149)	Prec@5 72.656 (74.833)
Epoch: [37][7280/14090]	Time 0.748 (0.768)	Data 0.001 (0.001)	Loss 2.1308 (2.2212)	Prec@1 47.656 (44.152)	Prec@5 76.562 (74.836)
Epoch: [37][7290/14090]	Time 0.752 (0.768)	Data 0.001 (0.001)	Loss 2.1583 (2.2211)	Prec@1 46.875 (44.155)	Prec@5 77.344 (74.838)
Epoch: [37][7300/14090]	Time 0.756 (0.768)	Data 0.003 (0.001)	Loss 2.4546 (2.2211)	Prec@1 39.062 (44.156)	Prec@5 76.562 (74.839)
Epoch: [37][7310/14090]	Time 0.783 (0.768)	Data 0.001 (0.001)	Loss 1.9432 (2.2211)	Prec@1 46.094 (44.152)	Prec@5 80.469 (74.839)
Epoch: [37][7320/14090]	Time 0.829 (0.768)	Data 0.001 (0.001)	Loss 2.5920 (2.2212)	Prec@1 38.281 (44.150)	Prec@5 65.625 (74.839)
Epoch: [37][7330/14090]	Time 0.726 (0.768)	Data 0.001 (0.001)	Loss 2.2266 (2.2212)	Prec@1 43.750 (44.151)	Prec@5 73.438 (74.839)
Epoch: [37][7340/14090]	Time 0.745 (0.768)	Data 0.001 (0.001)	Loss 2.1210 (2.2211)	Prec@1 48.438 (44.154)	Prec@5 76.562 (74.843)
Epoch: [37][7350/14090]	Time 0.747 (0.768)	Data 0.001 (0.001)	Loss 2.3027 (2.2211)	Prec@1 43.750 (44.154)	Prec@5 73.438 (74.843)
Epoch: [37][7360/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 1.9924 (2.2210)	Prec@1 49.219 (44.155)	Prec@5 77.344 (74.844)
Epoch: [37][7370/14090]	Time 0.762 (0.768)	Data 0.001 (0.001)	Loss 2.2468 (2.2210)	Prec@1 49.219 (44.157)	Prec@5 72.656 (74.844)
Epoch: [37][7380/14090]	Time 0.749 (0.768)	Data 0.001 (0.001)	Loss 2.3805 (2.2210)	Prec@1 34.375 (44.156)	Prec@5 73.438 (74.841)
Epoch: [37][7390/14090]	Time 0.892 (0.768)	Data 0.001 (0.001)	Loss 2.2919 (2.2211)	Prec@1 42.969 (44.156)	Prec@5 71.875 (74.839)
Epoch: [37][7400/14090]	Time 0.737 (0.768)	Data 0.001 (0.001)	Loss 2.0862 (2.2210)	Prec@1 47.656 (44.159)	Prec@5 82.812 (74.840)
Epoch: [37][7410/14090]	Time 0.741 (0.768)	Data 0.001 (0.001)	Loss 2.2721 (2.2211)	Prec@1 42.188 (44.158)	Prec@5 76.562 (74.839)
Epoch: [37][7420/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 2.0548 (2.2212)	Prec@1 45.312 (44.156)	Prec@5 77.344 (74.837)
Epoch: [37][7430/14090]	Time 0.752 (0.768)	Data 0.001 (0.001)	Loss 2.0030 (2.2212)	Prec@1 46.875 (44.155)	Prec@5 81.250 (74.836)
Epoch: [37][7440/14090]	Time 0.759 (0.768)	Data 0.001 (0.001)	Loss 2.1040 (2.2212)	Prec@1 42.188 (44.156)	Prec@5 76.562 (74.838)
Epoch: [37][7450/14090]	Time 0.764 (0.768)	Data 0.001 (0.001)	Loss 1.9416 (2.2211)	Prec@1 53.125 (44.158)	Prec@5 78.125 (74.837)
Epoch: [37][7460/14090]	Time 0.918 (0.768)	Data 0.001 (0.001)	Loss 2.3499 (2.2211)	Prec@1 46.875 (44.160)	Prec@5 69.531 (74.836)
Epoch: [37][7470/14090]	Time 0.779 (0.768)	Data 0.001 (0.001)	Loss 2.4431 (2.2210)	Prec@1 39.062 (44.162)	Prec@5 73.438 (74.838)
Epoch: [37][7480/14090]	Time 0.737 (0.768)	Data 0.001 (0.001)	Loss 2.0805 (2.2211)	Prec@1 45.312 (44.161)	Prec@5 75.781 (74.839)
Epoch: [37][7490/14090]	Time 0.782 (0.768)	Data 0.001 (0.001)	Loss 2.4173 (2.2210)	Prec@1 36.719 (44.162)	Prec@5 74.219 (74.841)
Epoch: [37][7500/14090]	Time 0.763 (0.768)	Data 0.001 (0.001)	Loss 2.0699 (2.2210)	Prec@1 50.000 (44.160)	Prec@5 76.562 (74.842)
Epoch: [37][7510/14090]	Time 0.737 (0.768)	Data 0.001 (0.001)	Loss 2.2936 (2.2209)	Prec@1 49.219 (44.162)	Prec@5 67.969 (74.842)
Epoch: [37][7520/14090]	Time 0.730 (0.768)	Data 0.001 (0.001)	Loss 2.1312 (2.2210)	Prec@1 46.094 (44.161)	Prec@5 74.219 (74.841)
Epoch: [37][7530/14090]	Time 0.833 (0.768)	Data 0.001 (0.001)	Loss 2.0225 (2.2210)	Prec@1 50.000 (44.162)	Prec@5 80.469 (74.840)
Epoch: [37][7540/14090]	Time 0.762 (0.768)	Data 0.001 (0.001)	Loss 1.9705 (2.2210)	Prec@1 46.875 (44.161)	Prec@5 80.469 (74.840)
Epoch: [37][7550/14090]	Time 0.765 (0.768)	Data 0.001 (0.001)	Loss 2.0873 (2.2210)	Prec@1 53.125 (44.161)	Prec@5 73.438 (74.838)
Epoch: [37][7560/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 2.1476 (2.2211)	Prec@1 50.000 (44.162)	Prec@5 74.219 (74.836)
Epoch: [37][7570/14090]	Time 0.755 (0.768)	Data 0.001 (0.001)	Loss 1.9959 (2.2210)	Prec@1 49.219 (44.163)	Prec@5 78.906 (74.842)
Epoch: [37][7580/14090]	Time 0.754 (0.768)	Data 0.001 (0.001)	Loss 2.2640 (2.2210)	Prec@1 46.094 (44.163)	Prec@5 72.656 (74.842)
Epoch: [37][7590/14090]	Time 0.733 (0.768)	Data 0.001 (0.001)	Loss 2.0999 (2.2209)	Prec@1 43.750 (44.165)	Prec@5 76.562 (74.843)
Epoch: [37][7600/14090]	Time 0.880 (0.768)	Data 0.001 (0.001)	Loss 2.0435 (2.2208)	Prec@1 51.562 (44.167)	Prec@5 77.344 (74.845)
Epoch: [37][7610/14090]	Time 0.730 (0.768)	Data 0.001 (0.001)	Loss 2.3983 (2.2208)	Prec@1 38.281 (44.164)	Prec@5 71.875 (74.846)
Epoch: [37][7620/14090]	Time 0.745 (0.768)	Data 0.001 (0.001)	Loss 2.2876 (2.2209)	Prec@1 42.969 (44.164)	Prec@5 71.875 (74.845)
Epoch: [37][7630/14090]	Time 0.757 (0.768)	Data 0.001 (0.001)	Loss 2.2191 (2.2209)	Prec@1 44.531 (44.165)	Prec@5 75.781 (74.846)
Epoch: [37][7640/14090]	Time 0.742 (0.768)	Data 0.001 (0.001)	Loss 2.1002 (2.2210)	Prec@1 41.406 (44.163)	Prec@5 77.344 (74.845)
Epoch: [37][7650/14090]	Time 0.735 (0.768)	Data 0.001 (0.001)	Loss 2.2283 (2.2212)	Prec@1 45.312 (44.161)	Prec@5 75.000 (74.842)
Epoch: [37][7660/14090]	Time 0.759 (0.768)	Data 0.001 (0.001)	Loss 2.0658 (2.2212)	Prec@1 45.312 (44.160)	Prec@5 78.906 (74.842)
Epoch: [37][7670/14090]	Time 0.890 (0.768)	Data 0.001 (0.001)	Loss 2.1216 (2.2212)	Prec@1 44.531 (44.162)	Prec@5 73.438 (74.842)
Epoch: [37][7680/14090]	Time 0.740 (0.768)	Data 0.001 (0.001)	Loss 2.2877 (2.2212)	Prec@1 47.656 (44.162)	Prec@5 74.219 (74.842)
Epoch: [37][7690/14090]	Time 0.754 (0.768)	Data 0.001 (0.001)	Loss 2.3672 (2.2212)	Prec@1 39.844 (44.158)	Prec@5 73.438 (74.842)
Epoch: [37][7700/14090]	Time 0.760 (0.768)	Data 0.001 (0.001)	Loss 2.2345 (2.2212)	Prec@1 46.875 (44.160)	Prec@5 71.094 (74.841)
Epoch: [37][7710/14090]	Time 0.763 (0.768)	Data 0.001 (0.001)	Loss 2.3236 (2.2213)	Prec@1 41.406 (44.160)	Prec@5 72.656 (74.840)
Epoch: [37][7720/14090]	Time 0.764 (0.768)	Data 0.001 (0.001)	Loss 2.1397 (2.2211)	Prec@1 37.500 (44.160)	Prec@5 73.438 (74.843)
Epoch: [37][7730/14090]	Time 0.745 (0.768)	Data 0.001 (0.001)	Loss 2.2431 (2.2212)	Prec@1 43.750 (44.157)	Prec@5 76.562 (74.840)
Epoch: [37][7740/14090]	Time 0.909 (0.768)	Data 0.001 (0.001)	Loss 2.2002 (2.2213)	Prec@1 44.531 (44.157)	Prec@5 75.000 (74.838)
Epoch: [37][7750/14090]	Time 0.732 (0.768)	Data 0.001 (0.001)	Loss 2.3031 (2.2213)	Prec@1 42.969 (44.159)	Prec@5 71.875 (74.838)
Epoch: [37][7760/14090]	Time 0.758 (0.768)	Data 0.001 (0.001)	Loss 2.1284 (2.2212)	Prec@1 44.531 (44.161)	Prec@5 77.344 (74.841)
Epoch: [37][7770/14090]	Time 0.730 (0.768)	Data 0.001 (0.001)	Loss 2.3051 (2.2212)	Prec@1 42.969 (44.160)	Prec@5 68.750 (74.839)
Epoch: [37][7780/14090]	Time 0.754 (0.768)	Data 0.001 (0.001)	Loss 2.1748 (2.2213)	Prec@1 42.969 (44.156)	Prec@5 74.219 (74.838)
Epoch: [37][7790/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 2.3360 (2.2213)	Prec@1 42.969 (44.156)	Prec@5 72.656 (74.837)
Epoch: [37][7800/14090]	Time 0.767 (0.768)	Data 0.001 (0.001)	Loss 2.2954 (2.2214)	Prec@1 39.844 (44.156)	Prec@5 75.781 (74.837)
Epoch: [37][7810/14090]	Time 0.866 (0.768)	Data 0.001 (0.001)	Loss 2.5537 (2.2214)	Prec@1 39.844 (44.156)	Prec@5 68.750 (74.836)
Epoch: [37][7820/14090]	Time 0.741 (0.768)	Data 0.001 (0.001)	Loss 2.4182 (2.2215)	Prec@1 42.188 (44.153)	Prec@5 70.312 (74.833)
Epoch: [37][7830/14090]	Time 0.756 (0.768)	Data 0.001 (0.001)	Loss 2.1816 (2.2215)	Prec@1 50.000 (44.156)	Prec@5 78.906 (74.835)
Epoch: [37][7840/14090]	Time 0.747 (0.768)	Data 0.001 (0.001)	Loss 2.1271 (2.2215)	Prec@1 45.312 (44.154)	Prec@5 78.906 (74.836)
Epoch: [37][7850/14090]	Time 0.776 (0.768)	Data 0.001 (0.001)	Loss 2.1241 (2.2215)	Prec@1 46.094 (44.156)	Prec@5 80.469 (74.837)
Epoch: [37][7860/14090]	Time 0.755 (0.768)	Data 0.002 (0.001)	Loss 2.2651 (2.2216)	Prec@1 45.312 (44.152)	Prec@5 74.219 (74.835)
Epoch: [37][7870/14090]	Time 0.745 (0.768)	Data 0.001 (0.001)	Loss 2.1722 (2.2217)	Prec@1 43.750 (44.150)	Prec@5 75.000 (74.834)
Epoch: [37][7880/14090]	Time 0.878 (0.768)	Data 0.001 (0.001)	Loss 2.1089 (2.2217)	Prec@1 46.094 (44.147)	Prec@5 71.875 (74.832)
Epoch: [37][7890/14090]	Time 0.768 (0.768)	Data 0.001 (0.001)	Loss 1.9901 (2.2218)	Prec@1 50.781 (44.148)	Prec@5 82.031 (74.832)
Epoch: [37][7900/14090]	Time 0.737 (0.768)	Data 0.001 (0.001)	Loss 2.4091 (2.2218)	Prec@1 42.188 (44.148)	Prec@5 73.438 (74.833)
Epoch: [37][7910/14090]	Time 0.761 (0.768)	Data 0.001 (0.001)	Loss 2.0507 (2.2217)	Prec@1 44.531 (44.147)	Prec@5 76.562 (74.833)
Epoch: [37][7920/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 2.1909 (2.2216)	Prec@1 44.531 (44.147)	Prec@5 75.781 (74.834)
Epoch: [37][7930/14090]	Time 0.750 (0.768)	Data 0.001 (0.001)	Loss 2.4062 (2.2217)	Prec@1 46.875 (44.148)	Prec@5 70.312 (74.831)
Epoch: [37][7940/14090]	Time 0.768 (0.768)	Data 0.001 (0.001)	Loss 2.0988 (2.2218)	Prec@1 48.438 (44.146)	Prec@5 73.438 (74.830)
Epoch: [37][7950/14090]	Time 0.863 (0.768)	Data 0.001 (0.001)	Loss 2.3237 (2.2217)	Prec@1 38.281 (44.148)	Prec@5 74.219 (74.831)
Epoch: [37][7960/14090]	Time 0.735 (0.768)	Data 0.001 (0.001)	Loss 2.4244 (2.2217)	Prec@1 39.844 (44.147)	Prec@5 75.781 (74.830)
Epoch: [37][7970/14090]	Time 0.735 (0.768)	Data 0.001 (0.001)	Loss 2.1343 (2.2217)	Prec@1 40.625 (44.147)	Prec@5 75.781 (74.831)
Epoch: [37][7980/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 1.9603 (2.2217)	Prec@1 55.469 (44.148)	Prec@5 77.344 (74.830)
Epoch: [37][7990/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 2.4632 (2.2218)	Prec@1 46.875 (44.147)	Prec@5 68.750 (74.827)
Epoch: [37][8000/14090]	Time 0.773 (0.768)	Data 0.001 (0.001)	Loss 2.4083 (2.2219)	Prec@1 41.406 (44.146)	Prec@5 71.875 (74.825)
Epoch: [37][8010/14090]	Time 0.729 (0.768)	Data 0.001 (0.001)	Loss 2.4501 (2.2219)	Prec@1 35.156 (44.144)	Prec@5 71.875 (74.825)
Epoch: [37][8020/14090]	Time 0.851 (0.768)	Data 0.001 (0.001)	Loss 2.0753 (2.2221)	Prec@1 50.000 (44.142)	Prec@5 75.000 (74.822)
Epoch: [37][8030/14090]	Time 0.737 (0.768)	Data 0.001 (0.001)	Loss 2.1124 (2.2222)	Prec@1 50.000 (44.141)	Prec@5 76.562 (74.819)
Epoch: [37][8040/14090]	Time 0.728 (0.768)	Data 0.001 (0.001)	Loss 2.3421 (2.2221)	Prec@1 43.750 (44.144)	Prec@5 71.875 (74.819)
Epoch: [37][8050/14090]	Time 0.750 (0.768)	Data 0.001 (0.001)	Loss 2.2383 (2.2221)	Prec@1 38.281 (44.146)	Prec@5 77.344 (74.821)
Epoch: [37][8060/14090]	Time 0.742 (0.768)	Data 0.001 (0.001)	Loss 2.0413 (2.2221)	Prec@1 48.438 (44.146)	Prec@5 78.906 (74.821)
Epoch: [37][8070/14090]	Time 0.776 (0.768)	Data 0.001 (0.001)	Loss 1.9941 (2.2221)	Prec@1 47.656 (44.147)	Prec@5 79.688 (74.821)
Epoch: [37][8080/14090]	Time 0.743 (0.768)	Data 0.001 (0.001)	Loss 2.0635 (2.2220)	Prec@1 46.094 (44.149)	Prec@5 80.469 (74.825)
Epoch: [37][8090/14090]	Time 0.803 (0.768)	Data 0.001 (0.001)	Loss 2.3434 (2.2219)	Prec@1 42.188 (44.150)	Prec@5 71.875 (74.827)
Epoch: [37][8100/14090]	Time 0.734 (0.768)	Data 0.001 (0.001)	Loss 2.2453 (2.2220)	Prec@1 44.531 (44.149)	Prec@5 79.688 (74.825)
Epoch: [37][8110/14090]	Time 0.730 (0.768)	Data 0.001 (0.001)	Loss 1.9954 (2.2220)	Prec@1 47.656 (44.151)	Prec@5 78.906 (74.822)
Epoch: [37][8120/14090]	Time 0.741 (0.768)	Data 0.001 (0.001)	Loss 2.2776 (2.2221)	Prec@1 42.188 (44.151)	Prec@5 70.312 (74.821)
Epoch: [37][8130/14090]	Time 0.750 (0.768)	Data 0.001 (0.001)	Loss 2.2754 (2.2221)	Prec@1 42.188 (44.148)	Prec@5 74.219 (74.821)
Epoch: [37][8140/14090]	Time 0.751 (0.768)	Data 0.001 (0.001)	Loss 2.6223 (2.2222)	Prec@1 38.281 (44.145)	Prec@5 70.312 (74.820)
Epoch: [37][8150/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 2.6274 (2.2223)	Prec@1 35.156 (44.145)	Prec@5 64.062 (74.818)
Epoch: [37][8160/14090]	Time 0.870 (0.768)	Data 0.001 (0.001)	Loss 1.9573 (2.2223)	Prec@1 54.688 (44.148)	Prec@5 75.781 (74.818)
Epoch: [37][8170/14090]	Time 0.742 (0.768)	Data 0.001 (0.001)	Loss 2.0781 (2.2223)	Prec@1 47.656 (44.148)	Prec@5 78.906 (74.819)
Epoch: [37][8180/14090]	Time 0.770 (0.768)	Data 0.001 (0.001)	Loss 1.9471 (2.2222)	Prec@1 52.344 (44.152)	Prec@5 78.906 (74.820)
Epoch: [37][8190/14090]	Time 0.758 (0.768)	Data 0.001 (0.001)	Loss 2.1433 (2.2221)	Prec@1 41.406 (44.154)	Prec@5 75.000 (74.821)
Epoch: [37][8200/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 2.4924 (2.2222)	Prec@1 38.281 (44.152)	Prec@5 70.312 (74.821)
Epoch: [37][8210/14090]	Time 0.755 (0.768)	Data 0.001 (0.001)	Loss 2.5331 (2.2224)	Prec@1 36.719 (44.147)	Prec@5 68.750 (74.819)
Epoch: [37][8220/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 2.3478 (2.2224)	Prec@1 41.406 (44.145)	Prec@5 73.438 (74.820)
Epoch: [37][8230/14090]	Time 0.870 (0.768)	Data 0.001 (0.001)	Loss 2.2134 (2.2223)	Prec@1 43.750 (44.148)	Prec@5 75.781 (74.819)
Epoch: [37][8240/14090]	Time 0.770 (0.768)	Data 0.001 (0.001)	Loss 2.2514 (2.2224)	Prec@1 42.188 (44.145)	Prec@5 69.531 (74.817)
Epoch: [37][8250/14090]	Time 0.748 (0.768)	Data 0.001 (0.001)	Loss 2.1939 (2.2224)	Prec@1 46.875 (44.145)	Prec@5 75.781 (74.818)
Epoch: [37][8260/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 2.3033 (2.2224)	Prec@1 43.750 (44.145)	Prec@5 66.406 (74.816)
Epoch: [37][8270/14090]	Time 0.754 (0.768)	Data 0.001 (0.001)	Loss 2.3867 (2.2223)	Prec@1 42.969 (44.148)	Prec@5 72.656 (74.816)
Epoch: [37][8280/14090]	Time 0.755 (0.768)	Data 0.001 (0.001)	Loss 2.2613 (2.2224)	Prec@1 41.406 (44.146)	Prec@5 75.781 (74.817)
Epoch: [37][8290/14090]	Time 0.762 (0.768)	Data 0.001 (0.001)	Loss 2.1831 (2.2224)	Prec@1 49.219 (44.146)	Prec@5 74.219 (74.815)
Epoch: [37][8300/14090]	Time 0.884 (0.768)	Data 0.001 (0.001)	Loss 2.3147 (2.2225)	Prec@1 42.188 (44.144)	Prec@5 72.656 (74.814)
Epoch: [37][8310/14090]	Time 0.775 (0.768)	Data 0.001 (0.001)	Loss 2.1829 (2.2224)	Prec@1 42.969 (44.145)	Prec@5 75.000 (74.816)
Epoch: [37][8320/14090]	Time 0.737 (0.768)	Data 0.001 (0.001)	Loss 2.1762 (2.2224)	Prec@1 46.094 (44.145)	Prec@5 71.875 (74.814)
Epoch: [37][8330/14090]	Time 0.783 (0.768)	Data 0.001 (0.001)	Loss 2.3493 (2.2226)	Prec@1 43.750 (44.143)	Prec@5 71.875 (74.810)
Epoch: [37][8340/14090]	Time 0.726 (0.768)	Data 0.001 (0.001)	Loss 2.2223 (2.2226)	Prec@1 46.875 (44.144)	Prec@5 76.562 (74.811)
Epoch: [37][8350/14090]	Time 0.756 (0.768)	Data 0.001 (0.001)	Loss 2.4608 (2.2226)	Prec@1 37.500 (44.142)	Prec@5 67.188 (74.811)
Epoch: [37][8360/14090]	Time 0.761 (0.768)	Data 0.001 (0.001)	Loss 2.3705 (2.2226)	Prec@1 41.406 (44.142)	Prec@5 67.969 (74.811)
Epoch: [37][8370/14090]	Time 0.843 (0.768)	Data 0.001 (0.001)	Loss 1.9788 (2.2225)	Prec@1 47.656 (44.142)	Prec@5 85.938 (74.814)
Epoch: [37][8380/14090]	Time 0.730 (0.768)	Data 0.001 (0.001)	Loss 2.2317 (2.2225)	Prec@1 45.312 (44.143)	Prec@5 79.688 (74.814)
Epoch: [37][8390/14090]	Time 0.751 (0.768)	Data 0.001 (0.001)	Loss 2.0310 (2.2226)	Prec@1 51.562 (44.142)	Prec@5 75.781 (74.812)
Epoch: [37][8400/14090]	Time 0.748 (0.768)	Data 0.001 (0.001)	Loss 2.1912 (2.2226)	Prec@1 42.969 (44.142)	Prec@5 72.656 (74.810)
Epoch: [37][8410/14090]	Time 0.756 (0.768)	Data 0.001 (0.001)	Loss 2.2671 (2.2227)	Prec@1 43.750 (44.142)	Prec@5 72.656 (74.809)
Epoch: [37][8420/14090]	Time 0.783 (0.768)	Data 0.001 (0.001)	Loss 2.2494 (2.2227)	Prec@1 39.844 (44.140)	Prec@5 74.219 (74.809)
Epoch: [37][8430/14090]	Time 0.751 (0.768)	Data 0.001 (0.001)	Loss 2.1989 (2.2226)	Prec@1 46.875 (44.141)	Prec@5 76.562 (74.811)
Epoch: [37][8440/14090]	Time 0.865 (0.768)	Data 0.001 (0.001)	Loss 1.9798 (2.2226)	Prec@1 48.438 (44.139)	Prec@5 81.250 (74.811)
Epoch: [37][8450/14090]	Time 0.735 (0.768)	Data 0.001 (0.001)	Loss 2.5803 (2.2227)	Prec@1 37.500 (44.138)	Prec@5 65.625 (74.811)
Epoch: [37][8460/14090]	Time 0.730 (0.768)	Data 0.001 (0.001)	Loss 2.7484 (2.2226)	Prec@1 37.500 (44.136)	Prec@5 62.500 (74.812)
Epoch: [37][8470/14090]	Time 0.759 (0.768)	Data 0.001 (0.001)	Loss 2.1671 (2.2227)	Prec@1 42.969 (44.135)	Prec@5 75.000 (74.810)
Epoch: [37][8480/14090]	Time 0.761 (0.768)	Data 0.001 (0.001)	Loss 2.4022 (2.2228)	Prec@1 45.312 (44.136)	Prec@5 71.094 (74.808)
Epoch: [37][8490/14090]	Time 0.760 (0.768)	Data 0.001 (0.001)	Loss 2.2959 (2.2229)	Prec@1 37.500 (44.133)	Prec@5 75.000 (74.805)
Epoch: [37][8500/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 2.0862 (2.2229)	Prec@1 42.188 (44.133)	Prec@5 80.469 (74.806)
Epoch: [37][8510/14090]	Time 0.831 (0.768)	Data 0.001 (0.001)	Loss 2.3873 (2.2229)	Prec@1 39.062 (44.133)	Prec@5 75.000 (74.807)
Epoch: [37][8520/14090]	Time 0.742 (0.768)	Data 0.001 (0.001)	Loss 2.5272 (2.2229)	Prec@1 41.406 (44.132)	Prec@5 72.656 (74.808)
Epoch: [37][8530/14090]	Time 0.728 (0.768)	Data 0.001 (0.001)	Loss 2.0666 (2.2227)	Prec@1 46.875 (44.135)	Prec@5 76.562 (74.810)
Epoch: [37][8540/14090]	Time 0.735 (0.768)	Data 0.001 (0.001)	Loss 2.3460 (2.2228)	Prec@1 42.969 (44.134)	Prec@5 70.312 (74.809)
Epoch: [37][8550/14090]	Time 0.755 (0.768)	Data 0.001 (0.001)	Loss 2.5392 (2.2229)	Prec@1 35.938 (44.133)	Prec@5 70.312 (74.809)
Epoch: [37][8560/14090]	Time 0.773 (0.768)	Data 0.001 (0.001)	Loss 2.5205 (2.2230)	Prec@1 38.281 (44.131)	Prec@5 70.312 (74.808)
Epoch: [37][8570/14090]	Time 0.735 (0.768)	Data 0.001 (0.001)	Loss 2.3865 (2.2230)	Prec@1 39.062 (44.130)	Prec@5 71.094 (74.806)
Epoch: [37][8580/14090]	Time 0.858 (0.768)	Data 0.001 (0.001)	Loss 2.0189 (2.2231)	Prec@1 46.875 (44.128)	Prec@5 78.906 (74.806)
Epoch: [37][8590/14090]	Time 0.723 (0.768)	Data 0.001 (0.001)	Loss 2.3658 (2.2231)	Prec@1 35.938 (44.128)	Prec@5 75.781 (74.805)
Epoch: [37][8600/14090]	Time 0.725 (0.768)	Data 0.001 (0.001)	Loss 2.0044 (2.2231)	Prec@1 50.000 (44.130)	Prec@5 75.000 (74.803)
Epoch: [37][8610/14090]	Time 0.724 (0.768)	Data 0.001 (0.001)	Loss 2.4033 (2.2230)	Prec@1 40.625 (44.131)	Prec@5 73.438 (74.805)
Epoch: [37][8620/14090]	Time 0.765 (0.768)	Data 0.001 (0.001)	Loss 2.4050 (2.2231)	Prec@1 35.938 (44.129)	Prec@5 75.000 (74.805)
Epoch: [37][8630/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 2.0420 (2.2231)	Prec@1 46.875 (44.128)	Prec@5 78.906 (74.804)
Epoch: [37][8640/14090]	Time 0.747 (0.768)	Data 0.001 (0.001)	Loss 2.0755 (2.2232)	Prec@1 46.094 (44.126)	Prec@5 81.250 (74.804)
Epoch: [37][8650/14090]	Time 0.863 (0.768)	Data 0.001 (0.001)	Loss 2.0815 (2.2231)	Prec@1 49.219 (44.127)	Prec@5 75.781 (74.805)
Epoch: [37][8660/14090]	Time 0.780 (0.768)	Data 0.001 (0.001)	Loss 2.1956 (2.2232)	Prec@1 44.531 (44.125)	Prec@5 74.219 (74.805)
Epoch: [37][8670/14090]	Time 0.732 (0.768)	Data 0.001 (0.001)	Loss 2.1601 (2.2231)	Prec@1 38.281 (44.127)	Prec@5 71.875 (74.803)
Epoch: [37][8680/14090]	Time 0.721 (0.768)	Data 0.001 (0.001)	Loss 2.0124 (2.2230)	Prec@1 48.438 (44.129)	Prec@5 78.125 (74.804)
Epoch: [37][8690/14090]	Time 0.741 (0.768)	Data 0.001 (0.001)	Loss 2.0035 (2.2231)	Prec@1 45.312 (44.129)	Prec@5 80.469 (74.803)
Epoch: [37][8700/14090]	Time 0.757 (0.768)	Data 0.001 (0.001)	Loss 2.3930 (2.2230)	Prec@1 35.938 (44.130)	Prec@5 71.094 (74.803)
Epoch: [37][8710/14090]	Time 0.772 (0.768)	Data 0.001 (0.001)	Loss 2.3400 (2.2231)	Prec@1 44.531 (44.128)	Prec@5 71.875 (74.802)
Epoch: [37][8720/14090]	Time 1.006 (0.768)	Data 0.001 (0.001)	Loss 2.3266 (2.2231)	Prec@1 41.406 (44.128)	Prec@5 73.438 (74.801)
Epoch: [37][8730/14090]	Time 0.772 (0.768)	Data 0.001 (0.001)	Loss 2.2078 (2.2230)	Prec@1 41.406 (44.128)	Prec@5 75.000 (74.803)
Epoch: [37][8740/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 2.1743 (2.2230)	Prec@1 53.906 (44.130)	Prec@5 73.438 (74.804)
Epoch: [37][8750/14090]	Time 0.728 (0.768)	Data 0.001 (0.001)	Loss 2.3788 (2.2231)	Prec@1 40.625 (44.128)	Prec@5 71.094 (74.804)
Epoch: [37][8760/14090]	Time 0.746 (0.768)	Data 0.001 (0.001)	Loss 2.4034 (2.2231)	Prec@1 40.625 (44.128)	Prec@5 73.438 (74.803)
Epoch: [37][8770/14090]	Time 0.730 (0.768)	Data 0.001 (0.001)	Loss 2.3204 (2.2233)	Prec@1 39.062 (44.125)	Prec@5 75.000 (74.799)
Epoch: [37][8780/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 2.1441 (2.2233)	Prec@1 44.531 (44.123)	Prec@5 75.781 (74.799)
Epoch: [37][8790/14090]	Time 0.844 (0.768)	Data 0.001 (0.001)	Loss 2.4129 (2.2234)	Prec@1 44.531 (44.124)	Prec@5 67.969 (74.798)
Epoch: [37][8800/14090]	Time 0.733 (0.768)	Data 0.001 (0.001)	Loss 2.1918 (2.2233)	Prec@1 44.531 (44.125)	Prec@5 76.562 (74.799)
Epoch: [37][8810/14090]	Time 0.750 (0.768)	Data 0.001 (0.001)	Loss 2.0064 (2.2233)	Prec@1 48.438 (44.125)	Prec@5 78.906 (74.799)
Epoch: [37][8820/14090]	Time 0.758 (0.768)	Data 0.001 (0.001)	Loss 2.3271 (2.2234)	Prec@1 39.062 (44.124)	Prec@5 75.000 (74.797)
Epoch: [37][8830/14090]	Time 0.727 (0.768)	Data 0.001 (0.001)	Loss 2.1860 (2.2234)	Prec@1 47.656 (44.124)	Prec@5 75.781 (74.796)
Epoch: [37][8840/14090]	Time 0.755 (0.768)	Data 0.001 (0.001)	Loss 1.8867 (2.2234)	Prec@1 47.656 (44.123)	Prec@5 78.906 (74.796)
Epoch: [37][8850/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 2.0556 (2.2234)	Prec@1 50.000 (44.123)	Prec@5 80.469 (74.796)
Epoch: [37][8860/14090]	Time 0.872 (0.768)	Data 0.001 (0.001)	Loss 2.2227 (2.2234)	Prec@1 45.312 (44.123)	Prec@5 76.562 (74.797)
Epoch: [37][8870/14090]	Time 0.743 (0.768)	Data 0.001 (0.001)	Loss 2.1767 (2.2233)	Prec@1 45.312 (44.123)	Prec@5 75.781 (74.800)
Epoch: [37][8880/14090]	Time 0.764 (0.768)	Data 0.001 (0.001)	Loss 2.2178 (2.2233)	Prec@1 43.750 (44.121)	Prec@5 75.000 (74.800)
Epoch: [37][8890/14090]	Time 0.755 (0.768)	Data 0.001 (0.001)	Loss 2.1776 (2.2234)	Prec@1 46.094 (44.120)	Prec@5 73.438 (74.798)
Epoch: [37][8900/14090]	Time 0.760 (0.768)	Data 0.001 (0.001)	Loss 2.4120 (2.2234)	Prec@1 39.844 (44.121)	Prec@5 68.750 (74.798)
Epoch: [37][8910/14090]	Time 0.734 (0.768)	Data 0.001 (0.001)	Loss 2.1536 (2.2234)	Prec@1 42.188 (44.119)	Prec@5 73.438 (74.798)
Epoch: [37][8920/14090]	Time 0.751 (0.768)	Data 0.001 (0.001)	Loss 2.1704 (2.2234)	Prec@1 48.438 (44.120)	Prec@5 74.219 (74.800)
Epoch: [37][8930/14090]	Time 0.867 (0.768)	Data 0.001 (0.001)	Loss 1.9849 (2.2235)	Prec@1 44.531 (44.117)	Prec@5 76.562 (74.798)
Epoch: [37][8940/14090]	Time 0.761 (0.768)	Data 0.001 (0.001)	Loss 2.2283 (2.2234)	Prec@1 37.500 (44.116)	Prec@5 74.219 (74.799)
Epoch: [37][8950/14090]	Time 0.732 (0.768)	Data 0.001 (0.001)	Loss 2.0082 (2.2233)	Prec@1 50.781 (44.117)	Prec@5 78.125 (74.800)
Epoch: [37][8960/14090]	Time 0.743 (0.768)	Data 0.001 (0.001)	Loss 2.3062 (2.2233)	Prec@1 44.531 (44.119)	Prec@5 71.875 (74.800)
Epoch: [37][8970/14090]	Time 0.758 (0.768)	Data 0.001 (0.001)	Loss 2.1523 (2.2232)	Prec@1 43.750 (44.121)	Prec@5 76.562 (74.800)
Epoch: [37][8980/14090]	Time 0.744 (0.768)	Data 0.001 (0.001)	Loss 2.4804 (2.2232)	Prec@1 33.594 (44.120)	Prec@5 71.094 (74.801)
Epoch: [37][8990/14090]	Time 0.751 (0.768)	Data 0.001 (0.001)	Loss 2.1521 (2.2232)	Prec@1 44.531 (44.120)	Prec@5 76.562 (74.802)
Epoch: [37][9000/14090]	Time 0.884 (0.768)	Data 0.001 (0.001)	Loss 2.3535 (2.2232)	Prec@1 46.094 (44.122)	Prec@5 71.094 (74.802)
Epoch: [37][9010/14090]	Time 0.760 (0.768)	Data 0.001 (0.001)	Loss 2.3846 (2.2232)	Prec@1 46.875 (44.122)	Prec@5 65.625 (74.799)
Epoch: [37][9020/14090]	Time 0.726 (0.768)	Data 0.001 (0.001)	Loss 2.5441 (2.2233)	Prec@1 38.281 (44.121)	Prec@5 72.656 (74.798)
Epoch: [37][9030/14090]	Time 0.747 (0.768)	Data 0.001 (0.001)	Loss 2.3089 (2.2234)	Prec@1 42.188 (44.120)	Prec@5 75.781 (74.796)
Epoch: [37][9040/14090]	Time 0.748 (0.768)	Data 0.001 (0.001)	Loss 2.3953 (2.2234)	Prec@1 43.750 (44.119)	Prec@5 74.219 (74.796)
Epoch: [37][9050/14090]	Time 0.741 (0.768)	Data 0.001 (0.001)	Loss 2.2719 (2.2235)	Prec@1 38.281 (44.117)	Prec@5 72.656 (74.795)
Epoch: [37][9060/14090]	Time 0.719 (0.768)	Data 0.001 (0.001)	Loss 2.3180 (2.2234)	Prec@1 46.875 (44.118)	Prec@5 74.219 (74.796)
Epoch: [37][9070/14090]	Time 0.867 (0.768)	Data 0.001 (0.001)	Loss 2.2188 (2.2235)	Prec@1 46.094 (44.118)	Prec@5 75.781 (74.796)
Epoch: [37][9080/14090]	Time 0.747 (0.768)	Data 0.001 (0.001)	Loss 2.3178 (2.2235)	Prec@1 46.094 (44.117)	Prec@5 73.438 (74.795)
Epoch: [37][9090/14090]	Time 0.725 (0.768)	Data 0.001 (0.001)	Loss 2.2692 (2.2235)	Prec@1 45.312 (44.119)	Prec@5 73.438 (74.796)
Epoch: [37][9100/14090]	Time 0.773 (0.768)	Data 0.001 (0.001)	Loss 2.3484 (2.2234)	Prec@1 34.375 (44.121)	Prec@5 73.438 (74.797)
Epoch: [37][9110/14090]	Time 0.755 (0.768)	Data 0.001 (0.001)	Loss 2.0886 (2.2234)	Prec@1 46.875 (44.121)	Prec@5 81.250 (74.798)
Epoch: [37][9120/14090]	Time 0.759 (0.768)	Data 0.001 (0.001)	Loss 2.2391 (2.2233)	Prec@1 50.000 (44.123)	Prec@5 75.781 (74.798)
Epoch: [37][9130/14090]	Time 0.763 (0.768)	Data 0.001 (0.001)	Loss 2.3592 (2.2233)	Prec@1 40.625 (44.124)	Prec@5 72.656 (74.798)
Epoch: [37][9140/14090]	Time 0.892 (0.768)	Data 0.001 (0.001)	Loss 2.1838 (2.2232)	Prec@1 46.094 (44.124)	Prec@5 73.438 (74.798)
Epoch: [37][9150/14090]	Time 0.755 (0.768)	Data 0.002 (0.001)	Loss 2.0472 (2.2232)	Prec@1 43.750 (44.124)	Prec@5 81.250 (74.798)
Epoch: [37][9160/14090]	Time 0.752 (0.768)	Data 0.001 (0.001)	Loss 2.2224 (2.2232)	Prec@1 44.531 (44.124)	Prec@5 75.000 (74.799)
Epoch: [37][9170/14090]	Time 0.781 (0.768)	Data 0.001 (0.001)	Loss 2.2754 (2.2232)	Prec@1 49.219 (44.123)	Prec@5 74.219 (74.800)
Epoch: [37][9180/14090]	Time 0.740 (0.768)	Data 0.001 (0.001)	Loss 2.0324 (2.2232)	Prec@1 43.750 (44.122)	Prec@5 76.562 (74.800)
Epoch: [37][9190/14090]	Time 0.742 (0.768)	Data 0.001 (0.001)	Loss 2.2263 (2.2232)	Prec@1 41.406 (44.123)	Prec@5 72.656 (74.799)
Epoch: [37][9200/14090]	Time 0.761 (0.768)	Data 0.001 (0.001)	Loss 2.3881 (2.2233)	Prec@1 46.094 (44.121)	Prec@5 71.094 (74.797)
Epoch: [37][9210/14090]	Time 0.855 (0.768)	Data 0.001 (0.001)	Loss 2.0584 (2.2233)	Prec@1 48.438 (44.120)	Prec@5 80.469 (74.797)
Epoch: [37][9220/14090]	Time 0.755 (0.768)	Data 0.001 (0.001)	Loss 1.9638 (2.2234)	Prec@1 46.875 (44.118)	Prec@5 78.906 (74.795)
Epoch: [37][9230/14090]	Time 0.726 (0.768)	Data 0.001 (0.001)	Loss 2.2446 (2.2234)	Prec@1 39.062 (44.118)	Prec@5 76.562 (74.795)
Epoch: [37][9240/14090]	Time 0.728 (0.768)	Data 0.001 (0.001)	Loss 2.3690 (2.2235)	Prec@1 42.969 (44.117)	Prec@5 75.000 (74.793)
Epoch: [37][9250/14090]	Time 0.763 (0.768)	Data 0.001 (0.001)	Loss 2.2853 (2.2235)	Prec@1 41.406 (44.119)	Prec@5 73.438 (74.793)
Epoch: [37][9260/14090]	Time 0.761 (0.768)	Data 0.001 (0.001)	Loss 2.5171 (2.2236)	Prec@1 38.281 (44.118)	Prec@5 71.094 (74.791)
Epoch: [37][9270/14090]	Time 0.771 (0.768)	Data 0.001 (0.001)	Loss 2.5130 (2.2236)	Prec@1 40.625 (44.119)	Prec@5 72.656 (74.790)
Epoch: [37][9280/14090]	Time 0.858 (0.768)	Data 0.001 (0.001)	Loss 1.9246 (2.2236)	Prec@1 46.875 (44.117)	Prec@5 82.031 (74.789)
Epoch: [37][9290/14090]	Time 0.757 (0.768)	Data 0.001 (0.001)	Loss 2.0550 (2.2236)	Prec@1 43.750 (44.117)	Prec@5 81.250 (74.790)
Epoch: [37][9300/14090]	Time 0.762 (0.768)	Data 0.001 (0.001)	Loss 2.5571 (2.2236)	Prec@1 39.844 (44.116)	Prec@5 69.531 (74.789)
Epoch: [37][9310/14090]	Time 0.779 (0.768)	Data 0.001 (0.001)	Loss 2.4377 (2.2236)	Prec@1 42.969 (44.119)	Prec@5 68.750 (74.789)
Epoch: [37][9320/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 2.0101 (2.2235)	Prec@1 48.438 (44.122)	Prec@5 79.688 (74.790)
Epoch: [37][9330/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 2.2079 (2.2234)	Prec@1 49.219 (44.124)	Prec@5 75.000 (74.792)
Epoch: [37][9340/14090]	Time 0.737 (0.768)	Data 0.001 (0.001)	Loss 2.1206 (2.2234)	Prec@1 48.438 (44.124)	Prec@5 79.688 (74.791)
Epoch: [37][9350/14090]	Time 0.884 (0.768)	Data 0.001 (0.001)	Loss 2.1021 (2.2234)	Prec@1 42.188 (44.124)	Prec@5 77.344 (74.792)
Epoch: [37][9360/14090]	Time 0.749 (0.768)	Data 0.001 (0.001)	Loss 2.2598 (2.2234)	Prec@1 42.969 (44.123)	Prec@5 71.875 (74.791)
Epoch: [37][9370/14090]	Time 0.727 (0.768)	Data 0.001 (0.001)	Loss 2.2572 (2.2235)	Prec@1 46.875 (44.121)	Prec@5 73.438 (74.790)
Epoch: [37][9380/14090]	Time 0.735 (0.768)	Data 0.001 (0.001)	Loss 2.6404 (2.2236)	Prec@1 37.500 (44.122)	Prec@5 68.750 (74.789)
Epoch: [37][9390/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 2.2600 (2.2235)	Prec@1 42.969 (44.123)	Prec@5 75.000 (74.789)
Epoch: [37][9400/14090]	Time 0.730 (0.768)	Data 0.001 (0.001)	Loss 2.2519 (2.2235)	Prec@1 49.219 (44.125)	Prec@5 77.344 (74.789)
Epoch: [37][9410/14090]	Time 0.727 (0.768)	Data 0.001 (0.001)	Loss 2.2648 (2.2235)	Prec@1 40.625 (44.124)	Prec@5 72.656 (74.789)
Epoch: [37][9420/14090]	Time 0.870 (0.768)	Data 0.001 (0.001)	Loss 2.6196 (2.2236)	Prec@1 42.188 (44.124)	Prec@5 64.062 (74.790)
Epoch: [37][9430/14090]	Time 0.732 (0.768)	Data 0.001 (0.001)	Loss 2.4064 (2.2236)	Prec@1 42.969 (44.125)	Prec@5 66.406 (74.790)
Epoch: [37][9440/14090]	Time 0.755 (0.768)	Data 0.001 (0.001)	Loss 2.2987 (2.2236)	Prec@1 46.094 (44.125)	Prec@5 73.438 (74.790)
Epoch: [37][9450/14090]	Time 0.721 (0.768)	Data 0.001 (0.001)	Loss 2.0696 (2.2236)	Prec@1 50.781 (44.126)	Prec@5 75.781 (74.789)
Epoch: [37][9460/14090]	Time 0.765 (0.768)	Data 0.001 (0.001)	Loss 2.3269 (2.2237)	Prec@1 46.094 (44.125)	Prec@5 75.000 (74.789)
Epoch: [37][9470/14090]	Time 0.730 (0.768)	Data 0.001 (0.001)	Loss 2.2125 (2.2236)	Prec@1 41.406 (44.125)	Prec@5 71.875 (74.789)
Epoch: [37][9480/14090]	Time 0.755 (0.768)	Data 0.001 (0.001)	Loss 2.0722 (2.2236)	Prec@1 47.656 (44.125)	Prec@5 78.125 (74.789)
Epoch: [37][9490/14090]	Time 0.844 (0.768)	Data 0.001 (0.001)	Loss 2.5998 (2.2237)	Prec@1 34.375 (44.122)	Prec@5 66.406 (74.787)
Epoch: [37][9500/14090]	Time 0.770 (0.768)	Data 0.001 (0.001)	Loss 2.0836 (2.2238)	Prec@1 42.969 (44.120)	Prec@5 78.125 (74.786)
Epoch: [37][9510/14090]	Time 0.756 (0.768)	Data 0.001 (0.001)	Loss 1.9442 (2.2238)	Prec@1 50.000 (44.120)	Prec@5 81.250 (74.785)
Epoch: [37][9520/14090]	Time 0.727 (0.768)	Data 0.001 (0.001)	Loss 2.1937 (2.2238)	Prec@1 44.531 (44.120)	Prec@5 76.562 (74.786)
Epoch: [37][9530/14090]	Time 0.721 (0.768)	Data 0.001 (0.001)	Loss 2.3086 (2.2238)	Prec@1 42.188 (44.120)	Prec@5 71.875 (74.789)
Epoch: [37][9540/14090]	Time 0.757 (0.768)	Data 0.001 (0.001)	Loss 2.1742 (2.2236)	Prec@1 46.094 (44.123)	Prec@5 77.344 (74.792)
Epoch: [37][9550/14090]	Time 0.758 (0.768)	Data 0.001 (0.001)	Loss 2.3106 (2.2236)	Prec@1 39.062 (44.123)	Prec@5 76.562 (74.793)
Epoch: [37][9560/14090]	Time 0.842 (0.768)	Data 0.001 (0.001)	Loss 2.2310 (2.2236)	Prec@1 39.062 (44.121)	Prec@5 78.906 (74.792)
Epoch: [37][9570/14090]	Time 0.750 (0.768)	Data 0.001 (0.001)	Loss 2.3504 (2.2237)	Prec@1 44.531 (44.120)	Prec@5 70.312 (74.791)
Epoch: [37][9580/14090]	Time 0.749 (0.768)	Data 0.002 (0.001)	Loss 2.4438 (2.2238)	Prec@1 39.062 (44.118)	Prec@5 68.750 (74.790)
Epoch: [37][9590/14090]	Time 0.775 (0.768)	Data 0.001 (0.001)	Loss 1.9314 (2.2238)	Prec@1 54.688 (44.118)	Prec@5 77.344 (74.790)
Epoch: [37][9600/14090]	Time 0.750 (0.768)	Data 0.001 (0.001)	Loss 2.3467 (2.2238)	Prec@1 39.062 (44.118)	Prec@5 75.000 (74.790)
Epoch: [37][9610/14090]	Time 0.760 (0.768)	Data 0.001 (0.001)	Loss 2.2652 (2.2238)	Prec@1 39.844 (44.118)	Prec@5 69.531 (74.791)
Epoch: [37][9620/14090]	Time 0.752 (0.768)	Data 0.001 (0.001)	Loss 2.1650 (2.2238)	Prec@1 40.625 (44.118)	Prec@5 79.688 (74.792)
Epoch: [37][9630/14090]	Time 0.880 (0.768)	Data 0.001 (0.001)	Loss 2.2324 (2.2238)	Prec@1 43.750 (44.118)	Prec@5 75.000 (74.791)
Epoch: [37][9640/14090]	Time 0.748 (0.768)	Data 0.001 (0.001)	Loss 1.8946 (2.2238)	Prec@1 53.906 (44.118)	Prec@5 78.125 (74.791)
Epoch: [37][9650/14090]	Time 0.726 (0.768)	Data 0.001 (0.001)	Loss 2.0665 (2.2238)	Prec@1 43.750 (44.117)	Prec@5 75.000 (74.790)
Epoch: [37][9660/14090]	Time 0.737 (0.768)	Data 0.001 (0.001)	Loss 2.0199 (2.2238)	Prec@1 43.750 (44.116)	Prec@5 78.125 (74.790)
Epoch: [37][9670/14090]	Time 0.728 (0.768)	Data 0.001 (0.001)	Loss 2.1569 (2.2238)	Prec@1 46.875 (44.116)	Prec@5 75.000 (74.790)
Epoch: [37][9680/14090]	Time 0.764 (0.768)	Data 0.001 (0.001)	Loss 2.2857 (2.2238)	Prec@1 37.500 (44.114)	Prec@5 75.781 (74.790)
Epoch: [37][9690/14090]	Time 0.732 (0.768)	Data 0.001 (0.001)	Loss 2.0531 (2.2238)	Prec@1 46.094 (44.113)	Prec@5 78.906 (74.791)
Epoch: [37][9700/14090]	Time 0.896 (0.768)	Data 0.001 (0.001)	Loss 2.1438 (2.2239)	Prec@1 46.875 (44.111)	Prec@5 71.875 (74.788)
Epoch: [37][9710/14090]	Time 0.746 (0.768)	Data 0.001 (0.001)	Loss 2.1468 (2.2240)	Prec@1 41.406 (44.111)	Prec@5 82.031 (74.787)
Epoch: [37][9720/14090]	Time 0.745 (0.768)	Data 0.001 (0.001)	Loss 2.2006 (2.2240)	Prec@1 45.312 (44.110)	Prec@5 75.000 (74.786)
Epoch: [37][9730/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 2.1168 (2.2241)	Prec@1 38.281 (44.110)	Prec@5 82.031 (74.785)
Epoch: [37][9740/14090]	Time 0.755 (0.768)	Data 0.001 (0.001)	Loss 2.3942 (2.2240)	Prec@1 39.844 (44.110)	Prec@5 69.531 (74.785)
Epoch: [37][9750/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 2.1919 (2.2240)	Prec@1 38.281 (44.107)	Prec@5 75.781 (74.784)
Epoch: [37][9760/14090]	Time 0.751 (0.768)	Data 0.001 (0.001)	Loss 2.0982 (2.2240)	Prec@1 48.438 (44.107)	Prec@5 78.125 (74.784)
Epoch: [37][9770/14090]	Time 0.864 (0.768)	Data 0.001 (0.001)	Loss 2.4250 (2.2240)	Prec@1 39.844 (44.107)	Prec@5 66.406 (74.784)
Epoch: [37][9780/14090]	Time 0.758 (0.768)	Data 0.002 (0.001)	Loss 2.1143 (2.2240)	Prec@1 45.312 (44.107)	Prec@5 76.562 (74.785)
Epoch: [37][9790/14090]	Time 0.760 (0.768)	Data 0.001 (0.001)	Loss 2.3336 (2.2240)	Prec@1 43.750 (44.107)	Prec@5 75.000 (74.786)
Epoch: [37][9800/14090]	Time 0.744 (0.768)	Data 0.001 (0.001)	Loss 2.2246 (2.2241)	Prec@1 37.500 (44.104)	Prec@5 79.688 (74.785)
Epoch: [37][9810/14090]	Time 0.773 (0.768)	Data 0.001 (0.001)	Loss 2.2942 (2.2242)	Prec@1 47.656 (44.103)	Prec@5 69.531 (74.785)
Epoch: [37][9820/14090]	Time 0.742 (0.768)	Data 0.001 (0.001)	Loss 2.1531 (2.2243)	Prec@1 44.531 (44.100)	Prec@5 75.781 (74.782)
Epoch: [37][9830/14090]	Time 0.732 (0.768)	Data 0.001 (0.001)	Loss 2.6333 (2.2243)	Prec@1 39.844 (44.103)	Prec@5 62.500 (74.781)
Epoch: [37][9840/14090]	Time 0.860 (0.768)	Data 0.001 (0.001)	Loss 2.3589 (2.2244)	Prec@1 46.875 (44.103)	Prec@5 72.656 (74.780)
Epoch: [37][9850/14090]	Time 0.788 (0.768)	Data 0.001 (0.001)	Loss 2.2631 (2.2244)	Prec@1 42.969 (44.101)	Prec@5 73.438 (74.780)
Epoch: [37][9860/14090]	Time 0.760 (0.768)	Data 0.001 (0.001)	Loss 2.2106 (2.2243)	Prec@1 41.406 (44.102)	Prec@5 75.781 (74.779)
Epoch: [37][9870/14090]	Time 0.746 (0.768)	Data 0.001 (0.001)	Loss 2.1234 (2.2243)	Prec@1 43.750 (44.103)	Prec@5 71.875 (74.780)
Epoch: [37][9880/14090]	Time 0.766 (0.768)	Data 0.001 (0.001)	Loss 2.0722 (2.2243)	Prec@1 40.625 (44.101)	Prec@5 81.250 (74.781)
Epoch: [37][9890/14090]	Time 0.729 (0.768)	Data 0.001 (0.001)	Loss 2.2956 (2.2242)	Prec@1 46.094 (44.103)	Prec@5 72.656 (74.782)
Epoch: [37][9900/14090]	Time 0.756 (0.768)	Data 0.001 (0.001)	Loss 2.4020 (2.2242)	Prec@1 37.500 (44.103)	Prec@5 68.750 (74.782)
Epoch: [37][9910/14090]	Time 0.859 (0.768)	Data 0.001 (0.001)	Loss 2.3215 (2.2243)	Prec@1 45.312 (44.101)	Prec@5 71.094 (74.780)
Epoch: [37][9920/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 2.0469 (2.2242)	Prec@1 46.875 (44.101)	Prec@5 77.344 (74.780)
Epoch: [37][9930/14090]	Time 0.745 (0.768)	Data 0.001 (0.001)	Loss 2.0215 (2.2242)	Prec@1 52.344 (44.105)	Prec@5 72.656 (74.780)
Epoch: [37][9940/14090]	Time 0.745 (0.768)	Data 0.001 (0.001)	Loss 2.2791 (2.2242)	Prec@1 39.062 (44.105)	Prec@5 78.125 (74.780)
Epoch: [37][9950/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 2.0562 (2.2241)	Prec@1 42.969 (44.105)	Prec@5 81.250 (74.780)
Epoch: [37][9960/14090]	Time 0.759 (0.768)	Data 0.001 (0.001)	Loss 2.1935 (2.2242)	Prec@1 39.844 (44.104)	Prec@5 76.562 (74.780)
Epoch: [37][9970/14090]	Time 0.726 (0.768)	Data 0.001 (0.001)	Loss 2.1583 (2.2243)	Prec@1 46.094 (44.103)	Prec@5 79.688 (74.778)
Epoch: [37][9980/14090]	Time 0.905 (0.768)	Data 0.001 (0.001)	Loss 2.1659 (2.2242)	Prec@1 44.531 (44.104)	Prec@5 74.219 (74.780)
Epoch: [37][9990/14090]	Time 0.727 (0.768)	Data 0.001 (0.001)	Loss 2.2230 (2.2243)	Prec@1 50.000 (44.105)	Prec@5 75.781 (74.778)
Epoch: [37][10000/14090]	Time 0.767 (0.768)	Data 0.001 (0.001)	Loss 2.1595 (2.2243)	Prec@1 42.188 (44.105)	Prec@5 75.781 (74.777)
Epoch: [37][10010/14090]	Time 0.728 (0.768)	Data 0.001 (0.001)	Loss 2.1697 (2.2243)	Prec@1 47.656 (44.105)	Prec@5 75.781 (74.778)
Epoch: [37][10020/14090]	Time 0.752 (0.768)	Data 0.001 (0.001)	Loss 2.2845 (2.2244)	Prec@1 40.625 (44.102)	Prec@5 67.969 (74.777)
Epoch: [37][10030/14090]	Time 0.760 (0.768)	Data 0.001 (0.001)	Loss 2.1761 (2.2244)	Prec@1 46.094 (44.103)	Prec@5 73.438 (74.778)
Epoch: [37][10040/14090]	Time 0.746 (0.768)	Data 0.001 (0.001)	Loss 2.0381 (2.2244)	Prec@1 46.875 (44.102)	Prec@5 75.781 (74.777)
Epoch: [37][10050/14090]	Time 0.892 (0.768)	Data 0.001 (0.001)	Loss 2.2320 (2.2245)	Prec@1 44.531 (44.099)	Prec@5 72.656 (74.775)
Epoch: [37][10060/14090]	Time 0.780 (0.768)	Data 0.001 (0.001)	Loss 2.0680 (2.2245)	Prec@1 42.188 (44.100)	Prec@5 79.688 (74.775)
Epoch: [37][10070/14090]	Time 0.732 (0.768)	Data 0.001 (0.001)	Loss 2.3346 (2.2245)	Prec@1 38.281 (44.100)	Prec@5 73.438 (74.774)
Epoch: [37][10080/14090]	Time 0.749 (0.768)	Data 0.001 (0.001)	Loss 2.0895 (2.2244)	Prec@1 53.125 (44.102)	Prec@5 75.781 (74.775)
Epoch: [37][10090/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 2.4478 (2.2245)	Prec@1 39.062 (44.100)	Prec@5 75.000 (74.774)
Epoch: [37][10100/14090]	Time 0.732 (0.768)	Data 0.001 (0.001)	Loss 2.1935 (2.2245)	Prec@1 42.188 (44.100)	Prec@5 75.781 (74.774)
Epoch: [37][10110/14090]	Time 0.729 (0.768)	Data 0.001 (0.001)	Loss 2.0864 (2.2246)	Prec@1 51.562 (44.102)	Prec@5 73.438 (74.773)
Epoch: [37][10120/14090]	Time 0.879 (0.768)	Data 0.001 (0.001)	Loss 2.2313 (2.2245)	Prec@1 40.625 (44.102)	Prec@5 72.656 (74.772)
Epoch: [37][10130/14090]	Time 0.742 (0.768)	Data 0.001 (0.001)	Loss 2.0958 (2.2245)	Prec@1 45.312 (44.102)	Prec@5 78.906 (74.772)
Epoch: [37][10140/14090]	Time 0.724 (0.768)	Data 0.001 (0.001)	Loss 2.5138 (2.2246)	Prec@1 40.625 (44.099)	Prec@5 67.969 (74.771)
Epoch: [37][10150/14090]	Time 0.745 (0.768)	Data 0.001 (0.001)	Loss 2.2017 (2.2246)	Prec@1 46.875 (44.100)	Prec@5 73.438 (74.772)
Epoch: [37][10160/14090]	Time 0.762 (0.768)	Data 0.001 (0.001)	Loss 2.1920 (2.2246)	Prec@1 39.844 (44.098)	Prec@5 74.219 (74.771)
Epoch: [37][10170/14090]	Time 0.729 (0.768)	Data 0.001 (0.001)	Loss 1.9636 (2.2245)	Prec@1 50.000 (44.101)	Prec@5 80.469 (74.772)
Epoch: [37][10180/14090]	Time 0.732 (0.768)	Data 0.001 (0.001)	Loss 2.0563 (2.2245)	Prec@1 43.750 (44.102)	Prec@5 78.125 (74.773)
Epoch: [37][10190/14090]	Time 0.869 (0.768)	Data 0.001 (0.001)	Loss 2.3031 (2.2244)	Prec@1 46.094 (44.104)	Prec@5 71.875 (74.773)
Epoch: [37][10200/14090]	Time 0.726 (0.768)	Data 0.001 (0.001)	Loss 1.9559 (2.2245)	Prec@1 50.781 (44.104)	Prec@5 82.031 (74.773)
Epoch: [37][10210/14090]	Time 0.733 (0.768)	Data 0.001 (0.001)	Loss 2.0535 (2.2244)	Prec@1 50.000 (44.105)	Prec@5 78.125 (74.774)
Epoch: [37][10220/14090]	Time 0.746 (0.768)	Data 0.002 (0.001)	Loss 2.3281 (2.2244)	Prec@1 38.281 (44.106)	Prec@5 77.344 (74.774)
Epoch: [37][10230/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 2.3832 (2.2245)	Prec@1 42.969 (44.106)	Prec@5 71.875 (74.774)
Epoch: [37][10240/14090]	Time 0.780 (0.768)	Data 0.001 (0.001)	Loss 2.4632 (2.2245)	Prec@1 40.625 (44.105)	Prec@5 70.312 (74.774)
Epoch: [37][10250/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 2.2330 (2.2245)	Prec@1 42.969 (44.107)	Prec@5 77.344 (74.774)
Epoch: [37][10260/14090]	Time 0.856 (0.768)	Data 0.001 (0.001)	Loss 2.1266 (2.2245)	Prec@1 45.312 (44.107)	Prec@5 71.875 (74.774)
Epoch: [37][10270/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 2.5534 (2.2245)	Prec@1 39.062 (44.105)	Prec@5 67.969 (74.773)
Epoch: [37][10280/14090]	Time 0.752 (0.768)	Data 0.001 (0.001)	Loss 2.1534 (2.2245)	Prec@1 46.094 (44.105)	Prec@5 81.250 (74.775)
Epoch: [37][10290/14090]	Time 0.760 (0.768)	Data 0.001 (0.001)	Loss 2.2085 (2.2245)	Prec@1 46.875 (44.107)	Prec@5 74.219 (74.774)
Epoch: [37][10300/14090]	Time 0.752 (0.768)	Data 0.001 (0.001)	Loss 2.3298 (2.2245)	Prec@1 41.406 (44.107)	Prec@5 71.094 (74.774)
Epoch: [37][10310/14090]	Time 0.735 (0.768)	Data 0.001 (0.001)	Loss 2.1751 (2.2246)	Prec@1 42.969 (44.106)	Prec@5 71.875 (74.772)
Epoch: [37][10320/14090]	Time 0.768 (0.768)	Data 0.001 (0.001)	Loss 1.9822 (2.2246)	Prec@1 46.094 (44.106)	Prec@5 76.562 (74.771)
Epoch: [37][10330/14090]	Time 0.864 (0.768)	Data 0.001 (0.001)	Loss 2.1042 (2.2246)	Prec@1 51.562 (44.105)	Prec@5 76.562 (74.771)
Epoch: [37][10340/14090]	Time 0.745 (0.768)	Data 0.001 (0.001)	Loss 2.1747 (2.2246)	Prec@1 43.750 (44.107)	Prec@5 71.094 (74.770)
Epoch: [37][10350/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 2.2437 (2.2247)	Prec@1 41.406 (44.104)	Prec@5 74.219 (74.768)
Epoch: [37][10360/14090]	Time 0.765 (0.768)	Data 0.001 (0.001)	Loss 2.3345 (2.2247)	Prec@1 43.750 (44.104)	Prec@5 75.000 (74.768)
Epoch: [37][10370/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 2.2465 (2.2247)	Prec@1 47.656 (44.105)	Prec@5 75.000 (74.770)
Epoch: [37][10380/14090]	Time 0.752 (0.768)	Data 0.001 (0.001)	Loss 2.2580 (2.2247)	Prec@1 39.062 (44.106)	Prec@5 78.906 (74.769)
Epoch: [37][10390/14090]	Time 0.760 (0.768)	Data 0.001 (0.001)	Loss 2.5707 (2.2247)	Prec@1 39.062 (44.104)	Prec@5 71.094 (74.769)
Epoch: [37][10400/14090]	Time 0.869 (0.768)	Data 0.001 (0.001)	Loss 2.1383 (2.2248)	Prec@1 42.969 (44.102)	Prec@5 76.562 (74.769)
Epoch: [37][10410/14090]	Time 0.732 (0.768)	Data 0.001 (0.001)	Loss 2.2471 (2.2248)	Prec@1 36.719 (44.102)	Prec@5 67.969 (74.768)
Epoch: [37][10420/14090]	Time 0.751 (0.768)	Data 0.001 (0.001)	Loss 2.1328 (2.2247)	Prec@1 43.750 (44.102)	Prec@5 72.656 (74.769)
Epoch: [37][10430/14090]	Time 0.732 (0.768)	Data 0.001 (0.001)	Loss 2.1224 (2.2248)	Prec@1 41.406 (44.099)	Prec@5 77.344 (74.769)
Epoch: [37][10440/14090]	Time 0.734 (0.768)	Data 0.001 (0.001)	Loss 2.3611 (2.2248)	Prec@1 42.188 (44.101)	Prec@5 74.219 (74.768)
Epoch: [37][10450/14090]	Time 0.732 (0.768)	Data 0.001 (0.001)	Loss 2.4659 (2.2248)	Prec@1 36.719 (44.100)	Prec@5 71.875 (74.768)
Epoch: [37][10460/14090]	Time 0.734 (0.768)	Data 0.001 (0.001)	Loss 2.3355 (2.2249)	Prec@1 42.969 (44.098)	Prec@5 74.219 (74.767)
Epoch: [37][10470/14090]	Time 0.875 (0.768)	Data 0.001 (0.001)	Loss 1.9652 (2.2249)	Prec@1 42.188 (44.098)	Prec@5 79.688 (74.768)
Epoch: [37][10480/14090]	Time 0.755 (0.768)	Data 0.001 (0.001)	Loss 2.5277 (2.2249)	Prec@1 40.625 (44.097)	Prec@5 67.969 (74.766)
Epoch: [37][10490/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 2.6107 (2.2249)	Prec@1 38.281 (44.097)	Prec@5 66.406 (74.766)
Epoch: [37][10500/14090]	Time 0.745 (0.768)	Data 0.001 (0.001)	Loss 2.0334 (2.2249)	Prec@1 46.875 (44.099)	Prec@5 78.125 (74.765)
Epoch: [37][10510/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 2.4009 (2.2250)	Prec@1 40.625 (44.096)	Prec@5 71.094 (74.763)
Epoch: [37][10520/14090]	Time 0.771 (0.768)	Data 0.001 (0.001)	Loss 2.3461 (2.2250)	Prec@1 42.188 (44.098)	Prec@5 78.906 (74.765)
Epoch: [37][10530/14090]	Time 0.750 (0.768)	Data 0.001 (0.001)	Loss 2.0042 (2.2250)	Prec@1 47.656 (44.098)	Prec@5 79.688 (74.766)
Epoch: [37][10540/14090]	Time 0.877 (0.768)	Data 0.001 (0.001)	Loss 2.4276 (2.2250)	Prec@1 43.750 (44.098)	Prec@5 71.875 (74.764)
Epoch: [37][10550/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 2.2798 (2.2250)	Prec@1 39.844 (44.098)	Prec@5 75.000 (74.763)
Epoch: [37][10560/14090]	Time 0.761 (0.768)	Data 0.001 (0.001)	Loss 2.0301 (2.2250)	Prec@1 42.188 (44.098)	Prec@5 79.688 (74.764)
Epoch: [37][10570/14090]	Time 0.734 (0.768)	Data 0.001 (0.001)	Loss 2.3109 (2.2251)	Prec@1 39.062 (44.097)	Prec@5 70.312 (74.763)
Epoch: [37][10580/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 2.1159 (2.2249)	Prec@1 46.094 (44.098)	Prec@5 78.125 (74.765)
Epoch: [37][10590/14090]	Time 0.756 (0.768)	Data 0.001 (0.001)	Loss 2.1838 (2.2249)	Prec@1 44.531 (44.099)	Prec@5 77.344 (74.765)
Epoch: [37][10600/14090]	Time 0.766 (0.768)	Data 0.001 (0.001)	Loss 2.3910 (2.2249)	Prec@1 43.750 (44.100)	Prec@5 75.781 (74.766)
Epoch: [37][10610/14090]	Time 0.892 (0.768)	Data 0.001 (0.001)	Loss 2.4192 (2.2249)	Prec@1 42.969 (44.101)	Prec@5 71.875 (74.765)
Epoch: [37][10620/14090]	Time 0.760 (0.768)	Data 0.001 (0.001)	Loss 2.1032 (2.2249)	Prec@1 49.219 (44.102)	Prec@5 74.219 (74.767)
Epoch: [37][10630/14090]	Time 0.750 (0.768)	Data 0.001 (0.001)	Loss 2.3193 (2.2249)	Prec@1 46.094 (44.103)	Prec@5 72.656 (74.767)
Epoch: [37][10640/14090]	Time 0.722 (0.768)	Data 0.001 (0.001)	Loss 2.1457 (2.2249)	Prec@1 39.062 (44.102)	Prec@5 78.125 (74.769)
Epoch: [37][10650/14090]	Time 0.767 (0.768)	Data 0.001 (0.001)	Loss 2.1637 (2.2249)	Prec@1 47.656 (44.102)	Prec@5 71.094 (74.767)
Epoch: [37][10660/14090]	Time 0.740 (0.768)	Data 0.001 (0.001)	Loss 2.3321 (2.2248)	Prec@1 45.312 (44.105)	Prec@5 74.219 (74.771)
Epoch: [37][10670/14090]	Time 0.755 (0.768)	Data 0.001 (0.001)	Loss 2.2950 (2.2248)	Prec@1 39.844 (44.103)	Prec@5 74.219 (74.770)
Epoch: [37][10680/14090]	Time 0.868 (0.768)	Data 0.001 (0.001)	Loss 2.3417 (2.2249)	Prec@1 42.969 (44.101)	Prec@5 71.094 (74.768)
Epoch: [37][10690/14090]	Time 0.724 (0.768)	Data 0.001 (0.001)	Loss 2.1582 (2.2249)	Prec@1 49.219 (44.100)	Prec@5 78.125 (74.768)
Epoch: [37][10700/14090]	Time 0.746 (0.768)	Data 0.004 (0.001)	Loss 2.3237 (2.2250)	Prec@1 43.750 (44.097)	Prec@5 70.312 (74.767)
Epoch: [37][10710/14090]	Time 0.742 (0.768)	Data 0.001 (0.001)	Loss 2.2404 (2.2250)	Prec@1 46.875 (44.098)	Prec@5 75.000 (74.767)
Epoch: [37][10720/14090]	Time 0.727 (0.768)	Data 0.001 (0.001)	Loss 2.1644 (2.2250)	Prec@1 45.312 (44.098)	Prec@5 75.781 (74.766)
Epoch: [37][10730/14090]	Time 0.777 (0.768)	Data 0.001 (0.001)	Loss 2.4790 (2.2251)	Prec@1 34.375 (44.096)	Prec@5 64.062 (74.765)
Epoch: [37][10740/14090]	Time 0.752 (0.768)	Data 0.001 (0.001)	Loss 2.2296 (2.2251)	Prec@1 44.531 (44.098)	Prec@5 69.531 (74.764)
Epoch: [37][10750/14090]	Time 0.857 (0.768)	Data 0.001 (0.001)	Loss 2.2843 (2.2251)	Prec@1 49.219 (44.097)	Prec@5 74.219 (74.762)
Epoch: [37][10760/14090]	Time 0.743 (0.768)	Data 0.001 (0.001)	Loss 2.1224 (2.2252)	Prec@1 45.312 (44.096)	Prec@5 73.438 (74.763)
Epoch: [37][10770/14090]	Time 0.748 (0.768)	Data 0.001 (0.001)	Loss 2.1179 (2.2251)	Prec@1 46.094 (44.097)	Prec@5 74.219 (74.765)
Epoch: [37][10780/14090]	Time 0.743 (0.768)	Data 0.001 (0.001)	Loss 2.3278 (2.2251)	Prec@1 40.625 (44.098)	Prec@5 69.531 (74.765)
Epoch: [37][10790/14090]	Time 0.725 (0.768)	Data 0.001 (0.001)	Loss 2.4014 (2.2251)	Prec@1 41.406 (44.098)	Prec@5 71.094 (74.766)
Epoch: [37][10800/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 2.1521 (2.2251)	Prec@1 42.188 (44.098)	Prec@5 75.781 (74.766)
Epoch: [37][10810/14090]	Time 0.757 (0.768)	Data 0.001 (0.001)	Loss 2.1209 (2.2251)	Prec@1 47.656 (44.097)	Prec@5 73.438 (74.766)
Epoch: [37][10820/14090]	Time 0.981 (0.768)	Data 0.001 (0.001)	Loss 2.2662 (2.2252)	Prec@1 43.750 (44.095)	Prec@5 71.094 (74.766)
Epoch: [37][10830/14090]	Time 0.733 (0.768)	Data 0.001 (0.001)	Loss 2.3440 (2.2252)	Prec@1 41.406 (44.097)	Prec@5 75.000 (74.766)
Epoch: [37][10840/14090]	Time 0.763 (0.768)	Data 0.001 (0.001)	Loss 2.2552 (2.2253)	Prec@1 42.188 (44.097)	Prec@5 75.000 (74.765)
Epoch: [37][10850/14090]	Time 0.730 (0.768)	Data 0.001 (0.001)	Loss 2.0846 (2.2252)	Prec@1 47.656 (44.098)	Prec@5 78.125 (74.767)
Epoch: [37][10860/14090]	Time 0.742 (0.768)	Data 0.001 (0.001)	Loss 2.1603 (2.2252)	Prec@1 44.531 (44.098)	Prec@5 75.781 (74.768)
Epoch: [37][10870/14090]	Time 0.761 (0.768)	Data 0.001 (0.001)	Loss 2.2509 (2.2252)	Prec@1 41.406 (44.098)	Prec@5 70.312 (74.767)
Epoch: [37][10880/14090]	Time 0.786 (0.768)	Data 0.001 (0.001)	Loss 2.6363 (2.2253)	Prec@1 38.281 (44.095)	Prec@5 70.312 (74.765)
Epoch: [37][10890/14090]	Time 0.810 (0.768)	Data 0.001 (0.001)	Loss 2.4178 (2.2254)	Prec@1 46.094 (44.095)	Prec@5 66.406 (74.764)
Epoch: [37][10900/14090]	Time 0.740 (0.768)	Data 0.001 (0.001)	Loss 2.4131 (2.2254)	Prec@1 40.625 (44.095)	Prec@5 67.188 (74.764)
Epoch: [37][10910/14090]	Time 0.742 (0.768)	Data 0.001 (0.001)	Loss 2.3462 (2.2254)	Prec@1 44.531 (44.095)	Prec@5 73.438 (74.764)
Epoch: [37][10920/14090]	Time 0.744 (0.768)	Data 0.001 (0.001)	Loss 1.9756 (2.2254)	Prec@1 53.906 (44.095)	Prec@5 83.594 (74.764)
Epoch: [37][10930/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 2.3071 (2.2254)	Prec@1 42.188 (44.095)	Prec@5 75.000 (74.764)
Epoch: [37][10940/14090]	Time 0.759 (0.768)	Data 0.001 (0.001)	Loss 2.1222 (2.2254)	Prec@1 45.312 (44.097)	Prec@5 78.125 (74.765)
Epoch: [37][10950/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 2.1736 (2.2253)	Prec@1 45.312 (44.096)	Prec@5 71.875 (74.765)
Epoch: [37][10960/14090]	Time 0.820 (0.768)	Data 0.001 (0.001)	Loss 1.8984 (2.2254)	Prec@1 48.438 (44.095)	Prec@5 78.125 (74.764)
Epoch: [37][10970/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 2.3677 (2.2254)	Prec@1 37.500 (44.096)	Prec@5 75.000 (74.764)
Epoch: [37][10980/14090]	Time 0.744 (0.768)	Data 0.001 (0.001)	Loss 2.2139 (2.2254)	Prec@1 40.625 (44.093)	Prec@5 72.656 (74.764)
Epoch: [37][10990/14090]	Time 0.735 (0.768)	Data 0.001 (0.001)	Loss 2.2715 (2.2255)	Prec@1 41.406 (44.092)	Prec@5 75.000 (74.762)
Epoch: [37][11000/14090]	Time 0.744 (0.768)	Data 0.001 (0.001)	Loss 2.3557 (2.2255)	Prec@1 39.062 (44.091)	Prec@5 71.094 (74.761)
Epoch: [37][11010/14090]	Time 0.760 (0.768)	Data 0.001 (0.001)	Loss 2.2733 (2.2254)	Prec@1 42.969 (44.092)	Prec@5 77.344 (74.762)
Epoch: [37][11020/14090]	Time 0.767 (0.768)	Data 0.001 (0.001)	Loss 2.0629 (2.2255)	Prec@1 49.219 (44.092)	Prec@5 75.000 (74.761)
Epoch: [37][11030/14090]	Time 0.866 (0.768)	Data 0.001 (0.001)	Loss 2.1403 (2.2255)	Prec@1 41.406 (44.091)	Prec@5 74.219 (74.760)
Epoch: [37][11040/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 2.5002 (2.2255)	Prec@1 38.281 (44.092)	Prec@5 66.406 (74.759)
Epoch: [37][11050/14090]	Time 0.757 (0.768)	Data 0.001 (0.001)	Loss 1.9503 (2.2255)	Prec@1 51.562 (44.091)	Prec@5 78.906 (74.759)
Epoch: [37][11060/14090]	Time 0.740 (0.768)	Data 0.001 (0.001)	Loss 2.4444 (2.2256)	Prec@1 42.188 (44.091)	Prec@5 72.656 (74.758)
Epoch: [37][11070/14090]	Time 0.764 (0.768)	Data 0.001 (0.001)	Loss 1.9026 (2.2256)	Prec@1 47.656 (44.090)	Prec@5 80.469 (74.758)
Epoch: [37][11080/14090]	Time 0.759 (0.768)	Data 0.001 (0.001)	Loss 2.1586 (2.2256)	Prec@1 43.750 (44.090)	Prec@5 75.781 (74.757)
Epoch: [37][11090/14090]	Time 0.730 (0.768)	Data 0.001 (0.001)	Loss 2.4285 (2.2256)	Prec@1 41.406 (44.091)	Prec@5 72.656 (74.757)
Epoch: [37][11100/14090]	Time 0.898 (0.768)	Data 0.001 (0.001)	Loss 2.1802 (2.2256)	Prec@1 46.094 (44.092)	Prec@5 75.000 (74.757)
Epoch: [37][11110/14090]	Time 0.759 (0.768)	Data 0.001 (0.001)	Loss 2.3352 (2.2255)	Prec@1 45.312 (44.094)	Prec@5 69.531 (74.760)
Epoch: [37][11120/14090]	Time 0.742 (0.768)	Data 0.001 (0.001)	Loss 2.3182 (2.2255)	Prec@1 40.625 (44.093)	Prec@5 72.656 (74.760)
Epoch: [37][11130/14090]	Time 0.752 (0.768)	Data 0.001 (0.001)	Loss 2.4281 (2.2255)	Prec@1 39.844 (44.093)	Prec@5 69.531 (74.759)
Epoch: [37][11140/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 2.3986 (2.2256)	Prec@1 42.188 (44.092)	Prec@5 67.188 (74.759)
Epoch: [37][11150/14090]	Time 0.756 (0.768)	Data 0.001 (0.001)	Loss 2.2900 (2.2256)	Prec@1 46.094 (44.091)	Prec@5 74.219 (74.759)
Epoch: [37][11160/14090]	Time 0.729 (0.768)	Data 0.001 (0.001)	Loss 2.0077 (2.2255)	Prec@1 43.750 (44.092)	Prec@5 76.562 (74.761)
Epoch: [37][11170/14090]	Time 0.867 (0.768)	Data 0.001 (0.001)	Loss 2.4615 (2.2255)	Prec@1 39.062 (44.090)	Prec@5 69.531 (74.759)
Epoch: [37][11180/14090]	Time 0.756 (0.768)	Data 0.001 (0.001)	Loss 2.3565 (2.2256)	Prec@1 38.281 (44.087)	Prec@5 75.000 (74.759)
Epoch: [37][11190/14090]	Time 0.746 (0.768)	Data 0.001 (0.001)	Loss 2.2632 (2.2256)	Prec@1 45.312 (44.086)	Prec@5 76.562 (74.758)
Epoch: [37][11200/14090]	Time 0.752 (0.768)	Data 0.001 (0.001)	Loss 2.4714 (2.2256)	Prec@1 41.406 (44.087)	Prec@5 69.531 (74.758)
Epoch: [37][11210/14090]	Time 0.734 (0.768)	Data 0.001 (0.001)	Loss 2.5663 (2.2257)	Prec@1 33.594 (44.086)	Prec@5 64.844 (74.757)
Epoch: [37][11220/14090]	Time 0.754 (0.768)	Data 0.001 (0.001)	Loss 2.2045 (2.2257)	Prec@1 46.875 (44.086)	Prec@5 72.656 (74.757)
Epoch: [37][11230/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 2.1906 (2.2258)	Prec@1 39.062 (44.082)	Prec@5 78.906 (74.756)
Epoch: [37][11240/14090]	Time 0.888 (0.768)	Data 0.001 (0.001)	Loss 2.3104 (2.2258)	Prec@1 49.219 (44.083)	Prec@5 74.219 (74.756)
Epoch: [37][11250/14090]	Time 0.727 (0.768)	Data 0.001 (0.001)	Loss 2.1359 (2.2258)	Prec@1 48.438 (44.084)	Prec@5 72.656 (74.755)
Epoch: [37][11260/14090]	Time 0.748 (0.768)	Data 0.001 (0.001)	Loss 2.1249 (2.2258)	Prec@1 38.281 (44.083)	Prec@5 77.344 (74.755)
Epoch: [37][11270/14090]	Time 0.757 (0.768)	Data 0.001 (0.001)	Loss 2.2617 (2.2258)	Prec@1 45.312 (44.084)	Prec@5 75.000 (74.753)
Epoch: [37][11280/14090]	Time 0.737 (0.768)	Data 0.001 (0.001)	Loss 2.3056 (2.2258)	Prec@1 40.625 (44.083)	Prec@5 76.562 (74.753)
Epoch: [37][11290/14090]	Time 0.730 (0.768)	Data 0.001 (0.001)	Loss 2.3424 (2.2259)	Prec@1 42.188 (44.083)	Prec@5 71.875 (74.753)
Epoch: [37][11300/14090]	Time 0.742 (0.768)	Data 0.001 (0.001)	Loss 2.2840 (2.2258)	Prec@1 46.875 (44.085)	Prec@5 71.875 (74.755)
Epoch: [37][11310/14090]	Time 0.885 (0.768)	Data 0.001 (0.001)	Loss 2.1691 (2.2258)	Prec@1 47.656 (44.086)	Prec@5 78.906 (74.753)
Epoch: [37][11320/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 2.0717 (2.2258)	Prec@1 46.094 (44.085)	Prec@5 75.000 (74.753)
Epoch: [37][11330/14090]	Time 0.743 (0.768)	Data 0.001 (0.001)	Loss 2.2691 (2.2258)	Prec@1 44.531 (44.088)	Prec@5 71.875 (74.753)
Epoch: [37][11340/14090]	Time 0.783 (0.768)	Data 0.001 (0.001)	Loss 2.2364 (2.2258)	Prec@1 41.406 (44.088)	Prec@5 78.906 (74.755)
Epoch: [37][11350/14090]	Time 0.754 (0.768)	Data 0.001 (0.001)	Loss 2.3115 (2.2257)	Prec@1 37.500 (44.089)	Prec@5 75.000 (74.755)
Epoch: [37][11360/14090]	Time 0.750 (0.768)	Data 0.001 (0.001)	Loss 2.2160 (2.2257)	Prec@1 46.875 (44.089)	Prec@5 71.875 (74.754)
Epoch: [37][11370/14090]	Time 0.754 (0.768)	Data 0.001 (0.001)	Loss 2.3009 (2.2257)	Prec@1 40.625 (44.090)	Prec@5 72.656 (74.755)
Epoch: [37][11380/14090]	Time 0.865 (0.768)	Data 0.001 (0.001)	Loss 2.5598 (2.2258)	Prec@1 36.719 (44.089)	Prec@5 69.531 (74.754)
Epoch: [37][11390/14090]	Time 0.735 (0.768)	Data 0.001 (0.001)	Loss 2.0611 (2.2258)	Prec@1 45.312 (44.089)	Prec@5 73.438 (74.754)
Epoch: [37][11400/14090]	Time 0.727 (0.768)	Data 0.001 (0.001)	Loss 2.2258 (2.2258)	Prec@1 48.438 (44.089)	Prec@5 75.000 (74.754)
Epoch: [37][11410/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 2.2675 (2.2258)	Prec@1 46.094 (44.088)	Prec@5 71.094 (74.753)
Epoch: [37][11420/14090]	Time 0.750 (0.768)	Data 0.001 (0.001)	Loss 2.4097 (2.2258)	Prec@1 42.188 (44.088)	Prec@5 69.531 (74.752)
Epoch: [37][11430/14090]	Time 0.749 (0.768)	Data 0.001 (0.001)	Loss 1.9615 (2.2258)	Prec@1 49.219 (44.088)	Prec@5 78.125 (74.752)
Epoch: [37][11440/14090]	Time 0.756 (0.768)	Data 0.001 (0.001)	Loss 1.8848 (2.2258)	Prec@1 46.875 (44.088)	Prec@5 80.469 (74.753)
Epoch: [37][11450/14090]	Time 0.822 (0.768)	Data 0.001 (0.001)	Loss 2.3652 (2.2258)	Prec@1 38.281 (44.088)	Prec@5 66.406 (74.752)
Epoch: [37][11460/14090]	Time 0.757 (0.768)	Data 0.001 (0.001)	Loss 2.2406 (2.2258)	Prec@1 46.094 (44.089)	Prec@5 74.219 (74.751)
Epoch: [37][11470/14090]	Time 0.755 (0.768)	Data 0.001 (0.001)	Loss 2.2234 (2.2258)	Prec@1 38.281 (44.087)	Prec@5 72.656 (74.750)
Epoch: [37][11480/14090]	Time 0.757 (0.768)	Data 0.001 (0.001)	Loss 2.1444 (2.2258)	Prec@1 42.188 (44.087)	Prec@5 75.781 (74.750)
Epoch: [37][11490/14090]	Time 0.747 (0.768)	Data 0.001 (0.001)	Loss 2.2009 (2.2259)	Prec@1 47.656 (44.085)	Prec@5 78.906 (74.750)
Epoch: [37][11500/14090]	Time 0.729 (0.768)	Data 0.001 (0.001)	Loss 2.2522 (2.2259)	Prec@1 50.781 (44.086)	Prec@5 72.656 (74.750)
Epoch: [37][11510/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 2.3077 (2.2259)	Prec@1 39.844 (44.085)	Prec@5 75.000 (74.750)
Epoch: [37][11520/14090]	Time 0.881 (0.768)	Data 0.001 (0.001)	Loss 2.2477 (2.2259)	Prec@1 48.438 (44.085)	Prec@5 72.656 (74.750)
Epoch: [37][11530/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 2.2917 (2.2260)	Prec@1 45.312 (44.083)	Prec@5 73.438 (74.749)
Epoch: [37][11540/14090]	Time 0.769 (0.768)	Data 0.001 (0.001)	Loss 2.4215 (2.2260)	Prec@1 37.500 (44.082)	Prec@5 71.875 (74.746)
Epoch: [37][11550/14090]	Time 0.759 (0.768)	Data 0.001 (0.001)	Loss 2.3673 (2.2260)	Prec@1 39.062 (44.080)	Prec@5 71.875 (74.746)
Epoch: [37][11560/14090]	Time 0.735 (0.768)	Data 0.001 (0.001)	Loss 2.0673 (2.2260)	Prec@1 49.219 (44.080)	Prec@5 78.125 (74.746)
Epoch: [37][11570/14090]	Time 0.748 (0.768)	Data 0.001 (0.001)	Loss 2.3010 (2.2260)	Prec@1 40.625 (44.079)	Prec@5 72.656 (74.745)
Epoch: [37][11580/14090]	Time 0.764 (0.768)	Data 0.001 (0.001)	Loss 2.2342 (2.2260)	Prec@1 42.969 (44.080)	Prec@5 75.000 (74.749)
Epoch: [37][11590/14090]	Time 0.850 (0.768)	Data 0.001 (0.001)	Loss 2.4163 (2.2260)	Prec@1 39.062 (44.078)	Prec@5 72.656 (74.748)
Epoch: [37][11600/14090]	Time 0.730 (0.768)	Data 0.001 (0.001)	Loss 2.1853 (2.2260)	Prec@1 41.406 (44.077)	Prec@5 75.781 (74.748)
Epoch: [37][11610/14090]	Time 0.728 (0.768)	Data 0.001 (0.001)	Loss 2.0981 (2.2260)	Prec@1 43.750 (44.076)	Prec@5 76.562 (74.747)
Epoch: [37][11620/14090]	Time 0.748 (0.768)	Data 0.001 (0.001)	Loss 2.2230 (2.2259)	Prec@1 49.219 (44.078)	Prec@5 79.688 (74.749)
Epoch: [37][11630/14090]	Time 0.721 (0.768)	Data 0.001 (0.001)	Loss 2.0504 (2.2259)	Prec@1 39.844 (44.080)	Prec@5 78.906 (74.751)
Epoch: [37][11640/14090]	Time 0.745 (0.768)	Data 0.001 (0.001)	Loss 2.2091 (2.2258)	Prec@1 41.406 (44.080)	Prec@5 76.562 (74.751)
Epoch: [37][11650/14090]	Time 0.752 (0.768)	Data 0.001 (0.001)	Loss 2.2850 (2.2258)	Prec@1 42.969 (44.080)	Prec@5 71.094 (74.750)
Epoch: [37][11660/14090]	Time 0.878 (0.768)	Data 0.001 (0.001)	Loss 2.2162 (2.2258)	Prec@1 50.000 (44.082)	Prec@5 74.219 (74.751)
Epoch: [37][11670/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 2.3462 (2.2257)	Prec@1 41.406 (44.084)	Prec@5 74.219 (74.753)
Epoch: [37][11680/14090]	Time 0.750 (0.768)	Data 0.001 (0.001)	Loss 2.0720 (2.2257)	Prec@1 43.750 (44.083)	Prec@5 80.469 (74.754)
Epoch: [37][11690/14090]	Time 0.777 (0.768)	Data 0.002 (0.001)	Loss 2.5006 (2.2257)	Prec@1 40.625 (44.084)	Prec@5 66.406 (74.755)
Epoch: [37][11700/14090]	Time 0.767 (0.768)	Data 0.001 (0.001)	Loss 2.3020 (2.2257)	Prec@1 38.281 (44.083)	Prec@5 71.094 (74.756)
Epoch: [37][11710/14090]	Time 0.741 (0.768)	Data 0.001 (0.001)	Loss 2.2399 (2.2257)	Prec@1 42.188 (44.083)	Prec@5 75.000 (74.756)
Epoch: [37][11720/14090]	Time 0.733 (0.768)	Data 0.001 (0.001)	Loss 2.2397 (2.2258)	Prec@1 44.531 (44.082)	Prec@5 75.000 (74.754)
Epoch: [37][11730/14090]	Time 0.873 (0.768)	Data 0.001 (0.001)	Loss 2.2765 (2.2258)	Prec@1 42.969 (44.082)	Prec@5 71.094 (74.753)
Epoch: [37][11740/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 1.7703 (2.2259)	Prec@1 48.438 (44.081)	Prec@5 85.156 (74.752)
Epoch: [37][11750/14090]	Time 0.727 (0.768)	Data 0.001 (0.001)	Loss 2.2865 (2.2259)	Prec@1 48.438 (44.082)	Prec@5 72.656 (74.751)
Epoch: [37][11760/14090]	Time 0.745 (0.768)	Data 0.001 (0.001)	Loss 2.4066 (2.2260)	Prec@1 35.156 (44.081)	Prec@5 73.438 (74.750)
Epoch: [37][11770/14090]	Time 0.759 (0.768)	Data 0.001 (0.001)	Loss 2.3038 (2.2260)	Prec@1 39.844 (44.082)	Prec@5 72.656 (74.750)
Epoch: [37][11780/14090]	Time 0.733 (0.768)	Data 0.001 (0.001)	Loss 1.9968 (2.2259)	Prec@1 53.906 (44.083)	Prec@5 78.125 (74.749)
Epoch: [37][11790/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 1.9568 (2.2260)	Prec@1 50.781 (44.083)	Prec@5 78.906 (74.750)
Epoch: [37][11800/14090]	Time 0.998 (0.768)	Data 0.001 (0.001)	Loss 2.0654 (2.2259)	Prec@1 44.531 (44.083)	Prec@5 75.000 (74.751)
Epoch: [37][11810/14090]	Time 0.741 (0.768)	Data 0.001 (0.001)	Loss 2.0706 (2.2259)	Prec@1 49.219 (44.083)	Prec@5 74.219 (74.751)
Epoch: [37][11820/14090]	Time 0.743 (0.768)	Data 0.001 (0.001)	Loss 2.1987 (2.2259)	Prec@1 43.750 (44.082)	Prec@5 71.094 (74.752)
Epoch: [37][11830/14090]	Time 0.749 (0.768)	Data 0.001 (0.001)	Loss 1.9890 (2.2259)	Prec@1 43.750 (44.082)	Prec@5 82.031 (74.751)
Epoch: [37][11840/14090]	Time 0.740 (0.768)	Data 0.001 (0.001)	Loss 2.2660 (2.2259)	Prec@1 40.625 (44.082)	Prec@5 71.094 (74.751)
Epoch: [37][11850/14090]	Time 0.745 (0.768)	Data 0.001 (0.001)	Loss 2.2691 (2.2259)	Prec@1 47.656 (44.082)	Prec@5 69.531 (74.750)
Epoch: [37][11860/14090]	Time 0.754 (0.768)	Data 0.001 (0.001)	Loss 2.1141 (2.2259)	Prec@1 43.750 (44.083)	Prec@5 74.219 (74.750)
Epoch: [37][11870/14090]	Time 0.875 (0.768)	Data 0.001 (0.001)	Loss 2.3793 (2.2259)	Prec@1 43.750 (44.082)	Prec@5 68.750 (74.749)
Epoch: [37][11880/14090]	Time 0.767 (0.768)	Data 0.001 (0.001)	Loss 2.2701 (2.2259)	Prec@1 46.094 (44.082)	Prec@5 71.875 (74.747)
Epoch: [37][11890/14090]	Time 0.723 (0.768)	Data 0.001 (0.001)	Loss 2.2249 (2.2259)	Prec@1 42.188 (44.083)	Prec@5 75.000 (74.748)
Epoch: [37][11900/14090]	Time 0.782 (0.768)	Data 0.001 (0.001)	Loss 2.0078 (2.2259)	Prec@1 49.219 (44.083)	Prec@5 77.344 (74.748)
Epoch: [37][11910/14090]	Time 0.768 (0.768)	Data 0.001 (0.001)	Loss 2.1017 (2.2259)	Prec@1 45.312 (44.083)	Prec@5 78.906 (74.748)
Epoch: [37][11920/14090]	Time 0.773 (0.768)	Data 0.001 (0.001)	Loss 2.0447 (2.2259)	Prec@1 44.531 (44.083)	Prec@5 78.906 (74.748)
Epoch: [37][11930/14090]	Time 0.775 (0.768)	Data 0.001 (0.001)	Loss 2.1682 (2.2259)	Prec@1 45.312 (44.082)	Prec@5 69.531 (74.748)
Epoch: [37][11940/14090]	Time 0.847 (0.768)	Data 0.001 (0.001)	Loss 2.1451 (2.2258)	Prec@1 46.094 (44.082)	Prec@5 75.781 (74.748)
Epoch: [37][11950/14090]	Time 0.764 (0.768)	Data 0.001 (0.001)	Loss 2.6517 (2.2258)	Prec@1 36.719 (44.084)	Prec@5 72.656 (74.749)
Epoch: [37][11960/14090]	Time 0.758 (0.768)	Data 0.001 (0.001)	Loss 2.0471 (2.2257)	Prec@1 50.781 (44.086)	Prec@5 78.125 (74.751)
Epoch: [37][11970/14090]	Time 0.792 (0.768)	Data 0.001 (0.001)	Loss 2.4766 (2.2258)	Prec@1 38.281 (44.083)	Prec@5 69.531 (74.750)
Epoch: [37][11980/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 2.2087 (2.2258)	Prec@1 41.406 (44.082)	Prec@5 72.656 (74.749)
Epoch: [37][11990/14090]	Time 0.751 (0.768)	Data 0.001 (0.001)	Loss 2.4337 (2.2258)	Prec@1 42.188 (44.081)	Prec@5 70.312 (74.748)
Epoch: [37][12000/14090]	Time 0.723 (0.767)	Data 0.001 (0.001)	Loss 2.5340 (2.2258)	Prec@1 41.406 (44.082)	Prec@5 68.750 (74.748)
Epoch: [37][12010/14090]	Time 0.860 (0.767)	Data 0.001 (0.001)	Loss 2.3288 (2.2258)	Prec@1 42.969 (44.083)	Prec@5 70.312 (74.748)
Epoch: [37][12020/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 2.2916 (2.2258)	Prec@1 39.062 (44.080)	Prec@5 70.312 (74.748)
Epoch: [37][12030/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.2644 (2.2258)	Prec@1 40.625 (44.080)	Prec@5 71.875 (74.747)
Epoch: [37][12040/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 2.3322 (2.2258)	Prec@1 40.625 (44.079)	Prec@5 73.438 (74.747)
Epoch: [37][12050/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 2.3471 (2.2258)	Prec@1 43.750 (44.081)	Prec@5 67.969 (74.748)
Epoch: [37][12060/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 2.2215 (2.2258)	Prec@1 44.531 (44.080)	Prec@5 76.562 (74.747)
Epoch: [37][12070/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 2.3592 (2.2259)	Prec@1 36.719 (44.080)	Prec@5 72.656 (74.747)
Epoch: [37][12080/14090]	Time 0.869 (0.767)	Data 0.001 (0.001)	Loss 2.3012 (2.2259)	Prec@1 42.188 (44.079)	Prec@5 72.656 (74.747)
Epoch: [37][12090/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 2.1811 (2.2260)	Prec@1 43.750 (44.077)	Prec@5 76.562 (74.746)
Epoch: [37][12100/14090]	Time 0.769 (0.767)	Data 0.001 (0.001)	Loss 2.2069 (2.2259)	Prec@1 43.750 (44.078)	Prec@5 77.344 (74.748)
Epoch: [37][12110/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 2.6545 (2.2260)	Prec@1 35.938 (44.077)	Prec@5 67.969 (74.747)
Epoch: [37][12120/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.3507 (2.2260)	Prec@1 39.062 (44.079)	Prec@5 70.312 (74.748)
Epoch: [37][12130/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 1.9337 (2.2260)	Prec@1 48.438 (44.079)	Prec@5 78.125 (74.748)
Epoch: [37][12140/14090]	Time 0.777 (0.767)	Data 0.001 (0.001)	Loss 2.0675 (2.2259)	Prec@1 47.656 (44.078)	Prec@5 80.469 (74.750)
Epoch: [37][12150/14090]	Time 0.850 (0.767)	Data 0.001 (0.001)	Loss 1.9631 (2.2259)	Prec@1 47.656 (44.078)	Prec@5 78.906 (74.749)
Epoch: [37][12160/14090]	Time 0.723 (0.767)	Data 0.001 (0.001)	Loss 2.1966 (2.2260)	Prec@1 48.438 (44.079)	Prec@5 75.000 (74.748)
Epoch: [37][12170/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 2.1295 (2.2260)	Prec@1 49.219 (44.078)	Prec@5 79.688 (74.747)
Epoch: [37][12180/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 2.1914 (2.2261)	Prec@1 42.969 (44.077)	Prec@5 73.438 (74.746)
Epoch: [37][12190/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 2.0166 (2.2261)	Prec@1 44.531 (44.078)	Prec@5 78.906 (74.747)
Epoch: [37][12200/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 2.1721 (2.2260)	Prec@1 49.219 (44.078)	Prec@5 78.125 (74.749)
Epoch: [37][12210/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 1.8551 (2.2260)	Prec@1 48.438 (44.077)	Prec@5 81.250 (74.750)
Epoch: [37][12220/14090]	Time 0.877 (0.767)	Data 0.001 (0.001)	Loss 2.3239 (2.2261)	Prec@1 40.625 (44.076)	Prec@5 75.781 (74.749)
Epoch: [37][12230/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 2.1621 (2.2260)	Prec@1 50.000 (44.077)	Prec@5 71.875 (74.751)
Epoch: [37][12240/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 1.8623 (2.2260)	Prec@1 55.469 (44.078)	Prec@5 79.688 (74.751)
Epoch: [37][12250/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 1.9974 (2.2260)	Prec@1 50.000 (44.078)	Prec@5 81.250 (74.751)
Epoch: [37][12260/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 2.1426 (2.2261)	Prec@1 43.750 (44.077)	Prec@5 75.781 (74.750)
Epoch: [37][12270/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 2.3753 (2.2261)	Prec@1 50.000 (44.077)	Prec@5 70.312 (74.749)
Epoch: [37][12280/14090]	Time 0.774 (0.767)	Data 0.001 (0.001)	Loss 2.2110 (2.2261)	Prec@1 42.969 (44.077)	Prec@5 69.531 (74.748)
Epoch: [37][12290/14090]	Time 0.849 (0.767)	Data 0.001 (0.001)	Loss 2.2017 (2.2262)	Prec@1 44.531 (44.075)	Prec@5 73.438 (74.747)
Epoch: [37][12300/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 2.4374 (2.2261)	Prec@1 42.188 (44.076)	Prec@5 71.875 (74.748)
Epoch: [37][12310/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 2.2547 (2.2261)	Prec@1 46.094 (44.077)	Prec@5 75.781 (74.750)
Epoch: [37][12320/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 2.3496 (2.2261)	Prec@1 41.406 (44.075)	Prec@5 71.094 (74.749)
Epoch: [37][12330/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 2.3876 (2.2262)	Prec@1 42.188 (44.074)	Prec@5 68.750 (74.748)
Epoch: [37][12340/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.3853 (2.2261)	Prec@1 37.500 (44.073)	Prec@5 72.656 (74.747)
Epoch: [37][12350/14090]	Time 0.782 (0.767)	Data 0.001 (0.001)	Loss 2.2943 (2.2262)	Prec@1 43.750 (44.071)	Prec@5 72.656 (74.745)
Epoch: [37][12360/14090]	Time 0.850 (0.767)	Data 0.001 (0.001)	Loss 2.3835 (2.2263)	Prec@1 37.500 (44.071)	Prec@5 72.656 (74.745)
Epoch: [37][12370/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 2.4887 (2.2263)	Prec@1 37.500 (44.070)	Prec@5 68.750 (74.745)
Epoch: [37][12380/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 2.2054 (2.2263)	Prec@1 46.094 (44.071)	Prec@5 68.750 (74.745)
Epoch: [37][12390/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 2.1685 (2.2262)	Prec@1 44.531 (44.072)	Prec@5 72.656 (74.745)
Epoch: [37][12400/14090]	Time 0.722 (0.767)	Data 0.001 (0.001)	Loss 1.9814 (2.2263)	Prec@1 49.219 (44.072)	Prec@5 78.125 (74.745)
Epoch: [37][12410/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 2.2397 (2.2262)	Prec@1 40.625 (44.072)	Prec@5 74.219 (74.746)
Epoch: [37][12420/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 2.3380 (2.2263)	Prec@1 42.188 (44.070)	Prec@5 71.094 (74.744)
Epoch: [37][12430/14090]	Time 0.870 (0.767)	Data 0.001 (0.001)	Loss 2.3663 (2.2264)	Prec@1 34.375 (44.069)	Prec@5 77.344 (74.743)
Epoch: [37][12440/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.3025 (2.2264)	Prec@1 40.625 (44.069)	Prec@5 72.656 (74.743)
Epoch: [37][12450/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.0962 (2.2264)	Prec@1 48.438 (44.069)	Prec@5 78.125 (74.744)
Epoch: [37][12460/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 2.3865 (2.2264)	Prec@1 39.062 (44.069)	Prec@5 71.875 (74.742)
Epoch: [37][12470/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.3082 (2.2264)	Prec@1 40.625 (44.071)	Prec@5 75.000 (74.742)
Epoch: [37][12480/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 2.1829 (2.2264)	Prec@1 45.312 (44.071)	Prec@5 78.906 (74.742)
Epoch: [37][12490/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 2.2619 (2.2264)	Prec@1 51.562 (44.072)	Prec@5 78.125 (74.741)
Epoch: [37][12500/14090]	Time 0.851 (0.767)	Data 0.001 (0.001)	Loss 2.3974 (2.2265)	Prec@1 39.062 (44.071)	Prec@5 69.531 (74.739)
Epoch: [37][12510/14090]	Time 0.790 (0.767)	Data 0.001 (0.001)	Loss 2.4603 (2.2264)	Prec@1 39.844 (44.070)	Prec@5 70.312 (74.739)
Epoch: [37][12520/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 2.4106 (2.2265)	Prec@1 38.281 (44.071)	Prec@5 70.312 (74.739)
Epoch: [37][12530/14090]	Time 0.765 (0.767)	Data 0.001 (0.001)	Loss 2.5050 (2.2266)	Prec@1 37.500 (44.069)	Prec@5 73.438 (74.738)
Epoch: [37][12540/14090]	Time 0.763 (0.767)	Data 0.001 (0.001)	Loss 2.2961 (2.2265)	Prec@1 36.719 (44.069)	Prec@5 76.562 (74.738)
Epoch: [37][12550/14090]	Time 0.765 (0.767)	Data 0.001 (0.001)	Loss 2.4199 (2.2265)	Prec@1 41.406 (44.070)	Prec@5 71.875 (74.739)
Epoch: [37][12560/14090]	Time 0.769 (0.767)	Data 0.001 (0.001)	Loss 2.1378 (2.2265)	Prec@1 46.094 (44.068)	Prec@5 75.000 (74.739)
Epoch: [37][12570/14090]	Time 0.844 (0.767)	Data 0.001 (0.001)	Loss 2.2836 (2.2265)	Prec@1 47.656 (44.068)	Prec@5 69.531 (74.737)
Epoch: [37][12580/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.3941 (2.2266)	Prec@1 42.969 (44.067)	Prec@5 70.312 (74.736)
Epoch: [37][12590/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 2.1374 (2.2265)	Prec@1 46.875 (44.068)	Prec@5 78.125 (74.736)
Epoch: [37][12600/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 2.0075 (2.2266)	Prec@1 47.656 (44.067)	Prec@5 75.000 (74.736)
Epoch: [37][12610/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 2.4505 (2.2266)	Prec@1 39.844 (44.065)	Prec@5 69.531 (74.736)
Epoch: [37][12620/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 2.0316 (2.2266)	Prec@1 50.000 (44.066)	Prec@5 78.906 (74.737)
Epoch: [37][12630/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 2.1762 (2.2266)	Prec@1 45.312 (44.066)	Prec@5 78.906 (74.738)
Epoch: [37][12640/14090]	Time 0.869 (0.767)	Data 0.001 (0.001)	Loss 2.5566 (2.2266)	Prec@1 39.062 (44.065)	Prec@5 67.188 (74.736)
Epoch: [37][12650/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 2.2168 (2.2266)	Prec@1 46.094 (44.066)	Prec@5 74.219 (74.736)
Epoch: [37][12660/14090]	Time 0.778 (0.767)	Data 0.001 (0.001)	Loss 2.3004 (2.2267)	Prec@1 41.406 (44.064)	Prec@5 75.000 (74.734)
Epoch: [37][12670/14090]	Time 0.727 (0.767)	Data 0.001 (0.001)	Loss 2.6214 (2.2267)	Prec@1 34.375 (44.065)	Prec@5 65.625 (74.734)
Epoch: [37][12680/14090]	Time 0.786 (0.767)	Data 0.001 (0.001)	Loss 2.4717 (2.2267)	Prec@1 39.062 (44.066)	Prec@5 71.875 (74.733)
Epoch: [37][12690/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 2.2954 (2.2267)	Prec@1 42.969 (44.067)	Prec@5 72.656 (74.734)
Epoch: [37][12700/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 2.3447 (2.2267)	Prec@1 40.625 (44.068)	Prec@5 71.094 (74.734)
Epoch: [37][12710/14090]	Time 0.868 (0.767)	Data 0.001 (0.001)	Loss 1.8797 (2.2267)	Prec@1 56.250 (44.067)	Prec@5 78.906 (74.733)
Epoch: [37][12720/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 1.9700 (2.2267)	Prec@1 51.562 (44.069)	Prec@5 75.000 (74.735)
Epoch: [37][12730/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 2.2581 (2.2267)	Prec@1 46.094 (44.069)	Prec@5 71.875 (74.734)
Epoch: [37][12740/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 2.3273 (2.2267)	Prec@1 46.094 (44.069)	Prec@5 71.875 (74.734)
Epoch: [37][12750/14090]	Time 0.769 (0.767)	Data 0.001 (0.001)	Loss 2.1962 (2.2266)	Prec@1 49.219 (44.070)	Prec@5 74.219 (74.735)
Epoch: [37][12760/14090]	Time 0.775 (0.767)	Data 0.001 (0.001)	Loss 2.3396 (2.2268)	Prec@1 39.062 (44.067)	Prec@5 72.656 (74.732)
Epoch: [37][12770/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.2121 (2.2267)	Prec@1 46.875 (44.069)	Prec@5 75.781 (74.732)
Epoch: [37][12780/14090]	Time 0.870 (0.767)	Data 0.001 (0.001)	Loss 2.3161 (2.2268)	Prec@1 39.062 (44.070)	Prec@5 74.219 (74.731)
Epoch: [37][12790/14090]	Time 0.766 (0.767)	Data 0.001 (0.001)	Loss 2.2077 (2.2268)	Prec@1 46.875 (44.070)	Prec@5 74.219 (74.731)
Epoch: [37][12800/14090]	Time 0.770 (0.767)	Data 0.001 (0.001)	Loss 2.3457 (2.2268)	Prec@1 46.094 (44.069)	Prec@5 71.094 (74.729)
Epoch: [37][12810/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.4172 (2.2269)	Prec@1 33.594 (44.068)	Prec@5 71.875 (74.729)
Epoch: [37][12820/14090]	Time 0.722 (0.767)	Data 0.001 (0.001)	Loss 1.9419 (2.2269)	Prec@1 45.312 (44.068)	Prec@5 83.594 (74.729)
Epoch: [37][12830/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 2.5228 (2.2269)	Prec@1 42.188 (44.068)	Prec@5 70.312 (74.730)
Epoch: [37][12840/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 2.4413 (2.2270)	Prec@1 41.406 (44.066)	Prec@5 71.094 (74.729)
Epoch: [37][12850/14090]	Time 0.831 (0.767)	Data 0.001 (0.001)	Loss 2.0849 (2.2270)	Prec@1 48.438 (44.067)	Prec@5 74.219 (74.727)
Epoch: [37][12860/14090]	Time 0.779 (0.767)	Data 0.001 (0.001)	Loss 2.3293 (2.2271)	Prec@1 42.188 (44.065)	Prec@5 74.219 (74.726)
Epoch: [37][12870/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 2.1684 (2.2270)	Prec@1 46.875 (44.067)	Prec@5 73.438 (74.728)
Epoch: [37][12880/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 2.3672 (2.2270)	Prec@1 39.844 (44.067)	Prec@5 71.875 (74.727)
Epoch: [37][12890/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 2.3542 (2.2270)	Prec@1 42.969 (44.066)	Prec@5 67.969 (74.726)
Epoch: [37][12900/14090]	Time 0.758 (0.767)	Data 0.002 (0.001)	Loss 2.3141 (2.2270)	Prec@1 41.406 (44.067)	Prec@5 75.781 (74.726)
Epoch: [37][12910/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 2.2946 (2.2271)	Prec@1 42.188 (44.066)	Prec@5 74.219 (74.724)
Epoch: [37][12920/14090]	Time 1.007 (0.767)	Data 0.001 (0.001)	Loss 2.2805 (2.2271)	Prec@1 45.312 (44.066)	Prec@5 73.438 (74.725)
Epoch: [37][12930/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 2.4281 (2.2271)	Prec@1 44.531 (44.066)	Prec@5 73.438 (74.726)
Epoch: [37][12940/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 2.3011 (2.2270)	Prec@1 38.281 (44.066)	Prec@5 75.000 (74.727)
Epoch: [37][12950/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.4436 (2.2271)	Prec@1 34.375 (44.063)	Prec@5 71.875 (74.726)
Epoch: [37][12960/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 2.1500 (2.2271)	Prec@1 46.094 (44.063)	Prec@5 73.438 (74.725)
Epoch: [37][12970/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 2.2167 (2.2271)	Prec@1 45.312 (44.063)	Prec@5 72.656 (74.725)
Epoch: [37][12980/14090]	Time 0.765 (0.767)	Data 0.001 (0.001)	Loss 2.1785 (2.2271)	Prec@1 50.781 (44.064)	Prec@5 77.344 (74.726)
Epoch: [37][12990/14090]	Time 0.850 (0.767)	Data 0.001 (0.001)	Loss 2.2103 (2.2271)	Prec@1 46.094 (44.064)	Prec@5 68.750 (74.725)
Epoch: [37][13000/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 2.2755 (2.2271)	Prec@1 42.969 (44.063)	Prec@5 73.438 (74.726)
Epoch: [37][13010/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 2.3606 (2.2271)	Prec@1 34.375 (44.064)	Prec@5 67.188 (74.727)
Epoch: [37][13020/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 2.0196 (2.2270)	Prec@1 49.219 (44.067)	Prec@5 78.906 (74.728)
Epoch: [37][13030/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 2.1705 (2.2270)	Prec@1 42.969 (44.066)	Prec@5 76.562 (74.728)
Epoch: [37][13040/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 2.0238 (2.2269)	Prec@1 49.219 (44.068)	Prec@5 80.469 (74.730)
Epoch: [37][13050/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.0386 (2.2270)	Prec@1 46.094 (44.067)	Prec@5 76.562 (74.729)
Epoch: [37][13060/14090]	Time 0.842 (0.767)	Data 0.001 (0.001)	Loss 2.2031 (2.2270)	Prec@1 42.969 (44.068)	Prec@5 75.000 (74.728)
Epoch: [37][13070/14090]	Time 0.723 (0.767)	Data 0.001 (0.001)	Loss 2.1708 (2.2270)	Prec@1 44.531 (44.067)	Prec@5 78.125 (74.728)
Epoch: [37][13080/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.3845 (2.2270)	Prec@1 42.188 (44.067)	Prec@5 73.438 (74.728)
Epoch: [37][13090/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 2.2563 (2.2270)	Prec@1 44.531 (44.067)	Prec@5 77.344 (74.729)
Epoch: [37][13100/14090]	Time 0.772 (0.767)	Data 0.001 (0.001)	Loss 2.4764 (2.2270)	Prec@1 38.281 (44.067)	Prec@5 70.312 (74.730)
Epoch: [37][13110/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 2.3246 (2.2270)	Prec@1 42.188 (44.067)	Prec@5 71.875 (74.729)
Epoch: [37][13120/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 2.1450 (2.2270)	Prec@1 43.750 (44.067)	Prec@5 77.344 (74.729)
Epoch: [37][13130/14090]	Time 0.895 (0.767)	Data 0.001 (0.001)	Loss 2.3748 (2.2271)	Prec@1 37.500 (44.066)	Prec@5 68.750 (74.727)
Epoch: [37][13140/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 2.2767 (2.2271)	Prec@1 41.406 (44.066)	Prec@5 73.438 (74.727)
Epoch: [37][13150/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 2.2033 (2.2270)	Prec@1 39.062 (44.068)	Prec@5 77.344 (74.728)
Epoch: [37][13160/14090]	Time 0.780 (0.767)	Data 0.001 (0.001)	Loss 2.3327 (2.2270)	Prec@1 39.844 (44.067)	Prec@5 77.344 (74.728)
Epoch: [37][13170/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.3928 (2.2271)	Prec@1 41.406 (44.066)	Prec@5 68.750 (74.728)
Epoch: [37][13180/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 2.3358 (2.2271)	Prec@1 42.188 (44.066)	Prec@5 73.438 (74.728)
Epoch: [37][13190/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 1.9862 (2.2271)	Prec@1 49.219 (44.065)	Prec@5 76.562 (74.728)
Epoch: [37][13200/14090]	Time 0.858 (0.767)	Data 0.001 (0.001)	Loss 2.3623 (2.2271)	Prec@1 42.188 (44.066)	Prec@5 69.531 (74.729)
Epoch: [37][13210/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 2.2180 (2.2271)	Prec@1 40.625 (44.064)	Prec@5 73.438 (74.729)
Epoch: [37][13220/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 2.1934 (2.2271)	Prec@1 47.656 (44.067)	Prec@5 75.000 (74.728)
Epoch: [37][13230/14090]	Time 0.726 (0.767)	Data 0.001 (0.001)	Loss 1.9395 (2.2271)	Prec@1 51.562 (44.066)	Prec@5 79.688 (74.729)
Epoch: [37][13240/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 2.2385 (2.2271)	Prec@1 47.656 (44.066)	Prec@5 74.219 (74.730)
Epoch: [37][13250/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 2.1539 (2.2271)	Prec@1 46.094 (44.066)	Prec@5 78.125 (74.731)
Epoch: [37][13260/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 1.9912 (2.2270)	Prec@1 46.094 (44.067)	Prec@5 78.125 (74.731)
Epoch: [37][13270/14090]	Time 0.874 (0.767)	Data 0.001 (0.001)	Loss 2.1156 (2.2270)	Prec@1 47.656 (44.068)	Prec@5 75.000 (74.732)
Epoch: [37][13280/14090]	Time 0.724 (0.767)	Data 0.001 (0.001)	Loss 1.9869 (2.2270)	Prec@1 46.875 (44.068)	Prec@5 78.906 (74.732)
Epoch: [37][13290/14090]	Time 0.767 (0.767)	Data 0.001 (0.001)	Loss 1.9591 (2.2270)	Prec@1 53.906 (44.068)	Prec@5 81.250 (74.731)
Epoch: [37][13300/14090]	Time 0.780 (0.767)	Data 0.001 (0.001)	Loss 2.3446 (2.2270)	Prec@1 46.094 (44.069)	Prec@5 69.531 (74.731)
Epoch: [37][13310/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.2546 (2.2270)	Prec@1 38.281 (44.067)	Prec@5 75.000 (74.731)
Epoch: [37][13320/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 2.3523 (2.2270)	Prec@1 42.188 (44.066)	Prec@5 73.438 (74.731)
Epoch: [37][13330/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.3888 (2.2271)	Prec@1 39.062 (44.066)	Prec@5 72.656 (74.731)
Epoch: [37][13340/14090]	Time 1.047 (0.767)	Data 0.001 (0.001)	Loss 2.4816 (2.2271)	Prec@1 35.938 (44.067)	Prec@5 73.438 (74.731)
Epoch: [37][13350/14090]	Time 0.766 (0.767)	Data 0.001 (0.001)	Loss 2.1966 (2.2270)	Prec@1 44.531 (44.068)	Prec@5 77.344 (74.733)
Epoch: [37][13360/14090]	Time 0.764 (0.767)	Data 0.001 (0.001)	Loss 2.1843 (2.2270)	Prec@1 43.750 (44.068)	Prec@5 75.781 (74.733)
Epoch: [37][13370/14090]	Time 0.770 (0.767)	Data 0.002 (0.001)	Loss 2.1837 (2.2271)	Prec@1 39.062 (44.066)	Prec@5 75.781 (74.732)
Epoch: [37][13380/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 2.1360 (2.2271)	Prec@1 42.969 (44.065)	Prec@5 76.562 (74.731)
Epoch: [37][13390/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.1573 (2.2271)	Prec@1 46.094 (44.067)	Prec@5 73.438 (74.731)
Epoch: [37][13400/14090]	Time 0.763 (0.767)	Data 0.001 (0.001)	Loss 1.9908 (2.2270)	Prec@1 53.125 (44.068)	Prec@5 75.781 (74.732)
Epoch: [37][13410/14090]	Time 0.873 (0.767)	Data 0.001 (0.001)	Loss 2.1962 (2.2270)	Prec@1 46.875 (44.067)	Prec@5 74.219 (74.732)
Epoch: [37][13420/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 2.1000 (2.2271)	Prec@1 46.094 (44.067)	Prec@5 75.781 (74.731)
Epoch: [37][13430/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 2.3119 (2.2270)	Prec@1 44.531 (44.069)	Prec@5 71.875 (74.732)
Epoch: [37][13440/14090]	Time 0.776 (0.767)	Data 0.001 (0.001)	Loss 2.4634 (2.2271)	Prec@1 42.188 (44.069)	Prec@5 71.094 (74.731)
Epoch: [37][13450/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 2.0903 (2.2270)	Prec@1 52.344 (44.070)	Prec@5 75.781 (74.733)
Epoch: [37][13460/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.2937 (2.2270)	Prec@1 39.844 (44.069)	Prec@5 75.000 (74.733)
Epoch: [37][13470/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.5767 (2.2271)	Prec@1 40.625 (44.068)	Prec@5 71.094 (74.732)
Epoch: [37][13480/14090]	Time 0.854 (0.767)	Data 0.001 (0.001)	Loss 2.2512 (2.2270)	Prec@1 42.188 (44.069)	Prec@5 71.875 (74.733)
Epoch: [37][13490/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 2.3561 (2.2271)	Prec@1 39.844 (44.069)	Prec@5 70.312 (74.733)
Epoch: [37][13500/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 2.1136 (2.2271)	Prec@1 51.562 (44.069)	Prec@5 75.781 (74.732)
Epoch: [37][13510/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 2.1180 (2.2271)	Prec@1 41.406 (44.069)	Prec@5 75.000 (74.730)
Epoch: [37][13520/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 2.0528 (2.2271)	Prec@1 46.875 (44.069)	Prec@5 77.344 (74.730)
Epoch: [37][13530/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 2.0954 (2.2272)	Prec@1 45.312 (44.069)	Prec@5 80.469 (74.730)
Epoch: [37][13540/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 2.3020 (2.2271)	Prec@1 48.438 (44.068)	Prec@5 74.219 (74.731)
Epoch: [37][13550/14090]	Time 0.872 (0.767)	Data 0.001 (0.001)	Loss 2.3149 (2.2272)	Prec@1 42.969 (44.067)	Prec@5 69.531 (74.730)
Epoch: [37][13560/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 1.9796 (2.2272)	Prec@1 48.438 (44.068)	Prec@5 80.469 (74.731)
Epoch: [37][13570/14090]	Time 0.725 (0.767)	Data 0.001 (0.001)	Loss 2.2708 (2.2273)	Prec@1 45.312 (44.066)	Prec@5 75.781 (74.729)
Epoch: [37][13580/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.1490 (2.2272)	Prec@1 43.750 (44.067)	Prec@5 76.562 (74.730)
Epoch: [37][13590/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 2.2000 (2.2273)	Prec@1 42.188 (44.064)	Prec@5 78.906 (74.730)
Epoch: [37][13600/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 2.2024 (2.2274)	Prec@1 46.094 (44.063)	Prec@5 74.219 (74.728)
Epoch: [37][13610/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 2.3450 (2.2275)	Prec@1 39.844 (44.061)	Prec@5 72.656 (74.726)
Epoch: [37][13620/14090]	Time 0.982 (0.767)	Data 0.001 (0.001)	Loss 2.4871 (2.2275)	Prec@1 38.281 (44.060)	Prec@5 68.750 (74.727)
Epoch: [37][13630/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 2.3716 (2.2275)	Prec@1 34.375 (44.060)	Prec@5 72.656 (74.727)
Epoch: [37][13640/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 2.4987 (2.2275)	Prec@1 40.625 (44.060)	Prec@5 74.219 (74.728)
Epoch: [37][13650/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 2.2819 (2.2275)	Prec@1 40.625 (44.059)	Prec@5 72.656 (74.727)
Epoch: [37][13660/14090]	Time 0.765 (0.767)	Data 0.001 (0.001)	Loss 2.1809 (2.2276)	Prec@1 47.656 (44.057)	Prec@5 72.656 (74.725)
Epoch: [37][13670/14090]	Time 0.727 (0.767)	Data 0.001 (0.001)	Loss 2.1927 (2.2275)	Prec@1 43.750 (44.057)	Prec@5 73.438 (74.726)
Epoch: [37][13680/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 2.2760 (2.2276)	Prec@1 42.969 (44.058)	Prec@5 77.344 (74.726)
Epoch: [37][13690/14090]	Time 0.864 (0.767)	Data 0.001 (0.001)	Loss 1.9189 (2.2276)	Prec@1 53.125 (44.058)	Prec@5 81.250 (74.725)
Epoch: [37][13700/14090]	Time 0.736 (0.767)	Data 0.002 (0.001)	Loss 2.4730 (2.2276)	Prec@1 40.625 (44.057)	Prec@5 70.312 (74.724)
Epoch: [37][13710/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 2.0907 (2.2276)	Prec@1 46.094 (44.058)	Prec@5 78.125 (74.724)
Epoch: [37][13720/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 2.2966 (2.2276)	Prec@1 45.312 (44.057)	Prec@5 71.094 (74.723)
Epoch: [37][13730/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 2.3448 (2.2276)	Prec@1 47.656 (44.058)	Prec@5 73.438 (74.722)
Epoch: [37][13740/14090]	Time 0.766 (0.767)	Data 0.001 (0.001)	Loss 2.2831 (2.2275)	Prec@1 40.625 (44.059)	Prec@5 70.312 (74.722)
Epoch: [37][13750/14090]	Time 0.780 (0.767)	Data 0.001 (0.001)	Loss 2.5730 (2.2275)	Prec@1 35.938 (44.059)	Prec@5 66.406 (74.723)
Epoch: [37][13760/14090]	Time 0.931 (0.767)	Data 0.001 (0.001)	Loss 2.3244 (2.2274)	Prec@1 42.188 (44.060)	Prec@5 69.531 (74.723)
Epoch: [37][13770/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 2.3202 (2.2274)	Prec@1 45.312 (44.059)	Prec@5 71.875 (74.724)
Epoch: [37][13780/14090]	Time 0.719 (0.767)	Data 0.001 (0.001)	Loss 2.0661 (2.2274)	Prec@1 48.438 (44.060)	Prec@5 76.562 (74.724)
Epoch: [37][13790/14090]	Time 0.770 (0.767)	Data 0.001 (0.001)	Loss 2.6695 (2.2275)	Prec@1 37.500 (44.059)	Prec@5 68.750 (74.723)
Epoch: [37][13800/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 2.2544 (2.2275)	Prec@1 45.312 (44.059)	Prec@5 74.219 (74.723)
Epoch: [37][13810/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 2.4372 (2.2275)	Prec@1 33.594 (44.059)	Prec@5 68.750 (74.723)
Epoch: [37][13820/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 2.2982 (2.2275)	Prec@1 42.969 (44.059)	Prec@5 72.656 (74.723)
Epoch: [37][13830/14090]	Time 0.940 (0.767)	Data 0.001 (0.001)	Loss 2.3149 (2.2275)	Prec@1 40.625 (44.060)	Prec@5 71.875 (74.723)
Epoch: [37][13840/14090]	Time 0.727 (0.767)	Data 0.001 (0.001)	Loss 2.1895 (2.2275)	Prec@1 47.656 (44.059)	Prec@5 74.219 (74.722)
Epoch: [37][13850/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 1.9953 (2.2275)	Prec@1 47.656 (44.059)	Prec@5 76.562 (74.721)
Epoch: [37][13860/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 2.4120 (2.2275)	Prec@1 42.188 (44.060)	Prec@5 69.531 (74.721)
Epoch: [37][13870/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 2.1445 (2.2274)	Prec@1 42.188 (44.062)	Prec@5 77.344 (74.723)
Epoch: [37][13880/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.3107 (2.2274)	Prec@1 43.750 (44.062)	Prec@5 71.875 (74.723)
Epoch: [37][13890/14090]	Time 0.726 (0.767)	Data 0.001 (0.001)	Loss 2.5109 (2.2274)	Prec@1 39.062 (44.062)	Prec@5 68.750 (74.722)
Epoch: [37][13900/14090]	Time 0.869 (0.767)	Data 0.001 (0.001)	Loss 2.5419 (2.2275)	Prec@1 39.844 (44.061)	Prec@5 66.406 (74.720)
Epoch: [37][13910/14090]	Time 0.778 (0.767)	Data 0.001 (0.001)	Loss 2.3124 (2.2275)	Prec@1 42.969 (44.060)	Prec@5 69.531 (74.720)
Epoch: [37][13920/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 2.2026 (2.2275)	Prec@1 41.406 (44.059)	Prec@5 70.312 (74.718)
Epoch: [37][13930/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 2.3852 (2.2275)	Prec@1 42.188 (44.061)	Prec@5 67.969 (74.719)
Epoch: [37][13940/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 2.3401 (2.2275)	Prec@1 43.750 (44.060)	Prec@5 71.094 (74.718)
Epoch: [37][13950/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 2.1501 (2.2275)	Prec@1 42.969 (44.059)	Prec@5 74.219 (74.717)
Epoch: [37][13960/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 2.5206 (2.2275)	Prec@1 42.969 (44.059)	Prec@5 67.969 (74.717)
Epoch: [37][13970/14090]	Time 0.879 (0.767)	Data 0.001 (0.001)	Loss 2.1063 (2.2276)	Prec@1 42.969 (44.059)	Prec@5 81.250 (74.716)
Epoch: [37][13980/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 2.4123 (2.2276)	Prec@1 42.188 (44.058)	Prec@5 71.094 (74.714)
Epoch: [37][13990/14090]	Time 0.763 (0.767)	Data 0.001 (0.001)	Loss 2.3077 (2.2277)	Prec@1 42.188 (44.057)	Prec@5 72.656 (74.712)
Epoch: [37][14000/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 2.3983 (2.2277)	Prec@1 38.281 (44.056)	Prec@5 71.094 (74.713)
Epoch: [37][14010/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 2.2255 (2.2277)	Prec@1 40.625 (44.055)	Prec@5 78.125 (74.713)
Epoch: [37][14020/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 1.8800 (2.2278)	Prec@1 54.688 (44.055)	Prec@5 78.125 (74.712)
Epoch: [37][14030/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 2.0444 (2.2277)	Prec@1 40.625 (44.055)	Prec@5 78.125 (74.713)
Epoch: [37][14040/14090]	Time 0.838 (0.767)	Data 0.001 (0.001)	Loss 2.1083 (2.2277)	Prec@1 43.750 (44.055)	Prec@5 77.344 (74.714)
Epoch: [37][14050/14090]	Time 0.726 (0.767)	Data 0.001 (0.001)	Loss 2.3125 (2.2277)	Prec@1 39.844 (44.056)	Prec@5 74.219 (74.715)
Epoch: [37][14060/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 2.0751 (2.2277)	Prec@1 42.188 (44.056)	Prec@5 78.125 (74.715)
Epoch: [37][14070/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 2.3722 (2.2277)	Prec@1 42.969 (44.055)	Prec@5 71.875 (74.714)
Epoch: [37][14080/14090]	Time 0.723 (0.767)	Data 0.000 (0.001)	Loss 2.4644 (2.2277)	Prec@1 36.719 (44.055)	Prec@5 71.875 (74.715)
Test: [0/286]	Time 4.139 (4.139)	Loss 1.1295 (1.1295)	Prec@1 65.625 (65.625)	Prec@5 94.531 (94.531)
Test: [10/286]	Time 0.236 (0.686)	Loss 2.1482 (1.9446)	Prec@1 45.312 (51.349)	Prec@5 78.125 (81.960)
Test: [20/286]	Time 0.237 (0.530)	Loss 1.6783 (1.8546)	Prec@1 56.250 (52.046)	Prec@5 87.500 (83.222)
Test: [30/286]	Time 0.228 (0.472)	Loss 2.1115 (1.7859)	Prec@1 52.344 (54.410)	Prec@5 77.344 (83.115)
Test: [40/286]	Time 1.161 (0.465)	Loss 1.6379 (1.8026)	Prec@1 44.531 (53.354)	Prec@5 88.281 (83.117)
Test: [50/286]	Time 0.233 (0.444)	Loss 0.7912 (1.7967)	Prec@1 87.500 (53.339)	Prec@5 91.406 (83.395)
Test: [60/286]	Time 0.229 (0.430)	Loss 2.7130 (1.8218)	Prec@1 39.062 (52.920)	Prec@5 63.281 (82.249)
Test: [70/286]	Time 0.260 (0.421)	Loss 1.0797 (1.8139)	Prec@1 73.438 (53.015)	Prec@5 92.969 (82.317)
Test: [80/286]	Time 1.329 (0.425)	Loss 1.9935 (1.8451)	Prec@1 47.656 (51.919)	Prec@5 78.125 (81.973)
Test: [90/286]	Time 0.292 (0.419)	Loss 1.9914 (1.8516)	Prec@1 50.781 (51.846)	Prec@5 82.031 (81.851)
Test: [100/286]	Time 0.222 (0.413)	Loss 2.7613 (1.8868)	Prec@1 21.094 (50.642)	Prec@5 77.344 (81.614)
Test: [110/286]	Time 0.328 (0.409)	Loss 2.5738 (1.9090)	Prec@1 33.594 (49.979)	Prec@5 71.094 (81.539)
Test: [120/286]	Time 0.957 (0.411)	Loss 1.5948 (1.8930)	Prec@1 64.062 (50.446)	Prec@5 82.031 (81.844)
Test: [130/286]	Time 0.235 (0.407)	Loss 1.0670 (1.8852)	Prec@1 67.188 (50.692)	Prec@5 92.969 (81.942)
Test: [140/286]	Time 0.294 (0.404)	Loss 2.1916 (1.8787)	Prec@1 50.000 (50.887)	Prec@5 75.781 (81.937)
Test: [150/286]	Time 0.477 (0.403)	Loss 3.0572 (1.8972)	Prec@1 18.750 (50.243)	Prec@5 65.625 (81.757)
Test: [160/286]	Time 0.512 (0.402)	Loss 2.5879 (1.8980)	Prec@1 29.688 (50.252)	Prec@5 71.875 (81.769)
Test: [170/286]	Time 0.636 (0.402)	Loss 1.9700 (1.8903)	Prec@1 43.750 (50.343)	Prec@5 82.812 (81.940)
Test: [180/286]	Time 0.232 (0.400)	Loss 2.3584 (1.9022)	Prec@1 52.344 (50.069)	Prec@5 71.875 (81.893)
Test: [190/286]	Time 0.908 (0.401)	Loss 2.9261 (1.9235)	Prec@1 21.094 (49.505)	Prec@5 75.781 (81.647)
Test: [200/286]	Time 0.250 (0.399)	Loss 1.9322 (1.9132)	Prec@1 50.000 (49.775)	Prec@5 85.156 (81.732)
Test: [210/286]	Time 0.435 (0.398)	Loss 2.5490 (1.9212)	Prec@1 28.125 (49.537)	Prec@5 75.781 (81.580)
Test: [220/286]	Time 0.229 (0.397)	Loss 3.6291 (1.9341)	Prec@1 13.281 (49.328)	Prec@5 49.219 (81.307)
Test: [230/286]	Time 1.104 (0.399)	Loss 1.0784 (1.9332)	Prec@1 72.656 (49.439)	Prec@5 91.406 (81.267)
Test: [240/286]	Time 0.340 (0.397)	Loss 1.8977 (1.9300)	Prec@1 53.125 (49.579)	Prec@5 83.594 (81.295)
Test: [250/286]	Time 0.453 (0.396)	Loss 2.0484 (1.9177)	Prec@1 42.188 (49.670)	Prec@5 77.344 (81.571)
Test: [260/286]	Time 0.243 (0.395)	Loss 2.0759 (1.9085)	Prec@1 48.438 (49.970)	Prec@5 78.906 (81.735)
Test: [270/286]	Time 0.855 (0.396)	Loss 1.3320 (1.9087)	Prec@1 67.969 (50.023)	Prec@5 89.844 (81.760)
Test: [280/286]	Time 0.225 (0.395)	Loss 1.5756 (1.8937)	Prec@1 59.375 (50.462)	Prec@5 90.625 (81.903)
 * Prec@1 50.623 Prec@5 81.932
Epoch: [38][0/14090]	Time 5.492 (5.492)	Data 4.729 (4.729)	Loss 2.0338 (2.0338)	Prec@1 44.531 (44.531)	Prec@5 74.219 (74.219)
Epoch: [38][10/14090]	Time 0.823 (1.173)	Data 0.001 (0.431)	Loss 2.3597 (2.2912)	Prec@1 35.938 (42.188)	Prec@5 74.219 (74.006)
Epoch: [38][20/14090]	Time 0.722 (0.969)	Data 0.001 (0.226)	Loss 2.5267 (2.2337)	Prec@1 36.719 (44.234)	Prec@5 74.219 (75.298)
Epoch: [38][30/14090]	Time 0.745 (0.899)	Data 0.001 (0.153)	Loss 2.1648 (2.2411)	Prec@1 44.531 (43.901)	Prec@5 75.000 (74.849)
Epoch: [38][40/14090]	Time 0.735 (0.866)	Data 0.001 (0.116)	Loss 2.1649 (2.2283)	Prec@1 50.781 (43.941)	Prec@5 72.656 (74.695)
Epoch: [38][50/14090]	Time 0.758 (0.843)	Data 0.001 (0.093)	Loss 2.5615 (2.2260)	Prec@1 40.625 (44.148)	Prec@5 71.875 (74.847)
Epoch: [38][60/14090]	Time 0.761 (0.830)	Data 0.001 (0.078)	Loss 2.3705 (2.2273)	Prec@1 39.844 (43.814)	Prec@5 71.875 (74.782)
Epoch: [38][70/14090]	Time 0.747 (0.820)	Data 0.001 (0.067)	Loss 2.1210 (2.2295)	Prec@1 48.438 (43.860)	Prec@5 75.000 (74.582)
Epoch: [38][80/14090]	Time 0.847 (0.813)	Data 0.001 (0.059)	Loss 1.9887 (2.2185)	Prec@1 50.781 (44.097)	Prec@5 76.562 (74.759)
Epoch: [38][90/14090]	Time 0.732 (0.807)	Data 0.001 (0.053)	Loss 1.9560 (2.2176)	Prec@1 48.438 (44.111)	Prec@5 77.344 (74.742)
Epoch: [38][100/14090]	Time 0.756 (0.802)	Data 0.001 (0.048)	Loss 2.1547 (2.2127)	Prec@1 42.188 (44.415)	Prec@5 73.438 (74.760)
Epoch: [38][110/14090]	Time 0.764 (0.799)	Data 0.001 (0.043)	Loss 2.2103 (2.2162)	Prec@1 45.312 (44.292)	Prec@5 77.344 (74.747)
Epoch: [38][120/14090]	Time 0.722 (0.796)	Data 0.001 (0.040)	Loss 2.3826 (2.2140)	Prec@1 42.188 (44.331)	Prec@5 70.312 (74.826)
Epoch: [38][130/14090]	Time 0.747 (0.794)	Data 0.001 (0.037)	Loss 2.4348 (2.2178)	Prec@1 42.188 (44.132)	Prec@5 67.969 (74.744)
Epoch: [38][140/14090]	Time 0.752 (0.792)	Data 0.001 (0.034)	Loss 2.3434 (2.2189)	Prec@1 36.719 (44.055)	Prec@5 71.094 (74.701)
Epoch: [38][150/14090]	Time 0.846 (0.790)	Data 0.001 (0.032)	Loss 2.5464 (2.2152)	Prec@1 34.375 (44.076)	Prec@5 68.750 (74.752)
Epoch: [38][160/14090]	Time 0.728 (0.788)	Data 0.001 (0.030)	Loss 1.9312 (2.2177)	Prec@1 50.000 (44.109)	Prec@5 78.125 (74.660)
Epoch: [38][170/14090]	Time 0.776 (0.787)	Data 0.001 (0.028)	Loss 1.9630 (2.2128)	Prec@1 48.438 (44.294)	Prec@5 81.250 (74.712)
Epoch: [38][180/14090]	Time 0.761 (0.786)	Data 0.001 (0.027)	Loss 2.0430 (2.2068)	Prec@1 50.000 (44.454)	Prec@5 76.562 (74.845)
Epoch: [38][190/14090]	Time 0.756 (0.785)	Data 0.001 (0.025)	Loss 2.0933 (2.2050)	Prec@1 47.656 (44.507)	Prec@5 75.781 (74.865)
Epoch: [38][200/14090]	Time 0.740 (0.784)	Data 0.001 (0.024)	Loss 1.9914 (2.2029)	Prec@1 50.000 (44.500)	Prec@5 72.656 (74.911)
Epoch: [38][210/14090]	Time 0.746 (0.783)	Data 0.001 (0.023)	Loss 2.0227 (2.2046)	Prec@1 53.906 (44.520)	Prec@5 78.906 (74.885)
Epoch: [38][220/14090]	Time 0.863 (0.782)	Data 0.001 (0.022)	Loss 2.2616 (2.2049)	Prec@1 45.312 (44.503)	Prec@5 77.344 (74.919)
Epoch: [38][230/14090]	Time 0.747 (0.781)	Data 0.001 (0.021)	Loss 2.1838 (2.2037)	Prec@1 48.438 (44.535)	Prec@5 75.000 (74.926)
Epoch: [38][240/14090]	Time 0.745 (0.780)	Data 0.001 (0.020)	Loss 2.3412 (2.2032)	Prec@1 42.969 (44.525)	Prec@5 69.531 (74.900)
Epoch: [38][250/14090]	Time 0.752 (0.780)	Data 0.001 (0.020)	Loss 2.1255 (2.2008)	Prec@1 50.781 (44.525)	Prec@5 75.781 (74.978)
Epoch: [38][260/14090]	Time 0.739 (0.779)	Data 0.001 (0.019)	Loss 1.9187 (2.1979)	Prec@1 53.906 (44.699)	Prec@5 82.031 (75.039)
Epoch: [38][270/14090]	Time 0.722 (0.779)	Data 0.001 (0.018)	Loss 2.3980 (2.1972)	Prec@1 43.750 (44.681)	Prec@5 71.094 (75.055)
Epoch: [38][280/14090]	Time 0.749 (0.778)	Data 0.001 (0.018)	Loss 2.0691 (2.2000)	Prec@1 50.781 (44.634)	Prec@5 75.781 (75.036)
Epoch: [38][290/14090]	Time 0.858 (0.778)	Data 0.001 (0.017)	Loss 2.2903 (2.1992)	Prec@1 42.188 (44.692)	Prec@5 75.000 (75.024)
Epoch: [38][300/14090]	Time 0.755 (0.777)	Data 0.001 (0.016)	Loss 1.7960 (2.1981)	Prec@1 53.125 (44.723)	Prec@5 83.594 (75.039)
Epoch: [38][310/14090]	Time 0.725 (0.776)	Data 0.001 (0.016)	Loss 2.0950 (2.1999)	Prec@1 49.219 (44.682)	Prec@5 75.781 (74.940)
Epoch: [38][320/14090]	Time 0.747 (0.776)	Data 0.001 (0.015)	Loss 2.1721 (2.2025)	Prec@1 45.312 (44.646)	Prec@5 76.562 (74.934)
Epoch: [38][330/14090]	Time 0.744 (0.775)	Data 0.001 (0.015)	Loss 2.2467 (2.2029)	Prec@1 45.312 (44.666)	Prec@5 75.781 (74.958)
Epoch: [38][340/14090]	Time 0.728 (0.775)	Data 0.001 (0.015)	Loss 2.3947 (2.2035)	Prec@1 41.406 (44.630)	Prec@5 71.094 (74.963)
Epoch: [38][350/14090]	Time 0.750 (0.774)	Data 0.001 (0.014)	Loss 1.8934 (2.2005)	Prec@1 53.125 (44.716)	Prec@5 80.469 (74.998)
Epoch: [38][360/14090]	Time 0.875 (0.774)	Data 0.001 (0.014)	Loss 2.3072 (2.1977)	Prec@1 35.156 (44.741)	Prec@5 73.438 (75.056)
Epoch: [38][370/14090]	Time 0.730 (0.774)	Data 0.001 (0.013)	Loss 2.3683 (2.1983)	Prec@1 36.719 (44.706)	Prec@5 70.312 (75.055)
Epoch: [38][380/14090]	Time 0.764 (0.774)	Data 0.001 (0.013)	Loss 2.3179 (2.1967)	Prec@1 38.281 (44.724)	Prec@5 76.562 (75.092)
Epoch: [38][390/14090]	Time 0.741 (0.774)	Data 0.001 (0.013)	Loss 2.1322 (2.1949)	Prec@1 43.750 (44.733)	Prec@5 79.688 (75.150)
Epoch: [38][400/14090]	Time 0.765 (0.773)	Data 0.001 (0.013)	Loss 2.1347 (2.1959)	Prec@1 45.312 (44.662)	Prec@5 77.344 (75.142)
Epoch: [38][410/14090]	Time 0.749 (0.773)	Data 0.001 (0.012)	Loss 2.0503 (2.1963)	Prec@1 48.438 (44.643)	Prec@5 79.688 (75.144)
Epoch: [38][420/14090]	Time 0.743 (0.773)	Data 0.001 (0.012)	Loss 2.3929 (2.1985)	Prec@1 41.406 (44.600)	Prec@5 72.656 (75.108)
Epoch: [38][430/14090]	Time 0.844 (0.772)	Data 0.001 (0.012)	Loss 2.0277 (2.2011)	Prec@1 50.000 (44.598)	Prec@5 78.906 (75.058)
Epoch: [38][440/14090]	Time 0.734 (0.772)	Data 0.001 (0.011)	Loss 2.4113 (2.2012)	Prec@1 45.312 (44.588)	Prec@5 74.219 (75.080)
Epoch: [38][450/14090]	Time 0.756 (0.772)	Data 0.001 (0.011)	Loss 2.2777 (2.2021)	Prec@1 39.844 (44.568)	Prec@5 71.875 (75.088)
Epoch: [38][460/14090]	Time 0.726 (0.772)	Data 0.001 (0.011)	Loss 2.1240 (2.2008)	Prec@1 48.438 (44.602)	Prec@5 73.438 (75.083)
Epoch: [38][470/14090]	Time 0.765 (0.771)	Data 0.001 (0.011)	Loss 2.0622 (2.2017)	Prec@1 46.875 (44.579)	Prec@5 76.562 (75.083)
Epoch: [38][480/14090]	Time 0.754 (0.772)	Data 0.001 (0.011)	Loss 2.1205 (2.2015)	Prec@1 48.438 (44.593)	Prec@5 76.562 (75.097)
Epoch: [38][490/14090]	Time 0.756 (0.771)	Data 0.001 (0.010)	Loss 2.1944 (2.2018)	Prec@1 42.188 (44.619)	Prec@5 75.000 (75.088)
Epoch: [38][500/14090]	Time 0.842 (0.771)	Data 0.001 (0.010)	Loss 2.3854 (2.2024)	Prec@1 40.625 (44.601)	Prec@5 75.000 (75.059)
Epoch: [38][510/14090]	Time 0.732 (0.771)	Data 0.001 (0.010)	Loss 1.7369 (2.2017)	Prec@1 53.125 (44.611)	Prec@5 87.500 (75.090)
Epoch: [38][520/14090]	Time 0.727 (0.771)	Data 0.001 (0.010)	Loss 2.2396 (2.2015)	Prec@1 46.875 (44.659)	Prec@5 73.438 (75.117)
Epoch: [38][530/14090]	Time 0.778 (0.771)	Data 0.001 (0.010)	Loss 1.9579 (2.2009)	Prec@1 45.312 (44.624)	Prec@5 78.906 (75.121)
Epoch: [38][540/14090]	Time 0.764 (0.771)	Data 0.001 (0.009)	Loss 1.9122 (2.2011)	Prec@1 52.344 (44.622)	Prec@5 84.375 (75.130)
Epoch: [38][550/14090]	Time 0.734 (0.771)	Data 0.001 (0.009)	Loss 2.1795 (2.2000)	Prec@1 50.781 (44.631)	Prec@5 75.781 (75.166)
Epoch: [38][560/14090]	Time 0.733 (0.770)	Data 0.001 (0.009)	Loss 2.3325 (2.2007)	Prec@1 42.969 (44.602)	Prec@5 71.875 (75.148)
Epoch: [38][570/14090]	Time 0.838 (0.770)	Data 0.001 (0.009)	Loss 2.0595 (2.2011)	Prec@1 52.344 (44.616)	Prec@5 75.781 (75.130)
Epoch: [38][580/14090]	Time 0.726 (0.770)	Data 0.001 (0.009)	Loss 2.3633 (2.2013)	Prec@1 36.719 (44.604)	Prec@5 74.219 (75.155)
Epoch: [38][590/14090]	Time 0.758 (0.770)	Data 0.001 (0.009)	Loss 2.2646 (2.2002)	Prec@1 47.656 (44.616)	Prec@5 75.000 (75.188)
Epoch: [38][600/14090]	Time 0.749 (0.770)	Data 0.001 (0.009)	Loss 2.2137 (2.2005)	Prec@1 46.875 (44.575)	Prec@5 76.562 (75.208)
Epoch: [38][610/14090]	Time 0.737 (0.769)	Data 0.001 (0.008)	Loss 2.1782 (2.2001)	Prec@1 46.875 (44.594)	Prec@5 71.875 (75.201)
Epoch: [38][620/14090]	Time 0.777 (0.770)	Data 0.001 (0.008)	Loss 2.2387 (2.2003)	Prec@1 42.188 (44.593)	Prec@5 72.656 (75.205)
Epoch: [38][630/14090]	Time 0.747 (0.769)	Data 0.001 (0.008)	Loss 2.1459 (2.1989)	Prec@1 47.656 (44.627)	Prec@5 74.219 (75.234)
Epoch: [38][640/14090]	Time 0.861 (0.769)	Data 0.001 (0.008)	Loss 2.4601 (2.1989)	Prec@1 39.062 (44.662)	Prec@5 71.094 (75.235)
Epoch: [38][650/14090]	Time 0.760 (0.769)	Data 0.001 (0.008)	Loss 2.4195 (2.1996)	Prec@1 40.625 (44.645)	Prec@5 70.312 (75.215)
Epoch: [38][660/14090]	Time 0.738 (0.769)	Data 0.001 (0.008)	Loss 2.4295 (2.1992)	Prec@1 40.625 (44.657)	Prec@5 72.656 (75.241)
Epoch: [38][670/14090]	Time 0.769 (0.769)	Data 0.001 (0.008)	Loss 2.3827 (2.1995)	Prec@1 43.750 (44.628)	Prec@5 71.094 (75.249)
Epoch: [38][680/14090]	Time 0.748 (0.769)	Data 0.001 (0.008)	Loss 2.1981 (2.1992)	Prec@1 48.438 (44.657)	Prec@5 75.000 (75.255)
Epoch: [38][690/14090]	Time 0.754 (0.769)	Data 0.001 (0.008)	Loss 2.6042 (2.1990)	Prec@1 34.375 (44.679)	Prec@5 69.531 (75.251)
Epoch: [38][700/14090]	Time 0.748 (0.769)	Data 0.001 (0.007)	Loss 2.2397 (2.1999)	Prec@1 47.656 (44.669)	Prec@5 70.312 (75.236)
Epoch: [38][710/14090]	Time 0.861 (0.769)	Data 0.001 (0.007)	Loss 2.0267 (2.1997)	Prec@1 50.000 (44.675)	Prec@5 77.344 (75.253)
Epoch: [38][720/14090]	Time 0.725 (0.769)	Data 0.001 (0.007)	Loss 2.4041 (2.2000)	Prec@1 40.625 (44.656)	Prec@5 74.219 (75.259)
Epoch: [38][730/14090]	Time 0.750 (0.768)	Data 0.001 (0.007)	Loss 2.2609 (2.1995)	Prec@1 46.875 (44.676)	Prec@5 74.219 (75.267)
Epoch: [38][740/14090]	Time 0.733 (0.769)	Data 0.001 (0.007)	Loss 2.4044 (2.1989)	Prec@1 40.625 (44.698)	Prec@5 75.000 (75.265)
Epoch: [38][750/14090]	Time 0.757 (0.768)	Data 0.001 (0.007)	Loss 2.5447 (2.2003)	Prec@1 36.719 (44.681)	Prec@5 71.875 (75.227)
Epoch: [38][760/14090]	Time 0.764 (0.768)	Data 0.001 (0.007)	Loss 2.0966 (2.2005)	Prec@1 50.000 (44.699)	Prec@5 79.688 (75.231)
Epoch: [38][770/14090]	Time 0.760 (0.768)	Data 0.001 (0.007)	Loss 2.5027 (2.2014)	Prec@1 39.844 (44.686)	Prec@5 65.625 (75.203)
Epoch: [38][780/14090]	Time 0.888 (0.768)	Data 0.001 (0.007)	Loss 2.1011 (2.2015)	Prec@1 42.188 (44.668)	Prec@5 75.000 (75.186)
Epoch: [38][790/14090]	Time 0.759 (0.768)	Data 0.001 (0.007)	Loss 2.0335 (2.2009)	Prec@1 45.312 (44.676)	Prec@5 78.906 (75.212)
Epoch: [38][800/14090]	Time 0.755 (0.768)	Data 0.001 (0.007)	Loss 2.5636 (2.2027)	Prec@1 40.625 (44.649)	Prec@5 68.750 (75.167)
Epoch: [38][810/14090]	Time 0.751 (0.768)	Data 0.001 (0.007)	Loss 2.2482 (2.2028)	Prec@1 48.438 (44.643)	Prec@5 75.781 (75.178)
Epoch: [38][820/14090]	Time 0.731 (0.768)	Data 0.001 (0.006)	Loss 2.2058 (2.2031)	Prec@1 39.844 (44.649)	Prec@5 71.875 (75.162)
Epoch: [38][830/14090]	Time 0.757 (0.768)	Data 0.001 (0.006)	Loss 2.0768 (2.2029)	Prec@1 50.781 (44.651)	Prec@5 73.438 (75.165)
Epoch: [38][840/14090]	Time 0.777 (0.768)	Data 0.001 (0.006)	Loss 2.0069 (2.2033)	Prec@1 48.438 (44.645)	Prec@5 80.469 (75.154)
Epoch: [38][850/14090]	Time 0.846 (0.768)	Data 0.001 (0.006)	Loss 2.3227 (2.2030)	Prec@1 45.312 (44.644)	Prec@5 67.188 (75.143)
Epoch: [38][860/14090]	Time 0.743 (0.768)	Data 0.001 (0.006)	Loss 2.0985 (2.2028)	Prec@1 44.531 (44.656)	Prec@5 76.562 (75.156)
Epoch: [38][870/14090]	Time 0.722 (0.768)	Data 0.001 (0.006)	Loss 2.2651 (2.2039)	Prec@1 39.844 (44.629)	Prec@5 75.000 (75.148)
Epoch: [38][880/14090]	Time 0.741 (0.768)	Data 0.001 (0.006)	Loss 1.9806 (2.2039)	Prec@1 47.656 (44.625)	Prec@5 79.688 (75.148)
Epoch: [38][890/14090]	Time 0.763 (0.768)	Data 0.001 (0.006)	Loss 1.7961 (2.2025)	Prec@1 52.344 (44.651)	Prec@5 81.250 (75.167)
Epoch: [38][900/14090]	Time 0.762 (0.767)	Data 0.001 (0.006)	Loss 2.1575 (2.2024)	Prec@1 44.531 (44.654)	Prec@5 77.344 (75.170)
Epoch: [38][910/14090]	Time 0.747 (0.767)	Data 0.001 (0.006)	Loss 2.1857 (2.2025)	Prec@1 42.188 (44.647)	Prec@5 74.219 (75.177)
Epoch: [38][920/14090]	Time 0.848 (0.767)	Data 0.001 (0.006)	Loss 2.1695 (2.2017)	Prec@1 44.531 (44.664)	Prec@5 78.906 (75.181)
Epoch: [38][930/14090]	Time 0.736 (0.767)	Data 0.001 (0.006)	Loss 2.1458 (2.2020)	Prec@1 49.219 (44.661)	Prec@5 76.562 (75.170)
Epoch: [38][940/14090]	Time 0.754 (0.767)	Data 0.001 (0.006)	Loss 2.2717 (2.2015)	Prec@1 42.969 (44.677)	Prec@5 74.219 (75.175)
Epoch: [38][950/14090]	Time 0.726 (0.767)	Data 0.001 (0.006)	Loss 2.4776 (2.2013)	Prec@1 39.062 (44.682)	Prec@5 71.875 (75.186)
Epoch: [38][960/14090]	Time 0.767 (0.767)	Data 0.001 (0.006)	Loss 2.4196 (2.2010)	Prec@1 41.406 (44.698)	Prec@5 69.531 (75.180)
Epoch: [38][970/14090]	Time 0.740 (0.767)	Data 0.001 (0.006)	Loss 2.3150 (2.2007)	Prec@1 39.844 (44.689)	Prec@5 73.438 (75.178)
Epoch: [38][980/14090]	Time 0.742 (0.767)	Data 0.001 (0.006)	Loss 2.3280 (2.2007)	Prec@1 37.500 (44.674)	Prec@5 71.094 (75.178)
Epoch: [38][990/14090]	Time 0.874 (0.767)	Data 0.001 (0.006)	Loss 2.1776 (2.2008)	Prec@1 47.656 (44.661)	Prec@5 72.656 (75.179)
Epoch: [38][1000/14090]	Time 0.728 (0.767)	Data 0.001 (0.005)	Loss 2.1301 (2.2014)	Prec@1 50.000 (44.652)	Prec@5 75.781 (75.176)
Epoch: [38][1010/14090]	Time 0.746 (0.767)	Data 0.001 (0.005)	Loss 2.1857 (2.2014)	Prec@1 44.531 (44.649)	Prec@5 74.219 (75.181)
Epoch: [38][1020/14090]	Time 0.755 (0.767)	Data 0.001 (0.005)	Loss 2.4376 (2.2025)	Prec@1 39.062 (44.609)	Prec@5 71.094 (75.173)
Epoch: [38][1030/14090]	Time 0.751 (0.767)	Data 0.001 (0.005)	Loss 2.3450 (2.2029)	Prec@1 48.438 (44.618)	Prec@5 71.875 (75.167)
Epoch: [38][1040/14090]	Time 0.736 (0.767)	Data 0.001 (0.005)	Loss 2.0967 (2.2024)	Prec@1 41.406 (44.631)	Prec@5 77.344 (75.180)
Epoch: [38][1050/14090]	Time 0.741 (0.767)	Data 0.001 (0.005)	Loss 2.1639 (2.2028)	Prec@1 42.188 (44.627)	Prec@5 79.688 (75.167)
Epoch: [38][1060/14090]	Time 0.878 (0.767)	Data 0.001 (0.005)	Loss 2.3708 (2.2026)	Prec@1 39.062 (44.632)	Prec@5 70.312 (75.169)
Epoch: [38][1070/14090]	Time 0.739 (0.767)	Data 0.001 (0.005)	Loss 2.4185 (2.2026)	Prec@1 35.938 (44.639)	Prec@5 70.312 (75.164)
Epoch: [38][1080/14090]	Time 0.727 (0.766)	Data 0.001 (0.005)	Loss 2.0210 (2.2029)	Prec@1 50.000 (44.639)	Prec@5 77.344 (75.152)
Epoch: [38][1090/14090]	Time 0.767 (0.767)	Data 0.001 (0.005)	Loss 2.2731 (2.2019)	Prec@1 39.844 (44.662)	Prec@5 75.781 (75.175)
Epoch: [38][1100/14090]	Time 0.752 (0.766)	Data 0.001 (0.005)	Loss 2.4099 (2.2018)	Prec@1 38.281 (44.665)	Prec@5 68.750 (75.173)
Epoch: [38][1110/14090]	Time 0.750 (0.766)	Data 0.001 (0.005)	Loss 2.1601 (2.2019)	Prec@1 42.969 (44.670)	Prec@5 75.781 (75.169)
Epoch: [38][1120/14090]	Time 0.747 (0.766)	Data 0.001 (0.005)	Loss 2.0817 (2.2016)	Prec@1 47.656 (44.684)	Prec@5 81.250 (75.183)
Epoch: [38][1130/14090]	Time 0.869 (0.766)	Data 0.001 (0.005)	Loss 2.4582 (2.2015)	Prec@1 41.406 (44.686)	Prec@5 71.875 (75.185)
Epoch: [38][1140/14090]	Time 0.753 (0.766)	Data 0.001 (0.005)	Loss 2.4390 (2.2019)	Prec@1 42.188 (44.681)	Prec@5 72.656 (75.181)
Epoch: [38][1150/14090]	Time 0.742 (0.766)	Data 0.001 (0.005)	Loss 2.5217 (2.2020)	Prec@1 39.062 (44.674)	Prec@5 70.312 (75.189)
Epoch: [38][1160/14090]	Time 0.732 (0.766)	Data 0.001 (0.005)	Loss 2.5161 (2.2028)	Prec@1 42.188 (44.660)	Prec@5 67.969 (75.189)
Epoch: [38][1170/14090]	Time 0.763 (0.766)	Data 0.001 (0.005)	Loss 2.1785 (2.2031)	Prec@1 44.531 (44.639)	Prec@5 75.781 (75.188)
Epoch: [38][1180/14090]	Time 0.759 (0.766)	Data 0.001 (0.005)	Loss 2.0661 (2.2033)	Prec@1 47.656 (44.639)	Prec@5 78.906 (75.185)
Epoch: [38][1190/14090]	Time 0.736 (0.766)	Data 0.001 (0.005)	Loss 2.3422 (2.2032)	Prec@1 40.625 (44.635)	Prec@5 72.656 (75.194)
Epoch: [38][1200/14090]	Time 0.860 (0.766)	Data 0.001 (0.005)	Loss 2.0046 (2.2030)	Prec@1 45.312 (44.637)	Prec@5 82.812 (75.198)
Epoch: [38][1210/14090]	Time 0.736 (0.766)	Data 0.001 (0.005)	Loss 2.6157 (2.2038)	Prec@1 32.031 (44.604)	Prec@5 67.969 (75.189)
Epoch: [38][1220/14090]	Time 0.741 (0.766)	Data 0.001 (0.005)	Loss 2.2852 (2.2031)	Prec@1 41.406 (44.620)	Prec@5 72.656 (75.196)
Epoch: [38][1230/14090]	Time 0.744 (0.766)	Data 0.001 (0.005)	Loss 2.3096 (2.2035)	Prec@1 39.844 (44.602)	Prec@5 74.219 (75.185)
Epoch: [38][1240/14090]	Time 0.764 (0.766)	Data 0.001 (0.005)	Loss 2.0791 (2.2030)	Prec@1 45.312 (44.612)	Prec@5 78.906 (75.193)
Epoch: [38][1250/14090]	Time 0.757 (0.766)	Data 0.001 (0.005)	Loss 2.4082 (2.2029)	Prec@1 48.438 (44.621)	Prec@5 67.969 (75.185)
Epoch: [38][1260/14090]	Time 0.748 (0.766)	Data 0.001 (0.004)	Loss 2.3239 (2.2033)	Prec@1 42.188 (44.609)	Prec@5 72.656 (75.183)
Epoch: [38][1270/14090]	Time 0.863 (0.766)	Data 0.001 (0.004)	Loss 2.3154 (2.2043)	Prec@1 42.188 (44.593)	Prec@5 74.219 (75.155)
Epoch: [38][1280/14090]	Time 0.743 (0.766)	Data 0.001 (0.004)	Loss 2.1329 (2.2045)	Prec@1 45.312 (44.586)	Prec@5 79.688 (75.157)
Epoch: [38][1290/14090]	Time 0.725 (0.766)	Data 0.001 (0.004)	Loss 2.2739 (2.2045)	Prec@1 44.531 (44.583)	Prec@5 75.781 (75.156)
Epoch: [38][1300/14090]	Time 0.733 (0.766)	Data 0.001 (0.004)	Loss 1.9583 (2.2051)	Prec@1 51.562 (44.585)	Prec@5 73.438 (75.144)
Epoch: [38][1310/14090]	Time 0.737 (0.766)	Data 0.001 (0.004)	Loss 2.3298 (2.2051)	Prec@1 42.969 (44.578)	Prec@5 71.875 (75.152)
Epoch: [38][1320/14090]	Time 0.754 (0.766)	Data 0.001 (0.004)	Loss 2.5727 (2.2047)	Prec@1 38.281 (44.586)	Prec@5 71.875 (75.164)
Epoch: [38][1330/14090]	Time 0.738 (0.766)	Data 0.001 (0.004)	Loss 1.9071 (2.2043)	Prec@1 50.000 (44.587)	Prec@5 78.906 (75.174)
Epoch: [38][1340/14090]	Time 0.822 (0.766)	Data 0.001 (0.004)	Loss 2.4934 (2.2042)	Prec@1 41.406 (44.588)	Prec@5 66.406 (75.176)
Epoch: [38][1350/14090]	Time 0.749 (0.766)	Data 0.001 (0.004)	Loss 2.3553 (2.2039)	Prec@1 44.531 (44.594)	Prec@5 74.219 (75.189)
Epoch: [38][1360/14090]	Time 0.721 (0.766)	Data 0.001 (0.004)	Loss 2.1214 (2.2039)	Prec@1 50.000 (44.593)	Prec@5 76.562 (75.189)
Epoch: [38][1370/14090]	Time 0.773 (0.766)	Data 0.001 (0.004)	Loss 2.4388 (2.2038)	Prec@1 38.281 (44.595)	Prec@5 71.094 (75.181)
Epoch: [38][1380/14090]	Time 0.751 (0.766)	Data 0.001 (0.004)	Loss 2.4562 (2.2043)	Prec@1 39.062 (44.593)	Prec@5 69.531 (75.176)
Epoch: [38][1390/14090]	Time 0.760 (0.766)	Data 0.001 (0.004)	Loss 2.2188 (2.2045)	Prec@1 50.000 (44.588)	Prec@5 71.875 (75.173)
Epoch: [38][1400/14090]	Time 0.751 (0.766)	Data 0.001 (0.004)	Loss 2.0856 (2.2043)	Prec@1 44.531 (44.589)	Prec@5 75.000 (75.171)
Epoch: [38][1410/14090]	Time 0.865 (0.766)	Data 0.001 (0.004)	Loss 2.2063 (2.2041)	Prec@1 45.312 (44.588)	Prec@5 74.219 (75.173)
Epoch: [38][1420/14090]	Time 0.734 (0.766)	Data 0.001 (0.004)	Loss 2.0323 (2.2039)	Prec@1 48.438 (44.601)	Prec@5 82.031 (75.186)
Epoch: [38][1430/14090]	Time 0.728 (0.765)	Data 0.001 (0.004)	Loss 2.0288 (2.2037)	Prec@1 50.781 (44.604)	Prec@5 76.562 (75.193)
Epoch: [38][1440/14090]	Time 0.753 (0.766)	Data 0.001 (0.004)	Loss 2.0777 (2.2037)	Prec@1 50.781 (44.602)	Prec@5 78.125 (75.199)
Epoch: [38][1450/14090]	Time 0.754 (0.765)	Data 0.001 (0.004)	Loss 2.4235 (2.2037)	Prec@1 36.719 (44.594)	Prec@5 70.312 (75.208)
Epoch: [38][1460/14090]	Time 0.749 (0.765)	Data 0.001 (0.004)	Loss 1.9592 (2.2037)	Prec@1 46.094 (44.577)	Prec@5 82.812 (75.210)
Epoch: [38][1470/14090]	Time 0.750 (0.765)	Data 0.001 (0.004)	Loss 1.9385 (2.2034)	Prec@1 52.344 (44.573)	Prec@5 79.688 (75.213)
Epoch: [38][1480/14090]	Time 0.856 (0.765)	Data 0.001 (0.004)	Loss 2.1922 (2.2037)	Prec@1 42.188 (44.568)	Prec@5 78.125 (75.218)
Epoch: [38][1490/14090]	Time 0.737 (0.765)	Data 0.001 (0.004)	Loss 2.1808 (2.2035)	Prec@1 46.094 (44.584)	Prec@5 78.906 (75.214)
Epoch: [38][1500/14090]	Time 0.756 (0.765)	Data 0.001 (0.004)	Loss 2.1942 (2.2038)	Prec@1 38.281 (44.582)	Prec@5 75.781 (75.206)
Epoch: [38][1510/14090]	Time 0.742 (0.765)	Data 0.001 (0.004)	Loss 2.1032 (2.2042)	Prec@1 43.750 (44.572)	Prec@5 76.562 (75.194)
Epoch: [38][1520/14090]	Time 0.747 (0.765)	Data 0.001 (0.004)	Loss 2.1989 (2.2044)	Prec@1 42.188 (44.577)	Prec@5 79.688 (75.189)
Epoch: [38][1530/14090]	Time 0.751 (0.765)	Data 0.001 (0.004)	Loss 1.9835 (2.2040)	Prec@1 55.469 (44.584)	Prec@5 78.906 (75.196)
Epoch: [38][1540/14090]	Time 0.740 (0.765)	Data 0.001 (0.004)	Loss 1.9911 (2.2040)	Prec@1 50.000 (44.578)	Prec@5 80.469 (75.193)
Epoch: [38][1550/14090]	Time 0.877 (0.765)	Data 0.001 (0.004)	Loss 2.2024 (2.2038)	Prec@1 49.219 (44.579)	Prec@5 75.781 (75.188)
Epoch: [38][1560/14090]	Time 0.741 (0.765)	Data 0.001 (0.004)	Loss 2.5202 (2.2038)	Prec@1 40.625 (44.571)	Prec@5 72.656 (75.193)
Epoch: [38][1570/14090]	Time 0.734 (0.765)	Data 0.001 (0.004)	Loss 2.0667 (2.2033)	Prec@1 52.344 (44.579)	Prec@5 75.781 (75.209)
Epoch: [38][1580/14090]	Time 0.746 (0.765)	Data 0.001 (0.004)	Loss 2.5041 (2.2041)	Prec@1 40.625 (44.566)	Prec@5 75.000 (75.198)
Epoch: [38][1590/14090]	Time 0.748 (0.765)	Data 0.001 (0.004)	Loss 2.5606 (2.2042)	Prec@1 41.406 (44.569)	Prec@5 67.188 (75.190)
Epoch: [38][1600/14090]	Time 0.739 (0.765)	Data 0.001 (0.004)	Loss 1.7863 (2.2035)	Prec@1 51.562 (44.573)	Prec@5 80.469 (75.203)
Epoch: [38][1610/14090]	Time 0.751 (0.765)	Data 0.001 (0.004)	Loss 2.1846 (2.2038)	Prec@1 48.438 (44.560)	Prec@5 78.125 (75.202)
Epoch: [38][1620/14090]	Time 0.822 (0.765)	Data 0.001 (0.004)	Loss 2.1692 (2.2038)	Prec@1 44.531 (44.561)	Prec@5 75.000 (75.199)
Epoch: [38][1630/14090]	Time 0.726 (0.765)	Data 0.001 (0.004)	Loss 2.4869 (2.2043)	Prec@1 42.969 (44.566)	Prec@5 65.625 (75.185)
Epoch: [38][1640/14090]	Time 0.734 (0.765)	Data 0.001 (0.004)	Loss 2.0252 (2.2041)	Prec@1 50.000 (44.565)	Prec@5 80.469 (75.185)
Epoch: [38][1650/14090]	Time 0.749 (0.765)	Data 0.001 (0.004)	Loss 2.1896 (2.2042)	Prec@1 45.312 (44.557)	Prec@5 75.781 (75.182)
Epoch: [38][1660/14090]	Time 0.739 (0.765)	Data 0.001 (0.004)	Loss 2.0566 (2.2041)	Prec@1 49.219 (44.560)	Prec@5 75.781 (75.182)
Epoch: [38][1670/14090]	Time 0.766 (0.765)	Data 0.001 (0.004)	Loss 2.3868 (2.2035)	Prec@1 43.750 (44.571)	Prec@5 73.438 (75.198)
Epoch: [38][1680/14090]	Time 0.736 (0.765)	Data 0.001 (0.004)	Loss 1.9353 (2.2034)	Prec@1 49.219 (44.574)	Prec@5 82.031 (75.198)
Epoch: [38][1690/14090]	Time 0.866 (0.765)	Data 0.001 (0.004)	Loss 2.1187 (2.2041)	Prec@1 41.406 (44.559)	Prec@5 79.688 (75.176)
Epoch: [38][1700/14090]	Time 0.732 (0.765)	Data 0.001 (0.004)	Loss 2.4491 (2.2038)	Prec@1 40.625 (44.564)	Prec@5 71.094 (75.186)
Epoch: [38][1710/14090]	Time 0.744 (0.765)	Data 0.001 (0.003)	Loss 2.4542 (2.2038)	Prec@1 40.625 (44.561)	Prec@5 74.219 (75.188)
Epoch: [38][1720/14090]	Time 0.727 (0.765)	Data 0.001 (0.003)	Loss 2.2921 (2.2040)	Prec@1 39.062 (44.552)	Prec@5 70.312 (75.187)
Epoch: [38][1730/14090]	Time 0.725 (0.765)	Data 0.001 (0.003)	Loss 2.0752 (2.2038)	Prec@1 48.438 (44.564)	Prec@5 81.250 (75.200)
Epoch: [38][1740/14090]	Time 0.767 (0.765)	Data 0.001 (0.003)	Loss 2.1223 (2.2039)	Prec@1 45.312 (44.558)	Prec@5 73.438 (75.195)
Epoch: [38][1750/14090]	Time 0.761 (0.765)	Data 0.001 (0.003)	Loss 2.1157 (2.2037)	Prec@1 46.875 (44.566)	Prec@5 76.562 (75.197)
Epoch: [38][1760/14090]	Time 0.864 (0.765)	Data 0.001 (0.003)	Loss 2.2973 (2.2038)	Prec@1 43.750 (44.560)	Prec@5 75.000 (75.192)
Epoch: [38][1770/14090]	Time 0.745 (0.765)	Data 0.001 (0.003)	Loss 1.9925 (2.2044)	Prec@1 53.125 (44.556)	Prec@5 78.125 (75.180)
Epoch: [38][1780/14090]	Time 0.741 (0.765)	Data 0.001 (0.003)	Loss 2.4306 (2.2043)	Prec@1 38.281 (44.557)	Prec@5 67.969 (75.175)
Epoch: [38][1790/14090]	Time 0.736 (0.765)	Data 0.001 (0.003)	Loss 2.3208 (2.2044)	Prec@1 43.750 (44.557)	Prec@5 75.781 (75.173)
Epoch: [38][1800/14090]	Time 0.758 (0.765)	Data 0.001 (0.003)	Loss 1.7088 (2.2041)	Prec@1 54.688 (44.569)	Prec@5 87.500 (75.177)
Epoch: [38][1810/14090]	Time 0.757 (0.765)	Data 0.001 (0.003)	Loss 2.3016 (2.2041)	Prec@1 39.062 (44.564)	Prec@5 78.125 (75.180)
Epoch: [38][1820/14090]	Time 0.747 (0.765)	Data 0.001 (0.003)	Loss 2.1533 (2.2045)	Prec@1 50.000 (44.559)	Prec@5 75.000 (75.174)
Epoch: [38][1830/14090]	Time 0.867 (0.765)	Data 0.001 (0.003)	Loss 2.0034 (2.2043)	Prec@1 46.094 (44.560)	Prec@5 82.031 (75.181)
Epoch: [38][1840/14090]	Time 0.733 (0.765)	Data 0.001 (0.003)	Loss 2.4538 (2.2050)	Prec@1 38.281 (44.547)	Prec@5 61.719 (75.162)
Epoch: [38][1850/14090]	Time 0.734 (0.765)	Data 0.001 (0.003)	Loss 1.9612 (2.2044)	Prec@1 55.469 (44.560)	Prec@5 75.000 (75.172)
Epoch: [38][1860/14090]	Time 0.764 (0.765)	Data 0.001 (0.003)	Loss 2.1163 (2.2044)	Prec@1 45.312 (44.559)	Prec@5 74.219 (75.168)
Epoch: [38][1870/14090]	Time 0.736 (0.765)	Data 0.001 (0.003)	Loss 2.3804 (2.2047)	Prec@1 39.844 (44.549)	Prec@5 75.000 (75.162)
Epoch: [38][1880/14090]	Time 0.731 (0.765)	Data 0.001 (0.003)	Loss 2.2035 (2.2047)	Prec@1 45.312 (44.551)	Prec@5 76.562 (75.159)
Epoch: [38][1890/14090]	Time 0.759 (0.765)	Data 0.001 (0.003)	Loss 2.4883 (2.2046)	Prec@1 38.281 (44.557)	Prec@5 72.656 (75.160)
Epoch: [38][1900/14090]	Time 0.856 (0.765)	Data 0.001 (0.003)	Loss 2.2669 (2.2049)	Prec@1 42.188 (44.548)	Prec@5 72.656 (75.160)
Epoch: [38][1910/14090]	Time 0.740 (0.765)	Data 0.001 (0.003)	Loss 2.3030 (2.2053)	Prec@1 42.969 (44.541)	Prec@5 75.000 (75.154)
Epoch: [38][1920/14090]	Time 0.752 (0.765)	Data 0.001 (0.003)	Loss 2.4498 (2.2055)	Prec@1 35.938 (44.541)	Prec@5 77.344 (75.148)
Epoch: [38][1930/14090]	Time 0.753 (0.765)	Data 0.001 (0.003)	Loss 2.2731 (2.2055)	Prec@1 42.969 (44.541)	Prec@5 73.438 (75.147)
Epoch: [38][1940/14090]	Time 0.751 (0.765)	Data 0.001 (0.003)	Loss 2.2073 (2.2059)	Prec@1 46.875 (44.543)	Prec@5 76.562 (75.136)
Epoch: [38][1950/14090]	Time 0.729 (0.765)	Data 0.001 (0.003)	Loss 2.4246 (2.2060)	Prec@1 42.188 (44.539)	Prec@5 71.094 (75.133)
Epoch: [38][1960/14090]	Time 0.755 (0.765)	Data 0.001 (0.003)	Loss 2.0540 (2.2060)	Prec@1 46.094 (44.545)	Prec@5 78.125 (75.133)
Epoch: [38][1970/14090]	Time 0.830 (0.765)	Data 0.001 (0.003)	Loss 2.2129 (2.2057)	Prec@1 39.062 (44.551)	Prec@5 77.344 (75.147)
Epoch: [38][1980/14090]	Time 0.761 (0.765)	Data 0.001 (0.003)	Loss 2.3974 (2.2064)	Prec@1 42.969 (44.534)	Prec@5 71.094 (75.137)
Epoch: [38][1990/14090]	Time 0.751 (0.765)	Data 0.001 (0.003)	Loss 2.0327 (2.2065)	Prec@1 51.562 (44.530)	Prec@5 78.906 (75.134)
Epoch: [38][2000/14090]	Time 0.730 (0.765)	Data 0.001 (0.003)	Loss 2.3614 (2.2069)	Prec@1 42.969 (44.533)	Prec@5 71.875 (75.125)
Epoch: [38][2010/14090]	Time 0.736 (0.765)	Data 0.001 (0.003)	Loss 2.2127 (2.2075)	Prec@1 50.000 (44.523)	Prec@5 72.656 (75.115)
Epoch: [38][2020/14090]	Time 0.735 (0.765)	Data 0.001 (0.003)	Loss 2.5193 (2.2078)	Prec@1 39.844 (44.518)	Prec@5 72.656 (75.109)
Epoch: [38][2030/14090]	Time 0.755 (0.765)	Data 0.001 (0.003)	Loss 2.0954 (2.2076)	Prec@1 42.188 (44.510)	Prec@5 78.125 (75.103)
Epoch: [38][2040/14090]	Time 0.850 (0.765)	Data 0.001 (0.003)	Loss 2.3927 (2.2072)	Prec@1 37.500 (44.512)	Prec@5 69.531 (75.113)
Epoch: [38][2050/14090]	Time 0.734 (0.765)	Data 0.001 (0.003)	Loss 2.0668 (2.2069)	Prec@1 50.000 (44.527)	Prec@5 75.781 (75.122)
Epoch: [38][2060/14090]	Time 0.737 (0.765)	Data 0.001 (0.003)	Loss 2.1326 (2.2067)	Prec@1 46.094 (44.532)	Prec@5 76.562 (75.124)
Epoch: [38][2070/14090]	Time 0.761 (0.765)	Data 0.001 (0.003)	Loss 2.1772 (2.2067)	Prec@1 46.094 (44.532)	Prec@5 78.125 (75.121)
Epoch: [38][2080/14090]	Time 0.749 (0.765)	Data 0.001 (0.003)	Loss 2.0257 (2.2065)	Prec@1 53.906 (44.539)	Prec@5 78.906 (75.126)
Epoch: [38][2090/14090]	Time 0.731 (0.765)	Data 0.001 (0.003)	Loss 2.1841 (2.2065)	Prec@1 47.656 (44.539)	Prec@5 76.562 (75.118)
Epoch: [38][2100/14090]	Time 0.784 (0.765)	Data 0.001 (0.003)	Loss 2.1293 (2.2067)	Prec@1 46.094 (44.536)	Prec@5 76.562 (75.116)
Epoch: [38][2110/14090]	Time 0.885 (0.765)	Data 0.001 (0.003)	Loss 2.0505 (2.2063)	Prec@1 44.531 (44.545)	Prec@5 75.000 (75.124)
Epoch: [38][2120/14090]	Time 0.756 (0.765)	Data 0.001 (0.003)	Loss 2.0901 (2.2065)	Prec@1 46.875 (44.534)	Prec@5 78.906 (75.123)
Epoch: [38][2130/14090]	Time 0.721 (0.765)	Data 0.001 (0.003)	Loss 2.6899 (2.2068)	Prec@1 34.375 (44.524)	Prec@5 66.406 (75.120)
Epoch: [38][2140/14090]	Time 0.759 (0.765)	Data 0.001 (0.003)	Loss 2.1629 (2.2073)	Prec@1 42.969 (44.508)	Prec@5 74.219 (75.106)
Epoch: [38][2150/14090]	Time 0.739 (0.765)	Data 0.001 (0.003)	Loss 2.1627 (2.2074)	Prec@1 42.188 (44.508)	Prec@5 75.000 (75.103)
Epoch: [38][2160/14090]	Time 0.756 (0.765)	Data 0.001 (0.003)	Loss 1.9085 (2.2074)	Prec@1 50.000 (44.501)	Prec@5 78.906 (75.099)
Epoch: [38][2170/14090]	Time 0.754 (0.765)	Data 0.001 (0.003)	Loss 2.6374 (2.2072)	Prec@1 39.062 (44.505)	Prec@5 64.062 (75.101)
Epoch: [38][2180/14090]	Time 0.819 (0.765)	Data 0.001 (0.003)	Loss 1.8707 (2.2072)	Prec@1 55.469 (44.502)	Prec@5 79.688 (75.099)
Epoch: [38][2190/14090]	Time 0.743 (0.765)	Data 0.001 (0.003)	Loss 2.0774 (2.2069)	Prec@1 45.312 (44.509)	Prec@5 77.344 (75.106)
Epoch: [38][2200/14090]	Time 0.731 (0.765)	Data 0.001 (0.003)	Loss 2.1223 (2.2069)	Prec@1 47.656 (44.510)	Prec@5 78.906 (75.108)
Epoch: [38][2210/14090]	Time 0.757 (0.765)	Data 0.001 (0.003)	Loss 2.1235 (2.2070)	Prec@1 46.094 (44.505)	Prec@5 77.344 (75.107)
Epoch: [38][2220/14090]	Time 0.743 (0.765)	Data 0.001 (0.003)	Loss 2.1876 (2.2072)	Prec@1 45.312 (44.501)	Prec@5 75.000 (75.105)
Epoch: [38][2230/14090]	Time 0.766 (0.765)	Data 0.001 (0.003)	Loss 2.0630 (2.2073)	Prec@1 47.656 (44.499)	Prec@5 76.562 (75.101)
Epoch: [38][2240/14090]	Time 0.763 (0.765)	Data 0.001 (0.003)	Loss 2.1997 (2.2073)	Prec@1 39.062 (44.495)	Prec@5 74.219 (75.103)
Epoch: [38][2250/14090]	Time 0.838 (0.764)	Data 0.001 (0.003)	Loss 2.1571 (2.2073)	Prec@1 47.656 (44.491)	Prec@5 73.438 (75.102)
Epoch: [38][2260/14090]	Time 0.756 (0.765)	Data 0.001 (0.003)	Loss 2.3661 (2.2073)	Prec@1 48.438 (44.487)	Prec@5 75.781 (75.103)
Epoch: [38][2270/14090]	Time 0.753 (0.764)	Data 0.001 (0.003)	Loss 1.9623 (2.2078)	Prec@1 50.000 (44.474)	Prec@5 79.688 (75.090)
Epoch: [38][2280/14090]	Time 0.734 (0.765)	Data 0.001 (0.003)	Loss 2.3649 (2.2080)	Prec@1 44.531 (44.475)	Prec@5 69.531 (75.088)
Epoch: [38][2290/14090]	Time 0.764 (0.765)	Data 0.001 (0.003)	Loss 2.3149 (2.2084)	Prec@1 39.844 (44.471)	Prec@5 74.219 (75.082)
Epoch: [38][2300/14090]	Time 0.764 (0.765)	Data 0.001 (0.003)	Loss 2.4389 (2.2089)	Prec@1 41.406 (44.467)	Prec@5 72.656 (75.076)
Epoch: [38][2310/14090]	Time 0.745 (0.765)	Data 0.001 (0.003)	Loss 2.2383 (2.2093)	Prec@1 47.656 (44.451)	Prec@5 74.219 (75.070)
Epoch: [38][2320/14090]	Time 0.868 (0.765)	Data 0.001 (0.003)	Loss 2.3195 (2.2093)	Prec@1 39.844 (44.451)	Prec@5 74.219 (75.065)
Epoch: [38][2330/14090]	Time 0.768 (0.764)	Data 0.001 (0.003)	Loss 2.2272 (2.2093)	Prec@1 49.219 (44.451)	Prec@5 78.125 (75.063)
Epoch: [38][2340/14090]	Time 0.764 (0.764)	Data 0.001 (0.003)	Loss 2.2793 (2.2091)	Prec@1 39.062 (44.447)	Prec@5 71.875 (75.065)
Epoch: [38][2350/14090]	Time 0.734 (0.765)	Data 0.001 (0.003)	Loss 2.1491 (2.2089)	Prec@1 42.969 (44.449)	Prec@5 75.781 (75.070)
Epoch: [38][2360/14090]	Time 0.761 (0.764)	Data 0.001 (0.003)	Loss 2.2105 (2.2091)	Prec@1 40.625 (44.441)	Prec@5 77.344 (75.067)
Epoch: [38][2370/14090]	Time 0.746 (0.765)	Data 0.001 (0.003)	Loss 1.9149 (2.2095)	Prec@1 53.125 (44.434)	Prec@5 79.688 (75.059)
Epoch: [38][2380/14090]	Time 0.796 (0.765)	Data 0.001 (0.003)	Loss 2.3816 (2.2091)	Prec@1 43.750 (44.441)	Prec@5 69.531 (75.062)
Epoch: [38][2390/14090]	Time 0.880 (0.765)	Data 0.001 (0.003)	Loss 2.2410 (2.2091)	Prec@1 44.531 (44.444)	Prec@5 74.219 (75.059)
Epoch: [38][2400/14090]	Time 0.755 (0.765)	Data 0.001 (0.003)	Loss 2.1784 (2.2093)	Prec@1 39.062 (44.441)	Prec@5 75.000 (75.055)
Epoch: [38][2410/14090]	Time 0.760 (0.765)	Data 0.001 (0.003)	Loss 2.2334 (2.2092)	Prec@1 46.094 (44.438)	Prec@5 73.438 (75.054)
Epoch: [38][2420/14090]	Time 0.738 (0.765)	Data 0.001 (0.003)	Loss 2.2808 (2.2093)	Prec@1 42.188 (44.430)	Prec@5 75.781 (75.054)
Epoch: [38][2430/14090]	Time 0.740 (0.765)	Data 0.001 (0.003)	Loss 2.0184 (2.2093)	Prec@1 50.781 (44.433)	Prec@5 78.125 (75.053)
Epoch: [38][2440/14090]	Time 0.740 (0.765)	Data 0.001 (0.003)	Loss 2.0425 (2.2091)	Prec@1 48.438 (44.433)	Prec@5 78.906 (75.057)
Epoch: [38][2450/14090]	Time 0.749 (0.764)	Data 0.001 (0.003)	Loss 2.2897 (2.2092)	Prec@1 41.406 (44.433)	Prec@5 77.344 (75.058)
Epoch: [38][2460/14090]	Time 1.042 (0.765)	Data 0.001 (0.003)	Loss 1.8463 (2.2090)	Prec@1 48.438 (44.439)	Prec@5 82.031 (75.063)
Epoch: [38][2470/14090]	Time 0.766 (0.765)	Data 0.001 (0.003)	Loss 2.2718 (2.2089)	Prec@1 42.188 (44.445)	Prec@5 75.000 (75.062)
Epoch: [38][2480/14090]	Time 0.749 (0.765)	Data 0.001 (0.003)	Loss 2.1553 (2.2089)	Prec@1 35.938 (44.442)	Prec@5 73.438 (75.060)
Epoch: [38][2490/14090]	Time 0.737 (0.765)	Data 0.001 (0.003)	Loss 2.2278 (2.2087)	Prec@1 46.875 (44.446)	Prec@5 76.562 (75.065)
Epoch: [38][2500/14090]	Time 0.746 (0.765)	Data 0.001 (0.003)	Loss 1.9791 (2.2086)	Prec@1 45.312 (44.440)	Prec@5 77.344 (75.064)
Epoch: [38][2510/14090]	Time 0.756 (0.765)	Data 0.001 (0.003)	Loss 2.2407 (2.2090)	Prec@1 41.406 (44.435)	Prec@5 76.562 (75.057)
Epoch: [38][2520/14090]	Time 0.752 (0.765)	Data 0.001 (0.003)	Loss 2.2978 (2.2092)	Prec@1 44.531 (44.432)	Prec@5 71.875 (75.052)
Epoch: [38][2530/14090]	Time 0.832 (0.765)	Data 0.001 (0.003)	Loss 2.4669 (2.2093)	Prec@1 42.188 (44.428)	Prec@5 68.750 (75.046)
Epoch: [38][2540/14090]	Time 0.765 (0.765)	Data 0.001 (0.003)	Loss 2.0724 (2.2096)	Prec@1 46.875 (44.423)	Prec@5 76.562 (75.042)
Epoch: [38][2550/14090]	Time 0.748 (0.765)	Data 0.001 (0.003)	Loss 2.0446 (2.2093)	Prec@1 47.656 (44.431)	Prec@5 81.250 (75.045)
Epoch: [38][2560/14090]	Time 0.779 (0.765)	Data 0.001 (0.003)	Loss 1.8281 (2.2094)	Prec@1 53.125 (44.431)	Prec@5 81.250 (75.047)
Epoch: [38][2570/14090]	Time 0.762 (0.765)	Data 0.001 (0.003)	Loss 2.0521 (2.2097)	Prec@1 46.875 (44.430)	Prec@5 79.688 (75.045)
Epoch: [38][2580/14090]	Time 0.758 (0.765)	Data 0.001 (0.003)	Loss 2.3003 (2.2096)	Prec@1 41.406 (44.425)	Prec@5 75.000 (75.048)
Epoch: [38][2590/14090]	Time 0.767 (0.765)	Data 0.001 (0.003)	Loss 2.2555 (2.2100)	Prec@1 45.312 (44.418)	Prec@5 78.125 (75.043)
Epoch: [38][2600/14090]	Time 0.873 (0.765)	Data 0.001 (0.003)	Loss 2.1009 (2.2104)	Prec@1 44.531 (44.411)	Prec@5 82.031 (75.035)
Epoch: [38][2610/14090]	Time 0.725 (0.765)	Data 0.001 (0.003)	Loss 2.1644 (2.2105)	Prec@1 48.438 (44.407)	Prec@5 72.656 (75.034)
Epoch: [38][2620/14090]	Time 0.766 (0.765)	Data 0.001 (0.003)	Loss 2.1440 (2.2108)	Prec@1 52.344 (44.402)	Prec@5 77.344 (75.029)
Epoch: [38][2630/14090]	Time 0.731 (0.765)	Data 0.001 (0.003)	Loss 2.0562 (2.2105)	Prec@1 47.656 (44.404)	Prec@5 81.250 (75.042)
Epoch: [38][2640/14090]	Time 0.741 (0.765)	Data 0.001 (0.003)	Loss 2.1650 (2.2104)	Prec@1 45.312 (44.407)	Prec@5 72.656 (75.043)
Epoch: [38][2650/14090]	Time 0.739 (0.765)	Data 0.001 (0.003)	Loss 2.3820 (2.2106)	Prec@1 41.406 (44.406)	Prec@5 73.438 (75.038)
Epoch: [38][2660/14090]	Time 0.747 (0.765)	Data 0.001 (0.003)	Loss 2.4632 (2.2110)	Prec@1 39.062 (44.394)	Prec@5 72.656 (75.031)
Epoch: [38][2670/14090]	Time 0.859 (0.765)	Data 0.001 (0.003)	Loss 2.2427 (2.2109)	Prec@1 49.219 (44.401)	Prec@5 71.875 (75.030)
Epoch: [38][2680/14090]	Time 0.761 (0.765)	Data 0.001 (0.003)	Loss 2.2428 (2.2109)	Prec@1 41.406 (44.398)	Prec@5 78.125 (75.031)
Epoch: [38][2690/14090]	Time 0.755 (0.765)	Data 0.001 (0.002)	Loss 2.2051 (2.2110)	Prec@1 39.844 (44.395)	Prec@5 68.750 (75.024)
Epoch: [38][2700/14090]	Time 0.742 (0.765)	Data 0.001 (0.002)	Loss 2.4853 (2.2113)	Prec@1 39.844 (44.392)	Prec@5 69.531 (75.022)
Epoch: [38][2710/14090]	Time 0.739 (0.765)	Data 0.001 (0.002)	Loss 2.3262 (2.2114)	Prec@1 44.531 (44.391)	Prec@5 68.750 (75.020)
Epoch: [38][2720/14090]	Time 0.752 (0.765)	Data 0.001 (0.002)	Loss 2.0300 (2.2115)	Prec@1 52.344 (44.389)	Prec@5 71.875 (75.014)
Epoch: [38][2730/14090]	Time 0.755 (0.765)	Data 0.001 (0.002)	Loss 2.1080 (2.2113)	Prec@1 39.062 (44.385)	Prec@5 79.688 (75.023)
Epoch: [38][2740/14090]	Time 0.864 (0.765)	Data 0.001 (0.002)	Loss 2.0846 (2.2111)	Prec@1 50.781 (44.391)	Prec@5 77.344 (75.030)
Epoch: [38][2750/14090]	Time 0.723 (0.765)	Data 0.001 (0.002)	Loss 1.9660 (2.2110)	Prec@1 53.125 (44.395)	Prec@5 80.469 (75.026)
Epoch: [38][2760/14090]	Time 0.734 (0.765)	Data 0.001 (0.002)	Loss 2.4136 (2.2110)	Prec@1 42.188 (44.397)	Prec@5 68.750 (75.024)
Epoch: [38][2770/14090]	Time 0.733 (0.765)	Data 0.001 (0.002)	Loss 2.3437 (2.2113)	Prec@1 39.062 (44.390)	Prec@5 71.875 (75.013)
Epoch: [38][2780/14090]	Time 0.735 (0.765)	Data 0.001 (0.002)	Loss 2.1622 (2.2111)	Prec@1 39.844 (44.396)	Prec@5 73.438 (75.020)
Epoch: [38][2790/14090]	Time 0.727 (0.765)	Data 0.001 (0.002)	Loss 2.2650 (2.2109)	Prec@1 41.406 (44.398)	Prec@5 78.125 (75.026)
Epoch: [38][2800/14090]	Time 0.730 (0.765)	Data 0.001 (0.002)	Loss 2.5129 (2.2109)	Prec@1 34.375 (44.393)	Prec@5 71.875 (75.028)
Epoch: [38][2810/14090]	Time 0.873 (0.765)	Data 0.001 (0.002)	Loss 2.2975 (2.2111)	Prec@1 39.844 (44.383)	Prec@5 71.875 (75.023)
Epoch: [38][2820/14090]	Time 0.732 (0.765)	Data 0.001 (0.002)	Loss 2.0867 (2.2108)	Prec@1 44.531 (44.391)	Prec@5 79.688 (75.028)
Epoch: [38][2830/14090]	Time 0.725 (0.765)	Data 0.001 (0.002)	Loss 2.2371 (2.2112)	Prec@1 42.969 (44.381)	Prec@5 71.094 (75.017)
Epoch: [38][2840/14090]	Time 0.745 (0.765)	Data 0.001 (0.002)	Loss 2.4367 (2.2113)	Prec@1 35.938 (44.373)	Prec@5 77.344 (75.016)
Epoch: [38][2850/14090]	Time 0.744 (0.765)	Data 0.001 (0.002)	Loss 2.1707 (2.2113)	Prec@1 49.219 (44.376)	Prec@5 76.562 (75.013)
Epoch: [38][2860/14090]	Time 0.763 (0.765)	Data 0.001 (0.002)	Loss 2.4412 (2.2113)	Prec@1 35.156 (44.372)	Prec@5 71.875 (75.012)
Epoch: [38][2870/14090]	Time 0.764 (0.765)	Data 0.001 (0.002)	Loss 2.1417 (2.2113)	Prec@1 49.219 (44.380)	Prec@5 72.656 (75.008)
Epoch: [38][2880/14090]	Time 0.837 (0.765)	Data 0.001 (0.002)	Loss 2.4276 (2.2116)	Prec@1 32.812 (44.362)	Prec@5 75.000 (75.005)
Epoch: [38][2890/14090]	Time 0.770 (0.765)	Data 0.001 (0.002)	Loss 1.9676 (2.2115)	Prec@1 47.656 (44.360)	Prec@5 78.125 (75.010)
Epoch: [38][2900/14090]	Time 0.749 (0.765)	Data 0.001 (0.002)	Loss 2.2979 (2.2116)	Prec@1 39.062 (44.359)	Prec@5 68.750 (75.007)
Epoch: [38][2910/14090]	Time 0.745 (0.765)	Data 0.001 (0.002)	Loss 2.1805 (2.2118)	Prec@1 43.750 (44.357)	Prec@5 75.000 (75.001)
Epoch: [38][2920/14090]	Time 0.744 (0.765)	Data 0.001 (0.002)	Loss 2.1714 (2.2120)	Prec@1 40.625 (44.349)	Prec@5 75.000 (74.999)
Epoch: [38][2930/14090]	Time 0.742 (0.765)	Data 0.001 (0.002)	Loss 2.0644 (2.2117)	Prec@1 48.438 (44.352)	Prec@5 76.562 (75.010)
Epoch: [38][2940/14090]	Time 0.742 (0.765)	Data 0.001 (0.002)	Loss 2.2622 (2.2118)	Prec@1 39.062 (44.349)	Prec@5 70.312 (75.008)
Epoch: [38][2950/14090]	Time 0.866 (0.765)	Data 0.001 (0.002)	Loss 2.2300 (2.2119)	Prec@1 46.875 (44.343)	Prec@5 73.438 (75.007)
Epoch: [38][2960/14090]	Time 0.750 (0.765)	Data 0.001 (0.002)	Loss 2.1157 (2.2118)	Prec@1 51.562 (44.345)	Prec@5 75.000 (75.007)
Epoch: [38][2970/14090]	Time 0.759 (0.765)	Data 0.001 (0.002)	Loss 2.3822 (2.2118)	Prec@1 40.625 (44.349)	Prec@5 71.875 (75.010)
Epoch: [38][2980/14090]	Time 0.723 (0.765)	Data 0.001 (0.002)	Loss 2.2251 (2.2120)	Prec@1 40.625 (44.341)	Prec@5 72.656 (75.007)
Epoch: [38][2990/14090]	Time 0.750 (0.765)	Data 0.001 (0.002)	Loss 2.2999 (2.2122)	Prec@1 46.875 (44.337)	Prec@5 68.750 (75.002)
Epoch: [38][3000/14090]	Time 0.752 (0.765)	Data 0.001 (0.002)	Loss 2.0531 (2.2124)	Prec@1 47.656 (44.337)	Prec@5 78.906 (75.003)
Epoch: [38][3010/14090]	Time 0.725 (0.765)	Data 0.001 (0.002)	Loss 2.0530 (2.2122)	Prec@1 43.750 (44.339)	Prec@5 80.469 (75.008)
Epoch: [38][3020/14090]	Time 0.877 (0.765)	Data 0.001 (0.002)	Loss 2.2829 (2.2124)	Prec@1 44.531 (44.341)	Prec@5 70.312 (75.007)
Epoch: [38][3030/14090]	Time 0.766 (0.765)	Data 0.001 (0.002)	Loss 2.5083 (2.2124)	Prec@1 37.500 (44.339)	Prec@5 70.312 (75.005)
Epoch: [38][3040/14090]	Time 0.751 (0.765)	Data 0.001 (0.002)	Loss 2.4161 (2.2126)	Prec@1 37.500 (44.330)	Prec@5 71.875 (74.998)
Epoch: [38][3050/14090]	Time 0.744 (0.765)	Data 0.001 (0.002)	Loss 1.9450 (2.2127)	Prec@1 49.219 (44.330)	Prec@5 80.469 (74.994)
Epoch: [38][3060/14090]	Time 0.746 (0.765)	Data 0.001 (0.002)	Loss 2.3064 (2.2125)	Prec@1 41.406 (44.336)	Prec@5 75.000 (75.002)
Epoch: [38][3070/14090]	Time 0.739 (0.765)	Data 0.001 (0.002)	Loss 2.1411 (2.2125)	Prec@1 48.438 (44.337)	Prec@5 77.344 (74.999)
Epoch: [38][3080/14090]	Time 0.769 (0.765)	Data 0.001 (0.002)	Loss 2.0978 (2.2126)	Prec@1 45.312 (44.333)	Prec@5 75.781 (74.996)
Epoch: [38][3090/14090]	Time 0.848 (0.765)	Data 0.001 (0.002)	Loss 2.2150 (2.2124)	Prec@1 46.094 (44.336)	Prec@5 75.000 (75.003)
Epoch: [38][3100/14090]	Time 0.743 (0.765)	Data 0.001 (0.002)	Loss 2.1918 (2.2128)	Prec@1 50.000 (44.334)	Prec@5 73.438 (74.992)
Epoch: [38][3110/14090]	Time 0.743 (0.765)	Data 0.001 (0.002)	Loss 2.0164 (2.2127)	Prec@1 46.875 (44.337)	Prec@5 77.344 (74.991)
Epoch: [38][3120/14090]	Time 0.729 (0.765)	Data 0.001 (0.002)	Loss 2.2539 (2.2128)	Prec@1 45.312 (44.336)	Prec@5 75.781 (74.985)
Epoch: [38][3130/14090]	Time 0.744 (0.765)	Data 0.001 (0.002)	Loss 2.0124 (2.2126)	Prec@1 53.906 (44.339)	Prec@5 75.781 (74.987)
Epoch: [38][3140/14090]	Time 0.737 (0.765)	Data 0.001 (0.002)	Loss 2.2109 (2.2127)	Prec@1 47.656 (44.336)	Prec@5 73.438 (74.986)
Epoch: [38][3150/14090]	Time 0.759 (0.765)	Data 0.001 (0.002)	Loss 2.2621 (2.2128)	Prec@1 40.625 (44.331)	Prec@5 73.438 (74.984)
Epoch: [38][3160/14090]	Time 0.869 (0.765)	Data 0.001 (0.002)	Loss 2.2301 (2.2129)	Prec@1 41.406 (44.335)	Prec@5 75.000 (74.981)
Epoch: [38][3170/14090]	Time 0.750 (0.765)	Data 0.001 (0.002)	Loss 2.1092 (2.2127)	Prec@1 48.438 (44.338)	Prec@5 76.562 (74.986)
Epoch: [38][3180/14090]	Time 0.721 (0.764)	Data 0.001 (0.002)	Loss 2.1574 (2.2128)	Prec@1 46.094 (44.334)	Prec@5 78.125 (74.987)
Epoch: [38][3190/14090]	Time 0.745 (0.765)	Data 0.001 (0.002)	Loss 2.2442 (2.2126)	Prec@1 45.312 (44.339)	Prec@5 72.656 (74.990)
Epoch: [38][3200/14090]	Time 0.727 (0.764)	Data 0.001 (0.002)	Loss 2.3954 (2.2126)	Prec@1 46.875 (44.338)	Prec@5 69.531 (74.986)
Epoch: [38][3210/14090]	Time 0.733 (0.764)	Data 0.001 (0.002)	Loss 2.3650 (2.2125)	Prec@1 39.844 (44.339)	Prec@5 75.000 (74.989)
Epoch: [38][3220/14090]	Time 0.743 (0.764)	Data 0.001 (0.002)	Loss 2.3376 (2.2126)	Prec@1 44.531 (44.337)	Prec@5 68.750 (74.985)
Epoch: [38][3230/14090]	Time 0.878 (0.764)	Data 0.001 (0.002)	Loss 2.1765 (2.2125)	Prec@1 42.969 (44.335)	Prec@5 77.344 (74.982)
Epoch: [38][3240/14090]	Time 0.734 (0.764)	Data 0.001 (0.002)	Loss 2.2792 (2.2129)	Prec@1 39.062 (44.330)	Prec@5 71.875 (74.975)
Epoch: [38][3250/14090]	Time 0.766 (0.764)	Data 0.001 (0.002)	Loss 2.1771 (2.2132)	Prec@1 46.094 (44.326)	Prec@5 72.656 (74.966)
Epoch: [38][3260/14090]	Time 0.741 (0.765)	Data 0.001 (0.002)	Loss 1.9689 (2.2131)	Prec@1 51.562 (44.328)	Prec@5 78.906 (74.971)
Epoch: [38][3270/14090]	Time 0.762 (0.764)	Data 0.001 (0.002)	Loss 2.3182 (2.2134)	Prec@1 41.406 (44.324)	Prec@5 75.000 (74.965)
Epoch: [38][3280/14090]	Time 0.748 (0.765)	Data 0.001 (0.002)	Loss 2.5567 (2.2135)	Prec@1 37.500 (44.322)	Prec@5 69.531 (74.964)
Epoch: [38][3290/14090]	Time 0.757 (0.764)	Data 0.001 (0.002)	Loss 2.3595 (2.2132)	Prec@1 42.188 (44.328)	Prec@5 71.875 (74.969)
Epoch: [38][3300/14090]	Time 0.898 (0.765)	Data 0.001 (0.002)	Loss 2.3615 (2.2137)	Prec@1 39.844 (44.319)	Prec@5 75.781 (74.960)
Epoch: [38][3310/14090]	Time 0.736 (0.764)	Data 0.001 (0.002)	Loss 2.4727 (2.2139)	Prec@1 41.406 (44.314)	Prec@5 67.969 (74.960)
Epoch: [38][3320/14090]	Time 0.762 (0.764)	Data 0.001 (0.002)	Loss 2.2794 (2.2139)	Prec@1 42.969 (44.319)	Prec@5 72.656 (74.959)
Epoch: [38][3330/14090]	Time 0.744 (0.764)	Data 0.001 (0.002)	Loss 2.2262 (2.2139)	Prec@1 42.969 (44.318)	Prec@5 74.219 (74.951)
Epoch: [38][3340/14090]	Time 0.747 (0.764)	Data 0.001 (0.002)	Loss 2.5334 (2.2140)	Prec@1 42.188 (44.325)	Prec@5 67.188 (74.945)
Epoch: [38][3350/14090]	Time 0.763 (0.764)	Data 0.001 (0.002)	Loss 2.0751 (2.2139)	Prec@1 49.219 (44.327)	Prec@5 77.344 (74.945)
Epoch: [38][3360/14090]	Time 0.761 (0.764)	Data 0.001 (0.002)	Loss 2.2635 (2.2141)	Prec@1 45.312 (44.326)	Prec@5 75.000 (74.944)
Epoch: [38][3370/14090]	Time 0.808 (0.764)	Data 0.001 (0.002)	Loss 2.2998 (2.2141)	Prec@1 42.969 (44.330)	Prec@5 71.094 (74.943)
Epoch: [38][3380/14090]	Time 0.752 (0.764)	Data 0.001 (0.002)	Loss 2.1326 (2.2142)	Prec@1 46.094 (44.328)	Prec@5 78.125 (74.942)
Epoch: [38][3390/14090]	Time 0.759 (0.764)	Data 0.001 (0.002)	Loss 2.3171 (2.2144)	Prec@1 41.406 (44.323)	Prec@5 78.125 (74.942)
Epoch: [38][3400/14090]	Time 0.727 (0.764)	Data 0.001 (0.002)	Loss 2.1510 (2.2144)	Prec@1 50.000 (44.323)	Prec@5 78.125 (74.942)
Epoch: [38][3410/14090]	Time 0.745 (0.764)	Data 0.001 (0.002)	Loss 2.1678 (2.2145)	Prec@1 42.969 (44.318)	Prec@5 77.344 (74.937)
Epoch: [38][3420/14090]	Time 0.770 (0.764)	Data 0.001 (0.002)	Loss 2.3697 (2.2147)	Prec@1 43.750 (44.318)	Prec@5 70.312 (74.931)
Epoch: [38][3430/14090]	Time 0.751 (0.764)	Data 0.001 (0.002)	Loss 2.4058 (2.2149)	Prec@1 40.625 (44.318)	Prec@5 71.094 (74.926)
Epoch: [38][3440/14090]	Time 0.841 (0.764)	Data 0.001 (0.002)	Loss 2.1092 (2.2150)	Prec@1 40.625 (44.312)	Prec@5 77.344 (74.924)
Epoch: [38][3450/14090]	Time 0.733 (0.764)	Data 0.001 (0.002)	Loss 2.1692 (2.2150)	Prec@1 44.531 (44.312)	Prec@5 69.531 (74.922)
Epoch: [38][3460/14090]	Time 0.750 (0.764)	Data 0.001 (0.002)	Loss 2.2823 (2.2150)	Prec@1 43.750 (44.314)	Prec@5 72.656 (74.923)
Epoch: [38][3470/14090]	Time 0.779 (0.764)	Data 0.001 (0.002)	Loss 2.0694 (2.2152)	Prec@1 46.094 (44.308)	Prec@5 78.125 (74.919)
Epoch: [38][3480/14090]	Time 0.768 (0.764)	Data 0.001 (0.002)	Loss 2.2224 (2.2154)	Prec@1 47.656 (44.307)	Prec@5 76.562 (74.914)
Epoch: [38][3490/14090]	Time 0.761 (0.764)	Data 0.001 (0.002)	Loss 2.3483 (2.2154)	Prec@1 39.844 (44.306)	Prec@5 72.656 (74.914)
Epoch: [38][3500/14090]	Time 0.759 (0.764)	Data 0.001 (0.002)	Loss 2.2020 (2.2153)	Prec@1 43.750 (44.313)	Prec@5 74.219 (74.917)
Epoch: [38][3510/14090]	Time 0.823 (0.764)	Data 0.001 (0.002)	Loss 2.5163 (2.2154)	Prec@1 41.406 (44.309)	Prec@5 67.969 (74.914)
Epoch: [38][3520/14090]	Time 0.727 (0.764)	Data 0.001 (0.002)	Loss 2.2245 (2.2158)	Prec@1 39.844 (44.306)	Prec@5 75.781 (74.908)
Epoch: [38][3530/14090]	Time 0.729 (0.764)	Data 0.001 (0.002)	Loss 2.1730 (2.2158)	Prec@1 46.094 (44.302)	Prec@5 78.125 (74.911)
Epoch: [38][3540/14090]	Time 0.741 (0.764)	Data 0.001 (0.002)	Loss 2.0809 (2.2157)	Prec@1 45.312 (44.305)	Prec@5 77.344 (74.914)
Epoch: [38][3550/14090]	Time 0.763 (0.764)	Data 0.001 (0.002)	Loss 2.2013 (2.2157)	Prec@1 42.188 (44.298)	Prec@5 78.125 (74.915)
Epoch: [38][3560/14090]	Time 0.778 (0.764)	Data 0.001 (0.002)	Loss 2.3018 (2.2156)	Prec@1 40.625 (44.296)	Prec@5 78.906 (74.918)
Epoch: [38][3570/14090]	Time 0.748 (0.764)	Data 0.001 (0.002)	Loss 2.3793 (2.2156)	Prec@1 43.750 (44.298)	Prec@5 74.219 (74.919)
Epoch: [38][3580/14090]	Time 0.874 (0.764)	Data 0.001 (0.002)	Loss 2.5449 (2.2156)	Prec@1 40.625 (44.297)	Prec@5 72.656 (74.920)
Epoch: [38][3590/14090]	Time 0.740 (0.764)	Data 0.001 (0.002)	Loss 2.2276 (2.2155)	Prec@1 47.656 (44.304)	Prec@5 74.219 (74.919)
Epoch: [38][3600/14090]	Time 0.744 (0.764)	Data 0.001 (0.002)	Loss 2.0413 (2.2155)	Prec@1 45.312 (44.303)	Prec@5 78.906 (74.918)
Epoch: [38][3610/14090]	Time 0.741 (0.764)	Data 0.001 (0.002)	Loss 2.0568 (2.2158)	Prec@1 39.062 (44.293)	Prec@5 80.469 (74.916)
Epoch: [38][3620/14090]	Time 0.734 (0.764)	Data 0.001 (0.002)	Loss 2.2922 (2.2158)	Prec@1 42.188 (44.292)	Prec@5 74.219 (74.916)
Epoch: [38][3630/14090]	Time 0.734 (0.764)	Data 0.001 (0.002)	Loss 2.3538 (2.2157)	Prec@1 41.406 (44.295)	Prec@5 73.438 (74.918)
Epoch: [38][3640/14090]	Time 0.741 (0.764)	Data 0.001 (0.002)	Loss 2.0526 (2.2157)	Prec@1 41.406 (44.294)	Prec@5 76.562 (74.918)
Epoch: [38][3650/14090]	Time 0.816 (0.764)	Data 0.001 (0.002)	Loss 2.6948 (2.2159)	Prec@1 34.375 (44.290)	Prec@5 67.969 (74.914)
Epoch: [38][3660/14090]	Time 0.729 (0.764)	Data 0.001 (0.002)	Loss 2.1174 (2.2159)	Prec@1 42.969 (44.289)	Prec@5 77.344 (74.914)
Epoch: [38][3670/14090]	Time 0.739 (0.764)	Data 0.001 (0.002)	Loss 2.2474 (2.2161)	Prec@1 45.312 (44.283)	Prec@5 72.656 (74.910)
Epoch: [38][3680/14090]	Time 0.776 (0.764)	Data 0.001 (0.002)	Loss 2.2897 (2.2163)	Prec@1 41.406 (44.277)	Prec@5 76.562 (74.908)
Epoch: [38][3690/14090]	Time 0.755 (0.764)	Data 0.001 (0.002)	Loss 2.2819 (2.2163)	Prec@1 41.406 (44.273)	Prec@5 75.000 (74.908)
Epoch: [38][3700/14090]	Time 0.748 (0.764)	Data 0.001 (0.002)	Loss 2.3892 (2.2165)	Prec@1 44.531 (44.271)	Prec@5 73.438 (74.903)
Epoch: [38][3710/14090]	Time 0.784 (0.764)	Data 0.001 (0.002)	Loss 2.2070 (2.2165)	Prec@1 47.656 (44.271)	Prec@5 74.219 (74.905)
Epoch: [38][3720/14090]	Time 0.856 (0.764)	Data 0.001 (0.002)	Loss 2.2103 (2.2164)	Prec@1 50.781 (44.272)	Prec@5 73.438 (74.905)
Epoch: [38][3730/14090]	Time 0.728 (0.764)	Data 0.001 (0.002)	Loss 2.4397 (2.2164)	Prec@1 40.625 (44.273)	Prec@5 71.094 (74.910)
Epoch: [38][3740/14090]	Time 0.745 (0.764)	Data 0.001 (0.002)	Loss 2.1898 (2.2162)	Prec@1 46.875 (44.273)	Prec@5 72.656 (74.912)
Epoch: [38][3750/14090]	Time 0.766 (0.764)	Data 0.001 (0.002)	Loss 2.1892 (2.2161)	Prec@1 48.438 (44.274)	Prec@5 73.438 (74.914)
Epoch: [38][3760/14090]	Time 0.765 (0.764)	Data 0.001 (0.002)	Loss 2.0835 (2.2160)	Prec@1 45.312 (44.277)	Prec@5 71.875 (74.916)
Epoch: [38][3770/14090]	Time 0.750 (0.764)	Data 0.001 (0.002)	Loss 2.6020 (2.2161)	Prec@1 40.625 (44.279)	Prec@5 64.062 (74.908)
Epoch: [38][3780/14090]	Time 0.765 (0.764)	Data 0.001 (0.002)	Loss 2.2187 (2.2158)	Prec@1 46.094 (44.283)	Prec@5 77.344 (74.912)
Epoch: [38][3790/14090]	Time 0.850 (0.764)	Data 0.001 (0.002)	Loss 2.5290 (2.2161)	Prec@1 39.062 (44.277)	Prec@5 68.750 (74.906)
Epoch: [38][3800/14090]	Time 0.728 (0.764)	Data 0.001 (0.002)	Loss 2.3357 (2.2163)	Prec@1 41.406 (44.269)	Prec@5 77.344 (74.902)
Epoch: [38][3810/14090]	Time 0.763 (0.764)	Data 0.001 (0.002)	Loss 2.5233 (2.2164)	Prec@1 35.156 (44.267)	Prec@5 71.094 (74.900)
Epoch: [38][3820/14090]	Time 0.750 (0.764)	Data 0.001 (0.002)	Loss 2.3859 (2.2165)	Prec@1 41.406 (44.266)	Prec@5 71.875 (74.901)
Epoch: [38][3830/14090]	Time 0.756 (0.764)	Data 0.001 (0.002)	Loss 1.9515 (2.2164)	Prec@1 51.562 (44.272)	Prec@5 79.688 (74.903)
Epoch: [38][3840/14090]	Time 0.732 (0.764)	Data 0.001 (0.002)	Loss 2.4888 (2.2168)	Prec@1 37.500 (44.264)	Prec@5 68.750 (74.894)
Epoch: [38][3850/14090]	Time 0.754 (0.764)	Data 0.001 (0.002)	Loss 2.4246 (2.2170)	Prec@1 37.500 (44.263)	Prec@5 74.219 (74.890)
Epoch: [38][3860/14090]	Time 0.893 (0.764)	Data 0.001 (0.002)	Loss 2.0660 (2.2171)	Prec@1 48.438 (44.264)	Prec@5 77.344 (74.885)
Epoch: [38][3870/14090]	Time 0.745 (0.764)	Data 0.001 (0.002)	Loss 2.1916 (2.2171)	Prec@1 46.875 (44.266)	Prec@5 74.219 (74.886)
Epoch: [38][3880/14090]	Time 0.728 (0.764)	Data 0.001 (0.002)	Loss 2.2498 (2.2173)	Prec@1 42.969 (44.262)	Prec@5 73.438 (74.884)
Epoch: [38][3890/14090]	Time 0.754 (0.764)	Data 0.001 (0.002)	Loss 2.5280 (2.2175)	Prec@1 41.406 (44.261)	Prec@5 72.656 (74.882)
Epoch: [38][3900/14090]	Time 0.737 (0.764)	Data 0.001 (0.002)	Loss 2.0359 (2.2175)	Prec@1 49.219 (44.261)	Prec@5 82.031 (74.879)
Epoch: [38][3910/14090]	Time 0.758 (0.765)	Data 0.001 (0.002)	Loss 2.1224 (2.2174)	Prec@1 50.781 (44.264)	Prec@5 75.000 (74.879)
Epoch: [38][3920/14090]	Time 0.754 (0.765)	Data 0.001 (0.002)	Loss 1.9447 (2.2175)	Prec@1 50.000 (44.264)	Prec@5 84.375 (74.877)
Epoch: [38][3930/14090]	Time 0.841 (0.764)	Data 0.001 (0.002)	Loss 2.1538 (2.2178)	Prec@1 47.656 (44.257)	Prec@5 76.562 (74.869)
Epoch: [38][3940/14090]	Time 0.741 (0.764)	Data 0.001 (0.002)	Loss 2.3144 (2.2179)	Prec@1 42.969 (44.255)	Prec@5 71.875 (74.867)
Epoch: [38][3950/14090]	Time 0.744 (0.764)	Data 0.001 (0.002)	Loss 2.0736 (2.2178)	Prec@1 42.188 (44.259)	Prec@5 76.562 (74.869)
Epoch: [38][3960/14090]	Time 0.742 (0.764)	Data 0.001 (0.002)	Loss 2.1523 (2.2179)	Prec@1 43.750 (44.260)	Prec@5 77.344 (74.868)
Epoch: [38][3970/14090]	Time 0.778 (0.764)	Data 0.001 (0.002)	Loss 2.1893 (2.2178)	Prec@1 46.875 (44.263)	Prec@5 78.125 (74.872)
Epoch: [38][3980/14090]	Time 0.764 (0.764)	Data 0.001 (0.002)	Loss 2.0924 (2.2178)	Prec@1 48.438 (44.256)	Prec@5 78.125 (74.870)
Epoch: [38][3990/14090]	Time 0.735 (0.764)	Data 0.001 (0.002)	Loss 2.6986 (2.2180)	Prec@1 32.812 (44.253)	Prec@5 66.406 (74.868)
Epoch: [38][4000/14090]	Time 0.816 (0.764)	Data 0.001 (0.002)	Loss 2.2289 (2.2180)	Prec@1 37.500 (44.257)	Prec@5 75.781 (74.870)
Epoch: [38][4010/14090]	Time 0.764 (0.764)	Data 0.001 (0.002)	Loss 2.3282 (2.2181)	Prec@1 42.969 (44.256)	Prec@5 71.875 (74.866)
Epoch: [38][4020/14090]	Time 0.750 (0.764)	Data 0.001 (0.002)	Loss 2.3646 (2.2181)	Prec@1 39.062 (44.255)	Prec@5 70.312 (74.868)
Epoch: [38][4030/14090]	Time 0.750 (0.764)	Data 0.001 (0.002)	Loss 2.5597 (2.2181)	Prec@1 36.719 (44.254)	Prec@5 71.875 (74.869)
Epoch: [38][4040/14090]	Time 0.731 (0.764)	Data 0.001 (0.002)	Loss 2.4859 (2.2181)	Prec@1 35.938 (44.254)	Prec@5 71.094 (74.868)
Epoch: [38][4050/14090]	Time 0.753 (0.764)	Data 0.001 (0.002)	Loss 2.4404 (2.2179)	Prec@1 39.844 (44.253)	Prec@5 73.438 (74.872)
Epoch: [38][4060/14090]	Time 0.763 (0.764)	Data 0.001 (0.002)	Loss 2.0786 (2.2181)	Prec@1 44.531 (44.248)	Prec@5 77.344 (74.867)
Epoch: [38][4070/14090]	Time 0.829 (0.764)	Data 0.001 (0.002)	Loss 2.6018 (2.2182)	Prec@1 36.719 (44.247)	Prec@5 69.531 (74.865)
Epoch: [38][4080/14090]	Time 0.740 (0.764)	Data 0.001 (0.002)	Loss 2.2537 (2.2184)	Prec@1 44.531 (44.244)	Prec@5 76.562 (74.864)
Epoch: [38][4090/14090]	Time 0.731 (0.764)	Data 0.001 (0.002)	Loss 2.1693 (2.2184)	Prec@1 46.094 (44.242)	Prec@5 77.344 (74.865)
Epoch: [38][4100/14090]	Time 0.755 (0.764)	Data 0.001 (0.002)	Loss 2.6720 (2.2185)	Prec@1 35.938 (44.237)	Prec@5 63.281 (74.861)
Epoch: [38][4110/14090]	Time 0.740 (0.764)	Data 0.001 (0.002)	Loss 2.2808 (2.2187)	Prec@1 46.875 (44.232)	Prec@5 74.219 (74.859)
Epoch: [38][4120/14090]	Time 0.758 (0.764)	Data 0.001 (0.002)	Loss 2.1291 (2.2186)	Prec@1 46.875 (44.233)	Prec@5 79.688 (74.862)
Epoch: [38][4130/14090]	Time 0.730 (0.764)	Data 0.001 (0.002)	Loss 2.4962 (2.2187)	Prec@1 39.844 (44.227)	Prec@5 72.656 (74.862)
Epoch: [38][4140/14090]	Time 0.877 (0.764)	Data 0.001 (0.002)	Loss 2.3251 (2.2189)	Prec@1 38.281 (44.221)	Prec@5 75.000 (74.857)
Epoch: [38][4150/14090]	Time 0.742 (0.764)	Data 0.001 (0.002)	Loss 1.8441 (2.2188)	Prec@1 51.562 (44.222)	Prec@5 83.594 (74.857)
Epoch: [38][4160/14090]	Time 0.750 (0.764)	Data 0.001 (0.002)	Loss 2.1034 (2.2188)	Prec@1 48.438 (44.224)	Prec@5 76.562 (74.857)
Epoch: [38][4170/14090]	Time 0.746 (0.764)	Data 0.001 (0.002)	Loss 2.2381 (2.2188)	Prec@1 41.406 (44.225)	Prec@5 73.438 (74.858)
Epoch: [38][4180/14090]	Time 0.757 (0.764)	Data 0.001 (0.002)	Loss 2.0884 (2.2188)	Prec@1 48.438 (44.224)	Prec@5 77.344 (74.859)
Epoch: [38][4190/14090]	Time 0.736 (0.764)	Data 0.001 (0.002)	Loss 2.2825 (2.2188)	Prec@1 42.188 (44.223)	Prec@5 74.219 (74.859)
Epoch: [38][4200/14090]	Time 0.747 (0.764)	Data 0.001 (0.002)	Loss 2.1054 (2.2186)	Prec@1 45.312 (44.225)	Prec@5 79.688 (74.863)
Epoch: [38][4210/14090]	Time 0.804 (0.764)	Data 0.001 (0.002)	Loss 2.4703 (2.2186)	Prec@1 43.750 (44.225)	Prec@5 67.969 (74.863)
Epoch: [38][4220/14090]	Time 0.757 (0.764)	Data 0.001 (0.002)	Loss 2.5123 (2.2186)	Prec@1 39.844 (44.223)	Prec@5 69.531 (74.862)
Epoch: [38][4230/14090]	Time 0.758 (0.764)	Data 0.001 (0.002)	Loss 2.2086 (2.2187)	Prec@1 43.750 (44.225)	Prec@5 72.656 (74.858)
Epoch: [38][4240/14090]	Time 0.726 (0.764)	Data 0.001 (0.002)	Loss 2.2487 (2.2187)	Prec@1 42.969 (44.223)	Prec@5 74.219 (74.858)
Epoch: [38][4250/14090]	Time 0.755 (0.764)	Data 0.001 (0.002)	Loss 2.3727 (2.2189)	Prec@1 42.969 (44.221)	Prec@5 71.875 (74.852)
Epoch: [38][4260/14090]	Time 0.725 (0.764)	Data 0.001 (0.002)	Loss 2.0230 (2.2189)	Prec@1 46.875 (44.219)	Prec@5 82.031 (74.854)
Epoch: [38][4270/14090]	Time 0.759 (0.764)	Data 0.001 (0.002)	Loss 2.1257 (2.2187)	Prec@1 44.531 (44.223)	Prec@5 77.344 (74.857)
Epoch: [38][4280/14090]	Time 0.865 (0.764)	Data 0.001 (0.002)	Loss 2.1092 (2.2187)	Prec@1 46.094 (44.222)	Prec@5 77.344 (74.857)
Epoch: [38][4290/14090]	Time 0.763 (0.764)	Data 0.001 (0.002)	Loss 2.0472 (2.2187)	Prec@1 45.312 (44.223)	Prec@5 76.562 (74.859)
Epoch: [38][4300/14090]	Time 0.767 (0.764)	Data 0.001 (0.002)	Loss 2.1367 (2.2187)	Prec@1 46.094 (44.225)	Prec@5 75.781 (74.858)
Epoch: [38][4310/14090]	Time 0.771 (0.764)	Data 0.001 (0.002)	Loss 2.4608 (2.2189)	Prec@1 41.406 (44.223)	Prec@5 68.750 (74.855)
Epoch: [38][4320/14090]	Time 0.729 (0.764)	Data 0.001 (0.002)	Loss 2.3852 (2.2189)	Prec@1 43.750 (44.221)	Prec@5 71.875 (74.856)
Epoch: [38][4330/14090]	Time 0.725 (0.764)	Data 0.001 (0.002)	Loss 2.4946 (2.2190)	Prec@1 38.281 (44.217)	Prec@5 64.844 (74.851)
Epoch: [38][4340/14090]	Time 0.736 (0.764)	Data 0.001 (0.002)	Loss 2.1687 (2.2189)	Prec@1 44.531 (44.219)	Prec@5 78.125 (74.852)
Epoch: [38][4350/14090]	Time 0.823 (0.764)	Data 0.001 (0.002)	Loss 2.0433 (2.2189)	Prec@1 49.219 (44.219)	Prec@5 77.344 (74.852)
Epoch: [38][4360/14090]	Time 0.759 (0.764)	Data 0.001 (0.002)	Loss 2.2986 (2.2189)	Prec@1 45.312 (44.221)	Prec@5 74.219 (74.854)
Epoch: [38][4370/14090]	Time 0.753 (0.764)	Data 0.001 (0.002)	Loss 2.0988 (2.2189)	Prec@1 53.125 (44.223)	Prec@5 78.906 (74.855)
Epoch: [38][4380/14090]	Time 0.737 (0.764)	Data 0.001 (0.002)	Loss 2.2324 (2.2189)	Prec@1 47.656 (44.222)	Prec@5 76.562 (74.856)
Epoch: [38][4390/14090]	Time 0.756 (0.764)	Data 0.001 (0.002)	Loss 2.2571 (2.2189)	Prec@1 42.969 (44.222)	Prec@5 71.094 (74.855)
Epoch: [38][4400/14090]	Time 0.774 (0.764)	Data 0.001 (0.002)	Loss 2.0145 (2.2188)	Prec@1 53.125 (44.223)	Prec@5 78.125 (74.855)
Epoch: [38][4410/14090]	Time 0.728 (0.764)	Data 0.001 (0.002)	Loss 2.1455 (2.2188)	Prec@1 46.094 (44.224)	Prec@5 75.781 (74.856)
Epoch: [38][4420/14090]	Time 0.877 (0.764)	Data 0.001 (0.002)	Loss 2.5160 (2.2187)	Prec@1 39.062 (44.225)	Prec@5 64.062 (74.856)
Epoch: [38][4430/14090]	Time 0.777 (0.764)	Data 0.001 (0.002)	Loss 2.2493 (2.2187)	Prec@1 43.750 (44.230)	Prec@5 75.000 (74.857)
Epoch: [38][4440/14090]	Time 0.751 (0.764)	Data 0.001 (0.002)	Loss 2.3347 (2.2189)	Prec@1 44.531 (44.227)	Prec@5 71.875 (74.852)
Epoch: [38][4450/14090]	Time 0.744 (0.764)	Data 0.001 (0.002)	Loss 2.2965 (2.2191)	Prec@1 46.875 (44.225)	Prec@5 71.875 (74.849)
Epoch: [38][4460/14090]	Time 0.764 (0.764)	Data 0.001 (0.002)	Loss 2.2022 (2.2192)	Prec@1 39.062 (44.221)	Prec@5 71.875 (74.849)
Epoch: [38][4470/14090]	Time 0.738 (0.764)	Data 0.001 (0.002)	Loss 2.3080 (2.2191)	Prec@1 40.625 (44.225)	Prec@5 76.562 (74.851)
Epoch: [38][4480/14090]	Time 0.736 (0.764)	Data 0.001 (0.002)	Loss 2.6227 (2.2191)	Prec@1 39.844 (44.223)	Prec@5 64.844 (74.849)
Epoch: [38][4490/14090]	Time 0.845 (0.764)	Data 0.001 (0.002)	Loss 2.0881 (2.2191)	Prec@1 45.312 (44.225)	Prec@5 76.562 (74.852)
Epoch: [38][4500/14090]	Time 0.768 (0.764)	Data 0.001 (0.002)	Loss 2.0630 (2.2192)	Prec@1 50.000 (44.224)	Prec@5 77.344 (74.850)
Epoch: [38][4510/14090]	Time 0.736 (0.764)	Data 0.001 (0.002)	Loss 2.3176 (2.2191)	Prec@1 47.656 (44.230)	Prec@5 73.438 (74.849)
Epoch: [38][4520/14090]	Time 0.743 (0.764)	Data 0.001 (0.002)	Loss 2.2050 (2.2191)	Prec@1 47.656 (44.230)	Prec@5 75.000 (74.849)
Epoch: [38][4530/14090]	Time 0.723 (0.764)	Data 0.001 (0.002)	Loss 1.9935 (2.2189)	Prec@1 45.312 (44.235)	Prec@5 81.250 (74.852)
Epoch: [38][4540/14090]	Time 0.750 (0.764)	Data 0.001 (0.002)	Loss 2.1134 (2.2190)	Prec@1 43.750 (44.233)	Prec@5 78.125 (74.852)
Epoch: [38][4550/14090]	Time 0.734 (0.764)	Data 0.001 (0.002)	Loss 2.3466 (2.2192)	Prec@1 42.188 (44.228)	Prec@5 77.344 (74.852)
Epoch: [38][4560/14090]	Time 0.817 (0.764)	Data 0.001 (0.002)	Loss 2.1760 (2.2193)	Prec@1 43.750 (44.228)	Prec@5 75.781 (74.851)
Epoch: [38][4570/14090]	Time 0.747 (0.764)	Data 0.001 (0.002)	Loss 1.9945 (2.2192)	Prec@1 42.188 (44.227)	Prec@5 81.250 (74.853)
Epoch: [38][4580/14090]	Time 0.760 (0.764)	Data 0.001 (0.002)	Loss 1.9947 (2.2192)	Prec@1 47.656 (44.226)	Prec@5 81.250 (74.855)
Epoch: [38][4590/14090]	Time 0.765 (0.764)	Data 0.001 (0.002)	Loss 2.4362 (2.2190)	Prec@1 37.500 (44.230)	Prec@5 68.750 (74.858)
Epoch: [38][4600/14090]	Time 0.739 (0.764)	Data 0.001 (0.002)	Loss 2.1466 (2.2192)	Prec@1 57.031 (44.231)	Prec@5 79.688 (74.855)
Epoch: [38][4610/14090]	Time 0.780 (0.764)	Data 0.001 (0.002)	Loss 2.1837 (2.2192)	Prec@1 45.312 (44.233)	Prec@5 74.219 (74.854)
Epoch: [38][4620/14090]	Time 0.731 (0.764)	Data 0.001 (0.002)	Loss 2.2030 (2.2193)	Prec@1 44.531 (44.233)	Prec@5 78.125 (74.853)
Epoch: [38][4630/14090]	Time 0.853 (0.764)	Data 0.001 (0.002)	Loss 2.3631 (2.2194)	Prec@1 42.188 (44.231)	Prec@5 69.531 (74.852)
Epoch: [38][4640/14090]	Time 0.751 (0.764)	Data 0.001 (0.002)	Loss 2.2436 (2.2195)	Prec@1 39.844 (44.230)	Prec@5 75.000 (74.853)
Epoch: [38][4650/14090]	Time 0.717 (0.764)	Data 0.001 (0.002)	Loss 2.0488 (2.2195)	Prec@1 48.438 (44.231)	Prec@5 77.344 (74.850)
Epoch: [38][4660/14090]	Time 0.751 (0.764)	Data 0.001 (0.002)	Loss 2.0780 (2.2194)	Prec@1 46.094 (44.232)	Prec@5 75.000 (74.851)
Epoch: [38][4670/14090]	Time 0.746 (0.764)	Data 0.001 (0.002)	Loss 2.2186 (2.2194)	Prec@1 45.312 (44.229)	Prec@5 77.344 (74.855)
Epoch: [38][4680/14090]	Time 0.765 (0.764)	Data 0.001 (0.002)	Loss 2.2929 (2.2193)	Prec@1 39.062 (44.229)	Prec@5 72.656 (74.858)
Epoch: [38][4690/14090]	Time 0.753 (0.764)	Data 0.001 (0.002)	Loss 2.4467 (2.2194)	Prec@1 39.844 (44.227)	Prec@5 75.000 (74.854)
Epoch: [38][4700/14090]	Time 0.848 (0.764)	Data 0.001 (0.002)	Loss 2.1932 (2.2194)	Prec@1 42.969 (44.228)	Prec@5 76.562 (74.854)
Epoch: [38][4710/14090]	Time 0.724 (0.764)	Data 0.001 (0.002)	Loss 2.1198 (2.2194)	Prec@1 46.875 (44.228)	Prec@5 77.344 (74.853)
Epoch: [38][4720/14090]	Time 0.759 (0.764)	Data 0.001 (0.002)	Loss 2.3219 (2.2196)	Prec@1 40.625 (44.224)	Prec@5 75.781 (74.851)
Epoch: [38][4730/14090]	Time 0.737 (0.764)	Data 0.001 (0.002)	Loss 2.1582 (2.2196)	Prec@1 44.531 (44.222)	Prec@5 76.562 (74.850)
Epoch: [38][4740/14090]	Time 0.792 (0.764)	Data 0.001 (0.002)	Loss 2.0698 (2.2196)	Prec@1 46.875 (44.224)	Prec@5 75.781 (74.851)
Epoch: [38][4750/14090]	Time 0.743 (0.764)	Data 0.001 (0.002)	Loss 2.1736 (2.2195)	Prec@1 42.969 (44.226)	Prec@5 71.875 (74.853)
Epoch: [38][4760/14090]	Time 0.751 (0.764)	Data 0.001 (0.002)	Loss 2.0694 (2.2194)	Prec@1 48.438 (44.225)	Prec@5 75.000 (74.853)
Epoch: [38][4770/14090]	Time 0.840 (0.764)	Data 0.001 (0.002)	Loss 2.3651 (2.2194)	Prec@1 43.750 (44.223)	Prec@5 75.000 (74.853)
Epoch: [38][4780/14090]	Time 0.760 (0.764)	Data 0.001 (0.002)	Loss 2.0073 (2.2193)	Prec@1 45.312 (44.225)	Prec@5 77.344 (74.854)
Epoch: [38][4790/14090]	Time 0.783 (0.764)	Data 0.001 (0.002)	Loss 1.9093 (2.2191)	Prec@1 53.125 (44.229)	Prec@5 82.812 (74.857)
Epoch: [38][4800/14090]	Time 0.729 (0.764)	Data 0.001 (0.002)	Loss 2.2665 (2.2190)	Prec@1 46.094 (44.232)	Prec@5 72.656 (74.858)
Epoch: [38][4810/14090]	Time 0.759 (0.764)	Data 0.001 (0.002)	Loss 2.0097 (2.2190)	Prec@1 49.219 (44.234)	Prec@5 78.125 (74.860)
Epoch: [38][4820/14090]	Time 0.755 (0.764)	Data 0.001 (0.002)	Loss 1.9998 (2.2190)	Prec@1 50.000 (44.233)	Prec@5 76.562 (74.862)
Epoch: [38][4830/14090]	Time 0.759 (0.764)	Data 0.001 (0.002)	Loss 1.8750 (2.2187)	Prec@1 47.656 (44.238)	Prec@5 84.375 (74.868)
Epoch: [38][4840/14090]	Time 0.844 (0.764)	Data 0.001 (0.002)	Loss 2.2791 (2.2187)	Prec@1 42.969 (44.236)	Prec@5 75.000 (74.869)
Epoch: [38][4850/14090]	Time 0.737 (0.764)	Data 0.001 (0.002)	Loss 2.2462 (2.2187)	Prec@1 35.938 (44.236)	Prec@5 78.125 (74.870)
Epoch: [38][4860/14090]	Time 0.738 (0.764)	Data 0.001 (0.002)	Loss 2.5625 (2.2188)	Prec@1 38.281 (44.234)	Prec@5 69.531 (74.868)
Epoch: [38][4870/14090]	Time 0.747 (0.764)	Data 0.001 (0.002)	Loss 2.0356 (2.2189)	Prec@1 46.094 (44.231)	Prec@5 76.562 (74.865)
Epoch: [38][4880/14090]	Time 0.744 (0.764)	Data 0.001 (0.002)	Loss 2.1750 (2.2189)	Prec@1 46.094 (44.234)	Prec@5 76.562 (74.865)
Epoch: [38][4890/14090]	Time 0.739 (0.764)	Data 0.000 (0.002)	Loss 2.0002 (2.2188)	Prec@1 50.000 (44.238)	Prec@5 76.562 (74.865)
Epoch: [38][4900/14090]	Time 0.768 (0.764)	Data 0.001 (0.002)	Loss 2.2871 (2.2190)	Prec@1 38.281 (44.232)	Prec@5 75.000 (74.862)
Epoch: [38][4910/14090]	Time 0.860 (0.764)	Data 0.001 (0.002)	Loss 2.1935 (2.2189)	Prec@1 47.656 (44.234)	Prec@5 71.875 (74.864)
Epoch: [38][4920/14090]	Time 0.768 (0.764)	Data 0.001 (0.002)	Loss 2.0101 (2.2188)	Prec@1 50.000 (44.237)	Prec@5 73.438 (74.865)
Epoch: [38][4930/14090]	Time 0.752 (0.764)	Data 0.001 (0.002)	Loss 2.5856 (2.2188)	Prec@1 36.719 (44.240)	Prec@5 67.969 (74.866)
Epoch: [38][4940/14090]	Time 0.781 (0.764)	Data 0.001 (0.002)	Loss 2.0268 (2.2187)	Prec@1 50.781 (44.242)	Prec@5 78.906 (74.864)
Epoch: [38][4950/14090]	Time 0.735 (0.764)	Data 0.001 (0.002)	Loss 2.3919 (2.2188)	Prec@1 39.062 (44.240)	Prec@5 72.656 (74.862)
Epoch: [38][4960/14090]	Time 0.759 (0.764)	Data 0.001 (0.002)	Loss 2.1750 (2.2187)	Prec@1 46.875 (44.242)	Prec@5 75.000 (74.865)
Epoch: [38][4970/14090]	Time 0.754 (0.764)	Data 0.001 (0.002)	Loss 2.3220 (2.2188)	Prec@1 40.625 (44.239)	Prec@5 75.000 (74.866)
Epoch: [38][4980/14090]	Time 0.914 (0.764)	Data 0.001 (0.002)	Loss 2.4268 (2.2189)	Prec@1 42.969 (44.238)	Prec@5 72.656 (74.865)
Epoch: [38][4990/14090]	Time 0.743 (0.764)	Data 0.001 (0.002)	Loss 2.4788 (2.2189)	Prec@1 43.750 (44.239)	Prec@5 67.188 (74.864)
Epoch: [38][5000/14090]	Time 0.754 (0.764)	Data 0.001 (0.002)	Loss 1.9954 (2.2189)	Prec@1 43.750 (44.237)	Prec@5 82.031 (74.864)
Epoch: [38][5010/14090]	Time 0.763 (0.764)	Data 0.001 (0.002)	Loss 2.2355 (2.2188)	Prec@1 45.312 (44.238)	Prec@5 73.438 (74.867)
Epoch: [38][5020/14090]	Time 0.732 (0.764)	Data 0.001 (0.002)	Loss 2.3272 (2.2188)	Prec@1 41.406 (44.240)	Prec@5 71.875 (74.867)
Epoch: [38][5030/14090]	Time 0.762 (0.764)	Data 0.001 (0.002)	Loss 2.3053 (2.2188)	Prec@1 47.656 (44.239)	Prec@5 71.094 (74.866)
Epoch: [38][5040/14090]	Time 0.770 (0.764)	Data 0.001 (0.002)	Loss 2.2359 (2.2189)	Prec@1 43.750 (44.236)	Prec@5 76.562 (74.866)
Epoch: [38][5050/14090]	Time 0.893 (0.764)	Data 0.001 (0.002)	Loss 2.2408 (2.2191)	Prec@1 44.531 (44.234)	Prec@5 75.781 (74.862)
Epoch: [38][5060/14090]	Time 0.729 (0.764)	Data 0.001 (0.002)	Loss 2.1328 (2.2189)	Prec@1 46.094 (44.239)	Prec@5 75.000 (74.865)
Epoch: [38][5070/14090]	Time 0.770 (0.764)	Data 0.001 (0.002)	Loss 2.1924 (2.2189)	Prec@1 46.875 (44.241)	Prec@5 76.562 (74.866)
Epoch: [38][5080/14090]	Time 0.756 (0.764)	Data 0.001 (0.002)	Loss 2.3121 (2.2190)	Prec@1 40.625 (44.238)	Prec@5 69.531 (74.863)
Epoch: [38][5090/14090]	Time 0.744 (0.764)	Data 0.001 (0.002)	Loss 2.0870 (2.2191)	Prec@1 46.875 (44.241)	Prec@5 78.125 (74.863)
Epoch: [38][5100/14090]	Time 0.757 (0.764)	Data 0.001 (0.002)	Loss 2.1669 (2.2191)	Prec@1 53.125 (44.244)	Prec@5 73.438 (74.860)
Epoch: [38][5110/14090]	Time 0.727 (0.764)	Data 0.001 (0.002)	Loss 2.3243 (2.2191)	Prec@1 42.969 (44.244)	Prec@5 71.094 (74.858)
Epoch: [38][5120/14090]	Time 0.837 (0.764)	Data 0.001 (0.002)	Loss 2.0362 (2.2190)	Prec@1 51.562 (44.246)	Prec@5 74.219 (74.859)
Epoch: [38][5130/14090]	Time 0.771 (0.764)	Data 0.001 (0.002)	Loss 2.2821 (2.2192)	Prec@1 42.188 (44.245)	Prec@5 74.219 (74.858)
Epoch: [38][5140/14090]	Time 0.743 (0.764)	Data 0.001 (0.002)	Loss 2.0786 (2.2192)	Prec@1 48.438 (44.245)	Prec@5 75.781 (74.859)
Epoch: [38][5150/14090]	Time 0.753 (0.764)	Data 0.001 (0.002)	Loss 2.0892 (2.2192)	Prec@1 47.656 (44.246)	Prec@5 77.344 (74.859)
Epoch: [38][5160/14090]	Time 0.731 (0.764)	Data 0.001 (0.002)	Loss 2.3590 (2.2192)	Prec@1 36.719 (44.246)	Prec@5 67.969 (74.861)
Epoch: [38][5170/14090]	Time 0.749 (0.764)	Data 0.001 (0.002)	Loss 2.3615 (2.2193)	Prec@1 45.312 (44.247)	Prec@5 68.750 (74.859)
Epoch: [38][5180/14090]	Time 0.739 (0.764)	Data 0.001 (0.002)	Loss 2.1704 (2.2193)	Prec@1 48.438 (44.247)	Prec@5 80.469 (74.862)
Epoch: [38][5190/14090]	Time 0.864 (0.764)	Data 0.001 (0.002)	Loss 2.0356 (2.2192)	Prec@1 45.312 (44.248)	Prec@5 80.469 (74.861)
Epoch: [38][5200/14090]	Time 0.766 (0.764)	Data 0.001 (0.002)	Loss 2.1590 (2.2193)	Prec@1 40.625 (44.246)	Prec@5 79.688 (74.860)
Epoch: [38][5210/14090]	Time 0.725 (0.764)	Data 0.001 (0.002)	Loss 2.3470 (2.2194)	Prec@1 39.062 (44.246)	Prec@5 71.094 (74.858)
Epoch: [38][5220/14090]	Time 0.742 (0.764)	Data 0.001 (0.002)	Loss 2.0120 (2.2194)	Prec@1 50.781 (44.245)	Prec@5 76.562 (74.856)
Epoch: [38][5230/14090]	Time 0.740 (0.764)	Data 0.001 (0.002)	Loss 2.4230 (2.2195)	Prec@1 39.844 (44.241)	Prec@5 71.094 (74.853)
Epoch: [38][5240/14090]	Time 0.745 (0.764)	Data 0.001 (0.002)	Loss 2.1210 (2.2196)	Prec@1 48.438 (44.239)	Prec@5 76.562 (74.852)
Epoch: [38][5250/14090]	Time 0.750 (0.764)	Data 0.001 (0.002)	Loss 2.2026 (2.2195)	Prec@1 41.406 (44.237)	Prec@5 78.125 (74.856)
Epoch: [38][5260/14090]	Time 0.888 (0.764)	Data 0.001 (0.002)	Loss 2.1930 (2.2198)	Prec@1 39.844 (44.231)	Prec@5 78.125 (74.852)
Epoch: [38][5270/14090]	Time 0.721 (0.764)	Data 0.001 (0.002)	Loss 2.0651 (2.2198)	Prec@1 47.656 (44.229)	Prec@5 76.562 (74.850)
Epoch: [38][5280/14090]	Time 0.732 (0.764)	Data 0.001 (0.002)	Loss 2.1353 (2.2199)	Prec@1 44.531 (44.228)	Prec@5 73.438 (74.851)
Epoch: [38][5290/14090]	Time 0.723 (0.764)	Data 0.001 (0.002)	Loss 2.2816 (2.2198)	Prec@1 47.656 (44.231)	Prec@5 76.562 (74.853)
Epoch: [38][5300/14090]	Time 0.750 (0.764)	Data 0.001 (0.002)	Loss 1.9622 (2.2198)	Prec@1 46.875 (44.231)	Prec@5 80.469 (74.854)
Epoch: [38][5310/14090]	Time 0.741 (0.764)	Data 0.001 (0.002)	Loss 2.3957 (2.2198)	Prec@1 42.969 (44.232)	Prec@5 68.750 (74.852)
Epoch: [38][5320/14090]	Time 0.761 (0.764)	Data 0.001 (0.002)	Loss 2.2735 (2.2197)	Prec@1 42.188 (44.236)	Prec@5 75.000 (74.855)
Epoch: [38][5330/14090]	Time 0.841 (0.764)	Data 0.001 (0.002)	Loss 2.4005 (2.2197)	Prec@1 40.625 (44.236)	Prec@5 71.094 (74.858)
Epoch: [38][5340/14090]	Time 0.754 (0.764)	Data 0.001 (0.002)	Loss 2.3102 (2.2198)	Prec@1 42.188 (44.235)	Prec@5 77.344 (74.857)
Epoch: [38][5350/14090]	Time 0.758 (0.764)	Data 0.001 (0.002)	Loss 2.3354 (2.2199)	Prec@1 41.406 (44.234)	Prec@5 74.219 (74.852)
Epoch: [38][5360/14090]	Time 0.780 (0.764)	Data 0.001 (0.002)	Loss 2.3853 (2.2202)	Prec@1 40.625 (44.225)	Prec@5 70.312 (74.847)
Epoch: [38][5370/14090]	Time 0.737 (0.764)	Data 0.001 (0.002)	Loss 1.8699 (2.2201)	Prec@1 49.219 (44.228)	Prec@5 77.344 (74.849)
Epoch: [38][5380/14090]	Time 0.745 (0.764)	Data 0.001 (0.002)	Loss 2.1820 (2.2200)	Prec@1 46.875 (44.231)	Prec@5 75.781 (74.850)
Epoch: [38][5390/14090]	Time 0.750 (0.764)	Data 0.001 (0.002)	Loss 2.2332 (2.2200)	Prec@1 38.281 (44.231)	Prec@5 75.000 (74.849)
Epoch: [38][5400/14090]	Time 0.874 (0.764)	Data 0.001 (0.002)	Loss 2.2046 (2.2200)	Prec@1 48.438 (44.233)	Prec@5 72.656 (74.849)
Epoch: [38][5410/14090]	Time 0.739 (0.764)	Data 0.001 (0.002)	Loss 2.4359 (2.2203)	Prec@1 41.406 (44.225)	Prec@5 67.969 (74.842)
Epoch: [38][5420/14090]	Time 0.726 (0.764)	Data 0.001 (0.002)	Loss 2.0740 (2.2203)	Prec@1 42.188 (44.223)	Prec@5 77.344 (74.842)
Epoch: [38][5430/14090]	Time 0.725 (0.764)	Data 0.001 (0.002)	Loss 2.0698 (2.2204)	Prec@1 49.219 (44.225)	Prec@5 80.469 (74.842)
Epoch: [38][5440/14090]	Time 0.757 (0.764)	Data 0.001 (0.002)	Loss 2.3201 (2.2203)	Prec@1 40.625 (44.226)	Prec@5 78.125 (74.845)
Epoch: [38][5450/14090]	Time 0.775 (0.764)	Data 0.001 (0.002)	Loss 2.1446 (2.2203)	Prec@1 44.531 (44.223)	Prec@5 81.250 (74.844)
Epoch: [38][5460/14090]	Time 0.754 (0.764)	Data 0.001 (0.002)	Loss 2.4055 (2.2204)	Prec@1 39.062 (44.220)	Prec@5 72.656 (74.843)
Epoch: [38][5470/14090]	Time 0.844 (0.764)	Data 0.001 (0.002)	Loss 2.0900 (2.2203)	Prec@1 50.000 (44.220)	Prec@5 76.562 (74.843)
Epoch: [38][5480/14090]	Time 0.762 (0.764)	Data 0.001 (0.002)	Loss 2.0787 (2.2202)	Prec@1 47.656 (44.223)	Prec@5 75.781 (74.848)
Epoch: [38][5490/14090]	Time 0.740 (0.764)	Data 0.001 (0.002)	Loss 2.1630 (2.2202)	Prec@1 45.312 (44.223)	Prec@5 75.000 (74.848)
Epoch: [38][5500/14090]	Time 0.733 (0.764)	Data 0.001 (0.002)	Loss 2.3152 (2.2202)	Prec@1 40.625 (44.222)	Prec@5 77.344 (74.848)
Epoch: [38][5510/14090]	Time 0.737 (0.764)	Data 0.001 (0.002)	Loss 2.0729 (2.2202)	Prec@1 50.000 (44.223)	Prec@5 78.906 (74.847)
Epoch: [38][5520/14090]	Time 0.764 (0.764)	Data 0.001 (0.002)	Loss 2.2327 (2.2202)	Prec@1 44.531 (44.221)	Prec@5 78.906 (74.846)
Epoch: [38][5530/14090]	Time 0.775 (0.764)	Data 0.001 (0.002)	Loss 2.2372 (2.2202)	Prec@1 44.531 (44.224)	Prec@5 76.562 (74.847)
Epoch: [38][5540/14090]	Time 0.886 (0.764)	Data 0.001 (0.002)	Loss 2.3693 (2.2201)	Prec@1 39.062 (44.228)	Prec@5 71.094 (74.848)
Epoch: [38][5550/14090]	Time 0.732 (0.764)	Data 0.001 (0.002)	Loss 1.9187 (2.2199)	Prec@1 47.656 (44.230)	Prec@5 80.469 (74.852)
Epoch: [38][5560/14090]	Time 0.753 (0.764)	Data 0.001 (0.002)	Loss 2.0570 (2.2201)	Prec@1 48.438 (44.221)	Prec@5 74.219 (74.849)
Epoch: [38][5570/14090]	Time 0.770 (0.764)	Data 0.001 (0.002)	Loss 2.1835 (2.2202)	Prec@1 40.625 (44.223)	Prec@5 78.906 (74.847)
Epoch: [38][5580/14090]	Time 0.749 (0.764)	Data 0.001 (0.002)	Loss 2.5626 (2.2203)	Prec@1 39.062 (44.220)	Prec@5 67.188 (74.844)
Epoch: [38][5590/14090]	Time 0.750 (0.764)	Data 0.001 (0.002)	Loss 2.1933 (2.2203)	Prec@1 44.531 (44.222)	Prec@5 76.562 (74.843)
Epoch: [38][5600/14090]	Time 0.749 (0.764)	Data 0.001 (0.002)	Loss 2.3402 (2.2204)	Prec@1 43.750 (44.218)	Prec@5 71.094 (74.839)
Epoch: [38][5610/14090]	Time 0.867 (0.764)	Data 0.001 (0.002)	Loss 2.1568 (2.2204)	Prec@1 51.562 (44.217)	Prec@5 74.219 (74.840)
Epoch: [38][5620/14090]	Time 0.745 (0.764)	Data 0.001 (0.002)	Loss 2.2326 (2.2206)	Prec@1 41.406 (44.213)	Prec@5 73.438 (74.835)
Epoch: [38][5630/14090]	Time 0.736 (0.764)	Data 0.001 (0.002)	Loss 1.9245 (2.2204)	Prec@1 51.562 (44.219)	Prec@5 80.469 (74.840)
Epoch: [38][5640/14090]	Time 0.766 (0.764)	Data 0.001 (0.002)	Loss 2.3846 (2.2204)	Prec@1 40.625 (44.221)	Prec@5 66.406 (74.838)
Epoch: [38][5650/14090]	Time 0.752 (0.764)	Data 0.001 (0.002)	Loss 2.1191 (2.2202)	Prec@1 47.656 (44.224)	Prec@5 77.344 (74.842)
Epoch: [38][5660/14090]	Time 0.760 (0.764)	Data 0.001 (0.002)	Loss 2.3622 (2.2203)	Prec@1 39.844 (44.224)	Prec@5 73.438 (74.840)
Epoch: [38][5670/14090]	Time 0.772 (0.764)	Data 0.001 (0.002)	Loss 2.0433 (2.2202)	Prec@1 44.531 (44.228)	Prec@5 82.031 (74.842)
Epoch: [38][5680/14090]	Time 0.876 (0.764)	Data 0.001 (0.002)	Loss 2.0868 (2.2203)	Prec@1 45.312 (44.226)	Prec@5 76.562 (74.840)
Epoch: [38][5690/14090]	Time 0.729 (0.764)	Data 0.001 (0.002)	Loss 2.2819 (2.2203)	Prec@1 46.094 (44.226)	Prec@5 77.344 (74.842)
Epoch: [38][5700/14090]	Time 0.747 (0.764)	Data 0.001 (0.002)	Loss 2.3061 (2.2202)	Prec@1 43.750 (44.228)	Prec@5 75.000 (74.844)
Epoch: [38][5710/14090]	Time 0.763 (0.764)	Data 0.001 (0.002)	Loss 2.3668 (2.2201)	Prec@1 42.188 (44.230)	Prec@5 72.656 (74.849)
Epoch: [38][5720/14090]	Time 0.765 (0.764)	Data 0.001 (0.002)	Loss 1.9876 (2.2201)	Prec@1 50.000 (44.230)	Prec@5 72.656 (74.849)
Epoch: [38][5730/14090]	Time 0.739 (0.764)	Data 0.001 (0.002)	Loss 2.3240 (2.2202)	Prec@1 39.844 (44.226)	Prec@5 73.438 (74.845)
Epoch: [38][5740/14090]	Time 0.759 (0.764)	Data 0.001 (0.002)	Loss 2.2440 (2.2201)	Prec@1 43.750 (44.230)	Prec@5 72.656 (74.847)
Epoch: [38][5750/14090]	Time 0.851 (0.764)	Data 0.001 (0.002)	Loss 2.4019 (2.2202)	Prec@1 46.094 (44.231)	Prec@5 73.438 (74.846)
Epoch: [38][5760/14090]	Time 0.742 (0.764)	Data 0.001 (0.002)	Loss 2.2911 (2.2202)	Prec@1 46.094 (44.230)	Prec@5 75.781 (74.847)
Epoch: [38][5770/14090]	Time 0.733 (0.764)	Data 0.001 (0.002)	Loss 2.5078 (2.2202)	Prec@1 36.719 (44.231)	Prec@5 67.969 (74.847)
Epoch: [38][5780/14090]	Time 0.753 (0.764)	Data 0.001 (0.002)	Loss 2.2394 (2.2202)	Prec@1 45.312 (44.234)	Prec@5 75.000 (74.848)
Epoch: [38][5790/14090]	Time 0.758 (0.764)	Data 0.001 (0.002)	Loss 2.0516 (2.2201)	Prec@1 48.438 (44.234)	Prec@5 78.125 (74.849)
Epoch: [38][5800/14090]	Time 0.753 (0.764)	Data 0.001 (0.002)	Loss 2.7075 (2.2202)	Prec@1 36.719 (44.232)	Prec@5 64.062 (74.847)
Epoch: [38][5810/14090]	Time 0.734 (0.764)	Data 0.001 (0.002)	Loss 2.1110 (2.2201)	Prec@1 43.750 (44.232)	Prec@5 78.125 (74.848)
Epoch: [38][5820/14090]	Time 0.915 (0.764)	Data 0.001 (0.002)	Loss 2.3371 (2.2201)	Prec@1 42.969 (44.230)	Prec@5 76.562 (74.847)
Epoch: [38][5830/14090]	Time 0.745 (0.764)	Data 0.001 (0.002)	Loss 2.4365 (2.2202)	Prec@1 43.750 (44.230)	Prec@5 75.000 (74.848)
Epoch: [38][5840/14090]	Time 0.731 (0.764)	Data 0.001 (0.002)	Loss 1.9465 (2.2200)	Prec@1 49.219 (44.233)	Prec@5 79.688 (74.850)
Epoch: [38][5850/14090]	Time 0.735 (0.764)	Data 0.001 (0.002)	Loss 2.1225 (2.2201)	Prec@1 45.312 (44.229)	Prec@5 75.781 (74.849)
Epoch: [38][5860/14090]	Time 0.752 (0.764)	Data 0.001 (0.002)	Loss 2.0936 (2.2201)	Prec@1 48.438 (44.228)	Prec@5 79.688 (74.848)
Epoch: [38][5870/14090]	Time 0.732 (0.764)	Data 0.001 (0.002)	Loss 2.2854 (2.2200)	Prec@1 44.531 (44.231)	Prec@5 75.000 (74.850)
Epoch: [38][5880/14090]	Time 0.759 (0.764)	Data 0.001 (0.002)	Loss 2.4145 (2.2202)	Prec@1 44.531 (44.227)	Prec@5 73.438 (74.848)
Epoch: [38][5890/14090]	Time 0.854 (0.764)	Data 0.001 (0.002)	Loss 2.2891 (2.2201)	Prec@1 43.750 (44.228)	Prec@5 71.875 (74.848)
Epoch: [38][5900/14090]	Time 0.754 (0.764)	Data 0.001 (0.002)	Loss 2.1026 (2.2203)	Prec@1 45.312 (44.226)	Prec@5 79.688 (74.846)
Epoch: [38][5910/14090]	Time 0.725 (0.764)	Data 0.001 (0.002)	Loss 2.1255 (2.2203)	Prec@1 39.062 (44.224)	Prec@5 78.906 (74.847)
Epoch: [38][5920/14090]	Time 0.740 (0.764)	Data 0.001 (0.002)	Loss 2.2570 (2.2203)	Prec@1 39.844 (44.224)	Prec@5 72.656 (74.847)
Epoch: [38][5930/14090]	Time 0.736 (0.764)	Data 0.001 (0.002)	Loss 2.1544 (2.2202)	Prec@1 39.844 (44.223)	Prec@5 76.562 (74.849)
Epoch: [38][5940/14090]	Time 0.764 (0.764)	Data 0.001 (0.002)	Loss 1.8610 (2.2202)	Prec@1 53.906 (44.226)	Prec@5 82.812 (74.851)
Epoch: [38][5950/14090]	Time 0.748 (0.764)	Data 0.001 (0.002)	Loss 2.4210 (2.2203)	Prec@1 49.219 (44.227)	Prec@5 71.875 (74.850)
Epoch: [38][5960/14090]	Time 0.844 (0.764)	Data 0.001 (0.002)	Loss 2.1736 (2.2202)	Prec@1 46.875 (44.230)	Prec@5 76.562 (74.852)
Epoch: [38][5970/14090]	Time 0.735 (0.764)	Data 0.001 (0.002)	Loss 2.3218 (2.2203)	Prec@1 40.625 (44.227)	Prec@5 68.750 (74.851)
Epoch: [38][5980/14090]	Time 0.751 (0.764)	Data 0.001 (0.002)	Loss 2.0690 (2.2205)	Prec@1 52.344 (44.223)	Prec@5 78.125 (74.849)
Epoch: [38][5990/14090]	Time 0.749 (0.764)	Data 0.001 (0.002)	Loss 2.4412 (2.2204)	Prec@1 36.719 (44.222)	Prec@5 74.219 (74.852)
Epoch: [38][6000/14090]	Time 0.740 (0.764)	Data 0.001 (0.002)	Loss 1.9434 (2.2204)	Prec@1 46.094 (44.222)	Prec@5 80.469 (74.852)
Epoch: [38][6010/14090]	Time 0.757 (0.764)	Data 0.001 (0.002)	Loss 1.9033 (2.2204)	Prec@1 53.125 (44.221)	Prec@5 77.344 (74.851)
Epoch: [38][6020/14090]	Time 0.756 (0.764)	Data 0.001 (0.002)	Loss 2.3740 (2.2204)	Prec@1 43.750 (44.222)	Prec@5 74.219 (74.851)
Epoch: [38][6030/14090]	Time 0.842 (0.764)	Data 0.001 (0.002)	Loss 2.0102 (2.2203)	Prec@1 45.312 (44.222)	Prec@5 83.594 (74.853)
Epoch: [38][6040/14090]	Time 0.734 (0.764)	Data 0.001 (0.002)	Loss 2.6798 (2.2203)	Prec@1 35.156 (44.223)	Prec@5 66.406 (74.854)
Epoch: [38][6050/14090]	Time 0.743 (0.764)	Data 0.001 (0.002)	Loss 2.3061 (2.2202)	Prec@1 48.438 (44.227)	Prec@5 75.000 (74.859)
Epoch: [38][6060/14090]	Time 0.756 (0.764)	Data 0.001 (0.002)	Loss 2.2033 (2.2202)	Prec@1 45.312 (44.229)	Prec@5 73.438 (74.859)
Epoch: [38][6070/14090]	Time 0.764 (0.764)	Data 0.001 (0.002)	Loss 2.0921 (2.2201)	Prec@1 48.438 (44.229)	Prec@5 72.656 (74.858)
Epoch: [38][6080/14090]	Time 0.737 (0.764)	Data 0.001 (0.002)	Loss 2.1976 (2.2201)	Prec@1 49.219 (44.230)	Prec@5 74.219 (74.858)
Epoch: [38][6090/14090]	Time 0.757 (0.764)	Data 0.001 (0.002)	Loss 2.4235 (2.2201)	Prec@1 44.531 (44.228)	Prec@5 71.094 (74.857)
Epoch: [38][6100/14090]	Time 0.856 (0.764)	Data 0.001 (0.002)	Loss 2.1299 (2.2202)	Prec@1 48.438 (44.226)	Prec@5 73.438 (74.853)
Epoch: [38][6110/14090]	Time 0.760 (0.764)	Data 0.001 (0.002)	Loss 2.5029 (2.2204)	Prec@1 37.500 (44.221)	Prec@5 70.312 (74.849)
Epoch: [38][6120/14090]	Time 0.750 (0.764)	Data 0.001 (0.002)	Loss 2.0728 (2.2204)	Prec@1 50.000 (44.220)	Prec@5 76.562 (74.850)
Epoch: [38][6130/14090]	Time 0.752 (0.764)	Data 0.001 (0.002)	Loss 2.2458 (2.2203)	Prec@1 41.406 (44.224)	Prec@5 71.094 (74.851)
Epoch: [38][6140/14090]	Time 0.725 (0.764)	Data 0.001 (0.002)	Loss 2.2489 (2.2203)	Prec@1 46.875 (44.222)	Prec@5 74.219 (74.850)
Epoch: [38][6150/14090]	Time 0.744 (0.764)	Data 0.001 (0.002)	Loss 1.9626 (2.2204)	Prec@1 53.906 (44.218)	Prec@5 76.562 (74.849)
Epoch: [38][6160/14090]	Time 0.736 (0.764)	Data 0.001 (0.002)	Loss 2.1439 (2.2203)	Prec@1 43.750 (44.220)	Prec@5 78.125 (74.851)
Epoch: [38][6170/14090]	Time 0.875 (0.764)	Data 0.001 (0.002)	Loss 2.4024 (2.2204)	Prec@1 40.625 (44.221)	Prec@5 75.000 (74.849)
Epoch: [38][6180/14090]	Time 0.726 (0.764)	Data 0.001 (0.002)	Loss 2.4828 (2.2204)	Prec@1 41.406 (44.221)	Prec@5 71.094 (74.850)
Epoch: [38][6190/14090]	Time 0.744 (0.764)	Data 0.001 (0.002)	Loss 2.4434 (2.2206)	Prec@1 44.531 (44.220)	Prec@5 69.531 (74.846)
Epoch: [38][6200/14090]	Time 0.758 (0.764)	Data 0.001 (0.002)	Loss 2.3213 (2.2205)	Prec@1 45.312 (44.221)	Prec@5 71.094 (74.849)
Epoch: [38][6210/14090]	Time 0.725 (0.764)	Data 0.001 (0.002)	Loss 2.1989 (2.2206)	Prec@1 42.188 (44.219)	Prec@5 72.656 (74.849)
Epoch: [38][6220/14090]	Time 0.762 (0.764)	Data 0.001 (0.002)	Loss 1.9252 (2.2205)	Prec@1 49.219 (44.220)	Prec@5 78.906 (74.850)
Epoch: [38][6230/14090]	Time 0.754 (0.764)	Data 0.001 (0.002)	Loss 2.3257 (2.2206)	Prec@1 42.188 (44.221)	Prec@5 74.219 (74.848)
Epoch: [38][6240/14090]	Time 0.826 (0.764)	Data 0.001 (0.002)	Loss 2.4277 (2.2205)	Prec@1 44.531 (44.226)	Prec@5 71.875 (74.850)
Epoch: [38][6250/14090]	Time 0.756 (0.764)	Data 0.001 (0.002)	Loss 2.1400 (2.2204)	Prec@1 39.844 (44.225)	Prec@5 75.000 (74.852)
Epoch: [38][6260/14090]	Time 0.727 (0.764)	Data 0.001 (0.002)	Loss 2.2424 (2.2204)	Prec@1 42.188 (44.222)	Prec@5 74.219 (74.853)
Epoch: [38][6270/14090]	Time 0.775 (0.764)	Data 0.001 (0.002)	Loss 2.4524 (2.2204)	Prec@1 39.062 (44.224)	Prec@5 67.969 (74.852)
Epoch: [38][6280/14090]	Time 0.750 (0.764)	Data 0.001 (0.002)	Loss 2.2937 (2.2204)	Prec@1 39.844 (44.222)	Prec@5 73.438 (74.851)
Epoch: [38][6290/14090]	Time 0.753 (0.764)	Data 0.001 (0.002)	Loss 1.9779 (2.2203)	Prec@1 55.469 (44.225)	Prec@5 77.344 (74.853)
Epoch: [38][6300/14090]	Time 0.740 (0.764)	Data 0.001 (0.002)	Loss 2.4274 (2.2204)	Prec@1 44.531 (44.224)	Prec@5 77.344 (74.852)
Epoch: [38][6310/14090]	Time 0.853 (0.764)	Data 0.001 (0.002)	Loss 2.1095 (2.2205)	Prec@1 44.531 (44.220)	Prec@5 73.438 (74.852)
Epoch: [38][6320/14090]	Time 0.744 (0.764)	Data 0.001 (0.002)	Loss 2.3473 (2.2205)	Prec@1 42.969 (44.219)	Prec@5 74.219 (74.849)
Epoch: [38][6330/14090]	Time 0.749 (0.764)	Data 0.001 (0.002)	Loss 2.1024 (2.2205)	Prec@1 46.094 (44.221)	Prec@5 76.562 (74.850)
Epoch: [38][6340/14090]	Time 0.744 (0.764)	Data 0.001 (0.002)	Loss 2.1928 (2.2205)	Prec@1 41.406 (44.222)	Prec@5 75.781 (74.848)
Epoch: [38][6350/14090]	Time 0.723 (0.764)	Data 0.001 (0.002)	Loss 2.1318 (2.2205)	Prec@1 42.188 (44.223)	Prec@5 75.781 (74.850)
Epoch: [38][6360/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 1.9151 (2.2203)	Prec@1 51.562 (44.227)	Prec@5 79.688 (74.853)
Epoch: [38][6370/14090]	Time 0.736 (0.764)	Data 0.001 (0.001)	Loss 2.2037 (2.2204)	Prec@1 43.750 (44.224)	Prec@5 75.781 (74.853)
Epoch: [38][6380/14090]	Time 0.850 (0.764)	Data 0.001 (0.001)	Loss 2.5186 (2.2205)	Prec@1 38.281 (44.222)	Prec@5 71.875 (74.851)
Epoch: [38][6390/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 2.0997 (2.2204)	Prec@1 49.219 (44.222)	Prec@5 71.094 (74.852)
Epoch: [38][6400/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 2.1091 (2.2203)	Prec@1 42.969 (44.221)	Prec@5 77.344 (74.854)
Epoch: [38][6410/14090]	Time 0.745 (0.764)	Data 0.001 (0.001)	Loss 2.4959 (2.2203)	Prec@1 33.594 (44.220)	Prec@5 70.312 (74.852)
Epoch: [38][6420/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 2.2193 (2.2203)	Prec@1 38.281 (44.219)	Prec@5 76.562 (74.852)
Epoch: [38][6430/14090]	Time 0.779 (0.764)	Data 0.001 (0.001)	Loss 2.4057 (2.2203)	Prec@1 39.062 (44.221)	Prec@5 70.312 (74.853)
Epoch: [38][6440/14090]	Time 0.758 (0.764)	Data 0.001 (0.001)	Loss 2.3340 (2.2203)	Prec@1 42.969 (44.219)	Prec@5 71.094 (74.851)
Epoch: [38][6450/14090]	Time 0.892 (0.764)	Data 0.001 (0.001)	Loss 2.1046 (2.2204)	Prec@1 45.312 (44.216)	Prec@5 76.562 (74.848)
Epoch: [38][6460/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.0248 (2.2203)	Prec@1 42.188 (44.220)	Prec@5 81.250 (74.850)
Epoch: [38][6470/14090]	Time 0.758 (0.764)	Data 0.001 (0.001)	Loss 2.4078 (2.2203)	Prec@1 39.844 (44.219)	Prec@5 70.312 (74.850)
Epoch: [38][6480/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 2.3824 (2.2203)	Prec@1 42.188 (44.218)	Prec@5 67.969 (74.851)
Epoch: [38][6490/14090]	Time 0.728 (0.764)	Data 0.001 (0.001)	Loss 2.1926 (2.2202)	Prec@1 45.312 (44.218)	Prec@5 71.875 (74.849)
Epoch: [38][6500/14090]	Time 0.733 (0.764)	Data 0.001 (0.001)	Loss 2.4221 (2.2203)	Prec@1 41.406 (44.217)	Prec@5 70.312 (74.848)
Epoch: [38][6510/14090]	Time 0.739 (0.764)	Data 0.001 (0.001)	Loss 2.4095 (2.2204)	Prec@1 43.750 (44.216)	Prec@5 67.969 (74.848)
Epoch: [38][6520/14090]	Time 0.859 (0.764)	Data 0.001 (0.001)	Loss 2.1438 (2.2203)	Prec@1 46.094 (44.216)	Prec@5 77.344 (74.849)
Epoch: [38][6530/14090]	Time 0.746 (0.764)	Data 0.001 (0.001)	Loss 2.4360 (2.2204)	Prec@1 37.500 (44.216)	Prec@5 71.094 (74.848)
Epoch: [38][6540/14090]	Time 0.760 (0.764)	Data 0.001 (0.001)	Loss 2.1193 (2.2203)	Prec@1 50.781 (44.218)	Prec@5 78.125 (74.851)
Epoch: [38][6550/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.5327 (2.2203)	Prec@1 39.844 (44.217)	Prec@5 71.094 (74.852)
Epoch: [38][6560/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 2.4270 (2.2205)	Prec@1 44.531 (44.216)	Prec@5 71.094 (74.850)
Epoch: [38][6570/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 2.2528 (2.2204)	Prec@1 42.969 (44.216)	Prec@5 70.312 (74.850)
Epoch: [38][6580/14090]	Time 0.744 (0.764)	Data 0.001 (0.001)	Loss 2.1486 (2.2204)	Prec@1 46.875 (44.215)	Prec@5 77.344 (74.852)
Epoch: [38][6590/14090]	Time 0.871 (0.764)	Data 0.001 (0.001)	Loss 2.0706 (2.2204)	Prec@1 46.094 (44.216)	Prec@5 76.562 (74.850)
Epoch: [38][6600/14090]	Time 0.765 (0.764)	Data 0.001 (0.001)	Loss 2.2188 (2.2204)	Prec@1 46.094 (44.216)	Prec@5 77.344 (74.850)
Epoch: [38][6610/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.2296 (2.2204)	Prec@1 44.531 (44.216)	Prec@5 74.219 (74.851)
Epoch: [38][6620/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 2.0835 (2.2204)	Prec@1 46.875 (44.217)	Prec@5 76.562 (74.850)
Epoch: [38][6630/14090]	Time 0.743 (0.764)	Data 0.001 (0.001)	Loss 2.4001 (2.2204)	Prec@1 41.406 (44.217)	Prec@5 68.750 (74.850)
Epoch: [38][6640/14090]	Time 0.719 (0.764)	Data 0.001 (0.001)	Loss 2.2581 (2.2205)	Prec@1 39.062 (44.216)	Prec@5 71.875 (74.848)
Epoch: [38][6650/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 2.2235 (2.2205)	Prec@1 45.312 (44.218)	Prec@5 75.781 (74.851)
Epoch: [38][6660/14090]	Time 0.869 (0.764)	Data 0.001 (0.001)	Loss 2.2205 (2.2205)	Prec@1 42.188 (44.219)	Prec@5 71.094 (74.850)
Epoch: [38][6670/14090]	Time 0.726 (0.764)	Data 0.001 (0.001)	Loss 2.1202 (2.2206)	Prec@1 49.219 (44.213)	Prec@5 81.250 (74.851)
Epoch: [38][6680/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 2.2218 (2.2206)	Prec@1 46.875 (44.213)	Prec@5 71.094 (74.851)
Epoch: [38][6690/14090]	Time 0.722 (0.764)	Data 0.001 (0.001)	Loss 2.3728 (2.2207)	Prec@1 44.531 (44.211)	Prec@5 65.625 (74.848)
Epoch: [38][6700/14090]	Time 0.764 (0.764)	Data 0.001 (0.001)	Loss 2.4408 (2.2207)	Prec@1 43.750 (44.211)	Prec@5 73.438 (74.848)
Epoch: [38][6710/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 2.2403 (2.2207)	Prec@1 43.750 (44.209)	Prec@5 77.344 (74.851)
Epoch: [38][6720/14090]	Time 0.778 (0.764)	Data 0.001 (0.001)	Loss 2.2035 (2.2207)	Prec@1 45.312 (44.210)	Prec@5 71.875 (74.849)
Epoch: [38][6730/14090]	Time 0.851 (0.764)	Data 0.001 (0.001)	Loss 2.0421 (2.2208)	Prec@1 49.219 (44.210)	Prec@5 75.000 (74.845)
Epoch: [38][6740/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 2.1460 (2.2207)	Prec@1 47.656 (44.208)	Prec@5 75.781 (74.844)
Epoch: [38][6750/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 2.2056 (2.2208)	Prec@1 43.750 (44.208)	Prec@5 75.781 (74.844)
Epoch: [38][6760/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 2.3743 (2.2208)	Prec@1 44.531 (44.208)	Prec@5 74.219 (74.845)
Epoch: [38][6770/14090]	Time 0.732 (0.764)	Data 0.001 (0.001)	Loss 2.4587 (2.2209)	Prec@1 41.406 (44.208)	Prec@5 74.219 (74.843)
Epoch: [38][6780/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.2245 (2.2209)	Prec@1 39.062 (44.208)	Prec@5 78.125 (74.845)
Epoch: [38][6790/14090]	Time 0.769 (0.764)	Data 0.001 (0.001)	Loss 2.1973 (2.2209)	Prec@1 42.969 (44.208)	Prec@5 79.688 (74.845)
Epoch: [38][6800/14090]	Time 0.993 (0.764)	Data 0.001 (0.001)	Loss 2.2531 (2.2209)	Prec@1 46.875 (44.210)	Prec@5 77.344 (74.845)
Epoch: [38][6810/14090]	Time 0.723 (0.764)	Data 0.001 (0.001)	Loss 2.1568 (2.2209)	Prec@1 42.188 (44.210)	Prec@5 80.469 (74.845)
Epoch: [38][6820/14090]	Time 0.734 (0.764)	Data 0.001 (0.001)	Loss 2.1488 (2.2208)	Prec@1 44.531 (44.211)	Prec@5 74.219 (74.847)
Epoch: [38][6830/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 2.4524 (2.2208)	Prec@1 44.531 (44.211)	Prec@5 75.000 (74.848)
Epoch: [38][6840/14090]	Time 0.729 (0.764)	Data 0.001 (0.001)	Loss 2.0184 (2.2208)	Prec@1 46.094 (44.209)	Prec@5 80.469 (74.850)
Epoch: [38][6850/14090]	Time 0.730 (0.764)	Data 0.001 (0.001)	Loss 2.1253 (2.2209)	Prec@1 46.875 (44.207)	Prec@5 76.562 (74.849)
Epoch: [38][6860/14090]	Time 0.765 (0.764)	Data 0.001 (0.001)	Loss 2.3968 (2.2209)	Prec@1 40.625 (44.208)	Prec@5 68.750 (74.848)
Epoch: [38][6870/14090]	Time 0.874 (0.764)	Data 0.001 (0.001)	Loss 2.1999 (2.2208)	Prec@1 47.656 (44.211)	Prec@5 75.000 (74.850)
Epoch: [38][6880/14090]	Time 0.730 (0.764)	Data 0.001 (0.001)	Loss 2.1771 (2.2208)	Prec@1 49.219 (44.212)	Prec@5 74.219 (74.851)
Epoch: [38][6890/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 2.1942 (2.2208)	Prec@1 44.531 (44.209)	Prec@5 77.344 (74.847)
Epoch: [38][6900/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 2.4011 (2.2209)	Prec@1 40.625 (44.209)	Prec@5 74.219 (74.846)
Epoch: [38][6910/14090]	Time 0.765 (0.764)	Data 0.001 (0.001)	Loss 2.3007 (2.2209)	Prec@1 46.094 (44.208)	Prec@5 78.125 (74.846)
Epoch: [38][6920/14090]	Time 0.729 (0.764)	Data 0.001 (0.001)	Loss 2.0165 (2.2209)	Prec@1 47.656 (44.208)	Prec@5 78.125 (74.846)
Epoch: [38][6930/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 2.0474 (2.2210)	Prec@1 48.438 (44.209)	Prec@5 75.000 (74.844)
Epoch: [38][6940/14090]	Time 0.899 (0.764)	Data 0.001 (0.001)	Loss 2.2081 (2.2210)	Prec@1 43.750 (44.209)	Prec@5 75.000 (74.845)
Epoch: [38][6950/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 2.2243 (2.2210)	Prec@1 42.188 (44.207)	Prec@5 77.344 (74.844)
Epoch: [38][6960/14090]	Time 0.728 (0.764)	Data 0.001 (0.001)	Loss 2.4396 (2.2211)	Prec@1 42.188 (44.202)	Prec@5 70.312 (74.844)
Epoch: [38][6970/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 2.1921 (2.2212)	Prec@1 44.531 (44.199)	Prec@5 76.562 (74.843)
Epoch: [38][6980/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 2.2890 (2.2212)	Prec@1 41.406 (44.202)	Prec@5 74.219 (74.844)
Epoch: [38][6990/14090]	Time 0.736 (0.764)	Data 0.001 (0.001)	Loss 2.0988 (2.2212)	Prec@1 42.188 (44.199)	Prec@5 78.906 (74.845)
Epoch: [38][7000/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 2.3062 (2.2212)	Prec@1 47.656 (44.198)	Prec@5 71.875 (74.843)
Epoch: [38][7010/14090]	Time 0.873 (0.764)	Data 0.001 (0.001)	Loss 2.2255 (2.2211)	Prec@1 39.844 (44.200)	Prec@5 72.656 (74.845)
Epoch: [38][7020/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 2.3187 (2.2212)	Prec@1 42.969 (44.200)	Prec@5 74.219 (74.845)
Epoch: [38][7030/14090]	Time 0.745 (0.764)	Data 0.001 (0.001)	Loss 2.2622 (2.2212)	Prec@1 42.188 (44.197)	Prec@5 75.000 (74.846)
Epoch: [38][7040/14090]	Time 0.727 (0.764)	Data 0.001 (0.001)	Loss 2.5182 (2.2214)	Prec@1 35.938 (44.191)	Prec@5 64.844 (74.842)
Epoch: [38][7050/14090]	Time 0.772 (0.764)	Data 0.001 (0.001)	Loss 1.9268 (2.2214)	Prec@1 50.000 (44.193)	Prec@5 78.906 (74.842)
Epoch: [38][7060/14090]	Time 0.744 (0.764)	Data 0.001 (0.001)	Loss 2.2900 (2.2214)	Prec@1 40.625 (44.191)	Prec@5 72.656 (74.842)
Epoch: [38][7070/14090]	Time 0.739 (0.764)	Data 0.001 (0.001)	Loss 2.2676 (2.2215)	Prec@1 46.094 (44.189)	Prec@5 76.562 (74.841)
Epoch: [38][7080/14090]	Time 0.878 (0.764)	Data 0.001 (0.001)	Loss 2.3602 (2.2215)	Prec@1 42.188 (44.189)	Prec@5 72.656 (74.842)
Epoch: [38][7090/14090]	Time 0.746 (0.764)	Data 0.001 (0.001)	Loss 2.4491 (2.2216)	Prec@1 37.500 (44.184)	Prec@5 69.531 (74.839)
Epoch: [38][7100/14090]	Time 0.748 (0.764)	Data 0.001 (0.001)	Loss 2.5434 (2.2216)	Prec@1 38.281 (44.186)	Prec@5 73.438 (74.838)
Epoch: [38][7110/14090]	Time 0.759 (0.764)	Data 0.001 (0.001)	Loss 2.0947 (2.2216)	Prec@1 42.188 (44.185)	Prec@5 75.781 (74.838)
Epoch: [38][7120/14090]	Time 0.736 (0.764)	Data 0.001 (0.001)	Loss 2.0334 (2.2216)	Prec@1 46.875 (44.185)	Prec@5 82.031 (74.838)
Epoch: [38][7130/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 2.5245 (2.2216)	Prec@1 38.281 (44.183)	Prec@5 71.875 (74.838)
Epoch: [38][7140/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 2.3609 (2.2217)	Prec@1 41.406 (44.182)	Prec@5 70.312 (74.837)
Epoch: [38][7150/14090]	Time 0.834 (0.764)	Data 0.001 (0.001)	Loss 2.1426 (2.2216)	Prec@1 44.531 (44.184)	Prec@5 75.781 (74.838)
Epoch: [38][7160/14090]	Time 0.746 (0.764)	Data 0.001 (0.001)	Loss 2.2774 (2.2216)	Prec@1 39.062 (44.183)	Prec@5 76.562 (74.837)
Epoch: [38][7170/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 2.0816 (2.2216)	Prec@1 42.188 (44.182)	Prec@5 78.906 (74.838)
Epoch: [38][7180/14090]	Time 0.783 (0.764)	Data 0.001 (0.001)	Loss 2.2746 (2.2217)	Prec@1 46.875 (44.180)	Prec@5 71.875 (74.836)
Epoch: [38][7190/14090]	Time 0.758 (0.764)	Data 0.001 (0.001)	Loss 2.2933 (2.2217)	Prec@1 40.625 (44.178)	Prec@5 71.094 (74.837)
Epoch: [38][7200/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 2.6640 (2.2217)	Prec@1 37.500 (44.179)	Prec@5 67.969 (74.838)
Epoch: [38][7210/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 1.9914 (2.2216)	Prec@1 50.000 (44.177)	Prec@5 78.906 (74.838)
Epoch: [38][7220/14090]	Time 0.854 (0.764)	Data 0.001 (0.001)	Loss 2.3800 (2.2215)	Prec@1 39.844 (44.181)	Prec@5 67.188 (74.838)
Epoch: [38][7230/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 2.3044 (2.2213)	Prec@1 42.969 (44.185)	Prec@5 75.000 (74.842)
Epoch: [38][7240/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 2.5517 (2.2214)	Prec@1 35.156 (44.184)	Prec@5 65.625 (74.840)
Epoch: [38][7250/14090]	Time 0.732 (0.764)	Data 0.001 (0.001)	Loss 2.3305 (2.2216)	Prec@1 41.406 (44.181)	Prec@5 72.656 (74.838)
Epoch: [38][7260/14090]	Time 0.762 (0.764)	Data 0.001 (0.001)	Loss 2.2772 (2.2215)	Prec@1 43.750 (44.181)	Prec@5 71.875 (74.836)
Epoch: [38][7270/14090]	Time 0.759 (0.764)	Data 0.001 (0.001)	Loss 2.3761 (2.2216)	Prec@1 38.281 (44.180)	Prec@5 71.875 (74.833)
Epoch: [38][7280/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 2.3923 (2.2216)	Prec@1 42.969 (44.180)	Prec@5 67.188 (74.832)
Epoch: [38][7290/14090]	Time 0.830 (0.764)	Data 0.001 (0.001)	Loss 2.1900 (2.2216)	Prec@1 40.625 (44.180)	Prec@5 75.000 (74.831)
Epoch: [38][7300/14090]	Time 0.760 (0.764)	Data 0.001 (0.001)	Loss 2.4225 (2.2217)	Prec@1 36.719 (44.179)	Prec@5 74.219 (74.827)
Epoch: [38][7310/14090]	Time 0.729 (0.764)	Data 0.001 (0.001)	Loss 2.0060 (2.2216)	Prec@1 50.781 (44.179)	Prec@5 78.125 (74.828)
Epoch: [38][7320/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 2.0385 (2.2216)	Prec@1 39.062 (44.179)	Prec@5 78.906 (74.831)
Epoch: [38][7330/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 2.2428 (2.2216)	Prec@1 41.406 (44.179)	Prec@5 75.781 (74.832)
Epoch: [38][7340/14090]	Time 0.727 (0.764)	Data 0.001 (0.001)	Loss 2.2475 (2.2216)	Prec@1 41.406 (44.179)	Prec@5 73.438 (74.832)
Epoch: [38][7350/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 2.0625 (2.2216)	Prec@1 46.094 (44.178)	Prec@5 76.562 (74.832)
Epoch: [38][7360/14090]	Time 0.844 (0.764)	Data 0.001 (0.001)	Loss 2.2340 (2.2216)	Prec@1 42.969 (44.178)	Prec@5 71.875 (74.831)
Epoch: [38][7370/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 2.1170 (2.2216)	Prec@1 43.750 (44.181)	Prec@5 78.125 (74.833)
Epoch: [38][7380/14090]	Time 0.767 (0.764)	Data 0.001 (0.001)	Loss 2.0314 (2.2215)	Prec@1 46.875 (44.182)	Prec@5 78.906 (74.834)
Epoch: [38][7390/14090]	Time 0.732 (0.764)	Data 0.001 (0.001)	Loss 2.2805 (2.2216)	Prec@1 46.094 (44.180)	Prec@5 75.781 (74.834)
Epoch: [38][7400/14090]	Time 0.739 (0.764)	Data 0.001 (0.001)	Loss 1.9800 (2.2216)	Prec@1 49.219 (44.177)	Prec@5 78.906 (74.834)
Epoch: [38][7410/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 2.1997 (2.2215)	Prec@1 45.312 (44.177)	Prec@5 75.000 (74.834)
Epoch: [38][7420/14090]	Time 0.774 (0.764)	Data 0.001 (0.001)	Loss 2.2213 (2.2215)	Prec@1 47.656 (44.178)	Prec@5 75.000 (74.835)
Epoch: [38][7430/14090]	Time 0.838 (0.764)	Data 0.001 (0.001)	Loss 2.3134 (2.2215)	Prec@1 41.406 (44.176)	Prec@5 71.094 (74.834)
Epoch: [38][7440/14090]	Time 0.764 (0.764)	Data 0.001 (0.001)	Loss 2.2498 (2.2215)	Prec@1 42.969 (44.176)	Prec@5 74.219 (74.835)
Epoch: [38][7450/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 2.2362 (2.2215)	Prec@1 46.875 (44.176)	Prec@5 78.125 (74.837)
Epoch: [38][7460/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 2.1626 (2.2215)	Prec@1 46.094 (44.174)	Prec@5 75.000 (74.835)
Epoch: [38][7470/14090]	Time 0.721 (0.764)	Data 0.001 (0.001)	Loss 2.5096 (2.2215)	Prec@1 39.062 (44.174)	Prec@5 71.875 (74.835)
Epoch: [38][7480/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 2.0718 (2.2216)	Prec@1 45.312 (44.176)	Prec@5 80.469 (74.834)
Epoch: [38][7490/14090]	Time 0.766 (0.764)	Data 0.001 (0.001)	Loss 2.0935 (2.2216)	Prec@1 48.438 (44.177)	Prec@5 78.125 (74.834)
Epoch: [38][7500/14090]	Time 0.868 (0.764)	Data 0.001 (0.001)	Loss 2.2711 (2.2216)	Prec@1 39.062 (44.177)	Prec@5 75.781 (74.834)
Epoch: [38][7510/14090]	Time 0.730 (0.764)	Data 0.001 (0.001)	Loss 2.3133 (2.2216)	Prec@1 36.719 (44.177)	Prec@5 74.219 (74.833)
Epoch: [38][7520/14090]	Time 0.744 (0.764)	Data 0.001 (0.001)	Loss 2.2870 (2.2215)	Prec@1 42.188 (44.176)	Prec@5 72.656 (74.834)
Epoch: [38][7530/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 2.3694 (2.2215)	Prec@1 43.750 (44.178)	Prec@5 70.312 (74.834)
Epoch: [38][7540/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 1.9158 (2.2215)	Prec@1 50.781 (44.177)	Prec@5 81.250 (74.833)
Epoch: [38][7550/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 2.2243 (2.2216)	Prec@1 44.531 (44.177)	Prec@5 71.875 (74.831)
Epoch: [38][7560/14090]	Time 0.764 (0.764)	Data 0.001 (0.001)	Loss 2.2968 (2.2217)	Prec@1 42.188 (44.176)	Prec@5 74.219 (74.828)
Epoch: [38][7570/14090]	Time 0.868 (0.764)	Data 0.001 (0.001)	Loss 2.2906 (2.2217)	Prec@1 46.094 (44.177)	Prec@5 75.000 (74.828)
Epoch: [38][7580/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 2.0147 (2.2217)	Prec@1 50.781 (44.177)	Prec@5 75.000 (74.829)
Epoch: [38][7590/14090]	Time 0.768 (0.764)	Data 0.001 (0.001)	Loss 2.4392 (2.2217)	Prec@1 42.188 (44.176)	Prec@5 70.312 (74.826)
Epoch: [38][7600/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 2.4412 (2.2217)	Prec@1 40.625 (44.178)	Prec@5 72.656 (74.827)
Epoch: [38][7610/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 2.3102 (2.2216)	Prec@1 43.750 (44.179)	Prec@5 68.750 (74.828)
Epoch: [38][7620/14090]	Time 0.736 (0.764)	Data 0.001 (0.001)	Loss 2.0818 (2.2217)	Prec@1 50.781 (44.178)	Prec@5 73.438 (74.827)
Epoch: [38][7630/14090]	Time 0.761 (0.764)	Data 0.001 (0.001)	Loss 2.1862 (2.2218)	Prec@1 49.219 (44.177)	Prec@5 74.219 (74.823)
Epoch: [38][7640/14090]	Time 0.828 (0.764)	Data 0.001 (0.001)	Loss 2.2563 (2.2217)	Prec@1 47.656 (44.179)	Prec@5 74.219 (74.826)
Epoch: [38][7650/14090]	Time 0.766 (0.764)	Data 0.001 (0.001)	Loss 2.2856 (2.2218)	Prec@1 42.188 (44.180)	Prec@5 74.219 (74.825)
Epoch: [38][7660/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 2.1297 (2.2218)	Prec@1 50.000 (44.180)	Prec@5 76.562 (74.825)
Epoch: [38][7670/14090]	Time 0.745 (0.764)	Data 0.001 (0.001)	Loss 2.4273 (2.2219)	Prec@1 38.281 (44.178)	Prec@5 72.656 (74.821)
Epoch: [38][7680/14090]	Time 0.740 (0.764)	Data 0.001 (0.001)	Loss 2.2062 (2.2219)	Prec@1 48.438 (44.180)	Prec@5 73.438 (74.821)
Epoch: [38][7690/14090]	Time 0.730 (0.764)	Data 0.001 (0.001)	Loss 2.2786 (2.2219)	Prec@1 40.625 (44.179)	Prec@5 75.000 (74.820)
Epoch: [38][7700/14090]	Time 0.733 (0.764)	Data 0.001 (0.001)	Loss 2.3054 (2.2220)	Prec@1 42.969 (44.178)	Prec@5 75.000 (74.819)
Epoch: [38][7710/14090]	Time 0.841 (0.764)	Data 0.001 (0.001)	Loss 2.2724 (2.2221)	Prec@1 40.625 (44.176)	Prec@5 75.781 (74.816)
Epoch: [38][7720/14090]	Time 0.730 (0.764)	Data 0.001 (0.001)	Loss 2.0618 (2.2222)	Prec@1 47.656 (44.174)	Prec@5 75.781 (74.814)
Epoch: [38][7730/14090]	Time 0.727 (0.764)	Data 0.001 (0.001)	Loss 2.1911 (2.2221)	Prec@1 46.094 (44.177)	Prec@5 74.219 (74.814)
Epoch: [38][7740/14090]	Time 0.768 (0.764)	Data 0.001 (0.001)	Loss 2.2320 (2.2221)	Prec@1 43.750 (44.178)	Prec@5 70.312 (74.814)
Epoch: [38][7750/14090]	Time 0.768 (0.764)	Data 0.001 (0.001)	Loss 2.0965 (2.2222)	Prec@1 48.438 (44.178)	Prec@5 78.906 (74.811)
Epoch: [38][7760/14090]	Time 0.735 (0.764)	Data 0.001 (0.001)	Loss 2.2765 (2.2222)	Prec@1 39.844 (44.178)	Prec@5 75.000 (74.811)
Epoch: [38][7770/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 2.2246 (2.2220)	Prec@1 40.625 (44.180)	Prec@5 77.344 (74.815)
Epoch: [38][7780/14090]	Time 0.905 (0.764)	Data 0.001 (0.001)	Loss 2.1283 (2.2220)	Prec@1 46.094 (44.179)	Prec@5 77.344 (74.814)
Epoch: [38][7790/14090]	Time 0.744 (0.764)	Data 0.001 (0.001)	Loss 2.0868 (2.2220)	Prec@1 48.438 (44.179)	Prec@5 75.781 (74.812)
Epoch: [38][7800/14090]	Time 0.726 (0.764)	Data 0.001 (0.001)	Loss 2.2597 (2.2220)	Prec@1 43.750 (44.178)	Prec@5 78.125 (74.814)
Epoch: [38][7810/14090]	Time 0.734 (0.764)	Data 0.001 (0.001)	Loss 2.3182 (2.2222)	Prec@1 44.531 (44.173)	Prec@5 75.781 (74.811)
Epoch: [38][7820/14090]	Time 0.730 (0.764)	Data 0.001 (0.001)	Loss 2.3827 (2.2222)	Prec@1 40.625 (44.173)	Prec@5 72.656 (74.812)
Epoch: [38][7830/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 2.1345 (2.2222)	Prec@1 42.969 (44.173)	Prec@5 78.125 (74.812)
Epoch: [38][7840/14090]	Time 0.726 (0.764)	Data 0.001 (0.001)	Loss 2.3802 (2.2223)	Prec@1 39.062 (44.169)	Prec@5 71.875 (74.810)
Epoch: [38][7850/14090]	Time 0.888 (0.764)	Data 0.001 (0.001)	Loss 2.4258 (2.2223)	Prec@1 41.406 (44.170)	Prec@5 70.312 (74.809)
Epoch: [38][7860/14090]	Time 0.733 (0.764)	Data 0.001 (0.001)	Loss 2.1780 (2.2222)	Prec@1 46.875 (44.170)	Prec@5 74.219 (74.812)
Epoch: [38][7870/14090]	Time 0.773 (0.764)	Data 0.001 (0.001)	Loss 2.2160 (2.2221)	Prec@1 47.656 (44.176)	Prec@5 78.125 (74.815)
Epoch: [38][7880/14090]	Time 0.771 (0.764)	Data 0.001 (0.001)	Loss 2.3240 (2.2221)	Prec@1 42.969 (44.177)	Prec@5 74.219 (74.816)
Epoch: [38][7890/14090]	Time 0.720 (0.764)	Data 0.001 (0.001)	Loss 2.1458 (2.2221)	Prec@1 45.312 (44.178)	Prec@5 71.094 (74.814)
Epoch: [38][7900/14090]	Time 0.762 (0.764)	Data 0.001 (0.001)	Loss 2.5313 (2.2221)	Prec@1 35.938 (44.179)	Prec@5 71.094 (74.813)
Epoch: [38][7910/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 2.2111 (2.2222)	Prec@1 38.281 (44.175)	Prec@5 75.000 (74.813)
Epoch: [38][7920/14090]	Time 0.873 (0.764)	Data 0.001 (0.001)	Loss 2.1219 (2.2222)	Prec@1 45.312 (44.173)	Prec@5 78.906 (74.812)
Epoch: [38][7930/14090]	Time 0.766 (0.764)	Data 0.001 (0.001)	Loss 2.0681 (2.2222)	Prec@1 43.750 (44.175)	Prec@5 78.906 (74.814)
Epoch: [38][7940/14090]	Time 0.740 (0.764)	Data 0.001 (0.001)	Loss 2.3221 (2.2221)	Prec@1 40.625 (44.177)	Prec@5 75.781 (74.816)
Epoch: [38][7950/14090]	Time 0.724 (0.764)	Data 0.001 (0.001)	Loss 2.2404 (2.2221)	Prec@1 44.531 (44.177)	Prec@5 73.438 (74.818)
Epoch: [38][7960/14090]	Time 0.746 (0.764)	Data 0.001 (0.001)	Loss 2.1147 (2.2220)	Prec@1 48.438 (44.177)	Prec@5 75.781 (74.817)
Epoch: [38][7970/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 2.2566 (2.2220)	Prec@1 41.406 (44.177)	Prec@5 72.656 (74.817)
Epoch: [38][7980/14090]	Time 0.765 (0.764)	Data 0.001 (0.001)	Loss 2.1835 (2.2221)	Prec@1 42.188 (44.177)	Prec@5 75.000 (74.818)
Epoch: [38][7990/14090]	Time 0.835 (0.764)	Data 0.001 (0.001)	Loss 2.3956 (2.2221)	Prec@1 41.406 (44.176)	Prec@5 71.094 (74.818)
Epoch: [38][8000/14090]	Time 0.736 (0.764)	Data 0.001 (0.001)	Loss 2.2595 (2.2221)	Prec@1 44.531 (44.178)	Prec@5 72.656 (74.816)
Epoch: [38][8010/14090]	Time 0.720 (0.764)	Data 0.001 (0.001)	Loss 2.4802 (2.2221)	Prec@1 39.062 (44.176)	Prec@5 67.188 (74.815)
Epoch: [38][8020/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 2.3354 (2.2221)	Prec@1 47.656 (44.177)	Prec@5 69.531 (74.816)
Epoch: [38][8030/14090]	Time 0.726 (0.764)	Data 0.001 (0.001)	Loss 2.5503 (2.2221)	Prec@1 42.969 (44.177)	Prec@5 71.875 (74.817)
Epoch: [38][8040/14090]	Time 0.730 (0.764)	Data 0.001 (0.001)	Loss 2.0005 (2.2222)	Prec@1 47.656 (44.178)	Prec@5 79.688 (74.817)
Epoch: [38][8050/14090]	Time 0.745 (0.764)	Data 0.001 (0.001)	Loss 2.1211 (2.2222)	Prec@1 50.781 (44.178)	Prec@5 78.125 (74.815)
Epoch: [38][8060/14090]	Time 0.898 (0.764)	Data 0.001 (0.001)	Loss 2.1416 (2.2221)	Prec@1 40.625 (44.179)	Prec@5 75.781 (74.817)
Epoch: [38][8070/14090]	Time 0.739 (0.764)	Data 0.001 (0.001)	Loss 2.3506 (2.2222)	Prec@1 48.438 (44.179)	Prec@5 75.781 (74.817)
Epoch: [38][8080/14090]	Time 0.744 (0.764)	Data 0.001 (0.001)	Loss 2.2733 (2.2222)	Prec@1 39.062 (44.179)	Prec@5 77.344 (74.817)
Epoch: [38][8090/14090]	Time 0.730 (0.764)	Data 0.001 (0.001)	Loss 2.2708 (2.2222)	Prec@1 45.312 (44.179)	Prec@5 71.094 (74.815)
Epoch: [38][8100/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 2.4125 (2.2222)	Prec@1 37.500 (44.176)	Prec@5 72.656 (74.815)
Epoch: [38][8110/14090]	Time 0.758 (0.764)	Data 0.001 (0.001)	Loss 2.2742 (2.2222)	Prec@1 44.531 (44.175)	Prec@5 75.000 (74.817)
Epoch: [38][8120/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 2.1270 (2.2222)	Prec@1 42.969 (44.175)	Prec@5 78.906 (74.816)
Epoch: [38][8130/14090]	Time 0.876 (0.764)	Data 0.001 (0.001)	Loss 2.1537 (2.2223)	Prec@1 42.969 (44.175)	Prec@5 76.562 (74.814)
Epoch: [38][8140/14090]	Time 0.758 (0.764)	Data 0.001 (0.001)	Loss 2.0241 (2.2223)	Prec@1 42.188 (44.173)	Prec@5 84.375 (74.816)
Epoch: [38][8150/14090]	Time 0.727 (0.764)	Data 0.001 (0.001)	Loss 2.3159 (2.2224)	Prec@1 41.406 (44.170)	Prec@5 71.094 (74.817)
Epoch: [38][8160/14090]	Time 0.725 (0.764)	Data 0.001 (0.001)	Loss 2.4221 (2.2224)	Prec@1 35.938 (44.170)	Prec@5 71.094 (74.816)
Epoch: [38][8170/14090]	Time 0.740 (0.764)	Data 0.001 (0.001)	Loss 2.2566 (2.2223)	Prec@1 43.750 (44.169)	Prec@5 74.219 (74.818)
Epoch: [38][8180/14090]	Time 0.758 (0.764)	Data 0.001 (0.001)	Loss 2.1209 (2.2223)	Prec@1 46.094 (44.169)	Prec@5 77.344 (74.817)
Epoch: [38][8190/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 2.4286 (2.2224)	Prec@1 47.656 (44.168)	Prec@5 75.000 (74.816)
Epoch: [38][8200/14090]	Time 0.863 (0.764)	Data 0.001 (0.001)	Loss 2.0212 (2.2224)	Prec@1 46.094 (44.166)	Prec@5 75.781 (74.816)
Epoch: [38][8210/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 2.1903 (2.2224)	Prec@1 42.188 (44.168)	Prec@5 73.438 (74.815)
Epoch: [38][8220/14090]	Time 0.723 (0.764)	Data 0.001 (0.001)	Loss 2.3574 (2.2224)	Prec@1 37.500 (44.167)	Prec@5 75.000 (74.817)
Epoch: [38][8230/14090]	Time 0.734 (0.764)	Data 0.001 (0.001)	Loss 2.0889 (2.2224)	Prec@1 46.875 (44.167)	Prec@5 75.000 (74.817)
Epoch: [38][8240/14090]	Time 0.740 (0.764)	Data 0.001 (0.001)	Loss 2.2302 (2.2224)	Prec@1 43.750 (44.166)	Prec@5 71.875 (74.818)
Epoch: [38][8250/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 2.0865 (2.2223)	Prec@1 42.969 (44.167)	Prec@5 77.344 (74.819)
Epoch: [38][8260/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 2.1999 (2.2223)	Prec@1 47.656 (44.166)	Prec@5 71.094 (74.819)
Epoch: [38][8270/14090]	Time 0.854 (0.764)	Data 0.001 (0.001)	Loss 2.2999 (2.2223)	Prec@1 40.625 (44.166)	Prec@5 69.531 (74.818)
Epoch: [38][8280/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 2.1265 (2.2224)	Prec@1 41.406 (44.163)	Prec@5 77.344 (74.818)
Epoch: [38][8290/14090]	Time 0.726 (0.764)	Data 0.001 (0.001)	Loss 2.5685 (2.2224)	Prec@1 35.938 (44.164)	Prec@5 63.281 (74.818)
Epoch: [38][8300/14090]	Time 0.781 (0.764)	Data 0.003 (0.001)	Loss 2.3356 (2.2224)	Prec@1 42.969 (44.165)	Prec@5 74.219 (74.819)
Epoch: [38][8310/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 2.2744 (2.2225)	Prec@1 41.406 (44.163)	Prec@5 74.219 (74.816)
Epoch: [38][8320/14090]	Time 0.730 (0.764)	Data 0.002 (0.001)	Loss 2.5114 (2.2225)	Prec@1 35.938 (44.163)	Prec@5 71.875 (74.815)
Epoch: [38][8330/14090]	Time 0.761 (0.764)	Data 0.001 (0.001)	Loss 2.3300 (2.2226)	Prec@1 46.094 (44.160)	Prec@5 73.438 (74.815)
Epoch: [38][8340/14090]	Time 0.870 (0.764)	Data 0.001 (0.001)	Loss 2.2910 (2.2227)	Prec@1 50.000 (44.160)	Prec@5 76.562 (74.814)
Epoch: [38][8350/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 2.4480 (2.2227)	Prec@1 37.500 (44.159)	Prec@5 69.531 (74.812)
Epoch: [38][8360/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 2.4963 (2.2228)	Prec@1 35.938 (44.159)	Prec@5 67.969 (74.811)
Epoch: [38][8370/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 2.4055 (2.2229)	Prec@1 42.969 (44.158)	Prec@5 67.969 (74.809)
Epoch: [38][8380/14090]	Time 0.743 (0.764)	Data 0.001 (0.001)	Loss 2.1862 (2.2228)	Prec@1 42.188 (44.157)	Prec@5 75.781 (74.810)
Epoch: [38][8390/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 2.1908 (2.2228)	Prec@1 40.625 (44.156)	Prec@5 74.219 (74.809)
Epoch: [38][8400/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 2.0696 (2.2228)	Prec@1 46.094 (44.156)	Prec@5 75.000 (74.808)
Epoch: [38][8410/14090]	Time 0.864 (0.764)	Data 0.001 (0.001)	Loss 2.5310 (2.2229)	Prec@1 39.844 (44.154)	Prec@5 63.281 (74.808)
Epoch: [38][8420/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 2.6357 (2.2229)	Prec@1 41.406 (44.153)	Prec@5 68.750 (74.807)
Epoch: [38][8430/14090]	Time 0.725 (0.764)	Data 0.001 (0.001)	Loss 2.2561 (2.2231)	Prec@1 41.406 (44.152)	Prec@5 72.656 (74.805)
Epoch: [38][8440/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 2.1472 (2.2229)	Prec@1 47.656 (44.155)	Prec@5 74.219 (74.805)
Epoch: [38][8450/14090]	Time 0.724 (0.764)	Data 0.001 (0.001)	Loss 2.1231 (2.2230)	Prec@1 46.094 (44.154)	Prec@5 81.250 (74.804)
Epoch: [38][8460/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 2.3907 (2.2231)	Prec@1 42.969 (44.152)	Prec@5 74.219 (74.803)
Epoch: [38][8470/14090]	Time 0.730 (0.764)	Data 0.001 (0.001)	Loss 2.5076 (2.2232)	Prec@1 42.188 (44.152)	Prec@5 69.531 (74.802)
Epoch: [38][8480/14090]	Time 0.872 (0.764)	Data 0.001 (0.001)	Loss 2.0505 (2.2232)	Prec@1 50.000 (44.151)	Prec@5 80.469 (74.803)
Epoch: [38][8490/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 2.4317 (2.2233)	Prec@1 38.281 (44.151)	Prec@5 68.750 (74.800)
Epoch: [38][8500/14090]	Time 0.728 (0.764)	Data 0.001 (0.001)	Loss 2.4528 (2.2233)	Prec@1 41.406 (44.152)	Prec@5 72.656 (74.802)
Epoch: [38][8510/14090]	Time 0.746 (0.764)	Data 0.001 (0.001)	Loss 2.4369 (2.2233)	Prec@1 35.156 (44.152)	Prec@5 70.312 (74.801)
Epoch: [38][8520/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 2.1286 (2.2231)	Prec@1 43.750 (44.155)	Prec@5 80.469 (74.803)
Epoch: [38][8530/14090]	Time 0.756 (0.764)	Data 0.000 (0.001)	Loss 2.3825 (2.2232)	Prec@1 32.812 (44.152)	Prec@5 72.656 (74.803)
Epoch: [38][8540/14090]	Time 0.765 (0.764)	Data 0.001 (0.001)	Loss 2.2033 (2.2231)	Prec@1 48.438 (44.154)	Prec@5 75.781 (74.804)
Epoch: [38][8550/14090]	Time 0.864 (0.764)	Data 0.001 (0.001)	Loss 2.4141 (2.2232)	Prec@1 38.281 (44.153)	Prec@5 70.312 (74.804)
Epoch: [38][8560/14090]	Time 0.766 (0.764)	Data 0.001 (0.001)	Loss 2.3493 (2.2233)	Prec@1 36.719 (44.152)	Prec@5 73.438 (74.805)
Epoch: [38][8570/14090]	Time 0.723 (0.764)	Data 0.001 (0.001)	Loss 2.2940 (2.2233)	Prec@1 44.531 (44.150)	Prec@5 74.219 (74.803)
Epoch: [38][8580/14090]	Time 0.780 (0.764)	Data 0.001 (0.001)	Loss 2.1189 (2.2234)	Prec@1 46.094 (44.148)	Prec@5 77.344 (74.803)
Epoch: [38][8590/14090]	Time 0.763 (0.764)	Data 0.001 (0.001)	Loss 2.1449 (2.2234)	Prec@1 40.625 (44.148)	Prec@5 79.688 (74.802)
Epoch: [38][8600/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 2.1196 (2.2234)	Prec@1 44.531 (44.148)	Prec@5 75.781 (74.803)
Epoch: [38][8610/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 2.2281 (2.2235)	Prec@1 42.188 (44.148)	Prec@5 71.094 (74.800)
Epoch: [38][8620/14090]	Time 0.872 (0.764)	Data 0.001 (0.001)	Loss 2.3678 (2.2235)	Prec@1 42.188 (44.148)	Prec@5 69.531 (74.800)
Epoch: [38][8630/14090]	Time 0.761 (0.764)	Data 0.001 (0.001)	Loss 2.0270 (2.2235)	Prec@1 43.750 (44.148)	Prec@5 78.906 (74.802)
Epoch: [38][8640/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 2.1854 (2.2235)	Prec@1 40.625 (44.147)	Prec@5 75.781 (74.802)
Epoch: [38][8650/14090]	Time 0.733 (0.764)	Data 0.001 (0.001)	Loss 2.4022 (2.2235)	Prec@1 39.844 (44.145)	Prec@5 69.531 (74.802)
Epoch: [38][8660/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 2.4708 (2.2236)	Prec@1 41.406 (44.144)	Prec@5 71.094 (74.800)
Epoch: [38][8670/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 2.2905 (2.2236)	Prec@1 46.094 (44.145)	Prec@5 68.750 (74.800)
Epoch: [38][8680/14090]	Time 0.744 (0.764)	Data 0.001 (0.001)	Loss 2.2701 (2.2236)	Prec@1 44.531 (44.146)	Prec@5 75.000 (74.800)
Epoch: [38][8690/14090]	Time 0.895 (0.764)	Data 0.001 (0.001)	Loss 2.0191 (2.2235)	Prec@1 50.000 (44.148)	Prec@5 77.344 (74.799)
Epoch: [38][8700/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 1.9604 (2.2235)	Prec@1 50.000 (44.148)	Prec@5 82.031 (74.800)
Epoch: [38][8710/14090]	Time 0.721 (0.764)	Data 0.001 (0.001)	Loss 1.8380 (2.2235)	Prec@1 50.781 (44.150)	Prec@5 83.594 (74.802)
Epoch: [38][8720/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 2.2978 (2.2235)	Prec@1 39.844 (44.149)	Prec@5 74.219 (74.802)
Epoch: [38][8730/14090]	Time 0.726 (0.764)	Data 0.001 (0.001)	Loss 2.1514 (2.2235)	Prec@1 44.531 (44.148)	Prec@5 76.562 (74.801)
Epoch: [38][8740/14090]	Time 0.739 (0.764)	Data 0.001 (0.001)	Loss 2.2587 (2.2234)	Prec@1 40.625 (44.146)	Prec@5 71.875 (74.802)
Epoch: [38][8750/14090]	Time 0.726 (0.764)	Data 0.001 (0.001)	Loss 2.1527 (2.2233)	Prec@1 44.531 (44.148)	Prec@5 76.562 (74.805)
Epoch: [38][8760/14090]	Time 0.854 (0.764)	Data 0.001 (0.001)	Loss 2.3586 (2.2234)	Prec@1 41.406 (44.145)	Prec@5 75.781 (74.804)
Epoch: [38][8770/14090]	Time 0.732 (0.764)	Data 0.001 (0.001)	Loss 2.1529 (2.2234)	Prec@1 45.312 (44.145)	Prec@5 74.219 (74.804)
Epoch: [38][8780/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 2.2275 (2.2235)	Prec@1 42.188 (44.143)	Prec@5 74.219 (74.802)
Epoch: [38][8790/14090]	Time 0.727 (0.764)	Data 0.001 (0.001)	Loss 2.6431 (2.2235)	Prec@1 36.719 (44.142)	Prec@5 65.625 (74.801)
Epoch: [38][8800/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 2.1444 (2.2235)	Prec@1 47.656 (44.144)	Prec@5 78.125 (74.801)
Epoch: [38][8810/14090]	Time 0.735 (0.764)	Data 0.001 (0.001)	Loss 1.9940 (2.2235)	Prec@1 43.750 (44.144)	Prec@5 80.469 (74.803)
Epoch: [38][8820/14090]	Time 0.748 (0.764)	Data 0.001 (0.001)	Loss 2.2190 (2.2234)	Prec@1 44.531 (44.143)	Prec@5 74.219 (74.804)
Epoch: [38][8830/14090]	Time 0.873 (0.764)	Data 0.001 (0.001)	Loss 2.5190 (2.2235)	Prec@1 38.281 (44.142)	Prec@5 73.438 (74.802)
Epoch: [38][8840/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 2.3771 (2.2235)	Prec@1 39.062 (44.143)	Prec@5 73.438 (74.801)
Epoch: [38][8850/14090]	Time 0.720 (0.764)	Data 0.001 (0.001)	Loss 2.2508 (2.2234)	Prec@1 46.094 (44.145)	Prec@5 73.438 (74.803)
Epoch: [38][8860/14090]	Time 0.780 (0.764)	Data 0.001 (0.001)	Loss 2.1118 (2.2233)	Prec@1 46.875 (44.148)	Prec@5 76.562 (74.805)
Epoch: [38][8870/14090]	Time 0.723 (0.764)	Data 0.001 (0.001)	Loss 2.0591 (2.2234)	Prec@1 38.281 (44.144)	Prec@5 80.469 (74.804)
Epoch: [38][8880/14090]	Time 0.766 (0.764)	Data 0.001 (0.001)	Loss 2.1035 (2.2233)	Prec@1 50.000 (44.145)	Prec@5 78.906 (74.804)
Epoch: [38][8890/14090]	Time 0.748 (0.764)	Data 0.001 (0.001)	Loss 2.2769 (2.2234)	Prec@1 39.062 (44.146)	Prec@5 75.781 (74.803)
Epoch: [38][8900/14090]	Time 0.857 (0.764)	Data 0.001 (0.001)	Loss 2.4275 (2.2233)	Prec@1 36.719 (44.147)	Prec@5 71.875 (74.804)
Epoch: [38][8910/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 2.0766 (2.2233)	Prec@1 42.188 (44.147)	Prec@5 80.469 (74.804)
Epoch: [38][8920/14090]	Time 0.739 (0.764)	Data 0.001 (0.001)	Loss 2.4459 (2.2234)	Prec@1 39.844 (44.145)	Prec@5 70.312 (74.801)
Epoch: [38][8930/14090]	Time 0.761 (0.764)	Data 0.001 (0.001)	Loss 2.3310 (2.2236)	Prec@1 35.938 (44.142)	Prec@5 71.094 (74.798)
Epoch: [38][8940/14090]	Time 0.729 (0.764)	Data 0.001 (0.001)	Loss 2.5012 (2.2236)	Prec@1 39.844 (44.141)	Prec@5 69.531 (74.799)
Epoch: [38][8950/14090]	Time 0.761 (0.764)	Data 0.001 (0.001)	Loss 2.1288 (2.2235)	Prec@1 41.406 (44.141)	Prec@5 81.250 (74.800)
Epoch: [38][8960/14090]	Time 0.746 (0.764)	Data 0.001 (0.001)	Loss 2.2021 (2.2234)	Prec@1 42.969 (44.143)	Prec@5 77.344 (74.801)
Epoch: [38][8970/14090]	Time 0.871 (0.764)	Data 0.001 (0.001)	Loss 2.3034 (2.2235)	Prec@1 45.312 (44.142)	Prec@5 69.531 (74.799)
Epoch: [38][8980/14090]	Time 0.768 (0.764)	Data 0.001 (0.001)	Loss 2.3497 (2.2236)	Prec@1 44.531 (44.143)	Prec@5 73.438 (74.799)
Epoch: [38][8990/14090]	Time 0.746 (0.764)	Data 0.001 (0.001)	Loss 2.4040 (2.2235)	Prec@1 36.719 (44.142)	Prec@5 72.656 (74.801)
Epoch: [38][9000/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 2.0091 (2.2235)	Prec@1 50.000 (44.142)	Prec@5 80.469 (74.799)
Epoch: [38][9010/14090]	Time 0.758 (0.764)	Data 0.001 (0.001)	Loss 2.4700 (2.2236)	Prec@1 35.156 (44.140)	Prec@5 71.875 (74.800)
Epoch: [38][9020/14090]	Time 0.725 (0.764)	Data 0.001 (0.001)	Loss 2.2899 (2.2235)	Prec@1 41.406 (44.141)	Prec@5 73.438 (74.801)
Epoch: [38][9030/14090]	Time 0.728 (0.764)	Data 0.001 (0.001)	Loss 2.1349 (2.2235)	Prec@1 51.562 (44.142)	Prec@5 75.000 (74.802)
Epoch: [38][9040/14090]	Time 0.844 (0.764)	Data 0.001 (0.001)	Loss 2.3525 (2.2235)	Prec@1 41.406 (44.142)	Prec@5 71.875 (74.802)
Epoch: [38][9050/14090]	Time 0.736 (0.764)	Data 0.001 (0.001)	Loss 2.3166 (2.2235)	Prec@1 41.406 (44.142)	Prec@5 71.875 (74.803)
Epoch: [38][9060/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 2.2661 (2.2235)	Prec@1 40.625 (44.143)	Prec@5 75.781 (74.803)
Epoch: [38][9070/14090]	Time 0.734 (0.764)	Data 0.001 (0.001)	Loss 2.5753 (2.2235)	Prec@1 35.938 (44.141)	Prec@5 69.531 (74.802)
Epoch: [38][9080/14090]	Time 0.727 (0.764)	Data 0.001 (0.001)	Loss 2.0987 (2.2235)	Prec@1 46.875 (44.142)	Prec@5 78.125 (74.802)
Epoch: [38][9090/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 2.5973 (2.2234)	Prec@1 39.844 (44.144)	Prec@5 68.750 (74.803)
Epoch: [38][9100/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 2.2515 (2.2235)	Prec@1 47.656 (44.144)	Prec@5 77.344 (74.804)
Epoch: [38][9110/14090]	Time 0.870 (0.764)	Data 0.001 (0.001)	Loss 2.5454 (2.2234)	Prec@1 38.281 (44.144)	Prec@5 67.969 (74.804)
Epoch: [38][9120/14090]	Time 0.730 (0.764)	Data 0.001 (0.001)	Loss 1.8453 (2.2234)	Prec@1 52.344 (44.144)	Prec@5 82.812 (74.804)
Epoch: [38][9130/14090]	Time 0.725 (0.764)	Data 0.001 (0.001)	Loss 2.3136 (2.2234)	Prec@1 41.406 (44.143)	Prec@5 75.000 (74.805)
Epoch: [38][9140/14090]	Time 0.767 (0.764)	Data 0.001 (0.001)	Loss 2.2924 (2.2233)	Prec@1 37.500 (44.142)	Prec@5 76.562 (74.807)
Epoch: [38][9150/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 2.3053 (2.2233)	Prec@1 48.438 (44.145)	Prec@5 77.344 (74.807)
Epoch: [38][9160/14090]	Time 0.736 (0.764)	Data 0.001 (0.001)	Loss 2.4123 (2.2233)	Prec@1 38.281 (44.143)	Prec@5 67.969 (74.806)
Epoch: [38][9170/14090]	Time 0.724 (0.764)	Data 0.001 (0.001)	Loss 1.9898 (2.2232)	Prec@1 48.438 (44.146)	Prec@5 78.906 (74.807)
Epoch: [38][9180/14090]	Time 0.911 (0.764)	Data 0.001 (0.001)	Loss 2.3150 (2.2233)	Prec@1 42.969 (44.147)	Prec@5 72.656 (74.806)
Epoch: [38][9190/14090]	Time 0.719 (0.764)	Data 0.001 (0.001)	Loss 2.2581 (2.2233)	Prec@1 40.625 (44.146)	Prec@5 71.094 (74.805)
Epoch: [38][9200/14090]	Time 0.725 (0.764)	Data 0.001 (0.001)	Loss 1.9241 (2.2234)	Prec@1 48.438 (44.145)	Prec@5 82.031 (74.805)
Epoch: [38][9210/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 1.9780 (2.2233)	Prec@1 57.812 (44.147)	Prec@5 75.000 (74.806)
Epoch: [38][9220/14090]	Time 0.778 (0.764)	Data 0.001 (0.001)	Loss 2.2700 (2.2234)	Prec@1 41.406 (44.147)	Prec@5 72.656 (74.805)
Epoch: [38][9230/14090]	Time 0.759 (0.764)	Data 0.001 (0.001)	Loss 1.9613 (2.2233)	Prec@1 48.438 (44.146)	Prec@5 79.688 (74.806)
Epoch: [38][9240/14090]	Time 0.744 (0.764)	Data 0.001 (0.001)	Loss 2.4822 (2.2234)	Prec@1 39.844 (44.144)	Prec@5 68.750 (74.805)
Epoch: [38][9250/14090]	Time 0.877 (0.764)	Data 0.001 (0.001)	Loss 2.1081 (2.2233)	Prec@1 41.406 (44.145)	Prec@5 76.562 (74.808)
Epoch: [38][9260/14090]	Time 0.727 (0.764)	Data 0.001 (0.001)	Loss 2.4756 (2.2233)	Prec@1 42.188 (44.146)	Prec@5 72.656 (74.809)
Epoch: [38][9270/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 1.9898 (2.2233)	Prec@1 46.094 (44.146)	Prec@5 78.906 (74.808)
Epoch: [38][9280/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 2.2615 (2.2234)	Prec@1 39.062 (44.145)	Prec@5 77.344 (74.808)
Epoch: [38][9290/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 2.3377 (2.2233)	Prec@1 45.312 (44.147)	Prec@5 67.188 (74.808)
Epoch: [38][9300/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 2.2048 (2.2234)	Prec@1 42.188 (44.145)	Prec@5 75.781 (74.807)
Epoch: [38][9310/14090]	Time 0.748 (0.764)	Data 0.001 (0.001)	Loss 2.0298 (2.2232)	Prec@1 48.438 (44.147)	Prec@5 77.344 (74.809)
Epoch: [38][9320/14090]	Time 0.823 (0.764)	Data 0.001 (0.001)	Loss 2.3163 (2.2232)	Prec@1 39.844 (44.147)	Prec@5 72.656 (74.810)
Epoch: [38][9330/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 2.1788 (2.2232)	Prec@1 44.531 (44.149)	Prec@5 77.344 (74.810)
Epoch: [38][9340/14090]	Time 0.725 (0.764)	Data 0.001 (0.001)	Loss 2.3280 (2.2232)	Prec@1 49.219 (44.148)	Prec@5 73.438 (74.811)
Epoch: [38][9350/14090]	Time 0.759 (0.764)	Data 0.001 (0.001)	Loss 2.3173 (2.2232)	Prec@1 42.188 (44.148)	Prec@5 75.000 (74.814)
Epoch: [38][9360/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 2.3916 (2.2232)	Prec@1 38.281 (44.147)	Prec@5 71.094 (74.813)
Epoch: [38][9370/14090]	Time 0.768 (0.764)	Data 0.001 (0.001)	Loss 2.1278 (2.2232)	Prec@1 46.094 (44.147)	Prec@5 75.000 (74.812)
Epoch: [38][9380/14090]	Time 0.732 (0.764)	Data 0.001 (0.001)	Loss 2.0668 (2.2232)	Prec@1 48.438 (44.147)	Prec@5 78.906 (74.811)
Epoch: [38][9390/14090]	Time 0.858 (0.764)	Data 0.001 (0.001)	Loss 2.3008 (2.2232)	Prec@1 44.531 (44.147)	Prec@5 75.000 (74.812)
Epoch: [38][9400/14090]	Time 0.728 (0.764)	Data 0.001 (0.001)	Loss 2.6348 (2.2231)	Prec@1 39.062 (44.147)	Prec@5 66.406 (74.813)
Epoch: [38][9410/14090]	Time 0.734 (0.764)	Data 0.001 (0.001)	Loss 2.0539 (2.2230)	Prec@1 46.094 (44.149)	Prec@5 83.594 (74.816)
Epoch: [38][9420/14090]	Time 0.766 (0.764)	Data 0.001 (0.001)	Loss 2.1519 (2.2230)	Prec@1 48.438 (44.151)	Prec@5 75.781 (74.817)
Epoch: [38][9430/14090]	Time 0.760 (0.764)	Data 0.001 (0.001)	Loss 2.2654 (2.2231)	Prec@1 41.406 (44.148)	Prec@5 75.000 (74.816)
Epoch: [38][9440/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 2.4183 (2.2232)	Prec@1 43.750 (44.148)	Prec@5 74.219 (74.815)
Epoch: [38][9450/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 2.2648 (2.2231)	Prec@1 39.844 (44.150)	Prec@5 73.438 (74.818)
Epoch: [38][9460/14090]	Time 0.856 (0.764)	Data 0.001 (0.001)	Loss 2.2565 (2.2231)	Prec@1 41.406 (44.149)	Prec@5 73.438 (74.818)
Epoch: [38][9470/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 2.3876 (2.2232)	Prec@1 47.656 (44.148)	Prec@5 71.094 (74.815)
Epoch: [38][9480/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 2.3756 (2.2231)	Prec@1 42.969 (44.148)	Prec@5 69.531 (74.816)
Epoch: [38][9490/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 1.9947 (2.2232)	Prec@1 48.438 (44.148)	Prec@5 82.031 (74.814)
Epoch: [38][9500/14090]	Time 0.719 (0.764)	Data 0.001 (0.001)	Loss 2.0735 (2.2231)	Prec@1 50.000 (44.147)	Prec@5 75.781 (74.814)
Epoch: [38][9510/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 2.2269 (2.2231)	Prec@1 46.875 (44.147)	Prec@5 72.656 (74.815)
Epoch: [38][9520/14090]	Time 0.748 (0.764)	Data 0.001 (0.001)	Loss 2.2775 (2.2231)	Prec@1 42.188 (44.148)	Prec@5 73.438 (74.814)
Epoch: [38][9530/14090]	Time 0.841 (0.764)	Data 0.001 (0.001)	Loss 2.2288 (2.2232)	Prec@1 43.750 (44.147)	Prec@5 71.875 (74.814)
Epoch: [38][9540/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 2.4255 (2.2231)	Prec@1 39.062 (44.148)	Prec@5 69.531 (74.813)
Epoch: [38][9550/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 2.3273 (2.2232)	Prec@1 46.094 (44.147)	Prec@5 73.438 (74.813)
Epoch: [38][9560/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 2.0634 (2.2231)	Prec@1 44.531 (44.149)	Prec@5 77.344 (74.812)
Epoch: [38][9570/14090]	Time 0.721 (0.764)	Data 0.001 (0.001)	Loss 2.4422 (2.2232)	Prec@1 39.844 (44.147)	Prec@5 68.750 (74.810)
Epoch: [38][9580/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 2.0103 (2.2232)	Prec@1 50.781 (44.147)	Prec@5 75.781 (74.811)
Epoch: [38][9590/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 2.2692 (2.2231)	Prec@1 50.781 (44.149)	Prec@5 73.438 (74.812)
Epoch: [38][9600/14090]	Time 0.860 (0.764)	Data 0.001 (0.001)	Loss 2.5398 (2.2232)	Prec@1 40.625 (44.149)	Prec@5 67.969 (74.812)
Epoch: [38][9610/14090]	Time 0.740 (0.764)	Data 0.001 (0.001)	Loss 2.1633 (2.2231)	Prec@1 47.656 (44.150)	Prec@5 73.438 (74.813)
Epoch: [38][9620/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 1.9219 (2.2231)	Prec@1 54.688 (44.151)	Prec@5 81.250 (74.813)
Epoch: [38][9630/14090]	Time 0.733 (0.764)	Data 0.001 (0.001)	Loss 2.2187 (2.2231)	Prec@1 45.312 (44.152)	Prec@5 75.000 (74.814)
Epoch: [38][9640/14090]	Time 0.761 (0.764)	Data 0.001 (0.001)	Loss 2.1158 (2.2230)	Prec@1 49.219 (44.153)	Prec@5 76.562 (74.816)
Epoch: [38][9650/14090]	Time 0.764 (0.764)	Data 0.004 (0.001)	Loss 2.1783 (2.2230)	Prec@1 48.438 (44.155)	Prec@5 76.562 (74.815)
Epoch: [38][9660/14090]	Time 0.734 (0.764)	Data 0.001 (0.001)	Loss 1.9385 (2.2230)	Prec@1 52.344 (44.157)	Prec@5 78.125 (74.816)
Epoch: [38][9670/14090]	Time 0.882 (0.764)	Data 0.001 (0.001)	Loss 2.4325 (2.2230)	Prec@1 40.625 (44.157)	Prec@5 75.000 (74.814)
Epoch: [38][9680/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 2.3306 (2.2230)	Prec@1 40.625 (44.157)	Prec@5 74.219 (74.816)
Epoch: [38][9690/14090]	Time 0.734 (0.764)	Data 0.001 (0.001)	Loss 2.1432 (2.2230)	Prec@1 42.969 (44.157)	Prec@5 80.469 (74.816)
Epoch: [38][9700/14090]	Time 0.785 (0.764)	Data 0.001 (0.001)	Loss 2.3513 (2.2230)	Prec@1 42.188 (44.155)	Prec@5 72.656 (74.816)
Epoch: [38][9710/14090]	Time 0.758 (0.764)	Data 0.001 (0.001)	Loss 2.2525 (2.2230)	Prec@1 48.438 (44.156)	Prec@5 77.344 (74.818)
Epoch: [38][9720/14090]	Time 0.749 (0.764)	Data 0.000 (0.001)	Loss 2.1782 (2.2230)	Prec@1 46.094 (44.156)	Prec@5 79.688 (74.817)
Epoch: [38][9730/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 2.1474 (2.2229)	Prec@1 42.188 (44.158)	Prec@5 73.438 (74.821)
Epoch: [38][9740/14090]	Time 0.843 (0.764)	Data 0.001 (0.001)	Loss 2.1244 (2.2228)	Prec@1 46.875 (44.159)	Prec@5 76.562 (74.822)
Epoch: [38][9750/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 2.2552 (2.2228)	Prec@1 40.625 (44.159)	Prec@5 77.344 (74.822)
Epoch: [38][9760/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.1235 (2.2227)	Prec@1 49.219 (44.162)	Prec@5 74.219 (74.823)
Epoch: [38][9770/14090]	Time 0.764 (0.764)	Data 0.001 (0.001)	Loss 2.1714 (2.2228)	Prec@1 37.500 (44.160)	Prec@5 75.000 (74.822)
Epoch: [38][9780/14090]	Time 0.748 (0.764)	Data 0.001 (0.001)	Loss 2.2019 (2.2228)	Prec@1 47.656 (44.159)	Prec@5 77.344 (74.821)
Epoch: [38][9790/14090]	Time 0.730 (0.764)	Data 0.001 (0.001)	Loss 2.3165 (2.2229)	Prec@1 39.062 (44.157)	Prec@5 69.531 (74.820)
Epoch: [38][9800/14090]	Time 0.760 (0.764)	Data 0.001 (0.001)	Loss 2.1144 (2.2229)	Prec@1 42.188 (44.158)	Prec@5 74.219 (74.819)
Epoch: [38][9810/14090]	Time 0.897 (0.764)	Data 0.001 (0.001)	Loss 2.3794 (2.2229)	Prec@1 40.625 (44.158)	Prec@5 72.656 (74.820)
Epoch: [38][9820/14090]	Time 0.748 (0.764)	Data 0.001 (0.001)	Loss 1.7610 (2.2227)	Prec@1 58.594 (44.163)	Prec@5 78.125 (74.821)
Epoch: [38][9830/14090]	Time 0.736 (0.764)	Data 0.001 (0.001)	Loss 2.2343 (2.2228)	Prec@1 46.094 (44.161)	Prec@5 75.000 (74.820)
Epoch: [38][9840/14090]	Time 0.781 (0.764)	Data 0.001 (0.001)	Loss 2.1672 (2.2228)	Prec@1 46.875 (44.162)	Prec@5 78.906 (74.820)
Epoch: [38][9850/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 2.1169 (2.2227)	Prec@1 50.781 (44.163)	Prec@5 74.219 (74.822)
Epoch: [38][9860/14090]	Time 0.740 (0.764)	Data 0.001 (0.001)	Loss 2.6061 (2.2227)	Prec@1 31.250 (44.162)	Prec@5 64.062 (74.822)
Epoch: [38][9870/14090]	Time 0.761 (0.764)	Data 0.001 (0.001)	Loss 2.1433 (2.2229)	Prec@1 43.750 (44.158)	Prec@5 75.000 (74.820)
Epoch: [38][9880/14090]	Time 0.845 (0.764)	Data 0.001 (0.001)	Loss 2.1646 (2.2229)	Prec@1 40.625 (44.156)	Prec@5 74.219 (74.819)
Epoch: [38][9890/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 2.4323 (2.2230)	Prec@1 42.969 (44.153)	Prec@5 71.094 (74.817)
Epoch: [38][9900/14090]	Time 0.736 (0.764)	Data 0.001 (0.001)	Loss 2.6402 (2.2230)	Prec@1 35.156 (44.152)	Prec@5 64.062 (74.814)
Epoch: [38][9910/14090]	Time 0.722 (0.764)	Data 0.001 (0.001)	Loss 2.1269 (2.2230)	Prec@1 52.344 (44.153)	Prec@5 75.781 (74.815)
Epoch: [38][9920/14090]	Time 0.759 (0.764)	Data 0.001 (0.001)	Loss 2.5205 (2.2231)	Prec@1 40.625 (44.152)	Prec@5 71.875 (74.814)
Epoch: [38][9930/14090]	Time 0.726 (0.764)	Data 0.001 (0.001)	Loss 1.9557 (2.2231)	Prec@1 49.219 (44.153)	Prec@5 78.906 (74.815)
Epoch: [38][9940/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 2.0120 (2.2230)	Prec@1 43.750 (44.156)	Prec@5 81.250 (74.816)
Epoch: [38][9950/14090]	Time 0.872 (0.764)	Data 0.001 (0.001)	Loss 2.2035 (2.2229)	Prec@1 44.531 (44.158)	Prec@5 78.125 (74.817)
Epoch: [38][9960/14090]	Time 0.772 (0.764)	Data 0.001 (0.001)	Loss 2.2853 (2.2230)	Prec@1 42.188 (44.156)	Prec@5 71.094 (74.818)
Epoch: [38][9970/14090]	Time 0.727 (0.764)	Data 0.002 (0.001)	Loss 2.1138 (2.2230)	Prec@1 49.219 (44.155)	Prec@5 76.562 (74.818)
Epoch: [38][9980/14090]	Time 0.748 (0.764)	Data 0.001 (0.001)	Loss 2.0417 (2.2231)	Prec@1 47.656 (44.155)	Prec@5 81.250 (74.817)
Epoch: [38][9990/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 2.3545 (2.2230)	Prec@1 46.094 (44.158)	Prec@5 73.438 (74.819)
Epoch: [38][10000/14090]	Time 0.725 (0.764)	Data 0.001 (0.001)	Loss 2.3763 (2.2230)	Prec@1 42.188 (44.158)	Prec@5 70.312 (74.819)
Epoch: [38][10010/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 2.3064 (2.2229)	Prec@1 42.188 (44.162)	Prec@5 69.531 (74.818)
Epoch: [38][10020/14090]	Time 0.868 (0.764)	Data 0.001 (0.001)	Loss 2.2006 (2.2230)	Prec@1 49.219 (44.163)	Prec@5 75.781 (74.816)
Epoch: [38][10030/14090]	Time 0.736 (0.764)	Data 0.001 (0.001)	Loss 2.0432 (2.2230)	Prec@1 48.438 (44.163)	Prec@5 76.562 (74.817)
Epoch: [38][10040/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.2252 (2.2230)	Prec@1 48.438 (44.163)	Prec@5 68.750 (74.817)
Epoch: [38][10050/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 2.0690 (2.2230)	Prec@1 42.969 (44.162)	Prec@5 78.906 (74.817)
Epoch: [38][10060/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 2.4993 (2.2229)	Prec@1 40.625 (44.164)	Prec@5 68.750 (74.818)
Epoch: [38][10070/14090]	Time 0.736 (0.764)	Data 0.001 (0.001)	Loss 2.2375 (2.2229)	Prec@1 42.188 (44.164)	Prec@5 70.312 (74.817)
Epoch: [38][10080/14090]	Time 0.762 (0.764)	Data 0.001 (0.001)	Loss 2.1630 (2.2230)	Prec@1 51.562 (44.163)	Prec@5 70.312 (74.817)
Epoch: [38][10090/14090]	Time 0.878 (0.764)	Data 0.001 (0.001)	Loss 2.0134 (2.2229)	Prec@1 53.906 (44.165)	Prec@5 81.250 (74.817)
Epoch: [38][10100/14090]	Time 0.728 (0.764)	Data 0.001 (0.001)	Loss 2.0910 (2.2229)	Prec@1 45.312 (44.165)	Prec@5 78.125 (74.819)
Epoch: [38][10110/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 1.9998 (2.2228)	Prec@1 46.875 (44.166)	Prec@5 82.031 (74.819)
Epoch: [38][10120/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.1727 (2.2228)	Prec@1 43.750 (44.166)	Prec@5 71.875 (74.818)
Epoch: [38][10130/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 2.4858 (2.2229)	Prec@1 39.062 (44.167)	Prec@5 70.312 (74.817)
Epoch: [38][10140/14090]	Time 0.730 (0.764)	Data 0.001 (0.001)	Loss 2.2031 (2.2228)	Prec@1 42.188 (44.167)	Prec@5 74.219 (74.818)
Epoch: [38][10150/14090]	Time 0.769 (0.764)	Data 0.001 (0.001)	Loss 2.2833 (2.2227)	Prec@1 42.969 (44.169)	Prec@5 72.656 (74.819)
Epoch: [38][10160/14090]	Time 0.826 (0.764)	Data 0.001 (0.001)	Loss 1.9475 (2.2227)	Prec@1 53.125 (44.170)	Prec@5 80.469 (74.819)
Epoch: [38][10170/14090]	Time 0.739 (0.764)	Data 0.001 (0.001)	Loss 2.3222 (2.2227)	Prec@1 37.500 (44.168)	Prec@5 71.875 (74.820)
Epoch: [38][10180/14090]	Time 0.734 (0.764)	Data 0.001 (0.001)	Loss 2.0069 (2.2227)	Prec@1 51.562 (44.169)	Prec@5 79.688 (74.819)
Epoch: [38][10190/14090]	Time 0.732 (0.764)	Data 0.001 (0.001)	Loss 2.4889 (2.2227)	Prec@1 44.531 (44.169)	Prec@5 71.875 (74.821)
Epoch: [38][10200/14090]	Time 0.739 (0.764)	Data 0.001 (0.001)	Loss 2.0427 (2.2227)	Prec@1 47.656 (44.169)	Prec@5 79.688 (74.821)
Epoch: [38][10210/14090]	Time 0.774 (0.764)	Data 0.001 (0.001)	Loss 1.9923 (2.2226)	Prec@1 46.875 (44.173)	Prec@5 79.688 (74.822)
Epoch: [38][10220/14090]	Time 0.761 (0.764)	Data 0.001 (0.001)	Loss 2.2676 (2.2225)	Prec@1 42.969 (44.174)	Prec@5 78.125 (74.823)
Epoch: [38][10230/14090]	Time 0.905 (0.764)	Data 0.001 (0.001)	Loss 2.0986 (2.2225)	Prec@1 44.531 (44.173)	Prec@5 75.781 (74.824)
Epoch: [38][10240/14090]	Time 0.725 (0.764)	Data 0.001 (0.001)	Loss 2.2913 (2.2225)	Prec@1 45.312 (44.175)	Prec@5 71.094 (74.823)
Epoch: [38][10250/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 2.3724 (2.2226)	Prec@1 39.062 (44.172)	Prec@5 73.438 (74.821)
Epoch: [38][10260/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 2.2767 (2.2225)	Prec@1 42.188 (44.174)	Prec@5 75.781 (74.822)
Epoch: [38][10270/14090]	Time 0.745 (0.764)	Data 0.001 (0.001)	Loss 2.2369 (2.2225)	Prec@1 39.844 (44.173)	Prec@5 73.438 (74.823)
Epoch: [38][10280/14090]	Time 0.760 (0.764)	Data 0.001 (0.001)	Loss 2.5474 (2.2225)	Prec@1 36.719 (44.172)	Prec@5 71.094 (74.823)
Epoch: [38][10290/14090]	Time 0.771 (0.764)	Data 0.001 (0.001)	Loss 2.2551 (2.2226)	Prec@1 45.312 (44.171)	Prec@5 75.781 (74.823)
Epoch: [38][10300/14090]	Time 0.829 (0.764)	Data 0.001 (0.001)	Loss 2.4018 (2.2227)	Prec@1 42.969 (44.169)	Prec@5 74.219 (74.822)
Epoch: [38][10310/14090]	Time 0.760 (0.764)	Data 0.001 (0.001)	Loss 2.0746 (2.2226)	Prec@1 44.531 (44.168)	Prec@5 78.906 (74.823)
Epoch: [38][10320/14090]	Time 0.727 (0.764)	Data 0.001 (0.001)	Loss 2.1367 (2.2227)	Prec@1 50.000 (44.168)	Prec@5 80.469 (74.822)
Epoch: [38][10330/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 2.2904 (2.2227)	Prec@1 46.875 (44.168)	Prec@5 71.875 (74.821)
Epoch: [38][10340/14090]	Time 0.779 (0.764)	Data 0.001 (0.001)	Loss 2.2854 (2.2227)	Prec@1 41.406 (44.169)	Prec@5 73.438 (74.820)
Epoch: [38][10350/14090]	Time 0.744 (0.764)	Data 0.001 (0.001)	Loss 2.3372 (2.2229)	Prec@1 46.875 (44.167)	Prec@5 74.219 (74.818)
Epoch: [38][10360/14090]	Time 0.775 (0.764)	Data 0.001 (0.001)	Loss 2.2107 (2.2228)	Prec@1 42.969 (44.168)	Prec@5 77.344 (74.820)
Epoch: [38][10370/14090]	Time 0.833 (0.764)	Data 0.001 (0.001)	Loss 2.2961 (2.2227)	Prec@1 37.500 (44.169)	Prec@5 74.219 (74.822)
Epoch: [38][10380/14090]	Time 0.768 (0.764)	Data 0.001 (0.001)	Loss 2.4930 (2.2227)	Prec@1 37.500 (44.169)	Prec@5 64.844 (74.820)
Epoch: [38][10390/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 1.9450 (2.2226)	Prec@1 50.781 (44.172)	Prec@5 78.906 (74.821)
Epoch: [38][10400/14090]	Time 0.722 (0.764)	Data 0.001 (0.001)	Loss 2.3225 (2.2227)	Prec@1 43.750 (44.172)	Prec@5 71.094 (74.820)
Epoch: [38][10410/14090]	Time 0.762 (0.764)	Data 0.001 (0.001)	Loss 1.9233 (2.2227)	Prec@1 54.688 (44.171)	Prec@5 82.031 (74.821)
Epoch: [38][10420/14090]	Time 0.732 (0.764)	Data 0.000 (0.001)	Loss 2.5987 (2.2227)	Prec@1 35.938 (44.171)	Prec@5 64.062 (74.821)
Epoch: [38][10430/14090]	Time 0.732 (0.764)	Data 0.001 (0.001)	Loss 2.0577 (2.2227)	Prec@1 45.312 (44.172)	Prec@5 75.781 (74.822)
Epoch: [38][10440/14090]	Time 0.846 (0.764)	Data 0.001 (0.001)	Loss 1.9925 (2.2227)	Prec@1 49.219 (44.172)	Prec@5 78.125 (74.821)
Epoch: [38][10450/14090]	Time 0.735 (0.764)	Data 0.001 (0.001)	Loss 2.1514 (2.2226)	Prec@1 41.406 (44.172)	Prec@5 75.781 (74.821)
Epoch: [38][10460/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 2.0963 (2.2226)	Prec@1 46.875 (44.172)	Prec@5 77.344 (74.821)
Epoch: [38][10470/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 2.0709 (2.2227)	Prec@1 49.219 (44.172)	Prec@5 75.000 (74.820)
Epoch: [38][10480/14090]	Time 0.733 (0.764)	Data 0.001 (0.001)	Loss 2.3376 (2.2226)	Prec@1 43.750 (44.172)	Prec@5 74.219 (74.819)
Epoch: [38][10490/14090]	Time 0.762 (0.764)	Data 0.001 (0.001)	Loss 2.2520 (2.2226)	Prec@1 43.750 (44.173)	Prec@5 79.688 (74.820)
Epoch: [38][10500/14090]	Time 0.743 (0.764)	Data 0.001 (0.001)	Loss 2.2147 (2.2227)	Prec@1 39.062 (44.170)	Prec@5 77.344 (74.819)
Epoch: [38][10510/14090]	Time 0.807 (0.764)	Data 0.001 (0.001)	Loss 2.4672 (2.2227)	Prec@1 38.281 (44.167)	Prec@5 70.312 (74.817)
Epoch: [38][10520/14090]	Time 0.743 (0.764)	Data 0.001 (0.001)	Loss 2.1473 (2.2227)	Prec@1 42.969 (44.167)	Prec@5 76.562 (74.816)
Epoch: [38][10530/14090]	Time 0.736 (0.764)	Data 0.001 (0.001)	Loss 1.9678 (2.2227)	Prec@1 46.875 (44.166)	Prec@5 78.125 (74.816)
Epoch: [38][10540/14090]	Time 0.734 (0.764)	Data 0.001 (0.001)	Loss 2.3580 (2.2228)	Prec@1 44.531 (44.165)	Prec@5 66.406 (74.815)
Epoch: [38][10550/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 2.3153 (2.2227)	Prec@1 46.094 (44.166)	Prec@5 72.656 (74.815)
Epoch: [38][10560/14090]	Time 0.764 (0.764)	Data 0.001 (0.001)	Loss 2.2338 (2.2227)	Prec@1 43.750 (44.167)	Prec@5 77.344 (74.815)
Epoch: [38][10570/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 2.7152 (2.2228)	Prec@1 34.375 (44.166)	Prec@5 64.062 (74.814)
Epoch: [38][10580/14090]	Time 0.849 (0.764)	Data 0.001 (0.001)	Loss 1.8987 (2.2228)	Prec@1 50.000 (44.165)	Prec@5 82.031 (74.813)
Epoch: [38][10590/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 2.3460 (2.2228)	Prec@1 41.406 (44.166)	Prec@5 75.000 (74.813)
Epoch: [38][10600/14090]	Time 0.762 (0.764)	Data 0.001 (0.001)	Loss 2.3803 (2.2228)	Prec@1 38.281 (44.166)	Prec@5 71.875 (74.814)
Epoch: [38][10610/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.0827 (2.2228)	Prec@1 50.781 (44.166)	Prec@5 80.469 (74.815)
Epoch: [38][10620/14090]	Time 0.730 (0.764)	Data 0.001 (0.001)	Loss 2.3077 (2.2227)	Prec@1 39.844 (44.165)	Prec@5 76.562 (74.817)
Epoch: [38][10630/14090]	Time 0.735 (0.764)	Data 0.001 (0.001)	Loss 2.2243 (2.2227)	Prec@1 42.969 (44.164)	Prec@5 71.875 (74.817)
Epoch: [38][10640/14090]	Time 0.763 (0.764)	Data 0.001 (0.001)	Loss 2.1700 (2.2228)	Prec@1 42.188 (44.163)	Prec@5 76.562 (74.815)
Epoch: [38][10650/14090]	Time 0.864 (0.764)	Data 0.001 (0.001)	Loss 2.5855 (2.2228)	Prec@1 38.281 (44.161)	Prec@5 64.844 (74.813)
Epoch: [38][10660/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.2842 (2.2229)	Prec@1 39.062 (44.161)	Prec@5 75.781 (74.813)
Epoch: [38][10670/14090]	Time 0.725 (0.764)	Data 0.001 (0.001)	Loss 2.0335 (2.2228)	Prec@1 45.312 (44.163)	Prec@5 76.562 (74.814)
Epoch: [38][10680/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 2.2043 (2.2228)	Prec@1 44.531 (44.162)	Prec@5 76.562 (74.814)
Epoch: [38][10690/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 2.6395 (2.2229)	Prec@1 34.375 (44.160)	Prec@5 67.969 (74.812)
Epoch: [38][10700/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 2.1598 (2.2228)	Prec@1 50.000 (44.161)	Prec@5 74.219 (74.812)
Epoch: [38][10710/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 2.1728 (2.2228)	Prec@1 49.219 (44.162)	Prec@5 78.125 (74.814)
Epoch: [38][10720/14090]	Time 0.810 (0.764)	Data 0.001 (0.001)	Loss 2.4067 (2.2228)	Prec@1 39.062 (44.161)	Prec@5 67.188 (74.814)
Epoch: [38][10730/14090]	Time 0.782 (0.764)	Data 0.001 (0.001)	Loss 2.0657 (2.2227)	Prec@1 39.844 (44.162)	Prec@5 74.219 (74.813)
Epoch: [38][10740/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 2.1491 (2.2228)	Prec@1 53.125 (44.161)	Prec@5 77.344 (74.812)
Epoch: [38][10750/14090]	Time 0.782 (0.764)	Data 0.001 (0.001)	Loss 2.4105 (2.2228)	Prec@1 39.844 (44.160)	Prec@5 74.219 (74.811)
Epoch: [38][10760/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 2.4455 (2.2228)	Prec@1 42.188 (44.162)	Prec@5 71.875 (74.812)
Epoch: [38][10770/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 2.1850 (2.2228)	Prec@1 42.188 (44.163)	Prec@5 78.906 (74.813)
Epoch: [38][10780/14090]	Time 0.758 (0.764)	Data 0.001 (0.001)	Loss 2.6121 (2.2229)	Prec@1 32.812 (44.160)	Prec@5 67.969 (74.810)
Epoch: [38][10790/14090]	Time 0.869 (0.764)	Data 0.001 (0.001)	Loss 2.2383 (2.2228)	Prec@1 43.750 (44.161)	Prec@5 72.656 (74.812)
Epoch: [38][10800/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 2.2795 (2.2229)	Prec@1 42.188 (44.159)	Prec@5 73.438 (74.812)
Epoch: [38][10810/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 2.1442 (2.2228)	Prec@1 45.312 (44.159)	Prec@5 80.469 (74.813)
Epoch: [38][10820/14090]	Time 0.772 (0.764)	Data 0.001 (0.001)	Loss 2.1450 (2.2229)	Prec@1 41.406 (44.157)	Prec@5 76.562 (74.812)
Epoch: [38][10830/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 2.3962 (2.2228)	Prec@1 42.969 (44.159)	Prec@5 75.000 (74.813)
Epoch: [38][10840/14090]	Time 0.760 (0.764)	Data 0.001 (0.001)	Loss 2.2662 (2.2229)	Prec@1 38.281 (44.157)	Prec@5 71.875 (74.811)
Epoch: [38][10850/14090]	Time 0.729 (0.764)	Data 0.001 (0.001)	Loss 2.1253 (2.2229)	Prec@1 46.875 (44.157)	Prec@5 74.219 (74.812)
Epoch: [38][10860/14090]	Time 0.901 (0.764)	Data 0.001 (0.001)	Loss 2.2686 (2.2229)	Prec@1 45.312 (44.156)	Prec@5 75.000 (74.811)
Epoch: [38][10870/14090]	Time 0.727 (0.764)	Data 0.001 (0.001)	Loss 2.2379 (2.2230)	Prec@1 42.969 (44.155)	Prec@5 71.875 (74.809)
Epoch: [38][10880/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 2.0847 (2.2229)	Prec@1 42.188 (44.156)	Prec@5 78.906 (74.809)
Epoch: [38][10890/14090]	Time 0.777 (0.764)	Data 0.001 (0.001)	Loss 2.4078 (2.2230)	Prec@1 40.625 (44.154)	Prec@5 68.750 (74.808)
Epoch: [38][10900/14090]	Time 0.748 (0.764)	Data 0.001 (0.001)	Loss 2.1584 (2.2230)	Prec@1 39.062 (44.154)	Prec@5 77.344 (74.808)
Epoch: [38][10910/14090]	Time 0.745 (0.764)	Data 0.001 (0.001)	Loss 2.1455 (2.2230)	Prec@1 46.094 (44.154)	Prec@5 74.219 (74.807)
Epoch: [38][10920/14090]	Time 0.725 (0.764)	Data 0.001 (0.001)	Loss 2.1073 (2.2229)	Prec@1 46.094 (44.157)	Prec@5 75.000 (74.808)
Epoch: [38][10930/14090]	Time 0.876 (0.764)	Data 0.001 (0.001)	Loss 2.2223 (2.2229)	Prec@1 43.750 (44.157)	Prec@5 73.438 (74.808)
Epoch: [38][10940/14090]	Time 0.724 (0.764)	Data 0.001 (0.001)	Loss 2.1048 (2.2229)	Prec@1 42.188 (44.158)	Prec@5 72.656 (74.808)
Epoch: [38][10950/14090]	Time 0.728 (0.764)	Data 0.002 (0.001)	Loss 2.2480 (2.2229)	Prec@1 45.312 (44.159)	Prec@5 67.969 (74.807)
Epoch: [38][10960/14090]	Time 0.740 (0.764)	Data 0.001 (0.001)	Loss 2.5448 (2.2229)	Prec@1 36.719 (44.161)	Prec@5 66.406 (74.806)
Epoch: [38][10970/14090]	Time 0.730 (0.764)	Data 0.001 (0.001)	Loss 1.9301 (2.2229)	Prec@1 51.562 (44.161)	Prec@5 78.906 (74.807)
Epoch: [38][10980/14090]	Time 0.758 (0.764)	Data 0.001 (0.001)	Loss 2.1873 (2.2230)	Prec@1 44.531 (44.162)	Prec@5 75.000 (74.804)
Epoch: [38][10990/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 2.1598 (2.2230)	Prec@1 40.625 (44.161)	Prec@5 73.438 (74.805)
Epoch: [38][11000/14090]	Time 0.822 (0.764)	Data 0.001 (0.001)	Loss 2.0302 (2.2230)	Prec@1 44.531 (44.162)	Prec@5 83.594 (74.805)
Epoch: [38][11010/14090]	Time 0.743 (0.764)	Data 0.001 (0.001)	Loss 2.2116 (2.2230)	Prec@1 43.750 (44.163)	Prec@5 71.875 (74.806)
Epoch: [38][11020/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 2.2407 (2.2229)	Prec@1 45.312 (44.163)	Prec@5 73.438 (74.807)
Epoch: [38][11030/14090]	Time 0.743 (0.764)	Data 0.001 (0.001)	Loss 2.1714 (2.2228)	Prec@1 40.625 (44.164)	Prec@5 78.125 (74.808)
Epoch: [38][11040/14090]	Time 0.775 (0.764)	Data 0.001 (0.001)	Loss 2.1993 (2.2228)	Prec@1 43.750 (44.165)	Prec@5 74.219 (74.807)
Epoch: [38][11050/14090]	Time 0.745 (0.764)	Data 0.001 (0.001)	Loss 2.6049 (2.2229)	Prec@1 33.594 (44.164)	Prec@5 68.750 (74.806)
Epoch: [38][11060/14090]	Time 0.735 (0.764)	Data 0.001 (0.001)	Loss 2.1303 (2.2228)	Prec@1 45.312 (44.165)	Prec@5 80.469 (74.808)
Epoch: [38][11070/14090]	Time 0.837 (0.764)	Data 0.001 (0.001)	Loss 2.1661 (2.2228)	Prec@1 44.531 (44.162)	Prec@5 73.438 (74.809)
Epoch: [38][11080/14090]	Time 0.745 (0.764)	Data 0.001 (0.001)	Loss 2.2161 (2.2228)	Prec@1 39.844 (44.162)	Prec@5 75.781 (74.810)
Epoch: [38][11090/14090]	Time 0.739 (0.764)	Data 0.001 (0.001)	Loss 2.2633 (2.2229)	Prec@1 49.219 (44.160)	Prec@5 78.906 (74.810)
Epoch: [38][11100/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 2.2867 (2.2229)	Prec@1 42.188 (44.160)	Prec@5 76.562 (74.810)
Epoch: [38][11110/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 2.2155 (2.2230)	Prec@1 50.000 (44.159)	Prec@5 77.344 (74.808)
Epoch: [38][11120/14090]	Time 0.739 (0.764)	Data 0.001 (0.001)	Loss 2.1823 (2.2231)	Prec@1 42.188 (44.158)	Prec@5 75.000 (74.807)
Epoch: [38][11130/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 2.2943 (2.2231)	Prec@1 40.625 (44.157)	Prec@5 68.750 (74.806)
Epoch: [38][11140/14090]	Time 0.916 (0.764)	Data 0.001 (0.001)	Loss 2.3123 (2.2232)	Prec@1 37.500 (44.155)	Prec@5 73.438 (74.805)
Epoch: [38][11150/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 2.0843 (2.2231)	Prec@1 50.000 (44.156)	Prec@5 77.344 (74.806)
Epoch: [38][11160/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 2.5081 (2.2231)	Prec@1 39.062 (44.157)	Prec@5 66.406 (74.806)
Epoch: [38][11170/14090]	Time 0.734 (0.764)	Data 0.001 (0.001)	Loss 2.2295 (2.2232)	Prec@1 40.625 (44.154)	Prec@5 74.219 (74.805)
Epoch: [38][11180/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 1.9433 (2.2231)	Prec@1 51.562 (44.156)	Prec@5 81.250 (74.806)
Epoch: [38][11190/14090]	Time 0.724 (0.764)	Data 0.001 (0.001)	Loss 2.3446 (2.2232)	Prec@1 39.844 (44.156)	Prec@5 72.656 (74.804)
Epoch: [38][11200/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 2.3765 (2.2232)	Prec@1 42.188 (44.155)	Prec@5 74.219 (74.803)
Epoch: [38][11210/14090]	Time 0.878 (0.764)	Data 0.001 (0.001)	Loss 2.4075 (2.2232)	Prec@1 36.719 (44.155)	Prec@5 68.750 (74.803)
Epoch: [38][11220/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 2.1414 (2.2231)	Prec@1 42.969 (44.157)	Prec@5 75.781 (74.805)
Epoch: [38][11230/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 1.8947 (2.2230)	Prec@1 50.000 (44.158)	Prec@5 81.250 (74.806)
Epoch: [38][11240/14090]	Time 0.736 (0.764)	Data 0.001 (0.001)	Loss 2.2546 (2.2230)	Prec@1 42.969 (44.157)	Prec@5 75.781 (74.806)
Epoch: [38][11250/14090]	Time 0.763 (0.764)	Data 0.001 (0.001)	Loss 2.1792 (2.2231)	Prec@1 45.312 (44.155)	Prec@5 73.438 (74.804)
Epoch: [38][11260/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 2.4268 (2.2232)	Prec@1 40.625 (44.154)	Prec@5 72.656 (74.804)
Epoch: [38][11270/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 2.1627 (2.2231)	Prec@1 42.188 (44.153)	Prec@5 79.688 (74.806)
Epoch: [38][11280/14090]	Time 0.884 (0.764)	Data 0.001 (0.001)	Loss 2.1466 (2.2230)	Prec@1 46.094 (44.153)	Prec@5 71.875 (74.808)
Epoch: [38][11290/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 2.1992 (2.2230)	Prec@1 45.312 (44.153)	Prec@5 78.906 (74.809)
Epoch: [38][11300/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 2.1356 (2.2231)	Prec@1 48.438 (44.152)	Prec@5 75.000 (74.809)
Epoch: [38][11310/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.0187 (2.2231)	Prec@1 52.344 (44.151)	Prec@5 77.344 (74.807)
Epoch: [38][11320/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 2.4219 (2.2232)	Prec@1 42.188 (44.152)	Prec@5 71.094 (74.807)
Epoch: [38][11330/14090]	Time 0.730 (0.764)	Data 0.001 (0.001)	Loss 2.0370 (2.2232)	Prec@1 48.438 (44.153)	Prec@5 77.344 (74.806)
Epoch: [38][11340/14090]	Time 0.782 (0.764)	Data 0.001 (0.001)	Loss 1.9583 (2.2231)	Prec@1 47.656 (44.153)	Prec@5 78.906 (74.806)
Epoch: [38][11350/14090]	Time 0.851 (0.764)	Data 0.001 (0.001)	Loss 2.2115 (2.2232)	Prec@1 50.781 (44.152)	Prec@5 75.000 (74.806)
Epoch: [38][11360/14090]	Time 0.723 (0.764)	Data 0.001 (0.001)	Loss 2.0968 (2.2232)	Prec@1 49.219 (44.150)	Prec@5 75.000 (74.804)
Epoch: [38][11370/14090]	Time 0.725 (0.764)	Data 0.001 (0.001)	Loss 2.2060 (2.2231)	Prec@1 39.844 (44.151)	Prec@5 73.438 (74.805)
Epoch: [38][11380/14090]	Time 0.743 (0.764)	Data 0.001 (0.001)	Loss 2.2678 (2.2232)	Prec@1 47.656 (44.152)	Prec@5 74.219 (74.805)
Epoch: [38][11390/14090]	Time 0.736 (0.764)	Data 0.001 (0.001)	Loss 2.1882 (2.2231)	Prec@1 42.188 (44.153)	Prec@5 73.438 (74.805)
Epoch: [38][11400/14090]	Time 0.763 (0.764)	Data 0.001 (0.001)	Loss 2.0092 (2.2231)	Prec@1 47.656 (44.151)	Prec@5 78.125 (74.805)
Epoch: [38][11410/14090]	Time 0.777 (0.764)	Data 0.001 (0.001)	Loss 2.1571 (2.2232)	Prec@1 46.094 (44.149)	Prec@5 75.000 (74.804)
Epoch: [38][11420/14090]	Time 0.863 (0.764)	Data 0.001 (0.001)	Loss 2.1229 (2.2232)	Prec@1 42.969 (44.149)	Prec@5 75.000 (74.805)
Epoch: [38][11430/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 2.2439 (2.2232)	Prec@1 44.531 (44.149)	Prec@5 70.312 (74.805)
Epoch: [38][11440/14090]	Time 0.734 (0.764)	Data 0.001 (0.001)	Loss 2.3322 (2.2232)	Prec@1 41.406 (44.149)	Prec@5 73.438 (74.804)
Epoch: [38][11450/14090]	Time 0.732 (0.764)	Data 0.001 (0.001)	Loss 2.1420 (2.2231)	Prec@1 43.750 (44.149)	Prec@5 74.219 (74.804)
Epoch: [38][11460/14090]	Time 0.728 (0.764)	Data 0.001 (0.001)	Loss 2.3899 (2.2231)	Prec@1 43.750 (44.149)	Prec@5 74.219 (74.804)
Epoch: [38][11470/14090]	Time 0.779 (0.764)	Data 0.001 (0.001)	Loss 1.7920 (2.2232)	Prec@1 57.031 (44.151)	Prec@5 82.031 (74.802)
Epoch: [38][11480/14090]	Time 0.760 (0.764)	Data 0.001 (0.001)	Loss 2.2471 (2.2232)	Prec@1 46.875 (44.151)	Prec@5 71.094 (74.802)
Epoch: [38][11490/14090]	Time 0.823 (0.764)	Data 0.001 (0.001)	Loss 2.2349 (2.2232)	Prec@1 37.500 (44.151)	Prec@5 75.000 (74.802)
Epoch: [38][11500/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 2.2269 (2.2231)	Prec@1 43.750 (44.152)	Prec@5 76.562 (74.803)
Epoch: [38][11510/14090]	Time 0.746 (0.764)	Data 0.001 (0.001)	Loss 2.2877 (2.2230)	Prec@1 47.656 (44.155)	Prec@5 74.219 (74.805)
Epoch: [38][11520/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 2.2507 (2.2230)	Prec@1 46.094 (44.156)	Prec@5 72.656 (74.805)
Epoch: [38][11530/14090]	Time 0.730 (0.764)	Data 0.001 (0.001)	Loss 2.4209 (2.2230)	Prec@1 40.625 (44.154)	Prec@5 71.094 (74.805)
Epoch: [38][11540/14090]	Time 0.760 (0.764)	Data 0.001 (0.001)	Loss 2.2754 (2.2230)	Prec@1 42.969 (44.153)	Prec@5 72.656 (74.804)
Epoch: [38][11550/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 1.9773 (2.2230)	Prec@1 49.219 (44.155)	Prec@5 76.562 (74.804)
Epoch: [38][11560/14090]	Time 0.827 (0.764)	Data 0.001 (0.001)	Loss 2.0245 (2.2231)	Prec@1 48.438 (44.156)	Prec@5 75.781 (74.804)
Epoch: [38][11570/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 2.0968 (2.2230)	Prec@1 47.656 (44.157)	Prec@5 81.250 (74.805)
Epoch: [38][11580/14090]	Time 0.739 (0.764)	Data 0.001 (0.001)	Loss 2.0173 (2.2230)	Prec@1 51.562 (44.156)	Prec@5 79.688 (74.805)
Epoch: [38][11590/14090]	Time 0.728 (0.764)	Data 0.001 (0.001)	Loss 2.3042 (2.2231)	Prec@1 40.625 (44.155)	Prec@5 74.219 (74.804)
Epoch: [38][11600/14090]	Time 0.765 (0.764)	Data 0.001 (0.001)	Loss 2.1721 (2.2231)	Prec@1 42.969 (44.154)	Prec@5 73.438 (74.803)
Epoch: [38][11610/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 2.5747 (2.2232)	Prec@1 40.625 (44.153)	Prec@5 74.219 (74.803)
Epoch: [38][11620/14090]	Time 0.725 (0.764)	Data 0.001 (0.001)	Loss 2.0806 (2.2232)	Prec@1 45.312 (44.153)	Prec@5 77.344 (74.803)
Epoch: [38][11630/14090]	Time 0.841 (0.764)	Data 0.001 (0.001)	Loss 2.2756 (2.2231)	Prec@1 39.062 (44.154)	Prec@5 71.875 (74.803)
Epoch: [38][11640/14090]	Time 0.727 (0.764)	Data 0.001 (0.001)	Loss 2.3299 (2.2232)	Prec@1 45.312 (44.154)	Prec@5 75.781 (74.800)
Epoch: [38][11650/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 2.1761 (2.2233)	Prec@1 41.406 (44.153)	Prec@5 79.688 (74.800)
Epoch: [38][11660/14090]	Time 0.761 (0.764)	Data 0.001 (0.001)	Loss 2.4172 (2.2233)	Prec@1 38.281 (44.152)	Prec@5 70.312 (74.799)
Epoch: [38][11670/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 2.2985 (2.2233)	Prec@1 39.062 (44.152)	Prec@5 75.000 (74.799)
Epoch: [38][11680/14090]	Time 0.728 (0.764)	Data 0.001 (0.001)	Loss 2.2273 (2.2233)	Prec@1 41.406 (44.153)	Prec@5 75.000 (74.800)
Epoch: [38][11690/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 2.5013 (2.2235)	Prec@1 38.281 (44.151)	Prec@5 67.969 (74.798)
Epoch: [38][11700/14090]	Time 0.882 (0.764)	Data 0.001 (0.001)	Loss 2.0054 (2.2235)	Prec@1 44.531 (44.150)	Prec@5 74.219 (74.797)
Epoch: [38][11710/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 1.9776 (2.2234)	Prec@1 52.344 (44.150)	Prec@5 80.469 (74.798)
Epoch: [38][11720/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 2.4754 (2.2234)	Prec@1 38.281 (44.150)	Prec@5 69.531 (74.797)
Epoch: [38][11730/14090]	Time 0.728 (0.764)	Data 0.001 (0.001)	Loss 2.2437 (2.2234)	Prec@1 42.188 (44.149)	Prec@5 75.000 (74.797)
Epoch: [38][11740/14090]	Time 0.743 (0.764)	Data 0.001 (0.001)	Loss 1.9545 (2.2234)	Prec@1 46.875 (44.149)	Prec@5 79.688 (74.798)
Epoch: [38][11750/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 2.0807 (2.2235)	Prec@1 48.438 (44.148)	Prec@5 76.562 (74.797)
Epoch: [38][11760/14090]	Time 0.725 (0.764)	Data 0.001 (0.001)	Loss 2.1284 (2.2234)	Prec@1 46.094 (44.149)	Prec@5 75.000 (74.797)
Epoch: [38][11770/14090]	Time 0.846 (0.764)	Data 0.001 (0.001)	Loss 2.4875 (2.2235)	Prec@1 39.062 (44.147)	Prec@5 75.781 (74.796)
Epoch: [38][11780/14090]	Time 0.743 (0.764)	Data 0.001 (0.001)	Loss 2.2876 (2.2235)	Prec@1 42.188 (44.147)	Prec@5 75.000 (74.797)
Epoch: [38][11790/14090]	Time 0.727 (0.764)	Data 0.001 (0.001)	Loss 2.4042 (2.2236)	Prec@1 42.969 (44.145)	Prec@5 70.312 (74.796)
Epoch: [38][11800/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 2.0206 (2.2236)	Prec@1 52.344 (44.145)	Prec@5 75.000 (74.795)
Epoch: [38][11810/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 2.2807 (2.2236)	Prec@1 43.750 (44.146)	Prec@5 77.344 (74.795)
Epoch: [38][11820/14090]	Time 0.730 (0.764)	Data 0.001 (0.001)	Loss 2.4031 (2.2237)	Prec@1 42.969 (44.144)	Prec@5 71.875 (74.794)
Epoch: [38][11830/14090]	Time 0.736 (0.764)	Data 0.001 (0.001)	Loss 2.1047 (2.2237)	Prec@1 44.531 (44.144)	Prec@5 76.562 (74.795)
Epoch: [38][11840/14090]	Time 0.826 (0.764)	Data 0.001 (0.001)	Loss 2.1979 (2.2237)	Prec@1 43.750 (44.144)	Prec@5 75.000 (74.795)
Epoch: [38][11850/14090]	Time 0.743 (0.764)	Data 0.001 (0.001)	Loss 2.2370 (2.2237)	Prec@1 41.406 (44.143)	Prec@5 75.781 (74.795)
Epoch: [38][11860/14090]	Time 0.725 (0.764)	Data 0.001 (0.001)	Loss 2.1979 (2.2237)	Prec@1 45.312 (44.143)	Prec@5 74.219 (74.793)
Epoch: [38][11870/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 2.3883 (2.2239)	Prec@1 42.969 (44.141)	Prec@5 68.750 (74.792)
Epoch: [38][11880/14090]	Time 0.721 (0.764)	Data 0.001 (0.001)	Loss 2.0763 (2.2238)	Prec@1 46.875 (44.142)	Prec@5 78.125 (74.793)
Epoch: [38][11890/14090]	Time 0.763 (0.764)	Data 0.001 (0.001)	Loss 2.2217 (2.2238)	Prec@1 41.406 (44.142)	Prec@5 75.781 (74.793)
Epoch: [38][11900/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 1.7377 (2.2238)	Prec@1 50.781 (44.143)	Prec@5 81.250 (74.794)
Epoch: [38][11910/14090]	Time 0.870 (0.764)	Data 0.001 (0.001)	Loss 2.3675 (2.2237)	Prec@1 36.719 (44.142)	Prec@5 71.094 (74.795)
Epoch: [38][11920/14090]	Time 0.774 (0.764)	Data 0.001 (0.001)	Loss 2.3341 (2.2238)	Prec@1 39.062 (44.140)	Prec@5 75.000 (74.796)
Epoch: [38][11930/14090]	Time 0.723 (0.764)	Data 0.001 (0.001)	Loss 2.0863 (2.2237)	Prec@1 54.688 (44.142)	Prec@5 75.000 (74.797)
Epoch: [38][11940/14090]	Time 0.748 (0.764)	Data 0.001 (0.001)	Loss 2.3332 (2.2237)	Prec@1 36.719 (44.140)	Prec@5 71.875 (74.797)
Epoch: [38][11950/14090]	Time 0.727 (0.764)	Data 0.001 (0.001)	Loss 2.2419 (2.2238)	Prec@1 40.625 (44.139)	Prec@5 69.531 (74.795)
Epoch: [38][11960/14090]	Time 0.759 (0.764)	Data 0.001 (0.001)	Loss 2.2478 (2.2238)	Prec@1 42.188 (44.137)	Prec@5 74.219 (74.795)
Epoch: [38][11970/14090]	Time 0.773 (0.764)	Data 0.001 (0.001)	Loss 2.3669 (2.2238)	Prec@1 39.062 (44.137)	Prec@5 71.094 (74.794)
Epoch: [38][11980/14090]	Time 0.861 (0.764)	Data 0.001 (0.001)	Loss 2.1573 (2.2238)	Prec@1 46.094 (44.139)	Prec@5 75.781 (74.795)
Epoch: [38][11990/14090]	Time 0.771 (0.764)	Data 0.001 (0.001)	Loss 2.0343 (2.2237)	Prec@1 47.656 (44.141)	Prec@5 82.031 (74.796)
Epoch: [38][12000/14090]	Time 0.733 (0.764)	Data 0.001 (0.001)	Loss 2.2271 (2.2237)	Prec@1 44.531 (44.141)	Prec@5 73.438 (74.795)
Epoch: [38][12010/14090]	Time 0.762 (0.764)	Data 0.001 (0.001)	Loss 2.1891 (2.2237)	Prec@1 45.312 (44.142)	Prec@5 74.219 (74.796)
Epoch: [38][12020/14090]	Time 0.744 (0.764)	Data 0.001 (0.001)	Loss 2.1340 (2.2236)	Prec@1 42.969 (44.143)	Prec@5 77.344 (74.796)
Epoch: [38][12030/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 2.2831 (2.2237)	Prec@1 42.188 (44.142)	Prec@5 73.438 (74.796)
Epoch: [38][12040/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 2.0032 (2.2237)	Prec@1 50.781 (44.143)	Prec@5 79.688 (74.797)
Epoch: [38][12050/14090]	Time 0.850 (0.764)	Data 0.001 (0.001)	Loss 2.0720 (2.2237)	Prec@1 42.188 (44.140)	Prec@5 78.906 (74.796)
Epoch: [38][12060/14090]	Time 0.735 (0.764)	Data 0.001 (0.001)	Loss 2.2794 (2.2237)	Prec@1 46.094 (44.141)	Prec@5 73.438 (74.796)
Epoch: [38][12070/14090]	Time 0.729 (0.764)	Data 0.001 (0.001)	Loss 2.1780 (2.2237)	Prec@1 48.438 (44.141)	Prec@5 70.312 (74.795)
Epoch: [38][12080/14090]	Time 0.766 (0.764)	Data 0.001 (0.001)	Loss 2.1182 (2.2237)	Prec@1 47.656 (44.141)	Prec@5 78.125 (74.795)
Epoch: [38][12090/14090]	Time 0.732 (0.764)	Data 0.001 (0.001)	Loss 2.3516 (2.2238)	Prec@1 41.406 (44.137)	Prec@5 76.562 (74.793)
Epoch: [38][12100/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 1.9507 (2.2238)	Prec@1 50.000 (44.137)	Prec@5 81.250 (74.794)
Epoch: [38][12110/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 2.4632 (2.2239)	Prec@1 38.281 (44.136)	Prec@5 71.094 (74.793)
Epoch: [38][12120/14090]	Time 0.870 (0.764)	Data 0.001 (0.001)	Loss 2.4298 (2.2239)	Prec@1 35.156 (44.136)	Prec@5 73.438 (74.794)
Epoch: [38][12130/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 2.3610 (2.2239)	Prec@1 46.094 (44.136)	Prec@5 75.000 (74.794)
Epoch: [38][12140/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 2.3339 (2.2240)	Prec@1 42.969 (44.135)	Prec@5 73.438 (74.793)
Epoch: [38][12150/14090]	Time 0.744 (0.764)	Data 0.001 (0.001)	Loss 2.3526 (2.2240)	Prec@1 35.156 (44.136)	Prec@5 78.906 (74.792)
Epoch: [38][12160/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 2.2850 (2.2240)	Prec@1 43.750 (44.134)	Prec@5 72.656 (74.791)
Epoch: [38][12170/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.1252 (2.2240)	Prec@1 49.219 (44.134)	Prec@5 78.906 (74.791)
Epoch: [38][12180/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 2.5384 (2.2240)	Prec@1 35.938 (44.134)	Prec@5 69.531 (74.791)
Epoch: [38][12190/14090]	Time 0.869 (0.764)	Data 0.001 (0.001)	Loss 2.1730 (2.2240)	Prec@1 46.094 (44.133)	Prec@5 76.562 (74.790)
Epoch: [38][12200/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 2.1541 (2.2240)	Prec@1 46.094 (44.134)	Prec@5 77.344 (74.791)
Epoch: [38][12210/14090]	Time 0.732 (0.764)	Data 0.001 (0.001)	Loss 2.3133 (2.2240)	Prec@1 39.062 (44.134)	Prec@5 71.875 (74.791)
Epoch: [38][12220/14090]	Time 0.733 (0.764)	Data 0.001 (0.001)	Loss 2.1584 (2.2241)	Prec@1 42.969 (44.135)	Prec@5 76.562 (74.790)
Epoch: [38][12230/14090]	Time 0.770 (0.764)	Data 0.001 (0.001)	Loss 1.9666 (2.2241)	Prec@1 51.562 (44.134)	Prec@5 75.000 (74.788)
Epoch: [38][12240/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 2.0945 (2.2241)	Prec@1 50.000 (44.133)	Prec@5 79.688 (74.788)
Epoch: [38][12250/14090]	Time 0.730 (0.764)	Data 0.001 (0.001)	Loss 2.0799 (2.2241)	Prec@1 39.844 (44.135)	Prec@5 78.125 (74.787)
Epoch: [38][12260/14090]	Time 0.960 (0.764)	Data 0.001 (0.001)	Loss 2.7209 (2.2241)	Prec@1 38.281 (44.135)	Prec@5 71.875 (74.788)
Epoch: [38][12270/14090]	Time 0.736 (0.764)	Data 0.001 (0.001)	Loss 2.2375 (2.2241)	Prec@1 47.656 (44.136)	Prec@5 75.000 (74.787)
Epoch: [38][12280/14090]	Time 0.740 (0.764)	Data 0.001 (0.001)	Loss 2.5309 (2.2241)	Prec@1 42.969 (44.136)	Prec@5 70.312 (74.786)
Epoch: [38][12290/14090]	Time 0.745 (0.764)	Data 0.001 (0.001)	Loss 2.3048 (2.2242)	Prec@1 42.188 (44.136)	Prec@5 75.781 (74.784)
Epoch: [38][12300/14090]	Time 0.758 (0.764)	Data 0.001 (0.001)	Loss 2.1893 (2.2242)	Prec@1 43.750 (44.136)	Prec@5 74.219 (74.783)
Epoch: [38][12310/14090]	Time 0.758 (0.764)	Data 0.001 (0.001)	Loss 2.2103 (2.2242)	Prec@1 41.406 (44.136)	Prec@5 76.562 (74.784)
Epoch: [38][12320/14090]	Time 0.721 (0.764)	Data 0.001 (0.001)	Loss 1.8925 (2.2240)	Prec@1 50.781 (44.137)	Prec@5 78.125 (74.787)
Epoch: [38][12330/14090]	Time 0.847 (0.764)	Data 0.001 (0.001)	Loss 1.9689 (2.2240)	Prec@1 49.219 (44.138)	Prec@5 81.250 (74.786)
Epoch: [38][12340/14090]	Time 0.778 (0.764)	Data 0.001 (0.001)	Loss 2.2974 (2.2241)	Prec@1 42.188 (44.136)	Prec@5 75.000 (74.785)
Epoch: [38][12350/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 1.9937 (2.2241)	Prec@1 43.750 (44.136)	Prec@5 83.594 (74.785)
Epoch: [38][12360/14090]	Time 0.725 (0.764)	Data 0.001 (0.001)	Loss 2.3465 (2.2241)	Prec@1 41.406 (44.135)	Prec@5 71.875 (74.785)
Epoch: [38][12370/14090]	Time 0.746 (0.764)	Data 0.001 (0.001)	Loss 2.3360 (2.2241)	Prec@1 41.406 (44.134)	Prec@5 75.781 (74.786)
Epoch: [38][12380/14090]	Time 0.745 (0.764)	Data 0.001 (0.001)	Loss 2.6666 (2.2242)	Prec@1 36.719 (44.133)	Prec@5 65.625 (74.785)
Epoch: [38][12390/14090]	Time 0.745 (0.764)	Data 0.001 (0.001)	Loss 2.2416 (2.2242)	Prec@1 41.406 (44.134)	Prec@5 71.094 (74.783)
Epoch: [38][12400/14090]	Time 0.824 (0.764)	Data 0.001 (0.001)	Loss 2.0993 (2.2243)	Prec@1 42.969 (44.133)	Prec@5 78.125 (74.783)
Epoch: [38][12410/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 2.1056 (2.2243)	Prec@1 44.531 (44.132)	Prec@5 75.781 (74.783)
Epoch: [38][12420/14090]	Time 0.729 (0.764)	Data 0.001 (0.001)	Loss 2.1444 (2.2243)	Prec@1 50.781 (44.133)	Prec@5 78.125 (74.783)
Epoch: [38][12430/14090]	Time 0.745 (0.764)	Data 0.001 (0.001)	Loss 2.2511 (2.2243)	Prec@1 47.656 (44.133)	Prec@5 75.000 (74.785)
Epoch: [38][12440/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 2.4385 (2.2244)	Prec@1 39.062 (44.132)	Prec@5 72.656 (74.784)
Epoch: [38][12450/14090]	Time 0.743 (0.764)	Data 0.001 (0.001)	Loss 1.8260 (2.2244)	Prec@1 52.344 (44.132)	Prec@5 84.375 (74.783)
Epoch: [38][12460/14090]	Time 0.761 (0.764)	Data 0.002 (0.001)	Loss 2.0678 (2.2244)	Prec@1 46.875 (44.132)	Prec@5 77.344 (74.784)
Epoch: [38][12470/14090]	Time 0.839 (0.764)	Data 0.001 (0.001)	Loss 2.0248 (2.2244)	Prec@1 45.312 (44.132)	Prec@5 80.469 (74.785)
Epoch: [38][12480/14090]	Time 0.743 (0.764)	Data 0.001 (0.001)	Loss 2.5064 (2.2244)	Prec@1 38.281 (44.132)	Prec@5 74.219 (74.784)
Epoch: [38][12490/14090]	Time 0.763 (0.764)	Data 0.001 (0.001)	Loss 2.3951 (2.2245)	Prec@1 39.844 (44.130)	Prec@5 70.312 (74.782)
Epoch: [38][12500/14090]	Time 0.746 (0.764)	Data 0.001 (0.001)	Loss 2.2727 (2.2245)	Prec@1 42.969 (44.129)	Prec@5 67.969 (74.782)
Epoch: [38][12510/14090]	Time 0.759 (0.764)	Data 0.001 (0.001)	Loss 2.4248 (2.2245)	Prec@1 40.625 (44.129)	Prec@5 74.219 (74.781)
Epoch: [38][12520/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 2.1277 (2.2245)	Prec@1 48.438 (44.131)	Prec@5 75.000 (74.782)
Epoch: [38][12530/14090]	Time 0.723 (0.764)	Data 0.001 (0.001)	Loss 2.3955 (2.2245)	Prec@1 38.281 (44.129)	Prec@5 71.875 (74.781)
Epoch: [38][12540/14090]	Time 0.884 (0.764)	Data 0.001 (0.001)	Loss 2.0340 (2.2245)	Prec@1 50.000 (44.130)	Prec@5 77.344 (74.781)
Epoch: [38][12550/14090]	Time 0.744 (0.764)	Data 0.001 (0.001)	Loss 2.2697 (2.2245)	Prec@1 43.750 (44.127)	Prec@5 75.781 (74.780)
Epoch: [38][12560/14090]	Time 0.748 (0.764)	Data 0.001 (0.001)	Loss 2.3427 (2.2245)	Prec@1 41.406 (44.127)	Prec@5 72.656 (74.780)
Epoch: [38][12570/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 2.0283 (2.2245)	Prec@1 41.406 (44.127)	Prec@5 76.562 (74.780)
Epoch: [38][12580/14090]	Time 0.730 (0.764)	Data 0.001 (0.001)	Loss 1.7986 (2.2245)	Prec@1 53.906 (44.125)	Prec@5 79.688 (74.779)
Epoch: [38][12590/14090]	Time 0.723 (0.764)	Data 0.001 (0.001)	Loss 2.2028 (2.2246)	Prec@1 44.531 (44.124)	Prec@5 71.875 (74.779)
Epoch: [38][12600/14090]	Time 0.736 (0.764)	Data 0.001 (0.001)	Loss 2.0354 (2.2246)	Prec@1 47.656 (44.125)	Prec@5 80.469 (74.778)
Epoch: [38][12610/14090]	Time 0.868 (0.764)	Data 0.001 (0.001)	Loss 1.9755 (2.2245)	Prec@1 48.438 (44.125)	Prec@5 78.125 (74.779)
Epoch: [38][12620/14090]	Time 0.727 (0.764)	Data 0.001 (0.001)	Loss 2.2313 (2.2245)	Prec@1 46.094 (44.125)	Prec@5 73.438 (74.779)
Epoch: [38][12630/14090]	Time 0.733 (0.764)	Data 0.001 (0.001)	Loss 2.0823 (2.2245)	Prec@1 46.094 (44.126)	Prec@5 77.344 (74.780)
Epoch: [38][12640/14090]	Time 0.728 (0.764)	Data 0.001 (0.001)	Loss 2.0180 (2.2245)	Prec@1 46.875 (44.127)	Prec@5 75.781 (74.779)
Epoch: [38][12650/14090]	Time 0.727 (0.764)	Data 0.001 (0.001)	Loss 2.3238 (2.2245)	Prec@1 44.531 (44.127)	Prec@5 75.781 (74.778)
Epoch: [38][12660/14090]	Time 0.740 (0.764)	Data 0.001 (0.001)	Loss 2.2815 (2.2245)	Prec@1 41.406 (44.126)	Prec@5 76.562 (74.778)
Epoch: [38][12670/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 2.3744 (2.2245)	Prec@1 40.625 (44.125)	Prec@5 71.875 (74.778)
Epoch: [38][12680/14090]	Time 0.836 (0.764)	Data 0.001 (0.001)	Loss 1.9718 (2.2245)	Prec@1 47.656 (44.125)	Prec@5 76.562 (74.778)
Epoch: [38][12690/14090]	Time 0.730 (0.764)	Data 0.001 (0.001)	Loss 2.3097 (2.2245)	Prec@1 44.531 (44.125)	Prec@5 71.875 (74.779)
Epoch: [38][12700/14090]	Time 0.761 (0.764)	Data 0.001 (0.001)	Loss 2.5415 (2.2245)	Prec@1 38.281 (44.124)	Prec@5 70.312 (74.776)
Epoch: [38][12710/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 2.0925 (2.2246)	Prec@1 42.969 (44.124)	Prec@5 77.344 (74.777)
Epoch: [38][12720/14090]	Time 0.722 (0.764)	Data 0.001 (0.001)	Loss 2.0076 (2.2246)	Prec@1 50.781 (44.122)	Prec@5 81.250 (74.776)
Epoch: [38][12730/14090]	Time 0.759 (0.764)	Data 0.001 (0.001)	Loss 2.2449 (2.2247)	Prec@1 39.062 (44.121)	Prec@5 75.000 (74.775)
Epoch: [38][12740/14090]	Time 0.736 (0.764)	Data 0.001 (0.001)	Loss 2.4498 (2.2246)	Prec@1 48.438 (44.124)	Prec@5 71.875 (74.778)
Epoch: [38][12750/14090]	Time 0.826 (0.764)	Data 0.001 (0.001)	Loss 2.2149 (2.2246)	Prec@1 46.875 (44.123)	Prec@5 75.000 (74.777)
Epoch: [38][12760/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.2713 (2.2246)	Prec@1 42.188 (44.122)	Prec@5 77.344 (74.777)
Epoch: [38][12770/14090]	Time 0.768 (0.764)	Data 0.001 (0.001)	Loss 2.1586 (2.2247)	Prec@1 46.094 (44.121)	Prec@5 73.438 (74.775)
Epoch: [38][12780/14090]	Time 0.745 (0.764)	Data 0.001 (0.001)	Loss 2.3062 (2.2247)	Prec@1 44.531 (44.120)	Prec@5 74.219 (74.774)
Epoch: [38][12790/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 2.0129 (2.2247)	Prec@1 52.344 (44.122)	Prec@5 77.344 (74.776)
Epoch: [38][12800/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.4357 (2.2248)	Prec@1 42.969 (44.122)	Prec@5 71.875 (74.774)
Epoch: [38][12810/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 2.2455 (2.2248)	Prec@1 42.188 (44.121)	Prec@5 78.125 (74.774)
Epoch: [38][12820/14090]	Time 0.946 (0.764)	Data 0.001 (0.001)	Loss 2.2358 (2.2248)	Prec@1 45.312 (44.122)	Prec@5 73.438 (74.773)
Epoch: [38][12830/14090]	Time 0.735 (0.764)	Data 0.001 (0.001)	Loss 2.2079 (2.2248)	Prec@1 41.406 (44.123)	Prec@5 74.219 (74.773)
Epoch: [38][12840/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 2.1351 (2.2247)	Prec@1 42.969 (44.123)	Prec@5 80.469 (74.775)
Epoch: [38][12850/14090]	Time 0.759 (0.764)	Data 0.001 (0.001)	Loss 2.3787 (2.2247)	Prec@1 40.625 (44.124)	Prec@5 67.188 (74.775)
Epoch: [38][12860/14090]	Time 0.734 (0.764)	Data 0.001 (0.001)	Loss 2.2552 (2.2247)	Prec@1 37.500 (44.122)	Prec@5 74.219 (74.775)
Epoch: [38][12870/14090]	Time 0.748 (0.764)	Data 0.001 (0.001)	Loss 2.2636 (2.2247)	Prec@1 42.188 (44.124)	Prec@5 69.531 (74.774)
Epoch: [38][12880/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 2.1675 (2.2247)	Prec@1 46.094 (44.124)	Prec@5 75.000 (74.773)
Epoch: [38][12890/14090]	Time 0.835 (0.764)	Data 0.001 (0.001)	Loss 2.4738 (2.2247)	Prec@1 39.062 (44.124)	Prec@5 67.188 (74.773)
Epoch: [38][12900/14090]	Time 0.733 (0.764)	Data 0.001 (0.001)	Loss 2.3556 (2.2248)	Prec@1 42.188 (44.122)	Prec@5 70.312 (74.770)
Epoch: [38][12910/14090]	Time 0.726 (0.764)	Data 0.001 (0.001)	Loss 2.4957 (2.2248)	Prec@1 42.969 (44.123)	Prec@5 67.969 (74.770)
Epoch: [38][12920/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 2.1342 (2.2248)	Prec@1 46.875 (44.123)	Prec@5 82.812 (74.771)
Epoch: [38][12930/14090]	Time 0.748 (0.764)	Data 0.001 (0.001)	Loss 2.2911 (2.2248)	Prec@1 39.844 (44.122)	Prec@5 73.438 (74.771)
Epoch: [38][12940/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 2.1364 (2.2248)	Prec@1 48.438 (44.123)	Prec@5 79.688 (74.771)
Epoch: [38][12950/14090]	Time 0.728 (0.764)	Data 0.001 (0.001)	Loss 2.2478 (2.2248)	Prec@1 41.406 (44.123)	Prec@5 77.344 (74.772)
Epoch: [38][12960/14090]	Time 0.856 (0.764)	Data 0.001 (0.001)	Loss 2.3154 (2.2248)	Prec@1 40.625 (44.124)	Prec@5 69.531 (74.771)
Epoch: [38][12970/14090]	Time 0.744 (0.764)	Data 0.001 (0.001)	Loss 2.3331 (2.2248)	Prec@1 46.875 (44.123)	Prec@5 74.219 (74.771)
Epoch: [38][12980/14090]	Time 0.727 (0.764)	Data 0.001 (0.001)	Loss 2.3463 (2.2248)	Prec@1 40.625 (44.121)	Prec@5 75.000 (74.772)
Epoch: [38][12990/14090]	Time 0.732 (0.764)	Data 0.001 (0.001)	Loss 2.1402 (2.2247)	Prec@1 46.094 (44.122)	Prec@5 77.344 (74.774)
Epoch: [38][13000/14090]	Time 0.725 (0.764)	Data 0.001 (0.001)	Loss 2.5280 (2.2248)	Prec@1 35.156 (44.121)	Prec@5 73.438 (74.774)
Epoch: [38][13010/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 2.1599 (2.2247)	Prec@1 44.531 (44.122)	Prec@5 77.344 (74.775)
Epoch: [38][13020/14090]	Time 0.722 (0.764)	Data 0.001 (0.001)	Loss 2.3576 (2.2247)	Prec@1 42.188 (44.124)	Prec@5 75.000 (74.776)
Epoch: [38][13030/14090]	Time 0.876 (0.764)	Data 0.001 (0.001)	Loss 2.0997 (2.2247)	Prec@1 50.000 (44.124)	Prec@5 75.781 (74.777)
Epoch: [38][13040/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 1.8453 (2.2247)	Prec@1 49.219 (44.125)	Prec@5 83.594 (74.776)
Epoch: [38][13050/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 2.1669 (2.2247)	Prec@1 41.406 (44.125)	Prec@5 77.344 (74.777)
Epoch: [38][13060/14090]	Time 0.733 (0.764)	Data 0.001 (0.001)	Loss 2.5178 (2.2247)	Prec@1 40.625 (44.123)	Prec@5 73.438 (74.776)
Epoch: [38][13070/14090]	Time 0.758 (0.764)	Data 0.001 (0.001)	Loss 1.9663 (2.2247)	Prec@1 46.094 (44.122)	Prec@5 78.125 (74.776)
Epoch: [38][13080/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 2.0840 (2.2247)	Prec@1 51.562 (44.123)	Prec@5 78.906 (74.777)
Epoch: [38][13090/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 2.3669 (2.2248)	Prec@1 44.531 (44.122)	Prec@5 71.875 (74.776)
Epoch: [38][13100/14090]	Time 0.880 (0.764)	Data 0.001 (0.001)	Loss 2.1737 (2.2248)	Prec@1 46.875 (44.121)	Prec@5 75.781 (74.775)
Epoch: [38][13110/14090]	Time 0.740 (0.764)	Data 0.001 (0.001)	Loss 2.4151 (2.2249)	Prec@1 41.406 (44.120)	Prec@5 72.656 (74.774)
Epoch: [38][13120/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 2.0231 (2.2248)	Prec@1 50.781 (44.122)	Prec@5 83.594 (74.775)
Epoch: [38][13130/14090]	Time 0.740 (0.764)	Data 0.001 (0.001)	Loss 2.2181 (2.2248)	Prec@1 45.312 (44.122)	Prec@5 76.562 (74.775)
Epoch: [38][13140/14090]	Time 0.767 (0.764)	Data 0.001 (0.001)	Loss 1.8726 (2.2248)	Prec@1 52.344 (44.122)	Prec@5 82.031 (74.775)
Epoch: [38][13150/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 2.2719 (2.2248)	Prec@1 46.094 (44.123)	Prec@5 73.438 (74.776)
Epoch: [38][13160/14090]	Time 0.729 (0.764)	Data 0.001 (0.001)	Loss 2.2820 (2.2248)	Prec@1 43.750 (44.124)	Prec@5 74.219 (74.777)
Epoch: [38][13170/14090]	Time 0.849 (0.764)	Data 0.001 (0.001)	Loss 2.3937 (2.2248)	Prec@1 37.500 (44.123)	Prec@5 65.625 (74.777)
Epoch: [38][13180/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 2.2052 (2.2248)	Prec@1 39.844 (44.124)	Prec@5 77.344 (74.777)
Epoch: [38][13190/14090]	Time 0.725 (0.764)	Data 0.001 (0.001)	Loss 2.3726 (2.2247)	Prec@1 42.188 (44.127)	Prec@5 75.000 (74.778)
Epoch: [38][13200/14090]	Time 0.773 (0.764)	Data 0.001 (0.001)	Loss 2.2569 (2.2247)	Prec@1 42.188 (44.127)	Prec@5 75.000 (74.777)
Epoch: [38][13210/14090]	Time 0.722 (0.764)	Data 0.001 (0.001)	Loss 2.3656 (2.2248)	Prec@1 40.625 (44.126)	Prec@5 71.094 (74.776)
Epoch: [38][13220/14090]	Time 0.728 (0.764)	Data 0.001 (0.001)	Loss 2.2446 (2.2249)	Prec@1 43.750 (44.124)	Prec@5 68.750 (74.774)
Epoch: [38][13230/14090]	Time 0.744 (0.764)	Data 0.001 (0.001)	Loss 2.1692 (2.2249)	Prec@1 43.750 (44.124)	Prec@5 71.094 (74.773)
Epoch: [38][13240/14090]	Time 0.857 (0.764)	Data 0.001 (0.001)	Loss 2.2207 (2.2249)	Prec@1 40.625 (44.123)	Prec@5 74.219 (74.773)
Epoch: [38][13250/14090]	Time 0.732 (0.764)	Data 0.001 (0.001)	Loss 2.4466 (2.2248)	Prec@1 45.312 (44.123)	Prec@5 70.312 (74.774)
Epoch: [38][13260/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 2.1373 (2.2248)	Prec@1 39.062 (44.123)	Prec@5 75.000 (74.774)
Epoch: [38][13270/14090]	Time 0.770 (0.764)	Data 0.001 (0.001)	Loss 1.9467 (2.2248)	Prec@1 48.438 (44.125)	Prec@5 75.000 (74.775)
Epoch: [38][13280/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 2.1147 (2.2248)	Prec@1 42.188 (44.123)	Prec@5 78.125 (74.776)
Epoch: [38][13290/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 2.2930 (2.2248)	Prec@1 46.094 (44.123)	Prec@5 73.438 (74.775)
Epoch: [38][13300/14090]	Time 0.758 (0.764)	Data 0.001 (0.001)	Loss 2.1890 (2.2249)	Prec@1 46.875 (44.122)	Prec@5 77.344 (74.774)
Epoch: [38][13310/14090]	Time 0.867 (0.764)	Data 0.001 (0.001)	Loss 2.7747 (2.2249)	Prec@1 36.719 (44.122)	Prec@5 67.188 (74.773)
Epoch: [38][13320/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 2.4004 (2.2250)	Prec@1 42.188 (44.121)	Prec@5 69.531 (74.772)
Epoch: [38][13330/14090]	Time 0.724 (0.764)	Data 0.001 (0.001)	Loss 2.1992 (2.2250)	Prec@1 43.750 (44.120)	Prec@5 71.094 (74.772)
Epoch: [38][13340/14090]	Time 0.768 (0.764)	Data 0.001 (0.001)	Loss 2.0502 (2.2250)	Prec@1 49.219 (44.120)	Prec@5 79.688 (74.773)
Epoch: [38][13350/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 2.0145 (2.2250)	Prec@1 48.438 (44.121)	Prec@5 77.344 (74.772)
Epoch: [38][13360/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 2.4728 (2.2250)	Prec@1 39.844 (44.122)	Prec@5 69.531 (74.772)
Epoch: [38][13370/14090]	Time 0.766 (0.764)	Data 0.001 (0.001)	Loss 2.1680 (2.2249)	Prec@1 39.844 (44.125)	Prec@5 80.469 (74.774)
Epoch: [38][13380/14090]	Time 0.885 (0.764)	Data 0.001 (0.001)	Loss 2.2840 (2.2248)	Prec@1 45.312 (44.127)	Prec@5 72.656 (74.775)
Epoch: [38][13390/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 2.4006 (2.2248)	Prec@1 35.938 (44.125)	Prec@5 74.219 (74.775)
Epoch: [38][13400/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 2.3536 (2.2249)	Prec@1 35.938 (44.124)	Prec@5 69.531 (74.773)
Epoch: [38][13410/14090]	Time 0.744 (0.764)	Data 0.001 (0.001)	Loss 2.0180 (2.2249)	Prec@1 51.562 (44.124)	Prec@5 85.938 (74.773)
Epoch: [38][13420/14090]	Time 0.760 (0.764)	Data 0.001 (0.001)	Loss 2.1591 (2.2249)	Prec@1 50.781 (44.125)	Prec@5 75.781 (74.773)
Epoch: [38][13430/14090]	Time 0.721 (0.764)	Data 0.001 (0.001)	Loss 2.0816 (2.2248)	Prec@1 47.656 (44.127)	Prec@5 78.906 (74.774)
Epoch: [38][13440/14090]	Time 0.758 (0.764)	Data 0.001 (0.001)	Loss 2.0262 (2.2249)	Prec@1 45.312 (44.125)	Prec@5 79.688 (74.774)
Epoch: [38][13450/14090]	Time 0.872 (0.764)	Data 0.001 (0.001)	Loss 2.3718 (2.2248)	Prec@1 41.406 (44.125)	Prec@5 75.000 (74.774)
Epoch: [38][13460/14090]	Time 0.759 (0.764)	Data 0.001 (0.001)	Loss 1.9708 (2.2248)	Prec@1 48.438 (44.126)	Prec@5 76.562 (74.774)
Epoch: [38][13470/14090]	Time 0.758 (0.764)	Data 0.001 (0.001)	Loss 2.2282 (2.2249)	Prec@1 40.625 (44.125)	Prec@5 77.344 (74.775)
Epoch: [38][13480/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 2.1868 (2.2249)	Prec@1 46.875 (44.126)	Prec@5 71.875 (74.774)
Epoch: [38][13490/14090]	Time 0.723 (0.764)	Data 0.001 (0.001)	Loss 2.3555 (2.2249)	Prec@1 41.406 (44.124)	Prec@5 69.531 (74.772)
Epoch: [38][13500/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.2689 (2.2249)	Prec@1 39.844 (44.124)	Prec@5 76.562 (74.772)
Epoch: [38][13510/14090]	Time 0.759 (0.764)	Data 0.001 (0.001)	Loss 2.3456 (2.2250)	Prec@1 43.750 (44.123)	Prec@5 73.438 (74.772)
Epoch: [38][13520/14090]	Time 0.864 (0.764)	Data 0.001 (0.001)	Loss 2.3646 (2.2250)	Prec@1 42.188 (44.122)	Prec@5 69.531 (74.770)
Epoch: [38][13530/14090]	Time 0.768 (0.764)	Data 0.001 (0.001)	Loss 2.2785 (2.2250)	Prec@1 42.188 (44.123)	Prec@5 75.781 (74.771)
Epoch: [38][13540/14090]	Time 0.758 (0.764)	Data 0.001 (0.001)	Loss 2.3862 (2.2251)	Prec@1 48.438 (44.124)	Prec@5 71.875 (74.770)
Epoch: [38][13550/14090]	Time 0.726 (0.764)	Data 0.001 (0.001)	Loss 2.1416 (2.2251)	Prec@1 46.094 (44.124)	Prec@5 75.781 (74.769)
Epoch: [38][13560/14090]	Time 0.745 (0.764)	Data 0.001 (0.001)	Loss 2.1896 (2.2251)	Prec@1 45.312 (44.123)	Prec@5 78.125 (74.769)
Epoch: [38][13570/14090]	Time 0.758 (0.764)	Data 0.001 (0.001)	Loss 2.4795 (2.2251)	Prec@1 33.594 (44.123)	Prec@5 73.438 (74.769)
Epoch: [38][13580/14090]	Time 0.781 (0.764)	Data 0.001 (0.001)	Loss 2.2882 (2.2251)	Prec@1 41.406 (44.122)	Prec@5 70.312 (74.767)
Epoch: [38][13590/14090]	Time 0.907 (0.764)	Data 0.001 (0.001)	Loss 1.9910 (2.2251)	Prec@1 51.562 (44.123)	Prec@5 74.219 (74.768)
Epoch: [38][13600/14090]	Time 0.745 (0.764)	Data 0.001 (0.001)	Loss 2.3304 (2.2252)	Prec@1 46.094 (44.123)	Prec@5 78.906 (74.766)
Epoch: [38][13610/14090]	Time 0.719 (0.764)	Data 0.001 (0.001)	Loss 2.4956 (2.2252)	Prec@1 37.500 (44.124)	Prec@5 69.531 (74.767)
Epoch: [38][13620/14090]	Time 0.746 (0.764)	Data 0.001 (0.001)	Loss 2.5131 (2.2252)	Prec@1 43.750 (44.124)	Prec@5 70.312 (74.766)
Epoch: [38][13630/14090]	Time 0.730 (0.764)	Data 0.001 (0.001)	Loss 1.9792 (2.2252)	Prec@1 53.125 (44.124)	Prec@5 78.906 (74.766)
Epoch: [38][13640/14090]	Time 0.720 (0.764)	Data 0.001 (0.001)	Loss 2.3383 (2.2251)	Prec@1 40.625 (44.125)	Prec@5 70.312 (74.766)
Epoch: [38][13650/14090]	Time 0.725 (0.764)	Data 0.001 (0.001)	Loss 2.2526 (2.2252)	Prec@1 46.094 (44.126)	Prec@5 73.438 (74.766)
Epoch: [38][13660/14090]	Time 0.895 (0.764)	Data 0.001 (0.001)	Loss 2.2426 (2.2252)	Prec@1 39.844 (44.124)	Prec@5 78.125 (74.765)
Epoch: [38][13670/14090]	Time 0.733 (0.764)	Data 0.001 (0.001)	Loss 2.4994 (2.2253)	Prec@1 38.281 (44.123)	Prec@5 71.094 (74.764)
Epoch: [38][13680/14090]	Time 0.740 (0.764)	Data 0.001 (0.001)	Loss 2.2650 (2.2253)	Prec@1 45.312 (44.124)	Prec@5 73.438 (74.765)
Epoch: [38][13690/14090]	Time 0.724 (0.764)	Data 0.001 (0.001)	Loss 2.3732 (2.2253)	Prec@1 42.969 (44.125)	Prec@5 69.531 (74.765)
Epoch: [38][13700/14090]	Time 0.768 (0.764)	Data 0.001 (0.001)	Loss 1.9142 (2.2254)	Prec@1 46.875 (44.124)	Prec@5 82.812 (74.763)
Epoch: [38][13710/14090]	Time 0.763 (0.764)	Data 0.001 (0.001)	Loss 2.3787 (2.2254)	Prec@1 40.625 (44.124)	Prec@5 68.750 (74.763)
Epoch: [38][13720/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 2.0832 (2.2254)	Prec@1 51.562 (44.126)	Prec@5 75.000 (74.762)
Epoch: [38][13730/14090]	Time 0.875 (0.764)	Data 0.001 (0.001)	Loss 2.2326 (2.2254)	Prec@1 43.750 (44.125)	Prec@5 70.312 (74.762)
Epoch: [38][13740/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 2.0547 (2.2254)	Prec@1 45.312 (44.124)	Prec@5 82.031 (74.761)
Epoch: [38][13750/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 2.4142 (2.2254)	Prec@1 36.719 (44.125)	Prec@5 73.438 (74.761)
Epoch: [38][13760/14090]	Time 0.775 (0.764)	Data 0.001 (0.001)	Loss 2.3430 (2.2254)	Prec@1 39.062 (44.124)	Prec@5 75.000 (74.763)
Epoch: [38][13770/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 2.1318 (2.2254)	Prec@1 42.188 (44.125)	Prec@5 78.125 (74.763)
Epoch: [38][13780/14090]	Time 0.724 (0.764)	Data 0.001 (0.001)	Loss 2.2420 (2.2255)	Prec@1 42.969 (44.122)	Prec@5 77.344 (74.763)
Epoch: [38][13790/14090]	Time 0.761 (0.764)	Data 0.001 (0.001)	Loss 1.9700 (2.2254)	Prec@1 44.531 (44.124)	Prec@5 82.031 (74.765)
Epoch: [38][13800/14090]	Time 0.861 (0.764)	Data 0.001 (0.001)	Loss 2.3017 (2.2254)	Prec@1 48.438 (44.124)	Prec@5 73.438 (74.764)
Epoch: [38][13810/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 2.1374 (2.2254)	Prec@1 45.312 (44.124)	Prec@5 77.344 (74.765)
Epoch: [38][13820/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 2.2396 (2.2254)	Prec@1 43.750 (44.123)	Prec@5 75.000 (74.766)
Epoch: [38][13830/14090]	Time 0.759 (0.764)	Data 0.001 (0.001)	Loss 1.9761 (2.2253)	Prec@1 51.562 (44.125)	Prec@5 79.688 (74.766)
Epoch: [38][13840/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.1951 (2.2254)	Prec@1 49.219 (44.125)	Prec@5 75.781 (74.765)
Epoch: [38][13850/14090]	Time 0.768 (0.764)	Data 0.001 (0.001)	Loss 1.8948 (2.2253)	Prec@1 53.906 (44.126)	Prec@5 78.906 (74.765)
Epoch: [38][13860/14090]	Time 0.736 (0.764)	Data 0.001 (0.001)	Loss 1.9367 (2.2254)	Prec@1 43.750 (44.124)	Prec@5 85.156 (74.763)
Epoch: [38][13870/14090]	Time 0.874 (0.764)	Data 0.001 (0.001)	Loss 1.9751 (2.2254)	Prec@1 50.000 (44.126)	Prec@5 80.469 (74.765)
Epoch: [38][13880/14090]	Time 0.722 (0.764)	Data 0.001 (0.001)	Loss 2.0988 (2.2255)	Prec@1 50.781 (44.125)	Prec@5 74.219 (74.764)
Epoch: [38][13890/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 2.1539 (2.2254)	Prec@1 49.219 (44.126)	Prec@5 76.562 (74.766)
Epoch: [38][13900/14090]	Time 0.744 (0.764)	Data 0.001 (0.001)	Loss 2.1617 (2.2254)	Prec@1 44.531 (44.126)	Prec@5 74.219 (74.765)
Epoch: [38][13910/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 1.8837 (2.2254)	Prec@1 46.875 (44.127)	Prec@5 82.812 (74.765)
Epoch: [38][13920/14090]	Time 0.763 (0.764)	Data 0.001 (0.001)	Loss 2.2555 (2.2253)	Prec@1 42.969 (44.130)	Prec@5 74.219 (74.766)
Epoch: [38][13930/14090]	Time 0.765 (0.764)	Data 0.001 (0.001)	Loss 2.5870 (2.2253)	Prec@1 32.812 (44.131)	Prec@5 67.969 (74.765)
Epoch: [38][13940/14090]	Time 0.874 (0.764)	Data 0.001 (0.001)	Loss 2.1535 (2.2254)	Prec@1 42.969 (44.130)	Prec@5 76.562 (74.764)
Epoch: [38][13950/14090]	Time 0.728 (0.764)	Data 0.001 (0.001)	Loss 2.2577 (2.2254)	Prec@1 46.094 (44.131)	Prec@5 70.312 (74.764)
Epoch: [38][13960/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 2.2422 (2.2254)	Prec@1 45.312 (44.131)	Prec@5 75.000 (74.765)
Epoch: [38][13970/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 2.4396 (2.2254)	Prec@1 45.312 (44.132)	Prec@5 68.750 (74.764)
Epoch: [38][13980/14090]	Time 0.743 (0.764)	Data 0.001 (0.001)	Loss 1.9061 (2.2253)	Prec@1 47.656 (44.132)	Prec@5 79.688 (74.765)
Epoch: [38][13990/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 2.2972 (2.2253)	Prec@1 47.656 (44.134)	Prec@5 76.562 (74.765)
Epoch: [38][14000/14090]	Time 0.769 (0.764)	Data 0.001 (0.001)	Loss 2.0734 (2.2253)	Prec@1 49.219 (44.133)	Prec@5 79.688 (74.764)
Epoch: [38][14010/14090]	Time 0.853 (0.764)	Data 0.001 (0.001)	Loss 1.9819 (2.2254)	Prec@1 49.219 (44.131)	Prec@5 81.250 (74.763)
Epoch: [38][14020/14090]	Time 0.722 (0.764)	Data 0.001 (0.001)	Loss 2.4519 (2.2254)	Prec@1 38.281 (44.131)	Prec@5 70.312 (74.762)
Epoch: [38][14030/14090]	Time 0.761 (0.764)	Data 0.001 (0.001)	Loss 2.0124 (2.2254)	Prec@1 51.562 (44.131)	Prec@5 80.469 (74.764)
Epoch: [38][14040/14090]	Time 0.736 (0.764)	Data 0.001 (0.001)	Loss 2.1236 (2.2254)	Prec@1 49.219 (44.130)	Prec@5 75.000 (74.763)
Epoch: [38][14050/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 2.2426 (2.2255)	Prec@1 44.531 (44.129)	Prec@5 72.656 (74.762)
Epoch: [38][14060/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 2.2494 (2.2255)	Prec@1 44.531 (44.129)	Prec@5 73.438 (74.762)
Epoch: [38][14070/14090]	Time 0.762 (0.764)	Data 0.001 (0.001)	Loss 2.0752 (2.2255)	Prec@1 45.312 (44.130)	Prec@5 78.125 (74.762)
Epoch: [38][14080/14090]	Time 0.812 (0.764)	Data 0.000 (0.001)	Loss 2.2739 (2.2255)	Prec@1 41.406 (44.129)	Prec@5 73.438 (74.760)
Test: [0/286]	Time 4.320 (4.320)	Loss 1.4010 (1.4010)	Prec@1 57.812 (57.812)	Prec@5 92.969 (92.969)
Test: [10/286]	Time 0.321 (0.711)	Loss 1.8272 (1.9896)	Prec@1 49.219 (48.580)	Prec@5 88.281 (81.037)
Test: [20/286]	Time 0.230 (0.551)	Loss 1.6389 (1.9257)	Prec@1 58.594 (49.851)	Prec@5 86.719 (82.292)
Test: [30/286]	Time 0.327 (0.488)	Loss 2.2641 (1.8448)	Prec@1 43.750 (52.167)	Prec@5 71.875 (82.510)
Test: [40/286]	Time 1.357 (0.477)	Loss 1.6241 (1.8239)	Prec@1 51.562 (52.420)	Prec@5 85.938 (82.851)
Test: [50/286]	Time 0.368 (0.457)	Loss 0.7465 (1.8487)	Prec@1 85.156 (51.838)	Prec@5 90.625 (82.353)
Test: [60/286]	Time 0.242 (0.440)	Loss 2.3660 (1.8761)	Prec@1 46.875 (51.639)	Prec@5 73.438 (81.301)
Test: [70/286]	Time 0.236 (0.430)	Loss 1.2156 (1.8466)	Prec@1 67.969 (52.256)	Prec@5 91.406 (81.954)
Test: [80/286]	Time 0.272 (0.429)	Loss 2.2339 (1.8863)	Prec@1 41.406 (50.965)	Prec@5 74.219 (81.424)
Test: [90/286]	Time 0.228 (0.425)	Loss 1.8509 (1.8959)	Prec@1 55.469 (50.730)	Prec@5 80.469 (81.250)
Test: [100/286]	Time 0.288 (0.422)	Loss 2.1501 (1.9127)	Prec@1 39.844 (50.193)	Prec@5 78.906 (81.173)
Test: [110/286]	Time 0.227 (0.416)	Loss 2.5382 (1.9199)	Prec@1 34.375 (49.852)	Prec@5 71.094 (81.370)
Test: [120/286]	Time 0.589 (0.417)	Loss 2.0847 (1.9158)	Prec@1 55.469 (49.981)	Prec@5 75.000 (81.431)
Test: [130/286]	Time 0.315 (0.414)	Loss 0.9654 (1.9103)	Prec@1 69.531 (50.155)	Prec@5 92.188 (81.435)
Test: [140/286]	Time 0.308 (0.415)	Loss 2.3576 (1.9062)	Prec@1 46.875 (50.222)	Prec@5 71.094 (81.433)
Test: [150/286]	Time 0.259 (0.412)	Loss 2.5535 (1.9233)	Prec@1 32.812 (49.659)	Prec@5 73.438 (81.338)
Test: [160/286]	Time 0.291 (0.410)	Loss 2.7082 (1.9185)	Prec@1 23.438 (49.704)	Prec@5 66.406 (81.454)
Test: [170/286]	Time 0.681 (0.410)	Loss 2.2579 (1.9119)	Prec@1 35.156 (49.808)	Prec@5 78.906 (81.520)
Test: [180/286]	Time 0.234 (0.411)	Loss 2.0040 (1.9186)	Prec@1 54.688 (49.655)	Prec@5 78.125 (81.423)
Test: [190/286]	Time 0.228 (0.408)	Loss 2.9572 (1.9323)	Prec@1 17.969 (49.251)	Prec@5 73.438 (81.332)
Test: [200/286]	Time 0.300 (0.407)	Loss 1.5819 (1.9212)	Prec@1 66.406 (49.615)	Prec@5 88.281 (81.413)
Test: [210/286]	Time 0.231 (0.408)	Loss 2.2381 (1.9339)	Prec@1 40.625 (49.215)	Prec@5 80.469 (81.235)
Test: [220/286]	Time 0.229 (0.407)	Loss 3.2216 (1.9414)	Prec@1 16.406 (49.176)	Prec@5 54.688 (81.017)
Test: [230/286]	Time 0.295 (0.406)	Loss 1.0570 (1.9445)	Prec@1 67.969 (49.161)	Prec@5 90.625 (80.885)
Test: [240/286]	Time 0.416 (0.405)	Loss 2.0761 (1.9420)	Prec@1 47.656 (49.274)	Prec@5 82.812 (80.942)
Test: [250/286]	Time 0.432 (0.406)	Loss 1.4287 (1.9277)	Prec@1 61.719 (49.493)	Prec@5 87.500 (81.241)
Test: [260/286]	Time 0.238 (0.406)	Loss 1.9387 (1.9191)	Prec@1 51.562 (49.731)	Prec@5 81.250 (81.400)
Test: [270/286]	Time 0.322 (0.404)	Loss 1.4052 (1.9165)	Prec@1 67.188 (49.856)	Prec@5 84.375 (81.440)
Test: [280/286]	Time 0.228 (0.403)	Loss 1.8951 (1.8980)	Prec@1 52.344 (50.384)	Prec@5 87.500 (81.670)
 * Prec@1 50.558 Prec@5 81.751
Epoch: [39][0/14090]	Time 5.738 (5.738)	Data 4.953 (4.953)	Loss 2.3877 (2.3877)	Prec@1 43.750 (43.750)	Prec@5 68.750 (68.750)
Epoch: [39][10/14090]	Time 0.721 (1.211)	Data 0.001 (0.451)	Loss 2.1667 (2.2191)	Prec@1 41.406 (44.176)	Prec@5 78.125 (74.645)
Epoch: [39][20/14090]	Time 0.724 (0.987)	Data 0.001 (0.237)	Loss 2.2092 (2.2273)	Prec@1 38.281 (43.452)	Prec@5 71.094 (74.777)
Epoch: [39][30/14090]	Time 0.759 (0.913)	Data 0.001 (0.161)	Loss 1.7761 (2.1979)	Prec@1 51.562 (44.632)	Prec@5 84.375 (74.899)
Epoch: [39][40/14090]	Time 0.750 (0.876)	Data 0.001 (0.122)	Loss 2.1251 (2.1931)	Prec@1 50.781 (44.798)	Prec@5 78.125 (75.248)
Epoch: [39][50/14090]	Time 0.891 (0.855)	Data 0.001 (0.098)	Loss 2.0237 (2.1813)	Prec@1 50.000 (45.052)	Prec@5 79.688 (75.551)
Epoch: [39][60/14090]	Time 0.731 (0.838)	Data 0.001 (0.082)	Loss 2.1062 (2.1830)	Prec@1 50.000 (45.223)	Prec@5 82.031 (75.499)
Epoch: [39][70/14090]	Time 0.743 (0.828)	Data 0.001 (0.071)	Loss 2.2923 (2.1842)	Prec@1 42.188 (45.147)	Prec@5 74.219 (75.429)
Epoch: [39][80/14090]	Time 0.752 (0.820)	Data 0.001 (0.062)	Loss 1.8112 (2.1827)	Prec@1 53.906 (45.110)	Prec@5 83.594 (75.530)
Epoch: [39][90/14090]	Time 0.749 (0.813)	Data 0.001 (0.055)	Loss 1.9259 (2.1786)	Prec@1 46.875 (45.081)	Prec@5 80.469 (75.661)
Epoch: [39][100/14090]	Time 0.741 (0.809)	Data 0.001 (0.050)	Loss 2.0494 (2.1827)	Prec@1 49.219 (45.065)	Prec@5 75.000 (75.611)
Epoch: [39][110/14090]	Time 0.755 (0.806)	Data 0.001 (0.045)	Loss 2.3015 (2.1893)	Prec@1 42.969 (44.904)	Prec@5 73.438 (75.500)
Epoch: [39][120/14090]	Time 0.866 (0.803)	Data 0.001 (0.042)	Loss 2.3354 (2.1941)	Prec@1 46.094 (44.848)	Prec@5 71.094 (75.329)
Epoch: [39][130/14090]	Time 0.774 (0.800)	Data 0.001 (0.039)	Loss 2.0044 (2.1856)	Prec@1 49.219 (45.050)	Prec@5 78.906 (75.513)
Epoch: [39][140/14090]	Time 0.732 (0.797)	Data 0.001 (0.036)	Loss 2.1839 (2.1905)	Prec@1 46.875 (44.908)	Prec@5 74.219 (75.438)
Epoch: [39][150/14090]	Time 0.784 (0.795)	Data 0.001 (0.034)	Loss 2.3140 (2.1850)	Prec@1 40.625 (44.935)	Prec@5 71.875 (75.585)
Epoch: [39][160/14090]	Time 0.737 (0.794)	Data 0.001 (0.032)	Loss 1.9691 (2.1859)	Prec@1 43.750 (44.915)	Prec@5 82.031 (75.524)
Epoch: [39][170/14090]	Time 0.732 (0.792)	Data 0.001 (0.030)	Loss 2.3597 (2.1838)	Prec@1 39.844 (44.920)	Prec@5 71.875 (75.429)
Epoch: [39][180/14090]	Time 0.777 (0.791)	Data 0.001 (0.028)	Loss 2.2257 (2.1910)	Prec@1 40.625 (44.747)	Prec@5 73.438 (75.311)
Epoch: [39][190/14090]	Time 0.884 (0.790)	Data 0.001 (0.027)	Loss 2.2469 (2.1937)	Prec@1 45.312 (44.650)	Prec@5 72.656 (75.295)
Epoch: [39][200/14090]	Time 0.759 (0.788)	Data 0.001 (0.025)	Loss 2.7862 (2.1996)	Prec@1 29.688 (44.477)	Prec@5 67.188 (75.202)
Epoch: [39][210/14090]	Time 0.759 (0.787)	Data 0.001 (0.024)	Loss 2.0720 (2.2007)	Prec@1 45.312 (44.450)	Prec@5 78.125 (75.163)
Epoch: [39][220/14090]	Time 0.735 (0.786)	Data 0.001 (0.023)	Loss 2.2665 (2.2029)	Prec@1 36.719 (44.362)	Prec@5 76.562 (75.156)
Epoch: [39][230/14090]	Time 0.766 (0.785)	Data 0.001 (0.022)	Loss 2.1285 (2.2003)	Prec@1 45.312 (44.379)	Prec@5 75.000 (75.250)
Epoch: [39][240/14090]	Time 0.748 (0.784)	Data 0.001 (0.021)	Loss 2.4978 (2.2035)	Prec@1 38.281 (44.311)	Prec@5 64.062 (75.172)
Epoch: [39][250/14090]	Time 0.778 (0.784)	Data 0.001 (0.021)	Loss 2.1075 (2.1983)	Prec@1 42.188 (44.388)	Prec@5 78.125 (75.277)
Epoch: [39][260/14090]	Time 0.840 (0.783)	Data 0.001 (0.020)	Loss 1.9786 (2.1941)	Prec@1 43.750 (44.441)	Prec@5 77.344 (75.374)
Epoch: [39][270/14090]	Time 0.737 (0.782)	Data 0.001 (0.019)	Loss 2.1443 (2.1922)	Prec@1 48.438 (44.531)	Prec@5 78.125 (75.381)
Epoch: [39][280/14090]	Time 0.725 (0.782)	Data 0.001 (0.018)	Loss 2.3449 (2.1958)	Prec@1 38.281 (44.451)	Prec@5 73.438 (75.317)
Epoch: [39][290/14090]	Time 0.717 (0.781)	Data 0.001 (0.018)	Loss 2.4440 (2.1933)	Prec@1 35.156 (44.507)	Prec@5 73.438 (75.349)
Epoch: [39][300/14090]	Time 0.744 (0.780)	Data 0.001 (0.017)	Loss 2.5451 (2.1957)	Prec@1 41.406 (44.479)	Prec@5 69.531 (75.291)
Epoch: [39][310/14090]	Time 0.728 (0.780)	Data 0.001 (0.017)	Loss 2.0515 (2.1953)	Prec@1 48.438 (44.501)	Prec@5 73.438 (75.299)
Epoch: [39][320/14090]	Time 0.741 (0.779)	Data 0.001 (0.016)	Loss 2.1431 (2.1967)	Prec@1 46.875 (44.492)	Prec@5 79.688 (75.273)
Epoch: [39][330/14090]	Time 0.863 (0.779)	Data 0.001 (0.016)	Loss 2.3237 (2.1985)	Prec@1 42.969 (44.444)	Prec@5 74.219 (75.245)
Epoch: [39][340/14090]	Time 0.751 (0.778)	Data 0.001 (0.015)	Loss 2.0191 (2.1968)	Prec@1 47.656 (44.513)	Prec@5 78.906 (75.286)
Epoch: [39][350/14090]	Time 0.756 (0.778)	Data 0.001 (0.015)	Loss 2.4172 (2.1992)	Prec@1 41.406 (44.469)	Prec@5 73.438 (75.276)
Epoch: [39][360/14090]	Time 0.758 (0.777)	Data 0.001 (0.015)	Loss 2.0749 (2.2002)	Prec@1 42.969 (44.430)	Prec@5 81.250 (75.234)
Epoch: [39][370/14090]	Time 0.740 (0.777)	Data 0.001 (0.014)	Loss 2.3585 (2.2023)	Prec@1 43.750 (44.386)	Prec@5 71.094 (75.202)
Epoch: [39][380/14090]	Time 0.763 (0.777)	Data 0.001 (0.014)	Loss 2.0527 (2.2022)	Prec@1 52.344 (44.427)	Prec@5 78.125 (75.195)
Epoch: [39][390/14090]	Time 0.753 (0.777)	Data 0.001 (0.013)	Loss 2.0443 (2.2017)	Prec@1 49.219 (44.469)	Prec@5 81.250 (75.222)
Epoch: [39][400/14090]	Time 0.869 (0.776)	Data 0.001 (0.013)	Loss 2.1651 (2.2012)	Prec@1 50.000 (44.490)	Prec@5 74.219 (75.179)
Epoch: [39][410/14090]	Time 0.753 (0.776)	Data 0.001 (0.013)	Loss 2.0715 (2.1993)	Prec@1 51.562 (44.541)	Prec@5 77.344 (75.243)
Epoch: [39][420/14090]	Time 0.741 (0.776)	Data 0.001 (0.013)	Loss 2.4900 (2.2006)	Prec@1 36.719 (44.507)	Prec@5 67.188 (75.215)
Epoch: [39][430/14090]	Time 0.749 (0.776)	Data 0.001 (0.012)	Loss 2.4993 (2.2009)	Prec@1 40.625 (44.511)	Prec@5 71.094 (75.216)
Epoch: [39][440/14090]	Time 0.760 (0.775)	Data 0.001 (0.012)	Loss 2.4833 (2.2008)	Prec@1 38.281 (44.499)	Prec@5 72.656 (75.202)
Epoch: [39][450/14090]	Time 0.738 (0.775)	Data 0.001 (0.012)	Loss 2.3034 (2.2009)	Prec@1 42.969 (44.476)	Prec@5 68.750 (75.187)
Epoch: [39][460/14090]	Time 0.744 (0.775)	Data 0.001 (0.012)	Loss 2.3950 (2.2003)	Prec@1 34.375 (44.463)	Prec@5 71.875 (75.212)
Epoch: [39][470/14090]	Time 0.878 (0.775)	Data 0.001 (0.011)	Loss 2.4988 (2.2005)	Prec@1 39.844 (44.458)	Prec@5 73.438 (75.191)
Epoch: [39][480/14090]	Time 0.763 (0.775)	Data 0.001 (0.011)	Loss 2.2980 (2.2009)	Prec@1 42.969 (44.442)	Prec@5 72.656 (75.169)
Epoch: [39][490/14090]	Time 0.744 (0.774)	Data 0.001 (0.011)	Loss 2.2896 (2.2021)	Prec@1 39.844 (44.415)	Prec@5 76.562 (75.143)
Epoch: [39][500/14090]	Time 0.737 (0.774)	Data 0.001 (0.011)	Loss 2.3123 (2.2024)	Prec@1 42.188 (44.427)	Prec@5 74.219 (75.150)
Epoch: [39][510/14090]	Time 0.742 (0.774)	Data 0.001 (0.010)	Loss 2.5095 (2.2041)	Prec@1 38.281 (44.417)	Prec@5 70.312 (75.135)
Epoch: [39][520/14090]	Time 0.759 (0.774)	Data 0.001 (0.010)	Loss 2.1970 (2.2054)	Prec@1 39.844 (44.393)	Prec@5 77.344 (75.123)
Epoch: [39][530/14090]	Time 0.755 (0.774)	Data 0.001 (0.010)	Loss 2.3489 (2.2040)	Prec@1 46.094 (44.453)	Prec@5 71.094 (75.129)
Epoch: [39][540/14090]	Time 0.852 (0.774)	Data 0.001 (0.010)	Loss 2.3324 (2.2045)	Prec@1 45.312 (44.456)	Prec@5 75.000 (75.116)
Epoch: [39][550/14090]	Time 0.746 (0.774)	Data 0.001 (0.010)	Loss 2.3801 (2.2053)	Prec@1 35.938 (44.439)	Prec@5 70.312 (75.085)
Epoch: [39][560/14090]	Time 0.742 (0.773)	Data 0.001 (0.010)	Loss 2.0349 (2.2045)	Prec@1 47.656 (44.469)	Prec@5 77.344 (75.063)
Epoch: [39][570/14090]	Time 0.758 (0.773)	Data 0.001 (0.009)	Loss 2.2444 (2.2042)	Prec@1 45.312 (44.464)	Prec@5 71.875 (75.070)
Epoch: [39][580/14090]	Time 0.741 (0.773)	Data 0.001 (0.009)	Loss 2.4050 (2.2030)	Prec@1 39.844 (44.500)	Prec@5 70.312 (75.098)
Epoch: [39][590/14090]	Time 0.726 (0.773)	Data 0.001 (0.009)	Loss 2.0310 (2.2052)	Prec@1 48.438 (44.455)	Prec@5 77.344 (75.053)
Epoch: [39][600/14090]	Time 0.762 (0.773)	Data 0.001 (0.009)	Loss 1.9664 (2.2047)	Prec@1 48.438 (44.456)	Prec@5 78.906 (75.055)
Epoch: [39][610/14090]	Time 0.834 (0.773)	Data 0.001 (0.009)	Loss 2.2152 (2.2051)	Prec@1 47.656 (44.452)	Prec@5 69.531 (75.036)
Epoch: [39][620/14090]	Time 0.742 (0.773)	Data 0.001 (0.009)	Loss 2.0881 (2.2041)	Prec@1 42.969 (44.444)	Prec@5 78.906 (75.042)
Epoch: [39][630/14090]	Time 0.730 (0.772)	Data 0.001 (0.009)	Loss 2.0557 (2.2044)	Prec@1 46.094 (44.451)	Prec@5 78.125 (75.030)
Epoch: [39][640/14090]	Time 0.737 (0.772)	Data 0.001 (0.009)	Loss 2.2307 (2.2047)	Prec@1 43.750 (44.439)	Prec@5 68.750 (75.016)
Epoch: [39][650/14090]	Time 0.778 (0.772)	Data 0.001 (0.008)	Loss 2.3587 (2.2051)	Prec@1 43.750 (44.417)	Prec@5 71.875 (75.025)
Epoch: [39][660/14090]	Time 0.765 (0.772)	Data 0.001 (0.008)	Loss 2.1143 (2.2046)	Prec@1 43.750 (44.439)	Prec@5 74.219 (75.024)
Epoch: [39][670/14090]	Time 0.749 (0.772)	Data 0.001 (0.008)	Loss 2.1011 (2.2053)	Prec@1 42.188 (44.422)	Prec@5 73.438 (75.009)
Epoch: [39][680/14090]	Time 0.860 (0.772)	Data 0.001 (0.008)	Loss 2.0429 (2.2055)	Prec@1 43.750 (44.408)	Prec@5 75.000 (74.984)
Epoch: [39][690/14090]	Time 0.743 (0.772)	Data 0.001 (0.008)	Loss 2.1656 (2.2043)	Prec@1 41.406 (44.429)	Prec@5 76.562 (75.008)
Epoch: [39][700/14090]	Time 0.731 (0.772)	Data 0.001 (0.008)	Loss 2.0829 (2.2038)	Prec@1 51.562 (44.460)	Prec@5 80.469 (75.028)
Epoch: [39][710/14090]	Time 0.747 (0.772)	Data 0.001 (0.008)	Loss 2.6593 (2.2040)	Prec@1 41.406 (44.463)	Prec@5 66.406 (75.022)
Epoch: [39][720/14090]	Time 0.756 (0.772)	Data 0.001 (0.008)	Loss 2.5681 (2.2042)	Prec@1 39.062 (44.471)	Prec@5 69.531 (75.014)
Epoch: [39][730/14090]	Time 0.736 (0.771)	Data 0.001 (0.008)	Loss 2.6379 (2.2051)	Prec@1 35.156 (44.464)	Prec@5 65.625 (74.995)
Epoch: [39][740/14090]	Time 0.740 (0.771)	Data 0.001 (0.007)	Loss 2.2789 (2.2056)	Prec@1 40.625 (44.462)	Prec@5 73.438 (74.987)
Epoch: [39][750/14090]	Time 0.867 (0.771)	Data 0.001 (0.007)	Loss 2.3092 (2.2061)	Prec@1 40.625 (44.454)	Prec@5 72.656 (74.962)
Epoch: [39][760/14090]	Time 0.754 (0.771)	Data 0.001 (0.007)	Loss 2.0097 (2.2071)	Prec@1 53.125 (44.467)	Prec@5 76.562 (74.960)
Epoch: [39][770/14090]	Time 0.736 (0.771)	Data 0.001 (0.007)	Loss 1.9823 (2.2070)	Prec@1 45.312 (44.484)	Prec@5 82.031 (74.959)
Epoch: [39][780/14090]	Time 0.733 (0.771)	Data 0.001 (0.007)	Loss 2.1573 (2.2055)	Prec@1 42.188 (44.501)	Prec@5 75.781 (74.991)
Epoch: [39][790/14090]	Time 0.726 (0.771)	Data 0.001 (0.007)	Loss 2.1738 (2.2054)	Prec@1 51.562 (44.511)	Prec@5 72.656 (74.992)
Epoch: [39][800/14090]	Time 0.753 (0.771)	Data 0.001 (0.007)	Loss 2.3878 (2.2058)	Prec@1 42.969 (44.517)	Prec@5 72.656 (74.992)
Epoch: [39][810/14090]	Time 0.750 (0.771)	Data 0.001 (0.007)	Loss 2.1342 (2.2054)	Prec@1 50.000 (44.531)	Prec@5 75.781 (75.001)
Epoch: [39][820/14090]	Time 0.894 (0.771)	Data 0.001 (0.007)	Loss 2.1399 (2.2048)	Prec@1 46.875 (44.568)	Prec@5 78.906 (75.000)
Epoch: [39][830/14090]	Time 0.751 (0.771)	Data 0.001 (0.007)	Loss 2.1967 (2.2053)	Prec@1 46.875 (44.575)	Prec@5 74.219 (75.000)
Epoch: [39][840/14090]	Time 0.757 (0.771)	Data 0.001 (0.007)	Loss 2.3917 (2.2052)	Prec@1 42.969 (44.581)	Prec@5 65.625 (75.009)
Epoch: [39][850/14090]	Time 0.726 (0.771)	Data 0.001 (0.007)	Loss 2.1701 (2.2049)	Prec@1 42.188 (44.587)	Prec@5 75.781 (75.023)
Epoch: [39][860/14090]	Time 0.748 (0.770)	Data 0.001 (0.007)	Loss 1.9180 (2.2046)	Prec@1 50.000 (44.590)	Prec@5 83.594 (75.041)
Epoch: [39][870/14090]	Time 0.756 (0.770)	Data 0.001 (0.006)	Loss 2.1010 (2.2047)	Prec@1 47.656 (44.596)	Prec@5 80.469 (75.050)
Epoch: [39][880/14090]	Time 0.767 (0.771)	Data 0.001 (0.006)	Loss 2.4771 (2.2050)	Prec@1 39.062 (44.589)	Prec@5 69.531 (75.051)
Epoch: [39][890/14090]	Time 0.837 (0.770)	Data 0.001 (0.006)	Loss 1.9740 (2.2055)	Prec@1 50.000 (44.580)	Prec@5 78.906 (75.043)
Epoch: [39][900/14090]	Time 0.764 (0.770)	Data 0.001 (0.006)	Loss 1.9657 (2.2061)	Prec@1 55.469 (44.579)	Prec@5 78.125 (75.029)
Epoch: [39][910/14090]	Time 0.754 (0.770)	Data 0.001 (0.006)	Loss 2.4431 (2.2060)	Prec@1 43.750 (44.571)	Prec@5 72.656 (75.039)
Epoch: [39][920/14090]	Time 0.763 (0.770)	Data 0.001 (0.006)	Loss 2.0820 (2.2058)	Prec@1 43.750 (44.567)	Prec@5 74.219 (75.033)
Epoch: [39][930/14090]	Time 0.753 (0.770)	Data 0.001 (0.006)	Loss 2.4011 (2.2046)	Prec@1 36.719 (44.585)	Prec@5 71.094 (75.060)
Epoch: [39][940/14090]	Time 0.745 (0.770)	Data 0.001 (0.006)	Loss 2.2486 (2.2045)	Prec@1 43.750 (44.582)	Prec@5 78.125 (75.056)
Epoch: [39][950/14090]	Time 0.769 (0.770)	Data 0.001 (0.006)	Loss 2.1953 (2.2045)	Prec@1 47.656 (44.576)	Prec@5 73.438 (75.070)
Epoch: [39][960/14090]	Time 0.837 (0.770)	Data 0.001 (0.006)	Loss 2.1358 (2.2044)	Prec@1 45.312 (44.565)	Prec@5 75.000 (75.071)
Epoch: [39][970/14090]	Time 0.741 (0.770)	Data 0.001 (0.006)	Loss 1.8642 (2.2048)	Prec@1 52.344 (44.553)	Prec@5 79.688 (75.045)
Epoch: [39][980/14090]	Time 0.731 (0.770)	Data 0.001 (0.006)	Loss 2.3535 (2.2055)	Prec@1 42.188 (44.550)	Prec@5 73.438 (75.036)
Epoch: [39][990/14090]	Time 0.784 (0.770)	Data 0.001 (0.006)	Loss 2.3241 (2.2047)	Prec@1 40.625 (44.555)	Prec@5 73.438 (75.048)
Epoch: [39][1000/14090]	Time 0.747 (0.770)	Data 0.001 (0.006)	Loss 2.4124 (2.2048)	Prec@1 46.094 (44.557)	Prec@5 72.656 (75.062)
Epoch: [39][1010/14090]	Time 0.749 (0.770)	Data 0.001 (0.006)	Loss 2.1449 (2.2046)	Prec@1 41.406 (44.561)	Prec@5 77.344 (75.071)
Epoch: [39][1020/14090]	Time 0.763 (0.770)	Data 0.001 (0.006)	Loss 2.5818 (2.2059)	Prec@1 44.531 (44.527)	Prec@5 64.844 (75.035)
Epoch: [39][1030/14090]	Time 0.878 (0.770)	Data 0.001 (0.006)	Loss 2.2599 (2.2051)	Prec@1 46.094 (44.533)	Prec@5 73.438 (75.065)
Epoch: [39][1040/14090]	Time 0.725 (0.770)	Data 0.001 (0.006)	Loss 1.7811 (2.2053)	Prec@1 55.469 (44.526)	Prec@5 84.375 (75.069)
Epoch: [39][1050/14090]	Time 0.728 (0.770)	Data 0.001 (0.006)	Loss 2.1200 (2.2055)	Prec@1 47.656 (44.522)	Prec@5 74.219 (75.074)
Epoch: [39][1060/14090]	Time 0.760 (0.770)	Data 0.001 (0.005)	Loss 2.3765 (2.2063)	Prec@1 35.156 (44.499)	Prec@5 72.656 (75.057)
Epoch: [39][1070/14090]	Time 0.744 (0.769)	Data 0.001 (0.005)	Loss 2.2147 (2.2066)	Prec@1 39.844 (44.482)	Prec@5 73.438 (75.057)
Epoch: [39][1080/14090]	Time 0.756 (0.769)	Data 0.001 (0.005)	Loss 2.2516 (2.2070)	Prec@1 41.406 (44.475)	Prec@5 78.125 (75.059)
Epoch: [39][1090/14090]	Time 0.756 (0.769)	Data 0.001 (0.005)	Loss 2.4674 (2.2076)	Prec@1 41.406 (44.453)	Prec@5 70.312 (75.054)
Epoch: [39][1100/14090]	Time 0.828 (0.769)	Data 0.001 (0.005)	Loss 2.0445 (2.2081)	Prec@1 53.125 (44.445)	Prec@5 80.469 (75.055)
Epoch: [39][1110/14090]	Time 0.751 (0.769)	Data 0.001 (0.005)	Loss 2.3071 (2.2093)	Prec@1 39.062 (44.419)	Prec@5 75.000 (75.033)
Epoch: [39][1120/14090]	Time 0.768 (0.769)	Data 0.001 (0.005)	Loss 2.0768 (2.2089)	Prec@1 45.312 (44.429)	Prec@5 82.812 (75.049)
Epoch: [39][1130/14090]	Time 0.725 (0.769)	Data 0.001 (0.005)	Loss 2.1929 (2.2089)	Prec@1 40.625 (44.433)	Prec@5 73.438 (75.045)
Epoch: [39][1140/14090]	Time 0.757 (0.769)	Data 0.001 (0.005)	Loss 2.1754 (2.2092)	Prec@1 46.875 (44.434)	Prec@5 77.344 (75.048)
Epoch: [39][1150/14090]	Time 0.751 (0.769)	Data 0.001 (0.005)	Loss 2.4768 (2.2099)	Prec@1 37.500 (44.423)	Prec@5 68.750 (75.033)
Epoch: [39][1160/14090]	Time 0.750 (0.769)	Data 0.001 (0.005)	Loss 2.2583 (2.2095)	Prec@1 42.188 (44.444)	Prec@5 73.438 (75.044)
Epoch: [39][1170/14090]	Time 0.832 (0.769)	Data 0.001 (0.005)	Loss 2.0898 (2.2098)	Prec@1 50.000 (44.447)	Prec@5 75.781 (75.027)
Epoch: [39][1180/14090]	Time 0.754 (0.769)	Data 0.001 (0.005)	Loss 2.2881 (2.2092)	Prec@1 46.094 (44.468)	Prec@5 75.781 (75.048)
Epoch: [39][1190/14090]	Time 0.726 (0.769)	Data 0.001 (0.005)	Loss 2.1427 (2.2089)	Prec@1 48.438 (44.466)	Prec@5 77.344 (75.048)
Epoch: [39][1200/14090]	Time 0.731 (0.769)	Data 0.001 (0.005)	Loss 2.2637 (2.2087)	Prec@1 43.750 (44.468)	Prec@5 75.781 (75.055)
Epoch: [39][1210/14090]	Time 0.762 (0.769)	Data 0.001 (0.005)	Loss 1.9968 (2.2090)	Prec@1 46.875 (44.476)	Prec@5 78.125 (75.050)
Epoch: [39][1220/14090]	Time 0.725 (0.769)	Data 0.001 (0.005)	Loss 2.0597 (2.2092)	Prec@1 47.656 (44.479)	Prec@5 79.688 (75.047)
Epoch: [39][1230/14090]	Time 0.744 (0.769)	Data 0.001 (0.005)	Loss 2.1133 (2.2085)	Prec@1 46.875 (44.494)	Prec@5 75.781 (75.061)
Epoch: [39][1240/14090]	Time 1.024 (0.769)	Data 0.001 (0.005)	Loss 1.8846 (2.2082)	Prec@1 51.562 (44.493)	Prec@5 78.906 (75.061)
Epoch: [39][1250/14090]	Time 0.726 (0.769)	Data 0.001 (0.005)	Loss 2.3979 (2.2087)	Prec@1 37.500 (44.492)	Prec@5 75.000 (75.055)
Epoch: [39][1260/14090]	Time 0.727 (0.769)	Data 0.001 (0.005)	Loss 2.2118 (2.2090)	Prec@1 49.219 (44.489)	Prec@5 77.344 (75.056)
Epoch: [39][1270/14090]	Time 0.778 (0.769)	Data 0.001 (0.005)	Loss 2.1667 (2.2089)	Prec@1 46.875 (44.493)	Prec@5 73.438 (75.061)
Epoch: [39][1280/14090]	Time 0.745 (0.769)	Data 0.001 (0.005)	Loss 2.0690 (2.2096)	Prec@1 46.875 (44.479)	Prec@5 81.250 (75.051)
Epoch: [39][1290/14090]	Time 0.754 (0.769)	Data 0.001 (0.005)	Loss 2.0308 (2.2089)	Prec@1 48.438 (44.491)	Prec@5 76.562 (75.055)
Epoch: [39][1300/14090]	Time 0.746 (0.769)	Data 0.001 (0.005)	Loss 2.0608 (2.2090)	Prec@1 51.562 (44.493)	Prec@5 78.125 (75.052)
Epoch: [39][1310/14090]	Time 0.855 (0.769)	Data 0.001 (0.005)	Loss 1.9915 (2.2089)	Prec@1 47.656 (44.491)	Prec@5 80.469 (75.056)
Epoch: [39][1320/14090]	Time 0.754 (0.769)	Data 0.001 (0.005)	Loss 2.3353 (2.2083)	Prec@1 39.062 (44.502)	Prec@5 71.875 (75.067)
Epoch: [39][1330/14090]	Time 0.730 (0.769)	Data 0.001 (0.005)	Loss 2.1615 (2.2072)	Prec@1 46.094 (44.528)	Prec@5 73.438 (75.072)
Epoch: [39][1340/14090]	Time 0.762 (0.769)	Data 0.001 (0.004)	Loss 2.2800 (2.2067)	Prec@1 40.625 (44.537)	Prec@5 76.562 (75.075)
Epoch: [39][1350/14090]	Time 0.737 (0.769)	Data 0.001 (0.004)	Loss 2.2445 (2.2070)	Prec@1 41.406 (44.524)	Prec@5 75.000 (75.071)
Epoch: [39][1360/14090]	Time 0.754 (0.769)	Data 0.001 (0.004)	Loss 2.2338 (2.2072)	Prec@1 43.750 (44.516)	Prec@5 72.656 (75.059)
Epoch: [39][1370/14090]	Time 0.739 (0.769)	Data 0.001 (0.004)	Loss 1.9089 (2.2066)	Prec@1 51.562 (44.523)	Prec@5 82.031 (75.075)
Epoch: [39][1380/14090]	Time 0.868 (0.769)	Data 0.001 (0.004)	Loss 2.2434 (2.2070)	Prec@1 49.219 (44.514)	Prec@5 73.438 (75.072)
Epoch: [39][1390/14090]	Time 0.750 (0.769)	Data 0.001 (0.004)	Loss 2.4336 (2.2069)	Prec@1 41.406 (44.509)	Prec@5 67.188 (75.074)
Epoch: [39][1400/14090]	Time 0.764 (0.769)	Data 0.001 (0.004)	Loss 2.2285 (2.2072)	Prec@1 41.406 (44.493)	Prec@5 74.219 (75.059)
Epoch: [39][1410/14090]	Time 0.747 (0.769)	Data 0.001 (0.004)	Loss 2.1838 (2.2070)	Prec@1 47.656 (44.497)	Prec@5 75.781 (75.066)
Epoch: [39][1420/14090]	Time 0.740 (0.769)	Data 0.001 (0.004)	Loss 2.0004 (2.2070)	Prec@1 50.781 (44.495)	Prec@5 78.125 (75.058)
Epoch: [39][1430/14090]	Time 0.737 (0.769)	Data 0.001 (0.004)	Loss 2.2139 (2.2073)	Prec@1 42.969 (44.490)	Prec@5 74.219 (75.057)
Epoch: [39][1440/14090]	Time 0.737 (0.769)	Data 0.001 (0.004)	Loss 2.4487 (2.2079)	Prec@1 42.188 (44.485)	Prec@5 76.562 (75.047)
Epoch: [39][1450/14090]	Time 0.893 (0.769)	Data 0.001 (0.004)	Loss 1.9953 (2.2071)	Prec@1 48.438 (44.506)	Prec@5 78.125 (75.060)
Epoch: [39][1460/14090]	Time 0.752 (0.769)	Data 0.001 (0.004)	Loss 2.1970 (2.2070)	Prec@1 41.406 (44.505)	Prec@5 73.438 (75.058)
Epoch: [39][1470/14090]	Time 0.725 (0.768)	Data 0.001 (0.004)	Loss 2.2868 (2.2074)	Prec@1 42.188 (44.503)	Prec@5 75.000 (75.049)
Epoch: [39][1480/14090]	Time 0.775 (0.769)	Data 0.001 (0.004)	Loss 2.1510 (2.2075)	Prec@1 35.938 (44.474)	Prec@5 75.000 (75.051)
Epoch: [39][1490/14090]	Time 0.759 (0.768)	Data 0.001 (0.004)	Loss 2.1632 (2.2074)	Prec@1 44.531 (44.472)	Prec@5 75.000 (75.054)
Epoch: [39][1500/14090]	Time 0.730 (0.768)	Data 0.001 (0.004)	Loss 2.0194 (2.2073)	Prec@1 51.562 (44.475)	Prec@5 76.562 (75.055)
Epoch: [39][1510/14090]	Time 0.730 (0.768)	Data 0.001 (0.004)	Loss 2.2901 (2.2066)	Prec@1 39.844 (44.487)	Prec@5 70.312 (75.074)
Epoch: [39][1520/14090]	Time 0.819 (0.768)	Data 0.001 (0.004)	Loss 2.5064 (2.2068)	Prec@1 40.625 (44.478)	Prec@5 65.625 (75.063)
Epoch: [39][1530/14090]	Time 0.730 (0.768)	Data 0.001 (0.004)	Loss 2.4955 (2.2070)	Prec@1 42.188 (44.472)	Prec@5 71.094 (75.055)
Epoch: [39][1540/14090]	Time 0.742 (0.768)	Data 0.001 (0.004)	Loss 2.4124 (2.2076)	Prec@1 35.938 (44.462)	Prec@5 71.094 (75.036)
Epoch: [39][1550/14090]	Time 0.755 (0.768)	Data 0.001 (0.004)	Loss 1.9248 (2.2074)	Prec@1 50.000 (44.462)	Prec@5 79.688 (75.045)
Epoch: [39][1560/14090]	Time 0.746 (0.768)	Data 0.001 (0.004)	Loss 2.2005 (2.2080)	Prec@1 46.094 (44.450)	Prec@5 72.656 (75.026)
Epoch: [39][1570/14090]	Time 0.767 (0.768)	Data 0.001 (0.004)	Loss 2.4364 (2.2082)	Prec@1 39.062 (44.449)	Prec@5 74.219 (75.020)
Epoch: [39][1580/14090]	Time 0.737 (0.768)	Data 0.001 (0.004)	Loss 2.3955 (2.2090)	Prec@1 41.406 (44.423)	Prec@5 67.969 (75.002)
Epoch: [39][1590/14090]	Time 0.880 (0.768)	Data 0.001 (0.004)	Loss 2.0924 (2.2093)	Prec@1 50.000 (44.416)	Prec@5 76.562 (74.998)
Epoch: [39][1600/14090]	Time 0.763 (0.768)	Data 0.001 (0.004)	Loss 2.2906 (2.2095)	Prec@1 41.406 (44.408)	Prec@5 77.344 (74.999)
Epoch: [39][1610/14090]	Time 0.742 (0.768)	Data 0.001 (0.004)	Loss 1.9031 (2.2088)	Prec@1 52.344 (44.419)	Prec@5 78.125 (75.016)
Epoch: [39][1620/14090]	Time 0.731 (0.768)	Data 0.001 (0.004)	Loss 2.2935 (2.2091)	Prec@1 47.656 (44.422)	Prec@5 73.438 (75.013)
Epoch: [39][1630/14090]	Time 0.747 (0.768)	Data 0.001 (0.004)	Loss 2.4173 (2.2096)	Prec@1 42.188 (44.410)	Prec@5 72.656 (75.007)
Epoch: [39][1640/14090]	Time 0.731 (0.768)	Data 0.001 (0.004)	Loss 1.9912 (2.2091)	Prec@1 49.219 (44.416)	Prec@5 81.250 (75.014)
Epoch: [39][1650/14090]	Time 0.747 (0.768)	Data 0.001 (0.004)	Loss 2.1769 (2.2088)	Prec@1 43.750 (44.424)	Prec@5 75.781 (75.021)
Epoch: [39][1660/14090]	Time 0.858 (0.768)	Data 0.001 (0.004)	Loss 2.3261 (2.2088)	Prec@1 39.062 (44.424)	Prec@5 67.969 (75.016)
Epoch: [39][1670/14090]	Time 0.731 (0.768)	Data 0.001 (0.004)	Loss 2.2197 (2.2088)	Prec@1 39.062 (44.420)	Prec@5 72.656 (75.019)
Epoch: [39][1680/14090]	Time 0.749 (0.768)	Data 0.001 (0.004)	Loss 2.0801 (2.2082)	Prec@1 46.094 (44.431)	Prec@5 76.562 (75.029)
Epoch: [39][1690/14090]	Time 0.730 (0.768)	Data 0.001 (0.004)	Loss 2.5120 (2.2082)	Prec@1 39.062 (44.440)	Prec@5 68.750 (75.025)
Epoch: [39][1700/14090]	Time 0.759 (0.768)	Data 0.001 (0.004)	Loss 2.1659 (2.2082)	Prec@1 42.969 (44.442)	Prec@5 77.344 (75.020)
Epoch: [39][1710/14090]	Time 0.743 (0.768)	Data 0.001 (0.004)	Loss 2.1726 (2.2087)	Prec@1 45.312 (44.438)	Prec@5 75.781 (75.014)
Epoch: [39][1720/14090]	Time 0.741 (0.768)	Data 0.001 (0.004)	Loss 2.2389 (2.2091)	Prec@1 42.188 (44.430)	Prec@5 71.875 (75.005)
Epoch: [39][1730/14090]	Time 0.874 (0.768)	Data 0.001 (0.004)	Loss 2.0975 (2.2093)	Prec@1 45.312 (44.424)	Prec@5 75.000 (75.003)
Epoch: [39][1740/14090]	Time 0.736 (0.768)	Data 0.001 (0.004)	Loss 2.2978 (2.2097)	Prec@1 39.844 (44.416)	Prec@5 71.875 (74.997)
Epoch: [39][1750/14090]	Time 0.780 (0.768)	Data 0.001 (0.004)	Loss 2.1466 (2.2095)	Prec@1 45.312 (44.428)	Prec@5 78.125 (74.993)
Epoch: [39][1760/14090]	Time 0.774 (0.768)	Data 0.001 (0.004)	Loss 2.1325 (2.2094)	Prec@1 50.000 (44.425)	Prec@5 82.031 (75.002)
Epoch: [39][1770/14090]	Time 0.742 (0.768)	Data 0.001 (0.004)	Loss 2.0996 (2.2096)	Prec@1 44.531 (44.411)	Prec@5 73.438 (74.993)
Epoch: [39][1780/14090]	Time 0.750 (0.768)	Data 0.001 (0.004)	Loss 2.0805 (2.2092)	Prec@1 43.750 (44.423)	Prec@5 76.562 (74.991)
Epoch: [39][1790/14090]	Time 0.753 (0.768)	Data 0.001 (0.004)	Loss 1.8762 (2.2092)	Prec@1 53.906 (44.421)	Prec@5 80.469 (75.000)
Epoch: [39][1800/14090]	Time 0.908 (0.768)	Data 0.001 (0.004)	Loss 2.1809 (2.2093)	Prec@1 45.312 (44.425)	Prec@5 75.781 (74.999)
Epoch: [39][1810/14090]	Time 0.744 (0.768)	Data 0.001 (0.004)	Loss 2.5105 (2.2100)	Prec@1 42.969 (44.411)	Prec@5 70.312 (74.984)
Epoch: [39][1820/14090]	Time 0.777 (0.768)	Data 0.001 (0.004)	Loss 2.3065 (2.2096)	Prec@1 47.656 (44.427)	Prec@5 72.656 (74.994)
Epoch: [39][1830/14090]	Time 0.768 (0.768)	Data 0.001 (0.003)	Loss 2.0743 (2.2092)	Prec@1 50.781 (44.434)	Prec@5 75.781 (74.996)
Epoch: [39][1840/14090]	Time 0.732 (0.768)	Data 0.001 (0.003)	Loss 2.2995 (2.2095)	Prec@1 40.625 (44.419)	Prec@5 67.188 (74.989)
Epoch: [39][1850/14090]	Time 0.761 (0.768)	Data 0.001 (0.003)	Loss 2.1536 (2.2093)	Prec@1 46.875 (44.422)	Prec@5 78.906 (74.997)
Epoch: [39][1860/14090]	Time 0.762 (0.768)	Data 0.001 (0.003)	Loss 2.3853 (2.2098)	Prec@1 35.156 (44.402)	Prec@5 68.750 (74.990)
Epoch: [39][1870/14090]	Time 0.844 (0.768)	Data 0.001 (0.003)	Loss 2.1913 (2.2100)	Prec@1 47.656 (44.398)	Prec@5 71.094 (74.976)
Epoch: [39][1880/14090]	Time 0.738 (0.768)	Data 0.001 (0.003)	Loss 2.2228 (2.2099)	Prec@1 41.406 (44.400)	Prec@5 77.344 (74.985)
Epoch: [39][1890/14090]	Time 0.754 (0.768)	Data 0.001 (0.003)	Loss 2.3444 (2.2102)	Prec@1 47.656 (44.399)	Prec@5 75.781 (74.983)
Epoch: [39][1900/14090]	Time 0.751 (0.768)	Data 0.001 (0.003)	Loss 2.1314 (2.2104)	Prec@1 46.094 (44.407)	Prec@5 77.344 (74.979)
Epoch: [39][1910/14090]	Time 0.729 (0.768)	Data 0.001 (0.003)	Loss 2.1393 (2.2106)	Prec@1 46.875 (44.402)	Prec@5 75.000 (74.971)
Epoch: [39][1920/14090]	Time 0.757 (0.768)	Data 0.001 (0.003)	Loss 2.1918 (2.2108)	Prec@1 45.312 (44.405)	Prec@5 71.875 (74.956)
Epoch: [39][1930/14090]	Time 0.754 (0.768)	Data 0.001 (0.003)	Loss 2.0444 (2.2105)	Prec@1 47.656 (44.411)	Prec@5 77.344 (74.961)
Epoch: [39][1940/14090]	Time 0.916 (0.768)	Data 0.001 (0.003)	Loss 1.8658 (2.2102)	Prec@1 55.469 (44.421)	Prec@5 81.250 (74.964)
Epoch: [39][1950/14090]	Time 0.744 (0.768)	Data 0.001 (0.003)	Loss 2.3906 (2.2102)	Prec@1 41.406 (44.423)	Prec@5 71.094 (74.964)
Epoch: [39][1960/14090]	Time 0.738 (0.768)	Data 0.001 (0.003)	Loss 2.4524 (2.2100)	Prec@1 42.188 (44.426)	Prec@5 71.094 (74.963)
Epoch: [39][1970/14090]	Time 0.729 (0.768)	Data 0.001 (0.003)	Loss 2.2916 (2.2102)	Prec@1 43.750 (44.417)	Prec@5 74.219 (74.965)
Epoch: [39][1980/14090]	Time 0.721 (0.768)	Data 0.001 (0.003)	Loss 1.9018 (2.2103)	Prec@1 47.656 (44.416)	Prec@5 78.125 (74.961)
Epoch: [39][1990/14090]	Time 0.757 (0.768)	Data 0.001 (0.003)	Loss 2.0932 (2.2104)	Prec@1 42.969 (44.416)	Prec@5 76.562 (74.958)
Epoch: [39][2000/14090]	Time 0.764 (0.768)	Data 0.001 (0.003)	Loss 2.2534 (2.2106)	Prec@1 42.969 (44.411)	Prec@5 77.344 (74.956)
Epoch: [39][2010/14090]	Time 0.876 (0.768)	Data 0.001 (0.003)	Loss 2.0092 (2.2102)	Prec@1 40.625 (44.415)	Prec@5 78.906 (74.963)
Epoch: [39][2020/14090]	Time 0.739 (0.768)	Data 0.001 (0.003)	Loss 2.1258 (2.2103)	Prec@1 45.312 (44.415)	Prec@5 75.781 (74.957)
Epoch: [39][2030/14090]	Time 0.729 (0.768)	Data 0.001 (0.003)	Loss 2.3450 (2.2104)	Prec@1 38.281 (44.408)	Prec@5 73.438 (74.956)
Epoch: [39][2040/14090]	Time 0.748 (0.768)	Data 0.001 (0.003)	Loss 2.4142 (2.2104)	Prec@1 39.844 (44.410)	Prec@5 71.094 (74.957)
Epoch: [39][2050/14090]	Time 0.718 (0.767)	Data 0.001 (0.003)	Loss 2.1070 (2.2099)	Prec@1 48.438 (44.424)	Prec@5 75.000 (74.968)
Epoch: [39][2060/14090]	Time 0.756 (0.768)	Data 0.001 (0.003)	Loss 2.0708 (2.2097)	Prec@1 53.125 (44.432)	Prec@5 76.562 (74.966)
Epoch: [39][2070/14090]	Time 0.746 (0.767)	Data 0.001 (0.003)	Loss 2.1246 (2.2097)	Prec@1 42.188 (44.424)	Prec@5 79.688 (74.966)
Epoch: [39][2080/14090]	Time 0.884 (0.768)	Data 0.001 (0.003)	Loss 2.4246 (2.2095)	Prec@1 39.844 (44.430)	Prec@5 73.438 (74.969)
Epoch: [39][2090/14090]	Time 0.736 (0.767)	Data 0.001 (0.003)	Loss 2.2049 (2.2094)	Prec@1 43.750 (44.430)	Prec@5 78.906 (74.975)
Epoch: [39][2100/14090]	Time 0.734 (0.767)	Data 0.001 (0.003)	Loss 2.1703 (2.2091)	Prec@1 37.500 (44.437)	Prec@5 77.344 (74.980)
Epoch: [39][2110/14090]	Time 0.775 (0.767)	Data 0.001 (0.003)	Loss 2.0750 (2.2090)	Prec@1 46.875 (44.438)	Prec@5 76.562 (74.977)
Epoch: [39][2120/14090]	Time 0.771 (0.767)	Data 0.001 (0.003)	Loss 2.2537 (2.2095)	Prec@1 41.406 (44.426)	Prec@5 77.344 (74.973)
Epoch: [39][2130/14090]	Time 0.760 (0.767)	Data 0.001 (0.003)	Loss 2.2404 (2.2095)	Prec@1 43.750 (44.416)	Prec@5 71.094 (74.974)
Epoch: [39][2140/14090]	Time 0.777 (0.767)	Data 0.001 (0.003)	Loss 2.3727 (2.2098)	Prec@1 41.406 (44.411)	Prec@5 71.875 (74.967)
Epoch: [39][2150/14090]	Time 0.863 (0.767)	Data 0.001 (0.003)	Loss 2.3008 (2.2101)	Prec@1 45.312 (44.407)	Prec@5 75.781 (74.963)
Epoch: [39][2160/14090]	Time 0.735 (0.767)	Data 0.001 (0.003)	Loss 2.0504 (2.2102)	Prec@1 45.312 (44.406)	Prec@5 81.250 (74.965)
Epoch: [39][2170/14090]	Time 0.743 (0.767)	Data 0.001 (0.003)	Loss 2.2474 (2.2098)	Prec@1 42.188 (44.407)	Prec@5 78.125 (74.972)
Epoch: [39][2180/14090]	Time 0.732 (0.767)	Data 0.001 (0.003)	Loss 2.0421 (2.2099)	Prec@1 50.781 (44.414)	Prec@5 79.688 (74.975)
Epoch: [39][2190/14090]	Time 0.735 (0.767)	Data 0.001 (0.003)	Loss 1.9630 (2.2097)	Prec@1 45.312 (44.414)	Prec@5 79.688 (74.979)
Epoch: [39][2200/14090]	Time 0.753 (0.767)	Data 0.001 (0.003)	Loss 2.1142 (2.2099)	Prec@1 48.438 (44.414)	Prec@5 71.875 (74.977)
Epoch: [39][2210/14090]	Time 0.764 (0.767)	Data 0.001 (0.003)	Loss 2.2761 (2.2099)	Prec@1 42.969 (44.410)	Prec@5 69.531 (74.980)
Epoch: [39][2220/14090]	Time 0.906 (0.767)	Data 0.001 (0.003)	Loss 2.3820 (2.2099)	Prec@1 37.500 (44.406)	Prec@5 74.219 (74.986)
Epoch: [39][2230/14090]	Time 0.750 (0.767)	Data 0.001 (0.003)	Loss 2.0122 (2.2097)	Prec@1 55.469 (44.414)	Prec@5 78.125 (74.991)
Epoch: [39][2240/14090]	Time 0.720 (0.767)	Data 0.001 (0.003)	Loss 2.3155 (2.2095)	Prec@1 42.188 (44.420)	Prec@5 67.969 (74.990)
Epoch: [39][2250/14090]	Time 0.739 (0.767)	Data 0.001 (0.003)	Loss 2.1241 (2.2092)	Prec@1 44.531 (44.433)	Prec@5 77.344 (74.991)
Epoch: [39][2260/14090]	Time 0.753 (0.767)	Data 0.001 (0.003)	Loss 2.2400 (2.2094)	Prec@1 42.969 (44.426)	Prec@5 72.656 (74.988)
Epoch: [39][2270/14090]	Time 0.759 (0.767)	Data 0.001 (0.003)	Loss 2.0268 (2.2091)	Prec@1 43.750 (44.426)	Prec@5 78.906 (74.993)
Epoch: [39][2280/14090]	Time 0.768 (0.767)	Data 0.001 (0.003)	Loss 2.4363 (2.2092)	Prec@1 40.625 (44.420)	Prec@5 70.312 (74.992)
Epoch: [39][2290/14090]	Time 1.006 (0.767)	Data 0.001 (0.003)	Loss 2.1923 (2.2094)	Prec@1 49.219 (44.413)	Prec@5 74.219 (74.991)
Epoch: [39][2300/14090]	Time 0.742 (0.767)	Data 0.001 (0.003)	Loss 2.0228 (2.2094)	Prec@1 44.531 (44.413)	Prec@5 78.906 (74.992)
Epoch: [39][2310/14090]	Time 0.763 (0.767)	Data 0.001 (0.003)	Loss 2.3495 (2.2096)	Prec@1 46.094 (44.413)	Prec@5 73.438 (74.990)
Epoch: [39][2320/14090]	Time 0.758 (0.767)	Data 0.001 (0.003)	Loss 2.1948 (2.2096)	Prec@1 50.000 (44.415)	Prec@5 74.219 (74.984)
Epoch: [39][2330/14090]	Time 0.754 (0.767)	Data 0.001 (0.003)	Loss 2.5466 (2.2097)	Prec@1 41.406 (44.421)	Prec@5 64.844 (74.980)
Epoch: [39][2340/14090]	Time 0.773 (0.767)	Data 0.001 (0.003)	Loss 2.0425 (2.2095)	Prec@1 46.094 (44.425)	Prec@5 79.688 (74.986)
Epoch: [39][2350/14090]	Time 0.759 (0.767)	Data 0.001 (0.003)	Loss 2.1817 (2.2093)	Prec@1 41.406 (44.429)	Prec@5 76.562 (74.990)
Epoch: [39][2360/14090]	Time 0.846 (0.767)	Data 0.001 (0.003)	Loss 2.5791 (2.2096)	Prec@1 35.156 (44.420)	Prec@5 71.094 (74.983)
Epoch: [39][2370/14090]	Time 0.759 (0.767)	Data 0.001 (0.003)	Loss 2.2226 (2.2095)	Prec@1 41.406 (44.421)	Prec@5 74.219 (74.991)
Epoch: [39][2380/14090]	Time 0.768 (0.767)	Data 0.001 (0.003)	Loss 2.2102 (2.2095)	Prec@1 42.969 (44.415)	Prec@5 74.219 (74.984)
Epoch: [39][2390/14090]	Time 0.750 (0.767)	Data 0.001 (0.003)	Loss 2.0351 (2.2098)	Prec@1 50.781 (44.405)	Prec@5 75.781 (74.979)
Epoch: [39][2400/14090]	Time 0.727 (0.767)	Data 0.001 (0.003)	Loss 2.0370 (2.2098)	Prec@1 47.656 (44.404)	Prec@5 76.562 (74.985)
Epoch: [39][2410/14090]	Time 0.736 (0.768)	Data 0.001 (0.003)	Loss 1.9359 (2.2096)	Prec@1 52.344 (44.408)	Prec@5 77.344 (74.989)
Epoch: [39][2420/14090]	Time 0.738 (0.768)	Data 0.001 (0.003)	Loss 2.3869 (2.2097)	Prec@1 39.062 (44.400)	Prec@5 74.219 (74.992)
Epoch: [39][2430/14090]	Time 0.841 (0.768)	Data 0.001 (0.003)	Loss 2.2665 (2.2099)	Prec@1 40.625 (44.397)	Prec@5 72.656 (74.988)
Epoch: [39][2440/14090]	Time 0.743 (0.768)	Data 0.001 (0.003)	Loss 1.9733 (2.2097)	Prec@1 53.906 (44.404)	Prec@5 75.781 (74.989)
Epoch: [39][2450/14090]	Time 0.736 (0.768)	Data 0.001 (0.003)	Loss 2.0294 (2.2099)	Prec@1 50.000 (44.401)	Prec@5 77.344 (74.986)
Epoch: [39][2460/14090]	Time 0.741 (0.767)	Data 0.001 (0.003)	Loss 1.9858 (2.2098)	Prec@1 53.906 (44.400)	Prec@5 77.344 (74.986)
Epoch: [39][2470/14090]	Time 0.745 (0.767)	Data 0.001 (0.003)	Loss 2.3302 (2.2099)	Prec@1 42.188 (44.392)	Prec@5 71.094 (74.990)
Epoch: [39][2480/14090]	Time 0.736 (0.767)	Data 0.001 (0.003)	Loss 2.0998 (2.2102)	Prec@1 39.844 (44.382)	Prec@5 82.812 (74.988)
Epoch: [39][2490/14090]	Time 0.754 (0.767)	Data 0.001 (0.003)	Loss 2.2876 (2.2100)	Prec@1 43.750 (44.382)	Prec@5 67.969 (74.991)
Epoch: [39][2500/14090]	Time 0.873 (0.767)	Data 0.001 (0.003)	Loss 2.1648 (2.2100)	Prec@1 48.438 (44.383)	Prec@5 76.562 (74.998)
Epoch: [39][2510/14090]	Time 0.747 (0.767)	Data 0.001 (0.003)	Loss 2.2149 (2.2100)	Prec@1 46.094 (44.391)	Prec@5 71.875 (74.993)
Epoch: [39][2520/14090]	Time 0.729 (0.767)	Data 0.001 (0.003)	Loss 2.3206 (2.2105)	Prec@1 41.406 (44.381)	Prec@5 71.875 (74.985)
Epoch: [39][2530/14090]	Time 0.777 (0.767)	Data 0.001 (0.003)	Loss 2.0892 (2.2104)	Prec@1 51.562 (44.382)	Prec@5 78.125 (74.991)
Epoch: [39][2540/14090]	Time 0.723 (0.767)	Data 0.001 (0.003)	Loss 1.9900 (2.2107)	Prec@1 50.000 (44.379)	Prec@5 78.906 (74.985)
Epoch: [39][2550/14090]	Time 0.734 (0.767)	Data 0.001 (0.003)	Loss 2.1224 (2.2106)	Prec@1 46.875 (44.381)	Prec@5 75.000 (74.984)
Epoch: [39][2560/14090]	Time 0.774 (0.767)	Data 0.001 (0.003)	Loss 2.4026 (2.2106)	Prec@1 39.062 (44.380)	Prec@5 71.875 (74.989)
Epoch: [39][2570/14090]	Time 0.851 (0.767)	Data 0.001 (0.003)	Loss 2.5045 (2.2108)	Prec@1 39.062 (44.376)	Prec@5 70.312 (74.984)
Epoch: [39][2580/14090]	Time 0.753 (0.767)	Data 0.001 (0.003)	Loss 2.3019 (2.2112)	Prec@1 42.188 (44.370)	Prec@5 73.438 (74.975)
Epoch: [39][2590/14090]	Time 0.756 (0.767)	Data 0.001 (0.003)	Loss 1.9364 (2.2110)	Prec@1 51.562 (44.374)	Prec@5 79.688 (74.976)
Epoch: [39][2600/14090]	Time 0.739 (0.767)	Data 0.001 (0.003)	Loss 2.4287 (2.2111)	Prec@1 42.188 (44.374)	Prec@5 67.188 (74.971)
Epoch: [39][2610/14090]	Time 0.731 (0.767)	Data 0.001 (0.003)	Loss 2.3570 (2.2112)	Prec@1 38.281 (44.373)	Prec@5 76.562 (74.978)
Epoch: [39][2620/14090]	Time 0.742 (0.767)	Data 0.001 (0.003)	Loss 2.2406 (2.2113)	Prec@1 46.094 (44.370)	Prec@5 76.562 (74.973)
Epoch: [39][2630/14090]	Time 0.727 (0.767)	Data 0.001 (0.003)	Loss 2.3970 (2.2113)	Prec@1 38.281 (44.372)	Prec@5 74.219 (74.974)
Epoch: [39][2640/14090]	Time 0.874 (0.767)	Data 0.001 (0.003)	Loss 2.2458 (2.2111)	Prec@1 35.938 (44.374)	Prec@5 75.781 (74.980)
Epoch: [39][2650/14090]	Time 0.774 (0.767)	Data 0.001 (0.003)	Loss 2.3093 (2.2112)	Prec@1 42.188 (44.374)	Prec@5 71.875 (74.981)
Epoch: [39][2660/14090]	Time 0.746 (0.767)	Data 0.001 (0.003)	Loss 2.2605 (2.2115)	Prec@1 41.406 (44.367)	Prec@5 74.219 (74.973)
Epoch: [39][2670/14090]	Time 0.735 (0.767)	Data 0.001 (0.003)	Loss 2.2016 (2.2117)	Prec@1 42.969 (44.358)	Prec@5 74.219 (74.963)
Epoch: [39][2680/14090]	Time 0.731 (0.767)	Data 0.001 (0.003)	Loss 2.2715 (2.2118)	Prec@1 44.531 (44.357)	Prec@5 73.438 (74.964)
Epoch: [39][2690/14090]	Time 0.736 (0.767)	Data 0.001 (0.003)	Loss 2.3412 (2.2117)	Prec@1 42.969 (44.362)	Prec@5 71.094 (74.963)
Epoch: [39][2700/14090]	Time 0.756 (0.767)	Data 0.001 (0.003)	Loss 2.3238 (2.2121)	Prec@1 36.719 (44.358)	Prec@5 71.875 (74.953)
Epoch: [39][2710/14090]	Time 0.846 (0.767)	Data 0.001 (0.003)	Loss 2.3236 (2.2119)	Prec@1 39.062 (44.362)	Prec@5 71.094 (74.951)
Epoch: [39][2720/14090]	Time 0.745 (0.767)	Data 0.001 (0.003)	Loss 2.1313 (2.2117)	Prec@1 46.094 (44.365)	Prec@5 77.344 (74.955)
Epoch: [39][2730/14090]	Time 0.733 (0.767)	Data 0.001 (0.003)	Loss 2.2851 (2.2119)	Prec@1 44.531 (44.360)	Prec@5 75.000 (74.951)
Epoch: [39][2740/14090]	Time 0.736 (0.767)	Data 0.001 (0.003)	Loss 1.9607 (2.2121)	Prec@1 51.562 (44.355)	Prec@5 80.469 (74.945)
Epoch: [39][2750/14090]	Time 0.730 (0.767)	Data 0.001 (0.003)	Loss 2.2988 (2.2121)	Prec@1 43.750 (44.354)	Prec@5 75.000 (74.947)
Epoch: [39][2760/14090]	Time 0.759 (0.767)	Data 0.001 (0.003)	Loss 2.5985 (2.2122)	Prec@1 39.062 (44.355)	Prec@5 64.062 (74.942)
Epoch: [39][2770/14090]	Time 0.758 (0.767)	Data 0.001 (0.003)	Loss 2.2940 (2.2123)	Prec@1 38.281 (44.358)	Prec@5 72.656 (74.939)
Epoch: [39][2780/14090]	Time 0.906 (0.767)	Data 0.001 (0.003)	Loss 2.3013 (2.2122)	Prec@1 44.531 (44.356)	Prec@5 68.750 (74.937)
Epoch: [39][2790/14090]	Time 0.763 (0.767)	Data 0.001 (0.003)	Loss 2.2873 (2.2122)	Prec@1 49.219 (44.357)	Prec@5 70.312 (74.937)
Epoch: [39][2800/14090]	Time 0.754 (0.767)	Data 0.001 (0.003)	Loss 2.4560 (2.2123)	Prec@1 37.500 (44.356)	Prec@5 70.312 (74.937)
Epoch: [39][2810/14090]	Time 0.785 (0.767)	Data 0.001 (0.003)	Loss 1.8762 (2.2120)	Prec@1 57.031 (44.360)	Prec@5 82.031 (74.940)
Epoch: [39][2820/14090]	Time 0.759 (0.767)	Data 0.001 (0.003)	Loss 2.3616 (2.2123)	Prec@1 42.969 (44.355)	Prec@5 69.531 (74.934)
Epoch: [39][2830/14090]	Time 0.760 (0.767)	Data 0.001 (0.003)	Loss 2.3334 (2.2123)	Prec@1 39.062 (44.356)	Prec@5 74.219 (74.931)
Epoch: [39][2840/14090]	Time 0.760 (0.767)	Data 0.001 (0.003)	Loss 2.3595 (2.2122)	Prec@1 43.750 (44.365)	Prec@5 72.656 (74.935)
Epoch: [39][2850/14090]	Time 0.844 (0.767)	Data 0.001 (0.003)	Loss 2.1827 (2.2124)	Prec@1 41.406 (44.358)	Prec@5 74.219 (74.931)
Epoch: [39][2860/14090]	Time 0.734 (0.767)	Data 0.001 (0.003)	Loss 2.2436 (2.2120)	Prec@1 39.844 (44.364)	Prec@5 70.312 (74.936)
Epoch: [39][2870/14090]	Time 0.727 (0.767)	Data 0.001 (0.003)	Loss 2.0957 (2.2119)	Prec@1 46.875 (44.368)	Prec@5 77.344 (74.941)
Epoch: [39][2880/14090]	Time 0.755 (0.767)	Data 0.001 (0.003)	Loss 2.0347 (2.2121)	Prec@1 46.875 (44.364)	Prec@5 78.906 (74.943)
Epoch: [39][2890/14090]	Time 0.761 (0.767)	Data 0.001 (0.002)	Loss 1.9577 (2.2118)	Prec@1 55.469 (44.370)	Prec@5 84.375 (74.950)
Epoch: [39][2900/14090]	Time 0.761 (0.767)	Data 0.001 (0.002)	Loss 1.9789 (2.2117)	Prec@1 49.219 (44.372)	Prec@5 78.906 (74.951)
Epoch: [39][2910/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 2.1571 (2.2115)	Prec@1 44.531 (44.376)	Prec@5 77.344 (74.952)
Epoch: [39][2920/14090]	Time 0.861 (0.767)	Data 0.001 (0.002)	Loss 2.2945 (2.2115)	Prec@1 43.750 (44.379)	Prec@5 71.875 (74.952)
Epoch: [39][2930/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 2.1490 (2.2115)	Prec@1 45.312 (44.376)	Prec@5 76.562 (74.949)
Epoch: [39][2940/14090]	Time 0.753 (0.767)	Data 0.002 (0.002)	Loss 2.4463 (2.2115)	Prec@1 44.531 (44.376)	Prec@5 69.531 (74.947)
Epoch: [39][2950/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 2.3130 (2.2113)	Prec@1 40.625 (44.384)	Prec@5 71.875 (74.948)
Epoch: [39][2960/14090]	Time 0.782 (0.767)	Data 0.001 (0.002)	Loss 2.1469 (2.2112)	Prec@1 43.750 (44.387)	Prec@5 78.906 (74.955)
Epoch: [39][2970/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 2.3031 (2.2116)	Prec@1 39.844 (44.380)	Prec@5 73.438 (74.947)
Epoch: [39][2980/14090]	Time 0.761 (0.767)	Data 0.001 (0.002)	Loss 2.2981 (2.2116)	Prec@1 42.969 (44.379)	Prec@5 72.656 (74.951)
Epoch: [39][2990/14090]	Time 0.839 (0.767)	Data 0.001 (0.002)	Loss 2.2493 (2.2119)	Prec@1 41.406 (44.373)	Prec@5 75.781 (74.949)
Epoch: [39][3000/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 2.1412 (2.2120)	Prec@1 48.438 (44.372)	Prec@5 81.250 (74.949)
Epoch: [39][3010/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 1.7954 (2.2119)	Prec@1 57.031 (44.379)	Prec@5 83.594 (74.951)
Epoch: [39][3020/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 1.8786 (2.2118)	Prec@1 54.688 (44.383)	Prec@5 83.594 (74.955)
Epoch: [39][3030/14090]	Time 0.784 (0.767)	Data 0.001 (0.002)	Loss 2.0736 (2.2116)	Prec@1 53.125 (44.387)	Prec@5 78.906 (74.961)
Epoch: [39][3040/14090]	Time 0.725 (0.767)	Data 0.001 (0.002)	Loss 2.0636 (2.2115)	Prec@1 46.094 (44.394)	Prec@5 80.469 (74.962)
Epoch: [39][3050/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 2.3423 (2.2116)	Prec@1 39.844 (44.390)	Prec@5 73.438 (74.965)
Epoch: [39][3060/14090]	Time 0.861 (0.767)	Data 0.001 (0.002)	Loss 2.0877 (2.2114)	Prec@1 46.094 (44.388)	Prec@5 78.125 (74.968)
Epoch: [39][3070/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 2.0982 (2.2115)	Prec@1 47.656 (44.384)	Prec@5 75.781 (74.965)
Epoch: [39][3080/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 2.3593 (2.2114)	Prec@1 44.531 (44.388)	Prec@5 73.438 (74.972)
Epoch: [39][3090/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 2.3991 (2.2114)	Prec@1 44.531 (44.385)	Prec@5 77.344 (74.974)
Epoch: [39][3100/14090]	Time 0.728 (0.767)	Data 0.001 (0.002)	Loss 2.2575 (2.2113)	Prec@1 39.062 (44.388)	Prec@5 71.875 (74.969)
Epoch: [39][3110/14090]	Time 0.736 (0.767)	Data 0.003 (0.002)	Loss 2.4650 (2.2115)	Prec@1 35.156 (44.386)	Prec@5 69.531 (74.967)
Epoch: [39][3120/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 2.3636 (2.2115)	Prec@1 45.312 (44.386)	Prec@5 75.000 (74.967)
Epoch: [39][3130/14090]	Time 0.860 (0.767)	Data 0.001 (0.002)	Loss 2.5583 (2.2114)	Prec@1 40.625 (44.391)	Prec@5 71.875 (74.971)
Epoch: [39][3140/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 2.2657 (2.2117)	Prec@1 46.875 (44.390)	Prec@5 75.000 (74.966)
Epoch: [39][3150/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 2.2878 (2.2119)	Prec@1 42.969 (44.385)	Prec@5 73.438 (74.961)
Epoch: [39][3160/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 2.1948 (2.2119)	Prec@1 42.969 (44.389)	Prec@5 75.000 (74.962)
Epoch: [39][3170/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 2.1520 (2.2120)	Prec@1 46.875 (44.384)	Prec@5 75.781 (74.961)
Epoch: [39][3180/14090]	Time 0.760 (0.767)	Data 0.001 (0.002)	Loss 2.3104 (2.2122)	Prec@1 39.844 (44.380)	Prec@5 77.344 (74.962)
Epoch: [39][3190/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 2.4629 (2.2121)	Prec@1 31.250 (44.386)	Prec@5 67.188 (74.963)
Epoch: [39][3200/14090]	Time 0.872 (0.767)	Data 0.001 (0.002)	Loss 2.0167 (2.2119)	Prec@1 49.219 (44.391)	Prec@5 76.562 (74.964)
Epoch: [39][3210/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 2.4831 (2.2115)	Prec@1 45.312 (44.403)	Prec@5 69.531 (74.972)
Epoch: [39][3220/14090]	Time 0.725 (0.766)	Data 0.001 (0.002)	Loss 2.2945 (2.2113)	Prec@1 42.969 (44.407)	Prec@5 74.219 (74.977)
Epoch: [39][3230/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 2.3381 (2.2113)	Prec@1 40.625 (44.404)	Prec@5 70.312 (74.973)
Epoch: [39][3240/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 2.1330 (2.2113)	Prec@1 47.656 (44.402)	Prec@5 73.438 (74.970)
Epoch: [39][3250/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 2.1340 (2.2114)	Prec@1 45.312 (44.401)	Prec@5 76.562 (74.965)
Epoch: [39][3260/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 2.4276 (2.2112)	Prec@1 39.844 (44.401)	Prec@5 68.750 (74.971)
Epoch: [39][3270/14090]	Time 0.873 (0.767)	Data 0.001 (0.002)	Loss 2.3670 (2.2108)	Prec@1 38.281 (44.412)	Prec@5 78.906 (74.977)
Epoch: [39][3280/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 2.0628 (2.2106)	Prec@1 41.406 (44.417)	Prec@5 81.250 (74.980)
Epoch: [39][3290/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 1.9801 (2.2104)	Prec@1 41.406 (44.419)	Prec@5 75.000 (74.982)
Epoch: [39][3300/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 1.9990 (2.2105)	Prec@1 48.438 (44.422)	Prec@5 78.125 (74.981)
Epoch: [39][3310/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 2.4064 (2.2105)	Prec@1 38.281 (44.416)	Prec@5 74.219 (74.987)
Epoch: [39][3320/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 2.4629 (2.2104)	Prec@1 38.281 (44.414)	Prec@5 75.000 (74.992)
Epoch: [39][3330/14090]	Time 0.723 (0.766)	Data 0.001 (0.002)	Loss 2.1295 (2.2103)	Prec@1 44.531 (44.413)	Prec@5 76.562 (74.995)
Epoch: [39][3340/14090]	Time 0.841 (0.766)	Data 0.001 (0.002)	Loss 2.2820 (2.2105)	Prec@1 46.094 (44.413)	Prec@5 72.656 (74.992)
Epoch: [39][3350/14090]	Time 0.761 (0.766)	Data 0.001 (0.002)	Loss 2.0030 (2.2107)	Prec@1 48.438 (44.410)	Prec@5 80.469 (74.989)
Epoch: [39][3360/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 2.2488 (2.2105)	Prec@1 40.625 (44.412)	Prec@5 71.875 (74.995)
Epoch: [39][3370/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 2.2713 (2.2104)	Prec@1 42.969 (44.411)	Prec@5 76.562 (74.996)
Epoch: [39][3380/14090]	Time 0.766 (0.766)	Data 0.001 (0.002)	Loss 2.2317 (2.2104)	Prec@1 43.750 (44.410)	Prec@5 73.438 (74.998)
Epoch: [39][3390/14090]	Time 0.764 (0.766)	Data 0.001 (0.002)	Loss 2.1160 (2.2101)	Prec@1 47.656 (44.415)	Prec@5 80.469 (75.003)
Epoch: [39][3400/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.5420 (2.2103)	Prec@1 34.375 (44.411)	Prec@5 71.875 (75.003)
Epoch: [39][3410/14090]	Time 0.862 (0.766)	Data 0.001 (0.002)	Loss 2.2461 (2.2101)	Prec@1 39.844 (44.413)	Prec@5 76.562 (75.004)
Epoch: [39][3420/14090]	Time 0.773 (0.766)	Data 0.001 (0.002)	Loss 2.1896 (2.2101)	Prec@1 49.219 (44.416)	Prec@5 75.000 (75.005)
Epoch: [39][3430/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.3838 (2.2102)	Prec@1 35.156 (44.412)	Prec@5 71.875 (75.004)
Epoch: [39][3440/14090]	Time 0.766 (0.766)	Data 0.001 (0.002)	Loss 2.1471 (2.2100)	Prec@1 47.656 (44.416)	Prec@5 75.000 (75.005)
Epoch: [39][3450/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.1562 (2.2101)	Prec@1 46.094 (44.412)	Prec@5 76.562 (75.002)
Epoch: [39][3460/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 2.2749 (2.2104)	Prec@1 41.406 (44.407)	Prec@5 74.219 (74.997)
Epoch: [39][3470/14090]	Time 0.763 (0.766)	Data 0.001 (0.002)	Loss 1.9630 (2.2103)	Prec@1 53.125 (44.408)	Prec@5 78.906 (75.004)
Epoch: [39][3480/14090]	Time 0.843 (0.766)	Data 0.001 (0.002)	Loss 2.1851 (2.2105)	Prec@1 46.094 (44.405)	Prec@5 71.875 (75.001)
Epoch: [39][3490/14090]	Time 0.744 (0.766)	Data 0.002 (0.002)	Loss 2.5295 (2.2107)	Prec@1 38.281 (44.396)	Prec@5 66.406 (74.998)
Epoch: [39][3500/14090]	Time 0.763 (0.766)	Data 0.001 (0.002)	Loss 2.3235 (2.2107)	Prec@1 46.875 (44.394)	Prec@5 75.781 (74.998)
Epoch: [39][3510/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.1849 (2.2104)	Prec@1 42.188 (44.392)	Prec@5 78.125 (75.009)
Epoch: [39][3520/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 2.3283 (2.2104)	Prec@1 39.062 (44.394)	Prec@5 72.656 (75.006)
Epoch: [39][3530/14090]	Time 0.753 (0.766)	Data 0.003 (0.002)	Loss 2.6337 (2.2104)	Prec@1 38.281 (44.398)	Prec@5 65.625 (75.009)
Epoch: [39][3540/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 2.3241 (2.2104)	Prec@1 45.312 (44.395)	Prec@5 71.094 (75.009)
Epoch: [39][3550/14090]	Time 0.878 (0.766)	Data 0.001 (0.002)	Loss 2.4207 (2.2105)	Prec@1 38.281 (44.394)	Prec@5 73.438 (75.009)
Epoch: [39][3560/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.3502 (2.2108)	Prec@1 37.500 (44.384)	Prec@5 76.562 (75.008)
Epoch: [39][3570/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 2.1800 (2.2109)	Prec@1 45.312 (44.382)	Prec@5 75.781 (75.005)
Epoch: [39][3580/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 2.0890 (2.2108)	Prec@1 47.656 (44.387)	Prec@5 78.125 (75.007)
Epoch: [39][3590/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 2.4589 (2.2109)	Prec@1 38.281 (44.388)	Prec@5 71.875 (75.004)
Epoch: [39][3600/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 2.3112 (2.2109)	Prec@1 46.094 (44.392)	Prec@5 76.562 (75.006)
Epoch: [39][3610/14090]	Time 0.728 (0.766)	Data 0.001 (0.002)	Loss 2.0176 (2.2110)	Prec@1 55.469 (44.393)	Prec@5 75.781 (75.003)
Epoch: [39][3620/14090]	Time 0.889 (0.766)	Data 0.001 (0.002)	Loss 2.3003 (2.2109)	Prec@1 41.406 (44.399)	Prec@5 73.438 (75.006)
Epoch: [39][3630/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 2.2464 (2.2109)	Prec@1 42.969 (44.399)	Prec@5 74.219 (75.008)
Epoch: [39][3640/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 2.2263 (2.2109)	Prec@1 46.094 (44.395)	Prec@5 72.656 (75.004)
Epoch: [39][3650/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 2.0301 (2.2110)	Prec@1 48.438 (44.397)	Prec@5 78.125 (75.002)
Epoch: [39][3660/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 2.2073 (2.2110)	Prec@1 44.531 (44.397)	Prec@5 71.094 (75.003)
Epoch: [39][3670/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.3596 (2.2111)	Prec@1 35.938 (44.393)	Prec@5 72.656 (75.004)
Epoch: [39][3680/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.4113 (2.2113)	Prec@1 44.531 (44.392)	Prec@5 73.438 (75.001)
Epoch: [39][3690/14090]	Time 0.897 (0.766)	Data 0.001 (0.002)	Loss 2.4837 (2.2115)	Prec@1 38.281 (44.387)	Prec@5 73.438 (74.997)
Epoch: [39][3700/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 1.9786 (2.2116)	Prec@1 46.875 (44.381)	Prec@5 79.688 (74.996)
Epoch: [39][3710/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.1639 (2.2116)	Prec@1 39.844 (44.379)	Prec@5 77.344 (74.996)
Epoch: [39][3720/14090]	Time 0.761 (0.766)	Data 0.001 (0.002)	Loss 2.3686 (2.2117)	Prec@1 39.062 (44.377)	Prec@5 67.969 (74.993)
Epoch: [39][3730/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 1.9513 (2.2114)	Prec@1 46.094 (44.379)	Prec@5 81.250 (74.998)
Epoch: [39][3740/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 2.0405 (2.2115)	Prec@1 46.094 (44.378)	Prec@5 78.125 (74.996)
Epoch: [39][3750/14090]	Time 0.764 (0.766)	Data 0.001 (0.002)	Loss 2.2606 (2.2118)	Prec@1 42.969 (44.372)	Prec@5 75.781 (74.988)
Epoch: [39][3760/14090]	Time 0.891 (0.766)	Data 0.001 (0.002)	Loss 2.0983 (2.2119)	Prec@1 47.656 (44.374)	Prec@5 75.781 (74.984)
Epoch: [39][3770/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.0367 (2.2118)	Prec@1 47.656 (44.380)	Prec@5 78.906 (74.988)
Epoch: [39][3780/14090]	Time 0.761 (0.766)	Data 0.001 (0.002)	Loss 2.2232 (2.2117)	Prec@1 42.188 (44.381)	Prec@5 73.438 (74.992)
Epoch: [39][3790/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.1515 (2.2118)	Prec@1 40.625 (44.375)	Prec@5 75.781 (74.991)
Epoch: [39][3800/14090]	Time 0.728 (0.766)	Data 0.001 (0.002)	Loss 2.2631 (2.2116)	Prec@1 45.312 (44.375)	Prec@5 75.000 (74.999)
Epoch: [39][3810/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.4990 (2.2117)	Prec@1 42.969 (44.379)	Prec@5 74.219 (74.998)
Epoch: [39][3820/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.2607 (2.2115)	Prec@1 42.188 (44.386)	Prec@5 75.781 (75.000)
Epoch: [39][3830/14090]	Time 0.869 (0.766)	Data 0.001 (0.002)	Loss 2.2121 (2.2114)	Prec@1 43.750 (44.390)	Prec@5 75.781 (75.004)
Epoch: [39][3840/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.2185 (2.2115)	Prec@1 46.875 (44.388)	Prec@5 75.781 (75.003)
Epoch: [39][3850/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 2.1177 (2.2114)	Prec@1 45.312 (44.389)	Prec@5 78.906 (75.006)
Epoch: [39][3860/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.0681 (2.2114)	Prec@1 46.094 (44.394)	Prec@5 75.000 (75.007)
Epoch: [39][3870/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.1449 (2.2112)	Prec@1 50.781 (44.400)	Prec@5 76.562 (75.007)
Epoch: [39][3880/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 1.7897 (2.2113)	Prec@1 53.125 (44.402)	Prec@5 79.688 (75.007)
Epoch: [39][3890/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 2.3148 (2.2112)	Prec@1 38.281 (44.395)	Prec@5 78.125 (75.013)
Epoch: [39][3900/14090]	Time 0.922 (0.766)	Data 0.001 (0.002)	Loss 2.2481 (2.2114)	Prec@1 45.312 (44.391)	Prec@5 71.094 (75.008)
Epoch: [39][3910/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.0875 (2.2113)	Prec@1 46.094 (44.391)	Prec@5 78.125 (75.010)
Epoch: [39][3920/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 2.3658 (2.2112)	Prec@1 45.312 (44.390)	Prec@5 69.531 (75.014)
Epoch: [39][3930/14090]	Time 0.766 (0.766)	Data 0.001 (0.002)	Loss 1.9638 (2.2113)	Prec@1 52.344 (44.390)	Prec@5 82.031 (75.014)
Epoch: [39][3940/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.3464 (2.2115)	Prec@1 46.094 (44.387)	Prec@5 70.312 (75.009)
Epoch: [39][3950/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 2.2245 (2.2117)	Prec@1 42.969 (44.377)	Prec@5 77.344 (75.007)
Epoch: [39][3960/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.1739 (2.2119)	Prec@1 45.312 (44.372)	Prec@5 76.562 (75.002)
Epoch: [39][3970/14090]	Time 0.873 (0.766)	Data 0.001 (0.002)	Loss 2.3385 (2.2119)	Prec@1 37.500 (44.373)	Prec@5 71.094 (75.002)
Epoch: [39][3980/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.0743 (2.2119)	Prec@1 46.875 (44.372)	Prec@5 75.781 (75.003)
Epoch: [39][3990/14090]	Time 0.765 (0.766)	Data 0.001 (0.002)	Loss 2.2215 (2.2120)	Prec@1 42.969 (44.370)	Prec@5 71.875 (75.000)
Epoch: [39][4000/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 1.9753 (2.2119)	Prec@1 46.875 (44.368)	Prec@5 80.469 (75.004)
Epoch: [39][4010/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 2.0763 (2.2120)	Prec@1 50.781 (44.362)	Prec@5 78.125 (75.003)
Epoch: [39][4020/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 2.2803 (2.2121)	Prec@1 42.969 (44.362)	Prec@5 69.531 (74.997)
Epoch: [39][4030/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 2.4453 (2.2121)	Prec@1 35.156 (44.362)	Prec@5 65.625 (74.999)
Epoch: [39][4040/14090]	Time 0.838 (0.766)	Data 0.001 (0.002)	Loss 2.3185 (2.2122)	Prec@1 37.500 (44.358)	Prec@5 75.781 (74.997)
Epoch: [39][4050/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.2670 (2.2122)	Prec@1 43.750 (44.359)	Prec@5 70.312 (74.995)
Epoch: [39][4060/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 2.2672 (2.2124)	Prec@1 46.094 (44.352)	Prec@5 75.781 (74.994)
Epoch: [39][4070/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 2.2107 (2.2124)	Prec@1 44.531 (44.349)	Prec@5 74.219 (74.998)
Epoch: [39][4080/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 2.0283 (2.2124)	Prec@1 45.312 (44.347)	Prec@5 78.125 (74.999)
Epoch: [39][4090/14090]	Time 0.763 (0.766)	Data 0.001 (0.002)	Loss 1.9413 (2.2123)	Prec@1 52.344 (44.350)	Prec@5 74.219 (75.001)
Epoch: [39][4100/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.2696 (2.2124)	Prec@1 42.969 (44.347)	Prec@5 72.656 (74.999)
Epoch: [39][4110/14090]	Time 0.853 (0.766)	Data 0.001 (0.002)	Loss 1.9477 (2.2123)	Prec@1 46.875 (44.348)	Prec@5 81.250 (75.002)
Epoch: [39][4120/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 1.9975 (2.2123)	Prec@1 50.781 (44.348)	Prec@5 77.344 (75.004)
Epoch: [39][4130/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 2.5427 (2.2126)	Prec@1 36.719 (44.344)	Prec@5 71.094 (74.998)
Epoch: [39][4140/14090]	Time 0.780 (0.766)	Data 0.001 (0.002)	Loss 2.2628 (2.2128)	Prec@1 40.625 (44.340)	Prec@5 73.438 (74.997)
Epoch: [39][4150/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 2.1232 (2.2128)	Prec@1 42.969 (44.342)	Prec@5 78.125 (74.998)
Epoch: [39][4160/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.3748 (2.2130)	Prec@1 43.750 (44.341)	Prec@5 71.094 (74.998)
Epoch: [39][4170/14090]	Time 0.776 (0.766)	Data 0.001 (0.002)	Loss 2.3720 (2.2129)	Prec@1 39.844 (44.339)	Prec@5 73.438 (75.001)
Epoch: [39][4180/14090]	Time 0.833 (0.766)	Data 0.001 (0.002)	Loss 1.9917 (2.2128)	Prec@1 49.219 (44.339)	Prec@5 82.031 (75.004)
Epoch: [39][4190/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.2517 (2.2130)	Prec@1 42.188 (44.337)	Prec@5 72.656 (75.004)
Epoch: [39][4200/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.3457 (2.2130)	Prec@1 44.531 (44.339)	Prec@5 75.000 (75.005)
Epoch: [39][4210/14090]	Time 0.777 (0.766)	Data 0.001 (0.002)	Loss 2.4016 (2.2131)	Prec@1 43.750 (44.339)	Prec@5 70.312 (75.006)
Epoch: [39][4220/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.4442 (2.2131)	Prec@1 39.062 (44.339)	Prec@5 68.750 (75.003)
Epoch: [39][4230/14090]	Time 0.764 (0.766)	Data 0.001 (0.002)	Loss 2.1701 (2.2130)	Prec@1 48.438 (44.339)	Prec@5 71.875 (75.002)
Epoch: [39][4240/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 2.1544 (2.2131)	Prec@1 44.531 (44.336)	Prec@5 74.219 (75.002)
Epoch: [39][4250/14090]	Time 0.864 (0.766)	Data 0.001 (0.002)	Loss 1.8963 (2.2129)	Prec@1 51.562 (44.337)	Prec@5 81.250 (75.009)
Epoch: [39][4260/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 2.5404 (2.2129)	Prec@1 44.531 (44.337)	Prec@5 67.188 (75.009)
Epoch: [39][4270/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 1.9478 (2.2129)	Prec@1 39.844 (44.339)	Prec@5 82.812 (75.012)
Epoch: [39][4280/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 2.4297 (2.2129)	Prec@1 38.281 (44.338)	Prec@5 71.875 (75.010)
Epoch: [39][4290/14090]	Time 0.764 (0.766)	Data 0.001 (0.002)	Loss 2.0680 (2.2130)	Prec@1 50.781 (44.336)	Prec@5 77.344 (75.009)
Epoch: [39][4300/14090]	Time 0.768 (0.766)	Data 0.001 (0.002)	Loss 2.3644 (2.2130)	Prec@1 48.438 (44.336)	Prec@5 75.000 (75.007)
Epoch: [39][4310/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 2.1096 (2.2131)	Prec@1 46.094 (44.331)	Prec@5 71.094 (75.002)
Epoch: [39][4320/14090]	Time 0.847 (0.766)	Data 0.001 (0.002)	Loss 1.8511 (2.2130)	Prec@1 50.781 (44.332)	Prec@5 82.812 (75.007)
Epoch: [39][4330/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 1.9995 (2.2129)	Prec@1 50.781 (44.334)	Prec@5 76.562 (75.008)
Epoch: [39][4340/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 2.3129 (2.2130)	Prec@1 44.531 (44.334)	Prec@5 75.000 (75.004)
Epoch: [39][4350/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.3558 (2.2131)	Prec@1 42.188 (44.334)	Prec@5 71.875 (74.999)
Epoch: [39][4360/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 2.3147 (2.2133)	Prec@1 44.531 (44.326)	Prec@5 73.438 (74.997)
Epoch: [39][4370/14090]	Time 0.763 (0.766)	Data 0.001 (0.002)	Loss 2.2724 (2.2132)	Prec@1 44.531 (44.326)	Prec@5 68.750 (74.995)
Epoch: [39][4380/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 1.9699 (2.2133)	Prec@1 47.656 (44.323)	Prec@5 78.906 (74.997)
Epoch: [39][4390/14090]	Time 0.861 (0.766)	Data 0.001 (0.002)	Loss 2.1422 (2.2133)	Prec@1 46.875 (44.320)	Prec@5 78.125 (74.997)
Epoch: [39][4400/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 2.1326 (2.2133)	Prec@1 43.750 (44.322)	Prec@5 78.906 (74.998)
Epoch: [39][4410/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 2.1592 (2.2133)	Prec@1 44.531 (44.320)	Prec@5 78.125 (74.996)
Epoch: [39][4420/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 2.1538 (2.2132)	Prec@1 45.312 (44.322)	Prec@5 75.781 (74.999)
Epoch: [39][4430/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 2.0238 (2.2130)	Prec@1 48.438 (44.322)	Prec@5 76.562 (74.999)
Epoch: [39][4440/14090]	Time 0.728 (0.766)	Data 0.001 (0.002)	Loss 2.1769 (2.2131)	Prec@1 49.219 (44.320)	Prec@5 74.219 (74.997)
Epoch: [39][4450/14090]	Time 0.772 (0.766)	Data 0.001 (0.002)	Loss 2.2863 (2.2132)	Prec@1 42.188 (44.319)	Prec@5 71.094 (74.996)
Epoch: [39][4460/14090]	Time 0.905 (0.766)	Data 0.001 (0.002)	Loss 2.2289 (2.2135)	Prec@1 39.844 (44.310)	Prec@5 75.781 (74.992)
Epoch: [39][4470/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 2.3631 (2.2135)	Prec@1 41.406 (44.311)	Prec@5 71.875 (74.989)
Epoch: [39][4480/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.2075 (2.2133)	Prec@1 46.094 (44.315)	Prec@5 72.656 (74.990)
Epoch: [39][4490/14090]	Time 0.766 (0.766)	Data 0.001 (0.002)	Loss 2.3219 (2.2132)	Prec@1 40.625 (44.317)	Prec@5 73.438 (74.992)
Epoch: [39][4500/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.3751 (2.2134)	Prec@1 42.188 (44.316)	Prec@5 73.438 (74.988)
Epoch: [39][4510/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 2.3122 (2.2134)	Prec@1 37.500 (44.314)	Prec@5 77.344 (74.991)
Epoch: [39][4520/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.3657 (2.2133)	Prec@1 36.719 (44.317)	Prec@5 67.188 (74.990)
Epoch: [39][4530/14090]	Time 0.855 (0.766)	Data 0.001 (0.002)	Loss 2.3822 (2.2133)	Prec@1 38.281 (44.316)	Prec@5 71.094 (74.991)
Epoch: [39][4540/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 2.1665 (2.2134)	Prec@1 46.875 (44.316)	Prec@5 78.906 (74.992)
Epoch: [39][4550/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.0191 (2.2135)	Prec@1 44.531 (44.311)	Prec@5 80.469 (74.992)
Epoch: [39][4560/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 2.4071 (2.2136)	Prec@1 37.500 (44.313)	Prec@5 71.094 (74.988)
Epoch: [39][4570/14090]	Time 0.764 (0.766)	Data 0.001 (0.002)	Loss 2.0889 (2.2136)	Prec@1 49.219 (44.315)	Prec@5 75.000 (74.987)
Epoch: [39][4580/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.1980 (2.2136)	Prec@1 45.312 (44.321)	Prec@5 75.781 (74.987)
Epoch: [39][4590/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 2.1405 (2.2135)	Prec@1 46.094 (44.322)	Prec@5 76.562 (74.988)
Epoch: [39][4600/14090]	Time 0.997 (0.766)	Data 0.001 (0.002)	Loss 2.2794 (2.2132)	Prec@1 42.188 (44.326)	Prec@5 78.906 (74.996)
Epoch: [39][4610/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.0019 (2.2132)	Prec@1 50.000 (44.324)	Prec@5 77.344 (74.997)
Epoch: [39][4620/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 2.0807 (2.2132)	Prec@1 45.312 (44.323)	Prec@5 77.344 (75.000)
Epoch: [39][4630/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.2306 (2.2133)	Prec@1 44.531 (44.322)	Prec@5 75.781 (74.996)
Epoch: [39][4640/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 1.9166 (2.2130)	Prec@1 49.219 (44.324)	Prec@5 78.906 (75.001)
Epoch: [39][4650/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.5465 (2.2133)	Prec@1 40.625 (44.319)	Prec@5 67.969 (74.996)
Epoch: [39][4660/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.3602 (2.2134)	Prec@1 41.406 (44.319)	Prec@5 67.969 (74.995)
Epoch: [39][4670/14090]	Time 0.857 (0.766)	Data 0.001 (0.002)	Loss 1.8774 (2.2132)	Prec@1 54.688 (44.325)	Prec@5 78.906 (74.999)
Epoch: [39][4680/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 2.3298 (2.2133)	Prec@1 39.062 (44.321)	Prec@5 74.219 (74.997)
Epoch: [39][4690/14090]	Time 0.763 (0.766)	Data 0.001 (0.002)	Loss 2.3757 (2.2133)	Prec@1 43.750 (44.324)	Prec@5 68.750 (74.997)
Epoch: [39][4700/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.2773 (2.2134)	Prec@1 35.938 (44.316)	Prec@5 74.219 (74.994)
Epoch: [39][4710/14090]	Time 0.771 (0.766)	Data 0.001 (0.002)	Loss 1.9945 (2.2134)	Prec@1 54.688 (44.319)	Prec@5 79.688 (74.990)
Epoch: [39][4720/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 2.2797 (2.2134)	Prec@1 44.531 (44.321)	Prec@5 75.781 (74.992)
Epoch: [39][4730/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 1.8708 (2.2134)	Prec@1 51.562 (44.322)	Prec@5 80.469 (74.991)
Epoch: [39][4740/14090]	Time 0.930 (0.766)	Data 0.001 (0.002)	Loss 2.3830 (2.2135)	Prec@1 39.844 (44.322)	Prec@5 74.219 (74.990)
Epoch: [39][4750/14090]	Time 0.726 (0.766)	Data 0.001 (0.002)	Loss 2.1448 (2.2136)	Prec@1 43.750 (44.319)	Prec@5 77.344 (74.988)
Epoch: [39][4760/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.1285 (2.2136)	Prec@1 45.312 (44.320)	Prec@5 76.562 (74.989)
Epoch: [39][4770/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 2.3987 (2.2138)	Prec@1 40.625 (44.316)	Prec@5 72.656 (74.982)
Epoch: [39][4780/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.3569 (2.2139)	Prec@1 42.969 (44.314)	Prec@5 72.656 (74.978)
Epoch: [39][4790/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.1704 (2.2139)	Prec@1 44.531 (44.312)	Prec@5 75.781 (74.979)
Epoch: [39][4800/14090]	Time 0.768 (0.766)	Data 0.001 (0.002)	Loss 2.3845 (2.2140)	Prec@1 42.188 (44.310)	Prec@5 74.219 (74.977)
Epoch: [39][4810/14090]	Time 0.850 (0.766)	Data 0.001 (0.002)	Loss 2.3629 (2.2140)	Prec@1 42.969 (44.311)	Prec@5 74.219 (74.978)
Epoch: [39][4820/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 2.1423 (2.2139)	Prec@1 46.094 (44.317)	Prec@5 78.906 (74.980)
Epoch: [39][4830/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 2.2132 (2.2139)	Prec@1 42.188 (44.314)	Prec@5 71.094 (74.979)
Epoch: [39][4840/14090]	Time 0.785 (0.766)	Data 0.001 (0.002)	Loss 2.1873 (2.2138)	Prec@1 44.531 (44.317)	Prec@5 75.781 (74.979)
Epoch: [39][4850/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 2.0108 (2.2136)	Prec@1 50.000 (44.325)	Prec@5 81.250 (74.984)
Epoch: [39][4860/14090]	Time 0.740 (0.766)	Data 0.002 (0.002)	Loss 2.0918 (2.2136)	Prec@1 50.781 (44.326)	Prec@5 74.219 (74.983)
Epoch: [39][4870/14090]	Time 0.726 (0.766)	Data 0.001 (0.002)	Loss 2.3652 (2.2137)	Prec@1 42.188 (44.326)	Prec@5 75.000 (74.984)
Epoch: [39][4880/14090]	Time 0.864 (0.766)	Data 0.001 (0.002)	Loss 2.3344 (2.2135)	Prec@1 42.969 (44.331)	Prec@5 68.750 (74.984)
Epoch: [39][4890/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 2.0723 (2.2133)	Prec@1 45.312 (44.334)	Prec@5 77.344 (74.986)
Epoch: [39][4900/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.1178 (2.2134)	Prec@1 44.531 (44.332)	Prec@5 76.562 (74.988)
Epoch: [39][4910/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 1.9018 (2.2135)	Prec@1 52.344 (44.330)	Prec@5 78.906 (74.984)
Epoch: [39][4920/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 2.1566 (2.2135)	Prec@1 42.969 (44.328)	Prec@5 76.562 (74.983)
Epoch: [39][4930/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 2.1831 (2.2135)	Prec@1 45.312 (44.327)	Prec@5 75.000 (74.980)
Epoch: [39][4940/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 1.9990 (2.2134)	Prec@1 52.344 (44.331)	Prec@5 76.562 (74.982)
Epoch: [39][4950/14090]	Time 0.852 (0.766)	Data 0.001 (0.002)	Loss 2.6679 (2.2134)	Prec@1 37.500 (44.329)	Prec@5 66.406 (74.983)
Epoch: [39][4960/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.3496 (2.2135)	Prec@1 42.188 (44.328)	Prec@5 71.875 (74.981)
Epoch: [39][4970/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 2.1249 (2.2135)	Prec@1 41.406 (44.325)	Prec@5 71.875 (74.978)
Epoch: [39][4980/14090]	Time 0.728 (0.766)	Data 0.001 (0.002)	Loss 2.1506 (2.2135)	Prec@1 39.844 (44.325)	Prec@5 77.344 (74.981)
Epoch: [39][4990/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 1.8955 (2.2135)	Prec@1 52.344 (44.326)	Prec@5 77.344 (74.982)
Epoch: [39][5000/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.3469 (2.2135)	Prec@1 39.844 (44.327)	Prec@5 75.781 (74.982)
Epoch: [39][5010/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.2702 (2.2133)	Prec@1 40.625 (44.329)	Prec@5 71.094 (74.985)
Epoch: [39][5020/14090]	Time 0.871 (0.766)	Data 0.001 (0.002)	Loss 2.0836 (2.2134)	Prec@1 50.000 (44.330)	Prec@5 78.125 (74.983)
Epoch: [39][5030/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.2900 (2.2134)	Prec@1 41.406 (44.330)	Prec@5 69.531 (74.984)
Epoch: [39][5040/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 2.2639 (2.2135)	Prec@1 40.625 (44.328)	Prec@5 76.562 (74.986)
Epoch: [39][5050/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.3878 (2.2135)	Prec@1 38.281 (44.327)	Prec@5 72.656 (74.985)
Epoch: [39][5060/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 2.0899 (2.2135)	Prec@1 49.219 (44.329)	Prec@5 79.688 (74.984)
Epoch: [39][5070/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.2978 (2.2135)	Prec@1 42.969 (44.330)	Prec@5 72.656 (74.982)
Epoch: [39][5080/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 1.9528 (2.2134)	Prec@1 49.219 (44.329)	Prec@5 78.906 (74.983)
Epoch: [39][5090/14090]	Time 0.797 (0.766)	Data 0.001 (0.002)	Loss 2.2492 (2.2134)	Prec@1 44.531 (44.329)	Prec@5 78.906 (74.983)
Epoch: [39][5100/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.2648 (2.2134)	Prec@1 42.188 (44.329)	Prec@5 75.000 (74.982)
Epoch: [39][5110/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 1.9102 (2.2131)	Prec@1 46.875 (44.331)	Prec@5 80.469 (74.984)
Epoch: [39][5120/14090]	Time 0.770 (0.766)	Data 0.001 (0.002)	Loss 2.3216 (2.2131)	Prec@1 39.844 (44.331)	Prec@5 73.438 (74.986)
Epoch: [39][5130/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.4864 (2.2131)	Prec@1 37.500 (44.329)	Prec@5 68.750 (74.985)
Epoch: [39][5140/14090]	Time 0.725 (0.766)	Data 0.000 (0.002)	Loss 2.3046 (2.2132)	Prec@1 44.531 (44.326)	Prec@5 69.531 (74.981)
Epoch: [39][5150/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.3233 (2.2134)	Prec@1 41.406 (44.326)	Prec@5 71.094 (74.979)
Epoch: [39][5160/14090]	Time 0.871 (0.766)	Data 0.001 (0.002)	Loss 2.6568 (2.2133)	Prec@1 38.281 (44.329)	Prec@5 67.188 (74.980)
Epoch: [39][5170/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 1.9833 (2.2133)	Prec@1 43.750 (44.328)	Prec@5 77.344 (74.982)
Epoch: [39][5180/14090]	Time 0.728 (0.766)	Data 0.001 (0.002)	Loss 2.1207 (2.2133)	Prec@1 44.531 (44.328)	Prec@5 77.344 (74.983)
Epoch: [39][5190/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 2.2741 (2.2132)	Prec@1 39.844 (44.329)	Prec@5 79.688 (74.985)
Epoch: [39][5200/14090]	Time 0.725 (0.766)	Data 0.001 (0.002)	Loss 1.7868 (2.2132)	Prec@1 55.469 (44.329)	Prec@5 86.719 (74.985)
Epoch: [39][5210/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 2.2232 (2.2131)	Prec@1 39.844 (44.331)	Prec@5 78.125 (74.989)
Epoch: [39][5220/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 2.4177 (2.2130)	Prec@1 32.031 (44.333)	Prec@5 71.875 (74.991)
Epoch: [39][5230/14090]	Time 0.845 (0.766)	Data 0.001 (0.002)	Loss 2.7572 (2.2133)	Prec@1 32.812 (44.326)	Prec@5 69.531 (74.988)
Epoch: [39][5240/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.2966 (2.2132)	Prec@1 42.188 (44.330)	Prec@5 71.875 (74.987)
Epoch: [39][5250/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 1.9032 (2.2130)	Prec@1 47.656 (44.335)	Prec@5 84.375 (74.992)
Epoch: [39][5260/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 2.0916 (2.2129)	Prec@1 47.656 (44.336)	Prec@5 76.562 (74.993)
Epoch: [39][5270/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.0886 (2.2129)	Prec@1 46.875 (44.338)	Prec@5 78.125 (74.992)
Epoch: [39][5280/14090]	Time 0.765 (0.766)	Data 0.001 (0.002)	Loss 2.2903 (2.2129)	Prec@1 39.062 (44.337)	Prec@5 75.781 (74.993)
Epoch: [39][5290/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 2.1582 (2.2130)	Prec@1 45.312 (44.335)	Prec@5 75.000 (74.992)
Epoch: [39][5300/14090]	Time 0.871 (0.766)	Data 0.001 (0.002)	Loss 2.3937 (2.2129)	Prec@1 41.406 (44.336)	Prec@5 71.875 (74.994)
Epoch: [39][5310/14090]	Time 0.774 (0.766)	Data 0.001 (0.002)	Loss 1.8837 (2.2129)	Prec@1 50.781 (44.336)	Prec@5 80.469 (74.992)
Epoch: [39][5320/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 2.2724 (2.2128)	Prec@1 39.844 (44.336)	Prec@5 70.312 (74.990)
Epoch: [39][5330/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.1180 (2.2129)	Prec@1 48.438 (44.338)	Prec@5 73.438 (74.988)
Epoch: [39][5340/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.4546 (2.2129)	Prec@1 42.188 (44.338)	Prec@5 74.219 (74.990)
Epoch: [39][5350/14090]	Time 0.763 (0.766)	Data 0.001 (0.002)	Loss 2.0048 (2.2128)	Prec@1 50.000 (44.337)	Prec@5 82.812 (74.994)
Epoch: [39][5360/14090]	Time 0.766 (0.766)	Data 0.001 (0.002)	Loss 2.0897 (2.2129)	Prec@1 50.781 (44.334)	Prec@5 75.000 (74.992)
Epoch: [39][5370/14090]	Time 0.816 (0.766)	Data 0.001 (0.002)	Loss 2.1769 (2.2130)	Prec@1 42.188 (44.331)	Prec@5 72.656 (74.993)
Epoch: [39][5380/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 2.1288 (2.2131)	Prec@1 47.656 (44.329)	Prec@5 76.562 (74.992)
Epoch: [39][5390/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 2.1455 (2.2131)	Prec@1 49.219 (44.326)	Prec@5 75.781 (74.996)
Epoch: [39][5400/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.3224 (2.2131)	Prec@1 45.312 (44.326)	Prec@5 75.000 (74.996)
Epoch: [39][5410/14090]	Time 0.721 (0.766)	Data 0.001 (0.002)	Loss 2.0045 (2.2132)	Prec@1 49.219 (44.325)	Prec@5 81.250 (74.995)
Epoch: [39][5420/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.4427 (2.2131)	Prec@1 39.844 (44.325)	Prec@5 71.094 (74.998)
Epoch: [39][5430/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.1982 (2.2132)	Prec@1 44.531 (44.325)	Prec@5 75.781 (74.999)
Epoch: [39][5440/14090]	Time 0.850 (0.766)	Data 0.001 (0.002)	Loss 1.9219 (2.2131)	Prec@1 50.781 (44.328)	Prec@5 78.125 (75.000)
Epoch: [39][5450/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 2.5095 (2.2131)	Prec@1 34.375 (44.328)	Prec@5 71.875 (75.001)
Epoch: [39][5460/14090]	Time 0.721 (0.766)	Data 0.001 (0.002)	Loss 2.2215 (2.2131)	Prec@1 41.406 (44.325)	Prec@5 72.656 (74.999)
Epoch: [39][5470/14090]	Time 0.768 (0.766)	Data 0.001 (0.002)	Loss 1.9076 (2.2131)	Prec@1 47.656 (44.326)	Prec@5 82.812 (74.998)
Epoch: [39][5480/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.1694 (2.2131)	Prec@1 45.312 (44.327)	Prec@5 76.562 (74.999)
Epoch: [39][5490/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.5237 (2.2132)	Prec@1 41.406 (44.327)	Prec@5 66.406 (74.996)
Epoch: [39][5500/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 2.2385 (2.2132)	Prec@1 44.531 (44.325)	Prec@5 71.094 (75.000)
Epoch: [39][5510/14090]	Time 0.889 (0.766)	Data 0.001 (0.002)	Loss 2.1687 (2.2132)	Prec@1 44.531 (44.324)	Prec@5 75.000 (74.996)
Epoch: [39][5520/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.3994 (2.2133)	Prec@1 38.281 (44.323)	Prec@5 73.438 (74.996)
Epoch: [39][5530/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.2490 (2.2132)	Prec@1 38.281 (44.324)	Prec@5 74.219 (74.999)
Epoch: [39][5540/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 2.3194 (2.2133)	Prec@1 43.750 (44.323)	Prec@5 68.750 (74.995)
Epoch: [39][5550/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.2248 (2.2134)	Prec@1 41.406 (44.320)	Prec@5 71.094 (74.994)
Epoch: [39][5560/14090]	Time 0.764 (0.766)	Data 0.001 (0.002)	Loss 2.3530 (2.2133)	Prec@1 39.844 (44.321)	Prec@5 75.000 (74.996)
Epoch: [39][5570/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 2.2300 (2.2134)	Prec@1 47.656 (44.320)	Prec@5 72.656 (74.995)
Epoch: [39][5580/14090]	Time 0.869 (0.766)	Data 0.001 (0.002)	Loss 2.2556 (2.2136)	Prec@1 41.406 (44.317)	Prec@5 76.562 (74.993)
Epoch: [39][5590/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 2.0226 (2.2135)	Prec@1 47.656 (44.318)	Prec@5 78.125 (74.997)
Epoch: [39][5600/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 2.1144 (2.2135)	Prec@1 49.219 (44.318)	Prec@5 75.781 (74.997)
Epoch: [39][5610/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 2.6505 (2.2136)	Prec@1 38.281 (44.317)	Prec@5 67.188 (74.996)
Epoch: [39][5620/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.3459 (2.2137)	Prec@1 46.875 (44.315)	Prec@5 71.094 (74.994)
Epoch: [39][5630/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 2.2170 (2.2137)	Prec@1 44.531 (44.315)	Prec@5 71.875 (74.994)
Epoch: [39][5640/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.2313 (2.2137)	Prec@1 44.531 (44.317)	Prec@5 74.219 (74.995)
Epoch: [39][5650/14090]	Time 0.858 (0.766)	Data 0.001 (0.002)	Loss 2.3882 (2.2137)	Prec@1 35.938 (44.314)	Prec@5 70.312 (74.992)
Epoch: [39][5660/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.2689 (2.2138)	Prec@1 38.281 (44.313)	Prec@5 72.656 (74.992)
Epoch: [39][5670/14090]	Time 0.761 (0.766)	Data 0.001 (0.002)	Loss 2.2253 (2.2138)	Prec@1 45.312 (44.315)	Prec@5 77.344 (74.994)
Epoch: [39][5680/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.2562 (2.2139)	Prec@1 42.969 (44.315)	Prec@5 77.344 (74.992)
Epoch: [39][5690/14090]	Time 0.780 (0.766)	Data 0.001 (0.002)	Loss 2.3345 (2.2139)	Prec@1 46.094 (44.318)	Prec@5 75.781 (74.991)
Epoch: [39][5700/14090]	Time 0.764 (0.766)	Data 0.001 (0.002)	Loss 2.3829 (2.2139)	Prec@1 42.969 (44.319)	Prec@5 72.656 (74.989)
Epoch: [39][5710/14090]	Time 0.761 (0.766)	Data 0.001 (0.002)	Loss 2.1884 (2.2138)	Prec@1 45.312 (44.320)	Prec@5 71.875 (74.989)
Epoch: [39][5720/14090]	Time 0.824 (0.766)	Data 0.001 (0.002)	Loss 2.3855 (2.2139)	Prec@1 42.188 (44.318)	Prec@5 69.531 (74.986)
Epoch: [39][5730/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 2.2198 (2.2138)	Prec@1 47.656 (44.323)	Prec@5 73.438 (74.987)
Epoch: [39][5740/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.3590 (2.2139)	Prec@1 48.438 (44.321)	Prec@5 74.219 (74.986)
Epoch: [39][5750/14090]	Time 0.774 (0.766)	Data 0.001 (0.002)	Loss 2.2652 (2.2139)	Prec@1 44.531 (44.322)	Prec@5 72.656 (74.989)
Epoch: [39][5760/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 2.2961 (2.2139)	Prec@1 35.938 (44.318)	Prec@5 79.688 (74.990)
Epoch: [39][5770/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.3941 (2.2141)	Prec@1 39.844 (44.315)	Prec@5 71.875 (74.989)
Epoch: [39][5780/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.2011 (2.2142)	Prec@1 42.188 (44.312)	Prec@5 74.219 (74.986)
Epoch: [39][5790/14090]	Time 0.871 (0.766)	Data 0.001 (0.002)	Loss 2.5906 (2.2142)	Prec@1 35.938 (44.310)	Prec@5 66.406 (74.984)
Epoch: [39][5800/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.2377 (2.2142)	Prec@1 46.094 (44.312)	Prec@5 75.000 (74.982)
Epoch: [39][5810/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 2.3065 (2.2142)	Prec@1 44.531 (44.314)	Prec@5 71.875 (74.981)
Epoch: [39][5820/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.3287 (2.2143)	Prec@1 43.750 (44.310)	Prec@5 72.656 (74.978)
Epoch: [39][5830/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 2.0760 (2.2143)	Prec@1 44.531 (44.309)	Prec@5 78.906 (74.978)
Epoch: [39][5840/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 2.0916 (2.2143)	Prec@1 48.438 (44.308)	Prec@5 71.094 (74.977)
Epoch: [39][5850/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.3443 (2.2144)	Prec@1 37.500 (44.307)	Prec@5 77.344 (74.975)
Epoch: [39][5860/14090]	Time 0.837 (0.766)	Data 0.001 (0.002)	Loss 1.7692 (2.2143)	Prec@1 55.469 (44.307)	Prec@5 81.250 (74.975)
Epoch: [39][5870/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.2284 (2.2143)	Prec@1 46.094 (44.309)	Prec@5 74.219 (74.976)
Epoch: [39][5880/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.2151 (2.2142)	Prec@1 46.094 (44.311)	Prec@5 73.438 (74.978)
Epoch: [39][5890/14090]	Time 0.726 (0.766)	Data 0.001 (0.002)	Loss 2.1763 (2.2141)	Prec@1 39.062 (44.311)	Prec@5 76.562 (74.980)
Epoch: [39][5900/14090]	Time 0.774 (0.766)	Data 0.001 (0.002)	Loss 2.6787 (2.2142)	Prec@1 35.938 (44.309)	Prec@5 66.406 (74.981)
Epoch: [39][5910/14090]	Time 0.767 (0.766)	Data 0.001 (0.002)	Loss 2.4317 (2.2144)	Prec@1 35.156 (44.305)	Prec@5 74.219 (74.976)
Epoch: [39][5920/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 2.2165 (2.2143)	Prec@1 44.531 (44.305)	Prec@5 74.219 (74.978)
Epoch: [39][5930/14090]	Time 0.821 (0.766)	Data 0.001 (0.002)	Loss 2.1284 (2.2144)	Prec@1 46.094 (44.303)	Prec@5 79.688 (74.977)
Epoch: [39][5940/14090]	Time 0.773 (0.766)	Data 0.001 (0.002)	Loss 2.1799 (2.2144)	Prec@1 45.312 (44.307)	Prec@5 68.750 (74.976)
Epoch: [39][5950/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.4032 (2.2144)	Prec@1 42.188 (44.306)	Prec@5 70.312 (74.972)
Epoch: [39][5960/14090]	Time 0.726 (0.766)	Data 0.001 (0.002)	Loss 2.1711 (2.2144)	Prec@1 42.969 (44.307)	Prec@5 73.438 (74.974)
Epoch: [39][5970/14090]	Time 0.783 (0.766)	Data 0.001 (0.002)	Loss 2.1676 (2.2144)	Prec@1 42.969 (44.307)	Prec@5 75.000 (74.972)
Epoch: [39][5980/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 2.3768 (2.2146)	Prec@1 41.406 (44.305)	Prec@5 71.875 (74.968)
Epoch: [39][5990/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 2.0244 (2.2146)	Prec@1 47.656 (44.303)	Prec@5 78.906 (74.969)
Epoch: [39][6000/14090]	Time 0.867 (0.766)	Data 0.001 (0.002)	Loss 2.3164 (2.2147)	Prec@1 41.406 (44.301)	Prec@5 68.750 (74.968)
Epoch: [39][6010/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.2914 (2.2147)	Prec@1 46.094 (44.301)	Prec@5 70.312 (74.967)
Epoch: [39][6020/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.1904 (2.2147)	Prec@1 48.438 (44.301)	Prec@5 74.219 (74.967)
Epoch: [39][6030/14090]	Time 0.769 (0.766)	Data 0.001 (0.002)	Loss 2.6310 (2.2147)	Prec@1 33.594 (44.302)	Prec@5 64.062 (74.966)
Epoch: [39][6040/14090]	Time 0.754 (0.766)	Data 0.002 (0.002)	Loss 2.2470 (2.2148)	Prec@1 48.438 (44.302)	Prec@5 72.656 (74.963)
Epoch: [39][6050/14090]	Time 0.761 (0.766)	Data 0.001 (0.002)	Loss 2.4489 (2.2148)	Prec@1 40.625 (44.306)	Prec@5 75.781 (74.963)
Epoch: [39][6060/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 1.9959 (2.2148)	Prec@1 48.438 (44.306)	Prec@5 77.344 (74.962)
Epoch: [39][6070/14090]	Time 0.869 (0.766)	Data 0.001 (0.002)	Loss 2.2999 (2.2150)	Prec@1 46.094 (44.304)	Prec@5 69.531 (74.958)
Epoch: [39][6080/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 2.4075 (2.2151)	Prec@1 40.625 (44.303)	Prec@5 68.750 (74.956)
Epoch: [39][6090/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 2.0555 (2.2150)	Prec@1 47.656 (44.305)	Prec@5 77.344 (74.957)
Epoch: [39][6100/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.2433 (2.2150)	Prec@1 44.531 (44.304)	Prec@5 74.219 (74.958)
Epoch: [39][6110/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 2.4399 (2.2151)	Prec@1 40.625 (44.302)	Prec@5 69.531 (74.957)
Epoch: [39][6120/14090]	Time 0.763 (0.766)	Data 0.001 (0.002)	Loss 1.9531 (2.2150)	Prec@1 50.000 (44.307)	Prec@5 79.688 (74.958)
Epoch: [39][6130/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 2.3792 (2.2151)	Prec@1 40.625 (44.306)	Prec@5 71.094 (74.954)
Epoch: [39][6140/14090]	Time 0.880 (0.766)	Data 0.001 (0.002)	Loss 2.3820 (2.2151)	Prec@1 42.188 (44.309)	Prec@5 70.312 (74.953)
Epoch: [39][6150/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 1.9570 (2.2152)	Prec@1 53.906 (44.308)	Prec@5 79.688 (74.952)
Epoch: [39][6160/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 2.0122 (2.2153)	Prec@1 44.531 (44.305)	Prec@5 77.344 (74.950)
Epoch: [39][6170/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.3709 (2.2153)	Prec@1 42.969 (44.305)	Prec@5 70.312 (74.949)
Epoch: [39][6180/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.2694 (2.2154)	Prec@1 42.969 (44.303)	Prec@5 74.219 (74.946)
Epoch: [39][6190/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.1457 (2.2154)	Prec@1 51.562 (44.300)	Prec@5 73.438 (74.948)
Epoch: [39][6200/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.2804 (2.2154)	Prec@1 41.406 (44.299)	Prec@5 71.875 (74.947)
Epoch: [39][6210/14090]	Time 0.828 (0.766)	Data 0.001 (0.002)	Loss 2.1648 (2.2154)	Prec@1 48.438 (44.299)	Prec@5 73.438 (74.944)
Epoch: [39][6220/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 2.0901 (2.2155)	Prec@1 46.094 (44.296)	Prec@5 78.125 (74.942)
Epoch: [39][6230/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.4744 (2.2155)	Prec@1 40.625 (44.297)	Prec@5 69.531 (74.942)
Epoch: [39][6240/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.2622 (2.2156)	Prec@1 39.062 (44.294)	Prec@5 73.438 (74.940)
Epoch: [39][6250/14090]	Time 0.770 (0.766)	Data 0.001 (0.002)	Loss 2.3223 (2.2158)	Prec@1 41.406 (44.291)	Prec@5 72.656 (74.938)
Epoch: [39][6260/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 2.3346 (2.2159)	Prec@1 42.188 (44.286)	Prec@5 75.000 (74.938)
Epoch: [39][6270/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 2.1355 (2.2158)	Prec@1 46.875 (44.290)	Prec@5 75.781 (74.940)
Epoch: [39][6280/14090]	Time 0.839 (0.766)	Data 0.001 (0.002)	Loss 2.6047 (2.2159)	Prec@1 34.375 (44.287)	Prec@5 69.531 (74.939)
Epoch: [39][6290/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 2.1817 (2.2159)	Prec@1 42.969 (44.287)	Prec@5 78.906 (74.939)
Epoch: [39][6300/14090]	Time 0.786 (0.766)	Data 0.001 (0.002)	Loss 2.1637 (2.2160)	Prec@1 46.875 (44.286)	Prec@5 76.562 (74.937)
Epoch: [39][6310/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 1.9211 (2.2161)	Prec@1 51.562 (44.287)	Prec@5 76.562 (74.936)
Epoch: [39][6320/14090]	Time 0.774 (0.766)	Data 0.001 (0.002)	Loss 1.9978 (2.2161)	Prec@1 43.750 (44.288)	Prec@5 79.688 (74.938)
Epoch: [39][6330/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.1100 (2.2161)	Prec@1 41.406 (44.286)	Prec@5 77.344 (74.937)
Epoch: [39][6340/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.0406 (2.2161)	Prec@1 47.656 (44.287)	Prec@5 77.344 (74.935)
Epoch: [39][6350/14090]	Time 0.881 (0.766)	Data 0.001 (0.002)	Loss 2.5519 (2.2161)	Prec@1 35.938 (44.284)	Prec@5 71.875 (74.935)
Epoch: [39][6360/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 2.1933 (2.2160)	Prec@1 46.875 (44.288)	Prec@5 72.656 (74.937)
Epoch: [39][6370/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.1021 (2.2160)	Prec@1 42.188 (44.289)	Prec@5 78.125 (74.935)
Epoch: [39][6380/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 2.3141 (2.2161)	Prec@1 40.625 (44.288)	Prec@5 78.125 (74.936)
Epoch: [39][6390/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.3547 (2.2161)	Prec@1 42.188 (44.289)	Prec@5 70.312 (74.935)
Epoch: [39][6400/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.1165 (2.2160)	Prec@1 42.969 (44.290)	Prec@5 80.469 (74.936)
Epoch: [39][6410/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 1.9814 (2.2160)	Prec@1 50.781 (44.290)	Prec@5 75.000 (74.936)
Epoch: [39][6420/14090]	Time 0.833 (0.766)	Data 0.001 (0.002)	Loss 2.3508 (2.2162)	Prec@1 37.500 (44.285)	Prec@5 75.000 (74.933)
Epoch: [39][6430/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 2.3377 (2.2161)	Prec@1 39.844 (44.285)	Prec@5 73.438 (74.935)
Epoch: [39][6440/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 2.2422 (2.2161)	Prec@1 46.875 (44.289)	Prec@5 71.875 (74.938)
Epoch: [39][6450/14090]	Time 0.766 (0.766)	Data 0.001 (0.002)	Loss 2.1448 (2.2161)	Prec@1 39.844 (44.287)	Prec@5 77.344 (74.938)
Epoch: [39][6460/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.3069 (2.2159)	Prec@1 42.188 (44.289)	Prec@5 70.312 (74.941)
Epoch: [39][6470/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 1.7933 (2.2159)	Prec@1 50.781 (44.291)	Prec@5 85.156 (74.941)
Epoch: [39][6480/14090]	Time 0.765 (0.766)	Data 0.001 (0.002)	Loss 2.1220 (2.2158)	Prec@1 42.188 (44.289)	Prec@5 82.031 (74.943)
Epoch: [39][6490/14090]	Time 0.863 (0.766)	Data 0.001 (0.002)	Loss 2.3072 (2.2160)	Prec@1 43.750 (44.284)	Prec@5 78.906 (74.942)
Epoch: [39][6500/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 2.1439 (2.2158)	Prec@1 43.750 (44.287)	Prec@5 77.344 (74.945)
Epoch: [39][6510/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.3387 (2.2158)	Prec@1 43.750 (44.286)	Prec@5 71.094 (74.945)
Epoch: [39][6520/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.2425 (2.2158)	Prec@1 44.531 (44.286)	Prec@5 77.344 (74.947)
Epoch: [39][6530/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.3360 (2.2158)	Prec@1 41.406 (44.287)	Prec@5 70.312 (74.943)
Epoch: [39][6540/14090]	Time 0.778 (0.766)	Data 0.001 (0.002)	Loss 2.1021 (2.2156)	Prec@1 50.000 (44.292)	Prec@5 79.688 (74.947)
Epoch: [39][6550/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.0705 (2.2155)	Prec@1 45.312 (44.293)	Prec@5 76.562 (74.947)
Epoch: [39][6560/14090]	Time 0.829 (0.766)	Data 0.001 (0.002)	Loss 2.1995 (2.2154)	Prec@1 45.312 (44.294)	Prec@5 74.219 (74.946)
Epoch: [39][6570/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 2.0959 (2.2154)	Prec@1 49.219 (44.296)	Prec@5 82.031 (74.947)
Epoch: [39][6580/14090]	Time 0.770 (0.766)	Data 0.001 (0.002)	Loss 2.2249 (2.2155)	Prec@1 39.062 (44.293)	Prec@5 78.125 (74.945)
Epoch: [39][6590/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 2.2726 (2.2155)	Prec@1 43.750 (44.293)	Prec@5 76.562 (74.946)
Epoch: [39][6600/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.1834 (2.2155)	Prec@1 51.562 (44.292)	Prec@5 76.562 (74.946)
Epoch: [39][6610/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 2.3243 (2.2154)	Prec@1 42.188 (44.292)	Prec@5 76.562 (74.946)
Epoch: [39][6620/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 2.1128 (2.2154)	Prec@1 46.875 (44.292)	Prec@5 80.469 (74.947)
Epoch: [39][6630/14090]	Time 0.824 (0.766)	Data 0.001 (0.002)	Loss 2.4222 (2.2156)	Prec@1 42.188 (44.289)	Prec@5 74.219 (74.945)
Epoch: [39][6640/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.3580 (2.2156)	Prec@1 43.750 (44.288)	Prec@5 68.750 (74.944)
Epoch: [39][6650/14090]	Time 0.779 (0.766)	Data 0.001 (0.002)	Loss 2.3970 (2.2158)	Prec@1 35.938 (44.282)	Prec@5 74.219 (74.943)
Epoch: [39][6660/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 2.2151 (2.2157)	Prec@1 43.750 (44.284)	Prec@5 78.906 (74.943)
Epoch: [39][6670/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 2.2446 (2.2157)	Prec@1 43.750 (44.286)	Prec@5 80.469 (74.946)
Epoch: [39][6680/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 2.2879 (2.2157)	Prec@1 41.406 (44.288)	Prec@5 71.094 (74.947)
Epoch: [39][6690/14090]	Time 0.765 (0.766)	Data 0.001 (0.002)	Loss 2.1882 (2.2157)	Prec@1 44.531 (44.289)	Prec@5 78.906 (74.948)
Epoch: [39][6700/14090]	Time 0.851 (0.766)	Data 0.001 (0.002)	Loss 2.0693 (2.2156)	Prec@1 48.438 (44.289)	Prec@5 77.344 (74.948)
Epoch: [39][6710/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 2.0675 (2.2156)	Prec@1 45.312 (44.290)	Prec@5 82.812 (74.949)
Epoch: [39][6720/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.1655 (2.2157)	Prec@1 43.750 (44.291)	Prec@5 75.000 (74.948)
Epoch: [39][6730/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.0554 (2.2156)	Prec@1 48.438 (44.294)	Prec@5 72.656 (74.948)
Epoch: [39][6740/14090]	Time 0.726 (0.766)	Data 0.001 (0.002)	Loss 1.9686 (2.2154)	Prec@1 51.562 (44.295)	Prec@5 77.344 (74.950)
Epoch: [39][6750/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.2987 (2.2154)	Prec@1 47.656 (44.296)	Prec@5 75.000 (74.953)
Epoch: [39][6760/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 1.9500 (2.2154)	Prec@1 53.125 (44.296)	Prec@5 78.125 (74.953)
Epoch: [39][6770/14090]	Time 0.857 (0.766)	Data 0.001 (0.002)	Loss 2.2205 (2.2154)	Prec@1 40.625 (44.293)	Prec@5 74.219 (74.954)
Epoch: [39][6780/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.1249 (2.2153)	Prec@1 44.531 (44.294)	Prec@5 73.438 (74.955)
Epoch: [39][6790/14090]	Time 0.788 (0.766)	Data 0.001 (0.002)	Loss 2.1670 (2.2152)	Prec@1 46.094 (44.297)	Prec@5 72.656 (74.956)
Epoch: [39][6800/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 2.5502 (2.2152)	Prec@1 40.625 (44.296)	Prec@5 70.312 (74.955)
Epoch: [39][6810/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.0694 (2.2152)	Prec@1 42.188 (44.300)	Prec@5 78.125 (74.958)
Epoch: [39][6820/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.3314 (2.2154)	Prec@1 42.188 (44.298)	Prec@5 69.531 (74.953)
Epoch: [39][6830/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.4671 (2.2154)	Prec@1 36.719 (44.295)	Prec@5 69.531 (74.953)
Epoch: [39][6840/14090]	Time 0.863 (0.766)	Data 0.001 (0.002)	Loss 2.1014 (2.2154)	Prec@1 47.656 (44.295)	Prec@5 78.125 (74.952)
Epoch: [39][6850/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 2.0421 (2.2153)	Prec@1 46.094 (44.294)	Prec@5 76.562 (74.952)
Epoch: [39][6860/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 2.1572 (2.2154)	Prec@1 45.312 (44.292)	Prec@5 74.219 (74.952)
Epoch: [39][6870/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 2.0414 (2.2154)	Prec@1 46.875 (44.292)	Prec@5 77.344 (74.954)
Epoch: [39][6880/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.7187 (2.2155)	Prec@1 32.812 (44.290)	Prec@5 69.531 (74.954)
Epoch: [39][6890/14090]	Time 0.780 (0.766)	Data 0.001 (0.002)	Loss 2.0974 (2.2153)	Prec@1 50.781 (44.295)	Prec@5 80.469 (74.956)
Epoch: [39][6900/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 2.5395 (2.2153)	Prec@1 42.188 (44.296)	Prec@5 71.094 (74.957)
Epoch: [39][6910/14090]	Time 0.879 (0.766)	Data 0.001 (0.001)	Loss 1.8889 (2.2152)	Prec@1 50.000 (44.294)	Prec@5 82.031 (74.957)
Epoch: [39][6920/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.2408 (2.2153)	Prec@1 48.438 (44.294)	Prec@5 73.438 (74.957)
Epoch: [39][6930/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.2638 (2.2153)	Prec@1 43.750 (44.294)	Prec@5 72.656 (74.956)
Epoch: [39][6940/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.5007 (2.2153)	Prec@1 39.062 (44.293)	Prec@5 65.625 (74.955)
Epoch: [39][6950/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.0168 (2.2153)	Prec@1 42.188 (44.292)	Prec@5 81.250 (74.955)
Epoch: [39][6960/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.3396 (2.2153)	Prec@1 39.844 (44.291)	Prec@5 77.344 (74.956)
Epoch: [39][6970/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.1817 (2.2153)	Prec@1 43.750 (44.290)	Prec@5 76.562 (74.957)
Epoch: [39][6980/14090]	Time 0.873 (0.766)	Data 0.001 (0.001)	Loss 2.1528 (2.2153)	Prec@1 47.656 (44.292)	Prec@5 78.125 (74.957)
Epoch: [39][6990/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 1.9735 (2.2153)	Prec@1 48.438 (44.289)	Prec@5 79.688 (74.957)
Epoch: [39][7000/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.1207 (2.2153)	Prec@1 46.094 (44.289)	Prec@5 75.781 (74.958)
Epoch: [39][7010/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.0930 (2.2152)	Prec@1 50.781 (44.288)	Prec@5 78.906 (74.961)
Epoch: [39][7020/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.4131 (2.2153)	Prec@1 39.062 (44.285)	Prec@5 66.406 (74.957)
Epoch: [39][7030/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.2479 (2.2154)	Prec@1 39.844 (44.283)	Prec@5 74.219 (74.955)
Epoch: [39][7040/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.2377 (2.2155)	Prec@1 45.312 (44.280)	Prec@5 73.438 (74.955)
Epoch: [39][7050/14090]	Time 0.865 (0.766)	Data 0.001 (0.001)	Loss 2.0222 (2.2156)	Prec@1 48.438 (44.279)	Prec@5 78.125 (74.953)
Epoch: [39][7060/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.1707 (2.2155)	Prec@1 46.875 (44.279)	Prec@5 75.781 (74.955)
Epoch: [39][7070/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.3936 (2.2156)	Prec@1 40.625 (44.277)	Prec@5 71.875 (74.955)
Epoch: [39][7080/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.0254 (2.2156)	Prec@1 45.312 (44.275)	Prec@5 78.906 (74.954)
Epoch: [39][7090/14090]	Time 0.771 (0.766)	Data 0.001 (0.001)	Loss 2.2321 (2.2157)	Prec@1 46.094 (44.271)	Prec@5 75.781 (74.953)
Epoch: [39][7100/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.2240 (2.2157)	Prec@1 42.188 (44.273)	Prec@5 75.000 (74.953)
Epoch: [39][7110/14090]	Time 0.724 (0.766)	Data 0.001 (0.001)	Loss 2.3261 (2.2157)	Prec@1 44.531 (44.272)	Prec@5 73.438 (74.954)
Epoch: [39][7120/14090]	Time 0.836 (0.766)	Data 0.001 (0.001)	Loss 2.2260 (2.2158)	Prec@1 47.656 (44.271)	Prec@5 75.000 (74.953)
Epoch: [39][7130/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.0847 (2.2157)	Prec@1 42.188 (44.273)	Prec@5 78.125 (74.955)
Epoch: [39][7140/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.3610 (2.2157)	Prec@1 40.625 (44.273)	Prec@5 73.438 (74.956)
Epoch: [39][7150/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.2561 (2.2157)	Prec@1 38.281 (44.273)	Prec@5 75.781 (74.955)
Epoch: [39][7160/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 1.8566 (2.2156)	Prec@1 53.125 (44.276)	Prec@5 80.469 (74.957)
Epoch: [39][7170/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.4077 (2.2156)	Prec@1 33.594 (44.276)	Prec@5 70.312 (74.959)
Epoch: [39][7180/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.3677 (2.2157)	Prec@1 42.188 (44.276)	Prec@5 71.875 (74.958)
Epoch: [39][7190/14090]	Time 0.867 (0.766)	Data 0.001 (0.001)	Loss 2.0984 (2.2155)	Prec@1 52.344 (44.280)	Prec@5 75.781 (74.960)
Epoch: [39][7200/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.3172 (2.2156)	Prec@1 38.281 (44.279)	Prec@5 71.094 (74.959)
Epoch: [39][7210/14090]	Time 0.773 (0.766)	Data 0.001 (0.001)	Loss 2.1473 (2.2155)	Prec@1 42.188 (44.279)	Prec@5 75.781 (74.958)
Epoch: [39][7220/14090]	Time 0.771 (0.766)	Data 0.001 (0.001)	Loss 2.3390 (2.2156)	Prec@1 39.844 (44.275)	Prec@5 74.219 (74.956)
Epoch: [39][7230/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.0997 (2.2157)	Prec@1 46.094 (44.271)	Prec@5 75.000 (74.955)
Epoch: [39][7240/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.2162 (2.2157)	Prec@1 46.094 (44.271)	Prec@5 75.781 (74.953)
Epoch: [39][7250/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.1527 (2.2157)	Prec@1 45.312 (44.272)	Prec@5 81.250 (74.955)
Epoch: [39][7260/14090]	Time 0.829 (0.766)	Data 0.001 (0.001)	Loss 2.1367 (2.2156)	Prec@1 47.656 (44.274)	Prec@5 74.219 (74.955)
Epoch: [39][7270/14090]	Time 0.776 (0.766)	Data 0.001 (0.001)	Loss 2.5059 (2.2157)	Prec@1 40.625 (44.275)	Prec@5 69.531 (74.956)
Epoch: [39][7280/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.1462 (2.2157)	Prec@1 47.656 (44.275)	Prec@5 78.125 (74.957)
Epoch: [39][7290/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.1548 (2.2156)	Prec@1 46.875 (44.277)	Prec@5 73.438 (74.958)
Epoch: [39][7300/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.2206 (2.2155)	Prec@1 46.875 (44.281)	Prec@5 71.094 (74.958)
Epoch: [39][7310/14090]	Time 0.769 (0.766)	Data 0.001 (0.001)	Loss 2.2080 (2.2155)	Prec@1 46.875 (44.283)	Prec@5 71.094 (74.958)
Epoch: [39][7320/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.4145 (2.2156)	Prec@1 35.938 (44.281)	Prec@5 69.531 (74.957)
Epoch: [39][7330/14090]	Time 0.890 (0.766)	Data 0.001 (0.001)	Loss 2.4552 (2.2156)	Prec@1 39.844 (44.280)	Prec@5 68.750 (74.958)
Epoch: [39][7340/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.3042 (2.2157)	Prec@1 41.406 (44.279)	Prec@5 78.125 (74.957)
Epoch: [39][7350/14090]	Time 0.770 (0.765)	Data 0.001 (0.001)	Loss 2.2625 (2.2158)	Prec@1 47.656 (44.275)	Prec@5 74.219 (74.955)
Epoch: [39][7360/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.3514 (2.2160)	Prec@1 39.062 (44.271)	Prec@5 71.875 (74.951)
Epoch: [39][7370/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.4377 (2.2160)	Prec@1 39.844 (44.273)	Prec@5 74.219 (74.953)
Epoch: [39][7380/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.3521 (2.2160)	Prec@1 40.625 (44.274)	Prec@5 66.406 (74.952)
Epoch: [39][7390/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 1.9650 (2.2159)	Prec@1 51.562 (44.278)	Prec@5 77.344 (74.952)
Epoch: [39][7400/14090]	Time 0.859 (0.766)	Data 0.001 (0.001)	Loss 2.0900 (2.2159)	Prec@1 51.562 (44.281)	Prec@5 82.031 (74.951)
Epoch: [39][7410/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 1.9839 (2.2160)	Prec@1 50.781 (44.282)	Prec@5 80.469 (74.950)
Epoch: [39][7420/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.3275 (2.2161)	Prec@1 39.062 (44.279)	Prec@5 75.781 (74.949)
Epoch: [39][7430/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.4864 (2.2161)	Prec@1 42.969 (44.280)	Prec@5 71.875 (74.949)
Epoch: [39][7440/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.0360 (2.2160)	Prec@1 46.094 (44.279)	Prec@5 78.906 (74.949)
Epoch: [39][7450/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.3984 (2.2161)	Prec@1 41.406 (44.276)	Prec@5 71.094 (74.947)
Epoch: [39][7460/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.2271 (2.2161)	Prec@1 46.875 (44.276)	Prec@5 75.000 (74.948)
Epoch: [39][7470/14090]	Time 0.869 (0.766)	Data 0.001 (0.001)	Loss 2.0321 (2.2162)	Prec@1 49.219 (44.278)	Prec@5 78.906 (74.945)
Epoch: [39][7480/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 1.9679 (2.2161)	Prec@1 47.656 (44.275)	Prec@5 79.688 (74.947)
Epoch: [39][7490/14090]	Time 0.722 (0.766)	Data 0.001 (0.001)	Loss 2.1873 (2.2161)	Prec@1 41.406 (44.275)	Prec@5 75.781 (74.947)
Epoch: [39][7500/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.1725 (2.2163)	Prec@1 50.000 (44.271)	Prec@5 77.344 (74.943)
Epoch: [39][7510/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.0126 (2.2162)	Prec@1 48.438 (44.273)	Prec@5 80.469 (74.946)
Epoch: [39][7520/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.2107 (2.2163)	Prec@1 45.312 (44.272)	Prec@5 75.000 (74.944)
Epoch: [39][7530/14090]	Time 0.802 (0.766)	Data 0.001 (0.001)	Loss 2.4453 (2.2164)	Prec@1 38.281 (44.270)	Prec@5 67.969 (74.943)
Epoch: [39][7540/14090]	Time 0.831 (0.766)	Data 0.001 (0.001)	Loss 2.4193 (2.2164)	Prec@1 40.625 (44.270)	Prec@5 70.312 (74.941)
Epoch: [39][7550/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.2877 (2.2164)	Prec@1 46.094 (44.271)	Prec@5 75.000 (74.943)
Epoch: [39][7560/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.3102 (2.2165)	Prec@1 43.750 (44.269)	Prec@5 70.312 (74.939)
Epoch: [39][7570/14090]	Time 0.773 (0.766)	Data 0.001 (0.001)	Loss 2.4501 (2.2164)	Prec@1 41.406 (44.271)	Prec@5 75.781 (74.940)
Epoch: [39][7580/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 2.2292 (2.2165)	Prec@1 40.625 (44.269)	Prec@5 72.656 (74.941)
Epoch: [39][7590/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.5241 (2.2165)	Prec@1 38.281 (44.270)	Prec@5 70.312 (74.941)
Epoch: [39][7600/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.1052 (2.2165)	Prec@1 50.781 (44.269)	Prec@5 75.781 (74.940)
Epoch: [39][7610/14090]	Time 0.868 (0.766)	Data 0.001 (0.001)	Loss 2.0734 (2.2165)	Prec@1 49.219 (44.271)	Prec@5 76.562 (74.942)
Epoch: [39][7620/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.2615 (2.2165)	Prec@1 43.750 (44.269)	Prec@5 71.094 (74.941)
Epoch: [39][7630/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.4678 (2.2165)	Prec@1 39.062 (44.268)	Prec@5 71.094 (74.940)
Epoch: [39][7640/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.0958 (2.2165)	Prec@1 49.219 (44.267)	Prec@5 75.781 (74.940)
Epoch: [39][7650/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.1518 (2.2165)	Prec@1 42.188 (44.267)	Prec@5 76.562 (74.942)
Epoch: [39][7660/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.2099 (2.2164)	Prec@1 44.531 (44.266)	Prec@5 75.781 (74.943)
Epoch: [39][7670/14090]	Time 0.771 (0.766)	Data 0.001 (0.001)	Loss 2.4689 (2.2164)	Prec@1 37.500 (44.267)	Prec@5 68.750 (74.942)
Epoch: [39][7680/14090]	Time 0.992 (0.766)	Data 0.001 (0.001)	Loss 2.4020 (2.2165)	Prec@1 37.500 (44.264)	Prec@5 73.438 (74.942)
Epoch: [39][7690/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.0653 (2.2165)	Prec@1 49.219 (44.264)	Prec@5 73.438 (74.940)
Epoch: [39][7700/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.2360 (2.2166)	Prec@1 47.656 (44.265)	Prec@5 73.438 (74.939)
Epoch: [39][7710/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.5163 (2.2167)	Prec@1 41.406 (44.263)	Prec@5 71.875 (74.938)
Epoch: [39][7720/14090]	Time 0.723 (0.766)	Data 0.001 (0.001)	Loss 2.1225 (2.2166)	Prec@1 48.438 (44.265)	Prec@5 76.562 (74.939)
Epoch: [39][7730/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 2.1435 (2.2166)	Prec@1 45.312 (44.266)	Prec@5 76.562 (74.940)
Epoch: [39][7740/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 2.3283 (2.2167)	Prec@1 41.406 (44.263)	Prec@5 75.000 (74.937)
Epoch: [39][7750/14090]	Time 0.843 (0.766)	Data 0.001 (0.001)	Loss 2.3327 (2.2168)	Prec@1 46.875 (44.261)	Prec@5 70.312 (74.937)
Epoch: [39][7760/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.4297 (2.2168)	Prec@1 36.719 (44.258)	Prec@5 71.094 (74.934)
Epoch: [39][7770/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.3773 (2.2169)	Prec@1 37.500 (44.257)	Prec@5 71.094 (74.933)
Epoch: [39][7780/14090]	Time 0.765 (0.766)	Data 0.001 (0.001)	Loss 2.0787 (2.2168)	Prec@1 44.531 (44.258)	Prec@5 79.688 (74.934)
Epoch: [39][7790/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.0057 (2.2168)	Prec@1 48.438 (44.258)	Prec@5 78.906 (74.934)
Epoch: [39][7800/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.1255 (2.2168)	Prec@1 41.406 (44.257)	Prec@5 78.125 (74.933)
Epoch: [39][7810/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.4503 (2.2168)	Prec@1 34.375 (44.256)	Prec@5 72.656 (74.931)
Epoch: [39][7820/14090]	Time 0.915 (0.766)	Data 0.001 (0.001)	Loss 2.3089 (2.2168)	Prec@1 44.531 (44.257)	Prec@5 74.219 (74.929)
Epoch: [39][7830/14090]	Time 0.769 (0.766)	Data 0.001 (0.001)	Loss 2.1629 (2.2169)	Prec@1 42.969 (44.256)	Prec@5 72.656 (74.927)
Epoch: [39][7840/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 2.3174 (2.2169)	Prec@1 39.062 (44.255)	Prec@5 71.094 (74.926)
Epoch: [39][7850/14090]	Time 0.724 (0.766)	Data 0.001 (0.001)	Loss 2.4557 (2.2169)	Prec@1 38.281 (44.256)	Prec@5 67.969 (74.925)
Epoch: [39][7860/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 1.9002 (2.2168)	Prec@1 50.781 (44.258)	Prec@5 78.906 (74.926)
Epoch: [39][7870/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.3016 (2.2167)	Prec@1 46.875 (44.258)	Prec@5 74.219 (74.928)
Epoch: [39][7880/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.0951 (2.2167)	Prec@1 41.406 (44.255)	Prec@5 79.688 (74.926)
Epoch: [39][7890/14090]	Time 0.831 (0.766)	Data 0.001 (0.001)	Loss 2.0572 (2.2167)	Prec@1 53.906 (44.260)	Prec@5 78.125 (74.928)
Epoch: [39][7900/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.3250 (2.2167)	Prec@1 41.406 (44.261)	Prec@5 75.000 (74.927)
Epoch: [39][7910/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 2.2282 (2.2166)	Prec@1 39.844 (44.260)	Prec@5 74.219 (74.929)
Epoch: [39][7920/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 2.4280 (2.2168)	Prec@1 39.844 (44.257)	Prec@5 75.000 (74.926)
Epoch: [39][7930/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.1476 (2.2167)	Prec@1 43.750 (44.257)	Prec@5 75.781 (74.928)
Epoch: [39][7940/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 1.9661 (2.2167)	Prec@1 46.875 (44.258)	Prec@5 78.906 (74.928)
Epoch: [39][7950/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.4447 (2.2168)	Prec@1 39.062 (44.255)	Prec@5 67.969 (74.926)
Epoch: [39][7960/14090]	Time 0.849 (0.766)	Data 0.001 (0.001)	Loss 2.2669 (2.2168)	Prec@1 41.406 (44.254)	Prec@5 68.750 (74.925)
Epoch: [39][7970/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 1.8837 (2.2168)	Prec@1 49.219 (44.256)	Prec@5 80.469 (74.925)
Epoch: [39][7980/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.4411 (2.2167)	Prec@1 39.844 (44.258)	Prec@5 67.969 (74.925)
Epoch: [39][7990/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.3284 (2.2167)	Prec@1 39.062 (44.257)	Prec@5 71.875 (74.924)
Epoch: [39][8000/14090]	Time 0.764 (0.766)	Data 0.002 (0.001)	Loss 2.2896 (2.2168)	Prec@1 42.969 (44.258)	Prec@5 71.875 (74.924)
Epoch: [39][8010/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.1708 (2.2167)	Prec@1 49.219 (44.259)	Prec@5 75.781 (74.924)
Epoch: [39][8020/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.3096 (2.2168)	Prec@1 46.094 (44.257)	Prec@5 71.094 (74.923)
Epoch: [39][8030/14090]	Time 0.861 (0.766)	Data 0.001 (0.001)	Loss 2.0630 (2.2168)	Prec@1 46.875 (44.257)	Prec@5 76.562 (74.922)
Epoch: [39][8040/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.2336 (2.2168)	Prec@1 44.531 (44.258)	Prec@5 75.000 (74.923)
Epoch: [39][8050/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.0488 (2.2168)	Prec@1 53.125 (44.259)	Prec@5 73.438 (74.925)
Epoch: [39][8060/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.1708 (2.2168)	Prec@1 51.562 (44.260)	Prec@5 75.781 (74.925)
Epoch: [39][8070/14090]	Time 0.775 (0.766)	Data 0.001 (0.001)	Loss 2.1801 (2.2167)	Prec@1 46.875 (44.262)	Prec@5 74.219 (74.928)
Epoch: [39][8080/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.3279 (2.2167)	Prec@1 45.312 (44.260)	Prec@5 73.438 (74.929)
Epoch: [39][8090/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.3077 (2.2168)	Prec@1 42.188 (44.260)	Prec@5 71.875 (74.928)
Epoch: [39][8100/14090]	Time 0.873 (0.766)	Data 0.001 (0.001)	Loss 2.2863 (2.2168)	Prec@1 44.531 (44.260)	Prec@5 75.781 (74.928)
Epoch: [39][8110/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.2134 (2.2167)	Prec@1 45.312 (44.261)	Prec@5 77.344 (74.928)
Epoch: [39][8120/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.0116 (2.2166)	Prec@1 53.125 (44.265)	Prec@5 76.562 (74.931)
Epoch: [39][8130/14090]	Time 0.777 (0.766)	Data 0.001 (0.001)	Loss 2.3624 (2.2167)	Prec@1 42.188 (44.264)	Prec@5 71.094 (74.930)
Epoch: [39][8140/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.3625 (2.2167)	Prec@1 34.375 (44.263)	Prec@5 75.000 (74.931)
Epoch: [39][8150/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.3061 (2.2167)	Prec@1 38.281 (44.263)	Prec@5 77.344 (74.932)
Epoch: [39][8160/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.2319 (2.2167)	Prec@1 44.531 (44.262)	Prec@5 74.219 (74.932)
Epoch: [39][8170/14090]	Time 0.839 (0.766)	Data 0.001 (0.001)	Loss 2.2540 (2.2168)	Prec@1 47.656 (44.260)	Prec@5 77.344 (74.931)
Epoch: [39][8180/14090]	Time 0.726 (0.766)	Data 0.002 (0.001)	Loss 2.0405 (2.2168)	Prec@1 49.219 (44.257)	Prec@5 78.125 (74.932)
Epoch: [39][8190/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.2854 (2.2168)	Prec@1 42.969 (44.257)	Prec@5 67.969 (74.930)
Epoch: [39][8200/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.3337 (2.2168)	Prec@1 44.531 (44.258)	Prec@5 73.438 (74.930)
Epoch: [39][8210/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.2644 (2.2168)	Prec@1 40.625 (44.258)	Prec@5 72.656 (74.931)
Epoch: [39][8220/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.1678 (2.2168)	Prec@1 46.875 (44.258)	Prec@5 76.562 (74.931)
Epoch: [39][8230/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.3082 (2.2169)	Prec@1 39.062 (44.255)	Prec@5 75.000 (74.930)
Epoch: [39][8240/14090]	Time 0.849 (0.766)	Data 0.001 (0.001)	Loss 2.1972 (2.2170)	Prec@1 41.406 (44.256)	Prec@5 75.000 (74.929)
Epoch: [39][8250/14090]	Time 0.773 (0.766)	Data 0.001 (0.001)	Loss 2.4606 (2.2170)	Prec@1 44.531 (44.255)	Prec@5 67.969 (74.929)
Epoch: [39][8260/14090]	Time 0.767 (0.766)	Data 0.001 (0.001)	Loss 2.2886 (2.2171)	Prec@1 42.969 (44.253)	Prec@5 72.656 (74.927)
Epoch: [39][8270/14090]	Time 0.775 (0.766)	Data 0.001 (0.001)	Loss 2.2811 (2.2172)	Prec@1 41.406 (44.251)	Prec@5 73.438 (74.924)
Epoch: [39][8280/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.1803 (2.2172)	Prec@1 47.656 (44.254)	Prec@5 70.312 (74.925)
Epoch: [39][8290/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 1.9873 (2.2170)	Prec@1 47.656 (44.257)	Prec@5 77.344 (74.926)
Epoch: [39][8300/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.0755 (2.2172)	Prec@1 49.219 (44.256)	Prec@5 77.344 (74.923)
Epoch: [39][8310/14090]	Time 0.836 (0.766)	Data 0.001 (0.001)	Loss 2.1077 (2.2171)	Prec@1 46.094 (44.258)	Prec@5 77.344 (74.923)
Epoch: [39][8320/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 2.2712 (2.2172)	Prec@1 39.844 (44.255)	Prec@5 75.000 (74.921)
Epoch: [39][8330/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.1125 (2.2172)	Prec@1 49.219 (44.255)	Prec@5 78.125 (74.921)
Epoch: [39][8340/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.1905 (2.2171)	Prec@1 41.406 (44.256)	Prec@5 75.000 (74.922)
Epoch: [39][8350/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 1.9732 (2.2171)	Prec@1 48.438 (44.255)	Prec@5 80.469 (74.922)
Epoch: [39][8360/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.1568 (2.2172)	Prec@1 50.000 (44.253)	Prec@5 70.312 (74.920)
Epoch: [39][8370/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.1072 (2.2171)	Prec@1 47.656 (44.255)	Prec@5 77.344 (74.921)
Epoch: [39][8380/14090]	Time 0.853 (0.766)	Data 0.001 (0.001)	Loss 2.1816 (2.2171)	Prec@1 48.438 (44.255)	Prec@5 77.344 (74.922)
Epoch: [39][8390/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 2.1517 (2.2170)	Prec@1 45.312 (44.259)	Prec@5 78.906 (74.925)
Epoch: [39][8400/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.2854 (2.2170)	Prec@1 38.281 (44.258)	Prec@5 71.875 (74.924)
Epoch: [39][8410/14090]	Time 0.782 (0.766)	Data 0.001 (0.001)	Loss 2.2176 (2.2171)	Prec@1 44.531 (44.256)	Prec@5 77.344 (74.922)
Epoch: [39][8420/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.1454 (2.2173)	Prec@1 46.875 (44.251)	Prec@5 76.562 (74.919)
Epoch: [39][8430/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.3545 (2.2173)	Prec@1 42.188 (44.253)	Prec@5 72.656 (74.921)
Epoch: [39][8440/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.1410 (2.2173)	Prec@1 45.312 (44.250)	Prec@5 78.906 (74.921)
Epoch: [39][8450/14090]	Time 0.855 (0.766)	Data 0.001 (0.001)	Loss 2.3134 (2.2172)	Prec@1 41.406 (44.251)	Prec@5 70.312 (74.923)
Epoch: [39][8460/14090]	Time 0.720 (0.766)	Data 0.001 (0.001)	Loss 2.2635 (2.2173)	Prec@1 39.844 (44.252)	Prec@5 67.188 (74.919)
Epoch: [39][8470/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.3849 (2.2174)	Prec@1 44.531 (44.251)	Prec@5 70.312 (74.918)
Epoch: [39][8480/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.5156 (2.2174)	Prec@1 36.719 (44.249)	Prec@5 68.750 (74.917)
Epoch: [39][8490/14090]	Time 0.781 (0.766)	Data 0.001 (0.001)	Loss 2.4680 (2.2174)	Prec@1 35.156 (44.250)	Prec@5 71.094 (74.918)
Epoch: [39][8500/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.4016 (2.2175)	Prec@1 35.156 (44.248)	Prec@5 73.438 (74.915)
Epoch: [39][8510/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.3260 (2.2175)	Prec@1 40.625 (44.247)	Prec@5 75.000 (74.916)
Epoch: [39][8520/14090]	Time 0.894 (0.766)	Data 0.001 (0.001)	Loss 2.3289 (2.2175)	Prec@1 39.062 (44.247)	Prec@5 71.875 (74.915)
Epoch: [39][8530/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.0818 (2.2176)	Prec@1 47.656 (44.247)	Prec@5 74.219 (74.915)
Epoch: [39][8540/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.0798 (2.2176)	Prec@1 50.000 (44.246)	Prec@5 76.562 (74.914)
Epoch: [39][8550/14090]	Time 0.776 (0.766)	Data 0.001 (0.001)	Loss 2.2898 (2.2176)	Prec@1 38.281 (44.246)	Prec@5 73.438 (74.913)
Epoch: [39][8560/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.3721 (2.2176)	Prec@1 39.844 (44.245)	Prec@5 71.875 (74.914)
Epoch: [39][8570/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.6214 (2.2175)	Prec@1 35.938 (44.245)	Prec@5 73.438 (74.916)
Epoch: [39][8580/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.1328 (2.2177)	Prec@1 43.750 (44.242)	Prec@5 76.562 (74.913)
Epoch: [39][8590/14090]	Time 0.878 (0.766)	Data 0.001 (0.001)	Loss 2.3061 (2.2176)	Prec@1 39.062 (44.244)	Prec@5 78.906 (74.917)
Epoch: [39][8600/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.3038 (2.2175)	Prec@1 48.438 (44.246)	Prec@5 74.219 (74.917)
Epoch: [39][8610/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.2553 (2.2176)	Prec@1 44.531 (44.247)	Prec@5 75.781 (74.916)
Epoch: [39][8620/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.3255 (2.2177)	Prec@1 43.750 (44.245)	Prec@5 74.219 (74.915)
Epoch: [39][8630/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.5532 (2.2177)	Prec@1 39.062 (44.245)	Prec@5 67.969 (74.913)
Epoch: [39][8640/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.4202 (2.2178)	Prec@1 43.750 (44.244)	Prec@5 73.438 (74.912)
Epoch: [39][8650/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.4100 (2.2179)	Prec@1 36.719 (44.242)	Prec@5 74.219 (74.912)
Epoch: [39][8660/14090]	Time 0.830 (0.766)	Data 0.001 (0.001)	Loss 2.3172 (2.2180)	Prec@1 39.062 (44.240)	Prec@5 75.781 (74.911)
Epoch: [39][8670/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.0294 (2.2180)	Prec@1 46.094 (44.240)	Prec@5 76.562 (74.910)
Epoch: [39][8680/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.3895 (2.2180)	Prec@1 44.531 (44.240)	Prec@5 75.781 (74.911)
Epoch: [39][8690/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 2.1157 (2.2179)	Prec@1 46.094 (44.244)	Prec@5 78.906 (74.915)
Epoch: [39][8700/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.0986 (2.2179)	Prec@1 47.656 (44.244)	Prec@5 75.000 (74.914)
Epoch: [39][8710/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.1951 (2.2180)	Prec@1 46.875 (44.244)	Prec@5 69.531 (74.911)
Epoch: [39][8720/14090]	Time 0.769 (0.766)	Data 0.001 (0.001)	Loss 2.3905 (2.2179)	Prec@1 37.500 (44.244)	Prec@5 72.656 (74.914)
Epoch: [39][8730/14090]	Time 0.880 (0.766)	Data 0.001 (0.001)	Loss 2.1729 (2.2179)	Prec@1 46.094 (44.245)	Prec@5 78.125 (74.914)
Epoch: [39][8740/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.2480 (2.2180)	Prec@1 46.094 (44.243)	Prec@5 75.000 (74.912)
Epoch: [39][8750/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.6500 (2.2182)	Prec@1 34.375 (44.241)	Prec@5 65.625 (74.908)
Epoch: [39][8760/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.5386 (2.2182)	Prec@1 40.625 (44.241)	Prec@5 67.969 (74.908)
Epoch: [39][8770/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 1.9003 (2.2180)	Prec@1 49.219 (44.243)	Prec@5 78.906 (74.910)
Epoch: [39][8780/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.4466 (2.2181)	Prec@1 42.188 (44.242)	Prec@5 67.969 (74.908)
Epoch: [39][8790/14090]	Time 0.765 (0.766)	Data 0.001 (0.001)	Loss 2.1672 (2.2181)	Prec@1 48.438 (44.243)	Prec@5 77.344 (74.908)
Epoch: [39][8800/14090]	Time 0.832 (0.766)	Data 0.001 (0.001)	Loss 2.4207 (2.2181)	Prec@1 39.844 (44.243)	Prec@5 71.875 (74.908)
Epoch: [39][8810/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.2578 (2.2182)	Prec@1 44.531 (44.241)	Prec@5 69.531 (74.906)
Epoch: [39][8820/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.3341 (2.2181)	Prec@1 33.594 (44.241)	Prec@5 70.312 (74.906)
Epoch: [39][8830/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 2.4696 (2.2181)	Prec@1 35.938 (44.243)	Prec@5 71.875 (74.908)
Epoch: [39][8840/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.4530 (2.2181)	Prec@1 42.188 (44.240)	Prec@5 67.969 (74.907)
Epoch: [39][8850/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 2.2685 (2.2182)	Prec@1 44.531 (44.238)	Prec@5 68.750 (74.904)
Epoch: [39][8860/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.1759 (2.2182)	Prec@1 44.531 (44.238)	Prec@5 68.750 (74.903)
Epoch: [39][8870/14090]	Time 0.835 (0.766)	Data 0.001 (0.001)	Loss 2.2642 (2.2182)	Prec@1 44.531 (44.239)	Prec@5 71.875 (74.903)
Epoch: [39][8880/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.4033 (2.2182)	Prec@1 39.844 (44.241)	Prec@5 73.438 (74.903)
Epoch: [39][8890/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.4545 (2.2182)	Prec@1 39.844 (44.242)	Prec@5 68.750 (74.903)
Epoch: [39][8900/14090]	Time 0.769 (0.766)	Data 0.001 (0.001)	Loss 2.2210 (2.2182)	Prec@1 42.969 (44.240)	Prec@5 73.438 (74.901)
Epoch: [39][8910/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.6645 (2.2182)	Prec@1 35.156 (44.239)	Prec@5 73.438 (74.901)
Epoch: [39][8920/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.1553 (2.2183)	Prec@1 46.094 (44.238)	Prec@5 80.469 (74.900)
Epoch: [39][8930/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 2.2787 (2.2183)	Prec@1 38.281 (44.236)	Prec@5 77.344 (74.901)
Epoch: [39][8940/14090]	Time 0.916 (0.766)	Data 0.001 (0.001)	Loss 2.0432 (2.2182)	Prec@1 49.219 (44.236)	Prec@5 78.125 (74.902)
Epoch: [39][8950/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.2578 (2.2182)	Prec@1 40.625 (44.236)	Prec@5 75.000 (74.902)
Epoch: [39][8960/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.1975 (2.2183)	Prec@1 44.531 (44.235)	Prec@5 73.438 (74.900)
Epoch: [39][8970/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.3234 (2.2182)	Prec@1 41.406 (44.235)	Prec@5 76.562 (74.902)
Epoch: [39][8980/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.3895 (2.2183)	Prec@1 35.938 (44.233)	Prec@5 70.312 (74.902)
Epoch: [39][8990/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.0298 (2.2181)	Prec@1 52.344 (44.236)	Prec@5 81.250 (74.905)
Epoch: [39][9000/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.1744 (2.2181)	Prec@1 46.094 (44.239)	Prec@5 75.781 (74.907)
Epoch: [39][9010/14090]	Time 0.856 (0.766)	Data 0.001 (0.001)	Loss 2.1622 (2.2180)	Prec@1 39.844 (44.241)	Prec@5 77.344 (74.907)
Epoch: [39][9020/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.3539 (2.2180)	Prec@1 43.750 (44.243)	Prec@5 71.875 (74.905)
Epoch: [39][9030/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.2577 (2.2181)	Prec@1 43.750 (44.242)	Prec@5 72.656 (74.905)
Epoch: [39][9040/14090]	Time 0.774 (0.766)	Data 0.001 (0.001)	Loss 2.0239 (2.2180)	Prec@1 42.969 (44.243)	Prec@5 78.906 (74.906)
Epoch: [39][9050/14090]	Time 0.778 (0.766)	Data 0.001 (0.001)	Loss 2.1921 (2.2180)	Prec@1 43.750 (44.243)	Prec@5 75.000 (74.907)
Epoch: [39][9060/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 2.4159 (2.2181)	Prec@1 39.844 (44.241)	Prec@5 67.969 (74.905)
Epoch: [39][9070/14090]	Time 0.785 (0.766)	Data 0.001 (0.001)	Loss 2.1211 (2.2180)	Prec@1 43.750 (44.242)	Prec@5 76.562 (74.907)
Epoch: [39][9080/14090]	Time 0.839 (0.766)	Data 0.001 (0.001)	Loss 1.9619 (2.2180)	Prec@1 46.094 (44.242)	Prec@5 84.375 (74.908)
Epoch: [39][9090/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.1078 (2.2180)	Prec@1 43.750 (44.240)	Prec@5 75.781 (74.907)
Epoch: [39][9100/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 2.3112 (2.2181)	Prec@1 41.406 (44.239)	Prec@5 75.000 (74.905)
Epoch: [39][9110/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.3436 (2.2181)	Prec@1 40.625 (44.238)	Prec@5 71.094 (74.905)
Epoch: [39][9120/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.3395 (2.2182)	Prec@1 41.406 (44.237)	Prec@5 72.656 (74.904)
Epoch: [39][9130/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.2921 (2.2182)	Prec@1 49.219 (44.237)	Prec@5 70.312 (74.902)
Epoch: [39][9140/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.3074 (2.2182)	Prec@1 42.969 (44.236)	Prec@5 73.438 (74.901)
Epoch: [39][9150/14090]	Time 0.845 (0.766)	Data 0.001 (0.001)	Loss 2.6619 (2.2183)	Prec@1 40.625 (44.234)	Prec@5 65.625 (74.898)
Epoch: [39][9160/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.0817 (2.2184)	Prec@1 44.531 (44.232)	Prec@5 81.250 (74.898)
Epoch: [39][9170/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.2724 (2.2185)	Prec@1 47.656 (44.230)	Prec@5 78.125 (74.896)
Epoch: [39][9180/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.4583 (2.2185)	Prec@1 36.719 (44.228)	Prec@5 70.312 (74.894)
Epoch: [39][9190/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.2633 (2.2185)	Prec@1 48.438 (44.230)	Prec@5 71.875 (74.895)
Epoch: [39][9200/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.3201 (2.2185)	Prec@1 44.531 (44.230)	Prec@5 75.781 (74.896)
Epoch: [39][9210/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.2574 (2.2186)	Prec@1 45.312 (44.229)	Prec@5 77.344 (74.896)
Epoch: [39][9220/14090]	Time 0.978 (0.766)	Data 0.001 (0.001)	Loss 2.3178 (2.2185)	Prec@1 45.312 (44.231)	Prec@5 73.438 (74.898)
Epoch: [39][9230/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.3085 (2.2185)	Prec@1 39.062 (44.230)	Prec@5 72.656 (74.897)
Epoch: [39][9240/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 1.9916 (2.2185)	Prec@1 42.188 (44.232)	Prec@5 80.469 (74.897)
Epoch: [39][9250/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.0349 (2.2186)	Prec@1 43.750 (44.231)	Prec@5 77.344 (74.898)
Epoch: [39][9260/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.1995 (2.2185)	Prec@1 42.188 (44.231)	Prec@5 75.781 (74.899)
Epoch: [39][9270/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.1371 (2.2185)	Prec@1 42.969 (44.231)	Prec@5 78.125 (74.898)
Epoch: [39][9280/14090]	Time 0.771 (0.766)	Data 0.001 (0.001)	Loss 2.0181 (2.2185)	Prec@1 49.219 (44.230)	Prec@5 82.812 (74.899)
Epoch: [39][9290/14090]	Time 0.852 (0.766)	Data 0.001 (0.001)	Loss 2.0508 (2.2186)	Prec@1 45.312 (44.231)	Prec@5 81.250 (74.899)
Epoch: [39][9300/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.0742 (2.2186)	Prec@1 45.312 (44.229)	Prec@5 75.000 (74.898)
Epoch: [39][9310/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.0835 (2.2186)	Prec@1 51.562 (44.230)	Prec@5 78.906 (74.898)
Epoch: [39][9320/14090]	Time 0.768 (0.766)	Data 0.001 (0.001)	Loss 2.5075 (2.2186)	Prec@1 35.156 (44.230)	Prec@5 70.312 (74.896)
Epoch: [39][9330/14090]	Time 0.765 (0.766)	Data 0.001 (0.001)	Loss 1.9697 (2.2186)	Prec@1 46.875 (44.228)	Prec@5 82.031 (74.895)
Epoch: [39][9340/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.2219 (2.2186)	Prec@1 42.188 (44.229)	Prec@5 75.000 (74.894)
Epoch: [39][9350/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.1957 (2.2186)	Prec@1 44.531 (44.230)	Prec@5 75.781 (74.895)
Epoch: [39][9360/14090]	Time 0.873 (0.766)	Data 0.001 (0.001)	Loss 1.9919 (2.2185)	Prec@1 49.219 (44.233)	Prec@5 78.906 (74.896)
Epoch: [39][9370/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.3296 (2.2186)	Prec@1 42.969 (44.231)	Prec@5 71.875 (74.894)
Epoch: [39][9380/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.3418 (2.2185)	Prec@1 42.969 (44.233)	Prec@5 73.438 (74.894)
Epoch: [39][9390/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.5131 (2.2185)	Prec@1 36.719 (44.234)	Prec@5 67.188 (74.894)
Epoch: [39][9400/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 1.9850 (2.2185)	Prec@1 46.094 (44.235)	Prec@5 78.125 (74.894)
Epoch: [39][9410/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.0723 (2.2186)	Prec@1 42.188 (44.235)	Prec@5 77.344 (74.892)
Epoch: [39][9420/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.4265 (2.2186)	Prec@1 42.969 (44.233)	Prec@5 71.875 (74.892)
Epoch: [39][9430/14090]	Time 0.876 (0.766)	Data 0.001 (0.001)	Loss 2.1302 (2.2186)	Prec@1 40.625 (44.231)	Prec@5 80.469 (74.891)
Epoch: [39][9440/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.1543 (2.2187)	Prec@1 46.875 (44.228)	Prec@5 74.219 (74.890)
Epoch: [39][9450/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.3029 (2.2187)	Prec@1 44.531 (44.226)	Prec@5 74.219 (74.888)
Epoch: [39][9460/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.5209 (2.2187)	Prec@1 39.844 (44.226)	Prec@5 66.406 (74.887)
Epoch: [39][9470/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.3049 (2.2187)	Prec@1 45.312 (44.227)	Prec@5 75.000 (74.888)
Epoch: [39][9480/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.2301 (2.2186)	Prec@1 44.531 (44.229)	Prec@5 72.656 (74.889)
Epoch: [39][9490/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.0820 (2.2186)	Prec@1 40.625 (44.229)	Prec@5 78.906 (74.890)
Epoch: [39][9500/14090]	Time 0.894 (0.766)	Data 0.001 (0.001)	Loss 2.2574 (2.2187)	Prec@1 43.750 (44.228)	Prec@5 75.000 (74.889)
Epoch: [39][9510/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.0863 (2.2187)	Prec@1 50.781 (44.229)	Prec@5 75.781 (74.889)
Epoch: [39][9520/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.1462 (2.2187)	Prec@1 41.406 (44.228)	Prec@5 74.219 (74.888)
Epoch: [39][9530/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.4509 (2.2189)	Prec@1 41.406 (44.226)	Prec@5 71.094 (74.887)
Epoch: [39][9540/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.1076 (2.2189)	Prec@1 46.094 (44.227)	Prec@5 75.000 (74.885)
Epoch: [39][9550/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 2.1376 (2.2190)	Prec@1 44.531 (44.225)	Prec@5 79.688 (74.883)
Epoch: [39][9560/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.0072 (2.2190)	Prec@1 52.344 (44.226)	Prec@5 79.688 (74.883)
Epoch: [39][9570/14090]	Time 0.861 (0.766)	Data 0.001 (0.001)	Loss 2.5489 (2.2190)	Prec@1 39.062 (44.225)	Prec@5 68.750 (74.884)
Epoch: [39][9580/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.1710 (2.2189)	Prec@1 47.656 (44.225)	Prec@5 77.344 (74.886)
Epoch: [39][9590/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.2467 (2.2190)	Prec@1 47.656 (44.225)	Prec@5 74.219 (74.886)
Epoch: [39][9600/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.2227 (2.2190)	Prec@1 42.188 (44.225)	Prec@5 73.438 (74.885)
Epoch: [39][9610/14090]	Time 0.777 (0.766)	Data 0.001 (0.001)	Loss 2.1763 (2.2189)	Prec@1 47.656 (44.227)	Prec@5 76.562 (74.887)
Epoch: [39][9620/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.1421 (2.2188)	Prec@1 42.969 (44.231)	Prec@5 75.781 (74.889)
Epoch: [39][9630/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.0784 (2.2190)	Prec@1 47.656 (44.227)	Prec@5 77.344 (74.886)
Epoch: [39][9640/14090]	Time 0.851 (0.766)	Data 0.001 (0.001)	Loss 2.4709 (2.2190)	Prec@1 35.156 (44.226)	Prec@5 73.438 (74.885)
Epoch: [39][9650/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.4591 (2.2189)	Prec@1 42.188 (44.228)	Prec@5 67.969 (74.887)
Epoch: [39][9660/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 2.3613 (2.2190)	Prec@1 42.188 (44.227)	Prec@5 75.000 (74.886)
Epoch: [39][9670/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.2235 (2.2190)	Prec@1 42.188 (44.228)	Prec@5 75.781 (74.885)
Epoch: [39][9680/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.3891 (2.2190)	Prec@1 43.750 (44.228)	Prec@5 73.438 (74.886)
Epoch: [39][9690/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 1.9841 (2.2188)	Prec@1 44.531 (44.230)	Prec@5 83.594 (74.890)
Epoch: [39][9700/14090]	Time 0.777 (0.766)	Data 0.001 (0.001)	Loss 2.0915 (2.2189)	Prec@1 46.875 (44.229)	Prec@5 77.344 (74.890)
Epoch: [39][9710/14090]	Time 0.894 (0.766)	Data 0.001 (0.001)	Loss 2.0258 (2.2188)	Prec@1 50.781 (44.232)	Prec@5 82.812 (74.892)
Epoch: [39][9720/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.5280 (2.2188)	Prec@1 40.625 (44.232)	Prec@5 66.406 (74.890)
Epoch: [39][9730/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 2.2613 (2.2188)	Prec@1 48.438 (44.232)	Prec@5 75.000 (74.890)
Epoch: [39][9740/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 2.3995 (2.2188)	Prec@1 42.969 (44.232)	Prec@5 72.656 (74.890)
Epoch: [39][9750/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.4192 (2.2188)	Prec@1 41.406 (44.232)	Prec@5 72.656 (74.891)
Epoch: [39][9760/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 1.8757 (2.2187)	Prec@1 54.688 (44.233)	Prec@5 77.344 (74.891)
Epoch: [39][9770/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.1971 (2.2188)	Prec@1 42.969 (44.231)	Prec@5 77.344 (74.888)
Epoch: [39][9780/14090]	Time 0.879 (0.766)	Data 0.001 (0.001)	Loss 2.0460 (2.2187)	Prec@1 52.344 (44.233)	Prec@5 75.781 (74.890)
Epoch: [39][9790/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.5586 (2.2187)	Prec@1 43.750 (44.234)	Prec@5 67.188 (74.890)
Epoch: [39][9800/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.3035 (2.2188)	Prec@1 42.188 (44.233)	Prec@5 74.219 (74.889)
Epoch: [39][9810/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 1.9929 (2.2188)	Prec@1 47.656 (44.232)	Prec@5 78.906 (74.889)
Epoch: [39][9820/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.2139 (2.2187)	Prec@1 41.406 (44.233)	Prec@5 75.781 (74.890)
Epoch: [39][9830/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 1.9640 (2.2186)	Prec@1 51.562 (44.234)	Prec@5 82.812 (74.893)
Epoch: [39][9840/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.2206 (2.2186)	Prec@1 46.875 (44.235)	Prec@5 72.656 (74.894)
Epoch: [39][9850/14090]	Time 0.835 (0.766)	Data 0.001 (0.001)	Loss 2.2374 (2.2186)	Prec@1 42.969 (44.235)	Prec@5 76.562 (74.894)
Epoch: [39][9860/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.0855 (2.2186)	Prec@1 50.000 (44.235)	Prec@5 75.000 (74.894)
Epoch: [39][9870/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.1975 (2.2186)	Prec@1 49.219 (44.237)	Prec@5 77.344 (74.893)
Epoch: [39][9880/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.4771 (2.2186)	Prec@1 39.062 (44.235)	Prec@5 68.750 (74.893)
Epoch: [39][9890/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.4083 (2.2186)	Prec@1 46.094 (44.235)	Prec@5 68.750 (74.891)
Epoch: [39][9900/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.0027 (2.2187)	Prec@1 53.906 (44.235)	Prec@5 78.125 (74.890)
Epoch: [39][9910/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 1.9874 (2.2186)	Prec@1 43.750 (44.236)	Prec@5 79.688 (74.891)
Epoch: [39][9920/14090]	Time 0.876 (0.766)	Data 0.001 (0.001)	Loss 2.3392 (2.2187)	Prec@1 42.188 (44.233)	Prec@5 74.219 (74.890)
Epoch: [39][9930/14090]	Time 0.772 (0.766)	Data 0.001 (0.001)	Loss 2.3208 (2.2187)	Prec@1 41.406 (44.233)	Prec@5 71.875 (74.890)
Epoch: [39][9940/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.0928 (2.2187)	Prec@1 50.781 (44.233)	Prec@5 77.344 (74.891)
Epoch: [39][9950/14090]	Time 0.777 (0.766)	Data 0.001 (0.001)	Loss 1.9777 (2.2186)	Prec@1 49.219 (44.233)	Prec@5 82.812 (74.893)
Epoch: [39][9960/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.1778 (2.2186)	Prec@1 41.406 (44.233)	Prec@5 78.906 (74.895)
Epoch: [39][9970/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.2322 (2.2186)	Prec@1 42.188 (44.234)	Prec@5 74.219 (74.893)
Epoch: [39][9980/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.1775 (2.2186)	Prec@1 42.188 (44.230)	Prec@5 75.781 (74.891)
Epoch: [39][9990/14090]	Time 0.864 (0.766)	Data 0.001 (0.001)	Loss 2.2720 (2.2186)	Prec@1 41.406 (44.230)	Prec@5 74.219 (74.891)
Epoch: [39][10000/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.5083 (2.2186)	Prec@1 38.281 (44.232)	Prec@5 75.781 (74.890)
Epoch: [39][10010/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.1524 (2.2187)	Prec@1 49.219 (44.231)	Prec@5 77.344 (74.889)
Epoch: [39][10020/14090]	Time 0.774 (0.766)	Data 0.001 (0.001)	Loss 2.4189 (2.2187)	Prec@1 41.406 (44.231)	Prec@5 72.656 (74.889)
Epoch: [39][10030/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.2327 (2.2188)	Prec@1 45.312 (44.230)	Prec@5 72.656 (74.887)
Epoch: [39][10040/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.4460 (2.2188)	Prec@1 44.531 (44.229)	Prec@5 72.656 (74.888)
Epoch: [39][10050/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.1993 (2.2188)	Prec@1 44.531 (44.227)	Prec@5 76.562 (74.888)
Epoch: [39][10060/14090]	Time 0.893 (0.766)	Data 0.001 (0.001)	Loss 2.5221 (2.2188)	Prec@1 35.156 (44.228)	Prec@5 64.844 (74.888)
Epoch: [39][10070/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 1.9110 (2.2188)	Prec@1 52.344 (44.230)	Prec@5 81.250 (74.889)
Epoch: [39][10080/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.4489 (2.2187)	Prec@1 41.406 (44.231)	Prec@5 75.000 (74.891)
Epoch: [39][10090/14090]	Time 0.765 (0.766)	Data 0.001 (0.001)	Loss 2.1950 (2.2187)	Prec@1 39.844 (44.233)	Prec@5 76.562 (74.891)
Epoch: [39][10100/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.2162 (2.2186)	Prec@1 39.062 (44.234)	Prec@5 74.219 (74.893)
Epoch: [39][10110/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.4130 (2.2188)	Prec@1 42.969 (44.232)	Prec@5 71.875 (74.889)
Epoch: [39][10120/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 1.8880 (2.2188)	Prec@1 53.125 (44.231)	Prec@5 80.469 (74.890)
Epoch: [39][10130/14090]	Time 0.865 (0.766)	Data 0.001 (0.001)	Loss 2.2871 (2.2188)	Prec@1 42.969 (44.231)	Prec@5 68.750 (74.889)
Epoch: [39][10140/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.0697 (2.2188)	Prec@1 46.875 (44.229)	Prec@5 75.781 (74.888)
Epoch: [39][10150/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.3529 (2.2187)	Prec@1 42.188 (44.230)	Prec@5 71.875 (74.888)
Epoch: [39][10160/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.1764 (2.2187)	Prec@1 42.969 (44.233)	Prec@5 75.781 (74.888)
Epoch: [39][10170/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.1114 (2.2186)	Prec@1 45.312 (44.235)	Prec@5 78.906 (74.889)
Epoch: [39][10180/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.4166 (2.2185)	Prec@1 40.625 (44.235)	Prec@5 71.094 (74.891)
Epoch: [39][10190/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.1696 (2.2185)	Prec@1 49.219 (44.236)	Prec@5 74.219 (74.891)
Epoch: [39][10200/14090]	Time 0.858 (0.766)	Data 0.001 (0.001)	Loss 2.2699 (2.2185)	Prec@1 44.531 (44.236)	Prec@5 74.219 (74.891)
Epoch: [39][10210/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.1127 (2.2185)	Prec@1 50.000 (44.235)	Prec@5 73.438 (74.892)
Epoch: [39][10220/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.1160 (2.2185)	Prec@1 50.000 (44.235)	Prec@5 78.125 (74.890)
Epoch: [39][10230/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 1.9890 (2.2186)	Prec@1 50.000 (44.235)	Prec@5 79.688 (74.889)
Epoch: [39][10240/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.4791 (2.2186)	Prec@1 35.156 (44.234)	Prec@5 69.531 (74.888)
Epoch: [39][10250/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.1193 (2.2186)	Prec@1 46.875 (44.234)	Prec@5 78.125 (74.889)
Epoch: [39][10260/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.0585 (2.2186)	Prec@1 45.312 (44.234)	Prec@5 78.125 (74.889)
Epoch: [39][10270/14090]	Time 0.832 (0.766)	Data 0.001 (0.001)	Loss 2.0709 (2.2186)	Prec@1 46.875 (44.234)	Prec@5 71.094 (74.887)
Epoch: [39][10280/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.2481 (2.2186)	Prec@1 39.844 (44.236)	Prec@5 74.219 (74.888)
Epoch: [39][10290/14090]	Time 0.768 (0.766)	Data 0.001 (0.001)	Loss 2.2592 (2.2185)	Prec@1 38.281 (44.236)	Prec@5 75.781 (74.888)
Epoch: [39][10300/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.2919 (2.2185)	Prec@1 45.312 (44.237)	Prec@5 76.562 (74.890)
Epoch: [39][10310/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.0492 (2.2185)	Prec@1 45.312 (44.236)	Prec@5 75.000 (74.889)
Epoch: [39][10320/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 2.2082 (2.2185)	Prec@1 46.875 (44.235)	Prec@5 71.875 (74.888)
Epoch: [39][10330/14090]	Time 0.786 (0.766)	Data 0.001 (0.001)	Loss 2.2086 (2.2184)	Prec@1 40.625 (44.236)	Prec@5 74.219 (74.889)
Epoch: [39][10340/14090]	Time 0.877 (0.766)	Data 0.001 (0.001)	Loss 2.3690 (2.2184)	Prec@1 44.531 (44.236)	Prec@5 69.531 (74.887)
Epoch: [39][10350/14090]	Time 0.775 (0.766)	Data 0.001 (0.001)	Loss 2.1969 (2.2185)	Prec@1 45.312 (44.235)	Prec@5 78.125 (74.886)
Epoch: [39][10360/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 2.0055 (2.2185)	Prec@1 48.438 (44.235)	Prec@5 78.906 (74.888)
Epoch: [39][10370/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.2557 (2.2185)	Prec@1 42.969 (44.233)	Prec@5 75.000 (74.887)
Epoch: [39][10380/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.1736 (2.2185)	Prec@1 46.094 (44.232)	Prec@5 72.656 (74.885)
Epoch: [39][10390/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.2591 (2.2185)	Prec@1 47.656 (44.231)	Prec@5 74.219 (74.887)
Epoch: [39][10400/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.1354 (2.2184)	Prec@1 47.656 (44.233)	Prec@5 75.781 (74.887)
Epoch: [39][10410/14090]	Time 0.869 (0.766)	Data 0.001 (0.001)	Loss 2.1494 (2.2184)	Prec@1 43.750 (44.232)	Prec@5 75.000 (74.887)
Epoch: [39][10420/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.1731 (2.2185)	Prec@1 49.219 (44.230)	Prec@5 77.344 (74.886)
Epoch: [39][10430/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.1764 (2.2184)	Prec@1 44.531 (44.229)	Prec@5 74.219 (74.885)
Epoch: [39][10440/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.6727 (2.2185)	Prec@1 34.375 (44.228)	Prec@5 70.312 (74.884)
Epoch: [39][10450/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 2.2374 (2.2184)	Prec@1 38.281 (44.229)	Prec@5 82.031 (74.886)
Epoch: [39][10460/14090]	Time 0.775 (0.766)	Data 0.001 (0.001)	Loss 2.1817 (2.2184)	Prec@1 44.531 (44.233)	Prec@5 78.125 (74.886)
Epoch: [39][10470/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.2246 (2.2184)	Prec@1 50.000 (44.234)	Prec@5 74.219 (74.887)
Epoch: [39][10480/14090]	Time 0.891 (0.766)	Data 0.001 (0.001)	Loss 2.5405 (2.2184)	Prec@1 41.406 (44.233)	Prec@5 71.875 (74.887)
Epoch: [39][10490/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.2160 (2.2184)	Prec@1 42.969 (44.233)	Prec@5 77.344 (74.888)
Epoch: [39][10500/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.0112 (2.2183)	Prec@1 53.125 (44.235)	Prec@5 78.906 (74.889)
Epoch: [39][10510/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 2.1540 (2.2183)	Prec@1 45.312 (44.234)	Prec@5 77.344 (74.890)
Epoch: [39][10520/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.1018 (2.2183)	Prec@1 50.000 (44.234)	Prec@5 75.000 (74.889)
Epoch: [39][10530/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 1.9456 (2.2182)	Prec@1 53.906 (44.236)	Prec@5 79.688 (74.890)
Epoch: [39][10540/14090]	Time 0.724 (0.766)	Data 0.001 (0.001)	Loss 2.2331 (2.2183)	Prec@1 46.094 (44.235)	Prec@5 77.344 (74.888)
Epoch: [39][10550/14090]	Time 0.875 (0.766)	Data 0.001 (0.001)	Loss 2.2629 (2.2183)	Prec@1 39.844 (44.233)	Prec@5 73.438 (74.888)
Epoch: [39][10560/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.0517 (2.2184)	Prec@1 50.781 (44.231)	Prec@5 78.125 (74.885)
Epoch: [39][10570/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 1.8514 (2.2185)	Prec@1 55.469 (44.230)	Prec@5 77.344 (74.883)
Epoch: [39][10580/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 2.2071 (2.2185)	Prec@1 46.094 (44.230)	Prec@5 74.219 (74.882)
Epoch: [39][10590/14090]	Time 0.724 (0.766)	Data 0.001 (0.001)	Loss 1.9510 (2.2185)	Prec@1 46.094 (44.231)	Prec@5 79.688 (74.882)
Epoch: [39][10600/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.1311 (2.2185)	Prec@1 46.094 (44.231)	Prec@5 75.781 (74.882)
Epoch: [39][10610/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.0907 (2.2184)	Prec@1 46.094 (44.233)	Prec@5 76.562 (74.883)
Epoch: [39][10620/14090]	Time 0.878 (0.766)	Data 0.001 (0.001)	Loss 2.2084 (2.2184)	Prec@1 41.406 (44.236)	Prec@5 77.344 (74.884)
Epoch: [39][10630/14090]	Time 0.780 (0.766)	Data 0.001 (0.001)	Loss 2.2487 (2.2184)	Prec@1 42.969 (44.238)	Prec@5 73.438 (74.885)
Epoch: [39][10640/14090]	Time 0.722 (0.766)	Data 0.001 (0.001)	Loss 2.0154 (2.2184)	Prec@1 49.219 (44.239)	Prec@5 79.688 (74.884)
Epoch: [39][10650/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.1333 (2.2184)	Prec@1 48.438 (44.238)	Prec@5 73.438 (74.884)
Epoch: [39][10660/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.1936 (2.2184)	Prec@1 40.625 (44.237)	Prec@5 74.219 (74.883)
Epoch: [39][10670/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.1983 (2.2184)	Prec@1 42.188 (44.239)	Prec@5 75.781 (74.883)
Epoch: [39][10680/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.4550 (2.2184)	Prec@1 48.438 (44.239)	Prec@5 71.094 (74.882)
Epoch: [39][10690/14090]	Time 0.870 (0.766)	Data 0.001 (0.001)	Loss 2.4335 (2.2184)	Prec@1 38.281 (44.237)	Prec@5 69.531 (74.881)
Epoch: [39][10700/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.2045 (2.2185)	Prec@1 44.531 (44.237)	Prec@5 75.000 (74.880)
Epoch: [39][10710/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 2.2909 (2.2184)	Prec@1 48.438 (44.238)	Prec@5 70.312 (74.882)
Epoch: [39][10720/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.1065 (2.2184)	Prec@1 41.406 (44.239)	Prec@5 78.906 (74.884)
Epoch: [39][10730/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.2862 (2.2184)	Prec@1 39.844 (44.238)	Prec@5 73.438 (74.883)
Epoch: [39][10740/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.3328 (2.2184)	Prec@1 39.844 (44.240)	Prec@5 75.000 (74.884)
Epoch: [39][10750/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.4336 (2.2184)	Prec@1 40.625 (44.240)	Prec@5 70.312 (74.883)
Epoch: [39][10760/14090]	Time 0.830 (0.766)	Data 0.001 (0.001)	Loss 2.0776 (2.2183)	Prec@1 49.219 (44.241)	Prec@5 75.000 (74.883)
Epoch: [39][10770/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.0572 (2.2183)	Prec@1 42.969 (44.240)	Prec@5 81.250 (74.884)
Epoch: [39][10780/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.3094 (2.2182)	Prec@1 39.844 (44.241)	Prec@5 71.875 (74.884)
Epoch: [39][10790/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.1959 (2.2182)	Prec@1 48.438 (44.242)	Prec@5 73.438 (74.885)
Epoch: [39][10800/14090]	Time 0.770 (0.766)	Data 0.001 (0.001)	Loss 2.2334 (2.2182)	Prec@1 46.875 (44.243)	Prec@5 73.438 (74.886)
Epoch: [39][10810/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.1406 (2.2182)	Prec@1 47.656 (44.243)	Prec@5 77.344 (74.886)
Epoch: [39][10820/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.3303 (2.2182)	Prec@1 39.844 (44.246)	Prec@5 73.438 (74.886)
Epoch: [39][10830/14090]	Time 0.864 (0.766)	Data 0.001 (0.001)	Loss 1.9943 (2.2181)	Prec@1 46.094 (44.248)	Prec@5 82.031 (74.888)
Epoch: [39][10840/14090]	Time 0.765 (0.766)	Data 0.001 (0.001)	Loss 2.4098 (2.2181)	Prec@1 39.062 (44.249)	Prec@5 72.656 (74.889)
Epoch: [39][10850/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.4653 (2.2181)	Prec@1 39.844 (44.249)	Prec@5 66.406 (74.890)
Epoch: [39][10860/14090]	Time 0.756 (0.766)	Data 0.002 (0.001)	Loss 2.2127 (2.2181)	Prec@1 43.750 (44.246)	Prec@5 72.656 (74.888)
Epoch: [39][10870/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.1256 (2.2181)	Prec@1 45.312 (44.246)	Prec@5 78.125 (74.888)
Epoch: [39][10880/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 1.9083 (2.2181)	Prec@1 50.781 (44.246)	Prec@5 82.812 (74.890)
Epoch: [39][10890/14090]	Time 0.767 (0.766)	Data 0.001 (0.001)	Loss 2.2856 (2.2181)	Prec@1 46.875 (44.246)	Prec@5 71.094 (74.889)
Epoch: [39][10900/14090]	Time 0.867 (0.766)	Data 0.001 (0.001)	Loss 2.1881 (2.2182)	Prec@1 38.281 (44.248)	Prec@5 71.875 (74.889)
Epoch: [39][10910/14090]	Time 0.772 (0.766)	Data 0.001 (0.001)	Loss 2.2468 (2.2182)	Prec@1 42.969 (44.247)	Prec@5 75.781 (74.888)
Epoch: [39][10920/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.3224 (2.2182)	Prec@1 49.219 (44.248)	Prec@5 67.969 (74.889)
Epoch: [39][10930/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.2892 (2.2181)	Prec@1 41.406 (44.247)	Prec@5 73.438 (74.890)
Epoch: [39][10940/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.4721 (2.2182)	Prec@1 42.969 (44.249)	Prec@5 68.750 (74.889)
Epoch: [39][10950/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.4348 (2.2182)	Prec@1 38.281 (44.248)	Prec@5 75.000 (74.889)
Epoch: [39][10960/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.3779 (2.2183)	Prec@1 50.000 (44.248)	Prec@5 71.094 (74.887)
Epoch: [39][10970/14090]	Time 0.835 (0.766)	Data 0.001 (0.001)	Loss 2.0121 (2.2183)	Prec@1 47.656 (44.248)	Prec@5 78.906 (74.886)
Epoch: [39][10980/14090]	Time 0.776 (0.766)	Data 0.001 (0.001)	Loss 2.1145 (2.2182)	Prec@1 47.656 (44.250)	Prec@5 77.344 (74.886)
Epoch: [39][10990/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 2.4740 (2.2183)	Prec@1 35.156 (44.247)	Prec@5 67.969 (74.884)
Epoch: [39][11000/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.1595 (2.2184)	Prec@1 42.969 (44.246)	Prec@5 75.781 (74.883)
Epoch: [39][11010/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.4788 (2.2184)	Prec@1 37.500 (44.246)	Prec@5 67.969 (74.885)
Epoch: [39][11020/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.2400 (2.2183)	Prec@1 41.406 (44.248)	Prec@5 77.344 (74.886)
Epoch: [39][11030/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.1125 (2.2183)	Prec@1 44.531 (44.248)	Prec@5 75.781 (74.884)
Epoch: [39][11040/14090]	Time 0.866 (0.766)	Data 0.001 (0.001)	Loss 2.2121 (2.2183)	Prec@1 42.969 (44.247)	Prec@5 72.656 (74.885)
Epoch: [39][11050/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.0797 (2.2183)	Prec@1 51.562 (44.248)	Prec@5 79.688 (74.885)
Epoch: [39][11060/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 2.1606 (2.2184)	Prec@1 42.969 (44.246)	Prec@5 78.125 (74.883)
Epoch: [39][11070/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.1456 (2.2184)	Prec@1 44.531 (44.246)	Prec@5 77.344 (74.882)
Epoch: [39][11080/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.1895 (2.2185)	Prec@1 46.094 (44.244)	Prec@5 75.781 (74.880)
Epoch: [39][11090/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.4503 (2.2185)	Prec@1 39.844 (44.244)	Prec@5 70.312 (74.879)
Epoch: [39][11100/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.1853 (2.2186)	Prec@1 45.312 (44.243)	Prec@5 75.000 (74.880)
Epoch: [39][11110/14090]	Time 0.823 (0.766)	Data 0.001 (0.001)	Loss 2.0749 (2.2185)	Prec@1 44.531 (44.243)	Prec@5 78.906 (74.881)
Epoch: [39][11120/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.0422 (2.2185)	Prec@1 47.656 (44.241)	Prec@5 80.469 (74.882)
Epoch: [39][11130/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.3935 (2.2186)	Prec@1 39.062 (44.242)	Prec@5 72.656 (74.881)
Epoch: [39][11140/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 2.4330 (2.2186)	Prec@1 36.719 (44.241)	Prec@5 71.094 (74.880)
Epoch: [39][11150/14090]	Time 0.767 (0.766)	Data 0.001 (0.001)	Loss 2.4046 (2.2187)	Prec@1 37.500 (44.240)	Prec@5 72.656 (74.879)
Epoch: [39][11160/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 1.9993 (2.2187)	Prec@1 45.312 (44.239)	Prec@5 79.688 (74.879)
Epoch: [39][11170/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.6827 (2.2187)	Prec@1 34.375 (44.238)	Prec@5 65.625 (74.878)
Epoch: [39][11180/14090]	Time 0.863 (0.766)	Data 0.001 (0.001)	Loss 2.4744 (2.2187)	Prec@1 43.750 (44.237)	Prec@5 70.312 (74.877)
Epoch: [39][11190/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.3329 (2.2188)	Prec@1 43.750 (44.237)	Prec@5 70.312 (74.876)
Epoch: [39][11200/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.2898 (2.2187)	Prec@1 44.531 (44.237)	Prec@5 75.781 (74.877)
Epoch: [39][11210/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.0583 (2.2187)	Prec@1 48.438 (44.238)	Prec@5 74.219 (74.875)
Epoch: [39][11220/14090]	Time 0.724 (0.766)	Data 0.001 (0.001)	Loss 2.0449 (2.2187)	Prec@1 49.219 (44.240)	Prec@5 79.688 (74.876)
Epoch: [39][11230/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 2.1825 (2.2186)	Prec@1 43.750 (44.240)	Prec@5 75.000 (74.877)
Epoch: [39][11240/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.3128 (2.2187)	Prec@1 36.719 (44.239)	Prec@5 73.438 (74.876)
Epoch: [39][11250/14090]	Time 0.915 (0.766)	Data 0.001 (0.001)	Loss 2.3437 (2.2186)	Prec@1 43.750 (44.240)	Prec@5 73.438 (74.877)
Epoch: [39][11260/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.3173 (2.2187)	Prec@1 40.625 (44.240)	Prec@5 72.656 (74.875)
Epoch: [39][11270/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 2.3587 (2.2187)	Prec@1 40.625 (44.240)	Prec@5 71.875 (74.876)
Epoch: [39][11280/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.4353 (2.2187)	Prec@1 44.531 (44.241)	Prec@5 72.656 (74.876)
Epoch: [39][11290/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.1679 (2.2187)	Prec@1 43.750 (44.241)	Prec@5 75.000 (74.876)
Epoch: [39][11300/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.2964 (2.2187)	Prec@1 44.531 (44.242)	Prec@5 75.000 (74.876)
Epoch: [39][11310/14090]	Time 0.765 (0.766)	Data 0.001 (0.001)	Loss 2.6503 (2.2188)	Prec@1 40.625 (44.240)	Prec@5 65.625 (74.876)
Epoch: [39][11320/14090]	Time 0.887 (0.766)	Data 0.001 (0.001)	Loss 2.1708 (2.2188)	Prec@1 46.094 (44.240)	Prec@5 76.562 (74.874)
Epoch: [39][11330/14090]	Time 0.785 (0.766)	Data 0.001 (0.001)	Loss 2.7529 (2.2189)	Prec@1 32.031 (44.238)	Prec@5 61.719 (74.873)
Epoch: [39][11340/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 1.9564 (2.2188)	Prec@1 51.562 (44.239)	Prec@5 82.031 (74.875)
Epoch: [39][11350/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.0830 (2.2189)	Prec@1 49.219 (44.239)	Prec@5 76.562 (74.873)
Epoch: [39][11360/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.0169 (2.2188)	Prec@1 47.656 (44.240)	Prec@5 79.688 (74.875)
Epoch: [39][11370/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.3193 (2.2189)	Prec@1 39.844 (44.239)	Prec@5 71.094 (74.874)
Epoch: [39][11380/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 2.2953 (2.2189)	Prec@1 40.625 (44.239)	Prec@5 75.000 (74.874)
Epoch: [39][11390/14090]	Time 0.869 (0.766)	Data 0.001 (0.001)	Loss 2.6307 (2.2189)	Prec@1 32.812 (44.236)	Prec@5 64.062 (74.874)
Epoch: [39][11400/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.3172 (2.2188)	Prec@1 41.406 (44.237)	Prec@5 67.188 (74.875)
Epoch: [39][11410/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.5861 (2.2188)	Prec@1 43.750 (44.238)	Prec@5 67.188 (74.876)
Epoch: [39][11420/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.1466 (2.2189)	Prec@1 48.438 (44.235)	Prec@5 75.000 (74.874)
Epoch: [39][11430/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.3841 (2.2189)	Prec@1 44.531 (44.237)	Prec@5 72.656 (74.872)
Epoch: [39][11440/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.2847 (2.2189)	Prec@1 46.875 (44.238)	Prec@5 72.656 (74.871)
Epoch: [39][11450/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.1827 (2.2189)	Prec@1 43.750 (44.239)	Prec@5 78.906 (74.872)
Epoch: [39][11460/14090]	Time 0.886 (0.766)	Data 0.001 (0.001)	Loss 2.1442 (2.2189)	Prec@1 46.094 (44.239)	Prec@5 75.781 (74.872)
Epoch: [39][11470/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.0821 (2.2189)	Prec@1 50.781 (44.239)	Prec@5 78.125 (74.872)
Epoch: [39][11480/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.2046 (2.2190)	Prec@1 40.625 (44.238)	Prec@5 75.781 (74.872)
Epoch: [39][11490/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.1797 (2.2189)	Prec@1 45.312 (44.240)	Prec@5 78.125 (74.874)
Epoch: [39][11500/14090]	Time 0.754 (0.766)	Data 0.002 (0.001)	Loss 2.2409 (2.2189)	Prec@1 39.844 (44.239)	Prec@5 77.344 (74.874)
Epoch: [39][11510/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.1534 (2.2190)	Prec@1 39.062 (44.236)	Prec@5 75.781 (74.872)
Epoch: [39][11520/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.4104 (2.2191)	Prec@1 45.312 (44.237)	Prec@5 71.875 (74.871)
Epoch: [39][11530/14090]	Time 0.869 (0.766)	Data 0.001 (0.001)	Loss 2.3111 (2.2191)	Prec@1 42.188 (44.237)	Prec@5 73.438 (74.870)
Epoch: [39][11540/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.1015 (2.2191)	Prec@1 42.969 (44.236)	Prec@5 74.219 (74.869)
Epoch: [39][11550/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.1778 (2.2192)	Prec@1 46.875 (44.234)	Prec@5 74.219 (74.868)
Epoch: [39][11560/14090]	Time 0.779 (0.766)	Data 0.001 (0.001)	Loss 2.2215 (2.2192)	Prec@1 46.094 (44.233)	Prec@5 75.781 (74.868)
Epoch: [39][11570/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.3999 (2.2192)	Prec@1 39.844 (44.233)	Prec@5 68.750 (74.867)
Epoch: [39][11580/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.0892 (2.2192)	Prec@1 43.750 (44.234)	Prec@5 76.562 (74.867)
Epoch: [39][11590/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.2190 (2.2193)	Prec@1 39.844 (44.230)	Prec@5 75.000 (74.864)
Epoch: [39][11600/14090]	Time 0.891 (0.766)	Data 0.001 (0.001)	Loss 2.0737 (2.2193)	Prec@1 44.531 (44.230)	Prec@5 76.562 (74.864)
Epoch: [39][11610/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.0641 (2.2192)	Prec@1 50.000 (44.233)	Prec@5 78.906 (74.866)
Epoch: [39][11620/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.4409 (2.2192)	Prec@1 39.844 (44.234)	Prec@5 71.094 (74.867)
Epoch: [39][11630/14090]	Time 0.782 (0.766)	Data 0.001 (0.001)	Loss 2.1023 (2.2191)	Prec@1 42.188 (44.236)	Prec@5 79.688 (74.869)
Epoch: [39][11640/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.3535 (2.2190)	Prec@1 37.500 (44.236)	Prec@5 72.656 (74.870)
Epoch: [39][11650/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 2.1541 (2.2190)	Prec@1 46.094 (44.236)	Prec@5 67.969 (74.870)
Epoch: [39][11660/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.3420 (2.2191)	Prec@1 39.062 (44.236)	Prec@5 73.438 (74.869)
Epoch: [39][11670/14090]	Time 0.832 (0.766)	Data 0.001 (0.001)	Loss 2.3076 (2.2191)	Prec@1 39.062 (44.236)	Prec@5 71.875 (74.869)
Epoch: [39][11680/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.2658 (2.2192)	Prec@1 44.531 (44.236)	Prec@5 71.875 (74.869)
Epoch: [39][11690/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.1828 (2.2191)	Prec@1 45.312 (44.235)	Prec@5 77.344 (74.869)
Epoch: [39][11700/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.3667 (2.2192)	Prec@1 41.406 (44.235)	Prec@5 70.312 (74.868)
Epoch: [39][11710/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.5166 (2.2192)	Prec@1 42.188 (44.236)	Prec@5 68.750 (74.868)
Epoch: [39][11720/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.5495 (2.2192)	Prec@1 42.188 (44.236)	Prec@5 71.875 (74.868)
Epoch: [39][11730/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 1.8821 (2.2192)	Prec@1 53.906 (44.236)	Prec@5 79.688 (74.869)
Epoch: [39][11740/14090]	Time 0.862 (0.766)	Data 0.001 (0.001)	Loss 2.0789 (2.2192)	Prec@1 40.625 (44.235)	Prec@5 75.781 (74.867)
Epoch: [39][11750/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.5312 (2.2193)	Prec@1 38.281 (44.234)	Prec@5 67.969 (74.866)
Epoch: [39][11760/14090]	Time 0.777 (0.766)	Data 0.001 (0.001)	Loss 2.3904 (2.2193)	Prec@1 42.969 (44.234)	Prec@5 70.312 (74.865)
Epoch: [39][11770/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.1707 (2.2193)	Prec@1 43.750 (44.233)	Prec@5 77.344 (74.865)
Epoch: [39][11780/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 1.9896 (2.2192)	Prec@1 53.125 (44.235)	Prec@5 78.906 (74.867)
Epoch: [39][11790/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.1668 (2.2193)	Prec@1 39.062 (44.232)	Prec@5 76.562 (74.866)
Epoch: [39][11800/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 1.9188 (2.2193)	Prec@1 49.219 (44.233)	Prec@5 83.594 (74.867)
Epoch: [39][11810/14090]	Time 0.831 (0.766)	Data 0.001 (0.001)	Loss 2.1801 (2.2193)	Prec@1 45.312 (44.232)	Prec@5 76.562 (74.866)
Epoch: [39][11820/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.2828 (2.2193)	Prec@1 41.406 (44.233)	Prec@5 76.562 (74.867)
Epoch: [39][11830/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.4291 (2.2193)	Prec@1 42.188 (44.233)	Prec@5 72.656 (74.867)
Epoch: [39][11840/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.4164 (2.2193)	Prec@1 41.406 (44.232)	Prec@5 71.875 (74.866)
Epoch: [39][11850/14090]	Time 0.768 (0.766)	Data 0.001 (0.001)	Loss 2.3826 (2.2194)	Prec@1 44.531 (44.230)	Prec@5 72.656 (74.866)
Epoch: [39][11860/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.2080 (2.2194)	Prec@1 42.188 (44.229)	Prec@5 75.000 (74.864)
Epoch: [39][11870/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.7185 (2.2196)	Prec@1 32.812 (44.226)	Prec@5 69.531 (74.863)
Epoch: [39][11880/14090]	Time 0.872 (0.766)	Data 0.001 (0.001)	Loss 2.2896 (2.2196)	Prec@1 46.094 (44.225)	Prec@5 72.656 (74.863)
Epoch: [39][11890/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.4091 (2.2196)	Prec@1 38.281 (44.224)	Prec@5 76.562 (74.864)
Epoch: [39][11900/14090]	Time 0.767 (0.766)	Data 0.001 (0.001)	Loss 1.8943 (2.2196)	Prec@1 50.000 (44.226)	Prec@5 78.125 (74.864)
Epoch: [39][11910/14090]	Time 0.765 (0.766)	Data 0.001 (0.001)	Loss 2.2798 (2.2196)	Prec@1 43.750 (44.225)	Prec@5 76.562 (74.863)
Epoch: [39][11920/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.1657 (2.2197)	Prec@1 45.312 (44.223)	Prec@5 79.688 (74.863)
Epoch: [39][11930/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.2216 (2.2197)	Prec@1 46.094 (44.223)	Prec@5 79.688 (74.862)
Epoch: [39][11940/14090]	Time 0.767 (0.766)	Data 0.001 (0.001)	Loss 2.0143 (2.2196)	Prec@1 46.094 (44.224)	Prec@5 80.469 (74.864)
Epoch: [39][11950/14090]	Time 0.861 (0.766)	Data 0.001 (0.001)	Loss 2.3550 (2.2196)	Prec@1 40.625 (44.224)	Prec@5 67.969 (74.863)
Epoch: [39][11960/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.3103 (2.2197)	Prec@1 41.406 (44.223)	Prec@5 75.000 (74.862)
Epoch: [39][11970/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.1377 (2.2197)	Prec@1 49.219 (44.224)	Prec@5 72.656 (74.862)
Epoch: [39][11980/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.2745 (2.2196)	Prec@1 36.719 (44.225)	Prec@5 73.438 (74.863)
Epoch: [39][11990/14090]	Time 0.724 (0.766)	Data 0.001 (0.001)	Loss 2.4060 (2.2196)	Prec@1 39.844 (44.225)	Prec@5 70.312 (74.863)
Epoch: [39][12000/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.1227 (2.2195)	Prec@1 47.656 (44.227)	Prec@5 77.344 (74.864)
Epoch: [39][12010/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.2328 (2.2196)	Prec@1 46.094 (44.227)	Prec@5 74.219 (74.864)
Epoch: [39][12020/14090]	Time 0.913 (0.766)	Data 0.001 (0.001)	Loss 2.4045 (2.2195)	Prec@1 39.062 (44.227)	Prec@5 71.094 (74.865)
Epoch: [39][12030/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 1.8766 (2.2196)	Prec@1 47.656 (44.227)	Prec@5 79.688 (74.865)
Epoch: [39][12040/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.2516 (2.2196)	Prec@1 45.312 (44.227)	Prec@5 73.438 (74.863)
Epoch: [39][12050/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.1452 (2.2196)	Prec@1 44.531 (44.226)	Prec@5 76.562 (74.863)
Epoch: [39][12060/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.2852 (2.2196)	Prec@1 41.406 (44.227)	Prec@5 75.000 (74.862)
Epoch: [39][12070/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.2479 (2.2196)	Prec@1 42.969 (44.227)	Prec@5 70.312 (74.863)
Epoch: [39][12080/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 2.2949 (2.2196)	Prec@1 43.750 (44.226)	Prec@5 74.219 (74.864)
Epoch: [39][12090/14090]	Time 0.902 (0.766)	Data 0.001 (0.001)	Loss 2.3213 (2.2197)	Prec@1 43.750 (44.226)	Prec@5 73.438 (74.862)
Epoch: [39][12100/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.1769 (2.2197)	Prec@1 50.000 (44.226)	Prec@5 78.906 (74.863)
Epoch: [39][12110/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.2904 (2.2197)	Prec@1 46.094 (44.225)	Prec@5 75.000 (74.862)
Epoch: [39][12120/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.3664 (2.2197)	Prec@1 39.844 (44.226)	Prec@5 73.438 (74.864)
Epoch: [39][12130/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.4126 (2.2197)	Prec@1 44.531 (44.228)	Prec@5 74.219 (74.864)
Epoch: [39][12140/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.3567 (2.2198)	Prec@1 39.844 (44.226)	Prec@5 74.219 (74.862)
Epoch: [39][12150/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.1871 (2.2197)	Prec@1 46.094 (44.227)	Prec@5 77.344 (74.863)
Epoch: [39][12160/14090]	Time 0.854 (0.766)	Data 0.001 (0.001)	Loss 2.2352 (2.2198)	Prec@1 44.531 (44.225)	Prec@5 75.000 (74.861)
Epoch: [39][12170/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.5283 (2.2199)	Prec@1 35.156 (44.223)	Prec@5 67.969 (74.860)
Epoch: [39][12180/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.1117 (2.2199)	Prec@1 41.406 (44.221)	Prec@5 73.438 (74.860)
Epoch: [39][12190/14090]	Time 0.795 (0.766)	Data 0.001 (0.001)	Loss 2.4075 (2.2199)	Prec@1 39.062 (44.220)	Prec@5 75.000 (74.859)
Epoch: [39][12200/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 2.1909 (2.2199)	Prec@1 43.750 (44.220)	Prec@5 74.219 (74.859)
Epoch: [39][12210/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.3305 (2.2199)	Prec@1 45.312 (44.221)	Prec@5 75.000 (74.860)
Epoch: [39][12220/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.5011 (2.2199)	Prec@1 34.375 (44.220)	Prec@5 70.312 (74.859)
Epoch: [39][12230/14090]	Time 0.852 (0.766)	Data 0.001 (0.001)	Loss 1.8927 (2.2199)	Prec@1 50.781 (44.220)	Prec@5 77.344 (74.859)
Epoch: [39][12240/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.3090 (2.2199)	Prec@1 48.438 (44.219)	Prec@5 73.438 (74.859)
Epoch: [39][12250/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.1678 (2.2199)	Prec@1 42.969 (44.218)	Prec@5 70.312 (74.859)
Epoch: [39][12260/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 2.2774 (2.2199)	Prec@1 41.406 (44.218)	Prec@5 75.000 (74.860)
Epoch: [39][12270/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.3327 (2.2200)	Prec@1 48.438 (44.219)	Prec@5 76.562 (74.860)
Epoch: [39][12280/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.0637 (2.2200)	Prec@1 43.750 (44.217)	Prec@5 79.688 (74.859)
Epoch: [39][12290/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.1382 (2.2200)	Prec@1 45.312 (44.216)	Prec@5 75.000 (74.858)
Epoch: [39][12300/14090]	Time 1.030 (0.766)	Data 0.001 (0.001)	Loss 2.3406 (2.2200)	Prec@1 39.062 (44.215)	Prec@5 69.531 (74.858)
Epoch: [39][12310/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.3828 (2.2200)	Prec@1 46.094 (44.217)	Prec@5 73.438 (74.858)
Epoch: [39][12320/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.3745 (2.2201)	Prec@1 39.062 (44.214)	Prec@5 71.875 (74.857)
Epoch: [39][12330/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.0637 (2.2201)	Prec@1 46.875 (44.212)	Prec@5 80.469 (74.856)
Epoch: [39][12340/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.1854 (2.2201)	Prec@1 46.094 (44.213)	Prec@5 75.781 (74.857)
Epoch: [39][12350/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.1406 (2.2201)	Prec@1 46.875 (44.212)	Prec@5 75.000 (74.855)
Epoch: [39][12360/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.3532 (2.2201)	Prec@1 46.094 (44.212)	Prec@5 71.094 (74.856)
Epoch: [39][12370/14090]	Time 0.843 (0.766)	Data 0.001 (0.001)	Loss 2.0825 (2.2201)	Prec@1 47.656 (44.213)	Prec@5 75.781 (74.855)
Epoch: [39][12380/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.2010 (2.2201)	Prec@1 41.406 (44.214)	Prec@5 71.875 (74.855)
Epoch: [39][12390/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.2545 (2.2200)	Prec@1 38.281 (44.215)	Prec@5 71.094 (74.855)
Epoch: [39][12400/14090]	Time 0.774 (0.766)	Data 0.001 (0.001)	Loss 2.2841 (2.2200)	Prec@1 38.281 (44.215)	Prec@5 77.344 (74.857)
Epoch: [39][12410/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 1.8475 (2.2199)	Prec@1 53.125 (44.218)	Prec@5 78.125 (74.858)
Epoch: [39][12420/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.0798 (2.2199)	Prec@1 50.000 (44.217)	Prec@5 76.562 (74.858)
Epoch: [39][12430/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.1624 (2.2198)	Prec@1 45.312 (44.219)	Prec@5 74.219 (74.858)
Epoch: [39][12440/14090]	Time 0.893 (0.766)	Data 0.001 (0.001)	Loss 2.3417 (2.2198)	Prec@1 41.406 (44.219)	Prec@5 75.781 (74.859)
Epoch: [39][12450/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.3439 (2.2198)	Prec@1 39.844 (44.220)	Prec@5 71.875 (74.859)
Epoch: [39][12460/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.2720 (2.2198)	Prec@1 40.625 (44.218)	Prec@5 76.562 (74.858)
Epoch: [39][12470/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.1952 (2.2199)	Prec@1 39.844 (44.216)	Prec@5 76.562 (74.857)
Epoch: [39][12480/14090]	Time 0.776 (0.766)	Data 0.001 (0.001)	Loss 2.2813 (2.2199)	Prec@1 39.844 (44.215)	Prec@5 73.438 (74.857)
Epoch: [39][12490/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.2821 (2.2199)	Prec@1 42.969 (44.216)	Prec@5 75.781 (74.857)
Epoch: [39][12500/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.3368 (2.2199)	Prec@1 39.844 (44.215)	Prec@5 71.094 (74.857)
Epoch: [39][12510/14090]	Time 0.871 (0.766)	Data 0.001 (0.001)	Loss 2.3545 (2.2200)	Prec@1 39.844 (44.214)	Prec@5 68.750 (74.856)
Epoch: [39][12520/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.0850 (2.2199)	Prec@1 47.656 (44.215)	Prec@5 80.469 (74.856)
Epoch: [39][12530/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.1174 (2.2200)	Prec@1 47.656 (44.216)	Prec@5 72.656 (74.856)
Epoch: [39][12540/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.2225 (2.2200)	Prec@1 46.875 (44.216)	Prec@5 78.906 (74.855)
Epoch: [39][12550/14090]	Time 0.777 (0.765)	Data 0.001 (0.001)	Loss 2.4383 (2.2201)	Prec@1 42.188 (44.215)	Prec@5 72.656 (74.854)
Epoch: [39][12560/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.0599 (2.2201)	Prec@1 50.000 (44.215)	Prec@5 80.469 (74.854)
Epoch: [39][12570/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.4095 (2.2201)	Prec@1 38.281 (44.213)	Prec@5 72.656 (74.852)
Epoch: [39][12580/14090]	Time 0.864 (0.765)	Data 0.001 (0.001)	Loss 2.1536 (2.2202)	Prec@1 46.875 (44.212)	Prec@5 75.781 (74.852)
Epoch: [39][12590/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.2380 (2.2202)	Prec@1 46.875 (44.211)	Prec@5 75.000 (74.852)
Epoch: [39][12600/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.3581 (2.2203)	Prec@1 39.062 (44.211)	Prec@5 71.875 (74.851)
Epoch: [39][12610/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.4793 (2.2203)	Prec@1 34.375 (44.210)	Prec@5 65.625 (74.852)
Epoch: [39][12620/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.7406 (2.2203)	Prec@1 26.562 (44.208)	Prec@5 66.406 (74.850)
Epoch: [39][12630/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.5391 (2.2203)	Prec@1 38.281 (44.207)	Prec@5 67.188 (74.849)
Epoch: [39][12640/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.2631 (2.2203)	Prec@1 43.750 (44.206)	Prec@5 72.656 (74.849)
Epoch: [39][12650/14090]	Time 0.878 (0.765)	Data 0.001 (0.001)	Loss 2.1405 (2.2203)	Prec@1 39.844 (44.204)	Prec@5 70.312 (74.848)
Epoch: [39][12660/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.5557 (2.2204)	Prec@1 41.406 (44.202)	Prec@5 68.750 (74.847)
Epoch: [39][12670/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.1209 (2.2203)	Prec@1 47.656 (44.204)	Prec@5 72.656 (74.848)
Epoch: [39][12680/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.1956 (2.2204)	Prec@1 39.062 (44.201)	Prec@5 77.344 (74.848)
Epoch: [39][12690/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.2804 (2.2205)	Prec@1 39.844 (44.197)	Prec@5 76.562 (74.846)
Epoch: [39][12700/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.1266 (2.2205)	Prec@1 49.219 (44.200)	Prec@5 75.000 (74.846)
Epoch: [39][12710/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.3799 (2.2205)	Prec@1 41.406 (44.200)	Prec@5 71.875 (74.845)
Epoch: [39][12720/14090]	Time 0.839 (0.765)	Data 0.001 (0.001)	Loss 2.3884 (2.2205)	Prec@1 38.281 (44.200)	Prec@5 73.438 (74.846)
Epoch: [39][12730/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.2293 (2.2205)	Prec@1 46.094 (44.199)	Prec@5 76.562 (74.845)
Epoch: [39][12740/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 1.9698 (2.2205)	Prec@1 44.531 (44.198)	Prec@5 82.031 (74.846)
Epoch: [39][12750/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.3053 (2.2205)	Prec@1 42.969 (44.198)	Prec@5 78.125 (74.846)
Epoch: [39][12760/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.3648 (2.2205)	Prec@1 40.625 (44.197)	Prec@5 72.656 (74.846)
Epoch: [39][12770/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 1.9886 (2.2205)	Prec@1 42.188 (44.198)	Prec@5 78.125 (74.846)
Epoch: [39][12780/14090]	Time 0.771 (0.765)	Data 0.001 (0.001)	Loss 2.1036 (2.2205)	Prec@1 46.094 (44.198)	Prec@5 76.562 (74.845)
Epoch: [39][12790/14090]	Time 0.857 (0.765)	Data 0.001 (0.001)	Loss 2.3334 (2.2205)	Prec@1 44.531 (44.199)	Prec@5 71.094 (74.845)
Epoch: [39][12800/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.4812 (2.2205)	Prec@1 39.844 (44.200)	Prec@5 70.312 (74.846)
Epoch: [39][12810/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.2552 (2.2205)	Prec@1 44.531 (44.201)	Prec@5 77.344 (74.847)
Epoch: [39][12820/14090]	Time 0.788 (0.765)	Data 0.001 (0.001)	Loss 2.3469 (2.2205)	Prec@1 47.656 (44.201)	Prec@5 75.781 (74.847)
Epoch: [39][12830/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 2.3574 (2.2205)	Prec@1 42.188 (44.199)	Prec@5 71.875 (74.846)
Epoch: [39][12840/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.4223 (2.2206)	Prec@1 41.406 (44.199)	Prec@5 70.312 (74.845)
Epoch: [39][12850/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.3013 (2.2205)	Prec@1 42.188 (44.199)	Prec@5 71.094 (74.846)
Epoch: [39][12860/14090]	Time 0.856 (0.765)	Data 0.001 (0.001)	Loss 2.4767 (2.2206)	Prec@1 35.938 (44.196)	Prec@5 69.531 (74.843)
Epoch: [39][12870/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 2.2599 (2.2207)	Prec@1 45.312 (44.196)	Prec@5 75.781 (74.843)
Epoch: [39][12880/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.3618 (2.2207)	Prec@1 47.656 (44.197)	Prec@5 70.312 (74.842)
Epoch: [39][12890/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.1278 (2.2206)	Prec@1 46.094 (44.198)	Prec@5 75.000 (74.843)
Epoch: [39][12900/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.1256 (2.2206)	Prec@1 43.750 (44.198)	Prec@5 75.000 (74.844)
Epoch: [39][12910/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.2732 (2.2206)	Prec@1 39.062 (44.197)	Prec@5 73.438 (74.842)
Epoch: [39][12920/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.1976 (2.2207)	Prec@1 45.312 (44.195)	Prec@5 74.219 (74.842)
Epoch: [39][12930/14090]	Time 0.855 (0.766)	Data 0.001 (0.001)	Loss 2.0084 (2.2207)	Prec@1 53.906 (44.197)	Prec@5 78.125 (74.842)
Epoch: [39][12940/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.3365 (2.2207)	Prec@1 39.844 (44.197)	Prec@5 71.094 (74.841)
Epoch: [39][12950/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.0436 (2.2207)	Prec@1 42.188 (44.196)	Prec@5 82.031 (74.840)
Epoch: [39][12960/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.1225 (2.2207)	Prec@1 44.531 (44.197)	Prec@5 74.219 (74.839)
Epoch: [39][12970/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.3316 (2.2207)	Prec@1 35.938 (44.197)	Prec@5 73.438 (74.840)
Epoch: [39][12980/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.1127 (2.2207)	Prec@1 48.438 (44.198)	Prec@5 78.125 (74.839)
Epoch: [39][12990/14090]	Time 0.767 (0.766)	Data 0.001 (0.001)	Loss 2.2354 (2.2207)	Prec@1 46.875 (44.197)	Prec@5 75.781 (74.838)
Epoch: [39][13000/14090]	Time 0.883 (0.766)	Data 0.001 (0.001)	Loss 2.2446 (2.2207)	Prec@1 40.625 (44.197)	Prec@5 74.219 (74.838)
Epoch: [39][13010/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.0860 (2.2208)	Prec@1 51.562 (44.196)	Prec@5 75.781 (74.837)
Epoch: [39][13020/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.1433 (2.2207)	Prec@1 42.188 (44.195)	Prec@5 78.906 (74.838)
Epoch: [39][13030/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.4268 (2.2207)	Prec@1 39.844 (44.196)	Prec@5 71.875 (74.838)
Epoch: [39][13040/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.2455 (2.2207)	Prec@1 39.844 (44.194)	Prec@5 73.438 (74.837)
Epoch: [39][13050/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.2735 (2.2207)	Prec@1 40.625 (44.194)	Prec@5 76.562 (74.837)
Epoch: [39][13060/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 2.3092 (2.2207)	Prec@1 41.406 (44.195)	Prec@5 76.562 (74.838)
Epoch: [39][13070/14090]	Time 0.879 (0.766)	Data 0.001 (0.001)	Loss 2.5211 (2.2208)	Prec@1 41.406 (44.192)	Prec@5 68.750 (74.836)
Epoch: [39][13080/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 2.2079 (2.2208)	Prec@1 43.750 (44.193)	Prec@5 77.344 (74.835)
Epoch: [39][13090/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.1118 (2.2208)	Prec@1 45.312 (44.194)	Prec@5 74.219 (74.836)
Epoch: [39][13100/14090]	Time 0.789 (0.766)	Data 0.001 (0.001)	Loss 1.9955 (2.2208)	Prec@1 46.875 (44.194)	Prec@5 78.125 (74.835)
Epoch: [39][13110/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.4130 (2.2208)	Prec@1 39.844 (44.195)	Prec@5 71.875 (74.837)
Epoch: [39][13120/14090]	Time 0.768 (0.766)	Data 0.001 (0.001)	Loss 2.0832 (2.2207)	Prec@1 54.688 (44.197)	Prec@5 80.469 (74.837)
Epoch: [39][13130/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.3861 (2.2207)	Prec@1 45.312 (44.197)	Prec@5 71.875 (74.837)
Epoch: [39][13140/14090]	Time 0.953 (0.766)	Data 0.001 (0.001)	Loss 2.3297 (2.2208)	Prec@1 42.969 (44.197)	Prec@5 75.781 (74.837)
Epoch: [39][13150/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.1990 (2.2208)	Prec@1 40.625 (44.195)	Prec@5 75.781 (74.836)
Epoch: [39][13160/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.3061 (2.2207)	Prec@1 41.406 (44.196)	Prec@5 71.875 (74.836)
Epoch: [39][13170/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.3520 (2.2207)	Prec@1 42.188 (44.198)	Prec@5 73.438 (74.837)
Epoch: [39][13180/14090]	Time 0.767 (0.766)	Data 0.001 (0.001)	Loss 2.6411 (2.2208)	Prec@1 37.500 (44.196)	Prec@5 64.062 (74.836)
Epoch: [39][13190/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 2.2251 (2.2208)	Prec@1 43.750 (44.196)	Prec@5 72.656 (74.834)
Epoch: [39][13200/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.4099 (2.2208)	Prec@1 41.406 (44.196)	Prec@5 71.875 (74.835)
Epoch: [39][13210/14090]	Time 0.850 (0.766)	Data 0.001 (0.001)	Loss 1.8642 (2.2207)	Prec@1 50.781 (44.197)	Prec@5 80.469 (74.836)
Epoch: [39][13220/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.4095 (2.2207)	Prec@1 46.094 (44.197)	Prec@5 70.312 (74.836)
Epoch: [39][13230/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.2694 (2.2208)	Prec@1 44.531 (44.196)	Prec@5 75.781 (74.835)
Epoch: [39][13240/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.2124 (2.2207)	Prec@1 41.406 (44.198)	Prec@5 74.219 (74.837)
Epoch: [39][13250/14090]	Time 0.723 (0.766)	Data 0.001 (0.001)	Loss 2.2978 (2.2207)	Prec@1 45.312 (44.199)	Prec@5 69.531 (74.836)
Epoch: [39][13260/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 2.3439 (2.2207)	Prec@1 39.844 (44.199)	Prec@5 71.875 (74.836)
Epoch: [39][13270/14090]	Time 0.780 (0.766)	Data 0.001 (0.001)	Loss 2.3638 (2.2207)	Prec@1 42.188 (44.199)	Prec@5 72.656 (74.837)
Epoch: [39][13280/14090]	Time 0.884 (0.766)	Data 0.001 (0.001)	Loss 2.0886 (2.2207)	Prec@1 44.531 (44.199)	Prec@5 78.906 (74.836)
Epoch: [39][13290/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 2.2144 (2.2207)	Prec@1 43.750 (44.199)	Prec@5 73.438 (74.836)
Epoch: [39][13300/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.0603 (2.2208)	Prec@1 50.000 (44.200)	Prec@5 78.906 (74.835)
Epoch: [39][13310/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.1334 (2.2207)	Prec@1 41.406 (44.201)	Prec@5 83.594 (74.837)
Epoch: [39][13320/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.0735 (2.2207)	Prec@1 49.219 (44.201)	Prec@5 77.344 (74.837)
Epoch: [39][13330/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.1369 (2.2207)	Prec@1 43.750 (44.201)	Prec@5 74.219 (74.837)
Epoch: [39][13340/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 1.9960 (2.2207)	Prec@1 41.406 (44.200)	Prec@5 82.031 (74.837)
Epoch: [39][13350/14090]	Time 0.850 (0.766)	Data 0.001 (0.001)	Loss 1.9453 (2.2207)	Prec@1 50.781 (44.201)	Prec@5 79.688 (74.839)
Epoch: [39][13360/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.1126 (2.2207)	Prec@1 40.625 (44.202)	Prec@5 81.250 (74.838)
Epoch: [39][13370/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.2910 (2.2207)	Prec@1 38.281 (44.201)	Prec@5 74.219 (74.838)
Epoch: [39][13380/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.1708 (2.2207)	Prec@1 48.438 (44.200)	Prec@5 73.438 (74.837)
Epoch: [39][13390/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.1642 (2.2207)	Prec@1 50.000 (44.201)	Prec@5 77.344 (74.839)
Epoch: [39][13400/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.3061 (2.2207)	Prec@1 42.188 (44.202)	Prec@5 71.094 (74.837)
Epoch: [39][13410/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.4678 (2.2207)	Prec@1 40.625 (44.201)	Prec@5 69.531 (74.836)
Epoch: [39][13420/14090]	Time 0.813 (0.766)	Data 0.001 (0.001)	Loss 1.8766 (2.2206)	Prec@1 50.000 (44.203)	Prec@5 78.906 (74.838)
Epoch: [39][13430/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.3180 (2.2207)	Prec@1 40.625 (44.203)	Prec@5 73.438 (74.838)
Epoch: [39][13440/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 2.0411 (2.2206)	Prec@1 46.094 (44.203)	Prec@5 78.125 (74.839)
Epoch: [39][13450/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.0422 (2.2206)	Prec@1 50.781 (44.204)	Prec@5 79.688 (74.839)
Epoch: [39][13460/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.2624 (2.2206)	Prec@1 39.844 (44.202)	Prec@5 71.094 (74.838)
Epoch: [39][13470/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.3546 (2.2206)	Prec@1 41.406 (44.202)	Prec@5 71.875 (74.839)
Epoch: [39][13480/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.0338 (2.2206)	Prec@1 47.656 (44.203)	Prec@5 82.812 (74.839)
Epoch: [39][13490/14090]	Time 0.869 (0.766)	Data 0.001 (0.001)	Loss 2.0503 (2.2206)	Prec@1 46.094 (44.204)	Prec@5 82.812 (74.840)
Epoch: [39][13500/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.2374 (2.2206)	Prec@1 42.188 (44.203)	Prec@5 76.562 (74.839)
Epoch: [39][13510/14090]	Time 0.770 (0.766)	Data 0.001 (0.001)	Loss 2.1613 (2.2206)	Prec@1 41.406 (44.203)	Prec@5 78.906 (74.840)
Epoch: [39][13520/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.0583 (2.2206)	Prec@1 50.000 (44.202)	Prec@5 77.344 (74.838)
Epoch: [39][13530/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.0348 (2.2207)	Prec@1 46.094 (44.200)	Prec@5 76.562 (74.837)
Epoch: [39][13540/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.4696 (2.2207)	Prec@1 43.750 (44.200)	Prec@5 65.625 (74.837)
Epoch: [39][13550/14090]	Time 0.773 (0.766)	Data 0.001 (0.001)	Loss 2.2077 (2.2208)	Prec@1 41.406 (44.200)	Prec@5 72.656 (74.836)
Epoch: [39][13560/14090]	Time 0.860 (0.766)	Data 0.001 (0.001)	Loss 2.2865 (2.2208)	Prec@1 43.750 (44.198)	Prec@5 74.219 (74.836)
Epoch: [39][13570/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.0670 (2.2208)	Prec@1 47.656 (44.199)	Prec@5 77.344 (74.837)
Epoch: [39][13580/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.4793 (2.2208)	Prec@1 37.500 (44.197)	Prec@5 66.406 (74.836)
Epoch: [39][13590/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 2.1497 (2.2208)	Prec@1 45.312 (44.197)	Prec@5 75.000 (74.837)
Epoch: [39][13600/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.3970 (2.2208)	Prec@1 37.500 (44.196)	Prec@5 78.906 (74.837)
Epoch: [39][13610/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.1087 (2.2209)	Prec@1 46.094 (44.196)	Prec@5 74.219 (74.836)
Epoch: [39][13620/14090]	Time 0.784 (0.766)	Data 0.001 (0.001)	Loss 2.5329 (2.2208)	Prec@1 35.156 (44.196)	Prec@5 68.750 (74.837)
Epoch: [39][13630/14090]	Time 0.827 (0.766)	Data 0.001 (0.001)	Loss 1.8997 (2.2208)	Prec@1 47.656 (44.195)	Prec@5 80.469 (74.838)
Epoch: [39][13640/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.0525 (2.2208)	Prec@1 52.344 (44.197)	Prec@5 78.125 (74.840)
Epoch: [39][13650/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.2018 (2.2207)	Prec@1 42.969 (44.198)	Prec@5 78.125 (74.841)
Epoch: [39][13660/14090]	Time 0.722 (0.766)	Data 0.001 (0.001)	Loss 2.2879 (2.2207)	Prec@1 39.062 (44.198)	Prec@5 72.656 (74.841)
Epoch: [39][13670/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.0787 (2.2207)	Prec@1 48.438 (44.197)	Prec@5 78.125 (74.841)
Epoch: [39][13680/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.0524 (2.2207)	Prec@1 45.312 (44.199)	Prec@5 78.906 (74.843)
Epoch: [39][13690/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.5005 (2.2207)	Prec@1 36.719 (44.199)	Prec@5 67.969 (74.842)
Epoch: [39][13700/14090]	Time 0.911 (0.766)	Data 0.001 (0.001)	Loss 2.2124 (2.2208)	Prec@1 44.531 (44.198)	Prec@5 78.125 (74.841)
Epoch: [39][13710/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.2567 (2.2207)	Prec@1 46.875 (44.199)	Prec@5 75.781 (74.842)
Epoch: [39][13720/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.4313 (2.2207)	Prec@1 34.375 (44.198)	Prec@5 73.438 (74.842)
Epoch: [39][13730/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.2186 (2.2208)	Prec@1 40.625 (44.197)	Prec@5 78.125 (74.842)
Epoch: [39][13740/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 1.9230 (2.2207)	Prec@1 49.219 (44.197)	Prec@5 80.469 (74.842)
Epoch: [39][13750/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.1305 (2.2207)	Prec@1 43.750 (44.197)	Prec@5 77.344 (74.843)
Epoch: [39][13760/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.3333 (2.2207)	Prec@1 39.844 (44.197)	Prec@5 74.219 (74.842)
Epoch: [39][13770/14090]	Time 0.868 (0.766)	Data 0.001 (0.001)	Loss 2.0703 (2.2208)	Prec@1 48.438 (44.197)	Prec@5 78.125 (74.841)
Epoch: [39][13780/14090]	Time 0.765 (0.766)	Data 0.001 (0.001)	Loss 2.1883 (2.2208)	Prec@1 47.656 (44.197)	Prec@5 74.219 (74.841)
Epoch: [39][13790/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.4134 (2.2208)	Prec@1 42.188 (44.198)	Prec@5 71.875 (74.840)
Epoch: [39][13800/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 1.9851 (2.2208)	Prec@1 49.219 (44.197)	Prec@5 77.344 (74.839)
Epoch: [39][13810/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.0864 (2.2208)	Prec@1 49.219 (44.198)	Prec@5 75.000 (74.839)
Epoch: [39][13820/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.1832 (2.2208)	Prec@1 45.312 (44.198)	Prec@5 77.344 (74.839)
Epoch: [39][13830/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.4544 (2.2209)	Prec@1 41.406 (44.197)	Prec@5 68.750 (74.837)
Epoch: [39][13840/14090]	Time 0.995 (0.766)	Data 0.001 (0.001)	Loss 2.1018 (2.2209)	Prec@1 46.875 (44.197)	Prec@5 78.906 (74.838)
Epoch: [39][13850/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.1153 (2.2208)	Prec@1 43.750 (44.198)	Prec@5 79.688 (74.838)
Epoch: [39][13860/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.2093 (2.2208)	Prec@1 38.281 (44.198)	Prec@5 75.000 (74.839)
Epoch: [39][13870/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.1283 (2.2208)	Prec@1 39.062 (44.198)	Prec@5 76.562 (74.838)
Epoch: [39][13880/14090]	Time 0.772 (0.766)	Data 0.001 (0.001)	Loss 2.2794 (2.2209)	Prec@1 39.844 (44.197)	Prec@5 79.688 (74.836)
Epoch: [39][13890/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.1980 (2.2210)	Prec@1 42.188 (44.195)	Prec@5 71.094 (74.834)
Epoch: [39][13900/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.2175 (2.2210)	Prec@1 46.094 (44.195)	Prec@5 73.438 (74.833)
Epoch: [39][13910/14090]	Time 0.845 (0.766)	Data 0.001 (0.001)	Loss 2.0655 (2.2210)	Prec@1 47.656 (44.195)	Prec@5 73.438 (74.833)
Epoch: [39][13920/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.2306 (2.2210)	Prec@1 42.969 (44.195)	Prec@5 67.188 (74.833)
Epoch: [39][13930/14090]	Time 0.719 (0.766)	Data 0.001 (0.001)	Loss 2.1060 (2.2210)	Prec@1 43.750 (44.193)	Prec@5 75.000 (74.833)
Epoch: [39][13940/14090]	Time 0.771 (0.766)	Data 0.001 (0.001)	Loss 2.4244 (2.2210)	Prec@1 38.281 (44.192)	Prec@5 67.969 (74.832)
Epoch: [39][13950/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 1.7885 (2.2209)	Prec@1 49.219 (44.194)	Prec@5 85.156 (74.835)
Epoch: [39][13960/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 1.9836 (2.2209)	Prec@1 48.438 (44.194)	Prec@5 78.906 (74.835)
Epoch: [39][13970/14090]	Time 0.774 (0.766)	Data 0.001 (0.001)	Loss 2.0695 (2.2209)	Prec@1 50.000 (44.194)	Prec@5 79.688 (74.835)
Epoch: [39][13980/14090]	Time 0.818 (0.766)	Data 0.001 (0.001)	Loss 2.4502 (2.2210)	Prec@1 39.062 (44.193)	Prec@5 67.188 (74.835)
Epoch: [39][13990/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.5828 (2.2211)	Prec@1 42.969 (44.191)	Prec@5 68.750 (74.833)
Epoch: [39][14000/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.1045 (2.2211)	Prec@1 45.312 (44.190)	Prec@5 78.906 (74.833)
Epoch: [39][14010/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.2519 (2.2211)	Prec@1 46.094 (44.190)	Prec@5 75.781 (74.833)
Epoch: [39][14020/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.2315 (2.2211)	Prec@1 46.094 (44.190)	Prec@5 75.000 (74.831)
Epoch: [39][14030/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 2.4002 (2.2211)	Prec@1 39.844 (44.190)	Prec@5 68.750 (74.832)
Epoch: [39][14040/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 1.9301 (2.2211)	Prec@1 50.781 (44.192)	Prec@5 80.469 (74.833)
Epoch: [39][14050/14090]	Time 0.822 (0.766)	Data 0.001 (0.001)	Loss 2.0940 (2.2210)	Prec@1 48.438 (44.193)	Prec@5 75.781 (74.834)
Epoch: [39][14060/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.5329 (2.2211)	Prec@1 42.188 (44.192)	Prec@5 68.750 (74.832)
Epoch: [39][14070/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.5081 (2.2211)	Prec@1 37.500 (44.191)	Prec@5 69.531 (74.832)
Epoch: [39][14080/14090]	Time 0.745 (0.766)	Data 0.000 (0.001)	Loss 2.5206 (2.2211)	Prec@1 35.156 (44.193)	Prec@5 76.562 (74.832)
Test: [0/286]	Time 4.197 (4.197)	Loss 1.2773 (1.2773)	Prec@1 64.062 (64.062)	Prec@5 93.750 (93.750)
Test: [10/286]	Time 0.290 (0.709)	Loss 2.0636 (2.1231)	Prec@1 43.750 (46.378)	Prec@5 82.031 (79.545)
Test: [20/286]	Time 0.224 (0.546)	Loss 1.5532 (1.9564)	Prec@1 57.812 (49.256)	Prec@5 89.062 (82.254)
Test: [30/286]	Time 0.230 (0.486)	Loss 1.9315 (1.8657)	Prec@1 50.000 (51.815)	Prec@5 82.812 (82.460)
Test: [40/286]	Time 1.280 (0.480)	Loss 1.6956 (1.8580)	Prec@1 49.219 (51.543)	Prec@5 86.719 (83.003)
Test: [50/286]	Time 0.255 (0.458)	Loss 0.5731 (1.8455)	Prec@1 85.938 (51.762)	Prec@5 94.531 (83.165)
Test: [60/286]	Time 0.286 (0.443)	Loss 2.9969 (1.8821)	Prec@1 35.938 (51.383)	Prec@5 62.500 (81.890)
Test: [70/286]	Time 0.256 (0.434)	Loss 1.3577 (1.8569)	Prec@1 67.969 (51.761)	Prec@5 89.844 (82.218)
Test: [80/286]	Time 1.157 (0.435)	Loss 2.0908 (1.8879)	Prec@1 42.188 (50.637)	Prec@5 79.688 (81.713)
Test: [90/286]	Time 0.286 (0.430)	Loss 2.1875 (1.9047)	Prec@1 45.312 (50.197)	Prec@5 82.031 (81.593)
Test: [100/286]	Time 0.257 (0.424)	Loss 2.6651 (1.9117)	Prec@1 22.656 (49.745)	Prec@5 76.562 (81.706)
Test: [110/286]	Time 0.290 (0.419)	Loss 2.5645 (1.9311)	Prec@1 35.156 (49.310)	Prec@5 71.875 (81.482)
Test: [120/286]	Time 1.250 (0.423)	Loss 1.5099 (1.9123)	Prec@1 64.062 (49.897)	Prec@5 81.250 (81.721)
Test: [130/286]	Time 0.392 (0.419)	Loss 0.9888 (1.8994)	Prec@1 69.531 (50.233)	Prec@5 91.406 (81.834)
Test: [140/286]	Time 0.252 (0.415)	Loss 2.4047 (1.8959)	Prec@1 44.531 (50.305)	Prec@5 71.094 (81.882)
Test: [150/286]	Time 0.259 (0.412)	Loss 2.6453 (1.9105)	Prec@1 32.812 (49.819)	Prec@5 74.219 (81.762)
Test: [160/286]	Time 1.298 (0.415)	Loss 3.1075 (1.9073)	Prec@1 21.875 (49.932)	Prec@5 57.031 (81.667)
Test: [170/286]	Time 0.227 (0.412)	Loss 1.9360 (1.9027)	Prec@1 48.438 (49.950)	Prec@5 82.812 (81.684)
Test: [180/286]	Time 0.230 (0.410)	Loss 2.4543 (1.9139)	Prec@1 49.219 (49.767)	Prec@5 68.750 (81.552)
Test: [190/286]	Time 0.229 (0.408)	Loss 2.8041 (1.9323)	Prec@1 20.312 (49.456)	Prec@5 79.688 (81.401)
Test: [200/286]	Time 1.168 (0.411)	Loss 1.5502 (1.9193)	Prec@1 66.406 (49.806)	Prec@5 89.844 (81.510)
Test: [210/286]	Time 0.315 (0.409)	Loss 2.2157 (1.9277)	Prec@1 42.969 (49.615)	Prec@5 82.031 (81.409)
Test: [220/286]	Time 0.303 (0.408)	Loss 3.0161 (1.9373)	Prec@1 18.750 (49.452)	Prec@5 65.625 (81.232)
Test: [230/286]	Time 0.227 (0.406)	Loss 1.2283 (1.9326)	Prec@1 67.188 (49.608)	Prec@5 88.281 (81.267)
Test: [240/286]	Time 0.768 (0.409)	Loss 2.1348 (1.9278)	Prec@1 46.875 (49.818)	Prec@5 81.250 (81.334)
Test: [250/286]	Time 0.230 (0.407)	Loss 2.1055 (1.9199)	Prec@1 40.625 (49.823)	Prec@5 80.469 (81.574)
Test: [260/286]	Time 0.331 (0.406)	Loss 1.7944 (1.9109)	Prec@1 56.250 (50.042)	Prec@5 86.719 (81.741)
Test: [270/286]	Time 0.224 (0.404)	Loss 1.3629 (1.9137)	Prec@1 66.406 (50.037)	Prec@5 85.156 (81.743)
Test: [280/286]	Time 0.287 (0.407)	Loss 2.0164 (1.8941)	Prec@1 48.438 (50.637)	Prec@5 85.156 (81.970)
 * Prec@1 50.733 Prec@5 81.989
Epoch: [40][0/14090]	Time 5.808 (5.808)	Data 5.016 (5.016)	Loss 2.4502 (2.4502)	Prec@1 39.062 (39.062)	Prec@5 69.531 (69.531)
Epoch: [40][10/14090]	Time 0.751 (1.198)	Data 0.001 (0.457)	Loss 2.2340 (2.2539)	Prec@1 42.188 (43.750)	Prec@5 71.094 (74.787)
Epoch: [40][20/14090]	Time 0.899 (0.989)	Data 0.001 (0.240)	Loss 2.2295 (2.2423)	Prec@1 46.094 (43.824)	Prec@5 74.219 (74.702)
Epoch: [40][30/14090]	Time 0.723 (0.912)	Data 0.001 (0.163)	Loss 2.2212 (2.2340)	Prec@1 46.094 (43.901)	Prec@5 77.344 (74.798)
Epoch: [40][40/14090]	Time 0.725 (0.872)	Data 0.001 (0.123)	Loss 1.9557 (2.2069)	Prec@1 49.219 (44.379)	Prec@5 81.250 (75.534)
Epoch: [40][50/14090]	Time 0.755 (0.853)	Data 0.001 (0.099)	Loss 2.2679 (2.1919)	Prec@1 43.750 (44.868)	Prec@5 74.219 (75.659)
Epoch: [40][60/14090]	Time 0.761 (0.838)	Data 0.001 (0.083)	Loss 2.3543 (2.1943)	Prec@1 43.750 (44.813)	Prec@5 72.656 (75.628)
Epoch: [40][70/14090]	Time 0.743 (0.828)	Data 0.001 (0.071)	Loss 2.1147 (2.2024)	Prec@1 46.094 (44.751)	Prec@5 75.781 (75.451)
Epoch: [40][80/14090]	Time 0.749 (0.820)	Data 0.001 (0.063)	Loss 2.5490 (2.2110)	Prec@1 35.156 (44.637)	Prec@5 71.875 (75.212)
Epoch: [40][90/14090]	Time 0.852 (0.815)	Data 0.001 (0.056)	Loss 2.1631 (2.2040)	Prec@1 48.438 (44.875)	Prec@5 75.000 (75.352)
Epoch: [40][100/14090]	Time 0.752 (0.810)	Data 0.001 (0.050)	Loss 2.0454 (2.2015)	Prec@1 52.344 (44.926)	Prec@5 75.000 (75.271)
Epoch: [40][110/14090]	Time 0.745 (0.805)	Data 0.001 (0.046)	Loss 2.2059 (2.2025)	Prec@1 49.219 (44.925)	Prec@5 74.219 (75.289)
Epoch: [40][120/14090]	Time 0.746 (0.802)	Data 0.001 (0.042)	Loss 2.3169 (2.1967)	Prec@1 42.188 (45.132)	Prec@5 72.656 (75.291)
Epoch: [40][130/14090]	Time 0.731 (0.800)	Data 0.001 (0.039)	Loss 2.2763 (2.2026)	Prec@1 46.875 (45.086)	Prec@5 75.000 (75.209)
Epoch: [40][140/14090]	Time 0.773 (0.798)	Data 0.001 (0.036)	Loss 2.3039 (2.2032)	Prec@1 42.969 (45.041)	Prec@5 75.000 (75.188)
Epoch: [40][150/14090]	Time 0.758 (0.796)	Data 0.001 (0.034)	Loss 2.3184 (2.2070)	Prec@1 38.281 (44.961)	Prec@5 73.438 (75.067)
Epoch: [40][160/14090]	Time 0.868 (0.795)	Data 0.001 (0.032)	Loss 2.1345 (2.2134)	Prec@1 43.750 (44.808)	Prec@5 77.344 (74.937)
Epoch: [40][170/14090]	Time 0.749 (0.793)	Data 0.001 (0.030)	Loss 2.2262 (2.2102)	Prec@1 46.875 (44.970)	Prec@5 77.344 (74.963)
Epoch: [40][180/14090]	Time 0.753 (0.791)	Data 0.003 (0.029)	Loss 2.1074 (2.2085)	Prec@1 47.656 (44.894)	Prec@5 75.000 (75.000)
Epoch: [40][190/14090]	Time 0.746 (0.791)	Data 0.001 (0.027)	Loss 2.1968 (2.2108)	Prec@1 43.750 (44.883)	Prec@5 72.656 (74.955)
Epoch: [40][200/14090]	Time 0.744 (0.790)	Data 0.001 (0.026)	Loss 2.1427 (2.2087)	Prec@1 39.844 (44.850)	Prec@5 78.125 (75.012)
Epoch: [40][210/14090]	Time 0.770 (0.789)	Data 0.001 (0.025)	Loss 2.3837 (2.2077)	Prec@1 42.969 (44.816)	Prec@5 72.656 (75.015)
Epoch: [40][220/14090]	Time 0.755 (0.788)	Data 0.001 (0.024)	Loss 2.1175 (2.2097)	Prec@1 44.531 (44.747)	Prec@5 77.344 (75.021)
Epoch: [40][230/14090]	Time 0.860 (0.787)	Data 0.001 (0.023)	Loss 2.0332 (2.2107)	Prec@1 49.219 (44.717)	Prec@5 75.781 (74.980)
Epoch: [40][240/14090]	Time 0.753 (0.786)	Data 0.001 (0.022)	Loss 2.5347 (2.2137)	Prec@1 44.531 (44.690)	Prec@5 63.281 (74.900)
Epoch: [40][250/14090]	Time 0.745 (0.785)	Data 0.001 (0.021)	Loss 1.9332 (2.2111)	Prec@1 47.656 (44.668)	Prec@5 79.688 (74.953)
Epoch: [40][260/14090]	Time 0.761 (0.785)	Data 0.001 (0.020)	Loss 1.8827 (2.2068)	Prec@1 50.781 (44.765)	Prec@5 79.688 (75.012)
Epoch: [40][270/14090]	Time 0.770 (0.784)	Data 0.001 (0.019)	Loss 2.0254 (2.2079)	Prec@1 46.094 (44.765)	Prec@5 79.688 (74.963)
Epoch: [40][280/14090]	Time 0.749 (0.784)	Data 0.001 (0.019)	Loss 2.1667 (2.2072)	Prec@1 44.531 (44.745)	Prec@5 76.562 (74.978)
Epoch: [40][290/14090]	Time 0.745 (0.782)	Data 0.001 (0.018)	Loss 1.9856 (2.2046)	Prec@1 46.094 (44.759)	Prec@5 79.688 (75.032)
Epoch: [40][300/14090]	Time 0.884 (0.782)	Data 0.001 (0.017)	Loss 2.3086 (2.2054)	Prec@1 39.844 (44.705)	Prec@5 70.312 (75.031)
Epoch: [40][310/14090]	Time 0.759 (0.782)	Data 0.001 (0.017)	Loss 2.1181 (2.2032)	Prec@1 47.656 (44.762)	Prec@5 75.781 (75.053)
Epoch: [40][320/14090]	Time 0.738 (0.781)	Data 0.001 (0.016)	Loss 2.2639 (2.2041)	Prec@1 42.969 (44.724)	Prec@5 73.438 (75.039)
Epoch: [40][330/14090]	Time 0.773 (0.781)	Data 0.001 (0.016)	Loss 2.3160 (2.2043)	Prec@1 43.750 (44.704)	Prec@5 76.562 (75.092)
Epoch: [40][340/14090]	Time 0.751 (0.781)	Data 0.001 (0.016)	Loss 2.1051 (2.2059)	Prec@1 41.406 (44.650)	Prec@5 79.688 (75.055)
Epoch: [40][350/14090]	Time 0.758 (0.781)	Data 0.001 (0.015)	Loss 2.3347 (2.2060)	Prec@1 34.375 (44.663)	Prec@5 70.312 (75.042)
Epoch: [40][360/14090]	Time 0.746 (0.780)	Data 0.001 (0.015)	Loss 2.4336 (2.2079)	Prec@1 39.062 (44.607)	Prec@5 72.656 (75.030)
Epoch: [40][370/14090]	Time 0.845 (0.780)	Data 0.001 (0.014)	Loss 2.1687 (2.2086)	Prec@1 40.625 (44.529)	Prec@5 72.656 (75.025)
Epoch: [40][380/14090]	Time 0.752 (0.780)	Data 0.001 (0.014)	Loss 2.1012 (2.2097)	Prec@1 50.000 (44.507)	Prec@5 75.000 (75.016)
Epoch: [40][390/14090]	Time 0.738 (0.779)	Data 0.001 (0.014)	Loss 1.9967 (2.2096)	Prec@1 47.656 (44.471)	Prec@5 81.250 (75.018)
Epoch: [40][400/14090]	Time 0.756 (0.779)	Data 0.001 (0.013)	Loss 2.3854 (2.2094)	Prec@1 42.969 (44.475)	Prec@5 71.875 (75.060)
Epoch: [40][410/14090]	Time 0.739 (0.779)	Data 0.001 (0.013)	Loss 2.0864 (2.2069)	Prec@1 45.312 (44.552)	Prec@5 75.781 (75.087)
Epoch: [40][420/14090]	Time 0.750 (0.779)	Data 0.001 (0.013)	Loss 2.1502 (2.2048)	Prec@1 42.188 (44.570)	Prec@5 78.906 (75.132)
Epoch: [40][430/14090]	Time 0.723 (0.779)	Data 0.001 (0.012)	Loss 2.2135 (2.2046)	Prec@1 43.750 (44.546)	Prec@5 75.000 (75.143)
Epoch: [40][440/14090]	Time 0.867 (0.778)	Data 0.001 (0.012)	Loss 1.9680 (2.2049)	Prec@1 46.875 (44.522)	Prec@5 80.469 (75.119)
Epoch: [40][450/14090]	Time 0.747 (0.778)	Data 0.001 (0.012)	Loss 2.1239 (2.2051)	Prec@1 48.438 (44.533)	Prec@5 78.125 (75.123)
Epoch: [40][460/14090]	Time 0.759 (0.778)	Data 0.001 (0.012)	Loss 2.3913 (2.2043)	Prec@1 37.500 (44.570)	Prec@5 69.531 (75.146)
Epoch: [40][470/14090]	Time 0.740 (0.778)	Data 0.002 (0.011)	Loss 2.3416 (2.2061)	Prec@1 44.531 (44.545)	Prec@5 75.781 (75.111)
Epoch: [40][480/14090]	Time 0.749 (0.778)	Data 0.001 (0.011)	Loss 1.9285 (2.2029)	Prec@1 42.188 (44.562)	Prec@5 78.906 (75.169)
Epoch: [40][490/14090]	Time 0.763 (0.778)	Data 0.001 (0.011)	Loss 2.0778 (2.2042)	Prec@1 43.750 (44.547)	Prec@5 77.344 (75.124)
Epoch: [40][500/14090]	Time 0.754 (0.778)	Data 0.001 (0.011)	Loss 2.3894 (2.2044)	Prec@1 37.500 (44.525)	Prec@5 75.000 (75.123)
Epoch: [40][510/14090]	Time 0.839 (0.778)	Data 0.001 (0.011)	Loss 2.3854 (2.2027)	Prec@1 43.750 (44.565)	Prec@5 71.875 (75.151)
Epoch: [40][520/14090]	Time 0.733 (0.777)	Data 0.001 (0.010)	Loss 1.9332 (2.2031)	Prec@1 53.125 (44.587)	Prec@5 80.469 (75.174)
Epoch: [40][530/14090]	Time 0.738 (0.777)	Data 0.001 (0.010)	Loss 2.5905 (2.2031)	Prec@1 33.594 (44.586)	Prec@5 71.094 (75.206)
Epoch: [40][540/14090]	Time 0.752 (0.777)	Data 0.001 (0.010)	Loss 2.1325 (2.2026)	Prec@1 46.094 (44.577)	Prec@5 73.438 (75.211)
Epoch: [40][550/14090]	Time 0.730 (0.777)	Data 0.001 (0.010)	Loss 2.2015 (2.2040)	Prec@1 49.219 (44.551)	Prec@5 74.219 (75.166)
Epoch: [40][560/14090]	Time 0.743 (0.777)	Data 0.001 (0.010)	Loss 2.1843 (2.2050)	Prec@1 47.656 (44.540)	Prec@5 78.125 (75.162)
Epoch: [40][570/14090]	Time 0.749 (0.776)	Data 0.001 (0.010)	Loss 2.2524 (2.2047)	Prec@1 42.969 (44.546)	Prec@5 74.219 (75.163)
Epoch: [40][580/14090]	Time 0.915 (0.776)	Data 0.001 (0.009)	Loss 2.1621 (2.2050)	Prec@1 41.406 (44.531)	Prec@5 82.031 (75.179)
Epoch: [40][590/14090]	Time 0.729 (0.776)	Data 0.001 (0.009)	Loss 2.0212 (2.2038)	Prec@1 40.625 (44.578)	Prec@5 78.125 (75.197)
Epoch: [40][600/14090]	Time 0.732 (0.776)	Data 0.001 (0.009)	Loss 2.2500 (2.2032)	Prec@1 43.750 (44.599)	Prec@5 75.781 (75.196)
Epoch: [40][610/14090]	Time 0.735 (0.776)	Data 0.001 (0.009)	Loss 2.1999 (2.2031)	Prec@1 50.781 (44.590)	Prec@5 76.562 (75.189)
Epoch: [40][620/14090]	Time 0.773 (0.776)	Data 0.001 (0.009)	Loss 2.1683 (2.2030)	Prec@1 42.969 (44.584)	Prec@5 73.438 (75.169)
Epoch: [40][630/14090]	Time 0.733 (0.776)	Data 0.001 (0.009)	Loss 2.3816 (2.2025)	Prec@1 42.188 (44.565)	Prec@5 72.656 (75.168)
Epoch: [40][640/14090]	Time 0.731 (0.776)	Data 0.001 (0.009)	Loss 2.0936 (2.2007)	Prec@1 43.750 (44.621)	Prec@5 76.562 (75.197)
Epoch: [40][650/14090]	Time 0.887 (0.776)	Data 0.001 (0.009)	Loss 2.1364 (2.2003)	Prec@1 46.094 (44.631)	Prec@5 75.000 (75.205)
Epoch: [40][660/14090]	Time 0.746 (0.775)	Data 0.001 (0.008)	Loss 2.3587 (2.2007)	Prec@1 48.438 (44.642)	Prec@5 71.094 (75.215)
Epoch: [40][670/14090]	Time 0.769 (0.775)	Data 0.001 (0.008)	Loss 2.0169 (2.2013)	Prec@1 52.344 (44.629)	Prec@5 78.125 (75.210)
Epoch: [40][680/14090]	Time 0.764 (0.775)	Data 0.001 (0.008)	Loss 1.8998 (2.2011)	Prec@1 48.438 (44.632)	Prec@5 82.031 (75.203)
Epoch: [40][690/14090]	Time 0.749 (0.775)	Data 0.001 (0.008)	Loss 2.2893 (2.2012)	Prec@1 46.875 (44.623)	Prec@5 75.000 (75.215)
Epoch: [40][700/14090]	Time 0.759 (0.775)	Data 0.001 (0.008)	Loss 2.1401 (2.2007)	Prec@1 44.531 (44.622)	Prec@5 75.781 (75.221)
Epoch: [40][710/14090]	Time 0.749 (0.775)	Data 0.001 (0.008)	Loss 1.9830 (2.1999)	Prec@1 48.438 (44.633)	Prec@5 81.250 (75.241)
Epoch: [40][720/14090]	Time 0.882 (0.775)	Data 0.001 (0.008)	Loss 1.9553 (2.1999)	Prec@1 46.094 (44.635)	Prec@5 82.031 (75.237)
Epoch: [40][730/14090]	Time 0.756 (0.775)	Data 0.001 (0.008)	Loss 2.2939 (2.2008)	Prec@1 44.531 (44.618)	Prec@5 70.312 (75.218)
Epoch: [40][740/14090]	Time 0.764 (0.775)	Data 0.001 (0.008)	Loss 2.1498 (2.2009)	Prec@1 48.438 (44.656)	Prec@5 77.344 (75.227)
Epoch: [40][750/14090]	Time 0.763 (0.775)	Data 0.001 (0.008)	Loss 2.1515 (2.2008)	Prec@1 44.531 (44.668)	Prec@5 77.344 (75.243)
Epoch: [40][760/14090]	Time 0.753 (0.774)	Data 0.001 (0.007)	Loss 2.3241 (2.1997)	Prec@1 36.719 (44.677)	Prec@5 75.000 (75.282)
Epoch: [40][770/14090]	Time 0.725 (0.774)	Data 0.001 (0.007)	Loss 2.3458 (2.1998)	Prec@1 42.188 (44.667)	Prec@5 68.750 (75.282)
Epoch: [40][780/14090]	Time 0.758 (0.774)	Data 0.001 (0.007)	Loss 2.0828 (2.2014)	Prec@1 45.312 (44.639)	Prec@5 78.125 (75.248)
Epoch: [40][790/14090]	Time 0.837 (0.774)	Data 0.001 (0.007)	Loss 2.1850 (2.2005)	Prec@1 46.875 (44.655)	Prec@5 75.000 (75.268)
Epoch: [40][800/14090]	Time 0.756 (0.774)	Data 0.001 (0.007)	Loss 1.9745 (2.2009)	Prec@1 51.562 (44.638)	Prec@5 76.562 (75.265)
Epoch: [40][810/14090]	Time 0.751 (0.774)	Data 0.001 (0.007)	Loss 2.1631 (2.2010)	Prec@1 39.844 (44.630)	Prec@5 78.125 (75.254)
Epoch: [40][820/14090]	Time 0.746 (0.774)	Data 0.001 (0.007)	Loss 2.4453 (2.2015)	Prec@1 40.625 (44.617)	Prec@5 72.656 (75.256)
Epoch: [40][830/14090]	Time 0.774 (0.773)	Data 0.001 (0.007)	Loss 2.4356 (2.2009)	Prec@1 42.188 (44.628)	Prec@5 71.875 (75.260)
Epoch: [40][840/14090]	Time 0.755 (0.774)	Data 0.001 (0.007)	Loss 2.1640 (2.2004)	Prec@1 44.531 (44.642)	Prec@5 73.438 (75.257)
Epoch: [40][850/14090]	Time 0.740 (0.773)	Data 0.001 (0.007)	Loss 2.2680 (2.2008)	Prec@1 45.312 (44.647)	Prec@5 75.781 (75.251)
Epoch: [40][860/14090]	Time 0.872 (0.773)	Data 0.001 (0.007)	Loss 2.2768 (2.2013)	Prec@1 41.406 (44.632)	Prec@5 75.781 (75.242)
Epoch: [40][870/14090]	Time 0.738 (0.773)	Data 0.001 (0.007)	Loss 2.4298 (2.2022)	Prec@1 44.531 (44.627)	Prec@5 69.531 (75.218)
Epoch: [40][880/14090]	Time 0.747 (0.773)	Data 0.001 (0.007)	Loss 2.5237 (2.2035)	Prec@1 39.844 (44.607)	Prec@5 64.062 (75.188)
Epoch: [40][890/14090]	Time 0.774 (0.773)	Data 0.001 (0.006)	Loss 1.9633 (2.2031)	Prec@1 49.219 (44.617)	Prec@5 81.250 (75.193)
Epoch: [40][900/14090]	Time 0.755 (0.773)	Data 0.001 (0.006)	Loss 2.1128 (2.2034)	Prec@1 47.656 (44.613)	Prec@5 77.344 (75.187)
Epoch: [40][910/14090]	Time 0.757 (0.773)	Data 0.001 (0.006)	Loss 2.0117 (2.2035)	Prec@1 43.750 (44.605)	Prec@5 78.906 (75.190)
Epoch: [40][920/14090]	Time 0.753 (0.773)	Data 0.001 (0.006)	Loss 2.1555 (2.2031)	Prec@1 43.750 (44.604)	Prec@5 72.656 (75.194)
Epoch: [40][930/14090]	Time 0.855 (0.773)	Data 0.001 (0.006)	Loss 2.2787 (2.2036)	Prec@1 36.719 (44.608)	Prec@5 75.000 (75.184)
Epoch: [40][940/14090]	Time 0.732 (0.773)	Data 0.001 (0.006)	Loss 2.4233 (2.2038)	Prec@1 42.969 (44.601)	Prec@5 71.094 (75.170)
Epoch: [40][950/14090]	Time 0.737 (0.772)	Data 0.001 (0.006)	Loss 2.2555 (2.2034)	Prec@1 45.312 (44.615)	Prec@5 78.906 (75.177)
Epoch: [40][960/14090]	Time 0.744 (0.773)	Data 0.001 (0.006)	Loss 2.1290 (2.2037)	Prec@1 47.656 (44.601)	Prec@5 76.562 (75.176)
Epoch: [40][970/14090]	Time 0.749 (0.772)	Data 0.001 (0.006)	Loss 2.1332 (2.2018)	Prec@1 43.750 (44.646)	Prec@5 78.125 (75.207)
Epoch: [40][980/14090]	Time 0.747 (0.772)	Data 0.001 (0.006)	Loss 2.1089 (2.2015)	Prec@1 43.750 (44.650)	Prec@5 76.562 (75.208)
Epoch: [40][990/14090]	Time 0.744 (0.772)	Data 0.001 (0.006)	Loss 2.3574 (2.2019)	Prec@1 44.531 (44.659)	Prec@5 67.188 (75.207)
Epoch: [40][1000/14090]	Time 0.865 (0.772)	Data 0.001 (0.006)	Loss 2.3200 (2.2020)	Prec@1 45.312 (44.653)	Prec@5 74.219 (75.210)
Epoch: [40][1010/14090]	Time 0.735 (0.772)	Data 0.001 (0.006)	Loss 2.3631 (2.2020)	Prec@1 44.531 (44.657)	Prec@5 72.656 (75.205)
Epoch: [40][1020/14090]	Time 0.739 (0.772)	Data 0.001 (0.006)	Loss 2.1411 (2.2022)	Prec@1 42.188 (44.628)	Prec@5 79.688 (75.213)
Epoch: [40][1030/14090]	Time 0.732 (0.772)	Data 0.001 (0.006)	Loss 2.2424 (2.2021)	Prec@1 42.969 (44.622)	Prec@5 73.438 (75.205)
Epoch: [40][1040/14090]	Time 0.750 (0.772)	Data 0.001 (0.006)	Loss 2.0164 (2.2023)	Prec@1 48.438 (44.621)	Prec@5 77.344 (75.209)
Epoch: [40][1050/14090]	Time 0.763 (0.772)	Data 0.001 (0.006)	Loss 2.0847 (2.2015)	Prec@1 44.531 (44.631)	Prec@5 73.438 (75.227)
Epoch: [40][1060/14090]	Time 0.754 (0.772)	Data 0.001 (0.006)	Loss 2.0881 (2.2019)	Prec@1 50.781 (44.622)	Prec@5 74.219 (75.219)
Epoch: [40][1070/14090]	Time 0.870 (0.772)	Data 0.001 (0.006)	Loss 2.2264 (2.2026)	Prec@1 42.969 (44.616)	Prec@5 71.875 (75.204)
Epoch: [40][1080/14090]	Time 0.753 (0.772)	Data 0.001 (0.005)	Loss 2.1094 (2.2031)	Prec@1 47.656 (44.619)	Prec@5 75.781 (75.191)
Epoch: [40][1090/14090]	Time 0.745 (0.772)	Data 0.001 (0.005)	Loss 2.2087 (2.2027)	Prec@1 46.094 (44.618)	Prec@5 76.562 (75.201)
Epoch: [40][1100/14090]	Time 0.732 (0.772)	Data 0.001 (0.005)	Loss 2.3437 (2.2024)	Prec@1 39.062 (44.606)	Prec@5 72.656 (75.214)
Epoch: [40][1110/14090]	Time 0.743 (0.772)	Data 0.001 (0.005)	Loss 1.8692 (2.2016)	Prec@1 50.000 (44.633)	Prec@5 78.906 (75.231)
Epoch: [40][1120/14090]	Time 0.754 (0.772)	Data 0.001 (0.005)	Loss 2.2709 (2.2019)	Prec@1 39.844 (44.640)	Prec@5 74.219 (75.226)
Epoch: [40][1130/14090]	Time 0.753 (0.772)	Data 0.001 (0.005)	Loss 2.1339 (2.2014)	Prec@1 51.562 (44.647)	Prec@5 77.344 (75.238)
Epoch: [40][1140/14090]	Time 0.913 (0.772)	Data 0.001 (0.005)	Loss 2.1220 (2.2017)	Prec@1 50.781 (44.640)	Prec@5 77.344 (75.241)
Epoch: [40][1150/14090]	Time 0.752 (0.772)	Data 0.001 (0.005)	Loss 2.1260 (2.2010)	Prec@1 48.438 (44.657)	Prec@5 79.688 (75.253)
Epoch: [40][1160/14090]	Time 0.748 (0.772)	Data 0.001 (0.005)	Loss 2.2586 (2.2013)	Prec@1 42.188 (44.642)	Prec@5 74.219 (75.242)
Epoch: [40][1170/14090]	Time 0.740 (0.772)	Data 0.001 (0.005)	Loss 2.0748 (2.2008)	Prec@1 46.094 (44.661)	Prec@5 76.562 (75.250)
Epoch: [40][1180/14090]	Time 0.759 (0.772)	Data 0.001 (0.005)	Loss 2.0471 (2.2013)	Prec@1 46.875 (44.652)	Prec@5 76.562 (75.247)
Epoch: [40][1190/14090]	Time 0.757 (0.772)	Data 0.001 (0.005)	Loss 2.3314 (2.2015)	Prec@1 43.750 (44.654)	Prec@5 72.656 (75.250)
Epoch: [40][1200/14090]	Time 0.759 (0.772)	Data 0.001 (0.005)	Loss 2.2358 (2.2009)	Prec@1 42.969 (44.661)	Prec@5 75.000 (75.265)
Epoch: [40][1210/14090]	Time 1.007 (0.772)	Data 0.001 (0.005)	Loss 2.1907 (2.2010)	Prec@1 45.312 (44.656)	Prec@5 76.562 (75.265)
Epoch: [40][1220/14090]	Time 0.751 (0.772)	Data 0.001 (0.005)	Loss 1.9907 (2.2007)	Prec@1 46.875 (44.659)	Prec@5 79.688 (75.271)
Epoch: [40][1230/14090]	Time 0.751 (0.772)	Data 0.001 (0.005)	Loss 2.3020 (2.2006)	Prec@1 39.844 (44.658)	Prec@5 71.094 (75.263)
Epoch: [40][1240/14090]	Time 0.729 (0.772)	Data 0.001 (0.005)	Loss 2.2869 (2.2007)	Prec@1 45.312 (44.668)	Prec@5 71.875 (75.256)
Epoch: [40][1250/14090]	Time 0.725 (0.772)	Data 0.003 (0.005)	Loss 2.4533 (2.2007)	Prec@1 35.938 (44.667)	Prec@5 70.312 (75.255)
Epoch: [40][1260/14090]	Time 0.763 (0.772)	Data 0.001 (0.005)	Loss 2.1133 (2.2007)	Prec@1 47.656 (44.655)	Prec@5 75.000 (75.253)
Epoch: [40][1270/14090]	Time 0.727 (0.772)	Data 0.001 (0.005)	Loss 2.1833 (2.2004)	Prec@1 40.625 (44.648)	Prec@5 73.438 (75.256)
Epoch: [40][1280/14090]	Time 0.910 (0.772)	Data 0.001 (0.005)	Loss 2.3975 (2.2005)	Prec@1 42.188 (44.653)	Prec@5 65.625 (75.251)
Epoch: [40][1290/14090]	Time 0.747 (0.771)	Data 0.001 (0.005)	Loss 2.4454 (2.2007)	Prec@1 39.844 (44.649)	Prec@5 71.094 (75.248)
Epoch: [40][1300/14090]	Time 0.731 (0.771)	Data 0.001 (0.005)	Loss 2.4202 (2.2010)	Prec@1 40.625 (44.645)	Prec@5 67.969 (75.246)
Epoch: [40][1310/14090]	Time 0.754 (0.771)	Data 0.001 (0.005)	Loss 2.1568 (2.2015)	Prec@1 48.438 (44.630)	Prec@5 72.656 (75.224)
Epoch: [40][1320/14090]	Time 0.738 (0.771)	Data 0.001 (0.005)	Loss 2.2823 (2.2019)	Prec@1 46.875 (44.624)	Prec@5 75.000 (75.216)
Epoch: [40][1330/14090]	Time 0.757 (0.771)	Data 0.001 (0.005)	Loss 2.1451 (2.2022)	Prec@1 46.094 (44.606)	Prec@5 78.125 (75.209)
Epoch: [40][1340/14090]	Time 0.751 (0.771)	Data 0.001 (0.005)	Loss 2.3113 (2.2014)	Prec@1 43.750 (44.615)	Prec@5 75.000 (75.221)
Epoch: [40][1350/14090]	Time 0.862 (0.771)	Data 0.001 (0.005)	Loss 2.1882 (2.2014)	Prec@1 45.312 (44.613)	Prec@5 71.875 (75.223)
Epoch: [40][1360/14090]	Time 0.746 (0.771)	Data 0.001 (0.005)	Loss 2.2588 (2.2011)	Prec@1 50.000 (44.627)	Prec@5 71.875 (75.227)
Epoch: [40][1370/14090]	Time 0.754 (0.771)	Data 0.001 (0.004)	Loss 2.0722 (2.2010)	Prec@1 45.312 (44.632)	Prec@5 76.562 (75.223)
Epoch: [40][1380/14090]	Time 0.755 (0.771)	Data 0.001 (0.004)	Loss 2.1901 (2.2013)	Prec@1 46.094 (44.626)	Prec@5 73.438 (75.210)
Epoch: [40][1390/14090]	Time 0.742 (0.771)	Data 0.001 (0.004)	Loss 2.2398 (2.2023)	Prec@1 42.969 (44.613)	Prec@5 74.219 (75.189)
Epoch: [40][1400/14090]	Time 0.762 (0.771)	Data 0.001 (0.004)	Loss 2.1902 (2.2024)	Prec@1 46.875 (44.621)	Prec@5 77.344 (75.181)
Epoch: [40][1410/14090]	Time 0.753 (0.771)	Data 0.001 (0.004)	Loss 2.0483 (2.2029)	Prec@1 45.312 (44.618)	Prec@5 77.344 (75.161)
Epoch: [40][1420/14090]	Time 1.029 (0.771)	Data 0.001 (0.004)	Loss 2.0733 (2.2022)	Prec@1 42.969 (44.629)	Prec@5 82.031 (75.179)
Epoch: [40][1430/14090]	Time 0.728 (0.771)	Data 0.001 (0.004)	Loss 2.1078 (2.2026)	Prec@1 50.781 (44.614)	Prec@5 77.344 (75.175)
Epoch: [40][1440/14090]	Time 0.755 (0.771)	Data 0.001 (0.004)	Loss 2.2611 (2.2030)	Prec@1 46.875 (44.597)	Prec@5 77.344 (75.166)
Epoch: [40][1450/14090]	Time 0.752 (0.771)	Data 0.001 (0.004)	Loss 2.3255 (2.2031)	Prec@1 42.188 (44.595)	Prec@5 74.219 (75.166)
Epoch: [40][1460/14090]	Time 0.733 (0.771)	Data 0.001 (0.004)	Loss 2.2646 (2.2031)	Prec@1 41.406 (44.591)	Prec@5 73.438 (75.158)
Epoch: [40][1470/14090]	Time 0.750 (0.771)	Data 0.001 (0.004)	Loss 2.0992 (2.2032)	Prec@1 49.219 (44.592)	Prec@5 76.562 (75.153)
Epoch: [40][1480/14090]	Time 0.754 (0.771)	Data 0.001 (0.004)	Loss 2.4990 (2.2035)	Prec@1 38.281 (44.592)	Prec@5 70.312 (75.145)
Epoch: [40][1490/14090]	Time 0.886 (0.771)	Data 0.001 (0.004)	Loss 2.2964 (2.2039)	Prec@1 46.094 (44.582)	Prec@5 69.531 (75.128)
Epoch: [40][1500/14090]	Time 0.739 (0.771)	Data 0.001 (0.004)	Loss 2.1634 (2.2045)	Prec@1 46.875 (44.570)	Prec@5 74.219 (75.113)
Epoch: [40][1510/14090]	Time 0.748 (0.771)	Data 0.001 (0.004)	Loss 2.3002 (2.2044)	Prec@1 38.281 (44.562)	Prec@5 76.562 (75.124)
Epoch: [40][1520/14090]	Time 0.759 (0.771)	Data 0.001 (0.004)	Loss 2.4364 (2.2042)	Prec@1 39.844 (44.563)	Prec@5 73.438 (75.130)
Epoch: [40][1530/14090]	Time 0.738 (0.771)	Data 0.001 (0.004)	Loss 2.1439 (2.2047)	Prec@1 44.531 (44.555)	Prec@5 71.875 (75.116)
Epoch: [40][1540/14090]	Time 0.758 (0.771)	Data 0.001 (0.004)	Loss 2.2005 (2.2048)	Prec@1 46.094 (44.552)	Prec@5 73.438 (75.111)
Epoch: [40][1550/14090]	Time 0.721 (0.771)	Data 0.001 (0.004)	Loss 2.1793 (2.2046)	Prec@1 45.312 (44.558)	Prec@5 75.781 (75.117)
Epoch: [40][1560/14090]	Time 0.919 (0.771)	Data 0.001 (0.004)	Loss 2.4513 (2.2042)	Prec@1 39.062 (44.570)	Prec@5 68.750 (75.122)
Epoch: [40][1570/14090]	Time 0.757 (0.771)	Data 0.001 (0.004)	Loss 2.2229 (2.2045)	Prec@1 44.531 (44.567)	Prec@5 71.094 (75.111)
Epoch: [40][1580/14090]	Time 0.738 (0.771)	Data 0.001 (0.004)	Loss 2.2361 (2.2047)	Prec@1 42.188 (44.558)	Prec@5 69.531 (75.107)
Epoch: [40][1590/14090]	Time 0.750 (0.771)	Data 0.001 (0.004)	Loss 2.2638 (2.2046)	Prec@1 48.438 (44.570)	Prec@5 74.219 (75.113)
Epoch: [40][1600/14090]	Time 0.734 (0.771)	Data 0.001 (0.004)	Loss 2.1918 (2.2046)	Prec@1 47.656 (44.572)	Prec@5 73.438 (75.115)
Epoch: [40][1610/14090]	Time 0.768 (0.771)	Data 0.001 (0.004)	Loss 2.5417 (2.2047)	Prec@1 42.188 (44.576)	Prec@5 64.062 (75.109)
Epoch: [40][1620/14090]	Time 0.741 (0.771)	Data 0.001 (0.004)	Loss 2.1294 (2.2042)	Prec@1 44.531 (44.581)	Prec@5 80.469 (75.122)
Epoch: [40][1630/14090]	Time 0.856 (0.771)	Data 0.001 (0.004)	Loss 2.1794 (2.2038)	Prec@1 45.312 (44.594)	Prec@5 74.219 (75.132)
Epoch: [40][1640/14090]	Time 0.751 (0.770)	Data 0.001 (0.004)	Loss 2.1351 (2.2036)	Prec@1 45.312 (44.603)	Prec@5 75.781 (75.146)
Epoch: [40][1650/14090]	Time 0.739 (0.770)	Data 0.001 (0.004)	Loss 2.2260 (2.2036)	Prec@1 42.969 (44.597)	Prec@5 77.344 (75.155)
Epoch: [40][1660/14090]	Time 0.763 (0.770)	Data 0.001 (0.004)	Loss 2.2348 (2.2034)	Prec@1 40.625 (44.606)	Prec@5 74.219 (75.157)
Epoch: [40][1670/14090]	Time 0.746 (0.770)	Data 0.001 (0.004)	Loss 2.1100 (2.2033)	Prec@1 46.094 (44.613)	Prec@5 74.219 (75.149)
Epoch: [40][1680/14090]	Time 0.767 (0.770)	Data 0.001 (0.004)	Loss 2.2528 (2.2033)	Prec@1 43.750 (44.612)	Prec@5 74.219 (75.153)
Epoch: [40][1690/14090]	Time 0.727 (0.770)	Data 0.001 (0.004)	Loss 2.1364 (2.2031)	Prec@1 45.312 (44.609)	Prec@5 80.469 (75.156)
Epoch: [40][1700/14090]	Time 1.026 (0.770)	Data 0.001 (0.004)	Loss 2.2783 (2.2030)	Prec@1 45.312 (44.618)	Prec@5 73.438 (75.155)
Epoch: [40][1710/14090]	Time 0.744 (0.770)	Data 0.001 (0.004)	Loss 1.8769 (2.2027)	Prec@1 53.906 (44.622)	Prec@5 77.344 (75.162)
Epoch: [40][1720/14090]	Time 0.754 (0.770)	Data 0.001 (0.004)	Loss 2.1093 (2.2027)	Prec@1 44.531 (44.615)	Prec@5 75.000 (75.163)
Epoch: [40][1730/14090]	Time 0.740 (0.770)	Data 0.001 (0.004)	Loss 2.4165 (2.2028)	Prec@1 45.312 (44.624)	Prec@5 74.219 (75.169)
Epoch: [40][1740/14090]	Time 0.761 (0.770)	Data 0.001 (0.004)	Loss 2.1903 (2.2030)	Prec@1 50.781 (44.621)	Prec@5 78.906 (75.163)
Epoch: [40][1750/14090]	Time 0.732 (0.770)	Data 0.001 (0.004)	Loss 2.2212 (2.2031)	Prec@1 42.969 (44.615)	Prec@5 78.125 (75.157)
Epoch: [40][1760/14090]	Time 0.785 (0.770)	Data 0.001 (0.004)	Loss 1.9626 (2.2032)	Prec@1 48.438 (44.617)	Prec@5 78.906 (75.152)
Epoch: [40][1770/14090]	Time 0.862 (0.770)	Data 0.001 (0.004)	Loss 2.1740 (2.2034)	Prec@1 46.875 (44.611)	Prec@5 73.438 (75.150)
Epoch: [40][1780/14090]	Time 0.750 (0.770)	Data 0.001 (0.004)	Loss 2.0030 (2.2026)	Prec@1 45.312 (44.631)	Prec@5 80.469 (75.171)
Epoch: [40][1790/14090]	Time 0.739 (0.770)	Data 0.001 (0.004)	Loss 2.0977 (2.2022)	Prec@1 50.000 (44.647)	Prec@5 78.125 (75.173)
Epoch: [40][1800/14090]	Time 0.760 (0.770)	Data 0.001 (0.004)	Loss 2.2751 (2.2025)	Prec@1 43.750 (44.639)	Prec@5 74.219 (75.174)
Epoch: [40][1810/14090]	Time 0.735 (0.770)	Data 0.001 (0.004)	Loss 2.2558 (2.2028)	Prec@1 45.312 (44.630)	Prec@5 75.781 (75.158)
Epoch: [40][1820/14090]	Time 0.777 (0.770)	Data 0.001 (0.004)	Loss 1.8411 (2.2026)	Prec@1 49.219 (44.628)	Prec@5 82.812 (75.166)
Epoch: [40][1830/14090]	Time 0.763 (0.770)	Data 0.001 (0.004)	Loss 2.1178 (2.2025)	Prec@1 49.219 (44.634)	Prec@5 79.688 (75.166)
Epoch: [40][1840/14090]	Time 1.033 (0.770)	Data 0.001 (0.004)	Loss 2.1099 (2.2021)	Prec@1 40.625 (44.639)	Prec@5 75.781 (75.169)
Epoch: [40][1850/14090]	Time 0.755 (0.770)	Data 0.001 (0.004)	Loss 2.1129 (2.2020)	Prec@1 44.531 (44.642)	Prec@5 77.344 (75.171)
Epoch: [40][1860/14090]	Time 0.749 (0.770)	Data 0.001 (0.004)	Loss 1.9846 (2.2018)	Prec@1 49.219 (44.637)	Prec@5 81.250 (75.179)
Epoch: [40][1870/14090]	Time 0.749 (0.770)	Data 0.001 (0.004)	Loss 2.0596 (2.2022)	Prec@1 45.312 (44.632)	Prec@5 78.125 (75.166)
Epoch: [40][1880/14090]	Time 0.742 (0.770)	Data 0.001 (0.004)	Loss 1.9520 (2.2024)	Prec@1 51.562 (44.632)	Prec@5 81.250 (75.160)
Epoch: [40][1890/14090]	Time 0.726 (0.770)	Data 0.001 (0.003)	Loss 1.9847 (2.2019)	Prec@1 53.906 (44.641)	Prec@5 78.906 (75.169)
Epoch: [40][1900/14090]	Time 0.732 (0.770)	Data 0.001 (0.003)	Loss 2.1824 (2.2016)	Prec@1 41.406 (44.637)	Prec@5 78.125 (75.179)
Epoch: [40][1910/14090]	Time 0.856 (0.770)	Data 0.001 (0.003)	Loss 1.7468 (2.2012)	Prec@1 52.344 (44.636)	Prec@5 84.375 (75.179)
Epoch: [40][1920/14090]	Time 0.753 (0.770)	Data 0.001 (0.003)	Loss 2.2139 (2.2011)	Prec@1 44.531 (44.638)	Prec@5 75.781 (75.183)
Epoch: [40][1930/14090]	Time 0.743 (0.770)	Data 0.001 (0.003)	Loss 2.3120 (2.2010)	Prec@1 41.406 (44.636)	Prec@5 77.344 (75.184)
Epoch: [40][1940/14090]	Time 0.738 (0.770)	Data 0.001 (0.003)	Loss 2.4628 (2.2009)	Prec@1 37.500 (44.642)	Prec@5 71.875 (75.189)
Epoch: [40][1950/14090]	Time 0.741 (0.770)	Data 0.001 (0.003)	Loss 2.0853 (2.2010)	Prec@1 39.062 (44.638)	Prec@5 82.031 (75.191)
Epoch: [40][1960/14090]	Time 0.744 (0.770)	Data 0.001 (0.003)	Loss 2.2605 (2.2009)	Prec@1 34.375 (44.633)	Prec@5 76.562 (75.193)
Epoch: [40][1970/14090]	Time 0.751 (0.770)	Data 0.001 (0.003)	Loss 1.9917 (2.2011)	Prec@1 46.875 (44.629)	Prec@5 76.562 (75.193)
Epoch: [40][1980/14090]	Time 0.916 (0.770)	Data 0.001 (0.003)	Loss 2.3403 (2.2012)	Prec@1 37.500 (44.633)	Prec@5 75.781 (75.190)
Epoch: [40][1990/14090]	Time 0.725 (0.770)	Data 0.001 (0.003)	Loss 2.3998 (2.2011)	Prec@1 42.969 (44.635)	Prec@5 71.875 (75.193)
Epoch: [40][2000/14090]	Time 0.768 (0.770)	Data 0.001 (0.003)	Loss 2.1719 (2.2007)	Prec@1 50.000 (44.655)	Prec@5 73.438 (75.196)
Epoch: [40][2010/14090]	Time 0.733 (0.770)	Data 0.001 (0.003)	Loss 2.0527 (2.2006)	Prec@1 50.000 (44.661)	Prec@5 75.000 (75.200)
Epoch: [40][2020/14090]	Time 0.725 (0.769)	Data 0.001 (0.003)	Loss 2.1962 (2.2005)	Prec@1 46.875 (44.662)	Prec@5 73.438 (75.200)
Epoch: [40][2030/14090]	Time 0.730 (0.769)	Data 0.001 (0.003)	Loss 2.3312 (2.2009)	Prec@1 35.938 (44.633)	Prec@5 71.875 (75.192)
Epoch: [40][2040/14090]	Time 0.748 (0.769)	Data 0.001 (0.003)	Loss 2.1208 (2.2010)	Prec@1 46.094 (44.628)	Prec@5 77.344 (75.182)
Epoch: [40][2050/14090]	Time 0.900 (0.769)	Data 0.001 (0.003)	Loss 2.1221 (2.2008)	Prec@1 39.062 (44.627)	Prec@5 78.125 (75.187)
Epoch: [40][2060/14090]	Time 0.746 (0.769)	Data 0.002 (0.003)	Loss 2.3067 (2.2009)	Prec@1 43.750 (44.620)	Prec@5 71.094 (75.184)
Epoch: [40][2070/14090]	Time 0.735 (0.769)	Data 0.001 (0.003)	Loss 2.0949 (2.2009)	Prec@1 48.438 (44.620)	Prec@5 79.688 (75.184)
Epoch: [40][2080/14090]	Time 0.728 (0.769)	Data 0.001 (0.003)	Loss 2.2491 (2.2009)	Prec@1 40.625 (44.625)	Prec@5 77.344 (75.187)
Epoch: [40][2090/14090]	Time 0.742 (0.769)	Data 0.001 (0.003)	Loss 2.2295 (2.2007)	Prec@1 44.531 (44.628)	Prec@5 73.438 (75.194)
Epoch: [40][2100/14090]	Time 0.752 (0.769)	Data 0.001 (0.003)	Loss 1.9875 (2.2003)	Prec@1 43.750 (44.631)	Prec@5 82.812 (75.201)
Epoch: [40][2110/14090]	Time 0.730 (0.769)	Data 0.001 (0.003)	Loss 2.1098 (2.2001)	Prec@1 44.531 (44.635)	Prec@5 76.562 (75.208)
Epoch: [40][2120/14090]	Time 0.831 (0.769)	Data 0.001 (0.003)	Loss 2.7222 (2.2004)	Prec@1 34.375 (44.631)	Prec@5 65.625 (75.197)
Epoch: [40][2130/14090]	Time 0.737 (0.769)	Data 0.001 (0.003)	Loss 2.1600 (2.1999)	Prec@1 43.750 (44.633)	Prec@5 75.000 (75.206)
Epoch: [40][2140/14090]	Time 0.750 (0.769)	Data 0.001 (0.003)	Loss 2.4449 (2.1998)	Prec@1 39.062 (44.638)	Prec@5 69.531 (75.207)
Epoch: [40][2150/14090]	Time 0.746 (0.769)	Data 0.001 (0.003)	Loss 2.0265 (2.1997)	Prec@1 44.531 (44.638)	Prec@5 78.125 (75.211)
Epoch: [40][2160/14090]	Time 0.741 (0.769)	Data 0.001 (0.003)	Loss 2.1632 (2.1998)	Prec@1 40.625 (44.634)	Prec@5 78.125 (75.206)
Epoch: [40][2170/14090]	Time 0.736 (0.769)	Data 0.001 (0.003)	Loss 1.9484 (2.1998)	Prec@1 47.656 (44.634)	Prec@5 78.125 (75.200)
Epoch: [40][2180/14090]	Time 0.768 (0.769)	Data 0.001 (0.003)	Loss 2.2482 (2.2001)	Prec@1 38.281 (44.633)	Prec@5 78.906 (75.201)
Epoch: [40][2190/14090]	Time 0.831 (0.769)	Data 0.001 (0.003)	Loss 2.5152 (2.1997)	Prec@1 35.938 (44.645)	Prec@5 67.188 (75.206)
Epoch: [40][2200/14090]	Time 0.773 (0.769)	Data 0.001 (0.003)	Loss 2.1594 (2.1999)	Prec@1 46.094 (44.633)	Prec@5 75.781 (75.205)
Epoch: [40][2210/14090]	Time 0.751 (0.769)	Data 0.001 (0.003)	Loss 2.1734 (2.1998)	Prec@1 46.875 (44.640)	Prec@5 77.344 (75.212)
Epoch: [40][2220/14090]	Time 0.731 (0.769)	Data 0.001 (0.003)	Loss 2.2178 (2.1998)	Prec@1 45.312 (44.646)	Prec@5 78.906 (75.218)
Epoch: [40][2230/14090]	Time 0.756 (0.769)	Data 0.001 (0.003)	Loss 2.2383 (2.1998)	Prec@1 45.312 (44.648)	Prec@5 74.219 (75.222)
Epoch: [40][2240/14090]	Time 0.730 (0.769)	Data 0.001 (0.003)	Loss 2.6466 (2.2001)	Prec@1 36.719 (44.649)	Prec@5 66.406 (75.215)
Epoch: [40][2250/14090]	Time 0.774 (0.769)	Data 0.001 (0.003)	Loss 2.3511 (2.2002)	Prec@1 41.406 (44.651)	Prec@5 71.094 (75.212)
Epoch: [40][2260/14090]	Time 0.877 (0.769)	Data 0.001 (0.003)	Loss 2.1284 (2.2003)	Prec@1 47.656 (44.643)	Prec@5 76.562 (75.206)
Epoch: [40][2270/14090]	Time 0.755 (0.769)	Data 0.001 (0.003)	Loss 2.0845 (2.2001)	Prec@1 46.875 (44.652)	Prec@5 76.562 (75.208)
Epoch: [40][2280/14090]	Time 0.732 (0.769)	Data 0.001 (0.003)	Loss 2.3526 (2.2000)	Prec@1 44.531 (44.665)	Prec@5 72.656 (75.213)
Epoch: [40][2290/14090]	Time 0.749 (0.769)	Data 0.001 (0.003)	Loss 2.1497 (2.1994)	Prec@1 40.625 (44.675)	Prec@5 76.562 (75.224)
Epoch: [40][2300/14090]	Time 0.763 (0.769)	Data 0.001 (0.003)	Loss 2.2603 (2.1995)	Prec@1 42.188 (44.675)	Prec@5 78.125 (75.223)
Epoch: [40][2310/14090]	Time 0.720 (0.769)	Data 0.001 (0.003)	Loss 2.0978 (2.1994)	Prec@1 46.094 (44.683)	Prec@5 79.688 (75.227)
Epoch: [40][2320/14090]	Time 0.739 (0.769)	Data 0.001 (0.003)	Loss 2.2971 (2.1992)	Prec@1 45.312 (44.688)	Prec@5 71.875 (75.235)
Epoch: [40][2330/14090]	Time 0.864 (0.769)	Data 0.001 (0.003)	Loss 2.1177 (2.1993)	Prec@1 40.625 (44.682)	Prec@5 78.906 (75.229)
Epoch: [40][2340/14090]	Time 0.741 (0.769)	Data 0.001 (0.003)	Loss 2.0216 (2.1993)	Prec@1 46.875 (44.677)	Prec@5 78.906 (75.232)
Epoch: [40][2350/14090]	Time 0.733 (0.769)	Data 0.001 (0.003)	Loss 2.4764 (2.1993)	Prec@1 39.062 (44.676)	Prec@5 70.312 (75.230)
Epoch: [40][2360/14090]	Time 0.749 (0.769)	Data 0.001 (0.003)	Loss 2.3674 (2.1994)	Prec@1 47.656 (44.681)	Prec@5 76.562 (75.232)
Epoch: [40][2370/14090]	Time 0.728 (0.769)	Data 0.001 (0.003)	Loss 2.2609 (2.1993)	Prec@1 39.844 (44.678)	Prec@5 78.125 (75.232)
Epoch: [40][2380/14090]	Time 0.766 (0.769)	Data 0.001 (0.003)	Loss 2.1084 (2.1997)	Prec@1 46.094 (44.666)	Prec@5 75.000 (75.227)
Epoch: [40][2390/14090]	Time 0.753 (0.769)	Data 0.001 (0.003)	Loss 2.0780 (2.1998)	Prec@1 50.781 (44.665)	Prec@5 77.344 (75.225)
Epoch: [40][2400/14090]	Time 0.892 (0.769)	Data 0.001 (0.003)	Loss 2.1788 (2.1996)	Prec@1 47.656 (44.669)	Prec@5 77.344 (75.232)
Epoch: [40][2410/14090]	Time 0.736 (0.769)	Data 0.001 (0.003)	Loss 1.9737 (2.1992)	Prec@1 53.125 (44.688)	Prec@5 77.344 (75.238)
Epoch: [40][2420/14090]	Time 0.732 (0.769)	Data 0.001 (0.003)	Loss 2.1747 (2.1994)	Prec@1 42.969 (44.682)	Prec@5 75.000 (75.235)
Epoch: [40][2430/14090]	Time 0.768 (0.769)	Data 0.001 (0.003)	Loss 2.0167 (2.1994)	Prec@1 47.656 (44.684)	Prec@5 82.812 (75.237)
Epoch: [40][2440/14090]	Time 0.748 (0.769)	Data 0.001 (0.003)	Loss 2.3438 (2.1996)	Prec@1 42.969 (44.679)	Prec@5 75.000 (75.235)
Epoch: [40][2450/14090]	Time 0.764 (0.769)	Data 0.001 (0.003)	Loss 2.6964 (2.2000)	Prec@1 34.375 (44.676)	Prec@5 66.406 (75.227)
Epoch: [40][2460/14090]	Time 0.756 (0.769)	Data 0.001 (0.003)	Loss 2.2580 (2.1998)	Prec@1 42.969 (44.677)	Prec@5 78.125 (75.239)
Epoch: [40][2470/14090]	Time 0.877 (0.769)	Data 0.001 (0.003)	Loss 2.3472 (2.2000)	Prec@1 42.969 (44.676)	Prec@5 72.656 (75.237)
Epoch: [40][2480/14090]	Time 0.733 (0.769)	Data 0.001 (0.003)	Loss 2.3147 (2.2001)	Prec@1 42.188 (44.667)	Prec@5 75.781 (75.234)
Epoch: [40][2490/14090]	Time 0.720 (0.769)	Data 0.001 (0.003)	Loss 2.1235 (2.2002)	Prec@1 49.219 (44.659)	Prec@5 74.219 (75.239)
Epoch: [40][2500/14090]	Time 0.777 (0.769)	Data 0.001 (0.003)	Loss 2.3053 (2.2005)	Prec@1 42.969 (44.649)	Prec@5 72.656 (75.235)
Epoch: [40][2510/14090]	Time 0.738 (0.769)	Data 0.001 (0.003)	Loss 1.8976 (2.2008)	Prec@1 54.688 (44.645)	Prec@5 79.688 (75.231)
Epoch: [40][2520/14090]	Time 0.747 (0.769)	Data 0.001 (0.003)	Loss 2.2193 (2.2007)	Prec@1 45.312 (44.649)	Prec@5 77.344 (75.231)
Epoch: [40][2530/14090]	Time 0.762 (0.769)	Data 0.001 (0.003)	Loss 2.0432 (2.2005)	Prec@1 49.219 (44.651)	Prec@5 79.688 (75.233)
Epoch: [40][2540/14090]	Time 0.893 (0.769)	Data 0.001 (0.003)	Loss 2.3184 (2.2006)	Prec@1 49.219 (44.658)	Prec@5 71.875 (75.236)
Epoch: [40][2550/14090]	Time 0.737 (0.769)	Data 0.001 (0.003)	Loss 2.1469 (2.2008)	Prec@1 46.094 (44.662)	Prec@5 71.875 (75.234)
Epoch: [40][2560/14090]	Time 0.753 (0.769)	Data 0.001 (0.003)	Loss 2.1716 (2.2007)	Prec@1 39.062 (44.659)	Prec@5 78.906 (75.238)
Epoch: [40][2570/14090]	Time 0.754 (0.769)	Data 0.001 (0.003)	Loss 2.2547 (2.2008)	Prec@1 48.438 (44.653)	Prec@5 72.656 (75.239)
Epoch: [40][2580/14090]	Time 0.759 (0.769)	Data 0.001 (0.003)	Loss 2.1816 (2.2010)	Prec@1 44.531 (44.646)	Prec@5 78.906 (75.238)
Epoch: [40][2590/14090]	Time 0.724 (0.769)	Data 0.001 (0.003)	Loss 2.4034 (2.2013)	Prec@1 46.875 (44.642)	Prec@5 71.875 (75.233)
Epoch: [40][2600/14090]	Time 0.740 (0.769)	Data 0.001 (0.003)	Loss 1.7922 (2.2014)	Prec@1 51.562 (44.645)	Prec@5 81.250 (75.231)
Epoch: [40][2610/14090]	Time 0.855 (0.769)	Data 0.001 (0.003)	Loss 2.1921 (2.2012)	Prec@1 42.188 (44.646)	Prec@5 72.656 (75.231)
Epoch: [40][2620/14090]	Time 0.725 (0.769)	Data 0.001 (0.003)	Loss 2.3870 (2.2015)	Prec@1 46.094 (44.643)	Prec@5 69.531 (75.224)
Epoch: [40][2630/14090]	Time 0.769 (0.769)	Data 0.001 (0.003)	Loss 2.0775 (2.2013)	Prec@1 47.656 (44.646)	Prec@5 77.344 (75.234)
Epoch: [40][2640/14090]	Time 0.735 (0.769)	Data 0.001 (0.003)	Loss 2.1321 (2.2012)	Prec@1 42.969 (44.650)	Prec@5 79.688 (75.234)
Epoch: [40][2650/14090]	Time 0.751 (0.769)	Data 0.001 (0.003)	Loss 2.3299 (2.2012)	Prec@1 35.938 (44.655)	Prec@5 76.562 (75.234)
Epoch: [40][2660/14090]	Time 0.763 (0.769)	Data 0.001 (0.003)	Loss 2.3695 (2.2009)	Prec@1 42.969 (44.667)	Prec@5 72.656 (75.238)
Epoch: [40][2670/14090]	Time 0.728 (0.769)	Data 0.001 (0.003)	Loss 2.3434 (2.2009)	Prec@1 44.531 (44.671)	Prec@5 76.562 (75.244)
Epoch: [40][2680/14090]	Time 0.873 (0.769)	Data 0.001 (0.003)	Loss 2.3443 (2.2004)	Prec@1 46.094 (44.681)	Prec@5 73.438 (75.249)
Epoch: [40][2690/14090]	Time 0.739 (0.769)	Data 0.001 (0.003)	Loss 2.4130 (2.2005)	Prec@1 42.188 (44.685)	Prec@5 72.656 (75.247)
Epoch: [40][2700/14090]	Time 0.738 (0.769)	Data 0.001 (0.003)	Loss 2.3628 (2.2009)	Prec@1 38.281 (44.680)	Prec@5 69.531 (75.239)
Epoch: [40][2710/14090]	Time 0.732 (0.769)	Data 0.001 (0.003)	Loss 2.5886 (2.2010)	Prec@1 40.625 (44.674)	Prec@5 67.969 (75.238)
Epoch: [40][2720/14090]	Time 0.751 (0.769)	Data 0.001 (0.003)	Loss 2.0587 (2.2010)	Prec@1 43.750 (44.667)	Prec@5 78.125 (75.238)
Epoch: [40][2730/14090]	Time 0.735 (0.769)	Data 0.001 (0.003)	Loss 2.3064 (2.2007)	Prec@1 34.375 (44.673)	Prec@5 74.219 (75.246)
Epoch: [40][2740/14090]	Time 0.745 (0.769)	Data 0.001 (0.003)	Loss 2.1949 (2.2005)	Prec@1 47.656 (44.673)	Prec@5 77.344 (75.247)
Epoch: [40][2750/14090]	Time 0.872 (0.769)	Data 0.001 (0.003)	Loss 2.2571 (2.2008)	Prec@1 41.406 (44.667)	Prec@5 78.125 (75.245)
Epoch: [40][2760/14090]	Time 0.741 (0.769)	Data 0.001 (0.003)	Loss 2.2805 (2.2008)	Prec@1 49.219 (44.668)	Prec@5 75.000 (75.244)
Epoch: [40][2770/14090]	Time 0.736 (0.769)	Data 0.001 (0.003)	Loss 1.9747 (2.2006)	Prec@1 44.531 (44.666)	Prec@5 84.375 (75.249)
Epoch: [40][2780/14090]	Time 0.756 (0.769)	Data 0.001 (0.003)	Loss 2.2631 (2.2007)	Prec@1 42.188 (44.661)	Prec@5 75.000 (75.244)
Epoch: [40][2790/14090]	Time 0.748 (0.769)	Data 0.001 (0.003)	Loss 2.2611 (2.2006)	Prec@1 46.094 (44.669)	Prec@5 75.781 (75.247)
Epoch: [40][2800/14090]	Time 0.751 (0.769)	Data 0.001 (0.003)	Loss 2.4167 (2.2007)	Prec@1 42.969 (44.663)	Prec@5 68.750 (75.245)
Epoch: [40][2810/14090]	Time 0.727 (0.769)	Data 0.001 (0.003)	Loss 2.1086 (2.2008)	Prec@1 45.312 (44.664)	Prec@5 82.031 (75.247)
Epoch: [40][2820/14090]	Time 0.856 (0.769)	Data 0.001 (0.003)	Loss 2.6855 (2.2012)	Prec@1 30.469 (44.655)	Prec@5 66.406 (75.241)
Epoch: [40][2830/14090]	Time 0.745 (0.769)	Data 0.001 (0.003)	Loss 2.3397 (2.2014)	Prec@1 47.656 (44.655)	Prec@5 72.656 (75.237)
Epoch: [40][2840/14090]	Time 0.756 (0.769)	Data 0.001 (0.003)	Loss 2.3819 (2.2016)	Prec@1 35.938 (44.648)	Prec@5 71.875 (75.235)
Epoch: [40][2850/14090]	Time 0.753 (0.769)	Data 0.001 (0.003)	Loss 2.3832 (2.2017)	Prec@1 39.062 (44.644)	Prec@5 71.094 (75.232)
Epoch: [40][2860/14090]	Time 0.738 (0.769)	Data 0.001 (0.003)	Loss 2.2723 (2.2018)	Prec@1 43.750 (44.643)	Prec@5 71.875 (75.227)
Epoch: [40][2870/14090]	Time 0.755 (0.769)	Data 0.001 (0.003)	Loss 2.3906 (2.2017)	Prec@1 42.188 (44.645)	Prec@5 75.000 (75.229)
Epoch: [40][2880/14090]	Time 0.755 (0.769)	Data 0.001 (0.003)	Loss 1.8790 (2.2014)	Prec@1 50.000 (44.648)	Prec@5 83.594 (75.233)
Epoch: [40][2890/14090]	Time 0.891 (0.769)	Data 0.001 (0.003)	Loss 1.9755 (2.2012)	Prec@1 51.562 (44.652)	Prec@5 79.688 (75.236)
Epoch: [40][2900/14090]	Time 0.724 (0.769)	Data 0.002 (0.003)	Loss 2.5821 (2.2013)	Prec@1 33.594 (44.648)	Prec@5 69.531 (75.236)
Epoch: [40][2910/14090]	Time 0.755 (0.769)	Data 0.001 (0.003)	Loss 2.3031 (2.2011)	Prec@1 45.312 (44.655)	Prec@5 70.312 (75.233)
Epoch: [40][2920/14090]	Time 0.732 (0.769)	Data 0.001 (0.003)	Loss 2.6052 (2.2015)	Prec@1 35.156 (44.648)	Prec@5 68.750 (75.223)
Epoch: [40][2930/14090]	Time 0.739 (0.769)	Data 0.001 (0.003)	Loss 2.4470 (2.2019)	Prec@1 36.719 (44.638)	Prec@5 66.406 (75.215)
Epoch: [40][2940/14090]	Time 0.736 (0.769)	Data 0.001 (0.003)	Loss 2.1414 (2.2016)	Prec@1 45.312 (44.639)	Prec@5 73.438 (75.217)
Epoch: [40][2950/14090]	Time 0.757 (0.769)	Data 0.001 (0.003)	Loss 2.5715 (2.2017)	Prec@1 40.625 (44.637)	Prec@5 66.406 (75.213)
Epoch: [40][2960/14090]	Time 0.856 (0.769)	Data 0.001 (0.003)	Loss 2.1018 (2.2018)	Prec@1 50.781 (44.641)	Prec@5 75.781 (75.210)
Epoch: [40][2970/14090]	Time 0.756 (0.769)	Data 0.001 (0.003)	Loss 2.0548 (2.2020)	Prec@1 46.875 (44.639)	Prec@5 78.125 (75.209)
Epoch: [40][2980/14090]	Time 0.740 (0.769)	Data 0.001 (0.003)	Loss 2.3976 (2.2025)	Prec@1 42.969 (44.630)	Prec@5 71.094 (75.201)
Epoch: [40][2990/14090]	Time 0.749 (0.769)	Data 0.001 (0.003)	Loss 2.1308 (2.2026)	Prec@1 42.188 (44.629)	Prec@5 77.344 (75.200)
Epoch: [40][3000/14090]	Time 0.749 (0.769)	Data 0.001 (0.003)	Loss 2.1736 (2.2026)	Prec@1 45.312 (44.629)	Prec@5 71.875 (75.198)
Epoch: [40][3010/14090]	Time 0.771 (0.769)	Data 0.001 (0.003)	Loss 2.3372 (2.2027)	Prec@1 41.406 (44.628)	Prec@5 71.875 (75.198)
Epoch: [40][3020/14090]	Time 0.739 (0.769)	Data 0.001 (0.003)	Loss 2.1264 (2.2027)	Prec@1 47.656 (44.629)	Prec@5 72.656 (75.197)
Epoch: [40][3030/14090]	Time 0.888 (0.769)	Data 0.001 (0.003)	Loss 2.4807 (2.2029)	Prec@1 39.062 (44.630)	Prec@5 71.094 (75.193)
Epoch: [40][3040/14090]	Time 0.749 (0.769)	Data 0.001 (0.002)	Loss 1.9852 (2.2027)	Prec@1 48.438 (44.637)	Prec@5 80.469 (75.197)
Epoch: [40][3050/14090]	Time 0.737 (0.769)	Data 0.001 (0.002)	Loss 1.9846 (2.2026)	Prec@1 53.125 (44.639)	Prec@5 80.469 (75.198)
Epoch: [40][3060/14090]	Time 0.747 (0.769)	Data 0.001 (0.002)	Loss 2.6636 (2.2029)	Prec@1 35.938 (44.633)	Prec@5 62.500 (75.186)
Epoch: [40][3070/14090]	Time 0.725 (0.769)	Data 0.001 (0.002)	Loss 2.3051 (2.2028)	Prec@1 42.969 (44.637)	Prec@5 72.656 (75.188)
Epoch: [40][3080/14090]	Time 0.760 (0.769)	Data 0.001 (0.002)	Loss 2.4695 (2.2030)	Prec@1 37.500 (44.628)	Prec@5 70.312 (75.185)
Epoch: [40][3090/14090]	Time 0.750 (0.769)	Data 0.001 (0.002)	Loss 2.0694 (2.2033)	Prec@1 40.625 (44.619)	Prec@5 77.344 (75.179)
Epoch: [40][3100/14090]	Time 0.940 (0.769)	Data 0.001 (0.002)	Loss 2.2065 (2.2035)	Prec@1 45.312 (44.613)	Prec@5 77.344 (75.178)
Epoch: [40][3110/14090]	Time 0.748 (0.769)	Data 0.001 (0.002)	Loss 2.2978 (2.2034)	Prec@1 36.719 (44.614)	Prec@5 73.438 (75.178)
Epoch: [40][3120/14090]	Time 0.734 (0.769)	Data 0.001 (0.002)	Loss 1.9733 (2.2031)	Prec@1 50.781 (44.618)	Prec@5 80.469 (75.182)
Epoch: [40][3130/14090]	Time 0.744 (0.769)	Data 0.001 (0.002)	Loss 2.4255 (2.2037)	Prec@1 37.500 (44.611)	Prec@5 71.094 (75.173)
Epoch: [40][3140/14090]	Time 0.755 (0.769)	Data 0.001 (0.002)	Loss 2.2403 (2.2036)	Prec@1 42.188 (44.608)	Prec@5 70.312 (75.171)
Epoch: [40][3150/14090]	Time 0.739 (0.769)	Data 0.001 (0.002)	Loss 2.3210 (2.2038)	Prec@1 42.969 (44.603)	Prec@5 73.438 (75.168)
Epoch: [40][3160/14090]	Time 0.752 (0.769)	Data 0.001 (0.002)	Loss 2.5603 (2.2043)	Prec@1 41.406 (44.596)	Prec@5 72.656 (75.155)
Epoch: [40][3170/14090]	Time 0.839 (0.769)	Data 0.001 (0.002)	Loss 1.9411 (2.2041)	Prec@1 42.969 (44.598)	Prec@5 80.469 (75.161)
Epoch: [40][3180/14090]	Time 0.731 (0.769)	Data 0.001 (0.002)	Loss 2.2007 (2.2040)	Prec@1 45.312 (44.600)	Prec@5 78.125 (75.164)
Epoch: [40][3190/14090]	Time 0.752 (0.769)	Data 0.001 (0.002)	Loss 2.0898 (2.2041)	Prec@1 39.844 (44.597)	Prec@5 75.000 (75.164)
Epoch: [40][3200/14090]	Time 0.753 (0.769)	Data 0.001 (0.002)	Loss 1.9776 (2.2041)	Prec@1 46.094 (44.595)	Prec@5 80.469 (75.162)
Epoch: [40][3210/14090]	Time 0.736 (0.769)	Data 0.001 (0.002)	Loss 2.1620 (2.2040)	Prec@1 42.188 (44.594)	Prec@5 75.000 (75.167)
Epoch: [40][3220/14090]	Time 0.751 (0.769)	Data 0.002 (0.002)	Loss 2.1693 (2.2040)	Prec@1 46.875 (44.591)	Prec@5 75.000 (75.166)
Epoch: [40][3230/14090]	Time 0.741 (0.769)	Data 0.001 (0.002)	Loss 1.8786 (2.2038)	Prec@1 55.469 (44.593)	Prec@5 81.250 (75.172)
Epoch: [40][3240/14090]	Time 0.868 (0.769)	Data 0.001 (0.002)	Loss 2.1484 (2.2037)	Prec@1 42.969 (44.595)	Prec@5 75.781 (75.176)
Epoch: [40][3250/14090]	Time 0.739 (0.769)	Data 0.001 (0.002)	Loss 2.5008 (2.2038)	Prec@1 41.406 (44.591)	Prec@5 69.531 (75.174)
Epoch: [40][3260/14090]	Time 0.763 (0.769)	Data 0.001 (0.002)	Loss 2.0448 (2.2038)	Prec@1 46.875 (44.589)	Prec@5 78.125 (75.174)
Epoch: [40][3270/14090]	Time 0.739 (0.769)	Data 0.001 (0.002)	Loss 1.9297 (2.2038)	Prec@1 54.688 (44.583)	Prec@5 78.906 (75.176)
Epoch: [40][3280/14090]	Time 0.753 (0.769)	Data 0.001 (0.002)	Loss 2.1588 (2.2036)	Prec@1 43.750 (44.589)	Prec@5 75.781 (75.178)
Epoch: [40][3290/14090]	Time 0.751 (0.769)	Data 0.001 (0.002)	Loss 2.1264 (2.2033)	Prec@1 44.531 (44.593)	Prec@5 77.344 (75.189)
Epoch: [40][3300/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 2.0073 (2.2033)	Prec@1 46.875 (44.594)	Prec@5 79.688 (75.186)
Epoch: [40][3310/14090]	Time 0.895 (0.768)	Data 0.001 (0.002)	Loss 2.4337 (2.2033)	Prec@1 39.062 (44.598)	Prec@5 64.844 (75.186)
Epoch: [40][3320/14090]	Time 0.754 (0.768)	Data 0.001 (0.002)	Loss 2.3661 (2.2036)	Prec@1 47.656 (44.592)	Prec@5 70.312 (75.178)
Epoch: [40][3330/14090]	Time 0.734 (0.768)	Data 0.001 (0.002)	Loss 2.0572 (2.2037)	Prec@1 47.656 (44.591)	Prec@5 76.562 (75.175)
Epoch: [40][3340/14090]	Time 0.741 (0.768)	Data 0.001 (0.002)	Loss 2.2248 (2.2036)	Prec@1 42.969 (44.595)	Prec@5 76.562 (75.176)
Epoch: [40][3350/14090]	Time 0.746 (0.768)	Data 0.001 (0.002)	Loss 2.3362 (2.2037)	Prec@1 40.625 (44.588)	Prec@5 72.656 (75.173)
Epoch: [40][3360/14090]	Time 0.728 (0.768)	Data 0.001 (0.002)	Loss 2.0565 (2.2037)	Prec@1 47.656 (44.588)	Prec@5 76.562 (75.173)
Epoch: [40][3370/14090]	Time 0.761 (0.768)	Data 0.001 (0.002)	Loss 2.2782 (2.2039)	Prec@1 46.094 (44.586)	Prec@5 72.656 (75.166)
Epoch: [40][3380/14090]	Time 0.917 (0.768)	Data 0.001 (0.002)	Loss 2.0669 (2.2040)	Prec@1 45.312 (44.582)	Prec@5 76.562 (75.165)
Epoch: [40][3390/14090]	Time 0.728 (0.768)	Data 0.001 (0.002)	Loss 2.3849 (2.2039)	Prec@1 36.719 (44.581)	Prec@5 74.219 (75.164)
Epoch: [40][3400/14090]	Time 0.759 (0.768)	Data 0.001 (0.002)	Loss 2.3360 (2.2043)	Prec@1 43.750 (44.573)	Prec@5 68.750 (75.158)
Epoch: [40][3410/14090]	Time 0.758 (0.768)	Data 0.001 (0.002)	Loss 2.3030 (2.2043)	Prec@1 41.406 (44.568)	Prec@5 73.438 (75.159)
Epoch: [40][3420/14090]	Time 0.743 (0.768)	Data 0.001 (0.002)	Loss 2.1354 (2.2041)	Prec@1 39.062 (44.575)	Prec@5 76.562 (75.168)
Epoch: [40][3430/14090]	Time 0.755 (0.768)	Data 0.001 (0.002)	Loss 2.4162 (2.2041)	Prec@1 39.844 (44.567)	Prec@5 72.656 (75.167)
Epoch: [40][3440/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 2.1531 (2.2040)	Prec@1 46.875 (44.570)	Prec@5 75.781 (75.170)
Epoch: [40][3450/14090]	Time 0.869 (0.768)	Data 0.001 (0.002)	Loss 2.2619 (2.2039)	Prec@1 40.625 (44.568)	Prec@5 67.188 (75.170)
Epoch: [40][3460/14090]	Time 0.757 (0.768)	Data 0.001 (0.002)	Loss 2.0582 (2.2041)	Prec@1 47.656 (44.564)	Prec@5 77.344 (75.166)
Epoch: [40][3470/14090]	Time 0.758 (0.768)	Data 0.001 (0.002)	Loss 2.2063 (2.2041)	Prec@1 48.438 (44.565)	Prec@5 73.438 (75.167)
Epoch: [40][3480/14090]	Time 0.747 (0.768)	Data 0.001 (0.002)	Loss 2.3599 (2.2041)	Prec@1 42.969 (44.566)	Prec@5 67.969 (75.161)
Epoch: [40][3490/14090]	Time 0.721 (0.768)	Data 0.001 (0.002)	Loss 2.4195 (2.2040)	Prec@1 39.062 (44.568)	Prec@5 71.875 (75.160)
Epoch: [40][3500/14090]	Time 0.726 (0.768)	Data 0.001 (0.002)	Loss 2.2970 (2.2042)	Prec@1 39.062 (44.560)	Prec@5 75.781 (75.159)
Epoch: [40][3510/14090]	Time 0.749 (0.768)	Data 0.001 (0.002)	Loss 2.2580 (2.2043)	Prec@1 42.969 (44.556)	Prec@5 76.562 (75.159)
Epoch: [40][3520/14090]	Time 0.844 (0.768)	Data 0.001 (0.002)	Loss 2.0967 (2.2043)	Prec@1 46.094 (44.555)	Prec@5 76.562 (75.159)
Epoch: [40][3530/14090]	Time 0.748 (0.768)	Data 0.001 (0.002)	Loss 2.1329 (2.2043)	Prec@1 40.625 (44.555)	Prec@5 73.438 (75.156)
Epoch: [40][3540/14090]	Time 0.736 (0.768)	Data 0.001 (0.002)	Loss 2.0462 (2.2042)	Prec@1 44.531 (44.557)	Prec@5 75.781 (75.156)
Epoch: [40][3550/14090]	Time 0.783 (0.768)	Data 0.001 (0.002)	Loss 2.0030 (2.2040)	Prec@1 49.219 (44.562)	Prec@5 76.562 (75.163)
Epoch: [40][3560/14090]	Time 0.768 (0.768)	Data 0.001 (0.002)	Loss 2.1202 (2.2041)	Prec@1 46.094 (44.562)	Prec@5 78.125 (75.159)
Epoch: [40][3570/14090]	Time 0.749 (0.768)	Data 0.001 (0.002)	Loss 2.0079 (2.2040)	Prec@1 43.750 (44.566)	Prec@5 78.125 (75.164)
Epoch: [40][3580/14090]	Time 0.759 (0.768)	Data 0.001 (0.002)	Loss 2.2451 (2.2038)	Prec@1 43.750 (44.567)	Prec@5 75.781 (75.167)
Epoch: [40][3590/14090]	Time 0.865 (0.768)	Data 0.001 (0.002)	Loss 2.1158 (2.2039)	Prec@1 46.094 (44.566)	Prec@5 76.562 (75.168)
Epoch: [40][3600/14090]	Time 0.757 (0.768)	Data 0.001 (0.002)	Loss 2.0710 (2.2036)	Prec@1 48.438 (44.574)	Prec@5 77.344 (75.173)
Epoch: [40][3610/14090]	Time 0.759 (0.768)	Data 0.001 (0.002)	Loss 2.1082 (2.2037)	Prec@1 47.656 (44.570)	Prec@5 79.688 (75.173)
Epoch: [40][3620/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 2.2976 (2.2036)	Prec@1 41.406 (44.574)	Prec@5 75.000 (75.173)
Epoch: [40][3630/14090]	Time 0.750 (0.768)	Data 0.001 (0.002)	Loss 2.5363 (2.2039)	Prec@1 30.469 (44.568)	Prec@5 66.406 (75.163)
Epoch: [40][3640/14090]	Time 0.754 (0.768)	Data 0.001 (0.002)	Loss 2.2265 (2.2039)	Prec@1 44.531 (44.569)	Prec@5 75.000 (75.161)
Epoch: [40][3650/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 2.2292 (2.2039)	Prec@1 41.406 (44.567)	Prec@5 76.562 (75.161)
Epoch: [40][3660/14090]	Time 1.005 (0.768)	Data 0.001 (0.002)	Loss 1.9739 (2.2039)	Prec@1 44.531 (44.567)	Prec@5 79.688 (75.162)
Epoch: [40][3670/14090]	Time 0.725 (0.768)	Data 0.001 (0.002)	Loss 2.1298 (2.2040)	Prec@1 44.531 (44.568)	Prec@5 75.781 (75.158)
Epoch: [40][3680/14090]	Time 0.751 (0.768)	Data 0.002 (0.002)	Loss 2.6387 (2.2041)	Prec@1 36.719 (44.565)	Prec@5 66.406 (75.155)
Epoch: [40][3690/14090]	Time 0.755 (0.768)	Data 0.001 (0.002)	Loss 2.1749 (2.2040)	Prec@1 47.656 (44.563)	Prec@5 74.219 (75.159)
Epoch: [40][3700/14090]	Time 0.756 (0.768)	Data 0.001 (0.002)	Loss 2.3713 (2.2042)	Prec@1 42.188 (44.558)	Prec@5 72.656 (75.156)
Epoch: [40][3710/14090]	Time 0.770 (0.768)	Data 0.002 (0.002)	Loss 2.2193 (2.2041)	Prec@1 44.531 (44.560)	Prec@5 73.438 (75.156)
Epoch: [40][3720/14090]	Time 0.762 (0.768)	Data 0.001 (0.002)	Loss 2.2423 (2.2040)	Prec@1 45.312 (44.565)	Prec@5 75.781 (75.160)
Epoch: [40][3730/14090]	Time 0.863 (0.768)	Data 0.001 (0.002)	Loss 2.2221 (2.2041)	Prec@1 42.969 (44.567)	Prec@5 75.781 (75.159)
Epoch: [40][3740/14090]	Time 0.737 (0.768)	Data 0.001 (0.002)	Loss 2.0236 (2.2040)	Prec@1 47.656 (44.564)	Prec@5 75.000 (75.160)
Epoch: [40][3750/14090]	Time 0.735 (0.768)	Data 0.001 (0.002)	Loss 2.2799 (2.2039)	Prec@1 42.188 (44.567)	Prec@5 72.656 (75.163)
Epoch: [40][3760/14090]	Time 0.764 (0.768)	Data 0.001 (0.002)	Loss 2.4428 (2.2040)	Prec@1 41.406 (44.565)	Prec@5 70.312 (75.161)
Epoch: [40][3770/14090]	Time 0.757 (0.768)	Data 0.002 (0.002)	Loss 1.9284 (2.2040)	Prec@1 52.344 (44.572)	Prec@5 81.250 (75.162)
Epoch: [40][3780/14090]	Time 0.737 (0.768)	Data 0.001 (0.002)	Loss 2.4267 (2.2041)	Prec@1 39.062 (44.566)	Prec@5 67.969 (75.158)
Epoch: [40][3790/14090]	Time 0.772 (0.768)	Data 0.001 (0.002)	Loss 2.3539 (2.2042)	Prec@1 36.719 (44.559)	Prec@5 76.562 (75.157)
Epoch: [40][3800/14090]	Time 0.899 (0.768)	Data 0.001 (0.002)	Loss 2.0880 (2.2042)	Prec@1 43.750 (44.560)	Prec@5 73.438 (75.160)
Epoch: [40][3810/14090]	Time 0.750 (0.768)	Data 0.001 (0.002)	Loss 2.2018 (2.2043)	Prec@1 43.750 (44.560)	Prec@5 76.562 (75.158)
Epoch: [40][3820/14090]	Time 0.739 (0.768)	Data 0.001 (0.002)	Loss 2.2685 (2.2044)	Prec@1 49.219 (44.558)	Prec@5 74.219 (75.159)
Epoch: [40][3830/14090]	Time 0.772 (0.768)	Data 0.001 (0.002)	Loss 2.2445 (2.2042)	Prec@1 44.531 (44.562)	Prec@5 75.781 (75.163)
Epoch: [40][3840/14090]	Time 0.749 (0.768)	Data 0.001 (0.002)	Loss 2.1899 (2.2044)	Prec@1 40.625 (44.555)	Prec@5 76.562 (75.156)
Epoch: [40][3850/14090]	Time 0.753 (0.768)	Data 0.001 (0.002)	Loss 2.2905 (2.2045)	Prec@1 36.719 (44.551)	Prec@5 70.312 (75.155)
Epoch: [40][3860/14090]	Time 0.775 (0.768)	Data 0.001 (0.002)	Loss 2.4938 (2.2048)	Prec@1 36.719 (44.545)	Prec@5 71.875 (75.148)
Epoch: [40][3870/14090]	Time 0.867 (0.768)	Data 0.001 (0.002)	Loss 2.0288 (2.2047)	Prec@1 50.781 (44.548)	Prec@5 76.562 (75.151)
Epoch: [40][3880/14090]	Time 0.764 (0.768)	Data 0.001 (0.002)	Loss 2.2244 (2.2049)	Prec@1 41.406 (44.547)	Prec@5 73.438 (75.151)
Epoch: [40][3890/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 2.2123 (2.2049)	Prec@1 46.094 (44.546)	Prec@5 73.438 (75.150)
Epoch: [40][3900/14090]	Time 0.762 (0.768)	Data 0.001 (0.002)	Loss 2.2628 (2.2051)	Prec@1 42.969 (44.546)	Prec@5 73.438 (75.148)
Epoch: [40][3910/14090]	Time 0.737 (0.768)	Data 0.001 (0.002)	Loss 2.2039 (2.2054)	Prec@1 42.188 (44.545)	Prec@5 71.875 (75.142)
Epoch: [40][3920/14090]	Time 0.729 (0.768)	Data 0.001 (0.002)	Loss 2.1950 (2.2052)	Prec@1 41.406 (44.546)	Prec@5 73.438 (75.142)
Epoch: [40][3930/14090]	Time 0.745 (0.768)	Data 0.001 (0.002)	Loss 2.0036 (2.2054)	Prec@1 48.438 (44.541)	Prec@5 78.125 (75.139)
Epoch: [40][3940/14090]	Time 0.907 (0.768)	Data 0.001 (0.002)	Loss 2.3627 (2.2056)	Prec@1 37.500 (44.533)	Prec@5 73.438 (75.133)
Epoch: [40][3950/14090]	Time 0.728 (0.768)	Data 0.001 (0.002)	Loss 2.4977 (2.2056)	Prec@1 40.625 (44.531)	Prec@5 71.875 (75.136)
Epoch: [40][3960/14090]	Time 0.722 (0.768)	Data 0.001 (0.002)	Loss 2.2813 (2.2055)	Prec@1 38.281 (44.526)	Prec@5 71.094 (75.138)
Epoch: [40][3970/14090]	Time 0.765 (0.768)	Data 0.001 (0.002)	Loss 2.1863 (2.2054)	Prec@1 39.844 (44.533)	Prec@5 75.781 (75.137)
Epoch: [40][3980/14090]	Time 0.755 (0.768)	Data 0.001 (0.002)	Loss 2.1217 (2.2055)	Prec@1 41.406 (44.540)	Prec@5 80.469 (75.138)
Epoch: [40][3990/14090]	Time 0.737 (0.768)	Data 0.001 (0.002)	Loss 2.2319 (2.2057)	Prec@1 43.750 (44.535)	Prec@5 75.781 (75.132)
Epoch: [40][4000/14090]	Time 0.738 (0.768)	Data 0.001 (0.002)	Loss 2.2835 (2.2060)	Prec@1 43.750 (44.529)	Prec@5 77.344 (75.127)
Epoch: [40][4010/14090]	Time 0.880 (0.768)	Data 0.001 (0.002)	Loss 2.2336 (2.2062)	Prec@1 42.188 (44.527)	Prec@5 73.438 (75.124)
Epoch: [40][4020/14090]	Time 0.747 (0.768)	Data 0.001 (0.002)	Loss 2.0664 (2.2062)	Prec@1 42.188 (44.525)	Prec@5 78.906 (75.123)
Epoch: [40][4030/14090]	Time 0.733 (0.768)	Data 0.001 (0.002)	Loss 2.3281 (2.2064)	Prec@1 46.094 (44.523)	Prec@5 71.875 (75.120)
Epoch: [40][4040/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 2.1851 (2.2063)	Prec@1 47.656 (44.523)	Prec@5 72.656 (75.122)
Epoch: [40][4050/14090]	Time 0.767 (0.768)	Data 0.001 (0.002)	Loss 1.9973 (2.2063)	Prec@1 43.750 (44.520)	Prec@5 80.469 (75.121)
Epoch: [40][4060/14090]	Time 0.759 (0.768)	Data 0.001 (0.002)	Loss 2.0561 (2.2063)	Prec@1 42.969 (44.517)	Prec@5 82.812 (75.121)
Epoch: [40][4070/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 2.4154 (2.2065)	Prec@1 40.625 (44.513)	Prec@5 74.219 (75.121)
Epoch: [40][4080/14090]	Time 0.838 (0.768)	Data 0.001 (0.002)	Loss 2.5092 (2.2066)	Prec@1 37.500 (44.513)	Prec@5 73.438 (75.119)
Epoch: [40][4090/14090]	Time 0.748 (0.768)	Data 0.001 (0.002)	Loss 1.9551 (2.2066)	Prec@1 50.781 (44.513)	Prec@5 78.125 (75.116)
Epoch: [40][4100/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 1.8809 (2.2068)	Prec@1 50.000 (44.506)	Prec@5 78.906 (75.114)
Epoch: [40][4110/14090]	Time 0.756 (0.768)	Data 0.001 (0.002)	Loss 2.1098 (2.2068)	Prec@1 43.750 (44.504)	Prec@5 75.781 (75.114)
Epoch: [40][4120/14090]	Time 0.743 (0.768)	Data 0.001 (0.002)	Loss 2.2023 (2.2068)	Prec@1 47.656 (44.505)	Prec@5 74.219 (75.115)
Epoch: [40][4130/14090]	Time 0.772 (0.768)	Data 0.001 (0.002)	Loss 2.1854 (2.2068)	Prec@1 43.750 (44.508)	Prec@5 74.219 (75.117)
Epoch: [40][4140/14090]	Time 0.781 (0.768)	Data 0.001 (0.002)	Loss 2.2297 (2.2067)	Prec@1 46.875 (44.509)	Prec@5 74.219 (75.119)
Epoch: [40][4150/14090]	Time 0.842 (0.768)	Data 0.001 (0.002)	Loss 2.3724 (2.2069)	Prec@1 40.625 (44.505)	Prec@5 71.094 (75.112)
Epoch: [40][4160/14090]	Time 0.756 (0.768)	Data 0.001 (0.002)	Loss 1.9834 (2.2070)	Prec@1 46.875 (44.507)	Prec@5 78.906 (75.113)
Epoch: [40][4170/14090]	Time 0.733 (0.768)	Data 0.001 (0.002)	Loss 2.5423 (2.2072)	Prec@1 39.062 (44.503)	Prec@5 67.969 (75.108)
Epoch: [40][4180/14090]	Time 0.753 (0.768)	Data 0.001 (0.002)	Loss 2.1692 (2.2070)	Prec@1 51.562 (44.510)	Prec@5 76.562 (75.112)
Epoch: [40][4190/14090]	Time 0.764 (0.768)	Data 0.001 (0.002)	Loss 2.3748 (2.2072)	Prec@1 39.844 (44.506)	Prec@5 74.219 (75.105)
Epoch: [40][4200/14090]	Time 0.765 (0.768)	Data 0.001 (0.002)	Loss 2.1048 (2.2073)	Prec@1 47.656 (44.503)	Prec@5 78.125 (75.103)
Epoch: [40][4210/14090]	Time 0.754 (0.768)	Data 0.001 (0.002)	Loss 2.3645 (2.2074)	Prec@1 42.188 (44.500)	Prec@5 73.438 (75.102)
Epoch: [40][4220/14090]	Time 0.843 (0.768)	Data 0.001 (0.002)	Loss 2.1883 (2.2071)	Prec@1 46.094 (44.503)	Prec@5 77.344 (75.108)
Epoch: [40][4230/14090]	Time 0.745 (0.768)	Data 0.001 (0.002)	Loss 2.1514 (2.2074)	Prec@1 48.438 (44.495)	Prec@5 72.656 (75.101)
Epoch: [40][4240/14090]	Time 0.758 (0.768)	Data 0.001 (0.002)	Loss 2.5889 (2.2075)	Prec@1 38.281 (44.494)	Prec@5 71.094 (75.099)
Epoch: [40][4250/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 2.1935 (2.2077)	Prec@1 47.656 (44.491)	Prec@5 77.344 (75.100)
Epoch: [40][4260/14090]	Time 0.757 (0.768)	Data 0.001 (0.002)	Loss 2.1969 (2.2079)	Prec@1 41.406 (44.484)	Prec@5 78.125 (75.099)
Epoch: [40][4270/14090]	Time 0.765 (0.768)	Data 0.001 (0.002)	Loss 2.0085 (2.2079)	Prec@1 48.438 (44.483)	Prec@5 74.219 (75.097)
Epoch: [40][4280/14090]	Time 0.738 (0.768)	Data 0.001 (0.002)	Loss 2.1853 (2.2077)	Prec@1 46.094 (44.487)	Prec@5 75.000 (75.103)
Epoch: [40][4290/14090]	Time 0.863 (0.768)	Data 0.001 (0.002)	Loss 2.5594 (2.2076)	Prec@1 34.375 (44.487)	Prec@5 68.750 (75.105)
Epoch: [40][4300/14090]	Time 0.739 (0.768)	Data 0.001 (0.002)	Loss 2.2397 (2.2076)	Prec@1 46.094 (44.488)	Prec@5 72.656 (75.104)
Epoch: [40][4310/14090]	Time 0.732 (0.768)	Data 0.001 (0.002)	Loss 2.2359 (2.2077)	Prec@1 44.531 (44.484)	Prec@5 77.344 (75.100)
Epoch: [40][4320/14090]	Time 0.739 (0.768)	Data 0.001 (0.002)	Loss 2.0827 (2.2078)	Prec@1 50.000 (44.487)	Prec@5 78.125 (75.101)
Epoch: [40][4330/14090]	Time 0.769 (0.768)	Data 0.001 (0.002)	Loss 2.2031 (2.2078)	Prec@1 47.656 (44.491)	Prec@5 75.000 (75.101)
Epoch: [40][4340/14090]	Time 0.736 (0.768)	Data 0.001 (0.002)	Loss 2.0785 (2.2079)	Prec@1 43.750 (44.493)	Prec@5 76.562 (75.097)
Epoch: [40][4350/14090]	Time 0.756 (0.768)	Data 0.001 (0.002)	Loss 2.3049 (2.2080)	Prec@1 41.406 (44.489)	Prec@5 71.094 (75.098)
Epoch: [40][4360/14090]	Time 0.882 (0.768)	Data 0.001 (0.002)	Loss 2.2967 (2.2080)	Prec@1 44.531 (44.489)	Prec@5 74.219 (75.096)
Epoch: [40][4370/14090]	Time 0.753 (0.768)	Data 0.001 (0.002)	Loss 2.2615 (2.2082)	Prec@1 39.062 (44.489)	Prec@5 75.781 (75.093)
Epoch: [40][4380/14090]	Time 0.780 (0.768)	Data 0.001 (0.002)	Loss 2.3178 (2.2081)	Prec@1 42.969 (44.487)	Prec@5 75.000 (75.092)
Epoch: [40][4390/14090]	Time 0.779 (0.768)	Data 0.001 (0.002)	Loss 2.3432 (2.2081)	Prec@1 42.188 (44.487)	Prec@5 71.094 (75.093)
Epoch: [40][4400/14090]	Time 0.749 (0.768)	Data 0.001 (0.002)	Loss 2.2391 (2.2082)	Prec@1 40.625 (44.485)	Prec@5 78.125 (75.093)
Epoch: [40][4410/14090]	Time 0.753 (0.768)	Data 0.001 (0.002)	Loss 2.2214 (2.2080)	Prec@1 43.750 (44.487)	Prec@5 78.125 (75.095)
Epoch: [40][4420/14090]	Time 0.737 (0.768)	Data 0.001 (0.002)	Loss 2.0742 (2.2080)	Prec@1 48.438 (44.491)	Prec@5 79.688 (75.095)
Epoch: [40][4430/14090]	Time 0.846 (0.768)	Data 0.001 (0.002)	Loss 2.1608 (2.2080)	Prec@1 50.781 (44.493)	Prec@5 78.125 (75.095)
Epoch: [40][4440/14090]	Time 0.726 (0.768)	Data 0.001 (0.002)	Loss 2.2379 (2.2081)	Prec@1 41.406 (44.492)	Prec@5 70.312 (75.095)
Epoch: [40][4450/14090]	Time 0.757 (0.768)	Data 0.001 (0.002)	Loss 2.0954 (2.2082)	Prec@1 46.094 (44.488)	Prec@5 75.781 (75.094)
Epoch: [40][4460/14090]	Time 0.760 (0.768)	Data 0.001 (0.002)	Loss 2.1183 (2.2082)	Prec@1 46.875 (44.488)	Prec@5 75.781 (75.095)
Epoch: [40][4470/14090]	Time 0.765 (0.768)	Data 0.001 (0.002)	Loss 2.3404 (2.2081)	Prec@1 46.875 (44.494)	Prec@5 71.094 (75.094)
Epoch: [40][4480/14090]	Time 0.754 (0.768)	Data 0.001 (0.002)	Loss 2.0761 (2.2080)	Prec@1 48.438 (44.496)	Prec@5 77.344 (75.095)
Epoch: [40][4490/14090]	Time 0.724 (0.768)	Data 0.001 (0.002)	Loss 2.4007 (2.2082)	Prec@1 42.969 (44.491)	Prec@5 71.875 (75.093)
Epoch: [40][4500/14090]	Time 0.881 (0.768)	Data 0.001 (0.002)	Loss 2.2581 (2.2083)	Prec@1 42.188 (44.487)	Prec@5 75.000 (75.092)
Epoch: [40][4510/14090]	Time 0.759 (0.768)	Data 0.001 (0.002)	Loss 2.2338 (2.2082)	Prec@1 45.312 (44.493)	Prec@5 78.906 (75.093)
Epoch: [40][4520/14090]	Time 0.749 (0.768)	Data 0.001 (0.002)	Loss 2.2321 (2.2080)	Prec@1 41.406 (44.495)	Prec@5 71.875 (75.096)
Epoch: [40][4530/14090]	Time 0.755 (0.768)	Data 0.001 (0.002)	Loss 2.2039 (2.2080)	Prec@1 45.312 (44.491)	Prec@5 73.438 (75.096)
Epoch: [40][4540/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 2.0645 (2.2079)	Prec@1 53.125 (44.496)	Prec@5 77.344 (75.097)
Epoch: [40][4550/14090]	Time 0.726 (0.768)	Data 0.001 (0.002)	Loss 2.4345 (2.2078)	Prec@1 39.844 (44.497)	Prec@5 74.219 (75.098)
Epoch: [40][4560/14090]	Time 0.757 (0.768)	Data 0.001 (0.002)	Loss 2.3185 (2.2079)	Prec@1 39.844 (44.496)	Prec@5 79.688 (75.100)
Epoch: [40][4570/14090]	Time 0.884 (0.768)	Data 0.001 (0.002)	Loss 2.4414 (2.2080)	Prec@1 43.750 (44.492)	Prec@5 67.969 (75.098)
Epoch: [40][4580/14090]	Time 0.747 (0.768)	Data 0.001 (0.002)	Loss 2.0502 (2.2080)	Prec@1 44.531 (44.489)	Prec@5 78.906 (75.100)
Epoch: [40][4590/14090]	Time 0.727 (0.768)	Data 0.001 (0.002)	Loss 2.0707 (2.2080)	Prec@1 41.406 (44.490)	Prec@5 76.562 (75.100)
Epoch: [40][4600/14090]	Time 0.739 (0.768)	Data 0.001 (0.002)	Loss 2.0085 (2.2077)	Prec@1 46.875 (44.495)	Prec@5 78.906 (75.106)
Epoch: [40][4610/14090]	Time 0.763 (0.768)	Data 0.001 (0.002)	Loss 2.2998 (2.2079)	Prec@1 45.312 (44.490)	Prec@5 75.000 (75.101)
Epoch: [40][4620/14090]	Time 0.743 (0.768)	Data 0.001 (0.002)	Loss 2.1270 (2.2080)	Prec@1 46.094 (44.490)	Prec@5 73.438 (75.099)
Epoch: [40][4630/14090]	Time 0.754 (0.768)	Data 0.001 (0.002)	Loss 2.3452 (2.2080)	Prec@1 46.094 (44.492)	Prec@5 70.312 (75.098)
Epoch: [40][4640/14090]	Time 0.847 (0.768)	Data 0.001 (0.002)	Loss 2.2653 (2.2082)	Prec@1 48.438 (44.491)	Prec@5 75.781 (75.094)
Epoch: [40][4650/14090]	Time 0.753 (0.768)	Data 0.001 (0.002)	Loss 2.3177 (2.2082)	Prec@1 41.406 (44.490)	Prec@5 70.312 (75.093)
Epoch: [40][4660/14090]	Time 0.750 (0.768)	Data 0.001 (0.002)	Loss 2.2569 (2.2083)	Prec@1 49.219 (44.489)	Prec@5 73.438 (75.094)
Epoch: [40][4670/14090]	Time 0.734 (0.768)	Data 0.001 (0.002)	Loss 2.2500 (2.2081)	Prec@1 46.875 (44.494)	Prec@5 75.781 (75.096)
Epoch: [40][4680/14090]	Time 0.730 (0.768)	Data 0.001 (0.002)	Loss 2.2721 (2.2084)	Prec@1 44.531 (44.485)	Prec@5 71.094 (75.090)
Epoch: [40][4690/14090]	Time 0.759 (0.768)	Data 0.001 (0.002)	Loss 2.1202 (2.2084)	Prec@1 41.406 (44.481)	Prec@5 77.344 (75.090)
Epoch: [40][4700/14090]	Time 0.745 (0.768)	Data 0.001 (0.002)	Loss 2.2171 (2.2084)	Prec@1 39.844 (44.483)	Prec@5 72.656 (75.092)
Epoch: [40][4710/14090]	Time 0.843 (0.768)	Data 0.001 (0.002)	Loss 2.4120 (2.2083)	Prec@1 38.281 (44.482)	Prec@5 71.875 (75.094)
Epoch: [40][4720/14090]	Time 0.746 (0.768)	Data 0.001 (0.002)	Loss 1.8951 (2.2084)	Prec@1 50.000 (44.479)	Prec@5 77.344 (75.091)
Epoch: [40][4730/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 2.0413 (2.2085)	Prec@1 52.344 (44.479)	Prec@5 75.781 (75.091)
Epoch: [40][4740/14090]	Time 0.752 (0.768)	Data 0.001 (0.002)	Loss 2.0703 (2.2085)	Prec@1 46.875 (44.484)	Prec@5 74.219 (75.089)
Epoch: [40][4750/14090]	Time 0.760 (0.768)	Data 0.001 (0.002)	Loss 2.3629 (2.2085)	Prec@1 35.938 (44.482)	Prec@5 76.562 (75.088)
Epoch: [40][4760/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 2.0318 (2.2086)	Prec@1 47.656 (44.480)	Prec@5 79.688 (75.085)
Epoch: [40][4770/14090]	Time 0.744 (0.768)	Data 0.001 (0.002)	Loss 2.3270 (2.2087)	Prec@1 42.188 (44.477)	Prec@5 67.969 (75.082)
Epoch: [40][4780/14090]	Time 0.920 (0.768)	Data 0.002 (0.002)	Loss 2.2116 (2.2088)	Prec@1 46.094 (44.477)	Prec@5 71.094 (75.078)
Epoch: [40][4790/14090]	Time 0.745 (0.768)	Data 0.001 (0.002)	Loss 2.2240 (2.2087)	Prec@1 41.406 (44.479)	Prec@5 70.312 (75.075)
Epoch: [40][4800/14090]	Time 0.766 (0.768)	Data 0.001 (0.002)	Loss 2.2602 (2.2087)	Prec@1 43.750 (44.481)	Prec@5 76.562 (75.078)
Epoch: [40][4810/14090]	Time 0.723 (0.768)	Data 0.001 (0.002)	Loss 2.2191 (2.2087)	Prec@1 43.750 (44.481)	Prec@5 75.781 (75.078)
Epoch: [40][4820/14090]	Time 0.754 (0.768)	Data 0.001 (0.002)	Loss 2.0591 (2.2087)	Prec@1 49.219 (44.479)	Prec@5 77.344 (75.080)
Epoch: [40][4830/14090]	Time 0.724 (0.768)	Data 0.001 (0.002)	Loss 2.2073 (2.2089)	Prec@1 40.625 (44.473)	Prec@5 75.781 (75.077)
Epoch: [40][4840/14090]	Time 0.770 (0.768)	Data 0.001 (0.002)	Loss 2.2239 (2.2090)	Prec@1 45.312 (44.468)	Prec@5 76.562 (75.078)
Epoch: [40][4850/14090]	Time 0.882 (0.768)	Data 0.001 (0.002)	Loss 2.2168 (2.2088)	Prec@1 43.750 (44.469)	Prec@5 78.125 (75.083)
Epoch: [40][4860/14090]	Time 0.776 (0.768)	Data 0.001 (0.002)	Loss 2.2680 (2.2088)	Prec@1 44.531 (44.470)	Prec@5 73.438 (75.083)
Epoch: [40][4870/14090]	Time 0.737 (0.768)	Data 0.001 (0.002)	Loss 2.4678 (2.2089)	Prec@1 44.531 (44.469)	Prec@5 66.406 (75.077)
Epoch: [40][4880/14090]	Time 0.754 (0.768)	Data 0.001 (0.002)	Loss 2.1168 (2.2088)	Prec@1 44.531 (44.468)	Prec@5 75.781 (75.081)
Epoch: [40][4890/14090]	Time 0.730 (0.768)	Data 0.001 (0.002)	Loss 1.9657 (2.2089)	Prec@1 47.656 (44.466)	Prec@5 77.344 (75.077)
Epoch: [40][4900/14090]	Time 0.739 (0.768)	Data 0.001 (0.002)	Loss 2.3504 (2.2088)	Prec@1 47.656 (44.468)	Prec@5 74.219 (75.078)
Epoch: [40][4910/14090]	Time 0.754 (0.768)	Data 0.001 (0.002)	Loss 2.0624 (2.2089)	Prec@1 49.219 (44.465)	Prec@5 78.906 (75.073)
Epoch: [40][4920/14090]	Time 0.914 (0.768)	Data 0.001 (0.002)	Loss 2.0120 (2.2089)	Prec@1 50.781 (44.469)	Prec@5 78.125 (75.073)
Epoch: [40][4930/14090]	Time 0.724 (0.768)	Data 0.001 (0.002)	Loss 2.3353 (2.2089)	Prec@1 41.406 (44.471)	Prec@5 75.781 (75.071)
Epoch: [40][4940/14090]	Time 0.732 (0.768)	Data 0.001 (0.002)	Loss 2.3953 (2.2088)	Prec@1 46.094 (44.474)	Prec@5 70.312 (75.071)
Epoch: [40][4950/14090]	Time 0.749 (0.768)	Data 0.001 (0.002)	Loss 1.9265 (2.2087)	Prec@1 50.781 (44.475)	Prec@5 82.031 (75.072)
Epoch: [40][4960/14090]	Time 0.745 (0.768)	Data 0.001 (0.002)	Loss 2.2627 (2.2088)	Prec@1 39.844 (44.472)	Prec@5 73.438 (75.068)
Epoch: [40][4970/14090]	Time 0.757 (0.768)	Data 0.001 (0.002)	Loss 2.1803 (2.2087)	Prec@1 45.312 (44.474)	Prec@5 73.438 (75.069)
Epoch: [40][4980/14090]	Time 0.771 (0.768)	Data 0.001 (0.002)	Loss 2.1897 (2.2087)	Prec@1 46.875 (44.477)	Prec@5 68.750 (75.069)
Epoch: [40][4990/14090]	Time 0.854 (0.768)	Data 0.001 (0.002)	Loss 2.1526 (2.2087)	Prec@1 42.188 (44.475)	Prec@5 77.344 (75.071)
Epoch: [40][5000/14090]	Time 0.757 (0.768)	Data 0.001 (0.002)	Loss 2.3223 (2.2088)	Prec@1 42.969 (44.472)	Prec@5 72.656 (75.068)
Epoch: [40][5010/14090]	Time 0.756 (0.768)	Data 0.001 (0.002)	Loss 2.2219 (2.2088)	Prec@1 42.188 (44.469)	Prec@5 75.000 (75.068)
Epoch: [40][5020/14090]	Time 0.747 (0.768)	Data 0.001 (0.002)	Loss 2.1480 (2.2088)	Prec@1 46.094 (44.468)	Prec@5 75.000 (75.067)
Epoch: [40][5030/14090]	Time 0.738 (0.768)	Data 0.001 (0.002)	Loss 2.1247 (2.2088)	Prec@1 49.219 (44.468)	Prec@5 71.875 (75.067)
Epoch: [40][5040/14090]	Time 0.761 (0.768)	Data 0.001 (0.002)	Loss 2.2140 (2.2088)	Prec@1 43.750 (44.468)	Prec@5 75.000 (75.066)
Epoch: [40][5050/14090]	Time 0.752 (0.768)	Data 0.001 (0.002)	Loss 2.5124 (2.2088)	Prec@1 33.594 (44.469)	Prec@5 67.969 (75.064)
Epoch: [40][5060/14090]	Time 0.897 (0.768)	Data 0.001 (0.002)	Loss 2.1657 (2.2086)	Prec@1 44.531 (44.470)	Prec@5 74.219 (75.069)
Epoch: [40][5070/14090]	Time 0.730 (0.768)	Data 0.001 (0.002)	Loss 2.1183 (2.2086)	Prec@1 47.656 (44.472)	Prec@5 74.219 (75.069)
Epoch: [40][5080/14090]	Time 0.748 (0.768)	Data 0.001 (0.002)	Loss 2.3410 (2.2085)	Prec@1 39.844 (44.469)	Prec@5 74.219 (75.073)
Epoch: [40][5090/14090]	Time 0.753 (0.768)	Data 0.001 (0.002)	Loss 2.1052 (2.2086)	Prec@1 51.562 (44.466)	Prec@5 71.875 (75.070)
Epoch: [40][5100/14090]	Time 0.735 (0.768)	Data 0.002 (0.002)	Loss 2.3386 (2.2086)	Prec@1 43.750 (44.468)	Prec@5 73.438 (75.070)
Epoch: [40][5110/14090]	Time 0.761 (0.768)	Data 0.001 (0.002)	Loss 2.2504 (2.2088)	Prec@1 44.531 (44.462)	Prec@5 76.562 (75.067)
Epoch: [40][5120/14090]	Time 0.754 (0.768)	Data 0.001 (0.002)	Loss 2.3547 (2.2089)	Prec@1 37.500 (44.463)	Prec@5 74.219 (75.066)
Epoch: [40][5130/14090]	Time 0.864 (0.768)	Data 0.001 (0.002)	Loss 2.1938 (2.2090)	Prec@1 48.438 (44.460)	Prec@5 77.344 (75.064)
Epoch: [40][5140/14090]	Time 0.757 (0.768)	Data 0.001 (0.002)	Loss 2.4115 (2.2092)	Prec@1 39.062 (44.457)	Prec@5 65.625 (75.058)
Epoch: [40][5150/14090]	Time 0.758 (0.768)	Data 0.001 (0.002)	Loss 2.2322 (2.2091)	Prec@1 42.969 (44.459)	Prec@5 75.781 (75.062)
Epoch: [40][5160/14090]	Time 0.764 (0.768)	Data 0.001 (0.002)	Loss 2.0136 (2.2091)	Prec@1 45.312 (44.457)	Prec@5 78.125 (75.059)
Epoch: [40][5170/14090]	Time 0.719 (0.768)	Data 0.001 (0.002)	Loss 2.1437 (2.2091)	Prec@1 42.969 (44.457)	Prec@5 72.656 (75.056)
Epoch: [40][5180/14090]	Time 0.754 (0.768)	Data 0.001 (0.002)	Loss 2.3461 (2.2092)	Prec@1 42.969 (44.455)	Prec@5 73.438 (75.054)
Epoch: [40][5190/14090]	Time 0.730 (0.768)	Data 0.001 (0.002)	Loss 1.9466 (2.2091)	Prec@1 49.219 (44.455)	Prec@5 78.906 (75.058)
Epoch: [40][5200/14090]	Time 0.908 (0.768)	Data 0.001 (0.002)	Loss 2.1204 (2.2092)	Prec@1 50.000 (44.455)	Prec@5 72.656 (75.057)
Epoch: [40][5210/14090]	Time 0.756 (0.768)	Data 0.001 (0.002)	Loss 2.0104 (2.2092)	Prec@1 46.875 (44.456)	Prec@5 77.344 (75.055)
Epoch: [40][5220/14090]	Time 0.731 (0.768)	Data 0.001 (0.002)	Loss 2.1757 (2.2092)	Prec@1 42.188 (44.457)	Prec@5 75.000 (75.053)
Epoch: [40][5230/14090]	Time 0.750 (0.768)	Data 0.001 (0.002)	Loss 1.9074 (2.2093)	Prec@1 49.219 (44.453)	Prec@5 77.344 (75.049)
Epoch: [40][5240/14090]	Time 0.777 (0.768)	Data 0.001 (0.002)	Loss 2.3078 (2.2094)	Prec@1 46.094 (44.453)	Prec@5 74.219 (75.049)
Epoch: [40][5250/14090]	Time 0.732 (0.768)	Data 0.001 (0.002)	Loss 2.2688 (2.2095)	Prec@1 46.094 (44.453)	Prec@5 74.219 (75.043)
Epoch: [40][5260/14090]	Time 0.767 (0.768)	Data 0.001 (0.002)	Loss 2.1511 (2.2095)	Prec@1 46.094 (44.452)	Prec@5 81.250 (75.044)
Epoch: [40][5270/14090]	Time 0.867 (0.768)	Data 0.001 (0.002)	Loss 2.2706 (2.2096)	Prec@1 39.062 (44.452)	Prec@5 73.438 (75.042)
Epoch: [40][5280/14090]	Time 0.724 (0.768)	Data 0.001 (0.002)	Loss 1.7972 (2.2094)	Prec@1 54.688 (44.455)	Prec@5 85.938 (75.047)
Epoch: [40][5290/14090]	Time 0.744 (0.768)	Data 0.001 (0.002)	Loss 2.2610 (2.2093)	Prec@1 41.406 (44.457)	Prec@5 71.094 (75.046)
Epoch: [40][5300/14090]	Time 0.749 (0.768)	Data 0.001 (0.002)	Loss 2.3386 (2.2093)	Prec@1 41.406 (44.457)	Prec@5 71.094 (75.045)
Epoch: [40][5310/14090]	Time 0.761 (0.768)	Data 0.001 (0.002)	Loss 2.0380 (2.2093)	Prec@1 46.875 (44.458)	Prec@5 77.344 (75.048)
Epoch: [40][5320/14090]	Time 0.734 (0.768)	Data 0.001 (0.002)	Loss 2.3095 (2.2093)	Prec@1 37.500 (44.455)	Prec@5 75.781 (75.047)
Epoch: [40][5330/14090]	Time 0.734 (0.768)	Data 0.001 (0.002)	Loss 2.1600 (2.2093)	Prec@1 38.281 (44.453)	Prec@5 75.781 (75.047)
Epoch: [40][5340/14090]	Time 0.919 (0.768)	Data 0.001 (0.002)	Loss 2.3335 (2.2094)	Prec@1 40.625 (44.448)	Prec@5 73.438 (75.047)
Epoch: [40][5350/14090]	Time 0.770 (0.768)	Data 0.001 (0.002)	Loss 2.3156 (2.2094)	Prec@1 47.656 (44.449)	Prec@5 72.656 (75.046)
Epoch: [40][5360/14090]	Time 0.746 (0.768)	Data 0.001 (0.002)	Loss 2.1974 (2.2097)	Prec@1 43.750 (44.445)	Prec@5 76.562 (75.043)
Epoch: [40][5370/14090]	Time 0.739 (0.768)	Data 0.001 (0.002)	Loss 2.2143 (2.2097)	Prec@1 43.750 (44.444)	Prec@5 75.000 (75.042)
Epoch: [40][5380/14090]	Time 0.762 (0.768)	Data 0.001 (0.002)	Loss 2.3308 (2.2099)	Prec@1 40.625 (44.442)	Prec@5 78.125 (75.042)
Epoch: [40][5390/14090]	Time 0.735 (0.768)	Data 0.001 (0.002)	Loss 2.5638 (2.2100)	Prec@1 37.500 (44.441)	Prec@5 64.844 (75.041)
Epoch: [40][5400/14090]	Time 0.738 (0.768)	Data 0.001 (0.002)	Loss 2.1157 (2.2101)	Prec@1 46.875 (44.438)	Prec@5 77.344 (75.041)
Epoch: [40][5410/14090]	Time 0.911 (0.768)	Data 0.001 (0.002)	Loss 2.1309 (2.2101)	Prec@1 48.438 (44.437)	Prec@5 70.312 (75.040)
Epoch: [40][5420/14090]	Time 0.783 (0.768)	Data 0.001 (0.002)	Loss 2.0158 (2.2102)	Prec@1 42.969 (44.434)	Prec@5 78.125 (75.038)
Epoch: [40][5430/14090]	Time 0.729 (0.768)	Data 0.001 (0.002)	Loss 2.4444 (2.2102)	Prec@1 46.094 (44.437)	Prec@5 71.875 (75.041)
Epoch: [40][5440/14090]	Time 0.724 (0.768)	Data 0.001 (0.002)	Loss 2.3251 (2.2102)	Prec@1 46.875 (44.439)	Prec@5 74.219 (75.039)
Epoch: [40][5450/14090]	Time 0.733 (0.768)	Data 0.001 (0.002)	Loss 2.2627 (2.2104)	Prec@1 43.750 (44.438)	Prec@5 71.094 (75.033)
Epoch: [40][5460/14090]	Time 0.729 (0.768)	Data 0.001 (0.002)	Loss 2.3569 (2.2103)	Prec@1 42.969 (44.440)	Prec@5 71.875 (75.034)
Epoch: [40][5470/14090]	Time 0.768 (0.768)	Data 0.001 (0.002)	Loss 2.4040 (2.2101)	Prec@1 39.844 (44.444)	Prec@5 72.656 (75.038)
Epoch: [40][5480/14090]	Time 1.015 (0.768)	Data 0.001 (0.002)	Loss 2.4305 (2.2104)	Prec@1 44.531 (44.440)	Prec@5 71.094 (75.034)
Epoch: [40][5490/14090]	Time 0.739 (0.768)	Data 0.001 (0.002)	Loss 2.4320 (2.2106)	Prec@1 38.281 (44.440)	Prec@5 71.094 (75.032)
Epoch: [40][5500/14090]	Time 0.770 (0.768)	Data 0.001 (0.002)	Loss 2.2537 (2.2107)	Prec@1 39.844 (44.435)	Prec@5 71.875 (75.030)
Epoch: [40][5510/14090]	Time 0.775 (0.768)	Data 0.001 (0.002)	Loss 2.3497 (2.2107)	Prec@1 43.750 (44.437)	Prec@5 75.781 (75.029)
Epoch: [40][5520/14090]	Time 0.741 (0.768)	Data 0.001 (0.002)	Loss 2.1638 (2.2107)	Prec@1 46.875 (44.437)	Prec@5 76.562 (75.032)
Epoch: [40][5530/14090]	Time 0.759 (0.768)	Data 0.000 (0.002)	Loss 1.8940 (2.2107)	Prec@1 54.688 (44.438)	Prec@5 80.469 (75.029)
Epoch: [40][5540/14090]	Time 0.727 (0.768)	Data 0.001 (0.002)	Loss 2.5589 (2.2109)	Prec@1 32.031 (44.433)	Prec@5 69.531 (75.026)
Epoch: [40][5550/14090]	Time 0.851 (0.768)	Data 0.001 (0.002)	Loss 2.3024 (2.2108)	Prec@1 40.625 (44.434)	Prec@5 75.781 (75.028)
Epoch: [40][5560/14090]	Time 0.756 (0.768)	Data 0.001 (0.002)	Loss 2.2210 (2.2110)	Prec@1 43.750 (44.431)	Prec@5 72.656 (75.023)
Epoch: [40][5570/14090]	Time 0.733 (0.768)	Data 0.001 (0.002)	Loss 2.0874 (2.2110)	Prec@1 44.531 (44.430)	Prec@5 76.562 (75.022)
Epoch: [40][5580/14090]	Time 0.780 (0.768)	Data 0.001 (0.002)	Loss 2.1936 (2.2110)	Prec@1 49.219 (44.432)	Prec@5 75.781 (75.023)
Epoch: [40][5590/14090]	Time 0.738 (0.768)	Data 0.001 (0.002)	Loss 2.1034 (2.2110)	Prec@1 46.875 (44.431)	Prec@5 79.688 (75.024)
Epoch: [40][5600/14090]	Time 0.731 (0.768)	Data 0.001 (0.002)	Loss 2.2933 (2.2113)	Prec@1 42.188 (44.427)	Prec@5 69.531 (75.019)
Epoch: [40][5610/14090]	Time 0.774 (0.768)	Data 0.001 (0.002)	Loss 2.2824 (2.2113)	Prec@1 34.375 (44.425)	Prec@5 75.000 (75.019)
Epoch: [40][5620/14090]	Time 0.881 (0.768)	Data 0.001 (0.002)	Loss 2.4206 (2.2112)	Prec@1 44.531 (44.427)	Prec@5 68.750 (75.020)
Epoch: [40][5630/14090]	Time 0.748 (0.768)	Data 0.003 (0.002)	Loss 2.1371 (2.2113)	Prec@1 48.438 (44.424)	Prec@5 75.781 (75.017)
Epoch: [40][5640/14090]	Time 0.770 (0.768)	Data 0.001 (0.002)	Loss 1.8660 (2.2113)	Prec@1 52.344 (44.424)	Prec@5 81.250 (75.016)
Epoch: [40][5650/14090]	Time 0.733 (0.768)	Data 0.001 (0.002)	Loss 2.3350 (2.2112)	Prec@1 42.188 (44.424)	Prec@5 70.312 (75.017)
Epoch: [40][5660/14090]	Time 0.753 (0.768)	Data 0.001 (0.002)	Loss 2.3440 (2.2112)	Prec@1 39.062 (44.424)	Prec@5 70.312 (75.014)
Epoch: [40][5670/14090]	Time 0.733 (0.768)	Data 0.001 (0.002)	Loss 2.3781 (2.2111)	Prec@1 41.406 (44.425)	Prec@5 71.875 (75.016)
Epoch: [40][5680/14090]	Time 0.761 (0.768)	Data 0.001 (0.002)	Loss 2.2014 (2.2111)	Prec@1 42.188 (44.425)	Prec@5 71.875 (75.012)
Epoch: [40][5690/14090]	Time 0.883 (0.768)	Data 0.001 (0.002)	Loss 2.1342 (2.2111)	Prec@1 46.094 (44.423)	Prec@5 74.219 (75.011)
Epoch: [40][5700/14090]	Time 0.739 (0.768)	Data 0.001 (0.002)	Loss 2.3439 (2.2110)	Prec@1 43.750 (44.423)	Prec@5 75.781 (75.013)
Epoch: [40][5710/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 1.9732 (2.2109)	Prec@1 46.094 (44.425)	Prec@5 79.688 (75.015)
Epoch: [40][5720/14090]	Time 0.726 (0.767)	Data 0.001 (0.002)	Loss 2.5932 (2.2110)	Prec@1 34.375 (44.422)	Prec@5 66.406 (75.014)
Epoch: [40][5730/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 2.2701 (2.2111)	Prec@1 43.750 (44.423)	Prec@5 75.781 (75.013)
Epoch: [40][5740/14090]	Time 0.743 (0.768)	Data 0.001 (0.002)	Loss 2.4132 (2.2110)	Prec@1 39.844 (44.423)	Prec@5 71.875 (75.014)
Epoch: [40][5750/14090]	Time 0.745 (0.768)	Data 0.001 (0.002)	Loss 2.3630 (2.2110)	Prec@1 35.938 (44.424)	Prec@5 74.219 (75.015)
Epoch: [40][5760/14090]	Time 0.949 (0.768)	Data 0.001 (0.002)	Loss 2.2176 (2.2109)	Prec@1 46.875 (44.423)	Prec@5 75.000 (75.016)
Epoch: [40][5770/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 2.2430 (2.2110)	Prec@1 38.281 (44.421)	Prec@5 78.906 (75.014)
Epoch: [40][5780/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 2.4494 (2.2110)	Prec@1 42.188 (44.422)	Prec@5 68.750 (75.013)
Epoch: [40][5790/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 2.2509 (2.2111)	Prec@1 42.188 (44.420)	Prec@5 74.219 (75.012)
Epoch: [40][5800/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 2.1863 (2.2110)	Prec@1 45.312 (44.422)	Prec@5 72.656 (75.011)
Epoch: [40][5810/14090]	Time 0.728 (0.767)	Data 0.001 (0.002)	Loss 2.0711 (2.2110)	Prec@1 46.094 (44.426)	Prec@5 76.562 (75.012)
Epoch: [40][5820/14090]	Time 0.727 (0.767)	Data 0.001 (0.002)	Loss 2.2969 (2.2111)	Prec@1 41.406 (44.424)	Prec@5 76.562 (75.010)
Epoch: [40][5830/14090]	Time 0.826 (0.767)	Data 0.001 (0.002)	Loss 2.1973 (2.2110)	Prec@1 48.438 (44.426)	Prec@5 71.875 (75.010)
Epoch: [40][5840/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 1.8114 (2.2109)	Prec@1 45.312 (44.429)	Prec@5 82.031 (75.012)
Epoch: [40][5850/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 2.1703 (2.2109)	Prec@1 41.406 (44.426)	Prec@5 75.781 (75.009)
Epoch: [40][5860/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 2.0715 (2.2109)	Prec@1 47.656 (44.430)	Prec@5 78.125 (75.010)
Epoch: [40][5870/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.2892 (2.2108)	Prec@1 48.438 (44.433)	Prec@5 69.531 (75.010)
Epoch: [40][5880/14090]	Time 0.731 (0.767)	Data 0.001 (0.002)	Loss 2.3348 (2.2108)	Prec@1 36.719 (44.433)	Prec@5 71.875 (75.010)
Epoch: [40][5890/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 2.1021 (2.2109)	Prec@1 46.875 (44.429)	Prec@5 73.438 (75.005)
Epoch: [40][5900/14090]	Time 0.913 (0.767)	Data 0.002 (0.002)	Loss 2.1864 (2.2109)	Prec@1 50.000 (44.430)	Prec@5 75.781 (75.005)
Epoch: [40][5910/14090]	Time 0.731 (0.767)	Data 0.001 (0.002)	Loss 2.2579 (2.2108)	Prec@1 39.844 (44.431)	Prec@5 77.344 (75.010)
Epoch: [40][5920/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 1.9506 (2.2106)	Prec@1 50.781 (44.435)	Prec@5 78.125 (75.014)
Epoch: [40][5930/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 2.3139 (2.2106)	Prec@1 38.281 (44.434)	Prec@5 78.125 (75.015)
Epoch: [40][5940/14090]	Time 0.768 (0.767)	Data 0.001 (0.002)	Loss 2.3581 (2.2107)	Prec@1 40.625 (44.431)	Prec@5 68.750 (75.010)
Epoch: [40][5950/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 2.1019 (2.2108)	Prec@1 46.094 (44.429)	Prec@5 75.781 (75.009)
Epoch: [40][5960/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.1706 (2.2107)	Prec@1 46.875 (44.431)	Prec@5 75.781 (75.011)
Epoch: [40][5970/14090]	Time 0.873 (0.767)	Data 0.001 (0.002)	Loss 2.1823 (2.2106)	Prec@1 41.406 (44.435)	Prec@5 78.125 (75.013)
Epoch: [40][5980/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 2.1752 (2.2107)	Prec@1 44.531 (44.433)	Prec@5 76.562 (75.011)
Epoch: [40][5990/14090]	Time 0.771 (0.767)	Data 0.001 (0.002)	Loss 2.7400 (2.2108)	Prec@1 35.938 (44.431)	Prec@5 67.188 (75.009)
Epoch: [40][6000/14090]	Time 0.767 (0.767)	Data 0.001 (0.002)	Loss 2.3264 (2.2108)	Prec@1 42.188 (44.431)	Prec@5 75.781 (75.009)
Epoch: [40][6010/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.1287 (2.2108)	Prec@1 46.094 (44.430)	Prec@5 79.688 (75.011)
Epoch: [40][6020/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 2.3869 (2.2109)	Prec@1 43.750 (44.428)	Prec@5 67.969 (75.009)
Epoch: [40][6030/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.2748 (2.2109)	Prec@1 45.312 (44.427)	Prec@5 67.188 (75.007)
Epoch: [40][6040/14090]	Time 0.966 (0.767)	Data 0.001 (0.002)	Loss 2.2508 (2.2109)	Prec@1 39.844 (44.423)	Prec@5 72.656 (75.006)
Epoch: [40][6050/14090]	Time 0.757 (0.767)	Data 0.001 (0.002)	Loss 1.9581 (2.2109)	Prec@1 46.875 (44.422)	Prec@5 79.688 (75.007)
Epoch: [40][6060/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 2.4232 (2.2109)	Prec@1 40.625 (44.423)	Prec@5 67.188 (75.007)
Epoch: [40][6070/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 2.5262 (2.2108)	Prec@1 34.375 (44.425)	Prec@5 67.969 (75.007)
Epoch: [40][6080/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 2.2675 (2.2109)	Prec@1 44.531 (44.423)	Prec@5 77.344 (75.007)
Epoch: [40][6090/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 2.1660 (2.2108)	Prec@1 42.188 (44.425)	Prec@5 74.219 (75.009)
Epoch: [40][6100/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.4484 (2.2108)	Prec@1 36.719 (44.425)	Prec@5 72.656 (75.010)
Epoch: [40][6110/14090]	Time 0.880 (0.767)	Data 0.001 (0.002)	Loss 2.0845 (2.2109)	Prec@1 47.656 (44.424)	Prec@5 75.781 (75.009)
Epoch: [40][6120/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 2.3635 (2.2108)	Prec@1 39.062 (44.426)	Prec@5 77.344 (75.012)
Epoch: [40][6130/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 2.2808 (2.2107)	Prec@1 39.844 (44.429)	Prec@5 75.781 (75.013)
Epoch: [40][6140/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 2.3558 (2.2107)	Prec@1 42.969 (44.430)	Prec@5 71.875 (75.013)
Epoch: [40][6150/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 2.4597 (2.2106)	Prec@1 43.750 (44.433)	Prec@5 66.406 (75.015)
Epoch: [40][6160/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 2.2029 (2.2106)	Prec@1 49.219 (44.436)	Prec@5 74.219 (75.015)
Epoch: [40][6170/14090]	Time 0.781 (0.767)	Data 0.001 (0.002)	Loss 2.0926 (2.2106)	Prec@1 49.219 (44.437)	Prec@5 73.438 (75.017)
Epoch: [40][6180/14090]	Time 0.992 (0.767)	Data 0.001 (0.002)	Loss 2.2201 (2.2106)	Prec@1 46.094 (44.439)	Prec@5 75.781 (75.014)
Epoch: [40][6190/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 2.1758 (2.2107)	Prec@1 46.094 (44.436)	Prec@5 78.906 (75.012)
Epoch: [40][6200/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.1928 (2.2107)	Prec@1 42.188 (44.437)	Prec@5 72.656 (75.013)
Epoch: [40][6210/14090]	Time 0.717 (0.767)	Data 0.001 (0.002)	Loss 2.2444 (2.2108)	Prec@1 41.406 (44.434)	Prec@5 75.000 (75.010)
Epoch: [40][6220/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.2753 (2.2108)	Prec@1 39.844 (44.436)	Prec@5 67.969 (75.007)
Epoch: [40][6230/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.1783 (2.2109)	Prec@1 46.094 (44.432)	Prec@5 74.219 (75.006)
Epoch: [40][6240/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 2.1297 (2.2107)	Prec@1 44.531 (44.435)	Prec@5 80.469 (75.010)
Epoch: [40][6250/14090]	Time 0.869 (0.767)	Data 0.001 (0.002)	Loss 2.0458 (2.2107)	Prec@1 49.219 (44.434)	Prec@5 79.688 (75.011)
Epoch: [40][6260/14090]	Time 0.752 (0.767)	Data 0.002 (0.002)	Loss 2.2982 (2.2107)	Prec@1 43.750 (44.435)	Prec@5 70.312 (75.008)
Epoch: [40][6270/14090]	Time 0.757 (0.767)	Data 0.001 (0.002)	Loss 1.8921 (2.2107)	Prec@1 51.562 (44.434)	Prec@5 78.125 (75.011)
Epoch: [40][6280/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 2.3082 (2.2107)	Prec@1 43.750 (44.434)	Prec@5 69.531 (75.011)
Epoch: [40][6290/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.6178 (2.2108)	Prec@1 32.031 (44.432)	Prec@5 66.406 (75.008)
Epoch: [40][6300/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 2.4306 (2.2108)	Prec@1 41.406 (44.431)	Prec@5 70.312 (75.007)
Epoch: [40][6310/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 2.1729 (2.2109)	Prec@1 44.531 (44.431)	Prec@5 75.000 (75.005)
Epoch: [40][6320/14090]	Time 0.849 (0.767)	Data 0.001 (0.002)	Loss 2.2453 (2.2109)	Prec@1 47.656 (44.432)	Prec@5 73.438 (75.006)
Epoch: [40][6330/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 2.4662 (2.2110)	Prec@1 41.406 (44.430)	Prec@5 71.094 (75.001)
Epoch: [40][6340/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 2.1363 (2.2109)	Prec@1 45.312 (44.434)	Prec@5 78.906 (75.005)
Epoch: [40][6350/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.0284 (2.2107)	Prec@1 53.125 (44.437)	Prec@5 76.562 (75.008)
Epoch: [40][6360/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 2.2323 (2.2108)	Prec@1 42.969 (44.440)	Prec@5 73.438 (75.007)
Epoch: [40][6370/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 2.1917 (2.2108)	Prec@1 42.969 (44.440)	Prec@5 77.344 (75.006)
Epoch: [40][6380/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 2.2433 (2.2108)	Prec@1 41.406 (44.438)	Prec@5 75.781 (75.009)
Epoch: [40][6390/14090]	Time 0.839 (0.767)	Data 0.001 (0.002)	Loss 2.5014 (2.2109)	Prec@1 40.625 (44.435)	Prec@5 67.969 (75.006)
Epoch: [40][6400/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.3169 (2.2109)	Prec@1 42.969 (44.432)	Prec@5 71.875 (75.007)
Epoch: [40][6410/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 2.1231 (2.2108)	Prec@1 44.531 (44.433)	Prec@5 81.250 (75.008)
Epoch: [40][6420/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 2.4133 (2.2107)	Prec@1 39.844 (44.435)	Prec@5 74.219 (75.010)
Epoch: [40][6430/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 2.6376 (2.2108)	Prec@1 39.062 (44.435)	Prec@5 64.844 (75.007)
Epoch: [40][6440/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 1.9499 (2.2107)	Prec@1 57.812 (44.439)	Prec@5 82.031 (75.009)
Epoch: [40][6450/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 2.1527 (2.2106)	Prec@1 41.406 (44.440)	Prec@5 76.562 (75.011)
Epoch: [40][6460/14090]	Time 0.879 (0.767)	Data 0.001 (0.002)	Loss 2.2555 (2.2106)	Prec@1 43.750 (44.437)	Prec@5 74.219 (75.009)
Epoch: [40][6470/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 2.1009 (2.2106)	Prec@1 46.875 (44.437)	Prec@5 74.219 (75.008)
Epoch: [40][6480/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 2.3353 (2.2107)	Prec@1 40.625 (44.436)	Prec@5 73.438 (75.007)
Epoch: [40][6490/14090]	Time 0.764 (0.767)	Data 0.001 (0.002)	Loss 2.2154 (2.2107)	Prec@1 46.094 (44.434)	Prec@5 73.438 (75.004)
Epoch: [40][6500/14090]	Time 0.764 (0.767)	Data 0.001 (0.002)	Loss 2.6705 (2.2108)	Prec@1 25.781 (44.431)	Prec@5 68.750 (75.004)
Epoch: [40][6510/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 2.1898 (2.2108)	Prec@1 49.219 (44.431)	Prec@5 73.438 (75.003)
Epoch: [40][6520/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 1.9440 (2.2109)	Prec@1 52.344 (44.434)	Prec@5 78.125 (75.001)
Epoch: [40][6530/14090]	Time 0.884 (0.767)	Data 0.001 (0.002)	Loss 2.1231 (2.2108)	Prec@1 47.656 (44.434)	Prec@5 74.219 (75.001)
Epoch: [40][6540/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 2.1482 (2.2108)	Prec@1 47.656 (44.431)	Prec@5 71.094 (75.000)
Epoch: [40][6550/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.3655 (2.2110)	Prec@1 40.625 (44.429)	Prec@5 73.438 (75.000)
Epoch: [40][6560/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 2.1523 (2.2110)	Prec@1 46.094 (44.427)	Prec@5 81.250 (74.999)
Epoch: [40][6570/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 1.9883 (2.2109)	Prec@1 44.531 (44.428)	Prec@5 81.250 (75.002)
Epoch: [40][6580/14090]	Time 0.762 (0.767)	Data 0.001 (0.002)	Loss 2.3027 (2.2108)	Prec@1 47.656 (44.430)	Prec@5 71.875 (75.004)
Epoch: [40][6590/14090]	Time 0.771 (0.767)	Data 0.001 (0.002)	Loss 2.0484 (2.2108)	Prec@1 44.531 (44.428)	Prec@5 77.344 (75.006)
Epoch: [40][6600/14090]	Time 0.890 (0.767)	Data 0.001 (0.002)	Loss 2.2685 (2.2108)	Prec@1 33.594 (44.424)	Prec@5 73.438 (75.005)
Epoch: [40][6610/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 2.0005 (2.2107)	Prec@1 43.750 (44.425)	Prec@5 77.344 (75.005)
Epoch: [40][6620/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 2.0690 (2.2108)	Prec@1 49.219 (44.426)	Prec@5 78.125 (75.003)
Epoch: [40][6630/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 2.2883 (2.2108)	Prec@1 42.969 (44.425)	Prec@5 75.781 (75.004)
Epoch: [40][6640/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 2.2339 (2.2109)	Prec@1 39.844 (44.422)	Prec@5 76.562 (75.003)
Epoch: [40][6650/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 1.9622 (2.2108)	Prec@1 42.188 (44.422)	Prec@5 81.250 (75.006)
Epoch: [40][6660/14090]	Time 0.767 (0.767)	Data 0.001 (0.002)	Loss 2.1071 (2.2107)	Prec@1 46.875 (44.420)	Prec@5 75.781 (75.008)
Epoch: [40][6670/14090]	Time 0.869 (0.767)	Data 0.001 (0.002)	Loss 2.0850 (2.2107)	Prec@1 46.875 (44.419)	Prec@5 78.906 (75.009)
Epoch: [40][6680/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.2463 (2.2106)	Prec@1 44.531 (44.417)	Prec@5 76.562 (75.009)
Epoch: [40][6690/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.1645 (2.2107)	Prec@1 44.531 (44.415)	Prec@5 78.906 (75.010)
Epoch: [40][6700/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.3234 (2.2106)	Prec@1 48.438 (44.418)	Prec@5 75.781 (75.013)
Epoch: [40][6710/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 2.1144 (2.2105)	Prec@1 46.094 (44.420)	Prec@5 76.562 (75.013)
Epoch: [40][6720/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 2.0584 (2.2105)	Prec@1 52.344 (44.417)	Prec@5 78.906 (75.014)
Epoch: [40][6730/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 2.0130 (2.2105)	Prec@1 50.000 (44.417)	Prec@5 74.219 (75.013)
Epoch: [40][6740/14090]	Time 0.928 (0.767)	Data 0.002 (0.002)	Loss 2.0471 (2.2103)	Prec@1 46.875 (44.418)	Prec@5 75.781 (75.016)
Epoch: [40][6750/14090]	Time 0.761 (0.767)	Data 0.001 (0.002)	Loss 2.4241 (2.2103)	Prec@1 43.750 (44.418)	Prec@5 69.531 (75.017)
Epoch: [40][6760/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 2.0065 (2.2103)	Prec@1 46.875 (44.418)	Prec@5 77.344 (75.016)
Epoch: [40][6770/14090]	Time 0.761 (0.767)	Data 0.001 (0.002)	Loss 2.0005 (2.2103)	Prec@1 50.000 (44.418)	Prec@5 77.344 (75.016)
Epoch: [40][6780/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 2.3703 (2.2104)	Prec@1 35.156 (44.415)	Prec@5 71.875 (75.012)
Epoch: [40][6790/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.1313 (2.2104)	Prec@1 42.188 (44.413)	Prec@5 75.781 (75.011)
Epoch: [40][6800/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 2.4804 (2.2104)	Prec@1 36.719 (44.415)	Prec@5 71.875 (75.011)
Epoch: [40][6810/14090]	Time 0.879 (0.767)	Data 0.001 (0.002)	Loss 2.4008 (2.2103)	Prec@1 42.188 (44.416)	Prec@5 73.438 (75.014)
Epoch: [40][6820/14090]	Time 0.761 (0.767)	Data 0.001 (0.002)	Loss 2.1509 (2.2103)	Prec@1 46.875 (44.417)	Prec@5 75.781 (75.016)
Epoch: [40][6830/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 1.9573 (2.2103)	Prec@1 44.531 (44.415)	Prec@5 76.562 (75.016)
Epoch: [40][6840/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.0290 (2.2102)	Prec@1 43.750 (44.414)	Prec@5 78.125 (75.020)
Epoch: [40][6850/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.1086 (2.2101)	Prec@1 46.094 (44.417)	Prec@5 78.125 (75.022)
Epoch: [40][6860/14090]	Time 0.762 (0.767)	Data 0.001 (0.002)	Loss 2.1739 (2.2102)	Prec@1 47.656 (44.412)	Prec@5 75.781 (75.020)
Epoch: [40][6870/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 2.2994 (2.2102)	Prec@1 44.531 (44.413)	Prec@5 70.312 (75.020)
Epoch: [40][6880/14090]	Time 0.860 (0.767)	Data 0.001 (0.002)	Loss 2.4375 (2.2102)	Prec@1 41.406 (44.413)	Prec@5 66.406 (75.018)
Epoch: [40][6890/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 2.0101 (2.2103)	Prec@1 51.562 (44.413)	Prec@5 75.781 (75.018)
Epoch: [40][6900/14090]	Time 0.782 (0.767)	Data 0.001 (0.002)	Loss 2.4349 (2.2103)	Prec@1 42.969 (44.413)	Prec@5 67.188 (75.016)
Epoch: [40][6910/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 2.3837 (2.2103)	Prec@1 40.625 (44.411)	Prec@5 71.875 (75.016)
Epoch: [40][6920/14090]	Time 0.760 (0.767)	Data 0.001 (0.002)	Loss 2.3687 (2.2103)	Prec@1 36.719 (44.409)	Prec@5 71.094 (75.014)
Epoch: [40][6930/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.3280 (2.2105)	Prec@1 39.844 (44.406)	Prec@5 74.219 (75.010)
Epoch: [40][6940/14090]	Time 0.768 (0.767)	Data 0.001 (0.002)	Loss 2.3600 (2.2107)	Prec@1 37.500 (44.400)	Prec@5 74.219 (75.008)
Epoch: [40][6950/14090]	Time 0.830 (0.767)	Data 0.001 (0.002)	Loss 1.9913 (2.2106)	Prec@1 45.312 (44.398)	Prec@5 82.812 (75.010)
Epoch: [40][6960/14090]	Time 0.775 (0.767)	Data 0.001 (0.002)	Loss 2.1829 (2.2107)	Prec@1 42.969 (44.396)	Prec@5 68.750 (75.008)
Epoch: [40][6970/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 2.2598 (2.2107)	Prec@1 44.531 (44.397)	Prec@5 75.781 (75.007)
Epoch: [40][6980/14090]	Time 0.728 (0.767)	Data 0.001 (0.002)	Loss 2.1245 (2.2107)	Prec@1 46.094 (44.398)	Prec@5 78.125 (75.008)
Epoch: [40][6990/14090]	Time 0.722 (0.767)	Data 0.001 (0.002)	Loss 2.1467 (2.2108)	Prec@1 50.000 (44.398)	Prec@5 74.219 (75.008)
Epoch: [40][7000/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 2.1998 (2.2108)	Prec@1 42.188 (44.398)	Prec@5 76.562 (75.007)
Epoch: [40][7010/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 2.1904 (2.2108)	Prec@1 41.406 (44.399)	Prec@5 75.000 (75.007)
Epoch: [40][7020/14090]	Time 0.995 (0.767)	Data 0.001 (0.002)	Loss 2.0799 (2.2108)	Prec@1 42.969 (44.400)	Prec@5 75.781 (75.006)
Epoch: [40][7030/14090]	Time 0.765 (0.767)	Data 0.001 (0.002)	Loss 2.3093 (2.2108)	Prec@1 42.188 (44.399)	Prec@5 72.656 (75.005)
Epoch: [40][7040/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.0953 (2.2108)	Prec@1 50.781 (44.401)	Prec@5 77.344 (75.004)
Epoch: [40][7050/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 2.3099 (2.2109)	Prec@1 42.188 (44.398)	Prec@5 67.969 (75.000)
Epoch: [40][7060/14090]	Time 0.731 (0.767)	Data 0.001 (0.002)	Loss 2.4051 (2.2107)	Prec@1 41.406 (44.401)	Prec@5 73.438 (75.003)
Epoch: [40][7070/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 2.2470 (2.2108)	Prec@1 41.406 (44.399)	Prec@5 74.219 (75.003)
Epoch: [40][7080/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.0500 (2.2108)	Prec@1 43.750 (44.396)	Prec@5 77.344 (75.003)
Epoch: [40][7090/14090]	Time 0.865 (0.767)	Data 0.001 (0.002)	Loss 2.2102 (2.2107)	Prec@1 46.094 (44.400)	Prec@5 76.562 (75.007)
Epoch: [40][7100/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.2752 (2.2106)	Prec@1 42.969 (44.402)	Prec@5 71.875 (75.010)
Epoch: [40][7110/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 2.0359 (2.2105)	Prec@1 47.656 (44.401)	Prec@5 80.469 (75.013)
Epoch: [40][7120/14090]	Time 0.731 (0.767)	Data 0.001 (0.002)	Loss 2.2417 (2.2106)	Prec@1 43.750 (44.401)	Prec@5 75.000 (75.013)
Epoch: [40][7130/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 2.0831 (2.2106)	Prec@1 42.188 (44.401)	Prec@5 77.344 (75.014)
Epoch: [40][7140/14090]	Time 0.763 (0.767)	Data 0.001 (0.002)	Loss 2.2893 (2.2105)	Prec@1 42.969 (44.403)	Prec@5 75.781 (75.017)
Epoch: [40][7150/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 2.2195 (2.2105)	Prec@1 46.875 (44.406)	Prec@5 78.125 (75.017)
Epoch: [40][7160/14090]	Time 0.870 (0.767)	Data 0.001 (0.002)	Loss 1.9881 (2.2104)	Prec@1 48.438 (44.407)	Prec@5 80.469 (75.018)
Epoch: [40][7170/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 2.0664 (2.2103)	Prec@1 49.219 (44.410)	Prec@5 76.562 (75.017)
Epoch: [40][7180/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.2629 (2.2105)	Prec@1 42.969 (44.406)	Prec@5 72.656 (75.014)
Epoch: [40][7190/14090]	Time 0.724 (0.767)	Data 0.001 (0.002)	Loss 2.3400 (2.2105)	Prec@1 40.625 (44.407)	Prec@5 68.750 (75.011)
Epoch: [40][7200/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 2.2329 (2.2105)	Prec@1 46.875 (44.408)	Prec@5 75.000 (75.010)
Epoch: [40][7210/14090]	Time 0.762 (0.767)	Data 0.001 (0.002)	Loss 2.5176 (2.2106)	Prec@1 39.062 (44.405)	Prec@5 71.875 (75.010)
Epoch: [40][7220/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 2.1547 (2.2106)	Prec@1 50.781 (44.407)	Prec@5 75.000 (75.009)
Epoch: [40][7230/14090]	Time 0.867 (0.767)	Data 0.001 (0.002)	Loss 2.1708 (2.2106)	Prec@1 44.531 (44.410)	Prec@5 74.219 (75.009)
Epoch: [40][7240/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.3896 (2.2108)	Prec@1 37.500 (44.405)	Prec@5 68.750 (75.005)
Epoch: [40][7250/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 2.2256 (2.2108)	Prec@1 43.750 (44.405)	Prec@5 78.125 (75.006)
Epoch: [40][7260/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 1.9728 (2.2108)	Prec@1 53.906 (44.405)	Prec@5 79.688 (75.006)
Epoch: [40][7270/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 2.1818 (2.2108)	Prec@1 46.875 (44.408)	Prec@5 76.562 (75.008)
Epoch: [40][7280/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 2.0469 (2.2109)	Prec@1 47.656 (44.406)	Prec@5 75.781 (75.005)
Epoch: [40][7290/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 2.3821 (2.2110)	Prec@1 33.594 (44.405)	Prec@5 72.656 (75.003)
Epoch: [40][7300/14090]	Time 0.927 (0.767)	Data 0.001 (0.002)	Loss 2.1104 (2.2111)	Prec@1 49.219 (44.406)	Prec@5 72.656 (75.001)
Epoch: [40][7310/14090]	Time 0.761 (0.767)	Data 0.001 (0.002)	Loss 2.0727 (2.2110)	Prec@1 50.781 (44.408)	Prec@5 77.344 (75.001)
Epoch: [40][7320/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.2147 (2.2109)	Prec@1 41.406 (44.410)	Prec@5 78.125 (75.004)
Epoch: [40][7330/14090]	Time 0.723 (0.767)	Data 0.001 (0.002)	Loss 2.3002 (2.2108)	Prec@1 39.844 (44.410)	Prec@5 74.219 (75.005)
Epoch: [40][7340/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 1.9580 (2.2108)	Prec@1 50.781 (44.413)	Prec@5 75.781 (75.006)
Epoch: [40][7350/14090]	Time 0.779 (0.767)	Data 0.001 (0.002)	Loss 2.4398 (2.2109)	Prec@1 34.375 (44.411)	Prec@5 70.312 (75.003)
Epoch: [40][7360/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 2.0993 (2.2110)	Prec@1 53.125 (44.411)	Prec@5 78.906 (75.003)
Epoch: [40][7370/14090]	Time 0.898 (0.767)	Data 0.001 (0.002)	Loss 2.0614 (2.2109)	Prec@1 45.312 (44.412)	Prec@5 76.562 (75.004)
Epoch: [40][7380/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 2.4311 (2.2110)	Prec@1 40.625 (44.410)	Prec@5 67.188 (75.001)
Epoch: [40][7390/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 2.1346 (2.2109)	Prec@1 47.656 (44.412)	Prec@5 78.125 (75.002)
Epoch: [40][7400/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 2.1484 (2.2109)	Prec@1 44.531 (44.412)	Prec@5 77.344 (75.003)
Epoch: [40][7410/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.2679 (2.2110)	Prec@1 44.531 (44.407)	Prec@5 76.562 (75.000)
Epoch: [40][7420/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 2.2484 (2.2110)	Prec@1 40.625 (44.408)	Prec@5 73.438 (75.002)
Epoch: [40][7430/14090]	Time 0.727 (0.767)	Data 0.001 (0.002)	Loss 2.1461 (2.2109)	Prec@1 46.875 (44.409)	Prec@5 72.656 (75.001)
Epoch: [40][7440/14090]	Time 0.832 (0.767)	Data 0.001 (0.002)	Loss 2.2528 (2.2108)	Prec@1 42.188 (44.409)	Prec@5 72.656 (75.001)
Epoch: [40][7450/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 2.3466 (2.2108)	Prec@1 38.281 (44.408)	Prec@5 73.438 (75.000)
Epoch: [40][7460/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.2540 (2.2109)	Prec@1 51.562 (44.405)	Prec@5 73.438 (74.999)
Epoch: [40][7470/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 1.9682 (2.2108)	Prec@1 51.562 (44.407)	Prec@5 79.688 (75.000)
Epoch: [40][7480/14090]	Time 0.725 (0.767)	Data 0.001 (0.002)	Loss 2.0879 (2.2108)	Prec@1 51.562 (44.409)	Prec@5 77.344 (75.001)
Epoch: [40][7490/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 2.0450 (2.2109)	Prec@1 47.656 (44.405)	Prec@5 73.438 (74.999)
Epoch: [40][7500/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.2501 (2.2109)	Prec@1 46.094 (44.407)	Prec@5 70.312 (74.999)
Epoch: [40][7510/14090]	Time 0.860 (0.767)	Data 0.002 (0.002)	Loss 2.2007 (2.2108)	Prec@1 46.875 (44.408)	Prec@5 72.656 (74.999)
Epoch: [40][7520/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 2.5454 (2.2110)	Prec@1 35.938 (44.405)	Prec@5 67.188 (74.995)
Epoch: [40][7530/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 1.8873 (2.2111)	Prec@1 47.656 (44.404)	Prec@5 82.031 (74.995)
Epoch: [40][7540/14090]	Time 0.768 (0.767)	Data 0.001 (0.002)	Loss 2.1812 (2.2112)	Prec@1 43.750 (44.403)	Prec@5 77.344 (74.994)
Epoch: [40][7550/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 2.2168 (2.2112)	Prec@1 46.094 (44.402)	Prec@5 77.344 (74.991)
Epoch: [40][7560/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 2.3226 (2.2114)	Prec@1 40.625 (44.400)	Prec@5 75.000 (74.989)
Epoch: [40][7570/14090]	Time 0.757 (0.767)	Data 0.001 (0.002)	Loss 2.4285 (2.2114)	Prec@1 35.938 (44.398)	Prec@5 71.875 (74.988)
Epoch: [40][7580/14090]	Time 0.920 (0.767)	Data 0.001 (0.002)	Loss 2.2257 (2.2114)	Prec@1 45.312 (44.400)	Prec@5 71.875 (74.988)
Epoch: [40][7590/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 2.1243 (2.2114)	Prec@1 42.188 (44.401)	Prec@5 75.000 (74.988)
Epoch: [40][7600/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 2.0849 (2.2113)	Prec@1 43.750 (44.402)	Prec@5 78.906 (74.990)
Epoch: [40][7610/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 2.1351 (2.2114)	Prec@1 43.750 (44.400)	Prec@5 76.562 (74.990)
Epoch: [40][7620/14090]	Time 0.775 (0.767)	Data 0.001 (0.002)	Loss 2.2213 (2.2114)	Prec@1 43.750 (44.401)	Prec@5 73.438 (74.989)
Epoch: [40][7630/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 2.1538 (2.2114)	Prec@1 46.094 (44.403)	Prec@5 73.438 (74.990)
Epoch: [40][7640/14090]	Time 0.765 (0.767)	Data 0.001 (0.002)	Loss 2.2628 (2.2114)	Prec@1 41.406 (44.402)	Prec@5 75.781 (74.990)
Epoch: [40][7650/14090]	Time 0.888 (0.767)	Data 0.001 (0.002)	Loss 2.3306 (2.2115)	Prec@1 44.531 (44.399)	Prec@5 72.656 (74.989)
Epoch: [40][7660/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 2.1731 (2.2115)	Prec@1 43.750 (44.400)	Prec@5 77.344 (74.989)
Epoch: [40][7670/14090]	Time 0.780 (0.767)	Data 0.001 (0.002)	Loss 2.3143 (2.2116)	Prec@1 43.750 (44.396)	Prec@5 74.219 (74.989)
Epoch: [40][7680/14090]	Time 0.726 (0.767)	Data 0.001 (0.002)	Loss 2.1367 (2.2117)	Prec@1 41.406 (44.393)	Prec@5 76.562 (74.988)
Epoch: [40][7690/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 2.0286 (2.2116)	Prec@1 46.875 (44.395)	Prec@5 80.469 (74.989)
Epoch: [40][7700/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 1.9498 (2.2114)	Prec@1 47.656 (44.397)	Prec@5 79.688 (74.991)
Epoch: [40][7710/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 2.3316 (2.2114)	Prec@1 43.750 (44.397)	Prec@5 70.312 (74.991)
Epoch: [40][7720/14090]	Time 0.870 (0.767)	Data 0.001 (0.001)	Loss 2.3264 (2.2115)	Prec@1 53.125 (44.398)	Prec@5 71.094 (74.990)
Epoch: [40][7730/14090]	Time 0.725 (0.767)	Data 0.001 (0.001)	Loss 1.9423 (2.2115)	Prec@1 46.875 (44.396)	Prec@5 80.469 (74.989)
Epoch: [40][7740/14090]	Time 0.721 (0.767)	Data 0.001 (0.001)	Loss 2.0278 (2.2114)	Prec@1 46.094 (44.398)	Prec@5 78.906 (74.992)
Epoch: [40][7750/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 2.2314 (2.2114)	Prec@1 38.281 (44.395)	Prec@5 79.688 (74.991)
Epoch: [40][7760/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 2.2355 (2.2115)	Prec@1 42.969 (44.392)	Prec@5 71.875 (74.991)
Epoch: [40][7770/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 2.4996 (2.2116)	Prec@1 36.719 (44.387)	Prec@5 71.094 (74.990)
Epoch: [40][7780/14090]	Time 0.765 (0.767)	Data 0.001 (0.001)	Loss 2.2529 (2.2116)	Prec@1 45.312 (44.388)	Prec@5 74.219 (74.990)
Epoch: [40][7790/14090]	Time 0.824 (0.767)	Data 0.001 (0.001)	Loss 1.9948 (2.2116)	Prec@1 44.531 (44.386)	Prec@5 82.031 (74.989)
Epoch: [40][7800/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 2.4209 (2.2117)	Prec@1 37.500 (44.386)	Prec@5 69.531 (74.988)
Epoch: [40][7810/14090]	Time 0.774 (0.767)	Data 0.001 (0.001)	Loss 2.2893 (2.2118)	Prec@1 46.875 (44.386)	Prec@5 74.219 (74.985)
Epoch: [40][7820/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 2.3115 (2.2118)	Prec@1 42.969 (44.385)	Prec@5 73.438 (74.984)
Epoch: [40][7830/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 2.2500 (2.2118)	Prec@1 47.656 (44.382)	Prec@5 71.094 (74.982)
Epoch: [40][7840/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 2.3827 (2.2121)	Prec@1 42.188 (44.379)	Prec@5 71.875 (74.978)
Epoch: [40][7850/14090]	Time 0.768 (0.767)	Data 0.001 (0.001)	Loss 2.5589 (2.2121)	Prec@1 35.156 (44.379)	Prec@5 68.750 (74.978)
Epoch: [40][7860/14090]	Time 0.863 (0.767)	Data 0.001 (0.001)	Loss 2.4837 (2.2121)	Prec@1 35.156 (44.377)	Prec@5 69.531 (74.977)
Epoch: [40][7870/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 2.4536 (2.2122)	Prec@1 39.844 (44.375)	Prec@5 71.094 (74.975)
Epoch: [40][7880/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 2.0341 (2.2122)	Prec@1 49.219 (44.376)	Prec@5 81.250 (74.976)
Epoch: [40][7890/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 1.9927 (2.2122)	Prec@1 51.562 (44.376)	Prec@5 78.906 (74.973)
Epoch: [40][7900/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 2.1919 (2.2122)	Prec@1 47.656 (44.378)	Prec@5 78.125 (74.976)
Epoch: [40][7910/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 2.3493 (2.2123)	Prec@1 43.750 (44.376)	Prec@5 72.656 (74.975)
Epoch: [40][7920/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 2.3078 (2.2123)	Prec@1 40.625 (44.375)	Prec@5 69.531 (74.974)
Epoch: [40][7930/14090]	Time 0.913 (0.767)	Data 0.001 (0.001)	Loss 2.0558 (2.2124)	Prec@1 50.000 (44.374)	Prec@5 76.562 (74.973)
Epoch: [40][7940/14090]	Time 0.769 (0.767)	Data 0.001 (0.001)	Loss 2.2274 (2.2124)	Prec@1 45.312 (44.376)	Prec@5 76.562 (74.974)
Epoch: [40][7950/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 2.3112 (2.2123)	Prec@1 46.094 (44.380)	Prec@5 72.656 (74.974)
Epoch: [40][7960/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.1452 (2.2124)	Prec@1 43.750 (44.377)	Prec@5 77.344 (74.972)
Epoch: [40][7970/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 2.3547 (2.2125)	Prec@1 41.406 (44.374)	Prec@5 69.531 (74.970)
Epoch: [40][7980/14090]	Time 0.768 (0.767)	Data 0.001 (0.001)	Loss 2.0839 (2.2124)	Prec@1 45.312 (44.375)	Prec@5 81.250 (74.971)
Epoch: [40][7990/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 2.1152 (2.2124)	Prec@1 48.438 (44.375)	Prec@5 75.781 (74.972)
Epoch: [40][8000/14090]	Time 0.856 (0.767)	Data 0.001 (0.001)	Loss 2.2460 (2.2123)	Prec@1 46.094 (44.376)	Prec@5 77.344 (74.974)
Epoch: [40][8010/14090]	Time 0.768 (0.767)	Data 0.002 (0.001)	Loss 2.0731 (2.2124)	Prec@1 40.625 (44.374)	Prec@5 82.031 (74.970)
Epoch: [40][8020/14090]	Time 0.765 (0.767)	Data 0.001 (0.001)	Loss 2.2636 (2.2124)	Prec@1 44.531 (44.377)	Prec@5 69.531 (74.969)
Epoch: [40][8030/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 1.9721 (2.2123)	Prec@1 46.094 (44.378)	Prec@5 78.906 (74.970)
Epoch: [40][8040/14090]	Time 0.781 (0.767)	Data 0.001 (0.001)	Loss 2.0944 (2.2124)	Prec@1 46.094 (44.378)	Prec@5 83.594 (74.972)
Epoch: [40][8050/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 2.2029 (2.2124)	Prec@1 48.438 (44.379)	Prec@5 70.312 (74.970)
Epoch: [40][8060/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 1.9932 (2.2124)	Prec@1 49.219 (44.378)	Prec@5 80.469 (74.971)
Epoch: [40][8070/14090]	Time 0.872 (0.767)	Data 0.001 (0.001)	Loss 2.2319 (2.2123)	Prec@1 39.062 (44.378)	Prec@5 75.000 (74.970)
Epoch: [40][8080/14090]	Time 0.751 (0.767)	Data 0.002 (0.001)	Loss 2.4330 (2.2123)	Prec@1 40.625 (44.377)	Prec@5 66.406 (74.971)
Epoch: [40][8090/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 2.0094 (2.2124)	Prec@1 54.688 (44.376)	Prec@5 72.656 (74.970)
Epoch: [40][8100/14090]	Time 0.725 (0.767)	Data 0.001 (0.001)	Loss 2.1212 (2.2124)	Prec@1 48.438 (44.377)	Prec@5 74.219 (74.970)
Epoch: [40][8110/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 2.1698 (2.2123)	Prec@1 46.094 (44.380)	Prec@5 75.000 (74.973)
Epoch: [40][8120/14090]	Time 0.764 (0.767)	Data 0.001 (0.001)	Loss 1.9987 (2.2122)	Prec@1 50.000 (44.382)	Prec@5 78.906 (74.977)
Epoch: [40][8130/14090]	Time 0.766 (0.767)	Data 0.001 (0.001)	Loss 2.0142 (2.2122)	Prec@1 50.781 (44.380)	Prec@5 75.781 (74.977)
Epoch: [40][8140/14090]	Time 0.896 (0.767)	Data 0.003 (0.001)	Loss 2.3865 (2.2121)	Prec@1 46.094 (44.382)	Prec@5 73.438 (74.977)
Epoch: [40][8150/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 2.5555 (2.2122)	Prec@1 41.406 (44.380)	Prec@5 68.750 (74.978)
Epoch: [40][8160/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 2.0031 (2.2122)	Prec@1 46.875 (44.379)	Prec@5 80.469 (74.977)
Epoch: [40][8170/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 2.1276 (2.2122)	Prec@1 43.750 (44.378)	Prec@5 71.875 (74.976)
Epoch: [40][8180/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 2.0914 (2.2123)	Prec@1 46.875 (44.378)	Prec@5 76.562 (74.973)
Epoch: [40][8190/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 2.4643 (2.2124)	Prec@1 40.625 (44.376)	Prec@5 71.875 (74.971)
Epoch: [40][8200/14090]	Time 0.773 (0.767)	Data 0.001 (0.001)	Loss 2.2250 (2.2123)	Prec@1 44.531 (44.378)	Prec@5 74.219 (74.973)
Epoch: [40][8210/14090]	Time 0.849 (0.767)	Data 0.001 (0.001)	Loss 2.5450 (2.2125)	Prec@1 38.281 (44.373)	Prec@5 66.406 (74.968)
Epoch: [40][8220/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 1.8748 (2.2125)	Prec@1 48.438 (44.375)	Prec@5 83.594 (74.967)
Epoch: [40][8230/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 2.3391 (2.2125)	Prec@1 42.969 (44.373)	Prec@5 68.750 (74.967)
Epoch: [40][8240/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 2.1014 (2.2126)	Prec@1 43.750 (44.371)	Prec@5 75.781 (74.967)
Epoch: [40][8250/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 2.1095 (2.2126)	Prec@1 48.438 (44.370)	Prec@5 76.562 (74.966)
Epoch: [40][8260/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 2.1754 (2.2126)	Prec@1 41.406 (44.369)	Prec@5 77.344 (74.966)
Epoch: [40][8270/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 2.2311 (2.2127)	Prec@1 47.656 (44.368)	Prec@5 75.781 (74.967)
Epoch: [40][8280/14090]	Time 0.845 (0.767)	Data 0.001 (0.001)	Loss 2.0635 (2.2126)	Prec@1 49.219 (44.367)	Prec@5 82.031 (74.969)
Epoch: [40][8290/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.1728 (2.2126)	Prec@1 49.219 (44.368)	Prec@5 77.344 (74.969)
Epoch: [40][8300/14090]	Time 0.764 (0.767)	Data 0.001 (0.001)	Loss 2.0307 (2.2126)	Prec@1 49.219 (44.369)	Prec@5 73.438 (74.970)
Epoch: [40][8310/14090]	Time 0.727 (0.767)	Data 0.001 (0.001)	Loss 2.2187 (2.2126)	Prec@1 45.312 (44.371)	Prec@5 71.875 (74.968)
Epoch: [40][8320/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.2515 (2.2126)	Prec@1 40.625 (44.370)	Prec@5 78.125 (74.968)
Epoch: [40][8330/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 2.2567 (2.2127)	Prec@1 45.312 (44.368)	Prec@5 75.781 (74.967)
Epoch: [40][8340/14090]	Time 0.775 (0.767)	Data 0.001 (0.001)	Loss 2.4829 (2.2127)	Prec@1 43.750 (44.368)	Prec@5 71.094 (74.967)
Epoch: [40][8350/14090]	Time 0.881 (0.767)	Data 0.001 (0.001)	Loss 2.3229 (2.2126)	Prec@1 45.312 (44.369)	Prec@5 71.094 (74.969)
Epoch: [40][8360/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 2.3746 (2.2126)	Prec@1 36.719 (44.369)	Prec@5 73.438 (74.970)
Epoch: [40][8370/14090]	Time 0.724 (0.767)	Data 0.001 (0.001)	Loss 2.0258 (2.2126)	Prec@1 49.219 (44.372)	Prec@5 76.562 (74.971)
Epoch: [40][8380/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 2.4075 (2.2127)	Prec@1 42.188 (44.370)	Prec@5 69.531 (74.970)
Epoch: [40][8390/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 2.2446 (2.2127)	Prec@1 40.625 (44.368)	Prec@5 70.312 (74.970)
Epoch: [40][8400/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 2.0286 (2.2126)	Prec@1 47.656 (44.367)	Prec@5 76.562 (74.971)
Epoch: [40][8410/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.0628 (2.2127)	Prec@1 46.094 (44.366)	Prec@5 78.906 (74.970)
Epoch: [40][8420/14090]	Time 0.869 (0.767)	Data 0.001 (0.001)	Loss 2.3958 (2.2127)	Prec@1 45.312 (44.369)	Prec@5 75.781 (74.970)
Epoch: [40][8430/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.2473 (2.2128)	Prec@1 42.188 (44.369)	Prec@5 71.094 (74.966)
Epoch: [40][8440/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 2.3362 (2.2128)	Prec@1 43.750 (44.370)	Prec@5 74.219 (74.966)
Epoch: [40][8450/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 2.2001 (2.2128)	Prec@1 46.875 (44.369)	Prec@5 70.312 (74.965)
Epoch: [40][8460/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 2.2987 (2.2128)	Prec@1 41.406 (44.370)	Prec@5 72.656 (74.966)
Epoch: [40][8470/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 2.4254 (2.2128)	Prec@1 35.938 (44.369)	Prec@5 70.312 (74.965)
Epoch: [40][8480/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 2.3423 (2.2129)	Prec@1 42.969 (44.367)	Prec@5 74.219 (74.966)
Epoch: [40][8490/14090]	Time 0.840 (0.767)	Data 0.001 (0.001)	Loss 2.5072 (2.2129)	Prec@1 40.625 (44.367)	Prec@5 69.531 (74.965)
Epoch: [40][8500/14090]	Time 0.765 (0.767)	Data 0.001 (0.001)	Loss 2.1627 (2.2131)	Prec@1 51.562 (44.366)	Prec@5 75.781 (74.961)
Epoch: [40][8510/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 2.3022 (2.2131)	Prec@1 40.625 (44.367)	Prec@5 76.562 (74.961)
Epoch: [40][8520/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 2.0374 (2.2131)	Prec@1 46.875 (44.367)	Prec@5 79.688 (74.962)
Epoch: [40][8530/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 2.0244 (2.2129)	Prec@1 47.656 (44.371)	Prec@5 80.469 (74.963)
Epoch: [40][8540/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 2.4661 (2.2129)	Prec@1 35.156 (44.370)	Prec@5 71.094 (74.963)
Epoch: [40][8550/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 1.9903 (2.2130)	Prec@1 47.656 (44.369)	Prec@5 81.250 (74.964)
Epoch: [40][8560/14090]	Time 0.852 (0.767)	Data 0.001 (0.001)	Loss 2.1748 (2.2130)	Prec@1 48.438 (44.371)	Prec@5 77.344 (74.964)
Epoch: [40][8570/14090]	Time 0.722 (0.767)	Data 0.001 (0.001)	Loss 2.0690 (2.2130)	Prec@1 52.344 (44.372)	Prec@5 78.125 (74.964)
Epoch: [40][8580/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 1.9785 (2.2129)	Prec@1 51.562 (44.375)	Prec@5 78.906 (74.965)
Epoch: [40][8590/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 2.3722 (2.2128)	Prec@1 39.062 (44.375)	Prec@5 72.656 (74.967)
Epoch: [40][8600/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.1584 (2.2128)	Prec@1 45.312 (44.377)	Prec@5 78.125 (74.969)
Epoch: [40][8610/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.0962 (2.2128)	Prec@1 46.094 (44.377)	Prec@5 72.656 (74.968)
Epoch: [40][8620/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 2.2186 (2.2128)	Prec@1 47.656 (44.378)	Prec@5 73.438 (74.969)
Epoch: [40][8630/14090]	Time 0.871 (0.767)	Data 0.001 (0.001)	Loss 1.8659 (2.2126)	Prec@1 54.688 (44.381)	Prec@5 80.469 (74.974)
Epoch: [40][8640/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 2.5479 (2.2126)	Prec@1 37.500 (44.378)	Prec@5 66.406 (74.972)
Epoch: [40][8650/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 2.1614 (2.2127)	Prec@1 45.312 (44.378)	Prec@5 76.562 (74.971)
Epoch: [40][8660/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 2.4898 (2.2127)	Prec@1 36.719 (44.376)	Prec@5 69.531 (74.970)
Epoch: [40][8670/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.1612 (2.2127)	Prec@1 50.000 (44.376)	Prec@5 77.344 (74.970)
Epoch: [40][8680/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 2.2795 (2.2127)	Prec@1 42.969 (44.375)	Prec@5 71.094 (74.969)
Epoch: [40][8690/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 2.0924 (2.2127)	Prec@1 44.531 (44.376)	Prec@5 75.781 (74.969)
Epoch: [40][8700/14090]	Time 0.884 (0.767)	Data 0.001 (0.001)	Loss 2.3236 (2.2127)	Prec@1 47.656 (44.376)	Prec@5 74.219 (74.970)
Epoch: [40][8710/14090]	Time 0.767 (0.767)	Data 0.001 (0.001)	Loss 2.2079 (2.2127)	Prec@1 46.875 (44.377)	Prec@5 77.344 (74.970)
Epoch: [40][8720/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 2.2515 (2.2126)	Prec@1 40.625 (44.380)	Prec@5 74.219 (74.970)
Epoch: [40][8730/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 2.2023 (2.2126)	Prec@1 42.969 (44.381)	Prec@5 76.562 (74.970)
Epoch: [40][8740/14090]	Time 0.774 (0.767)	Data 0.001 (0.001)	Loss 2.1268 (2.2126)	Prec@1 49.219 (44.380)	Prec@5 78.125 (74.970)
Epoch: [40][8750/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 2.2571 (2.2126)	Prec@1 40.625 (44.379)	Prec@5 72.656 (74.970)
Epoch: [40][8760/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 1.7916 (2.2126)	Prec@1 57.812 (44.378)	Prec@5 84.375 (74.971)
Epoch: [40][8770/14090]	Time 0.864 (0.767)	Data 0.001 (0.001)	Loss 2.2199 (2.2126)	Prec@1 46.094 (44.377)	Prec@5 77.344 (74.971)
Epoch: [40][8780/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 1.9851 (2.2125)	Prec@1 48.438 (44.377)	Prec@5 79.688 (74.972)
Epoch: [40][8790/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 2.3926 (2.2126)	Prec@1 41.406 (44.376)	Prec@5 68.750 (74.969)
Epoch: [40][8800/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 2.2024 (2.2126)	Prec@1 42.188 (44.378)	Prec@5 78.125 (74.970)
Epoch: [40][8810/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 2.1261 (2.2126)	Prec@1 48.438 (44.378)	Prec@5 78.125 (74.969)
Epoch: [40][8820/14090]	Time 0.725 (0.767)	Data 0.001 (0.001)	Loss 2.2987 (2.2125)	Prec@1 46.094 (44.381)	Prec@5 72.656 (74.973)
Epoch: [40][8830/14090]	Time 0.785 (0.767)	Data 0.001 (0.001)	Loss 2.0249 (2.2124)	Prec@1 49.219 (44.382)	Prec@5 78.125 (74.973)
Epoch: [40][8840/14090]	Time 0.862 (0.767)	Data 0.001 (0.001)	Loss 2.2812 (2.2124)	Prec@1 43.750 (44.382)	Prec@5 68.750 (74.973)
Epoch: [40][8850/14090]	Time 0.772 (0.767)	Data 0.001 (0.001)	Loss 2.1724 (2.2124)	Prec@1 50.781 (44.380)	Prec@5 73.438 (74.972)
Epoch: [40][8860/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.0932 (2.2125)	Prec@1 51.562 (44.378)	Prec@5 77.344 (74.972)
Epoch: [40][8870/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 2.2563 (2.2125)	Prec@1 44.531 (44.377)	Prec@5 69.531 (74.971)
Epoch: [40][8880/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 2.2995 (2.2125)	Prec@1 42.188 (44.376)	Prec@5 74.219 (74.972)
Epoch: [40][8890/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 2.0831 (2.2126)	Prec@1 47.656 (44.375)	Prec@5 75.781 (74.970)
Epoch: [40][8900/14090]	Time 0.725 (0.767)	Data 0.001 (0.001)	Loss 2.3298 (2.2126)	Prec@1 44.531 (44.374)	Prec@5 70.312 (74.968)
Epoch: [40][8910/14090]	Time 0.870 (0.767)	Data 0.001 (0.001)	Loss 2.0763 (2.2126)	Prec@1 44.531 (44.373)	Prec@5 79.688 (74.968)
Epoch: [40][8920/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 2.0668 (2.2125)	Prec@1 42.188 (44.373)	Prec@5 78.125 (74.971)
Epoch: [40][8930/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.0851 (2.2125)	Prec@1 42.969 (44.374)	Prec@5 78.906 (74.971)
Epoch: [40][8940/14090]	Time 0.721 (0.767)	Data 0.001 (0.001)	Loss 2.1447 (2.2125)	Prec@1 46.875 (44.376)	Prec@5 75.000 (74.971)
Epoch: [40][8950/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 2.4089 (2.2124)	Prec@1 43.750 (44.376)	Prec@5 74.219 (74.972)
Epoch: [40][8960/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 2.1276 (2.2124)	Prec@1 53.906 (44.379)	Prec@5 75.000 (74.972)
Epoch: [40][8970/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 2.3302 (2.2123)	Prec@1 39.062 (44.379)	Prec@5 76.562 (74.975)
Epoch: [40][8980/14090]	Time 0.921 (0.767)	Data 0.001 (0.001)	Loss 2.5163 (2.2123)	Prec@1 37.500 (44.380)	Prec@5 67.969 (74.975)
Epoch: [40][8990/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 2.2305 (2.2124)	Prec@1 43.750 (44.379)	Prec@5 72.656 (74.972)
Epoch: [40][9000/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 2.2696 (2.2125)	Prec@1 49.219 (44.379)	Prec@5 77.344 (74.970)
Epoch: [40][9010/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 2.3148 (2.2126)	Prec@1 42.188 (44.377)	Prec@5 75.000 (74.969)
Epoch: [40][9020/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 2.0219 (2.2125)	Prec@1 46.094 (44.378)	Prec@5 77.344 (74.969)
Epoch: [40][9030/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.1557 (2.2125)	Prec@1 46.094 (44.378)	Prec@5 78.125 (74.971)
Epoch: [40][9040/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 2.1369 (2.2124)	Prec@1 41.406 (44.381)	Prec@5 71.094 (74.971)
Epoch: [40][9050/14090]	Time 0.876 (0.767)	Data 0.001 (0.001)	Loss 1.9442 (2.2124)	Prec@1 47.656 (44.381)	Prec@5 81.250 (74.971)
Epoch: [40][9060/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.1366 (2.2125)	Prec@1 46.875 (44.380)	Prec@5 75.781 (74.970)
Epoch: [40][9070/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 2.0567 (2.2125)	Prec@1 52.344 (44.380)	Prec@5 78.125 (74.970)
Epoch: [40][9080/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 2.2393 (2.2124)	Prec@1 41.406 (44.380)	Prec@5 73.438 (74.970)
Epoch: [40][9090/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 1.8278 (2.2124)	Prec@1 53.125 (44.380)	Prec@5 78.125 (74.972)
Epoch: [40][9100/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 2.6418 (2.2126)	Prec@1 33.594 (44.378)	Prec@5 66.406 (74.969)
Epoch: [40][9110/14090]	Time 0.781 (0.767)	Data 0.001 (0.001)	Loss 2.4532 (2.2125)	Prec@1 36.719 (44.379)	Prec@5 72.656 (74.970)
Epoch: [40][9120/14090]	Time 0.819 (0.767)	Data 0.001 (0.001)	Loss 2.2021 (2.2124)	Prec@1 38.281 (44.381)	Prec@5 75.781 (74.972)
Epoch: [40][9130/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 2.2833 (2.2125)	Prec@1 42.969 (44.378)	Prec@5 75.000 (74.972)
Epoch: [40][9140/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 2.2791 (2.2124)	Prec@1 44.531 (44.377)	Prec@5 70.312 (74.973)
Epoch: [40][9150/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.1231 (2.2123)	Prec@1 48.438 (44.379)	Prec@5 75.000 (74.974)
Epoch: [40][9160/14090]	Time 0.766 (0.767)	Data 0.001 (0.001)	Loss 2.1744 (2.2124)	Prec@1 46.094 (44.378)	Prec@5 73.438 (74.975)
Epoch: [40][9170/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 2.4394 (2.2125)	Prec@1 35.938 (44.377)	Prec@5 74.219 (74.973)
Epoch: [40][9180/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 2.2047 (2.2125)	Prec@1 43.750 (44.375)	Prec@5 77.344 (74.973)
Epoch: [40][9190/14090]	Time 0.848 (0.767)	Data 0.001 (0.001)	Loss 2.2815 (2.2125)	Prec@1 46.094 (44.376)	Prec@5 76.562 (74.972)
Epoch: [40][9200/14090]	Time 0.724 (0.767)	Data 0.001 (0.001)	Loss 2.6365 (2.2127)	Prec@1 38.281 (44.373)	Prec@5 67.188 (74.970)
Epoch: [40][9210/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 2.2488 (2.2127)	Prec@1 47.656 (44.373)	Prec@5 76.562 (74.971)
Epoch: [40][9220/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 2.0180 (2.2128)	Prec@1 49.219 (44.371)	Prec@5 77.344 (74.970)
Epoch: [40][9230/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.2640 (2.2129)	Prec@1 42.969 (44.368)	Prec@5 76.562 (74.970)
Epoch: [40][9240/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 2.1556 (2.2129)	Prec@1 47.656 (44.367)	Prec@5 80.469 (74.970)
Epoch: [40][9250/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 2.6042 (2.2129)	Prec@1 42.969 (44.365)	Prec@5 68.750 (74.970)
Epoch: [40][9260/14090]	Time 0.903 (0.767)	Data 0.001 (0.001)	Loss 2.0863 (2.2129)	Prec@1 53.125 (44.368)	Prec@5 76.562 (74.969)
Epoch: [40][9270/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 2.3777 (2.2128)	Prec@1 36.719 (44.368)	Prec@5 70.312 (74.969)
Epoch: [40][9280/14090]	Time 0.772 (0.767)	Data 0.001 (0.001)	Loss 1.9304 (2.2129)	Prec@1 46.094 (44.367)	Prec@5 76.562 (74.966)
Epoch: [40][9290/14090]	Time 0.773 (0.767)	Data 0.001 (0.001)	Loss 1.8321 (2.2130)	Prec@1 57.812 (44.367)	Prec@5 84.375 (74.966)
Epoch: [40][9300/14090]	Time 0.770 (0.767)	Data 0.001 (0.001)	Loss 2.0165 (2.2130)	Prec@1 50.781 (44.367)	Prec@5 72.656 (74.966)
Epoch: [40][9310/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.0223 (2.2130)	Prec@1 50.000 (44.366)	Prec@5 82.812 (74.966)
Epoch: [40][9320/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.1061 (2.2131)	Prec@1 48.438 (44.366)	Prec@5 78.125 (74.962)
Epoch: [40][9330/14090]	Time 0.885 (0.767)	Data 0.001 (0.001)	Loss 2.0619 (2.2131)	Prec@1 51.562 (44.367)	Prec@5 82.031 (74.963)
Epoch: [40][9340/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 1.9331 (2.2131)	Prec@1 54.688 (44.367)	Prec@5 79.688 (74.962)
Epoch: [40][9350/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 2.0933 (2.2130)	Prec@1 46.094 (44.368)	Prec@5 67.969 (74.963)
Epoch: [40][9360/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.0574 (2.2130)	Prec@1 51.562 (44.368)	Prec@5 78.125 (74.963)
Epoch: [40][9370/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 2.2763 (2.2131)	Prec@1 46.094 (44.367)	Prec@5 74.219 (74.960)
Epoch: [40][9380/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 2.5711 (2.2131)	Prec@1 39.844 (44.367)	Prec@5 67.969 (74.960)
Epoch: [40][9390/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 2.2017 (2.2131)	Prec@1 44.531 (44.367)	Prec@5 76.562 (74.961)
Epoch: [40][9400/14090]	Time 0.962 (0.767)	Data 0.001 (0.001)	Loss 2.5160 (2.2132)	Prec@1 37.500 (44.366)	Prec@5 67.188 (74.960)
Epoch: [40][9410/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.0970 (2.2131)	Prec@1 45.312 (44.367)	Prec@5 76.562 (74.961)
Epoch: [40][9420/14090]	Time 0.763 (0.767)	Data 0.001 (0.001)	Loss 2.2097 (2.2131)	Prec@1 45.312 (44.367)	Prec@5 78.125 (74.962)
Epoch: [40][9430/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 2.2358 (2.2132)	Prec@1 45.312 (44.366)	Prec@5 76.562 (74.960)
Epoch: [40][9440/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 2.4543 (2.2132)	Prec@1 35.156 (44.367)	Prec@5 71.875 (74.960)
Epoch: [40][9450/14090]	Time 0.764 (0.767)	Data 0.001 (0.001)	Loss 2.0284 (2.2131)	Prec@1 51.562 (44.366)	Prec@5 77.344 (74.959)
Epoch: [40][9460/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 1.9173 (2.2131)	Prec@1 53.125 (44.366)	Prec@5 81.250 (74.960)
Epoch: [40][9470/14090]	Time 0.882 (0.767)	Data 0.001 (0.001)	Loss 2.7517 (2.2133)	Prec@1 35.938 (44.364)	Prec@5 67.188 (74.958)
Epoch: [40][9480/14090]	Time 0.767 (0.767)	Data 0.001 (0.001)	Loss 2.2866 (2.2133)	Prec@1 46.094 (44.365)	Prec@5 77.344 (74.958)
Epoch: [40][9490/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 2.6985 (2.2132)	Prec@1 32.812 (44.365)	Prec@5 69.531 (74.960)
Epoch: [40][9500/14090]	Time 0.772 (0.767)	Data 0.001 (0.001)	Loss 2.6089 (2.2132)	Prec@1 39.062 (44.365)	Prec@5 69.531 (74.960)
Epoch: [40][9510/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 2.2259 (2.2132)	Prec@1 46.875 (44.364)	Prec@5 75.000 (74.959)
Epoch: [40][9520/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 2.2856 (2.2133)	Prec@1 45.312 (44.365)	Prec@5 76.562 (74.959)
Epoch: [40][9530/14090]	Time 0.773 (0.767)	Data 0.001 (0.001)	Loss 1.9742 (2.2132)	Prec@1 50.000 (44.367)	Prec@5 82.031 (74.962)
Epoch: [40][9540/14090]	Time 0.890 (0.767)	Data 0.001 (0.001)	Loss 2.3190 (2.2132)	Prec@1 40.625 (44.367)	Prec@5 68.750 (74.960)
Epoch: [40][9550/14090]	Time 0.771 (0.767)	Data 0.001 (0.001)	Loss 2.6141 (2.2134)	Prec@1 40.625 (44.365)	Prec@5 71.875 (74.959)
Epoch: [40][9560/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 2.1928 (2.2133)	Prec@1 46.094 (44.365)	Prec@5 75.781 (74.960)
Epoch: [40][9570/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 2.2768 (2.2133)	Prec@1 44.531 (44.370)	Prec@5 71.094 (74.960)
Epoch: [40][9580/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 2.2903 (2.2133)	Prec@1 39.062 (44.368)	Prec@5 79.688 (74.960)
Epoch: [40][9590/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 2.4839 (2.2133)	Prec@1 42.188 (44.367)	Prec@5 70.312 (74.959)
Epoch: [40][9600/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.0921 (2.2133)	Prec@1 42.969 (44.366)	Prec@5 79.688 (74.960)
Epoch: [40][9610/14090]	Time 0.894 (0.767)	Data 0.001 (0.001)	Loss 2.3163 (2.2134)	Prec@1 43.750 (44.366)	Prec@5 69.531 (74.958)
Epoch: [40][9620/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 2.5565 (2.2135)	Prec@1 41.406 (44.364)	Prec@5 66.406 (74.957)
Epoch: [40][9630/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 1.9922 (2.2134)	Prec@1 48.438 (44.367)	Prec@5 74.219 (74.959)
Epoch: [40][9640/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 2.1722 (2.2134)	Prec@1 38.281 (44.366)	Prec@5 78.125 (74.960)
Epoch: [40][9650/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.4016 (2.2135)	Prec@1 35.938 (44.364)	Prec@5 75.000 (74.959)
Epoch: [40][9660/14090]	Time 0.756 (0.767)	Data 0.002 (0.001)	Loss 2.0214 (2.2134)	Prec@1 50.781 (44.364)	Prec@5 78.125 (74.961)
Epoch: [40][9670/14090]	Time 0.747 (0.767)	Data 0.002 (0.001)	Loss 2.2503 (2.2134)	Prec@1 41.406 (44.364)	Prec@5 74.219 (74.960)
Epoch: [40][9680/14090]	Time 0.806 (0.767)	Data 0.001 (0.001)	Loss 2.1967 (2.2135)	Prec@1 47.656 (44.363)	Prec@5 74.219 (74.959)
Epoch: [40][9690/14090]	Time 0.777 (0.767)	Data 0.001 (0.001)	Loss 2.5151 (2.2135)	Prec@1 42.188 (44.361)	Prec@5 71.875 (74.958)
Epoch: [40][9700/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 2.1058 (2.2136)	Prec@1 46.094 (44.361)	Prec@5 73.438 (74.957)
Epoch: [40][9710/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 2.3912 (2.2137)	Prec@1 43.750 (44.358)	Prec@5 67.969 (74.955)
Epoch: [40][9720/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.2252 (2.2138)	Prec@1 43.750 (44.357)	Prec@5 71.875 (74.954)
Epoch: [40][9730/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 2.2847 (2.2138)	Prec@1 42.969 (44.356)	Prec@5 74.219 (74.953)
Epoch: [40][9740/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 2.1922 (2.2138)	Prec@1 47.656 (44.356)	Prec@5 71.875 (74.954)
Epoch: [40][9750/14090]	Time 0.869 (0.767)	Data 0.001 (0.001)	Loss 2.3418 (2.2137)	Prec@1 38.281 (44.357)	Prec@5 71.094 (74.955)
Epoch: [40][9760/14090]	Time 0.727 (0.767)	Data 0.001 (0.001)	Loss 2.2629 (2.2137)	Prec@1 43.750 (44.357)	Prec@5 71.875 (74.955)
Epoch: [40][9770/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 2.0669 (2.2137)	Prec@1 43.750 (44.359)	Prec@5 75.781 (74.956)
Epoch: [40][9780/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.4545 (2.2138)	Prec@1 41.406 (44.357)	Prec@5 70.312 (74.954)
Epoch: [40][9790/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 2.4028 (2.2138)	Prec@1 42.969 (44.358)	Prec@5 67.188 (74.953)
Epoch: [40][9800/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 1.9746 (2.2139)	Prec@1 50.000 (44.359)	Prec@5 79.688 (74.952)
Epoch: [40][9810/14090]	Time 0.789 (0.767)	Data 0.001 (0.001)	Loss 2.0669 (2.2138)	Prec@1 45.312 (44.360)	Prec@5 78.125 (74.953)
Epoch: [40][9820/14090]	Time 0.903 (0.767)	Data 0.001 (0.001)	Loss 2.1205 (2.2138)	Prec@1 42.188 (44.360)	Prec@5 78.125 (74.954)
Epoch: [40][9830/14090]	Time 0.764 (0.767)	Data 0.001 (0.001)	Loss 2.2822 (2.2138)	Prec@1 38.281 (44.359)	Prec@5 77.344 (74.954)
Epoch: [40][9840/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 1.9548 (2.2138)	Prec@1 45.312 (44.359)	Prec@5 77.344 (74.955)
Epoch: [40][9850/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 2.0888 (2.2138)	Prec@1 46.094 (44.361)	Prec@5 73.438 (74.955)
Epoch: [40][9860/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 2.5585 (2.2138)	Prec@1 37.500 (44.360)	Prec@5 74.219 (74.955)
Epoch: [40][9870/14090]	Time 0.726 (0.767)	Data 0.001 (0.001)	Loss 2.2474 (2.2138)	Prec@1 49.219 (44.362)	Prec@5 72.656 (74.954)
Epoch: [40][9880/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 1.9659 (2.2138)	Prec@1 50.000 (44.361)	Prec@5 77.344 (74.953)
Epoch: [40][9890/14090]	Time 0.884 (0.767)	Data 0.001 (0.001)	Loss 1.7669 (2.2138)	Prec@1 54.688 (44.361)	Prec@5 83.594 (74.953)
Epoch: [40][9900/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 2.4886 (2.2138)	Prec@1 43.750 (44.362)	Prec@5 72.656 (74.952)
Epoch: [40][9910/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.1511 (2.2138)	Prec@1 45.312 (44.362)	Prec@5 82.812 (74.953)
Epoch: [40][9920/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 1.9268 (2.2137)	Prec@1 55.469 (44.363)	Prec@5 80.469 (74.955)
Epoch: [40][9930/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 2.2223 (2.2137)	Prec@1 46.094 (44.363)	Prec@5 72.656 (74.955)
Epoch: [40][9940/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 2.2247 (2.2137)	Prec@1 44.531 (44.363)	Prec@5 76.562 (74.955)
Epoch: [40][9950/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 2.0947 (2.2136)	Prec@1 50.000 (44.364)	Prec@5 74.219 (74.956)
Epoch: [40][9960/14090]	Time 0.871 (0.767)	Data 0.001 (0.001)	Loss 2.1639 (2.2136)	Prec@1 44.531 (44.362)	Prec@5 75.781 (74.957)
Epoch: [40][9970/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 2.5702 (2.2137)	Prec@1 39.062 (44.361)	Prec@5 67.969 (74.956)
Epoch: [40][9980/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 2.1711 (2.2138)	Prec@1 46.094 (44.360)	Prec@5 78.125 (74.956)
Epoch: [40][9990/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 2.4003 (2.2138)	Prec@1 44.531 (44.360)	Prec@5 73.438 (74.956)
Epoch: [40][10000/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 1.9238 (2.2138)	Prec@1 46.875 (44.359)	Prec@5 81.250 (74.956)
Epoch: [40][10010/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 2.5371 (2.2137)	Prec@1 34.375 (44.358)	Prec@5 71.875 (74.957)
Epoch: [40][10020/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 2.2428 (2.2137)	Prec@1 42.969 (44.359)	Prec@5 74.219 (74.958)
Epoch: [40][10030/14090]	Time 0.846 (0.767)	Data 0.001 (0.001)	Loss 2.3026 (2.2138)	Prec@1 41.406 (44.358)	Prec@5 71.875 (74.958)
Epoch: [40][10040/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 2.3496 (2.2137)	Prec@1 43.750 (44.358)	Prec@5 69.531 (74.959)
Epoch: [40][10050/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.4313 (2.2137)	Prec@1 42.188 (44.358)	Prec@5 75.000 (74.958)
Epoch: [40][10060/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 2.0368 (2.2137)	Prec@1 50.000 (44.356)	Prec@5 76.562 (74.960)
Epoch: [40][10070/14090]	Time 0.776 (0.767)	Data 0.001 (0.001)	Loss 2.4713 (2.2137)	Prec@1 42.188 (44.356)	Prec@5 68.750 (74.960)
Epoch: [40][10080/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 1.9820 (2.2137)	Prec@1 48.438 (44.357)	Prec@5 80.469 (74.961)
Epoch: [40][10090/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 2.3951 (2.2137)	Prec@1 49.219 (44.359)	Prec@5 71.875 (74.960)
Epoch: [40][10100/14090]	Time 0.877 (0.767)	Data 0.001 (0.001)	Loss 2.2901 (2.2137)	Prec@1 38.281 (44.357)	Prec@5 75.781 (74.961)
Epoch: [40][10110/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 2.2945 (2.2138)	Prec@1 46.875 (44.356)	Prec@5 74.219 (74.960)
Epoch: [40][10120/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 2.3505 (2.2138)	Prec@1 42.969 (44.356)	Prec@5 69.531 (74.959)
Epoch: [40][10130/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 2.3560 (2.2138)	Prec@1 40.625 (44.356)	Prec@5 67.969 (74.959)
Epoch: [40][10140/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 2.2348 (2.2137)	Prec@1 38.281 (44.356)	Prec@5 71.094 (74.957)
Epoch: [40][10150/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 2.1861 (2.2138)	Prec@1 45.312 (44.356)	Prec@5 73.438 (74.955)
Epoch: [40][10160/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 2.2307 (2.2139)	Prec@1 42.188 (44.355)	Prec@5 75.781 (74.954)
Epoch: [40][10170/14090]	Time 0.829 (0.767)	Data 0.001 (0.001)	Loss 2.2230 (2.2139)	Prec@1 40.625 (44.354)	Prec@5 75.781 (74.953)
Epoch: [40][10180/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 2.2556 (2.2139)	Prec@1 46.875 (44.355)	Prec@5 72.656 (74.954)
Epoch: [40][10190/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 2.2969 (2.2138)	Prec@1 39.062 (44.356)	Prec@5 76.562 (74.954)
Epoch: [40][10200/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 2.1600 (2.2139)	Prec@1 42.969 (44.355)	Prec@5 77.344 (74.953)
Epoch: [40][10210/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 2.2276 (2.2139)	Prec@1 43.750 (44.356)	Prec@5 73.438 (74.954)
Epoch: [40][10220/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 2.0434 (2.2139)	Prec@1 46.875 (44.356)	Prec@5 77.344 (74.953)
Epoch: [40][10230/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 2.1763 (2.2140)	Prec@1 45.312 (44.353)	Prec@5 81.250 (74.952)
Epoch: [40][10240/14090]	Time 1.026 (0.767)	Data 0.001 (0.001)	Loss 2.3470 (2.2139)	Prec@1 45.312 (44.355)	Prec@5 71.094 (74.952)
Epoch: [40][10250/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 2.2880 (2.2140)	Prec@1 47.656 (44.354)	Prec@5 75.000 (74.951)
Epoch: [40][10260/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 2.0107 (2.2140)	Prec@1 50.781 (44.353)	Prec@5 76.562 (74.951)
Epoch: [40][10270/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.2038 (2.2140)	Prec@1 40.625 (44.352)	Prec@5 77.344 (74.951)
Epoch: [40][10280/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 2.7730 (2.2141)	Prec@1 30.469 (44.351)	Prec@5 65.625 (74.950)
Epoch: [40][10290/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 2.1897 (2.2141)	Prec@1 42.188 (44.350)	Prec@5 73.438 (74.950)
Epoch: [40][10300/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 2.3955 (2.2141)	Prec@1 38.281 (44.349)	Prec@5 74.219 (74.948)
Epoch: [40][10310/14090]	Time 0.868 (0.767)	Data 0.001 (0.001)	Loss 2.2577 (2.2141)	Prec@1 40.625 (44.348)	Prec@5 71.875 (74.946)
Epoch: [40][10320/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 2.5061 (2.2142)	Prec@1 42.188 (44.345)	Prec@5 67.188 (74.942)
Epoch: [40][10330/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 2.4224 (2.2143)	Prec@1 38.281 (44.344)	Prec@5 70.312 (74.941)
Epoch: [40][10340/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 2.2054 (2.2144)	Prec@1 42.969 (44.342)	Prec@5 75.000 (74.939)
Epoch: [40][10350/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 2.3108 (2.2143)	Prec@1 46.094 (44.342)	Prec@5 71.094 (74.940)
Epoch: [40][10360/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 2.1101 (2.2143)	Prec@1 50.000 (44.344)	Prec@5 73.438 (74.941)
Epoch: [40][10370/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 2.4626 (2.2144)	Prec@1 44.531 (44.343)	Prec@5 75.000 (74.940)
Epoch: [40][10380/14090]	Time 0.878 (0.767)	Data 0.001 (0.001)	Loss 1.9713 (2.2144)	Prec@1 54.688 (44.345)	Prec@5 79.688 (74.940)
Epoch: [40][10390/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 1.9516 (2.2144)	Prec@1 50.000 (44.344)	Prec@5 84.375 (74.941)
Epoch: [40][10400/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.0668 (2.2144)	Prec@1 45.312 (44.344)	Prec@5 76.562 (74.941)
Epoch: [40][10410/14090]	Time 0.721 (0.767)	Data 0.001 (0.001)	Loss 1.9613 (2.2144)	Prec@1 51.562 (44.343)	Prec@5 78.906 (74.941)
Epoch: [40][10420/14090]	Time 0.774 (0.767)	Data 0.001 (0.001)	Loss 2.1604 (2.2144)	Prec@1 39.062 (44.341)	Prec@5 75.781 (74.942)
Epoch: [40][10430/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 2.2694 (2.2144)	Prec@1 42.188 (44.342)	Prec@5 73.438 (74.943)
Epoch: [40][10440/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 2.2468 (2.2144)	Prec@1 42.188 (44.341)	Prec@5 76.562 (74.942)
Epoch: [40][10450/14090]	Time 0.907 (0.767)	Data 0.001 (0.001)	Loss 2.3886 (2.2144)	Prec@1 39.062 (44.339)	Prec@5 70.312 (74.941)
Epoch: [40][10460/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 2.3660 (2.2145)	Prec@1 41.406 (44.338)	Prec@5 69.531 (74.940)
Epoch: [40][10470/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 2.4463 (2.2145)	Prec@1 41.406 (44.338)	Prec@5 67.969 (74.940)
Epoch: [40][10480/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.1755 (2.2145)	Prec@1 43.750 (44.336)	Prec@5 73.438 (74.940)
Epoch: [40][10490/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 2.3713 (2.2145)	Prec@1 44.531 (44.338)	Prec@5 67.188 (74.941)
Epoch: [40][10500/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 2.1397 (2.2145)	Prec@1 45.312 (44.340)	Prec@5 77.344 (74.941)
Epoch: [40][10510/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.2439 (2.2145)	Prec@1 36.719 (44.338)	Prec@5 79.688 (74.941)
Epoch: [40][10520/14090]	Time 0.859 (0.767)	Data 0.001 (0.001)	Loss 2.2512 (2.2145)	Prec@1 41.406 (44.338)	Prec@5 69.531 (74.939)
Epoch: [40][10530/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 1.9054 (2.2144)	Prec@1 47.656 (44.341)	Prec@5 77.344 (74.940)
Epoch: [40][10540/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 2.1890 (2.2144)	Prec@1 47.656 (44.341)	Prec@5 77.344 (74.940)
Epoch: [40][10550/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 1.9990 (2.2144)	Prec@1 44.531 (44.341)	Prec@5 76.562 (74.940)
Epoch: [40][10560/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 2.3894 (2.2144)	Prec@1 41.406 (44.341)	Prec@5 72.656 (74.941)
Epoch: [40][10570/14090]	Time 0.725 (0.767)	Data 0.001 (0.001)	Loss 2.2514 (2.2144)	Prec@1 47.656 (44.341)	Prec@5 71.875 (74.941)
Epoch: [40][10580/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 2.3172 (2.2144)	Prec@1 39.844 (44.340)	Prec@5 75.781 (74.940)
Epoch: [40][10590/14090]	Time 0.873 (0.767)	Data 0.001 (0.001)	Loss 2.0076 (2.2144)	Prec@1 49.219 (44.342)	Prec@5 79.688 (74.940)
Epoch: [40][10600/14090]	Time 0.741 (0.767)	Data 0.002 (0.001)	Loss 1.9883 (2.2144)	Prec@1 50.781 (44.341)	Prec@5 77.344 (74.943)
Epoch: [40][10610/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 2.0808 (2.2144)	Prec@1 44.531 (44.340)	Prec@5 78.125 (74.942)
Epoch: [40][10620/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 2.1819 (2.2144)	Prec@1 48.438 (44.339)	Prec@5 71.094 (74.942)
Epoch: [40][10630/14090]	Time 0.766 (0.767)	Data 0.001 (0.001)	Loss 2.3753 (2.2145)	Prec@1 42.969 (44.338)	Prec@5 67.188 (74.941)
Epoch: [40][10640/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 2.1282 (2.2145)	Prec@1 40.625 (44.337)	Prec@5 77.344 (74.941)
Epoch: [40][10650/14090]	Time 0.774 (0.767)	Data 0.001 (0.001)	Loss 2.3098 (2.2145)	Prec@1 39.844 (44.335)	Prec@5 75.781 (74.940)
Epoch: [40][10660/14090]	Time 0.885 (0.767)	Data 0.001 (0.001)	Loss 2.1584 (2.2145)	Prec@1 46.875 (44.337)	Prec@5 76.562 (74.940)
Epoch: [40][10670/14090]	Time 0.779 (0.767)	Data 0.001 (0.001)	Loss 2.3788 (2.2145)	Prec@1 39.844 (44.335)	Prec@5 71.875 (74.941)
Epoch: [40][10680/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 2.3137 (2.2146)	Prec@1 40.625 (44.334)	Prec@5 76.562 (74.939)
Epoch: [40][10690/14090]	Time 0.724 (0.767)	Data 0.001 (0.001)	Loss 2.3701 (2.2146)	Prec@1 46.094 (44.335)	Prec@5 70.312 (74.940)
Epoch: [40][10700/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 2.2030 (2.2146)	Prec@1 43.750 (44.334)	Prec@5 79.688 (74.941)
Epoch: [40][10710/14090]	Time 0.765 (0.767)	Data 0.001 (0.001)	Loss 2.2886 (2.2147)	Prec@1 44.531 (44.332)	Prec@5 71.875 (74.939)
Epoch: [40][10720/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 2.3968 (2.2148)	Prec@1 42.969 (44.332)	Prec@5 71.094 (74.938)
Epoch: [40][10730/14090]	Time 0.875 (0.767)	Data 0.001 (0.001)	Loss 1.9173 (2.2147)	Prec@1 50.000 (44.333)	Prec@5 80.469 (74.940)
Epoch: [40][10740/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 2.1871 (2.2148)	Prec@1 46.875 (44.331)	Prec@5 76.562 (74.938)
Epoch: [40][10750/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.0459 (2.2148)	Prec@1 44.531 (44.330)	Prec@5 75.781 (74.937)
Epoch: [40][10760/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.0242 (2.2149)	Prec@1 50.781 (44.329)	Prec@5 78.125 (74.935)
Epoch: [40][10770/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 2.3334 (2.2150)	Prec@1 39.844 (44.329)	Prec@5 69.531 (74.935)
Epoch: [40][10780/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 2.3274 (2.2149)	Prec@1 35.938 (44.328)	Prec@5 76.562 (74.937)
Epoch: [40][10790/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 2.2239 (2.2149)	Prec@1 45.312 (44.330)	Prec@5 71.875 (74.937)
Epoch: [40][10800/14090]	Time 0.879 (0.767)	Data 0.001 (0.001)	Loss 2.3384 (2.2149)	Prec@1 42.969 (44.329)	Prec@5 69.531 (74.938)
Epoch: [40][10810/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 2.0163 (2.2149)	Prec@1 47.656 (44.330)	Prec@5 81.250 (74.938)
Epoch: [40][10820/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 2.3364 (2.2149)	Prec@1 46.094 (44.329)	Prec@5 72.656 (74.939)
Epoch: [40][10830/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 2.4027 (2.2149)	Prec@1 37.500 (44.328)	Prec@5 73.438 (74.939)
Epoch: [40][10840/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 2.1851 (2.2149)	Prec@1 42.969 (44.329)	Prec@5 82.031 (74.940)
Epoch: [40][10850/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 2.2702 (2.2148)	Prec@1 46.875 (44.328)	Prec@5 74.219 (74.941)
Epoch: [40][10860/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 2.3494 (2.2149)	Prec@1 38.281 (44.327)	Prec@5 74.219 (74.940)
Epoch: [40][10870/14090]	Time 0.873 (0.767)	Data 0.001 (0.001)	Loss 2.2868 (2.2149)	Prec@1 38.281 (44.326)	Prec@5 76.562 (74.942)
Epoch: [40][10880/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 1.9611 (2.2148)	Prec@1 46.094 (44.327)	Prec@5 84.375 (74.945)
Epoch: [40][10890/14090]	Time 0.725 (0.767)	Data 0.001 (0.001)	Loss 2.0284 (2.2147)	Prec@1 49.219 (44.328)	Prec@5 78.906 (74.945)
Epoch: [40][10900/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.3693 (2.2148)	Prec@1 39.062 (44.327)	Prec@5 73.438 (74.944)
Epoch: [40][10910/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 2.3555 (2.2148)	Prec@1 46.875 (44.329)	Prec@5 72.656 (74.945)
Epoch: [40][10920/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 2.0957 (2.2148)	Prec@1 44.531 (44.329)	Prec@5 82.031 (74.944)
Epoch: [40][10930/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.0857 (2.2148)	Prec@1 43.750 (44.329)	Prec@5 73.438 (74.942)
Epoch: [40][10940/14090]	Time 0.830 (0.767)	Data 0.001 (0.001)	Loss 2.1488 (2.2148)	Prec@1 44.531 (44.328)	Prec@5 77.344 (74.942)
Epoch: [40][10950/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 2.5628 (2.2149)	Prec@1 32.812 (44.328)	Prec@5 63.281 (74.942)
Epoch: [40][10960/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 2.3895 (2.2149)	Prec@1 42.188 (44.326)	Prec@5 68.750 (74.940)
Epoch: [40][10970/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 2.2952 (2.2149)	Prec@1 45.312 (44.326)	Prec@5 72.656 (74.941)
Epoch: [40][10980/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 2.2340 (2.2150)	Prec@1 41.406 (44.324)	Prec@5 75.000 (74.940)
Epoch: [40][10990/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 2.2938 (2.2150)	Prec@1 39.062 (44.323)	Prec@5 78.906 (74.941)
Epoch: [40][11000/14090]	Time 0.763 (0.767)	Data 0.001 (0.001)	Loss 2.4021 (2.2150)	Prec@1 39.062 (44.322)	Prec@5 70.312 (74.940)
Epoch: [40][11010/14090]	Time 0.899 (0.767)	Data 0.001 (0.001)	Loss 2.1128 (2.2150)	Prec@1 41.406 (44.321)	Prec@5 81.250 (74.942)
Epoch: [40][11020/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 2.2334 (2.2150)	Prec@1 44.531 (44.319)	Prec@5 75.000 (74.942)
Epoch: [40][11030/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 2.4614 (2.2150)	Prec@1 39.062 (44.319)	Prec@5 71.875 (74.943)
Epoch: [40][11040/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 2.0349 (2.2150)	Prec@1 49.219 (44.320)	Prec@5 73.438 (74.942)
Epoch: [40][11050/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 2.0498 (2.2149)	Prec@1 48.438 (44.322)	Prec@5 75.781 (74.944)
Epoch: [40][11060/14090]	Time 0.765 (0.767)	Data 0.001 (0.001)	Loss 2.4450 (2.2149)	Prec@1 36.719 (44.321)	Prec@5 70.312 (74.944)
Epoch: [40][11070/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 2.3020 (2.2150)	Prec@1 46.094 (44.319)	Prec@5 73.438 (74.943)
Epoch: [40][11080/14090]	Time 0.825 (0.767)	Data 0.001 (0.001)	Loss 2.0885 (2.2151)	Prec@1 45.312 (44.317)	Prec@5 78.906 (74.941)
Epoch: [40][11090/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.3708 (2.2151)	Prec@1 39.062 (44.316)	Prec@5 74.219 (74.942)
Epoch: [40][11100/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 2.1834 (2.2150)	Prec@1 45.312 (44.317)	Prec@5 71.875 (74.943)
Epoch: [40][11110/14090]	Time 0.719 (0.767)	Data 0.001 (0.001)	Loss 2.2225 (2.2150)	Prec@1 41.406 (44.317)	Prec@5 75.781 (74.942)
Epoch: [40][11120/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 2.4193 (2.2151)	Prec@1 35.156 (44.316)	Prec@5 69.531 (74.940)
Epoch: [40][11130/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 2.2432 (2.2151)	Prec@1 41.406 (44.315)	Prec@5 75.000 (74.940)
Epoch: [40][11140/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 2.2282 (2.2152)	Prec@1 37.500 (44.313)	Prec@5 73.438 (74.938)
Epoch: [40][11150/14090]	Time 0.865 (0.767)	Data 0.001 (0.001)	Loss 2.0735 (2.2151)	Prec@1 47.656 (44.316)	Prec@5 78.125 (74.939)
Epoch: [40][11160/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 2.3351 (2.2151)	Prec@1 50.781 (44.316)	Prec@5 73.438 (74.937)
Epoch: [40][11170/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.0031 (2.2152)	Prec@1 47.656 (44.317)	Prec@5 77.344 (74.936)
Epoch: [40][11180/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 2.5141 (2.2152)	Prec@1 42.969 (44.317)	Prec@5 73.438 (74.938)
Epoch: [40][11190/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 2.2997 (2.2152)	Prec@1 43.750 (44.318)	Prec@5 74.219 (74.937)
Epoch: [40][11200/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 2.3049 (2.2152)	Prec@1 42.969 (44.316)	Prec@5 74.219 (74.936)
Epoch: [40][11210/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 1.9007 (2.2152)	Prec@1 46.875 (44.315)	Prec@5 82.812 (74.937)
Epoch: [40][11220/14090]	Time 0.955 (0.767)	Data 0.001 (0.001)	Loss 2.2861 (2.2153)	Prec@1 42.969 (44.315)	Prec@5 71.094 (74.937)
Epoch: [40][11230/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 2.0247 (2.2152)	Prec@1 44.531 (44.316)	Prec@5 75.781 (74.937)
Epoch: [40][11240/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 2.1061 (2.2152)	Prec@1 44.531 (44.313)	Prec@5 77.344 (74.936)
Epoch: [40][11250/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 2.3165 (2.2152)	Prec@1 38.281 (44.314)	Prec@5 74.219 (74.937)
Epoch: [40][11260/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.1002 (2.2152)	Prec@1 46.094 (44.316)	Prec@5 78.125 (74.937)
Epoch: [40][11270/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 2.1253 (2.2151)	Prec@1 46.094 (44.319)	Prec@5 74.219 (74.938)
Epoch: [40][11280/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 2.1259 (2.2151)	Prec@1 50.781 (44.319)	Prec@5 73.438 (74.938)
Epoch: [40][11290/14090]	Time 0.929 (0.767)	Data 0.001 (0.001)	Loss 2.1251 (2.2152)	Prec@1 44.531 (44.317)	Prec@5 77.344 (74.936)
Epoch: [40][11300/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 2.1289 (2.2151)	Prec@1 46.875 (44.319)	Prec@5 73.438 (74.936)
Epoch: [40][11310/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.2164 (2.2151)	Prec@1 43.750 (44.319)	Prec@5 74.219 (74.938)
Epoch: [40][11320/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 2.1000 (2.2151)	Prec@1 42.969 (44.319)	Prec@5 80.469 (74.937)
Epoch: [40][11330/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 2.2166 (2.2152)	Prec@1 45.312 (44.318)	Prec@5 71.875 (74.935)
Epoch: [40][11340/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 2.1198 (2.2152)	Prec@1 46.094 (44.318)	Prec@5 75.781 (74.934)
Epoch: [40][11350/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 2.1026 (2.2153)	Prec@1 47.656 (44.317)	Prec@5 77.344 (74.935)
Epoch: [40][11360/14090]	Time 0.979 (0.767)	Data 0.001 (0.001)	Loss 2.2506 (2.2153)	Prec@1 42.188 (44.318)	Prec@5 75.000 (74.933)
Epoch: [40][11370/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 2.1160 (2.2153)	Prec@1 46.875 (44.316)	Prec@5 76.562 (74.933)
Epoch: [40][11380/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 2.3245 (2.2153)	Prec@1 41.406 (44.316)	Prec@5 71.094 (74.933)
Epoch: [40][11390/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 1.9772 (2.2153)	Prec@1 49.219 (44.316)	Prec@5 80.469 (74.933)
Epoch: [40][11400/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 2.0592 (2.2152)	Prec@1 46.875 (44.316)	Prec@5 77.344 (74.935)
Epoch: [40][11410/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 2.1246 (2.2152)	Prec@1 43.750 (44.318)	Prec@5 78.125 (74.935)
Epoch: [40][11420/14090]	Time 0.761 (0.767)	Data 0.002 (0.001)	Loss 2.1932 (2.2152)	Prec@1 40.625 (44.319)	Prec@5 78.906 (74.935)
Epoch: [40][11430/14090]	Time 0.874 (0.767)	Data 0.001 (0.001)	Loss 2.3512 (2.2151)	Prec@1 39.062 (44.319)	Prec@5 77.344 (74.936)
Epoch: [40][11440/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 2.3700 (2.2152)	Prec@1 45.312 (44.319)	Prec@5 73.438 (74.936)
Epoch: [40][11450/14090]	Time 0.763 (0.767)	Data 0.001 (0.001)	Loss 2.2637 (2.2152)	Prec@1 42.188 (44.318)	Prec@5 75.781 (74.936)
Epoch: [40][11460/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 2.0039 (2.2152)	Prec@1 45.312 (44.317)	Prec@5 78.125 (74.935)
Epoch: [40][11470/14090]	Time 0.765 (0.767)	Data 0.001 (0.001)	Loss 2.5127 (2.2152)	Prec@1 41.406 (44.316)	Prec@5 67.969 (74.936)
Epoch: [40][11480/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 2.4629 (2.2152)	Prec@1 35.938 (44.316)	Prec@5 72.656 (74.936)
Epoch: [40][11490/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 2.3955 (2.2152)	Prec@1 42.969 (44.317)	Prec@5 70.312 (74.936)
Epoch: [40][11500/14090]	Time 0.856 (0.767)	Data 0.001 (0.001)	Loss 1.7024 (2.2152)	Prec@1 53.125 (44.318)	Prec@5 85.938 (74.937)
Epoch: [40][11510/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 2.4865 (2.2151)	Prec@1 39.062 (44.318)	Prec@5 67.969 (74.936)
Epoch: [40][11520/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 2.2131 (2.2152)	Prec@1 45.312 (44.319)	Prec@5 73.438 (74.936)
Epoch: [40][11530/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 2.3496 (2.2152)	Prec@1 45.312 (44.317)	Prec@5 71.094 (74.935)
Epoch: [40][11540/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 2.3179 (2.2152)	Prec@1 42.188 (44.317)	Prec@5 71.875 (74.935)
Epoch: [40][11550/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 2.1284 (2.2153)	Prec@1 49.219 (44.315)	Prec@5 76.562 (74.934)
Epoch: [40][11560/14090]	Time 0.763 (0.767)	Data 0.001 (0.001)	Loss 2.2523 (2.2153)	Prec@1 44.531 (44.316)	Prec@5 72.656 (74.934)
Epoch: [40][11570/14090]	Time 0.825 (0.767)	Data 0.001 (0.001)	Loss 2.2657 (2.2152)	Prec@1 44.531 (44.318)	Prec@5 74.219 (74.934)
Epoch: [40][11580/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 1.9703 (2.2152)	Prec@1 50.000 (44.317)	Prec@5 76.562 (74.933)
Epoch: [40][11590/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 2.2902 (2.2153)	Prec@1 40.625 (44.317)	Prec@5 71.875 (74.931)
Epoch: [40][11600/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 2.6464 (2.2153)	Prec@1 38.281 (44.317)	Prec@5 70.312 (74.931)
Epoch: [40][11610/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.5303 (2.2153)	Prec@1 42.188 (44.316)	Prec@5 71.875 (74.931)
Epoch: [40][11620/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 2.1766 (2.2153)	Prec@1 43.750 (44.315)	Prec@5 71.875 (74.932)
Epoch: [40][11630/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 2.0477 (2.2154)	Prec@1 43.750 (44.313)	Prec@5 77.344 (74.930)
Epoch: [40][11640/14090]	Time 0.991 (0.767)	Data 0.001 (0.001)	Loss 2.1507 (2.2153)	Prec@1 48.438 (44.315)	Prec@5 74.219 (74.932)
Epoch: [40][11650/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 2.0646 (2.2153)	Prec@1 40.625 (44.316)	Prec@5 76.562 (74.931)
Epoch: [40][11660/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 1.9181 (2.2153)	Prec@1 44.531 (44.315)	Prec@5 81.250 (74.930)
Epoch: [40][11670/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 2.2846 (2.2153)	Prec@1 39.062 (44.314)	Prec@5 76.562 (74.931)
Epoch: [40][11680/14090]	Time 0.722 (0.767)	Data 0.001 (0.001)	Loss 2.2892 (2.2153)	Prec@1 41.406 (44.314)	Prec@5 73.438 (74.932)
Epoch: [40][11690/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 2.3331 (2.2154)	Prec@1 42.188 (44.312)	Prec@5 71.875 (74.930)
Epoch: [40][11700/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 2.2226 (2.2154)	Prec@1 46.875 (44.311)	Prec@5 67.969 (74.928)
Epoch: [40][11710/14090]	Time 0.871 (0.767)	Data 0.001 (0.001)	Loss 2.3910 (2.2155)	Prec@1 42.969 (44.311)	Prec@5 67.969 (74.927)
Epoch: [40][11720/14090]	Time 0.727 (0.767)	Data 0.001 (0.001)	Loss 2.1053 (2.2154)	Prec@1 46.094 (44.311)	Prec@5 76.562 (74.928)
Epoch: [40][11730/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 2.1789 (2.2154)	Prec@1 38.281 (44.310)	Prec@5 75.781 (74.928)
Epoch: [40][11740/14090]	Time 0.721 (0.767)	Data 0.001 (0.001)	Loss 2.2744 (2.2155)	Prec@1 41.406 (44.309)	Prec@5 72.656 (74.927)
Epoch: [40][11750/14090]	Time 0.765 (0.767)	Data 0.002 (0.001)	Loss 2.4675 (2.2156)	Prec@1 32.812 (44.308)	Prec@5 71.094 (74.925)
Epoch: [40][11760/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 2.0976 (2.2155)	Prec@1 48.438 (44.308)	Prec@5 79.688 (74.927)
Epoch: [40][11770/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 2.1088 (2.2155)	Prec@1 51.562 (44.309)	Prec@5 76.562 (74.927)
Epoch: [40][11780/14090]	Time 0.852 (0.767)	Data 0.001 (0.001)	Loss 2.3380 (2.2155)	Prec@1 41.406 (44.310)	Prec@5 72.656 (74.927)
Epoch: [40][11790/14090]	Time 0.724 (0.767)	Data 0.001 (0.001)	Loss 2.2355 (2.2155)	Prec@1 40.625 (44.311)	Prec@5 77.344 (74.927)
Epoch: [40][11800/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.1474 (2.2155)	Prec@1 50.000 (44.312)	Prec@5 73.438 (74.926)
Epoch: [40][11810/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 2.0775 (2.2155)	Prec@1 42.188 (44.311)	Prec@5 78.125 (74.926)
Epoch: [40][11820/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 2.2298 (2.2155)	Prec@1 45.312 (44.310)	Prec@5 74.219 (74.926)
Epoch: [40][11830/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 2.1312 (2.2154)	Prec@1 46.094 (44.311)	Prec@5 78.906 (74.927)
Epoch: [40][11840/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 2.1088 (2.2154)	Prec@1 46.094 (44.311)	Prec@5 76.562 (74.926)
Epoch: [40][11850/14090]	Time 0.868 (0.767)	Data 0.001 (0.001)	Loss 1.9339 (2.2154)	Prec@1 48.438 (44.311)	Prec@5 85.156 (74.928)
Epoch: [40][11860/14090]	Time 0.742 (0.767)	Data 0.002 (0.001)	Loss 2.3653 (2.2154)	Prec@1 41.406 (44.310)	Prec@5 71.875 (74.928)
Epoch: [40][11870/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 2.1388 (2.2154)	Prec@1 48.438 (44.312)	Prec@5 78.906 (74.929)
Epoch: [40][11880/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 2.2055 (2.2155)	Prec@1 41.406 (44.312)	Prec@5 75.781 (74.929)
Epoch: [40][11890/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 2.0015 (2.2154)	Prec@1 48.438 (44.311)	Prec@5 80.469 (74.930)
Epoch: [40][11900/14090]	Time 0.765 (0.767)	Data 0.001 (0.001)	Loss 2.2739 (2.2154)	Prec@1 39.062 (44.311)	Prec@5 75.000 (74.930)
Epoch: [40][11910/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.1092 (2.2154)	Prec@1 46.094 (44.311)	Prec@5 78.125 (74.930)
Epoch: [40][11920/14090]	Time 0.999 (0.767)	Data 0.001 (0.001)	Loss 2.4950 (2.2154)	Prec@1 40.625 (44.311)	Prec@5 67.188 (74.930)
Epoch: [40][11930/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 2.0553 (2.2153)	Prec@1 45.312 (44.312)	Prec@5 79.688 (74.930)
Epoch: [40][11940/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 2.1784 (2.2153)	Prec@1 46.875 (44.314)	Prec@5 73.438 (74.930)
Epoch: [40][11950/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.2788 (2.2153)	Prec@1 44.531 (44.314)	Prec@5 71.875 (74.931)
Epoch: [40][11960/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 2.1720 (2.2153)	Prec@1 43.750 (44.312)	Prec@5 74.219 (74.930)
Epoch: [40][11970/14090]	Time 0.767 (0.767)	Data 0.001 (0.001)	Loss 1.9112 (2.2154)	Prec@1 56.250 (44.311)	Prec@5 78.906 (74.929)
Epoch: [40][11980/14090]	Time 0.773 (0.767)	Data 0.001 (0.001)	Loss 2.2266 (2.2154)	Prec@1 44.531 (44.313)	Prec@5 71.875 (74.929)
Epoch: [40][11990/14090]	Time 0.882 (0.767)	Data 0.001 (0.001)	Loss 2.2856 (2.2155)	Prec@1 46.875 (44.313)	Prec@5 78.125 (74.928)
Epoch: [40][12000/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 2.5598 (2.2156)	Prec@1 42.188 (44.312)	Prec@5 62.500 (74.926)
Epoch: [40][12010/14090]	Time 0.769 (0.767)	Data 0.001 (0.001)	Loss 2.3156 (2.2157)	Prec@1 42.188 (44.309)	Prec@5 67.188 (74.924)
Epoch: [40][12020/14090]	Time 0.769 (0.767)	Data 0.001 (0.001)	Loss 2.4088 (2.2157)	Prec@1 39.844 (44.310)	Prec@5 75.000 (74.925)
Epoch: [40][12030/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 2.1305 (2.2157)	Prec@1 45.312 (44.309)	Prec@5 72.656 (74.924)
Epoch: [40][12040/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 2.5004 (2.2158)	Prec@1 35.156 (44.307)	Prec@5 66.406 (74.923)
Epoch: [40][12050/14090]	Time 0.771 (0.767)	Data 0.002 (0.001)	Loss 1.9365 (2.2158)	Prec@1 50.000 (44.308)	Prec@5 80.469 (74.923)
Epoch: [40][12060/14090]	Time 0.833 (0.767)	Data 0.001 (0.001)	Loss 1.9672 (2.2158)	Prec@1 48.438 (44.308)	Prec@5 79.688 (74.923)
Epoch: [40][12070/14090]	Time 0.773 (0.767)	Data 0.001 (0.001)	Loss 2.1495 (2.2157)	Prec@1 42.969 (44.308)	Prec@5 74.219 (74.923)
Epoch: [40][12080/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.1995 (2.2157)	Prec@1 44.531 (44.309)	Prec@5 72.656 (74.924)
Epoch: [40][12090/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 2.1223 (2.2157)	Prec@1 42.188 (44.309)	Prec@5 75.781 (74.924)
Epoch: [40][12100/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 2.1813 (2.2157)	Prec@1 49.219 (44.309)	Prec@5 75.000 (74.924)
Epoch: [40][12110/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 2.2877 (2.2157)	Prec@1 46.875 (44.308)	Prec@5 75.781 (74.923)
Epoch: [40][12120/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.1863 (2.2157)	Prec@1 50.000 (44.309)	Prec@5 75.000 (74.923)
Epoch: [40][12130/14090]	Time 0.927 (0.767)	Data 0.001 (0.001)	Loss 2.2972 (2.2158)	Prec@1 42.969 (44.308)	Prec@5 74.219 (74.922)
Epoch: [40][12140/14090]	Time 0.727 (0.767)	Data 0.001 (0.001)	Loss 2.3430 (2.2158)	Prec@1 39.844 (44.307)	Prec@5 74.219 (74.921)
Epoch: [40][12150/14090]	Time 0.721 (0.767)	Data 0.001 (0.001)	Loss 1.9778 (2.2158)	Prec@1 50.000 (44.308)	Prec@5 79.688 (74.922)
Epoch: [40][12160/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 2.3638 (2.2158)	Prec@1 50.000 (44.308)	Prec@5 70.312 (74.921)
Epoch: [40][12170/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 2.3385 (2.2158)	Prec@1 38.281 (44.308)	Prec@5 74.219 (74.921)
Epoch: [40][12180/14090]	Time 0.725 (0.767)	Data 0.001 (0.001)	Loss 2.2866 (2.2159)	Prec@1 40.625 (44.307)	Prec@5 72.656 (74.919)
Epoch: [40][12190/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.5064 (2.2159)	Prec@1 41.406 (44.306)	Prec@5 67.188 (74.919)
Epoch: [40][12200/14090]	Time 0.869 (0.767)	Data 0.001 (0.001)	Loss 2.1589 (2.2159)	Prec@1 44.531 (44.305)	Prec@5 70.312 (74.918)
Epoch: [40][12210/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.4116 (2.2159)	Prec@1 42.969 (44.306)	Prec@5 67.188 (74.918)
Epoch: [40][12220/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 2.2753 (2.2159)	Prec@1 46.875 (44.306)	Prec@5 78.125 (74.919)
Epoch: [40][12230/14090]	Time 0.774 (0.767)	Data 0.001 (0.001)	Loss 1.9446 (2.2159)	Prec@1 46.094 (44.305)	Prec@5 78.906 (74.919)
Epoch: [40][12240/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 2.2437 (2.2158)	Prec@1 39.062 (44.305)	Prec@5 71.875 (74.920)
Epoch: [40][12250/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 2.6134 (2.2159)	Prec@1 36.719 (44.304)	Prec@5 65.625 (74.917)
Epoch: [40][12260/14090]	Time 0.724 (0.767)	Data 0.001 (0.001)	Loss 2.4673 (2.2159)	Prec@1 36.719 (44.304)	Prec@5 72.656 (74.918)
Epoch: [40][12270/14090]	Time 0.846 (0.767)	Data 0.001 (0.001)	Loss 2.4253 (2.2160)	Prec@1 41.406 (44.304)	Prec@5 68.750 (74.917)
Epoch: [40][12280/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 2.3111 (2.2160)	Prec@1 41.406 (44.303)	Prec@5 78.125 (74.917)
Epoch: [40][12290/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 2.3455 (2.2159)	Prec@1 42.969 (44.304)	Prec@5 75.000 (74.917)
Epoch: [40][12300/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.1790 (2.2160)	Prec@1 45.312 (44.303)	Prec@5 73.438 (74.916)
Epoch: [40][12310/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 2.2029 (2.2160)	Prec@1 46.875 (44.305)	Prec@5 72.656 (74.915)
Epoch: [40][12320/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 2.4439 (2.2160)	Prec@1 39.062 (44.304)	Prec@5 71.875 (74.914)
Epoch: [40][12330/14090]	Time 0.769 (0.767)	Data 0.001 (0.001)	Loss 2.0818 (2.2160)	Prec@1 41.406 (44.302)	Prec@5 77.344 (74.913)
Epoch: [40][12340/14090]	Time 0.887 (0.767)	Data 0.001 (0.001)	Loss 2.2360 (2.2161)	Prec@1 46.094 (44.301)	Prec@5 77.344 (74.912)
Epoch: [40][12350/14090]	Time 0.785 (0.767)	Data 0.001 (0.001)	Loss 2.4493 (2.2161)	Prec@1 41.406 (44.301)	Prec@5 71.875 (74.911)
Epoch: [40][12360/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 2.2990 (2.2162)	Prec@1 45.312 (44.301)	Prec@5 72.656 (74.909)
Epoch: [40][12370/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 2.4195 (2.2162)	Prec@1 42.188 (44.301)	Prec@5 73.438 (74.909)
Epoch: [40][12380/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 2.1211 (2.2162)	Prec@1 44.531 (44.300)	Prec@5 75.000 (74.909)
Epoch: [40][12390/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 2.2168 (2.2161)	Prec@1 45.312 (44.302)	Prec@5 71.094 (74.909)
Epoch: [40][12400/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 2.1691 (2.2162)	Prec@1 43.750 (44.302)	Prec@5 75.781 (74.907)
Epoch: [40][12410/14090]	Time 0.852 (0.767)	Data 0.001 (0.001)	Loss 2.2513 (2.2162)	Prec@1 39.844 (44.302)	Prec@5 76.562 (74.908)
Epoch: [40][12420/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.4271 (2.2162)	Prec@1 37.500 (44.301)	Prec@5 73.438 (74.908)
Epoch: [40][12430/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.0727 (2.2161)	Prec@1 46.875 (44.305)	Prec@5 80.469 (74.910)
Epoch: [40][12440/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 1.7869 (2.2161)	Prec@1 51.562 (44.305)	Prec@5 83.594 (74.912)
Epoch: [40][12450/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 2.2287 (2.2161)	Prec@1 46.094 (44.306)	Prec@5 73.438 (74.910)
Epoch: [40][12460/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 2.3590 (2.2162)	Prec@1 42.969 (44.305)	Prec@5 75.000 (74.910)
Epoch: [40][12470/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.1999 (2.2161)	Prec@1 46.094 (44.308)	Prec@5 74.219 (74.911)
Epoch: [40][12480/14090]	Time 0.868 (0.767)	Data 0.001 (0.001)	Loss 2.4012 (2.2161)	Prec@1 42.188 (44.308)	Prec@5 71.875 (74.912)
Epoch: [40][12490/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 2.1851 (2.2161)	Prec@1 46.875 (44.308)	Prec@5 75.000 (74.913)
Epoch: [40][12500/14090]	Time 0.772 (0.767)	Data 0.001 (0.001)	Loss 2.0761 (2.2160)	Prec@1 46.875 (44.309)	Prec@5 78.125 (74.914)
Epoch: [40][12510/14090]	Time 0.727 (0.767)	Data 0.001 (0.001)	Loss 2.7426 (2.2160)	Prec@1 37.500 (44.309)	Prec@5 63.281 (74.914)
Epoch: [40][12520/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 2.3879 (2.2161)	Prec@1 44.531 (44.308)	Prec@5 75.781 (74.914)
Epoch: [40][12530/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 2.2033 (2.2161)	Prec@1 42.969 (44.307)	Prec@5 74.219 (74.914)
Epoch: [40][12540/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 2.2515 (2.2161)	Prec@1 41.406 (44.308)	Prec@5 73.438 (74.914)
Epoch: [40][12550/14090]	Time 0.874 (0.767)	Data 0.001 (0.001)	Loss 2.5818 (2.2161)	Prec@1 35.938 (44.307)	Prec@5 69.531 (74.913)
Epoch: [40][12560/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 1.8446 (2.2161)	Prec@1 48.438 (44.306)	Prec@5 82.031 (74.914)
Epoch: [40][12570/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 1.9424 (2.2161)	Prec@1 52.344 (44.306)	Prec@5 81.250 (74.913)
Epoch: [40][12580/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 2.2624 (2.2162)	Prec@1 40.625 (44.304)	Prec@5 75.781 (74.912)
Epoch: [40][12590/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 2.5044 (2.2163)	Prec@1 33.594 (44.302)	Prec@5 71.094 (74.910)
Epoch: [40][12600/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 2.3183 (2.2163)	Prec@1 40.625 (44.303)	Prec@5 73.438 (74.910)
Epoch: [40][12610/14090]	Time 0.727 (0.767)	Data 0.001 (0.001)	Loss 2.3063 (2.2163)	Prec@1 46.094 (44.302)	Prec@5 71.094 (74.910)
Epoch: [40][12620/14090]	Time 0.880 (0.767)	Data 0.001 (0.001)	Loss 1.9707 (2.2163)	Prec@1 50.000 (44.302)	Prec@5 81.250 (74.911)
Epoch: [40][12630/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 2.1501 (2.2163)	Prec@1 48.438 (44.302)	Prec@5 73.438 (74.910)
Epoch: [40][12640/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 2.2335 (2.2162)	Prec@1 45.312 (44.303)	Prec@5 72.656 (74.910)
Epoch: [40][12650/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.5881 (2.2162)	Prec@1 35.938 (44.303)	Prec@5 67.188 (74.910)
Epoch: [40][12660/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 2.2124 (2.2162)	Prec@1 45.312 (44.305)	Prec@5 73.438 (74.910)
Epoch: [40][12670/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 2.0408 (2.2162)	Prec@1 46.094 (44.305)	Prec@5 78.906 (74.910)
Epoch: [40][12680/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 2.0756 (2.2162)	Prec@1 45.312 (44.305)	Prec@5 77.344 (74.910)
Epoch: [40][12690/14090]	Time 0.848 (0.767)	Data 0.001 (0.001)	Loss 2.1760 (2.2161)	Prec@1 44.531 (44.305)	Prec@5 72.656 (74.911)
Epoch: [40][12700/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.3814 (2.2162)	Prec@1 38.281 (44.305)	Prec@5 70.312 (74.911)
Epoch: [40][12710/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 2.2741 (2.2163)	Prec@1 47.656 (44.304)	Prec@5 76.562 (74.910)
Epoch: [40][12720/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 2.2505 (2.2163)	Prec@1 44.531 (44.301)	Prec@5 72.656 (74.909)
Epoch: [40][12730/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 2.0167 (2.2163)	Prec@1 46.875 (44.299)	Prec@5 79.688 (74.908)
Epoch: [40][12740/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 2.1666 (2.2164)	Prec@1 42.188 (44.299)	Prec@5 75.000 (74.907)
Epoch: [40][12750/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 2.1685 (2.2164)	Prec@1 47.656 (44.299)	Prec@5 72.656 (74.907)
Epoch: [40][12760/14090]	Time 0.958 (0.767)	Data 0.001 (0.001)	Loss 2.4738 (2.2164)	Prec@1 37.500 (44.299)	Prec@5 73.438 (74.906)
Epoch: [40][12770/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 2.2817 (2.2164)	Prec@1 44.531 (44.298)	Prec@5 72.656 (74.907)
Epoch: [40][12780/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 2.1255 (2.2164)	Prec@1 47.656 (44.299)	Prec@5 81.250 (74.907)
Epoch: [40][12790/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 2.1217 (2.2164)	Prec@1 43.750 (44.298)	Prec@5 73.438 (74.907)
Epoch: [40][12800/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 2.0572 (2.2164)	Prec@1 42.188 (44.298)	Prec@5 78.125 (74.907)
Epoch: [40][12810/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.2076 (2.2165)	Prec@1 44.531 (44.296)	Prec@5 78.125 (74.906)
Epoch: [40][12820/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.1726 (2.2165)	Prec@1 39.844 (44.295)	Prec@5 75.781 (74.905)
Epoch: [40][12830/14090]	Time 0.884 (0.767)	Data 0.001 (0.001)	Loss 2.4858 (2.2166)	Prec@1 38.281 (44.293)	Prec@5 70.312 (74.904)
Epoch: [40][12840/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 2.1787 (2.2166)	Prec@1 39.062 (44.293)	Prec@5 78.906 (74.904)
Epoch: [40][12850/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 2.2940 (2.2167)	Prec@1 38.281 (44.291)	Prec@5 75.000 (74.904)
Epoch: [40][12860/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 2.3032 (2.2166)	Prec@1 43.750 (44.293)	Prec@5 72.656 (74.905)
Epoch: [40][12870/14090]	Time 0.780 (0.767)	Data 0.001 (0.001)	Loss 2.1421 (2.2166)	Prec@1 47.656 (44.291)	Prec@5 78.906 (74.905)
Epoch: [40][12880/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 2.2141 (2.2166)	Prec@1 46.094 (44.290)	Prec@5 75.781 (74.905)
Epoch: [40][12890/14090]	Time 0.766 (0.767)	Data 0.001 (0.001)	Loss 2.3309 (2.2167)	Prec@1 43.750 (44.291)	Prec@5 75.000 (74.905)
Epoch: [40][12900/14090]	Time 0.860 (0.767)	Data 0.001 (0.001)	Loss 2.2543 (2.2168)	Prec@1 46.094 (44.290)	Prec@5 72.656 (74.904)
Epoch: [40][12910/14090]	Time 0.723 (0.767)	Data 0.001 (0.001)	Loss 2.1833 (2.2167)	Prec@1 50.781 (44.290)	Prec@5 73.438 (74.904)
Epoch: [40][12920/14090]	Time 0.725 (0.767)	Data 0.001 (0.001)	Loss 2.3346 (2.2167)	Prec@1 43.750 (44.289)	Prec@5 67.969 (74.904)
Epoch: [40][12930/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 2.1708 (2.2167)	Prec@1 42.188 (44.288)	Prec@5 75.000 (74.904)
Epoch: [40][12940/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 2.1218 (2.2167)	Prec@1 47.656 (44.288)	Prec@5 79.688 (74.905)
Epoch: [40][12950/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 2.1885 (2.2167)	Prec@1 50.781 (44.289)	Prec@5 74.219 (74.905)
Epoch: [40][12960/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 2.3398 (2.2166)	Prec@1 38.281 (44.289)	Prec@5 77.344 (74.906)
Epoch: [40][12970/14090]	Time 0.886 (0.767)	Data 0.001 (0.001)	Loss 2.3216 (2.2167)	Prec@1 46.875 (44.287)	Prec@5 73.438 (74.906)
Epoch: [40][12980/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 1.9777 (2.2167)	Prec@1 48.438 (44.287)	Prec@5 81.250 (74.905)
Epoch: [40][12990/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 1.9767 (2.2167)	Prec@1 46.094 (44.289)	Prec@5 76.562 (74.905)
Epoch: [40][13000/14090]	Time 0.772 (0.767)	Data 0.001 (0.001)	Loss 2.4650 (2.2168)	Prec@1 40.625 (44.288)	Prec@5 66.406 (74.903)
Epoch: [40][13010/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 2.3082 (2.2168)	Prec@1 44.531 (44.287)	Prec@5 71.875 (74.902)
Epoch: [40][13020/14090]	Time 0.764 (0.767)	Data 0.001 (0.001)	Loss 2.3629 (2.2168)	Prec@1 39.844 (44.288)	Prec@5 74.219 (74.902)
Epoch: [40][13030/14090]	Time 0.768 (0.767)	Data 0.001 (0.001)	Loss 1.9560 (2.2167)	Prec@1 45.312 (44.290)	Prec@5 78.906 (74.904)
Epoch: [40][13040/14090]	Time 0.873 (0.767)	Data 0.001 (0.001)	Loss 2.1656 (2.2167)	Prec@1 51.562 (44.289)	Prec@5 78.906 (74.903)
Epoch: [40][13050/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.0074 (2.2167)	Prec@1 50.781 (44.289)	Prec@5 76.562 (74.903)
Epoch: [40][13060/14090]	Time 0.754 (0.767)	Data 0.002 (0.001)	Loss 2.1168 (2.2166)	Prec@1 39.844 (44.291)	Prec@5 78.125 (74.905)
Epoch: [40][13070/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 2.1278 (2.2166)	Prec@1 45.312 (44.290)	Prec@5 79.688 (74.905)
Epoch: [40][13080/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 2.4356 (2.2166)	Prec@1 41.406 (44.289)	Prec@5 72.656 (74.905)
Epoch: [40][13090/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 2.4410 (2.2166)	Prec@1 35.156 (44.289)	Prec@5 72.656 (74.906)
Epoch: [40][13100/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 2.5068 (2.2166)	Prec@1 32.031 (44.290)	Prec@5 71.094 (74.905)
Epoch: [40][13110/14090]	Time 0.866 (0.767)	Data 0.001 (0.001)	Loss 2.2499 (2.2167)	Prec@1 41.406 (44.289)	Prec@5 75.781 (74.905)
Epoch: [40][13120/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 2.2257 (2.2167)	Prec@1 41.406 (44.288)	Prec@5 78.125 (74.905)
Epoch: [40][13130/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 2.2971 (2.2167)	Prec@1 37.500 (44.287)	Prec@5 82.031 (74.906)
Epoch: [40][13140/14090]	Time 0.722 (0.767)	Data 0.002 (0.001)	Loss 2.2554 (2.2167)	Prec@1 42.969 (44.288)	Prec@5 78.125 (74.907)
Epoch: [40][13150/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 2.6347 (2.2167)	Prec@1 39.062 (44.287)	Prec@5 71.094 (74.908)
Epoch: [40][13160/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 2.0865 (2.2167)	Prec@1 47.656 (44.287)	Prec@5 75.781 (74.908)
Epoch: [40][13170/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 2.1138 (2.2167)	Prec@1 46.094 (44.286)	Prec@5 82.031 (74.908)
Epoch: [40][13180/14090]	Time 0.860 (0.767)	Data 0.001 (0.001)	Loss 2.4338 (2.2167)	Prec@1 37.500 (44.286)	Prec@5 69.531 (74.908)
Epoch: [40][13190/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 2.4716 (2.2167)	Prec@1 40.625 (44.285)	Prec@5 70.312 (74.908)
Epoch: [40][13200/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 1.9982 (2.2167)	Prec@1 47.656 (44.284)	Prec@5 75.000 (74.906)
Epoch: [40][13210/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 2.0927 (2.2167)	Prec@1 46.875 (44.283)	Prec@5 83.594 (74.906)
Epoch: [40][13220/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 2.3972 (2.2168)	Prec@1 44.531 (44.284)	Prec@5 74.219 (74.906)
Epoch: [40][13230/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 2.1272 (2.2168)	Prec@1 49.219 (44.284)	Prec@5 77.344 (74.906)
Epoch: [40][13240/14090]	Time 0.764 (0.767)	Data 0.001 (0.001)	Loss 2.3195 (2.2167)	Prec@1 39.844 (44.285)	Prec@5 74.219 (74.906)
Epoch: [40][13250/14090]	Time 0.869 (0.767)	Data 0.001 (0.001)	Loss 2.2544 (2.2167)	Prec@1 44.531 (44.286)	Prec@5 77.344 (74.907)
Epoch: [40][13260/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 2.3049 (2.2167)	Prec@1 44.531 (44.285)	Prec@5 72.656 (74.906)
Epoch: [40][13270/14090]	Time 0.721 (0.767)	Data 0.001 (0.001)	Loss 2.1154 (2.2167)	Prec@1 46.094 (44.285)	Prec@5 78.125 (74.906)
Epoch: [40][13280/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 2.5227 (2.2167)	Prec@1 30.469 (44.285)	Prec@5 67.969 (74.906)
Epoch: [40][13290/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 2.4768 (2.2167)	Prec@1 39.844 (44.284)	Prec@5 71.875 (74.907)
Epoch: [40][13300/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.0634 (2.2167)	Prec@1 47.656 (44.283)	Prec@5 77.344 (74.907)
Epoch: [40][13310/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 2.4888 (2.2167)	Prec@1 40.625 (44.284)	Prec@5 67.188 (74.907)
Epoch: [40][13320/14090]	Time 1.042 (0.767)	Data 0.001 (0.001)	Loss 2.1897 (2.2167)	Prec@1 45.312 (44.285)	Prec@5 76.562 (74.907)
Epoch: [40][13330/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 2.2869 (2.2167)	Prec@1 44.531 (44.285)	Prec@5 74.219 (74.908)
Epoch: [40][13340/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 2.2249 (2.2167)	Prec@1 42.188 (44.285)	Prec@5 77.344 (74.908)
Epoch: [40][13350/14090]	Time 0.765 (0.767)	Data 0.001 (0.001)	Loss 2.2332 (2.2166)	Prec@1 42.188 (44.287)	Prec@5 73.438 (74.909)
Epoch: [40][13360/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 2.3829 (2.2167)	Prec@1 46.094 (44.287)	Prec@5 68.750 (74.908)
Epoch: [40][13370/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 2.4009 (2.2167)	Prec@1 41.406 (44.288)	Prec@5 71.094 (74.907)
Epoch: [40][13380/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 2.3957 (2.2168)	Prec@1 42.969 (44.287)	Prec@5 75.000 (74.905)
Epoch: [40][13390/14090]	Time 0.839 (0.767)	Data 0.001 (0.001)	Loss 1.9115 (2.2168)	Prec@1 50.000 (44.287)	Prec@5 81.250 (74.903)
Epoch: [40][13400/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 2.2385 (2.2168)	Prec@1 45.312 (44.288)	Prec@5 71.094 (74.903)
Epoch: [40][13410/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 2.1644 (2.2168)	Prec@1 46.094 (44.289)	Prec@5 74.219 (74.902)
Epoch: [40][13420/14090]	Time 0.726 (0.767)	Data 0.001 (0.001)	Loss 2.3857 (2.2169)	Prec@1 39.844 (44.287)	Prec@5 71.875 (74.901)
Epoch: [40][13430/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 2.3271 (2.2169)	Prec@1 33.594 (44.286)	Prec@5 74.219 (74.902)
Epoch: [40][13440/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 2.0801 (2.2169)	Prec@1 44.531 (44.285)	Prec@5 80.469 (74.901)
Epoch: [40][13450/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 2.0838 (2.2169)	Prec@1 38.281 (44.282)	Prec@5 75.781 (74.902)
Epoch: [40][13460/14090]	Time 0.898 (0.767)	Data 0.001 (0.001)	Loss 2.1996 (2.2169)	Prec@1 43.750 (44.283)	Prec@5 75.000 (74.902)
Epoch: [40][13470/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 2.1208 (2.2170)	Prec@1 39.844 (44.282)	Prec@5 76.562 (74.902)
Epoch: [40][13480/14090]	Time 0.778 (0.767)	Data 0.001 (0.001)	Loss 2.6653 (2.2170)	Prec@1 39.844 (44.281)	Prec@5 62.500 (74.901)
Epoch: [40][13490/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.3335 (2.2171)	Prec@1 47.656 (44.281)	Prec@5 72.656 (74.900)
Epoch: [40][13500/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 2.3550 (2.2171)	Prec@1 42.188 (44.281)	Prec@5 76.562 (74.899)
Epoch: [40][13510/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 2.0024 (2.2171)	Prec@1 48.438 (44.280)	Prec@5 78.906 (74.900)
Epoch: [40][13520/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 2.4840 (2.2171)	Prec@1 37.500 (44.280)	Prec@5 67.969 (74.900)
Epoch: [40][13530/14090]	Time 0.875 (0.767)	Data 0.001 (0.001)	Loss 2.1312 (2.2171)	Prec@1 49.219 (44.279)	Prec@5 78.125 (74.900)
Epoch: [40][13540/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 2.1540 (2.2171)	Prec@1 49.219 (44.278)	Prec@5 78.906 (74.900)
Epoch: [40][13550/14090]	Time 0.763 (0.767)	Data 0.001 (0.001)	Loss 2.2125 (2.2172)	Prec@1 44.531 (44.277)	Prec@5 68.750 (74.899)
Epoch: [40][13560/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 2.1712 (2.2172)	Prec@1 49.219 (44.278)	Prec@5 75.000 (74.900)
Epoch: [40][13570/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 2.2985 (2.2172)	Prec@1 44.531 (44.278)	Prec@5 70.312 (74.899)
Epoch: [40][13580/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 2.1418 (2.2172)	Prec@1 44.531 (44.278)	Prec@5 74.219 (74.898)
Epoch: [40][13590/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 2.0878 (2.2173)	Prec@1 49.219 (44.277)	Prec@5 78.906 (74.898)
Epoch: [40][13600/14090]	Time 0.841 (0.767)	Data 0.003 (0.001)	Loss 2.2782 (2.2173)	Prec@1 42.188 (44.277)	Prec@5 72.656 (74.897)
Epoch: [40][13610/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 2.2278 (2.2173)	Prec@1 53.125 (44.277)	Prec@5 74.219 (74.897)
Epoch: [40][13620/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 2.0691 (2.2173)	Prec@1 46.094 (44.278)	Prec@5 75.000 (74.897)
Epoch: [40][13630/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 2.5259 (2.2173)	Prec@1 34.375 (44.278)	Prec@5 67.188 (74.896)
Epoch: [40][13640/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 2.4017 (2.2173)	Prec@1 42.188 (44.279)	Prec@5 73.438 (74.896)
Epoch: [40][13650/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 2.2451 (2.2172)	Prec@1 45.312 (44.281)	Prec@5 67.188 (74.896)
Epoch: [40][13660/14090]	Time 0.766 (0.767)	Data 0.001 (0.001)	Loss 2.2261 (2.2172)	Prec@1 42.188 (44.281)	Prec@5 71.875 (74.897)
Epoch: [40][13670/14090]	Time 0.825 (0.767)	Data 0.001 (0.001)	Loss 1.9931 (2.2172)	Prec@1 50.000 (44.281)	Prec@5 82.031 (74.897)
Epoch: [40][13680/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.4701 (2.2173)	Prec@1 37.500 (44.279)	Prec@5 74.219 (74.897)
Epoch: [40][13690/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 2.0471 (2.2172)	Prec@1 49.219 (44.280)	Prec@5 78.906 (74.898)
Epoch: [40][13700/14090]	Time 0.764 (0.767)	Data 0.001 (0.001)	Loss 2.1104 (2.2171)	Prec@1 49.219 (44.281)	Prec@5 74.219 (74.898)
Epoch: [40][13710/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 2.3275 (2.2172)	Prec@1 39.844 (44.280)	Prec@5 72.656 (74.897)
Epoch: [40][13720/14090]	Time 0.766 (0.767)	Data 0.001 (0.001)	Loss 2.1908 (2.2172)	Prec@1 42.969 (44.280)	Prec@5 75.781 (74.896)
Epoch: [40][13730/14090]	Time 0.781 (0.767)	Data 0.002 (0.001)	Loss 2.2459 (2.2173)	Prec@1 42.188 (44.279)	Prec@5 72.656 (74.893)
Epoch: [40][13740/14090]	Time 0.857 (0.767)	Data 0.001 (0.001)	Loss 2.0604 (2.2173)	Prec@1 44.531 (44.279)	Prec@5 76.562 (74.893)
Epoch: [40][13750/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.4742 (2.2173)	Prec@1 43.750 (44.279)	Prec@5 70.312 (74.893)
Epoch: [40][13760/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 2.0361 (2.2172)	Prec@1 46.875 (44.281)	Prec@5 75.000 (74.893)
Epoch: [40][13770/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 1.9702 (2.2173)	Prec@1 50.000 (44.281)	Prec@5 75.781 (74.891)
Epoch: [40][13780/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 2.0172 (2.2172)	Prec@1 50.000 (44.283)	Prec@5 78.906 (74.892)
Epoch: [40][13790/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 2.1881 (2.2172)	Prec@1 40.625 (44.283)	Prec@5 75.781 (74.892)
Epoch: [40][13800/14090]	Time 0.768 (0.767)	Data 0.001 (0.001)	Loss 1.9945 (2.2172)	Prec@1 53.125 (44.283)	Prec@5 78.125 (74.892)
Epoch: [40][13810/14090]	Time 0.879 (0.767)	Data 0.001 (0.001)	Loss 2.4564 (2.2172)	Prec@1 36.719 (44.284)	Prec@5 68.750 (74.891)
Epoch: [40][13820/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 1.9928 (2.2172)	Prec@1 46.094 (44.285)	Prec@5 78.125 (74.892)
Epoch: [40][13830/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 2.0296 (2.2172)	Prec@1 47.656 (44.285)	Prec@5 72.656 (74.892)
Epoch: [40][13840/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 2.3477 (2.2172)	Prec@1 41.406 (44.282)	Prec@5 70.312 (74.890)
Epoch: [40][13850/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 2.2301 (2.2172)	Prec@1 40.625 (44.284)	Prec@5 75.781 (74.892)
Epoch: [40][13860/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.0011 (2.2171)	Prec@1 46.094 (44.283)	Prec@5 78.125 (74.892)
Epoch: [40][13870/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 2.1626 (2.2171)	Prec@1 48.438 (44.284)	Prec@5 75.781 (74.891)
Epoch: [40][13880/14090]	Time 0.840 (0.767)	Data 0.001 (0.001)	Loss 2.2485 (2.2171)	Prec@1 44.531 (44.283)	Prec@5 72.656 (74.891)
Epoch: [40][13890/14090]	Time 0.723 (0.767)	Data 0.001 (0.001)	Loss 2.0982 (2.2172)	Prec@1 48.438 (44.283)	Prec@5 74.219 (74.889)
Epoch: [40][13900/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 2.4602 (2.2171)	Prec@1 41.406 (44.284)	Prec@5 68.750 (74.889)
Epoch: [40][13910/14090]	Time 0.774 (0.767)	Data 0.001 (0.001)	Loss 2.2568 (2.2171)	Prec@1 42.969 (44.284)	Prec@5 74.219 (74.889)
Epoch: [40][13920/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 2.3094 (2.2172)	Prec@1 41.406 (44.282)	Prec@5 71.094 (74.887)
Epoch: [40][13930/14090]	Time 0.722 (0.767)	Data 0.001 (0.001)	Loss 2.3700 (2.2173)	Prec@1 42.969 (44.280)	Prec@5 74.219 (74.886)
Epoch: [40][13940/14090]	Time 0.764 (0.767)	Data 0.001 (0.001)	Loss 2.5030 (2.2173)	Prec@1 40.625 (44.280)	Prec@5 68.750 (74.885)
Epoch: [40][13950/14090]	Time 0.896 (0.767)	Data 0.001 (0.001)	Loss 1.9480 (2.2173)	Prec@1 46.875 (44.280)	Prec@5 79.688 (74.887)
Epoch: [40][13960/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 2.3938 (2.2172)	Prec@1 41.406 (44.281)	Prec@5 70.312 (74.887)
Epoch: [40][13970/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 1.9837 (2.2172)	Prec@1 50.781 (44.281)	Prec@5 82.812 (74.887)
Epoch: [40][13980/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 2.2073 (2.2172)	Prec@1 43.750 (44.281)	Prec@5 75.000 (74.886)
Epoch: [40][13990/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 2.5225 (2.2172)	Prec@1 40.625 (44.281)	Prec@5 70.312 (74.886)
Epoch: [40][14000/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 2.3977 (2.2172)	Prec@1 44.531 (44.282)	Prec@5 71.094 (74.886)
Epoch: [40][14010/14090]	Time 0.754 (0.767)	Data 0.002 (0.001)	Loss 1.9827 (2.2171)	Prec@1 50.781 (44.284)	Prec@5 76.562 (74.886)
Epoch: [40][14020/14090]	Time 0.896 (0.767)	Data 0.001 (0.001)	Loss 2.3512 (2.2172)	Prec@1 42.188 (44.284)	Prec@5 67.969 (74.885)
Epoch: [40][14030/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 2.1150 (2.2171)	Prec@1 50.781 (44.285)	Prec@5 74.219 (74.886)
Epoch: [40][14040/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 2.3898 (2.2171)	Prec@1 39.844 (44.284)	Prec@5 72.656 (74.886)
Epoch: [40][14050/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 2.0050 (2.2172)	Prec@1 45.312 (44.283)	Prec@5 72.656 (74.884)
Epoch: [40][14060/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 2.0942 (2.2172)	Prec@1 47.656 (44.285)	Prec@5 76.562 (74.883)
Epoch: [40][14070/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 2.2085 (2.2173)	Prec@1 46.094 (44.283)	Prec@5 75.781 (74.882)
Epoch: [40][14080/14090]	Time 0.738 (0.767)	Data 0.000 (0.001)	Loss 2.2109 (2.2173)	Prec@1 46.875 (44.283)	Prec@5 72.656 (74.882)
Test: [0/286]	Time 4.163 (4.163)	Loss 1.3903 (1.3903)	Prec@1 51.562 (51.562)	Prec@5 94.531 (94.531)
Test: [10/286]	Time 0.229 (0.745)	Loss 1.8779 (2.0393)	Prec@1 49.219 (47.585)	Prec@5 86.719 (81.108)
Test: [20/286]	Time 0.235 (0.557)	Loss 1.3985 (1.9144)	Prec@1 65.625 (49.330)	Prec@5 89.844 (82.812)
Test: [30/286]	Time 0.228 (0.491)	Loss 1.8042 (1.8575)	Prec@1 53.906 (51.134)	Prec@5 82.812 (82.863)
Test: [40/286]	Time 1.215 (0.482)	Loss 1.5460 (1.8546)	Prec@1 53.125 (51.048)	Prec@5 89.844 (83.041)
Test: [50/286]	Time 0.377 (0.460)	Loss 0.7889 (1.8485)	Prec@1 85.156 (51.409)	Prec@5 92.188 (83.257)
Test: [60/286]	Time 0.240 (0.444)	Loss 3.0088 (1.8930)	Prec@1 28.125 (50.961)	Prec@5 57.812 (81.698)
Test: [70/286]	Time 0.229 (0.431)	Loss 1.3671 (1.8581)	Prec@1 61.719 (51.695)	Prec@5 90.625 (82.251)
Test: [80/286]	Time 1.163 (0.435)	Loss 2.4452 (1.8863)	Prec@1 35.156 (50.530)	Prec@5 75.781 (82.002)
Test: [90/286]	Time 0.279 (0.427)	Loss 1.8117 (1.8846)	Prec@1 47.656 (50.773)	Prec@5 86.719 (81.971)
Test: [100/286]	Time 0.361 (0.424)	Loss 2.6217 (1.8959)	Prec@1 25.781 (50.255)	Prec@5 75.000 (82.116)
Test: [110/286]	Time 0.252 (0.419)	Loss 2.4596 (1.9157)	Prec@1 35.156 (49.718)	Prec@5 71.094 (81.947)
Test: [120/286]	Time 0.941 (0.421)	Loss 2.1581 (1.9041)	Prec@1 49.219 (50.303)	Prec@5 75.781 (82.018)
Test: [130/286]	Time 0.263 (0.417)	Loss 1.1104 (1.8964)	Prec@1 67.969 (50.549)	Prec@5 96.875 (82.121)
Test: [140/286]	Time 0.309 (0.417)	Loss 2.2169 (1.8903)	Prec@1 45.312 (50.659)	Prec@5 75.000 (82.203)
Test: [150/286]	Time 0.290 (0.415)	Loss 2.8951 (1.9078)	Prec@1 21.875 (50.000)	Prec@5 70.312 (81.938)
Test: [160/286]	Time 0.304 (0.412)	Loss 3.0668 (1.9044)	Prec@1 20.312 (50.121)	Prec@5 53.906 (81.900)
Test: [170/286]	Time 0.345 (0.410)	Loss 2.0506 (1.9023)	Prec@1 43.750 (50.101)	Prec@5 81.250 (81.917)
Test: [180/286]	Time 0.334 (0.413)	Loss 1.7359 (1.9040)	Prec@1 61.719 (50.125)	Prec@5 82.031 (81.889)
Test: [190/286]	Time 0.248 (0.411)	Loss 3.4005 (1.9291)	Prec@1 11.719 (49.571)	Prec@5 64.062 (81.545)
Test: [200/286]	Time 0.229 (0.409)	Loss 1.6185 (1.9246)	Prec@1 67.969 (49.802)	Prec@5 89.844 (81.596)
Test: [210/286]	Time 0.309 (0.409)	Loss 1.8658 (1.9290)	Prec@1 56.250 (49.637)	Prec@5 81.250 (81.583)
Test: [220/286]	Time 0.237 (0.410)	Loss 2.7293 (1.9380)	Prec@1 28.125 (49.516)	Prec@5 74.219 (81.409)
Test: [230/286]	Time 0.236 (0.408)	Loss 1.3478 (1.9348)	Prec@1 65.625 (49.611)	Prec@5 88.281 (81.419)
Test: [240/286]	Time 0.304 (0.406)	Loss 1.7803 (1.9332)	Prec@1 57.812 (49.728)	Prec@5 85.156 (81.422)
Test: [250/286]	Time 0.285 (0.408)	Loss 1.6664 (1.9231)	Prec@1 51.562 (49.785)	Prec@5 87.500 (81.658)
Test: [260/286]	Time 0.294 (0.407)	Loss 1.8538 (1.9142)	Prec@1 48.438 (50.042)	Prec@5 83.594 (81.813)
Test: [270/286]	Time 0.287 (0.406)	Loss 1.4612 (1.9104)	Prec@1 65.625 (50.202)	Prec@5 87.500 (81.867)
Test: [280/286]	Time 0.285 (0.405)	Loss 1.5957 (1.8946)	Prec@1 58.594 (50.709)	Prec@5 90.625 (82.023)
 * Prec@1 50.821 Prec@5 82.011
Epoch: [41][0/14090]	Time 5.768 (5.768)	Data 5.014 (5.014)	Loss 2.3635 (2.3635)	Prec@1 45.312 (45.312)	Prec@5 73.438 (73.438)
Epoch: [41][10/14090]	Time 0.751 (1.194)	Data 0.001 (0.457)	Loss 2.2146 (2.1667)	Prec@1 46.094 (45.668)	Prec@5 72.656 (74.787)
Epoch: [41][20/14090]	Time 0.734 (0.992)	Data 0.001 (0.240)	Loss 2.5310 (2.2038)	Prec@1 37.500 (44.829)	Prec@5 69.531 (73.735)
Epoch: [41][30/14090]	Time 0.744 (0.913)	Data 0.001 (0.163)	Loss 2.3705 (2.2322)	Prec@1 45.312 (44.330)	Prec@5 68.750 (73.438)
Epoch: [41][40/14090]	Time 0.752 (0.875)	Data 0.001 (0.123)	Loss 2.1698 (2.2397)	Prec@1 50.781 (44.036)	Prec@5 75.000 (73.438)
Epoch: [41][50/14090]	Time 0.752 (0.852)	Data 0.001 (0.099)	Loss 2.0547 (2.2390)	Prec@1 43.750 (44.148)	Prec@5 76.562 (73.514)
Epoch: [41][60/14090]	Time 0.999 (0.841)	Data 0.001 (0.083)	Loss 2.2357 (2.2205)	Prec@1 44.531 (44.518)	Prec@5 68.750 (73.796)
Epoch: [41][70/14090]	Time 0.752 (0.831)	Data 0.001 (0.071)	Loss 2.1379 (2.2255)	Prec@1 46.875 (44.333)	Prec@5 74.219 (73.856)
Epoch: [41][80/14090]	Time 0.725 (0.822)	Data 0.001 (0.063)	Loss 2.2397 (2.2224)	Prec@1 49.219 (44.387)	Prec@5 75.000 (74.122)
Epoch: [41][90/14090]	Time 0.750 (0.819)	Data 0.001 (0.056)	Loss 1.9142 (2.2144)	Prec@1 51.562 (44.480)	Prec@5 78.125 (74.305)
Epoch: [41][100/14090]	Time 0.758 (0.813)	Data 0.001 (0.050)	Loss 1.9191 (2.2071)	Prec@1 57.812 (44.554)	Prec@5 78.906 (74.644)
Epoch: [41][110/14090]	Time 0.756 (0.810)	Data 0.001 (0.046)	Loss 1.9964 (2.2084)	Prec@1 49.219 (44.468)	Prec@5 78.906 (74.831)
Epoch: [41][120/14090]	Time 0.752 (0.806)	Data 0.001 (0.042)	Loss 2.1478 (2.2105)	Prec@1 49.219 (44.512)	Prec@5 75.781 (74.813)
Epoch: [41][130/14090]	Time 0.847 (0.804)	Data 0.001 (0.039)	Loss 2.0793 (2.2061)	Prec@1 50.000 (44.490)	Prec@5 78.906 (74.964)
Epoch: [41][140/14090]	Time 0.759 (0.801)	Data 0.001 (0.036)	Loss 2.4336 (2.2113)	Prec@1 42.969 (44.470)	Prec@5 69.531 (74.812)
Epoch: [41][150/14090]	Time 0.749 (0.799)	Data 0.001 (0.034)	Loss 2.2810 (2.2079)	Prec@1 38.281 (44.511)	Prec@5 75.000 (74.871)
Epoch: [41][160/14090]	Time 0.728 (0.797)	Data 0.001 (0.032)	Loss 2.2234 (2.2059)	Prec@1 48.438 (44.570)	Prec@5 71.875 (74.913)
Epoch: [41][170/14090]	Time 0.737 (0.796)	Data 0.001 (0.030)	Loss 1.9409 (2.2026)	Prec@1 52.344 (44.664)	Prec@5 76.562 (74.890)
Epoch: [41][180/14090]	Time 0.746 (0.795)	Data 0.001 (0.029)	Loss 2.2746 (2.1996)	Prec@1 40.625 (44.661)	Prec@5 75.781 (74.961)
Epoch: [41][190/14090]	Time 0.761 (0.793)	Data 0.001 (0.027)	Loss 2.1106 (2.1970)	Prec@1 42.188 (44.621)	Prec@5 78.906 (75.070)
Epoch: [41][200/14090]	Time 0.839 (0.792)	Data 0.001 (0.026)	Loss 2.2799 (2.2014)	Prec@1 44.531 (44.543)	Prec@5 74.219 (75.023)
Epoch: [41][210/14090]	Time 0.763 (0.791)	Data 0.001 (0.025)	Loss 2.1519 (2.2006)	Prec@1 43.750 (44.583)	Prec@5 75.781 (75.022)
Epoch: [41][220/14090]	Time 0.768 (0.790)	Data 0.001 (0.024)	Loss 2.2996 (2.1987)	Prec@1 45.312 (44.655)	Prec@5 70.312 (75.007)
Epoch: [41][230/14090]	Time 0.743 (0.790)	Data 0.001 (0.023)	Loss 1.8504 (2.2024)	Prec@1 53.125 (44.602)	Prec@5 82.031 (74.902)
Epoch: [41][240/14090]	Time 0.740 (0.789)	Data 0.001 (0.022)	Loss 2.1231 (2.1980)	Prec@1 42.188 (44.645)	Prec@5 78.906 (74.971)
Epoch: [41][250/14090]	Time 0.756 (0.788)	Data 0.001 (0.021)	Loss 2.0847 (2.1978)	Prec@1 42.969 (44.637)	Prec@5 76.562 (74.944)
Epoch: [41][260/14090]	Time 0.730 (0.787)	Data 0.001 (0.020)	Loss 2.0220 (2.1970)	Prec@1 47.656 (44.624)	Prec@5 81.250 (74.994)
Epoch: [41][270/14090]	Time 0.876 (0.786)	Data 0.001 (0.019)	Loss 2.1187 (2.2004)	Prec@1 48.438 (44.574)	Prec@5 78.125 (74.951)
Epoch: [41][280/14090]	Time 0.752 (0.786)	Data 0.001 (0.019)	Loss 2.0169 (2.1986)	Prec@1 50.000 (44.609)	Prec@5 77.344 (74.986)
Epoch: [41][290/14090]	Time 0.753 (0.785)	Data 0.001 (0.018)	Loss 2.0987 (2.1984)	Prec@1 43.750 (44.598)	Prec@5 80.469 (75.035)
Epoch: [41][300/14090]	Time 0.750 (0.784)	Data 0.001 (0.017)	Loss 1.9972 (2.1962)	Prec@1 46.094 (44.638)	Prec@5 76.562 (75.055)
Epoch: [41][310/14090]	Time 0.771 (0.784)	Data 0.001 (0.017)	Loss 2.2790 (2.1979)	Prec@1 44.531 (44.592)	Prec@5 73.438 (75.008)
Epoch: [41][320/14090]	Time 0.762 (0.783)	Data 0.001 (0.016)	Loss 2.2533 (2.1987)	Prec@1 44.531 (44.577)	Prec@5 73.438 (75.015)
Epoch: [41][330/14090]	Time 0.759 (0.783)	Data 0.001 (0.016)	Loss 2.3878 (2.2004)	Prec@1 42.969 (44.560)	Prec@5 65.625 (74.979)
Epoch: [41][340/14090]	Time 0.898 (0.782)	Data 0.001 (0.016)	Loss 2.1936 (2.1999)	Prec@1 45.312 (44.584)	Prec@5 74.219 (74.968)
Epoch: [41][350/14090]	Time 0.777 (0.782)	Data 0.001 (0.015)	Loss 2.1587 (2.1992)	Prec@1 44.531 (44.594)	Prec@5 78.125 (74.964)
Epoch: [41][360/14090]	Time 0.734 (0.782)	Data 0.001 (0.015)	Loss 2.3535 (2.1977)	Prec@1 42.969 (44.583)	Prec@5 73.438 (75.006)
Epoch: [41][370/14090]	Time 0.746 (0.781)	Data 0.001 (0.014)	Loss 2.0978 (2.1973)	Prec@1 50.000 (44.615)	Prec@5 71.875 (75.017)
Epoch: [41][380/14090]	Time 0.750 (0.781)	Data 0.001 (0.014)	Loss 2.4825 (2.1991)	Prec@1 41.406 (44.556)	Prec@5 69.531 (74.994)
Epoch: [41][390/14090]	Time 0.736 (0.781)	Data 0.001 (0.014)	Loss 1.7929 (2.1989)	Prec@1 53.906 (44.543)	Prec@5 83.594 (75.004)
Epoch: [41][400/14090]	Time 0.755 (0.780)	Data 0.001 (0.013)	Loss 1.9468 (2.1998)	Prec@1 50.781 (44.549)	Prec@5 84.375 (75.018)
Epoch: [41][410/14090]	Time 0.929 (0.780)	Data 0.001 (0.013)	Loss 2.3476 (2.1992)	Prec@1 39.062 (44.533)	Prec@5 72.656 (75.068)
Epoch: [41][420/14090]	Time 0.755 (0.780)	Data 0.001 (0.013)	Loss 2.4545 (2.2011)	Prec@1 41.406 (44.524)	Prec@5 74.219 (75.050)
Epoch: [41][430/14090]	Time 0.753 (0.780)	Data 0.002 (0.012)	Loss 2.1743 (2.2015)	Prec@1 46.875 (44.540)	Prec@5 80.469 (75.042)
Epoch: [41][440/14090]	Time 0.756 (0.780)	Data 0.001 (0.012)	Loss 2.1809 (2.2005)	Prec@1 42.969 (44.574)	Prec@5 77.344 (75.069)
Epoch: [41][450/14090]	Time 0.739 (0.779)	Data 0.001 (0.012)	Loss 2.2190 (2.1998)	Prec@1 50.781 (44.621)	Prec@5 72.656 (75.094)
Epoch: [41][460/14090]	Time 0.750 (0.779)	Data 0.001 (0.012)	Loss 2.4685 (2.1989)	Prec@1 45.312 (44.653)	Prec@5 69.531 (75.108)
Epoch: [41][470/14090]	Time 0.742 (0.779)	Data 0.001 (0.011)	Loss 2.2704 (2.1996)	Prec@1 42.188 (44.618)	Prec@5 74.219 (75.108)
Epoch: [41][480/14090]	Time 0.886 (0.779)	Data 0.001 (0.011)	Loss 1.8428 (2.1982)	Prec@1 56.250 (44.637)	Prec@5 77.344 (75.112)
Epoch: [41][490/14090]	Time 0.729 (0.778)	Data 0.001 (0.011)	Loss 2.1383 (2.1974)	Prec@1 46.875 (44.635)	Prec@5 76.562 (75.143)
Epoch: [41][500/14090]	Time 0.757 (0.778)	Data 0.001 (0.011)	Loss 2.0371 (2.1989)	Prec@1 48.438 (44.622)	Prec@5 82.031 (75.122)
Epoch: [41][510/14090]	Time 0.758 (0.778)	Data 0.001 (0.011)	Loss 2.3336 (2.1999)	Prec@1 39.062 (44.611)	Prec@5 75.781 (75.121)
Epoch: [41][520/14090]	Time 0.753 (0.778)	Data 0.001 (0.010)	Loss 2.2459 (2.2014)	Prec@1 46.094 (44.602)	Prec@5 71.094 (75.088)
Epoch: [41][530/14090]	Time 0.758 (0.778)	Data 0.001 (0.010)	Loss 2.3930 (2.2026)	Prec@1 42.188 (44.577)	Prec@5 71.875 (75.079)
Epoch: [41][540/14090]	Time 0.746 (0.777)	Data 0.001 (0.010)	Loss 2.1085 (2.2019)	Prec@1 42.188 (44.589)	Prec@5 78.125 (75.071)
Epoch: [41][550/14090]	Time 0.853 (0.777)	Data 0.001 (0.010)	Loss 2.3010 (2.2013)	Prec@1 42.188 (44.608)	Prec@5 75.781 (75.089)
Epoch: [41][560/14090]	Time 0.745 (0.777)	Data 0.001 (0.010)	Loss 2.2617 (2.2011)	Prec@1 42.969 (44.567)	Prec@5 77.344 (75.095)
Epoch: [41][570/14090]	Time 0.777 (0.777)	Data 0.001 (0.010)	Loss 2.3030 (2.2015)	Prec@1 42.969 (44.567)	Prec@5 73.438 (75.079)
Epoch: [41][580/14090]	Time 0.753 (0.777)	Data 0.001 (0.009)	Loss 2.1866 (2.2017)	Prec@1 43.750 (44.586)	Prec@5 74.219 (75.086)
Epoch: [41][590/14090]	Time 0.786 (0.777)	Data 0.001 (0.009)	Loss 2.0152 (2.2017)	Prec@1 46.875 (44.593)	Prec@5 78.125 (75.074)
Epoch: [41][600/14090]	Time 0.748 (0.777)	Data 0.001 (0.009)	Loss 1.9942 (2.2009)	Prec@1 50.781 (44.631)	Prec@5 79.688 (75.084)
Epoch: [41][610/14090]	Time 0.753 (0.776)	Data 0.001 (0.009)	Loss 2.1777 (2.2003)	Prec@1 42.969 (44.625)	Prec@5 76.562 (75.093)
Epoch: [41][620/14090]	Time 0.853 (0.776)	Data 0.001 (0.009)	Loss 2.0388 (2.1992)	Prec@1 46.875 (44.656)	Prec@5 79.688 (75.102)
Epoch: [41][630/14090]	Time 0.751 (0.776)	Data 0.001 (0.009)	Loss 2.1081 (2.1985)	Prec@1 47.656 (44.681)	Prec@5 75.781 (75.124)
Epoch: [41][640/14090]	Time 0.757 (0.776)	Data 0.001 (0.009)	Loss 2.3882 (2.1979)	Prec@1 40.625 (44.699)	Prec@5 75.781 (75.135)
Epoch: [41][650/14090]	Time 0.734 (0.776)	Data 0.001 (0.009)	Loss 2.2486 (2.1971)	Prec@1 46.875 (44.710)	Prec@5 72.656 (75.160)
Epoch: [41][660/14090]	Time 0.731 (0.775)	Data 0.001 (0.008)	Loss 2.1609 (2.1966)	Prec@1 42.969 (44.719)	Prec@5 75.781 (75.184)
Epoch: [41][670/14090]	Time 0.769 (0.776)	Data 0.001 (0.008)	Loss 2.2850 (2.1975)	Prec@1 38.281 (44.662)	Prec@5 71.875 (75.177)
Epoch: [41][680/14090]	Time 0.743 (0.775)	Data 0.001 (0.008)	Loss 1.9243 (2.1962)	Prec@1 50.000 (44.670)	Prec@5 77.344 (75.211)
Epoch: [41][690/14090]	Time 0.884 (0.776)	Data 0.001 (0.008)	Loss 2.1763 (2.1962)	Prec@1 42.188 (44.699)	Prec@5 78.125 (75.189)
Epoch: [41][700/14090]	Time 0.751 (0.776)	Data 0.001 (0.008)	Loss 2.5814 (2.1966)	Prec@1 37.500 (44.706)	Prec@5 62.500 (75.169)
Epoch: [41][710/14090]	Time 0.776 (0.775)	Data 0.001 (0.008)	Loss 2.2404 (2.1964)	Prec@1 38.281 (44.685)	Prec@5 76.562 (75.168)
Epoch: [41][720/14090]	Time 0.730 (0.775)	Data 0.001 (0.008)	Loss 2.2846 (2.1955)	Prec@1 41.406 (44.693)	Prec@5 67.969 (75.185)
Epoch: [41][730/14090]	Time 0.762 (0.775)	Data 0.001 (0.008)	Loss 2.0237 (2.1953)	Prec@1 39.844 (44.663)	Prec@5 80.469 (75.202)
Epoch: [41][740/14090]	Time 0.762 (0.776)	Data 0.001 (0.008)	Loss 2.0835 (2.1952)	Prec@1 46.875 (44.680)	Prec@5 80.469 (75.206)
Epoch: [41][750/14090]	Time 0.741 (0.775)	Data 0.001 (0.007)	Loss 2.1863 (2.1948)	Prec@1 45.312 (44.695)	Prec@5 75.000 (75.218)
Epoch: [41][760/14090]	Time 0.991 (0.775)	Data 0.001 (0.007)	Loss 2.3503 (2.1953)	Prec@1 45.312 (44.686)	Prec@5 71.875 (75.204)
Epoch: [41][770/14090]	Time 0.763 (0.775)	Data 0.001 (0.007)	Loss 2.3387 (2.1962)	Prec@1 46.094 (44.685)	Prec@5 71.875 (75.164)
Epoch: [41][780/14090]	Time 0.753 (0.775)	Data 0.001 (0.007)	Loss 2.4600 (2.1974)	Prec@1 38.281 (44.647)	Prec@5 67.969 (75.139)
Epoch: [41][790/14090]	Time 0.770 (0.775)	Data 0.001 (0.007)	Loss 2.1285 (2.1972)	Prec@1 44.531 (44.641)	Prec@5 75.000 (75.146)
Epoch: [41][800/14090]	Time 0.715 (0.775)	Data 0.001 (0.007)	Loss 2.2099 (2.1977)	Prec@1 45.312 (44.631)	Prec@5 74.219 (75.134)
Epoch: [41][810/14090]	Time 0.746 (0.775)	Data 0.001 (0.007)	Loss 2.0286 (2.1977)	Prec@1 51.562 (44.644)	Prec@5 77.344 (75.132)
Epoch: [41][820/14090]	Time 0.753 (0.775)	Data 0.001 (0.007)	Loss 2.3496 (2.1990)	Prec@1 39.062 (44.617)	Prec@5 77.344 (75.100)
Epoch: [41][830/14090]	Time 0.877 (0.775)	Data 0.001 (0.007)	Loss 1.9439 (2.1976)	Prec@1 46.094 (44.640)	Prec@5 82.031 (75.132)
Epoch: [41][840/14090]	Time 0.746 (0.774)	Data 0.001 (0.007)	Loss 2.0915 (2.1985)	Prec@1 45.312 (44.625)	Prec@5 77.344 (75.118)
Epoch: [41][850/14090]	Time 0.746 (0.774)	Data 0.004 (0.007)	Loss 2.0007 (2.1992)	Prec@1 52.344 (44.629)	Prec@5 81.250 (75.121)
Epoch: [41][860/14090]	Time 0.780 (0.774)	Data 0.001 (0.007)	Loss 2.2067 (2.1994)	Prec@1 43.750 (44.616)	Prec@5 75.000 (75.126)
Epoch: [41][870/14090]	Time 0.742 (0.774)	Data 0.001 (0.007)	Loss 1.9424 (2.1987)	Prec@1 57.031 (44.637)	Prec@5 79.688 (75.157)
Epoch: [41][880/14090]	Time 0.753 (0.774)	Data 0.001 (0.007)	Loss 2.0689 (2.1981)	Prec@1 47.656 (44.655)	Prec@5 77.344 (75.171)
Epoch: [41][890/14090]	Time 0.753 (0.774)	Data 0.001 (0.006)	Loss 2.2473 (2.1981)	Prec@1 43.750 (44.659)	Prec@5 75.000 (75.183)
Epoch: [41][900/14090]	Time 1.027 (0.774)	Data 0.001 (0.006)	Loss 2.2542 (2.1981)	Prec@1 42.969 (44.651)	Prec@5 75.781 (75.183)
Epoch: [41][910/14090]	Time 0.752 (0.774)	Data 0.001 (0.006)	Loss 2.0269 (2.1977)	Prec@1 42.969 (44.676)	Prec@5 80.469 (75.184)
Epoch: [41][920/14090]	Time 0.753 (0.773)	Data 0.001 (0.006)	Loss 2.4677 (2.1987)	Prec@1 38.281 (44.676)	Prec@5 71.875 (75.165)
Epoch: [41][930/14090]	Time 0.738 (0.774)	Data 0.001 (0.006)	Loss 2.5054 (2.1990)	Prec@1 44.531 (44.680)	Prec@5 63.281 (75.141)
Epoch: [41][940/14090]	Time 0.738 (0.773)	Data 0.001 (0.006)	Loss 2.2584 (2.1983)	Prec@1 48.438 (44.680)	Prec@5 75.000 (75.159)
Epoch: [41][950/14090]	Time 0.761 (0.773)	Data 0.001 (0.006)	Loss 2.3225 (2.1987)	Prec@1 43.750 (44.659)	Prec@5 68.750 (75.146)
Epoch: [41][960/14090]	Time 0.747 (0.773)	Data 0.001 (0.006)	Loss 2.0759 (2.1984)	Prec@1 47.656 (44.660)	Prec@5 81.250 (75.164)
Epoch: [41][970/14090]	Time 0.848 (0.773)	Data 0.001 (0.006)	Loss 2.5136 (2.1992)	Prec@1 42.969 (44.658)	Prec@5 66.406 (75.157)
Epoch: [41][980/14090]	Time 0.734 (0.773)	Data 0.001 (0.006)	Loss 2.4463 (2.1995)	Prec@1 40.625 (44.642)	Prec@5 70.312 (75.152)
Epoch: [41][990/14090]	Time 0.749 (0.773)	Data 0.001 (0.006)	Loss 2.4534 (2.1989)	Prec@1 37.500 (44.650)	Prec@5 71.094 (75.164)
Epoch: [41][1000/14090]	Time 0.736 (0.773)	Data 0.001 (0.006)	Loss 2.0760 (2.1984)	Prec@1 46.875 (44.637)	Prec@5 78.125 (75.190)
Epoch: [41][1010/14090]	Time 0.745 (0.773)	Data 0.001 (0.006)	Loss 2.0061 (2.1980)	Prec@1 49.219 (44.638)	Prec@5 79.688 (75.190)
Epoch: [41][1020/14090]	Time 0.765 (0.773)	Data 0.001 (0.006)	Loss 2.2906 (2.1981)	Prec@1 43.750 (44.631)	Prec@5 78.125 (75.190)
Epoch: [41][1030/14090]	Time 0.750 (0.773)	Data 0.001 (0.006)	Loss 2.4002 (2.1978)	Prec@1 39.844 (44.619)	Prec@5 71.875 (75.201)
Epoch: [41][1040/14090]	Time 0.821 (0.773)	Data 0.001 (0.006)	Loss 2.2555 (2.1985)	Prec@1 41.406 (44.588)	Prec@5 75.781 (75.186)
Epoch: [41][1050/14090]	Time 0.756 (0.773)	Data 0.001 (0.006)	Loss 2.3278 (2.1996)	Prec@1 46.875 (44.571)	Prec@5 69.531 (75.163)
Epoch: [41][1060/14090]	Time 0.750 (0.773)	Data 0.001 (0.006)	Loss 2.0451 (2.1999)	Prec@1 47.656 (44.577)	Prec@5 77.344 (75.163)
Epoch: [41][1070/14090]	Time 0.742 (0.773)	Data 0.001 (0.006)	Loss 2.0809 (2.2000)	Prec@1 45.312 (44.579)	Prec@5 77.344 (75.172)
Epoch: [41][1080/14090]	Time 0.746 (0.772)	Data 0.001 (0.005)	Loss 2.1909 (2.1995)	Prec@1 39.844 (44.567)	Prec@5 71.875 (75.184)
Epoch: [41][1090/14090]	Time 0.750 (0.772)	Data 0.001 (0.005)	Loss 2.5915 (2.1993)	Prec@1 35.938 (44.573)	Prec@5 68.750 (75.181)
Epoch: [41][1100/14090]	Time 0.769 (0.772)	Data 0.001 (0.005)	Loss 2.3573 (2.1997)	Prec@1 41.406 (44.564)	Prec@5 68.750 (75.173)
Epoch: [41][1110/14090]	Time 0.889 (0.772)	Data 0.001 (0.005)	Loss 1.9013 (2.1991)	Prec@1 46.875 (44.583)	Prec@5 79.688 (75.173)
Epoch: [41][1120/14090]	Time 0.773 (0.772)	Data 0.001 (0.005)	Loss 2.3814 (2.1986)	Prec@1 42.969 (44.592)	Prec@5 72.656 (75.193)
Epoch: [41][1130/14090]	Time 0.732 (0.772)	Data 0.001 (0.005)	Loss 2.1309 (2.1983)	Prec@1 48.438 (44.589)	Prec@5 75.000 (75.188)
Epoch: [41][1140/14090]	Time 0.758 (0.772)	Data 0.001 (0.005)	Loss 2.1760 (2.1990)	Prec@1 49.219 (44.573)	Prec@5 75.781 (75.168)
Epoch: [41][1150/14090]	Time 0.751 (0.772)	Data 0.001 (0.005)	Loss 2.3760 (2.1988)	Prec@1 42.188 (44.578)	Prec@5 69.531 (75.166)
Epoch: [41][1160/14090]	Time 0.758 (0.772)	Data 0.001 (0.005)	Loss 2.1923 (2.1985)	Prec@1 45.312 (44.580)	Prec@5 71.875 (75.165)
Epoch: [41][1170/14090]	Time 0.759 (0.772)	Data 0.001 (0.005)	Loss 1.9483 (2.1976)	Prec@1 51.562 (44.602)	Prec@5 80.469 (75.185)
Epoch: [41][1180/14090]	Time 0.863 (0.772)	Data 0.001 (0.005)	Loss 2.5144 (2.1981)	Prec@1 40.625 (44.585)	Prec@5 71.094 (75.187)
Epoch: [41][1190/14090]	Time 0.761 (0.772)	Data 0.001 (0.005)	Loss 2.3815 (2.1987)	Prec@1 43.750 (44.586)	Prec@5 72.656 (75.192)
Epoch: [41][1200/14090]	Time 0.732 (0.772)	Data 0.001 (0.005)	Loss 2.2201 (2.1991)	Prec@1 45.312 (44.568)	Prec@5 72.656 (75.178)
Epoch: [41][1210/14090]	Time 0.736 (0.772)	Data 0.001 (0.005)	Loss 2.1350 (2.1984)	Prec@1 47.656 (44.573)	Prec@5 75.781 (75.202)
Epoch: [41][1220/14090]	Time 0.724 (0.772)	Data 0.001 (0.005)	Loss 2.1105 (2.1975)	Prec@1 46.094 (44.586)	Prec@5 75.000 (75.219)
Epoch: [41][1230/14090]	Time 0.756 (0.772)	Data 0.001 (0.005)	Loss 2.5204 (2.1975)	Prec@1 42.188 (44.590)	Prec@5 67.188 (75.223)
Epoch: [41][1240/14090]	Time 0.753 (0.772)	Data 0.001 (0.005)	Loss 2.0187 (2.1974)	Prec@1 42.969 (44.594)	Prec@5 78.906 (75.224)
Epoch: [41][1250/14090]	Time 0.829 (0.772)	Data 0.001 (0.005)	Loss 2.0122 (2.1972)	Prec@1 46.875 (44.598)	Prec@5 78.906 (75.223)
Epoch: [41][1260/14090]	Time 0.723 (0.772)	Data 0.001 (0.005)	Loss 2.0209 (2.1969)	Prec@1 50.000 (44.598)	Prec@5 79.688 (75.228)
Epoch: [41][1270/14090]	Time 0.758 (0.772)	Data 0.001 (0.005)	Loss 2.5959 (2.1972)	Prec@1 39.062 (44.599)	Prec@5 71.094 (75.226)
Epoch: [41][1280/14090]	Time 0.753 (0.772)	Data 0.001 (0.005)	Loss 2.1101 (2.1971)	Prec@1 49.219 (44.607)	Prec@5 73.438 (75.229)
Epoch: [41][1290/14090]	Time 0.757 (0.772)	Data 0.001 (0.005)	Loss 2.1381 (2.1970)	Prec@1 39.062 (44.598)	Prec@5 77.344 (75.224)
Epoch: [41][1300/14090]	Time 0.741 (0.771)	Data 0.001 (0.005)	Loss 2.2602 (2.1971)	Prec@1 34.375 (44.597)	Prec@5 75.781 (75.225)
Epoch: [41][1310/14090]	Time 0.757 (0.771)	Data 0.001 (0.005)	Loss 1.8995 (2.1977)	Prec@1 51.562 (44.596)	Prec@5 83.594 (75.211)
Epoch: [41][1320/14090]	Time 0.836 (0.771)	Data 0.001 (0.005)	Loss 2.3756 (2.1977)	Prec@1 41.406 (44.592)	Prec@5 73.438 (75.211)
Epoch: [41][1330/14090]	Time 0.760 (0.771)	Data 0.001 (0.005)	Loss 2.2430 (2.1979)	Prec@1 44.531 (44.581)	Prec@5 72.656 (75.211)
Epoch: [41][1340/14090]	Time 0.766 (0.771)	Data 0.001 (0.005)	Loss 2.1584 (2.1984)	Prec@1 44.531 (44.580)	Prec@5 75.000 (75.188)
Epoch: [41][1350/14090]	Time 0.753 (0.771)	Data 0.001 (0.005)	Loss 2.5277 (2.1995)	Prec@1 41.406 (44.568)	Prec@5 71.094 (75.160)
Epoch: [41][1360/14090]	Time 0.749 (0.771)	Data 0.001 (0.005)	Loss 2.3651 (2.1991)	Prec@1 44.531 (44.581)	Prec@5 70.312 (75.162)
Epoch: [41][1370/14090]	Time 0.751 (0.771)	Data 0.001 (0.004)	Loss 2.2188 (2.1990)	Prec@1 42.188 (44.571)	Prec@5 78.125 (75.162)
Epoch: [41][1380/14090]	Time 0.754 (0.771)	Data 0.001 (0.004)	Loss 2.0405 (2.1987)	Prec@1 45.312 (44.575)	Prec@5 78.125 (75.173)
Epoch: [41][1390/14090]	Time 0.880 (0.771)	Data 0.001 (0.004)	Loss 2.0247 (2.1989)	Prec@1 52.344 (44.581)	Prec@5 78.125 (75.171)
Epoch: [41][1400/14090]	Time 0.770 (0.771)	Data 0.001 (0.004)	Loss 2.1258 (2.1986)	Prec@1 42.969 (44.590)	Prec@5 73.438 (75.177)
Epoch: [41][1410/14090]	Time 0.750 (0.771)	Data 0.001 (0.004)	Loss 2.1795 (2.1989)	Prec@1 47.656 (44.594)	Prec@5 70.312 (75.166)
Epoch: [41][1420/14090]	Time 0.746 (0.771)	Data 0.001 (0.004)	Loss 2.2940 (2.1990)	Prec@1 41.406 (44.587)	Prec@5 67.188 (75.157)
Epoch: [41][1430/14090]	Time 0.726 (0.771)	Data 0.001 (0.004)	Loss 2.1256 (2.1996)	Prec@1 48.438 (44.578)	Prec@5 80.469 (75.156)
Epoch: [41][1440/14090]	Time 0.759 (0.771)	Data 0.001 (0.004)	Loss 2.1342 (2.1995)	Prec@1 45.312 (44.591)	Prec@5 78.125 (75.157)
Epoch: [41][1450/14090]	Time 0.752 (0.771)	Data 0.001 (0.004)	Loss 2.3212 (2.1997)	Prec@1 47.656 (44.590)	Prec@5 75.000 (75.154)
Epoch: [41][1460/14090]	Time 1.036 (0.771)	Data 0.001 (0.004)	Loss 1.9868 (2.1996)	Prec@1 46.875 (44.590)	Prec@5 79.688 (75.150)
Epoch: [41][1470/14090]	Time 0.773 (0.771)	Data 0.001 (0.004)	Loss 2.1030 (2.1994)	Prec@1 48.438 (44.603)	Prec@5 77.344 (75.149)
Epoch: [41][1480/14090]	Time 0.755 (0.771)	Data 0.001 (0.004)	Loss 2.3482 (2.1994)	Prec@1 42.188 (44.602)	Prec@5 75.781 (75.152)
Epoch: [41][1490/14090]	Time 0.745 (0.771)	Data 0.001 (0.004)	Loss 2.3196 (2.1997)	Prec@1 40.625 (44.585)	Prec@5 72.656 (75.145)
Epoch: [41][1500/14090]	Time 0.735 (0.771)	Data 0.001 (0.004)	Loss 2.2756 (2.2000)	Prec@1 37.500 (44.569)	Prec@5 75.781 (75.141)
Epoch: [41][1510/14090]	Time 0.735 (0.771)	Data 0.001 (0.004)	Loss 2.2398 (2.1995)	Prec@1 42.188 (44.586)	Prec@5 76.562 (75.155)
Epoch: [41][1520/14090]	Time 0.755 (0.771)	Data 0.001 (0.004)	Loss 2.3206 (2.1998)	Prec@1 43.750 (44.577)	Prec@5 73.438 (75.149)
Epoch: [41][1530/14090]	Time 0.858 (0.771)	Data 0.001 (0.004)	Loss 1.9934 (2.1998)	Prec@1 47.656 (44.570)	Prec@5 78.125 (75.157)
Epoch: [41][1540/14090]	Time 0.739 (0.771)	Data 0.001 (0.004)	Loss 2.1936 (2.1998)	Prec@1 42.188 (44.565)	Prec@5 78.125 (75.157)
Epoch: [41][1550/14090]	Time 0.741 (0.771)	Data 0.001 (0.004)	Loss 1.8730 (2.1992)	Prec@1 52.344 (44.579)	Prec@5 80.469 (75.165)
Epoch: [41][1560/14090]	Time 0.731 (0.771)	Data 0.001 (0.004)	Loss 2.4265 (2.1996)	Prec@1 38.281 (44.580)	Prec@5 72.656 (75.158)
Epoch: [41][1570/14090]	Time 0.757 (0.771)	Data 0.001 (0.004)	Loss 2.0692 (2.1993)	Prec@1 50.000 (44.596)	Prec@5 77.344 (75.170)
Epoch: [41][1580/14090]	Time 0.743 (0.771)	Data 0.001 (0.004)	Loss 1.9402 (2.1993)	Prec@1 48.438 (44.601)	Prec@5 82.812 (75.171)
Epoch: [41][1590/14090]	Time 0.755 (0.771)	Data 0.001 (0.004)	Loss 2.2280 (2.1988)	Prec@1 50.781 (44.602)	Prec@5 75.000 (75.178)
Epoch: [41][1600/14090]	Time 0.872 (0.771)	Data 0.001 (0.004)	Loss 2.0799 (2.1992)	Prec@1 45.312 (44.591)	Prec@5 77.344 (75.177)
Epoch: [41][1610/14090]	Time 0.738 (0.771)	Data 0.001 (0.004)	Loss 1.9762 (2.1993)	Prec@1 48.438 (44.595)	Prec@5 76.562 (75.169)
Epoch: [41][1620/14090]	Time 0.745 (0.771)	Data 0.001 (0.004)	Loss 2.1681 (2.1997)	Prec@1 41.406 (44.594)	Prec@5 76.562 (75.172)
Epoch: [41][1630/14090]	Time 0.747 (0.771)	Data 0.001 (0.004)	Loss 2.1226 (2.1999)	Prec@1 38.281 (44.584)	Prec@5 77.344 (75.172)
Epoch: [41][1640/14090]	Time 0.736 (0.771)	Data 0.001 (0.004)	Loss 2.2176 (2.1998)	Prec@1 48.438 (44.591)	Prec@5 74.219 (75.172)
Epoch: [41][1650/14090]	Time 0.737 (0.771)	Data 0.001 (0.004)	Loss 2.0420 (2.2001)	Prec@1 50.000 (44.589)	Prec@5 77.344 (75.163)
Epoch: [41][1660/14090]	Time 0.728 (0.771)	Data 0.001 (0.004)	Loss 2.2075 (2.2007)	Prec@1 37.500 (44.575)	Prec@5 75.000 (75.150)
Epoch: [41][1670/14090]	Time 0.833 (0.771)	Data 0.001 (0.004)	Loss 2.1392 (2.2007)	Prec@1 49.219 (44.583)	Prec@5 72.656 (75.144)
Epoch: [41][1680/14090]	Time 0.773 (0.771)	Data 0.001 (0.004)	Loss 2.3515 (2.2004)	Prec@1 41.406 (44.584)	Prec@5 71.094 (75.153)
Epoch: [41][1690/14090]	Time 0.786 (0.771)	Data 0.001 (0.004)	Loss 2.0584 (2.2001)	Prec@1 50.000 (44.587)	Prec@5 79.688 (75.168)
Epoch: [41][1700/14090]	Time 0.725 (0.771)	Data 0.001 (0.004)	Loss 2.5005 (2.2005)	Prec@1 46.094 (44.576)	Prec@5 69.531 (75.164)
Epoch: [41][1710/14090]	Time 0.742 (0.771)	Data 0.001 (0.004)	Loss 2.2772 (2.2010)	Prec@1 41.406 (44.569)	Prec@5 74.219 (75.155)
Epoch: [41][1720/14090]	Time 0.729 (0.771)	Data 0.001 (0.004)	Loss 2.3098 (2.2012)	Prec@1 39.062 (44.562)	Prec@5 77.344 (75.160)
Epoch: [41][1730/14090]	Time 0.758 (0.771)	Data 0.001 (0.004)	Loss 2.2695 (2.2018)	Prec@1 42.188 (44.550)	Prec@5 75.000 (75.149)
Epoch: [41][1740/14090]	Time 1.054 (0.771)	Data 0.001 (0.004)	Loss 2.0997 (2.2020)	Prec@1 41.406 (44.546)	Prec@5 76.562 (75.138)
Epoch: [41][1750/14090]	Time 0.785 (0.771)	Data 0.001 (0.004)	Loss 2.3575 (2.2015)	Prec@1 45.312 (44.565)	Prec@5 69.531 (75.141)
Epoch: [41][1760/14090]	Time 0.755 (0.771)	Data 0.002 (0.004)	Loss 1.8411 (2.2013)	Prec@1 49.219 (44.562)	Prec@5 79.688 (75.152)
Epoch: [41][1770/14090]	Time 0.735 (0.771)	Data 0.001 (0.004)	Loss 2.2695 (2.2013)	Prec@1 42.188 (44.563)	Prec@5 75.000 (75.151)
Epoch: [41][1780/14090]	Time 0.756 (0.771)	Data 0.001 (0.004)	Loss 2.1481 (2.2016)	Prec@1 46.094 (44.550)	Prec@5 75.000 (75.143)
Epoch: [41][1790/14090]	Time 0.727 (0.771)	Data 0.001 (0.004)	Loss 2.1185 (2.2014)	Prec@1 43.750 (44.553)	Prec@5 74.219 (75.145)
Epoch: [41][1800/14090]	Time 0.744 (0.771)	Data 0.001 (0.004)	Loss 2.2009 (2.2018)	Prec@1 46.875 (44.550)	Prec@5 70.312 (75.137)
Epoch: [41][1810/14090]	Time 0.884 (0.771)	Data 0.001 (0.004)	Loss 2.4543 (2.2020)	Prec@1 38.281 (44.546)	Prec@5 67.969 (75.137)
Epoch: [41][1820/14090]	Time 0.730 (0.771)	Data 0.001 (0.004)	Loss 2.1130 (2.2022)	Prec@1 44.531 (44.534)	Prec@5 71.875 (75.131)
Epoch: [41][1830/14090]	Time 0.747 (0.770)	Data 0.001 (0.004)	Loss 2.2773 (2.2023)	Prec@1 45.312 (44.540)	Prec@5 73.438 (75.133)
Epoch: [41][1840/14090]	Time 0.747 (0.770)	Data 0.003 (0.004)	Loss 2.2519 (2.2021)	Prec@1 44.531 (44.543)	Prec@5 73.438 (75.134)
Epoch: [41][1850/14090]	Time 0.746 (0.771)	Data 0.001 (0.004)	Loss 2.3417 (2.2028)	Prec@1 42.969 (44.536)	Prec@5 72.656 (75.122)
Epoch: [41][1860/14090]	Time 0.751 (0.771)	Data 0.001 (0.004)	Loss 1.9190 (2.2028)	Prec@1 54.688 (44.538)	Prec@5 81.250 (75.126)
Epoch: [41][1870/14090]	Time 0.754 (0.770)	Data 0.001 (0.004)	Loss 2.1114 (2.2024)	Prec@1 52.344 (44.540)	Prec@5 78.125 (75.136)
Epoch: [41][1880/14090]	Time 0.843 (0.770)	Data 0.001 (0.003)	Loss 2.1454 (2.2025)	Prec@1 42.969 (44.536)	Prec@5 77.344 (75.135)
Epoch: [41][1890/14090]	Time 0.760 (0.770)	Data 0.001 (0.003)	Loss 2.1918 (2.2027)	Prec@1 42.188 (44.529)	Prec@5 74.219 (75.126)
Epoch: [41][1900/14090]	Time 0.770 (0.770)	Data 0.001 (0.003)	Loss 2.1998 (2.2026)	Prec@1 41.406 (44.530)	Prec@5 75.781 (75.126)
Epoch: [41][1910/14090]	Time 0.726 (0.770)	Data 0.001 (0.003)	Loss 2.5675 (2.2028)	Prec@1 37.500 (44.530)	Prec@5 68.750 (75.120)
Epoch: [41][1920/14090]	Time 0.726 (0.770)	Data 0.001 (0.003)	Loss 2.2535 (2.2030)	Prec@1 42.188 (44.525)	Prec@5 73.438 (75.120)
Epoch: [41][1930/14090]	Time 0.752 (0.770)	Data 0.001 (0.003)	Loss 2.4505 (2.2031)	Prec@1 39.062 (44.525)	Prec@5 71.875 (75.121)
Epoch: [41][1940/14090]	Time 0.749 (0.770)	Data 0.001 (0.003)	Loss 2.5135 (2.2035)	Prec@1 33.594 (44.513)	Prec@5 69.531 (75.111)
Epoch: [41][1950/14090]	Time 0.883 (0.770)	Data 0.001 (0.003)	Loss 2.4305 (2.2031)	Prec@1 35.938 (44.525)	Prec@5 71.875 (75.110)
Epoch: [41][1960/14090]	Time 0.736 (0.770)	Data 0.001 (0.003)	Loss 2.2389 (2.2029)	Prec@1 49.219 (44.534)	Prec@5 73.438 (75.118)
Epoch: [41][1970/14090]	Time 0.738 (0.770)	Data 0.001 (0.003)	Loss 2.1547 (2.2036)	Prec@1 47.656 (44.517)	Prec@5 74.219 (75.104)
Epoch: [41][1980/14090]	Time 0.746 (0.770)	Data 0.001 (0.003)	Loss 1.9667 (2.2036)	Prec@1 46.875 (44.521)	Prec@5 79.688 (75.106)
Epoch: [41][1990/14090]	Time 0.739 (0.770)	Data 0.001 (0.003)	Loss 2.1521 (2.2033)	Prec@1 46.094 (44.528)	Prec@5 76.562 (75.111)
Epoch: [41][2000/14090]	Time 0.742 (0.770)	Data 0.001 (0.003)	Loss 1.9613 (2.2033)	Prec@1 50.781 (44.532)	Prec@5 81.250 (75.112)
Epoch: [41][2010/14090]	Time 0.759 (0.770)	Data 0.001 (0.003)	Loss 2.0451 (2.2032)	Prec@1 46.094 (44.541)	Prec@5 79.688 (75.113)
Epoch: [41][2020/14090]	Time 0.877 (0.770)	Data 0.001 (0.003)	Loss 2.5737 (2.2036)	Prec@1 34.375 (44.532)	Prec@5 66.406 (75.099)
Epoch: [41][2030/14090]	Time 0.738 (0.770)	Data 0.001 (0.003)	Loss 2.3469 (2.2033)	Prec@1 44.531 (44.532)	Prec@5 71.875 (75.106)
Epoch: [41][2040/14090]	Time 0.737 (0.770)	Data 0.001 (0.003)	Loss 2.4286 (2.2031)	Prec@1 42.969 (44.539)	Prec@5 69.531 (75.114)
Epoch: [41][2050/14090]	Time 0.764 (0.770)	Data 0.002 (0.003)	Loss 2.0133 (2.2030)	Prec@1 49.219 (44.544)	Prec@5 79.688 (75.120)
Epoch: [41][2060/14090]	Time 0.744 (0.770)	Data 0.001 (0.003)	Loss 2.2374 (2.2028)	Prec@1 42.188 (44.548)	Prec@5 76.562 (75.124)
Epoch: [41][2070/14090]	Time 0.751 (0.770)	Data 0.001 (0.003)	Loss 2.1480 (2.2028)	Prec@1 50.781 (44.551)	Prec@5 74.219 (75.117)
Epoch: [41][2080/14090]	Time 0.770 (0.770)	Data 0.001 (0.003)	Loss 2.0377 (2.2028)	Prec@1 53.125 (44.554)	Prec@5 76.562 (75.121)
Epoch: [41][2090/14090]	Time 0.877 (0.770)	Data 0.001 (0.003)	Loss 2.0932 (2.2028)	Prec@1 47.656 (44.549)	Prec@5 75.000 (75.119)
Epoch: [41][2100/14090]	Time 0.747 (0.770)	Data 0.001 (0.003)	Loss 2.2484 (2.2030)	Prec@1 42.969 (44.545)	Prec@5 73.438 (75.119)
Epoch: [41][2110/14090]	Time 0.739 (0.770)	Data 0.001 (0.003)	Loss 2.2193 (2.2031)	Prec@1 39.062 (44.543)	Prec@5 75.781 (75.120)
Epoch: [41][2120/14090]	Time 0.763 (0.770)	Data 0.001 (0.003)	Loss 2.2521 (2.2026)	Prec@1 46.094 (44.559)	Prec@5 77.344 (75.131)
Epoch: [41][2130/14090]	Time 0.739 (0.770)	Data 0.001 (0.003)	Loss 2.4018 (2.2028)	Prec@1 38.281 (44.557)	Prec@5 68.750 (75.122)
Epoch: [41][2140/14090]	Time 0.730 (0.770)	Data 0.001 (0.003)	Loss 2.2108 (2.2029)	Prec@1 46.875 (44.554)	Prec@5 77.344 (75.118)
Epoch: [41][2150/14090]	Time 0.737 (0.770)	Data 0.001 (0.003)	Loss 2.0590 (2.2027)	Prec@1 46.875 (44.558)	Prec@5 78.906 (75.118)
Epoch: [41][2160/14090]	Time 0.827 (0.770)	Data 0.001 (0.003)	Loss 2.1989 (2.2028)	Prec@1 43.750 (44.560)	Prec@5 75.000 (75.119)
Epoch: [41][2170/14090]	Time 0.729 (0.770)	Data 0.001 (0.003)	Loss 2.1595 (2.2023)	Prec@1 44.531 (44.567)	Prec@5 75.781 (75.129)
Epoch: [41][2180/14090]	Time 0.752 (0.770)	Data 0.001 (0.003)	Loss 1.9948 (2.2022)	Prec@1 51.562 (44.562)	Prec@5 78.125 (75.133)
Epoch: [41][2190/14090]	Time 0.780 (0.770)	Data 0.001 (0.003)	Loss 2.1656 (2.2024)	Prec@1 49.219 (44.562)	Prec@5 73.438 (75.134)
Epoch: [41][2200/14090]	Time 0.747 (0.770)	Data 0.001 (0.003)	Loss 2.2331 (2.2024)	Prec@1 46.094 (44.560)	Prec@5 75.781 (75.135)
Epoch: [41][2210/14090]	Time 0.763 (0.770)	Data 0.001 (0.003)	Loss 2.3604 (2.2029)	Prec@1 45.312 (44.554)	Prec@5 67.969 (75.126)
Epoch: [41][2220/14090]	Time 0.768 (0.770)	Data 0.001 (0.003)	Loss 2.3022 (2.2028)	Prec@1 46.875 (44.555)	Prec@5 68.750 (75.126)
Epoch: [41][2230/14090]	Time 0.846 (0.770)	Data 0.001 (0.003)	Loss 2.0897 (2.2027)	Prec@1 46.875 (44.559)	Prec@5 78.906 (75.130)
Epoch: [41][2240/14090]	Time 0.744 (0.770)	Data 0.001 (0.003)	Loss 2.3042 (2.2028)	Prec@1 45.312 (44.563)	Prec@5 71.094 (75.126)
Epoch: [41][2250/14090]	Time 0.752 (0.770)	Data 0.001 (0.003)	Loss 2.1063 (2.2028)	Prec@1 44.531 (44.565)	Prec@5 76.562 (75.120)
Epoch: [41][2260/14090]	Time 0.725 (0.770)	Data 0.001 (0.003)	Loss 2.0028 (2.2029)	Prec@1 49.219 (44.565)	Prec@5 76.562 (75.115)
Epoch: [41][2270/14090]	Time 0.763 (0.770)	Data 0.001 (0.003)	Loss 2.1915 (2.2024)	Prec@1 49.219 (44.573)	Prec@5 68.750 (75.119)
Epoch: [41][2280/14090]	Time 0.769 (0.770)	Data 0.001 (0.003)	Loss 2.1348 (2.2024)	Prec@1 51.562 (44.568)	Prec@5 75.781 (75.123)
Epoch: [41][2290/14090]	Time 0.741 (0.770)	Data 0.001 (0.003)	Loss 2.2513 (2.2025)	Prec@1 42.969 (44.568)	Prec@5 72.656 (75.121)
Epoch: [41][2300/14090]	Time 0.847 (0.770)	Data 0.001 (0.003)	Loss 2.2657 (2.2023)	Prec@1 47.656 (44.576)	Prec@5 71.875 (75.123)
Epoch: [41][2310/14090]	Time 0.769 (0.770)	Data 0.001 (0.003)	Loss 2.0089 (2.2019)	Prec@1 46.875 (44.587)	Prec@5 76.562 (75.130)
Epoch: [41][2320/14090]	Time 0.726 (0.770)	Data 0.001 (0.003)	Loss 1.8586 (2.2019)	Prec@1 53.906 (44.589)	Prec@5 80.469 (75.132)
Epoch: [41][2330/14090]	Time 0.766 (0.770)	Data 0.001 (0.003)	Loss 2.4437 (2.2022)	Prec@1 38.281 (44.580)	Prec@5 71.094 (75.128)
Epoch: [41][2340/14090]	Time 0.745 (0.770)	Data 0.001 (0.003)	Loss 2.3562 (2.2023)	Prec@1 42.969 (44.573)	Prec@5 70.312 (75.129)
Epoch: [41][2350/14090]	Time 0.768 (0.769)	Data 0.001 (0.003)	Loss 2.2783 (2.2024)	Prec@1 43.750 (44.567)	Prec@5 76.562 (75.134)
Epoch: [41][2360/14090]	Time 0.756 (0.769)	Data 0.001 (0.003)	Loss 1.8349 (2.2020)	Prec@1 49.219 (44.570)	Prec@5 82.812 (75.136)
Epoch: [41][2370/14090]	Time 0.844 (0.769)	Data 0.001 (0.003)	Loss 2.3524 (2.2023)	Prec@1 39.844 (44.564)	Prec@5 67.969 (75.135)
Epoch: [41][2380/14090]	Time 0.727 (0.769)	Data 0.001 (0.003)	Loss 2.3231 (2.2025)	Prec@1 35.156 (44.553)	Prec@5 72.656 (75.130)
Epoch: [41][2390/14090]	Time 0.736 (0.769)	Data 0.001 (0.003)	Loss 1.9833 (2.2025)	Prec@1 39.062 (44.545)	Prec@5 78.125 (75.128)
Epoch: [41][2400/14090]	Time 0.735 (0.769)	Data 0.001 (0.003)	Loss 2.0552 (2.2028)	Prec@1 42.969 (44.545)	Prec@5 74.219 (75.119)
Epoch: [41][2410/14090]	Time 0.734 (0.769)	Data 0.001 (0.003)	Loss 2.3260 (2.2029)	Prec@1 37.500 (44.542)	Prec@5 76.562 (75.117)
Epoch: [41][2420/14090]	Time 0.754 (0.769)	Data 0.001 (0.003)	Loss 2.3079 (2.2031)	Prec@1 40.625 (44.536)	Prec@5 75.781 (75.112)
Epoch: [41][2430/14090]	Time 0.742 (0.769)	Data 0.001 (0.003)	Loss 2.5098 (2.2031)	Prec@1 32.812 (44.534)	Prec@5 68.750 (75.108)
Epoch: [41][2440/14090]	Time 0.868 (0.769)	Data 0.001 (0.003)	Loss 2.1194 (2.2033)	Prec@1 46.094 (44.529)	Prec@5 75.781 (75.107)
Epoch: [41][2450/14090]	Time 0.733 (0.769)	Data 0.001 (0.003)	Loss 2.4455 (2.2034)	Prec@1 39.062 (44.526)	Prec@5 67.188 (75.102)
Epoch: [41][2460/14090]	Time 0.759 (0.769)	Data 0.001 (0.003)	Loss 2.1708 (2.2037)	Prec@1 47.656 (44.525)	Prec@5 75.781 (75.100)
Epoch: [41][2470/14090]	Time 0.747 (0.769)	Data 0.001 (0.003)	Loss 2.1223 (2.2039)	Prec@1 48.438 (44.525)	Prec@5 75.000 (75.096)
Epoch: [41][2480/14090]	Time 0.741 (0.769)	Data 0.001 (0.003)	Loss 2.1835 (2.2043)	Prec@1 44.531 (44.514)	Prec@5 73.438 (75.092)
Epoch: [41][2490/14090]	Time 0.733 (0.769)	Data 0.001 (0.003)	Loss 2.0310 (2.2043)	Prec@1 46.094 (44.513)	Prec@5 78.125 (75.094)
Epoch: [41][2500/14090]	Time 0.763 (0.769)	Data 0.001 (0.003)	Loss 2.4133 (2.2047)	Prec@1 41.406 (44.500)	Prec@5 71.094 (75.085)
Epoch: [41][2510/14090]	Time 0.826 (0.769)	Data 0.001 (0.003)	Loss 2.1492 (2.2048)	Prec@1 46.094 (44.500)	Prec@5 72.656 (75.081)
Epoch: [41][2520/14090]	Time 0.735 (0.769)	Data 0.001 (0.003)	Loss 2.3754 (2.2047)	Prec@1 39.844 (44.503)	Prec@5 78.125 (75.086)
Epoch: [41][2530/14090]	Time 0.747 (0.769)	Data 0.001 (0.003)	Loss 2.2642 (2.2046)	Prec@1 46.094 (44.507)	Prec@5 75.000 (75.091)
Epoch: [41][2540/14090]	Time 0.737 (0.769)	Data 0.001 (0.003)	Loss 2.6886 (2.2045)	Prec@1 39.062 (44.507)	Prec@5 67.969 (75.098)
Epoch: [41][2550/14090]	Time 0.746 (0.769)	Data 0.001 (0.003)	Loss 2.0386 (2.2043)	Prec@1 46.875 (44.513)	Prec@5 78.125 (75.108)
Epoch: [41][2560/14090]	Time 0.731 (0.769)	Data 0.001 (0.003)	Loss 2.0777 (2.2042)	Prec@1 42.188 (44.517)	Prec@5 80.469 (75.112)
Epoch: [41][2570/14090]	Time 0.745 (0.769)	Data 0.001 (0.003)	Loss 2.3320 (2.2040)	Prec@1 39.844 (44.515)	Prec@5 71.875 (75.116)
Epoch: [41][2580/14090]	Time 1.053 (0.769)	Data 0.001 (0.003)	Loss 1.8686 (2.2039)	Prec@1 51.562 (44.520)	Prec@5 82.031 (75.120)
Epoch: [41][2590/14090]	Time 0.737 (0.769)	Data 0.001 (0.003)	Loss 2.1698 (2.2041)	Prec@1 42.188 (44.514)	Prec@5 78.125 (75.118)
Epoch: [41][2600/14090]	Time 0.753 (0.769)	Data 0.001 (0.003)	Loss 1.8463 (2.2039)	Prec@1 49.219 (44.518)	Prec@5 82.031 (75.115)
Epoch: [41][2610/14090]	Time 0.759 (0.769)	Data 0.001 (0.003)	Loss 2.0489 (2.2041)	Prec@1 46.094 (44.515)	Prec@5 75.781 (75.108)
Epoch: [41][2620/14090]	Time 0.752 (0.769)	Data 0.001 (0.003)	Loss 2.1772 (2.2040)	Prec@1 46.875 (44.516)	Prec@5 74.219 (75.106)
Epoch: [41][2630/14090]	Time 0.755 (0.769)	Data 0.001 (0.003)	Loss 2.3531 (2.2041)	Prec@1 46.094 (44.516)	Prec@5 75.000 (75.109)
Epoch: [41][2640/14090]	Time 0.754 (0.769)	Data 0.001 (0.003)	Loss 2.3104 (2.2041)	Prec@1 42.188 (44.514)	Prec@5 69.531 (75.107)
Epoch: [41][2650/14090]	Time 0.839 (0.769)	Data 0.001 (0.003)	Loss 2.1949 (2.2039)	Prec@1 46.875 (44.514)	Prec@5 73.438 (75.109)
Epoch: [41][2660/14090]	Time 0.732 (0.769)	Data 0.001 (0.003)	Loss 2.2918 (2.2040)	Prec@1 44.531 (44.510)	Prec@5 70.312 (75.108)
Epoch: [41][2670/14090]	Time 0.734 (0.769)	Data 0.001 (0.003)	Loss 2.1914 (2.2039)	Prec@1 43.750 (44.507)	Prec@5 78.906 (75.111)
Epoch: [41][2680/14090]	Time 0.740 (0.769)	Data 0.001 (0.003)	Loss 1.9430 (2.2036)	Prec@1 53.125 (44.514)	Prec@5 80.469 (75.115)
Epoch: [41][2690/14090]	Time 0.740 (0.769)	Data 0.001 (0.003)	Loss 2.3263 (2.2039)	Prec@1 37.500 (44.502)	Prec@5 75.000 (75.107)
Epoch: [41][2700/14090]	Time 0.752 (0.769)	Data 0.001 (0.003)	Loss 1.9656 (2.2037)	Prec@1 56.250 (44.508)	Prec@5 77.344 (75.109)
Epoch: [41][2710/14090]	Time 0.750 (0.769)	Data 0.001 (0.003)	Loss 1.8791 (2.2035)	Prec@1 49.219 (44.514)	Prec@5 79.688 (75.112)
Epoch: [41][2720/14090]	Time 0.989 (0.769)	Data 0.001 (0.003)	Loss 2.0361 (2.2037)	Prec@1 47.656 (44.506)	Prec@5 79.688 (75.111)
Epoch: [41][2730/14090]	Time 0.752 (0.769)	Data 0.001 (0.003)	Loss 2.2249 (2.2039)	Prec@1 45.312 (44.504)	Prec@5 75.781 (75.110)
Epoch: [41][2740/14090]	Time 0.744 (0.769)	Data 0.001 (0.003)	Loss 2.0719 (2.2038)	Prec@1 45.312 (44.504)	Prec@5 78.125 (75.113)
Epoch: [41][2750/14090]	Time 0.718 (0.769)	Data 0.001 (0.003)	Loss 2.2456 (2.2039)	Prec@1 46.094 (44.507)	Prec@5 75.781 (75.112)
Epoch: [41][2760/14090]	Time 0.744 (0.769)	Data 0.001 (0.003)	Loss 2.3453 (2.2037)	Prec@1 38.281 (44.511)	Prec@5 67.969 (75.115)
Epoch: [41][2770/14090]	Time 0.730 (0.769)	Data 0.001 (0.003)	Loss 2.3245 (2.2040)	Prec@1 43.750 (44.515)	Prec@5 72.656 (75.109)
Epoch: [41][2780/14090]	Time 0.760 (0.769)	Data 0.002 (0.003)	Loss 2.6377 (2.2042)	Prec@1 35.156 (44.508)	Prec@5 69.531 (75.103)
Epoch: [41][2790/14090]	Time 0.840 (0.769)	Data 0.001 (0.003)	Loss 2.5351 (2.2040)	Prec@1 42.969 (44.514)	Prec@5 67.969 (75.106)
Epoch: [41][2800/14090]	Time 0.744 (0.769)	Data 0.001 (0.003)	Loss 2.1098 (2.2040)	Prec@1 47.656 (44.521)	Prec@5 77.344 (75.103)
Epoch: [41][2810/14090]	Time 0.765 (0.769)	Data 0.001 (0.003)	Loss 2.3132 (2.2040)	Prec@1 38.281 (44.520)	Prec@5 76.562 (75.099)
Epoch: [41][2820/14090]	Time 0.743 (0.769)	Data 0.001 (0.003)	Loss 2.0957 (2.2041)	Prec@1 50.000 (44.518)	Prec@5 77.344 (75.102)
Epoch: [41][2830/14090]	Time 0.731 (0.769)	Data 0.001 (0.003)	Loss 2.2434 (2.2044)	Prec@1 45.312 (44.512)	Prec@5 75.781 (75.097)
Epoch: [41][2840/14090]	Time 0.749 (0.769)	Data 0.001 (0.003)	Loss 2.4829 (2.2042)	Prec@1 43.750 (44.521)	Prec@5 68.750 (75.096)
Epoch: [41][2850/14090]	Time 0.727 (0.769)	Data 0.001 (0.003)	Loss 2.1628 (2.2042)	Prec@1 43.750 (44.516)	Prec@5 74.219 (75.099)
Epoch: [41][2860/14090]	Time 0.857 (0.769)	Data 0.001 (0.003)	Loss 2.2679 (2.2042)	Prec@1 44.531 (44.520)	Prec@5 78.125 (75.100)
Epoch: [41][2870/14090]	Time 0.751 (0.769)	Data 0.002 (0.003)	Loss 1.9720 (2.2040)	Prec@1 49.219 (44.529)	Prec@5 82.812 (75.105)
Epoch: [41][2880/14090]	Time 0.765 (0.769)	Data 0.001 (0.003)	Loss 2.0167 (2.2040)	Prec@1 50.000 (44.530)	Prec@5 78.125 (75.104)
Epoch: [41][2890/14090]	Time 0.744 (0.769)	Data 0.001 (0.003)	Loss 2.1341 (2.2042)	Prec@1 43.750 (44.525)	Prec@5 77.344 (75.105)
Epoch: [41][2900/14090]	Time 0.758 (0.769)	Data 0.001 (0.003)	Loss 2.3447 (2.2044)	Prec@1 40.625 (44.519)	Prec@5 75.000 (75.103)
Epoch: [41][2910/14090]	Time 0.761 (0.769)	Data 0.001 (0.003)	Loss 2.2623 (2.2047)	Prec@1 44.531 (44.509)	Prec@5 74.219 (75.101)
Epoch: [41][2920/14090]	Time 0.739 (0.769)	Data 0.001 (0.003)	Loss 2.2352 (2.2046)	Prec@1 46.094 (44.519)	Prec@5 71.875 (75.103)
Epoch: [41][2930/14090]	Time 0.874 (0.769)	Data 0.001 (0.003)	Loss 2.4535 (2.2046)	Prec@1 39.844 (44.518)	Prec@5 74.219 (75.098)
Epoch: [41][2940/14090]	Time 0.757 (0.769)	Data 0.001 (0.003)	Loss 2.1930 (2.2047)	Prec@1 46.875 (44.517)	Prec@5 72.656 (75.097)
Epoch: [41][2950/14090]	Time 0.737 (0.769)	Data 0.001 (0.003)	Loss 2.0902 (2.2046)	Prec@1 44.531 (44.512)	Prec@5 75.000 (75.097)
Epoch: [41][2960/14090]	Time 0.746 (0.769)	Data 0.001 (0.003)	Loss 2.0616 (2.2046)	Prec@1 51.562 (44.516)	Prec@5 76.562 (75.098)
Epoch: [41][2970/14090]	Time 0.731 (0.769)	Data 0.001 (0.003)	Loss 2.4040 (2.2048)	Prec@1 40.625 (44.516)	Prec@5 69.531 (75.092)
Epoch: [41][2980/14090]	Time 0.760 (0.769)	Data 0.001 (0.003)	Loss 2.1477 (2.2046)	Prec@1 41.406 (44.520)	Prec@5 70.312 (75.092)
Epoch: [41][2990/14090]	Time 0.749 (0.769)	Data 0.001 (0.003)	Loss 2.4558 (2.2048)	Prec@1 37.500 (44.515)	Prec@5 71.094 (75.089)
Epoch: [41][3000/14090]	Time 0.865 (0.769)	Data 0.001 (0.002)	Loss 2.1509 (2.2049)	Prec@1 46.875 (44.513)	Prec@5 75.000 (75.090)
Epoch: [41][3010/14090]	Time 0.758 (0.769)	Data 0.001 (0.002)	Loss 2.1676 (2.2048)	Prec@1 46.094 (44.511)	Prec@5 78.906 (75.094)
Epoch: [41][3020/14090]	Time 0.738 (0.769)	Data 0.001 (0.002)	Loss 2.1259 (2.2047)	Prec@1 45.312 (44.513)	Prec@5 77.344 (75.093)
Epoch: [41][3030/14090]	Time 0.753 (0.769)	Data 0.001 (0.002)	Loss 2.1656 (2.2046)	Prec@1 47.656 (44.512)	Prec@5 73.438 (75.090)
Epoch: [41][3040/14090]	Time 0.728 (0.769)	Data 0.001 (0.002)	Loss 2.2545 (2.2049)	Prec@1 34.375 (44.499)	Prec@5 75.000 (75.085)
Epoch: [41][3050/14090]	Time 0.790 (0.769)	Data 0.001 (0.002)	Loss 2.3376 (2.2050)	Prec@1 46.094 (44.501)	Prec@5 68.750 (75.084)
Epoch: [41][3060/14090]	Time 0.758 (0.769)	Data 0.001 (0.002)	Loss 2.1774 (2.2052)	Prec@1 47.656 (44.498)	Prec@5 74.219 (75.079)
Epoch: [41][3070/14090]	Time 0.880 (0.769)	Data 0.001 (0.002)	Loss 1.8332 (2.2052)	Prec@1 51.562 (44.500)	Prec@5 81.250 (75.080)
Epoch: [41][3080/14090]	Time 0.731 (0.769)	Data 0.001 (0.002)	Loss 2.2978 (2.2053)	Prec@1 44.531 (44.498)	Prec@5 74.219 (75.080)
Epoch: [41][3090/14090]	Time 0.731 (0.769)	Data 0.001 (0.002)	Loss 2.1348 (2.2050)	Prec@1 40.625 (44.504)	Prec@5 78.125 (75.084)
Epoch: [41][3100/14090]	Time 0.727 (0.769)	Data 0.001 (0.002)	Loss 2.3164 (2.2051)	Prec@1 39.844 (44.504)	Prec@5 70.312 (75.083)
Epoch: [41][3110/14090]	Time 0.753 (0.769)	Data 0.001 (0.002)	Loss 2.2666 (2.2050)	Prec@1 38.281 (44.502)	Prec@5 72.656 (75.085)
Epoch: [41][3120/14090]	Time 0.763 (0.769)	Data 0.001 (0.002)	Loss 2.0247 (2.2052)	Prec@1 45.312 (44.492)	Prec@5 78.906 (75.086)
Epoch: [41][3130/14090]	Time 0.735 (0.769)	Data 0.001 (0.002)	Loss 2.0128 (2.2055)	Prec@1 51.562 (44.487)	Prec@5 78.906 (75.082)
Epoch: [41][3140/14090]	Time 0.844 (0.769)	Data 0.001 (0.002)	Loss 1.9452 (2.2058)	Prec@1 43.750 (44.481)	Prec@5 80.469 (75.077)
Epoch: [41][3150/14090]	Time 0.754 (0.769)	Data 0.001 (0.002)	Loss 1.9827 (2.2061)	Prec@1 52.344 (44.477)	Prec@5 78.906 (75.071)
Epoch: [41][3160/14090]	Time 0.737 (0.769)	Data 0.001 (0.002)	Loss 2.3096 (2.2061)	Prec@1 41.406 (44.476)	Prec@5 72.656 (75.071)
Epoch: [41][3170/14090]	Time 0.757 (0.769)	Data 0.001 (0.002)	Loss 2.3436 (2.2063)	Prec@1 41.406 (44.466)	Prec@5 68.750 (75.066)
Epoch: [41][3180/14090]	Time 0.727 (0.769)	Data 0.001 (0.002)	Loss 2.2681 (2.2062)	Prec@1 42.188 (44.468)	Prec@5 75.781 (75.071)
Epoch: [41][3190/14090]	Time 0.735 (0.769)	Data 0.001 (0.002)	Loss 2.1003 (2.2062)	Prec@1 49.219 (44.470)	Prec@5 75.781 (75.072)
Epoch: [41][3200/14090]	Time 0.769 (0.769)	Data 0.001 (0.002)	Loss 2.3931 (2.2064)	Prec@1 40.625 (44.468)	Prec@5 72.656 (75.068)
Epoch: [41][3210/14090]	Time 0.862 (0.769)	Data 0.001 (0.002)	Loss 2.2612 (2.2064)	Prec@1 44.531 (44.471)	Prec@5 75.000 (75.064)
Epoch: [41][3220/14090]	Time 0.745 (0.769)	Data 0.001 (0.002)	Loss 2.0132 (2.2065)	Prec@1 54.688 (44.474)	Prec@5 79.688 (75.061)
Epoch: [41][3230/14090]	Time 0.753 (0.769)	Data 0.001 (0.002)	Loss 2.0818 (2.2065)	Prec@1 39.844 (44.471)	Prec@5 78.906 (75.064)
Epoch: [41][3240/14090]	Time 0.733 (0.769)	Data 0.001 (0.002)	Loss 2.0715 (2.2063)	Prec@1 43.750 (44.477)	Prec@5 80.469 (75.066)
Epoch: [41][3250/14090]	Time 0.753 (0.769)	Data 0.001 (0.002)	Loss 2.0747 (2.2063)	Prec@1 51.562 (44.474)	Prec@5 75.000 (75.067)
Epoch: [41][3260/14090]	Time 0.723 (0.769)	Data 0.001 (0.002)	Loss 2.0815 (2.2063)	Prec@1 42.969 (44.472)	Prec@5 79.688 (75.068)
Epoch: [41][3270/14090]	Time 0.747 (0.769)	Data 0.001 (0.002)	Loss 2.2460 (2.2064)	Prec@1 42.969 (44.471)	Prec@5 73.438 (75.066)
Epoch: [41][3280/14090]	Time 0.984 (0.769)	Data 0.001 (0.002)	Loss 2.1553 (2.2064)	Prec@1 50.781 (44.472)	Prec@5 77.344 (75.064)
Epoch: [41][3290/14090]	Time 0.729 (0.769)	Data 0.001 (0.002)	Loss 1.9823 (2.2064)	Prec@1 46.875 (44.466)	Prec@5 75.000 (75.062)
Epoch: [41][3300/14090]	Time 0.759 (0.769)	Data 0.001 (0.002)	Loss 2.2017 (2.2065)	Prec@1 44.531 (44.457)	Prec@5 71.875 (75.057)
Epoch: [41][3310/14090]	Time 0.740 (0.769)	Data 0.001 (0.002)	Loss 2.1555 (2.2066)	Prec@1 48.438 (44.454)	Prec@5 75.000 (75.053)
Epoch: [41][3320/14090]	Time 0.730 (0.768)	Data 0.001 (0.002)	Loss 2.3382 (2.2065)	Prec@1 46.094 (44.456)	Prec@5 71.875 (75.054)
Epoch: [41][3330/14090]	Time 0.768 (0.769)	Data 0.001 (0.002)	Loss 2.4623 (2.2066)	Prec@1 41.406 (44.459)	Prec@5 64.062 (75.052)
Epoch: [41][3340/14090]	Time 0.744 (0.768)	Data 0.001 (0.002)	Loss 2.2400 (2.2067)	Prec@1 44.531 (44.457)	Prec@5 74.219 (75.047)
Epoch: [41][3350/14090]	Time 0.856 (0.768)	Data 0.001 (0.002)	Loss 2.3198 (2.2066)	Prec@1 45.312 (44.462)	Prec@5 74.219 (75.050)
Epoch: [41][3360/14090]	Time 0.750 (0.768)	Data 0.001 (0.002)	Loss 2.1376 (2.2066)	Prec@1 45.312 (44.457)	Prec@5 76.562 (75.051)
Epoch: [41][3370/14090]	Time 0.759 (0.768)	Data 0.001 (0.002)	Loss 1.8982 (2.2061)	Prec@1 49.219 (44.463)	Prec@5 81.250 (75.064)
Epoch: [41][3380/14090]	Time 0.725 (0.768)	Data 0.001 (0.002)	Loss 1.8747 (2.2062)	Prec@1 50.000 (44.460)	Prec@5 82.031 (75.063)
Epoch: [41][3390/14090]	Time 0.750 (0.769)	Data 0.001 (0.002)	Loss 2.4631 (2.2064)	Prec@1 45.312 (44.458)	Prec@5 69.531 (75.058)
Epoch: [41][3400/14090]	Time 0.758 (0.769)	Data 0.001 (0.002)	Loss 2.1799 (2.2062)	Prec@1 41.406 (44.462)	Prec@5 72.656 (75.059)
Epoch: [41][3410/14090]	Time 0.750 (0.769)	Data 0.001 (0.002)	Loss 2.0870 (2.2061)	Prec@1 47.656 (44.463)	Prec@5 78.906 (75.062)
Epoch: [41][3420/14090]	Time 0.878 (0.768)	Data 0.001 (0.002)	Loss 2.2193 (2.2061)	Prec@1 46.094 (44.460)	Prec@5 75.781 (75.062)
Epoch: [41][3430/14090]	Time 0.748 (0.768)	Data 0.001 (0.002)	Loss 2.2951 (2.2063)	Prec@1 44.531 (44.454)	Prec@5 76.562 (75.061)
Epoch: [41][3440/14090]	Time 0.750 (0.768)	Data 0.001 (0.002)	Loss 2.0561 (2.2064)	Prec@1 48.438 (44.455)	Prec@5 78.906 (75.058)
Epoch: [41][3450/14090]	Time 0.763 (0.768)	Data 0.001 (0.002)	Loss 2.2255 (2.2066)	Prec@1 39.844 (44.450)	Prec@5 74.219 (75.056)
Epoch: [41][3460/14090]	Time 0.784 (0.768)	Data 0.001 (0.002)	Loss 2.3415 (2.2066)	Prec@1 39.844 (44.449)	Prec@5 72.656 (75.057)
Epoch: [41][3470/14090]	Time 0.776 (0.768)	Data 0.001 (0.002)	Loss 2.2322 (2.2067)	Prec@1 46.875 (44.448)	Prec@5 75.000 (75.057)
Epoch: [41][3480/14090]	Time 0.736 (0.768)	Data 0.001 (0.002)	Loss 2.2267 (2.2066)	Prec@1 41.406 (44.447)	Prec@5 75.781 (75.059)
Epoch: [41][3490/14090]	Time 0.847 (0.768)	Data 0.001 (0.002)	Loss 1.9951 (2.2064)	Prec@1 45.312 (44.445)	Prec@5 78.906 (75.065)
Epoch: [41][3500/14090]	Time 0.739 (0.768)	Data 0.001 (0.002)	Loss 2.3830 (2.2063)	Prec@1 37.500 (44.448)	Prec@5 72.656 (75.067)
Epoch: [41][3510/14090]	Time 0.771 (0.768)	Data 0.001 (0.002)	Loss 2.0856 (2.2061)	Prec@1 45.312 (44.454)	Prec@5 75.000 (75.072)
Epoch: [41][3520/14090]	Time 0.730 (0.768)	Data 0.001 (0.002)	Loss 2.0282 (2.2059)	Prec@1 48.438 (44.457)	Prec@5 79.688 (75.075)
Epoch: [41][3530/14090]	Time 0.769 (0.768)	Data 0.001 (0.002)	Loss 2.0614 (2.2060)	Prec@1 48.438 (44.457)	Prec@5 75.000 (75.076)
Epoch: [41][3540/14090]	Time 0.755 (0.768)	Data 0.001 (0.002)	Loss 2.6530 (2.2061)	Prec@1 33.594 (44.460)	Prec@5 65.625 (75.070)
Epoch: [41][3550/14090]	Time 0.773 (0.768)	Data 0.001 (0.002)	Loss 2.3214 (2.2061)	Prec@1 42.188 (44.461)	Prec@5 72.656 (75.070)
Epoch: [41][3560/14090]	Time 0.868 (0.768)	Data 0.001 (0.002)	Loss 2.0727 (2.2062)	Prec@1 53.125 (44.461)	Prec@5 75.000 (75.070)
Epoch: [41][3570/14090]	Time 0.757 (0.768)	Data 0.001 (0.002)	Loss 2.2891 (2.2061)	Prec@1 44.531 (44.464)	Prec@5 74.219 (75.073)
Epoch: [41][3580/14090]	Time 0.747 (0.768)	Data 0.001 (0.002)	Loss 2.1058 (2.2064)	Prec@1 50.000 (44.460)	Prec@5 78.125 (75.065)
Epoch: [41][3590/14090]	Time 0.748 (0.768)	Data 0.001 (0.002)	Loss 2.0771 (2.2064)	Prec@1 50.781 (44.461)	Prec@5 74.219 (75.062)
Epoch: [41][3600/14090]	Time 0.757 (0.768)	Data 0.001 (0.002)	Loss 2.0001 (2.2062)	Prec@1 53.125 (44.465)	Prec@5 74.219 (75.065)
Epoch: [41][3610/14090]	Time 0.763 (0.768)	Data 0.001 (0.002)	Loss 1.8589 (2.2061)	Prec@1 50.781 (44.464)	Prec@5 79.688 (75.068)
Epoch: [41][3620/14090]	Time 0.736 (0.768)	Data 0.001 (0.002)	Loss 2.1141 (2.2061)	Prec@1 49.219 (44.464)	Prec@5 74.219 (75.064)
Epoch: [41][3630/14090]	Time 0.878 (0.768)	Data 0.001 (0.002)	Loss 2.2100 (2.2060)	Prec@1 41.406 (44.465)	Prec@5 72.656 (75.069)
Epoch: [41][3640/14090]	Time 0.745 (0.768)	Data 0.001 (0.002)	Loss 2.3574 (2.2060)	Prec@1 42.188 (44.466)	Prec@5 71.094 (75.067)
Epoch: [41][3650/14090]	Time 0.725 (0.768)	Data 0.001 (0.002)	Loss 2.1176 (2.2064)	Prec@1 44.531 (44.460)	Prec@5 79.688 (75.062)
Epoch: [41][3660/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 2.2492 (2.2064)	Prec@1 37.500 (44.459)	Prec@5 74.219 (75.061)
Epoch: [41][3670/14090]	Time 0.752 (0.768)	Data 0.001 (0.002)	Loss 2.1767 (2.2063)	Prec@1 40.625 (44.459)	Prec@5 79.688 (75.066)
Epoch: [41][3680/14090]	Time 0.756 (0.768)	Data 0.001 (0.002)	Loss 2.5144 (2.2063)	Prec@1 39.844 (44.460)	Prec@5 67.188 (75.065)
Epoch: [41][3690/14090]	Time 0.763 (0.768)	Data 0.001 (0.002)	Loss 2.0798 (2.2061)	Prec@1 49.219 (44.464)	Prec@5 78.125 (75.071)
Epoch: [41][3700/14090]	Time 0.858 (0.768)	Data 0.001 (0.002)	Loss 1.9468 (2.2061)	Prec@1 48.438 (44.465)	Prec@5 79.688 (75.074)
Epoch: [41][3710/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 2.2237 (2.2061)	Prec@1 43.750 (44.469)	Prec@5 74.219 (75.070)
Epoch: [41][3720/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 2.1443 (2.2060)	Prec@1 46.875 (44.469)	Prec@5 76.562 (75.070)
Epoch: [41][3730/14090]	Time 0.754 (0.768)	Data 0.001 (0.002)	Loss 2.1434 (2.2059)	Prec@1 41.406 (44.471)	Prec@5 76.562 (75.074)
Epoch: [41][3740/14090]	Time 0.753 (0.768)	Data 0.001 (0.002)	Loss 2.0576 (2.2059)	Prec@1 46.875 (44.474)	Prec@5 72.656 (75.070)
Epoch: [41][3750/14090]	Time 0.761 (0.768)	Data 0.001 (0.002)	Loss 2.0843 (2.2061)	Prec@1 47.656 (44.471)	Prec@5 75.781 (75.068)
Epoch: [41][3760/14090]	Time 0.744 (0.768)	Data 0.001 (0.002)	Loss 2.3894 (2.2060)	Prec@1 37.500 (44.472)	Prec@5 71.094 (75.065)
Epoch: [41][3770/14090]	Time 0.857 (0.768)	Data 0.001 (0.002)	Loss 2.2362 (2.2059)	Prec@1 43.750 (44.476)	Prec@5 73.438 (75.064)
Epoch: [41][3780/14090]	Time 0.733 (0.768)	Data 0.001 (0.002)	Loss 2.1842 (2.2057)	Prec@1 46.875 (44.483)	Prec@5 75.000 (75.067)
Epoch: [41][3790/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 2.1193 (2.2059)	Prec@1 42.188 (44.480)	Prec@5 77.344 (75.064)
Epoch: [41][3800/14090]	Time 0.756 (0.768)	Data 0.001 (0.002)	Loss 1.9615 (2.2059)	Prec@1 50.000 (44.479)	Prec@5 80.469 (75.063)
Epoch: [41][3810/14090]	Time 0.778 (0.768)	Data 0.001 (0.002)	Loss 2.2704 (2.2058)	Prec@1 39.844 (44.480)	Prec@5 75.000 (75.067)
Epoch: [41][3820/14090]	Time 0.756 (0.768)	Data 0.001 (0.002)	Loss 2.1979 (2.2057)	Prec@1 46.875 (44.482)	Prec@5 72.656 (75.066)
Epoch: [41][3830/14090]	Time 0.724 (0.768)	Data 0.001 (0.002)	Loss 2.1047 (2.2055)	Prec@1 46.094 (44.484)	Prec@5 79.688 (75.071)
Epoch: [41][3840/14090]	Time 0.835 (0.768)	Data 0.001 (0.002)	Loss 2.2533 (2.2055)	Prec@1 40.625 (44.486)	Prec@5 68.750 (75.068)
Epoch: [41][3850/14090]	Time 0.749 (0.768)	Data 0.001 (0.002)	Loss 2.2410 (2.2053)	Prec@1 44.531 (44.488)	Prec@5 68.750 (75.069)
Epoch: [41][3860/14090]	Time 0.727 (0.768)	Data 0.001 (0.002)	Loss 1.9917 (2.2054)	Prec@1 48.438 (44.487)	Prec@5 81.250 (75.066)
Epoch: [41][3870/14090]	Time 0.747 (0.768)	Data 0.001 (0.002)	Loss 1.9500 (2.2052)	Prec@1 51.562 (44.488)	Prec@5 73.438 (75.068)
Epoch: [41][3880/14090]	Time 0.731 (0.768)	Data 0.001 (0.002)	Loss 2.2880 (2.2051)	Prec@1 41.406 (44.490)	Prec@5 73.438 (75.068)
Epoch: [41][3890/14090]	Time 0.749 (0.768)	Data 0.001 (0.002)	Loss 2.2448 (2.2054)	Prec@1 40.625 (44.484)	Prec@5 74.219 (75.064)
Epoch: [41][3900/14090]	Time 0.743 (0.768)	Data 0.001 (0.002)	Loss 2.0045 (2.2052)	Prec@1 50.000 (44.485)	Prec@5 78.125 (75.063)
Epoch: [41][3910/14090]	Time 0.874 (0.768)	Data 0.002 (0.002)	Loss 2.0959 (2.2054)	Prec@1 43.750 (44.481)	Prec@5 73.438 (75.063)
Epoch: [41][3920/14090]	Time 0.730 (0.768)	Data 0.001 (0.002)	Loss 2.2374 (2.2053)	Prec@1 47.656 (44.488)	Prec@5 75.000 (75.063)
Epoch: [41][3930/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 2.0080 (2.2053)	Prec@1 44.531 (44.488)	Prec@5 78.906 (75.065)
Epoch: [41][3940/14090]	Time 0.739 (0.768)	Data 0.001 (0.002)	Loss 2.0994 (2.2055)	Prec@1 44.531 (44.489)	Prec@5 80.469 (75.064)
Epoch: [41][3950/14090]	Time 0.760 (0.768)	Data 0.001 (0.002)	Loss 2.4535 (2.2055)	Prec@1 44.531 (44.490)	Prec@5 70.312 (75.064)
Epoch: [41][3960/14090]	Time 0.746 (0.768)	Data 0.001 (0.002)	Loss 2.5155 (2.2057)	Prec@1 35.156 (44.485)	Prec@5 71.875 (75.062)
Epoch: [41][3970/14090]	Time 0.746 (0.768)	Data 0.001 (0.002)	Loss 2.2354 (2.2058)	Prec@1 45.312 (44.486)	Prec@5 75.000 (75.064)
Epoch: [41][3980/14090]	Time 0.881 (0.768)	Data 0.001 (0.002)	Loss 1.9533 (2.2055)	Prec@1 50.781 (44.489)	Prec@5 82.812 (75.071)
Epoch: [41][3990/14090]	Time 0.741 (0.768)	Data 0.001 (0.002)	Loss 2.3124 (2.2055)	Prec@1 43.750 (44.488)	Prec@5 71.094 (75.073)
Epoch: [41][4000/14090]	Time 0.759 (0.768)	Data 0.001 (0.002)	Loss 2.3073 (2.2052)	Prec@1 39.062 (44.495)	Prec@5 71.094 (75.078)
Epoch: [41][4010/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 2.4953 (2.2053)	Prec@1 35.938 (44.496)	Prec@5 71.875 (75.077)
Epoch: [41][4020/14090]	Time 0.749 (0.768)	Data 0.001 (0.002)	Loss 2.2833 (2.2053)	Prec@1 44.531 (44.495)	Prec@5 67.969 (75.075)
Epoch: [41][4030/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 2.2499 (2.2054)	Prec@1 42.969 (44.491)	Prec@5 78.125 (75.076)
Epoch: [41][4040/14090]	Time 0.743 (0.768)	Data 0.001 (0.002)	Loss 1.9225 (2.2052)	Prec@1 49.219 (44.490)	Prec@5 79.688 (75.078)
Epoch: [41][4050/14090]	Time 0.835 (0.768)	Data 0.001 (0.002)	Loss 2.2868 (2.2053)	Prec@1 41.406 (44.490)	Prec@5 71.094 (75.076)
Epoch: [41][4060/14090]	Time 0.760 (0.768)	Data 0.001 (0.002)	Loss 2.3094 (2.2053)	Prec@1 42.969 (44.491)	Prec@5 78.125 (75.074)
Epoch: [41][4070/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 1.8937 (2.2052)	Prec@1 50.000 (44.491)	Prec@5 81.250 (75.074)
Epoch: [41][4080/14090]	Time 0.762 (0.768)	Data 0.001 (0.002)	Loss 2.1314 (2.2052)	Prec@1 52.344 (44.493)	Prec@5 75.781 (75.074)
Epoch: [41][4090/14090]	Time 0.734 (0.768)	Data 0.001 (0.002)	Loss 1.9366 (2.2053)	Prec@1 53.125 (44.492)	Prec@5 81.250 (75.074)
Epoch: [41][4100/14090]	Time 0.767 (0.768)	Data 0.001 (0.002)	Loss 2.1131 (2.2054)	Prec@1 43.750 (44.488)	Prec@5 81.250 (75.070)
Epoch: [41][4110/14090]	Time 0.775 (0.768)	Data 0.001 (0.002)	Loss 2.1830 (2.2052)	Prec@1 40.625 (44.492)	Prec@5 74.219 (75.073)
Epoch: [41][4120/14090]	Time 0.870 (0.768)	Data 0.001 (0.002)	Loss 2.3247 (2.2052)	Prec@1 35.156 (44.488)	Prec@5 72.656 (75.073)
Epoch: [41][4130/14090]	Time 0.759 (0.768)	Data 0.001 (0.002)	Loss 2.0608 (2.2053)	Prec@1 44.531 (44.490)	Prec@5 77.344 (75.071)
Epoch: [41][4140/14090]	Time 0.758 (0.768)	Data 0.001 (0.002)	Loss 2.1951 (2.2054)	Prec@1 46.875 (44.492)	Prec@5 76.562 (75.068)
Epoch: [41][4150/14090]	Time 0.724 (0.768)	Data 0.001 (0.002)	Loss 2.2165 (2.2053)	Prec@1 43.750 (44.492)	Prec@5 71.875 (75.069)
Epoch: [41][4160/14090]	Time 0.748 (0.768)	Data 0.001 (0.002)	Loss 2.2626 (2.2054)	Prec@1 42.969 (44.493)	Prec@5 75.000 (75.070)
Epoch: [41][4170/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 2.2555 (2.2053)	Prec@1 42.969 (44.492)	Prec@5 75.000 (75.072)
Epoch: [41][4180/14090]	Time 0.777 (0.768)	Data 0.001 (0.002)	Loss 2.0705 (2.2053)	Prec@1 49.219 (44.494)	Prec@5 78.125 (75.071)
Epoch: [41][4190/14090]	Time 0.894 (0.768)	Data 0.001 (0.002)	Loss 2.5560 (2.2052)	Prec@1 37.500 (44.495)	Prec@5 69.531 (75.074)
Epoch: [41][4200/14090]	Time 0.774 (0.768)	Data 0.001 (0.002)	Loss 2.1657 (2.2053)	Prec@1 42.969 (44.491)	Prec@5 74.219 (75.076)
Epoch: [41][4210/14090]	Time 0.773 (0.768)	Data 0.001 (0.002)	Loss 2.1310 (2.2053)	Prec@1 45.312 (44.492)	Prec@5 74.219 (75.077)
Epoch: [41][4220/14090]	Time 0.758 (0.768)	Data 0.001 (0.002)	Loss 2.2905 (2.2052)	Prec@1 39.844 (44.491)	Prec@5 72.656 (75.079)
Epoch: [41][4230/14090]	Time 0.753 (0.768)	Data 0.001 (0.002)	Loss 2.3064 (2.2054)	Prec@1 43.750 (44.489)	Prec@5 70.312 (75.076)
Epoch: [41][4240/14090]	Time 0.757 (0.768)	Data 0.001 (0.002)	Loss 2.3092 (2.2054)	Prec@1 42.188 (44.486)	Prec@5 73.438 (75.077)
Epoch: [41][4250/14090]	Time 0.752 (0.768)	Data 0.001 (0.002)	Loss 2.2689 (2.2053)	Prec@1 44.531 (44.490)	Prec@5 72.656 (75.079)
Epoch: [41][4260/14090]	Time 0.879 (0.768)	Data 0.001 (0.002)	Loss 2.2422 (2.2053)	Prec@1 43.750 (44.497)	Prec@5 72.656 (75.079)
Epoch: [41][4270/14090]	Time 0.756 (0.768)	Data 0.001 (0.002)	Loss 2.4279 (2.2055)	Prec@1 40.625 (44.493)	Prec@5 70.312 (75.077)
Epoch: [41][4280/14090]	Time 0.765 (0.768)	Data 0.001 (0.002)	Loss 2.0519 (2.2053)	Prec@1 47.656 (44.496)	Prec@5 78.906 (75.081)
Epoch: [41][4290/14090]	Time 0.727 (0.768)	Data 0.001 (0.002)	Loss 2.1717 (2.2055)	Prec@1 47.656 (44.496)	Prec@5 70.312 (75.075)
Epoch: [41][4300/14090]	Time 0.743 (0.768)	Data 0.001 (0.002)	Loss 2.3166 (2.2054)	Prec@1 42.969 (44.503)	Prec@5 72.656 (75.075)
Epoch: [41][4310/14090]	Time 0.779 (0.768)	Data 0.001 (0.002)	Loss 2.4456 (2.2054)	Prec@1 40.625 (44.503)	Prec@5 72.656 (75.075)
Epoch: [41][4320/14090]	Time 0.754 (0.768)	Data 0.001 (0.002)	Loss 1.9107 (2.2053)	Prec@1 52.344 (44.504)	Prec@5 82.031 (75.078)
Epoch: [41][4330/14090]	Time 0.859 (0.768)	Data 0.001 (0.002)	Loss 2.1613 (2.2055)	Prec@1 50.781 (44.501)	Prec@5 75.000 (75.075)
Epoch: [41][4340/14090]	Time 0.758 (0.768)	Data 0.001 (0.002)	Loss 2.3668 (2.2055)	Prec@1 41.406 (44.504)	Prec@5 66.406 (75.076)
Epoch: [41][4350/14090]	Time 0.746 (0.768)	Data 0.001 (0.002)	Loss 2.3979 (2.2055)	Prec@1 39.062 (44.506)	Prec@5 75.000 (75.077)
Epoch: [41][4360/14090]	Time 0.738 (0.768)	Data 0.001 (0.002)	Loss 2.0265 (2.2056)	Prec@1 46.094 (44.504)	Prec@5 77.344 (75.075)
Epoch: [41][4370/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 2.4472 (2.2057)	Prec@1 41.406 (44.503)	Prec@5 69.531 (75.069)
Epoch: [41][4380/14090]	Time 0.738 (0.768)	Data 0.001 (0.002)	Loss 2.3141 (2.2059)	Prec@1 35.938 (44.500)	Prec@5 78.125 (75.068)
Epoch: [41][4390/14090]	Time 0.763 (0.768)	Data 0.001 (0.002)	Loss 2.4186 (2.2058)	Prec@1 42.188 (44.502)	Prec@5 72.656 (75.073)
Epoch: [41][4400/14090]	Time 0.861 (0.768)	Data 0.001 (0.002)	Loss 2.1818 (2.2058)	Prec@1 42.188 (44.502)	Prec@5 76.562 (75.075)
Epoch: [41][4410/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 2.2403 (2.2057)	Prec@1 45.312 (44.503)	Prec@5 74.219 (75.078)
Epoch: [41][4420/14090]	Time 0.752 (0.768)	Data 0.001 (0.002)	Loss 2.2190 (2.2057)	Prec@1 47.656 (44.504)	Prec@5 73.438 (75.084)
Epoch: [41][4430/14090]	Time 0.756 (0.768)	Data 0.001 (0.002)	Loss 2.5580 (2.2057)	Prec@1 33.594 (44.502)	Prec@5 66.406 (75.081)
Epoch: [41][4440/14090]	Time 0.762 (0.768)	Data 0.001 (0.002)	Loss 2.0403 (2.2058)	Prec@1 46.875 (44.502)	Prec@5 75.781 (75.082)
Epoch: [41][4450/14090]	Time 0.769 (0.768)	Data 0.001 (0.002)	Loss 2.3547 (2.2059)	Prec@1 38.281 (44.496)	Prec@5 71.875 (75.080)
Epoch: [41][4460/14090]	Time 0.770 (0.768)	Data 0.001 (0.002)	Loss 2.3403 (2.2060)	Prec@1 43.750 (44.498)	Prec@5 66.406 (75.077)
Epoch: [41][4470/14090]	Time 0.855 (0.768)	Data 0.001 (0.002)	Loss 2.2231 (2.2061)	Prec@1 43.750 (44.494)	Prec@5 74.219 (75.075)
Epoch: [41][4480/14090]	Time 0.726 (0.768)	Data 0.001 (0.002)	Loss 2.3705 (2.2062)	Prec@1 38.281 (44.495)	Prec@5 71.875 (75.073)
Epoch: [41][4490/14090]	Time 0.741 (0.768)	Data 0.001 (0.002)	Loss 2.1426 (2.2064)	Prec@1 46.875 (44.492)	Prec@5 78.125 (75.069)
Epoch: [41][4500/14090]	Time 0.747 (0.768)	Data 0.001 (0.002)	Loss 2.4257 (2.2063)	Prec@1 40.625 (44.489)	Prec@5 66.406 (75.069)
Epoch: [41][4510/14090]	Time 0.736 (0.768)	Data 0.001 (0.002)	Loss 2.0092 (2.2061)	Prec@1 51.562 (44.493)	Prec@5 78.125 (75.072)
Epoch: [41][4520/14090]	Time 0.758 (0.768)	Data 0.001 (0.002)	Loss 2.3924 (2.2062)	Prec@1 41.406 (44.491)	Prec@5 70.312 (75.070)
Epoch: [41][4530/14090]	Time 0.768 (0.768)	Data 0.001 (0.002)	Loss 2.2041 (2.2063)	Prec@1 46.094 (44.486)	Prec@5 75.000 (75.072)
Epoch: [41][4540/14090]	Time 0.864 (0.768)	Data 0.001 (0.002)	Loss 2.2970 (2.2062)	Prec@1 38.281 (44.486)	Prec@5 78.125 (75.075)
Epoch: [41][4550/14090]	Time 0.749 (0.768)	Data 0.001 (0.002)	Loss 2.2473 (2.2063)	Prec@1 48.438 (44.490)	Prec@5 71.094 (75.072)
Epoch: [41][4560/14090]	Time 0.738 (0.768)	Data 0.001 (0.002)	Loss 2.3731 (2.2062)	Prec@1 40.625 (44.492)	Prec@5 69.531 (75.070)
Epoch: [41][4570/14090]	Time 0.754 (0.768)	Data 0.001 (0.002)	Loss 2.2342 (2.2065)	Prec@1 43.750 (44.489)	Prec@5 71.875 (75.067)
Epoch: [41][4580/14090]	Time 0.758 (0.768)	Data 0.001 (0.002)	Loss 2.0991 (2.2063)	Prec@1 48.438 (44.493)	Prec@5 75.000 (75.066)
Epoch: [41][4590/14090]	Time 0.757 (0.768)	Data 0.001 (0.002)	Loss 2.3457 (2.2065)	Prec@1 40.625 (44.490)	Prec@5 71.094 (75.064)
Epoch: [41][4600/14090]	Time 0.736 (0.768)	Data 0.001 (0.002)	Loss 2.2384 (2.2063)	Prec@1 46.094 (44.492)	Prec@5 76.562 (75.069)
Epoch: [41][4610/14090]	Time 0.853 (0.768)	Data 0.001 (0.002)	Loss 2.1382 (2.2064)	Prec@1 44.531 (44.494)	Prec@5 78.125 (75.067)
Epoch: [41][4620/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 2.3849 (2.2063)	Prec@1 45.312 (44.501)	Prec@5 69.531 (75.068)
Epoch: [41][4630/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 2.1745 (2.2062)	Prec@1 40.625 (44.501)	Prec@5 77.344 (75.074)
Epoch: [41][4640/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 1.9444 (2.2062)	Prec@1 52.344 (44.498)	Prec@5 81.250 (75.077)
Epoch: [41][4650/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 2.3929 (2.2062)	Prec@1 42.188 (44.497)	Prec@5 75.781 (75.078)
Epoch: [41][4660/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 1.7825 (2.2060)	Prec@1 55.469 (44.499)	Prec@5 82.812 (75.080)
Epoch: [41][4670/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 2.1548 (2.2061)	Prec@1 45.312 (44.500)	Prec@5 75.781 (75.079)
Epoch: [41][4680/14090]	Time 0.850 (0.767)	Data 0.001 (0.002)	Loss 2.0205 (2.2059)	Prec@1 43.750 (44.502)	Prec@5 80.469 (75.083)
Epoch: [41][4690/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 2.0818 (2.2061)	Prec@1 49.219 (44.502)	Prec@5 80.469 (75.079)
Epoch: [41][4700/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 2.0070 (2.2061)	Prec@1 52.344 (44.503)	Prec@5 78.906 (75.077)
Epoch: [41][4710/14090]	Time 0.767 (0.767)	Data 0.001 (0.002)	Loss 2.4534 (2.2063)	Prec@1 30.469 (44.499)	Prec@5 73.438 (75.077)
Epoch: [41][4720/14090]	Time 0.762 (0.767)	Data 0.001 (0.002)	Loss 2.0328 (2.2061)	Prec@1 46.094 (44.501)	Prec@5 78.906 (75.081)
Epoch: [41][4730/14090]	Time 0.761 (0.767)	Data 0.001 (0.002)	Loss 2.1891 (2.2061)	Prec@1 39.062 (44.497)	Prec@5 71.875 (75.080)
Epoch: [41][4740/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 2.3373 (2.2062)	Prec@1 44.531 (44.494)	Prec@5 75.781 (75.080)
Epoch: [41][4750/14090]	Time 0.840 (0.767)	Data 0.001 (0.002)	Loss 2.1221 (2.2062)	Prec@1 50.781 (44.496)	Prec@5 75.000 (75.083)
Epoch: [41][4760/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 2.1388 (2.2062)	Prec@1 46.875 (44.495)	Prec@5 75.781 (75.084)
Epoch: [41][4770/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 2.2478 (2.2062)	Prec@1 44.531 (44.492)	Prec@5 75.781 (75.084)
Epoch: [41][4780/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 2.3651 (2.2061)	Prec@1 35.938 (44.494)	Prec@5 74.219 (75.084)
Epoch: [41][4790/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 2.2033 (2.2062)	Prec@1 47.656 (44.495)	Prec@5 78.906 (75.084)
Epoch: [41][4800/14090]	Time 0.756 (0.767)	Data 0.003 (0.002)	Loss 2.1121 (2.2064)	Prec@1 42.188 (44.489)	Prec@5 75.781 (75.081)
Epoch: [41][4810/14090]	Time 0.761 (0.767)	Data 0.001 (0.002)	Loss 2.1449 (2.2064)	Prec@1 48.438 (44.489)	Prec@5 75.781 (75.080)
Epoch: [41][4820/14090]	Time 0.914 (0.767)	Data 0.001 (0.002)	Loss 1.9658 (2.2065)	Prec@1 45.312 (44.482)	Prec@5 82.812 (75.082)
Epoch: [41][4830/14090]	Time 0.793 (0.767)	Data 0.001 (0.002)	Loss 2.5182 (2.2067)	Prec@1 46.094 (44.480)	Prec@5 70.312 (75.078)
Epoch: [41][4840/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 2.2099 (2.2068)	Prec@1 50.781 (44.480)	Prec@5 75.000 (75.074)
Epoch: [41][4850/14090]	Time 0.725 (0.767)	Data 0.001 (0.002)	Loss 2.0330 (2.2068)	Prec@1 46.875 (44.480)	Prec@5 78.906 (75.073)
Epoch: [41][4860/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 1.9320 (2.2066)	Prec@1 47.656 (44.482)	Prec@5 78.906 (75.077)
Epoch: [41][4870/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 2.1767 (2.2066)	Prec@1 41.406 (44.484)	Prec@5 76.562 (75.079)
Epoch: [41][4880/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 1.8962 (2.2067)	Prec@1 50.781 (44.479)	Prec@5 78.125 (75.078)
Epoch: [41][4890/14090]	Time 0.880 (0.767)	Data 0.001 (0.002)	Loss 2.1424 (2.2067)	Prec@1 43.750 (44.477)	Prec@5 75.781 (75.077)
Epoch: [41][4900/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 2.1947 (2.2066)	Prec@1 46.094 (44.482)	Prec@5 75.781 (75.078)
Epoch: [41][4910/14090]	Time 0.719 (0.767)	Data 0.001 (0.002)	Loss 2.3037 (2.2067)	Prec@1 41.406 (44.478)	Prec@5 74.219 (75.077)
Epoch: [41][4920/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 2.3600 (2.2067)	Prec@1 38.281 (44.477)	Prec@5 70.312 (75.076)
Epoch: [41][4930/14090]	Time 0.720 (0.767)	Data 0.001 (0.002)	Loss 2.2433 (2.2065)	Prec@1 39.844 (44.480)	Prec@5 75.000 (75.078)
Epoch: [41][4940/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 2.1596 (2.2066)	Prec@1 46.094 (44.478)	Prec@5 73.438 (75.075)
Epoch: [41][4950/14090]	Time 0.769 (0.767)	Data 0.001 (0.002)	Loss 2.3227 (2.2065)	Prec@1 45.312 (44.480)	Prec@5 69.531 (75.077)
Epoch: [41][4960/14090]	Time 0.914 (0.767)	Data 0.001 (0.002)	Loss 2.3442 (2.2066)	Prec@1 42.969 (44.478)	Prec@5 74.219 (75.076)
Epoch: [41][4970/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 2.5522 (2.2066)	Prec@1 36.719 (44.477)	Prec@5 66.406 (75.076)
Epoch: [41][4980/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 2.2850 (2.2066)	Prec@1 42.969 (44.474)	Prec@5 71.094 (75.077)
Epoch: [41][4990/14090]	Time 0.757 (0.767)	Data 0.001 (0.002)	Loss 2.5643 (2.2068)	Prec@1 39.844 (44.472)	Prec@5 68.750 (75.075)
Epoch: [41][5000/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 2.2894 (2.2068)	Prec@1 41.406 (44.468)	Prec@5 74.219 (75.075)
Epoch: [41][5010/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 2.1786 (2.2070)	Prec@1 45.312 (44.463)	Prec@5 74.219 (75.075)
Epoch: [41][5020/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.3524 (2.2070)	Prec@1 46.094 (44.465)	Prec@5 67.969 (75.074)
Epoch: [41][5030/14090]	Time 0.861 (0.767)	Data 0.001 (0.002)	Loss 2.0470 (2.2071)	Prec@1 50.000 (44.463)	Prec@5 78.125 (75.069)
Epoch: [41][5040/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 2.1140 (2.2071)	Prec@1 48.438 (44.465)	Prec@5 72.656 (75.069)
Epoch: [41][5050/14090]	Time 0.763 (0.767)	Data 0.001 (0.002)	Loss 2.3140 (2.2070)	Prec@1 41.406 (44.463)	Prec@5 77.344 (75.072)
Epoch: [41][5060/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 1.8569 (2.2070)	Prec@1 48.438 (44.464)	Prec@5 81.250 (75.072)
Epoch: [41][5070/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 2.4695 (2.2071)	Prec@1 35.938 (44.461)	Prec@5 69.531 (75.072)
Epoch: [41][5080/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.2256 (2.2072)	Prec@1 46.875 (44.461)	Prec@5 74.219 (75.070)
Epoch: [41][5090/14090]	Time 0.760 (0.767)	Data 0.001 (0.002)	Loss 1.8135 (2.2072)	Prec@1 51.562 (44.462)	Prec@5 82.031 (75.070)
Epoch: [41][5100/14090]	Time 0.944 (0.767)	Data 0.001 (0.002)	Loss 2.5975 (2.2073)	Prec@1 31.250 (44.462)	Prec@5 67.969 (75.069)
Epoch: [41][5110/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 2.3779 (2.2073)	Prec@1 48.438 (44.461)	Prec@5 67.188 (75.067)
Epoch: [41][5120/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 1.8936 (2.2073)	Prec@1 53.906 (44.463)	Prec@5 82.031 (75.071)
Epoch: [41][5130/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.0264 (2.2073)	Prec@1 47.656 (44.463)	Prec@5 78.906 (75.071)
Epoch: [41][5140/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 2.3404 (2.2074)	Prec@1 39.844 (44.460)	Prec@5 71.094 (75.073)
Epoch: [41][5150/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 2.1566 (2.2074)	Prec@1 45.312 (44.459)	Prec@5 78.125 (75.072)
Epoch: [41][5160/14090]	Time 0.760 (0.767)	Data 0.001 (0.002)	Loss 2.1810 (2.2074)	Prec@1 46.094 (44.455)	Prec@5 74.219 (75.072)
Epoch: [41][5170/14090]	Time 0.850 (0.767)	Data 0.001 (0.002)	Loss 2.2454 (2.2075)	Prec@1 40.625 (44.454)	Prec@5 75.000 (75.072)
Epoch: [41][5180/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 2.1727 (2.2074)	Prec@1 45.312 (44.453)	Prec@5 76.562 (75.074)
Epoch: [41][5190/14090]	Time 0.762 (0.767)	Data 0.001 (0.002)	Loss 2.2780 (2.2075)	Prec@1 47.656 (44.448)	Prec@5 73.438 (75.073)
Epoch: [41][5200/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 2.4461 (2.2075)	Prec@1 39.844 (44.444)	Prec@5 68.750 (75.072)
Epoch: [41][5210/14090]	Time 0.724 (0.767)	Data 0.001 (0.002)	Loss 2.3117 (2.2078)	Prec@1 38.281 (44.436)	Prec@5 70.312 (75.067)
Epoch: [41][5220/14090]	Time 0.727 (0.767)	Data 0.001 (0.002)	Loss 2.6301 (2.2078)	Prec@1 32.812 (44.435)	Prec@5 66.406 (75.065)
Epoch: [41][5230/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 2.2824 (2.2078)	Prec@1 42.188 (44.438)	Prec@5 74.219 (75.066)
Epoch: [41][5240/14090]	Time 0.889 (0.767)	Data 0.001 (0.002)	Loss 2.2998 (2.2077)	Prec@1 47.656 (44.442)	Prec@5 76.562 (75.065)
Epoch: [41][5250/14090]	Time 0.719 (0.767)	Data 0.001 (0.002)	Loss 2.2727 (2.2076)	Prec@1 43.750 (44.443)	Prec@5 71.094 (75.063)
Epoch: [41][5260/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 1.9973 (2.2074)	Prec@1 48.438 (44.450)	Prec@5 79.688 (75.068)
Epoch: [41][5270/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 2.3169 (2.2074)	Prec@1 42.188 (44.451)	Prec@5 75.000 (75.070)
Epoch: [41][5280/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 2.4326 (2.2074)	Prec@1 36.719 (44.452)	Prec@5 71.875 (75.071)
Epoch: [41][5290/14090]	Time 0.757 (0.767)	Data 0.002 (0.002)	Loss 2.3895 (2.2072)	Prec@1 46.094 (44.456)	Prec@5 73.438 (75.075)
Epoch: [41][5300/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 2.0281 (2.2071)	Prec@1 48.438 (44.459)	Prec@5 75.781 (75.075)
Epoch: [41][5310/14090]	Time 0.853 (0.767)	Data 0.001 (0.002)	Loss 1.9702 (2.2070)	Prec@1 53.906 (44.458)	Prec@5 78.906 (75.077)
Epoch: [41][5320/14090]	Time 0.731 (0.767)	Data 0.001 (0.002)	Loss 2.4803 (2.2070)	Prec@1 41.406 (44.461)	Prec@5 67.969 (75.075)
Epoch: [41][5330/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 2.3165 (2.2071)	Prec@1 39.844 (44.459)	Prec@5 77.344 (75.076)
Epoch: [41][5340/14090]	Time 0.721 (0.767)	Data 0.001 (0.002)	Loss 2.0261 (2.2069)	Prec@1 53.125 (44.463)	Prec@5 80.469 (75.081)
Epoch: [41][5350/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 2.0936 (2.2070)	Prec@1 44.531 (44.458)	Prec@5 81.250 (75.080)
Epoch: [41][5360/14090]	Time 0.775 (0.767)	Data 0.001 (0.002)	Loss 2.2944 (2.2070)	Prec@1 42.969 (44.461)	Prec@5 75.781 (75.081)
Epoch: [41][5370/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 2.4002 (2.2070)	Prec@1 38.281 (44.461)	Prec@5 68.750 (75.080)
Epoch: [41][5380/14090]	Time 0.846 (0.767)	Data 0.001 (0.002)	Loss 2.1584 (2.2070)	Prec@1 53.906 (44.461)	Prec@5 75.000 (75.079)
Epoch: [41][5390/14090]	Time 0.768 (0.767)	Data 0.001 (0.002)	Loss 2.2413 (2.2069)	Prec@1 40.625 (44.463)	Prec@5 75.000 (75.081)
Epoch: [41][5400/14090]	Time 0.723 (0.767)	Data 0.001 (0.002)	Loss 2.3362 (2.2070)	Prec@1 40.625 (44.461)	Prec@5 73.438 (75.079)
Epoch: [41][5410/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.3403 (2.2071)	Prec@1 42.188 (44.461)	Prec@5 73.438 (75.073)
Epoch: [41][5420/14090]	Time 0.781 (0.767)	Data 0.001 (0.002)	Loss 2.1235 (2.2072)	Prec@1 46.875 (44.459)	Prec@5 77.344 (75.072)
Epoch: [41][5430/14090]	Time 0.761 (0.767)	Data 0.001 (0.002)	Loss 2.1721 (2.2071)	Prec@1 46.875 (44.464)	Prec@5 75.781 (75.073)
Epoch: [41][5440/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 2.1421 (2.2070)	Prec@1 44.531 (44.466)	Prec@5 75.781 (75.073)
Epoch: [41][5450/14090]	Time 0.877 (0.767)	Data 0.001 (0.002)	Loss 2.2070 (2.2072)	Prec@1 39.062 (44.467)	Prec@5 79.688 (75.073)
Epoch: [41][5460/14090]	Time 0.777 (0.767)	Data 0.001 (0.002)	Loss 2.3560 (2.2073)	Prec@1 46.875 (44.464)	Prec@5 69.531 (75.069)
Epoch: [41][5470/14090]	Time 0.756 (0.767)	Data 0.003 (0.002)	Loss 2.1498 (2.2072)	Prec@1 44.531 (44.467)	Prec@5 80.469 (75.069)
Epoch: [41][5480/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 1.7762 (2.2072)	Prec@1 55.469 (44.467)	Prec@5 83.594 (75.070)
Epoch: [41][5490/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 1.9787 (2.2072)	Prec@1 46.094 (44.464)	Prec@5 78.906 (75.069)
Epoch: [41][5500/14090]	Time 0.765 (0.767)	Data 0.001 (0.002)	Loss 2.0836 (2.2072)	Prec@1 46.094 (44.465)	Prec@5 75.781 (75.068)
Epoch: [41][5510/14090]	Time 0.726 (0.767)	Data 0.001 (0.002)	Loss 2.2794 (2.2072)	Prec@1 42.188 (44.462)	Prec@5 72.656 (75.068)
Epoch: [41][5520/14090]	Time 0.864 (0.767)	Data 0.001 (0.002)	Loss 2.0679 (2.2072)	Prec@1 45.312 (44.464)	Prec@5 75.000 (75.067)
Epoch: [41][5530/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 2.1155 (2.2071)	Prec@1 48.438 (44.467)	Prec@5 70.312 (75.067)
Epoch: [41][5540/14090]	Time 0.743 (0.767)	Data 0.002 (0.002)	Loss 2.4253 (2.2072)	Prec@1 39.062 (44.463)	Prec@5 73.438 (75.066)
Epoch: [41][5550/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 2.1646 (2.2073)	Prec@1 45.312 (44.462)	Prec@5 78.906 (75.063)
Epoch: [41][5560/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 2.2283 (2.2074)	Prec@1 48.438 (44.462)	Prec@5 75.781 (75.063)
Epoch: [41][5570/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 2.1979 (2.2073)	Prec@1 50.000 (44.461)	Prec@5 75.000 (75.065)
Epoch: [41][5580/14090]	Time 0.761 (0.767)	Data 0.001 (0.002)	Loss 1.9630 (2.2074)	Prec@1 50.781 (44.460)	Prec@5 78.125 (75.063)
Epoch: [41][5590/14090]	Time 0.848 (0.767)	Data 0.001 (0.002)	Loss 2.0819 (2.2074)	Prec@1 41.406 (44.459)	Prec@5 75.781 (75.062)
Epoch: [41][5600/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 1.9081 (2.2074)	Prec@1 46.875 (44.459)	Prec@5 80.469 (75.061)
Epoch: [41][5610/14090]	Time 0.731 (0.767)	Data 0.001 (0.002)	Loss 2.2719 (2.2073)	Prec@1 44.531 (44.462)	Prec@5 77.344 (75.063)
Epoch: [41][5620/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 2.2574 (2.2073)	Prec@1 44.531 (44.460)	Prec@5 73.438 (75.062)
Epoch: [41][5630/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.2880 (2.2074)	Prec@1 41.406 (44.456)	Prec@5 70.312 (75.060)
Epoch: [41][5640/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.4288 (2.2075)	Prec@1 35.938 (44.452)	Prec@5 72.656 (75.058)
Epoch: [41][5650/14090]	Time 0.774 (0.767)	Data 0.001 (0.002)	Loss 1.9741 (2.2074)	Prec@1 45.312 (44.458)	Prec@5 80.469 (75.061)
Epoch: [41][5660/14090]	Time 0.878 (0.767)	Data 0.001 (0.002)	Loss 2.2672 (2.2072)	Prec@1 37.500 (44.457)	Prec@5 75.000 (75.065)
Epoch: [41][5670/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 2.2620 (2.2073)	Prec@1 43.750 (44.456)	Prec@5 70.312 (75.062)
Epoch: [41][5680/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 2.4163 (2.2075)	Prec@1 45.312 (44.457)	Prec@5 67.969 (75.057)
Epoch: [41][5690/14090]	Time 0.731 (0.767)	Data 0.001 (0.002)	Loss 2.2257 (2.2075)	Prec@1 37.500 (44.458)	Prec@5 74.219 (75.056)
Epoch: [41][5700/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 2.3576 (2.2074)	Prec@1 35.938 (44.460)	Prec@5 72.656 (75.056)
Epoch: [41][5710/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 2.3430 (2.2074)	Prec@1 44.531 (44.463)	Prec@5 71.875 (75.056)
Epoch: [41][5720/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 2.0970 (2.2075)	Prec@1 50.781 (44.463)	Prec@5 78.125 (75.055)
Epoch: [41][5730/14090]	Time 0.911 (0.767)	Data 0.001 (0.002)	Loss 2.2179 (2.2074)	Prec@1 50.000 (44.466)	Prec@5 75.000 (75.055)
Epoch: [41][5740/14090]	Time 0.768 (0.767)	Data 0.001 (0.002)	Loss 2.1454 (2.2074)	Prec@1 49.219 (44.465)	Prec@5 76.562 (75.054)
Epoch: [41][5750/14090]	Time 0.766 (0.767)	Data 0.001 (0.002)	Loss 2.1989 (2.2074)	Prec@1 40.625 (44.465)	Prec@5 72.656 (75.052)
Epoch: [41][5760/14090]	Time 0.724 (0.767)	Data 0.001 (0.002)	Loss 2.4464 (2.2073)	Prec@1 35.938 (44.463)	Prec@5 72.656 (75.056)
Epoch: [41][5770/14090]	Time 0.762 (0.767)	Data 0.001 (0.002)	Loss 2.3295 (2.2074)	Prec@1 40.625 (44.462)	Prec@5 68.750 (75.053)
Epoch: [41][5780/14090]	Time 0.728 (0.767)	Data 0.001 (0.002)	Loss 2.2119 (2.2074)	Prec@1 41.406 (44.461)	Prec@5 74.219 (75.052)
Epoch: [41][5790/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 1.9989 (2.2073)	Prec@1 46.875 (44.462)	Prec@5 77.344 (75.053)
Epoch: [41][5800/14090]	Time 0.902 (0.767)	Data 0.001 (0.002)	Loss 2.1968 (2.2072)	Prec@1 44.531 (44.461)	Prec@5 74.219 (75.056)
Epoch: [41][5810/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 1.9399 (2.2072)	Prec@1 53.125 (44.463)	Prec@5 80.469 (75.054)
Epoch: [41][5820/14090]	Time 0.760 (0.767)	Data 0.001 (0.002)	Loss 1.8929 (2.2071)	Prec@1 48.438 (44.461)	Prec@5 78.125 (75.055)
Epoch: [41][5830/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 2.3113 (2.2072)	Prec@1 42.969 (44.461)	Prec@5 75.000 (75.054)
Epoch: [41][5840/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 2.3307 (2.2070)	Prec@1 42.969 (44.467)	Prec@5 76.562 (75.059)
Epoch: [41][5850/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 2.3732 (2.2070)	Prec@1 44.531 (44.466)	Prec@5 69.531 (75.061)
Epoch: [41][5860/14090]	Time 0.761 (0.767)	Data 0.001 (0.002)	Loss 2.0617 (2.2069)	Prec@1 48.438 (44.467)	Prec@5 78.125 (75.060)
Epoch: [41][5870/14090]	Time 0.878 (0.767)	Data 0.001 (0.002)	Loss 2.2490 (2.2067)	Prec@1 39.062 (44.468)	Prec@5 76.562 (75.064)
Epoch: [41][5880/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 2.2142 (2.2069)	Prec@1 42.188 (44.460)	Prec@5 73.438 (75.063)
Epoch: [41][5890/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 2.0835 (2.2069)	Prec@1 42.969 (44.457)	Prec@5 80.469 (75.064)
Epoch: [41][5900/14090]	Time 0.783 (0.767)	Data 0.001 (0.002)	Loss 2.2676 (2.2070)	Prec@1 40.625 (44.452)	Prec@5 73.438 (75.063)
Epoch: [41][5910/14090]	Time 0.775 (0.767)	Data 0.001 (0.002)	Loss 2.0801 (2.2069)	Prec@1 46.094 (44.454)	Prec@5 79.688 (75.065)
Epoch: [41][5920/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 2.2709 (2.2069)	Prec@1 46.094 (44.454)	Prec@5 76.562 (75.065)
Epoch: [41][5930/14090]	Time 0.769 (0.767)	Data 0.001 (0.002)	Loss 2.0838 (2.2068)	Prec@1 52.344 (44.456)	Prec@5 73.438 (75.066)
Epoch: [41][5940/14090]	Time 0.797 (0.767)	Data 0.001 (0.002)	Loss 2.3187 (2.2070)	Prec@1 42.188 (44.454)	Prec@5 78.906 (75.065)
Epoch: [41][5950/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 2.3918 (2.2071)	Prec@1 38.281 (44.454)	Prec@5 73.438 (75.062)
Epoch: [41][5960/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 2.0785 (2.2071)	Prec@1 45.312 (44.456)	Prec@5 77.344 (75.062)
Epoch: [41][5970/14090]	Time 0.768 (0.767)	Data 0.001 (0.002)	Loss 2.3197 (2.2072)	Prec@1 40.625 (44.455)	Prec@5 73.438 (75.059)
Epoch: [41][5980/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 1.9183 (2.2070)	Prec@1 48.438 (44.458)	Prec@5 77.344 (75.060)
Epoch: [41][5990/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 2.0417 (2.2071)	Prec@1 38.281 (44.455)	Prec@5 78.906 (75.057)
Epoch: [41][6000/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.0121 (2.2069)	Prec@1 46.094 (44.458)	Prec@5 73.438 (75.059)
Epoch: [41][6010/14090]	Time 0.849 (0.767)	Data 0.001 (0.002)	Loss 2.1928 (2.2070)	Prec@1 50.000 (44.454)	Prec@5 75.000 (75.057)
Epoch: [41][6020/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 2.2691 (2.2070)	Prec@1 40.625 (44.456)	Prec@5 73.438 (75.059)
Epoch: [41][6030/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 2.0905 (2.2069)	Prec@1 46.094 (44.459)	Prec@5 79.688 (75.060)
Epoch: [41][6040/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 2.1360 (2.2069)	Prec@1 44.531 (44.460)	Prec@5 76.562 (75.061)
Epoch: [41][6050/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.3220 (2.2069)	Prec@1 42.969 (44.461)	Prec@5 73.438 (75.061)
Epoch: [41][6060/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 2.2244 (2.2070)	Prec@1 38.281 (44.461)	Prec@5 74.219 (75.058)
Epoch: [41][6070/14090]	Time 0.770 (0.767)	Data 0.001 (0.002)	Loss 2.0676 (2.2069)	Prec@1 48.438 (44.462)	Prec@5 76.562 (75.061)
Epoch: [41][6080/14090]	Time 0.867 (0.767)	Data 0.001 (0.002)	Loss 2.0080 (2.2069)	Prec@1 53.906 (44.466)	Prec@5 76.562 (75.063)
Epoch: [41][6090/14090]	Time 0.757 (0.767)	Data 0.002 (0.002)	Loss 2.3689 (2.2069)	Prec@1 42.969 (44.468)	Prec@5 74.219 (75.063)
Epoch: [41][6100/14090]	Time 0.760 (0.767)	Data 0.001 (0.002)	Loss 2.3569 (2.2069)	Prec@1 39.062 (44.469)	Prec@5 72.656 (75.065)
Epoch: [41][6110/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 2.4295 (2.2070)	Prec@1 42.188 (44.468)	Prec@5 73.438 (75.063)
Epoch: [41][6120/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 2.3975 (2.2070)	Prec@1 41.406 (44.467)	Prec@5 71.875 (75.062)
Epoch: [41][6130/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 2.1801 (2.2070)	Prec@1 43.750 (44.465)	Prec@5 71.875 (75.062)
Epoch: [41][6140/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 1.9212 (2.2071)	Prec@1 55.469 (44.464)	Prec@5 76.562 (75.060)
Epoch: [41][6150/14090]	Time 0.864 (0.767)	Data 0.001 (0.002)	Loss 1.9581 (2.2070)	Prec@1 47.656 (44.464)	Prec@5 82.812 (75.060)
Epoch: [41][6160/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 1.9772 (2.2070)	Prec@1 46.094 (44.462)	Prec@5 78.125 (75.060)
Epoch: [41][6170/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 2.2900 (2.2072)	Prec@1 44.531 (44.457)	Prec@5 70.312 (75.057)
Epoch: [41][6180/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 2.1915 (2.2073)	Prec@1 42.969 (44.454)	Prec@5 77.344 (75.055)
Epoch: [41][6190/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.3277 (2.2074)	Prec@1 46.875 (44.454)	Prec@5 72.656 (75.053)
Epoch: [41][6200/14090]	Time 0.763 (0.767)	Data 0.001 (0.002)	Loss 2.2721 (2.2073)	Prec@1 45.312 (44.455)	Prec@5 77.344 (75.055)
Epoch: [41][6210/14090]	Time 0.782 (0.767)	Data 0.001 (0.002)	Loss 2.1849 (2.2074)	Prec@1 46.875 (44.453)	Prec@5 78.125 (75.053)
Epoch: [41][6220/14090]	Time 0.877 (0.767)	Data 0.001 (0.002)	Loss 2.3617 (2.2073)	Prec@1 36.719 (44.454)	Prec@5 75.000 (75.055)
Epoch: [41][6230/14090]	Time 0.757 (0.767)	Data 0.001 (0.002)	Loss 2.4602 (2.2074)	Prec@1 42.188 (44.456)	Prec@5 65.625 (75.053)
Epoch: [41][6240/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 2.3754 (2.2074)	Prec@1 41.406 (44.453)	Prec@5 73.438 (75.051)
Epoch: [41][6250/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 2.5555 (2.2076)	Prec@1 35.938 (44.449)	Prec@5 69.531 (75.048)
Epoch: [41][6260/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 2.3413 (2.2076)	Prec@1 48.438 (44.450)	Prec@5 67.188 (75.050)
Epoch: [41][6270/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.2652 (2.2077)	Prec@1 46.094 (44.451)	Prec@5 70.312 (75.048)
Epoch: [41][6280/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 2.0525 (2.2077)	Prec@1 49.219 (44.450)	Prec@5 76.562 (75.048)
Epoch: [41][6290/14090]	Time 0.838 (0.767)	Data 0.001 (0.002)	Loss 2.2999 (2.2078)	Prec@1 44.531 (44.449)	Prec@5 72.656 (75.047)
Epoch: [41][6300/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.1338 (2.2078)	Prec@1 46.875 (44.447)	Prec@5 77.344 (75.046)
Epoch: [41][6310/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 2.3557 (2.2078)	Prec@1 46.875 (44.447)	Prec@5 66.406 (75.047)
Epoch: [41][6320/14090]	Time 0.724 (0.767)	Data 0.001 (0.002)	Loss 2.0376 (2.2077)	Prec@1 53.906 (44.449)	Prec@5 78.125 (75.049)
Epoch: [41][6330/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 2.2133 (2.2078)	Prec@1 41.406 (44.451)	Prec@5 75.000 (75.047)
Epoch: [41][6340/14090]	Time 0.742 (0.767)	Data 0.002 (0.002)	Loss 2.3659 (2.2077)	Prec@1 40.625 (44.450)	Prec@5 72.656 (75.047)
Epoch: [41][6350/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 2.2912 (2.2075)	Prec@1 44.531 (44.454)	Prec@5 75.781 (75.052)
Epoch: [41][6360/14090]	Time 0.829 (0.767)	Data 0.001 (0.002)	Loss 1.9783 (2.2076)	Prec@1 46.875 (44.452)	Prec@5 77.344 (75.051)
Epoch: [41][6370/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 1.9621 (2.2077)	Prec@1 46.875 (44.451)	Prec@5 82.031 (75.051)
Epoch: [41][6380/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 2.1731 (2.2076)	Prec@1 40.625 (44.452)	Prec@5 79.688 (75.054)
Epoch: [41][6390/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 1.8525 (2.2076)	Prec@1 48.438 (44.453)	Prec@5 80.469 (75.053)
Epoch: [41][6400/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 2.2312 (2.2077)	Prec@1 42.969 (44.450)	Prec@5 75.000 (75.049)
Epoch: [41][6410/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 1.9496 (2.2076)	Prec@1 46.094 (44.452)	Prec@5 78.125 (75.050)
Epoch: [41][6420/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 2.0183 (2.2076)	Prec@1 46.094 (44.451)	Prec@5 75.781 (75.052)
Epoch: [41][6430/14090]	Time 0.876 (0.767)	Data 0.001 (0.002)	Loss 2.1010 (2.2074)	Prec@1 48.438 (44.454)	Prec@5 78.125 (75.055)
Epoch: [41][6440/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 2.3341 (2.2075)	Prec@1 44.531 (44.455)	Prec@5 71.094 (75.055)
Epoch: [41][6450/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 1.9987 (2.2075)	Prec@1 50.781 (44.453)	Prec@5 80.469 (75.055)
Epoch: [41][6460/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 2.0020 (2.2076)	Prec@1 52.344 (44.451)	Prec@5 79.688 (75.054)
Epoch: [41][6470/14090]	Time 0.757 (0.767)	Data 0.001 (0.002)	Loss 2.0823 (2.2076)	Prec@1 43.750 (44.451)	Prec@5 78.906 (75.057)
Epoch: [41][6480/14090]	Time 0.767 (0.767)	Data 0.000 (0.002)	Loss 2.1050 (2.2076)	Prec@1 46.875 (44.453)	Prec@5 79.688 (75.058)
Epoch: [41][6490/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 2.3570 (2.2076)	Prec@1 35.938 (44.455)	Prec@5 73.438 (75.059)
Epoch: [41][6500/14090]	Time 0.920 (0.767)	Data 0.001 (0.002)	Loss 2.1129 (2.2075)	Prec@1 46.875 (44.456)	Prec@5 76.562 (75.060)
Epoch: [41][6510/14090]	Time 0.783 (0.767)	Data 0.001 (0.002)	Loss 2.3326 (2.2075)	Prec@1 41.406 (44.456)	Prec@5 72.656 (75.060)
Epoch: [41][6520/14090]	Time 0.757 (0.767)	Data 0.001 (0.002)	Loss 2.3671 (2.2074)	Prec@1 48.438 (44.461)	Prec@5 76.562 (75.060)
Epoch: [41][6530/14090]	Time 0.726 (0.767)	Data 0.001 (0.002)	Loss 2.0116 (2.2076)	Prec@1 41.406 (44.458)	Prec@5 83.594 (75.056)
Epoch: [41][6540/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.0437 (2.2076)	Prec@1 46.094 (44.456)	Prec@5 80.469 (75.054)
Epoch: [41][6550/14090]	Time 0.762 (0.767)	Data 0.001 (0.002)	Loss 2.0913 (2.2076)	Prec@1 50.000 (44.457)	Prec@5 76.562 (75.054)
Epoch: [41][6560/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.5454 (2.2076)	Prec@1 35.938 (44.455)	Prec@5 72.656 (75.054)
Epoch: [41][6570/14090]	Time 0.892 (0.767)	Data 0.001 (0.002)	Loss 2.4238 (2.2076)	Prec@1 39.844 (44.454)	Prec@5 71.094 (75.056)
Epoch: [41][6580/14090]	Time 0.782 (0.767)	Data 0.001 (0.002)	Loss 2.4524 (2.2078)	Prec@1 39.062 (44.454)	Prec@5 71.875 (75.054)
Epoch: [41][6590/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 2.1110 (2.2078)	Prec@1 43.750 (44.453)	Prec@5 77.344 (75.054)
Epoch: [41][6600/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 2.0933 (2.2078)	Prec@1 48.438 (44.452)	Prec@5 80.469 (75.052)
Epoch: [41][6610/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 2.1488 (2.2077)	Prec@1 41.406 (44.451)	Prec@5 75.000 (75.054)
Epoch: [41][6620/14090]	Time 0.742 (0.767)	Data 0.002 (0.002)	Loss 2.2265 (2.2077)	Prec@1 45.312 (44.452)	Prec@5 73.438 (75.053)
Epoch: [41][6630/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 2.1685 (2.2077)	Prec@1 43.750 (44.452)	Prec@5 75.000 (75.053)
Epoch: [41][6640/14090]	Time 0.853 (0.767)	Data 0.001 (0.002)	Loss 2.2301 (2.2077)	Prec@1 45.312 (44.452)	Prec@5 74.219 (75.052)
Epoch: [41][6650/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 2.7502 (2.2078)	Prec@1 39.062 (44.452)	Prec@5 66.406 (75.050)
Epoch: [41][6660/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 2.2925 (2.2079)	Prec@1 38.281 (44.451)	Prec@5 75.000 (75.048)
Epoch: [41][6670/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 2.4015 (2.2078)	Prec@1 43.750 (44.451)	Prec@5 75.000 (75.050)
Epoch: [41][6680/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 2.1218 (2.2079)	Prec@1 46.875 (44.449)	Prec@5 75.000 (75.050)
Epoch: [41][6690/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 2.2033 (2.2080)	Prec@1 42.969 (44.446)	Prec@5 75.781 (75.048)
Epoch: [41][6700/14090]	Time 0.731 (0.767)	Data 0.001 (0.002)	Loss 2.3131 (2.2081)	Prec@1 43.750 (44.443)	Prec@5 73.438 (75.049)
Epoch: [41][6710/14090]	Time 0.855 (0.767)	Data 0.001 (0.002)	Loss 1.7960 (2.2080)	Prec@1 53.125 (44.446)	Prec@5 82.031 (75.049)
Epoch: [41][6720/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.3924 (2.2080)	Prec@1 40.625 (44.445)	Prec@5 70.312 (75.050)
Epoch: [41][6730/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 2.2825 (2.2079)	Prec@1 37.500 (44.447)	Prec@5 75.781 (75.052)
Epoch: [41][6740/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 2.1486 (2.2078)	Prec@1 48.438 (44.450)	Prec@5 72.656 (75.053)
Epoch: [41][6750/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 2.0117 (2.2078)	Prec@1 41.406 (44.445)	Prec@5 78.125 (75.053)
Epoch: [41][6760/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 2.6144 (2.2079)	Prec@1 32.031 (44.443)	Prec@5 67.188 (75.051)
Epoch: [41][6770/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 1.8840 (2.2079)	Prec@1 53.125 (44.445)	Prec@5 81.250 (75.049)
Epoch: [41][6780/14090]	Time 0.882 (0.767)	Data 0.001 (0.002)	Loss 2.4991 (2.2080)	Prec@1 37.500 (44.442)	Prec@5 68.750 (75.048)
Epoch: [41][6790/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 2.3869 (2.2081)	Prec@1 37.500 (44.439)	Prec@5 73.438 (75.045)
Epoch: [41][6800/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 2.1254 (2.2082)	Prec@1 44.531 (44.437)	Prec@5 75.000 (75.043)
Epoch: [41][6810/14090]	Time 0.777 (0.767)	Data 0.001 (0.002)	Loss 2.2203 (2.2082)	Prec@1 46.875 (44.438)	Prec@5 76.562 (75.043)
Epoch: [41][6820/14090]	Time 0.731 (0.767)	Data 0.001 (0.002)	Loss 2.0406 (2.2081)	Prec@1 46.875 (44.437)	Prec@5 76.562 (75.042)
Epoch: [41][6830/14090]	Time 0.779 (0.767)	Data 0.001 (0.002)	Loss 2.2149 (2.2081)	Prec@1 42.969 (44.440)	Prec@5 77.344 (75.045)
Epoch: [41][6840/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 2.1592 (2.2081)	Prec@1 50.781 (44.440)	Prec@5 75.781 (75.043)
Epoch: [41][6850/14090]	Time 0.882 (0.767)	Data 0.001 (0.002)	Loss 2.4277 (2.2083)	Prec@1 39.062 (44.435)	Prec@5 68.750 (75.041)
Epoch: [41][6860/14090]	Time 0.728 (0.767)	Data 0.001 (0.002)	Loss 1.8865 (2.2082)	Prec@1 55.469 (44.438)	Prec@5 78.125 (75.042)
Epoch: [41][6870/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 2.2632 (2.2082)	Prec@1 45.312 (44.440)	Prec@5 76.562 (75.043)
Epoch: [41][6880/14090]	Time 0.728 (0.767)	Data 0.001 (0.002)	Loss 2.4599 (2.2082)	Prec@1 48.438 (44.441)	Prec@5 68.750 (75.041)
Epoch: [41][6890/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 2.3086 (2.2083)	Prec@1 47.656 (44.441)	Prec@5 72.656 (75.040)
Epoch: [41][6900/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 2.2794 (2.2082)	Prec@1 43.750 (44.442)	Prec@5 78.125 (75.041)
Epoch: [41][6910/14090]	Time 0.727 (0.767)	Data 0.001 (0.002)	Loss 2.3922 (2.2083)	Prec@1 49.219 (44.443)	Prec@5 75.000 (75.041)
Epoch: [41][6920/14090]	Time 0.855 (0.767)	Data 0.001 (0.002)	Loss 2.4596 (2.2083)	Prec@1 39.844 (44.444)	Prec@5 67.969 (75.040)
Epoch: [41][6930/14090]	Time 0.731 (0.767)	Data 0.001 (0.002)	Loss 2.4615 (2.2083)	Prec@1 37.500 (44.445)	Prec@5 70.312 (75.039)
Epoch: [41][6940/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.5476 (2.2084)	Prec@1 35.156 (44.441)	Prec@5 64.844 (75.037)
Epoch: [41][6950/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 2.2840 (2.2084)	Prec@1 38.281 (44.439)	Prec@5 77.344 (75.036)
Epoch: [41][6960/14090]	Time 0.724 (0.767)	Data 0.001 (0.002)	Loss 2.3273 (2.2085)	Prec@1 42.188 (44.439)	Prec@5 75.781 (75.035)
Epoch: [41][6970/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 2.1611 (2.2086)	Prec@1 48.438 (44.437)	Prec@5 78.906 (75.033)
Epoch: [41][6980/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 2.2778 (2.2087)	Prec@1 45.312 (44.438)	Prec@5 73.438 (75.032)
Epoch: [41][6990/14090]	Time 0.871 (0.767)	Data 0.001 (0.002)	Loss 2.0749 (2.2088)	Prec@1 50.781 (44.435)	Prec@5 78.125 (75.030)
Epoch: [41][7000/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 1.7789 (2.2087)	Prec@1 57.812 (44.438)	Prec@5 77.344 (75.032)
Epoch: [41][7010/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.3473 (2.2088)	Prec@1 41.406 (44.435)	Prec@5 70.312 (75.031)
Epoch: [41][7020/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 2.2153 (2.2089)	Prec@1 45.312 (44.436)	Prec@5 73.438 (75.027)
Epoch: [41][7030/14090]	Time 0.732 (0.767)	Data 0.002 (0.002)	Loss 2.3254 (2.2089)	Prec@1 46.094 (44.436)	Prec@5 75.000 (75.028)
Epoch: [41][7040/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 2.2961 (2.2088)	Prec@1 44.531 (44.437)	Prec@5 72.656 (75.027)
Epoch: [41][7050/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 2.4177 (2.2090)	Prec@1 42.969 (44.436)	Prec@5 70.312 (75.025)
Epoch: [41][7060/14090]	Time 0.975 (0.767)	Data 0.001 (0.002)	Loss 2.1956 (2.2089)	Prec@1 42.969 (44.439)	Prec@5 75.781 (75.027)
Epoch: [41][7070/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 2.2778 (2.2089)	Prec@1 42.188 (44.440)	Prec@5 74.219 (75.028)
Epoch: [41][7080/14090]	Time 0.725 (0.767)	Data 0.001 (0.002)	Loss 2.0991 (2.2090)	Prec@1 50.000 (44.438)	Prec@5 79.688 (75.028)
Epoch: [41][7090/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 2.4633 (2.2090)	Prec@1 39.062 (44.437)	Prec@5 74.219 (75.024)
Epoch: [41][7100/14090]	Time 0.726 (0.767)	Data 0.001 (0.002)	Loss 2.3198 (2.2090)	Prec@1 39.062 (44.437)	Prec@5 75.000 (75.025)
Epoch: [41][7110/14090]	Time 0.728 (0.767)	Data 0.001 (0.002)	Loss 2.0775 (2.2091)	Prec@1 45.312 (44.434)	Prec@5 78.125 (75.024)
Epoch: [41][7120/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 2.4843 (2.2092)	Prec@1 48.438 (44.435)	Prec@5 71.094 (75.023)
Epoch: [41][7130/14090]	Time 0.865 (0.767)	Data 0.001 (0.002)	Loss 2.2281 (2.2092)	Prec@1 39.062 (44.431)	Prec@5 71.094 (75.021)
Epoch: [41][7140/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 2.2011 (2.2092)	Prec@1 40.625 (44.429)	Prec@5 74.219 (75.021)
Epoch: [41][7150/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 2.1401 (2.2091)	Prec@1 49.219 (44.433)	Prec@5 71.875 (75.020)
Epoch: [41][7160/14090]	Time 0.760 (0.767)	Data 0.001 (0.002)	Loss 2.3016 (2.2091)	Prec@1 42.969 (44.433)	Prec@5 72.656 (75.021)
Epoch: [41][7170/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 2.3639 (2.2092)	Prec@1 46.094 (44.434)	Prec@5 75.781 (75.021)
Epoch: [41][7180/14090]	Time 0.768 (0.767)	Data 0.001 (0.002)	Loss 2.2089 (2.2092)	Prec@1 47.656 (44.432)	Prec@5 73.438 (75.020)
Epoch: [41][7190/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.3383 (2.2093)	Prec@1 38.281 (44.430)	Prec@5 70.312 (75.021)
Epoch: [41][7200/14090]	Time 0.888 (0.767)	Data 0.001 (0.002)	Loss 2.2805 (2.2094)	Prec@1 40.625 (44.428)	Prec@5 73.438 (75.019)
Epoch: [41][7210/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.3340 (2.2095)	Prec@1 40.625 (44.425)	Prec@5 74.219 (75.018)
Epoch: [41][7220/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 2.1527 (2.2094)	Prec@1 45.312 (44.426)	Prec@5 76.562 (75.018)
Epoch: [41][7230/14090]	Time 0.765 (0.767)	Data 0.001 (0.002)	Loss 2.3046 (2.2094)	Prec@1 45.312 (44.427)	Prec@5 71.094 (75.017)
Epoch: [41][7240/14090]	Time 0.777 (0.767)	Data 0.001 (0.002)	Loss 2.1557 (2.2094)	Prec@1 48.438 (44.428)	Prec@5 75.000 (75.018)
Epoch: [41][7250/14090]	Time 0.757 (0.767)	Data 0.001 (0.002)	Loss 2.4199 (2.2095)	Prec@1 36.719 (44.426)	Prec@5 71.094 (75.017)
Epoch: [41][7260/14090]	Time 0.752 (0.767)	Data 0.002 (0.002)	Loss 2.1414 (2.2097)	Prec@1 46.094 (44.423)	Prec@5 76.562 (75.012)
Epoch: [41][7270/14090]	Time 0.877 (0.767)	Data 0.001 (0.002)	Loss 2.1115 (2.2096)	Prec@1 46.094 (44.423)	Prec@5 77.344 (75.014)
Epoch: [41][7280/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 2.2354 (2.2098)	Prec@1 43.750 (44.420)	Prec@5 71.094 (75.012)
Epoch: [41][7290/14090]	Time 0.761 (0.767)	Data 0.001 (0.002)	Loss 2.0408 (2.2097)	Prec@1 45.312 (44.421)	Prec@5 72.656 (75.011)
Epoch: [41][7300/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 2.5782 (2.2098)	Prec@1 37.500 (44.420)	Prec@5 67.969 (75.008)
Epoch: [41][7310/14090]	Time 0.757 (0.767)	Data 0.001 (0.002)	Loss 2.2883 (2.2099)	Prec@1 43.750 (44.417)	Prec@5 70.312 (75.005)
Epoch: [41][7320/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 2.4575 (2.2099)	Prec@1 43.750 (44.417)	Prec@5 67.188 (75.005)
Epoch: [41][7330/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.1564 (2.2100)	Prec@1 45.312 (44.414)	Prec@5 76.562 (75.003)
Epoch: [41][7340/14090]	Time 0.851 (0.767)	Data 0.001 (0.002)	Loss 1.8517 (2.2099)	Prec@1 50.781 (44.416)	Prec@5 83.594 (75.006)
Epoch: [41][7350/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 2.0831 (2.2099)	Prec@1 42.188 (44.414)	Prec@5 78.125 (75.005)
Epoch: [41][7360/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 2.0990 (2.2099)	Prec@1 47.656 (44.414)	Prec@5 81.250 (75.006)
Epoch: [41][7370/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 2.0373 (2.2100)	Prec@1 50.781 (44.411)	Prec@5 79.688 (75.006)
Epoch: [41][7380/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 2.0825 (2.2100)	Prec@1 46.094 (44.411)	Prec@5 76.562 (75.006)
Epoch: [41][7390/14090]	Time 0.761 (0.767)	Data 0.001 (0.002)	Loss 1.9866 (2.2100)	Prec@1 46.094 (44.410)	Prec@5 78.125 (75.006)
Epoch: [41][7400/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 2.1083 (2.2101)	Prec@1 50.781 (44.409)	Prec@5 78.906 (75.006)
Epoch: [41][7410/14090]	Time 0.815 (0.767)	Data 0.001 (0.002)	Loss 2.2523 (2.2101)	Prec@1 43.750 (44.411)	Prec@5 71.875 (75.005)
Epoch: [41][7420/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 2.2590 (2.2100)	Prec@1 46.875 (44.413)	Prec@5 77.344 (75.006)
Epoch: [41][7430/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 2.2984 (2.2100)	Prec@1 47.656 (44.412)	Prec@5 74.219 (75.007)
Epoch: [41][7440/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 2.1705 (2.2101)	Prec@1 44.531 (44.411)	Prec@5 75.000 (75.006)
Epoch: [41][7450/14090]	Time 0.771 (0.767)	Data 0.001 (0.002)	Loss 2.1591 (2.2100)	Prec@1 47.656 (44.415)	Prec@5 76.562 (75.008)
Epoch: [41][7460/14090]	Time 0.767 (0.767)	Data 0.001 (0.002)	Loss 2.0789 (2.2100)	Prec@1 47.656 (44.414)	Prec@5 76.562 (75.008)
Epoch: [41][7470/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.0424 (2.2100)	Prec@1 46.875 (44.412)	Prec@5 76.562 (75.007)
Epoch: [41][7480/14090]	Time 0.869 (0.767)	Data 0.001 (0.002)	Loss 2.2602 (2.2100)	Prec@1 41.406 (44.411)	Prec@5 74.219 (75.008)
Epoch: [41][7490/14090]	Time 0.761 (0.767)	Data 0.001 (0.002)	Loss 2.2453 (2.2100)	Prec@1 37.500 (44.410)	Prec@5 74.219 (75.007)
Epoch: [41][7500/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 2.1347 (2.2099)	Prec@1 49.219 (44.411)	Prec@5 75.000 (75.009)
Epoch: [41][7510/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 2.1175 (2.2099)	Prec@1 46.094 (44.411)	Prec@5 76.562 (75.008)
Epoch: [41][7520/14090]	Time 0.778 (0.767)	Data 0.001 (0.001)	Loss 2.0368 (2.2099)	Prec@1 46.875 (44.411)	Prec@5 79.688 (75.009)
Epoch: [41][7530/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 2.2874 (2.2098)	Prec@1 45.312 (44.412)	Prec@5 69.531 (75.009)
Epoch: [41][7540/14090]	Time 0.771 (0.767)	Data 0.001 (0.001)	Loss 2.2947 (2.2099)	Prec@1 43.750 (44.410)	Prec@5 75.000 (75.008)
Epoch: [41][7550/14090]	Time 0.874 (0.767)	Data 0.001 (0.001)	Loss 2.1059 (2.2099)	Prec@1 42.969 (44.413)	Prec@5 78.906 (75.010)
Epoch: [41][7560/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 2.1551 (2.2099)	Prec@1 46.875 (44.413)	Prec@5 77.344 (75.010)
Epoch: [41][7570/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 2.1533 (2.2099)	Prec@1 46.094 (44.414)	Prec@5 74.219 (75.008)
Epoch: [41][7580/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 2.0704 (2.2099)	Prec@1 43.750 (44.414)	Prec@5 76.562 (75.008)
Epoch: [41][7590/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 2.2136 (2.2099)	Prec@1 41.406 (44.414)	Prec@5 72.656 (75.006)
Epoch: [41][7600/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 2.3254 (2.2100)	Prec@1 37.500 (44.414)	Prec@5 75.000 (75.007)
Epoch: [41][7610/14090]	Time 0.768 (0.767)	Data 0.001 (0.001)	Loss 2.0780 (2.2100)	Prec@1 39.844 (44.412)	Prec@5 76.562 (75.005)
Epoch: [41][7620/14090]	Time 0.906 (0.767)	Data 0.001 (0.001)	Loss 2.0351 (2.2100)	Prec@1 42.188 (44.414)	Prec@5 82.031 (75.006)
Epoch: [41][7630/14090]	Time 0.773 (0.767)	Data 0.001 (0.001)	Loss 2.1634 (2.2101)	Prec@1 46.875 (44.412)	Prec@5 75.781 (75.004)
Epoch: [41][7640/14090]	Time 0.722 (0.767)	Data 0.001 (0.001)	Loss 2.1986 (2.2101)	Prec@1 46.094 (44.412)	Prec@5 79.688 (75.004)
Epoch: [41][7650/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 2.2261 (2.2101)	Prec@1 51.562 (44.414)	Prec@5 73.438 (75.005)
Epoch: [41][7660/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.1641 (2.2101)	Prec@1 46.875 (44.413)	Prec@5 72.656 (75.006)
Epoch: [41][7670/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 2.3713 (2.2102)	Prec@1 40.625 (44.409)	Prec@5 72.656 (75.005)
Epoch: [41][7680/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 2.1447 (2.2102)	Prec@1 47.656 (44.412)	Prec@5 75.781 (75.006)
Epoch: [41][7690/14090]	Time 0.891 (0.767)	Data 0.001 (0.001)	Loss 2.0085 (2.2102)	Prec@1 53.125 (44.412)	Prec@5 81.250 (75.006)
Epoch: [41][7700/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 2.4492 (2.2101)	Prec@1 44.531 (44.414)	Prec@5 70.312 (75.006)
Epoch: [41][7710/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.4854 (2.2102)	Prec@1 38.281 (44.414)	Prec@5 68.750 (75.007)
Epoch: [41][7720/14090]	Time 0.776 (0.767)	Data 0.001 (0.001)	Loss 2.3681 (2.2102)	Prec@1 39.844 (44.411)	Prec@5 75.781 (75.008)
Epoch: [41][7730/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 2.1638 (2.2103)	Prec@1 49.219 (44.409)	Prec@5 78.125 (75.008)
Epoch: [41][7740/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 2.3311 (2.2104)	Prec@1 48.438 (44.407)	Prec@5 73.438 (75.008)
Epoch: [41][7750/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 2.1636 (2.2103)	Prec@1 41.406 (44.406)	Prec@5 75.781 (75.009)
Epoch: [41][7760/14090]	Time 0.884 (0.767)	Data 0.001 (0.001)	Loss 2.1510 (2.2103)	Prec@1 42.188 (44.407)	Prec@5 73.438 (75.008)
Epoch: [41][7770/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 2.3069 (2.2104)	Prec@1 41.406 (44.405)	Prec@5 71.094 (75.005)
Epoch: [41][7780/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.0414 (2.2104)	Prec@1 46.875 (44.407)	Prec@5 77.344 (75.004)
Epoch: [41][7790/14090]	Time 0.786 (0.767)	Data 0.001 (0.001)	Loss 2.1470 (2.2104)	Prec@1 50.000 (44.411)	Prec@5 76.562 (75.007)
Epoch: [41][7800/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 2.1848 (2.2104)	Prec@1 42.969 (44.410)	Prec@5 78.125 (75.005)
Epoch: [41][7810/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 2.0223 (2.2104)	Prec@1 43.750 (44.410)	Prec@5 75.781 (75.005)
Epoch: [41][7820/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 2.1486 (2.2104)	Prec@1 46.875 (44.406)	Prec@5 75.781 (75.005)
Epoch: [41][7830/14090]	Time 0.879 (0.767)	Data 0.001 (0.001)	Loss 2.1190 (2.2104)	Prec@1 43.750 (44.407)	Prec@5 81.250 (75.007)
Epoch: [41][7840/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 2.4721 (2.2104)	Prec@1 43.750 (44.408)	Prec@5 68.750 (75.006)
Epoch: [41][7850/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 2.1649 (2.2104)	Prec@1 40.625 (44.409)	Prec@5 77.344 (75.005)
Epoch: [41][7860/14090]	Time 0.770 (0.767)	Data 0.001 (0.001)	Loss 2.1811 (2.2103)	Prec@1 50.000 (44.412)	Prec@5 74.219 (75.005)
Epoch: [41][7870/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 2.3527 (2.2103)	Prec@1 41.406 (44.412)	Prec@5 67.969 (75.003)
Epoch: [41][7880/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 2.2348 (2.2104)	Prec@1 46.094 (44.412)	Prec@5 75.000 (75.004)
Epoch: [41][7890/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 2.1848 (2.2103)	Prec@1 52.344 (44.412)	Prec@5 71.094 (75.003)
Epoch: [41][7900/14090]	Time 0.862 (0.767)	Data 0.001 (0.001)	Loss 2.0563 (2.2102)	Prec@1 44.531 (44.414)	Prec@5 75.000 (75.004)
Epoch: [41][7910/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.4002 (2.2104)	Prec@1 35.156 (44.411)	Prec@5 71.875 (75.003)
Epoch: [41][7920/14090]	Time 0.724 (0.767)	Data 0.001 (0.001)	Loss 2.1425 (2.2104)	Prec@1 42.969 (44.409)	Prec@5 77.344 (75.002)
Epoch: [41][7930/14090]	Time 0.783 (0.767)	Data 0.001 (0.001)	Loss 2.0730 (2.2104)	Prec@1 52.344 (44.412)	Prec@5 76.562 (75.003)
Epoch: [41][7940/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 2.1652 (2.2103)	Prec@1 46.094 (44.413)	Prec@5 78.125 (75.002)
Epoch: [41][7950/14090]	Time 0.779 (0.767)	Data 0.001 (0.001)	Loss 2.1559 (2.2104)	Prec@1 47.656 (44.411)	Prec@5 74.219 (75.000)
Epoch: [41][7960/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 2.2228 (2.2104)	Prec@1 46.094 (44.411)	Prec@5 71.875 (75.002)
Epoch: [41][7970/14090]	Time 0.874 (0.767)	Data 0.001 (0.001)	Loss 2.2154 (2.2104)	Prec@1 41.406 (44.411)	Prec@5 74.219 (75.001)
Epoch: [41][7980/14090]	Time 0.770 (0.767)	Data 0.001 (0.001)	Loss 2.1845 (2.2103)	Prec@1 36.719 (44.412)	Prec@5 76.562 (75.001)
Epoch: [41][7990/14090]	Time 0.764 (0.767)	Data 0.001 (0.001)	Loss 2.4547 (2.2103)	Prec@1 36.719 (44.413)	Prec@5 64.844 (75.000)
Epoch: [41][8000/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 2.2148 (2.2103)	Prec@1 41.406 (44.412)	Prec@5 78.906 (75.002)
Epoch: [41][8010/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 2.2614 (2.2103)	Prec@1 39.844 (44.410)	Prec@5 75.781 (75.001)
Epoch: [41][8020/14090]	Time 0.767 (0.767)	Data 0.001 (0.001)	Loss 2.1949 (2.2103)	Prec@1 46.094 (44.410)	Prec@5 71.875 (75.002)
Epoch: [41][8030/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 2.1852 (2.2103)	Prec@1 44.531 (44.409)	Prec@5 79.688 (75.003)
Epoch: [41][8040/14090]	Time 0.861 (0.767)	Data 0.001 (0.001)	Loss 2.4011 (2.2104)	Prec@1 44.531 (44.406)	Prec@5 75.000 (75.003)
Epoch: [41][8050/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 2.2765 (2.2104)	Prec@1 49.219 (44.407)	Prec@5 75.000 (75.005)
Epoch: [41][8060/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 2.0797 (2.2104)	Prec@1 45.312 (44.405)	Prec@5 78.906 (75.004)
Epoch: [41][8070/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 2.2643 (2.2104)	Prec@1 44.531 (44.406)	Prec@5 73.438 (75.003)
Epoch: [41][8080/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 2.2007 (2.2105)	Prec@1 44.531 (44.404)	Prec@5 73.438 (75.002)
Epoch: [41][8090/14090]	Time 0.763 (0.767)	Data 0.001 (0.001)	Loss 2.4766 (2.2106)	Prec@1 38.281 (44.402)	Prec@5 67.969 (74.999)
Epoch: [41][8100/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 2.0742 (2.2106)	Prec@1 46.875 (44.403)	Prec@5 73.438 (74.999)
Epoch: [41][8110/14090]	Time 0.873 (0.767)	Data 0.001 (0.001)	Loss 2.2336 (2.2105)	Prec@1 38.281 (44.404)	Prec@5 70.312 (74.999)
Epoch: [41][8120/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 2.2477 (2.2105)	Prec@1 45.312 (44.406)	Prec@5 72.656 (74.999)
Epoch: [41][8130/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 2.3208 (2.2104)	Prec@1 42.188 (44.406)	Prec@5 67.188 (74.999)
Epoch: [41][8140/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 2.2122 (2.2103)	Prec@1 42.969 (44.409)	Prec@5 72.656 (75.000)
Epoch: [41][8150/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 2.2240 (2.2103)	Prec@1 46.875 (44.410)	Prec@5 76.562 (74.999)
Epoch: [41][8160/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.1109 (2.2103)	Prec@1 45.312 (44.412)	Prec@5 75.781 (74.999)
Epoch: [41][8170/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 1.9229 (2.2102)	Prec@1 52.344 (44.414)	Prec@5 78.906 (75.001)
Epoch: [41][8180/14090]	Time 0.873 (0.767)	Data 0.001 (0.001)	Loss 1.8854 (2.2102)	Prec@1 51.562 (44.414)	Prec@5 82.812 (75.002)
Epoch: [41][8190/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 2.2701 (2.2102)	Prec@1 40.625 (44.412)	Prec@5 69.531 (75.002)
Epoch: [41][8200/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 2.1362 (2.2102)	Prec@1 48.438 (44.413)	Prec@5 77.344 (75.001)
Epoch: [41][8210/14090]	Time 0.776 (0.767)	Data 0.001 (0.001)	Loss 2.2908 (2.2103)	Prec@1 36.719 (44.411)	Prec@5 77.344 (75.001)
Epoch: [41][8220/14090]	Time 0.779 (0.767)	Data 0.001 (0.001)	Loss 2.1175 (2.2103)	Prec@1 49.219 (44.413)	Prec@5 74.219 (75.000)
Epoch: [41][8230/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 2.1111 (2.2103)	Prec@1 44.531 (44.414)	Prec@5 78.906 (75.000)
Epoch: [41][8240/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 2.3401 (2.2103)	Prec@1 47.656 (44.412)	Prec@5 72.656 (74.999)
Epoch: [41][8250/14090]	Time 0.864 (0.767)	Data 0.001 (0.001)	Loss 2.0019 (2.2103)	Prec@1 44.531 (44.410)	Prec@5 82.031 (75.001)
Epoch: [41][8260/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 2.2795 (2.2103)	Prec@1 48.438 (44.411)	Prec@5 75.000 (75.004)
Epoch: [41][8270/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 2.2518 (2.2104)	Prec@1 45.312 (44.410)	Prec@5 72.656 (75.002)
Epoch: [41][8280/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.0328 (2.2104)	Prec@1 47.656 (44.408)	Prec@5 76.562 (75.000)
Epoch: [41][8290/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 2.3093 (2.2105)	Prec@1 40.625 (44.408)	Prec@5 71.875 (75.001)
Epoch: [41][8300/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 2.2353 (2.2105)	Prec@1 46.094 (44.407)	Prec@5 70.312 (75.001)
Epoch: [41][8310/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 2.3525 (2.2105)	Prec@1 36.719 (44.408)	Prec@5 71.875 (75.001)
Epoch: [41][8320/14090]	Time 0.874 (0.767)	Data 0.001 (0.001)	Loss 2.2128 (2.2103)	Prec@1 44.531 (44.410)	Prec@5 75.781 (75.003)
Epoch: [41][8330/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 2.5257 (2.2103)	Prec@1 42.188 (44.412)	Prec@5 71.875 (75.003)
Epoch: [41][8340/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 2.2401 (2.2103)	Prec@1 43.750 (44.412)	Prec@5 72.656 (75.002)
Epoch: [41][8350/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 2.1230 (2.2103)	Prec@1 43.750 (44.414)	Prec@5 76.562 (75.004)
Epoch: [41][8360/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 2.3002 (2.2103)	Prec@1 47.656 (44.412)	Prec@5 70.312 (75.002)
Epoch: [41][8370/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 2.1493 (2.2104)	Prec@1 46.094 (44.411)	Prec@5 75.000 (75.001)
Epoch: [41][8380/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 2.5622 (2.2104)	Prec@1 39.062 (44.408)	Prec@5 70.312 (75.001)
Epoch: [41][8390/14090]	Time 0.868 (0.767)	Data 0.001 (0.001)	Loss 2.1173 (2.2104)	Prec@1 42.188 (44.408)	Prec@5 75.781 (75.000)
Epoch: [41][8400/14090]	Time 0.768 (0.767)	Data 0.001 (0.001)	Loss 2.4941 (2.2104)	Prec@1 37.500 (44.409)	Prec@5 69.531 (75.001)
Epoch: [41][8410/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 2.1834 (2.2103)	Prec@1 46.094 (44.410)	Prec@5 76.562 (75.000)
Epoch: [41][8420/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 2.0401 (2.2103)	Prec@1 49.219 (44.413)	Prec@5 76.562 (75.002)
Epoch: [41][8430/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 2.4657 (2.2103)	Prec@1 39.062 (44.413)	Prec@5 69.531 (75.001)
Epoch: [41][8440/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 2.0945 (2.2103)	Prec@1 42.969 (44.412)	Prec@5 77.344 (75.002)
Epoch: [41][8450/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 1.8502 (2.2103)	Prec@1 54.688 (44.415)	Prec@5 78.906 (75.002)
Epoch: [41][8460/14090]	Time 0.993 (0.767)	Data 0.001 (0.001)	Loss 2.3380 (2.2103)	Prec@1 39.844 (44.414)	Prec@5 71.875 (75.002)
Epoch: [41][8470/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 2.3132 (2.2103)	Prec@1 41.406 (44.414)	Prec@5 73.438 (75.004)
Epoch: [41][8480/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 2.1629 (2.2102)	Prec@1 46.094 (44.416)	Prec@5 75.781 (75.004)
Epoch: [41][8490/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 1.9224 (2.2101)	Prec@1 53.125 (44.418)	Prec@5 82.031 (75.007)
Epoch: [41][8500/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 2.1118 (2.2101)	Prec@1 44.531 (44.420)	Prec@5 78.125 (75.009)
Epoch: [41][8510/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 2.0603 (2.2101)	Prec@1 46.875 (44.417)	Prec@5 78.125 (75.007)
Epoch: [41][8520/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 2.3177 (2.2101)	Prec@1 42.188 (44.418)	Prec@5 69.531 (75.007)
Epoch: [41][8530/14090]	Time 0.892 (0.767)	Data 0.001 (0.001)	Loss 2.5654 (2.2102)	Prec@1 37.500 (44.417)	Prec@5 68.750 (75.007)
Epoch: [41][8540/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 2.4353 (2.2102)	Prec@1 39.062 (44.417)	Prec@5 70.312 (75.006)
Epoch: [41][8550/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.1745 (2.2102)	Prec@1 46.094 (44.417)	Prec@5 74.219 (75.006)
Epoch: [41][8560/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 2.1519 (2.2103)	Prec@1 41.406 (44.413)	Prec@5 78.906 (75.006)
Epoch: [41][8570/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.2462 (2.2103)	Prec@1 50.781 (44.413)	Prec@5 72.656 (75.005)
Epoch: [41][8580/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 2.1549 (2.2103)	Prec@1 46.094 (44.417)	Prec@5 74.219 (75.006)
Epoch: [41][8590/14090]	Time 0.765 (0.767)	Data 0.001 (0.001)	Loss 2.1939 (2.2102)	Prec@1 47.656 (44.419)	Prec@5 73.438 (75.007)
Epoch: [41][8600/14090]	Time 0.876 (0.767)	Data 0.001 (0.001)	Loss 2.4841 (2.2103)	Prec@1 46.094 (44.418)	Prec@5 73.438 (75.007)
Epoch: [41][8610/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 2.0960 (2.2103)	Prec@1 42.969 (44.418)	Prec@5 82.031 (75.005)
Epoch: [41][8620/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 2.0920 (2.2103)	Prec@1 50.781 (44.418)	Prec@5 80.469 (75.004)
Epoch: [41][8630/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 2.3550 (2.2104)	Prec@1 37.500 (44.417)	Prec@5 70.312 (75.002)
Epoch: [41][8640/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.4031 (2.2103)	Prec@1 40.625 (44.419)	Prec@5 74.219 (75.004)
Epoch: [41][8650/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 2.1268 (2.2103)	Prec@1 43.750 (44.421)	Prec@5 73.438 (75.004)
Epoch: [41][8660/14090]	Time 0.778 (0.767)	Data 0.001 (0.001)	Loss 2.4025 (2.2103)	Prec@1 46.094 (44.420)	Prec@5 72.656 (75.004)
Epoch: [41][8670/14090]	Time 0.848 (0.767)	Data 0.001 (0.001)	Loss 2.2023 (2.2103)	Prec@1 39.844 (44.421)	Prec@5 79.688 (75.004)
Epoch: [41][8680/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 2.2052 (2.2104)	Prec@1 44.531 (44.419)	Prec@5 71.094 (75.003)
Epoch: [41][8690/14090]	Time 0.724 (0.767)	Data 0.001 (0.001)	Loss 2.3142 (2.2103)	Prec@1 40.625 (44.420)	Prec@5 74.219 (75.005)
Epoch: [41][8700/14090]	Time 0.764 (0.767)	Data 0.001 (0.001)	Loss 2.4538 (2.2104)	Prec@1 40.625 (44.419)	Prec@5 67.969 (75.002)
Epoch: [41][8710/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.3864 (2.2104)	Prec@1 39.844 (44.419)	Prec@5 70.312 (75.005)
Epoch: [41][8720/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 2.1690 (2.2103)	Prec@1 49.219 (44.422)	Prec@5 71.875 (75.007)
Epoch: [41][8730/14090]	Time 0.726 (0.767)	Data 0.001 (0.001)	Loss 2.1430 (2.2102)	Prec@1 44.531 (44.422)	Prec@5 74.219 (75.007)
Epoch: [41][8740/14090]	Time 0.877 (0.767)	Data 0.001 (0.001)	Loss 1.8550 (2.2102)	Prec@1 53.125 (44.424)	Prec@5 79.688 (75.008)
Epoch: [41][8750/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 2.2602 (2.2101)	Prec@1 44.531 (44.423)	Prec@5 71.094 (75.008)
Epoch: [41][8760/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 2.0247 (2.2101)	Prec@1 46.875 (44.422)	Prec@5 78.125 (75.009)
Epoch: [41][8770/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 2.1576 (2.2101)	Prec@1 43.750 (44.421)	Prec@5 75.000 (75.008)
Epoch: [41][8780/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.3073 (2.2103)	Prec@1 39.062 (44.417)	Prec@5 74.219 (75.005)
Epoch: [41][8790/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 2.5581 (2.2103)	Prec@1 39.844 (44.415)	Prec@5 67.188 (75.004)
Epoch: [41][8800/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 2.1743 (2.2103)	Prec@1 40.625 (44.416)	Prec@5 78.906 (75.005)
Epoch: [41][8810/14090]	Time 0.873 (0.767)	Data 0.001 (0.001)	Loss 2.1534 (2.2102)	Prec@1 39.844 (44.417)	Prec@5 78.125 (75.008)
Epoch: [41][8820/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 2.2468 (2.2102)	Prec@1 46.875 (44.417)	Prec@5 75.781 (75.006)
Epoch: [41][8830/14090]	Time 0.783 (0.767)	Data 0.001 (0.001)	Loss 2.1117 (2.2102)	Prec@1 46.094 (44.419)	Prec@5 75.000 (75.007)
Epoch: [41][8840/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 2.3630 (2.2102)	Prec@1 40.625 (44.419)	Prec@5 74.219 (75.007)
Epoch: [41][8850/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 2.3913 (2.2102)	Prec@1 42.188 (44.420)	Prec@5 72.656 (75.007)
Epoch: [41][8860/14090]	Time 0.765 (0.767)	Data 0.001 (0.001)	Loss 2.2971 (2.2102)	Prec@1 35.938 (44.419)	Prec@5 76.562 (75.009)
Epoch: [41][8870/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.1858 (2.2102)	Prec@1 50.000 (44.420)	Prec@5 75.781 (75.010)
Epoch: [41][8880/14090]	Time 0.888 (0.767)	Data 0.001 (0.001)	Loss 2.4037 (2.2103)	Prec@1 42.969 (44.420)	Prec@5 73.438 (75.010)
Epoch: [41][8890/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.4015 (2.2103)	Prec@1 41.406 (44.420)	Prec@5 76.562 (75.011)
Epoch: [41][8900/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 2.3866 (2.2103)	Prec@1 40.625 (44.421)	Prec@5 71.875 (75.009)
Epoch: [41][8910/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 2.2881 (2.2103)	Prec@1 42.188 (44.421)	Prec@5 74.219 (75.009)
Epoch: [41][8920/14090]	Time 0.722 (0.767)	Data 0.001 (0.001)	Loss 2.2996 (2.2103)	Prec@1 49.219 (44.421)	Prec@5 71.875 (75.007)
Epoch: [41][8930/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 2.0972 (2.2104)	Prec@1 46.875 (44.418)	Prec@5 74.219 (75.007)
Epoch: [41][8940/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 2.6082 (2.2104)	Prec@1 33.594 (44.418)	Prec@5 64.844 (75.007)
Epoch: [41][8950/14090]	Time 0.820 (0.767)	Data 0.001 (0.001)	Loss 1.8667 (2.2103)	Prec@1 52.344 (44.418)	Prec@5 80.469 (75.008)
Epoch: [41][8960/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.1715 (2.2103)	Prec@1 46.094 (44.418)	Prec@5 76.562 (75.009)
Epoch: [41][8970/14090]	Time 0.722 (0.767)	Data 0.001 (0.001)	Loss 2.2037 (2.2104)	Prec@1 39.062 (44.417)	Prec@5 74.219 (75.007)
Epoch: [41][8980/14090]	Time 0.765 (0.767)	Data 0.001 (0.001)	Loss 2.3769 (2.2104)	Prec@1 44.531 (44.415)	Prec@5 71.875 (75.007)
Epoch: [41][8990/14090]	Time 0.724 (0.767)	Data 0.001 (0.001)	Loss 2.4533 (2.2104)	Prec@1 42.188 (44.415)	Prec@5 71.094 (75.006)
Epoch: [41][9000/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 1.9773 (2.2104)	Prec@1 48.438 (44.417)	Prec@5 80.469 (75.005)
Epoch: [41][9010/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 2.1079 (2.2105)	Prec@1 44.531 (44.416)	Prec@5 78.125 (75.003)
Epoch: [41][9020/14090]	Time 0.866 (0.767)	Data 0.001 (0.001)	Loss 2.3338 (2.2105)	Prec@1 42.188 (44.414)	Prec@5 75.000 (75.003)
Epoch: [41][9030/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 2.1478 (2.2104)	Prec@1 45.312 (44.417)	Prec@5 77.344 (75.004)
Epoch: [41][9040/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.1978 (2.2105)	Prec@1 47.656 (44.415)	Prec@5 76.562 (75.001)
Epoch: [41][9050/14090]	Time 0.769 (0.767)	Data 0.001 (0.001)	Loss 2.1675 (2.2105)	Prec@1 43.750 (44.416)	Prec@5 78.125 (75.001)
Epoch: [41][9060/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 2.2956 (2.2106)	Prec@1 43.750 (44.415)	Prec@5 73.438 (75.001)
Epoch: [41][9070/14090]	Time 0.771 (0.767)	Data 0.001 (0.001)	Loss 2.1620 (2.2106)	Prec@1 46.094 (44.415)	Prec@5 76.562 (75.000)
Epoch: [41][9080/14090]	Time 0.724 (0.767)	Data 0.001 (0.001)	Loss 2.1264 (2.2105)	Prec@1 46.094 (44.416)	Prec@5 77.344 (75.000)
Epoch: [41][9090/14090]	Time 0.867 (0.767)	Data 0.001 (0.001)	Loss 2.2246 (2.2105)	Prec@1 43.750 (44.416)	Prec@5 72.656 (74.998)
Epoch: [41][9100/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 1.8816 (2.2104)	Prec@1 49.219 (44.418)	Prec@5 81.250 (74.999)
Epoch: [41][9110/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 2.4206 (2.2104)	Prec@1 42.188 (44.420)	Prec@5 68.750 (74.999)
Epoch: [41][9120/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 2.3036 (2.2105)	Prec@1 41.406 (44.419)	Prec@5 74.219 (74.997)
Epoch: [41][9130/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 2.2312 (2.2105)	Prec@1 46.094 (44.418)	Prec@5 74.219 (74.996)
Epoch: [41][9140/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 2.2375 (2.2106)	Prec@1 40.625 (44.418)	Prec@5 75.000 (74.995)
Epoch: [41][9150/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 1.8687 (2.2106)	Prec@1 50.781 (44.417)	Prec@5 84.375 (74.995)
Epoch: [41][9160/14090]	Time 0.856 (0.767)	Data 0.001 (0.001)	Loss 2.0276 (2.2106)	Prec@1 47.656 (44.417)	Prec@5 78.125 (74.995)
Epoch: [41][9170/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.1102 (2.2106)	Prec@1 46.094 (44.415)	Prec@5 77.344 (74.996)
Epoch: [41][9180/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 2.1973 (2.2106)	Prec@1 50.000 (44.415)	Prec@5 72.656 (74.995)
Epoch: [41][9190/14090]	Time 0.727 (0.767)	Data 0.003 (0.001)	Loss 2.4404 (2.2106)	Prec@1 39.062 (44.416)	Prec@5 68.750 (74.993)
Epoch: [41][9200/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 2.5038 (2.2108)	Prec@1 38.281 (44.413)	Prec@5 69.531 (74.989)
Epoch: [41][9210/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 2.4117 (2.2108)	Prec@1 39.844 (44.412)	Prec@5 71.094 (74.988)
Epoch: [41][9220/14090]	Time 0.766 (0.767)	Data 0.001 (0.001)	Loss 2.2277 (2.2108)	Prec@1 42.188 (44.412)	Prec@5 76.562 (74.991)
Epoch: [41][9230/14090]	Time 0.853 (0.767)	Data 0.001 (0.001)	Loss 2.0460 (2.2108)	Prec@1 47.656 (44.412)	Prec@5 80.469 (74.991)
Epoch: [41][9240/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 2.1199 (2.2107)	Prec@1 41.406 (44.413)	Prec@5 77.344 (74.993)
Epoch: [41][9250/14090]	Time 0.778 (0.767)	Data 0.001 (0.001)	Loss 2.5520 (2.2108)	Prec@1 39.062 (44.409)	Prec@5 71.094 (74.992)
Epoch: [41][9260/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 2.0570 (2.2108)	Prec@1 46.875 (44.410)	Prec@5 76.562 (74.994)
Epoch: [41][9270/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 2.2439 (2.2107)	Prec@1 46.094 (44.411)	Prec@5 74.219 (74.996)
Epoch: [41][9280/14090]	Time 0.726 (0.767)	Data 0.001 (0.001)	Loss 2.2658 (2.2107)	Prec@1 46.094 (44.414)	Prec@5 73.438 (74.997)
Epoch: [41][9290/14090]	Time 0.781 (0.767)	Data 0.001 (0.001)	Loss 2.2799 (2.2107)	Prec@1 48.438 (44.416)	Prec@5 71.875 (74.996)
Epoch: [41][9300/14090]	Time 0.994 (0.767)	Data 0.001 (0.001)	Loss 2.4121 (2.2108)	Prec@1 38.281 (44.415)	Prec@5 76.562 (74.995)
Epoch: [41][9310/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 2.0073 (2.2107)	Prec@1 50.781 (44.416)	Prec@5 78.125 (74.997)
Epoch: [41][9320/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.1185 (2.2107)	Prec@1 49.219 (44.416)	Prec@5 78.906 (74.998)
Epoch: [41][9330/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 2.4213 (2.2107)	Prec@1 40.625 (44.416)	Prec@5 74.219 (74.997)
Epoch: [41][9340/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 2.1686 (2.2107)	Prec@1 46.094 (44.417)	Prec@5 78.906 (74.999)
Epoch: [41][9350/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 2.1864 (2.2107)	Prec@1 39.844 (44.418)	Prec@5 74.219 (74.997)
Epoch: [41][9360/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 2.0705 (2.2107)	Prec@1 49.219 (44.418)	Prec@5 79.688 (74.998)
Epoch: [41][9370/14090]	Time 0.857 (0.767)	Data 0.001 (0.001)	Loss 2.1334 (2.2107)	Prec@1 47.656 (44.417)	Prec@5 77.344 (74.998)
Epoch: [41][9380/14090]	Time 0.721 (0.766)	Data 0.001 (0.001)	Loss 2.2027 (2.2108)	Prec@1 43.750 (44.416)	Prec@5 78.906 (74.997)
Epoch: [41][9390/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.3137 (2.2108)	Prec@1 42.188 (44.413)	Prec@5 78.125 (74.998)
Epoch: [41][9400/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 1.9751 (2.2108)	Prec@1 46.094 (44.413)	Prec@5 85.156 (75.000)
Epoch: [41][9410/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.1888 (2.2108)	Prec@1 41.406 (44.411)	Prec@5 72.656 (74.998)
Epoch: [41][9420/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 2.1692 (2.2109)	Prec@1 44.531 (44.409)	Prec@5 75.781 (74.997)
Epoch: [41][9430/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 2.4084 (2.2109)	Prec@1 46.094 (44.409)	Prec@5 75.000 (74.998)
Epoch: [41][9440/14090]	Time 0.877 (0.767)	Data 0.001 (0.001)	Loss 2.0911 (2.2110)	Prec@1 50.000 (44.409)	Prec@5 78.906 (74.996)
Epoch: [41][9450/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 2.3237 (2.2109)	Prec@1 43.750 (44.408)	Prec@5 72.656 (74.997)
Epoch: [41][9460/14090]	Time 0.725 (0.767)	Data 0.001 (0.001)	Loss 2.1842 (2.2109)	Prec@1 46.875 (44.408)	Prec@5 78.125 (74.998)
Epoch: [41][9470/14090]	Time 0.758 (0.767)	Data 0.003 (0.001)	Loss 2.3893 (2.2109)	Prec@1 39.062 (44.409)	Prec@5 73.438 (74.998)
Epoch: [41][9480/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.7009 (2.2110)	Prec@1 39.062 (44.408)	Prec@5 67.188 (74.996)
Epoch: [41][9490/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.0373 (2.2110)	Prec@1 45.312 (44.406)	Prec@5 81.250 (74.994)
Epoch: [41][9500/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.2816 (2.2110)	Prec@1 46.875 (44.406)	Prec@5 72.656 (74.995)
Epoch: [41][9510/14090]	Time 0.851 (0.766)	Data 0.001 (0.001)	Loss 2.1331 (2.2109)	Prec@1 50.000 (44.407)	Prec@5 77.344 (74.998)
Epoch: [41][9520/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.3979 (2.2109)	Prec@1 38.281 (44.408)	Prec@5 71.094 (74.997)
Epoch: [41][9530/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.3293 (2.2109)	Prec@1 46.094 (44.410)	Prec@5 71.094 (74.998)
Epoch: [41][9540/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.1215 (2.2108)	Prec@1 46.875 (44.412)	Prec@5 74.219 (74.999)
Epoch: [41][9550/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.0844 (2.2108)	Prec@1 42.188 (44.410)	Prec@5 78.906 (74.999)
Epoch: [41][9560/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.1389 (2.2107)	Prec@1 42.969 (44.414)	Prec@5 78.125 (74.999)
Epoch: [41][9570/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 2.4205 (2.2108)	Prec@1 38.281 (44.411)	Prec@5 73.438 (74.998)
Epoch: [41][9580/14090]	Time 1.011 (0.766)	Data 0.001 (0.001)	Loss 2.3519 (2.2107)	Prec@1 39.062 (44.412)	Prec@5 73.438 (75.001)
Epoch: [41][9590/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.3107 (2.2106)	Prec@1 40.625 (44.414)	Prec@5 71.094 (75.002)
Epoch: [41][9600/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.7170 (2.2106)	Prec@1 38.281 (44.414)	Prec@5 65.625 (75.003)
Epoch: [41][9610/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.2642 (2.2107)	Prec@1 42.969 (44.412)	Prec@5 76.562 (75.002)
Epoch: [41][9620/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.1794 (2.2107)	Prec@1 44.531 (44.410)	Prec@5 74.219 (75.002)
Epoch: [41][9630/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.1743 (2.2107)	Prec@1 43.750 (44.409)	Prec@5 72.656 (75.001)
Epoch: [41][9640/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.1338 (2.2107)	Prec@1 49.219 (44.412)	Prec@5 78.125 (75.002)
Epoch: [41][9650/14090]	Time 0.856 (0.766)	Data 0.001 (0.001)	Loss 2.2891 (2.2107)	Prec@1 42.969 (44.412)	Prec@5 71.094 (75.000)
Epoch: [41][9660/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.2703 (2.2108)	Prec@1 43.750 (44.410)	Prec@5 75.781 (74.996)
Epoch: [41][9670/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.1913 (2.2108)	Prec@1 42.969 (44.411)	Prec@5 77.344 (74.996)
Epoch: [41][9680/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.3885 (2.2108)	Prec@1 42.969 (44.412)	Prec@5 73.438 (74.998)
Epoch: [41][9690/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.3546 (2.2108)	Prec@1 40.625 (44.410)	Prec@5 71.094 (74.999)
Epoch: [41][9700/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.1884 (2.2109)	Prec@1 46.875 (44.411)	Prec@5 74.219 (74.997)
Epoch: [41][9710/14090]	Time 0.746 (0.766)	Data 0.002 (0.001)	Loss 2.0940 (2.2110)	Prec@1 47.656 (44.409)	Prec@5 77.344 (74.995)
Epoch: [41][9720/14090]	Time 0.881 (0.767)	Data 0.001 (0.001)	Loss 2.4105 (2.2110)	Prec@1 39.844 (44.407)	Prec@5 70.312 (74.995)
Epoch: [41][9730/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 1.8631 (2.2111)	Prec@1 53.125 (44.406)	Prec@5 84.375 (74.995)
Epoch: [41][9740/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.1253 (2.2109)	Prec@1 43.750 (44.409)	Prec@5 78.906 (74.998)
Epoch: [41][9750/14090]	Time 0.796 (0.766)	Data 0.001 (0.001)	Loss 2.2134 (2.2110)	Prec@1 44.531 (44.408)	Prec@5 73.438 (74.995)
Epoch: [41][9760/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.1745 (2.2110)	Prec@1 44.531 (44.408)	Prec@5 74.219 (74.994)
Epoch: [41][9770/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.1850 (2.2110)	Prec@1 40.625 (44.408)	Prec@5 75.000 (74.992)
Epoch: [41][9780/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.0274 (2.2111)	Prec@1 47.656 (44.406)	Prec@5 81.250 (74.992)
Epoch: [41][9790/14090]	Time 0.824 (0.766)	Data 0.001 (0.001)	Loss 2.3492 (2.2112)	Prec@1 39.844 (44.404)	Prec@5 71.094 (74.991)
Epoch: [41][9800/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.3018 (2.2112)	Prec@1 42.969 (44.402)	Prec@5 72.656 (74.990)
Epoch: [41][9810/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.3811 (2.2113)	Prec@1 39.844 (44.400)	Prec@5 71.875 (74.988)
Epoch: [41][9820/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.3313 (2.2114)	Prec@1 45.312 (44.398)	Prec@5 70.312 (74.986)
Epoch: [41][9830/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.2280 (2.2114)	Prec@1 48.438 (44.400)	Prec@5 74.219 (74.986)
Epoch: [41][9840/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.0926 (2.2114)	Prec@1 48.438 (44.400)	Prec@5 74.219 (74.987)
Epoch: [41][9850/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.0104 (2.2114)	Prec@1 50.000 (44.401)	Prec@5 78.906 (74.988)
Epoch: [41][9860/14090]	Time 1.023 (0.766)	Data 0.001 (0.001)	Loss 2.1587 (2.2113)	Prec@1 50.000 (44.403)	Prec@5 75.000 (74.987)
Epoch: [41][9870/14090]	Time 0.775 (0.767)	Data 0.001 (0.001)	Loss 2.0675 (2.2113)	Prec@1 47.656 (44.402)	Prec@5 81.250 (74.987)
Epoch: [41][9880/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.0712 (2.2113)	Prec@1 52.344 (44.401)	Prec@5 81.250 (74.988)
Epoch: [41][9890/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 2.1664 (2.2114)	Prec@1 45.312 (44.400)	Prec@5 72.656 (74.988)
Epoch: [41][9900/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 2.3134 (2.2114)	Prec@1 42.188 (44.400)	Prec@5 75.781 (74.988)
Epoch: [41][9910/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.0219 (2.2113)	Prec@1 51.562 (44.402)	Prec@5 79.688 (74.990)
Epoch: [41][9920/14090]	Time 0.724 (0.767)	Data 0.001 (0.001)	Loss 2.0390 (2.2113)	Prec@1 50.781 (44.403)	Prec@5 78.906 (74.991)
Epoch: [41][9930/14090]	Time 0.871 (0.767)	Data 0.001 (0.001)	Loss 2.2870 (2.2113)	Prec@1 41.406 (44.402)	Prec@5 75.781 (74.990)
Epoch: [41][9940/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 2.0677 (2.2112)	Prec@1 48.438 (44.404)	Prec@5 77.344 (74.992)
Epoch: [41][9950/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 2.3323 (2.2112)	Prec@1 41.406 (44.403)	Prec@5 75.000 (74.993)
Epoch: [41][9960/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 2.2559 (2.2111)	Prec@1 46.094 (44.405)	Prec@5 71.094 (74.993)
Epoch: [41][9970/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.3527 (2.2112)	Prec@1 39.844 (44.404)	Prec@5 76.562 (74.993)
Epoch: [41][9980/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.3070 (2.2113)	Prec@1 41.406 (44.401)	Prec@5 74.219 (74.990)
Epoch: [41][9990/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 2.2350 (2.2112)	Prec@1 39.844 (44.402)	Prec@5 74.219 (74.992)
Epoch: [41][10000/14090]	Time 0.874 (0.767)	Data 0.001 (0.001)	Loss 1.9757 (2.2111)	Prec@1 47.656 (44.404)	Prec@5 82.812 (74.993)
Epoch: [41][10010/14090]	Time 0.719 (0.767)	Data 0.001 (0.001)	Loss 1.8755 (2.2111)	Prec@1 47.656 (44.404)	Prec@5 81.250 (74.994)
Epoch: [41][10020/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 2.2889 (2.2111)	Prec@1 45.312 (44.403)	Prec@5 71.875 (74.993)
Epoch: [41][10030/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 2.0073 (2.2111)	Prec@1 48.438 (44.403)	Prec@5 75.781 (74.994)
Epoch: [41][10040/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.2143 (2.2111)	Prec@1 48.438 (44.405)	Prec@5 75.000 (74.994)
Epoch: [41][10050/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.0856 (2.2111)	Prec@1 45.312 (44.405)	Prec@5 78.125 (74.994)
Epoch: [41][10060/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.2514 (2.2111)	Prec@1 42.188 (44.405)	Prec@5 75.000 (74.995)
Epoch: [41][10070/14090]	Time 0.885 (0.766)	Data 0.001 (0.001)	Loss 1.7642 (2.2110)	Prec@1 52.344 (44.406)	Prec@5 86.719 (74.997)
Epoch: [41][10080/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 1.9308 (2.2110)	Prec@1 50.000 (44.407)	Prec@5 80.469 (74.997)
Epoch: [41][10090/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.3378 (2.2110)	Prec@1 41.406 (44.406)	Prec@5 75.781 (74.998)
Epoch: [41][10100/14090]	Time 0.721 (0.766)	Data 0.001 (0.001)	Loss 2.2941 (2.2110)	Prec@1 42.969 (44.404)	Prec@5 75.781 (74.999)
Epoch: [41][10110/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.3492 (2.2110)	Prec@1 41.406 (44.404)	Prec@5 73.438 (75.000)
Epoch: [41][10120/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.2705 (2.2110)	Prec@1 49.219 (44.405)	Prec@5 73.438 (75.000)
Epoch: [41][10130/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 2.1085 (2.2110)	Prec@1 49.219 (44.407)	Prec@5 78.906 (75.002)
Epoch: [41][10140/14090]	Time 0.871 (0.766)	Data 0.001 (0.001)	Loss 2.2811 (2.2109)	Prec@1 46.875 (44.406)	Prec@5 71.875 (75.002)
Epoch: [41][10150/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 2.3826 (2.2110)	Prec@1 39.844 (44.403)	Prec@5 70.312 (75.000)
Epoch: [41][10160/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.2801 (2.2110)	Prec@1 46.875 (44.405)	Prec@5 71.094 (75.000)
Epoch: [41][10170/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.2580 (2.2111)	Prec@1 46.875 (44.405)	Prec@5 75.000 (74.998)
Epoch: [41][10180/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.4688 (2.2111)	Prec@1 35.156 (44.404)	Prec@5 69.531 (74.996)
Epoch: [41][10190/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 1.8475 (2.2111)	Prec@1 51.562 (44.403)	Prec@5 82.031 (74.996)
Epoch: [41][10200/14090]	Time 0.765 (0.767)	Data 0.001 (0.001)	Loss 2.1185 (2.2112)	Prec@1 42.188 (44.400)	Prec@5 78.125 (74.996)
Epoch: [41][10210/14090]	Time 0.843 (0.767)	Data 0.001 (0.001)	Loss 2.0349 (2.2111)	Prec@1 45.312 (44.401)	Prec@5 82.812 (74.998)
Epoch: [41][10220/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 2.3975 (2.2112)	Prec@1 42.188 (44.401)	Prec@5 68.750 (74.996)
Epoch: [41][10230/14090]	Time 0.767 (0.766)	Data 0.001 (0.001)	Loss 2.2605 (2.2112)	Prec@1 41.406 (44.399)	Prec@5 72.656 (74.995)
Epoch: [41][10240/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.1483 (2.2112)	Prec@1 44.531 (44.400)	Prec@5 76.562 (74.995)
Epoch: [41][10250/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.2508 (2.2112)	Prec@1 47.656 (44.400)	Prec@5 72.656 (74.996)
Epoch: [41][10260/14090]	Time 0.767 (0.767)	Data 0.001 (0.001)	Loss 2.3234 (2.2112)	Prec@1 45.312 (44.399)	Prec@5 70.312 (74.995)
Epoch: [41][10270/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.0335 (2.2113)	Prec@1 44.531 (44.400)	Prec@5 74.219 (74.995)
Epoch: [41][10280/14090]	Time 0.857 (0.767)	Data 0.001 (0.001)	Loss 2.0586 (2.2113)	Prec@1 46.094 (44.401)	Prec@5 79.688 (74.995)
Epoch: [41][10290/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.4071 (2.2113)	Prec@1 39.062 (44.402)	Prec@5 70.312 (74.994)
Epoch: [41][10300/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.1616 (2.2113)	Prec@1 38.281 (44.401)	Prec@5 75.000 (74.994)
Epoch: [41][10310/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.2487 (2.2113)	Prec@1 42.969 (44.400)	Prec@5 75.000 (74.994)
Epoch: [41][10320/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.3172 (2.2113)	Prec@1 40.625 (44.400)	Prec@5 71.094 (74.993)
Epoch: [41][10330/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.3086 (2.2112)	Prec@1 45.312 (44.401)	Prec@5 71.094 (74.994)
Epoch: [41][10340/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.2397 (2.2112)	Prec@1 45.312 (44.401)	Prec@5 78.125 (74.994)
Epoch: [41][10350/14090]	Time 0.873 (0.766)	Data 0.001 (0.001)	Loss 2.2864 (2.2112)	Prec@1 39.844 (44.401)	Prec@5 72.656 (74.994)
Epoch: [41][10360/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.3956 (2.2112)	Prec@1 39.844 (44.402)	Prec@5 69.531 (74.996)
Epoch: [41][10370/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.3789 (2.2112)	Prec@1 44.531 (44.402)	Prec@5 69.531 (74.996)
Epoch: [41][10380/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.0753 (2.2111)	Prec@1 45.312 (44.402)	Prec@5 76.562 (74.997)
Epoch: [41][10390/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.1868 (2.2111)	Prec@1 44.531 (44.402)	Prec@5 78.125 (74.996)
Epoch: [41][10400/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.1859 (2.2111)	Prec@1 41.406 (44.401)	Prec@5 69.531 (74.996)
Epoch: [41][10410/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.1453 (2.2111)	Prec@1 50.781 (44.401)	Prec@5 75.000 (74.996)
Epoch: [41][10420/14090]	Time 1.020 (0.767)	Data 0.001 (0.001)	Loss 2.4411 (2.2111)	Prec@1 39.844 (44.402)	Prec@5 71.875 (74.997)
Epoch: [41][10430/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 1.9825 (2.2111)	Prec@1 53.125 (44.401)	Prec@5 79.688 (74.997)
Epoch: [41][10440/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 2.4136 (2.2111)	Prec@1 43.750 (44.401)	Prec@5 68.750 (74.998)
Epoch: [41][10450/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 1.8467 (2.2110)	Prec@1 49.219 (44.402)	Prec@5 85.156 (75.001)
Epoch: [41][10460/14090]	Time 0.773 (0.767)	Data 0.001 (0.001)	Loss 2.1749 (2.2110)	Prec@1 40.625 (44.400)	Prec@5 76.562 (75.000)
Epoch: [41][10470/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 1.9768 (2.2109)	Prec@1 46.875 (44.402)	Prec@5 78.906 (75.000)
Epoch: [41][10480/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 2.3343 (2.2110)	Prec@1 42.969 (44.400)	Prec@5 75.000 (75.002)
Epoch: [41][10490/14090]	Time 0.864 (0.767)	Data 0.001 (0.001)	Loss 2.1693 (2.2111)	Prec@1 45.312 (44.397)	Prec@5 75.781 (75.000)
Epoch: [41][10500/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 1.9883 (2.2110)	Prec@1 48.438 (44.398)	Prec@5 74.219 (75.001)
Epoch: [41][10510/14090]	Time 0.724 (0.767)	Data 0.001 (0.001)	Loss 2.0692 (2.2109)	Prec@1 43.750 (44.398)	Prec@5 79.688 (75.003)
Epoch: [41][10520/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 2.2484 (2.2109)	Prec@1 41.406 (44.398)	Prec@5 78.125 (75.004)
Epoch: [41][10530/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.2004 (2.2110)	Prec@1 50.781 (44.397)	Prec@5 75.781 (75.003)
Epoch: [41][10540/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.3486 (2.2109)	Prec@1 39.844 (44.398)	Prec@5 76.562 (75.005)
Epoch: [41][10550/14090]	Time 0.775 (0.766)	Data 0.001 (0.001)	Loss 2.4583 (2.2110)	Prec@1 40.625 (44.395)	Prec@5 68.750 (75.003)
Epoch: [41][10560/14090]	Time 0.856 (0.766)	Data 0.001 (0.001)	Loss 2.0115 (2.2110)	Prec@1 44.531 (44.394)	Prec@5 75.000 (75.003)
Epoch: [41][10570/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.4874 (2.2110)	Prec@1 43.750 (44.395)	Prec@5 68.750 (75.001)
Epoch: [41][10580/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.2830 (2.2111)	Prec@1 45.312 (44.395)	Prec@5 71.094 (75.001)
Epoch: [41][10590/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.2808 (2.2111)	Prec@1 43.750 (44.394)	Prec@5 70.312 (75.001)
Epoch: [41][10600/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.1944 (2.2112)	Prec@1 48.438 (44.393)	Prec@5 74.219 (74.999)
Epoch: [41][10610/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.5353 (2.2112)	Prec@1 40.625 (44.392)	Prec@5 75.000 (74.998)
Epoch: [41][10620/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.3076 (2.2112)	Prec@1 39.844 (44.391)	Prec@5 78.906 (74.999)
Epoch: [41][10630/14090]	Time 0.869 (0.766)	Data 0.001 (0.001)	Loss 1.9057 (2.2113)	Prec@1 51.562 (44.389)	Prec@5 80.469 (74.997)
Epoch: [41][10640/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.3177 (2.2113)	Prec@1 40.625 (44.389)	Prec@5 77.344 (74.998)
Epoch: [41][10650/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.2459 (2.2113)	Prec@1 42.969 (44.389)	Prec@5 75.781 (74.998)
Epoch: [41][10660/14090]	Time 0.773 (0.766)	Data 0.001 (0.001)	Loss 2.4270 (2.2113)	Prec@1 34.375 (44.387)	Prec@5 75.000 (74.998)
Epoch: [41][10670/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.1286 (2.2113)	Prec@1 48.438 (44.388)	Prec@5 76.562 (74.996)
Epoch: [41][10680/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 2.1809 (2.2113)	Prec@1 45.312 (44.388)	Prec@5 73.438 (74.996)
Epoch: [41][10690/14090]	Time 0.780 (0.766)	Data 0.001 (0.001)	Loss 2.2691 (2.2113)	Prec@1 44.531 (44.389)	Prec@5 75.000 (74.996)
Epoch: [41][10700/14090]	Time 0.879 (0.766)	Data 0.001 (0.001)	Loss 2.2302 (2.2112)	Prec@1 41.406 (44.391)	Prec@5 71.875 (74.997)
Epoch: [41][10710/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.1980 (2.2112)	Prec@1 46.875 (44.392)	Prec@5 77.344 (74.997)
Epoch: [41][10720/14090]	Time 0.774 (0.766)	Data 0.001 (0.001)	Loss 2.2669 (2.2112)	Prec@1 45.312 (44.391)	Prec@5 74.219 (74.996)
Epoch: [41][10730/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.1103 (2.2111)	Prec@1 42.188 (44.391)	Prec@5 77.344 (74.998)
Epoch: [41][10740/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 1.8343 (2.2112)	Prec@1 49.219 (44.392)	Prec@5 78.906 (74.998)
Epoch: [41][10750/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.1161 (2.2112)	Prec@1 50.000 (44.391)	Prec@5 75.781 (74.998)
Epoch: [41][10760/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 1.8954 (2.2112)	Prec@1 55.469 (44.390)	Prec@5 75.000 (74.997)
Epoch: [41][10770/14090]	Time 0.892 (0.766)	Data 0.001 (0.001)	Loss 2.3337 (2.2112)	Prec@1 35.938 (44.388)	Prec@5 74.219 (74.997)
Epoch: [41][10780/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 1.8782 (2.2113)	Prec@1 50.000 (44.389)	Prec@5 81.250 (74.996)
Epoch: [41][10790/14090]	Time 0.760 (0.766)	Data 0.003 (0.001)	Loss 1.9741 (2.2113)	Prec@1 52.344 (44.389)	Prec@5 78.906 (74.996)
Epoch: [41][10800/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.6204 (2.2113)	Prec@1 35.156 (44.388)	Prec@5 67.188 (74.996)
Epoch: [41][10810/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.6380 (2.2113)	Prec@1 38.281 (44.389)	Prec@5 66.406 (74.996)
Epoch: [41][10820/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.4220 (2.2114)	Prec@1 39.844 (44.387)	Prec@5 72.656 (74.995)
Epoch: [41][10830/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.2247 (2.2114)	Prec@1 42.188 (44.387)	Prec@5 72.656 (74.994)
Epoch: [41][10840/14090]	Time 0.839 (0.766)	Data 0.001 (0.001)	Loss 2.0495 (2.2114)	Prec@1 48.438 (44.388)	Prec@5 78.906 (74.993)
Epoch: [41][10850/14090]	Time 0.783 (0.766)	Data 0.001 (0.001)	Loss 2.3806 (2.2114)	Prec@1 40.625 (44.387)	Prec@5 71.094 (74.992)
Epoch: [41][10860/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.2625 (2.2115)	Prec@1 40.625 (44.386)	Prec@5 76.562 (74.992)
Epoch: [41][10870/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.3200 (2.2115)	Prec@1 44.531 (44.385)	Prec@5 71.875 (74.991)
Epoch: [41][10880/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.4662 (2.2115)	Prec@1 37.500 (44.384)	Prec@5 73.438 (74.990)
Epoch: [41][10890/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 2.1458 (2.2115)	Prec@1 43.750 (44.383)	Prec@5 78.906 (74.992)
Epoch: [41][10900/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.0206 (2.2116)	Prec@1 46.875 (44.380)	Prec@5 79.688 (74.991)
Epoch: [41][10910/14090]	Time 0.876 (0.766)	Data 0.001 (0.001)	Loss 2.4070 (2.2115)	Prec@1 38.281 (44.381)	Prec@5 71.875 (74.992)
Epoch: [41][10920/14090]	Time 0.769 (0.766)	Data 0.001 (0.001)	Loss 2.0087 (2.2115)	Prec@1 51.562 (44.383)	Prec@5 78.125 (74.993)
Epoch: [41][10930/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.2960 (2.2115)	Prec@1 41.406 (44.383)	Prec@5 73.438 (74.994)
Epoch: [41][10940/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.1734 (2.2115)	Prec@1 46.875 (44.383)	Prec@5 75.000 (74.992)
Epoch: [41][10950/14090]	Time 0.724 (0.766)	Data 0.001 (0.001)	Loss 1.9752 (2.2115)	Prec@1 53.125 (44.384)	Prec@5 78.125 (74.994)
Epoch: [41][10960/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 2.0361 (2.2114)	Prec@1 49.219 (44.387)	Prec@5 82.031 (74.995)
Epoch: [41][10970/14090]	Time 0.767 (0.766)	Data 0.001 (0.001)	Loss 2.0730 (2.2114)	Prec@1 47.656 (44.387)	Prec@5 76.562 (74.996)
Epoch: [41][10980/14090]	Time 0.866 (0.766)	Data 0.001 (0.001)	Loss 2.1570 (2.2114)	Prec@1 43.750 (44.387)	Prec@5 75.000 (74.996)
Epoch: [41][10990/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.2389 (2.2114)	Prec@1 46.875 (44.387)	Prec@5 74.219 (74.996)
Epoch: [41][11000/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.2712 (2.2115)	Prec@1 41.406 (44.388)	Prec@5 76.562 (74.994)
Epoch: [41][11010/14090]	Time 0.784 (0.766)	Data 0.001 (0.001)	Loss 2.2021 (2.2115)	Prec@1 44.531 (44.388)	Prec@5 75.781 (74.993)
Epoch: [41][11020/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.1948 (2.2115)	Prec@1 42.969 (44.387)	Prec@5 75.000 (74.991)
Epoch: [41][11030/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 1.8964 (2.2115)	Prec@1 47.656 (44.386)	Prec@5 82.031 (74.992)
Epoch: [41][11040/14090]	Time 0.720 (0.766)	Data 0.001 (0.001)	Loss 2.4973 (2.2116)	Prec@1 40.625 (44.383)	Prec@5 66.406 (74.989)
Epoch: [41][11050/14090]	Time 0.869 (0.766)	Data 0.001 (0.001)	Loss 2.2293 (2.2116)	Prec@1 41.406 (44.383)	Prec@5 75.781 (74.989)
Epoch: [41][11060/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.3656 (2.2116)	Prec@1 45.312 (44.384)	Prec@5 76.562 (74.990)
Epoch: [41][11070/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.3341 (2.2116)	Prec@1 42.969 (44.386)	Prec@5 74.219 (74.990)
Epoch: [41][11080/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.1932 (2.2116)	Prec@1 44.531 (44.384)	Prec@5 80.469 (74.988)
Epoch: [41][11090/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.3911 (2.2117)	Prec@1 40.625 (44.383)	Prec@5 76.562 (74.988)
Epoch: [41][11100/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.2619 (2.2117)	Prec@1 46.094 (44.382)	Prec@5 72.656 (74.987)
Epoch: [41][11110/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 2.0485 (2.2116)	Prec@1 45.312 (44.384)	Prec@5 77.344 (74.987)
Epoch: [41][11120/14090]	Time 0.843 (0.766)	Data 0.001 (0.001)	Loss 2.1806 (2.2117)	Prec@1 44.531 (44.383)	Prec@5 72.656 (74.987)
Epoch: [41][11130/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 1.9690 (2.2118)	Prec@1 48.438 (44.381)	Prec@5 76.562 (74.987)
Epoch: [41][11140/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.2279 (2.2117)	Prec@1 44.531 (44.381)	Prec@5 76.562 (74.988)
Epoch: [41][11150/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 1.9011 (2.2116)	Prec@1 49.219 (44.383)	Prec@5 84.375 (74.990)
Epoch: [41][11160/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.0000 (2.2116)	Prec@1 50.000 (44.384)	Prec@5 79.688 (74.992)
Epoch: [41][11170/14090]	Time 0.722 (0.766)	Data 0.001 (0.001)	Loss 1.8591 (2.2116)	Prec@1 52.344 (44.383)	Prec@5 82.812 (74.993)
Epoch: [41][11180/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.2008 (2.2117)	Prec@1 39.062 (44.380)	Prec@5 71.875 (74.991)
Epoch: [41][11190/14090]	Time 0.867 (0.766)	Data 0.001 (0.001)	Loss 2.4163 (2.2118)	Prec@1 46.094 (44.379)	Prec@5 73.438 (74.990)
Epoch: [41][11200/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.2626 (2.2118)	Prec@1 47.656 (44.377)	Prec@5 71.094 (74.988)
Epoch: [41][11210/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 1.9668 (2.2118)	Prec@1 50.781 (44.378)	Prec@5 78.906 (74.990)
Epoch: [41][11220/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.1883 (2.2118)	Prec@1 44.531 (44.379)	Prec@5 72.656 (74.990)
Epoch: [41][11230/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.2575 (2.2118)	Prec@1 50.781 (44.379)	Prec@5 75.000 (74.990)
Epoch: [41][11240/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.4284 (2.2118)	Prec@1 42.969 (44.379)	Prec@5 71.875 (74.990)
Epoch: [41][11250/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.4393 (2.2118)	Prec@1 42.188 (44.381)	Prec@5 70.312 (74.990)
Epoch: [41][11260/14090]	Time 0.883 (0.766)	Data 0.001 (0.001)	Loss 2.0886 (2.2119)	Prec@1 50.781 (44.381)	Prec@5 70.312 (74.989)
Epoch: [41][11270/14090]	Time 0.723 (0.766)	Data 0.001 (0.001)	Loss 2.1536 (2.2119)	Prec@1 45.312 (44.381)	Prec@5 77.344 (74.988)
Epoch: [41][11280/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.1655 (2.2118)	Prec@1 46.875 (44.382)	Prec@5 74.219 (74.990)
Epoch: [41][11290/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.3327 (2.2119)	Prec@1 42.188 (44.381)	Prec@5 72.656 (74.988)
Epoch: [41][11300/14090]	Time 0.721 (0.766)	Data 0.001 (0.001)	Loss 2.1065 (2.2119)	Prec@1 36.719 (44.379)	Prec@5 81.250 (74.988)
Epoch: [41][11310/14090]	Time 0.793 (0.766)	Data 0.001 (0.001)	Loss 2.6854 (2.2120)	Prec@1 27.344 (44.378)	Prec@5 68.750 (74.988)
Epoch: [41][11320/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.2468 (2.2120)	Prec@1 43.750 (44.377)	Prec@5 74.219 (74.988)
Epoch: [41][11330/14090]	Time 0.871 (0.766)	Data 0.001 (0.001)	Loss 2.0828 (2.2120)	Prec@1 46.094 (44.379)	Prec@5 79.688 (74.988)
Epoch: [41][11340/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.1848 (2.2120)	Prec@1 42.969 (44.381)	Prec@5 72.656 (74.988)
Epoch: [41][11350/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.0271 (2.2120)	Prec@1 49.219 (44.383)	Prec@5 78.906 (74.988)
Epoch: [41][11360/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.2468 (2.2120)	Prec@1 46.875 (44.383)	Prec@5 78.125 (74.988)
Epoch: [41][11370/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.1476 (2.2119)	Prec@1 45.312 (44.384)	Prec@5 77.344 (74.989)
Epoch: [41][11380/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 1.9822 (2.2120)	Prec@1 46.094 (44.384)	Prec@5 77.344 (74.988)
Epoch: [41][11390/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.2109 (2.2120)	Prec@1 39.062 (44.382)	Prec@5 75.000 (74.987)
Epoch: [41][11400/14090]	Time 0.867 (0.766)	Data 0.001 (0.001)	Loss 1.9476 (2.2120)	Prec@1 47.656 (44.385)	Prec@5 81.250 (74.989)
Epoch: [41][11410/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.1552 (2.2120)	Prec@1 45.312 (44.385)	Prec@5 73.438 (74.987)
Epoch: [41][11420/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 1.9828 (2.2120)	Prec@1 46.875 (44.385)	Prec@5 78.125 (74.987)
Epoch: [41][11430/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.1017 (2.2120)	Prec@1 39.844 (44.385)	Prec@5 78.906 (74.988)
Epoch: [41][11440/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 2.2021 (2.2120)	Prec@1 44.531 (44.385)	Prec@5 73.438 (74.986)
Epoch: [41][11450/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.4597 (2.2120)	Prec@1 36.719 (44.385)	Prec@5 72.656 (74.986)
Epoch: [41][11460/14090]	Time 0.767 (0.766)	Data 0.001 (0.001)	Loss 2.1093 (2.2120)	Prec@1 45.312 (44.386)	Prec@5 75.000 (74.987)
Epoch: [41][11470/14090]	Time 0.851 (0.766)	Data 0.001 (0.001)	Loss 2.2169 (2.2120)	Prec@1 42.188 (44.384)	Prec@5 71.094 (74.985)
Epoch: [41][11480/14090]	Time 0.719 (0.766)	Data 0.001 (0.001)	Loss 2.2455 (2.2120)	Prec@1 49.219 (44.386)	Prec@5 75.781 (74.986)
Epoch: [41][11490/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.2843 (2.2120)	Prec@1 42.188 (44.385)	Prec@5 72.656 (74.986)
Epoch: [41][11500/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.2936 (2.2120)	Prec@1 39.062 (44.385)	Prec@5 77.344 (74.985)
Epoch: [41][11510/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.5269 (2.2120)	Prec@1 42.969 (44.384)	Prec@5 70.312 (74.984)
Epoch: [41][11520/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 2.2443 (2.2121)	Prec@1 38.281 (44.382)	Prec@5 76.562 (74.982)
Epoch: [41][11530/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.5900 (2.2122)	Prec@1 33.594 (44.381)	Prec@5 69.531 (74.982)
Epoch: [41][11540/14090]	Time 0.874 (0.766)	Data 0.001 (0.001)	Loss 2.0154 (2.2122)	Prec@1 47.656 (44.381)	Prec@5 80.469 (74.980)
Epoch: [41][11550/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.1195 (2.2122)	Prec@1 46.875 (44.382)	Prec@5 78.125 (74.981)
Epoch: [41][11560/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.2840 (2.2122)	Prec@1 42.188 (44.382)	Prec@5 72.656 (74.980)
Epoch: [41][11570/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.5655 (2.2123)	Prec@1 37.500 (44.380)	Prec@5 69.531 (74.978)
Epoch: [41][11580/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 2.3879 (2.2124)	Prec@1 44.531 (44.379)	Prec@5 74.219 (74.979)
Epoch: [41][11590/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 2.1181 (2.2123)	Prec@1 44.531 (44.380)	Prec@5 77.344 (74.981)
Epoch: [41][11600/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 2.2639 (2.2123)	Prec@1 42.188 (44.381)	Prec@5 75.781 (74.982)
Epoch: [41][11610/14090]	Time 0.867 (0.766)	Data 0.001 (0.001)	Loss 2.0573 (2.2123)	Prec@1 42.969 (44.381)	Prec@5 78.125 (74.983)
Epoch: [41][11620/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.3236 (2.2122)	Prec@1 42.969 (44.382)	Prec@5 74.219 (74.984)
Epoch: [41][11630/14090]	Time 0.779 (0.766)	Data 0.001 (0.001)	Loss 1.8956 (2.2122)	Prec@1 51.562 (44.383)	Prec@5 77.344 (74.984)
Epoch: [41][11640/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.2649 (2.2122)	Prec@1 42.188 (44.382)	Prec@5 73.438 (74.983)
Epoch: [41][11650/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.1618 (2.2123)	Prec@1 47.656 (44.381)	Prec@5 74.219 (74.982)
Epoch: [41][11660/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.5658 (2.2123)	Prec@1 35.938 (44.381)	Prec@5 68.750 (74.984)
Epoch: [41][11670/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.3957 (2.2123)	Prec@1 39.844 (44.381)	Prec@5 72.656 (74.984)
Epoch: [41][11680/14090]	Time 0.868 (0.766)	Data 0.001 (0.001)	Loss 2.1067 (2.2123)	Prec@1 48.438 (44.380)	Prec@5 75.000 (74.981)
Epoch: [41][11690/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.3391 (2.2123)	Prec@1 39.062 (44.379)	Prec@5 69.531 (74.980)
Epoch: [41][11700/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.5293 (2.2124)	Prec@1 35.938 (44.378)	Prec@5 67.188 (74.979)
Epoch: [41][11710/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.3157 (2.2123)	Prec@1 44.531 (44.378)	Prec@5 71.875 (74.980)
Epoch: [41][11720/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.1718 (2.2123)	Prec@1 45.312 (44.378)	Prec@5 73.438 (74.979)
Epoch: [41][11730/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 2.3838 (2.2124)	Prec@1 41.406 (44.376)	Prec@5 71.875 (74.979)
Epoch: [41][11740/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.4091 (2.2124)	Prec@1 35.156 (44.375)	Prec@5 72.656 (74.978)
Epoch: [41][11750/14090]	Time 0.876 (0.766)	Data 0.001 (0.001)	Loss 2.2963 (2.2125)	Prec@1 42.969 (44.374)	Prec@5 73.438 (74.978)
Epoch: [41][11760/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.3539 (2.2125)	Prec@1 42.969 (44.374)	Prec@5 67.188 (74.978)
Epoch: [41][11770/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.3869 (2.2125)	Prec@1 39.844 (44.373)	Prec@5 71.094 (74.977)
Epoch: [41][11780/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.3303 (2.2125)	Prec@1 48.438 (44.375)	Prec@5 74.219 (74.977)
Epoch: [41][11790/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.4231 (2.2126)	Prec@1 35.938 (44.374)	Prec@5 70.312 (74.975)
Epoch: [41][11800/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 2.1549 (2.2126)	Prec@1 45.312 (44.376)	Prec@5 76.562 (74.974)
Epoch: [41][11810/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.2373 (2.2125)	Prec@1 44.531 (44.376)	Prec@5 71.875 (74.976)
Epoch: [41][11820/14090]	Time 0.872 (0.766)	Data 0.001 (0.001)	Loss 2.4414 (2.2126)	Prec@1 39.844 (44.376)	Prec@5 73.438 (74.976)
Epoch: [41][11830/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.3476 (2.2126)	Prec@1 40.625 (44.375)	Prec@5 75.781 (74.975)
Epoch: [41][11840/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.3414 (2.2126)	Prec@1 41.406 (44.375)	Prec@5 69.531 (74.975)
Epoch: [41][11850/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.2825 (2.2127)	Prec@1 48.438 (44.374)	Prec@5 75.000 (74.975)
Epoch: [41][11860/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 1.9527 (2.2127)	Prec@1 48.438 (44.375)	Prec@5 84.375 (74.975)
Epoch: [41][11870/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.2191 (2.2126)	Prec@1 48.438 (44.377)	Prec@5 75.781 (74.977)
Epoch: [41][11880/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.2863 (2.2126)	Prec@1 40.625 (44.376)	Prec@5 78.125 (74.976)
Epoch: [41][11890/14090]	Time 0.852 (0.766)	Data 0.001 (0.001)	Loss 2.2053 (2.2126)	Prec@1 40.625 (44.377)	Prec@5 78.906 (74.976)
Epoch: [41][11900/14090]	Time 0.770 (0.766)	Data 0.001 (0.001)	Loss 2.2398 (2.2126)	Prec@1 46.094 (44.376)	Prec@5 75.000 (74.976)
Epoch: [41][11910/14090]	Time 0.779 (0.766)	Data 0.001 (0.001)	Loss 2.0092 (2.2125)	Prec@1 48.438 (44.377)	Prec@5 82.031 (74.977)
Epoch: [41][11920/14090]	Time 0.773 (0.766)	Data 0.001 (0.001)	Loss 2.2620 (2.2125)	Prec@1 46.875 (44.377)	Prec@5 70.312 (74.976)
Epoch: [41][11930/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.1713 (2.2125)	Prec@1 44.531 (44.378)	Prec@5 75.781 (74.977)
Epoch: [41][11940/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.2720 (2.2125)	Prec@1 41.406 (44.376)	Prec@5 77.344 (74.976)
Epoch: [41][11950/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 2.2220 (2.2125)	Prec@1 45.312 (44.377)	Prec@5 74.219 (74.977)
Epoch: [41][11960/14090]	Time 0.868 (0.766)	Data 0.001 (0.001)	Loss 2.4484 (2.2125)	Prec@1 37.500 (44.377)	Prec@5 71.875 (74.977)
Epoch: [41][11970/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 2.4595 (2.2124)	Prec@1 46.094 (44.379)	Prec@5 69.531 (74.979)
Epoch: [41][11980/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 2.3608 (2.2124)	Prec@1 42.969 (44.379)	Prec@5 73.438 (74.979)
Epoch: [41][11990/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.3885 (2.2124)	Prec@1 32.812 (44.378)	Prec@5 71.875 (74.980)
Epoch: [41][12000/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.3479 (2.2124)	Prec@1 42.969 (44.378)	Prec@5 71.875 (74.980)
Epoch: [41][12010/14090]	Time 0.777 (0.766)	Data 0.001 (0.001)	Loss 2.0255 (2.2123)	Prec@1 49.219 (44.377)	Prec@5 80.469 (74.982)
Epoch: [41][12020/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.1925 (2.2124)	Prec@1 43.750 (44.376)	Prec@5 78.906 (74.982)
Epoch: [41][12030/14090]	Time 0.860 (0.766)	Data 0.001 (0.001)	Loss 2.1510 (2.2124)	Prec@1 50.000 (44.375)	Prec@5 75.781 (74.981)
Epoch: [41][12040/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.4596 (2.2124)	Prec@1 39.062 (44.374)	Prec@5 69.531 (74.981)
Epoch: [41][12050/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 2.3171 (2.2124)	Prec@1 40.625 (44.374)	Prec@5 72.656 (74.982)
Epoch: [41][12060/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 2.2747 (2.2124)	Prec@1 47.656 (44.376)	Prec@5 72.656 (74.982)
Epoch: [41][12070/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.2944 (2.2124)	Prec@1 42.188 (44.374)	Prec@5 73.438 (74.982)
Epoch: [41][12080/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.4321 (2.2125)	Prec@1 36.719 (44.372)	Prec@5 68.750 (74.980)
Epoch: [41][12090/14090]	Time 0.774 (0.766)	Data 0.001 (0.001)	Loss 2.0625 (2.2124)	Prec@1 50.000 (44.374)	Prec@5 82.031 (74.981)
Epoch: [41][12100/14090]	Time 0.894 (0.766)	Data 0.001 (0.001)	Loss 2.1672 (2.2125)	Prec@1 39.844 (44.373)	Prec@5 78.906 (74.980)
Epoch: [41][12110/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.4214 (2.2125)	Prec@1 41.406 (44.370)	Prec@5 70.312 (74.980)
Epoch: [41][12120/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.2450 (2.2125)	Prec@1 44.531 (44.370)	Prec@5 73.438 (74.979)
Epoch: [41][12130/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.0767 (2.2125)	Prec@1 46.875 (44.369)	Prec@5 78.125 (74.978)
Epoch: [41][12140/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 1.9723 (2.2125)	Prec@1 47.656 (44.369)	Prec@5 81.250 (74.979)
Epoch: [41][12150/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.3356 (2.2125)	Prec@1 41.406 (44.368)	Prec@5 75.781 (74.979)
Epoch: [41][12160/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 1.9726 (2.2125)	Prec@1 50.000 (44.369)	Prec@5 76.562 (74.977)
Epoch: [41][12170/14090]	Time 0.852 (0.766)	Data 0.001 (0.001)	Loss 2.1298 (2.2124)	Prec@1 50.781 (44.370)	Prec@5 75.781 (74.979)
Epoch: [41][12180/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.2097 (2.2124)	Prec@1 45.312 (44.370)	Prec@5 78.125 (74.978)
Epoch: [41][12190/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 1.9841 (2.2125)	Prec@1 49.219 (44.371)	Prec@5 80.469 (74.979)
Epoch: [41][12200/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.1612 (2.2125)	Prec@1 42.969 (44.369)	Prec@5 75.000 (74.979)
Epoch: [41][12210/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.0832 (2.2124)	Prec@1 46.875 (44.370)	Prec@5 78.125 (74.979)
Epoch: [41][12220/14090]	Time 0.723 (0.766)	Data 0.001 (0.001)	Loss 2.2175 (2.2126)	Prec@1 45.312 (44.369)	Prec@5 74.219 (74.977)
Epoch: [41][12230/14090]	Time 0.757 (0.766)	Data 0.003 (0.001)	Loss 2.1539 (2.2125)	Prec@1 43.750 (44.371)	Prec@5 82.812 (74.980)
Epoch: [41][12240/14090]	Time 0.822 (0.766)	Data 0.001 (0.001)	Loss 1.9202 (2.2126)	Prec@1 43.750 (44.369)	Prec@5 82.031 (74.978)
Epoch: [41][12250/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.0166 (2.2126)	Prec@1 40.625 (44.369)	Prec@5 78.906 (74.978)
Epoch: [41][12260/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.1670 (2.2125)	Prec@1 44.531 (44.370)	Prec@5 76.562 (74.979)
Epoch: [41][12270/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.1621 (2.2125)	Prec@1 42.188 (44.369)	Prec@5 74.219 (74.980)
Epoch: [41][12280/14090]	Time 0.723 (0.766)	Data 0.001 (0.001)	Loss 2.2744 (2.2125)	Prec@1 45.312 (44.369)	Prec@5 76.562 (74.980)
Epoch: [41][12290/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 2.3084 (2.2126)	Prec@1 39.844 (44.368)	Prec@5 73.438 (74.979)
Epoch: [41][12300/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.3524 (2.2125)	Prec@1 39.062 (44.368)	Prec@5 76.562 (74.981)
Epoch: [41][12310/14090]	Time 0.859 (0.766)	Data 0.001 (0.001)	Loss 2.1279 (2.2124)	Prec@1 46.094 (44.371)	Prec@5 75.781 (74.981)
Epoch: [41][12320/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.0798 (2.2124)	Prec@1 44.531 (44.371)	Prec@5 75.000 (74.981)
Epoch: [41][12330/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.1950 (2.2124)	Prec@1 41.406 (44.370)	Prec@5 75.781 (74.980)
Epoch: [41][12340/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.0639 (2.2124)	Prec@1 44.531 (44.371)	Prec@5 78.906 (74.981)
Epoch: [41][12350/14090]	Time 0.773 (0.766)	Data 0.001 (0.001)	Loss 2.3041 (2.2124)	Prec@1 35.938 (44.372)	Prec@5 75.781 (74.981)
Epoch: [41][12360/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.3053 (2.2124)	Prec@1 47.656 (44.372)	Prec@5 69.531 (74.980)
Epoch: [41][12370/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 2.5069 (2.2124)	Prec@1 37.500 (44.372)	Prec@5 69.531 (74.981)
Epoch: [41][12380/14090]	Time 0.919 (0.766)	Data 0.001 (0.001)	Loss 2.1454 (2.2124)	Prec@1 40.625 (44.371)	Prec@5 72.656 (74.980)
Epoch: [41][12390/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 2.0368 (2.2124)	Prec@1 47.656 (44.371)	Prec@5 74.219 (74.980)
Epoch: [41][12400/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.3336 (2.2124)	Prec@1 42.969 (44.371)	Prec@5 76.562 (74.980)
Epoch: [41][12410/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.4457 (2.2124)	Prec@1 43.750 (44.372)	Prec@5 67.969 (74.979)
Epoch: [41][12420/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.4379 (2.2124)	Prec@1 43.750 (44.373)	Prec@5 70.312 (74.979)
Epoch: [41][12430/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.1795 (2.2125)	Prec@1 51.562 (44.372)	Prec@5 74.219 (74.978)
Epoch: [41][12440/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.2338 (2.2125)	Prec@1 41.406 (44.370)	Prec@5 76.562 (74.977)
Epoch: [41][12450/14090]	Time 0.851 (0.766)	Data 0.001 (0.001)	Loss 2.1231 (2.2125)	Prec@1 43.750 (44.372)	Prec@5 78.125 (74.977)
Epoch: [41][12460/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.3713 (2.2126)	Prec@1 41.406 (44.372)	Prec@5 78.906 (74.977)
Epoch: [41][12470/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 1.9363 (2.2126)	Prec@1 53.906 (44.373)	Prec@5 81.250 (74.977)
Epoch: [41][12480/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.0414 (2.2126)	Prec@1 47.656 (44.372)	Prec@5 78.906 (74.976)
Epoch: [41][12490/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.2980 (2.2126)	Prec@1 40.625 (44.371)	Prec@5 76.562 (74.976)
Epoch: [41][12500/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 2.1145 (2.2125)	Prec@1 45.312 (44.374)	Prec@5 79.688 (74.979)
Epoch: [41][12510/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.3822 (2.2126)	Prec@1 39.062 (44.374)	Prec@5 74.219 (74.979)
Epoch: [41][12520/14090]	Time 0.883 (0.766)	Data 0.001 (0.001)	Loss 2.1306 (2.2126)	Prec@1 45.312 (44.374)	Prec@5 75.781 (74.978)
Epoch: [41][12530/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.3191 (2.2126)	Prec@1 47.656 (44.372)	Prec@5 73.438 (74.976)
Epoch: [41][12540/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.1004 (2.2126)	Prec@1 45.312 (44.374)	Prec@5 80.469 (74.976)
Epoch: [41][12550/14090]	Time 0.785 (0.766)	Data 0.001 (0.001)	Loss 2.2878 (2.2125)	Prec@1 42.969 (44.375)	Prec@5 76.562 (74.977)
Epoch: [41][12560/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 1.8790 (2.2125)	Prec@1 57.812 (44.377)	Prec@5 80.469 (74.977)
Epoch: [41][12570/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 1.9492 (2.2125)	Prec@1 46.094 (44.377)	Prec@5 80.469 (74.978)
Epoch: [41][12580/14090]	Time 0.721 (0.766)	Data 0.001 (0.001)	Loss 2.5047 (2.2126)	Prec@1 42.969 (44.376)	Prec@5 70.312 (74.978)
Epoch: [41][12590/14090]	Time 0.863 (0.766)	Data 0.001 (0.001)	Loss 2.3613 (2.2125)	Prec@1 42.969 (44.377)	Prec@5 70.312 (74.980)
Epoch: [41][12600/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.2196 (2.2125)	Prec@1 50.781 (44.377)	Prec@5 71.875 (74.977)
Epoch: [41][12610/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.3474 (2.2126)	Prec@1 38.281 (44.376)	Prec@5 71.875 (74.977)
Epoch: [41][12620/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 2.5547 (2.2125)	Prec@1 42.188 (44.376)	Prec@5 71.875 (74.977)
Epoch: [41][12630/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.3108 (2.2126)	Prec@1 42.969 (44.374)	Prec@5 72.656 (74.976)
Epoch: [41][12640/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.3541 (2.2126)	Prec@1 38.281 (44.374)	Prec@5 71.094 (74.975)
Epoch: [41][12650/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.2193 (2.2127)	Prec@1 42.969 (44.371)	Prec@5 77.344 (74.973)
Epoch: [41][12660/14090]	Time 0.918 (0.766)	Data 0.001 (0.001)	Loss 2.4041 (2.2127)	Prec@1 45.312 (44.371)	Prec@5 67.188 (74.972)
Epoch: [41][12670/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.1129 (2.2128)	Prec@1 50.000 (44.371)	Prec@5 75.781 (74.971)
Epoch: [41][12680/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.2253 (2.2128)	Prec@1 46.875 (44.370)	Prec@5 79.688 (74.971)
Epoch: [41][12690/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.1955 (2.2129)	Prec@1 46.875 (44.369)	Prec@5 69.531 (74.971)
Epoch: [41][12700/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.0594 (2.2128)	Prec@1 46.094 (44.370)	Prec@5 78.906 (74.971)
Epoch: [41][12710/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.3538 (2.2128)	Prec@1 43.750 (44.369)	Prec@5 72.656 (74.972)
Epoch: [41][12720/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 2.2450 (2.2128)	Prec@1 40.625 (44.368)	Prec@5 73.438 (74.973)
Epoch: [41][12730/14090]	Time 0.837 (0.766)	Data 0.001 (0.001)	Loss 2.0508 (2.2128)	Prec@1 43.750 (44.368)	Prec@5 80.469 (74.972)
Epoch: [41][12740/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.3324 (2.2129)	Prec@1 42.969 (44.367)	Prec@5 71.875 (74.972)
Epoch: [41][12750/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.3824 (2.2130)	Prec@1 40.625 (44.366)	Prec@5 71.875 (74.970)
Epoch: [41][12760/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.1974 (2.2130)	Prec@1 47.656 (44.367)	Prec@5 77.344 (74.970)
Epoch: [41][12770/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.2340 (2.2129)	Prec@1 42.969 (44.368)	Prec@5 78.125 (74.971)
Epoch: [41][12780/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.0733 (2.2129)	Prec@1 48.438 (44.368)	Prec@5 77.344 (74.970)
Epoch: [41][12790/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 1.8253 (2.2129)	Prec@1 51.562 (44.369)	Prec@5 81.250 (74.970)
Epoch: [41][12800/14090]	Time 0.873 (0.766)	Data 0.001 (0.001)	Loss 1.9206 (2.2129)	Prec@1 47.656 (44.369)	Prec@5 80.469 (74.970)
Epoch: [41][12810/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.2540 (2.2129)	Prec@1 41.406 (44.368)	Prec@5 76.562 (74.970)
Epoch: [41][12820/14090]	Time 0.723 (0.766)	Data 0.001 (0.001)	Loss 2.2905 (2.2130)	Prec@1 40.625 (44.366)	Prec@5 75.781 (74.969)
Epoch: [41][12830/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 1.9203 (2.2130)	Prec@1 48.438 (44.366)	Prec@5 77.344 (74.968)
Epoch: [41][12840/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.1939 (2.2130)	Prec@1 47.656 (44.366)	Prec@5 74.219 (74.969)
Epoch: [41][12850/14090]	Time 0.721 (0.766)	Data 0.001 (0.001)	Loss 2.1457 (2.2130)	Prec@1 42.188 (44.367)	Prec@5 80.469 (74.969)
Epoch: [41][12860/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.2310 (2.2130)	Prec@1 42.969 (44.365)	Prec@5 75.781 (74.968)
Epoch: [41][12870/14090]	Time 0.871 (0.766)	Data 0.001 (0.001)	Loss 2.2895 (2.2131)	Prec@1 39.844 (44.363)	Prec@5 73.438 (74.968)
Epoch: [41][12880/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.2325 (2.2131)	Prec@1 36.719 (44.363)	Prec@5 70.312 (74.966)
Epoch: [41][12890/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.4256 (2.2132)	Prec@1 42.969 (44.363)	Prec@5 73.438 (74.965)
Epoch: [41][12900/14090]	Time 0.776 (0.766)	Data 0.001 (0.001)	Loss 2.0214 (2.2132)	Prec@1 46.094 (44.362)	Prec@5 80.469 (74.965)
Epoch: [41][12910/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.3149 (2.2132)	Prec@1 41.406 (44.362)	Prec@5 72.656 (74.964)
Epoch: [41][12920/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.1382 (2.2132)	Prec@1 49.219 (44.362)	Prec@5 78.906 (74.965)
Epoch: [41][12930/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 1.9347 (2.2131)	Prec@1 50.781 (44.364)	Prec@5 82.031 (74.966)
Epoch: [41][12940/14090]	Time 0.998 (0.766)	Data 0.001 (0.001)	Loss 2.1519 (2.2131)	Prec@1 42.188 (44.363)	Prec@5 76.562 (74.966)
Epoch: [41][12950/14090]	Time 0.768 (0.766)	Data 0.001 (0.001)	Loss 1.9796 (2.2130)	Prec@1 47.656 (44.365)	Prec@5 78.125 (74.967)
Epoch: [41][12960/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.3847 (2.2131)	Prec@1 33.594 (44.364)	Prec@5 74.219 (74.966)
Epoch: [41][12970/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.1714 (2.2131)	Prec@1 37.500 (44.363)	Prec@5 79.688 (74.966)
Epoch: [41][12980/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.2233 (2.2131)	Prec@1 43.750 (44.362)	Prec@5 76.562 (74.968)
Epoch: [41][12990/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.2208 (2.2130)	Prec@1 45.312 (44.364)	Prec@5 76.562 (74.969)
Epoch: [41][13000/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.2999 (2.2130)	Prec@1 48.438 (44.364)	Prec@5 73.438 (74.968)
Epoch: [41][13010/14090]	Time 0.868 (0.766)	Data 0.001 (0.001)	Loss 2.1986 (2.2130)	Prec@1 48.438 (44.363)	Prec@5 72.656 (74.969)
Epoch: [41][13020/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 1.8616 (2.2130)	Prec@1 48.438 (44.363)	Prec@5 80.469 (74.970)
Epoch: [41][13030/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.1463 (2.2130)	Prec@1 44.531 (44.364)	Prec@5 76.562 (74.970)
Epoch: [41][13040/14090]	Time 0.770 (0.766)	Data 0.001 (0.001)	Loss 2.2831 (2.2129)	Prec@1 41.406 (44.365)	Prec@5 69.531 (74.969)
Epoch: [41][13050/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.3513 (2.2129)	Prec@1 45.312 (44.364)	Prec@5 67.969 (74.968)
Epoch: [41][13060/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.2241 (2.2129)	Prec@1 42.969 (44.365)	Prec@5 73.438 (74.966)
Epoch: [41][13070/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 2.1494 (2.2129)	Prec@1 46.875 (44.365)	Prec@5 77.344 (74.966)
Epoch: [41][13080/14090]	Time 0.917 (0.766)	Data 0.001 (0.001)	Loss 2.1959 (2.2129)	Prec@1 42.188 (44.365)	Prec@5 74.219 (74.967)
Epoch: [41][13090/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.6487 (2.2129)	Prec@1 30.469 (44.364)	Prec@5 67.969 (74.966)
Epoch: [41][13100/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.0167 (2.2129)	Prec@1 42.969 (44.364)	Prec@5 80.469 (74.966)
Epoch: [41][13110/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.4480 (2.2130)	Prec@1 39.844 (44.363)	Prec@5 73.438 (74.964)
Epoch: [41][13120/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.5314 (2.2130)	Prec@1 36.719 (44.363)	Prec@5 73.438 (74.965)
Epoch: [41][13130/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.4652 (2.2131)	Prec@1 36.719 (44.360)	Prec@5 67.969 (74.963)
Epoch: [41][13140/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.0704 (2.2131)	Prec@1 50.000 (44.361)	Prec@5 74.219 (74.963)
Epoch: [41][13150/14090]	Time 0.870 (0.766)	Data 0.001 (0.001)	Loss 2.1113 (2.2130)	Prec@1 46.094 (44.361)	Prec@5 78.906 (74.964)
Epoch: [41][13160/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.3228 (2.2131)	Prec@1 42.969 (44.359)	Prec@5 71.094 (74.964)
Epoch: [41][13170/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 1.9492 (2.2130)	Prec@1 44.531 (44.361)	Prec@5 75.781 (74.964)
Epoch: [41][13180/14090]	Time 0.772 (0.766)	Data 0.001 (0.001)	Loss 2.0593 (2.2130)	Prec@1 46.094 (44.362)	Prec@5 78.906 (74.964)
Epoch: [41][13190/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.0463 (2.2131)	Prec@1 47.656 (44.361)	Prec@5 76.562 (74.964)
Epoch: [41][13200/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 1.8801 (2.2131)	Prec@1 52.344 (44.362)	Prec@5 79.688 (74.962)
Epoch: [41][13210/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.2166 (2.2131)	Prec@1 47.656 (44.363)	Prec@5 71.875 (74.962)
Epoch: [41][13220/14090]	Time 0.856 (0.766)	Data 0.001 (0.001)	Loss 2.2111 (2.2131)	Prec@1 47.656 (44.364)	Prec@5 78.125 (74.962)
Epoch: [41][13230/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.0079 (2.2131)	Prec@1 46.094 (44.364)	Prec@5 82.812 (74.963)
Epoch: [41][13240/14090]	Time 0.778 (0.766)	Data 0.001 (0.001)	Loss 2.0728 (2.2130)	Prec@1 50.781 (44.367)	Prec@5 78.906 (74.964)
Epoch: [41][13250/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.0552 (2.2129)	Prec@1 49.219 (44.367)	Prec@5 78.906 (74.965)
Epoch: [41][13260/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.4917 (2.2130)	Prec@1 43.750 (44.365)	Prec@5 66.406 (74.964)
Epoch: [41][13270/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.3491 (2.2130)	Prec@1 37.500 (44.366)	Prec@5 75.781 (74.964)
Epoch: [41][13280/14090]	Time 0.724 (0.766)	Data 0.001 (0.001)	Loss 2.4583 (2.2131)	Prec@1 40.625 (44.365)	Prec@5 71.875 (74.962)
Epoch: [41][13290/14090]	Time 0.873 (0.766)	Data 0.001 (0.001)	Loss 2.3734 (2.2131)	Prec@1 40.625 (44.364)	Prec@5 71.875 (74.962)
Epoch: [41][13300/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.2557 (2.2132)	Prec@1 37.500 (44.362)	Prec@5 76.562 (74.961)
Epoch: [41][13310/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.0246 (2.2132)	Prec@1 47.656 (44.361)	Prec@5 82.812 (74.960)
Epoch: [41][13320/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.0216 (2.2131)	Prec@1 53.125 (44.364)	Prec@5 78.906 (74.961)
Epoch: [41][13330/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.1590 (2.2131)	Prec@1 50.781 (44.364)	Prec@5 75.781 (74.960)
Epoch: [41][13340/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.0707 (2.2131)	Prec@1 47.656 (44.364)	Prec@5 78.125 (74.961)
Epoch: [41][13350/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.4029 (2.2130)	Prec@1 39.844 (44.365)	Prec@5 73.438 (74.961)
Epoch: [41][13360/14090]	Time 0.849 (0.766)	Data 0.001 (0.001)	Loss 2.0833 (2.2131)	Prec@1 48.438 (44.366)	Prec@5 79.688 (74.962)
Epoch: [41][13370/14090]	Time 0.720 (0.766)	Data 0.001 (0.001)	Loss 1.9928 (2.2130)	Prec@1 46.875 (44.365)	Prec@5 81.250 (74.963)
Epoch: [41][13380/14090]	Time 0.724 (0.766)	Data 0.001 (0.001)	Loss 2.1553 (2.2129)	Prec@1 44.531 (44.368)	Prec@5 75.781 (74.964)
Epoch: [41][13390/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.2987 (2.2129)	Prec@1 36.719 (44.368)	Prec@5 74.219 (74.964)
Epoch: [41][13400/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.1557 (2.2129)	Prec@1 42.188 (44.369)	Prec@5 76.562 (74.963)
Epoch: [41][13410/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.2002 (2.2129)	Prec@1 42.969 (44.371)	Prec@5 73.438 (74.963)
Epoch: [41][13420/14090]	Time 0.770 (0.766)	Data 0.001 (0.001)	Loss 1.8873 (2.2128)	Prec@1 53.125 (44.372)	Prec@5 79.688 (74.965)
Epoch: [41][13430/14090]	Time 0.860 (0.766)	Data 0.001 (0.001)	Loss 2.3778 (2.2128)	Prec@1 44.531 (44.371)	Prec@5 75.000 (74.965)
Epoch: [41][13440/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.1330 (2.2128)	Prec@1 50.000 (44.372)	Prec@5 77.344 (74.966)
Epoch: [41][13450/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.0466 (2.2127)	Prec@1 49.219 (44.373)	Prec@5 77.344 (74.967)
Epoch: [41][13460/14090]	Time 0.741 (0.766)	Data 0.002 (0.001)	Loss 2.1809 (2.2128)	Prec@1 44.531 (44.374)	Prec@5 73.438 (74.966)
Epoch: [41][13470/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 1.8293 (2.2127)	Prec@1 53.125 (44.376)	Prec@5 80.469 (74.968)
Epoch: [41][13480/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.3104 (2.2127)	Prec@1 43.750 (44.377)	Prec@5 73.438 (74.968)
Epoch: [41][13490/14090]	Time 0.771 (0.766)	Data 0.001 (0.001)	Loss 2.1549 (2.2127)	Prec@1 40.625 (44.377)	Prec@5 78.906 (74.968)
Epoch: [41][13500/14090]	Time 0.871 (0.766)	Data 0.001 (0.001)	Loss 2.0119 (2.2127)	Prec@1 50.000 (44.375)	Prec@5 80.469 (74.967)
Epoch: [41][13510/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.3606 (2.2128)	Prec@1 42.969 (44.374)	Prec@5 68.750 (74.966)
Epoch: [41][13520/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.4297 (2.2127)	Prec@1 42.188 (44.375)	Prec@5 71.094 (74.967)
Epoch: [41][13530/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.1684 (2.2127)	Prec@1 46.875 (44.376)	Prec@5 75.000 (74.966)
Epoch: [41][13540/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.0845 (2.2128)	Prec@1 49.219 (44.376)	Prec@5 80.469 (74.966)
Epoch: [41][13550/14090]	Time 0.767 (0.766)	Data 0.001 (0.001)	Loss 2.2300 (2.2127)	Prec@1 44.531 (44.377)	Prec@5 76.562 (74.966)
Epoch: [41][13560/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 2.2572 (2.2128)	Prec@1 44.531 (44.377)	Prec@5 71.094 (74.965)
Epoch: [41][13570/14090]	Time 0.879 (0.766)	Data 0.001 (0.001)	Loss 2.3371 (2.2128)	Prec@1 42.188 (44.378)	Prec@5 74.219 (74.965)
Epoch: [41][13580/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.3267 (2.2128)	Prec@1 38.281 (44.377)	Prec@5 72.656 (74.965)
Epoch: [41][13590/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.0151 (2.2127)	Prec@1 54.688 (44.378)	Prec@5 78.906 (74.966)
Epoch: [41][13600/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.0861 (2.2128)	Prec@1 48.438 (44.378)	Prec@5 80.469 (74.967)
Epoch: [41][13610/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.2701 (2.2127)	Prec@1 42.188 (44.378)	Prec@5 77.344 (74.970)
Epoch: [41][13620/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 1.9941 (2.2127)	Prec@1 49.219 (44.379)	Prec@5 79.688 (74.969)
Epoch: [41][13630/14090]	Time 0.767 (0.766)	Data 0.001 (0.001)	Loss 2.1650 (2.2127)	Prec@1 43.750 (44.379)	Prec@5 78.906 (74.969)
Epoch: [41][13640/14090]	Time 0.870 (0.766)	Data 0.001 (0.001)	Loss 2.2339 (2.2127)	Prec@1 42.969 (44.379)	Prec@5 74.219 (74.968)
Epoch: [41][13650/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.4745 (2.2126)	Prec@1 40.625 (44.379)	Prec@5 66.406 (74.968)
Epoch: [41][13660/14090]	Time 0.777 (0.766)	Data 0.001 (0.001)	Loss 2.4907 (2.2127)	Prec@1 39.844 (44.379)	Prec@5 75.000 (74.968)
Epoch: [41][13670/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.3203 (2.2127)	Prec@1 43.750 (44.377)	Prec@5 69.531 (74.966)
Epoch: [41][13680/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.2477 (2.2128)	Prec@1 46.875 (44.377)	Prec@5 78.125 (74.967)
Epoch: [41][13690/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.2291 (2.2128)	Prec@1 42.969 (44.377)	Prec@5 75.000 (74.966)
Epoch: [41][13700/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.2170 (2.2128)	Prec@1 46.875 (44.378)	Prec@5 75.000 (74.967)
Epoch: [41][13710/14090]	Time 0.865 (0.766)	Data 0.001 (0.001)	Loss 1.9296 (2.2128)	Prec@1 52.344 (44.378)	Prec@5 79.688 (74.966)
Epoch: [41][13720/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.0723 (2.2128)	Prec@1 44.531 (44.377)	Prec@5 79.688 (74.965)
Epoch: [41][13730/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.2334 (2.2128)	Prec@1 39.844 (44.377)	Prec@5 75.000 (74.966)
Epoch: [41][13740/14090]	Time 0.773 (0.766)	Data 0.001 (0.001)	Loss 2.3908 (2.2128)	Prec@1 34.375 (44.376)	Prec@5 75.781 (74.966)
Epoch: [41][13750/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 1.8453 (2.2129)	Prec@1 52.344 (44.375)	Prec@5 81.250 (74.967)
Epoch: [41][13760/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.2237 (2.2129)	Prec@1 45.312 (44.374)	Prec@5 72.656 (74.967)
Epoch: [41][13770/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.3188 (2.2129)	Prec@1 43.750 (44.375)	Prec@5 74.219 (74.966)
Epoch: [41][13780/14090]	Time 0.855 (0.766)	Data 0.001 (0.001)	Loss 2.4279 (2.2130)	Prec@1 41.406 (44.373)	Prec@5 72.656 (74.965)
Epoch: [41][13790/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.1945 (2.2130)	Prec@1 50.000 (44.374)	Prec@5 74.219 (74.966)
Epoch: [41][13800/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.1375 (2.2130)	Prec@1 42.188 (44.374)	Prec@5 74.219 (74.967)
Epoch: [41][13810/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.3338 (2.2130)	Prec@1 43.750 (44.373)	Prec@5 74.219 (74.966)
Epoch: [41][13820/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.0492 (2.2130)	Prec@1 43.750 (44.373)	Prec@5 79.688 (74.966)
Epoch: [41][13830/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.4157 (2.2130)	Prec@1 39.844 (44.372)	Prec@5 71.875 (74.966)
Epoch: [41][13840/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.2073 (2.2130)	Prec@1 42.969 (44.371)	Prec@5 67.969 (74.965)
Epoch: [41][13850/14090]	Time 0.863 (0.766)	Data 0.001 (0.001)	Loss 2.2986 (2.2130)	Prec@1 32.812 (44.371)	Prec@5 76.562 (74.965)
Epoch: [41][13860/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 1.8359 (2.2130)	Prec@1 53.125 (44.372)	Prec@5 81.250 (74.964)
Epoch: [41][13870/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.1914 (2.2130)	Prec@1 40.625 (44.371)	Prec@5 78.125 (74.964)
Epoch: [41][13880/14090]	Time 0.743 (0.766)	Data 0.002 (0.001)	Loss 2.0173 (2.2130)	Prec@1 46.875 (44.371)	Prec@5 79.688 (74.963)
Epoch: [41][13890/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.5502 (2.2131)	Prec@1 42.969 (44.369)	Prec@5 69.531 (74.962)
Epoch: [41][13900/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.2339 (2.2131)	Prec@1 36.719 (44.370)	Prec@5 72.656 (74.963)
Epoch: [41][13910/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 2.4153 (2.2131)	Prec@1 39.062 (44.369)	Prec@5 72.656 (74.962)
Epoch: [41][13920/14090]	Time 0.889 (0.766)	Data 0.001 (0.001)	Loss 2.0977 (2.2131)	Prec@1 46.875 (44.369)	Prec@5 78.125 (74.962)
Epoch: [41][13930/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 1.9829 (2.2131)	Prec@1 46.875 (44.369)	Prec@5 74.219 (74.963)
Epoch: [41][13940/14090]	Time 0.722 (0.766)	Data 0.001 (0.001)	Loss 2.2033 (2.2131)	Prec@1 42.969 (44.370)	Prec@5 75.000 (74.964)
Epoch: [41][13950/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 2.1948 (2.2131)	Prec@1 44.531 (44.368)	Prec@5 73.438 (74.963)
Epoch: [41][13960/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.0760 (2.2131)	Prec@1 39.062 (44.368)	Prec@5 79.688 (74.963)
Epoch: [41][13970/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.4951 (2.2131)	Prec@1 35.156 (44.367)	Prec@5 71.875 (74.962)
Epoch: [41][13980/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.2980 (2.2132)	Prec@1 43.750 (44.365)	Prec@5 73.438 (74.960)
Epoch: [41][13990/14090]	Time 0.867 (0.766)	Data 0.001 (0.001)	Loss 2.2288 (2.2132)	Prec@1 40.625 (44.363)	Prec@5 78.906 (74.960)
Epoch: [41][14000/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.2453 (2.2132)	Prec@1 43.750 (44.363)	Prec@5 75.000 (74.961)
Epoch: [41][14010/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.3738 (2.2132)	Prec@1 36.719 (44.361)	Prec@5 72.656 (74.961)
Epoch: [41][14020/14090]	Time 0.785 (0.766)	Data 0.001 (0.001)	Loss 2.2163 (2.2133)	Prec@1 46.875 (44.362)	Prec@5 67.188 (74.959)
Epoch: [41][14030/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.3850 (2.2134)	Prec@1 39.062 (44.360)	Prec@5 74.219 (74.958)
Epoch: [41][14040/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 2.1804 (2.2133)	Prec@1 50.781 (44.360)	Prec@5 74.219 (74.958)
Epoch: [41][14050/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.2740 (2.2133)	Prec@1 42.969 (44.361)	Prec@5 73.438 (74.957)
Epoch: [41][14060/14090]	Time 0.867 (0.766)	Data 0.001 (0.001)	Loss 2.3798 (2.2134)	Prec@1 46.094 (44.361)	Prec@5 70.312 (74.958)
Epoch: [41][14070/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.5576 (2.2134)	Prec@1 39.062 (44.359)	Prec@5 68.750 (74.956)
Epoch: [41][14080/14090]	Time 0.737 (0.766)	Data 0.000 (0.001)	Loss 2.1286 (2.2135)	Prec@1 42.969 (44.358)	Prec@5 80.469 (74.955)
Test: [0/286]	Time 4.335 (4.335)	Loss 1.3720 (1.3720)	Prec@1 53.906 (53.906)	Prec@5 92.188 (92.188)
Test: [10/286]	Time 0.246 (0.708)	Loss 1.8637 (1.9255)	Prec@1 46.875 (49.716)	Prec@5 86.719 (82.457)
Test: [20/286]	Time 0.274 (0.540)	Loss 1.6690 (1.8331)	Prec@1 56.250 (51.265)	Prec@5 84.375 (83.631)
Test: [30/286]	Time 0.230 (0.482)	Loss 2.0951 (1.7752)	Prec@1 45.312 (53.528)	Prec@5 78.906 (83.518)
Test: [40/286]	Time 1.212 (0.478)	Loss 1.7463 (1.7680)	Prec@1 43.750 (53.792)	Prec@5 84.375 (83.651)
Test: [50/286]	Time 0.232 (0.456)	Loss 0.7644 (1.7639)	Prec@1 87.500 (53.830)	Prec@5 91.406 (83.747)
Test: [60/286]	Time 0.241 (0.441)	Loss 2.7802 (1.7967)	Prec@1 37.500 (53.330)	Prec@5 67.188 (82.633)
Test: [70/286]	Time 0.250 (0.431)	Loss 1.2979 (1.7773)	Prec@1 66.406 (53.598)	Prec@5 90.625 (83.044)
Test: [80/286]	Time 1.477 (0.438)	Loss 2.0342 (1.8231)	Prec@1 45.312 (52.276)	Prec@5 80.469 (82.475)
Test: [90/286]	Time 0.280 (0.431)	Loss 2.0531 (1.8367)	Prec@1 43.750 (51.906)	Prec@5 85.938 (82.409)
Test: [100/286]	Time 0.241 (0.426)	Loss 2.3789 (1.8537)	Prec@1 26.562 (51.145)	Prec@5 79.688 (82.573)
Test: [110/286]	Time 0.226 (0.421)	Loss 2.0076 (1.8733)	Prec@1 45.312 (50.542)	Prec@5 80.469 (82.369)
Test: [120/286]	Time 1.256 (0.426)	Loss 2.0438 (1.8618)	Prec@1 51.562 (50.872)	Prec@5 77.344 (82.503)
Test: [130/286]	Time 0.238 (0.422)	Loss 1.2211 (1.8478)	Prec@1 63.281 (51.330)	Prec@5 91.406 (82.604)
Test: [140/286]	Time 0.303 (0.420)	Loss 2.2185 (1.8449)	Prec@1 47.656 (51.424)	Prec@5 74.219 (82.552)
Test: [150/286]	Time 0.263 (0.416)	Loss 3.0223 (1.8688)	Prec@1 18.750 (50.636)	Prec@5 68.750 (82.321)
Test: [160/286]	Time 1.238 (0.419)	Loss 2.6881 (1.8675)	Prec@1 27.344 (50.713)	Prec@5 65.625 (82.298)
Test: [170/286]	Time 0.278 (0.418)	Loss 2.3175 (1.8678)	Prec@1 38.281 (50.576)	Prec@5 76.562 (82.305)
Test: [180/286]	Time 0.289 (0.416)	Loss 1.7864 (1.8802)	Prec@1 62.500 (50.367)	Prec@5 79.688 (82.135)
Test: [190/286]	Time 0.229 (0.413)	Loss 3.0198 (1.9022)	Prec@1 14.062 (49.767)	Prec@5 71.094 (81.876)
Test: [200/286]	Time 0.809 (0.416)	Loss 1.8165 (1.8930)	Prec@1 60.156 (50.039)	Prec@5 85.938 (82.004)
Test: [210/286]	Time 0.243 (0.415)	Loss 2.1717 (1.9038)	Prec@1 35.156 (49.659)	Prec@5 80.469 (81.846)
Test: [220/286]	Time 0.349 (0.413)	Loss 3.2287 (1.9115)	Prec@1 17.969 (49.618)	Prec@5 57.031 (81.604)
Test: [230/286]	Time 0.326 (0.412)	Loss 1.2912 (1.9109)	Prec@1 67.188 (49.699)	Prec@5 88.281 (81.585)
Test: [240/286]	Time 0.281 (0.413)	Loss 1.5901 (1.9071)	Prec@1 66.406 (49.870)	Prec@5 87.500 (81.675)
Test: [250/286]	Time 0.320 (0.413)	Loss 1.8058 (1.8976)	Prec@1 53.906 (49.984)	Prec@5 82.031 (81.876)
Test: [260/286]	Time 0.300 (0.411)	Loss 1.6850 (1.8878)	Prec@1 57.031 (50.251)	Prec@5 84.375 (82.028)
Test: [270/286]	Time 0.230 (0.410)	Loss 1.2581 (1.8908)	Prec@1 69.531 (50.190)	Prec@5 89.062 (81.982)
Test: [280/286]	Time 0.285 (0.413)	Loss 1.8640 (1.8746)	Prec@1 51.562 (50.695)	Prec@5 84.375 (82.165)
 * Prec@1 50.856 Prec@5 82.225
Epoch: [42][0/14090]	Time 5.732 (5.732)	Data 4.959 (4.959)	Loss 2.0494 (2.0494)	Prec@1 53.125 (53.125)	Prec@5 75.781 (75.781)
Epoch: [42][10/14090]	Time 0.721 (1.195)	Data 0.001 (0.452)	Loss 2.4696 (2.1888)	Prec@1 39.062 (45.739)	Prec@5 72.656 (74.787)
Epoch: [42][20/14090]	Time 0.746 (0.980)	Data 0.001 (0.237)	Loss 2.5241 (2.1873)	Prec@1 37.500 (45.461)	Prec@5 66.406 (74.554)
Epoch: [42][30/14090]	Time 0.892 (0.911)	Data 0.001 (0.161)	Loss 1.9493 (2.1806)	Prec@1 50.781 (45.590)	Prec@5 79.688 (74.924)
Epoch: [42][40/14090]	Time 0.720 (0.868)	Data 0.001 (0.122)	Loss 2.2934 (2.2012)	Prec@1 42.969 (44.970)	Prec@5 71.875 (74.714)
Epoch: [42][50/14090]	Time 0.751 (0.847)	Data 0.001 (0.098)	Loss 1.9945 (2.1771)	Prec@1 50.781 (45.389)	Prec@5 79.688 (75.199)
Epoch: [42][60/14090]	Time 0.730 (0.834)	Data 0.001 (0.082)	Loss 2.4053 (2.1987)	Prec@1 43.750 (45.082)	Prec@5 67.969 (74.744)
Epoch: [42][70/14090]	Time 0.744 (0.823)	Data 0.001 (0.071)	Loss 2.2649 (2.1986)	Prec@1 47.656 (44.982)	Prec@5 74.219 (74.714)
Epoch: [42][80/14090]	Time 0.766 (0.818)	Data 0.001 (0.062)	Loss 2.1207 (2.1921)	Prec@1 45.312 (44.956)	Prec@5 72.656 (74.807)
Epoch: [42][90/14090]	Time 0.756 (0.812)	Data 0.001 (0.055)	Loss 2.1442 (2.1947)	Prec@1 47.656 (44.806)	Prec@5 78.125 (74.811)
Epoch: [42][100/14090]	Time 0.897 (0.809)	Data 0.001 (0.050)	Loss 2.4630 (2.2047)	Prec@1 35.156 (44.585)	Prec@5 68.750 (74.652)
Epoch: [42][110/14090]	Time 0.737 (0.805)	Data 0.001 (0.046)	Loss 2.1160 (2.2006)	Prec@1 43.750 (44.644)	Prec@5 77.344 (74.733)
Epoch: [42][120/14090]	Time 0.747 (0.802)	Data 0.001 (0.042)	Loss 2.1740 (2.1999)	Prec@1 45.312 (44.615)	Prec@5 76.562 (74.871)
Epoch: [42][130/14090]	Time 0.721 (0.800)	Data 0.002 (0.039)	Loss 2.1221 (2.2009)	Prec@1 44.531 (44.591)	Prec@5 77.344 (74.899)
Epoch: [42][140/14090]	Time 0.763 (0.797)	Data 0.001 (0.036)	Loss 2.4431 (2.2053)	Prec@1 40.625 (44.459)	Prec@5 69.531 (74.806)
Epoch: [42][150/14090]	Time 0.735 (0.797)	Data 0.001 (0.034)	Loss 2.2807 (2.2000)	Prec@1 37.500 (44.562)	Prec@5 75.000 (75.005)
Epoch: [42][160/14090]	Time 0.748 (0.794)	Data 0.001 (0.032)	Loss 1.9338 (2.1994)	Prec@1 55.469 (44.546)	Prec@5 79.688 (74.981)
Epoch: [42][170/14090]	Time 1.018 (0.794)	Data 0.001 (0.030)	Loss 2.1854 (2.2025)	Prec@1 49.219 (44.495)	Prec@5 74.219 (74.959)
Epoch: [42][180/14090]	Time 0.748 (0.793)	Data 0.001 (0.028)	Loss 2.0670 (2.1978)	Prec@1 52.344 (44.574)	Prec@5 77.344 (75.056)
Epoch: [42][190/14090]	Time 0.732 (0.791)	Data 0.001 (0.027)	Loss 1.7261 (2.1938)	Prec@1 56.250 (44.613)	Prec@5 84.375 (75.196)
Epoch: [42][200/14090]	Time 0.743 (0.790)	Data 0.001 (0.026)	Loss 1.9607 (2.1970)	Prec@1 46.875 (44.551)	Prec@5 81.250 (75.163)
Epoch: [42][210/14090]	Time 0.732 (0.788)	Data 0.001 (0.024)	Loss 2.4938 (2.1957)	Prec@1 40.625 (44.539)	Prec@5 67.188 (75.122)
Epoch: [42][220/14090]	Time 0.753 (0.788)	Data 0.001 (0.023)	Loss 2.2719 (2.1973)	Prec@1 46.875 (44.598)	Prec@5 76.562 (75.106)
Epoch: [42][230/14090]	Time 0.740 (0.787)	Data 0.001 (0.022)	Loss 2.3155 (2.1967)	Prec@1 38.281 (44.596)	Prec@5 72.656 (75.085)
Epoch: [42][240/14090]	Time 0.887 (0.786)	Data 0.001 (0.021)	Loss 2.3101 (2.1980)	Prec@1 40.625 (44.551)	Prec@5 71.875 (75.081)
Epoch: [42][250/14090]	Time 0.740 (0.785)	Data 0.001 (0.021)	Loss 1.8415 (2.2016)	Prec@1 49.219 (44.485)	Prec@5 79.688 (75.028)
Epoch: [42][260/14090]	Time 0.743 (0.784)	Data 0.001 (0.020)	Loss 2.2120 (2.2031)	Prec@1 47.656 (44.519)	Prec@5 75.781 (75.027)
Epoch: [42][270/14090]	Time 0.750 (0.784)	Data 0.001 (0.019)	Loss 2.0967 (2.2058)	Prec@1 47.656 (44.528)	Prec@5 79.688 (74.980)
Epoch: [42][280/14090]	Time 0.740 (0.784)	Data 0.001 (0.018)	Loss 1.9737 (2.2032)	Prec@1 53.125 (44.606)	Prec@5 78.906 (75.058)
Epoch: [42][290/14090]	Time 0.730 (0.783)	Data 0.001 (0.018)	Loss 1.9765 (2.2009)	Prec@1 49.219 (44.652)	Prec@5 82.031 (75.078)
Epoch: [42][300/14090]	Time 0.729 (0.783)	Data 0.001 (0.017)	Loss 2.3913 (2.2006)	Prec@1 41.406 (44.671)	Prec@5 74.219 (75.117)
Epoch: [42][310/14090]	Time 0.937 (0.783)	Data 0.001 (0.017)	Loss 2.5074 (2.1994)	Prec@1 36.719 (44.644)	Prec@5 68.750 (75.093)
Epoch: [42][320/14090]	Time 0.743 (0.782)	Data 0.001 (0.016)	Loss 2.0108 (2.1990)	Prec@1 48.438 (44.675)	Prec@5 81.250 (75.100)
Epoch: [42][330/14090]	Time 0.742 (0.782)	Data 0.002 (0.016)	Loss 2.2657 (2.2006)	Prec@1 45.312 (44.652)	Prec@5 77.344 (75.078)
Epoch: [42][340/14090]	Time 0.732 (0.782)	Data 0.001 (0.015)	Loss 2.2060 (2.2026)	Prec@1 46.875 (44.614)	Prec@5 78.906 (75.112)
Epoch: [42][350/14090]	Time 0.751 (0.781)	Data 0.001 (0.015)	Loss 2.3931 (2.2059)	Prec@1 44.531 (44.536)	Prec@5 71.875 (75.036)
Epoch: [42][360/14090]	Time 0.748 (0.782)	Data 0.001 (0.015)	Loss 2.3328 (2.2059)	Prec@1 39.844 (44.512)	Prec@5 71.094 (74.994)
Epoch: [42][370/14090]	Time 0.757 (0.781)	Data 0.001 (0.014)	Loss 2.2433 (2.2088)	Prec@1 47.656 (44.487)	Prec@5 74.219 (74.912)
Epoch: [42][380/14090]	Time 1.047 (0.782)	Data 0.001 (0.014)	Loss 2.0966 (2.2084)	Prec@1 42.969 (44.488)	Prec@5 78.906 (74.947)
Epoch: [42][390/14090]	Time 0.742 (0.781)	Data 0.001 (0.014)	Loss 2.3299 (2.2085)	Prec@1 42.969 (44.547)	Prec@5 71.875 (74.948)
Epoch: [42][400/14090]	Time 0.764 (0.781)	Data 0.001 (0.013)	Loss 2.1758 (2.2082)	Prec@1 41.406 (44.523)	Prec@5 76.562 (75.002)
Epoch: [42][410/14090]	Time 0.746 (0.781)	Data 0.001 (0.013)	Loss 2.3940 (2.2078)	Prec@1 42.188 (44.526)	Prec@5 68.750 (75.019)
Epoch: [42][420/14090]	Time 0.728 (0.780)	Data 0.001 (0.013)	Loss 2.2426 (2.2081)	Prec@1 43.750 (44.507)	Prec@5 71.094 (75.028)
Epoch: [42][430/14090]	Time 0.735 (0.780)	Data 0.001 (0.012)	Loss 2.4401 (2.2074)	Prec@1 39.844 (44.537)	Prec@5 69.531 (75.013)
Epoch: [42][440/14090]	Time 0.747 (0.780)	Data 0.001 (0.012)	Loss 2.2056 (2.2070)	Prec@1 42.969 (44.531)	Prec@5 75.781 (75.032)
Epoch: [42][450/14090]	Time 0.942 (0.780)	Data 0.001 (0.012)	Loss 2.2145 (2.2086)	Prec@1 44.531 (44.457)	Prec@5 75.781 (75.042)
Epoch: [42][460/14090]	Time 0.747 (0.780)	Data 0.001 (0.012)	Loss 1.8956 (2.2054)	Prec@1 53.906 (44.518)	Prec@5 80.469 (75.115)
Epoch: [42][470/14090]	Time 0.746 (0.780)	Data 0.001 (0.011)	Loss 2.1330 (2.2049)	Prec@1 42.188 (44.525)	Prec@5 80.469 (75.126)
Epoch: [42][480/14090]	Time 0.747 (0.780)	Data 0.001 (0.011)	Loss 2.1253 (2.2046)	Prec@1 47.656 (44.531)	Prec@5 76.562 (75.102)
Epoch: [42][490/14090]	Time 0.761 (0.780)	Data 0.001 (0.011)	Loss 2.4282 (2.2048)	Prec@1 39.844 (44.523)	Prec@5 73.438 (75.097)
Epoch: [42][500/14090]	Time 0.753 (0.780)	Data 0.002 (0.011)	Loss 2.1701 (2.2037)	Prec@1 42.969 (44.537)	Prec@5 74.219 (75.108)
Epoch: [42][510/14090]	Time 0.748 (0.779)	Data 0.001 (0.011)	Loss 2.3085 (2.2048)	Prec@1 41.406 (44.525)	Prec@5 72.656 (75.067)
Epoch: [42][520/14090]	Time 0.998 (0.780)	Data 0.001 (0.010)	Loss 2.0835 (2.2039)	Prec@1 42.969 (44.561)	Prec@5 75.781 (75.070)
Epoch: [42][530/14090]	Time 0.736 (0.779)	Data 0.001 (0.010)	Loss 2.2391 (2.2041)	Prec@1 42.969 (44.542)	Prec@5 74.219 (75.079)
Epoch: [42][540/14090]	Time 0.749 (0.779)	Data 0.001 (0.010)	Loss 2.0007 (2.2040)	Prec@1 46.875 (44.530)	Prec@5 79.688 (75.074)
Epoch: [42][550/14090]	Time 0.760 (0.779)	Data 0.001 (0.010)	Loss 2.0604 (2.2034)	Prec@1 53.125 (44.575)	Prec@5 78.906 (75.099)
Epoch: [42][560/14090]	Time 0.732 (0.779)	Data 0.001 (0.010)	Loss 2.3300 (2.2039)	Prec@1 41.406 (44.554)	Prec@5 73.438 (75.093)
Epoch: [42][570/14090]	Time 0.737 (0.779)	Data 0.001 (0.010)	Loss 2.1736 (2.2032)	Prec@1 42.188 (44.570)	Prec@5 77.344 (75.109)
Epoch: [42][580/14090]	Time 0.734 (0.779)	Data 0.001 (0.009)	Loss 1.7985 (2.2032)	Prec@1 52.344 (44.565)	Prec@5 79.688 (75.114)
Epoch: [42][590/14090]	Time 0.845 (0.778)	Data 0.001 (0.009)	Loss 2.3279 (2.2029)	Prec@1 41.406 (44.585)	Prec@5 74.219 (75.145)
Epoch: [42][600/14090]	Time 0.730 (0.778)	Data 0.001 (0.009)	Loss 2.1842 (2.2028)	Prec@1 44.531 (44.566)	Prec@5 75.000 (75.133)
Epoch: [42][610/14090]	Time 0.740 (0.778)	Data 0.001 (0.009)	Loss 2.0446 (2.2017)	Prec@1 47.656 (44.566)	Prec@5 76.562 (75.152)
Epoch: [42][620/14090]	Time 0.758 (0.778)	Data 0.001 (0.009)	Loss 2.2066 (2.2021)	Prec@1 48.438 (44.577)	Prec@5 76.562 (75.176)
Epoch: [42][630/14090]	Time 0.774 (0.778)	Data 0.001 (0.009)	Loss 2.1681 (2.2029)	Prec@1 46.094 (44.581)	Prec@5 71.094 (75.160)
Epoch: [42][640/14090]	Time 0.771 (0.778)	Data 0.001 (0.009)	Loss 2.2274 (2.2026)	Prec@1 50.781 (44.591)	Prec@5 70.312 (75.165)
Epoch: [42][650/14090]	Time 0.725 (0.778)	Data 0.001 (0.008)	Loss 2.1152 (2.2008)	Prec@1 46.875 (44.604)	Prec@5 74.219 (75.188)
Epoch: [42][660/14090]	Time 0.864 (0.778)	Data 0.001 (0.008)	Loss 1.9049 (2.2003)	Prec@1 50.781 (44.648)	Prec@5 84.375 (75.191)
Epoch: [42][670/14090]	Time 0.752 (0.777)	Data 0.002 (0.008)	Loss 2.3155 (2.1992)	Prec@1 44.531 (44.656)	Prec@5 71.875 (75.211)
Epoch: [42][680/14090]	Time 0.753 (0.777)	Data 0.001 (0.008)	Loss 2.2500 (2.1984)	Prec@1 48.438 (44.706)	Prec@5 71.094 (75.213)
Epoch: [42][690/14090]	Time 0.782 (0.777)	Data 0.001 (0.008)	Loss 2.2673 (2.1988)	Prec@1 45.312 (44.691)	Prec@5 77.344 (75.214)
Epoch: [42][700/14090]	Time 0.720 (0.777)	Data 0.001 (0.008)	Loss 2.3580 (2.1980)	Prec@1 39.844 (44.707)	Prec@5 67.969 (75.234)
Epoch: [42][710/14090]	Time 0.737 (0.777)	Data 0.001 (0.008)	Loss 2.1735 (2.1984)	Prec@1 45.312 (44.697)	Prec@5 76.562 (75.237)
Epoch: [42][720/14090]	Time 0.748 (0.777)	Data 0.001 (0.008)	Loss 2.3967 (2.1989)	Prec@1 40.625 (44.696)	Prec@5 68.750 (75.230)
Epoch: [42][730/14090]	Time 0.840 (0.777)	Data 0.001 (0.008)	Loss 1.9132 (2.1982)	Prec@1 46.094 (44.695)	Prec@5 81.250 (75.247)
Epoch: [42][740/14090]	Time 0.743 (0.776)	Data 0.001 (0.008)	Loss 1.9840 (2.1978)	Prec@1 44.531 (44.703)	Prec@5 78.906 (75.241)
Epoch: [42][750/14090]	Time 0.769 (0.776)	Data 0.001 (0.007)	Loss 2.1699 (2.1972)	Prec@1 42.969 (44.713)	Prec@5 78.906 (75.256)
Epoch: [42][760/14090]	Time 0.738 (0.776)	Data 0.001 (0.007)	Loss 2.0483 (2.1969)	Prec@1 45.312 (44.710)	Prec@5 78.906 (75.278)
Epoch: [42][770/14090]	Time 0.759 (0.776)	Data 0.001 (0.007)	Loss 2.4423 (2.1976)	Prec@1 43.750 (44.698)	Prec@5 67.969 (75.262)
Epoch: [42][780/14090]	Time 0.730 (0.776)	Data 0.001 (0.007)	Loss 2.2288 (2.1969)	Prec@1 46.875 (44.711)	Prec@5 75.781 (75.292)
Epoch: [42][790/14090]	Time 0.756 (0.776)	Data 0.001 (0.007)	Loss 1.9742 (2.1963)	Prec@1 52.344 (44.730)	Prec@5 80.469 (75.315)
Epoch: [42][800/14090]	Time 1.059 (0.776)	Data 0.001 (0.007)	Loss 2.0913 (2.1976)	Prec@1 46.094 (44.694)	Prec@5 76.562 (75.285)
Epoch: [42][810/14090]	Time 0.741 (0.776)	Data 0.001 (0.007)	Loss 2.1061 (2.1973)	Prec@1 44.531 (44.686)	Prec@5 77.344 (75.287)
Epoch: [42][820/14090]	Time 0.775 (0.776)	Data 0.001 (0.007)	Loss 2.1000 (2.1972)	Prec@1 46.875 (44.668)	Prec@5 79.688 (75.289)
Epoch: [42][830/14090]	Time 0.730 (0.776)	Data 0.001 (0.007)	Loss 2.3865 (2.1968)	Prec@1 43.750 (44.681)	Prec@5 71.875 (75.309)
Epoch: [42][840/14090]	Time 0.742 (0.775)	Data 0.001 (0.007)	Loss 2.0741 (2.1973)	Prec@1 44.531 (44.686)	Prec@5 80.469 (75.291)
Epoch: [42][850/14090]	Time 0.758 (0.775)	Data 0.001 (0.007)	Loss 2.2774 (2.1974)	Prec@1 42.969 (44.664)	Prec@5 73.438 (75.292)
Epoch: [42][860/14090]	Time 0.737 (0.775)	Data 0.001 (0.007)	Loss 2.2139 (2.1986)	Prec@1 42.969 (44.660)	Prec@5 71.875 (75.280)
Epoch: [42][870/14090]	Time 0.899 (0.775)	Data 0.001 (0.007)	Loss 2.2960 (2.1981)	Prec@1 39.844 (44.677)	Prec@5 77.344 (75.291)
Epoch: [42][880/14090]	Time 0.742 (0.775)	Data 0.001 (0.007)	Loss 2.3677 (2.1988)	Prec@1 50.781 (44.670)	Prec@5 71.875 (75.265)
Epoch: [42][890/14090]	Time 0.745 (0.775)	Data 0.001 (0.006)	Loss 2.2195 (2.1984)	Prec@1 45.312 (44.682)	Prec@5 73.438 (75.274)
Epoch: [42][900/14090]	Time 0.783 (0.775)	Data 0.001 (0.006)	Loss 2.0979 (2.1978)	Prec@1 48.438 (44.679)	Prec@5 76.562 (75.290)
Epoch: [42][910/14090]	Time 0.720 (0.775)	Data 0.001 (0.006)	Loss 2.1957 (2.1980)	Prec@1 41.406 (44.668)	Prec@5 75.781 (75.299)
Epoch: [42][920/14090]	Time 0.749 (0.775)	Data 0.001 (0.006)	Loss 2.0748 (2.1983)	Prec@1 46.094 (44.640)	Prec@5 76.562 (75.293)
Epoch: [42][930/14090]	Time 0.744 (0.775)	Data 0.001 (0.006)	Loss 2.1330 (2.1982)	Prec@1 43.750 (44.631)	Prec@5 77.344 (75.298)
Epoch: [42][940/14090]	Time 0.940 (0.775)	Data 0.001 (0.006)	Loss 2.2250 (2.1976)	Prec@1 43.750 (44.648)	Prec@5 78.125 (75.313)
Epoch: [42][950/14090]	Time 0.750 (0.775)	Data 0.001 (0.006)	Loss 2.3146 (2.1971)	Prec@1 46.094 (44.666)	Prec@5 75.781 (75.329)
Epoch: [42][960/14090]	Time 0.750 (0.775)	Data 0.001 (0.006)	Loss 2.0733 (2.1976)	Prec@1 44.531 (44.661)	Prec@5 78.125 (75.332)
Epoch: [42][970/14090]	Time 0.753 (0.775)	Data 0.001 (0.006)	Loss 2.1921 (2.1978)	Prec@1 46.094 (44.664)	Prec@5 75.000 (75.316)
Epoch: [42][980/14090]	Time 0.767 (0.774)	Data 0.001 (0.006)	Loss 2.3210 (2.1978)	Prec@1 39.844 (44.663)	Prec@5 75.000 (75.327)
Epoch: [42][990/14090]	Time 0.748 (0.775)	Data 0.001 (0.006)	Loss 2.2755 (2.1984)	Prec@1 42.188 (44.653)	Prec@5 70.312 (75.311)
Epoch: [42][1000/14090]	Time 0.743 (0.774)	Data 0.001 (0.006)	Loss 2.1006 (2.1987)	Prec@1 47.656 (44.627)	Prec@5 78.906 (75.311)
Epoch: [42][1010/14090]	Time 0.863 (0.774)	Data 0.001 (0.006)	Loss 2.0051 (2.1992)	Prec@1 46.875 (44.609)	Prec@5 80.469 (75.315)
Epoch: [42][1020/14090]	Time 0.742 (0.774)	Data 0.001 (0.006)	Loss 2.1476 (2.1989)	Prec@1 48.438 (44.609)	Prec@5 77.344 (75.319)
Epoch: [42][1030/14090]	Time 0.738 (0.774)	Data 0.001 (0.006)	Loss 2.0822 (2.1988)	Prec@1 50.000 (44.597)	Prec@5 74.219 (75.313)
Epoch: [42][1040/14090]	Time 0.767 (0.774)	Data 0.001 (0.006)	Loss 2.2224 (2.1990)	Prec@1 42.188 (44.572)	Prec@5 79.688 (75.337)
Epoch: [42][1050/14090]	Time 0.743 (0.774)	Data 0.001 (0.006)	Loss 2.5140 (2.1992)	Prec@1 35.156 (44.560)	Prec@5 67.969 (75.337)
Epoch: [42][1060/14090]	Time 0.760 (0.774)	Data 0.001 (0.006)	Loss 2.3271 (2.1995)	Prec@1 41.406 (44.559)	Prec@5 69.531 (75.333)
Epoch: [42][1070/14090]	Time 0.780 (0.774)	Data 0.001 (0.006)	Loss 2.0803 (2.1994)	Prec@1 46.094 (44.570)	Prec@5 78.125 (75.332)
Epoch: [42][1080/14090]	Time 0.897 (0.774)	Data 0.001 (0.005)	Loss 2.2990 (2.1993)	Prec@1 45.312 (44.565)	Prec@5 71.875 (75.338)
Epoch: [42][1090/14090]	Time 0.766 (0.774)	Data 0.001 (0.005)	Loss 2.2873 (2.1993)	Prec@1 48.438 (44.558)	Prec@5 75.000 (75.336)
Epoch: [42][1100/14090]	Time 0.752 (0.774)	Data 0.001 (0.005)	Loss 2.0995 (2.1985)	Prec@1 46.875 (44.553)	Prec@5 79.688 (75.354)
Epoch: [42][1110/14090]	Time 0.764 (0.774)	Data 0.001 (0.005)	Loss 2.4135 (2.1994)	Prec@1 39.844 (44.531)	Prec@5 72.656 (75.339)
Epoch: [42][1120/14090]	Time 0.774 (0.774)	Data 0.004 (0.005)	Loss 2.0483 (2.1991)	Prec@1 49.219 (44.547)	Prec@5 79.688 (75.339)
Epoch: [42][1130/14090]	Time 0.753 (0.774)	Data 0.001 (0.005)	Loss 2.1158 (2.1989)	Prec@1 44.531 (44.543)	Prec@5 79.688 (75.339)
Epoch: [42][1140/14090]	Time 0.748 (0.774)	Data 0.001 (0.005)	Loss 2.0791 (2.1988)	Prec@1 42.969 (44.544)	Prec@5 78.125 (75.350)
Epoch: [42][1150/14090]	Time 0.904 (0.774)	Data 0.001 (0.005)	Loss 2.3671 (2.1985)	Prec@1 43.750 (44.558)	Prec@5 72.656 (75.360)
Epoch: [42][1160/14090]	Time 0.742 (0.774)	Data 0.001 (0.005)	Loss 2.5308 (2.1993)	Prec@1 36.719 (44.548)	Prec@5 71.094 (75.357)
Epoch: [42][1170/14090]	Time 0.731 (0.773)	Data 0.001 (0.005)	Loss 2.2807 (2.1988)	Prec@1 42.188 (44.555)	Prec@5 74.219 (75.383)
Epoch: [42][1180/14090]	Time 0.738 (0.774)	Data 0.001 (0.005)	Loss 1.9972 (2.1982)	Prec@1 49.219 (44.581)	Prec@5 79.688 (75.390)
Epoch: [42][1190/14090]	Time 0.726 (0.773)	Data 0.001 (0.005)	Loss 2.1192 (2.1979)	Prec@1 47.656 (44.592)	Prec@5 78.125 (75.393)
Epoch: [42][1200/14090]	Time 0.742 (0.773)	Data 0.001 (0.005)	Loss 2.3689 (2.1983)	Prec@1 45.312 (44.603)	Prec@5 72.656 (75.393)
Epoch: [42][1210/14090]	Time 0.737 (0.773)	Data 0.001 (0.005)	Loss 2.1561 (2.1977)	Prec@1 47.656 (44.613)	Prec@5 75.781 (75.410)
Epoch: [42][1220/14090]	Time 1.008 (0.773)	Data 0.001 (0.005)	Loss 2.2656 (2.1973)	Prec@1 43.750 (44.620)	Prec@5 76.562 (75.397)
Epoch: [42][1230/14090]	Time 0.741 (0.773)	Data 0.001 (0.005)	Loss 2.2480 (2.1982)	Prec@1 43.750 (44.597)	Prec@5 71.875 (75.370)
Epoch: [42][1240/14090]	Time 0.752 (0.773)	Data 0.001 (0.005)	Loss 2.0550 (2.1979)	Prec@1 50.000 (44.616)	Prec@5 77.344 (75.371)
Epoch: [42][1250/14090]	Time 0.741 (0.773)	Data 0.001 (0.005)	Loss 2.0087 (2.1973)	Prec@1 50.000 (44.622)	Prec@5 80.469 (75.373)
Epoch: [42][1260/14090]	Time 0.731 (0.773)	Data 0.001 (0.005)	Loss 2.2975 (2.1968)	Prec@1 39.844 (44.622)	Prec@5 75.781 (75.384)
Epoch: [42][1270/14090]	Time 0.759 (0.773)	Data 0.001 (0.005)	Loss 2.3086 (2.1970)	Prec@1 41.406 (44.620)	Prec@5 71.875 (75.377)
Epoch: [42][1280/14090]	Time 0.750 (0.773)	Data 0.001 (0.005)	Loss 2.0322 (2.1966)	Prec@1 42.188 (44.635)	Prec@5 80.469 (75.379)
Epoch: [42][1290/14090]	Time 0.866 (0.773)	Data 0.001 (0.005)	Loss 2.2184 (2.1972)	Prec@1 41.406 (44.629)	Prec@5 78.906 (75.360)
Epoch: [42][1300/14090]	Time 0.738 (0.773)	Data 0.001 (0.005)	Loss 2.0982 (2.1967)	Prec@1 42.188 (44.648)	Prec@5 76.562 (75.372)
Epoch: [42][1310/14090]	Time 0.740 (0.773)	Data 0.001 (0.005)	Loss 2.0733 (2.1965)	Prec@1 47.656 (44.649)	Prec@5 76.562 (75.374)
Epoch: [42][1320/14090]	Time 0.779 (0.773)	Data 0.001 (0.005)	Loss 2.1773 (2.1962)	Prec@1 43.750 (44.651)	Prec@5 81.250 (75.383)
Epoch: [42][1330/14090]	Time 0.741 (0.773)	Data 0.001 (0.005)	Loss 1.9772 (2.1962)	Prec@1 49.219 (44.661)	Prec@5 78.906 (75.380)
Epoch: [42][1340/14090]	Time 0.743 (0.773)	Data 0.001 (0.005)	Loss 2.0725 (2.1961)	Prec@1 50.000 (44.659)	Prec@5 75.781 (75.385)
Epoch: [42][1350/14090]	Time 0.758 (0.773)	Data 0.001 (0.005)	Loss 2.0332 (2.1958)	Prec@1 45.312 (44.668)	Prec@5 78.906 (75.383)
Epoch: [42][1360/14090]	Time 0.876 (0.773)	Data 0.001 (0.005)	Loss 2.5281 (2.1962)	Prec@1 36.719 (44.660)	Prec@5 67.188 (75.379)
Epoch: [42][1370/14090]	Time 0.748 (0.772)	Data 0.001 (0.005)	Loss 2.5272 (2.1967)	Prec@1 35.156 (44.640)	Prec@5 67.188 (75.358)
Epoch: [42][1380/14090]	Time 0.747 (0.772)	Data 0.001 (0.004)	Loss 2.0791 (2.1968)	Prec@1 44.531 (44.635)	Prec@5 80.469 (75.359)
Epoch: [42][1390/14090]	Time 0.752 (0.772)	Data 0.001 (0.004)	Loss 2.0828 (2.1972)	Prec@1 50.781 (44.630)	Prec@5 76.562 (75.347)
Epoch: [42][1400/14090]	Time 0.734 (0.772)	Data 0.001 (0.004)	Loss 2.4238 (2.1985)	Prec@1 35.938 (44.609)	Prec@5 72.656 (75.325)
Epoch: [42][1410/14090]	Time 0.722 (0.772)	Data 0.001 (0.004)	Loss 2.0448 (2.1985)	Prec@1 49.219 (44.610)	Prec@5 81.250 (75.330)
Epoch: [42][1420/14090]	Time 0.755 (0.772)	Data 0.001 (0.004)	Loss 2.1706 (2.1987)	Prec@1 45.312 (44.608)	Prec@5 78.906 (75.334)
Epoch: [42][1430/14090]	Time 0.888 (0.772)	Data 0.001 (0.004)	Loss 2.2873 (2.1993)	Prec@1 44.531 (44.598)	Prec@5 77.344 (75.328)
Epoch: [42][1440/14090]	Time 0.747 (0.772)	Data 0.001 (0.004)	Loss 2.2740 (2.1989)	Prec@1 44.531 (44.604)	Prec@5 69.531 (75.333)
Epoch: [42][1450/14090]	Time 0.764 (0.772)	Data 0.001 (0.004)	Loss 1.9731 (2.1984)	Prec@1 46.094 (44.608)	Prec@5 78.906 (75.339)
Epoch: [42][1460/14090]	Time 0.733 (0.772)	Data 0.001 (0.004)	Loss 2.2950 (2.1982)	Prec@1 43.750 (44.613)	Prec@5 71.875 (75.337)
Epoch: [42][1470/14090]	Time 0.752 (0.772)	Data 0.001 (0.004)	Loss 2.3124 (2.1986)	Prec@1 45.312 (44.608)	Prec@5 71.875 (75.329)
Epoch: [42][1480/14090]	Time 0.742 (0.772)	Data 0.001 (0.004)	Loss 2.3869 (2.1985)	Prec@1 42.188 (44.611)	Prec@5 70.312 (75.327)
Epoch: [42][1490/14090]	Time 0.763 (0.772)	Data 0.001 (0.004)	Loss 2.1172 (2.1984)	Prec@1 48.438 (44.622)	Prec@5 74.219 (75.321)
Epoch: [42][1500/14090]	Time 1.025 (0.772)	Data 0.001 (0.004)	Loss 2.3835 (2.1984)	Prec@1 42.188 (44.618)	Prec@5 70.312 (75.322)
Epoch: [42][1510/14090]	Time 0.759 (0.772)	Data 0.003 (0.004)	Loss 1.9602 (2.1980)	Prec@1 50.781 (44.635)	Prec@5 79.688 (75.328)
Epoch: [42][1520/14090]	Time 0.738 (0.772)	Data 0.001 (0.004)	Loss 1.9213 (2.1976)	Prec@1 52.344 (44.648)	Prec@5 75.000 (75.336)
Epoch: [42][1530/14090]	Time 0.757 (0.772)	Data 0.001 (0.004)	Loss 2.1915 (2.1975)	Prec@1 48.438 (44.655)	Prec@5 71.094 (75.335)
Epoch: [42][1540/14090]	Time 0.750 (0.772)	Data 0.001 (0.004)	Loss 2.4088 (2.1978)	Prec@1 36.719 (44.652)	Prec@5 71.094 (75.324)
Epoch: [42][1550/14090]	Time 0.758 (0.772)	Data 0.001 (0.004)	Loss 2.0064 (2.1978)	Prec@1 46.875 (44.656)	Prec@5 78.125 (75.330)
Epoch: [42][1560/14090]	Time 0.752 (0.772)	Data 0.001 (0.004)	Loss 2.0826 (2.1974)	Prec@1 41.406 (44.660)	Prec@5 79.688 (75.345)
Epoch: [42][1570/14090]	Time 0.887 (0.772)	Data 0.001 (0.004)	Loss 2.0809 (2.1973)	Prec@1 45.312 (44.661)	Prec@5 78.906 (75.350)
Epoch: [42][1580/14090]	Time 0.735 (0.772)	Data 0.001 (0.004)	Loss 2.5817 (2.1972)	Prec@1 36.719 (44.662)	Prec@5 68.750 (75.355)
Epoch: [42][1590/14090]	Time 0.769 (0.772)	Data 0.001 (0.004)	Loss 2.3868 (2.1973)	Prec@1 41.406 (44.661)	Prec@5 71.094 (75.358)
Epoch: [42][1600/14090]	Time 0.738 (0.772)	Data 0.001 (0.004)	Loss 2.0386 (2.1970)	Prec@1 42.969 (44.658)	Prec@5 77.344 (75.366)
Epoch: [42][1610/14090]	Time 0.730 (0.772)	Data 0.001 (0.004)	Loss 2.1969 (2.1968)	Prec@1 43.750 (44.670)	Prec@5 75.000 (75.366)
Epoch: [42][1620/14090]	Time 0.758 (0.772)	Data 0.001 (0.004)	Loss 2.0277 (2.1967)	Prec@1 46.094 (44.662)	Prec@5 76.562 (75.372)
Epoch: [42][1630/14090]	Time 0.784 (0.772)	Data 0.001 (0.004)	Loss 2.1493 (2.1967)	Prec@1 45.312 (44.662)	Prec@5 75.781 (75.368)
Epoch: [42][1640/14090]	Time 0.897 (0.772)	Data 0.001 (0.004)	Loss 2.0416 (2.1959)	Prec@1 45.312 (44.675)	Prec@5 78.125 (75.388)
Epoch: [42][1650/14090]	Time 0.729 (0.772)	Data 0.001 (0.004)	Loss 1.9357 (2.1961)	Prec@1 46.094 (44.669)	Prec@5 85.156 (75.388)
Epoch: [42][1660/14090]	Time 0.783 (0.772)	Data 0.001 (0.004)	Loss 2.1124 (2.1960)	Prec@1 48.438 (44.682)	Prec@5 78.125 (75.383)
Epoch: [42][1670/14090]	Time 0.751 (0.772)	Data 0.001 (0.004)	Loss 2.3250 (2.1958)	Prec@1 44.531 (44.679)	Prec@5 72.656 (75.385)
Epoch: [42][1680/14090]	Time 0.755 (0.772)	Data 0.001 (0.004)	Loss 2.0532 (2.1959)	Prec@1 42.188 (44.677)	Prec@5 78.125 (75.390)
Epoch: [42][1690/14090]	Time 0.757 (0.772)	Data 0.001 (0.004)	Loss 2.0729 (2.1956)	Prec@1 49.219 (44.686)	Prec@5 74.219 (75.393)
Epoch: [42][1700/14090]	Time 0.741 (0.772)	Data 0.001 (0.004)	Loss 2.4351 (2.1954)	Prec@1 39.062 (44.688)	Prec@5 75.000 (75.401)
Epoch: [42][1710/14090]	Time 0.894 (0.772)	Data 0.001 (0.004)	Loss 2.2235 (2.1955)	Prec@1 42.969 (44.688)	Prec@5 75.781 (75.401)
Epoch: [42][1720/14090]	Time 0.744 (0.772)	Data 0.001 (0.004)	Loss 2.0234 (2.1957)	Prec@1 49.219 (44.681)	Prec@5 73.438 (75.389)
Epoch: [42][1730/14090]	Time 0.747 (0.772)	Data 0.001 (0.004)	Loss 2.0279 (2.1957)	Prec@1 49.219 (44.687)	Prec@5 79.688 (75.388)
Epoch: [42][1740/14090]	Time 0.748 (0.772)	Data 0.001 (0.004)	Loss 1.8163 (2.1955)	Prec@1 53.125 (44.679)	Prec@5 82.812 (75.390)
Epoch: [42][1750/14090]	Time 0.731 (0.772)	Data 0.001 (0.004)	Loss 2.3347 (2.1956)	Prec@1 42.188 (44.678)	Prec@5 71.875 (75.393)
Epoch: [42][1760/14090]	Time 0.753 (0.772)	Data 0.001 (0.004)	Loss 2.1877 (2.1956)	Prec@1 47.656 (44.687)	Prec@5 71.875 (75.389)
Epoch: [42][1770/14090]	Time 0.727 (0.772)	Data 0.002 (0.004)	Loss 2.3660 (2.1955)	Prec@1 39.062 (44.677)	Prec@5 71.094 (75.397)
Epoch: [42][1780/14090]	Time 1.072 (0.772)	Data 0.001 (0.004)	Loss 2.0256 (2.1956)	Prec@1 50.781 (44.672)	Prec@5 76.562 (75.387)
Epoch: [42][1790/14090]	Time 0.756 (0.772)	Data 0.001 (0.004)	Loss 2.3463 (2.1963)	Prec@1 50.000 (44.663)	Prec@5 71.094 (75.374)
Epoch: [42][1800/14090]	Time 0.751 (0.771)	Data 0.001 (0.004)	Loss 2.2810 (2.1962)	Prec@1 40.625 (44.665)	Prec@5 74.219 (75.373)
Epoch: [42][1810/14090]	Time 0.769 (0.771)	Data 0.001 (0.004)	Loss 2.1140 (2.1962)	Prec@1 48.438 (44.660)	Prec@5 73.438 (75.370)
Epoch: [42][1820/14090]	Time 0.737 (0.771)	Data 0.001 (0.004)	Loss 2.1441 (2.1959)	Prec@1 40.625 (44.663)	Prec@5 75.781 (75.371)
Epoch: [42][1830/14090]	Time 0.749 (0.771)	Data 0.001 (0.004)	Loss 2.2725 (2.1955)	Prec@1 41.406 (44.665)	Prec@5 72.656 (75.370)
Epoch: [42][1840/14090]	Time 0.730 (0.771)	Data 0.001 (0.004)	Loss 2.0903 (2.1956)	Prec@1 47.656 (44.659)	Prec@5 76.562 (75.370)
Epoch: [42][1850/14090]	Time 0.871 (0.771)	Data 0.001 (0.004)	Loss 2.1684 (2.1959)	Prec@1 44.531 (44.650)	Prec@5 75.000 (75.369)
Epoch: [42][1860/14090]	Time 0.751 (0.771)	Data 0.001 (0.004)	Loss 2.0438 (2.1951)	Prec@1 48.438 (44.670)	Prec@5 77.344 (75.382)
Epoch: [42][1870/14090]	Time 0.775 (0.771)	Data 0.001 (0.004)	Loss 2.1701 (2.1952)	Prec@1 43.750 (44.665)	Prec@5 79.688 (75.381)
Epoch: [42][1880/14090]	Time 0.737 (0.771)	Data 0.001 (0.004)	Loss 2.2677 (2.1958)	Prec@1 39.062 (44.643)	Prec@5 77.344 (75.371)
Epoch: [42][1890/14090]	Time 0.747 (0.771)	Data 0.001 (0.004)	Loss 2.2094 (2.1959)	Prec@1 43.750 (44.643)	Prec@5 81.250 (75.375)
Epoch: [42][1900/14090]	Time 0.751 (0.771)	Data 0.001 (0.003)	Loss 2.3137 (2.1957)	Prec@1 41.406 (44.644)	Prec@5 72.656 (75.375)
Epoch: [42][1910/14090]	Time 0.771 (0.771)	Data 0.001 (0.003)	Loss 2.3274 (2.1958)	Prec@1 42.188 (44.643)	Prec@5 76.562 (75.375)
Epoch: [42][1920/14090]	Time 0.846 (0.771)	Data 0.001 (0.003)	Loss 2.4995 (2.1957)	Prec@1 38.281 (44.654)	Prec@5 72.656 (75.375)
Epoch: [42][1930/14090]	Time 0.718 (0.771)	Data 0.001 (0.003)	Loss 1.9279 (2.1959)	Prec@1 50.000 (44.662)	Prec@5 82.031 (75.371)
Epoch: [42][1940/14090]	Time 0.732 (0.771)	Data 0.001 (0.003)	Loss 1.9997 (2.1959)	Prec@1 44.531 (44.648)	Prec@5 75.781 (75.369)
Epoch: [42][1950/14090]	Time 0.776 (0.771)	Data 0.001 (0.003)	Loss 1.9830 (2.1963)	Prec@1 52.344 (44.638)	Prec@5 78.906 (75.361)
Epoch: [42][1960/14090]	Time 0.747 (0.771)	Data 0.001 (0.003)	Loss 2.2322 (2.1966)	Prec@1 44.531 (44.631)	Prec@5 75.000 (75.353)
Epoch: [42][1970/14090]	Time 0.764 (0.771)	Data 0.001 (0.003)	Loss 2.1888 (2.1964)	Prec@1 44.531 (44.632)	Prec@5 71.875 (75.355)
Epoch: [42][1980/14090]	Time 0.774 (0.771)	Data 0.001 (0.003)	Loss 2.3142 (2.1970)	Prec@1 42.188 (44.627)	Prec@5 75.781 (75.343)
Epoch: [42][1990/14090]	Time 0.835 (0.771)	Data 0.001 (0.003)	Loss 2.1878 (2.1965)	Prec@1 46.094 (44.638)	Prec@5 75.000 (75.355)
Epoch: [42][2000/14090]	Time 0.748 (0.771)	Data 0.001 (0.003)	Loss 2.1427 (2.1968)	Prec@1 50.000 (44.633)	Prec@5 75.000 (75.345)
Epoch: [42][2010/14090]	Time 0.746 (0.771)	Data 0.001 (0.003)	Loss 2.3524 (2.1968)	Prec@1 39.062 (44.632)	Prec@5 67.969 (75.339)
Epoch: [42][2020/14090]	Time 0.766 (0.771)	Data 0.001 (0.003)	Loss 2.2856 (2.1970)	Prec@1 39.062 (44.622)	Prec@5 78.125 (75.340)
Epoch: [42][2030/14090]	Time 0.763 (0.771)	Data 0.001 (0.003)	Loss 2.3087 (2.1968)	Prec@1 43.750 (44.620)	Prec@5 73.438 (75.347)
Epoch: [42][2040/14090]	Time 0.774 (0.771)	Data 0.001 (0.003)	Loss 2.2426 (2.1963)	Prec@1 42.188 (44.612)	Prec@5 72.656 (75.353)
Epoch: [42][2050/14090]	Time 0.760 (0.770)	Data 0.001 (0.003)	Loss 2.3266 (2.1962)	Prec@1 41.406 (44.615)	Prec@5 74.219 (75.359)
Epoch: [42][2060/14090]	Time 0.856 (0.770)	Data 0.001 (0.003)	Loss 2.4174 (2.1962)	Prec@1 39.062 (44.607)	Prec@5 68.750 (75.357)
Epoch: [42][2070/14090]	Time 0.743 (0.770)	Data 0.001 (0.003)	Loss 2.2102 (2.1964)	Prec@1 37.500 (44.600)	Prec@5 73.438 (75.352)
Epoch: [42][2080/14090]	Time 0.738 (0.770)	Data 0.001 (0.003)	Loss 2.3800 (2.1961)	Prec@1 45.312 (44.603)	Prec@5 72.656 (75.359)
Epoch: [42][2090/14090]	Time 0.737 (0.770)	Data 0.001 (0.003)	Loss 2.2236 (2.1965)	Prec@1 42.969 (44.594)	Prec@5 77.344 (75.353)
Epoch: [42][2100/14090]	Time 0.730 (0.770)	Data 0.001 (0.003)	Loss 2.2343 (2.1960)	Prec@1 39.844 (44.600)	Prec@5 71.094 (75.358)
Epoch: [42][2110/14090]	Time 0.740 (0.770)	Data 0.001 (0.003)	Loss 2.1744 (2.1964)	Prec@1 42.188 (44.598)	Prec@5 74.219 (75.353)
Epoch: [42][2120/14090]	Time 0.742 (0.770)	Data 0.001 (0.003)	Loss 2.0686 (2.1963)	Prec@1 43.750 (44.587)	Prec@5 78.906 (75.360)
Epoch: [42][2130/14090]	Time 0.827 (0.770)	Data 0.001 (0.003)	Loss 2.3349 (2.1964)	Prec@1 44.531 (44.588)	Prec@5 73.438 (75.358)
Epoch: [42][2140/14090]	Time 0.770 (0.770)	Data 0.001 (0.003)	Loss 2.0468 (2.1968)	Prec@1 48.438 (44.577)	Prec@5 76.562 (75.350)
Epoch: [42][2150/14090]	Time 0.778 (0.770)	Data 0.001 (0.003)	Loss 2.1087 (2.1967)	Prec@1 46.875 (44.576)	Prec@5 73.438 (75.348)
Epoch: [42][2160/14090]	Time 0.748 (0.770)	Data 0.001 (0.003)	Loss 2.0232 (2.1968)	Prec@1 46.094 (44.576)	Prec@5 81.250 (75.342)
Epoch: [42][2170/14090]	Time 0.749 (0.770)	Data 0.001 (0.003)	Loss 2.3007 (2.1968)	Prec@1 45.312 (44.577)	Prec@5 78.906 (75.346)
Epoch: [42][2180/14090]	Time 0.753 (0.770)	Data 0.001 (0.003)	Loss 2.3856 (2.1971)	Prec@1 47.656 (44.576)	Prec@5 75.781 (75.336)
Epoch: [42][2190/14090]	Time 0.728 (0.770)	Data 0.001 (0.003)	Loss 2.4279 (2.1967)	Prec@1 39.844 (44.582)	Prec@5 71.875 (75.343)
Epoch: [42][2200/14090]	Time 0.871 (0.770)	Data 0.001 (0.003)	Loss 2.0646 (2.1966)	Prec@1 49.219 (44.580)	Prec@5 75.781 (75.347)
Epoch: [42][2210/14090]	Time 0.761 (0.770)	Data 0.001 (0.003)	Loss 2.4348 (2.1971)	Prec@1 41.406 (44.569)	Prec@5 70.312 (75.335)
Epoch: [42][2220/14090]	Time 0.724 (0.770)	Data 0.001 (0.003)	Loss 2.0894 (2.1970)	Prec@1 46.094 (44.575)	Prec@5 78.906 (75.340)
Epoch: [42][2230/14090]	Time 0.766 (0.770)	Data 0.002 (0.003)	Loss 2.2963 (2.1965)	Prec@1 37.500 (44.577)	Prec@5 75.000 (75.349)
Epoch: [42][2240/14090]	Time 0.736 (0.770)	Data 0.001 (0.003)	Loss 2.3781 (2.1966)	Prec@1 40.625 (44.575)	Prec@5 70.312 (75.349)
Epoch: [42][2250/14090]	Time 0.758 (0.770)	Data 0.001 (0.003)	Loss 1.9587 (2.1966)	Prec@1 52.344 (44.586)	Prec@5 80.469 (75.352)
Epoch: [42][2260/14090]	Time 0.728 (0.770)	Data 0.001 (0.003)	Loss 2.0839 (2.1962)	Prec@1 43.750 (44.592)	Prec@5 75.781 (75.356)
Epoch: [42][2270/14090]	Time 0.871 (0.770)	Data 0.001 (0.003)	Loss 2.1867 (2.1963)	Prec@1 44.531 (44.582)	Prec@5 75.781 (75.357)
Epoch: [42][2280/14090]	Time 0.737 (0.770)	Data 0.001 (0.003)	Loss 2.2530 (2.1963)	Prec@1 42.188 (44.583)	Prec@5 72.656 (75.356)
Epoch: [42][2290/14090]	Time 0.747 (0.770)	Data 0.001 (0.003)	Loss 2.1817 (2.1965)	Prec@1 45.312 (44.582)	Prec@5 75.000 (75.343)
Epoch: [42][2300/14090]	Time 0.766 (0.770)	Data 0.001 (0.003)	Loss 2.0044 (2.1966)	Prec@1 46.875 (44.576)	Prec@5 78.906 (75.340)
Epoch: [42][2310/14090]	Time 0.752 (0.770)	Data 0.001 (0.003)	Loss 1.9961 (2.1964)	Prec@1 47.656 (44.572)	Prec@5 82.031 (75.342)
Epoch: [42][2320/14090]	Time 0.734 (0.770)	Data 0.001 (0.003)	Loss 2.2071 (2.1964)	Prec@1 44.531 (44.569)	Prec@5 78.906 (75.344)
Epoch: [42][2330/14090]	Time 0.754 (0.770)	Data 0.001 (0.003)	Loss 2.4049 (2.1966)	Prec@1 39.844 (44.569)	Prec@5 71.875 (75.344)
Epoch: [42][2340/14090]	Time 0.847 (0.770)	Data 0.001 (0.003)	Loss 2.5157 (2.1965)	Prec@1 32.812 (44.561)	Prec@5 72.656 (75.345)
Epoch: [42][2350/14090]	Time 0.768 (0.770)	Data 0.001 (0.003)	Loss 1.9267 (2.1965)	Prec@1 50.000 (44.564)	Prec@5 80.469 (75.349)
Epoch: [42][2360/14090]	Time 0.732 (0.770)	Data 0.001 (0.003)	Loss 2.1879 (2.1963)	Prec@1 45.312 (44.572)	Prec@5 76.562 (75.352)
Epoch: [42][2370/14090]	Time 0.751 (0.770)	Data 0.001 (0.003)	Loss 2.3219 (2.1969)	Prec@1 42.188 (44.557)	Prec@5 68.750 (75.337)
Epoch: [42][2380/14090]	Time 0.746 (0.770)	Data 0.001 (0.003)	Loss 2.3234 (2.1970)	Prec@1 42.969 (44.551)	Prec@5 75.000 (75.336)
Epoch: [42][2390/14090]	Time 0.761 (0.770)	Data 0.001 (0.003)	Loss 2.2237 (2.1972)	Prec@1 39.844 (44.548)	Prec@5 75.000 (75.335)
Epoch: [42][2400/14090]	Time 0.736 (0.770)	Data 0.001 (0.003)	Loss 2.4411 (2.1972)	Prec@1 42.969 (44.551)	Prec@5 69.531 (75.331)
Epoch: [42][2410/14090]	Time 0.873 (0.770)	Data 0.001 (0.003)	Loss 2.4633 (2.1972)	Prec@1 39.062 (44.544)	Prec@5 69.531 (75.322)
Epoch: [42][2420/14090]	Time 0.743 (0.770)	Data 0.001 (0.003)	Loss 2.1025 (2.1971)	Prec@1 48.438 (44.552)	Prec@5 75.000 (75.321)
Epoch: [42][2430/14090]	Time 0.742 (0.770)	Data 0.001 (0.003)	Loss 2.5067 (2.1972)	Prec@1 34.375 (44.544)	Prec@5 67.969 (75.320)
Epoch: [42][2440/14090]	Time 0.727 (0.770)	Data 0.001 (0.003)	Loss 1.9100 (2.1973)	Prec@1 53.906 (44.535)	Prec@5 80.469 (75.325)
Epoch: [42][2450/14090]	Time 0.732 (0.769)	Data 0.001 (0.003)	Loss 2.1728 (2.1969)	Prec@1 42.969 (44.546)	Prec@5 76.562 (75.330)
Epoch: [42][2460/14090]	Time 0.744 (0.769)	Data 0.001 (0.003)	Loss 2.3822 (2.1969)	Prec@1 41.406 (44.547)	Prec@5 74.219 (75.326)
Epoch: [42][2470/14090]	Time 0.764 (0.769)	Data 0.001 (0.003)	Loss 2.1925 (2.1971)	Prec@1 46.094 (44.548)	Prec@5 75.781 (75.327)
Epoch: [42][2480/14090]	Time 0.868 (0.769)	Data 0.001 (0.003)	Loss 1.9771 (2.1970)	Prec@1 50.000 (44.545)	Prec@5 83.594 (75.328)
Epoch: [42][2490/14090]	Time 0.763 (0.769)	Data 0.001 (0.003)	Loss 2.0618 (2.1973)	Prec@1 43.750 (44.548)	Prec@5 74.219 (75.326)
Epoch: [42][2500/14090]	Time 0.746 (0.769)	Data 0.001 (0.003)	Loss 2.0174 (2.1972)	Prec@1 44.531 (44.554)	Prec@5 77.344 (75.326)
Epoch: [42][2510/14090]	Time 0.750 (0.769)	Data 0.001 (0.003)	Loss 2.2956 (2.1974)	Prec@1 43.750 (44.549)	Prec@5 69.531 (75.321)
Epoch: [42][2520/14090]	Time 0.728 (0.769)	Data 0.001 (0.003)	Loss 2.2287 (2.1973)	Prec@1 49.219 (44.547)	Prec@5 73.438 (75.322)
Epoch: [42][2530/14090]	Time 0.751 (0.769)	Data 0.001 (0.003)	Loss 2.2702 (2.1971)	Prec@1 46.875 (44.549)	Prec@5 78.906 (75.336)
Epoch: [42][2540/14090]	Time 0.735 (0.769)	Data 0.001 (0.003)	Loss 2.1466 (2.1971)	Prec@1 44.531 (44.546)	Prec@5 79.688 (75.336)
Epoch: [42][2550/14090]	Time 0.856 (0.769)	Data 0.001 (0.003)	Loss 2.1591 (2.1969)	Prec@1 47.656 (44.547)	Prec@5 71.094 (75.340)
Epoch: [42][2560/14090]	Time 0.732 (0.769)	Data 0.001 (0.003)	Loss 2.0164 (2.1970)	Prec@1 53.125 (44.546)	Prec@5 81.250 (75.341)
Epoch: [42][2570/14090]	Time 0.729 (0.769)	Data 0.001 (0.003)	Loss 2.3965 (2.1969)	Prec@1 39.844 (44.549)	Prec@5 69.531 (75.341)
Epoch: [42][2580/14090]	Time 0.742 (0.769)	Data 0.001 (0.003)	Loss 2.1032 (2.1970)	Prec@1 46.094 (44.544)	Prec@5 79.688 (75.342)
Epoch: [42][2590/14090]	Time 0.754 (0.769)	Data 0.003 (0.003)	Loss 2.1976 (2.1971)	Prec@1 38.281 (44.536)	Prec@5 76.562 (75.343)
Epoch: [42][2600/14090]	Time 0.747 (0.769)	Data 0.001 (0.003)	Loss 2.0069 (2.1970)	Prec@1 46.875 (44.539)	Prec@5 78.906 (75.346)
Epoch: [42][2610/14090]	Time 0.733 (0.769)	Data 0.001 (0.003)	Loss 2.2821 (2.1969)	Prec@1 46.094 (44.542)	Prec@5 75.000 (75.352)
Epoch: [42][2620/14090]	Time 0.862 (0.769)	Data 0.001 (0.003)	Loss 2.2201 (2.1970)	Prec@1 43.750 (44.541)	Prec@5 75.000 (75.351)
Epoch: [42][2630/14090]	Time 0.734 (0.769)	Data 0.001 (0.003)	Loss 2.3897 (2.1973)	Prec@1 49.219 (44.540)	Prec@5 70.312 (75.344)
Epoch: [42][2640/14090]	Time 0.737 (0.769)	Data 0.001 (0.003)	Loss 2.1526 (2.1972)	Prec@1 39.062 (44.542)	Prec@5 79.688 (75.343)
Epoch: [42][2650/14090]	Time 0.747 (0.769)	Data 0.001 (0.003)	Loss 2.2864 (2.1973)	Prec@1 43.750 (44.542)	Prec@5 75.781 (75.340)
Epoch: [42][2660/14090]	Time 0.766 (0.769)	Data 0.001 (0.003)	Loss 2.0374 (2.1974)	Prec@1 50.781 (44.540)	Prec@5 78.125 (75.338)
Epoch: [42][2670/14090]	Time 0.759 (0.769)	Data 0.001 (0.003)	Loss 2.1000 (2.1976)	Prec@1 49.219 (44.543)	Prec@5 75.000 (75.333)
Epoch: [42][2680/14090]	Time 0.757 (0.769)	Data 0.001 (0.003)	Loss 2.1736 (2.1977)	Prec@1 45.312 (44.540)	Prec@5 78.906 (75.331)
Epoch: [42][2690/14090]	Time 0.832 (0.769)	Data 0.001 (0.003)	Loss 2.2681 (2.1977)	Prec@1 44.531 (44.542)	Prec@5 74.219 (75.331)
Epoch: [42][2700/14090]	Time 0.738 (0.769)	Data 0.001 (0.003)	Loss 2.0699 (2.1977)	Prec@1 50.000 (44.544)	Prec@5 80.469 (75.333)
Epoch: [42][2710/14090]	Time 0.741 (0.769)	Data 0.001 (0.003)	Loss 2.3789 (2.1974)	Prec@1 40.625 (44.550)	Prec@5 68.750 (75.337)
Epoch: [42][2720/14090]	Time 0.733 (0.769)	Data 0.001 (0.003)	Loss 2.3059 (2.1978)	Prec@1 44.531 (44.544)	Prec@5 75.781 (75.328)
Epoch: [42][2730/14090]	Time 0.736 (0.769)	Data 0.001 (0.003)	Loss 2.2494 (2.1978)	Prec@1 42.969 (44.544)	Prec@5 75.000 (75.333)
Epoch: [42][2740/14090]	Time 0.748 (0.769)	Data 0.001 (0.003)	Loss 2.1508 (2.1975)	Prec@1 36.719 (44.544)	Prec@5 76.562 (75.335)
Epoch: [42][2750/14090]	Time 0.743 (0.769)	Data 0.001 (0.003)	Loss 2.0300 (2.1974)	Prec@1 45.312 (44.550)	Prec@5 77.344 (75.341)
Epoch: [42][2760/14090]	Time 0.825 (0.769)	Data 0.001 (0.003)	Loss 2.3208 (2.1976)	Prec@1 48.438 (44.550)	Prec@5 75.000 (75.338)
Epoch: [42][2770/14090]	Time 0.746 (0.769)	Data 0.001 (0.003)	Loss 1.9954 (2.1975)	Prec@1 42.969 (44.550)	Prec@5 78.125 (75.341)
Epoch: [42][2780/14090]	Time 0.740 (0.769)	Data 0.001 (0.003)	Loss 2.1892 (2.1976)	Prec@1 47.656 (44.547)	Prec@5 72.656 (75.336)
Epoch: [42][2790/14090]	Time 0.767 (0.769)	Data 0.001 (0.003)	Loss 2.4309 (2.1975)	Prec@1 39.844 (44.542)	Prec@5 67.969 (75.337)
Epoch: [42][2800/14090]	Time 0.733 (0.769)	Data 0.001 (0.003)	Loss 2.0572 (2.1972)	Prec@1 46.875 (44.557)	Prec@5 80.469 (75.348)
Epoch: [42][2810/14090]	Time 0.754 (0.769)	Data 0.001 (0.003)	Loss 1.9327 (2.1971)	Prec@1 50.000 (44.568)	Prec@5 75.000 (75.343)
Epoch: [42][2820/14090]	Time 0.745 (0.769)	Data 0.001 (0.003)	Loss 2.3773 (2.1972)	Prec@1 43.750 (44.568)	Prec@5 73.438 (75.341)
Epoch: [42][2830/14090]	Time 0.846 (0.769)	Data 0.001 (0.003)	Loss 2.2733 (2.1972)	Prec@1 50.000 (44.573)	Prec@5 73.438 (75.341)
Epoch: [42][2840/14090]	Time 0.782 (0.769)	Data 0.001 (0.003)	Loss 1.9639 (2.1970)	Prec@1 46.094 (44.577)	Prec@5 78.906 (75.343)
Epoch: [42][2850/14090]	Time 0.780 (0.769)	Data 0.001 (0.003)	Loss 2.0783 (2.1970)	Prec@1 41.406 (44.575)	Prec@5 73.438 (75.345)
Epoch: [42][2860/14090]	Time 0.738 (0.769)	Data 0.001 (0.003)	Loss 2.1961 (2.1972)	Prec@1 44.531 (44.574)	Prec@5 74.219 (75.339)
Epoch: [42][2870/14090]	Time 0.751 (0.769)	Data 0.001 (0.003)	Loss 2.0767 (2.1971)	Prec@1 48.438 (44.573)	Prec@5 78.906 (75.340)
Epoch: [42][2880/14090]	Time 0.752 (0.769)	Data 0.001 (0.003)	Loss 2.2389 (2.1975)	Prec@1 48.438 (44.566)	Prec@5 73.438 (75.335)
Epoch: [42][2890/14090]	Time 0.757 (0.769)	Data 0.001 (0.003)	Loss 2.1490 (2.1974)	Prec@1 45.312 (44.569)	Prec@5 78.125 (75.338)
Epoch: [42][2900/14090]	Time 0.853 (0.769)	Data 0.001 (0.003)	Loss 2.0113 (2.1973)	Prec@1 42.969 (44.575)	Prec@5 77.344 (75.339)
Epoch: [42][2910/14090]	Time 0.759 (0.769)	Data 0.001 (0.003)	Loss 2.0949 (2.1973)	Prec@1 49.219 (44.575)	Prec@5 78.125 (75.338)
Epoch: [42][2920/14090]	Time 0.727 (0.769)	Data 0.001 (0.003)	Loss 1.9242 (2.1975)	Prec@1 45.312 (44.568)	Prec@5 78.125 (75.338)
Epoch: [42][2930/14090]	Time 0.781 (0.769)	Data 0.001 (0.003)	Loss 2.2559 (2.1976)	Prec@1 39.844 (44.566)	Prec@5 77.344 (75.331)
Epoch: [42][2940/14090]	Time 0.736 (0.769)	Data 0.001 (0.003)	Loss 2.3521 (2.1978)	Prec@1 38.281 (44.565)	Prec@5 70.312 (75.325)
Epoch: [42][2950/14090]	Time 0.746 (0.769)	Data 0.001 (0.003)	Loss 1.9320 (2.1978)	Prec@1 46.094 (44.563)	Prec@5 84.375 (75.328)
Epoch: [42][2960/14090]	Time 0.752 (0.769)	Data 0.001 (0.003)	Loss 2.2202 (2.1976)	Prec@1 40.625 (44.563)	Prec@5 78.906 (75.335)
Epoch: [42][2970/14090]	Time 0.852 (0.769)	Data 0.001 (0.003)	Loss 2.3715 (2.1974)	Prec@1 43.750 (44.565)	Prec@5 74.219 (75.342)
Epoch: [42][2980/14090]	Time 0.745 (0.768)	Data 0.001 (0.003)	Loss 2.1770 (2.1973)	Prec@1 43.750 (44.567)	Prec@5 74.219 (75.348)
Epoch: [42][2990/14090]	Time 0.752 (0.768)	Data 0.001 (0.003)	Loss 2.4009 (2.1976)	Prec@1 41.406 (44.557)	Prec@5 67.969 (75.340)
Epoch: [42][3000/14090]	Time 0.772 (0.768)	Data 0.001 (0.003)	Loss 2.0839 (2.1977)	Prec@1 44.531 (44.554)	Prec@5 77.344 (75.341)
Epoch: [42][3010/14090]	Time 0.747 (0.768)	Data 0.001 (0.002)	Loss 2.3078 (2.1974)	Prec@1 44.531 (44.557)	Prec@5 75.781 (75.345)
Epoch: [42][3020/14090]	Time 0.743 (0.768)	Data 0.001 (0.002)	Loss 2.1597 (2.1975)	Prec@1 45.312 (44.558)	Prec@5 80.469 (75.347)
Epoch: [42][3030/14090]	Time 0.741 (0.768)	Data 0.001 (0.002)	Loss 2.2286 (2.1975)	Prec@1 45.312 (44.557)	Prec@5 74.219 (75.347)
Epoch: [42][3040/14090]	Time 0.816 (0.768)	Data 0.001 (0.002)	Loss 1.8916 (2.1974)	Prec@1 48.438 (44.558)	Prec@5 82.031 (75.345)
Epoch: [42][3050/14090]	Time 0.773 (0.768)	Data 0.001 (0.002)	Loss 2.3035 (2.1975)	Prec@1 44.531 (44.553)	Prec@5 70.312 (75.339)
Epoch: [42][3060/14090]	Time 0.769 (0.768)	Data 0.001 (0.002)	Loss 2.2129 (2.1976)	Prec@1 45.312 (44.553)	Prec@5 72.656 (75.338)
Epoch: [42][3070/14090]	Time 0.745 (0.768)	Data 0.001 (0.002)	Loss 2.1638 (2.1975)	Prec@1 43.750 (44.554)	Prec@5 74.219 (75.337)
Epoch: [42][3080/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 2.2343 (2.1976)	Prec@1 39.844 (44.548)	Prec@5 75.000 (75.336)
Epoch: [42][3090/14090]	Time 0.752 (0.768)	Data 0.001 (0.002)	Loss 2.1691 (2.1975)	Prec@1 42.969 (44.556)	Prec@5 77.344 (75.334)
Epoch: [42][3100/14090]	Time 0.757 (0.768)	Data 0.001 (0.002)	Loss 2.1870 (2.1974)	Prec@1 44.531 (44.555)	Prec@5 74.219 (75.332)
Epoch: [42][3110/14090]	Time 0.892 (0.768)	Data 0.001 (0.002)	Loss 2.2538 (2.1975)	Prec@1 39.844 (44.554)	Prec@5 78.125 (75.329)
Epoch: [42][3120/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 2.1373 (2.1976)	Prec@1 46.094 (44.554)	Prec@5 78.125 (75.324)
Epoch: [42][3130/14090]	Time 0.764 (0.768)	Data 0.001 (0.002)	Loss 1.9872 (2.1973)	Prec@1 46.875 (44.563)	Prec@5 78.125 (75.326)
Epoch: [42][3140/14090]	Time 0.722 (0.768)	Data 0.001 (0.002)	Loss 2.1827 (2.1972)	Prec@1 50.781 (44.564)	Prec@5 78.906 (75.328)
Epoch: [42][3150/14090]	Time 0.753 (0.768)	Data 0.001 (0.002)	Loss 2.3404 (2.1976)	Prec@1 43.750 (44.555)	Prec@5 73.438 (75.325)
Epoch: [42][3160/14090]	Time 0.763 (0.768)	Data 0.001 (0.002)	Loss 2.0948 (2.1977)	Prec@1 48.438 (44.549)	Prec@5 82.031 (75.324)
Epoch: [42][3170/14090]	Time 0.761 (0.768)	Data 0.001 (0.002)	Loss 2.0507 (2.1981)	Prec@1 52.344 (44.540)	Prec@5 76.562 (75.313)
Epoch: [42][3180/14090]	Time 0.847 (0.768)	Data 0.001 (0.002)	Loss 2.3540 (2.1981)	Prec@1 44.531 (44.534)	Prec@5 74.219 (75.310)
Epoch: [42][3190/14090]	Time 0.755 (0.768)	Data 0.001 (0.002)	Loss 2.2710 (2.1982)	Prec@1 40.625 (44.528)	Prec@5 75.000 (75.310)
Epoch: [42][3200/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 2.2341 (2.1984)	Prec@1 46.094 (44.524)	Prec@5 78.906 (75.308)
Epoch: [42][3210/14090]	Time 0.753 (0.768)	Data 0.001 (0.002)	Loss 2.3363 (2.1986)	Prec@1 42.188 (44.520)	Prec@5 71.094 (75.299)
Epoch: [42][3220/14090]	Time 0.741 (0.768)	Data 0.001 (0.002)	Loss 2.4311 (2.1989)	Prec@1 39.844 (44.512)	Prec@5 76.562 (75.294)
Epoch: [42][3230/14090]	Time 0.734 (0.768)	Data 0.001 (0.002)	Loss 2.2436 (2.1990)	Prec@1 45.312 (44.515)	Prec@5 70.312 (75.289)
Epoch: [42][3240/14090]	Time 0.730 (0.768)	Data 0.001 (0.002)	Loss 2.5657 (2.1992)	Prec@1 39.062 (44.512)	Prec@5 65.625 (75.281)
Epoch: [42][3250/14090]	Time 0.847 (0.768)	Data 0.001 (0.002)	Loss 1.9823 (2.1991)	Prec@1 51.562 (44.513)	Prec@5 82.812 (75.281)
Epoch: [42][3260/14090]	Time 0.778 (0.768)	Data 0.001 (0.002)	Loss 2.0207 (2.1989)	Prec@1 49.219 (44.518)	Prec@5 78.125 (75.285)
Epoch: [42][3270/14090]	Time 0.779 (0.768)	Data 0.001 (0.002)	Loss 2.2500 (2.1991)	Prec@1 44.531 (44.517)	Prec@5 75.000 (75.283)
Epoch: [42][3280/14090]	Time 0.735 (0.768)	Data 0.001 (0.002)	Loss 2.2263 (2.1990)	Prec@1 39.062 (44.522)	Prec@5 73.438 (75.283)
Epoch: [42][3290/14090]	Time 0.766 (0.768)	Data 0.001 (0.002)	Loss 2.2690 (2.1991)	Prec@1 43.750 (44.520)	Prec@5 73.438 (75.282)
Epoch: [42][3300/14090]	Time 0.746 (0.768)	Data 0.001 (0.002)	Loss 2.0693 (2.1989)	Prec@1 46.094 (44.521)	Prec@5 76.562 (75.285)
Epoch: [42][3310/14090]	Time 0.738 (0.768)	Data 0.001 (0.002)	Loss 2.1358 (2.1990)	Prec@1 44.531 (44.519)	Prec@5 74.219 (75.282)
Epoch: [42][3320/14090]	Time 0.865 (0.768)	Data 0.001 (0.002)	Loss 2.3536 (2.1991)	Prec@1 41.406 (44.524)	Prec@5 75.000 (75.280)
Epoch: [42][3330/14090]	Time 0.723 (0.768)	Data 0.001 (0.002)	Loss 2.2254 (2.1992)	Prec@1 45.312 (44.521)	Prec@5 75.781 (75.281)
Epoch: [42][3340/14090]	Time 0.748 (0.768)	Data 0.001 (0.002)	Loss 2.2744 (2.1991)	Prec@1 39.844 (44.522)	Prec@5 77.344 (75.279)
Epoch: [42][3350/14090]	Time 0.759 (0.768)	Data 0.001 (0.002)	Loss 2.4246 (2.1991)	Prec@1 40.625 (44.524)	Prec@5 70.312 (75.280)
Epoch: [42][3360/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 2.4264 (2.1993)	Prec@1 39.062 (44.521)	Prec@5 71.094 (75.272)
Epoch: [42][3370/14090]	Time 0.737 (0.768)	Data 0.001 (0.002)	Loss 2.1004 (2.1994)	Prec@1 41.406 (44.520)	Prec@5 78.906 (75.273)
Epoch: [42][3380/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 2.2626 (2.1995)	Prec@1 43.750 (44.514)	Prec@5 69.531 (75.265)
Epoch: [42][3390/14090]	Time 0.871 (0.768)	Data 0.001 (0.002)	Loss 2.1101 (2.1994)	Prec@1 43.750 (44.515)	Prec@5 78.906 (75.271)
Epoch: [42][3400/14090]	Time 0.753 (0.768)	Data 0.001 (0.002)	Loss 2.3025 (2.1993)	Prec@1 40.625 (44.511)	Prec@5 75.000 (75.278)
Epoch: [42][3410/14090]	Time 0.748 (0.768)	Data 0.001 (0.002)	Loss 2.4281 (2.1995)	Prec@1 43.750 (44.512)	Prec@5 71.875 (75.274)
Epoch: [42][3420/14090]	Time 0.728 (0.768)	Data 0.001 (0.002)	Loss 2.4072 (2.1997)	Prec@1 42.969 (44.510)	Prec@5 67.969 (75.265)
Epoch: [42][3430/14090]	Time 0.748 (0.768)	Data 0.001 (0.002)	Loss 2.1813 (2.2000)	Prec@1 43.750 (44.504)	Prec@5 76.562 (75.263)
Epoch: [42][3440/14090]	Time 0.760 (0.768)	Data 0.001 (0.002)	Loss 2.1358 (2.2000)	Prec@1 45.312 (44.505)	Prec@5 76.562 (75.263)
Epoch: [42][3450/14090]	Time 0.746 (0.768)	Data 0.001 (0.002)	Loss 2.1472 (2.2000)	Prec@1 46.094 (44.502)	Prec@5 77.344 (75.264)
Epoch: [42][3460/14090]	Time 0.850 (0.768)	Data 0.001 (0.002)	Loss 2.2568 (2.1999)	Prec@1 45.312 (44.506)	Prec@5 77.344 (75.266)
Epoch: [42][3470/14090]	Time 0.750 (0.768)	Data 0.001 (0.002)	Loss 2.1682 (2.1998)	Prec@1 46.094 (44.511)	Prec@5 76.562 (75.267)
Epoch: [42][3480/14090]	Time 0.726 (0.768)	Data 0.001 (0.002)	Loss 2.6127 (2.1999)	Prec@1 33.594 (44.503)	Prec@5 70.312 (75.269)
Epoch: [42][3490/14090]	Time 0.737 (0.768)	Data 0.001 (0.002)	Loss 2.2558 (2.1999)	Prec@1 39.062 (44.503)	Prec@5 76.562 (75.267)
Epoch: [42][3500/14090]	Time 0.737 (0.768)	Data 0.001 (0.002)	Loss 2.2016 (2.2000)	Prec@1 52.344 (44.500)	Prec@5 75.000 (75.268)
Epoch: [42][3510/14090]	Time 0.763 (0.768)	Data 0.000 (0.002)	Loss 2.1967 (2.2004)	Prec@1 45.312 (44.492)	Prec@5 71.094 (75.263)
Epoch: [42][3520/14090]	Time 0.754 (0.768)	Data 0.001 (0.002)	Loss 1.9602 (2.2001)	Prec@1 47.656 (44.498)	Prec@5 82.812 (75.270)
Epoch: [42][3530/14090]	Time 0.850 (0.768)	Data 0.001 (0.002)	Loss 2.0777 (2.2001)	Prec@1 47.656 (44.497)	Prec@5 78.125 (75.271)
Epoch: [42][3540/14090]	Time 0.721 (0.768)	Data 0.001 (0.002)	Loss 2.2551 (2.2002)	Prec@1 45.312 (44.494)	Prec@5 74.219 (75.269)
Epoch: [42][3550/14090]	Time 0.776 (0.768)	Data 0.001 (0.002)	Loss 2.0742 (2.2002)	Prec@1 46.094 (44.496)	Prec@5 77.344 (75.266)
Epoch: [42][3560/14090]	Time 0.732 (0.768)	Data 0.001 (0.002)	Loss 2.5555 (2.2005)	Prec@1 43.750 (44.494)	Prec@5 67.188 (75.265)
Epoch: [42][3570/14090]	Time 0.758 (0.768)	Data 0.001 (0.002)	Loss 2.2337 (2.2005)	Prec@1 39.062 (44.493)	Prec@5 76.562 (75.265)
Epoch: [42][3580/14090]	Time 0.754 (0.768)	Data 0.001 (0.002)	Loss 2.2214 (2.2005)	Prec@1 45.312 (44.494)	Prec@5 72.656 (75.266)
Epoch: [42][3590/14090]	Time 0.760 (0.768)	Data 0.001 (0.002)	Loss 2.4596 (2.2003)	Prec@1 41.406 (44.496)	Prec@5 71.094 (75.270)
Epoch: [42][3600/14090]	Time 0.841 (0.768)	Data 0.001 (0.002)	Loss 2.0721 (2.2004)	Prec@1 47.656 (44.491)	Prec@5 78.906 (75.269)
Epoch: [42][3610/14090]	Time 0.741 (0.768)	Data 0.001 (0.002)	Loss 2.3138 (2.2003)	Prec@1 44.531 (44.500)	Prec@5 71.094 (75.270)
Epoch: [42][3620/14090]	Time 0.736 (0.768)	Data 0.001 (0.002)	Loss 2.2956 (2.2003)	Prec@1 40.625 (44.499)	Prec@5 75.000 (75.271)
Epoch: [42][3630/14090]	Time 0.748 (0.768)	Data 0.001 (0.002)	Loss 2.1914 (2.2005)	Prec@1 48.438 (44.499)	Prec@5 73.438 (75.267)
Epoch: [42][3640/14090]	Time 0.757 (0.768)	Data 0.001 (0.002)	Loss 2.2045 (2.2004)	Prec@1 47.656 (44.505)	Prec@5 76.562 (75.268)
Epoch: [42][3650/14090]	Time 0.761 (0.768)	Data 0.001 (0.002)	Loss 2.0922 (2.2004)	Prec@1 43.750 (44.501)	Prec@5 79.688 (75.268)
Epoch: [42][3660/14090]	Time 0.752 (0.768)	Data 0.001 (0.002)	Loss 2.1540 (2.2004)	Prec@1 46.875 (44.500)	Prec@5 76.562 (75.271)
Epoch: [42][3670/14090]	Time 0.886 (0.768)	Data 0.001 (0.002)	Loss 2.3190 (2.2005)	Prec@1 39.844 (44.500)	Prec@5 71.875 (75.269)
Epoch: [42][3680/14090]	Time 0.757 (0.768)	Data 0.001 (0.002)	Loss 2.3272 (2.2005)	Prec@1 44.531 (44.502)	Prec@5 72.656 (75.269)
Epoch: [42][3690/14090]	Time 0.752 (0.768)	Data 0.001 (0.002)	Loss 2.5464 (2.2008)	Prec@1 46.875 (44.499)	Prec@5 70.312 (75.262)
Epoch: [42][3700/14090]	Time 0.756 (0.768)	Data 0.001 (0.002)	Loss 1.7920 (2.2006)	Prec@1 53.906 (44.504)	Prec@5 81.250 (75.267)
Epoch: [42][3710/14090]	Time 0.743 (0.768)	Data 0.001 (0.002)	Loss 1.9208 (2.2006)	Prec@1 47.656 (44.500)	Prec@5 82.031 (75.267)
Epoch: [42][3720/14090]	Time 0.723 (0.768)	Data 0.001 (0.002)	Loss 2.3621 (2.2008)	Prec@1 45.312 (44.498)	Prec@5 73.438 (75.264)
Epoch: [42][3730/14090]	Time 0.762 (0.768)	Data 0.001 (0.002)	Loss 2.1989 (2.2009)	Prec@1 45.312 (44.490)	Prec@5 73.438 (75.264)
Epoch: [42][3740/14090]	Time 0.875 (0.768)	Data 0.001 (0.002)	Loss 2.2961 (2.2009)	Prec@1 42.188 (44.487)	Prec@5 72.656 (75.265)
Epoch: [42][3750/14090]	Time 0.755 (0.768)	Data 0.001 (0.002)	Loss 2.2397 (2.2007)	Prec@1 45.312 (44.489)	Prec@5 78.125 (75.272)
Epoch: [42][3760/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 1.9168 (2.2007)	Prec@1 50.000 (44.487)	Prec@5 79.688 (75.274)
Epoch: [42][3770/14090]	Time 0.754 (0.768)	Data 0.001 (0.002)	Loss 2.1896 (2.2007)	Prec@1 42.969 (44.488)	Prec@5 74.219 (75.272)
Epoch: [42][3780/14090]	Time 0.777 (0.768)	Data 0.001 (0.002)	Loss 2.0932 (2.2006)	Prec@1 42.188 (44.487)	Prec@5 74.219 (75.272)
Epoch: [42][3790/14090]	Time 0.732 (0.768)	Data 0.001 (0.002)	Loss 2.1605 (2.2005)	Prec@1 42.188 (44.488)	Prec@5 72.656 (75.270)
Epoch: [42][3800/14090]	Time 0.731 (0.768)	Data 0.001 (0.002)	Loss 2.4988 (2.2005)	Prec@1 44.531 (44.491)	Prec@5 64.062 (75.269)
Epoch: [42][3810/14090]	Time 0.858 (0.768)	Data 0.001 (0.002)	Loss 2.3513 (2.2006)	Prec@1 41.406 (44.487)	Prec@5 74.219 (75.268)
Epoch: [42][3820/14090]	Time 0.758 (0.768)	Data 0.001 (0.002)	Loss 2.2300 (2.2006)	Prec@1 47.656 (44.490)	Prec@5 74.219 (75.267)
Epoch: [42][3830/14090]	Time 0.787 (0.768)	Data 0.001 (0.002)	Loss 2.1024 (2.2006)	Prec@1 50.000 (44.493)	Prec@5 71.875 (75.265)
Epoch: [42][3840/14090]	Time 0.731 (0.768)	Data 0.001 (0.002)	Loss 2.3308 (2.2006)	Prec@1 38.281 (44.490)	Prec@5 75.000 (75.266)
Epoch: [42][3850/14090]	Time 0.746 (0.768)	Data 0.001 (0.002)	Loss 2.4797 (2.2008)	Prec@1 38.281 (44.485)	Prec@5 72.656 (75.262)
Epoch: [42][3860/14090]	Time 0.763 (0.767)	Data 0.001 (0.002)	Loss 2.2863 (2.2008)	Prec@1 42.188 (44.486)	Prec@5 75.000 (75.265)
Epoch: [42][3870/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 2.2399 (2.2008)	Prec@1 48.438 (44.487)	Prec@5 73.438 (75.266)
Epoch: [42][3880/14090]	Time 0.850 (0.768)	Data 0.001 (0.002)	Loss 2.4146 (2.2009)	Prec@1 40.625 (44.490)	Prec@5 72.656 (75.265)
Epoch: [42][3890/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 2.1512 (2.2007)	Prec@1 45.312 (44.493)	Prec@5 77.344 (75.267)
Epoch: [42][3900/14090]	Time 0.766 (0.767)	Data 0.001 (0.002)	Loss 2.1251 (2.2008)	Prec@1 50.000 (44.492)	Prec@5 77.344 (75.266)
Epoch: [42][3910/14090]	Time 0.776 (0.767)	Data 0.001 (0.002)	Loss 2.1166 (2.2005)	Prec@1 46.094 (44.496)	Prec@5 79.688 (75.269)
Epoch: [42][3920/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 2.4096 (2.2007)	Prec@1 41.406 (44.492)	Prec@5 71.094 (75.264)
Epoch: [42][3930/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.6982 (2.2009)	Prec@1 41.406 (44.491)	Prec@5 64.844 (75.263)
Epoch: [42][3940/14090]	Time 0.740 (0.767)	Data 0.006 (0.002)	Loss 2.2168 (2.2009)	Prec@1 42.188 (44.493)	Prec@5 78.125 (75.266)
Epoch: [42][3950/14090]	Time 0.859 (0.767)	Data 0.001 (0.002)	Loss 1.9329 (2.2011)	Prec@1 54.688 (44.494)	Prec@5 78.125 (75.263)
Epoch: [42][3960/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 2.3096 (2.2010)	Prec@1 45.312 (44.497)	Prec@5 74.219 (75.263)
Epoch: [42][3970/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 2.1125 (2.2009)	Prec@1 50.781 (44.499)	Prec@5 78.125 (75.266)
Epoch: [42][3980/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 2.4358 (2.2009)	Prec@1 46.875 (44.500)	Prec@5 72.656 (75.266)
Epoch: [42][3990/14090]	Time 0.760 (0.767)	Data 0.001 (0.002)	Loss 2.1132 (2.2011)	Prec@1 46.094 (44.496)	Prec@5 74.219 (75.265)
Epoch: [42][4000/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 2.3019 (2.2014)	Prec@1 44.531 (44.496)	Prec@5 75.000 (75.260)
Epoch: [42][4010/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 2.1331 (2.2014)	Prec@1 53.125 (44.498)	Prec@5 77.344 (75.260)
Epoch: [42][4020/14090]	Time 0.876 (0.767)	Data 0.001 (0.002)	Loss 2.2644 (2.2013)	Prec@1 47.656 (44.507)	Prec@5 73.438 (75.260)
Epoch: [42][4030/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 2.2168 (2.2012)	Prec@1 47.656 (44.509)	Prec@5 72.656 (75.259)
Epoch: [42][4040/14090]	Time 0.765 (0.767)	Data 0.001 (0.002)	Loss 2.3445 (2.2014)	Prec@1 42.188 (44.504)	Prec@5 73.438 (75.257)
Epoch: [42][4050/14090]	Time 0.731 (0.767)	Data 0.001 (0.002)	Loss 2.1151 (2.2013)	Prec@1 45.312 (44.506)	Prec@5 78.125 (75.259)
Epoch: [42][4060/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 2.2265 (2.2015)	Prec@1 42.969 (44.505)	Prec@5 71.875 (75.251)
Epoch: [42][4070/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.0771 (2.2015)	Prec@1 49.219 (44.506)	Prec@5 77.344 (75.253)
Epoch: [42][4080/14090]	Time 0.767 (0.767)	Data 0.001 (0.002)	Loss 2.3225 (2.2015)	Prec@1 42.969 (44.508)	Prec@5 71.875 (75.253)
Epoch: [42][4090/14090]	Time 0.865 (0.767)	Data 0.001 (0.002)	Loss 2.3250 (2.2015)	Prec@1 42.969 (44.508)	Prec@5 71.094 (75.250)
Epoch: [42][4100/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 2.1160 (2.2016)	Prec@1 44.531 (44.510)	Prec@5 76.562 (75.249)
Epoch: [42][4110/14090]	Time 0.765 (0.767)	Data 0.001 (0.002)	Loss 2.1233 (2.2016)	Prec@1 48.438 (44.508)	Prec@5 76.562 (75.253)
Epoch: [42][4120/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 2.2027 (2.2013)	Prec@1 46.875 (44.513)	Prec@5 79.688 (75.256)
Epoch: [42][4130/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 2.1633 (2.2015)	Prec@1 45.312 (44.511)	Prec@5 72.656 (75.256)
Epoch: [42][4140/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 2.2824 (2.2016)	Prec@1 38.281 (44.506)	Prec@5 71.094 (75.252)
Epoch: [42][4150/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 2.1372 (2.2016)	Prec@1 44.531 (44.507)	Prec@5 77.344 (75.251)
Epoch: [42][4160/14090]	Time 0.867 (0.767)	Data 0.001 (0.002)	Loss 2.2855 (2.2017)	Prec@1 46.875 (44.505)	Prec@5 67.969 (75.249)
Epoch: [42][4170/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 2.3275 (2.2016)	Prec@1 43.750 (44.506)	Prec@5 75.781 (75.251)
Epoch: [42][4180/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 2.3013 (2.2017)	Prec@1 43.750 (44.503)	Prec@5 71.094 (75.249)
Epoch: [42][4190/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 2.2244 (2.2016)	Prec@1 47.656 (44.507)	Prec@5 75.000 (75.250)
Epoch: [42][4200/14090]	Time 0.728 (0.767)	Data 0.001 (0.002)	Loss 2.1745 (2.2014)	Prec@1 45.312 (44.512)	Prec@5 75.781 (75.252)
Epoch: [42][4210/14090]	Time 0.757 (0.767)	Data 0.001 (0.002)	Loss 2.3641 (2.2015)	Prec@1 39.062 (44.508)	Prec@5 73.438 (75.248)
Epoch: [42][4220/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 2.2082 (2.2015)	Prec@1 42.188 (44.508)	Prec@5 75.781 (75.246)
Epoch: [42][4230/14090]	Time 0.853 (0.767)	Data 0.001 (0.002)	Loss 2.2047 (2.2014)	Prec@1 46.875 (44.511)	Prec@5 70.312 (75.247)
Epoch: [42][4240/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 2.1024 (2.2015)	Prec@1 46.875 (44.508)	Prec@5 78.125 (75.247)
Epoch: [42][4250/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.2643 (2.2016)	Prec@1 46.094 (44.509)	Prec@5 72.656 (75.243)
Epoch: [42][4260/14090]	Time 0.771 (0.767)	Data 0.001 (0.002)	Loss 2.6797 (2.2018)	Prec@1 29.688 (44.506)	Prec@5 68.750 (75.237)
Epoch: [42][4270/14090]	Time 0.764 (0.767)	Data 0.001 (0.002)	Loss 2.2031 (2.2019)	Prec@1 43.750 (44.501)	Prec@5 78.125 (75.236)
Epoch: [42][4280/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 2.2306 (2.2017)	Prec@1 41.406 (44.509)	Prec@5 77.344 (75.242)
Epoch: [42][4290/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 2.1869 (2.2015)	Prec@1 46.094 (44.514)	Prec@5 74.219 (75.246)
Epoch: [42][4300/14090]	Time 0.907 (0.767)	Data 0.001 (0.002)	Loss 2.3180 (2.2015)	Prec@1 44.531 (44.511)	Prec@5 72.656 (75.246)
Epoch: [42][4310/14090]	Time 0.768 (0.767)	Data 0.001 (0.002)	Loss 2.3323 (2.2015)	Prec@1 43.750 (44.513)	Prec@5 73.438 (75.245)
Epoch: [42][4320/14090]	Time 0.731 (0.767)	Data 0.001 (0.002)	Loss 2.1935 (2.2016)	Prec@1 49.219 (44.516)	Prec@5 72.656 (75.243)
Epoch: [42][4330/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 2.6049 (2.2017)	Prec@1 34.375 (44.515)	Prec@5 67.188 (75.238)
Epoch: [42][4340/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.3099 (2.2017)	Prec@1 40.625 (44.513)	Prec@5 73.438 (75.238)
Epoch: [42][4350/14090]	Time 0.760 (0.767)	Data 0.001 (0.002)	Loss 2.0828 (2.2018)	Prec@1 51.562 (44.509)	Prec@5 74.219 (75.237)
Epoch: [42][4360/14090]	Time 0.727 (0.767)	Data 0.001 (0.002)	Loss 2.3759 (2.2016)	Prec@1 42.969 (44.509)	Prec@5 69.531 (75.240)
Epoch: [42][4370/14090]	Time 0.861 (0.767)	Data 0.001 (0.002)	Loss 2.0902 (2.2016)	Prec@1 47.656 (44.510)	Prec@5 73.438 (75.241)
Epoch: [42][4380/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 1.9976 (2.2018)	Prec@1 50.781 (44.507)	Prec@5 78.125 (75.236)
Epoch: [42][4390/14090]	Time 0.760 (0.767)	Data 0.001 (0.002)	Loss 2.0622 (2.2016)	Prec@1 47.656 (44.506)	Prec@5 78.125 (75.241)
Epoch: [42][4400/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 1.9514 (2.2015)	Prec@1 48.438 (44.504)	Prec@5 81.250 (75.243)
Epoch: [42][4410/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 2.1955 (2.2017)	Prec@1 46.094 (44.504)	Prec@5 71.875 (75.237)
Epoch: [42][4420/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 2.2821 (2.2016)	Prec@1 49.219 (44.506)	Prec@5 75.781 (75.238)
Epoch: [42][4430/14090]	Time 0.767 (0.767)	Data 0.001 (0.002)	Loss 2.1359 (2.2017)	Prec@1 42.969 (44.509)	Prec@5 79.688 (75.239)
Epoch: [42][4440/14090]	Time 0.855 (0.767)	Data 0.001 (0.002)	Loss 2.1092 (2.2015)	Prec@1 47.656 (44.511)	Prec@5 78.906 (75.246)
Epoch: [42][4450/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 2.3044 (2.2015)	Prec@1 41.406 (44.511)	Prec@5 71.094 (75.244)
Epoch: [42][4460/14090]	Time 0.760 (0.767)	Data 0.001 (0.002)	Loss 2.3413 (2.2016)	Prec@1 42.188 (44.507)	Prec@5 69.531 (75.240)
Epoch: [42][4470/14090]	Time 0.731 (0.767)	Data 0.001 (0.002)	Loss 2.2764 (2.2017)	Prec@1 35.938 (44.508)	Prec@5 77.344 (75.244)
Epoch: [42][4480/14090]	Time 0.728 (0.767)	Data 0.001 (0.002)	Loss 2.1122 (2.2015)	Prec@1 45.312 (44.510)	Prec@5 75.781 (75.249)
Epoch: [42][4490/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 1.8745 (2.2013)	Prec@1 46.875 (44.514)	Prec@5 83.594 (75.253)
Epoch: [42][4500/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 2.5025 (2.2014)	Prec@1 40.625 (44.513)	Prec@5 67.969 (75.251)
Epoch: [42][4510/14090]	Time 0.871 (0.767)	Data 0.001 (0.002)	Loss 2.2771 (2.2013)	Prec@1 42.969 (44.511)	Prec@5 78.125 (75.253)
Epoch: [42][4520/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 2.1744 (2.2014)	Prec@1 44.531 (44.507)	Prec@5 67.969 (75.248)
Epoch: [42][4530/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 2.0372 (2.2015)	Prec@1 43.750 (44.502)	Prec@5 78.125 (75.245)
Epoch: [42][4540/14090]	Time 0.762 (0.767)	Data 0.001 (0.002)	Loss 2.1557 (2.2015)	Prec@1 43.750 (44.501)	Prec@5 76.562 (75.242)
Epoch: [42][4550/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 2.4146 (2.2017)	Prec@1 37.500 (44.497)	Prec@5 75.781 (75.242)
Epoch: [42][4560/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 1.9590 (2.2013)	Prec@1 50.000 (44.502)	Prec@5 80.469 (75.249)
Epoch: [42][4570/14090]	Time 0.779 (0.767)	Data 0.001 (0.002)	Loss 2.3561 (2.2012)	Prec@1 40.625 (44.503)	Prec@5 73.438 (75.248)
Epoch: [42][4580/14090]	Time 0.874 (0.767)	Data 0.001 (0.002)	Loss 2.3233 (2.2014)	Prec@1 42.969 (44.500)	Prec@5 72.656 (75.243)
Epoch: [42][4590/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 2.3405 (2.2012)	Prec@1 42.188 (44.503)	Prec@5 70.312 (75.245)
Epoch: [42][4600/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 1.8078 (2.2012)	Prec@1 52.344 (44.501)	Prec@5 82.812 (75.243)
Epoch: [42][4610/14090]	Time 0.775 (0.767)	Data 0.001 (0.002)	Loss 2.1938 (2.2011)	Prec@1 42.969 (44.502)	Prec@5 73.438 (75.244)
Epoch: [42][4620/14090]	Time 0.724 (0.767)	Data 0.001 (0.002)	Loss 2.1522 (2.2011)	Prec@1 42.188 (44.501)	Prec@5 76.562 (75.244)
Epoch: [42][4630/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 2.2055 (2.2011)	Prec@1 40.625 (44.503)	Prec@5 73.438 (75.243)
Epoch: [42][4640/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 2.0380 (2.2012)	Prec@1 50.781 (44.504)	Prec@5 80.469 (75.244)
Epoch: [42][4650/14090]	Time 0.851 (0.767)	Data 0.001 (0.002)	Loss 2.6249 (2.2013)	Prec@1 37.500 (44.503)	Prec@5 67.188 (75.243)
Epoch: [42][4660/14090]	Time 0.781 (0.767)	Data 0.001 (0.002)	Loss 2.2615 (2.2014)	Prec@1 46.094 (44.505)	Prec@5 73.438 (75.240)
Epoch: [42][4670/14090]	Time 0.722 (0.767)	Data 0.001 (0.002)	Loss 1.9136 (2.2013)	Prec@1 52.344 (44.508)	Prec@5 78.906 (75.243)
Epoch: [42][4680/14090]	Time 0.786 (0.767)	Data 0.001 (0.002)	Loss 2.3601 (2.2012)	Prec@1 41.406 (44.508)	Prec@5 71.094 (75.243)
Epoch: [42][4690/14090]	Time 0.771 (0.767)	Data 0.001 (0.002)	Loss 2.3575 (2.2012)	Prec@1 42.969 (44.510)	Prec@5 71.875 (75.245)
Epoch: [42][4700/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 2.1885 (2.2012)	Prec@1 44.531 (44.513)	Prec@5 78.906 (75.246)
Epoch: [42][4710/14090]	Time 0.763 (0.767)	Data 0.001 (0.002)	Loss 2.3607 (2.2011)	Prec@1 42.188 (44.515)	Prec@5 69.531 (75.246)
Epoch: [42][4720/14090]	Time 0.916 (0.767)	Data 0.001 (0.002)	Loss 2.1943 (2.2013)	Prec@1 46.094 (44.512)	Prec@5 78.125 (75.246)
Epoch: [42][4730/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 2.1546 (2.2011)	Prec@1 46.094 (44.512)	Prec@5 71.875 (75.250)
Epoch: [42][4740/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 2.5272 (2.2011)	Prec@1 34.375 (44.509)	Prec@5 74.219 (75.252)
Epoch: [42][4750/14090]	Time 0.778 (0.767)	Data 0.001 (0.002)	Loss 2.3476 (2.2013)	Prec@1 42.188 (44.509)	Prec@5 66.406 (75.247)
Epoch: [42][4760/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 1.7853 (2.2013)	Prec@1 50.781 (44.506)	Prec@5 85.938 (75.249)
Epoch: [42][4770/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 1.8996 (2.2010)	Prec@1 47.656 (44.513)	Prec@5 78.906 (75.255)
Epoch: [42][4780/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 2.3687 (2.2010)	Prec@1 42.188 (44.512)	Prec@5 71.875 (75.254)
Epoch: [42][4790/14090]	Time 0.852 (0.767)	Data 0.001 (0.002)	Loss 2.3730 (2.2011)	Prec@1 39.062 (44.509)	Prec@5 68.750 (75.248)
Epoch: [42][4800/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 2.2579 (2.2012)	Prec@1 44.531 (44.509)	Prec@5 71.875 (75.246)
Epoch: [42][4810/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 2.1723 (2.2010)	Prec@1 48.438 (44.512)	Prec@5 75.000 (75.247)
Epoch: [42][4820/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 2.2510 (2.2010)	Prec@1 41.406 (44.510)	Prec@5 75.000 (75.249)
Epoch: [42][4830/14090]	Time 0.769 (0.767)	Data 0.001 (0.002)	Loss 2.4032 (2.2010)	Prec@1 40.625 (44.511)	Prec@5 69.531 (75.248)
Epoch: [42][4840/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 2.2569 (2.2010)	Prec@1 39.062 (44.512)	Prec@5 73.438 (75.244)
Epoch: [42][4850/14090]	Time 0.761 (0.767)	Data 0.001 (0.002)	Loss 2.1281 (2.2011)	Prec@1 48.438 (44.512)	Prec@5 79.688 (75.243)
Epoch: [42][4860/14090]	Time 0.875 (0.767)	Data 0.001 (0.002)	Loss 2.0789 (2.2010)	Prec@1 50.000 (44.511)	Prec@5 77.344 (75.243)
Epoch: [42][4870/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 2.0349 (2.2010)	Prec@1 51.562 (44.515)	Prec@5 78.906 (75.243)
Epoch: [42][4880/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 2.4044 (2.2009)	Prec@1 42.969 (44.517)	Prec@5 68.750 (75.246)
Epoch: [42][4890/14090]	Time 0.771 (0.767)	Data 0.001 (0.002)	Loss 2.1905 (2.2008)	Prec@1 42.969 (44.516)	Prec@5 74.219 (75.246)
Epoch: [42][4900/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 2.6157 (2.2009)	Prec@1 34.375 (44.512)	Prec@5 67.969 (75.245)
Epoch: [42][4910/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 2.1294 (2.2009)	Prec@1 43.750 (44.512)	Prec@5 75.781 (75.241)
Epoch: [42][4920/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 2.4263 (2.2010)	Prec@1 39.062 (44.510)	Prec@5 70.312 (75.240)
Epoch: [42][4930/14090]	Time 0.850 (0.767)	Data 0.001 (0.002)	Loss 1.9510 (2.2010)	Prec@1 53.125 (44.513)	Prec@5 76.562 (75.241)
Epoch: [42][4940/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 2.4731 (2.2011)	Prec@1 42.188 (44.511)	Prec@5 71.094 (75.240)
Epoch: [42][4950/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.0569 (2.2011)	Prec@1 42.188 (44.509)	Prec@5 79.688 (75.240)
Epoch: [42][4960/14090]	Time 0.777 (0.767)	Data 0.001 (0.002)	Loss 2.2869 (2.2011)	Prec@1 47.656 (44.508)	Prec@5 71.875 (75.241)
Epoch: [42][4970/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 2.3156 (2.2011)	Prec@1 32.031 (44.501)	Prec@5 80.469 (75.244)
Epoch: [42][4980/14090]	Time 0.762 (0.767)	Data 0.001 (0.002)	Loss 2.1920 (2.2011)	Prec@1 42.188 (44.498)	Prec@5 78.125 (75.247)
Epoch: [42][4990/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 2.2534 (2.2009)	Prec@1 48.438 (44.505)	Prec@5 74.219 (75.246)
Epoch: [42][5000/14090]	Time 0.853 (0.767)	Data 0.001 (0.002)	Loss 2.2651 (2.2010)	Prec@1 41.406 (44.508)	Prec@5 74.219 (75.245)
Epoch: [42][5010/14090]	Time 0.784 (0.767)	Data 0.001 (0.002)	Loss 2.2944 (2.2010)	Prec@1 45.312 (44.506)	Prec@5 71.875 (75.245)
Epoch: [42][5020/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.3377 (2.2010)	Prec@1 40.625 (44.507)	Prec@5 75.000 (75.244)
Epoch: [42][5030/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.1797 (2.2011)	Prec@1 42.969 (44.503)	Prec@5 76.562 (75.243)
Epoch: [42][5040/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 2.2078 (2.2011)	Prec@1 43.750 (44.505)	Prec@5 75.781 (75.243)
Epoch: [42][5050/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 2.0400 (2.2011)	Prec@1 41.406 (44.506)	Prec@5 78.906 (75.242)
Epoch: [42][5060/14090]	Time 0.773 (0.767)	Data 0.001 (0.002)	Loss 2.3490 (2.2012)	Prec@1 41.406 (44.506)	Prec@5 74.219 (75.243)
Epoch: [42][5070/14090]	Time 0.861 (0.767)	Data 0.001 (0.002)	Loss 1.9313 (2.2012)	Prec@1 56.250 (44.506)	Prec@5 78.906 (75.242)
Epoch: [42][5080/14090]	Time 0.783 (0.767)	Data 0.001 (0.002)	Loss 2.0583 (2.2012)	Prec@1 46.875 (44.509)	Prec@5 74.219 (75.242)
Epoch: [42][5090/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 2.3558 (2.2012)	Prec@1 39.844 (44.506)	Prec@5 71.094 (75.241)
Epoch: [42][5100/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 2.4442 (2.2013)	Prec@1 35.938 (44.506)	Prec@5 71.875 (75.240)
Epoch: [42][5110/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 2.0073 (2.2013)	Prec@1 49.219 (44.506)	Prec@5 78.906 (75.241)
Epoch: [42][5120/14090]	Time 0.770 (0.767)	Data 0.001 (0.002)	Loss 2.1858 (2.2013)	Prec@1 44.531 (44.508)	Prec@5 73.438 (75.244)
Epoch: [42][5130/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 2.4391 (2.2011)	Prec@1 40.625 (44.508)	Prec@5 77.344 (75.250)
Epoch: [42][5140/14090]	Time 0.872 (0.767)	Data 0.001 (0.002)	Loss 2.1617 (2.2010)	Prec@1 42.188 (44.511)	Prec@5 77.344 (75.254)
Epoch: [42][5150/14090]	Time 0.761 (0.767)	Data 0.001 (0.002)	Loss 2.1040 (2.2009)	Prec@1 44.531 (44.512)	Prec@5 75.000 (75.255)
Epoch: [42][5160/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 2.3386 (2.2010)	Prec@1 45.312 (44.514)	Prec@5 74.219 (75.256)
Epoch: [42][5170/14090]	Time 0.776 (0.767)	Data 0.001 (0.002)	Loss 2.2393 (2.2010)	Prec@1 42.188 (44.514)	Prec@5 74.219 (75.259)
Epoch: [42][5180/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 2.3250 (2.2007)	Prec@1 42.188 (44.518)	Prec@5 71.875 (75.264)
Epoch: [42][5190/14090]	Time 0.764 (0.767)	Data 0.001 (0.002)	Loss 2.2159 (2.2007)	Prec@1 43.750 (44.518)	Prec@5 72.656 (75.262)
Epoch: [42][5200/14090]	Time 0.770 (0.767)	Data 0.001 (0.002)	Loss 2.0778 (2.2008)	Prec@1 46.094 (44.515)	Prec@5 76.562 (75.261)
Epoch: [42][5210/14090]	Time 0.873 (0.767)	Data 0.001 (0.002)	Loss 2.1889 (2.2007)	Prec@1 43.750 (44.516)	Prec@5 75.781 (75.261)
Epoch: [42][5220/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 1.9199 (2.2008)	Prec@1 52.344 (44.516)	Prec@5 82.031 (75.259)
Epoch: [42][5230/14090]	Time 0.778 (0.767)	Data 0.001 (0.002)	Loss 2.1926 (2.2008)	Prec@1 46.094 (44.518)	Prec@5 71.875 (75.258)
Epoch: [42][5240/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 2.4810 (2.2010)	Prec@1 40.625 (44.517)	Prec@5 70.312 (75.253)
Epoch: [42][5250/14090]	Time 0.727 (0.767)	Data 0.001 (0.002)	Loss 2.5319 (2.2012)	Prec@1 40.625 (44.517)	Prec@5 68.750 (75.250)
Epoch: [42][5260/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.2711 (2.2011)	Prec@1 42.188 (44.516)	Prec@5 76.562 (75.249)
Epoch: [42][5270/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 2.2123 (2.2012)	Prec@1 44.531 (44.516)	Prec@5 77.344 (75.251)
Epoch: [42][5280/14090]	Time 0.857 (0.767)	Data 0.001 (0.002)	Loss 1.7228 (2.2012)	Prec@1 53.906 (44.516)	Prec@5 82.031 (75.251)
Epoch: [42][5290/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 1.9620 (2.2012)	Prec@1 55.469 (44.519)	Prec@5 76.562 (75.250)
Epoch: [42][5300/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 2.0993 (2.2012)	Prec@1 46.875 (44.518)	Prec@5 76.562 (75.248)
Epoch: [42][5310/14090]	Time 0.777 (0.767)	Data 0.001 (0.002)	Loss 2.0898 (2.2011)	Prec@1 47.656 (44.520)	Prec@5 75.781 (75.251)
Epoch: [42][5320/14090]	Time 0.769 (0.767)	Data 0.001 (0.002)	Loss 2.2976 (2.2011)	Prec@1 44.531 (44.520)	Prec@5 72.656 (75.253)
Epoch: [42][5330/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.1183 (2.2011)	Prec@1 50.000 (44.520)	Prec@5 74.219 (75.252)
Epoch: [42][5340/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 2.1159 (2.2011)	Prec@1 45.312 (44.522)	Prec@5 73.438 (75.250)
Epoch: [42][5350/14090]	Time 0.827 (0.767)	Data 0.001 (0.002)	Loss 1.9692 (2.2010)	Prec@1 47.656 (44.521)	Prec@5 78.906 (75.250)
Epoch: [42][5360/14090]	Time 0.720 (0.767)	Data 0.001 (0.002)	Loss 2.1520 (2.2011)	Prec@1 44.531 (44.521)	Prec@5 75.000 (75.248)
Epoch: [42][5370/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 2.3544 (2.2011)	Prec@1 39.844 (44.519)	Prec@5 72.656 (75.246)
Epoch: [42][5380/14090]	Time 0.761 (0.767)	Data 0.001 (0.002)	Loss 1.9493 (2.2010)	Prec@1 51.562 (44.522)	Prec@5 82.812 (75.249)
Epoch: [42][5390/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 2.4441 (2.2012)	Prec@1 39.062 (44.517)	Prec@5 69.531 (75.245)
Epoch: [42][5400/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 2.5812 (2.2013)	Prec@1 37.500 (44.515)	Prec@5 65.625 (75.243)
Epoch: [42][5410/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 2.1176 (2.2014)	Prec@1 50.000 (44.514)	Prec@5 78.125 (75.242)
Epoch: [42][5420/14090]	Time 0.834 (0.767)	Data 0.001 (0.002)	Loss 2.3757 (2.2015)	Prec@1 42.188 (44.512)	Prec@5 75.000 (75.242)
Epoch: [42][5430/14090]	Time 0.726 (0.767)	Data 0.001 (0.002)	Loss 2.2538 (2.2016)	Prec@1 42.188 (44.512)	Prec@5 73.438 (75.239)
Epoch: [42][5440/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 2.1831 (2.2016)	Prec@1 40.625 (44.510)	Prec@5 75.000 (75.239)
Epoch: [42][5450/14090]	Time 0.764 (0.767)	Data 0.001 (0.002)	Loss 2.4639 (2.2017)	Prec@1 41.406 (44.506)	Prec@5 67.188 (75.238)
Epoch: [42][5460/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 2.3395 (2.2018)	Prec@1 42.188 (44.504)	Prec@5 75.781 (75.237)
Epoch: [42][5470/14090]	Time 0.765 (0.767)	Data 0.001 (0.002)	Loss 2.4024 (2.2019)	Prec@1 39.062 (44.504)	Prec@5 75.000 (75.235)
Epoch: [42][5480/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 2.1085 (2.2019)	Prec@1 44.531 (44.501)	Prec@5 75.000 (75.233)
Epoch: [42][5490/14090]	Time 0.851 (0.767)	Data 0.001 (0.002)	Loss 2.0274 (2.2018)	Prec@1 49.219 (44.503)	Prec@5 78.125 (75.236)
Epoch: [42][5500/14090]	Time 0.768 (0.767)	Data 0.001 (0.002)	Loss 2.0023 (2.2017)	Prec@1 49.219 (44.504)	Prec@5 81.250 (75.238)
Epoch: [42][5510/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 2.3426 (2.2017)	Prec@1 39.844 (44.498)	Prec@5 73.438 (75.240)
Epoch: [42][5520/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 2.1023 (2.2019)	Prec@1 50.000 (44.496)	Prec@5 73.438 (75.238)
Epoch: [42][5530/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 2.6154 (2.2020)	Prec@1 39.844 (44.496)	Prec@5 61.719 (75.234)
Epoch: [42][5540/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 2.0074 (2.2020)	Prec@1 45.312 (44.495)	Prec@5 78.125 (75.235)
Epoch: [42][5550/14090]	Time 0.765 (0.767)	Data 0.001 (0.002)	Loss 2.0512 (2.2020)	Prec@1 48.438 (44.494)	Prec@5 79.688 (75.234)
Epoch: [42][5560/14090]	Time 0.886 (0.767)	Data 0.001 (0.002)	Loss 2.7716 (2.2022)	Prec@1 32.031 (44.493)	Prec@5 63.281 (75.229)
Epoch: [42][5570/14090]	Time 0.781 (0.767)	Data 0.001 (0.002)	Loss 2.0132 (2.2021)	Prec@1 50.000 (44.494)	Prec@5 81.250 (75.231)
Epoch: [42][5580/14090]	Time 0.773 (0.767)	Data 0.001 (0.002)	Loss 2.0316 (2.2021)	Prec@1 50.000 (44.493)	Prec@5 80.469 (75.230)
Epoch: [42][5590/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 2.1707 (2.2021)	Prec@1 46.875 (44.494)	Prec@5 78.125 (75.229)
Epoch: [42][5600/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 2.4160 (2.2021)	Prec@1 42.188 (44.496)	Prec@5 68.750 (75.230)
Epoch: [42][5610/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 1.9499 (2.2022)	Prec@1 48.438 (44.492)	Prec@5 78.906 (75.229)
Epoch: [42][5620/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 2.0405 (2.2023)	Prec@1 49.219 (44.490)	Prec@5 73.438 (75.228)
Epoch: [42][5630/14090]	Time 0.844 (0.767)	Data 0.001 (0.002)	Loss 2.3554 (2.2024)	Prec@1 43.750 (44.487)	Prec@5 74.219 (75.225)
Epoch: [42][5640/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 2.2202 (2.2026)	Prec@1 40.625 (44.483)	Prec@5 76.562 (75.221)
Epoch: [42][5650/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 2.0715 (2.2025)	Prec@1 48.438 (44.484)	Prec@5 75.781 (75.223)
Epoch: [42][5660/14090]	Time 0.764 (0.767)	Data 0.001 (0.002)	Loss 2.3351 (2.2024)	Prec@1 50.781 (44.487)	Prec@5 76.562 (75.225)
Epoch: [42][5670/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.1133 (2.2023)	Prec@1 45.312 (44.489)	Prec@5 78.125 (75.228)
Epoch: [42][5680/14090]	Time 0.760 (0.767)	Data 0.001 (0.002)	Loss 2.4755 (2.2021)	Prec@1 42.188 (44.492)	Prec@5 71.094 (75.232)
Epoch: [42][5690/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 2.1434 (2.2022)	Prec@1 51.562 (44.492)	Prec@5 72.656 (75.231)
Epoch: [42][5700/14090]	Time 0.879 (0.767)	Data 0.001 (0.002)	Loss 2.0698 (2.2022)	Prec@1 43.750 (44.494)	Prec@5 81.250 (75.230)
Epoch: [42][5710/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 2.3805 (2.2023)	Prec@1 44.531 (44.494)	Prec@5 71.094 (75.229)
Epoch: [42][5720/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 2.2621 (2.2022)	Prec@1 42.188 (44.495)	Prec@5 70.312 (75.228)
Epoch: [42][5730/14090]	Time 0.773 (0.767)	Data 0.001 (0.002)	Loss 2.2731 (2.2022)	Prec@1 44.531 (44.494)	Prec@5 71.875 (75.227)
Epoch: [42][5740/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 2.3201 (2.2023)	Prec@1 43.750 (44.494)	Prec@5 75.781 (75.226)
Epoch: [42][5750/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.0509 (2.2024)	Prec@1 44.531 (44.492)	Prec@5 79.688 (75.225)
Epoch: [42][5760/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 2.0945 (2.2025)	Prec@1 47.656 (44.492)	Prec@5 78.906 (75.224)
Epoch: [42][5770/14090]	Time 0.886 (0.767)	Data 0.001 (0.002)	Loss 2.3135 (2.2024)	Prec@1 47.656 (44.495)	Prec@5 68.750 (75.222)
Epoch: [42][5780/14090]	Time 0.775 (0.767)	Data 0.001 (0.002)	Loss 2.2326 (2.2026)	Prec@1 39.062 (44.489)	Prec@5 73.438 (75.220)
Epoch: [42][5790/14090]	Time 0.762 (0.767)	Data 0.001 (0.002)	Loss 2.6725 (2.2026)	Prec@1 39.844 (44.490)	Prec@5 66.406 (75.219)
Epoch: [42][5800/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 2.1132 (2.2025)	Prec@1 46.875 (44.491)	Prec@5 79.688 (75.220)
Epoch: [42][5810/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.4917 (2.2025)	Prec@1 35.156 (44.491)	Prec@5 70.312 (75.221)
Epoch: [42][5820/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 2.3222 (2.2027)	Prec@1 44.531 (44.487)	Prec@5 74.219 (75.219)
Epoch: [42][5830/14090]	Time 0.764 (0.767)	Data 0.001 (0.002)	Loss 2.0367 (2.2025)	Prec@1 49.219 (44.492)	Prec@5 75.781 (75.221)
Epoch: [42][5840/14090]	Time 0.865 (0.767)	Data 0.001 (0.002)	Loss 2.1562 (2.2026)	Prec@1 46.094 (44.490)	Prec@5 75.000 (75.220)
Epoch: [42][5850/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 2.4768 (2.2026)	Prec@1 38.281 (44.487)	Prec@5 71.094 (75.221)
Epoch: [42][5860/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 2.3779 (2.2028)	Prec@1 39.062 (44.484)	Prec@5 68.750 (75.217)
Epoch: [42][5870/14090]	Time 0.760 (0.767)	Data 0.001 (0.002)	Loss 2.4997 (2.2030)	Prec@1 39.062 (44.481)	Prec@5 70.312 (75.214)
Epoch: [42][5880/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 2.1768 (2.2030)	Prec@1 47.656 (44.482)	Prec@5 75.000 (75.212)
Epoch: [42][5890/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 2.2587 (2.2030)	Prec@1 46.094 (44.484)	Prec@5 73.438 (75.210)
Epoch: [42][5900/14090]	Time 0.764 (0.767)	Data 0.001 (0.002)	Loss 2.3257 (2.2030)	Prec@1 40.625 (44.485)	Prec@5 68.750 (75.210)
Epoch: [42][5910/14090]	Time 0.828 (0.767)	Data 0.001 (0.002)	Loss 2.1877 (2.2029)	Prec@1 44.531 (44.485)	Prec@5 73.438 (75.210)
Epoch: [42][5920/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 2.3392 (2.2029)	Prec@1 39.844 (44.484)	Prec@5 71.094 (75.210)
Epoch: [42][5930/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 2.2707 (2.2028)	Prec@1 43.750 (44.487)	Prec@5 67.188 (75.212)
Epoch: [42][5940/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 1.9846 (2.2027)	Prec@1 47.656 (44.490)	Prec@5 78.125 (75.213)
Epoch: [42][5950/14090]	Time 0.765 (0.767)	Data 0.001 (0.002)	Loss 2.3248 (2.2028)	Prec@1 37.500 (44.489)	Prec@5 72.656 (75.214)
Epoch: [42][5960/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 2.0948 (2.2027)	Prec@1 45.312 (44.491)	Prec@5 80.469 (75.217)
Epoch: [42][5970/14090]	Time 0.761 (0.767)	Data 0.001 (0.002)	Loss 2.0491 (2.2027)	Prec@1 47.656 (44.490)	Prec@5 78.906 (75.216)
Epoch: [42][5980/14090]	Time 0.857 (0.767)	Data 0.001 (0.002)	Loss 2.3460 (2.2028)	Prec@1 42.969 (44.489)	Prec@5 70.312 (75.214)
Epoch: [42][5990/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 2.3113 (2.2029)	Prec@1 43.750 (44.489)	Prec@5 72.656 (75.212)
Epoch: [42][6000/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 2.0534 (2.2030)	Prec@1 50.000 (44.489)	Prec@5 78.125 (75.211)
Epoch: [42][6010/14090]	Time 0.776 (0.767)	Data 0.001 (0.002)	Loss 2.2569 (2.2030)	Prec@1 40.625 (44.490)	Prec@5 76.562 (75.213)
Epoch: [42][6020/14090]	Time 0.764 (0.767)	Data 0.001 (0.002)	Loss 2.2436 (2.2031)	Prec@1 46.094 (44.487)	Prec@5 72.656 (75.212)
Epoch: [42][6030/14090]	Time 0.767 (0.767)	Data 0.001 (0.002)	Loss 2.1830 (2.2032)	Prec@1 45.312 (44.484)	Prec@5 79.688 (75.210)
Epoch: [42][6040/14090]	Time 0.768 (0.767)	Data 0.001 (0.002)	Loss 2.2040 (2.2033)	Prec@1 46.094 (44.487)	Prec@5 72.656 (75.206)
Epoch: [42][6050/14090]	Time 0.884 (0.767)	Data 0.001 (0.002)	Loss 2.3883 (2.2034)	Prec@1 39.062 (44.483)	Prec@5 71.094 (75.205)
Epoch: [42][6060/14090]	Time 0.757 (0.767)	Data 0.001 (0.002)	Loss 2.1145 (2.2033)	Prec@1 48.438 (44.484)	Prec@5 77.344 (75.208)
Epoch: [42][6070/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 2.1707 (2.2034)	Prec@1 42.969 (44.481)	Prec@5 75.000 (75.208)
Epoch: [42][6080/14090]	Time 0.765 (0.767)	Data 0.001 (0.002)	Loss 2.0698 (2.2034)	Prec@1 46.094 (44.482)	Prec@5 76.562 (75.207)
Epoch: [42][6090/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 2.0659 (2.2035)	Prec@1 46.094 (44.481)	Prec@5 76.562 (75.207)
Epoch: [42][6100/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.2067 (2.2034)	Prec@1 49.219 (44.482)	Prec@5 77.344 (75.208)
Epoch: [42][6110/14090]	Time 0.780 (0.767)	Data 0.001 (0.002)	Loss 2.5003 (2.2033)	Prec@1 41.406 (44.482)	Prec@5 67.969 (75.209)
Epoch: [42][6120/14090]	Time 0.890 (0.767)	Data 0.001 (0.002)	Loss 2.2918 (2.2034)	Prec@1 46.875 (44.482)	Prec@5 77.344 (75.208)
Epoch: [42][6130/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 2.1141 (2.2034)	Prec@1 45.312 (44.483)	Prec@5 78.906 (75.208)
Epoch: [42][6140/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 2.2540 (2.2034)	Prec@1 42.188 (44.481)	Prec@5 72.656 (75.207)
Epoch: [42][6150/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.1286 (2.2032)	Prec@1 42.188 (44.487)	Prec@5 79.688 (75.211)
Epoch: [42][6160/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 2.1059 (2.2030)	Prec@1 41.406 (44.490)	Prec@5 79.688 (75.214)
Epoch: [42][6170/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 2.0078 (2.2031)	Prec@1 50.781 (44.489)	Prec@5 76.562 (75.213)
Epoch: [42][6180/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 1.9598 (2.2031)	Prec@1 50.000 (44.488)	Prec@5 79.688 (75.210)
Epoch: [42][6190/14090]	Time 0.856 (0.767)	Data 0.001 (0.002)	Loss 2.3129 (2.2031)	Prec@1 45.312 (44.489)	Prec@5 70.312 (75.210)
Epoch: [42][6200/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 2.0983 (2.2031)	Prec@1 51.562 (44.490)	Prec@5 76.562 (75.208)
Epoch: [42][6210/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 2.3304 (2.2031)	Prec@1 46.094 (44.489)	Prec@5 71.094 (75.206)
Epoch: [42][6220/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 2.2069 (2.2030)	Prec@1 48.438 (44.493)	Prec@5 75.781 (75.211)
Epoch: [42][6230/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 2.5015 (2.2031)	Prec@1 35.938 (44.490)	Prec@5 71.875 (75.208)
Epoch: [42][6240/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.1380 (2.2031)	Prec@1 46.094 (44.488)	Prec@5 73.438 (75.206)
Epoch: [42][6250/14090]	Time 0.777 (0.767)	Data 0.001 (0.002)	Loss 2.2908 (2.2032)	Prec@1 37.500 (44.485)	Prec@5 77.344 (75.206)
Epoch: [42][6260/14090]	Time 0.866 (0.767)	Data 0.001 (0.002)	Loss 2.4751 (2.2032)	Prec@1 42.969 (44.484)	Prec@5 75.000 (75.208)
Epoch: [42][6270/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 2.2726 (2.2031)	Prec@1 40.625 (44.485)	Prec@5 75.000 (75.209)
Epoch: [42][6280/14090]	Time 0.774 (0.767)	Data 0.001 (0.002)	Loss 1.9917 (2.2032)	Prec@1 51.562 (44.481)	Prec@5 79.688 (75.206)
Epoch: [42][6290/14090]	Time 0.775 (0.767)	Data 0.001 (0.002)	Loss 2.2244 (2.2033)	Prec@1 45.312 (44.480)	Prec@5 77.344 (75.204)
Epoch: [42][6300/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 2.0301 (2.2033)	Prec@1 48.438 (44.481)	Prec@5 82.031 (75.206)
Epoch: [42][6310/14090]	Time 0.761 (0.767)	Data 0.001 (0.002)	Loss 2.1641 (2.2032)	Prec@1 42.188 (44.481)	Prec@5 71.875 (75.208)
Epoch: [42][6320/14090]	Time 0.728 (0.767)	Data 0.001 (0.002)	Loss 2.3794 (2.2032)	Prec@1 37.500 (44.481)	Prec@5 74.219 (75.208)
Epoch: [42][6330/14090]	Time 0.840 (0.767)	Data 0.001 (0.002)	Loss 2.1908 (2.2033)	Prec@1 44.531 (44.479)	Prec@5 75.781 (75.207)
Epoch: [42][6340/14090]	Time 0.728 (0.767)	Data 0.001 (0.002)	Loss 2.3445 (2.2032)	Prec@1 44.531 (44.479)	Prec@5 71.094 (75.208)
Epoch: [42][6350/14090]	Time 0.728 (0.767)	Data 0.001 (0.002)	Loss 2.1134 (2.2033)	Prec@1 43.750 (44.475)	Prec@5 82.812 (75.208)
Epoch: [42][6360/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 2.2593 (2.2034)	Prec@1 43.750 (44.472)	Prec@5 74.219 (75.207)
Epoch: [42][6370/14090]	Time 0.722 (0.767)	Data 0.001 (0.002)	Loss 2.3205 (2.2033)	Prec@1 43.750 (44.473)	Prec@5 71.875 (75.208)
Epoch: [42][6380/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 2.6617 (2.2033)	Prec@1 41.406 (44.474)	Prec@5 64.844 (75.209)
Epoch: [42][6390/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.4182 (2.2033)	Prec@1 39.062 (44.472)	Prec@5 72.656 (75.208)
Epoch: [42][6400/14090]	Time 0.862 (0.767)	Data 0.001 (0.002)	Loss 2.4636 (2.2034)	Prec@1 35.156 (44.468)	Prec@5 69.531 (75.207)
Epoch: [42][6410/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 2.3271 (2.2035)	Prec@1 45.312 (44.467)	Prec@5 72.656 (75.206)
Epoch: [42][6420/14090]	Time 0.769 (0.766)	Data 0.001 (0.002)	Loss 2.4347 (2.2035)	Prec@1 40.625 (44.468)	Prec@5 71.875 (75.205)
Epoch: [42][6430/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 2.1597 (2.2035)	Prec@1 44.531 (44.468)	Prec@5 75.000 (75.203)
Epoch: [42][6440/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.2433 (2.2035)	Prec@1 42.188 (44.468)	Prec@5 74.219 (75.202)
Epoch: [42][6450/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.1570 (2.2034)	Prec@1 46.094 (44.471)	Prec@5 78.125 (75.204)
Epoch: [42][6460/14090]	Time 0.728 (0.766)	Data 0.001 (0.002)	Loss 1.9829 (2.2032)	Prec@1 47.656 (44.475)	Prec@5 77.344 (75.206)
Epoch: [42][6470/14090]	Time 0.867 (0.766)	Data 0.001 (0.002)	Loss 2.1966 (2.2033)	Prec@1 44.531 (44.473)	Prec@5 73.438 (75.206)
Epoch: [42][6480/14090]	Time 0.768 (0.766)	Data 0.001 (0.002)	Loss 2.1868 (2.2032)	Prec@1 45.312 (44.476)	Prec@5 77.344 (75.208)
Epoch: [42][6490/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 2.1442 (2.2032)	Prec@1 50.000 (44.482)	Prec@5 75.781 (75.210)
Epoch: [42][6500/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 2.1225 (2.2031)	Prec@1 46.094 (44.485)	Prec@5 78.906 (75.212)
Epoch: [42][6510/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 2.1438 (2.2031)	Prec@1 39.844 (44.485)	Prec@5 79.688 (75.212)
Epoch: [42][6520/14090]	Time 0.725 (0.766)	Data 0.001 (0.002)	Loss 2.1079 (2.2030)	Prec@1 45.312 (44.487)	Prec@5 75.000 (75.211)
Epoch: [42][6530/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 1.9875 (2.2031)	Prec@1 49.219 (44.484)	Prec@5 83.594 (75.212)
Epoch: [42][6540/14090]	Time 0.863 (0.766)	Data 0.001 (0.002)	Loss 2.0106 (2.2031)	Prec@1 48.438 (44.486)	Prec@5 80.469 (75.212)
Epoch: [42][6550/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.1339 (2.2031)	Prec@1 46.875 (44.487)	Prec@5 74.219 (75.212)
Epoch: [42][6560/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 2.2704 (2.2031)	Prec@1 46.875 (44.487)	Prec@5 69.531 (75.212)
Epoch: [42][6570/14090]	Time 0.725 (0.766)	Data 0.001 (0.002)	Loss 2.0018 (2.2030)	Prec@1 46.094 (44.487)	Prec@5 82.031 (75.212)
Epoch: [42][6580/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 1.9660 (2.2029)	Prec@1 50.000 (44.489)	Prec@5 75.781 (75.214)
Epoch: [42][6590/14090]	Time 0.765 (0.766)	Data 0.001 (0.002)	Loss 2.1823 (2.2028)	Prec@1 41.406 (44.488)	Prec@5 76.562 (75.217)
Epoch: [42][6600/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 1.8868 (2.2026)	Prec@1 53.906 (44.490)	Prec@5 75.000 (75.219)
Epoch: [42][6610/14090]	Time 0.844 (0.766)	Data 0.001 (0.002)	Loss 2.2455 (2.2027)	Prec@1 40.625 (44.488)	Prec@5 73.438 (75.215)
Epoch: [42][6620/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.1779 (2.2028)	Prec@1 46.094 (44.489)	Prec@5 77.344 (75.215)
Epoch: [42][6630/14090]	Time 0.768 (0.766)	Data 0.001 (0.002)	Loss 1.8663 (2.2028)	Prec@1 50.000 (44.487)	Prec@5 78.125 (75.214)
Epoch: [42][6640/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 2.2656 (2.2029)	Prec@1 39.844 (44.484)	Prec@5 73.438 (75.212)
Epoch: [42][6650/14090]	Time 0.721 (0.766)	Data 0.001 (0.002)	Loss 2.2297 (2.2029)	Prec@1 42.188 (44.483)	Prec@5 75.000 (75.213)
Epoch: [42][6660/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.2653 (2.2029)	Prec@1 42.969 (44.483)	Prec@5 74.219 (75.213)
Epoch: [42][6670/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 2.3573 (2.2028)	Prec@1 40.625 (44.483)	Prec@5 70.312 (75.214)
Epoch: [42][6680/14090]	Time 0.879 (0.766)	Data 0.001 (0.002)	Loss 2.4885 (2.2029)	Prec@1 37.500 (44.483)	Prec@5 71.094 (75.213)
Epoch: [42][6690/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 2.2256 (2.2029)	Prec@1 50.000 (44.483)	Prec@5 75.000 (75.213)
Epoch: [42][6700/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 2.4377 (2.2029)	Prec@1 35.938 (44.482)	Prec@5 72.656 (75.212)
Epoch: [42][6710/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.4924 (2.2030)	Prec@1 39.844 (44.480)	Prec@5 67.969 (75.212)
Epoch: [42][6720/14090]	Time 0.728 (0.766)	Data 0.001 (0.002)	Loss 2.0500 (2.2032)	Prec@1 46.094 (44.475)	Prec@5 79.688 (75.207)
Epoch: [42][6730/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 2.2110 (2.2032)	Prec@1 43.750 (44.474)	Prec@5 74.219 (75.204)
Epoch: [42][6740/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 2.4109 (2.2032)	Prec@1 40.625 (44.476)	Prec@5 74.219 (75.207)
Epoch: [42][6750/14090]	Time 0.869 (0.766)	Data 0.001 (0.002)	Loss 2.1398 (2.2032)	Prec@1 52.344 (44.478)	Prec@5 76.562 (75.207)
Epoch: [42][6760/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 2.0713 (2.2032)	Prec@1 49.219 (44.480)	Prec@5 81.250 (75.208)
Epoch: [42][6770/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 1.9592 (2.2031)	Prec@1 50.000 (44.481)	Prec@5 77.344 (75.209)
Epoch: [42][6780/14090]	Time 0.768 (0.766)	Data 0.001 (0.002)	Loss 1.9114 (2.2031)	Prec@1 50.781 (44.484)	Prec@5 82.031 (75.209)
Epoch: [42][6790/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.2558 (2.2031)	Prec@1 42.969 (44.485)	Prec@5 74.219 (75.208)
Epoch: [42][6800/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 2.0482 (2.2031)	Prec@1 45.312 (44.484)	Prec@5 75.000 (75.209)
Epoch: [42][6810/14090]	Time 0.783 (0.766)	Data 0.001 (0.002)	Loss 2.2869 (2.2030)	Prec@1 48.438 (44.486)	Prec@5 69.531 (75.209)
Epoch: [42][6820/14090]	Time 0.854 (0.766)	Data 0.001 (0.002)	Loss 2.3944 (2.2029)	Prec@1 47.656 (44.489)	Prec@5 74.219 (75.211)
Epoch: [42][6830/14090]	Time 0.784 (0.766)	Data 0.001 (0.002)	Loss 2.4971 (2.2030)	Prec@1 35.938 (44.488)	Prec@5 66.406 (75.208)
Epoch: [42][6840/14090]	Time 0.772 (0.766)	Data 0.001 (0.002)	Loss 2.1707 (2.2031)	Prec@1 44.531 (44.486)	Prec@5 75.781 (75.208)
Epoch: [42][6850/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.1019 (2.2031)	Prec@1 39.062 (44.486)	Prec@5 78.125 (75.207)
Epoch: [42][6860/14090]	Time 0.764 (0.766)	Data 0.001 (0.002)	Loss 2.3277 (2.2030)	Prec@1 41.406 (44.488)	Prec@5 71.094 (75.208)
Epoch: [42][6870/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 2.2360 (2.2032)	Prec@1 41.406 (44.485)	Prec@5 77.344 (75.207)
Epoch: [42][6880/14090]	Time 0.726 (0.766)	Data 0.001 (0.002)	Loss 1.9575 (2.2033)	Prec@1 50.000 (44.484)	Prec@5 80.469 (75.204)
Epoch: [42][6890/14090]	Time 0.864 (0.766)	Data 0.001 (0.002)	Loss 2.2592 (2.2034)	Prec@1 43.750 (44.482)	Prec@5 75.781 (75.204)
Epoch: [42][6900/14090]	Time 0.727 (0.766)	Data 0.001 (0.002)	Loss 2.2315 (2.2035)	Prec@1 46.094 (44.484)	Prec@5 71.875 (75.204)
Epoch: [42][6910/14090]	Time 0.773 (0.766)	Data 0.001 (0.002)	Loss 2.0910 (2.2035)	Prec@1 47.656 (44.481)	Prec@5 72.656 (75.203)
Epoch: [42][6920/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 2.0906 (2.2036)	Prec@1 45.312 (44.480)	Prec@5 75.000 (75.203)
Epoch: [42][6930/14090]	Time 0.781 (0.766)	Data 0.001 (0.002)	Loss 2.1509 (2.2035)	Prec@1 45.312 (44.483)	Prec@5 76.562 (75.204)
Epoch: [42][6940/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 2.2282 (2.2035)	Prec@1 42.969 (44.482)	Prec@5 74.219 (75.204)
Epoch: [42][6950/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 2.2163 (2.2035)	Prec@1 50.000 (44.482)	Prec@5 77.344 (75.205)
Epoch: [42][6960/14090]	Time 0.890 (0.766)	Data 0.001 (0.002)	Loss 2.2310 (2.2037)	Prec@1 52.344 (44.481)	Prec@5 75.000 (75.202)
Epoch: [42][6970/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 2.2273 (2.2037)	Prec@1 49.219 (44.483)	Prec@5 75.781 (75.200)
Epoch: [42][6980/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.2520 (2.2037)	Prec@1 41.406 (44.485)	Prec@5 73.438 (75.200)
Epoch: [42][6990/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.0319 (2.2036)	Prec@1 46.875 (44.488)	Prec@5 78.906 (75.201)
Epoch: [42][7000/14090]	Time 0.723 (0.766)	Data 0.001 (0.002)	Loss 2.1958 (2.2037)	Prec@1 42.969 (44.486)	Prec@5 78.125 (75.199)
Epoch: [42][7010/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.1063 (2.2037)	Prec@1 47.656 (44.488)	Prec@5 75.781 (75.200)
Epoch: [42][7020/14090]	Time 0.764 (0.766)	Data 0.001 (0.002)	Loss 2.0413 (2.2038)	Prec@1 45.312 (44.488)	Prec@5 77.344 (75.199)
Epoch: [42][7030/14090]	Time 0.871 (0.766)	Data 0.001 (0.002)	Loss 2.1305 (2.2039)	Prec@1 39.062 (44.487)	Prec@5 71.875 (75.194)
Epoch: [42][7040/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 2.1372 (2.2040)	Prec@1 51.562 (44.486)	Prec@5 75.000 (75.194)
Epoch: [42][7050/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 2.1227 (2.2040)	Prec@1 47.656 (44.487)	Prec@5 76.562 (75.192)
Epoch: [42][7060/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 2.0854 (2.2041)	Prec@1 43.750 (44.486)	Prec@5 78.125 (75.190)
Epoch: [42][7070/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 2.1881 (2.2041)	Prec@1 46.875 (44.487)	Prec@5 74.219 (75.190)
Epoch: [42][7080/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.3836 (2.2042)	Prec@1 37.500 (44.485)	Prec@5 75.781 (75.188)
Epoch: [42][7090/14090]	Time 0.781 (0.766)	Data 0.001 (0.002)	Loss 1.9527 (2.2041)	Prec@1 48.438 (44.488)	Prec@5 81.250 (75.190)
Epoch: [42][7100/14090]	Time 0.878 (0.766)	Data 0.001 (0.002)	Loss 2.1439 (2.2042)	Prec@1 44.531 (44.487)	Prec@5 80.469 (75.189)
Epoch: [42][7110/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 2.0210 (2.2043)	Prec@1 48.438 (44.483)	Prec@5 78.906 (75.189)
Epoch: [42][7120/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.3652 (2.2043)	Prec@1 37.500 (44.482)	Prec@5 71.875 (75.189)
Epoch: [42][7130/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 2.0282 (2.2044)	Prec@1 38.281 (44.480)	Prec@5 78.906 (75.188)
Epoch: [42][7140/14090]	Time 0.774 (0.766)	Data 0.001 (0.002)	Loss 1.9487 (2.2042)	Prec@1 50.781 (44.483)	Prec@5 79.688 (75.190)
Epoch: [42][7150/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 1.8681 (2.2041)	Prec@1 48.438 (44.485)	Prec@5 79.688 (75.191)
Epoch: [42][7160/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.1315 (2.2041)	Prec@1 41.406 (44.481)	Prec@5 81.250 (75.192)
Epoch: [42][7170/14090]	Time 0.865 (0.766)	Data 0.001 (0.002)	Loss 2.2362 (2.2041)	Prec@1 44.531 (44.484)	Prec@5 72.656 (75.192)
Epoch: [42][7180/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 2.3203 (2.2040)	Prec@1 39.844 (44.484)	Prec@5 74.219 (75.192)
Epoch: [42][7190/14090]	Time 0.789 (0.766)	Data 0.001 (0.002)	Loss 2.3189 (2.2039)	Prec@1 37.500 (44.485)	Prec@5 73.438 (75.196)
Epoch: [42][7200/14090]	Time 0.770 (0.766)	Data 0.001 (0.002)	Loss 2.0731 (2.2038)	Prec@1 47.656 (44.487)	Prec@5 78.125 (75.198)
Epoch: [42][7210/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 1.9079 (2.2038)	Prec@1 52.344 (44.489)	Prec@5 77.344 (75.197)
Epoch: [42][7220/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.2642 (2.2039)	Prec@1 41.406 (44.487)	Prec@5 71.875 (75.195)
Epoch: [42][7230/14090]	Time 0.768 (0.766)	Data 0.001 (0.001)	Loss 2.3245 (2.2039)	Prec@1 41.406 (44.487)	Prec@5 76.562 (75.195)
Epoch: [42][7240/14090]	Time 0.885 (0.766)	Data 0.001 (0.001)	Loss 2.1766 (2.2038)	Prec@1 46.875 (44.492)	Prec@5 76.562 (75.197)
Epoch: [42][7250/14090]	Time 0.772 (0.766)	Data 0.001 (0.001)	Loss 2.2262 (2.2038)	Prec@1 41.406 (44.493)	Prec@5 73.438 (75.198)
Epoch: [42][7260/14090]	Time 0.765 (0.766)	Data 0.001 (0.001)	Loss 2.1002 (2.2037)	Prec@1 42.969 (44.493)	Prec@5 78.125 (75.200)
Epoch: [42][7270/14090]	Time 0.793 (0.766)	Data 0.001 (0.001)	Loss 2.3181 (2.2038)	Prec@1 39.844 (44.490)	Prec@5 74.219 (75.201)
Epoch: [42][7280/14090]	Time 0.765 (0.766)	Data 0.001 (0.001)	Loss 2.2675 (2.2039)	Prec@1 46.094 (44.489)	Prec@5 75.000 (75.200)
Epoch: [42][7290/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 1.9843 (2.2039)	Prec@1 53.125 (44.487)	Prec@5 79.688 (75.198)
Epoch: [42][7300/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.7823 (2.2040)	Prec@1 31.250 (44.486)	Prec@5 64.844 (75.197)
Epoch: [42][7310/14090]	Time 0.921 (0.766)	Data 0.001 (0.001)	Loss 2.2423 (2.2041)	Prec@1 46.094 (44.486)	Prec@5 78.125 (75.196)
Epoch: [42][7320/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.1021 (2.2042)	Prec@1 44.531 (44.485)	Prec@5 71.875 (75.193)
Epoch: [42][7330/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.3243 (2.2043)	Prec@1 38.281 (44.484)	Prec@5 72.656 (75.190)
Epoch: [42][7340/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.1611 (2.2043)	Prec@1 42.969 (44.483)	Prec@5 71.875 (75.189)
Epoch: [42][7350/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.4085 (2.2043)	Prec@1 42.188 (44.485)	Prec@5 71.094 (75.189)
Epoch: [42][7360/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.2531 (2.2042)	Prec@1 38.281 (44.486)	Prec@5 75.781 (75.191)
Epoch: [42][7370/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.2914 (2.2042)	Prec@1 35.156 (44.485)	Prec@5 73.438 (75.193)
Epoch: [42][7380/14090]	Time 0.903 (0.766)	Data 0.001 (0.001)	Loss 2.1321 (2.2042)	Prec@1 46.094 (44.487)	Prec@5 79.688 (75.194)
Epoch: [42][7390/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 2.2053 (2.2042)	Prec@1 50.000 (44.486)	Prec@5 77.344 (75.192)
Epoch: [42][7400/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.2502 (2.2043)	Prec@1 48.438 (44.486)	Prec@5 75.781 (75.193)
Epoch: [42][7410/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.0389 (2.2042)	Prec@1 51.562 (44.489)	Prec@5 76.562 (75.194)
Epoch: [42][7420/14090]	Time 0.780 (0.766)	Data 0.001 (0.001)	Loss 2.3294 (2.2042)	Prec@1 46.094 (44.488)	Prec@5 69.531 (75.193)
Epoch: [42][7430/14090]	Time 0.767 (0.766)	Data 0.001 (0.001)	Loss 2.2477 (2.2042)	Prec@1 43.750 (44.489)	Prec@5 73.438 (75.191)
Epoch: [42][7440/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.0420 (2.2042)	Prec@1 49.219 (44.488)	Prec@5 78.906 (75.191)
Epoch: [42][7450/14090]	Time 0.900 (0.766)	Data 0.001 (0.001)	Loss 2.5771 (2.2043)	Prec@1 34.375 (44.486)	Prec@5 64.062 (75.188)
Epoch: [42][7460/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 1.9304 (2.2042)	Prec@1 48.438 (44.487)	Prec@5 81.250 (75.192)
Epoch: [42][7470/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.1169 (2.2043)	Prec@1 39.844 (44.485)	Prec@5 77.344 (75.191)
Epoch: [42][7480/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.0701 (2.2043)	Prec@1 50.781 (44.487)	Prec@5 75.781 (75.190)
Epoch: [42][7490/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.5494 (2.2043)	Prec@1 37.500 (44.489)	Prec@5 72.656 (75.194)
Epoch: [42][7500/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.1629 (2.2043)	Prec@1 47.656 (44.489)	Prec@5 72.656 (75.192)
Epoch: [42][7510/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.2987 (2.2044)	Prec@1 45.312 (44.489)	Prec@5 78.125 (75.192)
Epoch: [42][7520/14090]	Time 0.869 (0.766)	Data 0.001 (0.001)	Loss 2.0417 (2.2043)	Prec@1 43.750 (44.489)	Prec@5 77.344 (75.193)
Epoch: [42][7530/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.5306 (2.2043)	Prec@1 42.188 (44.490)	Prec@5 73.438 (75.193)
Epoch: [42][7540/14090]	Time 0.768 (0.766)	Data 0.001 (0.001)	Loss 2.2077 (2.2043)	Prec@1 48.438 (44.490)	Prec@5 75.000 (75.192)
Epoch: [42][7550/14090]	Time 0.775 (0.766)	Data 0.001 (0.001)	Loss 2.2932 (2.2043)	Prec@1 40.625 (44.489)	Prec@5 72.656 (75.194)
Epoch: [42][7560/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.5139 (2.2043)	Prec@1 40.625 (44.489)	Prec@5 71.875 (75.192)
Epoch: [42][7570/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 2.1686 (2.2044)	Prec@1 47.656 (44.487)	Prec@5 75.781 (75.189)
Epoch: [42][7580/14090]	Time 0.775 (0.766)	Data 0.001 (0.001)	Loss 2.0543 (2.2044)	Prec@1 46.875 (44.487)	Prec@5 77.344 (75.189)
Epoch: [42][7590/14090]	Time 0.866 (0.766)	Data 0.001 (0.001)	Loss 2.2526 (2.2044)	Prec@1 43.750 (44.489)	Prec@5 71.094 (75.187)
Epoch: [42][7600/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 1.9975 (2.2044)	Prec@1 50.000 (44.490)	Prec@5 78.906 (75.189)
Epoch: [42][7610/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 2.2749 (2.2045)	Prec@1 42.969 (44.487)	Prec@5 76.562 (75.189)
Epoch: [42][7620/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.1693 (2.2045)	Prec@1 49.219 (44.488)	Prec@5 75.781 (75.189)
Epoch: [42][7630/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.0486 (2.2044)	Prec@1 48.438 (44.491)	Prec@5 72.656 (75.191)
Epoch: [42][7640/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 1.9019 (2.2044)	Prec@1 53.906 (44.490)	Prec@5 78.906 (75.190)
Epoch: [42][7650/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 1.8818 (2.2045)	Prec@1 57.812 (44.486)	Prec@5 78.125 (75.186)
Epoch: [42][7660/14090]	Time 0.924 (0.766)	Data 0.001 (0.001)	Loss 2.3771 (2.2044)	Prec@1 39.844 (44.487)	Prec@5 72.656 (75.186)
Epoch: [42][7670/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.1835 (2.2043)	Prec@1 42.969 (44.488)	Prec@5 76.562 (75.187)
Epoch: [42][7680/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.1103 (2.2044)	Prec@1 50.000 (44.486)	Prec@5 75.000 (75.186)
Epoch: [42][7690/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.2120 (2.2044)	Prec@1 42.969 (44.486)	Prec@5 75.000 (75.184)
Epoch: [42][7700/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.2656 (2.2043)	Prec@1 39.844 (44.489)	Prec@5 71.094 (75.184)
Epoch: [42][7710/14090]	Time 0.775 (0.766)	Data 0.001 (0.001)	Loss 2.0219 (2.2043)	Prec@1 44.531 (44.491)	Prec@5 75.000 (75.183)
Epoch: [42][7720/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.3730 (2.2043)	Prec@1 35.156 (44.488)	Prec@5 72.656 (75.185)
Epoch: [42][7730/14090]	Time 0.857 (0.766)	Data 0.001 (0.001)	Loss 2.5333 (2.2043)	Prec@1 39.062 (44.487)	Prec@5 70.312 (75.185)
Epoch: [42][7740/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.2552 (2.2043)	Prec@1 42.188 (44.490)	Prec@5 73.438 (75.183)
Epoch: [42][7750/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.0455 (2.2043)	Prec@1 44.531 (44.490)	Prec@5 82.031 (75.182)
Epoch: [42][7760/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 1.8601 (2.2043)	Prec@1 50.781 (44.489)	Prec@5 81.250 (75.181)
Epoch: [42][7770/14090]	Time 0.784 (0.766)	Data 0.001 (0.001)	Loss 2.1854 (2.2043)	Prec@1 43.750 (44.491)	Prec@5 77.344 (75.181)
Epoch: [42][7780/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.1004 (2.2043)	Prec@1 50.781 (44.489)	Prec@5 71.094 (75.180)
Epoch: [42][7790/14090]	Time 0.782 (0.766)	Data 0.001 (0.001)	Loss 2.4172 (2.2044)	Prec@1 40.625 (44.488)	Prec@5 75.000 (75.178)
Epoch: [42][7800/14090]	Time 0.869 (0.766)	Data 0.001 (0.001)	Loss 1.8620 (2.2044)	Prec@1 52.344 (44.489)	Prec@5 79.688 (75.181)
Epoch: [42][7810/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.0324 (2.2043)	Prec@1 46.094 (44.489)	Prec@5 73.438 (75.183)
Epoch: [42][7820/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.2803 (2.2043)	Prec@1 42.188 (44.488)	Prec@5 77.344 (75.182)
Epoch: [42][7830/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.1707 (2.2044)	Prec@1 45.312 (44.487)	Prec@5 78.906 (75.180)
Epoch: [42][7840/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.5991 (2.2043)	Prec@1 39.844 (44.487)	Prec@5 65.625 (75.181)
Epoch: [42][7850/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.0451 (2.2044)	Prec@1 42.969 (44.486)	Prec@5 78.125 (75.180)
Epoch: [42][7860/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.4352 (2.2043)	Prec@1 46.875 (44.488)	Prec@5 69.531 (75.181)
Epoch: [42][7870/14090]	Time 0.853 (0.766)	Data 0.001 (0.001)	Loss 2.2761 (2.2043)	Prec@1 44.531 (44.487)	Prec@5 81.250 (75.181)
Epoch: [42][7880/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.1738 (2.2043)	Prec@1 39.062 (44.485)	Prec@5 74.219 (75.180)
Epoch: [42][7890/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.5279 (2.2044)	Prec@1 33.594 (44.485)	Prec@5 70.312 (75.179)
Epoch: [42][7900/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 2.0531 (2.2044)	Prec@1 48.438 (44.484)	Prec@5 81.250 (75.180)
Epoch: [42][7910/14090]	Time 0.778 (0.766)	Data 0.001 (0.001)	Loss 2.0730 (2.2044)	Prec@1 49.219 (44.483)	Prec@5 76.562 (75.180)
Epoch: [42][7920/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.2118 (2.2045)	Prec@1 45.312 (44.480)	Prec@5 75.000 (75.177)
Epoch: [42][7930/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.4442 (2.2045)	Prec@1 46.875 (44.482)	Prec@5 71.875 (75.180)
Epoch: [42][7940/14090]	Time 0.881 (0.766)	Data 0.001 (0.001)	Loss 2.0726 (2.2045)	Prec@1 42.188 (44.481)	Prec@5 77.344 (75.179)
Epoch: [42][7950/14090]	Time 0.785 (0.766)	Data 0.001 (0.001)	Loss 2.2514 (2.2045)	Prec@1 45.312 (44.482)	Prec@5 72.656 (75.178)
Epoch: [42][7960/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.0116 (2.2045)	Prec@1 48.438 (44.481)	Prec@5 77.344 (75.177)
Epoch: [42][7970/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.1102 (2.2045)	Prec@1 52.344 (44.481)	Prec@5 75.000 (75.175)
Epoch: [42][7980/14090]	Time 0.742 (0.766)	Data 0.003 (0.001)	Loss 2.3419 (2.2045)	Prec@1 45.312 (44.482)	Prec@5 73.438 (75.174)
Epoch: [42][7990/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.2489 (2.2046)	Prec@1 42.969 (44.479)	Prec@5 73.438 (75.172)
Epoch: [42][8000/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 1.9200 (2.2046)	Prec@1 50.781 (44.480)	Prec@5 82.812 (75.174)
Epoch: [42][8010/14090]	Time 0.853 (0.766)	Data 0.001 (0.001)	Loss 2.3332 (2.2046)	Prec@1 41.406 (44.481)	Prec@5 72.656 (75.175)
Epoch: [42][8020/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.4469 (2.2046)	Prec@1 42.969 (44.480)	Prec@5 71.094 (75.175)
Epoch: [42][8030/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.3611 (2.2048)	Prec@1 43.750 (44.479)	Prec@5 72.656 (75.173)
Epoch: [42][8040/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.0742 (2.2048)	Prec@1 42.188 (44.477)	Prec@5 78.906 (75.172)
Epoch: [42][8050/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.4259 (2.2048)	Prec@1 39.844 (44.476)	Prec@5 69.531 (75.170)
Epoch: [42][8060/14090]	Time 0.769 (0.766)	Data 0.001 (0.001)	Loss 2.1380 (2.2048)	Prec@1 43.750 (44.478)	Prec@5 75.000 (75.171)
Epoch: [42][8070/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.2535 (2.2047)	Prec@1 42.188 (44.478)	Prec@5 73.438 (75.172)
Epoch: [42][8080/14090]	Time 0.873 (0.766)	Data 0.001 (0.001)	Loss 2.2046 (2.2047)	Prec@1 41.406 (44.479)	Prec@5 77.344 (75.173)
Epoch: [42][8090/14090]	Time 0.769 (0.766)	Data 0.001 (0.001)	Loss 2.1807 (2.2046)	Prec@1 40.625 (44.481)	Prec@5 78.125 (75.175)
Epoch: [42][8100/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.2668 (2.2047)	Prec@1 39.844 (44.480)	Prec@5 77.344 (75.175)
Epoch: [42][8110/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.1015 (2.2046)	Prec@1 46.875 (44.482)	Prec@5 76.562 (75.177)
Epoch: [42][8120/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.4689 (2.2045)	Prec@1 38.281 (44.483)	Prec@5 69.531 (75.178)
Epoch: [42][8130/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.2401 (2.2046)	Prec@1 42.188 (44.483)	Prec@5 75.781 (75.178)
Epoch: [42][8140/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.1012 (2.2046)	Prec@1 45.312 (44.482)	Prec@5 78.906 (75.180)
Epoch: [42][8150/14090]	Time 0.882 (0.766)	Data 0.001 (0.001)	Loss 2.3252 (2.2046)	Prec@1 41.406 (44.480)	Prec@5 71.875 (75.179)
Epoch: [42][8160/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.1906 (2.2047)	Prec@1 42.969 (44.480)	Prec@5 76.562 (75.179)
Epoch: [42][8170/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.2577 (2.2047)	Prec@1 41.406 (44.479)	Prec@5 73.438 (75.177)
Epoch: [42][8180/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 1.8796 (2.2047)	Prec@1 51.562 (44.480)	Prec@5 79.688 (75.176)
Epoch: [42][8190/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 2.7765 (2.2047)	Prec@1 39.062 (44.482)	Prec@5 65.625 (75.176)
Epoch: [42][8200/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.3271 (2.2048)	Prec@1 39.844 (44.481)	Prec@5 70.312 (75.176)
Epoch: [42][8210/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.1801 (2.2048)	Prec@1 50.000 (44.480)	Prec@5 73.438 (75.175)
Epoch: [42][8220/14090]	Time 0.848 (0.766)	Data 0.001 (0.001)	Loss 2.2893 (2.2048)	Prec@1 44.531 (44.479)	Prec@5 71.094 (75.173)
Epoch: [42][8230/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.0877 (2.2048)	Prec@1 50.781 (44.479)	Prec@5 79.688 (75.173)
Epoch: [42][8240/14090]	Time 0.724 (0.766)	Data 0.001 (0.001)	Loss 2.5133 (2.2049)	Prec@1 40.625 (44.478)	Prec@5 67.969 (75.173)
Epoch: [42][8250/14090]	Time 0.724 (0.766)	Data 0.001 (0.001)	Loss 1.9987 (2.2049)	Prec@1 42.969 (44.479)	Prec@5 80.469 (75.172)
Epoch: [42][8260/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.0556 (2.2048)	Prec@1 50.781 (44.479)	Prec@5 77.344 (75.173)
Epoch: [42][8270/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.3503 (2.2048)	Prec@1 39.062 (44.481)	Prec@5 74.219 (75.174)
Epoch: [42][8280/14090]	Time 0.775 (0.766)	Data 0.001 (0.001)	Loss 2.1859 (2.2048)	Prec@1 43.750 (44.479)	Prec@5 75.781 (75.174)
Epoch: [42][8290/14090]	Time 0.873 (0.766)	Data 0.001 (0.001)	Loss 2.1696 (2.2049)	Prec@1 45.312 (44.478)	Prec@5 81.250 (75.175)
Epoch: [42][8300/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.2067 (2.2049)	Prec@1 42.188 (44.475)	Prec@5 75.000 (75.174)
Epoch: [42][8310/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.3206 (2.2049)	Prec@1 42.188 (44.474)	Prec@5 71.875 (75.175)
Epoch: [42][8320/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 1.9265 (2.2049)	Prec@1 45.312 (44.475)	Prec@5 82.812 (75.176)
Epoch: [42][8330/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.2959 (2.2050)	Prec@1 41.406 (44.472)	Prec@5 78.906 (75.174)
Epoch: [42][8340/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.2286 (2.2050)	Prec@1 41.406 (44.471)	Prec@5 75.000 (75.175)
Epoch: [42][8350/14090]	Time 0.724 (0.766)	Data 0.001 (0.001)	Loss 2.3712 (2.2050)	Prec@1 42.188 (44.471)	Prec@5 72.656 (75.177)
Epoch: [42][8360/14090]	Time 0.860 (0.766)	Data 0.001 (0.001)	Loss 2.0926 (2.2050)	Prec@1 42.188 (44.471)	Prec@5 82.031 (75.176)
Epoch: [42][8370/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.2474 (2.2050)	Prec@1 41.406 (44.470)	Prec@5 75.781 (75.176)
Epoch: [42][8380/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.3222 (2.2050)	Prec@1 38.281 (44.471)	Prec@5 75.000 (75.176)
Epoch: [42][8390/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.4218 (2.2051)	Prec@1 40.625 (44.470)	Prec@5 71.094 (75.174)
Epoch: [42][8400/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.0823 (2.2052)	Prec@1 52.344 (44.469)	Prec@5 74.219 (75.172)
Epoch: [42][8410/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.2422 (2.2051)	Prec@1 46.875 (44.470)	Prec@5 73.438 (75.172)
Epoch: [42][8420/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.1061 (2.2051)	Prec@1 50.781 (44.471)	Prec@5 75.000 (75.171)
Epoch: [42][8430/14090]	Time 0.875 (0.766)	Data 0.001 (0.001)	Loss 2.2594 (2.2051)	Prec@1 45.312 (44.471)	Prec@5 71.094 (75.171)
Epoch: [42][8440/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 2.4158 (2.2052)	Prec@1 42.188 (44.470)	Prec@5 71.875 (75.170)
Epoch: [42][8450/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.3877 (2.2053)	Prec@1 40.625 (44.468)	Prec@5 73.438 (75.169)
Epoch: [42][8460/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.4813 (2.2053)	Prec@1 39.062 (44.468)	Prec@5 72.656 (75.170)
Epoch: [42][8470/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.1343 (2.2052)	Prec@1 42.969 (44.469)	Prec@5 76.562 (75.171)
Epoch: [42][8480/14090]	Time 0.724 (0.766)	Data 0.001 (0.001)	Loss 2.3116 (2.2052)	Prec@1 39.062 (44.468)	Prec@5 76.562 (75.173)
Epoch: [42][8490/14090]	Time 0.774 (0.766)	Data 0.001 (0.001)	Loss 2.2582 (2.2053)	Prec@1 40.625 (44.466)	Prec@5 80.469 (75.174)
Epoch: [42][8500/14090]	Time 0.903 (0.766)	Data 0.001 (0.001)	Loss 2.2442 (2.2053)	Prec@1 49.219 (44.467)	Prec@5 73.438 (75.175)
Epoch: [42][8510/14090]	Time 0.769 (0.766)	Data 0.001 (0.001)	Loss 2.3396 (2.2053)	Prec@1 42.969 (44.468)	Prec@5 70.312 (75.175)
Epoch: [42][8520/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.4178 (2.2053)	Prec@1 42.188 (44.467)	Prec@5 73.438 (75.174)
Epoch: [42][8530/14090]	Time 0.776 (0.766)	Data 0.001 (0.001)	Loss 2.0884 (2.2053)	Prec@1 44.531 (44.468)	Prec@5 79.688 (75.173)
Epoch: [42][8540/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.0346 (2.2054)	Prec@1 41.406 (44.467)	Prec@5 75.781 (75.173)
Epoch: [42][8550/14090]	Time 0.786 (0.766)	Data 0.001 (0.001)	Loss 2.1274 (2.2053)	Prec@1 42.969 (44.469)	Prec@5 78.125 (75.174)
Epoch: [42][8560/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.2664 (2.2053)	Prec@1 39.062 (44.468)	Prec@5 69.531 (75.172)
Epoch: [42][8570/14090]	Time 0.872 (0.766)	Data 0.001 (0.001)	Loss 2.0363 (2.2053)	Prec@1 44.531 (44.470)	Prec@5 77.344 (75.170)
Epoch: [42][8580/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 2.3583 (2.2053)	Prec@1 43.750 (44.471)	Prec@5 72.656 (75.170)
Epoch: [42][8590/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.1515 (2.2054)	Prec@1 40.625 (44.469)	Prec@5 75.781 (75.168)
Epoch: [42][8600/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 2.1916 (2.2054)	Prec@1 48.438 (44.472)	Prec@5 75.000 (75.167)
Epoch: [42][8610/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.3544 (2.2053)	Prec@1 44.531 (44.475)	Prec@5 75.781 (75.167)
Epoch: [42][8620/14090]	Time 0.771 (0.766)	Data 0.001 (0.001)	Loss 2.2003 (2.2053)	Prec@1 45.312 (44.476)	Prec@5 70.312 (75.166)
Epoch: [42][8630/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.1264 (2.2052)	Prec@1 49.219 (44.479)	Prec@5 77.344 (75.168)
Epoch: [42][8640/14090]	Time 0.870 (0.766)	Data 0.001 (0.001)	Loss 1.9300 (2.2051)	Prec@1 40.625 (44.479)	Prec@5 85.156 (75.171)
Epoch: [42][8650/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.2947 (2.2051)	Prec@1 42.188 (44.479)	Prec@5 73.438 (75.170)
Epoch: [42][8660/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.0578 (2.2051)	Prec@1 44.531 (44.480)	Prec@5 78.125 (75.173)
Epoch: [42][8670/14090]	Time 0.775 (0.766)	Data 0.001 (0.001)	Loss 2.5789 (2.2051)	Prec@1 34.375 (44.479)	Prec@5 68.750 (75.171)
Epoch: [42][8680/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.1540 (2.2051)	Prec@1 46.875 (44.480)	Prec@5 78.906 (75.171)
Epoch: [42][8690/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.2128 (2.2052)	Prec@1 44.531 (44.480)	Prec@5 75.000 (75.171)
Epoch: [42][8700/14090]	Time 0.780 (0.766)	Data 0.001 (0.001)	Loss 2.2957 (2.2052)	Prec@1 43.750 (44.479)	Prec@5 77.344 (75.169)
Epoch: [42][8710/14090]	Time 0.884 (0.766)	Data 0.001 (0.001)	Loss 2.0706 (2.2053)	Prec@1 50.000 (44.478)	Prec@5 76.562 (75.171)
Epoch: [42][8720/14090]	Time 0.767 (0.766)	Data 0.001 (0.001)	Loss 2.0966 (2.2052)	Prec@1 42.188 (44.479)	Prec@5 79.688 (75.173)
Epoch: [42][8730/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.3487 (2.2052)	Prec@1 42.188 (44.478)	Prec@5 67.969 (75.172)
Epoch: [42][8740/14090]	Time 0.719 (0.766)	Data 0.001 (0.001)	Loss 2.2577 (2.2053)	Prec@1 40.625 (44.476)	Prec@5 75.781 (75.169)
Epoch: [42][8750/14090]	Time 0.773 (0.766)	Data 0.001 (0.001)	Loss 2.2535 (2.2054)	Prec@1 45.312 (44.476)	Prec@5 74.219 (75.168)
Epoch: [42][8760/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.2448 (2.2054)	Prec@1 40.625 (44.475)	Prec@5 71.875 (75.168)
Epoch: [42][8770/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.2700 (2.2054)	Prec@1 39.844 (44.475)	Prec@5 74.219 (75.168)
Epoch: [42][8780/14090]	Time 0.835 (0.766)	Data 0.001 (0.001)	Loss 2.5850 (2.2054)	Prec@1 35.156 (44.476)	Prec@5 67.188 (75.167)
Epoch: [42][8790/14090]	Time 0.777 (0.766)	Data 0.001 (0.001)	Loss 2.2736 (2.2054)	Prec@1 47.656 (44.473)	Prec@5 75.781 (75.166)
Epoch: [42][8800/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 2.2954 (2.2055)	Prec@1 42.188 (44.471)	Prec@5 74.219 (75.165)
Epoch: [42][8810/14090]	Time 0.765 (0.766)	Data 0.001 (0.001)	Loss 2.2420 (2.2055)	Prec@1 45.312 (44.469)	Prec@5 73.438 (75.165)
Epoch: [42][8820/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.3448 (2.2055)	Prec@1 42.188 (44.468)	Prec@5 69.531 (75.165)
Epoch: [42][8830/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.3636 (2.2056)	Prec@1 40.625 (44.465)	Prec@5 73.438 (75.163)
Epoch: [42][8840/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 1.8825 (2.2055)	Prec@1 46.094 (44.466)	Prec@5 83.594 (75.165)
Epoch: [42][8850/14090]	Time 0.858 (0.766)	Data 0.001 (0.001)	Loss 2.3187 (2.2055)	Prec@1 41.406 (44.467)	Prec@5 72.656 (75.165)
Epoch: [42][8860/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.1848 (2.2054)	Prec@1 39.062 (44.467)	Prec@5 77.344 (75.164)
Epoch: [42][8870/14090]	Time 0.775 (0.766)	Data 0.001 (0.001)	Loss 2.3388 (2.2054)	Prec@1 44.531 (44.467)	Prec@5 75.000 (75.165)
Epoch: [42][8880/14090]	Time 0.778 (0.766)	Data 0.001 (0.001)	Loss 2.1380 (2.2054)	Prec@1 45.312 (44.466)	Prec@5 75.000 (75.164)
Epoch: [42][8890/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.2496 (2.2055)	Prec@1 45.312 (44.466)	Prec@5 75.000 (75.163)
Epoch: [42][8900/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 1.9841 (2.2054)	Prec@1 48.438 (44.466)	Prec@5 76.562 (75.163)
Epoch: [42][8910/14090]	Time 0.771 (0.766)	Data 0.001 (0.001)	Loss 2.1138 (2.2055)	Prec@1 48.438 (44.465)	Prec@5 73.438 (75.161)
Epoch: [42][8920/14090]	Time 0.868 (0.766)	Data 0.001 (0.001)	Loss 2.1935 (2.2055)	Prec@1 47.656 (44.467)	Prec@5 75.781 (75.162)
Epoch: [42][8930/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.0148 (2.2054)	Prec@1 48.438 (44.469)	Prec@5 80.469 (75.162)
Epoch: [42][8940/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.1996 (2.2055)	Prec@1 43.750 (44.468)	Prec@5 75.781 (75.160)
Epoch: [42][8950/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.4268 (2.2056)	Prec@1 39.062 (44.464)	Prec@5 75.781 (75.158)
Epoch: [42][8960/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.1926 (2.2057)	Prec@1 45.312 (44.464)	Prec@5 71.875 (75.156)
Epoch: [42][8970/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.0282 (2.2057)	Prec@1 45.312 (44.464)	Prec@5 77.344 (75.156)
Epoch: [42][8980/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 2.2592 (2.2058)	Prec@1 46.875 (44.463)	Prec@5 72.656 (75.155)
Epoch: [42][8990/14090]	Time 0.881 (0.766)	Data 0.001 (0.001)	Loss 2.0597 (2.2057)	Prec@1 48.438 (44.464)	Prec@5 78.906 (75.157)
Epoch: [42][9000/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.1957 (2.2058)	Prec@1 41.406 (44.462)	Prec@5 78.906 (75.155)
Epoch: [42][9010/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.0497 (2.2058)	Prec@1 48.438 (44.465)	Prec@5 79.688 (75.157)
Epoch: [42][9020/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 2.3053 (2.2059)	Prec@1 42.188 (44.463)	Prec@5 68.750 (75.154)
Epoch: [42][9030/14090]	Time 0.773 (0.766)	Data 0.001 (0.001)	Loss 2.0748 (2.2059)	Prec@1 47.656 (44.463)	Prec@5 77.344 (75.154)
Epoch: [42][9040/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.2083 (2.2059)	Prec@1 47.656 (44.467)	Prec@5 68.750 (75.155)
Epoch: [42][9050/14090]	Time 0.776 (0.766)	Data 0.001 (0.001)	Loss 2.3024 (2.2060)	Prec@1 42.188 (44.464)	Prec@5 71.875 (75.153)
Epoch: [42][9060/14090]	Time 0.869 (0.766)	Data 0.001 (0.001)	Loss 1.9750 (2.2060)	Prec@1 53.125 (44.466)	Prec@5 78.125 (75.153)
Epoch: [42][9070/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.0592 (2.2060)	Prec@1 43.750 (44.467)	Prec@5 75.000 (75.152)
Epoch: [42][9080/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.3134 (2.2060)	Prec@1 43.750 (44.466)	Prec@5 71.875 (75.151)
Epoch: [42][9090/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.3917 (2.2061)	Prec@1 40.625 (44.465)	Prec@5 71.875 (75.150)
Epoch: [42][9100/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.3423 (2.2062)	Prec@1 42.969 (44.466)	Prec@5 68.750 (75.148)
Epoch: [42][9110/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.1667 (2.2061)	Prec@1 43.750 (44.465)	Prec@5 80.469 (75.149)
Epoch: [42][9120/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.4996 (2.2062)	Prec@1 42.188 (44.464)	Prec@5 67.969 (75.147)
Epoch: [42][9130/14090]	Time 0.856 (0.766)	Data 0.001 (0.001)	Loss 2.4352 (2.2062)	Prec@1 39.062 (44.465)	Prec@5 66.406 (75.147)
Epoch: [42][9140/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.1375 (2.2063)	Prec@1 46.094 (44.463)	Prec@5 74.219 (75.145)
Epoch: [42][9150/14090]	Time 0.786 (0.766)	Data 0.001 (0.001)	Loss 2.5118 (2.2065)	Prec@1 36.719 (44.461)	Prec@5 67.188 (75.142)
Epoch: [42][9160/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 2.4641 (2.2065)	Prec@1 37.500 (44.459)	Prec@5 72.656 (75.141)
Epoch: [42][9170/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 2.3543 (2.2065)	Prec@1 39.062 (44.458)	Prec@5 75.000 (75.141)
Epoch: [42][9180/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.0637 (2.2064)	Prec@1 40.625 (44.460)	Prec@5 78.906 (75.144)
Epoch: [42][9190/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.2449 (2.2064)	Prec@1 46.875 (44.459)	Prec@5 74.219 (75.143)
Epoch: [42][9200/14090]	Time 0.849 (0.766)	Data 0.001 (0.001)	Loss 2.2054 (2.2064)	Prec@1 47.656 (44.462)	Prec@5 74.219 (75.143)
Epoch: [42][9210/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.3848 (2.2064)	Prec@1 47.656 (44.460)	Prec@5 73.438 (75.144)
Epoch: [42][9220/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 2.1195 (2.2065)	Prec@1 46.094 (44.457)	Prec@5 75.000 (75.143)
Epoch: [42][9230/14090]	Time 0.781 (0.766)	Data 0.001 (0.001)	Loss 2.1376 (2.2064)	Prec@1 47.656 (44.460)	Prec@5 75.781 (75.145)
Epoch: [42][9240/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.2735 (2.2064)	Prec@1 44.531 (44.458)	Prec@5 72.656 (75.145)
Epoch: [42][9250/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.0802 (2.2064)	Prec@1 50.781 (44.460)	Prec@5 74.219 (75.146)
Epoch: [42][9260/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.2618 (2.2064)	Prec@1 43.750 (44.458)	Prec@5 75.781 (75.146)
Epoch: [42][9270/14090]	Time 0.890 (0.766)	Data 0.001 (0.001)	Loss 2.1902 (2.2064)	Prec@1 46.094 (44.458)	Prec@5 73.438 (75.146)
Epoch: [42][9280/14090]	Time 0.775 (0.766)	Data 0.001 (0.001)	Loss 2.3113 (2.2064)	Prec@1 42.188 (44.458)	Prec@5 73.438 (75.146)
Epoch: [42][9290/14090]	Time 0.724 (0.766)	Data 0.001 (0.001)	Loss 2.1083 (2.2064)	Prec@1 50.000 (44.460)	Prec@5 79.688 (75.147)
Epoch: [42][9300/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.0307 (2.2064)	Prec@1 47.656 (44.460)	Prec@5 78.906 (75.147)
Epoch: [42][9310/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.1448 (2.2064)	Prec@1 46.875 (44.461)	Prec@5 77.344 (75.147)
Epoch: [42][9320/14090]	Time 0.724 (0.766)	Data 0.001 (0.001)	Loss 2.2420 (2.2064)	Prec@1 42.969 (44.459)	Prec@5 71.094 (75.147)
Epoch: [42][9330/14090]	Time 0.772 (0.766)	Data 0.001 (0.001)	Loss 2.3009 (2.2065)	Prec@1 39.844 (44.458)	Prec@5 75.000 (75.146)
Epoch: [42][9340/14090]	Time 0.900 (0.766)	Data 0.001 (0.001)	Loss 2.5733 (2.2065)	Prec@1 37.500 (44.458)	Prec@5 65.625 (75.146)
Epoch: [42][9350/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 2.2446 (2.2064)	Prec@1 42.188 (44.460)	Prec@5 79.688 (75.147)
Epoch: [42][9360/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.0962 (2.2064)	Prec@1 41.406 (44.458)	Prec@5 77.344 (75.147)
Epoch: [42][9370/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.2304 (2.2064)	Prec@1 42.188 (44.458)	Prec@5 74.219 (75.147)
Epoch: [42][9380/14090]	Time 0.780 (0.766)	Data 0.001 (0.001)	Loss 2.2022 (2.2065)	Prec@1 44.531 (44.457)	Prec@5 75.000 (75.146)
Epoch: [42][9390/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 2.1635 (2.2066)	Prec@1 46.094 (44.455)	Prec@5 78.125 (75.143)
Epoch: [42][9400/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.2156 (2.2065)	Prec@1 42.969 (44.456)	Prec@5 70.312 (75.145)
Epoch: [42][9410/14090]	Time 0.884 (0.766)	Data 0.001 (0.001)	Loss 2.0465 (2.2065)	Prec@1 43.750 (44.457)	Prec@5 79.688 (75.146)
Epoch: [42][9420/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.2542 (2.2066)	Prec@1 45.312 (44.455)	Prec@5 73.438 (75.147)
Epoch: [42][9430/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 2.2329 (2.2067)	Prec@1 46.875 (44.452)	Prec@5 78.125 (75.143)
Epoch: [42][9440/14090]	Time 0.720 (0.766)	Data 0.001 (0.001)	Loss 2.1645 (2.2067)	Prec@1 40.625 (44.450)	Prec@5 75.781 (75.143)
Epoch: [42][9450/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.2314 (2.2068)	Prec@1 43.750 (44.448)	Prec@5 73.438 (75.142)
Epoch: [42][9460/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.0696 (2.2068)	Prec@1 53.125 (44.448)	Prec@5 77.344 (75.142)
Epoch: [42][9470/14090]	Time 0.777 (0.766)	Data 0.001 (0.001)	Loss 2.2077 (2.2069)	Prec@1 48.438 (44.448)	Prec@5 72.656 (75.140)
Epoch: [42][9480/14090]	Time 0.853 (0.766)	Data 0.001 (0.001)	Loss 2.3540 (2.2070)	Prec@1 46.094 (44.447)	Prec@5 76.562 (75.138)
Epoch: [42][9490/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.3659 (2.2069)	Prec@1 39.844 (44.450)	Prec@5 72.656 (75.138)
Epoch: [42][9500/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 1.9458 (2.2069)	Prec@1 50.000 (44.449)	Prec@5 82.031 (75.139)
Epoch: [42][9510/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.0963 (2.2068)	Prec@1 47.656 (44.449)	Prec@5 74.219 (75.141)
Epoch: [42][9520/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.5414 (2.2068)	Prec@1 36.719 (44.449)	Prec@5 64.844 (75.140)
Epoch: [42][9530/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.5544 (2.2069)	Prec@1 37.500 (44.447)	Prec@5 66.406 (75.138)
Epoch: [42][9540/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 1.9470 (2.2069)	Prec@1 46.875 (44.447)	Prec@5 78.906 (75.138)
Epoch: [42][9550/14090]	Time 0.829 (0.766)	Data 0.001 (0.001)	Loss 2.2239 (2.2069)	Prec@1 41.406 (44.447)	Prec@5 75.781 (75.138)
Epoch: [42][9560/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.2137 (2.2069)	Prec@1 43.750 (44.448)	Prec@5 75.000 (75.139)
Epoch: [42][9570/14090]	Time 0.778 (0.766)	Data 0.001 (0.001)	Loss 2.2108 (2.2069)	Prec@1 46.094 (44.448)	Prec@5 71.875 (75.138)
Epoch: [42][9580/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.3460 (2.2068)	Prec@1 35.938 (44.447)	Prec@5 67.188 (75.137)
Epoch: [42][9590/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.1181 (2.2069)	Prec@1 43.750 (44.448)	Prec@5 75.000 (75.137)
Epoch: [42][9600/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.2355 (2.2068)	Prec@1 40.625 (44.448)	Prec@5 75.781 (75.137)
Epoch: [42][9610/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.1211 (2.2069)	Prec@1 44.531 (44.447)	Prec@5 80.469 (75.136)
Epoch: [42][9620/14090]	Time 0.871 (0.766)	Data 0.001 (0.001)	Loss 2.1897 (2.2069)	Prec@1 46.094 (44.447)	Prec@5 74.219 (75.136)
Epoch: [42][9630/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.3400 (2.2069)	Prec@1 39.062 (44.449)	Prec@5 75.000 (75.137)
Epoch: [42][9640/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 1.9549 (2.2068)	Prec@1 49.219 (44.450)	Prec@5 82.031 (75.140)
Epoch: [42][9650/14090]	Time 0.722 (0.766)	Data 0.001 (0.001)	Loss 2.1742 (2.2069)	Prec@1 48.438 (44.448)	Prec@5 72.656 (75.138)
Epoch: [42][9660/14090]	Time 0.795 (0.766)	Data 0.001 (0.001)	Loss 2.3002 (2.2068)	Prec@1 39.062 (44.451)	Prec@5 76.562 (75.140)
Epoch: [42][9670/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.4617 (2.2069)	Prec@1 42.188 (44.450)	Prec@5 69.531 (75.138)
Epoch: [42][9680/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 1.9497 (2.2069)	Prec@1 52.344 (44.450)	Prec@5 75.781 (75.136)
Epoch: [42][9690/14090]	Time 0.875 (0.766)	Data 0.001 (0.001)	Loss 2.4159 (2.2068)	Prec@1 34.375 (44.451)	Prec@5 73.438 (75.138)
Epoch: [42][9700/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.2291 (2.2068)	Prec@1 43.750 (44.452)	Prec@5 72.656 (75.139)
Epoch: [42][9710/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.3494 (2.2069)	Prec@1 46.094 (44.449)	Prec@5 75.000 (75.137)
Epoch: [42][9720/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.1488 (2.2069)	Prec@1 42.969 (44.449)	Prec@5 74.219 (75.136)
Epoch: [42][9730/14090]	Time 0.722 (0.766)	Data 0.001 (0.001)	Loss 2.3296 (2.2069)	Prec@1 38.281 (44.449)	Prec@5 75.000 (75.138)
Epoch: [42][9740/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.2572 (2.2069)	Prec@1 42.188 (44.450)	Prec@5 74.219 (75.139)
Epoch: [42][9750/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.4984 (2.2069)	Prec@1 43.750 (44.450)	Prec@5 71.875 (75.137)
Epoch: [42][9760/14090]	Time 0.870 (0.766)	Data 0.001 (0.001)	Loss 2.3005 (2.2069)	Prec@1 39.844 (44.451)	Prec@5 76.562 (75.139)
Epoch: [42][9770/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.1085 (2.2068)	Prec@1 42.969 (44.453)	Prec@5 76.562 (75.139)
Epoch: [42][9780/14090]	Time 0.774 (0.766)	Data 0.001 (0.001)	Loss 2.1126 (2.2068)	Prec@1 46.094 (44.454)	Prec@5 75.781 (75.139)
Epoch: [42][9790/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.7472 (2.2069)	Prec@1 42.188 (44.453)	Prec@5 65.625 (75.139)
Epoch: [42][9800/14090]	Time 0.716 (0.766)	Data 0.001 (0.001)	Loss 2.1224 (2.2069)	Prec@1 42.188 (44.452)	Prec@5 75.000 (75.140)
Epoch: [42][9810/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.4586 (2.2070)	Prec@1 44.531 (44.450)	Prec@5 70.312 (75.138)
Epoch: [42][9820/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.2182 (2.2070)	Prec@1 43.750 (44.452)	Prec@5 74.219 (75.138)
Epoch: [42][9830/14090]	Time 0.837 (0.766)	Data 0.001 (0.001)	Loss 2.4282 (2.2069)	Prec@1 42.188 (44.453)	Prec@5 67.969 (75.138)
Epoch: [42][9840/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.2898 (2.2070)	Prec@1 44.531 (44.453)	Prec@5 70.312 (75.136)
Epoch: [42][9850/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 2.2785 (2.2070)	Prec@1 43.750 (44.451)	Prec@5 76.562 (75.134)
Epoch: [42][9860/14090]	Time 0.767 (0.766)	Data 0.001 (0.001)	Loss 2.1314 (2.2070)	Prec@1 41.406 (44.449)	Prec@5 75.000 (75.134)
Epoch: [42][9870/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.2473 (2.2071)	Prec@1 44.531 (44.448)	Prec@5 71.094 (75.134)
Epoch: [42][9880/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 2.2326 (2.2070)	Prec@1 46.875 (44.449)	Prec@5 74.219 (75.134)
Epoch: [42][9890/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.4152 (2.2071)	Prec@1 37.500 (44.449)	Prec@5 70.312 (75.134)
Epoch: [42][9900/14090]	Time 1.004 (0.766)	Data 0.001 (0.001)	Loss 2.2107 (2.2070)	Prec@1 46.875 (44.450)	Prec@5 76.562 (75.136)
Epoch: [42][9910/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 1.9941 (2.2069)	Prec@1 46.875 (44.453)	Prec@5 74.219 (75.137)
Epoch: [42][9920/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.2878 (2.2069)	Prec@1 43.750 (44.454)	Prec@5 67.969 (75.137)
Epoch: [42][9930/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.2788 (2.2069)	Prec@1 42.969 (44.456)	Prec@5 73.438 (75.137)
Epoch: [42][9940/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.0505 (2.2068)	Prec@1 50.000 (44.457)	Prec@5 80.469 (75.138)
Epoch: [42][9950/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 1.9543 (2.2069)	Prec@1 50.781 (44.457)	Prec@5 80.469 (75.137)
Epoch: [42][9960/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.5621 (2.2069)	Prec@1 39.062 (44.457)	Prec@5 68.750 (75.136)
Epoch: [42][9970/14090]	Time 0.849 (0.766)	Data 0.001 (0.001)	Loss 2.3134 (2.2070)	Prec@1 41.406 (44.456)	Prec@5 75.000 (75.136)
Epoch: [42][9980/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.0781 (2.2070)	Prec@1 50.781 (44.458)	Prec@5 76.562 (75.138)
Epoch: [42][9990/14090]	Time 0.775 (0.766)	Data 0.001 (0.001)	Loss 2.6428 (2.2070)	Prec@1 38.281 (44.458)	Prec@5 67.188 (75.138)
Epoch: [42][10000/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.2248 (2.2070)	Prec@1 46.094 (44.458)	Prec@5 75.000 (75.137)
Epoch: [42][10010/14090]	Time 0.717 (0.766)	Data 0.001 (0.001)	Loss 1.9256 (2.2071)	Prec@1 47.656 (44.457)	Prec@5 84.375 (75.137)
Epoch: [42][10020/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.4212 (2.2071)	Prec@1 38.281 (44.456)	Prec@5 73.438 (75.137)
Epoch: [42][10030/14090]	Time 0.767 (0.766)	Data 0.001 (0.001)	Loss 2.1417 (2.2071)	Prec@1 48.438 (44.456)	Prec@5 73.438 (75.137)
Epoch: [42][10040/14090]	Time 0.879 (0.766)	Data 0.001 (0.001)	Loss 2.2097 (2.2071)	Prec@1 47.656 (44.456)	Prec@5 78.125 (75.140)
Epoch: [42][10050/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.2428 (2.2072)	Prec@1 42.188 (44.453)	Prec@5 75.000 (75.138)
Epoch: [42][10060/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.2842 (2.2072)	Prec@1 42.188 (44.452)	Prec@5 75.000 (75.136)
Epoch: [42][10070/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.1166 (2.2072)	Prec@1 42.188 (44.453)	Prec@5 79.688 (75.137)
Epoch: [42][10080/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.2858 (2.2072)	Prec@1 44.531 (44.451)	Prec@5 67.969 (75.136)
Epoch: [42][10090/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 2.1729 (2.2073)	Prec@1 41.406 (44.450)	Prec@5 75.781 (75.136)
Epoch: [42][10100/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.2787 (2.2073)	Prec@1 41.406 (44.449)	Prec@5 78.906 (75.136)
Epoch: [42][10110/14090]	Time 0.880 (0.766)	Data 0.001 (0.001)	Loss 2.1118 (2.2073)	Prec@1 42.969 (44.446)	Prec@5 75.781 (75.135)
Epoch: [42][10120/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.2510 (2.2073)	Prec@1 47.656 (44.446)	Prec@5 75.781 (75.135)
Epoch: [42][10130/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.4841 (2.2073)	Prec@1 37.500 (44.446)	Prec@5 71.875 (75.135)
Epoch: [42][10140/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.0808 (2.2074)	Prec@1 50.000 (44.443)	Prec@5 76.562 (75.134)
Epoch: [42][10150/14090]	Time 0.781 (0.766)	Data 0.001 (0.001)	Loss 2.3022 (2.2074)	Prec@1 42.188 (44.444)	Prec@5 75.781 (75.134)
Epoch: [42][10160/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.1210 (2.2074)	Prec@1 45.312 (44.443)	Prec@5 73.438 (75.136)
Epoch: [42][10170/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.1682 (2.2074)	Prec@1 42.969 (44.444)	Prec@5 75.000 (75.135)
Epoch: [42][10180/14090]	Time 0.837 (0.766)	Data 0.001 (0.001)	Loss 2.2091 (2.2075)	Prec@1 50.000 (44.444)	Prec@5 70.312 (75.133)
Epoch: [42][10190/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.5806 (2.2075)	Prec@1 37.500 (44.443)	Prec@5 70.312 (75.133)
Epoch: [42][10200/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 1.9414 (2.2075)	Prec@1 49.219 (44.441)	Prec@5 78.906 (75.133)
Epoch: [42][10210/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.3885 (2.2075)	Prec@1 35.156 (44.440)	Prec@5 70.312 (75.132)
Epoch: [42][10220/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.1958 (2.2075)	Prec@1 42.969 (44.439)	Prec@5 78.906 (75.132)
Epoch: [42][10230/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 1.9931 (2.2075)	Prec@1 53.125 (44.439)	Prec@5 77.344 (75.132)
Epoch: [42][10240/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.1861 (2.2075)	Prec@1 42.969 (44.440)	Prec@5 75.000 (75.133)
Epoch: [42][10250/14090]	Time 0.848 (0.766)	Data 0.001 (0.001)	Loss 2.2883 (2.2075)	Prec@1 35.156 (44.438)	Prec@5 71.094 (75.131)
Epoch: [42][10260/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 2.1011 (2.2075)	Prec@1 46.094 (44.438)	Prec@5 78.125 (75.131)
Epoch: [42][10270/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 2.2081 (2.2076)	Prec@1 46.094 (44.437)	Prec@5 73.438 (75.129)
Epoch: [42][10280/14090]	Time 0.767 (0.766)	Data 0.001 (0.001)	Loss 2.2054 (2.2076)	Prec@1 45.312 (44.437)	Prec@5 73.438 (75.129)
Epoch: [42][10290/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.0221 (2.2076)	Prec@1 52.344 (44.438)	Prec@5 81.250 (75.129)
Epoch: [42][10300/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.3943 (2.2076)	Prec@1 36.719 (44.437)	Prec@5 74.219 (75.129)
Epoch: [42][10310/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.2372 (2.2077)	Prec@1 45.312 (44.436)	Prec@5 70.312 (75.128)
Epoch: [42][10320/14090]	Time 0.885 (0.766)	Data 0.001 (0.001)	Loss 2.1152 (2.2077)	Prec@1 39.844 (44.438)	Prec@5 76.562 (75.128)
Epoch: [42][10330/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 2.4508 (2.2077)	Prec@1 41.406 (44.437)	Prec@5 66.406 (75.128)
Epoch: [42][10340/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.5161 (2.2078)	Prec@1 38.281 (44.436)	Prec@5 67.188 (75.128)
Epoch: [42][10350/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 1.9210 (2.2077)	Prec@1 53.125 (44.438)	Prec@5 77.344 (75.128)
Epoch: [42][10360/14090]	Time 0.768 (0.766)	Data 0.002 (0.001)	Loss 2.1129 (2.2078)	Prec@1 47.656 (44.436)	Prec@5 72.656 (75.126)
Epoch: [42][10370/14090]	Time 0.782 (0.766)	Data 0.001 (0.001)	Loss 2.4361 (2.2078)	Prec@1 36.719 (44.436)	Prec@5 70.312 (75.127)
Epoch: [42][10380/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 2.5222 (2.2078)	Prec@1 34.375 (44.432)	Prec@5 68.750 (75.125)
Epoch: [42][10390/14090]	Time 0.877 (0.766)	Data 0.001 (0.001)	Loss 2.3925 (2.2079)	Prec@1 39.062 (44.433)	Prec@5 71.875 (75.125)
Epoch: [42][10400/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.2197 (2.2078)	Prec@1 48.438 (44.436)	Prec@5 76.562 (75.127)
Epoch: [42][10410/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.3617 (2.2078)	Prec@1 46.094 (44.436)	Prec@5 74.219 (75.127)
Epoch: [42][10420/14090]	Time 0.773 (0.766)	Data 0.001 (0.001)	Loss 2.0539 (2.2078)	Prec@1 46.875 (44.437)	Prec@5 75.000 (75.127)
Epoch: [42][10430/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 2.0714 (2.2078)	Prec@1 46.875 (44.439)	Prec@5 77.344 (75.127)
Epoch: [42][10440/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 1.8921 (2.2077)	Prec@1 52.344 (44.439)	Prec@5 79.688 (75.127)
Epoch: [42][10450/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.2936 (2.2078)	Prec@1 42.969 (44.438)	Prec@5 74.219 (75.125)
Epoch: [42][10460/14090]	Time 0.857 (0.766)	Data 0.001 (0.001)	Loss 2.4517 (2.2080)	Prec@1 37.500 (44.436)	Prec@5 72.656 (75.123)
Epoch: [42][10470/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 1.9086 (2.2079)	Prec@1 50.781 (44.437)	Prec@5 78.906 (75.124)
Epoch: [42][10480/14090]	Time 0.746 (0.766)	Data 0.003 (0.001)	Loss 2.1006 (2.2080)	Prec@1 42.969 (44.436)	Prec@5 79.688 (75.123)
Epoch: [42][10490/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.3533 (2.2080)	Prec@1 45.312 (44.438)	Prec@5 76.562 (75.125)
Epoch: [42][10500/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.1554 (2.2080)	Prec@1 47.656 (44.436)	Prec@5 75.000 (75.124)
Epoch: [42][10510/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.2386 (2.2079)	Prec@1 46.875 (44.439)	Prec@5 76.562 (75.126)
Epoch: [42][10520/14090]	Time 0.768 (0.766)	Data 0.001 (0.001)	Loss 2.3559 (2.2080)	Prec@1 37.500 (44.437)	Prec@5 71.094 (75.125)
Epoch: [42][10530/14090]	Time 0.874 (0.766)	Data 0.001 (0.001)	Loss 2.1587 (2.2080)	Prec@1 42.969 (44.437)	Prec@5 75.781 (75.124)
Epoch: [42][10540/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 1.8675 (2.2081)	Prec@1 49.219 (44.437)	Prec@5 79.688 (75.124)
Epoch: [42][10550/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.0962 (2.2081)	Prec@1 46.094 (44.436)	Prec@5 78.125 (75.123)
Epoch: [42][10560/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 1.9518 (2.2082)	Prec@1 53.125 (44.435)	Prec@5 79.688 (75.121)
Epoch: [42][10570/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.2509 (2.2082)	Prec@1 40.625 (44.434)	Prec@5 79.688 (75.122)
Epoch: [42][10580/14090]	Time 0.773 (0.766)	Data 0.001 (0.001)	Loss 2.5616 (2.2082)	Prec@1 35.938 (44.433)	Prec@5 67.969 (75.122)
Epoch: [42][10590/14090]	Time 0.792 (0.766)	Data 0.001 (0.001)	Loss 2.3794 (2.2083)	Prec@1 38.281 (44.433)	Prec@5 72.656 (75.121)
Epoch: [42][10600/14090]	Time 0.857 (0.766)	Data 0.001 (0.001)	Loss 1.9612 (2.2083)	Prec@1 50.000 (44.430)	Prec@5 81.250 (75.121)
Epoch: [42][10610/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 1.9594 (2.2082)	Prec@1 47.656 (44.432)	Prec@5 78.906 (75.122)
Epoch: [42][10620/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.2624 (2.2081)	Prec@1 46.875 (44.432)	Prec@5 68.750 (75.123)
Epoch: [42][10630/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.4040 (2.2082)	Prec@1 41.406 (44.429)	Prec@5 71.875 (75.121)
Epoch: [42][10640/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.2036 (2.2082)	Prec@1 49.219 (44.430)	Prec@5 76.562 (75.122)
Epoch: [42][10650/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.0565 (2.2083)	Prec@1 50.000 (44.428)	Prec@5 75.781 (75.119)
Epoch: [42][10660/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.1989 (2.2083)	Prec@1 45.312 (44.426)	Prec@5 70.312 (75.119)
Epoch: [42][10670/14090]	Time 0.900 (0.766)	Data 0.001 (0.001)	Loss 1.9713 (2.2084)	Prec@1 47.656 (44.425)	Prec@5 82.812 (75.118)
Epoch: [42][10680/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.4089 (2.2084)	Prec@1 43.750 (44.424)	Prec@5 69.531 (75.117)
Epoch: [42][10690/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.3120 (2.2085)	Prec@1 40.625 (44.422)	Prec@5 75.781 (75.117)
Epoch: [42][10700/14090]	Time 0.767 (0.766)	Data 0.001 (0.001)	Loss 2.3208 (2.2085)	Prec@1 42.188 (44.420)	Prec@5 71.875 (75.117)
Epoch: [42][10710/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.0685 (2.2085)	Prec@1 45.312 (44.419)	Prec@5 80.469 (75.116)
Epoch: [42][10720/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 1.9789 (2.2085)	Prec@1 42.969 (44.420)	Prec@5 76.562 (75.117)
Epoch: [42][10730/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.0423 (2.2084)	Prec@1 49.219 (44.422)	Prec@5 76.562 (75.117)
Epoch: [42][10740/14090]	Time 0.854 (0.766)	Data 0.001 (0.001)	Loss 2.0982 (2.2083)	Prec@1 46.094 (44.424)	Prec@5 81.250 (75.121)
Epoch: [42][10750/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.1484 (2.2083)	Prec@1 46.094 (44.424)	Prec@5 74.219 (75.121)
Epoch: [42][10760/14090]	Time 0.752 (0.766)	Data 0.006 (0.001)	Loss 2.3511 (2.2083)	Prec@1 46.875 (44.423)	Prec@5 71.875 (75.119)
Epoch: [42][10770/14090]	Time 0.780 (0.766)	Data 0.001 (0.001)	Loss 2.0337 (2.2082)	Prec@1 44.531 (44.426)	Prec@5 82.812 (75.122)
Epoch: [42][10780/14090]	Time 0.776 (0.766)	Data 0.001 (0.001)	Loss 2.1890 (2.2082)	Prec@1 42.969 (44.423)	Prec@5 77.344 (75.124)
Epoch: [42][10790/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.0259 (2.2082)	Prec@1 42.969 (44.423)	Prec@5 80.469 (75.123)
Epoch: [42][10800/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.2974 (2.2082)	Prec@1 42.969 (44.424)	Prec@5 72.656 (75.123)
Epoch: [42][10810/14090]	Time 0.910 (0.766)	Data 0.001 (0.001)	Loss 2.2230 (2.2082)	Prec@1 50.000 (44.426)	Prec@5 73.438 (75.123)
Epoch: [42][10820/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.0009 (2.2082)	Prec@1 45.312 (44.425)	Prec@5 82.031 (75.123)
Epoch: [42][10830/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.1351 (2.2082)	Prec@1 46.094 (44.426)	Prec@5 75.781 (75.124)
Epoch: [42][10840/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.1456 (2.2082)	Prec@1 43.750 (44.426)	Prec@5 78.125 (75.124)
Epoch: [42][10850/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.3122 (2.2082)	Prec@1 42.969 (44.426)	Prec@5 72.656 (75.125)
Epoch: [42][10860/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.4694 (2.2082)	Prec@1 36.719 (44.424)	Prec@5 68.750 (75.124)
Epoch: [42][10870/14090]	Time 0.781 (0.766)	Data 0.001 (0.001)	Loss 2.1578 (2.2082)	Prec@1 43.750 (44.424)	Prec@5 79.688 (75.126)
Epoch: [42][10880/14090]	Time 0.852 (0.766)	Data 0.001 (0.001)	Loss 2.3308 (2.2083)	Prec@1 41.406 (44.420)	Prec@5 75.781 (75.125)
Epoch: [42][10890/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.5906 (2.2083)	Prec@1 37.500 (44.420)	Prec@5 67.188 (75.124)
Epoch: [42][10900/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.3593 (2.2084)	Prec@1 46.094 (44.420)	Prec@5 71.875 (75.121)
Epoch: [42][10910/14090]	Time 0.787 (0.766)	Data 0.001 (0.001)	Loss 2.0903 (2.2084)	Prec@1 42.969 (44.419)	Prec@5 78.125 (75.118)
Epoch: [42][10920/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.2930 (2.2085)	Prec@1 34.375 (44.419)	Prec@5 80.469 (75.120)
Epoch: [42][10930/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.1871 (2.2084)	Prec@1 42.188 (44.421)	Prec@5 78.906 (75.121)
Epoch: [42][10940/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 2.1084 (2.2083)	Prec@1 51.562 (44.423)	Prec@5 76.562 (75.121)
Epoch: [42][10950/14090]	Time 0.839 (0.766)	Data 0.001 (0.001)	Loss 2.1879 (2.2083)	Prec@1 42.188 (44.423)	Prec@5 76.562 (75.123)
Epoch: [42][10960/14090]	Time 0.765 (0.766)	Data 0.001 (0.001)	Loss 2.0860 (2.2083)	Prec@1 49.219 (44.423)	Prec@5 76.562 (75.123)
Epoch: [42][10970/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 2.1209 (2.2083)	Prec@1 46.875 (44.421)	Prec@5 75.000 (75.122)
Epoch: [42][10980/14090]	Time 0.775 (0.766)	Data 0.001 (0.001)	Loss 2.1853 (2.2084)	Prec@1 50.781 (44.421)	Prec@5 73.438 (75.121)
Epoch: [42][10990/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.2699 (2.2085)	Prec@1 42.188 (44.420)	Prec@5 75.781 (75.120)
Epoch: [42][11000/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.1628 (2.2084)	Prec@1 45.312 (44.420)	Prec@5 75.000 (75.121)
Epoch: [42][11010/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.2174 (2.2085)	Prec@1 43.750 (44.418)	Prec@5 74.219 (75.121)
Epoch: [42][11020/14090]	Time 0.876 (0.766)	Data 0.002 (0.001)	Loss 2.0550 (2.2085)	Prec@1 42.188 (44.418)	Prec@5 75.781 (75.120)
Epoch: [42][11030/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.3438 (2.2086)	Prec@1 43.750 (44.415)	Prec@5 74.219 (75.119)
Epoch: [42][11040/14090]	Time 0.791 (0.766)	Data 0.001 (0.001)	Loss 2.1290 (2.2086)	Prec@1 46.094 (44.415)	Prec@5 74.219 (75.119)
Epoch: [42][11050/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.3204 (2.2086)	Prec@1 42.969 (44.414)	Prec@5 71.094 (75.119)
Epoch: [42][11060/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.0281 (2.2086)	Prec@1 46.094 (44.413)	Prec@5 75.781 (75.119)
Epoch: [42][11070/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.0521 (2.2086)	Prec@1 50.781 (44.415)	Prec@5 75.781 (75.118)
Epoch: [42][11080/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.1138 (2.2085)	Prec@1 45.312 (44.417)	Prec@5 78.906 (75.120)
Epoch: [42][11090/14090]	Time 0.877 (0.766)	Data 0.001 (0.001)	Loss 2.2033 (2.2086)	Prec@1 46.875 (44.416)	Prec@5 74.219 (75.119)
Epoch: [42][11100/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 1.9669 (2.2085)	Prec@1 46.094 (44.416)	Prec@5 78.906 (75.120)
Epoch: [42][11110/14090]	Time 0.779 (0.766)	Data 0.001 (0.001)	Loss 2.3123 (2.2085)	Prec@1 40.625 (44.418)	Prec@5 75.781 (75.120)
Epoch: [42][11120/14090]	Time 0.801 (0.766)	Data 0.001 (0.001)	Loss 2.4401 (2.2085)	Prec@1 41.406 (44.417)	Prec@5 70.312 (75.121)
Epoch: [42][11130/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.2609 (2.2085)	Prec@1 40.625 (44.419)	Prec@5 74.219 (75.122)
Epoch: [42][11140/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.1124 (2.2085)	Prec@1 41.406 (44.417)	Prec@5 78.906 (75.121)
Epoch: [42][11150/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.0556 (2.2085)	Prec@1 46.094 (44.418)	Prec@5 82.812 (75.121)
Epoch: [42][11160/14090]	Time 0.840 (0.766)	Data 0.001 (0.001)	Loss 2.3602 (2.2085)	Prec@1 39.844 (44.418)	Prec@5 70.312 (75.122)
Epoch: [42][11170/14090]	Time 0.765 (0.766)	Data 0.001 (0.001)	Loss 2.0661 (2.2085)	Prec@1 49.219 (44.417)	Prec@5 77.344 (75.121)
Epoch: [42][11180/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 2.1742 (2.2085)	Prec@1 46.094 (44.417)	Prec@5 77.344 (75.122)
Epoch: [42][11190/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.1126 (2.2085)	Prec@1 41.406 (44.416)	Prec@5 72.656 (75.121)
Epoch: [42][11200/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.4201 (2.2085)	Prec@1 42.969 (44.417)	Prec@5 67.188 (75.122)
Epoch: [42][11210/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.1486 (2.2085)	Prec@1 42.969 (44.416)	Prec@5 76.562 (75.121)
Epoch: [42][11220/14090]	Time 0.773 (0.766)	Data 0.001 (0.001)	Loss 2.2173 (2.2084)	Prec@1 42.188 (44.417)	Prec@5 75.000 (75.122)
Epoch: [42][11230/14090]	Time 0.877 (0.766)	Data 0.001 (0.001)	Loss 2.2953 (2.2084)	Prec@1 48.438 (44.417)	Prec@5 73.438 (75.123)
Epoch: [42][11240/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.2826 (2.2084)	Prec@1 43.750 (44.418)	Prec@5 73.438 (75.123)
Epoch: [42][11250/14090]	Time 0.768 (0.766)	Data 0.001 (0.001)	Loss 2.3628 (2.2084)	Prec@1 42.188 (44.418)	Prec@5 70.312 (75.122)
Epoch: [42][11260/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.3139 (2.2085)	Prec@1 39.844 (44.418)	Prec@5 71.875 (75.122)
Epoch: [42][11270/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.1319 (2.2085)	Prec@1 46.875 (44.418)	Prec@5 78.125 (75.120)
Epoch: [42][11280/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 2.2052 (2.2084)	Prec@1 40.625 (44.419)	Prec@5 75.000 (75.121)
Epoch: [42][11290/14090]	Time 0.720 (0.766)	Data 0.001 (0.001)	Loss 2.2488 (2.2084)	Prec@1 39.844 (44.419)	Prec@5 77.344 (75.122)
Epoch: [42][11300/14090]	Time 0.847 (0.766)	Data 0.001 (0.001)	Loss 2.2059 (2.2084)	Prec@1 52.344 (44.420)	Prec@5 76.562 (75.123)
Epoch: [42][11310/14090]	Time 0.772 (0.766)	Data 0.001 (0.001)	Loss 2.4583 (2.2084)	Prec@1 41.406 (44.420)	Prec@5 71.094 (75.121)
Epoch: [42][11320/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.0700 (2.2084)	Prec@1 46.094 (44.420)	Prec@5 76.562 (75.121)
Epoch: [42][11330/14090]	Time 0.724 (0.766)	Data 0.001 (0.001)	Loss 2.3020 (2.2084)	Prec@1 45.312 (44.420)	Prec@5 72.656 (75.119)
Epoch: [42][11340/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.2494 (2.2084)	Prec@1 40.625 (44.419)	Prec@5 75.781 (75.120)
Epoch: [42][11350/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.1225 (2.2083)	Prec@1 46.094 (44.420)	Prec@5 79.688 (75.122)
Epoch: [42][11360/14090]	Time 0.772 (0.766)	Data 0.001 (0.001)	Loss 2.2786 (2.2084)	Prec@1 40.625 (44.417)	Prec@5 74.219 (75.123)
Epoch: [42][11370/14090]	Time 0.867 (0.766)	Data 0.001 (0.001)	Loss 2.2090 (2.2083)	Prec@1 47.656 (44.419)	Prec@5 78.125 (75.124)
Epoch: [42][11380/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.0848 (2.2083)	Prec@1 39.844 (44.417)	Prec@5 80.469 (75.124)
Epoch: [42][11390/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.2053 (2.2084)	Prec@1 46.875 (44.415)	Prec@5 78.906 (75.122)
Epoch: [42][11400/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.1982 (2.2084)	Prec@1 41.406 (44.412)	Prec@5 75.781 (75.123)
Epoch: [42][11410/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.2436 (2.2084)	Prec@1 44.531 (44.413)	Prec@5 79.688 (75.123)
Epoch: [42][11420/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.1568 (2.2085)	Prec@1 52.344 (44.414)	Prec@5 76.562 (75.123)
Epoch: [42][11430/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.3329 (2.2085)	Prec@1 39.062 (44.413)	Prec@5 70.312 (75.121)
Epoch: [42][11440/14090]	Time 0.868 (0.766)	Data 0.001 (0.001)	Loss 1.9923 (2.2086)	Prec@1 46.094 (44.411)	Prec@5 79.688 (75.120)
Epoch: [42][11450/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.1869 (2.2086)	Prec@1 47.656 (44.412)	Prec@5 78.125 (75.121)
Epoch: [42][11460/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.2067 (2.2086)	Prec@1 45.312 (44.412)	Prec@5 72.656 (75.122)
Epoch: [42][11470/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.0297 (2.2087)	Prec@1 51.562 (44.410)	Prec@5 79.688 (75.120)
Epoch: [42][11480/14090]	Time 0.778 (0.766)	Data 0.001 (0.001)	Loss 2.2173 (2.2086)	Prec@1 48.438 (44.413)	Prec@5 75.781 (75.121)
Epoch: [42][11490/14090]	Time 0.782 (0.766)	Data 0.001 (0.001)	Loss 2.2617 (2.2087)	Prec@1 41.406 (44.411)	Prec@5 74.219 (75.121)
Epoch: [42][11500/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 2.0618 (2.2086)	Prec@1 47.656 (44.412)	Prec@5 79.688 (75.122)
Epoch: [42][11510/14090]	Time 0.897 (0.766)	Data 0.001 (0.001)	Loss 2.2914 (2.2087)	Prec@1 48.438 (44.412)	Prec@5 69.531 (75.120)
Epoch: [42][11520/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.5137 (2.2088)	Prec@1 42.188 (44.410)	Prec@5 72.656 (75.119)
Epoch: [42][11530/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.2474 (2.2088)	Prec@1 39.844 (44.411)	Prec@5 75.000 (75.119)
Epoch: [42][11540/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.4264 (2.2088)	Prec@1 38.281 (44.410)	Prec@5 68.750 (75.118)
Epoch: [42][11550/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.0685 (2.2088)	Prec@1 44.531 (44.411)	Prec@5 77.344 (75.119)
Epoch: [42][11560/14090]	Time 0.772 (0.766)	Data 0.001 (0.001)	Loss 2.1987 (2.2088)	Prec@1 42.188 (44.410)	Prec@5 76.562 (75.118)
Epoch: [42][11570/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.3322 (2.2088)	Prec@1 41.406 (44.408)	Prec@5 70.312 (75.118)
Epoch: [42][11580/14090]	Time 0.862 (0.766)	Data 0.001 (0.001)	Loss 2.1057 (2.2089)	Prec@1 46.875 (44.407)	Prec@5 76.562 (75.117)
Epoch: [42][11590/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.5037 (2.2089)	Prec@1 39.062 (44.406)	Prec@5 70.312 (75.116)
Epoch: [42][11600/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.1417 (2.2089)	Prec@1 42.969 (44.407)	Prec@5 78.125 (75.116)
Epoch: [42][11610/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.0346 (2.2088)	Prec@1 42.188 (44.407)	Prec@5 77.344 (75.118)
Epoch: [42][11620/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.2740 (2.2089)	Prec@1 42.188 (44.403)	Prec@5 74.219 (75.115)
Epoch: [42][11630/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 2.2169 (2.2089)	Prec@1 46.875 (44.405)	Prec@5 72.656 (75.115)
Epoch: [42][11640/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.0784 (2.2088)	Prec@1 44.531 (44.405)	Prec@5 78.906 (75.116)
Epoch: [42][11650/14090]	Time 0.900 (0.766)	Data 0.001 (0.001)	Loss 2.0050 (2.2088)	Prec@1 47.656 (44.406)	Prec@5 82.031 (75.119)
Epoch: [42][11660/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.0909 (2.2087)	Prec@1 46.875 (44.407)	Prec@5 75.781 (75.119)
Epoch: [42][11670/14090]	Time 0.777 (0.766)	Data 0.001 (0.001)	Loss 2.6419 (2.2088)	Prec@1 39.062 (44.405)	Prec@5 67.188 (75.117)
Epoch: [42][11680/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 1.9351 (2.2088)	Prec@1 47.656 (44.404)	Prec@5 78.906 (75.118)
Epoch: [42][11690/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.0986 (2.2087)	Prec@1 41.406 (44.404)	Prec@5 75.781 (75.119)
Epoch: [42][11700/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 1.9955 (2.2087)	Prec@1 46.094 (44.406)	Prec@5 82.031 (75.118)
Epoch: [42][11710/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.2521 (2.2087)	Prec@1 46.094 (44.407)	Prec@5 75.000 (75.117)
Epoch: [42][11720/14090]	Time 0.888 (0.766)	Data 0.001 (0.001)	Loss 2.4492 (2.2088)	Prec@1 35.156 (44.404)	Prec@5 73.438 (75.115)
Epoch: [42][11730/14090]	Time 0.778 (0.766)	Data 0.001 (0.001)	Loss 1.9778 (2.2088)	Prec@1 46.875 (44.403)	Prec@5 81.250 (75.116)
Epoch: [42][11740/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.4077 (2.2088)	Prec@1 42.969 (44.403)	Prec@5 74.219 (75.115)
Epoch: [42][11750/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.3779 (2.2088)	Prec@1 42.969 (44.404)	Prec@5 67.188 (75.115)
Epoch: [42][11760/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 2.3384 (2.2089)	Prec@1 38.281 (44.403)	Prec@5 77.344 (75.114)
Epoch: [42][11770/14090]	Time 0.769 (0.766)	Data 0.001 (0.001)	Loss 2.1913 (2.2090)	Prec@1 45.312 (44.403)	Prec@5 76.562 (75.113)
Epoch: [42][11780/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.1596 (2.2090)	Prec@1 44.531 (44.403)	Prec@5 73.438 (75.114)
Epoch: [42][11790/14090]	Time 0.888 (0.766)	Data 0.001 (0.001)	Loss 2.2447 (2.2089)	Prec@1 42.188 (44.404)	Prec@5 74.219 (75.114)
Epoch: [42][11800/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.3168 (2.2089)	Prec@1 42.188 (44.404)	Prec@5 69.531 (75.115)
Epoch: [42][11810/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.2058 (2.2089)	Prec@1 45.312 (44.404)	Prec@5 74.219 (75.116)
Epoch: [42][11820/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.4069 (2.2090)	Prec@1 39.062 (44.402)	Prec@5 69.531 (75.115)
Epoch: [42][11830/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.3376 (2.2090)	Prec@1 41.406 (44.402)	Prec@5 74.219 (75.114)
Epoch: [42][11840/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.0579 (2.2090)	Prec@1 49.219 (44.401)	Prec@5 78.125 (75.115)
Epoch: [42][11850/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.2796 (2.2090)	Prec@1 37.500 (44.400)	Prec@5 71.875 (75.114)
Epoch: [42][11860/14090]	Time 0.880 (0.766)	Data 0.001 (0.001)	Loss 2.4136 (2.2091)	Prec@1 40.625 (44.400)	Prec@5 71.875 (75.113)
Epoch: [42][11870/14090]	Time 0.765 (0.766)	Data 0.001 (0.001)	Loss 2.0508 (2.2090)	Prec@1 50.000 (44.403)	Prec@5 78.906 (75.114)
Epoch: [42][11880/14090]	Time 0.773 (0.766)	Data 0.001 (0.001)	Loss 2.0555 (2.2089)	Prec@1 49.219 (44.404)	Prec@5 81.250 (75.116)
Epoch: [42][11890/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 1.9784 (2.2089)	Prec@1 44.531 (44.403)	Prec@5 76.562 (75.115)
Epoch: [42][11900/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.1141 (2.2089)	Prec@1 47.656 (44.405)	Prec@5 76.562 (75.116)
Epoch: [42][11910/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.2560 (2.2089)	Prec@1 44.531 (44.406)	Prec@5 75.000 (75.116)
Epoch: [42][11920/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.4192 (2.2089)	Prec@1 42.188 (44.407)	Prec@5 71.094 (75.116)
Epoch: [42][11930/14090]	Time 0.915 (0.766)	Data 0.001 (0.001)	Loss 2.2733 (2.2089)	Prec@1 40.625 (44.406)	Prec@5 78.125 (75.115)
Epoch: [42][11940/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.1804 (2.2090)	Prec@1 46.875 (44.405)	Prec@5 78.125 (75.113)
Epoch: [42][11950/14090]	Time 0.722 (0.766)	Data 0.001 (0.001)	Loss 2.2263 (2.2090)	Prec@1 44.531 (44.405)	Prec@5 72.656 (75.113)
Epoch: [42][11960/14090]	Time 0.778 (0.766)	Data 0.001 (0.001)	Loss 2.3085 (2.2090)	Prec@1 45.312 (44.403)	Prec@5 72.656 (75.113)
Epoch: [42][11970/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.2095 (2.2091)	Prec@1 39.062 (44.401)	Prec@5 76.562 (75.112)
Epoch: [42][11980/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.4035 (2.2092)	Prec@1 40.625 (44.400)	Prec@5 71.094 (75.109)
Epoch: [42][11990/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.0762 (2.2092)	Prec@1 49.219 (44.401)	Prec@5 78.125 (75.108)
Epoch: [42][12000/14090]	Time 0.855 (0.766)	Data 0.001 (0.001)	Loss 2.3099 (2.2092)	Prec@1 39.844 (44.401)	Prec@5 72.656 (75.109)
Epoch: [42][12010/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.4131 (2.2092)	Prec@1 39.062 (44.401)	Prec@5 71.875 (75.109)
Epoch: [42][12020/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 2.4780 (2.2092)	Prec@1 34.375 (44.400)	Prec@5 69.531 (75.109)
Epoch: [42][12030/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.2425 (2.2093)	Prec@1 42.969 (44.399)	Prec@5 75.000 (75.108)
Epoch: [42][12040/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.2092 (2.2093)	Prec@1 39.844 (44.399)	Prec@5 75.000 (75.108)
Epoch: [42][12050/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.0241 (2.2093)	Prec@1 46.875 (44.399)	Prec@5 78.125 (75.109)
Epoch: [42][12060/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.3906 (2.2093)	Prec@1 42.969 (44.400)	Prec@5 71.094 (75.108)
Epoch: [42][12070/14090]	Time 0.875 (0.766)	Data 0.001 (0.001)	Loss 2.0624 (2.2093)	Prec@1 52.344 (44.401)	Prec@5 78.906 (75.107)
Epoch: [42][12080/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.5217 (2.2093)	Prec@1 40.625 (44.401)	Prec@5 65.625 (75.107)
Epoch: [42][12090/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 1.9694 (2.2093)	Prec@1 46.094 (44.401)	Prec@5 82.812 (75.109)
Epoch: [42][12100/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.1904 (2.2093)	Prec@1 45.312 (44.401)	Prec@5 75.000 (75.108)
Epoch: [42][12110/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.1269 (2.2092)	Prec@1 47.656 (44.402)	Prec@5 79.688 (75.109)
Epoch: [42][12120/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 2.0332 (2.2092)	Prec@1 45.312 (44.401)	Prec@5 82.031 (75.109)
Epoch: [42][12130/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.4313 (2.2092)	Prec@1 40.625 (44.401)	Prec@5 72.656 (75.109)
Epoch: [42][12140/14090]	Time 0.868 (0.766)	Data 0.001 (0.001)	Loss 2.5128 (2.2093)	Prec@1 39.062 (44.401)	Prec@5 71.094 (75.108)
Epoch: [42][12150/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.2522 (2.2092)	Prec@1 44.531 (44.402)	Prec@5 78.125 (75.111)
Epoch: [42][12160/14090]	Time 0.781 (0.766)	Data 0.001 (0.001)	Loss 2.4754 (2.2092)	Prec@1 36.719 (44.402)	Prec@5 68.750 (75.110)
Epoch: [42][12170/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.4286 (2.2092)	Prec@1 46.094 (44.402)	Prec@5 69.531 (75.110)
Epoch: [42][12180/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 2.3027 (2.2092)	Prec@1 45.312 (44.403)	Prec@5 68.750 (75.111)
Epoch: [42][12190/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.3866 (2.2091)	Prec@1 43.750 (44.404)	Prec@5 68.750 (75.111)
Epoch: [42][12200/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 1.9765 (2.2091)	Prec@1 50.000 (44.403)	Prec@5 77.344 (75.112)
Epoch: [42][12210/14090]	Time 0.850 (0.766)	Data 0.001 (0.001)	Loss 2.4014 (2.2092)	Prec@1 39.844 (44.400)	Prec@5 71.875 (75.110)
Epoch: [42][12220/14090]	Time 0.781 (0.766)	Data 0.001 (0.001)	Loss 2.1163 (2.2092)	Prec@1 44.531 (44.400)	Prec@5 75.000 (75.109)
Epoch: [42][12230/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.3128 (2.2092)	Prec@1 46.094 (44.401)	Prec@5 74.219 (75.109)
Epoch: [42][12240/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.1132 (2.2092)	Prec@1 45.312 (44.400)	Prec@5 80.469 (75.109)
Epoch: [42][12250/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.1359 (2.2092)	Prec@1 44.531 (44.400)	Prec@5 75.781 (75.109)
Epoch: [42][12260/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.5510 (2.2093)	Prec@1 41.406 (44.400)	Prec@5 67.188 (75.107)
Epoch: [42][12270/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 1.9714 (2.2093)	Prec@1 48.438 (44.399)	Prec@5 78.125 (75.108)
Epoch: [42][12280/14090]	Time 0.911 (0.766)	Data 0.001 (0.001)	Loss 2.1571 (2.2092)	Prec@1 44.531 (44.402)	Prec@5 78.906 (75.109)
Epoch: [42][12290/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.1896 (2.2092)	Prec@1 40.625 (44.402)	Prec@5 77.344 (75.110)
Epoch: [42][12300/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.2970 (2.2091)	Prec@1 44.531 (44.402)	Prec@5 71.875 (75.111)
Epoch: [42][12310/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.1128 (2.2091)	Prec@1 48.438 (44.402)	Prec@5 80.469 (75.111)
Epoch: [42][12320/14090]	Time 0.722 (0.766)	Data 0.001 (0.001)	Loss 1.8370 (2.2091)	Prec@1 55.469 (44.403)	Prec@5 79.688 (75.112)
Epoch: [42][12330/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.2460 (2.2091)	Prec@1 43.750 (44.403)	Prec@5 77.344 (75.110)
Epoch: [42][12340/14090]	Time 0.724 (0.766)	Data 0.001 (0.001)	Loss 2.4124 (2.2091)	Prec@1 42.188 (44.403)	Prec@5 71.094 (75.110)
Epoch: [42][12350/14090]	Time 0.835 (0.766)	Data 0.001 (0.001)	Loss 2.1709 (2.2092)	Prec@1 46.094 (44.402)	Prec@5 75.781 (75.109)
Epoch: [42][12360/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.4690 (2.2091)	Prec@1 39.062 (44.402)	Prec@5 67.969 (75.108)
Epoch: [42][12370/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 2.3468 (2.2092)	Prec@1 38.281 (44.401)	Prec@5 68.750 (75.106)
Epoch: [42][12380/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.2473 (2.2092)	Prec@1 45.312 (44.403)	Prec@5 74.219 (75.108)
Epoch: [42][12390/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.4000 (2.2092)	Prec@1 41.406 (44.402)	Prec@5 71.094 (75.108)
Epoch: [42][12400/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 1.9483 (2.2092)	Prec@1 48.438 (44.400)	Prec@5 80.469 (75.106)
Epoch: [42][12410/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.3513 (2.2092)	Prec@1 39.844 (44.400)	Prec@5 71.875 (75.107)
Epoch: [42][12420/14090]	Time 0.862 (0.766)	Data 0.001 (0.001)	Loss 1.9743 (2.2092)	Prec@1 47.656 (44.400)	Prec@5 82.031 (75.106)
Epoch: [42][12430/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.2107 (2.2091)	Prec@1 48.438 (44.401)	Prec@5 73.438 (75.107)
Epoch: [42][12440/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.1040 (2.2091)	Prec@1 49.219 (44.402)	Prec@5 76.562 (75.107)
Epoch: [42][12450/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.0975 (2.2091)	Prec@1 50.000 (44.402)	Prec@5 76.562 (75.108)
Epoch: [42][12460/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.2756 (2.2091)	Prec@1 44.531 (44.403)	Prec@5 72.656 (75.108)
Epoch: [42][12470/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.1936 (2.2090)	Prec@1 42.969 (44.404)	Prec@5 74.219 (75.110)
Epoch: [42][12480/14090]	Time 0.761 (0.766)	Data 0.004 (0.001)	Loss 2.1610 (2.2091)	Prec@1 50.781 (44.403)	Prec@5 76.562 (75.110)
Epoch: [42][12490/14090]	Time 0.902 (0.766)	Data 0.001 (0.001)	Loss 2.1384 (2.2090)	Prec@1 50.000 (44.406)	Prec@5 78.906 (75.112)
Epoch: [42][12500/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.2986 (2.2091)	Prec@1 38.281 (44.404)	Prec@5 75.000 (75.109)
Epoch: [42][12510/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.1639 (2.2091)	Prec@1 50.781 (44.404)	Prec@5 71.875 (75.109)
Epoch: [42][12520/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 1.9833 (2.2091)	Prec@1 53.906 (44.405)	Prec@5 78.125 (75.109)
Epoch: [42][12530/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.2514 (2.2091)	Prec@1 46.875 (44.405)	Prec@5 76.562 (75.109)
Epoch: [42][12540/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.4247 (2.2091)	Prec@1 41.406 (44.406)	Prec@5 66.406 (75.109)
Epoch: [42][12550/14090]	Time 0.811 (0.766)	Data 0.001 (0.001)	Loss 2.4498 (2.2092)	Prec@1 40.625 (44.405)	Prec@5 72.656 (75.106)
Epoch: [42][12560/14090]	Time 0.891 (0.766)	Data 0.001 (0.001)	Loss 2.2873 (2.2092)	Prec@1 42.969 (44.406)	Prec@5 74.219 (75.107)
Epoch: [42][12570/14090]	Time 0.724 (0.766)	Data 0.001 (0.001)	Loss 2.1057 (2.2092)	Prec@1 43.750 (44.405)	Prec@5 76.562 (75.107)
Epoch: [42][12580/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.3133 (2.2091)	Prec@1 43.750 (44.407)	Prec@5 74.219 (75.108)
Epoch: [42][12590/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.0817 (2.2091)	Prec@1 49.219 (44.407)	Prec@5 75.781 (75.107)
Epoch: [42][12600/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.5528 (2.2092)	Prec@1 43.750 (44.407)	Prec@5 70.312 (75.108)
Epoch: [42][12610/14090]	Time 0.724 (0.766)	Data 0.001 (0.001)	Loss 2.3709 (2.2091)	Prec@1 40.625 (44.408)	Prec@5 73.438 (75.107)
Epoch: [42][12620/14090]	Time 0.791 (0.766)	Data 0.001 (0.001)	Loss 2.5231 (2.2092)	Prec@1 39.844 (44.407)	Prec@5 68.750 (75.106)
Epoch: [42][12630/14090]	Time 0.861 (0.766)	Data 0.001 (0.001)	Loss 2.1691 (2.2092)	Prec@1 45.312 (44.406)	Prec@5 75.000 (75.106)
Epoch: [42][12640/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.1073 (2.2091)	Prec@1 49.219 (44.409)	Prec@5 78.125 (75.107)
Epoch: [42][12650/14090]	Time 0.757 (0.766)	Data 0.003 (0.001)	Loss 2.2212 (2.2091)	Prec@1 44.531 (44.411)	Prec@5 80.469 (75.107)
Epoch: [42][12660/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.3369 (2.2091)	Prec@1 43.750 (44.410)	Prec@5 76.562 (75.107)
Epoch: [42][12670/14090]	Time 0.789 (0.766)	Data 0.001 (0.001)	Loss 2.2767 (2.2092)	Prec@1 46.094 (44.409)	Prec@5 72.656 (75.107)
Epoch: [42][12680/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 1.9899 (2.2092)	Prec@1 51.562 (44.410)	Prec@5 76.562 (75.106)
Epoch: [42][12690/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.5671 (2.2092)	Prec@1 31.250 (44.408)	Prec@5 68.750 (75.105)
Epoch: [42][12700/14090]	Time 0.885 (0.766)	Data 0.001 (0.001)	Loss 2.0826 (2.2091)	Prec@1 48.438 (44.411)	Prec@5 78.125 (75.107)
Epoch: [42][12710/14090]	Time 0.773 (0.766)	Data 0.001 (0.001)	Loss 2.2084 (2.2091)	Prec@1 43.750 (44.412)	Prec@5 72.656 (75.108)
Epoch: [42][12720/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 2.1847 (2.2091)	Prec@1 47.656 (44.412)	Prec@5 78.125 (75.108)
Epoch: [42][12730/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.3760 (2.2091)	Prec@1 42.969 (44.412)	Prec@5 73.438 (75.107)
Epoch: [42][12740/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.1738 (2.2092)	Prec@1 39.062 (44.411)	Prec@5 79.688 (75.106)
Epoch: [42][12750/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.0365 (2.2092)	Prec@1 48.438 (44.412)	Prec@5 76.562 (75.106)
Epoch: [42][12760/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.1084 (2.2091)	Prec@1 39.062 (44.412)	Prec@5 81.250 (75.107)
Epoch: [42][12770/14090]	Time 0.842 (0.766)	Data 0.001 (0.001)	Loss 1.9551 (2.2091)	Prec@1 46.875 (44.411)	Prec@5 79.688 (75.108)
Epoch: [42][12780/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.1841 (2.2092)	Prec@1 43.750 (44.410)	Prec@5 78.125 (75.106)
Epoch: [42][12790/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.2687 (2.2091)	Prec@1 42.969 (44.410)	Prec@5 69.531 (75.107)
Epoch: [42][12800/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.2157 (2.2092)	Prec@1 49.219 (44.409)	Prec@5 71.094 (75.106)
Epoch: [42][12810/14090]	Time 0.773 (0.766)	Data 0.001 (0.001)	Loss 2.1591 (2.2092)	Prec@1 46.875 (44.408)	Prec@5 79.688 (75.105)
Epoch: [42][12820/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.1625 (2.2093)	Prec@1 46.094 (44.408)	Prec@5 73.438 (75.104)
Epoch: [42][12830/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.4166 (2.2093)	Prec@1 35.156 (44.407)	Prec@5 75.000 (75.103)
Epoch: [42][12840/14090]	Time 0.873 (0.766)	Data 0.001 (0.001)	Loss 1.8641 (2.2093)	Prec@1 54.688 (44.408)	Prec@5 78.906 (75.105)
Epoch: [42][12850/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.2119 (2.2093)	Prec@1 40.625 (44.406)	Prec@5 74.219 (75.103)
Epoch: [42][12860/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 1.9786 (2.2093)	Prec@1 47.656 (44.406)	Prec@5 82.812 (75.104)
Epoch: [42][12870/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.0579 (2.2093)	Prec@1 49.219 (44.406)	Prec@5 76.562 (75.105)
Epoch: [42][12880/14090]	Time 0.780 (0.766)	Data 0.001 (0.001)	Loss 2.0350 (2.2093)	Prec@1 49.219 (44.407)	Prec@5 75.000 (75.104)
Epoch: [42][12890/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.1982 (2.2092)	Prec@1 45.312 (44.408)	Prec@5 75.000 (75.105)
Epoch: [42][12900/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.0205 (2.2092)	Prec@1 47.656 (44.409)	Prec@5 77.344 (75.106)
Epoch: [42][12910/14090]	Time 0.878 (0.766)	Data 0.001 (0.001)	Loss 2.0999 (2.2092)	Prec@1 47.656 (44.410)	Prec@5 79.688 (75.106)
Epoch: [42][12920/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.1873 (2.2092)	Prec@1 45.312 (44.410)	Prec@5 69.531 (75.105)
Epoch: [42][12930/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 2.0334 (2.2091)	Prec@1 49.219 (44.411)	Prec@5 75.000 (75.105)
Epoch: [42][12940/14090]	Time 0.776 (0.766)	Data 0.001 (0.001)	Loss 2.3937 (2.2091)	Prec@1 41.406 (44.411)	Prec@5 71.094 (75.105)
Epoch: [42][12950/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 1.8996 (2.2091)	Prec@1 46.094 (44.411)	Prec@5 82.812 (75.106)
Epoch: [42][12960/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.0491 (2.2091)	Prec@1 46.875 (44.410)	Prec@5 71.875 (75.105)
Epoch: [42][12970/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.3560 (2.2091)	Prec@1 46.094 (44.410)	Prec@5 74.219 (75.106)
Epoch: [42][12980/14090]	Time 0.823 (0.766)	Data 0.001 (0.001)	Loss 2.2643 (2.2091)	Prec@1 44.531 (44.411)	Prec@5 77.344 (75.106)
Epoch: [42][12990/14090]	Time 0.768 (0.766)	Data 0.001 (0.001)	Loss 2.0951 (2.2091)	Prec@1 43.750 (44.410)	Prec@5 78.125 (75.106)
Epoch: [42][13000/14090]	Time 0.781 (0.766)	Data 0.001 (0.001)	Loss 2.3304 (2.2092)	Prec@1 40.625 (44.408)	Prec@5 78.906 (75.106)
Epoch: [42][13010/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.3459 (2.2092)	Prec@1 42.969 (44.408)	Prec@5 68.750 (75.104)
Epoch: [42][13020/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.0229 (2.2092)	Prec@1 43.750 (44.408)	Prec@5 79.688 (75.104)
Epoch: [42][13030/14090]	Time 0.774 (0.766)	Data 0.001 (0.001)	Loss 2.1231 (2.2092)	Prec@1 46.094 (44.408)	Prec@5 76.562 (75.104)
Epoch: [42][13040/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.2605 (2.2093)	Prec@1 41.406 (44.407)	Prec@5 73.438 (75.102)
Epoch: [42][13050/14090]	Time 0.881 (0.766)	Data 0.001 (0.001)	Loss 2.3343 (2.2093)	Prec@1 38.281 (44.405)	Prec@5 75.781 (75.101)
Epoch: [42][13060/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.0207 (2.2092)	Prec@1 47.656 (44.407)	Prec@5 77.344 (75.103)
Epoch: [42][13070/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.3240 (2.2093)	Prec@1 46.094 (44.407)	Prec@5 69.531 (75.101)
Epoch: [42][13080/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.4585 (2.2093)	Prec@1 35.156 (44.406)	Prec@5 67.969 (75.100)
Epoch: [42][13090/14090]	Time 0.800 (0.766)	Data 0.001 (0.001)	Loss 2.3314 (2.2094)	Prec@1 42.969 (44.407)	Prec@5 75.000 (75.099)
Epoch: [42][13100/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 2.3163 (2.2094)	Prec@1 40.625 (44.406)	Prec@5 76.562 (75.099)
Epoch: [42][13110/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 2.2606 (2.2094)	Prec@1 50.000 (44.407)	Prec@5 72.656 (75.098)
Epoch: [42][13120/14090]	Time 0.942 (0.766)	Data 0.001 (0.001)	Loss 2.3732 (2.2094)	Prec@1 40.625 (44.408)	Prec@5 69.531 (75.096)
Epoch: [42][13130/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.3845 (2.2094)	Prec@1 41.406 (44.407)	Prec@5 73.438 (75.098)
Epoch: [42][13140/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.0412 (2.2093)	Prec@1 47.656 (44.407)	Prec@5 75.000 (75.098)
Epoch: [42][13150/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.4014 (2.2093)	Prec@1 40.625 (44.407)	Prec@5 71.875 (75.098)
Epoch: [42][13160/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 2.1222 (2.2094)	Prec@1 45.312 (44.406)	Prec@5 78.906 (75.097)
Epoch: [42][13170/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.1294 (2.2093)	Prec@1 46.094 (44.406)	Prec@5 83.594 (75.099)
Epoch: [42][13180/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 2.0199 (2.2093)	Prec@1 46.875 (44.406)	Prec@5 78.906 (75.099)
Epoch: [42][13190/14090]	Time 0.911 (0.766)	Data 0.001 (0.001)	Loss 2.2639 (2.2093)	Prec@1 41.406 (44.406)	Prec@5 73.438 (75.099)
Epoch: [42][13200/14090]	Time 0.723 (0.766)	Data 0.001 (0.001)	Loss 2.2546 (2.2092)	Prec@1 42.969 (44.408)	Prec@5 72.656 (75.099)
Epoch: [42][13210/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.0544 (2.2093)	Prec@1 50.000 (44.408)	Prec@5 75.000 (75.099)
Epoch: [42][13220/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.2313 (2.2092)	Prec@1 43.750 (44.407)	Prec@5 75.781 (75.099)
Epoch: [42][13230/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.0609 (2.2092)	Prec@1 49.219 (44.408)	Prec@5 75.781 (75.100)
Epoch: [42][13240/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 1.9479 (2.2091)	Prec@1 53.906 (44.409)	Prec@5 78.125 (75.100)
Epoch: [42][13250/14090]	Time 0.779 (0.766)	Data 0.001 (0.001)	Loss 2.4992 (2.2092)	Prec@1 42.969 (44.408)	Prec@5 68.750 (75.099)
Epoch: [42][13260/14090]	Time 0.859 (0.766)	Data 0.001 (0.001)	Loss 2.1577 (2.2092)	Prec@1 40.625 (44.408)	Prec@5 78.125 (75.099)
Epoch: [42][13270/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.2254 (2.2092)	Prec@1 46.875 (44.409)	Prec@5 73.438 (75.099)
Epoch: [42][13280/14090]	Time 0.752 (0.766)	Data 0.002 (0.001)	Loss 2.2467 (2.2092)	Prec@1 44.531 (44.409)	Prec@5 71.875 (75.099)
Epoch: [42][13290/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 2.1547 (2.2092)	Prec@1 43.750 (44.410)	Prec@5 81.250 (75.100)
Epoch: [42][13300/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 2.0163 (2.2091)	Prec@1 42.188 (44.410)	Prec@5 78.125 (75.100)
Epoch: [42][13310/14090]	Time 0.765 (0.766)	Data 0.001 (0.001)	Loss 2.0029 (2.2091)	Prec@1 50.000 (44.412)	Prec@5 79.688 (75.101)
Epoch: [42][13320/14090]	Time 0.772 (0.766)	Data 0.001 (0.001)	Loss 2.3368 (2.2090)	Prec@1 44.531 (44.413)	Prec@5 75.000 (75.101)
Epoch: [42][13330/14090]	Time 0.842 (0.766)	Data 0.001 (0.001)	Loss 1.8703 (2.2090)	Prec@1 53.906 (44.412)	Prec@5 77.344 (75.101)
Epoch: [42][13340/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.0201 (2.2090)	Prec@1 46.875 (44.411)	Prec@5 76.562 (75.103)
Epoch: [42][13350/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 1.9357 (2.2090)	Prec@1 48.438 (44.409)	Prec@5 81.250 (75.100)
Epoch: [42][13360/14090]	Time 0.768 (0.766)	Data 0.001 (0.001)	Loss 2.1748 (2.2091)	Prec@1 42.188 (44.408)	Prec@5 77.344 (75.100)
Epoch: [42][13370/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 2.3921 (2.2091)	Prec@1 45.312 (44.408)	Prec@5 69.531 (75.099)
Epoch: [42][13380/14090]	Time 0.765 (0.766)	Data 0.001 (0.001)	Loss 2.1910 (2.2092)	Prec@1 46.094 (44.407)	Prec@5 76.562 (75.098)
Epoch: [42][13390/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.0398 (2.2092)	Prec@1 48.438 (44.408)	Prec@5 75.000 (75.098)
Epoch: [42][13400/14090]	Time 0.889 (0.766)	Data 0.001 (0.001)	Loss 2.2998 (2.2091)	Prec@1 41.406 (44.408)	Prec@5 76.562 (75.097)
Epoch: [42][13410/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.4755 (2.2092)	Prec@1 39.844 (44.405)	Prec@5 74.219 (75.095)
Epoch: [42][13420/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.0755 (2.2092)	Prec@1 47.656 (44.406)	Prec@5 75.000 (75.096)
Epoch: [42][13430/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.1526 (2.2092)	Prec@1 44.531 (44.407)	Prec@5 78.906 (75.097)
Epoch: [42][13440/14090]	Time 0.767 (0.766)	Data 0.001 (0.001)	Loss 2.2302 (2.2092)	Prec@1 44.531 (44.407)	Prec@5 75.781 (75.097)
Epoch: [42][13450/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.2684 (2.2092)	Prec@1 41.406 (44.405)	Prec@5 75.000 (75.097)
Epoch: [42][13460/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.2350 (2.2092)	Prec@1 49.219 (44.404)	Prec@5 75.000 (75.098)
Epoch: [42][13470/14090]	Time 1.032 (0.766)	Data 0.001 (0.001)	Loss 2.1903 (2.2092)	Prec@1 42.969 (44.404)	Prec@5 76.562 (75.098)
Epoch: [42][13480/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 1.9111 (2.2092)	Prec@1 46.875 (44.405)	Prec@5 82.812 (75.097)
Epoch: [42][13490/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.3049 (2.2092)	Prec@1 36.719 (44.404)	Prec@5 75.000 (75.097)
Epoch: [42][13500/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.2026 (2.2093)	Prec@1 42.969 (44.403)	Prec@5 76.562 (75.096)
Epoch: [42][13510/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.1523 (2.2092)	Prec@1 39.844 (44.403)	Prec@5 77.344 (75.096)
Epoch: [42][13520/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.2561 (2.2093)	Prec@1 43.750 (44.403)	Prec@5 70.312 (75.096)
Epoch: [42][13530/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 2.1816 (2.2092)	Prec@1 37.500 (44.402)	Prec@5 76.562 (75.097)
Epoch: [42][13540/14090]	Time 0.848 (0.766)	Data 0.001 (0.001)	Loss 2.0643 (2.2093)	Prec@1 46.094 (44.400)	Prec@5 76.562 (75.095)
Epoch: [42][13550/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.0416 (2.2093)	Prec@1 46.094 (44.401)	Prec@5 71.875 (75.094)
Epoch: [42][13560/14090]	Time 0.722 (0.766)	Data 0.001 (0.001)	Loss 2.0023 (2.2092)	Prec@1 50.781 (44.401)	Prec@5 79.688 (75.094)
Epoch: [42][13570/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 1.9419 (2.2092)	Prec@1 50.000 (44.401)	Prec@5 81.250 (75.095)
Epoch: [42][13580/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.1443 (2.2092)	Prec@1 49.219 (44.400)	Prec@5 71.875 (75.094)
Epoch: [42][13590/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.5508 (2.2092)	Prec@1 38.281 (44.401)	Prec@5 70.312 (75.095)
Epoch: [42][13600/14090]	Time 0.720 (0.766)	Data 0.001 (0.001)	Loss 2.2723 (2.2092)	Prec@1 39.062 (44.401)	Prec@5 75.000 (75.095)
Epoch: [42][13610/14090]	Time 0.854 (0.766)	Data 0.001 (0.001)	Loss 1.9804 (2.2092)	Prec@1 46.875 (44.402)	Prec@5 78.125 (75.095)
Epoch: [42][13620/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.4212 (2.2092)	Prec@1 37.500 (44.403)	Prec@5 66.406 (75.096)
Epoch: [42][13630/14090]	Time 0.777 (0.766)	Data 0.001 (0.001)	Loss 2.2570 (2.2092)	Prec@1 45.312 (44.402)	Prec@5 70.312 (75.097)
Epoch: [42][13640/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.1766 (2.2093)	Prec@1 43.750 (44.401)	Prec@5 77.344 (75.096)
Epoch: [42][13650/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.2124 (2.2092)	Prec@1 41.406 (44.400)	Prec@5 74.219 (75.097)
Epoch: [42][13660/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 2.1071 (2.2093)	Prec@1 44.531 (44.400)	Prec@5 77.344 (75.096)
Epoch: [42][13670/14090]	Time 0.778 (0.766)	Data 0.001 (0.001)	Loss 2.0501 (2.2093)	Prec@1 39.844 (44.398)	Prec@5 79.688 (75.097)
Epoch: [42][13680/14090]	Time 0.886 (0.766)	Data 0.001 (0.001)	Loss 2.1624 (2.2092)	Prec@1 46.094 (44.399)	Prec@5 75.000 (75.097)
Epoch: [42][13690/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.2982 (2.2093)	Prec@1 42.188 (44.398)	Prec@5 71.875 (75.095)
Epoch: [42][13700/14090]	Time 0.780 (0.766)	Data 0.001 (0.001)	Loss 2.1020 (2.2093)	Prec@1 46.875 (44.398)	Prec@5 78.906 (75.094)
Epoch: [42][13710/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 2.3488 (2.2093)	Prec@1 48.438 (44.398)	Prec@5 71.875 (75.094)
Epoch: [42][13720/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.0631 (2.2092)	Prec@1 47.656 (44.398)	Prec@5 77.344 (75.095)
Epoch: [42][13730/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.4341 (2.2093)	Prec@1 39.062 (44.398)	Prec@5 67.969 (75.095)
Epoch: [42][13740/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.0038 (2.2092)	Prec@1 47.656 (44.399)	Prec@5 81.250 (75.097)
Epoch: [42][13750/14090]	Time 0.878 (0.766)	Data 0.001 (0.001)	Loss 1.9460 (2.2093)	Prec@1 49.219 (44.398)	Prec@5 73.438 (75.096)
Epoch: [42][13760/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.2828 (2.2093)	Prec@1 44.531 (44.399)	Prec@5 72.656 (75.096)
Epoch: [42][13770/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.1205 (2.2093)	Prec@1 48.438 (44.398)	Prec@5 77.344 (75.095)
Epoch: [42][13780/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.2940 (2.2093)	Prec@1 49.219 (44.398)	Prec@5 72.656 (75.094)
Epoch: [42][13790/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.0792 (2.2093)	Prec@1 45.312 (44.398)	Prec@5 78.906 (75.094)
Epoch: [42][13800/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.2770 (2.2093)	Prec@1 38.281 (44.399)	Prec@5 75.781 (75.095)
Epoch: [42][13810/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.1947 (2.2093)	Prec@1 46.875 (44.399)	Prec@5 78.125 (75.094)
Epoch: [42][13820/14090]	Time 0.865 (0.766)	Data 0.001 (0.001)	Loss 2.0658 (2.2093)	Prec@1 52.344 (44.399)	Prec@5 77.344 (75.094)
Epoch: [42][13830/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.2067 (2.2093)	Prec@1 46.094 (44.400)	Prec@5 73.438 (75.093)
Epoch: [42][13840/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 1.9708 (2.2093)	Prec@1 50.000 (44.402)	Prec@5 82.812 (75.094)
Epoch: [42][13850/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.2741 (2.2093)	Prec@1 36.719 (44.402)	Prec@5 74.219 (75.095)
Epoch: [42][13860/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.2430 (2.2093)	Prec@1 42.188 (44.400)	Prec@5 72.656 (75.094)
Epoch: [42][13870/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 2.0936 (2.2093)	Prec@1 50.781 (44.400)	Prec@5 76.562 (75.093)
Epoch: [42][13880/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.3587 (2.2093)	Prec@1 42.969 (44.400)	Prec@5 71.875 (75.093)
Epoch: [42][13890/14090]	Time 0.873 (0.766)	Data 0.001 (0.001)	Loss 2.2176 (2.2093)	Prec@1 48.438 (44.400)	Prec@5 75.000 (75.093)
Epoch: [42][13900/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 2.0620 (2.2093)	Prec@1 49.219 (44.399)	Prec@5 75.781 (75.093)
Epoch: [42][13910/14090]	Time 0.780 (0.766)	Data 0.001 (0.001)	Loss 2.4173 (2.2093)	Prec@1 43.750 (44.398)	Prec@5 70.312 (75.092)
Epoch: [42][13920/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.2286 (2.2093)	Prec@1 41.406 (44.398)	Prec@5 74.219 (75.093)
Epoch: [42][13930/14090]	Time 0.767 (0.766)	Data 0.001 (0.001)	Loss 2.1559 (2.2093)	Prec@1 46.875 (44.399)	Prec@5 77.344 (75.094)
Epoch: [42][13940/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.2349 (2.2093)	Prec@1 47.656 (44.398)	Prec@5 72.656 (75.094)
Epoch: [42][13950/14090]	Time 0.772 (0.766)	Data 0.001 (0.001)	Loss 2.2711 (2.2093)	Prec@1 39.844 (44.398)	Prec@5 72.656 (75.092)
Epoch: [42][13960/14090]	Time 0.862 (0.766)	Data 0.001 (0.001)	Loss 2.0021 (2.2093)	Prec@1 53.906 (44.399)	Prec@5 80.469 (75.092)
Epoch: [42][13970/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 1.9070 (2.2093)	Prec@1 46.094 (44.400)	Prec@5 77.344 (75.093)
Epoch: [42][13980/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.2641 (2.2092)	Prec@1 44.531 (44.400)	Prec@5 75.781 (75.092)
Epoch: [42][13990/14090]	Time 0.721 (0.766)	Data 0.001 (0.001)	Loss 2.2601 (2.2093)	Prec@1 40.625 (44.400)	Prec@5 74.219 (75.092)
Epoch: [42][14000/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.4301 (2.2093)	Prec@1 37.500 (44.400)	Prec@5 73.438 (75.092)
Epoch: [42][14010/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.3324 (2.2093)	Prec@1 39.844 (44.398)	Prec@5 74.219 (75.090)
Epoch: [42][14020/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 1.9846 (2.2093)	Prec@1 48.438 (44.398)	Prec@5 77.344 (75.090)
Epoch: [42][14030/14090]	Time 0.884 (0.766)	Data 0.001 (0.001)	Loss 2.3359 (2.2093)	Prec@1 38.281 (44.399)	Prec@5 71.094 (75.090)
Epoch: [42][14040/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.3374 (2.2092)	Prec@1 44.531 (44.399)	Prec@5 71.094 (75.089)
Epoch: [42][14050/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 2.1600 (2.2093)	Prec@1 47.656 (44.399)	Prec@5 75.781 (75.089)
Epoch: [42][14060/14090]	Time 0.770 (0.766)	Data 0.001 (0.001)	Loss 2.2236 (2.2093)	Prec@1 44.531 (44.399)	Prec@5 75.781 (75.088)
Epoch: [42][14070/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 2.1537 (2.2093)	Prec@1 48.438 (44.400)	Prec@5 78.125 (75.089)
Epoch: [42][14080/14090]	Time 0.730 (0.766)	Data 0.000 (0.001)	Loss 2.4219 (2.2094)	Prec@1 41.406 (44.399)	Prec@5 71.094 (75.087)
Test: [0/286]	Time 4.170 (4.170)	Loss 1.5856 (1.5856)	Prec@1 49.219 (49.219)	Prec@5 93.750 (93.750)
Test: [10/286]	Time 0.229 (0.736)	Loss 1.8274 (2.0470)	Prec@1 50.781 (46.733)	Prec@5 85.156 (80.611)
Test: [20/286]	Time 0.316 (0.564)	Loss 1.3540 (1.9656)	Prec@1 63.281 (48.065)	Prec@5 92.188 (81.510)
Test: [30/286]	Time 0.226 (0.500)	Loss 1.9204 (1.8433)	Prec@1 56.250 (52.243)	Prec@5 82.031 (82.283)
Test: [40/286]	Time 1.296 (0.557)	Loss 2.0046 (1.8597)	Prec@1 40.625 (51.220)	Prec@5 84.375 (82.317)
Test: [50/286]	Time 0.445 (0.528)	Loss 0.5707 (1.8530)	Prec@1 88.281 (51.517)	Prec@5 95.312 (82.475)
Test: [60/286]	Time 0.234 (0.502)	Loss 2.6295 (1.8988)	Prec@1 41.406 (50.973)	Prec@5 71.875 (81.058)
Test: [70/286]	Time 0.314 (0.483)	Loss 1.1128 (1.8655)	Prec@1 74.219 (51.684)	Prec@5 92.969 (81.657)
Test: [80/286]	Time 1.543 (0.484)	Loss 1.9772 (1.9014)	Prec@1 42.969 (50.598)	Prec@5 82.812 (81.163)
Test: [90/286]	Time 0.233 (0.471)	Loss 1.9539 (1.9010)	Prec@1 50.781 (50.618)	Prec@5 81.250 (81.267)
Test: [100/286]	Time 0.234 (0.463)	Loss 2.6012 (1.8997)	Prec@1 21.875 (50.348)	Prec@5 72.656 (81.467)
Test: [110/286]	Time 0.234 (0.455)	Loss 2.4770 (1.9104)	Prec@1 37.500 (50.056)	Prec@5 67.969 (81.398)
Test: [120/286]	Time 1.321 (0.457)	Loss 1.8592 (1.8979)	Prec@1 54.688 (50.458)	Prec@5 78.906 (81.592)
Test: [130/286]	Time 0.290 (0.451)	Loss 1.0888 (1.8874)	Prec@1 66.406 (50.883)	Prec@5 92.969 (81.703)
Test: [140/286]	Time 0.313 (0.447)	Loss 2.4316 (1.8880)	Prec@1 47.656 (50.914)	Prec@5 71.094 (81.649)
Test: [150/286]	Time 0.227 (0.441)	Loss 2.8693 (1.8948)	Prec@1 25.781 (50.564)	Prec@5 71.094 (81.695)
Test: [160/286]	Time 1.339 (0.444)	Loss 2.5447 (1.8850)	Prec@1 27.344 (50.728)	Prec@5 75.000 (81.861)
Test: [170/286]	Time 0.303 (0.442)	Loss 2.2425 (1.8816)	Prec@1 35.938 (50.708)	Prec@5 73.438 (81.935)
Test: [180/286]	Time 0.247 (0.438)	Loss 2.2619 (1.8958)	Prec@1 50.000 (50.337)	Prec@5 75.000 (81.759)
Test: [190/286]	Time 0.226 (0.435)	Loss 2.9440 (1.9159)	Prec@1 20.312 (49.795)	Prec@5 71.875 (81.524)
Test: [200/286]	Time 1.548 (0.437)	Loss 1.7676 (1.9078)	Prec@1 59.375 (50.043)	Prec@5 87.500 (81.678)
Test: [210/286]	Time 0.233 (0.434)	Loss 1.5752 (1.9136)	Prec@1 66.406 (49.889)	Prec@5 85.938 (81.568)
Test: [220/286]	Time 0.395 (0.432)	Loss 3.0558 (1.9194)	Prec@1 17.969 (49.802)	Prec@5 57.812 (81.349)
Test: [230/286]	Time 0.269 (0.429)	Loss 1.3182 (1.9197)	Prec@1 67.188 (49.821)	Prec@5 88.281 (81.321)
Test: [240/286]	Time 1.166 (0.431)	Loss 1.9006 (1.9158)	Prec@1 53.125 (49.948)	Prec@5 82.031 (81.448)
Test: [250/286]	Time 0.455 (0.430)	Loss 1.6440 (1.9042)	Prec@1 54.688 (50.078)	Prec@5 84.375 (81.704)
Test: [260/286]	Time 0.260 (0.428)	Loss 1.9568 (1.8949)	Prec@1 50.000 (50.314)	Prec@5 82.031 (81.864)
Test: [270/286]	Time 0.234 (0.426)	Loss 1.3512 (1.8939)	Prec@1 64.844 (50.294)	Prec@5 89.844 (81.936)
Test: [280/286]	Time 0.430 (0.426)	Loss 1.9112 (1.8769)	Prec@1 53.906 (50.867)	Prec@5 84.375 (82.165)
 * Prec@1 51.021 Prec@5 82.167
Epoch: [43][0/14090]	Time 5.776 (5.776)	Data 4.861 (4.861)	Loss 2.3030 (2.3030)	Prec@1 39.062 (39.062)	Prec@5 75.000 (75.000)
Epoch: [43][10/14090]	Time 0.745 (1.195)	Data 0.001 (0.443)	Loss 2.0750 (2.1672)	Prec@1 49.219 (44.531)	Prec@5 78.906 (76.420)
Epoch: [43][20/14090]	Time 0.720 (0.978)	Data 0.001 (0.232)	Loss 2.4741 (2.2336)	Prec@1 42.969 (43.304)	Prec@5 72.656 (75.335)
Epoch: [43][30/14090]	Time 0.752 (0.906)	Data 0.001 (0.158)	Loss 2.1123 (2.1927)	Prec@1 46.875 (44.355)	Prec@5 75.000 (75.907)
Epoch: [43][40/14090]	Time 0.758 (0.870)	Data 0.001 (0.119)	Loss 2.4910 (2.1912)	Prec@1 37.500 (44.817)	Prec@5 71.094 (75.629)
Epoch: [43][50/14090]	Time 0.721 (0.849)	Data 0.001 (0.096)	Loss 2.3458 (2.1798)	Prec@1 42.188 (44.914)	Prec@5 76.562 (75.919)
Epoch: [43][60/14090]	Time 0.748 (0.834)	Data 0.001 (0.081)	Loss 1.8549 (2.1780)	Prec@1 53.906 (44.903)	Prec@5 75.781 (75.794)
Epoch: [43][70/14090]	Time 0.887 (0.825)	Data 0.001 (0.069)	Loss 2.0242 (2.1792)	Prec@1 51.562 (45.081)	Prec@5 78.125 (75.748)
Epoch: [43][80/14090]	Time 0.755 (0.817)	Data 0.001 (0.061)	Loss 2.2853 (2.1795)	Prec@1 45.312 (44.946)	Prec@5 77.344 (75.714)
Epoch: [43][90/14090]	Time 0.776 (0.811)	Data 0.001 (0.054)	Loss 1.9552 (2.1818)	Prec@1 51.562 (44.866)	Prec@5 78.906 (75.738)
Epoch: [43][100/14090]	Time 0.726 (0.806)	Data 0.001 (0.049)	Loss 2.4973 (2.1767)	Prec@1 38.281 (44.872)	Prec@5 66.406 (75.874)
Epoch: [43][110/14090]	Time 0.747 (0.803)	Data 0.001 (0.045)	Loss 2.0094 (2.1794)	Prec@1 54.688 (44.954)	Prec@5 76.562 (75.816)
Epoch: [43][120/14090]	Time 0.725 (0.800)	Data 0.001 (0.041)	Loss 2.1543 (2.1810)	Prec@1 46.094 (44.906)	Prec@5 76.562 (75.717)
Epoch: [43][130/14090]	Time 0.751 (0.797)	Data 0.001 (0.038)	Loss 2.2150 (2.1892)	Prec@1 43.750 (44.645)	Prec@5 77.344 (75.656)
Epoch: [43][140/14090]	Time 0.883 (0.795)	Data 0.001 (0.035)	Loss 2.2459 (2.1811)	Prec@1 42.188 (44.925)	Prec@5 76.562 (75.820)
Epoch: [43][150/14090]	Time 0.734 (0.792)	Data 0.001 (0.033)	Loss 2.2386 (2.1777)	Prec@1 43.750 (44.893)	Prec@5 75.000 (75.864)
Epoch: [43][160/14090]	Time 0.783 (0.790)	Data 0.001 (0.031)	Loss 2.3559 (2.1739)	Prec@1 48.438 (45.050)	Prec@5 75.000 (75.966)
Epoch: [43][170/14090]	Time 0.738 (0.789)	Data 0.001 (0.029)	Loss 1.9460 (2.1737)	Prec@1 50.781 (44.942)	Prec@5 79.688 (75.996)
Epoch: [43][180/14090]	Time 0.748 (0.788)	Data 0.001 (0.028)	Loss 1.9259 (2.1738)	Prec@1 50.000 (44.967)	Prec@5 82.812 (75.975)
Epoch: [43][190/14090]	Time 0.743 (0.787)	Data 0.001 (0.026)	Loss 2.2394 (2.1739)	Prec@1 42.969 (44.977)	Prec@5 76.562 (75.949)
Epoch: [43][200/14090]	Time 0.755 (0.785)	Data 0.001 (0.025)	Loss 2.1192 (2.1752)	Prec@1 41.406 (44.959)	Prec@5 81.250 (75.937)
Epoch: [43][210/14090]	Time 0.872 (0.785)	Data 0.001 (0.024)	Loss 2.1929 (2.1715)	Prec@1 43.750 (45.020)	Prec@5 69.531 (75.929)
Epoch: [43][220/14090]	Time 0.771 (0.784)	Data 0.001 (0.023)	Loss 2.2422 (2.1740)	Prec@1 46.094 (45.019)	Prec@5 77.344 (75.909)
Epoch: [43][230/14090]	Time 0.772 (0.783)	Data 0.001 (0.022)	Loss 2.2789 (2.1732)	Prec@1 45.312 (44.988)	Prec@5 74.219 (75.937)
Epoch: [43][240/14090]	Time 0.757 (0.783)	Data 0.001 (0.021)	Loss 1.9607 (2.1719)	Prec@1 46.094 (44.992)	Prec@5 80.469 (75.911)
Epoch: [43][250/14090]	Time 0.763 (0.782)	Data 0.001 (0.020)	Loss 2.2674 (2.1710)	Prec@1 44.531 (45.020)	Prec@5 75.781 (75.887)
Epoch: [43][260/14090]	Time 0.733 (0.782)	Data 0.001 (0.019)	Loss 1.9473 (2.1727)	Prec@1 44.531 (45.022)	Prec@5 78.906 (75.850)
Epoch: [43][270/14090]	Time 0.747 (0.781)	Data 0.001 (0.019)	Loss 2.2049 (2.1731)	Prec@1 42.188 (44.975)	Prec@5 76.562 (75.876)
Epoch: [43][280/14090]	Time 1.063 (0.782)	Data 0.001 (0.018)	Loss 2.1589 (2.1729)	Prec@1 41.406 (44.971)	Prec@5 78.906 (75.848)
Epoch: [43][290/14090]	Time 0.726 (0.781)	Data 0.001 (0.018)	Loss 2.0678 (2.1753)	Prec@1 48.438 (44.921)	Prec@5 73.438 (75.787)
Epoch: [43][300/14090]	Time 0.726 (0.780)	Data 0.001 (0.017)	Loss 2.1415 (2.1766)	Prec@1 46.875 (44.892)	Prec@5 75.781 (75.789)
Epoch: [43][310/14090]	Time 0.760 (0.781)	Data 0.001 (0.016)	Loss 2.1477 (2.1754)	Prec@1 46.094 (44.921)	Prec@5 76.562 (75.759)
Epoch: [43][320/14090]	Time 0.736 (0.780)	Data 0.004 (0.016)	Loss 2.1440 (2.1758)	Prec@1 48.438 (44.918)	Prec@5 78.906 (75.730)
Epoch: [43][330/14090]	Time 0.738 (0.780)	Data 0.001 (0.016)	Loss 2.4106 (2.1786)	Prec@1 38.281 (44.897)	Prec@5 71.094 (75.647)
Epoch: [43][340/14090]	Time 0.736 (0.779)	Data 0.001 (0.015)	Loss 1.8850 (2.1774)	Prec@1 54.688 (44.973)	Prec@5 78.906 (75.696)
Epoch: [43][350/14090]	Time 0.870 (0.779)	Data 0.001 (0.015)	Loss 2.4114 (2.1791)	Prec@1 41.406 (44.947)	Prec@5 69.531 (75.654)
Epoch: [43][360/14090]	Time 0.737 (0.779)	Data 0.001 (0.014)	Loss 2.2692 (2.1796)	Prec@1 46.094 (44.960)	Prec@5 74.219 (75.636)
Epoch: [43][370/14090]	Time 0.755 (0.778)	Data 0.001 (0.014)	Loss 1.9770 (2.1795)	Prec@1 44.531 (44.978)	Prec@5 82.812 (75.646)
Epoch: [43][380/14090]	Time 0.739 (0.778)	Data 0.001 (0.014)	Loss 2.1097 (2.1793)	Prec@1 49.219 (45.023)	Prec@5 71.875 (75.630)
Epoch: [43][390/14090]	Time 0.788 (0.778)	Data 0.001 (0.013)	Loss 2.5506 (2.1810)	Prec@1 33.594 (44.939)	Prec@5 72.656 (75.585)
Epoch: [43][400/14090]	Time 0.757 (0.778)	Data 0.001 (0.013)	Loss 2.2265 (2.1837)	Prec@1 46.094 (44.907)	Prec@5 75.781 (75.522)
Epoch: [43][410/14090]	Time 0.776 (0.777)	Data 0.001 (0.013)	Loss 2.1304 (2.1846)	Prec@1 41.406 (44.868)	Prec@5 80.469 (75.538)
Epoch: [43][420/14090]	Time 0.840 (0.777)	Data 0.001 (0.012)	Loss 1.8906 (2.1857)	Prec@1 50.781 (44.880)	Prec@5 79.688 (75.527)
Epoch: [43][430/14090]	Time 0.724 (0.777)	Data 0.001 (0.012)	Loss 2.1806 (2.1865)	Prec@1 43.750 (44.848)	Prec@5 78.125 (75.526)
Epoch: [43][440/14090]	Time 0.748 (0.777)	Data 0.001 (0.012)	Loss 2.2417 (2.1860)	Prec@1 45.312 (44.811)	Prec@5 71.094 (75.549)
Epoch: [43][450/14090]	Time 0.732 (0.776)	Data 0.001 (0.012)	Loss 2.3936 (2.1854)	Prec@1 35.156 (44.803)	Prec@5 72.656 (75.551)
Epoch: [43][460/14090]	Time 0.765 (0.776)	Data 0.001 (0.011)	Loss 2.3788 (2.1860)	Prec@1 44.531 (44.816)	Prec@5 74.219 (75.532)
Epoch: [43][470/14090]	Time 0.740 (0.776)	Data 0.001 (0.011)	Loss 2.1293 (2.1862)	Prec@1 51.562 (44.817)	Prec@5 74.219 (75.499)
Epoch: [43][480/14090]	Time 0.736 (0.776)	Data 0.001 (0.011)	Loss 2.1303 (2.1844)	Prec@1 35.938 (44.811)	Prec@5 75.000 (75.518)
Epoch: [43][490/14090]	Time 0.893 (0.776)	Data 0.001 (0.011)	Loss 1.8132 (2.1836)	Prec@1 51.562 (44.799)	Prec@5 85.156 (75.554)
Epoch: [43][500/14090]	Time 0.745 (0.775)	Data 0.001 (0.011)	Loss 2.5117 (2.1817)	Prec@1 39.844 (44.849)	Prec@5 71.875 (75.585)
Epoch: [43][510/14090]	Time 0.755 (0.775)	Data 0.001 (0.010)	Loss 2.1872 (2.1823)	Prec@1 43.750 (44.845)	Prec@5 77.344 (75.595)
Epoch: [43][520/14090]	Time 0.740 (0.775)	Data 0.001 (0.010)	Loss 2.2302 (2.1829)	Prec@1 45.312 (44.854)	Prec@5 70.312 (75.565)
Epoch: [43][530/14090]	Time 0.781 (0.775)	Data 0.001 (0.010)	Loss 2.5701 (2.1819)	Prec@1 34.375 (44.898)	Prec@5 67.188 (75.565)
Epoch: [43][540/14090]	Time 0.762 (0.775)	Data 0.001 (0.010)	Loss 2.0025 (2.1809)	Prec@1 47.656 (44.917)	Prec@5 82.031 (75.585)
Epoch: [43][550/14090]	Time 0.782 (0.775)	Data 0.001 (0.010)	Loss 2.1472 (2.1816)	Prec@1 46.875 (44.867)	Prec@5 76.562 (75.583)
Epoch: [43][560/14090]	Time 0.875 (0.775)	Data 0.001 (0.010)	Loss 2.3622 (2.1818)	Prec@1 38.281 (44.878)	Prec@5 73.438 (75.602)
Epoch: [43][570/14090]	Time 0.747 (0.774)	Data 0.001 (0.009)	Loss 2.2446 (2.1809)	Prec@1 46.875 (44.882)	Prec@5 71.094 (75.587)
Epoch: [43][580/14090]	Time 0.744 (0.774)	Data 0.001 (0.009)	Loss 2.0266 (2.1819)	Prec@1 51.562 (44.869)	Prec@5 76.562 (75.555)
Epoch: [43][590/14090]	Time 0.778 (0.774)	Data 0.001 (0.009)	Loss 2.4629 (2.1828)	Prec@1 39.844 (44.846)	Prec@5 71.875 (75.534)
Epoch: [43][600/14090]	Time 0.723 (0.774)	Data 0.001 (0.009)	Loss 2.5573 (2.1841)	Prec@1 35.156 (44.829)	Prec@5 66.406 (75.498)
Epoch: [43][610/14090]	Time 0.781 (0.774)	Data 0.001 (0.009)	Loss 2.3620 (2.1843)	Prec@1 41.406 (44.833)	Prec@5 75.000 (75.490)
Epoch: [43][620/14090]	Time 0.722 (0.774)	Data 0.001 (0.009)	Loss 2.1875 (2.1833)	Prec@1 45.312 (44.868)	Prec@5 71.875 (75.503)
Epoch: [43][630/14090]	Time 0.865 (0.774)	Data 0.001 (0.009)	Loss 2.2156 (2.1827)	Prec@1 42.188 (44.889)	Prec@5 75.781 (75.530)
Epoch: [43][640/14090]	Time 0.725 (0.774)	Data 0.001 (0.008)	Loss 2.2105 (2.1833)	Prec@1 44.531 (44.883)	Prec@5 76.562 (75.509)
Epoch: [43][650/14090]	Time 0.749 (0.774)	Data 0.001 (0.008)	Loss 2.2547 (2.1837)	Prec@1 46.875 (44.882)	Prec@5 70.312 (75.491)
Epoch: [43][660/14090]	Time 0.748 (0.774)	Data 0.001 (0.008)	Loss 2.1263 (2.1832)	Prec@1 44.531 (44.885)	Prec@5 74.219 (75.495)
Epoch: [43][670/14090]	Time 0.729 (0.773)	Data 0.001 (0.008)	Loss 2.1585 (2.1827)	Prec@1 42.188 (44.886)	Prec@5 76.562 (75.511)
Epoch: [43][680/14090]	Time 0.750 (0.774)	Data 0.001 (0.008)	Loss 2.1597 (2.1829)	Prec@1 46.875 (44.925)	Prec@5 77.344 (75.517)
Epoch: [43][690/14090]	Time 0.769 (0.773)	Data 0.001 (0.008)	Loss 1.9498 (2.1829)	Prec@1 42.188 (44.889)	Prec@5 76.562 (75.516)
Epoch: [43][700/14090]	Time 0.852 (0.773)	Data 0.001 (0.008)	Loss 2.1730 (2.1840)	Prec@1 46.875 (44.850)	Prec@5 74.219 (75.497)
Epoch: [43][710/14090]	Time 0.789 (0.773)	Data 0.001 (0.008)	Loss 2.1117 (2.1828)	Prec@1 45.312 (44.882)	Prec@5 78.125 (75.516)
Epoch: [43][720/14090]	Time 0.774 (0.773)	Data 0.001 (0.008)	Loss 2.3932 (2.1830)	Prec@1 44.531 (44.864)	Prec@5 70.312 (75.516)
Epoch: [43][730/14090]	Time 0.743 (0.773)	Data 0.002 (0.008)	Loss 1.8659 (2.1820)	Prec@1 50.781 (44.892)	Prec@5 79.688 (75.541)
Epoch: [43][740/14090]	Time 0.752 (0.773)	Data 0.001 (0.007)	Loss 2.1979 (2.1834)	Prec@1 36.719 (44.868)	Prec@5 77.344 (75.517)
Epoch: [43][750/14090]	Time 0.762 (0.773)	Data 0.003 (0.007)	Loss 1.9674 (2.1820)	Prec@1 50.781 (44.903)	Prec@5 78.906 (75.563)
Epoch: [43][760/14090]	Time 0.749 (0.773)	Data 0.001 (0.007)	Loss 2.1220 (2.1822)	Prec@1 52.344 (44.907)	Prec@5 78.906 (75.563)
Epoch: [43][770/14090]	Time 0.882 (0.773)	Data 0.001 (0.007)	Loss 2.0763 (2.1823)	Prec@1 42.969 (44.905)	Prec@5 74.219 (75.569)
Epoch: [43][780/14090]	Time 0.722 (0.773)	Data 0.001 (0.007)	Loss 2.3148 (2.1830)	Prec@1 41.406 (44.868)	Prec@5 73.438 (75.553)
Epoch: [43][790/14090]	Time 0.732 (0.773)	Data 0.001 (0.007)	Loss 2.2284 (2.1815)	Prec@1 39.062 (44.889)	Prec@5 80.469 (75.584)
Epoch: [43][800/14090]	Time 0.752 (0.773)	Data 0.001 (0.007)	Loss 2.4861 (2.1818)	Prec@1 42.188 (44.876)	Prec@5 71.875 (75.597)
Epoch: [43][810/14090]	Time 0.754 (0.773)	Data 0.001 (0.007)	Loss 2.3353 (2.1819)	Prec@1 40.625 (44.876)	Prec@5 70.312 (75.591)
Epoch: [43][820/14090]	Time 0.751 (0.773)	Data 0.001 (0.007)	Loss 2.4595 (2.1823)	Prec@1 42.188 (44.871)	Prec@5 71.094 (75.584)
Epoch: [43][830/14090]	Time 0.792 (0.772)	Data 0.001 (0.007)	Loss 2.0976 (2.1825)	Prec@1 41.406 (44.854)	Prec@5 78.906 (75.579)
Epoch: [43][840/14090]	Time 0.938 (0.773)	Data 0.001 (0.007)	Loss 2.1494 (2.1821)	Prec@1 41.406 (44.868)	Prec@5 75.000 (75.575)
Epoch: [43][850/14090]	Time 0.734 (0.772)	Data 0.001 (0.007)	Loss 2.2661 (2.1826)	Prec@1 40.625 (44.872)	Prec@5 74.219 (75.560)
Epoch: [43][860/14090]	Time 0.733 (0.772)	Data 0.001 (0.007)	Loss 2.1112 (2.1830)	Prec@1 45.312 (44.863)	Prec@5 74.219 (75.554)
Epoch: [43][870/14090]	Time 0.744 (0.772)	Data 0.001 (0.006)	Loss 1.9841 (2.1827)	Prec@1 51.562 (44.877)	Prec@5 81.250 (75.549)
Epoch: [43][880/14090]	Time 0.726 (0.772)	Data 0.001 (0.006)	Loss 2.0300 (2.1821)	Prec@1 51.562 (44.894)	Prec@5 76.562 (75.557)
Epoch: [43][890/14090]	Time 0.763 (0.772)	Data 0.001 (0.006)	Loss 2.2250 (2.1819)	Prec@1 43.750 (44.905)	Prec@5 76.562 (75.557)
Epoch: [43][900/14090]	Time 0.763 (0.772)	Data 0.001 (0.006)	Loss 2.1552 (2.1818)	Prec@1 43.750 (44.915)	Prec@5 71.094 (75.545)
Epoch: [43][910/14090]	Time 0.880 (0.772)	Data 0.001 (0.006)	Loss 2.0446 (2.1811)	Prec@1 49.219 (44.942)	Prec@5 76.562 (75.559)
Epoch: [43][920/14090]	Time 0.777 (0.772)	Data 0.001 (0.006)	Loss 2.2717 (2.1822)	Prec@1 42.969 (44.905)	Prec@5 76.562 (75.561)
Epoch: [43][930/14090]	Time 0.753 (0.772)	Data 0.001 (0.006)	Loss 2.0259 (2.1822)	Prec@1 51.562 (44.916)	Prec@5 78.125 (75.544)
Epoch: [43][940/14090]	Time 0.735 (0.772)	Data 0.001 (0.006)	Loss 1.9462 (2.1825)	Prec@1 51.562 (44.907)	Prec@5 78.906 (75.537)
Epoch: [43][950/14090]	Time 0.762 (0.772)	Data 0.001 (0.006)	Loss 2.3103 (2.1832)	Prec@1 45.312 (44.889)	Prec@5 68.750 (75.532)
Epoch: [43][960/14090]	Time 0.761 (0.772)	Data 0.001 (0.006)	Loss 1.8430 (2.1835)	Prec@1 53.125 (44.885)	Prec@5 79.688 (75.529)
Epoch: [43][970/14090]	Time 0.761 (0.772)	Data 0.001 (0.006)	Loss 2.1906 (2.1833)	Prec@1 48.438 (44.897)	Prec@5 74.219 (75.522)
Epoch: [43][980/14090]	Time 0.893 (0.772)	Data 0.001 (0.006)	Loss 1.9919 (2.1826)	Prec@1 46.875 (44.903)	Prec@5 81.250 (75.532)
Epoch: [43][990/14090]	Time 0.729 (0.772)	Data 0.001 (0.006)	Loss 2.2111 (2.1826)	Prec@1 43.750 (44.909)	Prec@5 82.812 (75.542)
Epoch: [43][1000/14090]	Time 0.779 (0.772)	Data 0.001 (0.006)	Loss 2.3353 (2.1825)	Prec@1 42.969 (44.924)	Prec@5 71.875 (75.541)
Epoch: [43][1010/14090]	Time 0.745 (0.772)	Data 0.002 (0.006)	Loss 2.2529 (2.1831)	Prec@1 42.969 (44.901)	Prec@5 75.000 (75.530)
Epoch: [43][1020/14090]	Time 0.757 (0.772)	Data 0.001 (0.006)	Loss 2.1445 (2.1827)	Prec@1 48.438 (44.919)	Prec@5 76.562 (75.530)
Epoch: [43][1030/14090]	Time 0.777 (0.772)	Data 0.001 (0.006)	Loss 1.7739 (2.1820)	Prec@1 54.688 (44.936)	Prec@5 85.938 (75.539)
Epoch: [43][1040/14090]	Time 0.741 (0.772)	Data 0.001 (0.006)	Loss 2.4714 (2.1830)	Prec@1 41.406 (44.922)	Prec@5 67.188 (75.517)
Epoch: [43][1050/14090]	Time 0.841 (0.772)	Data 0.001 (0.006)	Loss 2.3908 (2.1827)	Prec@1 39.062 (44.920)	Prec@5 74.219 (75.517)
Epoch: [43][1060/14090]	Time 0.777 (0.772)	Data 0.001 (0.005)	Loss 2.2374 (2.1829)	Prec@1 41.406 (44.913)	Prec@5 78.906 (75.510)
Epoch: [43][1070/14090]	Time 0.733 (0.772)	Data 0.001 (0.005)	Loss 1.8840 (2.1832)	Prec@1 44.531 (44.911)	Prec@5 82.812 (75.500)
Epoch: [43][1080/14090]	Time 0.745 (0.772)	Data 0.001 (0.005)	Loss 1.9252 (2.1827)	Prec@1 50.000 (44.915)	Prec@5 79.688 (75.507)
Epoch: [43][1090/14090]	Time 0.749 (0.772)	Data 0.001 (0.005)	Loss 2.3345 (2.1837)	Prec@1 42.969 (44.892)	Prec@5 69.531 (75.486)
Epoch: [43][1100/14090]	Time 0.748 (0.772)	Data 0.001 (0.005)	Loss 2.1268 (2.1838)	Prec@1 43.750 (44.887)	Prec@5 77.344 (75.475)
Epoch: [43][1110/14090]	Time 0.748 (0.772)	Data 0.001 (0.005)	Loss 2.2799 (2.1834)	Prec@1 46.094 (44.891)	Prec@5 73.438 (75.494)
Epoch: [43][1120/14090]	Time 0.917 (0.772)	Data 0.001 (0.005)	Loss 2.1679 (2.1836)	Prec@1 49.219 (44.899)	Prec@5 75.000 (75.487)
Epoch: [43][1130/14090]	Time 0.758 (0.772)	Data 0.001 (0.005)	Loss 2.4253 (2.1836)	Prec@1 43.750 (44.918)	Prec@5 68.750 (75.486)
Epoch: [43][1140/14090]	Time 0.773 (0.772)	Data 0.001 (0.005)	Loss 2.0154 (2.1829)	Prec@1 44.531 (44.921)	Prec@5 78.125 (75.496)
Epoch: [43][1150/14090]	Time 0.779 (0.772)	Data 0.001 (0.005)	Loss 2.0300 (2.1828)	Prec@1 45.312 (44.934)	Prec@5 74.219 (75.491)
Epoch: [43][1160/14090]	Time 0.778 (0.772)	Data 0.001 (0.005)	Loss 2.2808 (2.1829)	Prec@1 46.094 (44.938)	Prec@5 76.562 (75.495)
Epoch: [43][1170/14090]	Time 0.775 (0.772)	Data 0.001 (0.005)	Loss 2.4461 (2.1828)	Prec@1 39.844 (44.943)	Prec@5 68.750 (75.503)
Epoch: [43][1180/14090]	Time 0.745 (0.772)	Data 0.001 (0.005)	Loss 2.5422 (2.1823)	Prec@1 44.531 (44.969)	Prec@5 68.750 (75.517)
Epoch: [43][1190/14090]	Time 0.854 (0.772)	Data 0.001 (0.005)	Loss 1.7672 (2.1816)	Prec@1 55.469 (44.978)	Prec@5 83.594 (75.533)
Epoch: [43][1200/14090]	Time 0.758 (0.772)	Data 0.001 (0.005)	Loss 2.6077 (2.1822)	Prec@1 32.812 (44.981)	Prec@5 68.750 (75.518)
Epoch: [43][1210/14090]	Time 0.769 (0.771)	Data 0.001 (0.005)	Loss 2.3889 (2.1819)	Prec@1 46.875 (44.990)	Prec@5 70.312 (75.512)
Epoch: [43][1220/14090]	Time 0.730 (0.771)	Data 0.001 (0.005)	Loss 2.3503 (2.1818)	Prec@1 43.750 (44.982)	Prec@5 76.562 (75.504)
Epoch: [43][1230/14090]	Time 0.746 (0.771)	Data 0.001 (0.005)	Loss 1.9829 (2.1816)	Prec@1 46.875 (44.992)	Prec@5 76.562 (75.502)
Epoch: [43][1240/14090]	Time 0.748 (0.771)	Data 0.001 (0.005)	Loss 2.3891 (2.1823)	Prec@1 44.531 (44.974)	Prec@5 71.875 (75.488)
Epoch: [43][1250/14090]	Time 0.749 (0.771)	Data 0.001 (0.005)	Loss 2.5066 (2.1824)	Prec@1 38.281 (44.974)	Prec@5 67.969 (75.488)
Epoch: [43][1260/14090]	Time 0.859 (0.771)	Data 0.001 (0.005)	Loss 2.1513 (2.1824)	Prec@1 45.312 (44.963)	Prec@5 72.656 (75.481)
Epoch: [43][1270/14090]	Time 0.735 (0.771)	Data 0.001 (0.005)	Loss 2.1675 (2.1829)	Prec@1 46.094 (44.971)	Prec@5 72.656 (75.462)
Epoch: [43][1280/14090]	Time 0.739 (0.771)	Data 0.001 (0.005)	Loss 2.2398 (2.1835)	Prec@1 41.406 (44.945)	Prec@5 76.562 (75.457)
Epoch: [43][1290/14090]	Time 0.756 (0.771)	Data 0.001 (0.005)	Loss 1.9950 (2.1828)	Prec@1 48.438 (44.954)	Prec@5 82.812 (75.480)
Epoch: [43][1300/14090]	Time 0.754 (0.771)	Data 0.001 (0.005)	Loss 2.3281 (2.1831)	Prec@1 35.156 (44.946)	Prec@5 71.094 (75.471)
Epoch: [43][1310/14090]	Time 0.774 (0.771)	Data 0.001 (0.005)	Loss 1.8999 (2.1832)	Prec@1 49.219 (44.939)	Prec@5 79.688 (75.473)
Epoch: [43][1320/14090]	Time 0.772 (0.771)	Data 0.001 (0.005)	Loss 2.3388 (2.1836)	Prec@1 39.844 (44.917)	Prec@5 78.125 (75.474)
Epoch: [43][1330/14090]	Time 0.848 (0.771)	Data 0.001 (0.005)	Loss 2.4635 (2.1840)	Prec@1 42.188 (44.910)	Prec@5 71.094 (75.470)
Epoch: [43][1340/14090]	Time 0.757 (0.771)	Data 0.001 (0.005)	Loss 2.1044 (2.1837)	Prec@1 49.219 (44.924)	Prec@5 76.562 (75.475)
Epoch: [43][1350/14090]	Time 0.744 (0.771)	Data 0.001 (0.004)	Loss 2.4205 (2.1837)	Prec@1 34.375 (44.920)	Prec@5 67.969 (75.482)
Epoch: [43][1360/14090]	Time 0.785 (0.771)	Data 0.001 (0.004)	Loss 2.3392 (2.1838)	Prec@1 43.750 (44.926)	Prec@5 73.438 (75.478)
Epoch: [43][1370/14090]	Time 0.782 (0.771)	Data 0.002 (0.004)	Loss 2.2745 (2.1842)	Prec@1 43.750 (44.919)	Prec@5 71.094 (75.465)
Epoch: [43][1380/14090]	Time 0.763 (0.771)	Data 0.001 (0.004)	Loss 2.0411 (2.1840)	Prec@1 49.219 (44.919)	Prec@5 77.344 (75.477)
Epoch: [43][1390/14090]	Time 0.758 (0.771)	Data 0.001 (0.004)	Loss 2.0908 (2.1834)	Prec@1 45.312 (44.927)	Prec@5 76.562 (75.489)
Epoch: [43][1400/14090]	Time 0.878 (0.771)	Data 0.001 (0.004)	Loss 2.2247 (2.1834)	Prec@1 46.094 (44.928)	Prec@5 72.656 (75.498)
Epoch: [43][1410/14090]	Time 0.739 (0.771)	Data 0.001 (0.004)	Loss 2.2388 (2.1837)	Prec@1 47.656 (44.924)	Prec@5 70.312 (75.478)
Epoch: [43][1420/14090]	Time 0.736 (0.771)	Data 0.001 (0.004)	Loss 2.1683 (2.1844)	Prec@1 51.562 (44.920)	Prec@5 71.875 (75.459)
Epoch: [43][1430/14090]	Time 0.751 (0.771)	Data 0.001 (0.004)	Loss 2.3900 (2.1850)	Prec@1 39.844 (44.908)	Prec@5 69.531 (75.449)
Epoch: [43][1440/14090]	Time 0.736 (0.771)	Data 0.001 (0.004)	Loss 2.6253 (2.1849)	Prec@1 37.500 (44.906)	Prec@5 68.750 (75.449)
Epoch: [43][1450/14090]	Time 0.761 (0.771)	Data 0.001 (0.004)	Loss 2.3104 (2.1850)	Prec@1 38.281 (44.903)	Prec@5 75.781 (75.453)
Epoch: [43][1460/14090]	Time 0.743 (0.771)	Data 0.001 (0.004)	Loss 2.2000 (2.1850)	Prec@1 49.219 (44.896)	Prec@5 78.125 (75.457)
Epoch: [43][1470/14090]	Time 0.902 (0.771)	Data 0.001 (0.004)	Loss 2.2900 (2.1848)	Prec@1 42.188 (44.892)	Prec@5 71.094 (75.465)
Epoch: [43][1480/14090]	Time 0.734 (0.771)	Data 0.001 (0.004)	Loss 2.0747 (2.1846)	Prec@1 46.875 (44.901)	Prec@5 74.219 (75.470)
Epoch: [43][1490/14090]	Time 0.738 (0.771)	Data 0.002 (0.004)	Loss 2.3131 (2.1848)	Prec@1 46.094 (44.885)	Prec@5 72.656 (75.468)
Epoch: [43][1500/14090]	Time 0.780 (0.771)	Data 0.001 (0.004)	Loss 2.3267 (2.1844)	Prec@1 42.188 (44.897)	Prec@5 70.312 (75.472)
Epoch: [43][1510/14090]	Time 0.752 (0.771)	Data 0.001 (0.004)	Loss 2.1129 (2.1847)	Prec@1 50.000 (44.891)	Prec@5 81.250 (75.463)
Epoch: [43][1520/14090]	Time 0.754 (0.771)	Data 0.001 (0.004)	Loss 2.4840 (2.1847)	Prec@1 31.250 (44.894)	Prec@5 73.438 (75.469)
Epoch: [43][1530/14090]	Time 0.730 (0.771)	Data 0.001 (0.004)	Loss 2.0361 (2.1848)	Prec@1 46.875 (44.897)	Prec@5 81.250 (75.465)
Epoch: [43][1540/14090]	Time 0.864 (0.771)	Data 0.001 (0.004)	Loss 2.2970 (2.1849)	Prec@1 42.188 (44.891)	Prec@5 71.875 (75.458)
Epoch: [43][1550/14090]	Time 0.743 (0.771)	Data 0.001 (0.004)	Loss 2.2358 (2.1849)	Prec@1 45.312 (44.886)	Prec@5 75.000 (75.461)
Epoch: [43][1560/14090]	Time 0.736 (0.771)	Data 0.001 (0.004)	Loss 2.2342 (2.1849)	Prec@1 43.750 (44.884)	Prec@5 79.688 (75.468)
Epoch: [43][1570/14090]	Time 0.736 (0.771)	Data 0.001 (0.004)	Loss 2.1523 (2.1848)	Prec@1 45.312 (44.893)	Prec@5 72.656 (75.473)
Epoch: [43][1580/14090]	Time 0.731 (0.771)	Data 0.001 (0.004)	Loss 2.0011 (2.1848)	Prec@1 44.531 (44.904)	Prec@5 78.125 (75.471)
Epoch: [43][1590/14090]	Time 0.742 (0.771)	Data 0.001 (0.004)	Loss 2.4870 (2.1854)	Prec@1 39.062 (44.892)	Prec@5 73.438 (75.458)
Epoch: [43][1600/14090]	Time 0.745 (0.771)	Data 0.001 (0.004)	Loss 2.0533 (2.1851)	Prec@1 49.219 (44.904)	Prec@5 78.125 (75.470)
Epoch: [43][1610/14090]	Time 0.857 (0.771)	Data 0.001 (0.004)	Loss 2.1939 (2.1851)	Prec@1 45.312 (44.907)	Prec@5 74.219 (75.467)
Epoch: [43][1620/14090]	Time 0.727 (0.771)	Data 0.001 (0.004)	Loss 2.1493 (2.1850)	Prec@1 44.531 (44.912)	Prec@5 75.000 (75.458)
Epoch: [43][1630/14090]	Time 0.730 (0.771)	Data 0.001 (0.004)	Loss 2.0623 (2.1849)	Prec@1 45.312 (44.908)	Prec@5 73.438 (75.457)
Epoch: [43][1640/14090]	Time 0.751 (0.771)	Data 0.001 (0.004)	Loss 2.3812 (2.1853)	Prec@1 41.406 (44.894)	Prec@5 75.781 (75.448)
Epoch: [43][1650/14090]	Time 0.743 (0.771)	Data 0.001 (0.004)	Loss 2.4522 (2.1863)	Prec@1 35.156 (44.873)	Prec@5 73.438 (75.437)
Epoch: [43][1660/14090]	Time 0.734 (0.771)	Data 0.001 (0.004)	Loss 2.0543 (2.1857)	Prec@1 50.000 (44.888)	Prec@5 76.562 (75.441)
Epoch: [43][1670/14090]	Time 0.745 (0.771)	Data 0.001 (0.004)	Loss 2.1296 (2.1859)	Prec@1 48.438 (44.876)	Prec@5 77.344 (75.439)
Epoch: [43][1680/14090]	Time 0.879 (0.771)	Data 0.001 (0.004)	Loss 2.0897 (2.1861)	Prec@1 48.438 (44.872)	Prec@5 79.688 (75.436)
Epoch: [43][1690/14090]	Time 0.753 (0.771)	Data 0.001 (0.004)	Loss 1.8808 (2.1859)	Prec@1 53.906 (44.872)	Prec@5 81.250 (75.440)
Epoch: [43][1700/14090]	Time 0.762 (0.771)	Data 0.001 (0.004)	Loss 2.0436 (2.1857)	Prec@1 48.438 (44.876)	Prec@5 78.125 (75.444)
Epoch: [43][1710/14090]	Time 0.742 (0.771)	Data 0.001 (0.004)	Loss 2.0258 (2.1856)	Prec@1 51.562 (44.876)	Prec@5 77.344 (75.445)
Epoch: [43][1720/14090]	Time 0.733 (0.771)	Data 0.001 (0.004)	Loss 2.1233 (2.1857)	Prec@1 46.094 (44.877)	Prec@5 79.688 (75.441)
Epoch: [43][1730/14090]	Time 0.771 (0.771)	Data 0.001 (0.004)	Loss 2.3941 (2.1860)	Prec@1 41.406 (44.868)	Prec@5 68.750 (75.441)
Epoch: [43][1740/14090]	Time 0.731 (0.771)	Data 0.001 (0.004)	Loss 2.0293 (2.1858)	Prec@1 46.875 (44.876)	Prec@5 76.562 (75.456)
Epoch: [43][1750/14090]	Time 0.839 (0.771)	Data 0.001 (0.004)	Loss 2.1603 (2.1856)	Prec@1 46.094 (44.881)	Prec@5 72.656 (75.463)
Epoch: [43][1760/14090]	Time 0.740 (0.770)	Data 0.001 (0.004)	Loss 2.3890 (2.1860)	Prec@1 42.969 (44.878)	Prec@5 71.875 (75.453)
Epoch: [43][1770/14090]	Time 0.764 (0.770)	Data 0.001 (0.004)	Loss 1.9956 (2.1864)	Prec@1 48.438 (44.871)	Prec@5 78.906 (75.451)
Epoch: [43][1780/14090]	Time 0.739 (0.770)	Data 0.001 (0.004)	Loss 2.0739 (2.1862)	Prec@1 46.875 (44.889)	Prec@5 80.469 (75.454)
Epoch: [43][1790/14090]	Time 0.737 (0.770)	Data 0.001 (0.004)	Loss 2.0354 (2.1858)	Prec@1 46.875 (44.895)	Prec@5 78.125 (75.455)
Epoch: [43][1800/14090]	Time 0.755 (0.770)	Data 0.001 (0.004)	Loss 2.1731 (2.1854)	Prec@1 46.875 (44.897)	Prec@5 76.562 (75.465)
Epoch: [43][1810/14090]	Time 0.776 (0.770)	Data 0.001 (0.004)	Loss 2.2053 (2.1856)	Prec@1 48.438 (44.896)	Prec@5 73.438 (75.460)
Epoch: [43][1820/14090]	Time 0.844 (0.770)	Data 0.001 (0.004)	Loss 2.2980 (2.1856)	Prec@1 45.312 (44.893)	Prec@5 71.875 (75.458)
Epoch: [43][1830/14090]	Time 0.726 (0.770)	Data 0.001 (0.004)	Loss 2.2209 (2.1858)	Prec@1 39.062 (44.876)	Prec@5 73.438 (75.457)
Epoch: [43][1840/14090]	Time 0.766 (0.770)	Data 0.001 (0.004)	Loss 2.3763 (2.1862)	Prec@1 39.062 (44.865)	Prec@5 72.656 (75.448)
Epoch: [43][1850/14090]	Time 0.753 (0.770)	Data 0.001 (0.004)	Loss 2.3884 (2.1860)	Prec@1 39.062 (44.872)	Prec@5 75.000 (75.454)
Epoch: [43][1860/14090]	Time 0.736 (0.770)	Data 0.001 (0.003)	Loss 1.9708 (2.1861)	Prec@1 42.969 (44.883)	Prec@5 79.688 (75.450)
Epoch: [43][1870/14090]	Time 0.761 (0.770)	Data 0.001 (0.003)	Loss 2.3910 (2.1865)	Prec@1 45.312 (44.877)	Prec@5 69.531 (75.443)
Epoch: [43][1880/14090]	Time 0.782 (0.770)	Data 0.001 (0.003)	Loss 2.0511 (2.1862)	Prec@1 47.656 (44.888)	Prec@5 74.219 (75.442)
Epoch: [43][1890/14090]	Time 0.856 (0.770)	Data 0.001 (0.003)	Loss 1.9567 (2.1862)	Prec@1 46.094 (44.890)	Prec@5 79.688 (75.449)
Epoch: [43][1900/14090]	Time 0.728 (0.770)	Data 0.001 (0.003)	Loss 2.3619 (2.1863)	Prec@1 35.938 (44.888)	Prec@5 72.656 (75.448)
Epoch: [43][1910/14090]	Time 0.758 (0.770)	Data 0.001 (0.003)	Loss 2.1438 (2.1864)	Prec@1 48.438 (44.884)	Prec@5 81.250 (75.448)
Epoch: [43][1920/14090]	Time 0.744 (0.770)	Data 0.001 (0.003)	Loss 2.2258 (2.1866)	Prec@1 39.844 (44.880)	Prec@5 76.562 (75.449)
Epoch: [43][1930/14090]	Time 0.782 (0.770)	Data 0.001 (0.003)	Loss 2.3547 (2.1872)	Prec@1 46.094 (44.875)	Prec@5 68.750 (75.433)
Epoch: [43][1940/14090]	Time 0.738 (0.770)	Data 0.001 (0.003)	Loss 2.0871 (2.1869)	Prec@1 46.094 (44.879)	Prec@5 79.688 (75.438)
Epoch: [43][1950/14090]	Time 0.745 (0.770)	Data 0.001 (0.003)	Loss 1.8701 (2.1869)	Prec@1 55.469 (44.884)	Prec@5 82.031 (75.435)
Epoch: [43][1960/14090]	Time 1.058 (0.770)	Data 0.001 (0.003)	Loss 2.0117 (2.1868)	Prec@1 50.781 (44.886)	Prec@5 77.344 (75.439)
Epoch: [43][1970/14090]	Time 0.742 (0.770)	Data 0.001 (0.003)	Loss 2.0096 (2.1866)	Prec@1 49.219 (44.896)	Prec@5 76.562 (75.443)
Epoch: [43][1980/14090]	Time 0.736 (0.770)	Data 0.001 (0.003)	Loss 2.3613 (2.1867)	Prec@1 44.531 (44.904)	Prec@5 70.312 (75.439)
Epoch: [43][1990/14090]	Time 0.758 (0.770)	Data 0.001 (0.003)	Loss 2.1940 (2.1870)	Prec@1 42.969 (44.891)	Prec@5 75.000 (75.432)
Epoch: [43][2000/14090]	Time 0.773 (0.770)	Data 0.001 (0.003)	Loss 2.1898 (2.1872)	Prec@1 46.094 (44.892)	Prec@5 76.562 (75.428)
Epoch: [43][2010/14090]	Time 0.734 (0.770)	Data 0.001 (0.003)	Loss 2.0935 (2.1873)	Prec@1 46.875 (44.887)	Prec@5 78.125 (75.425)
Epoch: [43][2020/14090]	Time 0.735 (0.770)	Data 0.001 (0.003)	Loss 2.3898 (2.1874)	Prec@1 42.188 (44.893)	Prec@5 68.750 (75.419)
Epoch: [43][2030/14090]	Time 0.884 (0.770)	Data 0.001 (0.003)	Loss 2.2733 (2.1877)	Prec@1 46.094 (44.889)	Prec@5 72.656 (75.417)
Epoch: [43][2040/14090]	Time 0.735 (0.770)	Data 0.001 (0.003)	Loss 2.3129 (2.1882)	Prec@1 42.969 (44.883)	Prec@5 70.312 (75.398)
Epoch: [43][2050/14090]	Time 0.782 (0.770)	Data 0.001 (0.003)	Loss 2.1594 (2.1884)	Prec@1 43.750 (44.879)	Prec@5 75.000 (75.393)
Epoch: [43][2060/14090]	Time 0.757 (0.770)	Data 0.001 (0.003)	Loss 2.1140 (2.1884)	Prec@1 47.656 (44.877)	Prec@5 78.906 (75.393)
Epoch: [43][2070/14090]	Time 0.721 (0.770)	Data 0.001 (0.003)	Loss 2.2695 (2.1884)	Prec@1 46.094 (44.882)	Prec@5 73.438 (75.393)
Epoch: [43][2080/14090]	Time 0.758 (0.770)	Data 0.001 (0.003)	Loss 2.1043 (2.1883)	Prec@1 49.219 (44.896)	Prec@5 78.906 (75.387)
Epoch: [43][2090/14090]	Time 0.757 (0.770)	Data 0.001 (0.003)	Loss 2.1497 (2.1882)	Prec@1 46.094 (44.891)	Prec@5 75.781 (75.390)
Epoch: [43][2100/14090]	Time 0.863 (0.770)	Data 0.001 (0.003)	Loss 2.0407 (2.1884)	Prec@1 42.969 (44.883)	Prec@5 76.562 (75.387)
Epoch: [43][2110/14090]	Time 0.746 (0.770)	Data 0.001 (0.003)	Loss 2.1554 (2.1885)	Prec@1 47.656 (44.884)	Prec@5 73.438 (75.385)
Epoch: [43][2120/14090]	Time 0.779 (0.770)	Data 0.001 (0.003)	Loss 2.1409 (2.1886)	Prec@1 45.312 (44.885)	Prec@5 75.781 (75.379)
Epoch: [43][2130/14090]	Time 0.753 (0.770)	Data 0.001 (0.003)	Loss 2.0294 (2.1889)	Prec@1 51.562 (44.878)	Prec@5 75.781 (75.371)
Epoch: [43][2140/14090]	Time 0.734 (0.770)	Data 0.001 (0.003)	Loss 1.9549 (2.1887)	Prec@1 47.656 (44.876)	Prec@5 80.469 (75.374)
Epoch: [43][2150/14090]	Time 0.756 (0.770)	Data 0.001 (0.003)	Loss 2.3219 (2.1889)	Prec@1 38.281 (44.867)	Prec@5 71.875 (75.374)
Epoch: [43][2160/14090]	Time 0.745 (0.770)	Data 0.001 (0.003)	Loss 2.4990 (2.1889)	Prec@1 37.500 (44.865)	Prec@5 72.656 (75.376)
Epoch: [43][2170/14090]	Time 0.864 (0.770)	Data 0.001 (0.003)	Loss 2.2914 (2.1893)	Prec@1 42.969 (44.853)	Prec@5 73.438 (75.366)
Epoch: [43][2180/14090]	Time 0.754 (0.770)	Data 0.001 (0.003)	Loss 2.5520 (2.1893)	Prec@1 39.844 (44.857)	Prec@5 67.969 (75.370)
Epoch: [43][2190/14090]	Time 0.756 (0.770)	Data 0.001 (0.003)	Loss 2.0836 (2.1892)	Prec@1 46.094 (44.858)	Prec@5 76.562 (75.374)
Epoch: [43][2200/14090]	Time 0.730 (0.770)	Data 0.001 (0.003)	Loss 2.1359 (2.1897)	Prec@1 42.969 (44.845)	Prec@5 78.906 (75.369)
Epoch: [43][2210/14090]	Time 0.738 (0.770)	Data 0.001 (0.003)	Loss 2.3000 (2.1897)	Prec@1 35.938 (44.840)	Prec@5 77.344 (75.372)
Epoch: [43][2220/14090]	Time 0.748 (0.770)	Data 0.001 (0.003)	Loss 2.1821 (2.1898)	Prec@1 45.312 (44.837)	Prec@5 74.219 (75.379)
Epoch: [43][2230/14090]	Time 0.745 (0.770)	Data 0.001 (0.003)	Loss 1.9027 (2.1896)	Prec@1 47.656 (44.843)	Prec@5 82.812 (75.383)
Epoch: [43][2240/14090]	Time 0.883 (0.770)	Data 0.001 (0.003)	Loss 2.1577 (2.1899)	Prec@1 43.750 (44.838)	Prec@5 75.781 (75.379)
Epoch: [43][2250/14090]	Time 0.750 (0.770)	Data 0.001 (0.003)	Loss 2.0730 (2.1899)	Prec@1 44.531 (44.841)	Prec@5 80.469 (75.379)
Epoch: [43][2260/14090]	Time 0.762 (0.770)	Data 0.001 (0.003)	Loss 2.3316 (2.1901)	Prec@1 38.281 (44.841)	Prec@5 71.094 (75.376)
Epoch: [43][2270/14090]	Time 0.778 (0.770)	Data 0.001 (0.003)	Loss 2.1703 (2.1899)	Prec@1 46.094 (44.839)	Prec@5 77.344 (75.383)
Epoch: [43][2280/14090]	Time 0.773 (0.770)	Data 0.001 (0.003)	Loss 2.4605 (2.1903)	Prec@1 42.969 (44.829)	Prec@5 70.312 (75.380)
Epoch: [43][2290/14090]	Time 0.772 (0.770)	Data 0.001 (0.003)	Loss 2.1481 (2.1903)	Prec@1 46.094 (44.827)	Prec@5 74.219 (75.378)
Epoch: [43][2300/14090]	Time 0.733 (0.770)	Data 0.001 (0.003)	Loss 2.2859 (2.1905)	Prec@1 38.281 (44.820)	Prec@5 77.344 (75.381)
Epoch: [43][2310/14090]	Time 0.869 (0.770)	Data 0.001 (0.003)	Loss 2.0873 (2.1903)	Prec@1 48.438 (44.825)	Prec@5 75.000 (75.380)
Epoch: [43][2320/14090]	Time 0.778 (0.770)	Data 0.001 (0.003)	Loss 2.3536 (2.1904)	Prec@1 40.625 (44.821)	Prec@5 71.875 (75.382)
Epoch: [43][2330/14090]	Time 0.733 (0.770)	Data 0.001 (0.003)	Loss 2.0599 (2.1907)	Prec@1 49.219 (44.817)	Prec@5 79.688 (75.377)
Epoch: [43][2340/14090]	Time 0.747 (0.770)	Data 0.001 (0.003)	Loss 2.1364 (2.1905)	Prec@1 46.094 (44.823)	Prec@5 75.000 (75.377)
Epoch: [43][2350/14090]	Time 0.740 (0.770)	Data 0.001 (0.003)	Loss 2.2183 (2.1901)	Prec@1 42.188 (44.835)	Prec@5 75.781 (75.381)
Epoch: [43][2360/14090]	Time 0.760 (0.770)	Data 0.001 (0.003)	Loss 1.9466 (2.1901)	Prec@1 49.219 (44.836)	Prec@5 81.250 (75.384)
Epoch: [43][2370/14090]	Time 0.766 (0.770)	Data 0.001 (0.003)	Loss 2.3150 (2.1903)	Prec@1 39.844 (44.835)	Prec@5 72.656 (75.379)
Epoch: [43][2380/14090]	Time 0.845 (0.770)	Data 0.001 (0.003)	Loss 2.1747 (2.1904)	Prec@1 44.531 (44.836)	Prec@5 74.219 (75.379)
Epoch: [43][2390/14090]	Time 0.740 (0.770)	Data 0.001 (0.003)	Loss 2.1216 (2.1907)	Prec@1 45.312 (44.830)	Prec@5 75.781 (75.374)
Epoch: [43][2400/14090]	Time 0.740 (0.770)	Data 0.001 (0.003)	Loss 2.1514 (2.1908)	Prec@1 45.312 (44.829)	Prec@5 73.438 (75.371)
Epoch: [43][2410/14090]	Time 0.745 (0.770)	Data 0.001 (0.003)	Loss 1.7991 (2.1910)	Prec@1 53.906 (44.825)	Prec@5 83.594 (75.364)
Epoch: [43][2420/14090]	Time 0.769 (0.770)	Data 0.001 (0.003)	Loss 2.1837 (2.1911)	Prec@1 40.625 (44.819)	Prec@5 75.000 (75.361)
Epoch: [43][2430/14090]	Time 0.769 (0.770)	Data 0.001 (0.003)	Loss 2.1950 (2.1913)	Prec@1 48.438 (44.818)	Prec@5 75.000 (75.356)
Epoch: [43][2440/14090]	Time 0.726 (0.770)	Data 0.001 (0.003)	Loss 2.0121 (2.1914)	Prec@1 48.438 (44.823)	Prec@5 77.344 (75.349)
Epoch: [43][2450/14090]	Time 0.865 (0.770)	Data 0.001 (0.003)	Loss 2.2074 (2.1911)	Prec@1 46.094 (44.821)	Prec@5 78.906 (75.360)
Epoch: [43][2460/14090]	Time 0.732 (0.770)	Data 0.001 (0.003)	Loss 2.1351 (2.1912)	Prec@1 45.312 (44.820)	Prec@5 79.688 (75.352)
Epoch: [43][2470/14090]	Time 0.742 (0.770)	Data 0.001 (0.003)	Loss 2.3377 (2.1914)	Prec@1 44.531 (44.817)	Prec@5 69.531 (75.345)
Epoch: [43][2480/14090]	Time 0.738 (0.770)	Data 0.001 (0.003)	Loss 2.3785 (2.1917)	Prec@1 40.625 (44.808)	Prec@5 70.312 (75.339)
Epoch: [43][2490/14090]	Time 0.743 (0.770)	Data 0.003 (0.003)	Loss 2.4686 (2.1918)	Prec@1 39.062 (44.808)	Prec@5 74.219 (75.334)
Epoch: [43][2500/14090]	Time 0.767 (0.770)	Data 0.001 (0.003)	Loss 2.3363 (2.1918)	Prec@1 42.188 (44.810)	Prec@5 74.219 (75.336)
Epoch: [43][2510/14090]	Time 0.773 (0.770)	Data 0.001 (0.003)	Loss 2.2435 (2.1917)	Prec@1 41.406 (44.810)	Prec@5 75.000 (75.337)
Epoch: [43][2520/14090]	Time 0.892 (0.770)	Data 0.001 (0.003)	Loss 2.1320 (2.1916)	Prec@1 43.750 (44.806)	Prec@5 75.000 (75.337)
Epoch: [43][2530/14090]	Time 0.761 (0.770)	Data 0.001 (0.003)	Loss 2.4073 (2.1915)	Prec@1 39.062 (44.806)	Prec@5 75.781 (75.345)
Epoch: [43][2540/14090]	Time 0.749 (0.770)	Data 0.001 (0.003)	Loss 2.3287 (2.1916)	Prec@1 45.312 (44.813)	Prec@5 70.312 (75.344)
Epoch: [43][2550/14090]	Time 0.754 (0.770)	Data 0.003 (0.003)	Loss 1.9814 (2.1915)	Prec@1 48.438 (44.807)	Prec@5 81.250 (75.346)
Epoch: [43][2560/14090]	Time 0.743 (0.770)	Data 0.001 (0.003)	Loss 2.0446 (2.1914)	Prec@1 49.219 (44.812)	Prec@5 76.562 (75.345)
Epoch: [43][2570/14090]	Time 0.759 (0.770)	Data 0.001 (0.003)	Loss 2.1695 (2.1915)	Prec@1 43.750 (44.811)	Prec@5 78.125 (75.349)
Epoch: [43][2580/14090]	Time 0.741 (0.770)	Data 0.001 (0.003)	Loss 2.3934 (2.1914)	Prec@1 44.531 (44.812)	Prec@5 64.844 (75.353)
Epoch: [43][2590/14090]	Time 0.876 (0.770)	Data 0.001 (0.003)	Loss 2.4000 (2.1917)	Prec@1 39.062 (44.804)	Prec@5 72.656 (75.349)
Epoch: [43][2600/14090]	Time 0.738 (0.770)	Data 0.001 (0.003)	Loss 2.2437 (2.1919)	Prec@1 45.312 (44.796)	Prec@5 72.656 (75.345)
Epoch: [43][2610/14090]	Time 0.755 (0.770)	Data 0.001 (0.003)	Loss 2.0622 (2.1919)	Prec@1 51.562 (44.795)	Prec@5 77.344 (75.349)
Epoch: [43][2620/14090]	Time 0.736 (0.770)	Data 0.001 (0.003)	Loss 2.1506 (2.1919)	Prec@1 43.750 (44.797)	Prec@5 78.906 (75.348)
Epoch: [43][2630/14090]	Time 0.735 (0.770)	Data 0.001 (0.003)	Loss 2.1614 (2.1923)	Prec@1 49.219 (44.800)	Prec@5 75.000 (75.341)
Epoch: [43][2640/14090]	Time 0.746 (0.770)	Data 0.001 (0.003)	Loss 2.3194 (2.1925)	Prec@1 39.844 (44.797)	Prec@5 73.438 (75.338)
Epoch: [43][2650/14090]	Time 0.745 (0.770)	Data 0.001 (0.003)	Loss 2.2748 (2.1923)	Prec@1 39.844 (44.803)	Prec@5 73.438 (75.338)
Epoch: [43][2660/14090]	Time 0.871 (0.770)	Data 0.001 (0.003)	Loss 2.1415 (2.1928)	Prec@1 51.562 (44.794)	Prec@5 74.219 (75.329)
Epoch: [43][2670/14090]	Time 0.758 (0.770)	Data 0.001 (0.003)	Loss 2.1866 (2.1930)	Prec@1 44.531 (44.792)	Prec@5 71.094 (75.325)
Epoch: [43][2680/14090]	Time 0.777 (0.770)	Data 0.001 (0.003)	Loss 2.1336 (2.1932)	Prec@1 41.406 (44.794)	Prec@5 75.000 (75.322)
Epoch: [43][2690/14090]	Time 0.789 (0.770)	Data 0.001 (0.003)	Loss 1.8040 (2.1932)	Prec@1 53.125 (44.792)	Prec@5 80.469 (75.320)
Epoch: [43][2700/14090]	Time 0.733 (0.770)	Data 0.001 (0.003)	Loss 2.0021 (2.1931)	Prec@1 50.000 (44.795)	Prec@5 77.344 (75.320)
Epoch: [43][2710/14090]	Time 0.750 (0.770)	Data 0.001 (0.003)	Loss 2.1475 (2.1929)	Prec@1 46.094 (44.798)	Prec@5 77.344 (75.321)
Epoch: [43][2720/14090]	Time 0.783 (0.770)	Data 0.001 (0.003)	Loss 2.3200 (2.1929)	Prec@1 42.188 (44.795)	Prec@5 71.094 (75.322)
Epoch: [43][2730/14090]	Time 0.870 (0.770)	Data 0.001 (0.003)	Loss 1.9522 (2.1926)	Prec@1 44.531 (44.795)	Prec@5 82.812 (75.330)
Epoch: [43][2740/14090]	Time 0.732 (0.770)	Data 0.001 (0.003)	Loss 2.0741 (2.1925)	Prec@1 49.219 (44.797)	Prec@5 77.344 (75.333)
Epoch: [43][2750/14090]	Time 0.729 (0.770)	Data 0.001 (0.003)	Loss 2.2471 (2.1926)	Prec@1 37.500 (44.795)	Prec@5 73.438 (75.328)
Epoch: [43][2760/14090]	Time 0.754 (0.770)	Data 0.001 (0.003)	Loss 2.3023 (2.1928)	Prec@1 49.219 (44.792)	Prec@5 71.094 (75.319)
Epoch: [43][2770/14090]	Time 0.742 (0.770)	Data 0.001 (0.003)	Loss 2.2698 (2.1930)	Prec@1 49.219 (44.789)	Prec@5 75.781 (75.316)
Epoch: [43][2780/14090]	Time 0.735 (0.770)	Data 0.001 (0.003)	Loss 2.1634 (2.1930)	Prec@1 37.500 (44.780)	Prec@5 76.562 (75.318)
Epoch: [43][2790/14090]	Time 0.757 (0.770)	Data 0.001 (0.003)	Loss 1.9879 (2.1931)	Prec@1 50.000 (44.777)	Prec@5 81.250 (75.316)
Epoch: [43][2800/14090]	Time 0.876 (0.770)	Data 0.001 (0.003)	Loss 2.0946 (2.1931)	Prec@1 50.781 (44.775)	Prec@5 74.219 (75.317)
Epoch: [43][2810/14090]	Time 0.752 (0.770)	Data 0.001 (0.003)	Loss 2.1946 (2.1931)	Prec@1 44.531 (44.771)	Prec@5 74.219 (75.319)
Epoch: [43][2820/14090]	Time 0.729 (0.770)	Data 0.001 (0.003)	Loss 2.0306 (2.1929)	Prec@1 49.219 (44.774)	Prec@5 80.469 (75.326)
Epoch: [43][2830/14090]	Time 0.741 (0.770)	Data 0.001 (0.003)	Loss 2.5227 (2.1930)	Prec@1 39.844 (44.771)	Prec@5 66.406 (75.320)
Epoch: [43][2840/14090]	Time 0.728 (0.770)	Data 0.001 (0.003)	Loss 1.8910 (2.1930)	Prec@1 51.562 (44.770)	Prec@5 78.906 (75.321)
Epoch: [43][2850/14090]	Time 0.740 (0.770)	Data 0.001 (0.003)	Loss 2.4032 (2.1933)	Prec@1 39.844 (44.767)	Prec@5 71.094 (75.316)
Epoch: [43][2860/14090]	Time 0.721 (0.770)	Data 0.001 (0.003)	Loss 2.0440 (2.1931)	Prec@1 50.000 (44.766)	Prec@5 74.219 (75.316)
Epoch: [43][2870/14090]	Time 0.886 (0.770)	Data 0.001 (0.003)	Loss 2.0863 (2.1932)	Prec@1 48.438 (44.761)	Prec@5 78.125 (75.314)
Epoch: [43][2880/14090]	Time 0.742 (0.770)	Data 0.001 (0.003)	Loss 2.4457 (2.1932)	Prec@1 42.969 (44.760)	Prec@5 71.094 (75.307)
Epoch: [43][2890/14090]	Time 0.777 (0.770)	Data 0.001 (0.003)	Loss 1.9615 (2.1928)	Prec@1 52.344 (44.765)	Prec@5 78.125 (75.316)
Epoch: [43][2900/14090]	Time 0.761 (0.770)	Data 0.001 (0.003)	Loss 2.0904 (2.1928)	Prec@1 46.094 (44.760)	Prec@5 78.906 (75.319)
Epoch: [43][2910/14090]	Time 0.748 (0.770)	Data 0.001 (0.003)	Loss 2.2388 (2.1927)	Prec@1 42.188 (44.759)	Prec@5 75.000 (75.316)
Epoch: [43][2920/14090]	Time 0.736 (0.770)	Data 0.001 (0.003)	Loss 2.0939 (2.1928)	Prec@1 46.094 (44.756)	Prec@5 77.344 (75.314)
Epoch: [43][2930/14090]	Time 0.734 (0.770)	Data 0.001 (0.003)	Loss 2.4027 (2.1930)	Prec@1 36.719 (44.753)	Prec@5 71.875 (75.312)
Epoch: [43][2940/14090]	Time 0.849 (0.770)	Data 0.001 (0.003)	Loss 2.3230 (2.1931)	Prec@1 46.094 (44.753)	Prec@5 70.312 (75.314)
Epoch: [43][2950/14090]	Time 0.771 (0.770)	Data 0.001 (0.003)	Loss 2.2672 (2.1931)	Prec@1 42.188 (44.753)	Prec@5 74.219 (75.312)
Epoch: [43][2960/14090]	Time 0.740 (0.770)	Data 0.001 (0.003)	Loss 2.0495 (2.1930)	Prec@1 48.438 (44.753)	Prec@5 76.562 (75.312)
Epoch: [43][2970/14090]	Time 0.786 (0.770)	Data 0.001 (0.003)	Loss 2.2748 (2.1931)	Prec@1 46.094 (44.753)	Prec@5 74.219 (75.311)
Epoch: [43][2980/14090]	Time 0.747 (0.770)	Data 0.001 (0.003)	Loss 2.1519 (2.1930)	Prec@1 48.438 (44.751)	Prec@5 77.344 (75.313)
Epoch: [43][2990/14090]	Time 0.767 (0.770)	Data 0.001 (0.003)	Loss 2.1589 (2.1930)	Prec@1 48.438 (44.753)	Prec@5 75.000 (75.311)
Epoch: [43][3000/14090]	Time 0.770 (0.770)	Data 0.001 (0.003)	Loss 2.3065 (2.1933)	Prec@1 46.094 (44.749)	Prec@5 69.531 (75.303)
Epoch: [43][3010/14090]	Time 0.839 (0.770)	Data 0.001 (0.002)	Loss 2.5114 (2.1933)	Prec@1 39.844 (44.751)	Prec@5 73.438 (75.303)
Epoch: [43][3020/14090]	Time 0.768 (0.770)	Data 0.001 (0.002)	Loss 2.3167 (2.1935)	Prec@1 39.844 (44.747)	Prec@5 68.750 (75.297)
Epoch: [43][3030/14090]	Time 0.725 (0.770)	Data 0.001 (0.002)	Loss 2.2717 (2.1934)	Prec@1 46.875 (44.748)	Prec@5 72.656 (75.302)
Epoch: [43][3040/14090]	Time 0.761 (0.770)	Data 0.001 (0.002)	Loss 2.3121 (2.1936)	Prec@1 45.312 (44.748)	Prec@5 73.438 (75.303)
Epoch: [43][3050/14090]	Time 0.778 (0.770)	Data 0.001 (0.002)	Loss 2.0769 (2.1935)	Prec@1 48.438 (44.751)	Prec@5 74.219 (75.301)
Epoch: [43][3060/14090]	Time 0.750 (0.770)	Data 0.001 (0.002)	Loss 2.1639 (2.1937)	Prec@1 39.844 (44.749)	Prec@5 75.781 (75.300)
Epoch: [43][3070/14090]	Time 0.729 (0.770)	Data 0.001 (0.002)	Loss 2.2939 (2.1935)	Prec@1 40.625 (44.748)	Prec@5 73.438 (75.304)
Epoch: [43][3080/14090]	Time 0.879 (0.770)	Data 0.001 (0.002)	Loss 2.1950 (2.1936)	Prec@1 42.188 (44.745)	Prec@5 71.875 (75.303)
Epoch: [43][3090/14090]	Time 0.738 (0.770)	Data 0.001 (0.002)	Loss 1.9716 (2.1934)	Prec@1 47.656 (44.744)	Prec@5 75.000 (75.306)
Epoch: [43][3100/14090]	Time 0.771 (0.770)	Data 0.001 (0.002)	Loss 2.3982 (2.1934)	Prec@1 46.094 (44.747)	Prec@5 66.406 (75.302)
Epoch: [43][3110/14090]	Time 0.780 (0.770)	Data 0.001 (0.002)	Loss 2.0533 (2.1934)	Prec@1 42.188 (44.740)	Prec@5 78.906 (75.304)
Epoch: [43][3120/14090]	Time 0.735 (0.770)	Data 0.001 (0.002)	Loss 2.3696 (2.1938)	Prec@1 44.531 (44.738)	Prec@5 73.438 (75.299)
Epoch: [43][3130/14090]	Time 0.763 (0.770)	Data 0.001 (0.002)	Loss 2.3628 (2.1939)	Prec@1 44.531 (44.739)	Prec@5 71.875 (75.299)
Epoch: [43][3140/14090]	Time 0.728 (0.770)	Data 0.001 (0.002)	Loss 2.0416 (2.1937)	Prec@1 45.312 (44.739)	Prec@5 81.250 (75.305)
Epoch: [43][3150/14090]	Time 0.845 (0.770)	Data 0.001 (0.002)	Loss 2.0441 (2.1935)	Prec@1 43.750 (44.742)	Prec@5 77.344 (75.307)
Epoch: [43][3160/14090]	Time 0.740 (0.770)	Data 0.001 (0.002)	Loss 2.5207 (2.1935)	Prec@1 39.062 (44.747)	Prec@5 69.531 (75.310)
Epoch: [43][3170/14090]	Time 0.731 (0.770)	Data 0.001 (0.002)	Loss 2.1971 (2.1935)	Prec@1 47.656 (44.750)	Prec@5 73.438 (75.307)
Epoch: [43][3180/14090]	Time 0.759 (0.770)	Data 0.001 (0.002)	Loss 1.9977 (2.1936)	Prec@1 46.094 (44.750)	Prec@5 78.125 (75.305)
Epoch: [43][3190/14090]	Time 0.738 (0.770)	Data 0.001 (0.002)	Loss 2.2409 (2.1934)	Prec@1 41.406 (44.752)	Prec@5 72.656 (75.310)
Epoch: [43][3200/14090]	Time 0.733 (0.770)	Data 0.001 (0.002)	Loss 2.4776 (2.1937)	Prec@1 42.969 (44.748)	Prec@5 68.750 (75.303)
Epoch: [43][3210/14090]	Time 0.754 (0.770)	Data 0.001 (0.002)	Loss 1.9879 (2.1933)	Prec@1 53.906 (44.758)	Prec@5 78.906 (75.310)
Epoch: [43][3220/14090]	Time 0.859 (0.770)	Data 0.001 (0.002)	Loss 2.2816 (2.1933)	Prec@1 46.094 (44.763)	Prec@5 72.656 (75.314)
Epoch: [43][3230/14090]	Time 0.745 (0.770)	Data 0.001 (0.002)	Loss 2.1469 (2.1932)	Prec@1 45.312 (44.768)	Prec@5 74.219 (75.315)
Epoch: [43][3240/14090]	Time 0.744 (0.770)	Data 0.001 (0.002)	Loss 2.3584 (2.1932)	Prec@1 44.531 (44.772)	Prec@5 70.312 (75.316)
Epoch: [43][3250/14090]	Time 0.757 (0.770)	Data 0.001 (0.002)	Loss 2.2582 (2.1933)	Prec@1 40.625 (44.769)	Prec@5 75.781 (75.311)
Epoch: [43][3260/14090]	Time 0.742 (0.770)	Data 0.001 (0.002)	Loss 2.0755 (2.1934)	Prec@1 50.781 (44.766)	Prec@5 76.562 (75.310)
Epoch: [43][3270/14090]	Time 0.764 (0.770)	Data 0.001 (0.002)	Loss 2.1980 (2.1932)	Prec@1 42.969 (44.771)	Prec@5 74.219 (75.315)
Epoch: [43][3280/14090]	Time 0.735 (0.770)	Data 0.001 (0.002)	Loss 2.3126 (2.1935)	Prec@1 43.750 (44.766)	Prec@5 71.875 (75.305)
Epoch: [43][3290/14090]	Time 0.911 (0.770)	Data 0.001 (0.002)	Loss 2.3112 (2.1936)	Prec@1 40.625 (44.767)	Prec@5 71.875 (75.303)
Epoch: [43][3300/14090]	Time 0.761 (0.770)	Data 0.001 (0.002)	Loss 2.0893 (2.1935)	Prec@1 50.000 (44.770)	Prec@5 78.125 (75.303)
Epoch: [43][3310/14090]	Time 0.737 (0.769)	Data 0.001 (0.002)	Loss 2.5391 (2.1938)	Prec@1 37.500 (44.768)	Prec@5 72.656 (75.294)
Epoch: [43][3320/14090]	Time 0.721 (0.769)	Data 0.001 (0.002)	Loss 2.1730 (2.1940)	Prec@1 46.875 (44.766)	Prec@5 76.562 (75.289)
Epoch: [43][3330/14090]	Time 0.754 (0.769)	Data 0.001 (0.002)	Loss 2.4303 (2.1941)	Prec@1 43.750 (44.768)	Prec@5 75.000 (75.291)
Epoch: [43][3340/14090]	Time 0.742 (0.769)	Data 0.001 (0.002)	Loss 2.1418 (2.1940)	Prec@1 47.656 (44.768)	Prec@5 78.125 (75.292)
Epoch: [43][3350/14090]	Time 0.739 (0.769)	Data 0.001 (0.002)	Loss 2.2374 (2.1940)	Prec@1 43.750 (44.766)	Prec@5 73.438 (75.289)
Epoch: [43][3360/14090]	Time 0.890 (0.769)	Data 0.001 (0.002)	Loss 2.1823 (2.1942)	Prec@1 40.625 (44.759)	Prec@5 74.219 (75.285)
Epoch: [43][3370/14090]	Time 0.768 (0.769)	Data 0.002 (0.002)	Loss 2.1542 (2.1942)	Prec@1 44.531 (44.757)	Prec@5 75.781 (75.286)
Epoch: [43][3380/14090]	Time 0.740 (0.769)	Data 0.001 (0.002)	Loss 1.9836 (2.1942)	Prec@1 46.094 (44.750)	Prec@5 80.469 (75.285)
Epoch: [43][3390/14090]	Time 0.735 (0.769)	Data 0.001 (0.002)	Loss 2.2909 (2.1939)	Prec@1 43.750 (44.755)	Prec@5 72.656 (75.291)
Epoch: [43][3400/14090]	Time 0.759 (0.769)	Data 0.001 (0.002)	Loss 2.1643 (2.1941)	Prec@1 43.750 (44.748)	Prec@5 76.562 (75.289)
Epoch: [43][3410/14090]	Time 0.743 (0.769)	Data 0.001 (0.002)	Loss 2.0608 (2.1943)	Prec@1 42.188 (44.742)	Prec@5 78.906 (75.288)
Epoch: [43][3420/14090]	Time 0.733 (0.769)	Data 0.001 (0.002)	Loss 2.4032 (2.1945)	Prec@1 42.188 (44.738)	Prec@5 76.562 (75.288)
Epoch: [43][3430/14090]	Time 0.853 (0.769)	Data 0.001 (0.002)	Loss 2.1393 (2.1944)	Prec@1 45.312 (44.738)	Prec@5 75.000 (75.287)
Epoch: [43][3440/14090]	Time 0.757 (0.769)	Data 0.001 (0.002)	Loss 1.9795 (2.1943)	Prec@1 55.469 (44.742)	Prec@5 75.781 (75.289)
Epoch: [43][3450/14090]	Time 0.730 (0.769)	Data 0.001 (0.002)	Loss 2.2823 (2.1942)	Prec@1 43.750 (44.745)	Prec@5 73.438 (75.289)
Epoch: [43][3460/14090]	Time 0.778 (0.769)	Data 0.001 (0.002)	Loss 1.9512 (2.1941)	Prec@1 57.031 (44.750)	Prec@5 79.688 (75.290)
Epoch: [43][3470/14090]	Time 0.725 (0.769)	Data 0.001 (0.002)	Loss 2.2359 (2.1942)	Prec@1 47.656 (44.746)	Prec@5 75.781 (75.286)
Epoch: [43][3480/14090]	Time 0.749 (0.769)	Data 0.001 (0.002)	Loss 2.3167 (2.1944)	Prec@1 40.625 (44.742)	Prec@5 72.656 (75.280)
Epoch: [43][3490/14090]	Time 0.760 (0.769)	Data 0.001 (0.002)	Loss 2.1534 (2.1941)	Prec@1 50.000 (44.750)	Prec@5 75.000 (75.287)
Epoch: [43][3500/14090]	Time 0.863 (0.769)	Data 0.001 (0.002)	Loss 2.1966 (2.1941)	Prec@1 39.844 (44.744)	Prec@5 75.781 (75.287)
Epoch: [43][3510/14090]	Time 0.732 (0.769)	Data 0.001 (0.002)	Loss 2.1832 (2.1940)	Prec@1 43.750 (44.746)	Prec@5 76.562 (75.289)
Epoch: [43][3520/14090]	Time 0.735 (0.769)	Data 0.001 (0.002)	Loss 2.3618 (2.1942)	Prec@1 43.750 (44.738)	Prec@5 69.531 (75.286)
Epoch: [43][3530/14090]	Time 0.754 (0.769)	Data 0.001 (0.002)	Loss 2.0419 (2.1944)	Prec@1 42.969 (44.736)	Prec@5 77.344 (75.285)
Epoch: [43][3540/14090]	Time 0.757 (0.769)	Data 0.001 (0.002)	Loss 2.1754 (2.1945)	Prec@1 44.531 (44.733)	Prec@5 79.688 (75.280)
Epoch: [43][3550/14090]	Time 0.750 (0.769)	Data 0.001 (0.002)	Loss 2.1555 (2.1944)	Prec@1 42.188 (44.738)	Prec@5 76.562 (75.283)
Epoch: [43][3560/14090]	Time 0.758 (0.769)	Data 0.001 (0.002)	Loss 2.3115 (2.1943)	Prec@1 43.750 (44.737)	Prec@5 75.781 (75.285)
Epoch: [43][3570/14090]	Time 0.912 (0.769)	Data 0.001 (0.002)	Loss 2.4573 (2.1943)	Prec@1 38.281 (44.735)	Prec@5 73.438 (75.288)
Epoch: [43][3580/14090]	Time 0.768 (0.769)	Data 0.001 (0.002)	Loss 2.1991 (2.1942)	Prec@1 44.531 (44.736)	Prec@5 72.656 (75.291)
Epoch: [43][3590/14090]	Time 0.780 (0.769)	Data 0.001 (0.002)	Loss 1.9701 (2.1942)	Prec@1 47.656 (44.735)	Prec@5 82.031 (75.292)
Epoch: [43][3600/14090]	Time 0.752 (0.769)	Data 0.001 (0.002)	Loss 1.8881 (2.1940)	Prec@1 50.781 (44.738)	Prec@5 78.906 (75.294)
Epoch: [43][3610/14090]	Time 0.729 (0.769)	Data 0.001 (0.002)	Loss 2.2999 (2.1939)	Prec@1 41.406 (44.739)	Prec@5 71.875 (75.296)
Epoch: [43][3620/14090]	Time 0.754 (0.769)	Data 0.001 (0.002)	Loss 2.0425 (2.1939)	Prec@1 46.875 (44.742)	Prec@5 77.344 (75.296)
Epoch: [43][3630/14090]	Time 0.751 (0.769)	Data 0.001 (0.002)	Loss 2.3112 (2.1941)	Prec@1 42.188 (44.737)	Prec@5 72.656 (75.292)
Epoch: [43][3640/14090]	Time 0.923 (0.769)	Data 0.001 (0.002)	Loss 2.2993 (2.1942)	Prec@1 43.750 (44.736)	Prec@5 73.438 (75.291)
Epoch: [43][3650/14090]	Time 0.769 (0.769)	Data 0.002 (0.002)	Loss 2.2429 (2.1942)	Prec@1 45.312 (44.736)	Prec@5 74.219 (75.291)
Epoch: [43][3660/14090]	Time 0.743 (0.769)	Data 0.001 (0.002)	Loss 2.0575 (2.1942)	Prec@1 40.625 (44.733)	Prec@5 78.125 (75.292)
Epoch: [43][3670/14090]	Time 0.809 (0.769)	Data 0.001 (0.002)	Loss 2.0167 (2.1940)	Prec@1 48.438 (44.730)	Prec@5 77.344 (75.297)
Epoch: [43][3680/14090]	Time 0.749 (0.769)	Data 0.001 (0.002)	Loss 2.2610 (2.1943)	Prec@1 46.875 (44.724)	Prec@5 72.656 (75.287)
Epoch: [43][3690/14090]	Time 0.764 (0.769)	Data 0.001 (0.002)	Loss 2.2361 (2.1944)	Prec@1 44.531 (44.719)	Prec@5 69.531 (75.283)
Epoch: [43][3700/14090]	Time 0.757 (0.769)	Data 0.001 (0.002)	Loss 2.3006 (2.1945)	Prec@1 42.969 (44.716)	Prec@5 72.656 (75.278)
Epoch: [43][3710/14090]	Time 0.832 (0.769)	Data 0.001 (0.002)	Loss 2.1567 (2.1946)	Prec@1 45.312 (44.710)	Prec@5 80.469 (75.274)
Epoch: [43][3720/14090]	Time 0.777 (0.769)	Data 0.001 (0.002)	Loss 2.0718 (2.1946)	Prec@1 45.312 (44.710)	Prec@5 78.906 (75.271)
Epoch: [43][3730/14090]	Time 0.782 (0.769)	Data 0.001 (0.002)	Loss 2.1916 (2.1948)	Prec@1 47.656 (44.708)	Prec@5 74.219 (75.267)
Epoch: [43][3740/14090]	Time 0.734 (0.769)	Data 0.001 (0.002)	Loss 2.0657 (2.1950)	Prec@1 53.125 (44.709)	Prec@5 79.688 (75.264)
Epoch: [43][3750/14090]	Time 0.752 (0.769)	Data 0.001 (0.002)	Loss 2.2780 (2.1949)	Prec@1 43.750 (44.707)	Prec@5 78.906 (75.267)
Epoch: [43][3760/14090]	Time 0.764 (0.769)	Data 0.003 (0.002)	Loss 2.3566 (2.1948)	Prec@1 41.406 (44.711)	Prec@5 71.094 (75.268)
Epoch: [43][3770/14090]	Time 0.775 (0.769)	Data 0.001 (0.002)	Loss 1.9423 (2.1948)	Prec@1 44.531 (44.707)	Prec@5 82.812 (75.268)
Epoch: [43][3780/14090]	Time 0.856 (0.769)	Data 0.001 (0.002)	Loss 1.9850 (2.1948)	Prec@1 53.125 (44.709)	Prec@5 78.906 (75.270)
Epoch: [43][3790/14090]	Time 0.771 (0.769)	Data 0.001 (0.002)	Loss 2.3202 (2.1949)	Prec@1 39.062 (44.703)	Prec@5 73.438 (75.269)
Epoch: [43][3800/14090]	Time 0.749 (0.769)	Data 0.001 (0.002)	Loss 2.3540 (2.1950)	Prec@1 42.969 (44.703)	Prec@5 69.531 (75.262)
Epoch: [43][3810/14090]	Time 0.769 (0.769)	Data 0.001 (0.002)	Loss 2.2481 (2.1951)	Prec@1 38.281 (44.701)	Prec@5 73.438 (75.261)
Epoch: [43][3820/14090]	Time 0.755 (0.769)	Data 0.001 (0.002)	Loss 2.1212 (2.1952)	Prec@1 42.188 (44.700)	Prec@5 71.875 (75.256)
Epoch: [43][3830/14090]	Time 0.750 (0.769)	Data 0.001 (0.002)	Loss 2.2182 (2.1952)	Prec@1 40.625 (44.699)	Prec@5 75.000 (75.256)
Epoch: [43][3840/14090]	Time 0.755 (0.769)	Data 0.001 (0.002)	Loss 2.5006 (2.1954)	Prec@1 40.625 (44.697)	Prec@5 68.750 (75.252)
Epoch: [43][3850/14090]	Time 0.855 (0.769)	Data 0.001 (0.002)	Loss 2.1594 (2.1954)	Prec@1 53.125 (44.696)	Prec@5 75.781 (75.250)
Epoch: [43][3860/14090]	Time 0.777 (0.769)	Data 0.001 (0.002)	Loss 2.1092 (2.1954)	Prec@1 41.406 (44.695)	Prec@5 78.125 (75.251)
Epoch: [43][3870/14090]	Time 0.747 (0.769)	Data 0.001 (0.002)	Loss 2.0708 (2.1954)	Prec@1 45.312 (44.695)	Prec@5 80.469 (75.250)
Epoch: [43][3880/14090]	Time 0.760 (0.769)	Data 0.001 (0.002)	Loss 2.0699 (2.1953)	Prec@1 46.094 (44.701)	Prec@5 78.125 (75.254)
Epoch: [43][3890/14090]	Time 0.746 (0.769)	Data 0.001 (0.002)	Loss 2.4224 (2.1954)	Prec@1 42.188 (44.698)	Prec@5 72.656 (75.253)
Epoch: [43][3900/14090]	Time 0.756 (0.769)	Data 0.001 (0.002)	Loss 1.9258 (2.1952)	Prec@1 52.344 (44.700)	Prec@5 79.688 (75.256)
Epoch: [43][3910/14090]	Time 0.758 (0.769)	Data 0.001 (0.002)	Loss 2.1015 (2.1950)	Prec@1 46.094 (44.702)	Prec@5 74.219 (75.257)
Epoch: [43][3920/14090]	Time 0.869 (0.769)	Data 0.001 (0.002)	Loss 2.0211 (2.1949)	Prec@1 43.750 (44.703)	Prec@5 76.562 (75.261)
Epoch: [43][3930/14090]	Time 0.772 (0.769)	Data 0.001 (0.002)	Loss 2.1627 (2.1948)	Prec@1 41.406 (44.702)	Prec@5 76.562 (75.264)
Epoch: [43][3940/14090]	Time 0.743 (0.769)	Data 0.001 (0.002)	Loss 2.0223 (2.1948)	Prec@1 48.438 (44.699)	Prec@5 78.125 (75.264)
Epoch: [43][3950/14090]	Time 0.756 (0.769)	Data 0.001 (0.002)	Loss 2.2423 (2.1950)	Prec@1 50.000 (44.698)	Prec@5 75.781 (75.263)
Epoch: [43][3960/14090]	Time 0.734 (0.769)	Data 0.001 (0.002)	Loss 2.2255 (2.1948)	Prec@1 47.656 (44.699)	Prec@5 71.094 (75.268)
Epoch: [43][3970/14090]	Time 0.757 (0.769)	Data 0.001 (0.002)	Loss 2.3861 (2.1948)	Prec@1 43.750 (44.699)	Prec@5 67.969 (75.268)
Epoch: [43][3980/14090]	Time 0.771 (0.769)	Data 0.001 (0.002)	Loss 2.5135 (2.1949)	Prec@1 40.625 (44.694)	Prec@5 67.969 (75.265)
Epoch: [43][3990/14090]	Time 0.875 (0.769)	Data 0.001 (0.002)	Loss 2.0729 (2.1948)	Prec@1 49.219 (44.694)	Prec@5 76.562 (75.269)
Epoch: [43][4000/14090]	Time 0.746 (0.769)	Data 0.001 (0.002)	Loss 2.2685 (2.1946)	Prec@1 40.625 (44.698)	Prec@5 71.094 (75.271)
Epoch: [43][4010/14090]	Time 0.754 (0.769)	Data 0.001 (0.002)	Loss 2.2161 (2.1945)	Prec@1 46.094 (44.701)	Prec@5 70.312 (75.266)
Epoch: [43][4020/14090]	Time 0.736 (0.769)	Data 0.001 (0.002)	Loss 2.3032 (2.1946)	Prec@1 42.188 (44.701)	Prec@5 69.531 (75.266)
Epoch: [43][4030/14090]	Time 0.724 (0.769)	Data 0.001 (0.002)	Loss 2.2253 (2.1946)	Prec@1 48.438 (44.697)	Prec@5 73.438 (75.265)
Epoch: [43][4040/14090]	Time 0.736 (0.769)	Data 0.001 (0.002)	Loss 1.9477 (2.1944)	Prec@1 53.906 (44.699)	Prec@5 82.031 (75.266)
Epoch: [43][4050/14090]	Time 0.738 (0.769)	Data 0.001 (0.002)	Loss 2.0712 (2.1942)	Prec@1 48.438 (44.703)	Prec@5 77.344 (75.268)
Epoch: [43][4060/14090]	Time 0.853 (0.769)	Data 0.001 (0.002)	Loss 2.3888 (2.1942)	Prec@1 38.281 (44.700)	Prec@5 69.531 (75.265)
Epoch: [43][4070/14090]	Time 0.747 (0.769)	Data 0.002 (0.002)	Loss 2.2262 (2.1940)	Prec@1 45.312 (44.706)	Prec@5 75.000 (75.271)
Epoch: [43][4080/14090]	Time 0.751 (0.769)	Data 0.001 (0.002)	Loss 2.2179 (2.1940)	Prec@1 44.531 (44.709)	Prec@5 79.688 (75.272)
Epoch: [43][4090/14090]	Time 0.757 (0.769)	Data 0.001 (0.002)	Loss 2.3097 (2.1941)	Prec@1 42.188 (44.702)	Prec@5 71.875 (75.269)
Epoch: [43][4100/14090]	Time 0.720 (0.769)	Data 0.001 (0.002)	Loss 2.4869 (2.1943)	Prec@1 42.188 (44.700)	Prec@5 74.219 (75.265)
Epoch: [43][4110/14090]	Time 0.755 (0.769)	Data 0.001 (0.002)	Loss 2.0680 (2.1943)	Prec@1 42.188 (44.697)	Prec@5 78.906 (75.269)
Epoch: [43][4120/14090]	Time 0.729 (0.769)	Data 0.001 (0.002)	Loss 2.3295 (2.1943)	Prec@1 37.500 (44.698)	Prec@5 73.438 (75.268)
Epoch: [43][4130/14090]	Time 0.874 (0.769)	Data 0.001 (0.002)	Loss 2.5649 (2.1944)	Prec@1 39.062 (44.694)	Prec@5 72.656 (75.267)
Epoch: [43][4140/14090]	Time 0.735 (0.769)	Data 0.001 (0.002)	Loss 2.1622 (2.1944)	Prec@1 44.531 (44.692)	Prec@5 74.219 (75.269)
Epoch: [43][4150/14090]	Time 0.751 (0.769)	Data 0.001 (0.002)	Loss 2.0937 (2.1944)	Prec@1 43.750 (44.688)	Prec@5 75.000 (75.265)
Epoch: [43][4160/14090]	Time 0.752 (0.769)	Data 0.001 (0.002)	Loss 2.1916 (2.1946)	Prec@1 49.219 (44.688)	Prec@5 78.906 (75.263)
Epoch: [43][4170/14090]	Time 0.744 (0.769)	Data 0.001 (0.002)	Loss 2.2657 (2.1942)	Prec@1 46.094 (44.693)	Prec@5 74.219 (75.274)
Epoch: [43][4180/14090]	Time 0.757 (0.769)	Data 0.001 (0.002)	Loss 2.3048 (2.1942)	Prec@1 45.312 (44.694)	Prec@5 70.312 (75.276)
Epoch: [43][4190/14090]	Time 0.748 (0.769)	Data 0.001 (0.002)	Loss 2.3149 (2.1943)	Prec@1 37.500 (44.693)	Prec@5 75.000 (75.277)
Epoch: [43][4200/14090]	Time 0.919 (0.769)	Data 0.001 (0.002)	Loss 2.0677 (2.1944)	Prec@1 44.531 (44.692)	Prec@5 75.000 (75.277)
Epoch: [43][4210/14090]	Time 0.749 (0.769)	Data 0.001 (0.002)	Loss 2.0812 (2.1942)	Prec@1 50.000 (44.696)	Prec@5 78.125 (75.280)
Epoch: [43][4220/14090]	Time 0.780 (0.769)	Data 0.001 (0.002)	Loss 2.3482 (2.1942)	Prec@1 42.969 (44.696)	Prec@5 72.656 (75.281)
Epoch: [43][4230/14090]	Time 0.758 (0.769)	Data 0.001 (0.002)	Loss 2.2285 (2.1943)	Prec@1 45.312 (44.694)	Prec@5 76.562 (75.281)
Epoch: [43][4240/14090]	Time 0.756 (0.769)	Data 0.001 (0.002)	Loss 2.0227 (2.1945)	Prec@1 49.219 (44.691)	Prec@5 75.781 (75.279)
Epoch: [43][4250/14090]	Time 0.759 (0.769)	Data 0.001 (0.002)	Loss 2.1811 (2.1945)	Prec@1 44.531 (44.687)	Prec@5 77.344 (75.278)
Epoch: [43][4260/14090]	Time 0.730 (0.769)	Data 0.001 (0.002)	Loss 2.1782 (2.1944)	Prec@1 49.219 (44.690)	Prec@5 75.000 (75.280)
Epoch: [43][4270/14090]	Time 0.852 (0.769)	Data 0.001 (0.002)	Loss 2.0726 (2.1943)	Prec@1 44.531 (44.693)	Prec@5 75.781 (75.282)
Epoch: [43][4280/14090]	Time 0.754 (0.769)	Data 0.001 (0.002)	Loss 2.0473 (2.1943)	Prec@1 50.000 (44.693)	Prec@5 74.219 (75.284)
Epoch: [43][4290/14090]	Time 0.747 (0.769)	Data 0.001 (0.002)	Loss 2.1463 (2.1942)	Prec@1 46.094 (44.691)	Prec@5 71.875 (75.285)
Epoch: [43][4300/14090]	Time 0.731 (0.769)	Data 0.001 (0.002)	Loss 2.4619 (2.1944)	Prec@1 41.406 (44.686)	Prec@5 71.094 (75.281)
Epoch: [43][4310/14090]	Time 0.751 (0.769)	Data 0.001 (0.002)	Loss 2.1901 (2.1945)	Prec@1 39.062 (44.685)	Prec@5 74.219 (75.277)
Epoch: [43][4320/14090]	Time 0.755 (0.769)	Data 0.001 (0.002)	Loss 2.3147 (2.1946)	Prec@1 42.969 (44.687)	Prec@5 75.000 (75.274)
Epoch: [43][4330/14090]	Time 0.752 (0.769)	Data 0.001 (0.002)	Loss 2.1620 (2.1947)	Prec@1 44.531 (44.683)	Prec@5 78.125 (75.270)
Epoch: [43][4340/14090]	Time 0.856 (0.769)	Data 0.001 (0.002)	Loss 2.0468 (2.1947)	Prec@1 43.750 (44.681)	Prec@5 75.000 (75.270)
Epoch: [43][4350/14090]	Time 0.730 (0.769)	Data 0.001 (0.002)	Loss 2.0611 (2.1947)	Prec@1 46.875 (44.681)	Prec@5 78.906 (75.270)
Epoch: [43][4360/14090]	Time 0.781 (0.769)	Data 0.001 (0.002)	Loss 2.1849 (2.1946)	Prec@1 40.625 (44.681)	Prec@5 77.344 (75.269)
Epoch: [43][4370/14090]	Time 0.745 (0.769)	Data 0.001 (0.002)	Loss 2.0223 (2.1945)	Prec@1 48.438 (44.685)	Prec@5 78.125 (75.271)
Epoch: [43][4380/14090]	Time 0.717 (0.769)	Data 0.001 (0.002)	Loss 1.7943 (2.1944)	Prec@1 46.094 (44.684)	Prec@5 81.250 (75.270)
Epoch: [43][4390/14090]	Time 0.729 (0.769)	Data 0.001 (0.002)	Loss 2.1739 (2.1944)	Prec@1 45.312 (44.687)	Prec@5 75.781 (75.268)
Epoch: [43][4400/14090]	Time 0.766 (0.769)	Data 0.001 (0.002)	Loss 2.3701 (2.1945)	Prec@1 42.969 (44.682)	Prec@5 70.312 (75.268)
Epoch: [43][4410/14090]	Time 0.884 (0.769)	Data 0.001 (0.002)	Loss 2.1093 (2.1945)	Prec@1 45.312 (44.681)	Prec@5 75.000 (75.269)
Epoch: [43][4420/14090]	Time 0.738 (0.769)	Data 0.004 (0.002)	Loss 2.1130 (2.1944)	Prec@1 52.344 (44.684)	Prec@5 79.688 (75.271)
Epoch: [43][4430/14090]	Time 0.743 (0.769)	Data 0.001 (0.002)	Loss 2.5400 (2.1943)	Prec@1 38.281 (44.686)	Prec@5 72.656 (75.274)
Epoch: [43][4440/14090]	Time 0.758 (0.769)	Data 0.001 (0.002)	Loss 2.2044 (2.1945)	Prec@1 43.750 (44.683)	Prec@5 70.312 (75.271)
Epoch: [43][4450/14090]	Time 0.726 (0.769)	Data 0.001 (0.002)	Loss 2.2582 (2.1946)	Prec@1 42.969 (44.678)	Prec@5 75.000 (75.270)
Epoch: [43][4460/14090]	Time 0.763 (0.769)	Data 0.001 (0.002)	Loss 2.1890 (2.1945)	Prec@1 46.094 (44.678)	Prec@5 76.562 (75.273)
Epoch: [43][4470/14090]	Time 0.760 (0.769)	Data 0.001 (0.002)	Loss 2.2362 (2.1946)	Prec@1 44.531 (44.675)	Prec@5 76.562 (75.272)
Epoch: [43][4480/14090]	Time 0.863 (0.769)	Data 0.001 (0.002)	Loss 2.0078 (2.1946)	Prec@1 45.312 (44.672)	Prec@5 79.688 (75.271)
Epoch: [43][4490/14090]	Time 0.757 (0.769)	Data 0.001 (0.002)	Loss 1.9824 (2.1946)	Prec@1 46.875 (44.671)	Prec@5 82.031 (75.271)
Epoch: [43][4500/14090]	Time 0.777 (0.769)	Data 0.001 (0.002)	Loss 2.3767 (2.1945)	Prec@1 39.062 (44.674)	Prec@5 71.875 (75.273)
Epoch: [43][4510/14090]	Time 0.772 (0.769)	Data 0.001 (0.002)	Loss 2.5874 (2.1945)	Prec@1 35.938 (44.674)	Prec@5 71.875 (75.274)
Epoch: [43][4520/14090]	Time 0.751 (0.769)	Data 0.001 (0.002)	Loss 2.1100 (2.1946)	Prec@1 47.656 (44.672)	Prec@5 73.438 (75.270)
Epoch: [43][4530/14090]	Time 0.763 (0.769)	Data 0.001 (0.002)	Loss 2.1889 (2.1947)	Prec@1 44.531 (44.673)	Prec@5 75.781 (75.270)
Epoch: [43][4540/14090]	Time 0.734 (0.769)	Data 0.001 (0.002)	Loss 2.5343 (2.1947)	Prec@1 39.844 (44.675)	Prec@5 70.312 (75.270)
Epoch: [43][4550/14090]	Time 0.893 (0.769)	Data 0.001 (0.002)	Loss 2.2684 (2.1946)	Prec@1 45.312 (44.676)	Prec@5 71.094 (75.271)
Epoch: [43][4560/14090]	Time 0.763 (0.769)	Data 0.001 (0.002)	Loss 2.2395 (2.1947)	Prec@1 44.531 (44.675)	Prec@5 71.875 (75.267)
Epoch: [43][4570/14090]	Time 0.736 (0.769)	Data 0.001 (0.002)	Loss 2.3511 (2.1947)	Prec@1 42.188 (44.680)	Prec@5 71.875 (75.266)
Epoch: [43][4580/14090]	Time 0.741 (0.769)	Data 0.001 (0.002)	Loss 2.4999 (2.1946)	Prec@1 38.281 (44.681)	Prec@5 71.094 (75.267)
Epoch: [43][4590/14090]	Time 0.771 (0.769)	Data 0.001 (0.002)	Loss 2.4462 (2.1947)	Prec@1 35.156 (44.682)	Prec@5 76.562 (75.264)
Epoch: [43][4600/14090]	Time 0.750 (0.769)	Data 0.001 (0.002)	Loss 2.1538 (2.1946)	Prec@1 46.875 (44.684)	Prec@5 76.562 (75.265)
Epoch: [43][4610/14090]	Time 0.739 (0.769)	Data 0.001 (0.002)	Loss 2.0831 (2.1946)	Prec@1 46.094 (44.686)	Prec@5 76.562 (75.262)
Epoch: [43][4620/14090]	Time 0.871 (0.769)	Data 0.001 (0.002)	Loss 2.1583 (2.1947)	Prec@1 46.094 (44.683)	Prec@5 74.219 (75.260)
Epoch: [43][4630/14090]	Time 0.746 (0.769)	Data 0.001 (0.002)	Loss 2.3041 (2.1948)	Prec@1 47.656 (44.683)	Prec@5 72.656 (75.258)
Epoch: [43][4640/14090]	Time 0.727 (0.769)	Data 0.001 (0.002)	Loss 2.2885 (2.1949)	Prec@1 36.719 (44.678)	Prec@5 73.438 (75.256)
Epoch: [43][4650/14090]	Time 0.748 (0.769)	Data 0.001 (0.002)	Loss 2.3297 (2.1950)	Prec@1 42.969 (44.677)	Prec@5 72.656 (75.257)
Epoch: [43][4660/14090]	Time 0.761 (0.769)	Data 0.001 (0.002)	Loss 2.2778 (2.1953)	Prec@1 40.625 (44.673)	Prec@5 76.562 (75.254)
Epoch: [43][4670/14090]	Time 0.743 (0.769)	Data 0.001 (0.002)	Loss 2.1040 (2.1955)	Prec@1 46.094 (44.673)	Prec@5 75.781 (75.253)
Epoch: [43][4680/14090]	Time 0.756 (0.769)	Data 0.001 (0.002)	Loss 2.2582 (2.1954)	Prec@1 41.406 (44.673)	Prec@5 69.531 (75.254)
Epoch: [43][4690/14090]	Time 0.909 (0.769)	Data 0.001 (0.002)	Loss 2.2142 (2.1953)	Prec@1 45.312 (44.678)	Prec@5 78.125 (75.256)
Epoch: [43][4700/14090]	Time 0.724 (0.769)	Data 0.001 (0.002)	Loss 2.1060 (2.1955)	Prec@1 42.188 (44.675)	Prec@5 78.906 (75.253)
Epoch: [43][4710/14090]	Time 0.735 (0.769)	Data 0.001 (0.002)	Loss 1.9414 (2.1954)	Prec@1 52.344 (44.674)	Prec@5 81.250 (75.255)
Epoch: [43][4720/14090]	Time 0.740 (0.769)	Data 0.001 (0.002)	Loss 2.3048 (2.1953)	Prec@1 44.531 (44.676)	Prec@5 75.000 (75.256)
Epoch: [43][4730/14090]	Time 0.755 (0.769)	Data 0.001 (0.002)	Loss 2.2931 (2.1955)	Prec@1 43.750 (44.677)	Prec@5 75.000 (75.251)
Epoch: [43][4740/14090]	Time 0.746 (0.769)	Data 0.001 (0.002)	Loss 1.8318 (2.1954)	Prec@1 50.781 (44.677)	Prec@5 79.688 (75.251)
Epoch: [43][4750/14090]	Time 0.755 (0.769)	Data 0.001 (0.002)	Loss 2.1736 (2.1955)	Prec@1 41.406 (44.679)	Prec@5 78.906 (75.251)
Epoch: [43][4760/14090]	Time 1.003 (0.769)	Data 0.001 (0.002)	Loss 2.2285 (2.1954)	Prec@1 38.281 (44.682)	Prec@5 76.562 (75.252)
Epoch: [43][4770/14090]	Time 0.740 (0.769)	Data 0.001 (0.002)	Loss 2.0552 (2.1952)	Prec@1 49.219 (44.684)	Prec@5 78.125 (75.258)
Epoch: [43][4780/14090]	Time 0.762 (0.769)	Data 0.001 (0.002)	Loss 2.2806 (2.1952)	Prec@1 44.531 (44.686)	Prec@5 71.875 (75.258)
Epoch: [43][4790/14090]	Time 0.722 (0.769)	Data 0.001 (0.002)	Loss 2.3637 (2.1953)	Prec@1 41.406 (44.683)	Prec@5 71.094 (75.256)
Epoch: [43][4800/14090]	Time 0.733 (0.769)	Data 0.001 (0.002)	Loss 2.2489 (2.1953)	Prec@1 43.750 (44.685)	Prec@5 71.875 (75.254)
Epoch: [43][4810/14090]	Time 0.765 (0.769)	Data 0.001 (0.002)	Loss 2.1628 (2.1952)	Prec@1 41.406 (44.686)	Prec@5 75.781 (75.255)
Epoch: [43][4820/14090]	Time 0.741 (0.769)	Data 0.001 (0.002)	Loss 2.2636 (2.1952)	Prec@1 42.969 (44.685)	Prec@5 75.781 (75.255)
Epoch: [43][4830/14090]	Time 0.855 (0.769)	Data 0.001 (0.002)	Loss 2.1248 (2.1952)	Prec@1 46.094 (44.689)	Prec@5 78.906 (75.254)
Epoch: [43][4840/14090]	Time 0.772 (0.769)	Data 0.001 (0.002)	Loss 2.1658 (2.1953)	Prec@1 42.969 (44.687)	Prec@5 71.875 (75.255)
Epoch: [43][4850/14090]	Time 0.756 (0.769)	Data 0.002 (0.002)	Loss 2.1172 (2.1952)	Prec@1 50.781 (44.691)	Prec@5 75.000 (75.256)
Epoch: [43][4860/14090]	Time 0.739 (0.769)	Data 0.001 (0.002)	Loss 2.5789 (2.1953)	Prec@1 35.156 (44.687)	Prec@5 67.188 (75.257)
Epoch: [43][4870/14090]	Time 0.722 (0.769)	Data 0.001 (0.002)	Loss 2.1421 (2.1952)	Prec@1 46.094 (44.686)	Prec@5 77.344 (75.259)
Epoch: [43][4880/14090]	Time 0.769 (0.769)	Data 0.001 (0.002)	Loss 2.3719 (2.1953)	Prec@1 40.625 (44.682)	Prec@5 74.219 (75.259)
Epoch: [43][4890/14090]	Time 0.752 (0.769)	Data 0.001 (0.002)	Loss 2.2455 (2.1952)	Prec@1 47.656 (44.684)	Prec@5 75.000 (75.261)
Epoch: [43][4900/14090]	Time 0.838 (0.769)	Data 0.001 (0.002)	Loss 2.3253 (2.1953)	Prec@1 37.500 (44.681)	Prec@5 73.438 (75.260)
Epoch: [43][4910/14090]	Time 0.756 (0.769)	Data 0.001 (0.002)	Loss 2.0126 (2.1954)	Prec@1 46.094 (44.681)	Prec@5 75.000 (75.258)
Epoch: [43][4920/14090]	Time 0.764 (0.769)	Data 0.003 (0.002)	Loss 2.3241 (2.1955)	Prec@1 39.062 (44.680)	Prec@5 71.094 (75.257)
Epoch: [43][4930/14090]	Time 0.753 (0.769)	Data 0.001 (0.002)	Loss 2.1868 (2.1955)	Prec@1 42.188 (44.677)	Prec@5 74.219 (75.256)
Epoch: [43][4940/14090]	Time 0.741 (0.769)	Data 0.001 (0.002)	Loss 2.4090 (2.1957)	Prec@1 33.594 (44.671)	Prec@5 66.406 (75.251)
Epoch: [43][4950/14090]	Time 0.756 (0.769)	Data 0.001 (0.002)	Loss 2.0504 (2.1957)	Prec@1 40.625 (44.667)	Prec@5 76.562 (75.249)
Epoch: [43][4960/14090]	Time 0.775 (0.769)	Data 0.001 (0.002)	Loss 2.3071 (2.1958)	Prec@1 39.844 (44.665)	Prec@5 71.094 (75.246)
Epoch: [43][4970/14090]	Time 0.918 (0.769)	Data 0.001 (0.002)	Loss 2.2388 (2.1957)	Prec@1 44.531 (44.671)	Prec@5 75.781 (75.250)
Epoch: [43][4980/14090]	Time 0.752 (0.769)	Data 0.001 (0.002)	Loss 1.9077 (2.1957)	Prec@1 47.656 (44.671)	Prec@5 82.031 (75.247)
Epoch: [43][4990/14090]	Time 0.755 (0.769)	Data 0.002 (0.002)	Loss 1.7442 (2.1956)	Prec@1 53.906 (44.671)	Prec@5 85.938 (75.249)
Epoch: [43][5000/14090]	Time 0.781 (0.769)	Data 0.001 (0.002)	Loss 2.4158 (2.1957)	Prec@1 36.719 (44.667)	Prec@5 70.312 (75.250)
Epoch: [43][5010/14090]	Time 0.738 (0.769)	Data 0.001 (0.002)	Loss 2.3548 (2.1958)	Prec@1 42.188 (44.663)	Prec@5 67.969 (75.249)
Epoch: [43][5020/14090]	Time 0.760 (0.769)	Data 0.001 (0.002)	Loss 2.1703 (2.1958)	Prec@1 41.406 (44.663)	Prec@5 78.906 (75.251)
Epoch: [43][5030/14090]	Time 0.763 (0.769)	Data 0.001 (0.002)	Loss 2.1884 (2.1960)	Prec@1 48.438 (44.664)	Prec@5 73.438 (75.247)
Epoch: [43][5040/14090]	Time 0.861 (0.769)	Data 0.001 (0.002)	Loss 2.3665 (2.1960)	Prec@1 44.531 (44.660)	Prec@5 72.656 (75.248)
Epoch: [43][5050/14090]	Time 0.746 (0.769)	Data 0.001 (0.002)	Loss 2.0059 (2.1960)	Prec@1 56.250 (44.662)	Prec@5 78.906 (75.249)
Epoch: [43][5060/14090]	Time 0.752 (0.769)	Data 0.001 (0.002)	Loss 2.3893 (2.1961)	Prec@1 37.500 (44.660)	Prec@5 71.094 (75.245)
Epoch: [43][5070/14090]	Time 0.736 (0.769)	Data 0.001 (0.002)	Loss 2.1787 (2.1962)	Prec@1 48.438 (44.659)	Prec@5 75.781 (75.243)
Epoch: [43][5080/14090]	Time 0.755 (0.769)	Data 0.001 (0.002)	Loss 2.0054 (2.1963)	Prec@1 43.750 (44.657)	Prec@5 81.250 (75.244)
Epoch: [43][5090/14090]	Time 0.754 (0.769)	Data 0.001 (0.002)	Loss 1.9480 (2.1962)	Prec@1 46.094 (44.655)	Prec@5 79.688 (75.246)
Epoch: [43][5100/14090]	Time 0.780 (0.769)	Data 0.001 (0.002)	Loss 2.1374 (2.1962)	Prec@1 39.844 (44.655)	Prec@5 78.906 (75.246)
Epoch: [43][5110/14090]	Time 0.849 (0.769)	Data 0.001 (0.002)	Loss 2.1627 (2.1961)	Prec@1 50.000 (44.656)	Prec@5 73.438 (75.246)
Epoch: [43][5120/14090]	Time 0.756 (0.769)	Data 0.001 (0.002)	Loss 2.1492 (2.1963)	Prec@1 44.531 (44.654)	Prec@5 76.562 (75.245)
Epoch: [43][5130/14090]	Time 0.726 (0.769)	Data 0.001 (0.002)	Loss 2.0495 (2.1962)	Prec@1 46.094 (44.657)	Prec@5 75.781 (75.245)
Epoch: [43][5140/14090]	Time 0.763 (0.769)	Data 0.001 (0.002)	Loss 2.3457 (2.1962)	Prec@1 42.188 (44.655)	Prec@5 70.312 (75.244)
Epoch: [43][5150/14090]	Time 0.727 (0.769)	Data 0.001 (0.002)	Loss 2.2773 (2.1963)	Prec@1 40.625 (44.652)	Prec@5 71.094 (75.242)
Epoch: [43][5160/14090]	Time 0.764 (0.769)	Data 0.001 (0.002)	Loss 2.3718 (2.1960)	Prec@1 41.406 (44.658)	Prec@5 75.000 (75.247)
Epoch: [43][5170/14090]	Time 0.745 (0.769)	Data 0.001 (0.002)	Loss 2.1136 (2.1961)	Prec@1 50.781 (44.660)	Prec@5 75.781 (75.242)
Epoch: [43][5180/14090]	Time 0.855 (0.769)	Data 0.001 (0.002)	Loss 2.1685 (2.1963)	Prec@1 45.312 (44.658)	Prec@5 74.219 (75.237)
Epoch: [43][5190/14090]	Time 0.734 (0.769)	Data 0.001 (0.002)	Loss 2.3414 (2.1963)	Prec@1 47.656 (44.659)	Prec@5 71.875 (75.236)
Epoch: [43][5200/14090]	Time 0.734 (0.769)	Data 0.001 (0.002)	Loss 2.2034 (2.1963)	Prec@1 42.969 (44.659)	Prec@5 76.562 (75.233)
Epoch: [43][5210/14090]	Time 0.739 (0.769)	Data 0.001 (0.002)	Loss 2.3646 (2.1962)	Prec@1 42.969 (44.662)	Prec@5 74.219 (75.235)
Epoch: [43][5220/14090]	Time 0.781 (0.769)	Data 0.001 (0.002)	Loss 2.0883 (2.1961)	Prec@1 41.406 (44.663)	Prec@5 78.906 (75.239)
Epoch: [43][5230/14090]	Time 0.738 (0.769)	Data 0.001 (0.002)	Loss 2.2637 (2.1962)	Prec@1 43.750 (44.662)	Prec@5 73.438 (75.238)
Epoch: [43][5240/14090]	Time 0.735 (0.769)	Data 0.002 (0.002)	Loss 2.4445 (2.1962)	Prec@1 39.844 (44.661)	Prec@5 70.312 (75.237)
Epoch: [43][5250/14090]	Time 0.872 (0.769)	Data 0.001 (0.002)	Loss 2.1860 (2.1961)	Prec@1 44.531 (44.664)	Prec@5 71.875 (75.239)
Epoch: [43][5260/14090]	Time 0.737 (0.769)	Data 0.001 (0.002)	Loss 1.8948 (2.1959)	Prec@1 50.781 (44.667)	Prec@5 83.594 (75.246)
Epoch: [43][5270/14090]	Time 0.774 (0.769)	Data 0.001 (0.002)	Loss 2.1572 (2.1958)	Prec@1 45.312 (44.668)	Prec@5 73.438 (75.247)
Epoch: [43][5280/14090]	Time 0.755 (0.769)	Data 0.001 (0.002)	Loss 2.4679 (2.1959)	Prec@1 38.281 (44.669)	Prec@5 67.188 (75.245)
Epoch: [43][5290/14090]	Time 0.788 (0.769)	Data 0.002 (0.002)	Loss 2.0552 (2.1959)	Prec@1 48.438 (44.668)	Prec@5 76.562 (75.246)
Epoch: [43][5300/14090]	Time 0.752 (0.769)	Data 0.001 (0.002)	Loss 2.0490 (2.1959)	Prec@1 46.875 (44.669)	Prec@5 79.688 (75.247)
Epoch: [43][5310/14090]	Time 0.761 (0.769)	Data 0.001 (0.002)	Loss 2.2187 (2.1957)	Prec@1 46.094 (44.674)	Prec@5 77.344 (75.247)
Epoch: [43][5320/14090]	Time 0.886 (0.769)	Data 0.001 (0.002)	Loss 2.0020 (2.1956)	Prec@1 46.875 (44.675)	Prec@5 78.125 (75.251)
Epoch: [43][5330/14090]	Time 0.759 (0.769)	Data 0.001 (0.002)	Loss 2.5916 (2.1958)	Prec@1 42.188 (44.672)	Prec@5 70.312 (75.247)
Epoch: [43][5340/14090]	Time 0.745 (0.769)	Data 0.001 (0.002)	Loss 2.0959 (2.1958)	Prec@1 50.781 (44.675)	Prec@5 75.000 (75.247)
Epoch: [43][5350/14090]	Time 0.731 (0.769)	Data 0.001 (0.002)	Loss 1.8921 (2.1958)	Prec@1 54.688 (44.673)	Prec@5 79.688 (75.246)
Epoch: [43][5360/14090]	Time 0.764 (0.769)	Data 0.001 (0.002)	Loss 2.2580 (2.1959)	Prec@1 43.750 (44.673)	Prec@5 71.875 (75.245)
Epoch: [43][5370/14090]	Time 0.774 (0.769)	Data 0.001 (0.002)	Loss 2.0071 (2.1958)	Prec@1 47.656 (44.673)	Prec@5 76.562 (75.247)
Epoch: [43][5380/14090]	Time 0.755 (0.769)	Data 0.001 (0.002)	Loss 2.0444 (2.1958)	Prec@1 46.094 (44.676)	Prec@5 80.469 (75.247)
Epoch: [43][5390/14090]	Time 0.855 (0.769)	Data 0.001 (0.002)	Loss 2.1555 (2.1956)	Prec@1 50.781 (44.678)	Prec@5 72.656 (75.249)
Epoch: [43][5400/14090]	Time 0.733 (0.769)	Data 0.001 (0.002)	Loss 2.2603 (2.1956)	Prec@1 42.969 (44.676)	Prec@5 75.000 (75.247)
Epoch: [43][5410/14090]	Time 0.757 (0.769)	Data 0.001 (0.002)	Loss 2.3703 (2.1959)	Prec@1 40.625 (44.672)	Prec@5 71.875 (75.245)
Epoch: [43][5420/14090]	Time 0.720 (0.769)	Data 0.001 (0.002)	Loss 2.4618 (2.1958)	Prec@1 42.188 (44.674)	Prec@5 70.312 (75.247)
Epoch: [43][5430/14090]	Time 0.755 (0.769)	Data 0.001 (0.002)	Loss 2.1570 (2.1958)	Prec@1 48.438 (44.673)	Prec@5 75.781 (75.248)
Epoch: [43][5440/14090]	Time 0.762 (0.769)	Data 0.001 (0.002)	Loss 2.4133 (2.1959)	Prec@1 32.812 (44.672)	Prec@5 69.531 (75.244)
Epoch: [43][5450/14090]	Time 0.764 (0.769)	Data 0.001 (0.002)	Loss 2.3235 (2.1962)	Prec@1 47.656 (44.670)	Prec@5 72.656 (75.240)
Epoch: [43][5460/14090]	Time 0.882 (0.769)	Data 0.001 (0.002)	Loss 2.2561 (2.1962)	Prec@1 46.094 (44.671)	Prec@5 71.094 (75.237)
Epoch: [43][5470/14090]	Time 0.742 (0.769)	Data 0.001 (0.002)	Loss 2.0965 (2.1962)	Prec@1 47.656 (44.674)	Prec@5 74.219 (75.237)
Epoch: [43][5480/14090]	Time 0.749 (0.769)	Data 0.001 (0.002)	Loss 2.0781 (2.1962)	Prec@1 46.875 (44.672)	Prec@5 78.906 (75.238)
Epoch: [43][5490/14090]	Time 0.785 (0.769)	Data 0.001 (0.002)	Loss 2.3664 (2.1963)	Prec@1 35.938 (44.671)	Prec@5 71.094 (75.238)
Epoch: [43][5500/14090]	Time 0.729 (0.769)	Data 0.001 (0.002)	Loss 2.0518 (2.1964)	Prec@1 46.875 (44.667)	Prec@5 78.125 (75.238)
Epoch: [43][5510/14090]	Time 0.744 (0.769)	Data 0.001 (0.002)	Loss 2.2939 (2.1963)	Prec@1 42.969 (44.669)	Prec@5 73.438 (75.241)
Epoch: [43][5520/14090]	Time 0.734 (0.769)	Data 0.001 (0.002)	Loss 2.1586 (2.1963)	Prec@1 50.000 (44.671)	Prec@5 78.906 (75.242)
Epoch: [43][5530/14090]	Time 0.857 (0.769)	Data 0.001 (0.002)	Loss 2.3405 (2.1964)	Prec@1 40.625 (44.671)	Prec@5 72.656 (75.242)
Epoch: [43][5540/14090]	Time 0.731 (0.769)	Data 0.001 (0.002)	Loss 2.0772 (2.1962)	Prec@1 44.531 (44.672)	Prec@5 75.000 (75.245)
Epoch: [43][5550/14090]	Time 0.761 (0.769)	Data 0.001 (0.002)	Loss 2.3559 (2.1963)	Prec@1 45.312 (44.674)	Prec@5 75.781 (75.241)
Epoch: [43][5560/14090]	Time 0.745 (0.769)	Data 0.001 (0.002)	Loss 2.0639 (2.1962)	Prec@1 50.000 (44.673)	Prec@5 75.781 (75.242)
Epoch: [43][5570/14090]	Time 0.737 (0.769)	Data 0.001 (0.002)	Loss 2.2725 (2.1963)	Prec@1 42.969 (44.672)	Prec@5 78.125 (75.243)
Epoch: [43][5580/14090]	Time 0.735 (0.769)	Data 0.001 (0.002)	Loss 2.0314 (2.1961)	Prec@1 51.562 (44.675)	Prec@5 82.031 (75.248)
Epoch: [43][5590/14090]	Time 0.746 (0.769)	Data 0.001 (0.002)	Loss 2.0448 (2.1959)	Prec@1 45.312 (44.676)	Prec@5 78.125 (75.251)
Epoch: [43][5600/14090]	Time 0.909 (0.769)	Data 0.001 (0.002)	Loss 2.3477 (2.1959)	Prec@1 43.750 (44.680)	Prec@5 67.188 (75.250)
Epoch: [43][5610/14090]	Time 0.742 (0.769)	Data 0.001 (0.002)	Loss 2.1646 (2.1961)	Prec@1 52.344 (44.677)	Prec@5 75.000 (75.246)
Epoch: [43][5620/14090]	Time 0.736 (0.769)	Data 0.001 (0.002)	Loss 1.8366 (2.1962)	Prec@1 51.562 (44.675)	Prec@5 81.250 (75.243)
Epoch: [43][5630/14090]	Time 0.736 (0.769)	Data 0.001 (0.002)	Loss 2.0015 (2.1963)	Prec@1 51.562 (44.674)	Prec@5 78.906 (75.241)
Epoch: [43][5640/14090]	Time 0.727 (0.769)	Data 0.001 (0.002)	Loss 2.2310 (2.1962)	Prec@1 44.531 (44.676)	Prec@5 73.438 (75.241)
Epoch: [43][5650/14090]	Time 0.766 (0.769)	Data 0.001 (0.002)	Loss 2.0435 (2.1963)	Prec@1 47.656 (44.672)	Prec@5 82.031 (75.240)
Epoch: [43][5660/14090]	Time 0.728 (0.769)	Data 0.001 (0.002)	Loss 2.2370 (2.1964)	Prec@1 43.750 (44.670)	Prec@5 72.656 (75.238)
Epoch: [43][5670/14090]	Time 0.842 (0.769)	Data 0.001 (0.002)	Loss 2.2631 (2.1964)	Prec@1 43.750 (44.669)	Prec@5 71.875 (75.237)
Epoch: [43][5680/14090]	Time 0.742 (0.769)	Data 0.001 (0.002)	Loss 2.1454 (2.1966)	Prec@1 44.531 (44.664)	Prec@5 76.562 (75.234)
Epoch: [43][5690/14090]	Time 0.760 (0.769)	Data 0.001 (0.002)	Loss 2.1883 (2.1966)	Prec@1 47.656 (44.668)	Prec@5 73.438 (75.234)
Epoch: [43][5700/14090]	Time 0.734 (0.769)	Data 0.001 (0.002)	Loss 2.3762 (2.1966)	Prec@1 39.844 (44.668)	Prec@5 72.656 (75.234)
Epoch: [43][5710/14090]	Time 0.732 (0.769)	Data 0.001 (0.002)	Loss 2.2738 (2.1968)	Prec@1 42.969 (44.663)	Prec@5 73.438 (75.230)
Epoch: [43][5720/14090]	Time 0.726 (0.769)	Data 0.001 (0.002)	Loss 2.2243 (2.1968)	Prec@1 42.969 (44.663)	Prec@5 75.781 (75.231)
Epoch: [43][5730/14090]	Time 0.755 (0.769)	Data 0.001 (0.002)	Loss 2.3623 (2.1968)	Prec@1 43.750 (44.660)	Prec@5 76.562 (75.231)
Epoch: [43][5740/14090]	Time 0.852 (0.769)	Data 0.001 (0.002)	Loss 2.3577 (2.1967)	Prec@1 40.625 (44.658)	Prec@5 67.188 (75.235)
Epoch: [43][5750/14090]	Time 0.757 (0.769)	Data 0.001 (0.002)	Loss 2.2095 (2.1967)	Prec@1 39.844 (44.656)	Prec@5 74.219 (75.234)
Epoch: [43][5760/14090]	Time 0.738 (0.769)	Data 0.001 (0.002)	Loss 2.0926 (2.1967)	Prec@1 50.000 (44.653)	Prec@5 75.000 (75.233)
Epoch: [43][5770/14090]	Time 0.747 (0.769)	Data 0.001 (0.002)	Loss 2.5128 (2.1969)	Prec@1 42.188 (44.653)	Prec@5 69.531 (75.229)
Epoch: [43][5780/14090]	Time 0.762 (0.769)	Data 0.001 (0.002)	Loss 2.0722 (2.1969)	Prec@1 46.875 (44.648)	Prec@5 78.125 (75.230)
Epoch: [43][5790/14090]	Time 0.729 (0.769)	Data 0.001 (0.002)	Loss 2.5265 (2.1969)	Prec@1 40.625 (44.649)	Prec@5 73.438 (75.230)
Epoch: [43][5800/14090]	Time 0.738 (0.769)	Data 0.001 (0.002)	Loss 2.3878 (2.1971)	Prec@1 42.188 (44.647)	Prec@5 71.094 (75.228)
Epoch: [43][5810/14090]	Time 0.826 (0.769)	Data 0.001 (0.002)	Loss 2.0518 (2.1972)	Prec@1 46.094 (44.647)	Prec@5 80.469 (75.227)
Epoch: [43][5820/14090]	Time 0.725 (0.769)	Data 0.001 (0.002)	Loss 2.5293 (2.1973)	Prec@1 39.844 (44.645)	Prec@5 70.312 (75.224)
Epoch: [43][5830/14090]	Time 0.737 (0.769)	Data 0.001 (0.002)	Loss 2.1853 (2.1973)	Prec@1 50.000 (44.645)	Prec@5 71.875 (75.226)
Epoch: [43][5840/14090]	Time 0.751 (0.769)	Data 0.001 (0.002)	Loss 2.3491 (2.1973)	Prec@1 34.375 (44.639)	Prec@5 75.781 (75.225)
Epoch: [43][5850/14090]	Time 0.772 (0.769)	Data 0.001 (0.002)	Loss 2.1636 (2.1973)	Prec@1 44.531 (44.641)	Prec@5 71.875 (75.226)
Epoch: [43][5860/14090]	Time 0.752 (0.769)	Data 0.001 (0.002)	Loss 2.1929 (2.1975)	Prec@1 49.219 (44.636)	Prec@5 79.688 (75.222)
Epoch: [43][5870/14090]	Time 0.727 (0.769)	Data 0.001 (0.002)	Loss 2.4674 (2.1975)	Prec@1 40.625 (44.635)	Prec@5 75.000 (75.223)
Epoch: [43][5880/14090]	Time 0.917 (0.769)	Data 0.001 (0.002)	Loss 2.1443 (2.1975)	Prec@1 47.656 (44.635)	Prec@5 75.781 (75.224)
Epoch: [43][5890/14090]	Time 0.738 (0.769)	Data 0.001 (0.002)	Loss 2.0587 (2.1974)	Prec@1 42.188 (44.635)	Prec@5 78.125 (75.223)
Epoch: [43][5900/14090]	Time 0.724 (0.769)	Data 0.001 (0.002)	Loss 2.3609 (2.1975)	Prec@1 38.281 (44.632)	Prec@5 74.219 (75.221)
Epoch: [43][5910/14090]	Time 0.782 (0.769)	Data 0.001 (0.002)	Loss 2.4043 (2.1976)	Prec@1 39.062 (44.629)	Prec@5 74.219 (75.218)
Epoch: [43][5920/14090]	Time 0.740 (0.769)	Data 0.001 (0.002)	Loss 2.3030 (2.1977)	Prec@1 42.969 (44.626)	Prec@5 71.875 (75.219)
Epoch: [43][5930/14090]	Time 0.778 (0.769)	Data 0.001 (0.002)	Loss 2.0255 (2.1977)	Prec@1 53.125 (44.626)	Prec@5 80.469 (75.216)
Epoch: [43][5940/14090]	Time 0.730 (0.769)	Data 0.001 (0.002)	Loss 2.2676 (2.1978)	Prec@1 42.969 (44.621)	Prec@5 75.000 (75.214)
Epoch: [43][5950/14090]	Time 0.854 (0.769)	Data 0.001 (0.002)	Loss 2.2106 (2.1978)	Prec@1 46.094 (44.622)	Prec@5 71.875 (75.215)
Epoch: [43][5960/14090]	Time 0.750 (0.769)	Data 0.001 (0.002)	Loss 2.2205 (2.1978)	Prec@1 44.531 (44.620)	Prec@5 79.688 (75.215)
Epoch: [43][5970/14090]	Time 0.796 (0.769)	Data 0.001 (0.002)	Loss 2.0723 (2.1979)	Prec@1 45.312 (44.619)	Prec@5 74.219 (75.210)
Epoch: [43][5980/14090]	Time 0.784 (0.769)	Data 0.001 (0.002)	Loss 2.1859 (2.1979)	Prec@1 42.188 (44.616)	Prec@5 75.000 (75.211)
Epoch: [43][5990/14090]	Time 0.726 (0.769)	Data 0.001 (0.002)	Loss 2.2488 (2.1981)	Prec@1 50.000 (44.615)	Prec@5 72.656 (75.210)
Epoch: [43][6000/14090]	Time 0.757 (0.769)	Data 0.001 (0.002)	Loss 2.4362 (2.1982)	Prec@1 42.969 (44.614)	Prec@5 69.531 (75.210)
Epoch: [43][6010/14090]	Time 0.751 (0.769)	Data 0.001 (0.002)	Loss 2.1386 (2.1981)	Prec@1 46.875 (44.617)	Prec@5 75.781 (75.209)
Epoch: [43][6020/14090]	Time 0.924 (0.769)	Data 0.001 (0.002)	Loss 2.1470 (2.1981)	Prec@1 50.000 (44.616)	Prec@5 73.438 (75.207)
Epoch: [43][6030/14090]	Time 0.781 (0.769)	Data 0.001 (0.002)	Loss 2.2481 (2.1983)	Prec@1 38.281 (44.615)	Prec@5 75.781 (75.203)
Epoch: [43][6040/14090]	Time 0.758 (0.769)	Data 0.001 (0.002)	Loss 1.8667 (2.1982)	Prec@1 53.906 (44.616)	Prec@5 78.906 (75.204)
Epoch: [43][6050/14090]	Time 0.782 (0.769)	Data 0.001 (0.002)	Loss 1.9304 (2.1983)	Prec@1 50.000 (44.616)	Prec@5 82.031 (75.205)
Epoch: [43][6060/14090]	Time 0.721 (0.769)	Data 0.001 (0.002)	Loss 2.1892 (2.1982)	Prec@1 43.750 (44.616)	Prec@5 72.656 (75.205)
Epoch: [43][6070/14090]	Time 0.742 (0.769)	Data 0.001 (0.002)	Loss 2.2442 (2.1982)	Prec@1 48.438 (44.616)	Prec@5 72.656 (75.205)
Epoch: [43][6080/14090]	Time 0.746 (0.769)	Data 0.001 (0.002)	Loss 2.1716 (2.1982)	Prec@1 41.406 (44.617)	Prec@5 78.125 (75.206)
Epoch: [43][6090/14090]	Time 0.871 (0.769)	Data 0.001 (0.002)	Loss 2.3214 (2.1982)	Prec@1 42.969 (44.615)	Prec@5 73.438 (75.207)
Epoch: [43][6100/14090]	Time 0.786 (0.769)	Data 0.001 (0.002)	Loss 2.3491 (2.1981)	Prec@1 44.531 (44.614)	Prec@5 71.094 (75.208)
Epoch: [43][6110/14090]	Time 0.740 (0.769)	Data 0.001 (0.002)	Loss 2.4555 (2.1980)	Prec@1 32.812 (44.614)	Prec@5 68.750 (75.208)
Epoch: [43][6120/14090]	Time 0.730 (0.769)	Data 0.001 (0.002)	Loss 2.1131 (2.1980)	Prec@1 44.531 (44.614)	Prec@5 74.219 (75.208)
Epoch: [43][6130/14090]	Time 0.782 (0.769)	Data 0.001 (0.002)	Loss 2.3579 (2.1980)	Prec@1 42.969 (44.615)	Prec@5 70.312 (75.206)
Epoch: [43][6140/14090]	Time 0.761 (0.769)	Data 0.001 (0.002)	Loss 2.1199 (2.1981)	Prec@1 48.438 (44.612)	Prec@5 75.000 (75.204)
Epoch: [43][6150/14090]	Time 0.766 (0.769)	Data 0.001 (0.002)	Loss 2.3651 (2.1980)	Prec@1 42.188 (44.615)	Prec@5 73.438 (75.205)
Epoch: [43][6160/14090]	Time 0.915 (0.769)	Data 0.001 (0.002)	Loss 2.2377 (2.1979)	Prec@1 45.312 (44.617)	Prec@5 75.000 (75.205)
Epoch: [43][6170/14090]	Time 0.751 (0.769)	Data 0.001 (0.002)	Loss 2.0803 (2.1979)	Prec@1 46.094 (44.617)	Prec@5 79.688 (75.209)
Epoch: [43][6180/14090]	Time 0.740 (0.769)	Data 0.001 (0.002)	Loss 2.1985 (2.1979)	Prec@1 47.656 (44.618)	Prec@5 74.219 (75.209)
Epoch: [43][6190/14090]	Time 0.757 (0.769)	Data 0.001 (0.002)	Loss 1.9880 (2.1979)	Prec@1 51.562 (44.620)	Prec@5 79.688 (75.208)
Epoch: [43][6200/14090]	Time 0.769 (0.769)	Data 0.001 (0.002)	Loss 2.1093 (2.1978)	Prec@1 47.656 (44.622)	Prec@5 81.250 (75.212)
Epoch: [43][6210/14090]	Time 0.769 (0.769)	Data 0.001 (0.002)	Loss 2.2419 (2.1977)	Prec@1 47.656 (44.623)	Prec@5 72.656 (75.211)
Epoch: [43][6220/14090]	Time 0.741 (0.769)	Data 0.001 (0.002)	Loss 2.0885 (2.1978)	Prec@1 46.875 (44.623)	Prec@5 75.781 (75.208)
Epoch: [43][6230/14090]	Time 0.850 (0.769)	Data 0.001 (0.002)	Loss 2.2217 (2.1978)	Prec@1 43.750 (44.623)	Prec@5 75.000 (75.209)
Epoch: [43][6240/14090]	Time 0.739 (0.769)	Data 0.001 (0.002)	Loss 2.3989 (2.1978)	Prec@1 42.969 (44.625)	Prec@5 71.875 (75.209)
Epoch: [43][6250/14090]	Time 0.757 (0.769)	Data 0.001 (0.002)	Loss 2.1791 (2.1976)	Prec@1 46.094 (44.628)	Prec@5 78.906 (75.211)
Epoch: [43][6260/14090]	Time 0.763 (0.769)	Data 0.001 (0.002)	Loss 2.2671 (2.1977)	Prec@1 45.312 (44.626)	Prec@5 75.000 (75.209)
Epoch: [43][6270/14090]	Time 0.761 (0.769)	Data 0.001 (0.002)	Loss 2.2344 (2.1977)	Prec@1 49.219 (44.625)	Prec@5 71.094 (75.209)
Epoch: [43][6280/14090]	Time 0.727 (0.769)	Data 0.001 (0.002)	Loss 1.9626 (2.1977)	Prec@1 49.219 (44.622)	Prec@5 76.562 (75.207)
Epoch: [43][6290/14090]	Time 0.766 (0.769)	Data 0.001 (0.002)	Loss 2.1229 (2.1977)	Prec@1 43.750 (44.622)	Prec@5 75.000 (75.204)
Epoch: [43][6300/14090]	Time 0.825 (0.769)	Data 0.001 (0.002)	Loss 1.9779 (2.1979)	Prec@1 48.438 (44.619)	Prec@5 81.250 (75.203)
Epoch: [43][6310/14090]	Time 0.740 (0.769)	Data 0.001 (0.002)	Loss 2.3795 (2.1979)	Prec@1 39.844 (44.619)	Prec@5 75.000 (75.204)
Epoch: [43][6320/14090]	Time 0.741 (0.769)	Data 0.001 (0.002)	Loss 2.3458 (2.1980)	Prec@1 40.625 (44.616)	Prec@5 71.094 (75.203)
Epoch: [43][6330/14090]	Time 0.754 (0.769)	Data 0.001 (0.002)	Loss 2.1511 (2.1979)	Prec@1 46.094 (44.616)	Prec@5 78.125 (75.204)
Epoch: [43][6340/14090]	Time 0.772 (0.769)	Data 0.001 (0.002)	Loss 2.4179 (2.1980)	Prec@1 43.750 (44.617)	Prec@5 67.188 (75.200)
Epoch: [43][6350/14090]	Time 0.760 (0.769)	Data 0.001 (0.002)	Loss 2.5147 (2.1980)	Prec@1 34.375 (44.615)	Prec@5 70.312 (75.201)
Epoch: [43][6360/14090]	Time 0.755 (0.769)	Data 0.001 (0.002)	Loss 2.3110 (2.1980)	Prec@1 44.531 (44.617)	Prec@5 72.656 (75.199)
Epoch: [43][6370/14090]	Time 0.840 (0.769)	Data 0.001 (0.002)	Loss 2.3907 (2.1981)	Prec@1 44.531 (44.616)	Prec@5 71.094 (75.199)
Epoch: [43][6380/14090]	Time 0.733 (0.769)	Data 0.001 (0.002)	Loss 2.1786 (2.1980)	Prec@1 42.969 (44.617)	Prec@5 80.469 (75.201)
Epoch: [43][6390/14090]	Time 0.728 (0.769)	Data 0.001 (0.002)	Loss 2.1194 (2.1980)	Prec@1 50.000 (44.619)	Prec@5 76.562 (75.199)
Epoch: [43][6400/14090]	Time 0.725 (0.769)	Data 0.001 (0.002)	Loss 2.0072 (2.1980)	Prec@1 53.906 (44.619)	Prec@5 75.000 (75.198)
Epoch: [43][6410/14090]	Time 0.764 (0.769)	Data 0.001 (0.002)	Loss 2.2462 (2.1980)	Prec@1 41.406 (44.620)	Prec@5 71.875 (75.197)
Epoch: [43][6420/14090]	Time 0.736 (0.769)	Data 0.001 (0.002)	Loss 2.3243 (2.1979)	Prec@1 45.312 (44.622)	Prec@5 66.406 (75.198)
Epoch: [43][6430/14090]	Time 0.737 (0.769)	Data 0.001 (0.002)	Loss 2.1326 (2.1979)	Prec@1 42.188 (44.621)	Prec@5 75.000 (75.200)
Epoch: [43][6440/14090]	Time 0.905 (0.769)	Data 0.001 (0.002)	Loss 2.1413 (2.1978)	Prec@1 47.656 (44.622)	Prec@5 77.344 (75.203)
Epoch: [43][6450/14090]	Time 0.759 (0.769)	Data 0.001 (0.002)	Loss 2.3368 (2.1978)	Prec@1 40.625 (44.623)	Prec@5 75.000 (75.206)
Epoch: [43][6460/14090]	Time 0.765 (0.769)	Data 0.001 (0.002)	Loss 1.9477 (2.1978)	Prec@1 45.312 (44.620)	Prec@5 85.938 (75.206)
Epoch: [43][6470/14090]	Time 0.731 (0.769)	Data 0.001 (0.002)	Loss 2.2093 (2.1979)	Prec@1 39.844 (44.620)	Prec@5 74.219 (75.204)
Epoch: [43][6480/14090]	Time 0.761 (0.769)	Data 0.001 (0.002)	Loss 1.8487 (2.1979)	Prec@1 55.469 (44.623)	Prec@5 78.906 (75.205)
Epoch: [43][6490/14090]	Time 0.746 (0.769)	Data 0.001 (0.002)	Loss 2.0217 (2.1980)	Prec@1 48.438 (44.622)	Prec@5 75.781 (75.201)
Epoch: [43][6500/14090]	Time 0.733 (0.769)	Data 0.001 (0.002)	Loss 2.0700 (2.1980)	Prec@1 40.625 (44.621)	Prec@5 79.688 (75.201)
Epoch: [43][6510/14090]	Time 0.853 (0.769)	Data 0.001 (0.002)	Loss 2.5028 (2.1980)	Prec@1 35.156 (44.620)	Prec@5 69.531 (75.200)
Epoch: [43][6520/14090]	Time 0.772 (0.769)	Data 0.001 (0.002)	Loss 2.2840 (2.1981)	Prec@1 39.844 (44.616)	Prec@5 71.094 (75.199)
Epoch: [43][6530/14090]	Time 0.771 (0.769)	Data 0.001 (0.002)	Loss 2.2084 (2.1980)	Prec@1 46.875 (44.617)	Prec@5 69.531 (75.200)
Epoch: [43][6540/14090]	Time 0.732 (0.769)	Data 0.001 (0.002)	Loss 1.8960 (2.1979)	Prec@1 53.906 (44.622)	Prec@5 78.125 (75.203)
Epoch: [43][6550/14090]	Time 0.789 (0.769)	Data 0.001 (0.002)	Loss 2.2349 (2.1980)	Prec@1 39.062 (44.619)	Prec@5 74.219 (75.201)
Epoch: [43][6560/14090]	Time 0.737 (0.769)	Data 0.001 (0.002)	Loss 2.1060 (2.1980)	Prec@1 47.656 (44.620)	Prec@5 79.688 (75.201)
Epoch: [43][6570/14090]	Time 0.731 (0.769)	Data 0.001 (0.002)	Loss 2.2271 (2.1981)	Prec@1 46.875 (44.619)	Prec@5 74.219 (75.199)
Epoch: [43][6580/14090]	Time 0.837 (0.769)	Data 0.001 (0.002)	Loss 2.3851 (2.1981)	Prec@1 34.375 (44.618)	Prec@5 69.531 (75.200)
Epoch: [43][6590/14090]	Time 0.767 (0.769)	Data 0.001 (0.002)	Loss 2.1466 (2.1981)	Prec@1 45.312 (44.618)	Prec@5 76.562 (75.200)
Epoch: [43][6600/14090]	Time 0.754 (0.769)	Data 0.001 (0.002)	Loss 2.4605 (2.1981)	Prec@1 32.031 (44.614)	Prec@5 71.094 (75.201)
Epoch: [43][6610/14090]	Time 0.751 (0.769)	Data 0.001 (0.002)	Loss 2.2626 (2.1981)	Prec@1 41.406 (44.614)	Prec@5 74.219 (75.201)
Epoch: [43][6620/14090]	Time 0.745 (0.769)	Data 0.001 (0.002)	Loss 1.9696 (2.1981)	Prec@1 42.969 (44.613)	Prec@5 82.031 (75.203)
Epoch: [43][6630/14090]	Time 0.763 (0.769)	Data 0.001 (0.002)	Loss 2.3930 (2.1981)	Prec@1 44.531 (44.613)	Prec@5 72.656 (75.203)
Epoch: [43][6640/14090]	Time 0.773 (0.769)	Data 0.001 (0.002)	Loss 2.0922 (2.1982)	Prec@1 46.094 (44.609)	Prec@5 77.344 (75.202)
Epoch: [43][6650/14090]	Time 0.846 (0.769)	Data 0.001 (0.002)	Loss 2.0849 (2.1982)	Prec@1 46.875 (44.611)	Prec@5 82.031 (75.203)
Epoch: [43][6660/14090]	Time 0.730 (0.769)	Data 0.001 (0.002)	Loss 2.1334 (2.1983)	Prec@1 46.875 (44.609)	Prec@5 75.781 (75.202)
Epoch: [43][6670/14090]	Time 0.761 (0.769)	Data 0.001 (0.002)	Loss 2.3769 (2.1982)	Prec@1 34.375 (44.609)	Prec@5 75.781 (75.202)
Epoch: [43][6680/14090]	Time 0.748 (0.769)	Data 0.001 (0.002)	Loss 2.4029 (2.1984)	Prec@1 45.312 (44.605)	Prec@5 71.875 (75.199)
Epoch: [43][6690/14090]	Time 0.731 (0.769)	Data 0.001 (0.002)	Loss 2.1143 (2.1984)	Prec@1 42.188 (44.604)	Prec@5 73.438 (75.198)
Epoch: [43][6700/14090]	Time 0.755 (0.769)	Data 0.001 (0.002)	Loss 2.2021 (2.1985)	Prec@1 44.531 (44.603)	Prec@5 75.000 (75.197)
Epoch: [43][6710/14090]	Time 0.770 (0.769)	Data 0.001 (0.002)	Loss 2.3951 (2.1985)	Prec@1 42.969 (44.604)	Prec@5 67.969 (75.195)
Epoch: [43][6720/14090]	Time 0.859 (0.769)	Data 0.001 (0.002)	Loss 2.0004 (2.1986)	Prec@1 50.000 (44.604)	Prec@5 80.469 (75.192)
Epoch: [43][6730/14090]	Time 0.779 (0.769)	Data 0.001 (0.002)	Loss 2.2039 (2.1987)	Prec@1 41.406 (44.603)	Prec@5 77.344 (75.191)
Epoch: [43][6740/14090]	Time 0.775 (0.769)	Data 0.001 (0.002)	Loss 2.3499 (2.1987)	Prec@1 45.312 (44.606)	Prec@5 71.875 (75.191)
Epoch: [43][6750/14090]	Time 0.753 (0.769)	Data 0.001 (0.002)	Loss 2.2812 (2.1987)	Prec@1 44.531 (44.604)	Prec@5 73.438 (75.192)
Epoch: [43][6760/14090]	Time 0.737 (0.769)	Data 0.001 (0.002)	Loss 2.1498 (2.1987)	Prec@1 53.906 (44.604)	Prec@5 79.688 (75.192)
Epoch: [43][6770/14090]	Time 0.768 (0.769)	Data 0.001 (0.002)	Loss 2.3883 (2.1987)	Prec@1 44.531 (44.608)	Prec@5 74.219 (75.193)
Epoch: [43][6780/14090]	Time 0.759 (0.769)	Data 0.001 (0.002)	Loss 2.2131 (2.1987)	Prec@1 43.750 (44.608)	Prec@5 68.750 (75.190)
Epoch: [43][6790/14090]	Time 0.860 (0.769)	Data 0.001 (0.002)	Loss 2.3135 (2.1987)	Prec@1 44.531 (44.610)	Prec@5 71.094 (75.188)
Epoch: [43][6800/14090]	Time 0.770 (0.769)	Data 0.001 (0.002)	Loss 2.0800 (2.1987)	Prec@1 49.219 (44.611)	Prec@5 76.562 (75.190)
Epoch: [43][6810/14090]	Time 0.766 (0.769)	Data 0.001 (0.002)	Loss 2.2800 (2.1987)	Prec@1 39.844 (44.609)	Prec@5 72.656 (75.190)
Epoch: [43][6820/14090]	Time 0.748 (0.769)	Data 0.001 (0.002)	Loss 2.2670 (2.1987)	Prec@1 46.094 (44.609)	Prec@5 73.438 (75.192)
Epoch: [43][6830/14090]	Time 0.739 (0.769)	Data 0.001 (0.002)	Loss 1.9092 (2.1986)	Prec@1 50.781 (44.613)	Prec@5 78.125 (75.194)
Epoch: [43][6840/14090]	Time 0.726 (0.769)	Data 0.001 (0.002)	Loss 2.1068 (2.1985)	Prec@1 45.312 (44.614)	Prec@5 75.000 (75.197)
Epoch: [43][6850/14090]	Time 0.742 (0.769)	Data 0.001 (0.002)	Loss 1.9112 (2.1984)	Prec@1 51.562 (44.615)	Prec@5 82.031 (75.200)
Epoch: [43][6860/14090]	Time 0.861 (0.769)	Data 0.001 (0.002)	Loss 2.2269 (2.1983)	Prec@1 47.656 (44.618)	Prec@5 74.219 (75.203)
Epoch: [43][6870/14090]	Time 0.753 (0.769)	Data 0.001 (0.002)	Loss 2.2067 (2.1985)	Prec@1 43.750 (44.614)	Prec@5 75.000 (75.201)
Epoch: [43][6880/14090]	Time 0.740 (0.769)	Data 0.001 (0.002)	Loss 2.3594 (2.1985)	Prec@1 45.312 (44.615)	Prec@5 71.094 (75.201)
Epoch: [43][6890/14090]	Time 0.770 (0.769)	Data 0.001 (0.002)	Loss 2.3454 (2.1986)	Prec@1 44.531 (44.612)	Prec@5 75.000 (75.199)
Epoch: [43][6900/14090]	Time 0.750 (0.769)	Data 0.001 (0.002)	Loss 2.3902 (2.1988)	Prec@1 42.188 (44.609)	Prec@5 73.438 (75.196)
Epoch: [43][6910/14090]	Time 0.764 (0.769)	Data 0.001 (0.002)	Loss 2.4131 (2.1988)	Prec@1 37.500 (44.612)	Prec@5 70.312 (75.196)
Epoch: [43][6920/14090]	Time 0.758 (0.769)	Data 0.001 (0.002)	Loss 2.3471 (2.1988)	Prec@1 35.156 (44.613)	Prec@5 75.000 (75.198)
Epoch: [43][6930/14090]	Time 0.871 (0.769)	Data 0.001 (0.002)	Loss 2.2118 (2.1988)	Prec@1 45.312 (44.613)	Prec@5 74.219 (75.195)
Epoch: [43][6940/14090]	Time 0.736 (0.769)	Data 0.001 (0.002)	Loss 2.1269 (2.1989)	Prec@1 44.531 (44.610)	Prec@5 75.781 (75.194)
Epoch: [43][6950/14090]	Time 0.743 (0.769)	Data 0.001 (0.002)	Loss 2.3563 (2.1989)	Prec@1 46.094 (44.610)	Prec@5 75.000 (75.193)
Epoch: [43][6960/14090]	Time 0.745 (0.769)	Data 0.001 (0.002)	Loss 2.1451 (2.1990)	Prec@1 46.875 (44.609)	Prec@5 71.094 (75.191)
Epoch: [43][6970/14090]	Time 0.729 (0.769)	Data 0.001 (0.002)	Loss 2.4408 (2.1990)	Prec@1 35.156 (44.609)	Prec@5 71.875 (75.191)
Epoch: [43][6980/14090]	Time 0.724 (0.769)	Data 0.001 (0.002)	Loss 2.3579 (2.1991)	Prec@1 41.406 (44.606)	Prec@5 67.188 (75.188)
Epoch: [43][6990/14090]	Time 0.762 (0.769)	Data 0.001 (0.002)	Loss 2.4163 (2.1993)	Prec@1 38.281 (44.603)	Prec@5 71.094 (75.186)
Epoch: [43][7000/14090]	Time 0.849 (0.769)	Data 0.001 (0.002)	Loss 2.4815 (2.1994)	Prec@1 39.844 (44.603)	Prec@5 70.312 (75.185)
Epoch: [43][7010/14090]	Time 0.737 (0.769)	Data 0.001 (0.002)	Loss 2.2001 (2.1994)	Prec@1 44.531 (44.601)	Prec@5 75.000 (75.183)
Epoch: [43][7020/14090]	Time 0.758 (0.769)	Data 0.001 (0.002)	Loss 2.0935 (2.1994)	Prec@1 50.000 (44.601)	Prec@5 74.219 (75.183)
Epoch: [43][7030/14090]	Time 0.742 (0.769)	Data 0.001 (0.002)	Loss 2.2703 (2.1993)	Prec@1 41.406 (44.603)	Prec@5 71.875 (75.184)
Epoch: [43][7040/14090]	Time 0.764 (0.769)	Data 0.001 (0.002)	Loss 1.9750 (2.1992)	Prec@1 50.781 (44.603)	Prec@5 76.562 (75.187)
Epoch: [43][7050/14090]	Time 0.767 (0.769)	Data 0.001 (0.002)	Loss 1.8869 (2.1992)	Prec@1 59.375 (44.608)	Prec@5 81.250 (75.186)
Epoch: [43][7060/14090]	Time 0.736 (0.769)	Data 0.001 (0.002)	Loss 2.4670 (2.1993)	Prec@1 43.750 (44.606)	Prec@5 67.188 (75.182)
Epoch: [43][7070/14090]	Time 0.881 (0.769)	Data 0.001 (0.002)	Loss 2.3155 (2.1994)	Prec@1 37.500 (44.604)	Prec@5 73.438 (75.183)
Epoch: [43][7080/14090]	Time 0.759 (0.769)	Data 0.001 (0.002)	Loss 2.1846 (2.1994)	Prec@1 41.406 (44.604)	Prec@5 72.656 (75.181)
Epoch: [43][7090/14090]	Time 0.754 (0.768)	Data 0.001 (0.002)	Loss 2.0765 (2.1994)	Prec@1 41.406 (44.604)	Prec@5 83.594 (75.182)
Epoch: [43][7100/14090]	Time 0.764 (0.768)	Data 0.001 (0.002)	Loss 2.4461 (2.1993)	Prec@1 41.406 (44.605)	Prec@5 73.438 (75.183)
Epoch: [43][7110/14090]	Time 0.747 (0.768)	Data 0.001 (0.002)	Loss 2.1858 (2.1996)	Prec@1 42.969 (44.601)	Prec@5 78.125 (75.180)
Epoch: [43][7120/14090]	Time 0.732 (0.768)	Data 0.001 (0.002)	Loss 2.0381 (2.1996)	Prec@1 49.219 (44.600)	Prec@5 82.031 (75.180)
Epoch: [43][7130/14090]	Time 0.745 (0.768)	Data 0.001 (0.002)	Loss 2.2181 (2.1998)	Prec@1 44.531 (44.598)	Prec@5 74.219 (75.179)
Epoch: [43][7140/14090]	Time 0.828 (0.768)	Data 0.001 (0.002)	Loss 1.9835 (2.1998)	Prec@1 50.781 (44.596)	Prec@5 82.031 (75.178)
Epoch: [43][7150/14090]	Time 0.731 (0.768)	Data 0.001 (0.002)	Loss 2.0580 (2.1999)	Prec@1 42.188 (44.595)	Prec@5 78.125 (75.175)
Epoch: [43][7160/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 2.1611 (2.1999)	Prec@1 47.656 (44.597)	Prec@5 71.875 (75.176)
Epoch: [43][7170/14090]	Time 0.729 (0.768)	Data 0.001 (0.002)	Loss 2.1275 (2.1998)	Prec@1 49.219 (44.600)	Prec@5 73.438 (75.177)
Epoch: [43][7180/14090]	Time 0.768 (0.768)	Data 0.001 (0.002)	Loss 2.1642 (2.1997)	Prec@1 46.094 (44.603)	Prec@5 78.125 (75.180)
Epoch: [43][7190/14090]	Time 0.726 (0.769)	Data 0.001 (0.002)	Loss 2.3699 (2.1996)	Prec@1 39.062 (44.603)	Prec@5 75.000 (75.181)
Epoch: [43][7200/14090]	Time 0.731 (0.768)	Data 0.001 (0.002)	Loss 2.2678 (2.1996)	Prec@1 45.312 (44.602)	Prec@5 72.656 (75.180)
Epoch: [43][7210/14090]	Time 0.866 (0.769)	Data 0.001 (0.002)	Loss 2.3369 (2.1997)	Prec@1 45.312 (44.604)	Prec@5 72.656 (75.179)
Epoch: [43][7220/14090]	Time 0.750 (0.768)	Data 0.001 (0.002)	Loss 2.1550 (2.1997)	Prec@1 50.781 (44.604)	Prec@5 73.438 (75.179)
Epoch: [43][7230/14090]	Time 0.732 (0.768)	Data 0.001 (0.002)	Loss 2.2563 (2.1996)	Prec@1 45.312 (44.607)	Prec@5 76.562 (75.180)
Epoch: [43][7240/14090]	Time 0.774 (0.768)	Data 0.001 (0.002)	Loss 2.1704 (2.1996)	Prec@1 43.750 (44.609)	Prec@5 75.781 (75.180)
Epoch: [43][7250/14090]	Time 0.775 (0.768)	Data 0.001 (0.002)	Loss 1.7838 (2.1996)	Prec@1 48.438 (44.609)	Prec@5 78.906 (75.179)
Epoch: [43][7260/14090]	Time 0.754 (0.768)	Data 0.001 (0.002)	Loss 2.1199 (2.1996)	Prec@1 45.312 (44.610)	Prec@5 76.562 (75.180)
Epoch: [43][7270/14090]	Time 0.763 (0.768)	Data 0.001 (0.002)	Loss 2.1276 (2.1995)	Prec@1 51.562 (44.612)	Prec@5 78.125 (75.182)
Epoch: [43][7280/14090]	Time 0.861 (0.768)	Data 0.001 (0.002)	Loss 2.5463 (2.1997)	Prec@1 37.500 (44.609)	Prec@5 63.281 (75.179)
Epoch: [43][7290/14090]	Time 0.756 (0.768)	Data 0.001 (0.002)	Loss 2.1445 (2.1997)	Prec@1 43.750 (44.610)	Prec@5 78.125 (75.178)
Epoch: [43][7300/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 2.2936 (2.1997)	Prec@1 35.938 (44.609)	Prec@5 77.344 (75.179)
Epoch: [43][7310/14090]	Time 0.764 (0.768)	Data 0.001 (0.002)	Loss 2.5072 (2.1998)	Prec@1 39.062 (44.611)	Prec@5 67.969 (75.177)
Epoch: [43][7320/14090]	Time 0.784 (0.768)	Data 0.001 (0.002)	Loss 1.9992 (2.1999)	Prec@1 50.000 (44.609)	Prec@5 75.781 (75.175)
Epoch: [43][7330/14090]	Time 0.770 (0.768)	Data 0.001 (0.002)	Loss 2.2822 (2.1999)	Prec@1 43.750 (44.609)	Prec@5 70.312 (75.175)
Epoch: [43][7340/14090]	Time 0.770 (0.768)	Data 0.001 (0.002)	Loss 2.2137 (2.1999)	Prec@1 46.094 (44.613)	Prec@5 70.312 (75.175)
Epoch: [43][7350/14090]	Time 0.876 (0.768)	Data 0.001 (0.002)	Loss 2.3601 (2.1999)	Prec@1 42.969 (44.613)	Prec@5 75.000 (75.177)
Epoch: [43][7360/14090]	Time 0.734 (0.768)	Data 0.001 (0.002)	Loss 2.5684 (2.2001)	Prec@1 31.250 (44.610)	Prec@5 62.500 (75.172)
Epoch: [43][7370/14090]	Time 0.755 (0.768)	Data 0.001 (0.002)	Loss 2.4503 (2.2001)	Prec@1 42.188 (44.610)	Prec@5 66.406 (75.171)
Epoch: [43][7380/14090]	Time 0.735 (0.768)	Data 0.001 (0.002)	Loss 2.4565 (2.2002)	Prec@1 35.938 (44.608)	Prec@5 69.531 (75.170)
Epoch: [43][7390/14090]	Time 0.738 (0.768)	Data 0.001 (0.002)	Loss 2.2083 (2.2002)	Prec@1 44.531 (44.609)	Prec@5 74.219 (75.171)
Epoch: [43][7400/14090]	Time 0.760 (0.768)	Data 0.001 (0.002)	Loss 2.1850 (2.2002)	Prec@1 44.531 (44.609)	Prec@5 75.000 (75.172)
Epoch: [43][7410/14090]	Time 0.730 (0.768)	Data 0.001 (0.002)	Loss 2.5154 (2.2002)	Prec@1 36.719 (44.607)	Prec@5 70.312 (75.169)
Epoch: [43][7420/14090]	Time 0.851 (0.768)	Data 0.001 (0.002)	Loss 2.4665 (2.2003)	Prec@1 34.375 (44.606)	Prec@5 72.656 (75.168)
Epoch: [43][7430/14090]	Time 0.769 (0.768)	Data 0.001 (0.002)	Loss 2.5935 (2.2003)	Prec@1 35.156 (44.605)	Prec@5 68.750 (75.168)
Epoch: [43][7440/14090]	Time 0.734 (0.768)	Data 0.001 (0.002)	Loss 2.1909 (2.2003)	Prec@1 47.656 (44.604)	Prec@5 73.438 (75.169)
Epoch: [43][7450/14090]	Time 0.738 (0.768)	Data 0.001 (0.002)	Loss 2.4531 (2.2002)	Prec@1 43.750 (44.604)	Prec@5 72.656 (75.170)
Epoch: [43][7460/14090]	Time 0.774 (0.768)	Data 0.001 (0.002)	Loss 2.4194 (2.2002)	Prec@1 39.844 (44.605)	Prec@5 68.750 (75.170)
Epoch: [43][7470/14090]	Time 0.762 (0.768)	Data 0.001 (0.002)	Loss 1.9514 (2.2002)	Prec@1 50.000 (44.606)	Prec@5 79.688 (75.170)
Epoch: [43][7480/14090]	Time 0.739 (0.768)	Data 0.001 (0.002)	Loss 2.1015 (2.2001)	Prec@1 45.312 (44.605)	Prec@5 80.469 (75.168)
Epoch: [43][7490/14090]	Time 0.912 (0.768)	Data 0.001 (0.002)	Loss 2.4326 (2.2002)	Prec@1 44.531 (44.605)	Prec@5 71.094 (75.166)
Epoch: [43][7500/14090]	Time 0.774 (0.768)	Data 0.001 (0.002)	Loss 2.1894 (2.2002)	Prec@1 42.969 (44.603)	Prec@5 76.562 (75.167)
Epoch: [43][7510/14090]	Time 0.724 (0.768)	Data 0.001 (0.002)	Loss 2.0669 (2.2002)	Prec@1 47.656 (44.603)	Prec@5 77.344 (75.165)
Epoch: [43][7520/14090]	Time 0.747 (0.768)	Data 0.001 (0.002)	Loss 2.4017 (2.2001)	Prec@1 42.188 (44.607)	Prec@5 72.656 (75.164)
Epoch: [43][7530/14090]	Time 0.769 (0.768)	Data 0.001 (0.002)	Loss 1.8857 (2.2001)	Prec@1 53.125 (44.607)	Prec@5 78.125 (75.163)
Epoch: [43][7540/14090]	Time 0.733 (0.768)	Data 0.001 (0.002)	Loss 2.2011 (2.2001)	Prec@1 40.625 (44.606)	Prec@5 74.219 (75.166)
Epoch: [43][7550/14090]	Time 0.748 (0.768)	Data 0.001 (0.002)	Loss 2.2134 (2.2001)	Prec@1 47.656 (44.602)	Prec@5 77.344 (75.165)
Epoch: [43][7560/14090]	Time 0.877 (0.768)	Data 0.002 (0.002)	Loss 2.1273 (2.2001)	Prec@1 50.000 (44.603)	Prec@5 78.906 (75.168)
Epoch: [43][7570/14090]	Time 0.748 (0.768)	Data 0.001 (0.002)	Loss 2.2637 (2.2001)	Prec@1 42.969 (44.602)	Prec@5 76.562 (75.167)
Epoch: [43][7580/14090]	Time 0.732 (0.768)	Data 0.001 (0.002)	Loss 2.5467 (2.2002)	Prec@1 41.406 (44.601)	Prec@5 68.750 (75.166)
Epoch: [43][7590/14090]	Time 0.764 (0.768)	Data 0.001 (0.002)	Loss 2.0546 (2.2002)	Prec@1 50.781 (44.600)	Prec@5 76.562 (75.166)
Epoch: [43][7600/14090]	Time 0.772 (0.768)	Data 0.001 (0.002)	Loss 2.0345 (2.2001)	Prec@1 44.531 (44.601)	Prec@5 78.906 (75.168)
Epoch: [43][7610/14090]	Time 0.733 (0.768)	Data 0.001 (0.002)	Loss 2.3059 (2.2001)	Prec@1 44.531 (44.602)	Prec@5 73.438 (75.169)
Epoch: [43][7620/14090]	Time 0.732 (0.768)	Data 0.001 (0.002)	Loss 2.4669 (2.2003)	Prec@1 41.406 (44.597)	Prec@5 71.875 (75.166)
Epoch: [43][7630/14090]	Time 0.852 (0.768)	Data 0.001 (0.002)	Loss 2.2336 (2.2002)	Prec@1 43.750 (44.598)	Prec@5 76.562 (75.168)
Epoch: [43][7640/14090]	Time 0.750 (0.768)	Data 0.001 (0.002)	Loss 2.0637 (2.2002)	Prec@1 46.094 (44.598)	Prec@5 80.469 (75.168)
Epoch: [43][7650/14090]	Time 0.741 (0.768)	Data 0.001 (0.002)	Loss 2.2974 (2.2002)	Prec@1 46.094 (44.599)	Prec@5 75.000 (75.168)
Epoch: [43][7660/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 1.9983 (2.2002)	Prec@1 45.312 (44.597)	Prec@5 80.469 (75.167)
Epoch: [43][7670/14090]	Time 0.733 (0.768)	Data 0.001 (0.002)	Loss 2.2498 (2.2001)	Prec@1 42.969 (44.598)	Prec@5 75.000 (75.172)
Epoch: [43][7680/14090]	Time 0.767 (0.768)	Data 0.001 (0.002)	Loss 2.2845 (2.2001)	Prec@1 37.500 (44.597)	Prec@5 72.656 (75.170)
Epoch: [43][7690/14090]	Time 0.732 (0.768)	Data 0.001 (0.002)	Loss 1.9368 (2.2000)	Prec@1 48.438 (44.598)	Prec@5 78.906 (75.171)
Epoch: [43][7700/14090]	Time 0.882 (0.768)	Data 0.001 (0.002)	Loss 2.1855 (2.2000)	Prec@1 41.406 (44.597)	Prec@5 76.562 (75.171)
Epoch: [43][7710/14090]	Time 0.759 (0.768)	Data 0.001 (0.002)	Loss 1.8903 (2.2000)	Prec@1 44.531 (44.594)	Prec@5 79.688 (75.171)
Epoch: [43][7720/14090]	Time 0.736 (0.768)	Data 0.001 (0.002)	Loss 2.4056 (2.2001)	Prec@1 44.531 (44.594)	Prec@5 69.531 (75.171)
Epoch: [43][7730/14090]	Time 0.737 (0.768)	Data 0.001 (0.002)	Loss 2.1369 (2.1999)	Prec@1 46.094 (44.597)	Prec@5 77.344 (75.174)
Epoch: [43][7740/14090]	Time 0.756 (0.768)	Data 0.001 (0.002)	Loss 2.1268 (2.2000)	Prec@1 46.094 (44.597)	Prec@5 81.250 (75.173)
Epoch: [43][7750/14090]	Time 0.743 (0.768)	Data 0.001 (0.002)	Loss 2.2898 (2.2000)	Prec@1 43.750 (44.596)	Prec@5 72.656 (75.172)
Epoch: [43][7760/14090]	Time 0.746 (0.768)	Data 0.001 (0.002)	Loss 2.2120 (2.2000)	Prec@1 46.094 (44.597)	Prec@5 72.656 (75.173)
Epoch: [43][7770/14090]	Time 0.881 (0.768)	Data 0.001 (0.002)	Loss 2.0045 (2.1999)	Prec@1 50.000 (44.597)	Prec@5 79.688 (75.175)
Epoch: [43][7780/14090]	Time 0.731 (0.768)	Data 0.001 (0.002)	Loss 2.0583 (2.1998)	Prec@1 47.656 (44.600)	Prec@5 75.000 (75.176)
Epoch: [43][7790/14090]	Time 0.769 (0.768)	Data 0.001 (0.002)	Loss 1.8960 (2.1999)	Prec@1 53.125 (44.598)	Prec@5 82.812 (75.174)
Epoch: [43][7800/14090]	Time 0.768 (0.768)	Data 0.001 (0.002)	Loss 2.4647 (2.1999)	Prec@1 43.750 (44.599)	Prec@5 68.750 (75.173)
Epoch: [43][7810/14090]	Time 0.730 (0.768)	Data 0.001 (0.002)	Loss 2.2643 (2.1999)	Prec@1 45.312 (44.601)	Prec@5 71.875 (75.173)
Epoch: [43][7820/14090]	Time 0.746 (0.768)	Data 0.001 (0.002)	Loss 2.3258 (2.1999)	Prec@1 41.406 (44.601)	Prec@5 71.094 (75.173)
Epoch: [43][7830/14090]	Time 0.726 (0.768)	Data 0.001 (0.002)	Loss 2.4530 (2.1999)	Prec@1 39.844 (44.600)	Prec@5 72.656 (75.172)
Epoch: [43][7840/14090]	Time 0.890 (0.768)	Data 0.001 (0.002)	Loss 2.2678 (2.2001)	Prec@1 41.406 (44.599)	Prec@5 72.656 (75.169)
Epoch: [43][7850/14090]	Time 0.767 (0.768)	Data 0.001 (0.002)	Loss 2.1472 (2.2001)	Prec@1 42.188 (44.598)	Prec@5 79.688 (75.171)
Epoch: [43][7860/14090]	Time 0.732 (0.768)	Data 0.001 (0.002)	Loss 2.1854 (2.2001)	Prec@1 46.094 (44.597)	Prec@5 71.094 (75.171)
Epoch: [43][7870/14090]	Time 0.729 (0.768)	Data 0.001 (0.002)	Loss 2.1235 (2.2001)	Prec@1 42.969 (44.597)	Prec@5 74.219 (75.172)
Epoch: [43][7880/14090]	Time 0.728 (0.768)	Data 0.001 (0.002)	Loss 2.1694 (2.2000)	Prec@1 52.344 (44.599)	Prec@5 75.000 (75.172)
Epoch: [43][7890/14090]	Time 0.744 (0.768)	Data 0.001 (0.001)	Loss 2.4409 (2.2001)	Prec@1 43.750 (44.598)	Prec@5 67.969 (75.171)
Epoch: [43][7900/14090]	Time 0.734 (0.768)	Data 0.001 (0.001)	Loss 2.2125 (2.2001)	Prec@1 50.000 (44.598)	Prec@5 66.406 (75.171)
Epoch: [43][7910/14090]	Time 0.840 (0.768)	Data 0.001 (0.001)	Loss 2.0731 (2.2001)	Prec@1 47.656 (44.600)	Prec@5 81.250 (75.173)
Epoch: [43][7920/14090]	Time 0.741 (0.768)	Data 0.001 (0.001)	Loss 2.0131 (2.2000)	Prec@1 49.219 (44.602)	Prec@5 77.344 (75.173)
Epoch: [43][7930/14090]	Time 0.737 (0.768)	Data 0.001 (0.001)	Loss 2.4874 (2.2000)	Prec@1 39.062 (44.604)	Prec@5 73.438 (75.175)
Epoch: [43][7940/14090]	Time 0.772 (0.768)	Data 0.001 (0.001)	Loss 2.0960 (2.2000)	Prec@1 44.531 (44.603)	Prec@5 75.000 (75.173)
Epoch: [43][7950/14090]	Time 0.762 (0.768)	Data 0.001 (0.001)	Loss 2.5612 (2.2001)	Prec@1 40.625 (44.603)	Prec@5 68.750 (75.172)
Epoch: [43][7960/14090]	Time 0.758 (0.768)	Data 0.001 (0.001)	Loss 2.3791 (2.2001)	Prec@1 37.500 (44.603)	Prec@5 74.219 (75.172)
Epoch: [43][7970/14090]	Time 0.775 (0.768)	Data 0.001 (0.001)	Loss 2.2063 (2.2001)	Prec@1 42.188 (44.604)	Prec@5 77.344 (75.171)
Epoch: [43][7980/14090]	Time 0.856 (0.768)	Data 0.001 (0.001)	Loss 2.3242 (2.2002)	Prec@1 41.406 (44.602)	Prec@5 73.438 (75.171)
Epoch: [43][7990/14090]	Time 0.725 (0.768)	Data 0.001 (0.001)	Loss 2.4445 (2.2003)	Prec@1 36.719 (44.598)	Prec@5 64.062 (75.170)
Epoch: [43][8000/14090]	Time 0.760 (0.768)	Data 0.004 (0.001)	Loss 1.9821 (2.2003)	Prec@1 44.531 (44.596)	Prec@5 82.812 (75.170)
Epoch: [43][8010/14090]	Time 0.724 (0.768)	Data 0.001 (0.001)	Loss 2.4663 (2.2002)	Prec@1 39.844 (44.599)	Prec@5 71.094 (75.172)
Epoch: [43][8020/14090]	Time 0.772 (0.768)	Data 0.001 (0.001)	Loss 2.3052 (2.2003)	Prec@1 45.312 (44.596)	Prec@5 78.906 (75.172)
Epoch: [43][8030/14090]	Time 0.760 (0.768)	Data 0.001 (0.001)	Loss 2.2756 (2.2003)	Prec@1 37.500 (44.596)	Prec@5 74.219 (75.173)
Epoch: [43][8040/14090]	Time 0.769 (0.768)	Data 0.006 (0.001)	Loss 2.1630 (2.2003)	Prec@1 47.656 (44.598)	Prec@5 72.656 (75.173)
Epoch: [43][8050/14090]	Time 0.892 (0.768)	Data 0.001 (0.001)	Loss 2.1542 (2.2005)	Prec@1 43.750 (44.596)	Prec@5 74.219 (75.171)
Epoch: [43][8060/14090]	Time 0.741 (0.768)	Data 0.001 (0.001)	Loss 2.1467 (2.2004)	Prec@1 50.781 (44.598)	Prec@5 75.000 (75.171)
Epoch: [43][8070/14090]	Time 0.763 (0.768)	Data 0.001 (0.001)	Loss 2.1701 (2.2004)	Prec@1 43.750 (44.596)	Prec@5 75.000 (75.172)
Epoch: [43][8080/14090]	Time 0.754 (0.768)	Data 0.001 (0.001)	Loss 2.3118 (2.2005)	Prec@1 40.625 (44.592)	Prec@5 71.875 (75.168)
Epoch: [43][8090/14090]	Time 0.729 (0.768)	Data 0.001 (0.001)	Loss 2.2762 (2.2006)	Prec@1 42.969 (44.589)	Prec@5 74.219 (75.166)
Epoch: [43][8100/14090]	Time 0.764 (0.768)	Data 0.001 (0.001)	Loss 2.0537 (2.2006)	Prec@1 47.656 (44.589)	Prec@5 78.906 (75.167)
Epoch: [43][8110/14090]	Time 0.773 (0.768)	Data 0.001 (0.001)	Loss 2.3879 (2.2005)	Prec@1 39.062 (44.591)	Prec@5 75.000 (75.168)
Epoch: [43][8120/14090]	Time 0.877 (0.768)	Data 0.001 (0.001)	Loss 2.4495 (2.2007)	Prec@1 41.406 (44.587)	Prec@5 67.969 (75.166)
Epoch: [43][8130/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 2.0438 (2.2007)	Prec@1 43.750 (44.586)	Prec@5 75.781 (75.166)
Epoch: [43][8140/14090]	Time 0.774 (0.768)	Data 0.001 (0.001)	Loss 2.1021 (2.2006)	Prec@1 53.125 (44.589)	Prec@5 77.344 (75.169)
Epoch: [43][8150/14090]	Time 0.767 (0.768)	Data 0.001 (0.001)	Loss 2.3360 (2.2006)	Prec@1 39.844 (44.589)	Prec@5 72.656 (75.169)
Epoch: [43][8160/14090]	Time 0.782 (0.768)	Data 0.001 (0.001)	Loss 2.0960 (2.2006)	Prec@1 45.312 (44.588)	Prec@5 78.125 (75.170)
Epoch: [43][8170/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 2.4249 (2.2007)	Prec@1 41.406 (44.587)	Prec@5 71.094 (75.170)
Epoch: [43][8180/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 2.3928 (2.2006)	Prec@1 38.281 (44.586)	Prec@5 67.969 (75.170)
Epoch: [43][8190/14090]	Time 0.925 (0.768)	Data 0.001 (0.001)	Loss 2.3325 (2.2007)	Prec@1 40.625 (44.584)	Prec@5 74.219 (75.169)
Epoch: [43][8200/14090]	Time 0.749 (0.768)	Data 0.001 (0.001)	Loss 2.3094 (2.2008)	Prec@1 44.531 (44.583)	Prec@5 72.656 (75.168)
Epoch: [43][8210/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 2.1586 (2.2008)	Prec@1 45.312 (44.583)	Prec@5 75.000 (75.166)
Epoch: [43][8220/14090]	Time 0.743 (0.768)	Data 0.001 (0.001)	Loss 2.0149 (2.2007)	Prec@1 47.656 (44.586)	Prec@5 82.031 (75.169)
Epoch: [43][8230/14090]	Time 0.768 (0.768)	Data 0.001 (0.001)	Loss 2.2544 (2.2007)	Prec@1 45.312 (44.586)	Prec@5 74.219 (75.169)
Epoch: [43][8240/14090]	Time 0.752 (0.768)	Data 0.001 (0.001)	Loss 2.0863 (2.2007)	Prec@1 46.875 (44.587)	Prec@5 79.688 (75.170)
Epoch: [43][8250/14090]	Time 0.732 (0.768)	Data 0.001 (0.001)	Loss 2.0647 (2.2006)	Prec@1 46.094 (44.590)	Prec@5 78.906 (75.172)
Epoch: [43][8260/14090]	Time 0.863 (0.768)	Data 0.001 (0.001)	Loss 2.2169 (2.2005)	Prec@1 46.875 (44.593)	Prec@5 75.000 (75.174)
Epoch: [43][8270/14090]	Time 0.744 (0.768)	Data 0.001 (0.001)	Loss 2.2746 (2.2004)	Prec@1 43.750 (44.595)	Prec@5 75.781 (75.175)
Epoch: [43][8280/14090]	Time 0.726 (0.768)	Data 0.001 (0.001)	Loss 2.2831 (2.2004)	Prec@1 45.312 (44.597)	Prec@5 78.906 (75.177)
Epoch: [43][8290/14090]	Time 0.779 (0.768)	Data 0.001 (0.001)	Loss 1.7701 (2.2003)	Prec@1 49.219 (44.598)	Prec@5 83.594 (75.179)
Epoch: [43][8300/14090]	Time 0.741 (0.768)	Data 0.001 (0.001)	Loss 2.4281 (2.2003)	Prec@1 35.938 (44.598)	Prec@5 67.188 (75.179)
Epoch: [43][8310/14090]	Time 0.748 (0.768)	Data 0.001 (0.001)	Loss 2.3364 (2.2003)	Prec@1 49.219 (44.599)	Prec@5 78.125 (75.180)
Epoch: [43][8320/14090]	Time 0.747 (0.768)	Data 0.001 (0.001)	Loss 2.4434 (2.2003)	Prec@1 40.625 (44.598)	Prec@5 71.094 (75.179)
Epoch: [43][8330/14090]	Time 0.904 (0.768)	Data 0.001 (0.001)	Loss 2.3487 (2.2004)	Prec@1 39.844 (44.596)	Prec@5 69.531 (75.178)
Epoch: [43][8340/14090]	Time 0.740 (0.768)	Data 0.001 (0.001)	Loss 2.0820 (2.2002)	Prec@1 46.875 (44.598)	Prec@5 77.344 (75.178)
Epoch: [43][8350/14090]	Time 0.763 (0.768)	Data 0.001 (0.001)	Loss 2.0594 (2.2002)	Prec@1 51.562 (44.599)	Prec@5 80.469 (75.178)
Epoch: [43][8360/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 2.1049 (2.2003)	Prec@1 49.219 (44.600)	Prec@5 71.094 (75.178)
Epoch: [43][8370/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 2.1348 (2.2002)	Prec@1 44.531 (44.602)	Prec@5 78.906 (75.179)
Epoch: [43][8380/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 2.0004 (2.2002)	Prec@1 50.781 (44.601)	Prec@5 82.812 (75.180)
Epoch: [43][8390/14090]	Time 0.765 (0.768)	Data 0.002 (0.001)	Loss 2.3422 (2.2002)	Prec@1 43.750 (44.601)	Prec@5 74.219 (75.179)
Epoch: [43][8400/14090]	Time 0.852 (0.768)	Data 0.001 (0.001)	Loss 2.3098 (2.2003)	Prec@1 42.969 (44.597)	Prec@5 71.875 (75.176)
Epoch: [43][8410/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 2.0040 (2.2003)	Prec@1 50.781 (44.597)	Prec@5 80.469 (75.176)
Epoch: [43][8420/14090]	Time 0.774 (0.768)	Data 0.001 (0.001)	Loss 2.2273 (2.2003)	Prec@1 39.062 (44.596)	Prec@5 77.344 (75.177)
Epoch: [43][8430/14090]	Time 0.783 (0.768)	Data 0.001 (0.001)	Loss 2.1602 (2.2004)	Prec@1 43.750 (44.595)	Prec@5 75.000 (75.175)
Epoch: [43][8440/14090]	Time 0.744 (0.768)	Data 0.001 (0.001)	Loss 1.8666 (2.2003)	Prec@1 55.469 (44.597)	Prec@5 78.906 (75.176)
Epoch: [43][8450/14090]	Time 0.764 (0.768)	Data 0.001 (0.001)	Loss 2.5878 (2.2003)	Prec@1 33.594 (44.597)	Prec@5 68.750 (75.174)
Epoch: [43][8460/14090]	Time 0.756 (0.768)	Data 0.001 (0.001)	Loss 2.0293 (2.2003)	Prec@1 50.000 (44.600)	Prec@5 78.125 (75.173)
Epoch: [43][8470/14090]	Time 0.967 (0.768)	Data 0.001 (0.001)	Loss 2.0125 (2.2003)	Prec@1 48.438 (44.599)	Prec@5 75.781 (75.173)
Epoch: [43][8480/14090]	Time 0.754 (0.768)	Data 0.001 (0.001)	Loss 2.2325 (2.2003)	Prec@1 40.625 (44.600)	Prec@5 72.656 (75.174)
Epoch: [43][8490/14090]	Time 0.728 (0.768)	Data 0.001 (0.001)	Loss 2.0426 (2.2004)	Prec@1 44.531 (44.601)	Prec@5 75.781 (75.170)
Epoch: [43][8500/14090]	Time 0.743 (0.768)	Data 0.001 (0.001)	Loss 2.4623 (2.2005)	Prec@1 39.844 (44.598)	Prec@5 70.312 (75.168)
Epoch: [43][8510/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 2.1060 (2.2005)	Prec@1 40.625 (44.597)	Prec@5 77.344 (75.166)
Epoch: [43][8520/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 2.1817 (2.2005)	Prec@1 43.750 (44.597)	Prec@5 74.219 (75.167)
Epoch: [43][8530/14090]	Time 0.742 (0.768)	Data 0.001 (0.001)	Loss 2.0783 (2.2005)	Prec@1 50.781 (44.595)	Prec@5 75.000 (75.168)
Epoch: [43][8540/14090]	Time 0.843 (0.768)	Data 0.001 (0.001)	Loss 1.9645 (2.2004)	Prec@1 53.125 (44.597)	Prec@5 77.344 (75.170)
Epoch: [43][8550/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 1.9131 (2.2005)	Prec@1 42.188 (44.594)	Prec@5 84.375 (75.169)
Epoch: [43][8560/14090]	Time 0.733 (0.768)	Data 0.001 (0.001)	Loss 1.9501 (2.2005)	Prec@1 53.906 (44.597)	Prec@5 84.375 (75.170)
Epoch: [43][8570/14090]	Time 0.759 (0.768)	Data 0.001 (0.001)	Loss 2.3387 (2.2005)	Prec@1 41.406 (44.594)	Prec@5 74.219 (75.170)
Epoch: [43][8580/14090]	Time 0.780 (0.768)	Data 0.001 (0.001)	Loss 2.1539 (2.2004)	Prec@1 50.000 (44.594)	Prec@5 75.000 (75.171)
Epoch: [43][8590/14090]	Time 0.748 (0.768)	Data 0.001 (0.001)	Loss 2.0494 (2.2005)	Prec@1 46.094 (44.593)	Prec@5 77.344 (75.169)
Epoch: [43][8600/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 2.3636 (2.2005)	Prec@1 42.188 (44.593)	Prec@5 68.750 (75.168)
Epoch: [43][8610/14090]	Time 0.834 (0.768)	Data 0.001 (0.001)	Loss 2.0881 (2.2005)	Prec@1 53.125 (44.595)	Prec@5 75.781 (75.169)
Epoch: [43][8620/14090]	Time 0.740 (0.768)	Data 0.001 (0.001)	Loss 2.2315 (2.2005)	Prec@1 47.656 (44.594)	Prec@5 74.219 (75.169)
Epoch: [43][8630/14090]	Time 0.762 (0.768)	Data 0.001 (0.001)	Loss 2.1256 (2.2005)	Prec@1 46.875 (44.595)	Prec@5 72.656 (75.170)
Epoch: [43][8640/14090]	Time 0.754 (0.768)	Data 0.001 (0.001)	Loss 2.1536 (2.2005)	Prec@1 46.875 (44.593)	Prec@5 72.656 (75.169)
Epoch: [43][8650/14090]	Time 0.730 (0.768)	Data 0.001 (0.001)	Loss 2.3237 (2.2005)	Prec@1 38.281 (44.596)	Prec@5 75.000 (75.169)
Epoch: [43][8660/14090]	Time 0.747 (0.768)	Data 0.001 (0.001)	Loss 2.0447 (2.2004)	Prec@1 42.188 (44.597)	Prec@5 79.688 (75.169)
Epoch: [43][8670/14090]	Time 0.735 (0.768)	Data 0.001 (0.001)	Loss 2.1672 (2.2005)	Prec@1 47.656 (44.594)	Prec@5 71.875 (75.167)
Epoch: [43][8680/14090]	Time 0.866 (0.768)	Data 0.001 (0.001)	Loss 2.0819 (2.2005)	Prec@1 49.219 (44.595)	Prec@5 77.344 (75.167)
Epoch: [43][8690/14090]	Time 0.734 (0.768)	Data 0.001 (0.001)	Loss 2.1084 (2.2005)	Prec@1 43.750 (44.596)	Prec@5 78.906 (75.168)
Epoch: [43][8700/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 2.1829 (2.2004)	Prec@1 47.656 (44.599)	Prec@5 75.000 (75.169)
Epoch: [43][8710/14090]	Time 0.764 (0.768)	Data 0.001 (0.001)	Loss 2.4703 (2.2005)	Prec@1 41.406 (44.602)	Prec@5 67.969 (75.168)
Epoch: [43][8720/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 2.0061 (2.2004)	Prec@1 46.094 (44.604)	Prec@5 75.781 (75.169)
Epoch: [43][8730/14090]	Time 0.751 (0.768)	Data 0.001 (0.001)	Loss 2.3523 (2.2004)	Prec@1 40.625 (44.603)	Prec@5 70.312 (75.168)
Epoch: [43][8740/14090]	Time 0.724 (0.768)	Data 0.001 (0.001)	Loss 2.0736 (2.2004)	Prec@1 53.125 (44.604)	Prec@5 78.906 (75.169)
Epoch: [43][8750/14090]	Time 0.855 (0.768)	Data 0.001 (0.001)	Loss 2.1321 (2.2004)	Prec@1 49.219 (44.604)	Prec@5 76.562 (75.168)
Epoch: [43][8760/14090]	Time 0.740 (0.768)	Data 0.001 (0.001)	Loss 2.1530 (2.2003)	Prec@1 49.219 (44.606)	Prec@5 75.781 (75.169)
Epoch: [43][8770/14090]	Time 0.773 (0.768)	Data 0.001 (0.001)	Loss 1.9756 (2.2003)	Prec@1 46.875 (44.606)	Prec@5 79.688 (75.170)
Epoch: [43][8780/14090]	Time 0.759 (0.768)	Data 0.001 (0.001)	Loss 2.2591 (2.2004)	Prec@1 44.531 (44.605)	Prec@5 73.438 (75.168)
Epoch: [43][8790/14090]	Time 0.793 (0.768)	Data 0.001 (0.001)	Loss 2.4335 (2.2004)	Prec@1 38.281 (44.604)	Prec@5 69.531 (75.167)
Epoch: [43][8800/14090]	Time 0.761 (0.768)	Data 0.001 (0.001)	Loss 2.3945 (2.2004)	Prec@1 43.750 (44.606)	Prec@5 71.094 (75.167)
Epoch: [43][8810/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 2.1712 (2.2004)	Prec@1 39.062 (44.604)	Prec@5 82.031 (75.166)
Epoch: [43][8820/14090]	Time 0.890 (0.768)	Data 0.001 (0.001)	Loss 2.4267 (2.2005)	Prec@1 38.281 (44.602)	Prec@5 68.750 (75.166)
Epoch: [43][8830/14090]	Time 0.745 (0.768)	Data 0.001 (0.001)	Loss 2.4318 (2.2005)	Prec@1 41.406 (44.602)	Prec@5 72.656 (75.165)
Epoch: [43][8840/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 2.4545 (2.2006)	Prec@1 34.375 (44.599)	Prec@5 67.188 (75.164)
Epoch: [43][8850/14090]	Time 0.781 (0.768)	Data 0.001 (0.001)	Loss 2.2619 (2.2007)	Prec@1 42.969 (44.597)	Prec@5 73.438 (75.161)
Epoch: [43][8860/14090]	Time 0.743 (0.768)	Data 0.001 (0.001)	Loss 2.2507 (2.2007)	Prec@1 43.750 (44.598)	Prec@5 76.562 (75.162)
Epoch: [43][8870/14090]	Time 0.765 (0.768)	Data 0.001 (0.001)	Loss 1.9794 (2.2008)	Prec@1 46.875 (44.598)	Prec@5 81.250 (75.161)
Epoch: [43][8880/14090]	Time 0.752 (0.768)	Data 0.001 (0.001)	Loss 2.4105 (2.2008)	Prec@1 41.406 (44.600)	Prec@5 71.875 (75.161)
Epoch: [43][8890/14090]	Time 0.861 (0.768)	Data 0.001 (0.001)	Loss 2.2380 (2.2008)	Prec@1 43.750 (44.599)	Prec@5 73.438 (75.160)
Epoch: [43][8900/14090]	Time 0.742 (0.768)	Data 0.001 (0.001)	Loss 2.2369 (2.2009)	Prec@1 41.406 (44.599)	Prec@5 75.781 (75.158)
Epoch: [43][8910/14090]	Time 0.724 (0.768)	Data 0.001 (0.001)	Loss 2.1858 (2.2010)	Prec@1 42.969 (44.597)	Prec@5 75.781 (75.155)
Epoch: [43][8920/14090]	Time 0.776 (0.768)	Data 0.001 (0.001)	Loss 2.4670 (2.2010)	Prec@1 40.625 (44.594)	Prec@5 71.094 (75.155)
Epoch: [43][8930/14090]	Time 0.725 (0.768)	Data 0.001 (0.001)	Loss 2.2051 (2.2010)	Prec@1 39.062 (44.593)	Prec@5 80.469 (75.155)
Epoch: [43][8940/14090]	Time 0.755 (0.768)	Data 0.001 (0.001)	Loss 1.9124 (2.2010)	Prec@1 53.125 (44.593)	Prec@5 78.906 (75.158)
Epoch: [43][8950/14090]	Time 0.742 (0.768)	Data 0.001 (0.001)	Loss 2.4333 (2.2010)	Prec@1 41.406 (44.593)	Prec@5 73.438 (75.159)
Epoch: [43][8960/14090]	Time 0.845 (0.768)	Data 0.001 (0.001)	Loss 2.0799 (2.2009)	Prec@1 50.781 (44.596)	Prec@5 80.469 (75.160)
Epoch: [43][8970/14090]	Time 0.779 (0.768)	Data 0.001 (0.001)	Loss 2.2490 (2.2010)	Prec@1 48.438 (44.596)	Prec@5 71.875 (75.160)
Epoch: [43][8980/14090]	Time 0.751 (0.768)	Data 0.001 (0.001)	Loss 2.2283 (2.2010)	Prec@1 45.312 (44.596)	Prec@5 75.000 (75.161)
Epoch: [43][8990/14090]	Time 0.742 (0.768)	Data 0.001 (0.001)	Loss 2.1481 (2.2010)	Prec@1 44.531 (44.594)	Prec@5 71.875 (75.161)
Epoch: [43][9000/14090]	Time 0.751 (0.768)	Data 0.001 (0.001)	Loss 2.2439 (2.2008)	Prec@1 41.406 (44.597)	Prec@5 75.000 (75.163)
Epoch: [43][9010/14090]	Time 0.763 (0.768)	Data 0.001 (0.001)	Loss 2.3249 (2.2008)	Prec@1 46.094 (44.597)	Prec@5 71.875 (75.164)
Epoch: [43][9020/14090]	Time 0.773 (0.768)	Data 0.001 (0.001)	Loss 1.8117 (2.2007)	Prec@1 50.000 (44.601)	Prec@5 84.375 (75.166)
Epoch: [43][9030/14090]	Time 0.953 (0.768)	Data 0.001 (0.001)	Loss 2.1138 (2.2007)	Prec@1 50.781 (44.602)	Prec@5 75.781 (75.166)
Epoch: [43][9040/14090]	Time 0.726 (0.768)	Data 0.001 (0.001)	Loss 2.1316 (2.2008)	Prec@1 46.094 (44.602)	Prec@5 80.469 (75.164)
Epoch: [43][9050/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 2.1074 (2.2008)	Prec@1 50.000 (44.605)	Prec@5 77.344 (75.165)
Epoch: [43][9060/14090]	Time 0.781 (0.768)	Data 0.001 (0.001)	Loss 2.1701 (2.2008)	Prec@1 42.969 (44.604)	Prec@5 78.906 (75.165)
Epoch: [43][9070/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 2.2252 (2.2008)	Prec@1 43.750 (44.605)	Prec@5 73.438 (75.165)
Epoch: [43][9080/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 2.1341 (2.2008)	Prec@1 42.188 (44.604)	Prec@5 76.562 (75.164)
Epoch: [43][9090/14090]	Time 0.758 (0.768)	Data 0.001 (0.001)	Loss 2.2698 (2.2008)	Prec@1 43.750 (44.605)	Prec@5 74.219 (75.166)
Epoch: [43][9100/14090]	Time 0.868 (0.768)	Data 0.001 (0.001)	Loss 2.1887 (2.2008)	Prec@1 49.219 (44.607)	Prec@5 74.219 (75.166)
Epoch: [43][9110/14090]	Time 0.757 (0.768)	Data 0.001 (0.001)	Loss 2.3834 (2.2009)	Prec@1 38.281 (44.607)	Prec@5 71.875 (75.163)
Epoch: [43][9120/14090]	Time 0.741 (0.768)	Data 0.001 (0.001)	Loss 2.2844 (2.2010)	Prec@1 43.750 (44.605)	Prec@5 75.781 (75.163)
Epoch: [43][9130/14090]	Time 0.743 (0.768)	Data 0.001 (0.001)	Loss 2.0182 (2.2009)	Prec@1 49.219 (44.604)	Prec@5 78.906 (75.162)
Epoch: [43][9140/14090]	Time 0.776 (0.768)	Data 0.001 (0.001)	Loss 2.0524 (2.2010)	Prec@1 47.656 (44.602)	Prec@5 81.250 (75.162)
Epoch: [43][9150/14090]	Time 0.755 (0.768)	Data 0.001 (0.001)	Loss 2.1216 (2.2009)	Prec@1 46.094 (44.602)	Prec@5 77.344 (75.163)
Epoch: [43][9160/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 1.9249 (2.2008)	Prec@1 44.531 (44.601)	Prec@5 84.375 (75.165)
Epoch: [43][9170/14090]	Time 0.912 (0.768)	Data 0.001 (0.001)	Loss 2.2871 (2.2009)	Prec@1 50.781 (44.600)	Prec@5 75.000 (75.163)
Epoch: [43][9180/14090]	Time 0.784 (0.768)	Data 0.001 (0.001)	Loss 2.2319 (2.2009)	Prec@1 44.531 (44.603)	Prec@5 75.000 (75.164)
Epoch: [43][9190/14090]	Time 0.741 (0.768)	Data 0.001 (0.001)	Loss 2.3424 (2.2009)	Prec@1 42.188 (44.605)	Prec@5 73.438 (75.165)
Epoch: [43][9200/14090]	Time 0.775 (0.768)	Data 0.001 (0.001)	Loss 2.3141 (2.2009)	Prec@1 42.969 (44.604)	Prec@5 77.344 (75.165)
Epoch: [43][9210/14090]	Time 0.744 (0.768)	Data 0.001 (0.001)	Loss 2.2744 (2.2008)	Prec@1 41.406 (44.605)	Prec@5 74.219 (75.166)
Epoch: [43][9220/14090]	Time 0.743 (0.768)	Data 0.001 (0.001)	Loss 2.0750 (2.2008)	Prec@1 46.875 (44.606)	Prec@5 77.344 (75.166)
Epoch: [43][9230/14090]	Time 0.767 (0.768)	Data 0.001 (0.001)	Loss 2.1511 (2.2008)	Prec@1 42.188 (44.606)	Prec@5 78.906 (75.167)
Epoch: [43][9240/14090]	Time 0.883 (0.768)	Data 0.001 (0.001)	Loss 2.6077 (2.2009)	Prec@1 35.938 (44.604)	Prec@5 67.188 (75.164)
Epoch: [43][9250/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 2.1101 (2.2008)	Prec@1 43.750 (44.605)	Prec@5 78.906 (75.164)
Epoch: [43][9260/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 2.3336 (2.2009)	Prec@1 42.969 (44.605)	Prec@5 67.969 (75.162)
Epoch: [43][9270/14090]	Time 0.780 (0.768)	Data 0.001 (0.001)	Loss 2.2848 (2.2009)	Prec@1 39.062 (44.604)	Prec@5 74.219 (75.161)
Epoch: [43][9280/14090]	Time 0.723 (0.768)	Data 0.001 (0.001)	Loss 1.9677 (2.2009)	Prec@1 48.438 (44.604)	Prec@5 81.250 (75.161)
Epoch: [43][9290/14090]	Time 0.788 (0.768)	Data 0.001 (0.001)	Loss 2.1794 (2.2009)	Prec@1 43.750 (44.605)	Prec@5 78.125 (75.163)
Epoch: [43][9300/14090]	Time 0.775 (0.768)	Data 0.002 (0.001)	Loss 2.2007 (2.2009)	Prec@1 45.312 (44.604)	Prec@5 76.562 (75.161)
Epoch: [43][9310/14090]	Time 0.864 (0.768)	Data 0.001 (0.001)	Loss 2.1925 (2.2010)	Prec@1 53.125 (44.605)	Prec@5 71.875 (75.160)
Epoch: [43][9320/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 2.3333 (2.2011)	Prec@1 42.188 (44.605)	Prec@5 73.438 (75.160)
Epoch: [43][9330/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 1.9736 (2.2011)	Prec@1 52.344 (44.603)	Prec@5 77.344 (75.158)
Epoch: [43][9340/14090]	Time 0.744 (0.768)	Data 0.001 (0.001)	Loss 2.1291 (2.2012)	Prec@1 46.094 (44.602)	Prec@5 75.781 (75.156)
Epoch: [43][9350/14090]	Time 0.743 (0.768)	Data 0.001 (0.001)	Loss 2.1376 (2.2012)	Prec@1 48.438 (44.604)	Prec@5 76.562 (75.156)
Epoch: [43][9360/14090]	Time 0.744 (0.768)	Data 0.001 (0.001)	Loss 2.0736 (2.2011)	Prec@1 46.094 (44.604)	Prec@5 76.562 (75.155)
Epoch: [43][9370/14090]	Time 0.784 (0.768)	Data 0.001 (0.001)	Loss 2.3092 (2.2011)	Prec@1 43.750 (44.602)	Prec@5 75.781 (75.156)
Epoch: [43][9380/14090]	Time 0.853 (0.768)	Data 0.001 (0.001)	Loss 2.3275 (2.2012)	Prec@1 39.062 (44.601)	Prec@5 72.656 (75.154)
Epoch: [43][9390/14090]	Time 0.733 (0.768)	Data 0.001 (0.001)	Loss 2.2509 (2.2013)	Prec@1 39.062 (44.600)	Prec@5 72.656 (75.154)
Epoch: [43][9400/14090]	Time 0.743 (0.768)	Data 0.001 (0.001)	Loss 2.2500 (2.2013)	Prec@1 39.062 (44.598)	Prec@5 74.219 (75.154)
Epoch: [43][9410/14090]	Time 0.757 (0.768)	Data 0.001 (0.001)	Loss 2.1223 (2.2013)	Prec@1 46.094 (44.599)	Prec@5 78.125 (75.154)
Epoch: [43][9420/14090]	Time 0.724 (0.768)	Data 0.001 (0.001)	Loss 2.3651 (2.2013)	Prec@1 39.062 (44.598)	Prec@5 71.094 (75.154)
Epoch: [43][9430/14090]	Time 0.770 (0.768)	Data 0.001 (0.001)	Loss 2.1592 (2.2012)	Prec@1 43.750 (44.600)	Prec@5 75.000 (75.156)
Epoch: [43][9440/14090]	Time 0.784 (0.768)	Data 0.001 (0.001)	Loss 2.3490 (2.2013)	Prec@1 37.500 (44.598)	Prec@5 68.750 (75.154)
Epoch: [43][9450/14090]	Time 0.880 (0.768)	Data 0.001 (0.001)	Loss 2.0552 (2.2013)	Prec@1 49.219 (44.598)	Prec@5 78.906 (75.153)
Epoch: [43][9460/14090]	Time 0.728 (0.768)	Data 0.001 (0.001)	Loss 2.0644 (2.2013)	Prec@1 46.875 (44.598)	Prec@5 75.000 (75.155)
Epoch: [43][9470/14090]	Time 0.748 (0.768)	Data 0.001 (0.001)	Loss 2.3241 (2.2013)	Prec@1 39.844 (44.596)	Prec@5 77.344 (75.155)
Epoch: [43][9480/14090]	Time 0.775 (0.768)	Data 0.001 (0.001)	Loss 2.2592 (2.2012)	Prec@1 41.406 (44.597)	Prec@5 71.094 (75.155)
Epoch: [43][9490/14090]	Time 0.783 (0.768)	Data 0.001 (0.001)	Loss 2.1102 (2.2012)	Prec@1 46.875 (44.596)	Prec@5 79.688 (75.154)
Epoch: [43][9500/14090]	Time 0.758 (0.768)	Data 0.001 (0.001)	Loss 2.0377 (2.2013)	Prec@1 42.969 (44.594)	Prec@5 78.125 (75.154)
Epoch: [43][9510/14090]	Time 0.730 (0.768)	Data 0.001 (0.001)	Loss 2.3550 (2.2013)	Prec@1 37.500 (44.594)	Prec@5 78.125 (75.154)
Epoch: [43][9520/14090]	Time 0.898 (0.768)	Data 0.001 (0.001)	Loss 2.3128 (2.2013)	Prec@1 41.406 (44.594)	Prec@5 75.781 (75.156)
Epoch: [43][9530/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 1.9676 (2.2013)	Prec@1 45.312 (44.593)	Prec@5 77.344 (75.156)
Epoch: [43][9540/14090]	Time 0.751 (0.768)	Data 0.001 (0.001)	Loss 1.9328 (2.2012)	Prec@1 50.000 (44.593)	Prec@5 76.562 (75.154)
Epoch: [43][9550/14090]	Time 0.745 (0.768)	Data 0.001 (0.001)	Loss 2.1772 (2.2012)	Prec@1 46.875 (44.593)	Prec@5 77.344 (75.155)
Epoch: [43][9560/14090]	Time 0.771 (0.768)	Data 0.001 (0.001)	Loss 2.0188 (2.2012)	Prec@1 50.000 (44.596)	Prec@5 79.688 (75.155)
Epoch: [43][9570/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 2.0995 (2.2013)	Prec@1 48.438 (44.594)	Prec@5 76.562 (75.152)
Epoch: [43][9580/14090]	Time 0.771 (0.768)	Data 0.001 (0.001)	Loss 2.2215 (2.2014)	Prec@1 46.094 (44.593)	Prec@5 70.312 (75.150)
Epoch: [43][9590/14090]	Time 0.874 (0.768)	Data 0.001 (0.001)	Loss 2.1013 (2.2014)	Prec@1 45.312 (44.593)	Prec@5 73.438 (75.150)
Epoch: [43][9600/14090]	Time 0.746 (0.768)	Data 0.001 (0.001)	Loss 1.9557 (2.2013)	Prec@1 47.656 (44.594)	Prec@5 78.125 (75.151)
Epoch: [43][9610/14090]	Time 0.735 (0.768)	Data 0.001 (0.001)	Loss 2.1572 (2.2013)	Prec@1 42.969 (44.594)	Prec@5 76.562 (75.150)
Epoch: [43][9620/14090]	Time 0.749 (0.768)	Data 0.001 (0.001)	Loss 2.2634 (2.2014)	Prec@1 38.281 (44.592)	Prec@5 73.438 (75.148)
Epoch: [43][9630/14090]	Time 0.771 (0.768)	Data 0.001 (0.001)	Loss 2.2105 (2.2015)	Prec@1 46.094 (44.590)	Prec@5 72.656 (75.146)
Epoch: [43][9640/14090]	Time 0.732 (0.768)	Data 0.001 (0.001)	Loss 2.1964 (2.2015)	Prec@1 46.875 (44.592)	Prec@5 75.000 (75.147)
Epoch: [43][9650/14090]	Time 0.730 (0.768)	Data 0.001 (0.001)	Loss 1.8293 (2.2015)	Prec@1 52.344 (44.592)	Prec@5 81.250 (75.148)
Epoch: [43][9660/14090]	Time 0.886 (0.768)	Data 0.001 (0.001)	Loss 2.1208 (2.2015)	Prec@1 48.438 (44.594)	Prec@5 74.219 (75.149)
Epoch: [43][9670/14090]	Time 0.771 (0.768)	Data 0.001 (0.001)	Loss 2.1173 (2.2014)	Prec@1 45.312 (44.594)	Prec@5 75.781 (75.150)
Epoch: [43][9680/14090]	Time 0.752 (0.768)	Data 0.001 (0.001)	Loss 1.9664 (2.2014)	Prec@1 51.562 (44.595)	Prec@5 76.562 (75.150)
Epoch: [43][9690/14090]	Time 0.781 (0.768)	Data 0.002 (0.001)	Loss 2.2402 (2.2014)	Prec@1 45.312 (44.594)	Prec@5 73.438 (75.150)
Epoch: [43][9700/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 2.4025 (2.2014)	Prec@1 41.406 (44.594)	Prec@5 73.438 (75.149)
Epoch: [43][9710/14090]	Time 0.771 (0.768)	Data 0.001 (0.001)	Loss 2.0046 (2.2015)	Prec@1 53.125 (44.594)	Prec@5 74.219 (75.147)
Epoch: [43][9720/14090]	Time 0.774 (0.768)	Data 0.001 (0.001)	Loss 2.3968 (2.2014)	Prec@1 42.969 (44.595)	Prec@5 75.000 (75.148)
Epoch: [43][9730/14090]	Time 1.013 (0.768)	Data 0.001 (0.001)	Loss 2.3637 (2.2015)	Prec@1 48.438 (44.595)	Prec@5 74.219 (75.148)
Epoch: [43][9740/14090]	Time 0.768 (0.768)	Data 0.001 (0.001)	Loss 2.1866 (2.2015)	Prec@1 46.875 (44.596)	Prec@5 78.125 (75.148)
Epoch: [43][9750/14090]	Time 0.724 (0.768)	Data 0.001 (0.001)	Loss 2.4900 (2.2016)	Prec@1 37.500 (44.593)	Prec@5 70.312 (75.147)
Epoch: [43][9760/14090]	Time 0.767 (0.768)	Data 0.001 (0.001)	Loss 2.0987 (2.2016)	Prec@1 47.656 (44.591)	Prec@5 78.906 (75.145)
Epoch: [43][9770/14090]	Time 0.766 (0.768)	Data 0.001 (0.001)	Loss 1.7840 (2.2015)	Prec@1 50.000 (44.594)	Prec@5 82.812 (75.147)
Epoch: [43][9780/14090]	Time 0.755 (0.768)	Data 0.001 (0.001)	Loss 2.1054 (2.2015)	Prec@1 48.438 (44.595)	Prec@5 76.562 (75.147)
Epoch: [43][9790/14090]	Time 0.766 (0.768)	Data 0.001 (0.001)	Loss 1.8049 (2.2015)	Prec@1 50.781 (44.593)	Prec@5 82.812 (75.148)
Epoch: [43][9800/14090]	Time 0.854 (0.768)	Data 0.001 (0.001)	Loss 1.9477 (2.2015)	Prec@1 50.781 (44.595)	Prec@5 79.688 (75.149)
Epoch: [43][9810/14090]	Time 0.745 (0.768)	Data 0.001 (0.001)	Loss 2.2750 (2.2015)	Prec@1 41.406 (44.596)	Prec@5 71.875 (75.150)
Epoch: [43][9820/14090]	Time 0.726 (0.768)	Data 0.001 (0.001)	Loss 2.3868 (2.2015)	Prec@1 41.406 (44.596)	Prec@5 69.531 (75.149)
Epoch: [43][9830/14090]	Time 0.767 (0.768)	Data 0.001 (0.001)	Loss 2.3033 (2.2014)	Prec@1 43.750 (44.598)	Prec@5 77.344 (75.152)
Epoch: [43][9840/14090]	Time 0.729 (0.768)	Data 0.001 (0.001)	Loss 2.1884 (2.2014)	Prec@1 48.438 (44.599)	Prec@5 76.562 (75.152)
Epoch: [43][9850/14090]	Time 0.755 (0.768)	Data 0.001 (0.001)	Loss 1.9036 (2.2013)	Prec@1 50.781 (44.601)	Prec@5 78.125 (75.153)
Epoch: [43][9860/14090]	Time 0.754 (0.768)	Data 0.001 (0.001)	Loss 2.5756 (2.2013)	Prec@1 29.688 (44.599)	Prec@5 67.969 (75.153)
Epoch: [43][9870/14090]	Time 0.877 (0.768)	Data 0.001 (0.001)	Loss 2.2706 (2.2014)	Prec@1 42.969 (44.595)	Prec@5 74.219 (75.150)
Epoch: [43][9880/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 2.2747 (2.2014)	Prec@1 42.969 (44.595)	Prec@5 76.562 (75.152)
Epoch: [43][9890/14090]	Time 0.765 (0.768)	Data 0.001 (0.001)	Loss 2.3066 (2.2014)	Prec@1 39.062 (44.594)	Prec@5 71.875 (75.151)
Epoch: [43][9900/14090]	Time 0.769 (0.768)	Data 0.001 (0.001)	Loss 2.2052 (2.2015)	Prec@1 46.094 (44.593)	Prec@5 74.219 (75.149)
Epoch: [43][9910/14090]	Time 0.778 (0.768)	Data 0.001 (0.001)	Loss 2.2917 (2.2015)	Prec@1 39.844 (44.591)	Prec@5 68.750 (75.149)
Epoch: [43][9920/14090]	Time 0.769 (0.768)	Data 0.001 (0.001)	Loss 2.5458 (2.2017)	Prec@1 41.406 (44.588)	Prec@5 71.875 (75.145)
Epoch: [43][9930/14090]	Time 0.770 (0.768)	Data 0.001 (0.001)	Loss 2.1069 (2.2017)	Prec@1 44.531 (44.588)	Prec@5 78.125 (75.145)
Epoch: [43][9940/14090]	Time 0.869 (0.768)	Data 0.001 (0.001)	Loss 2.1089 (2.2017)	Prec@1 50.000 (44.588)	Prec@5 72.656 (75.145)
Epoch: [43][9950/14090]	Time 0.735 (0.768)	Data 0.001 (0.001)	Loss 2.3501 (2.2017)	Prec@1 35.156 (44.588)	Prec@5 75.000 (75.145)
Epoch: [43][9960/14090]	Time 0.757 (0.768)	Data 0.001 (0.001)	Loss 2.1284 (2.2018)	Prec@1 46.094 (44.586)	Prec@5 75.000 (75.144)
Epoch: [43][9970/14090]	Time 0.755 (0.768)	Data 0.001 (0.001)	Loss 2.5872 (2.2018)	Prec@1 38.281 (44.586)	Prec@5 66.406 (75.142)
Epoch: [43][9980/14090]	Time 0.742 (0.768)	Data 0.001 (0.001)	Loss 2.0247 (2.2017)	Prec@1 50.781 (44.589)	Prec@5 77.344 (75.145)
Epoch: [43][9990/14090]	Time 0.751 (0.768)	Data 0.001 (0.001)	Loss 2.1456 (2.2017)	Prec@1 43.750 (44.588)	Prec@5 76.562 (75.143)
Epoch: [43][10000/14090]	Time 0.734 (0.768)	Data 0.001 (0.001)	Loss 2.4786 (2.2017)	Prec@1 44.531 (44.590)	Prec@5 66.406 (75.143)
Epoch: [43][10010/14090]	Time 0.913 (0.768)	Data 0.001 (0.001)	Loss 2.2259 (2.2017)	Prec@1 46.875 (44.588)	Prec@5 79.688 (75.144)
Epoch: [43][10020/14090]	Time 0.741 (0.768)	Data 0.001 (0.001)	Loss 2.2053 (2.2017)	Prec@1 45.312 (44.589)	Prec@5 73.438 (75.142)
Epoch: [43][10030/14090]	Time 0.743 (0.768)	Data 0.001 (0.001)	Loss 2.3779 (2.2018)	Prec@1 41.406 (44.589)	Prec@5 71.875 (75.142)
Epoch: [43][10040/14090]	Time 0.751 (0.768)	Data 0.001 (0.001)	Loss 2.1886 (2.2017)	Prec@1 45.312 (44.590)	Prec@5 78.906 (75.144)
Epoch: [43][10050/14090]	Time 0.766 (0.768)	Data 0.001 (0.001)	Loss 2.1231 (2.2017)	Prec@1 46.094 (44.589)	Prec@5 71.094 (75.144)
Epoch: [43][10060/14090]	Time 0.733 (0.768)	Data 0.001 (0.001)	Loss 2.0194 (2.2017)	Prec@1 42.969 (44.590)	Prec@5 78.906 (75.146)
Epoch: [43][10070/14090]	Time 0.744 (0.768)	Data 0.001 (0.001)	Loss 2.2462 (2.2017)	Prec@1 42.188 (44.590)	Prec@5 77.344 (75.147)
Epoch: [43][10080/14090]	Time 0.861 (0.768)	Data 0.001 (0.001)	Loss 2.0953 (2.2018)	Prec@1 46.875 (44.587)	Prec@5 75.000 (75.144)
Epoch: [43][10090/14090]	Time 0.745 (0.768)	Data 0.001 (0.001)	Loss 2.4125 (2.2018)	Prec@1 41.406 (44.586)	Prec@5 71.094 (75.143)
Epoch: [43][10100/14090]	Time 0.724 (0.768)	Data 0.001 (0.001)	Loss 2.1275 (2.2018)	Prec@1 48.438 (44.587)	Prec@5 73.438 (75.145)
Epoch: [43][10110/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 1.9882 (2.2018)	Prec@1 47.656 (44.586)	Prec@5 80.469 (75.145)
Epoch: [43][10120/14090]	Time 0.748 (0.768)	Data 0.001 (0.001)	Loss 2.0305 (2.2018)	Prec@1 45.312 (44.585)	Prec@5 79.688 (75.145)
Epoch: [43][10130/14090]	Time 0.751 (0.768)	Data 0.001 (0.001)	Loss 2.3294 (2.2019)	Prec@1 36.719 (44.584)	Prec@5 78.125 (75.145)
Epoch: [43][10140/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 2.4563 (2.2018)	Prec@1 41.406 (44.584)	Prec@5 67.188 (75.146)
Epoch: [43][10150/14090]	Time 0.894 (0.768)	Data 0.001 (0.001)	Loss 2.0517 (2.2019)	Prec@1 55.469 (44.582)	Prec@5 81.250 (75.145)
Epoch: [43][10160/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 2.2176 (2.2021)	Prec@1 39.844 (44.577)	Prec@5 76.562 (75.143)
Epoch: [43][10170/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 2.3869 (2.2020)	Prec@1 42.969 (44.577)	Prec@5 71.875 (75.143)
Epoch: [43][10180/14090]	Time 0.777 (0.768)	Data 0.001 (0.001)	Loss 2.2365 (2.2022)	Prec@1 40.625 (44.573)	Prec@5 75.000 (75.142)
Epoch: [43][10190/14090]	Time 0.727 (0.768)	Data 0.001 (0.001)	Loss 1.9751 (2.2021)	Prec@1 49.219 (44.573)	Prec@5 82.031 (75.142)
Epoch: [43][10200/14090]	Time 0.757 (0.768)	Data 0.001 (0.001)	Loss 2.3413 (2.2022)	Prec@1 40.625 (44.572)	Prec@5 72.656 (75.140)
Epoch: [43][10210/14090]	Time 0.745 (0.768)	Data 0.001 (0.001)	Loss 2.2834 (2.2021)	Prec@1 45.312 (44.572)	Prec@5 75.000 (75.142)
Epoch: [43][10220/14090]	Time 0.861 (0.768)	Data 0.001 (0.001)	Loss 2.2677 (2.2021)	Prec@1 44.531 (44.573)	Prec@5 71.875 (75.142)
Epoch: [43][10230/14090]	Time 0.757 (0.768)	Data 0.001 (0.001)	Loss 2.4072 (2.2022)	Prec@1 36.719 (44.571)	Prec@5 68.750 (75.141)
Epoch: [43][10240/14090]	Time 0.720 (0.768)	Data 0.001 (0.001)	Loss 2.2820 (2.2022)	Prec@1 46.875 (44.571)	Prec@5 74.219 (75.141)
Epoch: [43][10250/14090]	Time 0.765 (0.768)	Data 0.001 (0.001)	Loss 2.2317 (2.2023)	Prec@1 45.312 (44.570)	Prec@5 73.438 (75.139)
Epoch: [43][10260/14090]	Time 0.747 (0.768)	Data 0.002 (0.001)	Loss 1.9414 (2.2023)	Prec@1 48.438 (44.572)	Prec@5 80.469 (75.139)
Epoch: [43][10270/14090]	Time 0.735 (0.768)	Data 0.001 (0.001)	Loss 2.6346 (2.2024)	Prec@1 41.406 (44.571)	Prec@5 67.188 (75.138)
Epoch: [43][10280/14090]	Time 0.766 (0.768)	Data 0.002 (0.001)	Loss 2.0495 (2.2023)	Prec@1 42.188 (44.572)	Prec@5 77.344 (75.139)
Epoch: [43][10290/14090]	Time 0.848 (0.768)	Data 0.001 (0.001)	Loss 2.4189 (2.2024)	Prec@1 41.406 (44.570)	Prec@5 71.875 (75.138)
Epoch: [43][10300/14090]	Time 0.727 (0.768)	Data 0.001 (0.001)	Loss 2.5643 (2.2024)	Prec@1 37.500 (44.569)	Prec@5 71.875 (75.139)
Epoch: [43][10310/14090]	Time 0.773 (0.768)	Data 0.001 (0.001)	Loss 2.2306 (2.2025)	Prec@1 43.750 (44.569)	Prec@5 75.781 (75.140)
Epoch: [43][10320/14090]	Time 0.765 (0.768)	Data 0.001 (0.001)	Loss 2.1027 (2.2025)	Prec@1 40.625 (44.567)	Prec@5 78.125 (75.140)
Epoch: [43][10330/14090]	Time 0.745 (0.768)	Data 0.002 (0.001)	Loss 2.0207 (2.2025)	Prec@1 51.562 (44.567)	Prec@5 78.125 (75.139)
Epoch: [43][10340/14090]	Time 0.752 (0.768)	Data 0.001 (0.001)	Loss 2.1575 (2.2025)	Prec@1 47.656 (44.567)	Prec@5 71.875 (75.140)
Epoch: [43][10350/14090]	Time 0.740 (0.768)	Data 0.001 (0.001)	Loss 2.1955 (2.2025)	Prec@1 45.312 (44.567)	Prec@5 72.656 (75.139)
Epoch: [43][10360/14090]	Time 0.848 (0.768)	Data 0.001 (0.001)	Loss 2.1711 (2.2026)	Prec@1 46.094 (44.566)	Prec@5 76.562 (75.137)
Epoch: [43][10370/14090]	Time 0.748 (0.768)	Data 0.001 (0.001)	Loss 2.2049 (2.2027)	Prec@1 39.844 (44.564)	Prec@5 72.656 (75.138)
Epoch: [43][10380/14090]	Time 0.721 (0.768)	Data 0.001 (0.001)	Loss 2.1146 (2.2027)	Prec@1 46.875 (44.563)	Prec@5 73.438 (75.137)
Epoch: [43][10390/14090]	Time 0.757 (0.768)	Data 0.001 (0.001)	Loss 2.0474 (2.2026)	Prec@1 48.438 (44.563)	Prec@5 77.344 (75.138)
Epoch: [43][10400/14090]	Time 0.749 (0.768)	Data 0.001 (0.001)	Loss 1.8750 (2.2026)	Prec@1 56.250 (44.567)	Prec@5 81.250 (75.139)
Epoch: [43][10410/14090]	Time 0.769 (0.768)	Data 0.001 (0.001)	Loss 2.6137 (2.2027)	Prec@1 37.500 (44.564)	Prec@5 68.750 (75.137)
Epoch: [43][10420/14090]	Time 0.769 (0.768)	Data 0.001 (0.001)	Loss 2.4990 (2.2027)	Prec@1 35.156 (44.564)	Prec@5 68.750 (75.137)
Epoch: [43][10430/14090]	Time 0.884 (0.768)	Data 0.001 (0.001)	Loss 2.0994 (2.2028)	Prec@1 48.438 (44.563)	Prec@5 77.344 (75.135)
Epoch: [43][10440/14090]	Time 0.734 (0.768)	Data 0.001 (0.001)	Loss 2.1976 (2.2028)	Prec@1 45.312 (44.563)	Prec@5 77.344 (75.135)
Epoch: [43][10450/14090]	Time 0.733 (0.768)	Data 0.003 (0.001)	Loss 2.4519 (2.2029)	Prec@1 38.281 (44.562)	Prec@5 71.094 (75.133)
Epoch: [43][10460/14090]	Time 0.770 (0.768)	Data 0.001 (0.001)	Loss 2.1096 (2.2029)	Prec@1 48.438 (44.562)	Prec@5 76.562 (75.132)
Epoch: [43][10470/14090]	Time 0.732 (0.768)	Data 0.001 (0.001)	Loss 2.1864 (2.2029)	Prec@1 42.969 (44.560)	Prec@5 75.781 (75.132)
Epoch: [43][10480/14090]	Time 0.748 (0.768)	Data 0.001 (0.001)	Loss 2.2037 (2.2029)	Prec@1 47.656 (44.558)	Prec@5 76.562 (75.133)
Epoch: [43][10490/14090]	Time 0.776 (0.768)	Data 0.001 (0.001)	Loss 2.3025 (2.2030)	Prec@1 46.875 (44.559)	Prec@5 76.562 (75.133)
Epoch: [43][10500/14090]	Time 0.850 (0.768)	Data 0.001 (0.001)	Loss 2.3084 (2.2030)	Prec@1 39.844 (44.557)	Prec@5 70.312 (75.131)
Epoch: [43][10510/14090]	Time 0.745 (0.768)	Data 0.001 (0.001)	Loss 2.2580 (2.2030)	Prec@1 42.969 (44.557)	Prec@5 78.125 (75.131)
Epoch: [43][10520/14090]	Time 0.732 (0.768)	Data 0.001 (0.001)	Loss 1.9742 (2.2030)	Prec@1 49.219 (44.558)	Prec@5 78.125 (75.132)
Epoch: [43][10530/14090]	Time 0.740 (0.768)	Data 0.001 (0.001)	Loss 2.1241 (2.2030)	Prec@1 40.625 (44.557)	Prec@5 80.469 (75.133)
Epoch: [43][10540/14090]	Time 0.784 (0.768)	Data 0.002 (0.001)	Loss 2.1415 (2.2030)	Prec@1 46.094 (44.557)	Prec@5 71.875 (75.133)
Epoch: [43][10550/14090]	Time 0.763 (0.768)	Data 0.001 (0.001)	Loss 2.1942 (2.2030)	Prec@1 44.531 (44.556)	Prec@5 75.000 (75.133)
Epoch: [43][10560/14090]	Time 0.754 (0.768)	Data 0.001 (0.001)	Loss 2.1886 (2.2030)	Prec@1 46.875 (44.556)	Prec@5 71.875 (75.134)
Epoch: [43][10570/14090]	Time 0.835 (0.768)	Data 0.001 (0.001)	Loss 2.1253 (2.2029)	Prec@1 45.312 (44.557)	Prec@5 75.781 (75.134)
Epoch: [43][10580/14090]	Time 0.752 (0.768)	Data 0.001 (0.001)	Loss 2.2154 (2.2029)	Prec@1 36.719 (44.555)	Prec@5 75.781 (75.134)
Epoch: [43][10590/14090]	Time 0.741 (0.768)	Data 0.001 (0.001)	Loss 2.3752 (2.2029)	Prec@1 37.500 (44.556)	Prec@5 76.562 (75.136)
Epoch: [43][10600/14090]	Time 0.759 (0.768)	Data 0.001 (0.001)	Loss 2.1920 (2.2030)	Prec@1 44.531 (44.556)	Prec@5 72.656 (75.136)
Epoch: [43][10610/14090]	Time 0.758 (0.768)	Data 0.001 (0.001)	Loss 2.3315 (2.2030)	Prec@1 41.406 (44.554)	Prec@5 74.219 (75.136)
Epoch: [43][10620/14090]	Time 0.756 (0.768)	Data 0.001 (0.001)	Loss 2.3561 (2.2031)	Prec@1 39.844 (44.552)	Prec@5 71.094 (75.134)
Epoch: [43][10630/14090]	Time 0.766 (0.768)	Data 0.001 (0.001)	Loss 2.2154 (2.2031)	Prec@1 41.406 (44.551)	Prec@5 68.750 (75.132)
Epoch: [43][10640/14090]	Time 0.821 (0.768)	Data 0.001 (0.001)	Loss 2.3680 (2.2032)	Prec@1 44.531 (44.551)	Prec@5 72.656 (75.132)
Epoch: [43][10650/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 2.1061 (2.2032)	Prec@1 44.531 (44.549)	Prec@5 75.781 (75.131)
Epoch: [43][10660/14090]	Time 0.734 (0.768)	Data 0.001 (0.001)	Loss 2.4433 (2.2032)	Prec@1 46.094 (44.548)	Prec@5 66.406 (75.130)
Epoch: [43][10670/14090]	Time 0.774 (0.768)	Data 0.001 (0.001)	Loss 2.2290 (2.2032)	Prec@1 46.094 (44.550)	Prec@5 75.781 (75.131)
Epoch: [43][10680/14090]	Time 0.765 (0.768)	Data 0.001 (0.001)	Loss 2.1761 (2.2032)	Prec@1 45.312 (44.552)	Prec@5 78.906 (75.132)
Epoch: [43][10690/14090]	Time 0.754 (0.768)	Data 0.001 (0.001)	Loss 2.1644 (2.2032)	Prec@1 41.406 (44.553)	Prec@5 77.344 (75.133)
Epoch: [43][10700/14090]	Time 0.767 (0.768)	Data 0.001 (0.001)	Loss 2.0987 (2.2032)	Prec@1 42.969 (44.552)	Prec@5 85.156 (75.135)
Epoch: [43][10710/14090]	Time 0.903 (0.768)	Data 0.001 (0.001)	Loss 2.4792 (2.2032)	Prec@1 39.062 (44.552)	Prec@5 71.094 (75.134)
Epoch: [43][10720/14090]	Time 0.744 (0.768)	Data 0.001 (0.001)	Loss 2.1732 (2.2033)	Prec@1 46.875 (44.551)	Prec@5 71.875 (75.133)
Epoch: [43][10730/14090]	Time 0.751 (0.768)	Data 0.001 (0.001)	Loss 2.0834 (2.2032)	Prec@1 42.188 (44.552)	Prec@5 82.031 (75.135)
Epoch: [43][10740/14090]	Time 0.748 (0.768)	Data 0.001 (0.001)	Loss 2.1373 (2.2031)	Prec@1 51.562 (44.555)	Prec@5 72.656 (75.136)
Epoch: [43][10750/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 2.4408 (2.2032)	Prec@1 39.062 (44.553)	Prec@5 71.094 (75.135)
Epoch: [43][10760/14090]	Time 0.762 (0.768)	Data 0.001 (0.001)	Loss 2.4059 (2.2033)	Prec@1 37.500 (44.553)	Prec@5 72.656 (75.133)
Epoch: [43][10770/14090]	Time 0.759 (0.768)	Data 0.001 (0.001)	Loss 2.3186 (2.2034)	Prec@1 39.062 (44.551)	Prec@5 71.875 (75.132)
Epoch: [43][10780/14090]	Time 0.884 (0.768)	Data 0.001 (0.001)	Loss 2.0126 (2.2034)	Prec@1 46.875 (44.549)	Prec@5 75.000 (75.132)
Epoch: [43][10790/14090]	Time 0.738 (0.768)	Data 0.002 (0.001)	Loss 2.0280 (2.2033)	Prec@1 40.625 (44.550)	Prec@5 82.031 (75.134)
Epoch: [43][10800/14090]	Time 0.755 (0.768)	Data 0.001 (0.001)	Loss 2.1754 (2.2034)	Prec@1 43.750 (44.549)	Prec@5 78.906 (75.134)
Epoch: [43][10810/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 2.2839 (2.2033)	Prec@1 45.312 (44.550)	Prec@5 73.438 (75.134)
Epoch: [43][10820/14090]	Time 0.741 (0.768)	Data 0.001 (0.001)	Loss 2.3045 (2.2032)	Prec@1 35.156 (44.552)	Prec@5 77.344 (75.136)
Epoch: [43][10830/14090]	Time 0.732 (0.768)	Data 0.001 (0.001)	Loss 2.0917 (2.2032)	Prec@1 50.781 (44.554)	Prec@5 75.000 (75.137)
Epoch: [43][10840/14090]	Time 0.756 (0.768)	Data 0.001 (0.001)	Loss 2.0465 (2.2031)	Prec@1 46.094 (44.555)	Prec@5 78.906 (75.137)
Epoch: [43][10850/14090]	Time 0.861 (0.768)	Data 0.001 (0.001)	Loss 2.3607 (2.2031)	Prec@1 42.188 (44.555)	Prec@5 72.656 (75.136)
Epoch: [43][10860/14090]	Time 0.737 (0.768)	Data 0.001 (0.001)	Loss 2.4241 (2.2031)	Prec@1 37.500 (44.553)	Prec@5 68.750 (75.135)
Epoch: [43][10870/14090]	Time 0.737 (0.768)	Data 0.001 (0.001)	Loss 2.1238 (2.2030)	Prec@1 44.531 (44.554)	Prec@5 77.344 (75.137)
Epoch: [43][10880/14090]	Time 0.746 (0.768)	Data 0.001 (0.001)	Loss 2.0026 (2.2031)	Prec@1 43.750 (44.555)	Prec@5 80.469 (75.138)
Epoch: [43][10890/14090]	Time 0.751 (0.768)	Data 0.001 (0.001)	Loss 2.2903 (2.2031)	Prec@1 42.969 (44.553)	Prec@5 72.656 (75.138)
Epoch: [43][10900/14090]	Time 0.755 (0.768)	Data 0.001 (0.001)	Loss 2.2674 (2.2031)	Prec@1 42.969 (44.551)	Prec@5 72.656 (75.136)
Epoch: [43][10910/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 2.2162 (2.2031)	Prec@1 36.719 (44.550)	Prec@5 78.906 (75.137)
Epoch: [43][10920/14090]	Time 0.877 (0.768)	Data 0.001 (0.001)	Loss 2.4122 (2.2031)	Prec@1 40.625 (44.549)	Prec@5 68.750 (75.137)
Epoch: [43][10930/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 2.2039 (2.2031)	Prec@1 45.312 (44.551)	Prec@5 77.344 (75.137)
Epoch: [43][10940/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 1.9146 (2.2030)	Prec@1 52.344 (44.553)	Prec@5 82.812 (75.138)
Epoch: [43][10950/14090]	Time 0.774 (0.768)	Data 0.001 (0.001)	Loss 2.2566 (2.2030)	Prec@1 43.750 (44.552)	Prec@5 72.656 (75.138)
Epoch: [43][10960/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 2.2946 (2.2031)	Prec@1 46.094 (44.551)	Prec@5 75.781 (75.138)
Epoch: [43][10970/14090]	Time 0.740 (0.768)	Data 0.001 (0.001)	Loss 2.2304 (2.2031)	Prec@1 38.281 (44.549)	Prec@5 75.000 (75.138)
Epoch: [43][10980/14090]	Time 0.730 (0.768)	Data 0.001 (0.001)	Loss 2.4040 (2.2031)	Prec@1 38.281 (44.547)	Prec@5 68.750 (75.137)
Epoch: [43][10990/14090]	Time 0.863 (0.768)	Data 0.001 (0.001)	Loss 2.3017 (2.2032)	Prec@1 39.062 (44.545)	Prec@5 71.875 (75.135)
Epoch: [43][11000/14090]	Time 0.757 (0.768)	Data 0.001 (0.001)	Loss 2.3604 (2.2033)	Prec@1 41.406 (44.546)	Prec@5 67.969 (75.133)
Epoch: [43][11010/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 2.1789 (2.2033)	Prec@1 42.969 (44.545)	Prec@5 78.125 (75.132)
Epoch: [43][11020/14090]	Time 0.734 (0.768)	Data 0.001 (0.001)	Loss 1.9937 (2.2033)	Prec@1 48.438 (44.544)	Prec@5 80.469 (75.132)
Epoch: [43][11030/14090]	Time 0.774 (0.768)	Data 0.001 (0.001)	Loss 2.0613 (2.2033)	Prec@1 49.219 (44.546)	Prec@5 78.906 (75.132)
Epoch: [43][11040/14090]	Time 0.751 (0.768)	Data 0.001 (0.001)	Loss 2.2264 (2.2033)	Prec@1 43.750 (44.548)	Prec@5 73.438 (75.134)
Epoch: [43][11050/14090]	Time 0.747 (0.768)	Data 0.001 (0.001)	Loss 2.0651 (2.2033)	Prec@1 55.469 (44.548)	Prec@5 75.781 (75.133)
Epoch: [43][11060/14090]	Time 0.876 (0.768)	Data 0.001 (0.001)	Loss 2.2731 (2.2034)	Prec@1 44.531 (44.547)	Prec@5 71.094 (75.132)
Epoch: [43][11070/14090]	Time 0.744 (0.768)	Data 0.001 (0.001)	Loss 2.1258 (2.2034)	Prec@1 42.188 (44.546)	Prec@5 81.250 (75.132)
Epoch: [43][11080/14090]	Time 0.781 (0.768)	Data 0.001 (0.001)	Loss 2.3708 (2.2034)	Prec@1 41.406 (44.546)	Prec@5 76.562 (75.133)
Epoch: [43][11090/14090]	Time 0.729 (0.768)	Data 0.001 (0.001)	Loss 2.3223 (2.2034)	Prec@1 42.188 (44.546)	Prec@5 75.000 (75.132)
Epoch: [43][11100/14090]	Time 0.746 (0.768)	Data 0.001 (0.001)	Loss 2.3849 (2.2034)	Prec@1 46.094 (44.547)	Prec@5 71.094 (75.133)
Epoch: [43][11110/14090]	Time 0.752 (0.768)	Data 0.001 (0.001)	Loss 2.4234 (2.2034)	Prec@1 38.281 (44.547)	Prec@5 74.219 (75.132)
Epoch: [43][11120/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 2.2475 (2.2034)	Prec@1 39.062 (44.547)	Prec@5 74.219 (75.133)
Epoch: [43][11130/14090]	Time 0.883 (0.768)	Data 0.001 (0.001)	Loss 2.2145 (2.2034)	Prec@1 44.531 (44.546)	Prec@5 74.219 (75.132)
Epoch: [43][11140/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 2.2818 (2.2034)	Prec@1 47.656 (44.546)	Prec@5 68.750 (75.131)
Epoch: [43][11150/14090]	Time 0.757 (0.768)	Data 0.001 (0.001)	Loss 2.3512 (2.2034)	Prec@1 45.312 (44.545)	Prec@5 73.438 (75.132)
Epoch: [43][11160/14090]	Time 0.734 (0.768)	Data 0.001 (0.001)	Loss 2.0325 (2.2034)	Prec@1 44.531 (44.545)	Prec@5 78.125 (75.133)
Epoch: [43][11170/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 2.2714 (2.2034)	Prec@1 40.625 (44.545)	Prec@5 75.781 (75.133)
Epoch: [43][11180/14090]	Time 0.745 (0.768)	Data 0.001 (0.001)	Loss 2.0415 (2.2035)	Prec@1 47.656 (44.544)	Prec@5 79.688 (75.134)
Epoch: [43][11190/14090]	Time 0.761 (0.768)	Data 0.001 (0.001)	Loss 2.3241 (2.2034)	Prec@1 36.719 (44.545)	Prec@5 75.000 (75.135)
Epoch: [43][11200/14090]	Time 0.864 (0.768)	Data 0.001 (0.001)	Loss 1.9030 (2.2034)	Prec@1 51.562 (44.544)	Prec@5 78.125 (75.135)
Epoch: [43][11210/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 2.4808 (2.2034)	Prec@1 42.969 (44.545)	Prec@5 71.094 (75.134)
Epoch: [43][11220/14090]	Time 0.741 (0.768)	Data 0.001 (0.001)	Loss 2.2259 (2.2034)	Prec@1 44.531 (44.545)	Prec@5 75.781 (75.134)
Epoch: [43][11230/14090]	Time 0.726 (0.768)	Data 0.001 (0.001)	Loss 2.0791 (2.2035)	Prec@1 46.094 (44.543)	Prec@5 76.562 (75.132)
Epoch: [43][11240/14090]	Time 0.730 (0.768)	Data 0.001 (0.001)	Loss 2.0457 (2.2035)	Prec@1 46.875 (44.543)	Prec@5 80.469 (75.132)
Epoch: [43][11250/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 2.1068 (2.2034)	Prec@1 45.312 (44.544)	Prec@5 75.781 (75.134)
Epoch: [43][11260/14090]	Time 0.758 (0.768)	Data 0.001 (0.001)	Loss 2.1507 (2.2035)	Prec@1 43.750 (44.545)	Prec@5 78.906 (75.133)
Epoch: [43][11270/14090]	Time 0.871 (0.768)	Data 0.001 (0.001)	Loss 2.7556 (2.2035)	Prec@1 32.812 (44.545)	Prec@5 67.969 (75.132)
Epoch: [43][11280/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 2.1981 (2.2034)	Prec@1 42.188 (44.547)	Prec@5 74.219 (75.133)
Epoch: [43][11290/14090]	Time 0.737 (0.768)	Data 0.001 (0.001)	Loss 2.2795 (2.2034)	Prec@1 40.625 (44.545)	Prec@5 71.094 (75.131)
Epoch: [43][11300/14090]	Time 0.758 (0.768)	Data 0.001 (0.001)	Loss 1.6682 (2.2035)	Prec@1 53.125 (44.545)	Prec@5 85.938 (75.131)
Epoch: [43][11310/14090]	Time 0.755 (0.768)	Data 0.001 (0.001)	Loss 2.3779 (2.2035)	Prec@1 37.500 (44.543)	Prec@5 74.219 (75.129)
Epoch: [43][11320/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 2.3250 (2.2035)	Prec@1 40.625 (44.543)	Prec@5 71.875 (75.131)
Epoch: [43][11330/14090]	Time 0.749 (0.768)	Data 0.001 (0.001)	Loss 2.2722 (2.2035)	Prec@1 41.406 (44.542)	Prec@5 72.656 (75.131)
Epoch: [43][11340/14090]	Time 0.888 (0.768)	Data 0.001 (0.001)	Loss 2.1788 (2.2035)	Prec@1 44.531 (44.542)	Prec@5 75.781 (75.129)
Epoch: [43][11350/14090]	Time 0.748 (0.768)	Data 0.001 (0.001)	Loss 2.2383 (2.2036)	Prec@1 41.406 (44.541)	Prec@5 76.562 (75.128)
Epoch: [43][11360/14090]	Time 0.735 (0.768)	Data 0.001 (0.001)	Loss 1.8295 (2.2035)	Prec@1 50.781 (44.541)	Prec@5 82.812 (75.130)
Epoch: [43][11370/14090]	Time 0.737 (0.768)	Data 0.001 (0.001)	Loss 2.1506 (2.2035)	Prec@1 46.875 (44.541)	Prec@5 75.000 (75.132)
Epoch: [43][11380/14090]	Time 0.754 (0.768)	Data 0.001 (0.001)	Loss 2.4761 (2.2036)	Prec@1 39.062 (44.541)	Prec@5 72.656 (75.130)
Epoch: [43][11390/14090]	Time 0.752 (0.768)	Data 0.001 (0.001)	Loss 2.5244 (2.2036)	Prec@1 39.844 (44.541)	Prec@5 72.656 (75.130)
Epoch: [43][11400/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 2.3817 (2.2036)	Prec@1 42.188 (44.540)	Prec@5 74.219 (75.128)
Epoch: [43][11410/14090]	Time 0.845 (0.768)	Data 0.001 (0.001)	Loss 1.9319 (2.2036)	Prec@1 50.781 (44.542)	Prec@5 78.906 (75.130)
Epoch: [43][11420/14090]	Time 0.737 (0.768)	Data 0.001 (0.001)	Loss 1.9589 (2.2035)	Prec@1 50.781 (44.542)	Prec@5 79.688 (75.130)
Epoch: [43][11430/14090]	Time 0.781 (0.768)	Data 0.001 (0.001)	Loss 2.5800 (2.2036)	Prec@1 42.188 (44.540)	Prec@5 65.625 (75.129)
Epoch: [43][11440/14090]	Time 0.771 (0.768)	Data 0.001 (0.001)	Loss 2.2266 (2.2035)	Prec@1 45.312 (44.541)	Prec@5 74.219 (75.128)
Epoch: [43][11450/14090]	Time 0.744 (0.768)	Data 0.001 (0.001)	Loss 2.2038 (2.2035)	Prec@1 46.094 (44.540)	Prec@5 71.094 (75.129)
Epoch: [43][11460/14090]	Time 0.754 (0.768)	Data 0.001 (0.001)	Loss 2.2356 (2.2034)	Prec@1 42.188 (44.543)	Prec@5 73.438 (75.132)
Epoch: [43][11470/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 2.2292 (2.2033)	Prec@1 42.969 (44.542)	Prec@5 72.656 (75.134)
Epoch: [43][11480/14090]	Time 0.861 (0.768)	Data 0.001 (0.001)	Loss 2.0284 (2.2033)	Prec@1 45.312 (44.542)	Prec@5 75.781 (75.135)
Epoch: [43][11490/14090]	Time 0.789 (0.768)	Data 0.001 (0.001)	Loss 2.1974 (2.2033)	Prec@1 44.531 (44.544)	Prec@5 76.562 (75.134)
Epoch: [43][11500/14090]	Time 0.730 (0.768)	Data 0.001 (0.001)	Loss 2.4445 (2.2033)	Prec@1 34.375 (44.545)	Prec@5 68.750 (75.134)
Epoch: [43][11510/14090]	Time 0.782 (0.768)	Data 0.001 (0.001)	Loss 2.2600 (2.2034)	Prec@1 39.844 (44.546)	Prec@5 73.438 (75.133)
Epoch: [43][11520/14090]	Time 0.743 (0.768)	Data 0.001 (0.001)	Loss 2.0680 (2.2033)	Prec@1 43.750 (44.544)	Prec@5 78.125 (75.133)
Epoch: [43][11530/14090]	Time 0.745 (0.768)	Data 0.001 (0.001)	Loss 2.1031 (2.2033)	Prec@1 45.312 (44.545)	Prec@5 75.781 (75.133)
Epoch: [43][11540/14090]	Time 0.730 (0.768)	Data 0.001 (0.001)	Loss 2.3954 (2.2033)	Prec@1 37.500 (44.546)	Prec@5 72.656 (75.133)
Epoch: [43][11550/14090]	Time 0.861 (0.768)	Data 0.001 (0.001)	Loss 2.1891 (2.2033)	Prec@1 46.094 (44.545)	Prec@5 71.875 (75.133)
Epoch: [43][11560/14090]	Time 0.728 (0.768)	Data 0.001 (0.001)	Loss 2.0007 (2.2033)	Prec@1 50.000 (44.544)	Prec@5 79.688 (75.132)
Epoch: [43][11570/14090]	Time 0.729 (0.768)	Data 0.001 (0.001)	Loss 2.1184 (2.2033)	Prec@1 47.656 (44.545)	Prec@5 77.344 (75.132)
Epoch: [43][11580/14090]	Time 0.732 (0.768)	Data 0.001 (0.001)	Loss 2.4381 (2.2033)	Prec@1 42.969 (44.544)	Prec@5 71.875 (75.131)
Epoch: [43][11590/14090]	Time 0.729 (0.768)	Data 0.001 (0.001)	Loss 2.1962 (2.2033)	Prec@1 44.531 (44.544)	Prec@5 77.344 (75.131)
Epoch: [43][11600/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 2.0612 (2.2033)	Prec@1 49.219 (44.545)	Prec@5 75.781 (75.132)
Epoch: [43][11610/14090]	Time 0.773 (0.768)	Data 0.001 (0.001)	Loss 2.3788 (2.2034)	Prec@1 42.188 (44.542)	Prec@5 73.438 (75.130)
Epoch: [43][11620/14090]	Time 0.849 (0.768)	Data 0.001 (0.001)	Loss 2.0066 (2.2034)	Prec@1 46.875 (44.541)	Prec@5 78.125 (75.130)
Epoch: [43][11630/14090]	Time 0.735 (0.768)	Data 0.001 (0.001)	Loss 2.3295 (2.2034)	Prec@1 39.844 (44.542)	Prec@5 72.656 (75.130)
Epoch: [43][11640/14090]	Time 0.745 (0.768)	Data 0.001 (0.001)	Loss 2.5263 (2.2034)	Prec@1 35.156 (44.543)	Prec@5 66.406 (75.131)
Epoch: [43][11650/14090]	Time 0.773 (0.768)	Data 0.001 (0.001)	Loss 2.2590 (2.2034)	Prec@1 40.625 (44.543)	Prec@5 75.000 (75.132)
Epoch: [43][11660/14090]	Time 0.743 (0.768)	Data 0.001 (0.001)	Loss 2.2747 (2.2033)	Prec@1 39.062 (44.544)	Prec@5 77.344 (75.134)
Epoch: [43][11670/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 2.3748 (2.2033)	Prec@1 38.281 (44.544)	Prec@5 68.750 (75.135)
Epoch: [43][11680/14090]	Time 0.765 (0.768)	Data 0.001 (0.001)	Loss 2.1265 (2.2033)	Prec@1 47.656 (44.545)	Prec@5 80.469 (75.136)
Epoch: [43][11690/14090]	Time 0.853 (0.768)	Data 0.001 (0.001)	Loss 1.8913 (2.2033)	Prec@1 50.781 (44.545)	Prec@5 82.031 (75.135)
Epoch: [43][11700/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 1.9523 (2.2033)	Prec@1 52.344 (44.543)	Prec@5 75.781 (75.134)
Epoch: [43][11710/14090]	Time 0.735 (0.768)	Data 0.001 (0.001)	Loss 2.3831 (2.2034)	Prec@1 43.750 (44.542)	Prec@5 71.094 (75.134)
Epoch: [43][11720/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 2.2581 (2.2033)	Prec@1 41.406 (44.544)	Prec@5 68.750 (75.135)
Epoch: [43][11730/14090]	Time 0.740 (0.768)	Data 0.001 (0.001)	Loss 2.4425 (2.2034)	Prec@1 39.062 (44.544)	Prec@5 68.750 (75.135)
Epoch: [43][11740/14090]	Time 0.728 (0.768)	Data 0.001 (0.001)	Loss 2.2507 (2.2035)	Prec@1 36.719 (44.543)	Prec@5 77.344 (75.133)
Epoch: [43][11750/14090]	Time 0.737 (0.768)	Data 0.001 (0.001)	Loss 2.3567 (2.2034)	Prec@1 42.969 (44.543)	Prec@5 68.750 (75.133)
Epoch: [43][11760/14090]	Time 0.836 (0.768)	Data 0.001 (0.001)	Loss 2.0180 (2.2034)	Prec@1 42.188 (44.544)	Prec@5 79.688 (75.134)
Epoch: [43][11770/14090]	Time 0.778 (0.768)	Data 0.001 (0.001)	Loss 2.2500 (2.2035)	Prec@1 51.562 (44.543)	Prec@5 76.562 (75.132)
Epoch: [43][11780/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 2.3438 (2.2035)	Prec@1 36.719 (44.542)	Prec@5 72.656 (75.131)
Epoch: [43][11790/14090]	Time 0.742 (0.768)	Data 0.001 (0.001)	Loss 2.0760 (2.2035)	Prec@1 48.438 (44.543)	Prec@5 78.906 (75.132)
Epoch: [43][11800/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 2.6446 (2.2035)	Prec@1 37.500 (44.542)	Prec@5 67.969 (75.131)
Epoch: [43][11810/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 2.1916 (2.2035)	Prec@1 47.656 (44.543)	Prec@5 74.219 (75.133)
Epoch: [43][11820/14090]	Time 0.730 (0.768)	Data 0.001 (0.001)	Loss 2.5038 (2.2035)	Prec@1 44.531 (44.543)	Prec@5 66.406 (75.131)
Epoch: [43][11830/14090]	Time 0.883 (0.768)	Data 0.001 (0.001)	Loss 2.3528 (2.2036)	Prec@1 42.188 (44.542)	Prec@5 75.781 (75.129)
Epoch: [43][11840/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 1.9731 (2.2037)	Prec@1 50.000 (44.541)	Prec@5 80.469 (75.129)
Epoch: [43][11850/14090]	Time 0.744 (0.768)	Data 0.001 (0.001)	Loss 2.1454 (2.2037)	Prec@1 42.969 (44.541)	Prec@5 74.219 (75.129)
Epoch: [43][11860/14090]	Time 0.733 (0.768)	Data 0.001 (0.001)	Loss 2.0597 (2.2037)	Prec@1 44.531 (44.541)	Prec@5 80.469 (75.129)
Epoch: [43][11870/14090]	Time 0.747 (0.768)	Data 0.001 (0.001)	Loss 2.3419 (2.2038)	Prec@1 45.312 (44.539)	Prec@5 70.312 (75.128)
Epoch: [43][11880/14090]	Time 0.734 (0.768)	Data 0.001 (0.001)	Loss 2.5381 (2.2038)	Prec@1 42.188 (44.539)	Prec@5 67.969 (75.128)
Epoch: [43][11890/14090]	Time 0.755 (0.768)	Data 0.001 (0.001)	Loss 2.3332 (2.2038)	Prec@1 42.188 (44.539)	Prec@5 74.219 (75.128)
Epoch: [43][11900/14090]	Time 0.869 (0.768)	Data 0.001 (0.001)	Loss 2.2469 (2.2039)	Prec@1 46.094 (44.537)	Prec@5 78.125 (75.127)
Epoch: [43][11910/14090]	Time 0.725 (0.768)	Data 0.001 (0.001)	Loss 2.1113 (2.2039)	Prec@1 47.656 (44.537)	Prec@5 75.781 (75.128)
Epoch: [43][11920/14090]	Time 0.752 (0.768)	Data 0.001 (0.001)	Loss 2.1555 (2.2038)	Prec@1 44.531 (44.539)	Prec@5 82.031 (75.129)
Epoch: [43][11930/14090]	Time 0.756 (0.768)	Data 0.001 (0.001)	Loss 2.3012 (2.2038)	Prec@1 44.531 (44.540)	Prec@5 76.562 (75.130)
Epoch: [43][11940/14090]	Time 0.721 (0.768)	Data 0.001 (0.001)	Loss 2.1408 (2.2038)	Prec@1 48.438 (44.540)	Prec@5 73.438 (75.130)
Epoch: [43][11950/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 2.3729 (2.2038)	Prec@1 48.438 (44.540)	Prec@5 67.969 (75.130)
Epoch: [43][11960/14090]	Time 0.750 (0.768)	Data 0.001 (0.001)	Loss 2.1871 (2.2037)	Prec@1 43.750 (44.541)	Prec@5 75.781 (75.131)
Epoch: [43][11970/14090]	Time 0.894 (0.768)	Data 0.001 (0.001)	Loss 2.0884 (2.2038)	Prec@1 46.094 (44.540)	Prec@5 80.469 (75.132)
Epoch: [43][11980/14090]	Time 0.759 (0.768)	Data 0.001 (0.001)	Loss 2.1806 (2.2038)	Prec@1 50.000 (44.539)	Prec@5 80.469 (75.133)
Epoch: [43][11990/14090]	Time 0.732 (0.768)	Data 0.001 (0.001)	Loss 2.0459 (2.2037)	Prec@1 50.000 (44.541)	Prec@5 78.125 (75.133)
Epoch: [43][12000/14090]	Time 0.762 (0.768)	Data 0.001 (0.001)	Loss 2.1473 (2.2038)	Prec@1 48.438 (44.538)	Prec@5 75.781 (75.131)
Epoch: [43][12010/14090]	Time 0.773 (0.768)	Data 0.001 (0.001)	Loss 2.3538 (2.2038)	Prec@1 40.625 (44.538)	Prec@5 75.000 (75.132)
Epoch: [43][12020/14090]	Time 0.759 (0.768)	Data 0.001 (0.001)	Loss 2.3462 (2.2038)	Prec@1 39.062 (44.537)	Prec@5 73.438 (75.132)
Epoch: [43][12030/14090]	Time 0.756 (0.768)	Data 0.001 (0.001)	Loss 2.4536 (2.2038)	Prec@1 38.281 (44.537)	Prec@5 70.312 (75.131)
Epoch: [43][12040/14090]	Time 0.867 (0.768)	Data 0.001 (0.001)	Loss 2.2416 (2.2038)	Prec@1 45.312 (44.537)	Prec@5 72.656 (75.131)
Epoch: [43][12050/14090]	Time 0.747 (0.768)	Data 0.001 (0.001)	Loss 2.1308 (2.2039)	Prec@1 46.094 (44.536)	Prec@5 79.688 (75.130)
Epoch: [43][12060/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 2.2027 (2.2039)	Prec@1 46.094 (44.535)	Prec@5 75.000 (75.130)
Epoch: [43][12070/14090]	Time 0.741 (0.768)	Data 0.001 (0.001)	Loss 2.2798 (2.2038)	Prec@1 44.531 (44.537)	Prec@5 70.312 (75.131)
Epoch: [43][12080/14090]	Time 0.747 (0.768)	Data 0.001 (0.001)	Loss 2.2694 (2.2038)	Prec@1 48.438 (44.536)	Prec@5 71.875 (75.130)
Epoch: [43][12090/14090]	Time 0.748 (0.768)	Data 0.001 (0.001)	Loss 2.3515 (2.2039)	Prec@1 38.281 (44.537)	Prec@5 71.875 (75.130)
Epoch: [43][12100/14090]	Time 0.783 (0.768)	Data 0.001 (0.001)	Loss 2.2006 (2.2039)	Prec@1 42.188 (44.536)	Prec@5 71.875 (75.129)
Epoch: [43][12110/14090]	Time 0.832 (0.768)	Data 0.001 (0.001)	Loss 2.2093 (2.2040)	Prec@1 44.531 (44.536)	Prec@5 76.562 (75.128)
Epoch: [43][12120/14090]	Time 0.725 (0.768)	Data 0.001 (0.001)	Loss 2.4075 (2.2040)	Prec@1 35.156 (44.536)	Prec@5 71.094 (75.128)
Epoch: [43][12130/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 2.6156 (2.2041)	Prec@1 40.625 (44.536)	Prec@5 64.844 (75.125)
Epoch: [43][12140/14090]	Time 0.778 (0.768)	Data 0.001 (0.001)	Loss 2.4580 (2.2041)	Prec@1 39.844 (44.535)	Prec@5 66.406 (75.124)
Epoch: [43][12150/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 2.2949 (2.2041)	Prec@1 42.969 (44.536)	Prec@5 75.781 (75.125)
Epoch: [43][12160/14090]	Time 0.721 (0.768)	Data 0.001 (0.001)	Loss 2.1574 (2.2041)	Prec@1 45.312 (44.535)	Prec@5 74.219 (75.124)
Epoch: [43][12170/14090]	Time 0.735 (0.768)	Data 0.001 (0.001)	Loss 2.1586 (2.2042)	Prec@1 46.875 (44.534)	Prec@5 75.000 (75.123)
Epoch: [43][12180/14090]	Time 0.846 (0.768)	Data 0.001 (0.001)	Loss 2.0633 (2.2042)	Prec@1 50.781 (44.535)	Prec@5 76.562 (75.123)
Epoch: [43][12190/14090]	Time 0.741 (0.768)	Data 0.001 (0.001)	Loss 2.0885 (2.2042)	Prec@1 48.438 (44.535)	Prec@5 76.562 (75.122)
Epoch: [43][12200/14090]	Time 0.746 (0.768)	Data 0.001 (0.001)	Loss 2.4166 (2.2042)	Prec@1 44.531 (44.535)	Prec@5 71.875 (75.122)
Epoch: [43][12210/14090]	Time 0.750 (0.768)	Data 0.001 (0.001)	Loss 2.2812 (2.2043)	Prec@1 42.188 (44.534)	Prec@5 75.000 (75.122)
Epoch: [43][12220/14090]	Time 0.728 (0.768)	Data 0.001 (0.001)	Loss 2.3715 (2.2043)	Prec@1 37.500 (44.532)	Prec@5 69.531 (75.122)
Epoch: [43][12230/14090]	Time 0.737 (0.768)	Data 0.001 (0.001)	Loss 2.0868 (2.2044)	Prec@1 42.969 (44.530)	Prec@5 84.375 (75.121)
Epoch: [43][12240/14090]	Time 0.745 (0.768)	Data 0.001 (0.001)	Loss 2.2173 (2.2043)	Prec@1 46.094 (44.533)	Prec@5 74.219 (75.122)
Epoch: [43][12250/14090]	Time 0.828 (0.768)	Data 0.001 (0.001)	Loss 2.0272 (2.2043)	Prec@1 51.562 (44.534)	Prec@5 75.000 (75.122)
Epoch: [43][12260/14090]	Time 0.783 (0.768)	Data 0.001 (0.001)	Loss 2.5814 (2.2044)	Prec@1 38.281 (44.533)	Prec@5 71.875 (75.121)
Epoch: [43][12270/14090]	Time 0.769 (0.768)	Data 0.001 (0.001)	Loss 2.1036 (2.2044)	Prec@1 48.438 (44.535)	Prec@5 72.656 (75.120)
Epoch: [43][12280/14090]	Time 0.723 (0.768)	Data 0.001 (0.001)	Loss 1.9502 (2.2044)	Prec@1 50.000 (44.534)	Prec@5 78.125 (75.121)
Epoch: [43][12290/14090]	Time 0.752 (0.768)	Data 0.001 (0.001)	Loss 2.2842 (2.2044)	Prec@1 46.094 (44.533)	Prec@5 75.000 (75.119)
Epoch: [43][12300/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 2.1883 (2.2044)	Prec@1 47.656 (44.533)	Prec@5 71.875 (75.119)
Epoch: [43][12310/14090]	Time 0.732 (0.768)	Data 0.001 (0.001)	Loss 2.2480 (2.2044)	Prec@1 41.406 (44.532)	Prec@5 74.219 (75.120)
Epoch: [43][12320/14090]	Time 0.865 (0.768)	Data 0.001 (0.001)	Loss 2.1207 (2.2043)	Prec@1 48.438 (44.535)	Prec@5 78.125 (75.122)
Epoch: [43][12330/14090]	Time 0.769 (0.768)	Data 0.001 (0.001)	Loss 2.3739 (2.2044)	Prec@1 39.062 (44.535)	Prec@5 71.875 (75.121)
Epoch: [43][12340/14090]	Time 0.728 (0.768)	Data 0.001 (0.001)	Loss 2.1630 (2.2044)	Prec@1 42.969 (44.533)	Prec@5 75.000 (75.120)
Epoch: [43][12350/14090]	Time 0.784 (0.768)	Data 0.001 (0.001)	Loss 2.0454 (2.2044)	Prec@1 51.562 (44.535)	Prec@5 75.781 (75.122)
Epoch: [43][12360/14090]	Time 0.748 (0.768)	Data 0.001 (0.001)	Loss 2.0343 (2.2044)	Prec@1 47.656 (44.535)	Prec@5 76.562 (75.123)
Epoch: [43][12370/14090]	Time 0.728 (0.768)	Data 0.001 (0.001)	Loss 2.0436 (2.2044)	Prec@1 42.188 (44.534)	Prec@5 83.594 (75.122)
Epoch: [43][12380/14090]	Time 0.768 (0.768)	Data 0.001 (0.001)	Loss 2.1766 (2.2043)	Prec@1 40.625 (44.534)	Prec@5 76.562 (75.123)
Epoch: [43][12390/14090]	Time 0.877 (0.768)	Data 0.001 (0.001)	Loss 2.5006 (2.2043)	Prec@1 38.281 (44.535)	Prec@5 67.969 (75.124)
Epoch: [43][12400/14090]	Time 0.719 (0.768)	Data 0.001 (0.001)	Loss 2.2143 (2.2043)	Prec@1 44.531 (44.535)	Prec@5 74.219 (75.124)
Epoch: [43][12410/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 2.2904 (2.2044)	Prec@1 45.312 (44.534)	Prec@5 74.219 (75.121)
Epoch: [43][12420/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 2.1493 (2.2044)	Prec@1 48.438 (44.532)	Prec@5 73.438 (75.120)
Epoch: [43][12430/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 2.1205 (2.2044)	Prec@1 44.531 (44.532)	Prec@5 72.656 (75.119)
Epoch: [43][12440/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 2.0989 (2.2044)	Prec@1 46.875 (44.532)	Prec@5 72.656 (75.118)
Epoch: [43][12450/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 2.2926 (2.2044)	Prec@1 43.750 (44.533)	Prec@5 74.219 (75.117)
Epoch: [43][12460/14090]	Time 0.888 (0.767)	Data 0.001 (0.001)	Loss 1.9636 (2.2044)	Prec@1 48.438 (44.532)	Prec@5 82.031 (75.118)
Epoch: [43][12470/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 2.2055 (2.2044)	Prec@1 49.219 (44.531)	Prec@5 71.875 (75.117)
Epoch: [43][12480/14090]	Time 0.763 (0.767)	Data 0.001 (0.001)	Loss 1.9244 (2.2045)	Prec@1 46.094 (44.528)	Prec@5 78.906 (75.117)
Epoch: [43][12490/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 1.8764 (2.2045)	Prec@1 55.469 (44.529)	Prec@5 75.000 (75.116)
Epoch: [43][12500/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 2.3086 (2.2045)	Prec@1 42.969 (44.529)	Prec@5 71.875 (75.116)
Epoch: [43][12510/14090]	Time 0.773 (0.768)	Data 0.001 (0.001)	Loss 2.0815 (2.2045)	Prec@1 49.219 (44.528)	Prec@5 79.688 (75.116)
Epoch: [43][12520/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 2.4720 (2.2046)	Prec@1 42.188 (44.526)	Prec@5 70.312 (75.114)
Epoch: [43][12530/14090]	Time 0.860 (0.767)	Data 0.001 (0.001)	Loss 2.0581 (2.2045)	Prec@1 46.875 (44.527)	Prec@5 77.344 (75.115)
Epoch: [43][12540/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 1.9934 (2.2045)	Prec@1 47.656 (44.527)	Prec@5 81.250 (75.116)
Epoch: [43][12550/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 1.9343 (2.2045)	Prec@1 46.875 (44.526)	Prec@5 82.031 (75.117)
Epoch: [43][12560/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.3153 (2.2045)	Prec@1 40.625 (44.525)	Prec@5 75.000 (75.116)
Epoch: [43][12570/14090]	Time 0.775 (0.767)	Data 0.001 (0.001)	Loss 2.1895 (2.2044)	Prec@1 42.969 (44.527)	Prec@5 78.125 (75.117)
Epoch: [43][12580/14090]	Time 0.767 (0.767)	Data 0.001 (0.001)	Loss 2.0870 (2.2044)	Prec@1 46.094 (44.527)	Prec@5 76.562 (75.117)
Epoch: [43][12590/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 2.2983 (2.2045)	Prec@1 42.969 (44.525)	Prec@5 77.344 (75.116)
Epoch: [43][12600/14090]	Time 0.866 (0.767)	Data 0.002 (0.001)	Loss 2.3156 (2.2045)	Prec@1 38.281 (44.525)	Prec@5 71.094 (75.116)
Epoch: [43][12610/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 2.3066 (2.2045)	Prec@1 46.094 (44.527)	Prec@5 74.219 (75.117)
Epoch: [43][12620/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.2236 (2.2046)	Prec@1 50.000 (44.525)	Prec@5 70.312 (75.115)
Epoch: [43][12630/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 2.3541 (2.2046)	Prec@1 37.500 (44.526)	Prec@5 71.875 (75.115)
Epoch: [43][12640/14090]	Time 0.718 (0.767)	Data 0.001 (0.001)	Loss 2.3627 (2.2046)	Prec@1 43.750 (44.525)	Prec@5 69.531 (75.114)
Epoch: [43][12650/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.2298 (2.2046)	Prec@1 45.312 (44.525)	Prec@5 75.000 (75.115)
Epoch: [43][12660/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 1.9870 (2.2046)	Prec@1 53.125 (44.526)	Prec@5 79.688 (75.116)
Epoch: [43][12670/14090]	Time 0.869 (0.767)	Data 0.001 (0.001)	Loss 2.0147 (2.2046)	Prec@1 48.438 (44.525)	Prec@5 77.344 (75.116)
Epoch: [43][12680/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 1.9473 (2.2046)	Prec@1 50.000 (44.524)	Prec@5 76.562 (75.116)
Epoch: [43][12690/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.1169 (2.2045)	Prec@1 39.844 (44.524)	Prec@5 75.781 (75.117)
Epoch: [43][12700/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 1.9332 (2.2046)	Prec@1 50.000 (44.524)	Prec@5 81.250 (75.117)
Epoch: [43][12710/14090]	Time 0.766 (0.767)	Data 0.001 (0.001)	Loss 2.5160 (2.2046)	Prec@1 42.188 (44.524)	Prec@5 73.438 (75.117)
Epoch: [43][12720/14090]	Time 0.763 (0.767)	Data 0.001 (0.001)	Loss 2.4705 (2.2046)	Prec@1 40.625 (44.524)	Prec@5 71.094 (75.117)
Epoch: [43][12730/14090]	Time 0.776 (0.767)	Data 0.001 (0.001)	Loss 1.9652 (2.2046)	Prec@1 46.094 (44.525)	Prec@5 78.906 (75.117)
Epoch: [43][12740/14090]	Time 0.869 (0.767)	Data 0.001 (0.001)	Loss 2.1548 (2.2046)	Prec@1 47.656 (44.526)	Prec@5 78.906 (75.118)
Epoch: [43][12750/14090]	Time 0.777 (0.767)	Data 0.001 (0.001)	Loss 2.0556 (2.2046)	Prec@1 46.094 (44.527)	Prec@5 78.906 (75.118)
Epoch: [43][12760/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 2.4172 (2.2047)	Prec@1 44.531 (44.526)	Prec@5 74.219 (75.116)
Epoch: [43][12770/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 2.0557 (2.2047)	Prec@1 53.125 (44.526)	Prec@5 78.125 (75.116)
Epoch: [43][12780/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 2.2094 (2.2047)	Prec@1 43.750 (44.527)	Prec@5 76.562 (75.117)
Epoch: [43][12790/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 2.0476 (2.2046)	Prec@1 47.656 (44.528)	Prec@5 82.812 (75.117)
Epoch: [43][12800/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 2.4490 (2.2046)	Prec@1 37.500 (44.528)	Prec@5 66.406 (75.117)
Epoch: [43][12810/14090]	Time 0.871 (0.767)	Data 0.001 (0.001)	Loss 2.1242 (2.2046)	Prec@1 51.562 (44.529)	Prec@5 75.000 (75.117)
Epoch: [43][12820/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 2.1668 (2.2046)	Prec@1 54.688 (44.530)	Prec@5 78.906 (75.118)
Epoch: [43][12830/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 1.8372 (2.2046)	Prec@1 49.219 (44.531)	Prec@5 85.156 (75.120)
Epoch: [43][12840/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 2.1776 (2.2045)	Prec@1 42.188 (44.533)	Prec@5 71.875 (75.121)
Epoch: [43][12850/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 1.9639 (2.2045)	Prec@1 52.344 (44.533)	Prec@5 78.125 (75.121)
Epoch: [43][12860/14090]	Time 0.763 (0.767)	Data 0.001 (0.001)	Loss 2.2741 (2.2045)	Prec@1 42.188 (44.533)	Prec@5 73.438 (75.121)
Epoch: [43][12870/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.3755 (2.2046)	Prec@1 39.062 (44.532)	Prec@5 76.562 (75.120)
Epoch: [43][12880/14090]	Time 0.881 (0.767)	Data 0.001 (0.001)	Loss 2.1698 (2.2045)	Prec@1 52.344 (44.535)	Prec@5 74.219 (75.120)
Epoch: [43][12890/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.2621 (2.2045)	Prec@1 41.406 (44.535)	Prec@5 75.781 (75.119)
Epoch: [43][12900/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 1.9846 (2.2045)	Prec@1 46.094 (44.535)	Prec@5 81.250 (75.121)
Epoch: [43][12910/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 2.1215 (2.2045)	Prec@1 46.094 (44.533)	Prec@5 80.469 (75.120)
Epoch: [43][12920/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 2.2261 (2.2045)	Prec@1 44.531 (44.533)	Prec@5 73.438 (75.120)
Epoch: [43][12930/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 2.3107 (2.2045)	Prec@1 42.969 (44.533)	Prec@5 67.188 (75.119)
Epoch: [43][12940/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 2.2918 (2.2046)	Prec@1 50.000 (44.533)	Prec@5 72.656 (75.118)
Epoch: [43][12950/14090]	Time 0.875 (0.767)	Data 0.001 (0.001)	Loss 2.0688 (2.2046)	Prec@1 50.781 (44.533)	Prec@5 78.125 (75.118)
Epoch: [43][12960/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 2.1948 (2.2047)	Prec@1 40.625 (44.531)	Prec@5 75.781 (75.117)
Epoch: [43][12970/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 2.0341 (2.2046)	Prec@1 50.781 (44.533)	Prec@5 79.688 (75.118)
Epoch: [43][12980/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 2.1052 (2.2047)	Prec@1 45.312 (44.532)	Prec@5 78.906 (75.118)
Epoch: [43][12990/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 2.2065 (2.2046)	Prec@1 42.188 (44.532)	Prec@5 73.438 (75.118)
Epoch: [43][13000/14090]	Time 0.765 (0.767)	Data 0.001 (0.001)	Loss 2.0618 (2.2046)	Prec@1 48.438 (44.533)	Prec@5 78.125 (75.118)
Epoch: [43][13010/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 2.5611 (2.2047)	Prec@1 37.500 (44.532)	Prec@5 68.750 (75.117)
Epoch: [43][13020/14090]	Time 0.871 (0.767)	Data 0.001 (0.001)	Loss 2.4576 (2.2048)	Prec@1 39.844 (44.530)	Prec@5 71.875 (75.115)
Epoch: [43][13030/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 2.5772 (2.2048)	Prec@1 39.844 (44.530)	Prec@5 70.312 (75.115)
Epoch: [43][13040/14090]	Time 0.782 (0.767)	Data 0.001 (0.001)	Loss 2.2622 (2.2048)	Prec@1 40.625 (44.531)	Prec@5 72.656 (75.114)
Epoch: [43][13050/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.3888 (2.2049)	Prec@1 40.625 (44.528)	Prec@5 70.312 (75.113)
Epoch: [43][13060/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 2.0685 (2.2048)	Prec@1 45.312 (44.529)	Prec@5 79.688 (75.113)
Epoch: [43][13070/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 2.0642 (2.2049)	Prec@1 44.531 (44.528)	Prec@5 77.344 (75.113)
Epoch: [43][13080/14090]	Time 0.770 (0.767)	Data 0.001 (0.001)	Loss 2.5606 (2.2048)	Prec@1 36.719 (44.527)	Prec@5 71.875 (75.114)
Epoch: [43][13090/14090]	Time 0.879 (0.767)	Data 0.001 (0.001)	Loss 2.5918 (2.2049)	Prec@1 43.750 (44.526)	Prec@5 65.625 (75.114)
Epoch: [43][13100/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 2.0968 (2.2048)	Prec@1 44.531 (44.529)	Prec@5 72.656 (75.115)
Epoch: [43][13110/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.2894 (2.2048)	Prec@1 38.281 (44.530)	Prec@5 72.656 (75.114)
Epoch: [43][13120/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 2.2776 (2.2049)	Prec@1 45.312 (44.528)	Prec@5 72.656 (75.112)
Epoch: [43][13130/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 2.1895 (2.2049)	Prec@1 47.656 (44.528)	Prec@5 73.438 (75.112)
Epoch: [43][13140/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 1.9684 (2.2050)	Prec@1 52.344 (44.526)	Prec@5 77.344 (75.112)
Epoch: [43][13150/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 1.9457 (2.2050)	Prec@1 47.656 (44.525)	Prec@5 84.375 (75.111)
Epoch: [43][13160/14090]	Time 0.883 (0.767)	Data 0.001 (0.001)	Loss 2.2400 (2.2050)	Prec@1 42.188 (44.524)	Prec@5 71.094 (75.110)
Epoch: [43][13170/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.0394 (2.2050)	Prec@1 50.781 (44.523)	Prec@5 76.562 (75.112)
Epoch: [43][13180/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 2.2687 (2.2051)	Prec@1 43.750 (44.522)	Prec@5 79.688 (75.112)
Epoch: [43][13190/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 2.1203 (2.2051)	Prec@1 52.344 (44.521)	Prec@5 77.344 (75.112)
Epoch: [43][13200/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 2.4259 (2.2051)	Prec@1 41.406 (44.524)	Prec@5 66.406 (75.113)
Epoch: [43][13210/14090]	Time 0.764 (0.767)	Data 0.001 (0.001)	Loss 2.3946 (2.2051)	Prec@1 41.406 (44.523)	Prec@5 75.000 (75.114)
Epoch: [43][13220/14090]	Time 0.786 (0.767)	Data 0.001 (0.001)	Loss 2.3219 (2.2051)	Prec@1 40.625 (44.522)	Prec@5 77.344 (75.113)
Epoch: [43][13230/14090]	Time 0.882 (0.767)	Data 0.001 (0.001)	Loss 2.3548 (2.2050)	Prec@1 42.188 (44.523)	Prec@5 71.875 (75.115)
Epoch: [43][13240/14090]	Time 0.777 (0.767)	Data 0.001 (0.001)	Loss 2.0781 (2.2050)	Prec@1 47.656 (44.523)	Prec@5 75.000 (75.115)
Epoch: [43][13250/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 2.6619 (2.2051)	Prec@1 39.062 (44.522)	Prec@5 67.969 (75.114)
Epoch: [43][13260/14090]	Time 0.783 (0.767)	Data 0.001 (0.001)	Loss 2.4390 (2.2052)	Prec@1 41.406 (44.521)	Prec@5 72.656 (75.114)
Epoch: [43][13270/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 2.1976 (2.2051)	Prec@1 48.438 (44.521)	Prec@5 75.000 (75.114)
Epoch: [43][13280/14090]	Time 0.770 (0.767)	Data 0.002 (0.001)	Loss 2.4349 (2.2052)	Prec@1 39.062 (44.520)	Prec@5 73.438 (75.112)
Epoch: [43][13290/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 2.4900 (2.2052)	Prec@1 38.281 (44.519)	Prec@5 70.312 (75.113)
Epoch: [43][13300/14090]	Time 0.854 (0.767)	Data 0.001 (0.001)	Loss 2.3910 (2.2052)	Prec@1 48.438 (44.520)	Prec@5 75.000 (75.112)
Epoch: [43][13310/14090]	Time 0.780 (0.767)	Data 0.001 (0.001)	Loss 2.0147 (2.2052)	Prec@1 50.000 (44.521)	Prec@5 75.781 (75.114)
Epoch: [43][13320/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 2.4842 (2.2052)	Prec@1 39.844 (44.523)	Prec@5 69.531 (75.113)
Epoch: [43][13330/14090]	Time 0.771 (0.767)	Data 0.001 (0.001)	Loss 2.2829 (2.2052)	Prec@1 42.188 (44.521)	Prec@5 73.438 (75.114)
Epoch: [43][13340/14090]	Time 0.769 (0.767)	Data 0.001 (0.001)	Loss 1.8860 (2.2052)	Prec@1 49.219 (44.522)	Prec@5 81.250 (75.115)
Epoch: [43][13350/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 1.9076 (2.2052)	Prec@1 50.000 (44.522)	Prec@5 80.469 (75.115)
Epoch: [43][13360/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 1.8967 (2.2052)	Prec@1 52.344 (44.522)	Prec@5 78.125 (75.115)
Epoch: [43][13370/14090]	Time 0.885 (0.767)	Data 0.001 (0.001)	Loss 2.2319 (2.2052)	Prec@1 43.750 (44.522)	Prec@5 75.000 (75.114)
Epoch: [43][13380/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 2.4034 (2.2052)	Prec@1 40.625 (44.522)	Prec@5 69.531 (75.113)
Epoch: [43][13390/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.3696 (2.2053)	Prec@1 41.406 (44.521)	Prec@5 75.781 (75.112)
Epoch: [43][13400/14090]	Time 0.776 (0.767)	Data 0.001 (0.001)	Loss 2.5120 (2.2052)	Prec@1 39.062 (44.522)	Prec@5 70.312 (75.113)
Epoch: [43][13410/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 2.1541 (2.2052)	Prec@1 42.188 (44.522)	Prec@5 77.344 (75.112)
Epoch: [43][13420/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 2.0625 (2.2053)	Prec@1 42.188 (44.522)	Prec@5 77.344 (75.112)
Epoch: [43][13430/14090]	Time 0.776 (0.767)	Data 0.001 (0.001)	Loss 2.1234 (2.2053)	Prec@1 46.875 (44.522)	Prec@5 75.781 (75.111)
Epoch: [43][13440/14090]	Time 0.910 (0.767)	Data 0.001 (0.001)	Loss 1.9391 (2.2053)	Prec@1 50.781 (44.523)	Prec@5 82.031 (75.112)
Epoch: [43][13450/14090]	Time 0.722 (0.767)	Data 0.001 (0.001)	Loss 2.0958 (2.2053)	Prec@1 42.188 (44.524)	Prec@5 78.906 (75.113)
Epoch: [43][13460/14090]	Time 0.775 (0.767)	Data 0.001 (0.001)	Loss 2.3343 (2.2052)	Prec@1 41.406 (44.524)	Prec@5 72.656 (75.114)
Epoch: [43][13470/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 2.4985 (2.2053)	Prec@1 35.938 (44.522)	Prec@5 69.531 (75.112)
Epoch: [43][13480/14090]	Time 0.774 (0.767)	Data 0.001 (0.001)	Loss 1.9921 (2.2053)	Prec@1 48.438 (44.522)	Prec@5 77.344 (75.112)
Epoch: [43][13490/14090]	Time 0.783 (0.767)	Data 0.001 (0.001)	Loss 2.3995 (2.2054)	Prec@1 42.969 (44.521)	Prec@5 74.219 (75.113)
Epoch: [43][13500/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 1.8316 (2.2054)	Prec@1 55.469 (44.520)	Prec@5 85.156 (75.112)
Epoch: [43][13510/14090]	Time 0.921 (0.767)	Data 0.001 (0.001)	Loss 2.3198 (2.2054)	Prec@1 45.312 (44.520)	Prec@5 74.219 (75.112)
Epoch: [43][13520/14090]	Time 0.723 (0.767)	Data 0.001 (0.001)	Loss 2.4488 (2.2054)	Prec@1 42.188 (44.520)	Prec@5 66.406 (75.111)
Epoch: [43][13530/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 1.9797 (2.2054)	Prec@1 42.188 (44.520)	Prec@5 79.688 (75.111)
Epoch: [43][13540/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 2.0539 (2.2054)	Prec@1 53.906 (44.519)	Prec@5 76.562 (75.111)
Epoch: [43][13550/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 2.3461 (2.2055)	Prec@1 42.188 (44.519)	Prec@5 70.312 (75.111)
Epoch: [43][13560/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 2.1608 (2.2055)	Prec@1 42.188 (44.518)	Prec@5 75.781 (75.110)
Epoch: [43][13570/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 2.2081 (2.2055)	Prec@1 40.625 (44.517)	Prec@5 78.125 (75.111)
Epoch: [43][13580/14090]	Time 0.886 (0.767)	Data 0.001 (0.001)	Loss 2.2392 (2.2055)	Prec@1 42.188 (44.516)	Prec@5 69.531 (75.108)
Epoch: [43][13590/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 2.2889 (2.2055)	Prec@1 45.312 (44.518)	Prec@5 75.000 (75.108)
Epoch: [43][13600/14090]	Time 0.726 (0.767)	Data 0.001 (0.001)	Loss 2.2325 (2.2056)	Prec@1 41.406 (44.516)	Prec@5 74.219 (75.107)
Epoch: [43][13610/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 2.5684 (2.2057)	Prec@1 36.719 (44.513)	Prec@5 67.188 (75.105)
Epoch: [43][13620/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 1.8744 (2.2057)	Prec@1 50.781 (44.512)	Prec@5 80.469 (75.105)
Epoch: [43][13630/14090]	Time 0.727 (0.767)	Data 0.001 (0.001)	Loss 2.2349 (2.2057)	Prec@1 46.094 (44.512)	Prec@5 74.219 (75.105)
Epoch: [43][13640/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 1.9791 (2.2058)	Prec@1 42.969 (44.511)	Prec@5 80.469 (75.104)
Epoch: [43][13650/14090]	Time 0.865 (0.767)	Data 0.001 (0.001)	Loss 2.4885 (2.2057)	Prec@1 38.281 (44.512)	Prec@5 68.750 (75.105)
Epoch: [43][13660/14090]	Time 0.727 (0.767)	Data 0.001 (0.001)	Loss 2.3773 (2.2058)	Prec@1 42.188 (44.512)	Prec@5 69.531 (75.104)
Epoch: [43][13670/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 2.0118 (2.2058)	Prec@1 53.906 (44.513)	Prec@5 80.469 (75.103)
Epoch: [43][13680/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 1.9883 (2.2058)	Prec@1 50.000 (44.512)	Prec@5 84.375 (75.104)
Epoch: [43][13690/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 1.9857 (2.2057)	Prec@1 47.656 (44.515)	Prec@5 77.344 (75.105)
Epoch: [43][13700/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 2.1889 (2.2057)	Prec@1 40.625 (44.515)	Prec@5 74.219 (75.105)
Epoch: [43][13710/14090]	Time 0.725 (0.767)	Data 0.001 (0.001)	Loss 2.1259 (2.2057)	Prec@1 43.750 (44.514)	Prec@5 78.906 (75.106)
Epoch: [43][13720/14090]	Time 0.907 (0.767)	Data 0.001 (0.001)	Loss 2.0757 (2.2057)	Prec@1 50.000 (44.514)	Prec@5 80.469 (75.105)
Epoch: [43][13730/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 2.0810 (2.2057)	Prec@1 47.656 (44.515)	Prec@5 77.344 (75.107)
Epoch: [43][13740/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 2.4421 (2.2056)	Prec@1 40.625 (44.515)	Prec@5 68.750 (75.107)
Epoch: [43][13750/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 1.9785 (2.2056)	Prec@1 47.656 (44.514)	Prec@5 82.031 (75.108)
Epoch: [43][13760/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 2.2008 (2.2056)	Prec@1 38.281 (44.513)	Prec@5 77.344 (75.108)
Epoch: [43][13770/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 2.4986 (2.2056)	Prec@1 40.625 (44.512)	Prec@5 65.625 (75.107)
Epoch: [43][13780/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 2.0654 (2.2056)	Prec@1 48.438 (44.513)	Prec@5 76.562 (75.109)
Epoch: [43][13790/14090]	Time 0.848 (0.767)	Data 0.001 (0.001)	Loss 2.4756 (2.2056)	Prec@1 35.938 (44.513)	Prec@5 71.094 (75.108)
Epoch: [43][13800/14090]	Time 0.724 (0.767)	Data 0.001 (0.001)	Loss 2.0436 (2.2056)	Prec@1 48.438 (44.513)	Prec@5 78.125 (75.108)
Epoch: [43][13810/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 2.2432 (2.2056)	Prec@1 42.188 (44.513)	Prec@5 74.219 (75.107)
Epoch: [43][13820/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 2.1996 (2.2057)	Prec@1 39.062 (44.512)	Prec@5 80.469 (75.107)
Epoch: [43][13830/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 2.0420 (2.2056)	Prec@1 50.781 (44.513)	Prec@5 77.344 (75.107)
Epoch: [43][13840/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 2.1681 (2.2056)	Prec@1 45.312 (44.513)	Prec@5 80.469 (75.107)
Epoch: [43][13850/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 2.2508 (2.2056)	Prec@1 39.062 (44.512)	Prec@5 77.344 (75.107)
Epoch: [43][13860/14090]	Time 0.847 (0.767)	Data 0.001 (0.001)	Loss 2.3483 (2.2057)	Prec@1 45.312 (44.511)	Prec@5 75.000 (75.106)
Epoch: [43][13870/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 2.2709 (2.2056)	Prec@1 45.312 (44.512)	Prec@5 71.875 (75.106)
Epoch: [43][13880/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 2.2782 (2.2057)	Prec@1 41.406 (44.511)	Prec@5 74.219 (75.106)
Epoch: [43][13890/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.4674 (2.2056)	Prec@1 37.500 (44.510)	Prec@5 72.656 (75.107)
Epoch: [43][13900/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 2.2254 (2.2057)	Prec@1 44.531 (44.510)	Prec@5 71.875 (75.107)
Epoch: [43][13910/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.2528 (2.2057)	Prec@1 41.406 (44.509)	Prec@5 73.438 (75.106)
Epoch: [43][13920/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 2.4207 (2.2057)	Prec@1 35.938 (44.509)	Prec@5 72.656 (75.104)
Epoch: [43][13930/14090]	Time 0.873 (0.767)	Data 0.001 (0.001)	Loss 2.3538 (2.2058)	Prec@1 42.188 (44.507)	Prec@5 73.438 (75.102)
Epoch: [43][13940/14090]	Time 0.766 (0.767)	Data 0.001 (0.001)	Loss 2.2169 (2.2057)	Prec@1 41.406 (44.507)	Prec@5 78.906 (75.104)
Epoch: [43][13950/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 1.9580 (2.2057)	Prec@1 46.094 (44.507)	Prec@5 79.688 (75.104)
Epoch: [43][13960/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 2.2113 (2.2057)	Prec@1 42.969 (44.506)	Prec@5 75.781 (75.105)
Epoch: [43][13970/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.4303 (2.2057)	Prec@1 39.844 (44.505)	Prec@5 68.750 (75.104)
Epoch: [43][13980/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 2.0594 (2.2057)	Prec@1 47.656 (44.506)	Prec@5 78.125 (75.105)
Epoch: [43][13990/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 2.1439 (2.2057)	Prec@1 50.781 (44.506)	Prec@5 78.906 (75.104)
Epoch: [43][14000/14090]	Time 0.870 (0.767)	Data 0.001 (0.001)	Loss 2.2335 (2.2057)	Prec@1 45.312 (44.506)	Prec@5 73.438 (75.103)
Epoch: [43][14010/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 1.9091 (2.2056)	Prec@1 49.219 (44.508)	Prec@5 81.250 (75.106)
Epoch: [43][14020/14090]	Time 0.806 (0.767)	Data 0.001 (0.001)	Loss 2.2619 (2.2056)	Prec@1 39.844 (44.509)	Prec@5 78.125 (75.106)
Epoch: [43][14030/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 2.0003 (2.2055)	Prec@1 42.969 (44.511)	Prec@5 76.562 (75.108)
Epoch: [43][14040/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 2.1263 (2.2055)	Prec@1 47.656 (44.513)	Prec@5 76.562 (75.107)
Epoch: [43][14050/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 2.3303 (2.2056)	Prec@1 39.844 (44.513)	Prec@5 71.875 (75.105)
Epoch: [43][14060/14090]	Time 0.721 (0.767)	Data 0.001 (0.001)	Loss 2.2752 (2.2056)	Prec@1 45.312 (44.513)	Prec@5 68.750 (75.104)
Epoch: [43][14070/14090]	Time 0.887 (0.767)	Data 0.001 (0.001)	Loss 2.2114 (2.2056)	Prec@1 44.531 (44.514)	Prec@5 72.656 (75.105)
Epoch: [43][14080/14090]	Time 0.730 (0.767)	Data 0.000 (0.001)	Loss 2.4666 (2.2056)	Prec@1 43.750 (44.513)	Prec@5 75.781 (75.104)
Test: [0/286]	Time 4.159 (4.159)	Loss 1.6896 (1.6896)	Prec@1 49.219 (49.219)	Prec@5 92.969 (92.969)
Test: [10/286]	Time 0.291 (0.736)	Loss 2.0259 (2.0528)	Prec@1 49.219 (47.372)	Prec@5 82.812 (81.889)
Test: [20/286]	Time 0.227 (0.562)	Loss 1.7704 (1.9663)	Prec@1 53.906 (49.554)	Prec@5 85.938 (81.696)
Test: [30/286]	Time 0.229 (0.496)	Loss 1.8736 (1.8615)	Prec@1 54.688 (52.394)	Prec@5 83.594 (82.661)
Test: [40/286]	Time 1.350 (0.496)	Loss 1.8222 (1.8563)	Prec@1 51.562 (51.905)	Prec@5 84.375 (82.793)
Test: [50/286]	Time 0.258 (0.473)	Loss 0.6399 (1.8398)	Prec@1 87.500 (52.436)	Prec@5 93.750 (83.241)
Test: [60/286]	Time 0.252 (0.458)	Loss 2.6667 (1.8480)	Prec@1 42.188 (52.293)	Prec@5 66.406 (82.569)
Test: [70/286]	Time 0.233 (0.445)	Loss 1.5042 (1.8210)	Prec@1 64.844 (52.751)	Prec@5 89.062 (82.934)
Test: [80/286]	Time 1.411 (0.451)	Loss 2.0697 (1.8571)	Prec@1 43.750 (51.437)	Prec@5 76.562 (82.485)
Test: [90/286]	Time 0.237 (0.443)	Loss 1.7995 (1.8647)	Prec@1 54.688 (51.279)	Prec@5 85.156 (82.461)
Test: [100/286]	Time 0.257 (0.436)	Loss 2.6708 (1.8769)	Prec@1 23.438 (50.634)	Prec@5 76.562 (82.503)
Test: [110/286]	Time 0.228 (0.432)	Loss 2.3947 (1.8945)	Prec@1 40.625 (50.148)	Prec@5 71.875 (82.348)
Test: [120/286]	Time 1.339 (0.435)	Loss 1.6122 (1.8782)	Prec@1 64.844 (50.710)	Prec@5 82.031 (82.490)
Test: [130/286]	Time 0.288 (0.430)	Loss 1.0930 (1.8699)	Prec@1 69.531 (50.984)	Prec@5 92.188 (82.461)
Test: [140/286]	Time 0.231 (0.426)	Loss 2.3967 (1.8696)	Prec@1 40.625 (51.008)	Prec@5 71.875 (82.336)
Test: [150/286]	Time 0.380 (0.424)	Loss 3.0459 (1.8823)	Prec@1 21.094 (50.512)	Prec@5 67.969 (82.238)
Test: [160/286]	Time 0.944 (0.426)	Loss 3.0005 (1.8777)	Prec@1 18.750 (50.650)	Prec@5 61.719 (82.284)
Test: [170/286]	Time 0.300 (0.426)	Loss 2.0336 (1.8747)	Prec@1 40.625 (50.772)	Prec@5 78.125 (82.315)
Test: [180/286]	Time 0.267 (0.423)	Loss 1.7502 (1.8854)	Prec@1 60.156 (50.565)	Prec@5 79.688 (82.195)
Test: [190/286]	Time 0.407 (0.422)	Loss 3.3145 (1.9051)	Prec@1 13.281 (50.151)	Prec@5 64.062 (81.954)
Test: [200/286]	Time 0.320 (0.420)	Loss 2.2120 (1.8988)	Prec@1 47.656 (50.420)	Prec@5 81.250 (82.000)
Test: [210/286]	Time 0.290 (0.423)	Loss 1.9234 (1.9021)	Prec@1 49.219 (50.270)	Prec@5 84.375 (81.961)
Test: [220/286]	Time 0.261 (0.421)	Loss 2.8344 (1.9080)	Prec@1 19.531 (50.145)	Prec@5 64.844 (81.823)
Test: [230/286]	Time 0.230 (0.419)	Loss 1.4688 (1.9021)	Prec@1 61.719 (50.298)	Prec@5 82.812 (81.876)
Test: [240/286]	Time 0.284 (0.420)	Loss 1.6561 (1.8975)	Prec@1 60.156 (50.470)	Prec@5 87.500 (81.966)
Test: [250/286]	Time 0.282 (0.421)	Loss 1.7402 (1.8904)	Prec@1 48.438 (50.461)	Prec@5 85.156 (82.153)
Test: [260/286]	Time 0.236 (0.419)	Loss 2.1950 (1.8824)	Prec@1 45.312 (50.662)	Prec@5 80.469 (82.313)
Test: [270/286]	Time 0.295 (0.418)	Loss 1.5611 (1.8864)	Prec@1 62.500 (50.614)	Prec@5 85.156 (82.308)
Test: [280/286]	Time 0.456 (0.418)	Loss 2.2281 (1.8708)	Prec@1 45.312 (51.115)	Prec@5 84.375 (82.471)
 * Prec@1 51.251 Prec@5 82.488
Epoch: [44][0/14090]	Time 6.042 (6.042)	Data 5.245 (5.245)	Loss 2.3696 (2.3696)	Prec@1 42.969 (42.969)	Prec@5 70.312 (70.312)
Epoch: [44][10/14090]	Time 0.719 (1.219)	Data 0.001 (0.477)	Loss 1.9131 (2.1574)	Prec@1 57.031 (45.384)	Prec@5 80.469 (75.710)
Epoch: [44][20/14090]	Time 0.722 (0.996)	Data 0.001 (0.250)	Loss 2.2141 (2.1946)	Prec@1 40.625 (43.378)	Prec@5 74.219 (75.632)
Epoch: [44][30/14090]	Time 0.752 (0.918)	Data 0.001 (0.170)	Loss 1.9926 (2.2256)	Prec@1 50.000 (43.322)	Prec@5 77.344 (75.050)
Epoch: [44][40/14090]	Time 0.913 (0.882)	Data 0.001 (0.129)	Loss 2.1458 (2.2032)	Prec@1 51.562 (44.226)	Prec@5 82.031 (75.438)
Epoch: [44][50/14090]	Time 0.762 (0.859)	Data 0.001 (0.104)	Loss 2.0717 (2.2033)	Prec@1 41.406 (44.041)	Prec@5 77.344 (75.490)
Epoch: [44][60/14090]	Time 0.755 (0.842)	Data 0.001 (0.087)	Loss 2.3762 (2.1986)	Prec@1 45.312 (44.237)	Prec@5 69.531 (75.589)
Epoch: [44][70/14090]	Time 0.737 (0.833)	Data 0.001 (0.075)	Loss 1.8328 (2.1985)	Prec@1 51.562 (44.421)	Prec@5 78.906 (75.220)
Epoch: [44][80/14090]	Time 0.756 (0.823)	Data 0.001 (0.066)	Loss 2.2449 (2.2087)	Prec@1 49.219 (44.261)	Prec@5 74.219 (75.087)
Epoch: [44][90/14090]	Time 0.751 (0.818)	Data 0.001 (0.058)	Loss 2.1288 (2.2068)	Prec@1 49.219 (44.497)	Prec@5 75.781 (75.155)
Epoch: [44][100/14090]	Time 0.735 (0.812)	Data 0.001 (0.053)	Loss 2.2234 (2.1990)	Prec@1 40.625 (44.570)	Prec@5 71.875 (75.201)
Epoch: [44][110/14090]	Time 0.884 (0.809)	Data 0.001 (0.048)	Loss 2.2667 (2.1986)	Prec@1 46.875 (44.468)	Prec@5 71.875 (75.134)
Epoch: [44][120/14090]	Time 0.755 (0.807)	Data 0.001 (0.044)	Loss 2.1863 (2.1949)	Prec@1 43.750 (44.505)	Prec@5 77.344 (75.239)
Epoch: [44][130/14090]	Time 0.720 (0.803)	Data 0.001 (0.041)	Loss 2.3524 (2.1985)	Prec@1 38.281 (44.525)	Prec@5 73.438 (75.221)
Epoch: [44][140/14090]	Time 0.766 (0.802)	Data 0.001 (0.038)	Loss 2.2281 (2.2042)	Prec@1 42.188 (44.359)	Prec@5 73.438 (75.111)
Epoch: [44][150/14090]	Time 0.724 (0.799)	Data 0.001 (0.036)	Loss 2.4231 (2.2051)	Prec@1 39.062 (44.319)	Prec@5 71.875 (75.103)
Epoch: [44][160/14090]	Time 0.764 (0.798)	Data 0.001 (0.033)	Loss 2.1365 (2.2105)	Prec@1 46.875 (44.196)	Prec@5 75.000 (74.937)
Epoch: [44][170/14090]	Time 0.749 (0.796)	Data 0.001 (0.032)	Loss 1.8624 (2.2051)	Prec@1 57.812 (44.394)	Prec@5 82.031 (75.014)
Epoch: [44][180/14090]	Time 0.901 (0.795)	Data 0.001 (0.030)	Loss 2.2402 (2.1995)	Prec@1 38.281 (44.475)	Prec@5 71.875 (75.125)
Epoch: [44][190/14090]	Time 0.769 (0.794)	Data 0.001 (0.028)	Loss 2.2540 (2.1990)	Prec@1 42.969 (44.494)	Prec@5 77.344 (75.131)
Epoch: [44][200/14090]	Time 0.731 (0.792)	Data 0.001 (0.027)	Loss 2.3453 (2.1973)	Prec@1 47.656 (44.539)	Prec@5 71.094 (75.163)
Epoch: [44][210/14090]	Time 0.777 (0.791)	Data 0.001 (0.026)	Loss 1.9687 (2.1963)	Prec@1 52.344 (44.631)	Prec@5 76.562 (75.141)
Epoch: [44][220/14090]	Time 0.721 (0.790)	Data 0.001 (0.025)	Loss 1.9514 (2.1949)	Prec@1 53.125 (44.708)	Prec@5 80.469 (75.156)
Epoch: [44][230/14090]	Time 0.767 (0.790)	Data 0.001 (0.024)	Loss 2.4359 (2.1968)	Prec@1 38.281 (44.656)	Prec@5 74.219 (75.125)
Epoch: [44][240/14090]	Time 0.729 (0.789)	Data 0.001 (0.023)	Loss 2.3720 (2.1947)	Prec@1 42.188 (44.719)	Prec@5 75.000 (75.185)
Epoch: [44][250/14090]	Time 0.890 (0.789)	Data 0.001 (0.022)	Loss 1.7972 (2.1943)	Prec@1 52.344 (44.693)	Prec@5 78.906 (75.190)
Epoch: [44][260/14090]	Time 0.725 (0.788)	Data 0.001 (0.021)	Loss 2.0042 (2.1884)	Prec@1 53.125 (44.875)	Prec@5 76.562 (75.269)
Epoch: [44][270/14090]	Time 0.750 (0.787)	Data 0.001 (0.020)	Loss 1.9876 (2.1857)	Prec@1 50.781 (44.883)	Prec@5 80.469 (75.314)
Epoch: [44][280/14090]	Time 0.761 (0.787)	Data 0.001 (0.020)	Loss 1.8994 (2.1857)	Prec@1 53.906 (44.898)	Prec@5 80.469 (75.323)
Epoch: [44][290/14090]	Time 0.724 (0.787)	Data 0.001 (0.019)	Loss 2.3245 (2.1854)	Prec@1 39.844 (44.878)	Prec@5 71.875 (75.373)
Epoch: [44][300/14090]	Time 0.741 (0.786)	Data 0.001 (0.018)	Loss 1.9808 (2.1850)	Prec@1 46.094 (44.879)	Prec@5 78.906 (75.415)
Epoch: [44][310/14090]	Time 0.732 (0.786)	Data 0.001 (0.018)	Loss 2.3894 (2.1846)	Prec@1 44.531 (44.870)	Prec@5 72.656 (75.482)
Epoch: [44][320/14090]	Time 0.844 (0.786)	Data 0.001 (0.017)	Loss 2.2663 (2.1858)	Prec@1 39.062 (44.806)	Prec@5 69.531 (75.448)
Epoch: [44][330/14090]	Time 0.727 (0.785)	Data 0.001 (0.017)	Loss 2.2771 (2.1870)	Prec@1 45.312 (44.781)	Prec@5 78.125 (75.420)
Epoch: [44][340/14090]	Time 0.729 (0.785)	Data 0.001 (0.016)	Loss 2.2370 (2.1882)	Prec@1 47.656 (44.753)	Prec@5 77.344 (75.456)
Epoch: [44][350/14090]	Time 0.760 (0.784)	Data 0.001 (0.016)	Loss 2.1171 (2.1854)	Prec@1 42.188 (44.754)	Prec@5 79.688 (75.487)
Epoch: [44][360/14090]	Time 0.728 (0.784)	Data 0.001 (0.015)	Loss 2.3608 (2.1867)	Prec@1 42.188 (44.743)	Prec@5 72.656 (75.439)
Epoch: [44][370/14090]	Time 0.756 (0.784)	Data 0.001 (0.015)	Loss 2.4352 (2.1866)	Prec@1 44.531 (44.763)	Prec@5 67.969 (75.453)
Epoch: [44][380/14090]	Time 0.730 (0.783)	Data 0.001 (0.015)	Loss 2.1204 (2.1844)	Prec@1 47.656 (44.796)	Prec@5 74.219 (75.492)
Epoch: [44][390/14090]	Time 0.894 (0.783)	Data 0.001 (0.014)	Loss 2.1488 (2.1810)	Prec@1 46.094 (44.873)	Prec@5 77.344 (75.559)
Epoch: [44][400/14090]	Time 0.742 (0.783)	Data 0.001 (0.014)	Loss 2.4072 (2.1840)	Prec@1 43.750 (44.814)	Prec@5 71.875 (75.522)
Epoch: [44][410/14090]	Time 0.773 (0.782)	Data 0.001 (0.014)	Loss 1.9444 (2.1843)	Prec@1 51.562 (44.816)	Prec@5 75.781 (75.511)
Epoch: [44][420/14090]	Time 0.759 (0.782)	Data 0.001 (0.013)	Loss 1.9009 (2.1819)	Prec@1 45.312 (44.860)	Prec@5 79.688 (75.551)
Epoch: [44][430/14090]	Time 0.734 (0.782)	Data 0.001 (0.013)	Loss 2.0238 (2.1811)	Prec@1 46.875 (44.845)	Prec@5 78.125 (75.589)
Epoch: [44][440/14090]	Time 0.733 (0.782)	Data 0.001 (0.013)	Loss 1.9694 (2.1787)	Prec@1 50.781 (44.845)	Prec@5 77.344 (75.659)
Epoch: [44][450/14090]	Time 0.767 (0.782)	Data 0.001 (0.013)	Loss 2.1346 (2.1798)	Prec@1 39.844 (44.845)	Prec@5 76.562 (75.618)
Epoch: [44][460/14090]	Time 0.962 (0.782)	Data 0.001 (0.012)	Loss 2.1724 (2.1808)	Prec@1 49.219 (44.841)	Prec@5 76.562 (75.610)
Epoch: [44][470/14090]	Time 0.744 (0.781)	Data 0.001 (0.012)	Loss 2.2360 (2.1794)	Prec@1 50.781 (44.851)	Prec@5 71.875 (75.617)
Epoch: [44][480/14090]	Time 0.747 (0.781)	Data 0.001 (0.012)	Loss 2.4429 (2.1802)	Prec@1 35.156 (44.848)	Prec@5 73.438 (75.596)
Epoch: [44][490/14090]	Time 0.760 (0.781)	Data 0.001 (0.012)	Loss 2.3231 (2.1789)	Prec@1 45.312 (44.891)	Prec@5 70.312 (75.622)
Epoch: [44][500/14090]	Time 0.761 (0.780)	Data 0.001 (0.011)	Loss 2.1215 (2.1783)	Prec@1 46.094 (44.935)	Prec@5 73.438 (75.636)
Epoch: [44][510/14090]	Time 0.756 (0.780)	Data 0.001 (0.011)	Loss 2.1145 (2.1784)	Prec@1 46.094 (44.972)	Prec@5 73.438 (75.605)
Epoch: [44][520/14090]	Time 0.776 (0.780)	Data 0.001 (0.011)	Loss 2.0964 (2.1782)	Prec@1 42.188 (44.944)	Prec@5 78.125 (75.637)
Epoch: [44][530/14090]	Time 0.846 (0.780)	Data 0.001 (0.011)	Loss 2.4402 (2.1784)	Prec@1 39.844 (44.970)	Prec@5 75.781 (75.630)
Epoch: [44][540/14090]	Time 0.741 (0.779)	Data 0.001 (0.011)	Loss 2.1504 (2.1800)	Prec@1 46.094 (44.930)	Prec@5 72.656 (75.591)
Epoch: [44][550/14090]	Time 0.759 (0.779)	Data 0.001 (0.010)	Loss 2.1671 (2.1785)	Prec@1 39.062 (44.938)	Prec@5 75.781 (75.597)
Epoch: [44][560/14090]	Time 0.767 (0.779)	Data 0.001 (0.010)	Loss 2.0055 (2.1782)	Prec@1 47.656 (44.956)	Prec@5 80.469 (75.595)
Epoch: [44][570/14090]	Time 0.740 (0.779)	Data 0.001 (0.010)	Loss 2.6205 (2.1796)	Prec@1 38.281 (44.943)	Prec@5 67.188 (75.565)
Epoch: [44][580/14090]	Time 0.743 (0.778)	Data 0.001 (0.010)	Loss 2.2439 (2.1809)	Prec@1 39.844 (44.920)	Prec@5 72.656 (75.514)
Epoch: [44][590/14090]	Time 0.740 (0.778)	Data 0.001 (0.010)	Loss 2.0305 (2.1806)	Prec@1 50.781 (44.928)	Prec@5 80.469 (75.522)
Epoch: [44][600/14090]	Time 0.908 (0.778)	Data 0.001 (0.010)	Loss 2.1390 (2.1794)	Prec@1 46.875 (44.973)	Prec@5 75.000 (75.539)
Epoch: [44][610/14090]	Time 0.747 (0.778)	Data 0.001 (0.009)	Loss 2.3072 (2.1795)	Prec@1 42.188 (44.956)	Prec@5 75.781 (75.546)
Epoch: [44][620/14090]	Time 0.755 (0.778)	Data 0.001 (0.009)	Loss 2.1814 (2.1775)	Prec@1 46.094 (44.988)	Prec@5 75.781 (75.590)
Epoch: [44][630/14090]	Time 0.725 (0.778)	Data 0.001 (0.009)	Loss 2.3314 (2.1785)	Prec@1 43.750 (44.960)	Prec@5 71.875 (75.583)
Epoch: [44][640/14090]	Time 0.757 (0.777)	Data 0.001 (0.009)	Loss 2.4378 (2.1777)	Prec@1 41.406 (44.951)	Prec@5 68.750 (75.598)
Epoch: [44][650/14090]	Time 0.745 (0.777)	Data 0.001 (0.009)	Loss 1.9970 (2.1779)	Prec@1 49.219 (44.921)	Prec@5 81.250 (75.580)
Epoch: [44][660/14090]	Time 0.730 (0.777)	Data 0.001 (0.009)	Loss 2.3670 (2.1779)	Prec@1 36.719 (44.899)	Prec@5 74.219 (75.564)
Epoch: [44][670/14090]	Time 0.826 (0.777)	Data 0.001 (0.009)	Loss 2.3834 (2.1792)	Prec@1 38.281 (44.875)	Prec@5 77.344 (75.544)
Epoch: [44][680/14090]	Time 0.735 (0.777)	Data 0.001 (0.009)	Loss 2.2571 (2.1791)	Prec@1 44.531 (44.870)	Prec@5 76.562 (75.544)
Epoch: [44][690/14090]	Time 0.750 (0.776)	Data 0.001 (0.008)	Loss 2.1745 (2.1785)	Prec@1 43.750 (44.891)	Prec@5 76.562 (75.569)
Epoch: [44][700/14090]	Time 0.743 (0.776)	Data 0.001 (0.008)	Loss 2.2572 (2.1789)	Prec@1 40.625 (44.885)	Prec@5 77.344 (75.571)
Epoch: [44][710/14090]	Time 0.736 (0.776)	Data 0.001 (0.008)	Loss 2.0479 (2.1801)	Prec@1 42.188 (44.837)	Prec@5 78.906 (75.561)
Epoch: [44][720/14090]	Time 0.756 (0.776)	Data 0.001 (0.008)	Loss 2.1658 (2.1802)	Prec@1 45.312 (44.848)	Prec@5 74.219 (75.562)
Epoch: [44][730/14090]	Time 0.738 (0.776)	Data 0.001 (0.008)	Loss 2.0998 (2.1797)	Prec@1 53.125 (44.863)	Prec@5 77.344 (75.570)
Epoch: [44][740/14090]	Time 0.884 (0.776)	Data 0.001 (0.008)	Loss 2.0487 (2.1789)	Prec@1 51.562 (44.880)	Prec@5 78.125 (75.585)
Epoch: [44][750/14090]	Time 0.749 (0.776)	Data 0.001 (0.008)	Loss 2.1702 (2.1784)	Prec@1 45.312 (44.909)	Prec@5 77.344 (75.596)
Epoch: [44][760/14090]	Time 0.752 (0.776)	Data 0.001 (0.008)	Loss 2.1333 (2.1783)	Prec@1 54.688 (44.908)	Prec@5 78.125 (75.604)
Epoch: [44][770/14090]	Time 0.738 (0.776)	Data 0.001 (0.008)	Loss 2.1456 (2.1787)	Prec@1 42.188 (44.903)	Prec@5 77.344 (75.580)
Epoch: [44][780/14090]	Time 0.723 (0.775)	Data 0.001 (0.008)	Loss 2.0524 (2.1778)	Prec@1 49.219 (44.923)	Prec@5 73.438 (75.585)
Epoch: [44][790/14090]	Time 0.754 (0.775)	Data 0.001 (0.007)	Loss 2.2011 (2.1780)	Prec@1 48.438 (44.931)	Prec@5 75.000 (75.584)
Epoch: [44][800/14090]	Time 0.734 (0.775)	Data 0.001 (0.007)	Loss 1.9406 (2.1778)	Prec@1 42.188 (44.918)	Prec@5 84.375 (75.591)
Epoch: [44][810/14090]	Time 0.846 (0.775)	Data 0.001 (0.007)	Loss 1.9902 (2.1777)	Prec@1 46.875 (44.936)	Prec@5 75.781 (75.594)
Epoch: [44][820/14090]	Time 0.736 (0.775)	Data 0.001 (0.007)	Loss 2.1579 (2.1775)	Prec@1 41.406 (44.956)	Prec@5 74.219 (75.602)
Epoch: [44][830/14090]	Time 0.786 (0.775)	Data 0.001 (0.007)	Loss 1.8981 (2.1780)	Prec@1 53.906 (44.974)	Prec@5 78.125 (75.583)
Epoch: [44][840/14090]	Time 0.758 (0.775)	Data 0.001 (0.007)	Loss 2.1784 (2.1785)	Prec@1 42.188 (44.965)	Prec@5 73.438 (75.558)
Epoch: [44][850/14090]	Time 0.726 (0.774)	Data 0.001 (0.007)	Loss 1.8423 (2.1786)	Prec@1 49.219 (44.969)	Prec@5 77.344 (75.538)
Epoch: [44][860/14090]	Time 0.749 (0.774)	Data 0.001 (0.007)	Loss 2.0417 (2.1780)	Prec@1 50.000 (44.979)	Prec@5 79.688 (75.552)
Epoch: [44][870/14090]	Time 0.756 (0.774)	Data 0.001 (0.007)	Loss 1.9245 (2.1782)	Prec@1 50.781 (44.968)	Prec@5 80.469 (75.549)
Epoch: [44][880/14090]	Time 0.859 (0.774)	Data 0.001 (0.007)	Loss 2.3802 (2.1789)	Prec@1 42.188 (44.954)	Prec@5 75.000 (75.552)
Epoch: [44][890/14090]	Time 0.760 (0.774)	Data 0.001 (0.007)	Loss 2.0787 (2.1789)	Prec@1 46.875 (44.944)	Prec@5 78.906 (75.552)
Epoch: [44][900/14090]	Time 0.738 (0.774)	Data 0.001 (0.007)	Loss 2.3506 (2.1794)	Prec@1 42.969 (44.921)	Prec@5 72.656 (75.550)
Epoch: [44][910/14090]	Time 0.733 (0.774)	Data 0.001 (0.007)	Loss 2.0398 (2.1795)	Prec@1 44.531 (44.939)	Prec@5 82.812 (75.541)
Epoch: [44][920/14090]	Time 0.781 (0.774)	Data 0.001 (0.007)	Loss 2.2386 (2.1799)	Prec@1 40.625 (44.939)	Prec@5 72.656 (75.530)
Epoch: [44][930/14090]	Time 0.735 (0.774)	Data 0.001 (0.006)	Loss 1.9859 (2.1804)	Prec@1 50.781 (44.908)	Prec@5 78.906 (75.523)
Epoch: [44][940/14090]	Time 0.747 (0.773)	Data 0.001 (0.006)	Loss 2.0221 (2.1804)	Prec@1 45.312 (44.905)	Prec@5 81.250 (75.516)
Epoch: [44][950/14090]	Time 0.861 (0.773)	Data 0.001 (0.006)	Loss 2.1397 (2.1804)	Prec@1 47.656 (44.919)	Prec@5 75.000 (75.518)
Epoch: [44][960/14090]	Time 0.729 (0.773)	Data 0.001 (0.006)	Loss 2.0821 (2.1809)	Prec@1 49.219 (44.900)	Prec@5 77.344 (75.516)
Epoch: [44][970/14090]	Time 0.751 (0.773)	Data 0.001 (0.006)	Loss 2.1230 (2.1810)	Prec@1 46.094 (44.897)	Prec@5 74.219 (75.507)
Epoch: [44][980/14090]	Time 0.754 (0.773)	Data 0.001 (0.006)	Loss 2.1276 (2.1822)	Prec@1 49.219 (44.872)	Prec@5 78.125 (75.496)
Epoch: [44][990/14090]	Time 0.759 (0.773)	Data 0.001 (0.006)	Loss 2.1884 (2.1822)	Prec@1 49.219 (44.873)	Prec@5 72.656 (75.490)
Epoch: [44][1000/14090]	Time 0.759 (0.773)	Data 0.001 (0.006)	Loss 2.0310 (2.1817)	Prec@1 46.094 (44.877)	Prec@5 78.906 (75.513)
Epoch: [44][1010/14090]	Time 0.784 (0.773)	Data 0.001 (0.006)	Loss 1.9975 (2.1822)	Prec@1 49.219 (44.869)	Prec@5 78.906 (75.507)
Epoch: [44][1020/14090]	Time 0.889 (0.773)	Data 0.001 (0.006)	Loss 2.2095 (2.1826)	Prec@1 50.000 (44.870)	Prec@5 76.562 (75.504)
Epoch: [44][1030/14090]	Time 0.776 (0.773)	Data 0.001 (0.006)	Loss 2.0718 (2.1815)	Prec@1 51.562 (44.900)	Prec@5 77.344 (75.530)
Epoch: [44][1040/14090]	Time 0.734 (0.773)	Data 0.001 (0.006)	Loss 2.4847 (2.1827)	Prec@1 39.844 (44.879)	Prec@5 65.625 (75.490)
Epoch: [44][1050/14090]	Time 0.729 (0.773)	Data 0.001 (0.006)	Loss 2.1771 (2.1818)	Prec@1 37.500 (44.901)	Prec@5 78.906 (75.497)
Epoch: [44][1060/14090]	Time 0.771 (0.773)	Data 0.001 (0.006)	Loss 2.3646 (2.1830)	Prec@1 39.844 (44.886)	Prec@5 78.125 (75.473)
Epoch: [44][1070/14090]	Time 0.731 (0.772)	Data 0.001 (0.006)	Loss 2.0278 (2.1832)	Prec@1 47.656 (44.870)	Prec@5 76.562 (75.471)
Epoch: [44][1080/14090]	Time 0.736 (0.772)	Data 0.001 (0.006)	Loss 1.9322 (2.1832)	Prec@1 51.562 (44.866)	Prec@5 79.688 (75.463)
Epoch: [44][1090/14090]	Time 0.847 (0.772)	Data 0.001 (0.006)	Loss 2.0130 (2.1832)	Prec@1 46.875 (44.871)	Prec@5 78.906 (75.460)
Epoch: [44][1100/14090]	Time 0.761 (0.772)	Data 0.001 (0.006)	Loss 2.2477 (2.1840)	Prec@1 44.531 (44.861)	Prec@5 71.875 (75.456)
Epoch: [44][1110/14090]	Time 0.771 (0.772)	Data 0.001 (0.006)	Loss 2.1211 (2.1846)	Prec@1 44.531 (44.850)	Prec@5 75.000 (75.440)
Epoch: [44][1120/14090]	Time 0.729 (0.772)	Data 0.001 (0.006)	Loss 2.6098 (2.1844)	Prec@1 34.375 (44.848)	Prec@5 67.188 (75.440)
Epoch: [44][1130/14090]	Time 0.732 (0.772)	Data 0.001 (0.005)	Loss 2.1902 (2.1842)	Prec@1 49.219 (44.852)	Prec@5 71.875 (75.438)
Epoch: [44][1140/14090]	Time 0.729 (0.772)	Data 0.001 (0.005)	Loss 2.0931 (2.1846)	Prec@1 50.000 (44.853)	Prec@5 75.000 (75.419)
Epoch: [44][1150/14090]	Time 0.730 (0.772)	Data 0.001 (0.005)	Loss 1.8695 (2.1842)	Prec@1 48.438 (44.849)	Prec@5 78.125 (75.425)
Epoch: [44][1160/14090]	Time 0.950 (0.772)	Data 0.001 (0.005)	Loss 2.3058 (2.1837)	Prec@1 39.844 (44.860)	Prec@5 75.781 (75.448)
Epoch: [44][1170/14090]	Time 0.742 (0.772)	Data 0.001 (0.005)	Loss 2.1308 (2.1838)	Prec@1 47.656 (44.866)	Prec@5 76.562 (75.436)
Epoch: [44][1180/14090]	Time 0.735 (0.772)	Data 0.001 (0.005)	Loss 1.7643 (2.1837)	Prec@1 50.000 (44.865)	Prec@5 84.375 (75.431)
Epoch: [44][1190/14090]	Time 0.732 (0.772)	Data 0.001 (0.005)	Loss 2.1925 (2.1832)	Prec@1 45.312 (44.874)	Prec@5 75.000 (75.433)
Epoch: [44][1200/14090]	Time 0.735 (0.772)	Data 0.001 (0.005)	Loss 2.2154 (2.1835)	Prec@1 44.531 (44.876)	Prec@5 74.219 (75.431)
Epoch: [44][1210/14090]	Time 0.755 (0.772)	Data 0.001 (0.005)	Loss 2.0457 (2.1837)	Prec@1 45.312 (44.874)	Prec@5 76.562 (75.428)
Epoch: [44][1220/14090]	Time 0.743 (0.772)	Data 0.001 (0.005)	Loss 2.1421 (2.1842)	Prec@1 48.438 (44.868)	Prec@5 75.781 (75.420)
Epoch: [44][1230/14090]	Time 0.860 (0.772)	Data 0.001 (0.005)	Loss 2.0666 (2.1831)	Prec@1 46.094 (44.891)	Prec@5 74.219 (75.434)
Epoch: [44][1240/14090]	Time 0.772 (0.772)	Data 0.001 (0.005)	Loss 2.5707 (2.1834)	Prec@1 47.656 (44.883)	Prec@5 65.625 (75.436)
Epoch: [44][1250/14090]	Time 0.774 (0.771)	Data 0.001 (0.005)	Loss 1.9619 (2.1834)	Prec@1 45.312 (44.890)	Prec@5 79.688 (75.430)
Epoch: [44][1260/14090]	Time 0.728 (0.771)	Data 0.001 (0.005)	Loss 2.4982 (2.1844)	Prec@1 39.062 (44.874)	Prec@5 72.656 (75.416)
Epoch: [44][1270/14090]	Time 0.729 (0.771)	Data 0.001 (0.005)	Loss 2.1066 (2.1853)	Prec@1 45.312 (44.859)	Prec@5 81.250 (75.400)
Epoch: [44][1280/14090]	Time 0.756 (0.771)	Data 0.001 (0.005)	Loss 2.1610 (2.1855)	Prec@1 46.094 (44.845)	Prec@5 74.219 (75.392)
Epoch: [44][1290/14090]	Time 0.737 (0.771)	Data 0.001 (0.005)	Loss 2.1509 (2.1855)	Prec@1 47.656 (44.853)	Prec@5 78.125 (75.389)
Epoch: [44][1300/14090]	Time 0.861 (0.771)	Data 0.001 (0.005)	Loss 2.1265 (2.1858)	Prec@1 42.188 (44.834)	Prec@5 71.875 (75.378)
Epoch: [44][1310/14090]	Time 0.742 (0.771)	Data 0.001 (0.005)	Loss 2.1385 (2.1855)	Prec@1 43.750 (44.841)	Prec@5 81.250 (75.390)
Epoch: [44][1320/14090]	Time 0.739 (0.771)	Data 0.001 (0.005)	Loss 2.1411 (2.1853)	Prec@1 43.750 (44.839)	Prec@5 73.438 (75.397)
Epoch: [44][1330/14090]	Time 0.731 (0.771)	Data 0.001 (0.005)	Loss 1.9568 (2.1859)	Prec@1 47.656 (44.834)	Prec@5 80.469 (75.390)
Epoch: [44][1340/14090]	Time 0.757 (0.771)	Data 0.001 (0.005)	Loss 1.9386 (2.1862)	Prec@1 50.781 (44.841)	Prec@5 81.250 (75.382)
Epoch: [44][1350/14090]	Time 0.727 (0.771)	Data 0.001 (0.005)	Loss 1.9655 (2.1863)	Prec@1 52.344 (44.843)	Prec@5 80.469 (75.375)
Epoch: [44][1360/14090]	Time 0.739 (0.771)	Data 0.001 (0.005)	Loss 2.1215 (2.1858)	Prec@1 42.969 (44.856)	Prec@5 75.781 (75.374)
Epoch: [44][1370/14090]	Time 0.853 (0.771)	Data 0.001 (0.005)	Loss 2.2253 (2.1860)	Prec@1 46.094 (44.857)	Prec@5 75.781 (75.368)
Epoch: [44][1380/14090]	Time 0.724 (0.771)	Data 0.001 (0.005)	Loss 1.9077 (2.1862)	Prec@1 47.656 (44.844)	Prec@5 82.812 (75.368)
Epoch: [44][1390/14090]	Time 0.738 (0.771)	Data 0.001 (0.005)	Loss 2.2243 (2.1865)	Prec@1 39.062 (44.830)	Prec@5 76.562 (75.361)
Epoch: [44][1400/14090]	Time 0.776 (0.771)	Data 0.001 (0.005)	Loss 2.3343 (2.1864)	Prec@1 42.969 (44.827)	Prec@5 64.844 (75.362)
Epoch: [44][1410/14090]	Time 0.740 (0.771)	Data 0.001 (0.005)	Loss 2.1400 (2.1861)	Prec@1 42.969 (44.834)	Prec@5 75.781 (75.363)
Epoch: [44][1420/14090]	Time 0.760 (0.771)	Data 0.001 (0.005)	Loss 2.2987 (2.1861)	Prec@1 41.406 (44.834)	Prec@5 71.875 (75.369)
Epoch: [44][1430/14090]	Time 0.758 (0.771)	Data 0.001 (0.005)	Loss 2.3427 (2.1861)	Prec@1 40.625 (44.826)	Prec@5 71.094 (75.365)
Epoch: [44][1440/14090]	Time 0.838 (0.771)	Data 0.001 (0.004)	Loss 2.1143 (2.1852)	Prec@1 44.531 (44.835)	Prec@5 72.656 (75.374)
Epoch: [44][1450/14090]	Time 0.743 (0.771)	Data 0.001 (0.004)	Loss 2.4185 (2.1851)	Prec@1 39.844 (44.837)	Prec@5 73.438 (75.380)
Epoch: [44][1460/14090]	Time 0.729 (0.771)	Data 0.001 (0.004)	Loss 2.3575 (2.1852)	Prec@1 44.531 (44.830)	Prec@5 70.312 (75.375)
Epoch: [44][1470/14090]	Time 0.777 (0.771)	Data 0.001 (0.004)	Loss 2.4247 (2.1846)	Prec@1 44.531 (44.844)	Prec@5 70.312 (75.386)
Epoch: [44][1480/14090]	Time 0.740 (0.770)	Data 0.001 (0.004)	Loss 1.9800 (2.1845)	Prec@1 53.125 (44.855)	Prec@5 75.781 (75.388)
Epoch: [44][1490/14090]	Time 0.754 (0.770)	Data 0.001 (0.004)	Loss 2.4997 (2.1849)	Prec@1 43.750 (44.843)	Prec@5 69.531 (75.385)
Epoch: [44][1500/14090]	Time 0.776 (0.770)	Data 0.001 (0.004)	Loss 2.4580 (2.1854)	Prec@1 37.500 (44.825)	Prec@5 71.875 (75.383)
Epoch: [44][1510/14090]	Time 0.967 (0.770)	Data 0.001 (0.004)	Loss 2.1797 (2.1855)	Prec@1 43.750 (44.818)	Prec@5 77.344 (75.386)
Epoch: [44][1520/14090]	Time 0.757 (0.770)	Data 0.001 (0.004)	Loss 2.1928 (2.1854)	Prec@1 41.406 (44.813)	Prec@5 73.438 (75.388)
Epoch: [44][1530/14090]	Time 0.736 (0.770)	Data 0.001 (0.004)	Loss 2.1256 (2.1856)	Prec@1 44.531 (44.813)	Prec@5 74.219 (75.386)
Epoch: [44][1540/14090]	Time 0.781 (0.770)	Data 0.001 (0.004)	Loss 1.7921 (2.1850)	Prec@1 53.906 (44.827)	Prec@5 78.125 (75.399)
Epoch: [44][1550/14090]	Time 0.742 (0.770)	Data 0.001 (0.004)	Loss 2.2301 (2.1850)	Prec@1 51.562 (44.834)	Prec@5 70.312 (75.404)
Epoch: [44][1560/14090]	Time 0.737 (0.770)	Data 0.001 (0.004)	Loss 2.2044 (2.1852)	Prec@1 50.000 (44.835)	Prec@5 75.000 (75.396)
Epoch: [44][1570/14090]	Time 0.735 (0.770)	Data 0.001 (0.004)	Loss 2.0688 (2.1853)	Prec@1 47.656 (44.829)	Prec@5 77.344 (75.394)
Epoch: [44][1580/14090]	Time 0.866 (0.770)	Data 0.001 (0.004)	Loss 2.1053 (2.1860)	Prec@1 48.438 (44.819)	Prec@5 76.562 (75.376)
Epoch: [44][1590/14090]	Time 0.768 (0.770)	Data 0.001 (0.004)	Loss 2.3369 (2.1863)	Prec@1 37.500 (44.824)	Prec@5 73.438 (75.370)
Epoch: [44][1600/14090]	Time 0.735 (0.770)	Data 0.001 (0.004)	Loss 2.2384 (2.1862)	Prec@1 48.438 (44.830)	Prec@5 72.656 (75.370)
Epoch: [44][1610/14090]	Time 0.771 (0.770)	Data 0.001 (0.004)	Loss 2.1183 (2.1864)	Prec@1 40.625 (44.832)	Prec@5 72.656 (75.365)
Epoch: [44][1620/14090]	Time 0.724 (0.770)	Data 0.001 (0.004)	Loss 2.2941 (2.1862)	Prec@1 39.062 (44.830)	Prec@5 75.000 (75.371)
Epoch: [44][1630/14090]	Time 0.736 (0.770)	Data 0.001 (0.004)	Loss 2.4016 (2.1867)	Prec@1 42.188 (44.836)	Prec@5 70.312 (75.356)
Epoch: [44][1640/14090]	Time 0.762 (0.770)	Data 0.001 (0.004)	Loss 1.9093 (2.1865)	Prec@1 51.562 (44.834)	Prec@5 78.125 (75.364)
Epoch: [44][1650/14090]	Time 0.875 (0.770)	Data 0.001 (0.004)	Loss 2.1765 (2.1861)	Prec@1 47.656 (44.840)	Prec@5 74.219 (75.363)
Epoch: [44][1660/14090]	Time 0.736 (0.770)	Data 0.001 (0.004)	Loss 2.3715 (2.1864)	Prec@1 38.281 (44.824)	Prec@5 73.438 (75.362)
Epoch: [44][1670/14090]	Time 0.749 (0.770)	Data 0.001 (0.004)	Loss 2.2054 (2.1866)	Prec@1 42.188 (44.819)	Prec@5 79.688 (75.360)
Epoch: [44][1680/14090]	Time 0.754 (0.770)	Data 0.001 (0.004)	Loss 2.0422 (2.1863)	Prec@1 51.562 (44.836)	Prec@5 79.688 (75.365)
Epoch: [44][1690/14090]	Time 0.747 (0.770)	Data 0.001 (0.004)	Loss 2.2072 (2.1865)	Prec@1 44.531 (44.833)	Prec@5 77.344 (75.360)
Epoch: [44][1700/14090]	Time 0.739 (0.770)	Data 0.001 (0.004)	Loss 1.9814 (2.1861)	Prec@1 51.562 (44.840)	Prec@5 77.344 (75.372)
Epoch: [44][1710/14090]	Time 0.742 (0.770)	Data 0.001 (0.004)	Loss 2.5283 (2.1863)	Prec@1 35.156 (44.841)	Prec@5 71.875 (75.373)
Epoch: [44][1720/14090]	Time 0.897 (0.770)	Data 0.001 (0.004)	Loss 1.8045 (2.1865)	Prec@1 51.562 (44.834)	Prec@5 82.031 (75.380)
Epoch: [44][1730/14090]	Time 0.764 (0.770)	Data 0.001 (0.004)	Loss 2.2734 (2.1865)	Prec@1 39.844 (44.824)	Prec@5 77.344 (75.393)
Epoch: [44][1740/14090]	Time 0.725 (0.770)	Data 0.001 (0.004)	Loss 2.0709 (2.1863)	Prec@1 50.000 (44.823)	Prec@5 78.125 (75.393)
Epoch: [44][1750/14090]	Time 0.739 (0.770)	Data 0.001 (0.004)	Loss 2.1935 (2.1864)	Prec@1 51.562 (44.830)	Prec@5 73.438 (75.390)
Epoch: [44][1760/14090]	Time 0.728 (0.770)	Data 0.001 (0.004)	Loss 2.1052 (2.1865)	Prec@1 42.188 (44.828)	Prec@5 77.344 (75.392)
Epoch: [44][1770/14090]	Time 0.749 (0.770)	Data 0.001 (0.004)	Loss 2.1203 (2.1868)	Prec@1 53.125 (44.833)	Prec@5 76.562 (75.385)
Epoch: [44][1780/14090]	Time 0.736 (0.770)	Data 0.001 (0.004)	Loss 2.0900 (2.1868)	Prec@1 43.750 (44.826)	Prec@5 76.562 (75.390)
Epoch: [44][1790/14090]	Time 0.888 (0.770)	Data 0.001 (0.004)	Loss 2.1027 (2.1862)	Prec@1 43.750 (44.837)	Prec@5 76.562 (75.396)
Epoch: [44][1800/14090]	Time 0.736 (0.770)	Data 0.001 (0.004)	Loss 2.2384 (2.1860)	Prec@1 44.531 (44.836)	Prec@5 75.781 (75.394)
Epoch: [44][1810/14090]	Time 0.743 (0.770)	Data 0.001 (0.004)	Loss 2.2839 (2.1859)	Prec@1 40.625 (44.835)	Prec@5 71.094 (75.399)
Epoch: [44][1820/14090]	Time 0.744 (0.770)	Data 0.001 (0.004)	Loss 2.0897 (2.1859)	Prec@1 46.875 (44.836)	Prec@5 78.906 (75.398)
Epoch: [44][1830/14090]	Time 0.776 (0.770)	Data 0.001 (0.004)	Loss 2.0605 (2.1858)	Prec@1 46.875 (44.838)	Prec@5 77.344 (75.403)
Epoch: [44][1840/14090]	Time 0.747 (0.770)	Data 0.001 (0.004)	Loss 2.3575 (2.1860)	Prec@1 41.406 (44.833)	Prec@5 76.562 (75.396)
Epoch: [44][1850/14090]	Time 0.754 (0.770)	Data 0.001 (0.004)	Loss 2.4041 (2.1863)	Prec@1 41.406 (44.836)	Prec@5 68.750 (75.385)
Epoch: [44][1860/14090]	Time 0.866 (0.770)	Data 0.001 (0.004)	Loss 2.0291 (2.1861)	Prec@1 48.438 (44.834)	Prec@5 78.906 (75.390)
Epoch: [44][1870/14090]	Time 0.738 (0.770)	Data 0.001 (0.004)	Loss 2.0834 (2.1863)	Prec@1 47.656 (44.839)	Prec@5 75.781 (75.380)
Epoch: [44][1880/14090]	Time 0.742 (0.770)	Data 0.001 (0.004)	Loss 2.2911 (2.1861)	Prec@1 42.969 (44.850)	Prec@5 77.344 (75.392)
Epoch: [44][1890/14090]	Time 0.746 (0.770)	Data 0.001 (0.004)	Loss 2.1731 (2.1862)	Prec@1 43.750 (44.849)	Prec@5 71.875 (75.392)
Epoch: [44][1900/14090]	Time 0.757 (0.770)	Data 0.001 (0.004)	Loss 2.1062 (2.1864)	Prec@1 53.125 (44.845)	Prec@5 76.562 (75.387)
Epoch: [44][1910/14090]	Time 0.756 (0.770)	Data 0.001 (0.004)	Loss 2.0354 (2.1867)	Prec@1 50.000 (44.838)	Prec@5 75.781 (75.379)
Epoch: [44][1920/14090]	Time 0.781 (0.770)	Data 0.001 (0.004)	Loss 2.2097 (2.1869)	Prec@1 46.094 (44.836)	Prec@5 74.219 (75.376)
Epoch: [44][1930/14090]	Time 0.864 (0.770)	Data 0.001 (0.004)	Loss 2.2610 (2.1871)	Prec@1 44.531 (44.828)	Prec@5 75.000 (75.373)
Epoch: [44][1940/14090]	Time 0.762 (0.770)	Data 0.001 (0.004)	Loss 2.2379 (2.1873)	Prec@1 46.875 (44.822)	Prec@5 74.219 (75.376)
Epoch: [44][1950/14090]	Time 0.750 (0.770)	Data 0.001 (0.004)	Loss 2.3531 (2.1877)	Prec@1 39.844 (44.810)	Prec@5 73.438 (75.372)
Epoch: [44][1960/14090]	Time 0.751 (0.770)	Data 0.001 (0.004)	Loss 2.2156 (2.1876)	Prec@1 46.094 (44.809)	Prec@5 77.344 (75.378)
Epoch: [44][1970/14090]	Time 0.739 (0.770)	Data 0.001 (0.003)	Loss 1.9427 (2.1877)	Prec@1 50.781 (44.808)	Prec@5 82.812 (75.378)
Epoch: [44][1980/14090]	Time 0.744 (0.770)	Data 0.001 (0.003)	Loss 2.3141 (2.1880)	Prec@1 37.500 (44.793)	Prec@5 77.344 (75.371)
Epoch: [44][1990/14090]	Time 0.727 (0.770)	Data 0.001 (0.003)	Loss 2.1170 (2.1881)	Prec@1 50.000 (44.794)	Prec@5 77.344 (75.369)
Epoch: [44][2000/14090]	Time 0.910 (0.770)	Data 0.001 (0.003)	Loss 2.2505 (2.1880)	Prec@1 42.188 (44.802)	Prec@5 71.094 (75.369)
Epoch: [44][2010/14090]	Time 0.726 (0.769)	Data 0.001 (0.003)	Loss 2.2805 (2.1885)	Prec@1 39.062 (44.801)	Prec@5 74.219 (75.360)
Epoch: [44][2020/14090]	Time 0.740 (0.770)	Data 0.001 (0.003)	Loss 1.9900 (2.1887)	Prec@1 53.125 (44.794)	Prec@5 78.125 (75.361)
Epoch: [44][2030/14090]	Time 0.774 (0.770)	Data 0.001 (0.003)	Loss 2.3802 (2.1888)	Prec@1 45.312 (44.791)	Prec@5 69.531 (75.360)
Epoch: [44][2040/14090]	Time 0.765 (0.770)	Data 0.001 (0.003)	Loss 2.0941 (2.1881)	Prec@1 45.312 (44.806)	Prec@5 77.344 (75.370)
Epoch: [44][2050/14090]	Time 0.744 (0.770)	Data 0.001 (0.003)	Loss 2.1894 (2.1878)	Prec@1 46.875 (44.812)	Prec@5 77.344 (75.374)
Epoch: [44][2060/14090]	Time 0.733 (0.770)	Data 0.001 (0.003)	Loss 2.0059 (2.1879)	Prec@1 46.094 (44.814)	Prec@5 78.125 (75.380)
Epoch: [44][2070/14090]	Time 0.850 (0.770)	Data 0.001 (0.003)	Loss 2.0950 (2.1879)	Prec@1 48.438 (44.813)	Prec@5 77.344 (75.382)
Epoch: [44][2080/14090]	Time 0.732 (0.769)	Data 0.001 (0.003)	Loss 2.2308 (2.1878)	Prec@1 34.375 (44.818)	Prec@5 78.125 (75.382)
Epoch: [44][2090/14090]	Time 0.758 (0.769)	Data 0.001 (0.003)	Loss 2.1215 (2.1878)	Prec@1 53.125 (44.820)	Prec@5 74.219 (75.379)
Epoch: [44][2100/14090]	Time 0.759 (0.769)	Data 0.001 (0.003)	Loss 2.2135 (2.1879)	Prec@1 42.969 (44.820)	Prec@5 76.562 (75.375)
Epoch: [44][2110/14090]	Time 0.765 (0.769)	Data 0.001 (0.003)	Loss 1.9323 (2.1879)	Prec@1 52.344 (44.829)	Prec@5 82.031 (75.373)
Epoch: [44][2120/14090]	Time 0.783 (0.769)	Data 0.001 (0.003)	Loss 2.0106 (2.1877)	Prec@1 49.219 (44.832)	Prec@5 74.219 (75.377)
Epoch: [44][2130/14090]	Time 0.729 (0.769)	Data 0.001 (0.003)	Loss 2.4590 (2.1880)	Prec@1 32.812 (44.821)	Prec@5 73.438 (75.374)
Epoch: [44][2140/14090]	Time 0.829 (0.769)	Data 0.001 (0.003)	Loss 2.1902 (2.1879)	Prec@1 46.094 (44.821)	Prec@5 74.219 (75.374)
Epoch: [44][2150/14090]	Time 0.751 (0.769)	Data 0.001 (0.003)	Loss 2.2452 (2.1873)	Prec@1 42.188 (44.830)	Prec@5 81.250 (75.388)
Epoch: [44][2160/14090]	Time 0.745 (0.769)	Data 0.001 (0.003)	Loss 2.2760 (2.1875)	Prec@1 45.312 (44.828)	Prec@5 72.656 (75.389)
Epoch: [44][2170/14090]	Time 0.740 (0.769)	Data 0.001 (0.003)	Loss 2.0555 (2.1876)	Prec@1 48.438 (44.823)	Prec@5 78.906 (75.384)
Epoch: [44][2180/14090]	Time 0.726 (0.769)	Data 0.001 (0.003)	Loss 2.1580 (2.1878)	Prec@1 46.094 (44.820)	Prec@5 72.656 (75.377)
Epoch: [44][2190/14090]	Time 0.751 (0.769)	Data 0.001 (0.003)	Loss 2.2599 (2.1878)	Prec@1 45.312 (44.818)	Prec@5 75.781 (75.377)
Epoch: [44][2200/14090]	Time 0.780 (0.769)	Data 0.001 (0.003)	Loss 2.4693 (2.1880)	Prec@1 38.281 (44.817)	Prec@5 71.875 (75.373)
Epoch: [44][2210/14090]	Time 0.853 (0.769)	Data 0.001 (0.003)	Loss 2.2790 (2.1880)	Prec@1 46.094 (44.818)	Prec@5 75.000 (75.375)
Epoch: [44][2220/14090]	Time 0.731 (0.769)	Data 0.001 (0.003)	Loss 2.3482 (2.1880)	Prec@1 44.531 (44.812)	Prec@5 71.875 (75.369)
Epoch: [44][2230/14090]	Time 0.726 (0.769)	Data 0.001 (0.003)	Loss 2.0094 (2.1881)	Prec@1 45.312 (44.817)	Prec@5 79.688 (75.367)
Epoch: [44][2240/14090]	Time 0.774 (0.769)	Data 0.001 (0.003)	Loss 2.2570 (2.1884)	Prec@1 43.750 (44.819)	Prec@5 74.219 (75.358)
Epoch: [44][2250/14090]	Time 0.737 (0.769)	Data 0.001 (0.003)	Loss 2.0420 (2.1882)	Prec@1 52.344 (44.822)	Prec@5 81.250 (75.365)
Epoch: [44][2260/14090]	Time 0.756 (0.769)	Data 0.001 (0.003)	Loss 2.2603 (2.1882)	Prec@1 47.656 (44.821)	Prec@5 74.219 (75.364)
Epoch: [44][2270/14090]	Time 0.741 (0.769)	Data 0.001 (0.003)	Loss 2.4359 (2.1884)	Prec@1 40.625 (44.813)	Prec@5 72.656 (75.364)
Epoch: [44][2280/14090]	Time 0.890 (0.769)	Data 0.001 (0.003)	Loss 2.1410 (2.1884)	Prec@1 46.094 (44.813)	Prec@5 75.000 (75.368)
Epoch: [44][2290/14090]	Time 0.729 (0.769)	Data 0.001 (0.003)	Loss 2.1099 (2.1884)	Prec@1 46.094 (44.817)	Prec@5 75.781 (75.367)
Epoch: [44][2300/14090]	Time 0.731 (0.769)	Data 0.001 (0.003)	Loss 1.8546 (2.1885)	Prec@1 51.562 (44.825)	Prec@5 82.031 (75.369)
Epoch: [44][2310/14090]	Time 0.775 (0.769)	Data 0.001 (0.003)	Loss 2.5319 (2.1887)	Prec@1 38.281 (44.826)	Prec@5 66.406 (75.362)
Epoch: [44][2320/14090]	Time 0.733 (0.769)	Data 0.001 (0.003)	Loss 2.2608 (2.1891)	Prec@1 41.406 (44.817)	Prec@5 75.000 (75.351)
Epoch: [44][2330/14090]	Time 0.743 (0.769)	Data 0.001 (0.003)	Loss 2.3654 (2.1893)	Prec@1 42.969 (44.811)	Prec@5 71.094 (75.342)
Epoch: [44][2340/14090]	Time 0.747 (0.769)	Data 0.001 (0.003)	Loss 2.2182 (2.1897)	Prec@1 43.750 (44.801)	Prec@5 71.875 (75.332)
Epoch: [44][2350/14090]	Time 0.853 (0.769)	Data 0.001 (0.003)	Loss 2.2943 (2.1900)	Prec@1 46.094 (44.797)	Prec@5 74.219 (75.322)
Epoch: [44][2360/14090]	Time 0.745 (0.769)	Data 0.001 (0.003)	Loss 2.0395 (2.1900)	Prec@1 45.312 (44.791)	Prec@5 77.344 (75.327)
Epoch: [44][2370/14090]	Time 0.737 (0.769)	Data 0.001 (0.003)	Loss 1.9794 (2.1902)	Prec@1 51.562 (44.788)	Prec@5 78.125 (75.324)
Epoch: [44][2380/14090]	Time 0.757 (0.769)	Data 0.001 (0.003)	Loss 2.4190 (2.1903)	Prec@1 38.281 (44.783)	Prec@5 70.312 (75.327)
Epoch: [44][2390/14090]	Time 0.747 (0.769)	Data 0.001 (0.003)	Loss 2.2094 (2.1902)	Prec@1 45.312 (44.792)	Prec@5 75.000 (75.333)
Epoch: [44][2400/14090]	Time 0.734 (0.769)	Data 0.001 (0.003)	Loss 2.0497 (2.1904)	Prec@1 54.688 (44.788)	Prec@5 75.781 (75.330)
Epoch: [44][2410/14090]	Time 0.781 (0.769)	Data 0.002 (0.003)	Loss 2.3187 (2.1902)	Prec@1 46.094 (44.789)	Prec@5 71.875 (75.336)
Epoch: [44][2420/14090]	Time 0.855 (0.769)	Data 0.001 (0.003)	Loss 2.4246 (2.1905)	Prec@1 39.062 (44.772)	Prec@5 71.094 (75.333)
Epoch: [44][2430/14090]	Time 0.743 (0.769)	Data 0.001 (0.003)	Loss 2.2479 (2.1904)	Prec@1 41.406 (44.775)	Prec@5 72.656 (75.335)
Epoch: [44][2440/14090]	Time 0.734 (0.769)	Data 0.001 (0.003)	Loss 2.1827 (2.1903)	Prec@1 42.969 (44.777)	Prec@5 76.562 (75.334)
Epoch: [44][2450/14090]	Time 0.768 (0.769)	Data 0.001 (0.003)	Loss 2.1787 (2.1905)	Prec@1 39.062 (44.773)	Prec@5 75.000 (75.331)
Epoch: [44][2460/14090]	Time 0.768 (0.769)	Data 0.001 (0.003)	Loss 2.0897 (2.1906)	Prec@1 45.312 (44.770)	Prec@5 80.469 (75.330)
Epoch: [44][2470/14090]	Time 0.746 (0.769)	Data 0.001 (0.003)	Loss 2.1018 (2.1905)	Prec@1 50.000 (44.777)	Prec@5 79.688 (75.334)
Epoch: [44][2480/14090]	Time 0.752 (0.769)	Data 0.001 (0.003)	Loss 2.3014 (2.1906)	Prec@1 46.875 (44.777)	Prec@5 70.312 (75.331)
Epoch: [44][2490/14090]	Time 0.901 (0.769)	Data 0.001 (0.003)	Loss 2.1633 (2.1909)	Prec@1 47.656 (44.772)	Prec@5 73.438 (75.326)
Epoch: [44][2500/14090]	Time 0.733 (0.769)	Data 0.001 (0.003)	Loss 2.4894 (2.1912)	Prec@1 38.281 (44.769)	Prec@5 68.750 (75.316)
Epoch: [44][2510/14090]	Time 0.774 (0.769)	Data 0.001 (0.003)	Loss 2.3965 (2.1912)	Prec@1 39.062 (44.767)	Prec@5 72.656 (75.320)
Epoch: [44][2520/14090]	Time 0.732 (0.769)	Data 0.001 (0.003)	Loss 2.2049 (2.1912)	Prec@1 47.656 (44.764)	Prec@5 75.781 (75.317)
Epoch: [44][2530/14090]	Time 0.755 (0.769)	Data 0.001 (0.003)	Loss 2.0493 (2.1913)	Prec@1 46.094 (44.762)	Prec@5 75.781 (75.316)
Epoch: [44][2540/14090]	Time 0.751 (0.769)	Data 0.001 (0.003)	Loss 2.0723 (2.1913)	Prec@1 45.312 (44.764)	Prec@5 78.906 (75.317)
Epoch: [44][2550/14090]	Time 0.743 (0.769)	Data 0.001 (0.003)	Loss 2.2873 (2.1915)	Prec@1 42.969 (44.762)	Prec@5 71.875 (75.314)
Epoch: [44][2560/14090]	Time 0.901 (0.769)	Data 0.001 (0.003)	Loss 2.2230 (2.1917)	Prec@1 45.312 (44.758)	Prec@5 75.000 (75.307)
Epoch: [44][2570/14090]	Time 0.737 (0.769)	Data 0.001 (0.003)	Loss 2.1382 (2.1919)	Prec@1 39.844 (44.753)	Prec@5 80.469 (75.304)
Epoch: [44][2580/14090]	Time 0.752 (0.769)	Data 0.001 (0.003)	Loss 2.1910 (2.1917)	Prec@1 47.656 (44.760)	Prec@5 76.562 (75.302)
Epoch: [44][2590/14090]	Time 0.738 (0.769)	Data 0.001 (0.003)	Loss 2.1996 (2.1913)	Prec@1 45.312 (44.773)	Prec@5 75.000 (75.315)
Epoch: [44][2600/14090]	Time 0.796 (0.769)	Data 0.001 (0.003)	Loss 2.2427 (2.1913)	Prec@1 39.062 (44.768)	Prec@5 73.438 (75.318)
Epoch: [44][2610/14090]	Time 0.746 (0.769)	Data 0.001 (0.003)	Loss 2.2095 (2.1911)	Prec@1 42.188 (44.771)	Prec@5 73.438 (75.321)
Epoch: [44][2620/14090]	Time 0.726 (0.769)	Data 0.001 (0.003)	Loss 2.2237 (2.1915)	Prec@1 42.969 (44.766)	Prec@5 78.906 (75.318)
Epoch: [44][2630/14090]	Time 0.875 (0.769)	Data 0.001 (0.003)	Loss 2.4413 (2.1917)	Prec@1 41.406 (44.768)	Prec@5 71.094 (75.313)
Epoch: [44][2640/14090]	Time 0.745 (0.769)	Data 0.001 (0.003)	Loss 2.2092 (2.1920)	Prec@1 43.750 (44.758)	Prec@5 79.688 (75.311)
Epoch: [44][2650/14090]	Time 0.729 (0.769)	Data 0.001 (0.003)	Loss 2.2287 (2.1919)	Prec@1 39.844 (44.763)	Prec@5 74.219 (75.313)
Epoch: [44][2660/14090]	Time 0.751 (0.769)	Data 0.001 (0.003)	Loss 1.8447 (2.1917)	Prec@1 50.781 (44.767)	Prec@5 81.250 (75.319)
Epoch: [44][2670/14090]	Time 0.757 (0.769)	Data 0.001 (0.003)	Loss 2.2234 (2.1915)	Prec@1 43.750 (44.774)	Prec@5 79.688 (75.323)
Epoch: [44][2680/14090]	Time 0.742 (0.769)	Data 0.001 (0.003)	Loss 2.3761 (2.1915)	Prec@1 41.406 (44.775)	Prec@5 71.875 (75.322)
Epoch: [44][2690/14090]	Time 0.753 (0.769)	Data 0.001 (0.003)	Loss 2.1374 (2.1914)	Prec@1 43.750 (44.775)	Prec@5 75.781 (75.327)
Epoch: [44][2700/14090]	Time 0.867 (0.769)	Data 0.001 (0.003)	Loss 2.1632 (2.1913)	Prec@1 42.188 (44.775)	Prec@5 76.562 (75.331)
Epoch: [44][2710/14090]	Time 0.770 (0.769)	Data 0.001 (0.003)	Loss 2.2725 (2.1915)	Prec@1 42.188 (44.769)	Prec@5 77.344 (75.325)
Epoch: [44][2720/14090]	Time 0.754 (0.769)	Data 0.001 (0.003)	Loss 1.8728 (2.1911)	Prec@1 56.250 (44.781)	Prec@5 82.812 (75.333)
Epoch: [44][2730/14090]	Time 0.734 (0.769)	Data 0.001 (0.003)	Loss 2.4132 (2.1910)	Prec@1 37.500 (44.777)	Prec@5 76.562 (75.337)
Epoch: [44][2740/14090]	Time 0.734 (0.769)	Data 0.001 (0.003)	Loss 2.2665 (2.1910)	Prec@1 41.406 (44.769)	Prec@5 75.781 (75.337)
Epoch: [44][2750/14090]	Time 0.753 (0.769)	Data 0.001 (0.003)	Loss 2.5433 (2.1911)	Prec@1 36.719 (44.766)	Prec@5 74.219 (75.335)
Epoch: [44][2760/14090]	Time 0.729 (0.769)	Data 0.001 (0.003)	Loss 2.2140 (2.1912)	Prec@1 42.188 (44.760)	Prec@5 77.344 (75.332)
Epoch: [44][2770/14090]	Time 0.861 (0.769)	Data 0.001 (0.003)	Loss 1.9320 (2.1909)	Prec@1 53.125 (44.768)	Prec@5 79.688 (75.339)
Epoch: [44][2780/14090]	Time 0.752 (0.769)	Data 0.001 (0.003)	Loss 2.1162 (2.1909)	Prec@1 47.656 (44.768)	Prec@5 78.906 (75.341)
Epoch: [44][2790/14090]	Time 0.751 (0.769)	Data 0.001 (0.003)	Loss 2.3620 (2.1908)	Prec@1 45.312 (44.773)	Prec@5 75.000 (75.341)
Epoch: [44][2800/14090]	Time 0.749 (0.769)	Data 0.002 (0.003)	Loss 2.0230 (2.1905)	Prec@1 46.875 (44.777)	Prec@5 78.906 (75.342)
Epoch: [44][2810/14090]	Time 0.727 (0.769)	Data 0.001 (0.003)	Loss 1.9632 (2.1905)	Prec@1 47.656 (44.778)	Prec@5 81.250 (75.339)
Epoch: [44][2820/14090]	Time 0.730 (0.769)	Data 0.001 (0.003)	Loss 2.0603 (2.1905)	Prec@1 47.656 (44.778)	Prec@5 75.000 (75.336)
Epoch: [44][2830/14090]	Time 0.749 (0.769)	Data 0.001 (0.003)	Loss 2.1900 (2.1903)	Prec@1 43.750 (44.776)	Prec@5 81.250 (75.342)
Epoch: [44][2840/14090]	Time 0.897 (0.769)	Data 0.001 (0.003)	Loss 2.2267 (2.1902)	Prec@1 50.000 (44.778)	Prec@5 76.562 (75.343)
Epoch: [44][2850/14090]	Time 0.763 (0.769)	Data 0.001 (0.003)	Loss 2.2672 (2.1903)	Prec@1 43.750 (44.780)	Prec@5 75.781 (75.341)
Epoch: [44][2860/14090]	Time 0.745 (0.769)	Data 0.001 (0.003)	Loss 2.1886 (2.1904)	Prec@1 46.094 (44.778)	Prec@5 75.000 (75.335)
Epoch: [44][2870/14090]	Time 0.736 (0.769)	Data 0.001 (0.003)	Loss 2.2138 (2.1903)	Prec@1 41.406 (44.779)	Prec@5 73.438 (75.339)
Epoch: [44][2880/14090]	Time 0.731 (0.769)	Data 0.001 (0.003)	Loss 2.2654 (2.1903)	Prec@1 36.719 (44.780)	Prec@5 78.906 (75.341)
Epoch: [44][2890/14090]	Time 0.753 (0.769)	Data 0.001 (0.003)	Loss 2.1543 (2.1905)	Prec@1 47.656 (44.773)	Prec@5 71.094 (75.338)
Epoch: [44][2900/14090]	Time 0.741 (0.769)	Data 0.001 (0.003)	Loss 2.3362 (2.1903)	Prec@1 42.969 (44.776)	Prec@5 66.406 (75.336)
Epoch: [44][2910/14090]	Time 0.908 (0.769)	Data 0.001 (0.003)	Loss 2.5784 (2.1906)	Prec@1 35.156 (44.764)	Prec@5 69.531 (75.330)
Epoch: [44][2920/14090]	Time 0.737 (0.769)	Data 0.001 (0.003)	Loss 2.3505 (2.1909)	Prec@1 41.406 (44.761)	Prec@5 70.312 (75.324)
Epoch: [44][2930/14090]	Time 0.754 (0.769)	Data 0.001 (0.003)	Loss 2.0656 (2.1905)	Prec@1 46.094 (44.773)	Prec@5 78.125 (75.329)
Epoch: [44][2940/14090]	Time 0.728 (0.769)	Data 0.001 (0.003)	Loss 1.8434 (2.1905)	Prec@1 55.469 (44.776)	Prec@5 81.250 (75.333)
Epoch: [44][2950/14090]	Time 0.747 (0.769)	Data 0.001 (0.003)	Loss 1.9821 (2.1906)	Prec@1 53.906 (44.778)	Prec@5 78.906 (75.328)
Epoch: [44][2960/14090]	Time 0.748 (0.769)	Data 0.001 (0.003)	Loss 2.0601 (2.1905)	Prec@1 49.219 (44.783)	Prec@5 78.125 (75.331)
Epoch: [44][2970/14090]	Time 0.754 (0.769)	Data 0.001 (0.003)	Loss 2.4511 (2.1909)	Prec@1 39.844 (44.777)	Prec@5 71.875 (75.331)
Epoch: [44][2980/14090]	Time 0.849 (0.769)	Data 0.001 (0.003)	Loss 2.2937 (2.1910)	Prec@1 35.938 (44.772)	Prec@5 75.000 (75.329)
Epoch: [44][2990/14090]	Time 0.754 (0.769)	Data 0.001 (0.003)	Loss 2.0560 (2.1909)	Prec@1 50.000 (44.772)	Prec@5 79.688 (75.328)
Epoch: [44][3000/14090]	Time 0.744 (0.769)	Data 0.001 (0.003)	Loss 2.0971 (2.1909)	Prec@1 46.094 (44.771)	Prec@5 75.000 (75.327)
Epoch: [44][3010/14090]	Time 0.728 (0.769)	Data 0.001 (0.003)	Loss 2.2512 (2.1906)	Prec@1 40.625 (44.779)	Prec@5 75.781 (75.333)
Epoch: [44][3020/14090]	Time 0.747 (0.768)	Data 0.001 (0.003)	Loss 2.3105 (2.1909)	Prec@1 46.875 (44.774)	Prec@5 75.000 (75.331)
Epoch: [44][3030/14090]	Time 0.739 (0.769)	Data 0.001 (0.003)	Loss 1.9618 (2.1906)	Prec@1 50.000 (44.780)	Prec@5 80.469 (75.338)
Epoch: [44][3040/14090]	Time 0.758 (0.768)	Data 0.001 (0.003)	Loss 2.1888 (2.1906)	Prec@1 45.312 (44.783)	Prec@5 76.562 (75.338)
Epoch: [44][3050/14090]	Time 0.892 (0.769)	Data 0.001 (0.003)	Loss 2.1650 (2.1903)	Prec@1 42.969 (44.790)	Prec@5 77.344 (75.346)
Epoch: [44][3060/14090]	Time 0.730 (0.768)	Data 0.001 (0.003)	Loss 1.8740 (2.1904)	Prec@1 51.562 (44.786)	Prec@5 80.469 (75.349)
Epoch: [44][3070/14090]	Time 0.732 (0.768)	Data 0.001 (0.003)	Loss 2.2316 (2.1907)	Prec@1 40.625 (44.780)	Prec@5 76.562 (75.346)
Epoch: [44][3080/14090]	Time 0.782 (0.768)	Data 0.001 (0.003)	Loss 2.1771 (2.1905)	Prec@1 42.969 (44.787)	Prec@5 75.000 (75.353)
Epoch: [44][3090/14090]	Time 0.723 (0.768)	Data 0.001 (0.003)	Loss 2.2333 (2.1910)	Prec@1 41.406 (44.774)	Prec@5 80.469 (75.347)
Epoch: [44][3100/14090]	Time 0.755 (0.768)	Data 0.001 (0.003)	Loss 1.9854 (2.1909)	Prec@1 46.094 (44.780)	Prec@5 81.250 (75.345)
Epoch: [44][3110/14090]	Time 0.785 (0.768)	Data 0.001 (0.003)	Loss 1.9489 (2.1908)	Prec@1 53.906 (44.788)	Prec@5 76.562 (75.343)
Epoch: [44][3120/14090]	Time 0.865 (0.768)	Data 0.001 (0.003)	Loss 2.2504 (2.1910)	Prec@1 42.969 (44.781)	Prec@5 78.906 (75.344)
Epoch: [44][3130/14090]	Time 0.737 (0.768)	Data 0.001 (0.003)	Loss 2.2268 (2.1911)	Prec@1 47.656 (44.786)	Prec@5 77.344 (75.342)
Epoch: [44][3140/14090]	Time 0.747 (0.768)	Data 0.001 (0.002)	Loss 2.1773 (2.1909)	Prec@1 50.781 (44.788)	Prec@5 72.656 (75.343)
Epoch: [44][3150/14090]	Time 0.750 (0.768)	Data 0.001 (0.002)	Loss 2.3186 (2.1911)	Prec@1 44.531 (44.785)	Prec@5 74.219 (75.341)
Epoch: [44][3160/14090]	Time 0.733 (0.768)	Data 0.001 (0.002)	Loss 2.1032 (2.1911)	Prec@1 49.219 (44.784)	Prec@5 73.438 (75.338)
Epoch: [44][3170/14090]	Time 0.731 (0.768)	Data 0.000 (0.002)	Loss 2.2116 (2.1909)	Prec@1 39.062 (44.784)	Prec@5 76.562 (75.341)
Epoch: [44][3180/14090]	Time 0.743 (0.768)	Data 0.001 (0.002)	Loss 2.2942 (2.1909)	Prec@1 45.312 (44.788)	Prec@5 74.219 (75.342)
Epoch: [44][3190/14090]	Time 0.883 (0.768)	Data 0.001 (0.002)	Loss 2.3651 (2.1907)	Prec@1 38.281 (44.792)	Prec@5 70.312 (75.345)
Epoch: [44][3200/14090]	Time 0.799 (0.768)	Data 0.001 (0.002)	Loss 2.2690 (2.1910)	Prec@1 42.188 (44.788)	Prec@5 68.750 (75.338)
Epoch: [44][3210/14090]	Time 0.762 (0.768)	Data 0.001 (0.002)	Loss 2.2221 (2.1910)	Prec@1 47.656 (44.791)	Prec@5 76.562 (75.337)
Epoch: [44][3220/14090]	Time 0.759 (0.768)	Data 0.001 (0.002)	Loss 2.2279 (2.1910)	Prec@1 42.969 (44.793)	Prec@5 67.969 (75.339)
Epoch: [44][3230/14090]	Time 0.743 (0.768)	Data 0.001 (0.002)	Loss 2.0395 (2.1911)	Prec@1 45.312 (44.795)	Prec@5 78.125 (75.341)
Epoch: [44][3240/14090]	Time 0.765 (0.768)	Data 0.001 (0.002)	Loss 2.0883 (2.1914)	Prec@1 45.312 (44.784)	Prec@5 76.562 (75.334)
Epoch: [44][3250/14090]	Time 0.733 (0.768)	Data 0.001 (0.002)	Loss 2.0465 (2.1914)	Prec@1 47.656 (44.779)	Prec@5 82.031 (75.334)
Epoch: [44][3260/14090]	Time 0.876 (0.768)	Data 0.001 (0.002)	Loss 2.3285 (2.1912)	Prec@1 42.969 (44.777)	Prec@5 68.750 (75.333)
Epoch: [44][3270/14090]	Time 0.738 (0.768)	Data 0.001 (0.002)	Loss 2.1653 (2.1915)	Prec@1 45.312 (44.768)	Prec@5 75.781 (75.328)
Epoch: [44][3280/14090]	Time 0.727 (0.768)	Data 0.001 (0.002)	Loss 2.2981 (2.1917)	Prec@1 48.438 (44.764)	Prec@5 72.656 (75.319)
Epoch: [44][3290/14090]	Time 0.775 (0.768)	Data 0.001 (0.002)	Loss 2.3361 (2.1915)	Prec@1 36.719 (44.763)	Prec@5 69.531 (75.323)
Epoch: [44][3300/14090]	Time 0.756 (0.768)	Data 0.001 (0.002)	Loss 2.0809 (2.1914)	Prec@1 43.750 (44.760)	Prec@5 78.125 (75.328)
Epoch: [44][3310/14090]	Time 0.747 (0.768)	Data 0.001 (0.002)	Loss 2.1033 (2.1912)	Prec@1 45.312 (44.766)	Prec@5 77.344 (75.329)
Epoch: [44][3320/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 2.1836 (2.1915)	Prec@1 47.656 (44.762)	Prec@5 75.781 (75.323)
Epoch: [44][3330/14090]	Time 0.880 (0.768)	Data 0.001 (0.002)	Loss 2.0244 (2.1915)	Prec@1 48.438 (44.763)	Prec@5 78.906 (75.325)
Epoch: [44][3340/14090]	Time 0.747 (0.768)	Data 0.001 (0.002)	Loss 2.0469 (2.1917)	Prec@1 51.562 (44.762)	Prec@5 75.781 (75.321)
Epoch: [44][3350/14090]	Time 0.753 (0.768)	Data 0.001 (0.002)	Loss 2.0629 (2.1915)	Prec@1 46.094 (44.763)	Prec@5 78.125 (75.322)
Epoch: [44][3360/14090]	Time 0.719 (0.768)	Data 0.001 (0.002)	Loss 2.2241 (2.1913)	Prec@1 40.625 (44.763)	Prec@5 72.656 (75.324)
Epoch: [44][3370/14090]	Time 0.734 (0.768)	Data 0.001 (0.002)	Loss 2.1196 (2.1913)	Prec@1 43.750 (44.761)	Prec@5 76.562 (75.329)
Epoch: [44][3380/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 2.1246 (2.1916)	Prec@1 48.438 (44.754)	Prec@5 77.344 (75.322)
Epoch: [44][3390/14090]	Time 0.770 (0.768)	Data 0.001 (0.002)	Loss 2.1754 (2.1917)	Prec@1 46.875 (44.754)	Prec@5 72.656 (75.317)
Epoch: [44][3400/14090]	Time 0.901 (0.768)	Data 0.001 (0.002)	Loss 2.4727 (2.1917)	Prec@1 35.938 (44.757)	Prec@5 73.438 (75.316)
Epoch: [44][3410/14090]	Time 0.730 (0.768)	Data 0.001 (0.002)	Loss 2.2162 (2.1918)	Prec@1 51.562 (44.759)	Prec@5 71.875 (75.313)
Epoch: [44][3420/14090]	Time 0.727 (0.768)	Data 0.001 (0.002)	Loss 2.3494 (2.1918)	Prec@1 43.750 (44.764)	Prec@5 75.000 (75.313)
Epoch: [44][3430/14090]	Time 0.741 (0.768)	Data 0.001 (0.002)	Loss 2.1265 (2.1916)	Prec@1 44.531 (44.764)	Prec@5 78.125 (75.320)
Epoch: [44][3440/14090]	Time 0.776 (0.768)	Data 0.002 (0.002)	Loss 1.9714 (2.1915)	Prec@1 50.000 (44.768)	Prec@5 78.906 (75.319)
Epoch: [44][3450/14090]	Time 0.734 (0.768)	Data 0.001 (0.002)	Loss 2.3173 (2.1915)	Prec@1 40.625 (44.770)	Prec@5 73.438 (75.317)
Epoch: [44][3460/14090]	Time 0.747 (0.768)	Data 0.001 (0.002)	Loss 2.4271 (2.1915)	Prec@1 37.500 (44.766)	Prec@5 71.094 (75.314)
Epoch: [44][3470/14090]	Time 0.923 (0.768)	Data 0.001 (0.002)	Loss 2.1193 (2.1914)	Prec@1 46.094 (44.768)	Prec@5 75.000 (75.315)
Epoch: [44][3480/14090]	Time 0.749 (0.768)	Data 0.001 (0.002)	Loss 1.9609 (2.1913)	Prec@1 52.344 (44.772)	Prec@5 81.250 (75.318)
Epoch: [44][3490/14090]	Time 0.749 (0.768)	Data 0.001 (0.002)	Loss 2.1958 (2.1914)	Prec@1 39.844 (44.768)	Prec@5 68.750 (75.314)
Epoch: [44][3500/14090]	Time 0.753 (0.768)	Data 0.001 (0.002)	Loss 2.2359 (2.1912)	Prec@1 47.656 (44.772)	Prec@5 72.656 (75.320)
Epoch: [44][3510/14090]	Time 0.777 (0.768)	Data 0.001 (0.002)	Loss 2.0467 (2.1911)	Prec@1 46.094 (44.776)	Prec@5 80.469 (75.324)
Epoch: [44][3520/14090]	Time 0.755 (0.768)	Data 0.001 (0.002)	Loss 2.4172 (2.1912)	Prec@1 40.625 (44.775)	Prec@5 70.312 (75.326)
Epoch: [44][3530/14090]	Time 0.779 (0.768)	Data 0.001 (0.002)	Loss 2.1121 (2.1911)	Prec@1 44.531 (44.778)	Prec@5 78.125 (75.329)
Epoch: [44][3540/14090]	Time 0.865 (0.768)	Data 0.001 (0.002)	Loss 1.9223 (2.1910)	Prec@1 46.875 (44.782)	Prec@5 82.812 (75.327)
Epoch: [44][3550/14090]	Time 0.741 (0.768)	Data 0.001 (0.002)	Loss 2.0821 (2.1913)	Prec@1 49.219 (44.777)	Prec@5 75.000 (75.323)
Epoch: [44][3560/14090]	Time 0.749 (0.768)	Data 0.001 (0.002)	Loss 1.9349 (2.1912)	Prec@1 50.000 (44.780)	Prec@5 78.125 (75.321)
Epoch: [44][3570/14090]	Time 0.750 (0.768)	Data 0.001 (0.002)	Loss 2.3416 (2.1912)	Prec@1 41.406 (44.782)	Prec@5 70.312 (75.321)
Epoch: [44][3580/14090]	Time 0.761 (0.768)	Data 0.001 (0.002)	Loss 2.0020 (2.1912)	Prec@1 50.000 (44.781)	Prec@5 77.344 (75.320)
Epoch: [44][3590/14090]	Time 0.724 (0.768)	Data 0.001 (0.002)	Loss 1.8104 (2.1912)	Prec@1 46.875 (44.774)	Prec@5 85.938 (75.322)
Epoch: [44][3600/14090]	Time 0.728 (0.768)	Data 0.001 (0.002)	Loss 2.1009 (2.1910)	Prec@1 46.094 (44.776)	Prec@5 78.906 (75.326)
Epoch: [44][3610/14090]	Time 0.865 (0.768)	Data 0.001 (0.002)	Loss 2.0795 (2.1910)	Prec@1 46.094 (44.778)	Prec@5 78.125 (75.331)
Epoch: [44][3620/14090]	Time 0.750 (0.768)	Data 0.001 (0.002)	Loss 1.9301 (2.1910)	Prec@1 50.781 (44.778)	Prec@5 76.562 (75.326)
Epoch: [44][3630/14090]	Time 0.734 (0.768)	Data 0.001 (0.002)	Loss 2.3936 (2.1912)	Prec@1 41.406 (44.776)	Prec@5 67.188 (75.313)
Epoch: [44][3640/14090]	Time 0.730 (0.768)	Data 0.001 (0.002)	Loss 2.1613 (2.1913)	Prec@1 48.438 (44.774)	Prec@5 77.344 (75.311)
Epoch: [44][3650/14090]	Time 0.749 (0.768)	Data 0.001 (0.002)	Loss 2.3586 (2.1914)	Prec@1 42.969 (44.772)	Prec@5 68.750 (75.308)
Epoch: [44][3660/14090]	Time 0.753 (0.768)	Data 0.001 (0.002)	Loss 2.3289 (2.1916)	Prec@1 41.406 (44.771)	Prec@5 71.094 (75.305)
Epoch: [44][3670/14090]	Time 0.757 (0.768)	Data 0.001 (0.002)	Loss 2.2965 (2.1915)	Prec@1 44.531 (44.772)	Prec@5 69.531 (75.309)
Epoch: [44][3680/14090]	Time 0.876 (0.768)	Data 0.001 (0.002)	Loss 2.2285 (2.1917)	Prec@1 41.406 (44.772)	Prec@5 76.562 (75.307)
Epoch: [44][3690/14090]	Time 0.736 (0.768)	Data 0.001 (0.002)	Loss 2.4402 (2.1917)	Prec@1 36.719 (44.768)	Prec@5 74.219 (75.309)
Epoch: [44][3700/14090]	Time 0.738 (0.768)	Data 0.001 (0.002)	Loss 2.2075 (2.1919)	Prec@1 46.094 (44.765)	Prec@5 72.656 (75.306)
Epoch: [44][3710/14090]	Time 0.745 (0.768)	Data 0.001 (0.002)	Loss 1.9281 (2.1917)	Prec@1 46.094 (44.770)	Prec@5 78.906 (75.309)
Epoch: [44][3720/14090]	Time 0.730 (0.768)	Data 0.001 (0.002)	Loss 2.1896 (2.1917)	Prec@1 42.969 (44.771)	Prec@5 77.344 (75.308)
Epoch: [44][3730/14090]	Time 0.755 (0.768)	Data 0.001 (0.002)	Loss 2.3867 (2.1915)	Prec@1 40.625 (44.772)	Prec@5 73.438 (75.312)
Epoch: [44][3740/14090]	Time 0.780 (0.768)	Data 0.001 (0.002)	Loss 2.1073 (2.1913)	Prec@1 48.438 (44.775)	Prec@5 77.344 (75.316)
Epoch: [44][3750/14090]	Time 0.857 (0.768)	Data 0.001 (0.002)	Loss 2.0432 (2.1913)	Prec@1 44.531 (44.775)	Prec@5 82.812 (75.319)
Epoch: [44][3760/14090]	Time 0.735 (0.768)	Data 0.001 (0.002)	Loss 2.4207 (2.1914)	Prec@1 42.188 (44.773)	Prec@5 68.750 (75.319)
Epoch: [44][3770/14090]	Time 0.766 (0.768)	Data 0.001 (0.002)	Loss 1.9914 (2.1912)	Prec@1 50.000 (44.779)	Prec@5 77.344 (75.323)
Epoch: [44][3780/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 2.1185 (2.1912)	Prec@1 53.125 (44.784)	Prec@5 78.906 (75.319)
Epoch: [44][3790/14090]	Time 0.731 (0.768)	Data 0.001 (0.002)	Loss 2.3417 (2.1914)	Prec@1 42.188 (44.782)	Prec@5 73.438 (75.316)
Epoch: [44][3800/14090]	Time 0.738 (0.768)	Data 0.001 (0.002)	Loss 2.1623 (2.1913)	Prec@1 43.750 (44.784)	Prec@5 75.000 (75.316)
Epoch: [44][3810/14090]	Time 0.735 (0.768)	Data 0.001 (0.002)	Loss 2.3083 (2.1912)	Prec@1 42.969 (44.786)	Prec@5 74.219 (75.322)
Epoch: [44][3820/14090]	Time 0.831 (0.768)	Data 0.001 (0.002)	Loss 2.3016 (2.1911)	Prec@1 37.500 (44.786)	Prec@5 75.000 (75.318)
Epoch: [44][3830/14090]	Time 0.767 (0.768)	Data 0.001 (0.002)	Loss 1.8959 (2.1908)	Prec@1 47.656 (44.791)	Prec@5 81.250 (75.325)
Epoch: [44][3840/14090]	Time 0.733 (0.768)	Data 0.001 (0.002)	Loss 2.1446 (2.1909)	Prec@1 50.000 (44.788)	Prec@5 78.125 (75.324)
Epoch: [44][3850/14090]	Time 0.741 (0.768)	Data 0.001 (0.002)	Loss 2.1152 (2.1910)	Prec@1 47.656 (44.787)	Prec@5 78.125 (75.321)
Epoch: [44][3860/14090]	Time 0.759 (0.768)	Data 0.001 (0.002)	Loss 2.3116 (2.1912)	Prec@1 39.062 (44.782)	Prec@5 67.188 (75.320)
Epoch: [44][3870/14090]	Time 0.745 (0.768)	Data 0.001 (0.002)	Loss 2.1011 (2.1912)	Prec@1 49.219 (44.778)	Prec@5 78.125 (75.320)
Epoch: [44][3880/14090]	Time 0.736 (0.768)	Data 0.001 (0.002)	Loss 2.0559 (2.1912)	Prec@1 50.000 (44.779)	Prec@5 78.906 (75.322)
Epoch: [44][3890/14090]	Time 0.892 (0.768)	Data 0.001 (0.002)	Loss 2.3024 (2.1913)	Prec@1 42.188 (44.776)	Prec@5 74.219 (75.319)
Epoch: [44][3900/14090]	Time 0.727 (0.768)	Data 0.001 (0.002)	Loss 2.2347 (2.1913)	Prec@1 43.750 (44.777)	Prec@5 76.562 (75.321)
Epoch: [44][3910/14090]	Time 0.741 (0.768)	Data 0.001 (0.002)	Loss 2.6335 (2.1914)	Prec@1 31.250 (44.774)	Prec@5 70.312 (75.318)
Epoch: [44][3920/14090]	Time 0.730 (0.768)	Data 0.001 (0.002)	Loss 2.1276 (2.1915)	Prec@1 44.531 (44.768)	Prec@5 77.344 (75.316)
Epoch: [44][3930/14090]	Time 0.768 (0.768)	Data 0.001 (0.002)	Loss 2.2494 (2.1914)	Prec@1 46.094 (44.771)	Prec@5 74.219 (75.319)
Epoch: [44][3940/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 2.5896 (2.1918)	Prec@1 41.406 (44.762)	Prec@5 69.531 (75.314)
Epoch: [44][3950/14090]	Time 0.764 (0.768)	Data 0.001 (0.002)	Loss 2.2532 (2.1918)	Prec@1 40.625 (44.763)	Prec@5 75.781 (75.313)
Epoch: [44][3960/14090]	Time 0.921 (0.768)	Data 0.001 (0.002)	Loss 2.2219 (2.1918)	Prec@1 49.219 (44.768)	Prec@5 75.781 (75.316)
Epoch: [44][3970/14090]	Time 0.739 (0.768)	Data 0.001 (0.002)	Loss 2.4930 (2.1919)	Prec@1 35.938 (44.770)	Prec@5 67.969 (75.312)
Epoch: [44][3980/14090]	Time 0.731 (0.768)	Data 0.001 (0.002)	Loss 2.2468 (2.1919)	Prec@1 45.312 (44.767)	Prec@5 74.219 (75.309)
Epoch: [44][3990/14090]	Time 0.754 (0.768)	Data 0.001 (0.002)	Loss 2.4024 (2.1921)	Prec@1 41.406 (44.762)	Prec@5 73.438 (75.304)
Epoch: [44][4000/14090]	Time 0.743 (0.768)	Data 0.001 (0.002)	Loss 2.1033 (2.1921)	Prec@1 43.750 (44.765)	Prec@5 76.562 (75.303)
Epoch: [44][4010/14090]	Time 0.747 (0.768)	Data 0.001 (0.002)	Loss 2.0461 (2.1920)	Prec@1 44.531 (44.764)	Prec@5 74.219 (75.304)
Epoch: [44][4020/14090]	Time 0.748 (0.768)	Data 0.001 (0.002)	Loss 1.9674 (2.1919)	Prec@1 53.125 (44.762)	Prec@5 75.781 (75.306)
Epoch: [44][4030/14090]	Time 0.848 (0.768)	Data 0.001 (0.002)	Loss 1.9630 (2.1922)	Prec@1 47.656 (44.760)	Prec@5 80.469 (75.299)
Epoch: [44][4040/14090]	Time 0.737 (0.768)	Data 0.001 (0.002)	Loss 2.2530 (2.1923)	Prec@1 43.750 (44.764)	Prec@5 73.438 (75.293)
Epoch: [44][4050/14090]	Time 0.748 (0.768)	Data 0.001 (0.002)	Loss 2.0262 (2.1922)	Prec@1 51.562 (44.770)	Prec@5 78.906 (75.297)
Epoch: [44][4060/14090]	Time 0.758 (0.768)	Data 0.001 (0.002)	Loss 2.0943 (2.1922)	Prec@1 47.656 (44.772)	Prec@5 82.031 (75.304)
Epoch: [44][4070/14090]	Time 0.770 (0.768)	Data 0.001 (0.002)	Loss 2.1746 (2.1921)	Prec@1 49.219 (44.776)	Prec@5 75.000 (75.303)
Epoch: [44][4080/14090]	Time 0.753 (0.768)	Data 0.001 (0.002)	Loss 1.9410 (2.1921)	Prec@1 42.188 (44.777)	Prec@5 79.688 (75.303)
Epoch: [44][4090/14090]	Time 0.750 (0.768)	Data 0.001 (0.002)	Loss 2.2236 (2.1923)	Prec@1 46.094 (44.774)	Prec@5 71.875 (75.299)
Epoch: [44][4100/14090]	Time 0.824 (0.768)	Data 0.001 (0.002)	Loss 2.2329 (2.1923)	Prec@1 42.188 (44.771)	Prec@5 78.906 (75.295)
Epoch: [44][4110/14090]	Time 0.739 (0.768)	Data 0.001 (0.002)	Loss 2.0007 (2.1924)	Prec@1 46.094 (44.768)	Prec@5 82.031 (75.293)
Epoch: [44][4120/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 2.2492 (2.1923)	Prec@1 40.625 (44.770)	Prec@5 75.000 (75.294)
Epoch: [44][4130/14090]	Time 0.732 (0.768)	Data 0.001 (0.002)	Loss 2.1241 (2.1924)	Prec@1 49.219 (44.767)	Prec@5 71.094 (75.293)
Epoch: [44][4140/14090]	Time 0.755 (0.768)	Data 0.001 (0.002)	Loss 2.1844 (2.1925)	Prec@1 44.531 (44.767)	Prec@5 75.781 (75.294)
Epoch: [44][4150/14090]	Time 0.770 (0.768)	Data 0.001 (0.002)	Loss 2.0810 (2.1922)	Prec@1 46.094 (44.774)	Prec@5 78.125 (75.300)
Epoch: [44][4160/14090]	Time 0.764 (0.768)	Data 0.001 (0.002)	Loss 2.2617 (2.1922)	Prec@1 39.062 (44.774)	Prec@5 75.000 (75.300)
Epoch: [44][4170/14090]	Time 0.845 (0.768)	Data 0.001 (0.002)	Loss 2.0033 (2.1923)	Prec@1 51.562 (44.769)	Prec@5 78.906 (75.299)
Epoch: [44][4180/14090]	Time 0.730 (0.768)	Data 0.001 (0.002)	Loss 2.1939 (2.1926)	Prec@1 43.750 (44.762)	Prec@5 74.219 (75.293)
Epoch: [44][4190/14090]	Time 0.746 (0.768)	Data 0.001 (0.002)	Loss 2.0412 (2.1926)	Prec@1 45.312 (44.756)	Prec@5 79.688 (75.294)
Epoch: [44][4200/14090]	Time 0.754 (0.768)	Data 0.001 (0.002)	Loss 2.2205 (2.1928)	Prec@1 46.875 (44.753)	Prec@5 76.562 (75.296)
Epoch: [44][4210/14090]	Time 0.755 (0.768)	Data 0.001 (0.002)	Loss 2.2730 (2.1930)	Prec@1 42.188 (44.746)	Prec@5 71.094 (75.290)
Epoch: [44][4220/14090]	Time 0.750 (0.768)	Data 0.001 (0.002)	Loss 2.2580 (2.1929)	Prec@1 37.500 (44.745)	Prec@5 77.344 (75.289)
Epoch: [44][4230/14090]	Time 0.732 (0.768)	Data 0.001 (0.002)	Loss 2.4046 (2.1930)	Prec@1 41.406 (44.746)	Prec@5 71.094 (75.289)
Epoch: [44][4240/14090]	Time 0.924 (0.768)	Data 0.002 (0.002)	Loss 2.0933 (2.1930)	Prec@1 44.531 (44.749)	Prec@5 78.906 (75.289)
Epoch: [44][4250/14090]	Time 0.738 (0.768)	Data 0.001 (0.002)	Loss 2.3580 (2.1929)	Prec@1 35.156 (44.748)	Prec@5 74.219 (75.289)
Epoch: [44][4260/14090]	Time 0.749 (0.768)	Data 0.001 (0.002)	Loss 2.0596 (2.1929)	Prec@1 48.438 (44.747)	Prec@5 79.688 (75.290)
Epoch: [44][4270/14090]	Time 0.739 (0.768)	Data 0.001 (0.002)	Loss 2.2845 (2.1929)	Prec@1 45.312 (44.745)	Prec@5 75.000 (75.289)
Epoch: [44][4280/14090]	Time 0.734 (0.768)	Data 0.001 (0.002)	Loss 2.3589 (2.1930)	Prec@1 35.938 (44.743)	Prec@5 71.094 (75.285)
Epoch: [44][4290/14090]	Time 0.757 (0.768)	Data 0.001 (0.002)	Loss 2.0516 (2.1929)	Prec@1 50.000 (44.745)	Prec@5 78.125 (75.290)
Epoch: [44][4300/14090]	Time 0.777 (0.768)	Data 0.001 (0.002)	Loss 2.2317 (2.1928)	Prec@1 39.844 (44.744)	Prec@5 72.656 (75.289)
Epoch: [44][4310/14090]	Time 0.919 (0.768)	Data 0.001 (0.002)	Loss 2.1695 (2.1927)	Prec@1 43.750 (44.745)	Prec@5 71.094 (75.290)
Epoch: [44][4320/14090]	Time 0.736 (0.768)	Data 0.001 (0.002)	Loss 1.7090 (2.1927)	Prec@1 51.562 (44.749)	Prec@5 84.375 (75.290)
Epoch: [44][4330/14090]	Time 0.725 (0.768)	Data 0.001 (0.002)	Loss 2.0073 (2.1927)	Prec@1 46.094 (44.746)	Prec@5 74.219 (75.291)
Epoch: [44][4340/14090]	Time 0.731 (0.768)	Data 0.001 (0.002)	Loss 1.9044 (2.1926)	Prec@1 53.906 (44.747)	Prec@5 80.469 (75.295)
Epoch: [44][4350/14090]	Time 0.728 (0.768)	Data 0.001 (0.002)	Loss 1.9658 (2.1923)	Prec@1 45.312 (44.750)	Prec@5 78.125 (75.296)
Epoch: [44][4360/14090]	Time 0.762 (0.768)	Data 0.001 (0.002)	Loss 2.2863 (2.1924)	Prec@1 46.094 (44.750)	Prec@5 76.562 (75.296)
Epoch: [44][4370/14090]	Time 0.755 (0.768)	Data 0.001 (0.002)	Loss 1.9816 (2.1924)	Prec@1 51.562 (44.755)	Prec@5 79.688 (75.297)
Epoch: [44][4380/14090]	Time 0.876 (0.768)	Data 0.001 (0.002)	Loss 2.0745 (2.1923)	Prec@1 51.562 (44.756)	Prec@5 78.125 (75.297)
Epoch: [44][4390/14090]	Time 0.737 (0.768)	Data 0.001 (0.002)	Loss 1.8998 (2.1924)	Prec@1 51.562 (44.757)	Prec@5 82.031 (75.298)
Epoch: [44][4400/14090]	Time 0.727 (0.768)	Data 0.001 (0.002)	Loss 1.9390 (2.1924)	Prec@1 54.688 (44.761)	Prec@5 82.031 (75.296)
Epoch: [44][4410/14090]	Time 0.777 (0.768)	Data 0.001 (0.002)	Loss 2.3982 (2.1925)	Prec@1 42.969 (44.760)	Prec@5 67.188 (75.292)
Epoch: [44][4420/14090]	Time 0.733 (0.768)	Data 0.001 (0.002)	Loss 2.3799 (2.1926)	Prec@1 43.750 (44.758)	Prec@5 66.406 (75.287)
Epoch: [44][4430/14090]	Time 0.754 (0.768)	Data 0.001 (0.002)	Loss 2.1926 (2.1926)	Prec@1 48.438 (44.763)	Prec@5 75.781 (75.289)
Epoch: [44][4440/14090]	Time 0.747 (0.768)	Data 0.001 (0.002)	Loss 2.0624 (2.1926)	Prec@1 46.094 (44.762)	Prec@5 74.219 (75.291)
Epoch: [44][4450/14090]	Time 0.828 (0.768)	Data 0.001 (0.002)	Loss 2.4175 (2.1927)	Prec@1 45.312 (44.761)	Prec@5 76.562 (75.290)
Epoch: [44][4460/14090]	Time 0.767 (0.768)	Data 0.001 (0.002)	Loss 2.1814 (2.1929)	Prec@1 45.312 (44.760)	Prec@5 75.000 (75.285)
Epoch: [44][4470/14090]	Time 0.728 (0.768)	Data 0.001 (0.002)	Loss 2.3946 (2.1929)	Prec@1 42.188 (44.759)	Prec@5 70.312 (75.285)
Epoch: [44][4480/14090]	Time 0.742 (0.768)	Data 0.002 (0.002)	Loss 2.3904 (2.1930)	Prec@1 39.844 (44.758)	Prec@5 71.094 (75.281)
Epoch: [44][4490/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 2.3610 (2.1930)	Prec@1 40.625 (44.753)	Prec@5 67.969 (75.279)
Epoch: [44][4500/14090]	Time 0.726 (0.768)	Data 0.001 (0.002)	Loss 2.0846 (2.1929)	Prec@1 48.438 (44.754)	Prec@5 77.344 (75.281)
Epoch: [44][4510/14090]	Time 0.757 (0.767)	Data 0.001 (0.002)	Loss 2.3569 (2.1929)	Prec@1 38.281 (44.752)	Prec@5 73.438 (75.284)
Epoch: [44][4520/14090]	Time 0.884 (0.768)	Data 0.001 (0.002)	Loss 2.1330 (2.1929)	Prec@1 42.188 (44.752)	Prec@5 78.125 (75.285)
Epoch: [44][4530/14090]	Time 0.723 (0.767)	Data 0.001 (0.002)	Loss 2.3409 (2.1930)	Prec@1 43.750 (44.747)	Prec@5 73.438 (75.284)
Epoch: [44][4540/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.0580 (2.1932)	Prec@1 47.656 (44.744)	Prec@5 78.125 (75.279)
Epoch: [44][4550/14090]	Time 0.722 (0.767)	Data 0.001 (0.002)	Loss 2.1540 (2.1931)	Prec@1 47.656 (44.742)	Prec@5 75.781 (75.278)
Epoch: [44][4560/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 2.4086 (2.1932)	Prec@1 39.844 (44.740)	Prec@5 72.656 (75.279)
Epoch: [44][4570/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 2.2004 (2.1931)	Prec@1 44.531 (44.744)	Prec@5 75.000 (75.279)
Epoch: [44][4580/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.3602 (2.1931)	Prec@1 42.188 (44.744)	Prec@5 73.438 (75.278)
Epoch: [44][4590/14090]	Time 0.824 (0.767)	Data 0.001 (0.002)	Loss 2.4147 (2.1932)	Prec@1 44.531 (44.747)	Prec@5 68.750 (75.277)
Epoch: [44][4600/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.2156 (2.1932)	Prec@1 50.000 (44.746)	Prec@5 72.656 (75.277)
Epoch: [44][4610/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 2.4464 (2.1933)	Prec@1 39.844 (44.742)	Prec@5 74.219 (75.277)
Epoch: [44][4620/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 2.3992 (2.1933)	Prec@1 42.188 (44.742)	Prec@5 70.312 (75.274)
Epoch: [44][4630/14090]	Time 0.769 (0.767)	Data 0.001 (0.002)	Loss 2.1042 (2.1934)	Prec@1 46.094 (44.739)	Prec@5 77.344 (75.272)
Epoch: [44][4640/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 2.2451 (2.1933)	Prec@1 47.656 (44.739)	Prec@5 75.000 (75.272)
Epoch: [44][4650/14090]	Time 0.725 (0.767)	Data 0.001 (0.002)	Loss 2.1047 (2.1935)	Prec@1 46.094 (44.735)	Prec@5 77.344 (75.269)
Epoch: [44][4660/14090]	Time 0.861 (0.767)	Data 0.001 (0.002)	Loss 2.5230 (2.1935)	Prec@1 39.062 (44.736)	Prec@5 69.531 (75.270)
Epoch: [44][4670/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.1321 (2.1935)	Prec@1 47.656 (44.737)	Prec@5 74.219 (75.269)
Epoch: [44][4680/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 2.2226 (2.1935)	Prec@1 42.188 (44.736)	Prec@5 78.906 (75.268)
Epoch: [44][4690/14090]	Time 0.773 (0.767)	Data 0.001 (0.002)	Loss 2.2839 (2.1935)	Prec@1 42.188 (44.737)	Prec@5 71.094 (75.269)
Epoch: [44][4700/14090]	Time 0.761 (0.767)	Data 0.001 (0.002)	Loss 2.3049 (2.1934)	Prec@1 37.500 (44.735)	Prec@5 73.438 (75.269)
Epoch: [44][4710/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 2.4556 (2.1933)	Prec@1 37.500 (44.737)	Prec@5 74.219 (75.273)
Epoch: [44][4720/14090]	Time 0.776 (0.767)	Data 0.001 (0.002)	Loss 2.3366 (2.1932)	Prec@1 39.844 (44.738)	Prec@5 71.875 (75.273)
Epoch: [44][4730/14090]	Time 0.848 (0.767)	Data 0.001 (0.002)	Loss 2.2266 (2.1932)	Prec@1 42.969 (44.737)	Prec@5 71.094 (75.272)
Epoch: [44][4740/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 2.1118 (2.1931)	Prec@1 43.750 (44.738)	Prec@5 74.219 (75.276)
Epoch: [44][4750/14090]	Time 0.722 (0.767)	Data 0.001 (0.002)	Loss 2.0137 (2.1932)	Prec@1 44.531 (44.737)	Prec@5 80.469 (75.271)
Epoch: [44][4760/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 2.2590 (2.1931)	Prec@1 35.938 (44.735)	Prec@5 74.219 (75.273)
Epoch: [44][4770/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 2.1339 (2.1931)	Prec@1 45.312 (44.737)	Prec@5 71.875 (75.271)
Epoch: [44][4780/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 2.1770 (2.1931)	Prec@1 43.750 (44.737)	Prec@5 78.125 (75.271)
Epoch: [44][4790/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 1.9101 (2.1931)	Prec@1 53.906 (44.736)	Prec@5 81.250 (75.271)
Epoch: [44][4800/14090]	Time 0.887 (0.767)	Data 0.001 (0.002)	Loss 2.5662 (2.1931)	Prec@1 34.375 (44.738)	Prec@5 66.406 (75.270)
Epoch: [44][4810/14090]	Time 0.728 (0.767)	Data 0.001 (0.002)	Loss 2.1376 (2.1932)	Prec@1 46.094 (44.736)	Prec@5 77.344 (75.271)
Epoch: [44][4820/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 2.4019 (2.1934)	Prec@1 41.406 (44.731)	Prec@5 67.969 (75.265)
Epoch: [44][4830/14090]	Time 0.769 (0.767)	Data 0.001 (0.002)	Loss 2.1721 (2.1932)	Prec@1 43.750 (44.732)	Prec@5 75.781 (75.267)
Epoch: [44][4840/14090]	Time 0.771 (0.767)	Data 0.001 (0.002)	Loss 1.9545 (2.1930)	Prec@1 51.562 (44.736)	Prec@5 80.469 (75.273)
Epoch: [44][4850/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 2.2971 (2.1932)	Prec@1 45.312 (44.735)	Prec@5 72.656 (75.270)
Epoch: [44][4860/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 2.2938 (2.1933)	Prec@1 37.500 (44.731)	Prec@5 75.000 (75.267)
Epoch: [44][4870/14090]	Time 0.853 (0.767)	Data 0.001 (0.002)	Loss 2.3797 (2.1933)	Prec@1 39.062 (44.733)	Prec@5 71.094 (75.265)
Epoch: [44][4880/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 2.4745 (2.1933)	Prec@1 42.969 (44.733)	Prec@5 66.406 (75.264)
Epoch: [44][4890/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 2.2693 (2.1933)	Prec@1 39.062 (44.733)	Prec@5 74.219 (75.265)
Epoch: [44][4900/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 2.0812 (2.1933)	Prec@1 42.188 (44.734)	Prec@5 76.562 (75.267)
Epoch: [44][4910/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 1.9008 (2.1933)	Prec@1 46.875 (44.734)	Prec@5 79.688 (75.268)
Epoch: [44][4920/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 1.9896 (2.1932)	Prec@1 47.656 (44.736)	Prec@5 78.125 (75.268)
Epoch: [44][4930/14090]	Time 0.766 (0.767)	Data 0.001 (0.002)	Loss 2.2934 (2.1932)	Prec@1 43.750 (44.737)	Prec@5 75.000 (75.269)
Epoch: [44][4940/14090]	Time 0.857 (0.767)	Data 0.001 (0.002)	Loss 1.9441 (2.1929)	Prec@1 51.562 (44.740)	Prec@5 79.688 (75.272)
Epoch: [44][4950/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 2.6086 (2.1930)	Prec@1 37.500 (44.738)	Prec@5 66.406 (75.268)
Epoch: [44][4960/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 2.2212 (2.1931)	Prec@1 41.406 (44.736)	Prec@5 75.781 (75.270)
Epoch: [44][4970/14090]	Time 0.781 (0.767)	Data 0.001 (0.002)	Loss 2.2781 (2.1932)	Prec@1 50.000 (44.731)	Prec@5 72.656 (75.270)
Epoch: [44][4980/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 2.0080 (2.1933)	Prec@1 49.219 (44.728)	Prec@5 78.906 (75.267)
Epoch: [44][4990/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 2.2614 (2.1932)	Prec@1 47.656 (44.730)	Prec@5 71.094 (75.268)
Epoch: [44][5000/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 2.0690 (2.1931)	Prec@1 48.438 (44.729)	Prec@5 77.344 (75.269)
Epoch: [44][5010/14090]	Time 0.881 (0.767)	Data 0.001 (0.002)	Loss 2.1690 (2.1931)	Prec@1 41.406 (44.728)	Prec@5 75.781 (75.270)
Epoch: [44][5020/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 2.1896 (2.1933)	Prec@1 45.312 (44.726)	Prec@5 71.875 (75.265)
Epoch: [44][5030/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 2.1716 (2.1933)	Prec@1 44.531 (44.725)	Prec@5 79.688 (75.266)
Epoch: [44][5040/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 2.4157 (2.1933)	Prec@1 35.938 (44.722)	Prec@5 72.656 (75.266)
Epoch: [44][5050/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 2.2411 (2.1934)	Prec@1 46.094 (44.719)	Prec@5 76.562 (75.266)
Epoch: [44][5060/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 2.1913 (2.1936)	Prec@1 42.188 (44.719)	Prec@5 78.906 (75.261)
Epoch: [44][5070/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 2.0274 (2.1936)	Prec@1 43.750 (44.720)	Prec@5 78.906 (75.262)
Epoch: [44][5080/14090]	Time 0.837 (0.767)	Data 0.001 (0.002)	Loss 2.1442 (2.1936)	Prec@1 46.094 (44.718)	Prec@5 77.344 (75.261)
Epoch: [44][5090/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 2.4598 (2.1936)	Prec@1 39.062 (44.716)	Prec@5 71.094 (75.261)
Epoch: [44][5100/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 2.6899 (2.1937)	Prec@1 39.062 (44.719)	Prec@5 66.406 (75.258)
Epoch: [44][5110/14090]	Time 0.764 (0.767)	Data 0.001 (0.002)	Loss 2.1890 (2.1938)	Prec@1 45.312 (44.717)	Prec@5 75.781 (75.257)
Epoch: [44][5120/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.3163 (2.1939)	Prec@1 44.531 (44.712)	Prec@5 73.438 (75.256)
Epoch: [44][5130/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 2.4518 (2.1940)	Prec@1 38.281 (44.710)	Prec@5 68.750 (75.255)
Epoch: [44][5140/14090]	Time 0.723 (0.767)	Data 0.001 (0.002)	Loss 1.9916 (2.1941)	Prec@1 49.219 (44.704)	Prec@5 76.562 (75.253)
Epoch: [44][5150/14090]	Time 0.873 (0.767)	Data 0.001 (0.002)	Loss 2.3649 (2.1942)	Prec@1 43.750 (44.703)	Prec@5 67.969 (75.249)
Epoch: [44][5160/14090]	Time 0.761 (0.767)	Data 0.001 (0.002)	Loss 2.1545 (2.1942)	Prec@1 43.750 (44.704)	Prec@5 74.219 (75.249)
Epoch: [44][5170/14090]	Time 0.728 (0.767)	Data 0.001 (0.002)	Loss 2.1767 (2.1943)	Prec@1 49.219 (44.699)	Prec@5 77.344 (75.250)
Epoch: [44][5180/14090]	Time 0.720 (0.767)	Data 0.001 (0.002)	Loss 2.2196 (2.1944)	Prec@1 42.188 (44.700)	Prec@5 71.875 (75.248)
Epoch: [44][5190/14090]	Time 0.727 (0.767)	Data 0.001 (0.002)	Loss 2.2803 (2.1943)	Prec@1 42.188 (44.702)	Prec@5 71.875 (75.248)
Epoch: [44][5200/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 2.2557 (2.1945)	Prec@1 40.625 (44.698)	Prec@5 73.438 (75.242)
Epoch: [44][5210/14090]	Time 0.766 (0.767)	Data 0.001 (0.002)	Loss 2.0110 (2.1944)	Prec@1 45.312 (44.701)	Prec@5 81.250 (75.243)
Epoch: [44][5220/14090]	Time 0.844 (0.767)	Data 0.001 (0.002)	Loss 1.9838 (2.1946)	Prec@1 49.219 (44.696)	Prec@5 74.219 (75.239)
Epoch: [44][5230/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 2.4682 (2.1946)	Prec@1 38.281 (44.699)	Prec@5 70.312 (75.241)
Epoch: [44][5240/14090]	Time 0.731 (0.767)	Data 0.001 (0.002)	Loss 2.1979 (2.1946)	Prec@1 45.312 (44.700)	Prec@5 73.438 (75.241)
Epoch: [44][5250/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 2.1235 (2.1945)	Prec@1 48.438 (44.703)	Prec@5 72.656 (75.242)
Epoch: [44][5260/14090]	Time 0.760 (0.767)	Data 0.001 (0.002)	Loss 2.0246 (2.1945)	Prec@1 44.531 (44.702)	Prec@5 77.344 (75.242)
Epoch: [44][5270/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 2.2758 (2.1946)	Prec@1 43.750 (44.701)	Prec@5 74.219 (75.243)
Epoch: [44][5280/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 2.3563 (2.1946)	Prec@1 38.281 (44.700)	Prec@5 77.344 (75.241)
Epoch: [44][5290/14090]	Time 0.859 (0.767)	Data 0.001 (0.002)	Loss 2.1903 (2.1946)	Prec@1 48.438 (44.698)	Prec@5 79.688 (75.242)
Epoch: [44][5300/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 1.8661 (2.1945)	Prec@1 49.219 (44.700)	Prec@5 83.594 (75.246)
Epoch: [44][5310/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 2.1415 (2.1945)	Prec@1 41.406 (44.704)	Prec@5 79.688 (75.244)
Epoch: [44][5320/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.2264 (2.1944)	Prec@1 38.281 (44.707)	Prec@5 75.781 (75.248)
Epoch: [44][5330/14090]	Time 0.761 (0.767)	Data 0.001 (0.002)	Loss 2.4631 (2.1943)	Prec@1 42.188 (44.708)	Prec@5 67.188 (75.247)
Epoch: [44][5340/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.6183 (2.1946)	Prec@1 41.406 (44.703)	Prec@5 64.844 (75.243)
Epoch: [44][5350/14090]	Time 0.755 (0.767)	Data 0.002 (0.002)	Loss 1.9976 (2.1945)	Prec@1 43.750 (44.704)	Prec@5 78.125 (75.246)
Epoch: [44][5360/14090]	Time 0.876 (0.767)	Data 0.001 (0.002)	Loss 1.9081 (2.1945)	Prec@1 48.438 (44.706)	Prec@5 80.469 (75.244)
Epoch: [44][5370/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 2.1178 (2.1947)	Prec@1 45.312 (44.702)	Prec@5 78.906 (75.241)
Epoch: [44][5380/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 2.1256 (2.1947)	Prec@1 50.000 (44.702)	Prec@5 75.781 (75.241)
Epoch: [44][5390/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 2.0410 (2.1947)	Prec@1 50.000 (44.703)	Prec@5 75.000 (75.239)
Epoch: [44][5400/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 2.2307 (2.1947)	Prec@1 45.312 (44.705)	Prec@5 78.906 (75.240)
Epoch: [44][5410/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 2.2214 (2.1946)	Prec@1 43.750 (44.708)	Prec@5 77.344 (75.243)
Epoch: [44][5420/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 2.2255 (2.1946)	Prec@1 45.312 (44.709)	Prec@5 75.000 (75.246)
Epoch: [44][5430/14090]	Time 0.874 (0.767)	Data 0.001 (0.002)	Loss 1.9892 (2.1944)	Prec@1 47.656 (44.715)	Prec@5 77.344 (75.250)
Epoch: [44][5440/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 1.9872 (2.1944)	Prec@1 46.875 (44.715)	Prec@5 80.469 (75.248)
Epoch: [44][5450/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 2.3983 (2.1943)	Prec@1 38.281 (44.718)	Prec@5 70.312 (75.251)
Epoch: [44][5460/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 1.7711 (2.1944)	Prec@1 55.469 (44.717)	Prec@5 85.156 (75.254)
Epoch: [44][5470/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.1095 (2.1942)	Prec@1 44.531 (44.719)	Prec@5 76.562 (75.257)
Epoch: [44][5480/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 2.0645 (2.1943)	Prec@1 49.219 (44.719)	Prec@5 80.469 (75.255)
Epoch: [44][5490/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 2.1329 (2.1943)	Prec@1 47.656 (44.721)	Prec@5 79.688 (75.254)
Epoch: [44][5500/14090]	Time 0.869 (0.767)	Data 0.001 (0.002)	Loss 2.1191 (2.1944)	Prec@1 42.188 (44.719)	Prec@5 78.906 (75.249)
Epoch: [44][5510/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 2.0436 (2.1943)	Prec@1 49.219 (44.721)	Prec@5 80.469 (75.251)
Epoch: [44][5520/14090]	Time 0.782 (0.767)	Data 0.001 (0.002)	Loss 2.1617 (2.1943)	Prec@1 46.094 (44.721)	Prec@5 77.344 (75.255)
Epoch: [44][5530/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 2.2394 (2.1942)	Prec@1 49.219 (44.720)	Prec@5 74.219 (75.257)
Epoch: [44][5540/14090]	Time 0.771 (0.767)	Data 0.001 (0.002)	Loss 2.4021 (2.1942)	Prec@1 43.750 (44.721)	Prec@5 70.312 (75.258)
Epoch: [44][5550/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 2.1121 (2.1942)	Prec@1 50.781 (44.722)	Prec@5 73.438 (75.257)
Epoch: [44][5560/14090]	Time 0.768 (0.767)	Data 0.001 (0.002)	Loss 1.7078 (2.1942)	Prec@1 57.812 (44.726)	Prec@5 85.156 (75.257)
Epoch: [44][5570/14090]	Time 0.854 (0.767)	Data 0.001 (0.002)	Loss 2.1206 (2.1941)	Prec@1 46.094 (44.725)	Prec@5 71.094 (75.259)
Epoch: [44][5580/14090]	Time 0.765 (0.767)	Data 0.001 (0.002)	Loss 2.2615 (2.1941)	Prec@1 47.656 (44.728)	Prec@5 70.312 (75.258)
Epoch: [44][5590/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 2.1728 (2.1941)	Prec@1 44.531 (44.725)	Prec@5 70.312 (75.258)
Epoch: [44][5600/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 2.0006 (2.1942)	Prec@1 46.875 (44.727)	Prec@5 78.906 (75.257)
Epoch: [44][5610/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 2.2727 (2.1941)	Prec@1 41.406 (44.726)	Prec@5 71.094 (75.257)
Epoch: [44][5620/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 2.0662 (2.1940)	Prec@1 42.969 (44.728)	Prec@5 75.000 (75.258)
Epoch: [44][5630/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 1.9822 (2.1940)	Prec@1 49.219 (44.729)	Prec@5 78.906 (75.260)
Epoch: [44][5640/14090]	Time 0.906 (0.767)	Data 0.001 (0.002)	Loss 2.0579 (2.1939)	Prec@1 46.094 (44.730)	Prec@5 75.000 (75.262)
Epoch: [44][5650/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 2.1443 (2.1938)	Prec@1 46.875 (44.733)	Prec@5 76.562 (75.265)
Epoch: [44][5660/14090]	Time 0.722 (0.767)	Data 0.001 (0.002)	Loss 2.1590 (2.1938)	Prec@1 46.094 (44.733)	Prec@5 75.781 (75.267)
Epoch: [44][5670/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 2.3479 (2.1938)	Prec@1 38.281 (44.731)	Prec@5 71.875 (75.264)
Epoch: [44][5680/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 2.1112 (2.1940)	Prec@1 46.094 (44.729)	Prec@5 77.344 (75.263)
Epoch: [44][5690/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 2.3158 (2.1940)	Prec@1 43.750 (44.729)	Prec@5 75.000 (75.263)
Epoch: [44][5700/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 2.0522 (2.1939)	Prec@1 47.656 (44.729)	Prec@5 78.906 (75.263)
Epoch: [44][5710/14090]	Time 0.888 (0.767)	Data 0.001 (0.002)	Loss 2.1611 (2.1938)	Prec@1 46.875 (44.728)	Prec@5 75.781 (75.262)
Epoch: [44][5720/14090]	Time 0.774 (0.767)	Data 0.001 (0.002)	Loss 2.3448 (2.1939)	Prec@1 36.719 (44.725)	Prec@5 73.438 (75.261)
Epoch: [44][5730/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 2.1148 (2.1940)	Prec@1 38.281 (44.721)	Prec@5 79.688 (75.258)
Epoch: [44][5740/14090]	Time 0.775 (0.767)	Data 0.001 (0.002)	Loss 1.9570 (2.1938)	Prec@1 46.094 (44.725)	Prec@5 80.469 (75.259)
Epoch: [44][5750/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.2512 (2.1938)	Prec@1 48.438 (44.726)	Prec@5 75.000 (75.259)
Epoch: [44][5760/14090]	Time 0.763 (0.767)	Data 0.001 (0.002)	Loss 2.2104 (2.1939)	Prec@1 39.844 (44.725)	Prec@5 72.656 (75.259)
Epoch: [44][5770/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 2.0232 (2.1938)	Prec@1 46.094 (44.729)	Prec@5 75.781 (75.260)
Epoch: [44][5780/14090]	Time 0.851 (0.767)	Data 0.001 (0.002)	Loss 2.2364 (2.1938)	Prec@1 48.438 (44.731)	Prec@5 74.219 (75.262)
Epoch: [44][5790/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 2.3417 (2.1939)	Prec@1 47.656 (44.729)	Prec@5 71.094 (75.261)
Epoch: [44][5800/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 2.1685 (2.1940)	Prec@1 48.438 (44.728)	Prec@5 78.125 (75.261)
Epoch: [44][5810/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 1.9596 (2.1940)	Prec@1 50.000 (44.726)	Prec@5 75.000 (75.259)
Epoch: [44][5820/14090]	Time 0.757 (0.767)	Data 0.001 (0.002)	Loss 2.0327 (2.1940)	Prec@1 46.094 (44.729)	Prec@5 80.469 (75.258)
Epoch: [44][5830/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 2.1519 (2.1941)	Prec@1 49.219 (44.728)	Prec@5 78.125 (75.256)
Epoch: [44][5840/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 2.4564 (2.1942)	Prec@1 36.719 (44.723)	Prec@5 75.000 (75.254)
Epoch: [44][5850/14090]	Time 0.868 (0.767)	Data 0.001 (0.002)	Loss 2.2957 (2.1942)	Prec@1 46.094 (44.726)	Prec@5 72.656 (75.254)
Epoch: [44][5860/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 2.2588 (2.1941)	Prec@1 41.406 (44.727)	Prec@5 71.094 (75.255)
Epoch: [44][5870/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 2.0315 (2.1940)	Prec@1 53.125 (44.727)	Prec@5 78.125 (75.255)
Epoch: [44][5880/14090]	Time 0.780 (0.767)	Data 0.001 (0.002)	Loss 1.8074 (2.1941)	Prec@1 53.906 (44.726)	Prec@5 82.812 (75.254)
Epoch: [44][5890/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 2.1177 (2.1940)	Prec@1 43.750 (44.727)	Prec@5 78.906 (75.256)
Epoch: [44][5900/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.1241 (2.1941)	Prec@1 47.656 (44.729)	Prec@5 76.562 (75.254)
Epoch: [44][5910/14090]	Time 0.780 (0.767)	Data 0.001 (0.002)	Loss 1.9270 (2.1940)	Prec@1 51.562 (44.731)	Prec@5 81.250 (75.257)
Epoch: [44][5920/14090]	Time 0.886 (0.767)	Data 0.001 (0.002)	Loss 2.0915 (2.1939)	Prec@1 50.781 (44.734)	Prec@5 79.688 (75.260)
Epoch: [44][5930/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 2.1839 (2.1941)	Prec@1 48.438 (44.732)	Prec@5 75.000 (75.258)
Epoch: [44][5940/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 2.0665 (2.1941)	Prec@1 39.844 (44.729)	Prec@5 78.906 (75.260)
Epoch: [44][5950/14090]	Time 0.757 (0.767)	Data 0.001 (0.002)	Loss 2.5595 (2.1942)	Prec@1 36.719 (44.722)	Prec@5 71.094 (75.258)
Epoch: [44][5960/14090]	Time 0.725 (0.767)	Data 0.001 (0.002)	Loss 1.8593 (2.1941)	Prec@1 53.906 (44.725)	Prec@5 79.688 (75.260)
Epoch: [44][5970/14090]	Time 0.767 (0.767)	Data 0.001 (0.002)	Loss 2.0362 (2.1940)	Prec@1 47.656 (44.731)	Prec@5 82.812 (75.265)
Epoch: [44][5980/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 2.2383 (2.1940)	Prec@1 44.531 (44.731)	Prec@5 74.219 (75.267)
Epoch: [44][5990/14090]	Time 0.897 (0.767)	Data 0.001 (0.002)	Loss 2.1937 (2.1940)	Prec@1 47.656 (44.730)	Prec@5 74.219 (75.269)
Epoch: [44][6000/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 2.1993 (2.1941)	Prec@1 41.406 (44.728)	Prec@5 80.469 (75.270)
Epoch: [44][6010/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 2.2069 (2.1942)	Prec@1 46.094 (44.726)	Prec@5 75.781 (75.266)
Epoch: [44][6020/14090]	Time 0.779 (0.767)	Data 0.001 (0.002)	Loss 2.1068 (2.1942)	Prec@1 46.094 (44.725)	Prec@5 78.125 (75.264)
Epoch: [44][6030/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 2.1151 (2.1941)	Prec@1 47.656 (44.726)	Prec@5 75.781 (75.264)
Epoch: [44][6040/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 2.4517 (2.1941)	Prec@1 40.625 (44.724)	Prec@5 73.438 (75.265)
Epoch: [44][6050/14090]	Time 0.776 (0.767)	Data 0.001 (0.002)	Loss 2.1435 (2.1940)	Prec@1 42.188 (44.724)	Prec@5 79.688 (75.270)
Epoch: [44][6060/14090]	Time 0.882 (0.767)	Data 0.001 (0.002)	Loss 2.2591 (2.1941)	Prec@1 37.500 (44.719)	Prec@5 74.219 (75.267)
Epoch: [44][6070/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 2.1995 (2.1942)	Prec@1 42.969 (44.718)	Prec@5 74.219 (75.267)
Epoch: [44][6080/14090]	Time 0.763 (0.767)	Data 0.001 (0.002)	Loss 2.1293 (2.1942)	Prec@1 44.531 (44.717)	Prec@5 75.781 (75.267)
Epoch: [44][6090/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 2.2779 (2.1941)	Prec@1 41.406 (44.716)	Prec@5 72.656 (75.270)
Epoch: [44][6100/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 2.0624 (2.1942)	Prec@1 43.750 (44.713)	Prec@5 79.688 (75.269)
Epoch: [44][6110/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.3764 (2.1942)	Prec@1 46.094 (44.712)	Prec@5 75.000 (75.270)
Epoch: [44][6120/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.6752 (2.1944)	Prec@1 28.125 (44.708)	Prec@5 68.750 (75.266)
Epoch: [44][6130/14090]	Time 0.863 (0.767)	Data 0.001 (0.002)	Loss 2.1840 (2.1946)	Prec@1 39.844 (44.703)	Prec@5 76.562 (75.262)
Epoch: [44][6140/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 2.4477 (2.1947)	Prec@1 46.875 (44.701)	Prec@5 70.312 (75.261)
Epoch: [44][6150/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 2.3603 (2.1948)	Prec@1 39.062 (44.699)	Prec@5 71.094 (75.259)
Epoch: [44][6160/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.1376 (2.1948)	Prec@1 47.656 (44.698)	Prec@5 72.656 (75.256)
Epoch: [44][6170/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 1.9190 (2.1948)	Prec@1 46.094 (44.698)	Prec@5 79.688 (75.258)
Epoch: [44][6180/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 2.1785 (2.1947)	Prec@1 41.406 (44.700)	Prec@5 80.469 (75.258)
Epoch: [44][6190/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 2.3793 (2.1948)	Prec@1 37.500 (44.701)	Prec@5 70.312 (75.259)
Epoch: [44][6200/14090]	Time 0.917 (0.767)	Data 0.001 (0.002)	Loss 2.0684 (2.1949)	Prec@1 45.312 (44.696)	Prec@5 79.688 (75.259)
Epoch: [44][6210/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 2.2916 (2.1949)	Prec@1 37.500 (44.696)	Prec@5 77.344 (75.258)
Epoch: [44][6220/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 2.4767 (2.1949)	Prec@1 36.719 (44.696)	Prec@5 64.062 (75.256)
Epoch: [44][6230/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 2.1216 (2.1949)	Prec@1 45.312 (44.695)	Prec@5 80.469 (75.258)
Epoch: [44][6240/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 2.1579 (2.1949)	Prec@1 42.969 (44.692)	Prec@5 78.906 (75.256)
Epoch: [44][6250/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 2.4775 (2.1951)	Prec@1 34.375 (44.689)	Prec@5 72.656 (75.253)
Epoch: [44][6260/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.4129 (2.1951)	Prec@1 42.188 (44.686)	Prec@5 74.219 (75.252)
Epoch: [44][6270/14090]	Time 0.839 (0.767)	Data 0.001 (0.002)	Loss 2.1501 (2.1953)	Prec@1 43.750 (44.683)	Prec@5 78.906 (75.251)
Epoch: [44][6280/14090]	Time 0.774 (0.767)	Data 0.001 (0.002)	Loss 2.0955 (2.1952)	Prec@1 46.094 (44.683)	Prec@5 76.562 (75.251)
Epoch: [44][6290/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.2582 (2.1954)	Prec@1 40.625 (44.679)	Prec@5 72.656 (75.249)
Epoch: [44][6300/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 1.9466 (2.1953)	Prec@1 46.094 (44.680)	Prec@5 78.906 (75.251)
Epoch: [44][6310/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 2.4416 (2.1954)	Prec@1 40.625 (44.682)	Prec@5 76.562 (75.251)
Epoch: [44][6320/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 2.1731 (2.1954)	Prec@1 39.844 (44.681)	Prec@5 76.562 (75.251)
Epoch: [44][6330/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 2.0785 (2.1955)	Prec@1 44.531 (44.680)	Prec@5 81.250 (75.251)
Epoch: [44][6340/14090]	Time 0.977 (0.767)	Data 0.001 (0.002)	Loss 2.1648 (2.1955)	Prec@1 45.312 (44.680)	Prec@5 77.344 (75.250)
Epoch: [44][6350/14090]	Time 0.769 (0.767)	Data 0.001 (0.002)	Loss 2.1433 (2.1955)	Prec@1 43.750 (44.681)	Prec@5 77.344 (75.249)
Epoch: [44][6360/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 2.2475 (2.1956)	Prec@1 51.562 (44.679)	Prec@5 76.562 (75.249)
Epoch: [44][6370/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.2344 (2.1956)	Prec@1 41.406 (44.679)	Prec@5 73.438 (75.248)
Epoch: [44][6380/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 1.8802 (2.1955)	Prec@1 56.250 (44.681)	Prec@5 80.469 (75.249)
Epoch: [44][6390/14090]	Time 0.739 (0.767)	Data 0.002 (0.002)	Loss 1.9467 (2.1954)	Prec@1 46.875 (44.682)	Prec@5 86.719 (75.252)
Epoch: [44][6400/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 2.1123 (2.1951)	Prec@1 46.875 (44.689)	Prec@5 78.125 (75.256)
Epoch: [44][6410/14090]	Time 0.868 (0.767)	Data 0.001 (0.002)	Loss 2.0171 (2.1951)	Prec@1 51.562 (44.691)	Prec@5 78.906 (75.256)
Epoch: [44][6420/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 2.1191 (2.1952)	Prec@1 39.844 (44.687)	Prec@5 80.469 (75.255)
Epoch: [44][6430/14090]	Time 0.731 (0.767)	Data 0.001 (0.002)	Loss 1.8446 (2.1952)	Prec@1 52.344 (44.692)	Prec@5 80.469 (75.254)
Epoch: [44][6440/14090]	Time 0.775 (0.767)	Data 0.001 (0.002)	Loss 2.3315 (2.1954)	Prec@1 41.406 (44.690)	Prec@5 73.438 (75.250)
Epoch: [44][6450/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.3953 (2.1954)	Prec@1 42.969 (44.689)	Prec@5 71.094 (75.250)
Epoch: [44][6460/14090]	Time 0.762 (0.767)	Data 0.001 (0.002)	Loss 2.1985 (2.1954)	Prec@1 50.781 (44.691)	Prec@5 77.344 (75.252)
Epoch: [44][6470/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 2.3357 (2.1953)	Prec@1 42.188 (44.692)	Prec@5 71.094 (75.253)
Epoch: [44][6480/14090]	Time 0.852 (0.767)	Data 0.001 (0.002)	Loss 2.2305 (2.1952)	Prec@1 46.875 (44.695)	Prec@5 77.344 (75.255)
Epoch: [44][6490/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 1.9148 (2.1953)	Prec@1 49.219 (44.694)	Prec@5 78.125 (75.251)
Epoch: [44][6500/14090]	Time 0.760 (0.767)	Data 0.001 (0.002)	Loss 1.9115 (2.1953)	Prec@1 49.219 (44.696)	Prec@5 81.250 (75.251)
Epoch: [44][6510/14090]	Time 0.725 (0.767)	Data 0.001 (0.002)	Loss 2.2935 (2.1953)	Prec@1 42.188 (44.696)	Prec@5 71.875 (75.251)
Epoch: [44][6520/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 2.4422 (2.1954)	Prec@1 41.406 (44.696)	Prec@5 70.312 (75.249)
Epoch: [44][6530/14090]	Time 0.767 (0.767)	Data 0.001 (0.002)	Loss 2.0537 (2.1953)	Prec@1 45.312 (44.699)	Prec@5 77.344 (75.251)
Epoch: [44][6540/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 2.3303 (2.1953)	Prec@1 39.062 (44.697)	Prec@5 72.656 (75.251)
Epoch: [44][6550/14090]	Time 0.944 (0.767)	Data 0.001 (0.002)	Loss 1.8475 (2.1953)	Prec@1 60.156 (44.700)	Prec@5 79.688 (75.253)
Epoch: [44][6560/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 2.5655 (2.1953)	Prec@1 40.625 (44.700)	Prec@5 65.625 (75.254)
Epoch: [44][6570/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.4454 (2.1952)	Prec@1 42.969 (44.703)	Prec@5 67.969 (75.257)
Epoch: [44][6580/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 2.3321 (2.1951)	Prec@1 41.406 (44.707)	Prec@5 75.781 (75.258)
Epoch: [44][6590/14090]	Time 0.765 (0.767)	Data 0.001 (0.002)	Loss 2.3856 (2.1952)	Prec@1 39.844 (44.705)	Prec@5 72.656 (75.257)
Epoch: [44][6600/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 2.0617 (2.1951)	Prec@1 45.312 (44.705)	Prec@5 78.906 (75.257)
Epoch: [44][6610/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 2.4975 (2.1950)	Prec@1 39.844 (44.705)	Prec@5 70.312 (75.257)
Epoch: [44][6620/14090]	Time 0.866 (0.767)	Data 0.001 (0.002)	Loss 2.3317 (2.1950)	Prec@1 47.656 (44.706)	Prec@5 72.656 (75.257)
Epoch: [44][6630/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 2.4690 (2.1950)	Prec@1 37.500 (44.707)	Prec@5 73.438 (75.258)
Epoch: [44][6640/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 2.2011 (2.1949)	Prec@1 46.875 (44.708)	Prec@5 78.125 (75.260)
Epoch: [44][6650/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.2539 (2.1950)	Prec@1 44.531 (44.708)	Prec@5 71.875 (75.261)
Epoch: [44][6660/14090]	Time 0.731 (0.767)	Data 0.001 (0.002)	Loss 2.0840 (2.1950)	Prec@1 50.781 (44.707)	Prec@5 78.906 (75.262)
Epoch: [44][6670/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 2.2351 (2.1950)	Prec@1 45.312 (44.708)	Prec@5 75.781 (75.259)
Epoch: [44][6680/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 2.0837 (2.1951)	Prec@1 53.125 (44.705)	Prec@5 76.562 (75.258)
Epoch: [44][6690/14090]	Time 0.921 (0.767)	Data 0.001 (0.002)	Loss 2.0338 (2.1952)	Prec@1 46.875 (44.705)	Prec@5 76.562 (75.256)
Epoch: [44][6700/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 2.2596 (2.1952)	Prec@1 47.656 (44.704)	Prec@5 74.219 (75.255)
Epoch: [44][6710/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 2.3767 (2.1951)	Prec@1 43.750 (44.706)	Prec@5 70.312 (75.256)
Epoch: [44][6720/14090]	Time 0.779 (0.767)	Data 0.001 (0.002)	Loss 2.2410 (2.1952)	Prec@1 42.969 (44.706)	Prec@5 75.781 (75.254)
Epoch: [44][6730/14090]	Time 0.780 (0.767)	Data 0.001 (0.002)	Loss 2.3217 (2.1951)	Prec@1 43.750 (44.709)	Prec@5 72.656 (75.255)
Epoch: [44][6740/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 2.1680 (2.1952)	Prec@1 46.875 (44.709)	Prec@5 77.344 (75.255)
Epoch: [44][6750/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 1.9266 (2.1952)	Prec@1 50.000 (44.710)	Prec@5 82.031 (75.253)
Epoch: [44][6760/14090]	Time 0.877 (0.767)	Data 0.001 (0.002)	Loss 2.3562 (2.1952)	Prec@1 40.625 (44.709)	Prec@5 75.000 (75.252)
Epoch: [44][6770/14090]	Time 0.731 (0.767)	Data 0.001 (0.002)	Loss 2.3866 (2.1952)	Prec@1 32.812 (44.709)	Prec@5 76.562 (75.253)
Epoch: [44][6780/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 2.3504 (2.1951)	Prec@1 42.188 (44.711)	Prec@5 69.531 (75.254)
Epoch: [44][6790/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 2.5095 (2.1952)	Prec@1 34.375 (44.709)	Prec@5 71.094 (75.253)
Epoch: [44][6800/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 2.3213 (2.1953)	Prec@1 42.188 (44.709)	Prec@5 74.219 (75.251)
Epoch: [44][6810/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 2.1781 (2.1953)	Prec@1 49.219 (44.710)	Prec@5 77.344 (75.251)
Epoch: [44][6820/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 2.2874 (2.1954)	Prec@1 40.625 (44.708)	Prec@5 72.656 (75.249)
Epoch: [44][6830/14090]	Time 0.899 (0.767)	Data 0.001 (0.002)	Loss 2.0371 (2.1954)	Prec@1 47.656 (44.709)	Prec@5 76.562 (75.250)
Epoch: [44][6840/14090]	Time 0.724 (0.767)	Data 0.001 (0.002)	Loss 2.0440 (2.1955)	Prec@1 52.344 (44.709)	Prec@5 78.125 (75.249)
Epoch: [44][6850/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 2.0545 (2.1954)	Prec@1 44.531 (44.710)	Prec@5 75.781 (75.250)
Epoch: [44][6860/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 2.0794 (2.1953)	Prec@1 44.531 (44.709)	Prec@5 75.000 (75.250)
Epoch: [44][6870/14090]	Time 0.763 (0.767)	Data 0.001 (0.002)	Loss 2.4556 (2.1955)	Prec@1 44.531 (44.705)	Prec@5 71.875 (75.244)
Epoch: [44][6880/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 2.0538 (2.1956)	Prec@1 51.562 (44.704)	Prec@5 78.125 (75.242)
Epoch: [44][6890/14090]	Time 0.760 (0.767)	Data 0.001 (0.002)	Loss 2.2052 (2.1957)	Prec@1 46.875 (44.702)	Prec@5 75.781 (75.242)
Epoch: [44][6900/14090]	Time 0.841 (0.767)	Data 0.001 (0.002)	Loss 2.1307 (2.1957)	Prec@1 46.875 (44.701)	Prec@5 74.219 (75.241)
Epoch: [44][6910/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 2.1795 (2.1957)	Prec@1 42.188 (44.701)	Prec@5 79.688 (75.243)
Epoch: [44][6920/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 2.0845 (2.1957)	Prec@1 48.438 (44.700)	Prec@5 74.219 (75.243)
Epoch: [44][6930/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 2.2378 (2.1958)	Prec@1 43.750 (44.696)	Prec@5 77.344 (75.242)
Epoch: [44][6940/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 2.1784 (2.1958)	Prec@1 46.875 (44.696)	Prec@5 70.312 (75.241)
Epoch: [44][6950/14090]	Time 0.763 (0.767)	Data 0.001 (0.002)	Loss 2.4541 (2.1960)	Prec@1 42.969 (44.692)	Prec@5 68.750 (75.237)
Epoch: [44][6960/14090]	Time 0.762 (0.767)	Data 0.001 (0.002)	Loss 2.0447 (2.1959)	Prec@1 50.000 (44.691)	Prec@5 80.469 (75.239)
Epoch: [44][6970/14090]	Time 0.881 (0.767)	Data 0.001 (0.002)	Loss 2.3612 (2.1960)	Prec@1 40.625 (44.692)	Prec@5 71.094 (75.238)
Epoch: [44][6980/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 2.1167 (2.1960)	Prec@1 46.875 (44.690)	Prec@5 79.688 (75.237)
Epoch: [44][6990/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 2.2338 (2.1961)	Prec@1 38.281 (44.687)	Prec@5 71.875 (75.236)
Epoch: [44][7000/14090]	Time 0.768 (0.767)	Data 0.001 (0.002)	Loss 2.2159 (2.1960)	Prec@1 40.625 (44.687)	Prec@5 72.656 (75.237)
Epoch: [44][7010/14090]	Time 0.728 (0.767)	Data 0.001 (0.002)	Loss 2.2647 (2.1960)	Prec@1 39.844 (44.687)	Prec@5 73.438 (75.236)
Epoch: [44][7020/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 2.2138 (2.1961)	Prec@1 39.844 (44.685)	Prec@5 75.000 (75.234)
Epoch: [44][7030/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 2.4064 (2.1961)	Prec@1 35.938 (44.685)	Prec@5 74.219 (75.232)
Epoch: [44][7040/14090]	Time 0.852 (0.767)	Data 0.001 (0.002)	Loss 2.0727 (2.1960)	Prec@1 49.219 (44.689)	Prec@5 78.906 (75.235)
Epoch: [44][7050/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 2.2922 (2.1960)	Prec@1 42.188 (44.688)	Prec@5 74.219 (75.235)
Epoch: [44][7060/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 2.1775 (2.1960)	Prec@1 41.406 (44.689)	Prec@5 73.438 (75.233)
Epoch: [44][7070/14090]	Time 0.766 (0.767)	Data 0.001 (0.002)	Loss 2.2656 (2.1961)	Prec@1 42.188 (44.687)	Prec@5 78.906 (75.232)
Epoch: [44][7080/14090]	Time 0.777 (0.767)	Data 0.001 (0.002)	Loss 2.1772 (2.1961)	Prec@1 48.438 (44.685)	Prec@5 73.438 (75.230)
Epoch: [44][7090/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 2.3400 (2.1962)	Prec@1 42.969 (44.682)	Prec@5 71.094 (75.229)
Epoch: [44][7100/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.0972 (2.1963)	Prec@1 50.000 (44.684)	Prec@5 73.438 (75.226)
Epoch: [44][7110/14090]	Time 0.867 (0.767)	Data 0.001 (0.002)	Loss 2.0859 (2.1962)	Prec@1 48.438 (44.688)	Prec@5 75.781 (75.229)
Epoch: [44][7120/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 2.3287 (2.1963)	Prec@1 42.188 (44.686)	Prec@5 74.219 (75.229)
Epoch: [44][7130/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 2.5166 (2.1963)	Prec@1 38.281 (44.685)	Prec@5 70.312 (75.228)
Epoch: [44][7140/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 2.2175 (2.1964)	Prec@1 44.531 (44.687)	Prec@5 71.094 (75.227)
Epoch: [44][7150/14090]	Time 0.780 (0.767)	Data 0.001 (0.002)	Loss 2.2583 (2.1964)	Prec@1 48.438 (44.688)	Prec@5 73.438 (75.228)
Epoch: [44][7160/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 2.1721 (2.1963)	Prec@1 42.188 (44.691)	Prec@5 75.781 (75.232)
Epoch: [44][7170/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 2.4271 (2.1964)	Prec@1 37.500 (44.686)	Prec@5 73.438 (75.230)
Epoch: [44][7180/14090]	Time 0.877 (0.767)	Data 0.001 (0.002)	Loss 1.9309 (2.1965)	Prec@1 49.219 (44.682)	Prec@5 78.125 (75.228)
Epoch: [44][7190/14090]	Time 0.731 (0.767)	Data 0.001 (0.002)	Loss 2.2193 (2.1965)	Prec@1 43.750 (44.681)	Prec@5 74.219 (75.227)
Epoch: [44][7200/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 2.3712 (2.1965)	Prec@1 39.844 (44.682)	Prec@5 71.875 (75.228)
Epoch: [44][7210/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 2.2158 (2.1964)	Prec@1 41.406 (44.684)	Prec@5 71.094 (75.231)
Epoch: [44][7220/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 2.3419 (2.1965)	Prec@1 40.625 (44.684)	Prec@5 69.531 (75.227)
Epoch: [44][7230/14090]	Time 0.724 (0.767)	Data 0.001 (0.002)	Loss 2.2775 (2.1966)	Prec@1 45.312 (44.682)	Prec@5 75.000 (75.226)
Epoch: [44][7240/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 2.5189 (2.1967)	Prec@1 37.500 (44.679)	Prec@5 65.625 (75.226)
Epoch: [44][7250/14090]	Time 0.855 (0.767)	Data 0.001 (0.002)	Loss 2.1654 (2.1966)	Prec@1 42.188 (44.681)	Prec@5 75.781 (75.229)
Epoch: [44][7260/14090]	Time 0.724 (0.766)	Data 0.001 (0.002)	Loss 2.4203 (2.1966)	Prec@1 40.625 (44.682)	Prec@5 69.531 (75.226)
Epoch: [44][7270/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 2.3464 (2.1966)	Prec@1 42.188 (44.680)	Prec@5 75.781 (75.226)
Epoch: [44][7280/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.2118 (2.1966)	Prec@1 46.094 (44.677)	Prec@5 75.781 (75.226)
Epoch: [44][7290/14090]	Time 0.777 (0.766)	Data 0.001 (0.002)	Loss 1.9526 (2.1966)	Prec@1 51.562 (44.678)	Prec@5 82.812 (75.229)
Epoch: [44][7300/14090]	Time 0.725 (0.766)	Data 0.001 (0.002)	Loss 2.1477 (2.1965)	Prec@1 47.656 (44.679)	Prec@5 76.562 (75.229)
Epoch: [44][7310/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.0775 (2.1966)	Prec@1 46.875 (44.677)	Prec@5 75.781 (75.228)
Epoch: [44][7320/14090]	Time 0.894 (0.766)	Data 0.001 (0.002)	Loss 2.0982 (2.1967)	Prec@1 43.750 (44.674)	Prec@5 78.125 (75.227)
Epoch: [44][7330/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 2.1356 (2.1967)	Prec@1 49.219 (44.670)	Prec@5 75.781 (75.227)
Epoch: [44][7340/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 2.1333 (2.1967)	Prec@1 47.656 (44.670)	Prec@5 76.562 (75.229)
Epoch: [44][7350/14090]	Time 0.767 (0.766)	Data 0.001 (0.002)	Loss 2.1959 (2.1965)	Prec@1 49.219 (44.674)	Prec@5 78.906 (75.232)
Epoch: [44][7360/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 1.9997 (2.1966)	Prec@1 52.344 (44.671)	Prec@5 78.125 (75.230)
Epoch: [44][7370/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.4861 (2.1967)	Prec@1 39.062 (44.669)	Prec@5 67.969 (75.227)
Epoch: [44][7380/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 2.1544 (2.1968)	Prec@1 45.312 (44.670)	Prec@5 76.562 (75.226)
Epoch: [44][7390/14090]	Time 0.844 (0.766)	Data 0.001 (0.002)	Loss 2.2863 (2.1968)	Prec@1 39.062 (44.667)	Prec@5 71.875 (75.224)
Epoch: [44][7400/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.0470 (2.1968)	Prec@1 54.688 (44.666)	Prec@5 76.562 (75.225)
Epoch: [44][7410/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.3372 (2.1968)	Prec@1 41.406 (44.664)	Prec@5 67.969 (75.224)
Epoch: [44][7420/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 2.4740 (2.1968)	Prec@1 36.719 (44.663)	Prec@5 71.094 (75.226)
Epoch: [44][7430/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.1435 (2.1967)	Prec@1 40.625 (44.663)	Prec@5 78.125 (75.227)
Epoch: [44][7440/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 2.1127 (2.1968)	Prec@1 46.094 (44.662)	Prec@5 78.125 (75.225)
Epoch: [44][7450/14090]	Time 0.771 (0.766)	Data 0.001 (0.002)	Loss 2.2326 (2.1969)	Prec@1 47.656 (44.663)	Prec@5 76.562 (75.223)
Epoch: [44][7460/14090]	Time 0.852 (0.766)	Data 0.001 (0.002)	Loss 2.2145 (2.1968)	Prec@1 39.844 (44.664)	Prec@5 73.438 (75.225)
Epoch: [44][7470/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.0865 (2.1968)	Prec@1 45.312 (44.663)	Prec@5 75.000 (75.223)
Epoch: [44][7480/14090]	Time 0.779 (0.766)	Data 0.003 (0.002)	Loss 1.8583 (2.1968)	Prec@1 48.438 (44.663)	Prec@5 83.594 (75.220)
Epoch: [44][7490/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 2.2312 (2.1968)	Prec@1 42.969 (44.663)	Prec@5 74.219 (75.222)
Epoch: [44][7500/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 2.0264 (2.1968)	Prec@1 50.000 (44.663)	Prec@5 78.906 (75.223)
Epoch: [44][7510/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.1508 (2.1968)	Prec@1 42.969 (44.664)	Prec@5 78.125 (75.224)
Epoch: [44][7520/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 1.9944 (2.1967)	Prec@1 46.094 (44.665)	Prec@5 75.781 (75.226)
Epoch: [44][7530/14090]	Time 0.913 (0.766)	Data 0.001 (0.002)	Loss 2.0291 (2.1968)	Prec@1 51.562 (44.665)	Prec@5 75.781 (75.225)
Epoch: [44][7540/14090]	Time 0.774 (0.766)	Data 0.001 (0.002)	Loss 2.0345 (2.1969)	Prec@1 44.531 (44.663)	Prec@5 84.375 (75.224)
Epoch: [44][7550/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.1613 (2.1970)	Prec@1 37.500 (44.659)	Prec@5 80.469 (75.223)
Epoch: [44][7560/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.1944 (2.1969)	Prec@1 49.219 (44.661)	Prec@5 74.219 (75.224)
Epoch: [44][7570/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 1.9711 (2.1968)	Prec@1 52.344 (44.664)	Prec@5 79.688 (75.227)
Epoch: [44][7580/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 2.4002 (2.1969)	Prec@1 39.844 (44.660)	Prec@5 73.438 (75.225)
Epoch: [44][7590/14090]	Time 0.794 (0.766)	Data 0.001 (0.002)	Loss 1.9226 (2.1968)	Prec@1 47.656 (44.661)	Prec@5 80.469 (75.227)
Epoch: [44][7600/14090]	Time 0.912 (0.766)	Data 0.001 (0.002)	Loss 2.4579 (2.1970)	Prec@1 39.062 (44.656)	Prec@5 71.875 (75.226)
Epoch: [44][7610/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 2.2186 (2.1970)	Prec@1 40.625 (44.652)	Prec@5 75.781 (75.226)
Epoch: [44][7620/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 2.1410 (2.1970)	Prec@1 45.312 (44.654)	Prec@5 76.562 (75.225)
Epoch: [44][7630/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 1.9765 (2.1969)	Prec@1 45.312 (44.654)	Prec@5 77.344 (75.226)
Epoch: [44][7640/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.2855 (2.1969)	Prec@1 39.844 (44.654)	Prec@5 72.656 (75.226)
Epoch: [44][7650/14090]	Time 0.721 (0.766)	Data 0.001 (0.002)	Loss 2.2080 (2.1968)	Prec@1 42.969 (44.655)	Prec@5 71.875 (75.227)
Epoch: [44][7660/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 2.1305 (2.1968)	Prec@1 50.000 (44.653)	Prec@5 79.688 (75.228)
Epoch: [44][7670/14090]	Time 0.855 (0.766)	Data 0.001 (0.002)	Loss 2.4868 (2.1967)	Prec@1 39.062 (44.655)	Prec@5 67.969 (75.230)
Epoch: [44][7680/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 1.9525 (2.1968)	Prec@1 47.656 (44.655)	Prec@5 79.688 (75.230)
Epoch: [44][7690/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 2.2100 (2.1968)	Prec@1 48.438 (44.654)	Prec@5 78.125 (75.230)
Epoch: [44][7700/14090]	Time 0.781 (0.766)	Data 0.001 (0.002)	Loss 2.0114 (2.1968)	Prec@1 42.969 (44.652)	Prec@5 82.031 (75.232)
Epoch: [44][7710/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.0260 (2.1967)	Prec@1 49.219 (44.650)	Prec@5 75.781 (75.232)
Epoch: [44][7720/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.2365 (2.1968)	Prec@1 50.781 (44.651)	Prec@5 76.562 (75.233)
Epoch: [44][7730/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 2.0575 (2.1968)	Prec@1 46.875 (44.652)	Prec@5 75.000 (75.233)
Epoch: [44][7740/14090]	Time 0.818 (0.766)	Data 0.001 (0.002)	Loss 2.1550 (2.1968)	Prec@1 43.750 (44.651)	Prec@5 74.219 (75.231)
Epoch: [44][7750/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 2.0532 (2.1968)	Prec@1 48.438 (44.651)	Prec@5 76.562 (75.230)
Epoch: [44][7760/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 2.3968 (2.1968)	Prec@1 38.281 (44.651)	Prec@5 71.875 (75.231)
Epoch: [44][7770/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.0679 (2.1968)	Prec@1 48.438 (44.649)	Prec@5 77.344 (75.231)
Epoch: [44][7780/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.1469 (2.1967)	Prec@1 43.750 (44.650)	Prec@5 80.469 (75.235)
Epoch: [44][7790/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.1944 (2.1968)	Prec@1 46.094 (44.648)	Prec@5 74.219 (75.232)
Epoch: [44][7800/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.2896 (2.1967)	Prec@1 40.625 (44.648)	Prec@5 75.781 (75.234)
Epoch: [44][7810/14090]	Time 0.847 (0.766)	Data 0.001 (0.001)	Loss 2.0935 (2.1969)	Prec@1 47.656 (44.646)	Prec@5 81.250 (75.232)
Epoch: [44][7820/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.1751 (2.1969)	Prec@1 39.844 (44.646)	Prec@5 75.000 (75.232)
Epoch: [44][7830/14090]	Time 0.767 (0.766)	Data 0.001 (0.001)	Loss 1.8978 (2.1969)	Prec@1 55.469 (44.647)	Prec@5 78.906 (75.231)
Epoch: [44][7840/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.2343 (2.1970)	Prec@1 46.094 (44.644)	Prec@5 68.750 (75.229)
Epoch: [44][7850/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 1.9374 (2.1971)	Prec@1 53.906 (44.643)	Prec@5 78.125 (75.228)
Epoch: [44][7860/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.2569 (2.1970)	Prec@1 41.406 (44.644)	Prec@5 77.344 (75.231)
Epoch: [44][7870/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 1.9705 (2.1969)	Prec@1 46.094 (44.645)	Prec@5 82.031 (75.234)
Epoch: [44][7880/14090]	Time 0.885 (0.766)	Data 0.001 (0.001)	Loss 2.4214 (2.1970)	Prec@1 42.969 (44.643)	Prec@5 69.531 (75.232)
Epoch: [44][7890/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.3157 (2.1969)	Prec@1 39.844 (44.645)	Prec@5 71.094 (75.232)
Epoch: [44][7900/14090]	Time 0.721 (0.766)	Data 0.001 (0.001)	Loss 2.3499 (2.1970)	Prec@1 39.844 (44.641)	Prec@5 70.312 (75.228)
Epoch: [44][7910/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.1028 (2.1970)	Prec@1 42.188 (44.641)	Prec@5 79.688 (75.230)
Epoch: [44][7920/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.0814 (2.1970)	Prec@1 45.312 (44.642)	Prec@5 74.219 (75.229)
Epoch: [44][7930/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.2606 (2.1970)	Prec@1 43.750 (44.643)	Prec@5 68.750 (75.228)
Epoch: [44][7940/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.2238 (2.1969)	Prec@1 43.750 (44.645)	Prec@5 71.875 (75.229)
Epoch: [44][7950/14090]	Time 0.885 (0.766)	Data 0.001 (0.001)	Loss 2.4219 (2.1969)	Prec@1 42.188 (44.643)	Prec@5 74.219 (75.227)
Epoch: [44][7960/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.4885 (2.1970)	Prec@1 35.156 (44.643)	Prec@5 69.531 (75.226)
Epoch: [44][7970/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.0569 (2.1970)	Prec@1 48.438 (44.643)	Prec@5 75.781 (75.226)
Epoch: [44][7980/14090]	Time 0.718 (0.766)	Data 0.001 (0.001)	Loss 2.1246 (2.1970)	Prec@1 39.844 (44.644)	Prec@5 75.781 (75.226)
Epoch: [44][7990/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 1.9624 (2.1970)	Prec@1 42.188 (44.642)	Prec@5 80.469 (75.224)
Epoch: [44][8000/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 1.9297 (2.1970)	Prec@1 51.562 (44.641)	Prec@5 81.250 (75.225)
Epoch: [44][8010/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.2069 (2.1970)	Prec@1 42.188 (44.641)	Prec@5 76.562 (75.225)
Epoch: [44][8020/14090]	Time 0.846 (0.766)	Data 0.001 (0.001)	Loss 2.2185 (2.1971)	Prec@1 43.750 (44.640)	Prec@5 75.781 (75.224)
Epoch: [44][8030/14090]	Time 0.772 (0.766)	Data 0.001 (0.001)	Loss 2.1852 (2.1971)	Prec@1 39.844 (44.638)	Prec@5 73.438 (75.226)
Epoch: [44][8040/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.3513 (2.1971)	Prec@1 37.500 (44.639)	Prec@5 71.875 (75.226)
Epoch: [44][8050/14090]	Time 0.723 (0.766)	Data 0.001 (0.001)	Loss 2.1550 (2.1971)	Prec@1 47.656 (44.638)	Prec@5 75.000 (75.227)
Epoch: [44][8060/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.3197 (2.1971)	Prec@1 40.625 (44.639)	Prec@5 72.656 (75.228)
Epoch: [44][8070/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 1.9535 (2.1969)	Prec@1 48.438 (44.641)	Prec@5 78.125 (75.230)
Epoch: [44][8080/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.1466 (2.1968)	Prec@1 43.750 (44.642)	Prec@5 75.000 (75.232)
Epoch: [44][8090/14090]	Time 0.867 (0.766)	Data 0.001 (0.001)	Loss 2.2040 (2.1967)	Prec@1 42.188 (44.642)	Prec@5 71.875 (75.232)
Epoch: [44][8100/14090]	Time 0.770 (0.766)	Data 0.001 (0.001)	Loss 2.2122 (2.1968)	Prec@1 46.094 (44.639)	Prec@5 76.562 (75.230)
Epoch: [44][8110/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 1.9437 (2.1968)	Prec@1 54.688 (44.641)	Prec@5 78.906 (75.229)
Epoch: [44][8120/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.3103 (2.1969)	Prec@1 40.625 (44.639)	Prec@5 73.438 (75.229)
Epoch: [44][8130/14090]	Time 0.746 (0.766)	Data 0.002 (0.001)	Loss 1.9962 (2.1968)	Prec@1 52.344 (44.640)	Prec@5 78.125 (75.229)
Epoch: [44][8140/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.2689 (2.1968)	Prec@1 47.656 (44.640)	Prec@5 76.562 (75.229)
Epoch: [44][8150/14090]	Time 0.719 (0.766)	Data 0.001 (0.001)	Loss 2.2660 (2.1968)	Prec@1 43.750 (44.638)	Prec@5 73.438 (75.230)
Epoch: [44][8160/14090]	Time 0.880 (0.766)	Data 0.001 (0.001)	Loss 2.2918 (2.1967)	Prec@1 41.406 (44.639)	Prec@5 76.562 (75.231)
Epoch: [44][8170/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.0407 (2.1967)	Prec@1 48.438 (44.639)	Prec@5 77.344 (75.232)
Epoch: [44][8180/14090]	Time 0.773 (0.766)	Data 0.001 (0.001)	Loss 2.1042 (2.1966)	Prec@1 49.219 (44.637)	Prec@5 74.219 (75.233)
Epoch: [44][8190/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 1.9853 (2.1967)	Prec@1 45.312 (44.635)	Prec@5 79.688 (75.234)
Epoch: [44][8200/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.0932 (2.1967)	Prec@1 52.344 (44.636)	Prec@5 77.344 (75.233)
Epoch: [44][8210/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.3280 (2.1969)	Prec@1 39.062 (44.634)	Prec@5 73.438 (75.233)
Epoch: [44][8220/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.3449 (2.1970)	Prec@1 35.938 (44.634)	Prec@5 78.125 (75.232)
Epoch: [44][8230/14090]	Time 0.953 (0.766)	Data 0.001 (0.001)	Loss 1.9861 (2.1970)	Prec@1 48.438 (44.635)	Prec@5 78.125 (75.233)
Epoch: [44][8240/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.0527 (2.1970)	Prec@1 46.875 (44.632)	Prec@5 74.219 (75.235)
Epoch: [44][8250/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.1993 (2.1969)	Prec@1 49.219 (44.633)	Prec@5 73.438 (75.236)
Epoch: [44][8260/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.4407 (2.1970)	Prec@1 38.281 (44.629)	Prec@5 73.438 (75.234)
Epoch: [44][8270/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.0343 (2.1970)	Prec@1 42.969 (44.628)	Prec@5 75.000 (75.233)
Epoch: [44][8280/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.0675 (2.1969)	Prec@1 46.094 (44.628)	Prec@5 78.906 (75.236)
Epoch: [44][8290/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.1759 (2.1971)	Prec@1 42.969 (44.625)	Prec@5 79.688 (75.233)
Epoch: [44][8300/14090]	Time 0.866 (0.766)	Data 0.001 (0.001)	Loss 2.1465 (2.1971)	Prec@1 43.750 (44.624)	Prec@5 78.125 (75.232)
Epoch: [44][8310/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.1831 (2.1972)	Prec@1 42.188 (44.624)	Prec@5 75.000 (75.231)
Epoch: [44][8320/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.2163 (2.1972)	Prec@1 47.656 (44.623)	Prec@5 71.094 (75.231)
Epoch: [44][8330/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.1068 (2.1971)	Prec@1 43.750 (44.625)	Prec@5 73.438 (75.231)
Epoch: [44][8340/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.1910 (2.1972)	Prec@1 44.531 (44.622)	Prec@5 80.469 (75.231)
Epoch: [44][8350/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.3965 (2.1972)	Prec@1 41.406 (44.622)	Prec@5 68.750 (75.230)
Epoch: [44][8360/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.2201 (2.1972)	Prec@1 45.312 (44.622)	Prec@5 73.438 (75.229)
Epoch: [44][8370/14090]	Time 0.848 (0.766)	Data 0.001 (0.001)	Loss 2.2745 (2.1972)	Prec@1 43.750 (44.621)	Prec@5 74.219 (75.229)
Epoch: [44][8380/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.1127 (2.1972)	Prec@1 44.531 (44.620)	Prec@5 78.906 (75.227)
Epoch: [44][8390/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.2202 (2.1973)	Prec@1 39.844 (44.619)	Prec@5 73.438 (75.226)
Epoch: [44][8400/14090]	Time 0.774 (0.766)	Data 0.001 (0.001)	Loss 2.3956 (2.1973)	Prec@1 42.188 (44.619)	Prec@5 71.875 (75.225)
Epoch: [44][8410/14090]	Time 0.777 (0.766)	Data 0.001 (0.001)	Loss 2.1688 (2.1973)	Prec@1 47.656 (44.621)	Prec@5 75.781 (75.225)
Epoch: [44][8420/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.2301 (2.1973)	Prec@1 43.750 (44.620)	Prec@5 75.000 (75.226)
Epoch: [44][8430/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.2571 (2.1973)	Prec@1 41.406 (44.620)	Prec@5 75.781 (75.226)
Epoch: [44][8440/14090]	Time 0.848 (0.766)	Data 0.001 (0.001)	Loss 2.3171 (2.1972)	Prec@1 44.531 (44.623)	Prec@5 74.219 (75.226)
Epoch: [44][8450/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.0521 (2.1972)	Prec@1 50.000 (44.623)	Prec@5 81.250 (75.228)
Epoch: [44][8460/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.3858 (2.1973)	Prec@1 40.625 (44.622)	Prec@5 74.219 (75.228)
Epoch: [44][8470/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.1314 (2.1973)	Prec@1 42.969 (44.620)	Prec@5 76.562 (75.227)
Epoch: [44][8480/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.2761 (2.1973)	Prec@1 39.844 (44.618)	Prec@5 74.219 (75.226)
Epoch: [44][8490/14090]	Time 0.720 (0.766)	Data 0.001 (0.001)	Loss 2.1478 (2.1973)	Prec@1 44.531 (44.619)	Prec@5 75.781 (75.226)
Epoch: [44][8500/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 2.3374 (2.1973)	Prec@1 50.000 (44.620)	Prec@5 75.781 (75.227)
Epoch: [44][8510/14090]	Time 0.917 (0.766)	Data 0.001 (0.001)	Loss 2.4481 (2.1974)	Prec@1 41.406 (44.616)	Prec@5 67.969 (75.224)
Epoch: [44][8520/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.1998 (2.1975)	Prec@1 46.094 (44.616)	Prec@5 74.219 (75.223)
Epoch: [44][8530/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.1188 (2.1975)	Prec@1 45.312 (44.617)	Prec@5 76.562 (75.222)
Epoch: [44][8540/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.1741 (2.1975)	Prec@1 47.656 (44.615)	Prec@5 75.781 (75.221)
Epoch: [44][8550/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.4529 (2.1975)	Prec@1 42.969 (44.620)	Prec@5 70.312 (75.221)
Epoch: [44][8560/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.3286 (2.1975)	Prec@1 41.406 (44.617)	Prec@5 76.562 (75.220)
Epoch: [44][8570/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.3240 (2.1975)	Prec@1 42.969 (44.619)	Prec@5 72.656 (75.222)
Epoch: [44][8580/14090]	Time 0.885 (0.766)	Data 0.001 (0.001)	Loss 2.0648 (2.1975)	Prec@1 46.094 (44.619)	Prec@5 75.000 (75.221)
Epoch: [44][8590/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 1.8723 (2.1975)	Prec@1 53.906 (44.622)	Prec@5 82.031 (75.221)
Epoch: [44][8600/14090]	Time 0.775 (0.766)	Data 0.001 (0.001)	Loss 2.2804 (2.1975)	Prec@1 48.438 (44.623)	Prec@5 69.531 (75.220)
Epoch: [44][8610/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.1961 (2.1975)	Prec@1 47.656 (44.623)	Prec@5 72.656 (75.219)
Epoch: [44][8620/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.1803 (2.1975)	Prec@1 45.312 (44.623)	Prec@5 75.000 (75.221)
Epoch: [44][8630/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.4039 (2.1976)	Prec@1 43.750 (44.620)	Prec@5 67.969 (75.220)
Epoch: [44][8640/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.3776 (2.1976)	Prec@1 42.969 (44.619)	Prec@5 73.438 (75.219)
Epoch: [44][8650/14090]	Time 0.893 (0.766)	Data 0.001 (0.001)	Loss 2.3304 (2.1976)	Prec@1 46.875 (44.620)	Prec@5 69.531 (75.220)
Epoch: [44][8660/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.1861 (2.1976)	Prec@1 41.406 (44.618)	Prec@5 73.438 (75.222)
Epoch: [44][8670/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.1315 (2.1976)	Prec@1 44.531 (44.620)	Prec@5 75.781 (75.222)
Epoch: [44][8680/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.6251 (2.1977)	Prec@1 36.719 (44.618)	Prec@5 63.281 (75.220)
Epoch: [44][8690/14090]	Time 0.780 (0.766)	Data 0.001 (0.001)	Loss 2.2138 (2.1977)	Prec@1 44.531 (44.618)	Prec@5 75.781 (75.221)
Epoch: [44][8700/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.3484 (2.1977)	Prec@1 42.969 (44.618)	Prec@5 75.000 (75.220)
Epoch: [44][8710/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 2.1680 (2.1977)	Prec@1 37.500 (44.616)	Prec@5 75.000 (75.219)
Epoch: [44][8720/14090]	Time 0.893 (0.766)	Data 0.001 (0.001)	Loss 2.1231 (2.1976)	Prec@1 42.188 (44.616)	Prec@5 72.656 (75.218)
Epoch: [44][8730/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.2441 (2.1976)	Prec@1 44.531 (44.618)	Prec@5 73.438 (75.218)
Epoch: [44][8740/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.2052 (2.1976)	Prec@1 47.656 (44.618)	Prec@5 75.781 (75.220)
Epoch: [44][8750/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 2.2250 (2.1975)	Prec@1 47.656 (44.621)	Prec@5 74.219 (75.221)
Epoch: [44][8760/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 2.0214 (2.1976)	Prec@1 45.312 (44.619)	Prec@5 75.000 (75.221)
Epoch: [44][8770/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.0984 (2.1975)	Prec@1 52.344 (44.621)	Prec@5 78.125 (75.224)
Epoch: [44][8780/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.1866 (2.1974)	Prec@1 41.406 (44.620)	Prec@5 74.219 (75.226)
Epoch: [44][8790/14090]	Time 0.856 (0.766)	Data 0.001 (0.001)	Loss 2.2527 (2.1974)	Prec@1 42.969 (44.620)	Prec@5 71.094 (75.225)
Epoch: [44][8800/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.2083 (2.1974)	Prec@1 45.312 (44.622)	Prec@5 76.562 (75.228)
Epoch: [44][8810/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.2245 (2.1974)	Prec@1 42.188 (44.622)	Prec@5 75.781 (75.228)
Epoch: [44][8820/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.4018 (2.1973)	Prec@1 42.188 (44.622)	Prec@5 67.969 (75.229)
Epoch: [44][8830/14090]	Time 0.765 (0.766)	Data 0.001 (0.001)	Loss 1.8083 (2.1973)	Prec@1 53.906 (44.621)	Prec@5 82.031 (75.230)
Epoch: [44][8840/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 1.8903 (2.1972)	Prec@1 47.656 (44.622)	Prec@5 78.125 (75.233)
Epoch: [44][8850/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.1662 (2.1973)	Prec@1 45.312 (44.621)	Prec@5 75.000 (75.232)
Epoch: [44][8860/14090]	Time 0.870 (0.766)	Data 0.001 (0.001)	Loss 2.1774 (2.1974)	Prec@1 45.312 (44.619)	Prec@5 78.125 (75.230)
Epoch: [44][8870/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.3094 (2.1974)	Prec@1 40.625 (44.619)	Prec@5 72.656 (75.231)
Epoch: [44][8880/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.2545 (2.1974)	Prec@1 46.094 (44.618)	Prec@5 75.000 (75.230)
Epoch: [44][8890/14090]	Time 0.775 (0.766)	Data 0.001 (0.001)	Loss 2.1839 (2.1973)	Prec@1 48.438 (44.619)	Prec@5 75.000 (75.231)
Epoch: [44][8900/14090]	Time 0.777 (0.766)	Data 0.001 (0.001)	Loss 2.0574 (2.1974)	Prec@1 51.562 (44.619)	Prec@5 77.344 (75.231)
Epoch: [44][8910/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.3870 (2.1974)	Prec@1 43.750 (44.619)	Prec@5 75.000 (75.231)
Epoch: [44][8920/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.4880 (2.1975)	Prec@1 39.062 (44.619)	Prec@5 67.188 (75.230)
Epoch: [44][8930/14090]	Time 0.870 (0.766)	Data 0.001 (0.001)	Loss 2.0737 (2.1974)	Prec@1 41.406 (44.620)	Prec@5 75.781 (75.230)
Epoch: [44][8940/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 2.3851 (2.1975)	Prec@1 35.938 (44.618)	Prec@5 71.094 (75.229)
Epoch: [44][8950/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.0113 (2.1975)	Prec@1 46.094 (44.617)	Prec@5 78.906 (75.227)
Epoch: [44][8960/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.5286 (2.1975)	Prec@1 33.594 (44.616)	Prec@5 73.438 (75.228)
Epoch: [44][8970/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.3793 (2.1975)	Prec@1 40.625 (44.617)	Prec@5 72.656 (75.230)
Epoch: [44][8980/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.2329 (2.1974)	Prec@1 43.750 (44.619)	Prec@5 75.781 (75.231)
Epoch: [44][8990/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 1.9617 (2.1974)	Prec@1 47.656 (44.621)	Prec@5 76.562 (75.232)
Epoch: [44][9000/14090]	Time 0.894 (0.766)	Data 0.001 (0.001)	Loss 2.0740 (2.1974)	Prec@1 46.875 (44.619)	Prec@5 79.688 (75.232)
Epoch: [44][9010/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.2994 (2.1974)	Prec@1 41.406 (44.618)	Prec@5 72.656 (75.229)
Epoch: [44][9020/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.2604 (2.1974)	Prec@1 40.625 (44.619)	Prec@5 75.000 (75.229)
Epoch: [44][9030/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.2206 (2.1975)	Prec@1 49.219 (44.617)	Prec@5 73.438 (75.228)
Epoch: [44][9040/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 1.9441 (2.1975)	Prec@1 46.094 (44.619)	Prec@5 78.906 (75.229)
Epoch: [44][9050/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.1942 (2.1975)	Prec@1 46.875 (44.619)	Prec@5 77.344 (75.229)
Epoch: [44][9060/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.3460 (2.1975)	Prec@1 45.312 (44.619)	Prec@5 73.438 (75.228)
Epoch: [44][9070/14090]	Time 0.824 (0.766)	Data 0.001 (0.001)	Loss 2.0636 (2.1975)	Prec@1 42.969 (44.618)	Prec@5 77.344 (75.228)
Epoch: [44][9080/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.2990 (2.1975)	Prec@1 39.062 (44.619)	Prec@5 71.094 (75.227)
Epoch: [44][9090/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.1739 (2.1974)	Prec@1 50.000 (44.618)	Prec@5 78.125 (75.228)
Epoch: [44][9100/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.1482 (2.1974)	Prec@1 46.875 (44.619)	Prec@5 78.906 (75.229)
Epoch: [44][9110/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.4702 (2.1974)	Prec@1 39.844 (44.619)	Prec@5 68.750 (75.229)
Epoch: [44][9120/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.2970 (2.1975)	Prec@1 43.750 (44.618)	Prec@5 72.656 (75.227)
Epoch: [44][9130/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.1978 (2.1975)	Prec@1 44.531 (44.620)	Prec@5 72.656 (75.226)
Epoch: [44][9140/14090]	Time 0.879 (0.766)	Data 0.001 (0.001)	Loss 2.2325 (2.1975)	Prec@1 45.312 (44.619)	Prec@5 75.781 (75.225)
Epoch: [44][9150/14090]	Time 0.771 (0.766)	Data 0.001 (0.001)	Loss 2.2863 (2.1975)	Prec@1 42.969 (44.618)	Prec@5 75.000 (75.223)
Epoch: [44][9160/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.0241 (2.1975)	Prec@1 49.219 (44.618)	Prec@5 72.656 (75.221)
Epoch: [44][9170/14090]	Time 0.778 (0.766)	Data 0.001 (0.001)	Loss 2.3842 (2.1975)	Prec@1 44.531 (44.620)	Prec@5 68.750 (75.221)
Epoch: [44][9180/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.4015 (2.1975)	Prec@1 40.625 (44.619)	Prec@5 74.219 (75.221)
Epoch: [44][9190/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.2881 (2.1976)	Prec@1 42.188 (44.621)	Prec@5 72.656 (75.219)
Epoch: [44][9200/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.3234 (2.1975)	Prec@1 42.969 (44.622)	Prec@5 77.344 (75.220)
Epoch: [44][9210/14090]	Time 0.826 (0.766)	Data 0.001 (0.001)	Loss 2.0354 (2.1976)	Prec@1 49.219 (44.622)	Prec@5 77.344 (75.219)
Epoch: [44][9220/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.3066 (2.1975)	Prec@1 37.500 (44.622)	Prec@5 77.344 (75.220)
Epoch: [44][9230/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.1207 (2.1975)	Prec@1 41.406 (44.622)	Prec@5 80.469 (75.221)
Epoch: [44][9240/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.0842 (2.1974)	Prec@1 48.438 (44.624)	Prec@5 78.906 (75.222)
Epoch: [44][9250/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.4527 (2.1974)	Prec@1 42.969 (44.623)	Prec@5 69.531 (75.223)
Epoch: [44][9260/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 2.2867 (2.1974)	Prec@1 44.531 (44.622)	Prec@5 73.438 (75.222)
Epoch: [44][9270/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 2.1003 (2.1974)	Prec@1 45.312 (44.623)	Prec@5 75.000 (75.223)
Epoch: [44][9280/14090]	Time 0.927 (0.766)	Data 0.001 (0.001)	Loss 2.2812 (2.1974)	Prec@1 41.406 (44.624)	Prec@5 73.438 (75.221)
Epoch: [44][9290/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 1.9066 (2.1973)	Prec@1 50.000 (44.627)	Prec@5 79.688 (75.223)
Epoch: [44][9300/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.0432 (2.1973)	Prec@1 46.094 (44.628)	Prec@5 77.344 (75.223)
Epoch: [44][9310/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.0442 (2.1973)	Prec@1 50.000 (44.631)	Prec@5 78.125 (75.224)
Epoch: [44][9320/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.1685 (2.1973)	Prec@1 46.875 (44.629)	Prec@5 75.781 (75.223)
Epoch: [44][9330/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.5528 (2.1974)	Prec@1 37.500 (44.627)	Prec@5 67.969 (75.222)
Epoch: [44][9340/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.3922 (2.1974)	Prec@1 49.219 (44.629)	Prec@5 71.094 (75.222)
Epoch: [44][9350/14090]	Time 0.849 (0.766)	Data 0.001 (0.001)	Loss 2.0833 (2.1974)	Prec@1 48.438 (44.629)	Prec@5 80.469 (75.221)
Epoch: [44][9360/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.6244 (2.1975)	Prec@1 34.375 (44.625)	Prec@5 68.750 (75.219)
Epoch: [44][9370/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.4196 (2.1975)	Prec@1 40.625 (44.626)	Prec@5 67.969 (75.218)
Epoch: [44][9380/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.1197 (2.1976)	Prec@1 46.875 (44.623)	Prec@5 75.000 (75.216)
Epoch: [44][9390/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.3588 (2.1976)	Prec@1 44.531 (44.624)	Prec@5 72.656 (75.215)
Epoch: [44][9400/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.3025 (2.1977)	Prec@1 44.531 (44.622)	Prec@5 70.312 (75.215)
Epoch: [44][9410/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.0000 (2.1976)	Prec@1 44.531 (44.622)	Prec@5 81.250 (75.215)
Epoch: [44][9420/14090]	Time 0.867 (0.766)	Data 0.001 (0.001)	Loss 2.2458 (2.1977)	Prec@1 39.062 (44.621)	Prec@5 74.219 (75.215)
Epoch: [44][9430/14090]	Time 0.722 (0.766)	Data 0.001 (0.001)	Loss 1.9847 (2.1976)	Prec@1 49.219 (44.619)	Prec@5 81.250 (75.218)
Epoch: [44][9440/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.3254 (2.1976)	Prec@1 41.406 (44.619)	Prec@5 74.219 (75.218)
Epoch: [44][9450/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.3286 (2.1976)	Prec@1 45.312 (44.621)	Prec@5 75.000 (75.219)
Epoch: [44][9460/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.1805 (2.1976)	Prec@1 39.062 (44.618)	Prec@5 75.781 (75.219)
Epoch: [44][9470/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.1448 (2.1976)	Prec@1 42.969 (44.618)	Prec@5 75.000 (75.220)
Epoch: [44][9480/14090]	Time 0.778 (0.766)	Data 0.001 (0.001)	Loss 2.2236 (2.1977)	Prec@1 41.406 (44.615)	Prec@5 75.781 (75.218)
Epoch: [44][9490/14090]	Time 0.906 (0.766)	Data 0.001 (0.001)	Loss 2.3848 (2.1977)	Prec@1 42.188 (44.615)	Prec@5 73.438 (75.217)
Epoch: [44][9500/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 2.5468 (2.1977)	Prec@1 38.281 (44.617)	Prec@5 67.188 (75.218)
Epoch: [44][9510/14090]	Time 0.724 (0.766)	Data 0.001 (0.001)	Loss 2.0905 (2.1977)	Prec@1 43.750 (44.617)	Prec@5 76.562 (75.219)
Epoch: [44][9520/14090]	Time 0.780 (0.766)	Data 0.001 (0.001)	Loss 2.1906 (2.1977)	Prec@1 46.094 (44.619)	Prec@5 75.781 (75.219)
Epoch: [44][9530/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 2.1028 (2.1977)	Prec@1 42.188 (44.619)	Prec@5 77.344 (75.220)
Epoch: [44][9540/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.2522 (2.1977)	Prec@1 42.969 (44.619)	Prec@5 78.125 (75.222)
Epoch: [44][9550/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 2.0254 (2.1976)	Prec@1 48.438 (44.618)	Prec@5 77.344 (75.222)
Epoch: [44][9560/14090]	Time 0.913 (0.766)	Data 0.001 (0.001)	Loss 2.0896 (2.1976)	Prec@1 49.219 (44.619)	Prec@5 78.125 (75.222)
Epoch: [44][9570/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.2210 (2.1977)	Prec@1 40.625 (44.618)	Prec@5 75.000 (75.222)
Epoch: [44][9580/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.1051 (2.1976)	Prec@1 43.750 (44.617)	Prec@5 75.781 (75.223)
Epoch: [44][9590/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 2.0909 (2.1977)	Prec@1 49.219 (44.615)	Prec@5 75.781 (75.221)
Epoch: [44][9600/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.1210 (2.1978)	Prec@1 48.438 (44.613)	Prec@5 77.344 (75.220)
Epoch: [44][9610/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.3334 (2.1979)	Prec@1 36.719 (44.611)	Prec@5 74.219 (75.220)
Epoch: [44][9620/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 2.1423 (2.1979)	Prec@1 41.406 (44.610)	Prec@5 78.125 (75.221)
Epoch: [44][9630/14090]	Time 0.882 (0.766)	Data 0.001 (0.001)	Loss 2.0778 (2.1980)	Prec@1 48.438 (44.608)	Prec@5 79.688 (75.219)
Epoch: [44][9640/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.0737 (2.1980)	Prec@1 44.531 (44.609)	Prec@5 75.000 (75.218)
Epoch: [44][9650/14090]	Time 0.724 (0.766)	Data 0.001 (0.001)	Loss 2.1659 (2.1980)	Prec@1 45.312 (44.608)	Prec@5 73.438 (75.220)
Epoch: [44][9660/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.1695 (2.1980)	Prec@1 45.312 (44.608)	Prec@5 73.438 (75.219)
Epoch: [44][9670/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.2873 (2.1980)	Prec@1 42.188 (44.608)	Prec@5 74.219 (75.219)
Epoch: [44][9680/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 1.9961 (2.1982)	Prec@1 52.344 (44.604)	Prec@5 77.344 (75.214)
Epoch: [44][9690/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 2.1042 (2.1982)	Prec@1 49.219 (44.603)	Prec@5 72.656 (75.213)
Epoch: [44][9700/14090]	Time 0.856 (0.766)	Data 0.001 (0.001)	Loss 2.0250 (2.1983)	Prec@1 45.312 (44.602)	Prec@5 79.688 (75.213)
Epoch: [44][9710/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.3802 (2.1983)	Prec@1 46.094 (44.603)	Prec@5 75.781 (75.214)
Epoch: [44][9720/14090]	Time 0.791 (0.766)	Data 0.001 (0.001)	Loss 2.2918 (2.1983)	Prec@1 43.750 (44.604)	Prec@5 71.875 (75.213)
Epoch: [44][9730/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 2.1967 (2.1984)	Prec@1 43.750 (44.602)	Prec@5 76.562 (75.210)
Epoch: [44][9740/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 1.9631 (2.1983)	Prec@1 50.781 (44.602)	Prec@5 79.688 (75.210)
Epoch: [44][9750/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.1782 (2.1983)	Prec@1 46.094 (44.603)	Prec@5 75.781 (75.211)
Epoch: [44][9760/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 2.1953 (2.1982)	Prec@1 46.094 (44.604)	Prec@5 75.781 (75.213)
Epoch: [44][9770/14090]	Time 0.867 (0.766)	Data 0.001 (0.001)	Loss 2.4305 (2.1982)	Prec@1 43.750 (44.606)	Prec@5 71.875 (75.214)
Epoch: [44][9780/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.1945 (2.1982)	Prec@1 47.656 (44.606)	Prec@5 75.781 (75.214)
Epoch: [44][9790/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.0495 (2.1982)	Prec@1 45.312 (44.606)	Prec@5 73.438 (75.215)
Epoch: [44][9800/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.0725 (2.1982)	Prec@1 50.781 (44.606)	Prec@5 74.219 (75.214)
Epoch: [44][9810/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.1632 (2.1982)	Prec@1 44.531 (44.605)	Prec@5 78.906 (75.214)
Epoch: [44][9820/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.3519 (2.1982)	Prec@1 45.312 (44.605)	Prec@5 70.312 (75.215)
Epoch: [44][9830/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 2.0636 (2.1981)	Prec@1 42.969 (44.605)	Prec@5 78.125 (75.214)
Epoch: [44][9840/14090]	Time 0.925 (0.766)	Data 0.001 (0.001)	Loss 1.8732 (2.1981)	Prec@1 55.469 (44.605)	Prec@5 80.469 (75.214)
Epoch: [44][9850/14090]	Time 0.765 (0.766)	Data 0.001 (0.001)	Loss 2.2298 (2.1981)	Prec@1 47.656 (44.605)	Prec@5 75.000 (75.215)
Epoch: [44][9860/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.5200 (2.1982)	Prec@1 32.031 (44.603)	Prec@5 71.875 (75.213)
Epoch: [44][9870/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.7451 (2.1983)	Prec@1 32.031 (44.602)	Prec@5 64.844 (75.212)
Epoch: [44][9880/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.4260 (2.1983)	Prec@1 37.500 (44.601)	Prec@5 73.438 (75.211)
Epoch: [44][9890/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.1087 (2.1984)	Prec@1 47.656 (44.599)	Prec@5 81.250 (75.211)
Epoch: [44][9900/14090]	Time 0.781 (0.766)	Data 0.001 (0.001)	Loss 2.1720 (2.1984)	Prec@1 42.969 (44.599)	Prec@5 77.344 (75.213)
Epoch: [44][9910/14090]	Time 0.834 (0.766)	Data 0.001 (0.001)	Loss 2.0133 (2.1983)	Prec@1 46.875 (44.599)	Prec@5 78.906 (75.214)
Epoch: [44][9920/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.0061 (2.1983)	Prec@1 46.875 (44.598)	Prec@5 82.031 (75.214)
Epoch: [44][9930/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.4403 (2.1983)	Prec@1 41.406 (44.599)	Prec@5 71.094 (75.215)
Epoch: [44][9940/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 1.8223 (2.1983)	Prec@1 50.000 (44.600)	Prec@5 82.031 (75.217)
Epoch: [44][9950/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.2255 (2.1984)	Prec@1 46.094 (44.599)	Prec@5 78.906 (75.214)
Epoch: [44][9960/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.4385 (2.1984)	Prec@1 46.094 (44.600)	Prec@5 73.438 (75.213)
Epoch: [44][9970/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.2034 (2.1984)	Prec@1 45.312 (44.598)	Prec@5 75.781 (75.212)
Epoch: [44][9980/14090]	Time 0.875 (0.766)	Data 0.001 (0.001)	Loss 2.2506 (2.1985)	Prec@1 41.406 (44.595)	Prec@5 73.438 (75.213)
Epoch: [44][9990/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 1.9961 (2.1984)	Prec@1 44.531 (44.595)	Prec@5 80.469 (75.214)
Epoch: [44][10000/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.3019 (2.1983)	Prec@1 39.062 (44.595)	Prec@5 73.438 (75.215)
Epoch: [44][10010/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.1782 (2.1984)	Prec@1 45.312 (44.594)	Prec@5 71.094 (75.212)
Epoch: [44][10020/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.2771 (2.1984)	Prec@1 42.969 (44.595)	Prec@5 75.000 (75.213)
Epoch: [44][10030/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.4653 (2.1984)	Prec@1 42.188 (44.595)	Prec@5 71.094 (75.212)
Epoch: [44][10040/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.1463 (2.1984)	Prec@1 47.656 (44.593)	Prec@5 79.688 (75.212)
Epoch: [44][10050/14090]	Time 0.845 (0.766)	Data 0.001 (0.001)	Loss 2.0731 (2.1984)	Prec@1 47.656 (44.596)	Prec@5 78.906 (75.213)
Epoch: [44][10060/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 1.9913 (2.1983)	Prec@1 48.438 (44.597)	Prec@5 74.219 (75.214)
Epoch: [44][10070/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.0890 (2.1984)	Prec@1 46.875 (44.597)	Prec@5 79.688 (75.215)
Epoch: [44][10080/14090]	Time 0.779 (0.766)	Data 0.001 (0.001)	Loss 2.1798 (2.1984)	Prec@1 44.531 (44.597)	Prec@5 78.125 (75.213)
Epoch: [44][10090/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.3531 (2.1985)	Prec@1 39.844 (44.594)	Prec@5 73.438 (75.212)
Epoch: [44][10100/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.5124 (2.1985)	Prec@1 39.844 (44.592)	Prec@5 67.188 (75.212)
Epoch: [44][10110/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.4733 (2.1985)	Prec@1 37.500 (44.589)	Prec@5 70.312 (75.211)
Epoch: [44][10120/14090]	Time 0.863 (0.766)	Data 0.001 (0.001)	Loss 2.3802 (2.1986)	Prec@1 41.406 (44.588)	Prec@5 68.750 (75.211)
Epoch: [44][10130/14090]	Time 0.777 (0.766)	Data 0.001 (0.001)	Loss 2.2999 (2.1987)	Prec@1 41.406 (44.588)	Prec@5 75.000 (75.208)
Epoch: [44][10140/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.0921 (2.1987)	Prec@1 54.688 (44.588)	Prec@5 75.781 (75.208)
Epoch: [44][10150/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.0372 (2.1987)	Prec@1 48.438 (44.589)	Prec@5 81.250 (75.209)
Epoch: [44][10160/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.2034 (2.1987)	Prec@1 42.188 (44.587)	Prec@5 77.344 (75.209)
Epoch: [44][10170/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.1369 (2.1987)	Prec@1 44.531 (44.587)	Prec@5 76.562 (75.209)
Epoch: [44][10180/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.2734 (2.1989)	Prec@1 46.875 (44.584)	Prec@5 73.438 (75.209)
Epoch: [44][10190/14090]	Time 1.035 (0.766)	Data 0.001 (0.001)	Loss 2.0356 (2.1989)	Prec@1 46.875 (44.584)	Prec@5 80.469 (75.209)
Epoch: [44][10200/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.2545 (2.1989)	Prec@1 42.188 (44.582)	Prec@5 76.562 (75.210)
Epoch: [44][10210/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.0446 (2.1988)	Prec@1 48.438 (44.584)	Prec@5 75.000 (75.211)
Epoch: [44][10220/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.2100 (2.1989)	Prec@1 46.094 (44.583)	Prec@5 77.344 (75.211)
Epoch: [44][10230/14090]	Time 0.764 (0.766)	Data 0.002 (0.001)	Loss 1.8529 (2.1989)	Prec@1 53.906 (44.583)	Prec@5 84.375 (75.209)
Epoch: [44][10240/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 2.2664 (2.1989)	Prec@1 39.844 (44.582)	Prec@5 76.562 (75.209)
Epoch: [44][10250/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.2460 (2.1989)	Prec@1 41.406 (44.582)	Prec@5 71.094 (75.210)
Epoch: [44][10260/14090]	Time 0.855 (0.766)	Data 0.001 (0.001)	Loss 2.2515 (2.1989)	Prec@1 41.406 (44.582)	Prec@5 77.344 (75.210)
Epoch: [44][10270/14090]	Time 0.732 (0.766)	Data 0.002 (0.001)	Loss 1.9132 (2.1989)	Prec@1 47.656 (44.580)	Prec@5 81.250 (75.210)
Epoch: [44][10280/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.1046 (2.1990)	Prec@1 45.312 (44.581)	Prec@5 77.344 (75.211)
Epoch: [44][10290/14090]	Time 0.776 (0.766)	Data 0.001 (0.001)	Loss 2.1365 (2.1991)	Prec@1 46.875 (44.577)	Prec@5 76.562 (75.209)
Epoch: [44][10300/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.2270 (2.1991)	Prec@1 46.875 (44.577)	Prec@5 71.094 (75.208)
Epoch: [44][10310/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 1.9094 (2.1991)	Prec@1 51.562 (44.578)	Prec@5 80.469 (75.208)
Epoch: [44][10320/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.0210 (2.1991)	Prec@1 48.438 (44.576)	Prec@5 77.344 (75.207)
Epoch: [44][10330/14090]	Time 0.893 (0.766)	Data 0.001 (0.001)	Loss 2.4662 (2.1992)	Prec@1 37.500 (44.576)	Prec@5 71.875 (75.206)
Epoch: [44][10340/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.1638 (2.1992)	Prec@1 39.844 (44.575)	Prec@5 79.688 (75.206)
Epoch: [44][10350/14090]	Time 0.772 (0.766)	Data 0.001 (0.001)	Loss 2.3533 (2.1993)	Prec@1 40.625 (44.576)	Prec@5 67.969 (75.206)
Epoch: [44][10360/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.3971 (2.1993)	Prec@1 39.844 (44.576)	Prec@5 73.438 (75.204)
Epoch: [44][10370/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 2.0324 (2.1993)	Prec@1 44.531 (44.576)	Prec@5 76.562 (75.203)
Epoch: [44][10380/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.2989 (2.1992)	Prec@1 36.719 (44.574)	Prec@5 75.000 (75.203)
Epoch: [44][10390/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.1806 (2.1992)	Prec@1 45.312 (44.575)	Prec@5 76.562 (75.203)
Epoch: [44][10400/14090]	Time 0.930 (0.766)	Data 0.001 (0.001)	Loss 2.0949 (2.1992)	Prec@1 46.094 (44.575)	Prec@5 77.344 (75.204)
Epoch: [44][10410/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.2749 (2.1993)	Prec@1 44.531 (44.574)	Prec@5 77.344 (75.204)
Epoch: [44][10420/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.0678 (2.1992)	Prec@1 48.438 (44.574)	Prec@5 78.906 (75.205)
Epoch: [44][10430/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.7251 (2.1993)	Prec@1 30.469 (44.572)	Prec@5 64.844 (75.204)
Epoch: [44][10440/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.3853 (2.1994)	Prec@1 39.062 (44.570)	Prec@5 72.656 (75.203)
Epoch: [44][10450/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.0073 (2.1994)	Prec@1 48.438 (44.570)	Prec@5 78.906 (75.203)
Epoch: [44][10460/14090]	Time 0.767 (0.766)	Data 0.001 (0.001)	Loss 2.3370 (2.1993)	Prec@1 41.406 (44.571)	Prec@5 70.312 (75.204)
Epoch: [44][10470/14090]	Time 0.817 (0.766)	Data 0.001 (0.001)	Loss 2.1313 (2.1993)	Prec@1 48.438 (44.572)	Prec@5 78.125 (75.203)
Epoch: [44][10480/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 2.1285 (2.1993)	Prec@1 43.750 (44.573)	Prec@5 71.094 (75.204)
Epoch: [44][10490/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 1.9946 (2.1993)	Prec@1 50.000 (44.571)	Prec@5 82.031 (75.205)
Epoch: [44][10500/14090]	Time 0.765 (0.766)	Data 0.001 (0.001)	Loss 2.3700 (2.1994)	Prec@1 39.062 (44.571)	Prec@5 72.656 (75.203)
Epoch: [44][10510/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.4630 (2.1993)	Prec@1 43.750 (44.571)	Prec@5 66.406 (75.203)
Epoch: [44][10520/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 1.9399 (2.1993)	Prec@1 52.344 (44.570)	Prec@5 80.469 (75.203)
Epoch: [44][10530/14090]	Time 0.739 (0.766)	Data 0.002 (0.001)	Loss 2.4764 (2.1994)	Prec@1 39.062 (44.568)	Prec@5 75.000 (75.201)
Epoch: [44][10540/14090]	Time 0.868 (0.766)	Data 0.001 (0.001)	Loss 2.2847 (2.1994)	Prec@1 42.188 (44.568)	Prec@5 71.875 (75.202)
Epoch: [44][10550/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.3521 (2.1995)	Prec@1 39.062 (44.566)	Prec@5 70.312 (75.200)
Epoch: [44][10560/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.2387 (2.1995)	Prec@1 46.094 (44.566)	Prec@5 71.094 (75.200)
Epoch: [44][10570/14090]	Time 0.784 (0.766)	Data 0.001 (0.001)	Loss 2.2328 (2.1994)	Prec@1 47.656 (44.569)	Prec@5 73.438 (75.202)
Epoch: [44][10580/14090]	Time 0.776 (0.766)	Data 0.001 (0.001)	Loss 2.1426 (2.1994)	Prec@1 46.875 (44.570)	Prec@5 77.344 (75.204)
Epoch: [44][10590/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.2214 (2.1994)	Prec@1 44.531 (44.569)	Prec@5 75.781 (75.204)
Epoch: [44][10600/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.0083 (2.1994)	Prec@1 42.969 (44.569)	Prec@5 82.031 (75.204)
Epoch: [44][10610/14090]	Time 0.870 (0.766)	Data 0.001 (0.001)	Loss 1.8419 (2.1994)	Prec@1 58.594 (44.568)	Prec@5 76.562 (75.205)
Epoch: [44][10620/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 1.9698 (2.1994)	Prec@1 45.312 (44.566)	Prec@5 82.812 (75.206)
Epoch: [44][10630/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.3136 (2.1995)	Prec@1 39.062 (44.564)	Prec@5 73.438 (75.204)
Epoch: [44][10640/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.0078 (2.1996)	Prec@1 50.000 (44.564)	Prec@5 78.125 (75.203)
Epoch: [44][10650/14090]	Time 0.776 (0.766)	Data 0.001 (0.001)	Loss 2.2818 (2.1996)	Prec@1 37.500 (44.563)	Prec@5 71.094 (75.202)
Epoch: [44][10660/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.1321 (2.1996)	Prec@1 48.438 (44.564)	Prec@5 71.875 (75.202)
Epoch: [44][10670/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.3426 (2.1996)	Prec@1 43.750 (44.563)	Prec@5 71.875 (75.203)
Epoch: [44][10680/14090]	Time 0.842 (0.766)	Data 0.001 (0.001)	Loss 2.2362 (2.1996)	Prec@1 43.750 (44.564)	Prec@5 73.438 (75.202)
Epoch: [44][10690/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.4468 (2.1996)	Prec@1 37.500 (44.562)	Prec@5 67.969 (75.201)
Epoch: [44][10700/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.4048 (2.1996)	Prec@1 39.844 (44.562)	Prec@5 72.656 (75.200)
Epoch: [44][10710/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 2.0101 (2.1997)	Prec@1 50.781 (44.562)	Prec@5 74.219 (75.199)
Epoch: [44][10720/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 2.2026 (2.1997)	Prec@1 46.875 (44.563)	Prec@5 75.781 (75.200)
Epoch: [44][10730/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.3061 (2.1996)	Prec@1 43.750 (44.563)	Prec@5 72.656 (75.201)
Epoch: [44][10740/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.0911 (2.1995)	Prec@1 53.906 (44.565)	Prec@5 77.344 (75.203)
Epoch: [44][10750/14090]	Time 0.856 (0.766)	Data 0.001 (0.001)	Loss 2.1736 (2.1995)	Prec@1 42.188 (44.564)	Prec@5 76.562 (75.203)
Epoch: [44][10760/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.4250 (2.1995)	Prec@1 40.625 (44.565)	Prec@5 74.219 (75.202)
Epoch: [44][10770/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.3020 (2.1995)	Prec@1 43.750 (44.566)	Prec@5 78.906 (75.203)
Epoch: [44][10780/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.4128 (2.1996)	Prec@1 37.500 (44.565)	Prec@5 68.750 (75.201)
Epoch: [44][10790/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.2726 (2.1996)	Prec@1 40.625 (44.564)	Prec@5 75.781 (75.202)
Epoch: [44][10800/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.4010 (2.1996)	Prec@1 41.406 (44.562)	Prec@5 67.188 (75.201)
Epoch: [44][10810/14090]	Time 0.787 (0.766)	Data 0.001 (0.001)	Loss 2.4857 (2.1997)	Prec@1 36.719 (44.560)	Prec@5 70.312 (75.200)
Epoch: [44][10820/14090]	Time 0.841 (0.766)	Data 0.001 (0.001)	Loss 2.1596 (2.1996)	Prec@1 45.312 (44.561)	Prec@5 77.344 (75.201)
Epoch: [44][10830/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.1483 (2.1997)	Prec@1 42.188 (44.559)	Prec@5 75.000 (75.199)
Epoch: [44][10840/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 1.9560 (2.1997)	Prec@1 54.688 (44.558)	Prec@5 78.906 (75.198)
Epoch: [44][10850/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 2.2390 (2.1998)	Prec@1 45.312 (44.556)	Prec@5 75.000 (75.197)
Epoch: [44][10860/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 2.0925 (2.1998)	Prec@1 41.406 (44.554)	Prec@5 78.125 (75.196)
Epoch: [44][10870/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.2474 (2.1998)	Prec@1 42.188 (44.554)	Prec@5 75.000 (75.195)
Epoch: [44][10880/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.3238 (2.1998)	Prec@1 42.969 (44.555)	Prec@5 75.000 (75.196)
Epoch: [44][10890/14090]	Time 0.863 (0.766)	Data 0.001 (0.001)	Loss 2.0551 (2.1999)	Prec@1 50.000 (44.555)	Prec@5 77.344 (75.196)
Epoch: [44][10900/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 1.7553 (2.1998)	Prec@1 53.906 (44.555)	Prec@5 80.469 (75.196)
Epoch: [44][10910/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.2415 (2.1999)	Prec@1 44.531 (44.554)	Prec@5 76.562 (75.195)
Epoch: [44][10920/14090]	Time 0.789 (0.766)	Data 0.001 (0.001)	Loss 2.1980 (2.1998)	Prec@1 39.062 (44.554)	Prec@5 75.000 (75.194)
Epoch: [44][10930/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.0946 (2.1999)	Prec@1 43.750 (44.551)	Prec@5 78.906 (75.194)
Epoch: [44][10940/14090]	Time 0.767 (0.766)	Data 0.001 (0.001)	Loss 2.2866 (2.1999)	Prec@1 47.656 (44.551)	Prec@5 73.438 (75.194)
Epoch: [44][10950/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.1927 (2.2000)	Prec@1 44.531 (44.551)	Prec@5 71.875 (75.193)
Epoch: [44][10960/14090]	Time 0.888 (0.766)	Data 0.001 (0.001)	Loss 2.2476 (2.2000)	Prec@1 43.750 (44.549)	Prec@5 70.312 (75.191)
Epoch: [44][10970/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.0016 (2.2000)	Prec@1 48.438 (44.550)	Prec@5 78.906 (75.192)
Epoch: [44][10980/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.3610 (2.2001)	Prec@1 42.969 (44.550)	Prec@5 75.781 (75.192)
Epoch: [44][10990/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.1390 (2.2000)	Prec@1 43.750 (44.551)	Prec@5 76.562 (75.191)
Epoch: [44][11000/14090]	Time 0.777 (0.766)	Data 0.001 (0.001)	Loss 1.9008 (2.2000)	Prec@1 50.781 (44.551)	Prec@5 85.156 (75.193)
Epoch: [44][11010/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.1231 (2.2000)	Prec@1 50.000 (44.552)	Prec@5 75.000 (75.194)
Epoch: [44][11020/14090]	Time 0.773 (0.766)	Data 0.001 (0.001)	Loss 2.0614 (2.2000)	Prec@1 45.312 (44.552)	Prec@5 82.812 (75.194)
Epoch: [44][11030/14090]	Time 0.921 (0.766)	Data 0.001 (0.001)	Loss 2.1556 (2.2001)	Prec@1 43.750 (44.551)	Prec@5 77.344 (75.194)
Epoch: [44][11040/14090]	Time 0.724 (0.766)	Data 0.001 (0.001)	Loss 2.0958 (2.2000)	Prec@1 53.125 (44.553)	Prec@5 78.906 (75.195)
Epoch: [44][11050/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.0446 (2.2000)	Prec@1 47.656 (44.552)	Prec@5 73.438 (75.195)
Epoch: [44][11060/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.4910 (2.2001)	Prec@1 41.406 (44.550)	Prec@5 71.094 (75.193)
Epoch: [44][11070/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.2953 (2.2002)	Prec@1 40.625 (44.548)	Prec@5 74.219 (75.193)
Epoch: [44][11080/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 2.1347 (2.2002)	Prec@1 48.438 (44.548)	Prec@5 81.250 (75.194)
Epoch: [44][11090/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.0861 (2.2001)	Prec@1 46.094 (44.549)	Prec@5 82.031 (75.195)
Epoch: [44][11100/14090]	Time 0.849 (0.766)	Data 0.001 (0.001)	Loss 2.0502 (2.2001)	Prec@1 53.906 (44.551)	Prec@5 79.688 (75.196)
Epoch: [44][11110/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.0886 (2.2001)	Prec@1 43.750 (44.550)	Prec@5 76.562 (75.195)
Epoch: [44][11120/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.1032 (2.2001)	Prec@1 46.875 (44.550)	Prec@5 75.000 (75.195)
Epoch: [44][11130/14090]	Time 0.756 (0.766)	Data 0.002 (0.001)	Loss 1.9408 (2.2002)	Prec@1 53.125 (44.550)	Prec@5 80.469 (75.195)
Epoch: [44][11140/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 2.3699 (2.2001)	Prec@1 35.938 (44.550)	Prec@5 74.219 (75.196)
Epoch: [44][11150/14090]	Time 0.724 (0.766)	Data 0.001 (0.001)	Loss 2.2517 (2.2001)	Prec@1 43.750 (44.550)	Prec@5 74.219 (75.195)
Epoch: [44][11160/14090]	Time 0.781 (0.766)	Data 0.001 (0.001)	Loss 2.1761 (2.2002)	Prec@1 38.281 (44.549)	Prec@5 78.906 (75.195)
Epoch: [44][11170/14090]	Time 0.836 (0.766)	Data 0.001 (0.001)	Loss 2.2435 (2.2002)	Prec@1 41.406 (44.549)	Prec@5 75.000 (75.196)
Epoch: [44][11180/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.1529 (2.2002)	Prec@1 42.969 (44.548)	Prec@5 77.344 (75.196)
Epoch: [44][11190/14090]	Time 0.779 (0.766)	Data 0.001 (0.001)	Loss 2.1187 (2.2002)	Prec@1 48.438 (44.547)	Prec@5 75.000 (75.193)
Epoch: [44][11200/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.0960 (2.2002)	Prec@1 46.875 (44.547)	Prec@5 73.438 (75.194)
Epoch: [44][11210/14090]	Time 0.781 (0.766)	Data 0.001 (0.001)	Loss 2.2572 (2.2002)	Prec@1 50.000 (44.547)	Prec@5 77.344 (75.194)
Epoch: [44][11220/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.1977 (2.2002)	Prec@1 39.844 (44.547)	Prec@5 75.000 (75.196)
Epoch: [44][11230/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.2910 (2.2002)	Prec@1 47.656 (44.547)	Prec@5 75.000 (75.197)
Epoch: [44][11240/14090]	Time 0.902 (0.766)	Data 0.001 (0.001)	Loss 2.4246 (2.2001)	Prec@1 41.406 (44.547)	Prec@5 66.406 (75.197)
Epoch: [44][11250/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.3153 (2.2002)	Prec@1 40.625 (44.545)	Prec@5 68.750 (75.195)
Epoch: [44][11260/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.1334 (2.2001)	Prec@1 46.094 (44.547)	Prec@5 74.219 (75.197)
Epoch: [44][11270/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.2950 (2.2001)	Prec@1 42.188 (44.546)	Prec@5 77.344 (75.197)
Epoch: [44][11280/14090]	Time 0.722 (0.766)	Data 0.001 (0.001)	Loss 2.6439 (2.2002)	Prec@1 35.938 (44.546)	Prec@5 64.844 (75.196)
Epoch: [44][11290/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.1086 (2.2002)	Prec@1 47.656 (44.546)	Prec@5 75.781 (75.195)
Epoch: [44][11300/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.2949 (2.2002)	Prec@1 41.406 (44.545)	Prec@5 74.219 (75.195)
Epoch: [44][11310/14090]	Time 0.871 (0.766)	Data 0.001 (0.001)	Loss 2.2629 (2.2002)	Prec@1 40.625 (44.545)	Prec@5 73.438 (75.196)
Epoch: [44][11320/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.4795 (2.2002)	Prec@1 40.625 (44.545)	Prec@5 67.969 (75.195)
Epoch: [44][11330/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 1.8209 (2.2002)	Prec@1 49.219 (44.544)	Prec@5 82.812 (75.195)
Epoch: [44][11340/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.0603 (2.2002)	Prec@1 53.906 (44.544)	Prec@5 78.125 (75.196)
Epoch: [44][11350/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 2.1179 (2.2002)	Prec@1 42.969 (44.544)	Prec@5 75.781 (75.195)
Epoch: [44][11360/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.3478 (2.2002)	Prec@1 39.844 (44.542)	Prec@5 71.094 (75.195)
Epoch: [44][11370/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.2851 (2.2003)	Prec@1 40.625 (44.540)	Prec@5 71.875 (75.194)
Epoch: [44][11380/14090]	Time 0.847 (0.766)	Data 0.001 (0.001)	Loss 2.5359 (2.2004)	Prec@1 39.062 (44.540)	Prec@5 66.406 (75.194)
Epoch: [44][11390/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.2868 (2.2004)	Prec@1 43.750 (44.539)	Prec@5 76.562 (75.195)
Epoch: [44][11400/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.1236 (2.2003)	Prec@1 47.656 (44.542)	Prec@5 75.781 (75.196)
Epoch: [44][11410/14090]	Time 0.779 (0.766)	Data 0.001 (0.001)	Loss 2.1579 (2.2003)	Prec@1 45.312 (44.541)	Prec@5 75.000 (75.196)
Epoch: [44][11420/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.3172 (2.2003)	Prec@1 41.406 (44.541)	Prec@5 72.656 (75.196)
Epoch: [44][11430/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 1.9469 (2.2004)	Prec@1 55.469 (44.542)	Prec@5 78.125 (75.195)
Epoch: [44][11440/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.2063 (2.2003)	Prec@1 42.969 (44.543)	Prec@5 77.344 (75.197)
Epoch: [44][11450/14090]	Time 0.901 (0.766)	Data 0.001 (0.001)	Loss 2.3779 (2.2004)	Prec@1 38.281 (44.541)	Prec@5 73.438 (75.197)
Epoch: [44][11460/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.1268 (2.2004)	Prec@1 50.000 (44.542)	Prec@5 82.031 (75.197)
Epoch: [44][11470/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.4231 (2.2003)	Prec@1 41.406 (44.543)	Prec@5 74.219 (75.198)
Epoch: [44][11480/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.3604 (2.2004)	Prec@1 40.625 (44.542)	Prec@5 74.219 (75.198)
Epoch: [44][11490/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 2.2125 (2.2003)	Prec@1 45.312 (44.543)	Prec@5 78.906 (75.198)
Epoch: [44][11500/14090]	Time 0.759 (0.766)	Data 0.003 (0.001)	Loss 2.2376 (2.2004)	Prec@1 49.219 (44.541)	Prec@5 71.094 (75.197)
Epoch: [44][11510/14090]	Time 0.771 (0.766)	Data 0.001 (0.001)	Loss 2.1788 (2.2003)	Prec@1 46.094 (44.543)	Prec@5 70.312 (75.197)
Epoch: [44][11520/14090]	Time 0.857 (0.766)	Data 0.001 (0.001)	Loss 1.8119 (2.2003)	Prec@1 58.594 (44.542)	Prec@5 86.719 (75.198)
Epoch: [44][11530/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.0754 (2.2002)	Prec@1 46.094 (44.543)	Prec@5 74.219 (75.199)
Epoch: [44][11540/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 1.9398 (2.2003)	Prec@1 52.344 (44.543)	Prec@5 81.250 (75.197)
Epoch: [44][11550/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.3918 (2.2003)	Prec@1 37.500 (44.541)	Prec@5 67.188 (75.196)
Epoch: [44][11560/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.3766 (2.2004)	Prec@1 42.188 (44.538)	Prec@5 74.219 (75.195)
Epoch: [44][11570/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.3278 (2.2004)	Prec@1 41.406 (44.537)	Prec@5 74.219 (75.195)
Epoch: [44][11580/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.1486 (2.2004)	Prec@1 45.312 (44.536)	Prec@5 78.906 (75.195)
Epoch: [44][11590/14090]	Time 0.835 (0.766)	Data 0.001 (0.001)	Loss 1.8881 (2.2004)	Prec@1 50.000 (44.536)	Prec@5 82.812 (75.195)
Epoch: [44][11600/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.0370 (2.2004)	Prec@1 53.125 (44.535)	Prec@5 75.000 (75.195)
Epoch: [44][11610/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.2206 (2.2005)	Prec@1 45.312 (44.535)	Prec@5 76.562 (75.194)
Epoch: [44][11620/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.3710 (2.2005)	Prec@1 39.062 (44.536)	Prec@5 71.875 (75.195)
Epoch: [44][11630/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.2528 (2.2005)	Prec@1 38.281 (44.536)	Prec@5 69.531 (75.195)
Epoch: [44][11640/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.0144 (2.2005)	Prec@1 56.250 (44.537)	Prec@5 77.344 (75.195)
Epoch: [44][11650/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.0480 (2.2005)	Prec@1 51.562 (44.535)	Prec@5 78.125 (75.195)
Epoch: [44][11660/14090]	Time 0.858 (0.766)	Data 0.001 (0.001)	Loss 2.2197 (2.2005)	Prec@1 43.750 (44.535)	Prec@5 76.562 (75.195)
Epoch: [44][11670/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.3745 (2.2006)	Prec@1 37.500 (44.533)	Prec@5 70.312 (75.193)
Epoch: [44][11680/14090]	Time 0.767 (0.766)	Data 0.001 (0.001)	Loss 2.3131 (2.2006)	Prec@1 37.500 (44.532)	Prec@5 74.219 (75.193)
Epoch: [44][11690/14090]	Time 0.780 (0.766)	Data 0.001 (0.001)	Loss 2.1687 (2.2006)	Prec@1 44.531 (44.533)	Prec@5 76.562 (75.194)
Epoch: [44][11700/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.0677 (2.2006)	Prec@1 45.312 (44.534)	Prec@5 75.000 (75.193)
Epoch: [44][11710/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.2584 (2.2006)	Prec@1 47.656 (44.535)	Prec@5 72.656 (75.193)
Epoch: [44][11720/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.3143 (2.2006)	Prec@1 36.719 (44.533)	Prec@5 70.312 (75.193)
Epoch: [44][11730/14090]	Time 0.869 (0.766)	Data 0.001 (0.001)	Loss 2.3188 (2.2006)	Prec@1 42.188 (44.533)	Prec@5 73.438 (75.193)
Epoch: [44][11740/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.2674 (2.2006)	Prec@1 44.531 (44.533)	Prec@5 72.656 (75.193)
Epoch: [44][11750/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.1200 (2.2006)	Prec@1 48.438 (44.535)	Prec@5 73.438 (75.193)
Epoch: [44][11760/14090]	Time 0.778 (0.766)	Data 0.001 (0.001)	Loss 2.2475 (2.2006)	Prec@1 44.531 (44.536)	Prec@5 74.219 (75.193)
Epoch: [44][11770/14090]	Time 0.773 (0.766)	Data 0.001 (0.001)	Loss 2.0576 (2.2006)	Prec@1 48.438 (44.536)	Prec@5 75.781 (75.194)
Epoch: [44][11780/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 2.2270 (2.2006)	Prec@1 50.000 (44.535)	Prec@5 76.562 (75.193)
Epoch: [44][11790/14090]	Time 0.769 (0.766)	Data 0.001 (0.001)	Loss 2.1967 (2.2007)	Prec@1 45.312 (44.534)	Prec@5 76.562 (75.192)
Epoch: [44][11800/14090]	Time 0.892 (0.766)	Data 0.001 (0.001)	Loss 2.4566 (2.2008)	Prec@1 41.406 (44.535)	Prec@5 69.531 (75.190)
Epoch: [44][11810/14090]	Time 0.724 (0.766)	Data 0.001 (0.001)	Loss 2.3984 (2.2007)	Prec@1 42.969 (44.536)	Prec@5 72.656 (75.191)
Epoch: [44][11820/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.2121 (2.2007)	Prec@1 41.406 (44.535)	Prec@5 75.000 (75.192)
Epoch: [44][11830/14090]	Time 0.769 (0.766)	Data 0.001 (0.001)	Loss 2.2126 (2.2007)	Prec@1 42.969 (44.533)	Prec@5 75.781 (75.191)
Epoch: [44][11840/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.5079 (2.2008)	Prec@1 39.844 (44.532)	Prec@5 68.750 (75.190)
Epoch: [44][11850/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.0030 (2.2007)	Prec@1 45.312 (44.534)	Prec@5 77.344 (75.192)
Epoch: [44][11860/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.1977 (2.2007)	Prec@1 41.406 (44.532)	Prec@5 77.344 (75.192)
Epoch: [44][11870/14090]	Time 0.854 (0.766)	Data 0.001 (0.001)	Loss 2.1028 (2.2008)	Prec@1 50.781 (44.531)	Prec@5 78.906 (75.192)
Epoch: [44][11880/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 2.0008 (2.2008)	Prec@1 52.344 (44.530)	Prec@5 76.562 (75.190)
Epoch: [44][11890/14090]	Time 0.717 (0.766)	Data 0.001 (0.001)	Loss 2.1320 (2.2009)	Prec@1 46.875 (44.530)	Prec@5 76.562 (75.188)
Epoch: [44][11900/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.2307 (2.2008)	Prec@1 44.531 (44.531)	Prec@5 78.125 (75.188)
Epoch: [44][11910/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 2.2445 (2.2009)	Prec@1 48.438 (44.530)	Prec@5 69.531 (75.187)
Epoch: [44][11920/14090]	Time 0.756 (0.766)	Data 0.003 (0.001)	Loss 2.3715 (2.2009)	Prec@1 41.406 (44.529)	Prec@5 70.312 (75.187)
Epoch: [44][11930/14090]	Time 0.786 (0.766)	Data 0.001 (0.001)	Loss 2.1822 (2.2008)	Prec@1 48.438 (44.529)	Prec@5 78.125 (75.188)
Epoch: [44][11940/14090]	Time 0.874 (0.766)	Data 0.001 (0.001)	Loss 2.2495 (2.2008)	Prec@1 48.438 (44.531)	Prec@5 72.656 (75.190)
Epoch: [44][11950/14090]	Time 0.777 (0.766)	Data 0.001 (0.001)	Loss 1.8225 (2.2007)	Prec@1 55.469 (44.532)	Prec@5 82.031 (75.191)
Epoch: [44][11960/14090]	Time 0.779 (0.766)	Data 0.001 (0.001)	Loss 2.1796 (2.2007)	Prec@1 43.750 (44.532)	Prec@5 73.438 (75.192)
Epoch: [44][11970/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.2531 (2.2007)	Prec@1 46.094 (44.533)	Prec@5 69.531 (75.191)
Epoch: [44][11980/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 1.9469 (2.2007)	Prec@1 46.875 (44.534)	Prec@5 82.812 (75.192)
Epoch: [44][11990/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.2155 (2.2008)	Prec@1 42.969 (44.533)	Prec@5 78.125 (75.191)
Epoch: [44][12000/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.2632 (2.2008)	Prec@1 42.188 (44.531)	Prec@5 72.656 (75.190)
Epoch: [44][12010/14090]	Time 0.845 (0.766)	Data 0.001 (0.001)	Loss 2.1728 (2.2008)	Prec@1 40.625 (44.531)	Prec@5 74.219 (75.191)
Epoch: [44][12020/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 1.8752 (2.2008)	Prec@1 51.562 (44.530)	Prec@5 84.375 (75.191)
Epoch: [44][12030/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 1.9606 (2.2008)	Prec@1 42.969 (44.529)	Prec@5 80.469 (75.190)
Epoch: [44][12040/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.1982 (2.2008)	Prec@1 43.750 (44.530)	Prec@5 71.875 (75.191)
Epoch: [44][12050/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.1368 (2.2008)	Prec@1 42.969 (44.530)	Prec@5 75.000 (75.192)
Epoch: [44][12060/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.3171 (2.2008)	Prec@1 46.094 (44.530)	Prec@5 69.531 (75.191)
Epoch: [44][12070/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.0186 (2.2008)	Prec@1 45.312 (44.530)	Prec@5 78.906 (75.190)
Epoch: [44][12080/14090]	Time 0.891 (0.766)	Data 0.001 (0.001)	Loss 2.2181 (2.2009)	Prec@1 41.406 (44.528)	Prec@5 75.781 (75.189)
Epoch: [44][12090/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.3942 (2.2009)	Prec@1 43.750 (44.530)	Prec@5 73.438 (75.189)
Epoch: [44][12100/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.2199 (2.2008)	Prec@1 41.406 (44.531)	Prec@5 75.781 (75.190)
Epoch: [44][12110/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.2199 (2.2007)	Prec@1 38.281 (44.531)	Prec@5 74.219 (75.192)
Epoch: [44][12120/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.2873 (2.2008)	Prec@1 42.969 (44.530)	Prec@5 70.312 (75.191)
Epoch: [44][12130/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.0208 (2.2008)	Prec@1 50.000 (44.531)	Prec@5 78.906 (75.192)
Epoch: [44][12140/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.0846 (2.2008)	Prec@1 47.656 (44.532)	Prec@5 81.250 (75.192)
Epoch: [44][12150/14090]	Time 0.838 (0.766)	Data 0.001 (0.001)	Loss 2.0112 (2.2008)	Prec@1 49.219 (44.532)	Prec@5 81.250 (75.193)
Epoch: [44][12160/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.2432 (2.2008)	Prec@1 40.625 (44.530)	Prec@5 74.219 (75.192)
Epoch: [44][12170/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.2418 (2.2007)	Prec@1 44.531 (44.532)	Prec@5 78.125 (75.193)
Epoch: [44][12180/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.0270 (2.2008)	Prec@1 42.188 (44.529)	Prec@5 80.469 (75.192)
Epoch: [44][12190/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 2.1578 (2.2009)	Prec@1 43.750 (44.527)	Prec@5 75.781 (75.190)
Epoch: [44][12200/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 1.9306 (2.2009)	Prec@1 47.656 (44.527)	Prec@5 82.031 (75.190)
Epoch: [44][12210/14090]	Time 0.722 (0.766)	Data 0.001 (0.001)	Loss 2.4481 (2.2009)	Prec@1 45.312 (44.529)	Prec@5 71.875 (75.190)
Epoch: [44][12220/14090]	Time 0.832 (0.766)	Data 0.001 (0.001)	Loss 2.2300 (2.2008)	Prec@1 42.969 (44.529)	Prec@5 71.094 (75.191)
Epoch: [44][12230/14090]	Time 0.800 (0.766)	Data 0.001 (0.001)	Loss 2.2137 (2.2008)	Prec@1 45.312 (44.531)	Prec@5 75.781 (75.191)
Epoch: [44][12240/14090]	Time 0.772 (0.766)	Data 0.001 (0.001)	Loss 2.1277 (2.2007)	Prec@1 48.438 (44.534)	Prec@5 76.562 (75.192)
Epoch: [44][12250/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.3679 (2.2007)	Prec@1 39.844 (44.533)	Prec@5 72.656 (75.191)
Epoch: [44][12260/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.2491 (2.2008)	Prec@1 44.531 (44.532)	Prec@5 77.344 (75.191)
Epoch: [44][12270/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.2127 (2.2008)	Prec@1 42.969 (44.533)	Prec@5 74.219 (75.191)
Epoch: [44][12280/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.4249 (2.2008)	Prec@1 33.594 (44.532)	Prec@5 72.656 (75.190)
Epoch: [44][12290/14090]	Time 0.859 (0.766)	Data 0.001 (0.001)	Loss 2.0538 (2.2009)	Prec@1 55.469 (44.532)	Prec@5 76.562 (75.190)
Epoch: [44][12300/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.2559 (2.2009)	Prec@1 39.062 (44.533)	Prec@5 73.438 (75.191)
Epoch: [44][12310/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.0816 (2.2008)	Prec@1 47.656 (44.533)	Prec@5 75.781 (75.191)
Epoch: [44][12320/14090]	Time 0.724 (0.766)	Data 0.001 (0.001)	Loss 2.0022 (2.2008)	Prec@1 55.469 (44.535)	Prec@5 75.781 (75.191)
Epoch: [44][12330/14090]	Time 0.765 (0.766)	Data 0.001 (0.001)	Loss 2.4956 (2.2008)	Prec@1 42.188 (44.534)	Prec@5 71.094 (75.192)
Epoch: [44][12340/14090]	Time 0.774 (0.766)	Data 0.001 (0.001)	Loss 2.4778 (2.2008)	Prec@1 39.062 (44.534)	Prec@5 73.438 (75.192)
Epoch: [44][12350/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.0911 (2.2008)	Prec@1 46.094 (44.535)	Prec@5 81.250 (75.191)
Epoch: [44][12360/14090]	Time 0.883 (0.766)	Data 0.001 (0.001)	Loss 2.3309 (2.2008)	Prec@1 41.406 (44.534)	Prec@5 71.875 (75.190)
Epoch: [44][12370/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.3697 (2.2009)	Prec@1 41.406 (44.534)	Prec@5 72.656 (75.191)
Epoch: [44][12380/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.3218 (2.2010)	Prec@1 38.281 (44.533)	Prec@5 74.219 (75.189)
Epoch: [44][12390/14090]	Time 0.773 (0.766)	Data 0.001 (0.001)	Loss 2.1063 (2.2009)	Prec@1 47.656 (44.534)	Prec@5 72.656 (75.190)
Epoch: [44][12400/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.1308 (2.2010)	Prec@1 44.531 (44.533)	Prec@5 76.562 (75.189)
Epoch: [44][12410/14090]	Time 0.724 (0.766)	Data 0.001 (0.001)	Loss 2.3564 (2.2010)	Prec@1 45.312 (44.533)	Prec@5 70.312 (75.189)
Epoch: [44][12420/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.2895 (2.2010)	Prec@1 42.188 (44.532)	Prec@5 74.219 (75.187)
Epoch: [44][12430/14090]	Time 0.851 (0.766)	Data 0.001 (0.001)	Loss 2.1269 (2.2010)	Prec@1 42.188 (44.531)	Prec@5 80.469 (75.188)
Epoch: [44][12440/14090]	Time 0.759 (0.766)	Data 0.003 (0.001)	Loss 2.1575 (2.2010)	Prec@1 47.656 (44.531)	Prec@5 78.125 (75.189)
Epoch: [44][12450/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.3310 (2.2010)	Prec@1 39.844 (44.532)	Prec@5 70.312 (75.190)
Epoch: [44][12460/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.1746 (2.2010)	Prec@1 43.750 (44.531)	Prec@5 75.781 (75.190)
Epoch: [44][12470/14090]	Time 0.775 (0.766)	Data 0.001 (0.001)	Loss 2.3393 (2.2010)	Prec@1 41.406 (44.531)	Prec@5 70.312 (75.190)
Epoch: [44][12480/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 1.9760 (2.2010)	Prec@1 47.656 (44.531)	Prec@5 82.812 (75.190)
Epoch: [44][12490/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 2.3023 (2.2011)	Prec@1 39.844 (44.529)	Prec@5 71.875 (75.189)
Epoch: [44][12500/14090]	Time 0.874 (0.766)	Data 0.001 (0.001)	Loss 2.2409 (2.2011)	Prec@1 40.625 (44.528)	Prec@5 75.781 (75.188)
Epoch: [44][12510/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.2945 (2.2011)	Prec@1 45.312 (44.528)	Prec@5 74.219 (75.188)
Epoch: [44][12520/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.3041 (2.2011)	Prec@1 37.500 (44.531)	Prec@5 75.000 (75.186)
Epoch: [44][12530/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 1.8622 (2.2011)	Prec@1 50.781 (44.531)	Prec@5 78.125 (75.185)
Epoch: [44][12540/14090]	Time 0.721 (0.766)	Data 0.001 (0.001)	Loss 2.0971 (2.2012)	Prec@1 46.875 (44.530)	Prec@5 75.781 (75.185)
Epoch: [44][12550/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.1767 (2.2012)	Prec@1 44.531 (44.530)	Prec@5 75.781 (75.185)
Epoch: [44][12560/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 2.0619 (2.2011)	Prec@1 46.094 (44.531)	Prec@5 75.781 (75.186)
Epoch: [44][12570/14090]	Time 0.892 (0.766)	Data 0.001 (0.001)	Loss 2.4195 (2.2011)	Prec@1 42.188 (44.531)	Prec@5 71.094 (75.187)
Epoch: [44][12580/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 2.1472 (2.2011)	Prec@1 39.844 (44.529)	Prec@5 78.906 (75.189)
Epoch: [44][12590/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.3547 (2.2012)	Prec@1 36.719 (44.527)	Prec@5 73.438 (75.187)
Epoch: [44][12600/14090]	Time 0.777 (0.766)	Data 0.001 (0.001)	Loss 2.1068 (2.2012)	Prec@1 46.094 (44.528)	Prec@5 78.125 (75.188)
Epoch: [44][12610/14090]	Time 0.778 (0.766)	Data 0.001 (0.001)	Loss 2.1992 (2.2011)	Prec@1 53.125 (44.529)	Prec@5 73.438 (75.189)
Epoch: [44][12620/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.2114 (2.2011)	Prec@1 39.062 (44.530)	Prec@5 78.125 (75.191)
Epoch: [44][12630/14090]	Time 0.767 (0.766)	Data 0.001 (0.001)	Loss 2.4664 (2.2011)	Prec@1 42.969 (44.531)	Prec@5 74.219 (75.191)
Epoch: [44][12640/14090]	Time 0.896 (0.766)	Data 0.001 (0.001)	Loss 2.2625 (2.2011)	Prec@1 46.875 (44.530)	Prec@5 73.438 (75.190)
Epoch: [44][12650/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.2966 (2.2011)	Prec@1 44.531 (44.532)	Prec@5 75.781 (75.192)
Epoch: [44][12660/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.2297 (2.2011)	Prec@1 45.312 (44.533)	Prec@5 74.219 (75.193)
Epoch: [44][12670/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.3033 (2.2010)	Prec@1 45.312 (44.535)	Prec@5 67.188 (75.193)
Epoch: [44][12680/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.3721 (2.2010)	Prec@1 42.188 (44.535)	Prec@5 71.094 (75.193)
Epoch: [44][12690/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.4764 (2.2010)	Prec@1 39.062 (44.534)	Prec@5 70.312 (75.192)
Epoch: [44][12700/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.1473 (2.2010)	Prec@1 42.969 (44.535)	Prec@5 79.688 (75.192)
Epoch: [44][12710/14090]	Time 0.870 (0.766)	Data 0.001 (0.001)	Loss 2.4109 (2.2012)	Prec@1 39.062 (44.532)	Prec@5 71.094 (75.190)
Epoch: [44][12720/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.1664 (2.2011)	Prec@1 42.188 (44.535)	Prec@5 75.781 (75.191)
Epoch: [44][12730/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.4711 (2.2012)	Prec@1 38.281 (44.534)	Prec@5 74.219 (75.189)
Epoch: [44][12740/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 1.9451 (2.2012)	Prec@1 44.531 (44.535)	Prec@5 77.344 (75.189)
Epoch: [44][12750/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 2.2626 (2.2012)	Prec@1 46.094 (44.536)	Prec@5 73.438 (75.189)
Epoch: [44][12760/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.1362 (2.2013)	Prec@1 43.750 (44.533)	Prec@5 78.125 (75.188)
Epoch: [44][12770/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 1.9721 (2.2013)	Prec@1 44.531 (44.534)	Prec@5 80.469 (75.188)
Epoch: [44][12780/14090]	Time 0.846 (0.766)	Data 0.001 (0.001)	Loss 2.2441 (2.2013)	Prec@1 43.750 (44.533)	Prec@5 75.000 (75.188)
Epoch: [44][12790/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.3707 (2.2013)	Prec@1 40.625 (44.535)	Prec@5 71.875 (75.189)
Epoch: [44][12800/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.1325 (2.2013)	Prec@1 44.531 (44.534)	Prec@5 80.469 (75.189)
Epoch: [44][12810/14090]	Time 0.785 (0.766)	Data 0.001 (0.001)	Loss 2.2695 (2.2013)	Prec@1 43.750 (44.534)	Prec@5 71.094 (75.188)
Epoch: [44][12820/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 1.9799 (2.2013)	Prec@1 42.188 (44.533)	Prec@5 82.031 (75.188)
Epoch: [44][12830/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.3150 (2.2014)	Prec@1 41.406 (44.532)	Prec@5 72.656 (75.187)
Epoch: [44][12840/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.2017 (2.2013)	Prec@1 46.875 (44.534)	Prec@5 73.438 (75.189)
Epoch: [44][12850/14090]	Time 0.910 (0.766)	Data 0.001 (0.001)	Loss 2.1421 (2.2013)	Prec@1 43.750 (44.535)	Prec@5 80.469 (75.190)
Epoch: [44][12860/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 2.0872 (2.2012)	Prec@1 46.875 (44.535)	Prec@5 72.656 (75.190)
Epoch: [44][12870/14090]	Time 0.718 (0.766)	Data 0.001 (0.001)	Loss 2.1318 (2.2012)	Prec@1 45.312 (44.534)	Prec@5 75.781 (75.190)
Epoch: [44][12880/14090]	Time 0.769 (0.766)	Data 0.001 (0.001)	Loss 2.2941 (2.2012)	Prec@1 41.406 (44.535)	Prec@5 71.875 (75.191)
Epoch: [44][12890/14090]	Time 0.776 (0.766)	Data 0.001 (0.001)	Loss 2.2527 (2.2012)	Prec@1 39.844 (44.537)	Prec@5 72.656 (75.191)
Epoch: [44][12900/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.3518 (2.2011)	Prec@1 40.625 (44.536)	Prec@5 67.969 (75.191)
Epoch: [44][12910/14090]	Time 0.774 (0.766)	Data 0.001 (0.001)	Loss 2.2651 (2.2012)	Prec@1 40.625 (44.533)	Prec@5 75.000 (75.190)
Epoch: [44][12920/14090]	Time 0.878 (0.766)	Data 0.001 (0.001)	Loss 1.9415 (2.2011)	Prec@1 56.250 (44.535)	Prec@5 76.562 (75.191)
Epoch: [44][12930/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.1774 (2.2011)	Prec@1 41.406 (44.536)	Prec@5 72.656 (75.192)
Epoch: [44][12940/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.0524 (2.2011)	Prec@1 48.438 (44.537)	Prec@5 75.781 (75.193)
Epoch: [44][12950/14090]	Time 0.762 (0.766)	Data 0.003 (0.001)	Loss 2.0142 (2.2010)	Prec@1 48.438 (44.538)	Prec@5 75.781 (75.194)
Epoch: [44][12960/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.1414 (2.2011)	Prec@1 45.312 (44.538)	Prec@5 77.344 (75.192)
Epoch: [44][12970/14090]	Time 0.729 (0.766)	Data 0.002 (0.001)	Loss 1.9223 (2.2011)	Prec@1 50.000 (44.537)	Prec@5 78.906 (75.192)
Epoch: [44][12980/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.2073 (2.2011)	Prec@1 42.188 (44.536)	Prec@5 71.875 (75.191)
Epoch: [44][12990/14090]	Time 0.872 (0.766)	Data 0.001 (0.001)	Loss 2.2359 (2.2011)	Prec@1 41.406 (44.535)	Prec@5 75.781 (75.190)
Epoch: [44][13000/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 1.9145 (2.2011)	Prec@1 47.656 (44.536)	Prec@5 85.938 (75.191)
Epoch: [44][13010/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.4371 (2.2011)	Prec@1 41.406 (44.536)	Prec@5 66.406 (75.190)
Epoch: [44][13020/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.3988 (2.2012)	Prec@1 35.156 (44.535)	Prec@5 70.312 (75.190)
Epoch: [44][13030/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.0023 (2.2011)	Prec@1 53.906 (44.536)	Prec@5 80.469 (75.190)
Epoch: [44][13040/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.3131 (2.2012)	Prec@1 39.062 (44.535)	Prec@5 73.438 (75.191)
Epoch: [44][13050/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.5261 (2.2012)	Prec@1 39.844 (44.534)	Prec@5 71.094 (75.189)
Epoch: [44][13060/14090]	Time 0.870 (0.766)	Data 0.001 (0.001)	Loss 2.2222 (2.2012)	Prec@1 44.531 (44.534)	Prec@5 75.000 (75.190)
Epoch: [44][13070/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.2755 (2.2012)	Prec@1 42.188 (44.533)	Prec@5 71.875 (75.189)
Epoch: [44][13080/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.2098 (2.2012)	Prec@1 39.062 (44.534)	Prec@5 76.562 (75.190)
Epoch: [44][13090/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.1841 (2.2012)	Prec@1 39.844 (44.535)	Prec@5 74.219 (75.189)
Epoch: [44][13100/14090]	Time 0.772 (0.766)	Data 0.001 (0.001)	Loss 2.3920 (2.2012)	Prec@1 40.625 (44.534)	Prec@5 68.750 (75.189)
Epoch: [44][13110/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.2627 (2.2012)	Prec@1 46.875 (44.533)	Prec@5 75.781 (75.189)
Epoch: [44][13120/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.4131 (2.2013)	Prec@1 41.406 (44.532)	Prec@5 74.219 (75.188)
Epoch: [44][13130/14090]	Time 0.876 (0.766)	Data 0.001 (0.001)	Loss 2.2999 (2.2013)	Prec@1 42.188 (44.532)	Prec@5 74.219 (75.188)
Epoch: [44][13140/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.0301 (2.2012)	Prec@1 52.344 (44.535)	Prec@5 78.906 (75.190)
Epoch: [44][13150/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 2.3929 (2.2012)	Prec@1 39.844 (44.537)	Prec@5 71.094 (75.190)
Epoch: [44][13160/14090]	Time 0.722 (0.766)	Data 0.001 (0.001)	Loss 2.1975 (2.2012)	Prec@1 42.188 (44.537)	Prec@5 69.531 (75.188)
Epoch: [44][13170/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 2.2546 (2.2012)	Prec@1 46.094 (44.537)	Prec@5 74.219 (75.188)
Epoch: [44][13180/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.1322 (2.2012)	Prec@1 46.875 (44.537)	Prec@5 78.125 (75.188)
Epoch: [44][13190/14090]	Time 0.767 (0.766)	Data 0.001 (0.001)	Loss 2.0848 (2.2013)	Prec@1 50.000 (44.538)	Prec@5 80.469 (75.188)
Epoch: [44][13200/14090]	Time 0.897 (0.766)	Data 0.001 (0.001)	Loss 2.2697 (2.2013)	Prec@1 38.281 (44.537)	Prec@5 72.656 (75.187)
Epoch: [44][13210/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.4305 (2.2013)	Prec@1 42.969 (44.537)	Prec@5 74.219 (75.187)
Epoch: [44][13220/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.1342 (2.2013)	Prec@1 50.000 (44.537)	Prec@5 79.688 (75.186)
Epoch: [44][13230/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.2841 (2.2013)	Prec@1 41.406 (44.538)	Prec@5 72.656 (75.187)
Epoch: [44][13240/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.4837 (2.2012)	Prec@1 37.500 (44.537)	Prec@5 70.312 (75.188)
Epoch: [44][13250/14090]	Time 0.756 (0.766)	Data 0.000 (0.001)	Loss 2.4262 (2.2013)	Prec@1 43.750 (44.538)	Prec@5 66.406 (75.187)
Epoch: [44][13260/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.3220 (2.2013)	Prec@1 42.188 (44.536)	Prec@5 74.219 (75.185)
Epoch: [44][13270/14090]	Time 0.842 (0.766)	Data 0.001 (0.001)	Loss 2.2040 (2.2013)	Prec@1 46.094 (44.535)	Prec@5 77.344 (75.184)
Epoch: [44][13280/14090]	Time 0.720 (0.766)	Data 0.001 (0.001)	Loss 2.3622 (2.2013)	Prec@1 46.875 (44.536)	Prec@5 69.531 (75.184)
Epoch: [44][13290/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.2934 (2.2013)	Prec@1 39.062 (44.535)	Prec@5 74.219 (75.185)
Epoch: [44][13300/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.1262 (2.2013)	Prec@1 37.500 (44.533)	Prec@5 76.562 (75.184)
Epoch: [44][13310/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.1279 (2.2013)	Prec@1 44.531 (44.533)	Prec@5 78.906 (75.185)
Epoch: [44][13320/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.1225 (2.2014)	Prec@1 48.438 (44.532)	Prec@5 75.000 (75.184)
Epoch: [44][13330/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.0377 (2.2014)	Prec@1 43.750 (44.531)	Prec@5 78.125 (75.184)
Epoch: [44][13340/14090]	Time 0.865 (0.766)	Data 0.001 (0.001)	Loss 2.0159 (2.2014)	Prec@1 53.125 (44.533)	Prec@5 75.781 (75.183)
Epoch: [44][13350/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 2.1710 (2.2014)	Prec@1 48.438 (44.533)	Prec@5 71.875 (75.182)
Epoch: [44][13360/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.1483 (2.2013)	Prec@1 40.625 (44.534)	Prec@5 76.562 (75.184)
Epoch: [44][13370/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.1379 (2.2013)	Prec@1 45.312 (44.534)	Prec@5 77.344 (75.184)
Epoch: [44][13380/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.1591 (2.2013)	Prec@1 53.906 (44.536)	Prec@5 74.219 (75.184)
Epoch: [44][13390/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 1.9795 (2.2013)	Prec@1 52.344 (44.536)	Prec@5 81.250 (75.185)
Epoch: [44][13400/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.1964 (2.2013)	Prec@1 40.625 (44.536)	Prec@5 74.219 (75.184)
Epoch: [44][13410/14090]	Time 0.827 (0.766)	Data 0.001 (0.001)	Loss 2.5591 (2.2014)	Prec@1 39.844 (44.536)	Prec@5 70.312 (75.183)
Epoch: [44][13420/14090]	Time 0.765 (0.766)	Data 0.001 (0.001)	Loss 2.1829 (2.2013)	Prec@1 47.656 (44.538)	Prec@5 73.438 (75.184)
Epoch: [44][13430/14090]	Time 0.773 (0.766)	Data 0.001 (0.001)	Loss 2.1347 (2.2013)	Prec@1 44.531 (44.538)	Prec@5 75.000 (75.184)
Epoch: [44][13440/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.1364 (2.2013)	Prec@1 45.312 (44.538)	Prec@5 75.000 (75.184)
Epoch: [44][13450/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.1881 (2.2013)	Prec@1 45.312 (44.538)	Prec@5 73.438 (75.184)
Epoch: [44][13460/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 1.9545 (2.2013)	Prec@1 48.438 (44.538)	Prec@5 79.688 (75.184)
Epoch: [44][13470/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 1.9709 (2.2013)	Prec@1 45.312 (44.536)	Prec@5 77.344 (75.183)
Epoch: [44][13480/14090]	Time 0.856 (0.766)	Data 0.001 (0.001)	Loss 2.0715 (2.2013)	Prec@1 50.000 (44.537)	Prec@5 79.688 (75.185)
Epoch: [44][13490/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 2.3467 (2.2013)	Prec@1 42.969 (44.537)	Prec@5 70.312 (75.184)
Epoch: [44][13500/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.5231 (2.2013)	Prec@1 39.062 (44.535)	Prec@5 67.969 (75.183)
Epoch: [44][13510/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.3380 (2.2014)	Prec@1 44.531 (44.534)	Prec@5 71.094 (75.183)
Epoch: [44][13520/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 2.1247 (2.2013)	Prec@1 42.969 (44.535)	Prec@5 80.469 (75.182)
Epoch: [44][13530/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.4307 (2.2014)	Prec@1 42.969 (44.535)	Prec@5 71.875 (75.181)
Epoch: [44][13540/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.3656 (2.2014)	Prec@1 36.719 (44.532)	Prec@5 75.000 (75.180)
Epoch: [44][13550/14090]	Time 0.867 (0.766)	Data 0.001 (0.001)	Loss 1.8721 (2.2014)	Prec@1 44.531 (44.533)	Prec@5 81.250 (75.180)
Epoch: [44][13560/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 2.1937 (2.2015)	Prec@1 38.281 (44.530)	Prec@5 80.469 (75.179)
Epoch: [44][13570/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.3221 (2.2015)	Prec@1 42.188 (44.531)	Prec@5 73.438 (75.179)
Epoch: [44][13580/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.3262 (2.2016)	Prec@1 39.062 (44.529)	Prec@5 78.125 (75.178)
Epoch: [44][13590/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.2915 (2.2016)	Prec@1 45.312 (44.528)	Prec@5 72.656 (75.178)
Epoch: [44][13600/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.1208 (2.2016)	Prec@1 45.312 (44.529)	Prec@5 75.000 (75.178)
Epoch: [44][13610/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 1.9790 (2.2016)	Prec@1 48.438 (44.529)	Prec@5 84.375 (75.178)
Epoch: [44][13620/14090]	Time 0.883 (0.766)	Data 0.001 (0.001)	Loss 2.2464 (2.2016)	Prec@1 44.531 (44.528)	Prec@5 74.219 (75.177)
Epoch: [44][13630/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.2914 (2.2016)	Prec@1 41.406 (44.528)	Prec@5 76.562 (75.177)
Epoch: [44][13640/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.1672 (2.2016)	Prec@1 45.312 (44.528)	Prec@5 74.219 (75.177)
Epoch: [44][13650/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 1.9841 (2.2016)	Prec@1 47.656 (44.528)	Prec@5 79.688 (75.177)
Epoch: [44][13660/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.1298 (2.2015)	Prec@1 46.875 (44.529)	Prec@5 78.125 (75.179)
Epoch: [44][13670/14090]	Time 0.772 (0.766)	Data 0.001 (0.001)	Loss 2.1926 (2.2015)	Prec@1 42.188 (44.529)	Prec@5 76.562 (75.179)
Epoch: [44][13680/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.2848 (2.2016)	Prec@1 41.406 (44.528)	Prec@5 74.219 (75.178)
Epoch: [44][13690/14090]	Time 0.843 (0.766)	Data 0.001 (0.001)	Loss 2.1375 (2.2015)	Prec@1 46.875 (44.529)	Prec@5 75.000 (75.179)
Epoch: [44][13700/14090]	Time 0.767 (0.766)	Data 0.001 (0.001)	Loss 2.0764 (2.2015)	Prec@1 50.781 (44.530)	Prec@5 75.781 (75.180)
Epoch: [44][13710/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 1.9646 (2.2015)	Prec@1 50.781 (44.530)	Prec@5 78.906 (75.180)
Epoch: [44][13720/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.3982 (2.2016)	Prec@1 45.312 (44.530)	Prec@5 71.094 (75.179)
Epoch: [44][13730/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.1833 (2.2015)	Prec@1 36.719 (44.530)	Prec@5 75.781 (75.179)
Epoch: [44][13740/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.2121 (2.2015)	Prec@1 50.000 (44.530)	Prec@5 78.906 (75.178)
Epoch: [44][13750/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 2.3559 (2.2016)	Prec@1 40.625 (44.529)	Prec@5 77.344 (75.178)
Epoch: [44][13760/14090]	Time 0.882 (0.766)	Data 0.001 (0.001)	Loss 2.2651 (2.2016)	Prec@1 42.969 (44.527)	Prec@5 75.000 (75.178)
Epoch: [44][13770/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.5190 (2.2016)	Prec@1 38.281 (44.526)	Prec@5 71.094 (75.178)
Epoch: [44][13780/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.6749 (2.2017)	Prec@1 37.500 (44.526)	Prec@5 71.875 (75.177)
Epoch: [44][13790/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 2.2350 (2.2017)	Prec@1 50.781 (44.525)	Prec@5 73.438 (75.177)
Epoch: [44][13800/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.5178 (2.2017)	Prec@1 37.500 (44.526)	Prec@5 71.094 (75.178)
Epoch: [44][13810/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.0615 (2.2017)	Prec@1 42.969 (44.526)	Prec@5 76.562 (75.179)
Epoch: [44][13820/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.1743 (2.2017)	Prec@1 45.312 (44.525)	Prec@5 72.656 (75.179)
Epoch: [44][13830/14090]	Time 0.863 (0.766)	Data 0.001 (0.001)	Loss 1.8339 (2.2017)	Prec@1 52.344 (44.527)	Prec@5 83.594 (75.180)
Epoch: [44][13840/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.2808 (2.2017)	Prec@1 41.406 (44.526)	Prec@5 76.562 (75.179)
Epoch: [44][13850/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.0864 (2.2017)	Prec@1 48.438 (44.526)	Prec@5 75.781 (75.179)
Epoch: [44][13860/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.6189 (2.2017)	Prec@1 38.281 (44.526)	Prec@5 67.969 (75.179)
Epoch: [44][13870/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.3039 (2.2016)	Prec@1 41.406 (44.527)	Prec@5 73.438 (75.179)
Epoch: [44][13880/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 2.2002 (2.2017)	Prec@1 32.812 (44.525)	Prec@5 78.125 (75.178)
Epoch: [44][13890/14090]	Time 0.723 (0.766)	Data 0.001 (0.001)	Loss 2.1337 (2.2017)	Prec@1 46.875 (44.524)	Prec@5 75.000 (75.176)
Epoch: [44][13900/14090]	Time 0.821 (0.766)	Data 0.001 (0.001)	Loss 2.4032 (2.2017)	Prec@1 45.312 (44.525)	Prec@5 68.750 (75.177)
Epoch: [44][13910/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.4482 (2.2017)	Prec@1 35.156 (44.525)	Prec@5 73.438 (75.177)
Epoch: [44][13920/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.3258 (2.2017)	Prec@1 39.062 (44.525)	Prec@5 72.656 (75.177)
Epoch: [44][13930/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 2.3295 (2.2017)	Prec@1 39.844 (44.524)	Prec@5 75.000 (75.177)
Epoch: [44][13940/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.4817 (2.2019)	Prec@1 38.281 (44.521)	Prec@5 70.312 (75.175)
Epoch: [44][13950/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.4164 (2.2019)	Prec@1 38.281 (44.522)	Prec@5 73.438 (75.175)
Epoch: [44][13960/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.2637 (2.2018)	Prec@1 46.094 (44.523)	Prec@5 79.688 (75.176)
Epoch: [44][13970/14090]	Time 0.911 (0.766)	Data 0.001 (0.001)	Loss 2.0568 (2.2019)	Prec@1 50.781 (44.522)	Prec@5 80.469 (75.176)
Epoch: [44][13980/14090]	Time 0.779 (0.766)	Data 0.001 (0.001)	Loss 2.1174 (2.2018)	Prec@1 46.094 (44.522)	Prec@5 78.125 (75.177)
Epoch: [44][13990/14090]	Time 0.768 (0.766)	Data 0.001 (0.001)	Loss 1.9816 (2.2018)	Prec@1 43.750 (44.522)	Prec@5 78.906 (75.178)
Epoch: [44][14000/14090]	Time 0.771 (0.766)	Data 0.001 (0.001)	Loss 2.1568 (2.2018)	Prec@1 45.312 (44.521)	Prec@5 78.125 (75.177)
Epoch: [44][14010/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.1863 (2.2019)	Prec@1 46.094 (44.520)	Prec@5 78.125 (75.176)
Epoch: [44][14020/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 2.2956 (2.2019)	Prec@1 45.312 (44.521)	Prec@5 73.438 (75.176)
Epoch: [44][14030/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.2624 (2.2018)	Prec@1 43.750 (44.521)	Prec@5 75.781 (75.177)
Epoch: [44][14040/14090]	Time 0.848 (0.766)	Data 0.001 (0.001)	Loss 2.0855 (2.2018)	Prec@1 44.531 (44.521)	Prec@5 78.125 (75.178)
Epoch: [44][14050/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.5377 (2.2018)	Prec@1 38.281 (44.520)	Prec@5 73.438 (75.179)
Epoch: [44][14060/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.1919 (2.2018)	Prec@1 41.406 (44.520)	Prec@5 71.094 (75.178)
Epoch: [44][14070/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.1991 (2.2018)	Prec@1 41.406 (44.521)	Prec@5 75.781 (75.179)
Epoch: [44][14080/14090]	Time 0.736 (0.766)	Data 0.000 (0.001)	Loss 2.1448 (2.2017)	Prec@1 47.656 (44.523)	Prec@5 78.125 (75.179)
Test: [0/286]	Time 4.859 (4.859)	Loss 1.1021 (1.1021)	Prec@1 68.750 (68.750)	Prec@5 94.531 (94.531)
Test: [10/286]	Time 0.246 (0.783)	Loss 1.9290 (1.8772)	Prec@1 48.438 (50.923)	Prec@5 83.594 (83.523)
Test: [20/286]	Time 0.228 (0.594)	Loss 1.5559 (1.8770)	Prec@1 59.375 (50.632)	Prec@5 89.062 (82.887)
Test: [30/286]	Time 0.228 (0.521)	Loss 1.9144 (1.8187)	Prec@1 55.469 (52.697)	Prec@5 79.688 (83.140)
Test: [40/286]	Time 1.322 (0.516)	Loss 2.1324 (1.8579)	Prec@1 39.844 (51.353)	Prec@5 82.031 (82.508)
Test: [50/286]	Time 0.248 (0.496)	Loss 0.6480 (1.8612)	Prec@1 87.500 (51.225)	Prec@5 93.750 (82.583)
Test: [60/286]	Time 0.231 (0.477)	Loss 2.8007 (1.9069)	Prec@1 37.500 (50.576)	Prec@5 67.188 (81.250)
Test: [70/286]	Time 0.228 (0.463)	Loss 0.9728 (1.8775)	Prec@1 76.562 (51.133)	Prec@5 93.750 (81.690)
Test: [80/286]	Time 0.777 (0.459)	Loss 2.2341 (1.9201)	Prec@1 39.062 (49.913)	Prec@5 78.906 (80.980)
Test: [90/286]	Time 0.390 (0.459)	Loss 2.1929 (1.9138)	Prec@1 45.312 (50.094)	Prec@5 78.906 (81.250)
Test: [100/286]	Time 0.313 (0.451)	Loss 2.5870 (1.9325)	Prec@1 21.875 (49.397)	Prec@5 76.562 (81.235)
Test: [110/286]	Time 0.232 (0.442)	Loss 2.5967 (1.9403)	Prec@1 37.500 (49.141)	Prec@5 67.188 (81.370)
Test: [120/286]	Time 0.427 (0.443)	Loss 1.2981 (1.9089)	Prec@1 71.094 (50.103)	Prec@5 86.719 (81.799)
Test: [130/286]	Time 0.249 (0.440)	Loss 0.8467 (1.8885)	Prec@1 75.000 (50.716)	Prec@5 96.875 (82.007)
Test: [140/286]	Time 0.768 (0.440)	Loss 2.2854 (1.8936)	Prec@1 46.094 (50.510)	Prec@5 76.562 (81.854)
Test: [150/286]	Time 0.239 (0.437)	Loss 2.7478 (1.9106)	Prec@1 24.219 (49.959)	Prec@5 72.656 (81.633)
Test: [160/286]	Time 0.727 (0.436)	Loss 2.7339 (1.9021)	Prec@1 22.656 (50.189)	Prec@5 61.719 (81.716)
Test: [170/286]	Time 0.847 (0.437)	Loss 1.8917 (1.8884)	Prec@1 47.656 (50.411)	Prec@5 85.938 (81.976)
Test: [180/286]	Time 0.349 (0.435)	Loss 1.9827 (1.9044)	Prec@1 57.031 (50.099)	Prec@5 78.125 (81.690)
Test: [190/286]	Time 0.291 (0.434)	Loss 2.9807 (1.9159)	Prec@1 20.312 (49.787)	Prec@5 70.312 (81.712)
Test: [200/286]	Time 0.307 (0.432)	Loss 2.1216 (1.9115)	Prec@1 46.094 (49.934)	Prec@5 82.031 (81.740)
Test: [210/286]	Time 0.687 (0.433)	Loss 1.9046 (1.9158)	Prec@1 51.562 (49.833)	Prec@5 82.812 (81.657)
Test: [220/286]	Time 0.777 (0.434)	Loss 2.9349 (1.9228)	Prec@1 20.312 (49.731)	Prec@5 65.625 (81.529)
Test: [230/286]	Time 0.229 (0.432)	Loss 1.5427 (1.9254)	Prec@1 65.625 (49.652)	Prec@5 82.812 (81.419)
Test: [240/286]	Time 0.315 (0.430)	Loss 2.2086 (1.9231)	Prec@1 49.219 (49.835)	Prec@5 75.781 (81.477)
Test: [250/286]	Time 0.308 (0.429)	Loss 1.4923 (1.9158)	Prec@1 60.938 (49.910)	Prec@5 86.719 (81.645)
Test: [260/286]	Time 1.418 (0.432)	Loss 1.8394 (1.9075)	Prec@1 50.781 (50.060)	Prec@5 85.938 (81.819)
Test: [270/286]	Time 0.241 (0.431)	Loss 1.4729 (1.9091)	Prec@1 65.625 (50.037)	Prec@5 87.500 (81.778)
Test: [280/286]	Time 0.235 (0.429)	Loss 2.2435 (1.8937)	Prec@1 36.719 (50.500)	Prec@5 84.375 (81.926)
 * Prec@1 50.607 Prec@5 81.923
Epoch: [45][0/14090]	Time 5.857 (5.857)	Data 5.094 (5.094)	Loss 2.1723 (2.1723)	Prec@1 42.188 (42.188)	Prec@5 78.906 (78.906)
Epoch: [45][10/14090]	Time 0.871 (1.226)	Data 0.001 (0.464)	Loss 2.1891 (2.1742)	Prec@1 45.312 (45.455)	Prec@5 74.219 (75.071)
Epoch: [45][20/14090]	Time 0.742 (0.998)	Data 0.001 (0.243)	Loss 2.0798 (2.1562)	Prec@1 42.969 (45.387)	Prec@5 76.562 (75.744)
Epoch: [45][30/14090]	Time 0.745 (0.919)	Data 0.001 (0.165)	Loss 2.1600 (2.1782)	Prec@1 43.750 (44.304)	Prec@5 75.781 (75.252)
Epoch: [45][40/14090]	Time 0.752 (0.884)	Data 0.001 (0.125)	Loss 2.2728 (2.1627)	Prec@1 43.750 (44.989)	Prec@5 75.000 (75.648)
Epoch: [45][50/14090]	Time 0.752 (0.860)	Data 0.001 (0.101)	Loss 1.8951 (2.1589)	Prec@1 57.031 (45.358)	Prec@5 79.688 (75.643)
Epoch: [45][60/14090]	Time 0.732 (0.848)	Data 0.001 (0.084)	Loss 2.0999 (2.1641)	Prec@1 53.125 (45.581)	Prec@5 77.344 (75.551)
Epoch: [45][70/14090]	Time 0.739 (0.836)	Data 0.001 (0.073)	Loss 2.5327 (2.1641)	Prec@1 39.062 (45.742)	Prec@5 71.875 (75.638)
Epoch: [45][80/14090]	Time 0.867 (0.830)	Data 0.001 (0.064)	Loss 2.1968 (2.1634)	Prec@1 42.969 (45.640)	Prec@5 77.344 (75.733)
Epoch: [45][90/14090]	Time 0.735 (0.822)	Data 0.001 (0.057)	Loss 2.0931 (2.1550)	Prec@1 52.344 (45.836)	Prec@5 75.781 (75.773)
Epoch: [45][100/14090]	Time 0.748 (0.816)	Data 0.001 (0.051)	Loss 2.1670 (2.1553)	Prec@1 41.406 (45.777)	Prec@5 75.000 (75.851)
Epoch: [45][110/14090]	Time 0.745 (0.813)	Data 0.001 (0.047)	Loss 2.2477 (2.1555)	Prec@1 46.875 (45.728)	Prec@5 74.219 (75.859)
Epoch: [45][120/14090]	Time 0.774 (0.809)	Data 0.001 (0.043)	Loss 2.0865 (2.1555)	Prec@1 49.219 (45.719)	Prec@5 76.562 (75.826)
Epoch: [45][130/14090]	Time 0.742 (0.806)	Data 0.001 (0.040)	Loss 2.4622 (2.1643)	Prec@1 39.844 (45.599)	Prec@5 71.875 (75.686)
Epoch: [45][140/14090]	Time 0.782 (0.804)	Data 0.001 (0.037)	Loss 2.1891 (2.1622)	Prec@1 49.219 (45.601)	Prec@5 73.438 (75.715)
Epoch: [45][150/14090]	Time 0.868 (0.802)	Data 0.001 (0.035)	Loss 2.4154 (2.1668)	Prec@1 40.625 (45.499)	Prec@5 71.875 (75.636)
Epoch: [45][160/14090]	Time 0.748 (0.799)	Data 0.001 (0.032)	Loss 2.0208 (2.1654)	Prec@1 50.000 (45.516)	Prec@5 78.125 (75.689)
Epoch: [45][170/14090]	Time 0.744 (0.797)	Data 0.001 (0.031)	Loss 2.1966 (2.1647)	Prec@1 41.406 (45.477)	Prec@5 75.000 (75.694)
Epoch: [45][180/14090]	Time 0.764 (0.796)	Data 0.001 (0.029)	Loss 2.5149 (2.1671)	Prec@1 35.156 (45.386)	Prec@5 71.094 (75.708)
Epoch: [45][190/14090]	Time 0.739 (0.794)	Data 0.001 (0.028)	Loss 2.1721 (2.1678)	Prec@1 42.188 (45.390)	Prec@5 75.000 (75.659)
Epoch: [45][200/14090]	Time 0.750 (0.793)	Data 0.001 (0.026)	Loss 2.5618 (2.1690)	Prec@1 38.281 (45.355)	Prec@5 69.531 (75.641)
Epoch: [45][210/14090]	Time 0.742 (0.791)	Data 0.002 (0.025)	Loss 2.3735 (2.1697)	Prec@1 43.750 (45.372)	Prec@5 68.750 (75.578)
Epoch: [45][220/14090]	Time 0.861 (0.790)	Data 0.001 (0.024)	Loss 2.2281 (2.1724)	Prec@1 42.969 (45.298)	Prec@5 81.250 (75.551)
Epoch: [45][230/14090]	Time 0.768 (0.790)	Data 0.001 (0.023)	Loss 2.0397 (2.1768)	Prec@1 44.531 (45.228)	Prec@5 81.250 (75.501)
Epoch: [45][240/14090]	Time 0.732 (0.789)	Data 0.001 (0.022)	Loss 1.9441 (2.1762)	Prec@1 50.781 (45.277)	Prec@5 82.031 (75.522)
Epoch: [45][250/14090]	Time 0.760 (0.789)	Data 0.001 (0.021)	Loss 2.1505 (2.1773)	Prec@1 42.969 (45.263)	Prec@5 72.656 (75.486)
Epoch: [45][260/14090]	Time 0.762 (0.788)	Data 0.001 (0.020)	Loss 2.0993 (2.1787)	Prec@1 50.781 (45.250)	Prec@5 75.781 (75.407)
Epoch: [45][270/14090]	Time 0.734 (0.787)	Data 0.001 (0.020)	Loss 2.2270 (2.1805)	Prec@1 39.844 (45.240)	Prec@5 74.219 (75.375)
Epoch: [45][280/14090]	Time 0.782 (0.786)	Data 0.001 (0.019)	Loss 2.1554 (2.1801)	Prec@1 50.781 (45.237)	Prec@5 73.438 (75.373)
Epoch: [45][290/14090]	Time 0.869 (0.786)	Data 0.001 (0.018)	Loss 2.2187 (2.1799)	Prec@1 42.188 (45.189)	Prec@5 75.781 (75.387)
Epoch: [45][300/14090]	Time 0.778 (0.785)	Data 0.001 (0.018)	Loss 1.9643 (2.1800)	Prec@1 50.781 (45.222)	Prec@5 75.781 (75.371)
Epoch: [45][310/14090]	Time 0.766 (0.784)	Data 0.001 (0.017)	Loss 2.0299 (2.1797)	Prec@1 48.438 (45.220)	Prec@5 82.812 (75.382)
Epoch: [45][320/14090]	Time 0.733 (0.784)	Data 0.001 (0.017)	Loss 2.0087 (2.1759)	Prec@1 48.438 (45.320)	Prec@5 79.688 (75.479)
Epoch: [45][330/14090]	Time 0.741 (0.784)	Data 0.001 (0.016)	Loss 2.2932 (2.1773)	Prec@1 45.312 (45.320)	Prec@5 75.000 (75.460)
Epoch: [45][340/14090]	Time 0.739 (0.784)	Data 0.001 (0.016)	Loss 1.9265 (2.1771)	Prec@1 47.656 (45.315)	Prec@5 81.250 (75.454)
Epoch: [45][350/14090]	Time 0.749 (0.783)	Data 0.001 (0.015)	Loss 2.1982 (2.1760)	Prec@1 46.094 (45.359)	Prec@5 78.125 (75.447)
Epoch: [45][360/14090]	Time 0.818 (0.782)	Data 0.001 (0.015)	Loss 2.1869 (2.1762)	Prec@1 39.062 (45.287)	Prec@5 75.781 (75.474)
Epoch: [45][370/14090]	Time 0.760 (0.782)	Data 0.001 (0.015)	Loss 2.1669 (2.1754)	Prec@1 46.094 (45.270)	Prec@5 78.906 (75.491)
Epoch: [45][380/14090]	Time 0.744 (0.781)	Data 0.001 (0.014)	Loss 2.5334 (2.1765)	Prec@1 35.938 (45.198)	Prec@5 70.312 (75.484)
Epoch: [45][390/14090]	Time 0.781 (0.781)	Data 0.001 (0.014)	Loss 2.3731 (2.1768)	Prec@1 48.438 (45.165)	Prec@5 71.875 (75.472)
Epoch: [45][400/14090]	Time 0.731 (0.780)	Data 0.001 (0.014)	Loss 2.1667 (2.1774)	Prec@1 42.188 (45.151)	Prec@5 75.000 (75.470)
Epoch: [45][410/14090]	Time 0.756 (0.780)	Data 0.001 (0.013)	Loss 2.1513 (2.1779)	Prec@1 48.438 (45.115)	Prec@5 76.562 (75.466)
Epoch: [45][420/14090]	Time 0.725 (0.780)	Data 0.001 (0.013)	Loss 1.7761 (2.1750)	Prec@1 53.906 (45.173)	Prec@5 82.812 (75.507)
Epoch: [45][430/14090]	Time 0.834 (0.779)	Data 0.001 (0.013)	Loss 2.0953 (2.1754)	Prec@1 50.000 (45.177)	Prec@5 74.219 (75.502)
Epoch: [45][440/14090]	Time 0.771 (0.779)	Data 0.001 (0.012)	Loss 2.2066 (2.1781)	Prec@1 44.531 (45.103)	Prec@5 74.219 (75.452)
Epoch: [45][450/14090]	Time 0.733 (0.778)	Data 0.001 (0.012)	Loss 2.2728 (2.1804)	Prec@1 44.531 (45.046)	Prec@5 71.875 (75.400)
Epoch: [45][460/14090]	Time 0.778 (0.778)	Data 0.001 (0.012)	Loss 2.1915 (2.1808)	Prec@1 42.188 (45.043)	Prec@5 70.312 (75.393)
Epoch: [45][470/14090]	Time 0.756 (0.778)	Data 0.001 (0.012)	Loss 2.3778 (2.1832)	Prec@1 43.750 (45.032)	Prec@5 69.531 (75.337)
Epoch: [45][480/14090]	Time 0.736 (0.778)	Data 0.001 (0.011)	Loss 2.1577 (2.1831)	Prec@1 43.750 (45.001)	Prec@5 75.781 (75.367)
Epoch: [45][490/14090]	Time 0.741 (0.777)	Data 0.001 (0.011)	Loss 2.3143 (2.1815)	Prec@1 43.750 (45.032)	Prec@5 71.875 (75.401)
Epoch: [45][500/14090]	Time 0.898 (0.777)	Data 0.001 (0.011)	Loss 2.5743 (2.1825)	Prec@1 35.156 (45.013)	Prec@5 70.312 (75.391)
Epoch: [45][510/14090]	Time 0.739 (0.777)	Data 0.001 (0.011)	Loss 1.9597 (2.1823)	Prec@1 48.438 (45.013)	Prec@5 82.031 (75.402)
Epoch: [45][520/14090]	Time 0.754 (0.777)	Data 0.001 (0.011)	Loss 2.4352 (2.1825)	Prec@1 36.719 (45.005)	Prec@5 74.219 (75.390)
Epoch: [45][530/14090]	Time 0.752 (0.776)	Data 0.001 (0.010)	Loss 2.3097 (2.1824)	Prec@1 46.875 (45.009)	Prec@5 71.875 (75.391)
Epoch: [45][540/14090]	Time 0.751 (0.776)	Data 0.001 (0.010)	Loss 2.3891 (2.1826)	Prec@1 40.625 (44.995)	Prec@5 73.438 (75.394)
Epoch: [45][550/14090]	Time 0.740 (0.776)	Data 0.001 (0.010)	Loss 2.1875 (2.1828)	Prec@1 49.219 (44.972)	Prec@5 74.219 (75.391)
Epoch: [45][560/14090]	Time 0.732 (0.776)	Data 0.001 (0.010)	Loss 2.1247 (2.1815)	Prec@1 41.406 (44.974)	Prec@5 78.906 (75.416)
Epoch: [45][570/14090]	Time 0.840 (0.776)	Data 0.002 (0.010)	Loss 2.1273 (2.1803)	Prec@1 42.969 (45.017)	Prec@5 78.906 (75.447)
Epoch: [45][580/14090]	Time 0.738 (0.775)	Data 0.001 (0.010)	Loss 2.0281 (2.1803)	Prec@1 48.438 (45.007)	Prec@5 77.344 (75.473)
Epoch: [45][590/14090]	Time 0.770 (0.775)	Data 0.001 (0.009)	Loss 2.2928 (2.1795)	Prec@1 46.094 (45.051)	Prec@5 73.438 (75.493)
Epoch: [45][600/14090]	Time 0.753 (0.775)	Data 0.001 (0.009)	Loss 2.1970 (2.1789)	Prec@1 39.844 (45.028)	Prec@5 75.781 (75.511)
Epoch: [45][610/14090]	Time 0.726 (0.775)	Data 0.001 (0.009)	Loss 1.9708 (2.1773)	Prec@1 53.125 (45.076)	Prec@5 75.781 (75.541)
Epoch: [45][620/14090]	Time 0.736 (0.775)	Data 0.001 (0.009)	Loss 2.1473 (2.1765)	Prec@1 47.656 (45.081)	Prec@5 73.438 (75.567)
Epoch: [45][630/14090]	Time 0.743 (0.774)	Data 0.001 (0.009)	Loss 2.1271 (2.1756)	Prec@1 48.438 (45.111)	Prec@5 73.438 (75.582)
Epoch: [45][640/14090]	Time 0.822 (0.774)	Data 0.001 (0.009)	Loss 2.2432 (2.1736)	Prec@1 51.562 (45.171)	Prec@5 71.094 (75.622)
Epoch: [45][650/14090]	Time 0.774 (0.774)	Data 0.001 (0.009)	Loss 2.0220 (2.1735)	Prec@1 43.750 (45.161)	Prec@5 78.906 (75.624)
Epoch: [45][660/14090]	Time 0.750 (0.774)	Data 0.001 (0.009)	Loss 1.9959 (2.1730)	Prec@1 47.656 (45.158)	Prec@5 80.469 (75.622)
Epoch: [45][670/14090]	Time 0.762 (0.774)	Data 0.001 (0.008)	Loss 2.3559 (2.1730)	Prec@1 46.094 (45.147)	Prec@5 72.656 (75.608)
Epoch: [45][680/14090]	Time 0.756 (0.774)	Data 0.001 (0.008)	Loss 2.1774 (2.1724)	Prec@1 47.656 (45.154)	Prec@5 80.469 (75.629)
Epoch: [45][690/14090]	Time 0.756 (0.774)	Data 0.001 (0.008)	Loss 1.8575 (2.1727)	Prec@1 47.656 (45.100)	Prec@5 84.375 (75.639)
Epoch: [45][700/14090]	Time 0.755 (0.774)	Data 0.001 (0.008)	Loss 2.2858 (2.1731)	Prec@1 42.188 (45.082)	Prec@5 71.875 (75.640)
Epoch: [45][710/14090]	Time 1.035 (0.775)	Data 0.001 (0.008)	Loss 2.2564 (2.1739)	Prec@1 41.406 (45.069)	Prec@5 72.656 (75.642)
Epoch: [45][720/14090]	Time 0.746 (0.774)	Data 0.001 (0.008)	Loss 2.1168 (2.1733)	Prec@1 44.531 (45.061)	Prec@5 79.688 (75.663)
Epoch: [45][730/14090]	Time 0.741 (0.774)	Data 0.001 (0.008)	Loss 2.3046 (2.1743)	Prec@1 45.312 (45.043)	Prec@5 75.000 (75.655)
Epoch: [45][740/14090]	Time 0.761 (0.774)	Data 0.001 (0.008)	Loss 2.4130 (2.1742)	Prec@1 36.719 (45.032)	Prec@5 72.656 (75.668)
Epoch: [45][750/14090]	Time 0.763 (0.774)	Data 0.001 (0.008)	Loss 2.0465 (2.1732)	Prec@1 47.656 (45.048)	Prec@5 74.219 (75.705)
Epoch: [45][760/14090]	Time 0.735 (0.774)	Data 0.001 (0.008)	Loss 1.8493 (2.1726)	Prec@1 52.344 (45.035)	Prec@5 82.031 (75.711)
Epoch: [45][770/14090]	Time 0.735 (0.774)	Data 0.001 (0.007)	Loss 2.1215 (2.1724)	Prec@1 42.969 (45.054)	Prec@5 75.781 (75.717)
Epoch: [45][780/14090]	Time 0.867 (0.774)	Data 0.001 (0.007)	Loss 2.3260 (2.1731)	Prec@1 42.969 (45.044)	Prec@5 75.000 (75.716)
Epoch: [45][790/14090]	Time 0.740 (0.774)	Data 0.001 (0.007)	Loss 2.2818 (2.1728)	Prec@1 40.625 (45.039)	Prec@5 71.875 (75.711)
Epoch: [45][800/14090]	Time 0.731 (0.774)	Data 0.001 (0.007)	Loss 2.3871 (2.1721)	Prec@1 40.625 (45.031)	Prec@5 70.312 (75.713)
Epoch: [45][810/14090]	Time 0.736 (0.774)	Data 0.001 (0.007)	Loss 2.4396 (2.1713)	Prec@1 42.969 (45.043)	Prec@5 73.438 (75.724)
Epoch: [45][820/14090]	Time 0.734 (0.773)	Data 0.001 (0.007)	Loss 2.5335 (2.1714)	Prec@1 36.719 (45.048)	Prec@5 64.844 (75.730)
Epoch: [45][830/14090]	Time 0.756 (0.774)	Data 0.001 (0.007)	Loss 2.2053 (2.1719)	Prec@1 44.531 (45.039)	Prec@5 75.000 (75.726)
Epoch: [45][840/14090]	Time 0.726 (0.773)	Data 0.001 (0.007)	Loss 1.9377 (2.1712)	Prec@1 48.438 (45.032)	Prec@5 81.250 (75.755)
Epoch: [45][850/14090]	Time 0.864 (0.773)	Data 0.001 (0.007)	Loss 1.9972 (2.1713)	Prec@1 50.000 (45.043)	Prec@5 77.344 (75.743)
Epoch: [45][860/14090]	Time 0.750 (0.773)	Data 0.001 (0.007)	Loss 2.5230 (2.1724)	Prec@1 41.406 (45.018)	Prec@5 67.969 (75.724)
Epoch: [45][870/14090]	Time 0.742 (0.773)	Data 0.001 (0.007)	Loss 2.2626 (2.1724)	Prec@1 46.094 (45.004)	Prec@5 74.219 (75.724)
Epoch: [45][880/14090]	Time 0.729 (0.773)	Data 0.001 (0.007)	Loss 2.2467 (2.1729)	Prec@1 46.875 (44.997)	Prec@5 74.219 (75.708)
Epoch: [45][890/14090]	Time 0.769 (0.773)	Data 0.001 (0.007)	Loss 2.3203 (2.1730)	Prec@1 44.531 (44.994)	Prec@5 70.312 (75.708)
Epoch: [45][900/14090]	Time 0.735 (0.773)	Data 0.001 (0.007)	Loss 2.2401 (2.1736)	Prec@1 41.406 (44.993)	Prec@5 82.812 (75.710)
Epoch: [45][910/14090]	Time 0.759 (0.773)	Data 0.001 (0.006)	Loss 2.6651 (2.1746)	Prec@1 27.344 (44.973)	Prec@5 67.188 (75.701)
Epoch: [45][920/14090]	Time 0.833 (0.773)	Data 0.001 (0.006)	Loss 2.1121 (2.1740)	Prec@1 39.844 (44.999)	Prec@5 75.781 (75.710)
Epoch: [45][930/14090]	Time 0.758 (0.773)	Data 0.001 (0.006)	Loss 2.3069 (2.1738)	Prec@1 36.719 (45.002)	Prec@5 71.875 (75.707)
Epoch: [45][940/14090]	Time 0.756 (0.773)	Data 0.001 (0.006)	Loss 2.0813 (2.1744)	Prec@1 45.312 (44.985)	Prec@5 73.438 (75.692)
Epoch: [45][950/14090]	Time 0.766 (0.773)	Data 0.001 (0.006)	Loss 2.2780 (2.1753)	Prec@1 39.062 (44.962)	Prec@5 71.094 (75.674)
Epoch: [45][960/14090]	Time 0.751 (0.773)	Data 0.001 (0.006)	Loss 2.2166 (2.1745)	Prec@1 44.531 (44.969)	Prec@5 72.656 (75.687)
Epoch: [45][970/14090]	Time 0.733 (0.772)	Data 0.001 (0.006)	Loss 2.2082 (2.1736)	Prec@1 42.969 (44.991)	Prec@5 72.656 (75.693)
Epoch: [45][980/14090]	Time 0.748 (0.772)	Data 0.001 (0.006)	Loss 2.0345 (2.1740)	Prec@1 46.875 (44.989)	Prec@5 75.781 (75.677)
Epoch: [45][990/14090]	Time 0.878 (0.772)	Data 0.003 (0.006)	Loss 2.3925 (2.1737)	Prec@1 38.281 (44.996)	Prec@5 71.094 (75.676)
Epoch: [45][1000/14090]	Time 0.726 (0.772)	Data 0.001 (0.006)	Loss 2.2084 (2.1743)	Prec@1 46.875 (44.994)	Prec@5 78.125 (75.663)
Epoch: [45][1010/14090]	Time 0.748 (0.772)	Data 0.001 (0.006)	Loss 2.2984 (2.1752)	Prec@1 42.188 (44.984)	Prec@5 74.219 (75.641)
Epoch: [45][1020/14090]	Time 0.746 (0.772)	Data 0.001 (0.006)	Loss 2.0814 (2.1748)	Prec@1 50.000 (44.995)	Prec@5 75.781 (75.644)
Epoch: [45][1030/14090]	Time 0.736 (0.772)	Data 0.001 (0.006)	Loss 2.3186 (2.1752)	Prec@1 39.062 (44.986)	Prec@5 71.875 (75.637)
Epoch: [45][1040/14090]	Time 0.730 (0.772)	Data 0.001 (0.006)	Loss 2.1218 (2.1755)	Prec@1 49.219 (44.976)	Prec@5 81.250 (75.640)
Epoch: [45][1050/14090]	Time 0.762 (0.772)	Data 0.001 (0.006)	Loss 2.1814 (2.1752)	Prec@1 46.094 (44.976)	Prec@5 78.125 (75.656)
Epoch: [45][1060/14090]	Time 0.869 (0.772)	Data 0.001 (0.006)	Loss 2.2286 (2.1755)	Prec@1 44.531 (44.957)	Prec@5 82.812 (75.662)
Epoch: [45][1070/14090]	Time 0.736 (0.772)	Data 0.001 (0.006)	Loss 2.0922 (2.1751)	Prec@1 48.438 (44.970)	Prec@5 72.656 (75.657)
Epoch: [45][1080/14090]	Time 0.733 (0.772)	Data 0.001 (0.006)	Loss 2.1813 (2.1751)	Prec@1 42.969 (44.973)	Prec@5 71.875 (75.645)
Epoch: [45][1090/14090]	Time 0.756 (0.772)	Data 0.001 (0.006)	Loss 2.2311 (2.1750)	Prec@1 46.094 (44.972)	Prec@5 75.000 (75.649)
Epoch: [45][1100/14090]	Time 0.738 (0.771)	Data 0.001 (0.005)	Loss 2.2181 (2.1753)	Prec@1 42.969 (44.972)	Prec@5 75.781 (75.645)
Epoch: [45][1110/14090]	Time 0.745 (0.772)	Data 0.001 (0.005)	Loss 2.2610 (2.1749)	Prec@1 39.844 (44.969)	Prec@5 71.094 (75.650)
Epoch: [45][1120/14090]	Time 0.758 (0.771)	Data 0.002 (0.005)	Loss 2.5785 (2.1748)	Prec@1 37.500 (44.969)	Prec@5 68.750 (75.650)
Epoch: [45][1130/14090]	Time 0.870 (0.772)	Data 0.001 (0.005)	Loss 2.4667 (2.1749)	Prec@1 40.625 (44.956)	Prec@5 67.188 (75.651)
Epoch: [45][1140/14090]	Time 0.758 (0.771)	Data 0.001 (0.005)	Loss 2.3980 (2.1747)	Prec@1 41.406 (44.958)	Prec@5 78.125 (75.669)
Epoch: [45][1150/14090]	Time 0.750 (0.772)	Data 0.001 (0.005)	Loss 2.4077 (2.1757)	Prec@1 44.531 (44.934)	Prec@5 67.188 (75.654)
Epoch: [45][1160/14090]	Time 0.749 (0.771)	Data 0.001 (0.005)	Loss 2.3564 (2.1760)	Prec@1 39.844 (44.940)	Prec@5 70.312 (75.644)
Epoch: [45][1170/14090]	Time 0.764 (0.771)	Data 0.001 (0.005)	Loss 2.0255 (2.1757)	Prec@1 49.219 (44.946)	Prec@5 76.562 (75.640)
Epoch: [45][1180/14090]	Time 0.730 (0.771)	Data 0.001 (0.005)	Loss 2.1565 (2.1760)	Prec@1 48.438 (44.949)	Prec@5 75.781 (75.632)
Epoch: [45][1190/14090]	Time 0.727 (0.771)	Data 0.001 (0.005)	Loss 1.8024 (2.1758)	Prec@1 47.656 (44.942)	Prec@5 85.938 (75.645)
Epoch: [45][1200/14090]	Time 0.851 (0.771)	Data 0.001 (0.005)	Loss 2.2299 (2.1764)	Prec@1 45.312 (44.929)	Prec@5 71.094 (75.632)
Epoch: [45][1210/14090]	Time 0.762 (0.771)	Data 0.001 (0.005)	Loss 2.3705 (2.1765)	Prec@1 40.625 (44.924)	Prec@5 75.000 (75.627)
Epoch: [45][1220/14090]	Time 0.748 (0.771)	Data 0.001 (0.005)	Loss 2.2816 (2.1769)	Prec@1 41.406 (44.922)	Prec@5 71.875 (75.621)
Epoch: [45][1230/14090]	Time 0.765 (0.771)	Data 0.001 (0.005)	Loss 2.0163 (2.1777)	Prec@1 49.219 (44.915)	Prec@5 75.781 (75.593)
Epoch: [45][1240/14090]	Time 0.733 (0.771)	Data 0.001 (0.005)	Loss 2.5613 (2.1787)	Prec@1 39.844 (44.897)	Prec@5 67.969 (75.571)
Epoch: [45][1250/14090]	Time 0.744 (0.771)	Data 0.001 (0.005)	Loss 2.1309 (2.1785)	Prec@1 43.750 (44.900)	Prec@5 77.344 (75.573)
Epoch: [45][1260/14090]	Time 0.775 (0.771)	Data 0.001 (0.005)	Loss 2.1561 (2.1782)	Prec@1 42.188 (44.904)	Prec@5 78.125 (75.582)
Epoch: [45][1270/14090]	Time 0.896 (0.771)	Data 0.001 (0.005)	Loss 2.0472 (2.1792)	Prec@1 48.438 (44.885)	Prec@5 76.562 (75.568)
Epoch: [45][1280/14090]	Time 0.754 (0.771)	Data 0.001 (0.005)	Loss 2.2946 (2.1790)	Prec@1 46.094 (44.905)	Prec@5 69.531 (75.572)
Epoch: [45][1290/14090]	Time 0.745 (0.771)	Data 0.001 (0.005)	Loss 2.3697 (2.1793)	Prec@1 44.531 (44.912)	Prec@5 69.531 (75.568)
Epoch: [45][1300/14090]	Time 0.733 (0.771)	Data 0.001 (0.005)	Loss 1.9881 (2.1800)	Prec@1 53.125 (44.908)	Prec@5 78.906 (75.558)
Epoch: [45][1310/14090]	Time 0.752 (0.771)	Data 0.001 (0.005)	Loss 2.1884 (2.1804)	Prec@1 47.656 (44.900)	Prec@5 74.219 (75.555)
Epoch: [45][1320/14090]	Time 0.735 (0.771)	Data 0.001 (0.005)	Loss 2.2999 (2.1803)	Prec@1 46.875 (44.914)	Prec@5 72.656 (75.561)
Epoch: [45][1330/14090]	Time 0.747 (0.771)	Data 0.001 (0.005)	Loss 2.2627 (2.1804)	Prec@1 42.188 (44.912)	Prec@5 69.531 (75.555)
Epoch: [45][1340/14090]	Time 0.861 (0.771)	Data 0.001 (0.005)	Loss 2.0797 (2.1801)	Prec@1 46.094 (44.906)	Prec@5 76.562 (75.557)
Epoch: [45][1350/14090]	Time 0.737 (0.770)	Data 0.001 (0.005)	Loss 2.1315 (2.1804)	Prec@1 45.312 (44.903)	Prec@5 75.000 (75.550)
Epoch: [45][1360/14090]	Time 0.727 (0.770)	Data 0.001 (0.005)	Loss 1.8922 (2.1801)	Prec@1 47.656 (44.915)	Prec@5 78.906 (75.556)
Epoch: [45][1370/14090]	Time 0.734 (0.770)	Data 0.001 (0.005)	Loss 2.2857 (2.1800)	Prec@1 39.844 (44.906)	Prec@5 79.688 (75.564)
Epoch: [45][1380/14090]	Time 0.738 (0.770)	Data 0.001 (0.005)	Loss 2.1535 (2.1801)	Prec@1 38.281 (44.896)	Prec@5 75.781 (75.563)
Epoch: [45][1390/14090]	Time 0.719 (0.770)	Data 0.001 (0.005)	Loss 1.9368 (2.1794)	Prec@1 47.656 (44.900)	Prec@5 81.250 (75.575)
Epoch: [45][1400/14090]	Time 0.744 (0.770)	Data 0.001 (0.004)	Loss 2.2769 (2.1794)	Prec@1 46.875 (44.905)	Prec@5 71.094 (75.570)
Epoch: [45][1410/14090]	Time 0.880 (0.770)	Data 0.001 (0.004)	Loss 2.1996 (2.1792)	Prec@1 43.750 (44.901)	Prec@5 72.656 (75.565)
Epoch: [45][1420/14090]	Time 0.734 (0.770)	Data 0.001 (0.004)	Loss 1.9671 (2.1790)	Prec@1 53.906 (44.905)	Prec@5 76.562 (75.576)
Epoch: [45][1430/14090]	Time 0.737 (0.770)	Data 0.001 (0.004)	Loss 2.0603 (2.1790)	Prec@1 51.562 (44.905)	Prec@5 78.125 (75.574)
Epoch: [45][1440/14090]	Time 0.728 (0.770)	Data 0.001 (0.004)	Loss 2.1067 (2.1792)	Prec@1 49.219 (44.910)	Prec@5 75.781 (75.580)
Epoch: [45][1450/14090]	Time 0.732 (0.770)	Data 0.001 (0.004)	Loss 2.1936 (2.1787)	Prec@1 46.875 (44.922)	Prec@5 73.438 (75.577)
Epoch: [45][1460/14090]	Time 0.750 (0.770)	Data 0.001 (0.004)	Loss 2.1029 (2.1783)	Prec@1 45.312 (44.918)	Prec@5 81.250 (75.593)
Epoch: [45][1470/14090]	Time 0.770 (0.770)	Data 0.001 (0.004)	Loss 2.0944 (2.1782)	Prec@1 48.438 (44.918)	Prec@5 75.781 (75.590)
Epoch: [45][1480/14090]	Time 0.871 (0.770)	Data 0.001 (0.004)	Loss 2.1039 (2.1784)	Prec@1 45.312 (44.912)	Prec@5 74.219 (75.581)
Epoch: [45][1490/14090]	Time 0.775 (0.770)	Data 0.001 (0.004)	Loss 2.2732 (2.1784)	Prec@1 41.406 (44.915)	Prec@5 74.219 (75.581)
Epoch: [45][1500/14090]	Time 0.771 (0.770)	Data 0.001 (0.004)	Loss 2.3006 (2.1788)	Prec@1 46.094 (44.904)	Prec@5 71.094 (75.566)
Epoch: [45][1510/14090]	Time 0.745 (0.770)	Data 0.001 (0.004)	Loss 1.8059 (2.1784)	Prec@1 53.125 (44.913)	Prec@5 77.344 (75.570)
Epoch: [45][1520/14090]	Time 0.733 (0.770)	Data 0.001 (0.004)	Loss 2.1074 (2.1780)	Prec@1 41.406 (44.927)	Prec@5 77.344 (75.578)
Epoch: [45][1530/14090]	Time 0.758 (0.770)	Data 0.001 (0.004)	Loss 1.9617 (2.1775)	Prec@1 46.875 (44.926)	Prec@5 79.688 (75.583)
Epoch: [45][1540/14090]	Time 0.755 (0.770)	Data 0.001 (0.004)	Loss 2.2079 (2.1784)	Prec@1 42.188 (44.904)	Prec@5 75.781 (75.566)
Epoch: [45][1550/14090]	Time 0.888 (0.770)	Data 0.001 (0.004)	Loss 2.3040 (2.1784)	Prec@1 46.875 (44.906)	Prec@5 70.312 (75.567)
Epoch: [45][1560/14090]	Time 0.738 (0.769)	Data 0.001 (0.004)	Loss 1.9393 (2.1783)	Prec@1 52.344 (44.910)	Prec@5 78.125 (75.570)
Epoch: [45][1570/14090]	Time 0.727 (0.769)	Data 0.001 (0.004)	Loss 2.5981 (2.1786)	Prec@1 37.500 (44.906)	Prec@5 69.531 (75.567)
Epoch: [45][1580/14090]	Time 0.746 (0.769)	Data 0.001 (0.004)	Loss 2.3466 (2.1786)	Prec@1 42.188 (44.900)	Prec@5 74.219 (75.570)
Epoch: [45][1590/14090]	Time 0.750 (0.769)	Data 0.001 (0.004)	Loss 2.3588 (2.1784)	Prec@1 44.531 (44.893)	Prec@5 70.312 (75.575)
Epoch: [45][1600/14090]	Time 0.753 (0.769)	Data 0.001 (0.004)	Loss 2.0013 (2.1781)	Prec@1 47.656 (44.895)	Prec@5 75.781 (75.584)
Epoch: [45][1610/14090]	Time 0.723 (0.769)	Data 0.001 (0.004)	Loss 2.3315 (2.1785)	Prec@1 44.531 (44.890)	Prec@5 71.094 (75.583)
Epoch: [45][1620/14090]	Time 1.004 (0.769)	Data 0.001 (0.004)	Loss 2.5543 (2.1787)	Prec@1 43.750 (44.886)	Prec@5 71.875 (75.587)
Epoch: [45][1630/14090]	Time 0.776 (0.769)	Data 0.001 (0.004)	Loss 2.3392 (2.1789)	Prec@1 44.531 (44.883)	Prec@5 75.000 (75.582)
Epoch: [45][1640/14090]	Time 0.746 (0.769)	Data 0.001 (0.004)	Loss 2.0495 (2.1784)	Prec@1 45.312 (44.901)	Prec@5 82.031 (75.594)
Epoch: [45][1650/14090]	Time 0.784 (0.769)	Data 0.001 (0.004)	Loss 2.1067 (2.1783)	Prec@1 48.438 (44.910)	Prec@5 78.125 (75.600)
Epoch: [45][1660/14090]	Time 0.735 (0.769)	Data 0.001 (0.004)	Loss 1.9241 (2.1777)	Prec@1 46.875 (44.916)	Prec@5 78.125 (75.603)
Epoch: [45][1670/14090]	Time 0.763 (0.769)	Data 0.001 (0.004)	Loss 2.3574 (2.1777)	Prec@1 41.406 (44.911)	Prec@5 75.000 (75.605)
Epoch: [45][1680/14090]	Time 0.758 (0.769)	Data 0.001 (0.004)	Loss 2.3147 (2.1775)	Prec@1 43.750 (44.926)	Prec@5 71.875 (75.607)
Epoch: [45][1690/14090]	Time 0.899 (0.769)	Data 0.001 (0.004)	Loss 1.9471 (2.1773)	Prec@1 50.781 (44.929)	Prec@5 79.688 (75.609)
Epoch: [45][1700/14090]	Time 0.724 (0.769)	Data 0.001 (0.004)	Loss 2.2830 (2.1771)	Prec@1 36.719 (44.934)	Prec@5 77.344 (75.611)
Epoch: [45][1710/14090]	Time 0.733 (0.769)	Data 0.001 (0.004)	Loss 2.2703 (2.1769)	Prec@1 44.531 (44.945)	Prec@5 76.562 (75.616)
Epoch: [45][1720/14090]	Time 0.776 (0.769)	Data 0.001 (0.004)	Loss 2.1173 (2.1768)	Prec@1 41.406 (44.942)	Prec@5 74.219 (75.618)
Epoch: [45][1730/14090]	Time 0.789 (0.769)	Data 0.001 (0.004)	Loss 2.4835 (2.1766)	Prec@1 38.281 (44.949)	Prec@5 67.969 (75.625)
Epoch: [45][1740/14090]	Time 0.734 (0.769)	Data 0.001 (0.004)	Loss 2.2148 (2.1762)	Prec@1 39.844 (44.960)	Prec@5 76.562 (75.630)
Epoch: [45][1750/14090]	Time 0.757 (0.769)	Data 0.004 (0.004)	Loss 2.1800 (2.1760)	Prec@1 44.531 (44.964)	Prec@5 71.094 (75.629)
Epoch: [45][1760/14090]	Time 0.805 (0.769)	Data 0.001 (0.004)	Loss 2.2364 (2.1762)	Prec@1 43.750 (44.962)	Prec@5 75.000 (75.621)
Epoch: [45][1770/14090]	Time 0.732 (0.769)	Data 0.001 (0.004)	Loss 2.2454 (2.1760)	Prec@1 39.844 (44.960)	Prec@5 74.219 (75.625)
Epoch: [45][1780/14090]	Time 0.746 (0.769)	Data 0.001 (0.004)	Loss 2.0922 (2.1757)	Prec@1 49.219 (44.964)	Prec@5 75.000 (75.622)
Epoch: [45][1790/14090]	Time 0.788 (0.769)	Data 0.001 (0.004)	Loss 2.3590 (2.1758)	Prec@1 41.406 (44.957)	Prec@5 71.094 (75.618)
Epoch: [45][1800/14090]	Time 0.733 (0.769)	Data 0.001 (0.004)	Loss 2.0446 (2.1756)	Prec@1 49.219 (44.959)	Prec@5 80.469 (75.634)
Epoch: [45][1810/14090]	Time 0.756 (0.769)	Data 0.001 (0.004)	Loss 2.2952 (2.1758)	Prec@1 36.719 (44.961)	Prec@5 76.562 (75.630)
Epoch: [45][1820/14090]	Time 0.746 (0.769)	Data 0.001 (0.004)	Loss 2.4277 (2.1760)	Prec@1 38.281 (44.953)	Prec@5 71.875 (75.632)
Epoch: [45][1830/14090]	Time 0.833 (0.769)	Data 0.001 (0.004)	Loss 2.1591 (2.1759)	Prec@1 47.656 (44.951)	Prec@5 74.219 (75.640)
Epoch: [45][1840/14090]	Time 0.753 (0.769)	Data 0.001 (0.004)	Loss 1.9418 (2.1755)	Prec@1 50.000 (44.956)	Prec@5 78.906 (75.650)
Epoch: [45][1850/14090]	Time 0.732 (0.769)	Data 0.001 (0.004)	Loss 2.6916 (2.1758)	Prec@1 33.594 (44.951)	Prec@5 66.406 (75.643)
Epoch: [45][1860/14090]	Time 0.744 (0.769)	Data 0.001 (0.004)	Loss 2.1940 (2.1757)	Prec@1 49.219 (44.965)	Prec@5 70.312 (75.644)
Epoch: [45][1870/14090]	Time 0.736 (0.769)	Data 0.001 (0.004)	Loss 2.0668 (2.1756)	Prec@1 46.875 (44.960)	Prec@5 80.469 (75.647)
Epoch: [45][1880/14090]	Time 0.737 (0.769)	Data 0.001 (0.004)	Loss 2.1840 (2.1758)	Prec@1 44.531 (44.958)	Prec@5 75.781 (75.642)
Epoch: [45][1890/14090]	Time 0.741 (0.769)	Data 0.001 (0.004)	Loss 2.3033 (2.1759)	Prec@1 39.062 (44.951)	Prec@5 79.688 (75.645)
Epoch: [45][1900/14090]	Time 0.880 (0.769)	Data 0.001 (0.004)	Loss 2.3500 (2.1764)	Prec@1 43.750 (44.945)	Prec@5 70.312 (75.631)
Epoch: [45][1910/14090]	Time 0.766 (0.769)	Data 0.001 (0.004)	Loss 1.9591 (2.1767)	Prec@1 50.000 (44.936)	Prec@5 80.469 (75.629)
Epoch: [45][1920/14090]	Time 0.734 (0.769)	Data 0.001 (0.004)	Loss 2.2003 (2.1765)	Prec@1 46.094 (44.937)	Prec@5 75.000 (75.638)
Epoch: [45][1930/14090]	Time 0.736 (0.769)	Data 0.001 (0.003)	Loss 2.2137 (2.1766)	Prec@1 42.969 (44.931)	Prec@5 75.781 (75.635)
Epoch: [45][1940/14090]	Time 0.758 (0.769)	Data 0.001 (0.003)	Loss 2.3722 (2.1774)	Prec@1 35.938 (44.910)	Prec@5 73.438 (75.619)
Epoch: [45][1950/14090]	Time 0.725 (0.769)	Data 0.001 (0.003)	Loss 2.0318 (2.1773)	Prec@1 50.000 (44.918)	Prec@5 78.906 (75.623)
Epoch: [45][1960/14090]	Time 0.728 (0.769)	Data 0.001 (0.003)	Loss 2.0474 (2.1774)	Prec@1 47.656 (44.922)	Prec@5 83.594 (75.621)
Epoch: [45][1970/14090]	Time 0.847 (0.769)	Data 0.001 (0.003)	Loss 2.3576 (2.1776)	Prec@1 39.062 (44.914)	Prec@5 75.000 (75.618)
Epoch: [45][1980/14090]	Time 0.779 (0.769)	Data 0.002 (0.003)	Loss 2.2168 (2.1778)	Prec@1 48.438 (44.913)	Prec@5 78.125 (75.612)
Epoch: [45][1990/14090]	Time 0.747 (0.769)	Data 0.001 (0.003)	Loss 1.9738 (2.1775)	Prec@1 53.906 (44.928)	Prec@5 79.688 (75.615)
Epoch: [45][2000/14090]	Time 0.744 (0.769)	Data 0.001 (0.003)	Loss 2.1860 (2.1780)	Prec@1 47.656 (44.923)	Prec@5 75.000 (75.600)
Epoch: [45][2010/14090]	Time 0.748 (0.769)	Data 0.001 (0.003)	Loss 2.1008 (2.1778)	Prec@1 46.094 (44.927)	Prec@5 73.438 (75.597)
Epoch: [45][2020/14090]	Time 0.739 (0.769)	Data 0.001 (0.003)	Loss 2.1026 (2.1778)	Prec@1 51.562 (44.928)	Prec@5 75.781 (75.590)
Epoch: [45][2030/14090]	Time 0.757 (0.769)	Data 0.001 (0.003)	Loss 2.3571 (2.1781)	Prec@1 40.625 (44.921)	Prec@5 66.406 (75.583)
Epoch: [45][2040/14090]	Time 0.888 (0.769)	Data 0.001 (0.003)	Loss 1.9507 (2.1778)	Prec@1 55.469 (44.924)	Prec@5 78.906 (75.589)
Epoch: [45][2050/14090]	Time 0.736 (0.769)	Data 0.001 (0.003)	Loss 2.1561 (2.1775)	Prec@1 40.625 (44.930)	Prec@5 79.688 (75.594)
Epoch: [45][2060/14090]	Time 0.739 (0.769)	Data 0.001 (0.003)	Loss 2.1330 (2.1777)	Prec@1 41.406 (44.924)	Prec@5 80.469 (75.593)
Epoch: [45][2070/14090]	Time 0.775 (0.769)	Data 0.001 (0.003)	Loss 2.2020 (2.1780)	Prec@1 43.750 (44.918)	Prec@5 75.781 (75.594)
Epoch: [45][2080/14090]	Time 0.728 (0.769)	Data 0.001 (0.003)	Loss 2.3382 (2.1784)	Prec@1 39.062 (44.906)	Prec@5 72.656 (75.585)
Epoch: [45][2090/14090]	Time 0.740 (0.769)	Data 0.001 (0.003)	Loss 2.2014 (2.1789)	Prec@1 44.531 (44.897)	Prec@5 75.000 (75.574)
Epoch: [45][2100/14090]	Time 0.745 (0.769)	Data 0.001 (0.003)	Loss 2.3024 (2.1786)	Prec@1 42.969 (44.909)	Prec@5 78.906 (75.580)
Epoch: [45][2110/14090]	Time 0.859 (0.769)	Data 0.001 (0.003)	Loss 2.3313 (2.1788)	Prec@1 44.531 (44.909)	Prec@5 75.000 (75.575)
Epoch: [45][2120/14090]	Time 0.730 (0.769)	Data 0.001 (0.003)	Loss 2.2529 (2.1786)	Prec@1 45.312 (44.924)	Prec@5 74.219 (75.580)
Epoch: [45][2130/14090]	Time 0.743 (0.769)	Data 0.001 (0.003)	Loss 2.1425 (2.1785)	Prec@1 42.188 (44.924)	Prec@5 77.344 (75.584)
Epoch: [45][2140/14090]	Time 0.752 (0.769)	Data 0.001 (0.003)	Loss 2.5354 (2.1785)	Prec@1 40.625 (44.918)	Prec@5 67.969 (75.582)
Epoch: [45][2150/14090]	Time 0.750 (0.769)	Data 0.001 (0.003)	Loss 2.2341 (2.1784)	Prec@1 41.406 (44.920)	Prec@5 74.219 (75.580)
Epoch: [45][2160/14090]	Time 0.765 (0.769)	Data 0.001 (0.003)	Loss 2.2766 (2.1788)	Prec@1 46.094 (44.912)	Prec@5 70.312 (75.568)
Epoch: [45][2170/14090]	Time 0.744 (0.769)	Data 0.001 (0.003)	Loss 2.3302 (2.1795)	Prec@1 48.438 (44.903)	Prec@5 75.781 (75.558)
Epoch: [45][2180/14090]	Time 0.874 (0.769)	Data 0.001 (0.003)	Loss 2.2787 (2.1794)	Prec@1 45.312 (44.913)	Prec@5 75.000 (75.561)
Epoch: [45][2190/14090]	Time 0.731 (0.769)	Data 0.001 (0.003)	Loss 2.4173 (2.1794)	Prec@1 43.750 (44.917)	Prec@5 75.000 (75.564)
Epoch: [45][2200/14090]	Time 0.738 (0.768)	Data 0.001 (0.003)	Loss 2.1326 (2.1792)	Prec@1 47.656 (44.925)	Prec@5 75.781 (75.563)
Epoch: [45][2210/14090]	Time 0.782 (0.768)	Data 0.001 (0.003)	Loss 2.2814 (2.1794)	Prec@1 43.750 (44.924)	Prec@5 71.875 (75.563)
Epoch: [45][2220/14090]	Time 0.732 (0.768)	Data 0.001 (0.003)	Loss 2.3041 (2.1802)	Prec@1 40.625 (44.908)	Prec@5 70.312 (75.543)
Epoch: [45][2230/14090]	Time 0.748 (0.769)	Data 0.001 (0.003)	Loss 2.1953 (2.1804)	Prec@1 43.750 (44.903)	Prec@5 77.344 (75.542)
Epoch: [45][2240/14090]	Time 0.798 (0.768)	Data 0.001 (0.003)	Loss 2.2882 (2.1806)	Prec@1 42.969 (44.899)	Prec@5 72.656 (75.533)
Epoch: [45][2250/14090]	Time 0.920 (0.769)	Data 0.001 (0.003)	Loss 2.2111 (2.1809)	Prec@1 43.750 (44.895)	Prec@5 74.219 (75.522)
Epoch: [45][2260/14090]	Time 0.761 (0.769)	Data 0.001 (0.003)	Loss 2.1269 (2.1809)	Prec@1 53.125 (44.900)	Prec@5 75.000 (75.523)
Epoch: [45][2270/14090]	Time 0.743 (0.769)	Data 0.001 (0.003)	Loss 2.3262 (2.1805)	Prec@1 41.406 (44.910)	Prec@5 73.438 (75.524)
Epoch: [45][2280/14090]	Time 0.762 (0.769)	Data 0.001 (0.003)	Loss 2.0672 (2.1807)	Prec@1 42.969 (44.908)	Prec@5 78.906 (75.521)
Epoch: [45][2290/14090]	Time 0.726 (0.768)	Data 0.001 (0.003)	Loss 2.2383 (2.1806)	Prec@1 42.969 (44.906)	Prec@5 71.875 (75.527)
Epoch: [45][2300/14090]	Time 0.755 (0.768)	Data 0.001 (0.003)	Loss 2.3474 (2.1807)	Prec@1 41.406 (44.897)	Prec@5 71.094 (75.524)
Epoch: [45][2310/14090]	Time 0.746 (0.768)	Data 0.001 (0.003)	Loss 1.9557 (2.1804)	Prec@1 54.688 (44.910)	Prec@5 79.688 (75.525)
Epoch: [45][2320/14090]	Time 0.859 (0.768)	Data 0.001 (0.003)	Loss 2.4131 (2.1806)	Prec@1 36.719 (44.905)	Prec@5 72.656 (75.520)
Epoch: [45][2330/14090]	Time 0.737 (0.768)	Data 0.001 (0.003)	Loss 2.3923 (2.1809)	Prec@1 46.094 (44.904)	Prec@5 70.312 (75.514)
Epoch: [45][2340/14090]	Time 0.744 (0.768)	Data 0.001 (0.003)	Loss 2.4129 (2.1811)	Prec@1 40.625 (44.904)	Prec@5 78.125 (75.507)
Epoch: [45][2350/14090]	Time 0.751 (0.768)	Data 0.001 (0.003)	Loss 2.4349 (2.1808)	Prec@1 36.719 (44.913)	Prec@5 70.312 (75.510)
Epoch: [45][2360/14090]	Time 0.752 (0.768)	Data 0.001 (0.003)	Loss 2.1342 (2.1809)	Prec@1 43.750 (44.910)	Prec@5 75.781 (75.513)
Epoch: [45][2370/14090]	Time 0.727 (0.768)	Data 0.001 (0.003)	Loss 2.4200 (2.1810)	Prec@1 35.938 (44.910)	Prec@5 71.875 (75.509)
Epoch: [45][2380/14090]	Time 0.723 (0.768)	Data 0.001 (0.003)	Loss 2.1110 (2.1812)	Prec@1 47.656 (44.902)	Prec@5 72.656 (75.498)
Epoch: [45][2390/14090]	Time 0.852 (0.768)	Data 0.001 (0.003)	Loss 2.1738 (2.1808)	Prec@1 39.844 (44.907)	Prec@5 75.000 (75.506)
Epoch: [45][2400/14090]	Time 0.783 (0.768)	Data 0.001 (0.003)	Loss 2.0745 (2.1807)	Prec@1 41.406 (44.913)	Prec@5 78.125 (75.507)
Epoch: [45][2410/14090]	Time 0.766 (0.768)	Data 0.001 (0.003)	Loss 2.4019 (2.1807)	Prec@1 42.188 (44.909)	Prec@5 74.219 (75.508)
Epoch: [45][2420/14090]	Time 0.745 (0.768)	Data 0.003 (0.003)	Loss 1.8873 (2.1809)	Prec@1 53.125 (44.901)	Prec@5 79.688 (75.503)
Epoch: [45][2430/14090]	Time 0.728 (0.768)	Data 0.001 (0.003)	Loss 1.8298 (2.1806)	Prec@1 55.469 (44.914)	Prec@5 82.031 (75.512)
Epoch: [45][2440/14090]	Time 0.737 (0.768)	Data 0.001 (0.003)	Loss 2.1409 (2.1805)	Prec@1 46.094 (44.912)	Prec@5 73.438 (75.513)
Epoch: [45][2450/14090]	Time 0.758 (0.768)	Data 0.001 (0.003)	Loss 2.1642 (2.1807)	Prec@1 46.875 (44.906)	Prec@5 78.906 (75.514)
Epoch: [45][2460/14090]	Time 0.842 (0.768)	Data 0.001 (0.003)	Loss 2.3999 (2.1808)	Prec@1 42.188 (44.906)	Prec@5 73.438 (75.515)
Epoch: [45][2470/14090]	Time 0.729 (0.768)	Data 0.001 (0.003)	Loss 2.4040 (2.1807)	Prec@1 42.188 (44.909)	Prec@5 71.875 (75.513)
Epoch: [45][2480/14090]	Time 0.761 (0.768)	Data 0.001 (0.003)	Loss 2.2993 (2.1812)	Prec@1 39.844 (44.896)	Prec@5 78.125 (75.512)
Epoch: [45][2490/14090]	Time 0.750 (0.768)	Data 0.001 (0.003)	Loss 2.3262 (2.1811)	Prec@1 37.500 (44.894)	Prec@5 71.094 (75.510)
Epoch: [45][2500/14090]	Time 0.765 (0.768)	Data 0.001 (0.003)	Loss 2.0917 (2.1812)	Prec@1 46.094 (44.897)	Prec@5 77.344 (75.510)
Epoch: [45][2510/14090]	Time 0.731 (0.768)	Data 0.001 (0.003)	Loss 2.3710 (2.1811)	Prec@1 39.062 (44.902)	Prec@5 71.875 (75.516)
Epoch: [45][2520/14090]	Time 0.737 (0.768)	Data 0.001 (0.003)	Loss 2.1557 (2.1812)	Prec@1 50.000 (44.903)	Prec@5 76.562 (75.515)
Epoch: [45][2530/14090]	Time 0.858 (0.768)	Data 0.001 (0.003)	Loss 2.3361 (2.1815)	Prec@1 45.312 (44.899)	Prec@5 71.875 (75.513)
Epoch: [45][2540/14090]	Time 0.737 (0.768)	Data 0.001 (0.003)	Loss 1.8841 (2.1817)	Prec@1 53.906 (44.903)	Prec@5 79.688 (75.511)
Epoch: [45][2550/14090]	Time 0.724 (0.768)	Data 0.001 (0.003)	Loss 2.1519 (2.1814)	Prec@1 46.875 (44.911)	Prec@5 78.125 (75.515)
Epoch: [45][2560/14090]	Time 0.756 (0.768)	Data 0.001 (0.003)	Loss 1.9676 (2.1812)	Prec@1 52.344 (44.918)	Prec@5 81.250 (75.518)
Epoch: [45][2570/14090]	Time 0.724 (0.768)	Data 0.001 (0.003)	Loss 2.3804 (2.1814)	Prec@1 40.625 (44.914)	Prec@5 71.094 (75.513)
Epoch: [45][2580/14090]	Time 0.757 (0.768)	Data 0.001 (0.003)	Loss 2.2412 (2.1810)	Prec@1 42.969 (44.917)	Prec@5 75.781 (75.523)
Epoch: [45][2590/14090]	Time 0.763 (0.768)	Data 0.001 (0.003)	Loss 2.1611 (2.1811)	Prec@1 47.656 (44.915)	Prec@5 78.906 (75.524)
Epoch: [45][2600/14090]	Time 0.875 (0.768)	Data 0.001 (0.003)	Loss 2.0264 (2.1810)	Prec@1 46.875 (44.914)	Prec@5 78.125 (75.521)
Epoch: [45][2610/14090]	Time 0.734 (0.768)	Data 0.001 (0.003)	Loss 2.3160 (2.1813)	Prec@1 42.969 (44.911)	Prec@5 71.094 (75.513)
Epoch: [45][2620/14090]	Time 0.742 (0.768)	Data 0.001 (0.003)	Loss 2.1484 (2.1816)	Prec@1 45.312 (44.900)	Prec@5 78.125 (75.506)
Epoch: [45][2630/14090]	Time 0.784 (0.768)	Data 0.001 (0.003)	Loss 2.0794 (2.1815)	Prec@1 44.531 (44.904)	Prec@5 78.906 (75.507)
Epoch: [45][2640/14090]	Time 0.734 (0.768)	Data 0.001 (0.003)	Loss 2.2227 (2.1817)	Prec@1 47.656 (44.903)	Prec@5 75.781 (75.505)
Epoch: [45][2650/14090]	Time 0.730 (0.768)	Data 0.001 (0.003)	Loss 2.1036 (2.1820)	Prec@1 47.656 (44.899)	Prec@5 78.125 (75.498)
Epoch: [45][2660/14090]	Time 0.729 (0.768)	Data 0.001 (0.003)	Loss 2.5432 (2.1820)	Prec@1 42.969 (44.904)	Prec@5 63.281 (75.499)
Epoch: [45][2670/14090]	Time 0.857 (0.768)	Data 0.001 (0.003)	Loss 2.1601 (2.1819)	Prec@1 46.094 (44.909)	Prec@5 78.125 (75.503)
Epoch: [45][2680/14090]	Time 0.750 (0.768)	Data 0.001 (0.003)	Loss 2.0799 (2.1817)	Prec@1 46.875 (44.907)	Prec@5 77.344 (75.504)
Epoch: [45][2690/14090]	Time 0.765 (0.768)	Data 0.001 (0.003)	Loss 2.0851 (2.1817)	Prec@1 44.531 (44.904)	Prec@5 81.250 (75.512)
Epoch: [45][2700/14090]	Time 0.745 (0.768)	Data 0.001 (0.003)	Loss 2.3145 (2.1819)	Prec@1 44.531 (44.895)	Prec@5 75.781 (75.510)
Epoch: [45][2710/14090]	Time 0.754 (0.768)	Data 0.001 (0.003)	Loss 2.0991 (2.1818)	Prec@1 47.656 (44.896)	Prec@5 75.781 (75.514)
Epoch: [45][2720/14090]	Time 0.754 (0.768)	Data 0.001 (0.003)	Loss 2.4014 (2.1820)	Prec@1 33.594 (44.890)	Prec@5 67.188 (75.509)
Epoch: [45][2730/14090]	Time 0.732 (0.768)	Data 0.001 (0.003)	Loss 1.8638 (2.1817)	Prec@1 54.688 (44.893)	Prec@5 78.906 (75.514)
Epoch: [45][2740/14090]	Time 0.878 (0.768)	Data 0.001 (0.003)	Loss 2.1294 (2.1814)	Prec@1 50.000 (44.903)	Prec@5 76.562 (75.522)
Epoch: [45][2750/14090]	Time 0.742 (0.768)	Data 0.001 (0.003)	Loss 2.0152 (2.1813)	Prec@1 49.219 (44.907)	Prec@5 75.000 (75.525)
Epoch: [45][2760/14090]	Time 0.752 (0.768)	Data 0.001 (0.003)	Loss 2.1846 (2.1814)	Prec@1 46.094 (44.910)	Prec@5 74.219 (75.523)
Epoch: [45][2770/14090]	Time 0.726 (0.768)	Data 0.001 (0.003)	Loss 2.0140 (2.1813)	Prec@1 47.656 (44.908)	Prec@5 76.562 (75.522)
Epoch: [45][2780/14090]	Time 0.738 (0.768)	Data 0.001 (0.003)	Loss 1.9364 (2.1812)	Prec@1 52.344 (44.903)	Prec@5 82.812 (75.528)
Epoch: [45][2790/14090]	Time 0.736 (0.768)	Data 0.001 (0.003)	Loss 1.7687 (2.1811)	Prec@1 51.562 (44.904)	Prec@5 84.375 (75.531)
Epoch: [45][2800/14090]	Time 0.745 (0.768)	Data 0.001 (0.003)	Loss 2.3640 (2.1814)	Prec@1 46.875 (44.898)	Prec@5 71.875 (75.526)
Epoch: [45][2810/14090]	Time 0.837 (0.768)	Data 0.001 (0.003)	Loss 1.9889 (2.1814)	Prec@1 50.781 (44.902)	Prec@5 78.125 (75.526)
Epoch: [45][2820/14090]	Time 0.735 (0.768)	Data 0.001 (0.003)	Loss 2.2041 (2.1814)	Prec@1 37.500 (44.897)	Prec@5 77.344 (75.529)
Epoch: [45][2830/14090]	Time 0.734 (0.768)	Data 0.001 (0.003)	Loss 2.2993 (2.1813)	Prec@1 36.719 (44.897)	Prec@5 74.219 (75.531)
Epoch: [45][2840/14090]	Time 0.745 (0.768)	Data 0.001 (0.003)	Loss 2.0945 (2.1814)	Prec@1 49.219 (44.899)	Prec@5 78.906 (75.524)
Epoch: [45][2850/14090]	Time 0.738 (0.768)	Data 0.001 (0.003)	Loss 1.8699 (2.1813)	Prec@1 46.094 (44.902)	Prec@5 83.594 (75.524)
Epoch: [45][2860/14090]	Time 0.761 (0.768)	Data 0.001 (0.003)	Loss 2.1803 (2.1814)	Prec@1 42.188 (44.900)	Prec@5 76.562 (75.524)
Epoch: [45][2870/14090]	Time 0.755 (0.768)	Data 0.001 (0.003)	Loss 2.2586 (2.1813)	Prec@1 42.969 (44.909)	Prec@5 71.875 (75.524)
Epoch: [45][2880/14090]	Time 0.838 (0.768)	Data 0.001 (0.003)	Loss 2.0356 (2.1811)	Prec@1 44.531 (44.914)	Prec@5 80.469 (75.532)
Epoch: [45][2890/14090]	Time 0.761 (0.768)	Data 0.001 (0.003)	Loss 2.0276 (2.1812)	Prec@1 46.875 (44.921)	Prec@5 79.688 (75.528)
Epoch: [45][2900/14090]	Time 0.745 (0.768)	Data 0.001 (0.003)	Loss 2.0650 (2.1811)	Prec@1 54.688 (44.928)	Prec@5 76.562 (75.531)
Epoch: [45][2910/14090]	Time 0.734 (0.768)	Data 0.001 (0.003)	Loss 2.0373 (2.1811)	Prec@1 52.344 (44.929)	Prec@5 81.250 (75.536)
Epoch: [45][2920/14090]	Time 0.744 (0.768)	Data 0.001 (0.003)	Loss 2.0317 (2.1811)	Prec@1 43.750 (44.925)	Prec@5 79.688 (75.532)
Epoch: [45][2930/14090]	Time 0.720 (0.768)	Data 0.001 (0.003)	Loss 2.1843 (2.1814)	Prec@1 45.312 (44.917)	Prec@5 77.344 (75.525)
Epoch: [45][2940/14090]	Time 0.740 (0.768)	Data 0.001 (0.003)	Loss 2.2263 (2.1813)	Prec@1 45.312 (44.915)	Prec@5 73.438 (75.529)
Epoch: [45][2950/14090]	Time 0.954 (0.768)	Data 0.001 (0.003)	Loss 2.1153 (2.1814)	Prec@1 46.875 (44.911)	Prec@5 75.781 (75.530)
Epoch: [45][2960/14090]	Time 0.727 (0.768)	Data 0.001 (0.003)	Loss 2.1001 (2.1818)	Prec@1 44.531 (44.906)	Prec@5 75.000 (75.522)
Epoch: [45][2970/14090]	Time 0.740 (0.768)	Data 0.001 (0.003)	Loss 2.1206 (2.1817)	Prec@1 47.656 (44.902)	Prec@5 75.000 (75.524)
Epoch: [45][2980/14090]	Time 0.778 (0.768)	Data 0.001 (0.003)	Loss 2.1827 (2.1817)	Prec@1 43.750 (44.904)	Prec@5 73.438 (75.523)
Epoch: [45][2990/14090]	Time 0.728 (0.768)	Data 0.001 (0.003)	Loss 2.2238 (2.1815)	Prec@1 45.312 (44.908)	Prec@5 71.875 (75.523)
Epoch: [45][3000/14090]	Time 0.730 (0.768)	Data 0.001 (0.003)	Loss 2.2057 (2.1814)	Prec@1 40.625 (44.908)	Prec@5 75.000 (75.522)
Epoch: [45][3010/14090]	Time 0.761 (0.768)	Data 0.001 (0.003)	Loss 2.0647 (2.1814)	Prec@1 45.312 (44.907)	Prec@5 78.125 (75.524)
Epoch: [45][3020/14090]	Time 0.854 (0.768)	Data 0.001 (0.003)	Loss 2.1117 (2.1816)	Prec@1 45.312 (44.898)	Prec@5 76.562 (75.517)
Epoch: [45][3030/14090]	Time 0.729 (0.768)	Data 0.001 (0.003)	Loss 2.1849 (2.1816)	Prec@1 51.562 (44.900)	Prec@5 73.438 (75.517)
Epoch: [45][3040/14090]	Time 0.743 (0.768)	Data 0.001 (0.003)	Loss 2.3490 (2.1815)	Prec@1 39.844 (44.902)	Prec@5 71.875 (75.519)
Epoch: [45][3050/14090]	Time 0.732 (0.768)	Data 0.001 (0.003)	Loss 2.1831 (2.1817)	Prec@1 48.438 (44.899)	Prec@5 75.000 (75.514)
Epoch: [45][3060/14090]	Time 0.757 (0.768)	Data 0.001 (0.003)	Loss 2.2816 (2.1818)	Prec@1 43.750 (44.905)	Prec@5 71.094 (75.512)
Epoch: [45][3070/14090]	Time 0.737 (0.768)	Data 0.001 (0.003)	Loss 2.0284 (2.1816)	Prec@1 52.344 (44.913)	Prec@5 79.688 (75.518)
Epoch: [45][3080/14090]	Time 0.761 (0.768)	Data 0.001 (0.003)	Loss 2.3231 (2.1816)	Prec@1 42.188 (44.912)	Prec@5 75.000 (75.519)
Epoch: [45][3090/14090]	Time 0.979 (0.768)	Data 0.001 (0.003)	Loss 1.8519 (2.1815)	Prec@1 57.031 (44.915)	Prec@5 78.906 (75.519)
Epoch: [45][3100/14090]	Time 0.743 (0.768)	Data 0.001 (0.002)	Loss 2.5609 (2.1815)	Prec@1 35.156 (44.912)	Prec@5 70.312 (75.521)
Epoch: [45][3110/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 2.3332 (2.1816)	Prec@1 45.312 (44.913)	Prec@5 71.094 (75.521)
Epoch: [45][3120/14090]	Time 0.777 (0.768)	Data 0.001 (0.002)	Loss 2.1346 (2.1816)	Prec@1 42.188 (44.911)	Prec@5 78.125 (75.522)
Epoch: [45][3130/14090]	Time 0.723 (0.768)	Data 0.001 (0.002)	Loss 2.5106 (2.1816)	Prec@1 37.500 (44.906)	Prec@5 71.875 (75.525)
Epoch: [45][3140/14090]	Time 0.730 (0.768)	Data 0.001 (0.002)	Loss 2.4416 (2.1818)	Prec@1 44.531 (44.903)	Prec@5 72.656 (75.521)
Epoch: [45][3150/14090]	Time 0.732 (0.768)	Data 0.001 (0.002)	Loss 2.0925 (2.1817)	Prec@1 42.188 (44.904)	Prec@5 78.906 (75.523)
Epoch: [45][3160/14090]	Time 0.845 (0.768)	Data 0.001 (0.002)	Loss 2.4141 (2.1821)	Prec@1 36.719 (44.892)	Prec@5 74.219 (75.517)
Epoch: [45][3170/14090]	Time 0.776 (0.768)	Data 0.001 (0.002)	Loss 2.2571 (2.1823)	Prec@1 43.750 (44.890)	Prec@5 75.000 (75.519)
Epoch: [45][3180/14090]	Time 0.731 (0.768)	Data 0.001 (0.002)	Loss 1.9646 (2.1824)	Prec@1 50.781 (44.884)	Prec@5 81.250 (75.514)
Epoch: [45][3190/14090]	Time 0.729 (0.768)	Data 0.001 (0.002)	Loss 2.1070 (2.1823)	Prec@1 50.000 (44.888)	Prec@5 72.656 (75.516)
Epoch: [45][3200/14090]	Time 0.725 (0.768)	Data 0.001 (0.002)	Loss 2.2556 (2.1824)	Prec@1 42.188 (44.885)	Prec@5 72.656 (75.514)
Epoch: [45][3210/14090]	Time 0.739 (0.768)	Data 0.001 (0.002)	Loss 2.4179 (2.1826)	Prec@1 37.500 (44.878)	Prec@5 78.906 (75.515)
Epoch: [45][3220/14090]	Time 0.745 (0.768)	Data 0.001 (0.002)	Loss 2.0879 (2.1830)	Prec@1 43.750 (44.870)	Prec@5 82.031 (75.506)
Epoch: [45][3230/14090]	Time 1.024 (0.768)	Data 0.001 (0.002)	Loss 2.4513 (2.1831)	Prec@1 39.844 (44.867)	Prec@5 68.750 (75.503)
Epoch: [45][3240/14090]	Time 0.733 (0.768)	Data 0.001 (0.002)	Loss 2.7446 (2.1837)	Prec@1 43.750 (44.862)	Prec@5 68.750 (75.493)
Epoch: [45][3250/14090]	Time 0.754 (0.768)	Data 0.001 (0.002)	Loss 2.2718 (2.1839)	Prec@1 34.375 (44.859)	Prec@5 75.781 (75.493)
Epoch: [45][3260/14090]	Time 0.758 (0.768)	Data 0.001 (0.002)	Loss 2.2575 (2.1840)	Prec@1 43.750 (44.858)	Prec@5 70.312 (75.487)
Epoch: [45][3270/14090]	Time 0.778 (0.768)	Data 0.001 (0.002)	Loss 2.2617 (2.1838)	Prec@1 38.281 (44.853)	Prec@5 74.219 (75.490)
Epoch: [45][3280/14090]	Time 0.736 (0.768)	Data 0.001 (0.002)	Loss 2.3132 (2.1836)	Prec@1 42.969 (44.862)	Prec@5 77.344 (75.491)
Epoch: [45][3290/14090]	Time 0.753 (0.768)	Data 0.001 (0.002)	Loss 2.2860 (2.1837)	Prec@1 41.406 (44.867)	Prec@5 72.656 (75.490)
Epoch: [45][3300/14090]	Time 0.850 (0.768)	Data 0.001 (0.002)	Loss 2.3536 (2.1837)	Prec@1 38.281 (44.864)	Prec@5 70.312 (75.491)
Epoch: [45][3310/14090]	Time 0.746 (0.768)	Data 0.001 (0.002)	Loss 2.3436 (2.1837)	Prec@1 41.406 (44.864)	Prec@5 71.875 (75.489)
Epoch: [45][3320/14090]	Time 0.735 (0.768)	Data 0.001 (0.002)	Loss 2.1639 (2.1840)	Prec@1 44.531 (44.859)	Prec@5 76.562 (75.482)
Epoch: [45][3330/14090]	Time 0.744 (0.768)	Data 0.001 (0.002)	Loss 2.3638 (2.1840)	Prec@1 42.969 (44.859)	Prec@5 71.875 (75.481)
Epoch: [45][3340/14090]	Time 0.761 (0.768)	Data 0.001 (0.002)	Loss 2.0286 (2.1838)	Prec@1 50.000 (44.862)	Prec@5 81.250 (75.487)
Epoch: [45][3350/14090]	Time 0.760 (0.768)	Data 0.002 (0.002)	Loss 2.0121 (2.1838)	Prec@1 46.875 (44.865)	Prec@5 79.688 (75.489)
Epoch: [45][3360/14090]	Time 0.755 (0.768)	Data 0.001 (0.002)	Loss 2.0207 (2.1837)	Prec@1 43.750 (44.868)	Prec@5 77.344 (75.489)
Epoch: [45][3370/14090]	Time 0.904 (0.768)	Data 0.001 (0.002)	Loss 2.1831 (2.1839)	Prec@1 43.750 (44.869)	Prec@5 74.219 (75.483)
Epoch: [45][3380/14090]	Time 0.736 (0.768)	Data 0.001 (0.002)	Loss 2.2187 (2.1840)	Prec@1 45.312 (44.867)	Prec@5 75.781 (75.480)
Epoch: [45][3390/14090]	Time 0.733 (0.768)	Data 0.001 (0.002)	Loss 2.1640 (2.1841)	Prec@1 45.312 (44.868)	Prec@5 75.781 (75.482)
Epoch: [45][3400/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 1.7993 (2.1839)	Prec@1 54.688 (44.871)	Prec@5 82.031 (75.481)
Epoch: [45][3410/14090]	Time 0.781 (0.768)	Data 0.001 (0.002)	Loss 2.2553 (2.1840)	Prec@1 39.844 (44.868)	Prec@5 75.000 (75.477)
Epoch: [45][3420/14090]	Time 0.752 (0.768)	Data 0.001 (0.002)	Loss 2.0214 (2.1842)	Prec@1 43.750 (44.866)	Prec@5 71.875 (75.471)
Epoch: [45][3430/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 2.1562 (2.1843)	Prec@1 46.875 (44.864)	Prec@5 75.781 (75.468)
Epoch: [45][3440/14090]	Time 0.873 (0.768)	Data 0.001 (0.002)	Loss 2.3455 (2.1845)	Prec@1 42.969 (44.860)	Prec@5 67.969 (75.465)
Epoch: [45][3450/14090]	Time 0.759 (0.768)	Data 0.001 (0.002)	Loss 2.2741 (2.1846)	Prec@1 42.188 (44.852)	Prec@5 71.094 (75.462)
Epoch: [45][3460/14090]	Time 0.781 (0.768)	Data 0.001 (0.002)	Loss 2.4734 (2.1847)	Prec@1 38.281 (44.847)	Prec@5 71.094 (75.459)
Epoch: [45][3470/14090]	Time 0.787 (0.768)	Data 0.001 (0.002)	Loss 2.0802 (2.1849)	Prec@1 47.656 (44.844)	Prec@5 75.781 (75.454)
Epoch: [45][3480/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 2.2717 (2.1850)	Prec@1 42.188 (44.840)	Prec@5 71.875 (75.454)
Epoch: [45][3490/14090]	Time 0.752 (0.768)	Data 0.001 (0.002)	Loss 2.0881 (2.1849)	Prec@1 42.969 (44.838)	Prec@5 77.344 (75.453)
Epoch: [45][3500/14090]	Time 0.749 (0.768)	Data 0.001 (0.002)	Loss 2.4513 (2.1851)	Prec@1 39.062 (44.835)	Prec@5 72.656 (75.450)
Epoch: [45][3510/14090]	Time 0.872 (0.768)	Data 0.003 (0.002)	Loss 2.1638 (2.1848)	Prec@1 42.969 (44.843)	Prec@5 72.656 (75.454)
Epoch: [45][3520/14090]	Time 0.765 (0.768)	Data 0.001 (0.002)	Loss 2.3807 (2.1849)	Prec@1 38.281 (44.841)	Prec@5 73.438 (75.448)
Epoch: [45][3530/14090]	Time 0.738 (0.768)	Data 0.001 (0.002)	Loss 2.2883 (2.1849)	Prec@1 41.406 (44.838)	Prec@5 75.781 (75.454)
Epoch: [45][3540/14090]	Time 0.728 (0.768)	Data 0.001 (0.002)	Loss 2.2624 (2.1849)	Prec@1 41.406 (44.835)	Prec@5 74.219 (75.452)
Epoch: [45][3550/14090]	Time 0.757 (0.768)	Data 0.001 (0.002)	Loss 2.1095 (2.1849)	Prec@1 46.875 (44.836)	Prec@5 78.125 (75.452)
Epoch: [45][3560/14090]	Time 0.735 (0.768)	Data 0.001 (0.002)	Loss 1.9428 (2.1849)	Prec@1 55.469 (44.833)	Prec@5 79.688 (75.452)
Epoch: [45][3570/14090]	Time 0.736 (0.768)	Data 0.001 (0.002)	Loss 2.2860 (2.1850)	Prec@1 46.094 (44.829)	Prec@5 75.781 (75.448)
Epoch: [45][3580/14090]	Time 0.877 (0.768)	Data 0.001 (0.002)	Loss 2.4312 (2.1851)	Prec@1 37.500 (44.824)	Prec@5 69.531 (75.449)
Epoch: [45][3590/14090]	Time 0.754 (0.768)	Data 0.001 (0.002)	Loss 2.2970 (2.1852)	Prec@1 45.312 (44.825)	Prec@5 74.219 (75.447)
Epoch: [45][3600/14090]	Time 0.747 (0.768)	Data 0.001 (0.002)	Loss 1.9802 (2.1850)	Prec@1 49.219 (44.830)	Prec@5 77.344 (75.447)
Epoch: [45][3610/14090]	Time 0.732 (0.768)	Data 0.001 (0.002)	Loss 2.4036 (2.1849)	Prec@1 42.188 (44.829)	Prec@5 65.625 (75.447)
Epoch: [45][3620/14090]	Time 0.736 (0.768)	Data 0.001 (0.002)	Loss 2.4132 (2.1850)	Prec@1 47.656 (44.823)	Prec@5 68.750 (75.448)
Epoch: [45][3630/14090]	Time 0.728 (0.768)	Data 0.001 (0.002)	Loss 2.0008 (2.1850)	Prec@1 47.656 (44.826)	Prec@5 83.594 (75.450)
Epoch: [45][3640/14090]	Time 0.761 (0.768)	Data 0.001 (0.002)	Loss 1.9359 (2.1848)	Prec@1 56.250 (44.827)	Prec@5 78.125 (75.450)
Epoch: [45][3650/14090]	Time 0.841 (0.768)	Data 0.001 (0.002)	Loss 2.1644 (2.1848)	Prec@1 48.438 (44.831)	Prec@5 76.562 (75.452)
Epoch: [45][3660/14090]	Time 0.723 (0.768)	Data 0.001 (0.002)	Loss 2.0930 (2.1844)	Prec@1 46.875 (44.837)	Prec@5 77.344 (75.457)
Epoch: [45][3670/14090]	Time 0.727 (0.768)	Data 0.001 (0.002)	Loss 2.3956 (2.1845)	Prec@1 35.938 (44.832)	Prec@5 75.000 (75.460)
Epoch: [45][3680/14090]	Time 0.760 (0.768)	Data 0.001 (0.002)	Loss 2.1693 (2.1846)	Prec@1 46.875 (44.832)	Prec@5 78.906 (75.461)
Epoch: [45][3690/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 2.2621 (2.1847)	Prec@1 43.750 (44.829)	Prec@5 69.531 (75.457)
Epoch: [45][3700/14090]	Time 0.735 (0.768)	Data 0.001 (0.002)	Loss 2.0481 (2.1846)	Prec@1 46.875 (44.831)	Prec@5 80.469 (75.459)
Epoch: [45][3710/14090]	Time 0.777 (0.768)	Data 0.001 (0.002)	Loss 2.2205 (2.1847)	Prec@1 42.969 (44.826)	Prec@5 74.219 (75.458)
Epoch: [45][3720/14090]	Time 0.869 (0.768)	Data 0.001 (0.002)	Loss 2.1949 (2.1847)	Prec@1 47.656 (44.827)	Prec@5 75.000 (75.458)
Epoch: [45][3730/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 2.3472 (2.1845)	Prec@1 45.312 (44.829)	Prec@5 72.656 (75.460)
Epoch: [45][3740/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 2.2032 (2.1844)	Prec@1 36.719 (44.833)	Prec@5 75.000 (75.464)
Epoch: [45][3750/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 2.3988 (2.1846)	Prec@1 42.188 (44.831)	Prec@5 67.969 (75.461)
Epoch: [45][3760/14090]	Time 0.774 (0.767)	Data 0.001 (0.002)	Loss 2.3968 (2.1850)	Prec@1 37.500 (44.823)	Prec@5 66.406 (75.450)
Epoch: [45][3770/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.0045 (2.1848)	Prec@1 40.625 (44.823)	Prec@5 81.250 (75.453)
Epoch: [45][3780/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.2102 (2.1849)	Prec@1 41.406 (44.823)	Prec@5 76.562 (75.452)
Epoch: [45][3790/14090]	Time 0.873 (0.767)	Data 0.001 (0.002)	Loss 2.1515 (2.1848)	Prec@1 47.656 (44.825)	Prec@5 78.125 (75.454)
Epoch: [45][3800/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 1.7686 (2.1847)	Prec@1 50.781 (44.830)	Prec@5 82.812 (75.456)
Epoch: [45][3810/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 2.3465 (2.1850)	Prec@1 40.625 (44.826)	Prec@5 74.219 (75.450)
Epoch: [45][3820/14090]	Time 0.725 (0.767)	Data 0.001 (0.002)	Loss 2.4757 (2.1852)	Prec@1 37.500 (44.822)	Prec@5 68.750 (75.448)
Epoch: [45][3830/14090]	Time 0.766 (0.767)	Data 0.001 (0.002)	Loss 2.2031 (2.1854)	Prec@1 46.094 (44.816)	Prec@5 75.000 (75.448)
Epoch: [45][3840/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 2.1623 (2.1855)	Prec@1 44.531 (44.811)	Prec@5 77.344 (75.445)
Epoch: [45][3850/14090]	Time 0.768 (0.767)	Data 0.001 (0.002)	Loss 1.9925 (2.1858)	Prec@1 51.562 (44.808)	Prec@5 79.688 (75.440)
Epoch: [45][3860/14090]	Time 0.902 (0.767)	Data 0.001 (0.002)	Loss 1.9955 (2.1857)	Prec@1 50.000 (44.808)	Prec@5 80.469 (75.445)
Epoch: [45][3870/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 2.4079 (2.1858)	Prec@1 47.656 (44.809)	Prec@5 69.531 (75.441)
Epoch: [45][3880/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 1.8859 (2.1860)	Prec@1 51.562 (44.803)	Prec@5 81.250 (75.440)
Epoch: [45][3890/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 2.1675 (2.1859)	Prec@1 44.531 (44.806)	Prec@5 69.531 (75.437)
Epoch: [45][3900/14090]	Time 0.761 (0.767)	Data 0.001 (0.002)	Loss 2.0636 (2.1861)	Prec@1 50.000 (44.805)	Prec@5 81.250 (75.436)
Epoch: [45][3910/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 2.1339 (2.1862)	Prec@1 45.312 (44.805)	Prec@5 74.219 (75.435)
Epoch: [45][3920/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 2.4150 (2.1864)	Prec@1 43.750 (44.802)	Prec@5 69.531 (75.431)
Epoch: [45][3930/14090]	Time 0.840 (0.767)	Data 0.001 (0.002)	Loss 2.4622 (2.1865)	Prec@1 38.281 (44.802)	Prec@5 69.531 (75.429)
Epoch: [45][3940/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 2.5333 (2.1866)	Prec@1 31.250 (44.798)	Prec@5 74.219 (75.429)
Epoch: [45][3950/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 2.0444 (2.1867)	Prec@1 49.219 (44.796)	Prec@5 77.344 (75.428)
Epoch: [45][3960/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 2.0456 (2.1865)	Prec@1 46.875 (44.798)	Prec@5 78.906 (75.429)
Epoch: [45][3970/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 1.9759 (2.1863)	Prec@1 53.125 (44.806)	Prec@5 79.688 (75.436)
Epoch: [45][3980/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.0546 (2.1864)	Prec@1 48.438 (44.802)	Prec@5 77.344 (75.434)
Epoch: [45][3990/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 2.1097 (2.1865)	Prec@1 39.844 (44.796)	Prec@5 78.906 (75.434)
Epoch: [45][4000/14090]	Time 0.887 (0.767)	Data 0.001 (0.002)	Loss 2.2442 (2.1865)	Prec@1 43.750 (44.801)	Prec@5 76.562 (75.433)
Epoch: [45][4010/14090]	Time 0.723 (0.767)	Data 0.001 (0.002)	Loss 2.0049 (2.1867)	Prec@1 43.750 (44.793)	Prec@5 80.469 (75.431)
Epoch: [45][4020/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 2.2374 (2.1868)	Prec@1 40.625 (44.794)	Prec@5 78.906 (75.433)
Epoch: [45][4030/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 2.1029 (2.1868)	Prec@1 49.219 (44.797)	Prec@5 73.438 (75.429)
Epoch: [45][4040/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 2.4965 (2.1868)	Prec@1 36.719 (44.796)	Prec@5 68.750 (75.430)
Epoch: [45][4050/14090]	Time 0.728 (0.767)	Data 0.001 (0.002)	Loss 2.3300 (2.1868)	Prec@1 36.719 (44.794)	Prec@5 72.656 (75.429)
Epoch: [45][4060/14090]	Time 0.774 (0.767)	Data 0.001 (0.002)	Loss 2.2446 (2.1869)	Prec@1 44.531 (44.793)	Prec@5 70.312 (75.430)
Epoch: [45][4070/14090]	Time 0.901 (0.767)	Data 0.001 (0.002)	Loss 2.0085 (2.1868)	Prec@1 53.125 (44.798)	Prec@5 78.906 (75.428)
Epoch: [45][4080/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 2.3521 (2.1868)	Prec@1 39.844 (44.801)	Prec@5 72.656 (75.428)
Epoch: [45][4090/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 2.2491 (2.1866)	Prec@1 37.500 (44.800)	Prec@5 73.438 (75.433)
Epoch: [45][4100/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 2.1069 (2.1866)	Prec@1 46.875 (44.799)	Prec@5 75.000 (75.433)
Epoch: [45][4110/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 2.0632 (2.1865)	Prec@1 46.094 (44.798)	Prec@5 78.125 (75.432)
Epoch: [45][4120/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 2.0731 (2.1865)	Prec@1 50.000 (44.796)	Prec@5 79.688 (75.431)
Epoch: [45][4130/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.5624 (2.1867)	Prec@1 38.281 (44.795)	Prec@5 71.094 (75.429)
Epoch: [45][4140/14090]	Time 0.856 (0.767)	Data 0.001 (0.002)	Loss 2.1223 (2.1865)	Prec@1 43.750 (44.799)	Prec@5 75.781 (75.429)
Epoch: [45][4150/14090]	Time 0.731 (0.767)	Data 0.001 (0.002)	Loss 1.9484 (2.1866)	Prec@1 53.906 (44.800)	Prec@5 76.562 (75.426)
Epoch: [45][4160/14090]	Time 0.761 (0.767)	Data 0.001 (0.002)	Loss 1.9033 (2.1865)	Prec@1 50.000 (44.802)	Prec@5 81.250 (75.429)
Epoch: [45][4170/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 2.2502 (2.1866)	Prec@1 46.875 (44.799)	Prec@5 74.219 (75.428)
Epoch: [45][4180/14090]	Time 0.723 (0.767)	Data 0.001 (0.002)	Loss 1.9683 (2.1865)	Prec@1 45.312 (44.800)	Prec@5 82.031 (75.431)
Epoch: [45][4190/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 2.2085 (2.1862)	Prec@1 39.062 (44.801)	Prec@5 75.781 (75.436)
Epoch: [45][4200/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 2.4842 (2.1862)	Prec@1 40.625 (44.806)	Prec@5 69.531 (75.436)
Epoch: [45][4210/14090]	Time 0.875 (0.767)	Data 0.001 (0.002)	Loss 2.3030 (2.1862)	Prec@1 44.531 (44.807)	Prec@5 71.875 (75.439)
Epoch: [45][4220/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 2.0611 (2.1859)	Prec@1 50.781 (44.814)	Prec@5 79.688 (75.446)
Epoch: [45][4230/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 2.1026 (2.1859)	Prec@1 49.219 (44.817)	Prec@5 78.125 (75.447)
Epoch: [45][4240/14090]	Time 0.780 (0.767)	Data 0.001 (0.002)	Loss 2.1024 (2.1860)	Prec@1 43.750 (44.812)	Prec@5 75.781 (75.447)
Epoch: [45][4250/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 2.2380 (2.1862)	Prec@1 40.625 (44.809)	Prec@5 75.781 (75.443)
Epoch: [45][4260/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 1.8266 (2.1862)	Prec@1 48.438 (44.812)	Prec@5 83.594 (75.441)
Epoch: [45][4270/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.0438 (2.1861)	Prec@1 42.188 (44.811)	Prec@5 79.688 (75.441)
Epoch: [45][4280/14090]	Time 0.875 (0.767)	Data 0.001 (0.002)	Loss 2.2116 (2.1863)	Prec@1 42.969 (44.810)	Prec@5 75.781 (75.437)
Epoch: [45][4290/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 2.4760 (2.1865)	Prec@1 38.281 (44.806)	Prec@5 71.094 (75.432)
Epoch: [45][4300/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 2.1932 (2.1865)	Prec@1 45.312 (44.808)	Prec@5 79.688 (75.433)
Epoch: [45][4310/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 2.1606 (2.1863)	Prec@1 42.969 (44.811)	Prec@5 79.688 (75.437)
Epoch: [45][4320/14090]	Time 0.760 (0.767)	Data 0.001 (0.002)	Loss 2.1116 (2.1863)	Prec@1 42.188 (44.810)	Prec@5 77.344 (75.439)
Epoch: [45][4330/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.2315 (2.1864)	Prec@1 45.312 (44.809)	Prec@5 76.562 (75.439)
Epoch: [45][4340/14090]	Time 0.775 (0.767)	Data 0.001 (0.002)	Loss 2.3741 (2.1864)	Prec@1 42.969 (44.811)	Prec@5 76.562 (75.441)
Epoch: [45][4350/14090]	Time 0.914 (0.767)	Data 0.001 (0.002)	Loss 2.3652 (2.1864)	Prec@1 46.875 (44.807)	Prec@5 74.219 (75.439)
Epoch: [45][4360/14090]	Time 0.766 (0.767)	Data 0.001 (0.002)	Loss 2.1717 (2.1866)	Prec@1 43.750 (44.805)	Prec@5 71.875 (75.435)
Epoch: [45][4370/14090]	Time 0.761 (0.767)	Data 0.001 (0.002)	Loss 2.2463 (2.1867)	Prec@1 41.406 (44.806)	Prec@5 77.344 (75.437)
Epoch: [45][4380/14090]	Time 0.773 (0.767)	Data 0.001 (0.002)	Loss 2.1977 (2.1867)	Prec@1 42.188 (44.804)	Prec@5 76.562 (75.435)
Epoch: [45][4390/14090]	Time 0.765 (0.767)	Data 0.001 (0.002)	Loss 2.1832 (2.1867)	Prec@1 49.219 (44.808)	Prec@5 75.000 (75.438)
Epoch: [45][4400/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.5693 (2.1867)	Prec@1 39.844 (44.807)	Prec@5 72.656 (75.437)
Epoch: [45][4410/14090]	Time 0.728 (0.767)	Data 0.001 (0.002)	Loss 2.0447 (2.1868)	Prec@1 47.656 (44.802)	Prec@5 80.469 (75.435)
Epoch: [45][4420/14090]	Time 0.865 (0.767)	Data 0.003 (0.002)	Loss 2.1460 (2.1868)	Prec@1 44.531 (44.804)	Prec@5 77.344 (75.437)
Epoch: [45][4430/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 2.0193 (2.1869)	Prec@1 45.312 (44.803)	Prec@5 80.469 (75.440)
Epoch: [45][4440/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 2.4008 (2.1870)	Prec@1 37.500 (44.802)	Prec@5 74.219 (75.439)
Epoch: [45][4450/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 2.4573 (2.1871)	Prec@1 39.844 (44.803)	Prec@5 71.875 (75.438)
Epoch: [45][4460/14090]	Time 0.766 (0.767)	Data 0.001 (0.002)	Loss 2.3424 (2.1871)	Prec@1 39.062 (44.803)	Prec@5 72.656 (75.438)
Epoch: [45][4470/14090]	Time 0.724 (0.767)	Data 0.001 (0.002)	Loss 2.0203 (2.1871)	Prec@1 44.531 (44.803)	Prec@5 75.781 (75.437)
Epoch: [45][4480/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 2.0336 (2.1871)	Prec@1 50.781 (44.808)	Prec@5 82.031 (75.438)
Epoch: [45][4490/14090]	Time 0.953 (0.767)	Data 0.001 (0.002)	Loss 2.3139 (2.1873)	Prec@1 42.188 (44.805)	Prec@5 74.219 (75.433)
Epoch: [45][4500/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.3418 (2.1872)	Prec@1 38.281 (44.805)	Prec@5 69.531 (75.435)
Epoch: [45][4510/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 2.1695 (2.1874)	Prec@1 42.969 (44.804)	Prec@5 74.219 (75.433)
Epoch: [45][4520/14090]	Time 0.761 (0.767)	Data 0.001 (0.002)	Loss 2.5687 (2.1874)	Prec@1 34.375 (44.803)	Prec@5 68.750 (75.431)
Epoch: [45][4530/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 2.1903 (2.1876)	Prec@1 44.531 (44.797)	Prec@5 74.219 (75.425)
Epoch: [45][4540/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 2.2066 (2.1876)	Prec@1 48.438 (44.799)	Prec@5 75.000 (75.424)
Epoch: [45][4550/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 2.3484 (2.1877)	Prec@1 42.969 (44.797)	Prec@5 75.781 (75.421)
Epoch: [45][4560/14090]	Time 0.821 (0.767)	Data 0.001 (0.002)	Loss 2.1014 (2.1877)	Prec@1 47.656 (44.801)	Prec@5 71.875 (75.418)
Epoch: [45][4570/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 2.0775 (2.1878)	Prec@1 48.438 (44.798)	Prec@5 74.219 (75.413)
Epoch: [45][4580/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.2412 (2.1879)	Prec@1 39.844 (44.795)	Prec@5 73.438 (75.411)
Epoch: [45][4590/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.2369 (2.1877)	Prec@1 44.531 (44.798)	Prec@5 74.219 (75.412)
Epoch: [45][4600/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 2.2986 (2.1879)	Prec@1 39.844 (44.792)	Prec@5 74.219 (75.410)
Epoch: [45][4610/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 2.2200 (2.1878)	Prec@1 46.875 (44.795)	Prec@5 75.781 (75.413)
Epoch: [45][4620/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.1774 (2.1877)	Prec@1 39.062 (44.794)	Prec@5 76.562 (75.415)
Epoch: [45][4630/14090]	Time 0.858 (0.767)	Data 0.001 (0.002)	Loss 2.2769 (2.1879)	Prec@1 46.094 (44.792)	Prec@5 75.781 (75.415)
Epoch: [45][4640/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 2.0238 (2.1879)	Prec@1 41.406 (44.790)	Prec@5 79.688 (75.415)
Epoch: [45][4650/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.0978 (2.1880)	Prec@1 48.438 (44.791)	Prec@5 78.906 (75.414)
Epoch: [45][4660/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 1.9893 (2.1882)	Prec@1 50.781 (44.790)	Prec@5 82.812 (75.411)
Epoch: [45][4670/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 1.9647 (2.1881)	Prec@1 47.656 (44.790)	Prec@5 82.031 (75.412)
Epoch: [45][4680/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 2.1634 (2.1882)	Prec@1 46.875 (44.790)	Prec@5 77.344 (75.409)
Epoch: [45][4690/14090]	Time 0.764 (0.767)	Data 0.001 (0.002)	Loss 2.1946 (2.1882)	Prec@1 45.312 (44.790)	Prec@5 75.000 (75.410)
Epoch: [45][4700/14090]	Time 0.859 (0.767)	Data 0.001 (0.002)	Loss 2.4035 (2.1883)	Prec@1 39.844 (44.789)	Prec@5 71.094 (75.411)
Epoch: [45][4710/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 2.0098 (2.1882)	Prec@1 40.625 (44.788)	Prec@5 77.344 (75.413)
Epoch: [45][4720/14090]	Time 0.768 (0.767)	Data 0.001 (0.002)	Loss 2.2792 (2.1883)	Prec@1 38.281 (44.780)	Prec@5 78.906 (75.413)
Epoch: [45][4730/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 2.0591 (2.1884)	Prec@1 47.656 (44.775)	Prec@5 78.906 (75.411)
Epoch: [45][4740/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 2.3253 (2.1884)	Prec@1 35.156 (44.771)	Prec@5 75.781 (75.408)
Epoch: [45][4750/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.3121 (2.1884)	Prec@1 44.531 (44.775)	Prec@5 71.875 (75.412)
Epoch: [45][4760/14090]	Time 0.761 (0.767)	Data 0.001 (0.002)	Loss 2.2461 (2.1883)	Prec@1 44.531 (44.780)	Prec@5 74.219 (75.414)
Epoch: [45][4770/14090]	Time 0.841 (0.767)	Data 0.001 (0.002)	Loss 2.3022 (2.1884)	Prec@1 38.281 (44.779)	Prec@5 75.000 (75.412)
Epoch: [45][4780/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.3388 (2.1886)	Prec@1 38.281 (44.776)	Prec@5 68.750 (75.409)
Epoch: [45][4790/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 2.2301 (2.1883)	Prec@1 40.625 (44.780)	Prec@5 78.125 (75.412)
Epoch: [45][4800/14090]	Time 0.765 (0.767)	Data 0.001 (0.002)	Loss 1.9655 (2.1884)	Prec@1 48.438 (44.778)	Prec@5 78.125 (75.408)
Epoch: [45][4810/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 2.2540 (2.1883)	Prec@1 45.312 (44.782)	Prec@5 76.562 (75.411)
Epoch: [45][4820/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 2.2869 (2.1883)	Prec@1 44.531 (44.781)	Prec@5 75.000 (75.412)
Epoch: [45][4830/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 2.2446 (2.1882)	Prec@1 41.406 (44.784)	Prec@5 75.781 (75.412)
Epoch: [45][4840/14090]	Time 0.849 (0.767)	Data 0.001 (0.002)	Loss 2.2041 (2.1882)	Prec@1 43.750 (44.785)	Prec@5 75.000 (75.413)
Epoch: [45][4850/14090]	Time 0.724 (0.767)	Data 0.001 (0.002)	Loss 1.9093 (2.1881)	Prec@1 52.344 (44.787)	Prec@5 77.344 (75.412)
Epoch: [45][4860/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 2.3001 (2.1881)	Prec@1 42.969 (44.789)	Prec@5 75.000 (75.409)
Epoch: [45][4870/14090]	Time 0.794 (0.767)	Data 0.001 (0.002)	Loss 2.3128 (2.1879)	Prec@1 48.438 (44.793)	Prec@5 67.969 (75.411)
Epoch: [45][4880/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 2.1594 (2.1879)	Prec@1 39.844 (44.793)	Prec@5 79.688 (75.412)
Epoch: [45][4890/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 2.1783 (2.1879)	Prec@1 39.844 (44.793)	Prec@5 79.688 (75.413)
Epoch: [45][4900/14090]	Time 0.769 (0.767)	Data 0.001 (0.002)	Loss 2.3512 (2.1878)	Prec@1 39.844 (44.792)	Prec@5 75.000 (75.418)
Epoch: [45][4910/14090]	Time 0.873 (0.767)	Data 0.001 (0.002)	Loss 2.0361 (2.1881)	Prec@1 47.656 (44.786)	Prec@5 81.250 (75.417)
Epoch: [45][4920/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 2.1863 (2.1881)	Prec@1 39.844 (44.785)	Prec@5 72.656 (75.417)
Epoch: [45][4930/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 2.2828 (2.1882)	Prec@1 42.188 (44.781)	Prec@5 73.438 (75.416)
Epoch: [45][4940/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.1908 (2.1882)	Prec@1 43.750 (44.785)	Prec@5 75.781 (75.416)
Epoch: [45][4950/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 2.4049 (2.1883)	Prec@1 43.750 (44.784)	Prec@5 72.656 (75.414)
Epoch: [45][4960/14090]	Time 0.760 (0.767)	Data 0.001 (0.002)	Loss 2.5145 (2.1884)	Prec@1 40.625 (44.777)	Prec@5 69.531 (75.414)
Epoch: [45][4970/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.1133 (2.1883)	Prec@1 45.312 (44.777)	Prec@5 79.688 (75.415)
Epoch: [45][4980/14090]	Time 0.857 (0.767)	Data 0.001 (0.002)	Loss 2.4759 (2.1884)	Prec@1 39.062 (44.776)	Prec@5 71.875 (75.414)
Epoch: [45][4990/14090]	Time 0.765 (0.767)	Data 0.001 (0.002)	Loss 2.1440 (2.1884)	Prec@1 42.969 (44.773)	Prec@5 71.094 (75.415)
Epoch: [45][5000/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 2.0824 (2.1885)	Prec@1 45.312 (44.771)	Prec@5 75.000 (75.410)
Epoch: [45][5010/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 2.2787 (2.1886)	Prec@1 39.844 (44.767)	Prec@5 70.312 (75.405)
Epoch: [45][5020/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 2.3535 (2.1886)	Prec@1 44.531 (44.764)	Prec@5 73.438 (75.404)
Epoch: [45][5030/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 2.3679 (2.1885)	Prec@1 39.062 (44.764)	Prec@5 72.656 (75.405)
Epoch: [45][5040/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 2.0553 (2.1885)	Prec@1 50.000 (44.763)	Prec@5 78.906 (75.407)
Epoch: [45][5050/14090]	Time 0.848 (0.767)	Data 0.001 (0.002)	Loss 2.3264 (2.1887)	Prec@1 42.969 (44.759)	Prec@5 77.344 (75.406)
Epoch: [45][5060/14090]	Time 0.723 (0.767)	Data 0.001 (0.002)	Loss 2.2572 (2.1886)	Prec@1 48.438 (44.767)	Prec@5 74.219 (75.405)
Epoch: [45][5070/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 2.3293 (2.1886)	Prec@1 33.594 (44.765)	Prec@5 75.781 (75.406)
Epoch: [45][5080/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 2.0498 (2.1883)	Prec@1 47.656 (44.772)	Prec@5 78.125 (75.410)
Epoch: [45][5090/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 1.9388 (2.1882)	Prec@1 51.562 (44.776)	Prec@5 80.469 (75.412)
Epoch: [45][5100/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 2.2020 (2.1884)	Prec@1 43.750 (44.770)	Prec@5 75.000 (75.411)
Epoch: [45][5110/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 2.3387 (2.1883)	Prec@1 39.844 (44.770)	Prec@5 70.312 (75.412)
Epoch: [45][5120/14090]	Time 0.868 (0.767)	Data 0.001 (0.002)	Loss 2.1861 (2.1883)	Prec@1 42.188 (44.770)	Prec@5 77.344 (75.411)
Epoch: [45][5130/14090]	Time 0.723 (0.767)	Data 0.001 (0.002)	Loss 1.7984 (2.1884)	Prec@1 53.906 (44.771)	Prec@5 78.906 (75.410)
Epoch: [45][5140/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 1.8859 (2.1885)	Prec@1 57.812 (44.771)	Prec@5 78.906 (75.411)
Epoch: [45][5150/14090]	Time 0.777 (0.767)	Data 0.001 (0.002)	Loss 2.4259 (2.1885)	Prec@1 40.625 (44.770)	Prec@5 78.125 (75.412)
Epoch: [45][5160/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 2.2352 (2.1886)	Prec@1 47.656 (44.770)	Prec@5 67.969 (75.407)
Epoch: [45][5170/14090]	Time 0.765 (0.767)	Data 0.001 (0.002)	Loss 2.1379 (2.1886)	Prec@1 39.844 (44.771)	Prec@5 79.688 (75.408)
Epoch: [45][5180/14090]	Time 0.725 (0.767)	Data 0.001 (0.002)	Loss 2.3730 (2.1886)	Prec@1 40.625 (44.770)	Prec@5 75.781 (75.410)
Epoch: [45][5190/14090]	Time 0.845 (0.767)	Data 0.001 (0.002)	Loss 2.0346 (2.1886)	Prec@1 49.219 (44.769)	Prec@5 79.688 (75.409)
Epoch: [45][5200/14090]	Time 0.771 (0.767)	Data 0.001 (0.002)	Loss 2.1588 (2.1885)	Prec@1 44.531 (44.772)	Prec@5 73.438 (75.408)
Epoch: [45][5210/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.0898 (2.1886)	Prec@1 50.781 (44.772)	Prec@5 77.344 (75.405)
Epoch: [45][5220/14090]	Time 0.769 (0.767)	Data 0.001 (0.002)	Loss 2.0180 (2.1886)	Prec@1 40.625 (44.769)	Prec@5 81.250 (75.407)
Epoch: [45][5230/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 1.9898 (2.1886)	Prec@1 45.312 (44.766)	Prec@5 80.469 (75.407)
Epoch: [45][5240/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 2.3163 (2.1886)	Prec@1 45.312 (44.766)	Prec@5 71.094 (75.407)
Epoch: [45][5250/14090]	Time 0.760 (0.767)	Data 0.001 (0.002)	Loss 2.4161 (2.1887)	Prec@1 39.062 (44.762)	Prec@5 71.094 (75.406)
Epoch: [45][5260/14090]	Time 0.827 (0.767)	Data 0.001 (0.002)	Loss 2.1789 (2.1886)	Prec@1 41.406 (44.765)	Prec@5 71.875 (75.410)
Epoch: [45][5270/14090]	Time 0.725 (0.767)	Data 0.001 (0.002)	Loss 2.1699 (2.1886)	Prec@1 43.750 (44.768)	Prec@5 77.344 (75.407)
Epoch: [45][5280/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 2.1647 (2.1885)	Prec@1 52.344 (44.772)	Prec@5 76.562 (75.409)
Epoch: [45][5290/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.2713 (2.1885)	Prec@1 43.750 (44.775)	Prec@5 72.656 (75.407)
Epoch: [45][5300/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 2.3523 (2.1886)	Prec@1 44.531 (44.775)	Prec@5 70.312 (75.403)
Epoch: [45][5310/14090]	Time 0.771 (0.767)	Data 0.001 (0.002)	Loss 1.9337 (2.1887)	Prec@1 53.906 (44.772)	Prec@5 80.469 (75.399)
Epoch: [45][5320/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 2.0470 (2.1889)	Prec@1 45.312 (44.770)	Prec@5 80.469 (75.396)
Epoch: [45][5330/14090]	Time 0.898 (0.767)	Data 0.001 (0.002)	Loss 2.5130 (2.1891)	Prec@1 44.531 (44.766)	Prec@5 64.844 (75.390)
Epoch: [45][5340/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 2.0969 (2.1891)	Prec@1 47.656 (44.764)	Prec@5 71.875 (75.389)
Epoch: [45][5350/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 1.8802 (2.1889)	Prec@1 52.344 (44.766)	Prec@5 80.469 (75.393)
Epoch: [45][5360/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 2.1198 (2.1889)	Prec@1 47.656 (44.768)	Prec@5 78.906 (75.393)
Epoch: [45][5370/14090]	Time 0.741 (0.767)	Data 0.002 (0.002)	Loss 2.4965 (2.1889)	Prec@1 42.188 (44.771)	Prec@5 67.188 (75.392)
Epoch: [45][5380/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.0607 (2.1889)	Prec@1 46.875 (44.771)	Prec@5 75.781 (75.391)
Epoch: [45][5390/14090]	Time 0.759 (0.767)	Data 0.002 (0.002)	Loss 2.2808 (2.1889)	Prec@1 42.188 (44.772)	Prec@5 74.219 (75.389)
Epoch: [45][5400/14090]	Time 0.821 (0.767)	Data 0.001 (0.002)	Loss 2.1025 (2.1891)	Prec@1 43.750 (44.767)	Prec@5 78.125 (75.387)
Epoch: [45][5410/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 2.5036 (2.1892)	Prec@1 35.156 (44.768)	Prec@5 68.750 (75.386)
Epoch: [45][5420/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 2.2417 (2.1894)	Prec@1 43.750 (44.767)	Prec@5 75.000 (75.385)
Epoch: [45][5430/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.3783 (2.1894)	Prec@1 42.188 (44.763)	Prec@5 75.000 (75.386)
Epoch: [45][5440/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 2.3683 (2.1895)	Prec@1 40.625 (44.764)	Prec@5 76.562 (75.385)
Epoch: [45][5450/14090]	Time 0.760 (0.767)	Data 0.001 (0.002)	Loss 2.0670 (2.1894)	Prec@1 46.875 (44.762)	Prec@5 75.781 (75.383)
Epoch: [45][5460/14090]	Time 0.773 (0.767)	Data 0.001 (0.002)	Loss 2.2631 (2.1895)	Prec@1 42.969 (44.760)	Prec@5 76.562 (75.383)
Epoch: [45][5470/14090]	Time 0.852 (0.767)	Data 0.001 (0.002)	Loss 2.2966 (2.1895)	Prec@1 42.188 (44.760)	Prec@5 72.656 (75.381)
Epoch: [45][5480/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 2.1864 (2.1896)	Prec@1 43.750 (44.756)	Prec@5 72.656 (75.377)
Epoch: [45][5490/14090]	Time 0.774 (0.767)	Data 0.001 (0.002)	Loss 2.3686 (2.1896)	Prec@1 39.062 (44.756)	Prec@5 70.312 (75.378)
Epoch: [45][5500/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 2.1542 (2.1895)	Prec@1 48.438 (44.756)	Prec@5 78.125 (75.380)
Epoch: [45][5510/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 2.2422 (2.1894)	Prec@1 42.969 (44.758)	Prec@5 75.781 (75.381)
Epoch: [45][5520/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.2194 (2.1895)	Prec@1 47.656 (44.754)	Prec@5 77.344 (75.382)
Epoch: [45][5530/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.0055 (2.1896)	Prec@1 48.438 (44.752)	Prec@5 77.344 (75.383)
Epoch: [45][5540/14090]	Time 0.874 (0.767)	Data 0.001 (0.002)	Loss 2.3518 (2.1899)	Prec@1 43.750 (44.748)	Prec@5 75.000 (75.377)
Epoch: [45][5550/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.1397 (2.1900)	Prec@1 46.875 (44.743)	Prec@5 75.781 (75.375)
Epoch: [45][5560/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.2295 (2.1901)	Prec@1 47.656 (44.744)	Prec@5 80.469 (75.373)
Epoch: [45][5570/14090]	Time 0.721 (0.767)	Data 0.001 (0.002)	Loss 1.9392 (2.1898)	Prec@1 50.781 (44.749)	Prec@5 79.688 (75.379)
Epoch: [45][5580/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 1.9858 (2.1897)	Prec@1 48.438 (44.750)	Prec@5 78.906 (75.378)
Epoch: [45][5590/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 2.4570 (2.1898)	Prec@1 40.625 (44.750)	Prec@5 71.094 (75.376)
Epoch: [45][5600/14090]	Time 0.727 (0.767)	Data 0.001 (0.002)	Loss 2.2988 (2.1899)	Prec@1 45.312 (44.752)	Prec@5 75.000 (75.374)
Epoch: [45][5610/14090]	Time 0.869 (0.767)	Data 0.001 (0.002)	Loss 2.3512 (2.1900)	Prec@1 41.406 (44.750)	Prec@5 71.875 (75.371)
Epoch: [45][5620/14090]	Time 0.782 (0.767)	Data 0.001 (0.002)	Loss 2.1729 (2.1899)	Prec@1 42.969 (44.751)	Prec@5 75.000 (75.374)
Epoch: [45][5630/14090]	Time 0.731 (0.767)	Data 0.001 (0.002)	Loss 2.1168 (2.1900)	Prec@1 46.094 (44.751)	Prec@5 77.344 (75.373)
Epoch: [45][5640/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.0220 (2.1900)	Prec@1 50.781 (44.754)	Prec@5 80.469 (75.373)
Epoch: [45][5650/14090]	Time 0.718 (0.767)	Data 0.001 (0.002)	Loss 2.3733 (2.1900)	Prec@1 35.938 (44.752)	Prec@5 70.312 (75.371)
Epoch: [45][5660/14090]	Time 0.757 (0.767)	Data 0.001 (0.002)	Loss 2.2220 (2.1901)	Prec@1 46.875 (44.751)	Prec@5 73.438 (75.368)
Epoch: [45][5670/14090]	Time 0.773 (0.767)	Data 0.001 (0.002)	Loss 2.1074 (2.1901)	Prec@1 40.625 (44.749)	Prec@5 75.781 (75.371)
Epoch: [45][5680/14090]	Time 0.843 (0.767)	Data 0.001 (0.002)	Loss 2.2606 (2.1900)	Prec@1 41.406 (44.750)	Prec@5 73.438 (75.371)
Epoch: [45][5690/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 2.1207 (2.1898)	Prec@1 46.875 (44.754)	Prec@5 79.688 (75.376)
Epoch: [45][5700/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 2.3788 (2.1899)	Prec@1 40.625 (44.750)	Prec@5 73.438 (75.375)
Epoch: [45][5710/14090]	Time 0.757 (0.767)	Data 0.001 (0.002)	Loss 2.1434 (2.1899)	Prec@1 46.094 (44.751)	Prec@5 75.781 (75.374)
Epoch: [45][5720/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 2.2543 (2.1898)	Prec@1 39.844 (44.750)	Prec@5 72.656 (75.376)
Epoch: [45][5730/14090]	Time 0.768 (0.767)	Data 0.001 (0.002)	Loss 2.2015 (2.1899)	Prec@1 43.750 (44.751)	Prec@5 75.000 (75.374)
Epoch: [45][5740/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 2.2529 (2.1899)	Prec@1 43.750 (44.751)	Prec@5 74.219 (75.376)
Epoch: [45][5750/14090]	Time 0.856 (0.767)	Data 0.001 (0.002)	Loss 2.2455 (2.1898)	Prec@1 42.969 (44.752)	Prec@5 74.219 (75.378)
Epoch: [45][5760/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 2.2657 (2.1897)	Prec@1 39.844 (44.751)	Prec@5 75.000 (75.381)
Epoch: [45][5770/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 2.2459 (2.1898)	Prec@1 48.438 (44.750)	Prec@5 77.344 (75.380)
Epoch: [45][5780/14090]	Time 0.761 (0.767)	Data 0.002 (0.002)	Loss 2.4186 (2.1898)	Prec@1 40.625 (44.747)	Prec@5 72.656 (75.380)
Epoch: [45][5790/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.1988 (2.1898)	Prec@1 46.875 (44.747)	Prec@5 78.906 (75.380)
Epoch: [45][5800/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 1.8923 (2.1897)	Prec@1 57.812 (44.751)	Prec@5 79.688 (75.381)
Epoch: [45][5810/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 2.2147 (2.1897)	Prec@1 42.188 (44.753)	Prec@5 75.781 (75.382)
Epoch: [45][5820/14090]	Time 0.875 (0.767)	Data 0.001 (0.002)	Loss 1.6950 (2.1896)	Prec@1 57.812 (44.753)	Prec@5 83.594 (75.383)
Epoch: [45][5830/14090]	Time 0.760 (0.767)	Data 0.001 (0.002)	Loss 2.3452 (2.1896)	Prec@1 42.188 (44.752)	Prec@5 75.000 (75.384)
Epoch: [45][5840/14090]	Time 0.727 (0.767)	Data 0.001 (0.002)	Loss 2.4829 (2.1895)	Prec@1 40.625 (44.753)	Prec@5 67.188 (75.384)
Epoch: [45][5850/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.2543 (2.1895)	Prec@1 39.844 (44.753)	Prec@5 75.000 (75.384)
Epoch: [45][5860/14090]	Time 0.725 (0.767)	Data 0.001 (0.002)	Loss 2.4737 (2.1896)	Prec@1 37.500 (44.750)	Prec@5 69.531 (75.382)
Epoch: [45][5870/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 2.1989 (2.1896)	Prec@1 46.094 (44.753)	Prec@5 76.562 (75.384)
Epoch: [45][5880/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 2.2531 (2.1896)	Prec@1 43.750 (44.752)	Prec@5 75.000 (75.381)
Epoch: [45][5890/14090]	Time 0.874 (0.767)	Data 0.001 (0.002)	Loss 1.8952 (2.1895)	Prec@1 46.875 (44.755)	Prec@5 81.250 (75.382)
Epoch: [45][5900/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 1.9451 (2.1895)	Prec@1 42.969 (44.756)	Prec@5 78.906 (75.381)
Epoch: [45][5910/14090]	Time 0.772 (0.767)	Data 0.001 (0.002)	Loss 2.2174 (2.1895)	Prec@1 40.625 (44.755)	Prec@5 73.438 (75.383)
Epoch: [45][5920/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 2.0570 (2.1896)	Prec@1 48.438 (44.755)	Prec@5 78.906 (75.382)
Epoch: [45][5930/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 2.1416 (2.1897)	Prec@1 48.438 (44.756)	Prec@5 78.906 (75.383)
Epoch: [45][5940/14090]	Time 0.731 (0.767)	Data 0.001 (0.002)	Loss 2.0723 (2.1897)	Prec@1 46.094 (44.757)	Prec@5 78.125 (75.383)
Epoch: [45][5950/14090]	Time 0.763 (0.767)	Data 0.001 (0.002)	Loss 2.0585 (2.1896)	Prec@1 42.969 (44.758)	Prec@5 78.906 (75.386)
Epoch: [45][5960/14090]	Time 0.842 (0.767)	Data 0.001 (0.002)	Loss 2.1257 (2.1897)	Prec@1 47.656 (44.758)	Prec@5 78.125 (75.385)
Epoch: [45][5970/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 2.5322 (2.1898)	Prec@1 38.281 (44.758)	Prec@5 68.750 (75.385)
Epoch: [45][5980/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 1.8119 (2.1900)	Prec@1 57.031 (44.757)	Prec@5 82.031 (75.379)
Epoch: [45][5990/14090]	Time 0.765 (0.767)	Data 0.002 (0.002)	Loss 2.3580 (2.1900)	Prec@1 41.406 (44.755)	Prec@5 72.656 (75.379)
Epoch: [45][6000/14090]	Time 0.727 (0.767)	Data 0.001 (0.002)	Loss 2.1024 (2.1900)	Prec@1 46.094 (44.757)	Prec@5 79.688 (75.380)
Epoch: [45][6010/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 2.1901 (2.1900)	Prec@1 48.438 (44.758)	Prec@5 76.562 (75.380)
Epoch: [45][6020/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 1.9598 (2.1901)	Prec@1 50.000 (44.757)	Prec@5 80.469 (75.381)
Epoch: [45][6030/14090]	Time 0.992 (0.767)	Data 0.001 (0.002)	Loss 2.1014 (2.1900)	Prec@1 52.344 (44.760)	Prec@5 77.344 (75.382)
Epoch: [45][6040/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 2.2115 (2.1900)	Prec@1 42.188 (44.759)	Prec@5 80.469 (75.385)
Epoch: [45][6050/14090]	Time 0.757 (0.767)	Data 0.001 (0.002)	Loss 2.3770 (2.1898)	Prec@1 42.188 (44.760)	Prec@5 76.562 (75.388)
Epoch: [45][6060/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 2.4974 (2.1900)	Prec@1 39.062 (44.759)	Prec@5 72.656 (75.385)
Epoch: [45][6070/14090]	Time 0.780 (0.767)	Data 0.001 (0.002)	Loss 2.2765 (2.1900)	Prec@1 34.375 (44.757)	Prec@5 75.781 (75.386)
Epoch: [45][6080/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 2.1340 (2.1902)	Prec@1 43.750 (44.754)	Prec@5 76.562 (75.384)
Epoch: [45][6090/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 2.1605 (2.1903)	Prec@1 45.312 (44.755)	Prec@5 78.125 (75.384)
Epoch: [45][6100/14090]	Time 0.871 (0.767)	Data 0.001 (0.002)	Loss 2.4590 (2.1905)	Prec@1 39.844 (44.750)	Prec@5 70.312 (75.377)
Epoch: [45][6110/14090]	Time 0.724 (0.767)	Data 0.001 (0.002)	Loss 1.9365 (2.1904)	Prec@1 49.219 (44.754)	Prec@5 78.906 (75.379)
Epoch: [45][6120/14090]	Time 0.757 (0.767)	Data 0.001 (0.002)	Loss 2.2588 (2.1903)	Prec@1 41.406 (44.753)	Prec@5 75.781 (75.381)
Epoch: [45][6130/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 2.1867 (2.1903)	Prec@1 42.969 (44.754)	Prec@5 71.875 (75.380)
Epoch: [45][6140/14090]	Time 0.725 (0.767)	Data 0.001 (0.002)	Loss 2.3364 (2.1903)	Prec@1 41.406 (44.754)	Prec@5 73.438 (75.378)
Epoch: [45][6150/14090]	Time 0.757 (0.767)	Data 0.001 (0.002)	Loss 2.0036 (2.1903)	Prec@1 44.531 (44.757)	Prec@5 78.125 (75.381)
Epoch: [45][6160/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 1.9005 (2.1901)	Prec@1 55.469 (44.761)	Prec@5 81.250 (75.385)
Epoch: [45][6170/14090]	Time 0.861 (0.767)	Data 0.001 (0.002)	Loss 2.2866 (2.1900)	Prec@1 39.844 (44.762)	Prec@5 75.781 (75.387)
Epoch: [45][6180/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 2.3152 (2.1901)	Prec@1 46.094 (44.760)	Prec@5 74.219 (75.387)
Epoch: [45][6190/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 2.5141 (2.1903)	Prec@1 39.844 (44.757)	Prec@5 67.969 (75.382)
Epoch: [45][6200/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 2.2568 (2.1903)	Prec@1 46.875 (44.754)	Prec@5 70.312 (75.379)
Epoch: [45][6210/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 1.7570 (2.1902)	Prec@1 47.656 (44.754)	Prec@5 85.938 (75.381)
Epoch: [45][6220/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 2.3023 (2.1902)	Prec@1 39.844 (44.754)	Prec@5 75.000 (75.381)
Epoch: [45][6230/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 2.2199 (2.1903)	Prec@1 40.625 (44.750)	Prec@5 74.219 (75.378)
Epoch: [45][6240/14090]	Time 0.826 (0.767)	Data 0.001 (0.002)	Loss 1.9305 (2.1901)	Prec@1 47.656 (44.753)	Prec@5 81.250 (75.380)
Epoch: [45][6250/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 2.1805 (2.1902)	Prec@1 43.750 (44.749)	Prec@5 78.125 (75.381)
Epoch: [45][6260/14090]	Time 0.769 (0.767)	Data 0.001 (0.002)	Loss 1.9145 (2.1901)	Prec@1 51.562 (44.754)	Prec@5 78.125 (75.383)
Epoch: [45][6270/14090]	Time 0.725 (0.767)	Data 0.001 (0.002)	Loss 2.0978 (2.1900)	Prec@1 46.875 (44.753)	Prec@5 80.469 (75.385)
Epoch: [45][6280/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 2.2299 (2.1901)	Prec@1 48.438 (44.749)	Prec@5 74.219 (75.383)
Epoch: [45][6290/14090]	Time 0.731 (0.767)	Data 0.001 (0.002)	Loss 1.9788 (2.1901)	Prec@1 42.188 (44.745)	Prec@5 80.469 (75.385)
Epoch: [45][6300/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 2.0609 (2.1902)	Prec@1 45.312 (44.742)	Prec@5 74.219 (75.382)
Epoch: [45][6310/14090]	Time 0.866 (0.767)	Data 0.001 (0.002)	Loss 2.2598 (2.1902)	Prec@1 44.531 (44.743)	Prec@5 71.875 (75.382)
Epoch: [45][6320/14090]	Time 0.724 (0.767)	Data 0.001 (0.002)	Loss 1.9370 (2.1902)	Prec@1 48.438 (44.743)	Prec@5 77.344 (75.380)
Epoch: [45][6330/14090]	Time 0.723 (0.766)	Data 0.001 (0.002)	Loss 2.3722 (2.1904)	Prec@1 41.406 (44.740)	Prec@5 69.531 (75.376)
Epoch: [45][6340/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 2.3057 (2.1904)	Prec@1 39.062 (44.740)	Prec@5 73.438 (75.378)
Epoch: [45][6350/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 2.3334 (2.1903)	Prec@1 41.406 (44.739)	Prec@5 72.656 (75.378)
Epoch: [45][6360/14090]	Time 0.771 (0.766)	Data 0.001 (0.002)	Loss 2.1597 (2.1904)	Prec@1 50.000 (44.739)	Prec@5 75.000 (75.377)
Epoch: [45][6370/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.1140 (2.1903)	Prec@1 43.750 (44.739)	Prec@5 73.438 (75.379)
Epoch: [45][6380/14090]	Time 0.857 (0.767)	Data 0.001 (0.002)	Loss 2.2902 (2.1903)	Prec@1 47.656 (44.740)	Prec@5 71.094 (75.379)
Epoch: [45][6390/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 2.0155 (2.1903)	Prec@1 46.094 (44.741)	Prec@5 77.344 (75.379)
Epoch: [45][6400/14090]	Time 0.764 (0.766)	Data 0.001 (0.002)	Loss 2.0705 (2.1904)	Prec@1 47.656 (44.738)	Prec@5 77.344 (75.379)
Epoch: [45][6410/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.3701 (2.1904)	Prec@1 32.812 (44.737)	Prec@5 73.438 (75.380)
Epoch: [45][6420/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 2.0609 (2.1903)	Prec@1 46.094 (44.741)	Prec@5 76.562 (75.383)
Epoch: [45][6430/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 2.0139 (2.1902)	Prec@1 48.438 (44.743)	Prec@5 82.812 (75.387)
Epoch: [45][6440/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.2497 (2.1902)	Prec@1 44.531 (44.745)	Prec@5 71.094 (75.386)
Epoch: [45][6450/14090]	Time 0.935 (0.766)	Data 0.001 (0.002)	Loss 2.3368 (2.1903)	Prec@1 45.312 (44.744)	Prec@5 70.312 (75.383)
Epoch: [45][6460/14090]	Time 0.761 (0.766)	Data 0.001 (0.002)	Loss 1.9717 (2.1902)	Prec@1 53.906 (44.747)	Prec@5 81.250 (75.385)
Epoch: [45][6470/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 1.8634 (2.1901)	Prec@1 52.344 (44.750)	Prec@5 82.812 (75.386)
Epoch: [45][6480/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 2.6282 (2.1903)	Prec@1 33.594 (44.746)	Prec@5 70.312 (75.383)
Epoch: [45][6490/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.0725 (2.1903)	Prec@1 48.438 (44.745)	Prec@5 78.906 (75.380)
Epoch: [45][6500/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 1.9382 (2.1903)	Prec@1 53.125 (44.746)	Prec@5 80.469 (75.381)
Epoch: [45][6510/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.3406 (2.1903)	Prec@1 40.625 (44.745)	Prec@5 69.531 (75.380)
Epoch: [45][6520/14090]	Time 0.858 (0.766)	Data 0.001 (0.002)	Loss 2.1607 (2.1904)	Prec@1 42.969 (44.747)	Prec@5 76.562 (75.380)
Epoch: [45][6530/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 2.3459 (2.1904)	Prec@1 44.531 (44.747)	Prec@5 74.219 (75.379)
Epoch: [45][6540/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 1.9884 (2.1904)	Prec@1 41.406 (44.747)	Prec@5 77.344 (75.378)
Epoch: [45][6550/14090]	Time 0.750 (0.766)	Data 0.002 (0.002)	Loss 2.2798 (2.1903)	Prec@1 45.312 (44.749)	Prec@5 73.438 (75.382)
Epoch: [45][6560/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 2.3162 (2.1904)	Prec@1 46.094 (44.747)	Prec@5 70.312 (75.381)
Epoch: [45][6570/14090]	Time 0.772 (0.766)	Data 0.002 (0.002)	Loss 1.9490 (2.1902)	Prec@1 50.000 (44.752)	Prec@5 78.906 (75.383)
Epoch: [45][6580/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 2.2265 (2.1903)	Prec@1 51.562 (44.752)	Prec@5 67.969 (75.381)
Epoch: [45][6590/14090]	Time 0.876 (0.766)	Data 0.001 (0.002)	Loss 2.3916 (2.1903)	Prec@1 39.844 (44.752)	Prec@5 72.656 (75.381)
Epoch: [45][6600/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 2.0401 (2.1903)	Prec@1 50.000 (44.751)	Prec@5 71.875 (75.380)
Epoch: [45][6610/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 2.6801 (2.1904)	Prec@1 35.938 (44.749)	Prec@5 64.062 (75.379)
Epoch: [45][6620/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.4220 (2.1905)	Prec@1 40.625 (44.747)	Prec@5 77.344 (75.379)
Epoch: [45][6630/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 2.1179 (2.1905)	Prec@1 42.969 (44.746)	Prec@5 78.125 (75.380)
Epoch: [45][6640/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 2.0614 (2.1905)	Prec@1 47.656 (44.744)	Prec@5 76.562 (75.380)
Epoch: [45][6650/14090]	Time 0.726 (0.766)	Data 0.001 (0.002)	Loss 2.1206 (2.1905)	Prec@1 47.656 (44.743)	Prec@5 75.781 (75.379)
Epoch: [45][6660/14090]	Time 0.846 (0.766)	Data 0.001 (0.002)	Loss 2.2529 (2.1906)	Prec@1 38.281 (44.744)	Prec@5 75.781 (75.377)
Epoch: [45][6670/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.0325 (2.1906)	Prec@1 43.750 (44.743)	Prec@5 78.125 (75.379)
Epoch: [45][6680/14090]	Time 0.725 (0.766)	Data 0.001 (0.002)	Loss 2.2950 (2.1906)	Prec@1 43.750 (44.743)	Prec@5 73.438 (75.378)
Epoch: [45][6690/14090]	Time 0.770 (0.766)	Data 0.001 (0.002)	Loss 2.2455 (2.1906)	Prec@1 41.406 (44.742)	Prec@5 75.781 (75.377)
Epoch: [45][6700/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.1460 (2.1906)	Prec@1 42.969 (44.740)	Prec@5 79.688 (75.380)
Epoch: [45][6710/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 2.3307 (2.1906)	Prec@1 37.500 (44.740)	Prec@5 74.219 (75.378)
Epoch: [45][6720/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 2.0513 (2.1907)	Prec@1 48.438 (44.740)	Prec@5 78.906 (75.378)
Epoch: [45][6730/14090]	Time 0.839 (0.766)	Data 0.001 (0.002)	Loss 2.5252 (2.1908)	Prec@1 39.062 (44.740)	Prec@5 69.531 (75.377)
Epoch: [45][6740/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 2.3041 (2.1909)	Prec@1 45.312 (44.738)	Prec@5 75.000 (75.375)
Epoch: [45][6750/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 2.1778 (2.1909)	Prec@1 45.312 (44.738)	Prec@5 75.000 (75.374)
Epoch: [45][6760/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 2.1675 (2.1911)	Prec@1 48.438 (44.738)	Prec@5 75.781 (75.373)
Epoch: [45][6770/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 1.9659 (2.1909)	Prec@1 50.000 (44.740)	Prec@5 81.250 (75.376)
Epoch: [45][6780/14090]	Time 0.763 (0.766)	Data 0.001 (0.002)	Loss 1.8819 (2.1908)	Prec@1 56.250 (44.742)	Prec@5 78.125 (75.378)
Epoch: [45][6790/14090]	Time 0.744 (0.766)	Data 0.002 (0.002)	Loss 2.0500 (2.1907)	Prec@1 44.531 (44.743)	Prec@5 75.000 (75.380)
Epoch: [45][6800/14090]	Time 0.825 (0.766)	Data 0.001 (0.002)	Loss 2.2371 (2.1906)	Prec@1 45.312 (44.746)	Prec@5 78.125 (75.383)
Epoch: [45][6810/14090]	Time 0.727 (0.766)	Data 0.001 (0.002)	Loss 2.3487 (2.1907)	Prec@1 39.062 (44.742)	Prec@5 75.000 (75.381)
Epoch: [45][6820/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 2.3330 (2.1907)	Prec@1 40.625 (44.739)	Prec@5 69.531 (75.380)
Epoch: [45][6830/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.1278 (2.1907)	Prec@1 46.094 (44.738)	Prec@5 75.000 (75.381)
Epoch: [45][6840/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 1.9158 (2.1907)	Prec@1 43.750 (44.737)	Prec@5 82.812 (75.381)
Epoch: [45][6850/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 1.9281 (2.1906)	Prec@1 50.781 (44.738)	Prec@5 78.125 (75.381)
Epoch: [45][6860/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 2.2734 (2.1907)	Prec@1 43.750 (44.736)	Prec@5 74.219 (75.380)
Epoch: [45][6870/14090]	Time 0.888 (0.766)	Data 0.001 (0.002)	Loss 1.9956 (2.1907)	Prec@1 49.219 (44.736)	Prec@5 81.250 (75.381)
Epoch: [45][6880/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 2.2437 (2.1907)	Prec@1 42.969 (44.736)	Prec@5 72.656 (75.383)
Epoch: [45][6890/14090]	Time 0.728 (0.766)	Data 0.001 (0.002)	Loss 2.1967 (2.1907)	Prec@1 41.406 (44.735)	Prec@5 77.344 (75.382)
Epoch: [45][6900/14090]	Time 0.727 (0.766)	Data 0.001 (0.002)	Loss 2.1887 (2.1905)	Prec@1 44.531 (44.736)	Prec@5 75.000 (75.386)
Epoch: [45][6910/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.0530 (2.1904)	Prec@1 45.312 (44.737)	Prec@5 79.688 (75.389)
Epoch: [45][6920/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 2.0072 (2.1904)	Prec@1 48.438 (44.738)	Prec@5 79.688 (75.390)
Epoch: [45][6930/14090]	Time 0.764 (0.766)	Data 0.001 (0.002)	Loss 2.2514 (2.1904)	Prec@1 42.188 (44.736)	Prec@5 68.750 (75.386)
Epoch: [45][6940/14090]	Time 0.851 (0.766)	Data 0.001 (0.002)	Loss 2.4041 (2.1906)	Prec@1 37.500 (44.731)	Prec@5 71.094 (75.382)
Epoch: [45][6950/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 2.1056 (2.1907)	Prec@1 42.188 (44.729)	Prec@5 79.688 (75.382)
Epoch: [45][6960/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.2604 (2.1908)	Prec@1 43.750 (44.728)	Prec@5 71.094 (75.381)
Epoch: [45][6970/14090]	Time 0.766 (0.766)	Data 0.001 (0.002)	Loss 2.0023 (2.1907)	Prec@1 53.906 (44.730)	Prec@5 75.781 (75.381)
Epoch: [45][6980/14090]	Time 0.723 (0.766)	Data 0.001 (0.002)	Loss 2.2459 (2.1908)	Prec@1 39.062 (44.727)	Prec@5 75.000 (75.381)
Epoch: [45][6990/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.1959 (2.1907)	Prec@1 47.656 (44.732)	Prec@5 77.344 (75.384)
Epoch: [45][7000/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.2149 (2.1908)	Prec@1 42.969 (44.729)	Prec@5 74.219 (75.381)
Epoch: [45][7010/14090]	Time 0.857 (0.766)	Data 0.001 (0.002)	Loss 2.2725 (2.1907)	Prec@1 42.188 (44.730)	Prec@5 78.906 (75.383)
Epoch: [45][7020/14090]	Time 0.725 (0.766)	Data 0.001 (0.002)	Loss 2.0298 (2.1906)	Prec@1 46.875 (44.730)	Prec@5 82.812 (75.384)
Epoch: [45][7030/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.5102 (2.1907)	Prec@1 37.500 (44.727)	Prec@5 69.531 (75.381)
Epoch: [45][7040/14090]	Time 0.724 (0.766)	Data 0.001 (0.002)	Loss 2.1309 (2.1907)	Prec@1 47.656 (44.729)	Prec@5 76.562 (75.383)
Epoch: [45][7050/14090]	Time 0.725 (0.766)	Data 0.001 (0.002)	Loss 2.0547 (2.1909)	Prec@1 48.438 (44.727)	Prec@5 80.469 (75.379)
Epoch: [45][7060/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.0601 (2.1909)	Prec@1 47.656 (44.728)	Prec@5 72.656 (75.378)
Epoch: [45][7070/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.0668 (2.1909)	Prec@1 48.438 (44.729)	Prec@5 78.125 (75.379)
Epoch: [45][7080/14090]	Time 1.007 (0.766)	Data 0.001 (0.002)	Loss 2.2621 (2.1908)	Prec@1 39.062 (44.729)	Prec@5 72.656 (75.379)
Epoch: [45][7090/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 1.9353 (2.1907)	Prec@1 49.219 (44.730)	Prec@5 81.250 (75.382)
Epoch: [45][7100/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 2.1526 (2.1907)	Prec@1 39.062 (44.730)	Prec@5 77.344 (75.382)
Epoch: [45][7110/14090]	Time 0.778 (0.766)	Data 0.001 (0.002)	Loss 2.4419 (2.1908)	Prec@1 46.094 (44.731)	Prec@5 69.531 (75.379)
Epoch: [45][7120/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.1332 (2.1908)	Prec@1 42.969 (44.730)	Prec@5 72.656 (75.378)
Epoch: [45][7130/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.2811 (2.1909)	Prec@1 42.969 (44.729)	Prec@5 72.656 (75.378)
Epoch: [45][7140/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.2496 (2.1909)	Prec@1 42.188 (44.729)	Prec@5 78.125 (75.380)
Epoch: [45][7150/14090]	Time 0.898 (0.766)	Data 0.001 (0.002)	Loss 2.3515 (2.1911)	Prec@1 35.938 (44.723)	Prec@5 71.094 (75.378)
Epoch: [45][7160/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 1.9641 (2.1912)	Prec@1 54.688 (44.721)	Prec@5 77.344 (75.375)
Epoch: [45][7170/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 2.3283 (2.1912)	Prec@1 42.969 (44.720)	Prec@5 70.312 (75.375)
Epoch: [45][7180/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 1.9033 (2.1912)	Prec@1 50.781 (44.722)	Prec@5 75.000 (75.376)
Epoch: [45][7190/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.1372 (2.1911)	Prec@1 47.656 (44.722)	Prec@5 75.781 (75.377)
Epoch: [45][7200/14090]	Time 0.770 (0.766)	Data 0.001 (0.002)	Loss 2.2335 (2.1912)	Prec@1 42.188 (44.719)	Prec@5 75.000 (75.377)
Epoch: [45][7210/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.1833 (2.1912)	Prec@1 50.000 (44.721)	Prec@5 76.562 (75.377)
Epoch: [45][7220/14090]	Time 0.913 (0.766)	Data 0.003 (0.002)	Loss 2.3762 (2.1913)	Prec@1 39.844 (44.718)	Prec@5 73.438 (75.376)
Epoch: [45][7230/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.3761 (2.1913)	Prec@1 39.844 (44.716)	Prec@5 67.188 (75.377)
Epoch: [45][7240/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.1845 (2.1914)	Prec@1 47.656 (44.716)	Prec@5 78.125 (75.376)
Epoch: [45][7250/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.3064 (2.1914)	Prec@1 42.188 (44.716)	Prec@5 75.781 (75.376)
Epoch: [45][7260/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.1406 (2.1914)	Prec@1 50.781 (44.718)	Prec@5 73.438 (75.374)
Epoch: [45][7270/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.3495 (2.1914)	Prec@1 47.656 (44.717)	Prec@5 71.094 (75.374)
Epoch: [45][7280/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.5837 (2.1915)	Prec@1 40.625 (44.715)	Prec@5 61.719 (75.370)
Epoch: [45][7290/14090]	Time 0.867 (0.766)	Data 0.001 (0.002)	Loss 2.0578 (2.1914)	Prec@1 45.312 (44.716)	Prec@5 77.344 (75.371)
Epoch: [45][7300/14090]	Time 0.763 (0.766)	Data 0.001 (0.002)	Loss 2.3626 (2.1915)	Prec@1 42.188 (44.715)	Prec@5 70.312 (75.369)
Epoch: [45][7310/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 2.5701 (2.1916)	Prec@1 39.062 (44.714)	Prec@5 66.406 (75.365)
Epoch: [45][7320/14090]	Time 0.728 (0.766)	Data 0.001 (0.002)	Loss 2.2962 (2.1916)	Prec@1 46.875 (44.713)	Prec@5 70.312 (75.363)
Epoch: [45][7330/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 2.0203 (2.1916)	Prec@1 50.781 (44.713)	Prec@5 78.125 (75.361)
Epoch: [45][7340/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.1217 (2.1916)	Prec@1 47.656 (44.713)	Prec@5 76.562 (75.362)
Epoch: [45][7350/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.0199 (2.1915)	Prec@1 54.688 (44.714)	Prec@5 75.781 (75.361)
Epoch: [45][7360/14090]	Time 0.833 (0.766)	Data 0.001 (0.002)	Loss 2.4601 (2.1916)	Prec@1 40.625 (44.714)	Prec@5 68.750 (75.362)
Epoch: [45][7370/14090]	Time 0.724 (0.766)	Data 0.001 (0.002)	Loss 2.2461 (2.1915)	Prec@1 40.625 (44.717)	Prec@5 71.875 (75.361)
Epoch: [45][7380/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 1.9402 (2.1915)	Prec@1 46.094 (44.719)	Prec@5 79.688 (75.361)
Epoch: [45][7390/14090]	Time 0.726 (0.766)	Data 0.001 (0.002)	Loss 2.3050 (2.1915)	Prec@1 40.625 (44.720)	Prec@5 76.562 (75.360)
Epoch: [45][7400/14090]	Time 0.761 (0.766)	Data 0.001 (0.002)	Loss 2.1521 (2.1916)	Prec@1 41.406 (44.719)	Prec@5 77.344 (75.358)
Epoch: [45][7410/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 2.0517 (2.1917)	Prec@1 45.312 (44.716)	Prec@5 81.250 (75.356)
Epoch: [45][7420/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.0696 (2.1915)	Prec@1 43.750 (44.719)	Prec@5 77.344 (75.360)
Epoch: [45][7430/14090]	Time 0.889 (0.766)	Data 0.001 (0.002)	Loss 2.0992 (2.1914)	Prec@1 45.312 (44.722)	Prec@5 77.344 (75.362)
Epoch: [45][7440/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.5052 (2.1914)	Prec@1 46.875 (44.721)	Prec@5 70.312 (75.360)
Epoch: [45][7450/14090]	Time 0.763 (0.766)	Data 0.001 (0.002)	Loss 2.4343 (2.1915)	Prec@1 34.375 (44.718)	Prec@5 73.438 (75.361)
Epoch: [45][7460/14090]	Time 0.726 (0.766)	Data 0.001 (0.002)	Loss 2.2082 (2.1915)	Prec@1 42.969 (44.718)	Prec@5 69.531 (75.361)
Epoch: [45][7470/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.2247 (2.1916)	Prec@1 39.844 (44.713)	Prec@5 75.781 (75.359)
Epoch: [45][7480/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 2.3409 (2.1918)	Prec@1 42.188 (44.710)	Prec@5 71.094 (75.357)
Epoch: [45][7490/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 2.2271 (2.1918)	Prec@1 45.312 (44.710)	Prec@5 72.656 (75.354)
Epoch: [45][7500/14090]	Time 0.862 (0.766)	Data 0.001 (0.002)	Loss 1.8275 (2.1918)	Prec@1 51.562 (44.712)	Prec@5 78.125 (75.355)
Epoch: [45][7510/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 2.2688 (2.1918)	Prec@1 42.969 (44.712)	Prec@5 71.875 (75.355)
Epoch: [45][7520/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.4094 (2.1918)	Prec@1 46.094 (44.715)	Prec@5 65.625 (75.356)
Epoch: [45][7530/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 2.6491 (2.1917)	Prec@1 34.375 (44.716)	Prec@5 67.969 (75.357)
Epoch: [45][7540/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.2945 (2.1919)	Prec@1 43.750 (44.713)	Prec@5 71.875 (75.354)
Epoch: [45][7550/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.2288 (2.1919)	Prec@1 44.531 (44.714)	Prec@5 71.875 (75.353)
Epoch: [45][7560/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 2.2167 (2.1919)	Prec@1 44.531 (44.714)	Prec@5 75.781 (75.352)
Epoch: [45][7570/14090]	Time 0.851 (0.766)	Data 0.001 (0.002)	Loss 2.1225 (2.1920)	Prec@1 50.000 (44.712)	Prec@5 78.125 (75.349)
Epoch: [45][7580/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 2.1080 (2.1921)	Prec@1 46.094 (44.712)	Prec@5 74.219 (75.348)
Epoch: [45][7590/14090]	Time 0.766 (0.766)	Data 0.001 (0.002)	Loss 2.2085 (2.1920)	Prec@1 46.875 (44.715)	Prec@5 77.344 (75.351)
Epoch: [45][7600/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 2.3660 (2.1920)	Prec@1 39.844 (44.716)	Prec@5 75.781 (75.352)
Epoch: [45][7610/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.0586 (2.1920)	Prec@1 50.781 (44.718)	Prec@5 77.344 (75.351)
Epoch: [45][7620/14090]	Time 0.777 (0.766)	Data 0.001 (0.002)	Loss 1.9673 (2.1920)	Prec@1 45.312 (44.718)	Prec@5 81.250 (75.349)
Epoch: [45][7630/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.2377 (2.1921)	Prec@1 43.750 (44.714)	Prec@5 71.094 (75.346)
Epoch: [45][7640/14090]	Time 0.833 (0.766)	Data 0.001 (0.002)	Loss 2.1617 (2.1920)	Prec@1 47.656 (44.717)	Prec@5 71.875 (75.349)
Epoch: [45][7650/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.1952 (2.1920)	Prec@1 40.625 (44.717)	Prec@5 72.656 (75.347)
Epoch: [45][7660/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 2.3058 (2.1921)	Prec@1 42.969 (44.715)	Prec@5 70.312 (75.346)
Epoch: [45][7670/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.0548 (2.1922)	Prec@1 48.438 (44.711)	Prec@5 77.344 (75.342)
Epoch: [45][7680/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.2209 (2.1923)	Prec@1 42.188 (44.710)	Prec@5 74.219 (75.339)
Epoch: [45][7690/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.1246 (2.1923)	Prec@1 46.094 (44.710)	Prec@5 76.562 (75.338)
Epoch: [45][7700/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 2.3939 (2.1924)	Prec@1 35.938 (44.707)	Prec@5 70.312 (75.339)
Epoch: [45][7710/14090]	Time 0.875 (0.766)	Data 0.001 (0.002)	Loss 2.1019 (2.1923)	Prec@1 48.438 (44.707)	Prec@5 78.125 (75.341)
Epoch: [45][7720/14090]	Time 0.727 (0.766)	Data 0.001 (0.002)	Loss 2.1684 (2.1923)	Prec@1 46.875 (44.709)	Prec@5 78.125 (75.342)
Epoch: [45][7730/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 2.0439 (2.1923)	Prec@1 50.781 (44.711)	Prec@5 77.344 (75.342)
Epoch: [45][7740/14090]	Time 0.773 (0.766)	Data 0.001 (0.002)	Loss 2.2599 (2.1923)	Prec@1 40.625 (44.710)	Prec@5 76.562 (75.342)
Epoch: [45][7750/14090]	Time 0.726 (0.766)	Data 0.001 (0.002)	Loss 2.2122 (2.1924)	Prec@1 47.656 (44.710)	Prec@5 75.781 (75.341)
Epoch: [45][7760/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 2.0777 (2.1924)	Prec@1 42.188 (44.710)	Prec@5 77.344 (75.342)
Epoch: [45][7770/14090]	Time 0.769 (0.766)	Data 0.001 (0.002)	Loss 2.3485 (2.1923)	Prec@1 42.969 (44.710)	Prec@5 67.188 (75.343)
Epoch: [45][7780/14090]	Time 0.880 (0.766)	Data 0.001 (0.002)	Loss 1.9714 (2.1924)	Prec@1 49.219 (44.709)	Prec@5 79.688 (75.343)
Epoch: [45][7790/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 2.2883 (2.1924)	Prec@1 49.219 (44.709)	Prec@5 71.875 (75.341)
Epoch: [45][7800/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.3252 (2.1925)	Prec@1 47.656 (44.711)	Prec@5 71.875 (75.341)
Epoch: [45][7810/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 2.1553 (2.1925)	Prec@1 41.406 (44.709)	Prec@5 75.781 (75.338)
Epoch: [45][7820/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.1167 (2.1926)	Prec@1 49.219 (44.709)	Prec@5 77.344 (75.338)
Epoch: [45][7830/14090]	Time 0.765 (0.766)	Data 0.003 (0.002)	Loss 2.2192 (2.1926)	Prec@1 50.000 (44.713)	Prec@5 75.781 (75.340)
Epoch: [45][7840/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 2.2943 (2.1926)	Prec@1 40.625 (44.710)	Prec@5 71.875 (75.337)
Epoch: [45][7850/14090]	Time 0.886 (0.766)	Data 0.001 (0.002)	Loss 2.1303 (2.1927)	Prec@1 46.094 (44.707)	Prec@5 78.125 (75.335)
Epoch: [45][7860/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.3054 (2.1927)	Prec@1 40.625 (44.705)	Prec@5 71.094 (75.336)
Epoch: [45][7870/14090]	Time 0.724 (0.766)	Data 0.001 (0.001)	Loss 2.3408 (2.1928)	Prec@1 39.844 (44.704)	Prec@5 72.656 (75.336)
Epoch: [45][7880/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.3928 (2.1926)	Prec@1 42.188 (44.708)	Prec@5 74.219 (75.341)
Epoch: [45][7890/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.3246 (2.1926)	Prec@1 40.625 (44.706)	Prec@5 75.781 (75.341)
Epoch: [45][7900/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.2953 (2.1925)	Prec@1 46.094 (44.708)	Prec@5 67.188 (75.342)
Epoch: [45][7910/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.4287 (2.1925)	Prec@1 47.656 (44.708)	Prec@5 70.312 (75.340)
Epoch: [45][7920/14090]	Time 0.880 (0.766)	Data 0.001 (0.001)	Loss 2.2849 (2.1925)	Prec@1 44.531 (44.708)	Prec@5 71.875 (75.341)
Epoch: [45][7930/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 1.9340 (2.1924)	Prec@1 46.094 (44.709)	Prec@5 81.250 (75.342)
Epoch: [45][7940/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 2.0702 (2.1924)	Prec@1 49.219 (44.713)	Prec@5 78.906 (75.345)
Epoch: [45][7950/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.4103 (2.1925)	Prec@1 40.625 (44.713)	Prec@5 71.094 (75.342)
Epoch: [45][7960/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.2179 (2.1925)	Prec@1 46.875 (44.711)	Prec@5 78.906 (75.342)
Epoch: [45][7970/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.1866 (2.1926)	Prec@1 42.969 (44.710)	Prec@5 77.344 (75.341)
Epoch: [45][7980/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 2.0668 (2.1926)	Prec@1 44.531 (44.708)	Prec@5 76.562 (75.341)
Epoch: [45][7990/14090]	Time 0.890 (0.766)	Data 0.001 (0.001)	Loss 2.2379 (2.1925)	Prec@1 41.406 (44.710)	Prec@5 76.562 (75.341)
Epoch: [45][8000/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.3929 (2.1926)	Prec@1 35.938 (44.709)	Prec@5 70.312 (75.341)
Epoch: [45][8010/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 1.8135 (2.1925)	Prec@1 55.469 (44.712)	Prec@5 80.469 (75.342)
Epoch: [45][8020/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.3723 (2.1925)	Prec@1 46.875 (44.712)	Prec@5 69.531 (75.341)
Epoch: [45][8030/14090]	Time 0.770 (0.766)	Data 0.001 (0.001)	Loss 2.0396 (2.1925)	Prec@1 50.781 (44.713)	Prec@5 74.219 (75.342)
Epoch: [45][8040/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 1.9949 (2.1925)	Prec@1 50.000 (44.712)	Prec@5 79.688 (75.342)
Epoch: [45][8050/14090]	Time 0.768 (0.766)	Data 0.001 (0.001)	Loss 2.2107 (2.1926)	Prec@1 48.438 (44.712)	Prec@5 72.656 (75.340)
Epoch: [45][8060/14090]	Time 0.869 (0.766)	Data 0.001 (0.001)	Loss 1.9795 (2.1925)	Prec@1 49.219 (44.715)	Prec@5 78.906 (75.340)
Epoch: [45][8070/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.2524 (2.1925)	Prec@1 39.844 (44.713)	Prec@5 71.094 (75.339)
Epoch: [45][8080/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.1271 (2.1926)	Prec@1 42.188 (44.710)	Prec@5 76.562 (75.338)
Epoch: [45][8090/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.2212 (2.1927)	Prec@1 42.188 (44.708)	Prec@5 72.656 (75.336)
Epoch: [45][8100/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.1519 (2.1928)	Prec@1 40.625 (44.705)	Prec@5 74.219 (75.334)
Epoch: [45][8110/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 1.9978 (2.1928)	Prec@1 50.000 (44.705)	Prec@5 80.469 (75.335)
Epoch: [45][8120/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.1509 (2.1929)	Prec@1 47.656 (44.704)	Prec@5 75.000 (75.333)
Epoch: [45][8130/14090]	Time 0.819 (0.766)	Data 0.001 (0.001)	Loss 2.2182 (2.1929)	Prec@1 48.438 (44.704)	Prec@5 75.000 (75.334)
Epoch: [45][8140/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.3375 (2.1930)	Prec@1 40.625 (44.702)	Prec@5 74.219 (75.331)
Epoch: [45][8150/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 1.9917 (2.1930)	Prec@1 50.000 (44.703)	Prec@5 74.219 (75.331)
Epoch: [45][8160/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.3186 (2.1930)	Prec@1 44.531 (44.702)	Prec@5 71.875 (75.330)
Epoch: [45][8170/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.3725 (2.1931)	Prec@1 38.281 (44.701)	Prec@5 73.438 (75.329)
Epoch: [45][8180/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.1756 (2.1931)	Prec@1 46.875 (44.701)	Prec@5 81.250 (75.331)
Epoch: [45][8190/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.0253 (2.1931)	Prec@1 48.438 (44.701)	Prec@5 81.250 (75.332)
Epoch: [45][8200/14090]	Time 0.863 (0.766)	Data 0.001 (0.001)	Loss 2.2587 (2.1931)	Prec@1 46.094 (44.700)	Prec@5 75.781 (75.331)
Epoch: [45][8210/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.2159 (2.1932)	Prec@1 42.188 (44.697)	Prec@5 74.219 (75.329)
Epoch: [45][8220/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 2.2442 (2.1933)	Prec@1 42.188 (44.696)	Prec@5 71.094 (75.326)
Epoch: [45][8230/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.2854 (2.1934)	Prec@1 44.531 (44.694)	Prec@5 71.875 (75.324)
Epoch: [45][8240/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.3584 (2.1933)	Prec@1 41.406 (44.694)	Prec@5 68.750 (75.325)
Epoch: [45][8250/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.4677 (2.1932)	Prec@1 36.719 (44.696)	Prec@5 68.750 (75.326)
Epoch: [45][8260/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.1675 (2.1931)	Prec@1 46.094 (44.696)	Prec@5 76.562 (75.328)
Epoch: [45][8270/14090]	Time 0.873 (0.766)	Data 0.001 (0.001)	Loss 2.3981 (2.1932)	Prec@1 42.969 (44.695)	Prec@5 74.219 (75.328)
Epoch: [45][8280/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 2.2964 (2.1932)	Prec@1 40.625 (44.695)	Prec@5 69.531 (75.328)
Epoch: [45][8290/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.1565 (2.1933)	Prec@1 42.969 (44.694)	Prec@5 74.219 (75.327)
Epoch: [45][8300/14090]	Time 0.717 (0.766)	Data 0.001 (0.001)	Loss 2.0043 (2.1933)	Prec@1 45.312 (44.692)	Prec@5 82.031 (75.327)
Epoch: [45][8310/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 1.9510 (2.1933)	Prec@1 50.000 (44.691)	Prec@5 78.125 (75.328)
Epoch: [45][8320/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.3480 (2.1932)	Prec@1 43.750 (44.693)	Prec@5 71.094 (75.329)
Epoch: [45][8330/14090]	Time 0.782 (0.766)	Data 0.001 (0.001)	Loss 2.4083 (2.1933)	Prec@1 39.062 (44.688)	Prec@5 70.312 (75.326)
Epoch: [45][8340/14090]	Time 0.869 (0.766)	Data 0.001 (0.001)	Loss 2.1461 (2.1933)	Prec@1 39.844 (44.687)	Prec@5 82.812 (75.326)
Epoch: [45][8350/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 1.9375 (2.1933)	Prec@1 50.781 (44.688)	Prec@5 80.469 (75.326)
Epoch: [45][8360/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.1503 (2.1933)	Prec@1 43.750 (44.689)	Prec@5 75.000 (75.326)
Epoch: [45][8370/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.0398 (2.1932)	Prec@1 48.438 (44.691)	Prec@5 76.562 (75.327)
Epoch: [45][8380/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.3948 (2.1932)	Prec@1 43.750 (44.693)	Prec@5 66.406 (75.325)
Epoch: [45][8390/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.3114 (2.1932)	Prec@1 35.938 (44.691)	Prec@5 78.125 (75.326)
Epoch: [45][8400/14090]	Time 0.774 (0.766)	Data 0.001 (0.001)	Loss 2.0983 (2.1932)	Prec@1 48.438 (44.689)	Prec@5 78.125 (75.327)
Epoch: [45][8410/14090]	Time 0.856 (0.766)	Data 0.001 (0.001)	Loss 2.2438 (2.1932)	Prec@1 44.531 (44.687)	Prec@5 73.438 (75.328)
Epoch: [45][8420/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.3674 (2.1932)	Prec@1 43.750 (44.690)	Prec@5 74.219 (75.329)
Epoch: [45][8430/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.3887 (2.1933)	Prec@1 35.938 (44.687)	Prec@5 75.000 (75.327)
Epoch: [45][8440/14090]	Time 0.774 (0.766)	Data 0.001 (0.001)	Loss 1.9516 (2.1932)	Prec@1 50.000 (44.687)	Prec@5 81.250 (75.328)
Epoch: [45][8450/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.1683 (2.1932)	Prec@1 46.875 (44.687)	Prec@5 75.781 (75.329)
Epoch: [45][8460/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.0894 (2.1932)	Prec@1 40.625 (44.685)	Prec@5 77.344 (75.328)
Epoch: [45][8470/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.0410 (2.1932)	Prec@1 46.875 (44.685)	Prec@5 80.469 (75.330)
Epoch: [45][8480/14090]	Time 0.870 (0.766)	Data 0.001 (0.001)	Loss 1.9721 (2.1932)	Prec@1 47.656 (44.684)	Prec@5 79.688 (75.331)
Epoch: [45][8490/14090]	Time 0.764 (0.766)	Data 0.003 (0.001)	Loss 2.3853 (2.1932)	Prec@1 42.188 (44.683)	Prec@5 74.219 (75.331)
Epoch: [45][8500/14090]	Time 0.722 (0.766)	Data 0.001 (0.001)	Loss 2.0256 (2.1931)	Prec@1 54.688 (44.686)	Prec@5 88.281 (75.333)
Epoch: [45][8510/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.3621 (2.1932)	Prec@1 42.188 (44.685)	Prec@5 69.531 (75.332)
Epoch: [45][8520/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 2.1917 (2.1932)	Prec@1 46.875 (44.685)	Prec@5 72.656 (75.333)
Epoch: [45][8530/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.0523 (2.1931)	Prec@1 46.875 (44.686)	Prec@5 79.688 (75.335)
Epoch: [45][8540/14090]	Time 0.781 (0.766)	Data 0.001 (0.001)	Loss 2.3517 (2.1931)	Prec@1 38.281 (44.685)	Prec@5 77.344 (75.335)
Epoch: [45][8550/14090]	Time 1.023 (0.766)	Data 0.001 (0.001)	Loss 2.0100 (2.1932)	Prec@1 48.438 (44.682)	Prec@5 79.688 (75.335)
Epoch: [45][8560/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.2926 (2.1932)	Prec@1 42.188 (44.685)	Prec@5 75.781 (75.336)
Epoch: [45][8570/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.2777 (2.1932)	Prec@1 46.094 (44.685)	Prec@5 76.562 (75.335)
Epoch: [45][8580/14090]	Time 0.722 (0.766)	Data 0.001 (0.001)	Loss 2.0929 (2.1933)	Prec@1 44.531 (44.683)	Prec@5 80.469 (75.333)
Epoch: [45][8590/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.1850 (2.1933)	Prec@1 47.656 (44.685)	Prec@5 76.562 (75.333)
Epoch: [45][8600/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.3895 (2.1935)	Prec@1 36.719 (44.681)	Prec@5 72.656 (75.330)
Epoch: [45][8610/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.1212 (2.1935)	Prec@1 53.906 (44.682)	Prec@5 78.125 (75.331)
Epoch: [45][8620/14090]	Time 0.836 (0.766)	Data 0.001 (0.001)	Loss 2.4234 (2.1935)	Prec@1 39.844 (44.679)	Prec@5 68.750 (75.329)
Epoch: [45][8630/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 1.9249 (2.1935)	Prec@1 52.344 (44.682)	Prec@5 80.469 (75.330)
Epoch: [45][8640/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.2130 (2.1935)	Prec@1 45.312 (44.684)	Prec@5 74.219 (75.329)
Epoch: [45][8650/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.3049 (2.1935)	Prec@1 41.406 (44.685)	Prec@5 71.094 (75.329)
Epoch: [45][8660/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 2.4612 (2.1934)	Prec@1 46.094 (44.686)	Prec@5 69.531 (75.330)
Epoch: [45][8670/14090]	Time 0.736 (0.766)	Data 0.002 (0.001)	Loss 2.3060 (2.1934)	Prec@1 41.406 (44.687)	Prec@5 74.219 (75.330)
Epoch: [45][8680/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.1970 (2.1935)	Prec@1 39.844 (44.686)	Prec@5 71.875 (75.328)
Epoch: [45][8690/14090]	Time 0.989 (0.766)	Data 0.001 (0.001)	Loss 2.2200 (2.1934)	Prec@1 39.844 (44.686)	Prec@5 77.344 (75.327)
Epoch: [45][8700/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.2166 (2.1936)	Prec@1 42.969 (44.685)	Prec@5 74.219 (75.326)
Epoch: [45][8710/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.4410 (2.1936)	Prec@1 39.844 (44.686)	Prec@5 66.406 (75.325)
Epoch: [45][8720/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.3985 (2.1936)	Prec@1 44.531 (44.684)	Prec@5 68.750 (75.324)
Epoch: [45][8730/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 1.9650 (2.1935)	Prec@1 48.438 (44.687)	Prec@5 75.781 (75.326)
Epoch: [45][8740/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.2775 (2.1936)	Prec@1 44.531 (44.686)	Prec@5 72.656 (75.323)
Epoch: [45][8750/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.2216 (2.1936)	Prec@1 46.875 (44.688)	Prec@5 74.219 (75.323)
Epoch: [45][8760/14090]	Time 0.891 (0.766)	Data 0.001 (0.001)	Loss 2.3540 (2.1937)	Prec@1 39.062 (44.686)	Prec@5 76.562 (75.321)
Epoch: [45][8770/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 2.3109 (2.1937)	Prec@1 42.969 (44.686)	Prec@5 72.656 (75.321)
Epoch: [45][8780/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.2841 (2.1936)	Prec@1 43.750 (44.686)	Prec@5 73.438 (75.321)
Epoch: [45][8790/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.1313 (2.1936)	Prec@1 45.312 (44.686)	Prec@5 79.688 (75.323)
Epoch: [45][8800/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.1029 (2.1935)	Prec@1 48.438 (44.688)	Prec@5 75.781 (75.324)
Epoch: [45][8810/14090]	Time 0.723 (0.766)	Data 0.001 (0.001)	Loss 2.1545 (2.1935)	Prec@1 50.000 (44.691)	Prec@5 71.094 (75.326)
Epoch: [45][8820/14090]	Time 0.774 (0.766)	Data 0.001 (0.001)	Loss 2.0185 (2.1935)	Prec@1 51.562 (44.691)	Prec@5 81.250 (75.326)
Epoch: [45][8830/14090]	Time 1.031 (0.766)	Data 0.001 (0.001)	Loss 2.1162 (2.1935)	Prec@1 45.312 (44.690)	Prec@5 75.781 (75.325)
Epoch: [45][8840/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.1024 (2.1934)	Prec@1 46.875 (44.692)	Prec@5 81.250 (75.325)
Epoch: [45][8850/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 1.9519 (2.1934)	Prec@1 47.656 (44.692)	Prec@5 75.000 (75.323)
Epoch: [45][8860/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.2473 (2.1934)	Prec@1 43.750 (44.691)	Prec@5 75.781 (75.323)
Epoch: [45][8870/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.2040 (2.1934)	Prec@1 46.875 (44.694)	Prec@5 75.000 (75.323)
Epoch: [45][8880/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.0768 (2.1933)	Prec@1 47.656 (44.697)	Prec@5 73.438 (75.325)
Epoch: [45][8890/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.0530 (2.1933)	Prec@1 42.969 (44.697)	Prec@5 80.469 (75.326)
Epoch: [45][8900/14090]	Time 0.869 (0.766)	Data 0.001 (0.001)	Loss 2.1566 (2.1933)	Prec@1 41.406 (44.697)	Prec@5 74.219 (75.326)
Epoch: [45][8910/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.1550 (2.1933)	Prec@1 42.969 (44.695)	Prec@5 75.781 (75.327)
Epoch: [45][8920/14090]	Time 0.770 (0.766)	Data 0.001 (0.001)	Loss 2.2585 (2.1933)	Prec@1 44.531 (44.696)	Prec@5 75.000 (75.327)
Epoch: [45][8930/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.3201 (2.1932)	Prec@1 37.500 (44.697)	Prec@5 72.656 (75.327)
Epoch: [45][8940/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 1.8982 (2.1932)	Prec@1 53.906 (44.699)	Prec@5 81.250 (75.327)
Epoch: [45][8950/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.0265 (2.1931)	Prec@1 47.656 (44.700)	Prec@5 75.781 (75.327)
Epoch: [45][8960/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 1.9918 (2.1932)	Prec@1 46.875 (44.699)	Prec@5 76.562 (75.324)
Epoch: [45][8970/14090]	Time 0.940 (0.766)	Data 0.001 (0.001)	Loss 2.1235 (2.1932)	Prec@1 46.094 (44.699)	Prec@5 77.344 (75.325)
Epoch: [45][8980/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.3042 (2.1932)	Prec@1 39.062 (44.697)	Prec@5 73.438 (75.325)
Epoch: [45][8990/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.2975 (2.1933)	Prec@1 41.406 (44.696)	Prec@5 77.344 (75.323)
Epoch: [45][9000/14090]	Time 0.773 (0.766)	Data 0.001 (0.001)	Loss 2.4697 (2.1934)	Prec@1 35.156 (44.695)	Prec@5 67.969 (75.321)
Epoch: [45][9010/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.1289 (2.1935)	Prec@1 50.781 (44.694)	Prec@5 75.781 (75.321)
Epoch: [45][9020/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.2060 (2.1935)	Prec@1 38.281 (44.693)	Prec@5 75.000 (75.320)
Epoch: [45][9030/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.2445 (2.1936)	Prec@1 40.625 (44.694)	Prec@5 71.875 (75.319)
Epoch: [45][9040/14090]	Time 0.865 (0.766)	Data 0.001 (0.001)	Loss 2.2838 (2.1936)	Prec@1 42.188 (44.693)	Prec@5 74.219 (75.317)
Epoch: [45][9050/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 2.0509 (2.1935)	Prec@1 42.969 (44.693)	Prec@5 78.906 (75.319)
Epoch: [45][9060/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 2.3420 (2.1935)	Prec@1 44.531 (44.694)	Prec@5 71.094 (75.320)
Epoch: [45][9070/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 2.3474 (2.1935)	Prec@1 43.750 (44.693)	Prec@5 72.656 (75.319)
Epoch: [45][9080/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.2618 (2.1935)	Prec@1 45.312 (44.692)	Prec@5 76.562 (75.320)
Epoch: [45][9090/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 2.0673 (2.1934)	Prec@1 46.875 (44.695)	Prec@5 77.344 (75.321)
Epoch: [45][9100/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.4214 (2.1935)	Prec@1 43.750 (44.694)	Prec@5 74.219 (75.320)
Epoch: [45][9110/14090]	Time 0.896 (0.766)	Data 0.001 (0.001)	Loss 2.1540 (2.1935)	Prec@1 42.969 (44.694)	Prec@5 77.344 (75.320)
Epoch: [45][9120/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.3429 (2.1935)	Prec@1 44.531 (44.696)	Prec@5 70.312 (75.320)
Epoch: [45][9130/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 1.8891 (2.1935)	Prec@1 50.781 (44.697)	Prec@5 75.781 (75.320)
Epoch: [45][9140/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 1.9535 (2.1935)	Prec@1 51.562 (44.696)	Prec@5 80.469 (75.319)
Epoch: [45][9150/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.2745 (2.1935)	Prec@1 44.531 (44.694)	Prec@5 73.438 (75.319)
Epoch: [45][9160/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.0243 (2.1935)	Prec@1 51.562 (44.695)	Prec@5 80.469 (75.319)
Epoch: [45][9170/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.3021 (2.1935)	Prec@1 40.625 (44.694)	Prec@5 71.094 (75.319)
Epoch: [45][9180/14090]	Time 0.872 (0.766)	Data 0.001 (0.001)	Loss 2.3615 (2.1935)	Prec@1 42.188 (44.693)	Prec@5 74.219 (75.318)
Epoch: [45][9190/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.0114 (2.1935)	Prec@1 42.188 (44.692)	Prec@5 78.906 (75.317)
Epoch: [45][9200/14090]	Time 0.724 (0.766)	Data 0.001 (0.001)	Loss 2.0129 (2.1935)	Prec@1 50.781 (44.693)	Prec@5 81.250 (75.318)
Epoch: [45][9210/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.3540 (2.1936)	Prec@1 39.844 (44.693)	Prec@5 74.219 (75.316)
Epoch: [45][9220/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 2.0311 (2.1935)	Prec@1 50.000 (44.695)	Prec@5 75.781 (75.316)
Epoch: [45][9230/14090]	Time 0.765 (0.766)	Data 0.001 (0.001)	Loss 2.2227 (2.1936)	Prec@1 50.781 (44.694)	Prec@5 73.438 (75.314)
Epoch: [45][9240/14090]	Time 0.770 (0.766)	Data 0.001 (0.001)	Loss 2.4306 (2.1936)	Prec@1 39.844 (44.693)	Prec@5 71.875 (75.314)
Epoch: [45][9250/14090]	Time 0.860 (0.766)	Data 0.001 (0.001)	Loss 2.3873 (2.1937)	Prec@1 46.094 (44.694)	Prec@5 71.094 (75.314)
Epoch: [45][9260/14090]	Time 0.720 (0.766)	Data 0.001 (0.001)	Loss 2.2377 (2.1936)	Prec@1 46.875 (44.694)	Prec@5 71.875 (75.316)
Epoch: [45][9270/14090]	Time 0.722 (0.766)	Data 0.001 (0.001)	Loss 2.0412 (2.1936)	Prec@1 44.531 (44.694)	Prec@5 81.250 (75.316)
Epoch: [45][9280/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 1.9386 (2.1936)	Prec@1 49.219 (44.694)	Prec@5 80.469 (75.316)
Epoch: [45][9290/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.0531 (2.1936)	Prec@1 46.094 (44.693)	Prec@5 77.344 (75.316)
Epoch: [45][9300/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.0873 (2.1936)	Prec@1 48.438 (44.695)	Prec@5 76.562 (75.317)
Epoch: [45][9310/14090]	Time 0.730 (0.766)	Data 0.002 (0.001)	Loss 2.3500 (2.1935)	Prec@1 43.750 (44.695)	Prec@5 73.438 (75.317)
Epoch: [45][9320/14090]	Time 0.828 (0.766)	Data 0.001 (0.001)	Loss 2.1720 (2.1935)	Prec@1 46.094 (44.696)	Prec@5 73.438 (75.318)
Epoch: [45][9330/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 1.8774 (2.1936)	Prec@1 54.688 (44.694)	Prec@5 81.250 (75.318)
Epoch: [45][9340/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.2251 (2.1936)	Prec@1 39.062 (44.694)	Prec@5 73.438 (75.317)
Epoch: [45][9350/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 1.9582 (2.1935)	Prec@1 53.125 (44.697)	Prec@5 78.906 (75.319)
Epoch: [45][9360/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.2947 (2.1936)	Prec@1 43.750 (44.696)	Prec@5 75.781 (75.316)
Epoch: [45][9370/14090]	Time 0.770 (0.766)	Data 0.001 (0.001)	Loss 2.1203 (2.1936)	Prec@1 45.312 (44.695)	Prec@5 78.125 (75.316)
Epoch: [45][9380/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 1.9653 (2.1935)	Prec@1 46.875 (44.697)	Prec@5 82.031 (75.317)
Epoch: [45][9390/14090]	Time 0.884 (0.766)	Data 0.001 (0.001)	Loss 2.1668 (2.1935)	Prec@1 47.656 (44.697)	Prec@5 75.781 (75.318)
Epoch: [45][9400/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.2603 (2.1935)	Prec@1 46.094 (44.699)	Prec@5 79.688 (75.320)
Epoch: [45][9410/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.0540 (2.1934)	Prec@1 49.219 (44.700)	Prec@5 78.125 (75.320)
Epoch: [45][9420/14090]	Time 0.730 (0.766)	Data 0.002 (0.001)	Loss 2.3295 (2.1934)	Prec@1 43.750 (44.699)	Prec@5 73.438 (75.320)
Epoch: [45][9430/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.3064 (2.1935)	Prec@1 42.188 (44.698)	Prec@5 74.219 (75.319)
Epoch: [45][9440/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 2.2681 (2.1937)	Prec@1 39.062 (44.695)	Prec@5 71.094 (75.317)
Epoch: [45][9450/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 2.6719 (2.1937)	Prec@1 35.156 (44.692)	Prec@5 64.062 (75.315)
Epoch: [45][9460/14090]	Time 0.872 (0.766)	Data 0.001 (0.001)	Loss 2.2311 (2.1938)	Prec@1 38.281 (44.691)	Prec@5 78.906 (75.315)
Epoch: [45][9470/14090]	Time 0.765 (0.766)	Data 0.001 (0.001)	Loss 2.2311 (2.1938)	Prec@1 42.188 (44.689)	Prec@5 72.656 (75.315)
Epoch: [45][9480/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.2080 (2.1938)	Prec@1 47.656 (44.690)	Prec@5 71.094 (75.315)
Epoch: [45][9490/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 2.2056 (2.1939)	Prec@1 43.750 (44.689)	Prec@5 75.000 (75.313)
Epoch: [45][9500/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.0479 (2.1939)	Prec@1 46.875 (44.689)	Prec@5 76.562 (75.312)
Epoch: [45][9510/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.2133 (2.1939)	Prec@1 40.625 (44.689)	Prec@5 76.562 (75.314)
Epoch: [45][9520/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.3986 (2.1939)	Prec@1 36.719 (44.690)	Prec@5 73.438 (75.312)
Epoch: [45][9530/14090]	Time 0.871 (0.766)	Data 0.001 (0.001)	Loss 2.2236 (2.1940)	Prec@1 46.875 (44.688)	Prec@5 72.656 (75.311)
Epoch: [45][9540/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.1217 (2.1940)	Prec@1 47.656 (44.687)	Prec@5 78.125 (75.311)
Epoch: [45][9550/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.5410 (2.1941)	Prec@1 36.719 (44.687)	Prec@5 69.531 (75.308)
Epoch: [45][9560/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.4569 (2.1943)	Prec@1 39.062 (44.685)	Prec@5 72.656 (75.306)
Epoch: [45][9570/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 1.8753 (2.1942)	Prec@1 53.906 (44.686)	Prec@5 77.344 (75.307)
Epoch: [45][9580/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.2274 (2.1942)	Prec@1 46.094 (44.686)	Prec@5 78.125 (75.308)
Epoch: [45][9590/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.4017 (2.1943)	Prec@1 41.406 (44.686)	Prec@5 71.094 (75.308)
Epoch: [45][9600/14090]	Time 0.856 (0.766)	Data 0.001 (0.001)	Loss 2.0969 (2.1942)	Prec@1 42.188 (44.685)	Prec@5 81.250 (75.310)
Epoch: [45][9610/14090]	Time 0.720 (0.766)	Data 0.001 (0.001)	Loss 2.0996 (2.1942)	Prec@1 46.875 (44.683)	Prec@5 81.250 (75.310)
Epoch: [45][9620/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 1.9483 (2.1942)	Prec@1 53.906 (44.685)	Prec@5 78.125 (75.311)
Epoch: [45][9630/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 1.7865 (2.1941)	Prec@1 52.344 (44.686)	Prec@5 83.594 (75.312)
Epoch: [45][9640/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.5189 (2.1941)	Prec@1 39.844 (44.686)	Prec@5 69.531 (75.311)
Epoch: [45][9650/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.7217 (2.1941)	Prec@1 34.375 (44.686)	Prec@5 61.719 (75.310)
Epoch: [45][9660/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.2454 (2.1941)	Prec@1 49.219 (44.685)	Prec@5 77.344 (75.309)
Epoch: [45][9670/14090]	Time 0.862 (0.766)	Data 0.001 (0.001)	Loss 2.2256 (2.1942)	Prec@1 45.312 (44.684)	Prec@5 74.219 (75.309)
Epoch: [45][9680/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.3072 (2.1942)	Prec@1 42.188 (44.681)	Prec@5 67.969 (75.306)
Epoch: [45][9690/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 2.0108 (2.1942)	Prec@1 49.219 (44.683)	Prec@5 81.250 (75.308)
Epoch: [45][9700/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.1697 (2.1941)	Prec@1 50.781 (44.686)	Prec@5 71.875 (75.308)
Epoch: [45][9710/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 1.9444 (2.1941)	Prec@1 50.781 (44.687)	Prec@5 82.031 (75.308)
Epoch: [45][9720/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.1538 (2.1941)	Prec@1 43.750 (44.685)	Prec@5 80.469 (75.308)
Epoch: [45][9730/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.3042 (2.1942)	Prec@1 40.625 (44.682)	Prec@5 71.094 (75.306)
Epoch: [45][9740/14090]	Time 0.861 (0.766)	Data 0.001 (0.001)	Loss 2.3817 (2.1943)	Prec@1 44.531 (44.682)	Prec@5 73.438 (75.306)
Epoch: [45][9750/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.0304 (2.1942)	Prec@1 49.219 (44.682)	Prec@5 77.344 (75.306)
Epoch: [45][9760/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.0289 (2.1944)	Prec@1 50.000 (44.680)	Prec@5 77.344 (75.304)
Epoch: [45][9770/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.1445 (2.1944)	Prec@1 43.750 (44.679)	Prec@5 76.562 (75.304)
Epoch: [45][9780/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 1.9874 (2.1943)	Prec@1 50.781 (44.679)	Prec@5 81.250 (75.306)
Epoch: [45][9790/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.2222 (2.1944)	Prec@1 39.062 (44.677)	Prec@5 73.438 (75.307)
Epoch: [45][9800/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.2281 (2.1943)	Prec@1 42.969 (44.679)	Prec@5 75.000 (75.310)
Epoch: [45][9810/14090]	Time 0.876 (0.765)	Data 0.001 (0.001)	Loss 2.2831 (2.1943)	Prec@1 43.750 (44.678)	Prec@5 73.438 (75.310)
Epoch: [45][9820/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.4385 (2.1944)	Prec@1 39.844 (44.677)	Prec@5 70.312 (75.308)
Epoch: [45][9830/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.1064 (2.1944)	Prec@1 42.188 (44.675)	Prec@5 75.781 (75.308)
Epoch: [45][9840/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.2288 (2.1944)	Prec@1 44.531 (44.673)	Prec@5 76.562 (75.308)
Epoch: [45][9850/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.2131 (2.1944)	Prec@1 45.312 (44.673)	Prec@5 72.656 (75.309)
Epoch: [45][9860/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.3644 (2.1944)	Prec@1 39.844 (44.673)	Prec@5 75.781 (75.310)
Epoch: [45][9870/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.2493 (2.1944)	Prec@1 47.656 (44.674)	Prec@5 69.531 (75.310)
Epoch: [45][9880/14090]	Time 0.880 (0.765)	Data 0.001 (0.001)	Loss 2.1532 (2.1944)	Prec@1 39.844 (44.672)	Prec@5 76.562 (75.308)
Epoch: [45][9890/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.2011 (2.1944)	Prec@1 48.438 (44.673)	Prec@5 74.219 (75.309)
Epoch: [45][9900/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.2440 (2.1945)	Prec@1 46.094 (44.672)	Prec@5 75.000 (75.308)
Epoch: [45][9910/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.1609 (2.1945)	Prec@1 43.750 (44.671)	Prec@5 78.906 (75.308)
Epoch: [45][9920/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.0803 (2.1945)	Prec@1 46.875 (44.672)	Prec@5 75.000 (75.309)
Epoch: [45][9930/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.1879 (2.1945)	Prec@1 43.750 (44.672)	Prec@5 75.000 (75.308)
Epoch: [45][9940/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.6077 (2.1945)	Prec@1 41.406 (44.671)	Prec@5 66.406 (75.306)
Epoch: [45][9950/14090]	Time 0.894 (0.765)	Data 0.002 (0.001)	Loss 2.2179 (2.1945)	Prec@1 40.625 (44.667)	Prec@5 73.438 (75.306)
Epoch: [45][9960/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.5417 (2.1945)	Prec@1 43.750 (44.668)	Prec@5 68.750 (75.306)
Epoch: [45][9970/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.1840 (2.1945)	Prec@1 47.656 (44.668)	Prec@5 77.344 (75.305)
Epoch: [45][9980/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 1.9060 (2.1945)	Prec@1 44.531 (44.667)	Prec@5 82.031 (75.305)
Epoch: [45][9990/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.1561 (2.1946)	Prec@1 45.312 (44.667)	Prec@5 73.438 (75.303)
Epoch: [45][10000/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.4096 (2.1946)	Prec@1 39.844 (44.666)	Prec@5 70.312 (75.303)
Epoch: [45][10010/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.0128 (2.1947)	Prec@1 50.781 (44.665)	Prec@5 76.562 (75.302)
Epoch: [45][10020/14090]	Time 0.875 (0.765)	Data 0.001 (0.001)	Loss 2.0772 (2.1947)	Prec@1 47.656 (44.667)	Prec@5 75.781 (75.302)
Epoch: [45][10030/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.1016 (2.1947)	Prec@1 45.312 (44.668)	Prec@5 76.562 (75.301)
Epoch: [45][10040/14090]	Time 0.769 (0.765)	Data 0.001 (0.001)	Loss 2.4429 (2.1947)	Prec@1 30.469 (44.666)	Prec@5 71.094 (75.301)
Epoch: [45][10050/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.3157 (2.1947)	Prec@1 35.938 (44.663)	Prec@5 71.094 (75.298)
Epoch: [45][10060/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.3370 (2.1947)	Prec@1 39.844 (44.662)	Prec@5 78.906 (75.298)
Epoch: [45][10070/14090]	Time 0.770 (0.766)	Data 0.001 (0.001)	Loss 2.2878 (2.1947)	Prec@1 45.312 (44.665)	Prec@5 73.438 (75.299)
Epoch: [45][10080/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.0792 (2.1946)	Prec@1 45.312 (44.666)	Prec@5 75.781 (75.301)
Epoch: [45][10090/14090]	Time 0.994 (0.766)	Data 0.001 (0.001)	Loss 2.2136 (2.1946)	Prec@1 44.531 (44.665)	Prec@5 75.781 (75.299)
Epoch: [45][10100/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.0642 (2.1946)	Prec@1 44.531 (44.665)	Prec@5 73.438 (75.300)
Epoch: [45][10110/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.1021 (2.1945)	Prec@1 40.625 (44.668)	Prec@5 77.344 (75.301)
Epoch: [45][10120/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.0778 (2.1945)	Prec@1 48.438 (44.668)	Prec@5 78.125 (75.301)
Epoch: [45][10130/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 2.1674 (2.1944)	Prec@1 42.188 (44.671)	Prec@5 78.125 (75.302)
Epoch: [45][10140/14090]	Time 0.719 (0.766)	Data 0.001 (0.001)	Loss 2.1977 (2.1944)	Prec@1 42.188 (44.670)	Prec@5 79.688 (75.304)
Epoch: [45][10150/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.3799 (2.1944)	Prec@1 39.844 (44.670)	Prec@5 76.562 (75.303)
Epoch: [45][10160/14090]	Time 0.880 (0.765)	Data 0.001 (0.001)	Loss 2.1436 (2.1944)	Prec@1 53.125 (44.672)	Prec@5 77.344 (75.304)
Epoch: [45][10170/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.5378 (2.1944)	Prec@1 36.719 (44.669)	Prec@5 65.625 (75.303)
Epoch: [45][10180/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.0393 (2.1944)	Prec@1 50.781 (44.669)	Prec@5 74.219 (75.303)
Epoch: [45][10190/14090]	Time 0.765 (0.766)	Data 0.001 (0.001)	Loss 2.1399 (2.1945)	Prec@1 45.312 (44.664)	Prec@5 78.125 (75.302)
Epoch: [45][10200/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 2.2073 (2.1945)	Prec@1 49.219 (44.665)	Prec@5 72.656 (75.302)
Epoch: [45][10210/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 2.2242 (2.1946)	Prec@1 44.531 (44.665)	Prec@5 74.219 (75.301)
Epoch: [45][10220/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.4807 (2.1946)	Prec@1 39.844 (44.665)	Prec@5 67.188 (75.301)
Epoch: [45][10230/14090]	Time 0.898 (0.766)	Data 0.001 (0.001)	Loss 2.2086 (2.1945)	Prec@1 37.500 (44.665)	Prec@5 78.125 (75.302)
Epoch: [45][10240/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.1931 (2.1946)	Prec@1 48.438 (44.666)	Prec@5 75.781 (75.300)
Epoch: [45][10250/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.2638 (2.1946)	Prec@1 46.875 (44.664)	Prec@5 69.531 (75.298)
Epoch: [45][10260/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.1326 (2.1946)	Prec@1 43.750 (44.664)	Prec@5 78.125 (75.298)
Epoch: [45][10270/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.1919 (2.1947)	Prec@1 43.750 (44.664)	Prec@5 78.125 (75.297)
Epoch: [45][10280/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 1.9418 (2.1947)	Prec@1 49.219 (44.664)	Prec@5 77.344 (75.297)
Epoch: [45][10290/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.2987 (2.1947)	Prec@1 44.531 (44.665)	Prec@5 75.781 (75.297)
Epoch: [45][10300/14090]	Time 0.919 (0.765)	Data 0.001 (0.001)	Loss 2.0876 (2.1947)	Prec@1 41.406 (44.666)	Prec@5 75.000 (75.297)
Epoch: [45][10310/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.0311 (2.1946)	Prec@1 44.531 (44.668)	Prec@5 76.562 (75.299)
Epoch: [45][10320/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.1835 (2.1946)	Prec@1 50.000 (44.668)	Prec@5 77.344 (75.299)
Epoch: [45][10330/14090]	Time 0.777 (0.765)	Data 0.001 (0.001)	Loss 2.3025 (2.1947)	Prec@1 44.531 (44.668)	Prec@5 67.969 (75.299)
Epoch: [45][10340/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 2.2704 (2.1947)	Prec@1 41.406 (44.665)	Prec@5 74.219 (75.300)
Epoch: [45][10350/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 1.9914 (2.1946)	Prec@1 52.344 (44.668)	Prec@5 76.562 (75.301)
Epoch: [45][10360/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 2.0506 (2.1946)	Prec@1 54.688 (44.669)	Prec@5 78.125 (75.301)
Epoch: [45][10370/14090]	Time 0.853 (0.766)	Data 0.001 (0.001)	Loss 2.0871 (2.1945)	Prec@1 50.000 (44.669)	Prec@5 75.000 (75.303)
Epoch: [45][10380/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.2285 (2.1946)	Prec@1 40.625 (44.668)	Prec@5 76.562 (75.301)
Epoch: [45][10390/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.0975 (2.1947)	Prec@1 46.875 (44.665)	Prec@5 80.469 (75.298)
Epoch: [45][10400/14090]	Time 0.767 (0.766)	Data 0.001 (0.001)	Loss 2.0827 (2.1947)	Prec@1 42.188 (44.666)	Prec@5 80.469 (75.298)
Epoch: [45][10410/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.2173 (2.1948)	Prec@1 42.969 (44.665)	Prec@5 75.781 (75.298)
Epoch: [45][10420/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.1499 (2.1948)	Prec@1 44.531 (44.664)	Prec@5 73.438 (75.298)
Epoch: [45][10430/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.1384 (2.1947)	Prec@1 47.656 (44.664)	Prec@5 78.125 (75.299)
Epoch: [45][10440/14090]	Time 0.830 (0.766)	Data 0.001 (0.001)	Loss 2.1950 (2.1947)	Prec@1 45.312 (44.665)	Prec@5 77.344 (75.299)
Epoch: [45][10450/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.2801 (2.1948)	Prec@1 42.188 (44.664)	Prec@5 74.219 (75.296)
Epoch: [45][10460/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 2.4645 (2.1948)	Prec@1 41.406 (44.663)	Prec@5 69.531 (75.296)
Epoch: [45][10470/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.2445 (2.1948)	Prec@1 50.781 (44.664)	Prec@5 71.875 (75.296)
Epoch: [45][10480/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.6273 (2.1949)	Prec@1 35.938 (44.663)	Prec@5 65.625 (75.294)
Epoch: [45][10490/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.1193 (2.1949)	Prec@1 39.844 (44.662)	Prec@5 76.562 (75.295)
Epoch: [45][10500/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.1129 (2.1949)	Prec@1 45.312 (44.661)	Prec@5 75.781 (75.295)
Epoch: [45][10510/14090]	Time 0.865 (0.765)	Data 0.003 (0.001)	Loss 2.1358 (2.1949)	Prec@1 48.438 (44.662)	Prec@5 77.344 (75.295)
Epoch: [45][10520/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 1.8374 (2.1949)	Prec@1 52.344 (44.662)	Prec@5 86.719 (75.295)
Epoch: [45][10530/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.1151 (2.1949)	Prec@1 42.969 (44.662)	Prec@5 81.250 (75.296)
Epoch: [45][10540/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.3438 (2.1949)	Prec@1 45.312 (44.662)	Prec@5 71.875 (75.295)
Epoch: [45][10550/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.3654 (2.1949)	Prec@1 43.750 (44.664)	Prec@5 70.312 (75.295)
Epoch: [45][10560/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.1096 (2.1949)	Prec@1 48.438 (44.665)	Prec@5 78.906 (75.295)
Epoch: [45][10570/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 1.7833 (2.1948)	Prec@1 54.688 (44.666)	Prec@5 83.594 (75.297)
Epoch: [45][10580/14090]	Time 0.883 (0.765)	Data 0.001 (0.001)	Loss 2.2422 (2.1948)	Prec@1 42.188 (44.668)	Prec@5 75.781 (75.297)
Epoch: [45][10590/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.2772 (2.1948)	Prec@1 44.531 (44.670)	Prec@5 75.000 (75.297)
Epoch: [45][10600/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.2209 (2.1948)	Prec@1 42.188 (44.670)	Prec@5 73.438 (75.297)
Epoch: [45][10610/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.2839 (2.1948)	Prec@1 48.438 (44.672)	Prec@5 69.531 (75.297)
Epoch: [45][10620/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.0721 (2.1947)	Prec@1 45.312 (44.673)	Prec@5 78.125 (75.299)
Epoch: [45][10630/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 1.9645 (2.1946)	Prec@1 46.094 (44.674)	Prec@5 79.688 (75.300)
Epoch: [45][10640/14090]	Time 0.778 (0.765)	Data 0.001 (0.001)	Loss 2.2981 (2.1946)	Prec@1 42.188 (44.672)	Prec@5 73.438 (75.301)
Epoch: [45][10650/14090]	Time 0.884 (0.765)	Data 0.001 (0.001)	Loss 2.2141 (2.1946)	Prec@1 45.312 (44.673)	Prec@5 77.344 (75.302)
Epoch: [45][10660/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.2125 (2.1946)	Prec@1 42.188 (44.671)	Prec@5 77.344 (75.301)
Epoch: [45][10670/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.3389 (2.1946)	Prec@1 36.719 (44.673)	Prec@5 77.344 (75.301)
Epoch: [45][10680/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.0520 (2.1945)	Prec@1 45.312 (44.674)	Prec@5 76.562 (75.303)
Epoch: [45][10690/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.1700 (2.1945)	Prec@1 39.062 (44.672)	Prec@5 77.344 (75.303)
Epoch: [45][10700/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 1.9220 (2.1945)	Prec@1 50.000 (44.673)	Prec@5 79.688 (75.303)
Epoch: [45][10710/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.0591 (2.1945)	Prec@1 42.188 (44.672)	Prec@5 78.125 (75.302)
Epoch: [45][10720/14090]	Time 0.875 (0.765)	Data 0.001 (0.001)	Loss 2.4923 (2.1945)	Prec@1 41.406 (44.673)	Prec@5 65.625 (75.302)
Epoch: [45][10730/14090]	Time 0.774 (0.765)	Data 0.001 (0.001)	Loss 2.1441 (2.1946)	Prec@1 43.750 (44.670)	Prec@5 78.125 (75.302)
Epoch: [45][10740/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.1958 (2.1946)	Prec@1 46.094 (44.668)	Prec@5 75.781 (75.300)
Epoch: [45][10750/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.2256 (2.1946)	Prec@1 46.094 (44.670)	Prec@5 72.656 (75.300)
Epoch: [45][10760/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.4786 (2.1947)	Prec@1 39.062 (44.669)	Prec@5 68.750 (75.299)
Epoch: [45][10770/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 1.9397 (2.1946)	Prec@1 50.000 (44.668)	Prec@5 78.906 (75.301)
Epoch: [45][10780/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.0006 (2.1946)	Prec@1 46.094 (44.672)	Prec@5 79.688 (75.302)
Epoch: [45][10790/14090]	Time 0.873 (0.765)	Data 0.001 (0.001)	Loss 2.3764 (2.1947)	Prec@1 41.406 (44.670)	Prec@5 71.875 (75.301)
Epoch: [45][10800/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.3189 (2.1947)	Prec@1 36.719 (44.670)	Prec@5 71.094 (75.299)
Epoch: [45][10810/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.1306 (2.1948)	Prec@1 46.875 (44.668)	Prec@5 71.875 (75.298)
Epoch: [45][10820/14090]	Time 0.780 (0.765)	Data 0.001 (0.001)	Loss 2.2571 (2.1947)	Prec@1 42.188 (44.670)	Prec@5 75.781 (75.298)
Epoch: [45][10830/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 2.0088 (2.1947)	Prec@1 44.531 (44.670)	Prec@5 75.781 (75.298)
Epoch: [45][10840/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.0752 (2.1947)	Prec@1 47.656 (44.669)	Prec@5 76.562 (75.298)
Epoch: [45][10850/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.1736 (2.1946)	Prec@1 47.656 (44.671)	Prec@5 75.781 (75.299)
Epoch: [45][10860/14090]	Time 0.832 (0.765)	Data 0.001 (0.001)	Loss 2.0409 (2.1946)	Prec@1 46.094 (44.670)	Prec@5 79.688 (75.300)
Epoch: [45][10870/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.1508 (2.1946)	Prec@1 42.969 (44.669)	Prec@5 73.438 (75.299)
Epoch: [45][10880/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.0934 (2.1947)	Prec@1 46.875 (44.667)	Prec@5 71.094 (75.297)
Epoch: [45][10890/14090]	Time 0.773 (0.765)	Data 0.001 (0.001)	Loss 1.8997 (2.1947)	Prec@1 53.125 (44.667)	Prec@5 78.125 (75.296)
Epoch: [45][10900/14090]	Time 0.719 (0.765)	Data 0.001 (0.001)	Loss 2.3380 (2.1947)	Prec@1 46.875 (44.665)	Prec@5 75.781 (75.296)
Epoch: [45][10910/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 1.9614 (2.1947)	Prec@1 53.125 (44.666)	Prec@5 81.250 (75.297)
Epoch: [45][10920/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.2743 (2.1948)	Prec@1 39.844 (44.665)	Prec@5 75.000 (75.296)
Epoch: [45][10930/14090]	Time 0.867 (0.765)	Data 0.001 (0.001)	Loss 2.0506 (2.1948)	Prec@1 46.094 (44.666)	Prec@5 79.688 (75.295)
Epoch: [45][10940/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.1252 (2.1948)	Prec@1 46.875 (44.666)	Prec@5 73.438 (75.294)
Epoch: [45][10950/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.1475 (2.1948)	Prec@1 48.438 (44.666)	Prec@5 75.781 (75.292)
Epoch: [45][10960/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.4069 (2.1949)	Prec@1 41.406 (44.665)	Prec@5 71.094 (75.292)
Epoch: [45][10970/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.1627 (2.1948)	Prec@1 45.312 (44.666)	Prec@5 75.781 (75.292)
Epoch: [45][10980/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.0272 (2.1948)	Prec@1 46.875 (44.666)	Prec@5 79.688 (75.292)
Epoch: [45][10990/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.0940 (2.1948)	Prec@1 42.969 (44.667)	Prec@5 75.781 (75.292)
Epoch: [45][11000/14090]	Time 0.845 (0.765)	Data 0.001 (0.001)	Loss 2.0325 (2.1949)	Prec@1 39.844 (44.666)	Prec@5 79.688 (75.292)
Epoch: [45][11010/14090]	Time 0.720 (0.765)	Data 0.001 (0.001)	Loss 2.3073 (2.1949)	Prec@1 43.750 (44.667)	Prec@5 75.781 (75.292)
Epoch: [45][11020/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 2.2571 (2.1949)	Prec@1 44.531 (44.666)	Prec@5 73.438 (75.291)
Epoch: [45][11030/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.2886 (2.1949)	Prec@1 42.969 (44.667)	Prec@5 77.344 (75.292)
Epoch: [45][11040/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.2080 (2.1948)	Prec@1 46.875 (44.668)	Prec@5 76.562 (75.294)
Epoch: [45][11050/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.2343 (2.1948)	Prec@1 43.750 (44.668)	Prec@5 77.344 (75.295)
Epoch: [45][11060/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.2044 (2.1948)	Prec@1 46.094 (44.670)	Prec@5 75.781 (75.296)
Epoch: [45][11070/14090]	Time 0.900 (0.765)	Data 0.001 (0.001)	Loss 2.2649 (2.1948)	Prec@1 41.406 (44.669)	Prec@5 70.312 (75.296)
Epoch: [45][11080/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.1607 (2.1947)	Prec@1 42.188 (44.670)	Prec@5 79.688 (75.299)
Epoch: [45][11090/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.0513 (2.1946)	Prec@1 46.094 (44.671)	Prec@5 84.375 (75.301)
Epoch: [45][11100/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.2070 (2.1946)	Prec@1 46.094 (44.672)	Prec@5 73.438 (75.302)
Epoch: [45][11110/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 2.0166 (2.1946)	Prec@1 47.656 (44.670)	Prec@5 79.688 (75.300)
Epoch: [45][11120/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 2.2249 (2.1947)	Prec@1 45.312 (44.670)	Prec@5 74.219 (75.299)
Epoch: [45][11130/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.5950 (2.1947)	Prec@1 33.594 (44.669)	Prec@5 68.750 (75.299)
Epoch: [45][11140/14090]	Time 0.856 (0.765)	Data 0.001 (0.001)	Loss 2.4367 (2.1948)	Prec@1 35.938 (44.668)	Prec@5 72.656 (75.298)
Epoch: [45][11150/14090]	Time 0.721 (0.765)	Data 0.001 (0.001)	Loss 2.4454 (2.1948)	Prec@1 39.062 (44.668)	Prec@5 68.750 (75.297)
Epoch: [45][11160/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.1306 (2.1948)	Prec@1 43.750 (44.668)	Prec@5 76.562 (75.298)
Epoch: [45][11170/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 1.9552 (2.1947)	Prec@1 51.562 (44.670)	Prec@5 81.250 (75.300)
Epoch: [45][11180/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.1613 (2.1946)	Prec@1 48.438 (44.671)	Prec@5 77.344 (75.300)
Epoch: [45][11190/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.4302 (2.1947)	Prec@1 40.625 (44.670)	Prec@5 69.531 (75.297)
Epoch: [45][11200/14090]	Time 0.767 (0.765)	Data 0.001 (0.001)	Loss 2.1369 (2.1947)	Prec@1 46.875 (44.673)	Prec@5 76.562 (75.298)
Epoch: [45][11210/14090]	Time 0.850 (0.765)	Data 0.001 (0.001)	Loss 2.1202 (2.1947)	Prec@1 47.656 (44.671)	Prec@5 76.562 (75.298)
Epoch: [45][11220/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.4908 (2.1947)	Prec@1 35.156 (44.670)	Prec@5 70.312 (75.298)
Epoch: [45][11230/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.2723 (2.1947)	Prec@1 40.625 (44.669)	Prec@5 71.875 (75.296)
Epoch: [45][11240/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.0790 (2.1948)	Prec@1 42.969 (44.668)	Prec@5 80.469 (75.295)
Epoch: [45][11250/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.3555 (2.1947)	Prec@1 47.656 (44.669)	Prec@5 71.875 (75.296)
Epoch: [45][11260/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.1797 (2.1947)	Prec@1 47.656 (44.668)	Prec@5 80.469 (75.296)
Epoch: [45][11270/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.2498 (2.1947)	Prec@1 46.094 (44.671)	Prec@5 72.656 (75.295)
Epoch: [45][11280/14090]	Time 0.875 (0.765)	Data 0.001 (0.001)	Loss 1.7949 (2.1948)	Prec@1 54.688 (44.670)	Prec@5 79.688 (75.294)
Epoch: [45][11290/14090]	Time 0.772 (0.765)	Data 0.001 (0.001)	Loss 1.7968 (2.1947)	Prec@1 53.906 (44.672)	Prec@5 83.594 (75.296)
Epoch: [45][11300/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.4463 (2.1947)	Prec@1 33.594 (44.670)	Prec@5 73.438 (75.295)
Epoch: [45][11310/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.3307 (2.1947)	Prec@1 44.531 (44.670)	Prec@5 74.219 (75.295)
Epoch: [45][11320/14090]	Time 0.767 (0.765)	Data 0.001 (0.001)	Loss 2.2239 (2.1948)	Prec@1 43.750 (44.669)	Prec@5 71.875 (75.294)
Epoch: [45][11330/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.1107 (2.1948)	Prec@1 43.750 (44.667)	Prec@5 75.781 (75.292)
Epoch: [45][11340/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.2019 (2.1948)	Prec@1 43.750 (44.666)	Prec@5 78.125 (75.293)
Epoch: [45][11350/14090]	Time 0.920 (0.765)	Data 0.001 (0.001)	Loss 2.0832 (2.1949)	Prec@1 46.094 (44.665)	Prec@5 77.344 (75.292)
Epoch: [45][11360/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.4184 (2.1949)	Prec@1 41.406 (44.663)	Prec@5 71.094 (75.290)
Epoch: [45][11370/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.0112 (2.1950)	Prec@1 53.125 (44.663)	Prec@5 80.469 (75.291)
Epoch: [45][11380/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 1.9665 (2.1949)	Prec@1 49.219 (44.664)	Prec@5 79.688 (75.292)
Epoch: [45][11390/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 2.1146 (2.1950)	Prec@1 43.750 (44.662)	Prec@5 76.562 (75.291)
Epoch: [45][11400/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.0645 (2.1950)	Prec@1 45.312 (44.662)	Prec@5 78.125 (75.291)
Epoch: [45][11410/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 1.9572 (2.1949)	Prec@1 50.781 (44.663)	Prec@5 75.781 (75.291)
Epoch: [45][11420/14090]	Time 0.870 (0.765)	Data 0.001 (0.001)	Loss 2.3614 (2.1949)	Prec@1 43.750 (44.663)	Prec@5 75.000 (75.291)
Epoch: [45][11430/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 1.9832 (2.1949)	Prec@1 50.000 (44.666)	Prec@5 82.812 (75.293)
Epoch: [45][11440/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.2188 (2.1950)	Prec@1 44.531 (44.665)	Prec@5 75.000 (75.293)
Epoch: [45][11450/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.1982 (2.1950)	Prec@1 48.438 (44.666)	Prec@5 76.562 (75.294)
Epoch: [45][11460/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 1.9567 (2.1949)	Prec@1 46.875 (44.666)	Prec@5 83.594 (75.294)
Epoch: [45][11470/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.2898 (2.1949)	Prec@1 39.062 (44.664)	Prec@5 72.656 (75.295)
Epoch: [45][11480/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.1746 (2.1950)	Prec@1 47.656 (44.663)	Prec@5 71.875 (75.294)
Epoch: [45][11490/14090]	Time 0.853 (0.765)	Data 0.001 (0.001)	Loss 1.9532 (2.1950)	Prec@1 50.000 (44.663)	Prec@5 81.250 (75.294)
Epoch: [45][11500/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.0838 (2.1951)	Prec@1 50.000 (44.660)	Prec@5 79.688 (75.293)
Epoch: [45][11510/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.2528 (2.1950)	Prec@1 45.312 (44.661)	Prec@5 79.688 (75.294)
Epoch: [45][11520/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.4064 (2.1952)	Prec@1 43.750 (44.660)	Prec@5 71.094 (75.291)
Epoch: [45][11530/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.1570 (2.1952)	Prec@1 39.844 (44.660)	Prec@5 75.000 (75.291)
Epoch: [45][11540/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.1282 (2.1952)	Prec@1 48.438 (44.661)	Prec@5 74.219 (75.291)
Epoch: [45][11550/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.1957 (2.1951)	Prec@1 46.875 (44.663)	Prec@5 77.344 (75.292)
Epoch: [45][11560/14090]	Time 0.829 (0.765)	Data 0.001 (0.001)	Loss 2.0742 (2.1952)	Prec@1 48.438 (44.662)	Prec@5 78.125 (75.291)
Epoch: [45][11570/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 1.9966 (2.1951)	Prec@1 46.094 (44.664)	Prec@5 78.906 (75.292)
Epoch: [45][11580/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.2603 (2.1951)	Prec@1 43.750 (44.665)	Prec@5 74.219 (75.291)
Epoch: [45][11590/14090]	Time 0.786 (0.765)	Data 0.001 (0.001)	Loss 2.1917 (2.1952)	Prec@1 46.094 (44.665)	Prec@5 77.344 (75.291)
Epoch: [45][11600/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.2270 (2.1952)	Prec@1 46.094 (44.665)	Prec@5 73.438 (75.292)
Epoch: [45][11610/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.2416 (2.1952)	Prec@1 46.094 (44.665)	Prec@5 75.781 (75.291)
Epoch: [45][11620/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.1025 (2.1953)	Prec@1 47.656 (44.663)	Prec@5 73.438 (75.290)
Epoch: [45][11630/14090]	Time 0.843 (0.765)	Data 0.001 (0.001)	Loss 1.9526 (2.1953)	Prec@1 52.344 (44.662)	Prec@5 79.688 (75.290)
Epoch: [45][11640/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.3214 (2.1953)	Prec@1 36.719 (44.661)	Prec@5 71.094 (75.289)
Epoch: [45][11650/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 1.9721 (2.1953)	Prec@1 43.750 (44.661)	Prec@5 77.344 (75.288)
Epoch: [45][11660/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.1714 (2.1953)	Prec@1 45.312 (44.661)	Prec@5 75.781 (75.288)
Epoch: [45][11670/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.3310 (2.1953)	Prec@1 41.406 (44.661)	Prec@5 76.562 (75.288)
Epoch: [45][11680/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.3165 (2.1953)	Prec@1 49.219 (44.660)	Prec@5 70.312 (75.287)
Epoch: [45][11690/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.1790 (2.1953)	Prec@1 46.875 (44.660)	Prec@5 75.781 (75.286)
Epoch: [45][11700/14090]	Time 0.884 (0.765)	Data 0.001 (0.001)	Loss 2.1786 (2.1955)	Prec@1 46.875 (44.659)	Prec@5 74.219 (75.283)
Epoch: [45][11710/14090]	Time 0.768 (0.765)	Data 0.001 (0.001)	Loss 2.3007 (2.1955)	Prec@1 39.062 (44.657)	Prec@5 75.000 (75.283)
Epoch: [45][11720/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.1878 (2.1955)	Prec@1 40.625 (44.656)	Prec@5 77.344 (75.282)
Epoch: [45][11730/14090]	Time 0.771 (0.765)	Data 0.001 (0.001)	Loss 2.3269 (2.1956)	Prec@1 38.281 (44.654)	Prec@5 73.438 (75.281)
Epoch: [45][11740/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.4044 (2.1956)	Prec@1 40.625 (44.652)	Prec@5 70.312 (75.280)
Epoch: [45][11750/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.2689 (2.1956)	Prec@1 37.500 (44.653)	Prec@5 73.438 (75.281)
Epoch: [45][11760/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.1062 (2.1957)	Prec@1 44.531 (44.654)	Prec@5 74.219 (75.279)
Epoch: [45][11770/14090]	Time 0.975 (0.765)	Data 0.001 (0.001)	Loss 2.1246 (2.1957)	Prec@1 49.219 (44.654)	Prec@5 78.125 (75.279)
Epoch: [45][11780/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 2.2504 (2.1957)	Prec@1 39.844 (44.654)	Prec@5 72.656 (75.278)
Epoch: [45][11790/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.1326 (2.1957)	Prec@1 48.438 (44.656)	Prec@5 74.219 (75.279)
Epoch: [45][11800/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.0947 (2.1956)	Prec@1 41.406 (44.658)	Prec@5 76.562 (75.281)
Epoch: [45][11810/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 1.9834 (2.1955)	Prec@1 51.562 (44.658)	Prec@5 78.125 (75.280)
Epoch: [45][11820/14090]	Time 0.772 (0.765)	Data 0.001 (0.001)	Loss 2.2449 (2.1956)	Prec@1 39.844 (44.657)	Prec@5 75.781 (75.279)
Epoch: [45][11830/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.0649 (2.1956)	Prec@1 47.656 (44.656)	Prec@5 76.562 (75.280)
Epoch: [45][11840/14090]	Time 0.849 (0.765)	Data 0.001 (0.001)	Loss 2.2361 (2.1956)	Prec@1 45.312 (44.655)	Prec@5 78.125 (75.280)
Epoch: [45][11850/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.3008 (2.1956)	Prec@1 46.875 (44.655)	Prec@5 71.875 (75.280)
Epoch: [45][11860/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 1.9046 (2.1956)	Prec@1 53.906 (44.655)	Prec@5 81.250 (75.279)
Epoch: [45][11870/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 1.9214 (2.1956)	Prec@1 46.875 (44.655)	Prec@5 85.938 (75.280)
Epoch: [45][11880/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.0559 (2.1955)	Prec@1 44.531 (44.655)	Prec@5 78.125 (75.280)
Epoch: [45][11890/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.2769 (2.1955)	Prec@1 42.969 (44.655)	Prec@5 69.531 (75.280)
Epoch: [45][11900/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.0281 (2.1956)	Prec@1 46.875 (44.655)	Prec@5 77.344 (75.280)
Epoch: [45][11910/14090]	Time 0.872 (0.765)	Data 0.001 (0.001)	Loss 2.3454 (2.1956)	Prec@1 41.406 (44.655)	Prec@5 70.312 (75.279)
Epoch: [45][11920/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.1526 (2.1955)	Prec@1 42.969 (44.656)	Prec@5 75.000 (75.279)
Epoch: [45][11930/14090]	Time 0.779 (0.765)	Data 0.001 (0.001)	Loss 2.4882 (2.1955)	Prec@1 40.625 (44.655)	Prec@5 66.406 (75.279)
Epoch: [45][11940/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 1.9124 (2.1955)	Prec@1 52.344 (44.656)	Prec@5 82.812 (75.279)
Epoch: [45][11950/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.4173 (2.1955)	Prec@1 42.969 (44.656)	Prec@5 69.531 (75.278)
Epoch: [45][11960/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 1.8632 (2.1955)	Prec@1 46.875 (44.655)	Prec@5 83.594 (75.278)
Epoch: [45][11970/14090]	Time 0.774 (0.765)	Data 0.001 (0.001)	Loss 2.1654 (2.1956)	Prec@1 50.000 (44.655)	Prec@5 77.344 (75.277)
Epoch: [45][11980/14090]	Time 0.875 (0.765)	Data 0.001 (0.001)	Loss 2.1925 (2.1956)	Prec@1 41.406 (44.655)	Prec@5 75.000 (75.277)
Epoch: [45][11990/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 1.9144 (2.1956)	Prec@1 45.312 (44.654)	Prec@5 81.250 (75.277)
Epoch: [45][12000/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.3502 (2.1956)	Prec@1 40.625 (44.654)	Prec@5 72.656 (75.276)
Epoch: [45][12010/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.0764 (2.1956)	Prec@1 46.094 (44.653)	Prec@5 81.250 (75.277)
Epoch: [45][12020/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.2437 (2.1956)	Prec@1 46.875 (44.653)	Prec@5 72.656 (75.276)
Epoch: [45][12030/14090]	Time 0.769 (0.765)	Data 0.001 (0.001)	Loss 2.3599 (2.1958)	Prec@1 44.531 (44.652)	Prec@5 70.312 (75.274)
Epoch: [45][12040/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.1724 (2.1958)	Prec@1 42.969 (44.651)	Prec@5 72.656 (75.274)
Epoch: [45][12050/14090]	Time 0.847 (0.765)	Data 0.001 (0.001)	Loss 2.3053 (2.1958)	Prec@1 46.094 (44.649)	Prec@5 75.000 (75.274)
Epoch: [45][12060/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.1821 (2.1958)	Prec@1 53.906 (44.650)	Prec@5 74.219 (75.273)
Epoch: [45][12070/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.3045 (2.1958)	Prec@1 45.312 (44.652)	Prec@5 71.094 (75.274)
Epoch: [45][12080/14090]	Time 0.783 (0.765)	Data 0.001 (0.001)	Loss 2.1454 (2.1958)	Prec@1 47.656 (44.649)	Prec@5 75.781 (75.273)
Epoch: [45][12090/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.1922 (2.1958)	Prec@1 46.094 (44.649)	Prec@5 75.781 (75.273)
Epoch: [45][12100/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.1981 (2.1959)	Prec@1 43.750 (44.649)	Prec@5 74.219 (75.272)
Epoch: [45][12110/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.3743 (2.1959)	Prec@1 44.531 (44.649)	Prec@5 66.406 (75.270)
Epoch: [45][12120/14090]	Time 0.872 (0.765)	Data 0.001 (0.001)	Loss 1.8114 (2.1959)	Prec@1 51.562 (44.648)	Prec@5 84.375 (75.270)
Epoch: [45][12130/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.3298 (2.1959)	Prec@1 38.281 (44.649)	Prec@5 73.438 (75.271)
Epoch: [45][12140/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.1118 (2.1959)	Prec@1 49.219 (44.649)	Prec@5 74.219 (75.270)
Epoch: [45][12150/14090]	Time 0.785 (0.765)	Data 0.001 (0.001)	Loss 2.0941 (2.1958)	Prec@1 52.344 (44.652)	Prec@5 78.125 (75.271)
Epoch: [45][12160/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 2.3878 (2.1959)	Prec@1 37.500 (44.650)	Prec@5 72.656 (75.271)
Epoch: [45][12170/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.4292 (2.1959)	Prec@1 41.406 (44.650)	Prec@5 67.969 (75.271)
Epoch: [45][12180/14090]	Time 0.767 (0.765)	Data 0.001 (0.001)	Loss 2.1633 (2.1959)	Prec@1 51.562 (44.649)	Prec@5 75.000 (75.270)
Epoch: [45][12190/14090]	Time 0.890 (0.765)	Data 0.001 (0.001)	Loss 2.0961 (2.1959)	Prec@1 47.656 (44.650)	Prec@5 78.906 (75.270)
Epoch: [45][12200/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.1606 (2.1959)	Prec@1 42.188 (44.650)	Prec@5 78.125 (75.271)
Epoch: [45][12210/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.0391 (2.1959)	Prec@1 45.312 (44.650)	Prec@5 79.688 (75.272)
Epoch: [45][12220/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.1612 (2.1960)	Prec@1 41.406 (44.649)	Prec@5 74.219 (75.270)
Epoch: [45][12230/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.0673 (2.1960)	Prec@1 45.312 (44.647)	Prec@5 77.344 (75.267)
Epoch: [45][12240/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.1072 (2.1960)	Prec@1 50.000 (44.648)	Prec@5 73.438 (75.266)
Epoch: [45][12250/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.1797 (2.1960)	Prec@1 42.969 (44.649)	Prec@5 74.219 (75.266)
Epoch: [45][12260/14090]	Time 0.850 (0.765)	Data 0.001 (0.001)	Loss 2.1531 (2.1960)	Prec@1 37.500 (44.648)	Prec@5 79.688 (75.266)
Epoch: [45][12270/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.1331 (2.1960)	Prec@1 50.000 (44.650)	Prec@5 73.438 (75.267)
Epoch: [45][12280/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.3877 (2.1961)	Prec@1 42.969 (44.647)	Prec@5 71.094 (75.266)
Epoch: [45][12290/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.4114 (2.1961)	Prec@1 41.406 (44.646)	Prec@5 71.875 (75.265)
Epoch: [45][12300/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.2817 (2.1960)	Prec@1 36.719 (44.646)	Prec@5 81.250 (75.266)
Epoch: [45][12310/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.2732 (2.1961)	Prec@1 39.062 (44.644)	Prec@5 77.344 (75.267)
Epoch: [45][12320/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 2.4819 (2.1961)	Prec@1 36.719 (44.643)	Prec@5 70.312 (75.266)
Epoch: [45][12330/14090]	Time 0.844 (0.765)	Data 0.001 (0.001)	Loss 2.0821 (2.1961)	Prec@1 50.781 (44.644)	Prec@5 75.781 (75.268)
Epoch: [45][12340/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.1748 (2.1961)	Prec@1 43.750 (44.642)	Prec@5 73.438 (75.268)
Epoch: [45][12350/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 1.9674 (2.1960)	Prec@1 50.000 (44.642)	Prec@5 82.031 (75.269)
Epoch: [45][12360/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 2.1328 (2.1960)	Prec@1 44.531 (44.642)	Prec@5 76.562 (75.271)
Epoch: [45][12370/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.1122 (2.1960)	Prec@1 42.969 (44.641)	Prec@5 78.125 (75.271)
Epoch: [45][12380/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.2786 (2.1960)	Prec@1 44.531 (44.642)	Prec@5 74.219 (75.271)
Epoch: [45][12390/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.4546 (2.1960)	Prec@1 35.156 (44.642)	Prec@5 68.750 (75.270)
Epoch: [45][12400/14090]	Time 0.842 (0.765)	Data 0.001 (0.001)	Loss 2.0103 (2.1959)	Prec@1 55.469 (44.644)	Prec@5 77.344 (75.270)
Epoch: [45][12410/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.0660 (2.1960)	Prec@1 46.094 (44.641)	Prec@5 76.562 (75.270)
Epoch: [45][12420/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.3964 (2.1959)	Prec@1 40.625 (44.643)	Prec@5 72.656 (75.272)
Epoch: [45][12430/14090]	Time 0.802 (0.765)	Data 0.001 (0.001)	Loss 2.3715 (2.1960)	Prec@1 37.500 (44.639)	Prec@5 71.875 (75.271)
Epoch: [45][12440/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.2583 (2.1960)	Prec@1 45.312 (44.640)	Prec@5 71.875 (75.271)
Epoch: [45][12450/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.2244 (2.1960)	Prec@1 43.750 (44.639)	Prec@5 75.000 (75.271)
Epoch: [45][12460/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.0654 (2.1960)	Prec@1 46.875 (44.641)	Prec@5 80.469 (75.271)
Epoch: [45][12470/14090]	Time 0.884 (0.765)	Data 0.001 (0.001)	Loss 2.4946 (2.1960)	Prec@1 36.719 (44.641)	Prec@5 67.969 (75.271)
Epoch: [45][12480/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.6129 (2.1960)	Prec@1 40.625 (44.640)	Prec@5 67.188 (75.271)
Epoch: [45][12490/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 2.4717 (2.1961)	Prec@1 42.188 (44.638)	Prec@5 68.750 (75.270)
Epoch: [45][12500/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.2779 (2.1961)	Prec@1 46.875 (44.637)	Prec@5 71.094 (75.269)
Epoch: [45][12510/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.1558 (2.1960)	Prec@1 45.312 (44.638)	Prec@5 75.000 (75.271)
Epoch: [45][12520/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 2.3079 (2.1961)	Prec@1 42.969 (44.637)	Prec@5 71.094 (75.271)
Epoch: [45][12530/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.1383 (2.1961)	Prec@1 49.219 (44.638)	Prec@5 74.219 (75.269)
Epoch: [45][12540/14090]	Time 0.832 (0.765)	Data 0.001 (0.001)	Loss 2.2294 (2.1961)	Prec@1 42.969 (44.637)	Prec@5 75.781 (75.269)
Epoch: [45][12550/14090]	Time 0.722 (0.765)	Data 0.001 (0.001)	Loss 2.0229 (2.1961)	Prec@1 46.094 (44.636)	Prec@5 75.781 (75.270)
Epoch: [45][12560/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.0775 (2.1961)	Prec@1 42.969 (44.636)	Prec@5 76.562 (75.270)
Epoch: [45][12570/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.3466 (2.1961)	Prec@1 41.406 (44.635)	Prec@5 73.438 (75.269)
Epoch: [45][12580/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.5375 (2.1962)	Prec@1 42.188 (44.634)	Prec@5 70.312 (75.267)
Epoch: [45][12590/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 1.9804 (2.1962)	Prec@1 48.438 (44.635)	Prec@5 77.344 (75.268)
Epoch: [45][12600/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.1023 (2.1961)	Prec@1 45.312 (44.635)	Prec@5 78.125 (75.269)
Epoch: [45][12610/14090]	Time 0.863 (0.765)	Data 0.001 (0.001)	Loss 2.2972 (2.1962)	Prec@1 44.531 (44.636)	Prec@5 72.656 (75.268)
Epoch: [45][12620/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.2076 (2.1962)	Prec@1 46.094 (44.635)	Prec@5 75.000 (75.268)
Epoch: [45][12630/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 1.9533 (2.1962)	Prec@1 50.781 (44.635)	Prec@5 78.906 (75.269)
Epoch: [45][12640/14090]	Time 0.778 (0.765)	Data 0.001 (0.001)	Loss 2.1869 (2.1962)	Prec@1 47.656 (44.636)	Prec@5 72.656 (75.267)
Epoch: [45][12650/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.0322 (2.1961)	Prec@1 48.438 (44.638)	Prec@5 78.906 (75.269)
Epoch: [45][12660/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.5060 (2.1961)	Prec@1 39.062 (44.638)	Prec@5 68.750 (75.269)
Epoch: [45][12670/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.5151 (2.1962)	Prec@1 42.188 (44.638)	Prec@5 69.531 (75.268)
Epoch: [45][12680/14090]	Time 0.888 (0.765)	Data 0.001 (0.001)	Loss 2.1471 (2.1962)	Prec@1 48.438 (44.638)	Prec@5 77.344 (75.267)
Epoch: [45][12690/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.0905 (2.1962)	Prec@1 42.188 (44.637)	Prec@5 77.344 (75.267)
Epoch: [45][12700/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 1.9177 (2.1962)	Prec@1 47.656 (44.637)	Prec@5 78.125 (75.268)
Epoch: [45][12710/14090]	Time 0.743 (0.765)	Data 0.004 (0.001)	Loss 2.0548 (2.1962)	Prec@1 51.562 (44.638)	Prec@5 77.344 (75.268)
Epoch: [45][12720/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.2689 (2.1962)	Prec@1 44.531 (44.638)	Prec@5 73.438 (75.268)
Epoch: [45][12730/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.2969 (2.1962)	Prec@1 45.312 (44.636)	Prec@5 71.094 (75.267)
Epoch: [45][12740/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.2885 (2.1963)	Prec@1 42.969 (44.634)	Prec@5 69.531 (75.267)
Epoch: [45][12750/14090]	Time 0.890 (0.765)	Data 0.004 (0.001)	Loss 2.1628 (2.1963)	Prec@1 42.188 (44.635)	Prec@5 77.344 (75.266)
Epoch: [45][12760/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.3985 (2.1963)	Prec@1 39.062 (44.634)	Prec@5 76.562 (75.266)
Epoch: [45][12770/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.0807 (2.1963)	Prec@1 46.094 (44.635)	Prec@5 75.781 (75.266)
Epoch: [45][12780/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 1.9803 (2.1963)	Prec@1 44.531 (44.635)	Prec@5 82.031 (75.266)
Epoch: [45][12790/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.0786 (2.1963)	Prec@1 43.750 (44.635)	Prec@5 77.344 (75.265)
Epoch: [45][12800/14090]	Time 0.772 (0.765)	Data 0.001 (0.001)	Loss 2.2470 (2.1963)	Prec@1 46.094 (44.635)	Prec@5 75.000 (75.265)
Epoch: [45][12810/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.2506 (2.1964)	Prec@1 46.094 (44.633)	Prec@5 75.781 (75.264)
Epoch: [45][12820/14090]	Time 0.858 (0.765)	Data 0.001 (0.001)	Loss 2.2164 (2.1965)	Prec@1 42.969 (44.632)	Prec@5 73.438 (75.263)
Epoch: [45][12830/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.0518 (2.1965)	Prec@1 46.875 (44.633)	Prec@5 78.906 (75.264)
Epoch: [45][12840/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.0001 (2.1964)	Prec@1 42.188 (44.632)	Prec@5 78.125 (75.263)
Epoch: [45][12850/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.2982 (2.1965)	Prec@1 46.875 (44.632)	Prec@5 74.219 (75.262)
Epoch: [45][12860/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.3372 (2.1965)	Prec@1 45.312 (44.633)	Prec@5 71.094 (75.263)
Epoch: [45][12870/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.0007 (2.1965)	Prec@1 50.781 (44.633)	Prec@5 79.688 (75.263)
Epoch: [45][12880/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.1634 (2.1965)	Prec@1 42.188 (44.632)	Prec@5 75.000 (75.262)
Epoch: [45][12890/14090]	Time 0.824 (0.765)	Data 0.001 (0.001)	Loss 2.1607 (2.1964)	Prec@1 46.094 (44.633)	Prec@5 74.219 (75.263)
Epoch: [45][12900/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 1.9767 (2.1965)	Prec@1 46.875 (44.632)	Prec@5 78.125 (75.263)
Epoch: [45][12910/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.1619 (2.1965)	Prec@1 41.406 (44.631)	Prec@5 73.438 (75.263)
Epoch: [45][12920/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.4503 (2.1965)	Prec@1 38.281 (44.629)	Prec@5 71.875 (75.263)
Epoch: [45][12930/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 1.9073 (2.1967)	Prec@1 48.438 (44.627)	Prec@5 78.906 (75.261)
Epoch: [45][12940/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 1.8360 (2.1966)	Prec@1 49.219 (44.628)	Prec@5 80.469 (75.262)
Epoch: [45][12950/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 1.9674 (2.1966)	Prec@1 50.000 (44.629)	Prec@5 81.250 (75.263)
Epoch: [45][12960/14090]	Time 0.845 (0.765)	Data 0.001 (0.001)	Loss 2.3804 (2.1966)	Prec@1 39.844 (44.628)	Prec@5 70.312 (75.264)
Epoch: [45][12970/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.0826 (2.1966)	Prec@1 49.219 (44.628)	Prec@5 75.000 (75.264)
Epoch: [45][12980/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.1214 (2.1967)	Prec@1 43.750 (44.626)	Prec@5 76.562 (75.262)
Epoch: [45][12990/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.2176 (2.1967)	Prec@1 48.438 (44.625)	Prec@5 73.438 (75.261)
Epoch: [45][13000/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 2.1518 (2.1967)	Prec@1 44.531 (44.626)	Prec@5 82.031 (75.261)
Epoch: [45][13010/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.2231 (2.1967)	Prec@1 47.656 (44.628)	Prec@5 73.438 (75.261)
Epoch: [45][13020/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.4387 (2.1967)	Prec@1 40.625 (44.628)	Prec@5 75.000 (75.262)
Epoch: [45][13030/14090]	Time 0.909 (0.765)	Data 0.004 (0.001)	Loss 2.2108 (2.1966)	Prec@1 36.719 (44.628)	Prec@5 80.469 (75.263)
Epoch: [45][13040/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.1194 (2.1967)	Prec@1 44.531 (44.627)	Prec@5 79.688 (75.263)
Epoch: [45][13050/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.3522 (2.1967)	Prec@1 39.844 (44.625)	Prec@5 64.062 (75.261)
Epoch: [45][13060/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.3895 (2.1967)	Prec@1 38.281 (44.626)	Prec@5 72.656 (75.261)
Epoch: [45][13070/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.1124 (2.1967)	Prec@1 51.562 (44.627)	Prec@5 74.219 (75.261)
Epoch: [45][13080/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.1916 (2.1967)	Prec@1 50.781 (44.629)	Prec@5 73.438 (75.262)
Epoch: [45][13090/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.2330 (2.1966)	Prec@1 42.969 (44.630)	Prec@5 75.781 (75.263)
Epoch: [45][13100/14090]	Time 0.847 (0.765)	Data 0.001 (0.001)	Loss 1.8127 (2.1966)	Prec@1 49.219 (44.632)	Prec@5 76.562 (75.264)
Epoch: [45][13110/14090]	Time 0.722 (0.765)	Data 0.001 (0.001)	Loss 2.2038 (2.1965)	Prec@1 46.875 (44.632)	Prec@5 73.438 (75.265)
Epoch: [45][13120/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.3213 (2.1966)	Prec@1 40.625 (44.631)	Prec@5 74.219 (75.264)
Epoch: [45][13130/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.1965 (2.1966)	Prec@1 44.531 (44.632)	Prec@5 70.312 (75.264)
Epoch: [45][13140/14090]	Time 0.773 (0.765)	Data 0.001 (0.001)	Loss 2.2339 (2.1966)	Prec@1 44.531 (44.630)	Prec@5 74.219 (75.263)
Epoch: [45][13150/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.2795 (2.1967)	Prec@1 46.875 (44.631)	Prec@5 70.312 (75.262)
Epoch: [45][13160/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 2.1634 (2.1966)	Prec@1 41.406 (44.632)	Prec@5 74.219 (75.262)
Epoch: [45][13170/14090]	Time 0.854 (0.765)	Data 0.001 (0.001)	Loss 2.1139 (2.1967)	Prec@1 48.438 (44.631)	Prec@5 77.344 (75.261)
Epoch: [45][13180/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.1988 (2.1966)	Prec@1 46.094 (44.631)	Prec@5 72.656 (75.262)
Epoch: [45][13190/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.3087 (2.1966)	Prec@1 42.188 (44.631)	Prec@5 72.656 (75.262)
Epoch: [45][13200/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.2497 (2.1967)	Prec@1 41.406 (44.629)	Prec@5 75.781 (75.260)
Epoch: [45][13210/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 1.9860 (2.1967)	Prec@1 49.219 (44.629)	Prec@5 78.906 (75.260)
Epoch: [45][13220/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.0749 (2.1968)	Prec@1 46.875 (44.628)	Prec@5 79.688 (75.259)
Epoch: [45][13230/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.1201 (2.1967)	Prec@1 46.875 (44.630)	Prec@5 77.344 (75.262)
Epoch: [45][13240/14090]	Time 0.859 (0.765)	Data 0.001 (0.001)	Loss 2.1191 (2.1966)	Prec@1 46.094 (44.633)	Prec@5 75.000 (75.263)
Epoch: [45][13250/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 2.4735 (2.1966)	Prec@1 36.719 (44.633)	Prec@5 75.000 (75.264)
Epoch: [45][13260/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.0564 (2.1966)	Prec@1 47.656 (44.634)	Prec@5 76.562 (75.264)
Epoch: [45][13270/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.0148 (2.1966)	Prec@1 42.188 (44.633)	Prec@5 81.250 (75.263)
Epoch: [45][13280/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.4239 (2.1966)	Prec@1 39.062 (44.633)	Prec@5 71.094 (75.262)
Epoch: [45][13290/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.2208 (2.1966)	Prec@1 38.281 (44.632)	Prec@5 78.125 (75.263)
Epoch: [45][13300/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 2.4333 (2.1967)	Prec@1 35.156 (44.633)	Prec@5 70.312 (75.262)
Epoch: [45][13310/14090]	Time 0.855 (0.765)	Data 0.001 (0.001)	Loss 2.0480 (2.1967)	Prec@1 44.531 (44.631)	Prec@5 77.344 (75.262)
Epoch: [45][13320/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.2469 (2.1967)	Prec@1 44.531 (44.631)	Prec@5 73.438 (75.261)
Epoch: [45][13330/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.2422 (2.1967)	Prec@1 42.969 (44.630)	Prec@5 78.125 (75.261)
Epoch: [45][13340/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.3347 (2.1968)	Prec@1 38.281 (44.629)	Prec@5 75.781 (75.261)
Epoch: [45][13350/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.2001 (2.1968)	Prec@1 40.625 (44.629)	Prec@5 75.000 (75.261)
Epoch: [45][13360/14090]	Time 0.722 (0.765)	Data 0.001 (0.001)	Loss 2.2034 (2.1968)	Prec@1 45.312 (44.628)	Prec@5 77.344 (75.261)
Epoch: [45][13370/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.0655 (2.1969)	Prec@1 46.094 (44.626)	Prec@5 77.344 (75.260)
Epoch: [45][13380/14090]	Time 0.896 (0.765)	Data 0.001 (0.001)	Loss 2.2578 (2.1969)	Prec@1 42.188 (44.625)	Prec@5 76.562 (75.260)
Epoch: [45][13390/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.2474 (2.1968)	Prec@1 49.219 (44.625)	Prec@5 75.000 (75.260)
Epoch: [45][13400/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.2005 (2.1968)	Prec@1 40.625 (44.624)	Prec@5 75.000 (75.261)
Epoch: [45][13410/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.4625 (2.1968)	Prec@1 39.844 (44.624)	Prec@5 73.438 (75.261)
Epoch: [45][13420/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.3638 (2.1968)	Prec@1 38.281 (44.624)	Prec@5 75.781 (75.263)
Epoch: [45][13430/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.3580 (2.1969)	Prec@1 43.750 (44.623)	Prec@5 67.969 (75.263)
Epoch: [45][13440/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 2.0424 (2.1968)	Prec@1 40.625 (44.623)	Prec@5 82.031 (75.264)
Epoch: [45][13450/14090]	Time 0.837 (0.765)	Data 0.001 (0.001)	Loss 2.0742 (2.1968)	Prec@1 51.562 (44.623)	Prec@5 80.469 (75.264)
Epoch: [45][13460/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.2141 (2.1968)	Prec@1 50.781 (44.623)	Prec@5 76.562 (75.264)
Epoch: [45][13470/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.1800 (2.1968)	Prec@1 45.312 (44.622)	Prec@5 80.469 (75.264)
Epoch: [45][13480/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.1090 (2.1968)	Prec@1 44.531 (44.623)	Prec@5 79.688 (75.264)
Epoch: [45][13490/14090]	Time 0.773 (0.765)	Data 0.001 (0.001)	Loss 2.0519 (2.1968)	Prec@1 42.969 (44.623)	Prec@5 78.125 (75.265)
Epoch: [45][13500/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.3367 (2.1968)	Prec@1 35.156 (44.623)	Prec@5 73.438 (75.264)
Epoch: [45][13510/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.3464 (2.1968)	Prec@1 39.844 (44.622)	Prec@5 71.094 (75.264)
Epoch: [45][13520/14090]	Time 0.824 (0.765)	Data 0.001 (0.001)	Loss 2.1410 (2.1969)	Prec@1 53.125 (44.623)	Prec@5 75.000 (75.264)
Epoch: [45][13530/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.2067 (2.1969)	Prec@1 39.062 (44.621)	Prec@5 75.781 (75.263)
Epoch: [45][13540/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.0735 (2.1969)	Prec@1 46.875 (44.622)	Prec@5 75.781 (75.263)
Epoch: [45][13550/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.1099 (2.1969)	Prec@1 46.875 (44.624)	Prec@5 74.219 (75.264)
Epoch: [45][13560/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.1495 (2.1969)	Prec@1 47.656 (44.624)	Prec@5 71.094 (75.264)
Epoch: [45][13570/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.4266 (2.1969)	Prec@1 38.281 (44.625)	Prec@5 70.312 (75.263)
Epoch: [45][13580/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.2869 (2.1969)	Prec@1 44.531 (44.626)	Prec@5 71.875 (75.264)
Epoch: [45][13590/14090]	Time 0.887 (0.765)	Data 0.003 (0.001)	Loss 2.1455 (2.1969)	Prec@1 45.312 (44.626)	Prec@5 72.656 (75.263)
Epoch: [45][13600/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.1349 (2.1969)	Prec@1 45.312 (44.626)	Prec@5 79.688 (75.262)
Epoch: [45][13610/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.0660 (2.1969)	Prec@1 44.531 (44.626)	Prec@5 75.781 (75.262)
Epoch: [45][13620/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.3710 (2.1969)	Prec@1 39.062 (44.626)	Prec@5 72.656 (75.263)
Epoch: [45][13630/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.2151 (2.1969)	Prec@1 41.406 (44.624)	Prec@5 74.219 (75.262)
Epoch: [45][13640/14090]	Time 0.722 (0.765)	Data 0.001 (0.001)	Loss 2.3668 (2.1969)	Prec@1 46.094 (44.624)	Prec@5 71.094 (75.261)
Epoch: [45][13650/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.3882 (2.1969)	Prec@1 43.750 (44.624)	Prec@5 72.656 (75.262)
Epoch: [45][13660/14090]	Time 0.806 (0.765)	Data 0.001 (0.001)	Loss 1.9970 (2.1968)	Prec@1 50.781 (44.626)	Prec@5 79.688 (75.263)
Epoch: [45][13670/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.2411 (2.1969)	Prec@1 47.656 (44.626)	Prec@5 75.781 (75.262)
Epoch: [45][13680/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.3932 (2.1969)	Prec@1 40.625 (44.625)	Prec@5 67.188 (75.261)
Epoch: [45][13690/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.3700 (2.1970)	Prec@1 42.969 (44.623)	Prec@5 70.312 (75.261)
Epoch: [45][13700/14090]	Time 0.775 (0.765)	Data 0.001 (0.001)	Loss 2.1438 (2.1970)	Prec@1 37.500 (44.624)	Prec@5 79.688 (75.261)
Epoch: [45][13710/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.6193 (2.1970)	Prec@1 37.500 (44.623)	Prec@5 71.094 (75.261)
Epoch: [45][13720/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.3039 (2.1970)	Prec@1 42.188 (44.623)	Prec@5 75.781 (75.260)
Epoch: [45][13730/14090]	Time 0.831 (0.765)	Data 0.001 (0.001)	Loss 2.2978 (2.1971)	Prec@1 45.312 (44.623)	Prec@5 72.656 (75.259)
Epoch: [45][13740/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.3454 (2.1971)	Prec@1 38.281 (44.622)	Prec@5 71.094 (75.260)
Epoch: [45][13750/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.3540 (2.1971)	Prec@1 45.312 (44.623)	Prec@5 72.656 (75.259)
Epoch: [45][13760/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 1.8872 (2.1971)	Prec@1 53.906 (44.625)	Prec@5 78.125 (75.260)
Epoch: [45][13770/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 1.9547 (2.1971)	Prec@1 48.438 (44.623)	Prec@5 78.125 (75.258)
Epoch: [45][13780/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.4089 (2.1971)	Prec@1 35.938 (44.622)	Prec@5 70.312 (75.258)
Epoch: [45][13790/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.4279 (2.1971)	Prec@1 42.969 (44.622)	Prec@5 71.875 (75.258)
Epoch: [45][13800/14090]	Time 0.840 (0.765)	Data 0.001 (0.001)	Loss 2.1608 (2.1971)	Prec@1 43.750 (44.623)	Prec@5 78.906 (75.259)
Epoch: [45][13810/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 2.3845 (2.1972)	Prec@1 39.844 (44.622)	Prec@5 65.625 (75.257)
Epoch: [45][13820/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.2224 (2.1972)	Prec@1 43.750 (44.621)	Prec@5 77.344 (75.257)
Epoch: [45][13830/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.1622 (2.1972)	Prec@1 46.875 (44.622)	Prec@5 74.219 (75.258)
Epoch: [45][13840/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.2337 (2.1972)	Prec@1 42.188 (44.622)	Prec@5 74.219 (75.257)
Epoch: [45][13850/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.3048 (2.1972)	Prec@1 39.844 (44.622)	Prec@5 74.219 (75.257)
Epoch: [45][13860/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.2518 (2.1972)	Prec@1 42.969 (44.621)	Prec@5 75.000 (75.257)
Epoch: [45][13870/14090]	Time 0.996 (0.765)	Data 0.001 (0.001)	Loss 2.2623 (2.1972)	Prec@1 45.312 (44.621)	Prec@5 75.000 (75.257)
Epoch: [45][13880/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.1460 (2.1972)	Prec@1 42.969 (44.619)	Prec@5 74.219 (75.257)
Epoch: [45][13890/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.1224 (2.1973)	Prec@1 42.969 (44.619)	Prec@5 78.906 (75.257)
Epoch: [45][13900/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.1833 (2.1973)	Prec@1 42.969 (44.619)	Prec@5 74.219 (75.257)
Epoch: [45][13910/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.4371 (2.1973)	Prec@1 43.750 (44.618)	Prec@5 69.531 (75.256)
Epoch: [45][13920/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.4384 (2.1973)	Prec@1 40.625 (44.618)	Prec@5 69.531 (75.256)
Epoch: [45][13930/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.0748 (2.1973)	Prec@1 51.562 (44.619)	Prec@5 78.906 (75.257)
Epoch: [45][13940/14090]	Time 0.867 (0.765)	Data 0.001 (0.001)	Loss 2.2784 (2.1973)	Prec@1 49.219 (44.618)	Prec@5 75.000 (75.257)
Epoch: [45][13950/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.0931 (2.1973)	Prec@1 50.000 (44.619)	Prec@5 78.906 (75.258)
Epoch: [45][13960/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.0622 (2.1972)	Prec@1 46.094 (44.620)	Prec@5 78.125 (75.259)
Epoch: [45][13970/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.0002 (2.1973)	Prec@1 48.438 (44.620)	Prec@5 77.344 (75.258)
Epoch: [45][13980/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.2610 (2.1973)	Prec@1 42.188 (44.620)	Prec@5 75.000 (75.258)
Epoch: [45][13990/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.5663 (2.1973)	Prec@1 38.281 (44.620)	Prec@5 63.281 (75.257)
Epoch: [45][14000/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 2.2411 (2.1973)	Prec@1 48.438 (44.619)	Prec@5 74.219 (75.257)
Epoch: [45][14010/14090]	Time 0.863 (0.765)	Data 0.001 (0.001)	Loss 2.3017 (2.1973)	Prec@1 39.062 (44.619)	Prec@5 72.656 (75.257)
Epoch: [45][14020/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 2.2448 (2.1972)	Prec@1 46.094 (44.620)	Prec@5 76.562 (75.258)
Epoch: [45][14030/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.2141 (2.1973)	Prec@1 45.312 (44.619)	Prec@5 74.219 (75.259)
Epoch: [45][14040/14090]	Time 0.788 (0.765)	Data 0.001 (0.001)	Loss 2.3887 (2.1972)	Prec@1 38.281 (44.619)	Prec@5 71.875 (75.258)
Epoch: [45][14050/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.0233 (2.1972)	Prec@1 45.312 (44.619)	Prec@5 81.250 (75.258)
Epoch: [45][14060/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.4832 (2.1973)	Prec@1 35.156 (44.617)	Prec@5 71.094 (75.256)
Epoch: [45][14070/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.3536 (2.1973)	Prec@1 44.531 (44.616)	Prec@5 72.656 (75.257)
Epoch: [45][14080/14090]	Time 0.823 (0.765)	Data 0.000 (0.001)	Loss 1.9990 (2.1973)	Prec@1 51.562 (44.615)	Prec@5 75.000 (75.256)
Test: [0/286]	Time 4.398 (4.398)	Loss 1.3941 (1.3941)	Prec@1 60.156 (60.156)	Prec@5 92.969 (92.969)
Test: [10/286]	Time 0.243 (0.762)	Loss 1.8872 (2.0169)	Prec@1 42.969 (47.230)	Prec@5 86.719 (81.179)
Test: [20/286]	Time 0.228 (0.579)	Loss 1.8874 (1.9475)	Prec@1 53.125 (48.363)	Prec@5 85.156 (82.217)
Test: [30/286]	Time 0.287 (0.518)	Loss 1.7850 (1.8154)	Prec@1 54.688 (52.319)	Prec@5 82.812 (83.317)
Test: [40/286]	Time 1.342 (0.511)	Loss 1.6537 (1.8364)	Prec@1 46.875 (52.001)	Prec@5 86.719 (82.965)
Test: [50/286]	Time 0.545 (0.493)	Loss 0.5949 (1.8277)	Prec@1 86.719 (51.930)	Prec@5 94.531 (83.349)
Test: [60/286]	Time 0.228 (0.475)	Loss 3.0040 (1.8503)	Prec@1 30.469 (51.627)	Prec@5 58.594 (82.364)
Test: [70/286]	Time 0.229 (0.461)	Loss 0.8596 (1.8229)	Prec@1 80.469 (52.421)	Prec@5 92.969 (82.680)
Test: [80/286]	Time 0.352 (0.465)	Loss 2.1283 (1.8580)	Prec@1 36.719 (51.235)	Prec@5 80.469 (82.215)
Test: [90/286]	Time 0.232 (0.460)	Loss 2.2341 (1.8722)	Prec@1 43.750 (50.936)	Prec@5 78.906 (81.877)
Test: [100/286]	Time 0.365 (0.454)	Loss 1.9780 (1.8899)	Prec@1 49.219 (50.325)	Prec@5 85.938 (81.846)
Test: [110/286]	Time 0.228 (0.448)	Loss 2.3199 (1.9059)	Prec@1 41.406 (49.894)	Prec@5 73.438 (81.785)
Test: [120/286]	Time 0.292 (0.451)	Loss 1.8082 (1.8837)	Prec@1 57.812 (50.529)	Prec@5 76.562 (82.089)
Test: [130/286]	Time 0.420 (0.449)	Loss 1.0475 (1.8738)	Prec@1 67.969 (50.889)	Prec@5 92.969 (82.174)
Test: [140/286]	Time 0.457 (0.448)	Loss 2.4007 (1.8637)	Prec@1 47.656 (51.130)	Prec@5 71.875 (82.181)
Test: [150/286]	Time 0.256 (0.445)	Loss 2.7758 (1.8711)	Prec@1 29.688 (50.781)	Prec@5 71.875 (82.197)
Test: [160/286]	Time 0.282 (0.443)	Loss 2.8481 (1.8690)	Prec@1 21.875 (50.762)	Prec@5 66.406 (82.245)
Test: [170/286]	Time 0.442 (0.442)	Loss 1.7997 (1.8610)	Prec@1 52.344 (50.946)	Prec@5 84.375 (82.415)
Test: [180/286]	Time 0.252 (0.443)	Loss 2.1171 (1.8767)	Prec@1 53.906 (50.691)	Prec@5 78.906 (82.187)
Test: [190/286]	Time 0.492 (0.442)	Loss 3.1994 (1.9010)	Prec@1 12.500 (50.057)	Prec@5 64.844 (81.888)
Test: [200/286]	Time 0.227 (0.439)	Loss 1.8032 (1.9003)	Prec@1 57.812 (50.179)	Prec@5 85.938 (81.856)
Test: [210/286]	Time 0.506 (0.438)	Loss 2.3969 (1.9052)	Prec@1 36.719 (49.911)	Prec@5 75.000 (81.802)
Test: [220/286]	Time 0.255 (0.441)	Loss 2.7610 (1.9140)	Prec@1 26.562 (49.753)	Prec@5 69.531 (81.642)
Test: [230/286]	Time 0.327 (0.439)	Loss 1.3025 (1.9126)	Prec@1 65.625 (49.794)	Prec@5 86.719 (81.612)
Test: [240/286]	Time 0.257 (0.437)	Loss 2.0108 (1.9131)	Prec@1 50.000 (49.844)	Prec@5 78.906 (81.551)
Test: [250/286]	Time 0.298 (0.435)	Loss 1.7658 (1.9041)	Prec@1 52.344 (49.922)	Prec@5 83.594 (81.760)
Test: [260/286]	Time 0.231 (0.438)	Loss 1.4343 (1.8920)	Prec@1 63.281 (50.150)	Prec@5 85.938 (81.962)
Test: [270/286]	Time 0.228 (0.437)	Loss 1.0190 (1.8896)	Prec@1 71.875 (50.268)	Prec@5 92.969 (81.974)
Test: [280/286]	Time 0.228 (0.435)	Loss 1.5492 (1.8731)	Prec@1 60.156 (50.812)	Prec@5 90.625 (82.159)
 * Prec@1 50.925 Prec@5 82.148
Epoch: [46][0/14090]	Time 5.992 (5.992)	Data 5.214 (5.214)	Loss 2.0555 (2.0555)	Prec@1 49.219 (49.219)	Prec@5 79.688 (79.688)
Epoch: [46][10/14090]	Time 0.725 (1.224)	Data 0.001 (0.475)	Loss 2.1650 (2.0445)	Prec@1 49.219 (48.224)	Prec@5 75.781 (78.835)
Epoch: [46][20/14090]	Time 0.724 (1.000)	Data 0.001 (0.249)	Loss 2.1888 (2.0950)	Prec@1 45.312 (47.396)	Prec@5 72.656 (77.455)
Epoch: [46][30/14090]	Time 0.758 (0.922)	Data 0.001 (0.169)	Loss 2.1592 (2.1099)	Prec@1 47.656 (46.900)	Prec@5 75.781 (77.243)
Epoch: [46][40/14090]	Time 0.754 (0.882)	Data 0.001 (0.128)	Loss 2.1419 (2.1082)	Prec@1 43.750 (46.570)	Prec@5 75.781 (77.534)
Epoch: [46][50/14090]	Time 0.877 (0.858)	Data 0.001 (0.103)	Loss 2.0259 (2.1122)	Prec@1 47.656 (46.538)	Prec@5 78.906 (77.145)
Epoch: [46][60/14090]	Time 0.742 (0.843)	Data 0.001 (0.086)	Loss 1.8886 (2.1071)	Prec@1 51.562 (46.427)	Prec@5 80.469 (77.293)
Epoch: [46][70/14090]	Time 0.750 (0.829)	Data 0.001 (0.074)	Loss 2.0514 (2.1216)	Prec@1 53.125 (46.457)	Prec@5 80.469 (76.783)
Epoch: [46][80/14090]	Time 0.727 (0.822)	Data 0.001 (0.065)	Loss 2.2111 (2.1298)	Prec@1 44.531 (46.296)	Prec@5 74.219 (76.562)
Epoch: [46][90/14090]	Time 0.731 (0.815)	Data 0.001 (0.058)	Loss 2.2129 (2.1382)	Prec@1 43.750 (46.025)	Prec@5 80.469 (76.494)
Epoch: [46][100/14090]	Time 0.747 (0.810)	Data 0.001 (0.052)	Loss 2.2710 (2.1413)	Prec@1 46.094 (46.016)	Prec@5 71.875 (76.361)
Epoch: [46][110/14090]	Time 0.733 (0.805)	Data 0.001 (0.048)	Loss 2.5301 (2.1517)	Prec@1 41.406 (45.721)	Prec@5 67.188 (76.098)
Epoch: [46][120/14090]	Time 0.860 (0.802)	Data 0.001 (0.044)	Loss 2.0191 (2.1507)	Prec@1 46.094 (45.693)	Prec@5 81.250 (76.117)
Epoch: [46][130/14090]	Time 0.748 (0.799)	Data 0.001 (0.041)	Loss 2.2429 (2.1516)	Prec@1 45.312 (45.754)	Prec@5 74.219 (76.169)
Epoch: [46][140/14090]	Time 0.744 (0.796)	Data 0.001 (0.038)	Loss 2.0782 (2.1498)	Prec@1 42.969 (45.739)	Prec@5 78.906 (76.241)
Epoch: [46][150/14090]	Time 0.753 (0.795)	Data 0.001 (0.035)	Loss 1.9923 (2.1520)	Prec@1 46.875 (45.763)	Prec@5 74.219 (76.195)
Epoch: [46][160/14090]	Time 0.729 (0.792)	Data 0.001 (0.033)	Loss 1.9879 (2.1511)	Prec@1 47.656 (45.769)	Prec@5 77.344 (76.194)
Epoch: [46][170/14090]	Time 0.747 (0.791)	Data 0.001 (0.031)	Loss 2.3211 (2.1538)	Prec@1 37.500 (45.582)	Prec@5 77.344 (76.138)
Epoch: [46][180/14090]	Time 0.757 (0.789)	Data 0.001 (0.030)	Loss 2.2167 (2.1520)	Prec@1 38.281 (45.641)	Prec@5 71.875 (76.109)
Epoch: [46][190/14090]	Time 0.845 (0.788)	Data 0.001 (0.028)	Loss 2.2327 (2.1544)	Prec@1 42.969 (45.537)	Prec@5 77.344 (76.068)
Epoch: [46][200/14090]	Time 0.735 (0.786)	Data 0.001 (0.027)	Loss 1.7787 (2.1546)	Prec@1 53.125 (45.499)	Prec@5 86.719 (76.119)
Epoch: [46][210/14090]	Time 0.735 (0.785)	Data 0.001 (0.026)	Loss 2.5145 (2.1570)	Prec@1 43.750 (45.420)	Prec@5 71.094 (76.092)
Epoch: [46][220/14090]	Time 0.773 (0.785)	Data 0.001 (0.024)	Loss 2.2269 (2.1565)	Prec@1 42.188 (45.475)	Prec@5 76.562 (76.036)
Epoch: [46][230/14090]	Time 0.759 (0.783)	Data 0.001 (0.023)	Loss 2.4140 (2.1577)	Prec@1 37.500 (45.488)	Prec@5 71.875 (76.025)
Epoch: [46][240/14090]	Time 0.739 (0.783)	Data 0.001 (0.022)	Loss 2.2152 (2.1564)	Prec@1 44.531 (45.517)	Prec@5 72.656 (76.067)
Epoch: [46][250/14090]	Time 0.777 (0.782)	Data 0.001 (0.022)	Loss 2.0106 (2.1546)	Prec@1 53.125 (45.558)	Prec@5 78.125 (76.099)
Epoch: [46][260/14090]	Time 0.819 (0.782)	Data 0.001 (0.021)	Loss 2.1138 (2.1558)	Prec@1 52.344 (45.585)	Prec@5 71.875 (76.069)
Epoch: [46][270/14090]	Time 0.759 (0.781)	Data 0.001 (0.020)	Loss 2.0414 (2.1568)	Prec@1 49.219 (45.537)	Prec@5 81.250 (76.061)
Epoch: [46][280/14090]	Time 0.769 (0.780)	Data 0.001 (0.019)	Loss 2.0213 (2.1578)	Prec@1 47.656 (45.513)	Prec@5 78.125 (76.031)
Epoch: [46][290/14090]	Time 0.738 (0.780)	Data 0.001 (0.019)	Loss 2.1095 (2.1569)	Prec@1 46.875 (45.506)	Prec@5 78.906 (75.983)
Epoch: [46][300/14090]	Time 0.741 (0.779)	Data 0.001 (0.018)	Loss 1.9762 (2.1565)	Prec@1 51.562 (45.481)	Prec@5 81.250 (75.984)
Epoch: [46][310/14090]	Time 0.738 (0.779)	Data 0.001 (0.018)	Loss 2.4021 (2.1596)	Prec@1 39.062 (45.461)	Prec@5 67.969 (75.909)
Epoch: [46][320/14090]	Time 0.724 (0.778)	Data 0.001 (0.017)	Loss 2.1016 (2.1592)	Prec@1 49.219 (45.488)	Prec@5 73.438 (75.893)
Epoch: [46][330/14090]	Time 0.885 (0.778)	Data 0.001 (0.017)	Loss 2.0211 (2.1570)	Prec@1 46.875 (45.520)	Prec@5 77.344 (75.909)
Epoch: [46][340/14090]	Time 0.724 (0.778)	Data 0.001 (0.016)	Loss 2.4941 (2.1572)	Prec@1 38.281 (45.484)	Prec@5 69.531 (75.900)
Epoch: [46][350/14090]	Time 0.748 (0.777)	Data 0.001 (0.016)	Loss 2.2644 (2.1577)	Prec@1 39.844 (45.473)	Prec@5 78.125 (75.919)
Epoch: [46][360/14090]	Time 0.763 (0.777)	Data 0.001 (0.015)	Loss 2.1997 (2.1593)	Prec@1 45.312 (45.410)	Prec@5 73.438 (75.909)
Epoch: [46][370/14090]	Time 0.757 (0.776)	Data 0.001 (0.015)	Loss 1.8566 (2.1617)	Prec@1 47.656 (45.365)	Prec@5 85.938 (75.872)
Epoch: [46][380/14090]	Time 0.738 (0.776)	Data 0.001 (0.015)	Loss 2.4605 (2.1613)	Prec@1 44.531 (45.417)	Prec@5 69.531 (75.876)
Epoch: [46][390/14090]	Time 0.754 (0.776)	Data 0.001 (0.014)	Loss 1.8533 (2.1616)	Prec@1 50.000 (45.368)	Prec@5 79.688 (75.875)
Epoch: [46][400/14090]	Time 0.849 (0.776)	Data 0.001 (0.014)	Loss 2.2257 (2.1615)	Prec@1 38.281 (45.369)	Prec@5 75.000 (75.885)
Epoch: [46][410/14090]	Time 0.723 (0.775)	Data 0.001 (0.014)	Loss 2.2933 (2.1627)	Prec@1 44.531 (45.311)	Prec@5 75.000 (75.907)
Epoch: [46][420/14090]	Time 0.747 (0.775)	Data 0.001 (0.013)	Loss 2.4713 (2.1642)	Prec@1 41.406 (45.300)	Prec@5 69.531 (75.859)
Epoch: [46][430/14090]	Time 0.736 (0.775)	Data 0.001 (0.013)	Loss 1.9864 (2.1647)	Prec@1 50.781 (45.245)	Prec@5 76.562 (75.843)
Epoch: [46][440/14090]	Time 0.740 (0.775)	Data 0.001 (0.013)	Loss 1.9531 (2.1644)	Prec@1 53.125 (45.231)	Prec@5 77.344 (75.810)
Epoch: [46][450/14090]	Time 0.733 (0.774)	Data 0.001 (0.012)	Loss 1.9761 (2.1641)	Prec@1 50.000 (45.271)	Prec@5 82.031 (75.807)
Epoch: [46][460/14090]	Time 0.754 (0.774)	Data 0.001 (0.012)	Loss 2.1030 (2.1641)	Prec@1 46.875 (45.277)	Prec@5 74.219 (75.791)
Epoch: [46][470/14090]	Time 0.867 (0.774)	Data 0.001 (0.012)	Loss 2.4467 (2.1643)	Prec@1 44.531 (45.281)	Prec@5 75.000 (75.798)
Epoch: [46][480/14090]	Time 0.760 (0.774)	Data 0.001 (0.012)	Loss 2.1161 (2.1648)	Prec@1 46.094 (45.280)	Prec@5 75.781 (75.773)
Epoch: [46][490/14090]	Time 0.759 (0.774)	Data 0.001 (0.011)	Loss 2.2928 (2.1678)	Prec@1 40.625 (45.207)	Prec@5 71.094 (75.711)
Epoch: [46][500/14090]	Time 0.750 (0.774)	Data 0.001 (0.011)	Loss 2.2292 (2.1670)	Prec@1 44.531 (45.236)	Prec@5 76.562 (75.716)
Epoch: [46][510/14090]	Time 0.758 (0.773)	Data 0.001 (0.011)	Loss 2.2230 (2.1672)	Prec@1 46.875 (45.261)	Prec@5 76.562 (75.711)
Epoch: [46][520/14090]	Time 0.750 (0.773)	Data 0.001 (0.011)	Loss 2.0787 (2.1669)	Prec@1 43.750 (45.260)	Prec@5 78.125 (75.712)
Epoch: [46][530/14090]	Time 0.760 (0.773)	Data 0.001 (0.011)	Loss 2.3522 (2.1671)	Prec@1 41.406 (45.245)	Prec@5 68.750 (75.734)
Epoch: [46][540/14090]	Time 0.867 (0.773)	Data 0.001 (0.010)	Loss 2.1395 (2.1655)	Prec@1 46.875 (45.282)	Prec@5 75.781 (75.777)
Epoch: [46][550/14090]	Time 0.751 (0.773)	Data 0.001 (0.010)	Loss 2.1157 (2.1652)	Prec@1 49.219 (45.303)	Prec@5 75.000 (75.778)
Epoch: [46][560/14090]	Time 0.743 (0.772)	Data 0.001 (0.010)	Loss 2.3510 (2.1659)	Prec@1 37.500 (45.294)	Prec@5 71.875 (75.772)
Epoch: [46][570/14090]	Time 0.742 (0.773)	Data 0.001 (0.010)	Loss 2.4414 (2.1663)	Prec@1 42.969 (45.278)	Prec@5 68.750 (75.765)
Epoch: [46][580/14090]	Time 0.736 (0.772)	Data 0.001 (0.010)	Loss 1.9138 (2.1656)	Prec@1 50.000 (45.291)	Prec@5 81.250 (75.773)
Epoch: [46][590/14090]	Time 0.738 (0.772)	Data 0.001 (0.010)	Loss 2.1622 (2.1666)	Prec@1 50.000 (45.268)	Prec@5 73.438 (75.755)
Epoch: [46][600/14090]	Time 0.727 (0.772)	Data 0.001 (0.010)	Loss 1.9268 (2.1661)	Prec@1 53.906 (45.310)	Prec@5 78.906 (75.757)
Epoch: [46][610/14090]	Time 0.892 (0.772)	Data 0.001 (0.009)	Loss 2.2882 (2.1664)	Prec@1 45.312 (45.310)	Prec@5 72.656 (75.731)
Epoch: [46][620/14090]	Time 0.738 (0.772)	Data 0.001 (0.009)	Loss 2.1607 (2.1668)	Prec@1 46.094 (45.316)	Prec@5 75.000 (75.718)
Epoch: [46][630/14090]	Time 0.746 (0.771)	Data 0.001 (0.009)	Loss 2.0714 (2.1666)	Prec@1 48.438 (45.345)	Prec@5 74.219 (75.747)
Epoch: [46][640/14090]	Time 0.741 (0.771)	Data 0.001 (0.009)	Loss 2.1887 (2.1666)	Prec@1 44.531 (45.343)	Prec@5 75.781 (75.748)
Epoch: [46][650/14090]	Time 0.740 (0.771)	Data 0.001 (0.009)	Loss 2.0257 (2.1661)	Prec@1 47.656 (45.332)	Prec@5 74.219 (75.758)
Epoch: [46][660/14090]	Time 0.747 (0.771)	Data 0.001 (0.009)	Loss 2.4357 (2.1680)	Prec@1 38.281 (45.269)	Prec@5 74.219 (75.735)
Epoch: [46][670/14090]	Time 0.748 (0.771)	Data 0.001 (0.009)	Loss 2.1038 (2.1678)	Prec@1 46.094 (45.275)	Prec@5 78.125 (75.746)
Epoch: [46][680/14090]	Time 0.865 (0.771)	Data 0.001 (0.008)	Loss 2.0503 (2.1677)	Prec@1 49.219 (45.263)	Prec@5 75.781 (75.751)
Epoch: [46][690/14090]	Time 0.735 (0.771)	Data 0.001 (0.008)	Loss 2.0231 (2.1681)	Prec@1 52.344 (45.238)	Prec@5 78.906 (75.752)
Epoch: [46][700/14090]	Time 0.757 (0.771)	Data 0.001 (0.008)	Loss 2.3199 (2.1677)	Prec@1 42.188 (45.246)	Prec@5 72.656 (75.757)
Epoch: [46][710/14090]	Time 0.744 (0.771)	Data 0.001 (0.008)	Loss 2.3840 (2.1695)	Prec@1 38.281 (45.226)	Prec@5 71.094 (75.718)
Epoch: [46][720/14090]	Time 0.756 (0.770)	Data 0.001 (0.008)	Loss 2.1359 (2.1693)	Prec@1 42.188 (45.231)	Prec@5 80.469 (75.723)
Epoch: [46][730/14090]	Time 0.758 (0.770)	Data 0.001 (0.008)	Loss 2.3137 (2.1687)	Prec@1 41.406 (45.237)	Prec@5 76.562 (75.752)
Epoch: [46][740/14090]	Time 0.778 (0.770)	Data 0.001 (0.008)	Loss 2.3860 (2.1689)	Prec@1 42.969 (45.247)	Prec@5 68.750 (75.744)
Epoch: [46][750/14090]	Time 0.873 (0.770)	Data 0.001 (0.008)	Loss 2.2377 (2.1676)	Prec@1 43.750 (45.279)	Prec@5 71.094 (75.750)
Epoch: [46][760/14090]	Time 0.723 (0.770)	Data 0.001 (0.008)	Loss 2.2001 (2.1675)	Prec@1 47.656 (45.278)	Prec@5 76.562 (75.756)
Epoch: [46][770/14090]	Time 0.731 (0.770)	Data 0.001 (0.008)	Loss 2.3058 (2.1673)	Prec@1 45.312 (45.262)	Prec@5 68.750 (75.752)
Epoch: [46][780/14090]	Time 0.750 (0.770)	Data 0.002 (0.008)	Loss 2.1836 (2.1679)	Prec@1 52.344 (45.273)	Prec@5 72.656 (75.726)
Epoch: [46][790/14090]	Time 0.759 (0.770)	Data 0.001 (0.007)	Loss 2.1943 (2.1686)	Prec@1 45.312 (45.273)	Prec@5 77.344 (75.703)
Epoch: [46][800/14090]	Time 0.728 (0.770)	Data 0.001 (0.007)	Loss 2.1114 (2.1689)	Prec@1 45.312 (45.288)	Prec@5 78.906 (75.705)
Epoch: [46][810/14090]	Time 0.747 (0.770)	Data 0.001 (0.007)	Loss 2.1589 (2.1689)	Prec@1 41.406 (45.291)	Prec@5 78.125 (75.712)
Epoch: [46][820/14090]	Time 0.916 (0.770)	Data 0.001 (0.007)	Loss 1.9278 (2.1679)	Prec@1 49.219 (45.327)	Prec@5 78.906 (75.733)
Epoch: [46][830/14090]	Time 0.738 (0.770)	Data 0.001 (0.007)	Loss 2.1394 (2.1672)	Prec@1 46.875 (45.344)	Prec@5 76.562 (75.742)
Epoch: [46][840/14090]	Time 0.761 (0.770)	Data 0.001 (0.007)	Loss 2.0428 (2.1673)	Prec@1 46.094 (45.334)	Prec@5 78.906 (75.745)
Epoch: [46][850/14090]	Time 0.733 (0.770)	Data 0.001 (0.007)	Loss 2.3038 (2.1685)	Prec@1 42.188 (45.292)	Prec@5 70.312 (75.721)
Epoch: [46][860/14090]	Time 0.765 (0.769)	Data 0.001 (0.007)	Loss 2.2732 (2.1694)	Prec@1 41.406 (45.278)	Prec@5 74.219 (75.704)
Epoch: [46][870/14090]	Time 0.729 (0.769)	Data 0.001 (0.007)	Loss 2.4780 (2.1695)	Prec@1 37.500 (45.262)	Prec@5 67.969 (75.711)
Epoch: [46][880/14090]	Time 0.758 (0.769)	Data 0.001 (0.007)	Loss 2.2247 (2.1703)	Prec@1 46.094 (45.250)	Prec@5 74.219 (75.703)
Epoch: [46][890/14090]	Time 0.879 (0.769)	Data 0.001 (0.007)	Loss 2.1498 (2.1700)	Prec@1 44.531 (45.242)	Prec@5 75.781 (75.723)
Epoch: [46][900/14090]	Time 0.770 (0.769)	Data 0.001 (0.007)	Loss 2.1802 (2.1705)	Prec@1 47.656 (45.242)	Prec@5 72.656 (75.710)
Epoch: [46][910/14090]	Time 0.755 (0.769)	Data 0.001 (0.007)	Loss 2.2734 (2.1709)	Prec@1 42.188 (45.216)	Prec@5 69.531 (75.704)
Epoch: [46][920/14090]	Time 0.746 (0.769)	Data 0.001 (0.007)	Loss 1.9644 (2.1712)	Prec@1 50.781 (45.219)	Prec@5 80.469 (75.711)
Epoch: [46][930/14090]	Time 0.733 (0.769)	Data 0.001 (0.006)	Loss 2.0477 (2.1707)	Prec@1 47.656 (45.219)	Prec@5 82.812 (75.733)
Epoch: [46][940/14090]	Time 0.727 (0.769)	Data 0.001 (0.006)	Loss 1.9479 (2.1709)	Prec@1 46.094 (45.210)	Prec@5 82.031 (75.721)
Epoch: [46][950/14090]	Time 0.727 (0.769)	Data 0.001 (0.006)	Loss 2.0165 (2.1711)	Prec@1 44.531 (45.205)	Prec@5 80.469 (75.720)
Epoch: [46][960/14090]	Time 0.853 (0.769)	Data 0.001 (0.006)	Loss 2.1147 (2.1708)	Prec@1 46.094 (45.205)	Prec@5 78.906 (75.728)
Epoch: [46][970/14090]	Time 0.726 (0.769)	Data 0.001 (0.006)	Loss 2.2961 (2.1707)	Prec@1 35.938 (45.214)	Prec@5 78.125 (75.739)
Epoch: [46][980/14090]	Time 0.724 (0.768)	Data 0.001 (0.006)	Loss 2.1477 (2.1705)	Prec@1 47.656 (45.216)	Prec@5 77.344 (75.738)
Epoch: [46][990/14090]	Time 0.751 (0.768)	Data 0.001 (0.006)	Loss 2.3647 (2.1703)	Prec@1 36.719 (45.224)	Prec@5 71.094 (75.740)
Epoch: [46][1000/14090]	Time 0.741 (0.768)	Data 0.001 (0.006)	Loss 2.0420 (2.1705)	Prec@1 50.000 (45.221)	Prec@5 78.125 (75.733)
Epoch: [46][1010/14090]	Time 0.733 (0.768)	Data 0.001 (0.006)	Loss 2.2513 (2.1715)	Prec@1 46.094 (45.219)	Prec@5 75.000 (75.714)
Epoch: [46][1020/14090]	Time 0.761 (0.768)	Data 0.001 (0.006)	Loss 1.9369 (2.1711)	Prec@1 51.562 (45.241)	Prec@5 78.125 (75.725)
Epoch: [46][1030/14090]	Time 0.860 (0.768)	Data 0.001 (0.006)	Loss 2.1643 (2.1705)	Prec@1 42.969 (45.254)	Prec@5 77.344 (75.732)
Epoch: [46][1040/14090]	Time 0.729 (0.768)	Data 0.001 (0.006)	Loss 2.1365 (2.1716)	Prec@1 50.000 (45.240)	Prec@5 76.562 (75.705)
Epoch: [46][1050/14090]	Time 0.731 (0.768)	Data 0.001 (0.006)	Loss 2.1790 (2.1710)	Prec@1 46.875 (45.257)	Prec@5 76.562 (75.720)
Epoch: [46][1060/14090]	Time 0.774 (0.768)	Data 0.001 (0.006)	Loss 2.2900 (2.1717)	Prec@1 42.188 (45.251)	Prec@5 74.219 (75.698)
Epoch: [46][1070/14090]	Time 0.759 (0.768)	Data 0.001 (0.006)	Loss 2.2738 (2.1722)	Prec@1 50.000 (45.248)	Prec@5 71.875 (75.690)
Epoch: [46][1080/14090]	Time 0.727 (0.768)	Data 0.001 (0.006)	Loss 2.1712 (2.1714)	Prec@1 44.531 (45.255)	Prec@5 78.906 (75.703)
Epoch: [46][1090/14090]	Time 0.745 (0.768)	Data 0.001 (0.006)	Loss 2.1267 (2.1712)	Prec@1 48.438 (45.258)	Prec@5 75.781 (75.704)
Epoch: [46][1100/14090]	Time 0.867 (0.768)	Data 0.001 (0.006)	Loss 2.2096 (2.1706)	Prec@1 41.406 (45.269)	Prec@5 77.344 (75.722)
Epoch: [46][1110/14090]	Time 0.743 (0.768)	Data 0.001 (0.006)	Loss 2.0487 (2.1713)	Prec@1 47.656 (45.248)	Prec@5 82.031 (75.712)
Epoch: [46][1120/14090]	Time 0.749 (0.768)	Data 0.001 (0.006)	Loss 2.1818 (2.1720)	Prec@1 49.219 (45.237)	Prec@5 77.344 (75.688)
Epoch: [46][1130/14090]	Time 0.723 (0.768)	Data 0.001 (0.005)	Loss 2.2390 (2.1720)	Prec@1 42.188 (45.235)	Prec@5 72.656 (75.678)
Epoch: [46][1140/14090]	Time 0.767 (0.768)	Data 0.001 (0.005)	Loss 2.3167 (2.1725)	Prec@1 46.094 (45.205)	Prec@5 75.781 (75.675)
Epoch: [46][1150/14090]	Time 0.740 (0.768)	Data 0.001 (0.005)	Loss 2.2755 (2.1729)	Prec@1 42.188 (45.192)	Prec@5 75.000 (75.675)
Epoch: [46][1160/14090]	Time 0.758 (0.767)	Data 0.001 (0.005)	Loss 2.1354 (2.1728)	Prec@1 42.188 (45.180)	Prec@5 76.562 (75.677)
Epoch: [46][1170/14090]	Time 0.878 (0.768)	Data 0.001 (0.005)	Loss 2.2611 (2.1734)	Prec@1 40.625 (45.169)	Prec@5 77.344 (75.668)
Epoch: [46][1180/14090]	Time 0.741 (0.767)	Data 0.001 (0.005)	Loss 2.2128 (2.1734)	Prec@1 38.281 (45.152)	Prec@5 75.000 (75.673)
Epoch: [46][1190/14090]	Time 0.736 (0.767)	Data 0.001 (0.005)	Loss 2.1916 (2.1736)	Prec@1 38.281 (45.158)	Prec@5 79.688 (75.675)
Epoch: [46][1200/14090]	Time 0.753 (0.767)	Data 0.001 (0.005)	Loss 2.1278 (2.1731)	Prec@1 46.094 (45.167)	Prec@5 77.344 (75.691)
Epoch: [46][1210/14090]	Time 0.765 (0.767)	Data 0.001 (0.005)	Loss 2.0773 (2.1735)	Prec@1 46.094 (45.163)	Prec@5 78.906 (75.692)
Epoch: [46][1220/14090]	Time 0.734 (0.767)	Data 0.001 (0.005)	Loss 2.2555 (2.1738)	Prec@1 41.406 (45.169)	Prec@5 73.438 (75.690)
Epoch: [46][1230/14090]	Time 0.723 (0.767)	Data 0.001 (0.005)	Loss 2.4149 (2.1742)	Prec@1 38.281 (45.157)	Prec@5 71.094 (75.689)
Epoch: [46][1240/14090]	Time 0.857 (0.767)	Data 0.001 (0.005)	Loss 2.2124 (2.1748)	Prec@1 44.531 (45.140)	Prec@5 74.219 (75.675)
Epoch: [46][1250/14090]	Time 0.732 (0.767)	Data 0.001 (0.005)	Loss 2.0087 (2.1753)	Prec@1 46.875 (45.143)	Prec@5 77.344 (75.672)
Epoch: [46][1260/14090]	Time 0.731 (0.767)	Data 0.001 (0.005)	Loss 2.1628 (2.1759)	Prec@1 50.781 (45.139)	Prec@5 72.656 (75.659)
Epoch: [46][1270/14090]	Time 0.723 (0.767)	Data 0.001 (0.005)	Loss 1.9525 (2.1761)	Prec@1 46.094 (45.126)	Prec@5 79.688 (75.663)
Epoch: [46][1280/14090]	Time 0.772 (0.767)	Data 0.001 (0.005)	Loss 2.3627 (2.1761)	Prec@1 44.531 (45.122)	Prec@5 72.656 (75.668)
Epoch: [46][1290/14090]	Time 0.734 (0.767)	Data 0.001 (0.005)	Loss 2.2113 (2.1764)	Prec@1 44.531 (45.127)	Prec@5 75.781 (75.665)
Epoch: [46][1300/14090]	Time 0.757 (0.767)	Data 0.001 (0.005)	Loss 2.3817 (2.1765)	Prec@1 42.188 (45.126)	Prec@5 69.531 (75.661)
Epoch: [46][1310/14090]	Time 0.855 (0.767)	Data 0.001 (0.005)	Loss 1.9759 (2.1758)	Prec@1 50.000 (45.157)	Prec@5 78.906 (75.684)
Epoch: [46][1320/14090]	Time 0.774 (0.767)	Data 0.001 (0.005)	Loss 2.1172 (2.1756)	Prec@1 45.312 (45.154)	Prec@5 75.000 (75.688)
Epoch: [46][1330/14090]	Time 0.736 (0.767)	Data 0.001 (0.005)	Loss 2.1147 (2.1750)	Prec@1 46.875 (45.166)	Prec@5 75.781 (75.698)
Epoch: [46][1340/14090]	Time 0.721 (0.767)	Data 0.001 (0.005)	Loss 2.3456 (2.1750)	Prec@1 39.844 (45.160)	Prec@5 75.781 (75.704)
Epoch: [46][1350/14090]	Time 0.762 (0.767)	Data 0.001 (0.005)	Loss 2.0016 (2.1746)	Prec@1 50.000 (45.154)	Prec@5 77.344 (75.712)
Epoch: [46][1360/14090]	Time 0.751 (0.767)	Data 0.001 (0.005)	Loss 2.0075 (2.1748)	Prec@1 46.875 (45.147)	Prec@5 75.000 (75.698)
Epoch: [46][1370/14090]	Time 0.753 (0.767)	Data 0.001 (0.005)	Loss 2.2012 (2.1746)	Prec@1 41.406 (45.152)	Prec@5 74.219 (75.711)
Epoch: [46][1380/14090]	Time 0.834 (0.767)	Data 0.001 (0.005)	Loss 2.2540 (2.1738)	Prec@1 40.625 (45.167)	Prec@5 73.438 (75.718)
Epoch: [46][1390/14090]	Time 0.783 (0.767)	Data 0.001 (0.005)	Loss 2.3351 (2.1734)	Prec@1 37.500 (45.157)	Prec@5 76.562 (75.719)
Epoch: [46][1400/14090]	Time 0.760 (0.767)	Data 0.001 (0.005)	Loss 1.9388 (2.1733)	Prec@1 47.656 (45.152)	Prec@5 81.250 (75.722)
Epoch: [46][1410/14090]	Time 0.732 (0.767)	Data 0.001 (0.005)	Loss 2.0412 (2.1735)	Prec@1 49.219 (45.148)	Prec@5 78.906 (75.714)
Epoch: [46][1420/14090]	Time 0.737 (0.767)	Data 0.001 (0.005)	Loss 2.3659 (2.1740)	Prec@1 43.750 (45.135)	Prec@5 74.219 (75.702)
Epoch: [46][1430/14090]	Time 0.742 (0.767)	Data 0.001 (0.004)	Loss 2.4593 (2.1747)	Prec@1 43.750 (45.116)	Prec@5 70.312 (75.686)
Epoch: [46][1440/14090]	Time 0.753 (0.767)	Data 0.001 (0.004)	Loss 2.1512 (2.1750)	Prec@1 41.406 (45.106)	Prec@5 78.125 (75.681)
Epoch: [46][1450/14090]	Time 0.823 (0.767)	Data 0.001 (0.004)	Loss 2.1652 (2.1750)	Prec@1 47.656 (45.091)	Prec@5 75.781 (75.689)
Epoch: [46][1460/14090]	Time 0.753 (0.767)	Data 0.001 (0.004)	Loss 2.1254 (2.1749)	Prec@1 48.438 (45.098)	Prec@5 72.656 (75.684)
Epoch: [46][1470/14090]	Time 0.753 (0.767)	Data 0.001 (0.004)	Loss 2.2586 (2.1748)	Prec@1 44.531 (45.093)	Prec@5 71.875 (75.690)
Epoch: [46][1480/14090]	Time 0.741 (0.767)	Data 0.001 (0.004)	Loss 2.2238 (2.1747)	Prec@1 43.750 (45.096)	Prec@5 77.344 (75.689)
Epoch: [46][1490/14090]	Time 0.735 (0.766)	Data 0.001 (0.004)	Loss 2.3340 (2.1753)	Prec@1 41.406 (45.087)	Prec@5 74.219 (75.683)
Epoch: [46][1500/14090]	Time 0.760 (0.767)	Data 0.001 (0.004)	Loss 2.1222 (2.1749)	Prec@1 44.531 (45.082)	Prec@5 75.000 (75.686)
Epoch: [46][1510/14090]	Time 0.754 (0.766)	Data 0.001 (0.004)	Loss 2.4859 (2.1747)	Prec@1 39.844 (45.096)	Prec@5 68.750 (75.682)
Epoch: [46][1520/14090]	Time 0.866 (0.767)	Data 0.001 (0.004)	Loss 2.1328 (2.1753)	Prec@1 50.781 (45.092)	Prec@5 77.344 (75.668)
Epoch: [46][1530/14090]	Time 0.739 (0.766)	Data 0.001 (0.004)	Loss 2.2653 (2.1750)	Prec@1 39.844 (45.082)	Prec@5 77.344 (75.678)
Epoch: [46][1540/14090]	Time 0.731 (0.766)	Data 0.001 (0.004)	Loss 2.1169 (2.1752)	Prec@1 41.406 (45.080)	Prec@5 75.000 (75.675)
Epoch: [46][1550/14090]	Time 0.738 (0.766)	Data 0.001 (0.004)	Loss 2.0523 (2.1746)	Prec@1 47.656 (45.084)	Prec@5 80.469 (75.693)
Epoch: [46][1560/14090]	Time 0.746 (0.766)	Data 0.001 (0.004)	Loss 2.2133 (2.1753)	Prec@1 48.438 (45.078)	Prec@5 78.906 (75.683)
Epoch: [46][1570/14090]	Time 0.758 (0.766)	Data 0.001 (0.004)	Loss 2.2268 (2.1750)	Prec@1 38.281 (45.074)	Prec@5 75.000 (75.692)
Epoch: [46][1580/14090]	Time 0.717 (0.766)	Data 0.001 (0.004)	Loss 2.2166 (2.1749)	Prec@1 42.188 (45.082)	Prec@5 74.219 (75.696)
Epoch: [46][1590/14090]	Time 0.843 (0.766)	Data 0.001 (0.004)	Loss 2.1921 (2.1751)	Prec@1 46.875 (45.072)	Prec@5 75.000 (75.691)
Epoch: [46][1600/14090]	Time 0.742 (0.766)	Data 0.001 (0.004)	Loss 2.1283 (2.1752)	Prec@1 47.656 (45.062)	Prec@5 79.688 (75.684)
Epoch: [46][1610/14090]	Time 0.767 (0.766)	Data 0.001 (0.004)	Loss 2.5528 (2.1762)	Prec@1 39.844 (45.038)	Prec@5 67.188 (75.659)
Epoch: [46][1620/14090]	Time 0.752 (0.766)	Data 0.001 (0.004)	Loss 2.0429 (2.1760)	Prec@1 43.750 (45.035)	Prec@5 77.344 (75.657)
Epoch: [46][1630/14090]	Time 0.746 (0.766)	Data 0.001 (0.004)	Loss 2.5467 (2.1764)	Prec@1 36.719 (45.025)	Prec@5 71.094 (75.652)
Epoch: [46][1640/14090]	Time 0.764 (0.766)	Data 0.001 (0.004)	Loss 2.0340 (2.1762)	Prec@1 48.438 (45.033)	Prec@5 78.125 (75.661)
Epoch: [46][1650/14090]	Time 0.752 (0.766)	Data 0.001 (0.004)	Loss 1.9764 (2.1763)	Prec@1 50.781 (45.025)	Prec@5 76.562 (75.668)
Epoch: [46][1660/14090]	Time 0.901 (0.766)	Data 0.001 (0.004)	Loss 2.2508 (2.1765)	Prec@1 46.875 (45.026)	Prec@5 72.656 (75.664)
Epoch: [46][1670/14090]	Time 0.756 (0.766)	Data 0.001 (0.004)	Loss 2.1694 (2.1761)	Prec@1 43.750 (45.027)	Prec@5 74.219 (75.674)
Epoch: [46][1680/14090]	Time 0.730 (0.766)	Data 0.001 (0.004)	Loss 2.1976 (2.1759)	Prec@1 45.312 (45.032)	Prec@5 74.219 (75.682)
Epoch: [46][1690/14090]	Time 0.740 (0.766)	Data 0.001 (0.004)	Loss 2.2735 (2.1762)	Prec@1 46.875 (45.027)	Prec@5 71.094 (75.674)
Epoch: [46][1700/14090]	Time 0.749 (0.766)	Data 0.001 (0.004)	Loss 2.4258 (2.1766)	Prec@1 36.719 (45.006)	Prec@5 69.531 (75.664)
Epoch: [46][1710/14090]	Time 0.772 (0.766)	Data 0.001 (0.004)	Loss 2.0660 (2.1761)	Prec@1 50.781 (45.023)	Prec@5 78.906 (75.674)
Epoch: [46][1720/14090]	Time 0.743 (0.766)	Data 0.001 (0.004)	Loss 2.3033 (2.1767)	Prec@1 44.531 (45.009)	Prec@5 76.562 (75.670)
Epoch: [46][1730/14090]	Time 0.849 (0.766)	Data 0.001 (0.004)	Loss 2.1253 (2.1769)	Prec@1 46.875 (45.006)	Prec@5 78.125 (75.663)
Epoch: [46][1740/14090]	Time 0.735 (0.766)	Data 0.001 (0.004)	Loss 2.4658 (2.1776)	Prec@1 42.969 (44.997)	Prec@5 69.531 (75.654)
Epoch: [46][1750/14090]	Time 0.730 (0.766)	Data 0.001 (0.004)	Loss 1.9970 (2.1777)	Prec@1 51.562 (45.005)	Prec@5 76.562 (75.648)
Epoch: [46][1760/14090]	Time 0.727 (0.766)	Data 0.001 (0.004)	Loss 2.0411 (2.1777)	Prec@1 45.312 (45.008)	Prec@5 75.000 (75.641)
Epoch: [46][1770/14090]	Time 0.751 (0.766)	Data 0.001 (0.004)	Loss 2.1844 (2.1774)	Prec@1 44.531 (45.007)	Prec@5 72.656 (75.642)
Epoch: [46][1780/14090]	Time 0.765 (0.766)	Data 0.001 (0.004)	Loss 2.3111 (2.1774)	Prec@1 42.188 (45.008)	Prec@5 70.312 (75.643)
Epoch: [46][1790/14090]	Time 0.760 (0.766)	Data 0.001 (0.004)	Loss 2.2849 (2.1778)	Prec@1 43.750 (44.999)	Prec@5 77.344 (75.640)
Epoch: [46][1800/14090]	Time 0.854 (0.766)	Data 0.002 (0.004)	Loss 1.9950 (2.1772)	Prec@1 45.312 (45.012)	Prec@5 80.469 (75.657)
Epoch: [46][1810/14090]	Time 0.747 (0.766)	Data 0.001 (0.004)	Loss 2.1340 (2.1769)	Prec@1 45.312 (45.017)	Prec@5 74.219 (75.663)
Epoch: [46][1820/14090]	Time 0.725 (0.766)	Data 0.001 (0.004)	Loss 2.3934 (2.1769)	Prec@1 39.844 (45.013)	Prec@5 71.094 (75.658)
Epoch: [46][1830/14090]	Time 0.778 (0.766)	Data 0.001 (0.004)	Loss 2.2553 (2.1773)	Prec@1 44.531 (45.004)	Prec@5 78.125 (75.658)
Epoch: [46][1840/14090]	Time 0.779 (0.766)	Data 0.001 (0.004)	Loss 2.3605 (2.1768)	Prec@1 37.500 (45.014)	Prec@5 73.438 (75.668)
Epoch: [46][1850/14090]	Time 0.736 (0.766)	Data 0.001 (0.004)	Loss 2.0267 (2.1769)	Prec@1 50.000 (45.013)	Prec@5 78.125 (75.666)
Epoch: [46][1860/14090]	Time 0.754 (0.766)	Data 0.001 (0.004)	Loss 2.0013 (2.1770)	Prec@1 46.094 (45.007)	Prec@5 76.562 (75.660)
Epoch: [46][1870/14090]	Time 0.859 (0.766)	Data 0.001 (0.004)	Loss 2.2972 (2.1767)	Prec@1 44.531 (45.016)	Prec@5 74.219 (75.661)
Epoch: [46][1880/14090]	Time 0.729 (0.766)	Data 0.001 (0.004)	Loss 2.1172 (2.1768)	Prec@1 53.906 (45.026)	Prec@5 78.125 (75.656)
Epoch: [46][1890/14090]	Time 0.737 (0.766)	Data 0.001 (0.004)	Loss 2.4105 (2.1769)	Prec@1 44.531 (45.023)	Prec@5 68.750 (75.651)
Epoch: [46][1900/14090]	Time 0.756 (0.766)	Data 0.001 (0.004)	Loss 2.5431 (2.1771)	Prec@1 40.625 (45.020)	Prec@5 67.969 (75.642)
Epoch: [46][1910/14090]	Time 0.758 (0.766)	Data 0.001 (0.004)	Loss 1.9835 (2.1772)	Prec@1 46.094 (45.012)	Prec@5 75.781 (75.642)
Epoch: [46][1920/14090]	Time 0.750 (0.766)	Data 0.001 (0.004)	Loss 1.9107 (2.1767)	Prec@1 53.125 (45.022)	Prec@5 80.469 (75.655)
Epoch: [46][1930/14090]	Time 0.746 (0.766)	Data 0.001 (0.004)	Loss 2.1818 (2.1770)	Prec@1 46.094 (45.016)	Prec@5 79.688 (75.654)
Epoch: [46][1940/14090]	Time 0.866 (0.766)	Data 0.001 (0.004)	Loss 1.8362 (2.1771)	Prec@1 52.344 (45.007)	Prec@5 81.250 (75.651)
Epoch: [46][1950/14090]	Time 0.762 (0.766)	Data 0.001 (0.004)	Loss 2.1398 (2.1770)	Prec@1 42.188 (45.009)	Prec@5 77.344 (75.652)
Epoch: [46][1960/14090]	Time 0.725 (0.766)	Data 0.001 (0.004)	Loss 1.8836 (2.1768)	Prec@1 53.125 (45.019)	Prec@5 77.344 (75.659)
Epoch: [46][1970/14090]	Time 0.760 (0.766)	Data 0.001 (0.003)	Loss 2.1477 (2.1769)	Prec@1 41.406 (45.017)	Prec@5 79.688 (75.646)
Epoch: [46][1980/14090]	Time 0.723 (0.766)	Data 0.001 (0.003)	Loss 2.2069 (2.1769)	Prec@1 39.844 (45.009)	Prec@5 74.219 (75.645)
Epoch: [46][1990/14090]	Time 0.737 (0.766)	Data 0.001 (0.003)	Loss 2.3671 (2.1767)	Prec@1 42.969 (45.013)	Prec@5 69.531 (75.645)
Epoch: [46][2000/14090]	Time 0.767 (0.766)	Data 0.001 (0.003)	Loss 2.1586 (2.1770)	Prec@1 42.969 (45.011)	Prec@5 75.781 (75.635)
Epoch: [46][2010/14090]	Time 0.895 (0.766)	Data 0.001 (0.003)	Loss 2.1766 (2.1770)	Prec@1 42.188 (45.019)	Prec@5 72.656 (75.642)
Epoch: [46][2020/14090]	Time 0.743 (0.766)	Data 0.001 (0.003)	Loss 2.2218 (2.1768)	Prec@1 42.188 (45.022)	Prec@5 78.125 (75.641)
Epoch: [46][2030/14090]	Time 0.741 (0.766)	Data 0.001 (0.003)	Loss 2.3501 (2.1767)	Prec@1 48.438 (45.029)	Prec@5 71.875 (75.646)
Epoch: [46][2040/14090]	Time 0.737 (0.766)	Data 0.001 (0.003)	Loss 2.1234 (2.1767)	Prec@1 49.219 (45.020)	Prec@5 75.000 (75.651)
Epoch: [46][2050/14090]	Time 0.732 (0.766)	Data 0.001 (0.003)	Loss 2.1726 (2.1769)	Prec@1 44.531 (45.010)	Prec@5 80.469 (75.652)
Epoch: [46][2060/14090]	Time 0.757 (0.766)	Data 0.001 (0.003)	Loss 2.1293 (2.1771)	Prec@1 49.219 (45.003)	Prec@5 80.469 (75.654)
Epoch: [46][2070/14090]	Time 0.733 (0.766)	Data 0.001 (0.003)	Loss 2.0611 (2.1768)	Prec@1 45.312 (45.006)	Prec@5 77.344 (75.664)
Epoch: [46][2080/14090]	Time 0.835 (0.766)	Data 0.001 (0.003)	Loss 2.2777 (2.1767)	Prec@1 46.875 (45.012)	Prec@5 71.094 (75.662)
Epoch: [46][2090/14090]	Time 0.759 (0.766)	Data 0.001 (0.003)	Loss 2.3735 (2.1769)	Prec@1 41.406 (45.005)	Prec@5 70.312 (75.654)
Epoch: [46][2100/14090]	Time 0.755 (0.766)	Data 0.001 (0.003)	Loss 2.0814 (2.1768)	Prec@1 47.656 (45.003)	Prec@5 78.906 (75.663)
Epoch: [46][2110/14090]	Time 0.742 (0.766)	Data 0.001 (0.003)	Loss 1.9803 (2.1768)	Prec@1 48.438 (45.003)	Prec@5 83.594 (75.668)
Epoch: [46][2120/14090]	Time 0.758 (0.766)	Data 0.001 (0.003)	Loss 2.2420 (2.1767)	Prec@1 46.094 (45.006)	Prec@5 73.438 (75.665)
Epoch: [46][2130/14090]	Time 0.743 (0.766)	Data 0.001 (0.003)	Loss 2.0892 (2.1764)	Prec@1 50.000 (45.008)	Prec@5 78.906 (75.672)
Epoch: [46][2140/14090]	Time 0.773 (0.766)	Data 0.001 (0.003)	Loss 1.9492 (2.1761)	Prec@1 50.781 (45.014)	Prec@5 76.562 (75.679)
Epoch: [46][2150/14090]	Time 0.855 (0.766)	Data 0.001 (0.003)	Loss 2.2105 (2.1766)	Prec@1 44.531 (44.998)	Prec@5 75.000 (75.670)
Epoch: [46][2160/14090]	Time 0.727 (0.766)	Data 0.001 (0.003)	Loss 2.0466 (2.1763)	Prec@1 45.312 (45.002)	Prec@5 74.219 (75.668)
Epoch: [46][2170/14090]	Time 0.768 (0.766)	Data 0.001 (0.003)	Loss 2.2448 (2.1761)	Prec@1 40.625 (45.007)	Prec@5 74.219 (75.674)
Epoch: [46][2180/14090]	Time 0.756 (0.766)	Data 0.001 (0.003)	Loss 1.9447 (2.1760)	Prec@1 45.312 (45.011)	Prec@5 78.125 (75.672)
Epoch: [46][2190/14090]	Time 0.758 (0.766)	Data 0.001 (0.003)	Loss 2.3052 (2.1759)	Prec@1 41.406 (45.004)	Prec@5 76.562 (75.677)
Epoch: [46][2200/14090]	Time 0.756 (0.766)	Data 0.001 (0.003)	Loss 2.0692 (2.1758)	Prec@1 44.531 (45.001)	Prec@5 78.906 (75.680)
Epoch: [46][2210/14090]	Time 0.728 (0.766)	Data 0.001 (0.003)	Loss 2.1209 (2.1757)	Prec@1 45.312 (45.006)	Prec@5 76.562 (75.689)
Epoch: [46][2220/14090]	Time 0.861 (0.766)	Data 0.001 (0.003)	Loss 2.3411 (2.1760)	Prec@1 42.969 (45.002)	Prec@5 72.656 (75.681)
Epoch: [46][2230/14090]	Time 0.754 (0.766)	Data 0.001 (0.003)	Loss 2.1205 (2.1762)	Prec@1 50.000 (45.004)	Prec@5 72.656 (75.678)
Epoch: [46][2240/14090]	Time 0.758 (0.766)	Data 0.001 (0.003)	Loss 2.2215 (2.1763)	Prec@1 45.312 (44.998)	Prec@5 76.562 (75.678)
Epoch: [46][2250/14090]	Time 0.748 (0.766)	Data 0.001 (0.003)	Loss 1.8938 (2.1761)	Prec@1 53.906 (45.004)	Prec@5 79.688 (75.676)
Epoch: [46][2260/14090]	Time 0.728 (0.766)	Data 0.001 (0.003)	Loss 2.2939 (2.1760)	Prec@1 39.844 (44.997)	Prec@5 73.438 (75.678)
Epoch: [46][2270/14090]	Time 0.725 (0.766)	Data 0.001 (0.003)	Loss 2.1623 (2.1758)	Prec@1 50.000 (45.010)	Prec@5 73.438 (75.678)
Epoch: [46][2280/14090]	Time 0.752 (0.765)	Data 0.001 (0.003)	Loss 2.3184 (2.1759)	Prec@1 46.094 (45.012)	Prec@5 75.781 (75.674)
Epoch: [46][2290/14090]	Time 0.870 (0.766)	Data 0.001 (0.003)	Loss 2.0050 (2.1757)	Prec@1 46.875 (45.007)	Prec@5 81.250 (75.679)
Epoch: [46][2300/14090]	Time 0.740 (0.765)	Data 0.001 (0.003)	Loss 2.3690 (2.1758)	Prec@1 38.281 (45.006)	Prec@5 74.219 (75.682)
Epoch: [46][2310/14090]	Time 0.755 (0.765)	Data 0.001 (0.003)	Loss 2.0352 (2.1757)	Prec@1 50.781 (45.012)	Prec@5 75.781 (75.683)
Epoch: [46][2320/14090]	Time 0.738 (0.765)	Data 0.001 (0.003)	Loss 2.4244 (2.1757)	Prec@1 46.094 (45.014)	Prec@5 71.875 (75.686)
Epoch: [46][2330/14090]	Time 0.750 (0.765)	Data 0.001 (0.003)	Loss 2.3449 (2.1761)	Prec@1 45.312 (45.011)	Prec@5 68.750 (75.678)
Epoch: [46][2340/14090]	Time 0.764 (0.765)	Data 0.001 (0.003)	Loss 2.1372 (2.1758)	Prec@1 50.000 (45.020)	Prec@5 80.469 (75.685)
Epoch: [46][2350/14090]	Time 0.724 (0.765)	Data 0.001 (0.003)	Loss 1.9369 (2.1759)	Prec@1 48.438 (45.016)	Prec@5 82.031 (75.684)
Epoch: [46][2360/14090]	Time 0.823 (0.765)	Data 0.001 (0.003)	Loss 1.9441 (2.1757)	Prec@1 54.688 (45.027)	Prec@5 80.469 (75.684)
Epoch: [46][2370/14090]	Time 0.733 (0.765)	Data 0.001 (0.003)	Loss 2.2593 (2.1755)	Prec@1 42.188 (45.037)	Prec@5 77.344 (75.690)
Epoch: [46][2380/14090]	Time 0.739 (0.765)	Data 0.001 (0.003)	Loss 2.1327 (2.1753)	Prec@1 42.188 (45.038)	Prec@5 73.438 (75.691)
Epoch: [46][2390/14090]	Time 0.733 (0.765)	Data 0.001 (0.003)	Loss 1.8373 (2.1754)	Prec@1 42.969 (45.034)	Prec@5 79.688 (75.686)
Epoch: [46][2400/14090]	Time 0.727 (0.765)	Data 0.001 (0.003)	Loss 2.0785 (2.1759)	Prec@1 46.875 (45.024)	Prec@5 80.469 (75.673)
Epoch: [46][2410/14090]	Time 0.755 (0.765)	Data 0.001 (0.003)	Loss 2.4036 (2.1764)	Prec@1 36.719 (45.010)	Prec@5 75.000 (75.666)
Epoch: [46][2420/14090]	Time 0.771 (0.765)	Data 0.001 (0.003)	Loss 2.2769 (2.1766)	Prec@1 39.844 (45.016)	Prec@5 73.438 (75.660)
Epoch: [46][2430/14090]	Time 0.867 (0.765)	Data 0.001 (0.003)	Loss 2.4908 (2.1769)	Prec@1 32.812 (45.006)	Prec@5 74.219 (75.654)
Epoch: [46][2440/14090]	Time 0.739 (0.765)	Data 0.001 (0.003)	Loss 2.0915 (2.1768)	Prec@1 42.969 (45.007)	Prec@5 75.000 (75.656)
Epoch: [46][2450/14090]	Time 0.733 (0.765)	Data 0.001 (0.003)	Loss 2.0323 (2.1766)	Prec@1 44.531 (45.006)	Prec@5 78.125 (75.657)
Epoch: [46][2460/14090]	Time 0.778 (0.765)	Data 0.001 (0.003)	Loss 2.0942 (2.1767)	Prec@1 44.531 (45.002)	Prec@5 81.250 (75.656)
Epoch: [46][2470/14090]	Time 0.754 (0.765)	Data 0.003 (0.003)	Loss 1.9861 (2.1765)	Prec@1 47.656 (45.001)	Prec@5 85.156 (75.660)
Epoch: [46][2480/14090]	Time 0.753 (0.765)	Data 0.001 (0.003)	Loss 2.1425 (2.1767)	Prec@1 50.000 (45.004)	Prec@5 72.656 (75.653)
Epoch: [46][2490/14090]	Time 0.720 (0.765)	Data 0.001 (0.003)	Loss 2.3639 (2.1765)	Prec@1 36.719 (45.007)	Prec@5 71.875 (75.657)
Epoch: [46][2500/14090]	Time 0.875 (0.765)	Data 0.001 (0.003)	Loss 2.4381 (2.1766)	Prec@1 41.406 (45.005)	Prec@5 71.094 (75.653)
Epoch: [46][2510/14090]	Time 0.743 (0.765)	Data 0.001 (0.003)	Loss 1.9175 (2.1765)	Prec@1 49.219 (45.006)	Prec@5 81.250 (75.654)
Epoch: [46][2520/14090]	Time 0.735 (0.765)	Data 0.001 (0.003)	Loss 2.2622 (2.1764)	Prec@1 44.531 (45.010)	Prec@5 75.781 (75.658)
Epoch: [46][2530/14090]	Time 0.765 (0.765)	Data 0.001 (0.003)	Loss 2.2831 (2.1763)	Prec@1 44.531 (45.016)	Prec@5 74.219 (75.656)
Epoch: [46][2540/14090]	Time 0.754 (0.765)	Data 0.001 (0.003)	Loss 2.1724 (2.1766)	Prec@1 47.656 (45.013)	Prec@5 77.344 (75.653)
Epoch: [46][2550/14090]	Time 0.757 (0.765)	Data 0.001 (0.003)	Loss 2.0537 (2.1763)	Prec@1 47.656 (45.018)	Prec@5 78.125 (75.659)
Epoch: [46][2560/14090]	Time 0.755 (0.765)	Data 0.001 (0.003)	Loss 2.2816 (2.1763)	Prec@1 39.844 (45.023)	Prec@5 73.438 (75.656)
Epoch: [46][2570/14090]	Time 0.851 (0.765)	Data 0.001 (0.003)	Loss 2.0158 (2.1762)	Prec@1 49.219 (45.022)	Prec@5 76.562 (75.662)
Epoch: [46][2580/14090]	Time 0.735 (0.765)	Data 0.001 (0.003)	Loss 2.0857 (2.1762)	Prec@1 43.750 (45.013)	Prec@5 77.344 (75.663)
Epoch: [46][2590/14090]	Time 0.741 (0.765)	Data 0.001 (0.003)	Loss 2.0541 (2.1760)	Prec@1 42.188 (45.010)	Prec@5 80.469 (75.670)
Epoch: [46][2600/14090]	Time 0.757 (0.765)	Data 0.001 (0.003)	Loss 1.7174 (2.1761)	Prec@1 58.594 (45.018)	Prec@5 80.469 (75.666)
Epoch: [46][2610/14090]	Time 0.755 (0.765)	Data 0.001 (0.003)	Loss 1.9710 (2.1761)	Prec@1 52.344 (45.024)	Prec@5 78.906 (75.668)
Epoch: [46][2620/14090]	Time 0.722 (0.765)	Data 0.001 (0.003)	Loss 2.1976 (2.1761)	Prec@1 44.531 (45.021)	Prec@5 75.781 (75.668)
Epoch: [46][2630/14090]	Time 0.730 (0.765)	Data 0.001 (0.003)	Loss 2.1470 (2.1762)	Prec@1 44.531 (45.019)	Prec@5 73.438 (75.663)
Epoch: [46][2640/14090]	Time 0.878 (0.765)	Data 0.001 (0.003)	Loss 2.0381 (2.1761)	Prec@1 43.750 (45.016)	Prec@5 77.344 (75.664)
Epoch: [46][2650/14090]	Time 0.727 (0.765)	Data 0.001 (0.003)	Loss 2.3606 (2.1763)	Prec@1 42.188 (45.020)	Prec@5 69.531 (75.661)
Epoch: [46][2660/14090]	Time 0.724 (0.765)	Data 0.001 (0.003)	Loss 2.1488 (2.1765)	Prec@1 46.875 (45.017)	Prec@5 75.781 (75.662)
Epoch: [46][2670/14090]	Time 0.756 (0.765)	Data 0.001 (0.003)	Loss 2.1367 (2.1765)	Prec@1 45.312 (45.019)	Prec@5 78.125 (75.663)
Epoch: [46][2680/14090]	Time 0.749 (0.765)	Data 0.001 (0.003)	Loss 2.2589 (2.1765)	Prec@1 46.094 (45.020)	Prec@5 75.781 (75.660)
Epoch: [46][2690/14090]	Time 0.755 (0.765)	Data 0.001 (0.003)	Loss 2.2838 (2.1766)	Prec@1 43.750 (45.017)	Prec@5 71.875 (75.655)
Epoch: [46][2700/14090]	Time 0.760 (0.765)	Data 0.001 (0.003)	Loss 1.9961 (2.1767)	Prec@1 48.438 (45.015)	Prec@5 78.125 (75.656)
Epoch: [46][2710/14090]	Time 0.864 (0.765)	Data 0.001 (0.003)	Loss 2.3495 (2.1769)	Prec@1 45.312 (45.013)	Prec@5 71.875 (75.650)
Epoch: [46][2720/14090]	Time 0.729 (0.765)	Data 0.001 (0.003)	Loss 2.0051 (2.1769)	Prec@1 49.219 (45.015)	Prec@5 80.469 (75.652)
Epoch: [46][2730/14090]	Time 0.737 (0.765)	Data 0.001 (0.003)	Loss 2.1375 (2.1768)	Prec@1 46.875 (45.015)	Prec@5 77.344 (75.655)
Epoch: [46][2740/14090]	Time 0.743 (0.765)	Data 0.001 (0.003)	Loss 2.0305 (2.1769)	Prec@1 44.531 (45.010)	Prec@5 78.125 (75.653)
Epoch: [46][2750/14090]	Time 0.746 (0.765)	Data 0.001 (0.003)	Loss 2.2131 (2.1767)	Prec@1 49.219 (45.014)	Prec@5 77.344 (75.661)
Epoch: [46][2760/14090]	Time 0.726 (0.765)	Data 0.001 (0.003)	Loss 2.3511 (2.1767)	Prec@1 36.719 (45.012)	Prec@5 76.562 (75.662)
Epoch: [46][2770/14090]	Time 0.756 (0.765)	Data 0.001 (0.003)	Loss 2.1372 (2.1765)	Prec@1 43.750 (45.007)	Prec@5 76.562 (75.670)
Epoch: [46][2780/14090]	Time 0.853 (0.765)	Data 0.001 (0.003)	Loss 2.1499 (2.1769)	Prec@1 44.531 (45.002)	Prec@5 76.562 (75.660)
Epoch: [46][2790/14090]	Time 0.746 (0.765)	Data 0.001 (0.003)	Loss 2.2218 (2.1771)	Prec@1 43.750 (44.995)	Prec@5 76.562 (75.657)
Epoch: [46][2800/14090]	Time 0.762 (0.765)	Data 0.001 (0.003)	Loss 2.0225 (2.1771)	Prec@1 47.656 (44.992)	Prec@5 79.688 (75.662)
Epoch: [46][2810/14090]	Time 0.754 (0.765)	Data 0.001 (0.003)	Loss 2.3891 (2.1768)	Prec@1 45.312 (44.997)	Prec@5 67.969 (75.668)
Epoch: [46][2820/14090]	Time 0.757 (0.765)	Data 0.001 (0.003)	Loss 2.2560 (2.1770)	Prec@1 49.219 (44.995)	Prec@5 73.438 (75.660)
Epoch: [46][2830/14090]	Time 0.753 (0.765)	Data 0.001 (0.003)	Loss 2.2811 (2.1771)	Prec@1 42.969 (44.993)	Prec@5 74.219 (75.656)
Epoch: [46][2840/14090]	Time 0.764 (0.765)	Data 0.001 (0.003)	Loss 2.2268 (2.1772)	Prec@1 43.750 (44.986)	Prec@5 75.000 (75.657)
Epoch: [46][2850/14090]	Time 0.815 (0.765)	Data 0.001 (0.003)	Loss 1.9818 (2.1774)	Prec@1 50.000 (44.991)	Prec@5 77.344 (75.650)
Epoch: [46][2860/14090]	Time 0.737 (0.765)	Data 0.002 (0.003)	Loss 2.2943 (2.1778)	Prec@1 43.750 (44.981)	Prec@5 68.750 (75.639)
Epoch: [46][2870/14090]	Time 0.725 (0.765)	Data 0.001 (0.003)	Loss 2.4658 (2.1780)	Prec@1 38.281 (44.977)	Prec@5 71.094 (75.635)
Epoch: [46][2880/14090]	Time 0.756 (0.765)	Data 0.001 (0.003)	Loss 2.2466 (2.1780)	Prec@1 40.625 (44.976)	Prec@5 77.344 (75.633)
Epoch: [46][2890/14090]	Time 0.738 (0.765)	Data 0.001 (0.003)	Loss 2.2112 (2.1777)	Prec@1 43.750 (44.983)	Prec@5 72.656 (75.640)
Epoch: [46][2900/14090]	Time 0.762 (0.765)	Data 0.001 (0.003)	Loss 2.3478 (2.1777)	Prec@1 39.062 (44.984)	Prec@5 73.438 (75.641)
Epoch: [46][2910/14090]	Time 0.717 (0.765)	Data 0.001 (0.003)	Loss 2.3474 (2.1777)	Prec@1 37.500 (44.984)	Prec@5 66.406 (75.637)
Epoch: [46][2920/14090]	Time 0.844 (0.765)	Data 0.001 (0.003)	Loss 2.1216 (2.1778)	Prec@1 49.219 (44.990)	Prec@5 78.906 (75.637)
Epoch: [46][2930/14090]	Time 0.729 (0.765)	Data 0.001 (0.003)	Loss 2.2907 (2.1781)	Prec@1 44.531 (44.988)	Prec@5 72.656 (75.629)
Epoch: [46][2940/14090]	Time 0.726 (0.765)	Data 0.001 (0.003)	Loss 1.9265 (2.1783)	Prec@1 53.125 (44.981)	Prec@5 80.469 (75.627)
Epoch: [46][2950/14090]	Time 0.730 (0.765)	Data 0.001 (0.003)	Loss 2.3378 (2.1783)	Prec@1 38.281 (44.976)	Prec@5 71.094 (75.630)
Epoch: [46][2960/14090]	Time 0.740 (0.765)	Data 0.001 (0.003)	Loss 1.8042 (2.1782)	Prec@1 55.469 (44.977)	Prec@5 82.812 (75.629)
Epoch: [46][2970/14090]	Time 0.725 (0.765)	Data 0.001 (0.003)	Loss 1.9794 (2.1782)	Prec@1 51.562 (44.978)	Prec@5 82.031 (75.634)
Epoch: [46][2980/14090]	Time 0.722 (0.765)	Data 0.001 (0.003)	Loss 1.8972 (2.1778)	Prec@1 52.344 (44.987)	Prec@5 81.250 (75.641)
Epoch: [46][2990/14090]	Time 0.835 (0.765)	Data 0.001 (0.003)	Loss 2.2109 (2.1779)	Prec@1 42.188 (44.984)	Prec@5 78.906 (75.643)
Epoch: [46][3000/14090]	Time 0.785 (0.765)	Data 0.001 (0.003)	Loss 2.0524 (2.1780)	Prec@1 46.875 (44.987)	Prec@5 80.469 (75.638)
Epoch: [46][3010/14090]	Time 0.729 (0.765)	Data 0.001 (0.003)	Loss 2.2053 (2.1783)	Prec@1 47.656 (44.983)	Prec@5 76.562 (75.637)
Epoch: [46][3020/14090]	Time 0.726 (0.765)	Data 0.001 (0.003)	Loss 2.1707 (2.1784)	Prec@1 44.531 (44.979)	Prec@5 74.219 (75.629)
Epoch: [46][3030/14090]	Time 0.754 (0.765)	Data 0.001 (0.003)	Loss 2.1194 (2.1784)	Prec@1 44.531 (44.981)	Prec@5 76.562 (75.630)
Epoch: [46][3040/14090]	Time 0.733 (0.765)	Data 0.001 (0.003)	Loss 2.4314 (2.1783)	Prec@1 45.312 (44.989)	Prec@5 70.312 (75.630)
Epoch: [46][3050/14090]	Time 0.723 (0.764)	Data 0.001 (0.003)	Loss 2.3790 (2.1787)	Prec@1 41.406 (44.983)	Prec@5 75.000 (75.625)
Epoch: [46][3060/14090]	Time 0.864 (0.765)	Data 0.001 (0.003)	Loss 2.2210 (2.1785)	Prec@1 44.531 (44.989)	Prec@5 74.219 (75.626)
Epoch: [46][3070/14090]	Time 0.751 (0.764)	Data 0.001 (0.003)	Loss 1.9327 (2.1785)	Prec@1 45.312 (44.991)	Prec@5 82.812 (75.632)
Epoch: [46][3080/14090]	Time 0.737 (0.764)	Data 0.001 (0.003)	Loss 2.2861 (2.1786)	Prec@1 42.188 (44.994)	Prec@5 70.312 (75.628)
Epoch: [46][3090/14090]	Time 0.727 (0.764)	Data 0.001 (0.003)	Loss 2.5073 (2.1787)	Prec@1 34.375 (44.989)	Prec@5 68.750 (75.624)
Epoch: [46][3100/14090]	Time 0.759 (0.764)	Data 0.002 (0.003)	Loss 2.0736 (2.1790)	Prec@1 48.438 (44.985)	Prec@5 80.469 (75.620)
Epoch: [46][3110/14090]	Time 0.730 (0.764)	Data 0.001 (0.003)	Loss 2.2971 (2.1790)	Prec@1 42.188 (44.982)	Prec@5 71.875 (75.620)
Epoch: [46][3120/14090]	Time 0.731 (0.764)	Data 0.001 (0.003)	Loss 2.5971 (2.1792)	Prec@1 32.812 (44.974)	Prec@5 64.062 (75.615)
Epoch: [46][3130/14090]	Time 0.852 (0.764)	Data 0.001 (0.003)	Loss 2.3531 (2.1794)	Prec@1 42.188 (44.976)	Prec@5 76.562 (75.611)
Epoch: [46][3140/14090]	Time 0.762 (0.764)	Data 0.001 (0.003)	Loss 2.3618 (2.1795)	Prec@1 40.625 (44.970)	Prec@5 72.656 (75.609)
Epoch: [46][3150/14090]	Time 0.726 (0.764)	Data 0.001 (0.003)	Loss 1.8644 (2.1797)	Prec@1 56.250 (44.969)	Prec@5 80.469 (75.608)
Epoch: [46][3160/14090]	Time 0.758 (0.764)	Data 0.001 (0.002)	Loss 2.0557 (2.1795)	Prec@1 47.656 (44.971)	Prec@5 79.688 (75.612)
Epoch: [46][3170/14090]	Time 0.722 (0.764)	Data 0.001 (0.002)	Loss 2.3544 (2.1795)	Prec@1 40.625 (44.966)	Prec@5 71.094 (75.612)
Epoch: [46][3180/14090]	Time 0.758 (0.764)	Data 0.001 (0.002)	Loss 2.0488 (2.1795)	Prec@1 51.562 (44.973)	Prec@5 75.000 (75.610)
Epoch: [46][3190/14090]	Time 0.760 (0.764)	Data 0.001 (0.002)	Loss 2.2544 (2.1793)	Prec@1 45.312 (44.979)	Prec@5 76.562 (75.613)
Epoch: [46][3200/14090]	Time 0.838 (0.764)	Data 0.003 (0.002)	Loss 2.4250 (2.1796)	Prec@1 39.844 (44.975)	Prec@5 71.875 (75.607)
Epoch: [46][3210/14090]	Time 0.744 (0.764)	Data 0.001 (0.002)	Loss 1.9514 (2.1797)	Prec@1 48.438 (44.975)	Prec@5 78.125 (75.605)
Epoch: [46][3220/14090]	Time 0.723 (0.764)	Data 0.001 (0.002)	Loss 2.5143 (2.1799)	Prec@1 35.938 (44.970)	Prec@5 67.969 (75.601)
Epoch: [46][3230/14090]	Time 0.740 (0.764)	Data 0.001 (0.002)	Loss 2.1076 (2.1801)	Prec@1 47.656 (44.967)	Prec@5 78.906 (75.596)
Epoch: [46][3240/14090]	Time 0.736 (0.764)	Data 0.001 (0.002)	Loss 2.2444 (2.1804)	Prec@1 47.656 (44.966)	Prec@5 73.438 (75.591)
Epoch: [46][3250/14090]	Time 0.755 (0.764)	Data 0.001 (0.002)	Loss 2.2817 (2.1804)	Prec@1 43.750 (44.970)	Prec@5 72.656 (75.591)
Epoch: [46][3260/14090]	Time 0.754 (0.764)	Data 0.001 (0.002)	Loss 2.1496 (2.1805)	Prec@1 50.000 (44.969)	Prec@5 74.219 (75.589)
Epoch: [46][3270/14090]	Time 0.865 (0.764)	Data 0.001 (0.002)	Loss 1.8171 (2.1804)	Prec@1 52.344 (44.973)	Prec@5 82.031 (75.590)
Epoch: [46][3280/14090]	Time 0.744 (0.764)	Data 0.001 (0.002)	Loss 1.8643 (2.1803)	Prec@1 52.344 (44.976)	Prec@5 80.469 (75.589)
Epoch: [46][3290/14090]	Time 0.736 (0.764)	Data 0.001 (0.002)	Loss 2.1874 (2.1806)	Prec@1 43.750 (44.973)	Prec@5 76.562 (75.581)
Epoch: [46][3300/14090]	Time 0.760 (0.764)	Data 0.001 (0.002)	Loss 2.3545 (2.1807)	Prec@1 32.812 (44.967)	Prec@5 71.875 (75.579)
Epoch: [46][3310/14090]	Time 0.724 (0.764)	Data 0.001 (0.002)	Loss 2.3246 (2.1810)	Prec@1 40.625 (44.961)	Prec@5 69.531 (75.572)
Epoch: [46][3320/14090]	Time 0.769 (0.764)	Data 0.001 (0.002)	Loss 2.1484 (2.1807)	Prec@1 45.312 (44.965)	Prec@5 78.125 (75.574)
Epoch: [46][3330/14090]	Time 0.756 (0.764)	Data 0.001 (0.002)	Loss 2.4026 (2.1808)	Prec@1 44.531 (44.966)	Prec@5 71.875 (75.571)
Epoch: [46][3340/14090]	Time 0.871 (0.764)	Data 0.001 (0.002)	Loss 2.1933 (2.1807)	Prec@1 44.531 (44.972)	Prec@5 76.562 (75.571)
Epoch: [46][3350/14090]	Time 0.731 (0.764)	Data 0.001 (0.002)	Loss 2.2042 (2.1807)	Prec@1 42.188 (44.970)	Prec@5 74.219 (75.575)
Epoch: [46][3360/14090]	Time 0.732 (0.764)	Data 0.001 (0.002)	Loss 2.1058 (2.1806)	Prec@1 50.000 (44.975)	Prec@5 76.562 (75.575)
Epoch: [46][3370/14090]	Time 0.753 (0.764)	Data 0.001 (0.002)	Loss 2.3813 (2.1804)	Prec@1 38.281 (44.974)	Prec@5 71.094 (75.580)
Epoch: [46][3380/14090]	Time 0.748 (0.764)	Data 0.001 (0.002)	Loss 2.0803 (2.1805)	Prec@1 48.438 (44.970)	Prec@5 78.906 (75.580)
Epoch: [46][3390/14090]	Time 0.717 (0.764)	Data 0.001 (0.002)	Loss 2.2956 (2.1807)	Prec@1 46.094 (44.968)	Prec@5 71.094 (75.575)
Epoch: [46][3400/14090]	Time 0.760 (0.764)	Data 0.001 (0.002)	Loss 2.2027 (2.1806)	Prec@1 42.188 (44.968)	Prec@5 75.781 (75.577)
Epoch: [46][3410/14090]	Time 0.868 (0.764)	Data 0.001 (0.002)	Loss 2.0263 (2.1806)	Prec@1 50.000 (44.972)	Prec@5 77.344 (75.577)
Epoch: [46][3420/14090]	Time 0.733 (0.764)	Data 0.001 (0.002)	Loss 2.2536 (2.1802)	Prec@1 43.750 (44.977)	Prec@5 74.219 (75.581)
Epoch: [46][3430/14090]	Time 0.758 (0.764)	Data 0.001 (0.002)	Loss 1.9152 (2.1802)	Prec@1 47.656 (44.972)	Prec@5 81.250 (75.581)
Epoch: [46][3440/14090]	Time 0.725 (0.764)	Data 0.001 (0.002)	Loss 2.0369 (2.1803)	Prec@1 51.562 (44.974)	Prec@5 75.781 (75.579)
Epoch: [46][3450/14090]	Time 0.756 (0.764)	Data 0.001 (0.002)	Loss 2.4956 (2.1804)	Prec@1 41.406 (44.976)	Prec@5 74.219 (75.574)
Epoch: [46][3460/14090]	Time 0.760 (0.764)	Data 0.001 (0.002)	Loss 2.1009 (2.1805)	Prec@1 45.312 (44.978)	Prec@5 78.125 (75.574)
Epoch: [46][3470/14090]	Time 0.728 (0.764)	Data 0.001 (0.002)	Loss 2.0935 (2.1805)	Prec@1 48.438 (44.978)	Prec@5 77.344 (75.573)
Epoch: [46][3480/14090]	Time 0.909 (0.764)	Data 0.001 (0.002)	Loss 2.2752 (2.1807)	Prec@1 45.312 (44.974)	Prec@5 69.531 (75.567)
Epoch: [46][3490/14090]	Time 0.751 (0.764)	Data 0.001 (0.002)	Loss 2.1798 (2.1806)	Prec@1 45.312 (44.978)	Prec@5 79.688 (75.565)
Epoch: [46][3500/14090]	Time 0.765 (0.764)	Data 0.001 (0.002)	Loss 2.4718 (2.1808)	Prec@1 42.969 (44.981)	Prec@5 71.875 (75.563)
Epoch: [46][3510/14090]	Time 0.751 (0.764)	Data 0.001 (0.002)	Loss 1.9650 (2.1807)	Prec@1 50.000 (44.980)	Prec@5 78.906 (75.562)
Epoch: [46][3520/14090]	Time 0.746 (0.764)	Data 0.001 (0.002)	Loss 2.1501 (2.1809)	Prec@1 48.438 (44.975)	Prec@5 75.781 (75.560)
Epoch: [46][3530/14090]	Time 0.747 (0.764)	Data 0.001 (0.002)	Loss 2.1275 (2.1811)	Prec@1 48.438 (44.973)	Prec@5 75.781 (75.555)
Epoch: [46][3540/14090]	Time 0.744 (0.764)	Data 0.001 (0.002)	Loss 2.0742 (2.1810)	Prec@1 46.094 (44.971)	Prec@5 80.469 (75.557)
Epoch: [46][3550/14090]	Time 0.880 (0.764)	Data 0.001 (0.002)	Loss 2.2337 (2.1812)	Prec@1 46.094 (44.970)	Prec@5 73.438 (75.552)
Epoch: [46][3560/14090]	Time 0.755 (0.764)	Data 0.001 (0.002)	Loss 2.0643 (2.1811)	Prec@1 46.875 (44.974)	Prec@5 79.688 (75.554)
Epoch: [46][3570/14090]	Time 0.752 (0.764)	Data 0.001 (0.002)	Loss 2.5131 (2.1814)	Prec@1 35.156 (44.967)	Prec@5 71.094 (75.548)
Epoch: [46][3580/14090]	Time 0.755 (0.764)	Data 0.001 (0.002)	Loss 2.4501 (2.1814)	Prec@1 35.156 (44.966)	Prec@5 71.094 (75.546)
Epoch: [46][3590/14090]	Time 0.725 (0.764)	Data 0.001 (0.002)	Loss 2.0134 (2.1813)	Prec@1 48.438 (44.967)	Prec@5 78.125 (75.549)
Epoch: [46][3600/14090]	Time 0.734 (0.764)	Data 0.001 (0.002)	Loss 2.0710 (2.1812)	Prec@1 45.312 (44.966)	Prec@5 80.469 (75.552)
Epoch: [46][3610/14090]	Time 0.766 (0.764)	Data 0.001 (0.002)	Loss 2.1996 (2.1814)	Prec@1 43.750 (44.958)	Prec@5 75.000 (75.551)
Epoch: [46][3620/14090]	Time 0.887 (0.764)	Data 0.001 (0.002)	Loss 2.2304 (2.1813)	Prec@1 44.531 (44.958)	Prec@5 70.312 (75.553)
Epoch: [46][3630/14090]	Time 0.748 (0.764)	Data 0.001 (0.002)	Loss 2.2074 (2.1812)	Prec@1 50.000 (44.967)	Prec@5 76.562 (75.556)
Epoch: [46][3640/14090]	Time 0.761 (0.764)	Data 0.001 (0.002)	Loss 2.3316 (2.1812)	Prec@1 37.500 (44.964)	Prec@5 73.438 (75.555)
Epoch: [46][3650/14090]	Time 0.748 (0.764)	Data 0.001 (0.002)	Loss 1.9658 (2.1812)	Prec@1 49.219 (44.965)	Prec@5 81.250 (75.557)
Epoch: [46][3660/14090]	Time 0.761 (0.764)	Data 0.001 (0.002)	Loss 2.2057 (2.1811)	Prec@1 44.531 (44.971)	Prec@5 78.125 (75.559)
Epoch: [46][3670/14090]	Time 0.764 (0.764)	Data 0.001 (0.002)	Loss 2.1607 (2.1811)	Prec@1 45.312 (44.973)	Prec@5 75.781 (75.557)
Epoch: [46][3680/14090]	Time 0.748 (0.764)	Data 0.002 (0.002)	Loss 2.1319 (2.1812)	Prec@1 42.188 (44.972)	Prec@5 78.125 (75.556)
Epoch: [46][3690/14090]	Time 0.807 (0.764)	Data 0.001 (0.002)	Loss 2.6016 (2.1815)	Prec@1 34.375 (44.963)	Prec@5 70.312 (75.553)
Epoch: [46][3700/14090]	Time 0.735 (0.764)	Data 0.001 (0.002)	Loss 2.0270 (2.1813)	Prec@1 49.219 (44.968)	Prec@5 75.000 (75.558)
Epoch: [46][3710/14090]	Time 0.744 (0.764)	Data 0.001 (0.002)	Loss 2.4632 (2.1815)	Prec@1 45.312 (44.966)	Prec@5 69.531 (75.551)
Epoch: [46][3720/14090]	Time 0.753 (0.764)	Data 0.001 (0.002)	Loss 2.3213 (2.1816)	Prec@1 39.062 (44.965)	Prec@5 74.219 (75.551)
Epoch: [46][3730/14090]	Time 0.766 (0.764)	Data 0.001 (0.002)	Loss 2.1951 (2.1818)	Prec@1 43.750 (44.961)	Prec@5 76.562 (75.548)
Epoch: [46][3740/14090]	Time 0.776 (0.764)	Data 0.001 (0.002)	Loss 2.2258 (2.1816)	Prec@1 42.969 (44.964)	Prec@5 73.438 (75.553)
Epoch: [46][3750/14090]	Time 0.726 (0.764)	Data 0.001 (0.002)	Loss 2.1494 (2.1816)	Prec@1 45.312 (44.967)	Prec@5 74.219 (75.552)
Epoch: [46][3760/14090]	Time 0.889 (0.764)	Data 0.001 (0.002)	Loss 2.1295 (2.1815)	Prec@1 47.656 (44.966)	Prec@5 76.562 (75.552)
Epoch: [46][3770/14090]	Time 0.719 (0.764)	Data 0.001 (0.002)	Loss 2.0325 (2.1814)	Prec@1 46.875 (44.970)	Prec@5 79.688 (75.550)
Epoch: [46][3780/14090]	Time 0.757 (0.764)	Data 0.001 (0.002)	Loss 2.2161 (2.1815)	Prec@1 42.188 (44.970)	Prec@5 77.344 (75.548)
Epoch: [46][3790/14090]	Time 0.741 (0.764)	Data 0.001 (0.002)	Loss 2.4209 (2.1815)	Prec@1 39.062 (44.974)	Prec@5 72.656 (75.546)
Epoch: [46][3800/14090]	Time 0.751 (0.764)	Data 0.001 (0.002)	Loss 2.1498 (2.1817)	Prec@1 50.781 (44.972)	Prec@5 73.438 (75.539)
Epoch: [46][3810/14090]	Time 0.725 (0.764)	Data 0.001 (0.002)	Loss 2.0848 (2.1819)	Prec@1 45.312 (44.967)	Prec@5 76.562 (75.536)
Epoch: [46][3820/14090]	Time 0.733 (0.764)	Data 0.001 (0.002)	Loss 2.1218 (2.1818)	Prec@1 50.781 (44.970)	Prec@5 77.344 (75.538)
Epoch: [46][3830/14090]	Time 0.870 (0.764)	Data 0.001 (0.002)	Loss 2.2290 (2.1818)	Prec@1 41.406 (44.969)	Prec@5 71.875 (75.538)
Epoch: [46][3840/14090]	Time 0.755 (0.764)	Data 0.001 (0.002)	Loss 2.1660 (2.1817)	Prec@1 47.656 (44.971)	Prec@5 77.344 (75.543)
Epoch: [46][3850/14090]	Time 0.767 (0.764)	Data 0.001 (0.002)	Loss 2.0392 (2.1818)	Prec@1 44.531 (44.963)	Prec@5 77.344 (75.542)
Epoch: [46][3860/14090]	Time 0.738 (0.764)	Data 0.001 (0.002)	Loss 2.3765 (2.1816)	Prec@1 43.750 (44.970)	Prec@5 73.438 (75.547)
Epoch: [46][3870/14090]	Time 0.748 (0.764)	Data 0.001 (0.002)	Loss 2.2848 (2.1815)	Prec@1 44.531 (44.974)	Prec@5 76.562 (75.549)
Epoch: [46][3880/14090]	Time 0.755 (0.764)	Data 0.001 (0.002)	Loss 2.0153 (2.1815)	Prec@1 49.219 (44.975)	Prec@5 80.469 (75.546)
Epoch: [46][3890/14090]	Time 0.725 (0.764)	Data 0.001 (0.002)	Loss 2.1624 (2.1816)	Prec@1 51.562 (44.978)	Prec@5 74.219 (75.542)
Epoch: [46][3900/14090]	Time 0.871 (0.764)	Data 0.001 (0.002)	Loss 1.9618 (2.1815)	Prec@1 52.344 (44.981)	Prec@5 82.812 (75.544)
Epoch: [46][3910/14090]	Time 0.732 (0.764)	Data 0.001 (0.002)	Loss 1.9415 (2.1815)	Prec@1 50.781 (44.982)	Prec@5 81.250 (75.547)
Epoch: [46][3920/14090]	Time 0.746 (0.764)	Data 0.001 (0.002)	Loss 2.1985 (2.1814)	Prec@1 43.750 (44.984)	Prec@5 74.219 (75.549)
Epoch: [46][3930/14090]	Time 0.753 (0.764)	Data 0.001 (0.002)	Loss 2.0059 (2.1814)	Prec@1 43.750 (44.984)	Prec@5 82.031 (75.551)
Epoch: [46][3940/14090]	Time 0.748 (0.764)	Data 0.001 (0.002)	Loss 2.2234 (2.1814)	Prec@1 50.000 (44.980)	Prec@5 75.000 (75.551)
Epoch: [46][3950/14090]	Time 0.766 (0.764)	Data 0.001 (0.002)	Loss 2.2515 (2.1814)	Prec@1 47.656 (44.981)	Prec@5 76.562 (75.551)
Epoch: [46][3960/14090]	Time 0.720 (0.764)	Data 0.001 (0.002)	Loss 2.6138 (2.1815)	Prec@1 40.625 (44.981)	Prec@5 67.188 (75.547)
Epoch: [46][3970/14090]	Time 0.888 (0.764)	Data 0.001 (0.002)	Loss 2.0230 (2.1816)	Prec@1 47.656 (44.980)	Prec@5 80.469 (75.545)
Epoch: [46][3980/14090]	Time 0.732 (0.764)	Data 0.001 (0.002)	Loss 2.2046 (2.1817)	Prec@1 45.312 (44.977)	Prec@5 71.094 (75.545)
Epoch: [46][3990/14090]	Time 0.776 (0.764)	Data 0.001 (0.002)	Loss 2.1138 (2.1820)	Prec@1 49.219 (44.974)	Prec@5 74.219 (75.541)
Epoch: [46][4000/14090]	Time 0.743 (0.764)	Data 0.001 (0.002)	Loss 2.1312 (2.1820)	Prec@1 50.000 (44.975)	Prec@5 79.688 (75.541)
Epoch: [46][4010/14090]	Time 0.753 (0.764)	Data 0.001 (0.002)	Loss 2.0907 (2.1821)	Prec@1 46.875 (44.973)	Prec@5 81.250 (75.540)
Epoch: [46][4020/14090]	Time 0.744 (0.764)	Data 0.001 (0.002)	Loss 2.0440 (2.1822)	Prec@1 47.656 (44.971)	Prec@5 78.906 (75.537)
Epoch: [46][4030/14090]	Time 0.755 (0.764)	Data 0.001 (0.002)	Loss 2.0392 (2.1822)	Prec@1 51.562 (44.974)	Prec@5 78.906 (75.536)
Epoch: [46][4040/14090]	Time 0.830 (0.764)	Data 0.001 (0.002)	Loss 2.0412 (2.1823)	Prec@1 47.656 (44.970)	Prec@5 78.906 (75.535)
Epoch: [46][4050/14090]	Time 0.735 (0.764)	Data 0.001 (0.002)	Loss 2.0998 (2.1823)	Prec@1 39.844 (44.967)	Prec@5 76.562 (75.533)
Epoch: [46][4060/14090]	Time 0.731 (0.764)	Data 0.001 (0.002)	Loss 2.2257 (2.1823)	Prec@1 41.406 (44.963)	Prec@5 70.312 (75.528)
Epoch: [46][4070/14090]	Time 0.778 (0.764)	Data 0.001 (0.002)	Loss 1.9065 (2.1824)	Prec@1 49.219 (44.965)	Prec@5 81.250 (75.528)
Epoch: [46][4080/14090]	Time 0.751 (0.764)	Data 0.001 (0.002)	Loss 2.1488 (2.1824)	Prec@1 46.094 (44.964)	Prec@5 75.000 (75.525)
Epoch: [46][4090/14090]	Time 0.745 (0.764)	Data 0.001 (0.002)	Loss 2.3600 (2.1825)	Prec@1 39.062 (44.964)	Prec@5 72.656 (75.524)
Epoch: [46][4100/14090]	Time 0.744 (0.764)	Data 0.001 (0.002)	Loss 2.2709 (2.1825)	Prec@1 45.312 (44.963)	Prec@5 72.656 (75.523)
Epoch: [46][4110/14090]	Time 0.867 (0.764)	Data 0.001 (0.002)	Loss 2.1737 (2.1825)	Prec@1 48.438 (44.963)	Prec@5 73.438 (75.519)
Epoch: [46][4120/14090]	Time 0.727 (0.764)	Data 0.001 (0.002)	Loss 2.3518 (2.1827)	Prec@1 42.188 (44.960)	Prec@5 72.656 (75.517)
Epoch: [46][4130/14090]	Time 0.746 (0.764)	Data 0.001 (0.002)	Loss 2.2725 (2.1828)	Prec@1 50.781 (44.962)	Prec@5 71.875 (75.515)
Epoch: [46][4140/14090]	Time 0.773 (0.764)	Data 0.001 (0.002)	Loss 2.2314 (2.1829)	Prec@1 42.969 (44.965)	Prec@5 71.875 (75.511)
Epoch: [46][4150/14090]	Time 0.750 (0.764)	Data 0.001 (0.002)	Loss 2.3331 (2.1831)	Prec@1 42.188 (44.963)	Prec@5 69.531 (75.508)
Epoch: [46][4160/14090]	Time 0.727 (0.764)	Data 0.001 (0.002)	Loss 2.2354 (2.1829)	Prec@1 38.281 (44.967)	Prec@5 71.094 (75.510)
Epoch: [46][4170/14090]	Time 0.765 (0.764)	Data 0.001 (0.002)	Loss 2.2103 (2.1830)	Prec@1 46.875 (44.967)	Prec@5 77.344 (75.507)
Epoch: [46][4180/14090]	Time 0.892 (0.764)	Data 0.001 (0.002)	Loss 2.0915 (2.1830)	Prec@1 50.000 (44.968)	Prec@5 75.781 (75.506)
Epoch: [46][4190/14090]	Time 0.732 (0.764)	Data 0.001 (0.002)	Loss 2.2267 (2.1831)	Prec@1 40.625 (44.966)	Prec@5 73.438 (75.507)
Epoch: [46][4200/14090]	Time 0.757 (0.764)	Data 0.001 (0.002)	Loss 2.1975 (2.1830)	Prec@1 42.969 (44.968)	Prec@5 76.562 (75.508)
Epoch: [46][4210/14090]	Time 0.730 (0.764)	Data 0.001 (0.002)	Loss 1.6571 (2.1829)	Prec@1 60.938 (44.977)	Prec@5 87.500 (75.509)
Epoch: [46][4220/14090]	Time 0.768 (0.764)	Data 0.001 (0.002)	Loss 2.2147 (2.1830)	Prec@1 46.094 (44.975)	Prec@5 78.125 (75.509)
Epoch: [46][4230/14090]	Time 0.757 (0.764)	Data 0.001 (0.002)	Loss 2.3052 (2.1830)	Prec@1 40.625 (44.973)	Prec@5 73.438 (75.509)
Epoch: [46][4240/14090]	Time 0.756 (0.764)	Data 0.001 (0.002)	Loss 2.2210 (2.1830)	Prec@1 42.969 (44.972)	Prec@5 71.094 (75.509)
Epoch: [46][4250/14090]	Time 0.859 (0.764)	Data 0.001 (0.002)	Loss 2.4359 (2.1833)	Prec@1 39.844 (44.962)	Prec@5 71.875 (75.502)
Epoch: [46][4260/14090]	Time 0.737 (0.764)	Data 0.001 (0.002)	Loss 2.2910 (2.1832)	Prec@1 45.312 (44.965)	Prec@5 71.875 (75.501)
Epoch: [46][4270/14090]	Time 0.727 (0.764)	Data 0.001 (0.002)	Loss 2.1314 (2.1833)	Prec@1 44.531 (44.965)	Prec@5 77.344 (75.498)
Epoch: [46][4280/14090]	Time 0.743 (0.764)	Data 0.001 (0.002)	Loss 1.8994 (2.1833)	Prec@1 53.125 (44.966)	Prec@5 82.812 (75.499)
Epoch: [46][4290/14090]	Time 0.722 (0.764)	Data 0.001 (0.002)	Loss 2.0328 (2.1831)	Prec@1 43.750 (44.971)	Prec@5 82.031 (75.503)
Epoch: [46][4300/14090]	Time 0.734 (0.764)	Data 0.001 (0.002)	Loss 2.1459 (2.1833)	Prec@1 43.750 (44.966)	Prec@5 75.781 (75.499)
Epoch: [46][4310/14090]	Time 0.757 (0.764)	Data 0.001 (0.002)	Loss 2.1795 (2.1834)	Prec@1 49.219 (44.965)	Prec@5 75.781 (75.497)
Epoch: [46][4320/14090]	Time 0.869 (0.764)	Data 0.001 (0.002)	Loss 2.0537 (2.1834)	Prec@1 46.094 (44.968)	Prec@5 78.906 (75.496)
Epoch: [46][4330/14090]	Time 0.732 (0.764)	Data 0.001 (0.002)	Loss 2.0603 (2.1833)	Prec@1 50.000 (44.974)	Prec@5 77.344 (75.497)
Epoch: [46][4340/14090]	Time 0.728 (0.764)	Data 0.001 (0.002)	Loss 2.0430 (2.1834)	Prec@1 46.875 (44.975)	Prec@5 78.125 (75.496)
Epoch: [46][4350/14090]	Time 0.756 (0.764)	Data 0.001 (0.002)	Loss 2.2202 (2.1832)	Prec@1 48.438 (44.979)	Prec@5 71.875 (75.500)
Epoch: [46][4360/14090]	Time 0.759 (0.764)	Data 0.001 (0.002)	Loss 2.1976 (2.1832)	Prec@1 46.875 (44.979)	Prec@5 71.094 (75.498)
Epoch: [46][4370/14090]	Time 0.761 (0.764)	Data 0.001 (0.002)	Loss 2.3442 (2.1832)	Prec@1 42.969 (44.977)	Prec@5 72.656 (75.495)
Epoch: [46][4380/14090]	Time 0.725 (0.764)	Data 0.001 (0.002)	Loss 2.1697 (2.1832)	Prec@1 45.312 (44.977)	Prec@5 75.781 (75.498)
Epoch: [46][4390/14090]	Time 0.885 (0.764)	Data 0.001 (0.002)	Loss 2.0499 (2.1831)	Prec@1 42.188 (44.978)	Prec@5 77.344 (75.500)
Epoch: [46][4400/14090]	Time 0.753 (0.764)	Data 0.001 (0.002)	Loss 2.1770 (2.1831)	Prec@1 39.844 (44.978)	Prec@5 77.344 (75.500)
Epoch: [46][4410/14090]	Time 0.748 (0.764)	Data 0.001 (0.002)	Loss 2.4313 (2.1832)	Prec@1 46.094 (44.977)	Prec@5 71.875 (75.498)
Epoch: [46][4420/14090]	Time 0.733 (0.764)	Data 0.001 (0.002)	Loss 2.3899 (2.1832)	Prec@1 39.062 (44.975)	Prec@5 75.000 (75.498)
Epoch: [46][4430/14090]	Time 0.737 (0.764)	Data 0.001 (0.002)	Loss 2.1142 (2.1833)	Prec@1 44.531 (44.972)	Prec@5 81.250 (75.499)
Epoch: [46][4440/14090]	Time 0.756 (0.764)	Data 0.001 (0.002)	Loss 1.8804 (2.1832)	Prec@1 46.875 (44.972)	Prec@5 82.031 (75.502)
Epoch: [46][4450/14090]	Time 0.730 (0.764)	Data 0.001 (0.002)	Loss 2.1008 (2.1830)	Prec@1 46.875 (44.972)	Prec@5 77.344 (75.507)
Epoch: [46][4460/14090]	Time 0.830 (0.764)	Data 0.001 (0.002)	Loss 2.2223 (2.1833)	Prec@1 41.406 (44.970)	Prec@5 76.562 (75.503)
Epoch: [46][4470/14090]	Time 0.740 (0.764)	Data 0.001 (0.002)	Loss 2.1825 (2.1835)	Prec@1 41.406 (44.964)	Prec@5 75.781 (75.500)
Epoch: [46][4480/14090]	Time 0.739 (0.764)	Data 0.001 (0.002)	Loss 2.0219 (2.1836)	Prec@1 49.219 (44.962)	Prec@5 77.344 (75.497)
Epoch: [46][4490/14090]	Time 0.743 (0.764)	Data 0.001 (0.002)	Loss 2.3249 (2.1837)	Prec@1 42.969 (44.956)	Prec@5 71.094 (75.493)
Epoch: [46][4500/14090]	Time 0.734 (0.764)	Data 0.001 (0.002)	Loss 2.0993 (2.1838)	Prec@1 46.875 (44.953)	Prec@5 75.781 (75.492)
Epoch: [46][4510/14090]	Time 0.762 (0.764)	Data 0.001 (0.002)	Loss 2.0804 (2.1838)	Prec@1 42.969 (44.949)	Prec@5 78.125 (75.493)
Epoch: [46][4520/14090]	Time 0.768 (0.764)	Data 0.001 (0.002)	Loss 2.2962 (2.1841)	Prec@1 37.500 (44.941)	Prec@5 72.656 (75.490)
Epoch: [46][4530/14090]	Time 0.855 (0.764)	Data 0.001 (0.002)	Loss 2.4003 (2.1839)	Prec@1 40.625 (44.946)	Prec@5 72.656 (75.491)
Epoch: [46][4540/14090]	Time 0.723 (0.764)	Data 0.001 (0.002)	Loss 2.0918 (2.1840)	Prec@1 44.531 (44.946)	Prec@5 78.906 (75.489)
Epoch: [46][4550/14090]	Time 0.759 (0.764)	Data 0.001 (0.002)	Loss 2.0192 (2.1841)	Prec@1 43.750 (44.945)	Prec@5 79.688 (75.487)
Epoch: [46][4560/14090]	Time 0.750 (0.764)	Data 0.001 (0.002)	Loss 2.2275 (2.1841)	Prec@1 42.188 (44.945)	Prec@5 72.656 (75.487)
Epoch: [46][4570/14090]	Time 0.767 (0.764)	Data 0.001 (0.002)	Loss 2.0281 (2.1838)	Prec@1 48.438 (44.953)	Prec@5 81.250 (75.492)
Epoch: [46][4580/14090]	Time 0.745 (0.764)	Data 0.001 (0.002)	Loss 2.5148 (2.1839)	Prec@1 39.844 (44.952)	Prec@5 68.750 (75.489)
Epoch: [46][4590/14090]	Time 0.740 (0.764)	Data 0.001 (0.002)	Loss 2.2933 (2.1841)	Prec@1 42.188 (44.951)	Prec@5 73.438 (75.484)
Epoch: [46][4600/14090]	Time 0.879 (0.764)	Data 0.001 (0.002)	Loss 2.1398 (2.1842)	Prec@1 44.531 (44.948)	Prec@5 77.344 (75.482)
Epoch: [46][4610/14090]	Time 0.769 (0.764)	Data 0.001 (0.002)	Loss 2.2375 (2.1843)	Prec@1 46.875 (44.949)	Prec@5 74.219 (75.481)
Epoch: [46][4620/14090]	Time 0.747 (0.764)	Data 0.001 (0.002)	Loss 1.9979 (2.1844)	Prec@1 46.094 (44.947)	Prec@5 78.906 (75.478)
Epoch: [46][4630/14090]	Time 0.736 (0.764)	Data 0.001 (0.002)	Loss 2.4388 (2.1845)	Prec@1 36.719 (44.943)	Prec@5 69.531 (75.479)
Epoch: [46][4640/14090]	Time 0.748 (0.764)	Data 0.001 (0.002)	Loss 2.0929 (2.1844)	Prec@1 50.000 (44.946)	Prec@5 77.344 (75.480)
Epoch: [46][4650/14090]	Time 0.758 (0.764)	Data 0.001 (0.002)	Loss 2.2601 (2.1845)	Prec@1 45.312 (44.948)	Prec@5 72.656 (75.481)
Epoch: [46][4660/14090]	Time 0.735 (0.764)	Data 0.001 (0.002)	Loss 2.4916 (2.1846)	Prec@1 34.375 (44.948)	Prec@5 67.188 (75.478)
Epoch: [46][4670/14090]	Time 0.883 (0.764)	Data 0.001 (0.002)	Loss 2.3253 (2.1848)	Prec@1 47.656 (44.945)	Prec@5 75.000 (75.473)
Epoch: [46][4680/14090]	Time 0.739 (0.764)	Data 0.001 (0.002)	Loss 2.2532 (2.1848)	Prec@1 42.188 (44.943)	Prec@5 71.875 (75.474)
Epoch: [46][4690/14090]	Time 0.733 (0.764)	Data 0.001 (0.002)	Loss 2.1810 (2.1847)	Prec@1 39.062 (44.940)	Prec@5 75.781 (75.476)
Epoch: [46][4700/14090]	Time 0.752 (0.764)	Data 0.001 (0.002)	Loss 2.0305 (2.1846)	Prec@1 42.188 (44.938)	Prec@5 82.812 (75.477)
Epoch: [46][4710/14090]	Time 0.748 (0.764)	Data 0.001 (0.002)	Loss 2.3471 (2.1846)	Prec@1 39.062 (44.939)	Prec@5 69.531 (75.478)
Epoch: [46][4720/14090]	Time 0.755 (0.764)	Data 0.002 (0.002)	Loss 2.2136 (2.1847)	Prec@1 41.406 (44.941)	Prec@5 78.125 (75.478)
Epoch: [46][4730/14090]	Time 0.757 (0.764)	Data 0.001 (0.002)	Loss 2.3845 (2.1847)	Prec@1 37.500 (44.941)	Prec@5 72.656 (75.479)
Epoch: [46][4740/14090]	Time 0.885 (0.764)	Data 0.001 (0.002)	Loss 2.1775 (2.1846)	Prec@1 38.281 (44.942)	Prec@5 75.781 (75.480)
Epoch: [46][4750/14090]	Time 0.728 (0.764)	Data 0.001 (0.002)	Loss 2.3925 (2.1846)	Prec@1 42.188 (44.943)	Prec@5 69.531 (75.477)
Epoch: [46][4760/14090]	Time 0.725 (0.764)	Data 0.001 (0.002)	Loss 1.9722 (2.1846)	Prec@1 46.094 (44.940)	Prec@5 77.344 (75.478)
Epoch: [46][4770/14090]	Time 0.729 (0.764)	Data 0.001 (0.002)	Loss 2.2020 (2.1846)	Prec@1 46.094 (44.941)	Prec@5 76.562 (75.477)
Epoch: [46][4780/14090]	Time 0.744 (0.764)	Data 0.001 (0.002)	Loss 2.5204 (2.1847)	Prec@1 37.500 (44.939)	Prec@5 68.750 (75.476)
Epoch: [46][4790/14090]	Time 0.727 (0.764)	Data 0.001 (0.002)	Loss 2.4493 (2.1846)	Prec@1 36.719 (44.939)	Prec@5 67.969 (75.476)
Epoch: [46][4800/14090]	Time 0.745 (0.764)	Data 0.001 (0.002)	Loss 2.3226 (2.1846)	Prec@1 39.062 (44.941)	Prec@5 70.312 (75.475)
Epoch: [46][4810/14090]	Time 0.892 (0.764)	Data 0.001 (0.002)	Loss 2.0844 (2.1846)	Prec@1 47.656 (44.940)	Prec@5 77.344 (75.475)
Epoch: [46][4820/14090]	Time 0.739 (0.764)	Data 0.001 (0.002)	Loss 2.2756 (2.1847)	Prec@1 42.969 (44.935)	Prec@5 74.219 (75.474)
Epoch: [46][4830/14090]	Time 0.738 (0.764)	Data 0.001 (0.002)	Loss 2.1092 (2.1847)	Prec@1 47.656 (44.932)	Prec@5 74.219 (75.473)
Epoch: [46][4840/14090]	Time 0.722 (0.764)	Data 0.001 (0.002)	Loss 2.2319 (2.1847)	Prec@1 39.062 (44.935)	Prec@5 79.688 (75.475)
Epoch: [46][4850/14090]	Time 0.745 (0.764)	Data 0.001 (0.002)	Loss 2.1983 (2.1848)	Prec@1 40.625 (44.937)	Prec@5 80.469 (75.472)
Epoch: [46][4860/14090]	Time 0.741 (0.764)	Data 0.001 (0.002)	Loss 2.3128 (2.1847)	Prec@1 37.500 (44.938)	Prec@5 74.219 (75.473)
Epoch: [46][4870/14090]	Time 0.727 (0.764)	Data 0.001 (0.002)	Loss 2.3778 (2.1847)	Prec@1 46.094 (44.937)	Prec@5 71.094 (75.473)
Epoch: [46][4880/14090]	Time 0.818 (0.764)	Data 0.001 (0.002)	Loss 1.9730 (2.1846)	Prec@1 45.312 (44.938)	Prec@5 78.125 (75.476)
Epoch: [46][4890/14090]	Time 0.742 (0.764)	Data 0.001 (0.002)	Loss 2.2663 (2.1845)	Prec@1 46.094 (44.938)	Prec@5 77.344 (75.479)
Epoch: [46][4900/14090]	Time 0.747 (0.764)	Data 0.001 (0.002)	Loss 2.0951 (2.1845)	Prec@1 47.656 (44.939)	Prec@5 76.562 (75.477)
Epoch: [46][4910/14090]	Time 0.755 (0.764)	Data 0.001 (0.002)	Loss 2.3218 (2.1847)	Prec@1 46.094 (44.937)	Prec@5 69.531 (75.475)
Epoch: [46][4920/14090]	Time 0.719 (0.764)	Data 0.001 (0.002)	Loss 2.2461 (2.1847)	Prec@1 42.188 (44.935)	Prec@5 73.438 (75.473)
Epoch: [46][4930/14090]	Time 0.754 (0.764)	Data 0.001 (0.002)	Loss 2.3401 (2.1849)	Prec@1 32.812 (44.927)	Prec@5 73.438 (75.470)
Epoch: [46][4940/14090]	Time 0.741 (0.764)	Data 0.001 (0.002)	Loss 2.3616 (2.1849)	Prec@1 39.062 (44.926)	Prec@5 64.844 (75.467)
Epoch: [46][4950/14090]	Time 0.854 (0.764)	Data 0.001 (0.002)	Loss 1.8825 (2.1848)	Prec@1 48.438 (44.926)	Prec@5 81.250 (75.468)
Epoch: [46][4960/14090]	Time 0.757 (0.764)	Data 0.001 (0.002)	Loss 2.1384 (2.1847)	Prec@1 48.438 (44.928)	Prec@5 77.344 (75.472)
Epoch: [46][4970/14090]	Time 0.734 (0.764)	Data 0.001 (0.002)	Loss 1.9686 (2.1847)	Prec@1 48.438 (44.930)	Prec@5 78.125 (75.471)
Epoch: [46][4980/14090]	Time 0.733 (0.764)	Data 0.001 (0.002)	Loss 2.2254 (2.1849)	Prec@1 44.531 (44.925)	Prec@5 73.438 (75.468)
Epoch: [46][4990/14090]	Time 0.733 (0.764)	Data 0.001 (0.002)	Loss 2.4006 (2.1849)	Prec@1 39.844 (44.925)	Prec@5 73.438 (75.469)
Epoch: [46][5000/14090]	Time 0.737 (0.764)	Data 0.001 (0.002)	Loss 2.0985 (2.1848)	Prec@1 48.438 (44.927)	Prec@5 78.906 (75.471)
Epoch: [46][5010/14090]	Time 0.742 (0.764)	Data 0.001 (0.002)	Loss 2.3350 (2.1849)	Prec@1 42.188 (44.925)	Prec@5 68.750 (75.471)
Epoch: [46][5020/14090]	Time 0.868 (0.764)	Data 0.001 (0.002)	Loss 1.9111 (2.1847)	Prec@1 47.656 (44.926)	Prec@5 79.688 (75.472)
Epoch: [46][5030/14090]	Time 0.728 (0.764)	Data 0.001 (0.002)	Loss 2.1097 (2.1847)	Prec@1 42.969 (44.927)	Prec@5 79.688 (75.474)
Epoch: [46][5040/14090]	Time 0.740 (0.764)	Data 0.001 (0.002)	Loss 2.0216 (2.1846)	Prec@1 51.562 (44.929)	Prec@5 79.688 (75.474)
Epoch: [46][5050/14090]	Time 0.752 (0.764)	Data 0.001 (0.002)	Loss 1.9897 (2.1846)	Prec@1 50.000 (44.929)	Prec@5 80.469 (75.475)
Epoch: [46][5060/14090]	Time 0.762 (0.764)	Data 0.001 (0.002)	Loss 2.2446 (2.1845)	Prec@1 39.844 (44.930)	Prec@5 77.344 (75.473)
Epoch: [46][5070/14090]	Time 0.739 (0.764)	Data 0.001 (0.002)	Loss 2.2893 (2.1847)	Prec@1 40.625 (44.927)	Prec@5 73.438 (75.470)
Epoch: [46][5080/14090]	Time 0.744 (0.764)	Data 0.001 (0.002)	Loss 1.9555 (2.1846)	Prec@1 46.875 (44.926)	Prec@5 79.688 (75.469)
Epoch: [46][5090/14090]	Time 0.849 (0.764)	Data 0.001 (0.002)	Loss 1.9676 (2.1847)	Prec@1 50.781 (44.930)	Prec@5 78.906 (75.468)
Epoch: [46][5100/14090]	Time 0.729 (0.764)	Data 0.001 (0.002)	Loss 2.2990 (2.1848)	Prec@1 47.656 (44.931)	Prec@5 76.562 (75.466)
Epoch: [46][5110/14090]	Time 0.725 (0.764)	Data 0.001 (0.002)	Loss 1.9941 (2.1847)	Prec@1 53.125 (44.932)	Prec@5 78.906 (75.466)
Epoch: [46][5120/14090]	Time 0.737 (0.764)	Data 0.001 (0.002)	Loss 2.2517 (2.1848)	Prec@1 36.719 (44.928)	Prec@5 78.125 (75.465)
Epoch: [46][5130/14090]	Time 0.755 (0.764)	Data 0.001 (0.002)	Loss 2.0256 (2.1848)	Prec@1 52.344 (44.930)	Prec@5 78.906 (75.467)
Epoch: [46][5140/14090]	Time 0.760 (0.764)	Data 0.001 (0.002)	Loss 2.1628 (2.1849)	Prec@1 41.406 (44.933)	Prec@5 77.344 (75.466)
Epoch: [46][5150/14090]	Time 0.734 (0.764)	Data 0.001 (0.002)	Loss 2.2548 (2.1849)	Prec@1 44.531 (44.935)	Prec@5 68.750 (75.464)
Epoch: [46][5160/14090]	Time 0.913 (0.764)	Data 0.002 (0.002)	Loss 2.2605 (2.1849)	Prec@1 36.719 (44.935)	Prec@5 71.094 (75.464)
Epoch: [46][5170/14090]	Time 0.744 (0.764)	Data 0.001 (0.002)	Loss 1.9895 (2.1848)	Prec@1 46.875 (44.935)	Prec@5 79.688 (75.464)
Epoch: [46][5180/14090]	Time 0.746 (0.764)	Data 0.001 (0.002)	Loss 2.0382 (2.1848)	Prec@1 53.125 (44.936)	Prec@5 77.344 (75.465)
Epoch: [46][5190/14090]	Time 0.720 (0.764)	Data 0.001 (0.002)	Loss 2.0140 (2.1847)	Prec@1 46.875 (44.936)	Prec@5 80.469 (75.468)
Epoch: [46][5200/14090]	Time 0.730 (0.764)	Data 0.001 (0.002)	Loss 2.3979 (2.1847)	Prec@1 42.969 (44.935)	Prec@5 71.094 (75.468)
Epoch: [46][5210/14090]	Time 0.741 (0.764)	Data 0.001 (0.002)	Loss 2.5197 (2.1847)	Prec@1 39.062 (44.936)	Prec@5 64.844 (75.468)
Epoch: [46][5220/14090]	Time 0.750 (0.764)	Data 0.001 (0.002)	Loss 2.3343 (2.1849)	Prec@1 39.844 (44.933)	Prec@5 70.312 (75.466)
Epoch: [46][5230/14090]	Time 0.846 (0.764)	Data 0.001 (0.002)	Loss 2.1729 (2.1850)	Prec@1 46.875 (44.935)	Prec@5 71.875 (75.466)
Epoch: [46][5240/14090]	Time 0.749 (0.764)	Data 0.001 (0.002)	Loss 2.0118 (2.1850)	Prec@1 43.750 (44.931)	Prec@5 75.781 (75.466)
Epoch: [46][5250/14090]	Time 0.721 (0.764)	Data 0.001 (0.002)	Loss 2.0916 (2.1851)	Prec@1 46.875 (44.929)	Prec@5 75.000 (75.465)
Epoch: [46][5260/14090]	Time 0.745 (0.764)	Data 0.001 (0.002)	Loss 2.6146 (2.1852)	Prec@1 40.625 (44.929)	Prec@5 71.094 (75.462)
Epoch: [46][5270/14090]	Time 0.730 (0.764)	Data 0.001 (0.002)	Loss 2.4163 (2.1852)	Prec@1 40.625 (44.927)	Prec@5 76.562 (75.465)
Epoch: [46][5280/14090]	Time 0.761 (0.764)	Data 0.001 (0.002)	Loss 2.1622 (2.1852)	Prec@1 46.875 (44.926)	Prec@5 76.562 (75.465)
Epoch: [46][5290/14090]	Time 0.761 (0.764)	Data 0.001 (0.002)	Loss 2.2621 (2.1853)	Prec@1 44.531 (44.927)	Prec@5 74.219 (75.464)
Epoch: [46][5300/14090]	Time 0.866 (0.764)	Data 0.001 (0.002)	Loss 2.3642 (2.1854)	Prec@1 47.656 (44.927)	Prec@5 67.969 (75.462)
Epoch: [46][5310/14090]	Time 0.743 (0.764)	Data 0.001 (0.002)	Loss 2.0710 (2.1854)	Prec@1 45.312 (44.925)	Prec@5 73.438 (75.461)
Epoch: [46][5320/14090]	Time 0.759 (0.764)	Data 0.001 (0.002)	Loss 2.0460 (2.1856)	Prec@1 44.531 (44.924)	Prec@5 78.906 (75.456)
Epoch: [46][5330/14090]	Time 0.733 (0.764)	Data 0.001 (0.002)	Loss 2.4388 (2.1856)	Prec@1 43.750 (44.925)	Prec@5 71.875 (75.452)
Epoch: [46][5340/14090]	Time 0.726 (0.764)	Data 0.001 (0.002)	Loss 2.0799 (2.1857)	Prec@1 47.656 (44.922)	Prec@5 77.344 (75.451)
Epoch: [46][5350/14090]	Time 0.755 (0.764)	Data 0.001 (0.002)	Loss 2.2570 (2.1857)	Prec@1 46.875 (44.925)	Prec@5 71.875 (75.449)
Epoch: [46][5360/14090]	Time 0.748 (0.764)	Data 0.001 (0.002)	Loss 2.0388 (2.1857)	Prec@1 47.656 (44.923)	Prec@5 76.562 (75.450)
Epoch: [46][5370/14090]	Time 0.848 (0.764)	Data 0.001 (0.002)	Loss 2.2522 (2.1856)	Prec@1 44.531 (44.922)	Prec@5 76.562 (75.452)
Epoch: [46][5380/14090]	Time 0.728 (0.764)	Data 0.001 (0.002)	Loss 2.4317 (2.1857)	Prec@1 37.500 (44.918)	Prec@5 71.094 (75.451)
Epoch: [46][5390/14090]	Time 0.746 (0.764)	Data 0.001 (0.002)	Loss 2.4368 (2.1857)	Prec@1 46.875 (44.917)	Prec@5 68.750 (75.450)
Epoch: [46][5400/14090]	Time 0.774 (0.764)	Data 0.001 (0.002)	Loss 2.2675 (2.1857)	Prec@1 40.625 (44.916)	Prec@5 74.219 (75.448)
Epoch: [46][5410/14090]	Time 0.733 (0.764)	Data 0.001 (0.002)	Loss 2.0475 (2.1856)	Prec@1 48.438 (44.918)	Prec@5 80.469 (75.452)
Epoch: [46][5420/14090]	Time 0.764 (0.764)	Data 0.001 (0.002)	Loss 2.5603 (2.1857)	Prec@1 35.938 (44.919)	Prec@5 66.406 (75.449)
Epoch: [46][5430/14090]	Time 0.762 (0.764)	Data 0.001 (0.002)	Loss 2.2322 (2.1858)	Prec@1 39.844 (44.919)	Prec@5 73.438 (75.449)
Epoch: [46][5440/14090]	Time 0.837 (0.764)	Data 0.001 (0.002)	Loss 1.9964 (2.1857)	Prec@1 46.875 (44.921)	Prec@5 76.562 (75.448)
Epoch: [46][5450/14090]	Time 0.767 (0.764)	Data 0.001 (0.002)	Loss 2.2814 (2.1858)	Prec@1 45.312 (44.919)	Prec@5 74.219 (75.445)
Epoch: [46][5460/14090]	Time 0.731 (0.764)	Data 0.001 (0.002)	Loss 2.2007 (2.1858)	Prec@1 45.312 (44.917)	Prec@5 75.781 (75.445)
Epoch: [46][5470/14090]	Time 0.751 (0.764)	Data 0.001 (0.002)	Loss 2.1392 (2.1858)	Prec@1 50.781 (44.919)	Prec@5 76.562 (75.446)
Epoch: [46][5480/14090]	Time 0.762 (0.764)	Data 0.001 (0.002)	Loss 2.2976 (2.1858)	Prec@1 43.750 (44.920)	Prec@5 73.438 (75.445)
Epoch: [46][5490/14090]	Time 0.743 (0.764)	Data 0.001 (0.002)	Loss 2.3132 (2.1860)	Prec@1 46.875 (44.917)	Prec@5 68.750 (75.444)
Epoch: [46][5500/14090]	Time 0.754 (0.764)	Data 0.001 (0.002)	Loss 2.1864 (2.1860)	Prec@1 42.188 (44.914)	Prec@5 75.000 (75.442)
Epoch: [46][5510/14090]	Time 0.866 (0.764)	Data 0.001 (0.002)	Loss 1.9765 (2.1861)	Prec@1 51.562 (44.912)	Prec@5 74.219 (75.439)
Epoch: [46][5520/14090]	Time 0.741 (0.764)	Data 0.002 (0.002)	Loss 2.1677 (2.1861)	Prec@1 40.625 (44.909)	Prec@5 77.344 (75.441)
Epoch: [46][5530/14090]	Time 0.731 (0.764)	Data 0.002 (0.002)	Loss 2.0522 (2.1861)	Prec@1 46.094 (44.907)	Prec@5 78.906 (75.441)
Epoch: [46][5540/14090]	Time 0.742 (0.764)	Data 0.001 (0.002)	Loss 2.0904 (2.1862)	Prec@1 45.312 (44.904)	Prec@5 76.562 (75.441)
Epoch: [46][5550/14090]	Time 0.745 (0.764)	Data 0.001 (0.002)	Loss 1.8542 (2.1861)	Prec@1 49.219 (44.905)	Prec@5 81.250 (75.442)
Epoch: [46][5560/14090]	Time 0.732 (0.764)	Data 0.001 (0.002)	Loss 2.3844 (2.1861)	Prec@1 42.188 (44.904)	Prec@5 74.219 (75.440)
Epoch: [46][5570/14090]	Time 0.758 (0.764)	Data 0.001 (0.002)	Loss 2.1237 (2.1861)	Prec@1 50.000 (44.904)	Prec@5 78.125 (75.443)
Epoch: [46][5580/14090]	Time 0.872 (0.764)	Data 0.001 (0.002)	Loss 1.9726 (2.1860)	Prec@1 51.562 (44.908)	Prec@5 76.562 (75.446)
Epoch: [46][5590/14090]	Time 0.759 (0.764)	Data 0.001 (0.002)	Loss 2.3184 (2.1860)	Prec@1 41.406 (44.905)	Prec@5 73.438 (75.446)
Epoch: [46][5600/14090]	Time 0.753 (0.764)	Data 0.001 (0.002)	Loss 2.2208 (2.1859)	Prec@1 42.188 (44.906)	Prec@5 76.562 (75.448)
Epoch: [46][5610/14090]	Time 0.732 (0.764)	Data 0.001 (0.002)	Loss 2.0682 (2.1860)	Prec@1 48.438 (44.905)	Prec@5 78.906 (75.445)
Epoch: [46][5620/14090]	Time 0.733 (0.764)	Data 0.001 (0.002)	Loss 2.7036 (2.1860)	Prec@1 35.938 (44.903)	Prec@5 61.719 (75.447)
Epoch: [46][5630/14090]	Time 0.760 (0.764)	Data 0.001 (0.002)	Loss 2.1492 (2.1859)	Prec@1 43.750 (44.903)	Prec@5 75.781 (75.448)
Epoch: [46][5640/14090]	Time 0.753 (0.764)	Data 0.001 (0.002)	Loss 2.1157 (2.1857)	Prec@1 37.500 (44.904)	Prec@5 78.906 (75.452)
Epoch: [46][5650/14090]	Time 0.870 (0.764)	Data 0.002 (0.002)	Loss 2.2458 (2.1858)	Prec@1 42.969 (44.903)	Prec@5 75.000 (75.450)
Epoch: [46][5660/14090]	Time 0.721 (0.764)	Data 0.001 (0.002)	Loss 2.2832 (2.1858)	Prec@1 40.625 (44.903)	Prec@5 78.125 (75.453)
Epoch: [46][5670/14090]	Time 0.749 (0.764)	Data 0.001 (0.002)	Loss 2.0980 (2.1857)	Prec@1 46.094 (44.902)	Prec@5 77.344 (75.452)
Epoch: [46][5680/14090]	Time 0.758 (0.764)	Data 0.001 (0.002)	Loss 2.0724 (2.1857)	Prec@1 45.312 (44.902)	Prec@5 75.000 (75.451)
Epoch: [46][5690/14090]	Time 0.754 (0.764)	Data 0.001 (0.002)	Loss 2.5308 (2.1860)	Prec@1 32.031 (44.894)	Prec@5 71.875 (75.447)
Epoch: [46][5700/14090]	Time 0.758 (0.764)	Data 0.001 (0.002)	Loss 1.9596 (2.1858)	Prec@1 49.219 (44.899)	Prec@5 77.344 (75.450)
Epoch: [46][5710/14090]	Time 0.732 (0.764)	Data 0.001 (0.002)	Loss 2.3243 (2.1858)	Prec@1 41.406 (44.898)	Prec@5 76.562 (75.454)
Epoch: [46][5720/14090]	Time 0.863 (0.764)	Data 0.001 (0.002)	Loss 2.1544 (2.1859)	Prec@1 44.531 (44.896)	Prec@5 79.688 (75.454)
Epoch: [46][5730/14090]	Time 0.725 (0.764)	Data 0.001 (0.002)	Loss 2.1935 (2.1860)	Prec@1 50.000 (44.899)	Prec@5 73.438 (75.451)
Epoch: [46][5740/14090]	Time 0.736 (0.764)	Data 0.001 (0.002)	Loss 2.5363 (2.1861)	Prec@1 39.062 (44.897)	Prec@5 71.094 (75.450)
Epoch: [46][5750/14090]	Time 0.727 (0.764)	Data 0.001 (0.002)	Loss 2.2707 (2.1861)	Prec@1 44.531 (44.897)	Prec@5 78.125 (75.451)
Epoch: [46][5760/14090]	Time 0.750 (0.763)	Data 0.001 (0.002)	Loss 2.2205 (2.1862)	Prec@1 43.750 (44.894)	Prec@5 73.438 (75.448)
Epoch: [46][5770/14090]	Time 0.736 (0.763)	Data 0.001 (0.002)	Loss 2.2651 (2.1861)	Prec@1 41.406 (44.894)	Prec@5 72.656 (75.450)
Epoch: [46][5780/14090]	Time 0.747 (0.763)	Data 0.001 (0.002)	Loss 2.1397 (2.1860)	Prec@1 43.750 (44.895)	Prec@5 70.312 (75.450)
Epoch: [46][5790/14090]	Time 0.852 (0.764)	Data 0.001 (0.002)	Loss 1.9176 (2.1860)	Prec@1 52.344 (44.897)	Prec@5 80.469 (75.452)
Epoch: [46][5800/14090]	Time 0.719 (0.763)	Data 0.001 (0.002)	Loss 2.1713 (2.1858)	Prec@1 48.438 (44.901)	Prec@5 80.469 (75.456)
Epoch: [46][5810/14090]	Time 0.727 (0.763)	Data 0.002 (0.002)	Loss 2.5072 (2.1860)	Prec@1 39.062 (44.899)	Prec@5 70.312 (75.453)
Epoch: [46][5820/14090]	Time 0.749 (0.763)	Data 0.001 (0.002)	Loss 2.0819 (2.1858)	Prec@1 44.531 (44.900)	Prec@5 77.344 (75.455)
Epoch: [46][5830/14090]	Time 0.732 (0.763)	Data 0.001 (0.002)	Loss 1.9162 (2.1858)	Prec@1 50.781 (44.899)	Prec@5 79.688 (75.456)
Epoch: [46][5840/14090]	Time 0.758 (0.763)	Data 0.001 (0.002)	Loss 2.1761 (2.1857)	Prec@1 42.188 (44.899)	Prec@5 73.438 (75.458)
Epoch: [46][5850/14090]	Time 0.757 (0.763)	Data 0.001 (0.002)	Loss 1.9689 (2.1857)	Prec@1 50.781 (44.899)	Prec@5 78.906 (75.459)
Epoch: [46][5860/14090]	Time 0.857 (0.763)	Data 0.001 (0.002)	Loss 2.2123 (2.1858)	Prec@1 50.000 (44.899)	Prec@5 71.875 (75.458)
Epoch: [46][5870/14090]	Time 0.742 (0.763)	Data 0.001 (0.002)	Loss 2.2233 (2.1858)	Prec@1 46.094 (44.900)	Prec@5 73.438 (75.458)
Epoch: [46][5880/14090]	Time 0.743 (0.763)	Data 0.001 (0.002)	Loss 2.0910 (2.1860)	Prec@1 44.531 (44.897)	Prec@5 77.344 (75.454)
Epoch: [46][5890/14090]	Time 0.745 (0.763)	Data 0.001 (0.002)	Loss 2.1787 (2.1860)	Prec@1 46.875 (44.897)	Prec@5 75.781 (75.453)
Epoch: [46][5900/14090]	Time 0.753 (0.763)	Data 0.001 (0.002)	Loss 2.0294 (2.1858)	Prec@1 48.438 (44.900)	Prec@5 77.344 (75.456)
Epoch: [46][5910/14090]	Time 0.727 (0.763)	Data 0.001 (0.002)	Loss 2.1727 (2.1857)	Prec@1 48.438 (44.904)	Prec@5 72.656 (75.456)
Epoch: [46][5920/14090]	Time 0.726 (0.763)	Data 0.001 (0.002)	Loss 2.5601 (2.1859)	Prec@1 35.156 (44.902)	Prec@5 67.969 (75.453)
Epoch: [46][5930/14090]	Time 0.856 (0.763)	Data 0.001 (0.002)	Loss 1.7957 (2.1859)	Prec@1 53.906 (44.901)	Prec@5 82.031 (75.450)
Epoch: [46][5940/14090]	Time 0.730 (0.763)	Data 0.001 (0.002)	Loss 2.1209 (2.1860)	Prec@1 47.656 (44.901)	Prec@5 72.656 (75.446)
Epoch: [46][5950/14090]	Time 0.748 (0.763)	Data 0.001 (0.002)	Loss 2.1056 (2.1860)	Prec@1 46.094 (44.903)	Prec@5 76.562 (75.447)
Epoch: [46][5960/14090]	Time 0.728 (0.763)	Data 0.001 (0.002)	Loss 2.2967 (2.1859)	Prec@1 41.406 (44.903)	Prec@5 74.219 (75.449)
Epoch: [46][5970/14090]	Time 0.732 (0.763)	Data 0.001 (0.002)	Loss 2.1149 (2.1858)	Prec@1 45.312 (44.906)	Prec@5 79.688 (75.451)
Epoch: [46][5980/14090]	Time 0.757 (0.763)	Data 0.001 (0.002)	Loss 2.0449 (2.1858)	Prec@1 53.125 (44.903)	Prec@5 72.656 (75.450)
Epoch: [46][5990/14090]	Time 0.777 (0.763)	Data 0.001 (0.002)	Loss 2.2761 (2.1859)	Prec@1 49.219 (44.901)	Prec@5 74.219 (75.450)
Epoch: [46][6000/14090]	Time 0.863 (0.763)	Data 0.002 (0.002)	Loss 2.1224 (2.1860)	Prec@1 42.188 (44.901)	Prec@5 75.781 (75.446)
Epoch: [46][6010/14090]	Time 0.752 (0.763)	Data 0.001 (0.002)	Loss 2.2260 (2.1861)	Prec@1 49.219 (44.899)	Prec@5 75.781 (75.444)
Epoch: [46][6020/14090]	Time 0.757 (0.763)	Data 0.001 (0.002)	Loss 2.4272 (2.1862)	Prec@1 42.969 (44.898)	Prec@5 71.875 (75.443)
Epoch: [46][6030/14090]	Time 0.753 (0.763)	Data 0.001 (0.002)	Loss 2.1481 (2.1861)	Prec@1 41.406 (44.896)	Prec@5 78.125 (75.443)
Epoch: [46][6040/14090]	Time 0.733 (0.763)	Data 0.001 (0.002)	Loss 2.2471 (2.1862)	Prec@1 41.406 (44.893)	Prec@5 75.000 (75.440)
Epoch: [46][6050/14090]	Time 0.748 (0.763)	Data 0.001 (0.002)	Loss 2.2553 (2.1864)	Prec@1 40.625 (44.888)	Prec@5 73.438 (75.438)
Epoch: [46][6060/14090]	Time 0.742 (0.763)	Data 0.001 (0.002)	Loss 2.0331 (2.1864)	Prec@1 46.875 (44.887)	Prec@5 82.812 (75.438)
Epoch: [46][6070/14090]	Time 0.863 (0.763)	Data 0.001 (0.002)	Loss 2.1254 (2.1863)	Prec@1 42.188 (44.891)	Prec@5 76.562 (75.441)
Epoch: [46][6080/14090]	Time 0.718 (0.763)	Data 0.001 (0.002)	Loss 2.0157 (2.1864)	Prec@1 53.125 (44.888)	Prec@5 77.344 (75.438)
Epoch: [46][6090/14090]	Time 0.766 (0.763)	Data 0.001 (0.002)	Loss 1.9763 (2.1865)	Prec@1 50.781 (44.888)	Prec@5 80.469 (75.437)
Epoch: [46][6100/14090]	Time 0.735 (0.763)	Data 0.001 (0.002)	Loss 2.3450 (2.1865)	Prec@1 40.625 (44.890)	Prec@5 74.219 (75.436)
Epoch: [46][6110/14090]	Time 0.728 (0.763)	Data 0.001 (0.002)	Loss 2.2599 (2.1864)	Prec@1 40.625 (44.887)	Prec@5 74.219 (75.436)
Epoch: [46][6120/14090]	Time 0.725 (0.763)	Data 0.001 (0.002)	Loss 2.0979 (2.1863)	Prec@1 40.625 (44.889)	Prec@5 82.031 (75.441)
Epoch: [46][6130/14090]	Time 0.771 (0.763)	Data 0.001 (0.002)	Loss 2.2524 (2.1864)	Prec@1 42.969 (44.887)	Prec@5 74.219 (75.439)
Epoch: [46][6140/14090]	Time 0.873 (0.763)	Data 0.001 (0.002)	Loss 2.2138 (2.1862)	Prec@1 37.500 (44.888)	Prec@5 75.781 (75.443)
Epoch: [46][6150/14090]	Time 0.775 (0.763)	Data 0.001 (0.002)	Loss 2.2204 (2.1864)	Prec@1 46.094 (44.884)	Prec@5 75.000 (75.441)
Epoch: [46][6160/14090]	Time 0.774 (0.763)	Data 0.001 (0.002)	Loss 2.1058 (2.1864)	Prec@1 47.656 (44.888)	Prec@5 81.250 (75.442)
Epoch: [46][6170/14090]	Time 0.750 (0.763)	Data 0.001 (0.002)	Loss 1.9026 (2.1863)	Prec@1 52.344 (44.890)	Prec@5 81.250 (75.442)
Epoch: [46][6180/14090]	Time 0.725 (0.763)	Data 0.001 (0.002)	Loss 2.2406 (2.1863)	Prec@1 46.875 (44.890)	Prec@5 71.094 (75.444)
Epoch: [46][6190/14090]	Time 0.759 (0.763)	Data 0.001 (0.002)	Loss 2.2187 (2.1863)	Prec@1 45.312 (44.891)	Prec@5 73.438 (75.446)
Epoch: [46][6200/14090]	Time 0.763 (0.763)	Data 0.001 (0.002)	Loss 2.4396 (2.1863)	Prec@1 42.188 (44.889)	Prec@5 71.875 (75.446)
Epoch: [46][6210/14090]	Time 0.832 (0.763)	Data 0.001 (0.002)	Loss 2.2528 (2.1864)	Prec@1 40.625 (44.888)	Prec@5 71.094 (75.443)
Epoch: [46][6220/14090]	Time 0.727 (0.763)	Data 0.001 (0.002)	Loss 2.4825 (2.1865)	Prec@1 35.156 (44.886)	Prec@5 71.094 (75.439)
Epoch: [46][6230/14090]	Time 0.728 (0.763)	Data 0.001 (0.002)	Loss 2.3016 (2.1868)	Prec@1 42.969 (44.880)	Prec@5 74.219 (75.435)
Epoch: [46][6240/14090]	Time 0.750 (0.763)	Data 0.001 (0.002)	Loss 1.9897 (2.1868)	Prec@1 46.875 (44.881)	Prec@5 81.250 (75.434)
Epoch: [46][6250/14090]	Time 0.733 (0.763)	Data 0.001 (0.002)	Loss 2.2386 (2.1867)	Prec@1 45.312 (44.881)	Prec@5 72.656 (75.436)
Epoch: [46][6260/14090]	Time 0.755 (0.763)	Data 0.001 (0.002)	Loss 2.0526 (2.1868)	Prec@1 47.656 (44.880)	Prec@5 79.688 (75.435)
Epoch: [46][6270/14090]	Time 0.772 (0.763)	Data 0.001 (0.002)	Loss 2.3925 (2.1869)	Prec@1 38.281 (44.875)	Prec@5 75.781 (75.432)
Epoch: [46][6280/14090]	Time 0.871 (0.763)	Data 0.001 (0.002)	Loss 1.7351 (2.1869)	Prec@1 53.125 (44.876)	Prec@5 85.938 (75.433)
Epoch: [46][6290/14090]	Time 0.754 (0.763)	Data 0.001 (0.002)	Loss 2.4696 (2.1869)	Prec@1 38.281 (44.873)	Prec@5 72.656 (75.433)
Epoch: [46][6300/14090]	Time 0.755 (0.763)	Data 0.001 (0.002)	Loss 2.2803 (2.1870)	Prec@1 38.281 (44.871)	Prec@5 72.656 (75.431)
Epoch: [46][6310/14090]	Time 0.785 (0.763)	Data 0.001 (0.002)	Loss 2.0051 (2.1870)	Prec@1 50.781 (44.872)	Prec@5 76.562 (75.431)
Epoch: [46][6320/14090]	Time 0.750 (0.763)	Data 0.001 (0.002)	Loss 2.0239 (2.1868)	Prec@1 45.312 (44.874)	Prec@5 79.688 (75.436)
Epoch: [46][6330/14090]	Time 0.768 (0.763)	Data 0.001 (0.002)	Loss 2.0736 (2.1869)	Prec@1 47.656 (44.870)	Prec@5 74.219 (75.433)
Epoch: [46][6340/14090]	Time 0.734 (0.763)	Data 0.001 (0.002)	Loss 2.0620 (2.1869)	Prec@1 46.094 (44.867)	Prec@5 78.125 (75.433)
Epoch: [46][6350/14090]	Time 0.830 (0.763)	Data 0.001 (0.002)	Loss 2.1960 (2.1870)	Prec@1 43.750 (44.866)	Prec@5 77.344 (75.431)
Epoch: [46][6360/14090]	Time 0.739 (0.763)	Data 0.001 (0.002)	Loss 2.2677 (2.1869)	Prec@1 42.969 (44.866)	Prec@5 73.438 (75.433)
Epoch: [46][6370/14090]	Time 0.763 (0.763)	Data 0.001 (0.002)	Loss 2.3818 (2.1871)	Prec@1 39.062 (44.863)	Prec@5 75.781 (75.431)
Epoch: [46][6380/14090]	Time 0.734 (0.763)	Data 0.001 (0.002)	Loss 2.1064 (2.1871)	Prec@1 40.625 (44.861)	Prec@5 75.000 (75.432)
Epoch: [46][6390/14090]	Time 0.759 (0.763)	Data 0.001 (0.002)	Loss 1.9572 (2.1871)	Prec@1 50.781 (44.861)	Prec@5 78.906 (75.432)
Epoch: [46][6400/14090]	Time 0.744 (0.763)	Data 0.001 (0.002)	Loss 2.4245 (2.1872)	Prec@1 46.875 (44.863)	Prec@5 72.656 (75.431)
Epoch: [46][6410/14090]	Time 0.754 (0.763)	Data 0.001 (0.002)	Loss 2.5957 (2.1872)	Prec@1 35.156 (44.863)	Prec@5 68.750 (75.432)
Epoch: [46][6420/14090]	Time 0.860 (0.763)	Data 0.001 (0.002)	Loss 2.3747 (2.1872)	Prec@1 42.969 (44.863)	Prec@5 75.000 (75.431)
Epoch: [46][6430/14090]	Time 0.724 (0.763)	Data 0.001 (0.002)	Loss 2.0540 (2.1872)	Prec@1 46.094 (44.864)	Prec@5 75.781 (75.430)
Epoch: [46][6440/14090]	Time 0.761 (0.763)	Data 0.001 (0.002)	Loss 2.3885 (2.1872)	Prec@1 35.938 (44.863)	Prec@5 70.312 (75.431)
Epoch: [46][6450/14090]	Time 0.763 (0.763)	Data 0.001 (0.002)	Loss 2.3970 (2.1873)	Prec@1 40.625 (44.863)	Prec@5 72.656 (75.430)
Epoch: [46][6460/14090]	Time 0.747 (0.763)	Data 0.001 (0.002)	Loss 2.0375 (2.1873)	Prec@1 48.438 (44.862)	Prec@5 75.781 (75.427)
Epoch: [46][6470/14090]	Time 0.753 (0.763)	Data 0.001 (0.002)	Loss 2.4221 (2.1873)	Prec@1 42.188 (44.859)	Prec@5 71.875 (75.427)
Epoch: [46][6480/14090]	Time 0.736 (0.763)	Data 0.001 (0.002)	Loss 2.2267 (2.1874)	Prec@1 39.062 (44.857)	Prec@5 75.000 (75.427)
Epoch: [46][6490/14090]	Time 0.939 (0.763)	Data 0.001 (0.002)	Loss 1.9797 (2.1875)	Prec@1 45.312 (44.855)	Prec@5 77.344 (75.425)
Epoch: [46][6500/14090]	Time 0.727 (0.763)	Data 0.001 (0.002)	Loss 2.5133 (2.1875)	Prec@1 42.188 (44.857)	Prec@5 69.531 (75.425)
Epoch: [46][6510/14090]	Time 0.720 (0.763)	Data 0.001 (0.002)	Loss 2.0470 (2.1875)	Prec@1 48.438 (44.861)	Prec@5 77.344 (75.424)
Epoch: [46][6520/14090]	Time 0.738 (0.763)	Data 0.001 (0.002)	Loss 2.3852 (2.1877)	Prec@1 42.969 (44.856)	Prec@5 72.656 (75.421)
Epoch: [46][6530/14090]	Time 0.735 (0.763)	Data 0.001 (0.002)	Loss 2.1455 (2.1878)	Prec@1 47.656 (44.853)	Prec@5 76.562 (75.418)
Epoch: [46][6540/14090]	Time 0.747 (0.763)	Data 0.001 (0.002)	Loss 2.4054 (2.1879)	Prec@1 40.625 (44.852)	Prec@5 72.656 (75.418)
Epoch: [46][6550/14090]	Time 0.724 (0.763)	Data 0.001 (0.002)	Loss 2.2742 (2.1880)	Prec@1 40.625 (44.847)	Prec@5 73.438 (75.416)
Epoch: [46][6560/14090]	Time 0.879 (0.763)	Data 0.001 (0.002)	Loss 2.0543 (2.1881)	Prec@1 47.656 (44.846)	Prec@5 80.469 (75.414)
Epoch: [46][6570/14090]	Time 0.735 (0.763)	Data 0.001 (0.002)	Loss 2.0789 (2.1879)	Prec@1 50.000 (44.846)	Prec@5 80.469 (75.419)
Epoch: [46][6580/14090]	Time 0.745 (0.763)	Data 0.001 (0.002)	Loss 2.7293 (2.1880)	Prec@1 33.594 (44.843)	Prec@5 65.625 (75.419)
Epoch: [46][6590/14090]	Time 0.769 (0.763)	Data 0.001 (0.002)	Loss 2.2989 (2.1880)	Prec@1 39.844 (44.844)	Prec@5 66.406 (75.417)
Epoch: [46][6600/14090]	Time 0.730 (0.763)	Data 0.001 (0.002)	Loss 2.3983 (2.1880)	Prec@1 46.875 (44.845)	Prec@5 71.875 (75.417)
Epoch: [46][6610/14090]	Time 0.758 (0.763)	Data 0.001 (0.002)	Loss 2.0811 (2.1880)	Prec@1 46.875 (44.846)	Prec@5 78.906 (75.419)
Epoch: [46][6620/14090]	Time 0.743 (0.763)	Data 0.001 (0.002)	Loss 2.3394 (2.1880)	Prec@1 46.875 (44.846)	Prec@5 72.656 (75.420)
Epoch: [46][6630/14090]	Time 0.834 (0.763)	Data 0.001 (0.002)	Loss 1.8498 (2.1879)	Prec@1 50.781 (44.848)	Prec@5 82.031 (75.423)
Epoch: [46][6640/14090]	Time 0.752 (0.763)	Data 0.001 (0.002)	Loss 2.6848 (2.1880)	Prec@1 38.281 (44.846)	Prec@5 72.656 (75.421)
Epoch: [46][6650/14090]	Time 0.732 (0.763)	Data 0.001 (0.002)	Loss 2.0611 (2.1880)	Prec@1 45.312 (44.848)	Prec@5 79.688 (75.421)
Epoch: [46][6660/14090]	Time 0.774 (0.763)	Data 0.001 (0.002)	Loss 1.9895 (2.1880)	Prec@1 48.438 (44.847)	Prec@5 77.344 (75.421)
Epoch: [46][6670/14090]	Time 0.728 (0.763)	Data 0.001 (0.002)	Loss 1.9430 (2.1880)	Prec@1 58.594 (44.848)	Prec@5 81.250 (75.420)
Epoch: [46][6680/14090]	Time 0.769 (0.763)	Data 0.001 (0.002)	Loss 2.3584 (2.1880)	Prec@1 43.750 (44.850)	Prec@5 70.312 (75.420)
Epoch: [46][6690/14090]	Time 0.754 (0.763)	Data 0.001 (0.002)	Loss 2.4211 (2.1880)	Prec@1 38.281 (44.848)	Prec@5 75.781 (75.421)
Epoch: [46][6700/14090]	Time 0.875 (0.763)	Data 0.001 (0.002)	Loss 2.4488 (2.1881)	Prec@1 35.156 (44.847)	Prec@5 71.875 (75.421)
Epoch: [46][6710/14090]	Time 0.724 (0.763)	Data 0.001 (0.002)	Loss 2.3218 (2.1881)	Prec@1 40.625 (44.846)	Prec@5 71.875 (75.419)
Epoch: [46][6720/14090]	Time 0.739 (0.763)	Data 0.001 (0.002)	Loss 2.0340 (2.1880)	Prec@1 47.656 (44.847)	Prec@5 78.125 (75.419)
Epoch: [46][6730/14090]	Time 0.734 (0.763)	Data 0.001 (0.002)	Loss 2.0632 (2.1880)	Prec@1 48.438 (44.848)	Prec@5 80.469 (75.421)
Epoch: [46][6740/14090]	Time 0.730 (0.763)	Data 0.001 (0.002)	Loss 2.1936 (2.1881)	Prec@1 41.406 (44.848)	Prec@5 75.781 (75.420)
Epoch: [46][6750/14090]	Time 0.749 (0.763)	Data 0.001 (0.002)	Loss 1.9527 (2.1880)	Prec@1 48.438 (44.847)	Prec@5 78.125 (75.420)
Epoch: [46][6760/14090]	Time 0.764 (0.763)	Data 0.001 (0.002)	Loss 2.2511 (2.1881)	Prec@1 42.188 (44.846)	Prec@5 75.000 (75.418)
Epoch: [46][6770/14090]	Time 0.879 (0.763)	Data 0.001 (0.002)	Loss 2.6923 (2.1881)	Prec@1 32.031 (44.844)	Prec@5 64.844 (75.418)
Epoch: [46][6780/14090]	Time 0.722 (0.763)	Data 0.001 (0.002)	Loss 2.2435 (2.1882)	Prec@1 48.438 (44.843)	Prec@5 78.125 (75.418)
Epoch: [46][6790/14090]	Time 0.738 (0.763)	Data 0.001 (0.002)	Loss 2.0532 (2.1880)	Prec@1 50.000 (44.846)	Prec@5 79.688 (75.421)
Epoch: [46][6800/14090]	Time 0.757 (0.763)	Data 0.001 (0.002)	Loss 2.2695 (2.1881)	Prec@1 42.188 (44.847)	Prec@5 77.344 (75.421)
Epoch: [46][6810/14090]	Time 0.730 (0.763)	Data 0.001 (0.002)	Loss 2.2076 (2.1880)	Prec@1 44.531 (44.851)	Prec@5 74.219 (75.422)
Epoch: [46][6820/14090]	Time 0.754 (0.763)	Data 0.001 (0.002)	Loss 2.0179 (2.1880)	Prec@1 50.000 (44.852)	Prec@5 80.469 (75.423)
Epoch: [46][6830/14090]	Time 0.733 (0.763)	Data 0.001 (0.002)	Loss 1.8816 (2.1879)	Prec@1 48.438 (44.854)	Prec@5 82.031 (75.425)
Epoch: [46][6840/14090]	Time 0.862 (0.763)	Data 0.001 (0.002)	Loss 2.2200 (2.1879)	Prec@1 44.531 (44.853)	Prec@5 76.562 (75.426)
Epoch: [46][6850/14090]	Time 0.727 (0.763)	Data 0.001 (0.002)	Loss 2.0619 (2.1878)	Prec@1 45.312 (44.853)	Prec@5 74.219 (75.425)
Epoch: [46][6860/14090]	Time 0.779 (0.763)	Data 0.001 (0.002)	Loss 2.2804 (2.1879)	Prec@1 41.406 (44.850)	Prec@5 73.438 (75.425)
Epoch: [46][6870/14090]	Time 0.725 (0.763)	Data 0.001 (0.002)	Loss 1.9158 (2.1878)	Prec@1 47.656 (44.849)	Prec@5 82.031 (75.426)
Epoch: [46][6880/14090]	Time 0.723 (0.763)	Data 0.001 (0.002)	Loss 2.5635 (2.1879)	Prec@1 39.062 (44.847)	Prec@5 70.312 (75.424)
Epoch: [46][6890/14090]	Time 0.746 (0.763)	Data 0.001 (0.002)	Loss 2.1617 (2.1879)	Prec@1 46.094 (44.846)	Prec@5 78.906 (75.425)
Epoch: [46][6900/14090]	Time 0.746 (0.763)	Data 0.001 (0.002)	Loss 2.1555 (2.1880)	Prec@1 42.969 (44.842)	Prec@5 71.875 (75.424)
Epoch: [46][6910/14090]	Time 0.844 (0.763)	Data 0.001 (0.002)	Loss 2.1097 (2.1879)	Prec@1 42.969 (44.844)	Prec@5 76.562 (75.427)
Epoch: [46][6920/14090]	Time 0.766 (0.763)	Data 0.001 (0.002)	Loss 2.0288 (2.1880)	Prec@1 54.688 (44.844)	Prec@5 79.688 (75.427)
Epoch: [46][6930/14090]	Time 0.764 (0.763)	Data 0.001 (0.002)	Loss 2.3178 (2.1880)	Prec@1 41.406 (44.846)	Prec@5 74.219 (75.425)
Epoch: [46][6940/14090]	Time 0.744 (0.763)	Data 0.001 (0.002)	Loss 2.0405 (2.1880)	Prec@1 42.969 (44.844)	Prec@5 80.469 (75.425)
Epoch: [46][6950/14090]	Time 0.767 (0.763)	Data 0.001 (0.002)	Loss 2.2975 (2.1880)	Prec@1 41.406 (44.843)	Prec@5 75.781 (75.425)
Epoch: [46][6960/14090]	Time 0.737 (0.763)	Data 0.001 (0.002)	Loss 2.2643 (2.1880)	Prec@1 39.844 (44.844)	Prec@5 71.875 (75.424)
Epoch: [46][6970/14090]	Time 0.754 (0.763)	Data 0.001 (0.002)	Loss 2.1358 (2.1879)	Prec@1 46.875 (44.846)	Prec@5 81.250 (75.426)
Epoch: [46][6980/14090]	Time 0.849 (0.763)	Data 0.001 (0.002)	Loss 1.9597 (2.1879)	Prec@1 44.531 (44.845)	Prec@5 80.469 (75.428)
Epoch: [46][6990/14090]	Time 0.758 (0.763)	Data 0.001 (0.002)	Loss 2.1583 (2.1880)	Prec@1 49.219 (44.844)	Prec@5 74.219 (75.426)
Epoch: [46][7000/14090]	Time 0.756 (0.763)	Data 0.001 (0.002)	Loss 2.1055 (2.1878)	Prec@1 47.656 (44.849)	Prec@5 82.031 (75.426)
Epoch: [46][7010/14090]	Time 0.754 (0.763)	Data 0.001 (0.002)	Loss 2.1339 (2.1878)	Prec@1 48.438 (44.851)	Prec@5 77.344 (75.428)
Epoch: [46][7020/14090]	Time 0.765 (0.763)	Data 0.001 (0.002)	Loss 2.3417 (2.1880)	Prec@1 42.969 (44.848)	Prec@5 69.531 (75.424)
Epoch: [46][7030/14090]	Time 0.730 (0.763)	Data 0.001 (0.002)	Loss 1.9319 (2.1879)	Prec@1 49.219 (44.850)	Prec@5 78.906 (75.425)
Epoch: [46][7040/14090]	Time 0.761 (0.763)	Data 0.001 (0.002)	Loss 2.2354 (2.1878)	Prec@1 46.094 (44.849)	Prec@5 75.781 (75.426)
Epoch: [46][7050/14090]	Time 0.861 (0.763)	Data 0.001 (0.002)	Loss 2.0420 (2.1878)	Prec@1 40.625 (44.848)	Prec@5 80.469 (75.426)
Epoch: [46][7060/14090]	Time 0.739 (0.763)	Data 0.001 (0.002)	Loss 2.3710 (2.1879)	Prec@1 40.625 (44.847)	Prec@5 72.656 (75.422)
Epoch: [46][7070/14090]	Time 0.728 (0.763)	Data 0.001 (0.002)	Loss 2.4648 (2.1880)	Prec@1 43.750 (44.846)	Prec@5 71.875 (75.421)
Epoch: [46][7080/14090]	Time 0.756 (0.763)	Data 0.001 (0.002)	Loss 2.3744 (2.1880)	Prec@1 39.844 (44.845)	Prec@5 72.656 (75.421)
Epoch: [46][7090/14090]	Time 0.727 (0.763)	Data 0.001 (0.002)	Loss 2.0823 (2.1880)	Prec@1 40.625 (44.844)	Prec@5 81.250 (75.420)
Epoch: [46][7100/14090]	Time 0.751 (0.763)	Data 0.001 (0.002)	Loss 2.5081 (2.1881)	Prec@1 37.500 (44.842)	Prec@5 67.188 (75.416)
Epoch: [46][7110/14090]	Time 0.744 (0.763)	Data 0.001 (0.002)	Loss 2.5099 (2.1882)	Prec@1 41.406 (44.841)	Prec@5 69.531 (75.413)
Epoch: [46][7120/14090]	Time 0.840 (0.763)	Data 0.001 (0.002)	Loss 2.2731 (2.1883)	Prec@1 43.750 (44.838)	Prec@5 72.656 (75.411)
Epoch: [46][7130/14090]	Time 0.747 (0.763)	Data 0.001 (0.002)	Loss 2.0090 (2.1881)	Prec@1 52.344 (44.842)	Prec@5 79.688 (75.413)
Epoch: [46][7140/14090]	Time 0.759 (0.763)	Data 0.001 (0.002)	Loss 2.1730 (2.1882)	Prec@1 47.656 (44.840)	Prec@5 72.656 (75.413)
Epoch: [46][7150/14090]	Time 0.726 (0.763)	Data 0.001 (0.002)	Loss 2.3968 (2.1883)	Prec@1 39.062 (44.837)	Prec@5 71.875 (75.411)
Epoch: [46][7160/14090]	Time 0.733 (0.763)	Data 0.001 (0.002)	Loss 2.3556 (2.1883)	Prec@1 41.406 (44.837)	Prec@5 69.531 (75.410)
Epoch: [46][7170/14090]	Time 0.767 (0.763)	Data 0.001 (0.002)	Loss 2.1091 (2.1884)	Prec@1 51.562 (44.834)	Prec@5 74.219 (75.408)
Epoch: [46][7180/14090]	Time 0.735 (0.763)	Data 0.002 (0.002)	Loss 2.4870 (2.1885)	Prec@1 40.625 (44.835)	Prec@5 68.750 (75.406)
Epoch: [46][7190/14090]	Time 0.869 (0.763)	Data 0.001 (0.002)	Loss 2.0731 (2.1886)	Prec@1 44.531 (44.833)	Prec@5 78.125 (75.405)
Epoch: [46][7200/14090]	Time 0.729 (0.763)	Data 0.001 (0.002)	Loss 1.9461 (2.1886)	Prec@1 52.344 (44.831)	Prec@5 78.125 (75.403)
Epoch: [46][7210/14090]	Time 0.748 (0.763)	Data 0.001 (0.002)	Loss 2.0981 (2.1887)	Prec@1 43.750 (44.830)	Prec@5 75.000 (75.401)
Epoch: [46][7220/14090]	Time 0.753 (0.763)	Data 0.001 (0.002)	Loss 2.1469 (2.1887)	Prec@1 44.531 (44.828)	Prec@5 75.000 (75.400)
Epoch: [46][7230/14090]	Time 0.736 (0.763)	Data 0.001 (0.002)	Loss 2.1850 (2.1887)	Prec@1 46.875 (44.828)	Prec@5 72.656 (75.401)
Epoch: [46][7240/14090]	Time 0.740 (0.763)	Data 0.001 (0.002)	Loss 2.2650 (2.1887)	Prec@1 43.750 (44.827)	Prec@5 74.219 (75.399)
Epoch: [46][7250/14090]	Time 0.739 (0.763)	Data 0.001 (0.002)	Loss 2.2145 (2.1887)	Prec@1 46.875 (44.829)	Prec@5 75.000 (75.401)
Epoch: [46][7260/14090]	Time 0.901 (0.763)	Data 0.001 (0.002)	Loss 2.0548 (2.1888)	Prec@1 46.875 (44.827)	Prec@5 79.688 (75.401)
Epoch: [46][7270/14090]	Time 0.735 (0.763)	Data 0.001 (0.002)	Loss 2.3719 (2.1887)	Prec@1 39.062 (44.827)	Prec@5 69.531 (75.402)
Epoch: [46][7280/14090]	Time 0.731 (0.763)	Data 0.001 (0.002)	Loss 2.1241 (2.1887)	Prec@1 47.656 (44.828)	Prec@5 78.906 (75.403)
Epoch: [46][7290/14090]	Time 0.760 (0.763)	Data 0.001 (0.002)	Loss 2.0803 (2.1886)	Prec@1 48.438 (44.833)	Prec@5 78.906 (75.406)
Epoch: [46][7300/14090]	Time 0.722 (0.763)	Data 0.001 (0.002)	Loss 2.3725 (2.1887)	Prec@1 36.719 (44.831)	Prec@5 76.562 (75.407)
Epoch: [46][7310/14090]	Time 0.755 (0.763)	Data 0.001 (0.002)	Loss 2.3695 (2.1886)	Prec@1 40.625 (44.833)	Prec@5 69.531 (75.405)
Epoch: [46][7320/14090]	Time 0.740 (0.763)	Data 0.001 (0.002)	Loss 1.9859 (2.1885)	Prec@1 46.094 (44.835)	Prec@5 80.469 (75.405)
Epoch: [46][7330/14090]	Time 0.859 (0.763)	Data 0.001 (0.002)	Loss 2.0770 (2.1886)	Prec@1 52.344 (44.835)	Prec@5 74.219 (75.403)
Epoch: [46][7340/14090]	Time 0.729 (0.763)	Data 0.001 (0.002)	Loss 2.2529 (2.1886)	Prec@1 46.094 (44.834)	Prec@5 73.438 (75.402)
Epoch: [46][7350/14090]	Time 0.761 (0.763)	Data 0.001 (0.002)	Loss 1.9773 (2.1885)	Prec@1 46.094 (44.837)	Prec@5 78.125 (75.404)
Epoch: [46][7360/14090]	Time 0.775 (0.763)	Data 0.001 (0.002)	Loss 2.2705 (2.1885)	Prec@1 46.094 (44.837)	Prec@5 74.219 (75.404)
Epoch: [46][7370/14090]	Time 0.743 (0.763)	Data 0.001 (0.002)	Loss 2.2502 (2.1885)	Prec@1 43.750 (44.838)	Prec@5 72.656 (75.405)
Epoch: [46][7380/14090]	Time 0.746 (0.763)	Data 0.001 (0.002)	Loss 2.0762 (2.1885)	Prec@1 46.094 (44.838)	Prec@5 75.000 (75.405)
Epoch: [46][7390/14090]	Time 0.759 (0.763)	Data 0.001 (0.002)	Loss 2.1428 (2.1885)	Prec@1 44.531 (44.836)	Prec@5 72.656 (75.404)
Epoch: [46][7400/14090]	Time 0.882 (0.763)	Data 0.001 (0.002)	Loss 2.2956 (2.1886)	Prec@1 37.500 (44.836)	Prec@5 73.438 (75.403)
Epoch: [46][7410/14090]	Time 0.755 (0.763)	Data 0.001 (0.002)	Loss 2.1881 (2.1887)	Prec@1 48.438 (44.837)	Prec@5 72.656 (75.401)
Epoch: [46][7420/14090]	Time 0.753 (0.763)	Data 0.001 (0.002)	Loss 2.2279 (2.1887)	Prec@1 43.750 (44.835)	Prec@5 75.781 (75.399)
Epoch: [46][7430/14090]	Time 0.743 (0.763)	Data 0.001 (0.002)	Loss 2.2190 (2.1887)	Prec@1 42.969 (44.836)	Prec@5 71.875 (75.400)
Epoch: [46][7440/14090]	Time 0.728 (0.763)	Data 0.001 (0.002)	Loss 2.1553 (2.1886)	Prec@1 46.875 (44.837)	Prec@5 80.469 (75.403)
Epoch: [46][7450/14090]	Time 0.757 (0.763)	Data 0.001 (0.002)	Loss 2.3396 (2.1886)	Prec@1 39.844 (44.837)	Prec@5 78.125 (75.404)
Epoch: [46][7460/14090]	Time 0.741 (0.763)	Data 0.001 (0.002)	Loss 2.4275 (2.1886)	Prec@1 32.031 (44.837)	Prec@5 69.531 (75.403)
Epoch: [46][7470/14090]	Time 0.844 (0.763)	Data 0.001 (0.002)	Loss 1.8949 (2.1885)	Prec@1 48.438 (44.839)	Prec@5 76.562 (75.402)
Epoch: [46][7480/14090]	Time 0.727 (0.763)	Data 0.001 (0.002)	Loss 2.4572 (2.1885)	Prec@1 37.500 (44.839)	Prec@5 67.969 (75.401)
Epoch: [46][7490/14090]	Time 0.745 (0.763)	Data 0.001 (0.002)	Loss 2.3305 (2.1884)	Prec@1 39.844 (44.840)	Prec@5 73.438 (75.402)
Epoch: [46][7500/14090]	Time 0.725 (0.763)	Data 0.001 (0.002)	Loss 2.2500 (2.1884)	Prec@1 40.625 (44.838)	Prec@5 78.125 (75.404)
Epoch: [46][7510/14090]	Time 0.780 (0.763)	Data 0.001 (0.002)	Loss 2.0031 (2.1884)	Prec@1 48.438 (44.838)	Prec@5 78.906 (75.404)
Epoch: [46][7520/14090]	Time 0.755 (0.763)	Data 0.001 (0.002)	Loss 2.2515 (2.1885)	Prec@1 39.844 (44.837)	Prec@5 72.656 (75.403)
Epoch: [46][7530/14090]	Time 0.764 (0.763)	Data 0.001 (0.002)	Loss 2.0504 (2.1884)	Prec@1 45.312 (44.835)	Prec@5 81.250 (75.404)
Epoch: [46][7540/14090]	Time 0.820 (0.763)	Data 0.001 (0.002)	Loss 2.2705 (2.1885)	Prec@1 38.281 (44.835)	Prec@5 72.656 (75.405)
Epoch: [46][7550/14090]	Time 0.736 (0.763)	Data 0.001 (0.002)	Loss 2.1263 (2.1885)	Prec@1 48.438 (44.835)	Prec@5 75.000 (75.403)
Epoch: [46][7560/14090]	Time 0.730 (0.763)	Data 0.001 (0.002)	Loss 2.1573 (2.1886)	Prec@1 46.875 (44.836)	Prec@5 78.125 (75.403)
Epoch: [46][7570/14090]	Time 0.747 (0.763)	Data 0.001 (0.002)	Loss 1.8318 (2.1886)	Prec@1 51.562 (44.836)	Prec@5 83.594 (75.403)
Epoch: [46][7580/14090]	Time 0.756 (0.763)	Data 0.001 (0.002)	Loss 2.2109 (2.1886)	Prec@1 45.312 (44.836)	Prec@5 78.906 (75.403)
Epoch: [46][7590/14090]	Time 0.757 (0.763)	Data 0.001 (0.002)	Loss 2.0561 (2.1885)	Prec@1 47.656 (44.838)	Prec@5 82.812 (75.404)
Epoch: [46][7600/14090]	Time 0.753 (0.763)	Data 0.001 (0.002)	Loss 2.3510 (2.1886)	Prec@1 39.844 (44.837)	Prec@5 73.438 (75.403)
Epoch: [46][7610/14090]	Time 0.871 (0.763)	Data 0.001 (0.002)	Loss 1.9991 (2.1886)	Prec@1 50.000 (44.839)	Prec@5 78.125 (75.405)
Epoch: [46][7620/14090]	Time 0.732 (0.763)	Data 0.001 (0.002)	Loss 2.1935 (2.1886)	Prec@1 40.625 (44.838)	Prec@5 75.000 (75.405)
Epoch: [46][7630/14090]	Time 0.762 (0.763)	Data 0.001 (0.002)	Loss 2.3836 (2.1887)	Prec@1 42.188 (44.838)	Prec@5 71.094 (75.403)
Epoch: [46][7640/14090]	Time 0.738 (0.763)	Data 0.001 (0.002)	Loss 2.2838 (2.1887)	Prec@1 48.438 (44.839)	Prec@5 75.781 (75.400)
Epoch: [46][7650/14090]	Time 0.725 (0.763)	Data 0.001 (0.002)	Loss 2.1045 (2.1888)	Prec@1 44.531 (44.838)	Prec@5 80.469 (75.399)
Epoch: [46][7660/14090]	Time 0.766 (0.763)	Data 0.001 (0.002)	Loss 2.1448 (2.1888)	Prec@1 46.094 (44.840)	Prec@5 75.000 (75.399)
Epoch: [46][7670/14090]	Time 0.747 (0.763)	Data 0.001 (0.002)	Loss 1.9907 (2.1887)	Prec@1 48.438 (44.842)	Prec@5 82.031 (75.402)
Epoch: [46][7680/14090]	Time 0.874 (0.763)	Data 0.001 (0.002)	Loss 2.1172 (2.1887)	Prec@1 44.531 (44.843)	Prec@5 76.562 (75.401)
Epoch: [46][7690/14090]	Time 0.746 (0.763)	Data 0.001 (0.002)	Loss 2.3375 (2.1888)	Prec@1 38.281 (44.840)	Prec@5 72.656 (75.398)
Epoch: [46][7700/14090]	Time 0.745 (0.763)	Data 0.001 (0.002)	Loss 2.1574 (2.1887)	Prec@1 50.781 (44.844)	Prec@5 74.219 (75.400)
Epoch: [46][7710/14090]	Time 0.752 (0.763)	Data 0.001 (0.002)	Loss 1.9468 (2.1887)	Prec@1 48.438 (44.845)	Prec@5 85.156 (75.403)
Epoch: [46][7720/14090]	Time 0.727 (0.763)	Data 0.001 (0.002)	Loss 2.1664 (2.1888)	Prec@1 47.656 (44.842)	Prec@5 75.781 (75.401)
Epoch: [46][7730/14090]	Time 0.747 (0.763)	Data 0.001 (0.002)	Loss 2.0761 (2.1887)	Prec@1 47.656 (44.842)	Prec@5 78.906 (75.402)
Epoch: [46][7740/14090]	Time 0.758 (0.763)	Data 0.001 (0.002)	Loss 2.3807 (2.1888)	Prec@1 42.188 (44.841)	Prec@5 71.875 (75.400)
Epoch: [46][7750/14090]	Time 0.883 (0.763)	Data 0.001 (0.002)	Loss 2.4127 (2.1890)	Prec@1 40.625 (44.836)	Prec@5 70.312 (75.396)
Epoch: [46][7760/14090]	Time 0.730 (0.763)	Data 0.001 (0.002)	Loss 2.2507 (2.1891)	Prec@1 39.844 (44.835)	Prec@5 75.781 (75.395)
Epoch: [46][7770/14090]	Time 0.766 (0.763)	Data 0.001 (0.002)	Loss 2.3292 (2.1891)	Prec@1 43.750 (44.835)	Prec@5 73.438 (75.393)
Epoch: [46][7780/14090]	Time 0.757 (0.763)	Data 0.001 (0.002)	Loss 1.9820 (2.1889)	Prec@1 48.438 (44.841)	Prec@5 78.906 (75.397)
Epoch: [46][7790/14090]	Time 0.756 (0.763)	Data 0.001 (0.002)	Loss 2.0527 (2.1889)	Prec@1 52.344 (44.843)	Prec@5 78.125 (75.396)
Epoch: [46][7800/14090]	Time 0.739 (0.763)	Data 0.001 (0.002)	Loss 2.0834 (2.1888)	Prec@1 51.562 (44.845)	Prec@5 75.000 (75.398)
Epoch: [46][7810/14090]	Time 0.737 (0.763)	Data 0.001 (0.002)	Loss 2.0487 (2.1888)	Prec@1 48.438 (44.845)	Prec@5 77.344 (75.399)
Epoch: [46][7820/14090]	Time 0.904 (0.763)	Data 0.001 (0.002)	Loss 2.2798 (2.1889)	Prec@1 44.531 (44.845)	Prec@5 73.438 (75.398)
Epoch: [46][7830/14090]	Time 0.755 (0.763)	Data 0.001 (0.002)	Loss 2.0690 (2.1888)	Prec@1 46.094 (44.846)	Prec@5 78.125 (75.399)
Epoch: [46][7840/14090]	Time 0.747 (0.763)	Data 0.001 (0.002)	Loss 2.2233 (2.1888)	Prec@1 48.438 (44.845)	Prec@5 78.906 (75.400)
Epoch: [46][7850/14090]	Time 0.736 (0.763)	Data 0.001 (0.002)	Loss 2.0343 (2.1888)	Prec@1 48.438 (44.842)	Prec@5 78.125 (75.400)
Epoch: [46][7860/14090]	Time 0.733 (0.763)	Data 0.001 (0.002)	Loss 2.1406 (2.1888)	Prec@1 46.094 (44.841)	Prec@5 78.906 (75.400)
Epoch: [46][7870/14090]	Time 0.756 (0.763)	Data 0.001 (0.002)	Loss 2.6895 (2.1889)	Prec@1 39.062 (44.841)	Prec@5 67.188 (75.399)
Epoch: [46][7880/14090]	Time 0.761 (0.763)	Data 0.001 (0.002)	Loss 2.2508 (2.1889)	Prec@1 43.750 (44.839)	Prec@5 76.562 (75.400)
Epoch: [46][7890/14090]	Time 0.830 (0.763)	Data 0.001 (0.002)	Loss 2.2000 (2.1888)	Prec@1 45.312 (44.841)	Prec@5 75.781 (75.401)
Epoch: [46][7900/14090]	Time 0.751 (0.763)	Data 0.001 (0.002)	Loss 1.9483 (2.1888)	Prec@1 50.000 (44.841)	Prec@5 78.125 (75.402)
Epoch: [46][7910/14090]	Time 0.723 (0.763)	Data 0.001 (0.002)	Loss 2.4032 (2.1889)	Prec@1 45.312 (44.841)	Prec@5 71.875 (75.398)
Epoch: [46][7920/14090]	Time 0.744 (0.763)	Data 0.001 (0.002)	Loss 2.0621 (2.1890)	Prec@1 48.438 (44.839)	Prec@5 78.906 (75.397)
Epoch: [46][7930/14090]	Time 0.758 (0.763)	Data 0.001 (0.002)	Loss 2.0861 (2.1890)	Prec@1 46.094 (44.840)	Prec@5 75.000 (75.396)
Epoch: [46][7940/14090]	Time 0.753 (0.763)	Data 0.001 (0.002)	Loss 2.0849 (2.1890)	Prec@1 42.188 (44.837)	Prec@5 78.125 (75.396)
Epoch: [46][7950/14090]	Time 0.749 (0.763)	Data 0.001 (0.002)	Loss 2.5373 (2.1890)	Prec@1 36.719 (44.836)	Prec@5 70.312 (75.396)
Epoch: [46][7960/14090]	Time 0.860 (0.763)	Data 0.001 (0.002)	Loss 2.1373 (2.1889)	Prec@1 47.656 (44.838)	Prec@5 77.344 (75.400)
Epoch: [46][7970/14090]	Time 0.735 (0.763)	Data 0.002 (0.002)	Loss 2.1558 (2.1890)	Prec@1 44.531 (44.836)	Prec@5 76.562 (75.397)
Epoch: [46][7980/14090]	Time 0.722 (0.763)	Data 0.001 (0.002)	Loss 2.2348 (2.1890)	Prec@1 41.406 (44.835)	Prec@5 73.438 (75.397)
Epoch: [46][7990/14090]	Time 0.752 (0.763)	Data 0.001 (0.002)	Loss 2.0891 (2.1891)	Prec@1 49.219 (44.834)	Prec@5 75.781 (75.395)
Epoch: [46][8000/14090]	Time 0.765 (0.763)	Data 0.001 (0.002)	Loss 2.0964 (2.1892)	Prec@1 46.094 (44.832)	Prec@5 75.000 (75.394)
Epoch: [46][8010/14090]	Time 0.771 (0.763)	Data 0.001 (0.002)	Loss 2.0952 (2.1891)	Prec@1 45.312 (44.833)	Prec@5 79.688 (75.395)
Epoch: [46][8020/14090]	Time 0.747 (0.763)	Data 0.001 (0.002)	Loss 2.2514 (2.1891)	Prec@1 45.312 (44.833)	Prec@5 75.000 (75.393)
Epoch: [46][8030/14090]	Time 0.883 (0.763)	Data 0.001 (0.002)	Loss 2.2118 (2.1891)	Prec@1 39.062 (44.832)	Prec@5 73.438 (75.394)
Epoch: [46][8040/14090]	Time 0.732 (0.763)	Data 0.001 (0.002)	Loss 2.5050 (2.1891)	Prec@1 41.406 (44.832)	Prec@5 71.875 (75.394)
Epoch: [46][8050/14090]	Time 0.772 (0.763)	Data 0.001 (0.002)	Loss 2.1300 (2.1892)	Prec@1 45.312 (44.830)	Prec@5 75.000 (75.393)
Epoch: [46][8060/14090]	Time 0.747 (0.763)	Data 0.001 (0.002)	Loss 2.1546 (2.1892)	Prec@1 40.625 (44.830)	Prec@5 74.219 (75.393)
Epoch: [46][8070/14090]	Time 0.728 (0.763)	Data 0.001 (0.002)	Loss 2.0074 (2.1891)	Prec@1 48.438 (44.831)	Prec@5 81.250 (75.396)
Epoch: [46][8080/14090]	Time 0.754 (0.763)	Data 0.001 (0.001)	Loss 2.1120 (2.1891)	Prec@1 44.531 (44.831)	Prec@5 77.344 (75.394)
Epoch: [46][8090/14090]	Time 0.723 (0.763)	Data 0.001 (0.001)	Loss 2.0036 (2.1892)	Prec@1 54.688 (44.830)	Prec@5 78.906 (75.392)
Epoch: [46][8100/14090]	Time 0.867 (0.763)	Data 0.001 (0.001)	Loss 2.0686 (2.1894)	Prec@1 47.656 (44.827)	Prec@5 79.688 (75.390)
Epoch: [46][8110/14090]	Time 0.744 (0.763)	Data 0.001 (0.001)	Loss 2.2451 (2.1893)	Prec@1 45.312 (44.828)	Prec@5 72.656 (75.389)
Epoch: [46][8120/14090]	Time 0.738 (0.763)	Data 0.001 (0.001)	Loss 2.2593 (2.1893)	Prec@1 46.875 (44.828)	Prec@5 71.875 (75.390)
Epoch: [46][8130/14090]	Time 0.741 (0.763)	Data 0.001 (0.001)	Loss 2.3402 (2.1893)	Prec@1 38.281 (44.827)	Prec@5 75.781 (75.391)
Epoch: [46][8140/14090]	Time 0.727 (0.763)	Data 0.001 (0.001)	Loss 2.1934 (2.1894)	Prec@1 41.406 (44.825)	Prec@5 71.094 (75.391)
Epoch: [46][8150/14090]	Time 0.745 (0.763)	Data 0.001 (0.001)	Loss 1.9108 (2.1894)	Prec@1 47.656 (44.821)	Prec@5 82.031 (75.393)
Epoch: [46][8160/14090]	Time 0.745 (0.763)	Data 0.001 (0.001)	Loss 2.0111 (2.1894)	Prec@1 47.656 (44.822)	Prec@5 78.906 (75.395)
Epoch: [46][8170/14090]	Time 0.883 (0.763)	Data 0.002 (0.001)	Loss 2.0801 (2.1894)	Prec@1 43.750 (44.820)	Prec@5 78.125 (75.395)
Epoch: [46][8180/14090]	Time 0.747 (0.763)	Data 0.001 (0.001)	Loss 2.4888 (2.1894)	Prec@1 42.188 (44.822)	Prec@5 69.531 (75.395)
Epoch: [46][8190/14090]	Time 0.737 (0.763)	Data 0.001 (0.001)	Loss 2.1159 (2.1894)	Prec@1 48.438 (44.823)	Prec@5 75.781 (75.395)
Epoch: [46][8200/14090]	Time 0.737 (0.763)	Data 0.001 (0.001)	Loss 2.0177 (2.1894)	Prec@1 54.688 (44.827)	Prec@5 77.344 (75.394)
Epoch: [46][8210/14090]	Time 0.751 (0.763)	Data 0.001 (0.001)	Loss 2.1851 (2.1895)	Prec@1 47.656 (44.826)	Prec@5 74.219 (75.394)
Epoch: [46][8220/14090]	Time 0.748 (0.763)	Data 0.001 (0.001)	Loss 2.2118 (2.1894)	Prec@1 46.094 (44.828)	Prec@5 75.781 (75.396)
Epoch: [46][8230/14090]	Time 0.760 (0.763)	Data 0.001 (0.001)	Loss 2.3883 (2.1893)	Prec@1 43.750 (44.832)	Prec@5 74.219 (75.399)
Epoch: [46][8240/14090]	Time 0.847 (0.763)	Data 0.001 (0.001)	Loss 2.1943 (2.1894)	Prec@1 49.219 (44.831)	Prec@5 75.000 (75.397)
Epoch: [46][8250/14090]	Time 0.740 (0.763)	Data 0.001 (0.001)	Loss 2.1733 (2.1893)	Prec@1 43.750 (44.832)	Prec@5 75.781 (75.396)
Epoch: [46][8260/14090]	Time 0.724 (0.763)	Data 0.001 (0.001)	Loss 2.1026 (2.1894)	Prec@1 46.094 (44.827)	Prec@5 75.000 (75.392)
Epoch: [46][8270/14090]	Time 0.744 (0.763)	Data 0.001 (0.001)	Loss 2.2476 (2.1895)	Prec@1 45.312 (44.826)	Prec@5 70.312 (75.391)
Epoch: [46][8280/14090]	Time 0.765 (0.763)	Data 0.001 (0.001)	Loss 2.4221 (2.1895)	Prec@1 39.062 (44.824)	Prec@5 69.531 (75.391)
Epoch: [46][8290/14090]	Time 0.730 (0.763)	Data 0.001 (0.001)	Loss 2.2689 (2.1896)	Prec@1 45.312 (44.821)	Prec@5 73.438 (75.389)
Epoch: [46][8300/14090]	Time 0.752 (0.763)	Data 0.001 (0.001)	Loss 2.2516 (2.1897)	Prec@1 46.875 (44.821)	Prec@5 76.562 (75.387)
Epoch: [46][8310/14090]	Time 0.877 (0.763)	Data 0.001 (0.001)	Loss 2.3649 (2.1898)	Prec@1 39.062 (44.819)	Prec@5 73.438 (75.387)
Epoch: [46][8320/14090]	Time 0.767 (0.763)	Data 0.001 (0.001)	Loss 2.2310 (2.1899)	Prec@1 42.188 (44.818)	Prec@5 73.438 (75.388)
Epoch: [46][8330/14090]	Time 0.762 (0.763)	Data 0.001 (0.001)	Loss 1.9804 (2.1899)	Prec@1 46.094 (44.817)	Prec@5 77.344 (75.387)
Epoch: [46][8340/14090]	Time 0.733 (0.763)	Data 0.001 (0.001)	Loss 2.0216 (2.1898)	Prec@1 50.000 (44.818)	Prec@5 78.906 (75.389)
Epoch: [46][8350/14090]	Time 0.756 (0.763)	Data 0.001 (0.001)	Loss 2.0083 (2.1898)	Prec@1 49.219 (44.818)	Prec@5 76.562 (75.387)
Epoch: [46][8360/14090]	Time 0.721 (0.763)	Data 0.001 (0.001)	Loss 1.8834 (2.1898)	Prec@1 53.906 (44.820)	Prec@5 78.906 (75.387)
Epoch: [46][8370/14090]	Time 0.748 (0.763)	Data 0.001 (0.001)	Loss 2.2399 (2.1899)	Prec@1 42.969 (44.817)	Prec@5 74.219 (75.386)
Epoch: [46][8380/14090]	Time 0.847 (0.763)	Data 0.001 (0.001)	Loss 2.2288 (2.1899)	Prec@1 42.188 (44.813)	Prec@5 76.562 (75.385)
Epoch: [46][8390/14090]	Time 0.755 (0.763)	Data 0.001 (0.001)	Loss 2.0293 (2.1900)	Prec@1 50.781 (44.813)	Prec@5 81.250 (75.384)
Epoch: [46][8400/14090]	Time 0.728 (0.763)	Data 0.001 (0.001)	Loss 2.2397 (2.1900)	Prec@1 47.656 (44.812)	Prec@5 77.344 (75.383)
Epoch: [46][8410/14090]	Time 0.786 (0.763)	Data 0.001 (0.001)	Loss 2.4038 (2.1901)	Prec@1 37.500 (44.810)	Prec@5 67.188 (75.382)
Epoch: [46][8420/14090]	Time 0.768 (0.763)	Data 0.001 (0.001)	Loss 2.3336 (2.1902)	Prec@1 40.625 (44.810)	Prec@5 73.438 (75.382)
Epoch: [46][8430/14090]	Time 0.749 (0.763)	Data 0.001 (0.001)	Loss 2.1148 (2.1902)	Prec@1 50.000 (44.810)	Prec@5 75.781 (75.381)
Epoch: [46][8440/14090]	Time 0.751 (0.763)	Data 0.001 (0.001)	Loss 2.0577 (2.1902)	Prec@1 41.406 (44.809)	Prec@5 77.344 (75.381)
Epoch: [46][8450/14090]	Time 0.852 (0.763)	Data 0.001 (0.001)	Loss 1.9592 (2.1902)	Prec@1 47.656 (44.810)	Prec@5 78.906 (75.380)
Epoch: [46][8460/14090]	Time 0.750 (0.763)	Data 0.001 (0.001)	Loss 2.3927 (2.1902)	Prec@1 44.531 (44.808)	Prec@5 74.219 (75.380)
Epoch: [46][8470/14090]	Time 0.738 (0.763)	Data 0.001 (0.001)	Loss 2.3003 (2.1903)	Prec@1 41.406 (44.805)	Prec@5 71.875 (75.378)
Epoch: [46][8480/14090]	Time 0.743 (0.763)	Data 0.001 (0.001)	Loss 2.3049 (2.1903)	Prec@1 44.531 (44.806)	Prec@5 67.969 (75.378)
Epoch: [46][8490/14090]	Time 0.738 (0.763)	Data 0.001 (0.001)	Loss 2.1423 (2.1905)	Prec@1 48.438 (44.803)	Prec@5 78.125 (75.375)
Epoch: [46][8500/14090]	Time 0.736 (0.763)	Data 0.001 (0.001)	Loss 2.2109 (2.1904)	Prec@1 39.844 (44.804)	Prec@5 68.750 (75.373)
Epoch: [46][8510/14090]	Time 0.740 (0.763)	Data 0.001 (0.001)	Loss 2.2946 (2.1904)	Prec@1 46.094 (44.804)	Prec@5 74.219 (75.375)
Epoch: [46][8520/14090]	Time 0.824 (0.763)	Data 0.001 (0.001)	Loss 1.8669 (2.1903)	Prec@1 50.781 (44.805)	Prec@5 82.031 (75.377)
Epoch: [46][8530/14090]	Time 0.742 (0.763)	Data 0.001 (0.001)	Loss 2.2472 (2.1904)	Prec@1 43.750 (44.802)	Prec@5 78.125 (75.375)
Epoch: [46][8540/14090]	Time 0.736 (0.763)	Data 0.001 (0.001)	Loss 2.3210 (2.1905)	Prec@1 42.969 (44.802)	Prec@5 73.438 (75.373)
Epoch: [46][8550/14090]	Time 0.741 (0.763)	Data 0.001 (0.001)	Loss 2.1325 (2.1905)	Prec@1 45.312 (44.800)	Prec@5 77.344 (75.372)
Epoch: [46][8560/14090]	Time 0.739 (0.763)	Data 0.001 (0.001)	Loss 2.0869 (2.1905)	Prec@1 46.875 (44.801)	Prec@5 80.469 (75.373)
Epoch: [46][8570/14090]	Time 0.767 (0.763)	Data 0.001 (0.001)	Loss 2.2105 (2.1906)	Prec@1 47.656 (44.800)	Prec@5 78.125 (75.371)
Epoch: [46][8580/14090]	Time 0.756 (0.763)	Data 0.001 (0.001)	Loss 2.4681 (2.1907)	Prec@1 35.938 (44.798)	Prec@5 71.094 (75.370)
Epoch: [46][8590/14090]	Time 0.831 (0.763)	Data 0.001 (0.001)	Loss 2.0881 (2.1906)	Prec@1 46.094 (44.801)	Prec@5 78.125 (75.372)
Epoch: [46][8600/14090]	Time 0.738 (0.763)	Data 0.001 (0.001)	Loss 2.3374 (2.1907)	Prec@1 45.312 (44.800)	Prec@5 72.656 (75.370)
Epoch: [46][8610/14090]	Time 0.748 (0.763)	Data 0.001 (0.001)	Loss 2.1908 (2.1907)	Prec@1 52.344 (44.800)	Prec@5 76.562 (75.372)
Epoch: [46][8620/14090]	Time 0.756 (0.763)	Data 0.001 (0.001)	Loss 1.8496 (2.1906)	Prec@1 51.562 (44.800)	Prec@5 81.250 (75.372)
Epoch: [46][8630/14090]	Time 0.752 (0.763)	Data 0.001 (0.001)	Loss 1.9716 (2.1906)	Prec@1 43.750 (44.800)	Prec@5 82.812 (75.374)
Epoch: [46][8640/14090]	Time 0.720 (0.763)	Data 0.001 (0.001)	Loss 2.0911 (2.1906)	Prec@1 45.312 (44.801)	Prec@5 84.375 (75.375)
Epoch: [46][8650/14090]	Time 0.736 (0.763)	Data 0.001 (0.001)	Loss 2.2796 (2.1907)	Prec@1 45.312 (44.799)	Prec@5 72.656 (75.374)
Epoch: [46][8660/14090]	Time 0.843 (0.763)	Data 0.001 (0.001)	Loss 1.9557 (2.1907)	Prec@1 53.125 (44.800)	Prec@5 78.906 (75.373)
Epoch: [46][8670/14090]	Time 0.785 (0.763)	Data 0.001 (0.001)	Loss 2.0299 (2.1907)	Prec@1 42.969 (44.796)	Prec@5 81.250 (75.373)
Epoch: [46][8680/14090]	Time 0.724 (0.763)	Data 0.001 (0.001)	Loss 2.2022 (2.1908)	Prec@1 40.625 (44.798)	Prec@5 75.000 (75.372)
Epoch: [46][8690/14090]	Time 0.750 (0.763)	Data 0.001 (0.001)	Loss 2.2063 (2.1908)	Prec@1 42.969 (44.797)	Prec@5 75.000 (75.373)
Epoch: [46][8700/14090]	Time 0.750 (0.763)	Data 0.001 (0.001)	Loss 1.8175 (2.1906)	Prec@1 47.656 (44.798)	Prec@5 79.688 (75.376)
Epoch: [46][8710/14090]	Time 0.757 (0.763)	Data 0.001 (0.001)	Loss 2.5805 (2.1906)	Prec@1 42.188 (44.799)	Prec@5 68.750 (75.376)
Epoch: [46][8720/14090]	Time 0.740 (0.763)	Data 0.001 (0.001)	Loss 2.5581 (2.1907)	Prec@1 45.312 (44.796)	Prec@5 69.531 (75.375)
Epoch: [46][8730/14090]	Time 0.854 (0.763)	Data 0.001 (0.001)	Loss 2.1553 (2.1907)	Prec@1 49.219 (44.799)	Prec@5 75.000 (75.375)
Epoch: [46][8740/14090]	Time 0.752 (0.763)	Data 0.001 (0.001)	Loss 2.5335 (2.1908)	Prec@1 35.156 (44.795)	Prec@5 67.969 (75.373)
Epoch: [46][8750/14090]	Time 0.728 (0.763)	Data 0.001 (0.001)	Loss 2.3464 (2.1908)	Prec@1 42.969 (44.795)	Prec@5 75.781 (75.374)
Epoch: [46][8760/14090]	Time 0.730 (0.763)	Data 0.001 (0.001)	Loss 2.1280 (2.1908)	Prec@1 47.656 (44.798)	Prec@5 74.219 (75.374)
Epoch: [46][8770/14090]	Time 0.787 (0.763)	Data 0.001 (0.001)	Loss 2.2056 (2.1908)	Prec@1 44.531 (44.795)	Prec@5 76.562 (75.372)
Epoch: [46][8780/14090]	Time 0.761 (0.763)	Data 0.001 (0.001)	Loss 2.2307 (2.1909)	Prec@1 42.188 (44.793)	Prec@5 68.750 (75.370)
Epoch: [46][8790/14090]	Time 0.749 (0.763)	Data 0.001 (0.001)	Loss 2.2830 (2.1909)	Prec@1 41.406 (44.792)	Prec@5 80.469 (75.370)
Epoch: [46][8800/14090]	Time 0.931 (0.763)	Data 0.002 (0.001)	Loss 2.1431 (2.1909)	Prec@1 47.656 (44.791)	Prec@5 78.125 (75.372)
Epoch: [46][8810/14090]	Time 0.771 (0.763)	Data 0.001 (0.001)	Loss 2.1269 (2.1908)	Prec@1 48.438 (44.794)	Prec@5 81.250 (75.374)
Epoch: [46][8820/14090]	Time 0.748 (0.763)	Data 0.001 (0.001)	Loss 2.0246 (2.1909)	Prec@1 48.438 (44.795)	Prec@5 80.469 (75.373)
Epoch: [46][8830/14090]	Time 0.724 (0.763)	Data 0.001 (0.001)	Loss 2.1203 (2.1909)	Prec@1 45.312 (44.795)	Prec@5 80.469 (75.372)
Epoch: [46][8840/14090]	Time 0.737 (0.763)	Data 0.001 (0.001)	Loss 2.2899 (2.1909)	Prec@1 41.406 (44.794)	Prec@5 73.438 (75.370)
Epoch: [46][8850/14090]	Time 0.764 (0.763)	Data 0.001 (0.001)	Loss 2.0202 (2.1909)	Prec@1 49.219 (44.793)	Prec@5 75.781 (75.369)
Epoch: [46][8860/14090]	Time 0.783 (0.763)	Data 0.001 (0.001)	Loss 2.2373 (2.1909)	Prec@1 51.562 (44.794)	Prec@5 77.344 (75.371)
Epoch: [46][8870/14090]	Time 0.871 (0.763)	Data 0.001 (0.001)	Loss 2.0326 (2.1910)	Prec@1 49.219 (44.793)	Prec@5 78.906 (75.370)
Epoch: [46][8880/14090]	Time 0.752 (0.763)	Data 0.001 (0.001)	Loss 2.5322 (2.1911)	Prec@1 42.188 (44.793)	Prec@5 67.969 (75.368)
Epoch: [46][8890/14090]	Time 0.761 (0.763)	Data 0.001 (0.001)	Loss 2.3866 (2.1912)	Prec@1 41.406 (44.791)	Prec@5 71.094 (75.366)
Epoch: [46][8900/14090]	Time 0.734 (0.763)	Data 0.001 (0.001)	Loss 2.2008 (2.1912)	Prec@1 40.625 (44.793)	Prec@5 70.312 (75.366)
Epoch: [46][8910/14090]	Time 0.753 (0.763)	Data 0.001 (0.001)	Loss 1.8217 (2.1911)	Prec@1 54.688 (44.794)	Prec@5 79.688 (75.366)
Epoch: [46][8920/14090]	Time 0.768 (0.763)	Data 0.001 (0.001)	Loss 2.1823 (2.1911)	Prec@1 43.750 (44.794)	Prec@5 80.469 (75.366)
Epoch: [46][8930/14090]	Time 0.755 (0.763)	Data 0.001 (0.001)	Loss 2.2747 (2.1912)	Prec@1 40.625 (44.793)	Prec@5 78.125 (75.364)
Epoch: [46][8940/14090]	Time 0.864 (0.763)	Data 0.001 (0.001)	Loss 2.3394 (2.1913)	Prec@1 39.062 (44.791)	Prec@5 72.656 (75.363)
Epoch: [46][8950/14090]	Time 0.751 (0.763)	Data 0.001 (0.001)	Loss 2.3524 (2.1913)	Prec@1 39.844 (44.790)	Prec@5 75.000 (75.365)
Epoch: [46][8960/14090]	Time 0.742 (0.763)	Data 0.001 (0.001)	Loss 2.0497 (2.1913)	Prec@1 45.312 (44.788)	Prec@5 80.469 (75.365)
Epoch: [46][8970/14090]	Time 0.745 (0.763)	Data 0.001 (0.001)	Loss 2.0407 (2.1913)	Prec@1 46.875 (44.788)	Prec@5 80.469 (75.363)
Epoch: [46][8980/14090]	Time 0.747 (0.763)	Data 0.001 (0.001)	Loss 2.2492 (2.1913)	Prec@1 41.406 (44.789)	Prec@5 73.438 (75.364)
Epoch: [46][8990/14090]	Time 0.757 (0.763)	Data 0.001 (0.001)	Loss 2.2703 (2.1913)	Prec@1 45.312 (44.788)	Prec@5 72.656 (75.364)
Epoch: [46][9000/14090]	Time 0.756 (0.763)	Data 0.001 (0.001)	Loss 2.2382 (2.1913)	Prec@1 42.969 (44.787)	Prec@5 70.312 (75.363)
Epoch: [46][9010/14090]	Time 0.824 (0.763)	Data 0.001 (0.001)	Loss 2.2461 (2.1912)	Prec@1 42.188 (44.788)	Prec@5 70.312 (75.365)
Epoch: [46][9020/14090]	Time 0.748 (0.763)	Data 0.001 (0.001)	Loss 1.9958 (2.1913)	Prec@1 48.438 (44.786)	Prec@5 75.000 (75.364)
Epoch: [46][9030/14090]	Time 0.723 (0.763)	Data 0.001 (0.001)	Loss 2.4099 (2.1912)	Prec@1 38.281 (44.787)	Prec@5 71.094 (75.366)
Epoch: [46][9040/14090]	Time 0.739 (0.763)	Data 0.001 (0.001)	Loss 2.2475 (2.1912)	Prec@1 42.969 (44.786)	Prec@5 77.344 (75.367)
Epoch: [46][9050/14090]	Time 0.726 (0.763)	Data 0.001 (0.001)	Loss 1.8981 (2.1912)	Prec@1 47.656 (44.787)	Prec@5 77.344 (75.367)
Epoch: [46][9060/14090]	Time 0.757 (0.763)	Data 0.001 (0.001)	Loss 2.2046 (2.1912)	Prec@1 40.625 (44.789)	Prec@5 74.219 (75.367)
Epoch: [46][9070/14090]	Time 0.751 (0.763)	Data 0.001 (0.001)	Loss 2.4576 (2.1912)	Prec@1 40.625 (44.789)	Prec@5 71.875 (75.366)
Epoch: [46][9080/14090]	Time 0.834 (0.763)	Data 0.001 (0.001)	Loss 1.9902 (2.1913)	Prec@1 45.312 (44.788)	Prec@5 79.688 (75.365)
Epoch: [46][9090/14090]	Time 0.744 (0.763)	Data 0.001 (0.001)	Loss 2.2732 (2.1912)	Prec@1 39.062 (44.790)	Prec@5 72.656 (75.364)
Epoch: [46][9100/14090]	Time 0.753 (0.763)	Data 0.001 (0.001)	Loss 2.1825 (2.1912)	Prec@1 48.438 (44.792)	Prec@5 77.344 (75.364)
Epoch: [46][9110/14090]	Time 0.762 (0.763)	Data 0.001 (0.001)	Loss 2.2813 (2.1912)	Prec@1 38.281 (44.791)	Prec@5 78.125 (75.365)
Epoch: [46][9120/14090]	Time 0.744 (0.763)	Data 0.001 (0.001)	Loss 2.0533 (2.1912)	Prec@1 50.000 (44.791)	Prec@5 79.688 (75.365)
Epoch: [46][9130/14090]	Time 0.731 (0.763)	Data 0.001 (0.001)	Loss 2.3451 (2.1911)	Prec@1 47.656 (44.793)	Prec@5 70.312 (75.367)
Epoch: [46][9140/14090]	Time 0.725 (0.763)	Data 0.001 (0.001)	Loss 2.6411 (2.1911)	Prec@1 39.062 (44.793)	Prec@5 64.062 (75.365)
Epoch: [46][9150/14090]	Time 0.860 (0.763)	Data 0.001 (0.001)	Loss 2.2777 (2.1911)	Prec@1 39.062 (44.792)	Prec@5 73.438 (75.367)
Epoch: [46][9160/14090]	Time 0.729 (0.763)	Data 0.001 (0.001)	Loss 2.5409 (2.1912)	Prec@1 32.812 (44.789)	Prec@5 68.750 (75.365)
Epoch: [46][9170/14090]	Time 0.740 (0.763)	Data 0.001 (0.001)	Loss 2.2667 (2.1913)	Prec@1 41.406 (44.787)	Prec@5 79.688 (75.365)
Epoch: [46][9180/14090]	Time 0.760 (0.763)	Data 0.001 (0.001)	Loss 2.0350 (2.1912)	Prec@1 46.094 (44.789)	Prec@5 77.344 (75.365)
Epoch: [46][9190/14090]	Time 0.740 (0.763)	Data 0.001 (0.001)	Loss 2.1458 (2.1913)	Prec@1 46.875 (44.785)	Prec@5 75.781 (75.364)
Epoch: [46][9200/14090]	Time 0.779 (0.763)	Data 0.001 (0.001)	Loss 2.5766 (2.1914)	Prec@1 29.688 (44.781)	Prec@5 69.531 (75.361)
Epoch: [46][9210/14090]	Time 0.718 (0.763)	Data 0.001 (0.001)	Loss 2.1376 (2.1915)	Prec@1 42.969 (44.781)	Prec@5 79.688 (75.359)
Epoch: [46][9220/14090]	Time 0.912 (0.763)	Data 0.001 (0.001)	Loss 2.2324 (2.1916)	Prec@1 39.062 (44.780)	Prec@5 77.344 (75.357)
Epoch: [46][9230/14090]	Time 0.764 (0.763)	Data 0.001 (0.001)	Loss 2.1220 (2.1915)	Prec@1 46.875 (44.781)	Prec@5 75.000 (75.358)
Epoch: [46][9240/14090]	Time 0.735 (0.763)	Data 0.001 (0.001)	Loss 2.2587 (2.1916)	Prec@1 43.750 (44.779)	Prec@5 76.562 (75.356)
Epoch: [46][9250/14090]	Time 0.756 (0.763)	Data 0.001 (0.001)	Loss 2.1750 (2.1917)	Prec@1 42.969 (44.779)	Prec@5 78.125 (75.356)
Epoch: [46][9260/14090]	Time 0.726 (0.763)	Data 0.001 (0.001)	Loss 2.1994 (2.1916)	Prec@1 45.312 (44.780)	Prec@5 76.562 (75.358)
Epoch: [46][9270/14090]	Time 0.764 (0.763)	Data 0.001 (0.001)	Loss 2.3514 (2.1916)	Prec@1 42.969 (44.782)	Prec@5 70.312 (75.358)
Epoch: [46][9280/14090]	Time 0.735 (0.763)	Data 0.001 (0.001)	Loss 2.0566 (2.1916)	Prec@1 50.000 (44.782)	Prec@5 77.344 (75.357)
Epoch: [46][9290/14090]	Time 0.837 (0.763)	Data 0.001 (0.001)	Loss 2.1125 (2.1917)	Prec@1 44.531 (44.779)	Prec@5 78.906 (75.357)
Epoch: [46][9300/14090]	Time 0.743 (0.763)	Data 0.001 (0.001)	Loss 2.4472 (2.1916)	Prec@1 39.062 (44.779)	Prec@5 71.094 (75.357)
Epoch: [46][9310/14090]	Time 0.742 (0.763)	Data 0.001 (0.001)	Loss 2.3504 (2.1915)	Prec@1 42.969 (44.780)	Prec@5 75.781 (75.360)
Epoch: [46][9320/14090]	Time 0.770 (0.763)	Data 0.001 (0.001)	Loss 2.1917 (2.1917)	Prec@1 42.969 (44.776)	Prec@5 76.562 (75.357)
Epoch: [46][9330/14090]	Time 0.775 (0.763)	Data 0.001 (0.001)	Loss 2.1161 (2.1918)	Prec@1 42.188 (44.776)	Prec@5 78.906 (75.355)
Epoch: [46][9340/14090]	Time 0.730 (0.763)	Data 0.001 (0.001)	Loss 1.9626 (2.1918)	Prec@1 49.219 (44.775)	Prec@5 75.781 (75.354)
Epoch: [46][9350/14090]	Time 0.749 (0.763)	Data 0.001 (0.001)	Loss 2.2521 (2.1919)	Prec@1 43.750 (44.772)	Prec@5 73.438 (75.353)
Epoch: [46][9360/14090]	Time 0.912 (0.763)	Data 0.001 (0.001)	Loss 2.4689 (2.1919)	Prec@1 41.406 (44.774)	Prec@5 73.438 (75.354)
Epoch: [46][9370/14090]	Time 0.733 (0.763)	Data 0.001 (0.001)	Loss 2.1809 (2.1919)	Prec@1 48.438 (44.773)	Prec@5 73.438 (75.353)
Epoch: [46][9380/14090]	Time 0.767 (0.763)	Data 0.001 (0.001)	Loss 2.2889 (2.1920)	Prec@1 45.312 (44.774)	Prec@5 72.656 (75.352)
Epoch: [46][9390/14090]	Time 0.729 (0.763)	Data 0.001 (0.001)	Loss 2.1966 (2.1920)	Prec@1 55.469 (44.774)	Prec@5 72.656 (75.349)
Epoch: [46][9400/14090]	Time 0.751 (0.763)	Data 0.001 (0.001)	Loss 2.2755 (2.1920)	Prec@1 41.406 (44.773)	Prec@5 71.875 (75.350)
Epoch: [46][9410/14090]	Time 0.748 (0.763)	Data 0.001 (0.001)	Loss 2.0341 (2.1919)	Prec@1 50.000 (44.773)	Prec@5 79.688 (75.353)
Epoch: [46][9420/14090]	Time 0.728 (0.763)	Data 0.001 (0.001)	Loss 2.2944 (2.1919)	Prec@1 39.844 (44.773)	Prec@5 77.344 (75.353)
Epoch: [46][9430/14090]	Time 0.811 (0.763)	Data 0.001 (0.001)	Loss 1.8698 (2.1919)	Prec@1 52.344 (44.773)	Prec@5 81.250 (75.353)
Epoch: [46][9440/14090]	Time 0.751 (0.763)	Data 0.001 (0.001)	Loss 2.4578 (2.1920)	Prec@1 43.750 (44.771)	Prec@5 73.438 (75.352)
Epoch: [46][9450/14090]	Time 0.743 (0.763)	Data 0.001 (0.001)	Loss 2.3385 (2.1920)	Prec@1 38.281 (44.770)	Prec@5 71.094 (75.353)
Epoch: [46][9460/14090]	Time 0.732 (0.763)	Data 0.001 (0.001)	Loss 2.3433 (2.1919)	Prec@1 42.188 (44.772)	Prec@5 71.875 (75.354)
Epoch: [46][9470/14090]	Time 0.741 (0.763)	Data 0.001 (0.001)	Loss 2.1716 (2.1919)	Prec@1 42.969 (44.770)	Prec@5 78.125 (75.357)
Epoch: [46][9480/14090]	Time 0.745 (0.763)	Data 0.001 (0.001)	Loss 2.3234 (2.1920)	Prec@1 42.188 (44.768)	Prec@5 75.781 (75.355)
Epoch: [46][9490/14090]	Time 0.767 (0.763)	Data 0.001 (0.001)	Loss 1.8956 (2.1918)	Prec@1 51.562 (44.772)	Prec@5 81.250 (75.357)
Epoch: [46][9500/14090]	Time 0.842 (0.763)	Data 0.001 (0.001)	Loss 2.3790 (2.1919)	Prec@1 41.406 (44.770)	Prec@5 69.531 (75.355)
Epoch: [46][9510/14090]	Time 0.759 (0.763)	Data 0.001 (0.001)	Loss 2.0497 (2.1919)	Prec@1 49.219 (44.769)	Prec@5 79.688 (75.354)
Epoch: [46][9520/14090]	Time 0.757 (0.763)	Data 0.001 (0.001)	Loss 2.3494 (2.1919)	Prec@1 43.750 (44.772)	Prec@5 71.094 (75.355)
Epoch: [46][9530/14090]	Time 0.731 (0.763)	Data 0.001 (0.001)	Loss 2.3291 (2.1920)	Prec@1 40.625 (44.770)	Prec@5 74.219 (75.353)
Epoch: [46][9540/14090]	Time 0.731 (0.763)	Data 0.001 (0.001)	Loss 1.9286 (2.1920)	Prec@1 54.688 (44.770)	Prec@5 77.344 (75.353)
Epoch: [46][9550/14090]	Time 0.734 (0.763)	Data 0.001 (0.001)	Loss 2.1337 (2.1920)	Prec@1 44.531 (44.771)	Prec@5 78.125 (75.353)
Epoch: [46][9560/14090]	Time 0.742 (0.763)	Data 0.001 (0.001)	Loss 2.2712 (2.1921)	Prec@1 42.969 (44.769)	Prec@5 71.094 (75.353)
Epoch: [46][9570/14090]	Time 0.871 (0.763)	Data 0.001 (0.001)	Loss 2.2485 (2.1920)	Prec@1 48.438 (44.771)	Prec@5 74.219 (75.354)
Epoch: [46][9580/14090]	Time 0.743 (0.763)	Data 0.001 (0.001)	Loss 2.1808 (2.1921)	Prec@1 46.875 (44.772)	Prec@5 72.656 (75.355)
Epoch: [46][9590/14090]	Time 0.748 (0.763)	Data 0.001 (0.001)	Loss 2.1176 (2.1921)	Prec@1 46.094 (44.771)	Prec@5 75.000 (75.354)
Epoch: [46][9600/14090]	Time 0.734 (0.763)	Data 0.001 (0.001)	Loss 2.3674 (2.1920)	Prec@1 40.625 (44.772)	Prec@5 74.219 (75.357)
Epoch: [46][9610/14090]	Time 0.744 (0.763)	Data 0.001 (0.001)	Loss 2.2404 (2.1920)	Prec@1 42.969 (44.772)	Prec@5 78.125 (75.357)
Epoch: [46][9620/14090]	Time 0.766 (0.763)	Data 0.001 (0.001)	Loss 2.3256 (2.1921)	Prec@1 42.969 (44.770)	Prec@5 75.000 (75.355)
Epoch: [46][9630/14090]	Time 0.782 (0.763)	Data 0.001 (0.001)	Loss 2.2004 (2.1921)	Prec@1 41.406 (44.771)	Prec@5 78.906 (75.357)
Epoch: [46][9640/14090]	Time 0.864 (0.763)	Data 0.001 (0.001)	Loss 2.3728 (2.1921)	Prec@1 46.094 (44.770)	Prec@5 73.438 (75.358)
Epoch: [46][9650/14090]	Time 0.737 (0.763)	Data 0.001 (0.001)	Loss 2.1158 (2.1921)	Prec@1 47.656 (44.772)	Prec@5 80.469 (75.358)
Epoch: [46][9660/14090]	Time 0.737 (0.763)	Data 0.001 (0.001)	Loss 2.3291 (2.1921)	Prec@1 40.625 (44.770)	Prec@5 74.219 (75.357)
Epoch: [46][9670/14090]	Time 0.721 (0.763)	Data 0.001 (0.001)	Loss 2.2240 (2.1921)	Prec@1 45.312 (44.769)	Prec@5 73.438 (75.356)
Epoch: [46][9680/14090]	Time 0.734 (0.763)	Data 0.001 (0.001)	Loss 1.8043 (2.1920)	Prec@1 53.125 (44.771)	Prec@5 78.906 (75.358)
Epoch: [46][9690/14090]	Time 0.758 (0.763)	Data 0.001 (0.001)	Loss 1.8516 (2.1919)	Prec@1 50.000 (44.774)	Prec@5 85.156 (75.361)
Epoch: [46][9700/14090]	Time 0.749 (0.763)	Data 0.001 (0.001)	Loss 2.0005 (2.1919)	Prec@1 50.000 (44.774)	Prec@5 80.469 (75.362)
Epoch: [46][9710/14090]	Time 0.869 (0.763)	Data 0.001 (0.001)	Loss 2.0443 (2.1918)	Prec@1 45.312 (44.774)	Prec@5 76.562 (75.364)
Epoch: [46][9720/14090]	Time 0.732 (0.763)	Data 0.001 (0.001)	Loss 2.3228 (2.1919)	Prec@1 40.625 (44.771)	Prec@5 70.312 (75.362)
Epoch: [46][9730/14090]	Time 0.748 (0.763)	Data 0.001 (0.001)	Loss 2.3348 (2.1919)	Prec@1 43.750 (44.771)	Prec@5 71.875 (75.360)
Epoch: [46][9740/14090]	Time 0.756 (0.763)	Data 0.001 (0.001)	Loss 2.0573 (2.1920)	Prec@1 49.219 (44.769)	Prec@5 80.469 (75.359)
Epoch: [46][9750/14090]	Time 0.779 (0.763)	Data 0.001 (0.001)	Loss 2.1005 (2.1920)	Prec@1 41.406 (44.768)	Prec@5 78.906 (75.359)
Epoch: [46][9760/14090]	Time 0.746 (0.763)	Data 0.001 (0.001)	Loss 2.3470 (2.1920)	Prec@1 41.406 (44.768)	Prec@5 75.781 (75.360)
Epoch: [46][9770/14090]	Time 0.739 (0.763)	Data 0.001 (0.001)	Loss 2.6350 (2.1920)	Prec@1 39.844 (44.767)	Prec@5 67.969 (75.359)
Epoch: [46][9780/14090]	Time 0.869 (0.763)	Data 0.001 (0.001)	Loss 2.2183 (2.1920)	Prec@1 43.750 (44.767)	Prec@5 72.656 (75.359)
Epoch: [46][9790/14090]	Time 0.737 (0.763)	Data 0.001 (0.001)	Loss 2.2616 (2.1920)	Prec@1 38.281 (44.764)	Prec@5 72.656 (75.356)
Epoch: [46][9800/14090]	Time 0.738 (0.763)	Data 0.001 (0.001)	Loss 2.1923 (2.1921)	Prec@1 46.094 (44.760)	Prec@5 71.875 (75.354)
Epoch: [46][9810/14090]	Time 0.724 (0.763)	Data 0.001 (0.001)	Loss 2.0799 (2.1921)	Prec@1 46.094 (44.762)	Prec@5 75.000 (75.354)
Epoch: [46][9820/14090]	Time 0.757 (0.763)	Data 0.001 (0.001)	Loss 2.2393 (2.1921)	Prec@1 44.531 (44.762)	Prec@5 75.000 (75.353)
Epoch: [46][9830/14090]	Time 0.753 (0.763)	Data 0.001 (0.001)	Loss 2.1130 (2.1922)	Prec@1 46.875 (44.760)	Prec@5 75.000 (75.351)
Epoch: [46][9840/14090]	Time 0.761 (0.763)	Data 0.001 (0.001)	Loss 2.3054 (2.1923)	Prec@1 42.969 (44.756)	Prec@5 76.562 (75.348)
Epoch: [46][9850/14090]	Time 0.883 (0.763)	Data 0.001 (0.001)	Loss 2.2972 (2.1923)	Prec@1 44.531 (44.755)	Prec@5 75.000 (75.348)
Epoch: [46][9860/14090]	Time 0.736 (0.763)	Data 0.001 (0.001)	Loss 2.3790 (2.1924)	Prec@1 40.625 (44.756)	Prec@5 76.562 (75.348)
Epoch: [46][9870/14090]	Time 0.731 (0.763)	Data 0.001 (0.001)	Loss 2.2327 (2.1924)	Prec@1 46.875 (44.754)	Prec@5 75.781 (75.349)
Epoch: [46][9880/14090]	Time 0.776 (0.763)	Data 0.001 (0.001)	Loss 2.2821 (2.1925)	Prec@1 41.406 (44.754)	Prec@5 71.875 (75.347)
Epoch: [46][9890/14090]	Time 0.745 (0.763)	Data 0.001 (0.001)	Loss 2.2707 (2.1925)	Prec@1 38.281 (44.752)	Prec@5 73.438 (75.347)
Epoch: [46][9900/14090]	Time 0.762 (0.763)	Data 0.001 (0.001)	Loss 2.1058 (2.1926)	Prec@1 46.094 (44.751)	Prec@5 75.000 (75.346)
Epoch: [46][9910/14090]	Time 0.749 (0.763)	Data 0.001 (0.001)	Loss 2.3741 (2.1926)	Prec@1 43.750 (44.750)	Prec@5 75.781 (75.345)
Epoch: [46][9920/14090]	Time 0.872 (0.763)	Data 0.001 (0.001)	Loss 1.7179 (2.1926)	Prec@1 53.906 (44.752)	Prec@5 82.812 (75.345)
Epoch: [46][9930/14090]	Time 0.735 (0.763)	Data 0.001 (0.001)	Loss 2.1960 (2.1926)	Prec@1 50.000 (44.754)	Prec@5 72.656 (75.344)
Epoch: [46][9940/14090]	Time 0.755 (0.763)	Data 0.001 (0.001)	Loss 2.3323 (2.1926)	Prec@1 40.625 (44.752)	Prec@5 78.125 (75.345)
Epoch: [46][9950/14090]	Time 0.768 (0.763)	Data 0.001 (0.001)	Loss 1.9000 (2.1926)	Prec@1 43.750 (44.753)	Prec@5 85.156 (75.343)
Epoch: [46][9960/14090]	Time 0.759 (0.763)	Data 0.001 (0.001)	Loss 2.4163 (2.1927)	Prec@1 45.312 (44.752)	Prec@5 71.875 (75.341)
Epoch: [46][9970/14090]	Time 0.766 (0.763)	Data 0.001 (0.001)	Loss 2.2933 (2.1928)	Prec@1 44.531 (44.750)	Prec@5 72.656 (75.339)
Epoch: [46][9980/14090]	Time 0.751 (0.763)	Data 0.001 (0.001)	Loss 2.3949 (2.1928)	Prec@1 42.188 (44.750)	Prec@5 68.750 (75.339)
Epoch: [46][9990/14090]	Time 0.867 (0.763)	Data 0.001 (0.001)	Loss 2.2343 (2.1928)	Prec@1 41.406 (44.750)	Prec@5 76.562 (75.340)
Epoch: [46][10000/14090]	Time 0.742 (0.763)	Data 0.001 (0.001)	Loss 2.0048 (2.1927)	Prec@1 50.000 (44.749)	Prec@5 78.125 (75.342)
Epoch: [46][10010/14090]	Time 0.752 (0.763)	Data 0.001 (0.001)	Loss 2.2957 (2.1928)	Prec@1 46.875 (44.750)	Prec@5 71.875 (75.339)
Epoch: [46][10020/14090]	Time 0.754 (0.763)	Data 0.001 (0.001)	Loss 2.0252 (2.1928)	Prec@1 49.219 (44.749)	Prec@5 80.469 (75.340)
Epoch: [46][10030/14090]	Time 0.751 (0.763)	Data 0.001 (0.001)	Loss 2.1279 (2.1927)	Prec@1 46.094 (44.753)	Prec@5 77.344 (75.341)
Epoch: [46][10040/14090]	Time 0.753 (0.763)	Data 0.001 (0.001)	Loss 2.2823 (2.1928)	Prec@1 39.062 (44.752)	Prec@5 77.344 (75.340)
Epoch: [46][10050/14090]	Time 0.775 (0.763)	Data 0.001 (0.001)	Loss 2.2687 (2.1928)	Prec@1 42.969 (44.752)	Prec@5 71.094 (75.339)
Epoch: [46][10060/14090]	Time 0.873 (0.763)	Data 0.001 (0.001)	Loss 2.5259 (2.1929)	Prec@1 35.938 (44.751)	Prec@5 61.719 (75.336)
Epoch: [46][10070/14090]	Time 0.743 (0.763)	Data 0.001 (0.001)	Loss 2.4107 (2.1929)	Prec@1 42.188 (44.751)	Prec@5 71.094 (75.335)
Epoch: [46][10080/14090]	Time 0.745 (0.763)	Data 0.001 (0.001)	Loss 1.8919 (2.1929)	Prec@1 54.688 (44.750)	Prec@5 79.688 (75.335)
Epoch: [46][10090/14090]	Time 0.750 (0.763)	Data 0.001 (0.001)	Loss 2.1549 (2.1930)	Prec@1 54.688 (44.750)	Prec@5 80.469 (75.334)
Epoch: [46][10100/14090]	Time 0.730 (0.763)	Data 0.001 (0.001)	Loss 2.2946 (2.1930)	Prec@1 43.750 (44.751)	Prec@5 71.875 (75.335)
Epoch: [46][10110/14090]	Time 0.755 (0.763)	Data 0.001 (0.001)	Loss 2.1230 (2.1929)	Prec@1 41.406 (44.752)	Prec@5 76.562 (75.336)
Epoch: [46][10120/14090]	Time 0.747 (0.763)	Data 0.001 (0.001)	Loss 2.1508 (2.1929)	Prec@1 40.625 (44.753)	Prec@5 76.562 (75.336)
Epoch: [46][10130/14090]	Time 0.883 (0.763)	Data 0.001 (0.001)	Loss 2.2358 (2.1928)	Prec@1 45.312 (44.753)	Prec@5 73.438 (75.336)
Epoch: [46][10140/14090]	Time 0.735 (0.763)	Data 0.001 (0.001)	Loss 2.1834 (2.1929)	Prec@1 43.750 (44.750)	Prec@5 75.000 (75.335)
Epoch: [46][10150/14090]	Time 0.754 (0.763)	Data 0.001 (0.001)	Loss 1.8667 (2.1929)	Prec@1 50.781 (44.750)	Prec@5 81.250 (75.336)
Epoch: [46][10160/14090]	Time 0.736 (0.763)	Data 0.001 (0.001)	Loss 2.2083 (2.1929)	Prec@1 48.438 (44.749)	Prec@5 75.781 (75.337)
Epoch: [46][10170/14090]	Time 0.762 (0.763)	Data 0.001 (0.001)	Loss 2.0818 (2.1929)	Prec@1 50.781 (44.750)	Prec@5 76.562 (75.337)
Epoch: [46][10180/14090]	Time 0.749 (0.763)	Data 0.001 (0.001)	Loss 2.2913 (2.1930)	Prec@1 42.969 (44.747)	Prec@5 70.312 (75.335)
Epoch: [46][10190/14090]	Time 0.756 (0.763)	Data 0.001 (0.001)	Loss 2.2915 (2.1930)	Prec@1 39.844 (44.747)	Prec@5 77.344 (75.335)
Epoch: [46][10200/14090]	Time 0.834 (0.763)	Data 0.001 (0.001)	Loss 2.4520 (2.1930)	Prec@1 42.188 (44.746)	Prec@5 69.531 (75.333)
Epoch: [46][10210/14090]	Time 0.744 (0.763)	Data 0.001 (0.001)	Loss 2.0881 (2.1930)	Prec@1 45.312 (44.746)	Prec@5 71.875 (75.333)
Epoch: [46][10220/14090]	Time 0.734 (0.763)	Data 0.001 (0.001)	Loss 2.1490 (2.1931)	Prec@1 50.781 (44.745)	Prec@5 73.438 (75.331)
Epoch: [46][10230/14090]	Time 0.764 (0.763)	Data 0.001 (0.001)	Loss 2.3871 (2.1931)	Prec@1 41.406 (44.745)	Prec@5 69.531 (75.332)
Epoch: [46][10240/14090]	Time 0.728 (0.763)	Data 0.001 (0.001)	Loss 2.2201 (2.1931)	Prec@1 39.844 (44.745)	Prec@5 73.438 (75.331)
Epoch: [46][10250/14090]	Time 0.763 (0.763)	Data 0.001 (0.001)	Loss 2.2246 (2.1931)	Prec@1 42.969 (44.743)	Prec@5 74.219 (75.331)
Epoch: [46][10260/14090]	Time 0.749 (0.763)	Data 0.001 (0.001)	Loss 2.4067 (2.1931)	Prec@1 35.938 (44.742)	Prec@5 75.000 (75.332)
Epoch: [46][10270/14090]	Time 0.830 (0.763)	Data 0.001 (0.001)	Loss 2.1097 (2.1931)	Prec@1 44.531 (44.743)	Prec@5 74.219 (75.331)
Epoch: [46][10280/14090]	Time 0.728 (0.763)	Data 0.001 (0.001)	Loss 2.3600 (2.1932)	Prec@1 40.625 (44.741)	Prec@5 70.312 (75.330)
Epoch: [46][10290/14090]	Time 0.738 (0.763)	Data 0.001 (0.001)	Loss 2.0021 (2.1931)	Prec@1 47.656 (44.744)	Prec@5 78.906 (75.334)
Epoch: [46][10300/14090]	Time 0.722 (0.763)	Data 0.001 (0.001)	Loss 2.6861 (2.1931)	Prec@1 31.250 (44.741)	Prec@5 67.188 (75.332)
Epoch: [46][10310/14090]	Time 0.754 (0.763)	Data 0.001 (0.001)	Loss 2.3241 (2.1932)	Prec@1 40.625 (44.741)	Prec@5 73.438 (75.330)
Epoch: [46][10320/14090]	Time 0.742 (0.763)	Data 0.001 (0.001)	Loss 2.5948 (2.1932)	Prec@1 35.938 (44.742)	Prec@5 71.875 (75.332)
Epoch: [46][10330/14090]	Time 0.728 (0.763)	Data 0.001 (0.001)	Loss 2.1548 (2.1932)	Prec@1 40.625 (44.742)	Prec@5 73.438 (75.330)
Epoch: [46][10340/14090]	Time 0.868 (0.763)	Data 0.001 (0.001)	Loss 2.5546 (2.1932)	Prec@1 36.719 (44.741)	Prec@5 73.438 (75.331)
Epoch: [46][10350/14090]	Time 0.753 (0.763)	Data 0.001 (0.001)	Loss 2.1243 (2.1932)	Prec@1 44.531 (44.741)	Prec@5 72.656 (75.331)
Epoch: [46][10360/14090]	Time 0.742 (0.763)	Data 0.001 (0.001)	Loss 2.0404 (2.1932)	Prec@1 50.000 (44.740)	Prec@5 79.688 (75.332)
Epoch: [46][10370/14090]	Time 0.752 (0.763)	Data 0.001 (0.001)	Loss 2.0045 (2.1931)	Prec@1 49.219 (44.741)	Prec@5 78.906 (75.332)
Epoch: [46][10380/14090]	Time 0.729 (0.763)	Data 0.001 (0.001)	Loss 2.0707 (2.1931)	Prec@1 45.312 (44.742)	Prec@5 78.125 (75.333)
Epoch: [46][10390/14090]	Time 0.755 (0.763)	Data 0.001 (0.001)	Loss 2.1226 (2.1931)	Prec@1 48.438 (44.743)	Prec@5 76.562 (75.333)
Epoch: [46][10400/14090]	Time 0.735 (0.763)	Data 0.001 (0.001)	Loss 2.0336 (2.1931)	Prec@1 48.438 (44.743)	Prec@5 79.688 (75.334)
Epoch: [46][10410/14090]	Time 0.838 (0.763)	Data 0.001 (0.001)	Loss 2.1811 (2.1931)	Prec@1 44.531 (44.742)	Prec@5 77.344 (75.336)
Epoch: [46][10420/14090]	Time 0.741 (0.763)	Data 0.001 (0.001)	Loss 2.1039 (2.1931)	Prec@1 41.406 (44.741)	Prec@5 81.250 (75.335)
Epoch: [46][10430/14090]	Time 0.756 (0.763)	Data 0.001 (0.001)	Loss 2.2826 (2.1931)	Prec@1 43.750 (44.742)	Prec@5 71.875 (75.334)
Epoch: [46][10440/14090]	Time 0.778 (0.763)	Data 0.001 (0.001)	Loss 2.0948 (2.1931)	Prec@1 44.531 (44.740)	Prec@5 78.125 (75.333)
Epoch: [46][10450/14090]	Time 0.753 (0.763)	Data 0.001 (0.001)	Loss 1.9516 (2.1931)	Prec@1 50.781 (44.740)	Prec@5 77.344 (75.334)
Epoch: [46][10460/14090]	Time 0.752 (0.763)	Data 0.001 (0.001)	Loss 2.4113 (2.1931)	Prec@1 43.750 (44.739)	Prec@5 73.438 (75.333)
Epoch: [46][10470/14090]	Time 0.769 (0.763)	Data 0.001 (0.001)	Loss 2.0205 (2.1931)	Prec@1 48.438 (44.742)	Prec@5 82.812 (75.335)
Epoch: [46][10480/14090]	Time 0.875 (0.763)	Data 0.001 (0.001)	Loss 2.1666 (2.1931)	Prec@1 41.406 (44.744)	Prec@5 79.688 (75.335)
Epoch: [46][10490/14090]	Time 0.723 (0.763)	Data 0.001 (0.001)	Loss 2.1856 (2.1931)	Prec@1 46.875 (44.744)	Prec@5 73.438 (75.334)
Epoch: [46][10500/14090]	Time 0.733 (0.763)	Data 0.001 (0.001)	Loss 2.0035 (2.1930)	Prec@1 50.781 (44.747)	Prec@5 78.906 (75.337)
Epoch: [46][10510/14090]	Time 0.736 (0.763)	Data 0.001 (0.001)	Loss 2.1745 (2.1930)	Prec@1 42.969 (44.747)	Prec@5 78.125 (75.339)
Epoch: [46][10520/14090]	Time 0.748 (0.763)	Data 0.001 (0.001)	Loss 2.2997 (2.1929)	Prec@1 44.531 (44.747)	Prec@5 74.219 (75.339)
Epoch: [46][10530/14090]	Time 0.767 (0.763)	Data 0.001 (0.001)	Loss 2.0778 (2.1929)	Prec@1 42.969 (44.747)	Prec@5 76.562 (75.341)
Epoch: [46][10540/14090]	Time 0.751 (0.763)	Data 0.001 (0.001)	Loss 1.7858 (2.1928)	Prec@1 50.000 (44.745)	Prec@5 85.938 (75.340)
Epoch: [46][10550/14090]	Time 0.829 (0.763)	Data 0.001 (0.001)	Loss 2.0152 (2.1928)	Prec@1 51.562 (44.747)	Prec@5 76.562 (75.340)
Epoch: [46][10560/14090]	Time 0.735 (0.763)	Data 0.001 (0.001)	Loss 2.3772 (2.1929)	Prec@1 40.625 (44.745)	Prec@5 77.344 (75.340)
Epoch: [46][10570/14090]	Time 0.757 (0.763)	Data 0.001 (0.001)	Loss 1.7451 (2.1928)	Prec@1 54.688 (44.750)	Prec@5 84.375 (75.342)
Epoch: [46][10580/14090]	Time 0.741 (0.763)	Data 0.001 (0.001)	Loss 2.2586 (2.1928)	Prec@1 45.312 (44.749)	Prec@5 76.562 (75.344)
Epoch: [46][10590/14090]	Time 0.754 (0.763)	Data 0.001 (0.001)	Loss 2.3151 (2.1928)	Prec@1 40.625 (44.750)	Prec@5 77.344 (75.343)
Epoch: [46][10600/14090]	Time 0.734 (0.763)	Data 0.001 (0.001)	Loss 2.2040 (2.1928)	Prec@1 45.312 (44.750)	Prec@5 75.000 (75.343)
Epoch: [46][10610/14090]	Time 0.751 (0.763)	Data 0.001 (0.001)	Loss 2.3821 (2.1928)	Prec@1 40.625 (44.750)	Prec@5 73.438 (75.344)
Epoch: [46][10620/14090]	Time 0.865 (0.763)	Data 0.001 (0.001)	Loss 2.4425 (2.1928)	Prec@1 38.281 (44.750)	Prec@5 69.531 (75.344)
Epoch: [46][10630/14090]	Time 0.749 (0.763)	Data 0.001 (0.001)	Loss 2.0581 (2.1927)	Prec@1 46.094 (44.752)	Prec@5 74.219 (75.345)
Epoch: [46][10640/14090]	Time 0.732 (0.763)	Data 0.001 (0.001)	Loss 2.1551 (2.1927)	Prec@1 46.094 (44.752)	Prec@5 73.438 (75.344)
Epoch: [46][10650/14090]	Time 0.763 (0.763)	Data 0.001 (0.001)	Loss 2.4159 (2.1927)	Prec@1 35.938 (44.750)	Prec@5 79.688 (75.345)
Epoch: [46][10660/14090]	Time 0.767 (0.763)	Data 0.001 (0.001)	Loss 2.1019 (2.1927)	Prec@1 47.656 (44.750)	Prec@5 78.125 (75.347)
Epoch: [46][10670/14090]	Time 0.733 (0.763)	Data 0.001 (0.001)	Loss 1.9105 (2.1926)	Prec@1 46.094 (44.752)	Prec@5 80.469 (75.348)
Epoch: [46][10680/14090]	Time 0.719 (0.763)	Data 0.001 (0.001)	Loss 1.8622 (2.1926)	Prec@1 52.344 (44.752)	Prec@5 75.781 (75.347)
Epoch: [46][10690/14090]	Time 0.843 (0.763)	Data 0.001 (0.001)	Loss 2.4897 (2.1925)	Prec@1 41.406 (44.754)	Prec@5 67.969 (75.347)
Epoch: [46][10700/14090]	Time 0.725 (0.763)	Data 0.001 (0.001)	Loss 2.1902 (2.1924)	Prec@1 46.875 (44.755)	Prec@5 72.656 (75.347)
Epoch: [46][10710/14090]	Time 0.744 (0.763)	Data 0.001 (0.001)	Loss 2.0386 (2.1924)	Prec@1 48.438 (44.756)	Prec@5 79.688 (75.348)
Epoch: [46][10720/14090]	Time 0.723 (0.763)	Data 0.001 (0.001)	Loss 2.1994 (2.1924)	Prec@1 50.781 (44.756)	Prec@5 76.562 (75.346)
Epoch: [46][10730/14090]	Time 0.732 (0.763)	Data 0.001 (0.001)	Loss 2.1854 (2.1924)	Prec@1 41.406 (44.756)	Prec@5 75.781 (75.347)
Epoch: [46][10740/14090]	Time 0.734 (0.763)	Data 0.001 (0.001)	Loss 2.0714 (2.1924)	Prec@1 51.562 (44.759)	Prec@5 75.000 (75.347)
Epoch: [46][10750/14090]	Time 0.750 (0.763)	Data 0.001 (0.001)	Loss 2.0539 (2.1924)	Prec@1 52.344 (44.759)	Prec@5 79.688 (75.348)
Epoch: [46][10760/14090]	Time 0.881 (0.763)	Data 0.001 (0.001)	Loss 2.3116 (2.1924)	Prec@1 36.719 (44.758)	Prec@5 72.656 (75.348)
Epoch: [46][10770/14090]	Time 0.734 (0.763)	Data 0.001 (0.001)	Loss 2.1254 (2.1924)	Prec@1 45.312 (44.759)	Prec@5 75.000 (75.348)
Epoch: [46][10780/14090]	Time 0.780 (0.763)	Data 0.001 (0.001)	Loss 2.3230 (2.1924)	Prec@1 41.406 (44.757)	Prec@5 69.531 (75.346)
Epoch: [46][10790/14090]	Time 0.743 (0.763)	Data 0.001 (0.001)	Loss 2.0534 (2.1924)	Prec@1 46.875 (44.758)	Prec@5 82.812 (75.347)
Epoch: [46][10800/14090]	Time 0.725 (0.763)	Data 0.001 (0.001)	Loss 2.1842 (2.1924)	Prec@1 42.969 (44.758)	Prec@5 76.562 (75.349)
Epoch: [46][10810/14090]	Time 0.754 (0.763)	Data 0.001 (0.001)	Loss 2.2529 (2.1923)	Prec@1 49.219 (44.760)	Prec@5 73.438 (75.350)
Epoch: [46][10820/14090]	Time 0.726 (0.763)	Data 0.001 (0.001)	Loss 2.2770 (2.1923)	Prec@1 42.969 (44.760)	Prec@5 72.656 (75.349)
Epoch: [46][10830/14090]	Time 0.903 (0.763)	Data 0.001 (0.001)	Loss 2.2442 (2.1923)	Prec@1 36.719 (44.760)	Prec@5 78.125 (75.349)
Epoch: [46][10840/14090]	Time 0.736 (0.763)	Data 0.001 (0.001)	Loss 2.5610 (2.1924)	Prec@1 34.375 (44.759)	Prec@5 72.656 (75.349)
Epoch: [46][10850/14090]	Time 0.724 (0.763)	Data 0.001 (0.001)	Loss 2.0738 (2.1924)	Prec@1 50.000 (44.760)	Prec@5 77.344 (75.348)
Epoch: [46][10860/14090]	Time 0.737 (0.763)	Data 0.001 (0.001)	Loss 1.8533 (2.1924)	Prec@1 45.312 (44.760)	Prec@5 85.938 (75.348)
Epoch: [46][10870/14090]	Time 0.749 (0.763)	Data 0.001 (0.001)	Loss 2.3887 (2.1924)	Prec@1 42.188 (44.760)	Prec@5 70.312 (75.348)
Epoch: [46][10880/14090]	Time 0.758 (0.763)	Data 0.001 (0.001)	Loss 2.0762 (2.1924)	Prec@1 44.531 (44.759)	Prec@5 76.562 (75.347)
Epoch: [46][10890/14090]	Time 0.748 (0.763)	Data 0.001 (0.001)	Loss 2.2456 (2.1924)	Prec@1 42.188 (44.760)	Prec@5 74.219 (75.348)
Epoch: [46][10900/14090]	Time 0.818 (0.763)	Data 0.001 (0.001)	Loss 2.0040 (2.1924)	Prec@1 42.969 (44.759)	Prec@5 82.031 (75.349)
Epoch: [46][10910/14090]	Time 0.737 (0.763)	Data 0.001 (0.001)	Loss 2.1553 (2.1924)	Prec@1 47.656 (44.758)	Prec@5 78.906 (75.349)
Epoch: [46][10920/14090]	Time 0.751 (0.763)	Data 0.001 (0.001)	Loss 2.2522 (2.1924)	Prec@1 45.312 (44.759)	Prec@5 75.781 (75.350)
Epoch: [46][10930/14090]	Time 0.737 (0.763)	Data 0.001 (0.001)	Loss 2.3612 (2.1925)	Prec@1 44.531 (44.758)	Prec@5 74.219 (75.349)
Epoch: [46][10940/14090]	Time 0.756 (0.763)	Data 0.001 (0.001)	Loss 2.1997 (2.1925)	Prec@1 44.531 (44.758)	Prec@5 76.562 (75.349)
Epoch: [46][10950/14090]	Time 0.758 (0.763)	Data 0.001 (0.001)	Loss 2.0818 (2.1925)	Prec@1 42.188 (44.754)	Prec@5 73.438 (75.348)
Epoch: [46][10960/14090]	Time 0.742 (0.763)	Data 0.001 (0.001)	Loss 2.2312 (2.1926)	Prec@1 47.656 (44.754)	Prec@5 71.094 (75.347)
Epoch: [46][10970/14090]	Time 0.866 (0.763)	Data 0.001 (0.001)	Loss 2.1435 (2.1926)	Prec@1 50.781 (44.754)	Prec@5 78.906 (75.348)
Epoch: [46][10980/14090]	Time 0.750 (0.763)	Data 0.001 (0.001)	Loss 1.9847 (2.1925)	Prec@1 51.562 (44.754)	Prec@5 78.906 (75.349)
Epoch: [46][10990/14090]	Time 0.738 (0.763)	Data 0.001 (0.001)	Loss 2.3240 (2.1926)	Prec@1 45.312 (44.754)	Prec@5 68.750 (75.349)
Epoch: [46][11000/14090]	Time 0.752 (0.763)	Data 0.001 (0.001)	Loss 2.0361 (2.1926)	Prec@1 46.875 (44.753)	Prec@5 75.000 (75.349)
Epoch: [46][11010/14090]	Time 0.759 (0.763)	Data 0.001 (0.001)	Loss 2.1231 (2.1926)	Prec@1 50.000 (44.753)	Prec@5 79.688 (75.350)
Epoch: [46][11020/14090]	Time 0.738 (0.763)	Data 0.001 (0.001)	Loss 2.0245 (2.1926)	Prec@1 48.438 (44.751)	Prec@5 75.781 (75.350)
Epoch: [46][11030/14090]	Time 0.739 (0.763)	Data 0.001 (0.001)	Loss 1.8549 (2.1927)	Prec@1 51.562 (44.749)	Prec@5 81.250 (75.348)
Epoch: [46][11040/14090]	Time 0.885 (0.763)	Data 0.001 (0.001)	Loss 2.0179 (2.1927)	Prec@1 47.656 (44.751)	Prec@5 76.562 (75.348)
Epoch: [46][11050/14090]	Time 0.743 (0.763)	Data 0.001 (0.001)	Loss 2.3306 (2.1927)	Prec@1 46.094 (44.750)	Prec@5 72.656 (75.347)
Epoch: [46][11060/14090]	Time 0.736 (0.763)	Data 0.001 (0.001)	Loss 2.3719 (2.1928)	Prec@1 40.625 (44.751)	Prec@5 74.219 (75.346)
Epoch: [46][11070/14090]	Time 0.760 (0.763)	Data 0.001 (0.001)	Loss 2.3343 (2.1928)	Prec@1 40.625 (44.751)	Prec@5 73.438 (75.346)
Epoch: [46][11080/14090]	Time 0.750 (0.763)	Data 0.001 (0.001)	Loss 2.4574 (2.1928)	Prec@1 35.156 (44.751)	Prec@5 75.000 (75.346)
Epoch: [46][11090/14090]	Time 0.758 (0.763)	Data 0.001 (0.001)	Loss 2.3778 (2.1928)	Prec@1 39.062 (44.750)	Prec@5 73.438 (75.346)
Epoch: [46][11100/14090]	Time 0.721 (0.763)	Data 0.001 (0.001)	Loss 2.3225 (2.1929)	Prec@1 42.188 (44.749)	Prec@5 72.656 (75.344)
Epoch: [46][11110/14090]	Time 0.878 (0.763)	Data 0.001 (0.001)	Loss 2.1342 (2.1929)	Prec@1 46.094 (44.748)	Prec@5 72.656 (75.344)
Epoch: [46][11120/14090]	Time 0.740 (0.763)	Data 0.002 (0.001)	Loss 2.0887 (2.1929)	Prec@1 42.969 (44.747)	Prec@5 71.875 (75.343)
Epoch: [46][11130/14090]	Time 0.767 (0.763)	Data 0.001 (0.001)	Loss 2.0418 (2.1929)	Prec@1 43.750 (44.748)	Prec@5 79.688 (75.344)
Epoch: [46][11140/14090]	Time 0.729 (0.763)	Data 0.001 (0.001)	Loss 2.0807 (2.1929)	Prec@1 47.656 (44.748)	Prec@5 75.000 (75.344)
Epoch: [46][11150/14090]	Time 0.729 (0.763)	Data 0.001 (0.001)	Loss 2.2061 (2.1929)	Prec@1 41.406 (44.747)	Prec@5 77.344 (75.343)
Epoch: [46][11160/14090]	Time 0.772 (0.763)	Data 0.001 (0.001)	Loss 2.0093 (2.1929)	Prec@1 45.312 (44.746)	Prec@5 78.125 (75.342)
Epoch: [46][11170/14090]	Time 0.770 (0.763)	Data 0.001 (0.001)	Loss 2.5109 (2.1929)	Prec@1 40.625 (44.748)	Prec@5 71.094 (75.343)
Epoch: [46][11180/14090]	Time 0.878 (0.763)	Data 0.001 (0.001)	Loss 2.0519 (2.1929)	Prec@1 51.562 (44.750)	Prec@5 79.688 (75.342)
Epoch: [46][11190/14090]	Time 0.734 (0.763)	Data 0.001 (0.001)	Loss 2.3706 (2.1929)	Prec@1 41.406 (44.749)	Prec@5 70.312 (75.341)
Epoch: [46][11200/14090]	Time 0.741 (0.763)	Data 0.001 (0.001)	Loss 2.1454 (2.1929)	Prec@1 43.750 (44.747)	Prec@5 78.906 (75.343)
Epoch: [46][11210/14090]	Time 0.725 (0.763)	Data 0.001 (0.001)	Loss 2.2188 (2.1929)	Prec@1 42.188 (44.747)	Prec@5 75.781 (75.342)
Epoch: [46][11220/14090]	Time 0.744 (0.763)	Data 0.001 (0.001)	Loss 2.0988 (2.1930)	Prec@1 46.094 (44.747)	Prec@5 80.469 (75.342)
Epoch: [46][11230/14090]	Time 0.732 (0.763)	Data 0.001 (0.001)	Loss 2.3185 (2.1930)	Prec@1 39.844 (44.743)	Prec@5 74.219 (75.342)
Epoch: [46][11240/14090]	Time 0.750 (0.763)	Data 0.001 (0.001)	Loss 2.1770 (2.1931)	Prec@1 40.625 (44.741)	Prec@5 76.562 (75.341)
Epoch: [46][11250/14090]	Time 0.875 (0.763)	Data 0.001 (0.001)	Loss 2.2481 (2.1930)	Prec@1 39.062 (44.741)	Prec@5 80.469 (75.342)
Epoch: [46][11260/14090]	Time 0.735 (0.763)	Data 0.001 (0.001)	Loss 2.0145 (2.1930)	Prec@1 49.219 (44.743)	Prec@5 77.344 (75.343)
Epoch: [46][11270/14090]	Time 0.754 (0.763)	Data 0.001 (0.001)	Loss 2.2765 (2.1930)	Prec@1 42.188 (44.744)	Prec@5 75.781 (75.344)
Epoch: [46][11280/14090]	Time 0.722 (0.763)	Data 0.001 (0.001)	Loss 2.2949 (2.1929)	Prec@1 39.844 (44.744)	Prec@5 77.344 (75.347)
Epoch: [46][11290/14090]	Time 0.751 (0.763)	Data 0.001 (0.001)	Loss 2.1179 (2.1929)	Prec@1 49.219 (44.745)	Prec@5 79.688 (75.347)
Epoch: [46][11300/14090]	Time 0.747 (0.763)	Data 0.001 (0.001)	Loss 2.0266 (2.1929)	Prec@1 46.875 (44.745)	Prec@5 78.906 (75.347)
Epoch: [46][11310/14090]	Time 0.734 (0.763)	Data 0.001 (0.001)	Loss 2.1177 (2.1928)	Prec@1 50.000 (44.746)	Prec@5 75.781 (75.348)
Epoch: [46][11320/14090]	Time 0.858 (0.763)	Data 0.001 (0.001)	Loss 2.4993 (2.1928)	Prec@1 39.062 (44.745)	Prec@5 70.312 (75.348)
Epoch: [46][11330/14090]	Time 0.754 (0.763)	Data 0.001 (0.001)	Loss 2.3423 (2.1928)	Prec@1 44.531 (44.746)	Prec@5 74.219 (75.348)
Epoch: [46][11340/14090]	Time 0.720 (0.763)	Data 0.001 (0.001)	Loss 2.2042 (2.1929)	Prec@1 40.625 (44.743)	Prec@5 78.906 (75.349)
Epoch: [46][11350/14090]	Time 0.732 (0.763)	Data 0.001 (0.001)	Loss 2.0802 (2.1928)	Prec@1 44.531 (44.745)	Prec@5 75.000 (75.348)
Epoch: [46][11360/14090]	Time 0.738 (0.763)	Data 0.001 (0.001)	Loss 2.1355 (2.1928)	Prec@1 42.188 (44.745)	Prec@5 76.562 (75.349)
Epoch: [46][11370/14090]	Time 0.757 (0.763)	Data 0.001 (0.001)	Loss 1.9388 (2.1927)	Prec@1 50.781 (44.746)	Prec@5 78.906 (75.349)
Epoch: [46][11380/14090]	Time 0.742 (0.763)	Data 0.001 (0.001)	Loss 1.9445 (2.1927)	Prec@1 50.781 (44.746)	Prec@5 77.344 (75.349)
Epoch: [46][11390/14090]	Time 0.852 (0.763)	Data 0.001 (0.001)	Loss 2.1644 (2.1927)	Prec@1 43.750 (44.747)	Prec@5 75.000 (75.348)
Epoch: [46][11400/14090]	Time 0.723 (0.763)	Data 0.001 (0.001)	Loss 2.3508 (2.1927)	Prec@1 39.844 (44.746)	Prec@5 72.656 (75.347)
Epoch: [46][11410/14090]	Time 0.752 (0.763)	Data 0.001 (0.001)	Loss 2.2020 (2.1928)	Prec@1 41.406 (44.745)	Prec@5 77.344 (75.347)
Epoch: [46][11420/14090]	Time 0.753 (0.763)	Data 0.001 (0.001)	Loss 2.1155 (2.1927)	Prec@1 50.781 (44.746)	Prec@5 76.562 (75.347)
Epoch: [46][11430/14090]	Time 0.739 (0.763)	Data 0.001 (0.001)	Loss 2.1286 (2.1928)	Prec@1 40.625 (44.745)	Prec@5 80.469 (75.345)
Epoch: [46][11440/14090]	Time 0.754 (0.763)	Data 0.001 (0.001)	Loss 2.3277 (2.1928)	Prec@1 39.062 (44.743)	Prec@5 75.000 (75.344)
Epoch: [46][11450/14090]	Time 0.748 (0.763)	Data 0.001 (0.001)	Loss 2.3016 (2.1928)	Prec@1 36.719 (44.743)	Prec@5 76.562 (75.344)
Epoch: [46][11460/14090]	Time 0.870 (0.763)	Data 0.001 (0.001)	Loss 2.1278 (2.1927)	Prec@1 41.406 (44.742)	Prec@5 78.125 (75.346)
Epoch: [46][11470/14090]	Time 0.725 (0.763)	Data 0.001 (0.001)	Loss 2.3959 (2.1928)	Prec@1 40.625 (44.742)	Prec@5 70.312 (75.346)
Epoch: [46][11480/14090]	Time 0.752 (0.763)	Data 0.001 (0.001)	Loss 2.4943 (2.1928)	Prec@1 42.969 (44.741)	Prec@5 75.000 (75.347)
Epoch: [46][11490/14090]	Time 0.770 (0.763)	Data 0.001 (0.001)	Loss 2.5584 (2.1928)	Prec@1 40.625 (44.741)	Prec@5 71.875 (75.347)
Epoch: [46][11500/14090]	Time 0.751 (0.763)	Data 0.001 (0.001)	Loss 2.2483 (2.1928)	Prec@1 39.844 (44.740)	Prec@5 78.125 (75.348)
Epoch: [46][11510/14090]	Time 0.736 (0.763)	Data 0.001 (0.001)	Loss 2.0305 (2.1927)	Prec@1 45.312 (44.742)	Prec@5 77.344 (75.349)
Epoch: [46][11520/14090]	Time 0.758 (0.763)	Data 0.001 (0.001)	Loss 2.3753 (2.1928)	Prec@1 40.625 (44.742)	Prec@5 67.969 (75.348)
Epoch: [46][11530/14090]	Time 0.856 (0.763)	Data 0.001 (0.001)	Loss 2.3149 (2.1928)	Prec@1 39.844 (44.739)	Prec@5 73.438 (75.347)
Epoch: [46][11540/14090]	Time 0.748 (0.763)	Data 0.001 (0.001)	Loss 2.2672 (2.1928)	Prec@1 43.750 (44.740)	Prec@5 71.875 (75.345)
Epoch: [46][11550/14090]	Time 0.732 (0.763)	Data 0.001 (0.001)	Loss 2.1331 (2.1929)	Prec@1 53.125 (44.738)	Prec@5 80.469 (75.344)
Epoch: [46][11560/14090]	Time 0.756 (0.763)	Data 0.001 (0.001)	Loss 2.4496 (2.1929)	Prec@1 46.875 (44.739)	Prec@5 73.438 (75.344)
Epoch: [46][11570/14090]	Time 0.768 (0.763)	Data 0.001 (0.001)	Loss 1.8370 (2.1929)	Prec@1 53.125 (44.740)	Prec@5 80.469 (75.343)
Epoch: [46][11580/14090]	Time 0.740 (0.763)	Data 0.001 (0.001)	Loss 1.9114 (2.1929)	Prec@1 50.000 (44.739)	Prec@5 81.250 (75.342)
Epoch: [46][11590/14090]	Time 0.752 (0.763)	Data 0.001 (0.001)	Loss 2.4328 (2.1930)	Prec@1 42.969 (44.738)	Prec@5 65.625 (75.340)
Epoch: [46][11600/14090]	Time 0.858 (0.763)	Data 0.001 (0.001)	Loss 1.9584 (2.1930)	Prec@1 45.312 (44.737)	Prec@5 78.906 (75.340)
Epoch: [46][11610/14090]	Time 0.731 (0.763)	Data 0.001 (0.001)	Loss 2.2797 (2.1930)	Prec@1 46.094 (44.736)	Prec@5 75.781 (75.341)
Epoch: [46][11620/14090]	Time 0.723 (0.763)	Data 0.001 (0.001)	Loss 1.9475 (2.1929)	Prec@1 51.562 (44.738)	Prec@5 77.344 (75.343)
Epoch: [46][11630/14090]	Time 0.758 (0.763)	Data 0.001 (0.001)	Loss 2.2186 (2.1930)	Prec@1 46.094 (44.736)	Prec@5 78.125 (75.342)
Epoch: [46][11640/14090]	Time 0.754 (0.763)	Data 0.001 (0.001)	Loss 2.3571 (2.1930)	Prec@1 35.938 (44.736)	Prec@5 71.094 (75.341)
Epoch: [46][11650/14090]	Time 0.759 (0.763)	Data 0.001 (0.001)	Loss 2.0412 (2.1931)	Prec@1 49.219 (44.735)	Prec@5 76.562 (75.340)
Epoch: [46][11660/14090]	Time 0.758 (0.763)	Data 0.001 (0.001)	Loss 2.4381 (2.1930)	Prec@1 40.625 (44.734)	Prec@5 71.875 (75.341)
Epoch: [46][11670/14090]	Time 0.833 (0.763)	Data 0.001 (0.001)	Loss 2.1323 (2.1931)	Prec@1 47.656 (44.735)	Prec@5 78.125 (75.341)
Epoch: [46][11680/14090]	Time 0.724 (0.763)	Data 0.001 (0.001)	Loss 2.5898 (2.1931)	Prec@1 38.281 (44.734)	Prec@5 65.625 (75.339)
Epoch: [46][11690/14090]	Time 0.732 (0.763)	Data 0.001 (0.001)	Loss 1.9872 (2.1930)	Prec@1 47.656 (44.735)	Prec@5 81.250 (75.340)
Epoch: [46][11700/14090]	Time 0.723 (0.763)	Data 0.001 (0.001)	Loss 2.2703 (2.1930)	Prec@1 43.750 (44.736)	Prec@5 75.781 (75.341)
Epoch: [46][11710/14090]	Time 0.736 (0.763)	Data 0.001 (0.001)	Loss 2.2599 (2.1930)	Prec@1 50.000 (44.735)	Prec@5 75.000 (75.342)
Epoch: [46][11720/14090]	Time 0.765 (0.763)	Data 0.001 (0.001)	Loss 2.0894 (2.1930)	Prec@1 42.969 (44.734)	Prec@5 75.000 (75.343)
Epoch: [46][11730/14090]	Time 0.753 (0.763)	Data 0.001 (0.001)	Loss 2.3679 (2.1931)	Prec@1 42.969 (44.734)	Prec@5 72.656 (75.341)
Epoch: [46][11740/14090]	Time 0.884 (0.763)	Data 0.001 (0.001)	Loss 2.2502 (2.1931)	Prec@1 41.406 (44.733)	Prec@5 76.562 (75.341)
Epoch: [46][11750/14090]	Time 0.764 (0.763)	Data 0.001 (0.001)	Loss 2.0244 (2.1931)	Prec@1 50.781 (44.733)	Prec@5 78.125 (75.341)
Epoch: [46][11760/14090]	Time 0.728 (0.763)	Data 0.001 (0.001)	Loss 2.3237 (2.1931)	Prec@1 39.062 (44.733)	Prec@5 71.094 (75.341)
Epoch: [46][11770/14090]	Time 0.731 (0.763)	Data 0.001 (0.001)	Loss 2.1561 (2.1931)	Prec@1 44.531 (44.733)	Prec@5 74.219 (75.341)
Epoch: [46][11780/14090]	Time 0.752 (0.763)	Data 0.001 (0.001)	Loss 2.3131 (2.1931)	Prec@1 46.094 (44.733)	Prec@5 70.312 (75.341)
Epoch: [46][11790/14090]	Time 0.754 (0.763)	Data 0.001 (0.001)	Loss 2.0164 (2.1931)	Prec@1 49.219 (44.731)	Prec@5 79.688 (75.339)
Epoch: [46][11800/14090]	Time 0.730 (0.763)	Data 0.001 (0.001)	Loss 1.9356 (2.1931)	Prec@1 45.312 (44.731)	Prec@5 81.250 (75.340)
Epoch: [46][11810/14090]	Time 0.854 (0.763)	Data 0.001 (0.001)	Loss 2.4613 (2.1932)	Prec@1 40.625 (44.730)	Prec@5 68.750 (75.338)
Epoch: [46][11820/14090]	Time 0.722 (0.763)	Data 0.001 (0.001)	Loss 2.2254 (2.1933)	Prec@1 41.406 (44.728)	Prec@5 76.562 (75.336)
Epoch: [46][11830/14090]	Time 0.728 (0.763)	Data 0.001 (0.001)	Loss 2.2070 (2.1933)	Prec@1 39.062 (44.728)	Prec@5 78.125 (75.337)
Epoch: [46][11840/14090]	Time 0.780 (0.763)	Data 0.001 (0.001)	Loss 2.2932 (2.1932)	Prec@1 41.406 (44.729)	Prec@5 73.438 (75.338)
Epoch: [46][11850/14090]	Time 0.732 (0.763)	Data 0.001 (0.001)	Loss 2.4683 (2.1932)	Prec@1 36.719 (44.728)	Prec@5 74.219 (75.338)
Epoch: [46][11860/14090]	Time 0.733 (0.763)	Data 0.001 (0.001)	Loss 2.1026 (2.1932)	Prec@1 43.750 (44.729)	Prec@5 73.438 (75.338)
Epoch: [46][11870/14090]	Time 0.738 (0.763)	Data 0.001 (0.001)	Loss 2.0502 (2.1933)	Prec@1 45.312 (44.728)	Prec@5 78.906 (75.337)
Epoch: [46][11880/14090]	Time 0.908 (0.763)	Data 0.001 (0.001)	Loss 2.1000 (2.1933)	Prec@1 44.531 (44.729)	Prec@5 80.469 (75.337)
Epoch: [46][11890/14090]	Time 0.755 (0.763)	Data 0.001 (0.001)	Loss 2.2743 (2.1933)	Prec@1 44.531 (44.727)	Prec@5 75.781 (75.336)
Epoch: [46][11900/14090]	Time 0.761 (0.763)	Data 0.001 (0.001)	Loss 2.0602 (2.1933)	Prec@1 46.875 (44.727)	Prec@5 78.906 (75.335)
Epoch: [46][11910/14090]	Time 0.753 (0.763)	Data 0.001 (0.001)	Loss 2.1196 (2.1933)	Prec@1 47.656 (44.728)	Prec@5 71.875 (75.335)
Epoch: [46][11920/14090]	Time 0.752 (0.763)	Data 0.001 (0.001)	Loss 2.2799 (2.1933)	Prec@1 42.969 (44.728)	Prec@5 72.656 (75.335)
Epoch: [46][11930/14090]	Time 0.761 (0.763)	Data 0.001 (0.001)	Loss 2.1012 (2.1933)	Prec@1 42.188 (44.728)	Prec@5 80.469 (75.335)
Epoch: [46][11940/14090]	Time 0.745 (0.763)	Data 0.001 (0.001)	Loss 2.2069 (2.1933)	Prec@1 45.312 (44.729)	Prec@5 71.094 (75.334)
Epoch: [46][11950/14090]	Time 0.873 (0.763)	Data 0.001 (0.001)	Loss 2.2275 (2.1933)	Prec@1 46.875 (44.728)	Prec@5 72.656 (75.334)
Epoch: [46][11960/14090]	Time 0.754 (0.763)	Data 0.001 (0.001)	Loss 2.1496 (2.1933)	Prec@1 42.188 (44.727)	Prec@5 76.562 (75.335)
Epoch: [46][11970/14090]	Time 0.726 (0.763)	Data 0.001 (0.001)	Loss 2.0174 (2.1933)	Prec@1 49.219 (44.725)	Prec@5 78.906 (75.334)
Epoch: [46][11980/14090]	Time 0.741 (0.763)	Data 0.001 (0.001)	Loss 2.3423 (2.1934)	Prec@1 41.406 (44.723)	Prec@5 68.750 (75.334)
Epoch: [46][11990/14090]	Time 0.731 (0.763)	Data 0.001 (0.001)	Loss 2.2442 (2.1933)	Prec@1 40.625 (44.723)	Prec@5 72.656 (75.335)
Epoch: [46][12000/14090]	Time 0.757 (0.763)	Data 0.001 (0.001)	Loss 2.3662 (2.1934)	Prec@1 42.969 (44.722)	Prec@5 69.531 (75.335)
Epoch: [46][12010/14090]	Time 0.733 (0.763)	Data 0.001 (0.001)	Loss 2.0583 (2.1934)	Prec@1 49.219 (44.721)	Prec@5 79.688 (75.334)
Epoch: [46][12020/14090]	Time 0.839 (0.763)	Data 0.002 (0.001)	Loss 2.3240 (2.1934)	Prec@1 40.625 (44.720)	Prec@5 71.875 (75.333)
Epoch: [46][12030/14090]	Time 0.763 (0.763)	Data 0.001 (0.001)	Loss 2.0034 (2.1935)	Prec@1 47.656 (44.718)	Prec@5 75.000 (75.333)
Epoch: [46][12040/14090]	Time 0.760 (0.763)	Data 0.001 (0.001)	Loss 2.1555 (2.1935)	Prec@1 42.188 (44.719)	Prec@5 77.344 (75.331)
Epoch: [46][12050/14090]	Time 0.748 (0.763)	Data 0.001 (0.001)	Loss 2.3058 (2.1936)	Prec@1 40.625 (44.718)	Prec@5 74.219 (75.331)
Epoch: [46][12060/14090]	Time 0.803 (0.763)	Data 0.001 (0.001)	Loss 2.5594 (2.1937)	Prec@1 39.062 (44.717)	Prec@5 70.312 (75.328)
Epoch: [46][12070/14090]	Time 0.742 (0.763)	Data 0.001 (0.001)	Loss 1.9983 (2.1936)	Prec@1 46.094 (44.718)	Prec@5 74.219 (75.328)
Epoch: [46][12080/14090]	Time 0.748 (0.763)	Data 0.001 (0.001)	Loss 2.1272 (2.1937)	Prec@1 45.312 (44.717)	Prec@5 73.438 (75.327)
Epoch: [46][12090/14090]	Time 0.853 (0.763)	Data 0.001 (0.001)	Loss 2.1645 (2.1937)	Prec@1 41.406 (44.716)	Prec@5 75.781 (75.327)
Epoch: [46][12100/14090]	Time 0.741 (0.763)	Data 0.001 (0.001)	Loss 1.9458 (2.1936)	Prec@1 51.562 (44.717)	Prec@5 80.469 (75.329)
Epoch: [46][12110/14090]	Time 0.718 (0.763)	Data 0.001 (0.001)	Loss 2.0336 (2.1935)	Prec@1 53.125 (44.720)	Prec@5 75.000 (75.330)
Epoch: [46][12120/14090]	Time 0.752 (0.763)	Data 0.001 (0.001)	Loss 2.4304 (2.1936)	Prec@1 39.062 (44.718)	Prec@5 74.219 (75.329)
Epoch: [46][12130/14090]	Time 0.733 (0.763)	Data 0.001 (0.001)	Loss 2.0390 (2.1936)	Prec@1 43.750 (44.717)	Prec@5 76.562 (75.330)
Epoch: [46][12140/14090]	Time 0.754 (0.763)	Data 0.001 (0.001)	Loss 2.4740 (2.1936)	Prec@1 41.406 (44.717)	Prec@5 71.094 (75.328)
Epoch: [46][12150/14090]	Time 0.750 (0.763)	Data 0.001 (0.001)	Loss 2.0025 (2.1936)	Prec@1 50.000 (44.716)	Prec@5 75.781 (75.327)
Epoch: [46][12160/14090]	Time 0.892 (0.763)	Data 0.001 (0.001)	Loss 2.0819 (2.1935)	Prec@1 47.656 (44.717)	Prec@5 75.781 (75.328)
Epoch: [46][12170/14090]	Time 0.774 (0.763)	Data 0.001 (0.001)	Loss 1.9046 (2.1935)	Prec@1 49.219 (44.717)	Prec@5 78.906 (75.329)
Epoch: [46][12180/14090]	Time 0.751 (0.763)	Data 0.001 (0.001)	Loss 2.3436 (2.1935)	Prec@1 43.750 (44.718)	Prec@5 75.781 (75.330)
Epoch: [46][12190/14090]	Time 0.758 (0.763)	Data 0.001 (0.001)	Loss 2.4073 (2.1936)	Prec@1 39.844 (44.716)	Prec@5 67.969 (75.329)
Epoch: [46][12200/14090]	Time 0.751 (0.763)	Data 0.001 (0.001)	Loss 2.0725 (2.1936)	Prec@1 50.781 (44.717)	Prec@5 80.469 (75.330)
Epoch: [46][12210/14090]	Time 0.731 (0.763)	Data 0.001 (0.001)	Loss 2.1277 (2.1936)	Prec@1 51.562 (44.718)	Prec@5 76.562 (75.329)
Epoch: [46][12220/14090]	Time 0.727 (0.763)	Data 0.001 (0.001)	Loss 2.1873 (2.1936)	Prec@1 42.188 (44.717)	Prec@5 78.125 (75.329)
Epoch: [46][12230/14090]	Time 0.867 (0.763)	Data 0.001 (0.001)	Loss 2.4108 (2.1936)	Prec@1 42.188 (44.718)	Prec@5 68.750 (75.328)
Epoch: [46][12240/14090]	Time 0.744 (0.763)	Data 0.001 (0.001)	Loss 1.9037 (2.1935)	Prec@1 46.875 (44.720)	Prec@5 78.906 (75.329)
Epoch: [46][12250/14090]	Time 0.734 (0.763)	Data 0.001 (0.001)	Loss 2.2534 (2.1934)	Prec@1 45.312 (44.723)	Prec@5 78.906 (75.331)
Epoch: [46][12260/14090]	Time 0.739 (0.763)	Data 0.001 (0.001)	Loss 2.2936 (2.1934)	Prec@1 35.938 (44.722)	Prec@5 75.000 (75.331)
Epoch: [46][12270/14090]	Time 0.727 (0.763)	Data 0.001 (0.001)	Loss 2.2575 (2.1934)	Prec@1 46.094 (44.724)	Prec@5 75.781 (75.332)
Epoch: [46][12280/14090]	Time 0.777 (0.763)	Data 0.001 (0.001)	Loss 2.3177 (2.1934)	Prec@1 47.656 (44.724)	Prec@5 68.750 (75.332)
Epoch: [46][12290/14090]	Time 0.727 (0.763)	Data 0.001 (0.001)	Loss 2.5807 (2.1935)	Prec@1 38.281 (44.723)	Prec@5 67.188 (75.331)
Epoch: [46][12300/14090]	Time 0.890 (0.763)	Data 0.001 (0.001)	Loss 2.2683 (2.1935)	Prec@1 45.312 (44.723)	Prec@5 73.438 (75.330)
Epoch: [46][12310/14090]	Time 0.756 (0.763)	Data 0.001 (0.001)	Loss 2.1195 (2.1934)	Prec@1 42.188 (44.726)	Prec@5 75.781 (75.331)
Epoch: [46][12320/14090]	Time 0.735 (0.763)	Data 0.001 (0.001)	Loss 2.2907 (2.1935)	Prec@1 42.188 (44.723)	Prec@5 75.000 (75.330)
Epoch: [46][12330/14090]	Time 0.755 (0.763)	Data 0.001 (0.001)	Loss 2.2647 (2.1935)	Prec@1 39.062 (44.723)	Prec@5 75.000 (75.330)
Epoch: [46][12340/14090]	Time 0.732 (0.763)	Data 0.001 (0.001)	Loss 2.1996 (2.1935)	Prec@1 42.969 (44.723)	Prec@5 76.562 (75.330)
Epoch: [46][12350/14090]	Time 0.725 (0.763)	Data 0.001 (0.001)	Loss 2.1936 (2.1935)	Prec@1 38.281 (44.721)	Prec@5 75.000 (75.332)
Epoch: [46][12360/14090]	Time 0.752 (0.763)	Data 0.001 (0.001)	Loss 2.0140 (2.1935)	Prec@1 50.781 (44.722)	Prec@5 82.812 (75.331)
Epoch: [46][12370/14090]	Time 0.842 (0.763)	Data 0.001 (0.001)	Loss 2.2509 (2.1936)	Prec@1 43.750 (44.721)	Prec@5 75.781 (75.330)
Epoch: [46][12380/14090]	Time 0.759 (0.763)	Data 0.001 (0.001)	Loss 2.3598 (2.1936)	Prec@1 47.656 (44.720)	Prec@5 72.656 (75.330)
Epoch: [46][12390/14090]	Time 0.728 (0.763)	Data 0.001 (0.001)	Loss 2.0263 (2.1935)	Prec@1 44.531 (44.721)	Prec@5 77.344 (75.331)
Epoch: [46][12400/14090]	Time 0.746 (0.763)	Data 0.001 (0.001)	Loss 2.1340 (2.1935)	Prec@1 40.625 (44.721)	Prec@5 78.906 (75.332)
Epoch: [46][12410/14090]	Time 0.760 (0.763)	Data 0.001 (0.001)	Loss 2.2286 (2.1936)	Prec@1 42.969 (44.720)	Prec@5 75.000 (75.331)
Epoch: [46][12420/14090]	Time 0.725 (0.763)	Data 0.001 (0.001)	Loss 2.0361 (2.1936)	Prec@1 49.219 (44.721)	Prec@5 78.906 (75.330)
Epoch: [46][12430/14090]	Time 0.754 (0.763)	Data 0.001 (0.001)	Loss 1.9476 (2.1935)	Prec@1 49.219 (44.722)	Prec@5 77.344 (75.330)
Epoch: [46][12440/14090]	Time 0.866 (0.763)	Data 0.001 (0.001)	Loss 2.3797 (2.1935)	Prec@1 38.281 (44.721)	Prec@5 72.656 (75.332)
Epoch: [46][12450/14090]	Time 0.738 (0.763)	Data 0.001 (0.001)	Loss 2.0769 (2.1935)	Prec@1 44.531 (44.720)	Prec@5 77.344 (75.331)
Epoch: [46][12460/14090]	Time 0.740 (0.763)	Data 0.001 (0.001)	Loss 2.2147 (2.1936)	Prec@1 48.438 (44.718)	Prec@5 70.312 (75.329)
Epoch: [46][12470/14090]	Time 0.751 (0.763)	Data 0.001 (0.001)	Loss 2.0477 (2.1937)	Prec@1 50.000 (44.716)	Prec@5 81.250 (75.328)
Epoch: [46][12480/14090]	Time 0.745 (0.763)	Data 0.001 (0.001)	Loss 1.9436 (2.1937)	Prec@1 51.562 (44.715)	Prec@5 77.344 (75.328)
Epoch: [46][12490/14090]	Time 0.761 (0.763)	Data 0.001 (0.001)	Loss 2.3833 (2.1937)	Prec@1 41.406 (44.716)	Prec@5 66.406 (75.328)
Epoch: [46][12500/14090]	Time 0.750 (0.763)	Data 0.001 (0.001)	Loss 2.4090 (2.1937)	Prec@1 35.156 (44.716)	Prec@5 74.219 (75.328)
Epoch: [46][12510/14090]	Time 0.854 (0.763)	Data 0.001 (0.001)	Loss 2.2149 (2.1937)	Prec@1 42.969 (44.715)	Prec@5 76.562 (75.328)
Epoch: [46][12520/14090]	Time 0.725 (0.763)	Data 0.001 (0.001)	Loss 2.2038 (2.1937)	Prec@1 46.094 (44.716)	Prec@5 75.000 (75.327)
Epoch: [46][12530/14090]	Time 0.736 (0.763)	Data 0.001 (0.001)	Loss 2.4398 (2.1937)	Prec@1 39.062 (44.716)	Prec@5 71.875 (75.327)
Epoch: [46][12540/14090]	Time 0.737 (0.763)	Data 0.001 (0.001)	Loss 2.2817 (2.1938)	Prec@1 41.406 (44.714)	Prec@5 72.656 (75.326)
Epoch: [46][12550/14090]	Time 0.738 (0.763)	Data 0.001 (0.001)	Loss 2.2486 (2.1939)	Prec@1 47.656 (44.714)	Prec@5 75.000 (75.325)
Epoch: [46][12560/14090]	Time 0.755 (0.763)	Data 0.001 (0.001)	Loss 2.0695 (2.1938)	Prec@1 46.875 (44.716)	Prec@5 79.688 (75.327)
Epoch: [46][12570/14090]	Time 0.766 (0.763)	Data 0.001 (0.001)	Loss 2.1913 (2.1939)	Prec@1 41.406 (44.715)	Prec@5 77.344 (75.326)
Epoch: [46][12580/14090]	Time 0.872 (0.763)	Data 0.001 (0.001)	Loss 2.3436 (2.1939)	Prec@1 47.656 (44.714)	Prec@5 67.969 (75.324)
Epoch: [46][12590/14090]	Time 0.761 (0.763)	Data 0.001 (0.001)	Loss 2.0266 (2.1939)	Prec@1 49.219 (44.714)	Prec@5 78.125 (75.323)
Epoch: [46][12600/14090]	Time 0.754 (0.763)	Data 0.001 (0.001)	Loss 2.1157 (2.1939)	Prec@1 45.312 (44.715)	Prec@5 73.438 (75.322)
Epoch: [46][12610/14090]	Time 0.732 (0.763)	Data 0.001 (0.001)	Loss 2.1646 (2.1939)	Prec@1 46.094 (44.713)	Prec@5 77.344 (75.320)
Epoch: [46][12620/14090]	Time 0.738 (0.763)	Data 0.001 (0.001)	Loss 2.2260 (2.1940)	Prec@1 42.969 (44.711)	Prec@5 75.781 (75.319)
Epoch: [46][12630/14090]	Time 0.764 (0.763)	Data 0.001 (0.001)	Loss 2.1507 (2.1940)	Prec@1 49.219 (44.711)	Prec@5 72.656 (75.319)
Epoch: [46][12640/14090]	Time 0.738 (0.763)	Data 0.001 (0.001)	Loss 2.3080 (2.1940)	Prec@1 35.156 (44.711)	Prec@5 73.438 (75.319)
Epoch: [46][12650/14090]	Time 0.890 (0.763)	Data 0.001 (0.001)	Loss 2.3316 (2.1941)	Prec@1 40.625 (44.710)	Prec@5 72.656 (75.318)
Epoch: [46][12660/14090]	Time 0.738 (0.763)	Data 0.001 (0.001)	Loss 2.2000 (2.1941)	Prec@1 43.750 (44.711)	Prec@5 75.781 (75.318)
Epoch: [46][12670/14090]	Time 0.740 (0.763)	Data 0.001 (0.001)	Loss 2.0399 (2.1940)	Prec@1 46.875 (44.713)	Prec@5 78.906 (75.319)
Epoch: [46][12680/14090]	Time 0.740 (0.763)	Data 0.001 (0.001)	Loss 2.2370 (2.1941)	Prec@1 41.406 (44.712)	Prec@5 70.312 (75.318)
Epoch: [46][12690/14090]	Time 0.743 (0.763)	Data 0.001 (0.001)	Loss 2.4584 (2.1941)	Prec@1 37.500 (44.711)	Prec@5 73.438 (75.316)
Epoch: [46][12700/14090]	Time 0.764 (0.763)	Data 0.001 (0.001)	Loss 2.2118 (2.1942)	Prec@1 46.094 (44.710)	Prec@5 77.344 (75.316)
Epoch: [46][12710/14090]	Time 0.752 (0.763)	Data 0.001 (0.001)	Loss 2.0631 (2.1942)	Prec@1 43.750 (44.707)	Prec@5 78.125 (75.315)
Epoch: [46][12720/14090]	Time 0.860 (0.763)	Data 0.001 (0.001)	Loss 2.0422 (2.1943)	Prec@1 47.656 (44.707)	Prec@5 77.344 (75.314)
Epoch: [46][12730/14090]	Time 0.746 (0.763)	Data 0.001 (0.001)	Loss 2.3707 (2.1943)	Prec@1 33.594 (44.708)	Prec@5 72.656 (75.313)
Epoch: [46][12740/14090]	Time 0.752 (0.763)	Data 0.001 (0.001)	Loss 2.2058 (2.1944)	Prec@1 42.969 (44.707)	Prec@5 76.562 (75.313)
Epoch: [46][12750/14090]	Time 0.748 (0.763)	Data 0.001 (0.001)	Loss 2.1665 (2.1944)	Prec@1 45.312 (44.705)	Prec@5 78.906 (75.313)
Epoch: [46][12760/14090]	Time 0.741 (0.763)	Data 0.001 (0.001)	Loss 2.1529 (2.1944)	Prec@1 42.969 (44.705)	Prec@5 75.000 (75.313)
Epoch: [46][12770/14090]	Time 0.745 (0.763)	Data 0.001 (0.001)	Loss 2.2866 (2.1944)	Prec@1 40.625 (44.705)	Prec@5 75.000 (75.314)
Epoch: [46][12780/14090]	Time 0.760 (0.763)	Data 0.001 (0.001)	Loss 2.2677 (2.1945)	Prec@1 42.969 (44.705)	Prec@5 71.094 (75.312)
Epoch: [46][12790/14090]	Time 0.840 (0.763)	Data 0.001 (0.001)	Loss 2.1046 (2.1945)	Prec@1 49.219 (44.705)	Prec@5 75.781 (75.312)
Epoch: [46][12800/14090]	Time 0.731 (0.763)	Data 0.001 (0.001)	Loss 2.3292 (2.1945)	Prec@1 44.531 (44.705)	Prec@5 74.219 (75.312)
Epoch: [46][12810/14090]	Time 0.731 (0.763)	Data 0.001 (0.001)	Loss 2.3093 (2.1945)	Prec@1 36.719 (44.703)	Prec@5 73.438 (75.310)
Epoch: [46][12820/14090]	Time 0.734 (0.763)	Data 0.001 (0.001)	Loss 2.3457 (2.1946)	Prec@1 42.969 (44.702)	Prec@5 75.781 (75.310)
Epoch: [46][12830/14090]	Time 0.755 (0.763)	Data 0.001 (0.001)	Loss 2.4599 (2.1946)	Prec@1 35.156 (44.700)	Prec@5 72.656 (75.311)
Epoch: [46][12840/14090]	Time 0.757 (0.763)	Data 0.001 (0.001)	Loss 2.3322 (2.1946)	Prec@1 39.844 (44.700)	Prec@5 69.531 (75.312)
Epoch: [46][12850/14090]	Time 0.731 (0.763)	Data 0.001 (0.001)	Loss 2.2900 (2.1946)	Prec@1 41.406 (44.698)	Prec@5 67.188 (75.311)
Epoch: [46][12860/14090]	Time 0.877 (0.763)	Data 0.001 (0.001)	Loss 2.1589 (2.1946)	Prec@1 47.656 (44.698)	Prec@5 79.688 (75.311)
Epoch: [46][12870/14090]	Time 0.744 (0.763)	Data 0.001 (0.001)	Loss 2.2334 (2.1947)	Prec@1 45.312 (44.697)	Prec@5 71.875 (75.310)
Epoch: [46][12880/14090]	Time 0.735 (0.763)	Data 0.001 (0.001)	Loss 2.2933 (2.1948)	Prec@1 42.188 (44.696)	Prec@5 72.656 (75.307)
Epoch: [46][12890/14090]	Time 0.754 (0.763)	Data 0.001 (0.001)	Loss 2.4428 (2.1948)	Prec@1 40.625 (44.693)	Prec@5 74.219 (75.307)
Epoch: [46][12900/14090]	Time 0.760 (0.763)	Data 0.001 (0.001)	Loss 1.9749 (2.1948)	Prec@1 44.531 (44.694)	Prec@5 82.031 (75.307)
Epoch: [46][12910/14090]	Time 0.754 (0.763)	Data 0.001 (0.001)	Loss 1.9994 (2.1949)	Prec@1 48.438 (44.694)	Prec@5 81.250 (75.306)
Epoch: [46][12920/14090]	Time 0.727 (0.763)	Data 0.001 (0.001)	Loss 2.0291 (2.1949)	Prec@1 51.562 (44.695)	Prec@5 80.469 (75.306)
Epoch: [46][12930/14090]	Time 0.875 (0.763)	Data 0.001 (0.001)	Loss 2.4807 (2.1949)	Prec@1 40.625 (44.695)	Prec@5 71.094 (75.304)
Epoch: [46][12940/14090]	Time 0.733 (0.763)	Data 0.001 (0.001)	Loss 2.3638 (2.1949)	Prec@1 46.094 (44.695)	Prec@5 75.781 (75.305)
Epoch: [46][12950/14090]	Time 0.725 (0.763)	Data 0.001 (0.001)	Loss 2.2342 (2.1949)	Prec@1 41.406 (44.695)	Prec@5 71.875 (75.304)
Epoch: [46][12960/14090]	Time 0.738 (0.763)	Data 0.001 (0.001)	Loss 2.4049 (2.1949)	Prec@1 41.406 (44.696)	Prec@5 71.094 (75.303)
Epoch: [46][12970/14090]	Time 0.723 (0.763)	Data 0.001 (0.001)	Loss 2.0459 (2.1950)	Prec@1 44.531 (44.696)	Prec@5 80.469 (75.303)
Epoch: [46][12980/14090]	Time 0.757 (0.763)	Data 0.001 (0.001)	Loss 2.2855 (2.1949)	Prec@1 42.188 (44.697)	Prec@5 75.000 (75.303)
Epoch: [46][12990/14090]	Time 0.757 (0.763)	Data 0.001 (0.001)	Loss 2.1867 (2.1949)	Prec@1 47.656 (44.697)	Prec@5 78.125 (75.304)
Epoch: [46][13000/14090]	Time 0.847 (0.763)	Data 0.001 (0.001)	Loss 2.2151 (2.1949)	Prec@1 46.094 (44.698)	Prec@5 75.000 (75.305)
Epoch: [46][13010/14090]	Time 0.740 (0.763)	Data 0.001 (0.001)	Loss 2.0468 (2.1949)	Prec@1 46.094 (44.698)	Prec@5 80.469 (75.305)
Epoch: [46][13020/14090]	Time 0.741 (0.763)	Data 0.001 (0.001)	Loss 2.3374 (2.1949)	Prec@1 43.750 (44.698)	Prec@5 71.875 (75.307)
Epoch: [46][13030/14090]	Time 0.753 (0.763)	Data 0.001 (0.001)	Loss 2.1361 (2.1948)	Prec@1 45.312 (44.698)	Prec@5 80.469 (75.308)
Epoch: [46][13040/14090]	Time 0.762 (0.763)	Data 0.001 (0.001)	Loss 2.2344 (2.1948)	Prec@1 49.219 (44.698)	Prec@5 73.438 (75.308)
Epoch: [46][13050/14090]	Time 0.771 (0.763)	Data 0.003 (0.001)	Loss 2.4206 (2.1949)	Prec@1 40.625 (44.697)	Prec@5 78.125 (75.308)
Epoch: [46][13060/14090]	Time 0.766 (0.763)	Data 0.001 (0.001)	Loss 2.4068 (2.1949)	Prec@1 45.312 (44.697)	Prec@5 71.094 (75.308)
Epoch: [46][13070/14090]	Time 0.863 (0.763)	Data 0.001 (0.001)	Loss 1.9747 (2.1948)	Prec@1 43.750 (44.698)	Prec@5 77.344 (75.309)
Epoch: [46][13080/14090]	Time 0.726 (0.763)	Data 0.001 (0.001)	Loss 2.1421 (2.1949)	Prec@1 46.875 (44.699)	Prec@5 77.344 (75.310)
Epoch: [46][13090/14090]	Time 0.727 (0.763)	Data 0.001 (0.001)	Loss 1.9480 (2.1949)	Prec@1 49.219 (44.698)	Prec@5 81.250 (75.309)
Epoch: [46][13100/14090]	Time 0.750 (0.763)	Data 0.001 (0.001)	Loss 2.1417 (2.1948)	Prec@1 48.438 (44.700)	Prec@5 75.000 (75.309)
Epoch: [46][13110/14090]	Time 0.731 (0.763)	Data 0.001 (0.001)	Loss 1.9862 (2.1947)	Prec@1 47.656 (44.702)	Prec@5 78.906 (75.311)
Epoch: [46][13120/14090]	Time 0.736 (0.763)	Data 0.001 (0.001)	Loss 2.3103 (2.1947)	Prec@1 45.312 (44.702)	Prec@5 72.656 (75.310)
Epoch: [46][13130/14090]	Time 0.747 (0.763)	Data 0.001 (0.001)	Loss 1.9657 (2.1947)	Prec@1 50.781 (44.703)	Prec@5 81.250 (75.310)
Epoch: [46][13140/14090]	Time 0.896 (0.763)	Data 0.002 (0.001)	Loss 2.2123 (2.1947)	Prec@1 47.656 (44.703)	Prec@5 73.438 (75.310)
Epoch: [46][13150/14090]	Time 0.757 (0.763)	Data 0.001 (0.001)	Loss 2.1560 (2.1947)	Prec@1 50.000 (44.703)	Prec@5 75.000 (75.309)
Epoch: [46][13160/14090]	Time 0.741 (0.763)	Data 0.001 (0.001)	Loss 2.1264 (2.1947)	Prec@1 45.312 (44.702)	Prec@5 78.125 (75.309)
Epoch: [46][13170/14090]	Time 0.794 (0.763)	Data 0.001 (0.001)	Loss 2.2145 (2.1947)	Prec@1 40.625 (44.702)	Prec@5 77.344 (75.309)
Epoch: [46][13180/14090]	Time 0.729 (0.763)	Data 0.001 (0.001)	Loss 2.2738 (2.1948)	Prec@1 46.094 (44.700)	Prec@5 68.750 (75.307)
Epoch: [46][13190/14090]	Time 0.767 (0.763)	Data 0.001 (0.001)	Loss 1.9417 (2.1947)	Prec@1 48.438 (44.700)	Prec@5 82.031 (75.308)
Epoch: [46][13200/14090]	Time 0.755 (0.763)	Data 0.001 (0.001)	Loss 2.0984 (2.1947)	Prec@1 47.656 (44.701)	Prec@5 77.344 (75.308)
Epoch: [46][13210/14090]	Time 0.856 (0.763)	Data 0.001 (0.001)	Loss 2.1201 (2.1948)	Prec@1 44.531 (44.698)	Prec@5 78.906 (75.306)
Epoch: [46][13220/14090]	Time 0.732 (0.763)	Data 0.001 (0.001)	Loss 2.2767 (2.1948)	Prec@1 46.875 (44.698)	Prec@5 75.781 (75.307)
Epoch: [46][13230/14090]	Time 0.746 (0.763)	Data 0.001 (0.001)	Loss 2.0235 (2.1948)	Prec@1 50.781 (44.698)	Prec@5 79.688 (75.307)
Epoch: [46][13240/14090]	Time 0.753 (0.763)	Data 0.001 (0.001)	Loss 2.4244 (2.1948)	Prec@1 34.375 (44.697)	Prec@5 71.875 (75.307)
Epoch: [46][13250/14090]	Time 0.770 (0.763)	Data 0.001 (0.001)	Loss 2.2672 (2.1948)	Prec@1 40.625 (44.697)	Prec@5 74.219 (75.307)
Epoch: [46][13260/14090]	Time 0.727 (0.763)	Data 0.001 (0.001)	Loss 2.2849 (2.1948)	Prec@1 44.531 (44.697)	Prec@5 71.094 (75.308)
Epoch: [46][13270/14090]	Time 0.740 (0.763)	Data 0.001 (0.001)	Loss 2.1651 (2.1948)	Prec@1 42.188 (44.697)	Prec@5 79.688 (75.308)
Epoch: [46][13280/14090]	Time 0.875 (0.763)	Data 0.001 (0.001)	Loss 2.0828 (2.1948)	Prec@1 44.531 (44.696)	Prec@5 77.344 (75.307)
Epoch: [46][13290/14090]	Time 0.750 (0.763)	Data 0.001 (0.001)	Loss 2.3109 (2.1948)	Prec@1 46.094 (44.696)	Prec@5 69.531 (75.306)
Epoch: [46][13300/14090]	Time 0.750 (0.763)	Data 0.001 (0.001)	Loss 1.9237 (2.1948)	Prec@1 51.562 (44.696)	Prec@5 79.688 (75.308)
Epoch: [46][13310/14090]	Time 0.777 (0.763)	Data 0.001 (0.001)	Loss 2.1838 (2.1949)	Prec@1 47.656 (44.694)	Prec@5 75.000 (75.307)
Epoch: [46][13320/14090]	Time 0.759 (0.763)	Data 0.001 (0.001)	Loss 2.2200 (2.1949)	Prec@1 49.219 (44.694)	Prec@5 75.781 (75.308)
Epoch: [46][13330/14090]	Time 0.755 (0.763)	Data 0.001 (0.001)	Loss 2.2087 (2.1949)	Prec@1 47.656 (44.693)	Prec@5 74.219 (75.308)
Epoch: [46][13340/14090]	Time 0.739 (0.763)	Data 0.001 (0.001)	Loss 2.3083 (2.1950)	Prec@1 43.750 (44.690)	Prec@5 74.219 (75.306)
Epoch: [46][13350/14090]	Time 0.864 (0.763)	Data 0.001 (0.001)	Loss 2.1502 (2.1950)	Prec@1 46.094 (44.690)	Prec@5 75.781 (75.307)
Epoch: [46][13360/14090]	Time 0.737 (0.763)	Data 0.001 (0.001)	Loss 2.2744 (2.1950)	Prec@1 39.844 (44.690)	Prec@5 72.656 (75.306)
Epoch: [46][13370/14090]	Time 0.738 (0.763)	Data 0.001 (0.001)	Loss 1.8922 (2.1950)	Prec@1 48.438 (44.689)	Prec@5 84.375 (75.308)
Epoch: [46][13380/14090]	Time 0.753 (0.763)	Data 0.001 (0.001)	Loss 2.2165 (2.1950)	Prec@1 44.531 (44.688)	Prec@5 77.344 (75.308)
Epoch: [46][13390/14090]	Time 0.761 (0.763)	Data 0.001 (0.001)	Loss 1.8816 (2.1950)	Prec@1 49.219 (44.687)	Prec@5 85.938 (75.307)
Epoch: [46][13400/14090]	Time 0.749 (0.763)	Data 0.001 (0.001)	Loss 2.0162 (2.1950)	Prec@1 50.781 (44.689)	Prec@5 78.906 (75.307)
Epoch: [46][13410/14090]	Time 0.769 (0.763)	Data 0.001 (0.001)	Loss 2.3198 (2.1951)	Prec@1 43.750 (44.687)	Prec@5 75.781 (75.306)
Epoch: [46][13420/14090]	Time 0.836 (0.763)	Data 0.001 (0.001)	Loss 2.1708 (2.1951)	Prec@1 46.875 (44.688)	Prec@5 76.562 (75.306)
Epoch: [46][13430/14090]	Time 0.747 (0.763)	Data 0.001 (0.001)	Loss 2.1926 (2.1951)	Prec@1 47.656 (44.686)	Prec@5 71.875 (75.305)
Epoch: [46][13440/14090]	Time 0.761 (0.763)	Data 0.001 (0.001)	Loss 2.3768 (2.1951)	Prec@1 39.844 (44.686)	Prec@5 73.438 (75.306)
Epoch: [46][13450/14090]	Time 0.745 (0.763)	Data 0.001 (0.001)	Loss 2.1191 (2.1951)	Prec@1 47.656 (44.687)	Prec@5 75.000 (75.306)
Epoch: [46][13460/14090]	Time 0.739 (0.763)	Data 0.001 (0.001)	Loss 2.1777 (2.1952)	Prec@1 45.312 (44.686)	Prec@5 74.219 (75.305)
Epoch: [46][13470/14090]	Time 0.759 (0.763)	Data 0.001 (0.001)	Loss 2.1821 (2.1951)	Prec@1 45.312 (44.686)	Prec@5 76.562 (75.306)
Epoch: [46][13480/14090]	Time 0.741 (0.763)	Data 0.001 (0.001)	Loss 2.2397 (2.1951)	Prec@1 44.531 (44.686)	Prec@5 75.000 (75.305)
Epoch: [46][13490/14090]	Time 0.882 (0.763)	Data 0.001 (0.001)	Loss 2.3166 (2.1951)	Prec@1 50.000 (44.686)	Prec@5 71.094 (75.305)
Epoch: [46][13500/14090]	Time 0.735 (0.763)	Data 0.001 (0.001)	Loss 2.3298 (2.1952)	Prec@1 39.844 (44.684)	Prec@5 69.531 (75.303)
Epoch: [46][13510/14090]	Time 0.750 (0.763)	Data 0.001 (0.001)	Loss 1.9969 (2.1952)	Prec@1 43.750 (44.684)	Prec@5 81.250 (75.304)
Epoch: [46][13520/14090]	Time 0.763 (0.763)	Data 0.001 (0.001)	Loss 2.1416 (2.1952)	Prec@1 46.094 (44.685)	Prec@5 75.000 (75.304)
Epoch: [46][13530/14090]	Time 0.727 (0.763)	Data 0.001 (0.001)	Loss 2.0707 (2.1952)	Prec@1 50.000 (44.685)	Prec@5 78.125 (75.304)
Epoch: [46][13540/14090]	Time 0.762 (0.763)	Data 0.001 (0.001)	Loss 2.0268 (2.1951)	Prec@1 39.844 (44.686)	Prec@5 80.469 (75.305)
Epoch: [46][13550/14090]	Time 0.767 (0.763)	Data 0.001 (0.001)	Loss 1.9902 (2.1951)	Prec@1 46.875 (44.686)	Prec@5 77.344 (75.305)
Epoch: [46][13560/14090]	Time 0.888 (0.763)	Data 0.001 (0.001)	Loss 2.1563 (2.1951)	Prec@1 44.531 (44.687)	Prec@5 74.219 (75.306)
Epoch: [46][13570/14090]	Time 0.739 (0.763)	Data 0.001 (0.001)	Loss 1.9752 (2.1951)	Prec@1 47.656 (44.688)	Prec@5 82.031 (75.306)
Epoch: [46][13580/14090]	Time 0.730 (0.763)	Data 0.001 (0.001)	Loss 1.7563 (2.1951)	Prec@1 53.906 (44.687)	Prec@5 83.594 (75.307)
Epoch: [46][13590/14090]	Time 0.748 (0.763)	Data 0.001 (0.001)	Loss 1.9399 (2.1950)	Prec@1 50.781 (44.688)	Prec@5 78.125 (75.308)
Epoch: [46][13600/14090]	Time 0.734 (0.763)	Data 0.001 (0.001)	Loss 2.0753 (2.1950)	Prec@1 43.750 (44.689)	Prec@5 75.000 (75.308)
Epoch: [46][13610/14090]	Time 0.729 (0.763)	Data 0.001 (0.001)	Loss 2.0978 (2.1950)	Prec@1 50.781 (44.690)	Prec@5 76.562 (75.308)
Epoch: [46][13620/14090]	Time 0.782 (0.763)	Data 0.001 (0.001)	Loss 2.0497 (2.1951)	Prec@1 46.094 (44.689)	Prec@5 78.125 (75.306)
Epoch: [46][13630/14090]	Time 0.853 (0.763)	Data 0.001 (0.001)	Loss 2.2726 (2.1951)	Prec@1 42.188 (44.688)	Prec@5 74.219 (75.306)
Epoch: [46][13640/14090]	Time 0.750 (0.763)	Data 0.001 (0.001)	Loss 2.1131 (2.1951)	Prec@1 48.438 (44.687)	Prec@5 78.125 (75.307)
Epoch: [46][13650/14090]	Time 0.762 (0.763)	Data 0.001 (0.001)	Loss 1.9747 (2.1951)	Prec@1 49.219 (44.688)	Prec@5 78.906 (75.307)
Epoch: [46][13660/14090]	Time 0.743 (0.763)	Data 0.001 (0.001)	Loss 2.3439 (2.1951)	Prec@1 45.312 (44.688)	Prec@5 69.531 (75.306)
Epoch: [46][13670/14090]	Time 0.766 (0.763)	Data 0.001 (0.001)	Loss 2.1089 (2.1951)	Prec@1 45.312 (44.688)	Prec@5 79.688 (75.307)
Epoch: [46][13680/14090]	Time 0.754 (0.763)	Data 0.001 (0.001)	Loss 2.1591 (2.1951)	Prec@1 43.750 (44.688)	Prec@5 73.438 (75.307)
Epoch: [46][13690/14090]	Time 0.730 (0.763)	Data 0.001 (0.001)	Loss 1.8219 (2.1951)	Prec@1 52.344 (44.690)	Prec@5 82.031 (75.308)
Epoch: [46][13700/14090]	Time 0.902 (0.763)	Data 0.001 (0.001)	Loss 2.2095 (2.1951)	Prec@1 43.750 (44.689)	Prec@5 74.219 (75.307)
Epoch: [46][13710/14090]	Time 0.780 (0.763)	Data 0.001 (0.001)	Loss 2.2049 (2.1950)	Prec@1 41.406 (44.689)	Prec@5 77.344 (75.308)
Epoch: [46][13720/14090]	Time 0.736 (0.763)	Data 0.001 (0.001)	Loss 2.1945 (2.1950)	Prec@1 44.531 (44.688)	Prec@5 77.344 (75.309)
Epoch: [46][13730/14090]	Time 0.755 (0.763)	Data 0.001 (0.001)	Loss 2.1413 (2.1951)	Prec@1 45.312 (44.688)	Prec@5 77.344 (75.308)
Epoch: [46][13740/14090]	Time 0.756 (0.763)	Data 0.001 (0.001)	Loss 2.5911 (2.1951)	Prec@1 41.406 (44.687)	Prec@5 69.531 (75.307)
Epoch: [46][13750/14090]	Time 0.764 (0.763)	Data 0.001 (0.001)	Loss 2.2724 (2.1951)	Prec@1 43.750 (44.687)	Prec@5 75.000 (75.307)
Epoch: [46][13760/14090]	Time 0.754 (0.763)	Data 0.001 (0.001)	Loss 2.0879 (2.1951)	Prec@1 46.094 (44.687)	Prec@5 72.656 (75.307)
Epoch: [46][13770/14090]	Time 0.877 (0.763)	Data 0.001 (0.001)	Loss 2.0986 (2.1951)	Prec@1 50.000 (44.685)	Prec@5 81.250 (75.307)
Epoch: [46][13780/14090]	Time 0.760 (0.763)	Data 0.001 (0.001)	Loss 2.2749 (2.1952)	Prec@1 45.312 (44.684)	Prec@5 71.094 (75.306)
Epoch: [46][13790/14090]	Time 0.734 (0.763)	Data 0.001 (0.001)	Loss 2.2802 (2.1952)	Prec@1 41.406 (44.685)	Prec@5 74.219 (75.306)
Epoch: [46][13800/14090]	Time 0.724 (0.763)	Data 0.001 (0.001)	Loss 2.2452 (2.1952)	Prec@1 43.750 (44.685)	Prec@5 72.656 (75.305)
Epoch: [46][13810/14090]	Time 0.727 (0.763)	Data 0.001 (0.001)	Loss 2.1700 (2.1952)	Prec@1 44.531 (44.685)	Prec@5 75.000 (75.303)
Epoch: [46][13820/14090]	Time 0.756 (0.763)	Data 0.001 (0.001)	Loss 2.4906 (2.1952)	Prec@1 38.281 (44.686)	Prec@5 71.094 (75.303)
Epoch: [46][13830/14090]	Time 0.761 (0.763)	Data 0.001 (0.001)	Loss 2.2669 (2.1952)	Prec@1 44.531 (44.686)	Prec@5 73.438 (75.304)
Epoch: [46][13840/14090]	Time 0.856 (0.763)	Data 0.001 (0.001)	Loss 2.0599 (2.1952)	Prec@1 49.219 (44.687)	Prec@5 79.688 (75.303)
Epoch: [46][13850/14090]	Time 0.752 (0.763)	Data 0.001 (0.001)	Loss 2.0484 (2.1952)	Prec@1 50.000 (44.687)	Prec@5 75.000 (75.304)
Epoch: [46][13860/14090]	Time 0.736 (0.763)	Data 0.001 (0.001)	Loss 2.2054 (2.1952)	Prec@1 40.625 (44.686)	Prec@5 71.875 (75.302)
Epoch: [46][13870/14090]	Time 0.748 (0.763)	Data 0.001 (0.001)	Loss 1.9364 (2.1952)	Prec@1 52.344 (44.686)	Prec@5 82.031 (75.303)
Epoch: [46][13880/14090]	Time 0.772 (0.763)	Data 0.001 (0.001)	Loss 2.3630 (2.1952)	Prec@1 42.969 (44.686)	Prec@5 75.000 (75.303)
Epoch: [46][13890/14090]	Time 0.753 (0.763)	Data 0.001 (0.001)	Loss 2.1827 (2.1952)	Prec@1 45.312 (44.687)	Prec@5 75.781 (75.303)
Epoch: [46][13900/14090]	Time 0.745 (0.763)	Data 0.001 (0.001)	Loss 1.8717 (2.1951)	Prec@1 52.344 (44.688)	Prec@5 83.594 (75.304)
Epoch: [46][13910/14090]	Time 0.856 (0.763)	Data 0.001 (0.001)	Loss 2.2279 (2.1952)	Prec@1 46.094 (44.686)	Prec@5 71.875 (75.302)
Epoch: [46][13920/14090]	Time 0.742 (0.763)	Data 0.001 (0.001)	Loss 2.2713 (2.1953)	Prec@1 44.531 (44.685)	Prec@5 72.656 (75.300)
Epoch: [46][13930/14090]	Time 0.760 (0.763)	Data 0.001 (0.001)	Loss 1.9518 (2.1953)	Prec@1 50.000 (44.685)	Prec@5 81.250 (75.299)
Epoch: [46][13940/14090]	Time 0.740 (0.763)	Data 0.001 (0.001)	Loss 2.4853 (2.1953)	Prec@1 39.062 (44.685)	Prec@5 65.625 (75.299)
Epoch: [46][13950/14090]	Time 0.779 (0.763)	Data 0.001 (0.001)	Loss 2.2117 (2.1953)	Prec@1 49.219 (44.687)	Prec@5 73.438 (75.299)
Epoch: [46][13960/14090]	Time 0.749 (0.763)	Data 0.001 (0.001)	Loss 2.2675 (2.1952)	Prec@1 39.062 (44.689)	Prec@5 75.000 (75.301)
Epoch: [46][13970/14090]	Time 0.761 (0.763)	Data 0.001 (0.001)	Loss 2.3672 (2.1953)	Prec@1 41.406 (44.688)	Prec@5 73.438 (75.300)
Epoch: [46][13980/14090]	Time 0.894 (0.763)	Data 0.001 (0.001)	Loss 2.0647 (2.1953)	Prec@1 50.781 (44.687)	Prec@5 75.781 (75.299)
Epoch: [46][13990/14090]	Time 0.744 (0.763)	Data 0.001 (0.001)	Loss 2.2188 (2.1953)	Prec@1 43.750 (44.688)	Prec@5 75.781 (75.299)
Epoch: [46][14000/14090]	Time 0.731 (0.763)	Data 0.001 (0.001)	Loss 2.2334 (2.1953)	Prec@1 42.969 (44.688)	Prec@5 75.781 (75.300)
Epoch: [46][14010/14090]	Time 0.741 (0.763)	Data 0.001 (0.001)	Loss 2.4339 (2.1953)	Prec@1 41.406 (44.687)	Prec@5 71.875 (75.300)
Epoch: [46][14020/14090]	Time 0.723 (0.763)	Data 0.001 (0.001)	Loss 2.4651 (2.1953)	Prec@1 41.406 (44.687)	Prec@5 70.312 (75.300)
Epoch: [46][14030/14090]	Time 0.761 (0.763)	Data 0.001 (0.001)	Loss 2.3171 (2.1953)	Prec@1 41.406 (44.686)	Prec@5 70.312 (75.299)
Epoch: [46][14040/14090]	Time 0.743 (0.763)	Data 0.001 (0.001)	Loss 2.2691 (2.1953)	Prec@1 44.531 (44.687)	Prec@5 72.656 (75.299)
Epoch: [46][14050/14090]	Time 0.879 (0.763)	Data 0.001 (0.001)	Loss 2.1596 (2.1953)	Prec@1 42.969 (44.687)	Prec@5 71.875 (75.298)
Epoch: [46][14060/14090]	Time 0.742 (0.763)	Data 0.001 (0.001)	Loss 1.9377 (2.1953)	Prec@1 50.781 (44.687)	Prec@5 85.938 (75.299)
Epoch: [46][14070/14090]	Time 0.723 (0.763)	Data 0.001 (0.001)	Loss 2.2015 (2.1953)	Prec@1 47.656 (44.686)	Prec@5 74.219 (75.298)
Epoch: [46][14080/14090]	Time 0.749 (0.763)	Data 0.000 (0.001)	Loss 2.1501 (2.1954)	Prec@1 40.625 (44.684)	Prec@5 79.688 (75.297)
Test: [0/286]	Time 4.585 (4.585)	Loss 1.4661 (1.4661)	Prec@1 55.469 (55.469)	Prec@5 92.969 (92.969)
Test: [10/286]	Time 0.241 (0.773)	Loss 1.7659 (2.0053)	Prec@1 53.906 (48.651)	Prec@5 82.812 (80.398)
Test: [20/286]	Time 0.235 (0.588)	Loss 1.5530 (1.9375)	Prec@1 63.281 (49.814)	Prec@5 85.938 (81.362)
Test: [30/286]	Time 0.231 (0.521)	Loss 2.0273 (1.8625)	Prec@1 48.438 (52.016)	Prec@5 81.250 (82.006)
Test: [40/286]	Time 1.399 (0.517)	Loss 1.8104 (1.8811)	Prec@1 45.312 (51.143)	Prec@5 84.375 (81.841)
Test: [50/286]	Time 0.233 (0.496)	Loss 0.6047 (1.8463)	Prec@1 85.938 (52.083)	Prec@5 94.531 (82.338)
Test: [60/286]	Time 0.242 (0.477)	Loss 2.4492 (1.8712)	Prec@1 37.500 (51.703)	Prec@5 69.531 (81.288)
Test: [70/286]	Time 0.254 (0.464)	Loss 1.2901 (1.8516)	Prec@1 67.969 (52.025)	Prec@5 89.062 (81.723)
Test: [80/286]	Time 1.276 (0.470)	Loss 2.5441 (1.8843)	Prec@1 32.812 (50.955)	Prec@5 73.438 (81.414)
Test: [90/286]	Time 0.628 (0.464)	Loss 1.6901 (1.8714)	Prec@1 48.438 (51.279)	Prec@5 88.281 (81.679)
Test: [100/286]	Time 0.236 (0.454)	Loss 2.2207 (1.8826)	Prec@1 32.812 (50.704)	Prec@5 82.031 (81.768)
Test: [110/286]	Time 0.246 (0.450)	Loss 2.2861 (1.8919)	Prec@1 44.531 (50.549)	Prec@5 75.781 (81.827)
Test: [120/286]	Time 0.998 (0.451)	Loss 1.4122 (1.8654)	Prec@1 67.969 (51.337)	Prec@5 84.375 (82.115)
Test: [130/286]	Time 0.713 (0.450)	Loss 1.2329 (1.8578)	Prec@1 62.500 (51.521)	Prec@5 89.062 (82.246)
Test: [140/286]	Time 0.241 (0.446)	Loss 2.4171 (1.8614)	Prec@1 41.406 (51.402)	Prec@5 73.438 (82.164)
Test: [150/286]	Time 0.228 (0.441)	Loss 2.7324 (1.8737)	Prec@1 28.906 (50.880)	Prec@5 74.219 (82.067)
Test: [160/286]	Time 1.298 (0.445)	Loss 3.1102 (1.8760)	Prec@1 20.312 (50.830)	Prec@5 60.156 (82.007)
Test: [170/286]	Time 0.416 (0.442)	Loss 1.9848 (1.8674)	Prec@1 47.656 (50.932)	Prec@5 79.688 (82.168)
Test: [180/286]	Time 0.257 (0.440)	Loss 1.9757 (1.8815)	Prec@1 57.812 (50.561)	Prec@5 78.906 (82.027)
Test: [190/286]	Time 0.230 (0.438)	Loss 3.3183 (1.9017)	Prec@1 10.156 (50.086)	Prec@5 64.062 (81.819)
Test: [200/286]	Time 0.481 (0.437)	Loss 2.1503 (1.8975)	Prec@1 45.312 (50.179)	Prec@5 82.812 (81.852)
Test: [210/286]	Time 1.151 (0.439)	Loss 1.9804 (1.9018)	Prec@1 48.438 (49.956)	Prec@5 81.250 (81.765)
Test: [220/286]	Time 0.292 (0.437)	Loss 2.5133 (1.9079)	Prec@1 35.938 (49.823)	Prec@5 75.000 (81.618)
Test: [230/286]	Time 0.269 (0.435)	Loss 1.1918 (1.9082)	Prec@1 67.969 (49.858)	Prec@5 91.406 (81.551)
Test: [240/286]	Time 0.253 (0.434)	Loss 2.0808 (1.9077)	Prec@1 46.094 (49.896)	Prec@5 78.125 (81.539)
Test: [250/286]	Time 0.920 (0.435)	Loss 2.3594 (1.9015)	Prec@1 37.500 (49.922)	Prec@5 74.219 (81.689)
Test: [260/286]	Time 0.285 (0.435)	Loss 1.9663 (1.8938)	Prec@1 46.875 (50.177)	Prec@5 82.031 (81.789)
Test: [270/286]	Time 0.360 (0.434)	Loss 1.0246 (1.8898)	Prec@1 73.438 (50.271)	Prec@5 93.750 (81.884)
Test: [280/286]	Time 0.299 (0.432)	Loss 1.6199 (1.8747)	Prec@1 60.156 (50.781)	Prec@5 88.281 (82.037)
 * Prec@1 50.947 Prec@5 82.082
Epoch: [47][0/14090]	Time 6.099 (6.099)	Data 5.312 (5.312)	Loss 2.0566 (2.0566)	Prec@1 49.219 (49.219)	Prec@5 78.125 (78.125)
Epoch: [47][10/14090]	Time 0.769 (1.232)	Data 0.001 (0.484)	Loss 1.9824 (2.1289)	Prec@1 46.875 (45.739)	Prec@5 77.344 (76.136)
Epoch: [47][20/14090]	Time 0.869 (1.013)	Data 0.001 (0.254)	Loss 2.2239 (2.1981)	Prec@1 45.312 (43.304)	Prec@5 75.000 (74.554)
Epoch: [47][30/14090]	Time 0.723 (0.928)	Data 0.001 (0.172)	Loss 2.1636 (2.1660)	Prec@1 42.188 (44.304)	Prec@5 74.219 (75.378)
Epoch: [47][40/14090]	Time 0.734 (0.884)	Data 0.001 (0.130)	Loss 2.1457 (2.1493)	Prec@1 42.188 (44.798)	Prec@5 78.125 (75.762)
Epoch: [47][50/14090]	Time 0.750 (0.860)	Data 0.001 (0.105)	Loss 1.9762 (2.1450)	Prec@1 45.312 (44.914)	Prec@5 75.781 (75.674)
Epoch: [47][60/14090]	Time 0.754 (0.843)	Data 0.001 (0.088)	Loss 2.2626 (2.1572)	Prec@1 40.625 (44.839)	Prec@5 73.438 (75.666)
Epoch: [47][70/14090]	Time 0.756 (0.832)	Data 0.001 (0.076)	Loss 1.9064 (2.1601)	Prec@1 47.656 (44.861)	Prec@5 79.688 (75.726)
Epoch: [47][80/14090]	Time 0.728 (0.822)	Data 0.001 (0.066)	Loss 2.1626 (2.1575)	Prec@1 47.656 (45.120)	Prec@5 78.906 (75.791)
Epoch: [47][90/14090]	Time 0.865 (0.816)	Data 0.001 (0.059)	Loss 2.3214 (2.1617)	Prec@1 46.094 (45.124)	Prec@5 75.000 (75.635)
Epoch: [47][100/14090]	Time 0.727 (0.810)	Data 0.001 (0.053)	Loss 2.1735 (2.1623)	Prec@1 44.531 (45.173)	Prec@5 75.781 (75.534)
Epoch: [47][110/14090]	Time 0.746 (0.806)	Data 0.002 (0.049)	Loss 2.2178 (2.1632)	Prec@1 44.531 (45.298)	Prec@5 72.656 (75.486)
Epoch: [47][120/14090]	Time 0.761 (0.803)	Data 0.001 (0.045)	Loss 1.9382 (2.1677)	Prec@1 44.531 (45.216)	Prec@5 83.594 (75.471)
Epoch: [47][130/14090]	Time 0.741 (0.799)	Data 0.001 (0.041)	Loss 1.8558 (2.1681)	Prec@1 48.438 (45.151)	Prec@5 81.250 (75.495)
Epoch: [47][140/14090]	Time 0.738 (0.797)	Data 0.001 (0.039)	Loss 2.1339 (2.1715)	Prec@1 46.875 (45.052)	Prec@5 73.438 (75.449)
Epoch: [47][150/14090]	Time 0.745 (0.795)	Data 0.001 (0.036)	Loss 2.1898 (2.1722)	Prec@1 42.969 (44.966)	Prec@5 73.438 (75.445)
Epoch: [47][160/14090]	Time 0.867 (0.794)	Data 0.001 (0.034)	Loss 2.3590 (2.1659)	Prec@1 42.969 (45.177)	Prec@5 68.750 (75.519)
Epoch: [47][170/14090]	Time 0.740 (0.792)	Data 0.001 (0.032)	Loss 2.2045 (2.1697)	Prec@1 50.000 (45.175)	Prec@5 72.656 (75.429)
Epoch: [47][180/14090]	Time 0.740 (0.790)	Data 0.001 (0.030)	Loss 2.1781 (2.1666)	Prec@1 39.844 (45.213)	Prec@5 78.906 (75.470)
Epoch: [47][190/14090]	Time 0.735 (0.789)	Data 0.001 (0.029)	Loss 2.1442 (2.1690)	Prec@1 45.312 (45.169)	Prec@5 78.125 (75.450)
Epoch: [47][200/14090]	Time 0.772 (0.788)	Data 0.001 (0.027)	Loss 2.1707 (2.1669)	Prec@1 46.094 (45.274)	Prec@5 73.438 (75.505)
Epoch: [47][210/14090]	Time 0.755 (0.787)	Data 0.001 (0.026)	Loss 2.3488 (2.1723)	Prec@1 42.969 (45.164)	Prec@5 74.219 (75.400)
Epoch: [47][220/14090]	Time 0.745 (0.785)	Data 0.001 (0.025)	Loss 2.0457 (2.1732)	Prec@1 47.656 (45.150)	Prec@5 79.688 (75.438)
Epoch: [47][230/14090]	Time 0.966 (0.786)	Data 0.001 (0.024)	Loss 2.0441 (2.1723)	Prec@1 44.531 (45.208)	Prec@5 79.688 (75.457)
Epoch: [47][240/14090]	Time 0.758 (0.785)	Data 0.001 (0.023)	Loss 1.9465 (2.1690)	Prec@1 51.562 (45.248)	Prec@5 77.344 (75.477)
Epoch: [47][250/14090]	Time 0.728 (0.784)	Data 0.001 (0.022)	Loss 2.4978 (2.1712)	Prec@1 36.719 (45.222)	Prec@5 65.625 (75.386)
Epoch: [47][260/14090]	Time 0.727 (0.783)	Data 0.001 (0.021)	Loss 2.1675 (2.1721)	Prec@1 42.188 (45.217)	Prec@5 75.781 (75.401)
Epoch: [47][270/14090]	Time 0.770 (0.782)	Data 0.001 (0.020)	Loss 2.0691 (2.1717)	Prec@1 48.438 (45.197)	Prec@5 75.000 (75.412)
Epoch: [47][280/14090]	Time 0.746 (0.782)	Data 0.001 (0.020)	Loss 2.1182 (2.1725)	Prec@1 46.875 (45.101)	Prec@5 76.562 (75.386)
Epoch: [47][290/14090]	Time 0.752 (0.781)	Data 0.001 (0.019)	Loss 2.1564 (2.1712)	Prec@1 49.219 (45.082)	Prec@5 71.875 (75.416)
Epoch: [47][300/14090]	Time 0.893 (0.781)	Data 0.001 (0.019)	Loss 2.2958 (2.1709)	Prec@1 42.969 (45.107)	Prec@5 72.656 (75.397)
Epoch: [47][310/14090]	Time 0.757 (0.780)	Data 0.001 (0.018)	Loss 2.1866 (2.1704)	Prec@1 46.875 (45.081)	Prec@5 75.000 (75.414)
Epoch: [47][320/14090]	Time 0.743 (0.779)	Data 0.001 (0.017)	Loss 2.2120 (2.1697)	Prec@1 42.188 (45.115)	Prec@5 75.000 (75.421)
Epoch: [47][330/14090]	Time 0.773 (0.779)	Data 0.001 (0.017)	Loss 2.0410 (2.1689)	Prec@1 46.094 (45.135)	Prec@5 78.906 (75.425)
Epoch: [47][340/14090]	Time 0.767 (0.779)	Data 0.001 (0.016)	Loss 2.3290 (2.1695)	Prec@1 38.281 (45.077)	Prec@5 74.219 (75.433)
Epoch: [47][350/14090]	Time 0.738 (0.779)	Data 0.001 (0.016)	Loss 2.2553 (2.1719)	Prec@1 41.406 (45.016)	Prec@5 78.125 (75.416)
Epoch: [47][360/14090]	Time 0.725 (0.778)	Data 0.001 (0.016)	Loss 2.1890 (2.1698)	Prec@1 42.969 (45.072)	Prec@5 75.000 (75.470)
Epoch: [47][370/14090]	Time 0.859 (0.778)	Data 0.001 (0.015)	Loss 2.2361 (2.1703)	Prec@1 44.531 (45.091)	Prec@5 75.781 (75.444)
Epoch: [47][380/14090]	Time 0.732 (0.777)	Data 0.001 (0.015)	Loss 2.0253 (2.1680)	Prec@1 51.562 (45.183)	Prec@5 78.125 (75.482)
Epoch: [47][390/14090]	Time 0.759 (0.777)	Data 0.001 (0.014)	Loss 2.0994 (2.1671)	Prec@1 46.094 (45.213)	Prec@5 79.688 (75.514)
Epoch: [47][400/14090]	Time 0.744 (0.777)	Data 0.001 (0.014)	Loss 2.1502 (2.1663)	Prec@1 42.188 (45.201)	Prec@5 82.031 (75.555)
Epoch: [47][410/14090]	Time 0.737 (0.777)	Data 0.001 (0.014)	Loss 2.0971 (2.1651)	Prec@1 44.531 (45.235)	Prec@5 75.781 (75.561)
Epoch: [47][420/14090]	Time 0.761 (0.777)	Data 0.001 (0.014)	Loss 2.0912 (2.1647)	Prec@1 48.438 (45.253)	Prec@5 74.219 (75.538)
Epoch: [47][430/14090]	Time 0.771 (0.776)	Data 0.001 (0.013)	Loss 2.3419 (2.1642)	Prec@1 42.188 (45.247)	Prec@5 72.656 (75.546)
Epoch: [47][440/14090]	Time 0.872 (0.776)	Data 0.001 (0.013)	Loss 1.7630 (2.1633)	Prec@1 53.125 (45.256)	Prec@5 82.812 (75.567)
Epoch: [47][450/14090]	Time 0.721 (0.775)	Data 0.001 (0.013)	Loss 2.3475 (2.1622)	Prec@1 38.281 (45.261)	Prec@5 71.094 (75.599)
Epoch: [47][460/14090]	Time 0.750 (0.775)	Data 0.001 (0.012)	Loss 2.4408 (2.1639)	Prec@1 37.500 (45.207)	Prec@5 67.969 (75.583)
Epoch: [47][470/14090]	Time 0.750 (0.775)	Data 0.001 (0.012)	Loss 2.2686 (2.1638)	Prec@1 45.312 (45.203)	Prec@5 72.656 (75.590)
Epoch: [47][480/14090]	Time 0.758 (0.775)	Data 0.001 (0.012)	Loss 2.3139 (2.1648)	Prec@1 44.531 (45.202)	Prec@5 72.656 (75.572)
Epoch: [47][490/14090]	Time 0.730 (0.775)	Data 0.001 (0.012)	Loss 2.1435 (2.1649)	Prec@1 42.188 (45.207)	Prec@5 79.688 (75.574)
Epoch: [47][500/14090]	Time 0.757 (0.774)	Data 0.001 (0.011)	Loss 2.4342 (2.1663)	Prec@1 39.844 (45.158)	Prec@5 71.094 (75.557)
Epoch: [47][510/14090]	Time 0.874 (0.774)	Data 0.001 (0.011)	Loss 2.2907 (2.1661)	Prec@1 38.281 (45.147)	Prec@5 76.562 (75.576)
Epoch: [47][520/14090]	Time 0.736 (0.774)	Data 0.001 (0.011)	Loss 2.4749 (2.1668)	Prec@1 35.938 (45.139)	Prec@5 75.000 (75.579)
Epoch: [47][530/14090]	Time 0.726 (0.774)	Data 0.001 (0.011)	Loss 1.9185 (2.1668)	Prec@1 50.000 (45.132)	Prec@5 82.031 (75.577)
Epoch: [47][540/14090]	Time 0.724 (0.774)	Data 0.001 (0.011)	Loss 2.1465 (2.1686)	Prec@1 42.969 (45.096)	Prec@5 76.562 (75.556)
Epoch: [47][550/14090]	Time 0.758 (0.773)	Data 0.001 (0.011)	Loss 2.2143 (2.1698)	Prec@1 46.094 (45.105)	Prec@5 73.438 (75.535)
Epoch: [47][560/14090]	Time 0.758 (0.774)	Data 0.001 (0.010)	Loss 2.2576 (2.1706)	Prec@1 39.062 (45.051)	Prec@5 75.781 (75.528)
Epoch: [47][570/14090]	Time 0.723 (0.773)	Data 0.001 (0.010)	Loss 2.1862 (2.1713)	Prec@1 38.281 (45.040)	Prec@5 73.438 (75.513)
Epoch: [47][580/14090]	Time 0.852 (0.773)	Data 0.001 (0.010)	Loss 2.2616 (2.1710)	Prec@1 46.094 (45.029)	Prec@5 69.531 (75.527)
Epoch: [47][590/14090]	Time 0.729 (0.773)	Data 0.001 (0.010)	Loss 2.2090 (2.1720)	Prec@1 45.312 (45.011)	Prec@5 73.438 (75.502)
Epoch: [47][600/14090]	Time 0.753 (0.772)	Data 0.001 (0.010)	Loss 2.2686 (2.1708)	Prec@1 40.625 (45.045)	Prec@5 71.094 (75.515)
Epoch: [47][610/14090]	Time 0.781 (0.772)	Data 0.001 (0.010)	Loss 2.2109 (2.1705)	Prec@1 46.875 (45.048)	Prec@5 73.438 (75.523)
Epoch: [47][620/14090]	Time 0.752 (0.772)	Data 0.001 (0.009)	Loss 2.0836 (2.1715)	Prec@1 50.781 (45.033)	Prec@5 73.438 (75.487)
Epoch: [47][630/14090]	Time 0.732 (0.772)	Data 0.001 (0.009)	Loss 2.2308 (2.1704)	Prec@1 46.875 (45.072)	Prec@5 77.344 (75.498)
Epoch: [47][640/14090]	Time 0.729 (0.772)	Data 0.001 (0.009)	Loss 2.2898 (2.1703)	Prec@1 43.750 (45.071)	Prec@5 75.000 (75.511)
Epoch: [47][650/14090]	Time 0.868 (0.772)	Data 0.001 (0.009)	Loss 2.2461 (2.1701)	Prec@1 46.875 (45.087)	Prec@5 68.750 (75.515)
Epoch: [47][660/14090]	Time 0.735 (0.772)	Data 0.001 (0.009)	Loss 2.2419 (2.1707)	Prec@1 42.969 (45.081)	Prec@5 74.219 (75.537)
Epoch: [47][670/14090]	Time 0.767 (0.771)	Data 0.001 (0.009)	Loss 2.0456 (2.1707)	Prec@1 46.875 (45.073)	Prec@5 77.344 (75.540)
Epoch: [47][680/14090]	Time 0.779 (0.771)	Data 0.001 (0.009)	Loss 2.2668 (2.1718)	Prec@1 46.875 (45.053)	Prec@5 76.562 (75.512)
Epoch: [47][690/14090]	Time 0.741 (0.771)	Data 0.001 (0.009)	Loss 2.0782 (2.1723)	Prec@1 43.750 (45.029)	Prec@5 77.344 (75.504)
Epoch: [47][700/14090]	Time 0.722 (0.771)	Data 0.001 (0.008)	Loss 2.3264 (2.1723)	Prec@1 43.750 (45.029)	Prec@5 71.875 (75.510)
Epoch: [47][710/14090]	Time 0.771 (0.771)	Data 0.001 (0.008)	Loss 2.3770 (2.1728)	Prec@1 43.750 (45.029)	Prec@5 71.875 (75.512)
Epoch: [47][720/14090]	Time 0.851 (0.771)	Data 0.001 (0.008)	Loss 2.2371 (2.1732)	Prec@1 46.094 (45.043)	Prec@5 70.312 (75.498)
Epoch: [47][730/14090]	Time 0.740 (0.771)	Data 0.001 (0.008)	Loss 2.1216 (2.1718)	Prec@1 48.438 (45.060)	Prec@5 75.781 (75.532)
Epoch: [47][740/14090]	Time 0.727 (0.771)	Data 0.001 (0.008)	Loss 2.0543 (2.1718)	Prec@1 46.094 (45.057)	Prec@5 81.250 (75.531)
Epoch: [47][750/14090]	Time 0.757 (0.771)	Data 0.001 (0.008)	Loss 2.1141 (2.1717)	Prec@1 43.750 (45.056)	Prec@5 73.438 (75.545)
Epoch: [47][760/14090]	Time 0.744 (0.771)	Data 0.001 (0.008)	Loss 2.3173 (2.1710)	Prec@1 42.188 (45.058)	Prec@5 71.094 (75.553)
Epoch: [47][770/14090]	Time 0.729 (0.770)	Data 0.001 (0.008)	Loss 2.1203 (2.1704)	Prec@1 54.688 (45.088)	Prec@5 73.438 (75.570)
Epoch: [47][780/14090]	Time 0.754 (0.770)	Data 0.001 (0.008)	Loss 2.2042 (2.1707)	Prec@1 42.969 (45.085)	Prec@5 78.125 (75.574)
Epoch: [47][790/14090]	Time 0.851 (0.770)	Data 0.002 (0.008)	Loss 1.9951 (2.1715)	Prec@1 50.000 (45.059)	Prec@5 82.812 (75.565)
Epoch: [47][800/14090]	Time 0.763 (0.770)	Data 0.001 (0.008)	Loss 2.2054 (2.1724)	Prec@1 50.000 (45.047)	Prec@5 75.781 (75.555)
Epoch: [47][810/14090]	Time 0.741 (0.770)	Data 0.001 (0.007)	Loss 2.2460 (2.1733)	Prec@1 43.750 (45.035)	Prec@5 79.688 (75.543)
Epoch: [47][820/14090]	Time 0.757 (0.770)	Data 0.001 (0.007)	Loss 2.2156 (2.1733)	Prec@1 46.094 (45.052)	Prec@5 78.125 (75.522)
Epoch: [47][830/14090]	Time 0.733 (0.770)	Data 0.001 (0.007)	Loss 1.9410 (2.1737)	Prec@1 51.562 (45.056)	Prec@5 80.469 (75.525)
Epoch: [47][840/14090]	Time 0.740 (0.770)	Data 0.001 (0.007)	Loss 2.3388 (2.1752)	Prec@1 39.844 (45.036)	Prec@5 70.312 (75.499)
Epoch: [47][850/14090]	Time 0.719 (0.770)	Data 0.001 (0.007)	Loss 2.2561 (2.1751)	Prec@1 42.188 (45.045)	Prec@5 75.781 (75.520)
Epoch: [47][860/14090]	Time 0.896 (0.770)	Data 0.001 (0.007)	Loss 2.1878 (2.1750)	Prec@1 41.406 (45.029)	Prec@5 72.656 (75.536)
Epoch: [47][870/14090]	Time 0.735 (0.770)	Data 0.001 (0.007)	Loss 2.1381 (2.1755)	Prec@1 42.188 (45.029)	Prec@5 75.000 (75.531)
Epoch: [47][880/14090]	Time 0.752 (0.770)	Data 0.001 (0.007)	Loss 2.3400 (2.1760)	Prec@1 41.406 (45.019)	Prec@5 70.312 (75.534)
Epoch: [47][890/14090]	Time 0.763 (0.770)	Data 0.001 (0.007)	Loss 1.7989 (2.1751)	Prec@1 45.312 (45.047)	Prec@5 85.938 (75.558)
Epoch: [47][900/14090]	Time 0.752 (0.769)	Data 0.001 (0.007)	Loss 1.8566 (2.1745)	Prec@1 46.094 (45.043)	Prec@5 82.812 (75.584)
Epoch: [47][910/14090]	Time 0.756 (0.770)	Data 0.001 (0.007)	Loss 2.0686 (2.1743)	Prec@1 46.875 (45.032)	Prec@5 77.344 (75.586)
Epoch: [47][920/14090]	Time 0.763 (0.769)	Data 0.002 (0.007)	Loss 2.2033 (2.1748)	Prec@1 42.188 (45.023)	Prec@5 77.344 (75.567)
Epoch: [47][930/14090]	Time 0.971 (0.770)	Data 0.001 (0.007)	Loss 2.1471 (2.1750)	Prec@1 48.438 (45.021)	Prec@5 73.438 (75.567)
Epoch: [47][940/14090]	Time 0.755 (0.769)	Data 0.001 (0.007)	Loss 1.9159 (2.1743)	Prec@1 53.906 (45.040)	Prec@5 79.688 (75.584)
Epoch: [47][950/14090]	Time 0.729 (0.769)	Data 0.001 (0.006)	Loss 2.2237 (2.1744)	Prec@1 47.656 (45.044)	Prec@5 78.125 (75.591)
Epoch: [47][960/14090]	Time 0.747 (0.769)	Data 0.001 (0.006)	Loss 1.9933 (2.1745)	Prec@1 42.969 (45.037)	Prec@5 82.031 (75.589)
Epoch: [47][970/14090]	Time 0.764 (0.769)	Data 0.001 (0.006)	Loss 2.1946 (2.1748)	Prec@1 41.406 (45.033)	Prec@5 75.000 (75.570)
Epoch: [47][980/14090]	Time 0.753 (0.769)	Data 0.001 (0.006)	Loss 2.0874 (2.1754)	Prec@1 48.438 (45.024)	Prec@5 76.562 (75.569)
Epoch: [47][990/14090]	Time 0.750 (0.769)	Data 0.001 (0.006)	Loss 2.1139 (2.1750)	Prec@1 46.875 (45.035)	Prec@5 76.562 (75.571)
Epoch: [47][1000/14090]	Time 0.861 (0.769)	Data 0.001 (0.006)	Loss 2.0968 (2.1748)	Prec@1 47.656 (45.057)	Prec@5 75.000 (75.567)
Epoch: [47][1010/14090]	Time 0.744 (0.769)	Data 0.001 (0.006)	Loss 2.3196 (2.1752)	Prec@1 42.969 (45.054)	Prec@5 73.438 (75.562)
Epoch: [47][1020/14090]	Time 0.740 (0.769)	Data 0.001 (0.006)	Loss 2.1239 (2.1755)	Prec@1 45.312 (45.042)	Prec@5 72.656 (75.552)
Epoch: [47][1030/14090]	Time 0.725 (0.769)	Data 0.001 (0.006)	Loss 2.1181 (2.1750)	Prec@1 49.219 (45.051)	Prec@5 75.000 (75.557)
Epoch: [47][1040/14090]	Time 0.731 (0.769)	Data 0.001 (0.006)	Loss 2.3757 (2.1756)	Prec@1 43.750 (45.036)	Prec@5 73.438 (75.547)
Epoch: [47][1050/14090]	Time 0.724 (0.769)	Data 0.001 (0.006)	Loss 2.0608 (2.1749)	Prec@1 48.438 (45.046)	Prec@5 79.688 (75.564)
Epoch: [47][1060/14090]	Time 0.745 (0.769)	Data 0.001 (0.006)	Loss 2.4785 (2.1757)	Prec@1 39.062 (45.048)	Prec@5 69.531 (75.555)
Epoch: [47][1070/14090]	Time 0.845 (0.769)	Data 0.001 (0.006)	Loss 2.0821 (2.1763)	Prec@1 44.531 (45.032)	Prec@5 83.594 (75.539)
Epoch: [47][1080/14090]	Time 0.748 (0.769)	Data 0.001 (0.006)	Loss 2.1721 (2.1759)	Prec@1 46.875 (45.042)	Prec@5 75.781 (75.552)
Epoch: [47][1090/14090]	Time 0.758 (0.769)	Data 0.001 (0.006)	Loss 1.8966 (2.1758)	Prec@1 50.781 (45.048)	Prec@5 80.469 (75.543)
Epoch: [47][1100/14090]	Time 0.728 (0.769)	Data 0.001 (0.006)	Loss 2.0581 (2.1767)	Prec@1 47.656 (45.047)	Prec@5 76.562 (75.522)
Epoch: [47][1110/14090]	Time 0.737 (0.769)	Data 0.001 (0.006)	Loss 2.1055 (2.1771)	Prec@1 44.531 (45.033)	Prec@5 75.781 (75.521)
Epoch: [47][1120/14090]	Time 0.755 (0.769)	Data 0.001 (0.006)	Loss 2.3117 (2.1771)	Prec@1 41.406 (45.037)	Prec@5 72.656 (75.523)
Epoch: [47][1130/14090]	Time 0.750 (0.769)	Data 0.001 (0.006)	Loss 2.2523 (2.1776)	Prec@1 42.969 (45.034)	Prec@5 75.781 (75.528)
Epoch: [47][1140/14090]	Time 0.866 (0.769)	Data 0.001 (0.006)	Loss 2.3760 (2.1781)	Prec@1 46.875 (45.028)	Prec@5 69.531 (75.529)
Epoch: [47][1150/14090]	Time 0.743 (0.769)	Data 0.001 (0.005)	Loss 1.9471 (2.1782)	Prec@1 49.219 (45.026)	Prec@5 79.688 (75.532)
Epoch: [47][1160/14090]	Time 0.768 (0.769)	Data 0.001 (0.005)	Loss 2.3578 (2.1782)	Prec@1 39.844 (45.022)	Prec@5 75.000 (75.548)
Epoch: [47][1170/14090]	Time 0.724 (0.769)	Data 0.001 (0.005)	Loss 2.2814 (2.1782)	Prec@1 39.062 (45.026)	Prec@5 68.750 (75.545)
Epoch: [47][1180/14090]	Time 0.749 (0.769)	Data 0.001 (0.005)	Loss 2.1292 (2.1789)	Prec@1 50.781 (45.013)	Prec@5 71.875 (75.536)
Epoch: [47][1190/14090]	Time 0.768 (0.769)	Data 0.001 (0.005)	Loss 2.0559 (2.1790)	Prec@1 41.406 (44.988)	Prec@5 81.250 (75.532)
Epoch: [47][1200/14090]	Time 0.755 (0.769)	Data 0.001 (0.005)	Loss 2.1590 (2.1790)	Prec@1 50.000 (44.990)	Prec@5 71.875 (75.528)
Epoch: [47][1210/14090]	Time 0.864 (0.769)	Data 0.001 (0.005)	Loss 2.0722 (2.1786)	Prec@1 48.438 (44.997)	Prec@5 77.344 (75.530)
Epoch: [47][1220/14090]	Time 0.728 (0.769)	Data 0.001 (0.005)	Loss 2.1025 (2.1775)	Prec@1 47.656 (45.011)	Prec@5 81.250 (75.541)
Epoch: [47][1230/14090]	Time 0.730 (0.769)	Data 0.001 (0.005)	Loss 2.0239 (2.1776)	Prec@1 46.875 (45.014)	Prec@5 78.125 (75.541)
Epoch: [47][1240/14090]	Time 0.770 (0.769)	Data 0.001 (0.005)	Loss 2.1317 (2.1781)	Prec@1 46.875 (45.010)	Prec@5 76.562 (75.531)
Epoch: [47][1250/14090]	Time 0.755 (0.769)	Data 0.001 (0.005)	Loss 2.0827 (2.1775)	Prec@1 49.219 (45.026)	Prec@5 75.781 (75.537)
Epoch: [47][1260/14090]	Time 0.751 (0.769)	Data 0.001 (0.005)	Loss 2.0109 (2.1771)	Prec@1 48.438 (45.030)	Prec@5 79.688 (75.538)
Epoch: [47][1270/14090]	Time 0.753 (0.768)	Data 0.001 (0.005)	Loss 1.9437 (2.1769)	Prec@1 46.875 (45.038)	Prec@5 78.906 (75.546)
Epoch: [47][1280/14090]	Time 0.865 (0.769)	Data 0.001 (0.005)	Loss 2.0381 (2.1769)	Prec@1 48.438 (45.048)	Prec@5 82.812 (75.541)
Epoch: [47][1290/14090]	Time 0.758 (0.769)	Data 0.001 (0.005)	Loss 2.2946 (2.1767)	Prec@1 39.844 (45.053)	Prec@5 78.125 (75.544)
Epoch: [47][1300/14090]	Time 0.735 (0.768)	Data 0.001 (0.005)	Loss 2.3765 (2.1766)	Prec@1 35.938 (45.042)	Prec@5 75.781 (75.552)
Epoch: [47][1310/14090]	Time 0.743 (0.768)	Data 0.001 (0.005)	Loss 2.2299 (2.1771)	Prec@1 53.125 (45.040)	Prec@5 72.656 (75.537)
Epoch: [47][1320/14090]	Time 0.722 (0.768)	Data 0.001 (0.005)	Loss 2.0941 (2.1776)	Prec@1 42.188 (45.032)	Prec@5 75.781 (75.527)
Epoch: [47][1330/14090]	Time 0.754 (0.768)	Data 0.001 (0.005)	Loss 2.2758 (2.1777)	Prec@1 43.750 (45.021)	Prec@5 75.000 (75.523)
Epoch: [47][1340/14090]	Time 0.749 (0.768)	Data 0.001 (0.005)	Loss 2.2350 (2.1779)	Prec@1 44.531 (45.031)	Prec@5 75.000 (75.524)
Epoch: [47][1350/14090]	Time 0.864 (0.768)	Data 0.001 (0.005)	Loss 2.3559 (2.1776)	Prec@1 40.625 (45.027)	Prec@5 72.656 (75.532)
Epoch: [47][1360/14090]	Time 0.738 (0.768)	Data 0.001 (0.005)	Loss 2.2051 (2.1776)	Prec@1 46.094 (45.023)	Prec@5 71.875 (75.528)
Epoch: [47][1370/14090]	Time 0.738 (0.768)	Data 0.001 (0.005)	Loss 1.9743 (2.1774)	Prec@1 46.875 (45.025)	Prec@5 78.906 (75.526)
Epoch: [47][1380/14090]	Time 0.785 (0.768)	Data 0.001 (0.005)	Loss 2.4927 (2.1776)	Prec@1 38.281 (45.030)	Prec@5 71.094 (75.528)
Epoch: [47][1390/14090]	Time 0.730 (0.768)	Data 0.001 (0.005)	Loss 2.3068 (2.1781)	Prec@1 39.844 (45.002)	Prec@5 74.219 (75.517)
Epoch: [47][1400/14090]	Time 0.755 (0.768)	Data 0.001 (0.005)	Loss 2.0831 (2.1781)	Prec@1 50.000 (45.005)	Prec@5 77.344 (75.514)
Epoch: [47][1410/14090]	Time 0.736 (0.768)	Data 0.001 (0.005)	Loss 2.2752 (2.1778)	Prec@1 46.875 (45.009)	Prec@5 71.875 (75.526)
Epoch: [47][1420/14090]	Time 0.871 (0.768)	Data 0.001 (0.005)	Loss 2.1866 (2.1782)	Prec@1 33.594 (44.993)	Prec@5 79.688 (75.517)
Epoch: [47][1430/14090]	Time 0.726 (0.768)	Data 0.001 (0.005)	Loss 1.9923 (2.1782)	Prec@1 51.562 (45.000)	Prec@5 80.469 (75.519)
Epoch: [47][1440/14090]	Time 0.748 (0.768)	Data 0.001 (0.005)	Loss 2.0781 (2.1783)	Prec@1 46.875 (44.985)	Prec@5 76.562 (75.529)
Epoch: [47][1450/14090]	Time 0.731 (0.768)	Data 0.001 (0.005)	Loss 2.3233 (2.1790)	Prec@1 49.219 (44.986)	Prec@5 73.438 (75.508)
Epoch: [47][1460/14090]	Time 0.741 (0.768)	Data 0.001 (0.005)	Loss 2.2336 (2.1793)	Prec@1 42.969 (44.986)	Prec@5 78.125 (75.506)
Epoch: [47][1470/14090]	Time 0.761 (0.768)	Data 0.002 (0.004)	Loss 2.2279 (2.1795)	Prec@1 39.844 (44.976)	Prec@5 74.219 (75.509)
Epoch: [47][1480/14090]	Time 0.732 (0.768)	Data 0.001 (0.004)	Loss 2.3855 (2.1797)	Prec@1 43.750 (44.978)	Prec@5 72.656 (75.506)
Epoch: [47][1490/14090]	Time 0.810 (0.768)	Data 0.001 (0.004)	Loss 2.3688 (2.1794)	Prec@1 43.750 (44.983)	Prec@5 67.188 (75.505)
Epoch: [47][1500/14090]	Time 0.731 (0.768)	Data 0.001 (0.004)	Loss 2.2143 (2.1797)	Prec@1 46.094 (44.979)	Prec@5 75.781 (75.500)
Epoch: [47][1510/14090]	Time 0.739 (0.768)	Data 0.001 (0.004)	Loss 2.2313 (2.1794)	Prec@1 39.062 (44.989)	Prec@5 74.219 (75.505)
Epoch: [47][1520/14090]	Time 0.753 (0.768)	Data 0.001 (0.004)	Loss 1.8920 (2.1797)	Prec@1 57.031 (44.984)	Prec@5 81.250 (75.511)
Epoch: [47][1530/14090]	Time 0.755 (0.768)	Data 0.001 (0.004)	Loss 2.3065 (2.1793)	Prec@1 45.312 (44.995)	Prec@5 70.312 (75.523)
Epoch: [47][1540/14090]	Time 0.751 (0.768)	Data 0.001 (0.004)	Loss 2.1073 (2.1797)	Prec@1 50.781 (44.993)	Prec@5 78.125 (75.519)
Epoch: [47][1550/14090]	Time 0.736 (0.768)	Data 0.001 (0.004)	Loss 2.0631 (2.1798)	Prec@1 44.531 (44.988)	Prec@5 75.781 (75.514)
Epoch: [47][1560/14090]	Time 0.863 (0.768)	Data 0.001 (0.004)	Loss 2.3840 (2.1799)	Prec@1 43.750 (44.992)	Prec@5 67.969 (75.508)
Epoch: [47][1570/14090]	Time 0.752 (0.768)	Data 0.001 (0.004)	Loss 1.9107 (2.1795)	Prec@1 51.562 (44.997)	Prec@5 78.906 (75.516)
Epoch: [47][1580/14090]	Time 0.736 (0.768)	Data 0.001 (0.004)	Loss 2.0341 (2.1799)	Prec@1 41.406 (44.989)	Prec@5 78.906 (75.513)
Epoch: [47][1590/14090]	Time 0.736 (0.768)	Data 0.001 (0.004)	Loss 2.2839 (2.1800)	Prec@1 42.969 (44.985)	Prec@5 72.656 (75.512)
Epoch: [47][1600/14090]	Time 0.733 (0.768)	Data 0.001 (0.004)	Loss 2.4120 (2.1803)	Prec@1 40.625 (44.976)	Prec@5 75.000 (75.507)
Epoch: [47][1610/14090]	Time 0.755 (0.768)	Data 0.001 (0.004)	Loss 2.2210 (2.1803)	Prec@1 45.312 (44.983)	Prec@5 73.438 (75.507)
Epoch: [47][1620/14090]	Time 0.741 (0.768)	Data 0.001 (0.004)	Loss 2.3489 (2.1808)	Prec@1 42.969 (44.978)	Prec@5 70.312 (75.491)
Epoch: [47][1630/14090]	Time 0.873 (0.768)	Data 0.001 (0.004)	Loss 2.2917 (2.1812)	Prec@1 40.625 (44.980)	Prec@5 76.562 (75.478)
Epoch: [47][1640/14090]	Time 0.732 (0.768)	Data 0.001 (0.004)	Loss 2.0001 (2.1813)	Prec@1 47.656 (44.981)	Prec@5 79.688 (75.477)
Epoch: [47][1650/14090]	Time 0.720 (0.767)	Data 0.001 (0.004)	Loss 2.0697 (2.1811)	Prec@1 46.875 (44.977)	Prec@5 75.000 (75.486)
Epoch: [47][1660/14090]	Time 0.748 (0.767)	Data 0.001 (0.004)	Loss 2.0746 (2.1814)	Prec@1 51.562 (44.980)	Prec@5 74.219 (75.476)
Epoch: [47][1670/14090]	Time 0.735 (0.767)	Data 0.001 (0.004)	Loss 2.3701 (2.1820)	Prec@1 42.969 (44.984)	Prec@5 72.656 (75.471)
Epoch: [47][1680/14090]	Time 0.756 (0.767)	Data 0.001 (0.004)	Loss 2.2583 (2.1823)	Prec@1 39.844 (44.970)	Prec@5 75.000 (75.470)
Epoch: [47][1690/14090]	Time 0.767 (0.767)	Data 0.001 (0.004)	Loss 1.9691 (2.1820)	Prec@1 52.344 (44.983)	Prec@5 82.812 (75.480)
Epoch: [47][1700/14090]	Time 0.867 (0.767)	Data 0.001 (0.004)	Loss 2.1947 (2.1820)	Prec@1 47.656 (44.994)	Prec@5 71.094 (75.472)
Epoch: [47][1710/14090]	Time 0.735 (0.767)	Data 0.001 (0.004)	Loss 2.1463 (2.1823)	Prec@1 47.656 (44.993)	Prec@5 75.781 (75.463)
Epoch: [47][1720/14090]	Time 0.772 (0.767)	Data 0.001 (0.004)	Loss 2.2141 (2.1823)	Prec@1 44.531 (44.992)	Prec@5 76.562 (75.463)
Epoch: [47][1730/14090]	Time 0.736 (0.767)	Data 0.001 (0.004)	Loss 2.0369 (2.1828)	Prec@1 45.312 (44.979)	Prec@5 77.344 (75.456)
Epoch: [47][1740/14090]	Time 0.733 (0.767)	Data 0.001 (0.004)	Loss 2.1568 (2.1826)	Prec@1 46.094 (44.988)	Prec@5 76.562 (75.462)
Epoch: [47][1750/14090]	Time 0.743 (0.767)	Data 0.001 (0.004)	Loss 2.1914 (2.1825)	Prec@1 46.094 (44.979)	Prec@5 77.344 (75.467)
Epoch: [47][1760/14090]	Time 0.760 (0.767)	Data 0.001 (0.004)	Loss 2.0783 (2.1826)	Prec@1 44.531 (44.974)	Prec@5 73.438 (75.456)
Epoch: [47][1770/14090]	Time 0.920 (0.767)	Data 0.001 (0.004)	Loss 2.4760 (2.1831)	Prec@1 35.938 (44.961)	Prec@5 68.750 (75.446)
Epoch: [47][1780/14090]	Time 0.739 (0.767)	Data 0.001 (0.004)	Loss 2.2087 (2.1828)	Prec@1 44.531 (44.966)	Prec@5 74.219 (75.451)
Epoch: [47][1790/14090]	Time 0.737 (0.767)	Data 0.001 (0.004)	Loss 2.1114 (2.1833)	Prec@1 46.094 (44.954)	Prec@5 76.562 (75.443)
Epoch: [47][1800/14090]	Time 0.757 (0.767)	Data 0.001 (0.004)	Loss 2.4732 (2.1832)	Prec@1 41.406 (44.955)	Prec@5 69.531 (75.444)
Epoch: [47][1810/14090]	Time 0.735 (0.767)	Data 0.001 (0.004)	Loss 2.2102 (2.1831)	Prec@1 41.406 (44.955)	Prec@5 76.562 (75.448)
Epoch: [47][1820/14090]	Time 0.755 (0.767)	Data 0.001 (0.004)	Loss 2.5373 (2.1835)	Prec@1 35.938 (44.951)	Prec@5 70.312 (75.438)
Epoch: [47][1830/14090]	Time 0.756 (0.767)	Data 0.001 (0.004)	Loss 2.0642 (2.1838)	Prec@1 45.312 (44.946)	Prec@5 74.219 (75.426)
Epoch: [47][1840/14090]	Time 0.841 (0.767)	Data 0.001 (0.004)	Loss 2.1917 (2.1837)	Prec@1 45.312 (44.948)	Prec@5 75.781 (75.427)
Epoch: [47][1850/14090]	Time 0.735 (0.767)	Data 0.001 (0.004)	Loss 2.1969 (2.1833)	Prec@1 42.188 (44.958)	Prec@5 72.656 (75.443)
Epoch: [47][1860/14090]	Time 0.734 (0.767)	Data 0.004 (0.004)	Loss 2.2703 (2.1839)	Prec@1 37.500 (44.950)	Prec@5 75.781 (75.426)
Epoch: [47][1870/14090]	Time 0.721 (0.767)	Data 0.001 (0.004)	Loss 2.1013 (2.1839)	Prec@1 43.750 (44.951)	Prec@5 78.125 (75.430)
Epoch: [47][1880/14090]	Time 0.740 (0.767)	Data 0.001 (0.004)	Loss 2.0550 (2.1843)	Prec@1 50.781 (44.950)	Prec@5 74.219 (75.417)
Epoch: [47][1890/14090]	Time 0.755 (0.767)	Data 0.001 (0.004)	Loss 2.2964 (2.1843)	Prec@1 47.656 (44.952)	Prec@5 70.312 (75.415)
Epoch: [47][1900/14090]	Time 0.768 (0.767)	Data 0.001 (0.004)	Loss 1.9483 (2.1843)	Prec@1 44.531 (44.952)	Prec@5 77.344 (75.407)
Epoch: [47][1910/14090]	Time 0.842 (0.767)	Data 0.001 (0.004)	Loss 2.2624 (2.1847)	Prec@1 39.062 (44.943)	Prec@5 77.344 (75.402)
Epoch: [47][1920/14090]	Time 0.749 (0.767)	Data 0.001 (0.004)	Loss 2.2449 (2.1850)	Prec@1 46.875 (44.933)	Prec@5 75.000 (75.402)
Epoch: [47][1930/14090]	Time 0.717 (0.767)	Data 0.001 (0.004)	Loss 2.0915 (2.1847)	Prec@1 48.438 (44.943)	Prec@5 75.000 (75.405)
Epoch: [47][1940/14090]	Time 0.759 (0.767)	Data 0.001 (0.004)	Loss 2.2439 (2.1851)	Prec@1 39.062 (44.931)	Prec@5 77.344 (75.402)
Epoch: [47][1950/14090]	Time 0.736 (0.767)	Data 0.001 (0.004)	Loss 2.2568 (2.1850)	Prec@1 42.188 (44.939)	Prec@5 73.438 (75.408)
Epoch: [47][1960/14090]	Time 0.728 (0.767)	Data 0.001 (0.004)	Loss 2.0608 (2.1842)	Prec@1 46.094 (44.956)	Prec@5 74.219 (75.420)
Epoch: [47][1970/14090]	Time 0.740 (0.767)	Data 0.001 (0.004)	Loss 2.5561 (2.1841)	Prec@1 37.500 (44.966)	Prec@5 67.188 (75.417)
Epoch: [47][1980/14090]	Time 0.863 (0.767)	Data 0.001 (0.004)	Loss 1.9060 (2.1840)	Prec@1 53.125 (44.969)	Prec@5 82.031 (75.421)
Epoch: [47][1990/14090]	Time 0.745 (0.767)	Data 0.001 (0.004)	Loss 2.1106 (2.1836)	Prec@1 43.750 (44.980)	Prec@5 71.875 (75.420)
Epoch: [47][2000/14090]	Time 0.772 (0.767)	Data 0.001 (0.004)	Loss 1.8362 (2.1831)	Prec@1 55.469 (44.995)	Prec@5 78.906 (75.430)
Epoch: [47][2010/14090]	Time 0.747 (0.767)	Data 0.001 (0.004)	Loss 2.4473 (2.1833)	Prec@1 45.312 (44.993)	Prec@5 69.531 (75.420)
Epoch: [47][2020/14090]	Time 0.725 (0.767)	Data 0.001 (0.004)	Loss 2.1090 (2.1835)	Prec@1 42.188 (44.990)	Prec@5 78.906 (75.418)
Epoch: [47][2030/14090]	Time 0.754 (0.767)	Data 0.001 (0.003)	Loss 2.1886 (2.1837)	Prec@1 37.500 (44.972)	Prec@5 71.875 (75.411)
Epoch: [47][2040/14090]	Time 0.755 (0.767)	Data 0.001 (0.003)	Loss 1.8450 (2.1834)	Prec@1 53.125 (44.979)	Prec@5 82.031 (75.421)
Epoch: [47][2050/14090]	Time 0.905 (0.767)	Data 0.001 (0.003)	Loss 2.2110 (2.1833)	Prec@1 43.750 (44.985)	Prec@5 75.000 (75.426)
Epoch: [47][2060/14090]	Time 0.729 (0.767)	Data 0.001 (0.003)	Loss 2.1419 (2.1833)	Prec@1 41.406 (44.985)	Prec@5 75.000 (75.427)
Epoch: [47][2070/14090]	Time 0.761 (0.767)	Data 0.001 (0.003)	Loss 2.2483 (2.1836)	Prec@1 43.750 (44.974)	Prec@5 78.906 (75.426)
Epoch: [47][2080/14090]	Time 0.747 (0.767)	Data 0.001 (0.003)	Loss 2.2663 (2.1838)	Prec@1 37.500 (44.960)	Prec@5 73.438 (75.418)
Epoch: [47][2090/14090]	Time 0.753 (0.767)	Data 0.001 (0.003)	Loss 2.0134 (2.1834)	Prec@1 41.406 (44.958)	Prec@5 82.031 (75.431)
Epoch: [47][2100/14090]	Time 0.750 (0.767)	Data 0.001 (0.003)	Loss 2.2499 (2.1838)	Prec@1 42.969 (44.950)	Prec@5 73.438 (75.422)
Epoch: [47][2110/14090]	Time 0.765 (0.767)	Data 0.001 (0.003)	Loss 2.1573 (2.1837)	Prec@1 42.188 (44.952)	Prec@5 75.781 (75.425)
Epoch: [47][2120/14090]	Time 0.837 (0.767)	Data 0.001 (0.003)	Loss 2.2789 (2.1840)	Prec@1 39.844 (44.943)	Prec@5 75.781 (75.422)
Epoch: [47][2130/14090]	Time 0.732 (0.767)	Data 0.001 (0.003)	Loss 2.3393 (2.1843)	Prec@1 50.000 (44.945)	Prec@5 72.656 (75.416)
Epoch: [47][2140/14090]	Time 0.754 (0.767)	Data 0.001 (0.003)	Loss 2.2563 (2.1843)	Prec@1 40.625 (44.943)	Prec@5 75.781 (75.417)
Epoch: [47][2150/14090]	Time 0.747 (0.767)	Data 0.001 (0.003)	Loss 2.2333 (2.1844)	Prec@1 47.656 (44.945)	Prec@5 73.438 (75.408)
Epoch: [47][2160/14090]	Time 0.765 (0.766)	Data 0.001 (0.003)	Loss 1.8618 (2.1847)	Prec@1 50.781 (44.937)	Prec@5 79.688 (75.402)
Epoch: [47][2170/14090]	Time 0.752 (0.767)	Data 0.001 (0.003)	Loss 2.2150 (2.1851)	Prec@1 42.188 (44.926)	Prec@5 78.125 (75.399)
Epoch: [47][2180/14090]	Time 0.741 (0.766)	Data 0.001 (0.003)	Loss 2.0323 (2.1845)	Prec@1 50.000 (44.937)	Prec@5 79.688 (75.412)
Epoch: [47][2190/14090]	Time 0.891 (0.766)	Data 0.001 (0.003)	Loss 2.0743 (2.1849)	Prec@1 44.531 (44.922)	Prec@5 75.781 (75.404)
Epoch: [47][2200/14090]	Time 0.736 (0.766)	Data 0.001 (0.003)	Loss 2.1463 (2.1850)	Prec@1 46.875 (44.921)	Prec@5 78.906 (75.400)
Epoch: [47][2210/14090]	Time 0.735 (0.766)	Data 0.001 (0.003)	Loss 2.0755 (2.1851)	Prec@1 46.875 (44.915)	Prec@5 73.438 (75.398)
Epoch: [47][2220/14090]	Time 0.755 (0.766)	Data 0.001 (0.003)	Loss 2.1284 (2.1852)	Prec@1 42.969 (44.906)	Prec@5 75.781 (75.393)
Epoch: [47][2230/14090]	Time 0.771 (0.766)	Data 0.001 (0.003)	Loss 2.2297 (2.1852)	Prec@1 42.969 (44.909)	Prec@5 72.656 (75.397)
Epoch: [47][2240/14090]	Time 0.765 (0.766)	Data 0.001 (0.003)	Loss 2.1572 (2.1850)	Prec@1 50.000 (44.920)	Prec@5 75.000 (75.404)
Epoch: [47][2250/14090]	Time 0.756 (0.766)	Data 0.001 (0.003)	Loss 2.4178 (2.1855)	Prec@1 39.062 (44.912)	Prec@5 71.875 (75.397)
Epoch: [47][2260/14090]	Time 0.867 (0.766)	Data 0.001 (0.003)	Loss 2.1759 (2.1853)	Prec@1 50.000 (44.920)	Prec@5 77.344 (75.401)
Epoch: [47][2270/14090]	Time 0.747 (0.766)	Data 0.001 (0.003)	Loss 1.9563 (2.1853)	Prec@1 52.344 (44.919)	Prec@5 76.562 (75.401)
Epoch: [47][2280/14090]	Time 0.734 (0.766)	Data 0.001 (0.003)	Loss 2.3177 (2.1851)	Prec@1 46.094 (44.923)	Prec@5 67.969 (75.401)
Epoch: [47][2290/14090]	Time 0.736 (0.766)	Data 0.001 (0.003)	Loss 2.1383 (2.1851)	Prec@1 46.875 (44.920)	Prec@5 77.344 (75.405)
Epoch: [47][2300/14090]	Time 0.732 (0.766)	Data 0.001 (0.003)	Loss 2.3308 (2.1855)	Prec@1 46.094 (44.909)	Prec@5 71.875 (75.396)
Epoch: [47][2310/14090]	Time 0.732 (0.766)	Data 0.001 (0.003)	Loss 2.0363 (2.1856)	Prec@1 47.656 (44.915)	Prec@5 77.344 (75.388)
Epoch: [47][2320/14090]	Time 0.762 (0.766)	Data 0.001 (0.003)	Loss 2.0280 (2.1855)	Prec@1 45.312 (44.920)	Prec@5 81.250 (75.394)
Epoch: [47][2330/14090]	Time 0.866 (0.766)	Data 0.001 (0.003)	Loss 2.2150 (2.1855)	Prec@1 46.875 (44.922)	Prec@5 75.781 (75.404)
Epoch: [47][2340/14090]	Time 0.755 (0.766)	Data 0.001 (0.003)	Loss 1.9688 (2.1853)	Prec@1 48.438 (44.924)	Prec@5 77.344 (75.413)
Epoch: [47][2350/14090]	Time 0.756 (0.766)	Data 0.001 (0.003)	Loss 2.1457 (2.1854)	Prec@1 40.625 (44.918)	Prec@5 78.906 (75.412)
Epoch: [47][2360/14090]	Time 0.753 (0.766)	Data 0.001 (0.003)	Loss 1.9880 (2.1856)	Prec@1 52.344 (44.918)	Prec@5 79.688 (75.406)
Epoch: [47][2370/14090]	Time 0.762 (0.766)	Data 0.001 (0.003)	Loss 2.1225 (2.1851)	Prec@1 45.312 (44.921)	Prec@5 78.906 (75.412)
Epoch: [47][2380/14090]	Time 0.729 (0.766)	Data 0.001 (0.003)	Loss 2.6641 (2.1851)	Prec@1 32.812 (44.921)	Prec@5 69.531 (75.413)
Epoch: [47][2390/14090]	Time 0.741 (0.766)	Data 0.001 (0.003)	Loss 2.3250 (2.1853)	Prec@1 46.875 (44.916)	Prec@5 68.750 (75.411)
Epoch: [47][2400/14090]	Time 0.905 (0.766)	Data 0.001 (0.003)	Loss 2.1492 (2.1852)	Prec@1 42.969 (44.921)	Prec@5 78.125 (75.414)
Epoch: [47][2410/14090]	Time 0.737 (0.766)	Data 0.001 (0.003)	Loss 2.0243 (2.1851)	Prec@1 52.344 (44.927)	Prec@5 80.469 (75.411)
Epoch: [47][2420/14090]	Time 0.762 (0.766)	Data 0.001 (0.003)	Loss 2.2437 (2.1852)	Prec@1 45.312 (44.932)	Prec@5 76.562 (75.406)
Epoch: [47][2430/14090]	Time 0.756 (0.766)	Data 0.001 (0.003)	Loss 2.1975 (2.1853)	Prec@1 46.875 (44.930)	Prec@5 77.344 (75.404)
Epoch: [47][2440/14090]	Time 0.768 (0.766)	Data 0.001 (0.003)	Loss 2.1331 (2.1853)	Prec@1 47.656 (44.933)	Prec@5 76.562 (75.401)
Epoch: [47][2450/14090]	Time 0.735 (0.766)	Data 0.001 (0.003)	Loss 2.1849 (2.1852)	Prec@1 40.625 (44.932)	Prec@5 76.562 (75.404)
Epoch: [47][2460/14090]	Time 0.738 (0.766)	Data 0.001 (0.003)	Loss 2.1941 (2.1854)	Prec@1 40.625 (44.930)	Prec@5 74.219 (75.398)
Epoch: [47][2470/14090]	Time 0.871 (0.766)	Data 0.001 (0.003)	Loss 2.3602 (2.1855)	Prec@1 39.062 (44.926)	Prec@5 69.531 (75.395)
Epoch: [47][2480/14090]	Time 0.748 (0.766)	Data 0.001 (0.003)	Loss 2.0685 (2.1857)	Prec@1 43.750 (44.918)	Prec@5 71.094 (75.392)
Epoch: [47][2490/14090]	Time 0.753 (0.766)	Data 0.001 (0.003)	Loss 2.0892 (2.1857)	Prec@1 50.781 (44.922)	Prec@5 78.906 (75.398)
Epoch: [47][2500/14090]	Time 0.772 (0.766)	Data 0.001 (0.003)	Loss 2.0490 (2.1854)	Prec@1 50.000 (44.925)	Prec@5 80.469 (75.405)
Epoch: [47][2510/14090]	Time 0.735 (0.766)	Data 0.001 (0.003)	Loss 2.1077 (2.1857)	Prec@1 47.656 (44.918)	Prec@5 76.562 (75.402)
Epoch: [47][2520/14090]	Time 0.768 (0.766)	Data 0.001 (0.003)	Loss 1.8933 (2.1860)	Prec@1 44.531 (44.903)	Prec@5 82.812 (75.397)
Epoch: [47][2530/14090]	Time 0.729 (0.766)	Data 0.001 (0.003)	Loss 2.1382 (2.1858)	Prec@1 46.094 (44.905)	Prec@5 73.438 (75.400)
Epoch: [47][2540/14090]	Time 0.863 (0.766)	Data 0.001 (0.003)	Loss 1.9996 (2.1859)	Prec@1 49.219 (44.905)	Prec@5 79.688 (75.398)
Epoch: [47][2550/14090]	Time 0.726 (0.766)	Data 0.001 (0.003)	Loss 2.2337 (2.1860)	Prec@1 41.406 (44.898)	Prec@5 71.094 (75.398)
Epoch: [47][2560/14090]	Time 0.740 (0.766)	Data 0.001 (0.003)	Loss 2.3146 (2.1860)	Prec@1 40.625 (44.894)	Prec@5 78.906 (75.400)
Epoch: [47][2570/14090]	Time 0.771 (0.766)	Data 0.001 (0.003)	Loss 1.9109 (2.1856)	Prec@1 50.781 (44.897)	Prec@5 85.156 (75.409)
Epoch: [47][2580/14090]	Time 0.727 (0.766)	Data 0.001 (0.003)	Loss 2.2795 (2.1857)	Prec@1 41.406 (44.896)	Prec@5 75.000 (75.407)
Epoch: [47][2590/14090]	Time 0.762 (0.766)	Data 0.001 (0.003)	Loss 2.1551 (2.1861)	Prec@1 46.875 (44.893)	Prec@5 76.562 (75.399)
Epoch: [47][2600/14090]	Time 0.726 (0.766)	Data 0.001 (0.003)	Loss 2.1702 (2.1861)	Prec@1 46.094 (44.895)	Prec@5 76.562 (75.399)
Epoch: [47][2610/14090]	Time 0.830 (0.766)	Data 0.001 (0.003)	Loss 2.3304 (2.1860)	Prec@1 39.062 (44.897)	Prec@5 71.094 (75.402)
Epoch: [47][2620/14090]	Time 0.750 (0.766)	Data 0.001 (0.003)	Loss 2.1419 (2.1858)	Prec@1 46.875 (44.901)	Prec@5 75.000 (75.409)
Epoch: [47][2630/14090]	Time 0.767 (0.766)	Data 0.001 (0.003)	Loss 2.2952 (2.1859)	Prec@1 41.406 (44.900)	Prec@5 73.438 (75.406)
Epoch: [47][2640/14090]	Time 0.748 (0.766)	Data 0.001 (0.003)	Loss 2.3070 (2.1859)	Prec@1 44.531 (44.903)	Prec@5 68.750 (75.401)
Epoch: [47][2650/14090]	Time 0.743 (0.766)	Data 0.001 (0.003)	Loss 2.1809 (2.1859)	Prec@1 44.531 (44.902)	Prec@5 78.125 (75.399)
Epoch: [47][2660/14090]	Time 0.724 (0.766)	Data 0.001 (0.003)	Loss 2.0058 (2.1860)	Prec@1 51.562 (44.907)	Prec@5 78.125 (75.393)
Epoch: [47][2670/14090]	Time 0.776 (0.766)	Data 0.001 (0.003)	Loss 2.0157 (2.1862)	Prec@1 42.188 (44.907)	Prec@5 79.688 (75.387)
Epoch: [47][2680/14090]	Time 0.873 (0.766)	Data 0.001 (0.003)	Loss 2.0617 (2.1860)	Prec@1 50.781 (44.918)	Prec@5 82.031 (75.393)
Epoch: [47][2690/14090]	Time 0.726 (0.766)	Data 0.001 (0.003)	Loss 1.9333 (2.1860)	Prec@1 49.219 (44.917)	Prec@5 80.469 (75.397)
Epoch: [47][2700/14090]	Time 0.724 (0.766)	Data 0.001 (0.003)	Loss 2.1430 (2.1862)	Prec@1 46.875 (44.915)	Prec@5 75.000 (75.391)
Epoch: [47][2710/14090]	Time 0.764 (0.766)	Data 0.001 (0.003)	Loss 2.2057 (2.1863)	Prec@1 39.844 (44.914)	Prec@5 76.562 (75.388)
Epoch: [47][2720/14090]	Time 0.761 (0.766)	Data 0.001 (0.003)	Loss 2.0618 (2.1862)	Prec@1 50.781 (44.919)	Prec@5 78.125 (75.395)
Epoch: [47][2730/14090]	Time 0.752 (0.766)	Data 0.001 (0.003)	Loss 2.0599 (2.1862)	Prec@1 47.656 (44.920)	Prec@5 77.344 (75.398)
Epoch: [47][2740/14090]	Time 0.751 (0.766)	Data 0.001 (0.003)	Loss 1.9088 (2.1859)	Prec@1 49.219 (44.923)	Prec@5 82.812 (75.406)
Epoch: [47][2750/14090]	Time 0.878 (0.766)	Data 0.001 (0.003)	Loss 2.0582 (2.1855)	Prec@1 42.969 (44.929)	Prec@5 75.000 (75.410)
Epoch: [47][2760/14090]	Time 0.741 (0.766)	Data 0.001 (0.003)	Loss 1.8738 (2.1855)	Prec@1 54.688 (44.934)	Prec@5 82.031 (75.408)
Epoch: [47][2770/14090]	Time 0.723 (0.766)	Data 0.001 (0.003)	Loss 2.1052 (2.1854)	Prec@1 47.656 (44.935)	Prec@5 78.125 (75.407)
Epoch: [47][2780/14090]	Time 0.767 (0.766)	Data 0.001 (0.003)	Loss 2.4622 (2.1852)	Prec@1 46.875 (44.947)	Prec@5 71.094 (75.413)
Epoch: [47][2790/14090]	Time 0.746 (0.766)	Data 0.001 (0.003)	Loss 2.3985 (2.1851)	Prec@1 33.594 (44.946)	Prec@5 69.531 (75.410)
Epoch: [47][2800/14090]	Time 0.741 (0.766)	Data 0.001 (0.003)	Loss 2.3629 (2.1848)	Prec@1 33.594 (44.954)	Prec@5 75.781 (75.416)
Epoch: [47][2810/14090]	Time 0.751 (0.766)	Data 0.001 (0.003)	Loss 2.1956 (2.1848)	Prec@1 42.969 (44.953)	Prec@5 78.906 (75.414)
Epoch: [47][2820/14090]	Time 0.840 (0.766)	Data 0.001 (0.003)	Loss 2.1094 (2.1847)	Prec@1 46.094 (44.954)	Prec@5 76.562 (75.420)
Epoch: [47][2830/14090]	Time 0.723 (0.766)	Data 0.001 (0.003)	Loss 2.4965 (2.1842)	Prec@1 36.719 (44.957)	Prec@5 67.969 (75.428)
Epoch: [47][2840/14090]	Time 0.747 (0.765)	Data 0.001 (0.003)	Loss 2.0645 (2.1839)	Prec@1 46.094 (44.964)	Prec@5 79.688 (75.440)
Epoch: [47][2850/14090]	Time 0.750 (0.765)	Data 0.001 (0.003)	Loss 2.2698 (2.1838)	Prec@1 37.500 (44.964)	Prec@5 78.906 (75.445)
Epoch: [47][2860/14090]	Time 0.744 (0.765)	Data 0.001 (0.003)	Loss 1.7236 (2.1839)	Prec@1 54.688 (44.959)	Prec@5 86.719 (75.447)
Epoch: [47][2870/14090]	Time 0.756 (0.765)	Data 0.001 (0.003)	Loss 2.0888 (2.1839)	Prec@1 42.188 (44.956)	Prec@5 77.344 (75.448)
Epoch: [47][2880/14090]	Time 0.761 (0.765)	Data 0.001 (0.003)	Loss 2.0304 (2.1838)	Prec@1 46.094 (44.956)	Prec@5 75.000 (75.452)
Epoch: [47][2890/14090]	Time 0.862 (0.765)	Data 0.001 (0.003)	Loss 2.2878 (2.1835)	Prec@1 41.406 (44.963)	Prec@5 72.656 (75.454)
Epoch: [47][2900/14090]	Time 0.744 (0.765)	Data 0.001 (0.003)	Loss 2.2859 (2.1835)	Prec@1 40.625 (44.961)	Prec@5 80.469 (75.457)
Epoch: [47][2910/14090]	Time 0.747 (0.765)	Data 0.001 (0.003)	Loss 2.1355 (2.1834)	Prec@1 43.750 (44.961)	Prec@5 74.219 (75.463)
Epoch: [47][2920/14090]	Time 0.762 (0.765)	Data 0.001 (0.003)	Loss 2.0901 (2.1830)	Prec@1 43.750 (44.967)	Prec@5 78.125 (75.470)
Epoch: [47][2930/14090]	Time 0.727 (0.765)	Data 0.001 (0.003)	Loss 2.1583 (2.1831)	Prec@1 44.531 (44.966)	Prec@5 75.781 (75.465)
Epoch: [47][2940/14090]	Time 0.743 (0.765)	Data 0.001 (0.003)	Loss 2.1642 (2.1831)	Prec@1 42.969 (44.964)	Prec@5 73.438 (75.465)
Epoch: [47][2950/14090]	Time 0.756 (0.765)	Data 0.001 (0.003)	Loss 2.1001 (2.1829)	Prec@1 43.750 (44.965)	Prec@5 77.344 (75.472)
Epoch: [47][2960/14090]	Time 0.870 (0.765)	Data 0.001 (0.003)	Loss 2.1887 (2.1832)	Prec@1 42.188 (44.959)	Prec@5 78.125 (75.468)
Epoch: [47][2970/14090]	Time 0.746 (0.765)	Data 0.001 (0.003)	Loss 2.0347 (2.1832)	Prec@1 49.219 (44.965)	Prec@5 78.125 (75.464)
Epoch: [47][2980/14090]	Time 0.740 (0.765)	Data 0.001 (0.003)	Loss 2.0572 (2.1831)	Prec@1 53.125 (44.968)	Prec@5 76.562 (75.464)
Epoch: [47][2990/14090]	Time 0.746 (0.765)	Data 0.001 (0.003)	Loss 2.2238 (2.1831)	Prec@1 43.750 (44.970)	Prec@5 80.469 (75.465)
Epoch: [47][3000/14090]	Time 0.776 (0.765)	Data 0.001 (0.003)	Loss 2.0744 (2.1828)	Prec@1 46.875 (44.977)	Prec@5 78.906 (75.475)
Epoch: [47][3010/14090]	Time 0.750 (0.765)	Data 0.001 (0.003)	Loss 2.1442 (2.1830)	Prec@1 45.312 (44.973)	Prec@5 75.781 (75.475)
Epoch: [47][3020/14090]	Time 0.750 (0.765)	Data 0.001 (0.003)	Loss 2.2786 (2.1831)	Prec@1 42.188 (44.975)	Prec@5 73.438 (75.475)
Epoch: [47][3030/14090]	Time 0.875 (0.765)	Data 0.001 (0.003)	Loss 2.4208 (2.1830)	Prec@1 35.938 (44.974)	Prec@5 75.000 (75.477)
Epoch: [47][3040/14090]	Time 0.736 (0.765)	Data 0.001 (0.003)	Loss 2.2819 (2.1832)	Prec@1 42.969 (44.972)	Prec@5 70.312 (75.472)
Epoch: [47][3050/14090]	Time 0.736 (0.765)	Data 0.001 (0.003)	Loss 2.1566 (2.1832)	Prec@1 43.750 (44.969)	Prec@5 75.000 (75.472)
Epoch: [47][3060/14090]	Time 0.742 (0.765)	Data 0.001 (0.003)	Loss 2.1681 (2.1834)	Prec@1 43.750 (44.962)	Prec@5 79.688 (75.470)
Epoch: [47][3070/14090]	Time 0.744 (0.765)	Data 0.001 (0.003)	Loss 2.4005 (2.1833)	Prec@1 36.719 (44.958)	Prec@5 78.125 (75.475)
Epoch: [47][3080/14090]	Time 0.738 (0.765)	Data 0.001 (0.003)	Loss 2.2757 (2.1831)	Prec@1 39.844 (44.961)	Prec@5 75.000 (75.478)
Epoch: [47][3090/14090]	Time 0.786 (0.765)	Data 0.001 (0.003)	Loss 2.0009 (2.1832)	Prec@1 47.656 (44.961)	Prec@5 82.812 (75.477)
Epoch: [47][3100/14090]	Time 0.864 (0.765)	Data 0.001 (0.003)	Loss 2.2307 (2.1833)	Prec@1 42.188 (44.963)	Prec@5 79.688 (75.482)
Epoch: [47][3110/14090]	Time 0.737 (0.765)	Data 0.001 (0.003)	Loss 2.0343 (2.1832)	Prec@1 49.219 (44.965)	Prec@5 82.031 (75.485)
Epoch: [47][3120/14090]	Time 0.723 (0.765)	Data 0.001 (0.003)	Loss 2.7223 (2.1832)	Prec@1 33.594 (44.967)	Prec@5 62.500 (75.481)
Epoch: [47][3130/14090]	Time 0.731 (0.765)	Data 0.001 (0.003)	Loss 2.0439 (2.1832)	Prec@1 47.656 (44.967)	Prec@5 79.688 (75.477)
Epoch: [47][3140/14090]	Time 0.759 (0.765)	Data 0.001 (0.003)	Loss 2.5429 (2.1837)	Prec@1 34.375 (44.955)	Prec@5 64.062 (75.463)
Epoch: [47][3150/14090]	Time 0.738 (0.765)	Data 0.001 (0.003)	Loss 2.1910 (2.1837)	Prec@1 45.312 (44.958)	Prec@5 78.125 (75.466)
Epoch: [47][3160/14090]	Time 0.757 (0.765)	Data 0.001 (0.003)	Loss 2.2764 (2.1833)	Prec@1 45.312 (44.961)	Prec@5 74.219 (75.473)
Epoch: [47][3170/14090]	Time 0.862 (0.765)	Data 0.001 (0.003)	Loss 2.0831 (2.1833)	Prec@1 52.344 (44.960)	Prec@5 82.031 (75.474)
Epoch: [47][3180/14090]	Time 0.724 (0.765)	Data 0.001 (0.003)	Loss 2.1508 (2.1833)	Prec@1 44.531 (44.955)	Prec@5 76.562 (75.475)
Epoch: [47][3190/14090]	Time 0.724 (0.765)	Data 0.001 (0.003)	Loss 2.1443 (2.1835)	Prec@1 44.531 (44.949)	Prec@5 75.781 (75.473)
Epoch: [47][3200/14090]	Time 0.732 (0.765)	Data 0.001 (0.003)	Loss 2.1759 (2.1836)	Prec@1 46.094 (44.946)	Prec@5 78.125 (75.474)
Epoch: [47][3210/14090]	Time 0.749 (0.765)	Data 0.001 (0.003)	Loss 1.8003 (2.1834)	Prec@1 51.562 (44.947)	Prec@5 81.250 (75.477)
Epoch: [47][3220/14090]	Time 0.757 (0.765)	Data 0.001 (0.003)	Loss 2.2945 (2.1835)	Prec@1 43.750 (44.947)	Prec@5 71.094 (75.473)
Epoch: [47][3230/14090]	Time 0.751 (0.765)	Data 0.001 (0.002)	Loss 2.1405 (2.1835)	Prec@1 48.438 (44.946)	Prec@5 79.688 (75.476)
Epoch: [47][3240/14090]	Time 0.854 (0.765)	Data 0.001 (0.002)	Loss 2.2172 (2.1835)	Prec@1 40.625 (44.947)	Prec@5 74.219 (75.473)
Epoch: [47][3250/14090]	Time 0.729 (0.765)	Data 0.001 (0.002)	Loss 2.5369 (2.1837)	Prec@1 39.844 (44.951)	Prec@5 70.312 (75.470)
Epoch: [47][3260/14090]	Time 0.751 (0.765)	Data 0.001 (0.002)	Loss 2.1987 (2.1834)	Prec@1 44.531 (44.955)	Prec@5 75.000 (75.475)
Epoch: [47][3270/14090]	Time 0.753 (0.765)	Data 0.001 (0.002)	Loss 2.2197 (2.1835)	Prec@1 50.000 (44.954)	Prec@5 72.656 (75.475)
Epoch: [47][3280/14090]	Time 0.745 (0.765)	Data 0.001 (0.002)	Loss 2.3195 (2.1837)	Prec@1 39.844 (44.947)	Prec@5 75.000 (75.471)
Epoch: [47][3290/14090]	Time 0.729 (0.765)	Data 0.001 (0.002)	Loss 2.0007 (2.1836)	Prec@1 51.562 (44.951)	Prec@5 78.906 (75.473)
Epoch: [47][3300/14090]	Time 0.728 (0.765)	Data 0.001 (0.002)	Loss 2.1385 (2.1839)	Prec@1 50.000 (44.952)	Prec@5 75.781 (75.469)
Epoch: [47][3310/14090]	Time 0.840 (0.765)	Data 0.001 (0.002)	Loss 1.9307 (2.1838)	Prec@1 50.000 (44.953)	Prec@5 82.812 (75.476)
Epoch: [47][3320/14090]	Time 0.736 (0.765)	Data 0.001 (0.002)	Loss 2.2396 (2.1839)	Prec@1 41.406 (44.953)	Prec@5 72.656 (75.476)
Epoch: [47][3330/14090]	Time 0.723 (0.765)	Data 0.001 (0.002)	Loss 2.1363 (2.1839)	Prec@1 43.750 (44.952)	Prec@5 77.344 (75.477)
Epoch: [47][3340/14090]	Time 0.732 (0.765)	Data 0.001 (0.002)	Loss 2.0842 (2.1839)	Prec@1 52.344 (44.953)	Prec@5 78.906 (75.476)
Epoch: [47][3350/14090]	Time 0.739 (0.765)	Data 0.001 (0.002)	Loss 2.2070 (2.1838)	Prec@1 46.094 (44.954)	Prec@5 76.562 (75.477)
Epoch: [47][3360/14090]	Time 0.765 (0.765)	Data 0.001 (0.002)	Loss 2.3353 (2.1837)	Prec@1 39.844 (44.951)	Prec@5 73.438 (75.478)
Epoch: [47][3370/14090]	Time 0.729 (0.765)	Data 0.001 (0.002)	Loss 2.0420 (2.1838)	Prec@1 46.875 (44.951)	Prec@5 77.344 (75.476)
Epoch: [47][3380/14090]	Time 0.870 (0.765)	Data 0.001 (0.002)	Loss 2.3403 (2.1838)	Prec@1 41.406 (44.952)	Prec@5 75.781 (75.479)
Epoch: [47][3390/14090]	Time 0.750 (0.765)	Data 0.001 (0.002)	Loss 2.2572 (2.1838)	Prec@1 42.188 (44.953)	Prec@5 74.219 (75.479)
Epoch: [47][3400/14090]	Time 0.735 (0.765)	Data 0.001 (0.002)	Loss 2.0949 (2.1838)	Prec@1 46.094 (44.953)	Prec@5 78.125 (75.482)
Epoch: [47][3410/14090]	Time 0.727 (0.765)	Data 0.001 (0.002)	Loss 2.4068 (2.1839)	Prec@1 37.500 (44.950)	Prec@5 71.094 (75.477)
Epoch: [47][3420/14090]	Time 0.722 (0.765)	Data 0.001 (0.002)	Loss 1.9328 (2.1840)	Prec@1 52.344 (44.946)	Prec@5 79.688 (75.479)
Epoch: [47][3430/14090]	Time 0.724 (0.765)	Data 0.001 (0.002)	Loss 2.0139 (2.1839)	Prec@1 48.438 (44.947)	Prec@5 78.125 (75.482)
Epoch: [47][3440/14090]	Time 0.737 (0.765)	Data 0.001 (0.002)	Loss 2.1171 (2.1837)	Prec@1 46.094 (44.950)	Prec@5 74.219 (75.481)
Epoch: [47][3450/14090]	Time 0.865 (0.765)	Data 0.001 (0.002)	Loss 2.2224 (2.1837)	Prec@1 42.969 (44.954)	Prec@5 74.219 (75.482)
Epoch: [47][3460/14090]	Time 0.752 (0.765)	Data 0.001 (0.002)	Loss 2.2116 (2.1840)	Prec@1 45.312 (44.949)	Prec@5 76.562 (75.476)
Epoch: [47][3470/14090]	Time 0.725 (0.765)	Data 0.001 (0.002)	Loss 2.1543 (2.1840)	Prec@1 44.531 (44.952)	Prec@5 77.344 (75.477)
Epoch: [47][3480/14090]	Time 0.728 (0.765)	Data 0.001 (0.002)	Loss 2.0760 (2.1840)	Prec@1 50.781 (44.959)	Prec@5 76.562 (75.481)
Epoch: [47][3490/14090]	Time 0.724 (0.765)	Data 0.001 (0.002)	Loss 1.9412 (2.1840)	Prec@1 48.438 (44.952)	Prec@5 78.906 (75.482)
Epoch: [47][3500/14090]	Time 0.762 (0.765)	Data 0.001 (0.002)	Loss 2.3174 (2.1841)	Prec@1 46.094 (44.949)	Prec@5 69.531 (75.479)
Epoch: [47][3510/14090]	Time 0.787 (0.765)	Data 0.001 (0.002)	Loss 2.2630 (2.1841)	Prec@1 35.938 (44.953)	Prec@5 75.000 (75.473)
Epoch: [47][3520/14090]	Time 0.863 (0.765)	Data 0.001 (0.002)	Loss 2.1620 (2.1839)	Prec@1 42.188 (44.955)	Prec@5 75.000 (75.476)
Epoch: [47][3530/14090]	Time 0.724 (0.765)	Data 0.001 (0.002)	Loss 2.1641 (2.1841)	Prec@1 42.969 (44.952)	Prec@5 74.219 (75.475)
Epoch: [47][3540/14090]	Time 0.719 (0.764)	Data 0.001 (0.002)	Loss 2.0354 (2.1843)	Prec@1 51.562 (44.954)	Prec@5 79.688 (75.475)
Epoch: [47][3550/14090]	Time 0.762 (0.764)	Data 0.001 (0.002)	Loss 1.9558 (2.1841)	Prec@1 46.094 (44.955)	Prec@5 79.688 (75.476)
Epoch: [47][3560/14090]	Time 0.731 (0.764)	Data 0.001 (0.002)	Loss 2.0983 (2.1841)	Prec@1 52.344 (44.958)	Prec@5 74.219 (75.475)
Epoch: [47][3570/14090]	Time 0.753 (0.764)	Data 0.001 (0.002)	Loss 2.2365 (2.1842)	Prec@1 40.625 (44.957)	Prec@5 75.781 (75.473)
Epoch: [47][3580/14090]	Time 0.751 (0.764)	Data 0.001 (0.002)	Loss 2.1422 (2.1842)	Prec@1 42.188 (44.952)	Prec@5 74.219 (75.472)
Epoch: [47][3590/14090]	Time 0.853 (0.764)	Data 0.001 (0.002)	Loss 2.1230 (2.1841)	Prec@1 47.656 (44.957)	Prec@5 77.344 (75.476)
Epoch: [47][3600/14090]	Time 0.754 (0.764)	Data 0.001 (0.002)	Loss 2.3615 (2.1839)	Prec@1 35.938 (44.957)	Prec@5 71.094 (75.479)
Epoch: [47][3610/14090]	Time 0.764 (0.764)	Data 0.001 (0.002)	Loss 2.1775 (2.1839)	Prec@1 52.344 (44.957)	Prec@5 72.656 (75.479)
Epoch: [47][3620/14090]	Time 0.745 (0.764)	Data 0.001 (0.002)	Loss 2.2203 (2.1842)	Prec@1 43.750 (44.953)	Prec@5 74.219 (75.476)
Epoch: [47][3630/14090]	Time 0.725 (0.764)	Data 0.001 (0.002)	Loss 2.0034 (2.1839)	Prec@1 48.438 (44.961)	Prec@5 76.562 (75.478)
Epoch: [47][3640/14090]	Time 0.737 (0.764)	Data 0.001 (0.002)	Loss 2.2037 (2.1840)	Prec@1 46.875 (44.960)	Prec@5 75.781 (75.476)
Epoch: [47][3650/14090]	Time 0.757 (0.764)	Data 0.001 (0.002)	Loss 2.5622 (2.1840)	Prec@1 36.719 (44.959)	Prec@5 65.625 (75.477)
Epoch: [47][3660/14090]	Time 0.885 (0.764)	Data 0.001 (0.002)	Loss 2.1883 (2.1842)	Prec@1 46.094 (44.958)	Prec@5 74.219 (75.473)
Epoch: [47][3670/14090]	Time 0.743 (0.764)	Data 0.001 (0.002)	Loss 2.3463 (2.1843)	Prec@1 37.500 (44.953)	Prec@5 74.219 (75.475)
Epoch: [47][3680/14090]	Time 0.736 (0.764)	Data 0.001 (0.002)	Loss 2.1547 (2.1841)	Prec@1 42.188 (44.954)	Prec@5 76.562 (75.480)
Epoch: [47][3690/14090]	Time 0.731 (0.764)	Data 0.001 (0.002)	Loss 1.8494 (2.1843)	Prec@1 56.250 (44.952)	Prec@5 79.688 (75.476)
Epoch: [47][3700/14090]	Time 0.736 (0.764)	Data 0.001 (0.002)	Loss 2.1391 (2.1842)	Prec@1 44.531 (44.951)	Prec@5 78.906 (75.474)
Epoch: [47][3710/14090]	Time 0.758 (0.764)	Data 0.001 (0.002)	Loss 2.2083 (2.1841)	Prec@1 50.781 (44.954)	Prec@5 74.219 (75.475)
Epoch: [47][3720/14090]	Time 0.730 (0.764)	Data 0.001 (0.002)	Loss 2.0547 (2.1841)	Prec@1 45.312 (44.955)	Prec@5 76.562 (75.475)
Epoch: [47][3730/14090]	Time 0.849 (0.764)	Data 0.001 (0.002)	Loss 1.9362 (2.1842)	Prec@1 47.656 (44.952)	Prec@5 78.125 (75.472)
Epoch: [47][3740/14090]	Time 0.743 (0.764)	Data 0.001 (0.002)	Loss 1.9694 (2.1843)	Prec@1 52.344 (44.953)	Prec@5 76.562 (75.468)
Epoch: [47][3750/14090]	Time 0.745 (0.764)	Data 0.001 (0.002)	Loss 2.3019 (2.1843)	Prec@1 43.750 (44.953)	Prec@5 75.781 (75.472)
Epoch: [47][3760/14090]	Time 0.730 (0.764)	Data 0.001 (0.002)	Loss 2.2782 (2.1842)	Prec@1 42.188 (44.956)	Prec@5 71.094 (75.472)
Epoch: [47][3770/14090]	Time 0.727 (0.764)	Data 0.001 (0.002)	Loss 2.3360 (2.1843)	Prec@1 40.625 (44.949)	Prec@5 70.312 (75.469)
Epoch: [47][3780/14090]	Time 0.756 (0.764)	Data 0.001 (0.002)	Loss 2.2402 (2.1844)	Prec@1 48.438 (44.947)	Prec@5 74.219 (75.465)
Epoch: [47][3790/14090]	Time 0.753 (0.764)	Data 0.001 (0.002)	Loss 2.1583 (2.1844)	Prec@1 45.312 (44.945)	Prec@5 75.781 (75.465)
Epoch: [47][3800/14090]	Time 0.898 (0.764)	Data 0.001 (0.002)	Loss 2.5845 (2.1845)	Prec@1 38.281 (44.944)	Prec@5 71.094 (75.465)
Epoch: [47][3810/14090]	Time 0.751 (0.764)	Data 0.001 (0.002)	Loss 2.0312 (2.1846)	Prec@1 46.875 (44.941)	Prec@5 75.781 (75.462)
Epoch: [47][3820/14090]	Time 0.748 (0.764)	Data 0.001 (0.002)	Loss 2.1302 (2.1845)	Prec@1 50.000 (44.941)	Prec@5 79.688 (75.464)
Epoch: [47][3830/14090]	Time 0.755 (0.764)	Data 0.001 (0.002)	Loss 2.4090 (2.1845)	Prec@1 42.188 (44.939)	Prec@5 67.969 (75.462)
Epoch: [47][3840/14090]	Time 0.740 (0.764)	Data 0.001 (0.002)	Loss 1.8892 (2.1842)	Prec@1 53.906 (44.946)	Prec@5 80.469 (75.466)
Epoch: [47][3850/14090]	Time 0.733 (0.764)	Data 0.001 (0.002)	Loss 2.3202 (2.1841)	Prec@1 46.875 (44.944)	Prec@5 73.438 (75.469)
Epoch: [47][3860/14090]	Time 0.745 (0.764)	Data 0.001 (0.002)	Loss 2.6525 (2.1840)	Prec@1 32.812 (44.946)	Prec@5 67.188 (75.468)
Epoch: [47][3870/14090]	Time 0.852 (0.764)	Data 0.001 (0.002)	Loss 2.2865 (2.1843)	Prec@1 46.094 (44.941)	Prec@5 77.344 (75.468)
Epoch: [47][3880/14090]	Time 0.726 (0.764)	Data 0.001 (0.002)	Loss 2.3173 (2.1843)	Prec@1 42.188 (44.940)	Prec@5 75.000 (75.468)
Epoch: [47][3890/14090]	Time 0.728 (0.764)	Data 0.001 (0.002)	Loss 2.1302 (2.1843)	Prec@1 49.219 (44.938)	Prec@5 75.000 (75.467)
Epoch: [47][3900/14090]	Time 0.738 (0.764)	Data 0.001 (0.002)	Loss 2.3887 (2.1845)	Prec@1 43.750 (44.933)	Prec@5 71.094 (75.465)
Epoch: [47][3910/14090]	Time 0.733 (0.764)	Data 0.001 (0.002)	Loss 2.2382 (2.1845)	Prec@1 46.875 (44.934)	Prec@5 72.656 (75.465)
Epoch: [47][3920/14090]	Time 0.739 (0.764)	Data 0.001 (0.002)	Loss 1.8482 (2.1844)	Prec@1 49.219 (44.936)	Prec@5 83.594 (75.466)
Epoch: [47][3930/14090]	Time 0.758 (0.764)	Data 0.001 (0.002)	Loss 2.1895 (2.1844)	Prec@1 48.438 (44.937)	Prec@5 74.219 (75.463)
Epoch: [47][3940/14090]	Time 0.877 (0.764)	Data 0.001 (0.002)	Loss 2.0930 (2.1844)	Prec@1 41.406 (44.934)	Prec@5 82.812 (75.464)
Epoch: [47][3950/14090]	Time 0.741 (0.764)	Data 0.001 (0.002)	Loss 2.1020 (2.1846)	Prec@1 45.312 (44.928)	Prec@5 78.125 (75.461)
Epoch: [47][3960/14090]	Time 0.754 (0.764)	Data 0.001 (0.002)	Loss 2.4626 (2.1847)	Prec@1 40.625 (44.927)	Prec@5 74.219 (75.463)
Epoch: [47][3970/14090]	Time 0.722 (0.764)	Data 0.001 (0.002)	Loss 2.3824 (2.1848)	Prec@1 44.531 (44.925)	Prec@5 73.438 (75.458)
Epoch: [47][3980/14090]	Time 0.745 (0.764)	Data 0.001 (0.002)	Loss 2.0238 (2.1849)	Prec@1 52.344 (44.926)	Prec@5 80.469 (75.458)
Epoch: [47][3990/14090]	Time 0.724 (0.764)	Data 0.001 (0.002)	Loss 2.0646 (2.1846)	Prec@1 43.750 (44.932)	Prec@5 74.219 (75.462)
Epoch: [47][4000/14090]	Time 0.741 (0.764)	Data 0.001 (0.002)	Loss 2.1800 (2.1846)	Prec@1 45.312 (44.934)	Prec@5 72.656 (75.461)
Epoch: [47][4010/14090]	Time 0.909 (0.764)	Data 0.001 (0.002)	Loss 1.9826 (2.1845)	Prec@1 50.000 (44.937)	Prec@5 82.031 (75.465)
Epoch: [47][4020/14090]	Time 0.747 (0.764)	Data 0.001 (0.002)	Loss 2.0611 (2.1845)	Prec@1 49.219 (44.940)	Prec@5 76.562 (75.464)
Epoch: [47][4030/14090]	Time 0.734 (0.764)	Data 0.001 (0.002)	Loss 2.1838 (2.1845)	Prec@1 41.406 (44.942)	Prec@5 72.656 (75.460)
Epoch: [47][4040/14090]	Time 0.743 (0.764)	Data 0.001 (0.002)	Loss 2.2382 (2.1845)	Prec@1 43.750 (44.942)	Prec@5 72.656 (75.461)
Epoch: [47][4050/14090]	Time 0.744 (0.764)	Data 0.001 (0.002)	Loss 2.1529 (2.1845)	Prec@1 47.656 (44.940)	Prec@5 79.688 (75.459)
Epoch: [47][4060/14090]	Time 0.755 (0.764)	Data 0.001 (0.002)	Loss 1.8753 (2.1846)	Prec@1 49.219 (44.937)	Prec@5 78.125 (75.457)
Epoch: [47][4070/14090]	Time 0.750 (0.764)	Data 0.001 (0.002)	Loss 2.3889 (2.1845)	Prec@1 44.531 (44.935)	Prec@5 74.219 (75.462)
Epoch: [47][4080/14090]	Time 0.842 (0.764)	Data 0.001 (0.002)	Loss 2.1627 (2.1845)	Prec@1 41.406 (44.933)	Prec@5 75.000 (75.460)
Epoch: [47][4090/14090]	Time 0.725 (0.764)	Data 0.001 (0.002)	Loss 2.2139 (2.1845)	Prec@1 46.094 (44.936)	Prec@5 74.219 (75.462)
Epoch: [47][4100/14090]	Time 0.725 (0.764)	Data 0.001 (0.002)	Loss 2.2494 (2.1846)	Prec@1 35.938 (44.931)	Prec@5 73.438 (75.460)
Epoch: [47][4110/14090]	Time 0.736 (0.764)	Data 0.001 (0.002)	Loss 1.9425 (2.1846)	Prec@1 50.000 (44.933)	Prec@5 77.344 (75.459)
Epoch: [47][4120/14090]	Time 0.735 (0.764)	Data 0.001 (0.002)	Loss 2.2223 (2.1845)	Prec@1 42.188 (44.936)	Prec@5 76.562 (75.464)
Epoch: [47][4130/14090]	Time 0.756 (0.764)	Data 0.001 (0.002)	Loss 2.0284 (2.1845)	Prec@1 44.531 (44.933)	Prec@5 79.688 (75.467)
Epoch: [47][4140/14090]	Time 0.769 (0.764)	Data 0.001 (0.002)	Loss 2.1602 (2.1843)	Prec@1 44.531 (44.935)	Prec@5 72.656 (75.470)
Epoch: [47][4150/14090]	Time 0.862 (0.764)	Data 0.001 (0.002)	Loss 2.0896 (2.1842)	Prec@1 45.312 (44.937)	Prec@5 75.000 (75.471)
Epoch: [47][4160/14090]	Time 0.723 (0.764)	Data 0.001 (0.002)	Loss 2.0095 (2.1842)	Prec@1 49.219 (44.939)	Prec@5 84.375 (75.471)
Epoch: [47][4170/14090]	Time 0.734 (0.764)	Data 0.001 (0.002)	Loss 2.0735 (2.1841)	Prec@1 48.438 (44.939)	Prec@5 81.250 (75.476)
Epoch: [47][4180/14090]	Time 0.761 (0.764)	Data 0.001 (0.002)	Loss 2.1006 (2.1842)	Prec@1 46.094 (44.935)	Prec@5 79.688 (75.472)
Epoch: [47][4190/14090]	Time 0.749 (0.764)	Data 0.001 (0.002)	Loss 2.2147 (2.1840)	Prec@1 48.438 (44.941)	Prec@5 73.438 (75.474)
Epoch: [47][4200/14090]	Time 0.753 (0.764)	Data 0.001 (0.002)	Loss 2.1779 (2.1840)	Prec@1 45.312 (44.941)	Prec@5 77.344 (75.478)
Epoch: [47][4210/14090]	Time 0.756 (0.764)	Data 0.001 (0.002)	Loss 2.1164 (2.1840)	Prec@1 45.312 (44.939)	Prec@5 76.562 (75.481)
Epoch: [47][4220/14090]	Time 0.881 (0.764)	Data 0.001 (0.002)	Loss 2.4007 (2.1841)	Prec@1 43.750 (44.940)	Prec@5 71.094 (75.481)
Epoch: [47][4230/14090]	Time 0.733 (0.764)	Data 0.001 (0.002)	Loss 2.3973 (2.1841)	Prec@1 42.969 (44.937)	Prec@5 71.094 (75.485)
Epoch: [47][4240/14090]	Time 0.723 (0.764)	Data 0.001 (0.002)	Loss 2.1823 (2.1841)	Prec@1 47.656 (44.941)	Prec@5 77.344 (75.485)
Epoch: [47][4250/14090]	Time 0.780 (0.764)	Data 0.001 (0.002)	Loss 1.9907 (2.1839)	Prec@1 45.312 (44.940)	Prec@5 80.469 (75.488)
Epoch: [47][4260/14090]	Time 0.719 (0.764)	Data 0.001 (0.002)	Loss 2.5358 (2.1840)	Prec@1 37.500 (44.938)	Prec@5 72.656 (75.486)
Epoch: [47][4270/14090]	Time 0.728 (0.764)	Data 0.001 (0.002)	Loss 2.0849 (2.1842)	Prec@1 40.625 (44.933)	Prec@5 75.781 (75.481)
Epoch: [47][4280/14090]	Time 0.752 (0.764)	Data 0.001 (0.002)	Loss 1.9182 (2.1842)	Prec@1 47.656 (44.932)	Prec@5 82.812 (75.480)
Epoch: [47][4290/14090]	Time 0.877 (0.764)	Data 0.001 (0.002)	Loss 2.5051 (2.1844)	Prec@1 37.500 (44.927)	Prec@5 71.094 (75.476)
Epoch: [47][4300/14090]	Time 0.743 (0.764)	Data 0.001 (0.002)	Loss 2.2788 (2.1843)	Prec@1 44.531 (44.935)	Prec@5 71.094 (75.478)
Epoch: [47][4310/14090]	Time 0.747 (0.764)	Data 0.001 (0.002)	Loss 2.2031 (2.1844)	Prec@1 48.438 (44.934)	Prec@5 72.656 (75.474)
Epoch: [47][4320/14090]	Time 0.730 (0.764)	Data 0.001 (0.002)	Loss 2.2601 (2.1845)	Prec@1 35.156 (44.931)	Prec@5 75.781 (75.470)
Epoch: [47][4330/14090]	Time 0.781 (0.764)	Data 0.001 (0.002)	Loss 2.0773 (2.1845)	Prec@1 48.438 (44.930)	Prec@5 78.906 (75.469)
Epoch: [47][4340/14090]	Time 0.740 (0.764)	Data 0.001 (0.002)	Loss 2.1270 (2.1844)	Prec@1 42.969 (44.931)	Prec@5 78.125 (75.472)
Epoch: [47][4350/14090]	Time 0.720 (0.764)	Data 0.001 (0.002)	Loss 2.4236 (2.1844)	Prec@1 40.625 (44.930)	Prec@5 67.969 (75.467)
Epoch: [47][4360/14090]	Time 0.875 (0.764)	Data 0.001 (0.002)	Loss 2.0082 (2.1844)	Prec@1 48.438 (44.929)	Prec@5 78.125 (75.469)
Epoch: [47][4370/14090]	Time 0.752 (0.764)	Data 0.001 (0.002)	Loss 2.3588 (2.1843)	Prec@1 42.188 (44.927)	Prec@5 69.531 (75.473)
Epoch: [47][4380/14090]	Time 0.759 (0.764)	Data 0.001 (0.002)	Loss 2.1803 (2.1842)	Prec@1 40.625 (44.926)	Prec@5 73.438 (75.475)
Epoch: [47][4390/14090]	Time 0.736 (0.764)	Data 0.001 (0.002)	Loss 2.2312 (2.1842)	Prec@1 46.094 (44.927)	Prec@5 75.781 (75.475)
Epoch: [47][4400/14090]	Time 0.734 (0.764)	Data 0.001 (0.002)	Loss 2.2964 (2.1843)	Prec@1 42.969 (44.925)	Prec@5 74.219 (75.474)
Epoch: [47][4410/14090]	Time 0.752 (0.764)	Data 0.001 (0.002)	Loss 2.3050 (2.1844)	Prec@1 42.188 (44.921)	Prec@5 73.438 (75.473)
Epoch: [47][4420/14090]	Time 0.773 (0.764)	Data 0.001 (0.002)	Loss 2.2307 (2.1844)	Prec@1 44.531 (44.919)	Prec@5 74.219 (75.476)
Epoch: [47][4430/14090]	Time 0.887 (0.764)	Data 0.001 (0.002)	Loss 2.1778 (2.1843)	Prec@1 42.188 (44.919)	Prec@5 72.656 (75.478)
Epoch: [47][4440/14090]	Time 0.730 (0.764)	Data 0.001 (0.002)	Loss 2.2999 (2.1844)	Prec@1 44.531 (44.920)	Prec@5 71.875 (75.478)
Epoch: [47][4450/14090]	Time 0.742 (0.764)	Data 0.001 (0.002)	Loss 2.3185 (2.1844)	Prec@1 43.750 (44.925)	Prec@5 73.438 (75.479)
Epoch: [47][4460/14090]	Time 0.754 (0.764)	Data 0.001 (0.002)	Loss 2.1387 (2.1846)	Prec@1 45.312 (44.922)	Prec@5 74.219 (75.475)
Epoch: [47][4470/14090]	Time 0.770 (0.764)	Data 0.002 (0.002)	Loss 2.1293 (2.1844)	Prec@1 46.094 (44.927)	Prec@5 75.000 (75.477)
Epoch: [47][4480/14090]	Time 0.747 (0.764)	Data 0.001 (0.002)	Loss 2.3695 (2.1844)	Prec@1 45.312 (44.927)	Prec@5 70.312 (75.480)
Epoch: [47][4490/14090]	Time 0.751 (0.764)	Data 0.001 (0.002)	Loss 2.2143 (2.1844)	Prec@1 46.094 (44.923)	Prec@5 75.000 (75.481)
Epoch: [47][4500/14090]	Time 0.881 (0.764)	Data 0.001 (0.002)	Loss 2.0921 (2.1844)	Prec@1 48.438 (44.926)	Prec@5 78.125 (75.479)
Epoch: [47][4510/14090]	Time 0.753 (0.764)	Data 0.001 (0.002)	Loss 2.2370 (2.1844)	Prec@1 43.750 (44.928)	Prec@5 71.094 (75.479)
Epoch: [47][4520/14090]	Time 0.746 (0.764)	Data 0.001 (0.002)	Loss 2.0576 (2.1843)	Prec@1 47.656 (44.930)	Prec@5 77.344 (75.479)
Epoch: [47][4530/14090]	Time 0.731 (0.764)	Data 0.001 (0.002)	Loss 2.6101 (2.1845)	Prec@1 37.500 (44.919)	Prec@5 64.844 (75.477)
Epoch: [47][4540/14090]	Time 0.726 (0.764)	Data 0.001 (0.002)	Loss 2.1088 (2.1847)	Prec@1 46.875 (44.916)	Prec@5 72.656 (75.475)
Epoch: [47][4550/14090]	Time 0.724 (0.764)	Data 0.001 (0.002)	Loss 2.1133 (2.1845)	Prec@1 43.750 (44.921)	Prec@5 74.219 (75.477)
Epoch: [47][4560/14090]	Time 0.737 (0.764)	Data 0.001 (0.002)	Loss 2.3034 (2.1843)	Prec@1 43.750 (44.922)	Prec@5 74.219 (75.481)
Epoch: [47][4570/14090]	Time 0.883 (0.764)	Data 0.001 (0.002)	Loss 2.2258 (2.1842)	Prec@1 48.438 (44.925)	Prec@5 72.656 (75.483)
Epoch: [47][4580/14090]	Time 0.771 (0.764)	Data 0.001 (0.002)	Loss 1.9404 (2.1842)	Prec@1 47.656 (44.927)	Prec@5 82.031 (75.481)
Epoch: [47][4590/14090]	Time 0.740 (0.764)	Data 0.001 (0.002)	Loss 2.3664 (2.1841)	Prec@1 42.188 (44.931)	Prec@5 73.438 (75.482)
Epoch: [47][4600/14090]	Time 0.735 (0.764)	Data 0.001 (0.002)	Loss 2.1551 (2.1841)	Prec@1 46.875 (44.934)	Prec@5 77.344 (75.483)
Epoch: [47][4610/14090]	Time 0.728 (0.764)	Data 0.001 (0.002)	Loss 2.3692 (2.1840)	Prec@1 44.531 (44.939)	Prec@5 67.188 (75.484)
Epoch: [47][4620/14090]	Time 0.759 (0.764)	Data 0.001 (0.002)	Loss 2.4176 (2.1840)	Prec@1 38.281 (44.940)	Prec@5 67.969 (75.484)
Epoch: [47][4630/14090]	Time 0.755 (0.764)	Data 0.001 (0.002)	Loss 2.1949 (2.1841)	Prec@1 42.969 (44.940)	Prec@5 71.094 (75.481)
Epoch: [47][4640/14090]	Time 0.868 (0.764)	Data 0.001 (0.002)	Loss 2.1503 (2.1841)	Prec@1 45.312 (44.940)	Prec@5 76.562 (75.482)
Epoch: [47][4650/14090]	Time 0.735 (0.764)	Data 0.001 (0.002)	Loss 2.2146 (2.1842)	Prec@1 47.656 (44.936)	Prec@5 77.344 (75.480)
Epoch: [47][4660/14090]	Time 0.742 (0.764)	Data 0.001 (0.002)	Loss 2.4646 (2.1843)	Prec@1 34.375 (44.934)	Prec@5 70.312 (75.479)
Epoch: [47][4670/14090]	Time 0.744 (0.764)	Data 0.001 (0.002)	Loss 2.0209 (2.1842)	Prec@1 42.188 (44.937)	Prec@5 78.906 (75.479)
Epoch: [47][4680/14090]	Time 0.740 (0.764)	Data 0.001 (0.002)	Loss 2.3565 (2.1842)	Prec@1 41.406 (44.942)	Prec@5 70.312 (75.481)
Epoch: [47][4690/14090]	Time 0.739 (0.764)	Data 0.001 (0.002)	Loss 2.3955 (2.1843)	Prec@1 39.844 (44.938)	Prec@5 68.750 (75.479)
Epoch: [47][4700/14090]	Time 0.760 (0.764)	Data 0.001 (0.002)	Loss 2.4089 (2.1843)	Prec@1 42.969 (44.936)	Prec@5 70.312 (75.478)
Epoch: [47][4710/14090]	Time 0.898 (0.764)	Data 0.001 (0.002)	Loss 1.9374 (2.1842)	Prec@1 52.344 (44.938)	Prec@5 82.812 (75.480)
Epoch: [47][4720/14090]	Time 0.718 (0.764)	Data 0.001 (0.002)	Loss 2.2963 (2.1841)	Prec@1 40.625 (44.940)	Prec@5 71.875 (75.485)
Epoch: [47][4730/14090]	Time 0.738 (0.764)	Data 0.001 (0.002)	Loss 2.1211 (2.1840)	Prec@1 49.219 (44.942)	Prec@5 74.219 (75.488)
Epoch: [47][4740/14090]	Time 0.725 (0.764)	Data 0.001 (0.002)	Loss 2.3233 (2.1842)	Prec@1 44.531 (44.939)	Prec@5 77.344 (75.486)
Epoch: [47][4750/14090]	Time 0.729 (0.764)	Data 0.001 (0.002)	Loss 2.0742 (2.1843)	Prec@1 44.531 (44.934)	Prec@5 77.344 (75.485)
Epoch: [47][4760/14090]	Time 0.756 (0.764)	Data 0.001 (0.002)	Loss 2.2028 (2.1843)	Prec@1 37.500 (44.933)	Prec@5 75.000 (75.485)
Epoch: [47][4770/14090]	Time 0.733 (0.764)	Data 0.001 (0.002)	Loss 2.1417 (2.1844)	Prec@1 44.531 (44.932)	Prec@5 74.219 (75.483)
Epoch: [47][4780/14090]	Time 0.864 (0.764)	Data 0.001 (0.002)	Loss 2.0490 (2.1843)	Prec@1 46.875 (44.936)	Prec@5 75.781 (75.481)
Epoch: [47][4790/14090]	Time 0.727 (0.764)	Data 0.001 (0.002)	Loss 2.0658 (2.1842)	Prec@1 49.219 (44.941)	Prec@5 75.000 (75.481)
Epoch: [47][4800/14090]	Time 0.742 (0.764)	Data 0.001 (0.002)	Loss 2.4750 (2.1844)	Prec@1 39.844 (44.936)	Prec@5 64.062 (75.477)
Epoch: [47][4810/14090]	Time 0.725 (0.764)	Data 0.001 (0.002)	Loss 2.2787 (2.1844)	Prec@1 41.406 (44.937)	Prec@5 75.781 (75.478)
Epoch: [47][4820/14090]	Time 0.753 (0.764)	Data 0.001 (0.002)	Loss 1.8079 (2.1843)	Prec@1 50.781 (44.938)	Prec@5 85.156 (75.480)
Epoch: [47][4830/14090]	Time 0.734 (0.764)	Data 0.001 (0.002)	Loss 2.0399 (2.1843)	Prec@1 52.344 (44.940)	Prec@5 75.000 (75.479)
Epoch: [47][4840/14090]	Time 0.753 (0.764)	Data 0.001 (0.002)	Loss 2.1008 (2.1844)	Prec@1 48.438 (44.941)	Prec@5 78.906 (75.475)
Epoch: [47][4850/14090]	Time 0.828 (0.764)	Data 0.001 (0.002)	Loss 2.3979 (2.1846)	Prec@1 42.969 (44.940)	Prec@5 70.312 (75.471)
Epoch: [47][4860/14090]	Time 0.736 (0.764)	Data 0.001 (0.002)	Loss 2.1518 (2.1845)	Prec@1 43.750 (44.939)	Prec@5 75.000 (75.470)
Epoch: [47][4870/14090]	Time 0.743 (0.764)	Data 0.001 (0.002)	Loss 2.2831 (2.1846)	Prec@1 44.531 (44.938)	Prec@5 75.000 (75.467)
Epoch: [47][4880/14090]	Time 0.758 (0.764)	Data 0.001 (0.002)	Loss 2.0248 (2.1848)	Prec@1 51.562 (44.936)	Prec@5 82.812 (75.467)
Epoch: [47][4890/14090]	Time 0.739 (0.764)	Data 0.001 (0.002)	Loss 2.0619 (2.1849)	Prec@1 43.750 (44.933)	Prec@5 77.344 (75.467)
Epoch: [47][4900/14090]	Time 0.754 (0.764)	Data 0.001 (0.002)	Loss 2.1348 (2.1848)	Prec@1 46.875 (44.936)	Prec@5 77.344 (75.468)
Epoch: [47][4910/14090]	Time 0.747 (0.764)	Data 0.001 (0.002)	Loss 2.1998 (2.1849)	Prec@1 44.531 (44.936)	Prec@5 78.125 (75.465)
Epoch: [47][4920/14090]	Time 0.892 (0.764)	Data 0.001 (0.002)	Loss 2.2618 (2.1850)	Prec@1 40.625 (44.934)	Prec@5 70.312 (75.461)
Epoch: [47][4930/14090]	Time 0.757 (0.764)	Data 0.001 (0.002)	Loss 2.4401 (2.1850)	Prec@1 37.500 (44.936)	Prec@5 71.875 (75.462)
Epoch: [47][4940/14090]	Time 0.759 (0.764)	Data 0.001 (0.002)	Loss 2.2308 (2.1849)	Prec@1 48.438 (44.937)	Prec@5 70.312 (75.461)
Epoch: [47][4950/14090]	Time 0.723 (0.764)	Data 0.001 (0.002)	Loss 2.0273 (2.1849)	Prec@1 53.125 (44.939)	Prec@5 79.688 (75.460)
Epoch: [47][4960/14090]	Time 0.730 (0.764)	Data 0.001 (0.002)	Loss 2.0237 (2.1848)	Prec@1 48.438 (44.937)	Prec@5 78.906 (75.461)
Epoch: [47][4970/14090]	Time 0.748 (0.764)	Data 0.001 (0.002)	Loss 2.2181 (2.1850)	Prec@1 45.312 (44.938)	Prec@5 75.781 (75.457)
Epoch: [47][4980/14090]	Time 0.770 (0.764)	Data 0.001 (0.002)	Loss 2.0078 (2.1851)	Prec@1 43.750 (44.930)	Prec@5 77.344 (75.455)
Epoch: [47][4990/14090]	Time 0.870 (0.764)	Data 0.001 (0.002)	Loss 2.0993 (2.1850)	Prec@1 47.656 (44.931)	Prec@5 75.781 (75.457)
Epoch: [47][5000/14090]	Time 0.753 (0.764)	Data 0.001 (0.002)	Loss 2.2510 (2.1851)	Prec@1 37.500 (44.930)	Prec@5 76.562 (75.455)
Epoch: [47][5010/14090]	Time 0.740 (0.764)	Data 0.001 (0.002)	Loss 1.9993 (2.1851)	Prec@1 53.125 (44.931)	Prec@5 78.906 (75.454)
Epoch: [47][5020/14090]	Time 0.754 (0.764)	Data 0.001 (0.002)	Loss 2.2102 (2.1852)	Prec@1 38.281 (44.927)	Prec@5 75.781 (75.452)
Epoch: [47][5030/14090]	Time 0.758 (0.764)	Data 0.001 (0.002)	Loss 2.4537 (2.1852)	Prec@1 40.625 (44.923)	Prec@5 68.750 (75.451)
Epoch: [47][5040/14090]	Time 0.724 (0.764)	Data 0.001 (0.002)	Loss 2.1904 (2.1850)	Prec@1 44.531 (44.927)	Prec@5 75.781 (75.457)
Epoch: [47][5050/14090]	Time 0.759 (0.764)	Data 0.002 (0.002)	Loss 2.3422 (2.1851)	Prec@1 47.656 (44.930)	Prec@5 74.219 (75.455)
Epoch: [47][5060/14090]	Time 0.848 (0.764)	Data 0.001 (0.002)	Loss 2.2867 (2.1853)	Prec@1 36.719 (44.928)	Prec@5 75.000 (75.454)
Epoch: [47][5070/14090]	Time 0.753 (0.764)	Data 0.001 (0.002)	Loss 2.0305 (2.1853)	Prec@1 49.219 (44.927)	Prec@5 78.906 (75.456)
Epoch: [47][5080/14090]	Time 0.767 (0.764)	Data 0.001 (0.002)	Loss 2.2413 (2.1851)	Prec@1 39.844 (44.931)	Prec@5 76.562 (75.461)
Epoch: [47][5090/14090]	Time 0.739 (0.764)	Data 0.001 (0.002)	Loss 2.5540 (2.1852)	Prec@1 39.844 (44.929)	Prec@5 66.406 (75.459)
Epoch: [47][5100/14090]	Time 0.733 (0.764)	Data 0.001 (0.002)	Loss 2.1144 (2.1853)	Prec@1 46.094 (44.925)	Prec@5 76.562 (75.458)
Epoch: [47][5110/14090]	Time 0.756 (0.764)	Data 0.001 (0.002)	Loss 2.1183 (2.1853)	Prec@1 43.750 (44.925)	Prec@5 78.125 (75.460)
Epoch: [47][5120/14090]	Time 0.752 (0.764)	Data 0.001 (0.002)	Loss 2.2425 (2.1852)	Prec@1 41.406 (44.928)	Prec@5 75.781 (75.461)
Epoch: [47][5130/14090]	Time 0.844 (0.764)	Data 0.001 (0.002)	Loss 2.2333 (2.1853)	Prec@1 42.188 (44.928)	Prec@5 73.438 (75.461)
Epoch: [47][5140/14090]	Time 0.722 (0.764)	Data 0.001 (0.002)	Loss 1.9421 (2.1850)	Prec@1 45.312 (44.934)	Prec@5 79.688 (75.464)
Epoch: [47][5150/14090]	Time 0.731 (0.764)	Data 0.001 (0.002)	Loss 2.4557 (2.1851)	Prec@1 44.531 (44.931)	Prec@5 67.969 (75.462)
Epoch: [47][5160/14090]	Time 0.755 (0.764)	Data 0.001 (0.002)	Loss 2.1641 (2.1852)	Prec@1 42.188 (44.928)	Prec@5 75.781 (75.462)
Epoch: [47][5170/14090]	Time 0.740 (0.764)	Data 0.001 (0.002)	Loss 2.1337 (2.1852)	Prec@1 46.094 (44.929)	Prec@5 79.688 (75.463)
Epoch: [47][5180/14090]	Time 0.759 (0.764)	Data 0.001 (0.002)	Loss 1.8294 (2.1851)	Prec@1 47.656 (44.929)	Prec@5 82.812 (75.465)
Epoch: [47][5190/14090]	Time 0.725 (0.764)	Data 0.001 (0.002)	Loss 1.9656 (2.1851)	Prec@1 50.781 (44.930)	Prec@5 81.250 (75.465)
Epoch: [47][5200/14090]	Time 0.855 (0.764)	Data 0.001 (0.002)	Loss 1.8493 (2.1851)	Prec@1 47.656 (44.928)	Prec@5 79.688 (75.465)
Epoch: [47][5210/14090]	Time 0.745 (0.764)	Data 0.001 (0.002)	Loss 2.1873 (2.1849)	Prec@1 42.969 (44.927)	Prec@5 75.000 (75.467)
Epoch: [47][5220/14090]	Time 0.741 (0.764)	Data 0.001 (0.002)	Loss 2.2044 (2.1849)	Prec@1 46.094 (44.927)	Prec@5 74.219 (75.468)
Epoch: [47][5230/14090]	Time 0.752 (0.764)	Data 0.001 (0.002)	Loss 2.1779 (2.1849)	Prec@1 44.531 (44.926)	Prec@5 78.906 (75.466)
Epoch: [47][5240/14090]	Time 0.724 (0.764)	Data 0.001 (0.002)	Loss 2.0265 (2.1849)	Prec@1 45.312 (44.928)	Prec@5 78.906 (75.466)
Epoch: [47][5250/14090]	Time 0.760 (0.764)	Data 0.001 (0.002)	Loss 2.2693 (2.1848)	Prec@1 42.969 (44.928)	Prec@5 73.438 (75.469)
Epoch: [47][5260/14090]	Time 0.746 (0.764)	Data 0.001 (0.002)	Loss 2.1944 (2.1849)	Prec@1 46.094 (44.927)	Prec@5 69.531 (75.466)
Epoch: [47][5270/14090]	Time 0.856 (0.764)	Data 0.001 (0.002)	Loss 2.0338 (2.1848)	Prec@1 51.562 (44.932)	Prec@5 75.000 (75.470)
Epoch: [47][5280/14090]	Time 0.726 (0.764)	Data 0.001 (0.002)	Loss 2.3400 (2.1850)	Prec@1 42.969 (44.930)	Prec@5 72.656 (75.464)
Epoch: [47][5290/14090]	Time 0.746 (0.764)	Data 0.001 (0.002)	Loss 2.0719 (2.1851)	Prec@1 45.312 (44.927)	Prec@5 77.344 (75.462)
Epoch: [47][5300/14090]	Time 0.724 (0.764)	Data 0.001 (0.002)	Loss 2.4929 (2.1851)	Prec@1 41.406 (44.926)	Prec@5 71.094 (75.464)
Epoch: [47][5310/14090]	Time 0.746 (0.764)	Data 0.001 (0.002)	Loss 2.1812 (2.1852)	Prec@1 44.531 (44.927)	Prec@5 72.656 (75.461)
Epoch: [47][5320/14090]	Time 0.729 (0.764)	Data 0.001 (0.002)	Loss 2.1091 (2.1851)	Prec@1 49.219 (44.933)	Prec@5 78.906 (75.463)
Epoch: [47][5330/14090]	Time 0.737 (0.764)	Data 0.001 (0.002)	Loss 2.1094 (2.1851)	Prec@1 53.125 (44.936)	Prec@5 73.438 (75.461)
Epoch: [47][5340/14090]	Time 0.916 (0.764)	Data 0.001 (0.002)	Loss 2.1206 (2.1851)	Prec@1 50.000 (44.936)	Prec@5 77.344 (75.462)
Epoch: [47][5350/14090]	Time 0.771 (0.764)	Data 0.001 (0.002)	Loss 2.4142 (2.1851)	Prec@1 37.500 (44.936)	Prec@5 68.750 (75.466)
Epoch: [47][5360/14090]	Time 0.742 (0.764)	Data 0.001 (0.002)	Loss 2.0255 (2.1850)	Prec@1 50.000 (44.934)	Prec@5 75.781 (75.466)
Epoch: [47][5370/14090]	Time 0.782 (0.764)	Data 0.002 (0.002)	Loss 2.2271 (2.1851)	Prec@1 45.312 (44.932)	Prec@5 75.000 (75.463)
Epoch: [47][5380/14090]	Time 0.728 (0.764)	Data 0.001 (0.002)	Loss 2.2861 (2.1851)	Prec@1 46.094 (44.933)	Prec@5 71.875 (75.462)
Epoch: [47][5390/14090]	Time 0.756 (0.764)	Data 0.001 (0.002)	Loss 2.3283 (2.1850)	Prec@1 42.969 (44.936)	Prec@5 73.438 (75.459)
Epoch: [47][5400/14090]	Time 0.762 (0.764)	Data 0.001 (0.002)	Loss 1.9250 (2.1850)	Prec@1 50.000 (44.935)	Prec@5 78.906 (75.460)
Epoch: [47][5410/14090]	Time 0.832 (0.764)	Data 0.001 (0.002)	Loss 2.3738 (2.1851)	Prec@1 40.625 (44.931)	Prec@5 70.312 (75.456)
Epoch: [47][5420/14090]	Time 0.742 (0.764)	Data 0.001 (0.002)	Loss 2.2609 (2.1853)	Prec@1 47.656 (44.929)	Prec@5 75.000 (75.452)
Epoch: [47][5430/14090]	Time 0.765 (0.764)	Data 0.001 (0.002)	Loss 2.4979 (2.1853)	Prec@1 42.188 (44.928)	Prec@5 68.750 (75.452)
Epoch: [47][5440/14090]	Time 0.756 (0.764)	Data 0.001 (0.002)	Loss 1.8650 (2.1853)	Prec@1 55.469 (44.929)	Prec@5 78.906 (75.454)
Epoch: [47][5450/14090]	Time 0.756 (0.764)	Data 0.001 (0.002)	Loss 2.0779 (2.1852)	Prec@1 49.219 (44.930)	Prec@5 77.344 (75.456)
Epoch: [47][5460/14090]	Time 0.757 (0.764)	Data 0.001 (0.002)	Loss 2.0330 (2.1851)	Prec@1 46.875 (44.928)	Prec@5 73.438 (75.457)
Epoch: [47][5470/14090]	Time 0.735 (0.764)	Data 0.001 (0.002)	Loss 2.2013 (2.1853)	Prec@1 38.281 (44.923)	Prec@5 75.000 (75.453)
Epoch: [47][5480/14090]	Time 0.872 (0.764)	Data 0.001 (0.002)	Loss 2.2901 (2.1854)	Prec@1 40.625 (44.919)	Prec@5 77.344 (75.454)
Epoch: [47][5490/14090]	Time 0.742 (0.764)	Data 0.001 (0.002)	Loss 2.2351 (2.1855)	Prec@1 43.750 (44.917)	Prec@5 72.656 (75.453)
Epoch: [47][5500/14090]	Time 0.733 (0.764)	Data 0.001 (0.002)	Loss 2.2530 (2.1855)	Prec@1 42.188 (44.913)	Prec@5 74.219 (75.454)
Epoch: [47][5510/14090]	Time 0.732 (0.764)	Data 0.001 (0.002)	Loss 1.8776 (2.1856)	Prec@1 54.688 (44.908)	Prec@5 80.469 (75.452)
Epoch: [47][5520/14090]	Time 0.751 (0.764)	Data 0.001 (0.002)	Loss 1.8961 (2.1856)	Prec@1 52.344 (44.910)	Prec@5 82.031 (75.452)
Epoch: [47][5530/14090]	Time 0.762 (0.764)	Data 0.001 (0.002)	Loss 1.9960 (2.1856)	Prec@1 46.094 (44.909)	Prec@5 79.688 (75.452)
Epoch: [47][5540/14090]	Time 0.721 (0.764)	Data 0.001 (0.002)	Loss 2.0687 (2.1856)	Prec@1 44.531 (44.903)	Prec@5 75.781 (75.453)
Epoch: [47][5550/14090]	Time 0.890 (0.764)	Data 0.001 (0.002)	Loss 2.1933 (2.1857)	Prec@1 46.094 (44.902)	Prec@5 75.781 (75.453)
Epoch: [47][5560/14090]	Time 0.736 (0.764)	Data 0.002 (0.002)	Loss 2.2057 (2.1857)	Prec@1 39.844 (44.904)	Prec@5 76.562 (75.452)
Epoch: [47][5570/14090]	Time 0.763 (0.764)	Data 0.001 (0.002)	Loss 2.0866 (2.1857)	Prec@1 49.219 (44.905)	Prec@5 79.688 (75.452)
Epoch: [47][5580/14090]	Time 0.749 (0.764)	Data 0.001 (0.002)	Loss 2.4672 (2.1859)	Prec@1 44.531 (44.903)	Prec@5 71.094 (75.449)
Epoch: [47][5590/14090]	Time 0.746 (0.764)	Data 0.001 (0.002)	Loss 2.4545 (2.1859)	Prec@1 32.812 (44.899)	Prec@5 71.094 (75.451)
Epoch: [47][5600/14090]	Time 0.756 (0.764)	Data 0.001 (0.002)	Loss 1.8688 (2.1858)	Prec@1 53.906 (44.902)	Prec@5 82.031 (75.451)
Epoch: [47][5610/14090]	Time 0.757 (0.764)	Data 0.001 (0.002)	Loss 2.0187 (2.1859)	Prec@1 51.562 (44.900)	Prec@5 78.906 (75.450)
Epoch: [47][5620/14090]	Time 0.863 (0.764)	Data 0.001 (0.002)	Loss 2.6555 (2.1861)	Prec@1 37.500 (44.896)	Prec@5 63.281 (75.446)
Epoch: [47][5630/14090]	Time 0.742 (0.764)	Data 0.001 (0.002)	Loss 1.8905 (2.1859)	Prec@1 58.594 (44.900)	Prec@5 78.906 (75.449)
Epoch: [47][5640/14090]	Time 0.746 (0.764)	Data 0.001 (0.002)	Loss 2.0876 (2.1859)	Prec@1 41.406 (44.895)	Prec@5 75.781 (75.449)
Epoch: [47][5650/14090]	Time 0.734 (0.764)	Data 0.001 (0.002)	Loss 2.1538 (2.1859)	Prec@1 46.875 (44.897)	Prec@5 75.000 (75.449)
Epoch: [47][5660/14090]	Time 0.726 (0.764)	Data 0.001 (0.002)	Loss 2.3264 (2.1858)	Prec@1 42.188 (44.899)	Prec@5 74.219 (75.451)
Epoch: [47][5670/14090]	Time 0.751 (0.764)	Data 0.001 (0.002)	Loss 2.3476 (2.1859)	Prec@1 37.500 (44.896)	Prec@5 71.875 (75.446)
Epoch: [47][5680/14090]	Time 0.774 (0.764)	Data 0.001 (0.002)	Loss 2.3322 (2.1860)	Prec@1 42.188 (44.895)	Prec@5 73.438 (75.448)
Epoch: [47][5690/14090]	Time 0.876 (0.764)	Data 0.001 (0.002)	Loss 2.4391 (2.1859)	Prec@1 37.500 (44.898)	Prec@5 71.094 (75.447)
Epoch: [47][5700/14090]	Time 0.756 (0.764)	Data 0.001 (0.002)	Loss 2.3395 (2.1860)	Prec@1 43.750 (44.895)	Prec@5 76.562 (75.446)
Epoch: [47][5710/14090]	Time 0.745 (0.764)	Data 0.001 (0.002)	Loss 1.9140 (2.1860)	Prec@1 50.000 (44.893)	Prec@5 81.250 (75.445)
Epoch: [47][5720/14090]	Time 0.734 (0.764)	Data 0.001 (0.002)	Loss 2.2056 (2.1860)	Prec@1 47.656 (44.892)	Prec@5 77.344 (75.443)
Epoch: [47][5730/14090]	Time 0.750 (0.764)	Data 0.001 (0.002)	Loss 2.2776 (2.1859)	Prec@1 45.312 (44.893)	Prec@5 74.219 (75.444)
Epoch: [47][5740/14090]	Time 0.730 (0.764)	Data 0.001 (0.002)	Loss 2.0262 (2.1862)	Prec@1 48.438 (44.888)	Prec@5 78.125 (75.439)
Epoch: [47][5750/14090]	Time 0.734 (0.764)	Data 0.001 (0.002)	Loss 2.2665 (2.1861)	Prec@1 39.062 (44.885)	Prec@5 75.781 (75.441)
Epoch: [47][5760/14090]	Time 0.885 (0.764)	Data 0.001 (0.002)	Loss 2.3989 (2.1864)	Prec@1 33.594 (44.879)	Prec@5 74.219 (75.437)
Epoch: [47][5770/14090]	Time 0.746 (0.764)	Data 0.001 (0.002)	Loss 2.2031 (2.1864)	Prec@1 48.438 (44.876)	Prec@5 72.656 (75.436)
Epoch: [47][5780/14090]	Time 0.742 (0.764)	Data 0.001 (0.002)	Loss 2.2537 (2.1865)	Prec@1 41.406 (44.874)	Prec@5 73.438 (75.434)
Epoch: [47][5790/14090]	Time 0.752 (0.764)	Data 0.001 (0.002)	Loss 2.1814 (2.1865)	Prec@1 45.312 (44.875)	Prec@5 75.000 (75.432)
Epoch: [47][5800/14090]	Time 0.781 (0.764)	Data 0.001 (0.002)	Loss 2.2433 (2.1864)	Prec@1 46.094 (44.878)	Prec@5 72.656 (75.433)
Epoch: [47][5810/14090]	Time 0.737 (0.764)	Data 0.001 (0.002)	Loss 2.0437 (2.1865)	Prec@1 44.531 (44.879)	Prec@5 75.781 (75.430)
Epoch: [47][5820/14090]	Time 0.757 (0.764)	Data 0.001 (0.002)	Loss 2.1159 (2.1865)	Prec@1 50.781 (44.881)	Prec@5 78.125 (75.431)
Epoch: [47][5830/14090]	Time 0.878 (0.764)	Data 0.001 (0.002)	Loss 2.2670 (2.1865)	Prec@1 46.875 (44.883)	Prec@5 72.656 (75.432)
Epoch: [47][5840/14090]	Time 0.752 (0.764)	Data 0.001 (0.002)	Loss 2.0528 (2.1864)	Prec@1 44.531 (44.884)	Prec@5 79.688 (75.434)
Epoch: [47][5850/14090]	Time 0.722 (0.764)	Data 0.001 (0.002)	Loss 2.3654 (2.1864)	Prec@1 42.188 (44.887)	Prec@5 71.875 (75.431)
Epoch: [47][5860/14090]	Time 0.748 (0.764)	Data 0.001 (0.002)	Loss 2.0788 (2.1864)	Prec@1 52.344 (44.890)	Prec@5 77.344 (75.431)
Epoch: [47][5870/14090]	Time 0.756 (0.764)	Data 0.001 (0.002)	Loss 2.1671 (2.1863)	Prec@1 40.625 (44.892)	Prec@5 76.562 (75.432)
Epoch: [47][5880/14090]	Time 0.737 (0.764)	Data 0.001 (0.002)	Loss 1.9291 (2.1863)	Prec@1 47.656 (44.891)	Prec@5 78.125 (75.431)
Epoch: [47][5890/14090]	Time 0.756 (0.764)	Data 0.001 (0.002)	Loss 2.1964 (2.1863)	Prec@1 46.094 (44.889)	Prec@5 76.562 (75.431)
Epoch: [47][5900/14090]	Time 0.811 (0.764)	Data 0.001 (0.002)	Loss 2.2098 (2.1862)	Prec@1 48.438 (44.893)	Prec@5 75.000 (75.429)
Epoch: [47][5910/14090]	Time 0.729 (0.764)	Data 0.001 (0.002)	Loss 1.9182 (2.1863)	Prec@1 51.562 (44.892)	Prec@5 80.469 (75.427)
Epoch: [47][5920/14090]	Time 0.747 (0.764)	Data 0.001 (0.002)	Loss 2.0278 (2.1863)	Prec@1 47.656 (44.889)	Prec@5 73.438 (75.426)
Epoch: [47][5930/14090]	Time 0.770 (0.764)	Data 0.001 (0.002)	Loss 2.1442 (2.1861)	Prec@1 43.750 (44.892)	Prec@5 75.781 (75.428)
Epoch: [47][5940/14090]	Time 0.755 (0.764)	Data 0.001 (0.002)	Loss 1.9506 (2.1862)	Prec@1 49.219 (44.890)	Prec@5 80.469 (75.425)
Epoch: [47][5950/14090]	Time 0.786 (0.764)	Data 0.001 (0.002)	Loss 2.3659 (2.1863)	Prec@1 39.844 (44.889)	Prec@5 73.438 (75.424)
Epoch: [47][5960/14090]	Time 0.723 (0.764)	Data 0.001 (0.002)	Loss 2.0727 (2.1863)	Prec@1 46.094 (44.890)	Prec@5 79.688 (75.423)
Epoch: [47][5970/14090]	Time 0.895 (0.764)	Data 0.001 (0.002)	Loss 1.8173 (2.1863)	Prec@1 58.594 (44.892)	Prec@5 84.375 (75.423)
Epoch: [47][5980/14090]	Time 0.722 (0.764)	Data 0.001 (0.002)	Loss 1.9978 (2.1863)	Prec@1 46.875 (44.893)	Prec@5 80.469 (75.423)
Epoch: [47][5990/14090]	Time 0.743 (0.764)	Data 0.001 (0.002)	Loss 2.2240 (2.1863)	Prec@1 43.750 (44.894)	Prec@5 77.344 (75.424)
Epoch: [47][6000/14090]	Time 0.736 (0.764)	Data 0.001 (0.002)	Loss 2.3154 (2.1864)	Prec@1 42.188 (44.890)	Prec@5 73.438 (75.423)
Epoch: [47][6010/14090]	Time 0.738 (0.764)	Data 0.001 (0.002)	Loss 2.4138 (2.1864)	Prec@1 40.625 (44.887)	Prec@5 69.531 (75.423)
Epoch: [47][6020/14090]	Time 0.754 (0.764)	Data 0.001 (0.002)	Loss 2.1873 (2.1865)	Prec@1 46.875 (44.886)	Prec@5 78.125 (75.423)
Epoch: [47][6030/14090]	Time 0.726 (0.764)	Data 0.001 (0.002)	Loss 2.2572 (2.1865)	Prec@1 42.969 (44.886)	Prec@5 73.438 (75.422)
Epoch: [47][6040/14090]	Time 0.884 (0.764)	Data 0.001 (0.002)	Loss 2.3716 (2.1866)	Prec@1 50.000 (44.885)	Prec@5 72.656 (75.421)
Epoch: [47][6050/14090]	Time 0.752 (0.764)	Data 0.001 (0.002)	Loss 2.2897 (2.1866)	Prec@1 45.312 (44.886)	Prec@5 71.875 (75.422)
Epoch: [47][6060/14090]	Time 0.751 (0.764)	Data 0.001 (0.002)	Loss 2.4356 (2.1867)	Prec@1 41.406 (44.885)	Prec@5 73.438 (75.421)
Epoch: [47][6070/14090]	Time 0.732 (0.764)	Data 0.001 (0.002)	Loss 2.0919 (2.1868)	Prec@1 51.562 (44.886)	Prec@5 78.125 (75.419)
Epoch: [47][6080/14090]	Time 0.737 (0.764)	Data 0.001 (0.002)	Loss 2.1529 (2.1868)	Prec@1 43.750 (44.885)	Prec@5 78.125 (75.419)
Epoch: [47][6090/14090]	Time 0.748 (0.764)	Data 0.001 (0.002)	Loss 1.9410 (2.1866)	Prec@1 55.469 (44.892)	Prec@5 82.812 (75.421)
Epoch: [47][6100/14090]	Time 0.731 (0.764)	Data 0.001 (0.002)	Loss 2.2969 (2.1866)	Prec@1 45.312 (44.894)	Prec@5 74.219 (75.422)
Epoch: [47][6110/14090]	Time 0.886 (0.764)	Data 0.001 (0.002)	Loss 2.1491 (2.1865)	Prec@1 46.875 (44.898)	Prec@5 76.562 (75.423)
Epoch: [47][6120/14090]	Time 0.728 (0.764)	Data 0.001 (0.002)	Loss 2.3538 (2.1865)	Prec@1 42.188 (44.898)	Prec@5 74.219 (75.424)
Epoch: [47][6130/14090]	Time 0.744 (0.764)	Data 0.001 (0.002)	Loss 2.1444 (2.1864)	Prec@1 48.438 (44.900)	Prec@5 72.656 (75.427)
Epoch: [47][6140/14090]	Time 0.747 (0.764)	Data 0.001 (0.002)	Loss 2.3345 (2.1864)	Prec@1 37.500 (44.899)	Prec@5 71.094 (75.428)
Epoch: [47][6150/14090]	Time 0.743 (0.764)	Data 0.001 (0.002)	Loss 2.5323 (2.1864)	Prec@1 38.281 (44.898)	Prec@5 62.500 (75.425)
Epoch: [47][6160/14090]	Time 0.725 (0.764)	Data 0.001 (0.002)	Loss 2.4112 (2.1865)	Prec@1 37.500 (44.895)	Prec@5 67.969 (75.426)
Epoch: [47][6170/14090]	Time 0.753 (0.764)	Data 0.001 (0.002)	Loss 2.0310 (2.1866)	Prec@1 46.875 (44.893)	Prec@5 75.000 (75.423)
Epoch: [47][6180/14090]	Time 0.894 (0.764)	Data 0.001 (0.002)	Loss 2.3296 (2.1866)	Prec@1 42.188 (44.892)	Prec@5 73.438 (75.424)
Epoch: [47][6190/14090]	Time 0.730 (0.764)	Data 0.001 (0.002)	Loss 2.2787 (2.1867)	Prec@1 41.406 (44.889)	Prec@5 68.750 (75.421)
Epoch: [47][6200/14090]	Time 0.755 (0.764)	Data 0.001 (0.002)	Loss 2.1653 (2.1868)	Prec@1 49.219 (44.889)	Prec@5 75.781 (75.420)
Epoch: [47][6210/14090]	Time 0.751 (0.764)	Data 0.001 (0.002)	Loss 1.8937 (2.1867)	Prec@1 47.656 (44.891)	Prec@5 80.469 (75.421)
Epoch: [47][6220/14090]	Time 0.748 (0.764)	Data 0.001 (0.002)	Loss 2.4293 (2.1867)	Prec@1 39.844 (44.893)	Prec@5 65.625 (75.421)
Epoch: [47][6230/14090]	Time 0.751 (0.764)	Data 0.001 (0.002)	Loss 2.3533 (2.1868)	Prec@1 43.750 (44.892)	Prec@5 67.188 (75.420)
Epoch: [47][6240/14090]	Time 0.771 (0.764)	Data 0.001 (0.002)	Loss 2.5351 (2.1869)	Prec@1 39.062 (44.888)	Prec@5 64.844 (75.419)
Epoch: [47][6250/14090]	Time 0.838 (0.764)	Data 0.001 (0.002)	Loss 2.4954 (2.1869)	Prec@1 35.156 (44.885)	Prec@5 65.625 (75.417)
Epoch: [47][6260/14090]	Time 0.756 (0.764)	Data 0.001 (0.002)	Loss 2.5302 (2.1868)	Prec@1 44.531 (44.887)	Prec@5 71.094 (75.421)
Epoch: [47][6270/14090]	Time 0.765 (0.764)	Data 0.001 (0.002)	Loss 2.0295 (2.1866)	Prec@1 49.219 (44.889)	Prec@5 79.688 (75.425)
Epoch: [47][6280/14090]	Time 0.755 (0.764)	Data 0.001 (0.002)	Loss 2.0187 (2.1866)	Prec@1 47.656 (44.891)	Prec@5 82.031 (75.427)
Epoch: [47][6290/14090]	Time 0.738 (0.764)	Data 0.001 (0.002)	Loss 1.9767 (2.1865)	Prec@1 46.875 (44.897)	Prec@5 78.125 (75.432)
Epoch: [47][6300/14090]	Time 0.752 (0.764)	Data 0.001 (0.002)	Loss 2.0003 (2.1864)	Prec@1 41.406 (44.897)	Prec@5 79.688 (75.435)
Epoch: [47][6310/14090]	Time 0.744 (0.764)	Data 0.001 (0.002)	Loss 2.3329 (2.1865)	Prec@1 34.375 (44.894)	Prec@5 71.875 (75.435)
Epoch: [47][6320/14090]	Time 0.853 (0.764)	Data 0.001 (0.002)	Loss 2.3225 (2.1865)	Prec@1 37.500 (44.894)	Prec@5 75.000 (75.435)
Epoch: [47][6330/14090]	Time 0.737 (0.764)	Data 0.001 (0.002)	Loss 2.2690 (2.1866)	Prec@1 39.844 (44.890)	Prec@5 74.219 (75.433)
Epoch: [47][6340/14090]	Time 0.725 (0.764)	Data 0.001 (0.002)	Loss 2.0553 (2.1865)	Prec@1 44.531 (44.894)	Prec@5 78.906 (75.438)
Epoch: [47][6350/14090]	Time 0.737 (0.764)	Data 0.001 (0.002)	Loss 2.3950 (2.1867)	Prec@1 43.750 (44.890)	Prec@5 67.969 (75.436)
Epoch: [47][6360/14090]	Time 0.739 (0.764)	Data 0.001 (0.002)	Loss 2.6361 (2.1868)	Prec@1 36.719 (44.888)	Prec@5 64.844 (75.434)
Epoch: [47][6370/14090]	Time 0.738 (0.764)	Data 0.001 (0.002)	Loss 2.5617 (2.1869)	Prec@1 39.062 (44.887)	Prec@5 65.625 (75.430)
Epoch: [47][6380/14090]	Time 0.740 (0.764)	Data 0.001 (0.002)	Loss 2.2736 (2.1870)	Prec@1 42.188 (44.884)	Prec@5 74.219 (75.429)
Epoch: [47][6390/14090]	Time 0.872 (0.764)	Data 0.001 (0.002)	Loss 2.1167 (2.1869)	Prec@1 47.656 (44.887)	Prec@5 75.000 (75.428)
Epoch: [47][6400/14090]	Time 0.742 (0.764)	Data 0.001 (0.002)	Loss 1.9739 (2.1869)	Prec@1 50.000 (44.887)	Prec@5 79.688 (75.429)
Epoch: [47][6410/14090]	Time 0.752 (0.764)	Data 0.001 (0.002)	Loss 2.1897 (2.1869)	Prec@1 47.656 (44.888)	Prec@5 71.094 (75.429)
Epoch: [47][6420/14090]	Time 0.721 (0.764)	Data 0.001 (0.002)	Loss 2.1359 (2.1868)	Prec@1 45.312 (44.889)	Prec@5 77.344 (75.430)
Epoch: [47][6430/14090]	Time 0.742 (0.764)	Data 0.001 (0.002)	Loss 1.9681 (2.1868)	Prec@1 52.344 (44.887)	Prec@5 77.344 (75.429)
Epoch: [47][6440/14090]	Time 0.755 (0.764)	Data 0.001 (0.002)	Loss 2.1219 (2.1869)	Prec@1 44.531 (44.884)	Prec@5 75.781 (75.428)
Epoch: [47][6450/14090]	Time 0.774 (0.764)	Data 0.001 (0.002)	Loss 2.2655 (2.1868)	Prec@1 48.438 (44.886)	Prec@5 72.656 (75.431)
Epoch: [47][6460/14090]	Time 0.853 (0.764)	Data 0.001 (0.002)	Loss 2.0709 (2.1868)	Prec@1 42.969 (44.884)	Prec@5 76.562 (75.431)
Epoch: [47][6470/14090]	Time 0.721 (0.764)	Data 0.001 (0.002)	Loss 2.3806 (2.1868)	Prec@1 44.531 (44.883)	Prec@5 71.094 (75.429)
Epoch: [47][6480/14090]	Time 0.724 (0.764)	Data 0.001 (0.002)	Loss 2.2291 (2.1869)	Prec@1 42.969 (44.883)	Prec@5 75.000 (75.428)
Epoch: [47][6490/14090]	Time 0.724 (0.764)	Data 0.001 (0.002)	Loss 2.3475 (2.1868)	Prec@1 39.062 (44.884)	Prec@5 76.562 (75.429)
Epoch: [47][6500/14090]	Time 0.751 (0.764)	Data 0.001 (0.002)	Loss 2.3622 (2.1870)	Prec@1 41.406 (44.878)	Prec@5 70.312 (75.424)
Epoch: [47][6510/14090]	Time 0.770 (0.764)	Data 0.001 (0.002)	Loss 2.3579 (2.1869)	Prec@1 34.375 (44.877)	Prec@5 77.344 (75.426)
Epoch: [47][6520/14090]	Time 0.768 (0.764)	Data 0.001 (0.002)	Loss 1.9609 (2.1867)	Prec@1 51.562 (44.884)	Prec@5 78.125 (75.427)
Epoch: [47][6530/14090]	Time 0.878 (0.764)	Data 0.001 (0.002)	Loss 2.5469 (2.1868)	Prec@1 34.375 (44.882)	Prec@5 63.281 (75.426)
Epoch: [47][6540/14090]	Time 0.748 (0.764)	Data 0.001 (0.002)	Loss 2.2746 (2.1869)	Prec@1 46.094 (44.879)	Prec@5 72.656 (75.423)
Epoch: [47][6550/14090]	Time 0.787 (0.764)	Data 0.001 (0.002)	Loss 2.3650 (2.1868)	Prec@1 42.188 (44.879)	Prec@5 71.094 (75.423)
Epoch: [47][6560/14090]	Time 0.751 (0.764)	Data 0.001 (0.002)	Loss 2.3128 (2.1869)	Prec@1 42.969 (44.879)	Prec@5 73.438 (75.423)
Epoch: [47][6570/14090]	Time 0.758 (0.764)	Data 0.001 (0.002)	Loss 2.4952 (2.1868)	Prec@1 42.188 (44.880)	Prec@5 68.750 (75.427)
Epoch: [47][6580/14090]	Time 0.737 (0.764)	Data 0.001 (0.002)	Loss 1.8646 (2.1867)	Prec@1 55.469 (44.883)	Prec@5 80.469 (75.431)
Epoch: [47][6590/14090]	Time 0.727 (0.764)	Data 0.001 (0.002)	Loss 2.3922 (2.1867)	Prec@1 44.531 (44.884)	Prec@5 69.531 (75.432)
Epoch: [47][6600/14090]	Time 0.831 (0.764)	Data 0.001 (0.002)	Loss 2.1351 (2.1867)	Prec@1 42.969 (44.882)	Prec@5 77.344 (75.433)
Epoch: [47][6610/14090]	Time 0.759 (0.764)	Data 0.001 (0.002)	Loss 2.2617 (2.1868)	Prec@1 41.406 (44.880)	Prec@5 77.344 (75.431)
Epoch: [47][6620/14090]	Time 0.748 (0.764)	Data 0.001 (0.002)	Loss 2.0663 (2.1868)	Prec@1 49.219 (44.881)	Prec@5 81.250 (75.431)
Epoch: [47][6630/14090]	Time 0.723 (0.764)	Data 0.001 (0.002)	Loss 2.1142 (2.1868)	Prec@1 47.656 (44.881)	Prec@5 74.219 (75.431)
Epoch: [47][6640/14090]	Time 0.751 (0.764)	Data 0.001 (0.002)	Loss 2.0437 (2.1868)	Prec@1 54.688 (44.881)	Prec@5 81.250 (75.430)
Epoch: [47][6650/14090]	Time 0.741 (0.764)	Data 0.001 (0.002)	Loss 2.2723 (2.1869)	Prec@1 40.625 (44.879)	Prec@5 69.531 (75.429)
Epoch: [47][6660/14090]	Time 0.747 (0.764)	Data 0.001 (0.002)	Loss 2.2058 (2.1869)	Prec@1 38.281 (44.875)	Prec@5 71.875 (75.426)
Epoch: [47][6670/14090]	Time 0.837 (0.764)	Data 0.001 (0.002)	Loss 2.0364 (2.1870)	Prec@1 53.906 (44.877)	Prec@5 81.250 (75.426)
Epoch: [47][6680/14090]	Time 0.736 (0.764)	Data 0.001 (0.002)	Loss 2.1027 (2.1868)	Prec@1 49.219 (44.882)	Prec@5 80.469 (75.427)
Epoch: [47][6690/14090]	Time 0.747 (0.764)	Data 0.001 (0.002)	Loss 2.0442 (2.1869)	Prec@1 44.531 (44.881)	Prec@5 75.000 (75.425)
Epoch: [47][6700/14090]	Time 0.738 (0.764)	Data 0.001 (0.002)	Loss 2.1268 (2.1868)	Prec@1 46.094 (44.883)	Prec@5 76.562 (75.426)
Epoch: [47][6710/14090]	Time 0.741 (0.764)	Data 0.001 (0.002)	Loss 2.2430 (2.1868)	Prec@1 42.188 (44.881)	Prec@5 73.438 (75.425)
Epoch: [47][6720/14090]	Time 0.747 (0.764)	Data 0.001 (0.002)	Loss 2.3132 (2.1868)	Prec@1 42.969 (44.883)	Prec@5 75.000 (75.425)
Epoch: [47][6730/14090]	Time 0.753 (0.764)	Data 0.001 (0.002)	Loss 2.1528 (2.1868)	Prec@1 50.000 (44.884)	Prec@5 73.438 (75.424)
Epoch: [47][6740/14090]	Time 0.860 (0.764)	Data 0.001 (0.002)	Loss 1.8142 (2.1867)	Prec@1 55.469 (44.884)	Prec@5 78.125 (75.427)
Epoch: [47][6750/14090]	Time 0.761 (0.764)	Data 0.001 (0.002)	Loss 2.0851 (2.1868)	Prec@1 48.438 (44.882)	Prec@5 76.562 (75.426)
Epoch: [47][6760/14090]	Time 0.752 (0.764)	Data 0.001 (0.002)	Loss 1.9904 (2.1867)	Prec@1 39.062 (44.881)	Prec@5 83.594 (75.428)
Epoch: [47][6770/14090]	Time 0.754 (0.764)	Data 0.001 (0.002)	Loss 2.1607 (2.1868)	Prec@1 42.969 (44.880)	Prec@5 75.000 (75.426)
Epoch: [47][6780/14090]	Time 0.760 (0.764)	Data 0.001 (0.002)	Loss 2.3827 (2.1868)	Prec@1 45.312 (44.883)	Prec@5 69.531 (75.425)
Epoch: [47][6790/14090]	Time 0.744 (0.764)	Data 0.001 (0.002)	Loss 2.0086 (2.1868)	Prec@1 42.969 (44.883)	Prec@5 77.344 (75.427)
Epoch: [47][6800/14090]	Time 0.755 (0.764)	Data 0.001 (0.002)	Loss 2.3618 (2.1869)	Prec@1 35.938 (44.878)	Prec@5 78.906 (75.427)
Epoch: [47][6810/14090]	Time 0.903 (0.764)	Data 0.001 (0.002)	Loss 2.4490 (2.1869)	Prec@1 39.844 (44.875)	Prec@5 71.094 (75.427)
Epoch: [47][6820/14090]	Time 0.767 (0.764)	Data 0.001 (0.002)	Loss 2.1064 (2.1870)	Prec@1 44.531 (44.871)	Prec@5 76.562 (75.426)
Epoch: [47][6830/14090]	Time 0.730 (0.764)	Data 0.001 (0.002)	Loss 2.0382 (2.1869)	Prec@1 51.562 (44.873)	Prec@5 75.000 (75.427)
Epoch: [47][6840/14090]	Time 0.747 (0.764)	Data 0.001 (0.002)	Loss 2.0139 (2.1869)	Prec@1 46.094 (44.874)	Prec@5 76.562 (75.426)
Epoch: [47][6850/14090]	Time 0.734 (0.764)	Data 0.001 (0.002)	Loss 2.3421 (2.1869)	Prec@1 42.188 (44.875)	Prec@5 74.219 (75.426)
Epoch: [47][6860/14090]	Time 0.758 (0.764)	Data 0.001 (0.002)	Loss 2.3800 (2.1869)	Prec@1 37.500 (44.873)	Prec@5 71.875 (75.426)
Epoch: [47][6870/14090]	Time 0.731 (0.764)	Data 0.001 (0.002)	Loss 2.6183 (2.1870)	Prec@1 35.156 (44.871)	Prec@5 67.188 (75.425)
Epoch: [47][6880/14090]	Time 0.875 (0.764)	Data 0.001 (0.002)	Loss 2.3730 (2.1870)	Prec@1 45.312 (44.872)	Prec@5 71.094 (75.426)
Epoch: [47][6890/14090]	Time 0.749 (0.764)	Data 0.001 (0.002)	Loss 2.2299 (2.1870)	Prec@1 44.531 (44.871)	Prec@5 74.219 (75.425)
Epoch: [47][6900/14090]	Time 0.760 (0.764)	Data 0.001 (0.002)	Loss 2.0810 (2.1870)	Prec@1 45.312 (44.870)	Prec@5 82.031 (75.423)
Epoch: [47][6910/14090]	Time 0.738 (0.764)	Data 0.001 (0.002)	Loss 2.5934 (2.1871)	Prec@1 35.156 (44.871)	Prec@5 67.188 (75.422)
Epoch: [47][6920/14090]	Time 0.750 (0.764)	Data 0.001 (0.002)	Loss 2.2031 (2.1871)	Prec@1 50.781 (44.872)	Prec@5 74.219 (75.420)
Epoch: [47][6930/14090]	Time 0.743 (0.764)	Data 0.001 (0.002)	Loss 2.0102 (2.1869)	Prec@1 50.000 (44.877)	Prec@5 77.344 (75.425)
Epoch: [47][6940/14090]	Time 0.768 (0.764)	Data 0.001 (0.002)	Loss 2.3959 (2.1871)	Prec@1 39.844 (44.875)	Prec@5 69.531 (75.424)
Epoch: [47][6950/14090]	Time 0.848 (0.764)	Data 0.001 (0.002)	Loss 2.0879 (2.1871)	Prec@1 45.312 (44.872)	Prec@5 75.781 (75.423)
Epoch: [47][6960/14090]	Time 0.724 (0.764)	Data 0.001 (0.002)	Loss 2.2078 (2.1872)	Prec@1 44.531 (44.870)	Prec@5 76.562 (75.421)
Epoch: [47][6970/14090]	Time 0.748 (0.764)	Data 0.001 (0.002)	Loss 2.2873 (2.1872)	Prec@1 44.531 (44.871)	Prec@5 74.219 (75.420)
Epoch: [47][6980/14090]	Time 0.725 (0.764)	Data 0.001 (0.002)	Loss 2.0321 (2.1873)	Prec@1 44.531 (44.867)	Prec@5 75.781 (75.418)
Epoch: [47][6990/14090]	Time 0.756 (0.764)	Data 0.001 (0.002)	Loss 1.9667 (2.1872)	Prec@1 45.312 (44.868)	Prec@5 81.250 (75.420)
Epoch: [47][7000/14090]	Time 0.767 (0.764)	Data 0.001 (0.002)	Loss 2.4206 (2.1873)	Prec@1 37.500 (44.866)	Prec@5 69.531 (75.420)
Epoch: [47][7010/14090]	Time 0.758 (0.764)	Data 0.001 (0.002)	Loss 1.9849 (2.1873)	Prec@1 48.438 (44.867)	Prec@5 79.688 (75.421)
Epoch: [47][7020/14090]	Time 0.863 (0.764)	Data 0.001 (0.002)	Loss 2.0724 (2.1872)	Prec@1 46.875 (44.867)	Prec@5 78.125 (75.421)
Epoch: [47][7030/14090]	Time 0.726 (0.764)	Data 0.001 (0.002)	Loss 2.1760 (2.1873)	Prec@1 45.312 (44.869)	Prec@5 72.656 (75.418)
Epoch: [47][7040/14090]	Time 0.741 (0.764)	Data 0.001 (0.002)	Loss 2.4717 (2.1873)	Prec@1 35.156 (44.868)	Prec@5 73.438 (75.418)
Epoch: [47][7050/14090]	Time 0.722 (0.764)	Data 0.001 (0.002)	Loss 2.1450 (2.1873)	Prec@1 46.875 (44.869)	Prec@5 75.000 (75.416)
Epoch: [47][7060/14090]	Time 0.764 (0.764)	Data 0.001 (0.002)	Loss 2.2530 (2.1873)	Prec@1 42.969 (44.869)	Prec@5 73.438 (75.413)
Epoch: [47][7070/14090]	Time 0.754 (0.764)	Data 0.001 (0.002)	Loss 2.2455 (2.1873)	Prec@1 45.312 (44.868)	Prec@5 71.094 (75.413)
Epoch: [47][7080/14090]	Time 0.761 (0.764)	Data 0.001 (0.002)	Loss 2.1505 (2.1873)	Prec@1 43.750 (44.867)	Prec@5 75.000 (75.412)
Epoch: [47][7090/14090]	Time 0.813 (0.764)	Data 0.001 (0.002)	Loss 2.1832 (2.1873)	Prec@1 42.969 (44.866)	Prec@5 78.906 (75.412)
Epoch: [47][7100/14090]	Time 0.752 (0.764)	Data 0.001 (0.002)	Loss 2.3832 (2.1874)	Prec@1 41.406 (44.866)	Prec@5 67.969 (75.410)
Epoch: [47][7110/14090]	Time 0.754 (0.764)	Data 0.001 (0.002)	Loss 2.1678 (2.1875)	Prec@1 50.781 (44.865)	Prec@5 71.094 (75.409)
Epoch: [47][7120/14090]	Time 0.728 (0.764)	Data 0.001 (0.002)	Loss 2.4269 (2.1876)	Prec@1 37.500 (44.863)	Prec@5 72.656 (75.407)
Epoch: [47][7130/14090]	Time 0.750 (0.764)	Data 0.001 (0.002)	Loss 1.9608 (2.1876)	Prec@1 47.656 (44.862)	Prec@5 82.031 (75.409)
Epoch: [47][7140/14090]	Time 0.757 (0.764)	Data 0.001 (0.002)	Loss 1.9618 (2.1875)	Prec@1 47.656 (44.862)	Prec@5 79.688 (75.409)
Epoch: [47][7150/14090]	Time 0.753 (0.764)	Data 0.001 (0.002)	Loss 2.1785 (2.1876)	Prec@1 42.969 (44.859)	Prec@5 78.125 (75.407)
Epoch: [47][7160/14090]	Time 0.897 (0.764)	Data 0.001 (0.002)	Loss 2.2959 (2.1877)	Prec@1 47.656 (44.855)	Prec@5 74.219 (75.402)
Epoch: [47][7170/14090]	Time 0.746 (0.764)	Data 0.003 (0.002)	Loss 2.1316 (2.1876)	Prec@1 46.094 (44.857)	Prec@5 82.031 (75.407)
Epoch: [47][7180/14090]	Time 0.762 (0.764)	Data 0.001 (0.002)	Loss 2.1232 (2.1875)	Prec@1 46.094 (44.857)	Prec@5 79.688 (75.409)
Epoch: [47][7190/14090]	Time 0.751 (0.764)	Data 0.001 (0.002)	Loss 2.1333 (2.1874)	Prec@1 47.656 (44.859)	Prec@5 76.562 (75.411)
Epoch: [47][7200/14090]	Time 0.753 (0.764)	Data 0.001 (0.002)	Loss 2.1658 (2.1875)	Prec@1 54.688 (44.859)	Prec@5 78.906 (75.410)
Epoch: [47][7210/14090]	Time 0.727 (0.764)	Data 0.001 (0.002)	Loss 2.4784 (2.1874)	Prec@1 38.281 (44.860)	Prec@5 64.844 (75.412)
Epoch: [47][7220/14090]	Time 0.755 (0.764)	Data 0.001 (0.002)	Loss 2.3053 (2.1873)	Prec@1 36.719 (44.862)	Prec@5 70.312 (75.415)
Epoch: [47][7230/14090]	Time 0.851 (0.764)	Data 0.001 (0.002)	Loss 1.9623 (2.1872)	Prec@1 46.094 (44.863)	Prec@5 79.688 (75.417)
Epoch: [47][7240/14090]	Time 0.731 (0.764)	Data 0.001 (0.002)	Loss 2.0659 (2.1873)	Prec@1 50.000 (44.861)	Prec@5 75.781 (75.416)
Epoch: [47][7250/14090]	Time 0.731 (0.764)	Data 0.001 (0.002)	Loss 2.4957 (2.1873)	Prec@1 35.156 (44.862)	Prec@5 70.312 (75.415)
Epoch: [47][7260/14090]	Time 0.736 (0.764)	Data 0.001 (0.002)	Loss 2.3230 (2.1874)	Prec@1 38.281 (44.863)	Prec@5 71.875 (75.415)
Epoch: [47][7270/14090]	Time 0.752 (0.764)	Data 0.001 (0.002)	Loss 2.1816 (2.1874)	Prec@1 43.750 (44.864)	Prec@5 73.438 (75.415)
Epoch: [47][7280/14090]	Time 0.732 (0.764)	Data 0.001 (0.002)	Loss 2.1501 (2.1874)	Prec@1 45.312 (44.864)	Prec@5 75.000 (75.415)
Epoch: [47][7290/14090]	Time 0.743 (0.764)	Data 0.001 (0.002)	Loss 2.2810 (2.1874)	Prec@1 44.531 (44.864)	Prec@5 72.656 (75.414)
Epoch: [47][7300/14090]	Time 0.912 (0.764)	Data 0.001 (0.002)	Loss 2.1724 (2.1875)	Prec@1 46.875 (44.862)	Prec@5 76.562 (75.413)
Epoch: [47][7310/14090]	Time 0.749 (0.764)	Data 0.001 (0.002)	Loss 2.1127 (2.1874)	Prec@1 42.969 (44.860)	Prec@5 76.562 (75.413)
Epoch: [47][7320/14090]	Time 0.741 (0.764)	Data 0.001 (0.002)	Loss 2.3445 (2.1875)	Prec@1 40.625 (44.862)	Prec@5 71.094 (75.412)
Epoch: [47][7330/14090]	Time 0.742 (0.764)	Data 0.001 (0.002)	Loss 2.0409 (2.1875)	Prec@1 48.438 (44.862)	Prec@5 74.219 (75.410)
Epoch: [47][7340/14090]	Time 0.746 (0.764)	Data 0.001 (0.002)	Loss 2.1616 (2.1875)	Prec@1 53.125 (44.863)	Prec@5 70.312 (75.407)
Epoch: [47][7350/14090]	Time 0.746 (0.764)	Data 0.001 (0.002)	Loss 1.8353 (2.1875)	Prec@1 52.344 (44.865)	Prec@5 82.812 (75.409)
Epoch: [47][7360/14090]	Time 0.748 (0.764)	Data 0.001 (0.002)	Loss 2.0192 (2.1874)	Prec@1 49.219 (44.867)	Prec@5 78.125 (75.412)
Epoch: [47][7370/14090]	Time 0.850 (0.764)	Data 0.001 (0.002)	Loss 2.3020 (2.1874)	Prec@1 40.625 (44.865)	Prec@5 72.656 (75.412)
Epoch: [47][7380/14090]	Time 0.731 (0.764)	Data 0.001 (0.002)	Loss 2.3089 (2.1873)	Prec@1 39.062 (44.865)	Prec@5 73.438 (75.414)
Epoch: [47][7390/14090]	Time 0.738 (0.764)	Data 0.001 (0.002)	Loss 2.2090 (2.1872)	Prec@1 42.969 (44.867)	Prec@5 76.562 (75.416)
Epoch: [47][7400/14090]	Time 0.747 (0.764)	Data 0.001 (0.002)	Loss 2.4187 (2.1872)	Prec@1 39.844 (44.867)	Prec@5 71.875 (75.414)
Epoch: [47][7410/14090]	Time 0.743 (0.764)	Data 0.001 (0.002)	Loss 2.1119 (2.1872)	Prec@1 46.094 (44.866)	Prec@5 77.344 (75.415)
Epoch: [47][7420/14090]	Time 0.759 (0.764)	Data 0.001 (0.002)	Loss 2.1295 (2.1871)	Prec@1 44.531 (44.867)	Prec@5 75.781 (75.415)
Epoch: [47][7430/14090]	Time 0.772 (0.764)	Data 0.001 (0.002)	Loss 2.0123 (2.1870)	Prec@1 47.656 (44.868)	Prec@5 77.344 (75.417)
Epoch: [47][7440/14090]	Time 0.875 (0.764)	Data 0.001 (0.002)	Loss 2.1959 (2.1870)	Prec@1 44.531 (44.870)	Prec@5 72.656 (75.416)
Epoch: [47][7450/14090]	Time 0.758 (0.764)	Data 0.001 (0.002)	Loss 2.2205 (2.1870)	Prec@1 41.406 (44.870)	Prec@5 74.219 (75.415)
Epoch: [47][7460/14090]	Time 0.739 (0.764)	Data 0.001 (0.002)	Loss 2.2856 (2.1870)	Prec@1 43.750 (44.870)	Prec@5 72.656 (75.415)
Epoch: [47][7470/14090]	Time 0.782 (0.764)	Data 0.001 (0.002)	Loss 2.2268 (2.1870)	Prec@1 50.000 (44.870)	Prec@5 75.781 (75.414)
Epoch: [47][7480/14090]	Time 0.739 (0.764)	Data 0.001 (0.002)	Loss 2.1359 (2.1869)	Prec@1 46.094 (44.872)	Prec@5 77.344 (75.417)
Epoch: [47][7490/14090]	Time 0.744 (0.764)	Data 0.001 (0.002)	Loss 2.2168 (2.1870)	Prec@1 44.531 (44.870)	Prec@5 70.312 (75.415)
Epoch: [47][7500/14090]	Time 0.731 (0.764)	Data 0.001 (0.002)	Loss 2.2023 (2.1870)	Prec@1 39.844 (44.869)	Prec@5 76.562 (75.414)
Epoch: [47][7510/14090]	Time 0.867 (0.764)	Data 0.001 (0.002)	Loss 2.2408 (2.1871)	Prec@1 42.969 (44.867)	Prec@5 78.125 (75.412)
Epoch: [47][7520/14090]	Time 0.759 (0.764)	Data 0.003 (0.002)	Loss 2.2539 (2.1871)	Prec@1 46.875 (44.868)	Prec@5 75.781 (75.414)
Epoch: [47][7530/14090]	Time 0.762 (0.764)	Data 0.001 (0.002)	Loss 2.1892 (2.1872)	Prec@1 48.438 (44.865)	Prec@5 75.000 (75.414)
Epoch: [47][7540/14090]	Time 0.757 (0.764)	Data 0.001 (0.002)	Loss 2.2893 (2.1873)	Prec@1 38.281 (44.863)	Prec@5 71.094 (75.412)
Epoch: [47][7550/14090]	Time 0.751 (0.764)	Data 0.001 (0.002)	Loss 2.0357 (2.1872)	Prec@1 48.438 (44.865)	Prec@5 77.344 (75.411)
Epoch: [47][7560/14090]	Time 0.728 (0.764)	Data 0.001 (0.002)	Loss 2.5151 (2.1873)	Prec@1 37.500 (44.862)	Prec@5 66.406 (75.409)
Epoch: [47][7570/14090]	Time 0.744 (0.764)	Data 0.001 (0.002)	Loss 2.3384 (2.1873)	Prec@1 37.500 (44.861)	Prec@5 73.438 (75.409)
Epoch: [47][7580/14090]	Time 0.843 (0.764)	Data 0.001 (0.002)	Loss 1.8659 (2.1872)	Prec@1 46.094 (44.861)	Prec@5 81.250 (75.411)
Epoch: [47][7590/14090]	Time 0.767 (0.764)	Data 0.001 (0.002)	Loss 2.2805 (2.1872)	Prec@1 45.312 (44.862)	Prec@5 74.219 (75.409)
Epoch: [47][7600/14090]	Time 0.749 (0.764)	Data 0.001 (0.002)	Loss 2.4126 (2.1872)	Prec@1 38.281 (44.863)	Prec@5 67.969 (75.410)
Epoch: [47][7610/14090]	Time 0.745 (0.764)	Data 0.002 (0.002)	Loss 2.4076 (2.1874)	Prec@1 37.500 (44.861)	Prec@5 71.875 (75.408)
Epoch: [47][7620/14090]	Time 0.751 (0.764)	Data 0.001 (0.002)	Loss 1.9998 (2.1875)	Prec@1 49.219 (44.858)	Prec@5 80.469 (75.406)
Epoch: [47][7630/14090]	Time 0.761 (0.764)	Data 0.001 (0.002)	Loss 2.2006 (2.1874)	Prec@1 46.094 (44.859)	Prec@5 71.875 (75.407)
Epoch: [47][7640/14090]	Time 0.755 (0.764)	Data 0.001 (0.002)	Loss 1.9739 (2.1874)	Prec@1 43.750 (44.859)	Prec@5 80.469 (75.409)
Epoch: [47][7650/14090]	Time 0.855 (0.764)	Data 0.001 (0.002)	Loss 2.0460 (2.1874)	Prec@1 43.750 (44.857)	Prec@5 78.125 (75.408)
Epoch: [47][7660/14090]	Time 0.743 (0.764)	Data 0.001 (0.002)	Loss 2.1869 (2.1874)	Prec@1 43.750 (44.857)	Prec@5 75.781 (75.406)
Epoch: [47][7670/14090]	Time 0.735 (0.764)	Data 0.001 (0.002)	Loss 2.1211 (2.1875)	Prec@1 44.531 (44.853)	Prec@5 76.562 (75.405)
Epoch: [47][7680/14090]	Time 0.761 (0.764)	Data 0.001 (0.002)	Loss 2.1571 (2.1875)	Prec@1 40.625 (44.853)	Prec@5 73.438 (75.406)
Epoch: [47][7690/14090]	Time 0.726 (0.764)	Data 0.003 (0.002)	Loss 2.4782 (2.1876)	Prec@1 40.625 (44.851)	Prec@5 70.312 (75.404)
Epoch: [47][7700/14090]	Time 0.759 (0.764)	Data 0.001 (0.002)	Loss 2.3291 (2.1876)	Prec@1 40.625 (44.848)	Prec@5 73.438 (75.402)
Epoch: [47][7710/14090]	Time 0.728 (0.764)	Data 0.001 (0.002)	Loss 2.2537 (2.1876)	Prec@1 45.312 (44.849)	Prec@5 80.469 (75.404)
Epoch: [47][7720/14090]	Time 0.906 (0.764)	Data 0.001 (0.002)	Loss 2.4664 (2.1876)	Prec@1 39.844 (44.849)	Prec@5 71.875 (75.404)
Epoch: [47][7730/14090]	Time 0.742 (0.764)	Data 0.001 (0.002)	Loss 2.1903 (2.1877)	Prec@1 45.312 (44.849)	Prec@5 70.312 (75.400)
Epoch: [47][7740/14090]	Time 0.745 (0.764)	Data 0.001 (0.002)	Loss 2.1896 (2.1877)	Prec@1 42.188 (44.847)	Prec@5 75.000 (75.399)
Epoch: [47][7750/14090]	Time 0.737 (0.764)	Data 0.002 (0.002)	Loss 2.4089 (2.1878)	Prec@1 42.188 (44.845)	Prec@5 71.875 (75.398)
Epoch: [47][7760/14090]	Time 0.762 (0.764)	Data 0.004 (0.002)	Loss 2.5509 (2.1880)	Prec@1 36.719 (44.843)	Prec@5 67.969 (75.395)
Epoch: [47][7770/14090]	Time 0.752 (0.764)	Data 0.001 (0.002)	Loss 2.1796 (2.1880)	Prec@1 50.000 (44.843)	Prec@5 75.000 (75.394)
Epoch: [47][7780/14090]	Time 0.725 (0.764)	Data 0.001 (0.002)	Loss 2.0565 (2.1880)	Prec@1 46.875 (44.846)	Prec@5 80.469 (75.394)
Epoch: [47][7790/14090]	Time 0.867 (0.764)	Data 0.001 (0.002)	Loss 2.2461 (2.1880)	Prec@1 47.656 (44.846)	Prec@5 73.438 (75.396)
Epoch: [47][7800/14090]	Time 0.752 (0.764)	Data 0.001 (0.002)	Loss 2.3542 (2.1880)	Prec@1 39.062 (44.847)	Prec@5 69.531 (75.394)
Epoch: [47][7810/14090]	Time 0.769 (0.764)	Data 0.001 (0.002)	Loss 2.1691 (2.1880)	Prec@1 50.000 (44.849)	Prec@5 72.656 (75.395)
Epoch: [47][7820/14090]	Time 0.761 (0.764)	Data 0.001 (0.002)	Loss 2.1345 (2.1881)	Prec@1 43.750 (44.846)	Prec@5 81.250 (75.393)
Epoch: [47][7830/14090]	Time 0.747 (0.764)	Data 0.001 (0.002)	Loss 2.2026 (2.1882)	Prec@1 46.094 (44.844)	Prec@5 74.219 (75.392)
Epoch: [47][7840/14090]	Time 0.768 (0.764)	Data 0.001 (0.002)	Loss 2.0679 (2.1882)	Prec@1 46.875 (44.845)	Prec@5 78.906 (75.393)
Epoch: [47][7850/14090]	Time 0.758 (0.764)	Data 0.001 (0.002)	Loss 2.3392 (2.1883)	Prec@1 35.938 (44.843)	Prec@5 76.562 (75.391)
Epoch: [47][7860/14090]	Time 0.893 (0.764)	Data 0.001 (0.002)	Loss 1.9297 (2.1884)	Prec@1 46.875 (44.842)	Prec@5 77.344 (75.389)
Epoch: [47][7870/14090]	Time 0.752 (0.764)	Data 0.001 (0.002)	Loss 2.1156 (2.1884)	Prec@1 45.312 (44.843)	Prec@5 77.344 (75.388)
Epoch: [47][7880/14090]	Time 0.732 (0.764)	Data 0.001 (0.002)	Loss 2.1436 (2.1884)	Prec@1 43.750 (44.846)	Prec@5 77.344 (75.388)
Epoch: [47][7890/14090]	Time 0.738 (0.764)	Data 0.001 (0.002)	Loss 2.3179 (2.1884)	Prec@1 47.656 (44.847)	Prec@5 68.750 (75.386)
Epoch: [47][7900/14090]	Time 0.778 (0.764)	Data 0.001 (0.002)	Loss 2.1834 (2.1884)	Prec@1 46.094 (44.847)	Prec@5 77.344 (75.384)
Epoch: [47][7910/14090]	Time 0.726 (0.764)	Data 0.001 (0.002)	Loss 2.3856 (2.1885)	Prec@1 44.531 (44.845)	Prec@5 74.219 (75.383)
Epoch: [47][7920/14090]	Time 0.741 (0.764)	Data 0.001 (0.002)	Loss 2.0344 (2.1886)	Prec@1 45.312 (44.844)	Prec@5 79.688 (75.381)
Epoch: [47][7930/14090]	Time 0.847 (0.764)	Data 0.001 (0.002)	Loss 2.0851 (2.1886)	Prec@1 45.312 (44.846)	Prec@5 75.000 (75.381)
Epoch: [47][7940/14090]	Time 0.720 (0.764)	Data 0.001 (0.002)	Loss 2.5659 (2.1888)	Prec@1 37.500 (44.844)	Prec@5 67.969 (75.378)
Epoch: [47][7950/14090]	Time 0.740 (0.764)	Data 0.001 (0.002)	Loss 2.0778 (2.1889)	Prec@1 44.531 (44.842)	Prec@5 71.094 (75.374)
Epoch: [47][7960/14090]	Time 0.729 (0.764)	Data 0.001 (0.002)	Loss 1.8361 (2.1889)	Prec@1 56.250 (44.841)	Prec@5 81.250 (75.375)
Epoch: [47][7970/14090]	Time 0.736 (0.764)	Data 0.001 (0.002)	Loss 2.1782 (2.1890)	Prec@1 49.219 (44.839)	Prec@5 78.906 (75.372)
Epoch: [47][7980/14090]	Time 0.729 (0.764)	Data 0.001 (0.002)	Loss 2.2180 (2.1891)	Prec@1 41.406 (44.837)	Prec@5 79.688 (75.371)
Epoch: [47][7990/14090]	Time 0.747 (0.764)	Data 0.001 (0.002)	Loss 2.1024 (2.1891)	Prec@1 43.750 (44.836)	Prec@5 78.125 (75.370)
Epoch: [47][8000/14090]	Time 0.896 (0.764)	Data 0.001 (0.002)	Loss 2.3892 (2.1891)	Prec@1 35.156 (44.834)	Prec@5 71.094 (75.370)
Epoch: [47][8010/14090]	Time 0.763 (0.764)	Data 0.001 (0.002)	Loss 2.1336 (2.1892)	Prec@1 44.531 (44.834)	Prec@5 74.219 (75.370)
Epoch: [47][8020/14090]	Time 0.758 (0.764)	Data 0.001 (0.002)	Loss 2.2897 (2.1891)	Prec@1 46.094 (44.833)	Prec@5 75.781 (75.369)
Epoch: [47][8030/14090]	Time 0.753 (0.764)	Data 0.001 (0.002)	Loss 2.2935 (2.1892)	Prec@1 40.625 (44.833)	Prec@5 74.219 (75.367)
Epoch: [47][8040/14090]	Time 0.755 (0.764)	Data 0.001 (0.002)	Loss 1.8560 (2.1891)	Prec@1 51.562 (44.835)	Prec@5 82.031 (75.370)
Epoch: [47][8050/14090]	Time 0.750 (0.764)	Data 0.001 (0.002)	Loss 2.2259 (2.1890)	Prec@1 42.969 (44.836)	Prec@5 74.219 (75.372)
Epoch: [47][8060/14090]	Time 0.744 (0.764)	Data 0.001 (0.002)	Loss 2.2672 (2.1890)	Prec@1 47.656 (44.837)	Prec@5 75.000 (75.371)
Epoch: [47][8070/14090]	Time 0.842 (0.764)	Data 0.001 (0.002)	Loss 2.1899 (2.1890)	Prec@1 46.094 (44.838)	Prec@5 74.219 (75.371)
Epoch: [47][8080/14090]	Time 0.730 (0.764)	Data 0.001 (0.002)	Loss 2.0940 (2.1888)	Prec@1 47.656 (44.843)	Prec@5 79.688 (75.374)
Epoch: [47][8090/14090]	Time 0.754 (0.764)	Data 0.001 (0.002)	Loss 2.2430 (2.1887)	Prec@1 40.625 (44.846)	Prec@5 71.875 (75.376)
Epoch: [47][8100/14090]	Time 0.747 (0.764)	Data 0.004 (0.002)	Loss 2.2813 (2.1886)	Prec@1 42.188 (44.848)	Prec@5 69.531 (75.377)
Epoch: [47][8110/14090]	Time 0.758 (0.764)	Data 0.005 (0.002)	Loss 2.2459 (2.1886)	Prec@1 44.531 (44.849)	Prec@5 74.219 (75.376)
Epoch: [47][8120/14090]	Time 0.745 (0.764)	Data 0.001 (0.002)	Loss 2.1570 (2.1887)	Prec@1 47.656 (44.848)	Prec@5 72.656 (75.376)
Epoch: [47][8130/14090]	Time 0.765 (0.764)	Data 0.001 (0.002)	Loss 2.3961 (2.1886)	Prec@1 42.969 (44.850)	Prec@5 72.656 (75.377)
Epoch: [47][8140/14090]	Time 0.834 (0.764)	Data 0.001 (0.002)	Loss 2.1350 (2.1886)	Prec@1 46.094 (44.849)	Prec@5 76.562 (75.376)
Epoch: [47][8150/14090]	Time 0.728 (0.764)	Data 0.001 (0.002)	Loss 2.2054 (2.1886)	Prec@1 45.312 (44.847)	Prec@5 73.438 (75.375)
Epoch: [47][8160/14090]	Time 0.743 (0.764)	Data 0.001 (0.002)	Loss 2.2188 (2.1886)	Prec@1 36.719 (44.846)	Prec@5 74.219 (75.375)
Epoch: [47][8170/14090]	Time 0.750 (0.764)	Data 0.001 (0.002)	Loss 2.0375 (2.1885)	Prec@1 50.000 (44.845)	Prec@5 74.219 (75.377)
Epoch: [47][8180/14090]	Time 0.732 (0.764)	Data 0.001 (0.002)	Loss 2.2033 (2.1885)	Prec@1 48.438 (44.849)	Prec@5 72.656 (75.379)
Epoch: [47][8190/14090]	Time 0.775 (0.764)	Data 0.001 (0.002)	Loss 2.2064 (2.1885)	Prec@1 43.750 (44.846)	Prec@5 75.781 (75.378)
Epoch: [47][8200/14090]	Time 0.740 (0.764)	Data 0.001 (0.002)	Loss 2.2542 (2.1884)	Prec@1 44.531 (44.849)	Prec@5 75.781 (75.380)
Epoch: [47][8210/14090]	Time 0.841 (0.764)	Data 0.001 (0.002)	Loss 2.1205 (2.1884)	Prec@1 46.094 (44.847)	Prec@5 77.344 (75.381)
Epoch: [47][8220/14090]	Time 0.752 (0.764)	Data 0.001 (0.002)	Loss 2.1158 (2.1884)	Prec@1 46.875 (44.846)	Prec@5 78.125 (75.381)
Epoch: [47][8230/14090]	Time 0.718 (0.764)	Data 0.002 (0.002)	Loss 2.1979 (2.1884)	Prec@1 40.625 (44.846)	Prec@5 77.344 (75.383)
Epoch: [47][8240/14090]	Time 0.765 (0.764)	Data 0.001 (0.002)	Loss 2.0096 (2.1884)	Prec@1 39.062 (44.847)	Prec@5 80.469 (75.381)
Epoch: [47][8250/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 2.0176 (2.1884)	Prec@1 48.438 (44.847)	Prec@5 78.906 (75.383)
Epoch: [47][8260/14090]	Time 0.734 (0.764)	Data 0.001 (0.001)	Loss 2.3796 (2.1885)	Prec@1 39.062 (44.844)	Prec@5 75.781 (75.381)
Epoch: [47][8270/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 2.2442 (2.1885)	Prec@1 39.844 (44.843)	Prec@5 75.000 (75.381)
Epoch: [47][8280/14090]	Time 0.878 (0.764)	Data 0.001 (0.001)	Loss 1.9715 (2.1884)	Prec@1 53.125 (44.845)	Prec@5 75.000 (75.381)
Epoch: [47][8290/14090]	Time 0.740 (0.764)	Data 0.001 (0.001)	Loss 2.1360 (2.1884)	Prec@1 49.219 (44.847)	Prec@5 82.812 (75.379)
Epoch: [47][8300/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 2.3398 (2.1884)	Prec@1 42.188 (44.847)	Prec@5 70.312 (75.379)
Epoch: [47][8310/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 2.2804 (2.1884)	Prec@1 46.094 (44.849)	Prec@5 75.781 (75.381)
Epoch: [47][8320/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 2.1480 (2.1884)	Prec@1 42.969 (44.850)	Prec@5 72.656 (75.380)
Epoch: [47][8330/14090]	Time 0.759 (0.764)	Data 0.001 (0.001)	Loss 2.1980 (2.1884)	Prec@1 42.969 (44.848)	Prec@5 75.781 (75.382)
Epoch: [47][8340/14090]	Time 0.773 (0.764)	Data 0.001 (0.001)	Loss 2.1882 (2.1885)	Prec@1 46.875 (44.847)	Prec@5 71.875 (75.381)
Epoch: [47][8350/14090]	Time 0.853 (0.764)	Data 0.001 (0.001)	Loss 2.2392 (2.1884)	Prec@1 46.094 (44.846)	Prec@5 77.344 (75.381)
Epoch: [47][8360/14090]	Time 0.725 (0.764)	Data 0.001 (0.001)	Loss 2.0971 (2.1885)	Prec@1 47.656 (44.845)	Prec@5 75.000 (75.381)
Epoch: [47][8370/14090]	Time 0.769 (0.764)	Data 0.001 (0.001)	Loss 2.2335 (2.1885)	Prec@1 42.969 (44.845)	Prec@5 74.219 (75.381)
Epoch: [47][8380/14090]	Time 0.743 (0.764)	Data 0.001 (0.001)	Loss 2.4602 (2.1885)	Prec@1 38.281 (44.846)	Prec@5 71.875 (75.379)
Epoch: [47][8390/14090]	Time 0.723 (0.764)	Data 0.001 (0.001)	Loss 2.2113 (2.1885)	Prec@1 50.000 (44.847)	Prec@5 75.000 (75.382)
Epoch: [47][8400/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 2.4713 (2.1886)	Prec@1 41.406 (44.846)	Prec@5 71.875 (75.380)
Epoch: [47][8410/14090]	Time 0.729 (0.764)	Data 0.001 (0.001)	Loss 1.9611 (2.1885)	Prec@1 44.531 (44.847)	Prec@5 78.906 (75.382)
Epoch: [47][8420/14090]	Time 0.861 (0.764)	Data 0.001 (0.001)	Loss 2.1087 (2.1885)	Prec@1 55.469 (44.848)	Prec@5 77.344 (75.381)
Epoch: [47][8430/14090]	Time 0.727 (0.764)	Data 0.001 (0.001)	Loss 2.3933 (2.1885)	Prec@1 38.281 (44.844)	Prec@5 70.312 (75.381)
Epoch: [47][8440/14090]	Time 0.746 (0.764)	Data 0.001 (0.001)	Loss 1.9030 (2.1884)	Prec@1 51.562 (44.844)	Prec@5 81.250 (75.381)
Epoch: [47][8450/14090]	Time 0.746 (0.764)	Data 0.001 (0.001)	Loss 2.1394 (2.1885)	Prec@1 45.312 (44.844)	Prec@5 78.906 (75.381)
Epoch: [47][8460/14090]	Time 0.748 (0.764)	Data 0.001 (0.001)	Loss 2.5695 (2.1884)	Prec@1 37.500 (44.847)	Prec@5 70.312 (75.381)
Epoch: [47][8470/14090]	Time 0.734 (0.764)	Data 0.001 (0.001)	Loss 2.3261 (2.1884)	Prec@1 43.750 (44.849)	Prec@5 74.219 (75.380)
Epoch: [47][8480/14090]	Time 0.736 (0.764)	Data 0.001 (0.001)	Loss 2.2843 (2.1885)	Prec@1 45.312 (44.847)	Prec@5 77.344 (75.380)
Epoch: [47][8490/14090]	Time 0.850 (0.764)	Data 0.001 (0.001)	Loss 2.3592 (2.1884)	Prec@1 44.531 (44.847)	Prec@5 71.875 (75.382)
Epoch: [47][8500/14090]	Time 0.743 (0.764)	Data 0.001 (0.001)	Loss 2.1556 (2.1885)	Prec@1 44.531 (44.847)	Prec@5 74.219 (75.382)
Epoch: [47][8510/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 2.2274 (2.1884)	Prec@1 44.531 (44.849)	Prec@5 73.438 (75.383)
Epoch: [47][8520/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 2.2484 (2.1883)	Prec@1 45.312 (44.852)	Prec@5 73.438 (75.384)
Epoch: [47][8530/14090]	Time 0.745 (0.764)	Data 0.001 (0.001)	Loss 2.0590 (2.1883)	Prec@1 42.969 (44.852)	Prec@5 75.781 (75.384)
Epoch: [47][8540/14090]	Time 0.746 (0.764)	Data 0.001 (0.001)	Loss 1.9470 (2.1883)	Prec@1 54.688 (44.854)	Prec@5 78.906 (75.384)
Epoch: [47][8550/14090]	Time 0.735 (0.764)	Data 0.001 (0.001)	Loss 2.0559 (2.1881)	Prec@1 46.094 (44.858)	Prec@5 78.906 (75.386)
Epoch: [47][8560/14090]	Time 0.889 (0.764)	Data 0.001 (0.001)	Loss 2.2763 (2.1882)	Prec@1 37.500 (44.854)	Prec@5 77.344 (75.385)
Epoch: [47][8570/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 2.0365 (2.1883)	Prec@1 53.125 (44.854)	Prec@5 76.562 (75.383)
Epoch: [47][8580/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 2.1404 (2.1882)	Prec@1 47.656 (44.854)	Prec@5 74.219 (75.383)
Epoch: [47][8590/14090]	Time 0.783 (0.764)	Data 0.001 (0.001)	Loss 2.2335 (2.1883)	Prec@1 46.094 (44.856)	Prec@5 76.562 (75.383)
Epoch: [47][8600/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.1829 (2.1882)	Prec@1 36.719 (44.857)	Prec@5 75.000 (75.384)
Epoch: [47][8610/14090]	Time 0.730 (0.764)	Data 0.001 (0.001)	Loss 2.0586 (2.1882)	Prec@1 50.000 (44.855)	Prec@5 76.562 (75.384)
Epoch: [47][8620/14090]	Time 0.746 (0.764)	Data 0.001 (0.001)	Loss 2.3364 (2.1882)	Prec@1 44.531 (44.857)	Prec@5 72.656 (75.384)
Epoch: [47][8630/14090]	Time 0.864 (0.764)	Data 0.001 (0.001)	Loss 2.2446 (2.1882)	Prec@1 39.844 (44.857)	Prec@5 71.094 (75.384)
Epoch: [47][8640/14090]	Time 0.743 (0.764)	Data 0.001 (0.001)	Loss 2.2061 (2.1882)	Prec@1 43.750 (44.858)	Prec@5 78.125 (75.386)
Epoch: [47][8650/14090]	Time 0.730 (0.764)	Data 0.001 (0.001)	Loss 2.0448 (2.1881)	Prec@1 50.781 (44.862)	Prec@5 77.344 (75.387)
Epoch: [47][8660/14090]	Time 0.782 (0.764)	Data 0.001 (0.001)	Loss 2.2023 (2.1880)	Prec@1 42.188 (44.864)	Prec@5 75.781 (75.388)
Epoch: [47][8670/14090]	Time 0.768 (0.764)	Data 0.001 (0.001)	Loss 2.3114 (2.1881)	Prec@1 39.844 (44.862)	Prec@5 75.781 (75.388)
Epoch: [47][8680/14090]	Time 0.761 (0.764)	Data 0.001 (0.001)	Loss 2.2080 (2.1880)	Prec@1 44.531 (44.862)	Prec@5 75.000 (75.388)
Epoch: [47][8690/14090]	Time 0.765 (0.764)	Data 0.001 (0.001)	Loss 2.5945 (2.1881)	Prec@1 37.500 (44.862)	Prec@5 68.750 (75.387)
Epoch: [47][8700/14090]	Time 0.845 (0.764)	Data 0.001 (0.001)	Loss 2.3970 (2.1881)	Prec@1 42.969 (44.862)	Prec@5 67.969 (75.388)
Epoch: [47][8710/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 2.2262 (2.1881)	Prec@1 48.438 (44.863)	Prec@5 74.219 (75.387)
Epoch: [47][8720/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 2.3728 (2.1881)	Prec@1 44.531 (44.863)	Prec@5 73.438 (75.387)
Epoch: [47][8730/14090]	Time 0.724 (0.764)	Data 0.001 (0.001)	Loss 1.8024 (2.1880)	Prec@1 51.562 (44.865)	Prec@5 83.594 (75.390)
Epoch: [47][8740/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 2.1825 (2.1881)	Prec@1 50.000 (44.864)	Prec@5 75.000 (75.388)
Epoch: [47][8750/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 2.2145 (2.1881)	Prec@1 50.000 (44.866)	Prec@5 78.906 (75.389)
Epoch: [47][8760/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 2.1810 (2.1881)	Prec@1 37.500 (44.865)	Prec@5 77.344 (75.388)
Epoch: [47][8770/14090]	Time 0.845 (0.764)	Data 0.001 (0.001)	Loss 2.2379 (2.1881)	Prec@1 40.625 (44.868)	Prec@5 71.875 (75.389)
Epoch: [47][8780/14090]	Time 0.723 (0.764)	Data 0.001 (0.001)	Loss 2.2024 (2.1882)	Prec@1 41.406 (44.866)	Prec@5 75.000 (75.386)
Epoch: [47][8790/14090]	Time 0.729 (0.764)	Data 0.001 (0.001)	Loss 2.0815 (2.1881)	Prec@1 46.875 (44.869)	Prec@5 75.781 (75.387)
Epoch: [47][8800/14090]	Time 0.743 (0.764)	Data 0.001 (0.001)	Loss 2.1735 (2.1881)	Prec@1 42.188 (44.868)	Prec@5 76.562 (75.390)
Epoch: [47][8810/14090]	Time 0.769 (0.764)	Data 0.001 (0.001)	Loss 1.7720 (2.1880)	Prec@1 50.781 (44.868)	Prec@5 86.719 (75.393)
Epoch: [47][8820/14090]	Time 0.758 (0.764)	Data 0.001 (0.001)	Loss 2.1313 (2.1879)	Prec@1 51.562 (44.871)	Prec@5 75.000 (75.395)
Epoch: [47][8830/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 2.1697 (2.1878)	Prec@1 41.406 (44.871)	Prec@5 72.656 (75.396)
Epoch: [47][8840/14090]	Time 0.833 (0.764)	Data 0.001 (0.001)	Loss 2.2787 (2.1879)	Prec@1 44.531 (44.870)	Prec@5 73.438 (75.395)
Epoch: [47][8850/14090]	Time 0.744 (0.764)	Data 0.001 (0.001)	Loss 2.1430 (2.1879)	Prec@1 44.531 (44.869)	Prec@5 75.000 (75.395)
Epoch: [47][8860/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 1.9685 (2.1880)	Prec@1 46.875 (44.869)	Prec@5 78.906 (75.394)
Epoch: [47][8870/14090]	Time 0.781 (0.764)	Data 0.001 (0.001)	Loss 2.0435 (2.1880)	Prec@1 46.094 (44.869)	Prec@5 75.000 (75.393)
Epoch: [47][8880/14090]	Time 0.760 (0.764)	Data 0.001 (0.001)	Loss 1.8753 (2.1880)	Prec@1 53.125 (44.869)	Prec@5 79.688 (75.395)
Epoch: [47][8890/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 2.1863 (2.1880)	Prec@1 42.969 (44.870)	Prec@5 75.781 (75.394)
Epoch: [47][8900/14090]	Time 0.745 (0.764)	Data 0.001 (0.001)	Loss 2.3224 (2.1881)	Prec@1 39.062 (44.868)	Prec@5 73.438 (75.392)
Epoch: [47][8910/14090]	Time 0.881 (0.764)	Data 0.001 (0.001)	Loss 2.4389 (2.1881)	Prec@1 42.969 (44.866)	Prec@5 70.312 (75.391)
Epoch: [47][8920/14090]	Time 0.732 (0.764)	Data 0.001 (0.001)	Loss 2.1700 (2.1881)	Prec@1 41.406 (44.866)	Prec@5 77.344 (75.393)
Epoch: [47][8930/14090]	Time 0.744 (0.764)	Data 0.001 (0.001)	Loss 2.0582 (2.1881)	Prec@1 46.875 (44.866)	Prec@5 79.688 (75.393)
Epoch: [47][8940/14090]	Time 0.788 (0.764)	Data 0.001 (0.001)	Loss 2.2669 (2.1881)	Prec@1 47.656 (44.866)	Prec@5 71.094 (75.392)
Epoch: [47][8950/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 1.9996 (2.1881)	Prec@1 52.344 (44.868)	Prec@5 82.812 (75.393)
Epoch: [47][8960/14090]	Time 0.727 (0.764)	Data 0.001 (0.001)	Loss 2.0762 (2.1881)	Prec@1 42.969 (44.869)	Prec@5 78.125 (75.392)
Epoch: [47][8970/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 2.4289 (2.1882)	Prec@1 36.719 (44.866)	Prec@5 69.531 (75.390)
Epoch: [47][8980/14090]	Time 0.878 (0.764)	Data 0.001 (0.001)	Loss 2.4632 (2.1882)	Prec@1 39.062 (44.867)	Prec@5 67.969 (75.390)
Epoch: [47][8990/14090]	Time 0.793 (0.764)	Data 0.001 (0.001)	Loss 2.2814 (2.1883)	Prec@1 41.406 (44.864)	Prec@5 74.219 (75.387)
Epoch: [47][9000/14090]	Time 0.767 (0.764)	Data 0.001 (0.001)	Loss 2.2763 (2.1884)	Prec@1 42.188 (44.862)	Prec@5 67.969 (75.385)
Epoch: [47][9010/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.1147 (2.1885)	Prec@1 49.219 (44.862)	Prec@5 72.656 (75.381)
Epoch: [47][9020/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 2.2250 (2.1885)	Prec@1 42.969 (44.862)	Prec@5 76.562 (75.382)
Epoch: [47][9030/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 2.3077 (2.1886)	Prec@1 42.188 (44.859)	Prec@5 71.875 (75.381)
Epoch: [47][9040/14090]	Time 0.758 (0.764)	Data 0.001 (0.001)	Loss 1.8779 (2.1885)	Prec@1 48.438 (44.859)	Prec@5 77.344 (75.383)
Epoch: [47][9050/14090]	Time 0.857 (0.764)	Data 0.001 (0.001)	Loss 2.0193 (2.1885)	Prec@1 51.562 (44.860)	Prec@5 78.125 (75.385)
Epoch: [47][9060/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 1.9103 (2.1885)	Prec@1 53.125 (44.861)	Prec@5 84.375 (75.386)
Epoch: [47][9070/14090]	Time 0.746 (0.764)	Data 0.001 (0.001)	Loss 2.1633 (2.1884)	Prec@1 46.094 (44.861)	Prec@5 75.000 (75.386)
Epoch: [47][9080/14090]	Time 0.766 (0.764)	Data 0.001 (0.001)	Loss 2.4037 (2.1885)	Prec@1 38.281 (44.860)	Prec@5 74.219 (75.385)
Epoch: [47][9090/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 1.9453 (2.1885)	Prec@1 51.562 (44.859)	Prec@5 80.469 (75.386)
Epoch: [47][9100/14090]	Time 0.721 (0.764)	Data 0.001 (0.001)	Loss 2.3330 (2.1885)	Prec@1 42.969 (44.859)	Prec@5 78.125 (75.387)
Epoch: [47][9110/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 2.1993 (2.1885)	Prec@1 47.656 (44.858)	Prec@5 74.219 (75.385)
Epoch: [47][9120/14090]	Time 0.870 (0.764)	Data 0.001 (0.001)	Loss 2.2715 (2.1885)	Prec@1 47.656 (44.858)	Prec@5 73.438 (75.385)
Epoch: [47][9130/14090]	Time 0.734 (0.764)	Data 0.001 (0.001)	Loss 2.1338 (2.1885)	Prec@1 42.188 (44.856)	Prec@5 77.344 (75.384)
Epoch: [47][9140/14090]	Time 0.745 (0.764)	Data 0.001 (0.001)	Loss 2.0133 (2.1884)	Prec@1 48.438 (44.857)	Prec@5 79.688 (75.384)
Epoch: [47][9150/14090]	Time 0.765 (0.764)	Data 0.001 (0.001)	Loss 2.2710 (2.1885)	Prec@1 41.406 (44.856)	Prec@5 73.438 (75.384)
Epoch: [47][9160/14090]	Time 0.774 (0.764)	Data 0.001 (0.001)	Loss 2.3641 (2.1886)	Prec@1 42.969 (44.855)	Prec@5 71.094 (75.384)
Epoch: [47][9170/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 2.1399 (2.1886)	Prec@1 43.750 (44.854)	Prec@5 76.562 (75.384)
Epoch: [47][9180/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 2.2914 (2.1887)	Prec@1 37.500 (44.852)	Prec@5 71.875 (75.382)
Epoch: [47][9190/14090]	Time 0.890 (0.764)	Data 0.001 (0.001)	Loss 2.4772 (2.1887)	Prec@1 37.500 (44.851)	Prec@5 67.969 (75.382)
Epoch: [47][9200/14090]	Time 0.743 (0.764)	Data 0.001 (0.001)	Loss 2.2909 (2.1888)	Prec@1 43.750 (44.850)	Prec@5 70.312 (75.380)
Epoch: [47][9210/14090]	Time 0.776 (0.764)	Data 0.001 (0.001)	Loss 2.1793 (2.1890)	Prec@1 41.406 (44.848)	Prec@5 75.781 (75.377)
Epoch: [47][9220/14090]	Time 0.739 (0.764)	Data 0.001 (0.001)	Loss 2.3792 (2.1890)	Prec@1 39.844 (44.848)	Prec@5 71.875 (75.378)
Epoch: [47][9230/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 2.1963 (2.1889)	Prec@1 45.312 (44.848)	Prec@5 75.000 (75.379)
Epoch: [47][9240/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 2.1662 (2.1889)	Prec@1 50.781 (44.850)	Prec@5 74.219 (75.378)
Epoch: [47][9250/14090]	Time 0.766 (0.764)	Data 0.001 (0.001)	Loss 2.4012 (2.1890)	Prec@1 43.750 (44.850)	Prec@5 65.625 (75.377)
Epoch: [47][9260/14090]	Time 0.864 (0.764)	Data 0.001 (0.001)	Loss 2.0471 (2.1890)	Prec@1 52.344 (44.849)	Prec@5 72.656 (75.377)
Epoch: [47][9270/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 2.2618 (2.1890)	Prec@1 45.312 (44.850)	Prec@5 75.781 (75.377)
Epoch: [47][9280/14090]	Time 0.758 (0.764)	Data 0.001 (0.001)	Loss 2.3016 (2.1891)	Prec@1 42.188 (44.848)	Prec@5 76.562 (75.375)
Epoch: [47][9290/14090]	Time 0.769 (0.764)	Data 0.001 (0.001)	Loss 2.2041 (2.1891)	Prec@1 43.750 (44.847)	Prec@5 74.219 (75.375)
Epoch: [47][9300/14090]	Time 0.777 (0.764)	Data 0.001 (0.001)	Loss 2.1905 (2.1892)	Prec@1 43.750 (44.846)	Prec@5 78.906 (75.373)
Epoch: [47][9310/14090]	Time 0.748 (0.764)	Data 0.001 (0.001)	Loss 2.1017 (2.1892)	Prec@1 48.438 (44.847)	Prec@5 78.125 (75.373)
Epoch: [47][9320/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 2.2308 (2.1891)	Prec@1 43.750 (44.848)	Prec@5 71.875 (75.374)
Epoch: [47][9330/14090]	Time 0.877 (0.764)	Data 0.001 (0.001)	Loss 2.2376 (2.1890)	Prec@1 42.969 (44.848)	Prec@5 74.219 (75.377)
Epoch: [47][9340/14090]	Time 0.762 (0.764)	Data 0.001 (0.001)	Loss 2.0719 (2.1890)	Prec@1 46.094 (44.849)	Prec@5 81.250 (75.379)
Epoch: [47][9350/14090]	Time 0.725 (0.764)	Data 0.001 (0.001)	Loss 2.0537 (2.1890)	Prec@1 46.875 (44.845)	Prec@5 74.219 (75.377)
Epoch: [47][9360/14090]	Time 0.771 (0.764)	Data 0.001 (0.001)	Loss 2.1110 (2.1891)	Prec@1 46.094 (44.844)	Prec@5 75.781 (75.376)
Epoch: [47][9370/14090]	Time 0.745 (0.764)	Data 0.001 (0.001)	Loss 2.2687 (2.1891)	Prec@1 42.969 (44.843)	Prec@5 71.875 (75.375)
Epoch: [47][9380/14090]	Time 0.739 (0.764)	Data 0.001 (0.001)	Loss 2.0507 (2.1891)	Prec@1 48.438 (44.842)	Prec@5 77.344 (75.375)
Epoch: [47][9390/14090]	Time 0.735 (0.764)	Data 0.001 (0.001)	Loss 1.9920 (2.1892)	Prec@1 50.781 (44.841)	Prec@5 76.562 (75.374)
Epoch: [47][9400/14090]	Time 0.861 (0.764)	Data 0.001 (0.001)	Loss 2.1089 (2.1891)	Prec@1 46.094 (44.842)	Prec@5 76.562 (75.376)
Epoch: [47][9410/14090]	Time 0.733 (0.764)	Data 0.001 (0.001)	Loss 2.1737 (2.1892)	Prec@1 48.438 (44.841)	Prec@5 76.562 (75.375)
Epoch: [47][9420/14090]	Time 0.732 (0.764)	Data 0.001 (0.001)	Loss 2.4166 (2.1893)	Prec@1 40.625 (44.840)	Prec@5 71.094 (75.375)
Epoch: [47][9430/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.1293 (2.1893)	Prec@1 43.750 (44.839)	Prec@5 74.219 (75.376)
Epoch: [47][9440/14090]	Time 0.770 (0.764)	Data 0.001 (0.001)	Loss 2.3062 (2.1894)	Prec@1 42.188 (44.839)	Prec@5 68.750 (75.374)
Epoch: [47][9450/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 2.3781 (2.1895)	Prec@1 42.969 (44.837)	Prec@5 72.656 (75.372)
Epoch: [47][9460/14090]	Time 0.739 (0.764)	Data 0.001 (0.001)	Loss 2.3138 (2.1895)	Prec@1 42.188 (44.835)	Prec@5 69.531 (75.371)
Epoch: [47][9470/14090]	Time 0.861 (0.764)	Data 0.001 (0.001)	Loss 2.0044 (2.1895)	Prec@1 46.875 (44.835)	Prec@5 75.781 (75.371)
Epoch: [47][9480/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 2.0849 (2.1894)	Prec@1 48.438 (44.834)	Prec@5 79.688 (75.373)
Epoch: [47][9490/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 2.0952 (2.1895)	Prec@1 47.656 (44.833)	Prec@5 78.125 (75.373)
Epoch: [47][9500/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 2.1298 (2.1894)	Prec@1 46.875 (44.832)	Prec@5 75.000 (75.374)
Epoch: [47][9510/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 2.0876 (2.1895)	Prec@1 49.219 (44.831)	Prec@5 75.781 (75.373)
Epoch: [47][9520/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 2.6536 (2.1895)	Prec@1 41.406 (44.832)	Prec@5 65.625 (75.372)
Epoch: [47][9530/14090]	Time 0.724 (0.764)	Data 0.001 (0.001)	Loss 2.2792 (2.1896)	Prec@1 47.656 (44.831)	Prec@5 75.781 (75.372)
Epoch: [47][9540/14090]	Time 0.820 (0.764)	Data 0.001 (0.001)	Loss 2.3695 (2.1895)	Prec@1 43.750 (44.832)	Prec@5 75.781 (75.374)
Epoch: [47][9550/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 2.0107 (2.1895)	Prec@1 50.000 (44.833)	Prec@5 78.906 (75.374)
Epoch: [47][9560/14090]	Time 0.798 (0.764)	Data 0.001 (0.001)	Loss 2.1406 (2.1895)	Prec@1 43.750 (44.833)	Prec@5 78.906 (75.374)
Epoch: [47][9570/14090]	Time 0.732 (0.764)	Data 0.001 (0.001)	Loss 2.5912 (2.1896)	Prec@1 42.188 (44.831)	Prec@5 70.312 (75.373)
Epoch: [47][9580/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 2.1912 (2.1895)	Prec@1 43.750 (44.834)	Prec@5 78.125 (75.375)
Epoch: [47][9590/14090]	Time 0.746 (0.764)	Data 0.001 (0.001)	Loss 1.9403 (2.1895)	Prec@1 48.438 (44.833)	Prec@5 82.031 (75.375)
Epoch: [47][9600/14090]	Time 0.769 (0.764)	Data 0.001 (0.001)	Loss 1.8271 (2.1895)	Prec@1 52.344 (44.834)	Prec@5 84.375 (75.375)
Epoch: [47][9610/14090]	Time 0.882 (0.764)	Data 0.001 (0.001)	Loss 2.3116 (2.1895)	Prec@1 41.406 (44.835)	Prec@5 67.969 (75.377)
Epoch: [47][9620/14090]	Time 0.732 (0.764)	Data 0.001 (0.001)	Loss 2.1471 (2.1895)	Prec@1 42.188 (44.834)	Prec@5 78.906 (75.376)
Epoch: [47][9630/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 2.2542 (2.1895)	Prec@1 42.969 (44.833)	Prec@5 74.219 (75.376)
Epoch: [47][9640/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 2.0065 (2.1895)	Prec@1 50.781 (44.833)	Prec@5 78.125 (75.375)
Epoch: [47][9650/14090]	Time 0.748 (0.764)	Data 0.001 (0.001)	Loss 2.0134 (2.1895)	Prec@1 47.656 (44.834)	Prec@5 77.344 (75.376)
Epoch: [47][9660/14090]	Time 0.728 (0.764)	Data 0.001 (0.001)	Loss 2.3414 (2.1895)	Prec@1 43.750 (44.836)	Prec@5 75.781 (75.377)
Epoch: [47][9670/14090]	Time 0.760 (0.764)	Data 0.001 (0.001)	Loss 2.0075 (2.1893)	Prec@1 47.656 (44.837)	Prec@5 78.906 (75.380)
Epoch: [47][9680/14090]	Time 0.846 (0.764)	Data 0.001 (0.001)	Loss 2.5123 (2.1893)	Prec@1 31.250 (44.835)	Prec@5 72.656 (75.382)
Epoch: [47][9690/14090]	Time 0.726 (0.764)	Data 0.001 (0.001)	Loss 2.1852 (2.1894)	Prec@1 39.844 (44.832)	Prec@5 79.688 (75.382)
Epoch: [47][9700/14090]	Time 0.730 (0.764)	Data 0.001 (0.001)	Loss 2.4577 (2.1894)	Prec@1 37.500 (44.831)	Prec@5 69.531 (75.381)
Epoch: [47][9710/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 2.2670 (2.1894)	Prec@1 41.406 (44.830)	Prec@5 74.219 (75.381)
Epoch: [47][9720/14090]	Time 0.740 (0.764)	Data 0.001 (0.001)	Loss 2.2953 (2.1894)	Prec@1 46.875 (44.831)	Prec@5 71.094 (75.382)
Epoch: [47][9730/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 2.4513 (2.1894)	Prec@1 44.531 (44.830)	Prec@5 71.094 (75.382)
Epoch: [47][9740/14090]	Time 0.748 (0.764)	Data 0.001 (0.001)	Loss 1.8867 (2.1895)	Prec@1 55.469 (44.830)	Prec@5 78.906 (75.381)
Epoch: [47][9750/14090]	Time 0.812 (0.764)	Data 0.001 (0.001)	Loss 2.4267 (2.1895)	Prec@1 46.094 (44.828)	Prec@5 73.438 (75.382)
Epoch: [47][9760/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 1.9091 (2.1895)	Prec@1 48.438 (44.830)	Prec@5 82.812 (75.382)
Epoch: [47][9770/14090]	Time 0.783 (0.764)	Data 0.001 (0.001)	Loss 2.1150 (2.1895)	Prec@1 44.531 (44.828)	Prec@5 76.562 (75.383)
Epoch: [47][9780/14090]	Time 0.725 (0.764)	Data 0.001 (0.001)	Loss 2.2708 (2.1894)	Prec@1 42.188 (44.828)	Prec@5 73.438 (75.385)
Epoch: [47][9790/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 1.9427 (2.1894)	Prec@1 49.219 (44.828)	Prec@5 81.250 (75.383)
Epoch: [47][9800/14090]	Time 0.763 (0.764)	Data 0.001 (0.001)	Loss 2.1874 (2.1894)	Prec@1 41.406 (44.830)	Prec@5 76.562 (75.385)
Epoch: [47][9810/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 2.1235 (2.1894)	Prec@1 48.438 (44.830)	Prec@5 75.000 (75.385)
Epoch: [47][9820/14090]	Time 0.847 (0.764)	Data 0.001 (0.001)	Loss 2.1574 (2.1894)	Prec@1 48.438 (44.830)	Prec@5 78.906 (75.385)
Epoch: [47][9830/14090]	Time 0.722 (0.764)	Data 0.001 (0.001)	Loss 2.3617 (2.1893)	Prec@1 38.281 (44.829)	Prec@5 72.656 (75.387)
Epoch: [47][9840/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 2.3897 (2.1894)	Prec@1 42.188 (44.826)	Prec@5 76.562 (75.386)
Epoch: [47][9850/14090]	Time 0.775 (0.764)	Data 0.001 (0.001)	Loss 2.3655 (2.1893)	Prec@1 32.031 (44.827)	Prec@5 72.656 (75.386)
Epoch: [47][9860/14090]	Time 0.740 (0.764)	Data 0.001 (0.001)	Loss 1.9623 (2.1893)	Prec@1 49.219 (44.829)	Prec@5 76.562 (75.388)
Epoch: [47][9870/14090]	Time 0.733 (0.764)	Data 0.001 (0.001)	Loss 1.7357 (2.1892)	Prec@1 63.281 (44.831)	Prec@5 82.031 (75.391)
Epoch: [47][9880/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 2.0875 (2.1892)	Prec@1 44.531 (44.830)	Prec@5 78.906 (75.390)
Epoch: [47][9890/14090]	Time 0.863 (0.764)	Data 0.001 (0.001)	Loss 2.1541 (2.1892)	Prec@1 48.438 (44.830)	Prec@5 75.781 (75.389)
Epoch: [47][9900/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 2.4894 (2.1892)	Prec@1 34.375 (44.830)	Prec@5 70.312 (75.388)
Epoch: [47][9910/14090]	Time 0.765 (0.764)	Data 0.001 (0.001)	Loss 2.3337 (2.1893)	Prec@1 43.750 (44.828)	Prec@5 71.875 (75.386)
Epoch: [47][9920/14090]	Time 0.733 (0.764)	Data 0.001 (0.001)	Loss 2.0780 (2.1894)	Prec@1 50.000 (44.827)	Prec@5 77.344 (75.385)
Epoch: [47][9930/14090]	Time 0.748 (0.764)	Data 0.001 (0.001)	Loss 2.1148 (2.1894)	Prec@1 45.312 (44.826)	Prec@5 73.438 (75.384)
Epoch: [47][9940/14090]	Time 0.725 (0.764)	Data 0.001 (0.001)	Loss 2.0481 (2.1893)	Prec@1 45.312 (44.825)	Prec@5 78.125 (75.384)
Epoch: [47][9950/14090]	Time 0.759 (0.764)	Data 0.001 (0.001)	Loss 2.1647 (2.1894)	Prec@1 46.875 (44.825)	Prec@5 76.562 (75.383)
Epoch: [47][9960/14090]	Time 0.904 (0.764)	Data 0.001 (0.001)	Loss 1.9024 (2.1894)	Prec@1 48.438 (44.824)	Prec@5 83.594 (75.384)
Epoch: [47][9970/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 2.0178 (2.1894)	Prec@1 45.312 (44.823)	Prec@5 80.469 (75.385)
Epoch: [47][9980/14090]	Time 0.748 (0.764)	Data 0.001 (0.001)	Loss 2.2090 (2.1894)	Prec@1 46.094 (44.823)	Prec@5 74.219 (75.385)
Epoch: [47][9990/14090]	Time 0.770 (0.764)	Data 0.001 (0.001)	Loss 2.3513 (2.1894)	Prec@1 40.625 (44.821)	Prec@5 71.875 (75.383)
Epoch: [47][10000/14090]	Time 0.759 (0.764)	Data 0.001 (0.001)	Loss 2.1891 (2.1893)	Prec@1 36.719 (44.821)	Prec@5 69.531 (75.383)
Epoch: [47][10010/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 2.2970 (2.1893)	Prec@1 40.625 (44.820)	Prec@5 72.656 (75.384)
Epoch: [47][10020/14090]	Time 0.736 (0.764)	Data 0.001 (0.001)	Loss 2.0988 (2.1895)	Prec@1 46.094 (44.819)	Prec@5 75.781 (75.381)
Epoch: [47][10030/14090]	Time 0.853 (0.764)	Data 0.001 (0.001)	Loss 2.1386 (2.1895)	Prec@1 50.781 (44.820)	Prec@5 76.562 (75.381)
Epoch: [47][10040/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 2.4395 (2.1896)	Prec@1 41.406 (44.819)	Prec@5 75.000 (75.379)
Epoch: [47][10050/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.1322 (2.1896)	Prec@1 45.312 (44.818)	Prec@5 76.562 (75.379)
Epoch: [47][10060/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 2.1883 (2.1896)	Prec@1 42.969 (44.816)	Prec@5 72.656 (75.378)
Epoch: [47][10070/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.4645 (2.1897)	Prec@1 42.969 (44.814)	Prec@5 69.531 (75.376)
Epoch: [47][10080/14090]	Time 0.727 (0.764)	Data 0.001 (0.001)	Loss 2.2209 (2.1897)	Prec@1 42.188 (44.813)	Prec@5 76.562 (75.378)
Epoch: [47][10090/14090]	Time 0.745 (0.764)	Data 0.001 (0.001)	Loss 2.0399 (2.1896)	Prec@1 45.312 (44.814)	Prec@5 78.125 (75.381)
Epoch: [47][10100/14090]	Time 0.893 (0.764)	Data 0.001 (0.001)	Loss 2.2104 (2.1895)	Prec@1 45.312 (44.815)	Prec@5 72.656 (75.381)
Epoch: [47][10110/14090]	Time 0.763 (0.764)	Data 0.001 (0.001)	Loss 2.1118 (2.1895)	Prec@1 53.125 (44.815)	Prec@5 77.344 (75.380)
Epoch: [47][10120/14090]	Time 0.768 (0.764)	Data 0.001 (0.001)	Loss 1.8890 (2.1894)	Prec@1 51.562 (44.816)	Prec@5 78.906 (75.382)
Epoch: [47][10130/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 2.1579 (2.1894)	Prec@1 50.781 (44.817)	Prec@5 73.438 (75.383)
Epoch: [47][10140/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 2.5049 (2.1895)	Prec@1 42.188 (44.816)	Prec@5 70.312 (75.383)
Epoch: [47][10150/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 2.0537 (2.1894)	Prec@1 46.875 (44.818)	Prec@5 76.562 (75.383)
Epoch: [47][10160/14090]	Time 0.744 (0.764)	Data 0.001 (0.001)	Loss 2.2253 (2.1894)	Prec@1 40.625 (44.819)	Prec@5 76.562 (75.383)
Epoch: [47][10170/14090]	Time 0.886 (0.764)	Data 0.001 (0.001)	Loss 2.1822 (2.1894)	Prec@1 53.906 (44.818)	Prec@5 73.438 (75.384)
Epoch: [47][10180/14090]	Time 0.735 (0.764)	Data 0.001 (0.001)	Loss 2.1897 (2.1894)	Prec@1 43.750 (44.819)	Prec@5 78.125 (75.386)
Epoch: [47][10190/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 2.2860 (2.1894)	Prec@1 44.531 (44.817)	Prec@5 71.094 (75.386)
Epoch: [47][10200/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 2.3107 (2.1894)	Prec@1 45.312 (44.817)	Prec@5 75.000 (75.385)
Epoch: [47][10210/14090]	Time 0.761 (0.764)	Data 0.001 (0.001)	Loss 2.0063 (2.1894)	Prec@1 52.344 (44.817)	Prec@5 79.688 (75.385)
Epoch: [47][10220/14090]	Time 0.764 (0.764)	Data 0.001 (0.001)	Loss 2.1877 (2.1894)	Prec@1 46.875 (44.819)	Prec@5 77.344 (75.386)
Epoch: [47][10230/14090]	Time 0.729 (0.764)	Data 0.001 (0.001)	Loss 2.0253 (2.1893)	Prec@1 44.531 (44.819)	Prec@5 80.469 (75.388)
Epoch: [47][10240/14090]	Time 0.874 (0.764)	Data 0.001 (0.001)	Loss 2.0218 (2.1892)	Prec@1 42.188 (44.819)	Prec@5 79.688 (75.389)
Epoch: [47][10250/14090]	Time 0.732 (0.764)	Data 0.001 (0.001)	Loss 2.1864 (2.1893)	Prec@1 42.969 (44.818)	Prec@5 76.562 (75.390)
Epoch: [47][10260/14090]	Time 0.732 (0.764)	Data 0.001 (0.001)	Loss 2.2682 (2.1893)	Prec@1 39.844 (44.816)	Prec@5 71.875 (75.389)
Epoch: [47][10270/14090]	Time 0.733 (0.764)	Data 0.001 (0.001)	Loss 2.5100 (2.1893)	Prec@1 43.750 (44.817)	Prec@5 67.188 (75.387)
Epoch: [47][10280/14090]	Time 0.736 (0.764)	Data 0.001 (0.001)	Loss 1.9051 (2.1892)	Prec@1 50.781 (44.819)	Prec@5 82.812 (75.389)
Epoch: [47][10290/14090]	Time 0.748 (0.764)	Data 0.001 (0.001)	Loss 2.2800 (2.1893)	Prec@1 39.062 (44.818)	Prec@5 71.094 (75.389)
Epoch: [47][10300/14090]	Time 0.719 (0.764)	Data 0.001 (0.001)	Loss 2.4513 (2.1893)	Prec@1 42.188 (44.818)	Prec@5 73.438 (75.388)
Epoch: [47][10310/14090]	Time 0.861 (0.764)	Data 0.001 (0.001)	Loss 2.3611 (2.1893)	Prec@1 40.625 (44.818)	Prec@5 73.438 (75.388)
Epoch: [47][10320/14090]	Time 0.739 (0.764)	Data 0.001 (0.001)	Loss 2.4688 (2.1893)	Prec@1 35.938 (44.816)	Prec@5 71.875 (75.389)
Epoch: [47][10330/14090]	Time 0.767 (0.764)	Data 0.001 (0.001)	Loss 2.1538 (2.1892)	Prec@1 43.750 (44.818)	Prec@5 75.000 (75.390)
Epoch: [47][10340/14090]	Time 0.727 (0.764)	Data 0.001 (0.001)	Loss 2.3136 (2.1892)	Prec@1 41.406 (44.819)	Prec@5 66.406 (75.388)
Epoch: [47][10350/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.1779 (2.1892)	Prec@1 46.094 (44.819)	Prec@5 74.219 (75.388)
Epoch: [47][10360/14090]	Time 0.782 (0.764)	Data 0.001 (0.001)	Loss 2.3347 (2.1892)	Prec@1 44.531 (44.818)	Prec@5 74.219 (75.389)
Epoch: [47][10370/14090]	Time 0.725 (0.764)	Data 0.001 (0.001)	Loss 2.4373 (2.1893)	Prec@1 39.062 (44.817)	Prec@5 67.969 (75.388)
Epoch: [47][10380/14090]	Time 0.844 (0.764)	Data 0.001 (0.001)	Loss 2.4970 (2.1893)	Prec@1 35.938 (44.817)	Prec@5 74.219 (75.389)
Epoch: [47][10390/14090]	Time 0.723 (0.764)	Data 0.001 (0.001)	Loss 1.8394 (2.1892)	Prec@1 55.469 (44.817)	Prec@5 81.250 (75.390)
Epoch: [47][10400/14090]	Time 0.733 (0.764)	Data 0.001 (0.001)	Loss 2.0616 (2.1892)	Prec@1 46.875 (44.817)	Prec@5 77.344 (75.390)
Epoch: [47][10410/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 2.4568 (2.1892)	Prec@1 39.062 (44.816)	Prec@5 72.656 (75.391)
Epoch: [47][10420/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 2.0016 (2.1892)	Prec@1 46.875 (44.816)	Prec@5 79.688 (75.391)
Epoch: [47][10430/14090]	Time 0.740 (0.764)	Data 0.001 (0.001)	Loss 2.2006 (2.1892)	Prec@1 46.094 (44.815)	Prec@5 76.562 (75.392)
Epoch: [47][10440/14090]	Time 0.761 (0.764)	Data 0.001 (0.001)	Loss 2.3460 (2.1892)	Prec@1 40.625 (44.814)	Prec@5 71.094 (75.391)
Epoch: [47][10450/14090]	Time 0.828 (0.764)	Data 0.001 (0.001)	Loss 2.3256 (2.1891)	Prec@1 46.094 (44.815)	Prec@5 76.562 (75.393)
Epoch: [47][10460/14090]	Time 0.735 (0.764)	Data 0.001 (0.001)	Loss 2.4016 (2.1891)	Prec@1 42.969 (44.817)	Prec@5 71.094 (75.395)
Epoch: [47][10470/14090]	Time 0.745 (0.764)	Data 0.001 (0.001)	Loss 2.1902 (2.1892)	Prec@1 39.844 (44.814)	Prec@5 75.000 (75.393)
Epoch: [47][10480/14090]	Time 0.727 (0.764)	Data 0.001 (0.001)	Loss 2.0428 (2.1892)	Prec@1 50.000 (44.813)	Prec@5 76.562 (75.391)
Epoch: [47][10490/14090]	Time 0.766 (0.764)	Data 0.001 (0.001)	Loss 2.0949 (2.1891)	Prec@1 42.969 (44.815)	Prec@5 79.688 (75.392)
Epoch: [47][10500/14090]	Time 0.760 (0.764)	Data 0.001 (0.001)	Loss 2.4340 (2.1891)	Prec@1 36.719 (44.815)	Prec@5 71.875 (75.393)
Epoch: [47][10510/14090]	Time 0.775 (0.764)	Data 0.001 (0.001)	Loss 2.1775 (2.1891)	Prec@1 47.656 (44.817)	Prec@5 76.562 (75.394)
Epoch: [47][10520/14090]	Time 0.905 (0.764)	Data 0.001 (0.001)	Loss 2.4622 (2.1891)	Prec@1 35.156 (44.816)	Prec@5 70.312 (75.393)
Epoch: [47][10530/14090]	Time 0.746 (0.764)	Data 0.001 (0.001)	Loss 2.4121 (2.1891)	Prec@1 40.625 (44.816)	Prec@5 71.875 (75.392)
Epoch: [47][10540/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 2.0933 (2.1891)	Prec@1 42.188 (44.813)	Prec@5 79.688 (75.392)
Epoch: [47][10550/14090]	Time 0.762 (0.764)	Data 0.001 (0.001)	Loss 2.3166 (2.1891)	Prec@1 39.062 (44.814)	Prec@5 72.656 (75.392)
Epoch: [47][10560/14090]	Time 0.734 (0.764)	Data 0.001 (0.001)	Loss 2.2626 (2.1891)	Prec@1 42.969 (44.815)	Prec@5 76.562 (75.393)
Epoch: [47][10570/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.3089 (2.1891)	Prec@1 42.969 (44.817)	Prec@5 75.781 (75.395)
Epoch: [47][10580/14090]	Time 0.723 (0.764)	Data 0.001 (0.001)	Loss 2.1537 (2.1891)	Prec@1 43.750 (44.815)	Prec@5 76.562 (75.395)
Epoch: [47][10590/14090]	Time 0.834 (0.764)	Data 0.001 (0.001)	Loss 2.1032 (2.1891)	Prec@1 52.344 (44.814)	Prec@5 78.906 (75.396)
Epoch: [47][10600/14090]	Time 0.739 (0.764)	Data 0.001 (0.001)	Loss 2.0023 (2.1891)	Prec@1 46.875 (44.815)	Prec@5 76.562 (75.396)
Epoch: [47][10610/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 1.9296 (2.1890)	Prec@1 50.781 (44.816)	Prec@5 85.156 (75.398)
Epoch: [47][10620/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 2.1351 (2.1890)	Prec@1 40.625 (44.816)	Prec@5 81.250 (75.398)
Epoch: [47][10630/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 2.1136 (2.1889)	Prec@1 50.000 (44.818)	Prec@5 77.344 (75.398)
Epoch: [47][10640/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 2.0052 (2.1889)	Prec@1 49.219 (44.818)	Prec@5 75.781 (75.397)
Epoch: [47][10650/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 2.2326 (2.1889)	Prec@1 42.969 (44.819)	Prec@5 78.906 (75.398)
Epoch: [47][10660/14090]	Time 0.865 (0.764)	Data 0.001 (0.001)	Loss 1.9963 (2.1888)	Prec@1 44.531 (44.819)	Prec@5 77.344 (75.398)
Epoch: [47][10670/14090]	Time 0.739 (0.764)	Data 0.001 (0.001)	Loss 2.5920 (2.1888)	Prec@1 32.812 (44.819)	Prec@5 71.094 (75.399)
Epoch: [47][10680/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 2.3413 (2.1888)	Prec@1 43.750 (44.819)	Prec@5 71.094 (75.399)
Epoch: [47][10690/14090]	Time 0.761 (0.764)	Data 0.001 (0.001)	Loss 2.2034 (2.1888)	Prec@1 48.438 (44.820)	Prec@5 71.875 (75.400)
Epoch: [47][10700/14090]	Time 0.772 (0.764)	Data 0.001 (0.001)	Loss 2.1146 (2.1887)	Prec@1 42.969 (44.820)	Prec@5 80.469 (75.403)
Epoch: [47][10710/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 2.4347 (2.1888)	Prec@1 38.281 (44.818)	Prec@5 70.312 (75.400)
Epoch: [47][10720/14090]	Time 0.759 (0.764)	Data 0.001 (0.001)	Loss 2.1066 (2.1888)	Prec@1 50.000 (44.818)	Prec@5 75.000 (75.399)
Epoch: [47][10730/14090]	Time 0.844 (0.764)	Data 0.001 (0.001)	Loss 2.6000 (2.1889)	Prec@1 33.594 (44.817)	Prec@5 70.312 (75.398)
Epoch: [47][10740/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 1.9274 (2.1889)	Prec@1 53.125 (44.815)	Prec@5 82.031 (75.398)
Epoch: [47][10750/14090]	Time 0.728 (0.764)	Data 0.001 (0.001)	Loss 2.2555 (2.1889)	Prec@1 37.500 (44.815)	Prec@5 79.688 (75.399)
Epoch: [47][10760/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 2.6929 (2.1890)	Prec@1 37.500 (44.811)	Prec@5 67.188 (75.397)
Epoch: [47][10770/14090]	Time 0.777 (0.764)	Data 0.001 (0.001)	Loss 2.1865 (2.1890)	Prec@1 45.312 (44.812)	Prec@5 74.219 (75.397)
Epoch: [47][10780/14090]	Time 0.728 (0.764)	Data 0.001 (0.001)	Loss 2.3702 (2.1889)	Prec@1 39.062 (44.812)	Prec@5 70.312 (75.398)
Epoch: [47][10790/14090]	Time 0.724 (0.764)	Data 0.001 (0.001)	Loss 2.0516 (2.1889)	Prec@1 46.875 (44.812)	Prec@5 77.344 (75.397)
Epoch: [47][10800/14090]	Time 0.820 (0.764)	Data 0.001 (0.001)	Loss 2.5476 (2.1889)	Prec@1 39.844 (44.812)	Prec@5 65.625 (75.396)
Epoch: [47][10810/14090]	Time 0.740 (0.764)	Data 0.001 (0.001)	Loss 2.4664 (2.1889)	Prec@1 41.406 (44.809)	Prec@5 71.094 (75.397)
Epoch: [47][10820/14090]	Time 0.733 (0.764)	Data 0.001 (0.001)	Loss 1.9337 (2.1889)	Prec@1 46.875 (44.809)	Prec@5 82.031 (75.396)
Epoch: [47][10830/14090]	Time 0.719 (0.764)	Data 0.001 (0.001)	Loss 2.3193 (2.1890)	Prec@1 42.969 (44.808)	Prec@5 73.438 (75.395)
Epoch: [47][10840/14090]	Time 0.734 (0.764)	Data 0.001 (0.001)	Loss 2.3984 (2.1891)	Prec@1 38.281 (44.807)	Prec@5 73.438 (75.395)
Epoch: [47][10850/14090]	Time 0.730 (0.764)	Data 0.001 (0.001)	Loss 2.1786 (2.1891)	Prec@1 48.438 (44.807)	Prec@5 75.781 (75.394)
Epoch: [47][10860/14090]	Time 0.724 (0.764)	Data 0.001 (0.001)	Loss 2.2648 (2.1891)	Prec@1 40.625 (44.808)	Prec@5 73.438 (75.394)
Epoch: [47][10870/14090]	Time 0.888 (0.764)	Data 0.001 (0.001)	Loss 2.1328 (2.1890)	Prec@1 42.188 (44.807)	Prec@5 78.125 (75.395)
Epoch: [47][10880/14090]	Time 0.724 (0.764)	Data 0.001 (0.001)	Loss 2.3333 (2.1891)	Prec@1 40.625 (44.807)	Prec@5 72.656 (75.394)
Epoch: [47][10890/14090]	Time 0.740 (0.764)	Data 0.001 (0.001)	Loss 2.3997 (2.1892)	Prec@1 41.406 (44.805)	Prec@5 75.000 (75.392)
Epoch: [47][10900/14090]	Time 0.761 (0.764)	Data 0.001 (0.001)	Loss 2.1954 (2.1892)	Prec@1 41.406 (44.804)	Prec@5 78.125 (75.393)
Epoch: [47][10910/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 2.3864 (2.1892)	Prec@1 44.531 (44.805)	Prec@5 72.656 (75.393)
Epoch: [47][10920/14090]	Time 0.764 (0.764)	Data 0.001 (0.001)	Loss 2.1208 (2.1892)	Prec@1 45.312 (44.805)	Prec@5 80.469 (75.395)
Epoch: [47][10930/14090]	Time 0.724 (0.764)	Data 0.001 (0.001)	Loss 1.9232 (2.1892)	Prec@1 50.000 (44.805)	Prec@5 81.250 (75.394)
Epoch: [47][10940/14090]	Time 0.857 (0.764)	Data 0.001 (0.001)	Loss 2.0837 (2.1892)	Prec@1 50.000 (44.806)	Prec@5 80.469 (75.394)
Epoch: [47][10950/14090]	Time 0.743 (0.764)	Data 0.001 (0.001)	Loss 2.0699 (2.1892)	Prec@1 49.219 (44.806)	Prec@5 77.344 (75.395)
Epoch: [47][10960/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 2.2941 (2.1892)	Prec@1 46.094 (44.807)	Prec@5 72.656 (75.395)
Epoch: [47][10970/14090]	Time 0.733 (0.764)	Data 0.001 (0.001)	Loss 1.9230 (2.1892)	Prec@1 46.094 (44.807)	Prec@5 83.594 (75.395)
Epoch: [47][10980/14090]	Time 0.763 (0.764)	Data 0.001 (0.001)	Loss 2.1056 (2.1893)	Prec@1 50.000 (44.807)	Prec@5 78.125 (75.393)
Epoch: [47][10990/14090]	Time 0.768 (0.764)	Data 0.001 (0.001)	Loss 2.4304 (2.1893)	Prec@1 38.281 (44.807)	Prec@5 67.969 (75.392)
Epoch: [47][11000/14090]	Time 0.767 (0.764)	Data 0.001 (0.001)	Loss 2.1508 (2.1894)	Prec@1 48.438 (44.807)	Prec@5 75.000 (75.390)
Epoch: [47][11010/14090]	Time 0.854 (0.764)	Data 0.001 (0.001)	Loss 2.2657 (2.1893)	Prec@1 42.969 (44.809)	Prec@5 74.219 (75.392)
Epoch: [47][11020/14090]	Time 0.733 (0.764)	Data 0.001 (0.001)	Loss 2.3896 (2.1892)	Prec@1 38.281 (44.810)	Prec@5 75.000 (75.395)
Epoch: [47][11030/14090]	Time 0.745 (0.764)	Data 0.001 (0.001)	Loss 2.0907 (2.1892)	Prec@1 45.312 (44.808)	Prec@5 79.688 (75.395)
Epoch: [47][11040/14090]	Time 0.730 (0.764)	Data 0.001 (0.001)	Loss 2.0212 (2.1892)	Prec@1 46.094 (44.807)	Prec@5 78.906 (75.394)
Epoch: [47][11050/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 2.3417 (2.1893)	Prec@1 42.969 (44.805)	Prec@5 70.312 (75.394)
Epoch: [47][11060/14090]	Time 0.722 (0.764)	Data 0.001 (0.001)	Loss 2.1838 (2.1893)	Prec@1 44.531 (44.805)	Prec@5 78.906 (75.394)
Epoch: [47][11070/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 2.3336 (2.1893)	Prec@1 39.062 (44.804)	Prec@5 71.875 (75.393)
Epoch: [47][11080/14090]	Time 0.827 (0.764)	Data 0.001 (0.001)	Loss 2.0861 (2.1893)	Prec@1 45.312 (44.805)	Prec@5 77.344 (75.394)
Epoch: [47][11090/14090]	Time 0.774 (0.764)	Data 0.001 (0.001)	Loss 2.2808 (2.1894)	Prec@1 41.406 (44.802)	Prec@5 71.875 (75.393)
Epoch: [47][11100/14090]	Time 0.727 (0.764)	Data 0.001 (0.001)	Loss 2.2883 (2.1894)	Prec@1 42.969 (44.802)	Prec@5 67.969 (75.393)
Epoch: [47][11110/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 2.2491 (2.1894)	Prec@1 45.312 (44.803)	Prec@5 79.688 (75.393)
Epoch: [47][11120/14090]	Time 0.761 (0.764)	Data 0.001 (0.001)	Loss 2.0612 (2.1894)	Prec@1 50.000 (44.802)	Prec@5 76.562 (75.391)
Epoch: [47][11130/14090]	Time 0.761 (0.764)	Data 0.001 (0.001)	Loss 2.1675 (2.1894)	Prec@1 49.219 (44.801)	Prec@5 75.781 (75.391)
Epoch: [47][11140/14090]	Time 0.728 (0.764)	Data 0.001 (0.001)	Loss 2.3480 (2.1895)	Prec@1 45.312 (44.800)	Prec@5 69.531 (75.391)
Epoch: [47][11150/14090]	Time 0.856 (0.764)	Data 0.001 (0.001)	Loss 2.1132 (2.1896)	Prec@1 50.000 (44.800)	Prec@5 74.219 (75.390)
Epoch: [47][11160/14090]	Time 0.775 (0.764)	Data 0.001 (0.001)	Loss 2.3061 (2.1895)	Prec@1 47.656 (44.801)	Prec@5 72.656 (75.391)
Epoch: [47][11170/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 2.4662 (2.1896)	Prec@1 42.969 (44.800)	Prec@5 68.750 (75.391)
Epoch: [47][11180/14090]	Time 0.771 (0.764)	Data 0.001 (0.001)	Loss 2.0707 (2.1895)	Prec@1 44.531 (44.800)	Prec@5 75.000 (75.391)
Epoch: [47][11190/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 2.3209 (2.1896)	Prec@1 45.312 (44.799)	Prec@5 71.875 (75.389)
Epoch: [47][11200/14090]	Time 0.724 (0.764)	Data 0.001 (0.001)	Loss 2.0741 (2.1896)	Prec@1 50.781 (44.800)	Prec@5 75.781 (75.389)
Epoch: [47][11210/14090]	Time 0.732 (0.764)	Data 0.001 (0.001)	Loss 2.0137 (2.1897)	Prec@1 50.781 (44.800)	Prec@5 78.125 (75.389)
Epoch: [47][11220/14090]	Time 0.836 (0.764)	Data 0.001 (0.001)	Loss 2.1797 (2.1897)	Prec@1 42.188 (44.800)	Prec@5 78.125 (75.388)
Epoch: [47][11230/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 2.2741 (2.1897)	Prec@1 44.531 (44.799)	Prec@5 77.344 (75.388)
Epoch: [47][11240/14090]	Time 0.740 (0.764)	Data 0.001 (0.001)	Loss 2.1932 (2.1897)	Prec@1 44.531 (44.798)	Prec@5 75.000 (75.387)
Epoch: [47][11250/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 2.0736 (2.1897)	Prec@1 46.094 (44.799)	Prec@5 75.000 (75.388)
Epoch: [47][11260/14090]	Time 0.739 (0.764)	Data 0.001 (0.001)	Loss 2.1112 (2.1896)	Prec@1 48.438 (44.801)	Prec@5 75.781 (75.389)
Epoch: [47][11270/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 2.0997 (2.1896)	Prec@1 42.969 (44.802)	Prec@5 80.469 (75.391)
Epoch: [47][11280/14090]	Time 0.730 (0.764)	Data 0.001 (0.001)	Loss 2.4796 (2.1896)	Prec@1 43.750 (44.801)	Prec@5 71.875 (75.390)
Epoch: [47][11290/14090]	Time 0.857 (0.764)	Data 0.001 (0.001)	Loss 2.4031 (2.1897)	Prec@1 36.719 (44.800)	Prec@5 67.969 (75.388)
Epoch: [47][11300/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 2.3201 (2.1898)	Prec@1 44.531 (44.800)	Prec@5 70.312 (75.386)
Epoch: [47][11310/14090]	Time 0.766 (0.764)	Data 0.001 (0.001)	Loss 2.2828 (2.1898)	Prec@1 41.406 (44.799)	Prec@5 71.875 (75.385)
Epoch: [47][11320/14090]	Time 0.735 (0.764)	Data 0.001 (0.001)	Loss 1.9585 (2.1898)	Prec@1 51.562 (44.799)	Prec@5 80.469 (75.386)
Epoch: [47][11330/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.0595 (2.1897)	Prec@1 48.438 (44.799)	Prec@5 76.562 (75.388)
Epoch: [47][11340/14090]	Time 0.733 (0.764)	Data 0.001 (0.001)	Loss 2.0432 (2.1897)	Prec@1 46.875 (44.800)	Prec@5 76.562 (75.389)
Epoch: [47][11350/14090]	Time 0.752 (0.764)	Data 0.002 (0.001)	Loss 2.5984 (2.1898)	Prec@1 35.938 (44.798)	Prec@5 70.312 (75.388)
Epoch: [47][11360/14090]	Time 0.856 (0.764)	Data 0.001 (0.001)	Loss 2.2817 (2.1897)	Prec@1 44.531 (44.799)	Prec@5 71.094 (75.390)
Epoch: [47][11370/14090]	Time 0.740 (0.764)	Data 0.001 (0.001)	Loss 2.3098 (2.1897)	Prec@1 46.094 (44.801)	Prec@5 75.781 (75.390)
Epoch: [47][11380/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 2.2839 (2.1898)	Prec@1 42.188 (44.800)	Prec@5 73.438 (75.390)
Epoch: [47][11390/14090]	Time 0.726 (0.764)	Data 0.001 (0.001)	Loss 2.3144 (2.1898)	Prec@1 41.406 (44.799)	Prec@5 75.781 (75.389)
Epoch: [47][11400/14090]	Time 0.745 (0.764)	Data 0.001 (0.001)	Loss 2.1210 (2.1898)	Prec@1 45.312 (44.798)	Prec@5 76.562 (75.390)
Epoch: [47][11410/14090]	Time 0.739 (0.764)	Data 0.001 (0.001)	Loss 2.2241 (2.1899)	Prec@1 46.875 (44.797)	Prec@5 75.000 (75.390)
Epoch: [47][11420/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 1.9886 (2.1899)	Prec@1 54.688 (44.798)	Prec@5 78.125 (75.389)
Epoch: [47][11430/14090]	Time 0.881 (0.764)	Data 0.001 (0.001)	Loss 2.0900 (2.1900)	Prec@1 45.312 (44.797)	Prec@5 76.562 (75.388)
Epoch: [47][11440/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 2.4396 (2.1899)	Prec@1 36.719 (44.798)	Prec@5 70.312 (75.390)
Epoch: [47][11450/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 2.2973 (2.1899)	Prec@1 41.406 (44.798)	Prec@5 72.656 (75.389)
Epoch: [47][11460/14090]	Time 0.740 (0.764)	Data 0.001 (0.001)	Loss 2.2227 (2.1899)	Prec@1 44.531 (44.797)	Prec@5 76.562 (75.389)
Epoch: [47][11470/14090]	Time 0.723 (0.764)	Data 0.001 (0.001)	Loss 2.2589 (2.1898)	Prec@1 37.500 (44.799)	Prec@5 75.781 (75.391)
Epoch: [47][11480/14090]	Time 0.781 (0.764)	Data 0.001 (0.001)	Loss 2.6257 (2.1899)	Prec@1 38.281 (44.798)	Prec@5 68.750 (75.389)
Epoch: [47][11490/14090]	Time 0.726 (0.764)	Data 0.001 (0.001)	Loss 2.2534 (2.1899)	Prec@1 46.094 (44.797)	Prec@5 75.781 (75.389)
Epoch: [47][11500/14090]	Time 0.867 (0.764)	Data 0.001 (0.001)	Loss 2.2099 (2.1900)	Prec@1 48.438 (44.798)	Prec@5 72.656 (75.388)
Epoch: [47][11510/14090]	Time 0.732 (0.764)	Data 0.001 (0.001)	Loss 2.5407 (2.1900)	Prec@1 39.062 (44.799)	Prec@5 66.406 (75.387)
Epoch: [47][11520/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 2.4699 (2.1901)	Prec@1 38.281 (44.797)	Prec@5 68.750 (75.386)
Epoch: [47][11530/14090]	Time 0.739 (0.764)	Data 0.001 (0.001)	Loss 2.1603 (2.1900)	Prec@1 45.312 (44.797)	Prec@5 78.125 (75.387)
Epoch: [47][11540/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 2.2477 (2.1901)	Prec@1 47.656 (44.796)	Prec@5 75.781 (75.386)
Epoch: [47][11550/14090]	Time 0.727 (0.764)	Data 0.001 (0.001)	Loss 2.3056 (2.1901)	Prec@1 44.531 (44.796)	Prec@5 76.562 (75.386)
Epoch: [47][11560/14090]	Time 0.728 (0.764)	Data 0.001 (0.001)	Loss 2.0751 (2.1901)	Prec@1 48.438 (44.795)	Prec@5 76.562 (75.385)
Epoch: [47][11570/14090]	Time 0.894 (0.764)	Data 0.001 (0.001)	Loss 2.3818 (2.1901)	Prec@1 39.844 (44.794)	Prec@5 73.438 (75.384)
Epoch: [47][11580/14090]	Time 0.748 (0.764)	Data 0.001 (0.001)	Loss 2.0521 (2.1901)	Prec@1 47.656 (44.795)	Prec@5 77.344 (75.384)
Epoch: [47][11590/14090]	Time 0.743 (0.764)	Data 0.001 (0.001)	Loss 1.9197 (2.1901)	Prec@1 54.688 (44.796)	Prec@5 83.594 (75.384)
Epoch: [47][11600/14090]	Time 0.734 (0.764)	Data 0.001 (0.001)	Loss 2.0171 (2.1900)	Prec@1 50.000 (44.796)	Prec@5 77.344 (75.386)
Epoch: [47][11610/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 1.9915 (2.1900)	Prec@1 50.781 (44.795)	Prec@5 77.344 (75.385)
Epoch: [47][11620/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 2.2480 (2.1900)	Prec@1 37.500 (44.797)	Prec@5 74.219 (75.388)
Epoch: [47][11630/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 2.0869 (2.1901)	Prec@1 45.312 (44.795)	Prec@5 76.562 (75.388)
Epoch: [47][11640/14090]	Time 0.810 (0.764)	Data 0.001 (0.001)	Loss 2.1987 (2.1901)	Prec@1 40.625 (44.794)	Prec@5 75.781 (75.388)
Epoch: [47][11650/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 2.3702 (2.1901)	Prec@1 42.188 (44.792)	Prec@5 68.750 (75.385)
Epoch: [47][11660/14090]	Time 0.733 (0.764)	Data 0.001 (0.001)	Loss 1.9790 (2.1901)	Prec@1 54.688 (44.793)	Prec@5 81.250 (75.385)
Epoch: [47][11670/14090]	Time 0.740 (0.764)	Data 0.001 (0.001)	Loss 2.4706 (2.1902)	Prec@1 37.500 (44.792)	Prec@5 72.656 (75.385)
Epoch: [47][11680/14090]	Time 0.732 (0.764)	Data 0.001 (0.001)	Loss 2.2775 (2.1902)	Prec@1 46.094 (44.792)	Prec@5 75.000 (75.386)
Epoch: [47][11690/14090]	Time 0.743 (0.764)	Data 0.001 (0.001)	Loss 2.0695 (2.1901)	Prec@1 48.438 (44.794)	Prec@5 74.219 (75.387)
Epoch: [47][11700/14090]	Time 0.766 (0.764)	Data 0.001 (0.001)	Loss 2.4050 (2.1901)	Prec@1 41.406 (44.795)	Prec@5 67.969 (75.387)
Epoch: [47][11710/14090]	Time 0.857 (0.764)	Data 0.001 (0.001)	Loss 2.1706 (2.1901)	Prec@1 45.312 (44.796)	Prec@5 76.562 (75.387)
Epoch: [47][11720/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 2.0283 (2.1901)	Prec@1 50.000 (44.795)	Prec@5 80.469 (75.388)
Epoch: [47][11730/14090]	Time 0.735 (0.764)	Data 0.001 (0.001)	Loss 2.2155 (2.1901)	Prec@1 44.531 (44.796)	Prec@5 74.219 (75.388)
Epoch: [47][11740/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.0121 (2.1900)	Prec@1 50.781 (44.798)	Prec@5 81.250 (75.390)
Epoch: [47][11750/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 1.8095 (2.1900)	Prec@1 49.219 (44.797)	Prec@5 82.812 (75.391)
Epoch: [47][11760/14090]	Time 0.723 (0.764)	Data 0.001 (0.001)	Loss 2.0118 (2.1900)	Prec@1 52.344 (44.797)	Prec@5 75.000 (75.392)
Epoch: [47][11770/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 2.1116 (2.1900)	Prec@1 46.094 (44.797)	Prec@5 73.438 (75.391)
Epoch: [47][11780/14090]	Time 0.946 (0.764)	Data 0.001 (0.001)	Loss 2.2662 (2.1900)	Prec@1 43.750 (44.797)	Prec@5 75.781 (75.393)
Epoch: [47][11790/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 2.3328 (2.1899)	Prec@1 40.625 (44.799)	Prec@5 75.781 (75.394)
Epoch: [47][11800/14090]	Time 0.719 (0.764)	Data 0.001 (0.001)	Loss 2.1823 (2.1900)	Prec@1 44.531 (44.799)	Prec@5 75.781 (75.392)
Epoch: [47][11810/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 2.2672 (2.1900)	Prec@1 47.656 (44.798)	Prec@5 72.656 (75.392)
Epoch: [47][11820/14090]	Time 0.748 (0.764)	Data 0.001 (0.001)	Loss 1.9876 (2.1900)	Prec@1 56.250 (44.798)	Prec@5 82.812 (75.392)
Epoch: [47][11830/14090]	Time 0.721 (0.764)	Data 0.001 (0.001)	Loss 2.2372 (2.1901)	Prec@1 48.438 (44.797)	Prec@5 71.094 (75.391)
Epoch: [47][11840/14090]	Time 0.734 (0.764)	Data 0.001 (0.001)	Loss 2.3884 (2.1901)	Prec@1 42.188 (44.796)	Prec@5 69.531 (75.390)
Epoch: [47][11850/14090]	Time 0.853 (0.764)	Data 0.001 (0.001)	Loss 2.4042 (2.1902)	Prec@1 46.094 (44.796)	Prec@5 71.094 (75.389)
Epoch: [47][11860/14090]	Time 0.743 (0.764)	Data 0.001 (0.001)	Loss 2.1848 (2.1902)	Prec@1 47.656 (44.795)	Prec@5 73.438 (75.388)
Epoch: [47][11870/14090]	Time 0.758 (0.764)	Data 0.001 (0.001)	Loss 2.1755 (2.1902)	Prec@1 42.969 (44.797)	Prec@5 71.875 (75.389)
Epoch: [47][11880/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 2.0887 (2.1902)	Prec@1 50.000 (44.797)	Prec@5 78.125 (75.389)
Epoch: [47][11890/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 2.1765 (2.1902)	Prec@1 44.531 (44.797)	Prec@5 75.781 (75.389)
Epoch: [47][11900/14090]	Time 0.725 (0.764)	Data 0.001 (0.001)	Loss 2.3111 (2.1903)	Prec@1 42.969 (44.796)	Prec@5 74.219 (75.387)
Epoch: [47][11910/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 2.1612 (2.1903)	Prec@1 46.094 (44.795)	Prec@5 75.781 (75.387)
Epoch: [47][11920/14090]	Time 0.872 (0.764)	Data 0.001 (0.001)	Loss 2.1437 (2.1902)	Prec@1 46.875 (44.796)	Prec@5 78.906 (75.388)
Epoch: [47][11930/14090]	Time 0.748 (0.764)	Data 0.001 (0.001)	Loss 2.0920 (2.1902)	Prec@1 46.875 (44.799)	Prec@5 75.781 (75.389)
Epoch: [47][11940/14090]	Time 0.739 (0.764)	Data 0.001 (0.001)	Loss 2.5526 (2.1903)	Prec@1 34.375 (44.796)	Prec@5 71.094 (75.387)
Epoch: [47][11950/14090]	Time 0.732 (0.764)	Data 0.001 (0.001)	Loss 1.9871 (2.1903)	Prec@1 46.094 (44.797)	Prec@5 80.469 (75.386)
Epoch: [47][11960/14090]	Time 0.760 (0.764)	Data 0.001 (0.001)	Loss 2.4177 (2.1903)	Prec@1 41.406 (44.798)	Prec@5 70.312 (75.387)
Epoch: [47][11970/14090]	Time 0.734 (0.764)	Data 0.001 (0.001)	Loss 2.0062 (2.1903)	Prec@1 48.438 (44.798)	Prec@5 82.812 (75.386)
Epoch: [47][11980/14090]	Time 0.729 (0.764)	Data 0.001 (0.001)	Loss 2.4099 (2.1902)	Prec@1 37.500 (44.798)	Prec@5 71.875 (75.388)
Epoch: [47][11990/14090]	Time 0.894 (0.764)	Data 0.001 (0.001)	Loss 2.5932 (2.1902)	Prec@1 37.500 (44.798)	Prec@5 67.969 (75.388)
Epoch: [47][12000/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.2578 (2.1902)	Prec@1 45.312 (44.798)	Prec@5 74.219 (75.389)
Epoch: [47][12010/14090]	Time 0.722 (0.764)	Data 0.001 (0.001)	Loss 2.2270 (2.1903)	Prec@1 43.750 (44.796)	Prec@5 72.656 (75.388)
Epoch: [47][12020/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 2.1054 (2.1902)	Prec@1 43.750 (44.797)	Prec@5 78.125 (75.391)
Epoch: [47][12030/14090]	Time 0.762 (0.764)	Data 0.001 (0.001)	Loss 1.9489 (2.1901)	Prec@1 50.000 (44.798)	Prec@5 79.688 (75.391)
Epoch: [47][12040/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 2.0721 (2.1901)	Prec@1 46.875 (44.799)	Prec@5 75.781 (75.393)
Epoch: [47][12050/14090]	Time 0.770 (0.764)	Data 0.001 (0.001)	Loss 2.2680 (2.1901)	Prec@1 39.844 (44.799)	Prec@5 76.562 (75.393)
Epoch: [47][12060/14090]	Time 0.885 (0.764)	Data 0.001 (0.001)	Loss 2.2321 (2.1901)	Prec@1 38.281 (44.799)	Prec@5 72.656 (75.394)
Epoch: [47][12070/14090]	Time 0.769 (0.764)	Data 0.001 (0.001)	Loss 2.0344 (2.1900)	Prec@1 46.094 (44.801)	Prec@5 78.125 (75.396)
Epoch: [47][12080/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 2.3002 (2.1901)	Prec@1 49.219 (44.800)	Prec@5 72.656 (75.394)
Epoch: [47][12090/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 2.3520 (2.1901)	Prec@1 39.062 (44.798)	Prec@5 70.312 (75.394)
Epoch: [47][12100/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 2.2228 (2.1901)	Prec@1 42.188 (44.796)	Prec@5 71.875 (75.395)
Epoch: [47][12110/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 2.1397 (2.1900)	Prec@1 41.406 (44.796)	Prec@5 78.125 (75.396)
Epoch: [47][12120/14090]	Time 0.780 (0.764)	Data 0.001 (0.001)	Loss 1.8807 (2.1899)	Prec@1 50.781 (44.798)	Prec@5 77.344 (75.396)
Epoch: [47][12130/14090]	Time 0.887 (0.764)	Data 0.001 (0.001)	Loss 2.3993 (2.1900)	Prec@1 41.406 (44.796)	Prec@5 70.312 (75.394)
Epoch: [47][12140/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 2.1735 (2.1900)	Prec@1 44.531 (44.796)	Prec@5 78.906 (75.394)
Epoch: [47][12150/14090]	Time 0.744 (0.764)	Data 0.002 (0.001)	Loss 2.1154 (2.1900)	Prec@1 48.438 (44.796)	Prec@5 78.906 (75.396)
Epoch: [47][12160/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 2.0074 (2.1900)	Prec@1 47.656 (44.796)	Prec@5 78.125 (75.395)
Epoch: [47][12170/14090]	Time 0.723 (0.764)	Data 0.001 (0.001)	Loss 1.8440 (2.1899)	Prec@1 52.344 (44.795)	Prec@5 81.250 (75.395)
Epoch: [47][12180/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 2.2199 (2.1899)	Prec@1 47.656 (44.796)	Prec@5 75.000 (75.394)
Epoch: [47][12190/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 2.5490 (2.1899)	Prec@1 38.281 (44.795)	Prec@5 65.625 (75.394)
Epoch: [47][12200/14090]	Time 0.850 (0.764)	Data 0.001 (0.001)	Loss 2.0196 (2.1899)	Prec@1 47.656 (44.795)	Prec@5 77.344 (75.395)
Epoch: [47][12210/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 2.1531 (2.1899)	Prec@1 43.750 (44.794)	Prec@5 78.125 (75.395)
Epoch: [47][12220/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 2.4387 (2.1900)	Prec@1 41.406 (44.794)	Prec@5 73.438 (75.395)
Epoch: [47][12230/14090]	Time 0.753 (0.764)	Data 0.003 (0.001)	Loss 2.1197 (2.1899)	Prec@1 50.781 (44.795)	Prec@5 75.000 (75.396)
Epoch: [47][12240/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 2.0328 (2.1899)	Prec@1 46.094 (44.794)	Prec@5 78.125 (75.397)
Epoch: [47][12250/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 2.1058 (2.1899)	Prec@1 48.438 (44.794)	Prec@5 75.000 (75.397)
Epoch: [47][12260/14090]	Time 0.763 (0.764)	Data 0.001 (0.001)	Loss 2.3392 (2.1898)	Prec@1 43.750 (44.796)	Prec@5 73.438 (75.398)
Epoch: [47][12270/14090]	Time 0.871 (0.764)	Data 0.001 (0.001)	Loss 1.9855 (2.1898)	Prec@1 45.312 (44.796)	Prec@5 79.688 (75.398)
Epoch: [47][12280/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.2560 (2.1898)	Prec@1 45.312 (44.796)	Prec@5 73.438 (75.398)
Epoch: [47][12290/14090]	Time 0.768 (0.764)	Data 0.001 (0.001)	Loss 2.1867 (2.1898)	Prec@1 43.750 (44.797)	Prec@5 76.562 (75.399)
Epoch: [47][12300/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 2.1577 (2.1898)	Prec@1 42.188 (44.797)	Prec@5 74.219 (75.398)
Epoch: [47][12310/14090]	Time 0.732 (0.764)	Data 0.001 (0.001)	Loss 2.1864 (2.1898)	Prec@1 43.750 (44.797)	Prec@5 77.344 (75.400)
Epoch: [47][12320/14090]	Time 0.759 (0.764)	Data 0.001 (0.001)	Loss 1.8682 (2.1898)	Prec@1 47.656 (44.798)	Prec@5 79.688 (75.400)
Epoch: [47][12330/14090]	Time 0.764 (0.764)	Data 0.001 (0.001)	Loss 2.4580 (2.1898)	Prec@1 35.156 (44.796)	Prec@5 72.656 (75.399)
Epoch: [47][12340/14090]	Time 0.880 (0.764)	Data 0.001 (0.001)	Loss 1.8453 (2.1898)	Prec@1 50.781 (44.798)	Prec@5 78.906 (75.400)
Epoch: [47][12350/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 2.2452 (2.1898)	Prec@1 44.531 (44.797)	Prec@5 77.344 (75.400)
Epoch: [47][12360/14090]	Time 0.746 (0.764)	Data 0.001 (0.001)	Loss 2.6242 (2.1898)	Prec@1 37.500 (44.796)	Prec@5 67.969 (75.401)
Epoch: [47][12370/14090]	Time 0.768 (0.764)	Data 0.001 (0.001)	Loss 2.4175 (2.1899)	Prec@1 39.844 (44.795)	Prec@5 66.406 (75.399)
Epoch: [47][12380/14090]	Time 0.760 (0.764)	Data 0.001 (0.001)	Loss 2.3637 (2.1898)	Prec@1 40.625 (44.797)	Prec@5 73.438 (75.400)
Epoch: [47][12390/14090]	Time 0.764 (0.764)	Data 0.001 (0.001)	Loss 2.3414 (2.1898)	Prec@1 45.312 (44.796)	Prec@5 68.750 (75.399)
Epoch: [47][12400/14090]	Time 0.748 (0.764)	Data 0.001 (0.001)	Loss 2.3737 (2.1898)	Prec@1 39.062 (44.794)	Prec@5 68.750 (75.399)
Epoch: [47][12410/14090]	Time 0.922 (0.764)	Data 0.001 (0.001)	Loss 2.3256 (2.1899)	Prec@1 46.094 (44.795)	Prec@5 71.094 (75.398)
Epoch: [47][12420/14090]	Time 0.719 (0.764)	Data 0.001 (0.001)	Loss 2.1541 (2.1899)	Prec@1 42.969 (44.793)	Prec@5 80.469 (75.397)
Epoch: [47][12430/14090]	Time 0.745 (0.764)	Data 0.001 (0.001)	Loss 2.2210 (2.1899)	Prec@1 39.844 (44.793)	Prec@5 75.781 (75.397)
Epoch: [47][12440/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 2.1912 (2.1899)	Prec@1 47.656 (44.794)	Prec@5 75.781 (75.396)
Epoch: [47][12450/14090]	Time 0.768 (0.764)	Data 0.001 (0.001)	Loss 2.1440 (2.1899)	Prec@1 47.656 (44.795)	Prec@5 74.219 (75.396)
Epoch: [47][12460/14090]	Time 0.760 (0.764)	Data 0.001 (0.001)	Loss 2.4240 (2.1899)	Prec@1 41.406 (44.794)	Prec@5 69.531 (75.395)
Epoch: [47][12470/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 2.2553 (2.1899)	Prec@1 42.188 (44.795)	Prec@5 73.438 (75.396)
Epoch: [47][12480/14090]	Time 0.846 (0.764)	Data 0.001 (0.001)	Loss 2.3407 (2.1899)	Prec@1 38.281 (44.795)	Prec@5 73.438 (75.396)
Epoch: [47][12490/14090]	Time 0.728 (0.764)	Data 0.001 (0.001)	Loss 2.1500 (2.1898)	Prec@1 46.094 (44.795)	Prec@5 75.781 (75.396)
Epoch: [47][12500/14090]	Time 0.729 (0.764)	Data 0.001 (0.001)	Loss 1.8794 (2.1898)	Prec@1 48.438 (44.797)	Prec@5 77.344 (75.396)
Epoch: [47][12510/14090]	Time 0.776 (0.764)	Data 0.001 (0.001)	Loss 2.1200 (2.1898)	Prec@1 42.188 (44.794)	Prec@5 75.781 (75.395)
Epoch: [47][12520/14090]	Time 0.782 (0.764)	Data 0.001 (0.001)	Loss 1.9196 (2.1898)	Prec@1 51.562 (44.794)	Prec@5 77.344 (75.395)
Epoch: [47][12530/14090]	Time 0.743 (0.764)	Data 0.001 (0.001)	Loss 2.1461 (2.1899)	Prec@1 46.094 (44.793)	Prec@5 74.219 (75.394)
Epoch: [47][12540/14090]	Time 0.773 (0.764)	Data 0.001 (0.001)	Loss 2.1587 (2.1899)	Prec@1 41.406 (44.794)	Prec@5 81.250 (75.395)
Epoch: [47][12550/14090]	Time 0.868 (0.764)	Data 0.001 (0.001)	Loss 2.3886 (2.1899)	Prec@1 34.375 (44.793)	Prec@5 72.656 (75.392)
Epoch: [47][12560/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 2.3170 (2.1900)	Prec@1 42.188 (44.791)	Prec@5 71.875 (75.391)
Epoch: [47][12570/14090]	Time 0.733 (0.764)	Data 0.001 (0.001)	Loss 2.1056 (2.1900)	Prec@1 42.188 (44.790)	Prec@5 79.688 (75.391)
Epoch: [47][12580/14090]	Time 0.748 (0.764)	Data 0.001 (0.001)	Loss 2.0083 (2.1900)	Prec@1 49.219 (44.789)	Prec@5 76.562 (75.390)
Epoch: [47][12590/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 2.3592 (2.1900)	Prec@1 43.750 (44.789)	Prec@5 69.531 (75.390)
Epoch: [47][12600/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.2196 (2.1900)	Prec@1 39.844 (44.790)	Prec@5 71.875 (75.390)
Epoch: [47][12610/14090]	Time 0.746 (0.764)	Data 0.001 (0.001)	Loss 2.3074 (2.1900)	Prec@1 42.969 (44.789)	Prec@5 69.531 (75.390)
Epoch: [47][12620/14090]	Time 0.852 (0.764)	Data 0.001 (0.001)	Loss 2.4102 (2.1900)	Prec@1 39.062 (44.790)	Prec@5 71.094 (75.391)
Epoch: [47][12630/14090]	Time 0.728 (0.764)	Data 0.001 (0.001)	Loss 2.2590 (2.1900)	Prec@1 43.750 (44.789)	Prec@5 73.438 (75.390)
Epoch: [47][12640/14090]	Time 0.732 (0.764)	Data 0.001 (0.001)	Loss 2.2755 (2.1900)	Prec@1 44.531 (44.789)	Prec@5 74.219 (75.391)
Epoch: [47][12650/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 2.3869 (2.1900)	Prec@1 39.062 (44.789)	Prec@5 75.781 (75.391)
Epoch: [47][12660/14090]	Time 0.739 (0.764)	Data 0.001 (0.001)	Loss 2.2307 (2.1901)	Prec@1 46.875 (44.788)	Prec@5 66.406 (75.389)
Epoch: [47][12670/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 2.1925 (2.1900)	Prec@1 49.219 (44.789)	Prec@5 75.000 (75.390)
Epoch: [47][12680/14090]	Time 0.734 (0.764)	Data 0.001 (0.001)	Loss 2.2922 (2.1901)	Prec@1 46.094 (44.789)	Prec@5 75.781 (75.389)
Epoch: [47][12690/14090]	Time 0.853 (0.764)	Data 0.001 (0.001)	Loss 2.5084 (2.1901)	Prec@1 43.750 (44.789)	Prec@5 72.656 (75.388)
Epoch: [47][12700/14090]	Time 0.743 (0.764)	Data 0.001 (0.001)	Loss 2.4816 (2.1901)	Prec@1 37.500 (44.789)	Prec@5 69.531 (75.388)
Epoch: [47][12710/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 2.2712 (2.1901)	Prec@1 43.750 (44.789)	Prec@5 74.219 (75.387)
Epoch: [47][12720/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 2.3337 (2.1901)	Prec@1 42.969 (44.790)	Prec@5 74.219 (75.388)
Epoch: [47][12730/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 2.3437 (2.1902)	Prec@1 38.281 (44.788)	Prec@5 71.875 (75.386)
Epoch: [47][12740/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 2.3535 (2.1902)	Prec@1 39.844 (44.789)	Prec@5 72.656 (75.386)
Epoch: [47][12750/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 2.0145 (2.1902)	Prec@1 52.344 (44.789)	Prec@5 76.562 (75.385)
Epoch: [47][12760/14090]	Time 0.852 (0.764)	Data 0.001 (0.001)	Loss 2.0850 (2.1902)	Prec@1 39.844 (44.788)	Prec@5 81.250 (75.386)
Epoch: [47][12770/14090]	Time 0.730 (0.764)	Data 0.001 (0.001)	Loss 2.2593 (2.1902)	Prec@1 42.969 (44.788)	Prec@5 75.000 (75.386)
Epoch: [47][12780/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 2.2508 (2.1902)	Prec@1 40.625 (44.786)	Prec@5 72.656 (75.385)
Epoch: [47][12790/14090]	Time 0.735 (0.764)	Data 0.001 (0.001)	Loss 2.0715 (2.1902)	Prec@1 50.781 (44.787)	Prec@5 78.906 (75.386)
Epoch: [47][12800/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 2.1803 (2.1902)	Prec@1 46.094 (44.789)	Prec@5 75.000 (75.385)
Epoch: [47][12810/14090]	Time 0.760 (0.764)	Data 0.001 (0.001)	Loss 2.0375 (2.1902)	Prec@1 46.094 (44.789)	Prec@5 79.688 (75.385)
Epoch: [47][12820/14090]	Time 0.769 (0.764)	Data 0.001 (0.001)	Loss 2.3755 (2.1902)	Prec@1 42.188 (44.788)	Prec@5 74.219 (75.385)
Epoch: [47][12830/14090]	Time 0.862 (0.764)	Data 0.001 (0.001)	Loss 2.2757 (2.1902)	Prec@1 48.438 (44.788)	Prec@5 75.781 (75.385)
Epoch: [47][12840/14090]	Time 0.732 (0.764)	Data 0.001 (0.001)	Loss 2.1352 (2.1902)	Prec@1 43.750 (44.790)	Prec@5 74.219 (75.387)
Epoch: [47][12850/14090]	Time 0.734 (0.764)	Data 0.001 (0.001)	Loss 2.0241 (2.1902)	Prec@1 43.750 (44.788)	Prec@5 76.562 (75.386)
Epoch: [47][12860/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 2.7501 (2.1903)	Prec@1 36.719 (44.785)	Prec@5 66.406 (75.385)
Epoch: [47][12870/14090]	Time 0.773 (0.764)	Data 0.001 (0.001)	Loss 2.1375 (2.1903)	Prec@1 42.969 (44.786)	Prec@5 74.219 (75.383)
Epoch: [47][12880/14090]	Time 0.763 (0.764)	Data 0.001 (0.001)	Loss 2.4076 (2.1903)	Prec@1 39.844 (44.784)	Prec@5 71.094 (75.383)
Epoch: [47][12890/14090]	Time 0.769 (0.764)	Data 0.001 (0.001)	Loss 1.9813 (2.1904)	Prec@1 45.312 (44.782)	Prec@5 77.344 (75.382)
Epoch: [47][12900/14090]	Time 0.836 (0.764)	Data 0.001 (0.001)	Loss 2.0372 (2.1904)	Prec@1 50.000 (44.780)	Prec@5 79.688 (75.382)
Epoch: [47][12910/14090]	Time 0.744 (0.764)	Data 0.001 (0.001)	Loss 2.2569 (2.1904)	Prec@1 43.750 (44.779)	Prec@5 78.125 (75.382)
Epoch: [47][12920/14090]	Time 0.736 (0.764)	Data 0.001 (0.001)	Loss 2.2603 (2.1904)	Prec@1 41.406 (44.779)	Prec@5 71.094 (75.382)
Epoch: [47][12930/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 2.3814 (2.1904)	Prec@1 44.531 (44.779)	Prec@5 71.875 (75.381)
Epoch: [47][12940/14090]	Time 0.769 (0.764)	Data 0.001 (0.001)	Loss 2.3277 (2.1904)	Prec@1 38.281 (44.779)	Prec@5 70.312 (75.382)
Epoch: [47][12950/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.1561 (2.1904)	Prec@1 47.656 (44.781)	Prec@5 75.000 (75.381)
Epoch: [47][12960/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 1.9889 (2.1903)	Prec@1 50.000 (44.782)	Prec@5 79.688 (75.382)
Epoch: [47][12970/14090]	Time 0.829 (0.764)	Data 0.001 (0.001)	Loss 2.2871 (2.1903)	Prec@1 45.312 (44.780)	Prec@5 71.875 (75.382)
Epoch: [47][12980/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 2.2002 (2.1904)	Prec@1 40.625 (44.779)	Prec@5 75.000 (75.380)
Epoch: [47][12990/14090]	Time 0.739 (0.764)	Data 0.001 (0.001)	Loss 2.1974 (2.1904)	Prec@1 40.625 (44.779)	Prec@5 75.781 (75.380)
Epoch: [47][13000/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.2620 (2.1904)	Prec@1 39.062 (44.779)	Prec@5 77.344 (75.380)
Epoch: [47][13010/14090]	Time 0.743 (0.764)	Data 0.001 (0.001)	Loss 2.1417 (2.1904)	Prec@1 49.219 (44.778)	Prec@5 75.000 (75.380)
Epoch: [47][13020/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 2.1565 (2.1904)	Prec@1 42.969 (44.777)	Prec@5 79.688 (75.381)
Epoch: [47][13030/14090]	Time 0.769 (0.764)	Data 0.001 (0.001)	Loss 2.5388 (2.1904)	Prec@1 40.625 (44.776)	Prec@5 71.094 (75.378)
Epoch: [47][13040/14090]	Time 0.812 (0.764)	Data 0.001 (0.001)	Loss 2.0203 (2.1905)	Prec@1 49.219 (44.775)	Prec@5 78.125 (75.375)
Epoch: [47][13050/14090]	Time 0.723 (0.764)	Data 0.001 (0.001)	Loss 2.0695 (2.1905)	Prec@1 42.969 (44.776)	Prec@5 79.688 (75.375)
Epoch: [47][13060/14090]	Time 0.736 (0.764)	Data 0.001 (0.001)	Loss 2.2165 (2.1905)	Prec@1 45.312 (44.777)	Prec@5 71.875 (75.375)
Epoch: [47][13070/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 1.8977 (2.1906)	Prec@1 50.781 (44.775)	Prec@5 83.594 (75.374)
Epoch: [47][13080/14090]	Time 0.748 (0.764)	Data 0.001 (0.001)	Loss 2.2040 (2.1906)	Prec@1 39.844 (44.774)	Prec@5 71.094 (75.373)
Epoch: [47][13090/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 2.5447 (2.1907)	Prec@1 38.281 (44.773)	Prec@5 71.094 (75.372)
Epoch: [47][13100/14090]	Time 0.773 (0.764)	Data 0.001 (0.001)	Loss 2.3904 (2.1907)	Prec@1 34.375 (44.772)	Prec@5 73.438 (75.371)
Epoch: [47][13110/14090]	Time 0.884 (0.764)	Data 0.001 (0.001)	Loss 2.0021 (2.1907)	Prec@1 44.531 (44.773)	Prec@5 82.812 (75.372)
Epoch: [47][13120/14090]	Time 0.724 (0.764)	Data 0.001 (0.001)	Loss 2.2904 (2.1908)	Prec@1 42.188 (44.772)	Prec@5 69.531 (75.371)
Epoch: [47][13130/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 1.9507 (2.1908)	Prec@1 50.781 (44.772)	Prec@5 80.469 (75.372)
Epoch: [47][13140/14090]	Time 0.732 (0.764)	Data 0.001 (0.001)	Loss 2.1515 (2.1908)	Prec@1 44.531 (44.771)	Prec@5 75.781 (75.372)
Epoch: [47][13150/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 2.2533 (2.1908)	Prec@1 43.750 (44.771)	Prec@5 70.312 (75.371)
Epoch: [47][13160/14090]	Time 0.726 (0.764)	Data 0.001 (0.001)	Loss 2.2331 (2.1908)	Prec@1 49.219 (44.773)	Prec@5 71.875 (75.370)
Epoch: [47][13170/14090]	Time 0.725 (0.764)	Data 0.001 (0.001)	Loss 2.2364 (2.1908)	Prec@1 46.094 (44.772)	Prec@5 75.000 (75.369)
Epoch: [47][13180/14090]	Time 0.846 (0.764)	Data 0.001 (0.001)	Loss 2.4049 (2.1908)	Prec@1 39.062 (44.771)	Prec@5 69.531 (75.368)
Epoch: [47][13190/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 2.2585 (2.1909)	Prec@1 47.656 (44.770)	Prec@5 74.219 (75.368)
Epoch: [47][13200/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 2.4008 (2.1909)	Prec@1 37.500 (44.768)	Prec@5 72.656 (75.368)
Epoch: [47][13210/14090]	Time 0.760 (0.764)	Data 0.001 (0.001)	Loss 2.2135 (2.1910)	Prec@1 42.969 (44.765)	Prec@5 75.000 (75.367)
Epoch: [47][13220/14090]	Time 0.763 (0.764)	Data 0.001 (0.001)	Loss 2.1674 (2.1910)	Prec@1 46.094 (44.764)	Prec@5 75.781 (75.365)
Epoch: [47][13230/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 2.3830 (2.1911)	Prec@1 45.312 (44.763)	Prec@5 70.312 (75.365)
Epoch: [47][13240/14090]	Time 0.760 (0.764)	Data 0.001 (0.001)	Loss 2.1608 (2.1911)	Prec@1 42.188 (44.764)	Prec@5 75.000 (75.366)
Epoch: [47][13250/14090]	Time 0.862 (0.764)	Data 0.001 (0.001)	Loss 2.4087 (2.1910)	Prec@1 46.094 (44.765)	Prec@5 73.438 (75.366)
Epoch: [47][13260/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 2.2035 (2.1910)	Prec@1 42.188 (44.764)	Prec@5 77.344 (75.366)
Epoch: [47][13270/14090]	Time 0.758 (0.764)	Data 0.001 (0.001)	Loss 2.2317 (2.1910)	Prec@1 52.344 (44.765)	Prec@5 81.250 (75.367)
Epoch: [47][13280/14090]	Time 0.728 (0.764)	Data 0.001 (0.001)	Loss 2.2944 (2.1910)	Prec@1 48.438 (44.765)	Prec@5 74.219 (75.367)
Epoch: [47][13290/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 2.2172 (2.1911)	Prec@1 46.094 (44.764)	Prec@5 68.750 (75.366)
Epoch: [47][13300/14090]	Time 0.745 (0.764)	Data 0.001 (0.001)	Loss 2.1790 (2.1910)	Prec@1 39.062 (44.765)	Prec@5 75.781 (75.366)
Epoch: [47][13310/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 2.4033 (2.1911)	Prec@1 35.156 (44.763)	Prec@5 73.438 (75.365)
Epoch: [47][13320/14090]	Time 0.856 (0.764)	Data 0.001 (0.001)	Loss 1.9709 (2.1912)	Prec@1 44.531 (44.762)	Prec@5 78.906 (75.364)
Epoch: [47][13330/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 2.3719 (2.1912)	Prec@1 47.656 (44.761)	Prec@5 67.969 (75.364)
Epoch: [47][13340/14090]	Time 0.727 (0.764)	Data 0.001 (0.001)	Loss 2.0917 (2.1911)	Prec@1 47.656 (44.761)	Prec@5 77.344 (75.365)
Epoch: [47][13350/14090]	Time 0.736 (0.764)	Data 0.001 (0.001)	Loss 2.2364 (2.1911)	Prec@1 46.875 (44.761)	Prec@5 76.562 (75.364)
Epoch: [47][13360/14090]	Time 0.740 (0.764)	Data 0.001 (0.001)	Loss 2.3413 (2.1912)	Prec@1 41.406 (44.760)	Prec@5 72.656 (75.364)
Epoch: [47][13370/14090]	Time 0.758 (0.764)	Data 0.001 (0.001)	Loss 2.4339 (2.1912)	Prec@1 40.625 (44.760)	Prec@5 71.094 (75.364)
Epoch: [47][13380/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 1.9601 (2.1911)	Prec@1 50.781 (44.762)	Prec@5 78.906 (75.365)
Epoch: [47][13390/14090]	Time 0.823 (0.764)	Data 0.001 (0.001)	Loss 2.2686 (2.1912)	Prec@1 49.219 (44.762)	Prec@5 74.219 (75.364)
Epoch: [47][13400/14090]	Time 0.746 (0.764)	Data 0.001 (0.001)	Loss 2.1664 (2.1911)	Prec@1 41.406 (44.762)	Prec@5 74.219 (75.365)
Epoch: [47][13410/14090]	Time 0.728 (0.764)	Data 0.001 (0.001)	Loss 2.2062 (2.1912)	Prec@1 46.094 (44.761)	Prec@5 75.000 (75.363)
Epoch: [47][13420/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 2.0454 (2.1912)	Prec@1 45.312 (44.760)	Prec@5 78.906 (75.362)
Epoch: [47][13430/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 2.2368 (2.1912)	Prec@1 43.750 (44.762)	Prec@5 75.000 (75.363)
Epoch: [47][13440/14090]	Time 0.726 (0.764)	Data 0.001 (0.001)	Loss 1.9508 (2.1911)	Prec@1 53.906 (44.763)	Prec@5 75.781 (75.363)
Epoch: [47][13450/14090]	Time 0.730 (0.764)	Data 0.001 (0.001)	Loss 2.3540 (2.1912)	Prec@1 42.188 (44.763)	Prec@5 76.562 (75.363)
Epoch: [47][13460/14090]	Time 0.838 (0.764)	Data 0.001 (0.001)	Loss 2.2622 (2.1912)	Prec@1 41.406 (44.763)	Prec@5 75.781 (75.363)
Epoch: [47][13470/14090]	Time 0.730 (0.764)	Data 0.001 (0.001)	Loss 2.0007 (2.1912)	Prec@1 48.438 (44.763)	Prec@5 82.031 (75.363)
Epoch: [47][13480/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 2.2283 (2.1912)	Prec@1 39.844 (44.762)	Prec@5 76.562 (75.364)
Epoch: [47][13490/14090]	Time 0.736 (0.764)	Data 0.001 (0.001)	Loss 2.1422 (2.1911)	Prec@1 46.094 (44.763)	Prec@5 71.094 (75.364)
Epoch: [47][13500/14090]	Time 0.726 (0.763)	Data 0.001 (0.001)	Loss 2.4414 (2.1912)	Prec@1 37.500 (44.761)	Prec@5 70.312 (75.363)
Epoch: [47][13510/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 2.3620 (2.1911)	Prec@1 42.969 (44.762)	Prec@5 69.531 (75.364)
Epoch: [47][13520/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 2.4606 (2.1912)	Prec@1 36.719 (44.763)	Prec@5 71.094 (75.363)
Epoch: [47][13530/14090]	Time 0.845 (0.764)	Data 0.001 (0.001)	Loss 2.1029 (2.1911)	Prec@1 42.969 (44.764)	Prec@5 80.469 (75.364)
Epoch: [47][13540/14090]	Time 0.738 (0.763)	Data 0.001 (0.001)	Loss 2.2549 (2.1911)	Prec@1 43.750 (44.765)	Prec@5 73.438 (75.364)
Epoch: [47][13550/14090]	Time 0.747 (0.763)	Data 0.001 (0.001)	Loss 1.9966 (2.1911)	Prec@1 50.781 (44.766)	Prec@5 74.219 (75.364)
Epoch: [47][13560/14090]	Time 0.725 (0.763)	Data 0.001 (0.001)	Loss 2.1602 (2.1911)	Prec@1 47.656 (44.767)	Prec@5 75.781 (75.365)
Epoch: [47][13570/14090]	Time 0.748 (0.763)	Data 0.001 (0.001)	Loss 2.1412 (2.1910)	Prec@1 44.531 (44.767)	Prec@5 75.781 (75.366)
Epoch: [47][13580/14090]	Time 0.750 (0.763)	Data 0.001 (0.001)	Loss 2.0714 (2.1910)	Prec@1 52.344 (44.770)	Prec@5 72.656 (75.366)
Epoch: [47][13590/14090]	Time 0.768 (0.763)	Data 0.001 (0.001)	Loss 2.2602 (2.1910)	Prec@1 46.094 (44.768)	Prec@5 70.312 (75.366)
Epoch: [47][13600/14090]	Time 0.871 (0.763)	Data 0.001 (0.001)	Loss 1.9026 (2.1909)	Prec@1 54.688 (44.769)	Prec@5 75.781 (75.368)
Epoch: [47][13610/14090]	Time 0.750 (0.763)	Data 0.001 (0.001)	Loss 2.2417 (2.1909)	Prec@1 39.844 (44.770)	Prec@5 76.562 (75.369)
Epoch: [47][13620/14090]	Time 0.750 (0.763)	Data 0.001 (0.001)	Loss 2.3812 (2.1909)	Prec@1 39.844 (44.769)	Prec@5 75.000 (75.370)
Epoch: [47][13630/14090]	Time 0.766 (0.763)	Data 0.001 (0.001)	Loss 2.3309 (2.1909)	Prec@1 40.625 (44.768)	Prec@5 75.000 (75.369)
Epoch: [47][13640/14090]	Time 0.751 (0.763)	Data 0.001 (0.001)	Loss 2.6338 (2.1909)	Prec@1 36.719 (44.768)	Prec@5 66.406 (75.369)
Epoch: [47][13650/14090]	Time 0.763 (0.763)	Data 0.001 (0.001)	Loss 2.1902 (2.1908)	Prec@1 46.875 (44.769)	Prec@5 76.562 (75.371)
Epoch: [47][13660/14090]	Time 0.755 (0.763)	Data 0.001 (0.001)	Loss 2.2712 (2.1909)	Prec@1 47.656 (44.770)	Prec@5 74.219 (75.371)
Epoch: [47][13670/14090]	Time 0.839 (0.763)	Data 0.001 (0.001)	Loss 2.1655 (2.1909)	Prec@1 44.531 (44.770)	Prec@5 82.031 (75.370)
Epoch: [47][13680/14090]	Time 0.752 (0.763)	Data 0.001 (0.001)	Loss 2.4945 (2.1909)	Prec@1 39.062 (44.771)	Prec@5 69.531 (75.370)
Epoch: [47][13690/14090]	Time 0.745 (0.763)	Data 0.001 (0.001)	Loss 2.3693 (2.1909)	Prec@1 42.969 (44.770)	Prec@5 71.094 (75.369)
Epoch: [47][13700/14090]	Time 0.735 (0.763)	Data 0.001 (0.001)	Loss 2.0948 (2.1909)	Prec@1 50.000 (44.771)	Prec@5 79.688 (75.370)
Epoch: [47][13710/14090]	Time 0.754 (0.763)	Data 0.001 (0.001)	Loss 2.0902 (2.1909)	Prec@1 40.625 (44.771)	Prec@5 74.219 (75.370)
Epoch: [47][13720/14090]	Time 0.730 (0.763)	Data 0.001 (0.001)	Loss 2.2842 (2.1909)	Prec@1 46.094 (44.771)	Prec@5 76.562 (75.370)
Epoch: [47][13730/14090]	Time 0.731 (0.763)	Data 0.001 (0.001)	Loss 2.1284 (2.1909)	Prec@1 46.875 (44.770)	Prec@5 76.562 (75.371)
Epoch: [47][13740/14090]	Time 0.888 (0.763)	Data 0.001 (0.001)	Loss 2.1405 (2.1909)	Prec@1 46.875 (44.770)	Prec@5 77.344 (75.371)
Epoch: [47][13750/14090]	Time 0.754 (0.763)	Data 0.001 (0.001)	Loss 2.2095 (2.1909)	Prec@1 46.094 (44.770)	Prec@5 75.781 (75.372)
Epoch: [47][13760/14090]	Time 0.743 (0.763)	Data 0.001 (0.001)	Loss 2.1664 (2.1909)	Prec@1 43.750 (44.769)	Prec@5 71.875 (75.372)
Epoch: [47][13770/14090]	Time 0.730 (0.763)	Data 0.001 (0.001)	Loss 2.2620 (2.1909)	Prec@1 46.875 (44.766)	Prec@5 74.219 (75.371)
Epoch: [47][13780/14090]	Time 0.736 (0.763)	Data 0.001 (0.001)	Loss 1.9874 (2.1909)	Prec@1 51.562 (44.767)	Prec@5 81.250 (75.371)
Epoch: [47][13790/14090]	Time 0.766 (0.763)	Data 0.001 (0.001)	Loss 2.2087 (2.1910)	Prec@1 40.625 (44.766)	Prec@5 75.781 (75.371)
Epoch: [47][13800/14090]	Time 0.761 (0.763)	Data 0.001 (0.001)	Loss 2.1952 (2.1909)	Prec@1 46.094 (44.766)	Prec@5 77.344 (75.371)
Epoch: [47][13810/14090]	Time 0.866 (0.763)	Data 0.001 (0.001)	Loss 1.8151 (2.1909)	Prec@1 53.125 (44.768)	Prec@5 84.375 (75.371)
Epoch: [47][13820/14090]	Time 0.744 (0.763)	Data 0.001 (0.001)	Loss 2.4509 (2.1909)	Prec@1 43.750 (44.770)	Prec@5 70.312 (75.372)
Epoch: [47][13830/14090]	Time 0.767 (0.763)	Data 0.001 (0.001)	Loss 2.0975 (2.1909)	Prec@1 47.656 (44.770)	Prec@5 75.000 (75.372)
Epoch: [47][13840/14090]	Time 0.733 (0.763)	Data 0.001 (0.001)	Loss 2.0736 (2.1909)	Prec@1 47.656 (44.771)	Prec@5 78.906 (75.373)
Epoch: [47][13850/14090]	Time 0.756 (0.763)	Data 0.001 (0.001)	Loss 2.3206 (2.1909)	Prec@1 43.750 (44.770)	Prec@5 70.312 (75.373)
Epoch: [47][13860/14090]	Time 0.756 (0.763)	Data 0.001 (0.001)	Loss 2.2341 (2.1909)	Prec@1 42.188 (44.769)	Prec@5 78.125 (75.373)
Epoch: [47][13870/14090]	Time 0.739 (0.763)	Data 0.001 (0.001)	Loss 2.3075 (2.1909)	Prec@1 42.969 (44.768)	Prec@5 71.094 (75.373)
Epoch: [47][13880/14090]	Time 0.851 (0.763)	Data 0.001 (0.001)	Loss 2.3144 (2.1909)	Prec@1 36.719 (44.768)	Prec@5 75.000 (75.373)
Epoch: [47][13890/14090]	Time 0.729 (0.763)	Data 0.001 (0.001)	Loss 1.9958 (2.1908)	Prec@1 47.656 (44.771)	Prec@5 78.906 (75.376)
Epoch: [47][13900/14090]	Time 0.727 (0.763)	Data 0.001 (0.001)	Loss 1.9722 (2.1908)	Prec@1 44.531 (44.771)	Prec@5 78.125 (75.376)
Epoch: [47][13910/14090]	Time 0.784 (0.763)	Data 0.001 (0.001)	Loss 2.2008 (2.1909)	Prec@1 45.312 (44.769)	Prec@5 78.906 (75.374)
Epoch: [47][13920/14090]	Time 0.751 (0.763)	Data 0.001 (0.001)	Loss 2.0578 (2.1908)	Prec@1 45.312 (44.771)	Prec@5 77.344 (75.374)
Epoch: [47][13930/14090]	Time 0.730 (0.763)	Data 0.001 (0.001)	Loss 2.3356 (2.1908)	Prec@1 42.188 (44.771)	Prec@5 72.656 (75.375)
Epoch: [47][13940/14090]	Time 0.738 (0.763)	Data 0.001 (0.001)	Loss 2.0607 (2.1908)	Prec@1 50.781 (44.771)	Prec@5 76.562 (75.376)
Epoch: [47][13950/14090]	Time 0.832 (0.763)	Data 0.001 (0.001)	Loss 2.2327 (2.1908)	Prec@1 47.656 (44.771)	Prec@5 79.688 (75.376)
Epoch: [47][13960/14090]	Time 0.740 (0.763)	Data 0.001 (0.001)	Loss 2.1178 (2.1908)	Prec@1 38.281 (44.771)	Prec@5 78.125 (75.376)
Epoch: [47][13970/14090]	Time 0.749 (0.763)	Data 0.001 (0.001)	Loss 2.3105 (2.1908)	Prec@1 45.312 (44.771)	Prec@5 73.438 (75.376)
Epoch: [47][13980/14090]	Time 0.757 (0.763)	Data 0.001 (0.001)	Loss 2.3357 (2.1908)	Prec@1 42.969 (44.772)	Prec@5 75.781 (75.377)
Epoch: [47][13990/14090]	Time 0.723 (0.763)	Data 0.001 (0.001)	Loss 2.0337 (2.1908)	Prec@1 53.906 (44.772)	Prec@5 77.344 (75.376)
Epoch: [47][14000/14090]	Time 0.759 (0.763)	Data 0.001 (0.001)	Loss 2.0032 (2.1908)	Prec@1 47.656 (44.772)	Prec@5 78.906 (75.376)
Epoch: [47][14010/14090]	Time 0.736 (0.763)	Data 0.001 (0.001)	Loss 2.3466 (2.1908)	Prec@1 44.531 (44.771)	Prec@5 73.438 (75.377)
Epoch: [47][14020/14090]	Time 0.852 (0.763)	Data 0.001 (0.001)	Loss 2.1061 (2.1908)	Prec@1 39.844 (44.769)	Prec@5 78.125 (75.375)
Epoch: [47][14030/14090]	Time 0.749 (0.763)	Data 0.001 (0.001)	Loss 2.2537 (2.1908)	Prec@1 41.406 (44.769)	Prec@5 76.562 (75.375)
Epoch: [47][14040/14090]	Time 0.727 (0.763)	Data 0.001 (0.001)	Loss 2.0680 (2.1909)	Prec@1 46.094 (44.768)	Prec@5 77.344 (75.375)
Epoch: [47][14050/14090]	Time 0.746 (0.763)	Data 0.001 (0.001)	Loss 2.4735 (2.1909)	Prec@1 38.281 (44.768)	Prec@5 67.969 (75.375)
Epoch: [47][14060/14090]	Time 0.786 (0.763)	Data 0.001 (0.001)	Loss 2.1649 (2.1910)	Prec@1 44.531 (44.766)	Prec@5 78.125 (75.373)
Epoch: [47][14070/14090]	Time 0.743 (0.763)	Data 0.001 (0.001)	Loss 2.3000 (2.1910)	Prec@1 40.625 (44.765)	Prec@5 72.656 (75.373)
Epoch: [47][14080/14090]	Time 0.755 (0.763)	Data 0.000 (0.001)	Loss 2.1328 (2.1910)	Prec@1 43.750 (44.765)	Prec@5 75.000 (75.372)
Test: [0/286]	Time 4.450 (4.450)	Loss 1.6657 (1.6657)	Prec@1 45.312 (45.312)	Prec@5 96.094 (96.094)
Test: [10/286]	Time 0.397 (0.786)	Loss 1.9880 (2.0020)	Prec@1 46.875 (49.219)	Prec@5 83.594 (81.960)
Test: [20/286]	Time 0.234 (0.592)	Loss 1.5161 (1.8762)	Prec@1 61.719 (51.302)	Prec@5 89.062 (83.780)
Test: [30/286]	Time 0.235 (0.529)	Loss 2.0156 (1.7744)	Prec@1 53.125 (54.360)	Prec@5 76.562 (83.997)
Test: [40/286]	Time 1.508 (0.528)	Loss 1.9414 (1.7969)	Prec@1 42.969 (53.563)	Prec@5 84.375 (83.689)
Test: [50/286]	Time 0.381 (0.504)	Loss 0.7096 (1.8032)	Prec@1 87.500 (53.462)	Prec@5 93.750 (83.624)
Test: [60/286]	Time 0.229 (0.487)	Loss 2.6647 (1.8440)	Prec@1 42.969 (52.907)	Prec@5 66.406 (82.211)
Test: [70/286]	Time 0.232 (0.472)	Loss 1.1530 (1.8238)	Prec@1 68.750 (53.037)	Prec@5 92.188 (82.691)
Test: [80/286]	Time 1.430 (0.478)	Loss 1.9021 (1.8601)	Prec@1 46.094 (51.620)	Prec@5 85.156 (82.205)
Test: [90/286]	Time 0.240 (0.471)	Loss 1.9719 (1.8764)	Prec@1 47.656 (51.279)	Prec@5 82.812 (82.040)
Test: [100/286]	Time 0.345 (0.465)	Loss 2.4999 (1.8947)	Prec@1 27.344 (50.541)	Prec@5 72.656 (81.985)
Test: [110/286]	Time 0.224 (0.458)	Loss 2.2892 (1.9067)	Prec@1 46.094 (50.225)	Prec@5 75.781 (81.996)
Test: [120/286]	Time 1.330 (0.461)	Loss 2.0271 (1.8863)	Prec@1 55.469 (50.891)	Prec@5 78.125 (82.315)
Test: [130/286]	Time 0.246 (0.458)	Loss 0.9889 (1.8762)	Prec@1 69.531 (51.133)	Prec@5 96.094 (82.562)
Test: [140/286]	Time 0.230 (0.453)	Loss 2.2495 (1.8704)	Prec@1 46.094 (51.324)	Prec@5 75.781 (82.607)
Test: [150/286]	Time 0.368 (0.450)	Loss 2.9817 (1.8877)	Prec@1 21.094 (50.781)	Prec@5 67.969 (82.414)
Test: [160/286]	Time 1.476 (0.454)	Loss 2.7663 (1.8867)	Prec@1 23.438 (50.835)	Prec@5 67.969 (82.395)
Test: [170/286]	Time 0.461 (0.452)	Loss 1.8229 (1.8795)	Prec@1 54.688 (50.923)	Prec@5 83.594 (82.488)
Test: [180/286]	Time 0.225 (0.449)	Loss 1.9440 (1.8877)	Prec@1 56.250 (50.803)	Prec@5 79.688 (82.420)
Test: [190/286]	Time 0.236 (0.447)	Loss 2.6667 (1.9013)	Prec@1 21.094 (50.446)	Prec@5 78.906 (82.309)
Test: [200/286]	Time 1.428 (0.450)	Loss 1.8917 (1.8996)	Prec@1 58.594 (50.610)	Prec@5 87.500 (82.284)
Test: [210/286]	Time 0.345 (0.448)	Loss 1.6893 (1.9056)	Prec@1 53.906 (50.400)	Prec@5 84.375 (82.209)
Test: [220/286]	Time 0.234 (0.447)	Loss 3.0602 (1.9133)	Prec@1 21.875 (50.308)	Prec@5 64.844 (82.010)
Test: [230/286]	Time 0.234 (0.445)	Loss 1.2021 (1.9135)	Prec@1 69.531 (50.331)	Prec@5 89.062 (81.899)
Test: [240/286]	Time 1.169 (0.447)	Loss 2.0647 (1.9194)	Prec@1 47.656 (50.240)	Prec@5 79.688 (81.846)
Test: [250/286]	Time 0.231 (0.446)	Loss 1.8046 (1.9094)	Prec@1 48.438 (50.370)	Prec@5 83.594 (82.081)
Test: [260/286]	Time 0.347 (0.445)	Loss 1.6464 (1.8992)	Prec@1 63.281 (50.632)	Prec@5 85.156 (82.238)
Test: [270/286]	Time 0.244 (0.443)	Loss 1.2731 (1.8977)	Prec@1 65.625 (50.686)	Prec@5 92.969 (82.239)
Test: [280/286]	Time 1.098 (0.445)	Loss 1.9861 (1.8843)	Prec@1 55.469 (51.170)	Prec@5 82.031 (82.357)
 * Prec@1 51.292 Prec@5 82.386
Epoch: [48][0/14090]	Time 6.033 (6.033)	Data 5.255 (5.255)	Loss 2.2821 (2.2821)	Prec@1 42.188 (42.188)	Prec@5 75.000 (75.000)
Epoch: [48][10/14090]	Time 0.723 (1.214)	Data 0.001 (0.478)	Loss 2.2412 (2.2249)	Prec@1 47.656 (42.685)	Prec@5 73.438 (76.349)
Epoch: [48][20/14090]	Time 0.743 (0.995)	Data 0.001 (0.251)	Loss 2.1945 (2.1982)	Prec@1 45.312 (43.564)	Prec@5 72.656 (76.339)
Epoch: [48][30/14090]	Time 0.722 (0.913)	Data 0.001 (0.170)	Loss 2.3512 (2.1753)	Prec@1 46.875 (44.153)	Prec@5 73.438 (76.462)
Epoch: [48][40/14090]	Time 0.756 (0.875)	Data 0.001 (0.129)	Loss 1.9111 (2.1859)	Prec@1 48.438 (43.731)	Prec@5 81.250 (76.200)
Epoch: [48][50/14090]	Time 0.722 (0.851)	Data 0.001 (0.104)	Loss 2.5312 (2.1792)	Prec@1 37.500 (43.980)	Prec@5 70.312 (76.180)
Epoch: [48][60/14090]	Time 0.855 (0.838)	Data 0.001 (0.087)	Loss 2.0643 (2.1781)	Prec@1 48.438 (44.160)	Prec@5 73.438 (76.076)
Epoch: [48][70/14090]	Time 0.727 (0.826)	Data 0.001 (0.075)	Loss 2.2213 (2.1641)	Prec@1 43.750 (44.399)	Prec@5 74.219 (76.265)
Epoch: [48][80/14090]	Time 0.721 (0.816)	Data 0.001 (0.066)	Loss 2.7322 (2.1757)	Prec@1 33.594 (44.126)	Prec@5 65.625 (76.003)
Epoch: [48][90/14090]	Time 0.744 (0.811)	Data 0.001 (0.058)	Loss 2.3394 (2.1677)	Prec@1 41.406 (44.368)	Prec@5 69.531 (76.107)
Epoch: [48][100/14090]	Time 0.730 (0.805)	Data 0.001 (0.053)	Loss 2.0681 (2.1543)	Prec@1 45.312 (44.609)	Prec@5 77.344 (76.400)
Epoch: [48][110/14090]	Time 0.750 (0.803)	Data 0.001 (0.048)	Loss 2.3374 (2.1573)	Prec@1 42.188 (44.475)	Prec@5 71.875 (76.309)
Epoch: [48][120/14090]	Time 0.748 (0.799)	Data 0.001 (0.044)	Loss 2.2099 (2.1616)	Prec@1 47.656 (44.531)	Prec@5 73.438 (76.220)
Epoch: [48][130/14090]	Time 0.897 (0.797)	Data 0.001 (0.041)	Loss 2.2111 (2.1588)	Prec@1 42.188 (44.758)	Prec@5 73.438 (76.234)
Epoch: [48][140/14090]	Time 0.724 (0.794)	Data 0.001 (0.038)	Loss 2.1122 (2.1593)	Prec@1 48.438 (44.781)	Prec@5 75.781 (76.197)
Epoch: [48][150/14090]	Time 0.750 (0.791)	Data 0.001 (0.036)	Loss 2.3642 (2.1568)	Prec@1 44.531 (44.919)	Prec@5 69.531 (76.180)
Epoch: [48][160/14090]	Time 0.740 (0.790)	Data 0.001 (0.033)	Loss 2.1834 (2.1553)	Prec@1 50.781 (44.992)	Prec@5 74.219 (76.257)
Epoch: [48][170/14090]	Time 0.753 (0.788)	Data 0.001 (0.031)	Loss 2.5201 (2.1559)	Prec@1 39.844 (45.066)	Prec@5 69.531 (76.188)
Epoch: [48][180/14090]	Time 0.722 (0.787)	Data 0.001 (0.030)	Loss 2.3714 (2.1575)	Prec@1 39.062 (45.036)	Prec@5 66.406 (76.114)
Epoch: [48][190/14090]	Time 0.735 (0.785)	Data 0.001 (0.028)	Loss 1.9857 (2.1569)	Prec@1 43.750 (45.002)	Prec@5 82.031 (76.153)
Epoch: [48][200/14090]	Time 0.890 (0.785)	Data 0.001 (0.027)	Loss 2.0969 (2.1558)	Prec@1 47.656 (44.978)	Prec@5 75.781 (76.178)
Epoch: [48][210/14090]	Time 0.748 (0.783)	Data 0.001 (0.026)	Loss 2.1348 (2.1556)	Prec@1 43.750 (44.950)	Prec@5 80.469 (76.222)
Epoch: [48][220/14090]	Time 0.749 (0.782)	Data 0.001 (0.025)	Loss 2.2822 (2.1581)	Prec@1 39.844 (44.888)	Prec@5 71.875 (76.227)
Epoch: [48][230/14090]	Time 0.743 (0.782)	Data 0.001 (0.024)	Loss 2.1256 (2.1590)	Prec@1 46.875 (44.951)	Prec@5 78.906 (76.228)
Epoch: [48][240/14090]	Time 0.746 (0.781)	Data 0.001 (0.023)	Loss 2.0965 (2.1588)	Prec@1 49.219 (45.027)	Prec@5 77.344 (76.164)
Epoch: [48][250/14090]	Time 0.733 (0.780)	Data 0.001 (0.022)	Loss 1.9065 (2.1559)	Prec@1 48.438 (45.085)	Prec@5 78.125 (76.233)
Epoch: [48][260/14090]	Time 0.760 (0.779)	Data 0.001 (0.021)	Loss 2.1974 (2.1534)	Prec@1 42.188 (45.202)	Prec@5 76.562 (76.287)
Epoch: [48][270/14090]	Time 0.873 (0.779)	Data 0.001 (0.020)	Loss 2.2874 (2.1526)	Prec@1 42.969 (45.212)	Prec@5 75.000 (76.297)
Epoch: [48][280/14090]	Time 0.737 (0.778)	Data 0.001 (0.019)	Loss 1.9265 (2.1522)	Prec@1 52.344 (45.226)	Prec@5 78.906 (76.257)
Epoch: [48][290/14090]	Time 0.723 (0.777)	Data 0.001 (0.019)	Loss 2.3104 (2.1547)	Prec@1 42.969 (45.186)	Prec@5 67.969 (76.187)
Epoch: [48][300/14090]	Time 0.746 (0.777)	Data 0.001 (0.018)	Loss 2.0344 (2.1578)	Prec@1 46.094 (45.118)	Prec@5 78.906 (76.111)
Epoch: [48][310/14090]	Time 0.760 (0.776)	Data 0.001 (0.018)	Loss 2.0924 (2.1599)	Prec@1 50.781 (45.101)	Prec@5 76.562 (76.083)
Epoch: [48][320/14090]	Time 0.767 (0.776)	Data 0.001 (0.017)	Loss 2.2626 (2.1599)	Prec@1 46.094 (45.101)	Prec@5 69.531 (76.083)
Epoch: [48][330/14090]	Time 0.763 (0.775)	Data 0.001 (0.017)	Loss 2.1024 (2.1566)	Prec@1 41.406 (45.133)	Prec@5 78.906 (76.157)
Epoch: [48][340/14090]	Time 0.844 (0.775)	Data 0.001 (0.016)	Loss 2.3172 (2.1567)	Prec@1 41.406 (45.150)	Prec@5 74.219 (76.164)
Epoch: [48][350/14090]	Time 0.736 (0.775)	Data 0.001 (0.016)	Loss 2.3178 (2.1556)	Prec@1 39.062 (45.152)	Prec@5 76.562 (76.209)
Epoch: [48][360/14090]	Time 0.752 (0.774)	Data 0.001 (0.015)	Loss 2.4367 (2.1562)	Prec@1 42.188 (45.168)	Prec@5 70.312 (76.216)
Epoch: [48][370/14090]	Time 0.734 (0.774)	Data 0.001 (0.015)	Loss 2.1198 (2.1570)	Prec@1 42.188 (45.157)	Prec@5 76.562 (76.171)
Epoch: [48][380/14090]	Time 0.732 (0.773)	Data 0.001 (0.015)	Loss 2.2823 (2.1567)	Prec@1 42.969 (45.200)	Prec@5 70.312 (76.179)
Epoch: [48][390/14090]	Time 0.768 (0.773)	Data 0.001 (0.014)	Loss 2.0673 (2.1547)	Prec@1 46.094 (45.257)	Prec@5 76.562 (76.227)
Epoch: [48][400/14090]	Time 0.720 (0.773)	Data 0.001 (0.014)	Loss 2.0399 (2.1548)	Prec@1 43.750 (45.215)	Prec@5 81.250 (76.239)
Epoch: [48][410/14090]	Time 0.845 (0.773)	Data 0.001 (0.014)	Loss 1.6219 (2.1550)	Prec@1 59.375 (45.261)	Prec@5 83.594 (76.239)
Epoch: [48][420/14090]	Time 0.743 (0.772)	Data 0.001 (0.013)	Loss 2.4527 (2.1553)	Prec@1 39.844 (45.261)	Prec@5 66.406 (76.221)
Epoch: [48][430/14090]	Time 0.728 (0.772)	Data 0.001 (0.013)	Loss 2.0090 (2.1565)	Prec@1 45.312 (45.245)	Prec@5 79.688 (76.189)
Epoch: [48][440/14090]	Time 0.735 (0.772)	Data 0.001 (0.013)	Loss 2.0607 (2.1561)	Prec@1 50.000 (45.252)	Prec@5 77.344 (76.190)
Epoch: [48][450/14090]	Time 0.729 (0.771)	Data 0.001 (0.012)	Loss 2.1887 (2.1583)	Prec@1 46.094 (45.231)	Prec@5 73.438 (76.110)
Epoch: [48][460/14090]	Time 0.735 (0.771)	Data 0.001 (0.012)	Loss 2.1676 (2.1602)	Prec@1 37.500 (45.157)	Prec@5 81.250 (76.066)
Epoch: [48][470/14090]	Time 0.751 (0.771)	Data 0.001 (0.012)	Loss 2.0638 (2.1614)	Prec@1 52.344 (45.142)	Prec@5 75.781 (76.055)
Epoch: [48][480/14090]	Time 0.825 (0.771)	Data 0.001 (0.012)	Loss 1.9675 (2.1599)	Prec@1 50.781 (45.200)	Prec@5 75.781 (76.082)
Epoch: [48][490/14090]	Time 0.760 (0.771)	Data 0.001 (0.011)	Loss 2.0671 (2.1604)	Prec@1 43.750 (45.214)	Prec@5 75.000 (76.057)
Epoch: [48][500/14090]	Time 0.734 (0.770)	Data 0.001 (0.011)	Loss 2.1493 (2.1593)	Prec@1 46.875 (45.270)	Prec@5 74.219 (76.056)
Epoch: [48][510/14090]	Time 0.754 (0.771)	Data 0.001 (0.011)	Loss 2.0985 (2.1603)	Prec@1 49.219 (45.259)	Prec@5 78.125 (76.049)
Epoch: [48][520/14090]	Time 0.735 (0.770)	Data 0.001 (0.011)	Loss 2.0634 (2.1602)	Prec@1 48.438 (45.260)	Prec@5 77.344 (76.059)
Epoch: [48][530/14090]	Time 0.758 (0.770)	Data 0.001 (0.011)	Loss 2.5763 (2.1606)	Prec@1 39.062 (45.257)	Prec@5 63.281 (76.045)
Epoch: [48][540/14090]	Time 0.724 (0.770)	Data 0.001 (0.010)	Loss 2.1566 (2.1601)	Prec@1 43.750 (45.285)	Prec@5 73.438 (76.034)
Epoch: [48][550/14090]	Time 0.843 (0.770)	Data 0.001 (0.010)	Loss 2.4901 (2.1604)	Prec@1 42.188 (45.280)	Prec@5 67.969 (75.998)
Epoch: [48][560/14090]	Time 0.767 (0.770)	Data 0.001 (0.010)	Loss 2.5142 (2.1620)	Prec@1 35.938 (45.243)	Prec@5 68.750 (75.957)
Epoch: [48][570/14090]	Time 0.767 (0.770)	Data 0.001 (0.010)	Loss 2.1203 (2.1618)	Prec@1 50.000 (45.245)	Prec@5 75.000 (75.934)
Epoch: [48][580/14090]	Time 0.738 (0.770)	Data 0.001 (0.010)	Loss 2.1366 (2.1630)	Prec@1 42.969 (45.201)	Prec@5 73.438 (75.905)
Epoch: [48][590/14090]	Time 0.743 (0.769)	Data 0.001 (0.010)	Loss 2.0904 (2.1639)	Prec@1 39.844 (45.166)	Prec@5 77.344 (75.888)
Epoch: [48][600/14090]	Time 0.755 (0.769)	Data 0.001 (0.010)	Loss 2.3039 (2.1652)	Prec@1 42.969 (45.133)	Prec@5 74.219 (75.874)
Epoch: [48][610/14090]	Time 0.753 (0.769)	Data 0.001 (0.009)	Loss 2.2714 (2.1651)	Prec@1 42.969 (45.140)	Prec@5 75.000 (75.887)
Epoch: [48][620/14090]	Time 0.872 (0.769)	Data 0.001 (0.009)	Loss 1.9914 (2.1643)	Prec@1 48.438 (45.151)	Prec@5 78.125 (75.928)
Epoch: [48][630/14090]	Time 0.734 (0.769)	Data 0.001 (0.009)	Loss 2.2021 (2.1643)	Prec@1 46.094 (45.152)	Prec@5 75.000 (75.915)
Epoch: [48][640/14090]	Time 0.722 (0.769)	Data 0.001 (0.009)	Loss 1.9928 (2.1646)	Prec@1 46.094 (45.116)	Prec@5 75.781 (75.897)
Epoch: [48][650/14090]	Time 0.738 (0.769)	Data 0.001 (0.009)	Loss 1.8965 (2.1649)	Prec@1 49.219 (45.102)	Prec@5 76.562 (75.899)
Epoch: [48][660/14090]	Time 0.754 (0.768)	Data 0.001 (0.009)	Loss 2.0453 (2.1640)	Prec@1 45.312 (45.121)	Prec@5 78.906 (75.898)
Epoch: [48][670/14090]	Time 0.753 (0.768)	Data 0.001 (0.009)	Loss 2.2967 (2.1647)	Prec@1 46.094 (45.136)	Prec@5 68.750 (75.867)
Epoch: [48][680/14090]	Time 0.764 (0.768)	Data 0.001 (0.008)	Loss 1.9246 (2.1635)	Prec@1 57.812 (45.168)	Prec@5 82.031 (75.882)
Epoch: [48][690/14090]	Time 0.873 (0.768)	Data 0.001 (0.008)	Loss 2.0403 (2.1615)	Prec@1 53.125 (45.208)	Prec@5 78.125 (75.911)
Epoch: [48][700/14090]	Time 0.760 (0.768)	Data 0.001 (0.008)	Loss 2.2385 (2.1612)	Prec@1 48.438 (45.210)	Prec@5 72.656 (75.932)
Epoch: [48][710/14090]	Time 0.758 (0.768)	Data 0.001 (0.008)	Loss 1.9491 (2.1609)	Prec@1 48.438 (45.205)	Prec@5 79.688 (75.922)
Epoch: [48][720/14090]	Time 0.736 (0.768)	Data 0.001 (0.008)	Loss 2.4545 (2.1608)	Prec@1 36.719 (45.215)	Prec@5 71.094 (75.931)
Epoch: [48][730/14090]	Time 0.730 (0.768)	Data 0.001 (0.008)	Loss 2.2651 (2.1612)	Prec@1 45.312 (45.222)	Prec@5 72.656 (75.904)
Epoch: [48][740/14090]	Time 0.756 (0.768)	Data 0.001 (0.008)	Loss 2.5747 (2.1638)	Prec@1 39.062 (45.189)	Prec@5 67.969 (75.874)
Epoch: [48][750/14090]	Time 0.777 (0.768)	Data 0.001 (0.008)	Loss 2.1466 (2.1650)	Prec@1 48.438 (45.161)	Prec@5 75.000 (75.852)
Epoch: [48][760/14090]	Time 0.857 (0.768)	Data 0.001 (0.008)	Loss 2.1798 (2.1652)	Prec@1 46.094 (45.154)	Prec@5 73.438 (75.858)
Epoch: [48][770/14090]	Time 0.725 (0.768)	Data 0.001 (0.008)	Loss 2.2181 (2.1655)	Prec@1 49.219 (45.146)	Prec@5 74.219 (75.862)
Epoch: [48][780/14090]	Time 0.725 (0.767)	Data 0.001 (0.008)	Loss 2.0203 (2.1653)	Prec@1 46.875 (45.175)	Prec@5 78.906 (75.872)
Epoch: [48][790/14090]	Time 0.742 (0.768)	Data 0.001 (0.007)	Loss 2.3065 (2.1654)	Prec@1 43.750 (45.178)	Prec@5 73.438 (75.860)
Epoch: [48][800/14090]	Time 0.774 (0.767)	Data 0.001 (0.007)	Loss 2.0498 (2.1648)	Prec@1 53.125 (45.200)	Prec@5 73.438 (75.873)
Epoch: [48][810/14090]	Time 0.738 (0.767)	Data 0.001 (0.007)	Loss 1.9100 (2.1649)	Prec@1 53.125 (45.179)	Prec@5 78.125 (75.878)
Epoch: [48][820/14090]	Time 0.741 (0.767)	Data 0.001 (0.007)	Loss 2.3584 (2.1647)	Prec@1 40.625 (45.189)	Prec@5 70.312 (75.882)
Epoch: [48][830/14090]	Time 0.878 (0.767)	Data 0.001 (0.007)	Loss 2.4322 (2.1657)	Prec@1 37.500 (45.158)	Prec@5 74.219 (75.879)
Epoch: [48][840/14090]	Time 0.735 (0.767)	Data 0.001 (0.007)	Loss 2.5944 (2.1657)	Prec@1 35.156 (45.163)	Prec@5 69.531 (75.882)
Epoch: [48][850/14090]	Time 0.741 (0.767)	Data 0.001 (0.007)	Loss 2.3521 (2.1663)	Prec@1 39.062 (45.135)	Prec@5 71.875 (75.883)
Epoch: [48][860/14090]	Time 0.724 (0.767)	Data 0.001 (0.007)	Loss 2.1379 (2.1652)	Prec@1 44.531 (45.152)	Prec@5 78.906 (75.903)
Epoch: [48][870/14090]	Time 0.754 (0.767)	Data 0.001 (0.007)	Loss 2.1556 (2.1654)	Prec@1 46.875 (45.149)	Prec@5 79.688 (75.891)
Epoch: [48][880/14090]	Time 0.763 (0.767)	Data 0.001 (0.007)	Loss 2.2773 (2.1659)	Prec@1 50.000 (45.148)	Prec@5 74.219 (75.879)
Epoch: [48][890/14090]	Time 0.743 (0.767)	Data 0.001 (0.007)	Loss 2.1761 (2.1662)	Prec@1 48.438 (45.146)	Prec@5 76.562 (75.881)
Epoch: [48][900/14090]	Time 0.900 (0.768)	Data 0.001 (0.007)	Loss 2.1891 (2.1663)	Prec@1 37.500 (45.138)	Prec@5 78.906 (75.884)
Epoch: [48][910/14090]	Time 0.757 (0.768)	Data 0.001 (0.007)	Loss 2.0056 (2.1672)	Prec@1 45.312 (45.128)	Prec@5 82.812 (75.876)
Epoch: [48][920/14090]	Time 0.752 (0.767)	Data 0.001 (0.007)	Loss 2.2601 (2.1680)	Prec@1 46.094 (45.142)	Prec@5 73.438 (75.859)
Epoch: [48][930/14090]	Time 0.726 (0.768)	Data 0.002 (0.006)	Loss 2.1427 (2.1678)	Prec@1 43.750 (45.152)	Prec@5 71.094 (75.853)
Epoch: [48][940/14090]	Time 0.739 (0.768)	Data 0.001 (0.006)	Loss 1.9500 (2.1676)	Prec@1 45.312 (45.149)	Prec@5 81.250 (75.868)
Epoch: [48][950/14090]	Time 0.732 (0.768)	Data 0.001 (0.006)	Loss 2.3097 (2.1681)	Prec@1 38.281 (45.128)	Prec@5 72.656 (75.859)
Epoch: [48][960/14090]	Time 0.758 (0.768)	Data 0.001 (0.006)	Loss 2.1348 (2.1681)	Prec@1 46.094 (45.124)	Prec@5 80.469 (75.863)
Epoch: [48][970/14090]	Time 0.879 (0.768)	Data 0.001 (0.006)	Loss 1.9249 (2.1664)	Prec@1 48.438 (45.156)	Prec@5 75.781 (75.884)
Epoch: [48][980/14090]	Time 0.752 (0.768)	Data 0.001 (0.006)	Loss 2.0987 (2.1668)	Prec@1 47.656 (45.137)	Prec@5 78.906 (75.889)
Epoch: [48][990/14090]	Time 0.744 (0.768)	Data 0.001 (0.006)	Loss 2.2027 (2.1676)	Prec@1 42.969 (45.125)	Prec@5 76.562 (75.873)
Epoch: [48][1000/14090]	Time 0.778 (0.768)	Data 0.001 (0.006)	Loss 1.9150 (2.1672)	Prec@1 50.000 (45.124)	Prec@5 83.594 (75.891)
Epoch: [48][1010/14090]	Time 0.748 (0.768)	Data 0.001 (0.006)	Loss 2.3018 (2.1672)	Prec@1 41.406 (45.120)	Prec@5 78.125 (75.899)
Epoch: [48][1020/14090]	Time 0.722 (0.768)	Data 0.001 (0.006)	Loss 2.5315 (2.1669)	Prec@1 42.969 (45.139)	Prec@5 66.406 (75.903)
Epoch: [48][1030/14090]	Time 0.730 (0.768)	Data 0.002 (0.006)	Loss 1.9697 (2.1666)	Prec@1 50.000 (45.140)	Prec@5 78.125 (75.906)
Epoch: [48][1040/14090]	Time 1.088 (0.768)	Data 0.001 (0.006)	Loss 1.9989 (2.1659)	Prec@1 49.219 (45.150)	Prec@5 81.250 (75.937)
Epoch: [48][1050/14090]	Time 0.729 (0.768)	Data 0.001 (0.006)	Loss 1.7840 (2.1659)	Prec@1 53.125 (45.165)	Prec@5 78.906 (75.927)
Epoch: [48][1060/14090]	Time 0.774 (0.768)	Data 0.001 (0.006)	Loss 2.2726 (2.1662)	Prec@1 44.531 (45.156)	Prec@5 71.875 (75.915)
Epoch: [48][1070/14090]	Time 0.774 (0.768)	Data 0.001 (0.006)	Loss 2.3276 (2.1665)	Prec@1 50.781 (45.151)	Prec@5 75.000 (75.918)
Epoch: [48][1080/14090]	Time 0.755 (0.768)	Data 0.001 (0.006)	Loss 2.1982 (2.1670)	Prec@1 42.188 (45.145)	Prec@5 72.656 (75.901)
Epoch: [48][1090/14090]	Time 0.742 (0.768)	Data 0.001 (0.006)	Loss 2.0144 (2.1669)	Prec@1 49.219 (45.139)	Prec@5 78.906 (75.902)
Epoch: [48][1100/14090]	Time 0.727 (0.768)	Data 0.001 (0.006)	Loss 2.1242 (2.1670)	Prec@1 49.219 (45.124)	Prec@5 75.000 (75.911)
Epoch: [48][1110/14090]	Time 0.846 (0.768)	Data 0.001 (0.006)	Loss 2.3726 (2.1677)	Prec@1 45.312 (45.107)	Prec@5 68.750 (75.896)
Epoch: [48][1120/14090]	Time 0.762 (0.768)	Data 0.001 (0.006)	Loss 1.8707 (2.1672)	Prec@1 48.438 (45.114)	Prec@5 81.250 (75.902)
Epoch: [48][1130/14090]	Time 0.748 (0.768)	Data 0.001 (0.005)	Loss 2.3095 (2.1673)	Prec@1 43.750 (45.118)	Prec@5 75.000 (75.905)
Epoch: [48][1140/14090]	Time 0.729 (0.768)	Data 0.001 (0.005)	Loss 2.1046 (2.1677)	Prec@1 47.656 (45.115)	Prec@5 76.562 (75.895)
Epoch: [48][1150/14090]	Time 0.771 (0.768)	Data 0.001 (0.005)	Loss 1.7807 (2.1673)	Prec@1 53.906 (45.120)	Prec@5 84.375 (75.903)
Epoch: [48][1160/14090]	Time 0.769 (0.768)	Data 0.001 (0.005)	Loss 2.0229 (2.1680)	Prec@1 46.875 (45.105)	Prec@5 80.469 (75.894)
Epoch: [48][1170/14090]	Time 0.755 (0.768)	Data 0.001 (0.005)	Loss 2.3400 (2.1680)	Prec@1 38.281 (45.100)	Prec@5 74.219 (75.888)
Epoch: [48][1180/14090]	Time 0.837 (0.768)	Data 0.001 (0.005)	Loss 2.2267 (2.1677)	Prec@1 41.406 (45.096)	Prec@5 77.344 (75.892)
Epoch: [48][1190/14090]	Time 0.739 (0.768)	Data 0.001 (0.005)	Loss 1.9274 (2.1667)	Prec@1 45.312 (45.124)	Prec@5 81.250 (75.912)
Epoch: [48][1200/14090]	Time 0.758 (0.768)	Data 0.001 (0.005)	Loss 2.3068 (2.1669)	Prec@1 42.969 (45.132)	Prec@5 71.875 (75.915)
Epoch: [48][1210/14090]	Time 0.746 (0.768)	Data 0.001 (0.005)	Loss 2.0341 (2.1665)	Prec@1 49.219 (45.142)	Prec@5 75.000 (75.919)
Epoch: [48][1220/14090]	Time 0.747 (0.768)	Data 0.001 (0.005)	Loss 2.2114 (2.1667)	Prec@1 47.656 (45.133)	Prec@5 74.219 (75.918)
Epoch: [48][1230/14090]	Time 0.764 (0.768)	Data 0.001 (0.005)	Loss 2.2866 (2.1677)	Prec@1 42.969 (45.114)	Prec@5 74.219 (75.891)
Epoch: [48][1240/14090]	Time 0.739 (0.768)	Data 0.001 (0.005)	Loss 2.3120 (2.1681)	Prec@1 42.969 (45.112)	Prec@5 71.875 (75.890)
Epoch: [48][1250/14090]	Time 0.927 (0.768)	Data 0.001 (0.005)	Loss 2.5277 (2.1683)	Prec@1 41.406 (45.106)	Prec@5 75.781 (75.887)
Epoch: [48][1260/14090]	Time 0.727 (0.768)	Data 0.001 (0.005)	Loss 2.1845 (2.1684)	Prec@1 42.188 (45.107)	Prec@5 72.656 (75.888)
Epoch: [48][1270/14090]	Time 0.739 (0.768)	Data 0.001 (0.005)	Loss 2.2834 (2.1685)	Prec@1 40.625 (45.098)	Prec@5 73.438 (75.879)
Epoch: [48][1280/14090]	Time 0.754 (0.768)	Data 0.001 (0.005)	Loss 2.1894 (2.1683)	Prec@1 41.406 (45.105)	Prec@5 77.344 (75.884)
Epoch: [48][1290/14090]	Time 0.750 (0.768)	Data 0.001 (0.005)	Loss 2.2788 (2.1687)	Prec@1 44.531 (45.115)	Prec@5 77.344 (75.874)
Epoch: [48][1300/14090]	Time 0.726 (0.768)	Data 0.002 (0.005)	Loss 2.1305 (2.1689)	Prec@1 42.969 (45.112)	Prec@5 76.562 (75.859)
Epoch: [48][1310/14090]	Time 0.750 (0.768)	Data 0.001 (0.005)	Loss 2.5580 (2.1690)	Prec@1 38.281 (45.121)	Prec@5 67.969 (75.855)
Epoch: [48][1320/14090]	Time 0.890 (0.768)	Data 0.001 (0.005)	Loss 2.4100 (2.1696)	Prec@1 42.969 (45.120)	Prec@5 76.562 (75.853)
Epoch: [48][1330/14090]	Time 0.741 (0.767)	Data 0.001 (0.005)	Loss 2.2460 (2.1700)	Prec@1 47.656 (45.121)	Prec@5 78.125 (75.860)
Epoch: [48][1340/14090]	Time 0.758 (0.767)	Data 0.001 (0.005)	Loss 2.2397 (2.1697)	Prec@1 41.406 (45.118)	Prec@5 79.688 (75.865)
Epoch: [48][1350/14090]	Time 0.757 (0.768)	Data 0.001 (0.005)	Loss 2.1236 (2.1699)	Prec@1 46.094 (45.110)	Prec@5 75.781 (75.847)
Epoch: [48][1360/14090]	Time 0.743 (0.767)	Data 0.001 (0.005)	Loss 2.1486 (2.1699)	Prec@1 42.969 (45.115)	Prec@5 78.906 (75.849)
Epoch: [48][1370/14090]	Time 0.788 (0.768)	Data 0.001 (0.005)	Loss 2.1521 (2.1695)	Prec@1 43.750 (45.124)	Prec@5 78.125 (75.858)
Epoch: [48][1380/14090]	Time 0.756 (0.768)	Data 0.001 (0.005)	Loss 2.4062 (2.1692)	Prec@1 39.062 (45.134)	Prec@5 71.094 (75.860)
Epoch: [48][1390/14090]	Time 0.915 (0.768)	Data 0.001 (0.005)	Loss 2.3041 (2.1694)	Prec@1 45.312 (45.131)	Prec@5 71.875 (75.850)
Epoch: [48][1400/14090]	Time 0.747 (0.768)	Data 0.001 (0.005)	Loss 2.2496 (2.1696)	Prec@1 41.406 (45.133)	Prec@5 76.562 (75.851)
Epoch: [48][1410/14090]	Time 0.725 (0.768)	Data 0.001 (0.005)	Loss 2.3859 (2.1699)	Prec@1 42.188 (45.132)	Prec@5 71.875 (75.842)
Epoch: [48][1420/14090]	Time 0.732 (0.768)	Data 0.001 (0.005)	Loss 2.0547 (2.1702)	Prec@1 46.875 (45.123)	Prec@5 81.250 (75.833)
Epoch: [48][1430/14090]	Time 0.738 (0.768)	Data 0.001 (0.005)	Loss 2.0037 (2.1711)	Prec@1 51.562 (45.114)	Prec@5 77.344 (75.816)
Epoch: [48][1440/14090]	Time 0.751 (0.768)	Data 0.002 (0.004)	Loss 2.0993 (2.1709)	Prec@1 39.062 (45.102)	Prec@5 75.000 (75.811)
Epoch: [48][1450/14090]	Time 0.739 (0.768)	Data 0.001 (0.004)	Loss 1.9475 (2.1701)	Prec@1 48.438 (45.130)	Prec@5 78.906 (75.821)
Epoch: [48][1460/14090]	Time 0.935 (0.768)	Data 0.001 (0.004)	Loss 2.3360 (2.1701)	Prec@1 40.625 (45.127)	Prec@5 71.094 (75.816)
Epoch: [48][1470/14090]	Time 0.724 (0.768)	Data 0.001 (0.004)	Loss 2.1126 (2.1703)	Prec@1 44.531 (45.121)	Prec@5 78.906 (75.810)
Epoch: [48][1480/14090]	Time 0.754 (0.768)	Data 0.001 (0.004)	Loss 2.1916 (2.1705)	Prec@1 43.750 (45.109)	Prec@5 74.219 (75.814)
Epoch: [48][1490/14090]	Time 0.731 (0.768)	Data 0.001 (0.004)	Loss 1.9704 (2.1700)	Prec@1 51.562 (45.119)	Prec@5 77.344 (75.825)
Epoch: [48][1500/14090]	Time 0.738 (0.767)	Data 0.001 (0.004)	Loss 2.5426 (2.1702)	Prec@1 42.969 (45.120)	Prec@5 67.969 (75.823)
Epoch: [48][1510/14090]	Time 0.748 (0.767)	Data 0.001 (0.004)	Loss 2.2371 (2.1707)	Prec@1 39.062 (45.104)	Prec@5 74.219 (75.814)
Epoch: [48][1520/14090]	Time 0.738 (0.767)	Data 0.001 (0.004)	Loss 2.3121 (2.1716)	Prec@1 43.750 (45.088)	Prec@5 75.781 (75.794)
Epoch: [48][1530/14090]	Time 0.870 (0.768)	Data 0.001 (0.004)	Loss 2.1350 (2.1717)	Prec@1 47.656 (45.100)	Prec@5 79.688 (75.798)
Epoch: [48][1540/14090]	Time 0.729 (0.767)	Data 0.001 (0.004)	Loss 2.4242 (2.1717)	Prec@1 39.062 (45.101)	Prec@5 72.656 (75.795)
Epoch: [48][1550/14090]	Time 0.725 (0.767)	Data 0.001 (0.004)	Loss 2.3311 (2.1715)	Prec@1 42.188 (45.108)	Prec@5 72.656 (75.797)
Epoch: [48][1560/14090]	Time 0.771 (0.767)	Data 0.001 (0.004)	Loss 1.9978 (2.1717)	Prec@1 46.875 (45.107)	Prec@5 79.688 (75.792)
Epoch: [48][1570/14090]	Time 0.755 (0.767)	Data 0.001 (0.004)	Loss 1.9706 (2.1718)	Prec@1 51.562 (45.113)	Prec@5 82.031 (75.786)
Epoch: [48][1580/14090]	Time 0.722 (0.767)	Data 0.001 (0.004)	Loss 2.2861 (2.1714)	Prec@1 38.281 (45.119)	Prec@5 71.875 (75.791)
Epoch: [48][1590/14090]	Time 0.737 (0.767)	Data 0.001 (0.004)	Loss 2.2679 (2.1717)	Prec@1 46.094 (45.114)	Prec@5 73.438 (75.780)
Epoch: [48][1600/14090]	Time 0.869 (0.767)	Data 0.001 (0.004)	Loss 1.8441 (2.1709)	Prec@1 50.000 (45.126)	Prec@5 81.250 (75.792)
Epoch: [48][1610/14090]	Time 0.752 (0.767)	Data 0.001 (0.004)	Loss 1.9957 (2.1712)	Prec@1 52.344 (45.119)	Prec@5 79.688 (75.794)
Epoch: [48][1620/14090]	Time 0.743 (0.767)	Data 0.001 (0.004)	Loss 2.3333 (2.1715)	Prec@1 41.406 (45.111)	Prec@5 70.312 (75.793)
Epoch: [48][1630/14090]	Time 0.734 (0.767)	Data 0.001 (0.004)	Loss 2.2126 (2.1717)	Prec@1 42.969 (45.101)	Prec@5 75.000 (75.779)
Epoch: [48][1640/14090]	Time 0.729 (0.767)	Data 0.001 (0.004)	Loss 2.2606 (2.1719)	Prec@1 43.750 (45.099)	Prec@5 75.781 (75.778)
Epoch: [48][1650/14090]	Time 0.751 (0.767)	Data 0.001 (0.004)	Loss 2.2251 (2.1724)	Prec@1 46.875 (45.101)	Prec@5 71.875 (75.772)
Epoch: [48][1660/14090]	Time 0.752 (0.767)	Data 0.001 (0.004)	Loss 2.2384 (2.1722)	Prec@1 40.625 (45.098)	Prec@5 74.219 (75.778)
Epoch: [48][1670/14090]	Time 0.867 (0.767)	Data 0.001 (0.004)	Loss 2.2913 (2.1722)	Prec@1 47.656 (45.100)	Prec@5 71.875 (75.774)
Epoch: [48][1680/14090]	Time 0.744 (0.767)	Data 0.001 (0.004)	Loss 1.9986 (2.1720)	Prec@1 50.000 (45.097)	Prec@5 83.594 (75.789)
Epoch: [48][1690/14090]	Time 0.751 (0.767)	Data 0.001 (0.004)	Loss 2.1925 (2.1722)	Prec@1 49.219 (45.099)	Prec@5 77.344 (75.785)
Epoch: [48][1700/14090]	Time 0.729 (0.767)	Data 0.001 (0.004)	Loss 2.0776 (2.1720)	Prec@1 42.969 (45.101)	Prec@5 79.688 (75.790)
Epoch: [48][1710/14090]	Time 0.764 (0.767)	Data 0.001 (0.004)	Loss 2.0957 (2.1714)	Prec@1 44.531 (45.113)	Prec@5 75.000 (75.786)
Epoch: [48][1720/14090]	Time 0.724 (0.767)	Data 0.001 (0.004)	Loss 2.0282 (2.1710)	Prec@1 43.750 (45.120)	Prec@5 81.250 (75.791)
Epoch: [48][1730/14090]	Time 0.748 (0.767)	Data 0.001 (0.004)	Loss 2.0023 (2.1710)	Prec@1 50.000 (45.119)	Prec@5 78.906 (75.791)
Epoch: [48][1740/14090]	Time 0.881 (0.767)	Data 0.001 (0.004)	Loss 2.1184 (2.1709)	Prec@1 48.438 (45.119)	Prec@5 75.781 (75.792)
Epoch: [48][1750/14090]	Time 0.735 (0.767)	Data 0.001 (0.004)	Loss 2.1190 (2.1708)	Prec@1 47.656 (45.133)	Prec@5 79.688 (75.794)
Epoch: [48][1760/14090]	Time 0.772 (0.767)	Data 0.001 (0.004)	Loss 1.8669 (2.1710)	Prec@1 54.688 (45.135)	Prec@5 84.375 (75.777)
Epoch: [48][1770/14090]	Time 0.726 (0.767)	Data 0.001 (0.004)	Loss 2.0929 (2.1706)	Prec@1 46.094 (45.142)	Prec@5 78.125 (75.782)
Epoch: [48][1780/14090]	Time 0.739 (0.767)	Data 0.001 (0.004)	Loss 2.1093 (2.1703)	Prec@1 41.406 (45.147)	Prec@5 79.688 (75.774)
Epoch: [48][1790/14090]	Time 0.761 (0.767)	Data 0.001 (0.004)	Loss 2.1979 (2.1701)	Prec@1 43.750 (45.148)	Prec@5 76.562 (75.777)
Epoch: [48][1800/14090]	Time 0.772 (0.767)	Data 0.001 (0.004)	Loss 2.1361 (2.1696)	Prec@1 41.406 (45.155)	Prec@5 81.250 (75.791)
Epoch: [48][1810/14090]	Time 0.805 (0.767)	Data 0.001 (0.004)	Loss 2.0421 (2.1696)	Prec@1 46.094 (45.159)	Prec@5 78.906 (75.791)
Epoch: [48][1820/14090]	Time 0.734 (0.767)	Data 0.001 (0.004)	Loss 2.0805 (2.1695)	Prec@1 44.531 (45.159)	Prec@5 76.562 (75.787)
Epoch: [48][1830/14090]	Time 0.731 (0.767)	Data 0.001 (0.004)	Loss 2.2364 (2.1699)	Prec@1 46.094 (45.161)	Prec@5 75.000 (75.780)
Epoch: [48][1840/14090]	Time 0.768 (0.767)	Data 0.002 (0.004)	Loss 2.0101 (2.1696)	Prec@1 51.562 (45.172)	Prec@5 82.031 (75.784)
Epoch: [48][1850/14090]	Time 0.730 (0.767)	Data 0.001 (0.004)	Loss 2.2366 (2.1696)	Prec@1 42.188 (45.172)	Prec@5 71.875 (75.784)
Epoch: [48][1860/14090]	Time 0.768 (0.767)	Data 0.001 (0.004)	Loss 2.2655 (2.1700)	Prec@1 42.969 (45.174)	Prec@5 68.750 (75.770)
Epoch: [48][1870/14090]	Time 0.782 (0.767)	Data 0.001 (0.004)	Loss 2.0847 (2.1697)	Prec@1 42.969 (45.182)	Prec@5 75.781 (75.768)
Epoch: [48][1880/14090]	Time 0.875 (0.767)	Data 0.001 (0.004)	Loss 2.1191 (2.1697)	Prec@1 48.438 (45.187)	Prec@5 75.781 (75.772)
Epoch: [48][1890/14090]	Time 0.765 (0.767)	Data 0.001 (0.004)	Loss 2.2274 (2.1697)	Prec@1 44.531 (45.187)	Prec@5 73.438 (75.775)
Epoch: [48][1900/14090]	Time 0.753 (0.767)	Data 0.001 (0.004)	Loss 2.4551 (2.1700)	Prec@1 38.281 (45.173)	Prec@5 69.531 (75.767)
Epoch: [48][1910/14090]	Time 0.732 (0.767)	Data 0.001 (0.004)	Loss 2.2239 (2.1701)	Prec@1 36.719 (45.171)	Prec@5 73.438 (75.766)
Epoch: [48][1920/14090]	Time 0.743 (0.767)	Data 0.001 (0.004)	Loss 2.5629 (2.1703)	Prec@1 39.062 (45.159)	Prec@5 67.188 (75.767)
Epoch: [48][1930/14090]	Time 0.749 (0.767)	Data 0.001 (0.004)	Loss 2.1542 (2.1702)	Prec@1 46.094 (45.160)	Prec@5 78.125 (75.772)
Epoch: [48][1940/14090]	Time 0.739 (0.767)	Data 0.001 (0.004)	Loss 2.0988 (2.1707)	Prec@1 45.312 (45.149)	Prec@5 77.344 (75.763)
Epoch: [48][1950/14090]	Time 0.884 (0.767)	Data 0.001 (0.004)	Loss 2.3050 (2.1705)	Prec@1 46.094 (45.156)	Prec@5 71.094 (75.759)
Epoch: [48][1960/14090]	Time 0.733 (0.767)	Data 0.001 (0.004)	Loss 2.0496 (2.1707)	Prec@1 47.656 (45.145)	Prec@5 76.562 (75.759)
Epoch: [48][1970/14090]	Time 0.779 (0.766)	Data 0.001 (0.004)	Loss 2.3905 (2.1709)	Prec@1 46.094 (45.145)	Prec@5 71.875 (75.751)
Epoch: [48][1980/14090]	Time 0.732 (0.766)	Data 0.001 (0.003)	Loss 2.0392 (2.1706)	Prec@1 47.656 (45.159)	Prec@5 75.781 (75.755)
Epoch: [48][1990/14090]	Time 0.723 (0.766)	Data 0.001 (0.003)	Loss 2.2876 (2.1707)	Prec@1 39.844 (45.150)	Prec@5 73.438 (75.755)
Epoch: [48][2000/14090]	Time 0.756 (0.766)	Data 0.001 (0.003)	Loss 1.9493 (2.1705)	Prec@1 50.781 (45.157)	Prec@5 78.906 (75.764)
Epoch: [48][2010/14090]	Time 0.741 (0.766)	Data 0.001 (0.003)	Loss 2.0022 (2.1704)	Prec@1 46.875 (45.165)	Prec@5 78.906 (75.772)
Epoch: [48][2020/14090]	Time 0.860 (0.766)	Data 0.001 (0.003)	Loss 2.0330 (2.1699)	Prec@1 52.344 (45.181)	Prec@5 84.375 (75.779)
Epoch: [48][2030/14090]	Time 0.766 (0.766)	Data 0.001 (0.003)	Loss 2.2198 (2.1700)	Prec@1 41.406 (45.179)	Prec@5 75.000 (75.776)
Epoch: [48][2040/14090]	Time 0.728 (0.766)	Data 0.001 (0.003)	Loss 2.1863 (2.1704)	Prec@1 39.844 (45.168)	Prec@5 77.344 (75.767)
Epoch: [48][2050/14090]	Time 0.723 (0.766)	Data 0.001 (0.003)	Loss 2.4222 (2.1707)	Prec@1 41.406 (45.161)	Prec@5 70.312 (75.761)
Epoch: [48][2060/14090]	Time 0.737 (0.766)	Data 0.001 (0.003)	Loss 1.9358 (2.1705)	Prec@1 50.000 (45.168)	Prec@5 81.250 (75.762)
Epoch: [48][2070/14090]	Time 0.755 (0.766)	Data 0.001 (0.003)	Loss 2.2807 (2.1703)	Prec@1 35.938 (45.174)	Prec@5 75.781 (75.767)
Epoch: [48][2080/14090]	Time 0.737 (0.766)	Data 0.001 (0.003)	Loss 2.2505 (2.1702)	Prec@1 42.969 (45.184)	Prec@5 70.312 (75.766)
Epoch: [48][2090/14090]	Time 0.815 (0.766)	Data 0.001 (0.003)	Loss 2.3415 (2.1703)	Prec@1 39.844 (45.183)	Prec@5 73.438 (75.764)
Epoch: [48][2100/14090]	Time 0.726 (0.766)	Data 0.001 (0.003)	Loss 2.3272 (2.1701)	Prec@1 38.281 (45.180)	Prec@5 73.438 (75.767)
Epoch: [48][2110/14090]	Time 0.742 (0.766)	Data 0.001 (0.003)	Loss 2.3421 (2.1700)	Prec@1 42.969 (45.181)	Prec@5 70.312 (75.759)
Epoch: [48][2120/14090]	Time 0.729 (0.766)	Data 0.002 (0.003)	Loss 2.1065 (2.1703)	Prec@1 50.000 (45.175)	Prec@5 76.562 (75.753)
Epoch: [48][2130/14090]	Time 0.744 (0.766)	Data 0.001 (0.003)	Loss 2.1130 (2.1701)	Prec@1 45.312 (45.177)	Prec@5 78.906 (75.755)
Epoch: [48][2140/14090]	Time 0.766 (0.766)	Data 0.001 (0.003)	Loss 2.0866 (2.1702)	Prec@1 50.000 (45.180)	Prec@5 77.344 (75.754)
Epoch: [48][2150/14090]	Time 0.724 (0.766)	Data 0.001 (0.003)	Loss 2.2311 (2.1701)	Prec@1 41.406 (45.177)	Prec@5 72.656 (75.757)
Epoch: [48][2160/14090]	Time 0.878 (0.766)	Data 0.001 (0.003)	Loss 2.0181 (2.1706)	Prec@1 55.469 (45.177)	Prec@5 85.156 (75.749)
Epoch: [48][2170/14090]	Time 0.756 (0.766)	Data 0.001 (0.003)	Loss 2.4003 (2.1706)	Prec@1 36.719 (45.174)	Prec@5 75.000 (75.759)
Epoch: [48][2180/14090]	Time 0.761 (0.766)	Data 0.001 (0.003)	Loss 2.0551 (2.1708)	Prec@1 46.875 (45.170)	Prec@5 78.906 (75.754)
Epoch: [48][2190/14090]	Time 0.743 (0.766)	Data 0.004 (0.003)	Loss 2.1907 (2.1707)	Prec@1 41.406 (45.171)	Prec@5 76.562 (75.756)
Epoch: [48][2200/14090]	Time 0.748 (0.766)	Data 0.001 (0.003)	Loss 2.4676 (2.1708)	Prec@1 43.750 (45.163)	Prec@5 67.969 (75.752)
Epoch: [48][2210/14090]	Time 0.746 (0.766)	Data 0.001 (0.003)	Loss 1.9859 (2.1705)	Prec@1 44.531 (45.171)	Prec@5 81.250 (75.760)
Epoch: [48][2220/14090]	Time 0.746 (0.766)	Data 0.001 (0.003)	Loss 2.0006 (2.1703)	Prec@1 48.438 (45.175)	Prec@5 78.125 (75.764)
Epoch: [48][2230/14090]	Time 0.907 (0.766)	Data 0.001 (0.003)	Loss 2.0657 (2.1705)	Prec@1 50.781 (45.175)	Prec@5 79.688 (75.759)
Epoch: [48][2240/14090]	Time 0.731 (0.766)	Data 0.001 (0.003)	Loss 1.9874 (2.1705)	Prec@1 43.750 (45.181)	Prec@5 79.688 (75.758)
Epoch: [48][2250/14090]	Time 0.760 (0.766)	Data 0.001 (0.003)	Loss 2.4589 (2.1708)	Prec@1 41.406 (45.178)	Prec@5 67.969 (75.749)
Epoch: [48][2260/14090]	Time 0.736 (0.766)	Data 0.001 (0.003)	Loss 2.0121 (2.1706)	Prec@1 45.312 (45.186)	Prec@5 82.812 (75.756)
Epoch: [48][2270/14090]	Time 0.765 (0.766)	Data 0.001 (0.003)	Loss 2.1524 (2.1707)	Prec@1 48.438 (45.187)	Prec@5 75.000 (75.755)
Epoch: [48][2280/14090]	Time 0.730 (0.766)	Data 0.001 (0.003)	Loss 2.0676 (2.1708)	Prec@1 43.750 (45.188)	Prec@5 78.906 (75.755)
Epoch: [48][2290/14090]	Time 0.760 (0.766)	Data 0.001 (0.003)	Loss 2.3332 (2.1712)	Prec@1 44.531 (45.179)	Prec@5 70.312 (75.749)
Epoch: [48][2300/14090]	Time 0.870 (0.766)	Data 0.001 (0.003)	Loss 2.3597 (2.1711)	Prec@1 47.656 (45.178)	Prec@5 71.094 (75.751)
Epoch: [48][2310/14090]	Time 0.732 (0.766)	Data 0.001 (0.003)	Loss 2.3674 (2.1713)	Prec@1 41.406 (45.171)	Prec@5 72.656 (75.744)
Epoch: [48][2320/14090]	Time 0.735 (0.766)	Data 0.001 (0.003)	Loss 2.0587 (2.1714)	Prec@1 48.438 (45.164)	Prec@5 79.688 (75.742)
Epoch: [48][2330/14090]	Time 0.752 (0.766)	Data 0.001 (0.003)	Loss 2.1298 (2.1715)	Prec@1 48.438 (45.164)	Prec@5 77.344 (75.736)
Epoch: [48][2340/14090]	Time 0.751 (0.766)	Data 0.001 (0.003)	Loss 2.1644 (2.1717)	Prec@1 46.094 (45.161)	Prec@5 80.469 (75.740)
Epoch: [48][2350/14090]	Time 0.735 (0.766)	Data 0.001 (0.003)	Loss 2.0312 (2.1714)	Prec@1 50.000 (45.169)	Prec@5 75.000 (75.744)
Epoch: [48][2360/14090]	Time 0.723 (0.766)	Data 0.001 (0.003)	Loss 2.0374 (2.1715)	Prec@1 50.781 (45.170)	Prec@5 77.344 (75.746)
Epoch: [48][2370/14090]	Time 0.876 (0.766)	Data 0.001 (0.003)	Loss 2.3041 (2.1713)	Prec@1 40.625 (45.174)	Prec@5 72.656 (75.753)
Epoch: [48][2380/14090]	Time 0.737 (0.766)	Data 0.001 (0.003)	Loss 1.9279 (2.1708)	Prec@1 51.562 (45.188)	Prec@5 81.250 (75.760)
Epoch: [48][2390/14090]	Time 0.735 (0.766)	Data 0.001 (0.003)	Loss 2.2383 (2.1706)	Prec@1 38.281 (45.186)	Prec@5 72.656 (75.763)
Epoch: [48][2400/14090]	Time 0.730 (0.766)	Data 0.001 (0.003)	Loss 2.2026 (2.1708)	Prec@1 44.531 (45.186)	Prec@5 75.000 (75.762)
Epoch: [48][2410/14090]	Time 0.738 (0.766)	Data 0.001 (0.003)	Loss 2.0920 (2.1707)	Prec@1 50.781 (45.187)	Prec@5 78.906 (75.767)
Epoch: [48][2420/14090]	Time 0.760 (0.766)	Data 0.001 (0.003)	Loss 2.0172 (2.1708)	Prec@1 51.562 (45.190)	Prec@5 79.688 (75.764)
Epoch: [48][2430/14090]	Time 0.773 (0.766)	Data 0.001 (0.003)	Loss 1.9302 (2.1709)	Prec@1 53.906 (45.195)	Prec@5 79.688 (75.762)
Epoch: [48][2440/14090]	Time 0.841 (0.766)	Data 0.001 (0.003)	Loss 2.0611 (2.1705)	Prec@1 47.656 (45.207)	Prec@5 76.562 (75.766)
Epoch: [48][2450/14090]	Time 0.745 (0.766)	Data 0.001 (0.003)	Loss 1.8935 (2.1708)	Prec@1 46.875 (45.202)	Prec@5 78.906 (75.761)
Epoch: [48][2460/14090]	Time 0.748 (0.766)	Data 0.001 (0.003)	Loss 2.0779 (2.1705)	Prec@1 57.031 (45.217)	Prec@5 75.000 (75.766)
Epoch: [48][2470/14090]	Time 0.747 (0.766)	Data 0.001 (0.003)	Loss 2.2638 (2.1707)	Prec@1 47.656 (45.215)	Prec@5 73.438 (75.764)
Epoch: [48][2480/14090]	Time 0.755 (0.766)	Data 0.001 (0.003)	Loss 2.2294 (2.1707)	Prec@1 42.188 (45.213)	Prec@5 73.438 (75.765)
Epoch: [48][2490/14090]	Time 0.730 (0.766)	Data 0.001 (0.003)	Loss 1.8567 (2.1707)	Prec@1 50.000 (45.212)	Prec@5 82.812 (75.763)
Epoch: [48][2500/14090]	Time 0.780 (0.766)	Data 0.001 (0.003)	Loss 1.8183 (2.1705)	Prec@1 47.656 (45.211)	Prec@5 82.812 (75.763)
Epoch: [48][2510/14090]	Time 0.881 (0.766)	Data 0.002 (0.003)	Loss 1.8364 (2.1705)	Prec@1 57.812 (45.206)	Prec@5 78.906 (75.765)
Epoch: [48][2520/14090]	Time 0.762 (0.766)	Data 0.001 (0.003)	Loss 2.4365 (2.1705)	Prec@1 38.281 (45.201)	Prec@5 75.781 (75.769)
Epoch: [48][2530/14090]	Time 0.750 (0.766)	Data 0.001 (0.003)	Loss 2.3096 (2.1705)	Prec@1 42.188 (45.197)	Prec@5 75.000 (75.768)
Epoch: [48][2540/14090]	Time 0.735 (0.766)	Data 0.001 (0.003)	Loss 2.1865 (2.1705)	Prec@1 45.312 (45.197)	Prec@5 73.438 (75.769)
Epoch: [48][2550/14090]	Time 0.736 (0.766)	Data 0.001 (0.003)	Loss 2.0516 (2.1702)	Prec@1 46.094 (45.203)	Prec@5 78.906 (75.775)
Epoch: [48][2560/14090]	Time 0.745 (0.766)	Data 0.001 (0.003)	Loss 2.0631 (2.1704)	Prec@1 47.656 (45.198)	Prec@5 80.469 (75.776)
Epoch: [48][2570/14090]	Time 0.731 (0.766)	Data 0.001 (0.003)	Loss 2.2419 (2.1703)	Prec@1 37.500 (45.200)	Prec@5 74.219 (75.772)
Epoch: [48][2580/14090]	Time 0.854 (0.766)	Data 0.001 (0.003)	Loss 2.2913 (2.1707)	Prec@1 43.750 (45.192)	Prec@5 71.094 (75.758)
Epoch: [48][2590/14090]	Time 0.747 (0.766)	Data 0.001 (0.003)	Loss 2.0007 (2.1708)	Prec@1 47.656 (45.196)	Prec@5 77.344 (75.759)
Epoch: [48][2600/14090]	Time 0.730 (0.766)	Data 0.001 (0.003)	Loss 2.2739 (2.1707)	Prec@1 44.531 (45.196)	Prec@5 70.312 (75.761)
Epoch: [48][2610/14090]	Time 0.756 (0.766)	Data 0.001 (0.003)	Loss 1.8858 (2.1704)	Prec@1 51.562 (45.201)	Prec@5 82.031 (75.768)
Epoch: [48][2620/14090]	Time 0.742 (0.766)	Data 0.001 (0.003)	Loss 2.2057 (2.1702)	Prec@1 42.969 (45.210)	Prec@5 73.438 (75.776)
Epoch: [48][2630/14090]	Time 0.761 (0.766)	Data 0.001 (0.003)	Loss 2.0739 (2.1701)	Prec@1 48.438 (45.211)	Prec@5 78.125 (75.779)
Epoch: [48][2640/14090]	Time 0.735 (0.766)	Data 0.001 (0.003)	Loss 2.1199 (2.1700)	Prec@1 43.750 (45.210)	Prec@5 78.125 (75.783)
Epoch: [48][2650/14090]	Time 1.036 (0.766)	Data 0.001 (0.003)	Loss 2.0743 (2.1702)	Prec@1 44.531 (45.205)	Prec@5 77.344 (75.780)
Epoch: [48][2660/14090]	Time 0.733 (0.766)	Data 0.001 (0.003)	Loss 2.5417 (2.1708)	Prec@1 33.594 (45.191)	Prec@5 71.875 (75.770)
Epoch: [48][2670/14090]	Time 0.760 (0.766)	Data 0.001 (0.003)	Loss 2.3195 (2.1709)	Prec@1 44.531 (45.183)	Prec@5 74.219 (75.767)
Epoch: [48][2680/14090]	Time 0.778 (0.766)	Data 0.001 (0.003)	Loss 1.9606 (2.1710)	Prec@1 50.000 (45.177)	Prec@5 78.125 (75.766)
Epoch: [48][2690/14090]	Time 0.771 (0.766)	Data 0.001 (0.003)	Loss 2.2638 (2.1714)	Prec@1 35.938 (45.170)	Prec@5 75.000 (75.759)
Epoch: [48][2700/14090]	Time 0.734 (0.766)	Data 0.001 (0.003)	Loss 2.4991 (2.1716)	Prec@1 31.250 (45.168)	Prec@5 67.969 (75.758)
Epoch: [48][2710/14090]	Time 0.744 (0.766)	Data 0.001 (0.003)	Loss 2.3457 (2.1716)	Prec@1 42.969 (45.167)	Prec@5 71.875 (75.761)
Epoch: [48][2720/14090]	Time 0.894 (0.766)	Data 0.001 (0.003)	Loss 1.8748 (2.1714)	Prec@1 52.344 (45.170)	Prec@5 80.469 (75.766)
Epoch: [48][2730/14090]	Time 0.775 (0.766)	Data 0.001 (0.003)	Loss 2.3119 (2.1713)	Prec@1 42.188 (45.173)	Prec@5 70.312 (75.768)
Epoch: [48][2740/14090]	Time 0.742 (0.766)	Data 0.001 (0.003)	Loss 2.3839 (2.1712)	Prec@1 42.969 (45.172)	Prec@5 71.094 (75.769)
Epoch: [48][2750/14090]	Time 0.746 (0.766)	Data 0.001 (0.003)	Loss 2.2837 (2.1713)	Prec@1 40.625 (45.164)	Prec@5 75.781 (75.767)
Epoch: [48][2760/14090]	Time 0.718 (0.766)	Data 0.001 (0.003)	Loss 2.3451 (2.1713)	Prec@1 35.938 (45.162)	Prec@5 71.094 (75.768)
Epoch: [48][2770/14090]	Time 0.724 (0.766)	Data 0.001 (0.003)	Loss 2.2349 (2.1713)	Prec@1 46.094 (45.163)	Prec@5 71.094 (75.765)
Epoch: [48][2780/14090]	Time 0.753 (0.766)	Data 0.001 (0.003)	Loss 2.1230 (2.1714)	Prec@1 49.219 (45.162)	Prec@5 77.344 (75.766)
Epoch: [48][2790/14090]	Time 0.918 (0.766)	Data 0.002 (0.003)	Loss 2.0330 (2.1715)	Prec@1 50.000 (45.169)	Prec@5 75.000 (75.763)
Epoch: [48][2800/14090]	Time 0.770 (0.766)	Data 0.001 (0.003)	Loss 2.3293 (2.1717)	Prec@1 39.844 (45.163)	Prec@5 75.000 (75.756)
Epoch: [48][2810/14090]	Time 0.754 (0.766)	Data 0.001 (0.003)	Loss 2.3961 (2.1717)	Prec@1 40.625 (45.159)	Prec@5 70.312 (75.755)
Epoch: [48][2820/14090]	Time 0.774 (0.766)	Data 0.001 (0.003)	Loss 2.1868 (2.1718)	Prec@1 42.969 (45.157)	Prec@5 69.531 (75.752)
Epoch: [48][2830/14090]	Time 0.757 (0.766)	Data 0.001 (0.003)	Loss 1.9920 (2.1720)	Prec@1 52.344 (45.151)	Prec@5 78.906 (75.748)
Epoch: [48][2840/14090]	Time 0.734 (0.766)	Data 0.001 (0.003)	Loss 2.1919 (2.1720)	Prec@1 48.438 (45.153)	Prec@5 75.000 (75.745)
Epoch: [48][2850/14090]	Time 0.740 (0.766)	Data 0.001 (0.003)	Loss 2.1403 (2.1720)	Prec@1 42.188 (45.159)	Prec@5 77.344 (75.746)
Epoch: [48][2860/14090]	Time 0.842 (0.766)	Data 0.001 (0.003)	Loss 2.0278 (2.1718)	Prec@1 46.875 (45.154)	Prec@5 78.906 (75.751)
Epoch: [48][2870/14090]	Time 0.753 (0.766)	Data 0.002 (0.003)	Loss 2.4189 (2.1720)	Prec@1 36.719 (45.147)	Prec@5 73.438 (75.749)
Epoch: [48][2880/14090]	Time 0.753 (0.765)	Data 0.001 (0.003)	Loss 2.1699 (2.1721)	Prec@1 47.656 (45.151)	Prec@5 75.000 (75.746)
Epoch: [48][2890/14090]	Time 0.749 (0.766)	Data 0.001 (0.003)	Loss 2.0927 (2.1721)	Prec@1 43.750 (45.145)	Prec@5 78.125 (75.750)
Epoch: [48][2900/14090]	Time 0.749 (0.765)	Data 0.001 (0.003)	Loss 2.1334 (2.1719)	Prec@1 45.312 (45.148)	Prec@5 71.094 (75.751)
Epoch: [48][2910/14090]	Time 0.756 (0.766)	Data 0.001 (0.003)	Loss 2.2625 (2.1718)	Prec@1 46.094 (45.150)	Prec@5 71.094 (75.754)
Epoch: [48][2920/14090]	Time 0.761 (0.765)	Data 0.001 (0.003)	Loss 1.8942 (2.1716)	Prec@1 50.000 (45.153)	Prec@5 84.375 (75.757)
Epoch: [48][2930/14090]	Time 0.848 (0.765)	Data 0.001 (0.003)	Loss 2.1301 (2.1717)	Prec@1 43.750 (45.150)	Prec@5 75.000 (75.751)
Epoch: [48][2940/14090]	Time 0.747 (0.765)	Data 0.001 (0.003)	Loss 2.7486 (2.1719)	Prec@1 39.062 (45.146)	Prec@5 65.625 (75.745)
Epoch: [48][2950/14090]	Time 0.738 (0.765)	Data 0.001 (0.003)	Loss 2.2485 (2.1720)	Prec@1 37.500 (45.145)	Prec@5 75.781 (75.746)
Epoch: [48][2960/14090]	Time 0.727 (0.765)	Data 0.001 (0.003)	Loss 2.2646 (2.1722)	Prec@1 40.625 (45.137)	Prec@5 75.781 (75.741)
Epoch: [48][2970/14090]	Time 0.748 (0.765)	Data 0.001 (0.003)	Loss 2.3015 (2.1724)	Prec@1 40.625 (45.129)	Prec@5 75.000 (75.735)
Epoch: [48][2980/14090]	Time 0.729 (0.765)	Data 0.001 (0.003)	Loss 1.9214 (2.1721)	Prec@1 51.562 (45.134)	Prec@5 82.031 (75.742)
Epoch: [48][2990/14090]	Time 0.756 (0.765)	Data 0.001 (0.003)	Loss 2.1742 (2.1723)	Prec@1 46.094 (45.133)	Prec@5 73.438 (75.737)
Epoch: [48][3000/14090]	Time 0.839 (0.765)	Data 0.001 (0.003)	Loss 2.1515 (2.1721)	Prec@1 48.438 (45.139)	Prec@5 74.219 (75.743)
Epoch: [48][3010/14090]	Time 0.752 (0.765)	Data 0.001 (0.003)	Loss 2.2820 (2.1724)	Prec@1 42.969 (45.137)	Prec@5 74.219 (75.730)
Epoch: [48][3020/14090]	Time 0.755 (0.765)	Data 0.001 (0.003)	Loss 2.0015 (2.1724)	Prec@1 47.656 (45.138)	Prec@5 80.469 (75.730)
Epoch: [48][3030/14090]	Time 0.739 (0.765)	Data 0.001 (0.003)	Loss 2.1598 (2.1723)	Prec@1 43.750 (45.137)	Prec@5 74.219 (75.733)
Epoch: [48][3040/14090]	Time 0.750 (0.765)	Data 0.001 (0.003)	Loss 2.3858 (2.1723)	Prec@1 39.062 (45.131)	Prec@5 71.875 (75.731)
Epoch: [48][3050/14090]	Time 0.734 (0.765)	Data 0.001 (0.003)	Loss 2.4932 (2.1722)	Prec@1 40.625 (45.136)	Prec@5 71.094 (75.734)
Epoch: [48][3060/14090]	Time 0.730 (0.765)	Data 0.001 (0.003)	Loss 2.0766 (2.1718)	Prec@1 45.312 (45.146)	Prec@5 78.906 (75.739)
Epoch: [48][3070/14090]	Time 0.887 (0.765)	Data 0.001 (0.003)	Loss 2.3022 (2.1719)	Prec@1 38.281 (45.143)	Prec@5 74.219 (75.736)
Epoch: [48][3080/14090]	Time 0.727 (0.765)	Data 0.001 (0.003)	Loss 1.9526 (2.1721)	Prec@1 51.562 (45.140)	Prec@5 82.031 (75.739)
Epoch: [48][3090/14090]	Time 0.734 (0.765)	Data 0.001 (0.003)	Loss 2.3498 (2.1721)	Prec@1 42.188 (45.142)	Prec@5 76.562 (75.740)
Epoch: [48][3100/14090]	Time 0.761 (0.765)	Data 0.001 (0.003)	Loss 2.1234 (2.1723)	Prec@1 44.531 (45.131)	Prec@5 75.000 (75.733)
Epoch: [48][3110/14090]	Time 0.732 (0.765)	Data 0.001 (0.003)	Loss 2.0365 (2.1723)	Prec@1 53.906 (45.135)	Prec@5 74.219 (75.732)
Epoch: [48][3120/14090]	Time 0.756 (0.765)	Data 0.001 (0.003)	Loss 2.0665 (2.1722)	Prec@1 48.438 (45.138)	Prec@5 74.219 (75.732)
Epoch: [48][3130/14090]	Time 0.763 (0.765)	Data 0.001 (0.003)	Loss 1.8924 (2.1718)	Prec@1 44.531 (45.139)	Prec@5 81.250 (75.740)
Epoch: [48][3140/14090]	Time 0.853 (0.765)	Data 0.001 (0.003)	Loss 2.5008 (2.1719)	Prec@1 42.188 (45.136)	Prec@5 68.750 (75.738)
Epoch: [48][3150/14090]	Time 0.741 (0.765)	Data 0.001 (0.003)	Loss 2.0417 (2.1718)	Prec@1 44.531 (45.135)	Prec@5 75.781 (75.738)
Epoch: [48][3160/14090]	Time 0.758 (0.765)	Data 0.001 (0.003)	Loss 2.3987 (2.1719)	Prec@1 43.750 (45.129)	Prec@5 75.000 (75.739)
Epoch: [48][3170/14090]	Time 0.752 (0.765)	Data 0.001 (0.003)	Loss 1.9694 (2.1720)	Prec@1 47.656 (45.127)	Prec@5 77.344 (75.735)
Epoch: [48][3180/14090]	Time 0.757 (0.765)	Data 0.001 (0.002)	Loss 2.3793 (2.1723)	Prec@1 42.188 (45.124)	Prec@5 69.531 (75.732)
Epoch: [48][3190/14090]	Time 0.743 (0.765)	Data 0.001 (0.002)	Loss 2.0257 (2.1721)	Prec@1 46.875 (45.129)	Prec@5 77.344 (75.735)
Epoch: [48][3200/14090]	Time 0.722 (0.765)	Data 0.001 (0.002)	Loss 2.2909 (2.1722)	Prec@1 43.750 (45.134)	Prec@5 77.344 (75.737)
Epoch: [48][3210/14090]	Time 0.836 (0.765)	Data 0.001 (0.002)	Loss 2.0315 (2.1723)	Prec@1 50.781 (45.130)	Prec@5 78.125 (75.731)
Epoch: [48][3220/14090]	Time 0.739 (0.765)	Data 0.001 (0.002)	Loss 2.3915 (2.1723)	Prec@1 39.844 (45.129)	Prec@5 75.000 (75.733)
Epoch: [48][3230/14090]	Time 0.747 (0.765)	Data 0.001 (0.002)	Loss 2.3033 (2.1724)	Prec@1 42.969 (45.121)	Prec@5 75.781 (75.737)
Epoch: [48][3240/14090]	Time 0.758 (0.765)	Data 0.001 (0.002)	Loss 2.3292 (2.1725)	Prec@1 39.844 (45.119)	Prec@5 74.219 (75.735)
Epoch: [48][3250/14090]	Time 0.743 (0.765)	Data 0.001 (0.002)	Loss 2.2410 (2.1725)	Prec@1 40.625 (45.114)	Prec@5 74.219 (75.733)
Epoch: [48][3260/14090]	Time 0.720 (0.765)	Data 0.001 (0.002)	Loss 2.2369 (2.1726)	Prec@1 39.062 (45.111)	Prec@5 76.562 (75.733)
Epoch: [48][3270/14090]	Time 0.750 (0.765)	Data 0.001 (0.002)	Loss 2.2804 (2.1727)	Prec@1 42.969 (45.113)	Prec@5 74.219 (75.733)
Epoch: [48][3280/14090]	Time 0.873 (0.765)	Data 0.001 (0.002)	Loss 2.1756 (2.1730)	Prec@1 47.656 (45.105)	Prec@5 79.688 (75.723)
Epoch: [48][3290/14090]	Time 0.756 (0.765)	Data 0.001 (0.002)	Loss 1.9174 (2.1727)	Prec@1 43.750 (45.105)	Prec@5 81.250 (75.730)
Epoch: [48][3300/14090]	Time 0.763 (0.765)	Data 0.001 (0.002)	Loss 2.2686 (2.1728)	Prec@1 40.625 (45.106)	Prec@5 74.219 (75.730)
Epoch: [48][3310/14090]	Time 0.750 (0.765)	Data 0.001 (0.002)	Loss 2.1784 (2.1725)	Prec@1 46.094 (45.114)	Prec@5 72.656 (75.732)
Epoch: [48][3320/14090]	Time 0.757 (0.765)	Data 0.001 (0.002)	Loss 2.1822 (2.1727)	Prec@1 47.656 (45.111)	Prec@5 74.219 (75.729)
Epoch: [48][3330/14090]	Time 0.744 (0.765)	Data 0.001 (0.002)	Loss 2.2220 (2.1727)	Prec@1 42.969 (45.111)	Prec@5 73.438 (75.729)
Epoch: [48][3340/14090]	Time 0.754 (0.765)	Data 0.001 (0.002)	Loss 2.2266 (2.1728)	Prec@1 44.531 (45.114)	Prec@5 74.219 (75.723)
Epoch: [48][3350/14090]	Time 0.813 (0.765)	Data 0.001 (0.002)	Loss 1.9861 (2.1728)	Prec@1 55.469 (45.120)	Prec@5 75.781 (75.721)
Epoch: [48][3360/14090]	Time 0.745 (0.765)	Data 0.001 (0.002)	Loss 2.1758 (2.1727)	Prec@1 49.219 (45.122)	Prec@5 75.781 (75.722)
Epoch: [48][3370/14090]	Time 0.757 (0.765)	Data 0.001 (0.002)	Loss 1.9567 (2.1726)	Prec@1 48.438 (45.125)	Prec@5 81.250 (75.726)
Epoch: [48][3380/14090]	Time 0.736 (0.765)	Data 0.001 (0.002)	Loss 2.1476 (2.1724)	Prec@1 47.656 (45.127)	Prec@5 73.438 (75.731)
Epoch: [48][3390/14090]	Time 0.724 (0.765)	Data 0.001 (0.002)	Loss 2.3723 (2.1725)	Prec@1 37.500 (45.126)	Prec@5 70.312 (75.725)
Epoch: [48][3400/14090]	Time 0.763 (0.765)	Data 0.001 (0.002)	Loss 2.1933 (2.1725)	Prec@1 46.094 (45.128)	Prec@5 71.875 (75.724)
Epoch: [48][3410/14090]	Time 0.752 (0.765)	Data 0.001 (0.002)	Loss 2.0175 (2.1724)	Prec@1 50.781 (45.134)	Prec@5 78.125 (75.728)
Epoch: [48][3420/14090]	Time 0.876 (0.765)	Data 0.001 (0.002)	Loss 2.2856 (2.1724)	Prec@1 42.969 (45.135)	Prec@5 71.875 (75.727)
Epoch: [48][3430/14090]	Time 0.724 (0.765)	Data 0.001 (0.002)	Loss 2.1463 (2.1725)	Prec@1 50.000 (45.131)	Prec@5 74.219 (75.722)
Epoch: [48][3440/14090]	Time 0.745 (0.765)	Data 0.001 (0.002)	Loss 2.3313 (2.1726)	Prec@1 43.750 (45.129)	Prec@5 69.531 (75.723)
Epoch: [48][3450/14090]	Time 0.748 (0.765)	Data 0.001 (0.002)	Loss 2.1202 (2.1726)	Prec@1 46.094 (45.136)	Prec@5 78.125 (75.722)
Epoch: [48][3460/14090]	Time 0.727 (0.765)	Data 0.001 (0.002)	Loss 2.7753 (2.1730)	Prec@1 35.938 (45.131)	Prec@5 64.062 (75.713)
Epoch: [48][3470/14090]	Time 0.722 (0.765)	Data 0.001 (0.002)	Loss 1.8541 (2.1730)	Prec@1 56.250 (45.134)	Prec@5 81.250 (75.715)
Epoch: [48][3480/14090]	Time 0.740 (0.765)	Data 0.001 (0.002)	Loss 2.0378 (2.1730)	Prec@1 44.531 (45.136)	Prec@5 72.656 (75.712)
Epoch: [48][3490/14090]	Time 0.849 (0.765)	Data 0.001 (0.002)	Loss 2.2368 (2.1730)	Prec@1 42.188 (45.138)	Prec@5 71.875 (75.709)
Epoch: [48][3500/14090]	Time 0.734 (0.765)	Data 0.001 (0.002)	Loss 2.0920 (2.1730)	Prec@1 50.000 (45.133)	Prec@5 76.562 (75.707)
Epoch: [48][3510/14090]	Time 0.736 (0.765)	Data 0.001 (0.002)	Loss 2.2555 (2.1731)	Prec@1 43.750 (45.131)	Prec@5 74.219 (75.702)
Epoch: [48][3520/14090]	Time 0.729 (0.765)	Data 0.001 (0.002)	Loss 2.0575 (2.1732)	Prec@1 52.344 (45.127)	Prec@5 77.344 (75.698)
Epoch: [48][3530/14090]	Time 0.754 (0.765)	Data 0.001 (0.002)	Loss 2.3046 (2.1735)	Prec@1 41.406 (45.118)	Prec@5 69.531 (75.689)
Epoch: [48][3540/14090]	Time 0.756 (0.765)	Data 0.001 (0.002)	Loss 2.2303 (2.1735)	Prec@1 38.281 (45.118)	Prec@5 77.344 (75.690)
Epoch: [48][3550/14090]	Time 0.731 (0.765)	Data 0.001 (0.002)	Loss 1.9587 (2.1735)	Prec@1 52.344 (45.124)	Prec@5 78.125 (75.692)
Epoch: [48][3560/14090]	Time 0.837 (0.765)	Data 0.001 (0.002)	Loss 2.1830 (2.1736)	Prec@1 46.875 (45.124)	Prec@5 75.781 (75.685)
Epoch: [48][3570/14090]	Time 0.742 (0.765)	Data 0.001 (0.002)	Loss 2.5290 (2.1737)	Prec@1 33.594 (45.127)	Prec@5 68.750 (75.684)
Epoch: [48][3580/14090]	Time 0.755 (0.765)	Data 0.001 (0.002)	Loss 2.3344 (2.1737)	Prec@1 46.094 (45.125)	Prec@5 73.438 (75.681)
Epoch: [48][3590/14090]	Time 0.768 (0.765)	Data 0.001 (0.002)	Loss 2.3561 (2.1740)	Prec@1 44.531 (45.121)	Prec@5 71.094 (75.676)
Epoch: [48][3600/14090]	Time 0.731 (0.765)	Data 0.001 (0.002)	Loss 2.4971 (2.1739)	Prec@1 38.281 (45.125)	Prec@5 71.094 (75.679)
Epoch: [48][3610/14090]	Time 0.752 (0.765)	Data 0.001 (0.002)	Loss 2.2877 (2.1739)	Prec@1 39.062 (45.129)	Prec@5 69.531 (75.678)
Epoch: [48][3620/14090]	Time 0.727 (0.765)	Data 0.001 (0.002)	Loss 2.2782 (2.1739)	Prec@1 42.969 (45.126)	Prec@5 79.688 (75.680)
Epoch: [48][3630/14090]	Time 0.886 (0.765)	Data 0.001 (0.002)	Loss 2.1823 (2.1739)	Prec@1 46.094 (45.122)	Prec@5 78.906 (75.683)
Epoch: [48][3640/14090]	Time 0.766 (0.765)	Data 0.001 (0.002)	Loss 2.1351 (2.1739)	Prec@1 42.188 (45.123)	Prec@5 79.688 (75.685)
Epoch: [48][3650/14090]	Time 0.734 (0.765)	Data 0.001 (0.002)	Loss 2.1354 (2.1740)	Prec@1 41.406 (45.118)	Prec@5 75.000 (75.683)
Epoch: [48][3660/14090]	Time 0.746 (0.765)	Data 0.001 (0.002)	Loss 2.3754 (2.1739)	Prec@1 43.750 (45.121)	Prec@5 71.875 (75.681)
Epoch: [48][3670/14090]	Time 0.758 (0.765)	Data 0.001 (0.002)	Loss 2.2010 (2.1741)	Prec@1 44.531 (45.119)	Prec@5 73.438 (75.676)
Epoch: [48][3680/14090]	Time 0.752 (0.765)	Data 0.001 (0.002)	Loss 2.0887 (2.1743)	Prec@1 48.438 (45.115)	Prec@5 76.562 (75.669)
Epoch: [48][3690/14090]	Time 0.758 (0.765)	Data 0.001 (0.002)	Loss 2.0050 (2.1742)	Prec@1 51.562 (45.116)	Prec@5 78.906 (75.669)
Epoch: [48][3700/14090]	Time 0.888 (0.765)	Data 0.003 (0.002)	Loss 2.0851 (2.1745)	Prec@1 39.062 (45.114)	Prec@5 77.344 (75.661)
Epoch: [48][3710/14090]	Time 0.739 (0.765)	Data 0.001 (0.002)	Loss 2.0515 (2.1744)	Prec@1 50.000 (45.117)	Prec@5 78.125 (75.661)
Epoch: [48][3720/14090]	Time 0.739 (0.765)	Data 0.001 (0.002)	Loss 2.1615 (2.1742)	Prec@1 44.531 (45.117)	Prec@5 77.344 (75.666)
Epoch: [48][3730/14090]	Time 0.733 (0.765)	Data 0.001 (0.002)	Loss 2.3253 (2.1742)	Prec@1 46.875 (45.117)	Prec@5 75.000 (75.666)
Epoch: [48][3740/14090]	Time 0.747 (0.765)	Data 0.001 (0.002)	Loss 2.0534 (2.1742)	Prec@1 40.625 (45.110)	Prec@5 78.125 (75.672)
Epoch: [48][3750/14090]	Time 0.744 (0.765)	Data 0.001 (0.002)	Loss 2.2551 (2.1742)	Prec@1 41.406 (45.109)	Prec@5 73.438 (75.668)
Epoch: [48][3760/14090]	Time 0.754 (0.765)	Data 0.001 (0.002)	Loss 2.0903 (2.1741)	Prec@1 46.875 (45.109)	Prec@5 76.562 (75.671)
Epoch: [48][3770/14090]	Time 0.866 (0.765)	Data 0.001 (0.002)	Loss 2.2501 (2.1744)	Prec@1 38.281 (45.104)	Prec@5 71.094 (75.666)
Epoch: [48][3780/14090]	Time 0.730 (0.765)	Data 0.001 (0.002)	Loss 2.0998 (2.1745)	Prec@1 46.094 (45.101)	Prec@5 76.562 (75.663)
Epoch: [48][3790/14090]	Time 0.724 (0.765)	Data 0.001 (0.002)	Loss 2.0046 (2.1744)	Prec@1 46.875 (45.107)	Prec@5 78.906 (75.667)
Epoch: [48][3800/14090]	Time 0.775 (0.765)	Data 0.001 (0.002)	Loss 2.0312 (2.1743)	Prec@1 44.531 (45.109)	Prec@5 78.125 (75.667)
Epoch: [48][3810/14090]	Time 0.754 (0.765)	Data 0.001 (0.002)	Loss 1.9302 (2.1743)	Prec@1 49.219 (45.108)	Prec@5 78.906 (75.669)
Epoch: [48][3820/14090]	Time 0.740 (0.765)	Data 0.001 (0.002)	Loss 2.0186 (2.1742)	Prec@1 47.656 (45.106)	Prec@5 81.250 (75.676)
Epoch: [48][3830/14090]	Time 0.745 (0.765)	Data 0.001 (0.002)	Loss 2.0509 (2.1744)	Prec@1 47.656 (45.105)	Prec@5 79.688 (75.671)
Epoch: [48][3840/14090]	Time 0.858 (0.765)	Data 0.001 (0.002)	Loss 1.9952 (2.1743)	Prec@1 48.438 (45.105)	Prec@5 79.688 (75.672)
Epoch: [48][3850/14090]	Time 0.721 (0.765)	Data 0.001 (0.002)	Loss 2.1734 (2.1744)	Prec@1 43.750 (45.104)	Prec@5 74.219 (75.671)
Epoch: [48][3860/14090]	Time 0.752 (0.765)	Data 0.001 (0.002)	Loss 2.5677 (2.1743)	Prec@1 35.938 (45.105)	Prec@5 67.969 (75.668)
Epoch: [48][3870/14090]	Time 0.735 (0.765)	Data 0.001 (0.002)	Loss 2.4956 (2.1744)	Prec@1 42.969 (45.109)	Prec@5 71.094 (75.671)
Epoch: [48][3880/14090]	Time 0.734 (0.765)	Data 0.001 (0.002)	Loss 2.0861 (2.1744)	Prec@1 50.781 (45.109)	Prec@5 74.219 (75.671)
Epoch: [48][3890/14090]	Time 0.766 (0.765)	Data 0.001 (0.002)	Loss 2.2851 (2.1747)	Prec@1 39.844 (45.099)	Prec@5 74.219 (75.666)
Epoch: [48][3900/14090]	Time 0.768 (0.765)	Data 0.001 (0.002)	Loss 2.1756 (2.1746)	Prec@1 46.875 (45.104)	Prec@5 74.219 (75.665)
Epoch: [48][3910/14090]	Time 0.856 (0.765)	Data 0.001 (0.002)	Loss 2.0022 (2.1744)	Prec@1 42.188 (45.103)	Prec@5 77.344 (75.667)
Epoch: [48][3920/14090]	Time 0.755 (0.765)	Data 0.001 (0.002)	Loss 2.2670 (2.1745)	Prec@1 41.406 (45.099)	Prec@5 74.219 (75.663)
Epoch: [48][3930/14090]	Time 0.724 (0.764)	Data 0.001 (0.002)	Loss 2.0377 (2.1746)	Prec@1 51.562 (45.099)	Prec@5 77.344 (75.663)
Epoch: [48][3940/14090]	Time 0.755 (0.765)	Data 0.001 (0.002)	Loss 2.0446 (2.1747)	Prec@1 48.438 (45.100)	Prec@5 77.344 (75.660)
Epoch: [48][3950/14090]	Time 0.732 (0.764)	Data 0.001 (0.002)	Loss 2.2853 (2.1748)	Prec@1 44.531 (45.096)	Prec@5 76.562 (75.659)
Epoch: [48][3960/14090]	Time 0.729 (0.764)	Data 0.001 (0.002)	Loss 1.8651 (2.1747)	Prec@1 57.812 (45.101)	Prec@5 81.250 (75.662)
Epoch: [48][3970/14090]	Time 0.727 (0.764)	Data 0.001 (0.002)	Loss 1.7798 (2.1747)	Prec@1 53.125 (45.103)	Prec@5 82.812 (75.661)
Epoch: [48][3980/14090]	Time 0.873 (0.764)	Data 0.001 (0.002)	Loss 2.2314 (2.1746)	Prec@1 43.750 (45.103)	Prec@5 75.000 (75.664)
Epoch: [48][3990/14090]	Time 0.741 (0.764)	Data 0.001 (0.002)	Loss 2.3218 (2.1746)	Prec@1 38.281 (45.102)	Prec@5 75.781 (75.666)
Epoch: [48][4000/14090]	Time 0.730 (0.764)	Data 0.001 (0.002)	Loss 1.8958 (2.1744)	Prec@1 50.000 (45.104)	Prec@5 80.469 (75.670)
Epoch: [48][4010/14090]	Time 0.735 (0.764)	Data 0.001 (0.002)	Loss 2.0342 (2.1741)	Prec@1 46.875 (45.112)	Prec@5 81.250 (75.675)
Epoch: [48][4020/14090]	Time 0.724 (0.764)	Data 0.001 (0.002)	Loss 2.1206 (2.1743)	Prec@1 45.312 (45.109)	Prec@5 75.000 (75.671)
Epoch: [48][4030/14090]	Time 0.720 (0.764)	Data 0.001 (0.002)	Loss 2.3151 (2.1742)	Prec@1 42.969 (45.110)	Prec@5 76.562 (75.671)
Epoch: [48][4040/14090]	Time 0.770 (0.764)	Data 0.001 (0.002)	Loss 2.1478 (2.1744)	Prec@1 42.188 (45.106)	Prec@5 77.344 (75.670)
Epoch: [48][4050/14090]	Time 0.849 (0.764)	Data 0.001 (0.002)	Loss 2.1027 (2.1743)	Prec@1 52.344 (45.111)	Prec@5 75.000 (75.669)
Epoch: [48][4060/14090]	Time 0.731 (0.764)	Data 0.001 (0.002)	Loss 2.2819 (2.1743)	Prec@1 42.188 (45.109)	Prec@5 78.906 (75.671)
Epoch: [48][4070/14090]	Time 0.746 (0.764)	Data 0.001 (0.002)	Loss 1.8683 (2.1743)	Prec@1 50.000 (45.109)	Prec@5 81.250 (75.670)
Epoch: [48][4080/14090]	Time 0.733 (0.764)	Data 0.001 (0.002)	Loss 2.0201 (2.1744)	Prec@1 50.000 (45.107)	Prec@5 75.000 (75.667)
Epoch: [48][4090/14090]	Time 0.752 (0.764)	Data 0.001 (0.002)	Loss 2.0666 (2.1744)	Prec@1 41.406 (45.107)	Prec@5 77.344 (75.667)
Epoch: [48][4100/14090]	Time 0.731 (0.764)	Data 0.001 (0.002)	Loss 2.1573 (2.1744)	Prec@1 44.531 (45.110)	Prec@5 76.562 (75.665)
Epoch: [48][4110/14090]	Time 0.727 (0.764)	Data 0.001 (0.002)	Loss 2.1637 (2.1744)	Prec@1 43.750 (45.109)	Prec@5 74.219 (75.665)
Epoch: [48][4120/14090]	Time 0.896 (0.764)	Data 0.001 (0.002)	Loss 2.1543 (2.1745)	Prec@1 50.781 (45.110)	Prec@5 76.562 (75.663)
Epoch: [48][4130/14090]	Time 0.753 (0.764)	Data 0.001 (0.002)	Loss 2.1532 (2.1746)	Prec@1 43.750 (45.106)	Prec@5 78.125 (75.664)
Epoch: [48][4140/14090]	Time 0.760 (0.764)	Data 0.001 (0.002)	Loss 2.3988 (2.1747)	Prec@1 40.625 (45.104)	Prec@5 72.656 (75.661)
Epoch: [48][4150/14090]	Time 0.739 (0.764)	Data 0.002 (0.002)	Loss 1.9814 (2.1747)	Prec@1 50.781 (45.108)	Prec@5 76.562 (75.662)
Epoch: [48][4160/14090]	Time 0.745 (0.764)	Data 0.001 (0.002)	Loss 2.2858 (2.1747)	Prec@1 50.000 (45.111)	Prec@5 77.344 (75.665)
Epoch: [48][4170/14090]	Time 0.753 (0.764)	Data 0.002 (0.002)	Loss 2.1173 (2.1747)	Prec@1 48.438 (45.106)	Prec@5 71.094 (75.663)
Epoch: [48][4180/14090]	Time 0.759 (0.764)	Data 0.001 (0.002)	Loss 2.1490 (2.1751)	Prec@1 42.188 (45.095)	Prec@5 74.219 (75.653)
Epoch: [48][4190/14090]	Time 0.870 (0.764)	Data 0.001 (0.002)	Loss 1.9828 (2.1749)	Prec@1 42.969 (45.099)	Prec@5 78.125 (75.657)
Epoch: [48][4200/14090]	Time 0.772 (0.764)	Data 0.001 (0.002)	Loss 1.8974 (2.1749)	Prec@1 52.344 (45.096)	Prec@5 78.125 (75.657)
Epoch: [48][4210/14090]	Time 0.757 (0.764)	Data 0.001 (0.002)	Loss 2.3067 (2.1749)	Prec@1 40.625 (45.098)	Prec@5 72.656 (75.655)
Epoch: [48][4220/14090]	Time 0.755 (0.764)	Data 0.001 (0.002)	Loss 2.0782 (2.1746)	Prec@1 45.312 (45.101)	Prec@5 78.906 (75.661)
Epoch: [48][4230/14090]	Time 0.759 (0.764)	Data 0.002 (0.002)	Loss 2.2655 (2.1746)	Prec@1 46.094 (45.103)	Prec@5 71.094 (75.661)
Epoch: [48][4240/14090]	Time 0.723 (0.764)	Data 0.001 (0.002)	Loss 2.0682 (2.1746)	Prec@1 49.219 (45.104)	Prec@5 75.000 (75.663)
Epoch: [48][4250/14090]	Time 0.721 (0.764)	Data 0.001 (0.002)	Loss 1.9929 (2.1747)	Prec@1 46.875 (45.100)	Prec@5 75.781 (75.663)
Epoch: [48][4260/14090]	Time 0.885 (0.764)	Data 0.001 (0.002)	Loss 2.1963 (2.1749)	Prec@1 44.531 (45.096)	Prec@5 80.469 (75.661)
Epoch: [48][4270/14090]	Time 0.732 (0.764)	Data 0.001 (0.002)	Loss 2.0942 (2.1749)	Prec@1 48.438 (45.096)	Prec@5 78.125 (75.664)
Epoch: [48][4280/14090]	Time 0.723 (0.764)	Data 0.001 (0.002)	Loss 1.9601 (2.1749)	Prec@1 46.875 (45.092)	Prec@5 82.812 (75.662)
Epoch: [48][4290/14090]	Time 0.746 (0.764)	Data 0.001 (0.002)	Loss 1.9154 (2.1749)	Prec@1 50.781 (45.095)	Prec@5 78.125 (75.662)
Epoch: [48][4300/14090]	Time 0.729 (0.764)	Data 0.001 (0.002)	Loss 2.1724 (2.1749)	Prec@1 42.188 (45.094)	Prec@5 75.000 (75.664)
Epoch: [48][4310/14090]	Time 0.749 (0.764)	Data 0.001 (0.002)	Loss 2.2356 (2.1749)	Prec@1 45.312 (45.092)	Prec@5 71.875 (75.665)
Epoch: [48][4320/14090]	Time 0.742 (0.764)	Data 0.001 (0.002)	Loss 2.1658 (2.1749)	Prec@1 39.844 (45.089)	Prec@5 79.688 (75.664)
Epoch: [48][4330/14090]	Time 0.885 (0.764)	Data 0.001 (0.002)	Loss 2.1646 (2.1750)	Prec@1 46.875 (45.087)	Prec@5 75.000 (75.663)
Epoch: [48][4340/14090]	Time 0.743 (0.764)	Data 0.001 (0.002)	Loss 2.1383 (2.1750)	Prec@1 46.094 (45.087)	Prec@5 75.000 (75.664)
Epoch: [48][4350/14090]	Time 0.753 (0.764)	Data 0.001 (0.002)	Loss 2.2245 (2.1749)	Prec@1 42.188 (45.088)	Prec@5 74.219 (75.664)
Epoch: [48][4360/14090]	Time 0.725 (0.764)	Data 0.001 (0.002)	Loss 2.2611 (2.1749)	Prec@1 49.219 (45.085)	Prec@5 76.562 (75.667)
Epoch: [48][4370/14090]	Time 0.737 (0.764)	Data 0.001 (0.002)	Loss 1.8203 (2.1749)	Prec@1 53.125 (45.083)	Prec@5 82.031 (75.665)
Epoch: [48][4380/14090]	Time 0.735 (0.764)	Data 0.001 (0.002)	Loss 1.8846 (2.1750)	Prec@1 49.219 (45.087)	Prec@5 80.469 (75.665)
Epoch: [48][4390/14090]	Time 0.730 (0.764)	Data 0.001 (0.002)	Loss 2.1660 (2.1751)	Prec@1 44.531 (45.087)	Prec@5 71.875 (75.662)
Epoch: [48][4400/14090]	Time 0.839 (0.764)	Data 0.001 (0.002)	Loss 2.1350 (2.1753)	Prec@1 48.438 (45.083)	Prec@5 74.219 (75.656)
Epoch: [48][4410/14090]	Time 0.751 (0.764)	Data 0.001 (0.002)	Loss 1.9063 (2.1752)	Prec@1 53.125 (45.082)	Prec@5 85.156 (75.658)
Epoch: [48][4420/14090]	Time 0.757 (0.764)	Data 0.001 (0.002)	Loss 2.4267 (2.1752)	Prec@1 34.375 (45.083)	Prec@5 67.969 (75.659)
Epoch: [48][4430/14090]	Time 0.736 (0.764)	Data 0.001 (0.002)	Loss 1.8762 (2.1751)	Prec@1 51.562 (45.085)	Prec@5 81.250 (75.664)
Epoch: [48][4440/14090]	Time 0.727 (0.764)	Data 0.003 (0.002)	Loss 2.4499 (2.1750)	Prec@1 42.188 (45.086)	Prec@5 66.406 (75.666)
Epoch: [48][4450/14090]	Time 0.738 (0.764)	Data 0.001 (0.002)	Loss 2.2922 (2.1749)	Prec@1 41.406 (45.085)	Prec@5 71.875 (75.669)
Epoch: [48][4460/14090]	Time 0.745 (0.764)	Data 0.001 (0.002)	Loss 2.3107 (2.1751)	Prec@1 45.312 (45.084)	Prec@5 76.562 (75.670)
Epoch: [48][4470/14090]	Time 0.886 (0.764)	Data 0.001 (0.002)	Loss 1.8561 (2.1750)	Prec@1 54.688 (45.088)	Prec@5 77.344 (75.673)
Epoch: [48][4480/14090]	Time 0.777 (0.764)	Data 0.001 (0.002)	Loss 2.0454 (2.1750)	Prec@1 48.438 (45.086)	Prec@5 77.344 (75.677)
Epoch: [48][4490/14090]	Time 0.751 (0.764)	Data 0.001 (0.002)	Loss 2.1499 (2.1752)	Prec@1 43.750 (45.081)	Prec@5 77.344 (75.677)
Epoch: [48][4500/14090]	Time 0.724 (0.764)	Data 0.001 (0.002)	Loss 2.4345 (2.1753)	Prec@1 38.281 (45.078)	Prec@5 69.531 (75.677)
Epoch: [48][4510/14090]	Time 0.737 (0.764)	Data 0.001 (0.002)	Loss 2.5738 (2.1753)	Prec@1 37.500 (45.077)	Prec@5 67.188 (75.675)
Epoch: [48][4520/14090]	Time 0.723 (0.764)	Data 0.001 (0.002)	Loss 2.1353 (2.1753)	Prec@1 47.656 (45.077)	Prec@5 75.781 (75.675)
Epoch: [48][4530/14090]	Time 0.731 (0.764)	Data 0.001 (0.002)	Loss 2.4690 (2.1755)	Prec@1 44.531 (45.073)	Prec@5 70.312 (75.673)
Epoch: [48][4540/14090]	Time 0.897 (0.764)	Data 0.001 (0.002)	Loss 2.3871 (2.1753)	Prec@1 39.062 (45.078)	Prec@5 71.094 (75.674)
Epoch: [48][4550/14090]	Time 0.745 (0.764)	Data 0.001 (0.002)	Loss 1.9873 (2.1753)	Prec@1 52.344 (45.080)	Prec@5 80.469 (75.675)
Epoch: [48][4560/14090]	Time 0.729 (0.764)	Data 0.001 (0.002)	Loss 2.2710 (2.1754)	Prec@1 44.531 (45.079)	Prec@5 72.656 (75.673)
Epoch: [48][4570/14090]	Time 0.757 (0.764)	Data 0.001 (0.002)	Loss 2.2357 (2.1755)	Prec@1 39.844 (45.075)	Prec@5 77.344 (75.674)
Epoch: [48][4580/14090]	Time 0.750 (0.764)	Data 0.001 (0.002)	Loss 2.1199 (2.1756)	Prec@1 46.875 (45.068)	Prec@5 79.688 (75.673)
Epoch: [48][4590/14090]	Time 0.725 (0.764)	Data 0.001 (0.002)	Loss 1.9591 (2.1755)	Prec@1 45.312 (45.072)	Prec@5 76.562 (75.673)
Epoch: [48][4600/14090]	Time 0.727 (0.764)	Data 0.001 (0.002)	Loss 2.1576 (2.1754)	Prec@1 46.094 (45.074)	Prec@5 76.562 (75.675)
Epoch: [48][4610/14090]	Time 0.843 (0.764)	Data 0.001 (0.002)	Loss 2.2012 (2.1753)	Prec@1 46.094 (45.074)	Prec@5 75.000 (75.677)
Epoch: [48][4620/14090]	Time 0.748 (0.764)	Data 0.001 (0.002)	Loss 2.4162 (2.1754)	Prec@1 42.188 (45.072)	Prec@5 76.562 (75.677)
Epoch: [48][4630/14090]	Time 0.757 (0.764)	Data 0.001 (0.002)	Loss 2.1913 (2.1755)	Prec@1 45.312 (45.073)	Prec@5 78.906 (75.676)
Epoch: [48][4640/14090]	Time 0.768 (0.764)	Data 0.001 (0.002)	Loss 2.4094 (2.1757)	Prec@1 39.062 (45.066)	Prec@5 67.188 (75.672)
Epoch: [48][4650/14090]	Time 0.756 (0.764)	Data 0.001 (0.002)	Loss 2.4227 (2.1759)	Prec@1 39.844 (45.062)	Prec@5 72.656 (75.670)
Epoch: [48][4660/14090]	Time 0.730 (0.764)	Data 0.001 (0.002)	Loss 2.1937 (2.1760)	Prec@1 40.625 (45.062)	Prec@5 74.219 (75.666)
Epoch: [48][4670/14090]	Time 0.783 (0.764)	Data 0.001 (0.002)	Loss 2.4139 (2.1760)	Prec@1 40.625 (45.065)	Prec@5 70.312 (75.667)
Epoch: [48][4680/14090]	Time 0.902 (0.764)	Data 0.001 (0.002)	Loss 2.1926 (2.1761)	Prec@1 49.219 (45.063)	Prec@5 78.125 (75.668)
Epoch: [48][4690/14090]	Time 0.735 (0.764)	Data 0.001 (0.002)	Loss 2.2405 (2.1762)	Prec@1 38.281 (45.058)	Prec@5 74.219 (75.667)
Epoch: [48][4700/14090]	Time 0.740 (0.764)	Data 0.001 (0.002)	Loss 2.0357 (2.1761)	Prec@1 46.875 (45.059)	Prec@5 78.125 (75.670)
Epoch: [48][4710/14090]	Time 0.743 (0.764)	Data 0.001 (0.002)	Loss 1.8287 (2.1760)	Prec@1 51.562 (45.064)	Prec@5 79.688 (75.671)
Epoch: [48][4720/14090]	Time 0.757 (0.764)	Data 0.001 (0.002)	Loss 2.6015 (2.1763)	Prec@1 39.844 (45.059)	Prec@5 66.406 (75.664)
Epoch: [48][4730/14090]	Time 0.727 (0.764)	Data 0.001 (0.002)	Loss 2.3389 (2.1764)	Prec@1 43.750 (45.060)	Prec@5 70.312 (75.659)
Epoch: [48][4740/14090]	Time 0.744 (0.764)	Data 0.001 (0.002)	Loss 2.2608 (2.1764)	Prec@1 49.219 (45.062)	Prec@5 76.562 (75.660)
Epoch: [48][4750/14090]	Time 0.900 (0.764)	Data 0.001 (0.002)	Loss 2.3811 (2.1765)	Prec@1 39.062 (45.062)	Prec@5 71.875 (75.656)
Epoch: [48][4760/14090]	Time 0.734 (0.764)	Data 0.001 (0.002)	Loss 2.1673 (2.1764)	Prec@1 41.406 (45.063)	Prec@5 75.000 (75.659)
Epoch: [48][4770/14090]	Time 0.736 (0.764)	Data 0.001 (0.002)	Loss 2.1941 (2.1763)	Prec@1 50.000 (45.067)	Prec@5 73.438 (75.660)
Epoch: [48][4780/14090]	Time 0.743 (0.764)	Data 0.001 (0.002)	Loss 2.1070 (2.1766)	Prec@1 46.094 (45.064)	Prec@5 76.562 (75.655)
Epoch: [48][4790/14090]	Time 0.738 (0.764)	Data 0.001 (0.002)	Loss 1.9756 (2.1766)	Prec@1 46.875 (45.064)	Prec@5 82.031 (75.657)
Epoch: [48][4800/14090]	Time 0.757 (0.764)	Data 0.001 (0.002)	Loss 2.0961 (2.1764)	Prec@1 45.312 (45.067)	Prec@5 73.438 (75.661)
Epoch: [48][4810/14090]	Time 0.729 (0.764)	Data 0.001 (0.002)	Loss 2.0069 (2.1765)	Prec@1 50.000 (45.070)	Prec@5 78.906 (75.659)
Epoch: [48][4820/14090]	Time 0.884 (0.764)	Data 0.001 (0.002)	Loss 1.9758 (2.1765)	Prec@1 42.188 (45.072)	Prec@5 76.562 (75.657)
Epoch: [48][4830/14090]	Time 0.752 (0.764)	Data 0.001 (0.002)	Loss 2.0884 (2.1765)	Prec@1 51.562 (45.071)	Prec@5 78.906 (75.656)
Epoch: [48][4840/14090]	Time 0.752 (0.764)	Data 0.001 (0.002)	Loss 2.1021 (2.1765)	Prec@1 46.094 (45.074)	Prec@5 76.562 (75.657)
Epoch: [48][4850/14090]	Time 0.773 (0.764)	Data 0.001 (0.002)	Loss 2.0233 (2.1765)	Prec@1 42.188 (45.071)	Prec@5 79.688 (75.657)
Epoch: [48][4860/14090]	Time 0.748 (0.764)	Data 0.001 (0.002)	Loss 2.4043 (2.1766)	Prec@1 39.062 (45.069)	Prec@5 71.094 (75.656)
Epoch: [48][4870/14090]	Time 0.743 (0.764)	Data 0.001 (0.002)	Loss 2.0056 (2.1767)	Prec@1 51.562 (45.066)	Prec@5 77.344 (75.655)
Epoch: [48][4880/14090]	Time 0.770 (0.764)	Data 0.001 (0.002)	Loss 2.3488 (2.1766)	Prec@1 36.719 (45.068)	Prec@5 73.438 (75.654)
Epoch: [48][4890/14090]	Time 0.878 (0.764)	Data 0.001 (0.002)	Loss 1.9812 (2.1765)	Prec@1 52.344 (45.076)	Prec@5 79.688 (75.653)
Epoch: [48][4900/14090]	Time 0.746 (0.764)	Data 0.001 (0.002)	Loss 2.1805 (2.1763)	Prec@1 42.188 (45.080)	Prec@5 75.781 (75.656)
Epoch: [48][4910/14090]	Time 0.762 (0.764)	Data 0.001 (0.002)	Loss 2.0929 (2.1764)	Prec@1 46.875 (45.077)	Prec@5 77.344 (75.655)
Epoch: [48][4920/14090]	Time 0.748 (0.764)	Data 0.001 (0.002)	Loss 2.0575 (2.1762)	Prec@1 50.781 (45.079)	Prec@5 78.906 (75.657)
Epoch: [48][4930/14090]	Time 0.746 (0.764)	Data 0.001 (0.002)	Loss 2.1075 (2.1760)	Prec@1 46.094 (45.085)	Prec@5 78.906 (75.661)
Epoch: [48][4940/14090]	Time 0.727 (0.764)	Data 0.001 (0.002)	Loss 2.2352 (2.1761)	Prec@1 43.750 (45.084)	Prec@5 71.875 (75.660)
Epoch: [48][4950/14090]	Time 0.754 (0.764)	Data 0.001 (0.002)	Loss 2.5099 (2.1761)	Prec@1 40.625 (45.082)	Prec@5 67.969 (75.658)
Epoch: [48][4960/14090]	Time 0.884 (0.764)	Data 0.001 (0.002)	Loss 1.9325 (2.1763)	Prec@1 50.781 (45.077)	Prec@5 80.469 (75.655)
Epoch: [48][4970/14090]	Time 0.740 (0.764)	Data 0.001 (0.002)	Loss 2.2013 (2.1762)	Prec@1 41.406 (45.076)	Prec@5 77.344 (75.655)
Epoch: [48][4980/14090]	Time 0.739 (0.764)	Data 0.001 (0.002)	Loss 2.1012 (2.1764)	Prec@1 45.312 (45.073)	Prec@5 81.250 (75.653)
Epoch: [48][4990/14090]	Time 0.749 (0.764)	Data 0.001 (0.002)	Loss 2.0675 (2.1764)	Prec@1 50.000 (45.074)	Prec@5 76.562 (75.652)
Epoch: [48][5000/14090]	Time 0.755 (0.764)	Data 0.001 (0.002)	Loss 2.1257 (2.1765)	Prec@1 49.219 (45.072)	Prec@5 78.906 (75.653)
Epoch: [48][5010/14090]	Time 0.738 (0.764)	Data 0.001 (0.002)	Loss 2.2937 (2.1765)	Prec@1 40.625 (45.068)	Prec@5 76.562 (75.654)
Epoch: [48][5020/14090]	Time 0.752 (0.764)	Data 0.001 (0.002)	Loss 2.3409 (2.1765)	Prec@1 42.969 (45.071)	Prec@5 73.438 (75.656)
Epoch: [48][5030/14090]	Time 0.848 (0.764)	Data 0.001 (0.002)	Loss 2.1387 (2.1765)	Prec@1 39.844 (45.066)	Prec@5 72.656 (75.655)
Epoch: [48][5040/14090]	Time 0.757 (0.764)	Data 0.001 (0.002)	Loss 1.9746 (2.1766)	Prec@1 47.656 (45.062)	Prec@5 79.688 (75.655)
Epoch: [48][5050/14090]	Time 0.753 (0.764)	Data 0.001 (0.002)	Loss 2.4906 (2.1768)	Prec@1 42.188 (45.058)	Prec@5 67.188 (75.649)
Epoch: [48][5060/14090]	Time 0.743 (0.764)	Data 0.001 (0.002)	Loss 2.2911 (2.1769)	Prec@1 48.438 (45.056)	Prec@5 71.875 (75.647)
Epoch: [48][5070/14090]	Time 0.732 (0.764)	Data 0.001 (0.002)	Loss 1.9996 (2.1769)	Prec@1 46.094 (45.055)	Prec@5 83.594 (75.647)
Epoch: [48][5080/14090]	Time 0.754 (0.764)	Data 0.001 (0.002)	Loss 2.3115 (2.1771)	Prec@1 39.062 (45.053)	Prec@5 74.219 (75.642)
Epoch: [48][5090/14090]	Time 0.742 (0.764)	Data 0.001 (0.002)	Loss 2.2255 (2.1771)	Prec@1 41.406 (45.051)	Prec@5 76.562 (75.642)
Epoch: [48][5100/14090]	Time 1.038 (0.764)	Data 0.001 (0.002)	Loss 1.8038 (2.1770)	Prec@1 51.562 (45.052)	Prec@5 81.250 (75.643)
Epoch: [48][5110/14090]	Time 0.755 (0.764)	Data 0.001 (0.002)	Loss 2.2892 (2.1771)	Prec@1 42.188 (45.051)	Prec@5 70.312 (75.640)
Epoch: [48][5120/14090]	Time 0.727 (0.764)	Data 0.001 (0.002)	Loss 2.2018 (2.1772)	Prec@1 42.969 (45.048)	Prec@5 76.562 (75.640)
Epoch: [48][5130/14090]	Time 0.738 (0.764)	Data 0.001 (0.002)	Loss 2.0689 (2.1771)	Prec@1 46.094 (45.052)	Prec@5 76.562 (75.641)
Epoch: [48][5140/14090]	Time 0.741 (0.764)	Data 0.001 (0.002)	Loss 2.1266 (2.1773)	Prec@1 46.094 (45.048)	Prec@5 76.562 (75.638)
Epoch: [48][5150/14090]	Time 0.756 (0.764)	Data 0.001 (0.002)	Loss 2.1393 (2.1774)	Prec@1 45.312 (45.045)	Prec@5 76.562 (75.636)
Epoch: [48][5160/14090]	Time 0.746 (0.764)	Data 0.001 (0.002)	Loss 2.0637 (2.1774)	Prec@1 45.312 (45.045)	Prec@5 75.000 (75.638)
Epoch: [48][5170/14090]	Time 0.869 (0.764)	Data 0.001 (0.002)	Loss 2.3492 (2.1775)	Prec@1 42.188 (45.045)	Prec@5 71.875 (75.635)
Epoch: [48][5180/14090]	Time 0.743 (0.764)	Data 0.001 (0.002)	Loss 2.0027 (2.1775)	Prec@1 50.781 (45.043)	Prec@5 78.125 (75.634)
Epoch: [48][5190/14090]	Time 0.760 (0.764)	Data 0.001 (0.002)	Loss 2.1368 (2.1775)	Prec@1 40.625 (45.042)	Prec@5 77.344 (75.631)
Epoch: [48][5200/14090]	Time 0.750 (0.764)	Data 0.001 (0.002)	Loss 2.1514 (2.1776)	Prec@1 44.531 (45.041)	Prec@5 78.906 (75.631)
Epoch: [48][5210/14090]	Time 0.740 (0.764)	Data 0.001 (0.002)	Loss 1.9375 (2.1776)	Prec@1 55.469 (45.048)	Prec@5 79.688 (75.630)
Epoch: [48][5220/14090]	Time 0.744 (0.764)	Data 0.001 (0.002)	Loss 2.3180 (2.1776)	Prec@1 39.062 (45.048)	Prec@5 73.438 (75.630)
Epoch: [48][5230/14090]	Time 0.743 (0.764)	Data 0.001 (0.002)	Loss 2.1735 (2.1776)	Prec@1 45.312 (45.049)	Prec@5 76.562 (75.626)
Epoch: [48][5240/14090]	Time 0.884 (0.764)	Data 0.001 (0.002)	Loss 2.3198 (2.1775)	Prec@1 44.531 (45.051)	Prec@5 74.219 (75.630)
Epoch: [48][5250/14090]	Time 0.732 (0.764)	Data 0.001 (0.002)	Loss 2.0333 (2.1776)	Prec@1 46.094 (45.047)	Prec@5 75.781 (75.627)
Epoch: [48][5260/14090]	Time 0.735 (0.764)	Data 0.001 (0.002)	Loss 2.0845 (2.1777)	Prec@1 47.656 (45.044)	Prec@5 78.906 (75.625)
Epoch: [48][5270/14090]	Time 0.733 (0.764)	Data 0.001 (0.002)	Loss 2.0843 (2.1777)	Prec@1 49.219 (45.044)	Prec@5 80.469 (75.627)
Epoch: [48][5280/14090]	Time 0.725 (0.764)	Data 0.001 (0.002)	Loss 2.0319 (2.1775)	Prec@1 50.781 (45.049)	Prec@5 79.688 (75.629)
Epoch: [48][5290/14090]	Time 0.755 (0.764)	Data 0.001 (0.002)	Loss 2.2764 (2.1776)	Prec@1 38.281 (45.046)	Prec@5 78.906 (75.630)
Epoch: [48][5300/14090]	Time 0.725 (0.764)	Data 0.001 (0.002)	Loss 2.2927 (2.1775)	Prec@1 42.969 (45.047)	Prec@5 71.094 (75.631)
Epoch: [48][5310/14090]	Time 0.922 (0.764)	Data 0.001 (0.002)	Loss 2.1414 (2.1776)	Prec@1 44.531 (45.047)	Prec@5 75.781 (75.628)
Epoch: [48][5320/14090]	Time 0.762 (0.764)	Data 0.001 (0.002)	Loss 2.2646 (2.1777)	Prec@1 38.281 (45.042)	Prec@5 75.781 (75.628)
Epoch: [48][5330/14090]	Time 0.749 (0.764)	Data 0.001 (0.002)	Loss 2.2316 (2.1775)	Prec@1 42.969 (45.045)	Prec@5 75.000 (75.632)
Epoch: [48][5340/14090]	Time 0.751 (0.764)	Data 0.001 (0.002)	Loss 2.4057 (2.1774)	Prec@1 41.406 (45.047)	Prec@5 68.750 (75.632)
Epoch: [48][5350/14090]	Time 0.777 (0.764)	Data 0.001 (0.002)	Loss 1.9312 (2.1774)	Prec@1 47.656 (45.050)	Prec@5 83.594 (75.632)
Epoch: [48][5360/14090]	Time 0.762 (0.764)	Data 0.001 (0.002)	Loss 2.1461 (2.1773)	Prec@1 45.312 (45.053)	Prec@5 77.344 (75.636)
Epoch: [48][5370/14090]	Time 0.733 (0.764)	Data 0.001 (0.002)	Loss 2.1803 (2.1773)	Prec@1 40.625 (45.050)	Prec@5 79.688 (75.637)
Epoch: [48][5380/14090]	Time 0.883 (0.764)	Data 0.001 (0.002)	Loss 2.0624 (2.1774)	Prec@1 48.438 (45.052)	Prec@5 75.000 (75.635)
Epoch: [48][5390/14090]	Time 0.737 (0.764)	Data 0.001 (0.002)	Loss 2.2242 (2.1773)	Prec@1 42.188 (45.054)	Prec@5 78.906 (75.638)
Epoch: [48][5400/14090]	Time 0.742 (0.764)	Data 0.001 (0.002)	Loss 2.3135 (2.1772)	Prec@1 44.531 (45.056)	Prec@5 71.875 (75.638)
Epoch: [48][5410/14090]	Time 0.739 (0.764)	Data 0.001 (0.002)	Loss 1.9148 (2.1770)	Prec@1 55.469 (45.061)	Prec@5 72.656 (75.640)
Epoch: [48][5420/14090]	Time 0.734 (0.764)	Data 0.001 (0.002)	Loss 2.3272 (2.1770)	Prec@1 44.531 (45.063)	Prec@5 73.438 (75.640)
Epoch: [48][5430/14090]	Time 0.755 (0.764)	Data 0.001 (0.002)	Loss 2.0440 (2.1770)	Prec@1 49.219 (45.064)	Prec@5 80.469 (75.641)
Epoch: [48][5440/14090]	Time 0.752 (0.764)	Data 0.001 (0.002)	Loss 1.8574 (2.1770)	Prec@1 49.219 (45.065)	Prec@5 79.688 (75.639)
Epoch: [48][5450/14090]	Time 0.839 (0.764)	Data 0.001 (0.002)	Loss 2.2399 (2.1771)	Prec@1 46.094 (45.064)	Prec@5 71.875 (75.639)
Epoch: [48][5460/14090]	Time 0.751 (0.764)	Data 0.001 (0.002)	Loss 1.9774 (2.1770)	Prec@1 46.094 (45.064)	Prec@5 81.250 (75.641)
Epoch: [48][5470/14090]	Time 0.742 (0.764)	Data 0.001 (0.002)	Loss 2.4481 (2.1772)	Prec@1 40.625 (45.060)	Prec@5 75.000 (75.637)
Epoch: [48][5480/14090]	Time 0.748 (0.764)	Data 0.001 (0.002)	Loss 2.2919 (2.1774)	Prec@1 42.969 (45.055)	Prec@5 74.219 (75.633)
Epoch: [48][5490/14090]	Time 0.753 (0.764)	Data 0.001 (0.002)	Loss 2.2983 (2.1775)	Prec@1 39.844 (45.053)	Prec@5 75.000 (75.632)
Epoch: [48][5500/14090]	Time 0.727 (0.764)	Data 0.001 (0.002)	Loss 2.3243 (2.1774)	Prec@1 42.188 (45.055)	Prec@5 70.312 (75.633)
Epoch: [48][5510/14090]	Time 0.745 (0.764)	Data 0.001 (0.002)	Loss 2.5274 (2.1773)	Prec@1 42.969 (45.057)	Prec@5 66.406 (75.632)
Epoch: [48][5520/14090]	Time 0.876 (0.764)	Data 0.001 (0.002)	Loss 2.2127 (2.1773)	Prec@1 44.531 (45.059)	Prec@5 75.000 (75.632)
Epoch: [48][5530/14090]	Time 0.757 (0.764)	Data 0.001 (0.002)	Loss 2.0654 (2.1773)	Prec@1 47.656 (45.058)	Prec@5 77.344 (75.633)
Epoch: [48][5540/14090]	Time 0.752 (0.764)	Data 0.001 (0.002)	Loss 2.1714 (2.1773)	Prec@1 39.062 (45.057)	Prec@5 76.562 (75.630)
Epoch: [48][5550/14090]	Time 0.727 (0.764)	Data 0.001 (0.002)	Loss 2.2553 (2.1773)	Prec@1 46.094 (45.060)	Prec@5 77.344 (75.630)
Epoch: [48][5560/14090]	Time 0.741 (0.764)	Data 0.001 (0.002)	Loss 2.1056 (2.1773)	Prec@1 44.531 (45.059)	Prec@5 78.906 (75.630)
Epoch: [48][5570/14090]	Time 0.753 (0.764)	Data 0.001 (0.002)	Loss 2.0864 (2.1773)	Prec@1 44.531 (45.060)	Prec@5 75.000 (75.628)
Epoch: [48][5580/14090]	Time 0.745 (0.764)	Data 0.001 (0.002)	Loss 2.0931 (2.1773)	Prec@1 43.750 (45.057)	Prec@5 74.219 (75.627)
Epoch: [48][5590/14090]	Time 0.845 (0.764)	Data 0.001 (0.002)	Loss 2.2112 (2.1774)	Prec@1 46.094 (45.059)	Prec@5 75.000 (75.626)
Epoch: [48][5600/14090]	Time 0.739 (0.764)	Data 0.001 (0.002)	Loss 2.1405 (2.1774)	Prec@1 46.094 (45.060)	Prec@5 75.000 (75.624)
Epoch: [48][5610/14090]	Time 0.731 (0.764)	Data 0.001 (0.002)	Loss 2.1196 (2.1774)	Prec@1 47.656 (45.059)	Prec@5 75.000 (75.626)
Epoch: [48][5620/14090]	Time 0.739 (0.764)	Data 0.001 (0.002)	Loss 2.2640 (2.1776)	Prec@1 43.750 (45.055)	Prec@5 74.219 (75.625)
Epoch: [48][5630/14090]	Time 0.737 (0.764)	Data 0.001 (0.002)	Loss 2.1989 (2.1776)	Prec@1 42.188 (45.051)	Prec@5 75.781 (75.626)
Epoch: [48][5640/14090]	Time 0.762 (0.764)	Data 0.001 (0.002)	Loss 2.1162 (2.1777)	Prec@1 46.094 (45.050)	Prec@5 76.562 (75.627)
Epoch: [48][5650/14090]	Time 0.745 (0.764)	Data 0.001 (0.002)	Loss 2.2639 (2.1777)	Prec@1 46.875 (45.048)	Prec@5 73.438 (75.627)
Epoch: [48][5660/14090]	Time 0.872 (0.764)	Data 0.002 (0.002)	Loss 2.4052 (2.1779)	Prec@1 44.531 (45.044)	Prec@5 70.312 (75.624)
Epoch: [48][5670/14090]	Time 0.736 (0.764)	Data 0.001 (0.002)	Loss 2.1081 (2.1778)	Prec@1 46.094 (45.046)	Prec@5 78.125 (75.626)
Epoch: [48][5680/14090]	Time 0.742 (0.764)	Data 0.001 (0.002)	Loss 1.8137 (2.1776)	Prec@1 56.250 (45.049)	Prec@5 84.375 (75.630)
Epoch: [48][5690/14090]	Time 0.730 (0.764)	Data 0.001 (0.002)	Loss 2.3969 (2.1777)	Prec@1 36.719 (45.047)	Prec@5 71.094 (75.629)
Epoch: [48][5700/14090]	Time 0.769 (0.764)	Data 0.001 (0.002)	Loss 2.3213 (2.1777)	Prec@1 46.875 (45.047)	Prec@5 76.562 (75.629)
Epoch: [48][5710/14090]	Time 0.741 (0.764)	Data 0.001 (0.002)	Loss 2.1312 (2.1778)	Prec@1 46.094 (45.045)	Prec@5 76.562 (75.629)
Epoch: [48][5720/14090]	Time 0.738 (0.764)	Data 0.001 (0.002)	Loss 2.0827 (2.1778)	Prec@1 53.906 (45.044)	Prec@5 78.125 (75.628)
Epoch: [48][5730/14090]	Time 0.830 (0.764)	Data 0.001 (0.002)	Loss 2.1536 (2.1777)	Prec@1 42.969 (45.047)	Prec@5 77.344 (75.630)
Epoch: [48][5740/14090]	Time 0.738 (0.764)	Data 0.001 (0.002)	Loss 2.0402 (2.1779)	Prec@1 53.125 (45.044)	Prec@5 78.125 (75.623)
Epoch: [48][5750/14090]	Time 0.762 (0.764)	Data 0.001 (0.002)	Loss 2.0624 (2.1780)	Prec@1 42.188 (45.041)	Prec@5 77.344 (75.622)
Epoch: [48][5760/14090]	Time 0.742 (0.764)	Data 0.001 (0.002)	Loss 2.1443 (2.1781)	Prec@1 46.875 (45.039)	Prec@5 76.562 (75.618)
Epoch: [48][5770/14090]	Time 0.730 (0.764)	Data 0.001 (0.002)	Loss 2.0131 (2.1782)	Prec@1 48.438 (45.037)	Prec@5 79.688 (75.618)
Epoch: [48][5780/14090]	Time 0.754 (0.764)	Data 0.001 (0.002)	Loss 2.4250 (2.1783)	Prec@1 34.375 (45.035)	Prec@5 74.219 (75.618)
Epoch: [48][5790/14090]	Time 0.751 (0.764)	Data 0.001 (0.002)	Loss 2.1023 (2.1783)	Prec@1 51.562 (45.038)	Prec@5 75.000 (75.617)
Epoch: [48][5800/14090]	Time 0.865 (0.764)	Data 0.001 (0.002)	Loss 2.0595 (2.1785)	Prec@1 46.094 (45.031)	Prec@5 78.906 (75.613)
Epoch: [48][5810/14090]	Time 0.746 (0.764)	Data 0.001 (0.002)	Loss 2.1747 (2.1784)	Prec@1 45.312 (45.032)	Prec@5 77.344 (75.614)
Epoch: [48][5820/14090]	Time 0.761 (0.764)	Data 0.001 (0.002)	Loss 1.9037 (2.1783)	Prec@1 50.000 (45.032)	Prec@5 78.125 (75.614)
Epoch: [48][5830/14090]	Time 0.731 (0.764)	Data 0.001 (0.002)	Loss 2.1115 (2.1783)	Prec@1 46.875 (45.033)	Prec@5 79.688 (75.615)
Epoch: [48][5840/14090]	Time 0.732 (0.764)	Data 0.001 (0.002)	Loss 2.2773 (2.1784)	Prec@1 42.188 (45.035)	Prec@5 78.125 (75.612)
Epoch: [48][5850/14090]	Time 0.756 (0.764)	Data 0.001 (0.002)	Loss 2.2477 (2.1783)	Prec@1 45.312 (45.036)	Prec@5 73.438 (75.613)
Epoch: [48][5860/14090]	Time 0.755 (0.764)	Data 0.001 (0.002)	Loss 2.0557 (2.1783)	Prec@1 39.062 (45.035)	Prec@5 80.469 (75.617)
Epoch: [48][5870/14090]	Time 0.905 (0.764)	Data 0.001 (0.002)	Loss 2.3661 (2.1784)	Prec@1 39.844 (45.034)	Prec@5 69.531 (75.614)
Epoch: [48][5880/14090]	Time 0.767 (0.764)	Data 0.001 (0.002)	Loss 2.1311 (2.1784)	Prec@1 46.875 (45.034)	Prec@5 77.344 (75.614)
Epoch: [48][5890/14090]	Time 0.740 (0.764)	Data 0.001 (0.002)	Loss 2.0286 (2.1783)	Prec@1 50.000 (45.035)	Prec@5 79.688 (75.615)
Epoch: [48][5900/14090]	Time 0.759 (0.764)	Data 0.001 (0.002)	Loss 2.3770 (2.1784)	Prec@1 42.188 (45.036)	Prec@5 75.000 (75.614)
Epoch: [48][5910/14090]	Time 0.745 (0.764)	Data 0.001 (0.002)	Loss 2.1787 (2.1785)	Prec@1 44.531 (45.032)	Prec@5 71.875 (75.612)
Epoch: [48][5920/14090]	Time 0.733 (0.764)	Data 0.001 (0.002)	Loss 2.1399 (2.1786)	Prec@1 45.312 (45.032)	Prec@5 75.000 (75.610)
Epoch: [48][5930/14090]	Time 0.746 (0.764)	Data 0.001 (0.002)	Loss 2.0398 (2.1785)	Prec@1 50.781 (45.035)	Prec@5 76.562 (75.613)
Epoch: [48][5940/14090]	Time 0.903 (0.764)	Data 0.001 (0.002)	Loss 2.1460 (2.1785)	Prec@1 40.625 (45.034)	Prec@5 79.688 (75.613)
Epoch: [48][5950/14090]	Time 0.751 (0.764)	Data 0.001 (0.002)	Loss 2.3862 (2.1787)	Prec@1 39.844 (45.030)	Prec@5 75.781 (75.609)
Epoch: [48][5960/14090]	Time 0.737 (0.764)	Data 0.001 (0.002)	Loss 2.2970 (2.1788)	Prec@1 44.531 (45.031)	Prec@5 74.219 (75.606)
Epoch: [48][5970/14090]	Time 0.771 (0.764)	Data 0.001 (0.002)	Loss 2.1277 (2.1788)	Prec@1 42.188 (45.030)	Prec@5 76.562 (75.607)
Epoch: [48][5980/14090]	Time 0.744 (0.764)	Data 0.001 (0.002)	Loss 2.3265 (2.1790)	Prec@1 44.531 (45.026)	Prec@5 73.438 (75.603)
Epoch: [48][5990/14090]	Time 0.728 (0.764)	Data 0.001 (0.002)	Loss 2.6258 (2.1792)	Prec@1 36.719 (45.023)	Prec@5 64.062 (75.601)
Epoch: [48][6000/14090]	Time 0.770 (0.764)	Data 0.001 (0.002)	Loss 1.9430 (2.1792)	Prec@1 50.781 (45.022)	Prec@5 77.344 (75.600)
Epoch: [48][6010/14090]	Time 0.860 (0.764)	Data 0.001 (0.002)	Loss 2.5246 (2.1793)	Prec@1 39.062 (45.019)	Prec@5 72.656 (75.601)
Epoch: [48][6020/14090]	Time 0.736 (0.764)	Data 0.001 (0.002)	Loss 2.1699 (2.1793)	Prec@1 50.000 (45.021)	Prec@5 75.000 (75.599)
Epoch: [48][6030/14090]	Time 0.763 (0.764)	Data 0.001 (0.002)	Loss 1.9648 (2.1794)	Prec@1 52.344 (45.017)	Prec@5 81.250 (75.599)
Epoch: [48][6040/14090]	Time 0.741 (0.764)	Data 0.001 (0.002)	Loss 2.2770 (2.1794)	Prec@1 45.312 (45.016)	Prec@5 74.219 (75.601)
Epoch: [48][6050/14090]	Time 0.767 (0.764)	Data 0.001 (0.002)	Loss 2.2667 (2.1796)	Prec@1 42.969 (45.015)	Prec@5 74.219 (75.599)
Epoch: [48][6060/14090]	Time 0.740 (0.764)	Data 0.001 (0.002)	Loss 2.3406 (2.1795)	Prec@1 43.750 (45.015)	Prec@5 71.094 (75.601)
Epoch: [48][6070/14090]	Time 0.757 (0.764)	Data 0.001 (0.002)	Loss 2.1491 (2.1795)	Prec@1 44.531 (45.018)	Prec@5 74.219 (75.601)
Epoch: [48][6080/14090]	Time 0.872 (0.764)	Data 0.001 (0.002)	Loss 2.2203 (2.1796)	Prec@1 46.094 (45.014)	Prec@5 74.219 (75.598)
Epoch: [48][6090/14090]	Time 0.734 (0.764)	Data 0.001 (0.002)	Loss 2.3486 (2.1797)	Prec@1 41.406 (45.015)	Prec@5 70.312 (75.596)
Epoch: [48][6100/14090]	Time 0.727 (0.764)	Data 0.001 (0.002)	Loss 2.1464 (2.1797)	Prec@1 47.656 (45.015)	Prec@5 75.781 (75.597)
Epoch: [48][6110/14090]	Time 0.755 (0.764)	Data 0.002 (0.002)	Loss 1.9475 (2.1797)	Prec@1 43.750 (45.011)	Prec@5 82.031 (75.597)
Epoch: [48][6120/14090]	Time 0.769 (0.764)	Data 0.001 (0.002)	Loss 2.3153 (2.1798)	Prec@1 43.750 (45.008)	Prec@5 70.312 (75.596)
Epoch: [48][6130/14090]	Time 0.742 (0.764)	Data 0.001 (0.002)	Loss 2.2090 (2.1799)	Prec@1 40.625 (45.004)	Prec@5 76.562 (75.594)
Epoch: [48][6140/14090]	Time 0.753 (0.764)	Data 0.001 (0.002)	Loss 2.1370 (2.1799)	Prec@1 44.531 (45.003)	Prec@5 75.781 (75.593)
Epoch: [48][6150/14090]	Time 0.889 (0.764)	Data 0.001 (0.002)	Loss 2.6155 (2.1799)	Prec@1 42.188 (45.005)	Prec@5 66.406 (75.595)
Epoch: [48][6160/14090]	Time 0.736 (0.764)	Data 0.001 (0.002)	Loss 2.2010 (2.1799)	Prec@1 47.656 (45.005)	Prec@5 76.562 (75.594)
Epoch: [48][6170/14090]	Time 0.725 (0.764)	Data 0.001 (0.002)	Loss 2.0855 (2.1799)	Prec@1 47.656 (45.005)	Prec@5 76.562 (75.594)
Epoch: [48][6180/14090]	Time 0.751 (0.764)	Data 0.001 (0.002)	Loss 2.5454 (2.1800)	Prec@1 33.594 (44.999)	Prec@5 71.875 (75.593)
Epoch: [48][6190/14090]	Time 0.759 (0.764)	Data 0.001 (0.002)	Loss 2.3938 (2.1800)	Prec@1 41.406 (45.000)	Prec@5 71.875 (75.592)
Epoch: [48][6200/14090]	Time 0.761 (0.764)	Data 0.001 (0.002)	Loss 1.8312 (2.1799)	Prec@1 50.781 (45.001)	Prec@5 75.781 (75.593)
Epoch: [48][6210/14090]	Time 0.731 (0.764)	Data 0.001 (0.002)	Loss 1.9652 (2.1797)	Prec@1 47.656 (45.002)	Prec@5 80.469 (75.597)
Epoch: [48][6220/14090]	Time 0.855 (0.764)	Data 0.001 (0.002)	Loss 2.4083 (2.1798)	Prec@1 37.500 (44.999)	Prec@5 68.750 (75.595)
Epoch: [48][6230/14090]	Time 0.752 (0.764)	Data 0.001 (0.002)	Loss 2.2690 (2.1799)	Prec@1 43.750 (44.997)	Prec@5 74.219 (75.592)
Epoch: [48][6240/14090]	Time 0.758 (0.764)	Data 0.001 (0.002)	Loss 1.9584 (2.1799)	Prec@1 50.000 (44.999)	Prec@5 80.469 (75.594)
Epoch: [48][6250/14090]	Time 0.764 (0.764)	Data 0.001 (0.002)	Loss 2.0319 (2.1797)	Prec@1 48.438 (45.002)	Prec@5 79.688 (75.597)
Epoch: [48][6260/14090]	Time 0.734 (0.764)	Data 0.001 (0.002)	Loss 2.1541 (2.1798)	Prec@1 43.750 (45.000)	Prec@5 75.000 (75.593)
Epoch: [48][6270/14090]	Time 0.733 (0.764)	Data 0.001 (0.002)	Loss 2.3115 (2.1799)	Prec@1 44.531 (45.002)	Prec@5 69.531 (75.592)
Epoch: [48][6280/14090]	Time 0.753 (0.764)	Data 0.001 (0.002)	Loss 2.3452 (2.1799)	Prec@1 39.062 (45.000)	Prec@5 72.656 (75.594)
Epoch: [48][6290/14090]	Time 0.874 (0.764)	Data 0.001 (0.002)	Loss 2.1362 (2.1800)	Prec@1 42.188 (44.992)	Prec@5 75.781 (75.592)
Epoch: [48][6300/14090]	Time 0.741 (0.764)	Data 0.001 (0.002)	Loss 2.2138 (2.1802)	Prec@1 42.969 (44.992)	Prec@5 73.438 (75.588)
Epoch: [48][6310/14090]	Time 0.747 (0.764)	Data 0.001 (0.002)	Loss 2.4153 (2.1803)	Prec@1 39.844 (44.991)	Prec@5 70.312 (75.586)
Epoch: [48][6320/14090]	Time 0.746 (0.764)	Data 0.001 (0.002)	Loss 2.1335 (2.1804)	Prec@1 42.188 (44.990)	Prec@5 74.219 (75.585)
Epoch: [48][6330/14090]	Time 0.759 (0.764)	Data 0.001 (0.002)	Loss 2.2422 (2.1803)	Prec@1 41.406 (44.990)	Prec@5 72.656 (75.587)
Epoch: [48][6340/14090]	Time 0.730 (0.764)	Data 0.002 (0.002)	Loss 2.3129 (2.1802)	Prec@1 40.625 (44.988)	Prec@5 71.875 (75.589)
Epoch: [48][6350/14090]	Time 0.730 (0.764)	Data 0.001 (0.002)	Loss 2.1096 (2.1803)	Prec@1 49.219 (44.988)	Prec@5 74.219 (75.589)
Epoch: [48][6360/14090]	Time 0.876 (0.764)	Data 0.001 (0.002)	Loss 1.6944 (2.1802)	Prec@1 50.781 (44.988)	Prec@5 85.156 (75.594)
Epoch: [48][6370/14090]	Time 0.735 (0.764)	Data 0.001 (0.002)	Loss 2.1078 (2.1804)	Prec@1 46.094 (44.984)	Prec@5 77.344 (75.592)
Epoch: [48][6380/14090]	Time 0.763 (0.764)	Data 0.001 (0.002)	Loss 2.0867 (2.1804)	Prec@1 50.781 (44.983)	Prec@5 73.438 (75.592)
Epoch: [48][6390/14090]	Time 0.737 (0.764)	Data 0.001 (0.002)	Loss 2.3118 (2.1805)	Prec@1 38.281 (44.981)	Prec@5 76.562 (75.591)
Epoch: [48][6400/14090]	Time 0.722 (0.764)	Data 0.001 (0.002)	Loss 2.0977 (2.1805)	Prec@1 42.188 (44.981)	Prec@5 81.250 (75.592)
Epoch: [48][6410/14090]	Time 0.765 (0.764)	Data 0.001 (0.002)	Loss 2.3069 (2.1804)	Prec@1 39.062 (44.982)	Prec@5 75.000 (75.594)
Epoch: [48][6420/14090]	Time 0.779 (0.764)	Data 0.001 (0.002)	Loss 2.0924 (2.1803)	Prec@1 45.312 (44.984)	Prec@5 79.688 (75.597)
Epoch: [48][6430/14090]	Time 0.886 (0.764)	Data 0.001 (0.002)	Loss 2.3259 (2.1803)	Prec@1 39.844 (44.985)	Prec@5 71.875 (75.596)
Epoch: [48][6440/14090]	Time 0.733 (0.764)	Data 0.001 (0.002)	Loss 2.0556 (2.1801)	Prec@1 47.656 (44.988)	Prec@5 74.219 (75.598)
Epoch: [48][6450/14090]	Time 0.733 (0.764)	Data 0.001 (0.002)	Loss 2.2036 (2.1803)	Prec@1 38.281 (44.985)	Prec@5 75.781 (75.596)
Epoch: [48][6460/14090]	Time 0.731 (0.764)	Data 0.001 (0.002)	Loss 2.0938 (2.1804)	Prec@1 53.125 (44.986)	Prec@5 78.906 (75.593)
Epoch: [48][6470/14090]	Time 0.749 (0.764)	Data 0.001 (0.002)	Loss 2.3998 (2.1804)	Prec@1 39.062 (44.984)	Prec@5 67.969 (75.591)
Epoch: [48][6480/14090]	Time 0.769 (0.764)	Data 0.001 (0.002)	Loss 2.1077 (2.1803)	Prec@1 46.875 (44.987)	Prec@5 74.219 (75.589)
Epoch: [48][6490/14090]	Time 0.744 (0.764)	Data 0.001 (0.002)	Loss 2.1679 (2.1803)	Prec@1 42.969 (44.986)	Prec@5 79.688 (75.591)
Epoch: [48][6500/14090]	Time 0.867 (0.764)	Data 0.001 (0.002)	Loss 2.0329 (2.1802)	Prec@1 51.562 (44.989)	Prec@5 73.438 (75.593)
Epoch: [48][6510/14090]	Time 0.735 (0.764)	Data 0.001 (0.002)	Loss 2.0946 (2.1803)	Prec@1 43.750 (44.988)	Prec@5 77.344 (75.593)
Epoch: [48][6520/14090]	Time 0.732 (0.764)	Data 0.001 (0.002)	Loss 2.1408 (2.1802)	Prec@1 46.094 (44.990)	Prec@5 78.125 (75.594)
Epoch: [48][6530/14090]	Time 0.748 (0.764)	Data 0.001 (0.002)	Loss 2.2919 (2.1802)	Prec@1 42.188 (44.990)	Prec@5 76.562 (75.596)
Epoch: [48][6540/14090]	Time 0.722 (0.764)	Data 0.001 (0.002)	Loss 1.9214 (2.1802)	Prec@1 53.906 (44.993)	Prec@5 80.469 (75.596)
Epoch: [48][6550/14090]	Time 0.755 (0.764)	Data 0.001 (0.002)	Loss 2.1322 (2.1800)	Prec@1 44.531 (44.992)	Prec@5 79.688 (75.596)
Epoch: [48][6560/14090]	Time 0.733 (0.764)	Data 0.001 (0.002)	Loss 1.8309 (2.1800)	Prec@1 50.000 (44.992)	Prec@5 79.688 (75.598)
Epoch: [48][6570/14090]	Time 0.917 (0.764)	Data 0.001 (0.002)	Loss 1.8569 (2.1798)	Prec@1 55.469 (44.993)	Prec@5 81.250 (75.600)
Epoch: [48][6580/14090]	Time 0.736 (0.764)	Data 0.001 (0.002)	Loss 1.9777 (2.1797)	Prec@1 50.000 (44.993)	Prec@5 82.812 (75.601)
Epoch: [48][6590/14090]	Time 0.751 (0.764)	Data 0.001 (0.002)	Loss 1.9569 (2.1797)	Prec@1 48.438 (44.992)	Prec@5 80.469 (75.599)
Epoch: [48][6600/14090]	Time 0.750 (0.764)	Data 0.001 (0.002)	Loss 2.3213 (2.1798)	Prec@1 42.969 (44.994)	Prec@5 75.781 (75.598)
Epoch: [48][6610/14090]	Time 0.726 (0.764)	Data 0.001 (0.002)	Loss 1.9586 (2.1798)	Prec@1 46.875 (44.992)	Prec@5 78.125 (75.597)
Epoch: [48][6620/14090]	Time 0.763 (0.764)	Data 0.001 (0.002)	Loss 2.1280 (2.1799)	Prec@1 46.094 (44.992)	Prec@5 77.344 (75.595)
Epoch: [48][6630/14090]	Time 0.733 (0.764)	Data 0.001 (0.002)	Loss 2.3016 (2.1798)	Prec@1 42.188 (44.995)	Prec@5 73.438 (75.596)
Epoch: [48][6640/14090]	Time 0.887 (0.764)	Data 0.001 (0.002)	Loss 2.1021 (2.1800)	Prec@1 46.094 (44.992)	Prec@5 73.438 (75.590)
Epoch: [48][6650/14090]	Time 0.742 (0.764)	Data 0.001 (0.002)	Loss 2.2289 (2.1800)	Prec@1 46.875 (44.992)	Prec@5 75.000 (75.589)
Epoch: [48][6660/14090]	Time 0.744 (0.764)	Data 0.001 (0.002)	Loss 2.0272 (2.1801)	Prec@1 47.656 (44.990)	Prec@5 77.344 (75.589)
Epoch: [48][6670/14090]	Time 0.720 (0.764)	Data 0.001 (0.002)	Loss 1.9155 (2.1800)	Prec@1 55.469 (44.993)	Prec@5 80.469 (75.591)
Epoch: [48][6680/14090]	Time 0.736 (0.764)	Data 0.001 (0.002)	Loss 2.4227 (2.1800)	Prec@1 36.719 (44.992)	Prec@5 72.656 (75.592)
Epoch: [48][6690/14090]	Time 0.750 (0.764)	Data 0.001 (0.002)	Loss 2.3101 (2.1800)	Prec@1 42.188 (44.992)	Prec@5 75.781 (75.592)
Epoch: [48][6700/14090]	Time 0.760 (0.764)	Data 0.001 (0.002)	Loss 2.3756 (2.1801)	Prec@1 40.625 (44.990)	Prec@5 70.312 (75.591)
Epoch: [48][6710/14090]	Time 0.847 (0.764)	Data 0.001 (0.002)	Loss 2.4430 (2.1802)	Prec@1 41.406 (44.988)	Prec@5 72.656 (75.587)
Epoch: [48][6720/14090]	Time 0.741 (0.764)	Data 0.001 (0.002)	Loss 2.2227 (2.1802)	Prec@1 51.562 (44.989)	Prec@5 75.781 (75.585)
Epoch: [48][6730/14090]	Time 0.743 (0.764)	Data 0.001 (0.002)	Loss 2.2908 (2.1804)	Prec@1 38.281 (44.985)	Prec@5 71.875 (75.583)
Epoch: [48][6740/14090]	Time 0.750 (0.764)	Data 0.001 (0.002)	Loss 2.7201 (2.1804)	Prec@1 33.594 (44.986)	Prec@5 65.625 (75.585)
Epoch: [48][6750/14090]	Time 0.779 (0.764)	Data 0.001 (0.002)	Loss 1.9088 (2.1804)	Prec@1 50.000 (44.986)	Prec@5 79.688 (75.584)
Epoch: [48][6760/14090]	Time 0.767 (0.764)	Data 0.001 (0.002)	Loss 2.2185 (2.1803)	Prec@1 46.094 (44.990)	Prec@5 74.219 (75.586)
Epoch: [48][6770/14090]	Time 0.732 (0.764)	Data 0.001 (0.002)	Loss 2.1998 (2.1803)	Prec@1 42.188 (44.987)	Prec@5 76.562 (75.583)
Epoch: [48][6780/14090]	Time 0.883 (0.764)	Data 0.001 (0.002)	Loss 2.1670 (2.1804)	Prec@1 46.875 (44.986)	Prec@5 75.781 (75.582)
Epoch: [48][6790/14090]	Time 0.754 (0.764)	Data 0.001 (0.002)	Loss 2.4441 (2.1805)	Prec@1 46.094 (44.983)	Prec@5 68.750 (75.581)
Epoch: [48][6800/14090]	Time 0.779 (0.764)	Data 0.001 (0.002)	Loss 2.2502 (2.1804)	Prec@1 41.406 (44.987)	Prec@5 76.562 (75.582)
Epoch: [48][6810/14090]	Time 0.748 (0.764)	Data 0.001 (0.002)	Loss 1.7318 (2.1804)	Prec@1 51.562 (44.987)	Prec@5 82.812 (75.581)
Epoch: [48][6820/14090]	Time 0.754 (0.764)	Data 0.001 (0.002)	Loss 1.9501 (2.1803)	Prec@1 52.344 (44.989)	Prec@5 80.469 (75.582)
Epoch: [48][6830/14090]	Time 0.759 (0.764)	Data 0.001 (0.002)	Loss 2.2422 (2.1803)	Prec@1 44.531 (44.988)	Prec@5 71.875 (75.583)
Epoch: [48][6840/14090]	Time 0.757 (0.764)	Data 0.001 (0.002)	Loss 2.0448 (2.1802)	Prec@1 53.125 (44.990)	Prec@5 75.781 (75.586)
Epoch: [48][6850/14090]	Time 0.834 (0.764)	Data 0.001 (0.002)	Loss 1.9738 (2.1802)	Prec@1 46.875 (44.990)	Prec@5 76.562 (75.586)
Epoch: [48][6860/14090]	Time 0.737 (0.764)	Data 0.001 (0.002)	Loss 2.2231 (2.1803)	Prec@1 47.656 (44.989)	Prec@5 72.656 (75.583)
Epoch: [48][6870/14090]	Time 0.744 (0.764)	Data 0.001 (0.002)	Loss 2.2281 (2.1803)	Prec@1 42.188 (44.988)	Prec@5 75.781 (75.583)
Epoch: [48][6880/14090]	Time 0.734 (0.764)	Data 0.001 (0.002)	Loss 2.1806 (2.1804)	Prec@1 46.094 (44.988)	Prec@5 75.781 (75.580)
Epoch: [48][6890/14090]	Time 0.753 (0.764)	Data 0.001 (0.002)	Loss 2.1822 (2.1804)	Prec@1 42.188 (44.988)	Prec@5 75.781 (75.579)
Epoch: [48][6900/14090]	Time 0.758 (0.764)	Data 0.001 (0.002)	Loss 2.2370 (2.1805)	Prec@1 44.531 (44.986)	Prec@5 70.312 (75.575)
Epoch: [48][6910/14090]	Time 0.787 (0.764)	Data 0.001 (0.002)	Loss 2.1328 (2.1805)	Prec@1 43.750 (44.986)	Prec@5 75.781 (75.577)
Epoch: [48][6920/14090]	Time 0.869 (0.764)	Data 0.001 (0.002)	Loss 2.2821 (2.1805)	Prec@1 36.719 (44.981)	Prec@5 70.312 (75.577)
Epoch: [48][6930/14090]	Time 0.746 (0.764)	Data 0.001 (0.002)	Loss 2.4333 (2.1806)	Prec@1 42.188 (44.979)	Prec@5 70.312 (75.578)
Epoch: [48][6940/14090]	Time 0.761 (0.764)	Data 0.001 (0.002)	Loss 2.4844 (2.1806)	Prec@1 40.625 (44.980)	Prec@5 70.312 (75.577)
Epoch: [48][6950/14090]	Time 0.731 (0.764)	Data 0.001 (0.002)	Loss 2.0993 (2.1805)	Prec@1 50.000 (44.980)	Prec@5 73.438 (75.577)
Epoch: [48][6960/14090]	Time 0.752 (0.764)	Data 0.001 (0.002)	Loss 1.9357 (2.1805)	Prec@1 49.219 (44.982)	Prec@5 72.656 (75.576)
Epoch: [48][6970/14090]	Time 0.723 (0.764)	Data 0.001 (0.002)	Loss 2.1047 (2.1805)	Prec@1 42.969 (44.979)	Prec@5 76.562 (75.574)
Epoch: [48][6980/14090]	Time 0.767 (0.764)	Data 0.001 (0.002)	Loss 2.5613 (2.1805)	Prec@1 38.281 (44.978)	Prec@5 71.094 (75.574)
Epoch: [48][6990/14090]	Time 0.915 (0.764)	Data 0.001 (0.002)	Loss 2.2790 (2.1806)	Prec@1 42.188 (44.978)	Prec@5 72.656 (75.574)
Epoch: [48][7000/14090]	Time 0.757 (0.764)	Data 0.001 (0.002)	Loss 2.0559 (2.1806)	Prec@1 42.969 (44.975)	Prec@5 76.562 (75.575)
Epoch: [48][7010/14090]	Time 0.743 (0.764)	Data 0.001 (0.002)	Loss 2.1772 (2.1805)	Prec@1 41.406 (44.977)	Prec@5 78.125 (75.574)
Epoch: [48][7020/14090]	Time 0.742 (0.764)	Data 0.001 (0.002)	Loss 2.0186 (2.1805)	Prec@1 47.656 (44.978)	Prec@5 81.250 (75.576)
Epoch: [48][7030/14090]	Time 0.749 (0.764)	Data 0.001 (0.002)	Loss 2.3252 (2.1805)	Prec@1 40.625 (44.979)	Prec@5 71.875 (75.574)
Epoch: [48][7040/14090]	Time 0.733 (0.764)	Data 0.001 (0.002)	Loss 2.0514 (2.1806)	Prec@1 46.094 (44.978)	Prec@5 75.000 (75.570)
Epoch: [48][7050/14090]	Time 0.740 (0.764)	Data 0.001 (0.002)	Loss 2.3439 (2.1806)	Prec@1 47.656 (44.980)	Prec@5 71.094 (75.570)
Epoch: [48][7060/14090]	Time 0.883 (0.764)	Data 0.001 (0.002)	Loss 2.3077 (2.1806)	Prec@1 39.844 (44.978)	Prec@5 72.656 (75.571)
Epoch: [48][7070/14090]	Time 0.738 (0.764)	Data 0.001 (0.002)	Loss 2.0825 (2.1806)	Prec@1 45.312 (44.980)	Prec@5 78.125 (75.571)
Epoch: [48][7080/14090]	Time 0.748 (0.764)	Data 0.001 (0.002)	Loss 2.0154 (2.1806)	Prec@1 45.312 (44.978)	Prec@5 79.688 (75.570)
Epoch: [48][7090/14090]	Time 0.733 (0.764)	Data 0.001 (0.002)	Loss 1.8586 (2.1806)	Prec@1 53.125 (44.975)	Prec@5 78.906 (75.572)
Epoch: [48][7100/14090]	Time 0.740 (0.764)	Data 0.001 (0.002)	Loss 2.2724 (2.1806)	Prec@1 44.531 (44.976)	Prec@5 71.875 (75.572)
Epoch: [48][7110/14090]	Time 0.736 (0.764)	Data 0.001 (0.002)	Loss 2.3836 (2.1806)	Prec@1 39.062 (44.974)	Prec@5 73.438 (75.572)
Epoch: [48][7120/14090]	Time 0.758 (0.764)	Data 0.001 (0.002)	Loss 2.2022 (2.1807)	Prec@1 46.094 (44.974)	Prec@5 75.000 (75.570)
Epoch: [48][7130/14090]	Time 0.846 (0.764)	Data 0.001 (0.002)	Loss 2.1550 (2.1807)	Prec@1 50.000 (44.972)	Prec@5 74.219 (75.571)
Epoch: [48][7140/14090]	Time 0.747 (0.764)	Data 0.001 (0.002)	Loss 2.2923 (2.1808)	Prec@1 39.062 (44.970)	Prec@5 72.656 (75.570)
Epoch: [48][7150/14090]	Time 0.745 (0.764)	Data 0.001 (0.002)	Loss 2.3659 (2.1809)	Prec@1 36.719 (44.967)	Prec@5 73.438 (75.569)
Epoch: [48][7160/14090]	Time 0.740 (0.764)	Data 0.001 (0.002)	Loss 2.2547 (2.1810)	Prec@1 38.281 (44.963)	Prec@5 73.438 (75.567)
Epoch: [48][7170/14090]	Time 0.750 (0.764)	Data 0.001 (0.002)	Loss 2.2812 (2.1809)	Prec@1 38.281 (44.965)	Prec@5 72.656 (75.569)
Epoch: [48][7180/14090]	Time 0.754 (0.764)	Data 0.001 (0.002)	Loss 1.9158 (2.1808)	Prec@1 51.562 (44.967)	Prec@5 82.031 (75.571)
Epoch: [48][7190/14090]	Time 0.725 (0.764)	Data 0.001 (0.002)	Loss 2.2725 (2.1808)	Prec@1 46.875 (44.969)	Prec@5 74.219 (75.569)
Epoch: [48][7200/14090]	Time 0.866 (0.764)	Data 0.001 (0.002)	Loss 2.4862 (2.1809)	Prec@1 42.188 (44.967)	Prec@5 64.844 (75.564)
Epoch: [48][7210/14090]	Time 0.749 (0.764)	Data 0.001 (0.002)	Loss 2.1557 (2.1810)	Prec@1 42.969 (44.968)	Prec@5 75.000 (75.563)
Epoch: [48][7220/14090]	Time 0.758 (0.764)	Data 0.001 (0.002)	Loss 2.3610 (2.1810)	Prec@1 39.062 (44.966)	Prec@5 72.656 (75.561)
Epoch: [48][7230/14090]	Time 0.732 (0.764)	Data 0.001 (0.002)	Loss 2.3687 (2.1809)	Prec@1 38.281 (44.968)	Prec@5 74.219 (75.561)
Epoch: [48][7240/14090]	Time 0.728 (0.764)	Data 0.001 (0.002)	Loss 1.9701 (2.1810)	Prec@1 52.344 (44.966)	Prec@5 77.344 (75.560)
Epoch: [48][7250/14090]	Time 0.750 (0.764)	Data 0.001 (0.002)	Loss 2.1166 (2.1810)	Prec@1 45.312 (44.964)	Prec@5 79.688 (75.560)
Epoch: [48][7260/14090]	Time 0.752 (0.764)	Data 0.001 (0.002)	Loss 2.2909 (2.1811)	Prec@1 43.750 (44.962)	Prec@5 75.781 (75.558)
Epoch: [48][7270/14090]	Time 0.912 (0.764)	Data 0.001 (0.002)	Loss 2.2757 (2.1810)	Prec@1 39.844 (44.963)	Prec@5 72.656 (75.559)
Epoch: [48][7280/14090]	Time 0.737 (0.764)	Data 0.001 (0.002)	Loss 2.3099 (2.1812)	Prec@1 39.844 (44.960)	Prec@5 77.344 (75.555)
Epoch: [48][7290/14090]	Time 0.745 (0.764)	Data 0.001 (0.002)	Loss 2.0348 (2.1810)	Prec@1 46.094 (44.965)	Prec@5 76.562 (75.559)
Epoch: [48][7300/14090]	Time 0.750 (0.764)	Data 0.001 (0.002)	Loss 1.9956 (2.1811)	Prec@1 50.000 (44.964)	Prec@5 80.469 (75.559)
Epoch: [48][7310/14090]	Time 0.751 (0.764)	Data 0.001 (0.002)	Loss 2.0882 (2.1811)	Prec@1 43.750 (44.963)	Prec@5 78.906 (75.558)
Epoch: [48][7320/14090]	Time 0.739 (0.764)	Data 0.001 (0.002)	Loss 2.4576 (2.1812)	Prec@1 36.719 (44.961)	Prec@5 72.656 (75.555)
Epoch: [48][7330/14090]	Time 0.739 (0.764)	Data 0.001 (0.002)	Loss 2.0563 (2.1812)	Prec@1 44.531 (44.959)	Prec@5 75.000 (75.553)
Epoch: [48][7340/14090]	Time 0.847 (0.764)	Data 0.001 (0.002)	Loss 2.3858 (2.1813)	Prec@1 40.625 (44.958)	Prec@5 68.750 (75.549)
Epoch: [48][7350/14090]	Time 0.738 (0.764)	Data 0.001 (0.002)	Loss 2.2163 (2.1811)	Prec@1 42.969 (44.962)	Prec@5 78.125 (75.552)
Epoch: [48][7360/14090]	Time 0.730 (0.764)	Data 0.001 (0.002)	Loss 2.3773 (2.1812)	Prec@1 46.094 (44.963)	Prec@5 72.656 (75.551)
Epoch: [48][7370/14090]	Time 0.755 (0.764)	Data 0.001 (0.002)	Loss 1.7744 (2.1812)	Prec@1 54.688 (44.963)	Prec@5 84.375 (75.551)
Epoch: [48][7380/14090]	Time 0.755 (0.764)	Data 0.001 (0.002)	Loss 2.5620 (2.1812)	Prec@1 41.406 (44.965)	Prec@5 71.875 (75.551)
Epoch: [48][7390/14090]	Time 0.751 (0.764)	Data 0.001 (0.002)	Loss 2.3018 (2.1812)	Prec@1 39.062 (44.964)	Prec@5 78.906 (75.553)
Epoch: [48][7400/14090]	Time 0.746 (0.764)	Data 0.001 (0.002)	Loss 1.9131 (2.1811)	Prec@1 50.000 (44.967)	Prec@5 77.344 (75.552)
Epoch: [48][7410/14090]	Time 0.826 (0.764)	Data 0.001 (0.002)	Loss 2.0695 (2.1811)	Prec@1 46.875 (44.966)	Prec@5 76.562 (75.553)
Epoch: [48][7420/14090]	Time 0.776 (0.764)	Data 0.001 (0.002)	Loss 2.0319 (2.1811)	Prec@1 51.562 (44.968)	Prec@5 78.906 (75.554)
Epoch: [48][7430/14090]	Time 0.744 (0.764)	Data 0.001 (0.002)	Loss 2.0807 (2.1811)	Prec@1 45.312 (44.967)	Prec@5 77.344 (75.554)
Epoch: [48][7440/14090]	Time 0.771 (0.764)	Data 0.001 (0.002)	Loss 2.1153 (2.1812)	Prec@1 46.875 (44.965)	Prec@5 77.344 (75.551)
Epoch: [48][7450/14090]	Time 0.741 (0.764)	Data 0.001 (0.002)	Loss 2.2264 (2.1813)	Prec@1 50.000 (44.965)	Prec@5 75.781 (75.548)
Epoch: [48][7460/14090]	Time 0.750 (0.764)	Data 0.001 (0.002)	Loss 2.1937 (2.1813)	Prec@1 39.844 (44.962)	Prec@5 74.219 (75.548)
Epoch: [48][7470/14090]	Time 0.749 (0.764)	Data 0.001 (0.002)	Loss 2.3820 (2.1813)	Prec@1 40.625 (44.960)	Prec@5 68.750 (75.546)
Epoch: [48][7480/14090]	Time 0.861 (0.764)	Data 0.001 (0.002)	Loss 2.0297 (2.1813)	Prec@1 52.344 (44.962)	Prec@5 78.906 (75.547)
Epoch: [48][7490/14090]	Time 0.760 (0.764)	Data 0.001 (0.002)	Loss 2.3623 (2.1814)	Prec@1 33.594 (44.960)	Prec@5 72.656 (75.543)
Epoch: [48][7500/14090]	Time 0.730 (0.764)	Data 0.001 (0.002)	Loss 2.0649 (2.1814)	Prec@1 46.094 (44.959)	Prec@5 76.562 (75.543)
Epoch: [48][7510/14090]	Time 0.749 (0.764)	Data 0.001 (0.002)	Loss 2.1947 (2.1815)	Prec@1 43.750 (44.957)	Prec@5 75.781 (75.541)
Epoch: [48][7520/14090]	Time 0.757 (0.764)	Data 0.001 (0.002)	Loss 2.2996 (2.1816)	Prec@1 46.094 (44.957)	Prec@5 71.094 (75.540)
Epoch: [48][7530/14090]	Time 0.754 (0.764)	Data 0.001 (0.002)	Loss 1.9847 (2.1816)	Prec@1 46.094 (44.958)	Prec@5 78.906 (75.540)
Epoch: [48][7540/14090]	Time 0.729 (0.764)	Data 0.001 (0.002)	Loss 2.2401 (2.1817)	Prec@1 45.312 (44.961)	Prec@5 71.875 (75.538)
Epoch: [48][7550/14090]	Time 0.902 (0.764)	Data 0.001 (0.002)	Loss 2.4400 (2.1819)	Prec@1 40.625 (44.954)	Prec@5 72.656 (75.536)
Epoch: [48][7560/14090]	Time 0.751 (0.764)	Data 0.001 (0.002)	Loss 2.1709 (2.1820)	Prec@1 45.312 (44.953)	Prec@5 77.344 (75.534)
Epoch: [48][7570/14090]	Time 0.743 (0.764)	Data 0.001 (0.002)	Loss 2.2075 (2.1821)	Prec@1 43.750 (44.949)	Prec@5 75.000 (75.531)
Epoch: [48][7580/14090]	Time 0.741 (0.764)	Data 0.001 (0.002)	Loss 2.2713 (2.1821)	Prec@1 45.312 (44.950)	Prec@5 76.562 (75.531)
Epoch: [48][7590/14090]	Time 0.767 (0.764)	Data 0.001 (0.002)	Loss 2.1063 (2.1820)	Prec@1 42.188 (44.950)	Prec@5 76.562 (75.534)
Epoch: [48][7600/14090]	Time 0.760 (0.764)	Data 0.001 (0.002)	Loss 2.1533 (2.1820)	Prec@1 48.438 (44.952)	Prec@5 75.781 (75.534)
Epoch: [48][7610/14090]	Time 0.742 (0.764)	Data 0.001 (0.002)	Loss 2.2166 (2.1820)	Prec@1 42.969 (44.954)	Prec@5 74.219 (75.535)
Epoch: [48][7620/14090]	Time 0.903 (0.764)	Data 0.001 (0.002)	Loss 2.1517 (2.1820)	Prec@1 46.875 (44.956)	Prec@5 75.781 (75.536)
Epoch: [48][7630/14090]	Time 0.764 (0.764)	Data 0.001 (0.002)	Loss 2.1288 (2.1818)	Prec@1 47.656 (44.960)	Prec@5 71.875 (75.538)
Epoch: [48][7640/14090]	Time 0.724 (0.764)	Data 0.001 (0.002)	Loss 1.9416 (2.1820)	Prec@1 47.656 (44.955)	Prec@5 75.781 (75.535)
Epoch: [48][7650/14090]	Time 0.766 (0.764)	Data 0.001 (0.002)	Loss 2.1527 (2.1819)	Prec@1 44.531 (44.957)	Prec@5 75.781 (75.538)
Epoch: [48][7660/14090]	Time 0.756 (0.764)	Data 0.001 (0.002)	Loss 2.3143 (2.1818)	Prec@1 43.750 (44.958)	Prec@5 72.656 (75.541)
Epoch: [48][7670/14090]	Time 0.765 (0.764)	Data 0.001 (0.002)	Loss 1.9360 (2.1818)	Prec@1 46.094 (44.957)	Prec@5 81.250 (75.541)
Epoch: [48][7680/14090]	Time 0.752 (0.764)	Data 0.001 (0.002)	Loss 2.1227 (2.1818)	Prec@1 47.656 (44.955)	Prec@5 79.688 (75.544)
Epoch: [48][7690/14090]	Time 0.830 (0.764)	Data 0.001 (0.002)	Loss 2.2671 (2.1818)	Prec@1 40.625 (44.955)	Prec@5 75.000 (75.545)
Epoch: [48][7700/14090]	Time 0.768 (0.764)	Data 0.001 (0.002)	Loss 2.4370 (2.1819)	Prec@1 41.406 (44.954)	Prec@5 67.969 (75.545)
Epoch: [48][7710/14090]	Time 0.764 (0.764)	Data 0.001 (0.002)	Loss 2.1519 (2.1819)	Prec@1 42.969 (44.954)	Prec@5 76.562 (75.545)
Epoch: [48][7720/14090]	Time 0.746 (0.764)	Data 0.001 (0.002)	Loss 2.1671 (2.1819)	Prec@1 43.750 (44.951)	Prec@5 79.688 (75.545)
Epoch: [48][7730/14090]	Time 0.727 (0.764)	Data 0.001 (0.002)	Loss 2.1067 (2.1818)	Prec@1 41.406 (44.950)	Prec@5 78.125 (75.547)
Epoch: [48][7740/14090]	Time 0.752 (0.764)	Data 0.001 (0.002)	Loss 2.2784 (2.1819)	Prec@1 41.406 (44.952)	Prec@5 72.656 (75.547)
Epoch: [48][7750/14090]	Time 0.775 (0.764)	Data 0.001 (0.002)	Loss 2.1863 (2.1818)	Prec@1 46.875 (44.951)	Prec@5 77.344 (75.548)
Epoch: [48][7760/14090]	Time 0.837 (0.764)	Data 0.001 (0.002)	Loss 2.1445 (2.1819)	Prec@1 45.312 (44.951)	Prec@5 73.438 (75.547)
Epoch: [48][7770/14090]	Time 0.732 (0.764)	Data 0.001 (0.002)	Loss 1.9891 (2.1818)	Prec@1 49.219 (44.952)	Prec@5 82.031 (75.547)
Epoch: [48][7780/14090]	Time 0.760 (0.764)	Data 0.001 (0.002)	Loss 1.9051 (2.1818)	Prec@1 48.438 (44.952)	Prec@5 80.469 (75.548)
Epoch: [48][7790/14090]	Time 0.729 (0.764)	Data 0.001 (0.002)	Loss 2.3168 (2.1817)	Prec@1 42.188 (44.955)	Prec@5 75.000 (75.551)
Epoch: [48][7800/14090]	Time 0.737 (0.764)	Data 0.001 (0.002)	Loss 1.9417 (2.1817)	Prec@1 51.562 (44.956)	Prec@5 78.125 (75.551)
Epoch: [48][7810/14090]	Time 0.728 (0.764)	Data 0.001 (0.002)	Loss 2.1258 (2.1817)	Prec@1 47.656 (44.955)	Prec@5 71.094 (75.550)
Epoch: [48][7820/14090]	Time 0.755 (0.764)	Data 0.002 (0.002)	Loss 2.0323 (2.1817)	Prec@1 50.781 (44.959)	Prec@5 79.688 (75.550)
Epoch: [48][7830/14090]	Time 0.852 (0.764)	Data 0.001 (0.002)	Loss 2.0173 (2.1817)	Prec@1 47.656 (44.960)	Prec@5 80.469 (75.549)
Epoch: [48][7840/14090]	Time 0.755 (0.764)	Data 0.001 (0.002)	Loss 2.3861 (2.1817)	Prec@1 38.281 (44.958)	Prec@5 70.312 (75.548)
Epoch: [48][7850/14090]	Time 0.739 (0.764)	Data 0.001 (0.002)	Loss 1.8627 (2.1817)	Prec@1 52.344 (44.960)	Prec@5 81.250 (75.549)
Epoch: [48][7860/14090]	Time 0.735 (0.764)	Data 0.001 (0.002)	Loss 2.2566 (2.1818)	Prec@1 37.500 (44.959)	Prec@5 73.438 (75.547)
Epoch: [48][7870/14090]	Time 0.735 (0.764)	Data 0.001 (0.002)	Loss 2.0400 (2.1818)	Prec@1 46.875 (44.959)	Prec@5 78.906 (75.547)
Epoch: [48][7880/14090]	Time 0.725 (0.764)	Data 0.001 (0.002)	Loss 2.2621 (2.1819)	Prec@1 46.875 (44.958)	Prec@5 75.781 (75.545)
Epoch: [48][7890/14090]	Time 0.753 (0.764)	Data 0.001 (0.002)	Loss 2.5924 (2.1819)	Prec@1 35.938 (44.958)	Prec@5 68.750 (75.545)
Epoch: [48][7900/14090]	Time 0.843 (0.764)	Data 0.001 (0.002)	Loss 1.9224 (2.1820)	Prec@1 50.000 (44.956)	Prec@5 78.906 (75.544)
Epoch: [48][7910/14090]	Time 0.765 (0.764)	Data 0.001 (0.002)	Loss 1.9433 (2.1821)	Prec@1 55.469 (44.955)	Prec@5 78.125 (75.542)
Epoch: [48][7920/14090]	Time 0.744 (0.764)	Data 0.001 (0.002)	Loss 2.1345 (2.1821)	Prec@1 39.062 (44.953)	Prec@5 73.438 (75.541)
Epoch: [48][7930/14090]	Time 0.754 (0.764)	Data 0.001 (0.002)	Loss 1.8796 (2.1821)	Prec@1 57.031 (44.953)	Prec@5 80.469 (75.541)
Epoch: [48][7940/14090]	Time 0.783 (0.764)	Data 0.001 (0.002)	Loss 2.0781 (2.1821)	Prec@1 54.688 (44.953)	Prec@5 77.344 (75.540)
Epoch: [48][7950/14090]	Time 0.725 (0.764)	Data 0.001 (0.002)	Loss 2.2329 (2.1822)	Prec@1 43.750 (44.951)	Prec@5 81.250 (75.541)
Epoch: [48][7960/14090]	Time 0.757 (0.764)	Data 0.001 (0.002)	Loss 2.3235 (2.1823)	Prec@1 39.844 (44.949)	Prec@5 73.438 (75.540)
Epoch: [48][7970/14090]	Time 0.839 (0.764)	Data 0.001 (0.002)	Loss 2.0802 (2.1822)	Prec@1 45.312 (44.952)	Prec@5 76.562 (75.543)
Epoch: [48][7980/14090]	Time 0.727 (0.764)	Data 0.001 (0.002)	Loss 2.3162 (2.1822)	Prec@1 47.656 (44.952)	Prec@5 72.656 (75.543)
Epoch: [48][7990/14090]	Time 0.746 (0.764)	Data 0.001 (0.002)	Loss 2.1722 (2.1822)	Prec@1 47.656 (44.952)	Prec@5 78.125 (75.544)
Epoch: [48][8000/14090]	Time 0.753 (0.764)	Data 0.001 (0.002)	Loss 1.8805 (2.1823)	Prec@1 51.562 (44.949)	Prec@5 81.250 (75.543)
Epoch: [48][8010/14090]	Time 0.750 (0.764)	Data 0.001 (0.002)	Loss 1.7775 (2.1824)	Prec@1 54.688 (44.949)	Prec@5 81.250 (75.543)
Epoch: [48][8020/14090]	Time 0.758 (0.764)	Data 0.001 (0.002)	Loss 2.4816 (2.1823)	Prec@1 39.844 (44.951)	Prec@5 69.531 (75.542)
Epoch: [48][8030/14090]	Time 0.772 (0.764)	Data 0.001 (0.002)	Loss 2.5544 (2.1823)	Prec@1 38.281 (44.951)	Prec@5 67.188 (75.543)
Epoch: [48][8040/14090]	Time 0.880 (0.764)	Data 0.001 (0.002)	Loss 2.2300 (2.1824)	Prec@1 50.000 (44.951)	Prec@5 74.219 (75.542)
Epoch: [48][8050/14090]	Time 0.753 (0.764)	Data 0.001 (0.002)	Loss 2.1748 (2.1824)	Prec@1 39.844 (44.951)	Prec@5 77.344 (75.541)
Epoch: [48][8060/14090]	Time 0.745 (0.764)	Data 0.001 (0.002)	Loss 2.2098 (2.1823)	Prec@1 43.750 (44.953)	Prec@5 77.344 (75.542)
Epoch: [48][8070/14090]	Time 0.731 (0.764)	Data 0.001 (0.002)	Loss 2.3498 (2.1823)	Prec@1 38.281 (44.954)	Prec@5 73.438 (75.543)
Epoch: [48][8080/14090]	Time 0.744 (0.764)	Data 0.001 (0.001)	Loss 2.2170 (2.1822)	Prec@1 42.188 (44.955)	Prec@5 76.562 (75.545)
Epoch: [48][8090/14090]	Time 0.744 (0.764)	Data 0.001 (0.001)	Loss 2.4475 (2.1822)	Prec@1 46.875 (44.956)	Prec@5 70.312 (75.546)
Epoch: [48][8100/14090]	Time 0.717 (0.764)	Data 0.001 (0.001)	Loss 2.0451 (2.1822)	Prec@1 46.875 (44.954)	Prec@5 81.250 (75.545)
Epoch: [48][8110/14090]	Time 0.858 (0.764)	Data 0.001 (0.001)	Loss 2.4038 (2.1824)	Prec@1 40.625 (44.948)	Prec@5 69.531 (75.543)
Epoch: [48][8120/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 2.3408 (2.1824)	Prec@1 42.969 (44.948)	Prec@5 75.000 (75.544)
Epoch: [48][8130/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.2068 (2.1824)	Prec@1 46.094 (44.947)	Prec@5 74.219 (75.544)
Epoch: [48][8140/14090]	Time 0.779 (0.764)	Data 0.001 (0.001)	Loss 2.0835 (2.1825)	Prec@1 46.094 (44.945)	Prec@5 81.250 (75.543)
Epoch: [48][8150/14090]	Time 0.732 (0.764)	Data 0.001 (0.001)	Loss 2.3462 (2.1825)	Prec@1 43.750 (44.944)	Prec@5 74.219 (75.542)
Epoch: [48][8160/14090]	Time 0.748 (0.764)	Data 0.001 (0.001)	Loss 2.1369 (2.1825)	Prec@1 42.188 (44.943)	Prec@5 78.906 (75.541)
Epoch: [48][8170/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 2.0622 (2.1824)	Prec@1 48.438 (44.945)	Prec@5 77.344 (75.541)
Epoch: [48][8180/14090]	Time 0.868 (0.764)	Data 0.001 (0.001)	Loss 2.1067 (2.1825)	Prec@1 44.531 (44.942)	Prec@5 73.438 (75.541)
Epoch: [48][8190/14090]	Time 0.729 (0.764)	Data 0.001 (0.001)	Loss 2.1602 (2.1825)	Prec@1 39.844 (44.942)	Prec@5 71.875 (75.539)
Epoch: [48][8200/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.2127 (2.1825)	Prec@1 46.875 (44.942)	Prec@5 75.781 (75.538)
Epoch: [48][8210/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 2.2168 (2.1825)	Prec@1 44.531 (44.941)	Prec@5 76.562 (75.539)
Epoch: [48][8220/14090]	Time 0.721 (0.764)	Data 0.001 (0.001)	Loss 2.3417 (2.1824)	Prec@1 44.531 (44.942)	Prec@5 74.219 (75.539)
Epoch: [48][8230/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 1.9675 (2.1824)	Prec@1 50.781 (44.942)	Prec@5 79.688 (75.539)
Epoch: [48][8240/14090]	Time 0.759 (0.764)	Data 0.001 (0.001)	Loss 1.9607 (2.1824)	Prec@1 49.219 (44.944)	Prec@5 82.031 (75.538)
Epoch: [48][8250/14090]	Time 0.806 (0.764)	Data 0.001 (0.001)	Loss 2.3167 (2.1824)	Prec@1 44.531 (44.942)	Prec@5 75.000 (75.536)
Epoch: [48][8260/14090]	Time 0.743 (0.764)	Data 0.001 (0.001)	Loss 2.3580 (2.1824)	Prec@1 42.969 (44.942)	Prec@5 70.312 (75.537)
Epoch: [48][8270/14090]	Time 0.743 (0.764)	Data 0.001 (0.001)	Loss 2.2050 (2.1824)	Prec@1 47.656 (44.943)	Prec@5 80.469 (75.537)
Epoch: [48][8280/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 2.2509 (2.1825)	Prec@1 42.188 (44.941)	Prec@5 73.438 (75.538)
Epoch: [48][8290/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.5732 (2.1826)	Prec@1 34.375 (44.940)	Prec@5 67.188 (75.534)
Epoch: [48][8300/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.0652 (2.1826)	Prec@1 53.906 (44.942)	Prec@5 76.562 (75.535)
Epoch: [48][8310/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 2.2565 (2.1825)	Prec@1 49.219 (44.944)	Prec@5 72.656 (75.536)
Epoch: [48][8320/14090]	Time 0.912 (0.764)	Data 0.001 (0.001)	Loss 2.2427 (2.1826)	Prec@1 43.750 (44.942)	Prec@5 75.781 (75.535)
Epoch: [48][8330/14090]	Time 0.722 (0.764)	Data 0.001 (0.001)	Loss 2.0240 (2.1825)	Prec@1 47.656 (44.944)	Prec@5 75.000 (75.537)
Epoch: [48][8340/14090]	Time 0.726 (0.764)	Data 0.001 (0.001)	Loss 2.0850 (2.1826)	Prec@1 49.219 (44.941)	Prec@5 76.562 (75.535)
Epoch: [48][8350/14090]	Time 0.745 (0.764)	Data 0.001 (0.001)	Loss 2.2616 (2.1825)	Prec@1 41.406 (44.943)	Prec@5 78.906 (75.536)
Epoch: [48][8360/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 2.0312 (2.1826)	Prec@1 47.656 (44.942)	Prec@5 76.562 (75.535)
Epoch: [48][8370/14090]	Time 0.762 (0.764)	Data 0.001 (0.001)	Loss 2.3951 (2.1826)	Prec@1 37.500 (44.941)	Prec@5 70.312 (75.534)
Epoch: [48][8380/14090]	Time 0.732 (0.764)	Data 0.001 (0.001)	Loss 2.2157 (2.1827)	Prec@1 40.625 (44.939)	Prec@5 76.562 (75.534)
Epoch: [48][8390/14090]	Time 0.864 (0.764)	Data 0.001 (0.001)	Loss 2.3219 (2.1828)	Prec@1 43.750 (44.937)	Prec@5 71.094 (75.531)
Epoch: [48][8400/14090]	Time 0.725 (0.764)	Data 0.001 (0.001)	Loss 2.0365 (2.1828)	Prec@1 49.219 (44.936)	Prec@5 79.688 (75.533)
Epoch: [48][8410/14090]	Time 0.761 (0.764)	Data 0.001 (0.001)	Loss 2.2711 (2.1827)	Prec@1 42.188 (44.938)	Prec@5 72.656 (75.534)
Epoch: [48][8420/14090]	Time 0.739 (0.764)	Data 0.001 (0.001)	Loss 2.2912 (2.1828)	Prec@1 45.312 (44.937)	Prec@5 67.188 (75.532)
Epoch: [48][8430/14090]	Time 0.733 (0.764)	Data 0.001 (0.001)	Loss 2.1505 (2.1828)	Prec@1 50.000 (44.937)	Prec@5 74.219 (75.533)
Epoch: [48][8440/14090]	Time 0.748 (0.764)	Data 0.001 (0.001)	Loss 1.9133 (2.1827)	Prec@1 48.438 (44.939)	Prec@5 82.812 (75.534)
Epoch: [48][8450/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 2.3064 (2.1828)	Prec@1 40.625 (44.938)	Prec@5 73.438 (75.534)
Epoch: [48][8460/14090]	Time 0.850 (0.764)	Data 0.001 (0.001)	Loss 2.0680 (2.1827)	Prec@1 52.344 (44.938)	Prec@5 73.438 (75.533)
Epoch: [48][8470/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 2.2235 (2.1828)	Prec@1 43.750 (44.936)	Prec@5 75.781 (75.533)
Epoch: [48][8480/14090]	Time 0.762 (0.764)	Data 0.001 (0.001)	Loss 2.3093 (2.1828)	Prec@1 46.875 (44.936)	Prec@5 74.219 (75.533)
Epoch: [48][8490/14090]	Time 0.744 (0.764)	Data 0.001 (0.001)	Loss 2.0838 (2.1828)	Prec@1 48.438 (44.938)	Prec@5 80.469 (75.534)
Epoch: [48][8500/14090]	Time 0.733 (0.764)	Data 0.001 (0.001)	Loss 2.3756 (2.1827)	Prec@1 46.094 (44.942)	Prec@5 69.531 (75.534)
Epoch: [48][8510/14090]	Time 0.759 (0.764)	Data 0.001 (0.001)	Loss 2.1926 (2.1827)	Prec@1 43.750 (44.942)	Prec@5 78.125 (75.535)
Epoch: [48][8520/14090]	Time 0.748 (0.764)	Data 0.001 (0.001)	Loss 2.0998 (2.1826)	Prec@1 41.406 (44.944)	Prec@5 82.812 (75.537)
Epoch: [48][8530/14090]	Time 0.884 (0.764)	Data 0.001 (0.001)	Loss 2.0481 (2.1827)	Prec@1 48.438 (44.941)	Prec@5 77.344 (75.537)
Epoch: [48][8540/14090]	Time 0.760 (0.764)	Data 0.001 (0.001)	Loss 2.2134 (2.1827)	Prec@1 42.969 (44.940)	Prec@5 75.781 (75.535)
Epoch: [48][8550/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 2.6666 (2.1827)	Prec@1 35.938 (44.940)	Prec@5 62.500 (75.536)
Epoch: [48][8560/14090]	Time 0.735 (0.764)	Data 0.004 (0.001)	Loss 2.4085 (2.1828)	Prec@1 45.312 (44.939)	Prec@5 73.438 (75.535)
Epoch: [48][8570/14090]	Time 0.760 (0.764)	Data 0.001 (0.001)	Loss 2.1331 (2.1828)	Prec@1 42.188 (44.939)	Prec@5 81.250 (75.536)
Epoch: [48][8580/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 2.1283 (2.1827)	Prec@1 45.312 (44.939)	Prec@5 77.344 (75.535)
Epoch: [48][8590/14090]	Time 0.723 (0.764)	Data 0.001 (0.001)	Loss 2.3844 (2.1829)	Prec@1 39.844 (44.939)	Prec@5 73.438 (75.532)
Epoch: [48][8600/14090]	Time 0.849 (0.764)	Data 0.001 (0.001)	Loss 2.2831 (2.1830)	Prec@1 40.625 (44.934)	Prec@5 76.562 (75.531)
Epoch: [48][8610/14090]	Time 0.721 (0.764)	Data 0.001 (0.001)	Loss 2.2199 (2.1830)	Prec@1 47.656 (44.935)	Prec@5 74.219 (75.531)
Epoch: [48][8620/14090]	Time 0.748 (0.764)	Data 0.001 (0.001)	Loss 2.4840 (2.1830)	Prec@1 45.312 (44.937)	Prec@5 67.969 (75.531)
Epoch: [48][8630/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 2.0997 (2.1829)	Prec@1 46.875 (44.938)	Prec@5 75.781 (75.533)
Epoch: [48][8640/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 2.2118 (2.1830)	Prec@1 41.406 (44.937)	Prec@5 75.781 (75.532)
Epoch: [48][8650/14090]	Time 0.736 (0.764)	Data 0.001 (0.001)	Loss 2.1735 (2.1830)	Prec@1 42.188 (44.934)	Prec@5 78.906 (75.533)
Epoch: [48][8660/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 2.4091 (2.1830)	Prec@1 43.750 (44.934)	Prec@5 67.188 (75.533)
Epoch: [48][8670/14090]	Time 0.894 (0.764)	Data 0.001 (0.001)	Loss 2.2817 (2.1830)	Prec@1 46.094 (44.933)	Prec@5 75.000 (75.533)
Epoch: [48][8680/14090]	Time 0.726 (0.764)	Data 0.001 (0.001)	Loss 2.1172 (2.1831)	Prec@1 46.094 (44.931)	Prec@5 75.781 (75.531)
Epoch: [48][8690/14090]	Time 0.736 (0.764)	Data 0.001 (0.001)	Loss 2.4146 (2.1831)	Prec@1 41.406 (44.933)	Prec@5 69.531 (75.531)
Epoch: [48][8700/14090]	Time 0.733 (0.764)	Data 0.001 (0.001)	Loss 2.1802 (2.1830)	Prec@1 45.312 (44.934)	Prec@5 74.219 (75.532)
Epoch: [48][8710/14090]	Time 0.760 (0.764)	Data 0.001 (0.001)	Loss 2.0089 (2.1831)	Prec@1 47.656 (44.933)	Prec@5 77.344 (75.531)
Epoch: [48][8720/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 2.2175 (2.1832)	Prec@1 45.312 (44.929)	Prec@5 76.562 (75.530)
Epoch: [48][8730/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 2.5014 (2.1832)	Prec@1 41.406 (44.930)	Prec@5 70.312 (75.529)
Epoch: [48][8740/14090]	Time 0.869 (0.764)	Data 0.001 (0.001)	Loss 2.1762 (2.1832)	Prec@1 46.875 (44.929)	Prec@5 73.438 (75.529)
Epoch: [48][8750/14090]	Time 0.780 (0.764)	Data 0.001 (0.001)	Loss 2.2585 (2.1831)	Prec@1 42.188 (44.929)	Prec@5 75.000 (75.530)
Epoch: [48][8760/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 2.5061 (2.1832)	Prec@1 39.844 (44.927)	Prec@5 70.312 (75.531)
Epoch: [48][8770/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.0623 (2.1833)	Prec@1 42.188 (44.924)	Prec@5 76.562 (75.528)
Epoch: [48][8780/14090]	Time 0.768 (0.764)	Data 0.001 (0.001)	Loss 1.9513 (2.1833)	Prec@1 46.875 (44.923)	Prec@5 82.812 (75.528)
Epoch: [48][8790/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 2.2451 (2.1834)	Prec@1 43.750 (44.920)	Prec@5 73.438 (75.526)
Epoch: [48][8800/14090]	Time 0.758 (0.764)	Data 0.001 (0.001)	Loss 2.1278 (2.1834)	Prec@1 39.844 (44.920)	Prec@5 80.469 (75.526)
Epoch: [48][8810/14090]	Time 0.867 (0.764)	Data 0.001 (0.001)	Loss 1.9420 (2.1834)	Prec@1 50.000 (44.920)	Prec@5 75.000 (75.526)
Epoch: [48][8820/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 2.0526 (2.1833)	Prec@1 47.656 (44.922)	Prec@5 76.562 (75.526)
Epoch: [48][8830/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 2.0707 (2.1832)	Prec@1 44.531 (44.924)	Prec@5 77.344 (75.529)
Epoch: [48][8840/14090]	Time 0.761 (0.764)	Data 0.001 (0.001)	Loss 2.2108 (2.1833)	Prec@1 41.406 (44.922)	Prec@5 76.562 (75.529)
Epoch: [48][8850/14090]	Time 0.739 (0.764)	Data 0.001 (0.001)	Loss 2.0464 (2.1833)	Prec@1 52.344 (44.921)	Prec@5 79.688 (75.529)
Epoch: [48][8860/14090]	Time 0.724 (0.764)	Data 0.001 (0.001)	Loss 2.4287 (2.1833)	Prec@1 40.625 (44.921)	Prec@5 72.656 (75.530)
Epoch: [48][8870/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 2.1942 (2.1833)	Prec@1 43.750 (44.922)	Prec@5 73.438 (75.530)
Epoch: [48][8880/14090]	Time 0.878 (0.764)	Data 0.001 (0.001)	Loss 2.2488 (2.1833)	Prec@1 44.531 (44.921)	Prec@5 69.531 (75.529)
Epoch: [48][8890/14090]	Time 0.762 (0.764)	Data 0.001 (0.001)	Loss 2.2337 (2.1833)	Prec@1 38.281 (44.921)	Prec@5 76.562 (75.531)
Epoch: [48][8900/14090]	Time 0.760 (0.764)	Data 0.001 (0.001)	Loss 1.8187 (2.1832)	Prec@1 53.125 (44.923)	Prec@5 80.469 (75.532)
Epoch: [48][8910/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 2.2883 (2.1832)	Prec@1 42.188 (44.922)	Prec@5 73.438 (75.531)
Epoch: [48][8920/14090]	Time 0.748 (0.764)	Data 0.001 (0.001)	Loss 2.1260 (2.1833)	Prec@1 52.344 (44.920)	Prec@5 77.344 (75.529)
Epoch: [48][8930/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 2.6259 (2.1833)	Prec@1 36.719 (44.919)	Prec@5 64.062 (75.529)
Epoch: [48][8940/14090]	Time 0.727 (0.764)	Data 0.001 (0.001)	Loss 2.0499 (2.1833)	Prec@1 44.531 (44.919)	Prec@5 81.250 (75.530)
Epoch: [48][8950/14090]	Time 0.885 (0.764)	Data 0.001 (0.001)	Loss 2.0065 (2.1832)	Prec@1 56.250 (44.922)	Prec@5 80.469 (75.531)
Epoch: [48][8960/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 2.1408 (2.1832)	Prec@1 44.531 (44.924)	Prec@5 78.125 (75.532)
Epoch: [48][8970/14090]	Time 0.740 (0.764)	Data 0.001 (0.001)	Loss 2.4081 (2.1833)	Prec@1 39.844 (44.922)	Prec@5 69.531 (75.530)
Epoch: [48][8980/14090]	Time 0.726 (0.764)	Data 0.001 (0.001)	Loss 2.2973 (2.1833)	Prec@1 43.750 (44.924)	Prec@5 76.562 (75.531)
Epoch: [48][8990/14090]	Time 0.748 (0.764)	Data 0.001 (0.001)	Loss 2.3657 (2.1834)	Prec@1 41.406 (44.925)	Prec@5 72.656 (75.530)
Epoch: [48][9000/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 2.1378 (2.1834)	Prec@1 50.781 (44.924)	Prec@5 78.125 (75.529)
Epoch: [48][9010/14090]	Time 0.758 (0.764)	Data 0.001 (0.001)	Loss 2.3907 (2.1835)	Prec@1 40.625 (44.921)	Prec@5 68.750 (75.525)
Epoch: [48][9020/14090]	Time 0.858 (0.764)	Data 0.001 (0.001)	Loss 1.8293 (2.1835)	Prec@1 51.562 (44.922)	Prec@5 82.031 (75.526)
Epoch: [48][9030/14090]	Time 0.723 (0.764)	Data 0.001 (0.001)	Loss 2.3459 (2.1835)	Prec@1 38.281 (44.923)	Prec@5 72.656 (75.525)
Epoch: [48][9040/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 2.0248 (2.1835)	Prec@1 52.344 (44.925)	Prec@5 78.906 (75.527)
Epoch: [48][9050/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 2.2591 (2.1834)	Prec@1 45.312 (44.926)	Prec@5 71.094 (75.529)
Epoch: [48][9060/14090]	Time 0.758 (0.764)	Data 0.001 (0.001)	Loss 2.1444 (2.1834)	Prec@1 42.188 (44.925)	Prec@5 69.531 (75.529)
Epoch: [48][9070/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 2.2365 (2.1834)	Prec@1 46.875 (44.924)	Prec@5 74.219 (75.530)
Epoch: [48][9080/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 2.2296 (2.1834)	Prec@1 42.188 (44.924)	Prec@5 75.781 (75.530)
Epoch: [48][9090/14090]	Time 0.849 (0.764)	Data 0.001 (0.001)	Loss 2.1143 (2.1834)	Prec@1 52.344 (44.925)	Prec@5 77.344 (75.530)
Epoch: [48][9100/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 2.2715 (2.1835)	Prec@1 45.312 (44.924)	Prec@5 74.219 (75.527)
Epoch: [48][9110/14090]	Time 0.730 (0.764)	Data 0.001 (0.001)	Loss 2.0791 (2.1834)	Prec@1 46.875 (44.927)	Prec@5 75.000 (75.529)
Epoch: [48][9120/14090]	Time 0.765 (0.764)	Data 0.001 (0.001)	Loss 2.2783 (2.1834)	Prec@1 42.969 (44.927)	Prec@5 75.781 (75.528)
Epoch: [48][9130/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 2.1848 (2.1835)	Prec@1 44.531 (44.925)	Prec@5 74.219 (75.528)
Epoch: [48][9140/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 2.1740 (2.1836)	Prec@1 46.094 (44.924)	Prec@5 74.219 (75.527)
Epoch: [48][9150/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 2.0884 (2.1836)	Prec@1 48.438 (44.923)	Prec@5 77.344 (75.526)
Epoch: [48][9160/14090]	Time 0.864 (0.764)	Data 0.001 (0.001)	Loss 2.2465 (2.1836)	Prec@1 42.969 (44.920)	Prec@5 73.438 (75.526)
Epoch: [48][9170/14090]	Time 0.730 (0.764)	Data 0.001 (0.001)	Loss 2.1141 (2.1836)	Prec@1 46.875 (44.920)	Prec@5 75.000 (75.525)
Epoch: [48][9180/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.2391 (2.1836)	Prec@1 43.750 (44.921)	Prec@5 75.000 (75.526)
Epoch: [48][9190/14090]	Time 0.793 (0.764)	Data 0.001 (0.001)	Loss 1.9755 (2.1836)	Prec@1 49.219 (44.921)	Prec@5 81.250 (75.528)
Epoch: [48][9200/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 2.2512 (2.1836)	Prec@1 39.844 (44.919)	Prec@5 80.469 (75.528)
Epoch: [48][9210/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 2.1009 (2.1836)	Prec@1 42.969 (44.918)	Prec@5 79.688 (75.527)
Epoch: [48][9220/14090]	Time 0.761 (0.764)	Data 0.001 (0.001)	Loss 2.3680 (2.1837)	Prec@1 39.062 (44.917)	Prec@5 71.094 (75.525)
Epoch: [48][9230/14090]	Time 0.925 (0.764)	Data 0.001 (0.001)	Loss 2.0460 (2.1838)	Prec@1 49.219 (44.916)	Prec@5 78.125 (75.524)
Epoch: [48][9240/14090]	Time 0.774 (0.764)	Data 0.002 (0.001)	Loss 2.1007 (2.1838)	Prec@1 45.312 (44.916)	Prec@5 77.344 (75.524)
Epoch: [48][9250/14090]	Time 0.728 (0.764)	Data 0.001 (0.001)	Loss 2.1293 (2.1837)	Prec@1 42.969 (44.916)	Prec@5 80.469 (75.525)
Epoch: [48][9260/14090]	Time 0.730 (0.764)	Data 0.001 (0.001)	Loss 1.9007 (2.1836)	Prec@1 51.562 (44.918)	Prec@5 81.250 (75.527)
Epoch: [48][9270/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 1.9983 (2.1835)	Prec@1 51.562 (44.920)	Prec@5 79.688 (75.530)
Epoch: [48][9280/14090]	Time 0.726 (0.764)	Data 0.001 (0.001)	Loss 2.5116 (2.1836)	Prec@1 40.625 (44.918)	Prec@5 71.094 (75.529)
Epoch: [48][9290/14090]	Time 0.746 (0.764)	Data 0.001 (0.001)	Loss 2.1754 (2.1836)	Prec@1 50.000 (44.919)	Prec@5 80.469 (75.530)
Epoch: [48][9300/14090]	Time 0.865 (0.764)	Data 0.001 (0.001)	Loss 2.1739 (2.1837)	Prec@1 51.562 (44.919)	Prec@5 73.438 (75.531)
Epoch: [48][9310/14090]	Time 0.758 (0.764)	Data 0.001 (0.001)	Loss 1.8078 (2.1836)	Prec@1 52.344 (44.919)	Prec@5 81.250 (75.533)
Epoch: [48][9320/14090]	Time 0.762 (0.764)	Data 0.001 (0.001)	Loss 2.4173 (2.1837)	Prec@1 39.844 (44.919)	Prec@5 67.188 (75.532)
Epoch: [48][9330/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 2.2406 (2.1837)	Prec@1 45.312 (44.920)	Prec@5 71.875 (75.531)
Epoch: [48][9340/14090]	Time 0.740 (0.764)	Data 0.001 (0.001)	Loss 2.1824 (2.1837)	Prec@1 44.531 (44.919)	Prec@5 75.000 (75.530)
Epoch: [48][9350/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 2.2285 (2.1836)	Prec@1 45.312 (44.921)	Prec@5 74.219 (75.530)
Epoch: [48][9360/14090]	Time 0.779 (0.764)	Data 0.001 (0.001)	Loss 2.1580 (2.1836)	Prec@1 50.000 (44.921)	Prec@5 74.219 (75.531)
Epoch: [48][9370/14090]	Time 0.842 (0.764)	Data 0.001 (0.001)	Loss 2.3135 (2.1836)	Prec@1 40.625 (44.919)	Prec@5 73.438 (75.531)
Epoch: [48][9380/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 2.3146 (2.1837)	Prec@1 36.719 (44.920)	Prec@5 67.969 (75.528)
Epoch: [48][9390/14090]	Time 0.733 (0.764)	Data 0.001 (0.001)	Loss 2.0077 (2.1837)	Prec@1 50.781 (44.920)	Prec@5 82.031 (75.528)
Epoch: [48][9400/14090]	Time 0.730 (0.764)	Data 0.001 (0.001)	Loss 2.3631 (2.1838)	Prec@1 46.875 (44.918)	Prec@5 71.094 (75.526)
Epoch: [48][9410/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 2.1900 (2.1837)	Prec@1 46.094 (44.920)	Prec@5 71.875 (75.526)
Epoch: [48][9420/14090]	Time 0.734 (0.764)	Data 0.001 (0.001)	Loss 2.1555 (2.1838)	Prec@1 43.750 (44.919)	Prec@5 75.781 (75.522)
Epoch: [48][9430/14090]	Time 0.724 (0.764)	Data 0.002 (0.001)	Loss 2.0277 (2.1839)	Prec@1 42.969 (44.918)	Prec@5 82.812 (75.520)
Epoch: [48][9440/14090]	Time 0.854 (0.764)	Data 0.001 (0.001)	Loss 2.2891 (2.1840)	Prec@1 42.969 (44.914)	Prec@5 77.344 (75.519)
Epoch: [48][9450/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.3554 (2.1841)	Prec@1 38.281 (44.914)	Prec@5 69.531 (75.517)
Epoch: [48][9460/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 2.0998 (2.1840)	Prec@1 45.312 (44.915)	Prec@5 78.906 (75.518)
Epoch: [48][9470/14090]	Time 0.736 (0.764)	Data 0.001 (0.001)	Loss 2.1274 (2.1841)	Prec@1 46.094 (44.913)	Prec@5 76.562 (75.516)
Epoch: [48][9480/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 2.1759 (2.1840)	Prec@1 46.875 (44.914)	Prec@5 75.781 (75.519)
Epoch: [48][9490/14090]	Time 0.728 (0.764)	Data 0.001 (0.001)	Loss 2.1411 (2.1839)	Prec@1 47.656 (44.915)	Prec@5 74.219 (75.520)
Epoch: [48][9500/14090]	Time 0.740 (0.764)	Data 0.001 (0.001)	Loss 2.1408 (2.1839)	Prec@1 42.969 (44.914)	Prec@5 78.906 (75.520)
Epoch: [48][9510/14090]	Time 0.920 (0.764)	Data 0.001 (0.001)	Loss 2.2042 (2.1840)	Prec@1 44.531 (44.913)	Prec@5 75.000 (75.519)
Epoch: [48][9520/14090]	Time 0.732 (0.764)	Data 0.001 (0.001)	Loss 2.2227 (2.1840)	Prec@1 45.312 (44.912)	Prec@5 72.656 (75.518)
Epoch: [48][9530/14090]	Time 0.748 (0.764)	Data 0.001 (0.001)	Loss 2.2827 (2.1840)	Prec@1 41.406 (44.910)	Prec@5 68.750 (75.517)
Epoch: [48][9540/14090]	Time 0.733 (0.764)	Data 0.001 (0.001)	Loss 1.7793 (2.1839)	Prec@1 60.938 (44.913)	Prec@5 84.375 (75.519)
Epoch: [48][9550/14090]	Time 0.735 (0.764)	Data 0.001 (0.001)	Loss 2.1245 (2.1839)	Prec@1 46.094 (44.915)	Prec@5 75.000 (75.518)
Epoch: [48][9560/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 2.1512 (2.1840)	Prec@1 46.094 (44.914)	Prec@5 77.344 (75.519)
Epoch: [48][9570/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 2.0999 (2.1839)	Prec@1 53.125 (44.916)	Prec@5 77.344 (75.519)
Epoch: [48][9580/14090]	Time 0.874 (0.764)	Data 0.001 (0.001)	Loss 1.9469 (2.1838)	Prec@1 46.875 (44.920)	Prec@5 78.125 (75.520)
Epoch: [48][9590/14090]	Time 0.767 (0.764)	Data 0.001 (0.001)	Loss 2.2442 (2.1838)	Prec@1 44.531 (44.918)	Prec@5 71.094 (75.520)
Epoch: [48][9600/14090]	Time 0.739 (0.764)	Data 0.001 (0.001)	Loss 2.3734 (2.1838)	Prec@1 39.844 (44.918)	Prec@5 71.875 (75.520)
Epoch: [48][9610/14090]	Time 0.748 (0.764)	Data 0.001 (0.001)	Loss 2.1682 (2.1838)	Prec@1 43.750 (44.918)	Prec@5 78.906 (75.522)
Epoch: [48][9620/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 2.5560 (2.1839)	Prec@1 40.625 (44.918)	Prec@5 65.625 (75.519)
Epoch: [48][9630/14090]	Time 0.733 (0.764)	Data 0.003 (0.001)	Loss 2.0258 (2.1839)	Prec@1 47.656 (44.916)	Prec@5 78.125 (75.518)
Epoch: [48][9640/14090]	Time 0.761 (0.764)	Data 0.001 (0.001)	Loss 2.1957 (2.1839)	Prec@1 45.312 (44.914)	Prec@5 75.781 (75.517)
Epoch: [48][9650/14090]	Time 0.837 (0.764)	Data 0.001 (0.001)	Loss 2.0538 (2.1839)	Prec@1 46.094 (44.915)	Prec@5 76.562 (75.518)
Epoch: [48][9660/14090]	Time 0.724 (0.764)	Data 0.001 (0.001)	Loss 2.0438 (2.1839)	Prec@1 50.781 (44.915)	Prec@5 78.125 (75.518)
Epoch: [48][9670/14090]	Time 0.735 (0.764)	Data 0.001 (0.001)	Loss 2.3514 (2.1839)	Prec@1 47.656 (44.915)	Prec@5 70.312 (75.518)
Epoch: [48][9680/14090]	Time 0.776 (0.764)	Data 0.001 (0.001)	Loss 2.2612 (2.1840)	Prec@1 45.312 (44.915)	Prec@5 75.781 (75.518)
Epoch: [48][9690/14090]	Time 0.744 (0.764)	Data 0.001 (0.001)	Loss 2.3333 (2.1840)	Prec@1 40.625 (44.915)	Prec@5 76.562 (75.518)
Epoch: [48][9700/14090]	Time 0.728 (0.764)	Data 0.001 (0.001)	Loss 2.5467 (2.1840)	Prec@1 36.719 (44.915)	Prec@5 67.969 (75.517)
Epoch: [48][9710/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 2.3066 (2.1840)	Prec@1 42.188 (44.915)	Prec@5 70.312 (75.518)
Epoch: [48][9720/14090]	Time 0.838 (0.764)	Data 0.001 (0.001)	Loss 2.1678 (2.1841)	Prec@1 48.438 (44.914)	Prec@5 75.781 (75.516)
Epoch: [48][9730/14090]	Time 0.744 (0.764)	Data 0.001 (0.001)	Loss 2.2908 (2.1841)	Prec@1 42.969 (44.915)	Prec@5 73.438 (75.515)
Epoch: [48][9740/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 1.9961 (2.1841)	Prec@1 42.188 (44.912)	Prec@5 79.688 (75.515)
Epoch: [48][9750/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 2.1606 (2.1841)	Prec@1 39.844 (44.910)	Prec@5 72.656 (75.515)
Epoch: [48][9760/14090]	Time 0.782 (0.764)	Data 0.001 (0.001)	Loss 2.2163 (2.1841)	Prec@1 44.531 (44.911)	Prec@5 75.781 (75.517)
Epoch: [48][9770/14090]	Time 0.732 (0.764)	Data 0.001 (0.001)	Loss 2.3500 (2.1840)	Prec@1 42.188 (44.912)	Prec@5 74.219 (75.520)
Epoch: [48][9780/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 1.8137 (2.1840)	Prec@1 53.906 (44.912)	Prec@5 83.594 (75.520)
Epoch: [48][9790/14090]	Time 0.944 (0.764)	Data 0.001 (0.001)	Loss 2.2420 (2.1841)	Prec@1 43.750 (44.911)	Prec@5 76.562 (75.518)
Epoch: [48][9800/14090]	Time 0.732 (0.764)	Data 0.001 (0.001)	Loss 2.1306 (2.1841)	Prec@1 46.094 (44.911)	Prec@5 79.688 (75.518)
Epoch: [48][9810/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 2.0741 (2.1841)	Prec@1 52.344 (44.911)	Prec@5 78.906 (75.516)
Epoch: [48][9820/14090]	Time 0.740 (0.764)	Data 0.001 (0.001)	Loss 2.2362 (2.1842)	Prec@1 42.188 (44.909)	Prec@5 78.906 (75.516)
Epoch: [48][9830/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 2.4415 (2.1841)	Prec@1 32.812 (44.909)	Prec@5 74.219 (75.518)
Epoch: [48][9840/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 1.9601 (2.1841)	Prec@1 50.781 (44.909)	Prec@5 78.906 (75.518)
Epoch: [48][9850/14090]	Time 0.764 (0.764)	Data 0.001 (0.001)	Loss 2.6697 (2.1842)	Prec@1 33.594 (44.908)	Prec@5 68.750 (75.517)
Epoch: [48][9860/14090]	Time 0.874 (0.764)	Data 0.001 (0.001)	Loss 2.6470 (2.1843)	Prec@1 41.406 (44.907)	Prec@5 66.406 (75.515)
Epoch: [48][9870/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 2.2372 (2.1843)	Prec@1 39.844 (44.906)	Prec@5 75.000 (75.516)
Epoch: [48][9880/14090]	Time 0.740 (0.764)	Data 0.001 (0.001)	Loss 1.9599 (2.1843)	Prec@1 48.438 (44.906)	Prec@5 81.250 (75.516)
Epoch: [48][9890/14090]	Time 0.743 (0.764)	Data 0.001 (0.001)	Loss 2.1682 (2.1844)	Prec@1 42.969 (44.905)	Prec@5 77.344 (75.515)
Epoch: [48][9900/14090]	Time 0.735 (0.764)	Data 0.001 (0.001)	Loss 2.2826 (2.1844)	Prec@1 41.406 (44.904)	Prec@5 74.219 (75.514)
Epoch: [48][9910/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 2.1731 (2.1844)	Prec@1 39.062 (44.906)	Prec@5 75.000 (75.513)
Epoch: [48][9920/14090]	Time 0.762 (0.764)	Data 0.001 (0.001)	Loss 1.9081 (2.1843)	Prec@1 49.219 (44.906)	Prec@5 82.031 (75.514)
Epoch: [48][9930/14090]	Time 0.851 (0.764)	Data 0.001 (0.001)	Loss 2.3709 (2.1844)	Prec@1 42.188 (44.906)	Prec@5 75.000 (75.514)
Epoch: [48][9940/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 2.0197 (2.1843)	Prec@1 48.438 (44.908)	Prec@5 79.688 (75.516)
Epoch: [48][9950/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 2.1140 (2.1843)	Prec@1 42.188 (44.908)	Prec@5 77.344 (75.517)
Epoch: [48][9960/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 2.1143 (2.1843)	Prec@1 48.438 (44.908)	Prec@5 75.781 (75.517)
Epoch: [48][9970/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 2.1230 (2.1843)	Prec@1 46.875 (44.906)	Prec@5 72.656 (75.516)
Epoch: [48][9980/14090]	Time 0.746 (0.764)	Data 0.001 (0.001)	Loss 2.0066 (2.1842)	Prec@1 46.875 (44.909)	Prec@5 75.000 (75.517)
Epoch: [48][9990/14090]	Time 0.741 (0.764)	Data 0.003 (0.001)	Loss 2.1077 (2.1842)	Prec@1 45.312 (44.909)	Prec@5 77.344 (75.516)
Epoch: [48][10000/14090]	Time 0.896 (0.764)	Data 0.001 (0.001)	Loss 2.1756 (2.1842)	Prec@1 46.875 (44.909)	Prec@5 75.781 (75.516)
Epoch: [48][10010/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 2.2673 (2.1843)	Prec@1 45.312 (44.908)	Prec@5 75.000 (75.515)
Epoch: [48][10020/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 2.0592 (2.1843)	Prec@1 45.312 (44.907)	Prec@5 75.000 (75.515)
Epoch: [48][10030/14090]	Time 0.746 (0.764)	Data 0.001 (0.001)	Loss 2.0134 (2.1843)	Prec@1 50.781 (44.907)	Prec@5 78.125 (75.515)
Epoch: [48][10040/14090]	Time 0.782 (0.764)	Data 0.001 (0.001)	Loss 2.4336 (2.1844)	Prec@1 43.750 (44.906)	Prec@5 75.000 (75.512)
Epoch: [48][10050/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 2.2384 (2.1844)	Prec@1 41.406 (44.907)	Prec@5 76.562 (75.513)
Epoch: [48][10060/14090]	Time 0.759 (0.764)	Data 0.001 (0.001)	Loss 1.9567 (2.1845)	Prec@1 49.219 (44.907)	Prec@5 82.812 (75.512)
Epoch: [48][10070/14090]	Time 0.883 (0.764)	Data 0.001 (0.001)	Loss 2.1494 (2.1845)	Prec@1 44.531 (44.905)	Prec@5 74.219 (75.511)
Epoch: [48][10080/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 2.1954 (2.1846)	Prec@1 43.750 (44.903)	Prec@5 80.469 (75.510)
Epoch: [48][10090/14090]	Time 0.740 (0.764)	Data 0.001 (0.001)	Loss 2.3576 (2.1846)	Prec@1 44.531 (44.902)	Prec@5 75.781 (75.510)
Epoch: [48][10100/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 2.3265 (2.1847)	Prec@1 36.719 (44.900)	Prec@5 75.781 (75.509)
Epoch: [48][10110/14090]	Time 0.721 (0.764)	Data 0.001 (0.001)	Loss 2.1263 (2.1847)	Prec@1 44.531 (44.900)	Prec@5 81.250 (75.509)
Epoch: [48][10120/14090]	Time 0.761 (0.764)	Data 0.001 (0.001)	Loss 2.2137 (2.1847)	Prec@1 43.750 (44.903)	Prec@5 74.219 (75.510)
Epoch: [48][10130/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 2.1291 (2.1846)	Prec@1 41.406 (44.903)	Prec@5 75.000 (75.511)
Epoch: [48][10140/14090]	Time 0.846 (0.764)	Data 0.001 (0.001)	Loss 2.1402 (2.1846)	Prec@1 46.094 (44.904)	Prec@5 75.781 (75.511)
Epoch: [48][10150/14090]	Time 0.748 (0.764)	Data 0.001 (0.001)	Loss 2.0460 (2.1846)	Prec@1 45.312 (44.903)	Prec@5 71.875 (75.510)
Epoch: [48][10160/14090]	Time 0.748 (0.764)	Data 0.001 (0.001)	Loss 2.1366 (2.1846)	Prec@1 46.094 (44.903)	Prec@5 75.781 (75.508)
Epoch: [48][10170/14090]	Time 0.745 (0.764)	Data 0.001 (0.001)	Loss 2.3013 (2.1847)	Prec@1 45.312 (44.902)	Prec@5 68.750 (75.506)
Epoch: [48][10180/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.0901 (2.1848)	Prec@1 45.312 (44.900)	Prec@5 76.562 (75.505)
Epoch: [48][10190/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 2.3101 (2.1848)	Prec@1 40.625 (44.899)	Prec@5 75.781 (75.504)
Epoch: [48][10200/14090]	Time 0.764 (0.764)	Data 0.001 (0.001)	Loss 2.2249 (2.1849)	Prec@1 43.750 (44.899)	Prec@5 75.781 (75.503)
Epoch: [48][10210/14090]	Time 0.865 (0.764)	Data 0.001 (0.001)	Loss 2.3541 (2.1849)	Prec@1 42.969 (44.898)	Prec@5 72.656 (75.503)
Epoch: [48][10220/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 2.2336 (2.1850)	Prec@1 45.312 (44.897)	Prec@5 73.438 (75.503)
Epoch: [48][10230/14090]	Time 0.726 (0.764)	Data 0.001 (0.001)	Loss 2.4002 (2.1849)	Prec@1 35.938 (44.898)	Prec@5 73.438 (75.503)
Epoch: [48][10240/14090]	Time 0.743 (0.764)	Data 0.001 (0.001)	Loss 2.2444 (2.1849)	Prec@1 47.656 (44.899)	Prec@5 75.781 (75.504)
Epoch: [48][10250/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 2.0402 (2.1849)	Prec@1 46.094 (44.899)	Prec@5 77.344 (75.505)
Epoch: [48][10260/14090]	Time 0.725 (0.764)	Data 0.001 (0.001)	Loss 2.2747 (2.1850)	Prec@1 46.875 (44.898)	Prec@5 71.875 (75.503)
Epoch: [48][10270/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 2.1716 (2.1850)	Prec@1 43.750 (44.898)	Prec@5 80.469 (75.503)
Epoch: [48][10280/14090]	Time 0.846 (0.764)	Data 0.001 (0.001)	Loss 2.1965 (2.1850)	Prec@1 47.656 (44.897)	Prec@5 71.094 (75.501)
Epoch: [48][10290/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 1.9910 (2.1850)	Prec@1 50.781 (44.897)	Prec@5 77.344 (75.500)
Epoch: [48][10300/14090]	Time 0.743 (0.764)	Data 0.001 (0.001)	Loss 2.2515 (2.1850)	Prec@1 40.625 (44.894)	Prec@5 71.094 (75.499)
Epoch: [48][10310/14090]	Time 0.745 (0.764)	Data 0.003 (0.001)	Loss 1.9189 (2.1851)	Prec@1 47.656 (44.893)	Prec@5 81.250 (75.499)
Epoch: [48][10320/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 2.3374 (2.1850)	Prec@1 41.406 (44.893)	Prec@5 71.094 (75.499)
Epoch: [48][10330/14090]	Time 0.739 (0.764)	Data 0.001 (0.001)	Loss 2.4148 (2.1851)	Prec@1 41.406 (44.891)	Prec@5 71.094 (75.498)
Epoch: [48][10340/14090]	Time 0.743 (0.764)	Data 0.001 (0.001)	Loss 2.2088 (2.1851)	Prec@1 45.312 (44.890)	Prec@5 75.781 (75.497)
Epoch: [48][10350/14090]	Time 0.887 (0.764)	Data 0.001 (0.001)	Loss 2.2981 (2.1851)	Prec@1 45.312 (44.889)	Prec@5 69.531 (75.495)
Epoch: [48][10360/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 2.3593 (2.1851)	Prec@1 42.969 (44.890)	Prec@5 73.438 (75.495)
Epoch: [48][10370/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 2.5420 (2.1851)	Prec@1 35.156 (44.890)	Prec@5 64.844 (75.494)
Epoch: [48][10380/14090]	Time 0.733 (0.764)	Data 0.001 (0.001)	Loss 2.0865 (2.1851)	Prec@1 50.000 (44.890)	Prec@5 76.562 (75.494)
Epoch: [48][10390/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 1.9593 (2.1851)	Prec@1 50.000 (44.891)	Prec@5 81.250 (75.494)
Epoch: [48][10400/14090]	Time 0.748 (0.764)	Data 0.001 (0.001)	Loss 2.4194 (2.1851)	Prec@1 41.406 (44.893)	Prec@5 68.750 (75.493)
Epoch: [48][10410/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 1.9752 (2.1852)	Prec@1 50.000 (44.891)	Prec@5 77.344 (75.491)
Epoch: [48][10420/14090]	Time 0.922 (0.764)	Data 0.001 (0.001)	Loss 2.4195 (2.1852)	Prec@1 43.750 (44.891)	Prec@5 71.094 (75.490)
Epoch: [48][10430/14090]	Time 0.752 (0.764)	Data 0.003 (0.001)	Loss 2.2058 (2.1852)	Prec@1 48.438 (44.891)	Prec@5 72.656 (75.490)
Epoch: [48][10440/14090]	Time 0.739 (0.764)	Data 0.001 (0.001)	Loss 2.1327 (2.1852)	Prec@1 47.656 (44.891)	Prec@5 74.219 (75.490)
Epoch: [48][10450/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 2.3329 (2.1853)	Prec@1 39.062 (44.889)	Prec@5 74.219 (75.489)
Epoch: [48][10460/14090]	Time 0.743 (0.764)	Data 0.001 (0.001)	Loss 2.1395 (2.1854)	Prec@1 42.969 (44.887)	Prec@5 75.781 (75.488)
Epoch: [48][10470/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 2.1458 (2.1853)	Prec@1 50.781 (44.888)	Prec@5 75.000 (75.489)
Epoch: [48][10480/14090]	Time 0.724 (0.764)	Data 0.001 (0.001)	Loss 2.0917 (2.1853)	Prec@1 50.000 (44.891)	Prec@5 78.906 (75.490)
Epoch: [48][10490/14090]	Time 0.867 (0.764)	Data 0.001 (0.001)	Loss 2.3345 (2.1853)	Prec@1 39.844 (44.889)	Prec@5 67.969 (75.489)
Epoch: [48][10500/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 2.1484 (2.1853)	Prec@1 39.844 (44.889)	Prec@5 76.562 (75.490)
Epoch: [48][10510/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 2.2103 (2.1853)	Prec@1 42.969 (44.889)	Prec@5 75.000 (75.490)
Epoch: [48][10520/14090]	Time 0.766 (0.764)	Data 0.001 (0.001)	Loss 2.2582 (2.1852)	Prec@1 41.406 (44.891)	Prec@5 76.562 (75.492)
Epoch: [48][10530/14090]	Time 0.739 (0.764)	Data 0.001 (0.001)	Loss 2.1476 (2.1852)	Prec@1 44.531 (44.890)	Prec@5 73.438 (75.492)
Epoch: [48][10540/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 2.0474 (2.1852)	Prec@1 51.562 (44.890)	Prec@5 80.469 (75.491)
Epoch: [48][10550/14090]	Time 0.764 (0.764)	Data 0.001 (0.001)	Loss 2.4369 (2.1852)	Prec@1 39.062 (44.889)	Prec@5 71.875 (75.491)
Epoch: [48][10560/14090]	Time 0.821 (0.764)	Data 0.001 (0.001)	Loss 1.9885 (2.1852)	Prec@1 51.562 (44.891)	Prec@5 80.469 (75.493)
Epoch: [48][10570/14090]	Time 0.767 (0.764)	Data 0.001 (0.001)	Loss 1.8259 (2.1851)	Prec@1 54.688 (44.893)	Prec@5 81.250 (75.495)
Epoch: [48][10580/14090]	Time 0.760 (0.764)	Data 0.002 (0.001)	Loss 2.2211 (2.1851)	Prec@1 45.312 (44.892)	Prec@5 75.781 (75.496)
Epoch: [48][10590/14090]	Time 0.748 (0.764)	Data 0.001 (0.001)	Loss 1.9270 (2.1850)	Prec@1 56.250 (44.892)	Prec@5 82.031 (75.497)
Epoch: [48][10600/14090]	Time 0.733 (0.764)	Data 0.001 (0.001)	Loss 2.4256 (2.1851)	Prec@1 39.844 (44.889)	Prec@5 67.188 (75.496)
Epoch: [48][10610/14090]	Time 0.764 (0.764)	Data 0.001 (0.001)	Loss 2.1807 (2.1851)	Prec@1 42.969 (44.889)	Prec@5 75.000 (75.496)
Epoch: [48][10620/14090]	Time 0.729 (0.764)	Data 0.001 (0.001)	Loss 2.2893 (2.1851)	Prec@1 46.094 (44.889)	Prec@5 73.438 (75.495)
Epoch: [48][10630/14090]	Time 0.869 (0.764)	Data 0.001 (0.001)	Loss 2.1109 (2.1851)	Prec@1 44.531 (44.890)	Prec@5 73.438 (75.495)
Epoch: [48][10640/14090]	Time 0.726 (0.764)	Data 0.001 (0.001)	Loss 2.1797 (2.1850)	Prec@1 46.094 (44.892)	Prec@5 72.656 (75.497)
Epoch: [48][10650/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.0691 (2.1850)	Prec@1 53.125 (44.891)	Prec@5 78.906 (75.496)
Epoch: [48][10660/14090]	Time 0.766 (0.764)	Data 0.001 (0.001)	Loss 2.3125 (2.1850)	Prec@1 41.406 (44.893)	Prec@5 75.781 (75.498)
Epoch: [48][10670/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 2.6131 (2.1850)	Prec@1 38.281 (44.892)	Prec@5 69.531 (75.498)
Epoch: [48][10680/14090]	Time 0.722 (0.764)	Data 0.001 (0.001)	Loss 2.2868 (2.1850)	Prec@1 42.969 (44.891)	Prec@5 78.125 (75.498)
Epoch: [48][10690/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 2.1118 (2.1851)	Prec@1 42.188 (44.890)	Prec@5 80.469 (75.498)
Epoch: [48][10700/14090]	Time 0.844 (0.764)	Data 0.001 (0.001)	Loss 2.1568 (2.1851)	Prec@1 42.969 (44.889)	Prec@5 78.125 (75.498)
Epoch: [48][10710/14090]	Time 0.743 (0.764)	Data 0.001 (0.001)	Loss 2.1290 (2.1851)	Prec@1 49.219 (44.890)	Prec@5 75.000 (75.497)
Epoch: [48][10720/14090]	Time 0.766 (0.764)	Data 0.001 (0.001)	Loss 2.2126 (2.1851)	Prec@1 44.531 (44.890)	Prec@5 75.781 (75.497)
Epoch: [48][10730/14090]	Time 0.725 (0.764)	Data 0.001 (0.001)	Loss 1.9238 (2.1851)	Prec@1 50.781 (44.892)	Prec@5 79.688 (75.497)
Epoch: [48][10740/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 2.0668 (2.1851)	Prec@1 47.656 (44.891)	Prec@5 71.875 (75.496)
Epoch: [48][10750/14090]	Time 0.745 (0.764)	Data 0.001 (0.001)	Loss 2.3177 (2.1851)	Prec@1 46.094 (44.891)	Prec@5 67.969 (75.495)
Epoch: [48][10760/14090]	Time 0.764 (0.764)	Data 0.001 (0.001)	Loss 2.2552 (2.1852)	Prec@1 42.969 (44.891)	Prec@5 71.875 (75.494)
Epoch: [48][10770/14090]	Time 0.866 (0.764)	Data 0.001 (0.001)	Loss 2.2092 (2.1852)	Prec@1 40.625 (44.891)	Prec@5 78.125 (75.494)
Epoch: [48][10780/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 2.3393 (2.1852)	Prec@1 44.531 (44.891)	Prec@5 73.438 (75.494)
Epoch: [48][10790/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 2.3499 (2.1852)	Prec@1 42.188 (44.893)	Prec@5 73.438 (75.494)
Epoch: [48][10800/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.4944 (2.1853)	Prec@1 38.281 (44.892)	Prec@5 67.969 (75.492)
Epoch: [48][10810/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 2.0925 (2.1853)	Prec@1 47.656 (44.893)	Prec@5 76.562 (75.492)
Epoch: [48][10820/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 2.2541 (2.1853)	Prec@1 44.531 (44.893)	Prec@5 75.000 (75.492)
Epoch: [48][10830/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 1.8819 (2.1853)	Prec@1 51.562 (44.895)	Prec@5 79.688 (75.493)
Epoch: [48][10840/14090]	Time 0.882 (0.764)	Data 0.001 (0.001)	Loss 2.4874 (2.1852)	Prec@1 37.500 (44.895)	Prec@5 71.094 (75.493)
Epoch: [48][10850/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.0834 (2.1852)	Prec@1 48.438 (44.895)	Prec@5 77.344 (75.493)
Epoch: [48][10860/14090]	Time 0.746 (0.764)	Data 0.001 (0.001)	Loss 2.4885 (2.1852)	Prec@1 41.406 (44.897)	Prec@5 66.406 (75.494)
Epoch: [48][10870/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 2.1330 (2.1851)	Prec@1 47.656 (44.897)	Prec@5 73.438 (75.494)
Epoch: [48][10880/14090]	Time 0.763 (0.764)	Data 0.001 (0.001)	Loss 2.2042 (2.1852)	Prec@1 46.094 (44.896)	Prec@5 73.438 (75.494)
Epoch: [48][10890/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 1.9630 (2.1852)	Prec@1 55.469 (44.896)	Prec@5 82.031 (75.494)
Epoch: [48][10900/14090]	Time 0.726 (0.764)	Data 0.001 (0.001)	Loss 2.1641 (2.1852)	Prec@1 49.219 (44.895)	Prec@5 75.000 (75.493)
Epoch: [48][10910/14090]	Time 0.975 (0.764)	Data 0.001 (0.001)	Loss 2.1543 (2.1852)	Prec@1 46.875 (44.896)	Prec@5 78.125 (75.493)
Epoch: [48][10920/14090]	Time 0.773 (0.764)	Data 0.001 (0.001)	Loss 2.3418 (2.1851)	Prec@1 42.188 (44.896)	Prec@5 72.656 (75.493)
Epoch: [48][10930/14090]	Time 0.758 (0.764)	Data 0.001 (0.001)	Loss 2.5728 (2.1853)	Prec@1 37.500 (44.893)	Prec@5 70.312 (75.493)
Epoch: [48][10940/14090]	Time 0.729 (0.764)	Data 0.001 (0.001)	Loss 2.1318 (2.1853)	Prec@1 46.875 (44.893)	Prec@5 76.562 (75.493)
Epoch: [48][10950/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 2.5980 (2.1853)	Prec@1 36.719 (44.894)	Prec@5 67.188 (75.493)
Epoch: [48][10960/14090]	Time 0.727 (0.764)	Data 0.001 (0.001)	Loss 2.1205 (2.1854)	Prec@1 46.094 (44.893)	Prec@5 79.688 (75.492)
Epoch: [48][10970/14090]	Time 0.728 (0.764)	Data 0.001 (0.001)	Loss 2.1464 (2.1854)	Prec@1 46.875 (44.892)	Prec@5 75.000 (75.492)
Epoch: [48][10980/14090]	Time 0.888 (0.764)	Data 0.001 (0.001)	Loss 2.0302 (2.1854)	Prec@1 47.656 (44.890)	Prec@5 76.562 (75.491)
Epoch: [48][10990/14090]	Time 0.776 (0.764)	Data 0.001 (0.001)	Loss 2.1726 (2.1854)	Prec@1 42.188 (44.889)	Prec@5 78.906 (75.492)
Epoch: [48][11000/14090]	Time 0.762 (0.764)	Data 0.002 (0.001)	Loss 2.3565 (2.1854)	Prec@1 40.625 (44.888)	Prec@5 72.656 (75.492)
Epoch: [48][11010/14090]	Time 0.729 (0.764)	Data 0.001 (0.001)	Loss 1.8380 (2.1854)	Prec@1 52.344 (44.887)	Prec@5 85.156 (75.493)
Epoch: [48][11020/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 2.2694 (2.1854)	Prec@1 46.094 (44.886)	Prec@5 74.219 (75.492)
Epoch: [48][11030/14090]	Time 0.739 (0.764)	Data 0.002 (0.001)	Loss 2.4060 (2.1855)	Prec@1 39.062 (44.886)	Prec@5 75.000 (75.491)
Epoch: [48][11040/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 2.0892 (2.1855)	Prec@1 49.219 (44.886)	Prec@5 81.250 (75.491)
Epoch: [48][11050/14090]	Time 1.001 (0.764)	Data 0.001 (0.001)	Loss 2.1467 (2.1855)	Prec@1 48.438 (44.885)	Prec@5 76.562 (75.490)
Epoch: [48][11060/14090]	Time 0.723 (0.764)	Data 0.001 (0.001)	Loss 2.1736 (2.1855)	Prec@1 48.438 (44.886)	Prec@5 74.219 (75.490)
Epoch: [48][11070/14090]	Time 0.759 (0.764)	Data 0.001 (0.001)	Loss 1.8330 (2.1855)	Prec@1 50.000 (44.886)	Prec@5 82.031 (75.489)
Epoch: [48][11080/14090]	Time 0.764 (0.764)	Data 0.001 (0.001)	Loss 2.1849 (2.1855)	Prec@1 46.094 (44.885)	Prec@5 75.781 (75.489)
Epoch: [48][11090/14090]	Time 0.758 (0.764)	Data 0.001 (0.001)	Loss 2.1548 (2.1854)	Prec@1 47.656 (44.887)	Prec@5 74.219 (75.491)
Epoch: [48][11100/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 2.1947 (2.1854)	Prec@1 41.406 (44.887)	Prec@5 74.219 (75.490)
Epoch: [48][11110/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 2.0759 (2.1854)	Prec@1 45.312 (44.885)	Prec@5 79.688 (75.490)
Epoch: [48][11120/14090]	Time 0.867 (0.764)	Data 0.001 (0.001)	Loss 1.8634 (2.1853)	Prec@1 53.125 (44.887)	Prec@5 82.812 (75.492)
Epoch: [48][11130/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 2.1473 (2.1854)	Prec@1 48.438 (44.885)	Prec@5 75.000 (75.492)
Epoch: [48][11140/14090]	Time 0.740 (0.764)	Data 0.001 (0.001)	Loss 2.0071 (2.1853)	Prec@1 49.219 (44.887)	Prec@5 81.250 (75.493)
Epoch: [48][11150/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 2.2547 (2.1854)	Prec@1 42.969 (44.887)	Prec@5 74.219 (75.492)
Epoch: [48][11160/14090]	Time 0.728 (0.764)	Data 0.001 (0.001)	Loss 2.0456 (2.1854)	Prec@1 49.219 (44.885)	Prec@5 79.688 (75.492)
Epoch: [48][11170/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 2.0699 (2.1855)	Prec@1 44.531 (44.883)	Prec@5 76.562 (75.492)
Epoch: [48][11180/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 2.1783 (2.1855)	Prec@1 43.750 (44.883)	Prec@5 77.344 (75.492)
Epoch: [48][11190/14090]	Time 0.871 (0.764)	Data 0.001 (0.001)	Loss 2.1021 (2.1855)	Prec@1 46.875 (44.883)	Prec@5 79.688 (75.492)
Epoch: [48][11200/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 1.9949 (2.1854)	Prec@1 51.562 (44.887)	Prec@5 80.469 (75.494)
Epoch: [48][11210/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 2.1872 (2.1854)	Prec@1 43.750 (44.887)	Prec@5 75.781 (75.493)
Epoch: [48][11220/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 2.0747 (2.1854)	Prec@1 43.750 (44.887)	Prec@5 78.906 (75.495)
Epoch: [48][11230/14090]	Time 0.783 (0.764)	Data 0.001 (0.001)	Loss 2.4313 (2.1854)	Prec@1 39.062 (44.886)	Prec@5 66.406 (75.493)
Epoch: [48][11240/14090]	Time 0.736 (0.764)	Data 0.003 (0.001)	Loss 2.1063 (2.1854)	Prec@1 50.781 (44.885)	Prec@5 76.562 (75.494)
Epoch: [48][11250/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 2.0511 (2.1854)	Prec@1 46.875 (44.885)	Prec@5 76.562 (75.494)
Epoch: [48][11260/14090]	Time 0.835 (0.764)	Data 0.001 (0.001)	Loss 2.2283 (2.1854)	Prec@1 40.625 (44.884)	Prec@5 77.344 (75.495)
Epoch: [48][11270/14090]	Time 0.743 (0.764)	Data 0.001 (0.001)	Loss 2.2481 (2.1854)	Prec@1 42.969 (44.885)	Prec@5 75.781 (75.495)
Epoch: [48][11280/14090]	Time 0.735 (0.764)	Data 0.001 (0.001)	Loss 2.2648 (2.1855)	Prec@1 39.844 (44.884)	Prec@5 74.219 (75.494)
Epoch: [48][11290/14090]	Time 0.719 (0.764)	Data 0.001 (0.001)	Loss 2.0841 (2.1854)	Prec@1 46.094 (44.884)	Prec@5 75.000 (75.494)
Epoch: [48][11300/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 2.2601 (2.1854)	Prec@1 45.312 (44.885)	Prec@5 73.438 (75.494)
Epoch: [48][11310/14090]	Time 0.735 (0.764)	Data 0.001 (0.001)	Loss 2.6513 (2.1855)	Prec@1 32.031 (44.883)	Prec@5 66.406 (75.495)
Epoch: [48][11320/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 2.2240 (2.1855)	Prec@1 42.188 (44.882)	Prec@5 76.562 (75.495)
Epoch: [48][11330/14090]	Time 0.848 (0.764)	Data 0.001 (0.001)	Loss 2.1981 (2.1855)	Prec@1 47.656 (44.882)	Prec@5 77.344 (75.494)
Epoch: [48][11340/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 2.1742 (2.1855)	Prec@1 45.312 (44.882)	Prec@5 76.562 (75.495)
Epoch: [48][11350/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 2.1726 (2.1855)	Prec@1 43.750 (44.881)	Prec@5 73.438 (75.494)
Epoch: [48][11360/14090]	Time 0.760 (0.764)	Data 0.001 (0.001)	Loss 2.1489 (2.1855)	Prec@1 42.969 (44.882)	Prec@5 75.000 (75.494)
Epoch: [48][11370/14090]	Time 0.759 (0.764)	Data 0.001 (0.001)	Loss 1.9281 (2.1855)	Prec@1 49.219 (44.882)	Prec@5 80.469 (75.496)
Epoch: [48][11380/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 2.0520 (2.1855)	Prec@1 43.750 (44.882)	Prec@5 77.344 (75.497)
Epoch: [48][11390/14090]	Time 0.745 (0.764)	Data 0.001 (0.001)	Loss 2.0328 (2.1855)	Prec@1 46.094 (44.882)	Prec@5 75.000 (75.496)
Epoch: [48][11400/14090]	Time 0.903 (0.764)	Data 0.001 (0.001)	Loss 2.1226 (2.1854)	Prec@1 46.094 (44.881)	Prec@5 73.438 (75.498)
Epoch: [48][11410/14090]	Time 0.745 (0.764)	Data 0.001 (0.001)	Loss 2.0547 (2.1855)	Prec@1 43.750 (44.878)	Prec@5 78.906 (75.496)
Epoch: [48][11420/14090]	Time 0.719 (0.764)	Data 0.001 (0.001)	Loss 2.3055 (2.1856)	Prec@1 39.062 (44.878)	Prec@5 70.312 (75.495)
Epoch: [48][11430/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 2.2433 (2.1856)	Prec@1 42.969 (44.877)	Prec@5 76.562 (75.495)
Epoch: [48][11440/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 1.9529 (2.1857)	Prec@1 45.312 (44.875)	Prec@5 78.125 (75.496)
Epoch: [48][11450/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 2.3293 (2.1857)	Prec@1 37.500 (44.875)	Prec@5 77.344 (75.496)
Epoch: [48][11460/14090]	Time 0.749 (0.764)	Data 0.003 (0.001)	Loss 2.4426 (2.1857)	Prec@1 42.188 (44.875)	Prec@5 69.531 (75.496)
Epoch: [48][11470/14090]	Time 0.903 (0.764)	Data 0.001 (0.001)	Loss 2.3948 (2.1858)	Prec@1 40.625 (44.874)	Prec@5 73.438 (75.495)
Epoch: [48][11480/14090]	Time 0.729 (0.764)	Data 0.001 (0.001)	Loss 2.1731 (2.1857)	Prec@1 45.312 (44.875)	Prec@5 75.000 (75.496)
Epoch: [48][11490/14090]	Time 0.780 (0.764)	Data 0.001 (0.001)	Loss 2.0947 (2.1857)	Prec@1 43.750 (44.875)	Prec@5 78.125 (75.497)
Epoch: [48][11500/14090]	Time 0.743 (0.764)	Data 0.001 (0.001)	Loss 2.3444 (2.1857)	Prec@1 41.406 (44.875)	Prec@5 70.312 (75.498)
Epoch: [48][11510/14090]	Time 0.733 (0.764)	Data 0.001 (0.001)	Loss 2.2562 (2.1856)	Prec@1 41.406 (44.875)	Prec@5 71.875 (75.497)
Epoch: [48][11520/14090]	Time 0.744 (0.764)	Data 0.001 (0.001)	Loss 2.3752 (2.1856)	Prec@1 42.188 (44.877)	Prec@5 69.531 (75.498)
Epoch: [48][11530/14090]	Time 0.761 (0.764)	Data 0.001 (0.001)	Loss 2.3638 (2.1856)	Prec@1 42.969 (44.874)	Prec@5 72.656 (75.498)
Epoch: [48][11540/14090]	Time 0.872 (0.764)	Data 0.001 (0.001)	Loss 1.9725 (2.1856)	Prec@1 50.000 (44.874)	Prec@5 76.562 (75.497)
Epoch: [48][11550/14090]	Time 0.725 (0.764)	Data 0.001 (0.001)	Loss 2.1570 (2.1856)	Prec@1 41.406 (44.873)	Prec@5 79.688 (75.497)
Epoch: [48][11560/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 2.3801 (2.1857)	Prec@1 46.094 (44.872)	Prec@5 74.219 (75.494)
Epoch: [48][11570/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 1.9782 (2.1857)	Prec@1 46.875 (44.872)	Prec@5 78.906 (75.495)
Epoch: [48][11580/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 2.5085 (2.1857)	Prec@1 40.625 (44.872)	Prec@5 70.312 (75.494)
Epoch: [48][11590/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 1.9586 (2.1857)	Prec@1 49.219 (44.872)	Prec@5 78.906 (75.496)
Epoch: [48][11600/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.2105 (2.1857)	Prec@1 48.438 (44.873)	Prec@5 75.000 (75.496)
Epoch: [48][11610/14090]	Time 0.855 (0.764)	Data 0.001 (0.001)	Loss 2.0610 (2.1857)	Prec@1 43.750 (44.873)	Prec@5 82.031 (75.497)
Epoch: [48][11620/14090]	Time 0.772 (0.764)	Data 0.001 (0.001)	Loss 2.2383 (2.1857)	Prec@1 44.531 (44.873)	Prec@5 75.000 (75.497)
Epoch: [48][11630/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 2.3290 (2.1857)	Prec@1 34.375 (44.873)	Prec@5 75.781 (75.494)
Epoch: [48][11640/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 2.1231 (2.1857)	Prec@1 46.094 (44.872)	Prec@5 76.562 (75.496)
Epoch: [48][11650/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 2.4606 (2.1858)	Prec@1 44.531 (44.872)	Prec@5 72.656 (75.495)
Epoch: [48][11660/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 1.8360 (2.1857)	Prec@1 52.344 (44.872)	Prec@5 82.031 (75.496)
Epoch: [48][11670/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 2.2653 (2.1858)	Prec@1 39.844 (44.869)	Prec@5 74.219 (75.494)
Epoch: [48][11680/14090]	Time 0.863 (0.764)	Data 0.001 (0.001)	Loss 2.2035 (2.1858)	Prec@1 47.656 (44.870)	Prec@5 74.219 (75.494)
Epoch: [48][11690/14090]	Time 0.761 (0.764)	Data 0.001 (0.001)	Loss 2.2397 (2.1858)	Prec@1 45.312 (44.868)	Prec@5 78.906 (75.494)
Epoch: [48][11700/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 2.0575 (2.1859)	Prec@1 46.094 (44.869)	Prec@5 77.344 (75.493)
Epoch: [48][11710/14090]	Time 0.743 (0.764)	Data 0.001 (0.001)	Loss 2.1620 (2.1859)	Prec@1 46.875 (44.869)	Prec@5 75.000 (75.492)
Epoch: [48][11720/14090]	Time 0.721 (0.764)	Data 0.001 (0.001)	Loss 1.9943 (2.1859)	Prec@1 47.656 (44.868)	Prec@5 78.125 (75.493)
Epoch: [48][11730/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 1.9803 (2.1859)	Prec@1 46.094 (44.868)	Prec@5 84.375 (75.494)
Epoch: [48][11740/14090]	Time 0.743 (0.764)	Data 0.001 (0.001)	Loss 1.8927 (2.1859)	Prec@1 49.219 (44.870)	Prec@5 79.688 (75.493)
Epoch: [48][11750/14090]	Time 1.028 (0.764)	Data 0.001 (0.001)	Loss 2.4735 (2.1860)	Prec@1 42.188 (44.869)	Prec@5 67.188 (75.492)
Epoch: [48][11760/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.0954 (2.1860)	Prec@1 48.438 (44.872)	Prec@5 78.125 (75.492)
Epoch: [48][11770/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 1.8544 (2.1860)	Prec@1 57.031 (44.873)	Prec@5 77.344 (75.490)
Epoch: [48][11780/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 2.4050 (2.1861)	Prec@1 40.625 (44.871)	Prec@5 74.219 (75.488)
Epoch: [48][11790/14090]	Time 0.762 (0.764)	Data 0.001 (0.001)	Loss 2.4195 (2.1860)	Prec@1 39.062 (44.874)	Prec@5 74.219 (75.488)
Epoch: [48][11800/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 2.3106 (2.1860)	Prec@1 45.312 (44.873)	Prec@5 71.094 (75.488)
Epoch: [48][11810/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 1.9898 (2.1860)	Prec@1 48.438 (44.874)	Prec@5 78.906 (75.488)
Epoch: [48][11820/14090]	Time 0.887 (0.764)	Data 0.001 (0.001)	Loss 2.1769 (2.1860)	Prec@1 43.750 (44.873)	Prec@5 77.344 (75.488)
Epoch: [48][11830/14090]	Time 0.740 (0.764)	Data 0.001 (0.001)	Loss 2.1684 (2.1861)	Prec@1 48.438 (44.873)	Prec@5 76.562 (75.488)
Epoch: [48][11840/14090]	Time 0.746 (0.764)	Data 0.001 (0.001)	Loss 2.0167 (2.1860)	Prec@1 51.562 (44.873)	Prec@5 76.562 (75.491)
Epoch: [48][11850/14090]	Time 0.743 (0.764)	Data 0.001 (0.001)	Loss 2.3919 (2.1860)	Prec@1 39.062 (44.872)	Prec@5 69.531 (75.490)
Epoch: [48][11860/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.0863 (2.1860)	Prec@1 47.656 (44.871)	Prec@5 77.344 (75.490)
Epoch: [48][11870/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 2.0846 (2.1860)	Prec@1 48.438 (44.871)	Prec@5 80.469 (75.491)
Epoch: [48][11880/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 1.9040 (2.1859)	Prec@1 50.000 (44.875)	Prec@5 82.031 (75.493)
Epoch: [48][11890/14090]	Time 0.857 (0.764)	Data 0.001 (0.001)	Loss 2.2628 (2.1858)	Prec@1 41.406 (44.876)	Prec@5 73.438 (75.493)
Epoch: [48][11900/14090]	Time 0.760 (0.764)	Data 0.001 (0.001)	Loss 2.3399 (2.1858)	Prec@1 42.188 (44.875)	Prec@5 68.750 (75.492)
Epoch: [48][11910/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 2.2452 (2.1859)	Prec@1 42.969 (44.875)	Prec@5 75.781 (75.492)
Epoch: [48][11920/14090]	Time 0.758 (0.764)	Data 0.001 (0.001)	Loss 1.9851 (2.1858)	Prec@1 45.312 (44.875)	Prec@5 81.250 (75.492)
Epoch: [48][11930/14090]	Time 0.740 (0.764)	Data 0.001 (0.001)	Loss 2.3376 (2.1859)	Prec@1 39.844 (44.874)	Prec@5 71.094 (75.490)
Epoch: [48][11940/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 2.4654 (2.1859)	Prec@1 35.938 (44.874)	Prec@5 70.312 (75.492)
Epoch: [48][11950/14090]	Time 0.746 (0.764)	Data 0.001 (0.001)	Loss 2.2659 (2.1859)	Prec@1 41.406 (44.873)	Prec@5 72.656 (75.492)
Epoch: [48][11960/14090]	Time 0.835 (0.764)	Data 0.001 (0.001)	Loss 1.9369 (2.1858)	Prec@1 47.656 (44.873)	Prec@5 78.125 (75.493)
Epoch: [48][11970/14090]	Time 0.739 (0.764)	Data 0.001 (0.001)	Loss 2.1192 (2.1859)	Prec@1 41.406 (44.872)	Prec@5 75.781 (75.492)
Epoch: [48][11980/14090]	Time 0.736 (0.764)	Data 0.001 (0.001)	Loss 1.9616 (2.1859)	Prec@1 47.656 (44.872)	Prec@5 78.125 (75.492)
Epoch: [48][11990/14090]	Time 0.767 (0.764)	Data 0.001 (0.001)	Loss 2.4654 (2.1859)	Prec@1 38.281 (44.871)	Prec@5 71.875 (75.492)
Epoch: [48][12000/14090]	Time 0.726 (0.764)	Data 0.001 (0.001)	Loss 2.5221 (2.1859)	Prec@1 40.625 (44.872)	Prec@5 72.656 (75.493)
Epoch: [48][12010/14090]	Time 0.730 (0.764)	Data 0.000 (0.001)	Loss 2.0833 (2.1859)	Prec@1 49.219 (44.872)	Prec@5 75.000 (75.492)
Epoch: [48][12020/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 1.9622 (2.1859)	Prec@1 44.531 (44.871)	Prec@5 81.250 (75.491)
Epoch: [48][12030/14090]	Time 0.880 (0.764)	Data 0.001 (0.001)	Loss 2.3683 (2.1860)	Prec@1 37.500 (44.869)	Prec@5 73.438 (75.490)
Epoch: [48][12040/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 2.3168 (2.1860)	Prec@1 35.938 (44.868)	Prec@5 73.438 (75.490)
Epoch: [48][12050/14090]	Time 0.745 (0.764)	Data 0.001 (0.001)	Loss 2.4057 (2.1860)	Prec@1 36.719 (44.867)	Prec@5 72.656 (75.491)
Epoch: [48][12060/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 1.8041 (2.1860)	Prec@1 51.562 (44.867)	Prec@5 82.031 (75.490)
Epoch: [48][12070/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 2.1654 (2.1860)	Prec@1 49.219 (44.866)	Prec@5 75.781 (75.491)
Epoch: [48][12080/14090]	Time 0.759 (0.764)	Data 0.001 (0.001)	Loss 2.2185 (2.1861)	Prec@1 42.969 (44.864)	Prec@5 75.000 (75.490)
Epoch: [48][12090/14090]	Time 0.727 (0.764)	Data 0.001 (0.001)	Loss 2.1875 (2.1862)	Prec@1 47.656 (44.863)	Prec@5 74.219 (75.489)
Epoch: [48][12100/14090]	Time 0.836 (0.764)	Data 0.001 (0.001)	Loss 2.1355 (2.1862)	Prec@1 50.781 (44.864)	Prec@5 78.125 (75.488)
Epoch: [48][12110/14090]	Time 0.725 (0.764)	Data 0.001 (0.001)	Loss 2.3709 (2.1862)	Prec@1 43.750 (44.864)	Prec@5 71.875 (75.487)
Epoch: [48][12120/14090]	Time 0.739 (0.764)	Data 0.001 (0.001)	Loss 2.2715 (2.1862)	Prec@1 46.094 (44.863)	Prec@5 74.219 (75.486)
Epoch: [48][12130/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 2.0462 (2.1862)	Prec@1 49.219 (44.863)	Prec@5 78.906 (75.487)
Epoch: [48][12140/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 2.4416 (2.1863)	Prec@1 42.969 (44.860)	Prec@5 71.094 (75.485)
Epoch: [48][12150/14090]	Time 0.732 (0.764)	Data 0.001 (0.001)	Loss 2.1529 (2.1863)	Prec@1 44.531 (44.861)	Prec@5 80.469 (75.486)
Epoch: [48][12160/14090]	Time 0.748 (0.764)	Data 0.001 (0.001)	Loss 2.4263 (2.1863)	Prec@1 37.500 (44.860)	Prec@5 68.750 (75.486)
Epoch: [48][12170/14090]	Time 0.894 (0.764)	Data 0.001 (0.001)	Loss 2.4126 (2.1863)	Prec@1 45.312 (44.860)	Prec@5 73.438 (75.487)
Epoch: [48][12180/14090]	Time 0.736 (0.764)	Data 0.001 (0.001)	Loss 2.3432 (2.1863)	Prec@1 40.625 (44.860)	Prec@5 73.438 (75.488)
Epoch: [48][12190/14090]	Time 0.776 (0.764)	Data 0.001 (0.001)	Loss 2.3350 (2.1864)	Prec@1 44.531 (44.859)	Prec@5 75.000 (75.486)
Epoch: [48][12200/14090]	Time 0.733 (0.764)	Data 0.001 (0.001)	Loss 2.1310 (2.1864)	Prec@1 42.969 (44.858)	Prec@5 76.562 (75.486)
Epoch: [48][12210/14090]	Time 0.744 (0.764)	Data 0.001 (0.001)	Loss 2.2762 (2.1864)	Prec@1 44.531 (44.858)	Prec@5 76.562 (75.487)
Epoch: [48][12220/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 2.1223 (2.1865)	Prec@1 45.312 (44.859)	Prec@5 78.125 (75.485)
Epoch: [48][12230/14090]	Time 0.745 (0.764)	Data 0.001 (0.001)	Loss 1.7865 (2.1865)	Prec@1 52.344 (44.860)	Prec@5 84.375 (75.486)
Epoch: [48][12240/14090]	Time 0.835 (0.764)	Data 0.001 (0.001)	Loss 1.7947 (2.1864)	Prec@1 50.781 (44.862)	Prec@5 82.812 (75.487)
Epoch: [48][12250/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 2.0315 (2.1864)	Prec@1 46.094 (44.863)	Prec@5 82.812 (75.489)
Epoch: [48][12260/14090]	Time 0.759 (0.764)	Data 0.001 (0.001)	Loss 2.4867 (2.1864)	Prec@1 41.406 (44.863)	Prec@5 68.750 (75.488)
Epoch: [48][12270/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 2.3923 (2.1864)	Prec@1 47.656 (44.864)	Prec@5 74.219 (75.488)
Epoch: [48][12280/14090]	Time 0.744 (0.764)	Data 0.001 (0.001)	Loss 2.2465 (2.1865)	Prec@1 42.188 (44.863)	Prec@5 76.562 (75.486)
Epoch: [48][12290/14090]	Time 0.775 (0.764)	Data 0.001 (0.001)	Loss 2.0321 (2.1865)	Prec@1 42.969 (44.862)	Prec@5 77.344 (75.487)
Epoch: [48][12300/14090]	Time 0.735 (0.764)	Data 0.001 (0.001)	Loss 2.2775 (2.1865)	Prec@1 40.625 (44.862)	Prec@5 81.250 (75.487)
Epoch: [48][12310/14090]	Time 0.891 (0.764)	Data 0.001 (0.001)	Loss 2.2453 (2.1866)	Prec@1 40.625 (44.861)	Prec@5 72.656 (75.487)
Epoch: [48][12320/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 2.2779 (2.1866)	Prec@1 39.062 (44.862)	Prec@5 76.562 (75.486)
Epoch: [48][12330/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 2.1554 (2.1865)	Prec@1 48.438 (44.862)	Prec@5 75.000 (75.487)
Epoch: [48][12340/14090]	Time 0.744 (0.764)	Data 0.001 (0.001)	Loss 2.1078 (2.1865)	Prec@1 44.531 (44.861)	Prec@5 78.125 (75.488)
Epoch: [48][12350/14090]	Time 0.728 (0.764)	Data 0.001 (0.001)	Loss 2.2183 (2.1865)	Prec@1 43.750 (44.862)	Prec@5 72.656 (75.488)
Epoch: [48][12360/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 2.4231 (2.1866)	Prec@1 39.062 (44.860)	Prec@5 71.875 (75.486)
Epoch: [48][12370/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 2.0030 (2.1866)	Prec@1 43.750 (44.859)	Prec@5 82.812 (75.486)
Epoch: [48][12380/14090]	Time 0.906 (0.764)	Data 0.001 (0.001)	Loss 2.2328 (2.1866)	Prec@1 49.219 (44.859)	Prec@5 71.875 (75.485)
Epoch: [48][12390/14090]	Time 0.730 (0.764)	Data 0.001 (0.001)	Loss 2.1031 (2.1865)	Prec@1 48.438 (44.863)	Prec@5 81.250 (75.489)
Epoch: [48][12400/14090]	Time 0.735 (0.764)	Data 0.001 (0.001)	Loss 1.8968 (2.1865)	Prec@1 48.438 (44.862)	Prec@5 82.031 (75.489)
Epoch: [48][12410/14090]	Time 0.734 (0.764)	Data 0.001 (0.001)	Loss 2.2797 (2.1866)	Prec@1 47.656 (44.862)	Prec@5 74.219 (75.489)
Epoch: [48][12420/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 2.1286 (2.1865)	Prec@1 47.656 (44.863)	Prec@5 76.562 (75.490)
Epoch: [48][12430/14090]	Time 0.732 (0.764)	Data 0.001 (0.001)	Loss 2.4291 (2.1865)	Prec@1 37.500 (44.864)	Prec@5 73.438 (75.489)
Epoch: [48][12440/14090]	Time 0.772 (0.764)	Data 0.001 (0.001)	Loss 2.1948 (2.1866)	Prec@1 49.219 (44.863)	Prec@5 75.781 (75.489)
Epoch: [48][12450/14090]	Time 0.866 (0.764)	Data 0.001 (0.001)	Loss 2.1563 (2.1865)	Prec@1 46.875 (44.864)	Prec@5 75.000 (75.489)
Epoch: [48][12460/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 2.3374 (2.1865)	Prec@1 42.188 (44.865)	Prec@5 71.875 (75.489)
Epoch: [48][12470/14090]	Time 0.745 (0.764)	Data 0.001 (0.001)	Loss 1.9020 (2.1865)	Prec@1 48.438 (44.865)	Prec@5 79.688 (75.488)
Epoch: [48][12480/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 2.3789 (2.1865)	Prec@1 40.625 (44.866)	Prec@5 69.531 (75.489)
Epoch: [48][12490/14090]	Time 0.744 (0.764)	Data 0.001 (0.001)	Loss 2.2918 (2.1865)	Prec@1 46.094 (44.866)	Prec@5 75.781 (75.490)
Epoch: [48][12500/14090]	Time 0.720 (0.764)	Data 0.001 (0.001)	Loss 2.2443 (2.1865)	Prec@1 39.844 (44.865)	Prec@5 84.375 (75.491)
Epoch: [48][12510/14090]	Time 0.769 (0.764)	Data 0.001 (0.001)	Loss 2.2378 (2.1865)	Prec@1 48.438 (44.864)	Prec@5 77.344 (75.490)
Epoch: [48][12520/14090]	Time 0.843 (0.764)	Data 0.001 (0.001)	Loss 2.3416 (2.1866)	Prec@1 45.312 (44.864)	Prec@5 72.656 (75.490)
Epoch: [48][12530/14090]	Time 0.767 (0.764)	Data 0.001 (0.001)	Loss 2.3245 (2.1865)	Prec@1 42.969 (44.864)	Prec@5 76.562 (75.491)
Epoch: [48][12540/14090]	Time 0.760 (0.764)	Data 0.001 (0.001)	Loss 2.3853 (2.1865)	Prec@1 42.188 (44.864)	Prec@5 67.969 (75.491)
Epoch: [48][12550/14090]	Time 0.745 (0.764)	Data 0.001 (0.001)	Loss 2.0382 (2.1865)	Prec@1 48.438 (44.865)	Prec@5 78.125 (75.492)
Epoch: [48][12560/14090]	Time 0.733 (0.764)	Data 0.001 (0.001)	Loss 2.0579 (2.1865)	Prec@1 46.094 (44.866)	Prec@5 76.562 (75.493)
Epoch: [48][12570/14090]	Time 0.729 (0.764)	Data 0.001 (0.001)	Loss 2.1310 (2.1865)	Prec@1 42.188 (44.866)	Prec@5 76.562 (75.492)
Epoch: [48][12580/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 2.0600 (2.1865)	Prec@1 48.438 (44.864)	Prec@5 76.562 (75.491)
Epoch: [48][12590/14090]	Time 0.880 (0.764)	Data 0.001 (0.001)	Loss 2.3413 (2.1865)	Prec@1 42.188 (44.865)	Prec@5 78.906 (75.493)
Epoch: [48][12600/14090]	Time 0.736 (0.764)	Data 0.001 (0.001)	Loss 2.1436 (2.1865)	Prec@1 44.531 (44.865)	Prec@5 77.344 (75.493)
Epoch: [48][12610/14090]	Time 0.736 (0.764)	Data 0.001 (0.001)	Loss 2.3010 (2.1865)	Prec@1 46.875 (44.865)	Prec@5 75.000 (75.495)
Epoch: [48][12620/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 2.1436 (2.1864)	Prec@1 43.750 (44.865)	Prec@5 76.562 (75.495)
Epoch: [48][12630/14090]	Time 0.733 (0.764)	Data 0.001 (0.001)	Loss 2.2666 (2.1865)	Prec@1 42.969 (44.864)	Prec@5 71.094 (75.493)
Epoch: [48][12640/14090]	Time 0.759 (0.764)	Data 0.001 (0.001)	Loss 2.1535 (2.1866)	Prec@1 43.750 (44.863)	Prec@5 76.562 (75.491)
Epoch: [48][12650/14090]	Time 0.761 (0.764)	Data 0.001 (0.001)	Loss 2.2351 (2.1865)	Prec@1 42.188 (44.862)	Prec@5 70.312 (75.491)
Epoch: [48][12660/14090]	Time 0.849 (0.764)	Data 0.001 (0.001)	Loss 2.4240 (2.1865)	Prec@1 39.844 (44.862)	Prec@5 71.875 (75.491)
Epoch: [48][12670/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 2.1773 (2.1866)	Prec@1 47.656 (44.861)	Prec@5 76.562 (75.490)
Epoch: [48][12680/14090]	Time 0.773 (0.764)	Data 0.001 (0.001)	Loss 2.2766 (2.1866)	Prec@1 45.312 (44.861)	Prec@5 72.656 (75.489)
Epoch: [48][12690/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 1.9825 (2.1866)	Prec@1 50.781 (44.861)	Prec@5 80.469 (75.489)
Epoch: [48][12700/14090]	Time 0.763 (0.764)	Data 0.001 (0.001)	Loss 2.0626 (2.1867)	Prec@1 46.875 (44.861)	Prec@5 75.781 (75.487)
Epoch: [48][12710/14090]	Time 0.758 (0.764)	Data 0.001 (0.001)	Loss 2.1283 (2.1867)	Prec@1 50.781 (44.861)	Prec@5 75.781 (75.487)
Epoch: [48][12720/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 2.4126 (2.1867)	Prec@1 39.844 (44.863)	Prec@5 74.219 (75.487)
Epoch: [48][12730/14090]	Time 0.908 (0.764)	Data 0.001 (0.001)	Loss 2.1268 (2.1866)	Prec@1 43.750 (44.864)	Prec@5 78.125 (75.488)
Epoch: [48][12740/14090]	Time 0.739 (0.764)	Data 0.001 (0.001)	Loss 1.7653 (2.1866)	Prec@1 53.906 (44.865)	Prec@5 82.812 (75.489)
Epoch: [48][12750/14090]	Time 0.739 (0.764)	Data 0.001 (0.001)	Loss 2.2476 (2.1866)	Prec@1 51.562 (44.865)	Prec@5 74.219 (75.489)
Epoch: [48][12760/14090]	Time 0.730 (0.764)	Data 0.001 (0.001)	Loss 2.2251 (2.1865)	Prec@1 46.875 (44.866)	Prec@5 73.438 (75.490)
Epoch: [48][12770/14090]	Time 0.746 (0.764)	Data 0.001 (0.001)	Loss 2.4468 (2.1866)	Prec@1 39.844 (44.865)	Prec@5 69.531 (75.489)
Epoch: [48][12780/14090]	Time 0.730 (0.764)	Data 0.001 (0.001)	Loss 2.3634 (2.1865)	Prec@1 40.625 (44.866)	Prec@5 71.875 (75.489)
Epoch: [48][12790/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 2.1731 (2.1866)	Prec@1 48.438 (44.866)	Prec@5 75.000 (75.489)
Epoch: [48][12800/14090]	Time 0.842 (0.764)	Data 0.001 (0.001)	Loss 2.0066 (2.1865)	Prec@1 50.000 (44.867)	Prec@5 80.469 (75.491)
Epoch: [48][12810/14090]	Time 0.734 (0.764)	Data 0.001 (0.001)	Loss 2.2247 (2.1866)	Prec@1 39.062 (44.868)	Prec@5 71.875 (75.490)
Epoch: [48][12820/14090]	Time 0.743 (0.764)	Data 0.001 (0.001)	Loss 2.4033 (2.1866)	Prec@1 43.750 (44.869)	Prec@5 73.438 (75.490)
Epoch: [48][12830/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 2.5073 (2.1867)	Prec@1 41.406 (44.867)	Prec@5 68.750 (75.489)
Epoch: [48][12840/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 2.2203 (2.1867)	Prec@1 46.094 (44.867)	Prec@5 70.312 (75.489)
Epoch: [48][12850/14090]	Time 0.758 (0.764)	Data 0.001 (0.001)	Loss 2.2449 (2.1867)	Prec@1 46.875 (44.866)	Prec@5 77.344 (75.489)
Epoch: [48][12860/14090]	Time 0.721 (0.764)	Data 0.001 (0.001)	Loss 2.1762 (2.1868)	Prec@1 43.750 (44.864)	Prec@5 70.312 (75.488)
Epoch: [48][12870/14090]	Time 0.893 (0.764)	Data 0.001 (0.001)	Loss 2.2653 (2.1867)	Prec@1 44.531 (44.864)	Prec@5 72.656 (75.489)
Epoch: [48][12880/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 2.2517 (2.1867)	Prec@1 42.188 (44.865)	Prec@5 77.344 (75.489)
Epoch: [48][12890/14090]	Time 0.748 (0.764)	Data 0.001 (0.001)	Loss 2.1194 (2.1867)	Prec@1 43.750 (44.866)	Prec@5 75.781 (75.490)
Epoch: [48][12900/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 2.1168 (2.1867)	Prec@1 43.750 (44.864)	Prec@5 75.000 (75.489)
Epoch: [48][12910/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 1.9833 (2.1867)	Prec@1 51.562 (44.864)	Prec@5 81.250 (75.490)
Epoch: [48][12920/14090]	Time 0.726 (0.764)	Data 0.001 (0.001)	Loss 2.4687 (2.1867)	Prec@1 35.156 (44.865)	Prec@5 69.531 (75.492)
Epoch: [48][12930/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 2.0067 (2.1868)	Prec@1 49.219 (44.864)	Prec@5 76.562 (75.489)
Epoch: [48][12940/14090]	Time 0.851 (0.764)	Data 0.001 (0.001)	Loss 2.3226 (2.1869)	Prec@1 42.188 (44.864)	Prec@5 73.438 (75.488)
Epoch: [48][12950/14090]	Time 0.771 (0.764)	Data 0.001 (0.001)	Loss 1.8969 (2.1869)	Prec@1 54.688 (44.864)	Prec@5 85.156 (75.488)
Epoch: [48][12960/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 2.2339 (2.1869)	Prec@1 42.969 (44.863)	Prec@5 75.000 (75.488)
Epoch: [48][12970/14090]	Time 0.739 (0.764)	Data 0.001 (0.001)	Loss 1.9131 (2.1869)	Prec@1 51.562 (44.865)	Prec@5 78.125 (75.489)
Epoch: [48][12980/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 2.0339 (2.1869)	Prec@1 42.188 (44.866)	Prec@5 78.125 (75.488)
Epoch: [48][12990/14090]	Time 0.726 (0.764)	Data 0.001 (0.001)	Loss 2.0865 (2.1869)	Prec@1 44.531 (44.864)	Prec@5 79.688 (75.488)
Epoch: [48][13000/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 2.5123 (2.1869)	Prec@1 42.188 (44.862)	Prec@5 67.969 (75.488)
Epoch: [48][13010/14090]	Time 0.841 (0.764)	Data 0.001 (0.001)	Loss 2.2017 (2.1869)	Prec@1 42.969 (44.862)	Prec@5 78.125 (75.487)
Epoch: [48][13020/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 2.2426 (2.1869)	Prec@1 46.875 (44.863)	Prec@5 71.094 (75.487)
Epoch: [48][13030/14090]	Time 0.743 (0.764)	Data 0.001 (0.001)	Loss 2.2830 (2.1869)	Prec@1 37.500 (44.862)	Prec@5 71.094 (75.488)
Epoch: [48][13040/14090]	Time 0.740 (0.764)	Data 0.001 (0.001)	Loss 2.1517 (2.1869)	Prec@1 43.750 (44.861)	Prec@5 79.688 (75.488)
Epoch: [48][13050/14090]	Time 0.736 (0.764)	Data 0.001 (0.001)	Loss 1.9654 (2.1869)	Prec@1 49.219 (44.860)	Prec@5 79.688 (75.488)
Epoch: [48][13060/14090]	Time 0.721 (0.764)	Data 0.001 (0.001)	Loss 2.0716 (2.1869)	Prec@1 49.219 (44.860)	Prec@5 74.219 (75.489)
Epoch: [48][13070/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 2.3635 (2.1869)	Prec@1 38.281 (44.860)	Prec@5 73.438 (75.488)
Epoch: [48][13080/14090]	Time 0.897 (0.764)	Data 0.001 (0.001)	Loss 2.2721 (2.1869)	Prec@1 38.281 (44.859)	Prec@5 71.875 (75.487)
Epoch: [48][13090/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.2260 (2.1870)	Prec@1 38.281 (44.857)	Prec@5 74.219 (75.486)
Epoch: [48][13100/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.2863 (2.1870)	Prec@1 42.188 (44.856)	Prec@5 74.219 (75.488)
Epoch: [48][13110/14090]	Time 0.727 (0.764)	Data 0.001 (0.001)	Loss 2.2635 (2.1870)	Prec@1 42.188 (44.855)	Prec@5 75.781 (75.487)
Epoch: [48][13120/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 2.1573 (2.1870)	Prec@1 44.531 (44.854)	Prec@5 76.562 (75.486)
Epoch: [48][13130/14090]	Time 0.729 (0.764)	Data 0.001 (0.001)	Loss 2.3919 (2.1871)	Prec@1 38.281 (44.853)	Prec@5 73.438 (75.485)
Epoch: [48][13140/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 1.8750 (2.1871)	Prec@1 48.438 (44.854)	Prec@5 79.688 (75.485)
Epoch: [48][13150/14090]	Time 0.867 (0.764)	Data 0.001 (0.001)	Loss 2.3022 (2.1871)	Prec@1 42.188 (44.854)	Prec@5 74.219 (75.484)
Epoch: [48][13160/14090]	Time 0.758 (0.764)	Data 0.001 (0.001)	Loss 2.2115 (2.1872)	Prec@1 45.312 (44.852)	Prec@5 74.219 (75.482)
Epoch: [48][13170/14090]	Time 0.762 (0.764)	Data 0.001 (0.001)	Loss 2.1433 (2.1872)	Prec@1 47.656 (44.852)	Prec@5 78.906 (75.482)
Epoch: [48][13180/14090]	Time 0.748 (0.764)	Data 0.001 (0.001)	Loss 2.1641 (2.1872)	Prec@1 43.750 (44.853)	Prec@5 77.344 (75.482)
Epoch: [48][13190/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 2.1131 (2.1872)	Prec@1 41.406 (44.853)	Prec@5 80.469 (75.481)
Epoch: [48][13200/14090]	Time 0.726 (0.764)	Data 0.001 (0.001)	Loss 1.9751 (2.1872)	Prec@1 48.438 (44.852)	Prec@5 81.250 (75.481)
Epoch: [48][13210/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 2.1500 (2.1872)	Prec@1 46.875 (44.852)	Prec@5 71.875 (75.481)
Epoch: [48][13220/14090]	Time 0.857 (0.764)	Data 0.001 (0.001)	Loss 2.2076 (2.1873)	Prec@1 44.531 (44.852)	Prec@5 75.000 (75.481)
Epoch: [48][13230/14090]	Time 0.733 (0.764)	Data 0.001 (0.001)	Loss 2.1895 (2.1872)	Prec@1 48.438 (44.853)	Prec@5 74.219 (75.481)
Epoch: [48][13240/14090]	Time 0.721 (0.764)	Data 0.001 (0.001)	Loss 2.1929 (2.1873)	Prec@1 44.531 (44.852)	Prec@5 78.906 (75.480)
Epoch: [48][13250/14090]	Time 0.746 (0.764)	Data 0.001 (0.001)	Loss 2.0367 (2.1872)	Prec@1 46.875 (44.853)	Prec@5 78.125 (75.479)
Epoch: [48][13260/14090]	Time 0.758 (0.764)	Data 0.001 (0.001)	Loss 2.1976 (2.1873)	Prec@1 45.312 (44.852)	Prec@5 75.781 (75.478)
Epoch: [48][13270/14090]	Time 0.726 (0.764)	Data 0.001 (0.001)	Loss 2.1666 (2.1873)	Prec@1 45.312 (44.852)	Prec@5 78.906 (75.478)
Epoch: [48][13280/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 1.8539 (2.1872)	Prec@1 52.344 (44.853)	Prec@5 81.250 (75.480)
Epoch: [48][13290/14090]	Time 0.875 (0.764)	Data 0.001 (0.001)	Loss 2.0589 (2.1873)	Prec@1 50.781 (44.851)	Prec@5 78.125 (75.480)
Epoch: [48][13300/14090]	Time 0.733 (0.764)	Data 0.001 (0.001)	Loss 2.2670 (2.1873)	Prec@1 42.969 (44.849)	Prec@5 73.438 (75.478)
Epoch: [48][13310/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 1.9860 (2.1873)	Prec@1 54.688 (44.851)	Prec@5 82.812 (75.479)
Epoch: [48][13320/14090]	Time 0.759 (0.764)	Data 0.001 (0.001)	Loss 2.3273 (2.1873)	Prec@1 44.531 (44.850)	Prec@5 71.094 (75.479)
Epoch: [48][13330/14090]	Time 0.728 (0.764)	Data 0.001 (0.001)	Loss 2.2510 (2.1873)	Prec@1 43.750 (44.851)	Prec@5 73.438 (75.480)
Epoch: [48][13340/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 2.5214 (2.1873)	Prec@1 42.969 (44.850)	Prec@5 68.750 (75.478)
Epoch: [48][13350/14090]	Time 0.775 (0.764)	Data 0.001 (0.001)	Loss 2.4027 (2.1873)	Prec@1 44.531 (44.851)	Prec@5 74.219 (75.478)
Epoch: [48][13360/14090]	Time 0.831 (0.764)	Data 0.001 (0.001)	Loss 2.2868 (2.1873)	Prec@1 41.406 (44.850)	Prec@5 75.781 (75.479)
Epoch: [48][13370/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 2.1037 (2.1873)	Prec@1 47.656 (44.851)	Prec@5 74.219 (75.479)
Epoch: [48][13380/14090]	Time 0.761 (0.764)	Data 0.001 (0.001)	Loss 2.2298 (2.1873)	Prec@1 44.531 (44.850)	Prec@5 75.781 (75.479)
Epoch: [48][13390/14090]	Time 0.726 (0.764)	Data 0.001 (0.001)	Loss 2.2812 (2.1873)	Prec@1 39.062 (44.849)	Prec@5 72.656 (75.481)
Epoch: [48][13400/14090]	Time 0.730 (0.764)	Data 0.001 (0.001)	Loss 2.1557 (2.1873)	Prec@1 39.844 (44.850)	Prec@5 76.562 (75.480)
Epoch: [48][13410/14090]	Time 0.745 (0.764)	Data 0.001 (0.001)	Loss 1.9856 (2.1873)	Prec@1 50.781 (44.849)	Prec@5 75.000 (75.479)
Epoch: [48][13420/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 2.2924 (2.1873)	Prec@1 39.844 (44.849)	Prec@5 74.219 (75.480)
Epoch: [48][13430/14090]	Time 0.908 (0.764)	Data 0.001 (0.001)	Loss 2.0145 (2.1873)	Prec@1 46.875 (44.848)	Prec@5 79.688 (75.479)
Epoch: [48][13440/14090]	Time 0.733 (0.764)	Data 0.001 (0.001)	Loss 2.2613 (2.1873)	Prec@1 46.094 (44.851)	Prec@5 74.219 (75.480)
Epoch: [48][13450/14090]	Time 0.759 (0.764)	Data 0.001 (0.001)	Loss 1.8137 (2.1872)	Prec@1 53.906 (44.852)	Prec@5 84.375 (75.481)
Epoch: [48][13460/14090]	Time 0.734 (0.764)	Data 0.001 (0.001)	Loss 2.0533 (2.1873)	Prec@1 45.312 (44.851)	Prec@5 77.344 (75.480)
Epoch: [48][13470/14090]	Time 0.758 (0.764)	Data 0.001 (0.001)	Loss 2.2677 (2.1873)	Prec@1 44.531 (44.852)	Prec@5 76.562 (75.480)
Epoch: [48][13480/14090]	Time 0.748 (0.764)	Data 0.001 (0.001)	Loss 2.2599 (2.1873)	Prec@1 42.969 (44.852)	Prec@5 75.000 (75.480)
Epoch: [48][13490/14090]	Time 0.727 (0.764)	Data 0.001 (0.001)	Loss 2.0058 (2.1873)	Prec@1 43.750 (44.850)	Prec@5 75.781 (75.480)
Epoch: [48][13500/14090]	Time 0.998 (0.764)	Data 0.001 (0.001)	Loss 2.1738 (2.1873)	Prec@1 39.844 (44.850)	Prec@5 75.000 (75.480)
Epoch: [48][13510/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 2.2741 (2.1873)	Prec@1 39.062 (44.850)	Prec@5 78.906 (75.480)
Epoch: [48][13520/14090]	Time 0.768 (0.764)	Data 0.001 (0.001)	Loss 2.2233 (2.1874)	Prec@1 48.438 (44.850)	Prec@5 71.875 (75.479)
Epoch: [48][13530/14090]	Time 0.726 (0.764)	Data 0.001 (0.001)	Loss 2.1734 (2.1874)	Prec@1 42.969 (44.850)	Prec@5 75.781 (75.479)
Epoch: [48][13540/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 2.2664 (2.1874)	Prec@1 41.406 (44.850)	Prec@5 72.656 (75.479)
Epoch: [48][13550/14090]	Time 0.746 (0.764)	Data 0.001 (0.001)	Loss 2.4204 (2.1875)	Prec@1 46.094 (44.849)	Prec@5 71.094 (75.478)
Epoch: [48][13560/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.0370 (2.1875)	Prec@1 48.438 (44.848)	Prec@5 79.688 (75.477)
Epoch: [48][13570/14090]	Time 0.871 (0.764)	Data 0.001 (0.001)	Loss 2.3301 (2.1876)	Prec@1 43.750 (44.847)	Prec@5 72.656 (75.476)
Epoch: [48][13580/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 2.0762 (2.1876)	Prec@1 47.656 (44.849)	Prec@5 77.344 (75.477)
Epoch: [48][13590/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 2.2343 (2.1876)	Prec@1 42.188 (44.848)	Prec@5 73.438 (75.475)
Epoch: [48][13600/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 1.8669 (2.1876)	Prec@1 50.781 (44.847)	Prec@5 80.469 (75.474)
Epoch: [48][13610/14090]	Time 0.735 (0.764)	Data 0.001 (0.001)	Loss 2.0990 (2.1876)	Prec@1 45.312 (44.847)	Prec@5 75.000 (75.474)
Epoch: [48][13620/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 2.3018 (2.1876)	Prec@1 45.312 (44.849)	Prec@5 75.781 (75.474)
Epoch: [48][13630/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 2.3217 (2.1876)	Prec@1 42.188 (44.849)	Prec@5 71.875 (75.476)
Epoch: [48][13640/14090]	Time 0.924 (0.764)	Data 0.001 (0.001)	Loss 2.5390 (2.1876)	Prec@1 41.406 (44.850)	Prec@5 67.188 (75.476)
Epoch: [48][13650/14090]	Time 0.730 (0.764)	Data 0.001 (0.001)	Loss 2.1945 (2.1875)	Prec@1 41.406 (44.854)	Prec@5 74.219 (75.478)
Epoch: [48][13660/14090]	Time 0.722 (0.764)	Data 0.001 (0.001)	Loss 2.3270 (2.1875)	Prec@1 38.281 (44.853)	Prec@5 71.875 (75.478)
Epoch: [48][13670/14090]	Time 0.740 (0.764)	Data 0.001 (0.001)	Loss 1.9754 (2.1875)	Prec@1 47.656 (44.851)	Prec@5 82.812 (75.479)
Epoch: [48][13680/14090]	Time 0.733 (0.764)	Data 0.001 (0.001)	Loss 2.5395 (2.1876)	Prec@1 40.625 (44.850)	Prec@5 64.062 (75.477)
Epoch: [48][13690/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 2.2067 (2.1875)	Prec@1 45.312 (44.850)	Prec@5 75.000 (75.477)
Epoch: [48][13700/14090]	Time 0.768 (0.764)	Data 0.001 (0.001)	Loss 1.9802 (2.1875)	Prec@1 50.000 (44.851)	Prec@5 82.031 (75.477)
Epoch: [48][13710/14090]	Time 0.917 (0.764)	Data 0.001 (0.001)	Loss 2.1030 (2.1874)	Prec@1 45.312 (44.852)	Prec@5 76.562 (75.479)
Epoch: [48][13720/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 2.7316 (2.1875)	Prec@1 35.938 (44.852)	Prec@5 68.750 (75.478)
Epoch: [48][13730/14090]	Time 0.736 (0.764)	Data 0.001 (0.001)	Loss 2.1624 (2.1876)	Prec@1 47.656 (44.851)	Prec@5 71.875 (75.476)
Epoch: [48][13740/14090]	Time 0.762 (0.764)	Data 0.001 (0.001)	Loss 2.1502 (2.1877)	Prec@1 46.094 (44.849)	Prec@5 73.438 (75.473)
Epoch: [48][13750/14090]	Time 0.727 (0.764)	Data 0.002 (0.001)	Loss 1.8911 (2.1877)	Prec@1 57.031 (44.851)	Prec@5 80.469 (75.472)
Epoch: [48][13760/14090]	Time 0.725 (0.764)	Data 0.001 (0.001)	Loss 2.2819 (2.1878)	Prec@1 42.188 (44.849)	Prec@5 71.094 (75.470)
Epoch: [48][13770/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 2.1349 (2.1878)	Prec@1 42.969 (44.849)	Prec@5 78.125 (75.470)
Epoch: [48][13780/14090]	Time 0.875 (0.764)	Data 0.001 (0.001)	Loss 2.0112 (2.1878)	Prec@1 48.438 (44.848)	Prec@5 79.688 (75.471)
Epoch: [48][13790/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 1.9495 (2.1879)	Prec@1 49.219 (44.847)	Prec@5 80.469 (75.470)
Epoch: [48][13800/14090]	Time 0.760 (0.764)	Data 0.001 (0.001)	Loss 2.4517 (2.1880)	Prec@1 39.844 (44.846)	Prec@5 71.094 (75.469)
Epoch: [48][13810/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.1179 (2.1880)	Prec@1 45.312 (44.844)	Prec@5 80.469 (75.468)
Epoch: [48][13820/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 2.1047 (2.1880)	Prec@1 46.875 (44.845)	Prec@5 76.562 (75.468)
Epoch: [48][13830/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 2.1084 (2.1879)	Prec@1 46.875 (44.846)	Prec@5 77.344 (75.470)
Epoch: [48][13840/14090]	Time 0.758 (0.764)	Data 0.001 (0.001)	Loss 2.4027 (2.1879)	Prec@1 39.062 (44.847)	Prec@5 71.875 (75.471)
Epoch: [48][13850/14090]	Time 0.863 (0.764)	Data 0.001 (0.001)	Loss 2.3362 (2.1879)	Prec@1 42.188 (44.846)	Prec@5 73.438 (75.470)
Epoch: [48][13860/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 2.0505 (2.1879)	Prec@1 44.531 (44.847)	Prec@5 75.781 (75.470)
Epoch: [48][13870/14090]	Time 0.784 (0.764)	Data 0.001 (0.001)	Loss 2.0915 (2.1879)	Prec@1 44.531 (44.847)	Prec@5 79.688 (75.471)
Epoch: [48][13880/14090]	Time 0.733 (0.764)	Data 0.001 (0.001)	Loss 2.3528 (2.1879)	Prec@1 44.531 (44.846)	Prec@5 71.875 (75.471)
Epoch: [48][13890/14090]	Time 0.734 (0.764)	Data 0.001 (0.001)	Loss 2.4938 (2.1880)	Prec@1 39.844 (44.845)	Prec@5 69.531 (75.469)
Epoch: [48][13900/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 2.2641 (2.1880)	Prec@1 36.719 (44.845)	Prec@5 72.656 (75.469)
Epoch: [48][13910/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 2.4516 (2.1880)	Prec@1 42.188 (44.845)	Prec@5 67.188 (75.468)
Epoch: [48][13920/14090]	Time 0.861 (0.764)	Data 0.001 (0.001)	Loss 2.1541 (2.1881)	Prec@1 49.219 (44.844)	Prec@5 75.781 (75.467)
Epoch: [48][13930/14090]	Time 0.745 (0.764)	Data 0.001 (0.001)	Loss 2.2771 (2.1880)	Prec@1 41.406 (44.844)	Prec@5 71.875 (75.468)
Epoch: [48][13940/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 2.5170 (2.1881)	Prec@1 39.062 (44.843)	Prec@5 73.438 (75.467)
Epoch: [48][13950/14090]	Time 0.728 (0.764)	Data 0.001 (0.001)	Loss 2.3525 (2.1882)	Prec@1 39.844 (44.841)	Prec@5 77.344 (75.466)
Epoch: [48][13960/14090]	Time 0.733 (0.764)	Data 0.001 (0.001)	Loss 2.1978 (2.1882)	Prec@1 46.875 (44.843)	Prec@5 73.438 (75.465)
Epoch: [48][13970/14090]	Time 0.748 (0.764)	Data 0.001 (0.001)	Loss 2.1451 (2.1882)	Prec@1 41.406 (44.841)	Prec@5 78.906 (75.466)
Epoch: [48][13980/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 2.0259 (2.1882)	Prec@1 44.531 (44.842)	Prec@5 83.594 (75.466)
Epoch: [48][13990/14090]	Time 0.836 (0.764)	Data 0.001 (0.001)	Loss 2.2799 (2.1882)	Prec@1 46.875 (44.842)	Prec@5 71.875 (75.465)
Epoch: [48][14000/14090]	Time 0.732 (0.764)	Data 0.001 (0.001)	Loss 1.9701 (2.1882)	Prec@1 47.656 (44.843)	Prec@5 79.688 (75.466)
Epoch: [48][14010/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 1.9630 (2.1882)	Prec@1 47.656 (44.843)	Prec@5 82.031 (75.465)
Epoch: [48][14020/14090]	Time 0.729 (0.764)	Data 0.001 (0.001)	Loss 2.0233 (2.1883)	Prec@1 46.094 (44.844)	Prec@5 76.562 (75.464)
Epoch: [48][14030/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 2.1772 (2.1882)	Prec@1 46.094 (44.844)	Prec@5 73.438 (75.464)
Epoch: [48][14040/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 2.0507 (2.1882)	Prec@1 50.000 (44.845)	Prec@5 76.562 (75.464)
Epoch: [48][14050/14090]	Time 0.761 (0.764)	Data 0.001 (0.001)	Loss 2.0942 (2.1882)	Prec@1 46.875 (44.846)	Prec@5 74.219 (75.465)
Epoch: [48][14060/14090]	Time 0.879 (0.764)	Data 0.001 (0.001)	Loss 2.2324 (2.1882)	Prec@1 44.531 (44.845)	Prec@5 73.438 (75.464)
Epoch: [48][14070/14090]	Time 0.732 (0.764)	Data 0.001 (0.001)	Loss 2.1548 (2.1882)	Prec@1 43.750 (44.845)	Prec@5 79.688 (75.465)
Epoch: [48][14080/14090]	Time 0.746 (0.764)	Data 0.000 (0.001)	Loss 2.2560 (2.1882)	Prec@1 42.188 (44.843)	Prec@5 75.781 (75.463)
Test: [0/286]	Time 4.472 (4.472)	Loss 1.3001 (1.3001)	Prec@1 62.500 (62.500)	Prec@5 96.094 (96.094)
Test: [10/286]	Time 0.239 (0.773)	Loss 2.4219 (2.0658)	Prec@1 31.250 (46.236)	Prec@5 79.688 (81.463)
Test: [20/286]	Time 0.226 (0.593)	Loss 1.4661 (1.9045)	Prec@1 60.938 (50.298)	Prec@5 92.188 (83.110)
Test: [30/286]	Time 0.233 (0.520)	Loss 1.8799 (1.8255)	Prec@1 53.125 (52.369)	Prec@5 78.906 (83.241)
Test: [40/286]	Time 1.709 (0.529)	Loss 1.7510 (1.8286)	Prec@1 53.125 (52.439)	Prec@5 85.156 (83.003)
Test: [50/286]	Time 0.300 (0.500)	Loss 0.5900 (1.8266)	Prec@1 88.281 (52.436)	Prec@5 93.750 (82.889)
Test: [60/286]	Time 0.235 (0.481)	Loss 2.6138 (1.8486)	Prec@1 36.719 (51.780)	Prec@5 71.094 (82.095)
Test: [70/286]	Time 0.227 (0.469)	Loss 1.1890 (1.8216)	Prec@1 67.969 (52.344)	Prec@5 91.406 (82.548)
Test: [80/286]	Time 1.427 (0.476)	Loss 2.1398 (1.8584)	Prec@1 44.531 (51.206)	Prec@5 80.469 (82.041)
Test: [90/286]	Time 0.274 (0.468)	Loss 2.2653 (1.8750)	Prec@1 38.281 (50.970)	Prec@5 79.688 (81.834)
Test: [100/286]	Time 0.262 (0.461)	Loss 2.1675 (1.8814)	Prec@1 32.031 (50.379)	Prec@5 84.375 (82.078)
Test: [110/286]	Time 0.241 (0.455)	Loss 2.2180 (1.8968)	Prec@1 43.750 (50.049)	Prec@5 74.219 (81.989)
Test: [120/286]	Time 1.461 (0.461)	Loss 1.9595 (1.8783)	Prec@1 52.344 (50.568)	Prec@5 80.469 (82.186)
Test: [130/286]	Time 0.299 (0.456)	Loss 1.2625 (1.8617)	Prec@1 64.844 (51.109)	Prec@5 93.750 (82.389)
Test: [140/286]	Time 0.316 (0.454)	Loss 2.4275 (1.8633)	Prec@1 45.312 (50.964)	Prec@5 71.094 (82.391)
Test: [150/286]	Time 0.309 (0.450)	Loss 3.1318 (1.8833)	Prec@1 21.094 (50.316)	Prec@5 60.156 (82.109)
Test: [160/286]	Time 0.961 (0.451)	Loss 3.0539 (1.8852)	Prec@1 22.656 (50.325)	Prec@5 58.594 (82.056)
Test: [170/286]	Time 0.825 (0.452)	Loss 1.6321 (1.8785)	Prec@1 54.688 (50.480)	Prec@5 86.719 (82.191)
Test: [180/286]	Time 0.331 (0.449)	Loss 2.1007 (1.8901)	Prec@1 51.562 (50.246)	Prec@5 78.906 (82.057)
Test: [190/286]	Time 0.290 (0.448)	Loss 3.0557 (1.9094)	Prec@1 15.625 (49.738)	Prec@5 68.750 (81.831)
Test: [200/286]	Time 0.613 (0.448)	Loss 1.8301 (1.9018)	Prec@1 63.281 (50.027)	Prec@5 86.719 (81.895)
Test: [210/286]	Time 0.772 (0.448)	Loss 2.1554 (1.9047)	Prec@1 44.531 (49.848)	Prec@5 80.469 (81.872)
Test: [220/286]	Time 0.681 (0.448)	Loss 3.0639 (1.9124)	Prec@1 21.094 (49.809)	Prec@5 58.594 (81.671)
Test: [230/286]	Time 0.333 (0.446)	Loss 1.4105 (1.9092)	Prec@1 62.500 (49.895)	Prec@5 85.938 (81.659)
Test: [240/286]	Time 0.257 (0.445)	Loss 1.8549 (1.9108)	Prec@1 54.688 (49.945)	Prec@5 82.812 (81.620)
Test: [250/286]	Time 0.967 (0.445)	Loss 1.6250 (1.9027)	Prec@1 56.250 (49.960)	Prec@5 88.281 (81.848)
Test: [260/286]	Time 0.791 (0.446)	Loss 1.5428 (1.8901)	Prec@1 60.938 (50.266)	Prec@5 86.719 (82.049)
Test: [270/286]	Time 0.248 (0.444)	Loss 1.1557 (1.8908)	Prec@1 75.000 (50.337)	Prec@5 92.969 (82.106)
Test: [280/286]	Time 0.293 (0.443)	Loss 1.8080 (1.8737)	Prec@1 53.125 (50.926)	Prec@5 85.938 (82.270)
 * Prec@1 51.073 Prec@5 82.277
Epoch: [49][0/14090]	Time 5.905 (5.905)	Data 5.130 (5.130)	Loss 2.4173 (2.4173)	Prec@1 38.281 (38.281)	Prec@5 71.094 (71.094)
Epoch: [49][10/14090]	Time 0.717 (1.217)	Data 0.001 (0.467)	Loss 2.1550 (2.1307)	Prec@1 49.219 (45.881)	Prec@5 72.656 (74.503)
Epoch: [49][20/14090]	Time 0.751 (0.994)	Data 0.001 (0.245)	Loss 1.9855 (2.1662)	Prec@1 50.000 (44.643)	Prec@5 79.688 (75.632)
Epoch: [49][30/14090]	Time 0.857 (0.920)	Data 0.001 (0.166)	Loss 1.9936 (2.1568)	Prec@1 46.875 (44.607)	Prec@5 80.469 (76.109)
Epoch: [49][40/14090]	Time 0.734 (0.881)	Data 0.001 (0.126)	Loss 1.9455 (2.1498)	Prec@1 46.875 (44.950)	Prec@5 82.812 (76.048)
Epoch: [49][50/14090]	Time 0.753 (0.857)	Data 0.001 (0.101)	Loss 2.1155 (2.1605)	Prec@1 47.656 (44.700)	Prec@5 79.688 (75.919)
Epoch: [49][60/14090]	Time 0.747 (0.843)	Data 0.001 (0.085)	Loss 2.3234 (2.1735)	Prec@1 42.969 (44.557)	Prec@5 72.656 (75.589)
Epoch: [49][70/14090]	Time 0.745 (0.831)	Data 0.001 (0.073)	Loss 2.1900 (2.1676)	Prec@1 45.312 (45.081)	Prec@5 75.000 (75.803)
Epoch: [49][80/14090]	Time 0.723 (0.825)	Data 0.001 (0.064)	Loss 2.0930 (2.1653)	Prec@1 46.875 (45.004)	Prec@5 74.219 (75.675)
Epoch: [49][90/14090]	Time 0.757 (0.817)	Data 0.001 (0.057)	Loss 1.9366 (2.1610)	Prec@1 48.438 (45.098)	Prec@5 77.344 (75.798)
Epoch: [49][100/14090]	Time 0.845 (0.813)	Data 0.001 (0.052)	Loss 2.1468 (2.1536)	Prec@1 46.094 (45.119)	Prec@5 75.781 (75.882)
Epoch: [49][110/14090]	Time 0.743 (0.807)	Data 0.001 (0.047)	Loss 2.1035 (2.1545)	Prec@1 45.312 (45.108)	Prec@5 73.438 (75.866)
Epoch: [49][120/14090]	Time 0.763 (0.804)	Data 0.001 (0.043)	Loss 2.2641 (2.1618)	Prec@1 46.094 (44.983)	Prec@5 76.562 (75.755)
Epoch: [49][130/14090]	Time 0.737 (0.802)	Data 0.001 (0.040)	Loss 2.1714 (2.1617)	Prec@1 44.531 (44.901)	Prec@5 75.781 (75.841)
Epoch: [49][140/14090]	Time 0.757 (0.799)	Data 0.001 (0.037)	Loss 2.0888 (2.1586)	Prec@1 46.094 (44.963)	Prec@5 78.125 (75.903)
Epoch: [49][150/14090]	Time 0.734 (0.797)	Data 0.001 (0.035)	Loss 2.3081 (2.1557)	Prec@1 45.312 (45.162)	Prec@5 76.562 (75.936)
Epoch: [49][160/14090]	Time 0.754 (0.794)	Data 0.001 (0.033)	Loss 1.9481 (2.1550)	Prec@1 49.219 (45.172)	Prec@5 75.781 (75.854)
Epoch: [49][170/14090]	Time 0.899 (0.793)	Data 0.001 (0.031)	Loss 2.0049 (2.1535)	Prec@1 43.750 (45.134)	Prec@5 77.344 (75.882)
Epoch: [49][180/14090]	Time 0.753 (0.791)	Data 0.001 (0.029)	Loss 2.0366 (2.1525)	Prec@1 50.781 (45.317)	Prec@5 79.688 (75.906)
Epoch: [49][190/14090]	Time 0.725 (0.789)	Data 0.001 (0.028)	Loss 2.2000 (2.1529)	Prec@1 44.531 (45.370)	Prec@5 71.094 (75.916)
Epoch: [49][200/14090]	Time 0.739 (0.789)	Data 0.001 (0.026)	Loss 1.8390 (2.1472)	Prec@1 49.219 (45.538)	Prec@5 82.031 (76.049)
Epoch: [49][210/14090]	Time 0.775 (0.787)	Data 0.001 (0.025)	Loss 2.2724 (2.1421)	Prec@1 39.062 (45.594)	Prec@5 71.094 (76.148)
Epoch: [49][220/14090]	Time 0.735 (0.787)	Data 0.001 (0.024)	Loss 2.3217 (2.1431)	Prec@1 45.312 (45.662)	Prec@5 71.875 (76.078)
Epoch: [49][230/14090]	Time 0.723 (0.786)	Data 0.001 (0.023)	Loss 2.1802 (2.1425)	Prec@1 43.750 (45.593)	Prec@5 73.438 (76.113)
Epoch: [49][240/14090]	Time 0.903 (0.786)	Data 0.001 (0.022)	Loss 2.1226 (2.1408)	Prec@1 49.219 (45.604)	Prec@5 72.656 (76.154)
Epoch: [49][250/14090]	Time 0.741 (0.785)	Data 0.001 (0.021)	Loss 1.7818 (2.1445)	Prec@1 53.125 (45.537)	Prec@5 81.250 (76.058)
Epoch: [49][260/14090]	Time 0.758 (0.785)	Data 0.001 (0.021)	Loss 2.1120 (2.1469)	Prec@1 48.438 (45.507)	Prec@5 82.031 (76.048)
Epoch: [49][270/14090]	Time 0.754 (0.785)	Data 0.001 (0.020)	Loss 2.4160 (2.1469)	Prec@1 39.844 (45.578)	Prec@5 70.312 (76.052)
Epoch: [49][280/14090]	Time 0.750 (0.784)	Data 0.002 (0.019)	Loss 2.1614 (2.1483)	Prec@1 46.875 (45.591)	Prec@5 72.656 (76.031)
Epoch: [49][290/14090]	Time 0.766 (0.784)	Data 0.001 (0.019)	Loss 2.1665 (2.1491)	Prec@1 48.438 (45.584)	Prec@5 77.344 (76.009)
Epoch: [49][300/14090]	Time 0.753 (0.783)	Data 0.001 (0.018)	Loss 2.0402 (2.1492)	Prec@1 48.438 (45.590)	Prec@5 78.125 (76.012)
Epoch: [49][310/14090]	Time 0.885 (0.783)	Data 0.001 (0.017)	Loss 2.0449 (2.1504)	Prec@1 46.094 (45.564)	Prec@5 77.344 (75.997)
Epoch: [49][320/14090]	Time 0.756 (0.782)	Data 0.001 (0.017)	Loss 1.7459 (2.1485)	Prec@1 55.469 (45.602)	Prec@5 82.031 (76.056)
Epoch: [49][330/14090]	Time 0.750 (0.782)	Data 0.001 (0.016)	Loss 2.1038 (2.1469)	Prec@1 41.406 (45.589)	Prec@5 78.125 (76.105)
Epoch: [49][340/14090]	Time 0.764 (0.781)	Data 0.001 (0.016)	Loss 2.2121 (2.1494)	Prec@1 49.219 (45.555)	Prec@5 71.875 (76.077)
Epoch: [49][350/14090]	Time 0.751 (0.781)	Data 0.001 (0.015)	Loss 1.9265 (2.1511)	Prec@1 50.781 (45.555)	Prec@5 77.344 (76.044)
Epoch: [49][360/14090]	Time 0.735 (0.781)	Data 0.001 (0.015)	Loss 2.0510 (2.1527)	Prec@1 46.094 (45.561)	Prec@5 75.000 (76.013)
Epoch: [49][370/14090]	Time 0.772 (0.780)	Data 0.001 (0.015)	Loss 2.4029 (2.1541)	Prec@1 46.094 (45.546)	Prec@5 65.625 (75.986)
Epoch: [49][380/14090]	Time 0.946 (0.780)	Data 0.001 (0.014)	Loss 2.5175 (2.1568)	Prec@1 39.844 (45.481)	Prec@5 70.312 (75.923)
Epoch: [49][390/14090]	Time 0.735 (0.780)	Data 0.001 (0.014)	Loss 2.2658 (2.1564)	Prec@1 45.312 (45.530)	Prec@5 75.781 (75.943)
Epoch: [49][400/14090]	Time 0.745 (0.779)	Data 0.001 (0.014)	Loss 2.4685 (2.1566)	Prec@1 39.062 (45.554)	Prec@5 74.219 (75.953)
Epoch: [49][410/14090]	Time 0.764 (0.779)	Data 0.001 (0.013)	Loss 2.3673 (2.1582)	Prec@1 42.188 (45.525)	Prec@5 71.875 (75.956)
Epoch: [49][420/14090]	Time 0.745 (0.779)	Data 0.001 (0.013)	Loss 1.9417 (2.1580)	Prec@1 51.562 (45.570)	Prec@5 77.344 (75.954)
Epoch: [49][430/14090]	Time 0.752 (0.779)	Data 0.001 (0.013)	Loss 2.2030 (2.1595)	Prec@1 42.969 (45.561)	Prec@5 77.344 (75.943)
Epoch: [49][440/14090]	Time 0.738 (0.779)	Data 0.001 (0.012)	Loss 1.9901 (2.1582)	Prec@1 43.750 (45.541)	Prec@5 82.031 (75.950)
Epoch: [49][450/14090]	Time 0.888 (0.779)	Data 0.001 (0.012)	Loss 2.0546 (2.1595)	Prec@1 46.094 (45.513)	Prec@5 77.344 (75.925)
Epoch: [49][460/14090]	Time 0.747 (0.778)	Data 0.001 (0.012)	Loss 1.9846 (2.1594)	Prec@1 51.562 (45.465)	Prec@5 76.562 (75.941)
Epoch: [49][470/14090]	Time 0.738 (0.778)	Data 0.001 (0.012)	Loss 2.1678 (2.1588)	Prec@1 46.875 (45.424)	Prec@5 78.125 (75.977)
Epoch: [49][480/14090]	Time 0.748 (0.778)	Data 0.001 (0.012)	Loss 2.1423 (2.1588)	Prec@1 46.094 (45.376)	Prec@5 72.656 (75.949)
Epoch: [49][490/14090]	Time 0.737 (0.777)	Data 0.001 (0.011)	Loss 2.0004 (2.1586)	Prec@1 50.000 (45.371)	Prec@5 79.688 (75.963)
Epoch: [49][500/14090]	Time 0.745 (0.777)	Data 0.001 (0.011)	Loss 2.1135 (2.1597)	Prec@1 45.312 (45.373)	Prec@5 80.469 (75.953)
Epoch: [49][510/14090]	Time 0.753 (0.777)	Data 0.001 (0.011)	Loss 2.1163 (2.1604)	Prec@1 46.875 (45.360)	Prec@5 75.781 (75.937)
Epoch: [49][520/14090]	Time 0.923 (0.777)	Data 0.001 (0.011)	Loss 2.3505 (2.1618)	Prec@1 42.969 (45.342)	Prec@5 71.094 (75.907)
Epoch: [49][530/14090]	Time 0.744 (0.777)	Data 0.001 (0.011)	Loss 2.1094 (2.1625)	Prec@1 45.312 (45.312)	Prec@5 75.000 (75.892)
Epoch: [49][540/14090]	Time 0.746 (0.776)	Data 0.001 (0.010)	Loss 1.8998 (2.1614)	Prec@1 54.688 (45.351)	Prec@5 81.250 (75.921)
Epoch: [49][550/14090]	Time 0.750 (0.776)	Data 0.001 (0.010)	Loss 2.1910 (2.1627)	Prec@1 42.969 (45.337)	Prec@5 75.781 (75.859)
Epoch: [49][560/14090]	Time 0.730 (0.776)	Data 0.001 (0.010)	Loss 2.0177 (2.1628)	Prec@1 54.688 (45.346)	Prec@5 73.438 (75.843)
Epoch: [49][570/14090]	Time 0.734 (0.776)	Data 0.001 (0.010)	Loss 2.4091 (2.1619)	Prec@1 39.062 (45.356)	Prec@5 71.094 (75.861)
Epoch: [49][580/14090]	Time 0.758 (0.775)	Data 0.001 (0.010)	Loss 1.9173 (2.1609)	Prec@1 48.438 (45.365)	Prec@5 82.812 (75.893)
Epoch: [49][590/14090]	Time 0.874 (0.776)	Data 0.001 (0.010)	Loss 2.3462 (2.1605)	Prec@1 39.844 (45.375)	Prec@5 76.562 (75.916)
Epoch: [49][600/14090]	Time 0.748 (0.775)	Data 0.001 (0.009)	Loss 1.9250 (2.1605)	Prec@1 51.562 (45.354)	Prec@5 80.469 (75.952)
Epoch: [49][610/14090]	Time 0.777 (0.775)	Data 0.001 (0.009)	Loss 2.0335 (2.1587)	Prec@1 44.531 (45.362)	Prec@5 82.031 (75.982)
Epoch: [49][620/14090]	Time 0.756 (0.775)	Data 0.001 (0.009)	Loss 2.1547 (2.1585)	Prec@1 56.250 (45.387)	Prec@5 72.656 (75.974)
Epoch: [49][630/14090]	Time 0.747 (0.775)	Data 0.001 (0.009)	Loss 2.0283 (2.1586)	Prec@1 53.125 (45.419)	Prec@5 79.688 (75.976)
Epoch: [49][640/14090]	Time 0.759 (0.775)	Data 0.001 (0.009)	Loss 2.0483 (2.1572)	Prec@1 47.656 (45.444)	Prec@5 78.125 (76.008)
Epoch: [49][650/14090]	Time 0.753 (0.775)	Data 0.001 (0.009)	Loss 2.4460 (2.1567)	Prec@1 39.062 (45.440)	Prec@5 74.219 (76.015)
Epoch: [49][660/14090]	Time 0.843 (0.775)	Data 0.001 (0.009)	Loss 2.0278 (2.1563)	Prec@1 50.000 (45.471)	Prec@5 77.344 (76.031)
Epoch: [49][670/14090]	Time 0.743 (0.774)	Data 0.001 (0.008)	Loss 2.0554 (2.1565)	Prec@1 48.438 (45.462)	Prec@5 78.125 (76.028)
Epoch: [49][680/14090]	Time 0.761 (0.774)	Data 0.001 (0.008)	Loss 2.4735 (2.1563)	Prec@1 35.156 (45.498)	Prec@5 64.844 (76.011)
Epoch: [49][690/14090]	Time 0.765 (0.774)	Data 0.001 (0.008)	Loss 2.3052 (2.1548)	Prec@1 42.188 (45.519)	Prec@5 72.656 (76.033)
Epoch: [49][700/14090]	Time 0.746 (0.774)	Data 0.001 (0.008)	Loss 2.2283 (2.1564)	Prec@1 42.969 (45.496)	Prec@5 74.219 (76.006)
Epoch: [49][710/14090]	Time 0.755 (0.774)	Data 0.001 (0.008)	Loss 2.0455 (2.1563)	Prec@1 46.875 (45.511)	Prec@5 76.562 (76.015)
Epoch: [49][720/14090]	Time 0.756 (0.774)	Data 0.001 (0.008)	Loss 2.2626 (2.1565)	Prec@1 45.312 (45.497)	Prec@5 75.000 (76.001)
Epoch: [49][730/14090]	Time 0.912 (0.774)	Data 0.001 (0.008)	Loss 2.2414 (2.1564)	Prec@1 42.969 (45.486)	Prec@5 72.656 (76.000)
Epoch: [49][740/14090]	Time 0.766 (0.773)	Data 0.001 (0.008)	Loss 2.0153 (2.1554)	Prec@1 50.781 (45.498)	Prec@5 78.906 (76.034)
Epoch: [49][750/14090]	Time 0.761 (0.773)	Data 0.001 (0.008)	Loss 2.1350 (2.1544)	Prec@1 41.406 (45.520)	Prec@5 74.219 (76.042)
Epoch: [49][760/14090]	Time 0.731 (0.773)	Data 0.001 (0.008)	Loss 2.0818 (2.1541)	Prec@1 47.656 (45.525)	Prec@5 77.344 (76.045)
Epoch: [49][770/14090]	Time 0.756 (0.773)	Data 0.001 (0.007)	Loss 2.4905 (2.1566)	Prec@1 39.062 (45.489)	Prec@5 73.438 (76.009)
Epoch: [49][780/14090]	Time 0.726 (0.773)	Data 0.001 (0.007)	Loss 2.1684 (2.1572)	Prec@1 42.188 (45.459)	Prec@5 77.344 (75.997)
Epoch: [49][790/14090]	Time 0.735 (0.773)	Data 0.001 (0.007)	Loss 2.2590 (2.1563)	Prec@1 39.844 (45.465)	Prec@5 74.219 (76.024)
Epoch: [49][800/14090]	Time 0.913 (0.773)	Data 0.001 (0.007)	Loss 2.0448 (2.1563)	Prec@1 41.406 (45.456)	Prec@5 80.469 (76.034)
Epoch: [49][810/14090]	Time 0.757 (0.772)	Data 0.001 (0.007)	Loss 1.9673 (2.1559)	Prec@1 46.094 (45.468)	Prec@5 80.469 (76.032)
Epoch: [49][820/14090]	Time 0.767 (0.772)	Data 0.001 (0.007)	Loss 2.0090 (2.1561)	Prec@1 50.000 (45.465)	Prec@5 75.000 (76.025)
Epoch: [49][830/14090]	Time 0.743 (0.772)	Data 0.001 (0.007)	Loss 2.1964 (2.1566)	Prec@1 42.969 (45.458)	Prec@5 81.250 (76.015)
Epoch: [49][840/14090]	Time 0.754 (0.772)	Data 0.002 (0.007)	Loss 1.9541 (2.1562)	Prec@1 52.344 (45.467)	Prec@5 83.594 (76.035)
Epoch: [49][850/14090]	Time 0.755 (0.772)	Data 0.001 (0.007)	Loss 2.2510 (2.1569)	Prec@1 48.438 (45.458)	Prec@5 75.000 (76.035)
Epoch: [49][860/14090]	Time 0.746 (0.772)	Data 0.001 (0.007)	Loss 1.9647 (2.1573)	Prec@1 47.656 (45.414)	Prec@5 79.688 (76.038)
Epoch: [49][870/14090]	Time 0.867 (0.772)	Data 0.001 (0.007)	Loss 2.1426 (2.1571)	Prec@1 44.531 (45.424)	Prec@5 77.344 (76.042)
Epoch: [49][880/14090]	Time 0.772 (0.772)	Data 0.001 (0.007)	Loss 1.9631 (2.1573)	Prec@1 49.219 (45.417)	Prec@5 78.906 (76.045)
Epoch: [49][890/14090]	Time 0.754 (0.772)	Data 0.001 (0.007)	Loss 2.4826 (2.1575)	Prec@1 39.062 (45.423)	Prec@5 68.750 (76.035)
Epoch: [49][900/14090]	Time 0.735 (0.772)	Data 0.001 (0.007)	Loss 2.2911 (2.1574)	Prec@1 39.844 (45.417)	Prec@5 75.000 (76.030)
Epoch: [49][910/14090]	Time 0.746 (0.772)	Data 0.001 (0.006)	Loss 2.5751 (2.1573)	Prec@1 40.625 (45.431)	Prec@5 64.844 (76.035)
Epoch: [49][920/14090]	Time 0.750 (0.772)	Data 0.001 (0.006)	Loss 2.1373 (2.1566)	Prec@1 46.094 (45.439)	Prec@5 76.562 (76.059)
Epoch: [49][930/14090]	Time 0.757 (0.771)	Data 0.001 (0.006)	Loss 1.9897 (2.1572)	Prec@1 53.906 (45.440)	Prec@5 76.562 (76.038)
Epoch: [49][940/14090]	Time 0.881 (0.771)	Data 0.001 (0.006)	Loss 2.1380 (2.1565)	Prec@1 47.656 (45.463)	Prec@5 73.438 (76.048)
Epoch: [49][950/14090]	Time 0.722 (0.771)	Data 0.001 (0.006)	Loss 1.9161 (2.1571)	Prec@1 55.469 (45.464)	Prec@5 78.906 (76.042)
Epoch: [49][960/14090]	Time 0.756 (0.771)	Data 0.002 (0.006)	Loss 2.2614 (2.1580)	Prec@1 46.875 (45.465)	Prec@5 75.781 (76.024)
Epoch: [49][970/14090]	Time 0.773 (0.771)	Data 0.001 (0.006)	Loss 2.0605 (2.1581)	Prec@1 53.125 (45.452)	Prec@5 77.344 (76.018)
Epoch: [49][980/14090]	Time 0.742 (0.771)	Data 0.001 (0.006)	Loss 2.3536 (2.1576)	Prec@1 40.625 (45.477)	Prec@5 71.875 (76.031)
Epoch: [49][990/14090]	Time 0.733 (0.771)	Data 0.001 (0.006)	Loss 2.3905 (2.1577)	Prec@1 42.188 (45.464)	Prec@5 71.875 (76.033)
Epoch: [49][1000/14090]	Time 0.733 (0.771)	Data 0.001 (0.006)	Loss 2.1736 (2.1579)	Prec@1 49.219 (45.451)	Prec@5 76.562 (76.030)
Epoch: [49][1010/14090]	Time 0.868 (0.771)	Data 0.001 (0.006)	Loss 1.9118 (2.1575)	Prec@1 54.688 (45.460)	Prec@5 78.125 (76.037)
Epoch: [49][1020/14090]	Time 0.730 (0.771)	Data 0.001 (0.006)	Loss 1.8414 (2.1563)	Prec@1 49.219 (45.469)	Prec@5 76.562 (76.048)
Epoch: [49][1030/14090]	Time 0.743 (0.771)	Data 0.001 (0.006)	Loss 2.0199 (2.1566)	Prec@1 45.312 (45.472)	Prec@5 77.344 (76.025)
Epoch: [49][1040/14090]	Time 0.743 (0.771)	Data 0.001 (0.006)	Loss 2.0190 (2.1560)	Prec@1 46.875 (45.466)	Prec@5 83.594 (76.039)
Epoch: [49][1050/14090]	Time 0.732 (0.770)	Data 0.001 (0.006)	Loss 1.9158 (2.1564)	Prec@1 50.000 (45.463)	Prec@5 78.906 (76.046)
Epoch: [49][1060/14090]	Time 0.744 (0.770)	Data 0.001 (0.006)	Loss 2.4609 (2.1569)	Prec@1 36.719 (45.469)	Prec@5 70.312 (76.037)
Epoch: [49][1070/14090]	Time 0.739 (0.770)	Data 0.001 (0.006)	Loss 1.9382 (2.1563)	Prec@1 46.094 (45.473)	Prec@5 82.812 (76.056)
Epoch: [49][1080/14090]	Time 0.850 (0.770)	Data 0.001 (0.006)	Loss 2.1089 (2.1563)	Prec@1 46.094 (45.478)	Prec@5 74.219 (76.055)
Epoch: [49][1090/14090]	Time 0.732 (0.770)	Data 0.001 (0.006)	Loss 2.1381 (2.1568)	Prec@1 42.969 (45.455)	Prec@5 75.781 (76.040)
Epoch: [49][1100/14090]	Time 0.730 (0.770)	Data 0.001 (0.005)	Loss 2.2143 (2.1572)	Prec@1 47.656 (45.447)	Prec@5 69.531 (76.036)
Epoch: [49][1110/14090]	Time 0.735 (0.770)	Data 0.001 (0.005)	Loss 2.3076 (2.1582)	Prec@1 46.875 (45.429)	Prec@5 71.875 (76.017)
Epoch: [49][1120/14090]	Time 0.748 (0.770)	Data 0.001 (0.005)	Loss 2.3389 (2.1584)	Prec@1 42.188 (45.427)	Prec@5 73.438 (76.013)
Epoch: [49][1130/14090]	Time 0.750 (0.770)	Data 0.001 (0.005)	Loss 2.3096 (2.1584)	Prec@1 42.969 (45.434)	Prec@5 69.531 (76.009)
Epoch: [49][1140/14090]	Time 0.739 (0.770)	Data 0.001 (0.005)	Loss 2.1421 (2.1584)	Prec@1 51.562 (45.443)	Prec@5 76.562 (75.998)
Epoch: [49][1150/14090]	Time 0.857 (0.770)	Data 0.001 (0.005)	Loss 2.1568 (2.1584)	Prec@1 46.875 (45.447)	Prec@5 74.219 (75.993)
Epoch: [49][1160/14090]	Time 0.720 (0.770)	Data 0.001 (0.005)	Loss 2.3590 (2.1592)	Prec@1 41.406 (45.442)	Prec@5 67.969 (75.970)
Epoch: [49][1170/14090]	Time 0.761 (0.770)	Data 0.001 (0.005)	Loss 1.5561 (2.1583)	Prec@1 59.375 (45.459)	Prec@5 85.938 (75.981)
Epoch: [49][1180/14090]	Time 0.738 (0.770)	Data 0.001 (0.005)	Loss 2.3841 (2.1581)	Prec@1 39.844 (45.461)	Prec@5 71.094 (75.985)
Epoch: [49][1190/14090]	Time 0.779 (0.770)	Data 0.001 (0.005)	Loss 2.3143 (2.1577)	Prec@1 39.062 (45.469)	Prec@5 71.875 (75.983)
Epoch: [49][1200/14090]	Time 0.757 (0.770)	Data 0.001 (0.005)	Loss 1.9458 (2.1574)	Prec@1 49.219 (45.478)	Prec@5 81.250 (75.984)
Epoch: [49][1210/14090]	Time 0.752 (0.770)	Data 0.001 (0.005)	Loss 2.3505 (2.1580)	Prec@1 40.625 (45.456)	Prec@5 72.656 (75.975)
Epoch: [49][1220/14090]	Time 0.868 (0.770)	Data 0.001 (0.005)	Loss 2.0136 (2.1582)	Prec@1 49.219 (45.462)	Prec@5 80.469 (75.967)
Epoch: [49][1230/14090]	Time 0.739 (0.770)	Data 0.001 (0.005)	Loss 2.1473 (2.1583)	Prec@1 42.969 (45.462)	Prec@5 74.219 (75.970)
Epoch: [49][1240/14090]	Time 0.732 (0.769)	Data 0.001 (0.005)	Loss 2.2503 (2.1588)	Prec@1 42.969 (45.445)	Prec@5 71.875 (75.959)
Epoch: [49][1250/14090]	Time 0.741 (0.769)	Data 0.001 (0.005)	Loss 2.2744 (2.1592)	Prec@1 44.531 (45.447)	Prec@5 74.219 (75.949)
Epoch: [49][1260/14090]	Time 0.736 (0.769)	Data 0.001 (0.005)	Loss 2.0145 (2.1600)	Prec@1 43.750 (45.415)	Prec@5 78.125 (75.942)
Epoch: [49][1270/14090]	Time 0.744 (0.770)	Data 0.001 (0.005)	Loss 2.1550 (2.1598)	Prec@1 42.188 (45.413)	Prec@5 76.562 (75.945)
Epoch: [49][1280/14090]	Time 0.730 (0.769)	Data 0.001 (0.005)	Loss 2.3457 (2.1604)	Prec@1 41.406 (45.399)	Prec@5 71.094 (75.933)
Epoch: [49][1290/14090]	Time 1.037 (0.770)	Data 0.001 (0.005)	Loss 2.0783 (2.1602)	Prec@1 48.438 (45.406)	Prec@5 78.906 (75.931)
Epoch: [49][1300/14090]	Time 0.734 (0.769)	Data 0.001 (0.005)	Loss 2.1179 (2.1605)	Prec@1 49.219 (45.391)	Prec@5 78.906 (75.924)
Epoch: [49][1310/14090]	Time 0.750 (0.769)	Data 0.001 (0.005)	Loss 2.2558 (2.1602)	Prec@1 41.406 (45.392)	Prec@5 74.219 (75.936)
Epoch: [49][1320/14090]	Time 0.748 (0.769)	Data 0.001 (0.005)	Loss 2.1203 (2.1599)	Prec@1 45.312 (45.406)	Prec@5 75.000 (75.930)
Epoch: [49][1330/14090]	Time 0.776 (0.769)	Data 0.001 (0.005)	Loss 2.3226 (2.1606)	Prec@1 41.406 (45.394)	Prec@5 75.000 (75.925)
Epoch: [49][1340/14090]	Time 0.762 (0.769)	Data 0.001 (0.005)	Loss 2.3291 (2.1610)	Prec@1 39.844 (45.390)	Prec@5 73.438 (75.916)
Epoch: [49][1350/14090]	Time 0.744 (0.769)	Data 0.001 (0.005)	Loss 1.9484 (2.1613)	Prec@1 47.656 (45.384)	Prec@5 85.156 (75.930)
Epoch: [49][1360/14090]	Time 0.855 (0.769)	Data 0.001 (0.005)	Loss 2.4779 (2.1620)	Prec@1 37.500 (45.356)	Prec@5 70.312 (75.907)
Epoch: [49][1370/14090]	Time 0.732 (0.769)	Data 0.001 (0.005)	Loss 2.0829 (2.1621)	Prec@1 46.094 (45.354)	Prec@5 81.250 (75.915)
Epoch: [49][1380/14090]	Time 0.754 (0.769)	Data 0.001 (0.005)	Loss 2.0817 (2.1624)	Prec@1 44.531 (45.349)	Prec@5 78.125 (75.917)
Epoch: [49][1390/14090]	Time 0.748 (0.769)	Data 0.001 (0.005)	Loss 2.0627 (2.1627)	Prec@1 43.750 (45.338)	Prec@5 77.344 (75.912)
Epoch: [49][1400/14090]	Time 0.755 (0.769)	Data 0.001 (0.004)	Loss 2.2179 (2.1640)	Prec@1 44.531 (45.315)	Prec@5 76.562 (75.894)
Epoch: [49][1410/14090]	Time 0.728 (0.769)	Data 0.001 (0.004)	Loss 2.3288 (2.1643)	Prec@1 41.406 (45.296)	Prec@5 75.000 (75.896)
Epoch: [49][1420/14090]	Time 0.721 (0.769)	Data 0.001 (0.004)	Loss 2.2131 (2.1645)	Prec@1 42.969 (45.285)	Prec@5 71.875 (75.896)
Epoch: [49][1430/14090]	Time 0.843 (0.769)	Data 0.001 (0.004)	Loss 2.0360 (2.1641)	Prec@1 47.656 (45.291)	Prec@5 73.438 (75.900)
Epoch: [49][1440/14090]	Time 0.740 (0.769)	Data 0.001 (0.004)	Loss 2.2027 (2.1642)	Prec@1 44.531 (45.290)	Prec@5 78.125 (75.896)
Epoch: [49][1450/14090]	Time 0.748 (0.769)	Data 0.001 (0.004)	Loss 1.8408 (2.1644)	Prec@1 52.344 (45.279)	Prec@5 83.594 (75.892)
Epoch: [49][1460/14090]	Time 0.730 (0.769)	Data 0.001 (0.004)	Loss 2.3895 (2.1646)	Prec@1 37.500 (45.271)	Prec@5 74.219 (75.886)
Epoch: [49][1470/14090]	Time 0.757 (0.769)	Data 0.001 (0.004)	Loss 2.2612 (2.1652)	Prec@1 40.625 (45.254)	Prec@5 76.562 (75.878)
Epoch: [49][1480/14090]	Time 0.752 (0.769)	Data 0.001 (0.004)	Loss 2.4892 (2.1655)	Prec@1 41.406 (45.268)	Prec@5 69.531 (75.872)
Epoch: [49][1490/14090]	Time 0.754 (0.769)	Data 0.001 (0.004)	Loss 2.1074 (2.1653)	Prec@1 50.781 (45.281)	Prec@5 77.344 (75.879)
Epoch: [49][1500/14090]	Time 0.886 (0.769)	Data 0.001 (0.004)	Loss 2.3054 (2.1656)	Prec@1 44.531 (45.282)	Prec@5 69.531 (75.867)
Epoch: [49][1510/14090]	Time 0.751 (0.769)	Data 0.001 (0.004)	Loss 1.8894 (2.1660)	Prec@1 46.094 (45.267)	Prec@5 79.688 (75.860)
Epoch: [49][1520/14090]	Time 0.727 (0.769)	Data 0.001 (0.004)	Loss 2.1998 (2.1657)	Prec@1 43.750 (45.282)	Prec@5 80.469 (75.867)
Epoch: [49][1530/14090]	Time 0.732 (0.769)	Data 0.001 (0.004)	Loss 2.1686 (2.1656)	Prec@1 48.438 (45.283)	Prec@5 75.781 (75.873)
Epoch: [49][1540/14090]	Time 0.757 (0.769)	Data 0.001 (0.004)	Loss 2.1847 (2.1653)	Prec@1 42.969 (45.294)	Prec@5 72.656 (75.881)
Epoch: [49][1550/14090]	Time 0.732 (0.769)	Data 0.001 (0.004)	Loss 2.0320 (2.1651)	Prec@1 46.094 (45.300)	Prec@5 83.594 (75.894)
Epoch: [49][1560/14090]	Time 0.753 (0.769)	Data 0.001 (0.004)	Loss 2.0561 (2.1656)	Prec@1 45.312 (45.298)	Prec@5 76.562 (75.882)
Epoch: [49][1570/14090]	Time 0.842 (0.769)	Data 0.001 (0.004)	Loss 2.4035 (2.1657)	Prec@1 39.062 (45.300)	Prec@5 72.656 (75.880)
Epoch: [49][1580/14090]	Time 0.760 (0.769)	Data 0.001 (0.004)	Loss 2.3390 (2.1657)	Prec@1 42.969 (45.300)	Prec@5 67.969 (75.879)
Epoch: [49][1590/14090]	Time 0.747 (0.768)	Data 0.001 (0.004)	Loss 2.1108 (2.1655)	Prec@1 44.531 (45.302)	Prec@5 75.781 (75.875)
Epoch: [49][1600/14090]	Time 0.753 (0.769)	Data 0.001 (0.004)	Loss 2.0159 (2.1650)	Prec@1 46.875 (45.309)	Prec@5 82.812 (75.887)
Epoch: [49][1610/14090]	Time 0.751 (0.768)	Data 0.001 (0.004)	Loss 1.9867 (2.1649)	Prec@1 47.656 (45.304)	Prec@5 78.125 (75.889)
Epoch: [49][1620/14090]	Time 0.752 (0.768)	Data 0.001 (0.004)	Loss 1.9629 (2.1649)	Prec@1 46.875 (45.303)	Prec@5 80.469 (75.879)
Epoch: [49][1630/14090]	Time 0.750 (0.768)	Data 0.001 (0.004)	Loss 2.1021 (2.1652)	Prec@1 42.188 (45.290)	Prec@5 78.906 (75.874)
Epoch: [49][1640/14090]	Time 0.862 (0.768)	Data 0.001 (0.004)	Loss 2.0417 (2.1653)	Prec@1 48.438 (45.284)	Prec@5 78.906 (75.871)
Epoch: [49][1650/14090]	Time 0.742 (0.768)	Data 0.001 (0.004)	Loss 2.2105 (2.1654)	Prec@1 46.094 (45.280)	Prec@5 77.344 (75.870)
Epoch: [49][1660/14090]	Time 0.734 (0.768)	Data 0.001 (0.004)	Loss 2.3467 (2.1659)	Prec@1 42.188 (45.274)	Prec@5 75.781 (75.866)
Epoch: [49][1670/14090]	Time 0.732 (0.768)	Data 0.001 (0.004)	Loss 2.1746 (2.1656)	Prec@1 50.000 (45.280)	Prec@5 74.219 (75.867)
Epoch: [49][1680/14090]	Time 0.755 (0.768)	Data 0.001 (0.004)	Loss 2.2254 (2.1658)	Prec@1 43.750 (45.271)	Prec@5 71.094 (75.864)
Epoch: [49][1690/14090]	Time 0.744 (0.768)	Data 0.001 (0.004)	Loss 2.2874 (2.1661)	Prec@1 41.406 (45.262)	Prec@5 75.000 (75.869)
Epoch: [49][1700/14090]	Time 0.729 (0.768)	Data 0.001 (0.004)	Loss 2.1746 (2.1660)	Prec@1 45.312 (45.265)	Prec@5 72.656 (75.868)
Epoch: [49][1710/14090]	Time 0.867 (0.768)	Data 0.001 (0.004)	Loss 2.1701 (2.1661)	Prec@1 46.875 (45.274)	Prec@5 78.125 (75.861)
Epoch: [49][1720/14090]	Time 0.730 (0.768)	Data 0.001 (0.004)	Loss 2.0750 (2.1663)	Prec@1 44.531 (45.265)	Prec@5 82.031 (75.858)
Epoch: [49][1730/14090]	Time 0.755 (0.768)	Data 0.001 (0.004)	Loss 2.2479 (2.1662)	Prec@1 41.406 (45.267)	Prec@5 76.562 (75.856)
Epoch: [49][1740/14090]	Time 0.736 (0.768)	Data 0.001 (0.004)	Loss 2.3844 (2.1664)	Prec@1 38.281 (45.271)	Prec@5 70.312 (75.845)
Epoch: [49][1750/14090]	Time 0.757 (0.768)	Data 0.001 (0.004)	Loss 1.9648 (2.1663)	Prec@1 46.875 (45.274)	Prec@5 82.031 (75.844)
Epoch: [49][1760/14090]	Time 0.747 (0.768)	Data 0.001 (0.004)	Loss 2.0968 (2.1662)	Prec@1 45.312 (45.275)	Prec@5 76.562 (75.843)
Epoch: [49][1770/14090]	Time 0.732 (0.768)	Data 0.001 (0.004)	Loss 2.2209 (2.1666)	Prec@1 41.406 (45.258)	Prec@5 75.781 (75.835)
Epoch: [49][1780/14090]	Time 0.868 (0.768)	Data 0.001 (0.004)	Loss 2.0489 (2.1666)	Prec@1 43.750 (45.254)	Prec@5 73.438 (75.835)
Epoch: [49][1790/14090]	Time 0.750 (0.768)	Data 0.001 (0.004)	Loss 2.0430 (2.1665)	Prec@1 47.656 (45.264)	Prec@5 73.438 (75.825)
Epoch: [49][1800/14090]	Time 0.753 (0.768)	Data 0.001 (0.004)	Loss 2.2202 (2.1666)	Prec@1 41.406 (45.268)	Prec@5 78.125 (75.826)
Epoch: [49][1810/14090]	Time 0.763 (0.768)	Data 0.001 (0.004)	Loss 2.5240 (2.1669)	Prec@1 38.281 (45.265)	Prec@5 72.656 (75.826)
Epoch: [49][1820/14090]	Time 0.754 (0.768)	Data 0.001 (0.004)	Loss 2.1926 (2.1670)	Prec@1 48.438 (45.267)	Prec@5 75.781 (75.828)
Epoch: [49][1830/14090]	Time 0.749 (0.768)	Data 0.001 (0.004)	Loss 1.9711 (2.1667)	Prec@1 50.000 (45.275)	Prec@5 78.125 (75.828)
Epoch: [49][1840/14090]	Time 0.767 (0.768)	Data 0.001 (0.004)	Loss 2.2210 (2.1668)	Prec@1 40.625 (45.273)	Prec@5 77.344 (75.827)
Epoch: [49][1850/14090]	Time 0.856 (0.768)	Data 0.001 (0.004)	Loss 2.1584 (2.1667)	Prec@1 46.875 (45.280)	Prec@5 75.781 (75.833)
Epoch: [49][1860/14090]	Time 0.727 (0.768)	Data 0.001 (0.004)	Loss 2.1107 (2.1672)	Prec@1 50.781 (45.269)	Prec@5 75.781 (75.819)
Epoch: [49][1870/14090]	Time 0.751 (0.768)	Data 0.001 (0.004)	Loss 2.3982 (2.1668)	Prec@1 48.438 (45.279)	Prec@5 68.750 (75.827)
Epoch: [49][1880/14090]	Time 0.739 (0.768)	Data 0.001 (0.004)	Loss 1.8235 (2.1670)	Prec@1 53.906 (45.273)	Prec@5 80.469 (75.822)
Epoch: [49][1890/14090]	Time 0.752 (0.768)	Data 0.001 (0.004)	Loss 2.1226 (2.1670)	Prec@1 45.312 (45.281)	Prec@5 78.906 (75.819)
Epoch: [49][1900/14090]	Time 0.754 (0.768)	Data 0.001 (0.004)	Loss 2.1884 (2.1674)	Prec@1 42.188 (45.273)	Prec@5 71.094 (75.813)
Epoch: [49][1910/14090]	Time 0.747 (0.768)	Data 0.001 (0.004)	Loss 1.9524 (2.1672)	Prec@1 51.562 (45.270)	Prec@5 77.344 (75.820)
Epoch: [49][1920/14090]	Time 0.884 (0.768)	Data 0.001 (0.003)	Loss 2.1002 (2.1669)	Prec@1 48.438 (45.278)	Prec@5 75.000 (75.827)
Epoch: [49][1930/14090]	Time 0.763 (0.768)	Data 0.001 (0.003)	Loss 2.0630 (2.1669)	Prec@1 46.094 (45.280)	Prec@5 78.906 (75.833)
Epoch: [49][1940/14090]	Time 0.778 (0.768)	Data 0.001 (0.003)	Loss 2.1862 (2.1668)	Prec@1 52.344 (45.283)	Prec@5 74.219 (75.833)
Epoch: [49][1950/14090]	Time 0.748 (0.768)	Data 0.001 (0.003)	Loss 1.9545 (2.1662)	Prec@1 47.656 (45.294)	Prec@5 78.125 (75.847)
Epoch: [49][1960/14090]	Time 0.753 (0.768)	Data 0.001 (0.003)	Loss 2.2343 (2.1664)	Prec@1 42.188 (45.297)	Prec@5 71.094 (75.839)
Epoch: [49][1970/14090]	Time 0.726 (0.768)	Data 0.001 (0.003)	Loss 2.2366 (2.1663)	Prec@1 47.656 (45.295)	Prec@5 78.125 (75.847)
Epoch: [49][1980/14090]	Time 0.756 (0.768)	Data 0.001 (0.003)	Loss 2.4218 (2.1665)	Prec@1 46.094 (45.294)	Prec@5 67.188 (75.840)
Epoch: [49][1990/14090]	Time 0.853 (0.768)	Data 0.001 (0.003)	Loss 2.0035 (2.1663)	Prec@1 49.219 (45.300)	Prec@5 77.344 (75.837)
Epoch: [49][2000/14090]	Time 0.761 (0.768)	Data 0.001 (0.003)	Loss 2.4647 (2.1666)	Prec@1 40.625 (45.301)	Prec@5 69.531 (75.828)
Epoch: [49][2010/14090]	Time 0.737 (0.768)	Data 0.001 (0.003)	Loss 2.2915 (2.1667)	Prec@1 42.188 (45.292)	Prec@5 77.344 (75.823)
Epoch: [49][2020/14090]	Time 0.747 (0.768)	Data 0.001 (0.003)	Loss 2.1686 (2.1668)	Prec@1 46.875 (45.295)	Prec@5 75.781 (75.816)
Epoch: [49][2030/14090]	Time 0.765 (0.768)	Data 0.001 (0.003)	Loss 2.1846 (2.1668)	Prec@1 46.875 (45.305)	Prec@5 75.781 (75.820)
Epoch: [49][2040/14090]	Time 0.736 (0.768)	Data 0.001 (0.003)	Loss 2.3855 (2.1669)	Prec@1 37.500 (45.299)	Prec@5 68.750 (75.823)
Epoch: [49][2050/14090]	Time 0.734 (0.768)	Data 0.001 (0.003)	Loss 2.3038 (2.1674)	Prec@1 45.312 (45.292)	Prec@5 68.750 (75.804)
Epoch: [49][2060/14090]	Time 1.042 (0.768)	Data 0.001 (0.003)	Loss 2.0416 (2.1670)	Prec@1 50.781 (45.301)	Prec@5 78.125 (75.813)
Epoch: [49][2070/14090]	Time 0.730 (0.768)	Data 0.001 (0.003)	Loss 2.0340 (2.1669)	Prec@1 52.344 (45.307)	Prec@5 75.781 (75.819)
Epoch: [49][2080/14090]	Time 0.742 (0.768)	Data 0.001 (0.003)	Loss 2.1360 (2.1670)	Prec@1 46.875 (45.303)	Prec@5 76.562 (75.818)
Epoch: [49][2090/14090]	Time 0.758 (0.768)	Data 0.001 (0.003)	Loss 2.3389 (2.1668)	Prec@1 43.750 (45.310)	Prec@5 77.344 (75.819)
Epoch: [49][2100/14090]	Time 0.747 (0.768)	Data 0.001 (0.003)	Loss 2.2985 (2.1672)	Prec@1 42.969 (45.304)	Prec@5 74.219 (75.815)
Epoch: [49][2110/14090]	Time 0.754 (0.768)	Data 0.001 (0.003)	Loss 2.0468 (2.1668)	Prec@1 43.750 (45.307)	Prec@5 77.344 (75.822)
Epoch: [49][2120/14090]	Time 0.722 (0.768)	Data 0.001 (0.003)	Loss 2.4291 (2.1665)	Prec@1 39.844 (45.316)	Prec@5 71.875 (75.828)
Epoch: [49][2130/14090]	Time 0.874 (0.768)	Data 0.001 (0.003)	Loss 2.2113 (2.1664)	Prec@1 45.312 (45.313)	Prec@5 78.125 (75.836)
Epoch: [49][2140/14090]	Time 0.735 (0.768)	Data 0.001 (0.003)	Loss 2.1104 (2.1667)	Prec@1 48.438 (45.306)	Prec@5 80.469 (75.833)
Epoch: [49][2150/14090]	Time 0.749 (0.767)	Data 0.001 (0.003)	Loss 2.0341 (2.1664)	Prec@1 44.531 (45.301)	Prec@5 74.219 (75.835)
Epoch: [49][2160/14090]	Time 0.753 (0.768)	Data 0.001 (0.003)	Loss 2.2591 (2.1665)	Prec@1 45.312 (45.297)	Prec@5 76.562 (75.838)
Epoch: [49][2170/14090]	Time 0.769 (0.768)	Data 0.001 (0.003)	Loss 2.2680 (2.1663)	Prec@1 46.094 (45.300)	Prec@5 77.344 (75.836)
Epoch: [49][2180/14090]	Time 0.755 (0.768)	Data 0.001 (0.003)	Loss 2.2984 (2.1665)	Prec@1 39.062 (45.295)	Prec@5 74.219 (75.832)
Epoch: [49][2190/14090]	Time 0.763 (0.767)	Data 0.001 (0.003)	Loss 2.2745 (2.1665)	Prec@1 45.312 (45.303)	Prec@5 72.656 (75.832)
Epoch: [49][2200/14090]	Time 0.887 (0.767)	Data 0.001 (0.003)	Loss 2.0220 (2.1663)	Prec@1 45.312 (45.308)	Prec@5 75.781 (75.837)
Epoch: [49][2210/14090]	Time 0.744 (0.767)	Data 0.001 (0.003)	Loss 2.0817 (2.1662)	Prec@1 48.438 (45.310)	Prec@5 76.562 (75.832)
Epoch: [49][2220/14090]	Time 0.772 (0.767)	Data 0.001 (0.003)	Loss 2.2464 (2.1664)	Prec@1 44.531 (45.307)	Prec@5 75.781 (75.830)
Epoch: [49][2230/14090]	Time 0.761 (0.767)	Data 0.001 (0.003)	Loss 1.8071 (2.1662)	Prec@1 53.125 (45.305)	Prec@5 83.594 (75.834)
Epoch: [49][2240/14090]	Time 0.752 (0.767)	Data 0.001 (0.003)	Loss 2.1348 (2.1664)	Prec@1 49.219 (45.302)	Prec@5 80.469 (75.831)
Epoch: [49][2250/14090]	Time 0.738 (0.767)	Data 0.001 (0.003)	Loss 2.0457 (2.1668)	Prec@1 48.438 (45.301)	Prec@5 79.688 (75.822)
Epoch: [49][2260/14090]	Time 0.723 (0.767)	Data 0.001 (0.003)	Loss 2.2025 (2.1666)	Prec@1 41.406 (45.306)	Prec@5 74.219 (75.829)
Epoch: [49][2270/14090]	Time 0.834 (0.767)	Data 0.001 (0.003)	Loss 2.1449 (2.1667)	Prec@1 42.969 (45.299)	Prec@5 74.219 (75.826)
Epoch: [49][2280/14090]	Time 0.754 (0.767)	Data 0.001 (0.003)	Loss 2.2965 (2.1668)	Prec@1 43.750 (45.293)	Prec@5 71.875 (75.826)
Epoch: [49][2290/14090]	Time 0.735 (0.767)	Data 0.001 (0.003)	Loss 2.0704 (2.1673)	Prec@1 53.125 (45.290)	Prec@5 77.344 (75.812)
Epoch: [49][2300/14090]	Time 0.753 (0.767)	Data 0.001 (0.003)	Loss 2.6332 (2.1674)	Prec@1 41.406 (45.284)	Prec@5 65.625 (75.815)
Epoch: [49][2310/14090]	Time 0.731 (0.767)	Data 0.001 (0.003)	Loss 1.8966 (2.1677)	Prec@1 51.562 (45.274)	Prec@5 78.125 (75.813)
Epoch: [49][2320/14090]	Time 0.760 (0.767)	Data 0.001 (0.003)	Loss 2.2982 (2.1678)	Prec@1 42.188 (45.270)	Prec@5 72.656 (75.809)
Epoch: [49][2330/14090]	Time 0.755 (0.767)	Data 0.001 (0.003)	Loss 2.1981 (2.1678)	Prec@1 45.312 (45.275)	Prec@5 75.000 (75.809)
Epoch: [49][2340/14090]	Time 0.852 (0.767)	Data 0.001 (0.003)	Loss 2.1381 (2.1677)	Prec@1 46.875 (45.274)	Prec@5 78.906 (75.810)
Epoch: [49][2350/14090]	Time 0.783 (0.767)	Data 0.001 (0.003)	Loss 1.8733 (2.1676)	Prec@1 54.688 (45.276)	Prec@5 74.219 (75.808)
Epoch: [49][2360/14090]	Time 0.752 (0.767)	Data 0.001 (0.003)	Loss 2.3715 (2.1678)	Prec@1 40.625 (45.271)	Prec@5 69.531 (75.800)
Epoch: [49][2370/14090]	Time 0.732 (0.767)	Data 0.001 (0.003)	Loss 2.3007 (2.1678)	Prec@1 41.406 (45.270)	Prec@5 71.875 (75.807)
Epoch: [49][2380/14090]	Time 0.734 (0.767)	Data 0.001 (0.003)	Loss 2.0896 (2.1676)	Prec@1 43.750 (45.279)	Prec@5 78.125 (75.813)
Epoch: [49][2390/14090]	Time 0.751 (0.767)	Data 0.001 (0.003)	Loss 2.1722 (2.1678)	Prec@1 46.094 (45.270)	Prec@5 76.562 (75.810)
Epoch: [49][2400/14090]	Time 0.742 (0.767)	Data 0.001 (0.003)	Loss 2.2347 (2.1675)	Prec@1 40.625 (45.277)	Prec@5 76.562 (75.820)
Epoch: [49][2410/14090]	Time 0.887 (0.767)	Data 0.001 (0.003)	Loss 2.3477 (2.1676)	Prec@1 39.062 (45.269)	Prec@5 76.562 (75.816)
Epoch: [49][2420/14090]	Time 0.746 (0.767)	Data 0.001 (0.003)	Loss 2.2002 (2.1675)	Prec@1 42.188 (45.264)	Prec@5 76.562 (75.821)
Epoch: [49][2430/14090]	Time 0.750 (0.767)	Data 0.001 (0.003)	Loss 2.2934 (2.1677)	Prec@1 43.750 (45.259)	Prec@5 72.656 (75.816)
Epoch: [49][2440/14090]	Time 0.729 (0.767)	Data 0.001 (0.003)	Loss 2.1388 (2.1675)	Prec@1 46.875 (45.261)	Prec@5 76.562 (75.816)
Epoch: [49][2450/14090]	Time 0.748 (0.767)	Data 0.001 (0.003)	Loss 2.0081 (2.1671)	Prec@1 47.656 (45.275)	Prec@5 78.906 (75.821)
Epoch: [49][2460/14090]	Time 0.732 (0.767)	Data 0.001 (0.003)	Loss 1.8109 (2.1672)	Prec@1 49.219 (45.271)	Prec@5 82.031 (75.819)
Epoch: [49][2470/14090]	Time 0.756 (0.767)	Data 0.001 (0.003)	Loss 1.9459 (2.1675)	Prec@1 50.781 (45.263)	Prec@5 78.906 (75.815)
Epoch: [49][2480/14090]	Time 0.834 (0.767)	Data 0.001 (0.003)	Loss 2.2675 (2.1675)	Prec@1 40.625 (45.259)	Prec@5 71.875 (75.811)
Epoch: [49][2490/14090]	Time 0.726 (0.767)	Data 0.001 (0.003)	Loss 2.3046 (2.1679)	Prec@1 42.188 (45.251)	Prec@5 72.656 (75.804)
Epoch: [49][2500/14090]	Time 0.760 (0.767)	Data 0.001 (0.003)	Loss 2.1085 (2.1680)	Prec@1 48.438 (45.251)	Prec@5 75.781 (75.799)
Epoch: [49][2510/14090]	Time 0.738 (0.767)	Data 0.001 (0.003)	Loss 2.3486 (2.1680)	Prec@1 42.969 (45.252)	Prec@5 67.969 (75.795)
Epoch: [49][2520/14090]	Time 0.754 (0.767)	Data 0.001 (0.003)	Loss 2.0044 (2.1682)	Prec@1 45.312 (45.242)	Prec@5 76.562 (75.791)
Epoch: [49][2530/14090]	Time 0.750 (0.767)	Data 0.001 (0.003)	Loss 2.2682 (2.1684)	Prec@1 42.969 (45.233)	Prec@5 74.219 (75.791)
Epoch: [49][2540/14090]	Time 0.753 (0.767)	Data 0.001 (0.003)	Loss 2.2168 (2.1685)	Prec@1 47.656 (45.235)	Prec@5 72.656 (75.789)
Epoch: [49][2550/14090]	Time 0.861 (0.767)	Data 0.001 (0.003)	Loss 2.0396 (2.1685)	Prec@1 47.656 (45.236)	Prec@5 78.125 (75.785)
Epoch: [49][2560/14090]	Time 0.758 (0.767)	Data 0.001 (0.003)	Loss 2.0801 (2.1684)	Prec@1 51.562 (45.245)	Prec@5 78.125 (75.789)
Epoch: [49][2570/14090]	Time 0.748 (0.767)	Data 0.001 (0.003)	Loss 2.1625 (2.1684)	Prec@1 45.312 (45.249)	Prec@5 75.781 (75.789)
Epoch: [49][2580/14090]	Time 0.771 (0.767)	Data 0.001 (0.003)	Loss 1.9278 (2.1684)	Prec@1 50.781 (45.247)	Prec@5 78.906 (75.784)
Epoch: [49][2590/14090]	Time 0.741 (0.767)	Data 0.001 (0.003)	Loss 1.9840 (2.1683)	Prec@1 46.094 (45.251)	Prec@5 78.125 (75.785)
Epoch: [49][2600/14090]	Time 0.750 (0.767)	Data 0.001 (0.003)	Loss 2.1682 (2.1686)	Prec@1 49.219 (45.246)	Prec@5 78.906 (75.779)
Epoch: [49][2610/14090]	Time 0.724 (0.767)	Data 0.001 (0.003)	Loss 2.2892 (2.1685)	Prec@1 43.750 (45.250)	Prec@5 73.438 (75.774)
Epoch: [49][2620/14090]	Time 0.850 (0.767)	Data 0.001 (0.003)	Loss 2.2392 (2.1689)	Prec@1 43.750 (45.242)	Prec@5 77.344 (75.771)
Epoch: [49][2630/14090]	Time 0.739 (0.767)	Data 0.001 (0.003)	Loss 2.3318 (2.1691)	Prec@1 44.531 (45.231)	Prec@5 76.562 (75.774)
Epoch: [49][2640/14090]	Time 0.759 (0.767)	Data 0.001 (0.003)	Loss 2.1506 (2.1691)	Prec@1 45.312 (45.224)	Prec@5 76.562 (75.774)
Epoch: [49][2650/14090]	Time 0.777 (0.767)	Data 0.001 (0.003)	Loss 2.5910 (2.1697)	Prec@1 40.625 (45.217)	Prec@5 71.875 (75.763)
Epoch: [49][2660/14090]	Time 0.762 (0.767)	Data 0.001 (0.003)	Loss 2.0377 (2.1698)	Prec@1 46.094 (45.213)	Prec@5 77.344 (75.760)
Epoch: [49][2670/14090]	Time 0.726 (0.767)	Data 0.001 (0.003)	Loss 2.3469 (2.1698)	Prec@1 42.969 (45.209)	Prec@5 73.438 (75.760)
Epoch: [49][2680/14090]	Time 0.762 (0.767)	Data 0.001 (0.003)	Loss 2.0814 (2.1701)	Prec@1 42.969 (45.200)	Prec@5 80.469 (75.752)
Epoch: [49][2690/14090]	Time 0.868 (0.767)	Data 0.001 (0.003)	Loss 2.1879 (2.1702)	Prec@1 48.438 (45.200)	Prec@5 75.781 (75.753)
Epoch: [49][2700/14090]	Time 0.751 (0.767)	Data 0.001 (0.003)	Loss 2.0610 (2.1699)	Prec@1 43.750 (45.211)	Prec@5 78.906 (75.758)
Epoch: [49][2710/14090]	Time 0.793 (0.767)	Data 0.001 (0.003)	Loss 1.8795 (2.1699)	Prec@1 53.906 (45.212)	Prec@5 80.469 (75.758)
Epoch: [49][2720/14090]	Time 0.749 (0.767)	Data 0.001 (0.003)	Loss 2.2398 (2.1700)	Prec@1 42.969 (45.208)	Prec@5 73.438 (75.754)
Epoch: [49][2730/14090]	Time 0.738 (0.767)	Data 0.001 (0.003)	Loss 2.3462 (2.1701)	Prec@1 42.969 (45.206)	Prec@5 73.438 (75.747)
Epoch: [49][2740/14090]	Time 0.754 (0.767)	Data 0.001 (0.003)	Loss 2.1883 (2.1701)	Prec@1 42.969 (45.202)	Prec@5 74.219 (75.744)
Epoch: [49][2750/14090]	Time 0.765 (0.767)	Data 0.001 (0.003)	Loss 2.3745 (2.1701)	Prec@1 42.188 (45.195)	Prec@5 71.875 (75.743)
Epoch: [49][2760/14090]	Time 0.849 (0.767)	Data 0.001 (0.003)	Loss 2.2189 (2.1702)	Prec@1 49.219 (45.200)	Prec@5 76.562 (75.741)
Epoch: [49][2770/14090]	Time 0.748 (0.767)	Data 0.001 (0.003)	Loss 2.1499 (2.1705)	Prec@1 44.531 (45.188)	Prec@5 74.219 (75.737)
Epoch: [49][2780/14090]	Time 0.727 (0.767)	Data 0.001 (0.003)	Loss 2.2390 (2.1706)	Prec@1 42.188 (45.188)	Prec@5 75.000 (75.735)
Epoch: [49][2790/14090]	Time 0.736 (0.767)	Data 0.001 (0.003)	Loss 2.0286 (2.1704)	Prec@1 42.969 (45.192)	Prec@5 74.219 (75.734)
Epoch: [49][2800/14090]	Time 0.778 (0.767)	Data 0.002 (0.003)	Loss 2.0802 (2.1704)	Prec@1 43.750 (45.194)	Prec@5 77.344 (75.732)
Epoch: [49][2810/14090]	Time 0.736 (0.767)	Data 0.001 (0.003)	Loss 1.8997 (2.1705)	Prec@1 54.688 (45.196)	Prec@5 82.031 (75.733)
Epoch: [49][2820/14090]	Time 0.742 (0.767)	Data 0.001 (0.003)	Loss 2.2798 (2.1709)	Prec@1 45.312 (45.189)	Prec@5 71.094 (75.729)
Epoch: [49][2830/14090]	Time 0.843 (0.767)	Data 0.001 (0.003)	Loss 2.1725 (2.1708)	Prec@1 44.531 (45.189)	Prec@5 71.875 (75.730)
Epoch: [49][2840/14090]	Time 0.746 (0.767)	Data 0.001 (0.003)	Loss 2.1114 (2.1709)	Prec@1 50.781 (45.186)	Prec@5 75.000 (75.730)
Epoch: [49][2850/14090]	Time 0.756 (0.766)	Data 0.001 (0.003)	Loss 2.1301 (2.1709)	Prec@1 50.000 (45.184)	Prec@5 76.562 (75.731)
Epoch: [49][2860/14090]	Time 0.723 (0.767)	Data 0.001 (0.003)	Loss 2.0641 (2.1709)	Prec@1 57.031 (45.187)	Prec@5 79.688 (75.734)
Epoch: [49][2870/14090]	Time 0.747 (0.766)	Data 0.001 (0.003)	Loss 2.2614 (2.1710)	Prec@1 46.094 (45.183)	Prec@5 71.094 (75.731)
Epoch: [49][2880/14090]	Time 0.764 (0.766)	Data 0.001 (0.003)	Loss 1.8874 (2.1709)	Prec@1 53.125 (45.186)	Prec@5 79.688 (75.736)
Epoch: [49][2890/14090]	Time 0.732 (0.766)	Data 0.001 (0.003)	Loss 1.9778 (2.1708)	Prec@1 45.312 (45.181)	Prec@5 80.469 (75.740)
Epoch: [49][2900/14090]	Time 0.877 (0.766)	Data 0.001 (0.003)	Loss 2.0897 (2.1709)	Prec@1 50.781 (45.185)	Prec@5 78.906 (75.741)
Epoch: [49][2910/14090]	Time 0.773 (0.766)	Data 0.001 (0.003)	Loss 2.1807 (2.1709)	Prec@1 42.188 (45.177)	Prec@5 75.000 (75.739)
Epoch: [49][2920/14090]	Time 0.756 (0.766)	Data 0.001 (0.003)	Loss 2.1923 (2.1709)	Prec@1 46.094 (45.183)	Prec@5 75.000 (75.741)
Epoch: [49][2930/14090]	Time 0.748 (0.766)	Data 0.001 (0.003)	Loss 2.2430 (2.1710)	Prec@1 47.656 (45.186)	Prec@5 71.094 (75.737)
Epoch: [49][2940/14090]	Time 0.756 (0.766)	Data 0.001 (0.003)	Loss 2.6789 (2.1714)	Prec@1 38.281 (45.176)	Prec@5 68.750 (75.735)
Epoch: [49][2950/14090]	Time 0.752 (0.766)	Data 0.001 (0.003)	Loss 2.2405 (2.1714)	Prec@1 44.531 (45.176)	Prec@5 75.781 (75.740)
Epoch: [49][2960/14090]	Time 0.739 (0.766)	Data 0.001 (0.003)	Loss 2.0258 (2.1711)	Prec@1 48.438 (45.183)	Prec@5 79.688 (75.744)
Epoch: [49][2970/14090]	Time 0.871 (0.766)	Data 0.001 (0.003)	Loss 2.3714 (2.1715)	Prec@1 39.844 (45.178)	Prec@5 75.000 (75.740)
Epoch: [49][2980/14090]	Time 0.759 (0.766)	Data 0.001 (0.003)	Loss 2.6096 (2.1718)	Prec@1 38.281 (45.172)	Prec@5 67.188 (75.734)
Epoch: [49][2990/14090]	Time 0.732 (0.766)	Data 0.001 (0.003)	Loss 2.3388 (2.1720)	Prec@1 35.938 (45.163)	Prec@5 73.438 (75.730)
Epoch: [49][3000/14090]	Time 0.757 (0.766)	Data 0.001 (0.003)	Loss 2.2083 (2.1721)	Prec@1 50.000 (45.164)	Prec@5 71.875 (75.723)
Epoch: [49][3010/14090]	Time 0.751 (0.766)	Data 0.001 (0.003)	Loss 2.3014 (2.1722)	Prec@1 39.062 (45.156)	Prec@5 71.094 (75.719)
Epoch: [49][3020/14090]	Time 0.761 (0.766)	Data 0.001 (0.003)	Loss 2.2884 (2.1723)	Prec@1 43.750 (45.153)	Prec@5 71.094 (75.713)
Epoch: [49][3030/14090]	Time 0.754 (0.766)	Data 0.001 (0.003)	Loss 2.1255 (2.1722)	Prec@1 47.656 (45.151)	Prec@5 78.125 (75.717)
Epoch: [49][3040/14090]	Time 0.884 (0.766)	Data 0.001 (0.003)	Loss 2.0507 (2.1723)	Prec@1 44.531 (45.148)	Prec@5 80.469 (75.716)
Epoch: [49][3050/14090]	Time 0.764 (0.766)	Data 0.001 (0.003)	Loss 2.1765 (2.1722)	Prec@1 46.094 (45.150)	Prec@5 72.656 (75.716)
Epoch: [49][3060/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 2.1937 (2.1720)	Prec@1 44.531 (45.147)	Prec@5 78.125 (75.723)
Epoch: [49][3070/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.1974 (2.1721)	Prec@1 39.844 (45.144)	Prec@5 80.469 (75.724)
Epoch: [49][3080/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.1591 (2.1720)	Prec@1 52.344 (45.148)	Prec@5 75.781 (75.726)
Epoch: [49][3090/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 2.1252 (2.1721)	Prec@1 41.406 (45.141)	Prec@5 75.781 (75.724)
Epoch: [49][3100/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 1.9513 (2.1721)	Prec@1 47.656 (45.137)	Prec@5 78.906 (75.725)
Epoch: [49][3110/14090]	Time 0.866 (0.766)	Data 0.001 (0.002)	Loss 2.1670 (2.1718)	Prec@1 48.438 (45.140)	Prec@5 73.438 (75.732)
Epoch: [49][3120/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 2.2919 (2.1720)	Prec@1 44.531 (45.135)	Prec@5 76.562 (75.731)
Epoch: [49][3130/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.1203 (2.1721)	Prec@1 48.438 (45.132)	Prec@5 76.562 (75.729)
Epoch: [49][3140/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.1576 (2.1722)	Prec@1 42.188 (45.132)	Prec@5 75.000 (75.728)
Epoch: [49][3150/14090]	Time 0.783 (0.766)	Data 0.001 (0.002)	Loss 2.2993 (2.1721)	Prec@1 44.531 (45.138)	Prec@5 71.094 (75.727)
Epoch: [49][3160/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.1182 (2.1721)	Prec@1 42.969 (45.140)	Prec@5 74.219 (75.725)
Epoch: [49][3170/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.1373 (2.1722)	Prec@1 46.875 (45.138)	Prec@5 78.125 (75.721)
Epoch: [49][3180/14090]	Time 0.888 (0.766)	Data 0.001 (0.002)	Loss 2.2579 (2.1724)	Prec@1 43.750 (45.131)	Prec@5 76.562 (75.718)
Epoch: [49][3190/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.2684 (2.1724)	Prec@1 46.094 (45.130)	Prec@5 77.344 (75.721)
Epoch: [49][3200/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 2.1285 (2.1724)	Prec@1 50.000 (45.126)	Prec@5 77.344 (75.723)
Epoch: [49][3210/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 2.1675 (2.1726)	Prec@1 46.094 (45.121)	Prec@5 75.781 (75.724)
Epoch: [49][3220/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 2.0154 (2.1723)	Prec@1 45.312 (45.124)	Prec@5 78.906 (75.727)
Epoch: [49][3230/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.1378 (2.1722)	Prec@1 44.531 (45.126)	Prec@5 75.000 (75.726)
Epoch: [49][3240/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.1484 (2.1721)	Prec@1 46.875 (45.132)	Prec@5 74.219 (75.731)
Epoch: [49][3250/14090]	Time 0.872 (0.766)	Data 0.001 (0.002)	Loss 2.1775 (2.1720)	Prec@1 43.750 (45.130)	Prec@5 75.781 (75.735)
Epoch: [49][3260/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.0351 (2.1720)	Prec@1 46.094 (45.130)	Prec@5 76.562 (75.738)
Epoch: [49][3270/14090]	Time 0.728 (0.766)	Data 0.001 (0.002)	Loss 2.2430 (2.1721)	Prec@1 35.156 (45.131)	Prec@5 71.875 (75.738)
Epoch: [49][3280/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 2.2629 (2.1723)	Prec@1 42.969 (45.128)	Prec@5 81.250 (75.736)
Epoch: [49][3290/14090]	Time 0.726 (0.766)	Data 0.001 (0.002)	Loss 2.3436 (2.1726)	Prec@1 45.312 (45.125)	Prec@5 73.438 (75.733)
Epoch: [49][3300/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 2.0091 (2.1725)	Prec@1 50.000 (45.124)	Prec@5 76.562 (75.734)
Epoch: [49][3310/14090]	Time 0.778 (0.766)	Data 0.001 (0.002)	Loss 2.0963 (2.1723)	Prec@1 50.781 (45.130)	Prec@5 75.781 (75.736)
Epoch: [49][3320/14090]	Time 0.937 (0.766)	Data 0.001 (0.002)	Loss 2.3087 (2.1723)	Prec@1 37.500 (45.129)	Prec@5 68.750 (75.732)
Epoch: [49][3330/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 2.2398 (2.1724)	Prec@1 42.188 (45.130)	Prec@5 78.125 (75.727)
Epoch: [49][3340/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 2.0568 (2.1724)	Prec@1 50.000 (45.134)	Prec@5 77.344 (75.724)
Epoch: [49][3350/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 1.9833 (2.1724)	Prec@1 48.438 (45.138)	Prec@5 78.906 (75.729)
Epoch: [49][3360/14090]	Time 0.721 (0.766)	Data 0.001 (0.002)	Loss 2.0582 (2.1724)	Prec@1 42.969 (45.136)	Prec@5 78.906 (75.729)
Epoch: [49][3370/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 1.9188 (2.1726)	Prec@1 50.781 (45.130)	Prec@5 79.688 (75.724)
Epoch: [49][3380/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.2420 (2.1726)	Prec@1 45.312 (45.132)	Prec@5 77.344 (75.727)
Epoch: [49][3390/14090]	Time 0.862 (0.766)	Data 0.001 (0.002)	Loss 2.1599 (2.1725)	Prec@1 45.312 (45.134)	Prec@5 76.562 (75.731)
Epoch: [49][3400/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 2.3055 (2.1723)	Prec@1 41.406 (45.134)	Prec@5 72.656 (75.731)
Epoch: [49][3410/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 2.2388 (2.1724)	Prec@1 43.750 (45.133)	Prec@5 69.531 (75.731)
Epoch: [49][3420/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.6921 (2.1724)	Prec@1 32.031 (45.128)	Prec@5 67.188 (75.731)
Epoch: [49][3430/14090]	Time 0.725 (0.766)	Data 0.001 (0.002)	Loss 2.1553 (2.1725)	Prec@1 45.312 (45.131)	Prec@5 73.438 (75.727)
Epoch: [49][3440/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 2.3023 (2.1722)	Prec@1 42.969 (45.143)	Prec@5 72.656 (75.732)
Epoch: [49][3450/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 2.2763 (2.1721)	Prec@1 34.375 (45.138)	Prec@5 75.000 (75.735)
Epoch: [49][3460/14090]	Time 0.852 (0.766)	Data 0.001 (0.002)	Loss 2.4150 (2.1723)	Prec@1 35.156 (45.131)	Prec@5 68.750 (75.732)
Epoch: [49][3470/14090]	Time 0.763 (0.766)	Data 0.001 (0.002)	Loss 2.1708 (2.1723)	Prec@1 42.188 (45.133)	Prec@5 77.344 (75.730)
Epoch: [49][3480/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.3016 (2.1725)	Prec@1 46.094 (45.129)	Prec@5 73.438 (75.727)
Epoch: [49][3490/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 1.9749 (2.1722)	Prec@1 49.219 (45.137)	Prec@5 79.688 (75.733)
Epoch: [49][3500/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 2.1748 (2.1724)	Prec@1 45.312 (45.139)	Prec@5 76.562 (75.729)
Epoch: [49][3510/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.0971 (2.1724)	Prec@1 50.781 (45.140)	Prec@5 75.000 (75.733)
Epoch: [49][3520/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 2.0434 (2.1723)	Prec@1 54.688 (45.146)	Prec@5 75.781 (75.732)
Epoch: [49][3530/14090]	Time 0.893 (0.766)	Data 0.001 (0.002)	Loss 2.0320 (2.1721)	Prec@1 46.875 (45.147)	Prec@5 75.781 (75.731)
Epoch: [49][3540/14090]	Time 0.727 (0.766)	Data 0.001 (0.002)	Loss 2.4881 (2.1724)	Prec@1 37.500 (45.142)	Prec@5 67.969 (75.726)
Epoch: [49][3550/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.0123 (2.1724)	Prec@1 42.188 (45.139)	Prec@5 78.125 (75.726)
Epoch: [49][3560/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 2.3505 (2.1723)	Prec@1 43.750 (45.139)	Prec@5 69.531 (75.727)
Epoch: [49][3570/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 2.2951 (2.1723)	Prec@1 36.719 (45.139)	Prec@5 75.000 (75.729)
Epoch: [49][3580/14090]	Time 0.723 (0.766)	Data 0.001 (0.002)	Loss 2.2032 (2.1722)	Prec@1 45.312 (45.137)	Prec@5 71.875 (75.730)
Epoch: [49][3590/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 1.8524 (2.1721)	Prec@1 54.688 (45.139)	Prec@5 82.031 (75.734)
Epoch: [49][3600/14090]	Time 0.836 (0.766)	Data 0.001 (0.002)	Loss 2.2666 (2.1722)	Prec@1 46.094 (45.138)	Prec@5 72.656 (75.734)
Epoch: [49][3610/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.3428 (2.1724)	Prec@1 39.844 (45.132)	Prec@5 67.188 (75.730)
Epoch: [49][3620/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 2.3584 (2.1726)	Prec@1 35.938 (45.131)	Prec@5 72.656 (75.726)
Epoch: [49][3630/14090]	Time 0.767 (0.766)	Data 0.001 (0.002)	Loss 1.9928 (2.1727)	Prec@1 46.875 (45.129)	Prec@5 78.906 (75.723)
Epoch: [49][3640/14090]	Time 0.761 (0.766)	Data 0.001 (0.002)	Loss 2.0845 (2.1728)	Prec@1 46.875 (45.134)	Prec@5 77.344 (75.722)
Epoch: [49][3650/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 2.2197 (2.1728)	Prec@1 41.406 (45.133)	Prec@5 68.750 (75.722)
Epoch: [49][3660/14090]	Time 0.765 (0.766)	Data 0.001 (0.002)	Loss 2.0408 (2.1726)	Prec@1 51.562 (45.139)	Prec@5 80.469 (75.724)
Epoch: [49][3670/14090]	Time 0.907 (0.766)	Data 0.001 (0.002)	Loss 2.2177 (2.1728)	Prec@1 46.875 (45.138)	Prec@5 75.781 (75.720)
Epoch: [49][3680/14090]	Time 0.764 (0.766)	Data 0.001 (0.002)	Loss 2.2063 (2.1729)	Prec@1 48.438 (45.137)	Prec@5 71.875 (75.712)
Epoch: [49][3690/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 2.1336 (2.1730)	Prec@1 45.312 (45.136)	Prec@5 77.344 (75.709)
Epoch: [49][3700/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 2.3773 (2.1730)	Prec@1 40.625 (45.136)	Prec@5 74.219 (75.711)
Epoch: [49][3710/14090]	Time 0.782 (0.766)	Data 0.001 (0.002)	Loss 2.0705 (2.1730)	Prec@1 46.875 (45.132)	Prec@5 76.562 (75.709)
Epoch: [49][3720/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 2.2714 (2.1730)	Prec@1 48.438 (45.135)	Prec@5 76.562 (75.713)
Epoch: [49][3730/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.1380 (2.1729)	Prec@1 44.531 (45.134)	Prec@5 72.656 (75.715)
Epoch: [49][3740/14090]	Time 0.869 (0.766)	Data 0.001 (0.002)	Loss 2.3346 (2.1729)	Prec@1 45.312 (45.135)	Prec@5 73.438 (75.712)
Epoch: [49][3750/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.3106 (2.1731)	Prec@1 41.406 (45.131)	Prec@5 77.344 (75.713)
Epoch: [49][3760/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 2.2137 (2.1733)	Prec@1 45.312 (45.128)	Prec@5 74.219 (75.703)
Epoch: [49][3770/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 2.0947 (2.1731)	Prec@1 48.438 (45.134)	Prec@5 75.781 (75.707)
Epoch: [49][3780/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 2.2745 (2.1731)	Prec@1 41.406 (45.133)	Prec@5 74.219 (75.705)
Epoch: [49][3790/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 2.3188 (2.1734)	Prec@1 46.875 (45.133)	Prec@5 75.000 (75.701)
Epoch: [49][3800/14090]	Time 0.722 (0.766)	Data 0.001 (0.002)	Loss 2.1819 (2.1735)	Prec@1 46.094 (45.137)	Prec@5 75.000 (75.699)
Epoch: [49][3810/14090]	Time 0.879 (0.766)	Data 0.001 (0.002)	Loss 2.0893 (2.1736)	Prec@1 42.969 (45.131)	Prec@5 81.250 (75.697)
Epoch: [49][3820/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.3164 (2.1737)	Prec@1 38.281 (45.129)	Prec@5 71.094 (75.695)
Epoch: [49][3830/14090]	Time 0.763 (0.766)	Data 0.001 (0.002)	Loss 2.2201 (2.1739)	Prec@1 46.094 (45.130)	Prec@5 75.000 (75.692)
Epoch: [49][3840/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 2.1017 (2.1738)	Prec@1 48.438 (45.133)	Prec@5 75.000 (75.693)
Epoch: [49][3850/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 1.9735 (2.1739)	Prec@1 52.344 (45.132)	Prec@5 82.031 (75.692)
Epoch: [49][3860/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.2618 (2.1740)	Prec@1 41.406 (45.126)	Prec@5 75.000 (75.693)
Epoch: [49][3870/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.3461 (2.1741)	Prec@1 39.844 (45.124)	Prec@5 72.656 (75.692)
Epoch: [49][3880/14090]	Time 0.875 (0.766)	Data 0.001 (0.002)	Loss 2.2826 (2.1741)	Prec@1 38.281 (45.125)	Prec@5 75.000 (75.690)
Epoch: [49][3890/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 2.4398 (2.1744)	Prec@1 42.188 (45.122)	Prec@5 71.094 (75.688)
Epoch: [49][3900/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 2.5134 (2.1746)	Prec@1 40.625 (45.119)	Prec@5 74.219 (75.685)
Epoch: [49][3910/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.3575 (2.1746)	Prec@1 42.969 (45.117)	Prec@5 71.094 (75.688)
Epoch: [49][3920/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 2.1904 (2.1746)	Prec@1 42.188 (45.117)	Prec@5 72.656 (75.684)
Epoch: [49][3930/14090]	Time 0.728 (0.766)	Data 0.001 (0.002)	Loss 2.0146 (2.1744)	Prec@1 49.219 (45.120)	Prec@5 75.000 (75.686)
Epoch: [49][3940/14090]	Time 0.726 (0.766)	Data 0.001 (0.002)	Loss 2.1306 (2.1744)	Prec@1 46.875 (45.122)	Prec@5 73.438 (75.684)
Epoch: [49][3950/14090]	Time 1.020 (0.766)	Data 0.001 (0.002)	Loss 2.0548 (2.1746)	Prec@1 50.781 (45.120)	Prec@5 78.125 (75.685)
Epoch: [49][3960/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 2.0601 (2.1745)	Prec@1 44.531 (45.123)	Prec@5 79.688 (75.689)
Epoch: [49][3970/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.1371 (2.1746)	Prec@1 50.000 (45.121)	Prec@5 76.562 (75.688)
Epoch: [49][3980/14090]	Time 0.728 (0.766)	Data 0.001 (0.002)	Loss 2.1143 (2.1746)	Prec@1 48.438 (45.120)	Prec@5 75.000 (75.688)
Epoch: [49][3990/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 2.1202 (2.1744)	Prec@1 42.969 (45.123)	Prec@5 71.094 (75.691)
Epoch: [49][4000/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 2.1074 (2.1744)	Prec@1 42.188 (45.119)	Prec@5 75.000 (75.688)
Epoch: [49][4010/14090]	Time 0.725 (0.766)	Data 0.001 (0.002)	Loss 2.0911 (2.1744)	Prec@1 41.406 (45.117)	Prec@5 78.125 (75.686)
Epoch: [49][4020/14090]	Time 0.853 (0.766)	Data 0.001 (0.002)	Loss 1.9329 (2.1742)	Prec@1 50.000 (45.123)	Prec@5 81.250 (75.694)
Epoch: [49][4030/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 2.1537 (2.1741)	Prec@1 43.750 (45.127)	Prec@5 76.562 (75.697)
Epoch: [49][4040/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.2006 (2.1742)	Prec@1 45.312 (45.121)	Prec@5 78.906 (75.693)
Epoch: [49][4050/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 2.2230 (2.1744)	Prec@1 43.750 (45.117)	Prec@5 72.656 (75.688)
Epoch: [49][4060/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 2.2571 (2.1746)	Prec@1 48.438 (45.112)	Prec@5 73.438 (75.688)
Epoch: [49][4070/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.1264 (2.1746)	Prec@1 45.312 (45.111)	Prec@5 78.125 (75.689)
Epoch: [49][4080/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 2.0528 (2.1747)	Prec@1 53.125 (45.111)	Prec@5 79.688 (75.687)
Epoch: [49][4090/14090]	Time 0.885 (0.766)	Data 0.001 (0.002)	Loss 2.4294 (2.1748)	Prec@1 42.188 (45.112)	Prec@5 70.312 (75.684)
Epoch: [49][4100/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.2588 (2.1752)	Prec@1 48.438 (45.107)	Prec@5 72.656 (75.676)
Epoch: [49][4110/14090]	Time 0.761 (0.766)	Data 0.001 (0.002)	Loss 2.2237 (2.1750)	Prec@1 45.312 (45.110)	Prec@5 74.219 (75.676)
Epoch: [49][4120/14090]	Time 0.723 (0.766)	Data 0.001 (0.002)	Loss 2.3944 (2.1750)	Prec@1 43.750 (45.112)	Prec@5 73.438 (75.675)
Epoch: [49][4130/14090]	Time 0.770 (0.766)	Data 0.001 (0.002)	Loss 2.0059 (2.1749)	Prec@1 46.094 (45.114)	Prec@5 77.344 (75.680)
Epoch: [49][4140/14090]	Time 0.727 (0.766)	Data 0.001 (0.002)	Loss 1.8328 (2.1750)	Prec@1 49.219 (45.113)	Prec@5 82.031 (75.678)
Epoch: [49][4150/14090]	Time 0.727 (0.766)	Data 0.001 (0.002)	Loss 1.9737 (2.1750)	Prec@1 51.562 (45.114)	Prec@5 75.781 (75.678)
Epoch: [49][4160/14090]	Time 0.875 (0.766)	Data 0.001 (0.002)	Loss 2.0325 (2.1748)	Prec@1 47.656 (45.120)	Prec@5 79.688 (75.682)
Epoch: [49][4170/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.0302 (2.1747)	Prec@1 48.438 (45.123)	Prec@5 77.344 (75.680)
Epoch: [49][4180/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 2.3058 (2.1750)	Prec@1 42.188 (45.117)	Prec@5 75.000 (75.678)
Epoch: [49][4190/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.0347 (2.1749)	Prec@1 53.125 (45.118)	Prec@5 78.125 (75.678)
Epoch: [49][4200/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.2921 (2.1750)	Prec@1 39.844 (45.117)	Prec@5 68.750 (75.675)
Epoch: [49][4210/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 2.3328 (2.1753)	Prec@1 46.094 (45.109)	Prec@5 74.219 (75.670)
Epoch: [49][4220/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 2.4177 (2.1754)	Prec@1 38.281 (45.105)	Prec@5 71.094 (75.669)
Epoch: [49][4230/14090]	Time 0.862 (0.766)	Data 0.002 (0.002)	Loss 2.2310 (2.1755)	Prec@1 42.969 (45.102)	Prec@5 76.562 (75.666)
Epoch: [49][4240/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.2660 (2.1756)	Prec@1 39.062 (45.100)	Prec@5 71.094 (75.666)
Epoch: [49][4250/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.1734 (2.1756)	Prec@1 47.656 (45.093)	Prec@5 76.562 (75.665)
Epoch: [49][4260/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.3376 (2.1757)	Prec@1 42.188 (45.090)	Prec@5 70.312 (75.665)
Epoch: [49][4270/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.1505 (2.1757)	Prec@1 44.531 (45.090)	Prec@5 77.344 (75.665)
Epoch: [49][4280/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.4019 (2.1761)	Prec@1 44.531 (45.084)	Prec@5 73.438 (75.660)
Epoch: [49][4290/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 2.0028 (2.1762)	Prec@1 47.656 (45.082)	Prec@5 80.469 (75.657)
Epoch: [49][4300/14090]	Time 0.825 (0.766)	Data 0.001 (0.002)	Loss 2.4260 (2.1762)	Prec@1 36.719 (45.081)	Prec@5 70.312 (75.656)
Epoch: [49][4310/14090]	Time 0.783 (0.766)	Data 0.001 (0.002)	Loss 2.2421 (2.1764)	Prec@1 41.406 (45.073)	Prec@5 75.000 (75.653)
Epoch: [49][4320/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 2.0133 (2.1765)	Prec@1 52.344 (45.071)	Prec@5 78.906 (75.651)
Epoch: [49][4330/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 2.0488 (2.1766)	Prec@1 50.000 (45.066)	Prec@5 78.125 (75.649)
Epoch: [49][4340/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 2.0391 (2.1767)	Prec@1 46.875 (45.066)	Prec@5 77.344 (75.649)
Epoch: [49][4350/14090]	Time 0.763 (0.766)	Data 0.001 (0.002)	Loss 2.4276 (2.1766)	Prec@1 42.969 (45.069)	Prec@5 65.625 (75.649)
Epoch: [49][4360/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 2.0524 (2.1765)	Prec@1 42.188 (45.070)	Prec@5 79.688 (75.650)
Epoch: [49][4370/14090]	Time 0.847 (0.766)	Data 0.001 (0.002)	Loss 2.1094 (2.1765)	Prec@1 50.000 (45.069)	Prec@5 77.344 (75.651)
Epoch: [49][4380/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.1284 (2.1765)	Prec@1 45.312 (45.069)	Prec@5 78.125 (75.651)
Epoch: [49][4390/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.4003 (2.1764)	Prec@1 39.062 (45.072)	Prec@5 71.094 (75.653)
Epoch: [49][4400/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 2.2956 (2.1764)	Prec@1 39.844 (45.070)	Prec@5 72.656 (75.652)
Epoch: [49][4410/14090]	Time 0.765 (0.766)	Data 0.001 (0.002)	Loss 2.2887 (2.1764)	Prec@1 36.719 (45.072)	Prec@5 73.438 (75.648)
Epoch: [49][4420/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 2.1623 (2.1763)	Prec@1 47.656 (45.075)	Prec@5 72.656 (75.650)
Epoch: [49][4430/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 1.9462 (2.1766)	Prec@1 46.875 (45.069)	Prec@5 79.688 (75.645)
Epoch: [49][4440/14090]	Time 0.920 (0.766)	Data 0.001 (0.002)	Loss 2.0364 (2.1765)	Prec@1 49.219 (45.073)	Prec@5 75.781 (75.642)
Epoch: [49][4450/14090]	Time 0.771 (0.766)	Data 0.001 (0.002)	Loss 1.9849 (2.1766)	Prec@1 49.219 (45.074)	Prec@5 79.688 (75.640)
Epoch: [49][4460/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 2.0023 (2.1764)	Prec@1 50.781 (45.080)	Prec@5 76.562 (75.643)
Epoch: [49][4470/14090]	Time 0.721 (0.766)	Data 0.001 (0.002)	Loss 2.3347 (2.1765)	Prec@1 39.844 (45.078)	Prec@5 71.094 (75.639)
Epoch: [49][4480/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.2109 (2.1766)	Prec@1 45.312 (45.077)	Prec@5 77.344 (75.641)
Epoch: [49][4490/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 2.2547 (2.1766)	Prec@1 46.094 (45.076)	Prec@5 74.219 (75.639)
Epoch: [49][4500/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.2458 (2.1766)	Prec@1 42.969 (45.075)	Prec@5 71.875 (75.636)
Epoch: [49][4510/14090]	Time 0.886 (0.766)	Data 0.001 (0.002)	Loss 2.1619 (2.1769)	Prec@1 44.531 (45.068)	Prec@5 78.125 (75.630)
Epoch: [49][4520/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 2.1887 (2.1768)	Prec@1 47.656 (45.072)	Prec@5 75.781 (75.631)
Epoch: [49][4530/14090]	Time 0.779 (0.766)	Data 0.001 (0.002)	Loss 2.1854 (2.1765)	Prec@1 43.750 (45.076)	Prec@5 76.562 (75.635)
Epoch: [49][4540/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.0744 (2.1764)	Prec@1 45.312 (45.073)	Prec@5 81.250 (75.640)
Epoch: [49][4550/14090]	Time 0.725 (0.766)	Data 0.001 (0.002)	Loss 2.2146 (2.1762)	Prec@1 43.750 (45.081)	Prec@5 71.875 (75.648)
Epoch: [49][4560/14090]	Time 0.766 (0.766)	Data 0.001 (0.002)	Loss 2.2671 (2.1762)	Prec@1 38.281 (45.079)	Prec@5 73.438 (75.645)
Epoch: [49][4570/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 2.0238 (2.1761)	Prec@1 46.875 (45.080)	Prec@5 75.000 (75.646)
Epoch: [49][4580/14090]	Time 0.877 (0.766)	Data 0.001 (0.002)	Loss 2.4192 (2.1761)	Prec@1 34.375 (45.081)	Prec@5 76.562 (75.647)
Epoch: [49][4590/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.1152 (2.1760)	Prec@1 46.094 (45.081)	Prec@5 75.000 (75.648)
Epoch: [49][4600/14090]	Time 0.766 (0.766)	Data 0.001 (0.002)	Loss 2.2706 (2.1760)	Prec@1 47.656 (45.080)	Prec@5 75.781 (75.651)
Epoch: [49][4610/14090]	Time 0.768 (0.766)	Data 0.001 (0.002)	Loss 2.1329 (2.1759)	Prec@1 46.875 (45.079)	Prec@5 75.000 (75.651)
Epoch: [49][4620/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.2856 (2.1761)	Prec@1 43.750 (45.076)	Prec@5 73.438 (75.643)
Epoch: [49][4630/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 2.1665 (2.1761)	Prec@1 48.438 (45.072)	Prec@5 75.000 (75.641)
Epoch: [49][4640/14090]	Time 0.781 (0.766)	Data 0.001 (0.002)	Loss 2.2788 (2.1760)	Prec@1 44.531 (45.074)	Prec@5 75.781 (75.642)
Epoch: [49][4650/14090]	Time 0.870 (0.766)	Data 0.001 (0.002)	Loss 2.1986 (2.1760)	Prec@1 46.875 (45.076)	Prec@5 75.000 (75.642)
Epoch: [49][4660/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 2.0461 (2.1761)	Prec@1 45.312 (45.075)	Prec@5 81.250 (75.640)
Epoch: [49][4670/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 2.3192 (2.1761)	Prec@1 42.188 (45.072)	Prec@5 73.438 (75.640)
Epoch: [49][4680/14090]	Time 0.753 (0.766)	Data 0.002 (0.002)	Loss 2.1794 (2.1761)	Prec@1 44.531 (45.072)	Prec@5 72.656 (75.641)
Epoch: [49][4690/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.1940 (2.1760)	Prec@1 44.531 (45.074)	Prec@5 74.219 (75.641)
Epoch: [49][4700/14090]	Time 0.726 (0.766)	Data 0.001 (0.002)	Loss 2.2613 (2.1761)	Prec@1 46.875 (45.070)	Prec@5 77.344 (75.640)
Epoch: [49][4710/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 2.3579 (2.1763)	Prec@1 43.750 (45.066)	Prec@5 63.281 (75.635)
Epoch: [49][4720/14090]	Time 0.837 (0.766)	Data 0.001 (0.002)	Loss 2.4603 (2.1763)	Prec@1 40.625 (45.064)	Prec@5 70.312 (75.634)
Epoch: [49][4730/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 2.1925 (2.1763)	Prec@1 40.625 (45.060)	Prec@5 78.125 (75.638)
Epoch: [49][4740/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.3573 (2.1764)	Prec@1 43.750 (45.058)	Prec@5 67.188 (75.634)
Epoch: [49][4750/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.0244 (2.1763)	Prec@1 53.125 (45.063)	Prec@5 75.781 (75.636)
Epoch: [49][4760/14090]	Time 0.781 (0.766)	Data 0.001 (0.002)	Loss 2.0544 (2.1760)	Prec@1 43.750 (45.068)	Prec@5 78.125 (75.644)
Epoch: [49][4770/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.0396 (2.1759)	Prec@1 50.000 (45.067)	Prec@5 78.125 (75.649)
Epoch: [49][4780/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.3721 (2.1760)	Prec@1 38.281 (45.067)	Prec@5 76.562 (75.648)
Epoch: [49][4790/14090]	Time 0.879 (0.766)	Data 0.001 (0.002)	Loss 2.2032 (2.1759)	Prec@1 44.531 (45.067)	Prec@5 77.344 (75.646)
Epoch: [49][4800/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 2.3811 (2.1759)	Prec@1 42.188 (45.065)	Prec@5 68.750 (75.646)
Epoch: [49][4810/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 1.9967 (2.1759)	Prec@1 50.000 (45.067)	Prec@5 78.125 (75.645)
Epoch: [49][4820/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 2.2418 (2.1759)	Prec@1 49.219 (45.067)	Prec@5 77.344 (75.646)
Epoch: [49][4830/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 1.9806 (2.1758)	Prec@1 55.469 (45.072)	Prec@5 82.812 (75.647)
Epoch: [49][4840/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.1931 (2.1758)	Prec@1 43.750 (45.073)	Prec@5 76.562 (75.648)
Epoch: [49][4850/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 1.9512 (2.1757)	Prec@1 50.000 (45.078)	Prec@5 79.688 (75.651)
Epoch: [49][4860/14090]	Time 1.039 (0.766)	Data 0.001 (0.002)	Loss 2.0942 (2.1757)	Prec@1 45.312 (45.079)	Prec@5 78.125 (75.648)
Epoch: [49][4870/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 1.9493 (2.1758)	Prec@1 50.000 (45.078)	Prec@5 78.125 (75.648)
Epoch: [49][4880/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 2.1480 (2.1759)	Prec@1 49.219 (45.073)	Prec@5 75.000 (75.645)
Epoch: [49][4890/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.2639 (2.1760)	Prec@1 46.875 (45.071)	Prec@5 69.531 (75.644)
Epoch: [49][4900/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.3376 (2.1760)	Prec@1 38.281 (45.072)	Prec@5 74.219 (75.645)
Epoch: [49][4910/14090]	Time 0.722 (0.766)	Data 0.001 (0.002)	Loss 2.4837 (2.1763)	Prec@1 40.625 (45.067)	Prec@5 66.406 (75.636)
Epoch: [49][4920/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 1.9715 (2.1762)	Prec@1 41.406 (45.069)	Prec@5 78.906 (75.639)
Epoch: [49][4930/14090]	Time 0.863 (0.766)	Data 0.001 (0.002)	Loss 2.2799 (2.1764)	Prec@1 40.625 (45.068)	Prec@5 75.000 (75.637)
Epoch: [49][4940/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 2.2381 (2.1766)	Prec@1 39.844 (45.063)	Prec@5 76.562 (75.634)
Epoch: [49][4950/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.0666 (2.1767)	Prec@1 46.875 (45.060)	Prec@5 80.469 (75.636)
Epoch: [49][4960/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 2.2677 (2.1767)	Prec@1 43.750 (45.060)	Prec@5 75.781 (75.636)
Epoch: [49][4970/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.3291 (2.1766)	Prec@1 42.969 (45.061)	Prec@5 71.094 (75.637)
Epoch: [49][4980/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.5076 (2.1766)	Prec@1 39.062 (45.061)	Prec@5 69.531 (75.637)
Epoch: [49][4990/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 2.1637 (2.1767)	Prec@1 42.188 (45.058)	Prec@5 75.781 (75.634)
Epoch: [49][5000/14090]	Time 0.835 (0.766)	Data 0.001 (0.002)	Loss 2.4867 (2.1768)	Prec@1 36.719 (45.054)	Prec@5 73.438 (75.634)
Epoch: [49][5010/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 2.3927 (2.1770)	Prec@1 43.750 (45.053)	Prec@5 70.312 (75.630)
Epoch: [49][5020/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 2.4438 (2.1771)	Prec@1 39.062 (45.048)	Prec@5 77.344 (75.629)
Epoch: [49][5030/14090]	Time 0.727 (0.766)	Data 0.001 (0.002)	Loss 2.2877 (2.1771)	Prec@1 42.188 (45.047)	Prec@5 72.656 (75.630)
Epoch: [49][5040/14090]	Time 0.733 (0.766)	Data 0.003 (0.002)	Loss 2.1066 (2.1770)	Prec@1 42.188 (45.046)	Prec@5 74.219 (75.629)
Epoch: [49][5050/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 2.0535 (2.1770)	Prec@1 46.875 (45.049)	Prec@5 78.125 (75.627)
Epoch: [49][5060/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.1089 (2.1772)	Prec@1 48.438 (45.045)	Prec@5 76.562 (75.623)
Epoch: [49][5070/14090]	Time 0.874 (0.766)	Data 0.001 (0.002)	Loss 2.2109 (2.1773)	Prec@1 43.750 (45.044)	Prec@5 73.438 (75.621)
Epoch: [49][5080/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.1114 (2.1773)	Prec@1 50.781 (45.048)	Prec@5 73.438 (75.623)
Epoch: [49][5090/14090]	Time 0.774 (0.766)	Data 0.001 (0.002)	Loss 2.2316 (2.1774)	Prec@1 50.781 (45.046)	Prec@5 75.781 (75.621)
Epoch: [49][5100/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.0825 (2.1774)	Prec@1 42.969 (45.042)	Prec@5 78.906 (75.621)
Epoch: [49][5110/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 1.8514 (2.1773)	Prec@1 52.344 (45.047)	Prec@5 80.469 (75.627)
Epoch: [49][5120/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 2.2569 (2.1773)	Prec@1 42.188 (45.044)	Prec@5 76.562 (75.627)
Epoch: [49][5130/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.0876 (2.1774)	Prec@1 50.000 (45.041)	Prec@5 75.781 (75.626)
Epoch: [49][5140/14090]	Time 0.839 (0.766)	Data 0.001 (0.002)	Loss 2.0685 (2.1775)	Prec@1 46.094 (45.040)	Prec@5 78.906 (75.626)
Epoch: [49][5150/14090]	Time 0.724 (0.766)	Data 0.001 (0.002)	Loss 1.8854 (2.1775)	Prec@1 50.781 (45.041)	Prec@5 81.250 (75.628)
Epoch: [49][5160/14090]	Time 0.761 (0.766)	Data 0.001 (0.002)	Loss 2.2377 (2.1776)	Prec@1 46.875 (45.038)	Prec@5 72.656 (75.626)
Epoch: [49][5170/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 2.0982 (2.1778)	Prec@1 49.219 (45.037)	Prec@5 75.000 (75.621)
Epoch: [49][5180/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 2.0535 (2.1779)	Prec@1 51.562 (45.034)	Prec@5 78.125 (75.618)
Epoch: [49][5190/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.2925 (2.1779)	Prec@1 42.969 (45.036)	Prec@5 74.219 (75.619)
Epoch: [49][5200/14090]	Time 0.760 (0.766)	Data 0.003 (0.002)	Loss 1.7976 (2.1777)	Prec@1 53.906 (45.040)	Prec@5 85.156 (75.626)
Epoch: [49][5210/14090]	Time 0.894 (0.766)	Data 0.001 (0.002)	Loss 2.1205 (2.1778)	Prec@1 45.312 (45.039)	Prec@5 80.469 (75.626)
Epoch: [49][5220/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.6829 (2.1780)	Prec@1 33.594 (45.037)	Prec@5 60.156 (75.624)
Epoch: [49][5230/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 2.3346 (2.1780)	Prec@1 39.844 (45.039)	Prec@5 73.438 (75.625)
Epoch: [49][5240/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.3903 (2.1782)	Prec@1 40.625 (45.032)	Prec@5 68.750 (75.621)
Epoch: [49][5250/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.2533 (2.1782)	Prec@1 44.531 (45.029)	Prec@5 71.875 (75.619)
Epoch: [49][5260/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.1731 (2.1782)	Prec@1 45.312 (45.028)	Prec@5 75.781 (75.618)
Epoch: [49][5270/14090]	Time 0.769 (0.766)	Data 0.001 (0.002)	Loss 2.1634 (2.1782)	Prec@1 46.094 (45.025)	Prec@5 78.125 (75.619)
Epoch: [49][5280/14090]	Time 0.904 (0.766)	Data 0.001 (0.002)	Loss 2.2932 (2.1783)	Prec@1 45.312 (45.025)	Prec@5 71.094 (75.617)
Epoch: [49][5290/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.2347 (2.1781)	Prec@1 50.781 (45.025)	Prec@5 74.219 (75.619)
Epoch: [49][5300/14090]	Time 0.764 (0.766)	Data 0.001 (0.002)	Loss 2.1841 (2.1782)	Prec@1 41.406 (45.025)	Prec@5 75.000 (75.615)
Epoch: [49][5310/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 2.5111 (2.1782)	Prec@1 42.969 (45.025)	Prec@5 71.875 (75.618)
Epoch: [49][5320/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 2.2348 (2.1782)	Prec@1 39.062 (45.022)	Prec@5 75.000 (75.618)
Epoch: [49][5330/14090]	Time 0.722 (0.766)	Data 0.001 (0.002)	Loss 2.1659 (2.1780)	Prec@1 46.094 (45.025)	Prec@5 73.438 (75.621)
Epoch: [49][5340/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 1.9013 (2.1779)	Prec@1 46.875 (45.027)	Prec@5 81.250 (75.624)
Epoch: [49][5350/14090]	Time 0.916 (0.766)	Data 0.001 (0.002)	Loss 2.2302 (2.1779)	Prec@1 41.406 (45.025)	Prec@5 74.219 (75.625)
Epoch: [49][5360/14090]	Time 0.723 (0.766)	Data 0.001 (0.002)	Loss 2.3831 (2.1778)	Prec@1 38.281 (45.023)	Prec@5 71.875 (75.624)
Epoch: [49][5370/14090]	Time 0.768 (0.766)	Data 0.001 (0.002)	Loss 2.4272 (2.1778)	Prec@1 36.719 (45.023)	Prec@5 69.531 (75.623)
Epoch: [49][5380/14090]	Time 0.764 (0.766)	Data 0.001 (0.002)	Loss 2.2097 (2.1777)	Prec@1 46.094 (45.024)	Prec@5 74.219 (75.626)
Epoch: [49][5390/14090]	Time 0.763 (0.766)	Data 0.001 (0.002)	Loss 2.2511 (2.1776)	Prec@1 44.531 (45.024)	Prec@5 73.438 (75.626)
Epoch: [49][5400/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.1793 (2.1777)	Prec@1 43.750 (45.022)	Prec@5 78.906 (75.626)
Epoch: [49][5410/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.0854 (2.1777)	Prec@1 45.312 (45.022)	Prec@5 71.875 (75.624)
Epoch: [49][5420/14090]	Time 0.874 (0.766)	Data 0.001 (0.002)	Loss 2.1725 (2.1777)	Prec@1 47.656 (45.023)	Prec@5 74.219 (75.623)
Epoch: [49][5430/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.1960 (2.1777)	Prec@1 46.094 (45.020)	Prec@5 75.000 (75.622)
Epoch: [49][5440/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.0300 (2.1777)	Prec@1 50.000 (45.019)	Prec@5 75.781 (75.622)
Epoch: [49][5450/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 2.6133 (2.1780)	Prec@1 39.844 (45.013)	Prec@5 64.844 (75.616)
Epoch: [49][5460/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.2251 (2.1780)	Prec@1 43.750 (45.008)	Prec@5 75.781 (75.615)
Epoch: [49][5470/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 2.0559 (2.1780)	Prec@1 46.094 (45.009)	Prec@5 82.812 (75.615)
Epoch: [49][5480/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.1245 (2.1779)	Prec@1 49.219 (45.012)	Prec@5 75.781 (75.618)
Epoch: [49][5490/14090]	Time 0.854 (0.766)	Data 0.001 (0.002)	Loss 2.5301 (2.1780)	Prec@1 39.062 (45.006)	Prec@5 71.875 (75.619)
Epoch: [49][5500/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.3342 (2.1780)	Prec@1 43.750 (45.005)	Prec@5 71.875 (75.617)
Epoch: [49][5510/14090]	Time 0.728 (0.766)	Data 0.001 (0.002)	Loss 2.1688 (2.1780)	Prec@1 42.188 (45.003)	Prec@5 78.125 (75.618)
Epoch: [49][5520/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 2.0413 (2.1779)	Prec@1 46.875 (45.002)	Prec@5 80.469 (75.619)
Epoch: [49][5530/14090]	Time 0.761 (0.766)	Data 0.001 (0.002)	Loss 2.0260 (2.1780)	Prec@1 50.000 (45.002)	Prec@5 78.906 (75.618)
Epoch: [49][5540/14090]	Time 0.763 (0.766)	Data 0.001 (0.002)	Loss 2.1783 (2.1780)	Prec@1 42.188 (45.000)	Prec@5 80.469 (75.618)
Epoch: [49][5550/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 2.0848 (2.1780)	Prec@1 40.625 (44.999)	Prec@5 76.562 (75.620)
Epoch: [49][5560/14090]	Time 0.906 (0.766)	Data 0.001 (0.002)	Loss 1.9430 (2.1778)	Prec@1 51.562 (45.000)	Prec@5 76.562 (75.623)
Epoch: [49][5570/14090]	Time 0.773 (0.766)	Data 0.001 (0.002)	Loss 2.1945 (2.1779)	Prec@1 48.438 (44.998)	Prec@5 79.688 (75.622)
Epoch: [49][5580/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 2.2141 (2.1781)	Prec@1 49.219 (44.996)	Prec@5 78.125 (75.619)
Epoch: [49][5590/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.1289 (2.1781)	Prec@1 41.406 (44.997)	Prec@5 75.000 (75.621)
Epoch: [49][5600/14090]	Time 0.725 (0.766)	Data 0.001 (0.002)	Loss 2.0935 (2.1780)	Prec@1 42.188 (44.997)	Prec@5 80.469 (75.623)
Epoch: [49][5610/14090]	Time 0.763 (0.766)	Data 0.001 (0.002)	Loss 2.1979 (2.1781)	Prec@1 46.875 (44.997)	Prec@5 75.781 (75.621)
Epoch: [49][5620/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.2005 (2.1781)	Prec@1 45.312 (44.995)	Prec@5 75.781 (75.622)
Epoch: [49][5630/14090]	Time 0.896 (0.766)	Data 0.001 (0.002)	Loss 2.5217 (2.1782)	Prec@1 33.594 (44.993)	Prec@5 68.750 (75.621)
Epoch: [49][5640/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.3343 (2.1781)	Prec@1 40.625 (44.993)	Prec@5 76.562 (75.621)
Epoch: [49][5650/14090]	Time 0.761 (0.766)	Data 0.001 (0.002)	Loss 2.0617 (2.1782)	Prec@1 50.000 (44.995)	Prec@5 75.781 (75.619)
Epoch: [49][5660/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.3573 (2.1782)	Prec@1 37.500 (44.990)	Prec@5 71.875 (75.619)
Epoch: [49][5670/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 2.1742 (2.1781)	Prec@1 42.969 (44.990)	Prec@5 77.344 (75.621)
Epoch: [49][5680/14090]	Time 0.743 (0.766)	Data 0.004 (0.002)	Loss 2.0384 (2.1781)	Prec@1 49.219 (44.992)	Prec@5 77.344 (75.621)
Epoch: [49][5690/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 2.0179 (2.1780)	Prec@1 50.000 (44.995)	Prec@5 80.469 (75.621)
Epoch: [49][5700/14090]	Time 0.874 (0.766)	Data 0.001 (0.002)	Loss 2.2371 (2.1780)	Prec@1 42.969 (44.996)	Prec@5 75.781 (75.621)
Epoch: [49][5710/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.3573 (2.1781)	Prec@1 42.188 (44.996)	Prec@5 77.344 (75.621)
Epoch: [49][5720/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 2.2062 (2.1780)	Prec@1 43.750 (44.999)	Prec@5 71.875 (75.625)
Epoch: [49][5730/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.2442 (2.1778)	Prec@1 44.531 (45.004)	Prec@5 71.875 (75.628)
Epoch: [49][5740/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.2743 (2.1777)	Prec@1 44.531 (45.004)	Prec@5 72.656 (75.627)
Epoch: [49][5750/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.2100 (2.1776)	Prec@1 48.438 (45.010)	Prec@5 77.344 (75.630)
Epoch: [49][5760/14090]	Time 0.779 (0.766)	Data 0.001 (0.002)	Loss 2.1658 (2.1776)	Prec@1 50.781 (45.009)	Prec@5 76.562 (75.633)
Epoch: [49][5770/14090]	Time 0.878 (0.766)	Data 0.001 (0.002)	Loss 2.1510 (2.1776)	Prec@1 47.656 (45.006)	Prec@5 75.781 (75.635)
Epoch: [49][5780/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 2.3026 (2.1776)	Prec@1 44.531 (45.007)	Prec@5 76.562 (75.637)
Epoch: [49][5790/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 2.2322 (2.1776)	Prec@1 44.531 (45.005)	Prec@5 76.562 (75.639)
Epoch: [49][5800/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 2.1530 (2.1776)	Prec@1 41.406 (45.002)	Prec@5 71.875 (75.636)
Epoch: [49][5810/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 2.5056 (2.1778)	Prec@1 40.625 (44.995)	Prec@5 68.750 (75.631)
Epoch: [49][5820/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 2.0889 (2.1778)	Prec@1 46.875 (44.997)	Prec@5 75.781 (75.633)
Epoch: [49][5830/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.0092 (2.1778)	Prec@1 48.438 (44.996)	Prec@5 76.562 (75.631)
Epoch: [49][5840/14090]	Time 0.889 (0.766)	Data 0.001 (0.002)	Loss 2.0360 (2.1778)	Prec@1 51.562 (44.999)	Prec@5 75.781 (75.631)
Epoch: [49][5850/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.3463 (2.1779)	Prec@1 40.625 (45.000)	Prec@5 72.656 (75.628)
Epoch: [49][5860/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 2.2538 (2.1779)	Prec@1 45.312 (45.000)	Prec@5 75.781 (75.630)
Epoch: [49][5870/14090]	Time 0.724 (0.766)	Data 0.001 (0.002)	Loss 2.2598 (2.1779)	Prec@1 46.094 (44.999)	Prec@5 77.344 (75.630)
Epoch: [49][5880/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.0245 (2.1778)	Prec@1 50.781 (45.003)	Prec@5 78.906 (75.631)
Epoch: [49][5890/14090]	Time 0.723 (0.766)	Data 0.001 (0.002)	Loss 2.1838 (2.1778)	Prec@1 45.312 (45.005)	Prec@5 77.344 (75.634)
Epoch: [49][5900/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 1.9737 (2.1775)	Prec@1 51.562 (45.012)	Prec@5 79.688 (75.637)
Epoch: [49][5910/14090]	Time 0.908 (0.766)	Data 0.001 (0.002)	Loss 2.0090 (2.1776)	Prec@1 42.188 (45.012)	Prec@5 80.469 (75.636)
Epoch: [49][5920/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 2.4368 (2.1778)	Prec@1 43.750 (45.010)	Prec@5 69.531 (75.631)
Epoch: [49][5930/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 2.3057 (2.1779)	Prec@1 41.406 (45.007)	Prec@5 74.219 (75.630)
Epoch: [49][5940/14090]	Time 0.761 (0.766)	Data 0.001 (0.002)	Loss 2.3896 (2.1780)	Prec@1 38.281 (45.007)	Prec@5 68.750 (75.630)
Epoch: [49][5950/14090]	Time 0.727 (0.766)	Data 0.001 (0.002)	Loss 2.1440 (2.1780)	Prec@1 46.094 (45.004)	Prec@5 75.000 (75.629)
Epoch: [49][5960/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.3620 (2.1780)	Prec@1 40.625 (45.002)	Prec@5 73.438 (75.630)
Epoch: [49][5970/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 2.2360 (2.1781)	Prec@1 42.188 (45.004)	Prec@5 72.656 (75.628)
Epoch: [49][5980/14090]	Time 0.872 (0.766)	Data 0.001 (0.002)	Loss 2.1024 (2.1781)	Prec@1 43.750 (45.005)	Prec@5 74.219 (75.627)
Epoch: [49][5990/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.0246 (2.1781)	Prec@1 46.875 (45.002)	Prec@5 78.125 (75.629)
Epoch: [49][6000/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 1.9259 (2.1780)	Prec@1 50.000 (45.003)	Prec@5 81.250 (75.631)
Epoch: [49][6010/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 2.0260 (2.1780)	Prec@1 48.438 (45.001)	Prec@5 79.688 (75.631)
Epoch: [49][6020/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.2286 (2.1781)	Prec@1 46.094 (45.001)	Prec@5 76.562 (75.629)
Epoch: [49][6030/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.1382 (2.1779)	Prec@1 42.188 (45.003)	Prec@5 79.688 (75.630)
Epoch: [49][6040/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 1.9596 (2.1779)	Prec@1 47.656 (45.004)	Prec@5 76.562 (75.630)
Epoch: [49][6050/14090]	Time 0.880 (0.766)	Data 0.001 (0.002)	Loss 2.2823 (2.1779)	Prec@1 45.312 (45.003)	Prec@5 77.344 (75.630)
Epoch: [49][6060/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.1608 (2.1779)	Prec@1 46.875 (45.005)	Prec@5 79.688 (75.631)
Epoch: [49][6070/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.1559 (2.1778)	Prec@1 47.656 (45.006)	Prec@5 78.125 (75.633)
Epoch: [49][6080/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.1172 (2.1778)	Prec@1 40.625 (45.005)	Prec@5 79.688 (75.634)
Epoch: [49][6090/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 1.7952 (2.1776)	Prec@1 50.781 (45.010)	Prec@5 79.688 (75.638)
Epoch: [49][6100/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 2.4729 (2.1775)	Prec@1 41.406 (45.012)	Prec@5 71.094 (75.639)
Epoch: [49][6110/14090]	Time 0.785 (0.766)	Data 0.001 (0.002)	Loss 2.0309 (2.1775)	Prec@1 52.344 (45.014)	Prec@5 75.781 (75.637)
Epoch: [49][6120/14090]	Time 0.902 (0.766)	Data 0.001 (0.002)	Loss 2.1287 (2.1775)	Prec@1 46.094 (45.018)	Prec@5 78.125 (75.638)
Epoch: [49][6130/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 2.4066 (2.1775)	Prec@1 46.094 (45.018)	Prec@5 67.969 (75.637)
Epoch: [49][6140/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 1.9052 (2.1774)	Prec@1 46.875 (45.020)	Prec@5 80.469 (75.638)
Epoch: [49][6150/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 2.2602 (2.1774)	Prec@1 49.219 (45.021)	Prec@5 75.781 (75.638)
Epoch: [49][6160/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.0149 (2.1773)	Prec@1 54.688 (45.025)	Prec@5 78.906 (75.638)
Epoch: [49][6170/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.2635 (2.1775)	Prec@1 41.406 (45.021)	Prec@5 75.781 (75.635)
Epoch: [49][6180/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.2728 (2.1777)	Prec@1 45.312 (45.017)	Prec@5 73.438 (75.633)
Epoch: [49][6190/14090]	Time 0.848 (0.766)	Data 0.001 (0.002)	Loss 2.2242 (2.1776)	Prec@1 43.750 (45.017)	Prec@5 75.000 (75.634)
Epoch: [49][6200/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.4272 (2.1777)	Prec@1 45.312 (45.019)	Prec@5 70.312 (75.631)
Epoch: [49][6210/14090]	Time 0.769 (0.766)	Data 0.001 (0.002)	Loss 2.2841 (2.1777)	Prec@1 42.969 (45.019)	Prec@5 74.219 (75.631)
Epoch: [49][6220/14090]	Time 0.781 (0.766)	Data 0.001 (0.002)	Loss 2.2699 (2.1777)	Prec@1 46.875 (45.018)	Prec@5 70.312 (75.629)
Epoch: [49][6230/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 1.9331 (2.1777)	Prec@1 50.781 (45.018)	Prec@5 78.125 (75.628)
Epoch: [49][6240/14090]	Time 0.772 (0.766)	Data 0.001 (0.002)	Loss 2.4628 (2.1778)	Prec@1 36.719 (45.015)	Prec@5 70.312 (75.624)
Epoch: [49][6250/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 2.1955 (2.1778)	Prec@1 43.750 (45.016)	Prec@5 74.219 (75.622)
Epoch: [49][6260/14090]	Time 0.833 (0.766)	Data 0.001 (0.002)	Loss 2.6615 (2.1779)	Prec@1 31.250 (45.013)	Prec@5 66.406 (75.621)
Epoch: [49][6270/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.1790 (2.1780)	Prec@1 50.000 (45.011)	Prec@5 75.781 (75.623)
Epoch: [49][6280/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 1.8425 (2.1780)	Prec@1 51.562 (45.011)	Prec@5 85.938 (75.621)
Epoch: [49][6290/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 2.3644 (2.1780)	Prec@1 39.062 (45.014)	Prec@5 74.219 (75.623)
Epoch: [49][6300/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.3524 (2.1780)	Prec@1 40.625 (45.012)	Prec@5 71.094 (75.620)
Epoch: [49][6310/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.3040 (2.1781)	Prec@1 43.750 (45.012)	Prec@5 74.219 (75.616)
Epoch: [49][6320/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 1.8299 (2.1781)	Prec@1 50.000 (45.013)	Prec@5 86.719 (75.616)
Epoch: [49][6330/14090]	Time 0.872 (0.766)	Data 0.001 (0.002)	Loss 2.0555 (2.1781)	Prec@1 49.219 (45.011)	Prec@5 74.219 (75.616)
Epoch: [49][6340/14090]	Time 0.722 (0.766)	Data 0.001 (0.002)	Loss 2.1298 (2.1781)	Prec@1 50.000 (45.012)	Prec@5 76.562 (75.617)
Epoch: [49][6350/14090]	Time 0.766 (0.766)	Data 0.001 (0.002)	Loss 2.4867 (2.1781)	Prec@1 40.625 (45.012)	Prec@5 68.750 (75.616)
Epoch: [49][6360/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 2.0122 (2.1781)	Prec@1 49.219 (45.013)	Prec@5 78.906 (75.616)
Epoch: [49][6370/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 2.1050 (2.1782)	Prec@1 49.219 (45.013)	Prec@5 75.000 (75.614)
Epoch: [49][6380/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 2.2118 (2.1782)	Prec@1 46.875 (45.014)	Prec@5 75.781 (75.613)
Epoch: [49][6390/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 1.9898 (2.1782)	Prec@1 45.312 (45.014)	Prec@5 81.250 (75.615)
Epoch: [49][6400/14090]	Time 0.884 (0.766)	Data 0.001 (0.002)	Loss 2.1587 (2.1781)	Prec@1 50.781 (45.015)	Prec@5 76.562 (75.616)
Epoch: [49][6410/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 2.1979 (2.1781)	Prec@1 51.562 (45.016)	Prec@5 75.000 (75.616)
Epoch: [49][6420/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 1.8861 (2.1780)	Prec@1 53.125 (45.017)	Prec@5 81.250 (75.619)
Epoch: [49][6430/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 2.2797 (2.1780)	Prec@1 41.406 (45.017)	Prec@5 76.562 (75.620)
Epoch: [49][6440/14090]	Time 0.767 (0.766)	Data 0.001 (0.002)	Loss 2.1911 (2.1779)	Prec@1 40.625 (45.018)	Prec@5 73.438 (75.619)
Epoch: [49][6450/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 2.2059 (2.1780)	Prec@1 43.750 (45.017)	Prec@5 75.781 (75.617)
Epoch: [49][6460/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 2.3375 (2.1780)	Prec@1 40.625 (45.017)	Prec@5 75.781 (75.620)
Epoch: [49][6470/14090]	Time 0.872 (0.766)	Data 0.001 (0.002)	Loss 2.3044 (2.1781)	Prec@1 42.188 (45.011)	Prec@5 70.312 (75.617)
Epoch: [49][6480/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.1198 (2.1783)	Prec@1 41.406 (45.008)	Prec@5 82.031 (75.614)
Epoch: [49][6490/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 1.9827 (2.1782)	Prec@1 48.438 (45.008)	Prec@5 80.469 (75.614)
Epoch: [49][6500/14090]	Time 0.719 (0.766)	Data 0.001 (0.002)	Loss 2.1535 (2.1782)	Prec@1 46.094 (45.010)	Prec@5 75.000 (75.614)
Epoch: [49][6510/14090]	Time 0.723 (0.766)	Data 0.001 (0.002)	Loss 2.3456 (2.1782)	Prec@1 39.062 (45.009)	Prec@5 70.312 (75.612)
Epoch: [49][6520/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 1.8480 (2.1780)	Prec@1 53.125 (45.011)	Prec@5 76.562 (75.611)
Epoch: [49][6530/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 2.2369 (2.1781)	Prec@1 46.094 (45.012)	Prec@5 79.688 (75.610)
Epoch: [49][6540/14090]	Time 0.850 (0.766)	Data 0.001 (0.002)	Loss 2.1570 (2.1781)	Prec@1 43.750 (45.014)	Prec@5 74.219 (75.612)
Epoch: [49][6550/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 1.9138 (2.1780)	Prec@1 50.000 (45.015)	Prec@5 78.125 (75.615)
Epoch: [49][6560/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.3465 (2.1780)	Prec@1 47.656 (45.012)	Prec@5 72.656 (75.613)
Epoch: [49][6570/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 2.2540 (2.1780)	Prec@1 43.750 (45.012)	Prec@5 77.344 (75.616)
Epoch: [49][6580/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 2.1557 (2.1780)	Prec@1 50.781 (45.010)	Prec@5 72.656 (75.614)
Epoch: [49][6590/14090]	Time 0.768 (0.766)	Data 0.001 (0.002)	Loss 2.0545 (2.1781)	Prec@1 50.000 (45.010)	Prec@5 78.906 (75.612)
Epoch: [49][6600/14090]	Time 0.766 (0.766)	Data 0.001 (0.002)	Loss 2.2717 (2.1781)	Prec@1 45.312 (45.010)	Prec@5 75.000 (75.613)
Epoch: [49][6610/14090]	Time 0.880 (0.766)	Data 0.001 (0.002)	Loss 1.8260 (2.1781)	Prec@1 52.344 (45.010)	Prec@5 78.906 (75.613)
Epoch: [49][6620/14090]	Time 0.768 (0.766)	Data 0.001 (0.002)	Loss 1.8603 (2.1779)	Prec@1 50.781 (45.011)	Prec@5 85.938 (75.614)
Epoch: [49][6630/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.1089 (2.1779)	Prec@1 46.094 (45.012)	Prec@5 75.781 (75.614)
Epoch: [49][6640/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 2.3170 (2.1780)	Prec@1 43.750 (45.010)	Prec@5 75.000 (75.611)
Epoch: [49][6650/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.1005 (2.1781)	Prec@1 46.094 (45.009)	Prec@5 79.688 (75.611)
Epoch: [49][6660/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 2.2768 (2.1781)	Prec@1 42.188 (45.009)	Prec@5 74.219 (75.610)
Epoch: [49][6670/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.0689 (2.1781)	Prec@1 46.094 (45.010)	Prec@5 77.344 (75.610)
Epoch: [49][6680/14090]	Time 0.896 (0.766)	Data 0.001 (0.002)	Loss 2.0326 (2.1780)	Prec@1 46.094 (45.013)	Prec@5 77.344 (75.612)
Epoch: [49][6690/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 1.9201 (2.1781)	Prec@1 48.438 (45.011)	Prec@5 82.031 (75.612)
Epoch: [49][6700/14090]	Time 0.761 (0.766)	Data 0.001 (0.002)	Loss 2.1800 (2.1782)	Prec@1 44.531 (45.010)	Prec@5 75.781 (75.610)
Epoch: [49][6710/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.1981 (2.1780)	Prec@1 44.531 (45.012)	Prec@5 72.656 (75.612)
Epoch: [49][6720/14090]	Time 0.770 (0.766)	Data 0.001 (0.002)	Loss 2.1741 (2.1780)	Prec@1 45.312 (45.011)	Prec@5 77.344 (75.612)
Epoch: [49][6730/14090]	Time 0.767 (0.766)	Data 0.001 (0.002)	Loss 2.2156 (2.1780)	Prec@1 42.969 (45.010)	Prec@5 73.438 (75.612)
Epoch: [49][6740/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 2.1171 (2.1781)	Prec@1 42.188 (45.008)	Prec@5 79.688 (75.612)
Epoch: [49][6750/14090]	Time 0.861 (0.766)	Data 0.001 (0.002)	Loss 2.0595 (2.1781)	Prec@1 44.531 (45.007)	Prec@5 78.125 (75.611)
Epoch: [49][6760/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 2.1182 (2.1783)	Prec@1 46.094 (45.003)	Prec@5 78.125 (75.608)
Epoch: [49][6770/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 2.1504 (2.1784)	Prec@1 48.438 (45.001)	Prec@5 77.344 (75.606)
Epoch: [49][6780/14090]	Time 0.763 (0.766)	Data 0.001 (0.002)	Loss 2.2863 (2.1784)	Prec@1 42.188 (45.001)	Prec@5 69.531 (75.605)
Epoch: [49][6790/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.2023 (2.1784)	Prec@1 46.094 (45.004)	Prec@5 77.344 (75.605)
Epoch: [49][6800/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.1015 (2.1784)	Prec@1 48.438 (45.008)	Prec@5 78.906 (75.606)
Epoch: [49][6810/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 2.2388 (2.1785)	Prec@1 48.438 (45.007)	Prec@5 73.438 (75.603)
Epoch: [49][6820/14090]	Time 0.874 (0.766)	Data 0.001 (0.002)	Loss 1.9605 (2.1784)	Prec@1 46.875 (45.009)	Prec@5 80.469 (75.605)
Epoch: [49][6830/14090]	Time 0.774 (0.766)	Data 0.001 (0.002)	Loss 2.2092 (2.1785)	Prec@1 41.406 (45.008)	Prec@5 74.219 (75.604)
Epoch: [49][6840/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 2.2417 (2.1786)	Prec@1 45.312 (45.004)	Prec@5 75.000 (75.602)
Epoch: [49][6850/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 2.1290 (2.1786)	Prec@1 42.188 (45.002)	Prec@5 75.781 (75.602)
Epoch: [49][6860/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 2.1759 (2.1787)	Prec@1 42.969 (44.999)	Prec@5 75.781 (75.601)
Epoch: [49][6870/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 2.3233 (2.1787)	Prec@1 42.969 (45.001)	Prec@5 71.875 (75.598)
Epoch: [49][6880/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 2.2174 (2.1788)	Prec@1 44.531 (45.001)	Prec@5 73.438 (75.600)
Epoch: [49][6890/14090]	Time 0.885 (0.766)	Data 0.001 (0.002)	Loss 2.3669 (2.1788)	Prec@1 47.656 (45.000)	Prec@5 68.750 (75.600)
Epoch: [49][6900/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.1353 (2.1788)	Prec@1 48.438 (45.000)	Prec@5 75.000 (75.598)
Epoch: [49][6910/14090]	Time 0.726 (0.766)	Data 0.001 (0.002)	Loss 2.1016 (2.1789)	Prec@1 44.531 (44.996)	Prec@5 75.781 (75.597)
Epoch: [49][6920/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 1.9309 (2.1789)	Prec@1 51.562 (44.996)	Prec@5 81.250 (75.597)
Epoch: [49][6930/14090]	Time 0.727 (0.766)	Data 0.001 (0.002)	Loss 2.0291 (2.1789)	Prec@1 50.781 (44.995)	Prec@5 77.344 (75.597)
Epoch: [49][6940/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 1.7556 (2.1790)	Prec@1 60.938 (44.996)	Prec@5 82.031 (75.596)
Epoch: [49][6950/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.0598 (2.1789)	Prec@1 46.875 (44.998)	Prec@5 74.219 (75.595)
Epoch: [49][6960/14090]	Time 0.902 (0.766)	Data 0.001 (0.002)	Loss 2.0502 (2.1789)	Prec@1 51.562 (45.000)	Prec@5 79.688 (75.596)
Epoch: [49][6970/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.5633 (2.1790)	Prec@1 38.281 (44.994)	Prec@5 67.969 (75.592)
Epoch: [49][6980/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 2.1270 (2.1790)	Prec@1 42.969 (44.995)	Prec@5 78.125 (75.592)
Epoch: [49][6990/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.3298 (2.1790)	Prec@1 40.625 (44.994)	Prec@5 68.750 (75.592)
Epoch: [49][7000/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 2.1432 (2.1790)	Prec@1 42.969 (44.993)	Prec@5 75.000 (75.589)
Epoch: [49][7010/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 1.9214 (2.1791)	Prec@1 45.312 (44.991)	Prec@5 80.469 (75.589)
Epoch: [49][7020/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.1987 (2.1791)	Prec@1 44.531 (44.990)	Prec@5 76.562 (75.589)
Epoch: [49][7030/14090]	Time 0.879 (0.766)	Data 0.001 (0.002)	Loss 2.4515 (2.1792)	Prec@1 49.219 (44.991)	Prec@5 71.094 (75.585)
Epoch: [49][7040/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.0734 (2.1791)	Prec@1 53.125 (44.994)	Prec@5 78.125 (75.587)
Epoch: [49][7050/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 1.9693 (2.1791)	Prec@1 48.438 (44.996)	Prec@5 78.125 (75.588)
Epoch: [49][7060/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 2.2507 (2.1791)	Prec@1 41.406 (44.996)	Prec@5 68.750 (75.588)
Epoch: [49][7070/14090]	Time 0.774 (0.766)	Data 0.001 (0.002)	Loss 2.1157 (2.1791)	Prec@1 48.438 (44.997)	Prec@5 77.344 (75.587)
Epoch: [49][7080/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 2.3688 (2.1792)	Prec@1 39.844 (44.995)	Prec@5 72.656 (75.588)
Epoch: [49][7090/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 2.0568 (2.1791)	Prec@1 48.438 (44.996)	Prec@5 78.125 (75.589)
Epoch: [49][7100/14090]	Time 1.016 (0.766)	Data 0.001 (0.002)	Loss 2.2366 (2.1791)	Prec@1 46.875 (44.995)	Prec@5 75.781 (75.587)
Epoch: [49][7110/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.4544 (2.1792)	Prec@1 43.750 (44.995)	Prec@5 69.531 (75.590)
Epoch: [49][7120/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.3080 (2.1792)	Prec@1 39.844 (44.994)	Prec@5 72.656 (75.588)
Epoch: [49][7130/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 2.2944 (2.1792)	Prec@1 43.750 (44.994)	Prec@5 72.656 (75.590)
Epoch: [49][7140/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 2.3412 (2.1792)	Prec@1 40.625 (44.990)	Prec@5 74.219 (75.588)
Epoch: [49][7150/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 2.1015 (2.1792)	Prec@1 47.656 (44.987)	Prec@5 79.688 (75.588)
Epoch: [49][7160/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.3495 (2.1793)	Prec@1 46.875 (44.985)	Prec@5 72.656 (75.587)
Epoch: [49][7170/14090]	Time 0.858 (0.766)	Data 0.001 (0.002)	Loss 2.1467 (2.1794)	Prec@1 46.094 (44.985)	Prec@5 75.781 (75.586)
Epoch: [49][7180/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.3591 (2.1794)	Prec@1 39.062 (44.985)	Prec@5 75.000 (75.586)
Epoch: [49][7190/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 1.9512 (2.1794)	Prec@1 47.656 (44.983)	Prec@5 79.688 (75.584)
Epoch: [49][7200/14090]	Time 0.769 (0.766)	Data 0.001 (0.002)	Loss 2.2378 (2.1794)	Prec@1 42.188 (44.982)	Prec@5 73.438 (75.585)
Epoch: [49][7210/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.5914 (2.1795)	Prec@1 38.281 (44.983)	Prec@5 67.188 (75.583)
Epoch: [49][7220/14090]	Time 0.726 (0.766)	Data 0.001 (0.002)	Loss 2.1997 (2.1795)	Prec@1 46.875 (44.984)	Prec@5 71.875 (75.582)
Epoch: [49][7230/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 2.3262 (2.1795)	Prec@1 39.844 (44.982)	Prec@5 75.781 (75.583)
Epoch: [49][7240/14090]	Time 0.925 (0.766)	Data 0.001 (0.002)	Loss 2.0371 (2.1795)	Prec@1 50.781 (44.984)	Prec@5 78.125 (75.584)
Epoch: [49][7250/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 2.5654 (2.1796)	Prec@1 36.719 (44.983)	Prec@5 71.875 (75.584)
Epoch: [49][7260/14090]	Time 0.751 (0.766)	Data 0.002 (0.002)	Loss 2.1537 (2.1798)	Prec@1 46.875 (44.979)	Prec@5 78.125 (75.580)
Epoch: [49][7270/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.1208 (2.1797)	Prec@1 50.000 (44.980)	Prec@5 75.781 (75.580)
Epoch: [49][7280/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 2.0023 (2.1798)	Prec@1 46.094 (44.981)	Prec@5 77.344 (75.579)
Epoch: [49][7290/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.4527 (2.1797)	Prec@1 40.625 (44.983)	Prec@5 68.750 (75.580)
Epoch: [49][7300/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.2325 (2.1798)	Prec@1 45.312 (44.985)	Prec@5 76.562 (75.579)
Epoch: [49][7310/14090]	Time 0.861 (0.766)	Data 0.001 (0.002)	Loss 2.3322 (2.1798)	Prec@1 42.969 (44.985)	Prec@5 71.094 (75.579)
Epoch: [49][7320/14090]	Time 0.725 (0.766)	Data 0.001 (0.002)	Loss 1.9822 (2.1797)	Prec@1 47.656 (44.988)	Prec@5 79.688 (75.582)
Epoch: [49][7330/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 1.9450 (2.1797)	Prec@1 51.562 (44.987)	Prec@5 78.125 (75.583)
Epoch: [49][7340/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 2.4178 (2.1796)	Prec@1 41.406 (44.987)	Prec@5 71.875 (75.582)
Epoch: [49][7350/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 2.1439 (2.1797)	Prec@1 46.094 (44.986)	Prec@5 74.219 (75.582)
Epoch: [49][7360/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.1272 (2.1796)	Prec@1 50.781 (44.988)	Prec@5 80.469 (75.584)
Epoch: [49][7370/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 2.3164 (2.1797)	Prec@1 39.844 (44.987)	Prec@5 76.562 (75.584)
Epoch: [49][7380/14090]	Time 0.884 (0.766)	Data 0.001 (0.002)	Loss 2.1176 (2.1796)	Prec@1 46.094 (44.989)	Prec@5 77.344 (75.583)
Epoch: [49][7390/14090]	Time 0.776 (0.766)	Data 0.001 (0.002)	Loss 2.1918 (2.1796)	Prec@1 50.000 (44.990)	Prec@5 75.000 (75.582)
Epoch: [49][7400/14090]	Time 0.727 (0.766)	Data 0.001 (0.002)	Loss 2.1014 (2.1796)	Prec@1 46.875 (44.988)	Prec@5 75.781 (75.582)
Epoch: [49][7410/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 2.0342 (2.1796)	Prec@1 50.781 (44.988)	Prec@5 81.250 (75.582)
Epoch: [49][7420/14090]	Time 0.723 (0.766)	Data 0.001 (0.002)	Loss 2.1875 (2.1797)	Prec@1 44.531 (44.988)	Prec@5 74.219 (75.580)
Epoch: [49][7430/14090]	Time 0.764 (0.766)	Data 0.001 (0.002)	Loss 2.0201 (2.1797)	Prec@1 49.219 (44.986)	Prec@5 81.250 (75.581)
Epoch: [49][7440/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.4509 (2.1797)	Prec@1 42.188 (44.989)	Prec@5 71.094 (75.579)
Epoch: [49][7450/14090]	Time 0.887 (0.766)	Data 0.001 (0.002)	Loss 2.3801 (2.1798)	Prec@1 43.750 (44.989)	Prec@5 68.750 (75.578)
Epoch: [49][7460/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 2.2680 (2.1798)	Prec@1 42.969 (44.990)	Prec@5 75.000 (75.579)
Epoch: [49][7470/14090]	Time 0.769 (0.766)	Data 0.002 (0.002)	Loss 2.3666 (2.1798)	Prec@1 45.312 (44.992)	Prec@5 69.531 (75.577)
Epoch: [49][7480/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 2.0983 (2.1798)	Prec@1 45.312 (44.992)	Prec@5 81.250 (75.575)
Epoch: [49][7490/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 1.8026 (2.1798)	Prec@1 57.812 (44.992)	Prec@5 82.031 (75.577)
Epoch: [49][7500/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 1.9404 (2.1799)	Prec@1 49.219 (44.992)	Prec@5 78.906 (75.576)
Epoch: [49][7510/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.4381 (2.1798)	Prec@1 39.062 (44.994)	Prec@5 75.781 (75.579)
Epoch: [49][7520/14090]	Time 0.901 (0.766)	Data 0.001 (0.002)	Loss 2.4301 (2.1796)	Prec@1 42.969 (44.995)	Prec@5 68.750 (75.581)
Epoch: [49][7530/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.0182 (2.1795)	Prec@1 51.562 (44.998)	Prec@5 76.562 (75.582)
Epoch: [49][7540/14090]	Time 0.723 (0.766)	Data 0.001 (0.002)	Loss 2.3103 (2.1795)	Prec@1 41.406 (44.998)	Prec@5 75.000 (75.583)
Epoch: [49][7550/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.4356 (2.1796)	Prec@1 35.938 (44.993)	Prec@5 64.062 (75.578)
Epoch: [49][7560/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 2.1241 (2.1797)	Prec@1 43.750 (44.990)	Prec@5 77.344 (75.578)
Epoch: [49][7570/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 2.1556 (2.1796)	Prec@1 43.750 (44.993)	Prec@5 80.469 (75.579)
Epoch: [49][7580/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.4629 (2.1797)	Prec@1 37.500 (44.991)	Prec@5 68.750 (75.579)
Epoch: [49][7590/14090]	Time 0.897 (0.766)	Data 0.001 (0.002)	Loss 2.1006 (2.1797)	Prec@1 44.531 (44.991)	Prec@5 79.688 (75.579)
Epoch: [49][7600/14090]	Time 0.721 (0.766)	Data 0.001 (0.002)	Loss 2.3187 (2.1798)	Prec@1 41.406 (44.990)	Prec@5 74.219 (75.577)
Epoch: [49][7610/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 2.0579 (2.1796)	Prec@1 52.344 (44.994)	Prec@5 77.344 (75.580)
Epoch: [49][7620/14090]	Time 0.719 (0.766)	Data 0.001 (0.002)	Loss 2.0881 (2.1796)	Prec@1 50.000 (44.997)	Prec@5 75.781 (75.580)
Epoch: [49][7630/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.1344 (2.1795)	Prec@1 42.188 (44.999)	Prec@5 79.688 (75.582)
Epoch: [49][7640/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 2.1217 (2.1795)	Prec@1 44.531 (45.000)	Prec@5 78.125 (75.583)
Epoch: [49][7650/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.1173 (2.1795)	Prec@1 43.750 (45.001)	Prec@5 78.906 (75.582)
Epoch: [49][7660/14090]	Time 0.857 (0.766)	Data 0.001 (0.002)	Loss 1.9556 (2.1796)	Prec@1 49.219 (44.999)	Prec@5 81.250 (75.580)
Epoch: [49][7670/14090]	Time 0.729 (0.765)	Data 0.001 (0.002)	Loss 1.9460 (2.1796)	Prec@1 50.781 (45.000)	Prec@5 79.688 (75.579)
Epoch: [49][7680/14090]	Time 0.759 (0.765)	Data 0.001 (0.002)	Loss 2.0761 (2.1795)	Prec@1 46.094 (45.004)	Prec@5 77.344 (75.582)
Epoch: [49][7690/14090]	Time 0.731 (0.765)	Data 0.001 (0.002)	Loss 2.2638 (2.1796)	Prec@1 42.188 (45.003)	Prec@5 74.219 (75.579)
Epoch: [49][7700/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.2409 (2.1797)	Prec@1 43.750 (45.004)	Prec@5 76.562 (75.578)
Epoch: [49][7710/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.2038 (2.1798)	Prec@1 46.094 (45.004)	Prec@5 72.656 (75.574)
Epoch: [49][7720/14090]	Time 0.722 (0.765)	Data 0.001 (0.001)	Loss 2.0543 (2.1798)	Prec@1 47.656 (45.004)	Prec@5 80.469 (75.573)
Epoch: [49][7730/14090]	Time 0.890 (0.765)	Data 0.001 (0.001)	Loss 1.8815 (2.1797)	Prec@1 54.688 (45.005)	Prec@5 83.594 (75.575)
Epoch: [49][7740/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.2019 (2.1798)	Prec@1 49.219 (45.003)	Prec@5 75.000 (75.575)
Epoch: [49][7750/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.1848 (2.1798)	Prec@1 44.531 (45.000)	Prec@5 75.781 (75.573)
Epoch: [49][7760/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.3122 (2.1799)	Prec@1 42.969 (45.002)	Prec@5 68.750 (75.572)
Epoch: [49][7770/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.1490 (2.1799)	Prec@1 45.312 (45.000)	Prec@5 82.812 (75.572)
Epoch: [49][7780/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.0541 (2.1800)	Prec@1 42.969 (45.000)	Prec@5 75.781 (75.572)
Epoch: [49][7790/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.1624 (2.1800)	Prec@1 46.875 (45.000)	Prec@5 79.688 (75.572)
Epoch: [49][7800/14090]	Time 0.876 (0.765)	Data 0.001 (0.001)	Loss 2.2133 (2.1799)	Prec@1 39.062 (45.000)	Prec@5 73.438 (75.574)
Epoch: [49][7810/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.1896 (2.1799)	Prec@1 40.625 (44.998)	Prec@5 73.438 (75.575)
Epoch: [49][7820/14090]	Time 0.720 (0.765)	Data 0.001 (0.001)	Loss 2.0656 (2.1798)	Prec@1 46.094 (44.998)	Prec@5 78.125 (75.576)
Epoch: [49][7830/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.2854 (2.1800)	Prec@1 42.188 (44.995)	Prec@5 72.656 (75.572)
Epoch: [49][7840/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.1091 (2.1800)	Prec@1 44.531 (44.992)	Prec@5 72.656 (75.570)
Epoch: [49][7850/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.2152 (2.1801)	Prec@1 41.406 (44.991)	Prec@5 81.250 (75.571)
Epoch: [49][7860/14090]	Time 0.768 (0.765)	Data 0.001 (0.001)	Loss 2.3132 (2.1801)	Prec@1 41.406 (44.989)	Prec@5 72.656 (75.571)
Epoch: [49][7870/14090]	Time 0.835 (0.765)	Data 0.001 (0.001)	Loss 2.2871 (2.1802)	Prec@1 44.531 (44.989)	Prec@5 75.781 (75.570)
Epoch: [49][7880/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.2979 (2.1802)	Prec@1 46.094 (44.989)	Prec@5 74.219 (75.570)
Epoch: [49][7890/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.2223 (2.1802)	Prec@1 39.844 (44.988)	Prec@5 75.000 (75.569)
Epoch: [49][7900/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.0036 (2.1803)	Prec@1 46.875 (44.986)	Prec@5 78.125 (75.569)
Epoch: [49][7910/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.1484 (2.1802)	Prec@1 42.969 (44.986)	Prec@5 76.562 (75.568)
Epoch: [49][7920/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.0878 (2.1801)	Prec@1 42.188 (44.989)	Prec@5 80.469 (75.573)
Epoch: [49][7930/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.2451 (2.1801)	Prec@1 48.438 (44.989)	Prec@5 71.875 (75.574)
Epoch: [49][7940/14090]	Time 0.884 (0.766)	Data 0.001 (0.001)	Loss 1.8617 (2.1801)	Prec@1 49.219 (44.988)	Prec@5 81.250 (75.573)
Epoch: [49][7950/14090]	Time 0.721 (0.765)	Data 0.001 (0.001)	Loss 2.2984 (2.1803)	Prec@1 43.750 (44.986)	Prec@5 74.219 (75.569)
Epoch: [49][7960/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.1875 (2.1803)	Prec@1 39.844 (44.988)	Prec@5 76.562 (75.569)
Epoch: [49][7970/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.2779 (2.1804)	Prec@1 40.625 (44.986)	Prec@5 77.344 (75.567)
Epoch: [49][7980/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.2683 (2.1804)	Prec@1 52.344 (44.986)	Prec@5 77.344 (75.567)
Epoch: [49][7990/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.3623 (2.1803)	Prec@1 41.406 (44.987)	Prec@5 75.000 (75.569)
Epoch: [49][8000/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.3626 (2.1803)	Prec@1 39.062 (44.988)	Prec@5 71.094 (75.571)
Epoch: [49][8010/14090]	Time 0.896 (0.765)	Data 0.001 (0.001)	Loss 2.0969 (2.1802)	Prec@1 50.781 (44.987)	Prec@5 76.562 (75.572)
Epoch: [49][8020/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.2390 (2.1802)	Prec@1 46.094 (44.987)	Prec@5 71.094 (75.572)
Epoch: [49][8030/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.1964 (2.1802)	Prec@1 46.094 (44.988)	Prec@5 75.781 (75.573)
Epoch: [49][8040/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 1.9916 (2.1803)	Prec@1 50.000 (44.987)	Prec@5 78.125 (75.571)
Epoch: [49][8050/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.1938 (2.1802)	Prec@1 46.094 (44.988)	Prec@5 75.781 (75.571)
Epoch: [49][8060/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.4189 (2.1803)	Prec@1 35.938 (44.986)	Prec@5 68.750 (75.570)
Epoch: [49][8070/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 2.4073 (2.1803)	Prec@1 43.750 (44.986)	Prec@5 71.094 (75.571)
Epoch: [49][8080/14090]	Time 0.902 (0.765)	Data 0.001 (0.001)	Loss 2.1983 (2.1801)	Prec@1 43.750 (44.988)	Prec@5 75.000 (75.573)
Epoch: [49][8090/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.5638 (2.1800)	Prec@1 45.312 (44.989)	Prec@5 65.625 (75.575)
Epoch: [49][8100/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.1025 (2.1801)	Prec@1 47.656 (44.990)	Prec@5 80.469 (75.574)
Epoch: [49][8110/14090]	Time 0.768 (0.765)	Data 0.001 (0.001)	Loss 2.1665 (2.1800)	Prec@1 40.625 (44.988)	Prec@5 74.219 (75.577)
Epoch: [49][8120/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.0261 (2.1799)	Prec@1 50.000 (44.989)	Prec@5 78.906 (75.579)
Epoch: [49][8130/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.2201 (2.1798)	Prec@1 42.969 (44.989)	Prec@5 72.656 (75.579)
Epoch: [49][8140/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.2792 (2.1798)	Prec@1 45.312 (44.989)	Prec@5 73.438 (75.579)
Epoch: [49][8150/14090]	Time 0.842 (0.765)	Data 0.001 (0.001)	Loss 2.1577 (2.1797)	Prec@1 42.969 (44.991)	Prec@5 75.000 (75.582)
Epoch: [49][8160/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.1084 (2.1797)	Prec@1 48.438 (44.992)	Prec@5 78.906 (75.582)
Epoch: [49][8170/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.3590 (2.1798)	Prec@1 44.531 (44.989)	Prec@5 68.750 (75.579)
Epoch: [49][8180/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.1163 (2.1798)	Prec@1 46.875 (44.988)	Prec@5 75.000 (75.579)
Epoch: [49][8190/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.0974 (2.1799)	Prec@1 47.656 (44.988)	Prec@5 78.125 (75.578)
Epoch: [49][8200/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.5328 (2.1800)	Prec@1 35.938 (44.986)	Prec@5 69.531 (75.575)
Epoch: [49][8210/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.1925 (2.1799)	Prec@1 46.094 (44.988)	Prec@5 75.000 (75.575)
Epoch: [49][8220/14090]	Time 0.894 (0.765)	Data 0.001 (0.001)	Loss 1.9832 (2.1798)	Prec@1 49.219 (44.990)	Prec@5 79.688 (75.576)
Epoch: [49][8230/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.2438 (2.1799)	Prec@1 44.531 (44.987)	Prec@5 73.438 (75.575)
Epoch: [49][8240/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.0132 (2.1799)	Prec@1 54.688 (44.990)	Prec@5 78.125 (75.575)
Epoch: [49][8250/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.2690 (2.1799)	Prec@1 45.312 (44.992)	Prec@5 67.188 (75.575)
Epoch: [49][8260/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.2175 (2.1799)	Prec@1 43.750 (44.990)	Prec@5 75.781 (75.573)
Epoch: [49][8270/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 1.9881 (2.1799)	Prec@1 46.875 (44.990)	Prec@5 75.781 (75.571)
Epoch: [49][8280/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 2.3547 (2.1799)	Prec@1 48.438 (44.991)	Prec@5 70.312 (75.571)
Epoch: [49][8290/14090]	Time 0.908 (0.765)	Data 0.001 (0.001)	Loss 2.2178 (2.1799)	Prec@1 41.406 (44.993)	Prec@5 76.562 (75.574)
Epoch: [49][8300/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.3542 (2.1799)	Prec@1 47.656 (44.994)	Prec@5 75.781 (75.574)
Epoch: [49][8310/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.2872 (2.1800)	Prec@1 42.188 (44.991)	Prec@5 69.531 (75.573)
Epoch: [49][8320/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 2.0339 (2.1799)	Prec@1 44.531 (44.992)	Prec@5 77.344 (75.574)
Epoch: [49][8330/14090]	Time 0.774 (0.765)	Data 0.001 (0.001)	Loss 1.9275 (2.1799)	Prec@1 52.344 (44.995)	Prec@5 79.688 (75.574)
Epoch: [49][8340/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.2956 (2.1799)	Prec@1 38.281 (44.994)	Prec@5 73.438 (75.575)
Epoch: [49][8350/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.4409 (2.1799)	Prec@1 38.281 (44.994)	Prec@5 70.312 (75.575)
Epoch: [49][8360/14090]	Time 0.890 (0.765)	Data 0.001 (0.001)	Loss 2.0228 (2.1798)	Prec@1 49.219 (44.995)	Prec@5 81.250 (75.577)
Epoch: [49][8370/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 1.9499 (2.1798)	Prec@1 49.219 (44.994)	Prec@5 82.812 (75.579)
Epoch: [49][8380/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.3379 (2.1798)	Prec@1 47.656 (44.995)	Prec@5 70.312 (75.579)
Epoch: [49][8390/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.4756 (2.1798)	Prec@1 39.062 (44.996)	Prec@5 65.625 (75.579)
Epoch: [49][8400/14090]	Time 0.784 (0.765)	Data 0.001 (0.001)	Loss 2.1655 (2.1798)	Prec@1 50.000 (44.994)	Prec@5 77.344 (75.578)
Epoch: [49][8410/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.2401 (2.1799)	Prec@1 43.750 (44.994)	Prec@5 74.219 (75.577)
Epoch: [49][8420/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.5812 (2.1801)	Prec@1 34.375 (44.991)	Prec@5 70.312 (75.575)
Epoch: [49][8430/14090]	Time 0.833 (0.765)	Data 0.001 (0.001)	Loss 2.0634 (2.1801)	Prec@1 44.531 (44.990)	Prec@5 79.688 (75.577)
Epoch: [49][8440/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.4953 (2.1801)	Prec@1 42.969 (44.990)	Prec@5 70.312 (75.577)
Epoch: [49][8450/14090]	Time 0.777 (0.765)	Data 0.001 (0.001)	Loss 2.2596 (2.1801)	Prec@1 42.969 (44.991)	Prec@5 71.875 (75.576)
Epoch: [49][8460/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.5881 (2.1802)	Prec@1 38.281 (44.988)	Prec@5 71.094 (75.574)
Epoch: [49][8470/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.2827 (2.1803)	Prec@1 44.531 (44.984)	Prec@5 76.562 (75.573)
Epoch: [49][8480/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 1.9699 (2.1803)	Prec@1 46.875 (44.982)	Prec@5 79.688 (75.573)
Epoch: [49][8490/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.2672 (2.1803)	Prec@1 44.531 (44.982)	Prec@5 74.219 (75.573)
Epoch: [49][8500/14090]	Time 0.860 (0.765)	Data 0.001 (0.001)	Loss 2.2568 (2.1804)	Prec@1 41.406 (44.981)	Prec@5 71.875 (75.571)
Epoch: [49][8510/14090]	Time 0.774 (0.765)	Data 0.001 (0.001)	Loss 1.7224 (2.1805)	Prec@1 51.562 (44.980)	Prec@5 84.375 (75.569)
Epoch: [49][8520/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 2.1957 (2.1805)	Prec@1 45.312 (44.979)	Prec@5 71.875 (75.570)
Epoch: [49][8530/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.2635 (2.1805)	Prec@1 43.750 (44.978)	Prec@5 75.781 (75.571)
Epoch: [49][8540/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.2554 (2.1806)	Prec@1 42.969 (44.974)	Prec@5 73.438 (75.570)
Epoch: [49][8550/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 2.1335 (2.1808)	Prec@1 46.875 (44.972)	Prec@5 78.125 (75.568)
Epoch: [49][8560/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.0525 (2.1807)	Prec@1 45.312 (44.970)	Prec@5 79.688 (75.569)
Epoch: [49][8570/14090]	Time 0.883 (0.765)	Data 0.001 (0.001)	Loss 2.2009 (2.1807)	Prec@1 46.875 (44.971)	Prec@5 67.969 (75.570)
Epoch: [49][8580/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 2.0631 (2.1807)	Prec@1 47.656 (44.970)	Prec@5 74.219 (75.567)
Epoch: [49][8590/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.3706 (2.1807)	Prec@1 34.375 (44.968)	Prec@5 74.219 (75.568)
Epoch: [49][8600/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.2075 (2.1807)	Prec@1 46.875 (44.967)	Prec@5 75.000 (75.568)
Epoch: [49][8610/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.2443 (2.1808)	Prec@1 42.188 (44.964)	Prec@5 77.344 (75.568)
Epoch: [49][8620/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 1.8784 (2.1808)	Prec@1 48.438 (44.962)	Prec@5 82.812 (75.569)
Epoch: [49][8630/14090]	Time 0.769 (0.765)	Data 0.001 (0.001)	Loss 2.2855 (2.1808)	Prec@1 43.750 (44.963)	Prec@5 71.094 (75.567)
Epoch: [49][8640/14090]	Time 0.851 (0.765)	Data 0.001 (0.001)	Loss 2.5705 (2.1809)	Prec@1 42.969 (44.960)	Prec@5 66.406 (75.566)
Epoch: [49][8650/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.2000 (2.1809)	Prec@1 44.531 (44.960)	Prec@5 78.906 (75.565)
Epoch: [49][8660/14090]	Time 0.778 (0.765)	Data 0.001 (0.001)	Loss 2.0108 (2.1809)	Prec@1 52.344 (44.958)	Prec@5 79.688 (75.564)
Epoch: [49][8670/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.4155 (2.1810)	Prec@1 38.281 (44.959)	Prec@5 71.094 (75.563)
Epoch: [49][8680/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.2122 (2.1809)	Prec@1 42.188 (44.960)	Prec@5 75.000 (75.563)
Epoch: [49][8690/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.2708 (2.1810)	Prec@1 42.969 (44.958)	Prec@5 70.312 (75.561)
Epoch: [49][8700/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.1322 (2.1810)	Prec@1 43.750 (44.959)	Prec@5 78.125 (75.561)
Epoch: [49][8710/14090]	Time 0.887 (0.765)	Data 0.001 (0.001)	Loss 2.1740 (2.1810)	Prec@1 51.562 (44.958)	Prec@5 74.219 (75.560)
Epoch: [49][8720/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.0660 (2.1809)	Prec@1 42.969 (44.958)	Prec@5 75.781 (75.560)
Epoch: [49][8730/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.2472 (2.1809)	Prec@1 42.188 (44.960)	Prec@5 78.125 (75.562)
Epoch: [49][8740/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.1344 (2.1808)	Prec@1 48.438 (44.960)	Prec@5 71.094 (75.562)
Epoch: [49][8750/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.2998 (2.1808)	Prec@1 46.094 (44.960)	Prec@5 70.312 (75.562)
Epoch: [49][8760/14090]	Time 0.773 (0.765)	Data 0.001 (0.001)	Loss 2.0270 (2.1807)	Prec@1 51.562 (44.962)	Prec@5 77.344 (75.565)
Epoch: [49][8770/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.1296 (2.1806)	Prec@1 50.000 (44.966)	Prec@5 76.562 (75.565)
Epoch: [49][8780/14090]	Time 0.847 (0.765)	Data 0.001 (0.001)	Loss 2.2738 (2.1807)	Prec@1 42.969 (44.967)	Prec@5 71.875 (75.563)
Epoch: [49][8790/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.2403 (2.1807)	Prec@1 46.094 (44.967)	Prec@5 73.438 (75.563)
Epoch: [49][8800/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.2496 (2.1807)	Prec@1 40.625 (44.966)	Prec@5 75.781 (75.564)
Epoch: [49][8810/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.1365 (2.1806)	Prec@1 46.875 (44.963)	Prec@5 76.562 (75.564)
Epoch: [49][8820/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.1159 (2.1806)	Prec@1 43.750 (44.963)	Prec@5 77.344 (75.564)
Epoch: [49][8830/14090]	Time 0.770 (0.765)	Data 0.001 (0.001)	Loss 2.0598 (2.1806)	Prec@1 45.312 (44.963)	Prec@5 73.438 (75.564)
Epoch: [49][8840/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.0575 (2.1808)	Prec@1 39.844 (44.959)	Prec@5 78.125 (75.562)
Epoch: [49][8850/14090]	Time 0.849 (0.765)	Data 0.001 (0.001)	Loss 2.4637 (2.1808)	Prec@1 35.938 (44.957)	Prec@5 68.750 (75.561)
Epoch: [49][8860/14090]	Time 0.721 (0.765)	Data 0.001 (0.001)	Loss 2.1167 (2.1808)	Prec@1 46.875 (44.956)	Prec@5 71.094 (75.559)
Epoch: [49][8870/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.0714 (2.1808)	Prec@1 44.531 (44.955)	Prec@5 78.125 (75.559)
Epoch: [49][8880/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.0607 (2.1808)	Prec@1 46.875 (44.954)	Prec@5 78.125 (75.559)
Epoch: [49][8890/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 1.9581 (2.1809)	Prec@1 47.656 (44.952)	Prec@5 81.250 (75.557)
Epoch: [49][8900/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.2479 (2.1808)	Prec@1 44.531 (44.952)	Prec@5 77.344 (75.559)
Epoch: [49][8910/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.3290 (2.1808)	Prec@1 42.969 (44.953)	Prec@5 73.438 (75.560)
Epoch: [49][8920/14090]	Time 0.852 (0.765)	Data 0.001 (0.001)	Loss 2.1181 (2.1808)	Prec@1 46.875 (44.953)	Prec@5 78.906 (75.560)
Epoch: [49][8930/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.1325 (2.1808)	Prec@1 44.531 (44.953)	Prec@5 75.781 (75.561)
Epoch: [49][8940/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.0878 (2.1808)	Prec@1 45.312 (44.954)	Prec@5 73.438 (75.561)
Epoch: [49][8950/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.3287 (2.1809)	Prec@1 36.719 (44.950)	Prec@5 72.656 (75.559)
Epoch: [49][8960/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.0294 (2.1810)	Prec@1 45.312 (44.949)	Prec@5 80.469 (75.558)
Epoch: [49][8970/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.5079 (2.1811)	Prec@1 36.719 (44.948)	Prec@5 70.312 (75.557)
Epoch: [49][8980/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.1627 (2.1811)	Prec@1 46.875 (44.947)	Prec@5 74.219 (75.555)
Epoch: [49][8990/14090]	Time 0.877 (0.765)	Data 0.001 (0.001)	Loss 2.1626 (2.1811)	Prec@1 40.625 (44.947)	Prec@5 75.000 (75.556)
Epoch: [49][9000/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.1866 (2.1812)	Prec@1 43.750 (44.947)	Prec@5 75.781 (75.555)
Epoch: [49][9010/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 1.9703 (2.1812)	Prec@1 50.000 (44.946)	Prec@5 79.688 (75.556)
Epoch: [49][9020/14090]	Time 0.766 (0.765)	Data 0.001 (0.001)	Loss 2.0733 (2.1811)	Prec@1 48.438 (44.947)	Prec@5 75.781 (75.558)
Epoch: [49][9030/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.1211 (2.1811)	Prec@1 45.312 (44.947)	Prec@5 78.125 (75.559)
Epoch: [49][9040/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.1838 (2.1811)	Prec@1 44.531 (44.945)	Prec@5 76.562 (75.559)
Epoch: [49][9050/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.1555 (2.1811)	Prec@1 45.312 (44.945)	Prec@5 73.438 (75.558)
Epoch: [49][9060/14090]	Time 0.873 (0.765)	Data 0.001 (0.001)	Loss 1.8629 (2.1810)	Prec@1 54.688 (44.946)	Prec@5 83.594 (75.560)
Epoch: [49][9070/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 1.9399 (2.1811)	Prec@1 51.562 (44.946)	Prec@5 80.469 (75.559)
Epoch: [49][9080/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.3974 (2.1811)	Prec@1 35.156 (44.944)	Prec@5 69.531 (75.559)
Epoch: [49][9090/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 2.0428 (2.1812)	Prec@1 50.781 (44.943)	Prec@5 78.906 (75.557)
Epoch: [49][9100/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 1.9628 (2.1812)	Prec@1 43.750 (44.941)	Prec@5 78.906 (75.557)
Epoch: [49][9110/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.4815 (2.1813)	Prec@1 42.969 (44.940)	Prec@5 67.188 (75.556)
Epoch: [49][9120/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.3396 (2.1812)	Prec@1 40.625 (44.943)	Prec@5 74.219 (75.558)
Epoch: [49][9130/14090]	Time 0.872 (0.765)	Data 0.001 (0.001)	Loss 2.0400 (2.1812)	Prec@1 48.438 (44.944)	Prec@5 78.125 (75.559)
Epoch: [49][9140/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.3685 (2.1812)	Prec@1 48.438 (44.946)	Prec@5 75.781 (75.559)
Epoch: [49][9150/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.2500 (2.1813)	Prec@1 49.219 (44.945)	Prec@5 75.000 (75.559)
Epoch: [49][9160/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.1784 (2.1814)	Prec@1 44.531 (44.946)	Prec@5 75.000 (75.557)
Epoch: [49][9170/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.2431 (2.1814)	Prec@1 39.062 (44.942)	Prec@5 75.000 (75.556)
Epoch: [49][9180/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.1650 (2.1815)	Prec@1 46.094 (44.942)	Prec@5 70.312 (75.553)
Epoch: [49][9190/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.1640 (2.1816)	Prec@1 40.625 (44.940)	Prec@5 81.250 (75.552)
Epoch: [49][9200/14090]	Time 0.915 (0.765)	Data 0.001 (0.001)	Loss 2.0403 (2.1815)	Prec@1 44.531 (44.942)	Prec@5 80.469 (75.552)
Epoch: [49][9210/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.3627 (2.1815)	Prec@1 36.719 (44.943)	Prec@5 74.219 (75.553)
Epoch: [49][9220/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.1732 (2.1815)	Prec@1 42.969 (44.941)	Prec@5 71.875 (75.553)
Epoch: [49][9230/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.1235 (2.1814)	Prec@1 45.312 (44.942)	Prec@5 78.906 (75.554)
Epoch: [49][9240/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.5375 (2.1814)	Prec@1 35.156 (44.941)	Prec@5 64.062 (75.553)
Epoch: [49][9250/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 2.4575 (2.1815)	Prec@1 39.844 (44.938)	Prec@5 70.312 (75.551)
Epoch: [49][9260/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.2297 (2.1815)	Prec@1 43.750 (44.939)	Prec@5 71.094 (75.551)
Epoch: [49][9270/14090]	Time 0.905 (0.765)	Data 0.001 (0.001)	Loss 1.9336 (2.1814)	Prec@1 44.531 (44.939)	Prec@5 80.469 (75.552)
Epoch: [49][9280/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 1.9655 (2.1814)	Prec@1 46.875 (44.939)	Prec@5 80.469 (75.554)
Epoch: [49][9290/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.4438 (2.1814)	Prec@1 33.594 (44.939)	Prec@5 71.875 (75.553)
Epoch: [49][9300/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.1085 (2.1814)	Prec@1 45.312 (44.939)	Prec@5 78.125 (75.553)
Epoch: [49][9310/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.0983 (2.1814)	Prec@1 42.188 (44.937)	Prec@5 75.000 (75.553)
Epoch: [49][9320/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 1.9682 (2.1814)	Prec@1 46.875 (44.936)	Prec@5 75.781 (75.555)
Epoch: [49][9330/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.4445 (2.1814)	Prec@1 35.938 (44.936)	Prec@5 68.750 (75.555)
Epoch: [49][9340/14090]	Time 0.856 (0.765)	Data 0.001 (0.001)	Loss 2.2383 (2.1814)	Prec@1 46.094 (44.935)	Prec@5 71.875 (75.553)
Epoch: [49][9350/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.1457 (2.1814)	Prec@1 43.750 (44.935)	Prec@5 77.344 (75.553)
Epoch: [49][9360/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.2652 (2.1814)	Prec@1 42.188 (44.935)	Prec@5 74.219 (75.553)
Epoch: [49][9370/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.0434 (2.1814)	Prec@1 49.219 (44.938)	Prec@5 77.344 (75.553)
Epoch: [49][9380/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.2624 (2.1813)	Prec@1 47.656 (44.939)	Prec@5 77.344 (75.553)
Epoch: [49][9390/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.4653 (2.1814)	Prec@1 29.688 (44.938)	Prec@5 72.656 (75.553)
Epoch: [49][9400/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.2357 (2.1813)	Prec@1 42.969 (44.938)	Prec@5 77.344 (75.555)
Epoch: [49][9410/14090]	Time 0.882 (0.765)	Data 0.001 (0.001)	Loss 2.1201 (2.1813)	Prec@1 43.750 (44.938)	Prec@5 75.000 (75.555)
Epoch: [49][9420/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.5153 (2.1814)	Prec@1 36.719 (44.937)	Prec@5 67.188 (75.554)
Epoch: [49][9430/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.2503 (2.1815)	Prec@1 45.312 (44.935)	Prec@5 71.875 (75.553)
Epoch: [49][9440/14090]	Time 0.782 (0.765)	Data 0.001 (0.001)	Loss 2.3335 (2.1813)	Prec@1 39.062 (44.936)	Prec@5 71.875 (75.555)
Epoch: [49][9450/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 1.7865 (2.1813)	Prec@1 56.250 (44.938)	Prec@5 79.688 (75.556)
Epoch: [49][9460/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.3833 (2.1813)	Prec@1 36.719 (44.937)	Prec@5 71.094 (75.555)
Epoch: [49][9470/14090]	Time 0.773 (0.765)	Data 0.001 (0.001)	Loss 2.2850 (2.1813)	Prec@1 46.094 (44.935)	Prec@5 69.531 (75.554)
Epoch: [49][9480/14090]	Time 0.868 (0.765)	Data 0.001 (0.001)	Loss 1.9634 (2.1812)	Prec@1 50.000 (44.936)	Prec@5 78.906 (75.556)
Epoch: [49][9490/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.0972 (2.1812)	Prec@1 43.750 (44.938)	Prec@5 75.000 (75.555)
Epoch: [49][9500/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.2233 (2.1813)	Prec@1 48.438 (44.938)	Prec@5 70.312 (75.554)
Epoch: [49][9510/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.3352 (2.1814)	Prec@1 42.969 (44.937)	Prec@5 71.094 (75.553)
Epoch: [49][9520/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.1836 (2.1813)	Prec@1 39.844 (44.935)	Prec@5 78.125 (75.555)
Epoch: [49][9530/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.0668 (2.1813)	Prec@1 46.875 (44.937)	Prec@5 75.000 (75.555)
Epoch: [49][9540/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.2106 (2.1814)	Prec@1 46.875 (44.936)	Prec@5 73.438 (75.554)
Epoch: [49][9550/14090]	Time 0.882 (0.765)	Data 0.001 (0.001)	Loss 1.9947 (2.1814)	Prec@1 46.094 (44.937)	Prec@5 80.469 (75.555)
Epoch: [49][9560/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 1.8660 (2.1813)	Prec@1 48.438 (44.938)	Prec@5 78.906 (75.556)
Epoch: [49][9570/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.1169 (2.1813)	Prec@1 50.781 (44.937)	Prec@5 71.094 (75.555)
Epoch: [49][9580/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.1767 (2.1814)	Prec@1 42.188 (44.935)	Prec@5 74.219 (75.554)
Epoch: [49][9590/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.0245 (2.1813)	Prec@1 52.344 (44.936)	Prec@5 80.469 (75.556)
Epoch: [49][9600/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.4288 (2.1814)	Prec@1 34.375 (44.934)	Prec@5 75.781 (75.555)
Epoch: [49][9610/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.1840 (2.1814)	Prec@1 39.844 (44.933)	Prec@5 76.562 (75.555)
Epoch: [49][9620/14090]	Time 0.869 (0.765)	Data 0.001 (0.001)	Loss 1.8293 (2.1814)	Prec@1 50.781 (44.932)	Prec@5 78.125 (75.558)
Epoch: [49][9630/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.2478 (2.1814)	Prec@1 44.531 (44.932)	Prec@5 68.750 (75.556)
Epoch: [49][9640/14090]	Time 0.783 (0.765)	Data 0.001 (0.001)	Loss 2.2831 (2.1814)	Prec@1 42.969 (44.932)	Prec@5 73.438 (75.557)
Epoch: [49][9650/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.1986 (2.1814)	Prec@1 39.844 (44.930)	Prec@5 71.875 (75.557)
Epoch: [49][9660/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.4071 (2.1814)	Prec@1 41.406 (44.931)	Prec@5 75.781 (75.558)
Epoch: [49][9670/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.2159 (2.1815)	Prec@1 41.406 (44.930)	Prec@5 73.438 (75.556)
Epoch: [49][9680/14090]	Time 0.766 (0.765)	Data 0.001 (0.001)	Loss 2.1148 (2.1814)	Prec@1 46.875 (44.931)	Prec@5 75.781 (75.557)
Epoch: [49][9690/14090]	Time 0.831 (0.765)	Data 0.001 (0.001)	Loss 2.0790 (2.1814)	Prec@1 46.094 (44.931)	Prec@5 78.906 (75.557)
Epoch: [49][9700/14090]	Time 0.720 (0.765)	Data 0.001 (0.001)	Loss 2.1640 (2.1813)	Prec@1 43.750 (44.932)	Prec@5 76.562 (75.559)
Epoch: [49][9710/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.3799 (2.1814)	Prec@1 35.156 (44.930)	Prec@5 71.875 (75.557)
Epoch: [49][9720/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.3807 (2.1815)	Prec@1 37.500 (44.927)	Prec@5 68.750 (75.556)
Epoch: [49][9730/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.0711 (2.1815)	Prec@1 43.750 (44.926)	Prec@5 78.125 (75.556)
Epoch: [49][9740/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 1.9150 (2.1814)	Prec@1 50.781 (44.927)	Prec@5 77.344 (75.558)
Epoch: [49][9750/14090]	Time 0.780 (0.765)	Data 0.001 (0.001)	Loss 2.2426 (2.1813)	Prec@1 36.719 (44.929)	Prec@5 75.781 (75.559)
Epoch: [49][9760/14090]	Time 0.861 (0.765)	Data 0.001 (0.001)	Loss 2.3856 (2.1812)	Prec@1 42.188 (44.931)	Prec@5 70.312 (75.560)
Epoch: [49][9770/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 1.9797 (2.1812)	Prec@1 49.219 (44.931)	Prec@5 77.344 (75.562)
Epoch: [49][9780/14090]	Time 0.776 (0.765)	Data 0.001 (0.001)	Loss 2.2044 (2.1812)	Prec@1 44.531 (44.931)	Prec@5 76.562 (75.563)
Epoch: [49][9790/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.1236 (2.1812)	Prec@1 43.750 (44.930)	Prec@5 75.781 (75.564)
Epoch: [49][9800/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.1921 (2.1812)	Prec@1 42.188 (44.930)	Prec@5 78.906 (75.562)
Epoch: [49][9810/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.0045 (2.1812)	Prec@1 47.656 (44.929)	Prec@5 80.469 (75.562)
Epoch: [49][9820/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.1576 (2.1812)	Prec@1 46.875 (44.930)	Prec@5 72.656 (75.561)
Epoch: [49][9830/14090]	Time 1.007 (0.765)	Data 0.001 (0.001)	Loss 2.4097 (2.1812)	Prec@1 37.500 (44.929)	Prec@5 74.219 (75.560)
Epoch: [49][9840/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 2.2923 (2.1813)	Prec@1 45.312 (44.928)	Prec@5 76.562 (75.560)
Epoch: [49][9850/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.1759 (2.1813)	Prec@1 47.656 (44.930)	Prec@5 77.344 (75.560)
Epoch: [49][9860/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.3706 (2.1813)	Prec@1 39.844 (44.928)	Prec@5 73.438 (75.560)
Epoch: [49][9870/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.1468 (2.1813)	Prec@1 45.312 (44.930)	Prec@5 74.219 (75.559)
Epoch: [49][9880/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.2027 (2.1813)	Prec@1 45.312 (44.930)	Prec@5 68.750 (75.559)
Epoch: [49][9890/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.5751 (2.1813)	Prec@1 41.406 (44.930)	Prec@5 65.625 (75.558)
Epoch: [49][9900/14090]	Time 0.850 (0.765)	Data 0.001 (0.001)	Loss 2.3265 (2.1815)	Prec@1 46.094 (44.926)	Prec@5 70.312 (75.557)
Epoch: [49][9910/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.2276 (2.1816)	Prec@1 41.406 (44.924)	Prec@5 71.875 (75.554)
Epoch: [49][9920/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.3333 (2.1816)	Prec@1 42.188 (44.925)	Prec@5 74.219 (75.553)
Epoch: [49][9930/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.1550 (2.1816)	Prec@1 43.750 (44.924)	Prec@5 75.000 (75.553)
Epoch: [49][9940/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.0270 (2.1816)	Prec@1 50.000 (44.924)	Prec@5 77.344 (75.552)
Epoch: [49][9950/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.1929 (2.1817)	Prec@1 40.625 (44.921)	Prec@5 77.344 (75.552)
Epoch: [49][9960/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.2505 (2.1817)	Prec@1 42.969 (44.920)	Prec@5 73.438 (75.550)
Epoch: [49][9970/14090]	Time 0.915 (0.765)	Data 0.001 (0.001)	Loss 2.2367 (2.1817)	Prec@1 45.312 (44.919)	Prec@5 79.688 (75.551)
Epoch: [49][9980/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 1.9997 (2.1818)	Prec@1 46.875 (44.918)	Prec@5 81.250 (75.549)
Epoch: [49][9990/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.3404 (2.1819)	Prec@1 37.500 (44.916)	Prec@5 72.656 (75.548)
Epoch: [49][10000/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.2466 (2.1819)	Prec@1 49.219 (44.916)	Prec@5 78.906 (75.549)
Epoch: [49][10010/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 2.3525 (2.1820)	Prec@1 44.531 (44.915)	Prec@5 74.219 (75.548)
Epoch: [49][10020/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.1719 (2.1819)	Prec@1 41.406 (44.915)	Prec@5 78.906 (75.549)
Epoch: [49][10030/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.5092 (2.1820)	Prec@1 36.719 (44.912)	Prec@5 69.531 (75.547)
Epoch: [49][10040/14090]	Time 0.869 (0.765)	Data 0.001 (0.001)	Loss 2.3478 (2.1820)	Prec@1 40.625 (44.911)	Prec@5 71.094 (75.546)
Epoch: [49][10050/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 1.9453 (2.1820)	Prec@1 52.344 (44.913)	Prec@5 78.906 (75.545)
Epoch: [49][10060/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.1786 (2.1821)	Prec@1 42.188 (44.911)	Prec@5 80.469 (75.545)
Epoch: [49][10070/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.1148 (2.1820)	Prec@1 45.312 (44.912)	Prec@5 73.438 (75.546)
Epoch: [49][10080/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 1.8342 (2.1820)	Prec@1 53.125 (44.911)	Prec@5 80.469 (75.546)
Epoch: [49][10090/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.1035 (2.1820)	Prec@1 46.094 (44.911)	Prec@5 78.125 (75.545)
Epoch: [49][10100/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.1563 (2.1820)	Prec@1 42.969 (44.912)	Prec@5 75.781 (75.546)
Epoch: [49][10110/14090]	Time 0.848 (0.765)	Data 0.001 (0.001)	Loss 2.1081 (2.1819)	Prec@1 42.969 (44.914)	Prec@5 78.125 (75.547)
Epoch: [49][10120/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.2876 (2.1819)	Prec@1 45.312 (44.914)	Prec@5 75.781 (75.547)
Epoch: [49][10130/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.2348 (2.1819)	Prec@1 43.750 (44.915)	Prec@5 73.438 (75.547)
Epoch: [49][10140/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.2809 (2.1819)	Prec@1 46.094 (44.913)	Prec@5 75.000 (75.546)
Epoch: [49][10150/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.3153 (2.1820)	Prec@1 44.531 (44.912)	Prec@5 71.094 (75.545)
Epoch: [49][10160/14090]	Time 0.753 (0.765)	Data 0.003 (0.001)	Loss 2.0667 (2.1820)	Prec@1 46.875 (44.912)	Prec@5 75.000 (75.545)
Epoch: [49][10170/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.6134 (2.1822)	Prec@1 41.406 (44.909)	Prec@5 65.625 (75.541)
Epoch: [49][10180/14090]	Time 0.884 (0.765)	Data 0.001 (0.001)	Loss 2.5308 (2.1822)	Prec@1 40.625 (44.906)	Prec@5 71.094 (75.539)
Epoch: [49][10190/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.3076 (2.1823)	Prec@1 42.969 (44.907)	Prec@5 71.875 (75.538)
Epoch: [49][10200/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.1707 (2.1823)	Prec@1 47.656 (44.906)	Prec@5 75.000 (75.538)
Epoch: [49][10210/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.1705 (2.1823)	Prec@1 46.094 (44.905)	Prec@5 75.781 (75.537)
Epoch: [49][10220/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.3247 (2.1823)	Prec@1 41.406 (44.904)	Prec@5 76.562 (75.538)
Epoch: [49][10230/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 2.0470 (2.1823)	Prec@1 44.531 (44.903)	Prec@5 76.562 (75.538)
Epoch: [49][10240/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.0307 (2.1823)	Prec@1 43.750 (44.903)	Prec@5 76.562 (75.537)
Epoch: [49][10250/14090]	Time 0.858 (0.765)	Data 0.001 (0.001)	Loss 2.2102 (2.1823)	Prec@1 42.969 (44.903)	Prec@5 67.969 (75.537)
Epoch: [49][10260/14090]	Time 0.772 (0.765)	Data 0.001 (0.001)	Loss 2.0569 (2.1823)	Prec@1 47.656 (44.902)	Prec@5 79.688 (75.536)
Epoch: [49][10270/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.4912 (2.1824)	Prec@1 40.625 (44.903)	Prec@5 71.875 (75.535)
Epoch: [49][10280/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.2333 (2.1824)	Prec@1 40.625 (44.902)	Prec@5 75.781 (75.534)
Epoch: [49][10290/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.2135 (2.1824)	Prec@1 43.750 (44.901)	Prec@5 77.344 (75.536)
Epoch: [49][10300/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 1.8844 (2.1824)	Prec@1 52.344 (44.899)	Prec@5 82.812 (75.535)
Epoch: [49][10310/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 1.8881 (2.1824)	Prec@1 47.656 (44.900)	Prec@5 82.812 (75.536)
Epoch: [49][10320/14090]	Time 0.861 (0.765)	Data 0.001 (0.001)	Loss 2.3212 (2.1824)	Prec@1 42.188 (44.900)	Prec@5 70.312 (75.535)
Epoch: [49][10330/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.1143 (2.1824)	Prec@1 43.750 (44.900)	Prec@5 75.781 (75.535)
Epoch: [49][10340/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.3062 (2.1824)	Prec@1 46.094 (44.901)	Prec@5 72.656 (75.533)
Epoch: [49][10350/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.0437 (2.1823)	Prec@1 46.094 (44.901)	Prec@5 79.688 (75.535)
Epoch: [49][10360/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 2.0974 (2.1824)	Prec@1 47.656 (44.900)	Prec@5 79.688 (75.533)
Epoch: [49][10370/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.1369 (2.1824)	Prec@1 41.406 (44.901)	Prec@5 73.438 (75.533)
Epoch: [49][10380/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.0613 (2.1825)	Prec@1 52.344 (44.899)	Prec@5 75.781 (75.532)
Epoch: [49][10390/14090]	Time 0.849 (0.765)	Data 0.001 (0.001)	Loss 2.2513 (2.1824)	Prec@1 45.312 (44.901)	Prec@5 75.000 (75.533)
Epoch: [49][10400/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.2706 (2.1824)	Prec@1 43.750 (44.901)	Prec@5 74.219 (75.534)
Epoch: [49][10410/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 1.9304 (2.1824)	Prec@1 51.562 (44.902)	Prec@5 77.344 (75.533)
Epoch: [49][10420/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.1063 (2.1824)	Prec@1 46.094 (44.901)	Prec@5 75.781 (75.532)
Epoch: [49][10430/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 1.9263 (2.1824)	Prec@1 50.781 (44.901)	Prec@5 80.469 (75.532)
Epoch: [49][10440/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 1.7157 (2.1825)	Prec@1 57.031 (44.901)	Prec@5 84.375 (75.532)
Epoch: [49][10450/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.3312 (2.1825)	Prec@1 42.188 (44.901)	Prec@5 71.094 (75.531)
Epoch: [49][10460/14090]	Time 0.879 (0.765)	Data 0.001 (0.001)	Loss 2.3182 (2.1825)	Prec@1 46.875 (44.900)	Prec@5 71.094 (75.529)
Epoch: [49][10470/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 1.9742 (2.1825)	Prec@1 46.875 (44.900)	Prec@5 84.375 (75.531)
Epoch: [49][10480/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.2733 (2.1824)	Prec@1 44.531 (44.900)	Prec@5 76.562 (75.531)
Epoch: [49][10490/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.4698 (2.1825)	Prec@1 39.844 (44.899)	Prec@5 70.312 (75.530)
Epoch: [49][10500/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 1.8717 (2.1826)	Prec@1 51.562 (44.897)	Prec@5 78.906 (75.531)
Epoch: [49][10510/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.1599 (2.1826)	Prec@1 42.969 (44.896)	Prec@5 75.000 (75.529)
Epoch: [49][10520/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.2756 (2.1827)	Prec@1 46.094 (44.893)	Prec@5 75.000 (75.528)
Epoch: [49][10530/14090]	Time 0.853 (0.765)	Data 0.001 (0.001)	Loss 2.1180 (2.1827)	Prec@1 44.531 (44.891)	Prec@5 75.781 (75.528)
Epoch: [49][10540/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.0835 (2.1828)	Prec@1 45.312 (44.890)	Prec@5 79.688 (75.528)
Epoch: [49][10550/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.1920 (2.1828)	Prec@1 48.438 (44.889)	Prec@5 73.438 (75.528)
Epoch: [49][10560/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.0908 (2.1828)	Prec@1 46.094 (44.889)	Prec@5 79.688 (75.528)
Epoch: [49][10570/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 2.1685 (2.1828)	Prec@1 42.188 (44.888)	Prec@5 78.906 (75.528)
Epoch: [49][10580/14090]	Time 0.760 (0.765)	Data 0.003 (0.001)	Loss 2.2745 (2.1828)	Prec@1 39.062 (44.888)	Prec@5 78.125 (75.530)
Epoch: [49][10590/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.3359 (2.1829)	Prec@1 35.938 (44.887)	Prec@5 75.000 (75.527)
Epoch: [49][10600/14090]	Time 0.877 (0.765)	Data 0.001 (0.001)	Loss 2.1667 (2.1829)	Prec@1 43.750 (44.886)	Prec@5 78.125 (75.528)
Epoch: [49][10610/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 1.9887 (2.1829)	Prec@1 51.562 (44.886)	Prec@5 78.125 (75.527)
Epoch: [49][10620/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 1.8988 (2.1828)	Prec@1 47.656 (44.887)	Prec@5 81.250 (75.528)
Epoch: [49][10630/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 1.9856 (2.1828)	Prec@1 52.344 (44.889)	Prec@5 77.344 (75.529)
Epoch: [49][10640/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.4250 (2.1828)	Prec@1 35.938 (44.887)	Prec@5 74.219 (75.529)
Epoch: [49][10650/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.5440 (2.1829)	Prec@1 38.281 (44.887)	Prec@5 68.750 (75.528)
Epoch: [49][10660/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.2634 (2.1829)	Prec@1 42.969 (44.885)	Prec@5 80.469 (75.528)
Epoch: [49][10670/14090]	Time 0.883 (0.765)	Data 0.001 (0.001)	Loss 1.8505 (2.1828)	Prec@1 52.344 (44.888)	Prec@5 85.938 (75.531)
Epoch: [49][10680/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.0780 (2.1829)	Prec@1 49.219 (44.888)	Prec@5 75.000 (75.530)
Epoch: [49][10690/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.1780 (2.1829)	Prec@1 46.094 (44.887)	Prec@5 73.438 (75.529)
Epoch: [49][10700/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.2888 (2.1829)	Prec@1 40.625 (44.885)	Prec@5 71.875 (75.528)
Epoch: [49][10710/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.3835 (2.1830)	Prec@1 42.188 (44.885)	Prec@5 74.219 (75.530)
Epoch: [49][10720/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 1.8763 (2.1830)	Prec@1 51.562 (44.885)	Prec@5 82.031 (75.529)
Epoch: [49][10730/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.2151 (2.1829)	Prec@1 46.094 (44.888)	Prec@5 81.250 (75.532)
Epoch: [49][10740/14090]	Time 0.892 (0.765)	Data 0.001 (0.001)	Loss 2.4238 (2.1829)	Prec@1 37.500 (44.887)	Prec@5 67.969 (75.534)
Epoch: [49][10750/14090]	Time 0.777 (0.765)	Data 0.001 (0.001)	Loss 2.1861 (2.1830)	Prec@1 43.750 (44.885)	Prec@5 76.562 (75.532)
Epoch: [49][10760/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.2889 (2.1830)	Prec@1 42.969 (44.884)	Prec@5 73.438 (75.532)
Epoch: [49][10770/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.4227 (2.1831)	Prec@1 43.750 (44.885)	Prec@5 67.969 (75.532)
Epoch: [49][10780/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.2452 (2.1830)	Prec@1 40.625 (44.886)	Prec@5 77.344 (75.533)
Epoch: [49][10790/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.4927 (2.1830)	Prec@1 41.406 (44.886)	Prec@5 67.188 (75.533)
Epoch: [49][10800/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.2420 (2.1830)	Prec@1 43.750 (44.885)	Prec@5 73.438 (75.532)
Epoch: [49][10810/14090]	Time 0.843 (0.765)	Data 0.001 (0.001)	Loss 2.3763 (2.1830)	Prec@1 45.312 (44.886)	Prec@5 73.438 (75.533)
Epoch: [49][10820/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.1813 (2.1830)	Prec@1 47.656 (44.886)	Prec@5 77.344 (75.534)
Epoch: [49][10830/14090]	Time 0.772 (0.765)	Data 0.001 (0.001)	Loss 2.2819 (2.1829)	Prec@1 48.438 (44.887)	Prec@5 74.219 (75.534)
Epoch: [49][10840/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.3116 (2.1830)	Prec@1 36.719 (44.886)	Prec@5 75.781 (75.533)
Epoch: [49][10850/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.2402 (2.1831)	Prec@1 41.406 (44.884)	Prec@5 71.094 (75.531)
Epoch: [49][10860/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 1.8687 (2.1830)	Prec@1 47.656 (44.884)	Prec@5 82.031 (75.534)
Epoch: [49][10870/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 1.9822 (2.1829)	Prec@1 45.312 (44.885)	Prec@5 78.125 (75.534)
Epoch: [49][10880/14090]	Time 0.874 (0.765)	Data 0.001 (0.001)	Loss 2.0836 (2.1829)	Prec@1 44.531 (44.886)	Prec@5 79.688 (75.534)
Epoch: [49][10890/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.2616 (2.1828)	Prec@1 41.406 (44.888)	Prec@5 71.875 (75.534)
Epoch: [49][10900/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.0970 (2.1829)	Prec@1 46.094 (44.889)	Prec@5 73.438 (75.534)
Epoch: [49][10910/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 1.9519 (2.1829)	Prec@1 54.688 (44.889)	Prec@5 80.469 (75.535)
Epoch: [49][10920/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.1503 (2.1828)	Prec@1 43.750 (44.890)	Prec@5 76.562 (75.535)
Epoch: [49][10930/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.1406 (2.1828)	Prec@1 43.750 (44.890)	Prec@5 74.219 (75.535)
Epoch: [49][10940/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.4872 (2.1829)	Prec@1 35.156 (44.890)	Prec@5 78.125 (75.535)
Epoch: [49][10950/14090]	Time 0.884 (0.765)	Data 0.001 (0.001)	Loss 2.1905 (2.1829)	Prec@1 48.438 (44.890)	Prec@5 78.125 (75.536)
Epoch: [49][10960/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 1.9968 (2.1829)	Prec@1 45.312 (44.888)	Prec@5 82.812 (75.536)
Epoch: [49][10970/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.2936 (2.1829)	Prec@1 39.062 (44.889)	Prec@5 70.312 (75.535)
Epoch: [49][10980/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.1630 (2.1829)	Prec@1 50.000 (44.888)	Prec@5 74.219 (75.536)
Epoch: [49][10990/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.2388 (2.1829)	Prec@1 39.844 (44.887)	Prec@5 74.219 (75.535)
Epoch: [49][11000/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.1254 (2.1828)	Prec@1 41.406 (44.887)	Prec@5 75.000 (75.537)
Epoch: [49][11010/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.3274 (2.1828)	Prec@1 46.094 (44.888)	Prec@5 73.438 (75.539)
Epoch: [49][11020/14090]	Time 0.843 (0.765)	Data 0.001 (0.001)	Loss 2.0172 (2.1827)	Prec@1 50.000 (44.890)	Prec@5 78.906 (75.540)
Epoch: [49][11030/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.1837 (2.1827)	Prec@1 43.750 (44.891)	Prec@5 78.125 (75.539)
Epoch: [49][11040/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.2165 (2.1827)	Prec@1 44.531 (44.889)	Prec@5 74.219 (75.538)
Epoch: [49][11050/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.0384 (2.1827)	Prec@1 46.094 (44.888)	Prec@5 76.562 (75.537)
Epoch: [49][11060/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.1971 (2.1827)	Prec@1 45.312 (44.887)	Prec@5 75.000 (75.536)
Epoch: [49][11070/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.1180 (2.1827)	Prec@1 53.125 (44.887)	Prec@5 75.000 (75.537)
Epoch: [49][11080/14090]	Time 0.769 (0.765)	Data 0.001 (0.001)	Loss 2.0900 (2.1827)	Prec@1 45.312 (44.887)	Prec@5 82.812 (75.538)
Epoch: [49][11090/14090]	Time 0.870 (0.765)	Data 0.001 (0.001)	Loss 1.9315 (2.1827)	Prec@1 49.219 (44.888)	Prec@5 80.469 (75.538)
Epoch: [49][11100/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.1444 (2.1826)	Prec@1 44.531 (44.889)	Prec@5 74.219 (75.538)
Epoch: [49][11110/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.1862 (2.1827)	Prec@1 42.188 (44.889)	Prec@5 75.000 (75.537)
Epoch: [49][11120/14090]	Time 0.773 (0.765)	Data 0.001 (0.001)	Loss 2.0413 (2.1826)	Prec@1 42.969 (44.889)	Prec@5 78.906 (75.538)
Epoch: [49][11130/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.7117 (2.1827)	Prec@1 30.469 (44.887)	Prec@5 63.281 (75.536)
Epoch: [49][11140/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.1600 (2.1827)	Prec@1 50.000 (44.887)	Prec@5 72.656 (75.536)
Epoch: [49][11150/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.2130 (2.1826)	Prec@1 42.188 (44.889)	Prec@5 77.344 (75.538)
Epoch: [49][11160/14090]	Time 0.875 (0.765)	Data 0.001 (0.001)	Loss 2.1888 (2.1827)	Prec@1 48.438 (44.888)	Prec@5 73.438 (75.536)
Epoch: [49][11170/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 2.1497 (2.1827)	Prec@1 42.188 (44.887)	Prec@5 76.562 (75.536)
Epoch: [49][11180/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 2.0803 (2.1827)	Prec@1 46.094 (44.886)	Prec@5 74.219 (75.534)
Epoch: [49][11190/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.2681 (2.1828)	Prec@1 42.188 (44.883)	Prec@5 76.562 (75.533)
Epoch: [49][11200/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.0607 (2.1829)	Prec@1 46.094 (44.883)	Prec@5 78.125 (75.532)
Epoch: [49][11210/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.1817 (2.1829)	Prec@1 42.969 (44.883)	Prec@5 75.781 (75.532)
Epoch: [49][11220/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.3275 (2.1828)	Prec@1 44.531 (44.883)	Prec@5 70.312 (75.532)
Epoch: [49][11230/14090]	Time 0.870 (0.765)	Data 0.001 (0.001)	Loss 2.2474 (2.1828)	Prec@1 46.875 (44.885)	Prec@5 75.000 (75.533)
Epoch: [49][11240/14090]	Time 0.776 (0.765)	Data 0.001 (0.001)	Loss 1.8240 (2.1827)	Prec@1 55.469 (44.887)	Prec@5 78.906 (75.535)
Epoch: [49][11250/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.1306 (2.1828)	Prec@1 42.969 (44.887)	Prec@5 72.656 (75.534)
Epoch: [49][11260/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.3555 (2.1828)	Prec@1 45.312 (44.887)	Prec@5 70.312 (75.534)
Epoch: [49][11270/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.1214 (2.1829)	Prec@1 46.875 (44.885)	Prec@5 79.688 (75.533)
Epoch: [49][11280/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 2.3036 (2.1828)	Prec@1 38.281 (44.886)	Prec@5 69.531 (75.534)
Epoch: [49][11290/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.0335 (2.1828)	Prec@1 46.094 (44.887)	Prec@5 82.812 (75.534)
Epoch: [49][11300/14090]	Time 0.840 (0.765)	Data 0.001 (0.001)	Loss 2.0472 (2.1828)	Prec@1 45.312 (44.887)	Prec@5 78.906 (75.534)
Epoch: [49][11310/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.0466 (2.1828)	Prec@1 46.875 (44.887)	Prec@5 81.250 (75.533)
Epoch: [49][11320/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.2059 (2.1829)	Prec@1 41.406 (44.886)	Prec@5 78.906 (75.533)
Epoch: [49][11330/14090]	Time 0.766 (0.765)	Data 0.001 (0.001)	Loss 2.0099 (2.1829)	Prec@1 49.219 (44.886)	Prec@5 77.344 (75.532)
Epoch: [49][11340/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.2396 (2.1829)	Prec@1 41.406 (44.884)	Prec@5 73.438 (75.530)
Epoch: [49][11350/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.3807 (2.1831)	Prec@1 42.969 (44.882)	Prec@5 73.438 (75.529)
Epoch: [49][11360/14090]	Time 0.776 (0.765)	Data 0.001 (0.001)	Loss 2.2685 (2.1830)	Prec@1 46.094 (44.882)	Prec@5 69.531 (75.529)
Epoch: [49][11370/14090]	Time 0.862 (0.765)	Data 0.001 (0.001)	Loss 2.1238 (2.1830)	Prec@1 44.531 (44.881)	Prec@5 74.219 (75.529)
Epoch: [49][11380/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.0817 (2.1830)	Prec@1 47.656 (44.881)	Prec@5 80.469 (75.528)
Epoch: [49][11390/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.4303 (2.1831)	Prec@1 39.062 (44.880)	Prec@5 70.312 (75.527)
Epoch: [49][11400/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.2126 (2.1830)	Prec@1 47.656 (44.880)	Prec@5 77.344 (75.528)
Epoch: [49][11410/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.1929 (2.1830)	Prec@1 43.750 (44.879)	Prec@5 77.344 (75.528)
Epoch: [49][11420/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.0434 (2.1830)	Prec@1 43.750 (44.878)	Prec@5 76.562 (75.530)
Epoch: [49][11430/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.2380 (2.1830)	Prec@1 46.875 (44.880)	Prec@5 74.219 (75.530)
Epoch: [49][11440/14090]	Time 0.924 (0.765)	Data 0.001 (0.001)	Loss 2.3404 (2.1830)	Prec@1 45.312 (44.879)	Prec@5 73.438 (75.530)
Epoch: [49][11450/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.2651 (2.1830)	Prec@1 41.406 (44.879)	Prec@5 75.000 (75.531)
Epoch: [49][11460/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.1977 (2.1830)	Prec@1 40.625 (44.878)	Prec@5 72.656 (75.531)
Epoch: [49][11470/14090]	Time 0.767 (0.765)	Data 0.001 (0.001)	Loss 2.3351 (2.1830)	Prec@1 42.969 (44.878)	Prec@5 72.656 (75.530)
Epoch: [49][11480/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.0958 (2.1831)	Prec@1 46.875 (44.877)	Prec@5 75.000 (75.530)
Epoch: [49][11490/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.2426 (2.1831)	Prec@1 39.062 (44.875)	Prec@5 70.312 (75.528)
Epoch: [49][11500/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.5768 (2.1832)	Prec@1 39.062 (44.874)	Prec@5 67.969 (75.526)
Epoch: [49][11510/14090]	Time 0.848 (0.765)	Data 0.001 (0.001)	Loss 2.2067 (2.1832)	Prec@1 42.969 (44.873)	Prec@5 75.781 (75.526)
Epoch: [49][11520/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.2967 (2.1832)	Prec@1 42.969 (44.873)	Prec@5 73.438 (75.525)
Epoch: [49][11530/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.2585 (2.1833)	Prec@1 45.312 (44.872)	Prec@5 71.094 (75.524)
Epoch: [49][11540/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 1.9511 (2.1833)	Prec@1 51.562 (44.872)	Prec@5 80.469 (75.524)
Epoch: [49][11550/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.0929 (2.1834)	Prec@1 44.531 (44.872)	Prec@5 78.906 (75.523)
Epoch: [49][11560/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.1165 (2.1834)	Prec@1 43.750 (44.872)	Prec@5 76.562 (75.524)
Epoch: [49][11570/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.1908 (2.1834)	Prec@1 42.188 (44.870)	Prec@5 75.000 (75.523)
Epoch: [49][11580/14090]	Time 0.914 (0.765)	Data 0.001 (0.001)	Loss 2.1366 (2.1834)	Prec@1 46.094 (44.871)	Prec@5 78.125 (75.524)
Epoch: [49][11590/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.3394 (2.1835)	Prec@1 37.500 (44.870)	Prec@5 71.094 (75.522)
Epoch: [49][11600/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.0920 (2.1835)	Prec@1 42.969 (44.869)	Prec@5 74.219 (75.521)
Epoch: [49][11610/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.4657 (2.1836)	Prec@1 41.406 (44.868)	Prec@5 71.875 (75.521)
Epoch: [49][11620/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.3328 (2.1837)	Prec@1 46.094 (44.868)	Prec@5 74.219 (75.520)
Epoch: [49][11630/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.0898 (2.1836)	Prec@1 50.000 (44.870)	Prec@5 78.906 (75.521)
Epoch: [49][11640/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 1.8540 (2.1836)	Prec@1 52.344 (44.869)	Prec@5 82.031 (75.521)
Epoch: [49][11650/14090]	Time 0.871 (0.765)	Data 0.001 (0.001)	Loss 2.3107 (2.1836)	Prec@1 47.656 (44.870)	Prec@5 71.094 (75.522)
Epoch: [49][11660/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.0331 (2.1836)	Prec@1 51.562 (44.869)	Prec@5 78.906 (75.522)
Epoch: [49][11670/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 1.9009 (2.1836)	Prec@1 50.781 (44.871)	Prec@5 78.906 (75.522)
Epoch: [49][11680/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.6457 (2.1836)	Prec@1 35.938 (44.871)	Prec@5 71.875 (75.523)
Epoch: [49][11690/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.4098 (2.1836)	Prec@1 37.500 (44.873)	Prec@5 70.312 (75.523)
Epoch: [49][11700/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.1097 (2.1836)	Prec@1 47.656 (44.872)	Prec@5 75.781 (75.522)
Epoch: [49][11710/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.1160 (2.1836)	Prec@1 47.656 (44.870)	Prec@5 73.438 (75.522)
Epoch: [49][11720/14090]	Time 0.854 (0.765)	Data 0.001 (0.001)	Loss 1.9042 (2.1836)	Prec@1 50.781 (44.870)	Prec@5 82.031 (75.523)
Epoch: [49][11730/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.3200 (2.1836)	Prec@1 42.969 (44.869)	Prec@5 75.000 (75.523)
Epoch: [49][11740/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.0225 (2.1835)	Prec@1 46.875 (44.871)	Prec@5 77.344 (75.526)
Epoch: [49][11750/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.2282 (2.1835)	Prec@1 44.531 (44.871)	Prec@5 73.438 (75.526)
Epoch: [49][11760/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.3170 (2.1835)	Prec@1 38.281 (44.869)	Prec@5 75.000 (75.526)
Epoch: [49][11770/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.0169 (2.1835)	Prec@1 50.000 (44.869)	Prec@5 80.469 (75.527)
Epoch: [49][11780/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.1968 (2.1835)	Prec@1 42.969 (44.868)	Prec@5 76.562 (75.527)
Epoch: [49][11790/14090]	Time 0.872 (0.765)	Data 0.001 (0.001)	Loss 1.9695 (2.1836)	Prec@1 52.344 (44.867)	Prec@5 78.906 (75.525)
Epoch: [49][11800/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.2124 (2.1836)	Prec@1 46.094 (44.868)	Prec@5 75.000 (75.524)
Epoch: [49][11810/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.2521 (2.1837)	Prec@1 48.438 (44.866)	Prec@5 72.656 (75.522)
Epoch: [49][11820/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.2910 (2.1837)	Prec@1 46.094 (44.865)	Prec@5 71.875 (75.522)
Epoch: [49][11830/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.1251 (2.1836)	Prec@1 50.781 (44.866)	Prec@5 73.438 (75.525)
Epoch: [49][11840/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 2.0354 (2.1836)	Prec@1 47.656 (44.867)	Prec@5 76.562 (75.525)
Epoch: [49][11850/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.2865 (2.1836)	Prec@1 42.188 (44.866)	Prec@5 71.094 (75.526)
Epoch: [49][11860/14090]	Time 0.859 (0.765)	Data 0.001 (0.001)	Loss 1.9216 (2.1835)	Prec@1 45.312 (44.867)	Prec@5 81.250 (75.525)
Epoch: [49][11870/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.1676 (2.1836)	Prec@1 45.312 (44.865)	Prec@5 76.562 (75.524)
Epoch: [49][11880/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.0476 (2.1836)	Prec@1 49.219 (44.866)	Prec@5 76.562 (75.524)
Epoch: [49][11890/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.1829 (2.1837)	Prec@1 42.188 (44.865)	Prec@5 74.219 (75.523)
Epoch: [49][11900/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.2654 (2.1836)	Prec@1 40.625 (44.866)	Prec@5 76.562 (75.524)
Epoch: [49][11910/14090]	Time 0.782 (0.765)	Data 0.001 (0.001)	Loss 2.2538 (2.1836)	Prec@1 46.094 (44.865)	Prec@5 72.656 (75.524)
Epoch: [49][11920/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.0624 (2.1836)	Prec@1 50.000 (44.865)	Prec@5 76.562 (75.523)
Epoch: [49][11930/14090]	Time 0.830 (0.765)	Data 0.001 (0.001)	Loss 2.1621 (2.1836)	Prec@1 47.656 (44.867)	Prec@5 74.219 (75.523)
Epoch: [49][11940/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.3465 (2.1836)	Prec@1 41.406 (44.866)	Prec@5 72.656 (75.523)
Epoch: [49][11950/14090]	Time 0.773 (0.765)	Data 0.001 (0.001)	Loss 2.4632 (2.1837)	Prec@1 36.719 (44.864)	Prec@5 67.969 (75.522)
Epoch: [49][11960/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.1143 (2.1838)	Prec@1 43.750 (44.864)	Prec@5 76.562 (75.520)
Epoch: [49][11970/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.0594 (2.1839)	Prec@1 46.875 (44.862)	Prec@5 75.781 (75.518)
Epoch: [49][11980/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.0958 (2.1839)	Prec@1 46.094 (44.863)	Prec@5 78.906 (75.517)
Epoch: [49][11990/14090]	Time 0.722 (0.765)	Data 0.001 (0.001)	Loss 2.3326 (2.1839)	Prec@1 44.531 (44.862)	Prec@5 73.438 (75.516)
Epoch: [49][12000/14090]	Time 0.888 (0.765)	Data 0.001 (0.001)	Loss 2.2427 (2.1839)	Prec@1 50.781 (44.863)	Prec@5 74.219 (75.516)
Epoch: [49][12010/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.2843 (2.1839)	Prec@1 42.188 (44.864)	Prec@5 72.656 (75.517)
Epoch: [49][12020/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.2650 (2.1839)	Prec@1 43.750 (44.864)	Prec@5 74.219 (75.517)
Epoch: [49][12030/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 1.9724 (2.1839)	Prec@1 46.875 (44.862)	Prec@5 79.688 (75.516)
Epoch: [49][12040/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.1429 (2.1839)	Prec@1 46.094 (44.862)	Prec@5 76.562 (75.515)
Epoch: [49][12050/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.2349 (2.1839)	Prec@1 42.969 (44.862)	Prec@5 71.875 (75.514)
Epoch: [49][12060/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 1.7534 (2.1839)	Prec@1 53.906 (44.862)	Prec@5 87.500 (75.514)
Epoch: [49][12070/14090]	Time 0.882 (0.765)	Data 0.001 (0.001)	Loss 1.8990 (2.1839)	Prec@1 55.469 (44.862)	Prec@5 78.125 (75.515)
Epoch: [49][12080/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.2202 (2.1839)	Prec@1 47.656 (44.862)	Prec@5 70.312 (75.514)
Epoch: [49][12090/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.0831 (2.1839)	Prec@1 46.875 (44.860)	Prec@5 78.125 (75.515)
Epoch: [49][12100/14090]	Time 0.773 (0.765)	Data 0.001 (0.001)	Loss 2.2312 (2.1839)	Prec@1 36.719 (44.861)	Prec@5 80.469 (75.515)
Epoch: [49][12110/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.2230 (2.1839)	Prec@1 46.875 (44.861)	Prec@5 76.562 (75.516)
Epoch: [49][12120/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 2.3725 (2.1839)	Prec@1 42.969 (44.861)	Prec@5 70.312 (75.516)
Epoch: [49][12130/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.1945 (2.1838)	Prec@1 48.438 (44.863)	Prec@5 77.344 (75.518)
Epoch: [49][12140/14090]	Time 0.865 (0.765)	Data 0.001 (0.001)	Loss 2.0963 (2.1839)	Prec@1 42.188 (44.862)	Prec@5 78.906 (75.519)
Epoch: [49][12150/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.1533 (2.1839)	Prec@1 40.625 (44.860)	Prec@5 83.594 (75.518)
Epoch: [49][12160/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.0907 (2.1840)	Prec@1 47.656 (44.860)	Prec@5 77.344 (75.516)
Epoch: [49][12170/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.2844 (2.1840)	Prec@1 41.406 (44.858)	Prec@5 77.344 (75.516)
Epoch: [49][12180/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.1741 (2.1841)	Prec@1 41.406 (44.858)	Prec@5 75.781 (75.514)
Epoch: [49][12190/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.2631 (2.1841)	Prec@1 43.750 (44.858)	Prec@5 75.000 (75.514)
Epoch: [49][12200/14090]	Time 0.766 (0.765)	Data 0.001 (0.001)	Loss 2.0293 (2.1841)	Prec@1 48.438 (44.859)	Prec@5 77.344 (75.515)
Epoch: [49][12210/14090]	Time 0.860 (0.765)	Data 0.001 (0.001)	Loss 2.1111 (2.1840)	Prec@1 47.656 (44.859)	Prec@5 73.438 (75.516)
Epoch: [49][12220/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 2.3306 (2.1840)	Prec@1 35.156 (44.859)	Prec@5 71.875 (75.516)
Epoch: [49][12230/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.0756 (2.1840)	Prec@1 48.438 (44.860)	Prec@5 78.125 (75.516)
Epoch: [49][12240/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.3285 (2.1840)	Prec@1 42.969 (44.859)	Prec@5 74.219 (75.516)
Epoch: [49][12250/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.4231 (2.1839)	Prec@1 42.969 (44.860)	Prec@5 69.531 (75.517)
Epoch: [49][12260/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.1091 (2.1840)	Prec@1 46.875 (44.860)	Prec@5 77.344 (75.517)
Epoch: [49][12270/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.1145 (2.1839)	Prec@1 46.875 (44.861)	Prec@5 80.469 (75.518)
Epoch: [49][12280/14090]	Time 0.892 (0.765)	Data 0.001 (0.001)	Loss 1.8829 (2.1839)	Prec@1 48.438 (44.861)	Prec@5 78.906 (75.518)
Epoch: [49][12290/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.4016 (2.1839)	Prec@1 43.750 (44.861)	Prec@5 67.188 (75.518)
Epoch: [49][12300/14090]	Time 0.792 (0.765)	Data 0.001 (0.001)	Loss 2.2534 (2.1840)	Prec@1 42.188 (44.859)	Prec@5 70.312 (75.515)
Epoch: [49][12310/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.0430 (2.1840)	Prec@1 44.531 (44.858)	Prec@5 76.562 (75.515)
Epoch: [49][12320/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.2943 (2.1840)	Prec@1 44.531 (44.857)	Prec@5 75.781 (75.515)
Epoch: [49][12330/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.6386 (2.1841)	Prec@1 35.156 (44.857)	Prec@5 73.438 (75.514)
Epoch: [49][12340/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.3788 (2.1841)	Prec@1 50.000 (44.857)	Prec@5 71.094 (75.513)
Epoch: [49][12350/14090]	Time 0.875 (0.765)	Data 0.001 (0.001)	Loss 2.1390 (2.1841)	Prec@1 49.219 (44.858)	Prec@5 73.438 (75.514)
Epoch: [49][12360/14090]	Time 0.785 (0.765)	Data 0.002 (0.001)	Loss 2.1361 (2.1841)	Prec@1 53.125 (44.856)	Prec@5 75.781 (75.513)
Epoch: [49][12370/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.4331 (2.1841)	Prec@1 47.656 (44.856)	Prec@5 70.312 (75.514)
Epoch: [49][12380/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.2287 (2.1840)	Prec@1 44.531 (44.858)	Prec@5 73.438 (75.515)
Epoch: [49][12390/14090]	Time 0.766 (0.765)	Data 0.001 (0.001)	Loss 2.1665 (2.1840)	Prec@1 45.312 (44.859)	Prec@5 75.781 (75.516)
Epoch: [49][12400/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.1934 (2.1840)	Prec@1 42.969 (44.860)	Prec@5 71.875 (75.516)
Epoch: [49][12410/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.3189 (2.1841)	Prec@1 46.094 (44.859)	Prec@5 68.750 (75.514)
Epoch: [49][12420/14090]	Time 0.878 (0.765)	Data 0.001 (0.001)	Loss 2.1346 (2.1841)	Prec@1 46.094 (44.861)	Prec@5 76.562 (75.513)
Epoch: [49][12430/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.3001 (2.1841)	Prec@1 39.844 (44.862)	Prec@5 76.562 (75.512)
Epoch: [49][12440/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.4976 (2.1841)	Prec@1 40.625 (44.862)	Prec@5 68.750 (75.511)
Epoch: [49][12450/14090]	Time 0.722 (0.765)	Data 0.001 (0.001)	Loss 1.9914 (2.1842)	Prec@1 46.875 (44.861)	Prec@5 77.344 (75.511)
Epoch: [49][12460/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.2707 (2.1841)	Prec@1 44.531 (44.862)	Prec@5 73.438 (75.512)
Epoch: [49][12470/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.3370 (2.1841)	Prec@1 41.406 (44.860)	Prec@5 72.656 (75.513)
Epoch: [49][12480/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.1524 (2.1841)	Prec@1 39.062 (44.860)	Prec@5 78.906 (75.513)
Epoch: [49][12490/14090]	Time 0.868 (0.765)	Data 0.001 (0.001)	Loss 1.8583 (2.1841)	Prec@1 49.219 (44.859)	Prec@5 78.906 (75.513)
Epoch: [49][12500/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 1.9844 (2.1841)	Prec@1 50.000 (44.859)	Prec@5 79.688 (75.512)
Epoch: [49][12510/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.1768 (2.1841)	Prec@1 39.844 (44.858)	Prec@5 74.219 (75.513)
Epoch: [49][12520/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.1757 (2.1841)	Prec@1 41.406 (44.858)	Prec@5 74.219 (75.513)
Epoch: [49][12530/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.2661 (2.1841)	Prec@1 43.750 (44.859)	Prec@5 78.125 (75.513)
Epoch: [49][12540/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.1860 (2.1841)	Prec@1 45.312 (44.860)	Prec@5 71.094 (75.512)
Epoch: [49][12550/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.4963 (2.1842)	Prec@1 39.844 (44.860)	Prec@5 67.969 (75.511)
Epoch: [49][12560/14090]	Time 0.872 (0.765)	Data 0.001 (0.001)	Loss 2.0319 (2.1841)	Prec@1 45.312 (44.862)	Prec@5 76.562 (75.511)
Epoch: [49][12570/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.2697 (2.1842)	Prec@1 44.531 (44.859)	Prec@5 70.312 (75.511)
Epoch: [49][12580/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.3931 (2.1843)	Prec@1 42.188 (44.857)	Prec@5 70.312 (75.507)
Epoch: [49][12590/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.2313 (2.1843)	Prec@1 45.312 (44.856)	Prec@5 73.438 (75.507)
Epoch: [49][12600/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.0921 (2.1843)	Prec@1 49.219 (44.858)	Prec@5 79.688 (75.508)
Epoch: [49][12610/14090]	Time 0.722 (0.765)	Data 0.001 (0.001)	Loss 2.0257 (2.1843)	Prec@1 51.562 (44.858)	Prec@5 75.781 (75.508)
Epoch: [49][12620/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 1.7094 (2.1843)	Prec@1 56.250 (44.858)	Prec@5 84.375 (75.507)
Epoch: [49][12630/14090]	Time 0.870 (0.765)	Data 0.001 (0.001)	Loss 1.8953 (2.1844)	Prec@1 56.250 (44.858)	Prec@5 78.906 (75.505)
Epoch: [49][12640/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 1.8782 (2.1843)	Prec@1 47.656 (44.858)	Prec@5 84.375 (75.506)
Epoch: [49][12650/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.3417 (2.1844)	Prec@1 40.625 (44.856)	Prec@5 76.562 (75.505)
Epoch: [49][12660/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.4488 (2.1844)	Prec@1 37.500 (44.855)	Prec@5 67.188 (75.504)
Epoch: [49][12670/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 1.9503 (2.1844)	Prec@1 46.875 (44.855)	Prec@5 81.250 (75.504)
Epoch: [49][12680/14090]	Time 0.719 (0.765)	Data 0.001 (0.001)	Loss 2.1260 (2.1844)	Prec@1 51.562 (44.856)	Prec@5 79.688 (75.504)
Epoch: [49][12690/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.2082 (2.1844)	Prec@1 46.094 (44.858)	Prec@5 74.219 (75.504)
Epoch: [49][12700/14090]	Time 0.856 (0.765)	Data 0.001 (0.001)	Loss 2.0713 (2.1844)	Prec@1 44.531 (44.856)	Prec@5 78.125 (75.504)
Epoch: [49][12710/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.0746 (2.1844)	Prec@1 50.000 (44.857)	Prec@5 75.781 (75.505)
Epoch: [49][12720/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.1575 (2.1844)	Prec@1 42.969 (44.857)	Prec@5 75.781 (75.505)
Epoch: [49][12730/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 1.9861 (2.1844)	Prec@1 47.656 (44.857)	Prec@5 81.250 (75.506)
Epoch: [49][12740/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 1.9639 (2.1843)	Prec@1 50.781 (44.858)	Prec@5 78.906 (75.507)
Epoch: [49][12750/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.4457 (2.1844)	Prec@1 42.188 (44.858)	Prec@5 68.750 (75.506)
Epoch: [49][12760/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.0267 (2.1844)	Prec@1 44.531 (44.857)	Prec@5 77.344 (75.507)
Epoch: [49][12770/14090]	Time 0.880 (0.765)	Data 0.001 (0.001)	Loss 2.4732 (2.1844)	Prec@1 42.188 (44.856)	Prec@5 69.531 (75.506)
Epoch: [49][12780/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.1223 (2.1845)	Prec@1 45.312 (44.855)	Prec@5 75.781 (75.506)
Epoch: [49][12790/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.1886 (2.1845)	Prec@1 40.625 (44.854)	Prec@5 78.906 (75.506)
Epoch: [49][12800/14090]	Time 0.779 (0.765)	Data 0.001 (0.001)	Loss 1.9382 (2.1845)	Prec@1 50.781 (44.855)	Prec@5 80.469 (75.507)
Epoch: [49][12810/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 1.7262 (2.1844)	Prec@1 52.344 (44.856)	Prec@5 83.594 (75.508)
Epoch: [49][12820/14090]	Time 0.719 (0.765)	Data 0.001 (0.001)	Loss 2.0227 (2.1844)	Prec@1 45.312 (44.855)	Prec@5 78.125 (75.507)
Epoch: [49][12830/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.1482 (2.1844)	Prec@1 46.094 (44.856)	Prec@5 77.344 (75.507)
Epoch: [49][12840/14090]	Time 0.883 (0.765)	Data 0.001 (0.001)	Loss 2.4294 (2.1844)	Prec@1 39.844 (44.856)	Prec@5 74.219 (75.508)
Epoch: [49][12850/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.3234 (2.1843)	Prec@1 43.750 (44.856)	Prec@5 74.219 (75.509)
Epoch: [49][12860/14090]	Time 0.772 (0.765)	Data 0.001 (0.001)	Loss 2.3509 (2.1844)	Prec@1 37.500 (44.854)	Prec@5 75.781 (75.509)
Epoch: [49][12870/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.2052 (2.1844)	Prec@1 43.750 (44.854)	Prec@5 74.219 (75.509)
Epoch: [49][12880/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.2569 (2.1844)	Prec@1 43.750 (44.853)	Prec@5 74.219 (75.509)
Epoch: [49][12890/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 2.2827 (2.1844)	Prec@1 45.312 (44.852)	Prec@5 71.875 (75.509)
Epoch: [49][12900/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.1153 (2.1844)	Prec@1 50.781 (44.850)	Prec@5 74.219 (75.508)
Epoch: [49][12910/14090]	Time 0.862 (0.765)	Data 0.001 (0.001)	Loss 1.9527 (2.1844)	Prec@1 49.219 (44.851)	Prec@5 79.688 (75.509)
Epoch: [49][12920/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.1380 (2.1844)	Prec@1 46.094 (44.851)	Prec@5 76.562 (75.510)
Epoch: [49][12930/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 1.9005 (2.1843)	Prec@1 48.438 (44.851)	Prec@5 81.250 (75.511)
Epoch: [49][12940/14090]	Time 0.777 (0.765)	Data 0.001 (0.001)	Loss 2.0318 (2.1843)	Prec@1 46.094 (44.850)	Prec@5 79.688 (75.512)
Epoch: [49][12950/14090]	Time 0.771 (0.765)	Data 0.001 (0.001)	Loss 2.4023 (2.1843)	Prec@1 50.000 (44.851)	Prec@5 73.438 (75.511)
Epoch: [49][12960/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.1558 (2.1843)	Prec@1 42.188 (44.852)	Prec@5 75.781 (75.512)
Epoch: [49][12970/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.3130 (2.1842)	Prec@1 42.969 (44.854)	Prec@5 72.656 (75.513)
Epoch: [49][12980/14090]	Time 0.861 (0.765)	Data 0.001 (0.001)	Loss 2.3911 (2.1843)	Prec@1 44.531 (44.852)	Prec@5 69.531 (75.513)
Epoch: [49][12990/14090]	Time 0.774 (0.765)	Data 0.001 (0.001)	Loss 1.9783 (2.1843)	Prec@1 51.562 (44.851)	Prec@5 76.562 (75.512)
Epoch: [49][13000/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.2826 (2.1843)	Prec@1 45.312 (44.850)	Prec@5 72.656 (75.512)
Epoch: [49][13010/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.1121 (2.1844)	Prec@1 42.969 (44.849)	Prec@5 75.781 (75.510)
Epoch: [49][13020/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.5600 (2.1844)	Prec@1 38.281 (44.848)	Prec@5 69.531 (75.511)
Epoch: [49][13030/14090]	Time 0.772 (0.765)	Data 0.001 (0.001)	Loss 2.0861 (2.1845)	Prec@1 50.781 (44.849)	Prec@5 77.344 (75.509)
Epoch: [49][13040/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.2103 (2.1845)	Prec@1 45.312 (44.848)	Prec@5 75.000 (75.509)
Epoch: [49][13050/14090]	Time 0.884 (0.765)	Data 0.001 (0.001)	Loss 2.2633 (2.1845)	Prec@1 47.656 (44.850)	Prec@5 72.656 (75.509)
Epoch: [49][13060/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.3842 (2.1844)	Prec@1 44.531 (44.852)	Prec@5 66.406 (75.510)
Epoch: [49][13070/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.1702 (2.1844)	Prec@1 40.625 (44.852)	Prec@5 75.000 (75.511)
Epoch: [49][13080/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 1.8895 (2.1843)	Prec@1 50.781 (44.853)	Prec@5 79.688 (75.511)
Epoch: [49][13090/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.1502 (2.1844)	Prec@1 44.531 (44.853)	Prec@5 76.562 (75.512)
Epoch: [49][13100/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.0868 (2.1844)	Prec@1 41.406 (44.853)	Prec@5 75.000 (75.511)
Epoch: [49][13110/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.1226 (2.1843)	Prec@1 50.781 (44.855)	Prec@5 76.562 (75.512)
Epoch: [49][13120/14090]	Time 0.851 (0.765)	Data 0.001 (0.001)	Loss 2.2064 (2.1843)	Prec@1 43.750 (44.855)	Prec@5 78.125 (75.514)
Epoch: [49][13130/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.0890 (2.1843)	Prec@1 49.219 (44.856)	Prec@5 75.781 (75.514)
Epoch: [49][13140/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.2680 (2.1842)	Prec@1 42.969 (44.856)	Prec@5 74.219 (75.513)
Epoch: [49][13150/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.1611 (2.1842)	Prec@1 50.000 (44.856)	Prec@5 76.562 (75.512)
Epoch: [49][13160/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.1927 (2.1843)	Prec@1 41.406 (44.855)	Prec@5 71.875 (75.511)
Epoch: [49][13170/14090]	Time 0.759 (0.765)	Data 0.002 (0.001)	Loss 2.0785 (2.1844)	Prec@1 44.531 (44.854)	Prec@5 77.344 (75.510)
Epoch: [49][13180/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.0659 (2.1844)	Prec@1 50.000 (44.854)	Prec@5 71.875 (75.509)
Epoch: [49][13190/14090]	Time 0.920 (0.765)	Data 0.001 (0.001)	Loss 2.2671 (2.1844)	Prec@1 44.531 (44.853)	Prec@5 79.688 (75.508)
Epoch: [49][13200/14090]	Time 0.774 (0.765)	Data 0.001 (0.001)	Loss 2.3875 (2.1845)	Prec@1 36.719 (44.851)	Prec@5 73.438 (75.507)
Epoch: [49][13210/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.3619 (2.1845)	Prec@1 39.062 (44.851)	Prec@5 71.094 (75.505)
Epoch: [49][13220/14090]	Time 0.718 (0.765)	Data 0.001 (0.001)	Loss 2.0443 (2.1845)	Prec@1 43.750 (44.851)	Prec@5 79.688 (75.505)
Epoch: [49][13230/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.0858 (2.1844)	Prec@1 47.656 (44.853)	Prec@5 76.562 (75.506)
Epoch: [49][13240/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.1701 (2.1845)	Prec@1 46.875 (44.852)	Prec@5 74.219 (75.506)
Epoch: [49][13250/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.1837 (2.1845)	Prec@1 46.875 (44.852)	Prec@5 75.781 (75.506)
Epoch: [49][13260/14090]	Time 0.820 (0.765)	Data 0.001 (0.001)	Loss 2.2003 (2.1845)	Prec@1 45.312 (44.852)	Prec@5 73.438 (75.506)
Epoch: [49][13270/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.4119 (2.1845)	Prec@1 39.844 (44.851)	Prec@5 74.219 (75.506)
Epoch: [49][13280/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.1493 (2.1845)	Prec@1 42.969 (44.849)	Prec@5 76.562 (75.505)
Epoch: [49][13290/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.1603 (2.1846)	Prec@1 47.656 (44.849)	Prec@5 75.000 (75.504)
Epoch: [49][13300/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.2950 (2.1846)	Prec@1 45.312 (44.848)	Prec@5 73.438 (75.504)
Epoch: [49][13310/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 1.9918 (2.1846)	Prec@1 48.438 (44.846)	Prec@5 78.125 (75.504)
Epoch: [49][13320/14090]	Time 0.768 (0.765)	Data 0.001 (0.001)	Loss 2.2122 (2.1846)	Prec@1 45.312 (44.845)	Prec@5 74.219 (75.502)
Epoch: [49][13330/14090]	Time 0.835 (0.765)	Data 0.001 (0.001)	Loss 2.2292 (2.1846)	Prec@1 46.875 (44.846)	Prec@5 74.219 (75.502)
Epoch: [49][13340/14090]	Time 0.721 (0.765)	Data 0.001 (0.001)	Loss 2.2277 (2.1846)	Prec@1 42.969 (44.847)	Prec@5 78.906 (75.503)
Epoch: [49][13350/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.3430 (2.1846)	Prec@1 42.188 (44.847)	Prec@5 71.094 (75.501)
Epoch: [49][13360/14090]	Time 0.778 (0.765)	Data 0.001 (0.001)	Loss 2.1529 (2.1846)	Prec@1 42.969 (44.847)	Prec@5 73.438 (75.500)
Epoch: [49][13370/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.2693 (2.1846)	Prec@1 39.844 (44.848)	Prec@5 75.781 (75.500)
Epoch: [49][13380/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.3311 (2.1846)	Prec@1 44.531 (44.849)	Prec@5 73.438 (75.500)
Epoch: [49][13390/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 1.9965 (2.1846)	Prec@1 48.438 (44.848)	Prec@5 79.688 (75.500)
Epoch: [49][13400/14090]	Time 0.853 (0.765)	Data 0.001 (0.001)	Loss 2.0420 (2.1846)	Prec@1 48.438 (44.847)	Prec@5 80.469 (75.501)
Epoch: [49][13410/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.3508 (2.1846)	Prec@1 41.406 (44.846)	Prec@5 67.969 (75.500)
Epoch: [49][13420/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.4046 (2.1846)	Prec@1 43.750 (44.846)	Prec@5 71.875 (75.501)
Epoch: [49][13430/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.3562 (2.1846)	Prec@1 42.969 (44.847)	Prec@5 67.969 (75.502)
Epoch: [49][13440/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.3495 (2.1846)	Prec@1 46.094 (44.845)	Prec@5 71.875 (75.501)
Epoch: [49][13450/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.2421 (2.1846)	Prec@1 45.312 (44.846)	Prec@5 75.781 (75.501)
Epoch: [49][13460/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.0212 (2.1847)	Prec@1 47.656 (44.845)	Prec@5 79.688 (75.500)
Epoch: [49][13470/14090]	Time 0.890 (0.765)	Data 0.001 (0.001)	Loss 2.3597 (2.1847)	Prec@1 44.531 (44.843)	Prec@5 77.344 (75.499)
Epoch: [49][13480/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.2491 (2.1847)	Prec@1 40.625 (44.842)	Prec@5 75.781 (75.499)
Epoch: [49][13490/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 2.3372 (2.1848)	Prec@1 43.750 (44.841)	Prec@5 73.438 (75.499)
Epoch: [49][13500/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.0875 (2.1848)	Prec@1 44.531 (44.841)	Prec@5 78.906 (75.500)
Epoch: [49][13510/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.2869 (2.1848)	Prec@1 39.844 (44.841)	Prec@5 71.875 (75.500)
Epoch: [49][13520/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.1308 (2.1848)	Prec@1 47.656 (44.841)	Prec@5 71.875 (75.499)
Epoch: [49][13530/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.4088 (2.1848)	Prec@1 38.281 (44.840)	Prec@5 70.312 (75.497)
Epoch: [49][13540/14090]	Time 0.861 (0.765)	Data 0.001 (0.001)	Loss 2.2484 (2.1848)	Prec@1 40.625 (44.840)	Prec@5 73.438 (75.497)
Epoch: [49][13550/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 2.1047 (2.1848)	Prec@1 46.875 (44.840)	Prec@5 78.125 (75.497)
Epoch: [49][13560/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 1.9792 (2.1848)	Prec@1 53.125 (44.841)	Prec@5 79.688 (75.497)
Epoch: [49][13570/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.2850 (2.1848)	Prec@1 45.312 (44.841)	Prec@5 72.656 (75.498)
Epoch: [49][13580/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.1425 (2.1848)	Prec@1 43.750 (44.842)	Prec@5 79.688 (75.499)
Epoch: [49][13590/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 1.8623 (2.1847)	Prec@1 49.219 (44.843)	Prec@5 81.250 (75.501)
Epoch: [49][13600/14090]	Time 0.722 (0.765)	Data 0.001 (0.001)	Loss 2.2105 (2.1847)	Prec@1 43.750 (44.844)	Prec@5 74.219 (75.502)
Epoch: [49][13610/14090]	Time 0.826 (0.765)	Data 0.001 (0.001)	Loss 2.0366 (2.1846)	Prec@1 47.656 (44.845)	Prec@5 78.125 (75.503)
Epoch: [49][13620/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.0063 (2.1846)	Prec@1 52.344 (44.845)	Prec@5 75.781 (75.502)
Epoch: [49][13630/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.5487 (2.1847)	Prec@1 41.406 (44.844)	Prec@5 71.875 (75.500)
Epoch: [49][13640/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.1214 (2.1848)	Prec@1 46.094 (44.843)	Prec@5 74.219 (75.499)
Epoch: [49][13650/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.1095 (2.1848)	Prec@1 44.531 (44.843)	Prec@5 78.906 (75.500)
Epoch: [49][13660/14090]	Time 0.721 (0.765)	Data 0.001 (0.001)	Loss 2.3250 (2.1848)	Prec@1 47.656 (44.843)	Prec@5 74.219 (75.500)
Epoch: [49][13670/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.1206 (2.1848)	Prec@1 45.312 (44.843)	Prec@5 77.344 (75.500)
Epoch: [49][13680/14090]	Time 0.899 (0.765)	Data 0.001 (0.001)	Loss 2.0557 (2.1848)	Prec@1 50.000 (44.842)	Prec@5 76.562 (75.499)
Epoch: [49][13690/14090]	Time 0.767 (0.765)	Data 0.001 (0.001)	Loss 2.2486 (2.1848)	Prec@1 41.406 (44.840)	Prec@5 75.781 (75.500)
Epoch: [49][13700/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.1630 (2.1848)	Prec@1 50.781 (44.842)	Prec@5 75.781 (75.501)
Epoch: [49][13710/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.0840 (2.1848)	Prec@1 46.094 (44.842)	Prec@5 77.344 (75.501)
Epoch: [49][13720/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 1.8365 (2.1848)	Prec@1 51.562 (44.842)	Prec@5 79.688 (75.500)
Epoch: [49][13730/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.4682 (2.1848)	Prec@1 42.969 (44.842)	Prec@5 66.406 (75.500)
Epoch: [49][13740/14090]	Time 0.768 (0.765)	Data 0.001 (0.001)	Loss 2.3562 (2.1848)	Prec@1 41.406 (44.842)	Prec@5 74.219 (75.499)
Epoch: [49][13750/14090]	Time 0.892 (0.765)	Data 0.001 (0.001)	Loss 2.2278 (2.1848)	Prec@1 44.531 (44.843)	Prec@5 71.875 (75.499)
Epoch: [49][13760/14090]	Time 0.782 (0.765)	Data 0.001 (0.001)	Loss 2.1881 (2.1848)	Prec@1 47.656 (44.843)	Prec@5 78.906 (75.499)
Epoch: [49][13770/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.1174 (2.1849)	Prec@1 50.000 (44.841)	Prec@5 73.438 (75.498)
Epoch: [49][13780/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.3000 (2.1849)	Prec@1 43.750 (44.840)	Prec@5 75.000 (75.497)
Epoch: [49][13790/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.1782 (2.1849)	Prec@1 42.188 (44.839)	Prec@5 75.000 (75.496)
Epoch: [49][13800/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.1980 (2.1849)	Prec@1 51.562 (44.841)	Prec@5 70.312 (75.496)
Epoch: [49][13810/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.1808 (2.1848)	Prec@1 40.625 (44.842)	Prec@5 78.125 (75.498)
Epoch: [49][13820/14090]	Time 0.859 (0.765)	Data 0.001 (0.001)	Loss 1.9928 (2.1849)	Prec@1 46.875 (44.840)	Prec@5 82.812 (75.498)
Epoch: [49][13830/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 2.3760 (2.1850)	Prec@1 37.500 (44.838)	Prec@5 71.875 (75.496)
Epoch: [49][13840/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.2107 (2.1849)	Prec@1 40.625 (44.838)	Prec@5 75.781 (75.497)
Epoch: [49][13850/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.2753 (2.1848)	Prec@1 47.656 (44.839)	Prec@5 71.875 (75.498)
Epoch: [49][13860/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.0179 (2.1848)	Prec@1 44.531 (44.840)	Prec@5 78.906 (75.499)
Epoch: [49][13870/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 1.9406 (2.1848)	Prec@1 50.781 (44.840)	Prec@5 82.812 (75.499)
Epoch: [49][13880/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.3059 (2.1849)	Prec@1 44.531 (44.840)	Prec@5 72.656 (75.497)
Epoch: [49][13890/14090]	Time 0.858 (0.765)	Data 0.001 (0.001)	Loss 2.1018 (2.1848)	Prec@1 44.531 (44.840)	Prec@5 74.219 (75.498)
Epoch: [49][13900/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.1721 (2.1849)	Prec@1 44.531 (44.840)	Prec@5 76.562 (75.497)
Epoch: [49][13910/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.3550 (2.1849)	Prec@1 45.312 (44.839)	Prec@5 73.438 (75.496)
Epoch: [49][13920/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.1484 (2.1849)	Prec@1 46.875 (44.839)	Prec@5 75.000 (75.496)
Epoch: [49][13930/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 1.8538 (2.1850)	Prec@1 51.562 (44.838)	Prec@5 84.375 (75.495)
Epoch: [49][13940/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.1353 (2.1850)	Prec@1 51.562 (44.838)	Prec@5 78.125 (75.496)
Epoch: [49][13950/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.1190 (2.1849)	Prec@1 43.750 (44.839)	Prec@5 78.125 (75.497)
Epoch: [49][13960/14090]	Time 0.909 (0.765)	Data 0.001 (0.001)	Loss 2.2664 (2.1850)	Prec@1 47.656 (44.837)	Prec@5 75.000 (75.495)
Epoch: [49][13970/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.2599 (2.1850)	Prec@1 39.844 (44.839)	Prec@5 67.188 (75.495)
Epoch: [49][13980/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.4949 (2.1850)	Prec@1 38.281 (44.839)	Prec@5 71.875 (75.494)
Epoch: [49][13990/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 2.0438 (2.1849)	Prec@1 50.781 (44.840)	Prec@5 81.250 (75.494)
Epoch: [49][14000/14090]	Time 0.774 (0.765)	Data 0.001 (0.001)	Loss 2.2210 (2.1849)	Prec@1 45.312 (44.839)	Prec@5 73.438 (75.494)
Epoch: [49][14010/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.0617 (2.1850)	Prec@1 46.094 (44.839)	Prec@5 74.219 (75.494)
Epoch: [49][14020/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.0727 (2.1849)	Prec@1 42.969 (44.838)	Prec@5 78.125 (75.495)
Epoch: [49][14030/14090]	Time 0.887 (0.765)	Data 0.001 (0.001)	Loss 2.3322 (2.1850)	Prec@1 39.062 (44.838)	Prec@5 71.094 (75.495)
Epoch: [49][14040/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.3524 (2.1849)	Prec@1 46.094 (44.838)	Prec@5 71.875 (75.495)
Epoch: [49][14050/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.1397 (2.1850)	Prec@1 45.312 (44.839)	Prec@5 77.344 (75.494)
Epoch: [49][14060/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.2879 (2.1850)	Prec@1 40.625 (44.838)	Prec@5 74.219 (75.493)
Epoch: [49][14070/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.3739 (2.1850)	Prec@1 39.844 (44.839)	Prec@5 66.406 (75.493)
Epoch: [49][14080/14090]	Time 0.756 (0.765)	Data 0.000 (0.001)	Loss 2.4272 (2.1851)	Prec@1 45.312 (44.838)	Prec@5 72.656 (75.492)
Test: [0/286]	Time 4.864 (4.864)	Loss 1.4958 (1.4958)	Prec@1 55.469 (55.469)	Prec@5 93.750 (93.750)
Test: [10/286]	Time 0.266 (0.798)	Loss 2.0224 (2.0280)	Prec@1 44.531 (45.810)	Prec@5 85.156 (81.037)
Test: [20/286]	Time 0.230 (0.609)	Loss 1.5435 (1.9670)	Prec@1 59.375 (47.396)	Prec@5 90.625 (81.659)
Test: [30/286]	Time 0.229 (0.538)	Loss 2.3622 (1.8616)	Prec@1 34.375 (50.277)	Prec@5 76.562 (82.712)
Test: [40/286]	Time 1.554 (0.538)	Loss 1.7791 (1.8687)	Prec@1 50.000 (50.610)	Prec@5 85.156 (82.470)
Test: [50/286]	Time 0.239 (0.513)	Loss 0.5561 (1.8407)	Prec@1 89.844 (51.517)	Prec@5 93.750 (82.874)
Test: [60/286]	Time 0.229 (0.490)	Loss 3.1618 (1.8714)	Prec@1 29.688 (51.114)	Prec@5 57.812 (81.749)
Test: [70/286]	Time 0.308 (0.479)	Loss 1.0223 (1.8379)	Prec@1 76.562 (51.871)	Prec@5 93.750 (82.284)
Test: [80/286]	Time 0.275 (0.483)	Loss 2.2075 (1.8693)	Prec@1 43.750 (50.926)	Prec@5 70.312 (81.780)
Test: [90/286]	Time 0.337 (0.477)	Loss 2.3655 (1.8810)	Prec@1 38.281 (50.755)	Prec@5 80.469 (81.679)
Test: [100/286]	Time 0.291 (0.470)	Loss 2.1646 (1.8948)	Prec@1 31.250 (50.224)	Prec@5 85.938 (81.822)
Test: [110/286]	Time 0.228 (0.465)	Loss 2.1789 (1.9155)	Prec@1 43.750 (49.669)	Prec@5 75.000 (81.750)
Test: [120/286]	Time 1.218 (0.473)	Loss 1.7583 (1.8985)	Prec@1 61.719 (50.394)	Prec@5 81.250 (81.980)
Test: [130/286]	Time 0.228 (0.471)	Loss 1.0823 (1.8881)	Prec@1 71.875 (50.710)	Prec@5 93.750 (82.133)
Test: [140/286]	Time 0.291 (0.464)	Loss 2.0610 (1.8826)	Prec@1 51.562 (50.820)	Prec@5 77.344 (82.209)
Test: [150/286]	Time 0.250 (0.460)	Loss 2.9134 (1.8912)	Prec@1 25.781 (50.362)	Prec@5 69.531 (82.186)
Test: [160/286]	Time 1.180 (0.462)	Loss 3.0270 (1.8845)	Prec@1 21.094 (50.577)	Prec@5 60.938 (82.264)
Test: [170/286]	Time 0.474 (0.462)	Loss 1.8886 (1.8693)	Prec@1 50.000 (50.836)	Prec@5 83.594 (82.488)
Test: [180/286]	Time 0.224 (0.459)	Loss 1.9555 (1.8831)	Prec@1 56.250 (50.574)	Prec@5 80.469 (82.312)
Test: [190/286]	Time 0.232 (0.456)	Loss 2.8396 (1.9000)	Prec@1 14.844 (50.258)	Prec@5 72.656 (82.101)
Test: [200/286]	Time 0.722 (0.457)	Loss 1.8049 (1.8943)	Prec@1 61.719 (50.466)	Prec@5 85.938 (82.105)
Test: [210/286]	Time 0.704 (0.458)	Loss 2.0798 (1.8984)	Prec@1 50.781 (50.304)	Prec@5 80.469 (82.050)
Test: [220/286]	Time 0.340 (0.455)	Loss 3.0627 (1.9078)	Prec@1 25.000 (50.166)	Prec@5 67.188 (81.886)
Test: [230/286]	Time 0.236 (0.453)	Loss 1.2978 (1.9062)	Prec@1 65.625 (50.223)	Prec@5 88.281 (81.889)
Test: [240/286]	Time 0.822 (0.454)	Loss 2.1736 (1.9067)	Prec@1 39.062 (50.204)	Prec@5 79.688 (81.876)
Test: [250/286]	Time 0.230 (0.456)	Loss 1.7484 (1.8948)	Prec@1 49.219 (50.355)	Prec@5 85.938 (82.118)
Test: [260/286]	Time 0.241 (0.455)	Loss 1.8414 (1.8872)	Prec@1 54.688 (50.551)	Prec@5 81.250 (82.226)
Test: [270/286]	Time 0.308 (0.452)	Loss 1.1761 (1.8868)	Prec@1 71.094 (50.611)	Prec@5 92.188 (82.190)
Test: [280/286]	Time 0.705 (0.452)	Loss 1.6963 (1.8767)	Prec@1 59.375 (50.965)	Prec@5 89.844 (82.320)
 * Prec@1 51.084 Prec@5 82.367
Epoch: [50][0/14090]	Time 6.200 (6.200)	Data 5.261 (5.261)	Loss 2.1196 (2.1196)	Prec@1 46.875 (46.875)	Prec@5 82.812 (82.812)
Epoch: [50][10/14090]	Time 0.750 (1.238)	Data 0.001 (0.479)	Loss 2.1279 (2.1917)	Prec@1 49.219 (44.176)	Prec@5 75.781 (76.136)
Epoch: [50][20/14090]	Time 0.732 (1.002)	Data 0.001 (0.251)	Loss 2.2556 (2.2110)	Prec@1 40.625 (44.010)	Prec@5 77.344 (75.893)
Epoch: [50][30/14090]	Time 0.731 (0.927)	Data 0.001 (0.171)	Loss 1.8612 (2.1824)	Prec@1 51.562 (45.186)	Prec@5 78.125 (75.655)
Epoch: [50][40/14090]	Time 0.761 (0.886)	Data 0.001 (0.129)	Loss 2.0180 (2.1694)	Prec@1 49.219 (45.465)	Prec@5 76.562 (75.991)
Epoch: [50][50/14090]	Time 0.754 (0.862)	Data 0.001 (0.104)	Loss 2.0993 (2.1495)	Prec@1 48.438 (45.803)	Prec@5 73.438 (76.271)
Epoch: [50][60/14090]	Time 0.775 (0.845)	Data 0.001 (0.087)	Loss 2.1374 (2.1433)	Prec@1 48.438 (45.850)	Prec@5 79.688 (76.140)
Epoch: [50][70/14090]	Time 0.872 (0.837)	Data 0.001 (0.075)	Loss 2.0834 (2.1597)	Prec@1 50.781 (45.522)	Prec@5 77.344 (75.869)
Epoch: [50][80/14090]	Time 0.720 (0.826)	Data 0.001 (0.066)	Loss 2.0533 (2.1589)	Prec@1 46.875 (45.448)	Prec@5 78.906 (75.878)
Epoch: [50][90/14090]	Time 0.748 (0.819)	Data 0.001 (0.059)	Loss 2.5901 (2.1637)	Prec@1 40.625 (45.390)	Prec@5 65.625 (75.798)
Epoch: [50][100/14090]	Time 0.753 (0.816)	Data 0.001 (0.053)	Loss 2.1582 (2.1680)	Prec@1 43.750 (45.212)	Prec@5 73.438 (75.657)
Epoch: [50][110/14090]	Time 0.745 (0.811)	Data 0.001 (0.048)	Loss 2.2062 (2.1691)	Prec@1 50.781 (45.256)	Prec@5 75.000 (75.655)
Epoch: [50][120/14090]	Time 0.763 (0.810)	Data 0.001 (0.044)	Loss 2.0959 (2.1664)	Prec@1 50.000 (45.312)	Prec@5 75.000 (75.639)
Epoch: [50][130/14090]	Time 0.738 (0.806)	Data 0.001 (0.041)	Loss 2.0243 (2.1657)	Prec@1 51.562 (45.396)	Prec@5 77.344 (75.698)
Epoch: [50][140/14090]	Time 0.959 (0.805)	Data 0.001 (0.038)	Loss 2.0038 (2.1650)	Prec@1 48.438 (45.434)	Prec@5 82.812 (75.809)
Epoch: [50][150/14090]	Time 0.781 (0.802)	Data 0.001 (0.036)	Loss 2.4577 (2.1674)	Prec@1 44.531 (45.344)	Prec@5 69.531 (75.812)
Epoch: [50][160/14090]	Time 0.729 (0.800)	Data 0.001 (0.034)	Loss 2.0196 (2.1684)	Prec@1 50.000 (45.279)	Prec@5 81.250 (75.869)
Epoch: [50][170/14090]	Time 0.758 (0.799)	Data 0.001 (0.032)	Loss 2.1639 (2.1714)	Prec@1 43.750 (45.221)	Prec@5 71.094 (75.809)
Epoch: [50][180/14090]	Time 0.761 (0.797)	Data 0.001 (0.030)	Loss 2.4100 (2.1662)	Prec@1 45.312 (45.330)	Prec@5 70.312 (75.863)
Epoch: [50][190/14090]	Time 0.770 (0.796)	Data 0.001 (0.028)	Loss 2.0450 (2.1683)	Prec@1 45.312 (45.276)	Prec@5 82.031 (75.794)
Epoch: [50][200/14090]	Time 0.751 (0.794)	Data 0.001 (0.027)	Loss 2.4709 (2.1679)	Prec@1 36.719 (45.204)	Prec@5 67.969 (75.801)
Epoch: [50][210/14090]	Time 0.931 (0.794)	Data 0.001 (0.026)	Loss 2.0069 (2.1679)	Prec@1 53.125 (45.272)	Prec@5 78.906 (75.759)
Epoch: [50][220/14090]	Time 0.751 (0.792)	Data 0.001 (0.025)	Loss 2.1302 (2.1712)	Prec@1 49.219 (45.196)	Prec@5 76.562 (75.721)
Epoch: [50][230/14090]	Time 0.783 (0.791)	Data 0.001 (0.024)	Loss 2.1657 (2.1765)	Prec@1 42.188 (45.062)	Prec@5 76.562 (75.687)
Epoch: [50][240/14090]	Time 0.734 (0.790)	Data 0.001 (0.023)	Loss 2.2392 (2.1760)	Prec@1 49.219 (45.112)	Prec@5 73.438 (75.723)
Epoch: [50][250/14090]	Time 0.734 (0.789)	Data 0.001 (0.022)	Loss 2.1282 (2.1730)	Prec@1 46.094 (45.151)	Prec@5 75.000 (75.741)
Epoch: [50][260/14090]	Time 0.738 (0.789)	Data 0.001 (0.021)	Loss 2.0198 (2.1710)	Prec@1 50.000 (45.280)	Prec@5 77.344 (75.778)
Epoch: [50][270/14090]	Time 0.782 (0.788)	Data 0.001 (0.020)	Loss 2.3365 (2.1691)	Prec@1 36.719 (45.327)	Prec@5 71.875 (75.836)
Epoch: [50][280/14090]	Time 0.926 (0.788)	Data 0.001 (0.020)	Loss 1.9012 (2.1676)	Prec@1 54.688 (45.368)	Prec@5 82.031 (75.854)
Epoch: [50][290/14090]	Time 0.760 (0.787)	Data 0.001 (0.019)	Loss 2.0515 (2.1663)	Prec@1 50.781 (45.393)	Prec@5 74.219 (75.889)
Epoch: [50][300/14090]	Time 0.751 (0.786)	Data 0.001 (0.018)	Loss 2.3226 (2.1666)	Prec@1 40.625 (45.372)	Prec@5 69.531 (75.838)
Epoch: [50][310/14090]	Time 0.748 (0.786)	Data 0.001 (0.018)	Loss 2.1175 (2.1644)	Prec@1 50.000 (45.410)	Prec@5 77.344 (75.849)
Epoch: [50][320/14090]	Time 0.739 (0.786)	Data 0.003 (0.017)	Loss 2.0805 (2.1631)	Prec@1 50.781 (45.461)	Prec@5 75.000 (75.854)
Epoch: [50][330/14090]	Time 0.734 (0.785)	Data 0.001 (0.017)	Loss 2.3520 (2.1623)	Prec@1 42.969 (45.478)	Prec@5 74.219 (75.885)
Epoch: [50][340/14090]	Time 0.741 (0.784)	Data 0.001 (0.016)	Loss 2.0847 (2.1601)	Prec@1 46.094 (45.546)	Prec@5 75.781 (75.903)
Epoch: [50][350/14090]	Time 0.896 (0.784)	Data 0.001 (0.016)	Loss 2.2192 (2.1603)	Prec@1 46.875 (45.557)	Prec@5 75.781 (75.901)
Epoch: [50][360/14090]	Time 0.756 (0.783)	Data 0.001 (0.015)	Loss 2.1708 (2.1604)	Prec@1 43.750 (45.555)	Prec@5 75.000 (75.920)
Epoch: [50][370/14090]	Time 0.724 (0.783)	Data 0.001 (0.015)	Loss 2.2402 (2.1615)	Prec@1 45.312 (45.540)	Prec@5 73.438 (75.859)
Epoch: [50][380/14090]	Time 0.723 (0.783)	Data 0.001 (0.015)	Loss 2.3381 (2.1623)	Prec@1 39.844 (45.540)	Prec@5 72.656 (75.865)
Epoch: [50][390/14090]	Time 0.737 (0.782)	Data 0.001 (0.014)	Loss 2.3567 (2.1613)	Prec@1 45.312 (45.584)	Prec@5 66.406 (75.909)
Epoch: [50][400/14090]	Time 0.753 (0.782)	Data 0.001 (0.014)	Loss 2.0709 (2.1620)	Prec@1 46.094 (45.533)	Prec@5 75.781 (75.883)
Epoch: [50][410/14090]	Time 0.725 (0.781)	Data 0.001 (0.014)	Loss 2.0574 (2.1632)	Prec@1 47.656 (45.501)	Prec@5 76.562 (75.842)
Epoch: [50][420/14090]	Time 0.897 (0.781)	Data 0.001 (0.013)	Loss 2.2177 (2.1621)	Prec@1 47.656 (45.494)	Prec@5 73.438 (75.859)
Epoch: [50][430/14090]	Time 0.789 (0.781)	Data 0.001 (0.013)	Loss 2.0785 (2.1633)	Prec@1 44.531 (45.479)	Prec@5 75.781 (75.830)
Epoch: [50][440/14090]	Time 0.746 (0.781)	Data 0.001 (0.013)	Loss 2.2096 (2.1638)	Prec@1 45.312 (45.477)	Prec@5 75.000 (75.822)
Epoch: [50][450/14090]	Time 0.730 (0.781)	Data 0.001 (0.013)	Loss 2.0087 (2.1629)	Prec@1 40.625 (45.449)	Prec@5 77.344 (75.823)
Epoch: [50][460/14090]	Time 0.766 (0.780)	Data 0.001 (0.012)	Loss 2.2062 (2.1624)	Prec@1 46.875 (45.479)	Prec@5 77.344 (75.841)
Epoch: [50][470/14090]	Time 0.745 (0.780)	Data 0.001 (0.012)	Loss 2.2928 (2.1619)	Prec@1 43.750 (45.510)	Prec@5 72.656 (75.849)
Epoch: [50][480/14090]	Time 0.757 (0.780)	Data 0.001 (0.012)	Loss 2.0682 (2.1603)	Prec@1 47.656 (45.538)	Prec@5 77.344 (75.869)
Epoch: [50][490/14090]	Time 0.900 (0.780)	Data 0.001 (0.012)	Loss 2.4441 (2.1603)	Prec@1 41.406 (45.529)	Prec@5 73.438 (75.862)
Epoch: [50][500/14090]	Time 0.729 (0.779)	Data 0.001 (0.011)	Loss 2.2079 (2.1620)	Prec@1 43.750 (45.486)	Prec@5 75.781 (75.823)
Epoch: [50][510/14090]	Time 0.744 (0.779)	Data 0.001 (0.011)	Loss 2.4459 (2.1635)	Prec@1 38.281 (45.458)	Prec@5 71.094 (75.813)
Epoch: [50][520/14090]	Time 0.732 (0.779)	Data 0.001 (0.011)	Loss 2.1673 (2.1638)	Prec@1 46.875 (45.449)	Prec@5 71.875 (75.795)
Epoch: [50][530/14090]	Time 0.751 (0.779)	Data 0.001 (0.011)	Loss 2.4472 (2.1641)	Prec@1 35.938 (45.457)	Prec@5 75.000 (75.817)
Epoch: [50][540/14090]	Time 0.748 (0.779)	Data 0.001 (0.011)	Loss 1.9600 (2.1638)	Prec@1 52.344 (45.445)	Prec@5 78.125 (75.829)
Epoch: [50][550/14090]	Time 0.743 (0.778)	Data 0.002 (0.010)	Loss 2.2574 (2.1630)	Prec@1 39.844 (45.456)	Prec@5 71.875 (75.838)
Epoch: [50][560/14090]	Time 0.849 (0.778)	Data 0.001 (0.010)	Loss 1.9437 (2.1627)	Prec@1 46.875 (45.452)	Prec@5 82.812 (75.847)
Epoch: [50][570/14090]	Time 0.741 (0.778)	Data 0.001 (0.010)	Loss 1.9614 (2.1609)	Prec@1 51.562 (45.470)	Prec@5 77.344 (75.873)
Epoch: [50][580/14090]	Time 0.720 (0.778)	Data 0.001 (0.010)	Loss 2.3026 (2.1610)	Prec@1 40.625 (45.435)	Prec@5 71.875 (75.858)
Epoch: [50][590/14090]	Time 0.760 (0.777)	Data 0.001 (0.010)	Loss 2.1372 (2.1628)	Prec@1 49.219 (45.421)	Prec@5 75.000 (75.829)
Epoch: [50][600/14090]	Time 0.803 (0.777)	Data 0.001 (0.010)	Loss 2.0812 (2.1629)	Prec@1 47.656 (45.407)	Prec@5 77.344 (75.835)
Epoch: [50][610/14090]	Time 0.736 (0.777)	Data 0.001 (0.010)	Loss 2.2871 (2.1649)	Prec@1 46.094 (45.361)	Prec@5 72.656 (75.795)
Epoch: [50][620/14090]	Time 0.741 (0.777)	Data 0.000 (0.009)	Loss 2.1086 (2.1652)	Prec@1 49.219 (45.357)	Prec@5 80.469 (75.798)
Epoch: [50][630/14090]	Time 0.901 (0.776)	Data 0.001 (0.009)	Loss 2.0393 (2.1654)	Prec@1 50.781 (45.360)	Prec@5 77.344 (75.800)
Epoch: [50][640/14090]	Time 0.754 (0.776)	Data 0.001 (0.009)	Loss 2.3654 (2.1673)	Prec@1 41.406 (45.328)	Prec@5 71.094 (75.750)
Epoch: [50][650/14090]	Time 0.747 (0.776)	Data 0.001 (0.009)	Loss 2.2611 (2.1670)	Prec@1 47.656 (45.333)	Prec@5 72.656 (75.738)
Epoch: [50][660/14090]	Time 0.735 (0.776)	Data 0.001 (0.009)	Loss 2.2888 (2.1671)	Prec@1 45.312 (45.342)	Prec@5 77.344 (75.761)
Epoch: [50][670/14090]	Time 0.754 (0.775)	Data 0.001 (0.009)	Loss 2.1409 (2.1662)	Prec@1 45.312 (45.353)	Prec@5 78.906 (75.770)
Epoch: [50][680/14090]	Time 0.772 (0.775)	Data 0.001 (0.009)	Loss 2.5239 (2.1675)	Prec@1 34.375 (45.311)	Prec@5 64.844 (75.745)
Epoch: [50][690/14090]	Time 0.749 (0.775)	Data 0.001 (0.009)	Loss 1.9136 (2.1669)	Prec@1 49.219 (45.308)	Prec@5 81.250 (75.741)
Epoch: [50][700/14090]	Time 0.914 (0.775)	Data 0.001 (0.008)	Loss 1.9999 (2.1672)	Prec@1 49.219 (45.304)	Prec@5 78.906 (75.744)
Epoch: [50][710/14090]	Time 0.755 (0.775)	Data 0.001 (0.008)	Loss 2.4432 (2.1682)	Prec@1 36.719 (45.262)	Prec@5 67.969 (75.727)
Epoch: [50][720/14090]	Time 0.740 (0.774)	Data 0.001 (0.008)	Loss 2.1973 (2.1693)	Prec@1 44.531 (45.238)	Prec@5 75.000 (75.711)
Epoch: [50][730/14090]	Time 0.738 (0.774)	Data 0.001 (0.008)	Loss 2.2640 (2.1682)	Prec@1 38.281 (45.244)	Prec@5 75.000 (75.734)
Epoch: [50][740/14090]	Time 0.721 (0.774)	Data 0.001 (0.008)	Loss 2.1426 (2.1688)	Prec@1 46.875 (45.219)	Prec@5 78.906 (75.714)
Epoch: [50][750/14090]	Time 0.739 (0.774)	Data 0.001 (0.008)	Loss 2.2064 (2.1690)	Prec@1 45.312 (45.220)	Prec@5 71.875 (75.708)
Epoch: [50][760/14090]	Time 0.745 (0.774)	Data 0.001 (0.008)	Loss 2.5394 (2.1683)	Prec@1 39.844 (45.237)	Prec@5 67.969 (75.703)
Epoch: [50][770/14090]	Time 0.863 (0.774)	Data 0.001 (0.008)	Loss 2.2926 (2.1688)	Prec@1 43.750 (45.232)	Prec@5 75.000 (75.691)
Epoch: [50][780/14090]	Time 0.726 (0.774)	Data 0.001 (0.008)	Loss 2.1653 (2.1681)	Prec@1 48.438 (45.241)	Prec@5 76.562 (75.716)
Epoch: [50][790/14090]	Time 0.732 (0.773)	Data 0.001 (0.008)	Loss 1.8866 (2.1678)	Prec@1 56.250 (45.260)	Prec@5 80.469 (75.717)
Epoch: [50][800/14090]	Time 0.774 (0.773)	Data 0.001 (0.007)	Loss 2.2344 (2.1681)	Prec@1 38.281 (45.241)	Prec@5 75.781 (75.729)
Epoch: [50][810/14090]	Time 0.779 (0.773)	Data 0.001 (0.007)	Loss 2.4297 (2.1682)	Prec@1 39.062 (45.243)	Prec@5 71.875 (75.719)
Epoch: [50][820/14090]	Time 0.750 (0.773)	Data 0.001 (0.007)	Loss 2.2180 (2.1684)	Prec@1 37.500 (45.239)	Prec@5 78.125 (75.711)
Epoch: [50][830/14090]	Time 0.752 (0.773)	Data 0.001 (0.007)	Loss 2.2947 (2.1691)	Prec@1 42.969 (45.229)	Prec@5 70.312 (75.705)
Epoch: [50][840/14090]	Time 0.872 (0.773)	Data 0.001 (0.007)	Loss 2.0701 (2.1685)	Prec@1 49.219 (45.231)	Prec@5 78.125 (75.726)
Epoch: [50][850/14090]	Time 0.741 (0.773)	Data 0.001 (0.007)	Loss 2.3206 (2.1686)	Prec@1 42.188 (45.225)	Prec@5 74.219 (75.719)
Epoch: [50][860/14090]	Time 0.751 (0.773)	Data 0.001 (0.007)	Loss 2.4169 (2.1684)	Prec@1 41.406 (45.228)	Prec@5 69.531 (75.733)
Epoch: [50][870/14090]	Time 0.747 (0.773)	Data 0.001 (0.007)	Loss 2.2591 (2.1680)	Prec@1 45.312 (45.229)	Prec@5 71.875 (75.737)
Epoch: [50][880/14090]	Time 0.756 (0.772)	Data 0.001 (0.007)	Loss 2.3070 (2.1681)	Prec@1 38.281 (45.227)	Prec@5 71.094 (75.727)
Epoch: [50][890/14090]	Time 0.717 (0.772)	Data 0.001 (0.007)	Loss 2.1428 (2.1674)	Prec@1 39.062 (45.223)	Prec@5 78.125 (75.750)
Epoch: [50][900/14090]	Time 0.734 (0.772)	Data 0.001 (0.007)	Loss 2.1346 (2.1673)	Prec@1 43.750 (45.238)	Prec@5 76.562 (75.749)
Epoch: [50][910/14090]	Time 0.853 (0.772)	Data 0.001 (0.007)	Loss 2.2648 (2.1667)	Prec@1 39.062 (45.264)	Prec@5 69.531 (75.756)
Epoch: [50][920/14090]	Time 0.745 (0.772)	Data 0.001 (0.007)	Loss 2.1658 (2.1669)	Prec@1 46.875 (45.280)	Prec@5 73.438 (75.741)
Epoch: [50][930/14090]	Time 0.722 (0.772)	Data 0.001 (0.007)	Loss 1.9207 (2.1674)	Prec@1 51.562 (45.253)	Prec@5 83.594 (75.742)
Epoch: [50][940/14090]	Time 0.740 (0.772)	Data 0.001 (0.006)	Loss 2.1165 (2.1669)	Prec@1 48.438 (45.246)	Prec@5 75.000 (75.764)
Epoch: [50][950/14090]	Time 0.754 (0.772)	Data 0.001 (0.006)	Loss 1.8041 (2.1662)	Prec@1 57.031 (45.266)	Prec@5 79.688 (75.771)
Epoch: [50][960/14090]	Time 0.766 (0.772)	Data 0.001 (0.006)	Loss 2.1686 (2.1651)	Prec@1 42.969 (45.287)	Prec@5 78.125 (75.807)
Epoch: [50][970/14090]	Time 0.763 (0.772)	Data 0.001 (0.006)	Loss 1.9509 (2.1641)	Prec@1 51.562 (45.312)	Prec@5 77.344 (75.815)
Epoch: [50][980/14090]	Time 0.848 (0.772)	Data 0.001 (0.006)	Loss 2.2906 (2.1641)	Prec@1 39.844 (45.302)	Prec@5 74.219 (75.828)
Epoch: [50][990/14090]	Time 0.721 (0.772)	Data 0.001 (0.006)	Loss 2.2006 (2.1640)	Prec@1 46.875 (45.318)	Prec@5 75.781 (75.840)
Epoch: [50][1000/14090]	Time 0.754 (0.771)	Data 0.001 (0.006)	Loss 1.9665 (2.1638)	Prec@1 42.188 (45.316)	Prec@5 80.469 (75.843)
Epoch: [50][1010/14090]	Time 0.720 (0.771)	Data 0.001 (0.006)	Loss 2.1861 (2.1639)	Prec@1 44.531 (45.316)	Prec@5 76.562 (75.835)
Epoch: [50][1020/14090]	Time 0.727 (0.771)	Data 0.001 (0.006)	Loss 1.8894 (2.1637)	Prec@1 52.344 (45.327)	Prec@5 79.688 (75.839)
Epoch: [50][1030/14090]	Time 0.755 (0.771)	Data 0.001 (0.006)	Loss 2.3448 (2.1643)	Prec@1 44.531 (45.334)	Prec@5 72.656 (75.837)
Epoch: [50][1040/14090]	Time 0.724 (0.771)	Data 0.001 (0.006)	Loss 1.9670 (2.1639)	Prec@1 50.000 (45.331)	Prec@5 77.344 (75.840)
Epoch: [50][1050/14090]	Time 0.855 (0.771)	Data 0.001 (0.006)	Loss 1.7825 (2.1641)	Prec@1 48.438 (45.334)	Prec@5 85.156 (75.833)
Epoch: [50][1060/14090]	Time 0.746 (0.771)	Data 0.001 (0.006)	Loss 2.2235 (2.1642)	Prec@1 41.406 (45.320)	Prec@5 78.125 (75.834)
Epoch: [50][1070/14090]	Time 0.749 (0.771)	Data 0.001 (0.006)	Loss 2.0426 (2.1637)	Prec@1 48.438 (45.337)	Prec@5 78.906 (75.835)
Epoch: [50][1080/14090]	Time 0.778 (0.771)	Data 0.001 (0.006)	Loss 2.1908 (2.1632)	Prec@1 46.094 (45.353)	Prec@5 73.438 (75.837)
Epoch: [50][1090/14090]	Time 0.781 (0.771)	Data 0.001 (0.006)	Loss 2.3629 (2.1633)	Prec@1 39.062 (45.348)	Prec@5 77.344 (75.835)
Epoch: [50][1100/14090]	Time 0.754 (0.771)	Data 0.001 (0.006)	Loss 2.4931 (2.1644)	Prec@1 39.062 (45.330)	Prec@5 68.750 (75.806)
Epoch: [50][1110/14090]	Time 0.757 (0.771)	Data 0.001 (0.006)	Loss 2.0343 (2.1641)	Prec@1 48.438 (45.325)	Prec@5 73.438 (75.811)
Epoch: [50][1120/14090]	Time 0.851 (0.771)	Data 0.001 (0.006)	Loss 2.0997 (2.1641)	Prec@1 50.781 (45.335)	Prec@5 73.438 (75.797)
Epoch: [50][1130/14090]	Time 0.730 (0.770)	Data 0.001 (0.005)	Loss 2.0261 (2.1640)	Prec@1 45.312 (45.331)	Prec@5 79.688 (75.801)
Epoch: [50][1140/14090]	Time 0.748 (0.770)	Data 0.001 (0.005)	Loss 2.1751 (2.1639)	Prec@1 45.312 (45.319)	Prec@5 77.344 (75.798)
Epoch: [50][1150/14090]	Time 0.750 (0.770)	Data 0.001 (0.005)	Loss 2.2060 (2.1642)	Prec@1 46.875 (45.324)	Prec@5 71.875 (75.782)
Epoch: [50][1160/14090]	Time 0.752 (0.770)	Data 0.001 (0.005)	Loss 2.2326 (2.1640)	Prec@1 41.406 (45.319)	Prec@5 75.000 (75.788)
Epoch: [50][1170/14090]	Time 0.753 (0.770)	Data 0.001 (0.005)	Loss 2.2075 (2.1634)	Prec@1 46.875 (45.335)	Prec@5 75.781 (75.795)
Epoch: [50][1180/14090]	Time 0.755 (0.770)	Data 0.001 (0.005)	Loss 2.0797 (2.1632)	Prec@1 42.188 (45.334)	Prec@5 77.344 (75.794)
Epoch: [50][1190/14090]	Time 0.893 (0.770)	Data 0.001 (0.005)	Loss 2.1135 (2.1629)	Prec@1 45.312 (45.336)	Prec@5 75.781 (75.806)
Epoch: [50][1200/14090]	Time 0.736 (0.770)	Data 0.001 (0.005)	Loss 1.9182 (2.1629)	Prec@1 50.000 (45.322)	Prec@5 84.375 (75.812)
Epoch: [50][1210/14090]	Time 0.740 (0.770)	Data 0.001 (0.005)	Loss 2.4275 (2.1624)	Prec@1 39.844 (45.330)	Prec@5 72.656 (75.819)
Epoch: [50][1220/14090]	Time 0.741 (0.770)	Data 0.001 (0.005)	Loss 2.1745 (2.1623)	Prec@1 40.625 (45.335)	Prec@5 75.781 (75.815)
Epoch: [50][1230/14090]	Time 0.734 (0.770)	Data 0.001 (0.005)	Loss 2.1359 (2.1620)	Prec@1 44.531 (45.330)	Prec@5 75.781 (75.819)
Epoch: [50][1240/14090]	Time 0.749 (0.770)	Data 0.001 (0.005)	Loss 1.9454 (2.1624)	Prec@1 50.781 (45.316)	Prec@5 78.125 (75.803)
Epoch: [50][1250/14090]	Time 0.726 (0.770)	Data 0.001 (0.005)	Loss 2.1599 (2.1630)	Prec@1 49.219 (45.316)	Prec@5 70.312 (75.783)
Epoch: [50][1260/14090]	Time 0.858 (0.770)	Data 0.001 (0.005)	Loss 1.9768 (2.1624)	Prec@1 51.562 (45.331)	Prec@5 80.469 (75.790)
Epoch: [50][1270/14090]	Time 0.729 (0.770)	Data 0.001 (0.005)	Loss 2.0628 (2.1616)	Prec@1 45.312 (45.351)	Prec@5 79.688 (75.815)
Epoch: [50][1280/14090]	Time 0.744 (0.770)	Data 0.001 (0.005)	Loss 2.6282 (2.1619)	Prec@1 35.156 (45.334)	Prec@5 67.188 (75.809)
Epoch: [50][1290/14090]	Time 0.756 (0.770)	Data 0.001 (0.005)	Loss 2.1464 (2.1624)	Prec@1 43.750 (45.313)	Prec@5 75.000 (75.804)
Epoch: [50][1300/14090]	Time 0.748 (0.770)	Data 0.001 (0.005)	Loss 1.9765 (2.1616)	Prec@1 48.438 (45.331)	Prec@5 81.250 (75.829)
Epoch: [50][1310/14090]	Time 0.762 (0.770)	Data 0.001 (0.005)	Loss 2.1131 (2.1623)	Prec@1 48.438 (45.309)	Prec@5 75.781 (75.818)
Epoch: [50][1320/14090]	Time 0.735 (0.769)	Data 0.001 (0.005)	Loss 2.0848 (2.1623)	Prec@1 49.219 (45.323)	Prec@5 76.562 (75.811)
Epoch: [50][1330/14090]	Time 0.882 (0.770)	Data 0.001 (0.005)	Loss 2.0747 (2.1620)	Prec@1 50.781 (45.328)	Prec@5 73.438 (75.815)
Epoch: [50][1340/14090]	Time 0.751 (0.770)	Data 0.001 (0.005)	Loss 2.0433 (2.1619)	Prec@1 48.438 (45.350)	Prec@5 79.688 (75.824)
Epoch: [50][1350/14090]	Time 0.744 (0.769)	Data 0.001 (0.005)	Loss 2.5018 (2.1618)	Prec@1 40.625 (45.339)	Prec@5 69.531 (75.831)
Epoch: [50][1360/14090]	Time 0.742 (0.769)	Data 0.001 (0.005)	Loss 2.3483 (2.1618)	Prec@1 39.844 (45.339)	Prec@5 68.750 (75.842)
Epoch: [50][1370/14090]	Time 0.735 (0.769)	Data 0.001 (0.005)	Loss 2.0686 (2.1625)	Prec@1 42.969 (45.312)	Prec@5 78.125 (75.833)
Epoch: [50][1380/14090]	Time 0.758 (0.769)	Data 0.001 (0.005)	Loss 1.9032 (2.1624)	Prec@1 53.906 (45.320)	Prec@5 79.688 (75.836)
Epoch: [50][1390/14090]	Time 0.765 (0.769)	Data 0.001 (0.005)	Loss 1.8616 (2.1625)	Prec@1 48.438 (45.309)	Prec@5 81.250 (75.830)
Epoch: [50][1400/14090]	Time 0.828 (0.769)	Data 0.001 (0.005)	Loss 2.1039 (2.1629)	Prec@1 46.094 (45.311)	Prec@5 81.250 (75.825)
Epoch: [50][1410/14090]	Time 0.734 (0.769)	Data 0.001 (0.005)	Loss 2.1236 (2.1630)	Prec@1 46.875 (45.317)	Prec@5 76.562 (75.830)
Epoch: [50][1420/14090]	Time 0.727 (0.769)	Data 0.001 (0.005)	Loss 2.1574 (2.1635)	Prec@1 46.094 (45.327)	Prec@5 75.781 (75.821)
Epoch: [50][1430/14090]	Time 0.739 (0.769)	Data 0.001 (0.005)	Loss 2.2973 (2.1639)	Prec@1 40.625 (45.313)	Prec@5 70.312 (75.821)
Epoch: [50][1440/14090]	Time 0.747 (0.769)	Data 0.001 (0.004)	Loss 2.2406 (2.1640)	Prec@1 42.188 (45.314)	Prec@5 75.781 (75.814)
Epoch: [50][1450/14090]	Time 0.735 (0.769)	Data 0.001 (0.004)	Loss 2.4548 (2.1646)	Prec@1 40.625 (45.318)	Prec@5 71.875 (75.802)
Epoch: [50][1460/14090]	Time 0.731 (0.769)	Data 0.001 (0.004)	Loss 2.2017 (2.1645)	Prec@1 43.750 (45.322)	Prec@5 74.219 (75.804)
Epoch: [50][1470/14090]	Time 0.860 (0.769)	Data 0.001 (0.004)	Loss 1.9635 (2.1641)	Prec@1 50.000 (45.336)	Prec@5 77.344 (75.813)
Epoch: [50][1480/14090]	Time 0.729 (0.769)	Data 0.001 (0.004)	Loss 2.1572 (2.1641)	Prec@1 47.656 (45.321)	Prec@5 73.438 (75.821)
Epoch: [50][1490/14090]	Time 0.737 (0.769)	Data 0.001 (0.004)	Loss 2.3301 (2.1644)	Prec@1 44.531 (45.318)	Prec@5 75.000 (75.816)
Epoch: [50][1500/14090]	Time 0.756 (0.769)	Data 0.001 (0.004)	Loss 2.2458 (2.1647)	Prec@1 46.875 (45.307)	Prec@5 77.344 (75.812)
Epoch: [50][1510/14090]	Time 0.763 (0.769)	Data 0.003 (0.004)	Loss 2.3095 (2.1655)	Prec@1 41.406 (45.296)	Prec@5 73.438 (75.795)
Epoch: [50][1520/14090]	Time 0.743 (0.769)	Data 0.001 (0.004)	Loss 1.9820 (2.1650)	Prec@1 44.531 (45.310)	Prec@5 78.125 (75.799)
Epoch: [50][1530/14090]	Time 0.746 (0.769)	Data 0.001 (0.004)	Loss 2.0300 (2.1651)	Prec@1 47.656 (45.302)	Prec@5 78.125 (75.801)
Epoch: [50][1540/14090]	Time 0.842 (0.769)	Data 0.001 (0.004)	Loss 2.2377 (2.1656)	Prec@1 50.781 (45.299)	Prec@5 73.438 (75.792)
Epoch: [50][1550/14090]	Time 0.734 (0.769)	Data 0.001 (0.004)	Loss 2.3572 (2.1660)	Prec@1 39.062 (45.291)	Prec@5 71.875 (75.783)
Epoch: [50][1560/14090]	Time 0.748 (0.769)	Data 0.001 (0.004)	Loss 2.2728 (2.1661)	Prec@1 48.438 (45.294)	Prec@5 68.750 (75.773)
Epoch: [50][1570/14090]	Time 0.763 (0.769)	Data 0.001 (0.004)	Loss 2.4022 (2.1662)	Prec@1 41.406 (45.293)	Prec@5 71.875 (75.763)
Epoch: [50][1580/14090]	Time 0.732 (0.769)	Data 0.001 (0.004)	Loss 2.2201 (2.1664)	Prec@1 47.656 (45.282)	Prec@5 75.781 (75.763)
Epoch: [50][1590/14090]	Time 0.754 (0.769)	Data 0.001 (0.004)	Loss 1.9320 (2.1664)	Prec@1 52.344 (45.284)	Prec@5 78.906 (75.761)
Epoch: [50][1600/14090]	Time 0.778 (0.769)	Data 0.001 (0.004)	Loss 2.0489 (2.1669)	Prec@1 54.688 (45.271)	Prec@5 71.094 (75.748)
Epoch: [50][1610/14090]	Time 0.879 (0.769)	Data 0.001 (0.004)	Loss 2.1257 (2.1672)	Prec@1 46.094 (45.274)	Prec@5 78.906 (75.744)
Epoch: [50][1620/14090]	Time 0.738 (0.769)	Data 0.001 (0.004)	Loss 2.1383 (2.1681)	Prec@1 47.656 (45.266)	Prec@5 77.344 (75.730)
Epoch: [50][1630/14090]	Time 0.754 (0.768)	Data 0.001 (0.004)	Loss 2.3404 (2.1686)	Prec@1 40.625 (45.258)	Prec@5 71.875 (75.713)
Epoch: [50][1640/14090]	Time 0.749 (0.768)	Data 0.001 (0.004)	Loss 2.2324 (2.1685)	Prec@1 44.531 (45.266)	Prec@5 72.656 (75.717)
Epoch: [50][1650/14090]	Time 0.725 (0.768)	Data 0.001 (0.004)	Loss 1.9889 (2.1681)	Prec@1 46.094 (45.275)	Prec@5 79.688 (75.727)
Epoch: [50][1660/14090]	Time 0.755 (0.768)	Data 0.001 (0.004)	Loss 2.2077 (2.1679)	Prec@1 45.312 (45.276)	Prec@5 74.219 (75.733)
Epoch: [50][1670/14090]	Time 0.768 (0.768)	Data 0.001 (0.004)	Loss 2.0750 (2.1679)	Prec@1 53.906 (45.275)	Prec@5 77.344 (75.735)
Epoch: [50][1680/14090]	Time 0.883 (0.768)	Data 0.001 (0.004)	Loss 2.4684 (2.1682)	Prec@1 40.625 (45.275)	Prec@5 71.094 (75.729)
Epoch: [50][1690/14090]	Time 0.726 (0.768)	Data 0.001 (0.004)	Loss 2.3536 (2.1688)	Prec@1 40.625 (45.268)	Prec@5 74.219 (75.723)
Epoch: [50][1700/14090]	Time 0.738 (0.768)	Data 0.001 (0.004)	Loss 2.1744 (2.1692)	Prec@1 45.312 (45.264)	Prec@5 76.562 (75.722)
Epoch: [50][1710/14090]	Time 0.793 (0.768)	Data 0.001 (0.004)	Loss 2.1036 (2.1693)	Prec@1 46.875 (45.259)	Prec@5 77.344 (75.722)
Epoch: [50][1720/14090]	Time 0.777 (0.768)	Data 0.001 (0.004)	Loss 2.0454 (2.1696)	Prec@1 46.094 (45.251)	Prec@5 79.688 (75.717)
Epoch: [50][1730/14090]	Time 0.762 (0.768)	Data 0.001 (0.004)	Loss 2.0701 (2.1691)	Prec@1 50.781 (45.257)	Prec@5 75.781 (75.728)
Epoch: [50][1740/14090]	Time 0.776 (0.768)	Data 0.001 (0.004)	Loss 2.1207 (2.1693)	Prec@1 46.094 (45.255)	Prec@5 75.781 (75.721)
Epoch: [50][1750/14090]	Time 0.880 (0.768)	Data 0.001 (0.004)	Loss 1.9954 (2.1694)	Prec@1 49.219 (45.253)	Prec@5 75.781 (75.718)
Epoch: [50][1760/14090]	Time 0.764 (0.768)	Data 0.001 (0.004)	Loss 2.1501 (2.1691)	Prec@1 39.844 (45.256)	Prec@5 78.906 (75.727)
Epoch: [50][1770/14090]	Time 0.759 (0.768)	Data 0.001 (0.004)	Loss 2.2071 (2.1694)	Prec@1 44.531 (45.244)	Prec@5 80.469 (75.726)
Epoch: [50][1780/14090]	Time 0.740 (0.768)	Data 0.001 (0.004)	Loss 2.1674 (2.1690)	Prec@1 39.844 (45.245)	Prec@5 76.562 (75.737)
Epoch: [50][1790/14090]	Time 0.750 (0.768)	Data 0.001 (0.004)	Loss 2.1987 (2.1693)	Prec@1 42.969 (45.235)	Prec@5 71.875 (75.735)
Epoch: [50][1800/14090]	Time 0.750 (0.768)	Data 0.001 (0.004)	Loss 1.9787 (2.1692)	Prec@1 49.219 (45.242)	Prec@5 78.906 (75.734)
Epoch: [50][1810/14090]	Time 0.721 (0.768)	Data 0.001 (0.004)	Loss 2.3096 (2.1696)	Prec@1 49.219 (45.246)	Prec@5 75.781 (75.727)
Epoch: [50][1820/14090]	Time 0.853 (0.768)	Data 0.001 (0.004)	Loss 2.4718 (2.1695)	Prec@1 41.406 (45.245)	Prec@5 67.969 (75.730)
Epoch: [50][1830/14090]	Time 0.733 (0.768)	Data 0.001 (0.004)	Loss 2.2624 (2.1696)	Prec@1 39.062 (45.244)	Prec@5 76.562 (75.730)
Epoch: [50][1840/14090]	Time 0.752 (0.768)	Data 0.001 (0.004)	Loss 2.1368 (2.1695)	Prec@1 47.656 (45.254)	Prec@5 77.344 (75.733)
Epoch: [50][1850/14090]	Time 0.753 (0.768)	Data 0.001 (0.004)	Loss 2.3167 (2.1693)	Prec@1 42.969 (45.254)	Prec@5 75.000 (75.745)
Epoch: [50][1860/14090]	Time 0.723 (0.768)	Data 0.001 (0.004)	Loss 2.3177 (2.1694)	Prec@1 40.625 (45.246)	Prec@5 76.562 (75.749)
Epoch: [50][1870/14090]	Time 0.748 (0.768)	Data 0.001 (0.004)	Loss 2.1703 (2.1694)	Prec@1 46.094 (45.237)	Prec@5 78.125 (75.743)
Epoch: [50][1880/14090]	Time 0.753 (0.768)	Data 0.001 (0.004)	Loss 2.1073 (2.1695)	Prec@1 46.094 (45.234)	Prec@5 77.344 (75.742)
Epoch: [50][1890/14090]	Time 0.834 (0.768)	Data 0.001 (0.004)	Loss 2.0587 (2.1692)	Prec@1 49.219 (45.244)	Prec@5 78.906 (75.748)
Epoch: [50][1900/14090]	Time 0.733 (0.768)	Data 0.001 (0.004)	Loss 1.9367 (2.1692)	Prec@1 57.031 (45.246)	Prec@5 78.125 (75.745)
Epoch: [50][1910/14090]	Time 0.753 (0.768)	Data 0.001 (0.004)	Loss 2.0602 (2.1695)	Prec@1 44.531 (45.242)	Prec@5 78.906 (75.742)
Epoch: [50][1920/14090]	Time 0.726 (0.768)	Data 0.001 (0.004)	Loss 2.0191 (2.1692)	Prec@1 42.969 (45.252)	Prec@5 76.562 (75.747)
Epoch: [50][1930/14090]	Time 0.721 (0.768)	Data 0.001 (0.004)	Loss 2.2392 (2.1691)	Prec@1 46.094 (45.249)	Prec@5 74.219 (75.753)
Epoch: [50][1940/14090]	Time 0.729 (0.768)	Data 0.001 (0.004)	Loss 1.9437 (2.1689)	Prec@1 51.562 (45.256)	Prec@5 78.125 (75.759)
Epoch: [50][1950/14090]	Time 0.763 (0.768)	Data 0.001 (0.004)	Loss 2.3460 (2.1690)	Prec@1 44.531 (45.251)	Prec@5 74.219 (75.758)
Epoch: [50][1960/14090]	Time 0.875 (0.768)	Data 0.001 (0.003)	Loss 2.1428 (2.1691)	Prec@1 46.875 (45.254)	Prec@5 75.000 (75.755)
Epoch: [50][1970/14090]	Time 0.758 (0.768)	Data 0.001 (0.003)	Loss 2.2061 (2.1689)	Prec@1 44.531 (45.259)	Prec@5 75.781 (75.762)
Epoch: [50][1980/14090]	Time 0.734 (0.767)	Data 0.001 (0.003)	Loss 2.0310 (2.1688)	Prec@1 52.344 (45.265)	Prec@5 78.906 (75.770)
Epoch: [50][1990/14090]	Time 0.742 (0.767)	Data 0.001 (0.003)	Loss 2.0158 (2.1691)	Prec@1 50.781 (45.254)	Prec@5 77.344 (75.764)
Epoch: [50][2000/14090]	Time 0.739 (0.767)	Data 0.001 (0.003)	Loss 2.4551 (2.1689)	Prec@1 34.375 (45.252)	Prec@5 71.875 (75.775)
Epoch: [50][2010/14090]	Time 0.726 (0.767)	Data 0.001 (0.003)	Loss 2.3518 (2.1689)	Prec@1 35.938 (45.249)	Prec@5 72.656 (75.774)
Epoch: [50][2020/14090]	Time 0.772 (0.767)	Data 0.001 (0.003)	Loss 2.1013 (2.1691)	Prec@1 46.875 (45.245)	Prec@5 75.781 (75.767)
Epoch: [50][2030/14090]	Time 0.868 (0.767)	Data 0.001 (0.003)	Loss 2.1190 (2.1690)	Prec@1 40.625 (45.252)	Prec@5 75.781 (75.763)
Epoch: [50][2040/14090]	Time 0.735 (0.767)	Data 0.001 (0.003)	Loss 2.2510 (2.1691)	Prec@1 43.750 (45.247)	Prec@5 71.094 (75.755)
Epoch: [50][2050/14090]	Time 0.750 (0.767)	Data 0.001 (0.003)	Loss 2.6361 (2.1692)	Prec@1 41.406 (45.247)	Prec@5 68.750 (75.756)
Epoch: [50][2060/14090]	Time 0.736 (0.767)	Data 0.001 (0.003)	Loss 2.1146 (2.1693)	Prec@1 46.094 (45.244)	Prec@5 79.688 (75.754)
Epoch: [50][2070/14090]	Time 0.725 (0.767)	Data 0.001 (0.003)	Loss 2.4009 (2.1698)	Prec@1 41.406 (45.236)	Prec@5 70.312 (75.748)
Epoch: [50][2080/14090]	Time 0.759 (0.767)	Data 0.000 (0.003)	Loss 2.1559 (2.1700)	Prec@1 45.312 (45.233)	Prec@5 72.656 (75.742)
Epoch: [50][2090/14090]	Time 0.739 (0.767)	Data 0.001 (0.003)	Loss 2.1368 (2.1703)	Prec@1 40.625 (45.224)	Prec@5 80.469 (75.736)
Epoch: [50][2100/14090]	Time 0.846 (0.767)	Data 0.001 (0.003)	Loss 2.2692 (2.1703)	Prec@1 49.219 (45.224)	Prec@5 71.094 (75.741)
Epoch: [50][2110/14090]	Time 0.752 (0.767)	Data 0.001 (0.003)	Loss 2.1878 (2.1704)	Prec@1 41.406 (45.219)	Prec@5 70.312 (75.734)
Epoch: [50][2120/14090]	Time 0.739 (0.767)	Data 0.001 (0.003)	Loss 2.2339 (2.1709)	Prec@1 41.406 (45.208)	Prec@5 75.000 (75.721)
Epoch: [50][2130/14090]	Time 0.741 (0.767)	Data 0.001 (0.003)	Loss 2.1541 (2.1712)	Prec@1 50.000 (45.208)	Prec@5 75.000 (75.710)
Epoch: [50][2140/14090]	Time 0.742 (0.767)	Data 0.001 (0.003)	Loss 2.3287 (2.1714)	Prec@1 45.312 (45.215)	Prec@5 75.000 (75.708)
Epoch: [50][2150/14090]	Time 0.766 (0.767)	Data 0.001 (0.003)	Loss 2.0268 (2.1716)	Prec@1 46.094 (45.218)	Prec@5 76.562 (75.701)
Epoch: [50][2160/14090]	Time 0.764 (0.767)	Data 0.003 (0.003)	Loss 1.9039 (2.1712)	Prec@1 47.656 (45.225)	Prec@5 83.594 (75.705)
Epoch: [50][2170/14090]	Time 0.876 (0.767)	Data 0.001 (0.003)	Loss 2.2381 (2.1712)	Prec@1 42.188 (45.228)	Prec@5 70.312 (75.703)
Epoch: [50][2180/14090]	Time 0.752 (0.767)	Data 0.001 (0.003)	Loss 2.1637 (2.1716)	Prec@1 46.094 (45.220)	Prec@5 77.344 (75.705)
Epoch: [50][2190/14090]	Time 0.727 (0.767)	Data 0.001 (0.003)	Loss 2.2146 (2.1716)	Prec@1 42.969 (45.223)	Prec@5 75.000 (75.700)
Epoch: [50][2200/14090]	Time 0.749 (0.767)	Data 0.001 (0.003)	Loss 1.8399 (2.1715)	Prec@1 55.469 (45.228)	Prec@5 80.469 (75.703)
Epoch: [50][2210/14090]	Time 0.757 (0.767)	Data 0.001 (0.003)	Loss 2.2543 (2.1717)	Prec@1 43.750 (45.222)	Prec@5 73.438 (75.695)
Epoch: [50][2220/14090]	Time 0.756 (0.767)	Data 0.001 (0.003)	Loss 2.1113 (2.1717)	Prec@1 42.969 (45.226)	Prec@5 81.250 (75.698)
Epoch: [50][2230/14090]	Time 0.750 (0.767)	Data 0.001 (0.003)	Loss 2.1833 (2.1717)	Prec@1 45.312 (45.227)	Prec@5 71.875 (75.691)
Epoch: [50][2240/14090]	Time 0.961 (0.767)	Data 0.001 (0.003)	Loss 2.0674 (2.1713)	Prec@1 35.938 (45.225)	Prec@5 82.031 (75.702)
Epoch: [50][2250/14090]	Time 0.726 (0.767)	Data 0.001 (0.003)	Loss 1.9304 (2.1711)	Prec@1 44.531 (45.230)	Prec@5 80.469 (75.703)
Epoch: [50][2260/14090]	Time 0.744 (0.767)	Data 0.001 (0.003)	Loss 1.9979 (2.1707)	Prec@1 44.531 (45.234)	Prec@5 81.250 (75.714)
Epoch: [50][2270/14090]	Time 0.729 (0.767)	Data 0.001 (0.003)	Loss 2.3006 (2.1710)	Prec@1 40.625 (45.225)	Prec@5 74.219 (75.710)
Epoch: [50][2280/14090]	Time 0.744 (0.767)	Data 0.001 (0.003)	Loss 1.9864 (2.1710)	Prec@1 50.000 (45.231)	Prec@5 79.688 (75.711)
Epoch: [50][2290/14090]	Time 0.723 (0.767)	Data 0.001 (0.003)	Loss 2.2160 (2.1708)	Prec@1 44.531 (45.239)	Prec@5 79.688 (75.717)
Epoch: [50][2300/14090]	Time 0.774 (0.767)	Data 0.001 (0.003)	Loss 2.1686 (2.1708)	Prec@1 42.969 (45.236)	Prec@5 74.219 (75.716)
Epoch: [50][2310/14090]	Time 0.870 (0.767)	Data 0.001 (0.003)	Loss 1.9603 (2.1707)	Prec@1 50.781 (45.232)	Prec@5 78.906 (75.712)
Epoch: [50][2320/14090]	Time 0.741 (0.767)	Data 0.001 (0.003)	Loss 2.0924 (2.1709)	Prec@1 45.312 (45.231)	Prec@5 81.250 (75.712)
Epoch: [50][2330/14090]	Time 0.733 (0.767)	Data 0.001 (0.003)	Loss 2.0123 (2.1710)	Prec@1 47.656 (45.226)	Prec@5 78.125 (75.709)
Epoch: [50][2340/14090]	Time 0.762 (0.767)	Data 0.001 (0.003)	Loss 2.2117 (2.1710)	Prec@1 41.406 (45.214)	Prec@5 75.781 (75.707)
Epoch: [50][2350/14090]	Time 0.741 (0.767)	Data 0.001 (0.003)	Loss 2.2044 (2.1710)	Prec@1 41.406 (45.215)	Prec@5 73.438 (75.700)
Epoch: [50][2360/14090]	Time 0.756 (0.767)	Data 0.001 (0.003)	Loss 2.1576 (2.1706)	Prec@1 46.875 (45.227)	Prec@5 76.562 (75.704)
Epoch: [50][2370/14090]	Time 0.762 (0.767)	Data 0.001 (0.003)	Loss 2.1935 (2.1706)	Prec@1 49.219 (45.230)	Prec@5 75.000 (75.701)
Epoch: [50][2380/14090]	Time 0.876 (0.767)	Data 0.001 (0.003)	Loss 2.1425 (2.1707)	Prec@1 49.219 (45.222)	Prec@5 76.562 (75.702)
Epoch: [50][2390/14090]	Time 0.784 (0.767)	Data 0.001 (0.003)	Loss 2.4683 (2.1710)	Prec@1 42.188 (45.222)	Prec@5 70.312 (75.693)
Epoch: [50][2400/14090]	Time 0.734 (0.767)	Data 0.001 (0.003)	Loss 2.4384 (2.1711)	Prec@1 39.062 (45.219)	Prec@5 69.531 (75.689)
Epoch: [50][2410/14090]	Time 0.736 (0.767)	Data 0.001 (0.003)	Loss 2.1198 (2.1707)	Prec@1 48.438 (45.229)	Prec@5 78.125 (75.706)
Epoch: [50][2420/14090]	Time 0.721 (0.767)	Data 0.001 (0.003)	Loss 2.3750 (2.1710)	Prec@1 40.625 (45.218)	Prec@5 71.094 (75.703)
Epoch: [50][2430/14090]	Time 0.752 (0.767)	Data 0.001 (0.003)	Loss 2.1901 (2.1711)	Prec@1 45.312 (45.213)	Prec@5 75.781 (75.702)
Epoch: [50][2440/14090]	Time 0.750 (0.767)	Data 0.001 (0.003)	Loss 2.4336 (2.1713)	Prec@1 40.625 (45.207)	Prec@5 74.219 (75.698)
Epoch: [50][2450/14090]	Time 0.872 (0.767)	Data 0.001 (0.003)	Loss 2.0617 (2.1713)	Prec@1 42.969 (45.202)	Prec@5 79.688 (75.698)
Epoch: [50][2460/14090]	Time 0.742 (0.767)	Data 0.001 (0.003)	Loss 2.3514 (2.1717)	Prec@1 46.094 (45.198)	Prec@5 68.750 (75.693)
Epoch: [50][2470/14090]	Time 0.740 (0.767)	Data 0.001 (0.003)	Loss 2.2605 (2.1720)	Prec@1 42.188 (45.196)	Prec@5 70.312 (75.686)
Epoch: [50][2480/14090]	Time 0.738 (0.767)	Data 0.001 (0.003)	Loss 2.1930 (2.1719)	Prec@1 42.188 (45.197)	Prec@5 74.219 (75.686)
Epoch: [50][2490/14090]	Time 0.776 (0.767)	Data 0.001 (0.003)	Loss 2.1790 (2.1720)	Prec@1 39.062 (45.190)	Prec@5 80.469 (75.693)
Epoch: [50][2500/14090]	Time 0.745 (0.767)	Data 0.001 (0.003)	Loss 2.1928 (2.1721)	Prec@1 46.875 (45.188)	Prec@5 76.562 (75.691)
Epoch: [50][2510/14090]	Time 0.743 (0.767)	Data 0.001 (0.003)	Loss 2.2894 (2.1723)	Prec@1 39.062 (45.180)	Prec@5 67.969 (75.685)
Epoch: [50][2520/14090]	Time 0.918 (0.767)	Data 0.001 (0.003)	Loss 2.0501 (2.1723)	Prec@1 43.750 (45.175)	Prec@5 77.344 (75.689)
Epoch: [50][2530/14090]	Time 0.740 (0.767)	Data 0.001 (0.003)	Loss 2.2851 (2.1720)	Prec@1 48.438 (45.179)	Prec@5 69.531 (75.691)
Epoch: [50][2540/14090]	Time 0.750 (0.767)	Data 0.001 (0.003)	Loss 2.1508 (2.1718)	Prec@1 46.875 (45.186)	Prec@5 74.219 (75.693)
Epoch: [50][2550/14090]	Time 0.738 (0.767)	Data 0.001 (0.003)	Loss 2.1772 (2.1718)	Prec@1 40.625 (45.184)	Prec@5 78.906 (75.692)
Epoch: [50][2560/14090]	Time 0.746 (0.767)	Data 0.001 (0.003)	Loss 2.4966 (2.1717)	Prec@1 43.750 (45.191)	Prec@5 67.188 (75.693)
Epoch: [50][2570/14090]	Time 0.750 (0.767)	Data 0.001 (0.003)	Loss 2.0665 (2.1717)	Prec@1 42.188 (45.191)	Prec@5 81.250 (75.691)
Epoch: [50][2580/14090]	Time 0.754 (0.766)	Data 0.001 (0.003)	Loss 2.0835 (2.1717)	Prec@1 41.406 (45.194)	Prec@5 78.125 (75.693)
Epoch: [50][2590/14090]	Time 0.893 (0.767)	Data 0.001 (0.003)	Loss 2.1460 (2.1721)	Prec@1 43.750 (45.176)	Prec@5 75.781 (75.688)
Epoch: [50][2600/14090]	Time 0.752 (0.766)	Data 0.001 (0.003)	Loss 2.3420 (2.1720)	Prec@1 46.875 (45.179)	Prec@5 68.750 (75.687)
Epoch: [50][2610/14090]	Time 0.779 (0.766)	Data 0.001 (0.003)	Loss 2.0164 (2.1721)	Prec@1 49.219 (45.177)	Prec@5 78.906 (75.681)
Epoch: [50][2620/14090]	Time 0.738 (0.766)	Data 0.001 (0.003)	Loss 2.0708 (2.1724)	Prec@1 45.312 (45.169)	Prec@5 77.344 (75.678)
Epoch: [50][2630/14090]	Time 0.727 (0.766)	Data 0.001 (0.003)	Loss 2.1605 (2.1726)	Prec@1 44.531 (45.161)	Prec@5 74.219 (75.676)
Epoch: [50][2640/14090]	Time 0.756 (0.766)	Data 0.001 (0.003)	Loss 2.2048 (2.1726)	Prec@1 41.406 (45.158)	Prec@5 77.344 (75.678)
Epoch: [50][2650/14090]	Time 0.756 (0.766)	Data 0.001 (0.003)	Loss 2.1925 (2.1725)	Prec@1 45.312 (45.156)	Prec@5 76.562 (75.683)
Epoch: [50][2660/14090]	Time 0.874 (0.766)	Data 0.001 (0.003)	Loss 2.2560 (2.1722)	Prec@1 38.281 (45.165)	Prec@5 79.688 (75.691)
Epoch: [50][2670/14090]	Time 0.728 (0.766)	Data 0.001 (0.003)	Loss 2.2335 (2.1724)	Prec@1 39.844 (45.162)	Prec@5 78.906 (75.686)
Epoch: [50][2680/14090]	Time 0.744 (0.766)	Data 0.001 (0.003)	Loss 2.1738 (2.1722)	Prec@1 44.531 (45.170)	Prec@5 74.219 (75.688)
Epoch: [50][2690/14090]	Time 0.773 (0.766)	Data 0.001 (0.003)	Loss 2.0484 (2.1719)	Prec@1 45.312 (45.174)	Prec@5 75.000 (75.688)
Epoch: [50][2700/14090]	Time 0.754 (0.766)	Data 0.001 (0.003)	Loss 2.0648 (2.1719)	Prec@1 47.656 (45.176)	Prec@5 76.562 (75.689)
Epoch: [50][2710/14090]	Time 0.734 (0.766)	Data 0.001 (0.003)	Loss 2.1489 (2.1720)	Prec@1 44.531 (45.173)	Prec@5 72.656 (75.686)
Epoch: [50][2720/14090]	Time 0.731 (0.766)	Data 0.001 (0.003)	Loss 2.0631 (2.1717)	Prec@1 47.656 (45.180)	Prec@5 77.344 (75.691)
Epoch: [50][2730/14090]	Time 0.868 (0.766)	Data 0.001 (0.003)	Loss 2.3123 (2.1718)	Prec@1 41.406 (45.175)	Prec@5 75.781 (75.687)
Epoch: [50][2740/14090]	Time 0.752 (0.766)	Data 0.001 (0.003)	Loss 2.1591 (2.1718)	Prec@1 46.094 (45.178)	Prec@5 74.219 (75.697)
Epoch: [50][2750/14090]	Time 0.741 (0.766)	Data 0.001 (0.003)	Loss 2.1455 (2.1717)	Prec@1 42.969 (45.176)	Prec@5 73.438 (75.697)
Epoch: [50][2760/14090]	Time 0.773 (0.766)	Data 0.001 (0.003)	Loss 1.9694 (2.1713)	Prec@1 49.219 (45.179)	Prec@5 79.688 (75.703)
Epoch: [50][2770/14090]	Time 0.749 (0.766)	Data 0.001 (0.003)	Loss 2.2523 (2.1714)	Prec@1 43.750 (45.175)	Prec@5 67.969 (75.702)
Epoch: [50][2780/14090]	Time 0.735 (0.766)	Data 0.001 (0.003)	Loss 2.2427 (2.1714)	Prec@1 47.656 (45.178)	Prec@5 71.875 (75.702)
Epoch: [50][2790/14090]	Time 0.752 (0.766)	Data 0.001 (0.003)	Loss 2.1306 (2.1714)	Prec@1 42.969 (45.174)	Prec@5 81.250 (75.703)
Epoch: [50][2800/14090]	Time 0.908 (0.766)	Data 0.001 (0.003)	Loss 2.4558 (2.1715)	Prec@1 39.062 (45.172)	Prec@5 69.531 (75.700)
Epoch: [50][2810/14090]	Time 0.761 (0.766)	Data 0.001 (0.003)	Loss 2.1588 (2.1717)	Prec@1 50.000 (45.168)	Prec@5 75.000 (75.694)
Epoch: [50][2820/14090]	Time 0.733 (0.766)	Data 0.001 (0.003)	Loss 2.2949 (2.1717)	Prec@1 43.750 (45.170)	Prec@5 75.781 (75.697)
Epoch: [50][2830/14090]	Time 0.764 (0.766)	Data 0.001 (0.003)	Loss 2.1803 (2.1721)	Prec@1 50.000 (45.161)	Prec@5 75.781 (75.691)
Epoch: [50][2840/14090]	Time 0.756 (0.766)	Data 0.001 (0.003)	Loss 2.1051 (2.1722)	Prec@1 44.531 (45.155)	Prec@5 78.125 (75.687)
Epoch: [50][2850/14090]	Time 0.758 (0.766)	Data 0.001 (0.003)	Loss 2.3468 (2.1723)	Prec@1 41.406 (45.148)	Prec@5 71.094 (75.682)
Epoch: [50][2860/14090]	Time 0.732 (0.766)	Data 0.001 (0.003)	Loss 2.0995 (2.1724)	Prec@1 45.312 (45.147)	Prec@5 80.469 (75.683)
Epoch: [50][2870/14090]	Time 0.854 (0.766)	Data 0.001 (0.003)	Loss 2.0842 (2.1721)	Prec@1 49.219 (45.151)	Prec@5 77.344 (75.685)
Epoch: [50][2880/14090]	Time 0.779 (0.766)	Data 0.001 (0.003)	Loss 2.5256 (2.1725)	Prec@1 39.844 (45.142)	Prec@5 74.219 (75.681)
Epoch: [50][2890/14090]	Time 0.731 (0.766)	Data 0.001 (0.003)	Loss 2.1295 (2.1724)	Prec@1 53.125 (45.143)	Prec@5 73.438 (75.680)
Epoch: [50][2900/14090]	Time 0.724 (0.766)	Data 0.001 (0.003)	Loss 1.9477 (2.1726)	Prec@1 51.562 (45.140)	Prec@5 78.906 (75.677)
Epoch: [50][2910/14090]	Time 0.757 (0.766)	Data 0.001 (0.003)	Loss 2.3628 (2.1728)	Prec@1 41.406 (45.132)	Prec@5 73.438 (75.673)
Epoch: [50][2920/14090]	Time 0.755 (0.766)	Data 0.001 (0.003)	Loss 2.2159 (2.1732)	Prec@1 44.531 (45.123)	Prec@5 73.438 (75.669)
Epoch: [50][2930/14090]	Time 0.746 (0.766)	Data 0.001 (0.003)	Loss 1.9670 (2.1729)	Prec@1 50.781 (45.129)	Prec@5 77.344 (75.675)
Epoch: [50][2940/14090]	Time 0.942 (0.766)	Data 0.001 (0.003)	Loss 2.1963 (2.1727)	Prec@1 45.312 (45.133)	Prec@5 75.000 (75.675)
Epoch: [50][2950/14090]	Time 0.755 (0.766)	Data 0.001 (0.003)	Loss 2.0178 (2.1724)	Prec@1 50.781 (45.136)	Prec@5 75.781 (75.678)
Epoch: [50][2960/14090]	Time 0.747 (0.766)	Data 0.001 (0.003)	Loss 2.1276 (2.1721)	Prec@1 48.438 (45.143)	Prec@5 76.562 (75.683)
Epoch: [50][2970/14090]	Time 0.728 (0.766)	Data 0.001 (0.003)	Loss 1.9822 (2.1720)	Prec@1 53.906 (45.142)	Prec@5 76.562 (75.687)
Epoch: [50][2980/14090]	Time 0.735 (0.766)	Data 0.001 (0.003)	Loss 2.0735 (2.1721)	Prec@1 39.844 (45.140)	Prec@5 78.906 (75.682)
Epoch: [50][2990/14090]	Time 0.731 (0.766)	Data 0.001 (0.003)	Loss 2.0285 (2.1720)	Prec@1 46.094 (45.139)	Prec@5 81.250 (75.680)
Epoch: [50][3000/14090]	Time 0.732 (0.766)	Data 0.001 (0.003)	Loss 2.0299 (2.1721)	Prec@1 44.531 (45.132)	Prec@5 76.562 (75.677)
Epoch: [50][3010/14090]	Time 0.856 (0.766)	Data 0.001 (0.003)	Loss 1.9367 (2.1723)	Prec@1 53.125 (45.129)	Prec@5 78.125 (75.672)
Epoch: [50][3020/14090]	Time 0.741 (0.766)	Data 0.001 (0.003)	Loss 2.2738 (2.1724)	Prec@1 42.969 (45.130)	Prec@5 73.438 (75.671)
Epoch: [50][3030/14090]	Time 0.749 (0.766)	Data 0.001 (0.003)	Loss 2.5718 (2.1725)	Prec@1 37.500 (45.127)	Prec@5 64.062 (75.675)
Epoch: [50][3040/14090]	Time 0.747 (0.766)	Data 0.001 (0.003)	Loss 2.4418 (2.1725)	Prec@1 41.406 (45.131)	Prec@5 66.406 (75.673)
Epoch: [50][3050/14090]	Time 0.740 (0.766)	Data 0.001 (0.003)	Loss 2.3770 (2.1723)	Prec@1 36.719 (45.131)	Prec@5 72.656 (75.680)
Epoch: [50][3060/14090]	Time 0.726 (0.766)	Data 0.001 (0.003)	Loss 2.3289 (2.1724)	Prec@1 39.062 (45.123)	Prec@5 71.875 (75.681)
Epoch: [50][3070/14090]	Time 0.743 (0.766)	Data 0.001 (0.003)	Loss 2.1581 (2.1725)	Prec@1 41.406 (45.119)	Prec@5 77.344 (75.676)
Epoch: [50][3080/14090]	Time 0.870 (0.766)	Data 0.001 (0.003)	Loss 1.9361 (2.1725)	Prec@1 50.000 (45.115)	Prec@5 82.031 (75.679)
Epoch: [50][3090/14090]	Time 0.726 (0.766)	Data 0.001 (0.003)	Loss 1.9305 (2.1724)	Prec@1 49.219 (45.118)	Prec@5 77.344 (75.682)
Epoch: [50][3100/14090]	Time 0.735 (0.766)	Data 0.001 (0.003)	Loss 2.3760 (2.1727)	Prec@1 42.188 (45.116)	Prec@5 75.000 (75.677)
Epoch: [50][3110/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 2.2860 (2.1731)	Prec@1 41.406 (45.108)	Prec@5 73.438 (75.671)
Epoch: [50][3120/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 2.0641 (2.1731)	Prec@1 47.656 (45.106)	Prec@5 75.781 (75.673)
Epoch: [50][3130/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.1423 (2.1734)	Prec@1 48.438 (45.101)	Prec@5 77.344 (75.673)
Epoch: [50][3140/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 2.1718 (2.1734)	Prec@1 40.625 (45.096)	Prec@5 73.438 (75.672)
Epoch: [50][3150/14090]	Time 0.889 (0.766)	Data 0.001 (0.002)	Loss 2.0867 (2.1731)	Prec@1 42.969 (45.099)	Prec@5 75.781 (75.680)
Epoch: [50][3160/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 1.9670 (2.1733)	Prec@1 53.906 (45.094)	Prec@5 78.906 (75.680)
Epoch: [50][3170/14090]	Time 0.767 (0.766)	Data 0.001 (0.002)	Loss 2.4467 (2.1736)	Prec@1 42.969 (45.087)	Prec@5 73.438 (75.677)
Epoch: [50][3180/14090]	Time 0.774 (0.766)	Data 0.001 (0.002)	Loss 2.1920 (2.1737)	Prec@1 42.188 (45.083)	Prec@5 76.562 (75.674)
Epoch: [50][3190/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 2.0323 (2.1738)	Prec@1 46.094 (45.082)	Prec@5 78.906 (75.670)
Epoch: [50][3200/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.0843 (2.1736)	Prec@1 46.094 (45.089)	Prec@5 75.000 (75.671)
Epoch: [50][3210/14090]	Time 0.768 (0.766)	Data 0.001 (0.002)	Loss 1.8255 (2.1736)	Prec@1 49.219 (45.087)	Prec@5 78.125 (75.670)
Epoch: [50][3220/14090]	Time 0.859 (0.766)	Data 0.001 (0.002)	Loss 2.4189 (2.1740)	Prec@1 37.500 (45.080)	Prec@5 73.438 (75.663)
Epoch: [50][3230/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 1.9861 (2.1739)	Prec@1 50.000 (45.080)	Prec@5 78.906 (75.666)
Epoch: [50][3240/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 2.0374 (2.1739)	Prec@1 44.531 (45.079)	Prec@5 76.562 (75.660)
Epoch: [50][3250/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 2.2670 (2.1740)	Prec@1 39.062 (45.078)	Prec@5 75.000 (75.658)
Epoch: [50][3260/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.0005 (2.1739)	Prec@1 48.438 (45.079)	Prec@5 78.125 (75.659)
Epoch: [50][3270/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 2.0715 (2.1740)	Prec@1 43.750 (45.077)	Prec@5 79.688 (75.656)
Epoch: [50][3280/14090]	Time 0.724 (0.766)	Data 0.001 (0.002)	Loss 2.2892 (2.1743)	Prec@1 42.188 (45.072)	Prec@5 76.562 (75.649)
Epoch: [50][3290/14090]	Time 0.827 (0.766)	Data 0.001 (0.002)	Loss 2.2052 (2.1743)	Prec@1 47.656 (45.070)	Prec@5 77.344 (75.651)
Epoch: [50][3300/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 1.8958 (2.1744)	Prec@1 51.562 (45.066)	Prec@5 80.469 (75.649)
Epoch: [50][3310/14090]	Time 0.725 (0.766)	Data 0.001 (0.002)	Loss 2.4673 (2.1744)	Prec@1 35.156 (45.063)	Prec@5 71.094 (75.648)
Epoch: [50][3320/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.1126 (2.1743)	Prec@1 46.875 (45.064)	Prec@5 75.000 (75.653)
Epoch: [50][3330/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 2.0540 (2.1744)	Prec@1 46.875 (45.060)	Prec@5 71.094 (75.649)
Epoch: [50][3340/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 1.9655 (2.1742)	Prec@1 54.688 (45.062)	Prec@5 80.469 (75.654)
Epoch: [50][3350/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.6248 (2.1744)	Prec@1 35.938 (45.059)	Prec@5 67.188 (75.650)
Epoch: [50][3360/14090]	Time 0.845 (0.766)	Data 0.001 (0.002)	Loss 2.0894 (2.1744)	Prec@1 44.531 (45.061)	Prec@5 75.781 (75.652)
Epoch: [50][3370/14090]	Time 0.770 (0.766)	Data 0.001 (0.002)	Loss 2.2770 (2.1743)	Prec@1 50.000 (45.065)	Prec@5 71.094 (75.654)
Epoch: [50][3380/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 2.0913 (2.1740)	Prec@1 43.750 (45.072)	Prec@5 76.562 (75.661)
Epoch: [50][3390/14090]	Time 0.766 (0.766)	Data 0.001 (0.002)	Loss 2.0540 (2.1742)	Prec@1 50.781 (45.067)	Prec@5 78.906 (75.660)
Epoch: [50][3400/14090]	Time 0.725 (0.766)	Data 0.001 (0.002)	Loss 2.3134 (2.1739)	Prec@1 42.969 (45.074)	Prec@5 75.000 (75.668)
Epoch: [50][3410/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.1562 (2.1740)	Prec@1 51.562 (45.074)	Prec@5 74.219 (75.669)
Epoch: [50][3420/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 2.2602 (2.1740)	Prec@1 38.281 (45.068)	Prec@5 72.656 (75.670)
Epoch: [50][3430/14090]	Time 0.876 (0.766)	Data 0.001 (0.002)	Loss 2.4842 (2.1740)	Prec@1 38.281 (45.070)	Prec@5 70.312 (75.668)
Epoch: [50][3440/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 2.1453 (2.1740)	Prec@1 48.438 (45.067)	Prec@5 75.000 (75.670)
Epoch: [50][3450/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.1912 (2.1739)	Prec@1 47.656 (45.070)	Prec@5 76.562 (75.671)
Epoch: [50][3460/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 2.4472 (2.1741)	Prec@1 42.969 (45.069)	Prec@5 71.875 (75.667)
Epoch: [50][3470/14090]	Time 0.734 (0.766)	Data 0.003 (0.002)	Loss 2.4224 (2.1743)	Prec@1 38.281 (45.064)	Prec@5 71.875 (75.662)
Epoch: [50][3480/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 2.1584 (2.1743)	Prec@1 48.438 (45.062)	Prec@5 74.219 (75.662)
Epoch: [50][3490/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 2.3446 (2.1742)	Prec@1 38.281 (45.059)	Prec@5 72.656 (75.665)
Epoch: [50][3500/14090]	Time 0.880 (0.766)	Data 0.001 (0.002)	Loss 2.1321 (2.1741)	Prec@1 45.312 (45.063)	Prec@5 74.219 (75.666)
Epoch: [50][3510/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 2.1753 (2.1742)	Prec@1 42.188 (45.056)	Prec@5 78.906 (75.666)
Epoch: [50][3520/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 2.2072 (2.1743)	Prec@1 44.531 (45.058)	Prec@5 76.562 (75.664)
Epoch: [50][3530/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 2.1121 (2.1743)	Prec@1 47.656 (45.056)	Prec@5 82.812 (75.668)
Epoch: [50][3540/14090]	Time 0.728 (0.766)	Data 0.002 (0.002)	Loss 2.0095 (2.1740)	Prec@1 46.875 (45.063)	Prec@5 78.906 (75.673)
Epoch: [50][3550/14090]	Time 0.761 (0.766)	Data 0.001 (0.002)	Loss 2.0497 (2.1744)	Prec@1 45.312 (45.055)	Prec@5 77.344 (75.662)
Epoch: [50][3560/14090]	Time 0.752 (0.766)	Data 0.002 (0.002)	Loss 2.1232 (2.1745)	Prec@1 49.219 (45.051)	Prec@5 78.125 (75.661)
Epoch: [50][3570/14090]	Time 0.851 (0.766)	Data 0.001 (0.002)	Loss 2.3217 (2.1747)	Prec@1 42.188 (45.044)	Prec@5 71.875 (75.658)
Epoch: [50][3580/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.0806 (2.1746)	Prec@1 48.438 (45.041)	Prec@5 76.562 (75.661)
Epoch: [50][3590/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.4613 (2.1746)	Prec@1 37.500 (45.044)	Prec@5 71.875 (75.664)
Epoch: [50][3600/14090]	Time 0.761 (0.766)	Data 0.001 (0.002)	Loss 1.9756 (2.1743)	Prec@1 48.438 (45.050)	Prec@5 79.688 (75.671)
Epoch: [50][3610/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 1.8577 (2.1741)	Prec@1 51.562 (45.055)	Prec@5 80.469 (75.675)
Epoch: [50][3620/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 2.0079 (2.1737)	Prec@1 44.531 (45.060)	Prec@5 80.469 (75.682)
Epoch: [50][3630/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 2.1180 (2.1736)	Prec@1 42.969 (45.064)	Prec@5 76.562 (75.682)
Epoch: [50][3640/14090]	Time 1.018 (0.766)	Data 0.001 (0.002)	Loss 2.1949 (2.1733)	Prec@1 48.438 (45.069)	Prec@5 75.781 (75.689)
Epoch: [50][3650/14090]	Time 0.723 (0.766)	Data 0.001 (0.002)	Loss 2.0289 (2.1733)	Prec@1 47.656 (45.071)	Prec@5 77.344 (75.687)
Epoch: [50][3660/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 1.8957 (2.1732)	Prec@1 53.906 (45.069)	Prec@5 77.344 (75.688)
Epoch: [50][3670/14090]	Time 0.774 (0.766)	Data 0.001 (0.002)	Loss 2.1711 (2.1733)	Prec@1 46.875 (45.068)	Prec@5 75.000 (75.686)
Epoch: [50][3680/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 2.0996 (2.1731)	Prec@1 49.219 (45.074)	Prec@5 74.219 (75.691)
Epoch: [50][3690/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 2.4776 (2.1732)	Prec@1 42.188 (45.072)	Prec@5 71.094 (75.688)
Epoch: [50][3700/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.2066 (2.1733)	Prec@1 43.750 (45.070)	Prec@5 74.219 (75.681)
Epoch: [50][3710/14090]	Time 0.876 (0.766)	Data 0.001 (0.002)	Loss 2.3240 (2.1733)	Prec@1 38.281 (45.069)	Prec@5 75.000 (75.682)
Epoch: [50][3720/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 2.1359 (2.1733)	Prec@1 46.875 (45.068)	Prec@5 77.344 (75.682)
Epoch: [50][3730/14090]	Time 0.789 (0.766)	Data 0.001 (0.002)	Loss 1.8173 (2.1731)	Prec@1 52.344 (45.077)	Prec@5 79.688 (75.683)
Epoch: [50][3740/14090]	Time 0.778 (0.766)	Data 0.001 (0.002)	Loss 2.3882 (2.1733)	Prec@1 44.531 (45.073)	Prec@5 74.219 (75.680)
Epoch: [50][3750/14090]	Time 0.765 (0.766)	Data 0.001 (0.002)	Loss 2.0045 (2.1732)	Prec@1 46.875 (45.083)	Prec@5 82.031 (75.683)
Epoch: [50][3760/14090]	Time 0.721 (0.766)	Data 0.001 (0.002)	Loss 2.1785 (2.1733)	Prec@1 39.844 (45.079)	Prec@5 79.688 (75.682)
Epoch: [50][3770/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 1.9090 (2.1734)	Prec@1 47.656 (45.073)	Prec@5 82.812 (75.682)
Epoch: [50][3780/14090]	Time 0.854 (0.766)	Data 0.001 (0.002)	Loss 2.2520 (2.1732)	Prec@1 46.875 (45.077)	Prec@5 74.219 (75.685)
Epoch: [50][3790/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 2.0266 (2.1733)	Prec@1 49.219 (45.076)	Prec@5 78.125 (75.684)
Epoch: [50][3800/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 2.1245 (2.1733)	Prec@1 46.875 (45.078)	Prec@5 73.438 (75.685)
Epoch: [50][3810/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 2.2324 (2.1736)	Prec@1 44.531 (45.073)	Prec@5 77.344 (75.685)
Epoch: [50][3820/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.4495 (2.1736)	Prec@1 42.969 (45.078)	Prec@5 67.188 (75.683)
Epoch: [50][3830/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 1.9245 (2.1738)	Prec@1 53.906 (45.075)	Prec@5 78.125 (75.681)
Epoch: [50][3840/14090]	Time 0.725 (0.766)	Data 0.001 (0.002)	Loss 2.3009 (2.1737)	Prec@1 46.875 (45.078)	Prec@5 72.656 (75.684)
Epoch: [50][3850/14090]	Time 0.847 (0.766)	Data 0.001 (0.002)	Loss 2.2351 (2.1736)	Prec@1 42.188 (45.076)	Prec@5 71.875 (75.683)
Epoch: [50][3860/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.2870 (2.1739)	Prec@1 41.406 (45.069)	Prec@5 75.781 (75.678)
Epoch: [50][3870/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 2.3597 (2.1742)	Prec@1 42.969 (45.068)	Prec@5 72.656 (75.672)
Epoch: [50][3880/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.0293 (2.1743)	Prec@1 46.094 (45.062)	Prec@5 78.125 (75.674)
Epoch: [50][3890/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.2571 (2.1743)	Prec@1 42.188 (45.060)	Prec@5 71.094 (75.672)
Epoch: [50][3900/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 2.1595 (2.1744)	Prec@1 39.062 (45.059)	Prec@5 79.688 (75.666)
Epoch: [50][3910/14090]	Time 0.766 (0.766)	Data 0.001 (0.002)	Loss 2.2755 (2.1747)	Prec@1 40.625 (45.055)	Prec@5 71.875 (75.662)
Epoch: [50][3920/14090]	Time 0.896 (0.766)	Data 0.001 (0.002)	Loss 2.3151 (2.1748)	Prec@1 43.750 (45.051)	Prec@5 68.750 (75.656)
Epoch: [50][3930/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.0244 (2.1751)	Prec@1 47.656 (45.045)	Prec@5 75.781 (75.650)
Epoch: [50][3940/14090]	Time 0.761 (0.766)	Data 0.001 (0.002)	Loss 1.9793 (2.1750)	Prec@1 46.875 (45.048)	Prec@5 78.906 (75.650)
Epoch: [50][3950/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.2242 (2.1748)	Prec@1 41.406 (45.051)	Prec@5 79.688 (75.655)
Epoch: [50][3960/14090]	Time 0.725 (0.766)	Data 0.001 (0.002)	Loss 2.3152 (2.1748)	Prec@1 39.062 (45.054)	Prec@5 72.656 (75.653)
Epoch: [50][3970/14090]	Time 0.724 (0.766)	Data 0.001 (0.002)	Loss 2.1605 (2.1747)	Prec@1 42.969 (45.052)	Prec@5 74.219 (75.653)
Epoch: [50][3980/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 2.2088 (2.1747)	Prec@1 38.281 (45.053)	Prec@5 75.000 (75.654)
Epoch: [50][3990/14090]	Time 0.895 (0.766)	Data 0.001 (0.002)	Loss 2.0172 (2.1745)	Prec@1 48.438 (45.052)	Prec@5 78.906 (75.658)
Epoch: [50][4000/14090]	Time 0.723 (0.766)	Data 0.001 (0.002)	Loss 2.1486 (2.1746)	Prec@1 46.875 (45.047)	Prec@5 75.000 (75.657)
Epoch: [50][4010/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 2.1707 (2.1744)	Prec@1 43.750 (45.049)	Prec@5 75.781 (75.658)
Epoch: [50][4020/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 2.2461 (2.1745)	Prec@1 43.750 (45.048)	Prec@5 73.438 (75.652)
Epoch: [50][4030/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.3022 (2.1746)	Prec@1 44.531 (45.046)	Prec@5 71.094 (75.650)
Epoch: [50][4040/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 1.9883 (2.1747)	Prec@1 49.219 (45.049)	Prec@5 77.344 (75.649)
Epoch: [50][4050/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.0142 (2.1745)	Prec@1 49.219 (45.052)	Prec@5 76.562 (75.652)
Epoch: [50][4060/14090]	Time 0.873 (0.766)	Data 0.001 (0.002)	Loss 2.2721 (2.1745)	Prec@1 39.062 (45.052)	Prec@5 76.562 (75.651)
Epoch: [50][4070/14090]	Time 0.728 (0.766)	Data 0.001 (0.002)	Loss 2.0968 (2.1744)	Prec@1 46.094 (45.050)	Prec@5 79.688 (75.657)
Epoch: [50][4080/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 2.3320 (2.1743)	Prec@1 41.406 (45.054)	Prec@5 79.688 (75.662)
Epoch: [50][4090/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 2.1672 (2.1742)	Prec@1 45.312 (45.056)	Prec@5 78.906 (75.666)
Epoch: [50][4100/14090]	Time 0.721 (0.766)	Data 0.001 (0.002)	Loss 1.9992 (2.1740)	Prec@1 51.562 (45.061)	Prec@5 75.000 (75.668)
Epoch: [50][4110/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 2.3666 (2.1742)	Prec@1 40.625 (45.059)	Prec@5 68.750 (75.663)
Epoch: [50][4120/14090]	Time 0.765 (0.766)	Data 0.001 (0.002)	Loss 2.1495 (2.1741)	Prec@1 46.094 (45.062)	Prec@5 73.438 (75.663)
Epoch: [50][4130/14090]	Time 0.878 (0.766)	Data 0.002 (0.002)	Loss 2.4710 (2.1743)	Prec@1 40.625 (45.061)	Prec@5 69.531 (75.661)
Epoch: [50][4140/14090]	Time 0.769 (0.766)	Data 0.001 (0.002)	Loss 2.2755 (2.1742)	Prec@1 39.062 (45.060)	Prec@5 75.000 (75.662)
Epoch: [50][4150/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 1.9038 (2.1743)	Prec@1 52.344 (45.059)	Prec@5 82.031 (75.663)
Epoch: [50][4160/14090]	Time 0.770 (0.766)	Data 0.001 (0.002)	Loss 2.3408 (2.1744)	Prec@1 40.625 (45.056)	Prec@5 74.219 (75.660)
Epoch: [50][4170/14090]	Time 0.780 (0.766)	Data 0.001 (0.002)	Loss 1.9868 (2.1744)	Prec@1 48.438 (45.055)	Prec@5 72.656 (75.658)
Epoch: [50][4180/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.0177 (2.1744)	Prec@1 40.625 (45.051)	Prec@5 80.469 (75.658)
Epoch: [50][4190/14090]	Time 0.769 (0.766)	Data 0.001 (0.002)	Loss 2.1286 (2.1745)	Prec@1 44.531 (45.050)	Prec@5 75.000 (75.654)
Epoch: [50][4200/14090]	Time 1.035 (0.766)	Data 0.001 (0.002)	Loss 2.0711 (2.1745)	Prec@1 52.344 (45.054)	Prec@5 75.000 (75.657)
Epoch: [50][4210/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 2.3003 (2.1745)	Prec@1 42.188 (45.057)	Prec@5 69.531 (75.655)
Epoch: [50][4220/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 2.0529 (2.1746)	Prec@1 48.438 (45.052)	Prec@5 75.781 (75.652)
Epoch: [50][4230/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.2459 (2.1747)	Prec@1 46.875 (45.058)	Prec@5 72.656 (75.650)
Epoch: [50][4240/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 2.3731 (2.1746)	Prec@1 43.750 (45.062)	Prec@5 71.094 (75.652)
Epoch: [50][4250/14090]	Time 0.761 (0.766)	Data 0.001 (0.002)	Loss 2.2454 (2.1747)	Prec@1 43.750 (45.061)	Prec@5 74.219 (75.649)
Epoch: [50][4260/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 2.5774 (2.1746)	Prec@1 32.031 (45.058)	Prec@5 71.875 (75.653)
Epoch: [50][4270/14090]	Time 0.888 (0.766)	Data 0.001 (0.002)	Loss 2.1725 (2.1747)	Prec@1 47.656 (45.053)	Prec@5 75.000 (75.652)
Epoch: [50][4280/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.4072 (2.1748)	Prec@1 40.625 (45.050)	Prec@5 75.781 (75.657)
Epoch: [50][4290/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 1.9543 (2.1748)	Prec@1 48.438 (45.050)	Prec@5 76.562 (75.656)
Epoch: [50][4300/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 2.0702 (2.1749)	Prec@1 49.219 (45.048)	Prec@5 77.344 (75.654)
Epoch: [50][4310/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 2.4313 (2.1751)	Prec@1 41.406 (45.046)	Prec@5 67.969 (75.653)
Epoch: [50][4320/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 2.1401 (2.1751)	Prec@1 42.188 (45.043)	Prec@5 75.781 (75.653)
Epoch: [50][4330/14090]	Time 0.761 (0.766)	Data 0.001 (0.002)	Loss 2.4557 (2.1753)	Prec@1 35.938 (45.041)	Prec@5 68.750 (75.651)
Epoch: [50][4340/14090]	Time 0.876 (0.766)	Data 0.001 (0.002)	Loss 2.2511 (2.1755)	Prec@1 41.406 (45.039)	Prec@5 72.656 (75.646)
Epoch: [50][4350/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 2.3815 (2.1754)	Prec@1 39.844 (45.040)	Prec@5 75.000 (75.649)
Epoch: [50][4360/14090]	Time 0.750 (0.766)	Data 0.005 (0.002)	Loss 2.4050 (2.1755)	Prec@1 39.844 (45.039)	Prec@5 72.656 (75.645)
Epoch: [50][4370/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.0894 (2.1757)	Prec@1 46.875 (45.033)	Prec@5 81.250 (75.644)
Epoch: [50][4380/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.3939 (2.1757)	Prec@1 39.844 (45.033)	Prec@5 76.562 (75.645)
Epoch: [50][4390/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.2328 (2.1758)	Prec@1 44.531 (45.033)	Prec@5 75.000 (75.644)
Epoch: [50][4400/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 2.0307 (2.1757)	Prec@1 44.531 (45.038)	Prec@5 80.469 (75.645)
Epoch: [50][4410/14090]	Time 0.879 (0.766)	Data 0.001 (0.002)	Loss 2.1433 (2.1757)	Prec@1 42.969 (45.034)	Prec@5 78.906 (75.647)
Epoch: [50][4420/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 2.1531 (2.1756)	Prec@1 39.844 (45.036)	Prec@5 75.781 (75.651)
Epoch: [50][4430/14090]	Time 0.763 (0.766)	Data 0.001 (0.002)	Loss 2.3806 (2.1755)	Prec@1 44.531 (45.039)	Prec@5 70.312 (75.653)
Epoch: [50][4440/14090]	Time 0.726 (0.767)	Data 0.001 (0.002)	Loss 2.2784 (2.1754)	Prec@1 49.219 (45.041)	Prec@5 68.750 (75.655)
Epoch: [50][4450/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 1.8578 (2.1754)	Prec@1 53.125 (45.042)	Prec@5 83.594 (75.656)
Epoch: [50][4460/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 2.1074 (2.1753)	Prec@1 47.656 (45.044)	Prec@5 82.031 (75.659)
Epoch: [50][4470/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 2.3710 (2.1755)	Prec@1 44.531 (45.037)	Prec@5 68.750 (75.659)
Epoch: [50][4480/14090]	Time 1.020 (0.767)	Data 0.001 (0.002)	Loss 2.1416 (2.1756)	Prec@1 45.312 (45.034)	Prec@5 78.906 (75.661)
Epoch: [50][4490/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 1.9954 (2.1753)	Prec@1 50.000 (45.041)	Prec@5 76.562 (75.664)
Epoch: [50][4500/14090]	Time 0.766 (0.767)	Data 0.001 (0.002)	Loss 2.1278 (2.1751)	Prec@1 47.656 (45.044)	Prec@5 76.562 (75.667)
Epoch: [50][4510/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 2.1307 (2.1751)	Prec@1 43.750 (45.046)	Prec@5 77.344 (75.666)
Epoch: [50][4520/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 2.1576 (2.1751)	Prec@1 47.656 (45.047)	Prec@5 78.906 (75.666)
Epoch: [50][4530/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.2099 (2.1754)	Prec@1 37.500 (45.041)	Prec@5 75.781 (75.662)
Epoch: [50][4540/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 2.5195 (2.1756)	Prec@1 41.406 (45.040)	Prec@5 67.188 (75.657)
Epoch: [50][4550/14090]	Time 0.893 (0.767)	Data 0.001 (0.002)	Loss 2.0234 (2.1755)	Prec@1 50.000 (45.042)	Prec@5 77.344 (75.653)
Epoch: [50][4560/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 2.0604 (2.1757)	Prec@1 46.094 (45.042)	Prec@5 81.250 (75.650)
Epoch: [50][4570/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 2.2992 (2.1758)	Prec@1 46.875 (45.042)	Prec@5 77.344 (75.647)
Epoch: [50][4580/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 2.2321 (2.1757)	Prec@1 41.406 (45.044)	Prec@5 72.656 (75.652)
Epoch: [50][4590/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 1.9137 (2.1756)	Prec@1 53.906 (45.047)	Prec@5 80.469 (75.650)
Epoch: [50][4600/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.2190 (2.1756)	Prec@1 42.969 (45.044)	Prec@5 72.656 (75.652)
Epoch: [50][4610/14090]	Time 0.762 (0.767)	Data 0.001 (0.002)	Loss 2.1120 (2.1755)	Prec@1 42.188 (45.042)	Prec@5 78.906 (75.652)
Epoch: [50][4620/14090]	Time 0.868 (0.767)	Data 0.001 (0.002)	Loss 2.0084 (2.1755)	Prec@1 52.344 (45.043)	Prec@5 83.594 (75.654)
Epoch: [50][4630/14090]	Time 0.724 (0.767)	Data 0.001 (0.002)	Loss 2.2637 (2.1754)	Prec@1 40.625 (45.045)	Prec@5 74.219 (75.656)
Epoch: [50][4640/14090]	Time 0.776 (0.767)	Data 0.001 (0.002)	Loss 2.1285 (2.1754)	Prec@1 46.875 (45.043)	Prec@5 78.906 (75.657)
Epoch: [50][4650/14090]	Time 0.763 (0.767)	Data 0.003 (0.002)	Loss 2.3206 (2.1754)	Prec@1 46.094 (45.048)	Prec@5 76.562 (75.657)
Epoch: [50][4660/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 2.2904 (2.1755)	Prec@1 41.406 (45.043)	Prec@5 71.094 (75.653)
Epoch: [50][4670/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 2.0438 (2.1755)	Prec@1 46.094 (45.041)	Prec@5 77.344 (75.651)
Epoch: [50][4680/14090]	Time 0.724 (0.767)	Data 0.001 (0.002)	Loss 2.2692 (2.1755)	Prec@1 44.531 (45.041)	Prec@5 71.094 (75.650)
Epoch: [50][4690/14090]	Time 0.881 (0.767)	Data 0.001 (0.002)	Loss 2.2867 (2.1755)	Prec@1 44.531 (45.038)	Prec@5 71.875 (75.649)
Epoch: [50][4700/14090]	Time 0.728 (0.767)	Data 0.001 (0.002)	Loss 2.5352 (2.1756)	Prec@1 37.500 (45.033)	Prec@5 73.438 (75.652)
Epoch: [50][4710/14090]	Time 0.723 (0.767)	Data 0.001 (0.002)	Loss 2.1248 (2.1755)	Prec@1 46.094 (45.034)	Prec@5 76.562 (75.656)
Epoch: [50][4720/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 2.3383 (2.1753)	Prec@1 46.094 (45.041)	Prec@5 75.000 (75.658)
Epoch: [50][4730/14090]	Time 0.796 (0.767)	Data 0.001 (0.002)	Loss 2.2223 (2.1750)	Prec@1 49.219 (45.048)	Prec@5 75.000 (75.664)
Epoch: [50][4740/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 1.9676 (2.1749)	Prec@1 45.312 (45.049)	Prec@5 81.250 (75.666)
Epoch: [50][4750/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 2.3159 (2.1748)	Prec@1 37.500 (45.052)	Prec@5 70.312 (75.666)
Epoch: [50][4760/14090]	Time 0.900 (0.767)	Data 0.001 (0.002)	Loss 2.2315 (2.1750)	Prec@1 48.438 (45.050)	Prec@5 69.531 (75.662)
Epoch: [50][4770/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 2.1358 (2.1748)	Prec@1 45.312 (45.056)	Prec@5 77.344 (75.667)
Epoch: [50][4780/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 2.3720 (2.1747)	Prec@1 40.625 (45.055)	Prec@5 69.531 (75.668)
Epoch: [50][4790/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 1.9645 (2.1748)	Prec@1 48.438 (45.056)	Prec@5 78.125 (75.669)
Epoch: [50][4800/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 2.0189 (2.1749)	Prec@1 50.000 (45.057)	Prec@5 77.344 (75.667)
Epoch: [50][4810/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 2.0172 (2.1748)	Prec@1 45.312 (45.060)	Prec@5 75.000 (75.668)
Epoch: [50][4820/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 2.2649 (2.1748)	Prec@1 42.188 (45.060)	Prec@5 70.312 (75.667)
Epoch: [50][4830/14090]	Time 0.894 (0.767)	Data 0.001 (0.002)	Loss 2.0131 (2.1749)	Prec@1 46.094 (45.061)	Prec@5 75.781 (75.665)
Epoch: [50][4840/14090]	Time 0.763 (0.767)	Data 0.001 (0.002)	Loss 2.2084 (2.1749)	Prec@1 41.406 (45.061)	Prec@5 72.656 (75.663)
Epoch: [50][4850/14090]	Time 0.757 (0.767)	Data 0.001 (0.002)	Loss 1.9541 (2.1751)	Prec@1 49.219 (45.059)	Prec@5 80.469 (75.656)
Epoch: [50][4860/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 2.3157 (2.1750)	Prec@1 48.438 (45.063)	Prec@5 75.000 (75.654)
Epoch: [50][4870/14090]	Time 0.744 (0.767)	Data 0.002 (0.002)	Loss 2.2474 (2.1750)	Prec@1 41.406 (45.065)	Prec@5 75.000 (75.652)
Epoch: [50][4880/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 2.1949 (2.1748)	Prec@1 39.844 (45.068)	Prec@5 75.781 (75.654)
Epoch: [50][4890/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 2.0893 (2.1750)	Prec@1 42.969 (45.066)	Prec@5 82.812 (75.652)
Epoch: [50][4900/14090]	Time 0.867 (0.767)	Data 0.001 (0.002)	Loss 2.2627 (2.1749)	Prec@1 48.438 (45.071)	Prec@5 76.562 (75.649)
Epoch: [50][4910/14090]	Time 0.730 (0.767)	Data 0.003 (0.002)	Loss 2.2582 (2.1751)	Prec@1 45.312 (45.066)	Prec@5 74.219 (75.645)
Epoch: [50][4920/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 2.1036 (2.1752)	Prec@1 42.188 (45.061)	Prec@5 79.688 (75.644)
Epoch: [50][4930/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 2.6805 (2.1751)	Prec@1 35.938 (45.063)	Prec@5 64.844 (75.646)
Epoch: [50][4940/14090]	Time 0.728 (0.767)	Data 0.001 (0.002)	Loss 1.8197 (2.1752)	Prec@1 54.688 (45.060)	Prec@5 84.375 (75.642)
Epoch: [50][4950/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 2.1693 (2.1752)	Prec@1 44.531 (45.063)	Prec@5 75.781 (75.642)
Epoch: [50][4960/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.4053 (2.1752)	Prec@1 39.062 (45.059)	Prec@5 67.969 (75.640)
Epoch: [50][4970/14090]	Time 0.885 (0.767)	Data 0.001 (0.002)	Loss 2.0262 (2.1753)	Prec@1 47.656 (45.059)	Prec@5 75.000 (75.642)
Epoch: [50][4980/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 2.2211 (2.1755)	Prec@1 48.438 (45.055)	Prec@5 76.562 (75.643)
Epoch: [50][4990/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 2.4799 (2.1755)	Prec@1 41.406 (45.052)	Prec@5 67.969 (75.641)
Epoch: [50][5000/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.3009 (2.1756)	Prec@1 48.438 (45.054)	Prec@5 71.875 (75.638)
Epoch: [50][5010/14090]	Time 0.774 (0.767)	Data 0.001 (0.002)	Loss 2.0034 (2.1755)	Prec@1 49.219 (45.052)	Prec@5 78.125 (75.641)
Epoch: [50][5020/14090]	Time 0.723 (0.767)	Data 0.001 (0.002)	Loss 2.4425 (2.1756)	Prec@1 44.531 (45.049)	Prec@5 73.438 (75.642)
Epoch: [50][5030/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 2.1311 (2.1756)	Prec@1 46.875 (45.046)	Prec@5 76.562 (75.642)
Epoch: [50][5040/14090]	Time 0.904 (0.767)	Data 0.001 (0.002)	Loss 2.3818 (2.1758)	Prec@1 47.656 (45.045)	Prec@5 69.531 (75.640)
Epoch: [50][5050/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 2.2409 (2.1758)	Prec@1 37.500 (45.044)	Prec@5 75.781 (75.642)
Epoch: [50][5060/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 2.0211 (2.1759)	Prec@1 53.125 (45.044)	Prec@5 77.344 (75.640)
Epoch: [50][5070/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 2.2471 (2.1759)	Prec@1 39.844 (45.041)	Prec@5 75.781 (75.642)
Epoch: [50][5080/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 2.0345 (2.1757)	Prec@1 49.219 (45.047)	Prec@5 75.000 (75.647)
Epoch: [50][5090/14090]	Time 0.722 (0.767)	Data 0.001 (0.002)	Loss 2.0693 (2.1755)	Prec@1 51.562 (45.052)	Prec@5 74.219 (75.648)
Epoch: [50][5100/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.3917 (2.1755)	Prec@1 40.625 (45.052)	Prec@5 72.656 (75.648)
Epoch: [50][5110/14090]	Time 0.866 (0.767)	Data 0.001 (0.002)	Loss 1.9505 (2.1755)	Prec@1 52.344 (45.053)	Prec@5 78.906 (75.648)
Epoch: [50][5120/14090]	Time 0.757 (0.767)	Data 0.001 (0.002)	Loss 2.2013 (2.1755)	Prec@1 43.750 (45.055)	Prec@5 74.219 (75.645)
Epoch: [50][5130/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 2.5586 (2.1756)	Prec@1 39.062 (45.052)	Prec@5 65.625 (75.644)
Epoch: [50][5140/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 2.0255 (2.1756)	Prec@1 47.656 (45.050)	Prec@5 76.562 (75.643)
Epoch: [50][5150/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.3532 (2.1757)	Prec@1 44.531 (45.049)	Prec@5 73.438 (75.643)
Epoch: [50][5160/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.1701 (2.1756)	Prec@1 46.094 (45.052)	Prec@5 73.438 (75.644)
Epoch: [50][5170/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 2.5529 (2.1757)	Prec@1 38.281 (45.051)	Prec@5 69.531 (75.640)
Epoch: [50][5180/14090]	Time 0.873 (0.767)	Data 0.001 (0.002)	Loss 2.1422 (2.1759)	Prec@1 42.969 (45.045)	Prec@5 74.219 (75.637)
Epoch: [50][5190/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.2161 (2.1760)	Prec@1 46.094 (45.040)	Prec@5 76.562 (75.637)
Epoch: [50][5200/14090]	Time 0.766 (0.767)	Data 0.001 (0.002)	Loss 2.4341 (2.1763)	Prec@1 39.844 (45.035)	Prec@5 67.969 (75.633)
Epoch: [50][5210/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 2.1119 (2.1763)	Prec@1 39.062 (45.032)	Prec@5 78.125 (75.632)
Epoch: [50][5220/14090]	Time 0.780 (0.767)	Data 0.001 (0.002)	Loss 2.2164 (2.1762)	Prec@1 46.875 (45.036)	Prec@5 72.656 (75.631)
Epoch: [50][5230/14090]	Time 0.726 (0.767)	Data 0.001 (0.002)	Loss 2.2825 (2.1762)	Prec@1 43.750 (45.039)	Prec@5 72.656 (75.630)
Epoch: [50][5240/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 1.9942 (2.1763)	Prec@1 51.562 (45.038)	Prec@5 80.469 (75.632)
Epoch: [50][5250/14090]	Time 0.875 (0.767)	Data 0.001 (0.002)	Loss 2.1484 (2.1764)	Prec@1 42.969 (45.034)	Prec@5 77.344 (75.629)
Epoch: [50][5260/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 2.1222 (2.1766)	Prec@1 45.312 (45.030)	Prec@5 73.438 (75.625)
Epoch: [50][5270/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 2.1326 (2.1769)	Prec@1 51.562 (45.026)	Prec@5 73.438 (75.621)
Epoch: [50][5280/14090]	Time 0.727 (0.767)	Data 0.001 (0.002)	Loss 2.1093 (2.1770)	Prec@1 43.750 (45.025)	Prec@5 76.562 (75.618)
Epoch: [50][5290/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 1.9486 (2.1770)	Prec@1 46.875 (45.025)	Prec@5 82.031 (75.617)
Epoch: [50][5300/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 2.2735 (2.1769)	Prec@1 43.750 (45.027)	Prec@5 72.656 (75.618)
Epoch: [50][5310/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 2.1803 (2.1769)	Prec@1 46.875 (45.031)	Prec@5 73.438 (75.619)
Epoch: [50][5320/14090]	Time 0.962 (0.767)	Data 0.001 (0.002)	Loss 2.1045 (2.1770)	Prec@1 45.312 (45.029)	Prec@5 77.344 (75.619)
Epoch: [50][5330/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 1.8157 (2.1770)	Prec@1 55.469 (45.031)	Prec@5 83.594 (75.620)
Epoch: [50][5340/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 2.2481 (2.1769)	Prec@1 44.531 (45.033)	Prec@5 73.438 (75.620)
Epoch: [50][5350/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 2.2770 (2.1769)	Prec@1 41.406 (45.031)	Prec@5 81.250 (75.623)
Epoch: [50][5360/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 2.0424 (2.1769)	Prec@1 46.094 (45.030)	Prec@5 81.250 (75.626)
Epoch: [50][5370/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 2.0901 (2.1768)	Prec@1 46.094 (45.030)	Prec@5 79.688 (75.629)
Epoch: [50][5380/14090]	Time 0.763 (0.767)	Data 0.001 (0.002)	Loss 2.3967 (2.1768)	Prec@1 35.938 (45.029)	Prec@5 74.219 (75.628)
Epoch: [50][5390/14090]	Time 0.936 (0.767)	Data 0.001 (0.002)	Loss 2.2929 (2.1770)	Prec@1 42.188 (45.025)	Prec@5 76.562 (75.624)
Epoch: [50][5400/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 2.4743 (2.1772)	Prec@1 37.500 (45.022)	Prec@5 71.875 (75.623)
Epoch: [50][5410/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 2.2877 (2.1772)	Prec@1 42.188 (45.019)	Prec@5 71.875 (75.623)
Epoch: [50][5420/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 1.9205 (2.1770)	Prec@1 53.125 (45.022)	Prec@5 80.469 (75.626)
Epoch: [50][5430/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 2.4005 (2.1770)	Prec@1 42.969 (45.025)	Prec@5 74.219 (75.629)
Epoch: [50][5440/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 2.3193 (2.1770)	Prec@1 43.750 (45.022)	Prec@5 77.344 (75.629)
Epoch: [50][5450/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 1.9960 (2.1771)	Prec@1 48.438 (45.020)	Prec@5 82.812 (75.628)
Epoch: [50][5460/14090]	Time 0.833 (0.767)	Data 0.001 (0.002)	Loss 2.4142 (2.1773)	Prec@1 39.844 (45.015)	Prec@5 67.969 (75.622)
Epoch: [50][5470/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 2.4165 (2.1774)	Prec@1 41.406 (45.014)	Prec@5 72.656 (75.619)
Epoch: [50][5480/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 2.4673 (2.1774)	Prec@1 44.531 (45.016)	Prec@5 70.312 (75.620)
Epoch: [50][5490/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 2.2509 (2.1774)	Prec@1 41.406 (45.015)	Prec@5 73.438 (75.621)
Epoch: [50][5500/14090]	Time 0.777 (0.767)	Data 0.001 (0.002)	Loss 2.0994 (2.1774)	Prec@1 48.438 (45.017)	Prec@5 75.781 (75.620)
Epoch: [50][5510/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 2.2007 (2.1774)	Prec@1 45.312 (45.016)	Prec@5 73.438 (75.621)
Epoch: [50][5520/14090]	Time 0.763 (0.767)	Data 0.001 (0.002)	Loss 2.2484 (2.1775)	Prec@1 34.375 (45.013)	Prec@5 71.875 (75.619)
Epoch: [50][5530/14090]	Time 0.874 (0.767)	Data 0.002 (0.002)	Loss 2.2927 (2.1776)	Prec@1 41.406 (45.009)	Prec@5 69.531 (75.616)
Epoch: [50][5540/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 2.2139 (2.1776)	Prec@1 44.531 (45.006)	Prec@5 74.219 (75.616)
Epoch: [50][5550/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 1.8812 (2.1777)	Prec@1 53.906 (45.004)	Prec@5 82.031 (75.613)
Epoch: [50][5560/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 1.9489 (2.1777)	Prec@1 44.531 (45.004)	Prec@5 80.469 (75.614)
Epoch: [50][5570/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 2.2376 (2.1778)	Prec@1 42.969 (44.998)	Prec@5 74.219 (75.613)
Epoch: [50][5580/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 2.2332 (2.1779)	Prec@1 42.188 (44.993)	Prec@5 74.219 (75.611)
Epoch: [50][5590/14090]	Time 0.727 (0.767)	Data 0.001 (0.002)	Loss 2.3726 (2.1780)	Prec@1 39.844 (44.994)	Prec@5 71.094 (75.611)
Epoch: [50][5600/14090]	Time 0.881 (0.767)	Data 0.001 (0.002)	Loss 2.1170 (2.1781)	Prec@1 45.312 (44.991)	Prec@5 76.562 (75.607)
Epoch: [50][5610/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 1.8371 (2.1781)	Prec@1 59.375 (44.988)	Prec@5 82.031 (75.606)
Epoch: [50][5620/14090]	Time 0.773 (0.767)	Data 0.001 (0.002)	Loss 2.3594 (2.1782)	Prec@1 46.094 (44.987)	Prec@5 69.531 (75.604)
Epoch: [50][5630/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 2.2756 (2.1782)	Prec@1 38.281 (44.983)	Prec@5 72.656 (75.601)
Epoch: [50][5640/14090]	Time 0.757 (0.767)	Data 0.002 (0.002)	Loss 2.1563 (2.1783)	Prec@1 42.969 (44.979)	Prec@5 76.562 (75.599)
Epoch: [50][5650/14090]	Time 0.762 (0.767)	Data 0.001 (0.002)	Loss 2.2574 (2.1783)	Prec@1 44.531 (44.977)	Prec@5 78.906 (75.600)
Epoch: [50][5660/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 2.2462 (2.1783)	Prec@1 39.844 (44.978)	Prec@5 75.000 (75.601)
Epoch: [50][5670/14090]	Time 0.868 (0.767)	Data 0.001 (0.002)	Loss 1.9833 (2.1783)	Prec@1 49.219 (44.976)	Prec@5 80.469 (75.600)
Epoch: [50][5680/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 2.4433 (2.1783)	Prec@1 39.062 (44.975)	Prec@5 69.531 (75.600)
Epoch: [50][5690/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 2.5036 (2.1783)	Prec@1 41.406 (44.974)	Prec@5 75.000 (75.601)
Epoch: [50][5700/14090]	Time 0.721 (0.767)	Data 0.001 (0.002)	Loss 2.0827 (2.1784)	Prec@1 52.344 (44.974)	Prec@5 78.906 (75.601)
Epoch: [50][5710/14090]	Time 0.774 (0.767)	Data 0.001 (0.002)	Loss 2.3796 (2.1785)	Prec@1 35.156 (44.967)	Prec@5 73.438 (75.599)
Epoch: [50][5720/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 2.0771 (2.1784)	Prec@1 49.219 (44.971)	Prec@5 78.906 (75.601)
Epoch: [50][5730/14090]	Time 0.774 (0.767)	Data 0.001 (0.002)	Loss 1.9347 (2.1784)	Prec@1 50.781 (44.973)	Prec@5 80.469 (75.600)
Epoch: [50][5740/14090]	Time 0.876 (0.767)	Data 0.001 (0.002)	Loss 2.2128 (2.1784)	Prec@1 46.875 (44.970)	Prec@5 75.781 (75.602)
Epoch: [50][5750/14090]	Time 0.763 (0.767)	Data 0.001 (0.002)	Loss 2.0060 (2.1784)	Prec@1 50.781 (44.969)	Prec@5 79.688 (75.604)
Epoch: [50][5760/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 2.2453 (2.1784)	Prec@1 46.094 (44.968)	Prec@5 71.094 (75.604)
Epoch: [50][5770/14090]	Time 0.746 (0.767)	Data 0.002 (0.002)	Loss 2.0361 (2.1785)	Prec@1 53.125 (44.966)	Prec@5 78.125 (75.604)
Epoch: [50][5780/14090]	Time 0.726 (0.767)	Data 0.001 (0.002)	Loss 1.8942 (2.1783)	Prec@1 53.906 (44.973)	Prec@5 77.344 (75.608)
Epoch: [50][5790/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 1.9565 (2.1783)	Prec@1 45.312 (44.974)	Prec@5 82.812 (75.608)
Epoch: [50][5800/14090]	Time 0.722 (0.767)	Data 0.001 (0.002)	Loss 2.0624 (2.1781)	Prec@1 47.656 (44.975)	Prec@5 78.906 (75.610)
Epoch: [50][5810/14090]	Time 0.862 (0.767)	Data 0.001 (0.002)	Loss 1.7798 (2.1781)	Prec@1 54.688 (44.975)	Prec@5 85.938 (75.611)
Epoch: [50][5820/14090]	Time 0.762 (0.767)	Data 0.001 (0.002)	Loss 2.0628 (2.1781)	Prec@1 46.875 (44.976)	Prec@5 75.000 (75.610)
Epoch: [50][5830/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 2.0600 (2.1780)	Prec@1 45.312 (44.976)	Prec@5 73.438 (75.611)
Epoch: [50][5840/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 1.9302 (2.1780)	Prec@1 54.688 (44.979)	Prec@5 84.375 (75.610)
Epoch: [50][5850/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 2.0036 (2.1781)	Prec@1 50.781 (44.981)	Prec@5 75.000 (75.608)
Epoch: [50][5860/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 2.3102 (2.1781)	Prec@1 41.406 (44.979)	Prec@5 73.438 (75.607)
Epoch: [50][5870/14090]	Time 0.757 (0.767)	Data 0.001 (0.002)	Loss 2.4790 (2.1782)	Prec@1 39.844 (44.976)	Prec@5 68.750 (75.605)
Epoch: [50][5880/14090]	Time 0.908 (0.767)	Data 0.001 (0.002)	Loss 2.0739 (2.1782)	Prec@1 45.312 (44.975)	Prec@5 75.781 (75.604)
Epoch: [50][5890/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 2.3484 (2.1782)	Prec@1 36.719 (44.976)	Prec@5 71.094 (75.604)
Epoch: [50][5900/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 2.2664 (2.1783)	Prec@1 43.750 (44.975)	Prec@5 75.781 (75.604)
Epoch: [50][5910/14090]	Time 0.791 (0.767)	Data 0.001 (0.002)	Loss 2.1256 (2.1782)	Prec@1 43.750 (44.979)	Prec@5 72.656 (75.605)
Epoch: [50][5920/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 2.2917 (2.1783)	Prec@1 38.281 (44.976)	Prec@5 75.000 (75.604)
Epoch: [50][5930/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 1.9476 (2.1783)	Prec@1 49.219 (44.977)	Prec@5 81.250 (75.605)
Epoch: [50][5940/14090]	Time 0.767 (0.767)	Data 0.001 (0.002)	Loss 2.1410 (2.1782)	Prec@1 45.312 (44.977)	Prec@5 78.125 (75.604)
Epoch: [50][5950/14090]	Time 0.841 (0.767)	Data 0.001 (0.002)	Loss 2.0897 (2.1782)	Prec@1 41.406 (44.977)	Prec@5 78.125 (75.604)
Epoch: [50][5960/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.0927 (2.1784)	Prec@1 50.000 (44.978)	Prec@5 75.781 (75.600)
Epoch: [50][5970/14090]	Time 0.731 (0.767)	Data 0.001 (0.002)	Loss 2.1654 (2.1784)	Prec@1 51.562 (44.980)	Prec@5 71.875 (75.599)
Epoch: [50][5980/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 2.4427 (2.1784)	Prec@1 39.844 (44.983)	Prec@5 73.438 (75.601)
Epoch: [50][5990/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 1.9701 (2.1784)	Prec@1 47.656 (44.981)	Prec@5 79.688 (75.598)
Epoch: [50][6000/14090]	Time 0.760 (0.767)	Data 0.001 (0.002)	Loss 2.1171 (2.1784)	Prec@1 45.312 (44.981)	Prec@5 76.562 (75.598)
Epoch: [50][6010/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 2.3656 (2.1786)	Prec@1 43.750 (44.981)	Prec@5 76.562 (75.595)
Epoch: [50][6020/14090]	Time 0.865 (0.767)	Data 0.001 (0.002)	Loss 2.3385 (2.1786)	Prec@1 43.750 (44.981)	Prec@5 73.438 (75.595)
Epoch: [50][6030/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 1.8096 (2.1787)	Prec@1 48.438 (44.976)	Prec@5 86.719 (75.596)
Epoch: [50][6040/14090]	Time 0.732 (0.767)	Data 0.004 (0.002)	Loss 2.0685 (2.1787)	Prec@1 42.188 (44.976)	Prec@5 75.000 (75.594)
Epoch: [50][6050/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 2.2096 (2.1787)	Prec@1 44.531 (44.978)	Prec@5 73.438 (75.594)
Epoch: [50][6060/14090]	Time 0.777 (0.767)	Data 0.001 (0.002)	Loss 2.4562 (2.1789)	Prec@1 33.594 (44.975)	Prec@5 77.344 (75.592)
Epoch: [50][6070/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 2.1045 (2.1789)	Prec@1 48.438 (44.976)	Prec@5 79.688 (75.590)
Epoch: [50][6080/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 2.2616 (2.1790)	Prec@1 47.656 (44.974)	Prec@5 72.656 (75.588)
Epoch: [50][6090/14090]	Time 0.859 (0.767)	Data 0.001 (0.002)	Loss 2.2281 (2.1790)	Prec@1 46.875 (44.973)	Prec@5 79.688 (75.588)
Epoch: [50][6100/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 1.7977 (2.1788)	Prec@1 53.906 (44.974)	Prec@5 83.594 (75.591)
Epoch: [50][6110/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 2.3302 (2.1789)	Prec@1 42.969 (44.974)	Prec@5 71.094 (75.592)
Epoch: [50][6120/14090]	Time 0.763 (0.767)	Data 0.001 (0.002)	Loss 2.2550 (2.1790)	Prec@1 42.969 (44.971)	Prec@5 74.219 (75.588)
Epoch: [50][6130/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 2.5754 (2.1793)	Prec@1 42.188 (44.966)	Prec@5 70.312 (75.585)
Epoch: [50][6140/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 2.2129 (2.1794)	Prec@1 44.531 (44.963)	Prec@5 74.219 (75.581)
Epoch: [50][6150/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 2.1779 (2.1794)	Prec@1 45.312 (44.962)	Prec@5 74.219 (75.582)
Epoch: [50][6160/14090]	Time 1.029 (0.767)	Data 0.001 (0.002)	Loss 2.1210 (2.1793)	Prec@1 43.750 (44.962)	Prec@5 76.562 (75.584)
Epoch: [50][6170/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 2.2861 (2.1793)	Prec@1 45.312 (44.962)	Prec@5 69.531 (75.583)
Epoch: [50][6180/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 1.8936 (2.1792)	Prec@1 48.438 (44.960)	Prec@5 81.250 (75.586)
Epoch: [50][6190/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 2.2009 (2.1792)	Prec@1 42.188 (44.958)	Prec@5 75.000 (75.584)
Epoch: [50][6200/14090]	Time 0.766 (0.767)	Data 0.001 (0.002)	Loss 2.1387 (2.1791)	Prec@1 44.531 (44.962)	Prec@5 71.875 (75.584)
Epoch: [50][6210/14090]	Time 0.779 (0.767)	Data 0.001 (0.002)	Loss 2.0558 (2.1790)	Prec@1 49.219 (44.963)	Prec@5 77.344 (75.587)
Epoch: [50][6220/14090]	Time 0.722 (0.767)	Data 0.001 (0.002)	Loss 1.9512 (2.1790)	Prec@1 46.094 (44.962)	Prec@5 81.250 (75.588)
Epoch: [50][6230/14090]	Time 0.940 (0.767)	Data 0.001 (0.002)	Loss 1.9135 (2.1789)	Prec@1 51.562 (44.964)	Prec@5 81.250 (75.589)
Epoch: [50][6240/14090]	Time 0.722 (0.767)	Data 0.001 (0.002)	Loss 2.2767 (2.1789)	Prec@1 43.750 (44.965)	Prec@5 71.875 (75.589)
Epoch: [50][6250/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 2.0164 (2.1788)	Prec@1 50.000 (44.967)	Prec@5 81.250 (75.591)
Epoch: [50][6260/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 2.1466 (2.1788)	Prec@1 45.312 (44.966)	Prec@5 75.781 (75.593)
Epoch: [50][6270/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 2.1167 (2.1787)	Prec@1 42.969 (44.966)	Prec@5 77.344 (75.596)
Epoch: [50][6280/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.1242 (2.1787)	Prec@1 46.094 (44.967)	Prec@5 75.000 (75.596)
Epoch: [50][6290/14090]	Time 0.768 (0.767)	Data 0.001 (0.002)	Loss 2.3266 (2.1786)	Prec@1 44.531 (44.970)	Prec@5 71.875 (75.597)
Epoch: [50][6300/14090]	Time 1.010 (0.767)	Data 0.001 (0.002)	Loss 2.1076 (2.1786)	Prec@1 47.656 (44.969)	Prec@5 73.438 (75.596)
Epoch: [50][6310/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 2.2525 (2.1786)	Prec@1 42.969 (44.968)	Prec@5 74.219 (75.595)
Epoch: [50][6320/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.1308 (2.1786)	Prec@1 46.875 (44.968)	Prec@5 73.438 (75.594)
Epoch: [50][6330/14090]	Time 0.727 (0.767)	Data 0.001 (0.002)	Loss 2.4187 (2.1788)	Prec@1 39.062 (44.964)	Prec@5 71.094 (75.592)
Epoch: [50][6340/14090]	Time 0.749 (0.767)	Data 0.002 (0.002)	Loss 2.1537 (2.1787)	Prec@1 50.781 (44.964)	Prec@5 75.000 (75.593)
Epoch: [50][6350/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.2351 (2.1787)	Prec@1 46.094 (44.966)	Prec@5 75.000 (75.594)
Epoch: [50][6360/14090]	Time 0.761 (0.767)	Data 0.001 (0.002)	Loss 2.1971 (2.1789)	Prec@1 45.312 (44.962)	Prec@5 73.438 (75.591)
Epoch: [50][6370/14090]	Time 0.907 (0.767)	Data 0.001 (0.002)	Loss 2.1996 (2.1790)	Prec@1 44.531 (44.960)	Prec@5 69.531 (75.589)
Epoch: [50][6380/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 2.1412 (2.1789)	Prec@1 49.219 (44.961)	Prec@5 78.906 (75.591)
Epoch: [50][6390/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 2.1570 (2.1789)	Prec@1 46.875 (44.959)	Prec@5 74.219 (75.590)
Epoch: [50][6400/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 2.2650 (2.1789)	Prec@1 41.406 (44.959)	Prec@5 72.656 (75.590)
Epoch: [50][6410/14090]	Time 0.762 (0.767)	Data 0.002 (0.002)	Loss 2.2332 (2.1789)	Prec@1 45.312 (44.960)	Prec@5 69.531 (75.589)
Epoch: [50][6420/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 2.2897 (2.1790)	Prec@1 38.281 (44.955)	Prec@5 78.906 (75.587)
Epoch: [50][6430/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 2.2190 (2.1789)	Prec@1 42.969 (44.954)	Prec@5 75.000 (75.588)
Epoch: [50][6440/14090]	Time 0.949 (0.767)	Data 0.001 (0.002)	Loss 2.3817 (2.1790)	Prec@1 40.625 (44.952)	Prec@5 75.000 (75.586)
Epoch: [50][6450/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 1.9039 (2.1790)	Prec@1 47.656 (44.951)	Prec@5 77.344 (75.586)
Epoch: [50][6460/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.2155 (2.1791)	Prec@1 45.312 (44.949)	Prec@5 74.219 (75.585)
Epoch: [50][6470/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 2.2943 (2.1791)	Prec@1 44.531 (44.950)	Prec@5 70.312 (75.584)
Epoch: [50][6480/14090]	Time 0.737 (0.767)	Data 0.002 (0.002)	Loss 2.2300 (2.1792)	Prec@1 46.875 (44.950)	Prec@5 72.656 (75.582)
Epoch: [50][6490/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 2.0509 (2.1792)	Prec@1 49.219 (44.948)	Prec@5 82.812 (75.581)
Epoch: [50][6500/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 2.3796 (2.1792)	Prec@1 43.750 (44.951)	Prec@5 70.312 (75.582)
Epoch: [50][6510/14090]	Time 0.862 (0.767)	Data 0.001 (0.002)	Loss 2.0664 (2.1793)	Prec@1 46.094 (44.950)	Prec@5 78.125 (75.579)
Epoch: [50][6520/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 2.0993 (2.1793)	Prec@1 43.750 (44.945)	Prec@5 76.562 (75.579)
Epoch: [50][6530/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.5274 (2.1792)	Prec@1 38.281 (44.946)	Prec@5 71.094 (75.579)
Epoch: [50][6540/14090]	Time 0.765 (0.767)	Data 0.001 (0.002)	Loss 2.2757 (2.1793)	Prec@1 39.062 (44.946)	Prec@5 76.562 (75.578)
Epoch: [50][6550/14090]	Time 0.727 (0.767)	Data 0.001 (0.002)	Loss 2.1236 (2.1792)	Prec@1 44.531 (44.947)	Prec@5 75.000 (75.577)
Epoch: [50][6560/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 2.2556 (2.1791)	Prec@1 45.312 (44.948)	Prec@5 75.781 (75.580)
Epoch: [50][6570/14090]	Time 0.762 (0.767)	Data 0.001 (0.002)	Loss 2.4322 (2.1792)	Prec@1 42.188 (44.945)	Prec@5 71.875 (75.579)
Epoch: [50][6580/14090]	Time 0.980 (0.767)	Data 0.001 (0.002)	Loss 1.9331 (2.1791)	Prec@1 48.438 (44.949)	Prec@5 82.031 (75.582)
Epoch: [50][6590/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 2.1102 (2.1791)	Prec@1 42.188 (44.946)	Prec@5 75.000 (75.583)
Epoch: [50][6600/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 2.0388 (2.1792)	Prec@1 43.750 (44.945)	Prec@5 75.000 (75.580)
Epoch: [50][6610/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 2.0772 (2.1792)	Prec@1 44.531 (44.945)	Prec@5 76.562 (75.580)
Epoch: [50][6620/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 2.1177 (2.1793)	Prec@1 44.531 (44.940)	Prec@5 76.562 (75.577)
Epoch: [50][6630/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 1.8203 (2.1792)	Prec@1 53.125 (44.941)	Prec@5 83.594 (75.576)
Epoch: [50][6640/14090]	Time 0.776 (0.767)	Data 0.001 (0.002)	Loss 2.1566 (2.1792)	Prec@1 39.844 (44.940)	Prec@5 75.000 (75.577)
Epoch: [50][6650/14090]	Time 0.895 (0.767)	Data 0.002 (0.002)	Loss 2.1039 (2.1793)	Prec@1 47.656 (44.940)	Prec@5 73.438 (75.575)
Epoch: [50][6660/14090]	Time 0.767 (0.767)	Data 0.001 (0.002)	Loss 1.8039 (2.1792)	Prec@1 53.125 (44.942)	Prec@5 82.031 (75.577)
Epoch: [50][6670/14090]	Time 0.727 (0.767)	Data 0.001 (0.002)	Loss 2.1356 (2.1792)	Prec@1 47.656 (44.943)	Prec@5 76.562 (75.576)
Epoch: [50][6680/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 2.0018 (2.1793)	Prec@1 49.219 (44.943)	Prec@5 72.656 (75.572)
Epoch: [50][6690/14090]	Time 0.778 (0.767)	Data 0.001 (0.002)	Loss 2.3665 (2.1793)	Prec@1 39.844 (44.943)	Prec@5 71.875 (75.570)
Epoch: [50][6700/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 1.9201 (2.1792)	Prec@1 48.438 (44.942)	Prec@5 81.250 (75.570)
Epoch: [50][6710/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.3039 (2.1793)	Prec@1 40.625 (44.942)	Prec@5 72.656 (75.568)
Epoch: [50][6720/14090]	Time 0.851 (0.767)	Data 0.001 (0.002)	Loss 2.0074 (2.1793)	Prec@1 42.969 (44.939)	Prec@5 81.250 (75.567)
Epoch: [50][6730/14090]	Time 0.776 (0.767)	Data 0.001 (0.002)	Loss 2.0362 (2.1793)	Prec@1 49.219 (44.938)	Prec@5 82.031 (75.567)
Epoch: [50][6740/14090]	Time 0.786 (0.767)	Data 0.001 (0.002)	Loss 2.2726 (2.1793)	Prec@1 39.844 (44.939)	Prec@5 72.656 (75.568)
Epoch: [50][6750/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.3892 (2.1792)	Prec@1 41.406 (44.940)	Prec@5 68.750 (75.570)
Epoch: [50][6760/14090]	Time 0.767 (0.767)	Data 0.001 (0.002)	Loss 2.4243 (2.1792)	Prec@1 37.500 (44.940)	Prec@5 71.094 (75.571)
Epoch: [50][6770/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 2.1040 (2.1792)	Prec@1 50.000 (44.940)	Prec@5 80.469 (75.574)
Epoch: [50][6780/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 2.1428 (2.1792)	Prec@1 42.188 (44.938)	Prec@5 75.781 (75.573)
Epoch: [50][6790/14090]	Time 0.872 (0.767)	Data 0.001 (0.002)	Loss 2.1338 (2.1793)	Prec@1 43.750 (44.937)	Prec@5 78.125 (75.572)
Epoch: [50][6800/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 2.1866 (2.1794)	Prec@1 42.188 (44.936)	Prec@5 74.219 (75.571)
Epoch: [50][6810/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 2.0392 (2.1793)	Prec@1 50.781 (44.936)	Prec@5 81.250 (75.574)
Epoch: [50][6820/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 1.9416 (2.1793)	Prec@1 46.094 (44.936)	Prec@5 78.906 (75.575)
Epoch: [50][6830/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 2.2052 (2.1792)	Prec@1 39.062 (44.938)	Prec@5 71.094 (75.577)
Epoch: [50][6840/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 2.1176 (2.1793)	Prec@1 47.656 (44.938)	Prec@5 82.031 (75.576)
Epoch: [50][6850/14090]	Time 0.752 (0.767)	Data 0.002 (0.002)	Loss 2.1185 (2.1792)	Prec@1 46.094 (44.939)	Prec@5 77.344 (75.577)
Epoch: [50][6860/14090]	Time 0.865 (0.767)	Data 0.001 (0.002)	Loss 2.0690 (2.1791)	Prec@1 50.000 (44.941)	Prec@5 75.000 (75.578)
Epoch: [50][6870/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 2.1379 (2.1792)	Prec@1 49.219 (44.940)	Prec@5 77.344 (75.575)
Epoch: [50][6880/14090]	Time 0.777 (0.767)	Data 0.001 (0.002)	Loss 2.1027 (2.1793)	Prec@1 42.188 (44.937)	Prec@5 76.562 (75.574)
Epoch: [50][6890/14090]	Time 0.768 (0.767)	Data 0.001 (0.002)	Loss 1.9372 (2.1792)	Prec@1 55.469 (44.941)	Prec@5 78.906 (75.575)
Epoch: [50][6900/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 1.9992 (2.1792)	Prec@1 49.219 (44.944)	Prec@5 78.125 (75.576)
Epoch: [50][6910/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 2.0684 (2.1791)	Prec@1 48.438 (44.945)	Prec@5 77.344 (75.578)
Epoch: [50][6920/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 2.3329 (2.1792)	Prec@1 43.750 (44.941)	Prec@5 71.094 (75.577)
Epoch: [50][6930/14090]	Time 0.931 (0.767)	Data 0.001 (0.002)	Loss 2.2706 (2.1792)	Prec@1 39.844 (44.937)	Prec@5 68.750 (75.576)
Epoch: [50][6940/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 2.4502 (2.1792)	Prec@1 43.750 (44.939)	Prec@5 75.000 (75.577)
Epoch: [50][6950/14090]	Time 0.724 (0.767)	Data 0.001 (0.002)	Loss 2.1151 (2.1792)	Prec@1 49.219 (44.939)	Prec@5 74.219 (75.576)
Epoch: [50][6960/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 2.0405 (2.1792)	Prec@1 50.781 (44.939)	Prec@5 75.781 (75.575)
Epoch: [50][6970/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 2.3213 (2.1793)	Prec@1 39.062 (44.936)	Prec@5 75.781 (75.573)
Epoch: [50][6980/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 2.2549 (2.1793)	Prec@1 45.312 (44.936)	Prec@5 72.656 (75.574)
Epoch: [50][6990/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 1.9619 (2.1793)	Prec@1 46.875 (44.937)	Prec@5 78.906 (75.573)
Epoch: [50][7000/14090]	Time 0.922 (0.767)	Data 0.002 (0.002)	Loss 2.3880 (2.1794)	Prec@1 41.406 (44.936)	Prec@5 73.438 (75.574)
Epoch: [50][7010/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 2.2719 (2.1793)	Prec@1 46.094 (44.937)	Prec@5 76.562 (75.576)
Epoch: [50][7020/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 2.3321 (2.1795)	Prec@1 34.375 (44.933)	Prec@5 73.438 (75.573)
Epoch: [50][7030/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 2.0747 (2.1795)	Prec@1 49.219 (44.935)	Prec@5 76.562 (75.571)
Epoch: [50][7040/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 2.2650 (2.1794)	Prec@1 39.844 (44.935)	Prec@5 72.656 (75.572)
Epoch: [50][7050/14090]	Time 0.731 (0.767)	Data 0.001 (0.002)	Loss 2.4016 (2.1796)	Prec@1 37.500 (44.933)	Prec@5 69.531 (75.568)
Epoch: [50][7060/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.1731 (2.1796)	Prec@1 43.750 (44.931)	Prec@5 73.438 (75.568)
Epoch: [50][7070/14090]	Time 0.847 (0.767)	Data 0.001 (0.002)	Loss 2.2673 (2.1795)	Prec@1 45.312 (44.932)	Prec@5 74.219 (75.570)
Epoch: [50][7080/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 2.1817 (2.1796)	Prec@1 44.531 (44.929)	Prec@5 75.000 (75.570)
Epoch: [50][7090/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 1.9567 (2.1795)	Prec@1 46.094 (44.930)	Prec@5 80.469 (75.570)
Epoch: [50][7100/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 2.0984 (2.1795)	Prec@1 44.531 (44.931)	Prec@5 79.688 (75.572)
Epoch: [50][7110/14090]	Time 0.779 (0.767)	Data 0.001 (0.002)	Loss 2.1399 (2.1795)	Prec@1 46.875 (44.930)	Prec@5 76.562 (75.572)
Epoch: [50][7120/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 1.9492 (2.1795)	Prec@1 50.781 (44.933)	Prec@5 79.688 (75.573)
Epoch: [50][7130/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 2.2724 (2.1795)	Prec@1 44.531 (44.929)	Prec@5 75.781 (75.573)
Epoch: [50][7140/14090]	Time 0.878 (0.767)	Data 0.001 (0.002)	Loss 2.1138 (2.1795)	Prec@1 43.750 (44.932)	Prec@5 73.438 (75.573)
Epoch: [50][7150/14090]	Time 0.768 (0.767)	Data 0.001 (0.002)	Loss 2.1776 (2.1795)	Prec@1 44.531 (44.934)	Prec@5 74.219 (75.571)
Epoch: [50][7160/14090]	Time 0.742 (0.767)	Data 0.002 (0.002)	Loss 2.2590 (2.1795)	Prec@1 45.312 (44.935)	Prec@5 71.094 (75.571)
Epoch: [50][7170/14090]	Time 0.762 (0.767)	Data 0.001 (0.002)	Loss 2.2372 (2.1795)	Prec@1 40.625 (44.932)	Prec@5 75.781 (75.570)
Epoch: [50][7180/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 2.0885 (2.1793)	Prec@1 51.562 (44.935)	Prec@5 77.344 (75.572)
Epoch: [50][7190/14090]	Time 0.727 (0.767)	Data 0.001 (0.002)	Loss 2.0756 (2.1793)	Prec@1 50.000 (44.934)	Prec@5 79.688 (75.573)
Epoch: [50][7200/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 1.9526 (2.1792)	Prec@1 45.312 (44.936)	Prec@5 74.219 (75.574)
Epoch: [50][7210/14090]	Time 0.870 (0.767)	Data 0.001 (0.002)	Loss 2.2804 (2.1791)	Prec@1 46.094 (44.937)	Prec@5 75.000 (75.575)
Epoch: [50][7220/14090]	Time 0.773 (0.767)	Data 0.001 (0.002)	Loss 2.1665 (2.1791)	Prec@1 44.531 (44.936)	Prec@5 75.000 (75.574)
Epoch: [50][7230/14090]	Time 0.728 (0.767)	Data 0.001 (0.002)	Loss 2.2192 (2.1791)	Prec@1 42.188 (44.935)	Prec@5 75.781 (75.572)
Epoch: [50][7240/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 1.7390 (2.1792)	Prec@1 50.781 (44.934)	Prec@5 81.250 (75.572)
Epoch: [50][7250/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 2.0843 (2.1792)	Prec@1 41.406 (44.935)	Prec@5 82.031 (75.571)
Epoch: [50][7260/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 2.2348 (2.1792)	Prec@1 37.500 (44.934)	Prec@5 75.000 (75.572)
Epoch: [50][7270/14090]	Time 0.726 (0.767)	Data 0.001 (0.002)	Loss 2.0996 (2.1791)	Prec@1 44.531 (44.936)	Prec@5 76.562 (75.574)
Epoch: [50][7280/14090]	Time 0.890 (0.767)	Data 0.001 (0.002)	Loss 2.2982 (2.1792)	Prec@1 46.094 (44.936)	Prec@5 69.531 (75.572)
Epoch: [50][7290/14090]	Time 0.725 (0.767)	Data 0.001 (0.002)	Loss 2.0674 (2.1792)	Prec@1 46.875 (44.935)	Prec@5 80.469 (75.573)
Epoch: [50][7300/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 1.8047 (2.1793)	Prec@1 57.031 (44.936)	Prec@5 82.031 (75.571)
Epoch: [50][7310/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 2.5715 (2.1794)	Prec@1 39.844 (44.933)	Prec@5 67.188 (75.569)
Epoch: [50][7320/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 2.1702 (2.1794)	Prec@1 44.531 (44.931)	Prec@5 72.656 (75.568)
Epoch: [50][7330/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.3235 (2.1796)	Prec@1 42.969 (44.930)	Prec@5 74.219 (75.567)
Epoch: [50][7340/14090]	Time 0.727 (0.767)	Data 0.001 (0.002)	Loss 1.9912 (2.1795)	Prec@1 48.438 (44.933)	Prec@5 79.688 (75.568)
Epoch: [50][7350/14090]	Time 0.848 (0.767)	Data 0.001 (0.002)	Loss 1.6303 (2.1793)	Prec@1 57.812 (44.938)	Prec@5 87.500 (75.571)
Epoch: [50][7360/14090]	Time 0.764 (0.767)	Data 0.001 (0.002)	Loss 2.0492 (2.1794)	Prec@1 46.875 (44.937)	Prec@5 76.562 (75.568)
Epoch: [50][7370/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 2.2717 (2.1793)	Prec@1 42.188 (44.937)	Prec@5 73.438 (75.569)
Epoch: [50][7380/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 2.2930 (2.1793)	Prec@1 40.625 (44.939)	Prec@5 74.219 (75.572)
Epoch: [50][7390/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 2.0757 (2.1794)	Prec@1 43.750 (44.936)	Prec@5 76.562 (75.571)
Epoch: [50][7400/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 2.4436 (2.1795)	Prec@1 38.281 (44.933)	Prec@5 68.750 (75.568)
Epoch: [50][7410/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 2.0991 (2.1795)	Prec@1 45.312 (44.932)	Prec@5 80.469 (75.567)
Epoch: [50][7420/14090]	Time 0.963 (0.767)	Data 0.001 (0.002)	Loss 2.0497 (2.1795)	Prec@1 50.781 (44.935)	Prec@5 79.688 (75.566)
Epoch: [50][7430/14090]	Time 0.767 (0.767)	Data 0.001 (0.002)	Loss 2.0954 (2.1795)	Prec@1 46.094 (44.938)	Prec@5 78.906 (75.566)
Epoch: [50][7440/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 2.3317 (2.1794)	Prec@1 40.625 (44.940)	Prec@5 71.094 (75.567)
Epoch: [50][7450/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 2.0927 (2.1794)	Prec@1 47.656 (44.940)	Prec@5 75.781 (75.569)
Epoch: [50][7460/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 2.4374 (2.1794)	Prec@1 39.062 (44.939)	Prec@5 70.312 (75.571)
Epoch: [50][7470/14090]	Time 0.757 (0.767)	Data 0.001 (0.002)	Loss 2.1689 (2.1793)	Prec@1 49.219 (44.944)	Prec@5 75.000 (75.572)
Epoch: [50][7480/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 2.0359 (2.1793)	Prec@1 50.000 (44.943)	Prec@5 78.125 (75.573)
Epoch: [50][7490/14090]	Time 0.861 (0.767)	Data 0.001 (0.002)	Loss 2.0019 (2.1791)	Prec@1 46.875 (44.947)	Prec@5 78.125 (75.574)
Epoch: [50][7500/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.1195 (2.1792)	Prec@1 47.656 (44.947)	Prec@5 78.906 (75.573)
Epoch: [50][7510/14090]	Time 0.726 (0.767)	Data 0.001 (0.002)	Loss 2.2041 (2.1792)	Prec@1 42.969 (44.948)	Prec@5 72.656 (75.574)
Epoch: [50][7520/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 2.0447 (2.1792)	Prec@1 52.344 (44.947)	Prec@5 78.906 (75.573)
Epoch: [50][7530/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 2.3588 (2.1792)	Prec@1 42.188 (44.945)	Prec@5 75.781 (75.574)
Epoch: [50][7540/14090]	Time 0.766 (0.767)	Data 0.001 (0.002)	Loss 2.1897 (2.1792)	Prec@1 47.656 (44.946)	Prec@5 75.781 (75.575)
Epoch: [50][7550/14090]	Time 0.728 (0.767)	Data 0.001 (0.002)	Loss 2.4214 (2.1793)	Prec@1 35.938 (44.944)	Prec@5 72.656 (75.577)
Epoch: [50][7560/14090]	Time 0.951 (0.767)	Data 0.001 (0.002)	Loss 2.1307 (2.1793)	Prec@1 47.656 (44.944)	Prec@5 75.781 (75.576)
Epoch: [50][7570/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 2.2655 (2.1794)	Prec@1 40.625 (44.941)	Prec@5 75.000 (75.577)
Epoch: [50][7580/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 2.2303 (2.1793)	Prec@1 41.406 (44.942)	Prec@5 73.438 (75.577)
Epoch: [50][7590/14090]	Time 0.762 (0.767)	Data 0.001 (0.002)	Loss 2.1828 (2.1794)	Prec@1 43.750 (44.940)	Prec@5 77.344 (75.576)
Epoch: [50][7600/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.2703 (2.1794)	Prec@1 43.750 (44.941)	Prec@5 75.000 (75.575)
Epoch: [50][7610/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 2.2964 (2.1795)	Prec@1 41.406 (44.940)	Prec@5 75.781 (75.572)
Epoch: [50][7620/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 2.2591 (2.1794)	Prec@1 43.750 (44.943)	Prec@5 72.656 (75.573)
Epoch: [50][7630/14090]	Time 0.853 (0.767)	Data 0.001 (0.002)	Loss 1.9004 (2.1792)	Prec@1 50.000 (44.947)	Prec@5 80.469 (75.576)
Epoch: [50][7640/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 2.1898 (2.1791)	Prec@1 37.500 (44.947)	Prec@5 75.781 (75.579)
Epoch: [50][7650/14090]	Time 0.743 (0.767)	Data 0.002 (0.002)	Loss 2.2670 (2.1792)	Prec@1 48.438 (44.948)	Prec@5 70.312 (75.577)
Epoch: [50][7660/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 1.9850 (2.1792)	Prec@1 50.000 (44.948)	Prec@5 73.438 (75.576)
Epoch: [50][7670/14090]	Time 0.775 (0.767)	Data 0.001 (0.002)	Loss 2.0259 (2.1791)	Prec@1 51.562 (44.950)	Prec@5 82.812 (75.579)
Epoch: [50][7680/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 2.4452 (2.1792)	Prec@1 35.938 (44.949)	Prec@5 72.656 (75.580)
Epoch: [50][7690/14090]	Time 0.729 (0.767)	Data 0.002 (0.002)	Loss 2.0818 (2.1792)	Prec@1 49.219 (44.948)	Prec@5 81.250 (75.581)
Epoch: [50][7700/14090]	Time 0.881 (0.767)	Data 0.001 (0.002)	Loss 1.7508 (2.1791)	Prec@1 57.812 (44.950)	Prec@5 83.594 (75.582)
Epoch: [50][7710/14090]	Time 0.724 (0.767)	Data 0.001 (0.002)	Loss 2.2088 (2.1791)	Prec@1 46.094 (44.948)	Prec@5 72.656 (75.580)
Epoch: [50][7720/14090]	Time 0.728 (0.767)	Data 0.001 (0.002)	Loss 2.4323 (2.1792)	Prec@1 41.406 (44.946)	Prec@5 75.000 (75.579)
Epoch: [50][7730/14090]	Time 0.723 (0.767)	Data 0.001 (0.002)	Loss 2.2136 (2.1791)	Prec@1 50.000 (44.946)	Prec@5 69.531 (75.581)
Epoch: [50][7740/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.3736 (2.1792)	Prec@1 39.844 (44.945)	Prec@5 70.312 (75.579)
Epoch: [50][7750/14090]	Time 0.774 (0.767)	Data 0.001 (0.002)	Loss 2.0787 (2.1791)	Prec@1 51.562 (44.948)	Prec@5 75.781 (75.578)
Epoch: [50][7760/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 2.2162 (2.1791)	Prec@1 42.188 (44.948)	Prec@5 78.125 (75.578)
Epoch: [50][7770/14090]	Time 0.854 (0.767)	Data 0.001 (0.002)	Loss 2.3372 (2.1792)	Prec@1 42.969 (44.947)	Prec@5 73.438 (75.576)
Epoch: [50][7780/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 2.0768 (2.1792)	Prec@1 48.438 (44.946)	Prec@5 76.562 (75.576)
Epoch: [50][7790/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 2.2511 (2.1793)	Prec@1 41.406 (44.944)	Prec@5 76.562 (75.576)
Epoch: [50][7800/14090]	Time 0.765 (0.767)	Data 0.001 (0.002)	Loss 1.8954 (2.1793)	Prec@1 50.781 (44.943)	Prec@5 82.812 (75.575)
Epoch: [50][7810/14090]	Time 0.781 (0.767)	Data 0.001 (0.002)	Loss 2.2274 (2.1793)	Prec@1 42.969 (44.942)	Prec@5 78.906 (75.574)
Epoch: [50][7820/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 2.2803 (2.1793)	Prec@1 39.062 (44.940)	Prec@5 77.344 (75.574)
Epoch: [50][7830/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 2.1748 (2.1794)	Prec@1 47.656 (44.939)	Prec@5 78.125 (75.574)
Epoch: [50][7840/14090]	Time 1.015 (0.767)	Data 0.001 (0.002)	Loss 2.2945 (2.1793)	Prec@1 44.531 (44.942)	Prec@5 73.438 (75.574)
Epoch: [50][7850/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 2.0152 (2.1793)	Prec@1 50.781 (44.941)	Prec@5 77.344 (75.573)
Epoch: [50][7860/14090]	Time 0.760 (0.767)	Data 0.001 (0.002)	Loss 1.9923 (2.1794)	Prec@1 46.094 (44.942)	Prec@5 81.250 (75.571)
Epoch: [50][7870/14090]	Time 0.725 (0.767)	Data 0.001 (0.002)	Loss 2.2039 (2.1794)	Prec@1 50.781 (44.942)	Prec@5 78.906 (75.570)
Epoch: [50][7880/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 2.1123 (2.1794)	Prec@1 49.219 (44.944)	Prec@5 78.906 (75.570)
Epoch: [50][7890/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 2.1847 (2.1794)	Prec@1 46.094 (44.943)	Prec@5 71.094 (75.570)
Epoch: [50][7900/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 2.3349 (2.1794)	Prec@1 41.406 (44.941)	Prec@5 73.438 (75.569)
Epoch: [50][7910/14090]	Time 0.861 (0.767)	Data 0.001 (0.002)	Loss 2.0595 (2.1796)	Prec@1 42.188 (44.937)	Prec@5 74.219 (75.565)
Epoch: [50][7920/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 2.4614 (2.1796)	Prec@1 45.312 (44.939)	Prec@5 69.531 (75.566)
Epoch: [50][7930/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 1.9677 (2.1795)	Prec@1 46.094 (44.940)	Prec@5 82.031 (75.568)
Epoch: [50][7940/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 2.4083 (2.1795)	Prec@1 44.531 (44.939)	Prec@5 71.094 (75.569)
Epoch: [50][7950/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 2.4609 (2.1796)	Prec@1 39.062 (44.939)	Prec@5 71.875 (75.568)
Epoch: [50][7960/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 2.1254 (2.1796)	Prec@1 46.875 (44.939)	Prec@5 74.219 (75.568)
Epoch: [50][7970/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 1.9542 (2.1796)	Prec@1 50.000 (44.937)	Prec@5 81.250 (75.567)
Epoch: [50][7980/14090]	Time 0.859 (0.767)	Data 0.001 (0.001)	Loss 2.1891 (2.1795)	Prec@1 49.219 (44.937)	Prec@5 75.000 (75.568)
Epoch: [50][7990/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 2.1774 (2.1796)	Prec@1 44.531 (44.936)	Prec@5 78.125 (75.568)
Epoch: [50][8000/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 2.4409 (2.1797)	Prec@1 40.625 (44.934)	Prec@5 67.969 (75.565)
Epoch: [50][8010/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 2.1579 (2.1798)	Prec@1 45.312 (44.933)	Prec@5 77.344 (75.563)
Epoch: [50][8020/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 1.9739 (2.1798)	Prec@1 53.125 (44.933)	Prec@5 79.688 (75.565)
Epoch: [50][8030/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 2.2630 (2.1799)	Prec@1 40.625 (44.931)	Prec@5 68.750 (75.565)
Epoch: [50][8040/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.4273 (2.1798)	Prec@1 36.719 (44.932)	Prec@5 73.438 (75.567)
Epoch: [50][8050/14090]	Time 0.871 (0.767)	Data 0.001 (0.001)	Loss 2.2057 (2.1798)	Prec@1 42.188 (44.930)	Prec@5 75.000 (75.567)
Epoch: [50][8060/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 2.1832 (2.1799)	Prec@1 44.531 (44.930)	Prec@5 75.781 (75.566)
Epoch: [50][8070/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 2.1995 (2.1799)	Prec@1 47.656 (44.929)	Prec@5 75.000 (75.566)
Epoch: [50][8080/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 2.2498 (2.1799)	Prec@1 40.625 (44.929)	Prec@5 75.781 (75.565)
Epoch: [50][8090/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 1.9049 (2.1799)	Prec@1 54.688 (44.930)	Prec@5 76.562 (75.566)
Epoch: [50][8100/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 2.1793 (2.1799)	Prec@1 36.719 (44.930)	Prec@5 80.469 (75.566)
Epoch: [50][8110/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 2.2572 (2.1799)	Prec@1 46.094 (44.930)	Prec@5 69.531 (75.566)
Epoch: [50][8120/14090]	Time 0.868 (0.767)	Data 0.001 (0.001)	Loss 2.0657 (2.1800)	Prec@1 46.875 (44.926)	Prec@5 74.219 (75.563)
Epoch: [50][8130/14090]	Time 0.763 (0.767)	Data 0.001 (0.001)	Loss 2.3812 (2.1801)	Prec@1 43.750 (44.924)	Prec@5 75.781 (75.562)
Epoch: [50][8140/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 2.1075 (2.1800)	Prec@1 43.750 (44.926)	Prec@5 82.031 (75.563)
Epoch: [50][8150/14090]	Time 0.763 (0.767)	Data 0.001 (0.001)	Loss 2.3506 (2.1801)	Prec@1 40.625 (44.925)	Prec@5 75.000 (75.565)
Epoch: [50][8160/14090]	Time 0.726 (0.767)	Data 0.001 (0.001)	Loss 2.2899 (2.1801)	Prec@1 41.406 (44.924)	Prec@5 72.656 (75.563)
Epoch: [50][8170/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.2578 (2.1801)	Prec@1 49.219 (44.927)	Prec@5 76.562 (75.563)
Epoch: [50][8180/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 2.3507 (2.1801)	Prec@1 42.969 (44.927)	Prec@5 75.000 (75.563)
Epoch: [50][8190/14090]	Time 0.858 (0.767)	Data 0.001 (0.001)	Loss 2.1762 (2.1801)	Prec@1 46.094 (44.926)	Prec@5 75.781 (75.564)
Epoch: [50][8200/14090]	Time 0.727 (0.767)	Data 0.001 (0.001)	Loss 1.9861 (2.1801)	Prec@1 47.656 (44.926)	Prec@5 82.031 (75.565)
Epoch: [50][8210/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 2.3129 (2.1801)	Prec@1 47.656 (44.928)	Prec@5 74.219 (75.566)
Epoch: [50][8220/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 2.2640 (2.1801)	Prec@1 52.344 (44.929)	Prec@5 71.094 (75.563)
Epoch: [50][8230/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 2.1320 (2.1801)	Prec@1 42.188 (44.927)	Prec@5 79.688 (75.563)
Epoch: [50][8240/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 1.9322 (2.1801)	Prec@1 55.469 (44.927)	Prec@5 78.125 (75.562)
Epoch: [50][8250/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 2.1031 (2.1800)	Prec@1 46.094 (44.926)	Prec@5 75.781 (75.565)
Epoch: [50][8260/14090]	Time 0.869 (0.767)	Data 0.001 (0.001)	Loss 2.0071 (2.1800)	Prec@1 53.125 (44.930)	Prec@5 78.906 (75.566)
Epoch: [50][8270/14090]	Time 0.773 (0.767)	Data 0.002 (0.001)	Loss 2.2546 (2.1800)	Prec@1 42.188 (44.930)	Prec@5 75.781 (75.567)
Epoch: [50][8280/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.0543 (2.1800)	Prec@1 47.656 (44.930)	Prec@5 77.344 (75.567)
Epoch: [50][8290/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 2.2955 (2.1799)	Prec@1 40.625 (44.930)	Prec@5 67.969 (75.567)
Epoch: [50][8300/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.1538 (2.1801)	Prec@1 45.312 (44.926)	Prec@5 75.781 (75.565)
Epoch: [50][8310/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.5318 (2.1801)	Prec@1 39.062 (44.927)	Prec@5 68.750 (75.563)
Epoch: [50][8320/14090]	Time 0.777 (0.767)	Data 0.001 (0.001)	Loss 2.5082 (2.1802)	Prec@1 35.156 (44.924)	Prec@5 69.531 (75.561)
Epoch: [50][8330/14090]	Time 0.852 (0.767)	Data 0.001 (0.001)	Loss 2.2464 (2.1803)	Prec@1 40.625 (44.925)	Prec@5 72.656 (75.561)
Epoch: [50][8340/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 2.0031 (2.1803)	Prec@1 46.875 (44.926)	Prec@5 78.906 (75.561)
Epoch: [50][8350/14090]	Time 0.724 (0.767)	Data 0.001 (0.001)	Loss 2.1581 (2.1803)	Prec@1 45.312 (44.926)	Prec@5 75.781 (75.559)
Epoch: [50][8360/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 2.1269 (2.1802)	Prec@1 48.438 (44.929)	Prec@5 77.344 (75.562)
Epoch: [50][8370/14090]	Time 0.768 (0.767)	Data 0.001 (0.001)	Loss 2.2186 (2.1802)	Prec@1 47.656 (44.931)	Prec@5 73.438 (75.561)
Epoch: [50][8380/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 1.8399 (2.1801)	Prec@1 50.781 (44.934)	Prec@5 82.031 (75.564)
Epoch: [50][8390/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 2.1140 (2.1800)	Prec@1 47.656 (44.936)	Prec@5 76.562 (75.565)
Epoch: [50][8400/14090]	Time 0.909 (0.767)	Data 0.001 (0.001)	Loss 2.2597 (2.1800)	Prec@1 45.312 (44.938)	Prec@5 73.438 (75.567)
Epoch: [50][8410/14090]	Time 0.773 (0.767)	Data 0.001 (0.001)	Loss 2.2003 (2.1799)	Prec@1 40.625 (44.941)	Prec@5 73.438 (75.568)
Epoch: [50][8420/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 2.3405 (2.1799)	Prec@1 44.531 (44.943)	Prec@5 73.438 (75.569)
Epoch: [50][8430/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 1.9144 (2.1798)	Prec@1 53.125 (44.945)	Prec@5 79.688 (75.571)
Epoch: [50][8440/14090]	Time 0.720 (0.767)	Data 0.001 (0.001)	Loss 2.1516 (2.1798)	Prec@1 47.656 (44.946)	Prec@5 73.438 (75.571)
Epoch: [50][8450/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 2.4090 (2.1798)	Prec@1 38.281 (44.947)	Prec@5 71.875 (75.571)
Epoch: [50][8460/14090]	Time 0.725 (0.767)	Data 0.001 (0.001)	Loss 2.3742 (2.1798)	Prec@1 47.656 (44.948)	Prec@5 69.531 (75.571)
Epoch: [50][8470/14090]	Time 0.876 (0.767)	Data 0.001 (0.001)	Loss 2.2630 (2.1799)	Prec@1 42.969 (44.946)	Prec@5 71.875 (75.568)
Epoch: [50][8480/14090]	Time 0.729 (0.767)	Data 0.002 (0.001)	Loss 2.2890 (2.1800)	Prec@1 42.969 (44.947)	Prec@5 71.875 (75.568)
Epoch: [50][8490/14090]	Time 0.725 (0.767)	Data 0.001 (0.001)	Loss 2.2124 (2.1800)	Prec@1 41.406 (44.948)	Prec@5 76.562 (75.569)
Epoch: [50][8500/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 2.2329 (2.1799)	Prec@1 36.719 (44.948)	Prec@5 73.438 (75.570)
Epoch: [50][8510/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 2.2542 (2.1800)	Prec@1 40.625 (44.945)	Prec@5 72.656 (75.570)
Epoch: [50][8520/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 1.9156 (2.1800)	Prec@1 50.000 (44.945)	Prec@5 79.688 (75.571)
Epoch: [50][8530/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 2.3367 (2.1801)	Prec@1 43.750 (44.944)	Prec@5 76.562 (75.570)
Epoch: [50][8540/14090]	Time 0.881 (0.767)	Data 0.001 (0.001)	Loss 2.1850 (2.1800)	Prec@1 42.188 (44.943)	Prec@5 77.344 (75.570)
Epoch: [50][8550/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 2.3869 (2.1800)	Prec@1 42.188 (44.942)	Prec@5 73.438 (75.570)
Epoch: [50][8560/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 2.0242 (2.1800)	Prec@1 49.219 (44.942)	Prec@5 76.562 (75.571)
Epoch: [50][8570/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.1709 (2.1800)	Prec@1 42.188 (44.940)	Prec@5 78.125 (75.568)
Epoch: [50][8580/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 2.1218 (2.1801)	Prec@1 42.969 (44.937)	Prec@5 75.781 (75.568)
Epoch: [50][8590/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 2.0007 (2.1802)	Prec@1 44.531 (44.935)	Prec@5 80.469 (75.569)
Epoch: [50][8600/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 2.1755 (2.1801)	Prec@1 46.094 (44.933)	Prec@5 75.000 (75.571)
Epoch: [50][8610/14090]	Time 0.875 (0.767)	Data 0.001 (0.001)	Loss 2.4181 (2.1802)	Prec@1 39.844 (44.930)	Prec@5 68.750 (75.569)
Epoch: [50][8620/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 2.1890 (2.1802)	Prec@1 42.969 (44.931)	Prec@5 73.438 (75.569)
Epoch: [50][8630/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 1.9357 (2.1802)	Prec@1 52.344 (44.932)	Prec@5 75.781 (75.570)
Epoch: [50][8640/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 2.1834 (2.1801)	Prec@1 47.656 (44.932)	Prec@5 77.344 (75.570)
Epoch: [50][8650/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 2.2771 (2.1801)	Prec@1 48.438 (44.933)	Prec@5 72.656 (75.568)
Epoch: [50][8660/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 2.4704 (2.1801)	Prec@1 44.531 (44.935)	Prec@5 73.438 (75.570)
Epoch: [50][8670/14090]	Time 0.720 (0.767)	Data 0.001 (0.001)	Loss 2.4650 (2.1802)	Prec@1 38.281 (44.934)	Prec@5 66.406 (75.566)
Epoch: [50][8680/14090]	Time 0.877 (0.767)	Data 0.001 (0.001)	Loss 2.2859 (2.1802)	Prec@1 42.969 (44.936)	Prec@5 75.000 (75.566)
Epoch: [50][8690/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 2.1396 (2.1802)	Prec@1 47.656 (44.935)	Prec@5 72.656 (75.565)
Epoch: [50][8700/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 2.0645 (2.1802)	Prec@1 45.312 (44.935)	Prec@5 78.906 (75.565)
Epoch: [50][8710/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 2.1654 (2.1801)	Prec@1 42.188 (44.936)	Prec@5 75.000 (75.567)
Epoch: [50][8720/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.1084 (2.1801)	Prec@1 50.781 (44.938)	Prec@5 78.906 (75.567)
Epoch: [50][8730/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 2.1353 (2.1801)	Prec@1 45.312 (44.938)	Prec@5 78.906 (75.566)
Epoch: [50][8740/14090]	Time 0.723 (0.767)	Data 0.001 (0.001)	Loss 2.0233 (2.1800)	Prec@1 50.781 (44.941)	Prec@5 77.344 (75.567)
Epoch: [50][8750/14090]	Time 0.863 (0.767)	Data 0.001 (0.001)	Loss 2.5804 (2.1801)	Prec@1 39.844 (44.939)	Prec@5 71.094 (75.567)
Epoch: [50][8760/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 2.1010 (2.1801)	Prec@1 43.750 (44.938)	Prec@5 76.562 (75.566)
Epoch: [50][8770/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 2.1501 (2.1802)	Prec@1 49.219 (44.940)	Prec@5 76.562 (75.566)
Epoch: [50][8780/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 2.0973 (2.1802)	Prec@1 46.094 (44.939)	Prec@5 80.469 (75.566)
Epoch: [50][8790/14090]	Time 0.767 (0.767)	Data 0.001 (0.001)	Loss 2.1625 (2.1802)	Prec@1 44.531 (44.940)	Prec@5 75.000 (75.567)
Epoch: [50][8800/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 2.4045 (2.1803)	Prec@1 39.062 (44.936)	Prec@5 69.531 (75.564)
Epoch: [50][8810/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 2.1468 (2.1803)	Prec@1 44.531 (44.936)	Prec@5 76.562 (75.564)
Epoch: [50][8820/14090]	Time 0.883 (0.767)	Data 0.001 (0.001)	Loss 2.2783 (2.1803)	Prec@1 40.625 (44.935)	Prec@5 68.750 (75.562)
Epoch: [50][8830/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.5503 (2.1804)	Prec@1 43.750 (44.934)	Prec@5 67.188 (75.561)
Epoch: [50][8840/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 2.2120 (2.1804)	Prec@1 41.406 (44.934)	Prec@5 75.000 (75.562)
Epoch: [50][8850/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 2.3240 (2.1805)	Prec@1 41.406 (44.933)	Prec@5 72.656 (75.559)
Epoch: [50][8860/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 2.0142 (2.1805)	Prec@1 47.656 (44.933)	Prec@5 78.125 (75.559)
Epoch: [50][8870/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 2.4340 (2.1806)	Prec@1 38.281 (44.931)	Prec@5 77.344 (75.560)
Epoch: [50][8880/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 2.1585 (2.1805)	Prec@1 42.969 (44.932)	Prec@5 78.906 (75.560)
Epoch: [50][8890/14090]	Time 0.895 (0.767)	Data 0.001 (0.001)	Loss 2.1182 (2.1806)	Prec@1 42.969 (44.930)	Prec@5 75.000 (75.558)
Epoch: [50][8900/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 2.5270 (2.1807)	Prec@1 43.750 (44.927)	Prec@5 66.406 (75.556)
Epoch: [50][8910/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 2.1694 (2.1807)	Prec@1 42.188 (44.925)	Prec@5 82.812 (75.556)
Epoch: [50][8920/14090]	Time 0.770 (0.767)	Data 0.001 (0.001)	Loss 2.1055 (2.1808)	Prec@1 47.656 (44.923)	Prec@5 76.562 (75.556)
Epoch: [50][8930/14090]	Time 0.727 (0.767)	Data 0.001 (0.001)	Loss 2.0144 (2.1808)	Prec@1 52.344 (44.923)	Prec@5 80.469 (75.555)
Epoch: [50][8940/14090]	Time 0.726 (0.767)	Data 0.001 (0.001)	Loss 2.2597 (2.1808)	Prec@1 46.094 (44.925)	Prec@5 74.219 (75.554)
Epoch: [50][8950/14090]	Time 0.775 (0.767)	Data 0.001 (0.001)	Loss 2.0844 (2.1807)	Prec@1 46.875 (44.928)	Prec@5 79.688 (75.556)
Epoch: [50][8960/14090]	Time 0.882 (0.767)	Data 0.001 (0.001)	Loss 2.3160 (2.1807)	Prec@1 41.406 (44.929)	Prec@5 72.656 (75.556)
Epoch: [50][8970/14090]	Time 0.724 (0.767)	Data 0.001 (0.001)	Loss 2.2134 (2.1806)	Prec@1 43.750 (44.931)	Prec@5 75.000 (75.557)
Epoch: [50][8980/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 2.0858 (2.1806)	Prec@1 46.094 (44.934)	Prec@5 78.125 (75.558)
Epoch: [50][8990/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 2.3518 (2.1805)	Prec@1 39.062 (44.937)	Prec@5 67.188 (75.559)
Epoch: [50][9000/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.2602 (2.1805)	Prec@1 40.625 (44.935)	Prec@5 75.000 (75.559)
Epoch: [50][9010/14090]	Time 0.764 (0.767)	Data 0.001 (0.001)	Loss 2.2173 (2.1805)	Prec@1 47.656 (44.936)	Prec@5 75.000 (75.559)
Epoch: [50][9020/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 2.0488 (2.1805)	Prec@1 53.125 (44.937)	Prec@5 78.906 (75.560)
Epoch: [50][9030/14090]	Time 0.890 (0.767)	Data 0.001 (0.001)	Loss 2.5615 (2.1806)	Prec@1 40.625 (44.934)	Prec@5 69.531 (75.559)
Epoch: [50][9040/14090]	Time 0.725 (0.767)	Data 0.001 (0.001)	Loss 2.0558 (2.1806)	Prec@1 48.438 (44.933)	Prec@5 78.906 (75.558)
Epoch: [50][9050/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 1.9945 (2.1806)	Prec@1 49.219 (44.932)	Prec@5 78.125 (75.559)
Epoch: [50][9060/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 2.1866 (2.1807)	Prec@1 46.094 (44.933)	Prec@5 70.312 (75.556)
Epoch: [50][9070/14090]	Time 0.721 (0.767)	Data 0.001 (0.001)	Loss 2.2011 (2.1808)	Prec@1 50.000 (44.932)	Prec@5 81.250 (75.556)
Epoch: [50][9080/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 2.1258 (2.1807)	Prec@1 43.750 (44.934)	Prec@5 77.344 (75.558)
Epoch: [50][9090/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 2.3684 (2.1808)	Prec@1 40.625 (44.933)	Prec@5 70.312 (75.555)
Epoch: [50][9100/14090]	Time 0.873 (0.767)	Data 0.001 (0.001)	Loss 2.1268 (2.1808)	Prec@1 38.281 (44.934)	Prec@5 75.781 (75.554)
Epoch: [50][9110/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 2.3283 (2.1808)	Prec@1 42.969 (44.935)	Prec@5 74.219 (75.554)
Epoch: [50][9120/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 2.2051 (2.1807)	Prec@1 43.750 (44.938)	Prec@5 74.219 (75.557)
Epoch: [50][9130/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 2.3989 (2.1807)	Prec@1 39.062 (44.936)	Prec@5 71.094 (75.557)
Epoch: [50][9140/14090]	Time 0.722 (0.767)	Data 0.001 (0.001)	Loss 2.2383 (2.1806)	Prec@1 42.969 (44.936)	Prec@5 73.438 (75.557)
Epoch: [50][9150/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 2.1141 (2.1806)	Prec@1 50.781 (44.937)	Prec@5 78.125 (75.558)
Epoch: [50][9160/14090]	Time 0.774 (0.767)	Data 0.001 (0.001)	Loss 2.4689 (2.1806)	Prec@1 46.094 (44.939)	Prec@5 68.750 (75.559)
Epoch: [50][9170/14090]	Time 0.859 (0.767)	Data 0.001 (0.001)	Loss 2.2510 (2.1805)	Prec@1 45.312 (44.940)	Prec@5 72.656 (75.557)
Epoch: [50][9180/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 2.1886 (2.1805)	Prec@1 46.094 (44.939)	Prec@5 76.562 (75.557)
Epoch: [50][9190/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 2.4824 (2.1806)	Prec@1 36.719 (44.937)	Prec@5 67.969 (75.555)
Epoch: [50][9200/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 2.3477 (2.1806)	Prec@1 39.844 (44.938)	Prec@5 69.531 (75.555)
Epoch: [50][9210/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 2.1491 (2.1806)	Prec@1 42.188 (44.937)	Prec@5 75.781 (75.554)
Epoch: [50][9220/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 2.1002 (2.1806)	Prec@1 46.875 (44.937)	Prec@5 75.781 (75.555)
Epoch: [50][9230/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 2.4427 (2.1807)	Prec@1 39.844 (44.936)	Prec@5 70.312 (75.554)
Epoch: [50][9240/14090]	Time 0.844 (0.767)	Data 0.001 (0.001)	Loss 1.8042 (2.1806)	Prec@1 54.688 (44.938)	Prec@5 80.469 (75.556)
Epoch: [50][9250/14090]	Time 0.744 (0.767)	Data 0.002 (0.001)	Loss 1.9818 (2.1807)	Prec@1 44.531 (44.936)	Prec@5 73.438 (75.553)
Epoch: [50][9260/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 2.3730 (2.1806)	Prec@1 44.531 (44.937)	Prec@5 70.312 (75.554)
Epoch: [50][9270/14090]	Time 0.775 (0.767)	Data 0.001 (0.001)	Loss 2.3833 (2.1808)	Prec@1 39.844 (44.933)	Prec@5 73.438 (75.552)
Epoch: [50][9280/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 2.0703 (2.1808)	Prec@1 50.000 (44.933)	Prec@5 76.562 (75.552)
Epoch: [50][9290/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 2.3478 (2.1808)	Prec@1 41.406 (44.931)	Prec@5 71.094 (75.551)
Epoch: [50][9300/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.4062 (2.1808)	Prec@1 39.844 (44.931)	Prec@5 75.000 (75.551)
Epoch: [50][9310/14090]	Time 0.910 (0.767)	Data 0.001 (0.001)	Loss 2.0813 (2.1808)	Prec@1 49.219 (44.929)	Prec@5 80.469 (75.552)
Epoch: [50][9320/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 2.4322 (2.1808)	Prec@1 32.031 (44.929)	Prec@5 72.656 (75.552)
Epoch: [50][9330/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 2.2597 (2.1809)	Prec@1 42.188 (44.927)	Prec@5 74.219 (75.552)
Epoch: [50][9340/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 2.1892 (2.1809)	Prec@1 39.844 (44.927)	Prec@5 71.875 (75.553)
Epoch: [50][9350/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 2.2942 (2.1808)	Prec@1 42.188 (44.929)	Prec@5 72.656 (75.555)
Epoch: [50][9360/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 1.8971 (2.1807)	Prec@1 53.125 (44.930)	Prec@5 77.344 (75.554)
Epoch: [50][9370/14090]	Time 0.769 (0.767)	Data 0.001 (0.001)	Loss 2.1199 (2.1808)	Prec@1 49.219 (44.932)	Prec@5 77.344 (75.556)
Epoch: [50][9380/14090]	Time 0.858 (0.767)	Data 0.001 (0.001)	Loss 2.0868 (2.1809)	Prec@1 46.875 (44.931)	Prec@5 80.469 (75.554)
Epoch: [50][9390/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 2.0239 (2.1809)	Prec@1 47.656 (44.930)	Prec@5 78.906 (75.554)
Epoch: [50][9400/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 2.1944 (2.1809)	Prec@1 47.656 (44.930)	Prec@5 75.000 (75.554)
Epoch: [50][9410/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 2.0358 (2.1809)	Prec@1 45.312 (44.929)	Prec@5 80.469 (75.553)
Epoch: [50][9420/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 2.3596 (2.1810)	Prec@1 44.531 (44.928)	Prec@5 74.219 (75.553)
Epoch: [50][9430/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 2.0555 (2.1810)	Prec@1 41.406 (44.926)	Prec@5 78.125 (75.552)
Epoch: [50][9440/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 2.1310 (2.1810)	Prec@1 42.969 (44.927)	Prec@5 82.031 (75.551)
Epoch: [50][9450/14090]	Time 0.837 (0.767)	Data 0.001 (0.001)	Loss 2.1896 (2.1810)	Prec@1 46.875 (44.926)	Prec@5 75.000 (75.550)
Epoch: [50][9460/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 1.9225 (2.1810)	Prec@1 54.688 (44.927)	Prec@5 80.469 (75.550)
Epoch: [50][9470/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 2.1400 (2.1810)	Prec@1 41.406 (44.927)	Prec@5 73.438 (75.550)
Epoch: [50][9480/14090]	Time 0.724 (0.767)	Data 0.001 (0.001)	Loss 2.2694 (2.1810)	Prec@1 42.969 (44.926)	Prec@5 73.438 (75.551)
Epoch: [50][9490/14090]	Time 0.726 (0.767)	Data 0.001 (0.001)	Loss 1.9749 (2.1809)	Prec@1 44.531 (44.928)	Prec@5 82.812 (75.553)
Epoch: [50][9500/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 2.2183 (2.1809)	Prec@1 39.844 (44.928)	Prec@5 71.094 (75.555)
Epoch: [50][9510/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 2.1322 (2.1809)	Prec@1 42.188 (44.927)	Prec@5 75.781 (75.555)
Epoch: [50][9520/14090]	Time 0.844 (0.767)	Data 0.001 (0.001)	Loss 2.2953 (2.1809)	Prec@1 39.844 (44.926)	Prec@5 73.438 (75.555)
Epoch: [50][9530/14090]	Time 0.726 (0.767)	Data 0.001 (0.001)	Loss 2.0288 (2.1809)	Prec@1 51.562 (44.927)	Prec@5 75.000 (75.555)
Epoch: [50][9540/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 2.2835 (2.1810)	Prec@1 38.281 (44.924)	Prec@5 71.875 (75.553)
Epoch: [50][9550/14090]	Time 0.722 (0.767)	Data 0.001 (0.001)	Loss 2.0432 (2.1810)	Prec@1 46.875 (44.924)	Prec@5 74.219 (75.553)
Epoch: [50][9560/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 1.8503 (2.1811)	Prec@1 53.906 (44.922)	Prec@5 81.250 (75.553)
Epoch: [50][9570/14090]	Time 0.724 (0.767)	Data 0.001 (0.001)	Loss 1.8582 (2.1809)	Prec@1 57.031 (44.925)	Prec@5 82.031 (75.555)
Epoch: [50][9580/14090]	Time 0.782 (0.767)	Data 0.001 (0.001)	Loss 2.1039 (2.1810)	Prec@1 45.312 (44.923)	Prec@5 72.656 (75.555)
Epoch: [50][9590/14090]	Time 0.901 (0.767)	Data 0.001 (0.001)	Loss 2.2794 (2.1810)	Prec@1 45.312 (44.923)	Prec@5 71.875 (75.555)
Epoch: [50][9600/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 2.0950 (2.1810)	Prec@1 50.000 (44.923)	Prec@5 80.469 (75.555)
Epoch: [50][9610/14090]	Time 0.786 (0.767)	Data 0.001 (0.001)	Loss 2.1706 (2.1811)	Prec@1 41.406 (44.921)	Prec@5 74.219 (75.555)
Epoch: [50][9620/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 1.9891 (2.1811)	Prec@1 46.094 (44.922)	Prec@5 80.469 (75.555)
Epoch: [50][9630/14090]	Time 0.777 (0.767)	Data 0.001 (0.001)	Loss 2.2483 (2.1811)	Prec@1 40.625 (44.921)	Prec@5 78.906 (75.556)
Epoch: [50][9640/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 2.2772 (2.1811)	Prec@1 38.281 (44.920)	Prec@5 75.000 (75.557)
Epoch: [50][9650/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 2.1379 (2.1811)	Prec@1 46.875 (44.919)	Prec@5 76.562 (75.556)
Epoch: [50][9660/14090]	Time 1.000 (0.767)	Data 0.001 (0.001)	Loss 2.2489 (2.1812)	Prec@1 40.625 (44.917)	Prec@5 74.219 (75.555)
Epoch: [50][9670/14090]	Time 0.727 (0.767)	Data 0.001 (0.001)	Loss 2.0830 (2.1812)	Prec@1 45.312 (44.916)	Prec@5 76.562 (75.552)
Epoch: [50][9680/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 2.0758 (2.1813)	Prec@1 42.969 (44.913)	Prec@5 78.125 (75.552)
Epoch: [50][9690/14090]	Time 0.777 (0.767)	Data 0.001 (0.001)	Loss 1.9389 (2.1813)	Prec@1 51.562 (44.912)	Prec@5 75.781 (75.551)
Epoch: [50][9700/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 1.9412 (2.1813)	Prec@1 50.000 (44.914)	Prec@5 78.906 (75.551)
Epoch: [50][9710/14090]	Time 0.725 (0.767)	Data 0.001 (0.001)	Loss 2.1886 (2.1813)	Prec@1 46.094 (44.915)	Prec@5 76.562 (75.551)
Epoch: [50][9720/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 2.3348 (2.1814)	Prec@1 40.625 (44.912)	Prec@5 71.094 (75.549)
Epoch: [50][9730/14090]	Time 0.834 (0.767)	Data 0.001 (0.001)	Loss 2.3818 (2.1815)	Prec@1 39.844 (44.910)	Prec@5 72.656 (75.546)
Epoch: [50][9740/14090]	Time 0.725 (0.767)	Data 0.001 (0.001)	Loss 2.2632 (2.1815)	Prec@1 43.750 (44.909)	Prec@5 74.219 (75.546)
Epoch: [50][9750/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 2.3694 (2.1815)	Prec@1 32.812 (44.909)	Prec@5 76.562 (75.547)
Epoch: [50][9760/14090]	Time 0.725 (0.767)	Data 0.001 (0.001)	Loss 2.2557 (2.1815)	Prec@1 47.656 (44.910)	Prec@5 74.219 (75.547)
Epoch: [50][9770/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 1.9504 (2.1814)	Prec@1 48.438 (44.910)	Prec@5 80.469 (75.548)
Epoch: [50][9780/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 2.6945 (2.1815)	Prec@1 37.500 (44.908)	Prec@5 67.969 (75.546)
Epoch: [50][9790/14090]	Time 0.773 (0.767)	Data 0.001 (0.001)	Loss 2.1747 (2.1815)	Prec@1 42.969 (44.911)	Prec@5 79.688 (75.547)
Epoch: [50][9800/14090]	Time 0.926 (0.767)	Data 0.001 (0.001)	Loss 2.0789 (2.1815)	Prec@1 47.656 (44.911)	Prec@5 75.000 (75.548)
Epoch: [50][9810/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 2.3170 (2.1816)	Prec@1 40.625 (44.906)	Prec@5 73.438 (75.544)
Epoch: [50][9820/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 2.0439 (2.1816)	Prec@1 44.531 (44.906)	Prec@5 78.906 (75.544)
Epoch: [50][9830/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 2.1859 (2.1817)	Prec@1 49.219 (44.904)	Prec@5 81.250 (75.545)
Epoch: [50][9840/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 2.1517 (2.1817)	Prec@1 41.406 (44.905)	Prec@5 73.438 (75.546)
Epoch: [50][9850/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 2.1908 (2.1817)	Prec@1 48.438 (44.905)	Prec@5 74.219 (75.545)
Epoch: [50][9860/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 2.3798 (2.1817)	Prec@1 42.969 (44.905)	Prec@5 74.219 (75.544)
Epoch: [50][9870/14090]	Time 0.858 (0.767)	Data 0.001 (0.001)	Loss 1.9950 (2.1817)	Prec@1 49.219 (44.905)	Prec@5 79.688 (75.545)
Epoch: [50][9880/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 2.2443 (2.1817)	Prec@1 43.750 (44.906)	Prec@5 71.875 (75.545)
Epoch: [50][9890/14090]	Time 0.779 (0.767)	Data 0.001 (0.001)	Loss 2.1486 (2.1817)	Prec@1 47.656 (44.907)	Prec@5 73.438 (75.546)
Epoch: [50][9900/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 2.5321 (2.1817)	Prec@1 35.938 (44.905)	Prec@5 67.188 (75.545)
Epoch: [50][9910/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 2.1439 (2.1818)	Prec@1 48.438 (44.906)	Prec@5 75.781 (75.543)
Epoch: [50][9920/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.2626 (2.1817)	Prec@1 39.844 (44.907)	Prec@5 72.656 (75.544)
Epoch: [50][9930/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 2.4402 (2.1818)	Prec@1 42.188 (44.906)	Prec@5 70.312 (75.543)
Epoch: [50][9940/14090]	Time 0.851 (0.767)	Data 0.001 (0.001)	Loss 2.0479 (2.1818)	Prec@1 41.406 (44.904)	Prec@5 79.688 (75.544)
Epoch: [50][9950/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.4943 (2.1817)	Prec@1 35.938 (44.906)	Prec@5 75.000 (75.545)
Epoch: [50][9960/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 2.0934 (2.1818)	Prec@1 50.000 (44.906)	Prec@5 75.000 (75.542)
Epoch: [50][9970/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.2224 (2.1818)	Prec@1 44.531 (44.905)	Prec@5 73.438 (75.541)
Epoch: [50][9980/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 2.2709 (2.1819)	Prec@1 42.188 (44.905)	Prec@5 70.312 (75.540)
Epoch: [50][9990/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 2.4498 (2.1819)	Prec@1 42.969 (44.904)	Prec@5 71.094 (75.539)
Epoch: [50][10000/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 2.1986 (2.1820)	Prec@1 43.750 (44.901)	Prec@5 76.562 (75.538)
Epoch: [50][10010/14090]	Time 0.877 (0.767)	Data 0.001 (0.001)	Loss 2.4209 (2.1820)	Prec@1 35.938 (44.901)	Prec@5 69.531 (75.539)
Epoch: [50][10020/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.1656 (2.1819)	Prec@1 45.312 (44.901)	Prec@5 78.906 (75.540)
Epoch: [50][10030/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 2.1950 (2.1820)	Prec@1 43.750 (44.898)	Prec@5 76.562 (75.538)
Epoch: [50][10040/14090]	Time 0.777 (0.767)	Data 0.001 (0.001)	Loss 2.0812 (2.1819)	Prec@1 47.656 (44.901)	Prec@5 80.469 (75.540)
Epoch: [50][10050/14090]	Time 0.766 (0.767)	Data 0.001 (0.001)	Loss 2.0298 (2.1820)	Prec@1 51.562 (44.902)	Prec@5 72.656 (75.539)
Epoch: [50][10060/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 2.3000 (2.1821)	Prec@1 42.969 (44.899)	Prec@5 75.781 (75.538)
Epoch: [50][10070/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 2.3213 (2.1821)	Prec@1 44.531 (44.899)	Prec@5 75.781 (75.537)
Epoch: [50][10080/14090]	Time 0.903 (0.767)	Data 0.001 (0.001)	Loss 2.2212 (2.1820)	Prec@1 42.969 (44.901)	Prec@5 74.219 (75.537)
Epoch: [50][10090/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 2.2256 (2.1820)	Prec@1 48.438 (44.901)	Prec@5 71.094 (75.537)
Epoch: [50][10100/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 1.8307 (2.1819)	Prec@1 51.562 (44.902)	Prec@5 82.812 (75.538)
Epoch: [50][10110/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 2.4773 (2.1819)	Prec@1 39.062 (44.901)	Prec@5 70.312 (75.538)
Epoch: [50][10120/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.4363 (2.1819)	Prec@1 42.969 (44.903)	Prec@5 69.531 (75.538)
Epoch: [50][10130/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 2.2172 (2.1819)	Prec@1 42.969 (44.903)	Prec@5 70.312 (75.538)
Epoch: [50][10140/14090]	Time 0.777 (0.767)	Data 0.001 (0.001)	Loss 1.7996 (2.1819)	Prec@1 59.375 (44.906)	Prec@5 78.125 (75.538)
Epoch: [50][10150/14090]	Time 0.881 (0.767)	Data 0.001 (0.001)	Loss 2.1865 (2.1819)	Prec@1 47.656 (44.905)	Prec@5 74.219 (75.538)
Epoch: [50][10160/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 2.2212 (2.1820)	Prec@1 45.312 (44.902)	Prec@5 75.781 (75.538)
Epoch: [50][10170/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 2.3742 (2.1820)	Prec@1 35.938 (44.903)	Prec@5 71.094 (75.537)
Epoch: [50][10180/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 2.4421 (2.1819)	Prec@1 38.281 (44.903)	Prec@5 67.188 (75.538)
Epoch: [50][10190/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 2.0184 (2.1819)	Prec@1 51.562 (44.904)	Prec@5 78.906 (75.540)
Epoch: [50][10200/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 2.0068 (2.1819)	Prec@1 51.562 (44.904)	Prec@5 81.250 (75.538)
Epoch: [50][10210/14090]	Time 0.766 (0.767)	Data 0.001 (0.001)	Loss 2.4659 (2.1819)	Prec@1 39.844 (44.905)	Prec@5 74.219 (75.539)
Epoch: [50][10220/14090]	Time 0.860 (0.767)	Data 0.001 (0.001)	Loss 1.9419 (2.1818)	Prec@1 48.438 (44.907)	Prec@5 84.375 (75.541)
Epoch: [50][10230/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 2.1555 (2.1818)	Prec@1 43.750 (44.906)	Prec@5 74.219 (75.541)
Epoch: [50][10240/14090]	Time 0.766 (0.767)	Data 0.001 (0.001)	Loss 2.1388 (2.1818)	Prec@1 42.969 (44.907)	Prec@5 80.469 (75.543)
Epoch: [50][10250/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 2.2632 (2.1818)	Prec@1 46.875 (44.907)	Prec@5 76.562 (75.543)
Epoch: [50][10260/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 2.4486 (2.1818)	Prec@1 40.625 (44.906)	Prec@5 69.531 (75.541)
Epoch: [50][10270/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 2.2228 (2.1819)	Prec@1 46.094 (44.906)	Prec@5 72.656 (75.541)
Epoch: [50][10280/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 2.1965 (2.1818)	Prec@1 46.094 (44.909)	Prec@5 74.219 (75.542)
Epoch: [50][10290/14090]	Time 0.828 (0.767)	Data 0.001 (0.001)	Loss 2.1092 (2.1818)	Prec@1 47.656 (44.911)	Prec@5 79.688 (75.543)
Epoch: [50][10300/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 2.3113 (2.1817)	Prec@1 34.375 (44.912)	Prec@5 75.781 (75.542)
Epoch: [50][10310/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 2.4831 (2.1818)	Prec@1 33.594 (44.911)	Prec@5 64.844 (75.541)
Epoch: [50][10320/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 1.9332 (2.1817)	Prec@1 50.781 (44.913)	Prec@5 82.031 (75.543)
Epoch: [50][10330/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 2.1603 (2.1817)	Prec@1 40.625 (44.914)	Prec@5 81.250 (75.544)
Epoch: [50][10340/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 2.1749 (2.1817)	Prec@1 42.188 (44.913)	Prec@5 77.344 (75.543)
Epoch: [50][10350/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 2.1161 (2.1817)	Prec@1 44.531 (44.911)	Prec@5 75.000 (75.542)
Epoch: [50][10360/14090]	Time 0.908 (0.767)	Data 0.001 (0.001)	Loss 2.0462 (2.1817)	Prec@1 45.312 (44.910)	Prec@5 78.125 (75.544)
Epoch: [50][10370/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 2.2312 (2.1816)	Prec@1 44.531 (44.911)	Prec@5 77.344 (75.545)
Epoch: [50][10380/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 1.9417 (2.1817)	Prec@1 54.688 (44.910)	Prec@5 76.562 (75.545)
Epoch: [50][10390/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.1180 (2.1817)	Prec@1 42.969 (44.908)	Prec@5 75.781 (75.545)
Epoch: [50][10400/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 2.1367 (2.1816)	Prec@1 41.406 (44.908)	Prec@5 82.031 (75.545)
Epoch: [50][10410/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.0746 (2.1817)	Prec@1 44.531 (44.906)	Prec@5 79.688 (75.545)
Epoch: [50][10420/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 2.1892 (2.1818)	Prec@1 47.656 (44.907)	Prec@5 76.562 (75.544)
Epoch: [50][10430/14090]	Time 0.832 (0.767)	Data 0.001 (0.001)	Loss 1.9003 (2.1818)	Prec@1 53.125 (44.905)	Prec@5 82.031 (75.545)
Epoch: [50][10440/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 1.8365 (2.1817)	Prec@1 58.594 (44.908)	Prec@5 80.469 (75.547)
Epoch: [50][10450/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 2.0999 (2.1818)	Prec@1 48.438 (44.907)	Prec@5 76.562 (75.545)
Epoch: [50][10460/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 2.0501 (2.1818)	Prec@1 46.094 (44.907)	Prec@5 75.781 (75.545)
Epoch: [50][10470/14090]	Time 0.726 (0.767)	Data 0.001 (0.001)	Loss 2.0291 (2.1819)	Prec@1 46.094 (44.906)	Prec@5 80.469 (75.544)
Epoch: [50][10480/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 2.0330 (2.1818)	Prec@1 49.219 (44.908)	Prec@5 82.812 (75.545)
Epoch: [50][10490/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 2.2520 (2.1818)	Prec@1 41.406 (44.906)	Prec@5 76.562 (75.545)
Epoch: [50][10500/14090]	Time 0.901 (0.767)	Data 0.001 (0.001)	Loss 2.1322 (2.1820)	Prec@1 47.656 (44.904)	Prec@5 77.344 (75.542)
Epoch: [50][10510/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 2.2117 (2.1820)	Prec@1 42.969 (44.903)	Prec@5 73.438 (75.541)
Epoch: [50][10520/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 2.0957 (2.1820)	Prec@1 46.094 (44.904)	Prec@5 77.344 (75.540)
Epoch: [50][10530/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 2.3527 (2.1821)	Prec@1 42.188 (44.904)	Prec@5 72.656 (75.539)
Epoch: [50][10540/14090]	Time 0.776 (0.767)	Data 0.001 (0.001)	Loss 2.1418 (2.1820)	Prec@1 40.625 (44.904)	Prec@5 74.219 (75.539)
Epoch: [50][10550/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 2.1410 (2.1820)	Prec@1 41.406 (44.904)	Prec@5 77.344 (75.540)
Epoch: [50][10560/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 2.0249 (2.1820)	Prec@1 46.094 (44.905)	Prec@5 81.250 (75.540)
Epoch: [50][10570/14090]	Time 0.875 (0.767)	Data 0.001 (0.001)	Loss 2.1942 (2.1821)	Prec@1 42.188 (44.903)	Prec@5 72.656 (75.538)
Epoch: [50][10580/14090]	Time 0.771 (0.767)	Data 0.001 (0.001)	Loss 2.2606 (2.1821)	Prec@1 44.531 (44.904)	Prec@5 75.000 (75.537)
Epoch: [50][10590/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 2.5492 (2.1821)	Prec@1 39.062 (44.905)	Prec@5 75.000 (75.538)
Epoch: [50][10600/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 2.5052 (2.1821)	Prec@1 35.938 (44.903)	Prec@5 68.750 (75.537)
Epoch: [50][10610/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 2.5524 (2.1821)	Prec@1 40.625 (44.904)	Prec@5 69.531 (75.538)
Epoch: [50][10620/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 2.2050 (2.1821)	Prec@1 48.438 (44.904)	Prec@5 73.438 (75.539)
Epoch: [50][10630/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 2.1594 (2.1820)	Prec@1 42.188 (44.904)	Prec@5 78.906 (75.541)
Epoch: [50][10640/14090]	Time 0.870 (0.767)	Data 0.001 (0.001)	Loss 2.4464 (2.1821)	Prec@1 46.875 (44.906)	Prec@5 71.094 (75.541)
Epoch: [50][10650/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 2.3259 (2.1820)	Prec@1 45.312 (44.904)	Prec@5 73.438 (75.542)
Epoch: [50][10660/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 2.1131 (2.1820)	Prec@1 45.312 (44.903)	Prec@5 74.219 (75.542)
Epoch: [50][10670/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 2.0178 (2.1820)	Prec@1 54.688 (44.905)	Prec@5 76.562 (75.542)
Epoch: [50][10680/14090]	Time 0.767 (0.767)	Data 0.001 (0.001)	Loss 2.0962 (2.1820)	Prec@1 42.188 (44.904)	Prec@5 78.125 (75.542)
Epoch: [50][10690/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 2.1135 (2.1820)	Prec@1 42.188 (44.903)	Prec@5 74.219 (75.543)
Epoch: [50][10700/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 1.9505 (2.1819)	Prec@1 51.562 (44.905)	Prec@5 79.688 (75.544)
Epoch: [50][10710/14090]	Time 0.904 (0.767)	Data 0.001 (0.001)	Loss 2.0275 (2.1819)	Prec@1 48.438 (44.905)	Prec@5 75.781 (75.542)
Epoch: [50][10720/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 2.0611 (2.1819)	Prec@1 49.219 (44.905)	Prec@5 76.562 (75.544)
Epoch: [50][10730/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 2.1248 (2.1818)	Prec@1 50.781 (44.906)	Prec@5 78.906 (75.545)
Epoch: [50][10740/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.5175 (2.1819)	Prec@1 35.938 (44.905)	Prec@5 67.969 (75.544)
Epoch: [50][10750/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 2.2185 (2.1819)	Prec@1 39.062 (44.904)	Prec@5 70.312 (75.544)
Epoch: [50][10760/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 2.1745 (2.1819)	Prec@1 48.438 (44.905)	Prec@5 75.781 (75.543)
Epoch: [50][10770/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.3842 (2.1819)	Prec@1 42.969 (44.905)	Prec@5 71.094 (75.541)
Epoch: [50][10780/14090]	Time 0.876 (0.767)	Data 0.001 (0.001)	Loss 2.2812 (2.1820)	Prec@1 46.094 (44.904)	Prec@5 71.875 (75.541)
Epoch: [50][10790/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 2.2818 (2.1820)	Prec@1 44.531 (44.904)	Prec@5 73.438 (75.541)
Epoch: [50][10800/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 2.1687 (2.1819)	Prec@1 45.312 (44.907)	Prec@5 77.344 (75.542)
Epoch: [50][10810/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 2.2885 (2.1818)	Prec@1 42.188 (44.909)	Prec@5 72.656 (75.543)
Epoch: [50][10820/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 1.9067 (2.1818)	Prec@1 51.562 (44.908)	Prec@5 82.031 (75.541)
Epoch: [50][10830/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 2.0742 (2.1818)	Prec@1 45.312 (44.909)	Prec@5 75.000 (75.540)
Epoch: [50][10840/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 2.5509 (2.1818)	Prec@1 36.719 (44.908)	Prec@5 67.969 (75.541)
Epoch: [50][10850/14090]	Time 0.894 (0.767)	Data 0.001 (0.001)	Loss 2.4032 (2.1818)	Prec@1 39.062 (44.909)	Prec@5 70.312 (75.541)
Epoch: [50][10860/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.1067 (2.1818)	Prec@1 43.750 (44.909)	Prec@5 75.781 (75.542)
Epoch: [50][10870/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 2.5030 (2.1819)	Prec@1 37.500 (44.906)	Prec@5 70.312 (75.540)
Epoch: [50][10880/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 2.2415 (2.1820)	Prec@1 42.969 (44.905)	Prec@5 75.781 (75.538)
Epoch: [50][10890/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 2.0269 (2.1820)	Prec@1 49.219 (44.904)	Prec@5 75.000 (75.538)
Epoch: [50][10900/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 2.0848 (2.1820)	Prec@1 44.531 (44.904)	Prec@5 80.469 (75.537)
Epoch: [50][10910/14090]	Time 0.785 (0.767)	Data 0.001 (0.001)	Loss 2.3509 (2.1821)	Prec@1 39.062 (44.902)	Prec@5 70.312 (75.536)
Epoch: [50][10920/14090]	Time 0.833 (0.767)	Data 0.001 (0.001)	Loss 1.9553 (2.1822)	Prec@1 46.875 (44.900)	Prec@5 81.250 (75.534)
Epoch: [50][10930/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 2.1375 (2.1822)	Prec@1 46.875 (44.900)	Prec@5 81.250 (75.534)
Epoch: [50][10940/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 2.1842 (2.1822)	Prec@1 46.875 (44.897)	Prec@5 76.562 (75.533)
Epoch: [50][10950/14090]	Time 0.773 (0.767)	Data 0.001 (0.001)	Loss 2.2968 (2.1823)	Prec@1 45.312 (44.897)	Prec@5 75.781 (75.533)
Epoch: [50][10960/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 2.2121 (2.1822)	Prec@1 45.312 (44.898)	Prec@5 75.781 (75.534)
Epoch: [50][10970/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 2.0690 (2.1822)	Prec@1 50.781 (44.898)	Prec@5 77.344 (75.533)
Epoch: [50][10980/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 1.9983 (2.1822)	Prec@1 51.562 (44.899)	Prec@5 82.031 (75.533)
Epoch: [50][10990/14090]	Time 0.870 (0.767)	Data 0.001 (0.001)	Loss 2.3574 (2.1822)	Prec@1 45.312 (44.899)	Prec@5 71.094 (75.533)
Epoch: [50][11000/14090]	Time 0.727 (0.767)	Data 0.001 (0.001)	Loss 2.1216 (2.1822)	Prec@1 42.969 (44.899)	Prec@5 75.000 (75.534)
Epoch: [50][11010/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 2.0786 (2.1822)	Prec@1 45.312 (44.900)	Prec@5 78.906 (75.536)
Epoch: [50][11020/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 2.6097 (2.1822)	Prec@1 40.625 (44.897)	Prec@5 66.406 (75.535)
Epoch: [50][11030/14090]	Time 0.725 (0.767)	Data 0.001 (0.001)	Loss 2.0976 (2.1822)	Prec@1 42.188 (44.895)	Prec@5 75.781 (75.534)
Epoch: [50][11040/14090]	Time 0.770 (0.767)	Data 0.001 (0.001)	Loss 2.2256 (2.1823)	Prec@1 42.188 (44.893)	Prec@5 71.875 (75.531)
Epoch: [50][11050/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 1.8334 (2.1823)	Prec@1 55.469 (44.893)	Prec@5 80.469 (75.532)
Epoch: [50][11060/14090]	Time 0.868 (0.767)	Data 0.001 (0.001)	Loss 2.4275 (2.1822)	Prec@1 37.500 (44.894)	Prec@5 65.625 (75.532)
Epoch: [50][11070/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 1.9442 (2.1822)	Prec@1 51.562 (44.894)	Prec@5 80.469 (75.532)
Epoch: [50][11080/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 1.9240 (2.1821)	Prec@1 53.125 (44.896)	Prec@5 78.906 (75.533)
Epoch: [50][11090/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 2.4864 (2.1822)	Prec@1 46.094 (44.895)	Prec@5 63.281 (75.533)
Epoch: [50][11100/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 2.0135 (2.1822)	Prec@1 47.656 (44.895)	Prec@5 78.906 (75.533)
Epoch: [50][11110/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 2.1132 (2.1822)	Prec@1 42.969 (44.894)	Prec@5 75.781 (75.533)
Epoch: [50][11120/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 2.0489 (2.1822)	Prec@1 48.438 (44.895)	Prec@5 82.031 (75.533)
Epoch: [50][11130/14090]	Time 0.842 (0.767)	Data 0.001 (0.001)	Loss 2.7021 (2.1823)	Prec@1 31.250 (44.892)	Prec@5 64.844 (75.531)
Epoch: [50][11140/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 2.1718 (2.1823)	Prec@1 49.219 (44.891)	Prec@5 74.219 (75.530)
Epoch: [50][11150/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.1858 (2.1823)	Prec@1 42.188 (44.891)	Prec@5 72.656 (75.530)
Epoch: [50][11160/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 2.1396 (2.1823)	Prec@1 46.094 (44.891)	Prec@5 75.781 (75.529)
Epoch: [50][11170/14090]	Time 0.780 (0.767)	Data 0.001 (0.001)	Loss 2.1681 (2.1824)	Prec@1 46.094 (44.892)	Prec@5 74.219 (75.529)
Epoch: [50][11180/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 1.9878 (2.1824)	Prec@1 42.969 (44.891)	Prec@5 82.031 (75.529)
Epoch: [50][11190/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 2.1371 (2.1824)	Prec@1 42.969 (44.890)	Prec@5 78.125 (75.528)
Epoch: [50][11200/14090]	Time 0.863 (0.767)	Data 0.001 (0.001)	Loss 2.4000 (2.1824)	Prec@1 40.625 (44.889)	Prec@5 71.094 (75.529)
Epoch: [50][11210/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 2.0563 (2.1824)	Prec@1 51.562 (44.890)	Prec@5 80.469 (75.529)
Epoch: [50][11220/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 2.1301 (2.1824)	Prec@1 43.750 (44.889)	Prec@5 77.344 (75.528)
Epoch: [50][11230/14090]	Time 0.768 (0.767)	Data 0.001 (0.001)	Loss 2.1229 (2.1824)	Prec@1 47.656 (44.890)	Prec@5 78.906 (75.529)
Epoch: [50][11240/14090]	Time 0.779 (0.767)	Data 0.001 (0.001)	Loss 2.2536 (2.1824)	Prec@1 43.750 (44.890)	Prec@5 75.781 (75.528)
Epoch: [50][11250/14090]	Time 0.769 (0.767)	Data 0.001 (0.001)	Loss 2.1627 (2.1825)	Prec@1 46.094 (44.890)	Prec@5 75.000 (75.526)
Epoch: [50][11260/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 2.2715 (2.1826)	Prec@1 44.531 (44.888)	Prec@5 67.969 (75.524)
Epoch: [50][11270/14090]	Time 0.855 (0.767)	Data 0.001 (0.001)	Loss 2.1840 (2.1826)	Prec@1 42.969 (44.887)	Prec@5 78.906 (75.524)
Epoch: [50][11280/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 2.2099 (2.1826)	Prec@1 49.219 (44.886)	Prec@5 73.438 (75.523)
Epoch: [50][11290/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.3760 (2.1826)	Prec@1 39.062 (44.886)	Prec@5 71.875 (75.524)
Epoch: [50][11300/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 2.5105 (2.1826)	Prec@1 40.625 (44.886)	Prec@5 69.531 (75.523)
Epoch: [50][11310/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 1.8993 (2.1827)	Prec@1 56.250 (44.886)	Prec@5 81.250 (75.523)
Epoch: [50][11320/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 2.3815 (2.1827)	Prec@1 42.969 (44.886)	Prec@5 71.094 (75.520)
Epoch: [50][11330/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 1.8239 (2.1827)	Prec@1 50.000 (44.887)	Prec@5 82.812 (75.523)
Epoch: [50][11340/14090]	Time 0.832 (0.767)	Data 0.001 (0.001)	Loss 1.9867 (2.1827)	Prec@1 56.250 (44.885)	Prec@5 75.781 (75.521)
Epoch: [50][11350/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 2.3741 (2.1828)	Prec@1 39.062 (44.882)	Prec@5 70.312 (75.520)
Epoch: [50][11360/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 2.0776 (2.1828)	Prec@1 51.562 (44.883)	Prec@5 76.562 (75.521)
Epoch: [50][11370/14090]	Time 0.722 (0.767)	Data 0.001 (0.001)	Loss 2.2040 (2.1827)	Prec@1 42.188 (44.885)	Prec@5 76.562 (75.523)
Epoch: [50][11380/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 2.3078 (2.1826)	Prec@1 39.844 (44.886)	Prec@5 73.438 (75.524)
Epoch: [50][11390/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 1.7871 (2.1826)	Prec@1 52.344 (44.888)	Prec@5 81.250 (75.525)
Epoch: [50][11400/14090]	Time 0.774 (0.767)	Data 0.001 (0.001)	Loss 2.4358 (2.1826)	Prec@1 39.844 (44.886)	Prec@5 74.219 (75.524)
Epoch: [50][11410/14090]	Time 0.843 (0.767)	Data 0.001 (0.001)	Loss 2.2837 (2.1826)	Prec@1 39.844 (44.887)	Prec@5 75.000 (75.524)
Epoch: [50][11420/14090]	Time 0.723 (0.767)	Data 0.001 (0.001)	Loss 2.0706 (2.1826)	Prec@1 48.438 (44.886)	Prec@5 78.906 (75.524)
Epoch: [50][11430/14090]	Time 0.776 (0.767)	Data 0.001 (0.001)	Loss 2.4967 (2.1826)	Prec@1 34.375 (44.887)	Prec@5 66.406 (75.523)
Epoch: [50][11440/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 2.3090 (2.1826)	Prec@1 39.844 (44.887)	Prec@5 74.219 (75.523)
Epoch: [50][11450/14090]	Time 0.724 (0.767)	Data 0.001 (0.001)	Loss 2.4944 (2.1827)	Prec@1 33.594 (44.885)	Prec@5 71.094 (75.522)
Epoch: [50][11460/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 2.1777 (2.1827)	Prec@1 43.750 (44.886)	Prec@5 75.000 (75.521)
Epoch: [50][11470/14090]	Time 0.777 (0.767)	Data 0.001 (0.001)	Loss 2.3300 (2.1827)	Prec@1 42.969 (44.888)	Prec@5 74.219 (75.523)
Epoch: [50][11480/14090]	Time 0.919 (0.767)	Data 0.001 (0.001)	Loss 2.1483 (2.1826)	Prec@1 46.094 (44.890)	Prec@5 74.219 (75.525)
Epoch: [50][11490/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 2.2570 (2.1826)	Prec@1 43.750 (44.890)	Prec@5 73.438 (75.524)
Epoch: [50][11500/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.1378 (2.1827)	Prec@1 42.188 (44.888)	Prec@5 75.000 (75.524)
Epoch: [50][11510/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 2.2907 (2.1827)	Prec@1 37.500 (44.889)	Prec@5 71.875 (75.523)
Epoch: [50][11520/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 2.2672 (2.1827)	Prec@1 46.875 (44.890)	Prec@5 75.781 (75.524)
Epoch: [50][11530/14090]	Time 0.723 (0.767)	Data 0.001 (0.001)	Loss 2.0086 (2.1827)	Prec@1 50.781 (44.891)	Prec@5 78.125 (75.522)
Epoch: [50][11540/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 2.0080 (2.1826)	Prec@1 48.438 (44.892)	Prec@5 76.562 (75.524)
Epoch: [50][11550/14090]	Time 0.879 (0.767)	Data 0.001 (0.001)	Loss 2.2643 (2.1826)	Prec@1 42.969 (44.892)	Prec@5 75.781 (75.523)
Epoch: [50][11560/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.4042 (2.1827)	Prec@1 36.719 (44.891)	Prec@5 72.656 (75.523)
Epoch: [50][11570/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.0801 (2.1827)	Prec@1 45.312 (44.890)	Prec@5 76.562 (75.522)
Epoch: [50][11580/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.1499 (2.1827)	Prec@1 47.656 (44.891)	Prec@5 73.438 (75.521)
Epoch: [50][11590/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.3648 (2.1827)	Prec@1 41.406 (44.891)	Prec@5 71.875 (75.521)
Epoch: [50][11600/14090]	Time 0.722 (0.766)	Data 0.001 (0.001)	Loss 1.9418 (2.1826)	Prec@1 42.188 (44.891)	Prec@5 80.469 (75.521)
Epoch: [50][11610/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.2081 (2.1826)	Prec@1 42.188 (44.892)	Prec@5 74.219 (75.522)
Epoch: [50][11620/14090]	Time 0.833 (0.766)	Data 0.001 (0.001)	Loss 1.9494 (2.1826)	Prec@1 51.562 (44.892)	Prec@5 78.125 (75.522)
Epoch: [50][11630/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.1359 (2.1825)	Prec@1 48.438 (44.895)	Prec@5 75.781 (75.523)
Epoch: [50][11640/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 2.3016 (2.1825)	Prec@1 40.625 (44.896)	Prec@5 77.344 (75.523)
Epoch: [50][11650/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.2254 (2.1825)	Prec@1 43.750 (44.895)	Prec@5 76.562 (75.523)
Epoch: [50][11660/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.0296 (2.1824)	Prec@1 47.656 (44.897)	Prec@5 77.344 (75.524)
Epoch: [50][11670/14090]	Time 0.724 (0.766)	Data 0.001 (0.001)	Loss 2.1198 (2.1825)	Prec@1 41.406 (44.895)	Prec@5 80.469 (75.523)
Epoch: [50][11680/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 2.4592 (2.1825)	Prec@1 41.406 (44.893)	Prec@5 68.750 (75.522)
Epoch: [50][11690/14090]	Time 0.845 (0.766)	Data 0.001 (0.001)	Loss 2.0938 (2.1825)	Prec@1 49.219 (44.893)	Prec@5 77.344 (75.524)
Epoch: [50][11700/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.3607 (2.1825)	Prec@1 42.188 (44.891)	Prec@5 71.094 (75.523)
Epoch: [50][11710/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.0253 (2.1825)	Prec@1 46.875 (44.890)	Prec@5 78.906 (75.525)
Epoch: [50][11720/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.1604 (2.1826)	Prec@1 42.969 (44.888)	Prec@5 78.125 (75.523)
Epoch: [50][11730/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.2606 (2.1827)	Prec@1 48.438 (44.885)	Prec@5 77.344 (75.522)
Epoch: [50][11740/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.3852 (2.1827)	Prec@1 40.625 (44.885)	Prec@5 75.781 (75.523)
Epoch: [50][11750/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.4357 (2.1828)	Prec@1 42.188 (44.883)	Prec@5 75.781 (75.521)
Epoch: [50][11760/14090]	Time 0.877 (0.766)	Data 0.001 (0.001)	Loss 2.5702 (2.1828)	Prec@1 32.812 (44.882)	Prec@5 71.875 (75.520)
Epoch: [50][11770/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 1.9789 (2.1828)	Prec@1 46.875 (44.882)	Prec@5 83.594 (75.521)
Epoch: [50][11780/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.2140 (2.1828)	Prec@1 47.656 (44.883)	Prec@5 75.781 (75.521)
Epoch: [50][11790/14090]	Time 0.776 (0.766)	Data 0.001 (0.001)	Loss 2.1472 (2.1828)	Prec@1 42.969 (44.885)	Prec@5 72.656 (75.521)
Epoch: [50][11800/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.2368 (2.1828)	Prec@1 34.375 (44.883)	Prec@5 75.000 (75.522)
Epoch: [50][11810/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.3894 (2.1828)	Prec@1 41.406 (44.883)	Prec@5 71.875 (75.522)
Epoch: [50][11820/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.0179 (2.1828)	Prec@1 47.656 (44.884)	Prec@5 81.250 (75.523)
Epoch: [50][11830/14090]	Time 0.871 (0.766)	Data 0.001 (0.001)	Loss 2.2465 (2.1828)	Prec@1 42.188 (44.884)	Prec@5 75.781 (75.521)
Epoch: [50][11840/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.2559 (2.1827)	Prec@1 42.969 (44.883)	Prec@5 73.438 (75.523)
Epoch: [50][11850/14090]	Time 0.775 (0.766)	Data 0.001 (0.001)	Loss 2.3593 (2.1827)	Prec@1 42.969 (44.883)	Prec@5 71.875 (75.523)
Epoch: [50][11860/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.0556 (2.1827)	Prec@1 45.312 (44.884)	Prec@5 79.688 (75.525)
Epoch: [50][11870/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.0783 (2.1827)	Prec@1 46.875 (44.884)	Prec@5 77.344 (75.524)
Epoch: [50][11880/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.5772 (2.1828)	Prec@1 36.719 (44.883)	Prec@5 72.656 (75.523)
Epoch: [50][11890/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 1.8687 (2.1827)	Prec@1 46.094 (44.884)	Prec@5 83.594 (75.524)
Epoch: [50][11900/14090]	Time 0.876 (0.766)	Data 0.001 (0.001)	Loss 1.7333 (2.1826)	Prec@1 50.000 (44.886)	Prec@5 88.281 (75.525)
Epoch: [50][11910/14090]	Time 0.771 (0.766)	Data 0.001 (0.001)	Loss 2.0762 (2.1826)	Prec@1 46.875 (44.887)	Prec@5 76.562 (75.526)
Epoch: [50][11920/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.4812 (2.1827)	Prec@1 42.969 (44.887)	Prec@5 68.750 (75.525)
Epoch: [50][11930/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.5711 (2.1827)	Prec@1 41.406 (44.886)	Prec@5 71.875 (75.525)
Epoch: [50][11940/14090]	Time 0.776 (0.766)	Data 0.001 (0.001)	Loss 2.1025 (2.1826)	Prec@1 46.875 (44.886)	Prec@5 73.438 (75.526)
Epoch: [50][11950/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.1562 (2.1826)	Prec@1 44.531 (44.888)	Prec@5 78.125 (75.528)
Epoch: [50][11960/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.2648 (2.1826)	Prec@1 44.531 (44.888)	Prec@5 77.344 (75.528)
Epoch: [50][11970/14090]	Time 0.867 (0.766)	Data 0.001 (0.001)	Loss 2.1342 (2.1826)	Prec@1 49.219 (44.889)	Prec@5 75.781 (75.528)
Epoch: [50][11980/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.1346 (2.1826)	Prec@1 49.219 (44.890)	Prec@5 75.781 (75.528)
Epoch: [50][11990/14090]	Time 0.775 (0.766)	Data 0.001 (0.001)	Loss 2.2898 (2.1826)	Prec@1 42.969 (44.890)	Prec@5 69.531 (75.529)
Epoch: [50][12000/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.1915 (2.1826)	Prec@1 39.844 (44.889)	Prec@5 72.656 (75.528)
Epoch: [50][12010/14090]	Time 0.775 (0.766)	Data 0.001 (0.001)	Loss 1.9419 (2.1826)	Prec@1 52.344 (44.888)	Prec@5 82.031 (75.529)
Epoch: [50][12020/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.4388 (2.1827)	Prec@1 43.750 (44.887)	Prec@5 69.531 (75.530)
Epoch: [50][12030/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.2086 (2.1827)	Prec@1 39.844 (44.886)	Prec@5 72.656 (75.529)
Epoch: [50][12040/14090]	Time 0.873 (0.766)	Data 0.001 (0.001)	Loss 2.4906 (2.1828)	Prec@1 41.406 (44.886)	Prec@5 67.969 (75.528)
Epoch: [50][12050/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.0249 (2.1828)	Prec@1 47.656 (44.885)	Prec@5 79.688 (75.528)
Epoch: [50][12060/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.2051 (2.1828)	Prec@1 40.625 (44.885)	Prec@5 71.875 (75.527)
Epoch: [50][12070/14090]	Time 0.789 (0.766)	Data 0.001 (0.001)	Loss 2.2659 (2.1828)	Prec@1 46.094 (44.885)	Prec@5 74.219 (75.527)
Epoch: [50][12080/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.3033 (2.1828)	Prec@1 40.625 (44.885)	Prec@5 73.438 (75.527)
Epoch: [50][12090/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.0675 (2.1828)	Prec@1 43.750 (44.885)	Prec@5 77.344 (75.526)
Epoch: [50][12100/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.2228 (2.1829)	Prec@1 35.938 (44.885)	Prec@5 75.781 (75.525)
Epoch: [50][12110/14090]	Time 0.876 (0.766)	Data 0.001 (0.001)	Loss 2.1455 (2.1829)	Prec@1 46.094 (44.884)	Prec@5 76.562 (75.524)
Epoch: [50][12120/14090]	Time 0.722 (0.766)	Data 0.001 (0.001)	Loss 2.4665 (2.1830)	Prec@1 39.844 (44.883)	Prec@5 67.969 (75.522)
Epoch: [50][12130/14090]	Time 0.777 (0.766)	Data 0.001 (0.001)	Loss 2.2759 (2.1830)	Prec@1 44.531 (44.882)	Prec@5 71.875 (75.521)
Epoch: [50][12140/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 1.9183 (2.1830)	Prec@1 52.344 (44.881)	Prec@5 82.031 (75.521)
Epoch: [50][12150/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.3336 (2.1830)	Prec@1 46.875 (44.881)	Prec@5 68.750 (75.521)
Epoch: [50][12160/14090]	Time 0.724 (0.766)	Data 0.001 (0.001)	Loss 2.1842 (2.1830)	Prec@1 44.531 (44.881)	Prec@5 75.781 (75.522)
Epoch: [50][12170/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.1309 (2.1830)	Prec@1 48.438 (44.881)	Prec@5 76.562 (75.523)
Epoch: [50][12180/14090]	Time 0.836 (0.766)	Data 0.001 (0.001)	Loss 2.0296 (2.1830)	Prec@1 50.781 (44.882)	Prec@5 75.000 (75.522)
Epoch: [50][12190/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.1372 (2.1830)	Prec@1 35.156 (44.883)	Prec@5 79.688 (75.523)
Epoch: [50][12200/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.2199 (2.1831)	Prec@1 42.188 (44.881)	Prec@5 74.219 (75.521)
Epoch: [50][12210/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 1.8515 (2.1831)	Prec@1 46.094 (44.881)	Prec@5 86.719 (75.522)
Epoch: [50][12220/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.2533 (2.1831)	Prec@1 42.969 (44.882)	Prec@5 74.219 (75.521)
Epoch: [50][12230/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.3646 (2.1831)	Prec@1 42.969 (44.882)	Prec@5 68.750 (75.520)
Epoch: [50][12240/14090]	Time 0.722 (0.766)	Data 0.001 (0.001)	Loss 2.0489 (2.1831)	Prec@1 46.875 (44.882)	Prec@5 78.906 (75.520)
Epoch: [50][12250/14090]	Time 0.890 (0.766)	Data 0.001 (0.001)	Loss 2.0642 (2.1831)	Prec@1 41.406 (44.881)	Prec@5 79.688 (75.521)
Epoch: [50][12260/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.2415 (2.1831)	Prec@1 46.094 (44.882)	Prec@5 73.438 (75.520)
Epoch: [50][12270/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.1192 (2.1831)	Prec@1 46.094 (44.882)	Prec@5 82.812 (75.520)
Epoch: [50][12280/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.2086 (2.1831)	Prec@1 45.312 (44.882)	Prec@5 71.875 (75.519)
Epoch: [50][12290/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 1.9027 (2.1831)	Prec@1 55.469 (44.882)	Prec@5 81.250 (75.520)
Epoch: [50][12300/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.5597 (2.1831)	Prec@1 38.281 (44.884)	Prec@5 65.625 (75.520)
Epoch: [50][12310/14090]	Time 0.772 (0.766)	Data 0.001 (0.001)	Loss 2.2879 (2.1830)	Prec@1 46.875 (44.885)	Prec@5 77.344 (75.520)
Epoch: [50][12320/14090]	Time 0.900 (0.766)	Data 0.001 (0.001)	Loss 2.1976 (2.1830)	Prec@1 44.531 (44.886)	Prec@5 71.875 (75.520)
Epoch: [50][12330/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.2533 (2.1830)	Prec@1 46.094 (44.885)	Prec@5 68.750 (75.519)
Epoch: [50][12340/14090]	Time 0.773 (0.766)	Data 0.001 (0.001)	Loss 2.2244 (2.1831)	Prec@1 49.219 (44.885)	Prec@5 69.531 (75.518)
Epoch: [50][12350/14090]	Time 0.783 (0.766)	Data 0.001 (0.001)	Loss 2.3045 (2.1831)	Prec@1 42.969 (44.884)	Prec@5 70.312 (75.517)
Epoch: [50][12360/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 1.9206 (2.1830)	Prec@1 49.219 (44.884)	Prec@5 78.906 (75.517)
Epoch: [50][12370/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 1.9049 (2.1831)	Prec@1 47.656 (44.884)	Prec@5 82.031 (75.517)
Epoch: [50][12380/14090]	Time 0.785 (0.766)	Data 0.001 (0.001)	Loss 2.3544 (2.1831)	Prec@1 42.969 (44.883)	Prec@5 71.875 (75.518)
Epoch: [50][12390/14090]	Time 0.840 (0.766)	Data 0.001 (0.001)	Loss 2.3044 (2.1831)	Prec@1 46.094 (44.883)	Prec@5 78.125 (75.518)
Epoch: [50][12400/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 2.2397 (2.1831)	Prec@1 42.969 (44.882)	Prec@5 76.562 (75.517)
Epoch: [50][12410/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.4339 (2.1832)	Prec@1 42.188 (44.881)	Prec@5 68.750 (75.514)
Epoch: [50][12420/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.0704 (2.1832)	Prec@1 46.094 (44.882)	Prec@5 81.250 (75.516)
Epoch: [50][12430/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.1110 (2.1831)	Prec@1 39.062 (44.881)	Prec@5 75.000 (75.518)
Epoch: [50][12440/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.0560 (2.1831)	Prec@1 46.094 (44.881)	Prec@5 75.000 (75.518)
Epoch: [50][12450/14090]	Time 0.776 (0.766)	Data 0.001 (0.001)	Loss 1.7856 (2.1831)	Prec@1 48.438 (44.879)	Prec@5 80.469 (75.518)
Epoch: [50][12460/14090]	Time 0.849 (0.766)	Data 0.001 (0.001)	Loss 2.1750 (2.1831)	Prec@1 46.875 (44.881)	Prec@5 77.344 (75.518)
Epoch: [50][12470/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.0302 (2.1830)	Prec@1 52.344 (44.882)	Prec@5 77.344 (75.519)
Epoch: [50][12480/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.4043 (2.1831)	Prec@1 41.406 (44.880)	Prec@5 70.312 (75.517)
Epoch: [50][12490/14090]	Time 0.767 (0.766)	Data 0.001 (0.001)	Loss 2.2934 (2.1831)	Prec@1 43.750 (44.880)	Prec@5 71.094 (75.516)
Epoch: [50][12500/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.1731 (2.1831)	Prec@1 39.844 (44.881)	Prec@5 75.781 (75.517)
Epoch: [50][12510/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.6187 (2.1831)	Prec@1 39.844 (44.881)	Prec@5 65.625 (75.515)
Epoch: [50][12520/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.3069 (2.1832)	Prec@1 43.750 (44.880)	Prec@5 69.531 (75.514)
Epoch: [50][12530/14090]	Time 0.868 (0.766)	Data 0.001 (0.001)	Loss 2.1461 (2.1831)	Prec@1 42.188 (44.880)	Prec@5 78.906 (75.515)
Epoch: [50][12540/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.3357 (2.1832)	Prec@1 41.406 (44.879)	Prec@5 71.875 (75.515)
Epoch: [50][12550/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.2328 (2.1831)	Prec@1 47.656 (44.879)	Prec@5 73.438 (75.515)
Epoch: [50][12560/14090]	Time 0.789 (0.766)	Data 0.001 (0.001)	Loss 1.9862 (2.1831)	Prec@1 52.344 (44.880)	Prec@5 78.906 (75.515)
Epoch: [50][12570/14090]	Time 0.775 (0.766)	Data 0.001 (0.001)	Loss 2.2111 (2.1831)	Prec@1 48.438 (44.881)	Prec@5 79.688 (75.515)
Epoch: [50][12580/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.3379 (2.1832)	Prec@1 39.844 (44.879)	Prec@5 73.438 (75.514)
Epoch: [50][12590/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.1332 (2.1832)	Prec@1 42.188 (44.878)	Prec@5 74.219 (75.514)
Epoch: [50][12600/14090]	Time 0.869 (0.766)	Data 0.001 (0.001)	Loss 2.3023 (2.1831)	Prec@1 44.531 (44.879)	Prec@5 72.656 (75.514)
Epoch: [50][12610/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 2.1762 (2.1831)	Prec@1 42.969 (44.879)	Prec@5 74.219 (75.514)
Epoch: [50][12620/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.2210 (2.1832)	Prec@1 44.531 (44.878)	Prec@5 72.656 (75.513)
Epoch: [50][12630/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.0294 (2.1832)	Prec@1 50.000 (44.879)	Prec@5 78.906 (75.513)
Epoch: [50][12640/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.2681 (2.1831)	Prec@1 47.656 (44.880)	Prec@5 74.219 (75.513)
Epoch: [50][12650/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.2914 (2.1831)	Prec@1 47.656 (44.880)	Prec@5 72.656 (75.513)
Epoch: [50][12660/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.1616 (2.1831)	Prec@1 46.094 (44.880)	Prec@5 73.438 (75.512)
Epoch: [50][12670/14090]	Time 0.836 (0.766)	Data 0.001 (0.001)	Loss 1.8478 (2.1830)	Prec@1 54.688 (44.881)	Prec@5 80.469 (75.513)
Epoch: [50][12680/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 1.8914 (2.1830)	Prec@1 53.125 (44.880)	Prec@5 78.906 (75.514)
Epoch: [50][12690/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.0652 (2.1830)	Prec@1 45.312 (44.881)	Prec@5 75.781 (75.515)
Epoch: [50][12700/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.3362 (2.1830)	Prec@1 42.188 (44.879)	Prec@5 71.094 (75.514)
Epoch: [50][12710/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.0695 (2.1831)	Prec@1 42.969 (44.878)	Prec@5 79.688 (75.514)
Epoch: [50][12720/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.1899 (2.1832)	Prec@1 37.500 (44.875)	Prec@5 75.781 (75.512)
Epoch: [50][12730/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.2975 (2.1832)	Prec@1 45.312 (44.875)	Prec@5 70.312 (75.512)
Epoch: [50][12740/14090]	Time 0.883 (0.766)	Data 0.001 (0.001)	Loss 2.2438 (2.1832)	Prec@1 42.188 (44.874)	Prec@5 75.000 (75.512)
Epoch: [50][12750/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.3415 (2.1833)	Prec@1 43.750 (44.873)	Prec@5 74.219 (75.510)
Epoch: [50][12760/14090]	Time 0.780 (0.766)	Data 0.001 (0.001)	Loss 2.1946 (2.1833)	Prec@1 44.531 (44.873)	Prec@5 78.125 (75.511)
Epoch: [50][12770/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.3696 (2.1833)	Prec@1 39.844 (44.873)	Prec@5 74.219 (75.511)
Epoch: [50][12780/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 1.9764 (2.1833)	Prec@1 53.125 (44.874)	Prec@5 80.469 (75.511)
Epoch: [50][12790/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.3155 (2.1834)	Prec@1 45.312 (44.873)	Prec@5 74.219 (75.511)
Epoch: [50][12800/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.3241 (2.1834)	Prec@1 39.062 (44.873)	Prec@5 73.438 (75.510)
Epoch: [50][12810/14090]	Time 0.843 (0.766)	Data 0.001 (0.001)	Loss 2.2853 (2.1834)	Prec@1 43.750 (44.873)	Prec@5 74.219 (75.510)
Epoch: [50][12820/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.4607 (2.1834)	Prec@1 38.281 (44.871)	Prec@5 71.094 (75.508)
Epoch: [50][12830/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.0730 (2.1834)	Prec@1 39.844 (44.872)	Prec@5 74.219 (75.510)
Epoch: [50][12840/14090]	Time 0.723 (0.766)	Data 0.001 (0.001)	Loss 2.2458 (2.1833)	Prec@1 42.969 (44.873)	Prec@5 76.562 (75.511)
Epoch: [50][12850/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.2956 (2.1833)	Prec@1 39.844 (44.873)	Prec@5 75.000 (75.511)
Epoch: [50][12860/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.4142 (2.1834)	Prec@1 39.844 (44.872)	Prec@5 69.531 (75.511)
Epoch: [50][12870/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.2404 (2.1834)	Prec@1 47.656 (44.871)	Prec@5 75.781 (75.511)
Epoch: [50][12880/14090]	Time 0.852 (0.766)	Data 0.001 (0.001)	Loss 2.3481 (2.1835)	Prec@1 44.531 (44.870)	Prec@5 71.094 (75.511)
Epoch: [50][12890/14090]	Time 0.717 (0.766)	Data 0.001 (0.001)	Loss 2.1727 (2.1834)	Prec@1 43.750 (44.872)	Prec@5 75.000 (75.512)
Epoch: [50][12900/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.2596 (2.1835)	Prec@1 40.625 (44.872)	Prec@5 71.875 (75.512)
Epoch: [50][12910/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.3134 (2.1834)	Prec@1 39.062 (44.873)	Prec@5 74.219 (75.511)
Epoch: [50][12920/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.1796 (2.1834)	Prec@1 45.312 (44.873)	Prec@5 78.125 (75.511)
Epoch: [50][12930/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.2010 (2.1835)	Prec@1 50.781 (44.872)	Prec@5 74.219 (75.510)
Epoch: [50][12940/14090]	Time 0.775 (0.766)	Data 0.001 (0.001)	Loss 2.6138 (2.1836)	Prec@1 41.406 (44.871)	Prec@5 70.312 (75.509)
Epoch: [50][12950/14090]	Time 0.836 (0.766)	Data 0.001 (0.001)	Loss 2.5318 (2.1836)	Prec@1 39.062 (44.869)	Prec@5 70.312 (75.509)
Epoch: [50][12960/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.5256 (2.1836)	Prec@1 39.062 (44.870)	Prec@5 68.750 (75.509)
Epoch: [50][12970/14090]	Time 0.719 (0.766)	Data 0.001 (0.001)	Loss 2.2637 (2.1836)	Prec@1 43.750 (44.869)	Prec@5 66.406 (75.507)
Epoch: [50][12980/14090]	Time 0.772 (0.766)	Data 0.001 (0.001)	Loss 2.2277 (2.1836)	Prec@1 47.656 (44.869)	Prec@5 74.219 (75.507)
Epoch: [50][12990/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.2805 (2.1836)	Prec@1 40.625 (44.871)	Prec@5 72.656 (75.508)
Epoch: [50][13000/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.2063 (2.1836)	Prec@1 43.750 (44.869)	Prec@5 75.781 (75.508)
Epoch: [50][13010/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 1.9798 (2.1836)	Prec@1 49.219 (44.870)	Prec@5 75.000 (75.508)
Epoch: [50][13020/14090]	Time 0.847 (0.766)	Data 0.001 (0.001)	Loss 2.2690 (2.1836)	Prec@1 43.750 (44.870)	Prec@5 71.094 (75.507)
Epoch: [50][13030/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.2448 (2.1836)	Prec@1 42.969 (44.869)	Prec@5 71.094 (75.507)
Epoch: [50][13040/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.0090 (2.1835)	Prec@1 48.438 (44.872)	Prec@5 78.906 (75.508)
Epoch: [50][13050/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 1.9744 (2.1835)	Prec@1 46.094 (44.872)	Prec@5 82.031 (75.508)
Epoch: [50][13060/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 1.9663 (2.1835)	Prec@1 48.438 (44.873)	Prec@5 80.469 (75.510)
Epoch: [50][13070/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.3577 (2.1835)	Prec@1 39.062 (44.874)	Prec@5 69.531 (75.509)
Epoch: [50][13080/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.3449 (2.1835)	Prec@1 44.531 (44.873)	Prec@5 74.219 (75.509)
Epoch: [50][13090/14090]	Time 0.870 (0.766)	Data 0.001 (0.001)	Loss 2.2556 (2.1835)	Prec@1 44.531 (44.875)	Prec@5 75.000 (75.510)
Epoch: [50][13100/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.0115 (2.1834)	Prec@1 45.312 (44.876)	Prec@5 82.031 (75.511)
Epoch: [50][13110/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 1.8966 (2.1833)	Prec@1 48.438 (44.877)	Prec@5 79.688 (75.513)
Epoch: [50][13120/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 1.7956 (2.1833)	Prec@1 57.812 (44.878)	Prec@5 78.906 (75.514)
Epoch: [50][13130/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.4002 (2.1833)	Prec@1 38.281 (44.877)	Prec@5 68.750 (75.513)
Epoch: [50][13140/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.3925 (2.1833)	Prec@1 44.531 (44.877)	Prec@5 68.750 (75.512)
Epoch: [50][13150/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.2154 (2.1833)	Prec@1 35.156 (44.876)	Prec@5 78.906 (75.512)
Epoch: [50][13160/14090]	Time 0.896 (0.766)	Data 0.001 (0.001)	Loss 1.8939 (2.1833)	Prec@1 50.000 (44.877)	Prec@5 77.344 (75.512)
Epoch: [50][13170/14090]	Time 0.720 (0.766)	Data 0.001 (0.001)	Loss 2.0885 (2.1833)	Prec@1 45.312 (44.876)	Prec@5 77.344 (75.511)
Epoch: [50][13180/14090]	Time 0.777 (0.766)	Data 0.001 (0.001)	Loss 1.9969 (2.1833)	Prec@1 45.312 (44.875)	Prec@5 74.219 (75.510)
Epoch: [50][13190/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.3647 (2.1834)	Prec@1 39.062 (44.874)	Prec@5 67.969 (75.509)
Epoch: [50][13200/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 1.9083 (2.1834)	Prec@1 42.969 (44.873)	Prec@5 83.594 (75.509)
Epoch: [50][13210/14090]	Time 0.780 (0.766)	Data 0.001 (0.001)	Loss 2.3233 (2.1834)	Prec@1 38.281 (44.872)	Prec@5 73.438 (75.509)
Epoch: [50][13220/14090]	Time 0.724 (0.766)	Data 0.001 (0.001)	Loss 2.6339 (2.1834)	Prec@1 41.406 (44.872)	Prec@5 69.531 (75.508)
Epoch: [50][13230/14090]	Time 0.874 (0.766)	Data 0.001 (0.001)	Loss 2.3903 (2.1835)	Prec@1 42.969 (44.872)	Prec@5 69.531 (75.508)
Epoch: [50][13240/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.2147 (2.1835)	Prec@1 42.188 (44.870)	Prec@5 75.000 (75.505)
Epoch: [50][13250/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.0940 (2.1836)	Prec@1 51.562 (44.869)	Prec@5 73.438 (75.505)
Epoch: [50][13260/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.3150 (2.1836)	Prec@1 46.094 (44.869)	Prec@5 72.656 (75.505)
Epoch: [50][13270/14090]	Time 0.767 (0.766)	Data 0.001 (0.001)	Loss 2.4094 (2.1836)	Prec@1 39.062 (44.870)	Prec@5 73.438 (75.504)
Epoch: [50][13280/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.3972 (2.1837)	Prec@1 42.969 (44.869)	Prec@5 71.875 (75.503)
Epoch: [50][13290/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 1.8509 (2.1836)	Prec@1 53.125 (44.869)	Prec@5 83.594 (75.504)
Epoch: [50][13300/14090]	Time 0.843 (0.766)	Data 0.001 (0.001)	Loss 1.9305 (2.1836)	Prec@1 46.094 (44.870)	Prec@5 80.469 (75.505)
Epoch: [50][13310/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 1.9796 (2.1836)	Prec@1 45.312 (44.870)	Prec@5 82.031 (75.506)
Epoch: [50][13320/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.2332 (2.1836)	Prec@1 44.531 (44.869)	Prec@5 75.781 (75.506)
Epoch: [50][13330/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.0649 (2.1836)	Prec@1 46.094 (44.869)	Prec@5 80.469 (75.506)
Epoch: [50][13340/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.1608 (2.1837)	Prec@1 49.219 (44.868)	Prec@5 75.000 (75.504)
Epoch: [50][13350/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.2771 (2.1837)	Prec@1 42.188 (44.870)	Prec@5 72.656 (75.504)
Epoch: [50][13360/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.0099 (2.1836)	Prec@1 55.469 (44.870)	Prec@5 82.812 (75.504)
Epoch: [50][13370/14090]	Time 0.836 (0.766)	Data 0.001 (0.001)	Loss 2.3046 (2.1836)	Prec@1 42.969 (44.872)	Prec@5 71.875 (75.504)
Epoch: [50][13380/14090]	Time 0.786 (0.766)	Data 0.001 (0.001)	Loss 2.3215 (2.1836)	Prec@1 39.844 (44.872)	Prec@5 71.094 (75.505)
Epoch: [50][13390/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 2.0629 (2.1836)	Prec@1 46.875 (44.873)	Prec@5 75.781 (75.505)
Epoch: [50][13400/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.0308 (2.1836)	Prec@1 48.438 (44.873)	Prec@5 76.562 (75.504)
Epoch: [50][13410/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 1.9536 (2.1836)	Prec@1 47.656 (44.873)	Prec@5 78.125 (75.505)
Epoch: [50][13420/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 1.9830 (2.1836)	Prec@1 50.781 (44.872)	Prec@5 79.688 (75.504)
Epoch: [50][13430/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 2.1503 (2.1836)	Prec@1 51.562 (44.873)	Prec@5 74.219 (75.503)
Epoch: [50][13440/14090]	Time 0.856 (0.766)	Data 0.001 (0.001)	Loss 2.2831 (2.1835)	Prec@1 44.531 (44.873)	Prec@5 71.875 (75.504)
Epoch: [50][13450/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.2228 (2.1835)	Prec@1 39.844 (44.873)	Prec@5 78.906 (75.505)
Epoch: [50][13460/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 1.8399 (2.1835)	Prec@1 50.000 (44.873)	Prec@5 85.938 (75.506)
Epoch: [50][13470/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.3293 (2.1834)	Prec@1 39.844 (44.874)	Prec@5 72.656 (75.507)
Epoch: [50][13480/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.1744 (2.1835)	Prec@1 46.094 (44.873)	Prec@5 74.219 (75.505)
Epoch: [50][13490/14090]	Time 0.774 (0.766)	Data 0.001 (0.001)	Loss 2.3886 (2.1836)	Prec@1 43.750 (44.871)	Prec@5 69.531 (75.505)
Epoch: [50][13500/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.2504 (2.1836)	Prec@1 45.312 (44.870)	Prec@5 77.344 (75.504)
Epoch: [50][13510/14090]	Time 0.886 (0.766)	Data 0.001 (0.001)	Loss 2.2057 (2.1836)	Prec@1 41.406 (44.869)	Prec@5 78.906 (75.503)
Epoch: [50][13520/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.2610 (2.1836)	Prec@1 45.312 (44.870)	Prec@5 70.312 (75.502)
Epoch: [50][13530/14090]	Time 0.777 (0.766)	Data 0.001 (0.001)	Loss 2.1211 (2.1837)	Prec@1 40.625 (44.868)	Prec@5 76.562 (75.502)
Epoch: [50][13540/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 1.9586 (2.1836)	Prec@1 50.781 (44.868)	Prec@5 81.250 (75.502)
Epoch: [50][13550/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.2192 (2.1836)	Prec@1 46.094 (44.867)	Prec@5 72.656 (75.502)
Epoch: [50][13560/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.2232 (2.1837)	Prec@1 46.875 (44.868)	Prec@5 73.438 (75.501)
Epoch: [50][13570/14090]	Time 0.720 (0.766)	Data 0.001 (0.001)	Loss 2.2111 (2.1836)	Prec@1 46.875 (44.867)	Prec@5 77.344 (75.501)
Epoch: [50][13580/14090]	Time 0.847 (0.766)	Data 0.001 (0.001)	Loss 2.3556 (2.1836)	Prec@1 39.062 (44.867)	Prec@5 69.531 (75.501)
Epoch: [50][13590/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.0533 (2.1835)	Prec@1 45.312 (44.868)	Prec@5 79.688 (75.502)
Epoch: [50][13600/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.3371 (2.1836)	Prec@1 39.062 (44.868)	Prec@5 72.656 (75.502)
Epoch: [50][13610/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 2.0603 (2.1836)	Prec@1 43.750 (44.866)	Prec@5 79.688 (75.501)
Epoch: [50][13620/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.0564 (2.1836)	Prec@1 48.438 (44.867)	Prec@5 78.125 (75.502)
Epoch: [50][13630/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 2.2021 (2.1836)	Prec@1 39.844 (44.866)	Prec@5 72.656 (75.502)
Epoch: [50][13640/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.3717 (2.1836)	Prec@1 44.531 (44.866)	Prec@5 71.875 (75.502)
Epoch: [50][13650/14090]	Time 0.938 (0.766)	Data 0.001 (0.001)	Loss 2.2695 (2.1836)	Prec@1 39.844 (44.867)	Prec@5 72.656 (75.503)
Epoch: [50][13660/14090]	Time 0.723 (0.766)	Data 0.001 (0.001)	Loss 2.2123 (2.1835)	Prec@1 42.969 (44.867)	Prec@5 76.562 (75.503)
Epoch: [50][13670/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.0933 (2.1835)	Prec@1 49.219 (44.868)	Prec@5 76.562 (75.502)
Epoch: [50][13680/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.2869 (2.1835)	Prec@1 45.312 (44.868)	Prec@5 77.344 (75.501)
Epoch: [50][13690/14090]	Time 0.780 (0.766)	Data 0.001 (0.001)	Loss 1.9946 (2.1835)	Prec@1 43.750 (44.868)	Prec@5 85.156 (75.503)
Epoch: [50][13700/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.2094 (2.1835)	Prec@1 45.312 (44.869)	Prec@5 75.781 (75.503)
Epoch: [50][13710/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.3261 (2.1835)	Prec@1 42.969 (44.869)	Prec@5 67.969 (75.502)
Epoch: [50][13720/14090]	Time 0.898 (0.766)	Data 0.001 (0.001)	Loss 2.3949 (2.1835)	Prec@1 39.062 (44.869)	Prec@5 67.969 (75.501)
Epoch: [50][13730/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 1.9408 (2.1836)	Prec@1 50.781 (44.868)	Prec@5 77.344 (75.500)
Epoch: [50][13740/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.1134 (2.1836)	Prec@1 42.188 (44.867)	Prec@5 78.906 (75.501)
Epoch: [50][13750/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.2875 (2.1836)	Prec@1 41.406 (44.868)	Prec@5 73.438 (75.500)
Epoch: [50][13760/14090]	Time 0.775 (0.766)	Data 0.001 (0.001)	Loss 2.0932 (2.1835)	Prec@1 41.406 (44.868)	Prec@5 75.781 (75.500)
Epoch: [50][13770/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.1549 (2.1836)	Prec@1 44.531 (44.868)	Prec@5 75.000 (75.498)
Epoch: [50][13780/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.0641 (2.1836)	Prec@1 47.656 (44.869)	Prec@5 78.125 (75.499)
Epoch: [50][13790/14090]	Time 0.870 (0.766)	Data 0.001 (0.001)	Loss 2.2192 (2.1836)	Prec@1 44.531 (44.869)	Prec@5 75.000 (75.498)
Epoch: [50][13800/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.2532 (2.1836)	Prec@1 42.969 (44.870)	Prec@5 74.219 (75.497)
Epoch: [50][13810/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 1.9237 (2.1836)	Prec@1 50.781 (44.867)	Prec@5 82.031 (75.496)
Epoch: [50][13820/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.3338 (2.1836)	Prec@1 37.500 (44.866)	Prec@5 71.094 (75.496)
Epoch: [50][13830/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.2590 (2.1836)	Prec@1 40.625 (44.866)	Prec@5 69.531 (75.495)
Epoch: [50][13840/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.1406 (2.1836)	Prec@1 43.750 (44.867)	Prec@5 77.344 (75.494)
Epoch: [50][13850/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 1.8886 (2.1836)	Prec@1 50.000 (44.867)	Prec@5 85.156 (75.495)
Epoch: [50][13860/14090]	Time 0.900 (0.766)	Data 0.001 (0.001)	Loss 2.0909 (2.1836)	Prec@1 45.312 (44.867)	Prec@5 72.656 (75.496)
Epoch: [50][13870/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 1.8663 (2.1835)	Prec@1 50.781 (44.866)	Prec@5 83.594 (75.497)
Epoch: [50][13880/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.2858 (2.1836)	Prec@1 42.188 (44.867)	Prec@5 75.000 (75.496)
Epoch: [50][13890/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.2820 (2.1836)	Prec@1 40.625 (44.867)	Prec@5 75.781 (75.496)
Epoch: [50][13900/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.1462 (2.1836)	Prec@1 49.219 (44.868)	Prec@5 76.562 (75.495)
Epoch: [50][13910/14090]	Time 0.776 (0.766)	Data 0.001 (0.001)	Loss 2.3758 (2.1836)	Prec@1 40.625 (44.867)	Prec@5 74.219 (75.495)
Epoch: [50][13920/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.2176 (2.1836)	Prec@1 48.438 (44.867)	Prec@5 73.438 (75.494)
Epoch: [50][13930/14090]	Time 0.878 (0.766)	Data 0.001 (0.001)	Loss 2.0334 (2.1837)	Prec@1 46.094 (44.866)	Prec@5 78.906 (75.494)
Epoch: [50][13940/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 1.9742 (2.1836)	Prec@1 43.750 (44.866)	Prec@5 78.125 (75.495)
Epoch: [50][13950/14090]	Time 0.778 (0.766)	Data 0.001 (0.001)	Loss 2.2313 (2.1836)	Prec@1 41.406 (44.865)	Prec@5 72.656 (75.495)
Epoch: [50][13960/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 1.9969 (2.1836)	Prec@1 47.656 (44.866)	Prec@5 81.250 (75.495)
Epoch: [50][13970/14090]	Time 0.779 (0.766)	Data 0.001 (0.001)	Loss 2.3010 (2.1836)	Prec@1 39.062 (44.866)	Prec@5 78.125 (75.495)
Epoch: [50][13980/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.3066 (2.1836)	Prec@1 42.188 (44.866)	Prec@5 71.875 (75.495)
Epoch: [50][13990/14090]	Time 0.778 (0.766)	Data 0.001 (0.001)	Loss 2.2711 (2.1836)	Prec@1 50.000 (44.867)	Prec@5 75.781 (75.495)
Epoch: [50][14000/14090]	Time 0.868 (0.766)	Data 0.001 (0.001)	Loss 2.0955 (2.1835)	Prec@1 43.750 (44.868)	Prec@5 76.562 (75.495)
Epoch: [50][14010/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 2.4129 (2.1835)	Prec@1 43.750 (44.868)	Prec@5 70.312 (75.495)
Epoch: [50][14020/14090]	Time 0.784 (0.766)	Data 0.001 (0.001)	Loss 2.0245 (2.1835)	Prec@1 48.438 (44.868)	Prec@5 79.688 (75.496)
Epoch: [50][14030/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.2186 (2.1835)	Prec@1 43.750 (44.868)	Prec@5 75.000 (75.496)
Epoch: [50][14040/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.2592 (2.1835)	Prec@1 44.531 (44.867)	Prec@5 75.000 (75.495)
Epoch: [50][14050/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.2072 (2.1836)	Prec@1 39.062 (44.866)	Prec@5 76.562 (75.495)
Epoch: [50][14060/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.2219 (2.1835)	Prec@1 41.406 (44.864)	Prec@5 75.000 (75.496)
Epoch: [50][14070/14090]	Time 0.885 (0.766)	Data 0.001 (0.001)	Loss 2.2558 (2.1835)	Prec@1 43.750 (44.864)	Prec@5 74.219 (75.496)
Epoch: [50][14080/14090]	Time 0.737 (0.766)	Data 0.000 (0.001)	Loss 2.2134 (2.1836)	Prec@1 41.406 (44.863)	Prec@5 72.656 (75.495)
Test: [0/286]	Time 4.612 (4.612)	Loss 1.1385 (1.1385)	Prec@1 68.750 (68.750)	Prec@5 94.531 (94.531)
Test: [10/286]	Time 0.355 (0.795)	Loss 2.0023 (1.9421)	Prec@1 43.750 (51.349)	Prec@5 84.375 (81.250)
Test: [20/286]	Time 0.239 (0.608)	Loss 1.2348 (1.8287)	Prec@1 69.531 (52.604)	Prec@5 95.312 (83.519)
Test: [30/286]	Time 0.248 (0.542)	Loss 2.1081 (1.7854)	Prec@1 44.531 (53.780)	Prec@5 78.906 (83.443)
Test: [40/286]	Time 1.466 (0.543)	Loss 2.0233 (1.8169)	Prec@1 44.531 (52.744)	Prec@5 82.812 (83.079)
Test: [50/286]	Time 0.260 (0.518)	Loss 0.4782 (1.8209)	Prec@1 90.625 (52.589)	Prec@5 95.312 (82.736)
Test: [60/286]	Time 0.358 (0.500)	Loss 2.9949 (1.8711)	Prec@1 30.469 (51.742)	Prec@5 61.719 (81.263)
Test: [70/286]	Time 0.226 (0.483)	Loss 1.3047 (1.8511)	Prec@1 68.750 (52.333)	Prec@5 89.844 (81.679)
Test: [80/286]	Time 1.758 (0.494)	Loss 2.4018 (1.8864)	Prec@1 38.281 (51.186)	Prec@5 77.344 (81.250)
Test: [90/286]	Time 0.238 (0.484)	Loss 2.4314 (1.9014)	Prec@1 39.844 (50.841)	Prec@5 75.000 (81.113)
Test: [100/286]	Time 0.249 (0.475)	Loss 2.3864 (1.9159)	Prec@1 36.719 (50.441)	Prec@5 75.000 (81.273)
Test: [110/286]	Time 0.320 (0.470)	Loss 2.1297 (1.9320)	Prec@1 45.312 (49.944)	Prec@5 76.562 (81.250)
Test: [120/286]	Time 1.758 (0.478)	Loss 1.6401 (1.9240)	Prec@1 58.594 (50.103)	Prec@5 78.906 (81.308)
Test: [130/286]	Time 0.244 (0.472)	Loss 1.1391 (1.9131)	Prec@1 66.406 (50.364)	Prec@5 93.750 (81.489)
Test: [140/286]	Time 0.260 (0.467)	Loss 2.1849 (1.9083)	Prec@1 53.125 (50.499)	Prec@5 71.875 (81.455)
Test: [150/286]	Time 0.230 (0.462)	Loss 2.6540 (1.9182)	Prec@1 25.781 (49.964)	Prec@5 72.656 (81.410)
Test: [160/286]	Time 1.930 (0.470)	Loss 3.1360 (1.9098)	Prec@1 18.750 (50.112)	Prec@5 54.688 (81.459)
Test: [170/286]	Time 0.354 (0.466)	Loss 1.7732 (1.8980)	Prec@1 53.906 (50.352)	Prec@5 82.031 (81.679)
Test: [180/286]	Time 0.258 (0.463)	Loss 1.9959 (1.9145)	Prec@1 58.594 (50.047)	Prec@5 75.000 (81.392)
Test: [190/286]	Time 0.223 (0.459)	Loss 2.9271 (1.9302)	Prec@1 16.406 (49.640)	Prec@5 69.531 (81.246)
Test: [200/286]	Time 1.718 (0.464)	Loss 1.8887 (1.9303)	Prec@1 57.031 (49.705)	Prec@5 85.156 (81.223)
Test: [210/286]	Time 0.301 (0.462)	Loss 2.3466 (1.9393)	Prec@1 37.500 (49.382)	Prec@5 78.906 (81.106)
Test: [220/286]	Time 0.224 (0.459)	Loss 2.8215 (1.9450)	Prec@1 25.000 (49.332)	Prec@5 66.406 (80.946)
Test: [230/286]	Time 0.225 (0.457)	Loss 1.2883 (1.9464)	Prec@1 64.062 (49.249)	Prec@5 89.062 (80.898)
Test: [240/286]	Time 1.684 (0.461)	Loss 2.0742 (1.9443)	Prec@1 46.875 (49.335)	Prec@5 83.594 (80.955)
Test: [250/286]	Time 0.238 (0.459)	Loss 2.1697 (1.9354)	Prec@1 45.312 (49.434)	Prec@5 78.125 (81.129)
Test: [260/286]	Time 0.239 (0.457)	Loss 1.5115 (1.9232)	Prec@1 57.031 (49.764)	Prec@5 89.062 (81.325)
Test: [270/286]	Time 0.420 (0.456)	Loss 1.4066 (1.9269)	Prec@1 64.062 (49.666)	Prec@5 91.406 (81.339)
Test: [280/286]	Time 1.446 (0.458)	Loss 1.7982 (1.9116)	Prec@1 56.250 (50.139)	Prec@5 88.281 (81.503)
 * Prec@1 50.295 Prec@5 81.531
Epoch: [51][0/14090]	Time 5.913 (5.913)	Data 5.120 (5.120)	Loss 1.9763 (1.9763)	Prec@1 45.312 (45.312)	Prec@5 80.469 (80.469)
Epoch: [51][10/14090]	Time 0.756 (1.215)	Data 0.001 (0.466)	Loss 2.1237 (2.1398)	Prec@1 42.188 (44.389)	Prec@5 78.906 (76.918)
Epoch: [51][20/14090]	Time 0.753 (0.998)	Data 0.001 (0.245)	Loss 2.3631 (2.1410)	Prec@1 42.188 (44.940)	Prec@5 69.531 (75.670)
Epoch: [51][30/14090]	Time 0.723 (0.916)	Data 0.001 (0.166)	Loss 2.0261 (2.1262)	Prec@1 46.094 (45.842)	Prec@5 78.906 (76.134)
Epoch: [51][40/14090]	Time 0.895 (0.882)	Data 0.001 (0.126)	Loss 2.2540 (2.1207)	Prec@1 46.094 (45.998)	Prec@5 76.562 (76.277)
Epoch: [51][50/14090]	Time 0.736 (0.859)	Data 0.001 (0.101)	Loss 2.1642 (2.1101)	Prec@1 46.875 (46.400)	Prec@5 72.656 (76.517)
Epoch: [51][60/14090]	Time 0.760 (0.842)	Data 0.001 (0.085)	Loss 2.1282 (2.1271)	Prec@1 43.750 (46.209)	Prec@5 76.562 (76.153)
Epoch: [51][70/14090]	Time 0.723 (0.831)	Data 0.001 (0.073)	Loss 2.2308 (2.1447)	Prec@1 46.094 (45.775)	Prec@5 73.438 (75.792)
Epoch: [51][80/14090]	Time 0.743 (0.822)	Data 0.001 (0.064)	Loss 2.1298 (2.1674)	Prec@1 44.531 (45.293)	Prec@5 78.906 (75.405)
Epoch: [51][90/14090]	Time 0.743 (0.817)	Data 0.001 (0.057)	Loss 2.0403 (2.1789)	Prec@1 50.000 (45.106)	Prec@5 78.125 (75.060)
Epoch: [51][100/14090]	Time 0.741 (0.812)	Data 0.001 (0.052)	Loss 2.0694 (2.1819)	Prec@1 50.781 (45.104)	Prec@5 82.031 (75.116)
Epoch: [51][110/14090]	Time 0.855 (0.808)	Data 0.001 (0.047)	Loss 1.9814 (2.1844)	Prec@1 50.781 (45.003)	Prec@5 81.250 (75.099)
Epoch: [51][120/14090]	Time 0.735 (0.804)	Data 0.001 (0.043)	Loss 2.1489 (2.1765)	Prec@1 47.656 (45.190)	Prec@5 75.781 (75.310)
Epoch: [51][130/14090]	Time 0.785 (0.801)	Data 0.001 (0.040)	Loss 2.1956 (2.1754)	Prec@1 47.656 (45.265)	Prec@5 75.000 (75.304)
Epoch: [51][140/14090]	Time 0.739 (0.799)	Data 0.001 (0.037)	Loss 2.1286 (2.1724)	Prec@1 44.531 (45.235)	Prec@5 78.125 (75.410)
Epoch: [51][150/14090]	Time 0.763 (0.798)	Data 0.001 (0.035)	Loss 2.1864 (2.1696)	Prec@1 48.438 (45.369)	Prec@5 74.219 (75.543)
Epoch: [51][160/14090]	Time 0.760 (0.797)	Data 0.001 (0.033)	Loss 2.2120 (2.1690)	Prec@1 47.656 (45.361)	Prec@5 75.000 (75.519)
Epoch: [51][170/14090]	Time 0.761 (0.794)	Data 0.001 (0.031)	Loss 2.2103 (2.1709)	Prec@1 42.969 (45.308)	Prec@5 79.688 (75.530)
Epoch: [51][180/14090]	Time 0.885 (0.794)	Data 0.001 (0.029)	Loss 2.1618 (2.1665)	Prec@1 44.531 (45.351)	Prec@5 75.000 (75.626)
Epoch: [51][190/14090]	Time 0.741 (0.792)	Data 0.001 (0.028)	Loss 1.9412 (2.1602)	Prec@1 45.312 (45.443)	Prec@5 84.375 (75.749)
Epoch: [51][200/14090]	Time 0.741 (0.791)	Data 0.001 (0.026)	Loss 1.9854 (2.1597)	Prec@1 46.094 (45.530)	Prec@5 76.562 (75.773)
Epoch: [51][210/14090]	Time 0.747 (0.790)	Data 0.001 (0.025)	Loss 1.9748 (2.1552)	Prec@1 48.438 (45.635)	Prec@5 81.250 (75.855)
Epoch: [51][220/14090]	Time 0.761 (0.789)	Data 0.001 (0.024)	Loss 2.1007 (2.1550)	Prec@1 42.969 (45.641)	Prec@5 75.000 (75.852)
Epoch: [51][230/14090]	Time 0.740 (0.788)	Data 0.001 (0.023)	Loss 2.0882 (2.1541)	Prec@1 49.219 (45.637)	Prec@5 72.656 (75.842)
Epoch: [51][240/14090]	Time 0.774 (0.787)	Data 0.001 (0.022)	Loss 1.8331 (2.1536)	Prec@1 57.031 (45.659)	Prec@5 82.812 (75.840)
Epoch: [51][250/14090]	Time 0.844 (0.787)	Data 0.001 (0.021)	Loss 2.1994 (2.1532)	Prec@1 46.875 (45.711)	Prec@5 75.000 (75.853)
Epoch: [51][260/14090]	Time 0.746 (0.786)	Data 0.001 (0.020)	Loss 1.9176 (2.1501)	Prec@1 50.000 (45.785)	Prec@5 82.031 (75.895)
Epoch: [51][270/14090]	Time 0.750 (0.785)	Data 0.002 (0.020)	Loss 2.2447 (2.1504)	Prec@1 37.500 (45.759)	Prec@5 72.656 (75.897)
Epoch: [51][280/14090]	Time 0.729 (0.785)	Data 0.001 (0.019)	Loss 2.2309 (2.1531)	Prec@1 46.094 (45.732)	Prec@5 73.438 (75.884)
Epoch: [51][290/14090]	Time 0.749 (0.784)	Data 0.001 (0.018)	Loss 2.4371 (2.1550)	Prec@1 45.312 (45.686)	Prec@5 72.656 (75.870)
Epoch: [51][300/14090]	Time 0.737 (0.784)	Data 0.001 (0.018)	Loss 2.2294 (2.1563)	Prec@1 41.406 (45.606)	Prec@5 75.781 (75.875)
Epoch: [51][310/14090]	Time 0.726 (0.783)	Data 0.001 (0.017)	Loss 2.0155 (2.1557)	Prec@1 46.875 (45.576)	Prec@5 79.688 (75.897)
Epoch: [51][320/14090]	Time 1.045 (0.783)	Data 0.001 (0.017)	Loss 2.5091 (2.1562)	Prec@1 39.062 (45.573)	Prec@5 66.406 (75.908)
Epoch: [51][330/14090]	Time 0.757 (0.782)	Data 0.001 (0.016)	Loss 2.2473 (2.1572)	Prec@1 46.875 (45.532)	Prec@5 68.750 (75.885)
Epoch: [51][340/14090]	Time 0.770 (0.782)	Data 0.002 (0.016)	Loss 2.2662 (2.1584)	Prec@1 40.625 (45.480)	Prec@5 72.656 (75.868)
Epoch: [51][350/14090]	Time 0.735 (0.782)	Data 0.001 (0.015)	Loss 2.1765 (2.1562)	Prec@1 48.438 (45.502)	Prec@5 73.438 (75.921)
Epoch: [51][360/14090]	Time 0.771 (0.781)	Data 0.001 (0.015)	Loss 2.5319 (2.1553)	Prec@1 40.625 (45.551)	Prec@5 73.438 (75.963)
Epoch: [51][370/14090]	Time 0.740 (0.781)	Data 0.001 (0.015)	Loss 1.9990 (2.1541)	Prec@1 50.781 (45.580)	Prec@5 78.125 (75.975)
Epoch: [51][380/14090]	Time 0.750 (0.781)	Data 0.001 (0.014)	Loss 2.2316 (2.1544)	Prec@1 39.844 (45.561)	Prec@5 75.000 (75.978)
Epoch: [51][390/14090]	Time 0.867 (0.780)	Data 0.001 (0.014)	Loss 2.4152 (2.1531)	Prec@1 40.625 (45.614)	Prec@5 75.000 (75.997)
Epoch: [51][400/14090]	Time 0.741 (0.780)	Data 0.001 (0.014)	Loss 2.0818 (2.1536)	Prec@1 48.438 (45.597)	Prec@5 77.344 (75.941)
Epoch: [51][410/14090]	Time 0.734 (0.779)	Data 0.001 (0.013)	Loss 1.9582 (2.1545)	Prec@1 48.438 (45.600)	Prec@5 76.562 (75.911)
Epoch: [51][420/14090]	Time 0.738 (0.779)	Data 0.001 (0.013)	Loss 2.2233 (2.1592)	Prec@1 38.281 (45.504)	Prec@5 78.125 (75.829)
Epoch: [51][430/14090]	Time 0.731 (0.779)	Data 0.001 (0.013)	Loss 2.1369 (2.1586)	Prec@1 46.094 (45.505)	Prec@5 78.125 (75.876)
Epoch: [51][440/14090]	Time 0.756 (0.779)	Data 0.001 (0.012)	Loss 2.2309 (2.1586)	Prec@1 46.094 (45.507)	Prec@5 76.562 (75.872)
Epoch: [51][450/14090]	Time 0.737 (0.778)	Data 0.001 (0.012)	Loss 2.1572 (2.1599)	Prec@1 42.188 (45.460)	Prec@5 75.781 (75.857)
Epoch: [51][460/14090]	Time 0.877 (0.778)	Data 0.001 (0.012)	Loss 2.2793 (2.1606)	Prec@1 46.094 (45.441)	Prec@5 72.656 (75.832)
Epoch: [51][470/14090]	Time 0.727 (0.778)	Data 0.001 (0.012)	Loss 2.2090 (2.1607)	Prec@1 46.094 (45.473)	Prec@5 75.000 (75.828)
Epoch: [51][480/14090]	Time 0.739 (0.778)	Data 0.001 (0.012)	Loss 2.3380 (2.1629)	Prec@1 40.625 (45.442)	Prec@5 73.438 (75.789)
Epoch: [51][490/14090]	Time 0.732 (0.777)	Data 0.001 (0.011)	Loss 2.1016 (2.1636)	Prec@1 41.406 (45.402)	Prec@5 75.000 (75.776)
Epoch: [51][500/14090]	Time 0.734 (0.777)	Data 0.001 (0.011)	Loss 1.9730 (2.1631)	Prec@1 46.094 (45.442)	Prec@5 78.125 (75.778)
Epoch: [51][510/14090]	Time 0.733 (0.777)	Data 0.001 (0.011)	Loss 2.2017 (2.1639)	Prec@1 40.625 (45.392)	Prec@5 71.094 (75.748)
Epoch: [51][520/14090]	Time 0.751 (0.777)	Data 0.001 (0.011)	Loss 2.1927 (2.1621)	Prec@1 46.094 (45.417)	Prec@5 75.000 (75.780)
Epoch: [51][530/14090]	Time 0.932 (0.777)	Data 0.001 (0.011)	Loss 2.2949 (2.1625)	Prec@1 39.062 (45.390)	Prec@5 74.219 (75.777)
Epoch: [51][540/14090]	Time 0.743 (0.776)	Data 0.001 (0.010)	Loss 2.3105 (2.1629)	Prec@1 45.312 (45.377)	Prec@5 74.219 (75.778)
Epoch: [51][550/14090]	Time 0.736 (0.776)	Data 0.001 (0.010)	Loss 2.1855 (2.1630)	Prec@1 48.438 (45.399)	Prec@5 80.469 (75.791)
Epoch: [51][560/14090]	Time 0.736 (0.776)	Data 0.001 (0.010)	Loss 2.2365 (2.1644)	Prec@1 45.312 (45.361)	Prec@5 74.219 (75.763)
Epoch: [51][570/14090]	Time 0.764 (0.776)	Data 0.001 (0.010)	Loss 2.5879 (2.1646)	Prec@1 35.156 (45.347)	Prec@5 69.531 (75.768)
Epoch: [51][580/14090]	Time 0.733 (0.776)	Data 0.001 (0.010)	Loss 2.3752 (2.1646)	Prec@1 45.312 (45.362)	Prec@5 69.531 (75.760)
Epoch: [51][590/14090]	Time 0.730 (0.776)	Data 0.001 (0.010)	Loss 1.9664 (2.1652)	Prec@1 46.094 (45.324)	Prec@5 79.688 (75.736)
Epoch: [51][600/14090]	Time 0.859 (0.776)	Data 0.001 (0.009)	Loss 1.9991 (2.1649)	Prec@1 48.438 (45.333)	Prec@5 82.031 (75.740)
Epoch: [51][610/14090]	Time 0.721 (0.775)	Data 0.001 (0.009)	Loss 2.1431 (2.1640)	Prec@1 48.438 (45.350)	Prec@5 74.219 (75.752)
Epoch: [51][620/14090]	Time 0.752 (0.775)	Data 0.001 (0.009)	Loss 2.1675 (2.1639)	Prec@1 49.219 (45.350)	Prec@5 78.906 (75.774)
Epoch: [51][630/14090]	Time 0.745 (0.775)	Data 0.001 (0.009)	Loss 2.2926 (2.1645)	Prec@1 40.625 (45.341)	Prec@5 75.000 (75.779)
Epoch: [51][640/14090]	Time 0.738 (0.775)	Data 0.001 (0.009)	Loss 2.0279 (2.1625)	Prec@1 53.125 (45.387)	Prec@5 78.906 (75.809)
Epoch: [51][650/14090]	Time 0.755 (0.775)	Data 0.001 (0.009)	Loss 2.3114 (2.1629)	Prec@1 36.719 (45.349)	Prec@5 73.438 (75.806)
Epoch: [51][660/14090]	Time 0.783 (0.775)	Data 0.001 (0.009)	Loss 2.2629 (2.1634)	Prec@1 45.312 (45.357)	Prec@5 73.438 (75.795)
Epoch: [51][670/14090]	Time 0.875 (0.775)	Data 0.001 (0.009)	Loss 2.1051 (2.1641)	Prec@1 44.531 (45.303)	Prec@5 77.344 (75.789)
Epoch: [51][680/14090]	Time 0.732 (0.775)	Data 0.001 (0.008)	Loss 2.2424 (2.1649)	Prec@1 41.406 (45.262)	Prec@5 75.000 (75.794)
Epoch: [51][690/14090]	Time 0.747 (0.774)	Data 0.001 (0.008)	Loss 2.3070 (2.1661)	Prec@1 42.969 (45.245)	Prec@5 73.438 (75.774)
Epoch: [51][700/14090]	Time 0.726 (0.774)	Data 0.001 (0.008)	Loss 2.2011 (2.1664)	Prec@1 45.312 (45.236)	Prec@5 71.094 (75.752)
Epoch: [51][710/14090]	Time 0.725 (0.774)	Data 0.001 (0.008)	Loss 2.2365 (2.1668)	Prec@1 42.969 (45.221)	Prec@5 75.781 (75.738)
Epoch: [51][720/14090]	Time 0.776 (0.774)	Data 0.001 (0.008)	Loss 2.3254 (2.1666)	Prec@1 38.281 (45.216)	Prec@5 72.656 (75.752)
Epoch: [51][730/14090]	Time 0.723 (0.774)	Data 0.001 (0.008)	Loss 2.1438 (2.1659)	Prec@1 46.094 (45.237)	Prec@5 77.344 (75.769)
Epoch: [51][740/14090]	Time 0.885 (0.774)	Data 0.001 (0.008)	Loss 2.0940 (2.1657)	Prec@1 49.219 (45.252)	Prec@5 77.344 (75.764)
Epoch: [51][750/14090]	Time 0.752 (0.774)	Data 0.001 (0.008)	Loss 2.3592 (2.1656)	Prec@1 41.406 (45.254)	Prec@5 67.969 (75.781)
Epoch: [51][760/14090]	Time 0.741 (0.774)	Data 0.001 (0.008)	Loss 2.1227 (2.1643)	Prec@1 44.531 (45.282)	Prec@5 76.562 (75.814)
Epoch: [51][770/14090]	Time 0.740 (0.774)	Data 0.001 (0.008)	Loss 2.4118 (2.1660)	Prec@1 39.844 (45.238)	Prec@5 67.969 (75.783)
Epoch: [51][780/14090]	Time 0.731 (0.774)	Data 0.001 (0.007)	Loss 2.4975 (2.1665)	Prec@1 40.625 (45.208)	Prec@5 70.312 (75.766)
Epoch: [51][790/14090]	Time 0.737 (0.774)	Data 0.001 (0.007)	Loss 2.2365 (2.1661)	Prec@1 39.062 (45.196)	Prec@5 72.656 (75.787)
Epoch: [51][800/14090]	Time 0.739 (0.774)	Data 0.001 (0.007)	Loss 2.2506 (2.1661)	Prec@1 43.750 (45.181)	Prec@5 74.219 (75.784)
Epoch: [51][810/14090]	Time 0.915 (0.774)	Data 0.001 (0.007)	Loss 1.9730 (2.1652)	Prec@1 55.469 (45.230)	Prec@5 80.469 (75.801)
Epoch: [51][820/14090]	Time 0.748 (0.773)	Data 0.002 (0.007)	Loss 2.2292 (2.1648)	Prec@1 39.062 (45.228)	Prec@5 68.750 (75.806)
Epoch: [51][830/14090]	Time 0.750 (0.773)	Data 0.001 (0.007)	Loss 1.9973 (2.1637)	Prec@1 52.344 (45.259)	Prec@5 72.656 (75.810)
Epoch: [51][840/14090]	Time 0.771 (0.773)	Data 0.001 (0.007)	Loss 2.0292 (2.1642)	Prec@1 48.438 (45.252)	Prec@5 76.562 (75.794)
Epoch: [51][850/14090]	Time 0.727 (0.773)	Data 0.001 (0.007)	Loss 2.3386 (2.1650)	Prec@1 36.719 (45.221)	Prec@5 72.656 (75.792)
Epoch: [51][860/14090]	Time 0.747 (0.773)	Data 0.001 (0.007)	Loss 2.0491 (2.1644)	Prec@1 46.094 (45.234)	Prec@5 75.781 (75.811)
Epoch: [51][870/14090]	Time 0.736 (0.773)	Data 0.001 (0.007)	Loss 2.0900 (2.1646)	Prec@1 47.656 (45.216)	Prec@5 76.562 (75.827)
Epoch: [51][880/14090]	Time 0.999 (0.773)	Data 0.001 (0.007)	Loss 2.0979 (2.1638)	Prec@1 45.312 (45.221)	Prec@5 80.469 (75.851)
Epoch: [51][890/14090]	Time 0.750 (0.773)	Data 0.001 (0.007)	Loss 2.2536 (2.1636)	Prec@1 44.531 (45.217)	Prec@5 74.219 (75.863)
Epoch: [51][900/14090]	Time 0.730 (0.773)	Data 0.001 (0.007)	Loss 2.2494 (2.1633)	Prec@1 37.500 (45.201)	Prec@5 73.438 (75.874)
Epoch: [51][910/14090]	Time 0.754 (0.773)	Data 0.001 (0.006)	Loss 2.0720 (2.1629)	Prec@1 48.438 (45.210)	Prec@5 75.000 (75.881)
Epoch: [51][920/14090]	Time 0.728 (0.773)	Data 0.001 (0.006)	Loss 2.2280 (2.1631)	Prec@1 44.531 (45.206)	Prec@5 74.219 (75.870)
Epoch: [51][930/14090]	Time 0.762 (0.773)	Data 0.001 (0.006)	Loss 2.1508 (2.1631)	Prec@1 47.656 (45.215)	Prec@5 80.469 (75.887)
Epoch: [51][940/14090]	Time 0.757 (0.773)	Data 0.001 (0.006)	Loss 2.0027 (2.1631)	Prec@1 50.000 (45.215)	Prec@5 75.781 (75.883)
Epoch: [51][950/14090]	Time 0.868 (0.773)	Data 0.001 (0.006)	Loss 2.1750 (2.1622)	Prec@1 46.094 (45.234)	Prec@5 75.781 (75.902)
Epoch: [51][960/14090]	Time 0.738 (0.772)	Data 0.001 (0.006)	Loss 2.6914 (2.1623)	Prec@1 39.062 (45.239)	Prec@5 60.938 (75.892)
Epoch: [51][970/14090]	Time 0.748 (0.772)	Data 0.001 (0.006)	Loss 2.5083 (2.1622)	Prec@1 38.281 (45.239)	Prec@5 71.094 (75.882)
Epoch: [51][980/14090]	Time 0.775 (0.772)	Data 0.001 (0.006)	Loss 2.4460 (2.1617)	Prec@1 35.938 (45.249)	Prec@5 67.969 (75.890)
Epoch: [51][990/14090]	Time 0.739 (0.772)	Data 0.001 (0.006)	Loss 2.1976 (2.1619)	Prec@1 44.531 (45.244)	Prec@5 76.562 (75.893)
Epoch: [51][1000/14090]	Time 0.759 (0.772)	Data 0.001 (0.006)	Loss 2.1055 (2.1611)	Prec@1 42.969 (45.244)	Prec@5 72.656 (75.906)
Epoch: [51][1010/14090]	Time 0.767 (0.772)	Data 0.001 (0.006)	Loss 2.0842 (2.1600)	Prec@1 46.875 (45.275)	Prec@5 77.344 (75.940)
Epoch: [51][1020/14090]	Time 0.852 (0.772)	Data 0.001 (0.006)	Loss 1.9846 (2.1601)	Prec@1 50.781 (45.283)	Prec@5 77.344 (75.944)
Epoch: [51][1030/14090]	Time 0.722 (0.772)	Data 0.001 (0.006)	Loss 1.7632 (2.1592)	Prec@1 50.781 (45.306)	Prec@5 87.500 (75.973)
Epoch: [51][1040/14090]	Time 0.738 (0.772)	Data 0.001 (0.006)	Loss 1.9512 (2.1593)	Prec@1 44.531 (45.300)	Prec@5 80.469 (75.969)
Epoch: [51][1050/14090]	Time 0.754 (0.772)	Data 0.001 (0.006)	Loss 2.1305 (2.1596)	Prec@1 45.312 (45.289)	Prec@5 75.000 (75.960)
Epoch: [51][1060/14090]	Time 0.742 (0.772)	Data 0.001 (0.006)	Loss 1.8434 (2.1599)	Prec@1 52.344 (45.287)	Prec@5 82.031 (75.952)
Epoch: [51][1070/14090]	Time 0.753 (0.772)	Data 0.001 (0.006)	Loss 2.1027 (2.1602)	Prec@1 47.656 (45.267)	Prec@5 75.000 (75.953)
Epoch: [51][1080/14090]	Time 0.727 (0.772)	Data 0.001 (0.006)	Loss 2.2576 (2.1605)	Prec@1 43.750 (45.268)	Prec@5 71.094 (75.942)
Epoch: [51][1090/14090]	Time 0.867 (0.772)	Data 0.001 (0.006)	Loss 2.0582 (2.1604)	Prec@1 43.750 (45.253)	Prec@5 75.781 (75.947)
Epoch: [51][1100/14090]	Time 0.741 (0.772)	Data 0.001 (0.006)	Loss 2.2381 (2.1605)	Prec@1 44.531 (45.269)	Prec@5 77.344 (75.954)
Epoch: [51][1110/14090]	Time 0.732 (0.772)	Data 0.001 (0.005)	Loss 2.1419 (2.1611)	Prec@1 47.656 (45.260)	Prec@5 78.906 (75.952)
Epoch: [51][1120/14090]	Time 0.771 (0.772)	Data 0.001 (0.005)	Loss 2.3618 (2.1615)	Prec@1 38.281 (45.237)	Prec@5 72.656 (75.953)
Epoch: [51][1130/14090]	Time 0.749 (0.772)	Data 0.001 (0.005)	Loss 2.1921 (2.1621)	Prec@1 42.188 (45.232)	Prec@5 75.000 (75.941)
Epoch: [51][1140/14090]	Time 0.736 (0.772)	Data 0.001 (0.005)	Loss 2.3264 (2.1629)	Prec@1 42.188 (45.212)	Prec@5 74.219 (75.918)
Epoch: [51][1150/14090]	Time 0.729 (0.772)	Data 0.001 (0.005)	Loss 2.3145 (2.1629)	Prec@1 45.312 (45.205)	Prec@5 74.219 (75.918)
Epoch: [51][1160/14090]	Time 0.873 (0.772)	Data 0.001 (0.005)	Loss 2.1582 (2.1629)	Prec@1 48.438 (45.203)	Prec@5 73.438 (75.909)
Epoch: [51][1170/14090]	Time 0.745 (0.772)	Data 0.001 (0.005)	Loss 1.9772 (2.1628)	Prec@1 51.562 (45.204)	Prec@5 78.906 (75.918)
Epoch: [51][1180/14090]	Time 0.779 (0.771)	Data 0.001 (0.005)	Loss 2.2324 (2.1625)	Prec@1 50.000 (45.206)	Prec@5 73.438 (75.920)
Epoch: [51][1190/14090]	Time 0.781 (0.772)	Data 0.001 (0.005)	Loss 2.3420 (2.1622)	Prec@1 42.969 (45.214)	Prec@5 73.438 (75.922)
Epoch: [51][1200/14090]	Time 0.740 (0.771)	Data 0.001 (0.005)	Loss 2.3923 (2.1620)	Prec@1 44.531 (45.216)	Prec@5 75.781 (75.917)
Epoch: [51][1210/14090]	Time 0.740 (0.771)	Data 0.001 (0.005)	Loss 2.2344 (2.1616)	Prec@1 39.062 (45.222)	Prec@5 75.781 (75.928)
Epoch: [51][1220/14090]	Time 0.740 (0.771)	Data 0.001 (0.005)	Loss 2.3838 (2.1612)	Prec@1 45.312 (45.224)	Prec@5 68.750 (75.934)
Epoch: [51][1230/14090]	Time 1.020 (0.772)	Data 0.001 (0.005)	Loss 2.1484 (2.1619)	Prec@1 45.312 (45.213)	Prec@5 73.438 (75.921)
Epoch: [51][1240/14090]	Time 0.735 (0.771)	Data 0.001 (0.005)	Loss 2.0077 (2.1624)	Prec@1 46.094 (45.211)	Prec@5 78.125 (75.917)
Epoch: [51][1250/14090]	Time 0.737 (0.771)	Data 0.001 (0.005)	Loss 2.0719 (2.1621)	Prec@1 42.969 (45.214)	Prec@5 81.250 (75.922)
Epoch: [51][1260/14090]	Time 0.730 (0.771)	Data 0.001 (0.005)	Loss 2.0877 (2.1626)	Prec@1 50.781 (45.219)	Prec@5 77.344 (75.922)
Epoch: [51][1270/14090]	Time 0.774 (0.771)	Data 0.001 (0.005)	Loss 1.8628 (2.1621)	Prec@1 50.000 (45.231)	Prec@5 82.031 (75.928)
Epoch: [51][1280/14090]	Time 0.727 (0.771)	Data 0.001 (0.005)	Loss 2.1742 (2.1619)	Prec@1 45.312 (45.239)	Prec@5 75.000 (75.926)
Epoch: [51][1290/14090]	Time 0.746 (0.771)	Data 0.001 (0.005)	Loss 2.1504 (2.1620)	Prec@1 53.125 (45.244)	Prec@5 75.000 (75.922)
Epoch: [51][1300/14090]	Time 0.850 (0.771)	Data 0.001 (0.005)	Loss 2.0361 (2.1622)	Prec@1 46.094 (45.245)	Prec@5 81.250 (75.925)
Epoch: [51][1310/14090]	Time 0.739 (0.771)	Data 0.001 (0.005)	Loss 2.3011 (2.1617)	Prec@1 44.531 (45.259)	Prec@5 74.219 (75.927)
Epoch: [51][1320/14090]	Time 0.741 (0.771)	Data 0.001 (0.005)	Loss 2.2272 (2.1618)	Prec@1 45.312 (45.253)	Prec@5 75.781 (75.927)
Epoch: [51][1330/14090]	Time 0.747 (0.771)	Data 0.001 (0.005)	Loss 2.1976 (2.1611)	Prec@1 44.531 (45.258)	Prec@5 71.875 (75.930)
Epoch: [51][1340/14090]	Time 0.751 (0.771)	Data 0.001 (0.005)	Loss 2.1414 (2.1602)	Prec@1 51.562 (45.289)	Prec@5 80.469 (75.946)
Epoch: [51][1350/14090]	Time 0.729 (0.771)	Data 0.001 (0.005)	Loss 1.9193 (2.1606)	Prec@1 53.906 (45.283)	Prec@5 78.906 (75.933)
Epoch: [51][1360/14090]	Time 0.733 (0.771)	Data 0.001 (0.005)	Loss 1.9878 (2.1608)	Prec@1 51.562 (45.275)	Prec@5 74.219 (75.919)
Epoch: [51][1370/14090]	Time 0.869 (0.771)	Data 0.001 (0.005)	Loss 2.1232 (2.1609)	Prec@1 40.625 (45.262)	Prec@5 78.906 (75.919)
Epoch: [51][1380/14090]	Time 0.730 (0.771)	Data 0.001 (0.005)	Loss 2.1349 (2.1611)	Prec@1 42.969 (45.261)	Prec@5 78.906 (75.920)
Epoch: [51][1390/14090]	Time 0.744 (0.771)	Data 0.001 (0.005)	Loss 1.9626 (2.1607)	Prec@1 50.781 (45.275)	Prec@5 75.781 (75.930)
Epoch: [51][1400/14090]	Time 0.738 (0.771)	Data 0.001 (0.005)	Loss 1.9092 (2.1603)	Prec@1 51.562 (45.296)	Prec@5 79.688 (75.935)
Epoch: [51][1410/14090]	Time 0.742 (0.771)	Data 0.001 (0.004)	Loss 1.9885 (2.1601)	Prec@1 51.562 (45.295)	Prec@5 79.688 (75.942)
Epoch: [51][1420/14090]	Time 0.756 (0.771)	Data 0.001 (0.004)	Loss 2.1294 (2.1603)	Prec@1 50.000 (45.293)	Prec@5 76.562 (75.942)
Epoch: [51][1430/14090]	Time 0.779 (0.771)	Data 0.001 (0.004)	Loss 2.0975 (2.1600)	Prec@1 48.438 (45.301)	Prec@5 75.781 (75.947)
Epoch: [51][1440/14090]	Time 0.857 (0.771)	Data 0.001 (0.004)	Loss 2.1664 (2.1603)	Prec@1 42.969 (45.294)	Prec@5 75.000 (75.935)
Epoch: [51][1450/14090]	Time 0.747 (0.771)	Data 0.001 (0.004)	Loss 2.3062 (2.1604)	Prec@1 38.281 (45.295)	Prec@5 75.781 (75.943)
Epoch: [51][1460/14090]	Time 0.773 (0.771)	Data 0.001 (0.004)	Loss 2.0809 (2.1609)	Prec@1 46.094 (45.289)	Prec@5 77.344 (75.927)
Epoch: [51][1470/14090]	Time 0.780 (0.771)	Data 0.001 (0.004)	Loss 2.0179 (2.1605)	Prec@1 49.219 (45.289)	Prec@5 79.688 (75.937)
Epoch: [51][1480/14090]	Time 0.740 (0.771)	Data 0.001 (0.004)	Loss 2.2048 (2.1606)	Prec@1 44.531 (45.297)	Prec@5 78.125 (75.938)
Epoch: [51][1490/14090]	Time 0.755 (0.771)	Data 0.001 (0.004)	Loss 2.0403 (2.1604)	Prec@1 48.438 (45.300)	Prec@5 78.125 (75.941)
Epoch: [51][1500/14090]	Time 0.733 (0.771)	Data 0.001 (0.004)	Loss 2.1444 (2.1609)	Prec@1 39.844 (45.280)	Prec@5 75.781 (75.926)
Epoch: [51][1510/14090]	Time 0.885 (0.771)	Data 0.001 (0.004)	Loss 2.0231 (2.1610)	Prec@1 52.344 (45.284)	Prec@5 79.688 (75.913)
Epoch: [51][1520/14090]	Time 0.737 (0.771)	Data 0.001 (0.004)	Loss 2.3402 (2.1604)	Prec@1 43.750 (45.295)	Prec@5 68.750 (75.923)
Epoch: [51][1530/14090]	Time 0.763 (0.770)	Data 0.001 (0.004)	Loss 1.9973 (2.1605)	Prec@1 44.531 (45.288)	Prec@5 81.250 (75.921)
Epoch: [51][1540/14090]	Time 0.740 (0.770)	Data 0.001 (0.004)	Loss 2.0062 (2.1603)	Prec@1 42.969 (45.294)	Prec@5 74.219 (75.921)
Epoch: [51][1550/14090]	Time 0.750 (0.770)	Data 0.001 (0.004)	Loss 2.2615 (2.1604)	Prec@1 44.531 (45.304)	Prec@5 77.344 (75.922)
Epoch: [51][1560/14090]	Time 0.755 (0.771)	Data 0.001 (0.004)	Loss 2.1547 (2.1606)	Prec@1 42.188 (45.296)	Prec@5 80.469 (75.916)
Epoch: [51][1570/14090]	Time 0.773 (0.770)	Data 0.001 (0.004)	Loss 2.1626 (2.1605)	Prec@1 44.531 (45.294)	Prec@5 76.562 (75.916)
Epoch: [51][1580/14090]	Time 0.881 (0.770)	Data 0.001 (0.004)	Loss 2.1656 (2.1606)	Prec@1 45.312 (45.291)	Prec@5 77.344 (75.917)
Epoch: [51][1590/14090]	Time 0.725 (0.770)	Data 0.001 (0.004)	Loss 2.2769 (2.1615)	Prec@1 46.094 (45.278)	Prec@5 72.656 (75.904)
Epoch: [51][1600/14090]	Time 0.730 (0.770)	Data 0.001 (0.004)	Loss 2.4442 (2.1615)	Prec@1 38.281 (45.272)	Prec@5 70.312 (75.906)
Epoch: [51][1610/14090]	Time 0.787 (0.770)	Data 0.001 (0.004)	Loss 2.0919 (2.1615)	Prec@1 37.500 (45.262)	Prec@5 78.906 (75.910)
Epoch: [51][1620/14090]	Time 0.730 (0.770)	Data 0.001 (0.004)	Loss 1.9346 (2.1611)	Prec@1 46.875 (45.262)	Prec@5 82.812 (75.921)
Epoch: [51][1630/14090]	Time 0.754 (0.770)	Data 0.001 (0.004)	Loss 2.1593 (2.1616)	Prec@1 46.094 (45.258)	Prec@5 72.656 (75.916)
Epoch: [51][1640/14090]	Time 0.730 (0.770)	Data 0.001 (0.004)	Loss 1.9976 (2.1610)	Prec@1 50.000 (45.267)	Prec@5 78.125 (75.921)
Epoch: [51][1650/14090]	Time 0.872 (0.770)	Data 0.001 (0.004)	Loss 2.4727 (2.1615)	Prec@1 35.156 (45.252)	Prec@5 71.094 (75.916)
Epoch: [51][1660/14090]	Time 0.776 (0.770)	Data 0.001 (0.004)	Loss 2.3577 (2.1618)	Prec@1 42.188 (45.247)	Prec@5 70.312 (75.909)
Epoch: [51][1670/14090]	Time 0.756 (0.770)	Data 0.001 (0.004)	Loss 2.0629 (2.1615)	Prec@1 49.219 (45.254)	Prec@5 78.125 (75.913)
Epoch: [51][1680/14090]	Time 0.736 (0.770)	Data 0.001 (0.004)	Loss 2.3342 (2.1613)	Prec@1 48.438 (45.257)	Prec@5 72.656 (75.915)
Epoch: [51][1690/14090]	Time 0.737 (0.770)	Data 0.001 (0.004)	Loss 2.4129 (2.1617)	Prec@1 39.844 (45.244)	Prec@5 75.781 (75.913)
Epoch: [51][1700/14090]	Time 0.753 (0.770)	Data 0.003 (0.004)	Loss 1.9461 (2.1616)	Prec@1 43.750 (45.238)	Prec@5 84.375 (75.919)
Epoch: [51][1710/14090]	Time 0.743 (0.770)	Data 0.001 (0.004)	Loss 2.1954 (2.1614)	Prec@1 47.656 (45.248)	Prec@5 75.781 (75.921)
Epoch: [51][1720/14090]	Time 0.898 (0.770)	Data 0.001 (0.004)	Loss 2.1986 (2.1616)	Prec@1 46.875 (45.234)	Prec@5 75.781 (75.925)
Epoch: [51][1730/14090]	Time 0.779 (0.770)	Data 0.001 (0.004)	Loss 2.2604 (2.1618)	Prec@1 42.969 (45.231)	Prec@5 75.000 (75.923)
Epoch: [51][1740/14090]	Time 0.743 (0.770)	Data 0.001 (0.004)	Loss 2.1500 (2.1614)	Prec@1 45.312 (45.241)	Prec@5 74.219 (75.929)
Epoch: [51][1750/14090]	Time 0.740 (0.770)	Data 0.001 (0.004)	Loss 1.9463 (2.1611)	Prec@1 46.094 (45.241)	Prec@5 81.250 (75.936)
Epoch: [51][1760/14090]	Time 0.764 (0.770)	Data 0.001 (0.004)	Loss 2.0414 (2.1611)	Prec@1 47.656 (45.244)	Prec@5 79.688 (75.933)
Epoch: [51][1770/14090]	Time 0.732 (0.770)	Data 0.001 (0.004)	Loss 2.4209 (2.1612)	Prec@1 44.531 (45.241)	Prec@5 67.969 (75.933)
Epoch: [51][1780/14090]	Time 0.769 (0.770)	Data 0.001 (0.004)	Loss 2.0632 (2.1612)	Prec@1 46.875 (45.244)	Prec@5 79.688 (75.933)
Epoch: [51][1790/14090]	Time 0.872 (0.770)	Data 0.001 (0.004)	Loss 2.2884 (2.1611)	Prec@1 38.281 (45.241)	Prec@5 75.000 (75.936)
Epoch: [51][1800/14090]	Time 0.744 (0.770)	Data 0.001 (0.004)	Loss 1.9184 (2.1613)	Prec@1 47.656 (45.247)	Prec@5 82.031 (75.931)
Epoch: [51][1810/14090]	Time 0.782 (0.770)	Data 0.001 (0.004)	Loss 2.0723 (2.1610)	Prec@1 50.000 (45.257)	Prec@5 75.781 (75.937)
Epoch: [51][1820/14090]	Time 0.776 (0.770)	Data 0.001 (0.004)	Loss 2.2411 (2.1606)	Prec@1 43.750 (45.274)	Prec@5 75.000 (75.945)
Epoch: [51][1830/14090]	Time 0.751 (0.770)	Data 0.001 (0.004)	Loss 2.3956 (2.1608)	Prec@1 39.844 (45.270)	Prec@5 75.000 (75.946)
Epoch: [51][1840/14090]	Time 0.743 (0.770)	Data 0.001 (0.004)	Loss 2.0472 (2.1608)	Prec@1 50.000 (45.274)	Prec@5 76.562 (75.952)
Epoch: [51][1850/14090]	Time 0.733 (0.770)	Data 0.001 (0.004)	Loss 1.9226 (2.1610)	Prec@1 53.906 (45.278)	Prec@5 79.688 (75.941)
Epoch: [51][1860/14090]	Time 1.035 (0.770)	Data 0.001 (0.004)	Loss 1.9974 (2.1612)	Prec@1 46.094 (45.271)	Prec@5 81.250 (75.939)
Epoch: [51][1870/14090]	Time 0.751 (0.770)	Data 0.001 (0.004)	Loss 2.1061 (2.1610)	Prec@1 50.000 (45.272)	Prec@5 79.688 (75.939)
Epoch: [51][1880/14090]	Time 0.739 (0.770)	Data 0.001 (0.004)	Loss 2.0547 (2.1607)	Prec@1 44.531 (45.272)	Prec@5 74.219 (75.948)
Epoch: [51][1890/14090]	Time 0.738 (0.770)	Data 0.001 (0.004)	Loss 2.3810 (2.1601)	Prec@1 40.625 (45.281)	Prec@5 74.219 (75.960)
Epoch: [51][1900/14090]	Time 0.754 (0.770)	Data 0.001 (0.004)	Loss 2.2812 (2.1602)	Prec@1 41.406 (45.284)	Prec@5 68.750 (75.958)
Epoch: [51][1910/14090]	Time 0.729 (0.770)	Data 0.001 (0.004)	Loss 2.1550 (2.1601)	Prec@1 42.969 (45.287)	Prec@5 75.000 (75.961)
Epoch: [51][1920/14090]	Time 0.728 (0.770)	Data 0.001 (0.004)	Loss 2.2720 (2.1601)	Prec@1 41.406 (45.287)	Prec@5 74.219 (75.956)
Epoch: [51][1930/14090]	Time 0.888 (0.770)	Data 0.001 (0.004)	Loss 2.4898 (2.1603)	Prec@1 36.719 (45.283)	Prec@5 70.312 (75.954)
Epoch: [51][1940/14090]	Time 0.734 (0.770)	Data 0.001 (0.004)	Loss 1.9578 (2.1599)	Prec@1 49.219 (45.288)	Prec@5 82.031 (75.969)
Epoch: [51][1950/14090]	Time 0.739 (0.770)	Data 0.001 (0.003)	Loss 2.2863 (2.1604)	Prec@1 39.844 (45.282)	Prec@5 76.562 (75.957)
Epoch: [51][1960/14090]	Time 0.751 (0.770)	Data 0.001 (0.003)	Loss 2.2041 (2.1605)	Prec@1 33.594 (45.283)	Prec@5 82.031 (75.956)
Epoch: [51][1970/14090]	Time 0.753 (0.770)	Data 0.001 (0.003)	Loss 2.2746 (2.1609)	Prec@1 42.969 (45.285)	Prec@5 78.125 (75.950)
Epoch: [51][1980/14090]	Time 0.749 (0.770)	Data 0.001 (0.003)	Loss 2.1857 (2.1607)	Prec@1 42.969 (45.287)	Prec@5 75.781 (75.954)
Epoch: [51][1990/14090]	Time 0.728 (0.770)	Data 0.001 (0.003)	Loss 2.1984 (2.1606)	Prec@1 45.312 (45.293)	Prec@5 79.688 (75.954)
Epoch: [51][2000/14090]	Time 1.016 (0.770)	Data 0.001 (0.003)	Loss 2.3147 (2.1611)	Prec@1 46.094 (45.287)	Prec@5 75.781 (75.948)
Epoch: [51][2010/14090]	Time 0.770 (0.770)	Data 0.001 (0.003)	Loss 2.0195 (2.1609)	Prec@1 48.438 (45.297)	Prec@5 77.344 (75.949)
Epoch: [51][2020/14090]	Time 0.774 (0.770)	Data 0.001 (0.003)	Loss 2.2411 (2.1608)	Prec@1 46.875 (45.306)	Prec@5 72.656 (75.950)
Epoch: [51][2030/14090]	Time 0.750 (0.770)	Data 0.001 (0.003)	Loss 2.1861 (2.1607)	Prec@1 42.969 (45.312)	Prec@5 77.344 (75.951)
Epoch: [51][2040/14090]	Time 0.779 (0.770)	Data 0.001 (0.003)	Loss 1.9851 (2.1606)	Prec@1 48.438 (45.319)	Prec@5 82.031 (75.950)
Epoch: [51][2050/14090]	Time 0.746 (0.770)	Data 0.001 (0.003)	Loss 2.1779 (2.1609)	Prec@1 45.312 (45.312)	Prec@5 74.219 (75.946)
Epoch: [51][2060/14090]	Time 0.770 (0.770)	Data 0.001 (0.003)	Loss 2.3872 (2.1612)	Prec@1 40.625 (45.303)	Prec@5 72.656 (75.943)
Epoch: [51][2070/14090]	Time 0.884 (0.770)	Data 0.001 (0.003)	Loss 1.8610 (2.1612)	Prec@1 49.219 (45.303)	Prec@5 76.562 (75.941)
Epoch: [51][2080/14090]	Time 0.745 (0.770)	Data 0.001 (0.003)	Loss 2.2531 (2.1608)	Prec@1 42.969 (45.313)	Prec@5 71.094 (75.945)
Epoch: [51][2090/14090]	Time 0.788 (0.770)	Data 0.001 (0.003)	Loss 2.3535 (2.1609)	Prec@1 40.625 (45.312)	Prec@5 75.000 (75.944)
Epoch: [51][2100/14090]	Time 0.751 (0.770)	Data 0.001 (0.003)	Loss 2.2511 (2.1608)	Prec@1 39.062 (45.309)	Prec@5 75.781 (75.943)
Epoch: [51][2110/14090]	Time 0.756 (0.770)	Data 0.001 (0.003)	Loss 2.0851 (2.1609)	Prec@1 47.656 (45.309)	Prec@5 78.125 (75.941)
Epoch: [51][2120/14090]	Time 0.723 (0.770)	Data 0.001 (0.003)	Loss 2.3619 (2.1610)	Prec@1 38.281 (45.307)	Prec@5 74.219 (75.940)
Epoch: [51][2130/14090]	Time 0.725 (0.770)	Data 0.001 (0.003)	Loss 2.2018 (2.1607)	Prec@1 39.844 (45.312)	Prec@5 76.562 (75.949)
Epoch: [51][2140/14090]	Time 0.863 (0.770)	Data 0.001 (0.003)	Loss 2.1948 (2.1612)	Prec@1 39.062 (45.301)	Prec@5 78.906 (75.945)
Epoch: [51][2150/14090]	Time 0.725 (0.770)	Data 0.001 (0.003)	Loss 2.1530 (2.1614)	Prec@1 41.406 (45.299)	Prec@5 79.688 (75.939)
Epoch: [51][2160/14090]	Time 0.775 (0.770)	Data 0.001 (0.003)	Loss 2.2054 (2.1616)	Prec@1 46.094 (45.291)	Prec@5 74.219 (75.940)
Epoch: [51][2170/14090]	Time 0.743 (0.770)	Data 0.001 (0.003)	Loss 1.9456 (2.1616)	Prec@1 51.562 (45.295)	Prec@5 78.125 (75.936)
Epoch: [51][2180/14090]	Time 0.727 (0.770)	Data 0.001 (0.003)	Loss 1.9678 (2.1618)	Prec@1 49.219 (45.289)	Prec@5 76.562 (75.932)
Epoch: [51][2190/14090]	Time 0.738 (0.770)	Data 0.001 (0.003)	Loss 1.9438 (2.1615)	Prec@1 49.219 (45.293)	Prec@5 80.469 (75.936)
Epoch: [51][2200/14090]	Time 0.726 (0.770)	Data 0.001 (0.003)	Loss 2.3790 (2.1616)	Prec@1 42.969 (45.295)	Prec@5 71.875 (75.930)
Epoch: [51][2210/14090]	Time 0.972 (0.770)	Data 0.001 (0.003)	Loss 2.4075 (2.1618)	Prec@1 44.531 (45.282)	Prec@5 71.875 (75.924)
Epoch: [51][2220/14090]	Time 0.729 (0.770)	Data 0.001 (0.003)	Loss 2.0383 (2.1619)	Prec@1 53.906 (45.290)	Prec@5 78.906 (75.918)
Epoch: [51][2230/14090]	Time 0.770 (0.770)	Data 0.001 (0.003)	Loss 2.1589 (2.1619)	Prec@1 51.562 (45.292)	Prec@5 76.562 (75.919)
Epoch: [51][2240/14090]	Time 0.788 (0.770)	Data 0.001 (0.003)	Loss 2.3853 (2.1618)	Prec@1 38.281 (45.299)	Prec@5 75.000 (75.925)
Epoch: [51][2250/14090]	Time 0.743 (0.770)	Data 0.001 (0.003)	Loss 2.3354 (2.1620)	Prec@1 42.188 (45.289)	Prec@5 75.000 (75.922)
Epoch: [51][2260/14090]	Time 0.731 (0.770)	Data 0.001 (0.003)	Loss 2.1157 (2.1624)	Prec@1 45.312 (45.276)	Prec@5 76.562 (75.914)
Epoch: [51][2270/14090]	Time 0.758 (0.770)	Data 0.001 (0.003)	Loss 2.3987 (2.1630)	Prec@1 46.875 (45.272)	Prec@5 71.875 (75.906)
Epoch: [51][2280/14090]	Time 1.003 (0.770)	Data 0.001 (0.003)	Loss 2.0594 (2.1629)	Prec@1 42.969 (45.273)	Prec@5 79.688 (75.911)
Epoch: [51][2290/14090]	Time 0.740 (0.770)	Data 0.001 (0.003)	Loss 2.1183 (2.1628)	Prec@1 46.875 (45.278)	Prec@5 77.344 (75.913)
Epoch: [51][2300/14090]	Time 0.754 (0.770)	Data 0.001 (0.003)	Loss 2.2471 (2.1631)	Prec@1 39.062 (45.272)	Prec@5 73.438 (75.910)
Epoch: [51][2310/14090]	Time 0.745 (0.770)	Data 0.001 (0.003)	Loss 1.7514 (2.1631)	Prec@1 53.125 (45.262)	Prec@5 81.250 (75.908)
Epoch: [51][2320/14090]	Time 0.735 (0.770)	Data 0.001 (0.003)	Loss 2.3665 (2.1631)	Prec@1 46.094 (45.266)	Prec@5 71.875 (75.898)
Epoch: [51][2330/14090]	Time 0.757 (0.770)	Data 0.001 (0.003)	Loss 2.1488 (2.1630)	Prec@1 46.875 (45.267)	Prec@5 73.438 (75.904)
Epoch: [51][2340/14090]	Time 0.775 (0.770)	Data 0.001 (0.003)	Loss 2.2212 (2.1633)	Prec@1 42.188 (45.261)	Prec@5 74.219 (75.898)
Epoch: [51][2350/14090]	Time 0.856 (0.770)	Data 0.001 (0.003)	Loss 2.2596 (2.1632)	Prec@1 46.875 (45.269)	Prec@5 71.875 (75.898)
Epoch: [51][2360/14090]	Time 0.752 (0.770)	Data 0.001 (0.003)	Loss 2.0915 (2.1626)	Prec@1 50.781 (45.278)	Prec@5 76.562 (75.910)
Epoch: [51][2370/14090]	Time 0.763 (0.770)	Data 0.001 (0.003)	Loss 1.9114 (2.1627)	Prec@1 53.125 (45.275)	Prec@5 80.469 (75.904)
Epoch: [51][2380/14090]	Time 0.761 (0.770)	Data 0.001 (0.003)	Loss 2.0249 (2.1632)	Prec@1 45.312 (45.266)	Prec@5 82.812 (75.899)
Epoch: [51][2390/14090]	Time 0.745 (0.770)	Data 0.001 (0.003)	Loss 2.3950 (2.1631)	Prec@1 42.188 (45.273)	Prec@5 75.000 (75.901)
Epoch: [51][2400/14090]	Time 0.734 (0.770)	Data 0.001 (0.003)	Loss 2.3388 (2.1632)	Prec@1 42.969 (45.272)	Prec@5 67.969 (75.899)
Epoch: [51][2410/14090]	Time 0.725 (0.770)	Data 0.001 (0.003)	Loss 2.0754 (2.1632)	Prec@1 53.125 (45.275)	Prec@5 74.219 (75.895)
Epoch: [51][2420/14090]	Time 0.949 (0.770)	Data 0.001 (0.003)	Loss 1.9283 (2.1629)	Prec@1 54.688 (45.289)	Prec@5 81.250 (75.905)
Epoch: [51][2430/14090]	Time 0.741 (0.770)	Data 0.001 (0.003)	Loss 2.2464 (2.1630)	Prec@1 41.406 (45.288)	Prec@5 76.562 (75.900)
Epoch: [51][2440/14090]	Time 0.781 (0.770)	Data 0.001 (0.003)	Loss 1.8997 (2.1631)	Prec@1 53.125 (45.281)	Prec@5 78.125 (75.907)
Epoch: [51][2450/14090]	Time 0.772 (0.770)	Data 0.001 (0.003)	Loss 2.3488 (2.1636)	Prec@1 40.625 (45.269)	Prec@5 74.219 (75.899)
Epoch: [51][2460/14090]	Time 0.744 (0.770)	Data 0.001 (0.003)	Loss 2.3355 (2.1633)	Prec@1 35.938 (45.274)	Prec@5 70.312 (75.899)
Epoch: [51][2470/14090]	Time 0.744 (0.770)	Data 0.001 (0.003)	Loss 2.0467 (2.1636)	Prec@1 53.906 (45.265)	Prec@5 75.781 (75.893)
Epoch: [51][2480/14090]	Time 0.774 (0.770)	Data 0.001 (0.003)	Loss 2.0323 (2.1633)	Prec@1 43.750 (45.268)	Prec@5 78.906 (75.901)
Epoch: [51][2490/14090]	Time 0.898 (0.770)	Data 0.001 (0.003)	Loss 2.0886 (2.1637)	Prec@1 43.750 (45.266)	Prec@5 71.094 (75.891)
Epoch: [51][2500/14090]	Time 0.778 (0.770)	Data 0.001 (0.003)	Loss 2.0591 (2.1638)	Prec@1 42.969 (45.264)	Prec@5 79.688 (75.892)
Epoch: [51][2510/14090]	Time 0.738 (0.770)	Data 0.001 (0.003)	Loss 2.3993 (2.1637)	Prec@1 41.406 (45.261)	Prec@5 74.219 (75.889)
Epoch: [51][2520/14090]	Time 0.737 (0.770)	Data 0.001 (0.003)	Loss 2.0583 (2.1638)	Prec@1 50.781 (45.265)	Prec@5 76.562 (75.882)
Epoch: [51][2530/14090]	Time 0.762 (0.770)	Data 0.001 (0.003)	Loss 2.3683 (2.1637)	Prec@1 41.406 (45.262)	Prec@5 71.875 (75.885)
Epoch: [51][2540/14090]	Time 0.757 (0.770)	Data 0.001 (0.003)	Loss 2.2072 (2.1639)	Prec@1 43.750 (45.256)	Prec@5 75.781 (75.879)
Epoch: [51][2550/14090]	Time 0.737 (0.770)	Data 0.001 (0.003)	Loss 2.3175 (2.1643)	Prec@1 43.750 (45.246)	Prec@5 72.656 (75.872)
Epoch: [51][2560/14090]	Time 0.886 (0.770)	Data 0.001 (0.003)	Loss 2.1891 (2.1645)	Prec@1 44.531 (45.241)	Prec@5 72.656 (75.866)
Epoch: [51][2570/14090]	Time 0.737 (0.770)	Data 0.001 (0.003)	Loss 1.9203 (2.1642)	Prec@1 49.219 (45.251)	Prec@5 84.375 (75.873)
Epoch: [51][2580/14090]	Time 0.738 (0.770)	Data 0.001 (0.003)	Loss 2.2399 (2.1644)	Prec@1 42.969 (45.248)	Prec@5 77.344 (75.868)
Epoch: [51][2590/14090]	Time 0.724 (0.770)	Data 0.001 (0.003)	Loss 2.1126 (2.1642)	Prec@1 47.656 (45.252)	Prec@5 77.344 (75.867)
Epoch: [51][2600/14090]	Time 0.748 (0.770)	Data 0.001 (0.003)	Loss 1.8869 (2.1641)	Prec@1 51.562 (45.253)	Prec@5 78.906 (75.871)
Epoch: [51][2610/14090]	Time 0.753 (0.770)	Data 0.001 (0.003)	Loss 1.9566 (2.1638)	Prec@1 48.438 (45.260)	Prec@5 80.469 (75.870)
Epoch: [51][2620/14090]	Time 0.742 (0.770)	Data 0.001 (0.003)	Loss 1.9235 (2.1639)	Prec@1 46.875 (45.254)	Prec@5 82.031 (75.868)
Epoch: [51][2630/14090]	Time 0.833 (0.770)	Data 0.001 (0.003)	Loss 2.2355 (2.1642)	Prec@1 46.875 (45.250)	Prec@5 72.656 (75.860)
Epoch: [51][2640/14090]	Time 0.786 (0.770)	Data 0.001 (0.003)	Loss 2.3293 (2.1639)	Prec@1 42.969 (45.260)	Prec@5 71.094 (75.861)
Epoch: [51][2650/14090]	Time 0.784 (0.770)	Data 0.001 (0.003)	Loss 2.2408 (2.1641)	Prec@1 46.094 (45.253)	Prec@5 74.219 (75.857)
Epoch: [51][2660/14090]	Time 0.729 (0.770)	Data 0.001 (0.003)	Loss 2.0058 (2.1641)	Prec@1 49.219 (45.257)	Prec@5 77.344 (75.856)
Epoch: [51][2670/14090]	Time 0.759 (0.770)	Data 0.001 (0.003)	Loss 2.2651 (2.1640)	Prec@1 45.312 (45.266)	Prec@5 74.219 (75.854)
Epoch: [51][2680/14090]	Time 0.763 (0.770)	Data 0.001 (0.003)	Loss 2.2538 (2.1642)	Prec@1 44.531 (45.264)	Prec@5 77.344 (75.848)
Epoch: [51][2690/14090]	Time 0.751 (0.770)	Data 0.001 (0.003)	Loss 2.0564 (2.1642)	Prec@1 50.000 (45.264)	Prec@5 73.438 (75.846)
Epoch: [51][2700/14090]	Time 0.892 (0.770)	Data 0.001 (0.003)	Loss 1.9997 (2.1647)	Prec@1 46.875 (45.256)	Prec@5 79.688 (75.834)
Epoch: [51][2710/14090]	Time 0.735 (0.770)	Data 0.001 (0.003)	Loss 2.1291 (2.1645)	Prec@1 43.750 (45.262)	Prec@5 76.562 (75.836)
Epoch: [51][2720/14090]	Time 0.726 (0.770)	Data 0.001 (0.003)	Loss 2.0793 (2.1645)	Prec@1 46.094 (45.258)	Prec@5 77.344 (75.836)
Epoch: [51][2730/14090]	Time 0.777 (0.770)	Data 0.001 (0.003)	Loss 2.2422 (2.1646)	Prec@1 46.094 (45.266)	Prec@5 75.000 (75.832)
Epoch: [51][2740/14090]	Time 0.764 (0.770)	Data 0.001 (0.003)	Loss 2.0491 (2.1645)	Prec@1 48.438 (45.267)	Prec@5 77.344 (75.833)
Epoch: [51][2750/14090]	Time 0.757 (0.770)	Data 0.001 (0.003)	Loss 2.1411 (2.1652)	Prec@1 45.312 (45.258)	Prec@5 76.562 (75.819)
Epoch: [51][2760/14090]	Time 0.739 (0.769)	Data 0.001 (0.003)	Loss 2.0656 (2.1652)	Prec@1 42.969 (45.262)	Prec@5 78.906 (75.822)
Epoch: [51][2770/14090]	Time 0.878 (0.769)	Data 0.002 (0.003)	Loss 2.3745 (2.1651)	Prec@1 43.750 (45.265)	Prec@5 69.531 (75.820)
Epoch: [51][2780/14090]	Time 0.737 (0.769)	Data 0.001 (0.003)	Loss 2.2297 (2.1651)	Prec@1 48.438 (45.269)	Prec@5 68.750 (75.813)
Epoch: [51][2790/14090]	Time 0.746 (0.769)	Data 0.001 (0.003)	Loss 2.0949 (2.1652)	Prec@1 45.312 (45.261)	Prec@5 75.781 (75.811)
Epoch: [51][2800/14090]	Time 0.753 (0.769)	Data 0.001 (0.003)	Loss 2.3390 (2.1656)	Prec@1 42.188 (45.260)	Prec@5 72.656 (75.804)
Epoch: [51][2810/14090]	Time 0.762 (0.769)	Data 0.001 (0.003)	Loss 2.1230 (2.1659)	Prec@1 42.188 (45.255)	Prec@5 75.000 (75.800)
Epoch: [51][2820/14090]	Time 0.756 (0.769)	Data 0.001 (0.003)	Loss 2.1790 (2.1657)	Prec@1 46.875 (45.260)	Prec@5 75.781 (75.802)
Epoch: [51][2830/14090]	Time 0.765 (0.769)	Data 0.001 (0.003)	Loss 2.1015 (2.1656)	Prec@1 46.875 (45.269)	Prec@5 76.562 (75.807)
Epoch: [51][2840/14090]	Time 0.853 (0.769)	Data 0.001 (0.003)	Loss 2.1298 (2.1654)	Prec@1 41.406 (45.277)	Prec@5 81.250 (75.813)
Epoch: [51][2850/14090]	Time 0.754 (0.769)	Data 0.001 (0.003)	Loss 2.1001 (2.1653)	Prec@1 48.438 (45.282)	Prec@5 76.562 (75.815)
Epoch: [51][2860/14090]	Time 0.755 (0.769)	Data 0.001 (0.003)	Loss 1.9140 (2.1653)	Prec@1 50.781 (45.279)	Prec@5 78.906 (75.815)
Epoch: [51][2870/14090]	Time 0.718 (0.769)	Data 0.001 (0.003)	Loss 2.1525 (2.1654)	Prec@1 51.562 (45.278)	Prec@5 75.000 (75.810)
Epoch: [51][2880/14090]	Time 0.754 (0.769)	Data 0.001 (0.003)	Loss 1.9249 (2.1654)	Prec@1 45.312 (45.275)	Prec@5 82.031 (75.810)
Epoch: [51][2890/14090]	Time 0.757 (0.769)	Data 0.001 (0.003)	Loss 1.9427 (2.1657)	Prec@1 53.125 (45.271)	Prec@5 77.344 (75.805)
Epoch: [51][2900/14090]	Time 0.737 (0.769)	Data 0.001 (0.003)	Loss 2.1349 (2.1657)	Prec@1 50.000 (45.275)	Prec@5 72.656 (75.803)
Epoch: [51][2910/14090]	Time 0.889 (0.769)	Data 0.001 (0.003)	Loss 2.3105 (2.1659)	Prec@1 45.312 (45.274)	Prec@5 74.219 (75.803)
Epoch: [51][2920/14090]	Time 0.774 (0.769)	Data 0.001 (0.003)	Loss 2.3017 (2.1658)	Prec@1 40.625 (45.275)	Prec@5 72.656 (75.804)
Epoch: [51][2930/14090]	Time 0.738 (0.769)	Data 0.001 (0.003)	Loss 2.3253 (2.1660)	Prec@1 39.844 (45.271)	Prec@5 73.438 (75.802)
Epoch: [51][2940/14090]	Time 0.734 (0.769)	Data 0.001 (0.003)	Loss 2.0729 (2.1660)	Prec@1 51.562 (45.264)	Prec@5 74.219 (75.799)
Epoch: [51][2950/14090]	Time 0.741 (0.769)	Data 0.001 (0.003)	Loss 2.0511 (2.1659)	Prec@1 49.219 (45.271)	Prec@5 81.250 (75.803)
Epoch: [51][2960/14090]	Time 0.765 (0.769)	Data 0.001 (0.003)	Loss 2.4298 (2.1663)	Prec@1 48.438 (45.268)	Prec@5 65.625 (75.797)
Epoch: [51][2970/14090]	Time 0.758 (0.769)	Data 0.001 (0.003)	Loss 1.9282 (2.1661)	Prec@1 50.000 (45.277)	Prec@5 76.562 (75.798)
Epoch: [51][2980/14090]	Time 0.862 (0.769)	Data 0.001 (0.003)	Loss 2.5317 (2.1661)	Prec@1 35.156 (45.275)	Prec@5 70.312 (75.799)
Epoch: [51][2990/14090]	Time 0.761 (0.769)	Data 0.002 (0.003)	Loss 2.0863 (2.1665)	Prec@1 43.750 (45.269)	Prec@5 75.781 (75.792)
Epoch: [51][3000/14090]	Time 0.740 (0.769)	Data 0.001 (0.003)	Loss 2.2245 (2.1666)	Prec@1 47.656 (45.266)	Prec@5 74.219 (75.789)
Epoch: [51][3010/14090]	Time 0.746 (0.769)	Data 0.001 (0.003)	Loss 2.0727 (2.1665)	Prec@1 46.875 (45.268)	Prec@5 77.344 (75.790)
Epoch: [51][3020/14090]	Time 0.734 (0.769)	Data 0.001 (0.003)	Loss 2.1055 (2.1666)	Prec@1 47.656 (45.269)	Prec@5 75.000 (75.787)
Epoch: [51][3030/14090]	Time 0.755 (0.769)	Data 0.001 (0.003)	Loss 2.2324 (2.1667)	Prec@1 46.094 (45.267)	Prec@5 78.906 (75.789)
Epoch: [51][3040/14090]	Time 0.736 (0.769)	Data 0.001 (0.003)	Loss 2.0942 (2.1667)	Prec@1 47.656 (45.265)	Prec@5 80.469 (75.788)
Epoch: [51][3050/14090]	Time 0.931 (0.769)	Data 0.003 (0.003)	Loss 2.0936 (2.1665)	Prec@1 42.969 (45.269)	Prec@5 75.781 (75.787)
Epoch: [51][3060/14090]	Time 0.730 (0.769)	Data 0.001 (0.003)	Loss 2.0385 (2.1665)	Prec@1 49.219 (45.266)	Prec@5 76.562 (75.788)
Epoch: [51][3070/14090]	Time 0.762 (0.769)	Data 0.001 (0.003)	Loss 2.1611 (2.1667)	Prec@1 47.656 (45.262)	Prec@5 78.906 (75.783)
Epoch: [51][3080/14090]	Time 0.739 (0.769)	Data 0.003 (0.003)	Loss 1.9501 (2.1662)	Prec@1 48.438 (45.273)	Prec@5 75.781 (75.790)
Epoch: [51][3090/14090]	Time 0.725 (0.769)	Data 0.001 (0.003)	Loss 2.2040 (2.1664)	Prec@1 42.188 (45.267)	Prec@5 71.094 (75.787)
Epoch: [51][3100/14090]	Time 0.745 (0.769)	Data 0.001 (0.003)	Loss 2.1770 (2.1665)	Prec@1 42.188 (45.266)	Prec@5 74.219 (75.781)
Epoch: [51][3110/14090]	Time 0.736 (0.769)	Data 0.002 (0.003)	Loss 2.3885 (2.1671)	Prec@1 42.969 (45.256)	Prec@5 67.188 (75.763)
Epoch: [51][3120/14090]	Time 0.887 (0.769)	Data 0.001 (0.003)	Loss 2.0254 (2.1670)	Prec@1 46.875 (45.255)	Prec@5 79.688 (75.764)
Epoch: [51][3130/14090]	Time 0.747 (0.769)	Data 0.001 (0.003)	Loss 1.7968 (2.1669)	Prec@1 52.344 (45.261)	Prec@5 80.469 (75.765)
Epoch: [51][3140/14090]	Time 0.734 (0.769)	Data 0.001 (0.003)	Loss 2.3167 (2.1671)	Prec@1 38.281 (45.257)	Prec@5 72.656 (75.760)
Epoch: [51][3150/14090]	Time 0.763 (0.769)	Data 0.001 (0.003)	Loss 2.0427 (2.1673)	Prec@1 52.344 (45.253)	Prec@5 78.906 (75.755)
Epoch: [51][3160/14090]	Time 0.756 (0.769)	Data 0.001 (0.003)	Loss 1.7591 (2.1673)	Prec@1 52.344 (45.253)	Prec@5 84.375 (75.755)
Epoch: [51][3170/14090]	Time 0.772 (0.769)	Data 0.001 (0.002)	Loss 2.3802 (2.1671)	Prec@1 36.719 (45.261)	Prec@5 67.969 (75.762)
Epoch: [51][3180/14090]	Time 0.724 (0.769)	Data 0.001 (0.002)	Loss 2.4128 (2.1668)	Prec@1 37.500 (45.268)	Prec@5 69.531 (75.766)
Epoch: [51][3190/14090]	Time 0.871 (0.769)	Data 0.001 (0.002)	Loss 2.3706 (2.1670)	Prec@1 42.188 (45.266)	Prec@5 74.219 (75.764)
Epoch: [51][3200/14090]	Time 0.729 (0.769)	Data 0.001 (0.002)	Loss 2.0614 (2.1672)	Prec@1 47.656 (45.266)	Prec@5 82.031 (75.764)
Epoch: [51][3210/14090]	Time 0.733 (0.769)	Data 0.001 (0.002)	Loss 2.1715 (2.1670)	Prec@1 47.656 (45.270)	Prec@5 75.781 (75.768)
Epoch: [51][3220/14090]	Time 0.723 (0.769)	Data 0.001 (0.002)	Loss 1.9837 (2.1671)	Prec@1 47.656 (45.267)	Prec@5 81.250 (75.769)
Epoch: [51][3230/14090]	Time 0.728 (0.769)	Data 0.001 (0.002)	Loss 1.9720 (2.1671)	Prec@1 51.562 (45.268)	Prec@5 80.469 (75.769)
Epoch: [51][3240/14090]	Time 0.736 (0.769)	Data 0.001 (0.002)	Loss 2.2154 (2.1672)	Prec@1 40.625 (45.268)	Prec@5 72.656 (75.764)
Epoch: [51][3250/14090]	Time 0.731 (0.769)	Data 0.001 (0.002)	Loss 2.1109 (2.1673)	Prec@1 48.438 (45.268)	Prec@5 75.781 (75.764)
Epoch: [51][3260/14090]	Time 0.859 (0.769)	Data 0.001 (0.002)	Loss 2.3390 (2.1674)	Prec@1 38.281 (45.266)	Prec@5 73.438 (75.761)
Epoch: [51][3270/14090]	Time 0.746 (0.769)	Data 0.001 (0.002)	Loss 2.0454 (2.1676)	Prec@1 48.438 (45.259)	Prec@5 76.562 (75.751)
Epoch: [51][3280/14090]	Time 0.757 (0.769)	Data 0.001 (0.002)	Loss 2.0672 (2.1676)	Prec@1 46.875 (45.254)	Prec@5 76.562 (75.753)
Epoch: [51][3290/14090]	Time 0.771 (0.769)	Data 0.001 (0.002)	Loss 1.9752 (2.1674)	Prec@1 50.781 (45.263)	Prec@5 82.031 (75.753)
Epoch: [51][3300/14090]	Time 0.726 (0.769)	Data 0.001 (0.002)	Loss 2.2556 (2.1674)	Prec@1 40.625 (45.259)	Prec@5 72.656 (75.751)
Epoch: [51][3310/14090]	Time 0.754 (0.769)	Data 0.001 (0.002)	Loss 2.3334 (2.1677)	Prec@1 43.750 (45.252)	Prec@5 75.781 (75.746)
Epoch: [51][3320/14090]	Time 0.781 (0.769)	Data 0.001 (0.002)	Loss 2.1602 (2.1677)	Prec@1 43.750 (45.255)	Prec@5 71.094 (75.745)
Epoch: [51][3330/14090]	Time 0.853 (0.769)	Data 0.001 (0.002)	Loss 2.0945 (2.1677)	Prec@1 45.312 (45.254)	Prec@5 80.469 (75.744)
Epoch: [51][3340/14090]	Time 0.745 (0.769)	Data 0.001 (0.002)	Loss 2.5396 (2.1677)	Prec@1 34.375 (45.257)	Prec@5 69.531 (75.741)
Epoch: [51][3350/14090]	Time 0.750 (0.769)	Data 0.001 (0.002)	Loss 2.0686 (2.1675)	Prec@1 47.656 (45.258)	Prec@5 77.344 (75.747)
Epoch: [51][3360/14090]	Time 0.780 (0.769)	Data 0.001 (0.002)	Loss 2.1140 (2.1676)	Prec@1 41.406 (45.257)	Prec@5 75.000 (75.744)
Epoch: [51][3370/14090]	Time 0.752 (0.769)	Data 0.001 (0.002)	Loss 2.3689 (2.1679)	Prec@1 42.188 (45.246)	Prec@5 71.094 (75.738)
Epoch: [51][3380/14090]	Time 0.760 (0.769)	Data 0.001 (0.002)	Loss 2.2314 (2.1680)	Prec@1 46.094 (45.243)	Prec@5 72.656 (75.738)
Epoch: [51][3390/14090]	Time 0.776 (0.769)	Data 0.001 (0.002)	Loss 2.0830 (2.1681)	Prec@1 47.656 (45.239)	Prec@5 78.125 (75.737)
Epoch: [51][3400/14090]	Time 0.888 (0.769)	Data 0.001 (0.002)	Loss 2.1855 (2.1681)	Prec@1 43.750 (45.239)	Prec@5 82.812 (75.741)
Epoch: [51][3410/14090]	Time 0.722 (0.769)	Data 0.001 (0.002)	Loss 2.4477 (2.1684)	Prec@1 39.062 (45.230)	Prec@5 71.094 (75.737)
Epoch: [51][3420/14090]	Time 0.729 (0.769)	Data 0.001 (0.002)	Loss 2.3719 (2.1686)	Prec@1 45.312 (45.226)	Prec@5 68.750 (75.731)
Epoch: [51][3430/14090]	Time 0.778 (0.769)	Data 0.001 (0.002)	Loss 2.3755 (2.1689)	Prec@1 39.844 (45.218)	Prec@5 72.656 (75.728)
Epoch: [51][3440/14090]	Time 0.736 (0.769)	Data 0.001 (0.002)	Loss 2.2530 (2.1688)	Prec@1 46.875 (45.224)	Prec@5 73.438 (75.729)
Epoch: [51][3450/14090]	Time 0.745 (0.769)	Data 0.001 (0.002)	Loss 2.0448 (2.1690)	Prec@1 47.656 (45.219)	Prec@5 79.688 (75.725)
Epoch: [51][3460/14090]	Time 0.730 (0.769)	Data 0.001 (0.002)	Loss 2.0698 (2.1692)	Prec@1 39.844 (45.210)	Prec@5 75.781 (75.721)
Epoch: [51][3470/14090]	Time 0.867 (0.769)	Data 0.001 (0.002)	Loss 2.1210 (2.1692)	Prec@1 46.094 (45.208)	Prec@5 75.000 (75.720)
Epoch: [51][3480/14090]	Time 0.758 (0.769)	Data 0.001 (0.002)	Loss 2.1598 (2.1693)	Prec@1 44.531 (45.207)	Prec@5 75.781 (75.716)
Epoch: [51][3490/14090]	Time 0.749 (0.769)	Data 0.001 (0.002)	Loss 2.3054 (2.1693)	Prec@1 43.750 (45.205)	Prec@5 78.125 (75.714)
Epoch: [51][3500/14090]	Time 0.777 (0.769)	Data 0.001 (0.002)	Loss 2.2996 (2.1694)	Prec@1 39.062 (45.199)	Prec@5 71.875 (75.714)
Epoch: [51][3510/14090]	Time 0.736 (0.769)	Data 0.001 (0.002)	Loss 2.0827 (2.1693)	Prec@1 51.562 (45.206)	Prec@5 75.000 (75.721)
Epoch: [51][3520/14090]	Time 0.757 (0.769)	Data 0.001 (0.002)	Loss 2.3774 (2.1695)	Prec@1 42.188 (45.200)	Prec@5 71.875 (75.718)
Epoch: [51][3530/14090]	Time 0.754 (0.769)	Data 0.001 (0.002)	Loss 2.1236 (2.1694)	Prec@1 51.562 (45.206)	Prec@5 76.562 (75.722)
Epoch: [51][3540/14090]	Time 0.873 (0.769)	Data 0.001 (0.002)	Loss 2.2294 (2.1693)	Prec@1 47.656 (45.209)	Prec@5 72.656 (75.722)
Epoch: [51][3550/14090]	Time 0.731 (0.769)	Data 0.001 (0.002)	Loss 2.1614 (2.1693)	Prec@1 42.188 (45.204)	Prec@5 77.344 (75.719)
Epoch: [51][3560/14090]	Time 0.779 (0.769)	Data 0.001 (0.002)	Loss 2.0883 (2.1694)	Prec@1 42.969 (45.201)	Prec@5 78.125 (75.714)
Epoch: [51][3570/14090]	Time 0.772 (0.769)	Data 0.001 (0.002)	Loss 1.8997 (2.1694)	Prec@1 52.344 (45.197)	Prec@5 77.344 (75.715)
Epoch: [51][3580/14090]	Time 0.733 (0.769)	Data 0.001 (0.002)	Loss 1.7864 (2.1692)	Prec@1 52.344 (45.205)	Prec@5 83.594 (75.718)
Epoch: [51][3590/14090]	Time 0.750 (0.769)	Data 0.001 (0.002)	Loss 2.4439 (2.1692)	Prec@1 35.156 (45.204)	Prec@5 70.312 (75.716)
Epoch: [51][3600/14090]	Time 0.727 (0.769)	Data 0.001 (0.002)	Loss 1.9318 (2.1690)	Prec@1 44.531 (45.210)	Prec@5 81.250 (75.720)
Epoch: [51][3610/14090]	Time 0.842 (0.769)	Data 0.001 (0.002)	Loss 2.2062 (2.1689)	Prec@1 43.750 (45.216)	Prec@5 81.250 (75.727)
Epoch: [51][3620/14090]	Time 0.732 (0.769)	Data 0.001 (0.002)	Loss 2.1363 (2.1687)	Prec@1 42.969 (45.217)	Prec@5 75.781 (75.727)
Epoch: [51][3630/14090]	Time 0.780 (0.769)	Data 0.001 (0.002)	Loss 2.2430 (2.1691)	Prec@1 39.062 (45.209)	Prec@5 78.125 (75.725)
Epoch: [51][3640/14090]	Time 0.735 (0.769)	Data 0.001 (0.002)	Loss 1.7725 (2.1690)	Prec@1 52.344 (45.217)	Prec@5 82.812 (75.727)
Epoch: [51][3650/14090]	Time 0.741 (0.769)	Data 0.001 (0.002)	Loss 2.0489 (2.1689)	Prec@1 48.438 (45.218)	Prec@5 80.469 (75.728)
Epoch: [51][3660/14090]	Time 0.753 (0.769)	Data 0.001 (0.002)	Loss 2.2962 (2.1689)	Prec@1 41.406 (45.218)	Prec@5 75.000 (75.729)
Epoch: [51][3670/14090]	Time 0.784 (0.769)	Data 0.001 (0.002)	Loss 2.5435 (2.1691)	Prec@1 39.062 (45.215)	Prec@5 71.094 (75.725)
Epoch: [51][3680/14090]	Time 0.865 (0.769)	Data 0.001 (0.002)	Loss 2.2308 (2.1692)	Prec@1 46.875 (45.214)	Prec@5 71.875 (75.720)
Epoch: [51][3690/14090]	Time 0.730 (0.769)	Data 0.001 (0.002)	Loss 2.0243 (2.1689)	Prec@1 43.750 (45.215)	Prec@5 76.562 (75.723)
Epoch: [51][3700/14090]	Time 0.738 (0.769)	Data 0.001 (0.002)	Loss 2.1283 (2.1690)	Prec@1 46.094 (45.210)	Prec@5 78.125 (75.723)
Epoch: [51][3710/14090]	Time 0.753 (0.769)	Data 0.001 (0.002)	Loss 1.8565 (2.1689)	Prec@1 53.125 (45.211)	Prec@5 81.250 (75.728)
Epoch: [51][3720/14090]	Time 0.744 (0.769)	Data 0.001 (0.002)	Loss 2.2001 (2.1690)	Prec@1 42.188 (45.206)	Prec@5 73.438 (75.726)
Epoch: [51][3730/14090]	Time 0.768 (0.769)	Data 0.001 (0.002)	Loss 1.9984 (2.1689)	Prec@1 48.438 (45.208)	Prec@5 75.781 (75.730)
Epoch: [51][3740/14090]	Time 0.741 (0.769)	Data 0.001 (0.002)	Loss 2.3036 (2.1689)	Prec@1 42.969 (45.205)	Prec@5 76.562 (75.731)
Epoch: [51][3750/14090]	Time 0.877 (0.769)	Data 0.001 (0.002)	Loss 2.1896 (2.1690)	Prec@1 44.531 (45.205)	Prec@5 79.688 (75.729)
Epoch: [51][3760/14090]	Time 0.725 (0.769)	Data 0.001 (0.002)	Loss 1.9393 (2.1691)	Prec@1 46.094 (45.206)	Prec@5 78.906 (75.723)
Epoch: [51][3770/14090]	Time 0.740 (0.769)	Data 0.001 (0.002)	Loss 1.8611 (2.1692)	Prec@1 50.000 (45.202)	Prec@5 81.250 (75.724)
Epoch: [51][3780/14090]	Time 0.781 (0.769)	Data 0.001 (0.002)	Loss 1.8980 (2.1693)	Prec@1 55.469 (45.201)	Prec@5 76.562 (75.717)
Epoch: [51][3790/14090]	Time 0.727 (0.769)	Data 0.001 (0.002)	Loss 2.0708 (2.1695)	Prec@1 45.312 (45.197)	Prec@5 78.125 (75.720)
Epoch: [51][3800/14090]	Time 0.746 (0.769)	Data 0.001 (0.002)	Loss 2.1213 (2.1696)	Prec@1 46.094 (45.193)	Prec@5 75.781 (75.719)
Epoch: [51][3810/14090]	Time 0.780 (0.769)	Data 0.001 (0.002)	Loss 2.4392 (2.1699)	Prec@1 40.625 (45.191)	Prec@5 67.969 (75.710)
Epoch: [51][3820/14090]	Time 0.860 (0.769)	Data 0.001 (0.002)	Loss 2.2081 (2.1699)	Prec@1 44.531 (45.192)	Prec@5 71.875 (75.708)
Epoch: [51][3830/14090]	Time 0.772 (0.769)	Data 0.001 (0.002)	Loss 2.0423 (2.1697)	Prec@1 52.344 (45.194)	Prec@5 78.125 (75.706)
Epoch: [51][3840/14090]	Time 0.729 (0.769)	Data 0.001 (0.002)	Loss 2.0644 (2.1696)	Prec@1 47.656 (45.192)	Prec@5 73.438 (75.707)
Epoch: [51][3850/14090]	Time 0.747 (0.769)	Data 0.001 (0.002)	Loss 2.4898 (2.1698)	Prec@1 41.406 (45.186)	Prec@5 68.750 (75.703)
Epoch: [51][3860/14090]	Time 0.725 (0.769)	Data 0.001 (0.002)	Loss 2.4622 (2.1699)	Prec@1 39.062 (45.187)	Prec@5 71.094 (75.699)
Epoch: [51][3870/14090]	Time 0.776 (0.769)	Data 0.001 (0.002)	Loss 2.1986 (2.1700)	Prec@1 41.406 (45.189)	Prec@5 78.125 (75.695)
Epoch: [51][3880/14090]	Time 0.755 (0.769)	Data 0.001 (0.002)	Loss 2.3349 (2.1700)	Prec@1 39.062 (45.185)	Prec@5 74.219 (75.695)
Epoch: [51][3890/14090]	Time 0.850 (0.769)	Data 0.001 (0.002)	Loss 1.8430 (2.1700)	Prec@1 50.781 (45.185)	Prec@5 82.031 (75.697)
Epoch: [51][3900/14090]	Time 0.743 (0.769)	Data 0.001 (0.002)	Loss 2.2105 (2.1702)	Prec@1 47.656 (45.179)	Prec@5 78.125 (75.693)
Epoch: [51][3910/14090]	Time 0.751 (0.769)	Data 0.001 (0.002)	Loss 2.2388 (2.1702)	Prec@1 42.969 (45.178)	Prec@5 71.875 (75.693)
Epoch: [51][3920/14090]	Time 0.738 (0.769)	Data 0.001 (0.002)	Loss 1.9748 (2.1701)	Prec@1 46.875 (45.177)	Prec@5 78.125 (75.696)
Epoch: [51][3930/14090]	Time 0.742 (0.769)	Data 0.001 (0.002)	Loss 2.4056 (2.1703)	Prec@1 43.750 (45.182)	Prec@5 71.875 (75.693)
Epoch: [51][3940/14090]	Time 0.743 (0.769)	Data 0.001 (0.002)	Loss 1.9611 (2.1701)	Prec@1 49.219 (45.188)	Prec@5 78.906 (75.692)
Epoch: [51][3950/14090]	Time 0.741 (0.769)	Data 0.001 (0.002)	Loss 1.9995 (2.1701)	Prec@1 42.969 (45.186)	Prec@5 78.125 (75.692)
Epoch: [51][3960/14090]	Time 0.869 (0.769)	Data 0.001 (0.002)	Loss 2.0383 (2.1701)	Prec@1 43.750 (45.184)	Prec@5 79.688 (75.696)
Epoch: [51][3970/14090]	Time 0.729 (0.769)	Data 0.001 (0.002)	Loss 2.1277 (2.1703)	Prec@1 46.875 (45.185)	Prec@5 76.562 (75.692)
Epoch: [51][3980/14090]	Time 0.739 (0.769)	Data 0.001 (0.002)	Loss 2.4769 (2.1702)	Prec@1 39.062 (45.187)	Prec@5 71.875 (75.695)
Epoch: [51][3990/14090]	Time 0.775 (0.769)	Data 0.001 (0.002)	Loss 2.0564 (2.1700)	Prec@1 48.438 (45.189)	Prec@5 78.906 (75.700)
Epoch: [51][4000/14090]	Time 0.756 (0.769)	Data 0.001 (0.002)	Loss 2.1791 (2.1700)	Prec@1 46.875 (45.185)	Prec@5 78.906 (75.704)
Epoch: [51][4010/14090]	Time 0.731 (0.769)	Data 0.001 (0.002)	Loss 2.3169 (2.1699)	Prec@1 45.312 (45.184)	Prec@5 72.656 (75.704)
Epoch: [51][4020/14090]	Time 0.777 (0.769)	Data 0.001 (0.002)	Loss 2.1923 (2.1698)	Prec@1 42.188 (45.185)	Prec@5 77.344 (75.706)
Epoch: [51][4030/14090]	Time 0.874 (0.769)	Data 0.001 (0.002)	Loss 2.0398 (2.1700)	Prec@1 50.000 (45.182)	Prec@5 75.781 (75.701)
Epoch: [51][4040/14090]	Time 0.731 (0.769)	Data 0.001 (0.002)	Loss 2.1999 (2.1698)	Prec@1 46.875 (45.187)	Prec@5 71.875 (75.705)
Epoch: [51][4050/14090]	Time 0.738 (0.769)	Data 0.001 (0.002)	Loss 2.0430 (2.1700)	Prec@1 51.562 (45.185)	Prec@5 80.469 (75.700)
Epoch: [51][4060/14090]	Time 0.751 (0.769)	Data 0.001 (0.002)	Loss 2.1022 (2.1701)	Prec@1 47.656 (45.188)	Prec@5 75.000 (75.700)
Epoch: [51][4070/14090]	Time 0.732 (0.769)	Data 0.001 (0.002)	Loss 2.1420 (2.1700)	Prec@1 46.875 (45.188)	Prec@5 73.438 (75.702)
Epoch: [51][4080/14090]	Time 0.756 (0.769)	Data 0.001 (0.002)	Loss 2.3080 (2.1700)	Prec@1 45.312 (45.191)	Prec@5 70.312 (75.705)
Epoch: [51][4090/14090]	Time 0.783 (0.769)	Data 0.001 (0.002)	Loss 1.9677 (2.1699)	Prec@1 46.875 (45.194)	Prec@5 76.562 (75.705)
Epoch: [51][4100/14090]	Time 0.854 (0.769)	Data 0.001 (0.002)	Loss 2.2621 (2.1701)	Prec@1 47.656 (45.190)	Prec@5 75.781 (75.702)
Epoch: [51][4110/14090]	Time 0.749 (0.769)	Data 0.001 (0.002)	Loss 2.4696 (2.1701)	Prec@1 39.062 (45.191)	Prec@5 69.531 (75.700)
Epoch: [51][4120/14090]	Time 0.730 (0.769)	Data 0.001 (0.002)	Loss 2.1624 (2.1702)	Prec@1 49.219 (45.192)	Prec@5 71.875 (75.698)
Epoch: [51][4130/14090]	Time 0.781 (0.769)	Data 0.001 (0.002)	Loss 2.1488 (2.1704)	Prec@1 38.281 (45.186)	Prec@5 74.219 (75.696)
Epoch: [51][4140/14090]	Time 0.734 (0.769)	Data 0.001 (0.002)	Loss 2.2782 (2.1704)	Prec@1 44.531 (45.185)	Prec@5 74.219 (75.694)
Epoch: [51][4150/14090]	Time 0.753 (0.769)	Data 0.001 (0.002)	Loss 2.1101 (2.1705)	Prec@1 40.625 (45.182)	Prec@5 75.781 (75.693)
Epoch: [51][4160/14090]	Time 0.737 (0.769)	Data 0.001 (0.002)	Loss 2.1300 (2.1706)	Prec@1 46.094 (45.179)	Prec@5 75.781 (75.688)
Epoch: [51][4170/14090]	Time 0.875 (0.769)	Data 0.002 (0.002)	Loss 2.1075 (2.1709)	Prec@1 41.406 (45.173)	Prec@5 78.906 (75.686)
Epoch: [51][4180/14090]	Time 0.730 (0.769)	Data 0.001 (0.002)	Loss 2.0726 (2.1709)	Prec@1 44.531 (45.173)	Prec@5 78.906 (75.684)
Epoch: [51][4190/14090]	Time 0.762 (0.769)	Data 0.001 (0.002)	Loss 2.0140 (2.1710)	Prec@1 46.094 (45.170)	Prec@5 76.562 (75.684)
Epoch: [51][4200/14090]	Time 0.727 (0.769)	Data 0.001 (0.002)	Loss 2.4654 (2.1711)	Prec@1 42.969 (45.167)	Prec@5 70.312 (75.682)
Epoch: [51][4210/14090]	Time 0.756 (0.769)	Data 0.001 (0.002)	Loss 2.3901 (2.1711)	Prec@1 42.188 (45.170)	Prec@5 71.875 (75.681)
Epoch: [51][4220/14090]	Time 0.760 (0.769)	Data 0.001 (0.002)	Loss 2.4790 (2.1711)	Prec@1 42.188 (45.171)	Prec@5 68.750 (75.681)
Epoch: [51][4230/14090]	Time 0.737 (0.769)	Data 0.001 (0.002)	Loss 2.5059 (2.1709)	Prec@1 38.281 (45.175)	Prec@5 67.188 (75.684)
Epoch: [51][4240/14090]	Time 0.903 (0.769)	Data 0.001 (0.002)	Loss 1.9822 (2.1710)	Prec@1 49.219 (45.172)	Prec@5 82.812 (75.682)
Epoch: [51][4250/14090]	Time 0.797 (0.769)	Data 0.001 (0.002)	Loss 2.2879 (2.1710)	Prec@1 46.094 (45.175)	Prec@5 75.000 (75.683)
Epoch: [51][4260/14090]	Time 0.782 (0.769)	Data 0.001 (0.002)	Loss 1.9918 (2.1708)	Prec@1 49.219 (45.178)	Prec@5 82.031 (75.687)
Epoch: [51][4270/14090]	Time 0.751 (0.769)	Data 0.001 (0.002)	Loss 2.3004 (2.1709)	Prec@1 45.312 (45.179)	Prec@5 74.219 (75.686)
Epoch: [51][4280/14090]	Time 0.775 (0.769)	Data 0.001 (0.002)	Loss 1.9443 (2.1709)	Prec@1 51.562 (45.178)	Prec@5 79.688 (75.682)
Epoch: [51][4290/14090]	Time 0.760 (0.769)	Data 0.001 (0.002)	Loss 2.1508 (2.1709)	Prec@1 46.094 (45.179)	Prec@5 82.031 (75.685)
Epoch: [51][4300/14090]	Time 0.777 (0.769)	Data 0.001 (0.002)	Loss 2.1962 (2.1709)	Prec@1 46.875 (45.180)	Prec@5 72.656 (75.684)
Epoch: [51][4310/14090]	Time 0.894 (0.769)	Data 0.001 (0.002)	Loss 2.0839 (2.1709)	Prec@1 53.906 (45.180)	Prec@5 77.344 (75.680)
Epoch: [51][4320/14090]	Time 0.734 (0.769)	Data 0.001 (0.002)	Loss 2.1548 (2.1709)	Prec@1 46.875 (45.180)	Prec@5 78.125 (75.679)
Epoch: [51][4330/14090]	Time 0.754 (0.769)	Data 0.001 (0.002)	Loss 2.4591 (2.1710)	Prec@1 47.656 (45.177)	Prec@5 69.531 (75.679)
Epoch: [51][4340/14090]	Time 0.753 (0.769)	Data 0.001 (0.002)	Loss 1.9544 (2.1708)	Prec@1 54.688 (45.180)	Prec@5 78.125 (75.685)
Epoch: [51][4350/14090]	Time 0.736 (0.769)	Data 0.001 (0.002)	Loss 2.1634 (2.1707)	Prec@1 44.531 (45.181)	Prec@5 79.688 (75.686)
Epoch: [51][4360/14090]	Time 0.748 (0.769)	Data 0.001 (0.002)	Loss 2.3172 (2.1709)	Prec@1 40.625 (45.179)	Prec@5 75.781 (75.685)
Epoch: [51][4370/14090]	Time 0.733 (0.769)	Data 0.002 (0.002)	Loss 2.0836 (2.1710)	Prec@1 48.438 (45.178)	Prec@5 82.812 (75.684)
Epoch: [51][4380/14090]	Time 0.866 (0.769)	Data 0.001 (0.002)	Loss 2.2053 (2.1712)	Prec@1 45.312 (45.177)	Prec@5 75.000 (75.680)
Epoch: [51][4390/14090]	Time 0.741 (0.769)	Data 0.001 (0.002)	Loss 2.2525 (2.1710)	Prec@1 40.625 (45.179)	Prec@5 74.219 (75.685)
Epoch: [51][4400/14090]	Time 0.752 (0.769)	Data 0.001 (0.002)	Loss 2.3710 (2.1711)	Prec@1 34.375 (45.175)	Prec@5 81.250 (75.686)
Epoch: [51][4410/14090]	Time 0.776 (0.769)	Data 0.001 (0.002)	Loss 2.0176 (2.1712)	Prec@1 52.344 (45.174)	Prec@5 78.125 (75.685)
Epoch: [51][4420/14090]	Time 0.735 (0.769)	Data 0.001 (0.002)	Loss 2.2136 (2.1712)	Prec@1 41.406 (45.171)	Prec@5 76.562 (75.685)
Epoch: [51][4430/14090]	Time 0.759 (0.769)	Data 0.001 (0.002)	Loss 1.9790 (2.1712)	Prec@1 50.781 (45.175)	Prec@5 81.250 (75.685)
Epoch: [51][4440/14090]	Time 0.740 (0.769)	Data 0.001 (0.002)	Loss 2.1930 (2.1712)	Prec@1 48.438 (45.177)	Prec@5 76.562 (75.688)
Epoch: [51][4450/14090]	Time 0.864 (0.769)	Data 0.001 (0.002)	Loss 2.1947 (2.1712)	Prec@1 43.750 (45.175)	Prec@5 79.688 (75.689)
Epoch: [51][4460/14090]	Time 0.750 (0.769)	Data 0.001 (0.002)	Loss 2.3968 (2.1713)	Prec@1 42.969 (45.175)	Prec@5 71.094 (75.687)
Epoch: [51][4470/14090]	Time 0.748 (0.769)	Data 0.001 (0.002)	Loss 2.0942 (2.1712)	Prec@1 54.688 (45.177)	Prec@5 75.000 (75.685)
Epoch: [51][4480/14090]	Time 0.734 (0.769)	Data 0.001 (0.002)	Loss 2.2474 (2.1713)	Prec@1 39.844 (45.172)	Prec@5 77.344 (75.686)
Epoch: [51][4490/14090]	Time 0.782 (0.769)	Data 0.001 (0.002)	Loss 2.1934 (2.1712)	Prec@1 44.531 (45.176)	Prec@5 75.000 (75.690)
Epoch: [51][4500/14090]	Time 0.739 (0.769)	Data 0.001 (0.002)	Loss 2.0294 (2.1711)	Prec@1 42.188 (45.175)	Prec@5 85.156 (75.691)
Epoch: [51][4510/14090]	Time 0.751 (0.769)	Data 0.001 (0.002)	Loss 2.4098 (2.1711)	Prec@1 39.844 (45.174)	Prec@5 75.781 (75.691)
Epoch: [51][4520/14090]	Time 0.849 (0.769)	Data 0.001 (0.002)	Loss 2.4236 (2.1711)	Prec@1 39.062 (45.172)	Prec@5 75.000 (75.692)
Epoch: [51][4530/14090]	Time 0.726 (0.769)	Data 0.001 (0.002)	Loss 2.2345 (2.1712)	Prec@1 39.062 (45.170)	Prec@5 71.094 (75.693)
Epoch: [51][4540/14090]	Time 0.752 (0.769)	Data 0.001 (0.002)	Loss 1.9775 (2.1713)	Prec@1 49.219 (45.169)	Prec@5 80.469 (75.691)
Epoch: [51][4550/14090]	Time 0.733 (0.769)	Data 0.002 (0.002)	Loss 2.1632 (2.1711)	Prec@1 41.406 (45.171)	Prec@5 75.000 (75.692)
Epoch: [51][4560/14090]	Time 0.728 (0.769)	Data 0.001 (0.002)	Loss 2.3045 (2.1711)	Prec@1 46.875 (45.170)	Prec@5 78.125 (75.695)
Epoch: [51][4570/14090]	Time 0.773 (0.769)	Data 0.002 (0.002)	Loss 2.1165 (2.1711)	Prec@1 43.750 (45.167)	Prec@5 73.438 (75.694)
Epoch: [51][4580/14090]	Time 0.764 (0.769)	Data 0.001 (0.002)	Loss 2.2323 (2.1710)	Prec@1 46.094 (45.171)	Prec@5 74.219 (75.696)
Epoch: [51][4590/14090]	Time 0.881 (0.769)	Data 0.001 (0.002)	Loss 1.9080 (2.1710)	Prec@1 48.438 (45.170)	Prec@5 85.156 (75.696)
Epoch: [51][4600/14090]	Time 0.771 (0.769)	Data 0.001 (0.002)	Loss 1.9725 (2.1711)	Prec@1 52.344 (45.168)	Prec@5 80.469 (75.694)
Epoch: [51][4610/14090]	Time 0.757 (0.769)	Data 0.002 (0.002)	Loss 2.3095 (2.1710)	Prec@1 39.844 (45.166)	Prec@5 70.312 (75.696)
Epoch: [51][4620/14090]	Time 0.757 (0.769)	Data 0.001 (0.002)	Loss 1.6344 (2.1709)	Prec@1 55.469 (45.165)	Prec@5 88.281 (75.700)
Epoch: [51][4630/14090]	Time 0.774 (0.769)	Data 0.001 (0.002)	Loss 1.8827 (2.1707)	Prec@1 54.688 (45.171)	Prec@5 77.344 (75.705)
Epoch: [51][4640/14090]	Time 0.763 (0.769)	Data 0.001 (0.002)	Loss 2.1255 (2.1707)	Prec@1 50.781 (45.170)	Prec@5 78.125 (75.707)
Epoch: [51][4650/14090]	Time 0.746 (0.769)	Data 0.001 (0.002)	Loss 2.3632 (2.1707)	Prec@1 37.500 (45.168)	Prec@5 71.094 (75.706)
Epoch: [51][4660/14090]	Time 0.864 (0.769)	Data 0.001 (0.002)	Loss 2.1274 (2.1707)	Prec@1 45.312 (45.170)	Prec@5 74.219 (75.708)
Epoch: [51][4670/14090]	Time 0.736 (0.769)	Data 0.001 (0.002)	Loss 1.9306 (2.1706)	Prec@1 50.781 (45.171)	Prec@5 78.906 (75.707)
Epoch: [51][4680/14090]	Time 0.780 (0.769)	Data 0.001 (0.002)	Loss 2.4944 (2.1708)	Prec@1 46.875 (45.172)	Prec@5 72.656 (75.706)
Epoch: [51][4690/14090]	Time 0.727 (0.769)	Data 0.001 (0.002)	Loss 1.9518 (2.1707)	Prec@1 47.656 (45.174)	Prec@5 79.688 (75.706)
Epoch: [51][4700/14090]	Time 0.729 (0.769)	Data 0.001 (0.002)	Loss 2.0417 (2.1703)	Prec@1 52.344 (45.185)	Prec@5 75.000 (75.712)
Epoch: [51][4710/14090]	Time 0.733 (0.769)	Data 0.001 (0.002)	Loss 2.2213 (2.1703)	Prec@1 39.062 (45.186)	Prec@5 71.094 (75.711)
Epoch: [51][4720/14090]	Time 0.745 (0.769)	Data 0.001 (0.002)	Loss 2.1611 (2.1700)	Prec@1 45.312 (45.193)	Prec@5 77.344 (75.716)
Epoch: [51][4730/14090]	Time 0.859 (0.769)	Data 0.001 (0.002)	Loss 2.2679 (2.1701)	Prec@1 41.406 (45.193)	Prec@5 71.875 (75.714)
Epoch: [51][4740/14090]	Time 0.736 (0.769)	Data 0.001 (0.002)	Loss 2.2860 (2.1702)	Prec@1 47.656 (45.190)	Prec@5 71.875 (75.710)
Epoch: [51][4750/14090]	Time 0.776 (0.769)	Data 0.001 (0.002)	Loss 2.0019 (2.1700)	Prec@1 47.656 (45.195)	Prec@5 78.906 (75.716)
Epoch: [51][4760/14090]	Time 0.753 (0.769)	Data 0.001 (0.002)	Loss 2.2852 (2.1700)	Prec@1 42.188 (45.193)	Prec@5 71.875 (75.715)
Epoch: [51][4770/14090]	Time 0.755 (0.769)	Data 0.001 (0.002)	Loss 2.1682 (2.1701)	Prec@1 48.438 (45.190)	Prec@5 76.562 (75.713)
Epoch: [51][4780/14090]	Time 0.743 (0.769)	Data 0.001 (0.002)	Loss 2.5133 (2.1703)	Prec@1 37.500 (45.187)	Prec@5 72.656 (75.707)
Epoch: [51][4790/14090]	Time 0.742 (0.769)	Data 0.001 (0.002)	Loss 2.3688 (2.1704)	Prec@1 41.406 (45.187)	Prec@5 71.094 (75.707)
Epoch: [51][4800/14090]	Time 0.862 (0.769)	Data 0.001 (0.002)	Loss 2.1504 (2.1703)	Prec@1 48.438 (45.193)	Prec@5 78.906 (75.711)
Epoch: [51][4810/14090]	Time 0.738 (0.769)	Data 0.001 (0.002)	Loss 2.2113 (2.1704)	Prec@1 38.281 (45.191)	Prec@5 78.125 (75.709)
Epoch: [51][4820/14090]	Time 0.739 (0.769)	Data 0.001 (0.002)	Loss 2.0834 (2.1706)	Prec@1 50.000 (45.184)	Prec@5 73.438 (75.704)
Epoch: [51][4830/14090]	Time 0.736 (0.769)	Data 0.001 (0.002)	Loss 2.3910 (2.1708)	Prec@1 43.750 (45.180)	Prec@5 70.312 (75.700)
Epoch: [51][4840/14090]	Time 0.747 (0.769)	Data 0.001 (0.002)	Loss 1.8564 (2.1709)	Prec@1 54.688 (45.179)	Prec@5 83.594 (75.697)
Epoch: [51][4850/14090]	Time 0.751 (0.769)	Data 0.001 (0.002)	Loss 2.3455 (2.1710)	Prec@1 39.062 (45.177)	Prec@5 70.312 (75.696)
Epoch: [51][4860/14090]	Time 0.759 (0.769)	Data 0.001 (0.002)	Loss 2.3276 (2.1712)	Prec@1 46.875 (45.176)	Prec@5 75.000 (75.690)
Epoch: [51][4870/14090]	Time 0.887 (0.769)	Data 0.001 (0.002)	Loss 2.1768 (2.1711)	Prec@1 41.406 (45.179)	Prec@5 75.000 (75.691)
Epoch: [51][4880/14090]	Time 0.730 (0.769)	Data 0.001 (0.002)	Loss 1.9414 (2.1712)	Prec@1 47.656 (45.180)	Prec@5 79.688 (75.690)
Epoch: [51][4890/14090]	Time 0.777 (0.769)	Data 0.001 (0.002)	Loss 2.2020 (2.1712)	Prec@1 43.750 (45.181)	Prec@5 71.875 (75.687)
Epoch: [51][4900/14090]	Time 0.728 (0.769)	Data 0.001 (0.002)	Loss 2.2455 (2.1712)	Prec@1 46.875 (45.182)	Prec@5 71.875 (75.688)
Epoch: [51][4910/14090]	Time 0.739 (0.769)	Data 0.001 (0.002)	Loss 2.2693 (2.1712)	Prec@1 41.406 (45.181)	Prec@5 71.094 (75.688)
Epoch: [51][4920/14090]	Time 0.723 (0.769)	Data 0.001 (0.002)	Loss 2.4239 (2.1712)	Prec@1 44.531 (45.180)	Prec@5 72.656 (75.689)
Epoch: [51][4930/14090]	Time 0.761 (0.769)	Data 0.001 (0.002)	Loss 2.1187 (2.1712)	Prec@1 48.438 (45.181)	Prec@5 76.562 (75.688)
Epoch: [51][4940/14090]	Time 0.871 (0.769)	Data 0.001 (0.002)	Loss 1.8991 (2.1712)	Prec@1 51.562 (45.178)	Prec@5 79.688 (75.687)
Epoch: [51][4950/14090]	Time 0.727 (0.769)	Data 0.001 (0.002)	Loss 2.2590 (2.1714)	Prec@1 39.844 (45.174)	Prec@5 70.312 (75.681)
Epoch: [51][4960/14090]	Time 0.746 (0.769)	Data 0.001 (0.002)	Loss 2.2661 (2.1715)	Prec@1 40.625 (45.172)	Prec@5 75.000 (75.679)
Epoch: [51][4970/14090]	Time 0.749 (0.769)	Data 0.001 (0.002)	Loss 2.0138 (2.1716)	Prec@1 47.656 (45.171)	Prec@5 75.781 (75.677)
Epoch: [51][4980/14090]	Time 0.727 (0.769)	Data 0.001 (0.002)	Loss 2.3520 (2.1717)	Prec@1 43.750 (45.169)	Prec@5 70.312 (75.674)
Epoch: [51][4990/14090]	Time 0.726 (0.769)	Data 0.001 (0.002)	Loss 1.9972 (2.1717)	Prec@1 47.656 (45.170)	Prec@5 82.812 (75.674)
Epoch: [51][5000/14090]	Time 0.729 (0.769)	Data 0.001 (0.002)	Loss 1.9642 (2.1716)	Prec@1 44.531 (45.173)	Prec@5 78.906 (75.675)
Epoch: [51][5010/14090]	Time 0.830 (0.769)	Data 0.001 (0.002)	Loss 2.1613 (2.1716)	Prec@1 49.219 (45.174)	Prec@5 75.781 (75.674)
Epoch: [51][5020/14090]	Time 0.748 (0.769)	Data 0.001 (0.002)	Loss 2.1694 (2.1716)	Prec@1 43.750 (45.175)	Prec@5 74.219 (75.674)
Epoch: [51][5030/14090]	Time 0.765 (0.769)	Data 0.001 (0.002)	Loss 2.0384 (2.1715)	Prec@1 49.219 (45.177)	Prec@5 80.469 (75.676)
Epoch: [51][5040/14090]	Time 0.730 (0.769)	Data 0.001 (0.002)	Loss 2.3052 (2.1716)	Prec@1 40.625 (45.176)	Prec@5 72.656 (75.677)
Epoch: [51][5050/14090]	Time 0.735 (0.769)	Data 0.001 (0.002)	Loss 2.1007 (2.1715)	Prec@1 44.531 (45.175)	Prec@5 76.562 (75.678)
Epoch: [51][5060/14090]	Time 0.752 (0.769)	Data 0.001 (0.002)	Loss 2.1899 (2.1715)	Prec@1 41.406 (45.175)	Prec@5 80.469 (75.681)
Epoch: [51][5070/14090]	Time 0.776 (0.769)	Data 0.001 (0.002)	Loss 2.3382 (2.1715)	Prec@1 41.406 (45.178)	Prec@5 71.875 (75.680)
Epoch: [51][5080/14090]	Time 0.911 (0.769)	Data 0.002 (0.002)	Loss 2.0312 (2.1715)	Prec@1 49.219 (45.178)	Prec@5 80.469 (75.679)
Epoch: [51][5090/14090]	Time 0.734 (0.769)	Data 0.001 (0.002)	Loss 2.3302 (2.1716)	Prec@1 42.188 (45.174)	Prec@5 71.094 (75.678)
Epoch: [51][5100/14090]	Time 0.736 (0.769)	Data 0.001 (0.002)	Loss 2.1171 (2.1714)	Prec@1 43.750 (45.176)	Prec@5 76.562 (75.681)
Epoch: [51][5110/14090]	Time 0.738 (0.769)	Data 0.001 (0.002)	Loss 2.3563 (2.1715)	Prec@1 42.969 (45.176)	Prec@5 72.656 (75.679)
Epoch: [51][5120/14090]	Time 0.720 (0.769)	Data 0.001 (0.002)	Loss 2.3207 (2.1718)	Prec@1 42.188 (45.172)	Prec@5 75.000 (75.675)
Epoch: [51][5130/14090]	Time 0.756 (0.769)	Data 0.001 (0.002)	Loss 2.0339 (2.1717)	Prec@1 45.312 (45.172)	Prec@5 76.562 (75.677)
Epoch: [51][5140/14090]	Time 0.723 (0.769)	Data 0.001 (0.002)	Loss 2.1275 (2.1717)	Prec@1 43.750 (45.173)	Prec@5 75.000 (75.676)
Epoch: [51][5150/14090]	Time 0.893 (0.769)	Data 0.001 (0.002)	Loss 2.1054 (2.1718)	Prec@1 46.094 (45.169)	Prec@5 78.125 (75.675)
Epoch: [51][5160/14090]	Time 0.736 (0.769)	Data 0.001 (0.002)	Loss 2.0938 (2.1719)	Prec@1 46.094 (45.169)	Prec@5 77.344 (75.675)
Epoch: [51][5170/14090]	Time 0.743 (0.769)	Data 0.001 (0.002)	Loss 2.1577 (2.1717)	Prec@1 43.750 (45.170)	Prec@5 75.000 (75.678)
Epoch: [51][5180/14090]	Time 0.777 (0.769)	Data 0.002 (0.002)	Loss 2.2674 (2.1717)	Prec@1 45.312 (45.169)	Prec@5 75.781 (75.679)
Epoch: [51][5190/14090]	Time 0.790 (0.769)	Data 0.001 (0.002)	Loss 2.1831 (2.1717)	Prec@1 42.969 (45.171)	Prec@5 72.656 (75.679)
Epoch: [51][5200/14090]	Time 0.733 (0.769)	Data 0.001 (0.002)	Loss 2.2677 (2.1718)	Prec@1 44.531 (45.170)	Prec@5 77.344 (75.678)
Epoch: [51][5210/14090]	Time 0.773 (0.769)	Data 0.001 (0.002)	Loss 2.3870 (2.1720)	Prec@1 38.281 (45.168)	Prec@5 71.094 (75.677)
Epoch: [51][5220/14090]	Time 0.868 (0.768)	Data 0.001 (0.002)	Loss 1.9735 (2.1719)	Prec@1 46.875 (45.169)	Prec@5 77.344 (75.677)
Epoch: [51][5230/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 2.4285 (2.1720)	Prec@1 38.281 (45.166)	Prec@5 71.875 (75.675)
Epoch: [51][5240/14090]	Time 0.743 (0.768)	Data 0.001 (0.002)	Loss 2.0006 (2.1720)	Prec@1 39.844 (45.167)	Prec@5 80.469 (75.677)
Epoch: [51][5250/14090]	Time 0.747 (0.768)	Data 0.001 (0.002)	Loss 1.7757 (2.1720)	Prec@1 54.688 (45.166)	Prec@5 80.469 (75.677)
Epoch: [51][5260/14090]	Time 0.734 (0.768)	Data 0.001 (0.002)	Loss 2.0250 (2.1720)	Prec@1 50.781 (45.165)	Prec@5 78.906 (75.679)
Epoch: [51][5270/14090]	Time 0.741 (0.768)	Data 0.001 (0.002)	Loss 2.3567 (2.1722)	Prec@1 42.188 (45.158)	Prec@5 74.219 (75.677)
Epoch: [51][5280/14090]	Time 0.724 (0.768)	Data 0.001 (0.002)	Loss 2.5058 (2.1723)	Prec@1 36.719 (45.154)	Prec@5 71.875 (75.676)
Epoch: [51][5290/14090]	Time 0.877 (0.768)	Data 0.001 (0.002)	Loss 2.4344 (2.1723)	Prec@1 40.625 (45.151)	Prec@5 73.438 (75.674)
Epoch: [51][5300/14090]	Time 0.768 (0.768)	Data 0.001 (0.002)	Loss 2.3241 (2.1724)	Prec@1 38.281 (45.149)	Prec@5 72.656 (75.673)
Epoch: [51][5310/14090]	Time 0.791 (0.768)	Data 0.001 (0.002)	Loss 2.1058 (2.1724)	Prec@1 44.531 (45.149)	Prec@5 77.344 (75.671)
Epoch: [51][5320/14090]	Time 0.730 (0.768)	Data 0.001 (0.002)	Loss 2.0160 (2.1722)	Prec@1 47.656 (45.156)	Prec@5 81.250 (75.677)
Epoch: [51][5330/14090]	Time 0.759 (0.768)	Data 0.001 (0.002)	Loss 2.0803 (2.1721)	Prec@1 48.438 (45.157)	Prec@5 77.344 (75.679)
Epoch: [51][5340/14090]	Time 0.739 (0.768)	Data 0.001 (0.002)	Loss 2.2461 (2.1720)	Prec@1 39.844 (45.154)	Prec@5 76.562 (75.682)
Epoch: [51][5350/14090]	Time 0.734 (0.768)	Data 0.001 (0.002)	Loss 2.0902 (2.1721)	Prec@1 50.000 (45.153)	Prec@5 76.562 (75.679)
Epoch: [51][5360/14090]	Time 0.882 (0.768)	Data 0.001 (0.002)	Loss 2.0279 (2.1721)	Prec@1 48.438 (45.155)	Prec@5 78.125 (75.677)
Epoch: [51][5370/14090]	Time 0.759 (0.768)	Data 0.001 (0.002)	Loss 2.1782 (2.1722)	Prec@1 43.750 (45.158)	Prec@5 77.344 (75.676)
Epoch: [51][5380/14090]	Time 0.724 (0.768)	Data 0.001 (0.002)	Loss 2.1232 (2.1723)	Prec@1 45.312 (45.158)	Prec@5 75.781 (75.673)
Epoch: [51][5390/14090]	Time 0.730 (0.768)	Data 0.001 (0.002)	Loss 2.1119 (2.1723)	Prec@1 46.875 (45.160)	Prec@5 74.219 (75.675)
Epoch: [51][5400/14090]	Time 0.737 (0.768)	Data 0.001 (0.002)	Loss 2.1713 (2.1722)	Prec@1 44.531 (45.159)	Prec@5 77.344 (75.675)
Epoch: [51][5410/14090]	Time 0.745 (0.768)	Data 0.001 (0.002)	Loss 2.2667 (2.1722)	Prec@1 47.656 (45.160)	Prec@5 75.000 (75.675)
Epoch: [51][5420/14090]	Time 0.730 (0.768)	Data 0.001 (0.002)	Loss 2.4289 (2.1721)	Prec@1 39.844 (45.164)	Prec@5 67.969 (75.675)
Epoch: [51][5430/14090]	Time 0.844 (0.768)	Data 0.001 (0.002)	Loss 2.3788 (2.1719)	Prec@1 41.406 (45.165)	Prec@5 74.219 (75.679)
Epoch: [51][5440/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 2.4547 (2.1719)	Prec@1 35.938 (45.164)	Prec@5 71.094 (75.680)
Epoch: [51][5450/14090]	Time 0.779 (0.768)	Data 0.001 (0.002)	Loss 2.1920 (2.1719)	Prec@1 43.750 (45.162)	Prec@5 77.344 (75.682)
Epoch: [51][5460/14090]	Time 0.725 (0.768)	Data 0.001 (0.002)	Loss 2.5969 (2.1721)	Prec@1 36.719 (45.158)	Prec@5 67.188 (75.678)
Epoch: [51][5470/14090]	Time 0.746 (0.768)	Data 0.001 (0.002)	Loss 2.0381 (2.1723)	Prec@1 47.656 (45.153)	Prec@5 79.688 (75.675)
Epoch: [51][5480/14090]	Time 0.739 (0.768)	Data 0.001 (0.002)	Loss 2.1825 (2.1722)	Prec@1 41.406 (45.156)	Prec@5 72.656 (75.675)
Epoch: [51][5490/14090]	Time 0.785 (0.768)	Data 0.001 (0.002)	Loss 2.0452 (2.1724)	Prec@1 50.000 (45.152)	Prec@5 76.562 (75.668)
Epoch: [51][5500/14090]	Time 0.915 (0.768)	Data 0.001 (0.002)	Loss 1.8585 (2.1723)	Prec@1 52.344 (45.154)	Prec@5 82.031 (75.669)
Epoch: [51][5510/14090]	Time 0.748 (0.768)	Data 0.001 (0.002)	Loss 2.2040 (2.1726)	Prec@1 42.188 (45.147)	Prec@5 73.438 (75.663)
Epoch: [51][5520/14090]	Time 0.759 (0.768)	Data 0.001 (0.002)	Loss 2.4308 (2.1727)	Prec@1 41.406 (45.144)	Prec@5 67.188 (75.659)
Epoch: [51][5530/14090]	Time 0.725 (0.768)	Data 0.001 (0.002)	Loss 2.0732 (2.1725)	Prec@1 51.562 (45.150)	Prec@5 76.562 (75.662)
Epoch: [51][5540/14090]	Time 0.737 (0.768)	Data 0.001 (0.002)	Loss 2.2274 (2.1725)	Prec@1 44.531 (45.148)	Prec@5 76.562 (75.664)
Epoch: [51][5550/14090]	Time 0.755 (0.768)	Data 0.001 (0.002)	Loss 2.2593 (2.1725)	Prec@1 42.188 (45.149)	Prec@5 75.000 (75.664)
Epoch: [51][5560/14090]	Time 0.741 (0.768)	Data 0.001 (0.002)	Loss 2.1215 (2.1725)	Prec@1 45.312 (45.148)	Prec@5 77.344 (75.664)
Epoch: [51][5570/14090]	Time 0.876 (0.768)	Data 0.001 (0.002)	Loss 2.2631 (2.1725)	Prec@1 40.625 (45.147)	Prec@5 75.000 (75.663)
Epoch: [51][5580/14090]	Time 0.753 (0.768)	Data 0.001 (0.002)	Loss 2.1478 (2.1724)	Prec@1 44.531 (45.150)	Prec@5 78.906 (75.666)
Epoch: [51][5590/14090]	Time 0.739 (0.768)	Data 0.001 (0.002)	Loss 2.3643 (2.1726)	Prec@1 40.625 (45.142)	Prec@5 71.094 (75.665)
Epoch: [51][5600/14090]	Time 0.774 (0.768)	Data 0.001 (0.002)	Loss 2.2906 (2.1727)	Prec@1 39.844 (45.142)	Prec@5 75.000 (75.662)
Epoch: [51][5610/14090]	Time 0.780 (0.768)	Data 0.001 (0.002)	Loss 2.1388 (2.1727)	Prec@1 46.094 (45.142)	Prec@5 78.125 (75.664)
Epoch: [51][5620/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 2.2226 (2.1727)	Prec@1 43.750 (45.141)	Prec@5 74.219 (75.664)
Epoch: [51][5630/14090]	Time 0.781 (0.768)	Data 0.001 (0.002)	Loss 2.1138 (2.1729)	Prec@1 47.656 (45.137)	Prec@5 75.000 (75.662)
Epoch: [51][5640/14090]	Time 0.897 (0.768)	Data 0.001 (0.002)	Loss 2.1686 (2.1729)	Prec@1 46.875 (45.137)	Prec@5 78.906 (75.662)
Epoch: [51][5650/14090]	Time 0.779 (0.768)	Data 0.001 (0.002)	Loss 2.1176 (2.1728)	Prec@1 46.875 (45.139)	Prec@5 78.125 (75.665)
Epoch: [51][5660/14090]	Time 0.773 (0.768)	Data 0.001 (0.002)	Loss 2.1033 (2.1727)	Prec@1 47.656 (45.141)	Prec@5 78.125 (75.667)
Epoch: [51][5670/14090]	Time 0.748 (0.768)	Data 0.001 (0.002)	Loss 1.8096 (2.1726)	Prec@1 51.562 (45.143)	Prec@5 82.812 (75.668)
Epoch: [51][5680/14090]	Time 0.752 (0.768)	Data 0.001 (0.002)	Loss 2.1191 (2.1726)	Prec@1 50.000 (45.146)	Prec@5 76.562 (75.668)
Epoch: [51][5690/14090]	Time 0.745 (0.768)	Data 0.002 (0.002)	Loss 2.3344 (2.1725)	Prec@1 35.938 (45.146)	Prec@5 75.000 (75.668)
Epoch: [51][5700/14090]	Time 0.785 (0.768)	Data 0.002 (0.002)	Loss 2.2154 (2.1726)	Prec@1 44.531 (45.144)	Prec@5 73.438 (75.667)
Epoch: [51][5710/14090]	Time 0.866 (0.768)	Data 0.001 (0.002)	Loss 2.4713 (2.1727)	Prec@1 43.750 (45.145)	Prec@5 69.531 (75.664)
Epoch: [51][5720/14090]	Time 0.730 (0.768)	Data 0.001 (0.002)	Loss 2.3705 (2.1728)	Prec@1 46.875 (45.148)	Prec@5 71.094 (75.661)
Epoch: [51][5730/14090]	Time 0.745 (0.768)	Data 0.001 (0.002)	Loss 2.2675 (2.1728)	Prec@1 39.844 (45.149)	Prec@5 73.438 (75.660)
Epoch: [51][5740/14090]	Time 0.778 (0.768)	Data 0.001 (0.002)	Loss 2.0242 (2.1727)	Prec@1 50.000 (45.151)	Prec@5 77.344 (75.660)
Epoch: [51][5750/14090]	Time 0.745 (0.768)	Data 0.001 (0.002)	Loss 2.4823 (2.1728)	Prec@1 39.062 (45.151)	Prec@5 67.969 (75.659)
Epoch: [51][5760/14090]	Time 0.752 (0.768)	Data 0.001 (0.002)	Loss 2.1484 (2.1727)	Prec@1 46.875 (45.152)	Prec@5 78.125 (75.662)
Epoch: [51][5770/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 2.2863 (2.1728)	Prec@1 43.750 (45.153)	Prec@5 75.781 (75.659)
Epoch: [51][5780/14090]	Time 0.851 (0.768)	Data 0.001 (0.002)	Loss 1.8408 (2.1725)	Prec@1 50.781 (45.159)	Prec@5 82.031 (75.663)
Epoch: [51][5790/14090]	Time 0.739 (0.768)	Data 0.001 (0.002)	Loss 2.0782 (2.1726)	Prec@1 46.875 (45.157)	Prec@5 77.344 (75.664)
Epoch: [51][5800/14090]	Time 0.737 (0.768)	Data 0.001 (0.002)	Loss 2.6204 (2.1726)	Prec@1 35.156 (45.156)	Prec@5 70.312 (75.664)
Epoch: [51][5810/14090]	Time 0.734 (0.768)	Data 0.001 (0.002)	Loss 2.2182 (2.1725)	Prec@1 45.312 (45.158)	Prec@5 74.219 (75.666)
Epoch: [51][5820/14090]	Time 0.744 (0.768)	Data 0.001 (0.002)	Loss 2.0812 (2.1724)	Prec@1 49.219 (45.162)	Prec@5 80.469 (75.668)
Epoch: [51][5830/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 2.3103 (2.1724)	Prec@1 42.188 (45.162)	Prec@5 77.344 (75.667)
Epoch: [51][5840/14090]	Time 0.759 (0.768)	Data 0.001 (0.002)	Loss 2.1236 (2.1725)	Prec@1 51.562 (45.164)	Prec@5 76.562 (75.665)
Epoch: [51][5850/14090]	Time 0.836 (0.768)	Data 0.001 (0.002)	Loss 2.0703 (2.1724)	Prec@1 46.875 (45.166)	Prec@5 79.688 (75.669)
Epoch: [51][5860/14090]	Time 0.731 (0.768)	Data 0.001 (0.002)	Loss 2.6112 (2.1726)	Prec@1 37.500 (45.161)	Prec@5 64.844 (75.663)
Epoch: [51][5870/14090]	Time 0.734 (0.768)	Data 0.001 (0.002)	Loss 1.9806 (2.1726)	Prec@1 51.562 (45.161)	Prec@5 78.906 (75.664)
Epoch: [51][5880/14090]	Time 0.726 (0.768)	Data 0.001 (0.002)	Loss 2.3292 (2.1725)	Prec@1 41.406 (45.162)	Prec@5 71.875 (75.667)
Epoch: [51][5890/14090]	Time 0.748 (0.768)	Data 0.001 (0.002)	Loss 2.0364 (2.1726)	Prec@1 48.438 (45.159)	Prec@5 78.906 (75.665)
Epoch: [51][5900/14090]	Time 0.727 (0.768)	Data 0.001 (0.002)	Loss 2.3000 (2.1727)	Prec@1 43.750 (45.157)	Prec@5 75.000 (75.664)
Epoch: [51][5910/14090]	Time 0.772 (0.768)	Data 0.001 (0.002)	Loss 2.0200 (2.1726)	Prec@1 46.875 (45.159)	Prec@5 78.125 (75.665)
Epoch: [51][5920/14090]	Time 0.918 (0.768)	Data 0.001 (0.002)	Loss 2.0304 (2.1727)	Prec@1 48.438 (45.160)	Prec@5 73.438 (75.663)
Epoch: [51][5930/14090]	Time 0.744 (0.768)	Data 0.001 (0.002)	Loss 2.0286 (2.1726)	Prec@1 42.188 (45.163)	Prec@5 80.469 (75.662)
Epoch: [51][5940/14090]	Time 0.732 (0.768)	Data 0.001 (0.002)	Loss 2.4006 (2.1727)	Prec@1 38.281 (45.162)	Prec@5 71.094 (75.662)
Epoch: [51][5950/14090]	Time 0.774 (0.768)	Data 0.001 (0.002)	Loss 2.1397 (2.1728)	Prec@1 42.969 (45.158)	Prec@5 75.781 (75.659)
Epoch: [51][5960/14090]	Time 0.745 (0.768)	Data 0.001 (0.002)	Loss 2.0987 (2.1728)	Prec@1 47.656 (45.160)	Prec@5 76.562 (75.660)
Epoch: [51][5970/14090]	Time 0.757 (0.768)	Data 0.001 (0.002)	Loss 2.1911 (2.1728)	Prec@1 40.625 (45.162)	Prec@5 78.906 (75.661)
Epoch: [51][5980/14090]	Time 0.752 (0.768)	Data 0.001 (0.002)	Loss 2.1071 (2.1729)	Prec@1 45.312 (45.159)	Prec@5 78.125 (75.660)
Epoch: [51][5990/14090]	Time 0.850 (0.768)	Data 0.001 (0.002)	Loss 1.9708 (2.1728)	Prec@1 46.875 (45.159)	Prec@5 79.688 (75.660)
Epoch: [51][6000/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 2.1474 (2.1727)	Prec@1 43.750 (45.160)	Prec@5 75.000 (75.663)
Epoch: [51][6010/14090]	Time 0.735 (0.768)	Data 0.002 (0.002)	Loss 2.4096 (2.1727)	Prec@1 45.312 (45.159)	Prec@5 75.000 (75.663)
Epoch: [51][6020/14090]	Time 0.750 (0.768)	Data 0.001 (0.002)	Loss 2.1303 (2.1727)	Prec@1 44.531 (45.159)	Prec@5 76.562 (75.663)
Epoch: [51][6030/14090]	Time 0.728 (0.768)	Data 0.001 (0.002)	Loss 2.0350 (2.1726)	Prec@1 53.125 (45.162)	Prec@5 79.688 (75.666)
Epoch: [51][6040/14090]	Time 0.739 (0.768)	Data 0.001 (0.002)	Loss 2.1698 (2.1726)	Prec@1 42.969 (45.162)	Prec@5 77.344 (75.665)
Epoch: [51][6050/14090]	Time 0.735 (0.768)	Data 0.001 (0.002)	Loss 2.0836 (2.1726)	Prec@1 44.531 (45.163)	Prec@5 77.344 (75.667)
Epoch: [51][6060/14090]	Time 0.872 (0.768)	Data 0.001 (0.002)	Loss 2.1076 (2.1726)	Prec@1 41.406 (45.161)	Prec@5 74.219 (75.669)
Epoch: [51][6070/14090]	Time 0.746 (0.768)	Data 0.001 (0.002)	Loss 2.0617 (2.1726)	Prec@1 46.094 (45.161)	Prec@5 78.906 (75.667)
Epoch: [51][6080/14090]	Time 0.777 (0.768)	Data 0.001 (0.002)	Loss 2.3293 (2.1725)	Prec@1 36.719 (45.161)	Prec@5 75.781 (75.669)
Epoch: [51][6090/14090]	Time 0.785 (0.768)	Data 0.001 (0.002)	Loss 2.0857 (2.1725)	Prec@1 47.656 (45.159)	Prec@5 77.344 (75.671)
Epoch: [51][6100/14090]	Time 0.756 (0.768)	Data 0.001 (0.002)	Loss 2.1314 (2.1726)	Prec@1 46.094 (45.156)	Prec@5 75.000 (75.667)
Epoch: [51][6110/14090]	Time 0.761 (0.768)	Data 0.001 (0.002)	Loss 2.2223 (2.1726)	Prec@1 42.188 (45.158)	Prec@5 78.125 (75.665)
Epoch: [51][6120/14090]	Time 0.777 (0.768)	Data 0.001 (0.002)	Loss 2.3711 (2.1727)	Prec@1 45.312 (45.158)	Prec@5 75.781 (75.665)
Epoch: [51][6130/14090]	Time 0.868 (0.768)	Data 0.001 (0.002)	Loss 2.4071 (2.1726)	Prec@1 42.188 (45.161)	Prec@5 70.312 (75.669)
Epoch: [51][6140/14090]	Time 0.783 (0.768)	Data 0.001 (0.002)	Loss 2.3072 (2.1727)	Prec@1 35.156 (45.157)	Prec@5 74.219 (75.668)
Epoch: [51][6150/14090]	Time 0.786 (0.768)	Data 0.001 (0.002)	Loss 2.3760 (2.1726)	Prec@1 40.625 (45.159)	Prec@5 68.750 (75.667)
Epoch: [51][6160/14090]	Time 0.721 (0.768)	Data 0.001 (0.002)	Loss 2.1178 (2.1726)	Prec@1 47.656 (45.160)	Prec@5 80.469 (75.668)
Epoch: [51][6170/14090]	Time 0.768 (0.768)	Data 0.001 (0.002)	Loss 1.9587 (2.1725)	Prec@1 47.656 (45.162)	Prec@5 78.125 (75.668)
Epoch: [51][6180/14090]	Time 0.753 (0.768)	Data 0.001 (0.002)	Loss 2.3175 (2.1725)	Prec@1 46.094 (45.163)	Prec@5 71.094 (75.668)
Epoch: [51][6190/14090]	Time 0.737 (0.768)	Data 0.001 (0.002)	Loss 2.2602 (2.1724)	Prec@1 43.750 (45.166)	Prec@5 76.562 (75.669)
Epoch: [51][6200/14090]	Time 1.027 (0.768)	Data 0.001 (0.002)	Loss 1.9635 (2.1725)	Prec@1 51.562 (45.167)	Prec@5 75.781 (75.667)
Epoch: [51][6210/14090]	Time 0.736 (0.768)	Data 0.002 (0.002)	Loss 2.0249 (2.1723)	Prec@1 44.531 (45.168)	Prec@5 78.125 (75.670)
Epoch: [51][6220/14090]	Time 0.741 (0.768)	Data 0.001 (0.002)	Loss 2.2679 (2.1724)	Prec@1 40.625 (45.167)	Prec@5 71.094 (75.668)
Epoch: [51][6230/14090]	Time 0.773 (0.768)	Data 0.001 (0.002)	Loss 2.1424 (2.1724)	Prec@1 46.094 (45.168)	Prec@5 76.562 (75.670)
Epoch: [51][6240/14090]	Time 0.795 (0.768)	Data 0.001 (0.002)	Loss 2.0942 (2.1724)	Prec@1 48.438 (45.166)	Prec@5 77.344 (75.671)
Epoch: [51][6250/14090]	Time 0.772 (0.768)	Data 0.001 (0.002)	Loss 2.1797 (2.1725)	Prec@1 42.969 (45.165)	Prec@5 75.000 (75.669)
Epoch: [51][6260/14090]	Time 0.756 (0.768)	Data 0.001 (0.002)	Loss 2.1364 (2.1726)	Prec@1 47.656 (45.161)	Prec@5 78.906 (75.668)
Epoch: [51][6270/14090]	Time 0.863 (0.768)	Data 0.001 (0.002)	Loss 1.9970 (2.1725)	Prec@1 47.656 (45.162)	Prec@5 77.344 (75.671)
Epoch: [51][6280/14090]	Time 0.727 (0.768)	Data 0.001 (0.002)	Loss 2.0618 (2.1725)	Prec@1 47.656 (45.161)	Prec@5 75.781 (75.673)
Epoch: [51][6290/14090]	Time 0.741 (0.768)	Data 0.001 (0.002)	Loss 2.1687 (2.1725)	Prec@1 45.312 (45.159)	Prec@5 78.906 (75.675)
Epoch: [51][6300/14090]	Time 0.727 (0.768)	Data 0.001 (0.002)	Loss 2.2424 (2.1725)	Prec@1 46.875 (45.157)	Prec@5 74.219 (75.674)
Epoch: [51][6310/14090]	Time 0.732 (0.768)	Data 0.001 (0.002)	Loss 2.1344 (2.1726)	Prec@1 51.562 (45.156)	Prec@5 78.906 (75.672)
Epoch: [51][6320/14090]	Time 0.747 (0.768)	Data 0.001 (0.002)	Loss 2.0864 (2.1727)	Prec@1 49.219 (45.156)	Prec@5 78.125 (75.669)
Epoch: [51][6330/14090]	Time 0.728 (0.768)	Data 0.001 (0.002)	Loss 1.9499 (2.1728)	Prec@1 48.438 (45.152)	Prec@5 81.250 (75.669)
Epoch: [51][6340/14090]	Time 0.899 (0.768)	Data 0.001 (0.002)	Loss 2.3171 (2.1727)	Prec@1 48.438 (45.157)	Prec@5 73.438 (75.673)
Epoch: [51][6350/14090]	Time 0.734 (0.768)	Data 0.001 (0.002)	Loss 2.0559 (2.1727)	Prec@1 41.406 (45.155)	Prec@5 80.469 (75.672)
Epoch: [51][6360/14090]	Time 0.736 (0.768)	Data 0.001 (0.002)	Loss 1.9615 (2.1726)	Prec@1 53.906 (45.155)	Prec@5 79.688 (75.675)
Epoch: [51][6370/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 2.1295 (2.1726)	Prec@1 47.656 (45.157)	Prec@5 78.906 (75.675)
Epoch: [51][6380/14090]	Time 0.743 (0.768)	Data 0.001 (0.002)	Loss 2.0712 (2.1727)	Prec@1 46.875 (45.154)	Prec@5 81.250 (75.674)
Epoch: [51][6390/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 2.0418 (2.1727)	Prec@1 42.969 (45.153)	Prec@5 80.469 (75.674)
Epoch: [51][6400/14090]	Time 0.733 (0.768)	Data 0.001 (0.002)	Loss 2.4423 (2.1728)	Prec@1 39.844 (45.153)	Prec@5 71.875 (75.672)
Epoch: [51][6410/14090]	Time 0.863 (0.768)	Data 0.001 (0.002)	Loss 2.0282 (2.1728)	Prec@1 50.781 (45.152)	Prec@5 78.125 (75.668)
Epoch: [51][6420/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 2.0055 (2.1727)	Prec@1 53.906 (45.155)	Prec@5 76.562 (75.672)
Epoch: [51][6430/14090]	Time 0.759 (0.768)	Data 0.001 (0.002)	Loss 2.0103 (2.1727)	Prec@1 53.125 (45.157)	Prec@5 78.906 (75.672)
Epoch: [51][6440/14090]	Time 0.749 (0.768)	Data 0.001 (0.002)	Loss 2.0214 (2.1727)	Prec@1 47.656 (45.155)	Prec@5 78.906 (75.671)
Epoch: [51][6450/14090]	Time 0.729 (0.768)	Data 0.001 (0.002)	Loss 2.1313 (2.1727)	Prec@1 49.219 (45.155)	Prec@5 75.000 (75.673)
Epoch: [51][6460/14090]	Time 0.762 (0.768)	Data 0.001 (0.002)	Loss 2.1263 (2.1728)	Prec@1 47.656 (45.153)	Prec@5 75.000 (75.670)
Epoch: [51][6470/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 1.8617 (2.1728)	Prec@1 49.219 (45.151)	Prec@5 83.594 (75.669)
Epoch: [51][6480/14090]	Time 0.884 (0.768)	Data 0.001 (0.002)	Loss 1.8813 (2.1728)	Prec@1 56.250 (45.157)	Prec@5 79.688 (75.670)
Epoch: [51][6490/14090]	Time 0.741 (0.768)	Data 0.001 (0.002)	Loss 2.2032 (2.1728)	Prec@1 44.531 (45.158)	Prec@5 76.562 (75.670)
Epoch: [51][6500/14090]	Time 0.765 (0.768)	Data 0.001 (0.002)	Loss 2.0576 (2.1728)	Prec@1 47.656 (45.156)	Prec@5 77.344 (75.668)
Epoch: [51][6510/14090]	Time 0.748 (0.768)	Data 0.001 (0.002)	Loss 2.4498 (2.1730)	Prec@1 39.062 (45.156)	Prec@5 76.562 (75.663)
Epoch: [51][6520/14090]	Time 0.758 (0.768)	Data 0.001 (0.002)	Loss 2.0274 (2.1729)	Prec@1 50.781 (45.157)	Prec@5 80.469 (75.666)
Epoch: [51][6530/14090]	Time 0.726 (0.768)	Data 0.001 (0.002)	Loss 1.8299 (2.1729)	Prec@1 51.562 (45.155)	Prec@5 79.688 (75.668)
Epoch: [51][6540/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 2.2146 (2.1729)	Prec@1 46.094 (45.155)	Prec@5 80.469 (75.670)
Epoch: [51][6550/14090]	Time 0.878 (0.768)	Data 0.001 (0.002)	Loss 2.5938 (2.1730)	Prec@1 38.281 (45.156)	Prec@5 67.969 (75.666)
Epoch: [51][6560/14090]	Time 0.789 (0.768)	Data 0.001 (0.002)	Loss 2.3755 (2.1732)	Prec@1 41.406 (45.155)	Prec@5 68.750 (75.664)
Epoch: [51][6570/14090]	Time 0.803 (0.768)	Data 0.001 (0.002)	Loss 2.0666 (2.1732)	Prec@1 40.625 (45.155)	Prec@5 79.688 (75.663)
Epoch: [51][6580/14090]	Time 0.734 (0.768)	Data 0.001 (0.002)	Loss 2.2569 (2.1731)	Prec@1 46.094 (45.157)	Prec@5 72.656 (75.663)
Epoch: [51][6590/14090]	Time 0.741 (0.768)	Data 0.001 (0.002)	Loss 2.3416 (2.1732)	Prec@1 43.750 (45.156)	Prec@5 74.219 (75.661)
Epoch: [51][6600/14090]	Time 0.771 (0.768)	Data 0.001 (0.002)	Loss 2.0577 (2.1732)	Prec@1 50.000 (45.157)	Prec@5 75.781 (75.662)
Epoch: [51][6610/14090]	Time 0.789 (0.768)	Data 0.003 (0.002)	Loss 2.1482 (2.1731)	Prec@1 40.625 (45.157)	Prec@5 77.344 (75.664)
Epoch: [51][6620/14090]	Time 0.874 (0.768)	Data 0.001 (0.002)	Loss 2.0164 (2.1731)	Prec@1 46.875 (45.157)	Prec@5 78.125 (75.663)
Epoch: [51][6630/14090]	Time 0.755 (0.768)	Data 0.001 (0.002)	Loss 2.1382 (2.1730)	Prec@1 45.312 (45.159)	Prec@5 75.000 (75.666)
Epoch: [51][6640/14090]	Time 0.730 (0.768)	Data 0.001 (0.002)	Loss 2.2018 (2.1730)	Prec@1 50.000 (45.163)	Prec@5 73.438 (75.666)
Epoch: [51][6650/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 2.1910 (2.1729)	Prec@1 51.562 (45.165)	Prec@5 76.562 (75.668)
Epoch: [51][6660/14090]	Time 0.773 (0.768)	Data 0.001 (0.002)	Loss 1.9945 (2.1727)	Prec@1 49.219 (45.168)	Prec@5 77.344 (75.672)
Epoch: [51][6670/14090]	Time 0.730 (0.768)	Data 0.001 (0.002)	Loss 2.1027 (2.1725)	Prec@1 51.562 (45.172)	Prec@5 77.344 (75.675)
Epoch: [51][6680/14090]	Time 0.775 (0.768)	Data 0.001 (0.002)	Loss 1.9873 (2.1724)	Prec@1 46.094 (45.173)	Prec@5 78.906 (75.676)
Epoch: [51][6690/14090]	Time 0.859 (0.768)	Data 0.001 (0.002)	Loss 2.1719 (2.1724)	Prec@1 43.750 (45.172)	Prec@5 76.562 (75.676)
Epoch: [51][6700/14090]	Time 0.779 (0.768)	Data 0.001 (0.002)	Loss 2.3470 (2.1724)	Prec@1 44.531 (45.173)	Prec@5 74.219 (75.679)
Epoch: [51][6710/14090]	Time 0.743 (0.768)	Data 0.001 (0.002)	Loss 1.9513 (2.1724)	Prec@1 53.125 (45.174)	Prec@5 80.469 (75.679)
Epoch: [51][6720/14090]	Time 0.779 (0.768)	Data 0.002 (0.002)	Loss 2.1109 (2.1724)	Prec@1 43.750 (45.175)	Prec@5 79.688 (75.679)
Epoch: [51][6730/14090]	Time 0.746 (0.768)	Data 0.001 (0.002)	Loss 2.3978 (2.1725)	Prec@1 42.188 (45.171)	Prec@5 75.000 (75.679)
Epoch: [51][6740/14090]	Time 0.755 (0.768)	Data 0.001 (0.002)	Loss 2.1218 (2.1727)	Prec@1 46.094 (45.167)	Prec@5 70.312 (75.673)
Epoch: [51][6750/14090]	Time 0.760 (0.768)	Data 0.001 (0.002)	Loss 1.9980 (2.1726)	Prec@1 52.344 (45.168)	Prec@5 77.344 (75.674)
Epoch: [51][6760/14090]	Time 0.880 (0.768)	Data 0.001 (0.002)	Loss 2.1496 (2.1726)	Prec@1 50.781 (45.166)	Prec@5 76.562 (75.676)
Epoch: [51][6770/14090]	Time 0.734 (0.768)	Data 0.001 (0.002)	Loss 2.1125 (2.1727)	Prec@1 42.188 (45.164)	Prec@5 80.469 (75.675)
Epoch: [51][6780/14090]	Time 0.749 (0.768)	Data 0.001 (0.002)	Loss 1.9734 (2.1727)	Prec@1 44.531 (45.165)	Prec@5 76.562 (75.676)
Epoch: [51][6790/14090]	Time 0.731 (0.768)	Data 0.001 (0.002)	Loss 2.0189 (2.1729)	Prec@1 50.000 (45.162)	Prec@5 78.125 (75.672)
Epoch: [51][6800/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 2.0712 (2.1729)	Prec@1 46.094 (45.159)	Prec@5 78.906 (75.671)
Epoch: [51][6810/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 2.1094 (2.1729)	Prec@1 49.219 (45.161)	Prec@5 78.906 (75.671)
Epoch: [51][6820/14090]	Time 0.719 (0.768)	Data 0.002 (0.002)	Loss 2.0291 (2.1728)	Prec@1 44.531 (45.163)	Prec@5 77.344 (75.672)
Epoch: [51][6830/14090]	Time 0.858 (0.768)	Data 0.001 (0.002)	Loss 2.0125 (2.1728)	Prec@1 53.125 (45.166)	Prec@5 77.344 (75.673)
Epoch: [51][6840/14090]	Time 0.729 (0.768)	Data 0.001 (0.002)	Loss 2.2047 (2.1729)	Prec@1 46.875 (45.162)	Prec@5 75.781 (75.671)
Epoch: [51][6850/14090]	Time 0.781 (0.768)	Data 0.001 (0.002)	Loss 2.3676 (2.1729)	Prec@1 39.844 (45.162)	Prec@5 69.531 (75.670)
Epoch: [51][6860/14090]	Time 0.723 (0.768)	Data 0.001 (0.002)	Loss 2.1782 (2.1729)	Prec@1 50.000 (45.162)	Prec@5 76.562 (75.670)
Epoch: [51][6870/14090]	Time 0.726 (0.768)	Data 0.001 (0.002)	Loss 2.1625 (2.1729)	Prec@1 48.438 (45.162)	Prec@5 71.094 (75.667)
Epoch: [51][6880/14090]	Time 0.744 (0.768)	Data 0.001 (0.002)	Loss 2.1871 (2.1729)	Prec@1 47.656 (45.163)	Prec@5 77.344 (75.668)
Epoch: [51][6890/14090]	Time 0.724 (0.768)	Data 0.001 (0.002)	Loss 2.0656 (2.1730)	Prec@1 46.875 (45.160)	Prec@5 74.219 (75.666)
Epoch: [51][6900/14090]	Time 0.874 (0.768)	Data 0.001 (0.002)	Loss 1.9668 (2.1730)	Prec@1 45.312 (45.158)	Prec@5 81.250 (75.666)
Epoch: [51][6910/14090]	Time 0.783 (0.768)	Data 0.001 (0.002)	Loss 1.9710 (2.1730)	Prec@1 50.000 (45.158)	Prec@5 77.344 (75.667)
Epoch: [51][6920/14090]	Time 0.727 (0.768)	Data 0.001 (0.002)	Loss 2.1155 (2.1730)	Prec@1 39.844 (45.155)	Prec@5 81.250 (75.668)
Epoch: [51][6930/14090]	Time 0.767 (0.768)	Data 0.001 (0.002)	Loss 2.0089 (2.1728)	Prec@1 50.781 (45.160)	Prec@5 75.000 (75.672)
Epoch: [51][6940/14090]	Time 0.729 (0.768)	Data 0.001 (0.002)	Loss 1.9711 (2.1729)	Prec@1 47.656 (45.159)	Prec@5 83.594 (75.670)
Epoch: [51][6950/14090]	Time 0.721 (0.768)	Data 0.001 (0.002)	Loss 2.0949 (2.1728)	Prec@1 52.344 (45.160)	Prec@5 76.562 (75.673)
Epoch: [51][6960/14090]	Time 0.750 (0.768)	Data 0.001 (0.002)	Loss 2.0839 (2.1728)	Prec@1 46.875 (45.158)	Prec@5 76.562 (75.672)
Epoch: [51][6970/14090]	Time 0.921 (0.768)	Data 0.001 (0.002)	Loss 2.2709 (2.1727)	Prec@1 48.438 (45.160)	Prec@5 73.438 (75.672)
Epoch: [51][6980/14090]	Time 0.741 (0.768)	Data 0.001 (0.002)	Loss 2.3224 (2.1727)	Prec@1 41.406 (45.162)	Prec@5 69.531 (75.673)
Epoch: [51][6990/14090]	Time 0.727 (0.768)	Data 0.001 (0.002)	Loss 2.2795 (2.1727)	Prec@1 48.438 (45.163)	Prec@5 74.219 (75.674)
Epoch: [51][7000/14090]	Time 0.784 (0.768)	Data 0.001 (0.002)	Loss 2.3240 (2.1727)	Prec@1 44.531 (45.163)	Prec@5 71.875 (75.673)
Epoch: [51][7010/14090]	Time 0.779 (0.768)	Data 0.001 (0.002)	Loss 1.8685 (2.1727)	Prec@1 55.469 (45.162)	Prec@5 79.688 (75.674)
Epoch: [51][7020/14090]	Time 0.732 (0.768)	Data 0.001 (0.002)	Loss 2.4310 (2.1727)	Prec@1 46.875 (45.164)	Prec@5 71.094 (75.674)
Epoch: [51][7030/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 2.1801 (2.1727)	Prec@1 46.094 (45.163)	Prec@5 68.750 (75.673)
Epoch: [51][7040/14090]	Time 0.903 (0.768)	Data 0.001 (0.002)	Loss 2.2037 (2.1726)	Prec@1 45.312 (45.165)	Prec@5 71.094 (75.672)
Epoch: [51][7050/14090]	Time 0.726 (0.768)	Data 0.001 (0.002)	Loss 2.2852 (2.1726)	Prec@1 46.094 (45.166)	Prec@5 71.094 (75.672)
Epoch: [51][7060/14090]	Time 0.758 (0.768)	Data 0.001 (0.002)	Loss 2.1337 (2.1726)	Prec@1 44.531 (45.167)	Prec@5 75.000 (75.674)
Epoch: [51][7070/14090]	Time 0.731 (0.768)	Data 0.001 (0.002)	Loss 1.7864 (2.1725)	Prec@1 56.250 (45.169)	Prec@5 82.812 (75.675)
Epoch: [51][7080/14090]	Time 0.728 (0.768)	Data 0.001 (0.002)	Loss 2.3188 (2.1724)	Prec@1 40.625 (45.172)	Prec@5 73.438 (75.677)
Epoch: [51][7090/14090]	Time 0.731 (0.768)	Data 0.001 (0.002)	Loss 2.0794 (2.1723)	Prec@1 42.188 (45.172)	Prec@5 77.344 (75.677)
Epoch: [51][7100/14090]	Time 0.738 (0.768)	Data 0.001 (0.002)	Loss 1.9207 (2.1723)	Prec@1 48.438 (45.174)	Prec@5 79.688 (75.679)
Epoch: [51][7110/14090]	Time 0.864 (0.768)	Data 0.001 (0.002)	Loss 2.4448 (2.1723)	Prec@1 39.844 (45.174)	Prec@5 71.094 (75.679)
Epoch: [51][7120/14090]	Time 0.746 (0.768)	Data 0.001 (0.002)	Loss 2.3637 (2.1722)	Prec@1 42.969 (45.175)	Prec@5 71.094 (75.682)
Epoch: [51][7130/14090]	Time 0.745 (0.768)	Data 0.001 (0.002)	Loss 2.1606 (2.1723)	Prec@1 39.062 (45.172)	Prec@5 73.438 (75.680)
Epoch: [51][7140/14090]	Time 0.753 (0.768)	Data 0.001 (0.002)	Loss 2.2025 (2.1723)	Prec@1 42.969 (45.172)	Prec@5 75.000 (75.679)
Epoch: [51][7150/14090]	Time 0.750 (0.768)	Data 0.001 (0.002)	Loss 2.3389 (2.1723)	Prec@1 41.406 (45.171)	Prec@5 74.219 (75.678)
Epoch: [51][7160/14090]	Time 0.734 (0.768)	Data 0.001 (0.002)	Loss 2.0350 (2.1722)	Prec@1 48.438 (45.175)	Prec@5 73.438 (75.679)
Epoch: [51][7170/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 2.0623 (2.1723)	Prec@1 44.531 (45.172)	Prec@5 78.125 (75.676)
Epoch: [51][7180/14090]	Time 0.881 (0.768)	Data 0.001 (0.002)	Loss 2.2987 (2.1724)	Prec@1 39.844 (45.169)	Prec@5 75.781 (75.674)
Epoch: [51][7190/14090]	Time 0.762 (0.768)	Data 0.003 (0.002)	Loss 2.3019 (2.1724)	Prec@1 39.844 (45.169)	Prec@5 74.219 (75.675)
Epoch: [51][7200/14090]	Time 0.749 (0.768)	Data 0.001 (0.002)	Loss 2.0868 (2.1724)	Prec@1 46.875 (45.170)	Prec@5 79.688 (75.675)
Epoch: [51][7210/14090]	Time 0.730 (0.768)	Data 0.001 (0.002)	Loss 2.3109 (2.1725)	Prec@1 39.062 (45.167)	Prec@5 71.094 (75.675)
Epoch: [51][7220/14090]	Time 0.737 (0.768)	Data 0.001 (0.002)	Loss 2.1801 (2.1726)	Prec@1 42.969 (45.165)	Prec@5 71.094 (75.672)
Epoch: [51][7230/14090]	Time 0.750 (0.768)	Data 0.001 (0.002)	Loss 2.3036 (2.1727)	Prec@1 39.062 (45.163)	Prec@5 74.219 (75.670)
Epoch: [51][7240/14090]	Time 0.762 (0.768)	Data 0.001 (0.002)	Loss 2.1566 (2.1727)	Prec@1 48.438 (45.161)	Prec@5 77.344 (75.670)
Epoch: [51][7250/14090]	Time 0.852 (0.768)	Data 0.001 (0.002)	Loss 2.1242 (2.1727)	Prec@1 50.781 (45.162)	Prec@5 75.781 (75.670)
Epoch: [51][7260/14090]	Time 0.775 (0.768)	Data 0.001 (0.002)	Loss 1.9923 (2.1728)	Prec@1 49.219 (45.161)	Prec@5 80.469 (75.669)
Epoch: [51][7270/14090]	Time 0.783 (0.768)	Data 0.001 (0.002)	Loss 2.2500 (2.1728)	Prec@1 42.188 (45.161)	Prec@5 76.562 (75.669)
Epoch: [51][7280/14090]	Time 0.780 (0.768)	Data 0.001 (0.002)	Loss 2.3246 (2.1729)	Prec@1 40.625 (45.158)	Prec@5 74.219 (75.666)
Epoch: [51][7290/14090]	Time 0.747 (0.768)	Data 0.001 (0.002)	Loss 2.1069 (2.1730)	Prec@1 50.781 (45.158)	Prec@5 80.469 (75.667)
Epoch: [51][7300/14090]	Time 0.750 (0.768)	Data 0.001 (0.002)	Loss 2.2921 (2.1730)	Prec@1 42.188 (45.159)	Prec@5 78.906 (75.667)
Epoch: [51][7310/14090]	Time 0.741 (0.768)	Data 0.001 (0.002)	Loss 2.0501 (2.1729)	Prec@1 48.438 (45.163)	Prec@5 82.812 (75.670)
Epoch: [51][7320/14090]	Time 0.879 (0.768)	Data 0.001 (0.002)	Loss 2.1513 (2.1729)	Prec@1 45.312 (45.163)	Prec@5 78.125 (75.669)
Epoch: [51][7330/14090]	Time 0.755 (0.768)	Data 0.001 (0.002)	Loss 2.0539 (2.1729)	Prec@1 45.312 (45.161)	Prec@5 80.469 (75.668)
Epoch: [51][7340/14090]	Time 0.733 (0.768)	Data 0.001 (0.002)	Loss 2.6375 (2.1730)	Prec@1 34.375 (45.160)	Prec@5 63.281 (75.666)
Epoch: [51][7350/14090]	Time 0.755 (0.768)	Data 0.001 (0.002)	Loss 2.2158 (2.1730)	Prec@1 46.875 (45.160)	Prec@5 71.875 (75.666)
Epoch: [51][7360/14090]	Time 0.727 (0.768)	Data 0.001 (0.002)	Loss 2.1518 (2.1729)	Prec@1 50.000 (45.161)	Prec@5 77.344 (75.667)
Epoch: [51][7370/14090]	Time 0.770 (0.768)	Data 0.001 (0.002)	Loss 2.1870 (2.1730)	Prec@1 45.312 (45.163)	Prec@5 77.344 (75.665)
Epoch: [51][7380/14090]	Time 0.721 (0.768)	Data 0.001 (0.002)	Loss 2.1959 (2.1730)	Prec@1 42.188 (45.161)	Prec@5 78.125 (75.665)
Epoch: [51][7390/14090]	Time 0.886 (0.768)	Data 0.001 (0.002)	Loss 2.0531 (2.1729)	Prec@1 47.656 (45.161)	Prec@5 76.562 (75.665)
Epoch: [51][7400/14090]	Time 0.756 (0.768)	Data 0.003 (0.002)	Loss 2.5081 (2.1729)	Prec@1 41.406 (45.159)	Prec@5 68.750 (75.665)
Epoch: [51][7410/14090]	Time 0.757 (0.768)	Data 0.001 (0.002)	Loss 2.2862 (2.1729)	Prec@1 42.969 (45.159)	Prec@5 75.000 (75.666)
Epoch: [51][7420/14090]	Time 0.728 (0.768)	Data 0.001 (0.002)	Loss 2.3315 (2.1729)	Prec@1 42.969 (45.160)	Prec@5 71.094 (75.665)
Epoch: [51][7430/14090]	Time 0.750 (0.768)	Data 0.001 (0.002)	Loss 2.1457 (2.1729)	Prec@1 43.750 (45.159)	Prec@5 81.250 (75.665)
Epoch: [51][7440/14090]	Time 0.755 (0.768)	Data 0.001 (0.002)	Loss 2.3166 (2.1730)	Prec@1 40.625 (45.158)	Prec@5 70.312 (75.662)
Epoch: [51][7450/14090]	Time 0.754 (0.768)	Data 0.001 (0.002)	Loss 2.3761 (2.1730)	Prec@1 42.188 (45.158)	Prec@5 71.094 (75.660)
Epoch: [51][7460/14090]	Time 0.857 (0.768)	Data 0.001 (0.002)	Loss 1.7879 (2.1730)	Prec@1 58.594 (45.157)	Prec@5 85.156 (75.660)
Epoch: [51][7470/14090]	Time 0.733 (0.768)	Data 0.001 (0.002)	Loss 2.0344 (2.1730)	Prec@1 48.438 (45.160)	Prec@5 78.906 (75.660)
Epoch: [51][7480/14090]	Time 0.769 (0.768)	Data 0.002 (0.002)	Loss 2.1031 (2.1731)	Prec@1 55.469 (45.158)	Prec@5 81.250 (75.658)
Epoch: [51][7490/14090]	Time 0.769 (0.768)	Data 0.001 (0.002)	Loss 2.0221 (2.1731)	Prec@1 49.219 (45.159)	Prec@5 76.562 (75.659)
Epoch: [51][7500/14090]	Time 0.727 (0.768)	Data 0.001 (0.002)	Loss 2.0551 (2.1731)	Prec@1 50.000 (45.158)	Prec@5 78.906 (75.660)
Epoch: [51][7510/14090]	Time 0.744 (0.768)	Data 0.001 (0.002)	Loss 2.1872 (2.1732)	Prec@1 47.656 (45.158)	Prec@5 76.562 (75.659)
Epoch: [51][7520/14090]	Time 0.777 (0.768)	Data 0.001 (0.002)	Loss 2.7543 (2.1733)	Prec@1 34.375 (45.155)	Prec@5 64.062 (75.656)
Epoch: [51][7530/14090]	Time 0.840 (0.768)	Data 0.001 (0.002)	Loss 2.0717 (2.1732)	Prec@1 53.125 (45.155)	Prec@5 75.000 (75.657)
Epoch: [51][7540/14090]	Time 0.775 (0.768)	Data 0.001 (0.002)	Loss 2.2150 (2.1732)	Prec@1 44.531 (45.157)	Prec@5 75.781 (75.656)
Epoch: [51][7550/14090]	Time 0.788 (0.768)	Data 0.001 (0.002)	Loss 2.1745 (2.1732)	Prec@1 47.656 (45.160)	Prec@5 74.219 (75.659)
Epoch: [51][7560/14090]	Time 0.744 (0.768)	Data 0.001 (0.002)	Loss 2.0584 (2.1733)	Prec@1 50.000 (45.158)	Prec@5 75.000 (75.657)
Epoch: [51][7570/14090]	Time 0.747 (0.768)	Data 0.001 (0.002)	Loss 1.8962 (2.1733)	Prec@1 52.344 (45.156)	Prec@5 82.812 (75.657)
Epoch: [51][7580/14090]	Time 0.735 (0.768)	Data 0.001 (0.002)	Loss 2.1224 (2.1732)	Prec@1 45.312 (45.158)	Prec@5 78.125 (75.656)
Epoch: [51][7590/14090]	Time 0.732 (0.768)	Data 0.001 (0.002)	Loss 2.2305 (2.1732)	Prec@1 47.656 (45.159)	Prec@5 75.781 (75.654)
Epoch: [51][7600/14090]	Time 0.870 (0.768)	Data 0.001 (0.002)	Loss 2.2348 (2.1732)	Prec@1 41.406 (45.159)	Prec@5 75.000 (75.654)
Epoch: [51][7610/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 2.2324 (2.1732)	Prec@1 42.188 (45.159)	Prec@5 76.562 (75.653)
Epoch: [51][7620/14090]	Time 0.774 (0.768)	Data 0.001 (0.002)	Loss 2.1548 (2.1733)	Prec@1 47.656 (45.156)	Prec@5 76.562 (75.651)
Epoch: [51][7630/14090]	Time 0.759 (0.768)	Data 0.001 (0.002)	Loss 2.0023 (2.1734)	Prec@1 48.438 (45.156)	Prec@5 78.125 (75.650)
Epoch: [51][7640/14090]	Time 0.731 (0.768)	Data 0.001 (0.002)	Loss 2.2449 (2.1734)	Prec@1 40.625 (45.155)	Prec@5 69.531 (75.650)
Epoch: [51][7650/14090]	Time 0.750 (0.768)	Data 0.001 (0.002)	Loss 2.1697 (2.1735)	Prec@1 44.531 (45.154)	Prec@5 71.875 (75.646)
Epoch: [51][7660/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 2.1814 (2.1736)	Prec@1 47.656 (45.151)	Prec@5 73.438 (75.643)
Epoch: [51][7670/14090]	Time 0.885 (0.768)	Data 0.001 (0.002)	Loss 2.1813 (2.1736)	Prec@1 48.438 (45.153)	Prec@5 78.125 (75.644)
Epoch: [51][7680/14090]	Time 0.738 (0.768)	Data 0.001 (0.002)	Loss 1.8581 (2.1735)	Prec@1 52.344 (45.156)	Prec@5 81.250 (75.646)
Epoch: [51][7690/14090]	Time 0.779 (0.768)	Data 0.001 (0.002)	Loss 2.1361 (2.1734)	Prec@1 45.312 (45.156)	Prec@5 75.000 (75.646)
Epoch: [51][7700/14090]	Time 0.737 (0.768)	Data 0.001 (0.002)	Loss 2.1254 (2.1734)	Prec@1 47.656 (45.155)	Prec@5 77.344 (75.649)
Epoch: [51][7710/14090]	Time 0.739 (0.768)	Data 0.001 (0.002)	Loss 2.0405 (2.1734)	Prec@1 44.531 (45.154)	Prec@5 79.688 (75.648)
Epoch: [51][7720/14090]	Time 0.752 (0.768)	Data 0.001 (0.002)	Loss 1.9307 (2.1734)	Prec@1 49.219 (45.154)	Prec@5 80.469 (75.649)
Epoch: [51][7730/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 2.1395 (2.1734)	Prec@1 48.438 (45.153)	Prec@5 73.438 (75.648)
Epoch: [51][7740/14090]	Time 0.864 (0.768)	Data 0.001 (0.002)	Loss 1.9038 (2.1735)	Prec@1 52.344 (45.153)	Prec@5 80.469 (75.648)
Epoch: [51][7750/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 2.2157 (2.1735)	Prec@1 44.531 (45.153)	Prec@5 73.438 (75.647)
Epoch: [51][7760/14090]	Time 0.734 (0.768)	Data 0.001 (0.002)	Loss 2.2089 (2.1735)	Prec@1 42.969 (45.149)	Prec@5 78.906 (75.647)
Epoch: [51][7770/14090]	Time 0.758 (0.768)	Data 0.001 (0.002)	Loss 2.1147 (2.1735)	Prec@1 42.188 (45.149)	Prec@5 78.906 (75.649)
Epoch: [51][7780/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 1.9754 (2.1735)	Prec@1 46.094 (45.153)	Prec@5 78.125 (75.648)
Epoch: [51][7790/14090]	Time 0.760 (0.768)	Data 0.001 (0.002)	Loss 2.3039 (2.1736)	Prec@1 42.969 (45.151)	Prec@5 77.344 (75.649)
Epoch: [51][7800/14090]	Time 0.774 (0.768)	Data 0.001 (0.002)	Loss 2.4183 (2.1736)	Prec@1 40.625 (45.151)	Prec@5 69.531 (75.647)
Epoch: [51][7810/14090]	Time 0.932 (0.768)	Data 0.003 (0.002)	Loss 2.7066 (2.1736)	Prec@1 35.156 (45.152)	Prec@5 67.969 (75.646)
Epoch: [51][7820/14090]	Time 0.736 (0.768)	Data 0.001 (0.002)	Loss 1.7667 (2.1735)	Prec@1 49.219 (45.153)	Prec@5 83.594 (75.650)
Epoch: [51][7830/14090]	Time 0.780 (0.768)	Data 0.002 (0.002)	Loss 2.2632 (2.1735)	Prec@1 43.750 (45.154)	Prec@5 71.094 (75.651)
Epoch: [51][7840/14090]	Time 0.762 (0.768)	Data 0.001 (0.002)	Loss 1.8914 (2.1734)	Prec@1 53.125 (45.158)	Prec@5 82.031 (75.652)
Epoch: [51][7850/14090]	Time 0.746 (0.768)	Data 0.001 (0.002)	Loss 1.8779 (2.1734)	Prec@1 49.219 (45.158)	Prec@5 82.031 (75.653)
Epoch: [51][7860/14090]	Time 0.724 (0.768)	Data 0.001 (0.002)	Loss 1.8031 (2.1734)	Prec@1 53.125 (45.159)	Prec@5 82.031 (75.653)
Epoch: [51][7870/14090]	Time 0.747 (0.768)	Data 0.001 (0.002)	Loss 2.0454 (2.1735)	Prec@1 50.000 (45.157)	Prec@5 79.688 (75.651)
Epoch: [51][7880/14090]	Time 0.932 (0.768)	Data 0.001 (0.002)	Loss 2.2373 (2.1735)	Prec@1 41.406 (45.157)	Prec@5 75.781 (75.650)
Epoch: [51][7890/14090]	Time 0.734 (0.768)	Data 0.001 (0.002)	Loss 2.2137 (2.1735)	Prec@1 43.750 (45.157)	Prec@5 74.219 (75.651)
Epoch: [51][7900/14090]	Time 0.736 (0.768)	Data 0.001 (0.002)	Loss 2.2553 (2.1736)	Prec@1 49.219 (45.159)	Prec@5 74.219 (75.650)
Epoch: [51][7910/14090]	Time 0.750 (0.768)	Data 0.001 (0.002)	Loss 2.3456 (2.1735)	Prec@1 46.875 (45.161)	Prec@5 72.656 (75.651)
Epoch: [51][7920/14090]	Time 0.732 (0.768)	Data 0.001 (0.002)	Loss 2.1804 (2.1734)	Prec@1 46.094 (45.162)	Prec@5 71.875 (75.651)
Epoch: [51][7930/14090]	Time 0.741 (0.768)	Data 0.001 (0.002)	Loss 2.1190 (2.1735)	Prec@1 53.906 (45.161)	Prec@5 74.219 (75.649)
Epoch: [51][7940/14090]	Time 0.730 (0.768)	Data 0.001 (0.002)	Loss 2.3880 (2.1736)	Prec@1 42.969 (45.159)	Prec@5 72.656 (75.646)
Epoch: [51][7950/14090]	Time 0.920 (0.768)	Data 0.001 (0.002)	Loss 2.2913 (2.1737)	Prec@1 41.406 (45.157)	Prec@5 75.000 (75.646)
Epoch: [51][7960/14090]	Time 0.738 (0.768)	Data 0.001 (0.002)	Loss 2.2262 (2.1737)	Prec@1 48.438 (45.157)	Prec@5 69.531 (75.644)
Epoch: [51][7970/14090]	Time 0.735 (0.768)	Data 0.001 (0.002)	Loss 2.3965 (2.1738)	Prec@1 36.719 (45.155)	Prec@5 76.562 (75.643)
Epoch: [51][7980/14090]	Time 0.770 (0.768)	Data 0.001 (0.002)	Loss 2.1032 (2.1738)	Prec@1 48.438 (45.157)	Prec@5 77.344 (75.643)
Epoch: [51][7990/14090]	Time 0.737 (0.768)	Data 0.001 (0.002)	Loss 2.3209 (2.1738)	Prec@1 45.312 (45.157)	Prec@5 75.781 (75.644)
Epoch: [51][8000/14090]	Time 0.757 (0.768)	Data 0.001 (0.002)	Loss 2.3932 (2.1739)	Prec@1 38.281 (45.153)	Prec@5 72.656 (75.643)
Epoch: [51][8010/14090]	Time 0.738 (0.768)	Data 0.001 (0.002)	Loss 2.2700 (2.1739)	Prec@1 43.750 (45.153)	Prec@5 68.750 (75.641)
Epoch: [51][8020/14090]	Time 0.863 (0.768)	Data 0.001 (0.002)	Loss 2.2631 (2.1739)	Prec@1 41.406 (45.154)	Prec@5 68.750 (75.642)
Epoch: [51][8030/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 2.2445 (2.1741)	Prec@1 42.188 (45.153)	Prec@5 77.344 (75.639)
Epoch: [51][8040/14090]	Time 0.737 (0.768)	Data 0.001 (0.002)	Loss 2.3345 (2.1741)	Prec@1 45.312 (45.153)	Prec@5 73.438 (75.639)
Epoch: [51][8050/14090]	Time 0.750 (0.768)	Data 0.001 (0.002)	Loss 2.0818 (2.1741)	Prec@1 47.656 (45.152)	Prec@5 76.562 (75.640)
Epoch: [51][8060/14090]	Time 0.748 (0.768)	Data 0.001 (0.002)	Loss 2.2521 (2.1740)	Prec@1 35.938 (45.152)	Prec@5 76.562 (75.640)
Epoch: [51][8070/14090]	Time 0.734 (0.768)	Data 0.001 (0.002)	Loss 2.1955 (2.1740)	Prec@1 40.625 (45.153)	Prec@5 75.000 (75.641)
Epoch: [51][8080/14090]	Time 0.750 (0.768)	Data 0.001 (0.002)	Loss 2.2016 (2.1740)	Prec@1 39.062 (45.151)	Prec@5 79.688 (75.641)
Epoch: [51][8090/14090]	Time 0.867 (0.768)	Data 0.001 (0.002)	Loss 2.1143 (2.1741)	Prec@1 44.531 (45.149)	Prec@5 76.562 (75.641)
Epoch: [51][8100/14090]	Time 0.725 (0.768)	Data 0.001 (0.002)	Loss 2.2287 (2.1741)	Prec@1 38.281 (45.147)	Prec@5 75.781 (75.642)
Epoch: [51][8110/14090]	Time 0.753 (0.768)	Data 0.001 (0.002)	Loss 2.2758 (2.1741)	Prec@1 42.969 (45.147)	Prec@5 74.219 (75.641)
Epoch: [51][8120/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 2.2676 (2.1740)	Prec@1 40.625 (45.148)	Prec@5 76.562 (75.641)
Epoch: [51][8130/14090]	Time 0.747 (0.768)	Data 0.001 (0.002)	Loss 2.0856 (2.1740)	Prec@1 42.188 (45.149)	Prec@5 76.562 (75.641)
Epoch: [51][8140/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 2.0101 (2.1740)	Prec@1 49.219 (45.149)	Prec@5 76.562 (75.640)
Epoch: [51][8150/14090]	Time 0.783 (0.768)	Data 0.001 (0.002)	Loss 2.2296 (2.1740)	Prec@1 45.312 (45.149)	Prec@5 70.312 (75.641)
Epoch: [51][8160/14090]	Time 0.885 (0.768)	Data 0.001 (0.002)	Loss 2.4583 (2.1740)	Prec@1 42.188 (45.150)	Prec@5 68.750 (75.641)
Epoch: [51][8170/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 2.0230 (2.1740)	Prec@1 49.219 (45.150)	Prec@5 80.469 (75.642)
Epoch: [51][8180/14090]	Time 0.752 (0.768)	Data 0.001 (0.002)	Loss 2.2247 (2.1740)	Prec@1 46.875 (45.149)	Prec@5 81.250 (75.642)
Epoch: [51][8190/14090]	Time 0.747 (0.768)	Data 0.001 (0.002)	Loss 2.6162 (2.1740)	Prec@1 35.938 (45.150)	Prec@5 66.406 (75.641)
Epoch: [51][8200/14090]	Time 0.776 (0.768)	Data 0.001 (0.002)	Loss 2.1880 (2.1740)	Prec@1 42.969 (45.149)	Prec@5 75.781 (75.641)
Epoch: [51][8210/14090]	Time 0.746 (0.768)	Data 0.001 (0.002)	Loss 2.1762 (2.1740)	Prec@1 42.188 (45.147)	Prec@5 75.781 (75.641)
Epoch: [51][8220/14090]	Time 0.730 (0.768)	Data 0.001 (0.002)	Loss 2.0980 (2.1741)	Prec@1 46.094 (45.147)	Prec@5 78.125 (75.641)
Epoch: [51][8230/14090]	Time 0.851 (0.768)	Data 0.001 (0.002)	Loss 2.0951 (2.1742)	Prec@1 45.312 (45.146)	Prec@5 78.906 (75.640)
Epoch: [51][8240/14090]	Time 0.737 (0.768)	Data 0.001 (0.002)	Loss 2.3328 (2.1742)	Prec@1 42.969 (45.144)	Prec@5 71.094 (75.639)
Epoch: [51][8250/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 2.1246 (2.1743)	Prec@1 43.750 (45.142)	Prec@5 77.344 (75.639)
Epoch: [51][8260/14090]	Time 0.744 (0.768)	Data 0.001 (0.002)	Loss 2.4397 (2.1742)	Prec@1 40.625 (45.143)	Prec@5 75.000 (75.639)
Epoch: [51][8270/14090]	Time 0.731 (0.768)	Data 0.001 (0.002)	Loss 2.2697 (2.1741)	Prec@1 40.625 (45.144)	Prec@5 75.000 (75.641)
Epoch: [51][8280/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 2.0639 (2.1741)	Prec@1 52.344 (45.147)	Prec@5 78.906 (75.640)
Epoch: [51][8290/14090]	Time 0.752 (0.768)	Data 0.001 (0.002)	Loss 2.0343 (2.1742)	Prec@1 46.875 (45.144)	Prec@5 79.688 (75.638)
Epoch: [51][8300/14090]	Time 0.878 (0.768)	Data 0.001 (0.002)	Loss 2.3201 (2.1742)	Prec@1 39.844 (45.144)	Prec@5 71.875 (75.636)
Epoch: [51][8310/14090]	Time 0.738 (0.768)	Data 0.002 (0.002)	Loss 2.1862 (2.1742)	Prec@1 42.188 (45.144)	Prec@5 75.781 (75.635)
Epoch: [51][8320/14090]	Time 0.780 (0.768)	Data 0.001 (0.002)	Loss 2.2667 (2.1742)	Prec@1 42.969 (45.146)	Prec@5 69.531 (75.635)
Epoch: [51][8330/14090]	Time 0.750 (0.768)	Data 0.001 (0.002)	Loss 2.2488 (2.1742)	Prec@1 39.844 (45.146)	Prec@5 72.656 (75.634)
Epoch: [51][8340/14090]	Time 0.741 (0.768)	Data 0.001 (0.002)	Loss 2.2611 (2.1742)	Prec@1 45.312 (45.146)	Prec@5 70.312 (75.633)
Epoch: [51][8350/14090]	Time 0.735 (0.768)	Data 0.001 (0.002)	Loss 1.8536 (2.1743)	Prec@1 51.562 (45.143)	Prec@5 78.906 (75.632)
Epoch: [51][8360/14090]	Time 0.729 (0.768)	Data 0.001 (0.002)	Loss 2.3720 (2.1744)	Prec@1 38.281 (45.140)	Prec@5 71.875 (75.631)
Epoch: [51][8370/14090]	Time 0.874 (0.768)	Data 0.001 (0.002)	Loss 2.3328 (2.1745)	Prec@1 39.062 (45.139)	Prec@5 70.312 (75.629)
Epoch: [51][8380/14090]	Time 0.725 (0.768)	Data 0.001 (0.002)	Loss 2.0359 (2.1743)	Prec@1 46.094 (45.141)	Prec@5 75.781 (75.630)
Epoch: [51][8390/14090]	Time 0.762 (0.768)	Data 0.001 (0.002)	Loss 2.1789 (2.1744)	Prec@1 42.188 (45.138)	Prec@5 76.562 (75.630)
Epoch: [51][8400/14090]	Time 0.747 (0.768)	Data 0.001 (0.002)	Loss 2.3469 (2.1746)	Prec@1 43.750 (45.134)	Prec@5 72.656 (75.625)
Epoch: [51][8410/14090]	Time 0.724 (0.768)	Data 0.001 (0.002)	Loss 2.0594 (2.1746)	Prec@1 49.219 (45.134)	Prec@5 78.125 (75.624)
Epoch: [51][8420/14090]	Time 0.732 (0.768)	Data 0.001 (0.002)	Loss 2.4523 (2.1747)	Prec@1 39.844 (45.134)	Prec@5 68.750 (75.624)
Epoch: [51][8430/14090]	Time 0.752 (0.768)	Data 0.001 (0.002)	Loss 2.4236 (2.1747)	Prec@1 39.062 (45.135)	Prec@5 70.312 (75.621)
Epoch: [51][8440/14090]	Time 0.904 (0.768)	Data 0.002 (0.001)	Loss 2.3532 (2.1747)	Prec@1 42.969 (45.134)	Prec@5 71.875 (75.621)
Epoch: [51][8450/14090]	Time 0.734 (0.768)	Data 0.001 (0.001)	Loss 2.1504 (2.1747)	Prec@1 47.656 (45.134)	Prec@5 73.438 (75.619)
Epoch: [51][8460/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 2.1923 (2.1747)	Prec@1 47.656 (45.134)	Prec@5 75.000 (75.619)
Epoch: [51][8470/14090]	Time 0.750 (0.768)	Data 0.001 (0.001)	Loss 2.3886 (2.1747)	Prec@1 33.594 (45.134)	Prec@5 67.969 (75.620)
Epoch: [51][8480/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 2.1932 (2.1748)	Prec@1 46.875 (45.133)	Prec@5 77.344 (75.619)
Epoch: [51][8490/14090]	Time 0.751 (0.768)	Data 0.001 (0.001)	Loss 2.2615 (2.1748)	Prec@1 44.531 (45.133)	Prec@5 72.656 (75.618)
Epoch: [51][8500/14090]	Time 0.744 (0.768)	Data 0.001 (0.001)	Loss 2.0294 (2.1748)	Prec@1 50.000 (45.134)	Prec@5 75.781 (75.620)
Epoch: [51][8510/14090]	Time 0.907 (0.768)	Data 0.001 (0.001)	Loss 2.0923 (2.1749)	Prec@1 53.125 (45.132)	Prec@5 75.781 (75.618)
Epoch: [51][8520/14090]	Time 0.726 (0.768)	Data 0.001 (0.001)	Loss 2.0941 (2.1748)	Prec@1 42.188 (45.135)	Prec@5 79.688 (75.620)
Epoch: [51][8530/14090]	Time 0.725 (0.768)	Data 0.001 (0.001)	Loss 1.9431 (2.1747)	Prec@1 50.000 (45.136)	Prec@5 78.125 (75.622)
Epoch: [51][8540/14090]	Time 0.740 (0.768)	Data 0.001 (0.001)	Loss 2.0502 (2.1746)	Prec@1 50.781 (45.139)	Prec@5 77.344 (75.621)
Epoch: [51][8550/14090]	Time 0.757 (0.768)	Data 0.001 (0.001)	Loss 2.2086 (2.1745)	Prec@1 46.875 (45.139)	Prec@5 72.656 (75.623)
Epoch: [51][8560/14090]	Time 0.734 (0.768)	Data 0.001 (0.001)	Loss 2.1152 (2.1746)	Prec@1 43.750 (45.139)	Prec@5 79.688 (75.621)
Epoch: [51][8570/14090]	Time 0.741 (0.768)	Data 0.001 (0.001)	Loss 2.0338 (2.1747)	Prec@1 49.219 (45.135)	Prec@5 77.344 (75.619)
Epoch: [51][8580/14090]	Time 0.855 (0.768)	Data 0.001 (0.001)	Loss 1.9393 (2.1748)	Prec@1 57.031 (45.135)	Prec@5 78.906 (75.618)
Epoch: [51][8590/14090]	Time 0.735 (0.768)	Data 0.001 (0.001)	Loss 2.1895 (2.1747)	Prec@1 46.875 (45.138)	Prec@5 79.688 (75.621)
Epoch: [51][8600/14090]	Time 0.735 (0.768)	Data 0.001 (0.001)	Loss 1.9726 (2.1748)	Prec@1 50.781 (45.136)	Prec@5 75.781 (75.620)
Epoch: [51][8610/14090]	Time 0.741 (0.768)	Data 0.001 (0.001)	Loss 2.1591 (2.1748)	Prec@1 42.969 (45.133)	Prec@5 73.438 (75.618)
Epoch: [51][8620/14090]	Time 0.756 (0.768)	Data 0.001 (0.001)	Loss 2.0957 (2.1749)	Prec@1 46.094 (45.131)	Prec@5 69.531 (75.615)
Epoch: [51][8630/14090]	Time 0.748 (0.768)	Data 0.001 (0.001)	Loss 2.3482 (2.1750)	Prec@1 45.312 (45.132)	Prec@5 71.094 (75.613)
Epoch: [51][8640/14090]	Time 0.776 (0.768)	Data 0.001 (0.001)	Loss 2.3700 (2.1750)	Prec@1 41.406 (45.130)	Prec@5 69.531 (75.613)
Epoch: [51][8650/14090]	Time 0.843 (0.768)	Data 0.001 (0.001)	Loss 2.2550 (2.1750)	Prec@1 42.969 (45.129)	Prec@5 75.000 (75.613)
Epoch: [51][8660/14090]	Time 0.727 (0.768)	Data 0.001 (0.001)	Loss 1.9852 (2.1750)	Prec@1 51.562 (45.129)	Prec@5 76.562 (75.613)
Epoch: [51][8670/14090]	Time 0.743 (0.768)	Data 0.001 (0.001)	Loss 2.3353 (2.1751)	Prec@1 43.750 (45.127)	Prec@5 75.781 (75.611)
Epoch: [51][8680/14090]	Time 0.781 (0.768)	Data 0.001 (0.001)	Loss 2.2346 (2.1751)	Prec@1 45.312 (45.126)	Prec@5 73.438 (75.609)
Epoch: [51][8690/14090]	Time 0.744 (0.768)	Data 0.001 (0.001)	Loss 2.2922 (2.1750)	Prec@1 45.312 (45.129)	Prec@5 71.094 (75.611)
Epoch: [51][8700/14090]	Time 0.759 (0.768)	Data 0.001 (0.001)	Loss 2.4632 (2.1752)	Prec@1 42.969 (45.127)	Prec@5 67.188 (75.609)
Epoch: [51][8710/14090]	Time 0.775 (0.768)	Data 0.001 (0.001)	Loss 2.2084 (2.1753)	Prec@1 49.219 (45.125)	Prec@5 72.656 (75.607)
Epoch: [51][8720/14090]	Time 0.879 (0.768)	Data 0.001 (0.001)	Loss 2.1962 (2.1754)	Prec@1 42.188 (45.123)	Prec@5 74.219 (75.607)
Epoch: [51][8730/14090]	Time 0.734 (0.768)	Data 0.001 (0.001)	Loss 2.0631 (2.1753)	Prec@1 47.656 (45.126)	Prec@5 80.469 (75.607)
Epoch: [51][8740/14090]	Time 0.725 (0.768)	Data 0.001 (0.001)	Loss 1.9859 (2.1753)	Prec@1 50.000 (45.128)	Prec@5 80.469 (75.608)
Epoch: [51][8750/14090]	Time 0.726 (0.768)	Data 0.001 (0.001)	Loss 2.3903 (2.1753)	Prec@1 42.188 (45.127)	Prec@5 72.656 (75.607)
Epoch: [51][8760/14090]	Time 0.732 (0.768)	Data 0.001 (0.001)	Loss 2.2286 (2.1752)	Prec@1 41.406 (45.128)	Prec@5 75.000 (75.608)
Epoch: [51][8770/14090]	Time 0.755 (0.768)	Data 0.002 (0.001)	Loss 2.2605 (2.1753)	Prec@1 39.844 (45.127)	Prec@5 73.438 (75.609)
Epoch: [51][8780/14090]	Time 0.775 (0.768)	Data 0.001 (0.001)	Loss 2.3261 (2.1753)	Prec@1 44.531 (45.125)	Prec@5 71.875 (75.609)
Epoch: [51][8790/14090]	Time 0.906 (0.768)	Data 0.001 (0.001)	Loss 2.0617 (2.1754)	Prec@1 49.219 (45.123)	Prec@5 78.906 (75.607)
Epoch: [51][8800/14090]	Time 0.760 (0.768)	Data 0.001 (0.001)	Loss 2.1806 (2.1755)	Prec@1 43.750 (45.121)	Prec@5 75.000 (75.605)
Epoch: [51][8810/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 2.4223 (2.1756)	Prec@1 42.188 (45.120)	Prec@5 73.438 (75.602)
Epoch: [51][8820/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 2.2490 (2.1756)	Prec@1 42.188 (45.120)	Prec@5 70.312 (75.600)
Epoch: [51][8830/14090]	Time 0.752 (0.768)	Data 0.001 (0.001)	Loss 2.3948 (2.1756)	Prec@1 35.156 (45.119)	Prec@5 75.000 (75.599)
Epoch: [51][8840/14090]	Time 0.752 (0.768)	Data 0.001 (0.001)	Loss 2.1394 (2.1757)	Prec@1 44.531 (45.117)	Prec@5 73.438 (75.599)
Epoch: [51][8850/14090]	Time 0.748 (0.768)	Data 0.001 (0.001)	Loss 2.3321 (2.1758)	Prec@1 42.188 (45.114)	Prec@5 73.438 (75.597)
Epoch: [51][8860/14090]	Time 0.860 (0.768)	Data 0.001 (0.001)	Loss 1.9310 (2.1759)	Prec@1 49.219 (45.114)	Prec@5 78.125 (75.596)
Epoch: [51][8870/14090]	Time 0.755 (0.768)	Data 0.001 (0.001)	Loss 2.1934 (2.1759)	Prec@1 46.875 (45.112)	Prec@5 74.219 (75.593)
Epoch: [51][8880/14090]	Time 0.780 (0.768)	Data 0.001 (0.001)	Loss 2.4292 (2.1760)	Prec@1 36.719 (45.108)	Prec@5 70.312 (75.591)
Epoch: [51][8890/14090]	Time 0.741 (0.768)	Data 0.001 (0.001)	Loss 2.4592 (2.1761)	Prec@1 42.188 (45.107)	Prec@5 70.312 (75.592)
Epoch: [51][8900/14090]	Time 0.734 (0.768)	Data 0.001 (0.001)	Loss 2.4334 (2.1761)	Prec@1 42.969 (45.107)	Prec@5 67.188 (75.591)
Epoch: [51][8910/14090]	Time 0.754 (0.768)	Data 0.001 (0.001)	Loss 2.1384 (2.1761)	Prec@1 46.875 (45.107)	Prec@5 78.125 (75.592)
Epoch: [51][8920/14090]	Time 0.732 (0.768)	Data 0.001 (0.001)	Loss 2.1977 (2.1760)	Prec@1 41.406 (45.107)	Prec@5 77.344 (75.592)
Epoch: [51][8930/14090]	Time 0.874 (0.768)	Data 0.001 (0.001)	Loss 2.4254 (2.1761)	Prec@1 39.062 (45.107)	Prec@5 72.656 (75.590)
Epoch: [51][8940/14090]	Time 0.757 (0.768)	Data 0.001 (0.001)	Loss 2.2248 (2.1761)	Prec@1 42.188 (45.109)	Prec@5 73.438 (75.592)
Epoch: [51][8950/14090]	Time 0.737 (0.768)	Data 0.001 (0.001)	Loss 2.0645 (2.1761)	Prec@1 50.781 (45.111)	Prec@5 81.250 (75.592)
Epoch: [51][8960/14090]	Time 0.728 (0.768)	Data 0.001 (0.001)	Loss 1.9631 (2.1760)	Prec@1 50.000 (45.112)	Prec@5 80.469 (75.592)
Epoch: [51][8970/14090]	Time 0.745 (0.768)	Data 0.001 (0.001)	Loss 2.1149 (2.1760)	Prec@1 50.781 (45.112)	Prec@5 77.344 (75.592)
Epoch: [51][8980/14090]	Time 0.745 (0.768)	Data 0.001 (0.001)	Loss 2.2247 (2.1761)	Prec@1 44.531 (45.113)	Prec@5 76.562 (75.592)
Epoch: [51][8990/14090]	Time 0.769 (0.768)	Data 0.001 (0.001)	Loss 2.2654 (2.1760)	Prec@1 46.875 (45.116)	Prec@5 73.438 (75.593)
Epoch: [51][9000/14090]	Time 0.988 (0.768)	Data 0.001 (0.001)	Loss 2.0332 (2.1760)	Prec@1 51.562 (45.115)	Prec@5 78.125 (75.593)
Epoch: [51][9010/14090]	Time 0.750 (0.768)	Data 0.001 (0.001)	Loss 2.4046 (2.1760)	Prec@1 42.188 (45.114)	Prec@5 71.875 (75.593)
Epoch: [51][9020/14090]	Time 0.783 (0.768)	Data 0.001 (0.001)	Loss 2.2452 (2.1760)	Prec@1 46.094 (45.118)	Prec@5 74.219 (75.594)
Epoch: [51][9030/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 2.1567 (2.1760)	Prec@1 43.750 (45.118)	Prec@5 80.469 (75.595)
Epoch: [51][9040/14090]	Time 0.742 (0.768)	Data 0.001 (0.001)	Loss 2.2459 (2.1760)	Prec@1 42.969 (45.117)	Prec@5 71.875 (75.593)
Epoch: [51][9050/14090]	Time 0.756 (0.768)	Data 0.001 (0.001)	Loss 2.0960 (2.1760)	Prec@1 44.531 (45.115)	Prec@5 80.469 (75.592)
Epoch: [51][9060/14090]	Time 0.776 (0.768)	Data 0.001 (0.001)	Loss 2.2255 (2.1762)	Prec@1 44.531 (45.114)	Prec@5 75.781 (75.590)
Epoch: [51][9070/14090]	Time 0.897 (0.768)	Data 0.001 (0.001)	Loss 2.0061 (2.1761)	Prec@1 50.781 (45.117)	Prec@5 78.906 (75.591)
Epoch: [51][9080/14090]	Time 0.747 (0.768)	Data 0.001 (0.001)	Loss 1.9114 (2.1762)	Prec@1 43.750 (45.116)	Prec@5 80.469 (75.589)
Epoch: [51][9090/14090]	Time 0.754 (0.768)	Data 0.001 (0.001)	Loss 2.1847 (2.1761)	Prec@1 47.656 (45.117)	Prec@5 76.562 (75.589)
Epoch: [51][9100/14090]	Time 0.757 (0.768)	Data 0.001 (0.001)	Loss 2.1578 (2.1762)	Prec@1 42.969 (45.116)	Prec@5 75.781 (75.588)
Epoch: [51][9110/14090]	Time 0.767 (0.768)	Data 0.002 (0.001)	Loss 2.4238 (2.1763)	Prec@1 36.719 (45.113)	Prec@5 75.000 (75.586)
Epoch: [51][9120/14090]	Time 0.720 (0.768)	Data 0.001 (0.001)	Loss 2.0828 (2.1762)	Prec@1 46.094 (45.113)	Prec@5 78.125 (75.588)
Epoch: [51][9130/14090]	Time 0.750 (0.768)	Data 0.001 (0.001)	Loss 2.1344 (2.1763)	Prec@1 44.531 (45.112)	Prec@5 78.906 (75.588)
Epoch: [51][9140/14090]	Time 0.868 (0.768)	Data 0.001 (0.001)	Loss 1.8168 (2.1762)	Prec@1 52.344 (45.112)	Prec@5 83.594 (75.588)
Epoch: [51][9150/14090]	Time 0.759 (0.768)	Data 0.001 (0.001)	Loss 2.0589 (2.1762)	Prec@1 53.125 (45.111)	Prec@5 80.469 (75.588)
Epoch: [51][9160/14090]	Time 0.760 (0.768)	Data 0.001 (0.001)	Loss 2.1723 (2.1762)	Prec@1 39.844 (45.110)	Prec@5 75.781 (75.589)
Epoch: [51][9170/14090]	Time 0.774 (0.768)	Data 0.001 (0.001)	Loss 2.4466 (2.1762)	Prec@1 39.844 (45.110)	Prec@5 71.094 (75.587)
Epoch: [51][9180/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 1.9494 (2.1762)	Prec@1 46.875 (45.110)	Prec@5 84.375 (75.587)
Epoch: [51][9190/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 2.0662 (2.1762)	Prec@1 48.438 (45.109)	Prec@5 78.906 (75.589)
Epoch: [51][9200/14090]	Time 0.760 (0.768)	Data 0.001 (0.001)	Loss 2.5020 (2.1763)	Prec@1 41.406 (45.109)	Prec@5 71.094 (75.588)
Epoch: [51][9210/14090]	Time 0.888 (0.768)	Data 0.001 (0.001)	Loss 2.2717 (2.1762)	Prec@1 44.531 (45.110)	Prec@5 74.219 (75.589)
Epoch: [51][9220/14090]	Time 0.775 (0.768)	Data 0.001 (0.001)	Loss 2.0740 (2.1763)	Prec@1 46.094 (45.107)	Prec@5 78.906 (75.589)
Epoch: [51][9230/14090]	Time 0.785 (0.768)	Data 0.001 (0.001)	Loss 2.2074 (2.1763)	Prec@1 43.750 (45.106)	Prec@5 78.125 (75.588)
Epoch: [51][9240/14090]	Time 0.762 (0.768)	Data 0.001 (0.001)	Loss 2.1478 (2.1763)	Prec@1 41.406 (45.106)	Prec@5 74.219 (75.589)
Epoch: [51][9250/14090]	Time 0.756 (0.768)	Data 0.001 (0.001)	Loss 2.1641 (2.1763)	Prec@1 47.656 (45.106)	Prec@5 74.219 (75.590)
Epoch: [51][9260/14090]	Time 0.728 (0.768)	Data 0.001 (0.001)	Loss 2.2415 (2.1763)	Prec@1 45.312 (45.102)	Prec@5 75.781 (75.589)
Epoch: [51][9270/14090]	Time 0.727 (0.768)	Data 0.001 (0.001)	Loss 1.8391 (2.1764)	Prec@1 49.219 (45.099)	Prec@5 82.031 (75.588)
Epoch: [51][9280/14090]	Time 0.875 (0.768)	Data 0.001 (0.001)	Loss 2.1245 (2.1764)	Prec@1 40.625 (45.099)	Prec@5 79.688 (75.586)
Epoch: [51][9290/14090]	Time 0.750 (0.768)	Data 0.001 (0.001)	Loss 2.0515 (2.1764)	Prec@1 57.812 (45.100)	Prec@5 79.688 (75.586)
Epoch: [51][9300/14090]	Time 0.745 (0.768)	Data 0.001 (0.001)	Loss 1.8879 (2.1764)	Prec@1 44.531 (45.100)	Prec@5 80.469 (75.588)
Epoch: [51][9310/14090]	Time 0.778 (0.768)	Data 0.001 (0.001)	Loss 2.2066 (2.1763)	Prec@1 46.875 (45.101)	Prec@5 75.781 (75.589)
Epoch: [51][9320/14090]	Time 0.729 (0.768)	Data 0.002 (0.001)	Loss 1.8761 (2.1762)	Prec@1 53.125 (45.102)	Prec@5 82.031 (75.591)
Epoch: [51][9330/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 1.9539 (2.1763)	Prec@1 48.438 (45.103)	Prec@5 79.688 (75.590)
Epoch: [51][9340/14090]	Time 0.744 (0.768)	Data 0.001 (0.001)	Loss 2.3268 (2.1763)	Prec@1 40.625 (45.102)	Prec@5 75.000 (75.590)
Epoch: [51][9350/14090]	Time 0.881 (0.768)	Data 0.001 (0.001)	Loss 2.1812 (2.1763)	Prec@1 45.312 (45.103)	Prec@5 78.906 (75.589)
Epoch: [51][9360/14090]	Time 0.725 (0.768)	Data 0.001 (0.001)	Loss 2.0197 (2.1764)	Prec@1 48.438 (45.101)	Prec@5 76.562 (75.589)
Epoch: [51][9370/14090]	Time 0.742 (0.768)	Data 0.001 (0.001)	Loss 1.8972 (2.1764)	Prec@1 49.219 (45.101)	Prec@5 78.125 (75.588)
Epoch: [51][9380/14090]	Time 0.734 (0.768)	Data 0.001 (0.001)	Loss 2.0047 (2.1763)	Prec@1 53.906 (45.104)	Prec@5 81.250 (75.590)
Epoch: [51][9390/14090]	Time 0.757 (0.768)	Data 0.001 (0.001)	Loss 1.9069 (2.1764)	Prec@1 44.531 (45.101)	Prec@5 80.469 (75.589)
Epoch: [51][9400/14090]	Time 0.754 (0.768)	Data 0.001 (0.001)	Loss 2.2175 (2.1764)	Prec@1 42.188 (45.101)	Prec@5 75.781 (75.589)
Epoch: [51][9410/14090]	Time 0.747 (0.768)	Data 0.001 (0.001)	Loss 2.1109 (2.1765)	Prec@1 46.094 (45.100)	Prec@5 78.906 (75.588)
Epoch: [51][9420/14090]	Time 0.848 (0.768)	Data 0.001 (0.001)	Loss 2.4119 (2.1765)	Prec@1 38.281 (45.098)	Prec@5 69.531 (75.588)
Epoch: [51][9430/14090]	Time 0.740 (0.768)	Data 0.001 (0.001)	Loss 1.9853 (2.1765)	Prec@1 53.906 (45.098)	Prec@5 77.344 (75.587)
Epoch: [51][9440/14090]	Time 0.780 (0.768)	Data 0.001 (0.001)	Loss 2.2987 (2.1765)	Prec@1 42.188 (45.096)	Prec@5 72.656 (75.588)
Epoch: [51][9450/14090]	Time 0.761 (0.768)	Data 0.001 (0.001)	Loss 2.1285 (2.1766)	Prec@1 41.406 (45.095)	Prec@5 74.219 (75.587)
Epoch: [51][9460/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 2.1127 (2.1765)	Prec@1 44.531 (45.097)	Prec@5 75.781 (75.589)
Epoch: [51][9470/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 2.3492 (2.1766)	Prec@1 40.625 (45.096)	Prec@5 72.656 (75.588)
Epoch: [51][9480/14090]	Time 0.737 (0.768)	Data 0.001 (0.001)	Loss 1.9633 (2.1766)	Prec@1 48.438 (45.095)	Prec@5 80.469 (75.588)
Epoch: [51][9490/14090]	Time 0.851 (0.768)	Data 0.001 (0.001)	Loss 2.2265 (2.1766)	Prec@1 41.406 (45.095)	Prec@5 75.781 (75.587)
Epoch: [51][9500/14090]	Time 0.754 (0.768)	Data 0.001 (0.001)	Loss 2.2494 (2.1766)	Prec@1 46.094 (45.098)	Prec@5 73.438 (75.588)
Epoch: [51][9510/14090]	Time 0.763 (0.768)	Data 0.001 (0.001)	Loss 2.0884 (2.1766)	Prec@1 42.969 (45.098)	Prec@5 74.219 (75.588)
Epoch: [51][9520/14090]	Time 0.746 (0.768)	Data 0.001 (0.001)	Loss 2.1951 (2.1766)	Prec@1 45.312 (45.098)	Prec@5 76.562 (75.589)
Epoch: [51][9530/14090]	Time 0.733 (0.768)	Data 0.001 (0.001)	Loss 1.9541 (2.1766)	Prec@1 51.562 (45.098)	Prec@5 81.250 (75.589)
Epoch: [51][9540/14090]	Time 0.750 (0.768)	Data 0.001 (0.001)	Loss 2.1137 (2.1766)	Prec@1 46.875 (45.100)	Prec@5 78.125 (75.589)
Epoch: [51][9550/14090]	Time 0.795 (0.768)	Data 0.001 (0.001)	Loss 2.1759 (2.1766)	Prec@1 49.219 (45.100)	Prec@5 74.219 (75.589)
Epoch: [51][9560/14090]	Time 0.920 (0.768)	Data 0.001 (0.001)	Loss 2.2559 (2.1767)	Prec@1 37.500 (45.099)	Prec@5 75.000 (75.589)
Epoch: [51][9570/14090]	Time 0.728 (0.768)	Data 0.001 (0.001)	Loss 2.0235 (2.1766)	Prec@1 39.844 (45.098)	Prec@5 80.469 (75.589)
Epoch: [51][9580/14090]	Time 0.734 (0.768)	Data 0.001 (0.001)	Loss 2.5795 (2.1767)	Prec@1 40.625 (45.097)	Prec@5 66.406 (75.587)
Epoch: [51][9590/14090]	Time 0.755 (0.768)	Data 0.001 (0.001)	Loss 2.2423 (2.1766)	Prec@1 49.219 (45.099)	Prec@5 74.219 (75.588)
Epoch: [51][9600/14090]	Time 0.778 (0.768)	Data 0.001 (0.001)	Loss 2.2935 (2.1766)	Prec@1 38.281 (45.100)	Prec@5 75.000 (75.588)
Epoch: [51][9610/14090]	Time 0.743 (0.768)	Data 0.001 (0.001)	Loss 2.1485 (2.1766)	Prec@1 46.875 (45.100)	Prec@5 73.438 (75.587)
Epoch: [51][9620/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 2.1690 (2.1766)	Prec@1 42.188 (45.101)	Prec@5 79.688 (75.587)
Epoch: [51][9630/14090]	Time 0.848 (0.768)	Data 0.001 (0.001)	Loss 2.2075 (2.1767)	Prec@1 45.312 (45.100)	Prec@5 71.094 (75.587)
Epoch: [51][9640/14090]	Time 0.759 (0.768)	Data 0.001 (0.001)	Loss 2.0728 (2.1766)	Prec@1 47.656 (45.100)	Prec@5 77.344 (75.587)
Epoch: [51][9650/14090]	Time 0.787 (0.768)	Data 0.001 (0.001)	Loss 2.1771 (2.1766)	Prec@1 39.062 (45.100)	Prec@5 76.562 (75.588)
Epoch: [51][9660/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 1.8988 (2.1765)	Prec@1 48.438 (45.100)	Prec@5 82.812 (75.590)
Epoch: [51][9670/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 2.2851 (2.1765)	Prec@1 39.062 (45.100)	Prec@5 70.312 (75.589)
Epoch: [51][9680/14090]	Time 0.754 (0.768)	Data 0.001 (0.001)	Loss 2.4461 (2.1767)	Prec@1 43.750 (45.096)	Prec@5 69.531 (75.588)
Epoch: [51][9690/14090]	Time 0.775 (0.768)	Data 0.001 (0.001)	Loss 2.3177 (2.1767)	Prec@1 45.312 (45.097)	Prec@5 72.656 (75.588)
Epoch: [51][9700/14090]	Time 0.862 (0.768)	Data 0.001 (0.001)	Loss 2.2714 (2.1767)	Prec@1 42.188 (45.095)	Prec@5 76.562 (75.588)
Epoch: [51][9710/14090]	Time 0.741 (0.768)	Data 0.001 (0.001)	Loss 2.2761 (2.1768)	Prec@1 46.875 (45.094)	Prec@5 73.438 (75.587)
Epoch: [51][9720/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 2.2882 (2.1768)	Prec@1 43.750 (45.093)	Prec@5 75.781 (75.586)
Epoch: [51][9730/14090]	Time 0.744 (0.768)	Data 0.001 (0.001)	Loss 2.5283 (2.1768)	Prec@1 38.281 (45.092)	Prec@5 74.219 (75.586)
Epoch: [51][9740/14090]	Time 0.737 (0.768)	Data 0.001 (0.001)	Loss 2.2385 (2.1769)	Prec@1 40.625 (45.092)	Prec@5 77.344 (75.586)
Epoch: [51][9750/14090]	Time 0.749 (0.768)	Data 0.001 (0.001)	Loss 2.2814 (2.1769)	Prec@1 42.969 (45.091)	Prec@5 77.344 (75.585)
Epoch: [51][9760/14090]	Time 0.788 (0.768)	Data 0.001 (0.001)	Loss 1.8363 (2.1768)	Prec@1 52.344 (45.091)	Prec@5 83.594 (75.586)
Epoch: [51][9770/14090]	Time 0.853 (0.768)	Data 0.001 (0.001)	Loss 2.3040 (2.1768)	Prec@1 36.719 (45.091)	Prec@5 75.781 (75.587)
Epoch: [51][9780/14090]	Time 0.778 (0.768)	Data 0.001 (0.001)	Loss 2.0837 (2.1768)	Prec@1 46.875 (45.090)	Prec@5 78.125 (75.586)
Epoch: [51][9790/14090]	Time 0.769 (0.768)	Data 0.001 (0.001)	Loss 2.5091 (2.1769)	Prec@1 34.375 (45.086)	Prec@5 71.094 (75.583)
Epoch: [51][9800/14090]	Time 0.733 (0.768)	Data 0.001 (0.001)	Loss 2.3684 (2.1770)	Prec@1 46.094 (45.085)	Prec@5 70.312 (75.581)
Epoch: [51][9810/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 2.2983 (2.1770)	Prec@1 41.406 (45.085)	Prec@5 75.000 (75.583)
Epoch: [51][9820/14090]	Time 0.769 (0.768)	Data 0.001 (0.001)	Loss 2.1041 (2.1770)	Prec@1 46.094 (45.085)	Prec@5 76.562 (75.583)
Epoch: [51][9830/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 2.4037 (2.1770)	Prec@1 45.312 (45.087)	Prec@5 70.312 (75.584)
Epoch: [51][9840/14090]	Time 0.919 (0.768)	Data 0.001 (0.001)	Loss 2.1090 (2.1769)	Prec@1 45.312 (45.089)	Prec@5 78.906 (75.585)
Epoch: [51][9850/14090]	Time 0.741 (0.768)	Data 0.001 (0.001)	Loss 2.0466 (2.1770)	Prec@1 45.312 (45.087)	Prec@5 74.219 (75.583)
Epoch: [51][9860/14090]	Time 0.744 (0.768)	Data 0.001 (0.001)	Loss 2.1285 (2.1770)	Prec@1 47.656 (45.086)	Prec@5 76.562 (75.584)
Epoch: [51][9870/14090]	Time 0.776 (0.768)	Data 0.001 (0.001)	Loss 2.2876 (2.1770)	Prec@1 45.312 (45.086)	Prec@5 71.094 (75.583)
Epoch: [51][9880/14090]	Time 0.725 (0.768)	Data 0.001 (0.001)	Loss 2.5206 (2.1772)	Prec@1 35.938 (45.083)	Prec@5 71.094 (75.581)
Epoch: [51][9890/14090]	Time 0.761 (0.768)	Data 0.001 (0.001)	Loss 2.3824 (2.1771)	Prec@1 43.750 (45.084)	Prec@5 71.094 (75.582)
Epoch: [51][9900/14090]	Time 0.750 (0.768)	Data 0.001 (0.001)	Loss 2.4570 (2.1771)	Prec@1 36.719 (45.084)	Prec@5 75.000 (75.582)
Epoch: [51][9910/14090]	Time 0.873 (0.768)	Data 0.001 (0.001)	Loss 2.1786 (2.1772)	Prec@1 39.844 (45.083)	Prec@5 70.312 (75.581)
Epoch: [51][9920/14090]	Time 0.729 (0.768)	Data 0.001 (0.001)	Loss 2.2844 (2.1772)	Prec@1 43.750 (45.083)	Prec@5 75.000 (75.581)
Epoch: [51][9930/14090]	Time 0.722 (0.768)	Data 0.001 (0.001)	Loss 2.3705 (2.1771)	Prec@1 39.844 (45.084)	Prec@5 70.312 (75.581)
Epoch: [51][9940/14090]	Time 0.732 (0.768)	Data 0.001 (0.001)	Loss 2.1169 (2.1771)	Prec@1 50.000 (45.083)	Prec@5 78.125 (75.583)
Epoch: [51][9950/14090]	Time 0.766 (0.768)	Data 0.001 (0.001)	Loss 2.0801 (2.1771)	Prec@1 46.094 (45.083)	Prec@5 73.438 (75.582)
Epoch: [51][9960/14090]	Time 0.737 (0.768)	Data 0.001 (0.001)	Loss 2.4159 (2.1771)	Prec@1 39.062 (45.083)	Prec@5 71.094 (75.583)
Epoch: [51][9970/14090]	Time 0.737 (0.768)	Data 0.001 (0.001)	Loss 2.3379 (2.1771)	Prec@1 38.281 (45.082)	Prec@5 69.531 (75.582)
Epoch: [51][9980/14090]	Time 0.861 (0.768)	Data 0.001 (0.001)	Loss 2.3255 (2.1773)	Prec@1 38.281 (45.079)	Prec@5 75.781 (75.579)
Epoch: [51][9990/14090]	Time 0.734 (0.768)	Data 0.001 (0.001)	Loss 2.4691 (2.1773)	Prec@1 39.844 (45.079)	Prec@5 65.625 (75.578)
Epoch: [51][10000/14090]	Time 0.733 (0.768)	Data 0.001 (0.001)	Loss 2.1788 (2.1774)	Prec@1 42.969 (45.078)	Prec@5 75.000 (75.578)
Epoch: [51][10010/14090]	Time 0.765 (0.768)	Data 0.001 (0.001)	Loss 2.0369 (2.1773)	Prec@1 47.656 (45.078)	Prec@5 78.125 (75.579)
Epoch: [51][10020/14090]	Time 0.778 (0.768)	Data 0.001 (0.001)	Loss 2.2995 (2.1774)	Prec@1 36.719 (45.077)	Prec@5 75.000 (75.580)
Epoch: [51][10030/14090]	Time 0.747 (0.768)	Data 0.001 (0.001)	Loss 2.2183 (2.1774)	Prec@1 46.875 (45.077)	Prec@5 76.562 (75.578)
Epoch: [51][10040/14090]	Time 0.784 (0.768)	Data 0.001 (0.001)	Loss 2.2659 (2.1775)	Prec@1 40.625 (45.074)	Prec@5 75.781 (75.576)
Epoch: [51][10050/14090]	Time 0.838 (0.768)	Data 0.001 (0.001)	Loss 2.1712 (2.1775)	Prec@1 47.656 (45.073)	Prec@5 75.000 (75.575)
Epoch: [51][10060/14090]	Time 0.720 (0.768)	Data 0.001 (0.001)	Loss 2.1884 (2.1775)	Prec@1 45.312 (45.074)	Prec@5 72.656 (75.575)
Epoch: [51][10070/14090]	Time 0.763 (0.768)	Data 0.001 (0.001)	Loss 2.2453 (2.1775)	Prec@1 47.656 (45.073)	Prec@5 71.875 (75.573)
Epoch: [51][10080/14090]	Time 0.733 (0.768)	Data 0.001 (0.001)	Loss 1.9580 (2.1775)	Prec@1 53.125 (45.074)	Prec@5 78.906 (75.574)
Epoch: [51][10090/14090]	Time 0.762 (0.768)	Data 0.001 (0.001)	Loss 2.2726 (2.1775)	Prec@1 35.938 (45.071)	Prec@5 71.094 (75.573)
Epoch: [51][10100/14090]	Time 0.755 (0.768)	Data 0.001 (0.001)	Loss 1.9965 (2.1775)	Prec@1 47.656 (45.070)	Prec@5 82.031 (75.574)
Epoch: [51][10110/14090]	Time 0.782 (0.768)	Data 0.001 (0.001)	Loss 1.7908 (2.1774)	Prec@1 50.781 (45.070)	Prec@5 79.688 (75.574)
Epoch: [51][10120/14090]	Time 0.903 (0.768)	Data 0.001 (0.001)	Loss 2.0255 (2.1774)	Prec@1 48.438 (45.072)	Prec@5 78.125 (75.577)
Epoch: [51][10130/14090]	Time 0.780 (0.768)	Data 0.001 (0.001)	Loss 2.3024 (2.1773)	Prec@1 42.188 (45.072)	Prec@5 75.781 (75.576)
Epoch: [51][10140/14090]	Time 0.759 (0.768)	Data 0.001 (0.001)	Loss 2.3366 (2.1774)	Prec@1 43.750 (45.070)	Prec@5 71.094 (75.576)
Epoch: [51][10150/14090]	Time 0.781 (0.768)	Data 0.001 (0.001)	Loss 2.2112 (2.1774)	Prec@1 42.188 (45.070)	Prec@5 76.562 (75.574)
Epoch: [51][10160/14090]	Time 0.740 (0.768)	Data 0.001 (0.001)	Loss 2.1978 (2.1774)	Prec@1 41.406 (45.070)	Prec@5 73.438 (75.575)
Epoch: [51][10170/14090]	Time 0.740 (0.768)	Data 0.001 (0.001)	Loss 2.0295 (2.1774)	Prec@1 44.531 (45.070)	Prec@5 79.688 (75.575)
Epoch: [51][10180/14090]	Time 0.750 (0.768)	Data 0.001 (0.001)	Loss 2.1330 (2.1774)	Prec@1 44.531 (45.069)	Prec@5 75.781 (75.577)
Epoch: [51][10190/14090]	Time 0.869 (0.768)	Data 0.001 (0.001)	Loss 2.3324 (2.1774)	Prec@1 43.750 (45.069)	Prec@5 78.125 (75.577)
Epoch: [51][10200/14090]	Time 0.730 (0.768)	Data 0.001 (0.001)	Loss 2.2688 (2.1774)	Prec@1 46.875 (45.070)	Prec@5 73.438 (75.576)
Epoch: [51][10210/14090]	Time 0.765 (0.768)	Data 0.001 (0.001)	Loss 2.1968 (2.1774)	Prec@1 42.969 (45.068)	Prec@5 74.219 (75.575)
Epoch: [51][10220/14090]	Time 0.748 (0.768)	Data 0.001 (0.001)	Loss 2.2180 (2.1775)	Prec@1 46.094 (45.068)	Prec@5 75.000 (75.576)
Epoch: [51][10230/14090]	Time 0.780 (0.768)	Data 0.001 (0.001)	Loss 2.0917 (2.1775)	Prec@1 46.094 (45.066)	Prec@5 77.344 (75.576)
Epoch: [51][10240/14090]	Time 0.748 (0.768)	Data 0.001 (0.001)	Loss 2.0623 (2.1775)	Prec@1 56.250 (45.068)	Prec@5 76.562 (75.577)
Epoch: [51][10250/14090]	Time 0.749 (0.768)	Data 0.001 (0.001)	Loss 2.1442 (2.1775)	Prec@1 41.406 (45.067)	Prec@5 78.906 (75.579)
Epoch: [51][10260/14090]	Time 0.846 (0.768)	Data 0.001 (0.001)	Loss 2.1117 (2.1775)	Prec@1 45.312 (45.066)	Prec@5 78.906 (75.578)
Epoch: [51][10270/14090]	Time 0.743 (0.768)	Data 0.001 (0.001)	Loss 2.0993 (2.1775)	Prec@1 44.531 (45.065)	Prec@5 77.344 (75.579)
Epoch: [51][10280/14090]	Time 0.766 (0.768)	Data 0.001 (0.001)	Loss 2.1780 (2.1774)	Prec@1 47.656 (45.067)	Prec@5 75.000 (75.577)
Epoch: [51][10290/14090]	Time 0.755 (0.768)	Data 0.001 (0.001)	Loss 2.4483 (2.1775)	Prec@1 42.188 (45.067)	Prec@5 71.875 (75.577)
Epoch: [51][10300/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 2.2755 (2.1775)	Prec@1 43.750 (45.069)	Prec@5 73.438 (75.577)
Epoch: [51][10310/14090]	Time 0.732 (0.768)	Data 0.001 (0.001)	Loss 2.1064 (2.1775)	Prec@1 52.344 (45.069)	Prec@5 78.906 (75.577)
Epoch: [51][10320/14090]	Time 0.735 (0.768)	Data 0.001 (0.001)	Loss 2.4870 (2.1777)	Prec@1 37.500 (45.065)	Prec@5 70.312 (75.573)
Epoch: [51][10330/14090]	Time 0.895 (0.768)	Data 0.001 (0.001)	Loss 2.5283 (2.1777)	Prec@1 40.625 (45.064)	Prec@5 69.531 (75.573)
Epoch: [51][10340/14090]	Time 0.783 (0.768)	Data 0.001 (0.001)	Loss 2.2321 (2.1776)	Prec@1 44.531 (45.065)	Prec@5 73.438 (75.574)
Epoch: [51][10350/14090]	Time 0.735 (0.768)	Data 0.001 (0.001)	Loss 1.9684 (2.1777)	Prec@1 49.219 (45.063)	Prec@5 78.906 (75.573)
Epoch: [51][10360/14090]	Time 0.740 (0.768)	Data 0.001 (0.001)	Loss 2.2980 (2.1777)	Prec@1 46.875 (45.064)	Prec@5 70.312 (75.572)
Epoch: [51][10370/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 2.0657 (2.1778)	Prec@1 48.438 (45.062)	Prec@5 80.469 (75.572)
Epoch: [51][10380/14090]	Time 0.750 (0.768)	Data 0.001 (0.001)	Loss 2.2573 (2.1779)	Prec@1 39.062 (45.059)	Prec@5 75.000 (75.570)
Epoch: [51][10390/14090]	Time 0.771 (0.768)	Data 0.001 (0.001)	Loss 2.2271 (2.1779)	Prec@1 47.656 (45.061)	Prec@5 71.094 (75.570)
Epoch: [51][10400/14090]	Time 0.842 (0.768)	Data 0.001 (0.001)	Loss 2.1766 (2.1779)	Prec@1 39.062 (45.061)	Prec@5 79.688 (75.572)
Epoch: [51][10410/14090]	Time 0.725 (0.768)	Data 0.001 (0.001)	Loss 2.0833 (2.1778)	Prec@1 46.875 (45.062)	Prec@5 71.875 (75.572)
Epoch: [51][10420/14090]	Time 0.729 (0.768)	Data 0.001 (0.001)	Loss 2.2165 (2.1779)	Prec@1 46.094 (45.061)	Prec@5 77.344 (75.571)
Epoch: [51][10430/14090]	Time 0.735 (0.768)	Data 0.001 (0.001)	Loss 2.3098 (2.1778)	Prec@1 38.281 (45.062)	Prec@5 71.875 (75.571)
Epoch: [51][10440/14090]	Time 0.758 (0.768)	Data 0.001 (0.001)	Loss 1.9763 (2.1778)	Prec@1 50.000 (45.063)	Prec@5 78.906 (75.572)
Epoch: [51][10450/14090]	Time 0.730 (0.768)	Data 0.001 (0.001)	Loss 2.3408 (2.1778)	Prec@1 39.844 (45.061)	Prec@5 73.438 (75.572)
Epoch: [51][10460/14090]	Time 0.765 (0.768)	Data 0.001 (0.001)	Loss 2.2070 (2.1778)	Prec@1 44.531 (45.062)	Prec@5 73.438 (75.573)
Epoch: [51][10470/14090]	Time 0.868 (0.768)	Data 0.001 (0.001)	Loss 2.5368 (2.1779)	Prec@1 37.500 (45.060)	Prec@5 67.969 (75.571)
Epoch: [51][10480/14090]	Time 0.774 (0.768)	Data 0.001 (0.001)	Loss 2.3145 (2.1780)	Prec@1 43.750 (45.058)	Prec@5 77.344 (75.568)
Epoch: [51][10490/14090]	Time 0.749 (0.768)	Data 0.001 (0.001)	Loss 2.0499 (2.1780)	Prec@1 47.656 (45.057)	Prec@5 77.344 (75.568)
Epoch: [51][10500/14090]	Time 0.764 (0.768)	Data 0.001 (0.001)	Loss 1.9228 (2.1780)	Prec@1 50.781 (45.057)	Prec@5 83.594 (75.569)
Epoch: [51][10510/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 2.1158 (2.1780)	Prec@1 50.781 (45.059)	Prec@5 73.438 (75.569)
Epoch: [51][10520/14090]	Time 0.743 (0.768)	Data 0.001 (0.001)	Loss 2.0609 (2.1781)	Prec@1 41.406 (45.057)	Prec@5 82.812 (75.570)
Epoch: [51][10530/14090]	Time 0.765 (0.768)	Data 0.001 (0.001)	Loss 1.9997 (2.1780)	Prec@1 46.875 (45.059)	Prec@5 82.812 (75.571)
Epoch: [51][10540/14090]	Time 0.875 (0.768)	Data 0.001 (0.001)	Loss 2.1214 (2.1780)	Prec@1 47.656 (45.059)	Prec@5 77.344 (75.572)
Epoch: [51][10550/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 2.1781 (2.1779)	Prec@1 52.344 (45.061)	Prec@5 76.562 (75.574)
Epoch: [51][10560/14090]	Time 0.757 (0.768)	Data 0.001 (0.001)	Loss 2.2873 (2.1779)	Prec@1 44.531 (45.061)	Prec@5 71.094 (75.573)
Epoch: [51][10570/14090]	Time 0.750 (0.768)	Data 0.001 (0.001)	Loss 2.0842 (2.1778)	Prec@1 49.219 (45.062)	Prec@5 81.250 (75.575)
Epoch: [51][10580/14090]	Time 0.762 (0.768)	Data 0.001 (0.001)	Loss 2.1719 (2.1777)	Prec@1 47.656 (45.063)	Prec@5 73.438 (75.577)
Epoch: [51][10590/14090]	Time 0.747 (0.768)	Data 0.001 (0.001)	Loss 2.4194 (2.1777)	Prec@1 36.719 (45.062)	Prec@5 72.656 (75.578)
Epoch: [51][10600/14090]	Time 0.760 (0.768)	Data 0.001 (0.001)	Loss 2.2825 (2.1777)	Prec@1 50.781 (45.062)	Prec@5 71.875 (75.577)
Epoch: [51][10610/14090]	Time 0.886 (0.768)	Data 0.001 (0.001)	Loss 2.3392 (2.1777)	Prec@1 39.062 (45.063)	Prec@5 75.000 (75.578)
Epoch: [51][10620/14090]	Time 0.725 (0.768)	Data 0.001 (0.001)	Loss 1.9998 (2.1777)	Prec@1 52.344 (45.062)	Prec@5 75.781 (75.579)
Epoch: [51][10630/14090]	Time 0.742 (0.768)	Data 0.001 (0.001)	Loss 1.8942 (2.1776)	Prec@1 50.000 (45.061)	Prec@5 78.906 (75.581)
Epoch: [51][10640/14090]	Time 0.756 (0.768)	Data 0.001 (0.001)	Loss 1.9821 (2.1776)	Prec@1 49.219 (45.060)	Prec@5 80.469 (75.581)
Epoch: [51][10650/14090]	Time 0.790 (0.768)	Data 0.001 (0.001)	Loss 2.1838 (2.1776)	Prec@1 46.875 (45.059)	Prec@5 76.562 (75.581)
Epoch: [51][10660/14090]	Time 0.726 (0.768)	Data 0.001 (0.001)	Loss 2.3342 (2.1777)	Prec@1 41.406 (45.057)	Prec@5 73.438 (75.580)
Epoch: [51][10670/14090]	Time 0.741 (0.768)	Data 0.001 (0.001)	Loss 2.3172 (2.1777)	Prec@1 43.750 (45.057)	Prec@5 73.438 (75.580)
Epoch: [51][10680/14090]	Time 0.894 (0.768)	Data 0.001 (0.001)	Loss 2.1273 (2.1777)	Prec@1 45.312 (45.057)	Prec@5 78.125 (75.580)
Epoch: [51][10690/14090]	Time 0.730 (0.768)	Data 0.001 (0.001)	Loss 2.3540 (2.1777)	Prec@1 49.219 (45.057)	Prec@5 71.094 (75.581)
Epoch: [51][10700/14090]	Time 0.762 (0.768)	Data 0.002 (0.001)	Loss 2.1552 (2.1777)	Prec@1 46.094 (45.058)	Prec@5 75.781 (75.580)
Epoch: [51][10710/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 2.0440 (2.1778)	Prec@1 47.656 (45.056)	Prec@5 76.562 (75.580)
Epoch: [51][10720/14090]	Time 0.755 (0.768)	Data 0.001 (0.001)	Loss 2.3264 (2.1778)	Prec@1 38.281 (45.056)	Prec@5 71.875 (75.581)
Epoch: [51][10730/14090]	Time 0.759 (0.768)	Data 0.001 (0.001)	Loss 1.8038 (2.1778)	Prec@1 53.906 (45.057)	Prec@5 83.594 (75.580)
Epoch: [51][10740/14090]	Time 0.729 (0.768)	Data 0.001 (0.001)	Loss 1.9366 (2.1777)	Prec@1 48.438 (45.059)	Prec@5 78.906 (75.581)
Epoch: [51][10750/14090]	Time 0.880 (0.768)	Data 0.001 (0.001)	Loss 2.3220 (2.1778)	Prec@1 36.719 (45.057)	Prec@5 75.781 (75.580)
Epoch: [51][10760/14090]	Time 0.730 (0.768)	Data 0.001 (0.001)	Loss 2.3574 (2.1778)	Prec@1 42.188 (45.056)	Prec@5 70.312 (75.580)
Epoch: [51][10770/14090]	Time 0.749 (0.768)	Data 0.001 (0.001)	Loss 1.9255 (2.1779)	Prec@1 49.219 (45.056)	Prec@5 79.688 (75.579)
Epoch: [51][10780/14090]	Time 0.773 (0.768)	Data 0.001 (0.001)	Loss 2.2160 (2.1780)	Prec@1 43.750 (45.055)	Prec@5 71.875 (75.577)
Epoch: [51][10790/14090]	Time 0.750 (0.768)	Data 0.001 (0.001)	Loss 2.0634 (2.1780)	Prec@1 42.188 (45.053)	Prec@5 77.344 (75.577)
Epoch: [51][10800/14090]	Time 0.748 (0.768)	Data 0.001 (0.001)	Loss 1.9350 (2.1781)	Prec@1 47.656 (45.051)	Prec@5 79.688 (75.576)
Epoch: [51][10810/14090]	Time 0.746 (0.768)	Data 0.001 (0.001)	Loss 2.3271 (2.1781)	Prec@1 42.969 (45.050)	Prec@5 70.312 (75.575)
Epoch: [51][10820/14090]	Time 0.889 (0.768)	Data 0.001 (0.001)	Loss 2.2387 (2.1782)	Prec@1 50.000 (45.050)	Prec@5 72.656 (75.574)
Epoch: [51][10830/14090]	Time 0.762 (0.768)	Data 0.001 (0.001)	Loss 2.1817 (2.1782)	Prec@1 46.094 (45.050)	Prec@5 73.438 (75.574)
Epoch: [51][10840/14090]	Time 0.747 (0.768)	Data 0.001 (0.001)	Loss 2.1158 (2.1782)	Prec@1 46.094 (45.051)	Prec@5 74.219 (75.573)
Epoch: [51][10850/14090]	Time 0.767 (0.768)	Data 0.001 (0.001)	Loss 2.0708 (2.1781)	Prec@1 49.219 (45.053)	Prec@5 76.562 (75.574)
Epoch: [51][10860/14090]	Time 0.757 (0.768)	Data 0.001 (0.001)	Loss 2.2293 (2.1781)	Prec@1 45.312 (45.052)	Prec@5 74.219 (75.575)
Epoch: [51][10870/14090]	Time 0.747 (0.768)	Data 0.001 (0.001)	Loss 2.3009 (2.1781)	Prec@1 39.844 (45.052)	Prec@5 76.562 (75.576)
Epoch: [51][10880/14090]	Time 0.729 (0.768)	Data 0.001 (0.001)	Loss 2.2601 (2.1781)	Prec@1 44.531 (45.052)	Prec@5 73.438 (75.577)
Epoch: [51][10890/14090]	Time 0.893 (0.768)	Data 0.001 (0.001)	Loss 1.8486 (2.1780)	Prec@1 50.781 (45.053)	Prec@5 81.250 (75.579)
Epoch: [51][10900/14090]	Time 0.762 (0.768)	Data 0.001 (0.001)	Loss 2.0747 (2.1780)	Prec@1 50.781 (45.054)	Prec@5 76.562 (75.579)
Epoch: [51][10910/14090]	Time 0.764 (0.768)	Data 0.001 (0.001)	Loss 2.1955 (2.1780)	Prec@1 46.094 (45.053)	Prec@5 76.562 (75.580)
Epoch: [51][10920/14090]	Time 0.732 (0.768)	Data 0.001 (0.001)	Loss 2.1211 (2.1780)	Prec@1 40.625 (45.052)	Prec@5 78.906 (75.580)
Epoch: [51][10930/14090]	Time 0.783 (0.768)	Data 0.001 (0.001)	Loss 1.9257 (2.1780)	Prec@1 57.031 (45.052)	Prec@5 79.688 (75.582)
Epoch: [51][10940/14090]	Time 0.748 (0.768)	Data 0.001 (0.001)	Loss 2.4156 (2.1780)	Prec@1 42.188 (45.052)	Prec@5 71.094 (75.582)
Epoch: [51][10950/14090]	Time 0.721 (0.768)	Data 0.001 (0.001)	Loss 2.1926 (2.1781)	Prec@1 46.875 (45.051)	Prec@5 75.000 (75.581)
Epoch: [51][10960/14090]	Time 0.985 (0.768)	Data 0.001 (0.001)	Loss 1.9763 (2.1780)	Prec@1 51.562 (45.054)	Prec@5 75.781 (75.582)
Epoch: [51][10970/14090]	Time 0.772 (0.768)	Data 0.001 (0.001)	Loss 2.1742 (2.1781)	Prec@1 49.219 (45.053)	Prec@5 75.000 (75.581)
Epoch: [51][10980/14090]	Time 0.751 (0.768)	Data 0.001 (0.001)	Loss 2.5252 (2.1781)	Prec@1 35.938 (45.051)	Prec@5 69.531 (75.581)
Epoch: [51][10990/14090]	Time 0.754 (0.768)	Data 0.001 (0.001)	Loss 2.3495 (2.1781)	Prec@1 38.281 (45.052)	Prec@5 69.531 (75.580)
Epoch: [51][11000/14090]	Time 0.762 (0.768)	Data 0.001 (0.001)	Loss 2.0920 (2.1780)	Prec@1 42.969 (45.052)	Prec@5 76.562 (75.581)
Epoch: [51][11010/14090]	Time 0.758 (0.768)	Data 0.002 (0.001)	Loss 2.3919 (2.1780)	Prec@1 41.406 (45.051)	Prec@5 68.750 (75.581)
Epoch: [51][11020/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 2.1732 (2.1780)	Prec@1 47.656 (45.052)	Prec@5 74.219 (75.582)
Epoch: [51][11030/14090]	Time 0.874 (0.768)	Data 0.001 (0.001)	Loss 1.9988 (2.1780)	Prec@1 46.094 (45.050)	Prec@5 75.781 (75.580)
Epoch: [51][11040/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 2.2454 (2.1780)	Prec@1 42.969 (45.051)	Prec@5 73.438 (75.581)
Epoch: [51][11050/14090]	Time 0.732 (0.768)	Data 0.001 (0.001)	Loss 1.8888 (2.1779)	Prec@1 53.125 (45.053)	Prec@5 77.344 (75.582)
Epoch: [51][11060/14090]	Time 0.733 (0.768)	Data 0.001 (0.001)	Loss 1.9216 (2.1779)	Prec@1 49.219 (45.053)	Prec@5 77.344 (75.582)
Epoch: [51][11070/14090]	Time 0.740 (0.768)	Data 0.001 (0.001)	Loss 2.1626 (2.1779)	Prec@1 43.750 (45.053)	Prec@5 74.219 (75.581)
Epoch: [51][11080/14090]	Time 0.729 (0.768)	Data 0.001 (0.001)	Loss 2.0961 (2.1779)	Prec@1 50.000 (45.052)	Prec@5 75.000 (75.581)
Epoch: [51][11090/14090]	Time 0.756 (0.768)	Data 0.002 (0.001)	Loss 2.6152 (2.1779)	Prec@1 38.281 (45.053)	Prec@5 67.188 (75.581)
Epoch: [51][11100/14090]	Time 0.882 (0.768)	Data 0.001 (0.001)	Loss 2.1775 (2.1779)	Prec@1 46.875 (45.053)	Prec@5 78.125 (75.581)
Epoch: [51][11110/14090]	Time 0.750 (0.768)	Data 0.001 (0.001)	Loss 2.3033 (2.1778)	Prec@1 39.062 (45.051)	Prec@5 74.219 (75.582)
Epoch: [51][11120/14090]	Time 0.778 (0.768)	Data 0.001 (0.001)	Loss 2.2556 (2.1778)	Prec@1 46.875 (45.053)	Prec@5 73.438 (75.584)
Epoch: [51][11130/14090]	Time 0.791 (0.768)	Data 0.001 (0.001)	Loss 2.0316 (2.1778)	Prec@1 48.438 (45.051)	Prec@5 78.125 (75.583)
Epoch: [51][11140/14090]	Time 0.748 (0.768)	Data 0.001 (0.001)	Loss 2.4294 (2.1778)	Prec@1 37.500 (45.052)	Prec@5 75.781 (75.584)
Epoch: [51][11150/14090]	Time 0.772 (0.768)	Data 0.001 (0.001)	Loss 2.1798 (2.1777)	Prec@1 46.094 (45.054)	Prec@5 74.219 (75.586)
Epoch: [51][11160/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 2.1680 (2.1778)	Prec@1 50.000 (45.053)	Prec@5 73.438 (75.585)
Epoch: [51][11170/14090]	Time 0.921 (0.768)	Data 0.001 (0.001)	Loss 2.1197 (2.1778)	Prec@1 47.656 (45.051)	Prec@5 75.000 (75.583)
Epoch: [51][11180/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 2.1146 (2.1778)	Prec@1 45.312 (45.052)	Prec@5 77.344 (75.582)
Epoch: [51][11190/14090]	Time 0.729 (0.768)	Data 0.001 (0.001)	Loss 2.0603 (2.1777)	Prec@1 49.219 (45.055)	Prec@5 78.906 (75.585)
Epoch: [51][11200/14090]	Time 0.765 (0.768)	Data 0.001 (0.001)	Loss 2.3954 (2.1778)	Prec@1 39.844 (45.055)	Prec@5 68.750 (75.583)
Epoch: [51][11210/14090]	Time 0.748 (0.768)	Data 0.001 (0.001)	Loss 1.8130 (2.1777)	Prec@1 50.000 (45.058)	Prec@5 83.594 (75.585)
Epoch: [51][11220/14090]	Time 0.762 (0.768)	Data 0.001 (0.001)	Loss 2.0062 (2.1777)	Prec@1 47.656 (45.057)	Prec@5 81.250 (75.584)
Epoch: [51][11230/14090]	Time 0.754 (0.768)	Data 0.001 (0.001)	Loss 2.0081 (2.1777)	Prec@1 52.344 (45.056)	Prec@5 80.469 (75.584)
Epoch: [51][11240/14090]	Time 0.879 (0.768)	Data 0.001 (0.001)	Loss 1.8692 (2.1777)	Prec@1 50.781 (45.056)	Prec@5 82.812 (75.585)
Epoch: [51][11250/14090]	Time 0.742 (0.768)	Data 0.001 (0.001)	Loss 2.2531 (2.1777)	Prec@1 46.875 (45.056)	Prec@5 71.094 (75.584)
Epoch: [51][11260/14090]	Time 0.729 (0.768)	Data 0.001 (0.001)	Loss 2.3394 (2.1778)	Prec@1 40.625 (45.054)	Prec@5 70.312 (75.583)
Epoch: [51][11270/14090]	Time 0.784 (0.768)	Data 0.002 (0.001)	Loss 2.1541 (2.1778)	Prec@1 43.750 (45.052)	Prec@5 73.438 (75.582)
Epoch: [51][11280/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 1.9445 (2.1779)	Prec@1 52.344 (45.052)	Prec@5 75.000 (75.581)
Epoch: [51][11290/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 2.1034 (2.1779)	Prec@1 52.344 (45.051)	Prec@5 78.125 (75.581)
Epoch: [51][11300/14090]	Time 0.782 (0.768)	Data 0.001 (0.001)	Loss 1.8877 (2.1780)	Prec@1 55.469 (45.049)	Prec@5 83.594 (75.580)
Epoch: [51][11310/14090]	Time 0.843 (0.768)	Data 0.001 (0.001)	Loss 2.1545 (2.1779)	Prec@1 41.406 (45.050)	Prec@5 76.562 (75.580)
Epoch: [51][11320/14090]	Time 0.733 (0.768)	Data 0.001 (0.001)	Loss 2.1560 (2.1780)	Prec@1 37.500 (45.049)	Prec@5 78.906 (75.581)
Epoch: [51][11330/14090]	Time 0.760 (0.768)	Data 0.001 (0.001)	Loss 2.1680 (2.1779)	Prec@1 46.094 (45.050)	Prec@5 77.344 (75.581)
Epoch: [51][11340/14090]	Time 0.730 (0.768)	Data 0.001 (0.001)	Loss 2.1376 (2.1779)	Prec@1 44.531 (45.052)	Prec@5 80.469 (75.582)
Epoch: [51][11350/14090]	Time 0.732 (0.768)	Data 0.001 (0.001)	Loss 2.1633 (2.1779)	Prec@1 45.312 (45.052)	Prec@5 75.781 (75.581)
Epoch: [51][11360/14090]	Time 0.758 (0.768)	Data 0.001 (0.001)	Loss 2.4982 (2.1780)	Prec@1 40.625 (45.051)	Prec@5 68.750 (75.580)
Epoch: [51][11370/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 1.9105 (2.1779)	Prec@1 53.125 (45.052)	Prec@5 84.375 (75.582)
Epoch: [51][11380/14090]	Time 0.826 (0.768)	Data 0.001 (0.001)	Loss 2.5089 (2.1779)	Prec@1 40.625 (45.051)	Prec@5 71.094 (75.582)
Epoch: [51][11390/14090]	Time 0.750 (0.768)	Data 0.001 (0.001)	Loss 2.2828 (2.1779)	Prec@1 35.156 (45.048)	Prec@5 74.219 (75.583)
Epoch: [51][11400/14090]	Time 0.732 (0.768)	Data 0.002 (0.001)	Loss 2.4893 (2.1779)	Prec@1 40.625 (45.048)	Prec@5 66.406 (75.583)
Epoch: [51][11410/14090]	Time 0.789 (0.768)	Data 0.001 (0.001)	Loss 2.3634 (2.1780)	Prec@1 38.281 (45.047)	Prec@5 73.438 (75.584)
Epoch: [51][11420/14090]	Time 0.734 (0.768)	Data 0.001 (0.001)	Loss 2.1330 (2.1780)	Prec@1 40.625 (45.045)	Prec@5 73.438 (75.584)
Epoch: [51][11430/14090]	Time 0.752 (0.768)	Data 0.001 (0.001)	Loss 2.2179 (2.1780)	Prec@1 42.188 (45.044)	Prec@5 71.875 (75.583)
Epoch: [51][11440/14090]	Time 0.733 (0.768)	Data 0.001 (0.001)	Loss 2.0326 (2.1779)	Prec@1 42.188 (45.046)	Prec@5 78.906 (75.585)
Epoch: [51][11450/14090]	Time 0.862 (0.768)	Data 0.001 (0.001)	Loss 2.4576 (2.1779)	Prec@1 42.188 (45.047)	Prec@5 69.531 (75.585)
Epoch: [51][11460/14090]	Time 0.733 (0.768)	Data 0.001 (0.001)	Loss 2.1899 (2.1779)	Prec@1 46.094 (45.048)	Prec@5 75.781 (75.586)
Epoch: [51][11470/14090]	Time 0.727 (0.768)	Data 0.001 (0.001)	Loss 2.1313 (2.1779)	Prec@1 43.750 (45.047)	Prec@5 78.125 (75.586)
Epoch: [51][11480/14090]	Time 0.759 (0.768)	Data 0.001 (0.001)	Loss 2.1316 (2.1780)	Prec@1 42.969 (45.045)	Prec@5 78.906 (75.586)
Epoch: [51][11490/14090]	Time 0.735 (0.768)	Data 0.001 (0.001)	Loss 2.3364 (2.1780)	Prec@1 43.750 (45.043)	Prec@5 68.750 (75.585)
Epoch: [51][11500/14090]	Time 0.748 (0.768)	Data 0.001 (0.001)	Loss 2.4237 (2.1781)	Prec@1 35.156 (45.041)	Prec@5 73.438 (75.586)
Epoch: [51][11510/14090]	Time 0.771 (0.768)	Data 0.001 (0.001)	Loss 2.1987 (2.1781)	Prec@1 44.531 (45.042)	Prec@5 78.125 (75.585)
Epoch: [51][11520/14090]	Time 0.871 (0.768)	Data 0.001 (0.001)	Loss 2.0701 (2.1780)	Prec@1 42.969 (45.041)	Prec@5 77.344 (75.585)
Epoch: [51][11530/14090]	Time 0.749 (0.768)	Data 0.001 (0.001)	Loss 2.1896 (2.1780)	Prec@1 52.344 (45.042)	Prec@5 73.438 (75.587)
Epoch: [51][11540/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 2.1900 (2.1780)	Prec@1 41.406 (45.041)	Prec@5 79.688 (75.585)
Epoch: [51][11550/14090]	Time 0.767 (0.768)	Data 0.001 (0.001)	Loss 2.5651 (2.1781)	Prec@1 35.938 (45.039)	Prec@5 72.656 (75.585)
Epoch: [51][11560/14090]	Time 0.781 (0.768)	Data 0.001 (0.001)	Loss 2.2693 (2.1781)	Prec@1 39.844 (45.037)	Prec@5 77.344 (75.585)
Epoch: [51][11570/14090]	Time 0.743 (0.768)	Data 0.001 (0.001)	Loss 2.0917 (2.1781)	Prec@1 50.000 (45.039)	Prec@5 80.469 (75.585)
Epoch: [51][11580/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 2.2600 (2.1780)	Prec@1 44.531 (45.039)	Prec@5 73.438 (75.586)
Epoch: [51][11590/14090]	Time 0.843 (0.768)	Data 0.001 (0.001)	Loss 1.8246 (2.1780)	Prec@1 55.469 (45.040)	Prec@5 85.156 (75.588)
Epoch: [51][11600/14090]	Time 0.724 (0.768)	Data 0.001 (0.001)	Loss 2.0013 (2.1780)	Prec@1 49.219 (45.040)	Prec@5 78.906 (75.587)
Epoch: [51][11610/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 2.0890 (2.1780)	Prec@1 47.656 (45.040)	Prec@5 78.125 (75.587)
Epoch: [51][11620/14090]	Time 0.729 (0.768)	Data 0.001 (0.001)	Loss 1.8659 (2.1781)	Prec@1 52.344 (45.038)	Prec@5 81.250 (75.585)
Epoch: [51][11630/14090]	Time 0.743 (0.768)	Data 0.001 (0.001)	Loss 2.1350 (2.1781)	Prec@1 56.250 (45.039)	Prec@5 75.781 (75.584)
Epoch: [51][11640/14090]	Time 0.758 (0.768)	Data 0.001 (0.001)	Loss 2.3773 (2.1782)	Prec@1 42.188 (45.038)	Prec@5 71.094 (75.584)
Epoch: [51][11650/14090]	Time 0.755 (0.768)	Data 0.001 (0.001)	Loss 2.0308 (2.1782)	Prec@1 48.438 (45.038)	Prec@5 75.781 (75.583)
Epoch: [51][11660/14090]	Time 0.877 (0.768)	Data 0.001 (0.001)	Loss 2.0637 (2.1782)	Prec@1 45.312 (45.037)	Prec@5 77.344 (75.582)
Epoch: [51][11670/14090]	Time 0.781 (0.768)	Data 0.001 (0.001)	Loss 2.2027 (2.1782)	Prec@1 43.750 (45.037)	Prec@5 75.000 (75.582)
Epoch: [51][11680/14090]	Time 0.765 (0.768)	Data 0.001 (0.001)	Loss 2.0709 (2.1782)	Prec@1 42.188 (45.037)	Prec@5 76.562 (75.581)
Epoch: [51][11690/14090]	Time 0.766 (0.768)	Data 0.001 (0.001)	Loss 2.1487 (2.1782)	Prec@1 46.875 (45.037)	Prec@5 81.250 (75.582)
Epoch: [51][11700/14090]	Time 0.729 (0.768)	Data 0.001 (0.001)	Loss 2.3974 (2.1782)	Prec@1 37.500 (45.036)	Prec@5 70.312 (75.581)
Epoch: [51][11710/14090]	Time 0.777 (0.768)	Data 0.001 (0.001)	Loss 2.3271 (2.1782)	Prec@1 41.406 (45.037)	Prec@5 67.969 (75.580)
Epoch: [51][11720/14090]	Time 0.752 (0.768)	Data 0.001 (0.001)	Loss 2.3968 (2.1782)	Prec@1 42.969 (45.037)	Prec@5 71.094 (75.579)
Epoch: [51][11730/14090]	Time 0.907 (0.768)	Data 0.001 (0.001)	Loss 2.4928 (2.1782)	Prec@1 40.625 (45.036)	Prec@5 70.312 (75.580)
Epoch: [51][11740/14090]	Time 0.720 (0.768)	Data 0.001 (0.001)	Loss 2.2447 (2.1782)	Prec@1 44.531 (45.037)	Prec@5 73.438 (75.580)
Epoch: [51][11750/14090]	Time 0.782 (0.768)	Data 0.001 (0.001)	Loss 2.4234 (2.1783)	Prec@1 38.281 (45.035)	Prec@5 71.094 (75.579)
Epoch: [51][11760/14090]	Time 0.745 (0.768)	Data 0.001 (0.001)	Loss 2.0737 (2.1782)	Prec@1 48.438 (45.035)	Prec@5 75.781 (75.579)
Epoch: [51][11770/14090]	Time 0.776 (0.768)	Data 0.001 (0.001)	Loss 2.4348 (2.1782)	Prec@1 40.625 (45.033)	Prec@5 70.312 (75.578)
Epoch: [51][11780/14090]	Time 0.722 (0.768)	Data 0.001 (0.001)	Loss 2.5422 (2.1783)	Prec@1 32.031 (45.033)	Prec@5 69.531 (75.578)
Epoch: [51][11790/14090]	Time 0.740 (0.768)	Data 0.001 (0.001)	Loss 2.5437 (2.1784)	Prec@1 32.031 (45.030)	Prec@5 72.656 (75.576)
Epoch: [51][11800/14090]	Time 0.840 (0.768)	Data 0.001 (0.001)	Loss 2.3496 (2.1785)	Prec@1 39.844 (45.029)	Prec@5 72.656 (75.574)
Epoch: [51][11810/14090]	Time 0.751 (0.768)	Data 0.001 (0.001)	Loss 2.0826 (2.1785)	Prec@1 47.656 (45.028)	Prec@5 75.000 (75.573)
Epoch: [51][11820/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 2.0097 (2.1786)	Prec@1 47.656 (45.026)	Prec@5 81.250 (75.572)
Epoch: [51][11830/14090]	Time 0.743 (0.768)	Data 0.001 (0.001)	Loss 2.0028 (2.1786)	Prec@1 43.750 (45.027)	Prec@5 76.562 (75.572)
Epoch: [51][11840/14090]	Time 0.737 (0.768)	Data 0.001 (0.001)	Loss 2.2284 (2.1786)	Prec@1 42.969 (45.026)	Prec@5 67.969 (75.570)
Epoch: [51][11850/14090]	Time 0.734 (0.768)	Data 0.001 (0.001)	Loss 1.8589 (2.1786)	Prec@1 54.688 (45.026)	Prec@5 79.688 (75.570)
Epoch: [51][11860/14090]	Time 0.754 (0.768)	Data 0.001 (0.001)	Loss 2.0347 (2.1786)	Prec@1 48.438 (45.026)	Prec@5 75.781 (75.571)
Epoch: [51][11870/14090]	Time 0.859 (0.768)	Data 0.001 (0.001)	Loss 1.9197 (2.1787)	Prec@1 57.812 (45.025)	Prec@5 81.250 (75.572)
Epoch: [51][11880/14090]	Time 0.774 (0.768)	Data 0.001 (0.001)	Loss 2.3422 (2.1788)	Prec@1 41.406 (45.024)	Prec@5 76.562 (75.571)
Epoch: [51][11890/14090]	Time 0.728 (0.768)	Data 0.001 (0.001)	Loss 2.3275 (2.1788)	Prec@1 43.750 (45.025)	Prec@5 73.438 (75.570)
Epoch: [51][11900/14090]	Time 0.737 (0.768)	Data 0.001 (0.001)	Loss 2.0096 (2.1788)	Prec@1 42.969 (45.024)	Prec@5 83.594 (75.571)
Epoch: [51][11910/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 2.1435 (2.1788)	Prec@1 49.219 (45.024)	Prec@5 76.562 (75.569)
Epoch: [51][11920/14090]	Time 0.752 (0.768)	Data 0.001 (0.001)	Loss 2.2088 (2.1788)	Prec@1 45.312 (45.025)	Prec@5 76.562 (75.569)
Epoch: [51][11930/14090]	Time 0.764 (0.768)	Data 0.001 (0.001)	Loss 2.2145 (2.1788)	Prec@1 41.406 (45.026)	Prec@5 73.438 (75.570)
Epoch: [51][11940/14090]	Time 0.870 (0.768)	Data 0.001 (0.001)	Loss 2.2200 (2.1789)	Prec@1 45.312 (45.025)	Prec@5 73.438 (75.570)
Epoch: [51][11950/14090]	Time 0.756 (0.768)	Data 0.001 (0.001)	Loss 2.2320 (2.1788)	Prec@1 42.969 (45.025)	Prec@5 73.438 (75.570)
Epoch: [51][11960/14090]	Time 0.775 (0.768)	Data 0.001 (0.001)	Loss 2.5676 (2.1788)	Prec@1 35.938 (45.025)	Prec@5 69.531 (75.570)
Epoch: [51][11970/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 2.2764 (2.1789)	Prec@1 40.625 (45.023)	Prec@5 75.000 (75.571)
Epoch: [51][11980/14090]	Time 0.771 (0.768)	Data 0.001 (0.001)	Loss 2.1759 (2.1789)	Prec@1 46.875 (45.022)	Prec@5 74.219 (75.571)
Epoch: [51][11990/14090]	Time 0.742 (0.768)	Data 0.001 (0.001)	Loss 2.0840 (2.1789)	Prec@1 53.906 (45.022)	Prec@5 77.344 (75.571)
Epoch: [51][12000/14090]	Time 0.787 (0.768)	Data 0.001 (0.001)	Loss 2.0701 (2.1789)	Prec@1 42.969 (45.021)	Prec@5 78.125 (75.571)
Epoch: [51][12010/14090]	Time 0.849 (0.768)	Data 0.001 (0.001)	Loss 2.4379 (2.1790)	Prec@1 38.281 (45.020)	Prec@5 68.750 (75.571)
Epoch: [51][12020/14090]	Time 0.771 (0.768)	Data 0.001 (0.001)	Loss 1.9998 (2.1790)	Prec@1 51.562 (45.020)	Prec@5 79.688 (75.572)
Epoch: [51][12030/14090]	Time 0.740 (0.768)	Data 0.001 (0.001)	Loss 2.0408 (2.1789)	Prec@1 50.000 (45.021)	Prec@5 76.562 (75.572)
Epoch: [51][12040/14090]	Time 0.772 (0.768)	Data 0.001 (0.001)	Loss 2.4200 (2.1789)	Prec@1 38.281 (45.021)	Prec@5 69.531 (75.572)
Epoch: [51][12050/14090]	Time 0.729 (0.768)	Data 0.001 (0.001)	Loss 1.9390 (2.1789)	Prec@1 50.781 (45.021)	Prec@5 78.906 (75.571)
Epoch: [51][12060/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 2.1359 (2.1788)	Prec@1 48.438 (45.023)	Prec@5 71.875 (75.571)
Epoch: [51][12070/14090]	Time 0.751 (0.768)	Data 0.001 (0.001)	Loss 2.3173 (2.1789)	Prec@1 42.969 (45.023)	Prec@5 73.438 (75.571)
Epoch: [51][12080/14090]	Time 0.905 (0.768)	Data 0.001 (0.001)	Loss 2.4913 (2.1788)	Prec@1 35.156 (45.024)	Prec@5 71.094 (75.572)
Epoch: [51][12090/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 2.1637 (2.1789)	Prec@1 50.000 (45.024)	Prec@5 76.562 (75.571)
Epoch: [51][12100/14090]	Time 0.737 (0.768)	Data 0.001 (0.001)	Loss 2.0726 (2.1789)	Prec@1 45.312 (45.023)	Prec@5 71.875 (75.570)
Epoch: [51][12110/14090]	Time 0.792 (0.768)	Data 0.001 (0.001)	Loss 2.3417 (2.1789)	Prec@1 38.281 (45.020)	Prec@5 74.219 (75.569)
Epoch: [51][12120/14090]	Time 0.730 (0.768)	Data 0.001 (0.001)	Loss 2.2071 (2.1789)	Prec@1 47.656 (45.020)	Prec@5 72.656 (75.570)
Epoch: [51][12130/14090]	Time 0.768 (0.768)	Data 0.001 (0.001)	Loss 2.2086 (2.1789)	Prec@1 42.969 (45.021)	Prec@5 74.219 (75.572)
Epoch: [51][12140/14090]	Time 0.748 (0.768)	Data 0.001 (0.001)	Loss 2.2712 (2.1789)	Prec@1 42.969 (45.021)	Prec@5 68.750 (75.572)
Epoch: [51][12150/14090]	Time 0.900 (0.768)	Data 0.001 (0.001)	Loss 2.0289 (2.1789)	Prec@1 46.094 (45.020)	Prec@5 77.344 (75.571)
Epoch: [51][12160/14090]	Time 0.775 (0.768)	Data 0.001 (0.001)	Loss 2.0034 (2.1789)	Prec@1 50.781 (45.019)	Prec@5 78.906 (75.573)
Epoch: [51][12170/14090]	Time 0.768 (0.768)	Data 0.001 (0.001)	Loss 2.0942 (2.1789)	Prec@1 42.188 (45.017)	Prec@5 78.125 (75.573)
Epoch: [51][12180/14090]	Time 0.724 (0.768)	Data 0.001 (0.001)	Loss 2.1523 (2.1789)	Prec@1 50.000 (45.017)	Prec@5 75.781 (75.572)
Epoch: [51][12190/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 2.1251 (2.1790)	Prec@1 46.094 (45.015)	Prec@5 75.781 (75.571)
Epoch: [51][12200/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 2.0806 (2.1790)	Prec@1 47.656 (45.014)	Prec@5 77.344 (75.570)
Epoch: [51][12210/14090]	Time 0.729 (0.768)	Data 0.001 (0.001)	Loss 2.2315 (2.1790)	Prec@1 39.844 (45.014)	Prec@5 73.438 (75.571)
Epoch: [51][12220/14090]	Time 0.838 (0.768)	Data 0.001 (0.001)	Loss 1.8582 (2.1790)	Prec@1 50.781 (45.015)	Prec@5 82.031 (75.572)
Epoch: [51][12230/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 2.2373 (2.1790)	Prec@1 41.406 (45.014)	Prec@5 77.344 (75.572)
Epoch: [51][12240/14090]	Time 0.734 (0.768)	Data 0.001 (0.001)	Loss 2.4894 (2.1790)	Prec@1 35.156 (45.014)	Prec@5 67.969 (75.572)
Epoch: [51][12250/14090]	Time 0.785 (0.768)	Data 0.001 (0.001)	Loss 2.3718 (2.1790)	Prec@1 41.406 (45.013)	Prec@5 71.875 (75.571)
Epoch: [51][12260/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 1.9604 (2.1790)	Prec@1 50.000 (45.013)	Prec@5 78.125 (75.571)
Epoch: [51][12270/14090]	Time 0.740 (0.768)	Data 0.001 (0.001)	Loss 2.0122 (2.1791)	Prec@1 51.562 (45.012)	Prec@5 76.562 (75.570)
Epoch: [51][12280/14090]	Time 0.735 (0.768)	Data 0.001 (0.001)	Loss 2.1623 (2.1791)	Prec@1 43.750 (45.013)	Prec@5 75.000 (75.570)
Epoch: [51][12290/14090]	Time 0.894 (0.768)	Data 0.001 (0.001)	Loss 2.2061 (2.1791)	Prec@1 42.969 (45.012)	Prec@5 77.344 (75.569)
Epoch: [51][12300/14090]	Time 0.750 (0.768)	Data 0.001 (0.001)	Loss 2.1772 (2.1791)	Prec@1 44.531 (45.011)	Prec@5 81.250 (75.570)
Epoch: [51][12310/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 2.3117 (2.1792)	Prec@1 37.500 (45.009)	Prec@5 72.656 (75.569)
Epoch: [51][12320/14090]	Time 0.758 (0.768)	Data 0.001 (0.001)	Loss 2.0146 (2.1792)	Prec@1 44.531 (45.009)	Prec@5 81.250 (75.570)
Epoch: [51][12330/14090]	Time 0.722 (0.768)	Data 0.001 (0.001)	Loss 2.2535 (2.1791)	Prec@1 43.750 (45.011)	Prec@5 78.125 (75.571)
Epoch: [51][12340/14090]	Time 0.728 (0.768)	Data 0.001 (0.001)	Loss 1.9922 (2.1791)	Prec@1 50.000 (45.011)	Prec@5 82.812 (75.571)
Epoch: [51][12350/14090]	Time 0.747 (0.768)	Data 0.001 (0.001)	Loss 2.0881 (2.1791)	Prec@1 40.625 (45.011)	Prec@5 76.562 (75.572)
Epoch: [51][12360/14090]	Time 0.874 (0.768)	Data 0.001 (0.001)	Loss 2.2453 (2.1791)	Prec@1 43.750 (45.009)	Prec@5 72.656 (75.571)
Epoch: [51][12370/14090]	Time 0.742 (0.768)	Data 0.001 (0.001)	Loss 2.2385 (2.1791)	Prec@1 41.406 (45.009)	Prec@5 76.562 (75.572)
Epoch: [51][12380/14090]	Time 0.771 (0.768)	Data 0.001 (0.001)	Loss 2.1385 (2.1792)	Prec@1 45.312 (45.010)	Prec@5 74.219 (75.572)
Epoch: [51][12390/14090]	Time 0.727 (0.768)	Data 0.001 (0.001)	Loss 2.1822 (2.1792)	Prec@1 42.188 (45.008)	Prec@5 72.656 (75.570)
Epoch: [51][12400/14090]	Time 0.779 (0.768)	Data 0.001 (0.001)	Loss 1.9109 (2.1792)	Prec@1 49.219 (45.006)	Prec@5 83.594 (75.571)
Epoch: [51][12410/14090]	Time 0.769 (0.768)	Data 0.001 (0.001)	Loss 2.0963 (2.1792)	Prec@1 49.219 (45.007)	Prec@5 77.344 (75.571)
Epoch: [51][12420/14090]	Time 0.750 (0.768)	Data 0.001 (0.001)	Loss 2.1466 (2.1792)	Prec@1 43.750 (45.005)	Prec@5 76.562 (75.570)
Epoch: [51][12430/14090]	Time 0.898 (0.768)	Data 0.001 (0.001)	Loss 1.7642 (2.1792)	Prec@1 54.688 (45.006)	Prec@5 80.469 (75.569)
Epoch: [51][12440/14090]	Time 0.754 (0.768)	Data 0.001 (0.001)	Loss 2.3526 (2.1793)	Prec@1 35.938 (45.005)	Prec@5 74.219 (75.569)
Epoch: [51][12450/14090]	Time 0.759 (0.768)	Data 0.001 (0.001)	Loss 1.8234 (2.1793)	Prec@1 50.781 (45.004)	Prec@5 82.812 (75.570)
Epoch: [51][12460/14090]	Time 0.766 (0.768)	Data 0.001 (0.001)	Loss 2.1914 (2.1793)	Prec@1 43.750 (45.004)	Prec@5 74.219 (75.570)
Epoch: [51][12470/14090]	Time 0.744 (0.768)	Data 0.001 (0.001)	Loss 2.5133 (2.1793)	Prec@1 39.062 (45.005)	Prec@5 62.500 (75.568)
Epoch: [51][12480/14090]	Time 0.763 (0.768)	Data 0.001 (0.001)	Loss 2.3786 (2.1793)	Prec@1 38.281 (45.003)	Prec@5 70.312 (75.568)
Epoch: [51][12490/14090]	Time 0.734 (0.768)	Data 0.001 (0.001)	Loss 1.9175 (2.1793)	Prec@1 48.438 (45.004)	Prec@5 77.344 (75.569)
Epoch: [51][12500/14090]	Time 0.847 (0.768)	Data 0.001 (0.001)	Loss 2.5145 (2.1793)	Prec@1 39.062 (45.005)	Prec@5 70.312 (75.569)
Epoch: [51][12510/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 2.1697 (2.1794)	Prec@1 42.188 (45.004)	Prec@5 76.562 (75.567)
Epoch: [51][12520/14090]	Time 0.742 (0.768)	Data 0.001 (0.001)	Loss 2.4161 (2.1794)	Prec@1 43.750 (45.004)	Prec@5 72.656 (75.566)
Epoch: [51][12530/14090]	Time 0.758 (0.768)	Data 0.001 (0.001)	Loss 2.1965 (2.1794)	Prec@1 46.094 (45.003)	Prec@5 71.875 (75.566)
Epoch: [51][12540/14090]	Time 0.725 (0.768)	Data 0.001 (0.001)	Loss 2.2619 (2.1794)	Prec@1 47.656 (45.003)	Prec@5 71.094 (75.565)
Epoch: [51][12550/14090]	Time 0.723 (0.768)	Data 0.001 (0.001)	Loss 1.6915 (2.1793)	Prec@1 55.469 (45.003)	Prec@5 84.375 (75.568)
Epoch: [51][12560/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 2.3436 (2.1793)	Prec@1 42.969 (45.003)	Prec@5 69.531 (75.567)
Epoch: [51][12570/14090]	Time 0.907 (0.768)	Data 0.001 (0.001)	Loss 2.0249 (2.1793)	Prec@1 46.875 (45.003)	Prec@5 75.781 (75.567)
Epoch: [51][12580/14090]	Time 0.749 (0.768)	Data 0.001 (0.001)	Loss 2.1727 (2.1793)	Prec@1 39.844 (45.003)	Prec@5 78.125 (75.567)
Epoch: [51][12590/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 2.0241 (2.1793)	Prec@1 49.219 (45.005)	Prec@5 80.469 (75.566)
Epoch: [51][12600/14090]	Time 0.747 (0.768)	Data 0.001 (0.001)	Loss 2.1367 (2.1793)	Prec@1 46.094 (45.004)	Prec@5 78.906 (75.567)
Epoch: [51][12610/14090]	Time 0.750 (0.768)	Data 0.001 (0.001)	Loss 2.1343 (2.1793)	Prec@1 42.188 (45.002)	Prec@5 78.125 (75.568)
Epoch: [51][12620/14090]	Time 0.740 (0.768)	Data 0.001 (0.001)	Loss 2.3550 (2.1794)	Prec@1 42.188 (45.000)	Prec@5 72.656 (75.566)
Epoch: [51][12630/14090]	Time 0.777 (0.768)	Data 0.001 (0.001)	Loss 2.2748 (2.1794)	Prec@1 41.406 (45.001)	Prec@5 71.875 (75.566)
Epoch: [51][12640/14090]	Time 0.833 (0.768)	Data 0.001 (0.001)	Loss 1.9969 (2.1793)	Prec@1 47.656 (45.001)	Prec@5 81.250 (75.567)
Epoch: [51][12650/14090]	Time 0.742 (0.768)	Data 0.001 (0.001)	Loss 2.2251 (2.1793)	Prec@1 42.188 (45.001)	Prec@5 75.000 (75.566)
Epoch: [51][12660/14090]	Time 0.752 (0.768)	Data 0.001 (0.001)	Loss 2.4950 (2.1794)	Prec@1 38.281 (45.000)	Prec@5 67.969 (75.564)
Epoch: [51][12670/14090]	Time 0.763 (0.768)	Data 0.001 (0.001)	Loss 2.1249 (2.1793)	Prec@1 44.531 (45.000)	Prec@5 75.781 (75.565)
Epoch: [51][12680/14090]	Time 0.751 (0.768)	Data 0.001 (0.001)	Loss 2.3970 (2.1793)	Prec@1 35.156 (44.999)	Prec@5 73.438 (75.565)
Epoch: [51][12690/14090]	Time 0.765 (0.768)	Data 0.001 (0.001)	Loss 2.2852 (2.1793)	Prec@1 44.531 (44.998)	Prec@5 75.000 (75.565)
Epoch: [51][12700/14090]	Time 0.718 (0.768)	Data 0.001 (0.001)	Loss 2.2172 (2.1794)	Prec@1 39.844 (44.997)	Prec@5 71.875 (75.564)
Epoch: [51][12710/14090]	Time 0.884 (0.768)	Data 0.001 (0.001)	Loss 1.9805 (2.1794)	Prec@1 44.531 (44.998)	Prec@5 78.125 (75.564)
Epoch: [51][12720/14090]	Time 0.775 (0.768)	Data 0.001 (0.001)	Loss 1.9818 (2.1794)	Prec@1 46.094 (44.996)	Prec@5 75.781 (75.563)
Epoch: [51][12730/14090]	Time 0.740 (0.768)	Data 0.001 (0.001)	Loss 2.5811 (2.1794)	Prec@1 41.406 (44.996)	Prec@5 69.531 (75.562)
Epoch: [51][12740/14090]	Time 0.725 (0.768)	Data 0.001 (0.001)	Loss 2.0425 (2.1794)	Prec@1 48.438 (44.997)	Prec@5 82.031 (75.564)
Epoch: [51][12750/14090]	Time 0.760 (0.768)	Data 0.001 (0.001)	Loss 2.2479 (2.1794)	Prec@1 46.875 (44.997)	Prec@5 76.562 (75.564)
Epoch: [51][12760/14090]	Time 0.757 (0.768)	Data 0.001 (0.001)	Loss 2.2473 (2.1794)	Prec@1 38.281 (44.997)	Prec@5 75.781 (75.563)
Epoch: [51][12770/14090]	Time 0.732 (0.768)	Data 0.001 (0.001)	Loss 2.0713 (2.1794)	Prec@1 50.000 (44.998)	Prec@5 73.438 (75.563)
Epoch: [51][12780/14090]	Time 0.833 (0.768)	Data 0.001 (0.001)	Loss 2.6442 (2.1795)	Prec@1 40.625 (44.997)	Prec@5 69.531 (75.561)
Epoch: [51][12790/14090]	Time 0.754 (0.768)	Data 0.001 (0.001)	Loss 2.2570 (2.1795)	Prec@1 46.094 (44.997)	Prec@5 72.656 (75.562)
Epoch: [51][12800/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 2.2443 (2.1795)	Prec@1 41.406 (44.996)	Prec@5 71.094 (75.561)
Epoch: [51][12810/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 2.1596 (2.1795)	Prec@1 46.094 (44.996)	Prec@5 80.469 (75.562)
Epoch: [51][12820/14090]	Time 0.728 (0.768)	Data 0.001 (0.001)	Loss 2.1451 (2.1795)	Prec@1 48.438 (44.997)	Prec@5 71.875 (75.561)
Epoch: [51][12830/14090]	Time 0.773 (0.768)	Data 0.001 (0.001)	Loss 2.1310 (2.1795)	Prec@1 45.312 (44.997)	Prec@5 78.125 (75.561)
Epoch: [51][12840/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 2.1076 (2.1796)	Prec@1 46.094 (44.996)	Prec@5 78.906 (75.560)
Epoch: [51][12850/14090]	Time 0.871 (0.768)	Data 0.001 (0.001)	Loss 2.0713 (2.1796)	Prec@1 43.750 (44.994)	Prec@5 81.250 (75.559)
Epoch: [51][12860/14090]	Time 0.735 (0.768)	Data 0.001 (0.001)	Loss 2.1886 (2.1797)	Prec@1 46.094 (44.994)	Prec@5 75.781 (75.559)
Epoch: [51][12870/14090]	Time 0.801 (0.768)	Data 0.001 (0.001)	Loss 2.3594 (2.1796)	Prec@1 46.094 (44.994)	Prec@5 71.875 (75.558)
Epoch: [51][12880/14090]	Time 0.723 (0.768)	Data 0.001 (0.001)	Loss 2.2783 (2.1796)	Prec@1 40.625 (44.994)	Prec@5 79.688 (75.558)
Epoch: [51][12890/14090]	Time 0.741 (0.768)	Data 0.001 (0.001)	Loss 2.0780 (2.1797)	Prec@1 46.094 (44.994)	Prec@5 80.469 (75.557)
Epoch: [51][12900/14090]	Time 0.768 (0.768)	Data 0.001 (0.001)	Loss 2.1260 (2.1797)	Prec@1 46.875 (44.993)	Prec@5 78.125 (75.557)
Epoch: [51][12910/14090]	Time 0.741 (0.768)	Data 0.001 (0.001)	Loss 2.3310 (2.1797)	Prec@1 42.188 (44.994)	Prec@5 71.875 (75.556)
Epoch: [51][12920/14090]	Time 0.864 (0.768)	Data 0.001 (0.001)	Loss 2.3229 (2.1798)	Prec@1 43.750 (44.993)	Prec@5 72.656 (75.556)
Epoch: [51][12930/14090]	Time 0.732 (0.768)	Data 0.001 (0.001)	Loss 2.4161 (2.1799)	Prec@1 39.062 (44.990)	Prec@5 71.875 (75.554)
Epoch: [51][12940/14090]	Time 0.755 (0.768)	Data 0.001 (0.001)	Loss 1.9031 (2.1799)	Prec@1 49.219 (44.991)	Prec@5 78.906 (75.554)
Epoch: [51][12950/14090]	Time 0.772 (0.768)	Data 0.001 (0.001)	Loss 2.0402 (2.1799)	Prec@1 51.562 (44.991)	Prec@5 74.219 (75.553)
Epoch: [51][12960/14090]	Time 0.729 (0.768)	Data 0.001 (0.001)	Loss 1.9786 (2.1800)	Prec@1 46.875 (44.991)	Prec@5 85.938 (75.552)
Epoch: [51][12970/14090]	Time 0.760 (0.768)	Data 0.001 (0.001)	Loss 2.1531 (2.1800)	Prec@1 46.094 (44.991)	Prec@5 75.781 (75.552)
Epoch: [51][12980/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 1.9736 (2.1800)	Prec@1 50.000 (44.992)	Prec@5 85.938 (75.553)
Epoch: [51][12990/14090]	Time 0.862 (0.768)	Data 0.001 (0.001)	Loss 2.1541 (2.1800)	Prec@1 45.312 (44.991)	Prec@5 75.000 (75.552)
Epoch: [51][13000/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 2.1843 (2.1801)	Prec@1 50.781 (44.990)	Prec@5 74.219 (75.551)
Epoch: [51][13010/14090]	Time 0.745 (0.768)	Data 0.001 (0.001)	Loss 2.3458 (2.1801)	Prec@1 45.312 (44.991)	Prec@5 70.312 (75.551)
Epoch: [51][13020/14090]	Time 0.787 (0.768)	Data 0.001 (0.001)	Loss 2.0812 (2.1801)	Prec@1 48.438 (44.993)	Prec@5 77.344 (75.551)
Epoch: [51][13030/14090]	Time 0.730 (0.768)	Data 0.001 (0.001)	Loss 2.2273 (2.1800)	Prec@1 44.531 (44.994)	Prec@5 71.875 (75.551)
Epoch: [51][13040/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 2.2004 (2.1800)	Prec@1 42.969 (44.995)	Prec@5 74.219 (75.551)
Epoch: [51][13050/14090]	Time 0.754 (0.768)	Data 0.001 (0.001)	Loss 2.3171 (2.1801)	Prec@1 42.188 (44.993)	Prec@5 73.438 (75.551)
Epoch: [51][13060/14090]	Time 0.866 (0.768)	Data 0.001 (0.001)	Loss 1.9138 (2.1801)	Prec@1 53.125 (44.993)	Prec@5 82.031 (75.551)
Epoch: [51][13070/14090]	Time 0.758 (0.768)	Data 0.001 (0.001)	Loss 2.1520 (2.1800)	Prec@1 47.656 (44.994)	Prec@5 73.438 (75.552)
Epoch: [51][13080/14090]	Time 0.743 (0.768)	Data 0.001 (0.001)	Loss 2.0266 (2.1799)	Prec@1 49.219 (44.995)	Prec@5 81.250 (75.555)
Epoch: [51][13090/14090]	Time 0.752 (0.768)	Data 0.001 (0.001)	Loss 2.2969 (2.1800)	Prec@1 42.969 (44.993)	Prec@5 79.688 (75.554)
Epoch: [51][13100/14090]	Time 0.780 (0.768)	Data 0.001 (0.001)	Loss 2.4511 (2.1801)	Prec@1 46.094 (44.992)	Prec@5 71.094 (75.552)
Epoch: [51][13110/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 2.1316 (2.1800)	Prec@1 47.656 (44.992)	Prec@5 77.344 (75.554)
Epoch: [51][13120/14090]	Time 0.774 (0.768)	Data 0.001 (0.001)	Loss 2.2672 (2.1800)	Prec@1 41.406 (44.990)	Prec@5 75.781 (75.555)
Epoch: [51][13130/14090]	Time 0.890 (0.768)	Data 0.001 (0.001)	Loss 1.9751 (2.1801)	Prec@1 49.219 (44.990)	Prec@5 75.781 (75.555)
Epoch: [51][13140/14090]	Time 0.722 (0.768)	Data 0.001 (0.001)	Loss 2.0747 (2.1801)	Prec@1 46.875 (44.990)	Prec@5 76.562 (75.555)
Epoch: [51][13150/14090]	Time 0.775 (0.768)	Data 0.001 (0.001)	Loss 2.3176 (2.1801)	Prec@1 43.750 (44.990)	Prec@5 71.875 (75.555)
Epoch: [51][13160/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 2.1373 (2.1801)	Prec@1 47.656 (44.990)	Prec@5 74.219 (75.555)
Epoch: [51][13170/14090]	Time 0.755 (0.768)	Data 0.001 (0.001)	Loss 2.5021 (2.1801)	Prec@1 42.188 (44.991)	Prec@5 71.875 (75.554)
Epoch: [51][13180/14090]	Time 0.763 (0.768)	Data 0.001 (0.001)	Loss 1.9170 (2.1801)	Prec@1 51.562 (44.992)	Prec@5 78.906 (75.554)
Epoch: [51][13190/14090]	Time 0.727 (0.768)	Data 0.001 (0.001)	Loss 2.3825 (2.1801)	Prec@1 39.844 (44.990)	Prec@5 73.438 (75.554)
Epoch: [51][13200/14090]	Time 0.889 (0.768)	Data 0.001 (0.001)	Loss 2.3556 (2.1802)	Prec@1 44.531 (44.990)	Prec@5 72.656 (75.553)
Epoch: [51][13210/14090]	Time 0.732 (0.768)	Data 0.001 (0.001)	Loss 2.2351 (2.1802)	Prec@1 46.875 (44.990)	Prec@5 72.656 (75.553)
Epoch: [51][13220/14090]	Time 0.734 (0.768)	Data 0.001 (0.001)	Loss 2.2362 (2.1802)	Prec@1 47.656 (44.989)	Prec@5 75.781 (75.553)
Epoch: [51][13230/14090]	Time 0.761 (0.768)	Data 0.001 (0.001)	Loss 2.1963 (2.1802)	Prec@1 47.656 (44.989)	Prec@5 73.438 (75.551)
Epoch: [51][13240/14090]	Time 0.785 (0.768)	Data 0.001 (0.001)	Loss 2.0140 (2.1802)	Prec@1 50.000 (44.988)	Prec@5 75.000 (75.551)
Epoch: [51][13250/14090]	Time 0.754 (0.768)	Data 0.001 (0.001)	Loss 1.9814 (2.1802)	Prec@1 51.562 (44.990)	Prec@5 75.000 (75.551)
Epoch: [51][13260/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 2.1838 (2.1801)	Prec@1 47.656 (44.992)	Prec@5 75.781 (75.552)
Epoch: [51][13270/14090]	Time 0.866 (0.768)	Data 0.001 (0.001)	Loss 2.3808 (2.1802)	Prec@1 35.156 (44.990)	Prec@5 71.875 (75.551)
Epoch: [51][13280/14090]	Time 0.742 (0.768)	Data 0.001 (0.001)	Loss 2.3334 (2.1802)	Prec@1 43.750 (44.991)	Prec@5 71.094 (75.550)
Epoch: [51][13290/14090]	Time 0.732 (0.768)	Data 0.001 (0.001)	Loss 2.3047 (2.1802)	Prec@1 37.500 (44.991)	Prec@5 76.562 (75.550)
Epoch: [51][13300/14090]	Time 0.735 (0.768)	Data 0.001 (0.001)	Loss 1.9548 (2.1802)	Prec@1 50.781 (44.992)	Prec@5 81.250 (75.550)
Epoch: [51][13310/14090]	Time 0.759 (0.768)	Data 0.001 (0.001)	Loss 2.1372 (2.1802)	Prec@1 46.875 (44.991)	Prec@5 72.656 (75.550)
Epoch: [51][13320/14090]	Time 0.748 (0.768)	Data 0.001 (0.001)	Loss 2.6303 (2.1802)	Prec@1 35.938 (44.989)	Prec@5 66.406 (75.549)
Epoch: [51][13330/14090]	Time 0.725 (0.768)	Data 0.001 (0.001)	Loss 2.2540 (2.1802)	Prec@1 40.625 (44.988)	Prec@5 75.781 (75.550)
Epoch: [51][13340/14090]	Time 0.867 (0.768)	Data 0.001 (0.001)	Loss 2.1376 (2.1802)	Prec@1 39.844 (44.986)	Prec@5 76.562 (75.549)
Epoch: [51][13350/14090]	Time 0.752 (0.768)	Data 0.001 (0.001)	Loss 2.2818 (2.1803)	Prec@1 43.750 (44.984)	Prec@5 73.438 (75.549)
Epoch: [51][13360/14090]	Time 0.754 (0.768)	Data 0.001 (0.001)	Loss 2.2275 (2.1803)	Prec@1 46.094 (44.985)	Prec@5 72.656 (75.549)
Epoch: [51][13370/14090]	Time 0.775 (0.768)	Data 0.001 (0.001)	Loss 2.0857 (2.1803)	Prec@1 47.656 (44.986)	Prec@5 75.781 (75.550)
Epoch: [51][13380/14090]	Time 0.733 (0.768)	Data 0.001 (0.001)	Loss 2.2583 (2.1803)	Prec@1 46.094 (44.985)	Prec@5 72.656 (75.550)
Epoch: [51][13390/14090]	Time 0.772 (0.768)	Data 0.001 (0.001)	Loss 2.1034 (2.1803)	Prec@1 44.531 (44.983)	Prec@5 77.344 (75.550)
Epoch: [51][13400/14090]	Time 0.784 (0.768)	Data 0.001 (0.001)	Loss 2.3608 (2.1804)	Prec@1 46.875 (44.982)	Prec@5 71.875 (75.549)
Epoch: [51][13410/14090]	Time 0.886 (0.768)	Data 0.001 (0.001)	Loss 2.2060 (2.1804)	Prec@1 48.438 (44.983)	Prec@5 75.781 (75.551)
Epoch: [51][13420/14090]	Time 0.733 (0.768)	Data 0.001 (0.001)	Loss 2.1263 (2.1803)	Prec@1 44.531 (44.983)	Prec@5 76.562 (75.552)
Epoch: [51][13430/14090]	Time 0.746 (0.768)	Data 0.001 (0.001)	Loss 2.2250 (2.1804)	Prec@1 47.656 (44.983)	Prec@5 75.781 (75.551)
Epoch: [51][13440/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 2.2562 (2.1805)	Prec@1 43.750 (44.983)	Prec@5 72.656 (75.549)
Epoch: [51][13450/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 2.1580 (2.1805)	Prec@1 46.094 (44.981)	Prec@5 76.562 (75.548)
Epoch: [51][13460/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 2.3106 (2.1805)	Prec@1 44.531 (44.981)	Prec@5 71.875 (75.547)
Epoch: [51][13470/14090]	Time 0.781 (0.768)	Data 0.001 (0.001)	Loss 2.2185 (2.1806)	Prec@1 46.875 (44.980)	Prec@5 78.125 (75.546)
Epoch: [51][13480/14090]	Time 0.851 (0.768)	Data 0.001 (0.001)	Loss 2.0926 (2.1806)	Prec@1 54.688 (44.979)	Prec@5 77.344 (75.546)
Epoch: [51][13490/14090]	Time 0.735 (0.768)	Data 0.001 (0.001)	Loss 1.9867 (2.1806)	Prec@1 49.219 (44.980)	Prec@5 82.812 (75.549)
Epoch: [51][13500/14090]	Time 0.781 (0.768)	Data 0.001 (0.001)	Loss 2.0348 (2.1806)	Prec@1 53.906 (44.980)	Prec@5 78.906 (75.547)
Epoch: [51][13510/14090]	Time 0.733 (0.768)	Data 0.001 (0.001)	Loss 2.0639 (2.1806)	Prec@1 51.562 (44.982)	Prec@5 72.656 (75.547)
Epoch: [51][13520/14090]	Time 0.777 (0.768)	Data 0.001 (0.001)	Loss 2.3483 (2.1806)	Prec@1 40.625 (44.982)	Prec@5 68.750 (75.548)
Epoch: [51][13530/14090]	Time 0.750 (0.768)	Data 0.001 (0.001)	Loss 2.1278 (2.1806)	Prec@1 41.406 (44.984)	Prec@5 78.125 (75.549)
Epoch: [51][13540/14090]	Time 0.764 (0.768)	Data 0.001 (0.001)	Loss 2.2699 (2.1806)	Prec@1 42.188 (44.983)	Prec@5 75.000 (75.549)
Epoch: [51][13550/14090]	Time 0.869 (0.768)	Data 0.001 (0.001)	Loss 2.0150 (2.1806)	Prec@1 48.438 (44.982)	Prec@5 82.031 (75.548)
Epoch: [51][13560/14090]	Time 0.718 (0.768)	Data 0.001 (0.001)	Loss 2.0446 (2.1807)	Prec@1 46.875 (44.982)	Prec@5 79.688 (75.547)
Epoch: [51][13570/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 1.9295 (2.1806)	Prec@1 53.125 (44.984)	Prec@5 78.906 (75.548)
Epoch: [51][13580/14090]	Time 0.767 (0.768)	Data 0.001 (0.001)	Loss 1.9649 (2.1806)	Prec@1 50.000 (44.984)	Prec@5 78.125 (75.548)
Epoch: [51][13590/14090]	Time 0.726 (0.768)	Data 0.001 (0.001)	Loss 1.9846 (2.1806)	Prec@1 43.750 (44.984)	Prec@5 77.344 (75.548)
Epoch: [51][13600/14090]	Time 0.759 (0.768)	Data 0.001 (0.001)	Loss 2.3609 (2.1806)	Prec@1 39.062 (44.982)	Prec@5 71.875 (75.548)
Epoch: [51][13610/14090]	Time 0.732 (0.768)	Data 0.001 (0.001)	Loss 2.2052 (2.1807)	Prec@1 42.188 (44.981)	Prec@5 74.219 (75.546)
Epoch: [51][13620/14090]	Time 0.864 (0.768)	Data 0.001 (0.001)	Loss 2.0953 (2.1807)	Prec@1 46.875 (44.981)	Prec@5 76.562 (75.546)
Epoch: [51][13630/14090]	Time 0.756 (0.768)	Data 0.001 (0.001)	Loss 1.8917 (2.1806)	Prec@1 51.562 (44.981)	Prec@5 78.125 (75.546)
Epoch: [51][13640/14090]	Time 0.733 (0.768)	Data 0.001 (0.001)	Loss 1.8159 (2.1806)	Prec@1 50.000 (44.981)	Prec@5 78.906 (75.545)
Epoch: [51][13650/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 1.9035 (2.1805)	Prec@1 53.125 (44.982)	Prec@5 82.812 (75.546)
Epoch: [51][13660/14090]	Time 0.748 (0.768)	Data 0.001 (0.001)	Loss 2.1700 (2.1805)	Prec@1 50.781 (44.982)	Prec@5 77.344 (75.546)
Epoch: [51][13670/14090]	Time 0.756 (0.768)	Data 0.001 (0.001)	Loss 2.7787 (2.1806)	Prec@1 38.281 (44.980)	Prec@5 65.625 (75.545)
Epoch: [51][13680/14090]	Time 0.740 (0.768)	Data 0.001 (0.001)	Loss 2.2246 (2.1806)	Prec@1 44.531 (44.979)	Prec@5 76.562 (75.546)
Epoch: [51][13690/14090]	Time 0.836 (0.768)	Data 0.001 (0.001)	Loss 2.1456 (2.1806)	Prec@1 47.656 (44.980)	Prec@5 81.250 (75.547)
Epoch: [51][13700/14090]	Time 0.734 (0.768)	Data 0.001 (0.001)	Loss 2.1124 (2.1806)	Prec@1 46.094 (44.980)	Prec@5 77.344 (75.547)
Epoch: [51][13710/14090]	Time 0.791 (0.768)	Data 0.001 (0.001)	Loss 1.8843 (2.1805)	Prec@1 53.906 (44.981)	Prec@5 81.250 (75.548)
Epoch: [51][13720/14090]	Time 0.740 (0.768)	Data 0.001 (0.001)	Loss 2.2126 (2.1805)	Prec@1 42.188 (44.980)	Prec@5 77.344 (75.549)
Epoch: [51][13730/14090]	Time 0.765 (0.768)	Data 0.001 (0.001)	Loss 2.0048 (2.1805)	Prec@1 44.531 (44.981)	Prec@5 81.250 (75.550)
Epoch: [51][13740/14090]	Time 0.748 (0.768)	Data 0.001 (0.001)	Loss 2.3499 (2.1805)	Prec@1 46.094 (44.982)	Prec@5 73.438 (75.549)
Epoch: [51][13750/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 2.1296 (2.1805)	Prec@1 50.781 (44.982)	Prec@5 78.125 (75.549)
Epoch: [51][13760/14090]	Time 0.905 (0.768)	Data 0.001 (0.001)	Loss 1.9361 (2.1805)	Prec@1 41.406 (44.982)	Prec@5 81.250 (75.550)
Epoch: [51][13770/14090]	Time 0.762 (0.768)	Data 0.001 (0.001)	Loss 2.2194 (2.1804)	Prec@1 43.750 (44.984)	Prec@5 72.656 (75.551)
Epoch: [51][13780/14090]	Time 0.735 (0.768)	Data 0.001 (0.001)	Loss 2.3660 (2.1804)	Prec@1 44.531 (44.984)	Prec@5 71.094 (75.552)
Epoch: [51][13790/14090]	Time 0.760 (0.768)	Data 0.001 (0.001)	Loss 2.3327 (2.1804)	Prec@1 37.500 (44.984)	Prec@5 72.656 (75.552)
Epoch: [51][13800/14090]	Time 0.728 (0.768)	Data 0.001 (0.001)	Loss 2.4374 (2.1804)	Prec@1 42.188 (44.984)	Prec@5 74.219 (75.552)
Epoch: [51][13810/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 2.0984 (2.1804)	Prec@1 50.000 (44.984)	Prec@5 77.344 (75.552)
Epoch: [51][13820/14090]	Time 0.749 (0.768)	Data 0.001 (0.001)	Loss 2.2658 (2.1805)	Prec@1 35.938 (44.984)	Prec@5 77.344 (75.552)
Epoch: [51][13830/14090]	Time 0.879 (0.768)	Data 0.001 (0.001)	Loss 2.4535 (2.1805)	Prec@1 42.188 (44.985)	Prec@5 74.219 (75.551)
Epoch: [51][13840/14090]	Time 0.723 (0.768)	Data 0.001 (0.001)	Loss 2.2519 (2.1805)	Prec@1 43.750 (44.985)	Prec@5 75.000 (75.551)
Epoch: [51][13850/14090]	Time 0.780 (0.768)	Data 0.001 (0.001)	Loss 2.0618 (2.1805)	Prec@1 46.875 (44.984)	Prec@5 74.219 (75.551)
Epoch: [51][13860/14090]	Time 0.781 (0.768)	Data 0.001 (0.001)	Loss 2.3589 (2.1805)	Prec@1 41.406 (44.983)	Prec@5 72.656 (75.550)
Epoch: [51][13870/14090]	Time 0.739 (0.768)	Data 0.003 (0.001)	Loss 2.2669 (2.1806)	Prec@1 42.188 (44.982)	Prec@5 75.000 (75.550)
Epoch: [51][13880/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 2.4531 (2.1806)	Prec@1 39.844 (44.981)	Prec@5 75.781 (75.550)
Epoch: [51][13890/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 2.2702 (2.1807)	Prec@1 40.625 (44.980)	Prec@5 71.875 (75.548)
Epoch: [51][13900/14090]	Time 0.872 (0.768)	Data 0.001 (0.001)	Loss 2.1186 (2.1808)	Prec@1 46.875 (44.978)	Prec@5 75.781 (75.548)
Epoch: [51][13910/14090]	Time 0.745 (0.768)	Data 0.001 (0.001)	Loss 2.0061 (2.1808)	Prec@1 48.438 (44.978)	Prec@5 80.469 (75.547)
Epoch: [51][13920/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 2.2992 (2.1808)	Prec@1 43.750 (44.980)	Prec@5 71.094 (75.546)
Epoch: [51][13930/14090]	Time 0.755 (0.768)	Data 0.001 (0.001)	Loss 2.0570 (2.1807)	Prec@1 47.656 (44.981)	Prec@5 74.219 (75.548)
Epoch: [51][13940/14090]	Time 0.725 (0.768)	Data 0.001 (0.001)	Loss 2.1089 (2.1807)	Prec@1 46.094 (44.982)	Prec@5 79.688 (75.546)
Epoch: [51][13950/14090]	Time 0.740 (0.768)	Data 0.001 (0.001)	Loss 2.3856 (2.1808)	Prec@1 40.625 (44.981)	Prec@5 70.312 (75.545)
Epoch: [51][13960/14090]	Time 0.782 (0.768)	Data 0.001 (0.001)	Loss 2.2873 (2.1808)	Prec@1 38.281 (44.980)	Prec@5 72.656 (75.544)
Epoch: [51][13970/14090]	Time 0.868 (0.768)	Data 0.001 (0.001)	Loss 2.2946 (2.1808)	Prec@1 35.938 (44.980)	Prec@5 73.438 (75.544)
Epoch: [51][13980/14090]	Time 0.777 (0.768)	Data 0.001 (0.001)	Loss 1.7303 (2.1808)	Prec@1 56.250 (44.981)	Prec@5 83.594 (75.544)
Epoch: [51][13990/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 2.4606 (2.1808)	Prec@1 39.062 (44.980)	Prec@5 69.531 (75.545)
Epoch: [51][14000/14090]	Time 0.759 (0.768)	Data 0.001 (0.001)	Loss 2.1983 (2.1808)	Prec@1 42.969 (44.980)	Prec@5 72.656 (75.545)
Epoch: [51][14010/14090]	Time 0.740 (0.768)	Data 0.001 (0.001)	Loss 2.1275 (2.1808)	Prec@1 46.094 (44.979)	Prec@5 74.219 (75.545)
Epoch: [51][14020/14090]	Time 0.763 (0.768)	Data 0.001 (0.001)	Loss 2.2512 (2.1808)	Prec@1 42.969 (44.980)	Prec@5 78.125 (75.545)
Epoch: [51][14030/14090]	Time 0.745 (0.768)	Data 0.001 (0.001)	Loss 2.2646 (2.1808)	Prec@1 43.750 (44.981)	Prec@5 78.125 (75.545)
Epoch: [51][14040/14090]	Time 0.896 (0.768)	Data 0.001 (0.001)	Loss 2.1718 (2.1808)	Prec@1 48.438 (44.981)	Prec@5 74.219 (75.546)
Epoch: [51][14050/14090]	Time 0.754 (0.768)	Data 0.001 (0.001)	Loss 2.1295 (2.1808)	Prec@1 42.969 (44.979)	Prec@5 75.000 (75.546)
Epoch: [51][14060/14090]	Time 0.759 (0.768)	Data 0.001 (0.001)	Loss 2.1024 (2.1808)	Prec@1 42.188 (44.980)	Prec@5 78.125 (75.547)
Epoch: [51][14070/14090]	Time 0.752 (0.768)	Data 0.001 (0.001)	Loss 2.2303 (2.1807)	Prec@1 48.438 (44.980)	Prec@5 73.438 (75.547)
Epoch: [51][14080/14090]	Time 0.741 (0.768)	Data 0.000 (0.001)	Loss 2.3744 (2.1807)	Prec@1 45.312 (44.981)	Prec@5 73.438 (75.546)
Test: [0/286]	Time 4.497 (4.497)	Loss 1.3536 (1.3536)	Prec@1 57.031 (57.031)	Prec@5 94.531 (94.531)
Test: [10/286]	Time 0.237 (0.798)	Loss 2.2345 (1.9563)	Prec@1 41.406 (50.355)	Prec@5 84.375 (82.670)
Test: [20/286]	Time 0.228 (0.611)	Loss 1.2409 (1.8658)	Prec@1 66.406 (51.414)	Prec@5 92.969 (83.743)
Test: [30/286]	Time 0.228 (0.543)	Loss 1.6391 (1.7615)	Prec@1 57.812 (54.007)	Prec@5 85.156 (84.274)
Test: [40/286]	Time 1.927 (0.550)	Loss 1.7304 (1.7787)	Prec@1 47.656 (53.049)	Prec@5 85.156 (84.013)
Test: [50/286]	Time 0.269 (0.522)	Loss 0.5444 (1.7684)	Prec@1 89.844 (53.385)	Prec@5 94.531 (84.176)
Test: [60/286]	Time 0.258 (0.503)	Loss 2.8746 (1.8247)	Prec@1 33.594 (52.433)	Prec@5 67.188 (82.620)
Test: [70/286]	Time 0.232 (0.490)	Loss 1.1130 (1.8046)	Prec@1 74.219 (52.795)	Prec@5 92.188 (82.923)
Test: [80/286]	Time 1.826 (0.498)	Loss 2.3429 (1.8558)	Prec@1 36.719 (51.312)	Prec@5 74.219 (82.089)
Test: [90/286]	Time 0.239 (0.489)	Loss 2.0939 (1.8598)	Prec@1 40.625 (51.168)	Prec@5 84.375 (82.083)
Test: [100/286]	Time 0.255 (0.480)	Loss 2.3851 (1.8663)	Prec@1 31.250 (50.890)	Prec@5 76.562 (82.232)
Test: [110/286]	Time 0.238 (0.472)	Loss 2.6685 (1.8830)	Prec@1 35.938 (50.521)	Prec@5 67.969 (82.130)
Test: [120/286]	Time 1.619 (0.477)	Loss 1.8131 (1.8660)	Prec@1 59.375 (51.111)	Prec@5 78.906 (82.354)
Test: [130/286]	Time 0.289 (0.471)	Loss 1.0305 (1.8539)	Prec@1 67.188 (51.515)	Prec@5 92.969 (82.419)
Test: [140/286]	Time 0.402 (0.468)	Loss 2.4675 (1.8479)	Prec@1 45.312 (51.679)	Prec@5 66.406 (82.408)
Test: [150/286]	Time 0.239 (0.463)	Loss 2.8169 (1.8577)	Prec@1 27.344 (51.350)	Prec@5 68.750 (82.347)
Test: [160/286]	Time 1.200 (0.466)	Loss 2.6134 (1.8614)	Prec@1 29.688 (51.325)	Prec@5 70.312 (82.269)
Test: [170/286]	Time 0.230 (0.465)	Loss 1.9403 (1.8651)	Prec@1 49.219 (51.128)	Prec@5 83.594 (82.182)
Test: [180/286]	Time 0.337 (0.462)	Loss 1.6649 (1.8757)	Prec@1 61.719 (50.816)	Prec@5 80.469 (82.118)
Test: [190/286]	Time 0.336 (0.460)	Loss 2.9846 (1.8935)	Prec@1 18.750 (50.405)	Prec@5 71.875 (81.933)
Test: [200/286]	Time 1.232 (0.462)	Loss 1.9067 (1.8852)	Prec@1 56.250 (50.661)	Prec@5 86.719 (82.016)
Test: [210/286]	Time 0.289 (0.460)	Loss 2.0823 (1.8977)	Prec@1 45.312 (50.344)	Prec@5 80.469 (81.805)
Test: [220/286]	Time 0.282 (0.459)	Loss 3.3765 (1.9119)	Prec@1 11.719 (50.099)	Prec@5 56.250 (81.526)
Test: [230/286]	Time 0.232 (0.456)	Loss 1.2533 (1.9117)	Prec@1 66.406 (50.108)	Prec@5 88.281 (81.504)
Test: [240/286]	Time 0.640 (0.458)	Loss 2.1545 (1.9114)	Prec@1 47.656 (50.156)	Prec@5 79.688 (81.542)
Test: [250/286]	Time 0.254 (0.457)	Loss 1.8688 (1.9034)	Prec@1 48.438 (50.209)	Prec@5 84.375 (81.745)
Test: [260/286]	Time 0.357 (0.456)	Loss 1.6983 (1.8933)	Prec@1 57.031 (50.452)	Prec@5 85.938 (81.926)
Test: [270/286]	Time 0.238 (0.455)	Loss 1.3299 (1.8922)	Prec@1 70.312 (50.533)	Prec@5 92.188 (82.011)
Test: [280/286]	Time 0.280 (0.456)	Loss 1.8131 (1.8751)	Prec@1 57.031 (51.045)	Prec@5 88.281 (82.215)
 * Prec@1 51.202 Prec@5 82.244
Epoch: [52][0/14090]	Time 5.914 (5.914)	Data 5.161 (5.161)	Loss 2.1433 (2.1433)	Prec@1 50.000 (50.000)	Prec@5 71.094 (71.094)
Epoch: [52][10/14090]	Time 0.821 (1.210)	Data 0.001 (0.470)	Loss 1.9540 (2.1328)	Prec@1 46.875 (46.165)	Prec@5 79.688 (76.065)
Epoch: [52][20/14090]	Time 0.720 (0.984)	Data 0.001 (0.247)	Loss 2.3539 (2.1260)	Prec@1 42.969 (45.945)	Prec@5 68.750 (75.893)
Epoch: [52][30/14090]	Time 0.759 (0.906)	Data 0.001 (0.167)	Loss 1.9731 (2.1271)	Prec@1 50.781 (46.195)	Prec@5 78.906 (75.731)
Epoch: [52][40/14090]	Time 0.751 (0.873)	Data 0.001 (0.127)	Loss 2.1341 (2.1137)	Prec@1 50.000 (46.532)	Prec@5 76.562 (76.143)
Epoch: [52][50/14090]	Time 0.727 (0.848)	Data 0.001 (0.102)	Loss 2.1299 (2.1359)	Prec@1 46.875 (46.078)	Prec@5 74.219 (75.873)
Epoch: [52][60/14090]	Time 0.761 (0.836)	Data 0.001 (0.085)	Loss 2.0683 (2.1403)	Prec@1 48.438 (46.030)	Prec@5 78.125 (75.909)
Epoch: [52][70/14090]	Time 0.755 (0.823)	Data 0.001 (0.074)	Loss 1.9483 (2.1444)	Prec@1 50.781 (46.017)	Prec@5 81.250 (76.089)
Epoch: [52][80/14090]	Time 0.811 (0.815)	Data 0.001 (0.065)	Loss 2.2358 (2.1437)	Prec@1 39.062 (45.920)	Prec@5 78.906 (76.090)
Epoch: [52][90/14090]	Time 0.758 (0.809)	Data 0.001 (0.058)	Loss 1.8493 (2.1351)	Prec@1 54.688 (46.386)	Prec@5 79.688 (76.090)
Epoch: [52][100/14090]	Time 0.755 (0.804)	Data 0.001 (0.052)	Loss 2.0617 (2.1371)	Prec@1 48.438 (46.442)	Prec@5 77.344 (76.052)
Epoch: [52][110/14090]	Time 0.778 (0.800)	Data 0.001 (0.047)	Loss 2.1220 (2.1322)	Prec@1 47.656 (46.586)	Prec@5 78.125 (76.239)
Epoch: [52][120/14090]	Time 0.726 (0.797)	Data 0.001 (0.044)	Loss 2.5192 (2.1349)	Prec@1 43.750 (46.552)	Prec@5 68.750 (76.149)
Epoch: [52][130/14090]	Time 0.782 (0.795)	Data 0.001 (0.040)	Loss 2.1102 (2.1314)	Prec@1 46.875 (46.565)	Prec@5 74.219 (76.151)
Epoch: [52][140/14090]	Time 0.725 (0.792)	Data 0.001 (0.038)	Loss 2.3460 (2.1308)	Prec@1 39.062 (46.543)	Prec@5 71.875 (76.208)
Epoch: [52][150/14090]	Time 0.777 (0.791)	Data 0.001 (0.035)	Loss 2.2667 (2.1384)	Prec@1 48.438 (46.378)	Prec@5 76.562 (76.164)
Epoch: [52][160/14090]	Time 0.775 (0.790)	Data 0.001 (0.033)	Loss 2.0675 (2.1364)	Prec@1 42.969 (46.312)	Prec@5 78.906 (76.155)
Epoch: [52][170/14090]	Time 0.763 (0.788)	Data 0.001 (0.031)	Loss 2.2797 (2.1408)	Prec@1 46.094 (46.171)	Prec@5 76.562 (76.096)
Epoch: [52][180/14090]	Time 0.739 (0.787)	Data 0.001 (0.029)	Loss 2.4376 (2.1427)	Prec@1 44.531 (46.163)	Prec@5 68.750 (76.105)
Epoch: [52][190/14090]	Time 0.740 (0.786)	Data 0.001 (0.028)	Loss 2.1361 (2.1449)	Prec@1 45.312 (46.090)	Prec@5 75.781 (76.055)
Epoch: [52][200/14090]	Time 0.746 (0.787)	Data 0.001 (0.027)	Loss 2.2880 (2.1471)	Prec@1 44.531 (46.012)	Prec@5 73.438 (76.042)
Epoch: [52][210/14090]	Time 0.741 (0.785)	Data 0.003 (0.025)	Loss 1.9753 (2.1468)	Prec@1 49.219 (46.023)	Prec@5 80.469 (76.074)
Epoch: [52][220/14090]	Time 0.864 (0.784)	Data 0.001 (0.024)	Loss 2.1183 (2.1471)	Prec@1 46.094 (46.034)	Prec@5 75.000 (76.039)
Epoch: [52][230/14090]	Time 0.729 (0.783)	Data 0.001 (0.023)	Loss 2.3729 (2.1506)	Prec@1 43.750 (45.945)	Prec@5 74.219 (75.937)
Epoch: [52][240/14090]	Time 0.761 (0.782)	Data 0.001 (0.022)	Loss 1.8791 (2.1487)	Prec@1 52.344 (45.948)	Prec@5 80.469 (75.973)
Epoch: [52][250/14090]	Time 0.731 (0.782)	Data 0.001 (0.021)	Loss 2.0213 (2.1489)	Prec@1 48.438 (45.941)	Prec@5 80.469 (75.952)
Epoch: [52][260/14090]	Time 0.732 (0.780)	Data 0.001 (0.021)	Loss 1.9877 (2.1486)	Prec@1 46.094 (45.884)	Prec@5 79.688 (76.030)
Epoch: [52][270/14090]	Time 0.724 (0.779)	Data 0.001 (0.020)	Loss 2.2358 (2.1453)	Prec@1 46.875 (45.990)	Prec@5 72.656 (76.052)
Epoch: [52][280/14090]	Time 0.746 (0.779)	Data 0.001 (0.019)	Loss 1.9970 (2.1439)	Prec@1 48.438 (46.005)	Prec@5 81.250 (76.062)
Epoch: [52][290/14090]	Time 0.795 (0.779)	Data 0.001 (0.019)	Loss 1.9992 (2.1384)	Prec@1 50.781 (46.118)	Prec@5 77.344 (76.181)
Epoch: [52][300/14090]	Time 0.770 (0.778)	Data 0.001 (0.018)	Loss 1.7974 (2.1389)	Prec@1 53.125 (46.099)	Prec@5 81.250 (76.163)
Epoch: [52][310/14090]	Time 0.741 (0.777)	Data 0.001 (0.017)	Loss 2.0185 (2.1380)	Prec@1 54.688 (46.136)	Prec@5 76.562 (76.198)
Epoch: [52][320/14090]	Time 0.761 (0.777)	Data 0.001 (0.017)	Loss 2.1417 (2.1383)	Prec@1 51.562 (46.096)	Prec@5 75.781 (76.232)
Epoch: [52][330/14090]	Time 0.756 (0.777)	Data 0.001 (0.016)	Loss 2.2734 (2.1399)	Prec@1 44.531 (46.042)	Prec@5 75.000 (76.216)
Epoch: [52][340/14090]	Time 0.722 (0.777)	Data 0.001 (0.016)	Loss 1.9764 (2.1407)	Prec@1 51.562 (46.062)	Prec@5 80.469 (76.212)
Epoch: [52][350/14090]	Time 0.763 (0.776)	Data 0.001 (0.016)	Loss 2.1051 (2.1398)	Prec@1 46.875 (46.080)	Prec@5 72.656 (76.220)
Epoch: [52][360/14090]	Time 0.890 (0.776)	Data 0.001 (0.015)	Loss 2.1379 (2.1383)	Prec@1 50.000 (46.126)	Prec@5 72.656 (76.218)
Epoch: [52][370/14090]	Time 0.735 (0.776)	Data 0.001 (0.015)	Loss 2.3191 (2.1414)	Prec@1 39.062 (46.024)	Prec@5 73.438 (76.179)
Epoch: [52][380/14090]	Time 0.740 (0.775)	Data 0.001 (0.014)	Loss 2.0500 (2.1437)	Prec@1 39.062 (45.952)	Prec@5 84.375 (76.165)
Epoch: [52][390/14090]	Time 0.734 (0.775)	Data 0.001 (0.014)	Loss 2.1097 (2.1456)	Prec@1 49.219 (45.928)	Prec@5 76.562 (76.155)
Epoch: [52][400/14090]	Time 0.732 (0.774)	Data 0.001 (0.014)	Loss 2.2702 (2.1477)	Prec@1 48.438 (45.879)	Prec@5 72.656 (76.118)
Epoch: [52][410/14090]	Time 0.759 (0.774)	Data 0.001 (0.013)	Loss 1.9348 (2.1483)	Prec@1 54.688 (45.866)	Prec@5 79.688 (76.122)
Epoch: [52][420/14090]	Time 0.772 (0.774)	Data 0.001 (0.013)	Loss 2.2176 (2.1467)	Prec@1 39.062 (45.875)	Prec@5 75.000 (76.149)
Epoch: [52][430/14090]	Time 0.915 (0.774)	Data 0.001 (0.013)	Loss 2.3048 (2.1457)	Prec@1 42.969 (45.878)	Prec@5 73.438 (76.167)
Epoch: [52][440/14090]	Time 0.731 (0.774)	Data 0.001 (0.013)	Loss 2.3504 (2.1461)	Prec@1 40.625 (45.849)	Prec@5 72.656 (76.159)
Epoch: [52][450/14090]	Time 0.740 (0.773)	Data 0.001 (0.012)	Loss 2.3902 (2.1447)	Prec@1 44.531 (45.860)	Prec@5 69.531 (76.192)
Epoch: [52][460/14090]	Time 0.736 (0.774)	Data 0.001 (0.012)	Loss 2.3866 (2.1460)	Prec@1 42.188 (45.850)	Prec@5 73.438 (76.171)
Epoch: [52][470/14090]	Time 0.748 (0.773)	Data 0.001 (0.012)	Loss 2.2135 (2.1472)	Prec@1 46.094 (45.845)	Prec@5 75.781 (76.156)
Epoch: [52][480/14090]	Time 0.734 (0.774)	Data 0.001 (0.012)	Loss 2.2777 (2.1473)	Prec@1 46.875 (45.870)	Prec@5 74.219 (76.150)
Epoch: [52][490/14090]	Time 0.759 (0.773)	Data 0.001 (0.011)	Loss 2.0848 (2.1476)	Prec@1 46.094 (45.841)	Prec@5 76.562 (76.134)
Epoch: [52][500/14090]	Time 0.991 (0.773)	Data 0.001 (0.011)	Loss 2.1667 (2.1474)	Prec@1 45.312 (45.869)	Prec@5 75.781 (76.152)
Epoch: [52][510/14090]	Time 0.777 (0.773)	Data 0.001 (0.011)	Loss 1.9464 (2.1476)	Prec@1 53.125 (45.864)	Prec@5 80.469 (76.154)
Epoch: [52][520/14090]	Time 0.729 (0.773)	Data 0.001 (0.011)	Loss 2.3361 (2.1488)	Prec@1 44.531 (45.837)	Prec@5 72.656 (76.138)
Epoch: [52][530/14090]	Time 0.737 (0.773)	Data 0.001 (0.011)	Loss 2.2443 (2.1493)	Prec@1 42.188 (45.838)	Prec@5 74.219 (76.120)
Epoch: [52][540/14090]	Time 0.742 (0.772)	Data 0.001 (0.010)	Loss 2.0601 (2.1488)	Prec@1 48.438 (45.850)	Prec@5 82.812 (76.125)
Epoch: [52][550/14090]	Time 0.771 (0.772)	Data 0.001 (0.010)	Loss 2.2087 (2.1477)	Prec@1 45.312 (45.865)	Prec@5 76.562 (76.160)
Epoch: [52][560/14090]	Time 0.731 (0.772)	Data 0.001 (0.010)	Loss 2.2318 (2.1468)	Prec@1 34.375 (45.835)	Prec@5 75.000 (76.163)
Epoch: [52][570/14090]	Time 0.802 (0.772)	Data 0.001 (0.010)	Loss 2.0782 (2.1476)	Prec@1 52.344 (45.854)	Prec@5 76.562 (76.137)
Epoch: [52][580/14090]	Time 0.745 (0.772)	Data 0.001 (0.010)	Loss 2.1636 (2.1479)	Prec@1 46.094 (45.862)	Prec@5 73.438 (76.116)
Epoch: [52][590/14090]	Time 0.789 (0.772)	Data 0.001 (0.010)	Loss 1.8452 (2.1482)	Prec@1 51.562 (45.873)	Prec@5 82.031 (76.113)
Epoch: [52][600/14090]	Time 0.752 (0.772)	Data 0.001 (0.009)	Loss 2.4032 (2.1489)	Prec@1 39.844 (45.844)	Prec@5 71.094 (76.092)
Epoch: [52][610/14090]	Time 0.741 (0.771)	Data 0.001 (0.009)	Loss 2.0576 (2.1494)	Prec@1 45.312 (45.792)	Prec@5 75.781 (76.095)
Epoch: [52][620/14090]	Time 0.730 (0.771)	Data 0.001 (0.009)	Loss 2.0981 (2.1495)	Prec@1 50.781 (45.798)	Prec@5 75.000 (76.083)
Epoch: [52][630/14090]	Time 0.730 (0.771)	Data 0.001 (0.009)	Loss 2.1390 (2.1501)	Prec@1 49.219 (45.800)	Prec@5 78.125 (76.077)
Epoch: [52][640/14090]	Time 0.802 (0.771)	Data 0.001 (0.009)	Loss 2.0429 (2.1486)	Prec@1 49.219 (45.812)	Prec@5 78.906 (76.116)
Epoch: [52][650/14090]	Time 0.735 (0.771)	Data 0.001 (0.009)	Loss 2.0865 (2.1481)	Prec@1 46.094 (45.838)	Prec@5 75.781 (76.108)
Epoch: [52][660/14090]	Time 0.748 (0.771)	Data 0.001 (0.009)	Loss 2.1924 (2.1472)	Prec@1 44.531 (45.846)	Prec@5 75.781 (76.133)
Epoch: [52][670/14090]	Time 0.763 (0.771)	Data 0.001 (0.009)	Loss 1.9793 (2.1454)	Prec@1 45.312 (45.888)	Prec@5 77.344 (76.154)
Epoch: [52][680/14090]	Time 0.737 (0.771)	Data 0.001 (0.008)	Loss 2.3676 (2.1461)	Prec@1 42.969 (45.880)	Prec@5 73.438 (76.148)
Epoch: [52][690/14090]	Time 0.742 (0.771)	Data 0.001 (0.008)	Loss 1.9534 (2.1461)	Prec@1 49.219 (45.872)	Prec@5 82.812 (76.160)
Epoch: [52][700/14090]	Time 0.733 (0.771)	Data 0.001 (0.008)	Loss 2.2939 (2.1474)	Prec@1 40.625 (45.839)	Prec@5 75.000 (76.129)
Epoch: [52][710/14090]	Time 0.774 (0.770)	Data 0.001 (0.008)	Loss 1.9364 (2.1471)	Prec@1 51.562 (45.803)	Prec@5 77.344 (76.127)
Epoch: [52][720/14090]	Time 0.778 (0.770)	Data 0.001 (0.008)	Loss 2.1911 (2.1462)	Prec@1 46.875 (45.817)	Prec@5 73.438 (76.157)
Epoch: [52][730/14090]	Time 0.727 (0.770)	Data 0.001 (0.008)	Loss 2.1524 (2.1458)	Prec@1 46.875 (45.824)	Prec@5 71.875 (76.165)
Epoch: [52][740/14090]	Time 0.756 (0.770)	Data 0.001 (0.008)	Loss 2.4795 (2.1462)	Prec@1 41.406 (45.813)	Prec@5 68.750 (76.165)
Epoch: [52][750/14090]	Time 0.729 (0.770)	Data 0.001 (0.008)	Loss 2.2332 (2.1458)	Prec@1 44.531 (45.831)	Prec@5 73.438 (76.171)
Epoch: [52][760/14090]	Time 0.728 (0.770)	Data 0.001 (0.008)	Loss 2.0172 (2.1468)	Prec@1 50.781 (45.823)	Prec@5 79.688 (76.161)
Epoch: [52][770/14090]	Time 0.727 (0.770)	Data 0.001 (0.008)	Loss 2.1082 (2.1475)	Prec@1 44.531 (45.792)	Prec@5 78.125 (76.155)
Epoch: [52][780/14090]	Time 0.785 (0.770)	Data 0.002 (0.007)	Loss 2.0188 (2.1476)	Prec@1 51.562 (45.809)	Prec@5 81.250 (76.166)
Epoch: [52][790/14090]	Time 0.750 (0.769)	Data 0.001 (0.007)	Loss 2.0638 (2.1474)	Prec@1 46.875 (45.829)	Prec@5 82.031 (76.172)
Epoch: [52][800/14090]	Time 0.744 (0.769)	Data 0.002 (0.007)	Loss 2.2272 (2.1483)	Prec@1 45.312 (45.803)	Prec@5 74.219 (76.175)
Epoch: [52][810/14090]	Time 0.736 (0.769)	Data 0.001 (0.007)	Loss 2.5225 (2.1493)	Prec@1 42.969 (45.783)	Prec@5 68.750 (76.169)
Epoch: [52][820/14090]	Time 0.740 (0.769)	Data 0.001 (0.007)	Loss 2.3541 (2.1498)	Prec@1 42.969 (45.772)	Prec@5 73.438 (76.156)
Epoch: [52][830/14090]	Time 0.746 (0.769)	Data 0.001 (0.007)	Loss 1.9894 (2.1499)	Prec@1 48.438 (45.772)	Prec@5 83.594 (76.166)
Epoch: [52][840/14090]	Time 0.778 (0.769)	Data 0.001 (0.007)	Loss 2.0299 (2.1499)	Prec@1 49.219 (45.768)	Prec@5 79.688 (76.178)
Epoch: [52][850/14090]	Time 0.875 (0.769)	Data 0.001 (0.007)	Loss 2.1766 (2.1500)	Prec@1 44.531 (45.763)	Prec@5 75.000 (76.185)
Epoch: [52][860/14090]	Time 0.750 (0.769)	Data 0.001 (0.007)	Loss 2.1982 (2.1504)	Prec@1 43.750 (45.746)	Prec@5 78.125 (76.180)
Epoch: [52][870/14090]	Time 0.756 (0.769)	Data 0.001 (0.007)	Loss 2.0695 (2.1511)	Prec@1 49.219 (45.730)	Prec@5 78.906 (76.180)
Epoch: [52][880/14090]	Time 0.771 (0.769)	Data 0.001 (0.007)	Loss 1.9890 (2.1505)	Prec@1 46.094 (45.742)	Prec@5 77.344 (76.180)
Epoch: [52][890/14090]	Time 0.729 (0.769)	Data 0.001 (0.007)	Loss 2.1050 (2.1513)	Prec@1 50.781 (45.738)	Prec@5 74.219 (76.157)
Epoch: [52][900/14090]	Time 0.739 (0.769)	Data 0.001 (0.007)	Loss 2.2115 (2.1522)	Prec@1 48.438 (45.725)	Prec@5 78.125 (76.142)
Epoch: [52][910/14090]	Time 0.790 (0.769)	Data 0.001 (0.007)	Loss 2.2834 (2.1518)	Prec@1 47.656 (45.739)	Prec@5 78.125 (76.153)
Epoch: [52][920/14090]	Time 0.796 (0.769)	Data 0.001 (0.006)	Loss 2.0604 (2.1523)	Prec@1 46.094 (45.728)	Prec@5 78.906 (76.140)
Epoch: [52][930/14090]	Time 0.788 (0.769)	Data 0.001 (0.006)	Loss 2.4606 (2.1522)	Prec@1 42.969 (45.730)	Prec@5 67.969 (76.129)
Epoch: [52][940/14090]	Time 0.758 (0.768)	Data 0.001 (0.006)	Loss 2.2075 (2.1513)	Prec@1 39.062 (45.753)	Prec@5 76.562 (76.139)
Epoch: [52][950/14090]	Time 0.781 (0.768)	Data 0.001 (0.006)	Loss 2.3524 (2.1515)	Prec@1 45.312 (45.755)	Prec@5 69.531 (76.137)
Epoch: [52][960/14090]	Time 0.771 (0.768)	Data 0.001 (0.006)	Loss 2.1255 (2.1513)	Prec@1 49.219 (45.767)	Prec@5 78.125 (76.133)
Epoch: [52][970/14090]	Time 0.750 (0.768)	Data 0.001 (0.006)	Loss 1.9218 (2.1509)	Prec@1 51.562 (45.794)	Prec@5 82.031 (76.147)
Epoch: [52][980/14090]	Time 0.774 (0.768)	Data 0.001 (0.006)	Loss 2.1058 (2.1504)	Prec@1 46.875 (45.829)	Prec@5 74.219 (76.152)
Epoch: [52][990/14090]	Time 0.856 (0.768)	Data 0.001 (0.006)	Loss 2.3074 (2.1514)	Prec@1 43.750 (45.814)	Prec@5 73.438 (76.128)
Epoch: [52][1000/14090]	Time 0.736 (0.768)	Data 0.001 (0.006)	Loss 2.1499 (2.1519)	Prec@1 43.750 (45.801)	Prec@5 78.906 (76.123)
Epoch: [52][1010/14090]	Time 0.776 (0.768)	Data 0.001 (0.006)	Loss 1.7701 (2.1517)	Prec@1 52.344 (45.800)	Prec@5 82.812 (76.124)
Epoch: [52][1020/14090]	Time 0.739 (0.768)	Data 0.001 (0.006)	Loss 2.0389 (2.1525)	Prec@1 46.094 (45.792)	Prec@5 78.906 (76.112)
Epoch: [52][1030/14090]	Time 0.767 (0.768)	Data 0.001 (0.006)	Loss 2.2705 (2.1518)	Prec@1 41.406 (45.810)	Prec@5 80.469 (76.134)
Epoch: [52][1040/14090]	Time 0.731 (0.768)	Data 0.001 (0.006)	Loss 2.3297 (2.1518)	Prec@1 41.406 (45.811)	Prec@5 71.875 (76.135)
Epoch: [52][1050/14090]	Time 0.742 (0.768)	Data 0.001 (0.006)	Loss 1.6766 (2.1518)	Prec@1 59.375 (45.800)	Prec@5 81.250 (76.137)
Epoch: [52][1060/14090]	Time 0.800 (0.768)	Data 0.001 (0.006)	Loss 2.1772 (2.1517)	Prec@1 41.406 (45.806)	Prec@5 74.219 (76.138)
Epoch: [52][1070/14090]	Time 0.736 (0.768)	Data 0.001 (0.006)	Loss 1.9228 (2.1516)	Prec@1 50.781 (45.806)	Prec@5 81.250 (76.140)
Epoch: [52][1080/14090]	Time 0.718 (0.768)	Data 0.001 (0.006)	Loss 2.1883 (2.1517)	Prec@1 44.531 (45.792)	Prec@5 74.219 (76.132)
Epoch: [52][1090/14090]	Time 0.751 (0.767)	Data 0.001 (0.006)	Loss 1.9399 (2.1516)	Prec@1 46.875 (45.777)	Prec@5 78.125 (76.129)
Epoch: [52][1100/14090]	Time 0.768 (0.767)	Data 0.001 (0.006)	Loss 2.1986 (2.1518)	Prec@1 43.750 (45.777)	Prec@5 72.656 (76.122)
Epoch: [52][1110/14090]	Time 0.756 (0.768)	Data 0.001 (0.006)	Loss 2.0980 (2.1518)	Prec@1 48.438 (45.786)	Prec@5 76.562 (76.124)
Epoch: [52][1120/14090]	Time 0.730 (0.768)	Data 0.001 (0.006)	Loss 2.2366 (2.1518)	Prec@1 45.312 (45.770)	Prec@5 70.312 (76.127)
Epoch: [52][1130/14090]	Time 0.841 (0.768)	Data 0.001 (0.005)	Loss 2.2655 (2.1518)	Prec@1 47.656 (45.764)	Prec@5 74.219 (76.122)
Epoch: [52][1140/14090]	Time 0.740 (0.768)	Data 0.001 (0.005)	Loss 2.1226 (2.1516)	Prec@1 53.906 (45.773)	Prec@5 79.688 (76.132)
Epoch: [52][1150/14090]	Time 0.754 (0.767)	Data 0.001 (0.005)	Loss 2.1690 (2.1523)	Prec@1 39.062 (45.758)	Prec@5 75.781 (76.119)
Epoch: [52][1160/14090]	Time 0.755 (0.768)	Data 0.002 (0.005)	Loss 2.1509 (2.1530)	Prec@1 44.531 (45.740)	Prec@5 78.125 (76.102)
Epoch: [52][1170/14090]	Time 0.745 (0.768)	Data 0.001 (0.005)	Loss 2.1803 (2.1529)	Prec@1 46.875 (45.725)	Prec@5 75.000 (76.120)
Epoch: [52][1180/14090]	Time 0.734 (0.768)	Data 0.001 (0.005)	Loss 2.1795 (2.1532)	Prec@1 46.875 (45.711)	Prec@5 75.781 (76.122)
Epoch: [52][1190/14090]	Time 0.737 (0.767)	Data 0.001 (0.005)	Loss 2.3962 (2.1535)	Prec@1 42.188 (45.705)	Prec@5 75.000 (76.121)
Epoch: [52][1200/14090]	Time 0.816 (0.767)	Data 0.001 (0.005)	Loss 2.4183 (2.1541)	Prec@1 38.281 (45.677)	Prec@5 73.438 (76.114)
Epoch: [52][1210/14090]	Time 0.754 (0.768)	Data 0.001 (0.005)	Loss 2.0522 (2.1541)	Prec@1 49.219 (45.679)	Prec@5 76.562 (76.114)
Epoch: [52][1220/14090]	Time 0.773 (0.768)	Data 0.001 (0.005)	Loss 2.3979 (2.1539)	Prec@1 42.188 (45.692)	Prec@5 72.656 (76.120)
Epoch: [52][1230/14090]	Time 0.762 (0.767)	Data 0.001 (0.005)	Loss 2.1559 (2.1538)	Prec@1 46.094 (45.690)	Prec@5 75.000 (76.112)
Epoch: [52][1240/14090]	Time 0.766 (0.767)	Data 0.001 (0.005)	Loss 2.2567 (2.1543)	Prec@1 41.406 (45.686)	Prec@5 74.219 (76.109)
Epoch: [52][1250/14090]	Time 0.753 (0.767)	Data 0.001 (0.005)	Loss 2.2948 (2.1546)	Prec@1 39.844 (45.680)	Prec@5 71.875 (76.105)
Epoch: [52][1260/14090]	Time 0.744 (0.767)	Data 0.001 (0.005)	Loss 2.2527 (2.1539)	Prec@1 41.406 (45.694)	Prec@5 78.125 (76.122)
Epoch: [52][1270/14090]	Time 0.850 (0.767)	Data 0.002 (0.005)	Loss 1.7983 (2.1537)	Prec@1 50.781 (45.690)	Prec@5 80.469 (76.129)
Epoch: [52][1280/14090]	Time 0.736 (0.767)	Data 0.001 (0.005)	Loss 2.1847 (2.1542)	Prec@1 45.312 (45.677)	Prec@5 77.344 (76.120)
Epoch: [52][1290/14090]	Time 0.737 (0.767)	Data 0.001 (0.005)	Loss 1.9076 (2.1538)	Prec@1 51.562 (45.684)	Prec@5 81.250 (76.126)
Epoch: [52][1300/14090]	Time 0.742 (0.767)	Data 0.001 (0.005)	Loss 2.1678 (2.1541)	Prec@1 46.875 (45.675)	Prec@5 78.906 (76.118)
Epoch: [52][1310/14090]	Time 0.717 (0.767)	Data 0.001 (0.005)	Loss 1.9334 (2.1541)	Prec@1 50.000 (45.669)	Prec@5 84.375 (76.110)
Epoch: [52][1320/14090]	Time 0.723 (0.767)	Data 0.002 (0.005)	Loss 2.2724 (2.1546)	Prec@1 42.969 (45.654)	Prec@5 75.000 (76.105)
Epoch: [52][1330/14090]	Time 0.735 (0.767)	Data 0.001 (0.005)	Loss 2.0764 (2.1542)	Prec@1 46.094 (45.661)	Prec@5 78.906 (76.112)
Epoch: [52][1340/14090]	Time 0.787 (0.767)	Data 0.001 (0.005)	Loss 2.3399 (2.1544)	Prec@1 40.625 (45.645)	Prec@5 71.875 (76.107)
Epoch: [52][1350/14090]	Time 0.731 (0.767)	Data 0.001 (0.005)	Loss 2.3725 (2.1541)	Prec@1 38.281 (45.657)	Prec@5 71.094 (76.118)
Epoch: [52][1360/14090]	Time 0.733 (0.767)	Data 0.001 (0.005)	Loss 2.0722 (2.1539)	Prec@1 42.188 (45.644)	Prec@5 81.250 (76.138)
Epoch: [52][1370/14090]	Time 0.760 (0.767)	Data 0.001 (0.005)	Loss 2.5692 (2.1548)	Prec@1 35.156 (45.619)	Prec@5 70.312 (76.118)
Epoch: [52][1380/14090]	Time 0.752 (0.767)	Data 0.001 (0.005)	Loss 2.0690 (2.1552)	Prec@1 50.781 (45.615)	Prec@5 77.344 (76.112)
Epoch: [52][1390/14090]	Time 0.732 (0.767)	Data 0.001 (0.005)	Loss 1.9105 (2.1549)	Prec@1 47.656 (45.616)	Prec@5 82.812 (76.117)
Epoch: [52][1400/14090]	Time 0.753 (0.767)	Data 0.001 (0.005)	Loss 2.0504 (2.1557)	Prec@1 50.000 (45.601)	Prec@5 77.344 (76.107)
Epoch: [52][1410/14090]	Time 0.821 (0.767)	Data 0.001 (0.005)	Loss 2.3466 (2.1552)	Prec@1 39.062 (45.597)	Prec@5 77.344 (76.117)
Epoch: [52][1420/14090]	Time 0.739 (0.767)	Data 0.001 (0.005)	Loss 2.0607 (2.1551)	Prec@1 52.344 (45.596)	Prec@5 76.562 (76.113)
Epoch: [52][1430/14090]	Time 0.730 (0.767)	Data 0.001 (0.005)	Loss 2.3534 (2.1554)	Prec@1 40.625 (45.603)	Prec@5 72.656 (76.110)
Epoch: [52][1440/14090]	Time 0.729 (0.767)	Data 0.001 (0.004)	Loss 2.2079 (2.1559)	Prec@1 46.094 (45.598)	Prec@5 81.250 (76.099)
Epoch: [52][1450/14090]	Time 0.774 (0.767)	Data 0.001 (0.004)	Loss 2.3620 (2.1560)	Prec@1 42.188 (45.596)	Prec@5 73.438 (76.098)
Epoch: [52][1460/14090]	Time 0.721 (0.766)	Data 0.001 (0.004)	Loss 2.2917 (2.1558)	Prec@1 43.750 (45.602)	Prec@5 75.000 (76.106)
Epoch: [52][1470/14090]	Time 0.744 (0.766)	Data 0.001 (0.004)	Loss 2.1855 (2.1561)	Prec@1 40.625 (45.600)	Prec@5 77.344 (76.103)
Epoch: [52][1480/14090]	Time 0.764 (0.766)	Data 0.001 (0.004)	Loss 2.1597 (2.1568)	Prec@1 44.531 (45.583)	Prec@5 76.562 (76.092)
Epoch: [52][1490/14090]	Time 0.781 (0.766)	Data 0.001 (0.004)	Loss 2.2742 (2.1565)	Prec@1 42.969 (45.591)	Prec@5 72.656 (76.089)
Epoch: [52][1500/14090]	Time 0.755 (0.766)	Data 0.001 (0.004)	Loss 2.2957 (2.1567)	Prec@1 43.750 (45.580)	Prec@5 76.562 (76.088)
Epoch: [52][1510/14090]	Time 0.771 (0.766)	Data 0.001 (0.004)	Loss 2.2233 (2.1570)	Prec@1 35.156 (45.560)	Prec@5 76.562 (76.084)
Epoch: [52][1520/14090]	Time 0.763 (0.766)	Data 0.001 (0.004)	Loss 2.2671 (2.1568)	Prec@1 46.094 (45.569)	Prec@5 74.219 (76.087)
Epoch: [52][1530/14090]	Time 0.754 (0.766)	Data 0.001 (0.004)	Loss 2.0144 (2.1571)	Prec@1 50.000 (45.557)	Prec@5 78.125 (76.077)
Epoch: [52][1540/14090]	Time 0.762 (0.766)	Data 0.001 (0.004)	Loss 2.1019 (2.1569)	Prec@1 49.219 (45.568)	Prec@5 75.781 (76.084)
Epoch: [52][1550/14090]	Time 0.793 (0.766)	Data 0.001 (0.004)	Loss 2.2801 (2.1569)	Prec@1 50.000 (45.571)	Prec@5 75.000 (76.079)
Epoch: [52][1560/14090]	Time 0.727 (0.766)	Data 0.001 (0.004)	Loss 2.1870 (2.1571)	Prec@1 46.875 (45.568)	Prec@5 77.344 (76.073)
Epoch: [52][1570/14090]	Time 0.780 (0.766)	Data 0.001 (0.004)	Loss 2.0366 (2.1569)	Prec@1 42.969 (45.568)	Prec@5 78.125 (76.083)
Epoch: [52][1580/14090]	Time 0.747 (0.766)	Data 0.001 (0.004)	Loss 1.8904 (2.1570)	Prec@1 51.562 (45.553)	Prec@5 78.125 (76.075)
Epoch: [52][1590/14090]	Time 0.776 (0.766)	Data 0.001 (0.004)	Loss 2.5572 (2.1574)	Prec@1 42.969 (45.546)	Prec@5 71.094 (76.066)
Epoch: [52][1600/14090]	Time 0.775 (0.766)	Data 0.001 (0.004)	Loss 2.1334 (2.1572)	Prec@1 46.094 (45.556)	Prec@5 73.438 (76.074)
Epoch: [52][1610/14090]	Time 0.724 (0.766)	Data 0.001 (0.004)	Loss 1.9552 (2.1570)	Prec@1 56.250 (45.558)	Prec@5 78.125 (76.078)
Epoch: [52][1620/14090]	Time 0.930 (0.766)	Data 0.001 (0.004)	Loss 2.3428 (2.1571)	Prec@1 36.719 (45.557)	Prec@5 75.000 (76.085)
Epoch: [52][1630/14090]	Time 0.774 (0.766)	Data 0.001 (0.004)	Loss 2.3778 (2.1576)	Prec@1 42.188 (45.544)	Prec@5 71.094 (76.078)
Epoch: [52][1640/14090]	Time 0.763 (0.766)	Data 0.002 (0.004)	Loss 2.0632 (2.1575)	Prec@1 46.875 (45.548)	Prec@5 81.250 (76.081)
Epoch: [52][1650/14090]	Time 0.764 (0.766)	Data 0.001 (0.004)	Loss 2.3341 (2.1572)	Prec@1 40.625 (45.554)	Prec@5 75.781 (76.080)
Epoch: [52][1660/14090]	Time 0.738 (0.766)	Data 0.001 (0.004)	Loss 2.2410 (2.1577)	Prec@1 45.312 (45.551)	Prec@5 75.000 (76.071)
Epoch: [52][1670/14090]	Time 0.739 (0.766)	Data 0.001 (0.004)	Loss 2.0616 (2.1579)	Prec@1 46.094 (45.552)	Prec@5 80.469 (76.071)
Epoch: [52][1680/14090]	Time 0.734 (0.766)	Data 0.001 (0.004)	Loss 2.4518 (2.1583)	Prec@1 42.188 (45.552)	Prec@5 74.219 (76.070)
Epoch: [52][1690/14090]	Time 0.876 (0.766)	Data 0.001 (0.004)	Loss 2.2311 (2.1585)	Prec@1 47.656 (45.554)	Prec@5 71.875 (76.071)
Epoch: [52][1700/14090]	Time 0.727 (0.766)	Data 0.001 (0.004)	Loss 2.0868 (2.1586)	Prec@1 47.656 (45.543)	Prec@5 78.906 (76.073)
Epoch: [52][1710/14090]	Time 0.760 (0.766)	Data 0.001 (0.004)	Loss 2.0959 (2.1585)	Prec@1 48.438 (45.540)	Prec@5 75.781 (76.079)
Epoch: [52][1720/14090]	Time 0.738 (0.766)	Data 0.001 (0.004)	Loss 2.0671 (2.1586)	Prec@1 48.438 (45.533)	Prec@5 79.688 (76.084)
Epoch: [52][1730/14090]	Time 0.752 (0.766)	Data 0.001 (0.004)	Loss 2.2268 (2.1588)	Prec@1 47.656 (45.533)	Prec@5 77.344 (76.082)
Epoch: [52][1740/14090]	Time 0.781 (0.766)	Data 0.001 (0.004)	Loss 2.0745 (2.1583)	Prec@1 45.312 (45.545)	Prec@5 73.438 (76.094)
Epoch: [52][1750/14090]	Time 0.789 (0.766)	Data 0.001 (0.004)	Loss 2.2677 (2.1582)	Prec@1 48.438 (45.545)	Prec@5 74.219 (76.099)
Epoch: [52][1760/14090]	Time 0.776 (0.766)	Data 0.001 (0.004)	Loss 2.3414 (2.1581)	Prec@1 44.531 (45.555)	Prec@5 72.656 (76.109)
Epoch: [52][1770/14090]	Time 0.730 (0.766)	Data 0.001 (0.004)	Loss 2.3468 (2.1587)	Prec@1 41.406 (45.544)	Prec@5 70.312 (76.098)
Epoch: [52][1780/14090]	Time 0.725 (0.766)	Data 0.001 (0.004)	Loss 2.2954 (2.1593)	Prec@1 43.750 (45.534)	Prec@5 74.219 (76.089)
Epoch: [52][1790/14090]	Time 0.738 (0.766)	Data 0.001 (0.004)	Loss 2.2541 (2.1592)	Prec@1 42.969 (45.531)	Prec@5 78.125 (76.092)
Epoch: [52][1800/14090]	Time 0.735 (0.766)	Data 0.001 (0.004)	Loss 2.4473 (2.1599)	Prec@1 45.312 (45.522)	Prec@5 74.219 (76.087)
Epoch: [52][1810/14090]	Time 0.731 (0.766)	Data 0.001 (0.004)	Loss 2.2336 (2.1597)	Prec@1 45.312 (45.532)	Prec@5 79.688 (76.092)
Epoch: [52][1820/14090]	Time 0.724 (0.766)	Data 0.001 (0.004)	Loss 2.1514 (2.1603)	Prec@1 46.094 (45.520)	Prec@5 78.125 (76.079)
Epoch: [52][1830/14090]	Time 0.833 (0.766)	Data 0.001 (0.004)	Loss 1.6481 (2.1598)	Prec@1 50.000 (45.531)	Prec@5 82.812 (76.088)
Epoch: [52][1840/14090]	Time 0.749 (0.766)	Data 0.002 (0.004)	Loss 2.2206 (2.1596)	Prec@1 43.750 (45.522)	Prec@5 74.219 (76.089)
Epoch: [52][1850/14090]	Time 0.725 (0.765)	Data 0.001 (0.004)	Loss 1.9432 (2.1595)	Prec@1 51.562 (45.521)	Prec@5 79.688 (76.099)
Epoch: [52][1860/14090]	Time 0.751 (0.765)	Data 0.001 (0.004)	Loss 2.0936 (2.1593)	Prec@1 43.750 (45.519)	Prec@5 79.688 (76.107)
Epoch: [52][1870/14090]	Time 0.765 (0.765)	Data 0.001 (0.004)	Loss 2.2943 (2.1591)	Prec@1 40.625 (45.520)	Prec@5 72.656 (76.108)
Epoch: [52][1880/14090]	Time 0.748 (0.765)	Data 0.001 (0.004)	Loss 2.3782 (2.1597)	Prec@1 39.062 (45.506)	Prec@5 74.219 (76.099)
Epoch: [52][1890/14090]	Time 0.766 (0.765)	Data 0.001 (0.004)	Loss 2.1563 (2.1598)	Prec@1 50.000 (45.497)	Prec@5 75.781 (76.096)
Epoch: [52][1900/14090]	Time 0.775 (0.765)	Data 0.001 (0.004)	Loss 2.1028 (2.1600)	Prec@1 41.406 (45.496)	Prec@5 82.031 (76.094)
Epoch: [52][1910/14090]	Time 0.739 (0.765)	Data 0.001 (0.004)	Loss 1.9721 (2.1597)	Prec@1 56.250 (45.510)	Prec@5 78.906 (76.098)
Epoch: [52][1920/14090]	Time 0.726 (0.765)	Data 0.001 (0.004)	Loss 2.1404 (2.1594)	Prec@1 46.094 (45.512)	Prec@5 77.344 (76.103)
Epoch: [52][1930/14090]	Time 0.727 (0.765)	Data 0.001 (0.004)	Loss 2.0397 (2.1593)	Prec@1 42.969 (45.503)	Prec@5 80.469 (76.103)
Epoch: [52][1940/14090]	Time 0.754 (0.765)	Data 0.001 (0.004)	Loss 1.9145 (2.1594)	Prec@1 50.781 (45.496)	Prec@5 83.594 (76.104)
Epoch: [52][1950/14090]	Time 0.745 (0.765)	Data 0.001 (0.004)	Loss 2.3180 (2.1589)	Prec@1 39.844 (45.500)	Prec@5 71.094 (76.111)
Epoch: [52][1960/14090]	Time 0.769 (0.765)	Data 0.001 (0.004)	Loss 2.4873 (2.1592)	Prec@1 42.188 (45.494)	Prec@5 68.750 (76.106)
Epoch: [52][1970/14090]	Time 0.860 (0.765)	Data 0.001 (0.004)	Loss 2.1756 (2.1592)	Prec@1 46.875 (45.495)	Prec@5 72.656 (76.102)
Epoch: [52][1980/14090]	Time 0.735 (0.765)	Data 0.001 (0.004)	Loss 2.4461 (2.1597)	Prec@1 39.062 (45.481)	Prec@5 73.438 (76.093)
Epoch: [52][1990/14090]	Time 0.743 (0.765)	Data 0.001 (0.003)	Loss 1.8982 (2.1597)	Prec@1 48.438 (45.474)	Prec@5 81.250 (76.089)
Epoch: [52][2000/14090]	Time 0.721 (0.765)	Data 0.001 (0.003)	Loss 2.1637 (2.1599)	Prec@1 48.438 (45.470)	Prec@5 78.125 (76.086)
Epoch: [52][2010/14090]	Time 0.748 (0.765)	Data 0.001 (0.003)	Loss 2.0307 (2.1597)	Prec@1 43.750 (45.480)	Prec@5 80.469 (76.095)
Epoch: [52][2020/14090]	Time 0.747 (0.765)	Data 0.001 (0.003)	Loss 2.1165 (2.1602)	Prec@1 46.875 (45.465)	Prec@5 75.781 (76.089)
Epoch: [52][2030/14090]	Time 0.725 (0.765)	Data 0.001 (0.003)	Loss 2.0492 (2.1606)	Prec@1 47.656 (45.449)	Prec@5 75.000 (76.085)
Epoch: [52][2040/14090]	Time 0.777 (0.765)	Data 0.005 (0.003)	Loss 2.4495 (2.1604)	Prec@1 42.188 (45.451)	Prec@5 69.531 (76.085)
Epoch: [52][2050/14090]	Time 0.773 (0.765)	Data 0.001 (0.003)	Loss 2.0751 (2.1599)	Prec@1 50.781 (45.461)	Prec@5 74.219 (76.097)
Epoch: [52][2060/14090]	Time 0.733 (0.765)	Data 0.001 (0.003)	Loss 2.1167 (2.1599)	Prec@1 45.312 (45.450)	Prec@5 77.344 (76.102)
Epoch: [52][2070/14090]	Time 0.766 (0.765)	Data 0.001 (0.003)	Loss 2.1462 (2.1600)	Prec@1 45.312 (45.441)	Prec@5 75.000 (76.100)
Epoch: [52][2080/14090]	Time 0.747 (0.765)	Data 0.001 (0.003)	Loss 1.9778 (2.1592)	Prec@1 49.219 (45.462)	Prec@5 81.250 (76.110)
Epoch: [52][2090/14090]	Time 0.745 (0.765)	Data 0.001 (0.003)	Loss 2.4084 (2.1594)	Prec@1 40.625 (45.461)	Prec@5 70.312 (76.103)
Epoch: [52][2100/14090]	Time 0.723 (0.765)	Data 0.001 (0.003)	Loss 2.1674 (2.1600)	Prec@1 47.656 (45.453)	Prec@5 76.562 (76.094)
Epoch: [52][2110/14090]	Time 0.798 (0.765)	Data 0.001 (0.003)	Loss 2.1213 (2.1602)	Prec@1 48.438 (45.450)	Prec@5 78.125 (76.090)
Epoch: [52][2120/14090]	Time 0.755 (0.765)	Data 0.001 (0.003)	Loss 2.1685 (2.1604)	Prec@1 44.531 (45.442)	Prec@5 75.000 (76.090)
Epoch: [52][2130/14090]	Time 0.765 (0.765)	Data 0.001 (0.003)	Loss 2.0049 (2.1607)	Prec@1 50.000 (45.440)	Prec@5 78.906 (76.085)
Epoch: [52][2140/14090]	Time 0.749 (0.765)	Data 0.001 (0.003)	Loss 2.3053 (2.1612)	Prec@1 41.406 (45.427)	Prec@5 75.000 (76.073)
Epoch: [52][2150/14090]	Time 0.776 (0.765)	Data 0.001 (0.003)	Loss 2.3432 (2.1612)	Prec@1 43.750 (45.429)	Prec@5 78.125 (76.070)
Epoch: [52][2160/14090]	Time 0.744 (0.765)	Data 0.001 (0.003)	Loss 2.0479 (2.1611)	Prec@1 46.094 (45.433)	Prec@5 78.906 (76.074)
Epoch: [52][2170/14090]	Time 0.730 (0.765)	Data 0.001 (0.003)	Loss 2.0104 (2.1608)	Prec@1 48.438 (45.437)	Prec@5 81.250 (76.078)
Epoch: [52][2180/14090]	Time 0.807 (0.765)	Data 0.001 (0.003)	Loss 1.9752 (2.1608)	Prec@1 50.781 (45.447)	Prec@5 77.344 (76.083)
Epoch: [52][2190/14090]	Time 0.741 (0.765)	Data 0.001 (0.003)	Loss 2.0735 (2.1611)	Prec@1 47.656 (45.439)	Prec@5 80.469 (76.082)
Epoch: [52][2200/14090]	Time 0.738 (0.765)	Data 0.001 (0.003)	Loss 2.0146 (2.1613)	Prec@1 47.656 (45.430)	Prec@5 80.469 (76.079)
Epoch: [52][2210/14090]	Time 0.751 (0.765)	Data 0.001 (0.003)	Loss 1.9645 (2.1615)	Prec@1 45.312 (45.425)	Prec@5 78.906 (76.073)
Epoch: [52][2220/14090]	Time 0.728 (0.765)	Data 0.001 (0.003)	Loss 2.4957 (2.1617)	Prec@1 41.406 (45.420)	Prec@5 69.531 (76.066)
Epoch: [52][2230/14090]	Time 0.750 (0.765)	Data 0.001 (0.003)	Loss 2.1941 (2.1618)	Prec@1 44.531 (45.413)	Prec@5 76.562 (76.060)
Epoch: [52][2240/14090]	Time 0.742 (0.765)	Data 0.001 (0.003)	Loss 2.0288 (2.1617)	Prec@1 48.438 (45.412)	Prec@5 80.469 (76.063)
Epoch: [52][2250/14090]	Time 0.851 (0.765)	Data 0.001 (0.003)	Loss 2.2783 (2.1619)	Prec@1 46.875 (45.402)	Prec@5 73.438 (76.062)
Epoch: [52][2260/14090]	Time 0.757 (0.765)	Data 0.001 (0.003)	Loss 1.9383 (2.1614)	Prec@1 47.656 (45.413)	Prec@5 78.906 (76.071)
Epoch: [52][2270/14090]	Time 0.780 (0.765)	Data 0.001 (0.003)	Loss 2.0178 (2.1609)	Prec@1 50.781 (45.419)	Prec@5 78.906 (76.077)
Epoch: [52][2280/14090]	Time 0.763 (0.765)	Data 0.001 (0.003)	Loss 2.1224 (2.1611)	Prec@1 44.531 (45.412)	Prec@5 74.219 (76.073)
Epoch: [52][2290/14090]	Time 0.752 (0.765)	Data 0.001 (0.003)	Loss 2.3105 (2.1610)	Prec@1 30.469 (45.403)	Prec@5 75.781 (76.073)
Epoch: [52][2300/14090]	Time 0.727 (0.765)	Data 0.001 (0.003)	Loss 1.9519 (2.1613)	Prec@1 43.750 (45.389)	Prec@5 79.688 (76.074)
Epoch: [52][2310/14090]	Time 0.723 (0.765)	Data 0.001 (0.003)	Loss 2.1452 (2.1616)	Prec@1 42.188 (45.386)	Prec@5 77.344 (76.066)
Epoch: [52][2320/14090]	Time 0.833 (0.765)	Data 0.001 (0.003)	Loss 2.0838 (2.1615)	Prec@1 47.656 (45.389)	Prec@5 80.469 (76.069)
Epoch: [52][2330/14090]	Time 0.742 (0.765)	Data 0.001 (0.003)	Loss 2.2472 (2.1614)	Prec@1 42.969 (45.392)	Prec@5 75.781 (76.065)
Epoch: [52][2340/14090]	Time 0.756 (0.765)	Data 0.001 (0.003)	Loss 2.0581 (2.1616)	Prec@1 50.000 (45.391)	Prec@5 74.219 (76.055)
Epoch: [52][2350/14090]	Time 0.757 (0.765)	Data 0.001 (0.003)	Loss 2.1591 (2.1616)	Prec@1 42.188 (45.391)	Prec@5 80.469 (76.056)
Epoch: [52][2360/14090]	Time 0.749 (0.765)	Data 0.001 (0.003)	Loss 2.2072 (2.1621)	Prec@1 43.750 (45.379)	Prec@5 77.344 (76.049)
Epoch: [52][2370/14090]	Time 0.747 (0.765)	Data 0.001 (0.003)	Loss 2.0651 (2.1621)	Prec@1 52.344 (45.378)	Prec@5 80.469 (76.054)
Epoch: [52][2380/14090]	Time 0.743 (0.765)	Data 0.001 (0.003)	Loss 2.2206 (2.1618)	Prec@1 43.750 (45.385)	Prec@5 77.344 (76.064)
Epoch: [52][2390/14090]	Time 0.800 (0.765)	Data 0.001 (0.003)	Loss 2.2765 (2.1623)	Prec@1 39.062 (45.374)	Prec@5 74.219 (76.053)
Epoch: [52][2400/14090]	Time 0.753 (0.765)	Data 0.001 (0.003)	Loss 2.0325 (2.1624)	Prec@1 42.969 (45.368)	Prec@5 81.250 (76.052)
Epoch: [52][2410/14090]	Time 0.732 (0.765)	Data 0.001 (0.003)	Loss 1.7819 (2.1623)	Prec@1 52.344 (45.369)	Prec@5 83.594 (76.054)
Epoch: [52][2420/14090]	Time 0.756 (0.765)	Data 0.002 (0.003)	Loss 2.1672 (2.1622)	Prec@1 45.312 (45.368)	Prec@5 76.562 (76.058)
Epoch: [52][2430/14090]	Time 0.778 (0.765)	Data 0.002 (0.003)	Loss 2.0807 (2.1621)	Prec@1 43.750 (45.373)	Prec@5 80.469 (76.063)
Epoch: [52][2440/14090]	Time 0.745 (0.765)	Data 0.001 (0.003)	Loss 2.1735 (2.1619)	Prec@1 46.875 (45.377)	Prec@5 75.000 (76.066)
Epoch: [52][2450/14090]	Time 0.743 (0.765)	Data 0.001 (0.003)	Loss 2.0223 (2.1617)	Prec@1 53.906 (45.375)	Prec@5 72.656 (76.067)
Epoch: [52][2460/14090]	Time 0.861 (0.765)	Data 0.001 (0.003)	Loss 2.2979 (2.1620)	Prec@1 46.094 (45.368)	Prec@5 74.219 (76.058)
Epoch: [52][2470/14090]	Time 0.745 (0.765)	Data 0.001 (0.003)	Loss 2.0396 (2.1621)	Prec@1 47.656 (45.368)	Prec@5 81.250 (76.060)
Epoch: [52][2480/14090]	Time 0.747 (0.765)	Data 0.001 (0.003)	Loss 2.1011 (2.1620)	Prec@1 48.438 (45.368)	Prec@5 73.438 (76.062)
Epoch: [52][2490/14090]	Time 0.744 (0.765)	Data 0.001 (0.003)	Loss 2.1443 (2.1620)	Prec@1 42.969 (45.365)	Prec@5 72.656 (76.057)
Epoch: [52][2500/14090]	Time 0.741 (0.765)	Data 0.001 (0.003)	Loss 2.1242 (2.1619)	Prec@1 44.531 (45.365)	Prec@5 75.000 (76.058)
Epoch: [52][2510/14090]	Time 0.735 (0.765)	Data 0.001 (0.003)	Loss 1.9693 (2.1620)	Prec@1 49.219 (45.355)	Prec@5 78.906 (76.056)
Epoch: [52][2520/14090]	Time 0.747 (0.765)	Data 0.001 (0.003)	Loss 2.1644 (2.1621)	Prec@1 47.656 (45.347)	Prec@5 78.906 (76.054)
Epoch: [52][2530/14090]	Time 0.816 (0.765)	Data 0.001 (0.003)	Loss 2.1322 (2.1621)	Prec@1 43.750 (45.350)	Prec@5 76.562 (76.053)
Epoch: [52][2540/14090]	Time 0.734 (0.765)	Data 0.001 (0.003)	Loss 1.8981 (2.1619)	Prec@1 50.000 (45.354)	Prec@5 82.812 (76.053)
Epoch: [52][2550/14090]	Time 0.778 (0.765)	Data 0.001 (0.003)	Loss 2.3073 (2.1621)	Prec@1 46.094 (45.346)	Prec@5 77.344 (76.053)
Epoch: [52][2560/14090]	Time 0.729 (0.765)	Data 0.001 (0.003)	Loss 2.0507 (2.1617)	Prec@1 43.750 (45.350)	Prec@5 76.562 (76.057)
Epoch: [52][2570/14090]	Time 0.751 (0.765)	Data 0.001 (0.003)	Loss 2.4427 (2.1620)	Prec@1 39.844 (45.350)	Prec@5 69.531 (76.051)
Epoch: [52][2580/14090]	Time 0.782 (0.765)	Data 0.001 (0.003)	Loss 2.1206 (2.1620)	Prec@1 42.188 (45.346)	Prec@5 78.125 (76.052)
Epoch: [52][2590/14090]	Time 0.737 (0.765)	Data 0.001 (0.003)	Loss 1.9109 (2.1621)	Prec@1 47.656 (45.344)	Prec@5 85.156 (76.054)
Epoch: [52][2600/14090]	Time 0.797 (0.765)	Data 0.001 (0.003)	Loss 2.4297 (2.1626)	Prec@1 42.969 (45.335)	Prec@5 69.531 (76.043)
Epoch: [52][2610/14090]	Time 0.761 (0.765)	Data 0.001 (0.003)	Loss 2.2738 (2.1628)	Prec@1 45.312 (45.334)	Prec@5 69.531 (76.039)
Epoch: [52][2620/14090]	Time 0.756 (0.765)	Data 0.001 (0.003)	Loss 1.9622 (2.1626)	Prec@1 44.531 (45.338)	Prec@5 79.688 (76.041)
Epoch: [52][2630/14090]	Time 0.783 (0.765)	Data 0.001 (0.003)	Loss 2.3100 (2.1628)	Prec@1 37.500 (45.329)	Prec@5 69.531 (76.034)
Epoch: [52][2640/14090]	Time 0.738 (0.765)	Data 0.001 (0.003)	Loss 2.4870 (2.1630)	Prec@1 35.938 (45.321)	Prec@5 71.875 (76.033)
Epoch: [52][2650/14090]	Time 0.762 (0.765)	Data 0.001 (0.003)	Loss 1.6240 (2.1633)	Prec@1 56.250 (45.317)	Prec@5 87.500 (76.031)
Epoch: [52][2660/14090]	Time 0.744 (0.765)	Data 0.001 (0.003)	Loss 2.4881 (2.1636)	Prec@1 33.594 (45.300)	Prec@5 68.750 (76.026)
Epoch: [52][2670/14090]	Time 0.786 (0.765)	Data 0.001 (0.003)	Loss 2.1018 (2.1640)	Prec@1 47.656 (45.295)	Prec@5 78.125 (76.013)
Epoch: [52][2680/14090]	Time 0.734 (0.765)	Data 0.001 (0.003)	Loss 2.2798 (2.1640)	Prec@1 39.062 (45.294)	Prec@5 72.656 (76.013)
Epoch: [52][2690/14090]	Time 0.777 (0.765)	Data 0.001 (0.003)	Loss 1.9753 (2.1643)	Prec@1 52.344 (45.294)	Prec@5 78.906 (76.008)
Epoch: [52][2700/14090]	Time 0.733 (0.765)	Data 0.001 (0.003)	Loss 2.4212 (2.1642)	Prec@1 42.969 (45.299)	Prec@5 73.438 (76.006)
Epoch: [52][2710/14090]	Time 0.729 (0.765)	Data 0.001 (0.003)	Loss 2.2904 (2.1641)	Prec@1 39.844 (45.303)	Prec@5 74.219 (76.007)
Epoch: [52][2720/14090]	Time 0.733 (0.765)	Data 0.001 (0.003)	Loss 2.3340 (2.1639)	Prec@1 42.969 (45.304)	Prec@5 76.562 (76.013)
Epoch: [52][2730/14090]	Time 0.746 (0.764)	Data 0.001 (0.003)	Loss 2.0129 (2.1643)	Prec@1 46.094 (45.295)	Prec@5 78.906 (76.008)
Epoch: [52][2740/14090]	Time 0.787 (0.764)	Data 0.001 (0.003)	Loss 2.0873 (2.1643)	Prec@1 49.219 (45.291)	Prec@5 78.906 (76.004)
Epoch: [52][2750/14090]	Time 0.736 (0.764)	Data 0.001 (0.003)	Loss 2.1361 (2.1647)	Prec@1 50.781 (45.284)	Prec@5 72.656 (75.997)
Epoch: [52][2760/14090]	Time 0.724 (0.764)	Data 0.001 (0.003)	Loss 2.2058 (2.1648)	Prec@1 39.844 (45.281)	Prec@5 76.562 (75.997)
Epoch: [52][2770/14090]	Time 0.774 (0.764)	Data 0.001 (0.003)	Loss 2.1193 (2.1648)	Prec@1 49.219 (45.277)	Prec@5 74.219 (75.994)
Epoch: [52][2780/14090]	Time 0.753 (0.764)	Data 0.001 (0.003)	Loss 2.1765 (2.1645)	Prec@1 46.094 (45.283)	Prec@5 76.562 (75.995)
Epoch: [52][2790/14090]	Time 0.735 (0.764)	Data 0.001 (0.003)	Loss 2.3161 (2.1646)	Prec@1 48.438 (45.284)	Prec@5 71.875 (75.991)
Epoch: [52][2800/14090]	Time 0.734 (0.764)	Data 0.001 (0.003)	Loss 2.2647 (2.1646)	Prec@1 43.750 (45.278)	Prec@5 75.781 (75.993)
Epoch: [52][2810/14090]	Time 0.802 (0.764)	Data 0.001 (0.003)	Loss 2.2166 (2.1646)	Prec@1 38.281 (45.277)	Prec@5 77.344 (75.995)
Epoch: [52][2820/14090]	Time 0.768 (0.764)	Data 0.001 (0.003)	Loss 2.4010 (2.1644)	Prec@1 37.500 (45.275)	Prec@5 71.875 (75.996)
Epoch: [52][2830/14090]	Time 0.749 (0.764)	Data 0.001 (0.003)	Loss 2.3734 (2.1645)	Prec@1 39.844 (45.275)	Prec@5 68.750 (75.995)
Epoch: [52][2840/14090]	Time 0.776 (0.764)	Data 0.001 (0.003)	Loss 2.0414 (2.1645)	Prec@1 48.438 (45.271)	Prec@5 80.469 (75.998)
Epoch: [52][2850/14090]	Time 0.732 (0.764)	Data 0.003 (0.003)	Loss 2.0088 (2.1642)	Prec@1 53.125 (45.280)	Prec@5 79.688 (76.006)
Epoch: [52][2860/14090]	Time 0.739 (0.764)	Data 0.001 (0.003)	Loss 2.2454 (2.1641)	Prec@1 42.188 (45.282)	Prec@5 75.000 (76.004)
Epoch: [52][2870/14090]	Time 0.744 (0.764)	Data 0.001 (0.003)	Loss 2.1097 (2.1642)	Prec@1 45.312 (45.276)	Prec@5 75.000 (76.008)
Epoch: [52][2880/14090]	Time 0.811 (0.764)	Data 0.001 (0.003)	Loss 2.0159 (2.1642)	Prec@1 46.875 (45.274)	Prec@5 78.125 (76.013)
Epoch: [52][2890/14090]	Time 0.776 (0.764)	Data 0.002 (0.003)	Loss 2.3034 (2.1641)	Prec@1 42.188 (45.279)	Prec@5 72.656 (76.015)
Epoch: [52][2900/14090]	Time 0.782 (0.764)	Data 0.001 (0.003)	Loss 2.1892 (2.1640)	Prec@1 40.625 (45.280)	Prec@5 77.344 (76.016)
Epoch: [52][2910/14090]	Time 0.755 (0.764)	Data 0.001 (0.003)	Loss 1.9304 (2.1638)	Prec@1 49.219 (45.289)	Prec@5 83.594 (76.021)
Epoch: [52][2920/14090]	Time 0.735 (0.764)	Data 0.001 (0.003)	Loss 2.1431 (2.1640)	Prec@1 42.188 (45.279)	Prec@5 78.125 (76.017)
Epoch: [52][2930/14090]	Time 0.769 (0.764)	Data 0.001 (0.003)	Loss 2.2913 (2.1639)	Prec@1 46.094 (45.279)	Prec@5 71.875 (76.018)
Epoch: [52][2940/14090]	Time 0.727 (0.764)	Data 0.001 (0.003)	Loss 2.3869 (2.1639)	Prec@1 38.281 (45.276)	Prec@5 71.875 (76.018)
Epoch: [52][2950/14090]	Time 0.801 (0.764)	Data 0.001 (0.003)	Loss 2.3680 (2.1641)	Prec@1 35.938 (45.261)	Prec@5 78.125 (76.018)
Epoch: [52][2960/14090]	Time 0.745 (0.764)	Data 0.001 (0.003)	Loss 2.2751 (2.1640)	Prec@1 43.750 (45.261)	Prec@5 77.344 (76.019)
Epoch: [52][2970/14090]	Time 0.723 (0.764)	Data 0.001 (0.003)	Loss 2.2999 (2.1642)	Prec@1 42.969 (45.264)	Prec@5 72.656 (76.007)
Epoch: [52][2980/14090]	Time 0.725 (0.764)	Data 0.001 (0.003)	Loss 2.3090 (2.1645)	Prec@1 39.062 (45.261)	Prec@5 74.219 (76.003)
Epoch: [52][2990/14090]	Time 0.731 (0.764)	Data 0.001 (0.003)	Loss 2.2725 (2.1647)	Prec@1 44.531 (45.257)	Prec@5 74.219 (75.999)
Epoch: [52][3000/14090]	Time 0.733 (0.764)	Data 0.001 (0.003)	Loss 2.1776 (2.1644)	Prec@1 37.500 (45.262)	Prec@5 75.000 (75.998)
Epoch: [52][3010/14090]	Time 0.728 (0.764)	Data 0.001 (0.003)	Loss 1.9587 (2.1644)	Prec@1 53.125 (45.264)	Prec@5 79.688 (75.999)
Epoch: [52][3020/14090]	Time 0.776 (0.764)	Data 0.001 (0.003)	Loss 2.1168 (2.1640)	Prec@1 41.406 (45.274)	Prec@5 78.125 (76.007)
Epoch: [52][3030/14090]	Time 0.728 (0.764)	Data 0.001 (0.003)	Loss 2.1860 (2.1641)	Prec@1 47.656 (45.276)	Prec@5 75.000 (76.003)
Epoch: [52][3040/14090]	Time 0.741 (0.764)	Data 0.002 (0.003)	Loss 2.4282 (2.1641)	Prec@1 42.969 (45.276)	Prec@5 68.750 (76.003)
Epoch: [52][3050/14090]	Time 0.745 (0.764)	Data 0.001 (0.003)	Loss 2.1240 (2.1640)	Prec@1 48.438 (45.277)	Prec@5 77.344 (76.007)
Epoch: [52][3060/14090]	Time 0.732 (0.764)	Data 0.001 (0.003)	Loss 2.1746 (2.1638)	Prec@1 44.531 (45.282)	Prec@5 72.656 (76.014)
Epoch: [52][3070/14090]	Time 0.725 (0.764)	Data 0.001 (0.003)	Loss 2.3834 (2.1639)	Prec@1 41.406 (45.275)	Prec@5 71.094 (76.010)
Epoch: [52][3080/14090]	Time 0.744 (0.764)	Data 0.001 (0.003)	Loss 1.9801 (2.1639)	Prec@1 50.781 (45.273)	Prec@5 79.688 (76.010)
Epoch: [52][3090/14090]	Time 0.836 (0.764)	Data 0.001 (0.003)	Loss 2.1357 (2.1635)	Prec@1 45.312 (45.285)	Prec@5 75.781 (76.012)
Epoch: [52][3100/14090]	Time 0.776 (0.764)	Data 0.001 (0.003)	Loss 2.1046 (2.1636)	Prec@1 43.750 (45.284)	Prec@5 72.656 (76.005)
Epoch: [52][3110/14090]	Time 0.757 (0.764)	Data 0.001 (0.003)	Loss 2.3605 (2.1638)	Prec@1 46.875 (45.281)	Prec@5 70.312 (75.997)
Epoch: [52][3120/14090]	Time 0.744 (0.764)	Data 0.001 (0.003)	Loss 2.3238 (2.1642)	Prec@1 42.188 (45.275)	Prec@5 72.656 (75.993)
Epoch: [52][3130/14090]	Time 0.729 (0.764)	Data 0.001 (0.003)	Loss 2.0093 (2.1643)	Prec@1 50.000 (45.277)	Prec@5 80.469 (75.989)
Epoch: [52][3140/14090]	Time 0.758 (0.764)	Data 0.002 (0.003)	Loss 2.0961 (2.1645)	Prec@1 48.438 (45.266)	Prec@5 73.438 (75.983)
Epoch: [52][3150/14090]	Time 0.764 (0.764)	Data 0.001 (0.003)	Loss 2.1009 (2.1645)	Prec@1 45.312 (45.262)	Prec@5 75.000 (75.984)
Epoch: [52][3160/14090]	Time 0.815 (0.764)	Data 0.001 (0.003)	Loss 1.9997 (2.1645)	Prec@1 50.000 (45.264)	Prec@5 82.031 (75.984)
Epoch: [52][3170/14090]	Time 0.761 (0.764)	Data 0.001 (0.003)	Loss 2.2197 (2.1643)	Prec@1 46.875 (45.268)	Prec@5 75.781 (75.989)
Epoch: [52][3180/14090]	Time 0.779 (0.764)	Data 0.001 (0.003)	Loss 1.9132 (2.1642)	Prec@1 51.562 (45.270)	Prec@5 80.469 (75.990)
Epoch: [52][3190/14090]	Time 0.776 (0.764)	Data 0.001 (0.003)	Loss 2.2033 (2.1644)	Prec@1 44.531 (45.264)	Prec@5 73.438 (75.990)
Epoch: [52][3200/14090]	Time 0.762 (0.764)	Data 0.001 (0.003)	Loss 1.9664 (2.1645)	Prec@1 44.531 (45.263)	Prec@5 78.906 (75.992)
Epoch: [52][3210/14090]	Time 0.733 (0.764)	Data 0.001 (0.003)	Loss 2.2337 (2.1642)	Prec@1 49.219 (45.272)	Prec@5 71.094 (75.992)
Epoch: [52][3220/14090]	Time 0.728 (0.764)	Data 0.001 (0.003)	Loss 2.2733 (2.1645)	Prec@1 42.969 (45.273)	Prec@5 76.562 (75.985)
Epoch: [52][3230/14090]	Time 0.968 (0.764)	Data 0.001 (0.002)	Loss 2.4067 (2.1646)	Prec@1 40.625 (45.275)	Prec@5 68.750 (75.984)
Epoch: [52][3240/14090]	Time 0.747 (0.764)	Data 0.001 (0.002)	Loss 2.2591 (2.1646)	Prec@1 48.438 (45.278)	Prec@5 76.562 (75.984)
Epoch: [52][3250/14090]	Time 0.726 (0.764)	Data 0.001 (0.002)	Loss 2.2377 (2.1646)	Prec@1 49.219 (45.278)	Prec@5 72.656 (75.986)
Epoch: [52][3260/14090]	Time 0.729 (0.764)	Data 0.001 (0.002)	Loss 2.1514 (2.1647)	Prec@1 39.844 (45.280)	Prec@5 79.688 (75.982)
Epoch: [52][3270/14090]	Time 0.777 (0.764)	Data 0.001 (0.002)	Loss 2.2691 (2.1647)	Prec@1 45.312 (45.278)	Prec@5 75.781 (75.984)
Epoch: [52][3280/14090]	Time 0.760 (0.764)	Data 0.001 (0.002)	Loss 2.2065 (2.1648)	Prec@1 44.531 (45.279)	Prec@5 72.656 (75.977)
Epoch: [52][3290/14090]	Time 0.735 (0.764)	Data 0.001 (0.002)	Loss 2.0946 (2.1650)	Prec@1 46.875 (45.278)	Prec@5 78.125 (75.971)
Epoch: [52][3300/14090]	Time 0.794 (0.764)	Data 0.001 (0.002)	Loss 2.2893 (2.1649)	Prec@1 40.625 (45.278)	Prec@5 71.094 (75.972)
Epoch: [52][3310/14090]	Time 0.748 (0.764)	Data 0.001 (0.002)	Loss 1.9559 (2.1650)	Prec@1 46.875 (45.276)	Prec@5 77.344 (75.970)
Epoch: [52][3320/14090]	Time 0.752 (0.764)	Data 0.001 (0.002)	Loss 2.0205 (2.1650)	Prec@1 49.219 (45.277)	Prec@5 80.469 (75.972)
Epoch: [52][3330/14090]	Time 0.758 (0.764)	Data 0.001 (0.002)	Loss 2.0962 (2.1648)	Prec@1 47.656 (45.283)	Prec@5 78.125 (75.975)
Epoch: [52][3340/14090]	Time 0.730 (0.764)	Data 0.001 (0.002)	Loss 2.2278 (2.1647)	Prec@1 42.188 (45.283)	Prec@5 75.781 (75.970)
Epoch: [52][3350/14090]	Time 0.759 (0.764)	Data 0.001 (0.002)	Loss 2.4179 (2.1648)	Prec@1 39.062 (45.282)	Prec@5 69.531 (75.967)
Epoch: [52][3360/14090]	Time 0.739 (0.764)	Data 0.001 (0.002)	Loss 2.4992 (2.1649)	Prec@1 39.062 (45.280)	Prec@5 73.438 (75.964)
Epoch: [52][3370/14090]	Time 0.832 (0.764)	Data 0.001 (0.002)	Loss 2.0787 (2.1648)	Prec@1 41.406 (45.281)	Prec@5 79.688 (75.969)
Epoch: [52][3380/14090]	Time 0.737 (0.764)	Data 0.001 (0.002)	Loss 2.3335 (2.1648)	Prec@1 42.969 (45.286)	Prec@5 73.438 (75.970)
Epoch: [52][3390/14090]	Time 0.782 (0.764)	Data 0.001 (0.002)	Loss 2.1858 (2.1645)	Prec@1 45.312 (45.290)	Prec@5 75.000 (75.974)
Epoch: [52][3400/14090]	Time 0.747 (0.764)	Data 0.001 (0.002)	Loss 2.2649 (2.1646)	Prec@1 44.531 (45.288)	Prec@5 75.000 (75.973)
Epoch: [52][3410/14090]	Time 0.741 (0.764)	Data 0.000 (0.002)	Loss 2.1883 (2.1646)	Prec@1 36.719 (45.285)	Prec@5 75.000 (75.972)
Epoch: [52][3420/14090]	Time 0.763 (0.764)	Data 0.001 (0.002)	Loss 2.3326 (2.1646)	Prec@1 42.969 (45.289)	Prec@5 71.875 (75.974)
Epoch: [52][3430/14090]	Time 0.732 (0.764)	Data 0.001 (0.002)	Loss 2.1028 (2.1647)	Prec@1 46.875 (45.292)	Prec@5 79.688 (75.972)
Epoch: [52][3440/14090]	Time 0.771 (0.764)	Data 0.001 (0.002)	Loss 2.4689 (2.1646)	Prec@1 34.375 (45.293)	Prec@5 71.875 (75.973)
Epoch: [52][3450/14090]	Time 0.786 (0.764)	Data 0.001 (0.002)	Loss 2.2361 (2.1648)	Prec@1 45.312 (45.289)	Prec@5 72.656 (75.967)
Epoch: [52][3460/14090]	Time 0.751 (0.764)	Data 0.001 (0.002)	Loss 2.3778 (2.1649)	Prec@1 37.500 (45.289)	Prec@5 69.531 (75.965)
Epoch: [52][3470/14090]	Time 0.739 (0.764)	Data 0.001 (0.002)	Loss 2.1035 (2.1650)	Prec@1 45.312 (45.287)	Prec@5 73.438 (75.959)
Epoch: [52][3480/14090]	Time 0.739 (0.764)	Data 0.001 (0.002)	Loss 2.2497 (2.1651)	Prec@1 43.750 (45.287)	Prec@5 73.438 (75.955)
Epoch: [52][3490/14090]	Time 0.726 (0.764)	Data 0.001 (0.002)	Loss 2.0641 (2.1651)	Prec@1 44.531 (45.285)	Prec@5 78.906 (75.955)
Epoch: [52][3500/14090]	Time 0.739 (0.764)	Data 0.001 (0.002)	Loss 2.3302 (2.1652)	Prec@1 40.625 (45.283)	Prec@5 71.875 (75.954)
Epoch: [52][3510/14090]	Time 0.835 (0.764)	Data 0.001 (0.002)	Loss 1.8894 (2.1652)	Prec@1 50.781 (45.285)	Prec@5 80.469 (75.954)
Epoch: [52][3520/14090]	Time 0.759 (0.764)	Data 0.001 (0.002)	Loss 2.0235 (2.1652)	Prec@1 46.875 (45.283)	Prec@5 76.562 (75.952)
Epoch: [52][3530/14090]	Time 0.726 (0.764)	Data 0.001 (0.002)	Loss 2.1243 (2.1653)	Prec@1 46.094 (45.272)	Prec@5 78.125 (75.948)
Epoch: [52][3540/14090]	Time 0.750 (0.764)	Data 0.001 (0.002)	Loss 2.4857 (2.1656)	Prec@1 41.406 (45.268)	Prec@5 71.875 (75.942)
Epoch: [52][3550/14090]	Time 0.742 (0.763)	Data 0.001 (0.002)	Loss 2.3789 (2.1659)	Prec@1 41.406 (45.255)	Prec@5 71.875 (75.933)
Epoch: [52][3560/14090]	Time 0.745 (0.764)	Data 0.001 (0.002)	Loss 2.0828 (2.1660)	Prec@1 46.094 (45.257)	Prec@5 81.250 (75.935)
Epoch: [52][3570/14090]	Time 0.733 (0.763)	Data 0.001 (0.002)	Loss 2.2842 (2.1660)	Prec@1 40.625 (45.255)	Prec@5 72.656 (75.936)
Epoch: [52][3580/14090]	Time 0.951 (0.764)	Data 0.001 (0.002)	Loss 2.2475 (2.1660)	Prec@1 42.969 (45.254)	Prec@5 71.875 (75.938)
Epoch: [52][3590/14090]	Time 0.741 (0.764)	Data 0.001 (0.002)	Loss 2.3381 (2.1657)	Prec@1 43.750 (45.259)	Prec@5 72.656 (75.945)
Epoch: [52][3600/14090]	Time 0.737 (0.763)	Data 0.001 (0.002)	Loss 2.1960 (2.1659)	Prec@1 42.188 (45.253)	Prec@5 75.000 (75.941)
Epoch: [52][3610/14090]	Time 0.764 (0.764)	Data 0.001 (0.002)	Loss 2.0609 (2.1658)	Prec@1 53.125 (45.256)	Prec@5 77.344 (75.940)
Epoch: [52][3620/14090]	Time 0.736 (0.764)	Data 0.001 (0.002)	Loss 2.1494 (2.1657)	Prec@1 46.875 (45.261)	Prec@5 77.344 (75.939)
Epoch: [52][3630/14090]	Time 0.731 (0.764)	Data 0.001 (0.002)	Loss 2.2858 (2.1658)	Prec@1 39.062 (45.261)	Prec@5 73.438 (75.939)
Epoch: [52][3640/14090]	Time 0.738 (0.764)	Data 0.001 (0.002)	Loss 2.3301 (2.1657)	Prec@1 40.625 (45.265)	Prec@5 67.969 (75.937)
Epoch: [52][3650/14090]	Time 0.779 (0.764)	Data 0.001 (0.002)	Loss 2.0785 (2.1656)	Prec@1 50.000 (45.267)	Prec@5 81.250 (75.942)
Epoch: [52][3660/14090]	Time 0.757 (0.764)	Data 0.001 (0.002)	Loss 2.3535 (2.1655)	Prec@1 41.406 (45.270)	Prec@5 67.969 (75.942)
Epoch: [52][3670/14090]	Time 0.741 (0.764)	Data 0.001 (0.002)	Loss 2.0248 (2.1655)	Prec@1 45.312 (45.270)	Prec@5 77.344 (75.946)
Epoch: [52][3680/14090]	Time 0.729 (0.764)	Data 0.001 (0.002)	Loss 2.3555 (2.1655)	Prec@1 42.188 (45.270)	Prec@5 71.094 (75.949)
Epoch: [52][3690/14090]	Time 0.732 (0.763)	Data 0.001 (0.002)	Loss 2.0943 (2.1653)	Prec@1 43.750 (45.272)	Prec@5 75.000 (75.951)
Epoch: [52][3700/14090]	Time 0.745 (0.764)	Data 0.001 (0.002)	Loss 2.2104 (2.1654)	Prec@1 43.750 (45.272)	Prec@5 74.219 (75.950)
Epoch: [52][3710/14090]	Time 0.800 (0.763)	Data 0.001 (0.002)	Loss 2.2173 (2.1652)	Prec@1 42.188 (45.276)	Prec@5 73.438 (75.951)
Epoch: [52][3720/14090]	Time 0.951 (0.764)	Data 0.001 (0.002)	Loss 1.9746 (2.1652)	Prec@1 52.344 (45.278)	Prec@5 78.906 (75.951)
Epoch: [52][3730/14090]	Time 0.753 (0.763)	Data 0.001 (0.002)	Loss 2.5233 (2.1654)	Prec@1 37.500 (45.274)	Prec@5 68.750 (75.944)
Epoch: [52][3740/14090]	Time 0.762 (0.763)	Data 0.001 (0.002)	Loss 2.1826 (2.1654)	Prec@1 51.562 (45.273)	Prec@5 74.219 (75.946)
Epoch: [52][3750/14090]	Time 0.749 (0.763)	Data 0.001 (0.002)	Loss 2.1611 (2.1653)	Prec@1 47.656 (45.275)	Prec@5 71.875 (75.947)
Epoch: [52][3760/14090]	Time 0.753 (0.763)	Data 0.001 (0.002)	Loss 2.1902 (2.1655)	Prec@1 42.969 (45.276)	Prec@5 72.656 (75.943)
Epoch: [52][3770/14090]	Time 0.736 (0.763)	Data 0.001 (0.002)	Loss 2.1286 (2.1653)	Prec@1 47.656 (45.276)	Prec@5 73.438 (75.945)
Epoch: [52][3780/14090]	Time 0.755 (0.764)	Data 0.001 (0.002)	Loss 2.2111 (2.1657)	Prec@1 39.844 (45.269)	Prec@5 72.656 (75.937)
Epoch: [52][3790/14090]	Time 0.847 (0.764)	Data 0.001 (0.002)	Loss 2.1139 (2.1658)	Prec@1 45.312 (45.265)	Prec@5 73.438 (75.930)
Epoch: [52][3800/14090]	Time 0.744 (0.763)	Data 0.001 (0.002)	Loss 2.2283 (2.1658)	Prec@1 41.406 (45.260)	Prec@5 75.781 (75.930)
Epoch: [52][3810/14090]	Time 0.776 (0.763)	Data 0.001 (0.002)	Loss 2.1959 (2.1656)	Prec@1 45.312 (45.262)	Prec@5 76.562 (75.932)
Epoch: [52][3820/14090]	Time 0.742 (0.763)	Data 0.001 (0.002)	Loss 2.2041 (2.1656)	Prec@1 39.844 (45.258)	Prec@5 76.562 (75.936)
Epoch: [52][3830/14090]	Time 0.793 (0.764)	Data 0.001 (0.002)	Loss 1.9589 (2.1656)	Prec@1 49.219 (45.259)	Prec@5 79.688 (75.933)
Epoch: [52][3840/14090]	Time 0.737 (0.764)	Data 0.001 (0.002)	Loss 2.2241 (2.1658)	Prec@1 48.438 (45.252)	Prec@5 76.562 (75.931)
Epoch: [52][3850/14090]	Time 0.752 (0.763)	Data 0.001 (0.002)	Loss 2.4198 (2.1660)	Prec@1 41.406 (45.250)	Prec@5 71.094 (75.927)
Epoch: [52][3860/14090]	Time 0.786 (0.763)	Data 0.001 (0.002)	Loss 2.2781 (2.1659)	Prec@1 44.531 (45.247)	Prec@5 75.781 (75.928)
Epoch: [52][3870/14090]	Time 0.770 (0.763)	Data 0.001 (0.002)	Loss 1.7917 (2.1658)	Prec@1 58.594 (45.250)	Prec@5 82.031 (75.931)
Epoch: [52][3880/14090]	Time 0.766 (0.763)	Data 0.001 (0.002)	Loss 2.1304 (2.1658)	Prec@1 42.969 (45.247)	Prec@5 79.688 (75.931)
Epoch: [52][3890/14090]	Time 0.764 (0.763)	Data 0.001 (0.002)	Loss 1.8589 (2.1660)	Prec@1 53.906 (45.244)	Prec@5 82.812 (75.926)
Epoch: [52][3900/14090]	Time 0.768 (0.763)	Data 0.001 (0.002)	Loss 2.0057 (2.1663)	Prec@1 47.656 (45.239)	Prec@5 78.125 (75.920)
Epoch: [52][3910/14090]	Time 0.728 (0.763)	Data 0.001 (0.002)	Loss 2.2834 (2.1664)	Prec@1 46.875 (45.239)	Prec@5 75.000 (75.916)
Epoch: [52][3920/14090]	Time 0.737 (0.763)	Data 0.001 (0.002)	Loss 2.0761 (2.1664)	Prec@1 42.969 (45.235)	Prec@5 78.125 (75.918)
Epoch: [52][3930/14090]	Time 0.811 (0.763)	Data 0.001 (0.002)	Loss 2.6350 (2.1666)	Prec@1 30.469 (45.230)	Prec@5 66.406 (75.914)
Epoch: [52][3940/14090]	Time 0.729 (0.763)	Data 0.001 (0.002)	Loss 1.8580 (2.1662)	Prec@1 50.000 (45.234)	Prec@5 84.375 (75.927)
Epoch: [52][3950/14090]	Time 0.748 (0.763)	Data 0.002 (0.002)	Loss 2.1277 (2.1662)	Prec@1 42.188 (45.230)	Prec@5 75.781 (75.929)
Epoch: [52][3960/14090]	Time 0.783 (0.763)	Data 0.001 (0.002)	Loss 2.2025 (2.1664)	Prec@1 41.406 (45.224)	Prec@5 73.438 (75.926)
Epoch: [52][3970/14090]	Time 0.730 (0.763)	Data 0.001 (0.002)	Loss 2.3213 (2.1665)	Prec@1 39.844 (45.218)	Prec@5 73.438 (75.926)
Epoch: [52][3980/14090]	Time 0.752 (0.763)	Data 0.001 (0.002)	Loss 2.0133 (2.1665)	Prec@1 45.312 (45.218)	Prec@5 80.469 (75.925)
Epoch: [52][3990/14090]	Time 0.740 (0.763)	Data 0.001 (0.002)	Loss 2.4172 (2.1667)	Prec@1 39.844 (45.212)	Prec@5 71.875 (75.924)
Epoch: [52][4000/14090]	Time 0.776 (0.763)	Data 0.001 (0.002)	Loss 2.2995 (2.1669)	Prec@1 42.188 (45.212)	Prec@5 70.312 (75.919)
Epoch: [52][4010/14090]	Time 0.736 (0.763)	Data 0.001 (0.002)	Loss 2.0748 (2.1668)	Prec@1 42.188 (45.215)	Prec@5 74.219 (75.922)
Epoch: [52][4020/14090]	Time 0.731 (0.763)	Data 0.001 (0.002)	Loss 2.2763 (2.1669)	Prec@1 39.062 (45.214)	Prec@5 78.125 (75.922)
Epoch: [52][4030/14090]	Time 0.756 (0.763)	Data 0.001 (0.002)	Loss 2.0811 (2.1670)	Prec@1 50.000 (45.216)	Prec@5 77.344 (75.917)
Epoch: [52][4040/14090]	Time 0.739 (0.763)	Data 0.001 (0.002)	Loss 2.0079 (2.1670)	Prec@1 51.562 (45.214)	Prec@5 80.469 (75.918)
Epoch: [52][4050/14090]	Time 0.758 (0.763)	Data 0.001 (0.002)	Loss 2.3268 (2.1670)	Prec@1 41.406 (45.214)	Prec@5 71.094 (75.916)
Epoch: [52][4060/14090]	Time 0.751 (0.763)	Data 0.001 (0.002)	Loss 2.1413 (2.1671)	Prec@1 42.188 (45.209)	Prec@5 76.562 (75.914)
Epoch: [52][4070/14090]	Time 0.765 (0.763)	Data 0.001 (0.002)	Loss 2.0920 (2.1672)	Prec@1 51.562 (45.209)	Prec@5 74.219 (75.910)
Epoch: [52][4080/14090]	Time 0.743 (0.763)	Data 0.001 (0.002)	Loss 2.2219 (2.1673)	Prec@1 35.938 (45.202)	Prec@5 77.344 (75.906)
Epoch: [52][4090/14090]	Time 0.746 (0.763)	Data 0.001 (0.002)	Loss 1.9394 (2.1672)	Prec@1 46.094 (45.202)	Prec@5 77.344 (75.908)
Epoch: [52][4100/14090]	Time 0.740 (0.763)	Data 0.001 (0.002)	Loss 2.1002 (2.1674)	Prec@1 45.312 (45.200)	Prec@5 77.344 (75.904)
Epoch: [52][4110/14090]	Time 0.772 (0.763)	Data 0.001 (0.002)	Loss 1.9285 (2.1675)	Prec@1 51.562 (45.197)	Prec@5 80.469 (75.903)
Epoch: [52][4120/14090]	Time 0.744 (0.763)	Data 0.001 (0.002)	Loss 2.0715 (2.1678)	Prec@1 46.875 (45.196)	Prec@5 73.438 (75.897)
Epoch: [52][4130/14090]	Time 0.726 (0.763)	Data 0.001 (0.002)	Loss 2.2548 (2.1677)	Prec@1 42.969 (45.196)	Prec@5 73.438 (75.899)
Epoch: [52][4140/14090]	Time 0.837 (0.763)	Data 0.001 (0.002)	Loss 1.8904 (2.1677)	Prec@1 52.344 (45.195)	Prec@5 78.906 (75.898)
Epoch: [52][4150/14090]	Time 0.753 (0.763)	Data 0.001 (0.002)	Loss 2.3576 (2.1678)	Prec@1 37.500 (45.197)	Prec@5 71.875 (75.895)
Epoch: [52][4160/14090]	Time 0.770 (0.763)	Data 0.001 (0.002)	Loss 2.1891 (2.1678)	Prec@1 43.750 (45.198)	Prec@5 75.781 (75.894)
Epoch: [52][4170/14090]	Time 0.778 (0.763)	Data 0.001 (0.002)	Loss 2.1193 (2.1676)	Prec@1 49.219 (45.197)	Prec@5 78.125 (75.898)
Epoch: [52][4180/14090]	Time 0.754 (0.763)	Data 0.001 (0.002)	Loss 2.2421 (2.1677)	Prec@1 48.438 (45.197)	Prec@5 71.875 (75.894)
Epoch: [52][4190/14090]	Time 0.738 (0.763)	Data 0.001 (0.002)	Loss 2.1303 (2.1678)	Prec@1 46.094 (45.194)	Prec@5 77.344 (75.893)
Epoch: [52][4200/14090]	Time 0.738 (0.763)	Data 0.001 (0.002)	Loss 2.0278 (2.1677)	Prec@1 46.094 (45.197)	Prec@5 81.250 (75.894)
Epoch: [52][4210/14090]	Time 0.836 (0.763)	Data 0.001 (0.002)	Loss 2.3687 (2.1677)	Prec@1 39.062 (45.196)	Prec@5 75.000 (75.893)
Epoch: [52][4220/14090]	Time 0.740 (0.763)	Data 0.001 (0.002)	Loss 2.1150 (2.1677)	Prec@1 48.438 (45.198)	Prec@5 76.562 (75.893)
Epoch: [52][4230/14090]	Time 0.758 (0.763)	Data 0.001 (0.002)	Loss 2.1323 (2.1676)	Prec@1 47.656 (45.201)	Prec@5 78.906 (75.896)
Epoch: [52][4240/14090]	Time 0.737 (0.763)	Data 0.001 (0.002)	Loss 2.5604 (2.1679)	Prec@1 39.844 (45.193)	Prec@5 67.969 (75.888)
Epoch: [52][4250/14090]	Time 0.740 (0.763)	Data 0.001 (0.002)	Loss 1.9313 (2.1681)	Prec@1 50.781 (45.194)	Prec@5 82.031 (75.885)
Epoch: [52][4260/14090]	Time 0.750 (0.763)	Data 0.001 (0.002)	Loss 2.1333 (2.1679)	Prec@1 52.344 (45.198)	Prec@5 73.438 (75.886)
Epoch: [52][4270/14090]	Time 0.734 (0.763)	Data 0.001 (0.002)	Loss 2.1329 (2.1680)	Prec@1 51.562 (45.196)	Prec@5 77.344 (75.885)
Epoch: [52][4280/14090]	Time 0.816 (0.763)	Data 0.001 (0.002)	Loss 2.1239 (2.1679)	Prec@1 51.562 (45.198)	Prec@5 77.344 (75.888)
Epoch: [52][4290/14090]	Time 0.730 (0.763)	Data 0.001 (0.002)	Loss 2.1404 (2.1680)	Prec@1 44.531 (45.193)	Prec@5 74.219 (75.886)
Epoch: [52][4300/14090]	Time 0.768 (0.763)	Data 0.001 (0.002)	Loss 2.0803 (2.1681)	Prec@1 46.875 (45.193)	Prec@5 77.344 (75.884)
Epoch: [52][4310/14090]	Time 0.747 (0.763)	Data 0.001 (0.002)	Loss 2.1707 (2.1683)	Prec@1 49.219 (45.191)	Prec@5 73.438 (75.877)
Epoch: [52][4320/14090]	Time 0.752 (0.763)	Data 0.001 (0.002)	Loss 2.1601 (2.1685)	Prec@1 44.531 (45.189)	Prec@5 75.781 (75.875)
Epoch: [52][4330/14090]	Time 0.758 (0.763)	Data 0.001 (0.002)	Loss 2.4709 (2.1688)	Prec@1 42.188 (45.184)	Prec@5 71.094 (75.869)
Epoch: [52][4340/14090]	Time 0.729 (0.763)	Data 0.001 (0.002)	Loss 2.2776 (2.1688)	Prec@1 43.750 (45.179)	Prec@5 77.344 (75.871)
Epoch: [52][4350/14090]	Time 0.816 (0.763)	Data 0.001 (0.002)	Loss 2.1979 (2.1688)	Prec@1 46.875 (45.181)	Prec@5 72.656 (75.867)
Epoch: [52][4360/14090]	Time 0.756 (0.763)	Data 0.001 (0.002)	Loss 2.1154 (2.1687)	Prec@1 43.750 (45.183)	Prec@5 72.656 (75.865)
Epoch: [52][4370/14090]	Time 0.729 (0.763)	Data 0.001 (0.002)	Loss 2.1455 (2.1686)	Prec@1 49.219 (45.185)	Prec@5 72.656 (75.866)
Epoch: [52][4380/14090]	Time 0.735 (0.763)	Data 0.001 (0.002)	Loss 2.0677 (2.1685)	Prec@1 48.438 (45.188)	Prec@5 75.781 (75.868)
Epoch: [52][4390/14090]	Time 0.722 (0.763)	Data 0.001 (0.002)	Loss 2.0703 (2.1684)	Prec@1 43.750 (45.188)	Prec@5 77.344 (75.870)
Epoch: [52][4400/14090]	Time 0.755 (0.763)	Data 0.001 (0.002)	Loss 1.8586 (2.1684)	Prec@1 49.219 (45.184)	Prec@5 81.250 (75.868)
Epoch: [52][4410/14090]	Time 0.784 (0.763)	Data 0.001 (0.002)	Loss 2.1350 (2.1684)	Prec@1 45.312 (45.181)	Prec@5 75.781 (75.870)
Epoch: [52][4420/14090]	Time 0.793 (0.763)	Data 0.001 (0.002)	Loss 1.9580 (2.1684)	Prec@1 47.656 (45.183)	Prec@5 79.688 (75.872)
Epoch: [52][4430/14090]	Time 0.726 (0.763)	Data 0.001 (0.002)	Loss 2.1115 (2.1684)	Prec@1 41.406 (45.181)	Prec@5 75.781 (75.869)
Epoch: [52][4440/14090]	Time 0.742 (0.763)	Data 0.001 (0.002)	Loss 2.1401 (2.1684)	Prec@1 39.062 (45.178)	Prec@5 80.469 (75.871)
Epoch: [52][4450/14090]	Time 0.779 (0.763)	Data 0.001 (0.002)	Loss 2.1356 (2.1683)	Prec@1 49.219 (45.181)	Prec@5 75.781 (75.872)
Epoch: [52][4460/14090]	Time 0.730 (0.763)	Data 0.001 (0.002)	Loss 2.2222 (2.1685)	Prec@1 44.531 (45.179)	Prec@5 74.219 (75.872)
Epoch: [52][4470/14090]	Time 0.722 (0.763)	Data 0.001 (0.002)	Loss 2.3418 (2.1683)	Prec@1 44.531 (45.178)	Prec@5 72.656 (75.874)
Epoch: [52][4480/14090]	Time 0.737 (0.763)	Data 0.001 (0.002)	Loss 2.2123 (2.1685)	Prec@1 44.531 (45.178)	Prec@5 75.781 (75.871)
Epoch: [52][4490/14090]	Time 0.791 (0.763)	Data 0.001 (0.002)	Loss 2.3181 (2.1685)	Prec@1 43.750 (45.179)	Prec@5 75.781 (75.871)
Epoch: [52][4500/14090]	Time 0.749 (0.763)	Data 0.001 (0.002)	Loss 2.4661 (2.1686)	Prec@1 41.406 (45.180)	Prec@5 68.750 (75.869)
Epoch: [52][4510/14090]	Time 0.722 (0.763)	Data 0.001 (0.002)	Loss 2.1627 (2.1688)	Prec@1 47.656 (45.176)	Prec@5 77.344 (75.866)
Epoch: [52][4520/14090]	Time 0.746 (0.763)	Data 0.001 (0.002)	Loss 2.2133 (2.1687)	Prec@1 42.188 (45.177)	Prec@5 77.344 (75.868)
Epoch: [52][4530/14090]	Time 0.731 (0.763)	Data 0.001 (0.002)	Loss 2.1870 (2.1687)	Prec@1 45.312 (45.177)	Prec@5 74.219 (75.870)
Epoch: [52][4540/14090]	Time 0.742 (0.763)	Data 0.001 (0.002)	Loss 2.2141 (2.1686)	Prec@1 48.438 (45.178)	Prec@5 73.438 (75.874)
Epoch: [52][4550/14090]	Time 0.758 (0.763)	Data 0.001 (0.002)	Loss 2.2578 (2.1685)	Prec@1 46.094 (45.181)	Prec@5 75.000 (75.877)
Epoch: [52][4560/14090]	Time 0.814 (0.763)	Data 0.001 (0.002)	Loss 2.2369 (2.1685)	Prec@1 46.875 (45.183)	Prec@5 71.094 (75.878)
Epoch: [52][4570/14090]	Time 0.777 (0.763)	Data 0.003 (0.002)	Loss 2.0323 (2.1684)	Prec@1 47.656 (45.185)	Prec@5 75.781 (75.880)
Epoch: [52][4580/14090]	Time 0.739 (0.763)	Data 0.001 (0.002)	Loss 2.4636 (2.1685)	Prec@1 35.156 (45.182)	Prec@5 70.312 (75.875)
Epoch: [52][4590/14090]	Time 0.742 (0.763)	Data 0.001 (0.002)	Loss 2.1119 (2.1686)	Prec@1 50.781 (45.182)	Prec@5 71.875 (75.871)
Epoch: [52][4600/14090]	Time 0.751 (0.763)	Data 0.001 (0.002)	Loss 2.1460 (2.1687)	Prec@1 45.312 (45.180)	Prec@5 75.781 (75.869)
Epoch: [52][4610/14090]	Time 0.754 (0.763)	Data 0.002 (0.002)	Loss 2.0864 (2.1686)	Prec@1 42.188 (45.182)	Prec@5 77.344 (75.868)
Epoch: [52][4620/14090]	Time 0.738 (0.763)	Data 0.001 (0.002)	Loss 2.1502 (2.1685)	Prec@1 44.531 (45.188)	Prec@5 75.000 (75.868)
Epoch: [52][4630/14090]	Time 0.836 (0.763)	Data 0.001 (0.002)	Loss 2.2726 (2.1685)	Prec@1 42.969 (45.188)	Prec@5 71.875 (75.868)
Epoch: [52][4640/14090]	Time 0.777 (0.763)	Data 0.001 (0.002)	Loss 1.7936 (2.1684)	Prec@1 46.094 (45.187)	Prec@5 83.594 (75.873)
Epoch: [52][4650/14090]	Time 0.739 (0.763)	Data 0.001 (0.002)	Loss 2.2349 (2.1685)	Prec@1 44.531 (45.187)	Prec@5 76.562 (75.869)
Epoch: [52][4660/14090]	Time 0.772 (0.763)	Data 0.001 (0.002)	Loss 2.0392 (2.1686)	Prec@1 53.125 (45.188)	Prec@5 78.125 (75.866)
Epoch: [52][4670/14090]	Time 0.749 (0.763)	Data 0.001 (0.002)	Loss 2.5983 (2.1688)	Prec@1 35.156 (45.183)	Prec@5 71.875 (75.864)
Epoch: [52][4680/14090]	Time 0.730 (0.763)	Data 0.001 (0.002)	Loss 2.2680 (2.1688)	Prec@1 39.844 (45.180)	Prec@5 76.562 (75.865)
Epoch: [52][4690/14090]	Time 0.743 (0.763)	Data 0.001 (0.002)	Loss 2.2063 (2.1690)	Prec@1 43.750 (45.178)	Prec@5 75.781 (75.860)
Epoch: [52][4700/14090]	Time 0.767 (0.763)	Data 0.001 (0.002)	Loss 2.4811 (2.1689)	Prec@1 40.625 (45.183)	Prec@5 70.312 (75.859)
Epoch: [52][4710/14090]	Time 0.750 (0.763)	Data 0.001 (0.002)	Loss 2.1793 (2.1690)	Prec@1 47.656 (45.182)	Prec@5 74.219 (75.856)
Epoch: [52][4720/14090]	Time 0.743 (0.763)	Data 0.001 (0.002)	Loss 2.4606 (2.1691)	Prec@1 42.188 (45.182)	Prec@5 68.750 (75.853)
Epoch: [52][4730/14090]	Time 0.745 (0.763)	Data 0.001 (0.002)	Loss 2.1702 (2.1691)	Prec@1 44.531 (45.178)	Prec@5 78.906 (75.851)
Epoch: [52][4740/14090]	Time 0.725 (0.763)	Data 0.001 (0.002)	Loss 2.3997 (2.1692)	Prec@1 37.500 (45.175)	Prec@5 71.094 (75.847)
Epoch: [52][4750/14090]	Time 0.783 (0.763)	Data 0.001 (0.002)	Loss 2.3635 (2.1692)	Prec@1 40.625 (45.174)	Prec@5 75.000 (75.847)
Epoch: [52][4760/14090]	Time 0.751 (0.763)	Data 0.001 (0.002)	Loss 1.8138 (2.1690)	Prec@1 57.031 (45.182)	Prec@5 82.031 (75.849)
Epoch: [52][4770/14090]	Time 0.797 (0.763)	Data 0.002 (0.002)	Loss 2.2214 (2.1692)	Prec@1 44.531 (45.180)	Prec@5 70.312 (75.848)
Epoch: [52][4780/14090]	Time 0.772 (0.763)	Data 0.001 (0.002)	Loss 2.2588 (2.1691)	Prec@1 46.094 (45.185)	Prec@5 72.656 (75.850)
Epoch: [52][4790/14090]	Time 0.727 (0.763)	Data 0.001 (0.002)	Loss 2.2092 (2.1690)	Prec@1 42.188 (45.184)	Prec@5 75.781 (75.853)
Epoch: [52][4800/14090]	Time 0.741 (0.763)	Data 0.001 (0.002)	Loss 2.2381 (2.1691)	Prec@1 39.062 (45.183)	Prec@5 72.656 (75.851)
Epoch: [52][4810/14090]	Time 0.788 (0.763)	Data 0.001 (0.002)	Loss 2.3665 (2.1691)	Prec@1 39.844 (45.180)	Prec@5 73.438 (75.851)
Epoch: [52][4820/14090]	Time 0.739 (0.763)	Data 0.001 (0.002)	Loss 2.2106 (2.1692)	Prec@1 47.656 (45.181)	Prec@5 68.750 (75.849)
Epoch: [52][4830/14090]	Time 0.744 (0.763)	Data 0.001 (0.002)	Loss 1.9771 (2.1691)	Prec@1 53.125 (45.186)	Prec@5 78.906 (75.850)
Epoch: [52][4840/14090]	Time 0.811 (0.763)	Data 0.001 (0.002)	Loss 1.8825 (2.1690)	Prec@1 56.250 (45.188)	Prec@5 82.812 (75.854)
Epoch: [52][4850/14090]	Time 0.758 (0.763)	Data 0.001 (0.002)	Loss 2.1810 (2.1693)	Prec@1 38.281 (45.183)	Prec@5 76.562 (75.847)
Epoch: [52][4860/14090]	Time 0.725 (0.763)	Data 0.001 (0.002)	Loss 2.1625 (2.1694)	Prec@1 46.875 (45.183)	Prec@5 74.219 (75.847)
Epoch: [52][4870/14090]	Time 0.735 (0.763)	Data 0.001 (0.002)	Loss 1.7480 (2.1694)	Prec@1 52.344 (45.183)	Prec@5 81.250 (75.847)
Epoch: [52][4880/14090]	Time 0.745 (0.763)	Data 0.001 (0.002)	Loss 2.1016 (2.1695)	Prec@1 47.656 (45.180)	Prec@5 74.219 (75.842)
Epoch: [52][4890/14090]	Time 0.770 (0.763)	Data 0.001 (0.002)	Loss 2.0209 (2.1694)	Prec@1 42.969 (45.183)	Prec@5 76.562 (75.845)
Epoch: [52][4900/14090]	Time 0.760 (0.763)	Data 0.001 (0.002)	Loss 2.1065 (2.1694)	Prec@1 43.750 (45.183)	Prec@5 79.688 (75.846)
Epoch: [52][4910/14090]	Time 0.831 (0.763)	Data 0.001 (0.002)	Loss 2.0464 (2.1694)	Prec@1 56.250 (45.183)	Prec@5 78.906 (75.846)
Epoch: [52][4920/14090]	Time 0.778 (0.763)	Data 0.001 (0.002)	Loss 2.2211 (2.1695)	Prec@1 43.750 (45.178)	Prec@5 77.344 (75.847)
Epoch: [52][4930/14090]	Time 0.751 (0.763)	Data 0.001 (0.002)	Loss 2.2028 (2.1693)	Prec@1 45.312 (45.179)	Prec@5 70.312 (75.849)
Epoch: [52][4940/14090]	Time 0.741 (0.763)	Data 0.001 (0.002)	Loss 2.0726 (2.1693)	Prec@1 53.125 (45.182)	Prec@5 75.000 (75.847)
Epoch: [52][4950/14090]	Time 0.736 (0.763)	Data 0.001 (0.002)	Loss 1.9491 (2.1693)	Prec@1 53.125 (45.183)	Prec@5 78.906 (75.846)
Epoch: [52][4960/14090]	Time 0.762 (0.763)	Data 0.001 (0.002)	Loss 2.2281 (2.1693)	Prec@1 46.875 (45.187)	Prec@5 75.000 (75.846)
Epoch: [52][4970/14090]	Time 0.744 (0.763)	Data 0.001 (0.002)	Loss 2.3116 (2.1695)	Prec@1 38.281 (45.185)	Prec@5 73.438 (75.841)
Epoch: [52][4980/14090]	Time 0.927 (0.763)	Data 0.001 (0.002)	Loss 2.0047 (2.1697)	Prec@1 55.469 (45.186)	Prec@5 77.344 (75.837)
Epoch: [52][4990/14090]	Time 0.737 (0.763)	Data 0.001 (0.002)	Loss 2.2308 (2.1696)	Prec@1 44.531 (45.188)	Prec@5 74.219 (75.836)
Epoch: [52][5000/14090]	Time 0.723 (0.763)	Data 0.001 (0.002)	Loss 2.1861 (2.1697)	Prec@1 42.188 (45.189)	Prec@5 74.219 (75.833)
Epoch: [52][5010/14090]	Time 0.735 (0.763)	Data 0.001 (0.002)	Loss 2.2015 (2.1695)	Prec@1 48.438 (45.193)	Prec@5 75.000 (75.833)
Epoch: [52][5020/14090]	Time 0.765 (0.763)	Data 0.001 (0.002)	Loss 2.3035 (2.1695)	Prec@1 42.188 (45.191)	Prec@5 75.000 (75.834)
Epoch: [52][5030/14090]	Time 0.742 (0.763)	Data 0.001 (0.002)	Loss 2.1858 (2.1694)	Prec@1 41.406 (45.191)	Prec@5 75.000 (75.834)
Epoch: [52][5040/14090]	Time 0.724 (0.763)	Data 0.001 (0.002)	Loss 2.2058 (2.1697)	Prec@1 40.625 (45.186)	Prec@5 76.562 (75.831)
Epoch: [52][5050/14090]	Time 0.806 (0.763)	Data 0.001 (0.002)	Loss 2.1807 (2.1695)	Prec@1 44.531 (45.191)	Prec@5 75.000 (75.833)
Epoch: [52][5060/14090]	Time 0.730 (0.763)	Data 0.001 (0.002)	Loss 1.9464 (2.1694)	Prec@1 50.000 (45.195)	Prec@5 83.594 (75.839)
Epoch: [52][5070/14090]	Time 0.739 (0.763)	Data 0.001 (0.002)	Loss 2.3361 (2.1694)	Prec@1 39.062 (45.195)	Prec@5 68.750 (75.839)
Epoch: [52][5080/14090]	Time 0.730 (0.763)	Data 0.001 (0.002)	Loss 2.1952 (2.1692)	Prec@1 51.562 (45.201)	Prec@5 72.656 (75.841)
Epoch: [52][5090/14090]	Time 0.741 (0.763)	Data 0.001 (0.002)	Loss 1.9621 (2.1690)	Prec@1 48.438 (45.202)	Prec@5 81.250 (75.846)
Epoch: [52][5100/14090]	Time 0.737 (0.763)	Data 0.000 (0.002)	Loss 1.8523 (2.1690)	Prec@1 53.906 (45.205)	Prec@5 78.906 (75.844)
Epoch: [52][5110/14090]	Time 0.733 (0.763)	Data 0.001 (0.002)	Loss 2.0599 (2.1689)	Prec@1 47.656 (45.208)	Prec@5 78.125 (75.845)
Epoch: [52][5120/14090]	Time 0.891 (0.763)	Data 0.001 (0.002)	Loss 2.1244 (2.1690)	Prec@1 42.969 (45.206)	Prec@5 74.219 (75.843)
Epoch: [52][5130/14090]	Time 0.782 (0.763)	Data 0.001 (0.002)	Loss 2.2935 (2.1690)	Prec@1 39.844 (45.205)	Prec@5 71.875 (75.844)
Epoch: [52][5140/14090]	Time 0.746 (0.763)	Data 0.001 (0.002)	Loss 2.3077 (2.1690)	Prec@1 44.531 (45.206)	Prec@5 72.656 (75.841)
Epoch: [52][5150/14090]	Time 0.761 (0.763)	Data 0.001 (0.002)	Loss 1.9745 (2.1689)	Prec@1 46.875 (45.204)	Prec@5 74.219 (75.845)
Epoch: [52][5160/14090]	Time 0.730 (0.763)	Data 0.001 (0.002)	Loss 2.0706 (2.1688)	Prec@1 39.062 (45.206)	Prec@5 81.250 (75.847)
Epoch: [52][5170/14090]	Time 0.733 (0.763)	Data 0.001 (0.002)	Loss 2.2348 (2.1690)	Prec@1 40.625 (45.198)	Prec@5 75.781 (75.844)
Epoch: [52][5180/14090]	Time 0.744 (0.763)	Data 0.001 (0.002)	Loss 1.8023 (2.1690)	Prec@1 50.781 (45.199)	Prec@5 84.375 (75.845)
Epoch: [52][5190/14090]	Time 0.759 (0.763)	Data 0.001 (0.002)	Loss 2.2240 (2.1690)	Prec@1 44.531 (45.201)	Prec@5 72.656 (75.846)
Epoch: [52][5200/14090]	Time 0.738 (0.763)	Data 0.001 (0.002)	Loss 2.5140 (2.1690)	Prec@1 40.625 (45.200)	Prec@5 69.531 (75.844)
Epoch: [52][5210/14090]	Time 0.737 (0.763)	Data 0.001 (0.002)	Loss 2.0488 (2.1690)	Prec@1 45.312 (45.202)	Prec@5 82.031 (75.844)
Epoch: [52][5220/14090]	Time 0.732 (0.763)	Data 0.001 (0.002)	Loss 2.2952 (2.1690)	Prec@1 45.312 (45.201)	Prec@5 78.125 (75.842)
Epoch: [52][5230/14090]	Time 0.746 (0.763)	Data 0.001 (0.002)	Loss 2.2890 (2.1691)	Prec@1 37.500 (45.200)	Prec@5 73.438 (75.840)
Epoch: [52][5240/14090]	Time 0.725 (0.763)	Data 0.001 (0.002)	Loss 2.2371 (2.1691)	Prec@1 44.531 (45.201)	Prec@5 74.219 (75.840)
Epoch: [52][5250/14090]	Time 0.746 (0.763)	Data 0.001 (0.002)	Loss 2.3067 (2.1692)	Prec@1 40.625 (45.204)	Prec@5 75.000 (75.839)
Epoch: [52][5260/14090]	Time 0.786 (0.763)	Data 0.001 (0.002)	Loss 2.1078 (2.1690)	Prec@1 47.656 (45.207)	Prec@5 73.438 (75.838)
Epoch: [52][5270/14090]	Time 0.742 (0.763)	Data 0.001 (0.002)	Loss 2.0971 (2.1689)	Prec@1 49.219 (45.210)	Prec@5 75.781 (75.840)
Epoch: [52][5280/14090]	Time 0.782 (0.763)	Data 0.001 (0.002)	Loss 2.4133 (2.1689)	Prec@1 39.844 (45.212)	Prec@5 71.094 (75.840)
Epoch: [52][5290/14090]	Time 0.745 (0.763)	Data 0.001 (0.002)	Loss 2.5163 (2.1691)	Prec@1 46.094 (45.211)	Prec@5 70.312 (75.837)
Epoch: [52][5300/14090]	Time 0.732 (0.763)	Data 0.001 (0.002)	Loss 1.9534 (2.1691)	Prec@1 47.656 (45.209)	Prec@5 80.469 (75.837)
Epoch: [52][5310/14090]	Time 0.742 (0.763)	Data 0.001 (0.002)	Loss 1.9581 (2.1691)	Prec@1 53.906 (45.211)	Prec@5 78.906 (75.835)
Epoch: [52][5320/14090]	Time 0.723 (0.763)	Data 0.001 (0.002)	Loss 2.4405 (2.1692)	Prec@1 39.062 (45.211)	Prec@5 72.656 (75.835)
Epoch: [52][5330/14090]	Time 0.821 (0.763)	Data 0.001 (0.002)	Loss 2.2111 (2.1692)	Prec@1 42.969 (45.208)	Prec@5 77.344 (75.834)
Epoch: [52][5340/14090]	Time 0.783 (0.763)	Data 0.001 (0.002)	Loss 2.4392 (2.1692)	Prec@1 42.969 (45.208)	Prec@5 68.750 (75.834)
Epoch: [52][5350/14090]	Time 0.728 (0.763)	Data 0.001 (0.002)	Loss 2.2558 (2.1692)	Prec@1 42.969 (45.209)	Prec@5 71.094 (75.836)
Epoch: [52][5360/14090]	Time 0.774 (0.763)	Data 0.001 (0.002)	Loss 2.2053 (2.1693)	Prec@1 44.531 (45.208)	Prec@5 72.656 (75.835)
Epoch: [52][5370/14090]	Time 0.727 (0.763)	Data 0.001 (0.002)	Loss 2.4201 (2.1694)	Prec@1 40.625 (45.206)	Prec@5 73.438 (75.832)
Epoch: [52][5380/14090]	Time 0.751 (0.763)	Data 0.001 (0.002)	Loss 1.9471 (2.1692)	Prec@1 42.969 (45.211)	Prec@5 79.688 (75.835)
Epoch: [52][5390/14090]	Time 0.744 (0.763)	Data 0.001 (0.002)	Loss 2.0617 (2.1693)	Prec@1 46.094 (45.207)	Prec@5 79.688 (75.833)
Epoch: [52][5400/14090]	Time 0.817 (0.763)	Data 0.001 (0.002)	Loss 2.2454 (2.1693)	Prec@1 41.406 (45.208)	Prec@5 73.438 (75.834)
Epoch: [52][5410/14090]	Time 0.723 (0.763)	Data 0.001 (0.002)	Loss 2.1559 (2.1693)	Prec@1 47.656 (45.207)	Prec@5 74.219 (75.835)
Epoch: [52][5420/14090]	Time 0.729 (0.763)	Data 0.001 (0.002)	Loss 2.0808 (2.1694)	Prec@1 42.969 (45.207)	Prec@5 74.219 (75.832)
Epoch: [52][5430/14090]	Time 0.733 (0.763)	Data 0.001 (0.002)	Loss 2.3952 (2.1694)	Prec@1 43.750 (45.205)	Prec@5 75.000 (75.831)
Epoch: [52][5440/14090]	Time 0.772 (0.763)	Data 0.001 (0.002)	Loss 2.1092 (2.1696)	Prec@1 42.969 (45.202)	Prec@5 74.219 (75.829)
Epoch: [52][5450/14090]	Time 0.733 (0.763)	Data 0.003 (0.002)	Loss 2.3787 (2.1698)	Prec@1 42.188 (45.198)	Prec@5 67.188 (75.826)
Epoch: [52][5460/14090]	Time 0.746 (0.763)	Data 0.001 (0.002)	Loss 2.1473 (2.1697)	Prec@1 42.969 (45.196)	Prec@5 75.781 (75.831)
Epoch: [52][5470/14090]	Time 0.835 (0.763)	Data 0.001 (0.002)	Loss 1.9095 (2.1696)	Prec@1 48.438 (45.195)	Prec@5 75.781 (75.830)
Epoch: [52][5480/14090]	Time 0.775 (0.763)	Data 0.001 (0.002)	Loss 2.0096 (2.1695)	Prec@1 46.875 (45.198)	Prec@5 76.562 (75.830)
Epoch: [52][5490/14090]	Time 0.732 (0.763)	Data 0.001 (0.002)	Loss 1.8834 (2.1695)	Prec@1 53.125 (45.200)	Prec@5 79.688 (75.830)
Epoch: [52][5500/14090]	Time 0.747 (0.763)	Data 0.001 (0.002)	Loss 2.0571 (2.1696)	Prec@1 46.875 (45.199)	Prec@5 75.781 (75.828)
Epoch: [52][5510/14090]	Time 0.757 (0.763)	Data 0.001 (0.002)	Loss 2.1344 (2.1695)	Prec@1 50.000 (45.204)	Prec@5 75.781 (75.828)
Epoch: [52][5520/14090]	Time 0.749 (0.763)	Data 0.002 (0.002)	Loss 2.0992 (2.1697)	Prec@1 51.562 (45.200)	Prec@5 78.906 (75.826)
Epoch: [52][5530/14090]	Time 0.736 (0.763)	Data 0.001 (0.002)	Loss 2.1436 (2.1698)	Prec@1 46.875 (45.201)	Prec@5 76.562 (75.824)
Epoch: [52][5540/14090]	Time 0.810 (0.763)	Data 0.001 (0.002)	Loss 2.3893 (2.1700)	Prec@1 39.844 (45.195)	Prec@5 69.531 (75.820)
Epoch: [52][5550/14090]	Time 0.764 (0.763)	Data 0.001 (0.002)	Loss 2.0926 (2.1699)	Prec@1 44.531 (45.197)	Prec@5 75.000 (75.820)
Epoch: [52][5560/14090]	Time 0.741 (0.763)	Data 0.001 (0.002)	Loss 2.0836 (2.1700)	Prec@1 42.969 (45.194)	Prec@5 75.000 (75.818)
Epoch: [52][5570/14090]	Time 0.753 (0.763)	Data 0.001 (0.002)	Loss 1.9514 (2.1701)	Prec@1 49.219 (45.192)	Prec@5 79.688 (75.819)
Epoch: [52][5580/14090]	Time 0.748 (0.763)	Data 0.001 (0.002)	Loss 2.2243 (2.1701)	Prec@1 42.969 (45.190)	Prec@5 78.906 (75.819)
Epoch: [52][5590/14090]	Time 0.764 (0.763)	Data 0.001 (0.002)	Loss 2.0896 (2.1701)	Prec@1 46.094 (45.189)	Prec@5 82.031 (75.820)
Epoch: [52][5600/14090]	Time 0.759 (0.763)	Data 0.001 (0.002)	Loss 2.1693 (2.1701)	Prec@1 47.656 (45.189)	Prec@5 74.219 (75.819)
Epoch: [52][5610/14090]	Time 0.808 (0.762)	Data 0.001 (0.002)	Loss 2.0229 (2.1700)	Prec@1 47.656 (45.191)	Prec@5 79.688 (75.820)
Epoch: [52][5620/14090]	Time 0.733 (0.762)	Data 0.001 (0.002)	Loss 2.3722 (2.1700)	Prec@1 42.969 (45.189)	Prec@5 73.438 (75.820)
Epoch: [52][5630/14090]	Time 0.780 (0.762)	Data 0.001 (0.002)	Loss 2.1443 (2.1700)	Prec@1 42.188 (45.189)	Prec@5 74.219 (75.821)
Epoch: [52][5640/14090]	Time 0.781 (0.762)	Data 0.001 (0.002)	Loss 2.3476 (2.1700)	Prec@1 44.531 (45.188)	Prec@5 71.094 (75.820)
Epoch: [52][5650/14090]	Time 0.752 (0.762)	Data 0.001 (0.002)	Loss 2.0058 (2.1699)	Prec@1 48.438 (45.188)	Prec@5 78.906 (75.822)
Epoch: [52][5660/14090]	Time 0.728 (0.762)	Data 0.001 (0.002)	Loss 2.2578 (2.1700)	Prec@1 42.188 (45.187)	Prec@5 72.656 (75.820)
Epoch: [52][5670/14090]	Time 0.777 (0.762)	Data 0.001 (0.002)	Loss 2.2215 (2.1701)	Prec@1 47.656 (45.187)	Prec@5 71.875 (75.818)
Epoch: [52][5680/14090]	Time 0.826 (0.762)	Data 0.001 (0.002)	Loss 2.1489 (2.1701)	Prec@1 46.094 (45.188)	Prec@5 74.219 (75.818)
Epoch: [52][5690/14090]	Time 0.749 (0.762)	Data 0.001 (0.002)	Loss 2.2437 (2.1700)	Prec@1 46.094 (45.190)	Prec@5 77.344 (75.821)
Epoch: [52][5700/14090]	Time 0.721 (0.762)	Data 0.001 (0.002)	Loss 2.2101 (2.1699)	Prec@1 44.531 (45.193)	Prec@5 73.438 (75.820)
Epoch: [52][5710/14090]	Time 0.746 (0.762)	Data 0.001 (0.002)	Loss 2.6042 (2.1700)	Prec@1 40.625 (45.196)	Prec@5 67.969 (75.820)
Epoch: [52][5720/14090]	Time 0.751 (0.762)	Data 0.001 (0.002)	Loss 2.0784 (2.1700)	Prec@1 45.312 (45.194)	Prec@5 77.344 (75.820)
Epoch: [52][5730/14090]	Time 0.734 (0.762)	Data 0.001 (0.002)	Loss 2.0813 (2.1698)	Prec@1 45.312 (45.197)	Prec@5 76.562 (75.824)
Epoch: [52][5740/14090]	Time 0.765 (0.762)	Data 0.001 (0.002)	Loss 2.1026 (2.1698)	Prec@1 43.750 (45.196)	Prec@5 76.562 (75.823)
Epoch: [52][5750/14090]	Time 0.793 (0.762)	Data 0.001 (0.002)	Loss 2.5169 (2.1699)	Prec@1 35.156 (45.195)	Prec@5 71.094 (75.824)
Epoch: [52][5760/14090]	Time 0.780 (0.762)	Data 0.001 (0.002)	Loss 2.0957 (2.1698)	Prec@1 48.438 (45.200)	Prec@5 73.438 (75.822)
Epoch: [52][5770/14090]	Time 0.755 (0.762)	Data 0.001 (0.002)	Loss 1.9575 (2.1699)	Prec@1 49.219 (45.199)	Prec@5 79.688 (75.820)
Epoch: [52][5780/14090]	Time 0.726 (0.762)	Data 0.001 (0.002)	Loss 2.2647 (2.1700)	Prec@1 46.094 (45.198)	Prec@5 69.531 (75.818)
Epoch: [52][5790/14090]	Time 0.752 (0.762)	Data 0.001 (0.002)	Loss 2.5637 (2.1699)	Prec@1 32.812 (45.194)	Prec@5 77.344 (75.821)
Epoch: [52][5800/14090]	Time 0.738 (0.762)	Data 0.001 (0.002)	Loss 2.1635 (2.1700)	Prec@1 46.875 (45.194)	Prec@5 77.344 (75.820)
Epoch: [52][5810/14090]	Time 0.762 (0.762)	Data 0.001 (0.002)	Loss 2.1586 (2.1701)	Prec@1 52.344 (45.192)	Prec@5 78.125 (75.820)
Epoch: [52][5820/14090]	Time 0.991 (0.762)	Data 0.001 (0.002)	Loss 2.1452 (2.1701)	Prec@1 42.969 (45.195)	Prec@5 77.344 (75.819)
Epoch: [52][5830/14090]	Time 0.745 (0.762)	Data 0.001 (0.002)	Loss 2.1341 (2.1703)	Prec@1 44.531 (45.194)	Prec@5 75.000 (75.816)
Epoch: [52][5840/14090]	Time 0.735 (0.762)	Data 0.001 (0.002)	Loss 2.2698 (2.1704)	Prec@1 43.750 (45.190)	Prec@5 71.094 (75.815)
Epoch: [52][5850/14090]	Time 0.744 (0.762)	Data 0.001 (0.002)	Loss 2.3947 (2.1704)	Prec@1 39.844 (45.191)	Prec@5 77.344 (75.816)
Epoch: [52][5860/14090]	Time 0.724 (0.762)	Data 0.001 (0.002)	Loss 2.2771 (2.1704)	Prec@1 45.312 (45.193)	Prec@5 71.875 (75.816)
Epoch: [52][5870/14090]	Time 0.768 (0.762)	Data 0.001 (0.002)	Loss 2.0948 (2.1702)	Prec@1 50.781 (45.200)	Prec@5 76.562 (75.821)
Epoch: [52][5880/14090]	Time 0.743 (0.762)	Data 0.001 (0.002)	Loss 2.3891 (2.1703)	Prec@1 42.188 (45.198)	Prec@5 74.219 (75.821)
Epoch: [52][5890/14090]	Time 0.780 (0.762)	Data 0.001 (0.002)	Loss 2.2435 (2.1702)	Prec@1 50.000 (45.200)	Prec@5 72.656 (75.821)
Epoch: [52][5900/14090]	Time 0.778 (0.762)	Data 0.001 (0.002)	Loss 1.9002 (2.1701)	Prec@1 52.344 (45.202)	Prec@5 82.812 (75.823)
Epoch: [52][5910/14090]	Time 0.733 (0.762)	Data 0.001 (0.002)	Loss 2.2513 (2.1702)	Prec@1 45.312 (45.201)	Prec@5 74.219 (75.819)
Epoch: [52][5920/14090]	Time 0.776 (0.762)	Data 0.001 (0.002)	Loss 2.0012 (2.1702)	Prec@1 53.906 (45.202)	Prec@5 73.438 (75.818)
Epoch: [52][5930/14090]	Time 0.746 (0.762)	Data 0.001 (0.002)	Loss 2.3092 (2.1704)	Prec@1 47.656 (45.198)	Prec@5 72.656 (75.815)
Epoch: [52][5940/14090]	Time 0.745 (0.762)	Data 0.001 (0.002)	Loss 2.2609 (2.1705)	Prec@1 48.438 (45.197)	Prec@5 76.562 (75.814)
Epoch: [52][5950/14090]	Time 0.730 (0.762)	Data 0.001 (0.002)	Loss 2.0260 (2.1705)	Prec@1 50.781 (45.196)	Prec@5 75.781 (75.814)
Epoch: [52][5960/14090]	Time 0.933 (0.762)	Data 0.001 (0.002)	Loss 2.1862 (2.1705)	Prec@1 38.281 (45.197)	Prec@5 78.125 (75.813)
Epoch: [52][5970/14090]	Time 0.777 (0.762)	Data 0.001 (0.002)	Loss 2.3703 (2.1706)	Prec@1 40.625 (45.198)	Prec@5 71.875 (75.810)
Epoch: [52][5980/14090]	Time 0.754 (0.762)	Data 0.001 (0.002)	Loss 1.8612 (2.1706)	Prec@1 52.344 (45.196)	Prec@5 78.125 (75.806)
Epoch: [52][5990/14090]	Time 0.773 (0.762)	Data 0.001 (0.002)	Loss 2.0301 (2.1707)	Prec@1 50.781 (45.194)	Prec@5 78.906 (75.805)
Epoch: [52][6000/14090]	Time 0.771 (0.762)	Data 0.001 (0.002)	Loss 2.2698 (2.1706)	Prec@1 44.531 (45.194)	Prec@5 70.312 (75.805)
Epoch: [52][6010/14090]	Time 0.756 (0.762)	Data 0.001 (0.002)	Loss 1.9708 (2.1705)	Prec@1 50.000 (45.197)	Prec@5 79.688 (75.805)
Epoch: [52][6020/14090]	Time 0.725 (0.762)	Data 0.001 (0.002)	Loss 2.0643 (2.1706)	Prec@1 48.438 (45.198)	Prec@5 75.781 (75.802)
Epoch: [52][6030/14090]	Time 0.796 (0.762)	Data 0.001 (0.002)	Loss 2.2640 (2.1705)	Prec@1 35.938 (45.198)	Prec@5 72.656 (75.801)
Epoch: [52][6040/14090]	Time 0.764 (0.762)	Data 0.001 (0.002)	Loss 2.0612 (2.1706)	Prec@1 44.531 (45.197)	Prec@5 80.469 (75.800)
Epoch: [52][6050/14090]	Time 0.760 (0.762)	Data 0.001 (0.002)	Loss 2.0368 (2.1704)	Prec@1 45.312 (45.199)	Prec@5 82.031 (75.803)
Epoch: [52][6060/14090]	Time 0.756 (0.762)	Data 0.001 (0.002)	Loss 2.1003 (2.1704)	Prec@1 47.656 (45.198)	Prec@5 81.250 (75.806)
Epoch: [52][6070/14090]	Time 0.777 (0.762)	Data 0.001 (0.002)	Loss 2.3090 (2.1705)	Prec@1 41.406 (45.195)	Prec@5 71.094 (75.804)
Epoch: [52][6080/14090]	Time 0.751 (0.762)	Data 0.001 (0.002)	Loss 1.9478 (2.1706)	Prec@1 46.875 (45.194)	Prec@5 82.812 (75.804)
Epoch: [52][6090/14090]	Time 0.778 (0.762)	Data 0.001 (0.002)	Loss 2.1653 (2.1707)	Prec@1 42.188 (45.194)	Prec@5 75.781 (75.803)
Epoch: [52][6100/14090]	Time 0.806 (0.762)	Data 0.001 (0.002)	Loss 2.2575 (2.1708)	Prec@1 40.625 (45.188)	Prec@5 77.344 (75.800)
Epoch: [52][6110/14090]	Time 0.754 (0.762)	Data 0.001 (0.002)	Loss 2.5012 (2.1708)	Prec@1 37.500 (45.187)	Prec@5 71.875 (75.799)
Epoch: [52][6120/14090]	Time 0.742 (0.762)	Data 0.001 (0.002)	Loss 2.2282 (2.1708)	Prec@1 47.656 (45.187)	Prec@5 75.781 (75.799)
Epoch: [52][6130/14090]	Time 0.768 (0.762)	Data 0.001 (0.002)	Loss 2.0554 (2.1708)	Prec@1 47.656 (45.190)	Prec@5 81.250 (75.799)
Epoch: [52][6140/14090]	Time 0.770 (0.762)	Data 0.001 (0.002)	Loss 2.4905 (2.1707)	Prec@1 39.844 (45.194)	Prec@5 69.531 (75.802)
Epoch: [52][6150/14090]	Time 0.748 (0.762)	Data 0.001 (0.002)	Loss 2.2449 (2.1708)	Prec@1 42.969 (45.194)	Prec@5 77.344 (75.801)
Epoch: [52][6160/14090]	Time 0.728 (0.762)	Data 0.001 (0.002)	Loss 1.9495 (2.1708)	Prec@1 51.562 (45.193)	Prec@5 78.125 (75.803)
Epoch: [52][6170/14090]	Time 0.839 (0.762)	Data 0.001 (0.002)	Loss 2.1725 (2.1709)	Prec@1 46.875 (45.190)	Prec@5 76.562 (75.797)
Epoch: [52][6180/14090]	Time 0.757 (0.762)	Data 0.001 (0.002)	Loss 2.3438 (2.1710)	Prec@1 44.531 (45.188)	Prec@5 71.875 (75.795)
Epoch: [52][6190/14090]	Time 0.754 (0.762)	Data 0.001 (0.002)	Loss 2.0197 (2.1709)	Prec@1 48.438 (45.188)	Prec@5 72.656 (75.795)
Epoch: [52][6200/14090]	Time 0.747 (0.762)	Data 0.001 (0.002)	Loss 2.3312 (2.1709)	Prec@1 42.188 (45.188)	Prec@5 72.656 (75.793)
Epoch: [52][6210/14090]	Time 0.733 (0.762)	Data 0.001 (0.002)	Loss 2.3221 (2.1710)	Prec@1 36.719 (45.184)	Prec@5 71.875 (75.792)
Epoch: [52][6220/14090]	Time 0.755 (0.762)	Data 0.001 (0.002)	Loss 2.4374 (2.1713)	Prec@1 42.188 (45.181)	Prec@5 66.406 (75.785)
Epoch: [52][6230/14090]	Time 0.785 (0.762)	Data 0.001 (0.002)	Loss 2.2326 (2.1713)	Prec@1 46.875 (45.181)	Prec@5 75.000 (75.784)
Epoch: [52][6240/14090]	Time 0.822 (0.762)	Data 0.001 (0.002)	Loss 2.2719 (2.1712)	Prec@1 39.062 (45.181)	Prec@5 69.531 (75.784)
Epoch: [52][6250/14090]	Time 0.742 (0.762)	Data 0.001 (0.002)	Loss 2.0184 (2.1712)	Prec@1 48.438 (45.181)	Prec@5 77.344 (75.786)
Epoch: [52][6260/14090]	Time 0.751 (0.762)	Data 0.001 (0.002)	Loss 2.1275 (2.1713)	Prec@1 46.094 (45.179)	Prec@5 75.000 (75.782)
Epoch: [52][6270/14090]	Time 0.752 (0.762)	Data 0.001 (0.002)	Loss 2.3731 (2.1713)	Prec@1 39.844 (45.179)	Prec@5 74.219 (75.782)
Epoch: [52][6280/14090]	Time 0.752 (0.762)	Data 0.001 (0.002)	Loss 2.3975 (2.1712)	Prec@1 42.969 (45.182)	Prec@5 71.094 (75.782)
Epoch: [52][6290/14090]	Time 0.742 (0.762)	Data 0.001 (0.002)	Loss 2.0529 (2.1713)	Prec@1 48.438 (45.183)	Prec@5 79.688 (75.783)
Epoch: [52][6300/14090]	Time 0.741 (0.762)	Data 0.001 (0.002)	Loss 2.2244 (2.1713)	Prec@1 42.188 (45.182)	Prec@5 76.562 (75.783)
Epoch: [52][6310/14090]	Time 0.793 (0.762)	Data 0.001 (0.002)	Loss 2.2241 (2.1713)	Prec@1 42.969 (45.184)	Prec@5 69.531 (75.781)
Epoch: [52][6320/14090]	Time 0.766 (0.762)	Data 0.001 (0.002)	Loss 2.1962 (2.1714)	Prec@1 46.094 (45.181)	Prec@5 75.000 (75.782)
Epoch: [52][6330/14090]	Time 0.723 (0.762)	Data 0.001 (0.002)	Loss 1.9141 (2.1713)	Prec@1 52.344 (45.183)	Prec@5 78.906 (75.783)
Epoch: [52][6340/14090]	Time 0.730 (0.762)	Data 0.001 (0.002)	Loss 2.3908 (2.1713)	Prec@1 42.188 (45.184)	Prec@5 74.219 (75.783)
Epoch: [52][6350/14090]	Time 0.752 (0.762)	Data 0.001 (0.002)	Loss 2.0692 (2.1713)	Prec@1 48.438 (45.185)	Prec@5 77.344 (75.784)
Epoch: [52][6360/14090]	Time 0.743 (0.762)	Data 0.001 (0.002)	Loss 2.5446 (2.1714)	Prec@1 34.375 (45.183)	Prec@5 72.656 (75.783)
Epoch: [52][6370/14090]	Time 0.786 (0.762)	Data 0.001 (0.002)	Loss 2.2454 (2.1716)	Prec@1 46.094 (45.181)	Prec@5 73.438 (75.781)
Epoch: [52][6380/14090]	Time 0.786 (0.762)	Data 0.001 (0.002)	Loss 2.1014 (2.1715)	Prec@1 43.750 (45.182)	Prec@5 77.344 (75.782)
Epoch: [52][6390/14090]	Time 0.742 (0.762)	Data 0.001 (0.002)	Loss 1.9404 (2.1715)	Prec@1 46.875 (45.183)	Prec@5 75.781 (75.780)
Epoch: [52][6400/14090]	Time 0.783 (0.762)	Data 0.001 (0.002)	Loss 2.0494 (2.1715)	Prec@1 45.312 (45.184)	Prec@5 77.344 (75.778)
Epoch: [52][6410/14090]	Time 0.753 (0.762)	Data 0.001 (0.002)	Loss 2.1097 (2.1715)	Prec@1 42.969 (45.182)	Prec@5 77.344 (75.778)
Epoch: [52][6420/14090]	Time 0.753 (0.762)	Data 0.001 (0.002)	Loss 2.0315 (2.1715)	Prec@1 50.000 (45.180)	Prec@5 79.688 (75.777)
Epoch: [52][6430/14090]	Time 0.748 (0.762)	Data 0.001 (0.002)	Loss 1.7916 (2.1714)	Prec@1 56.250 (45.180)	Prec@5 79.688 (75.777)
Epoch: [52][6440/14090]	Time 0.733 (0.762)	Data 0.001 (0.002)	Loss 1.8216 (2.1714)	Prec@1 53.125 (45.181)	Prec@5 81.250 (75.779)
Epoch: [52][6450/14090]	Time 0.846 (0.762)	Data 0.001 (0.002)	Loss 2.3517 (2.1714)	Prec@1 47.656 (45.180)	Prec@5 71.094 (75.776)
Epoch: [52][6460/14090]	Time 0.739 (0.762)	Data 0.001 (0.002)	Loss 2.0643 (2.1715)	Prec@1 46.875 (45.178)	Prec@5 81.250 (75.777)
Epoch: [52][6470/14090]	Time 0.732 (0.762)	Data 0.001 (0.002)	Loss 1.9442 (2.1714)	Prec@1 53.906 (45.179)	Prec@5 78.125 (75.775)
Epoch: [52][6480/14090]	Time 0.773 (0.762)	Data 0.001 (0.002)	Loss 2.4075 (2.1716)	Prec@1 35.156 (45.174)	Prec@5 67.969 (75.772)
Epoch: [52][6490/14090]	Time 0.755 (0.762)	Data 0.001 (0.002)	Loss 2.4445 (2.1717)	Prec@1 33.594 (45.174)	Prec@5 73.438 (75.771)
Epoch: [52][6500/14090]	Time 0.759 (0.762)	Data 0.001 (0.002)	Loss 2.2882 (2.1719)	Prec@1 43.750 (45.172)	Prec@5 70.312 (75.768)
Epoch: [52][6510/14090]	Time 0.776 (0.762)	Data 0.001 (0.002)	Loss 2.3218 (2.1719)	Prec@1 38.281 (45.171)	Prec@5 77.344 (75.768)
Epoch: [52][6520/14090]	Time 0.838 (0.762)	Data 0.001 (0.002)	Loss 2.1239 (2.1720)	Prec@1 45.312 (45.169)	Prec@5 75.000 (75.767)
Epoch: [52][6530/14090]	Time 0.774 (0.762)	Data 0.001 (0.002)	Loss 1.8988 (2.1719)	Prec@1 53.125 (45.171)	Prec@5 79.688 (75.768)
Epoch: [52][6540/14090]	Time 0.757 (0.762)	Data 0.001 (0.002)	Loss 1.9741 (2.1719)	Prec@1 44.531 (45.170)	Prec@5 72.656 (75.767)
Epoch: [52][6550/14090]	Time 0.755 (0.762)	Data 0.001 (0.002)	Loss 2.1779 (2.1718)	Prec@1 45.312 (45.172)	Prec@5 75.000 (75.770)
Epoch: [52][6560/14090]	Time 0.767 (0.762)	Data 0.001 (0.002)	Loss 1.9209 (2.1718)	Prec@1 55.469 (45.171)	Prec@5 84.375 (75.770)
Epoch: [52][6570/14090]	Time 0.769 (0.762)	Data 0.001 (0.002)	Loss 2.1750 (2.1718)	Prec@1 43.750 (45.171)	Prec@5 77.344 (75.770)
Epoch: [52][6580/14090]	Time 0.778 (0.762)	Data 0.001 (0.002)	Loss 2.1233 (2.1719)	Prec@1 45.312 (45.171)	Prec@5 75.781 (75.770)
Epoch: [52][6590/14090]	Time 0.847 (0.762)	Data 0.001 (0.002)	Loss 2.4331 (2.1719)	Prec@1 32.031 (45.168)	Prec@5 66.406 (75.770)
Epoch: [52][6600/14090]	Time 0.767 (0.762)	Data 0.001 (0.002)	Loss 2.0345 (2.1719)	Prec@1 45.312 (45.166)	Prec@5 82.812 (75.769)
Epoch: [52][6610/14090]	Time 0.756 (0.762)	Data 0.003 (0.002)	Loss 2.2649 (2.1719)	Prec@1 39.062 (45.165)	Prec@5 75.781 (75.768)
Epoch: [52][6620/14090]	Time 0.768 (0.762)	Data 0.001 (0.002)	Loss 2.2299 (2.1719)	Prec@1 46.094 (45.166)	Prec@5 74.219 (75.770)
Epoch: [52][6630/14090]	Time 0.782 (0.762)	Data 0.001 (0.002)	Loss 2.1213 (2.1718)	Prec@1 47.656 (45.165)	Prec@5 74.219 (75.772)
Epoch: [52][6640/14090]	Time 0.747 (0.762)	Data 0.001 (0.002)	Loss 2.0837 (2.1718)	Prec@1 46.875 (45.167)	Prec@5 81.250 (75.772)
Epoch: [52][6650/14090]	Time 0.737 (0.762)	Data 0.001 (0.002)	Loss 1.9236 (2.1718)	Prec@1 51.562 (45.168)	Prec@5 75.781 (75.771)
Epoch: [52][6660/14090]	Time 0.819 (0.762)	Data 0.001 (0.002)	Loss 2.2109 (2.1718)	Prec@1 44.531 (45.167)	Prec@5 75.781 (75.771)
Epoch: [52][6670/14090]	Time 0.761 (0.762)	Data 0.001 (0.002)	Loss 1.9945 (2.1717)	Prec@1 47.656 (45.166)	Prec@5 82.031 (75.771)
Epoch: [52][6680/14090]	Time 0.754 (0.762)	Data 0.001 (0.002)	Loss 2.4342 (2.1716)	Prec@1 37.500 (45.165)	Prec@5 70.312 (75.774)
Epoch: [52][6690/14090]	Time 0.772 (0.762)	Data 0.001 (0.002)	Loss 2.4904 (2.1716)	Prec@1 41.406 (45.162)	Prec@5 66.406 (75.773)
Epoch: [52][6700/14090]	Time 0.744 (0.762)	Data 0.001 (0.002)	Loss 1.8392 (2.1717)	Prec@1 46.094 (45.160)	Prec@5 83.594 (75.774)
Epoch: [52][6710/14090]	Time 0.753 (0.762)	Data 0.001 (0.002)	Loss 1.9909 (2.1718)	Prec@1 48.438 (45.157)	Prec@5 80.469 (75.771)
Epoch: [52][6720/14090]	Time 0.739 (0.762)	Data 0.001 (0.002)	Loss 2.3151 (2.1716)	Prec@1 41.406 (45.157)	Prec@5 73.438 (75.775)
Epoch: [52][6730/14090]	Time 0.781 (0.762)	Data 0.001 (0.002)	Loss 2.4378 (2.1717)	Prec@1 37.500 (45.154)	Prec@5 71.094 (75.774)
Epoch: [52][6740/14090]	Time 0.768 (0.762)	Data 0.001 (0.002)	Loss 2.1885 (2.1718)	Prec@1 46.875 (45.153)	Prec@5 75.000 (75.772)
Epoch: [52][6750/14090]	Time 0.739 (0.762)	Data 0.001 (0.002)	Loss 1.9704 (2.1718)	Prec@1 45.312 (45.153)	Prec@5 80.469 (75.772)
Epoch: [52][6760/14090]	Time 0.750 (0.762)	Data 0.001 (0.002)	Loss 2.2960 (2.1718)	Prec@1 39.844 (45.155)	Prec@5 78.125 (75.773)
Epoch: [52][6770/14090]	Time 0.793 (0.762)	Data 0.001 (0.002)	Loss 1.8833 (2.1716)	Prec@1 51.562 (45.159)	Prec@5 83.594 (75.775)
Epoch: [52][6780/14090]	Time 0.724 (0.762)	Data 0.001 (0.002)	Loss 2.3708 (2.1715)	Prec@1 46.094 (45.162)	Prec@5 72.656 (75.777)
Epoch: [52][6790/14090]	Time 0.732 (0.762)	Data 0.001 (0.002)	Loss 2.5493 (2.1716)	Prec@1 39.844 (45.162)	Prec@5 70.312 (75.774)
Epoch: [52][6800/14090]	Time 0.812 (0.762)	Data 0.001 (0.002)	Loss 2.3490 (2.1717)	Prec@1 40.625 (45.161)	Prec@5 71.094 (75.773)
Epoch: [52][6810/14090]	Time 0.770 (0.762)	Data 0.001 (0.002)	Loss 2.2609 (2.1718)	Prec@1 49.219 (45.161)	Prec@5 73.438 (75.772)
Epoch: [52][6820/14090]	Time 0.733 (0.762)	Data 0.001 (0.002)	Loss 2.0936 (2.1717)	Prec@1 42.969 (45.162)	Prec@5 78.125 (75.773)
Epoch: [52][6830/14090]	Time 0.745 (0.762)	Data 0.001 (0.002)	Loss 2.2495 (2.1717)	Prec@1 40.625 (45.162)	Prec@5 75.781 (75.772)
Epoch: [52][6840/14090]	Time 0.781 (0.762)	Data 0.001 (0.002)	Loss 2.0583 (2.1716)	Prec@1 47.656 (45.163)	Prec@5 78.906 (75.773)
Epoch: [52][6850/14090]	Time 0.777 (0.762)	Data 0.001 (0.002)	Loss 2.3456 (2.1717)	Prec@1 40.625 (45.161)	Prec@5 71.875 (75.772)
Epoch: [52][6860/14090]	Time 0.769 (0.762)	Data 0.001 (0.002)	Loss 2.0479 (2.1718)	Prec@1 46.875 (45.160)	Prec@5 75.781 (75.771)
Epoch: [52][6870/14090]	Time 0.851 (0.762)	Data 0.001 (0.002)	Loss 2.1897 (2.1719)	Prec@1 41.406 (45.160)	Prec@5 75.781 (75.772)
Epoch: [52][6880/14090]	Time 0.779 (0.762)	Data 0.001 (0.002)	Loss 2.4924 (2.1719)	Prec@1 39.062 (45.158)	Prec@5 64.844 (75.768)
Epoch: [52][6890/14090]	Time 0.746 (0.762)	Data 0.001 (0.002)	Loss 2.0146 (2.1719)	Prec@1 49.219 (45.159)	Prec@5 77.344 (75.768)
Epoch: [52][6900/14090]	Time 0.783 (0.762)	Data 0.001 (0.002)	Loss 1.9173 (2.1719)	Prec@1 48.438 (45.161)	Prec@5 78.906 (75.768)
Epoch: [52][6910/14090]	Time 0.755 (0.762)	Data 0.001 (0.002)	Loss 2.3539 (2.1720)	Prec@1 42.188 (45.158)	Prec@5 71.094 (75.766)
Epoch: [52][6920/14090]	Time 0.739 (0.762)	Data 0.001 (0.002)	Loss 2.2323 (2.1721)	Prec@1 45.312 (45.158)	Prec@5 71.875 (75.765)
Epoch: [52][6930/14090]	Time 0.755 (0.762)	Data 0.001 (0.002)	Loss 2.0378 (2.1721)	Prec@1 46.094 (45.156)	Prec@5 78.906 (75.765)
Epoch: [52][6940/14090]	Time 0.777 (0.762)	Data 0.001 (0.002)	Loss 2.1404 (2.1721)	Prec@1 42.188 (45.153)	Prec@5 81.250 (75.764)
Epoch: [52][6950/14090]	Time 0.754 (0.762)	Data 0.001 (0.002)	Loss 2.3422 (2.1722)	Prec@1 39.062 (45.150)	Prec@5 68.750 (75.763)
Epoch: [52][6960/14090]	Time 0.742 (0.762)	Data 0.001 (0.002)	Loss 2.3115 (2.1723)	Prec@1 36.719 (45.149)	Prec@5 75.781 (75.761)
Epoch: [52][6970/14090]	Time 0.738 (0.762)	Data 0.001 (0.002)	Loss 1.8638 (2.1723)	Prec@1 56.250 (45.148)	Prec@5 81.250 (75.761)
Epoch: [52][6980/14090]	Time 0.735 (0.762)	Data 0.001 (0.002)	Loss 2.3017 (2.1724)	Prec@1 42.969 (45.149)	Prec@5 71.875 (75.759)
Epoch: [52][6990/14090]	Time 0.759 (0.762)	Data 0.001 (0.002)	Loss 2.1616 (2.1725)	Prec@1 45.312 (45.148)	Prec@5 72.656 (75.757)
Epoch: [52][7000/14090]	Time 0.757 (0.762)	Data 0.002 (0.002)	Loss 2.0082 (2.1724)	Prec@1 48.438 (45.148)	Prec@5 77.344 (75.757)
Epoch: [52][7010/14090]	Time 0.798 (0.762)	Data 0.002 (0.002)	Loss 2.0339 (2.1722)	Prec@1 49.219 (45.151)	Prec@5 79.688 (75.761)
Epoch: [52][7020/14090]	Time 0.749 (0.762)	Data 0.001 (0.002)	Loss 2.5023 (2.1723)	Prec@1 38.281 (45.150)	Prec@5 70.312 (75.759)
Epoch: [52][7030/14090]	Time 0.737 (0.762)	Data 0.001 (0.002)	Loss 1.8865 (2.1723)	Prec@1 49.219 (45.151)	Prec@5 82.812 (75.760)
Epoch: [52][7040/14090]	Time 0.771 (0.762)	Data 0.001 (0.002)	Loss 2.3806 (2.1723)	Prec@1 39.062 (45.152)	Prec@5 70.312 (75.758)
Epoch: [52][7050/14090]	Time 0.753 (0.762)	Data 0.001 (0.002)	Loss 1.9729 (2.1722)	Prec@1 52.344 (45.156)	Prec@5 78.125 (75.762)
Epoch: [52][7060/14090]	Time 0.750 (0.762)	Data 0.001 (0.002)	Loss 1.9341 (2.1721)	Prec@1 50.781 (45.157)	Prec@5 78.906 (75.764)
Epoch: [52][7070/14090]	Time 0.725 (0.762)	Data 0.001 (0.002)	Loss 1.6899 (2.1720)	Prec@1 52.344 (45.159)	Prec@5 80.469 (75.766)
Epoch: [52][7080/14090]	Time 0.866 (0.762)	Data 0.001 (0.002)	Loss 2.0612 (2.1720)	Prec@1 48.438 (45.161)	Prec@5 75.781 (75.767)
Epoch: [52][7090/14090]	Time 0.779 (0.762)	Data 0.002 (0.002)	Loss 2.3299 (2.1721)	Prec@1 39.844 (45.159)	Prec@5 70.312 (75.766)
Epoch: [52][7100/14090]	Time 0.743 (0.762)	Data 0.001 (0.002)	Loss 2.3089 (2.1720)	Prec@1 42.969 (45.158)	Prec@5 73.438 (75.765)
Epoch: [52][7110/14090]	Time 0.753 (0.762)	Data 0.001 (0.002)	Loss 2.1600 (2.1721)	Prec@1 47.656 (45.157)	Prec@5 73.438 (75.764)
Epoch: [52][7120/14090]	Time 0.770 (0.762)	Data 0.001 (0.002)	Loss 2.2423 (2.1721)	Prec@1 46.875 (45.157)	Prec@5 69.531 (75.763)
Epoch: [52][7130/14090]	Time 0.725 (0.762)	Data 0.001 (0.002)	Loss 2.2356 (2.1722)	Prec@1 42.969 (45.154)	Prec@5 74.219 (75.761)
Epoch: [52][7140/14090]	Time 0.732 (0.762)	Data 0.001 (0.002)	Loss 2.3092 (2.1723)	Prec@1 42.188 (45.153)	Prec@5 72.656 (75.761)
Epoch: [52][7150/14090]	Time 0.827 (0.762)	Data 0.001 (0.002)	Loss 2.2239 (2.1724)	Prec@1 39.062 (45.151)	Prec@5 76.562 (75.758)
Epoch: [52][7160/14090]	Time 0.723 (0.762)	Data 0.001 (0.002)	Loss 2.4803 (2.1724)	Prec@1 39.062 (45.150)	Prec@5 74.219 (75.757)
Epoch: [52][7170/14090]	Time 0.734 (0.762)	Data 0.001 (0.002)	Loss 2.0995 (2.1724)	Prec@1 44.531 (45.148)	Prec@5 78.125 (75.758)
Epoch: [52][7180/14090]	Time 0.739 (0.762)	Data 0.001 (0.002)	Loss 2.0553 (2.1724)	Prec@1 43.750 (45.147)	Prec@5 78.125 (75.755)
Epoch: [52][7190/14090]	Time 0.734 (0.762)	Data 0.001 (0.002)	Loss 2.1599 (2.1726)	Prec@1 44.531 (45.145)	Prec@5 73.438 (75.751)
Epoch: [52][7200/14090]	Time 0.753 (0.762)	Data 0.001 (0.002)	Loss 2.0300 (2.1726)	Prec@1 51.562 (45.144)	Prec@5 75.000 (75.751)
Epoch: [52][7210/14090]	Time 0.746 (0.762)	Data 0.001 (0.002)	Loss 2.3949 (2.1727)	Prec@1 42.969 (45.142)	Prec@5 72.656 (75.749)
Epoch: [52][7220/14090]	Time 0.795 (0.762)	Data 0.001 (0.002)	Loss 2.1722 (2.1727)	Prec@1 42.969 (45.141)	Prec@5 75.781 (75.748)
Epoch: [52][7230/14090]	Time 0.739 (0.762)	Data 0.001 (0.002)	Loss 2.3426 (2.1727)	Prec@1 40.625 (45.142)	Prec@5 75.000 (75.749)
Epoch: [52][7240/14090]	Time 0.776 (0.762)	Data 0.001 (0.002)	Loss 2.2987 (2.1728)	Prec@1 37.500 (45.140)	Prec@5 70.312 (75.749)
Epoch: [52][7250/14090]	Time 0.787 (0.762)	Data 0.001 (0.002)	Loss 2.2288 (2.1728)	Prec@1 46.094 (45.140)	Prec@5 75.781 (75.747)
Epoch: [52][7260/14090]	Time 0.760 (0.762)	Data 0.001 (0.002)	Loss 2.0554 (2.1729)	Prec@1 46.875 (45.139)	Prec@5 81.250 (75.746)
Epoch: [52][7270/14090]	Time 0.723 (0.762)	Data 0.001 (0.002)	Loss 2.2497 (2.1730)	Prec@1 40.625 (45.137)	Prec@5 74.219 (75.744)
Epoch: [52][7280/14090]	Time 0.726 (0.762)	Data 0.001 (0.002)	Loss 2.2638 (2.1729)	Prec@1 42.188 (45.138)	Prec@5 75.781 (75.745)
Epoch: [52][7290/14090]	Time 0.821 (0.762)	Data 0.001 (0.002)	Loss 2.3722 (2.1730)	Prec@1 44.531 (45.137)	Prec@5 73.438 (75.743)
Epoch: [52][7300/14090]	Time 0.730 (0.762)	Data 0.001 (0.002)	Loss 2.1783 (2.1730)	Prec@1 45.312 (45.138)	Prec@5 74.219 (75.743)
Epoch: [52][7310/14090]	Time 0.752 (0.762)	Data 0.001 (0.002)	Loss 1.8702 (2.1730)	Prec@1 56.250 (45.139)	Prec@5 79.688 (75.743)
Epoch: [52][7320/14090]	Time 0.770 (0.762)	Data 0.001 (0.002)	Loss 2.1542 (2.1731)	Prec@1 43.750 (45.136)	Prec@5 75.781 (75.741)
Epoch: [52][7330/14090]	Time 0.743 (0.762)	Data 0.001 (0.002)	Loss 1.9255 (2.1731)	Prec@1 49.219 (45.137)	Prec@5 80.469 (75.741)
Epoch: [52][7340/14090]	Time 0.751 (0.762)	Data 0.001 (0.002)	Loss 2.0569 (2.1731)	Prec@1 46.094 (45.136)	Prec@5 76.562 (75.737)
Epoch: [52][7350/14090]	Time 0.754 (0.762)	Data 0.001 (0.002)	Loss 2.2790 (2.1732)	Prec@1 45.312 (45.135)	Prec@5 71.875 (75.732)
Epoch: [52][7360/14090]	Time 0.784 (0.762)	Data 0.001 (0.002)	Loss 2.2674 (2.1733)	Prec@1 44.531 (45.131)	Prec@5 70.312 (75.731)
Epoch: [52][7370/14090]	Time 0.767 (0.762)	Data 0.001 (0.002)	Loss 2.0679 (2.1732)	Prec@1 40.625 (45.131)	Prec@5 78.125 (75.734)
Epoch: [52][7380/14090]	Time 0.758 (0.762)	Data 0.001 (0.002)	Loss 2.1399 (2.1733)	Prec@1 43.750 (45.134)	Prec@5 78.125 (75.734)
Epoch: [52][7390/14090]	Time 0.760 (0.762)	Data 0.001 (0.002)	Loss 2.4414 (2.1733)	Prec@1 33.594 (45.132)	Prec@5 67.969 (75.733)
Epoch: [52][7400/14090]	Time 0.733 (0.762)	Data 0.001 (0.002)	Loss 2.1165 (2.1733)	Prec@1 42.969 (45.135)	Prec@5 74.219 (75.733)
Epoch: [52][7410/14090]	Time 0.752 (0.762)	Data 0.001 (0.002)	Loss 2.2364 (2.1734)	Prec@1 39.062 (45.129)	Prec@5 75.000 (75.733)
Epoch: [52][7420/14090]	Time 0.724 (0.762)	Data 0.001 (0.002)	Loss 2.0272 (2.1734)	Prec@1 46.875 (45.129)	Prec@5 78.906 (75.733)
Epoch: [52][7430/14090]	Time 0.802 (0.762)	Data 0.001 (0.002)	Loss 2.2127 (2.1735)	Prec@1 42.969 (45.127)	Prec@5 75.781 (75.731)
Epoch: [52][7440/14090]	Time 0.729 (0.762)	Data 0.001 (0.002)	Loss 2.2345 (2.1735)	Prec@1 40.625 (45.126)	Prec@5 75.000 (75.731)
Epoch: [52][7450/14090]	Time 0.747 (0.762)	Data 0.001 (0.002)	Loss 2.3618 (2.1736)	Prec@1 41.406 (45.125)	Prec@5 71.875 (75.730)
Epoch: [52][7460/14090]	Time 0.739 (0.762)	Data 0.001 (0.002)	Loss 2.0848 (2.1735)	Prec@1 51.562 (45.128)	Prec@5 78.125 (75.733)
Epoch: [52][7470/14090]	Time 0.733 (0.762)	Data 0.001 (0.002)	Loss 2.1787 (2.1735)	Prec@1 46.875 (45.127)	Prec@5 72.656 (75.730)
Epoch: [52][7480/14090]	Time 0.752 (0.762)	Data 0.001 (0.002)	Loss 2.3168 (2.1736)	Prec@1 45.312 (45.123)	Prec@5 68.750 (75.728)
Epoch: [52][7490/14090]	Time 0.719 (0.762)	Data 0.001 (0.002)	Loss 2.1217 (2.1736)	Prec@1 48.438 (45.126)	Prec@5 76.562 (75.728)
Epoch: [52][7500/14090]	Time 0.835 (0.762)	Data 0.001 (0.002)	Loss 1.9069 (2.1736)	Prec@1 50.000 (45.124)	Prec@5 78.906 (75.726)
Epoch: [52][7510/14090]	Time 0.755 (0.762)	Data 0.001 (0.002)	Loss 2.1570 (2.1735)	Prec@1 42.969 (45.127)	Prec@5 78.906 (75.727)
Epoch: [52][7520/14090]	Time 0.740 (0.762)	Data 0.001 (0.002)	Loss 2.4018 (2.1736)	Prec@1 41.406 (45.124)	Prec@5 71.094 (75.724)
Epoch: [52][7530/14090]	Time 0.734 (0.762)	Data 0.001 (0.002)	Loss 2.5459 (2.1737)	Prec@1 33.594 (45.122)	Prec@5 70.312 (75.722)
Epoch: [52][7540/14090]	Time 0.733 (0.762)	Data 0.001 (0.002)	Loss 2.2231 (2.1737)	Prec@1 42.969 (45.120)	Prec@5 75.000 (75.720)
Epoch: [52][7550/14090]	Time 0.741 (0.762)	Data 0.001 (0.002)	Loss 2.2054 (2.1739)	Prec@1 42.969 (45.117)	Prec@5 76.562 (75.719)
Epoch: [52][7560/14090]	Time 0.738 (0.762)	Data 0.001 (0.002)	Loss 2.5366 (2.1740)	Prec@1 41.406 (45.117)	Prec@5 67.188 (75.716)
Epoch: [52][7570/14090]	Time 0.824 (0.762)	Data 0.001 (0.002)	Loss 2.1971 (2.1739)	Prec@1 42.188 (45.117)	Prec@5 74.219 (75.716)
Epoch: [52][7580/14090]	Time 0.730 (0.762)	Data 0.001 (0.002)	Loss 2.2877 (2.1739)	Prec@1 39.844 (45.116)	Prec@5 72.656 (75.718)
Epoch: [52][7590/14090]	Time 0.729 (0.762)	Data 0.001 (0.002)	Loss 2.1476 (2.1739)	Prec@1 46.094 (45.115)	Prec@5 75.781 (75.718)
Epoch: [52][7600/14090]	Time 0.753 (0.762)	Data 0.001 (0.002)	Loss 2.0413 (2.1739)	Prec@1 48.438 (45.115)	Prec@5 78.906 (75.720)
Epoch: [52][7610/14090]	Time 0.729 (0.762)	Data 0.001 (0.002)	Loss 2.1403 (2.1738)	Prec@1 45.312 (45.116)	Prec@5 74.219 (75.721)
Epoch: [52][7620/14090]	Time 0.777 (0.762)	Data 0.001 (0.002)	Loss 2.1236 (2.1738)	Prec@1 48.438 (45.116)	Prec@5 76.562 (75.720)
Epoch: [52][7630/14090]	Time 0.728 (0.762)	Data 0.001 (0.002)	Loss 2.0270 (2.1738)	Prec@1 51.562 (45.116)	Prec@5 84.375 (75.722)
Epoch: [52][7640/14090]	Time 0.823 (0.762)	Data 0.001 (0.002)	Loss 2.0781 (2.1737)	Prec@1 47.656 (45.118)	Prec@5 75.000 (75.723)
Epoch: [52][7650/14090]	Time 0.769 (0.762)	Data 0.001 (0.002)	Loss 2.1194 (2.1739)	Prec@1 45.312 (45.115)	Prec@5 75.000 (75.720)
Epoch: [52][7660/14090]	Time 0.729 (0.762)	Data 0.001 (0.002)	Loss 1.9761 (2.1739)	Prec@1 50.000 (45.115)	Prec@5 74.219 (75.716)
Epoch: [52][7670/14090]	Time 0.757 (0.762)	Data 0.001 (0.002)	Loss 1.9586 (2.1740)	Prec@1 43.750 (45.114)	Prec@5 80.469 (75.715)
Epoch: [52][7680/14090]	Time 0.772 (0.762)	Data 0.001 (0.002)	Loss 1.9813 (2.1741)	Prec@1 51.562 (45.114)	Prec@5 79.688 (75.714)
Epoch: [52][7690/14090]	Time 0.772 (0.762)	Data 0.001 (0.002)	Loss 2.3912 (2.1741)	Prec@1 42.188 (45.112)	Prec@5 72.656 (75.712)
Epoch: [52][7700/14090]	Time 0.755 (0.762)	Data 0.001 (0.002)	Loss 1.9980 (2.1741)	Prec@1 46.875 (45.110)	Prec@5 78.125 (75.709)
Epoch: [52][7710/14090]	Time 0.814 (0.762)	Data 0.001 (0.002)	Loss 1.8648 (2.1741)	Prec@1 51.562 (45.110)	Prec@5 81.250 (75.707)
Epoch: [52][7720/14090]	Time 0.738 (0.762)	Data 0.003 (0.002)	Loss 2.2207 (2.1741)	Prec@1 47.656 (45.111)	Prec@5 72.656 (75.708)
Epoch: [52][7730/14090]	Time 0.778 (0.762)	Data 0.001 (0.002)	Loss 2.2242 (2.1741)	Prec@1 43.750 (45.110)	Prec@5 78.906 (75.706)
Epoch: [52][7740/14090]	Time 0.753 (0.762)	Data 0.001 (0.002)	Loss 2.1828 (2.1741)	Prec@1 42.188 (45.110)	Prec@5 77.344 (75.707)
Epoch: [52][7750/14090]	Time 0.750 (0.762)	Data 0.001 (0.002)	Loss 2.3767 (2.1741)	Prec@1 42.188 (45.110)	Prec@5 73.438 (75.706)
Epoch: [52][7760/14090]	Time 0.737 (0.762)	Data 0.001 (0.002)	Loss 2.2069 (2.1741)	Prec@1 43.750 (45.108)	Prec@5 74.219 (75.705)
Epoch: [52][7770/14090]	Time 0.756 (0.762)	Data 0.001 (0.002)	Loss 1.9987 (2.1742)	Prec@1 44.531 (45.107)	Prec@5 78.125 (75.703)
Epoch: [52][7780/14090]	Time 0.794 (0.762)	Data 0.001 (0.002)	Loss 2.0735 (2.1742)	Prec@1 53.125 (45.107)	Prec@5 74.219 (75.702)
Epoch: [52][7790/14090]	Time 0.733 (0.762)	Data 0.001 (0.002)	Loss 2.3198 (2.1743)	Prec@1 44.531 (45.105)	Prec@5 74.219 (75.701)
Epoch: [52][7800/14090]	Time 0.785 (0.762)	Data 0.001 (0.002)	Loss 2.0698 (2.1743)	Prec@1 46.875 (45.106)	Prec@5 78.125 (75.701)
Epoch: [52][7810/14090]	Time 0.738 (0.762)	Data 0.001 (0.002)	Loss 1.9781 (2.1742)	Prec@1 45.312 (45.105)	Prec@5 84.375 (75.702)
Epoch: [52][7820/14090]	Time 0.753 (0.762)	Data 0.001 (0.002)	Loss 1.9077 (2.1742)	Prec@1 46.875 (45.105)	Prec@5 82.031 (75.704)
Epoch: [52][7830/14090]	Time 0.758 (0.762)	Data 0.001 (0.002)	Loss 1.9126 (2.1742)	Prec@1 49.219 (45.104)	Prec@5 77.344 (75.704)
Epoch: [52][7840/14090]	Time 0.736 (0.762)	Data 0.001 (0.002)	Loss 2.2542 (2.1742)	Prec@1 44.531 (45.103)	Prec@5 74.219 (75.702)
Epoch: [52][7850/14090]	Time 0.799 (0.762)	Data 0.001 (0.002)	Loss 2.0700 (2.1743)	Prec@1 46.875 (45.101)	Prec@5 72.656 (75.699)
Epoch: [52][7860/14090]	Time 0.743 (0.762)	Data 0.001 (0.002)	Loss 1.9587 (2.1743)	Prec@1 46.875 (45.101)	Prec@5 79.688 (75.699)
Epoch: [52][7870/14090]	Time 0.728 (0.762)	Data 0.001 (0.002)	Loss 2.1389 (2.1744)	Prec@1 42.969 (45.099)	Prec@5 78.906 (75.699)
Epoch: [52][7880/14090]	Time 0.777 (0.762)	Data 0.001 (0.002)	Loss 2.3507 (2.1744)	Prec@1 35.156 (45.101)	Prec@5 77.344 (75.699)
Epoch: [52][7890/14090]	Time 0.726 (0.762)	Data 0.001 (0.002)	Loss 2.1202 (2.1744)	Prec@1 46.875 (45.100)	Prec@5 76.562 (75.699)
Epoch: [52][7900/14090]	Time 0.746 (0.762)	Data 0.001 (0.002)	Loss 2.0634 (2.1743)	Prec@1 49.219 (45.101)	Prec@5 78.125 (75.700)
Epoch: [52][7910/14090]	Time 0.726 (0.762)	Data 0.003 (0.002)	Loss 2.1184 (2.1742)	Prec@1 46.094 (45.103)	Prec@5 78.125 (75.701)
Epoch: [52][7920/14090]	Time 0.918 (0.762)	Data 0.001 (0.002)	Loss 2.3311 (2.1742)	Prec@1 37.500 (45.102)	Prec@5 71.875 (75.702)
Epoch: [52][7930/14090]	Time 0.733 (0.762)	Data 0.001 (0.002)	Loss 2.5143 (2.1741)	Prec@1 39.062 (45.103)	Prec@5 73.438 (75.705)
Epoch: [52][7940/14090]	Time 0.779 (0.762)	Data 0.001 (0.002)	Loss 2.1501 (2.1742)	Prec@1 46.875 (45.102)	Prec@5 75.781 (75.701)
Epoch: [52][7950/14090]	Time 0.764 (0.762)	Data 0.001 (0.002)	Loss 2.2137 (2.1742)	Prec@1 42.969 (45.103)	Prec@5 76.562 (75.701)
Epoch: [52][7960/14090]	Time 0.728 (0.762)	Data 0.001 (0.002)	Loss 2.0581 (2.1742)	Prec@1 43.750 (45.101)	Prec@5 79.688 (75.703)
Epoch: [52][7970/14090]	Time 0.753 (0.762)	Data 0.001 (0.002)	Loss 2.2017 (2.1742)	Prec@1 39.844 (45.099)	Prec@5 75.781 (75.701)
Epoch: [52][7980/14090]	Time 0.751 (0.762)	Data 0.001 (0.002)	Loss 2.0615 (2.1742)	Prec@1 46.875 (45.096)	Prec@5 78.125 (75.702)
Epoch: [52][7990/14090]	Time 0.851 (0.762)	Data 0.001 (0.002)	Loss 2.0356 (2.1742)	Prec@1 45.312 (45.098)	Prec@5 80.469 (75.702)
Epoch: [52][8000/14090]	Time 0.746 (0.762)	Data 0.001 (0.002)	Loss 2.1886 (2.1744)	Prec@1 42.969 (45.094)	Prec@5 78.125 (75.700)
Epoch: [52][8010/14090]	Time 0.775 (0.762)	Data 0.001 (0.002)	Loss 2.1272 (2.1744)	Prec@1 50.000 (45.094)	Prec@5 78.906 (75.701)
Epoch: [52][8020/14090]	Time 0.772 (0.762)	Data 0.001 (0.002)	Loss 1.9396 (2.1743)	Prec@1 49.219 (45.097)	Prec@5 82.031 (75.704)
Epoch: [52][8030/14090]	Time 0.732 (0.762)	Data 0.001 (0.002)	Loss 2.0945 (2.1741)	Prec@1 48.438 (45.100)	Prec@5 74.219 (75.707)
Epoch: [52][8040/14090]	Time 0.755 (0.762)	Data 0.001 (0.002)	Loss 2.2545 (2.1742)	Prec@1 42.969 (45.098)	Prec@5 74.219 (75.705)
Epoch: [52][8050/14090]	Time 0.737 (0.762)	Data 0.001 (0.002)	Loss 2.3417 (2.1743)	Prec@1 39.062 (45.097)	Prec@5 73.438 (75.703)
Epoch: [52][8060/14090]	Time 0.795 (0.762)	Data 0.001 (0.002)	Loss 2.0583 (2.1743)	Prec@1 46.094 (45.096)	Prec@5 76.562 (75.702)
Epoch: [52][8070/14090]	Time 0.739 (0.762)	Data 0.001 (0.002)	Loss 2.4948 (2.1744)	Prec@1 39.844 (45.095)	Prec@5 72.656 (75.700)
Epoch: [52][8080/14090]	Time 0.765 (0.762)	Data 0.001 (0.002)	Loss 2.0612 (2.1744)	Prec@1 46.875 (45.097)	Prec@5 78.906 (75.701)
Epoch: [52][8090/14090]	Time 0.771 (0.762)	Data 0.001 (0.002)	Loss 2.4443 (2.1744)	Prec@1 40.625 (45.095)	Prec@5 70.312 (75.700)
Epoch: [52][8100/14090]	Time 0.728 (0.762)	Data 0.001 (0.002)	Loss 2.1185 (2.1743)	Prec@1 41.406 (45.097)	Prec@5 79.688 (75.702)
Epoch: [52][8110/14090]	Time 0.738 (0.762)	Data 0.001 (0.002)	Loss 2.3005 (2.1743)	Prec@1 40.625 (45.098)	Prec@5 69.531 (75.702)
Epoch: [52][8120/14090]	Time 0.734 (0.762)	Data 0.001 (0.002)	Loss 2.2867 (2.1743)	Prec@1 47.656 (45.100)	Prec@5 76.562 (75.703)
Epoch: [52][8130/14090]	Time 0.763 (0.762)	Data 0.001 (0.002)	Loss 2.0622 (2.1743)	Prec@1 50.781 (45.100)	Prec@5 76.562 (75.701)
Epoch: [52][8140/14090]	Time 0.726 (0.762)	Data 0.001 (0.002)	Loss 1.8533 (2.1742)	Prec@1 50.000 (45.103)	Prec@5 82.031 (75.702)
Epoch: [52][8150/14090]	Time 0.738 (0.762)	Data 0.001 (0.002)	Loss 2.3193 (2.1742)	Prec@1 42.969 (45.102)	Prec@5 73.438 (75.704)
Epoch: [52][8160/14090]	Time 0.734 (0.762)	Data 0.001 (0.002)	Loss 2.3084 (2.1742)	Prec@1 42.188 (45.099)	Prec@5 74.219 (75.704)
Epoch: [52][8170/14090]	Time 0.782 (0.762)	Data 0.001 (0.002)	Loss 2.4095 (2.1742)	Prec@1 45.312 (45.099)	Prec@5 69.531 (75.704)
Epoch: [52][8180/14090]	Time 0.745 (0.762)	Data 0.001 (0.002)	Loss 2.2768 (2.1742)	Prec@1 47.656 (45.103)	Prec@5 78.125 (75.704)
Epoch: [52][8190/14090]	Time 0.752 (0.762)	Data 0.001 (0.002)	Loss 2.2642 (2.1741)	Prec@1 42.188 (45.101)	Prec@5 76.562 (75.703)
Epoch: [52][8200/14090]	Time 0.829 (0.762)	Data 0.001 (0.002)	Loss 2.3556 (2.1741)	Prec@1 40.625 (45.101)	Prec@5 71.094 (75.704)
Epoch: [52][8210/14090]	Time 0.729 (0.762)	Data 0.001 (0.002)	Loss 2.2379 (2.1741)	Prec@1 41.406 (45.102)	Prec@5 75.000 (75.703)
Epoch: [52][8220/14090]	Time 0.752 (0.762)	Data 0.001 (0.002)	Loss 2.2463 (2.1742)	Prec@1 45.312 (45.100)	Prec@5 71.875 (75.701)
Epoch: [52][8230/14090]	Time 0.727 (0.762)	Data 0.001 (0.002)	Loss 2.3986 (2.1742)	Prec@1 38.281 (45.099)	Prec@5 72.656 (75.699)
Epoch: [52][8240/14090]	Time 0.785 (0.762)	Data 0.001 (0.002)	Loss 2.0447 (2.1742)	Prec@1 47.656 (45.099)	Prec@5 77.344 (75.699)
Epoch: [52][8250/14090]	Time 0.746 (0.762)	Data 0.001 (0.002)	Loss 2.2517 (2.1743)	Prec@1 49.219 (45.099)	Prec@5 74.219 (75.696)
Epoch: [52][8260/14090]	Time 0.760 (0.762)	Data 0.001 (0.002)	Loss 2.3901 (2.1743)	Prec@1 37.500 (45.099)	Prec@5 71.875 (75.698)
Epoch: [52][8270/14090]	Time 0.761 (0.762)	Data 0.001 (0.002)	Loss 2.2032 (2.1743)	Prec@1 45.312 (45.099)	Prec@5 75.000 (75.698)
Epoch: [52][8280/14090]	Time 0.779 (0.762)	Data 0.001 (0.002)	Loss 1.9356 (2.1743)	Prec@1 50.000 (45.098)	Prec@5 79.688 (75.698)
Epoch: [52][8290/14090]	Time 0.765 (0.762)	Data 0.001 (0.002)	Loss 2.2683 (2.1743)	Prec@1 45.312 (45.098)	Prec@5 71.875 (75.699)
Epoch: [52][8300/14090]	Time 0.758 (0.762)	Data 0.001 (0.002)	Loss 2.3077 (2.1742)	Prec@1 42.969 (45.098)	Prec@5 76.562 (75.699)
Epoch: [52][8310/14090]	Time 0.759 (0.762)	Data 0.001 (0.002)	Loss 2.1242 (2.1742)	Prec@1 52.344 (45.098)	Prec@5 75.000 (75.701)
Epoch: [52][8320/14090]	Time 0.740 (0.762)	Data 0.001 (0.002)	Loss 1.8536 (2.1742)	Prec@1 53.906 (45.097)	Prec@5 80.469 (75.701)
Epoch: [52][8330/14090]	Time 0.729 (0.762)	Data 0.001 (0.002)	Loss 2.0640 (2.1742)	Prec@1 46.875 (45.098)	Prec@5 81.250 (75.701)
Epoch: [52][8340/14090]	Time 0.830 (0.762)	Data 0.001 (0.002)	Loss 2.2051 (2.1743)	Prec@1 47.656 (45.097)	Prec@5 78.906 (75.699)
Epoch: [52][8350/14090]	Time 0.743 (0.762)	Data 0.001 (0.002)	Loss 2.1327 (2.1742)	Prec@1 44.531 (45.098)	Prec@5 76.562 (75.701)
Epoch: [52][8360/14090]	Time 0.754 (0.762)	Data 0.001 (0.002)	Loss 2.1967 (2.1742)	Prec@1 43.750 (45.098)	Prec@5 72.656 (75.700)
Epoch: [52][8370/14090]	Time 0.756 (0.762)	Data 0.001 (0.002)	Loss 1.9181 (2.1743)	Prec@1 52.344 (45.098)	Prec@5 82.812 (75.700)
Epoch: [52][8380/14090]	Time 0.746 (0.762)	Data 0.001 (0.001)	Loss 2.2353 (2.1744)	Prec@1 43.750 (45.096)	Prec@5 74.219 (75.698)
Epoch: [52][8390/14090]	Time 0.757 (0.762)	Data 0.001 (0.001)	Loss 2.2291 (2.1744)	Prec@1 45.312 (45.098)	Prec@5 73.438 (75.700)
Epoch: [52][8400/14090]	Time 0.754 (0.762)	Data 0.001 (0.001)	Loss 2.3080 (2.1743)	Prec@1 42.188 (45.099)	Prec@5 72.656 (75.700)
Epoch: [52][8410/14090]	Time 0.798 (0.762)	Data 0.001 (0.001)	Loss 2.0640 (2.1743)	Prec@1 43.750 (45.102)	Prec@5 80.469 (75.700)
Epoch: [52][8420/14090]	Time 0.729 (0.762)	Data 0.001 (0.001)	Loss 1.8569 (2.1741)	Prec@1 53.906 (45.105)	Prec@5 79.688 (75.703)
Epoch: [52][8430/14090]	Time 0.738 (0.762)	Data 0.001 (0.001)	Loss 2.0257 (2.1742)	Prec@1 43.750 (45.103)	Prec@5 78.125 (75.702)
Epoch: [52][8440/14090]	Time 0.730 (0.762)	Data 0.001 (0.001)	Loss 2.4341 (2.1742)	Prec@1 42.969 (45.105)	Prec@5 71.094 (75.701)
Epoch: [52][8450/14090]	Time 0.738 (0.762)	Data 0.001 (0.001)	Loss 2.0752 (2.1741)	Prec@1 46.094 (45.106)	Prec@5 74.219 (75.703)
Epoch: [52][8460/14090]	Time 0.742 (0.762)	Data 0.001 (0.001)	Loss 2.0807 (2.1743)	Prec@1 47.656 (45.105)	Prec@5 75.781 (75.702)
Epoch: [52][8470/14090]	Time 0.738 (0.762)	Data 0.001 (0.001)	Loss 2.2337 (2.1743)	Prec@1 38.281 (45.102)	Prec@5 74.219 (75.701)
Epoch: [52][8480/14090]	Time 0.840 (0.762)	Data 0.001 (0.001)	Loss 2.2358 (2.1743)	Prec@1 43.750 (45.102)	Prec@5 75.000 (75.700)
Epoch: [52][8490/14090]	Time 0.745 (0.762)	Data 0.001 (0.001)	Loss 1.9615 (2.1743)	Prec@1 50.781 (45.102)	Prec@5 78.906 (75.698)
Epoch: [52][8500/14090]	Time 0.748 (0.762)	Data 0.001 (0.001)	Loss 2.1278 (2.1744)	Prec@1 43.750 (45.100)	Prec@5 75.781 (75.697)
Epoch: [52][8510/14090]	Time 0.772 (0.762)	Data 0.001 (0.001)	Loss 2.2554 (2.1744)	Prec@1 44.531 (45.101)	Prec@5 73.438 (75.697)
Epoch: [52][8520/14090]	Time 0.779 (0.762)	Data 0.001 (0.001)	Loss 2.3247 (2.1743)	Prec@1 40.625 (45.102)	Prec@5 73.438 (75.696)
Epoch: [52][8530/14090]	Time 0.755 (0.762)	Data 0.001 (0.001)	Loss 2.3978 (2.1742)	Prec@1 37.500 (45.105)	Prec@5 69.531 (75.698)
Epoch: [52][8540/14090]	Time 0.723 (0.762)	Data 0.002 (0.001)	Loss 2.2254 (2.1743)	Prec@1 43.750 (45.104)	Prec@5 75.781 (75.696)
Epoch: [52][8550/14090]	Time 0.802 (0.762)	Data 0.001 (0.001)	Loss 2.4102 (2.1744)	Prec@1 34.375 (45.100)	Prec@5 73.438 (75.695)
Epoch: [52][8560/14090]	Time 0.726 (0.762)	Data 0.002 (0.001)	Loss 2.2966 (2.1744)	Prec@1 42.188 (45.100)	Prec@5 75.781 (75.696)
Epoch: [52][8570/14090]	Time 0.740 (0.762)	Data 0.001 (0.001)	Loss 2.2513 (2.1744)	Prec@1 45.312 (45.099)	Prec@5 72.656 (75.697)
Epoch: [52][8580/14090]	Time 0.753 (0.762)	Data 0.001 (0.001)	Loss 2.0148 (2.1743)	Prec@1 42.969 (45.100)	Prec@5 81.250 (75.698)
Epoch: [52][8590/14090]	Time 0.729 (0.762)	Data 0.001 (0.001)	Loss 2.3215 (2.1742)	Prec@1 43.750 (45.102)	Prec@5 72.656 (75.701)
Epoch: [52][8600/14090]	Time 0.756 (0.762)	Data 0.001 (0.001)	Loss 2.1212 (2.1743)	Prec@1 46.094 (45.101)	Prec@5 78.125 (75.699)
Epoch: [52][8610/14090]	Time 0.746 (0.762)	Data 0.001 (0.001)	Loss 2.0347 (2.1743)	Prec@1 43.750 (45.101)	Prec@5 78.906 (75.701)
Epoch: [52][8620/14090]	Time 0.895 (0.762)	Data 0.001 (0.001)	Loss 2.0620 (2.1744)	Prec@1 48.438 (45.100)	Prec@5 77.344 (75.700)
Epoch: [52][8630/14090]	Time 0.769 (0.762)	Data 0.001 (0.001)	Loss 2.5885 (2.1744)	Prec@1 46.094 (45.101)	Prec@5 68.750 (75.700)
Epoch: [52][8640/14090]	Time 0.749 (0.762)	Data 0.001 (0.001)	Loss 2.0394 (2.1744)	Prec@1 47.656 (45.098)	Prec@5 74.219 (75.697)
Epoch: [52][8650/14090]	Time 0.752 (0.762)	Data 0.001 (0.001)	Loss 2.1163 (2.1745)	Prec@1 46.094 (45.098)	Prec@5 75.781 (75.697)
Epoch: [52][8660/14090]	Time 0.761 (0.762)	Data 0.001 (0.001)	Loss 2.3384 (2.1744)	Prec@1 40.625 (45.100)	Prec@5 72.656 (75.698)
Epoch: [52][8670/14090]	Time 0.766 (0.762)	Data 0.001 (0.001)	Loss 2.3548 (2.1744)	Prec@1 39.844 (45.100)	Prec@5 68.750 (75.698)
Epoch: [52][8680/14090]	Time 0.732 (0.762)	Data 0.001 (0.001)	Loss 2.0329 (2.1743)	Prec@1 44.531 (45.104)	Prec@5 81.250 (75.701)
Epoch: [52][8690/14090]	Time 0.794 (0.762)	Data 0.001 (0.001)	Loss 2.2437 (2.1743)	Prec@1 42.969 (45.106)	Prec@5 73.438 (75.700)
Epoch: [52][8700/14090]	Time 0.744 (0.762)	Data 0.001 (0.001)	Loss 2.2242 (2.1743)	Prec@1 45.312 (45.105)	Prec@5 76.562 (75.701)
Epoch: [52][8710/14090]	Time 0.752 (0.762)	Data 0.001 (0.001)	Loss 2.0537 (2.1742)	Prec@1 42.969 (45.106)	Prec@5 74.219 (75.702)
Epoch: [52][8720/14090]	Time 0.773 (0.762)	Data 0.001 (0.001)	Loss 1.9912 (2.1741)	Prec@1 49.219 (45.107)	Prec@5 79.688 (75.703)
Epoch: [52][8730/14090]	Time 0.782 (0.762)	Data 0.001 (0.001)	Loss 2.0553 (2.1742)	Prec@1 53.125 (45.107)	Prec@5 75.781 (75.702)
Epoch: [52][8740/14090]	Time 0.723 (0.762)	Data 0.001 (0.001)	Loss 2.2766 (2.1742)	Prec@1 41.406 (45.106)	Prec@5 75.000 (75.702)
Epoch: [52][8750/14090]	Time 0.728 (0.762)	Data 0.001 (0.001)	Loss 2.0365 (2.1741)	Prec@1 46.094 (45.108)	Prec@5 77.344 (75.703)
Epoch: [52][8760/14090]	Time 0.778 (0.762)	Data 0.001 (0.001)	Loss 2.0020 (2.1742)	Prec@1 53.906 (45.107)	Prec@5 75.781 (75.703)
Epoch: [52][8770/14090]	Time 0.733 (0.762)	Data 0.001 (0.001)	Loss 2.2662 (2.1741)	Prec@1 42.969 (45.108)	Prec@5 75.000 (75.704)
Epoch: [52][8780/14090]	Time 0.738 (0.762)	Data 0.001 (0.001)	Loss 2.1924 (2.1740)	Prec@1 46.094 (45.112)	Prec@5 74.219 (75.705)
Epoch: [52][8790/14090]	Time 0.746 (0.762)	Data 0.001 (0.001)	Loss 2.3772 (2.1741)	Prec@1 43.750 (45.109)	Prec@5 70.312 (75.705)
Epoch: [52][8800/14090]	Time 0.770 (0.762)	Data 0.001 (0.001)	Loss 2.2832 (2.1741)	Prec@1 39.062 (45.107)	Prec@5 76.562 (75.705)
Epoch: [52][8810/14090]	Time 0.758 (0.762)	Data 0.001 (0.001)	Loss 2.1158 (2.1740)	Prec@1 41.406 (45.108)	Prec@5 75.781 (75.704)
Epoch: [52][8820/14090]	Time 0.735 (0.762)	Data 0.001 (0.001)	Loss 2.0442 (2.1740)	Prec@1 50.781 (45.108)	Prec@5 79.688 (75.706)
Epoch: [52][8830/14090]	Time 0.866 (0.762)	Data 0.001 (0.001)	Loss 1.8835 (2.1740)	Prec@1 48.438 (45.107)	Prec@5 79.688 (75.704)
Epoch: [52][8840/14090]	Time 0.757 (0.762)	Data 0.001 (0.001)	Loss 2.0626 (2.1740)	Prec@1 44.531 (45.108)	Prec@5 78.125 (75.704)
Epoch: [52][8850/14090]	Time 0.756 (0.762)	Data 0.001 (0.001)	Loss 2.3132 (2.1739)	Prec@1 47.656 (45.108)	Prec@5 75.000 (75.704)
Epoch: [52][8860/14090]	Time 0.731 (0.762)	Data 0.001 (0.001)	Loss 2.3217 (2.1740)	Prec@1 42.188 (45.106)	Prec@5 70.312 (75.704)
Epoch: [52][8870/14090]	Time 0.726 (0.762)	Data 0.001 (0.001)	Loss 2.4113 (2.1740)	Prec@1 40.625 (45.104)	Prec@5 67.188 (75.702)
Epoch: [52][8880/14090]	Time 0.753 (0.762)	Data 0.001 (0.001)	Loss 2.1706 (2.1741)	Prec@1 47.656 (45.104)	Prec@5 78.906 (75.703)
Epoch: [52][8890/14090]	Time 0.773 (0.762)	Data 0.001 (0.001)	Loss 2.0476 (2.1742)	Prec@1 45.312 (45.100)	Prec@5 78.125 (75.700)
Epoch: [52][8900/14090]	Time 0.816 (0.762)	Data 0.001 (0.001)	Loss 2.2186 (2.1741)	Prec@1 44.531 (45.100)	Prec@5 75.781 (75.701)
Epoch: [52][8910/14090]	Time 0.735 (0.762)	Data 0.001 (0.001)	Loss 2.5006 (2.1742)	Prec@1 35.938 (45.099)	Prec@5 70.312 (75.699)
Epoch: [52][8920/14090]	Time 0.761 (0.762)	Data 0.001 (0.001)	Loss 2.2092 (2.1743)	Prec@1 41.406 (45.098)	Prec@5 79.688 (75.700)
Epoch: [52][8930/14090]	Time 0.743 (0.762)	Data 0.001 (0.001)	Loss 2.0799 (2.1742)	Prec@1 47.656 (45.099)	Prec@5 74.219 (75.701)
Epoch: [52][8940/14090]	Time 0.738 (0.762)	Data 0.001 (0.001)	Loss 1.9669 (2.1741)	Prec@1 49.219 (45.102)	Prec@5 79.688 (75.704)
Epoch: [52][8950/14090]	Time 0.787 (0.762)	Data 0.001 (0.001)	Loss 2.1400 (2.1740)	Prec@1 52.344 (45.103)	Prec@5 76.562 (75.705)
Epoch: [52][8960/14090]	Time 0.745 (0.762)	Data 0.001 (0.001)	Loss 2.2003 (2.1740)	Prec@1 42.188 (45.102)	Prec@5 73.438 (75.706)
Epoch: [52][8970/14090]	Time 0.952 (0.762)	Data 0.001 (0.001)	Loss 2.1055 (2.1740)	Prec@1 45.312 (45.101)	Prec@5 78.906 (75.706)
Epoch: [52][8980/14090]	Time 0.736 (0.762)	Data 0.001 (0.001)	Loss 2.1777 (2.1739)	Prec@1 42.188 (45.103)	Prec@5 75.781 (75.707)
Epoch: [52][8990/14090]	Time 0.762 (0.762)	Data 0.001 (0.001)	Loss 1.9812 (2.1739)	Prec@1 50.000 (45.103)	Prec@5 76.562 (75.707)
Epoch: [52][9000/14090]	Time 0.728 (0.762)	Data 0.002 (0.001)	Loss 2.0243 (2.1738)	Prec@1 50.781 (45.107)	Prec@5 79.688 (75.709)
Epoch: [52][9010/14090]	Time 0.752 (0.762)	Data 0.001 (0.001)	Loss 2.1510 (2.1738)	Prec@1 42.969 (45.105)	Prec@5 73.438 (75.709)
Epoch: [52][9020/14090]	Time 0.749 (0.762)	Data 0.001 (0.001)	Loss 2.0064 (2.1738)	Prec@1 46.094 (45.105)	Prec@5 82.031 (75.710)
Epoch: [52][9030/14090]	Time 0.738 (0.762)	Data 0.001 (0.001)	Loss 2.0541 (2.1738)	Prec@1 48.438 (45.107)	Prec@5 73.438 (75.710)
Epoch: [52][9040/14090]	Time 0.805 (0.762)	Data 0.001 (0.001)	Loss 1.9677 (2.1739)	Prec@1 50.781 (45.105)	Prec@5 78.125 (75.709)
Epoch: [52][9050/14090]	Time 0.772 (0.762)	Data 0.001 (0.001)	Loss 2.2387 (2.1738)	Prec@1 42.969 (45.104)	Prec@5 75.000 (75.710)
Epoch: [52][9060/14090]	Time 0.777 (0.762)	Data 0.001 (0.001)	Loss 2.1425 (2.1738)	Prec@1 43.750 (45.105)	Prec@5 80.469 (75.711)
Epoch: [52][9070/14090]	Time 0.745 (0.762)	Data 0.001 (0.001)	Loss 2.0553 (2.1738)	Prec@1 49.219 (45.107)	Prec@5 74.219 (75.710)
Epoch: [52][9080/14090]	Time 0.751 (0.762)	Data 0.001 (0.001)	Loss 2.5996 (2.1737)	Prec@1 43.750 (45.110)	Prec@5 69.531 (75.711)
Epoch: [52][9090/14090]	Time 0.751 (0.762)	Data 0.001 (0.001)	Loss 2.1402 (2.1737)	Prec@1 44.531 (45.110)	Prec@5 77.344 (75.711)
Epoch: [52][9100/14090]	Time 0.745 (0.762)	Data 0.001 (0.001)	Loss 2.2056 (2.1738)	Prec@1 44.531 (45.107)	Prec@5 74.219 (75.710)
Epoch: [52][9110/14090]	Time 0.841 (0.762)	Data 0.001 (0.001)	Loss 1.9785 (2.1737)	Prec@1 53.125 (45.108)	Prec@5 80.469 (75.712)
Epoch: [52][9120/14090]	Time 0.733 (0.762)	Data 0.001 (0.001)	Loss 2.1693 (2.1736)	Prec@1 43.750 (45.109)	Prec@5 73.438 (75.714)
Epoch: [52][9130/14090]	Time 0.735 (0.762)	Data 0.001 (0.001)	Loss 2.1753 (2.1736)	Prec@1 44.531 (45.110)	Prec@5 76.562 (75.716)
Epoch: [52][9140/14090]	Time 0.769 (0.762)	Data 0.001 (0.001)	Loss 2.2274 (2.1735)	Prec@1 45.312 (45.112)	Prec@5 73.438 (75.716)
Epoch: [52][9150/14090]	Time 0.778 (0.762)	Data 0.001 (0.001)	Loss 2.0988 (2.1735)	Prec@1 41.406 (45.109)	Prec@5 76.562 (75.717)
Epoch: [52][9160/14090]	Time 0.762 (0.762)	Data 0.001 (0.001)	Loss 2.5267 (2.1736)	Prec@1 35.938 (45.107)	Prec@5 71.094 (75.717)
Epoch: [52][9170/14090]	Time 0.773 (0.762)	Data 0.001 (0.001)	Loss 2.2718 (2.1737)	Prec@1 45.312 (45.107)	Prec@5 74.219 (75.716)
Epoch: [52][9180/14090]	Time 0.803 (0.762)	Data 0.001 (0.001)	Loss 1.9678 (2.1737)	Prec@1 41.406 (45.104)	Prec@5 77.344 (75.714)
Epoch: [52][9190/14090]	Time 0.784 (0.762)	Data 0.001 (0.001)	Loss 2.2963 (2.1738)	Prec@1 41.406 (45.101)	Prec@5 73.438 (75.713)
Epoch: [52][9200/14090]	Time 0.773 (0.762)	Data 0.001 (0.001)	Loss 2.3805 (2.1738)	Prec@1 46.094 (45.101)	Prec@5 69.531 (75.712)
Epoch: [52][9210/14090]	Time 0.760 (0.762)	Data 0.001 (0.001)	Loss 2.3764 (2.1739)	Prec@1 43.750 (45.100)	Prec@5 70.312 (75.711)
Epoch: [52][9220/14090]	Time 0.765 (0.762)	Data 0.001 (0.001)	Loss 2.4785 (2.1739)	Prec@1 42.969 (45.100)	Prec@5 65.625 (75.710)
Epoch: [52][9230/14090]	Time 0.758 (0.762)	Data 0.001 (0.001)	Loss 2.1075 (2.1739)	Prec@1 45.312 (45.100)	Prec@5 75.000 (75.710)
Epoch: [52][9240/14090]	Time 0.804 (0.762)	Data 0.001 (0.001)	Loss 2.2147 (2.1738)	Prec@1 43.750 (45.101)	Prec@5 75.000 (75.711)
Epoch: [52][9250/14090]	Time 0.802 (0.762)	Data 0.001 (0.001)	Loss 2.4143 (2.1739)	Prec@1 37.500 (45.097)	Prec@5 68.750 (75.710)
Epoch: [52][9260/14090]	Time 0.760 (0.762)	Data 0.001 (0.001)	Loss 2.1631 (2.1740)	Prec@1 40.625 (45.096)	Prec@5 80.469 (75.710)
Epoch: [52][9270/14090]	Time 0.752 (0.762)	Data 0.001 (0.001)	Loss 1.9863 (2.1739)	Prec@1 47.656 (45.097)	Prec@5 77.344 (75.711)
Epoch: [52][9280/14090]	Time 0.754 (0.762)	Data 0.001 (0.001)	Loss 2.4940 (2.1740)	Prec@1 37.500 (45.095)	Prec@5 68.750 (75.709)
Epoch: [52][9290/14090]	Time 0.747 (0.762)	Data 0.001 (0.001)	Loss 2.3529 (2.1740)	Prec@1 42.188 (45.095)	Prec@5 74.219 (75.709)
Epoch: [52][9300/14090]	Time 0.750 (0.762)	Data 0.001 (0.001)	Loss 2.2503 (2.1740)	Prec@1 40.625 (45.093)	Prec@5 76.562 (75.708)
Epoch: [52][9310/14090]	Time 0.768 (0.762)	Data 0.001 (0.001)	Loss 2.0494 (2.1740)	Prec@1 50.781 (45.095)	Prec@5 75.781 (75.709)
Epoch: [52][9320/14090]	Time 0.828 (0.762)	Data 0.001 (0.001)	Loss 1.9995 (2.1740)	Prec@1 46.875 (45.097)	Prec@5 82.812 (75.709)
Epoch: [52][9330/14090]	Time 0.755 (0.762)	Data 0.001 (0.001)	Loss 1.9459 (2.1740)	Prec@1 52.344 (45.098)	Prec@5 78.125 (75.708)
Epoch: [52][9340/14090]	Time 0.771 (0.762)	Data 0.001 (0.001)	Loss 2.1215 (2.1740)	Prec@1 50.000 (45.100)	Prec@5 76.562 (75.707)
Epoch: [52][9350/14090]	Time 0.751 (0.762)	Data 0.001 (0.001)	Loss 2.1093 (2.1740)	Prec@1 46.094 (45.101)	Prec@5 79.688 (75.708)
Epoch: [52][9360/14090]	Time 0.753 (0.762)	Data 0.001 (0.001)	Loss 2.3063 (2.1740)	Prec@1 44.531 (45.103)	Prec@5 73.438 (75.708)
Epoch: [52][9370/14090]	Time 0.744 (0.762)	Data 0.001 (0.001)	Loss 2.6420 (2.1741)	Prec@1 37.500 (45.100)	Prec@5 69.531 (75.706)
Epoch: [52][9380/14090]	Time 0.730 (0.762)	Data 0.001 (0.001)	Loss 2.0463 (2.1742)	Prec@1 49.219 (45.099)	Prec@5 79.688 (75.705)
Epoch: [52][9390/14090]	Time 0.805 (0.762)	Data 0.001 (0.001)	Loss 2.2690 (2.1742)	Prec@1 44.531 (45.099)	Prec@5 75.781 (75.704)
Epoch: [52][9400/14090]	Time 0.782 (0.762)	Data 0.001 (0.001)	Loss 2.2535 (2.1742)	Prec@1 45.312 (45.100)	Prec@5 75.781 (75.706)
Epoch: [52][9410/14090]	Time 0.742 (0.762)	Data 0.001 (0.001)	Loss 2.2923 (2.1743)	Prec@1 40.625 (45.098)	Prec@5 72.656 (75.706)
Epoch: [52][9420/14090]	Time 0.743 (0.762)	Data 0.001 (0.001)	Loss 2.2980 (2.1743)	Prec@1 42.188 (45.099)	Prec@5 71.094 (75.706)
Epoch: [52][9430/14090]	Time 0.731 (0.762)	Data 0.001 (0.001)	Loss 2.4691 (2.1742)	Prec@1 35.938 (45.097)	Prec@5 69.531 (75.707)
Epoch: [52][9440/14090]	Time 0.744 (0.762)	Data 0.001 (0.001)	Loss 2.5561 (2.1743)	Prec@1 38.281 (45.096)	Prec@5 67.188 (75.707)
Epoch: [52][9450/14090]	Time 0.740 (0.762)	Data 0.001 (0.001)	Loss 2.3096 (2.1743)	Prec@1 45.312 (45.095)	Prec@5 76.562 (75.708)
Epoch: [52][9460/14090]	Time 0.763 (0.762)	Data 0.001 (0.001)	Loss 2.1540 (2.1743)	Prec@1 46.094 (45.096)	Prec@5 75.000 (75.708)
Epoch: [52][9470/14090]	Time 0.749 (0.762)	Data 0.001 (0.001)	Loss 2.2743 (2.1743)	Prec@1 36.719 (45.096)	Prec@5 75.781 (75.708)
Epoch: [52][9480/14090]	Time 0.774 (0.762)	Data 0.001 (0.001)	Loss 2.4223 (2.1743)	Prec@1 38.281 (45.095)	Prec@5 70.312 (75.708)
Epoch: [52][9490/14090]	Time 0.738 (0.762)	Data 0.001 (0.001)	Loss 2.2587 (2.1743)	Prec@1 42.969 (45.095)	Prec@5 73.438 (75.708)
Epoch: [52][9500/14090]	Time 0.759 (0.762)	Data 0.001 (0.001)	Loss 2.2390 (2.1743)	Prec@1 42.969 (45.096)	Prec@5 75.000 (75.708)
Epoch: [52][9510/14090]	Time 0.762 (0.762)	Data 0.001 (0.001)	Loss 2.1429 (2.1743)	Prec@1 42.969 (45.095)	Prec@5 77.344 (75.709)
Epoch: [52][9520/14090]	Time 0.729 (0.762)	Data 0.001 (0.001)	Loss 2.0822 (2.1742)	Prec@1 45.312 (45.095)	Prec@5 78.125 (75.710)
Epoch: [52][9530/14090]	Time 0.796 (0.762)	Data 0.001 (0.001)	Loss 2.2090 (2.1743)	Prec@1 41.406 (45.093)	Prec@5 77.344 (75.707)
Epoch: [52][9540/14090]	Time 0.749 (0.762)	Data 0.001 (0.001)	Loss 2.3499 (2.1743)	Prec@1 46.094 (45.092)	Prec@5 73.438 (75.707)
Epoch: [52][9550/14090]	Time 0.757 (0.762)	Data 0.001 (0.001)	Loss 1.8955 (2.1743)	Prec@1 53.125 (45.095)	Prec@5 79.688 (75.707)
Epoch: [52][9560/14090]	Time 0.723 (0.762)	Data 0.001 (0.001)	Loss 2.7767 (2.1743)	Prec@1 32.812 (45.094)	Prec@5 67.969 (75.708)
Epoch: [52][9570/14090]	Time 0.746 (0.762)	Data 0.001 (0.001)	Loss 2.0057 (2.1742)	Prec@1 50.781 (45.096)	Prec@5 81.250 (75.708)
Epoch: [52][9580/14090]	Time 0.733 (0.762)	Data 0.001 (0.001)	Loss 2.1667 (2.1743)	Prec@1 46.875 (45.095)	Prec@5 72.656 (75.706)
Epoch: [52][9590/14090]	Time 0.754 (0.762)	Data 0.001 (0.001)	Loss 2.3437 (2.1744)	Prec@1 42.188 (45.095)	Prec@5 73.438 (75.705)
Epoch: [52][9600/14090]	Time 0.910 (0.762)	Data 0.001 (0.001)	Loss 2.0977 (2.1744)	Prec@1 46.875 (45.095)	Prec@5 74.219 (75.704)
Epoch: [52][9610/14090]	Time 0.731 (0.762)	Data 0.001 (0.001)	Loss 2.2923 (2.1744)	Prec@1 46.875 (45.096)	Prec@5 74.219 (75.705)
Epoch: [52][9620/14090]	Time 0.751 (0.762)	Data 0.001 (0.001)	Loss 2.3880 (2.1744)	Prec@1 41.406 (45.095)	Prec@5 72.656 (75.704)
Epoch: [52][9630/14090]	Time 0.744 (0.762)	Data 0.001 (0.001)	Loss 2.1981 (2.1745)	Prec@1 45.312 (45.095)	Prec@5 71.875 (75.701)
Epoch: [52][9640/14090]	Time 0.728 (0.762)	Data 0.001 (0.001)	Loss 2.3116 (2.1744)	Prec@1 39.844 (45.095)	Prec@5 74.219 (75.703)
Epoch: [52][9650/14090]	Time 0.732 (0.762)	Data 0.001 (0.001)	Loss 2.4434 (2.1745)	Prec@1 39.844 (45.093)	Prec@5 77.344 (75.701)
Epoch: [52][9660/14090]	Time 0.750 (0.762)	Data 0.001 (0.001)	Loss 2.1184 (2.1745)	Prec@1 46.875 (45.094)	Prec@5 75.781 (75.702)
Epoch: [52][9670/14090]	Time 0.838 (0.762)	Data 0.001 (0.001)	Loss 1.9459 (2.1746)	Prec@1 50.781 (45.094)	Prec@5 77.344 (75.700)
Epoch: [52][9680/14090]	Time 0.772 (0.762)	Data 0.001 (0.001)	Loss 2.0846 (2.1746)	Prec@1 46.875 (45.093)	Prec@5 80.469 (75.699)
Epoch: [52][9690/14090]	Time 0.763 (0.762)	Data 0.001 (0.001)	Loss 2.0816 (2.1746)	Prec@1 46.094 (45.094)	Prec@5 79.688 (75.701)
Epoch: [52][9700/14090]	Time 0.757 (0.762)	Data 0.001 (0.001)	Loss 1.9185 (2.1746)	Prec@1 45.312 (45.094)	Prec@5 82.031 (75.702)
Epoch: [52][9710/14090]	Time 0.753 (0.762)	Data 0.001 (0.001)	Loss 2.2503 (2.1746)	Prec@1 46.875 (45.095)	Prec@5 75.781 (75.702)
Epoch: [52][9720/14090]	Time 0.753 (0.762)	Data 0.001 (0.001)	Loss 2.3917 (2.1746)	Prec@1 36.719 (45.094)	Prec@5 65.625 (75.702)
Epoch: [52][9730/14090]	Time 0.737 (0.762)	Data 0.001 (0.001)	Loss 2.1610 (2.1745)	Prec@1 46.094 (45.095)	Prec@5 76.562 (75.701)
Epoch: [52][9740/14090]	Time 0.843 (0.762)	Data 0.001 (0.001)	Loss 2.0941 (2.1745)	Prec@1 46.094 (45.097)	Prec@5 79.688 (75.702)
Epoch: [52][9750/14090]	Time 0.750 (0.762)	Data 0.001 (0.001)	Loss 2.1549 (2.1744)	Prec@1 45.312 (45.098)	Prec@5 78.125 (75.704)
Epoch: [52][9760/14090]	Time 0.789 (0.762)	Data 0.001 (0.001)	Loss 1.9962 (2.1744)	Prec@1 48.438 (45.099)	Prec@5 78.906 (75.705)
Epoch: [52][9770/14090]	Time 0.756 (0.762)	Data 0.001 (0.001)	Loss 1.9935 (2.1743)	Prec@1 44.531 (45.099)	Prec@5 81.250 (75.708)
Epoch: [52][9780/14090]	Time 0.752 (0.762)	Data 0.001 (0.001)	Loss 2.1382 (2.1743)	Prec@1 49.219 (45.100)	Prec@5 77.344 (75.707)
Epoch: [52][9790/14090]	Time 0.747 (0.762)	Data 0.001 (0.001)	Loss 2.3060 (2.1744)	Prec@1 44.531 (45.099)	Prec@5 73.438 (75.704)
Epoch: [52][9800/14090]	Time 0.753 (0.762)	Data 0.001 (0.001)	Loss 2.5188 (2.1744)	Prec@1 40.625 (45.100)	Prec@5 70.312 (75.705)
Epoch: [52][9810/14090]	Time 0.796 (0.762)	Data 0.001 (0.001)	Loss 2.1025 (2.1744)	Prec@1 46.094 (45.100)	Prec@5 74.219 (75.705)
Epoch: [52][9820/14090]	Time 0.739 (0.762)	Data 0.001 (0.001)	Loss 2.2680 (2.1744)	Prec@1 36.719 (45.099)	Prec@5 76.562 (75.703)
Epoch: [52][9830/14090]	Time 0.772 (0.762)	Data 0.001 (0.001)	Loss 2.0682 (2.1743)	Prec@1 50.781 (45.104)	Prec@5 74.219 (75.705)
Epoch: [52][9840/14090]	Time 0.743 (0.762)	Data 0.001 (0.001)	Loss 2.2082 (2.1743)	Prec@1 44.531 (45.104)	Prec@5 73.438 (75.704)
Epoch: [52][9850/14090]	Time 0.740 (0.762)	Data 0.001 (0.001)	Loss 2.3162 (2.1743)	Prec@1 42.188 (45.104)	Prec@5 73.438 (75.705)
Epoch: [52][9860/14090]	Time 0.757 (0.762)	Data 0.001 (0.001)	Loss 2.1888 (2.1743)	Prec@1 45.312 (45.106)	Prec@5 76.562 (75.704)
Epoch: [52][9870/14090]	Time 0.779 (0.762)	Data 0.001 (0.001)	Loss 2.0687 (2.1743)	Prec@1 46.875 (45.106)	Prec@5 78.906 (75.704)
Epoch: [52][9880/14090]	Time 0.854 (0.762)	Data 0.001 (0.001)	Loss 2.1482 (2.1743)	Prec@1 41.406 (45.103)	Prec@5 74.219 (75.703)
Epoch: [52][9890/14090]	Time 0.731 (0.762)	Data 0.001 (0.001)	Loss 2.3120 (2.1744)	Prec@1 42.188 (45.103)	Prec@5 75.000 (75.701)
Epoch: [52][9900/14090]	Time 0.747 (0.762)	Data 0.001 (0.001)	Loss 2.5945 (2.1744)	Prec@1 38.281 (45.100)	Prec@5 67.188 (75.702)
Epoch: [52][9910/14090]	Time 0.739 (0.762)	Data 0.001 (0.001)	Loss 2.1361 (2.1744)	Prec@1 46.094 (45.099)	Prec@5 75.000 (75.702)
Epoch: [52][9920/14090]	Time 0.787 (0.762)	Data 0.001 (0.001)	Loss 2.2864 (2.1745)	Prec@1 43.750 (45.098)	Prec@5 78.906 (75.701)
Epoch: [52][9930/14090]	Time 0.750 (0.762)	Data 0.001 (0.001)	Loss 2.3641 (2.1745)	Prec@1 40.625 (45.098)	Prec@5 71.094 (75.699)
Epoch: [52][9940/14090]	Time 0.751 (0.762)	Data 0.001 (0.001)	Loss 2.2941 (2.1745)	Prec@1 42.969 (45.099)	Prec@5 78.906 (75.700)
Epoch: [52][9950/14090]	Time 0.775 (0.762)	Data 0.001 (0.001)	Loss 2.5087 (2.1745)	Prec@1 38.281 (45.100)	Prec@5 71.875 (75.699)
Epoch: [52][9960/14090]	Time 0.745 (0.762)	Data 0.001 (0.001)	Loss 2.4519 (2.1745)	Prec@1 36.719 (45.099)	Prec@5 72.656 (75.698)
Epoch: [52][9970/14090]	Time 0.739 (0.762)	Data 0.001 (0.001)	Loss 2.4633 (2.1746)	Prec@1 42.969 (45.097)	Prec@5 69.531 (75.697)
Epoch: [52][9980/14090]	Time 0.733 (0.762)	Data 0.001 (0.001)	Loss 1.9696 (2.1746)	Prec@1 53.125 (45.099)	Prec@5 75.781 (75.698)
Epoch: [52][9990/14090]	Time 0.742 (0.762)	Data 0.001 (0.001)	Loss 2.0314 (2.1745)	Prec@1 52.344 (45.100)	Prec@5 75.781 (75.699)
Epoch: [52][10000/14090]	Time 0.755 (0.762)	Data 0.002 (0.001)	Loss 2.1468 (2.1746)	Prec@1 48.438 (45.100)	Prec@5 74.219 (75.698)
Epoch: [52][10010/14090]	Time 0.789 (0.762)	Data 0.001 (0.001)	Loss 2.1779 (2.1746)	Prec@1 48.438 (45.101)	Prec@5 75.000 (75.697)
Epoch: [52][10020/14090]	Time 0.831 (0.762)	Data 0.001 (0.001)	Loss 1.8238 (2.1745)	Prec@1 47.656 (45.103)	Prec@5 85.156 (75.700)
Epoch: [52][10030/14090]	Time 0.721 (0.762)	Data 0.001 (0.001)	Loss 2.1462 (2.1745)	Prec@1 46.094 (45.103)	Prec@5 72.656 (75.699)
Epoch: [52][10040/14090]	Time 0.785 (0.762)	Data 0.001 (0.001)	Loss 2.3184 (2.1746)	Prec@1 37.500 (45.103)	Prec@5 75.000 (75.699)
Epoch: [52][10050/14090]	Time 0.727 (0.762)	Data 0.003 (0.001)	Loss 2.2782 (2.1746)	Prec@1 45.312 (45.102)	Prec@5 75.000 (75.698)
Epoch: [52][10060/14090]	Time 0.731 (0.762)	Data 0.001 (0.001)	Loss 2.1222 (2.1745)	Prec@1 48.438 (45.105)	Prec@5 74.219 (75.701)
Epoch: [52][10070/14090]	Time 0.731 (0.762)	Data 0.001 (0.001)	Loss 2.1969 (2.1744)	Prec@1 44.531 (45.105)	Prec@5 75.000 (75.703)
Epoch: [52][10080/14090]	Time 0.731 (0.762)	Data 0.001 (0.001)	Loss 2.0016 (2.1744)	Prec@1 50.781 (45.106)	Prec@5 76.562 (75.702)
Epoch: [52][10090/14090]	Time 0.863 (0.762)	Data 0.002 (0.001)	Loss 2.0823 (2.1744)	Prec@1 41.406 (45.104)	Prec@5 79.688 (75.703)
Epoch: [52][10100/14090]	Time 0.745 (0.762)	Data 0.001 (0.001)	Loss 2.2396 (2.1744)	Prec@1 43.750 (45.107)	Prec@5 73.438 (75.704)
Epoch: [52][10110/14090]	Time 0.729 (0.762)	Data 0.001 (0.001)	Loss 2.1545 (2.1744)	Prec@1 47.656 (45.106)	Prec@5 77.344 (75.705)
Epoch: [52][10120/14090]	Time 0.733 (0.762)	Data 0.001 (0.001)	Loss 2.0089 (2.1743)	Prec@1 49.219 (45.106)	Prec@5 76.562 (75.704)
Epoch: [52][10130/14090]	Time 0.758 (0.762)	Data 0.001 (0.001)	Loss 2.1034 (2.1743)	Prec@1 45.312 (45.107)	Prec@5 77.344 (75.704)
Epoch: [52][10140/14090]	Time 0.757 (0.762)	Data 0.001 (0.001)	Loss 2.5253 (2.1743)	Prec@1 40.625 (45.107)	Prec@5 69.531 (75.705)
Epoch: [52][10150/14090]	Time 0.752 (0.762)	Data 0.001 (0.001)	Loss 2.2092 (2.1744)	Prec@1 42.188 (45.107)	Prec@5 75.781 (75.703)
Epoch: [52][10160/14090]	Time 0.902 (0.762)	Data 0.001 (0.001)	Loss 1.9760 (2.1743)	Prec@1 50.000 (45.109)	Prec@5 79.688 (75.704)
Epoch: [52][10170/14090]	Time 0.733 (0.762)	Data 0.004 (0.001)	Loss 2.0861 (2.1743)	Prec@1 48.438 (45.112)	Prec@5 80.469 (75.705)
Epoch: [52][10180/14090]	Time 0.757 (0.762)	Data 0.001 (0.001)	Loss 1.9115 (2.1743)	Prec@1 47.656 (45.112)	Prec@5 82.031 (75.705)
Epoch: [52][10190/14090]	Time 0.724 (0.762)	Data 0.001 (0.001)	Loss 2.0683 (2.1743)	Prec@1 48.438 (45.111)	Prec@5 77.344 (75.704)
Epoch: [52][10200/14090]	Time 0.752 (0.762)	Data 0.001 (0.001)	Loss 2.0077 (2.1743)	Prec@1 50.781 (45.114)	Prec@5 77.344 (75.703)
Epoch: [52][10210/14090]	Time 0.757 (0.762)	Data 0.001 (0.001)	Loss 2.1814 (2.1743)	Prec@1 42.969 (45.114)	Prec@5 77.344 (75.704)
Epoch: [52][10220/14090]	Time 0.748 (0.762)	Data 0.001 (0.001)	Loss 2.0019 (2.1743)	Prec@1 47.656 (45.114)	Prec@5 81.250 (75.706)
Epoch: [52][10230/14090]	Time 0.849 (0.762)	Data 0.001 (0.001)	Loss 2.0310 (2.1743)	Prec@1 55.469 (45.114)	Prec@5 78.906 (75.706)
Epoch: [52][10240/14090]	Time 0.766 (0.762)	Data 0.001 (0.001)	Loss 1.8036 (2.1743)	Prec@1 55.469 (45.114)	Prec@5 82.812 (75.707)
Epoch: [52][10250/14090]	Time 0.745 (0.762)	Data 0.001 (0.001)	Loss 2.3754 (2.1742)	Prec@1 42.188 (45.115)	Prec@5 70.312 (75.706)
Epoch: [52][10260/14090]	Time 0.782 (0.762)	Data 0.001 (0.001)	Loss 2.0367 (2.1742)	Prec@1 53.125 (45.115)	Prec@5 72.656 (75.708)
Epoch: [52][10270/14090]	Time 0.727 (0.762)	Data 0.001 (0.001)	Loss 2.4700 (2.1743)	Prec@1 36.719 (45.115)	Prec@5 70.312 (75.706)
Epoch: [52][10280/14090]	Time 0.736 (0.762)	Data 0.001 (0.001)	Loss 2.1650 (2.1742)	Prec@1 43.750 (45.116)	Prec@5 74.219 (75.705)
Epoch: [52][10290/14090]	Time 0.729 (0.762)	Data 0.001 (0.001)	Loss 2.1272 (2.1742)	Prec@1 47.656 (45.116)	Prec@5 75.000 (75.706)
Epoch: [52][10300/14090]	Time 0.816 (0.762)	Data 0.001 (0.001)	Loss 2.2338 (2.1743)	Prec@1 42.188 (45.114)	Prec@5 76.562 (75.706)
Epoch: [52][10310/14090]	Time 0.734 (0.762)	Data 0.001 (0.001)	Loss 2.2136 (2.1743)	Prec@1 41.406 (45.113)	Prec@5 75.000 (75.705)
Epoch: [52][10320/14090]	Time 0.748 (0.762)	Data 0.001 (0.001)	Loss 2.1118 (2.1743)	Prec@1 45.312 (45.111)	Prec@5 77.344 (75.704)
Epoch: [52][10330/14090]	Time 0.762 (0.762)	Data 0.001 (0.001)	Loss 2.1827 (2.1744)	Prec@1 40.625 (45.109)	Prec@5 74.219 (75.703)
Epoch: [52][10340/14090]	Time 0.752 (0.762)	Data 0.001 (0.001)	Loss 1.9377 (2.1743)	Prec@1 46.094 (45.109)	Prec@5 82.031 (75.703)
Epoch: [52][10350/14090]	Time 0.731 (0.762)	Data 0.001 (0.001)	Loss 2.0422 (2.1744)	Prec@1 47.656 (45.107)	Prec@5 78.125 (75.702)
Epoch: [52][10360/14090]	Time 0.740 (0.762)	Data 0.001 (0.001)	Loss 2.0470 (2.1744)	Prec@1 50.000 (45.107)	Prec@5 75.000 (75.701)
Epoch: [52][10370/14090]	Time 0.792 (0.762)	Data 0.001 (0.001)	Loss 2.2705 (2.1744)	Prec@1 39.062 (45.106)	Prec@5 71.875 (75.702)
Epoch: [52][10380/14090]	Time 0.763 (0.762)	Data 0.001 (0.001)	Loss 2.2190 (2.1744)	Prec@1 43.750 (45.105)	Prec@5 77.344 (75.702)
Epoch: [52][10390/14090]	Time 0.727 (0.762)	Data 0.001 (0.001)	Loss 2.2055 (2.1745)	Prec@1 42.969 (45.103)	Prec@5 71.875 (75.700)
Epoch: [52][10400/14090]	Time 0.724 (0.762)	Data 0.001 (0.001)	Loss 2.5694 (2.1745)	Prec@1 39.062 (45.101)	Prec@5 71.875 (75.700)
Epoch: [52][10410/14090]	Time 0.752 (0.762)	Data 0.001 (0.001)	Loss 2.1215 (2.1745)	Prec@1 47.656 (45.101)	Prec@5 78.125 (75.701)
Epoch: [52][10420/14090]	Time 0.736 (0.762)	Data 0.001 (0.001)	Loss 2.0499 (2.1745)	Prec@1 48.438 (45.102)	Prec@5 77.344 (75.702)
Epoch: [52][10430/14090]	Time 0.720 (0.762)	Data 0.001 (0.001)	Loss 2.1482 (2.1746)	Prec@1 42.969 (45.101)	Prec@5 73.438 (75.701)
Epoch: [52][10440/14090]	Time 0.891 (0.762)	Data 0.001 (0.001)	Loss 2.2230 (2.1746)	Prec@1 40.625 (45.100)	Prec@5 75.781 (75.701)
Epoch: [52][10450/14090]	Time 0.758 (0.762)	Data 0.001 (0.001)	Loss 2.5993 (2.1746)	Prec@1 33.594 (45.100)	Prec@5 70.312 (75.702)
Epoch: [52][10460/14090]	Time 0.787 (0.762)	Data 0.001 (0.001)	Loss 2.3758 (2.1746)	Prec@1 40.625 (45.099)	Prec@5 68.750 (75.701)
Epoch: [52][10470/14090]	Time 0.728 (0.762)	Data 0.001 (0.001)	Loss 2.1571 (2.1747)	Prec@1 42.188 (45.096)	Prec@5 77.344 (75.699)
Epoch: [52][10480/14090]	Time 0.740 (0.762)	Data 0.001 (0.001)	Loss 2.2395 (2.1747)	Prec@1 45.312 (45.094)	Prec@5 71.094 (75.698)
Epoch: [52][10490/14090]	Time 0.731 (0.762)	Data 0.000 (0.001)	Loss 2.1959 (2.1748)	Prec@1 42.188 (45.092)	Prec@5 71.875 (75.696)
Epoch: [52][10500/14090]	Time 0.744 (0.762)	Data 0.001 (0.001)	Loss 2.1897 (2.1748)	Prec@1 49.219 (45.093)	Prec@5 72.656 (75.695)
Epoch: [52][10510/14090]	Time 0.826 (0.762)	Data 0.001 (0.001)	Loss 2.2858 (2.1748)	Prec@1 45.312 (45.092)	Prec@5 74.219 (75.695)
Epoch: [52][10520/14090]	Time 0.736 (0.762)	Data 0.001 (0.001)	Loss 2.4445 (2.1749)	Prec@1 37.500 (45.088)	Prec@5 69.531 (75.693)
Epoch: [52][10530/14090]	Time 0.734 (0.762)	Data 0.001 (0.001)	Loss 1.9680 (2.1749)	Prec@1 45.312 (45.088)	Prec@5 77.344 (75.694)
Epoch: [52][10540/14090]	Time 0.741 (0.762)	Data 0.001 (0.001)	Loss 2.0287 (2.1749)	Prec@1 46.875 (45.087)	Prec@5 76.562 (75.695)
Epoch: [52][10550/14090]	Time 0.746 (0.762)	Data 0.001 (0.001)	Loss 2.4045 (2.1750)	Prec@1 41.406 (45.084)	Prec@5 66.406 (75.693)
Epoch: [52][10560/14090]	Time 0.757 (0.762)	Data 0.001 (0.001)	Loss 2.2325 (2.1750)	Prec@1 45.312 (45.084)	Prec@5 75.781 (75.692)
Epoch: [52][10570/14090]	Time 0.766 (0.762)	Data 0.001 (0.001)	Loss 2.1840 (2.1750)	Prec@1 51.562 (45.085)	Prec@5 76.562 (75.693)
Epoch: [52][10580/14090]	Time 0.796 (0.762)	Data 0.001 (0.001)	Loss 2.1696 (2.1750)	Prec@1 45.312 (45.085)	Prec@5 76.562 (75.693)
Epoch: [52][10590/14090]	Time 0.755 (0.762)	Data 0.001 (0.001)	Loss 2.0196 (2.1751)	Prec@1 46.875 (45.085)	Prec@5 76.562 (75.693)
Epoch: [52][10600/14090]	Time 0.754 (0.762)	Data 0.001 (0.001)	Loss 2.1783 (2.1750)	Prec@1 46.094 (45.086)	Prec@5 77.344 (75.694)
Epoch: [52][10610/14090]	Time 0.740 (0.762)	Data 0.001 (0.001)	Loss 1.9943 (2.1750)	Prec@1 50.781 (45.086)	Prec@5 78.125 (75.694)
Epoch: [52][10620/14090]	Time 0.733 (0.762)	Data 0.001 (0.001)	Loss 2.4269 (2.1750)	Prec@1 42.969 (45.086)	Prec@5 74.219 (75.693)
Epoch: [52][10630/14090]	Time 0.724 (0.762)	Data 0.001 (0.001)	Loss 2.0125 (2.1750)	Prec@1 47.656 (45.088)	Prec@5 79.688 (75.693)
Epoch: [52][10640/14090]	Time 0.754 (0.761)	Data 0.001 (0.001)	Loss 2.2893 (2.1751)	Prec@1 44.531 (45.087)	Prec@5 72.656 (75.692)
Epoch: [52][10650/14090]	Time 0.826 (0.761)	Data 0.001 (0.001)	Loss 2.2197 (2.1751)	Prec@1 45.312 (45.087)	Prec@5 74.219 (75.691)
Epoch: [52][10660/14090]	Time 0.760 (0.761)	Data 0.001 (0.001)	Loss 2.1438 (2.1751)	Prec@1 46.094 (45.088)	Prec@5 78.125 (75.691)
Epoch: [52][10670/14090]	Time 0.732 (0.761)	Data 0.001 (0.001)	Loss 2.3800 (2.1751)	Prec@1 40.625 (45.086)	Prec@5 75.781 (75.690)
Epoch: [52][10680/14090]	Time 0.782 (0.761)	Data 0.001 (0.001)	Loss 2.2848 (2.1751)	Prec@1 42.188 (45.087)	Prec@5 71.094 (75.688)
Epoch: [52][10690/14090]	Time 0.742 (0.761)	Data 0.001 (0.001)	Loss 2.1389 (2.1751)	Prec@1 44.531 (45.088)	Prec@5 79.688 (75.688)
Epoch: [52][10700/14090]	Time 0.749 (0.761)	Data 0.001 (0.001)	Loss 2.1516 (2.1750)	Prec@1 46.094 (45.090)	Prec@5 75.781 (75.689)
Epoch: [52][10710/14090]	Time 0.748 (0.761)	Data 0.001 (0.001)	Loss 2.0760 (2.1751)	Prec@1 46.875 (45.089)	Prec@5 80.469 (75.689)
Epoch: [52][10720/14090]	Time 0.780 (0.761)	Data 0.001 (0.001)	Loss 2.2442 (2.1751)	Prec@1 40.625 (45.088)	Prec@5 73.438 (75.689)
Epoch: [52][10730/14090]	Time 0.744 (0.761)	Data 0.001 (0.001)	Loss 2.3920 (2.1751)	Prec@1 38.281 (45.087)	Prec@5 73.438 (75.689)
Epoch: [52][10740/14090]	Time 0.767 (0.761)	Data 0.001 (0.001)	Loss 1.8860 (2.1751)	Prec@1 47.656 (45.087)	Prec@5 83.594 (75.689)
Epoch: [52][10750/14090]	Time 0.749 (0.761)	Data 0.001 (0.001)	Loss 2.2067 (2.1752)	Prec@1 45.312 (45.085)	Prec@5 75.781 (75.688)
Epoch: [52][10760/14090]	Time 0.730 (0.761)	Data 0.001 (0.001)	Loss 2.3184 (2.1752)	Prec@1 37.500 (45.084)	Prec@5 77.344 (75.687)
Epoch: [52][10770/14090]	Time 0.762 (0.761)	Data 0.002 (0.001)	Loss 1.9979 (2.1752)	Prec@1 53.906 (45.086)	Prec@5 82.812 (75.689)
Epoch: [52][10780/14090]	Time 0.780 (0.761)	Data 0.001 (0.001)	Loss 2.1572 (2.1751)	Prec@1 41.406 (45.085)	Prec@5 75.781 (75.690)
Epoch: [52][10790/14090]	Time 0.796 (0.761)	Data 0.001 (0.001)	Loss 2.1398 (2.1751)	Prec@1 46.094 (45.085)	Prec@5 79.688 (75.691)
Epoch: [52][10800/14090]	Time 0.737 (0.761)	Data 0.001 (0.001)	Loss 2.0762 (2.1752)	Prec@1 48.438 (45.084)	Prec@5 79.688 (75.690)
Epoch: [52][10810/14090]	Time 0.726 (0.761)	Data 0.001 (0.001)	Loss 2.3143 (2.1752)	Prec@1 42.969 (45.082)	Prec@5 75.781 (75.689)
Epoch: [52][10820/14090]	Time 0.760 (0.761)	Data 0.001 (0.001)	Loss 2.2233 (2.1752)	Prec@1 43.750 (45.084)	Prec@5 73.438 (75.690)
Epoch: [52][10830/14090]	Time 0.768 (0.761)	Data 0.001 (0.001)	Loss 2.2021 (2.1753)	Prec@1 46.875 (45.082)	Prec@5 78.906 (75.689)
Epoch: [52][10840/14090]	Time 0.756 (0.761)	Data 0.001 (0.001)	Loss 2.2147 (2.1754)	Prec@1 46.875 (45.081)	Prec@5 75.000 (75.686)
Epoch: [52][10850/14090]	Time 0.725 (0.761)	Data 0.001 (0.001)	Loss 2.3395 (2.1753)	Prec@1 42.969 (45.082)	Prec@5 70.312 (75.687)
Epoch: [52][10860/14090]	Time 0.799 (0.761)	Data 0.001 (0.001)	Loss 1.9158 (2.1753)	Prec@1 50.000 (45.080)	Prec@5 79.688 (75.688)
Epoch: [52][10870/14090]	Time 0.730 (0.761)	Data 0.001 (0.001)	Loss 2.2908 (2.1754)	Prec@1 50.000 (45.080)	Prec@5 73.438 (75.687)
Epoch: [52][10880/14090]	Time 0.773 (0.761)	Data 0.001 (0.001)	Loss 2.1096 (2.1754)	Prec@1 42.969 (45.079)	Prec@5 75.781 (75.686)
Epoch: [52][10890/14090]	Time 0.751 (0.761)	Data 0.001 (0.001)	Loss 1.9824 (2.1754)	Prec@1 42.969 (45.077)	Prec@5 85.156 (75.685)
Epoch: [52][10900/14090]	Time 0.740 (0.761)	Data 0.001 (0.001)	Loss 2.6165 (2.1755)	Prec@1 36.719 (45.076)	Prec@5 70.312 (75.685)
Epoch: [52][10910/14090]	Time 0.721 (0.761)	Data 0.001 (0.001)	Loss 2.2740 (2.1754)	Prec@1 42.969 (45.075)	Prec@5 73.438 (75.685)
Epoch: [52][10920/14090]	Time 0.727 (0.761)	Data 0.001 (0.001)	Loss 2.2403 (2.1755)	Prec@1 50.781 (45.074)	Prec@5 71.094 (75.683)
Epoch: [52][10930/14090]	Time 0.769 (0.761)	Data 0.001 (0.001)	Loss 1.8959 (2.1755)	Prec@1 50.781 (45.075)	Prec@5 78.906 (75.684)
Epoch: [52][10940/14090]	Time 0.756 (0.761)	Data 0.001 (0.001)	Loss 1.8855 (2.1755)	Prec@1 55.469 (45.075)	Prec@5 81.250 (75.683)
Epoch: [52][10950/14090]	Time 0.747 (0.761)	Data 0.001 (0.001)	Loss 1.9562 (2.1754)	Prec@1 52.344 (45.077)	Prec@5 80.469 (75.684)
Epoch: [52][10960/14090]	Time 0.764 (0.761)	Data 0.001 (0.001)	Loss 2.1068 (2.1755)	Prec@1 48.438 (45.075)	Prec@5 75.781 (75.682)
Epoch: [52][10970/14090]	Time 0.740 (0.761)	Data 0.001 (0.001)	Loss 2.4296 (2.1755)	Prec@1 40.625 (45.075)	Prec@5 68.750 (75.681)
Epoch: [52][10980/14090]	Time 0.742 (0.761)	Data 0.001 (0.001)	Loss 2.4059 (2.1754)	Prec@1 42.188 (45.076)	Prec@5 71.875 (75.683)
Epoch: [52][10990/14090]	Time 0.726 (0.761)	Data 0.001 (0.001)	Loss 2.3015 (2.1754)	Prec@1 40.625 (45.078)	Prec@5 72.656 (75.682)
Epoch: [52][11000/14090]	Time 0.789 (0.761)	Data 0.001 (0.001)	Loss 2.4399 (2.1755)	Prec@1 39.062 (45.078)	Prec@5 72.656 (75.681)
Epoch: [52][11010/14090]	Time 0.774 (0.761)	Data 0.001 (0.001)	Loss 2.2536 (2.1754)	Prec@1 42.188 (45.077)	Prec@5 76.562 (75.682)
Epoch: [52][11020/14090]	Time 0.748 (0.761)	Data 0.001 (0.001)	Loss 2.3634 (2.1754)	Prec@1 45.312 (45.077)	Prec@5 72.656 (75.683)
Epoch: [52][11030/14090]	Time 0.779 (0.761)	Data 0.001 (0.001)	Loss 2.4118 (2.1755)	Prec@1 39.062 (45.076)	Prec@5 69.531 (75.682)
Epoch: [52][11040/14090]	Time 0.752 (0.761)	Data 0.001 (0.001)	Loss 2.3850 (2.1755)	Prec@1 38.281 (45.076)	Prec@5 75.000 (75.681)
Epoch: [52][11050/14090]	Time 0.722 (0.761)	Data 0.001 (0.001)	Loss 2.4834 (2.1756)	Prec@1 40.625 (45.076)	Prec@5 71.875 (75.681)
Epoch: [52][11060/14090]	Time 0.742 (0.761)	Data 0.001 (0.001)	Loss 2.1286 (2.1755)	Prec@1 42.969 (45.075)	Prec@5 76.562 (75.682)
Epoch: [52][11070/14090]	Time 0.793 (0.761)	Data 0.001 (0.001)	Loss 2.2200 (2.1756)	Prec@1 45.312 (45.076)	Prec@5 72.656 (75.681)
Epoch: [52][11080/14090]	Time 0.772 (0.761)	Data 0.001 (0.001)	Loss 2.3003 (2.1756)	Prec@1 45.312 (45.075)	Prec@5 71.094 (75.680)
Epoch: [52][11090/14090]	Time 0.730 (0.761)	Data 0.001 (0.001)	Loss 2.2083 (2.1756)	Prec@1 43.750 (45.075)	Prec@5 71.094 (75.680)
Epoch: [52][11100/14090]	Time 0.752 (0.761)	Data 0.001 (0.001)	Loss 2.1261 (2.1756)	Prec@1 45.312 (45.075)	Prec@5 74.219 (75.679)
Epoch: [52][11110/14090]	Time 0.756 (0.761)	Data 0.001 (0.001)	Loss 2.3737 (2.1755)	Prec@1 46.094 (45.075)	Prec@5 73.438 (75.680)
Epoch: [52][11120/14090]	Time 0.758 (0.761)	Data 0.001 (0.001)	Loss 1.9624 (2.1755)	Prec@1 46.875 (45.076)	Prec@5 81.250 (75.680)
Epoch: [52][11130/14090]	Time 0.766 (0.761)	Data 0.001 (0.001)	Loss 2.1928 (2.1755)	Prec@1 39.062 (45.075)	Prec@5 76.562 (75.680)
Epoch: [52][11140/14090]	Time 0.754 (0.761)	Data 0.001 (0.001)	Loss 2.2923 (2.1756)	Prec@1 43.750 (45.072)	Prec@5 75.781 (75.679)
Epoch: [52][11150/14090]	Time 0.755 (0.761)	Data 0.001 (0.001)	Loss 2.4589 (2.1756)	Prec@1 39.062 (45.073)	Prec@5 71.875 (75.680)
Epoch: [52][11160/14090]	Time 0.757 (0.761)	Data 0.001 (0.001)	Loss 2.2392 (2.1756)	Prec@1 49.219 (45.074)	Prec@5 76.562 (75.681)
Epoch: [52][11170/14090]	Time 0.800 (0.761)	Data 0.001 (0.001)	Loss 2.2488 (2.1756)	Prec@1 33.594 (45.072)	Prec@5 78.906 (75.681)
Epoch: [52][11180/14090]	Time 0.741 (0.761)	Data 0.001 (0.001)	Loss 2.2385 (2.1757)	Prec@1 51.562 (45.072)	Prec@5 72.656 (75.679)
Epoch: [52][11190/14090]	Time 0.738 (0.761)	Data 0.001 (0.001)	Loss 2.0551 (2.1756)	Prec@1 45.312 (45.073)	Prec@5 81.250 (75.681)
Epoch: [52][11200/14090]	Time 0.783 (0.761)	Data 0.001 (0.001)	Loss 1.9535 (2.1756)	Prec@1 49.219 (45.073)	Prec@5 75.781 (75.679)
Epoch: [52][11210/14090]	Time 0.798 (0.761)	Data 0.001 (0.001)	Loss 2.1526 (2.1756)	Prec@1 41.406 (45.072)	Prec@5 78.125 (75.679)
Epoch: [52][11220/14090]	Time 0.759 (0.761)	Data 0.001 (0.001)	Loss 2.1307 (2.1757)	Prec@1 45.312 (45.073)	Prec@5 78.906 (75.678)
Epoch: [52][11230/14090]	Time 0.761 (0.761)	Data 0.001 (0.001)	Loss 2.3547 (2.1757)	Prec@1 44.531 (45.072)	Prec@5 71.875 (75.676)
Epoch: [52][11240/14090]	Time 0.737 (0.761)	Data 0.001 (0.001)	Loss 1.8441 (2.1758)	Prec@1 50.000 (45.071)	Prec@5 80.469 (75.674)
Epoch: [52][11250/14090]	Time 0.762 (0.761)	Data 0.001 (0.001)	Loss 2.4306 (2.1758)	Prec@1 42.188 (45.071)	Prec@5 68.750 (75.675)
Epoch: [52][11260/14090]	Time 0.746 (0.761)	Data 0.001 (0.001)	Loss 1.9668 (2.1757)	Prec@1 46.875 (45.072)	Prec@5 80.469 (75.676)
Epoch: [52][11270/14090]	Time 0.730 (0.761)	Data 0.001 (0.001)	Loss 2.1240 (2.1757)	Prec@1 41.406 (45.071)	Prec@5 78.125 (75.677)
Epoch: [52][11280/14090]	Time 0.802 (0.761)	Data 0.001 (0.001)	Loss 2.2988 (2.1758)	Prec@1 42.969 (45.069)	Prec@5 70.312 (75.675)
Epoch: [52][11290/14090]	Time 0.725 (0.761)	Data 0.001 (0.001)	Loss 2.1077 (2.1758)	Prec@1 48.438 (45.068)	Prec@5 76.562 (75.674)
Epoch: [52][11300/14090]	Time 0.741 (0.761)	Data 0.001 (0.001)	Loss 1.9417 (2.1758)	Prec@1 50.000 (45.069)	Prec@5 75.781 (75.676)
Epoch: [52][11310/14090]	Time 0.754 (0.761)	Data 0.001 (0.001)	Loss 2.0883 (2.1758)	Prec@1 48.438 (45.068)	Prec@5 80.469 (75.676)
Epoch: [52][11320/14090]	Time 0.747 (0.761)	Data 0.001 (0.001)	Loss 2.1961 (2.1758)	Prec@1 40.625 (45.067)	Prec@5 78.125 (75.676)
Epoch: [52][11330/14090]	Time 0.735 (0.761)	Data 0.001 (0.001)	Loss 2.2429 (2.1758)	Prec@1 44.531 (45.064)	Prec@5 75.781 (75.675)
Epoch: [52][11340/14090]	Time 0.730 (0.761)	Data 0.001 (0.001)	Loss 2.4439 (2.1759)	Prec@1 42.969 (45.064)	Prec@5 68.750 (75.675)
Epoch: [52][11350/14090]	Time 0.808 (0.761)	Data 0.002 (0.001)	Loss 2.0522 (2.1759)	Prec@1 50.000 (45.065)	Prec@5 75.781 (75.674)
Epoch: [52][11360/14090]	Time 0.759 (0.761)	Data 0.001 (0.001)	Loss 2.0999 (2.1758)	Prec@1 53.125 (45.066)	Prec@5 74.219 (75.674)
Epoch: [52][11370/14090]	Time 0.766 (0.761)	Data 0.001 (0.001)	Loss 2.2748 (2.1758)	Prec@1 37.500 (45.068)	Prec@5 73.438 (75.673)
Epoch: [52][11380/14090]	Time 0.743 (0.761)	Data 0.001 (0.001)	Loss 2.3810 (2.1758)	Prec@1 39.062 (45.068)	Prec@5 70.312 (75.675)
Epoch: [52][11390/14090]	Time 0.724 (0.761)	Data 0.001 (0.001)	Loss 2.1186 (2.1758)	Prec@1 47.656 (45.068)	Prec@5 75.000 (75.675)
Epoch: [52][11400/14090]	Time 0.754 (0.761)	Data 0.001 (0.001)	Loss 2.2822 (2.1758)	Prec@1 42.188 (45.068)	Prec@5 72.656 (75.675)
Epoch: [52][11410/14090]	Time 0.731 (0.761)	Data 0.001 (0.001)	Loss 2.0965 (2.1758)	Prec@1 42.188 (45.066)	Prec@5 75.781 (75.675)
Epoch: [52][11420/14090]	Time 0.791 (0.761)	Data 0.001 (0.001)	Loss 2.6126 (2.1758)	Prec@1 39.062 (45.069)	Prec@5 71.094 (75.675)
Epoch: [52][11430/14090]	Time 0.748 (0.761)	Data 0.001 (0.001)	Loss 2.1069 (2.1757)	Prec@1 46.875 (45.069)	Prec@5 76.562 (75.677)
Epoch: [52][11440/14090]	Time 0.776 (0.761)	Data 0.001 (0.001)	Loss 1.9713 (2.1757)	Prec@1 57.031 (45.070)	Prec@5 78.906 (75.677)
Epoch: [52][11450/14090]	Time 0.787 (0.761)	Data 0.001 (0.001)	Loss 2.1645 (2.1757)	Prec@1 44.531 (45.070)	Prec@5 76.562 (75.678)
Epoch: [52][11460/14090]	Time 0.731 (0.761)	Data 0.001 (0.001)	Loss 2.1511 (2.1756)	Prec@1 46.875 (45.071)	Prec@5 78.125 (75.678)
Epoch: [52][11470/14090]	Time 0.756 (0.761)	Data 0.001 (0.001)	Loss 2.4847 (2.1757)	Prec@1 38.281 (45.069)	Prec@5 69.531 (75.678)
Epoch: [52][11480/14090]	Time 0.740 (0.761)	Data 0.001 (0.001)	Loss 2.0936 (2.1757)	Prec@1 48.438 (45.068)	Prec@5 73.438 (75.676)
Epoch: [52][11490/14090]	Time 0.824 (0.761)	Data 0.001 (0.001)	Loss 2.0036 (2.1758)	Prec@1 47.656 (45.067)	Prec@5 77.344 (75.675)
Epoch: [52][11500/14090]	Time 0.740 (0.761)	Data 0.001 (0.001)	Loss 2.0670 (2.1758)	Prec@1 48.438 (45.066)	Prec@5 78.906 (75.674)
Epoch: [52][11510/14090]	Time 0.732 (0.761)	Data 0.001 (0.001)	Loss 2.0906 (2.1758)	Prec@1 45.312 (45.066)	Prec@5 78.906 (75.674)
Epoch: [52][11520/14090]	Time 0.745 (0.761)	Data 0.001 (0.001)	Loss 2.1624 (2.1758)	Prec@1 43.750 (45.065)	Prec@5 77.344 (75.674)
Epoch: [52][11530/14090]	Time 0.724 (0.761)	Data 0.001 (0.001)	Loss 2.0615 (2.1758)	Prec@1 52.344 (45.064)	Prec@5 77.344 (75.673)
Epoch: [52][11540/14090]	Time 0.738 (0.761)	Data 0.001 (0.001)	Loss 2.0892 (2.1758)	Prec@1 47.656 (45.063)	Prec@5 79.688 (75.671)
Epoch: [52][11550/14090]	Time 0.724 (0.761)	Data 0.001 (0.001)	Loss 2.1991 (2.1758)	Prec@1 43.750 (45.064)	Prec@5 75.000 (75.670)
Epoch: [52][11560/14090]	Time 0.795 (0.761)	Data 0.001 (0.001)	Loss 2.2377 (2.1757)	Prec@1 45.312 (45.068)	Prec@5 71.094 (75.670)
Epoch: [52][11570/14090]	Time 0.737 (0.761)	Data 0.001 (0.001)	Loss 2.5459 (2.1758)	Prec@1 35.938 (45.067)	Prec@5 70.312 (75.671)
Epoch: [52][11580/14090]	Time 0.760 (0.761)	Data 0.001 (0.001)	Loss 1.9654 (2.1758)	Prec@1 46.875 (45.066)	Prec@5 79.688 (75.671)
Epoch: [52][11590/14090]	Time 0.727 (0.761)	Data 0.001 (0.001)	Loss 2.0485 (2.1758)	Prec@1 50.781 (45.066)	Prec@5 80.469 (75.672)
Epoch: [52][11600/14090]	Time 0.778 (0.761)	Data 0.001 (0.001)	Loss 2.1541 (2.1759)	Prec@1 41.406 (45.064)	Prec@5 78.125 (75.670)
Epoch: [52][11610/14090]	Time 0.765 (0.761)	Data 0.001 (0.001)	Loss 2.4059 (2.1759)	Prec@1 37.500 (45.064)	Prec@5 68.750 (75.669)
Epoch: [52][11620/14090]	Time 0.755 (0.761)	Data 0.001 (0.001)	Loss 2.3158 (2.1760)	Prec@1 38.281 (45.063)	Prec@5 75.000 (75.668)
Epoch: [52][11630/14090]	Time 0.842 (0.761)	Data 0.002 (0.001)	Loss 2.3235 (2.1760)	Prec@1 46.094 (45.063)	Prec@5 70.312 (75.666)
Epoch: [52][11640/14090]	Time 0.726 (0.761)	Data 0.001 (0.001)	Loss 2.1491 (2.1761)	Prec@1 42.188 (45.061)	Prec@5 75.000 (75.666)
Epoch: [52][11650/14090]	Time 0.775 (0.761)	Data 0.001 (0.001)	Loss 2.2433 (2.1760)	Prec@1 44.531 (45.062)	Prec@5 73.438 (75.667)
Epoch: [52][11660/14090]	Time 0.734 (0.761)	Data 0.001 (0.001)	Loss 2.2143 (2.1761)	Prec@1 42.188 (45.063)	Prec@5 73.438 (75.666)
Epoch: [52][11670/14090]	Time 0.749 (0.761)	Data 0.001 (0.001)	Loss 2.2015 (2.1760)	Prec@1 39.844 (45.062)	Prec@5 74.219 (75.667)
Epoch: [52][11680/14090]	Time 0.734 (0.761)	Data 0.001 (0.001)	Loss 2.5569 (2.1761)	Prec@1 35.156 (45.063)	Prec@5 67.188 (75.665)
Epoch: [52][11690/14090]	Time 0.733 (0.761)	Data 0.001 (0.001)	Loss 2.5145 (2.1762)	Prec@1 38.281 (45.061)	Prec@5 72.656 (75.663)
Epoch: [52][11700/14090]	Time 0.755 (0.761)	Data 0.001 (0.001)	Loss 2.1504 (2.1761)	Prec@1 42.969 (45.062)	Prec@5 78.906 (75.664)
Epoch: [52][11710/14090]	Time 0.777 (0.761)	Data 0.001 (0.001)	Loss 2.3221 (2.1762)	Prec@1 37.500 (45.061)	Prec@5 75.000 (75.663)
Epoch: [52][11720/14090]	Time 0.731 (0.761)	Data 0.001 (0.001)	Loss 2.3062 (2.1763)	Prec@1 40.625 (45.058)	Prec@5 71.875 (75.661)
Epoch: [52][11730/14090]	Time 0.740 (0.761)	Data 0.001 (0.001)	Loss 1.8950 (2.1762)	Prec@1 51.562 (45.060)	Prec@5 82.812 (75.662)
Epoch: [52][11740/14090]	Time 0.729 (0.761)	Data 0.001 (0.001)	Loss 2.1943 (2.1762)	Prec@1 44.531 (45.060)	Prec@5 73.438 (75.661)
Epoch: [52][11750/14090]	Time 0.734 (0.761)	Data 0.001 (0.001)	Loss 1.9249 (2.1762)	Prec@1 46.875 (45.060)	Prec@5 78.125 (75.661)
Epoch: [52][11760/14090]	Time 0.738 (0.761)	Data 0.001 (0.001)	Loss 2.1201 (2.1763)	Prec@1 48.438 (45.058)	Prec@5 75.000 (75.660)
Epoch: [52][11770/14090]	Time 0.791 (0.761)	Data 0.001 (0.001)	Loss 2.5019 (2.1763)	Prec@1 41.406 (45.057)	Prec@5 73.438 (75.662)
Epoch: [52][11780/14090]	Time 0.752 (0.761)	Data 0.003 (0.001)	Loss 2.2400 (2.1763)	Prec@1 42.188 (45.057)	Prec@5 73.438 (75.661)
Epoch: [52][11790/14090]	Time 0.737 (0.761)	Data 0.001 (0.001)	Loss 2.1546 (2.1763)	Prec@1 45.312 (45.059)	Prec@5 77.344 (75.662)
Epoch: [52][11800/14090]	Time 0.766 (0.761)	Data 0.001 (0.001)	Loss 2.2406 (2.1762)	Prec@1 42.969 (45.058)	Prec@5 77.344 (75.663)
Epoch: [52][11810/14090]	Time 0.737 (0.761)	Data 0.001 (0.001)	Loss 2.2900 (2.1762)	Prec@1 40.625 (45.058)	Prec@5 75.000 (75.664)
Epoch: [52][11820/14090]	Time 0.755 (0.761)	Data 0.001 (0.001)	Loss 2.1671 (2.1762)	Prec@1 45.312 (45.057)	Prec@5 72.656 (75.663)
Epoch: [52][11830/14090]	Time 0.757 (0.761)	Data 0.001 (0.001)	Loss 2.2823 (2.1762)	Prec@1 45.312 (45.058)	Prec@5 68.750 (75.663)
Epoch: [52][11840/14090]	Time 0.836 (0.761)	Data 0.001 (0.001)	Loss 2.4275 (2.1762)	Prec@1 40.625 (45.057)	Prec@5 70.312 (75.663)
Epoch: [52][11850/14090]	Time 0.729 (0.761)	Data 0.001 (0.001)	Loss 2.1208 (2.1761)	Prec@1 47.656 (45.057)	Prec@5 75.000 (75.665)
Epoch: [52][11860/14090]	Time 0.752 (0.761)	Data 0.001 (0.001)	Loss 2.1641 (2.1761)	Prec@1 45.312 (45.058)	Prec@5 74.219 (75.666)
Epoch: [52][11870/14090]	Time 0.727 (0.761)	Data 0.001 (0.001)	Loss 2.3228 (2.1761)	Prec@1 44.531 (45.057)	Prec@5 71.875 (75.666)
Epoch: [52][11880/14090]	Time 0.757 (0.761)	Data 0.001 (0.001)	Loss 2.4249 (2.1761)	Prec@1 37.500 (45.055)	Prec@5 73.438 (75.665)
Epoch: [52][11890/14090]	Time 0.768 (0.761)	Data 0.001 (0.001)	Loss 2.2505 (2.1762)	Prec@1 42.969 (45.054)	Prec@5 73.438 (75.663)
Epoch: [52][11900/14090]	Time 0.730 (0.761)	Data 0.001 (0.001)	Loss 2.1581 (2.1762)	Prec@1 42.188 (45.055)	Prec@5 71.875 (75.662)
Epoch: [52][11910/14090]	Time 0.854 (0.761)	Data 0.001 (0.001)	Loss 2.3645 (2.1762)	Prec@1 47.656 (45.054)	Prec@5 72.656 (75.660)
Epoch: [52][11920/14090]	Time 0.772 (0.761)	Data 0.001 (0.001)	Loss 1.8933 (2.1762)	Prec@1 49.219 (45.054)	Prec@5 75.781 (75.660)
Epoch: [52][11930/14090]	Time 0.761 (0.761)	Data 0.001 (0.001)	Loss 2.0751 (2.1763)	Prec@1 51.562 (45.054)	Prec@5 79.688 (75.657)
Epoch: [52][11940/14090]	Time 0.759 (0.761)	Data 0.001 (0.001)	Loss 2.0137 (2.1763)	Prec@1 45.312 (45.053)	Prec@5 79.688 (75.657)
Epoch: [52][11950/14090]	Time 0.750 (0.761)	Data 0.001 (0.001)	Loss 2.1029 (2.1764)	Prec@1 45.312 (45.052)	Prec@5 75.781 (75.655)
Epoch: [52][11960/14090]	Time 0.786 (0.761)	Data 0.001 (0.001)	Loss 2.2877 (2.1763)	Prec@1 41.406 (45.052)	Prec@5 75.000 (75.656)
Epoch: [52][11970/14090]	Time 0.739 (0.761)	Data 0.001 (0.001)	Loss 2.3982 (2.1764)	Prec@1 37.500 (45.052)	Prec@5 75.000 (75.656)
Epoch: [52][11980/14090]	Time 0.780 (0.761)	Data 0.001 (0.001)	Loss 1.8849 (2.1763)	Prec@1 47.656 (45.053)	Prec@5 82.031 (75.656)
Epoch: [52][11990/14090]	Time 0.727 (0.761)	Data 0.001 (0.001)	Loss 2.3338 (2.1764)	Prec@1 37.500 (45.051)	Prec@5 71.875 (75.655)
Epoch: [52][12000/14090]	Time 0.772 (0.761)	Data 0.001 (0.001)	Loss 2.2120 (2.1764)	Prec@1 46.094 (45.050)	Prec@5 71.094 (75.654)
Epoch: [52][12010/14090]	Time 0.747 (0.761)	Data 0.001 (0.001)	Loss 2.1488 (2.1764)	Prec@1 46.094 (45.052)	Prec@5 74.219 (75.655)
Epoch: [52][12020/14090]	Time 0.757 (0.761)	Data 0.001 (0.001)	Loss 2.1410 (2.1763)	Prec@1 45.312 (45.052)	Prec@5 72.656 (75.655)
Epoch: [52][12030/14090]	Time 0.756 (0.761)	Data 0.001 (0.001)	Loss 2.2299 (2.1764)	Prec@1 50.781 (45.052)	Prec@5 75.000 (75.654)
Epoch: [52][12040/14090]	Time 0.743 (0.761)	Data 0.001 (0.001)	Loss 2.2957 (2.1764)	Prec@1 45.312 (45.051)	Prec@5 71.094 (75.653)
Epoch: [52][12050/14090]	Time 0.771 (0.761)	Data 0.001 (0.001)	Loss 2.2634 (2.1765)	Prec@1 40.625 (45.049)	Prec@5 73.438 (75.650)
Epoch: [52][12060/14090]	Time 0.748 (0.761)	Data 0.001 (0.001)	Loss 2.0349 (2.1765)	Prec@1 43.750 (45.048)	Prec@5 78.906 (75.650)
Epoch: [52][12070/14090]	Time 0.733 (0.761)	Data 0.001 (0.001)	Loss 2.1702 (2.1765)	Prec@1 47.656 (45.047)	Prec@5 72.656 (75.650)
Epoch: [52][12080/14090]	Time 0.748 (0.761)	Data 0.001 (0.001)	Loss 2.4421 (2.1766)	Prec@1 39.844 (45.047)	Prec@5 71.094 (75.649)
Epoch: [52][12090/14090]	Time 0.761 (0.761)	Data 0.001 (0.001)	Loss 2.0402 (2.1766)	Prec@1 44.531 (45.046)	Prec@5 75.781 (75.648)
Epoch: [52][12100/14090]	Time 0.764 (0.761)	Data 0.001 (0.001)	Loss 2.0450 (2.1766)	Prec@1 46.875 (45.045)	Prec@5 78.906 (75.647)
Epoch: [52][12110/14090]	Time 0.752 (0.761)	Data 0.001 (0.001)	Loss 2.0378 (2.1767)	Prec@1 50.000 (45.044)	Prec@5 74.219 (75.646)
Epoch: [52][12120/14090]	Time 0.787 (0.761)	Data 0.001 (0.001)	Loss 2.3825 (2.1766)	Prec@1 39.844 (45.043)	Prec@5 70.312 (75.646)
Epoch: [52][12130/14090]	Time 0.761 (0.761)	Data 0.001 (0.001)	Loss 2.4938 (2.1766)	Prec@1 33.594 (45.041)	Prec@5 70.312 (75.646)
Epoch: [52][12140/14090]	Time 0.769 (0.761)	Data 0.001 (0.001)	Loss 2.1181 (2.1766)	Prec@1 46.094 (45.041)	Prec@5 71.875 (75.645)
Epoch: [52][12150/14090]	Time 0.765 (0.761)	Data 0.001 (0.001)	Loss 2.3488 (2.1767)	Prec@1 42.188 (45.040)	Prec@5 71.875 (75.643)
Epoch: [52][12160/14090]	Time 0.730 (0.761)	Data 0.001 (0.001)	Loss 2.1045 (2.1766)	Prec@1 42.188 (45.041)	Prec@5 77.344 (75.644)
Epoch: [52][12170/14090]	Time 0.759 (0.761)	Data 0.001 (0.001)	Loss 2.0514 (2.1766)	Prec@1 47.656 (45.041)	Prec@5 77.344 (75.645)
Epoch: [52][12180/14090]	Time 0.748 (0.761)	Data 0.001 (0.001)	Loss 2.4068 (2.1766)	Prec@1 34.375 (45.041)	Prec@5 75.781 (75.645)
Epoch: [52][12190/14090]	Time 0.802 (0.761)	Data 0.001 (0.001)	Loss 2.3799 (2.1766)	Prec@1 39.062 (45.041)	Prec@5 74.219 (75.646)
Epoch: [52][12200/14090]	Time 0.743 (0.761)	Data 0.001 (0.001)	Loss 1.9398 (2.1767)	Prec@1 48.438 (45.039)	Prec@5 78.906 (75.645)
Epoch: [52][12210/14090]	Time 0.725 (0.761)	Data 0.001 (0.001)	Loss 2.3830 (2.1767)	Prec@1 39.844 (45.039)	Prec@5 65.625 (75.644)
Epoch: [52][12220/14090]	Time 0.742 (0.761)	Data 0.001 (0.001)	Loss 2.3141 (2.1768)	Prec@1 46.875 (45.039)	Prec@5 72.656 (75.643)
Epoch: [52][12230/14090]	Time 0.729 (0.761)	Data 0.001 (0.001)	Loss 2.3538 (2.1767)	Prec@1 46.094 (45.039)	Prec@5 75.000 (75.643)
Epoch: [52][12240/14090]	Time 0.754 (0.761)	Data 0.001 (0.001)	Loss 2.2353 (2.1768)	Prec@1 39.062 (45.039)	Prec@5 76.562 (75.644)
Epoch: [52][12250/14090]	Time 0.764 (0.761)	Data 0.001 (0.001)	Loss 2.2670 (2.1768)	Prec@1 41.406 (45.039)	Prec@5 72.656 (75.645)
Epoch: [52][12260/14090]	Time 0.806 (0.761)	Data 0.001 (0.001)	Loss 2.1550 (2.1767)	Prec@1 46.875 (45.040)	Prec@5 75.000 (75.646)
Epoch: [52][12270/14090]	Time 0.757 (0.761)	Data 0.001 (0.001)	Loss 2.1347 (2.1766)	Prec@1 44.531 (45.041)	Prec@5 75.000 (75.646)
Epoch: [52][12280/14090]	Time 0.742 (0.761)	Data 0.001 (0.001)	Loss 2.3139 (2.1767)	Prec@1 39.062 (45.040)	Prec@5 75.781 (75.644)
Epoch: [52][12290/14090]	Time 0.781 (0.761)	Data 0.001 (0.001)	Loss 2.3240 (2.1767)	Prec@1 38.281 (45.039)	Prec@5 76.562 (75.646)
Epoch: [52][12300/14090]	Time 0.757 (0.761)	Data 0.001 (0.001)	Loss 2.0853 (2.1767)	Prec@1 41.406 (45.039)	Prec@5 77.344 (75.645)
Epoch: [52][12310/14090]	Time 0.761 (0.761)	Data 0.001 (0.001)	Loss 2.4590 (2.1766)	Prec@1 35.938 (45.039)	Prec@5 71.875 (75.646)
Epoch: [52][12320/14090]	Time 0.778 (0.761)	Data 0.001 (0.001)	Loss 1.7676 (2.1766)	Prec@1 49.219 (45.039)	Prec@5 85.938 (75.647)
Epoch: [52][12330/14090]	Time 0.822 (0.761)	Data 0.001 (0.001)	Loss 2.1088 (2.1765)	Prec@1 44.531 (45.041)	Prec@5 82.031 (75.649)
Epoch: [52][12340/14090]	Time 0.766 (0.761)	Data 0.001 (0.001)	Loss 2.0060 (2.1765)	Prec@1 45.312 (45.042)	Prec@5 79.688 (75.648)
Epoch: [52][12350/14090]	Time 0.732 (0.761)	Data 0.001 (0.001)	Loss 2.2328 (2.1765)	Prec@1 46.875 (45.043)	Prec@5 71.094 (75.648)
Epoch: [52][12360/14090]	Time 0.736 (0.761)	Data 0.001 (0.001)	Loss 2.1856 (2.1765)	Prec@1 45.312 (45.042)	Prec@5 78.906 (75.649)
Epoch: [52][12370/14090]	Time 0.751 (0.761)	Data 0.001 (0.001)	Loss 2.1648 (2.1766)	Prec@1 46.875 (45.043)	Prec@5 74.219 (75.647)
Epoch: [52][12380/14090]	Time 0.751 (0.761)	Data 0.001 (0.001)	Loss 2.0173 (2.1766)	Prec@1 53.906 (45.042)	Prec@5 77.344 (75.645)
Epoch: [52][12390/14090]	Time 0.754 (0.761)	Data 0.001 (0.001)	Loss 2.1599 (2.1766)	Prec@1 46.875 (45.043)	Prec@5 73.438 (75.646)
Epoch: [52][12400/14090]	Time 0.785 (0.761)	Data 0.001 (0.001)	Loss 2.3298 (2.1766)	Prec@1 42.188 (45.044)	Prec@5 71.094 (75.645)
Epoch: [52][12410/14090]	Time 0.749 (0.761)	Data 0.001 (0.001)	Loss 2.1075 (2.1766)	Prec@1 43.750 (45.043)	Prec@5 76.562 (75.644)
Epoch: [52][12420/14090]	Time 0.799 (0.761)	Data 0.001 (0.001)	Loss 2.3889 (2.1767)	Prec@1 35.938 (45.043)	Prec@5 69.531 (75.644)
Epoch: [52][12430/14090]	Time 0.772 (0.761)	Data 0.001 (0.001)	Loss 2.1667 (2.1766)	Prec@1 46.875 (45.044)	Prec@5 74.219 (75.645)
Epoch: [52][12440/14090]	Time 0.748 (0.761)	Data 0.001 (0.001)	Loss 2.1735 (2.1766)	Prec@1 45.312 (45.046)	Prec@5 74.219 (75.645)
Epoch: [52][12450/14090]	Time 0.725 (0.761)	Data 0.001 (0.001)	Loss 2.0445 (2.1765)	Prec@1 47.656 (45.047)	Prec@5 76.562 (75.645)
Epoch: [52][12460/14090]	Time 0.783 (0.761)	Data 0.001 (0.001)	Loss 2.1412 (2.1765)	Prec@1 46.875 (45.049)	Prec@5 75.000 (75.646)
Epoch: [52][12470/14090]	Time 0.987 (0.761)	Data 0.001 (0.001)	Loss 2.3175 (2.1765)	Prec@1 41.406 (45.050)	Prec@5 75.781 (75.646)
Epoch: [52][12480/14090]	Time 0.750 (0.761)	Data 0.001 (0.001)	Loss 2.1195 (2.1764)	Prec@1 46.875 (45.051)	Prec@5 78.125 (75.647)
Epoch: [52][12490/14090]	Time 0.747 (0.761)	Data 0.001 (0.001)	Loss 2.3184 (2.1765)	Prec@1 39.844 (45.050)	Prec@5 75.781 (75.648)
Epoch: [52][12500/14090]	Time 0.753 (0.761)	Data 0.001 (0.001)	Loss 2.0667 (2.1765)	Prec@1 46.875 (45.051)	Prec@5 75.000 (75.646)
Epoch: [52][12510/14090]	Time 0.733 (0.761)	Data 0.001 (0.001)	Loss 2.3683 (2.1765)	Prec@1 42.188 (45.052)	Prec@5 70.312 (75.647)
Epoch: [52][12520/14090]	Time 0.723 (0.761)	Data 0.001 (0.001)	Loss 2.1251 (2.1765)	Prec@1 47.656 (45.053)	Prec@5 76.562 (75.646)
Epoch: [52][12530/14090]	Time 0.733 (0.761)	Data 0.001 (0.001)	Loss 2.3645 (2.1766)	Prec@1 41.406 (45.052)	Prec@5 73.438 (75.646)
Epoch: [52][12540/14090]	Time 0.809 (0.761)	Data 0.001 (0.001)	Loss 2.2029 (2.1766)	Prec@1 41.406 (45.050)	Prec@5 78.906 (75.645)
Epoch: [52][12550/14090]	Time 0.764 (0.761)	Data 0.001 (0.001)	Loss 2.3821 (2.1766)	Prec@1 42.969 (45.051)	Prec@5 71.094 (75.645)
Epoch: [52][12560/14090]	Time 0.777 (0.761)	Data 0.001 (0.001)	Loss 2.1291 (2.1766)	Prec@1 51.562 (45.051)	Prec@5 72.656 (75.645)
Epoch: [52][12570/14090]	Time 0.734 (0.761)	Data 0.001 (0.001)	Loss 2.2635 (2.1767)	Prec@1 43.750 (45.051)	Prec@5 79.688 (75.644)
Epoch: [52][12580/14090]	Time 0.766 (0.761)	Data 0.001 (0.001)	Loss 1.9786 (2.1767)	Prec@1 50.781 (45.050)	Prec@5 81.250 (75.644)
Epoch: [52][12590/14090]	Time 0.722 (0.761)	Data 0.001 (0.001)	Loss 2.1632 (2.1768)	Prec@1 42.188 (45.049)	Prec@5 78.125 (75.645)
Epoch: [52][12600/14090]	Time 0.730 (0.761)	Data 0.001 (0.001)	Loss 1.8935 (2.1767)	Prec@1 55.469 (45.050)	Prec@5 76.562 (75.646)
Epoch: [52][12610/14090]	Time 0.786 (0.761)	Data 0.001 (0.001)	Loss 2.2655 (2.1768)	Prec@1 47.656 (45.050)	Prec@5 79.688 (75.644)
Epoch: [52][12620/14090]	Time 0.755 (0.761)	Data 0.001 (0.001)	Loss 2.2375 (2.1769)	Prec@1 41.406 (45.048)	Prec@5 78.125 (75.643)
Epoch: [52][12630/14090]	Time 0.742 (0.761)	Data 0.001 (0.001)	Loss 2.4098 (2.1769)	Prec@1 41.406 (45.047)	Prec@5 75.000 (75.641)
Epoch: [52][12640/14090]	Time 0.747 (0.761)	Data 0.001 (0.001)	Loss 1.9637 (2.1770)	Prec@1 48.438 (45.046)	Prec@5 84.375 (75.642)
Epoch: [52][12650/14090]	Time 0.734 (0.761)	Data 0.001 (0.001)	Loss 2.3672 (2.1770)	Prec@1 34.375 (45.045)	Prec@5 73.438 (75.641)
Epoch: [52][12660/14090]	Time 0.730 (0.761)	Data 0.001 (0.001)	Loss 2.2488 (2.1770)	Prec@1 42.188 (45.045)	Prec@5 76.562 (75.641)
Epoch: [52][12670/14090]	Time 0.736 (0.761)	Data 0.001 (0.001)	Loss 2.2820 (2.1770)	Prec@1 43.750 (45.044)	Prec@5 74.219 (75.641)
Epoch: [52][12680/14090]	Time 0.795 (0.761)	Data 0.001 (0.001)	Loss 1.9630 (2.1770)	Prec@1 46.875 (45.044)	Prec@5 80.469 (75.641)
Epoch: [52][12690/14090]	Time 0.750 (0.761)	Data 0.001 (0.001)	Loss 2.0725 (2.1770)	Prec@1 48.438 (45.045)	Prec@5 79.688 (75.641)
Epoch: [52][12700/14090]	Time 0.729 (0.761)	Data 0.001 (0.001)	Loss 2.1009 (2.1770)	Prec@1 49.219 (45.044)	Prec@5 78.125 (75.641)
Epoch: [52][12710/14090]	Time 0.776 (0.761)	Data 0.001 (0.001)	Loss 2.5979 (2.1771)	Prec@1 39.062 (45.042)	Prec@5 66.406 (75.641)
Epoch: [52][12720/14090]	Time 0.730 (0.761)	Data 0.001 (0.001)	Loss 1.9357 (2.1771)	Prec@1 48.438 (45.042)	Prec@5 78.125 (75.640)
Epoch: [52][12730/14090]	Time 0.735 (0.761)	Data 0.001 (0.001)	Loss 2.2735 (2.1771)	Prec@1 42.969 (45.042)	Prec@5 71.094 (75.639)
Epoch: [52][12740/14090]	Time 0.759 (0.761)	Data 0.001 (0.001)	Loss 2.2087 (2.1772)	Prec@1 47.656 (45.041)	Prec@5 77.344 (75.638)
Epoch: [52][12750/14090]	Time 0.807 (0.761)	Data 0.001 (0.001)	Loss 2.2090 (2.1772)	Prec@1 46.875 (45.040)	Prec@5 75.000 (75.638)
Epoch: [52][12760/14090]	Time 0.725 (0.761)	Data 0.001 (0.001)	Loss 1.8129 (2.1772)	Prec@1 54.688 (45.040)	Prec@5 85.156 (75.637)
Epoch: [52][12770/14090]	Time 0.739 (0.761)	Data 0.001 (0.001)	Loss 2.1816 (2.1773)	Prec@1 47.656 (45.038)	Prec@5 79.688 (75.637)
Epoch: [52][12780/14090]	Time 0.738 (0.761)	Data 0.001 (0.001)	Loss 2.2438 (2.1773)	Prec@1 46.875 (45.038)	Prec@5 71.094 (75.636)
Epoch: [52][12790/14090]	Time 0.729 (0.761)	Data 0.001 (0.001)	Loss 2.2022 (2.1772)	Prec@1 42.188 (45.038)	Prec@5 78.906 (75.638)
Epoch: [52][12800/14090]	Time 0.756 (0.761)	Data 0.001 (0.001)	Loss 2.3808 (2.1772)	Prec@1 41.406 (45.039)	Prec@5 67.969 (75.637)
Epoch: [52][12810/14090]	Time 0.778 (0.761)	Data 0.001 (0.001)	Loss 2.4042 (2.1773)	Prec@1 42.969 (45.037)	Prec@5 71.094 (75.635)
Epoch: [52][12820/14090]	Time 0.809 (0.761)	Data 0.001 (0.001)	Loss 2.2975 (2.1773)	Prec@1 42.969 (45.037)	Prec@5 72.656 (75.635)
Epoch: [52][12830/14090]	Time 0.753 (0.761)	Data 0.001 (0.001)	Loss 2.3695 (2.1773)	Prec@1 36.719 (45.038)	Prec@5 70.312 (75.635)
Epoch: [52][12840/14090]	Time 0.765 (0.761)	Data 0.001 (0.001)	Loss 2.1152 (2.1773)	Prec@1 46.094 (45.036)	Prec@5 79.688 (75.635)
Epoch: [52][12850/14090]	Time 0.776 (0.761)	Data 0.001 (0.001)	Loss 2.2045 (2.1772)	Prec@1 42.969 (45.038)	Prec@5 75.000 (75.637)
Epoch: [52][12860/14090]	Time 0.751 (0.761)	Data 0.001 (0.001)	Loss 2.1590 (2.1771)	Prec@1 46.094 (45.038)	Prec@5 82.031 (75.638)
Epoch: [52][12870/14090]	Time 0.743 (0.761)	Data 0.001 (0.001)	Loss 2.5123 (2.1772)	Prec@1 42.969 (45.037)	Prec@5 65.625 (75.637)
Epoch: [52][12880/14090]	Time 0.756 (0.761)	Data 0.001 (0.001)	Loss 2.2662 (2.1771)	Prec@1 41.406 (45.038)	Prec@5 71.875 (75.637)
Epoch: [52][12890/14090]	Time 0.767 (0.761)	Data 0.001 (0.001)	Loss 2.2442 (2.1771)	Prec@1 42.969 (45.038)	Prec@5 75.781 (75.637)
Epoch: [52][12900/14090]	Time 0.764 (0.761)	Data 0.001 (0.001)	Loss 2.1861 (2.1771)	Prec@1 44.531 (45.038)	Prec@5 72.656 (75.638)
Epoch: [52][12910/14090]	Time 0.769 (0.761)	Data 0.001 (0.001)	Loss 2.1395 (2.1771)	Prec@1 44.531 (45.039)	Prec@5 77.344 (75.638)
Epoch: [52][12920/14090]	Time 0.755 (0.761)	Data 0.001 (0.001)	Loss 2.2571 (2.1771)	Prec@1 42.188 (45.040)	Prec@5 72.656 (75.638)
Epoch: [52][12930/14090]	Time 0.750 (0.761)	Data 0.001 (0.001)	Loss 2.2583 (2.1771)	Prec@1 43.750 (45.040)	Prec@5 76.562 (75.638)
Epoch: [52][12940/14090]	Time 0.780 (0.761)	Data 0.001 (0.001)	Loss 2.1119 (2.1771)	Prec@1 43.750 (45.040)	Prec@5 73.438 (75.639)
Epoch: [52][12950/14090]	Time 0.738 (0.761)	Data 0.001 (0.001)	Loss 2.4972 (2.1771)	Prec@1 37.500 (45.039)	Prec@5 66.406 (75.639)
Epoch: [52][12960/14090]	Time 0.789 (0.761)	Data 0.001 (0.001)	Loss 2.2678 (2.1771)	Prec@1 41.406 (45.038)	Prec@5 75.781 (75.638)
Epoch: [52][12970/14090]	Time 0.759 (0.761)	Data 0.001 (0.001)	Loss 2.3830 (2.1771)	Prec@1 47.656 (45.038)	Prec@5 71.094 (75.637)
Epoch: [52][12980/14090]	Time 0.755 (0.761)	Data 0.001 (0.001)	Loss 1.9462 (2.1772)	Prec@1 54.688 (45.036)	Prec@5 80.469 (75.636)
Epoch: [52][12990/14090]	Time 0.731 (0.761)	Data 0.001 (0.001)	Loss 2.0949 (2.1772)	Prec@1 42.188 (45.036)	Prec@5 81.250 (75.636)
Epoch: [52][13000/14090]	Time 0.767 (0.761)	Data 0.001 (0.001)	Loss 2.1559 (2.1772)	Prec@1 46.094 (45.036)	Prec@5 75.000 (75.635)
Epoch: [52][13010/14090]	Time 0.736 (0.761)	Data 0.001 (0.001)	Loss 2.0232 (2.1772)	Prec@1 48.438 (45.036)	Prec@5 79.688 (75.634)
Epoch: [52][13020/14090]	Time 0.728 (0.761)	Data 0.001 (0.001)	Loss 2.0163 (2.1772)	Prec@1 46.875 (45.035)	Prec@5 80.469 (75.635)
Epoch: [52][13030/14090]	Time 0.819 (0.761)	Data 0.001 (0.001)	Loss 2.1466 (2.1773)	Prec@1 47.656 (45.034)	Prec@5 73.438 (75.634)
Epoch: [52][13040/14090]	Time 0.743 (0.761)	Data 0.001 (0.001)	Loss 2.2879 (2.1773)	Prec@1 41.406 (45.032)	Prec@5 75.781 (75.633)
Epoch: [52][13050/14090]	Time 0.733 (0.761)	Data 0.001 (0.001)	Loss 2.0414 (2.1774)	Prec@1 48.438 (45.032)	Prec@5 78.125 (75.632)
Epoch: [52][13060/14090]	Time 0.775 (0.761)	Data 0.001 (0.001)	Loss 2.2120 (2.1774)	Prec@1 41.406 (45.034)	Prec@5 71.094 (75.632)
Epoch: [52][13070/14090]	Time 0.783 (0.761)	Data 0.001 (0.001)	Loss 1.8870 (2.1774)	Prec@1 51.562 (45.032)	Prec@5 78.906 (75.632)
Epoch: [52][13080/14090]	Time 0.755 (0.761)	Data 0.001 (0.001)	Loss 2.2576 (2.1774)	Prec@1 40.625 (45.033)	Prec@5 71.094 (75.631)
Epoch: [52][13090/14090]	Time 0.743 (0.761)	Data 0.001 (0.001)	Loss 2.4279 (2.1775)	Prec@1 43.750 (45.032)	Prec@5 74.219 (75.631)
Epoch: [52][13100/14090]	Time 0.805 (0.761)	Data 0.001 (0.001)	Loss 2.3657 (2.1775)	Prec@1 39.062 (45.031)	Prec@5 74.219 (75.631)
Epoch: [52][13110/14090]	Time 0.738 (0.761)	Data 0.001 (0.001)	Loss 2.2164 (2.1775)	Prec@1 46.875 (45.032)	Prec@5 75.000 (75.630)
Epoch: [52][13120/14090]	Time 0.778 (0.761)	Data 0.001 (0.001)	Loss 2.1865 (2.1775)	Prec@1 42.969 (45.033)	Prec@5 75.781 (75.631)
Epoch: [52][13130/14090]	Time 0.756 (0.761)	Data 0.001 (0.001)	Loss 2.1382 (2.1775)	Prec@1 40.625 (45.031)	Prec@5 76.562 (75.631)
Epoch: [52][13140/14090]	Time 0.758 (0.761)	Data 0.001 (0.001)	Loss 2.3323 (2.1775)	Prec@1 42.969 (45.030)	Prec@5 72.656 (75.631)
Epoch: [52][13150/14090]	Time 0.752 (0.761)	Data 0.001 (0.001)	Loss 1.8847 (2.1776)	Prec@1 50.781 (45.029)	Prec@5 79.688 (75.630)
Epoch: [52][13160/14090]	Time 0.778 (0.761)	Data 0.001 (0.001)	Loss 2.1562 (2.1775)	Prec@1 40.625 (45.029)	Prec@5 76.562 (75.631)
Epoch: [52][13170/14090]	Time 0.787 (0.761)	Data 0.001 (0.001)	Loss 2.2426 (2.1776)	Prec@1 44.531 (45.029)	Prec@5 75.781 (75.631)
Epoch: [52][13180/14090]	Time 0.780 (0.761)	Data 0.001 (0.001)	Loss 2.3877 (2.1776)	Prec@1 39.844 (45.028)	Prec@5 71.875 (75.631)
Epoch: [52][13190/14090]	Time 0.748 (0.761)	Data 0.001 (0.001)	Loss 2.1965 (2.1775)	Prec@1 45.312 (45.030)	Prec@5 77.344 (75.632)
Epoch: [52][13200/14090]	Time 0.733 (0.761)	Data 0.001 (0.001)	Loss 2.1823 (2.1776)	Prec@1 42.188 (45.028)	Prec@5 72.656 (75.631)
Epoch: [52][13210/14090]	Time 0.737 (0.761)	Data 0.001 (0.001)	Loss 2.3405 (2.1776)	Prec@1 42.188 (45.028)	Prec@5 74.219 (75.631)
Epoch: [52][13220/14090]	Time 0.755 (0.761)	Data 0.001 (0.001)	Loss 2.3051 (2.1777)	Prec@1 44.531 (45.027)	Prec@5 75.781 (75.629)
Epoch: [52][13230/14090]	Time 0.776 (0.761)	Data 0.001 (0.001)	Loss 2.0824 (2.1777)	Prec@1 46.875 (45.025)	Prec@5 73.438 (75.628)
Epoch: [52][13240/14090]	Time 0.940 (0.761)	Data 0.001 (0.001)	Loss 2.4583 (2.1778)	Prec@1 38.281 (45.024)	Prec@5 72.656 (75.626)
Epoch: [52][13250/14090]	Time 0.730 (0.761)	Data 0.001 (0.001)	Loss 1.9913 (2.1778)	Prec@1 49.219 (45.024)	Prec@5 81.250 (75.627)
Epoch: [52][13260/14090]	Time 0.759 (0.761)	Data 0.001 (0.001)	Loss 2.2633 (2.1778)	Prec@1 40.625 (45.023)	Prec@5 75.000 (75.627)
Epoch: [52][13270/14090]	Time 0.758 (0.761)	Data 0.001 (0.001)	Loss 2.1316 (2.1778)	Prec@1 39.062 (45.023)	Prec@5 81.250 (75.626)
Epoch: [52][13280/14090]	Time 0.731 (0.761)	Data 0.001 (0.001)	Loss 2.1426 (2.1778)	Prec@1 48.438 (45.024)	Prec@5 75.000 (75.627)
Epoch: [52][13290/14090]	Time 0.761 (0.761)	Data 0.001 (0.001)	Loss 2.2614 (2.1778)	Prec@1 46.875 (45.026)	Prec@5 72.656 (75.627)
Epoch: [52][13300/14090]	Time 0.746 (0.761)	Data 0.001 (0.001)	Loss 2.0496 (2.1778)	Prec@1 46.875 (45.026)	Prec@5 78.125 (75.627)
Epoch: [52][13310/14090]	Time 0.790 (0.761)	Data 0.001 (0.001)	Loss 2.0509 (2.1777)	Prec@1 50.000 (45.028)	Prec@5 77.344 (75.627)
Epoch: [52][13320/14090]	Time 0.765 (0.761)	Data 0.001 (0.001)	Loss 2.1335 (2.1778)	Prec@1 44.531 (45.026)	Prec@5 80.469 (75.627)
Epoch: [52][13330/14090]	Time 0.790 (0.761)	Data 0.001 (0.001)	Loss 2.3454 (2.1778)	Prec@1 36.719 (45.024)	Prec@5 72.656 (75.626)
Epoch: [52][13340/14090]	Time 0.762 (0.761)	Data 0.001 (0.001)	Loss 1.9908 (2.1778)	Prec@1 42.969 (45.024)	Prec@5 78.125 (75.624)
Epoch: [52][13350/14090]	Time 0.770 (0.761)	Data 0.001 (0.001)	Loss 2.3382 (2.1779)	Prec@1 40.625 (45.023)	Prec@5 76.562 (75.625)
Epoch: [52][13360/14090]	Time 0.727 (0.761)	Data 0.001 (0.001)	Loss 2.5911 (2.1779)	Prec@1 31.250 (45.022)	Prec@5 70.312 (75.624)
Epoch: [52][13370/14090]	Time 0.758 (0.761)	Data 0.001 (0.001)	Loss 2.2625 (2.1779)	Prec@1 44.531 (45.024)	Prec@5 76.562 (75.624)
Epoch: [52][13380/14090]	Time 0.931 (0.761)	Data 0.001 (0.001)	Loss 1.9985 (2.1780)	Prec@1 48.438 (45.021)	Prec@5 75.781 (75.624)
Epoch: [52][13390/14090]	Time 0.752 (0.761)	Data 0.001 (0.001)	Loss 2.3355 (2.1780)	Prec@1 43.750 (45.020)	Prec@5 75.000 (75.624)
Epoch: [52][13400/14090]	Time 0.733 (0.761)	Data 0.002 (0.001)	Loss 2.3347 (2.1780)	Prec@1 43.750 (45.021)	Prec@5 72.656 (75.625)
Epoch: [52][13410/14090]	Time 0.779 (0.761)	Data 0.001 (0.001)	Loss 2.2944 (2.1781)	Prec@1 43.750 (45.019)	Prec@5 71.094 (75.624)
Epoch: [52][13420/14090]	Time 0.756 (0.761)	Data 0.001 (0.001)	Loss 2.1532 (2.1781)	Prec@1 43.750 (45.020)	Prec@5 77.344 (75.625)
Epoch: [52][13430/14090]	Time 0.729 (0.761)	Data 0.001 (0.001)	Loss 2.2615 (2.1781)	Prec@1 41.406 (45.019)	Prec@5 72.656 (75.624)
Epoch: [52][13440/14090]	Time 0.742 (0.761)	Data 0.002 (0.001)	Loss 2.1032 (2.1781)	Prec@1 42.969 (45.018)	Prec@5 79.688 (75.623)
Epoch: [52][13450/14090]	Time 0.807 (0.761)	Data 0.001 (0.001)	Loss 2.0487 (2.1782)	Prec@1 53.125 (45.019)	Prec@5 76.562 (75.622)
Epoch: [52][13460/14090]	Time 0.743 (0.761)	Data 0.001 (0.001)	Loss 2.2927 (2.1781)	Prec@1 48.438 (45.021)	Prec@5 71.875 (75.623)
Epoch: [52][13470/14090]	Time 0.748 (0.761)	Data 0.001 (0.001)	Loss 2.1956 (2.1781)	Prec@1 44.531 (45.021)	Prec@5 78.906 (75.623)
Epoch: [52][13480/14090]	Time 0.776 (0.761)	Data 0.001 (0.001)	Loss 2.2367 (2.1781)	Prec@1 43.750 (45.022)	Prec@5 72.656 (75.623)
Epoch: [52][13490/14090]	Time 0.747 (0.761)	Data 0.001 (0.001)	Loss 2.1343 (2.1780)	Prec@1 46.875 (45.023)	Prec@5 78.906 (75.623)
Epoch: [52][13500/14090]	Time 0.747 (0.761)	Data 0.001 (0.001)	Loss 2.0112 (2.1781)	Prec@1 46.875 (45.022)	Prec@5 77.344 (75.622)
Epoch: [52][13510/14090]	Time 0.776 (0.761)	Data 0.001 (0.001)	Loss 2.1899 (2.1781)	Prec@1 42.969 (45.022)	Prec@5 77.344 (75.621)
Epoch: [52][13520/14090]	Time 0.817 (0.761)	Data 0.001 (0.001)	Loss 2.3274 (2.1781)	Prec@1 39.062 (45.021)	Prec@5 72.656 (75.622)
Epoch: [52][13530/14090]	Time 0.772 (0.761)	Data 0.001 (0.001)	Loss 2.1432 (2.1781)	Prec@1 50.000 (45.022)	Prec@5 75.000 (75.621)
Epoch: [52][13540/14090]	Time 0.748 (0.761)	Data 0.001 (0.001)	Loss 2.0658 (2.1781)	Prec@1 52.344 (45.023)	Prec@5 76.562 (75.621)
Epoch: [52][13550/14090]	Time 0.720 (0.761)	Data 0.001 (0.001)	Loss 2.0929 (2.1781)	Prec@1 46.094 (45.024)	Prec@5 76.562 (75.623)
Epoch: [52][13560/14090]	Time 0.768 (0.761)	Data 0.001 (0.001)	Loss 2.2207 (2.1781)	Prec@1 50.781 (45.023)	Prec@5 73.438 (75.621)
Epoch: [52][13570/14090]	Time 0.760 (0.761)	Data 0.001 (0.001)	Loss 2.0239 (2.1781)	Prec@1 49.219 (45.025)	Prec@5 82.812 (75.624)
Epoch: [52][13580/14090]	Time 0.727 (0.761)	Data 0.001 (0.001)	Loss 2.0478 (2.1781)	Prec@1 49.219 (45.026)	Prec@5 78.906 (75.624)
Epoch: [52][13590/14090]	Time 0.781 (0.761)	Data 0.001 (0.001)	Loss 2.1116 (2.1781)	Prec@1 46.094 (45.025)	Prec@5 78.906 (75.624)
Epoch: [52][13600/14090]	Time 0.727 (0.761)	Data 0.001 (0.001)	Loss 2.2768 (2.1781)	Prec@1 39.062 (45.025)	Prec@5 76.562 (75.625)
Epoch: [52][13610/14090]	Time 0.755 (0.761)	Data 0.001 (0.001)	Loss 2.1570 (2.1781)	Prec@1 45.312 (45.024)	Prec@5 72.656 (75.625)
Epoch: [52][13620/14090]	Time 0.749 (0.761)	Data 0.001 (0.001)	Loss 2.3542 (2.1782)	Prec@1 42.188 (45.023)	Prec@5 77.344 (75.624)
Epoch: [52][13630/14090]	Time 0.732 (0.761)	Data 0.001 (0.001)	Loss 2.2751 (2.1782)	Prec@1 45.312 (45.021)	Prec@5 73.438 (75.624)
Epoch: [52][13640/14090]	Time 0.730 (0.761)	Data 0.001 (0.001)	Loss 2.0244 (2.1782)	Prec@1 52.344 (45.023)	Prec@5 78.906 (75.626)
Epoch: [52][13650/14090]	Time 0.752 (0.761)	Data 0.001 (0.001)	Loss 2.0923 (2.1780)	Prec@1 51.562 (45.026)	Prec@5 78.906 (75.628)
Epoch: [52][13660/14090]	Time 0.822 (0.761)	Data 0.001 (0.001)	Loss 2.3235 (2.1781)	Prec@1 40.625 (45.024)	Prec@5 71.094 (75.627)
Epoch: [52][13670/14090]	Time 0.780 (0.761)	Data 0.001 (0.001)	Loss 2.4305 (2.1782)	Prec@1 41.406 (45.023)	Prec@5 71.094 (75.626)
Epoch: [52][13680/14090]	Time 0.778 (0.761)	Data 0.001 (0.001)	Loss 2.2569 (2.1781)	Prec@1 42.188 (45.024)	Prec@5 75.000 (75.626)
Epoch: [52][13690/14090]	Time 0.734 (0.761)	Data 0.001 (0.001)	Loss 1.9490 (2.1781)	Prec@1 51.562 (45.025)	Prec@5 78.906 (75.628)
Epoch: [52][13700/14090]	Time 0.729 (0.761)	Data 0.001 (0.001)	Loss 2.2334 (2.1781)	Prec@1 47.656 (45.025)	Prec@5 68.750 (75.628)
Epoch: [52][13710/14090]	Time 0.761 (0.761)	Data 0.001 (0.001)	Loss 2.1712 (2.1781)	Prec@1 44.531 (45.025)	Prec@5 72.656 (75.628)
Epoch: [52][13720/14090]	Time 0.733 (0.761)	Data 0.001 (0.001)	Loss 2.1410 (2.1781)	Prec@1 46.094 (45.023)	Prec@5 74.219 (75.628)
Epoch: [52][13730/14090]	Time 0.782 (0.761)	Data 0.001 (0.001)	Loss 2.3610 (2.1781)	Prec@1 45.312 (45.025)	Prec@5 75.781 (75.628)
Epoch: [52][13740/14090]	Time 0.740 (0.761)	Data 0.001 (0.001)	Loss 2.1756 (2.1781)	Prec@1 40.625 (45.025)	Prec@5 80.469 (75.628)
Epoch: [52][13750/14090]	Time 0.768 (0.761)	Data 0.001 (0.001)	Loss 2.2331 (2.1781)	Prec@1 42.188 (45.027)	Prec@5 75.781 (75.628)
Epoch: [52][13760/14090]	Time 0.760 (0.761)	Data 0.001 (0.001)	Loss 2.1259 (2.1780)	Prec@1 46.875 (45.027)	Prec@5 79.688 (75.629)
Epoch: [52][13770/14090]	Time 0.732 (0.761)	Data 0.001 (0.001)	Loss 2.0362 (2.1780)	Prec@1 50.000 (45.028)	Prec@5 78.125 (75.630)
Epoch: [52][13780/14090]	Time 0.746 (0.761)	Data 0.001 (0.001)	Loss 2.0275 (2.1780)	Prec@1 46.094 (45.028)	Prec@5 78.906 (75.631)
Epoch: [52][13790/14090]	Time 0.738 (0.761)	Data 0.001 (0.001)	Loss 2.1064 (2.1780)	Prec@1 41.406 (45.028)	Prec@5 81.250 (75.631)
Epoch: [52][13800/14090]	Time 0.875 (0.761)	Data 0.001 (0.001)	Loss 2.2695 (2.1780)	Prec@1 45.312 (45.026)	Prec@5 73.438 (75.630)
Epoch: [52][13810/14090]	Time 0.731 (0.761)	Data 0.001 (0.001)	Loss 2.4070 (2.1781)	Prec@1 45.312 (45.026)	Prec@5 71.875 (75.629)
Epoch: [52][13820/14090]	Time 0.761 (0.761)	Data 0.001 (0.001)	Loss 2.2596 (2.1781)	Prec@1 45.312 (45.026)	Prec@5 75.000 (75.629)
Epoch: [52][13830/14090]	Time 0.734 (0.761)	Data 0.001 (0.001)	Loss 2.2378 (2.1781)	Prec@1 41.406 (45.024)	Prec@5 71.875 (75.628)
Epoch: [52][13840/14090]	Time 0.760 (0.761)	Data 0.001 (0.001)	Loss 2.1035 (2.1781)	Prec@1 47.656 (45.024)	Prec@5 75.781 (75.627)
Epoch: [52][13850/14090]	Time 0.745 (0.761)	Data 0.001 (0.001)	Loss 2.0791 (2.1782)	Prec@1 50.781 (45.023)	Prec@5 75.781 (75.626)
Epoch: [52][13860/14090]	Time 0.782 (0.761)	Data 0.002 (0.001)	Loss 2.1417 (2.1782)	Prec@1 43.750 (45.022)	Prec@5 76.562 (75.626)
Epoch: [52][13870/14090]	Time 0.813 (0.761)	Data 0.001 (0.001)	Loss 2.2655 (2.1782)	Prec@1 49.219 (45.023)	Prec@5 73.438 (75.626)
Epoch: [52][13880/14090]	Time 0.778 (0.761)	Data 0.001 (0.001)	Loss 2.2173 (2.1783)	Prec@1 39.844 (45.022)	Prec@5 79.688 (75.625)
Epoch: [52][13890/14090]	Time 0.753 (0.761)	Data 0.001 (0.001)	Loss 2.2424 (2.1782)	Prec@1 45.312 (45.021)	Prec@5 72.656 (75.626)
Epoch: [52][13900/14090]	Time 0.745 (0.761)	Data 0.001 (0.001)	Loss 2.2022 (2.1783)	Prec@1 48.438 (45.021)	Prec@5 77.344 (75.626)
Epoch: [52][13910/14090]	Time 0.747 (0.761)	Data 0.001 (0.001)	Loss 2.3861 (2.1782)	Prec@1 38.281 (45.021)	Prec@5 71.875 (75.627)
Epoch: [52][13920/14090]	Time 0.754 (0.761)	Data 0.001 (0.001)	Loss 2.3937 (2.1783)	Prec@1 45.312 (45.019)	Prec@5 71.875 (75.626)
Epoch: [52][13930/14090]	Time 0.750 (0.761)	Data 0.001 (0.001)	Loss 2.1119 (2.1783)	Prec@1 47.656 (45.019)	Prec@5 81.250 (75.626)
Epoch: [52][13940/14090]	Time 0.888 (0.761)	Data 0.001 (0.001)	Loss 2.2957 (2.1783)	Prec@1 40.625 (45.019)	Prec@5 75.000 (75.625)
Epoch: [52][13950/14090]	Time 0.725 (0.761)	Data 0.001 (0.001)	Loss 2.5522 (2.1784)	Prec@1 37.500 (45.018)	Prec@5 70.312 (75.625)
Epoch: [52][13960/14090]	Time 0.747 (0.761)	Data 0.001 (0.001)	Loss 2.1776 (2.1784)	Prec@1 42.188 (45.016)	Prec@5 78.125 (75.624)
Epoch: [52][13970/14090]	Time 0.747 (0.761)	Data 0.001 (0.001)	Loss 1.9257 (2.1783)	Prec@1 54.688 (45.019)	Prec@5 78.906 (75.625)
Epoch: [52][13980/14090]	Time 0.760 (0.761)	Data 0.001 (0.001)	Loss 2.3962 (2.1784)	Prec@1 39.844 (45.016)	Prec@5 71.875 (75.625)
Epoch: [52][13990/14090]	Time 0.730 (0.761)	Data 0.001 (0.001)	Loss 2.2133 (2.1784)	Prec@1 41.406 (45.014)	Prec@5 74.219 (75.624)
Epoch: [52][14000/14090]	Time 0.734 (0.761)	Data 0.001 (0.001)	Loss 2.3981 (2.1784)	Prec@1 41.406 (45.015)	Prec@5 72.656 (75.624)
Epoch: [52][14010/14090]	Time 0.782 (0.761)	Data 0.001 (0.001)	Loss 2.1947 (2.1785)	Prec@1 46.094 (45.015)	Prec@5 68.750 (75.624)
Epoch: [52][14020/14090]	Time 0.731 (0.761)	Data 0.001 (0.001)	Loss 2.1561 (2.1784)	Prec@1 50.000 (45.016)	Prec@5 71.875 (75.623)
Epoch: [52][14030/14090]	Time 0.759 (0.761)	Data 0.001 (0.001)	Loss 2.4554 (2.1784)	Prec@1 42.188 (45.016)	Prec@5 71.875 (75.623)
Epoch: [52][14040/14090]	Time 0.777 (0.761)	Data 0.001 (0.001)	Loss 2.1305 (2.1785)	Prec@1 46.875 (45.017)	Prec@5 76.562 (75.622)
Epoch: [52][14050/14090]	Time 0.727 (0.761)	Data 0.001 (0.001)	Loss 2.1728 (2.1785)	Prec@1 43.750 (45.017)	Prec@5 79.688 (75.622)
Epoch: [52][14060/14090]	Time 0.732 (0.761)	Data 0.001 (0.001)	Loss 2.1347 (2.1784)	Prec@1 46.094 (45.017)	Prec@5 78.125 (75.622)
Epoch: [52][14070/14090]	Time 0.747 (0.761)	Data 0.001 (0.001)	Loss 2.1471 (2.1784)	Prec@1 42.969 (45.017)	Prec@5 75.781 (75.622)
Epoch: [52][14080/14090]	Time 0.824 (0.761)	Data 0.000 (0.001)	Loss 2.2680 (2.1784)	Prec@1 43.750 (45.017)	Prec@5 75.781 (75.623)
Test: [0/286]	Time 4.620 (4.620)	Loss 1.3897 (1.3897)	Prec@1 53.906 (53.906)	Prec@5 95.312 (95.312)
Test: [10/286]	Time 0.284 (0.791)	Loss 1.6154 (2.0014)	Prec@1 55.469 (47.656)	Prec@5 86.719 (80.966)
Test: [20/286]	Time 0.234 (0.612)	Loss 1.7623 (1.9260)	Prec@1 56.250 (49.330)	Prec@5 85.156 (82.478)
Test: [30/286]	Time 0.316 (0.548)	Loss 2.0280 (1.8461)	Prec@1 47.656 (51.689)	Prec@5 80.469 (82.888)
Test: [40/286]	Time 1.449 (0.547)	Loss 1.6227 (1.8620)	Prec@1 52.344 (51.296)	Prec@5 85.938 (82.546)
Test: [50/286]	Time 0.259 (0.521)	Loss 0.7427 (1.8543)	Prec@1 85.938 (51.700)	Prec@5 92.969 (82.552)
Test: [60/286]	Time 0.261 (0.504)	Loss 2.6645 (1.8894)	Prec@1 36.719 (51.191)	Prec@5 67.188 (81.340)
Test: [70/286]	Time 0.239 (0.489)	Loss 1.2328 (1.8642)	Prec@1 67.969 (51.629)	Prec@5 91.406 (81.734)
Test: [80/286]	Time 1.769 (0.497)	Loss 1.9446 (1.8752)	Prec@1 46.094 (50.858)	Prec@5 82.812 (81.800)
Test: [90/286]	Time 0.252 (0.488)	Loss 2.3890 (1.8721)	Prec@1 38.281 (51.082)	Prec@5 81.250 (81.988)
Test: [100/286]	Time 0.236 (0.480)	Loss 2.6240 (1.8830)	Prec@1 24.219 (50.534)	Prec@5 75.000 (82.047)
Test: [110/286]	Time 0.299 (0.474)	Loss 2.2420 (1.8940)	Prec@1 41.406 (50.282)	Prec@5 77.344 (82.024)
Test: [120/286]	Time 1.597 (0.479)	Loss 1.7399 (1.8776)	Prec@1 59.375 (50.930)	Prec@5 82.812 (82.270)
Test: [130/286]	Time 0.296 (0.475)	Loss 1.3290 (1.8737)	Prec@1 59.375 (51.073)	Prec@5 91.406 (82.306)
Test: [140/286]	Time 0.304 (0.470)	Loss 2.4054 (1.8740)	Prec@1 48.438 (51.114)	Prec@5 71.875 (82.214)
Test: [150/286]	Time 0.279 (0.467)	Loss 2.7668 (1.8931)	Prec@1 25.000 (50.507)	Prec@5 74.219 (82.031)
Test: [160/286]	Time 1.226 (0.469)	Loss 2.3691 (1.8882)	Prec@1 32.031 (50.597)	Prec@5 78.125 (82.128)
Test: [170/286]	Time 0.247 (0.468)	Loss 2.0077 (1.8793)	Prec@1 48.438 (50.845)	Prec@5 82.031 (82.264)
Test: [180/286]	Time 0.338 (0.467)	Loss 1.8141 (1.8878)	Prec@1 58.594 (50.643)	Prec@5 80.469 (82.174)
Test: [190/286]	Time 0.271 (0.463)	Loss 3.0162 (1.9061)	Prec@1 17.188 (50.110)	Prec@5 73.438 (82.048)
Test: [200/286]	Time 1.129 (0.465)	Loss 2.0537 (1.9035)	Prec@1 56.250 (50.245)	Prec@5 82.812 (82.086)
Test: [210/286]	Time 0.229 (0.464)	Loss 2.2577 (1.9142)	Prec@1 40.625 (50.000)	Prec@5 75.781 (81.891)
Test: [220/286]	Time 0.291 (0.462)	Loss 3.1219 (1.9168)	Prec@1 16.406 (50.014)	Prec@5 61.719 (81.759)
Test: [230/286]	Time 0.357 (0.461)	Loss 1.3473 (1.9155)	Prec@1 64.062 (50.091)	Prec@5 88.281 (81.693)
Test: [240/286]	Time 0.850 (0.462)	Loss 1.9578 (1.9142)	Prec@1 54.688 (50.246)	Prec@5 83.594 (81.723)
Test: [250/286]	Time 0.306 (0.461)	Loss 2.2310 (1.9078)	Prec@1 39.062 (50.237)	Prec@5 78.906 (81.913)
Test: [260/286]	Time 0.291 (0.460)	Loss 1.6724 (1.8988)	Prec@1 57.812 (50.479)	Prec@5 88.281 (82.115)
Test: [270/286]	Time 0.316 (0.458)	Loss 1.3994 (1.9015)	Prec@1 66.406 (50.389)	Prec@5 88.281 (82.112)
Test: [280/286]	Time 1.295 (0.461)	Loss 1.8232 (1.8848)	Prec@1 53.906 (50.937)	Prec@5 89.062 (82.295)
 * Prec@1 51.067 Prec@5 82.304
Epoch: [53][0/14090]	Time 6.302 (6.302)	Data 5.526 (5.526)	Loss 2.1273 (2.1273)	Prec@1 48.438 (48.438)	Prec@5 75.781 (75.781)
Epoch: [53][10/14090]	Time 0.739 (1.237)	Data 0.001 (0.503)	Loss 2.1314 (2.1690)	Prec@1 43.750 (45.028)	Prec@5 81.250 (76.278)
Epoch: [53][20/14090]	Time 0.723 (1.000)	Data 0.001 (0.264)	Loss 2.1247 (2.1462)	Prec@1 46.875 (45.164)	Prec@5 73.438 (76.562)
Epoch: [53][30/14090]	Time 0.723 (0.914)	Data 0.001 (0.179)	Loss 2.5480 (2.1459)	Prec@1 39.844 (45.262)	Prec@5 64.844 (76.537)
Epoch: [53][40/14090]	Time 0.755 (0.874)	Data 0.001 (0.136)	Loss 2.1662 (2.1553)	Prec@1 45.312 (45.465)	Prec@5 76.562 (76.258)
Epoch: [53][50/14090]	Time 0.768 (0.848)	Data 0.001 (0.109)	Loss 2.3099 (2.1470)	Prec@1 42.969 (45.558)	Prec@5 69.531 (76.241)
Epoch: [53][60/14090]	Time 0.749 (0.831)	Data 0.001 (0.091)	Loss 2.3034 (2.1581)	Prec@1 42.188 (45.223)	Prec@5 69.531 (75.909)
Epoch: [53][70/14090]	Time 0.733 (0.820)	Data 0.001 (0.079)	Loss 1.8993 (2.1543)	Prec@1 50.000 (44.971)	Prec@5 82.812 (75.935)
Epoch: [53][80/14090]	Time 0.729 (0.811)	Data 0.001 (0.069)	Loss 2.1125 (2.1542)	Prec@1 47.656 (45.177)	Prec@5 72.656 (75.868)
Epoch: [53][90/14090]	Time 0.752 (0.804)	Data 0.001 (0.061)	Loss 2.1868 (2.1583)	Prec@1 44.531 (45.132)	Prec@5 74.219 (75.704)
Epoch: [53][100/14090]	Time 0.750 (0.798)	Data 0.001 (0.055)	Loss 2.3554 (2.1598)	Prec@1 35.156 (44.933)	Prec@5 70.312 (75.750)
Epoch: [53][110/14090]	Time 0.730 (0.794)	Data 0.001 (0.051)	Loss 2.2298 (2.1619)	Prec@1 41.406 (44.806)	Prec@5 72.656 (75.697)
Epoch: [53][120/14090]	Time 0.766 (0.791)	Data 0.001 (0.046)	Loss 2.0786 (2.1677)	Prec@1 47.656 (44.757)	Prec@5 77.344 (75.581)
Epoch: [53][130/14090]	Time 0.753 (0.788)	Data 0.001 (0.043)	Loss 2.5480 (2.1749)	Prec@1 35.156 (44.627)	Prec@5 69.531 (75.465)
Epoch: [53][140/14090]	Time 0.756 (0.785)	Data 0.001 (0.040)	Loss 2.0885 (2.1723)	Prec@1 48.438 (44.686)	Prec@5 79.688 (75.571)
Epoch: [53][150/14090]	Time 0.741 (0.782)	Data 0.001 (0.037)	Loss 2.1769 (2.1694)	Prec@1 47.656 (44.785)	Prec@5 75.000 (75.642)
Epoch: [53][160/14090]	Time 0.731 (0.780)	Data 0.001 (0.035)	Loss 1.9124 (2.1683)	Prec@1 49.219 (44.793)	Prec@5 75.781 (75.553)
Epoch: [53][170/14090]	Time 0.757 (0.779)	Data 0.001 (0.033)	Loss 2.2564 (2.1678)	Prec@1 40.625 (44.892)	Prec@5 78.906 (75.662)
Epoch: [53][180/14090]	Time 0.736 (0.777)	Data 0.001 (0.031)	Loss 2.2001 (2.1634)	Prec@1 46.094 (45.075)	Prec@5 75.781 (75.751)
Epoch: [53][190/14090]	Time 0.747 (0.776)	Data 0.001 (0.030)	Loss 2.1139 (2.1642)	Prec@1 40.625 (45.018)	Prec@5 75.000 (75.699)
Epoch: [53][200/14090]	Time 0.775 (0.775)	Data 0.001 (0.028)	Loss 2.2477 (2.1630)	Prec@1 41.406 (44.994)	Prec@5 71.875 (75.700)
Epoch: [53][210/14090]	Time 0.775 (0.774)	Data 0.001 (0.027)	Loss 2.2260 (2.1642)	Prec@1 44.531 (45.064)	Prec@5 72.656 (75.666)
Epoch: [53][220/14090]	Time 0.734 (0.773)	Data 0.001 (0.026)	Loss 2.0274 (2.1639)	Prec@1 45.312 (45.090)	Prec@5 77.344 (75.650)
Epoch: [53][230/14090]	Time 0.770 (0.772)	Data 0.001 (0.025)	Loss 2.4794 (2.1691)	Prec@1 39.844 (44.998)	Prec@5 73.438 (75.588)
Epoch: [53][240/14090]	Time 0.725 (0.770)	Data 0.001 (0.024)	Loss 1.8300 (2.1626)	Prec@1 53.125 (45.183)	Prec@5 80.469 (75.720)
Epoch: [53][250/14090]	Time 0.755 (0.770)	Data 0.001 (0.023)	Loss 2.1983 (2.1604)	Prec@1 44.531 (45.222)	Prec@5 75.781 (75.766)
Epoch: [53][260/14090]	Time 0.739 (0.769)	Data 0.001 (0.022)	Loss 2.0997 (2.1586)	Prec@1 45.312 (45.301)	Prec@5 75.000 (75.823)
Epoch: [53][270/14090]	Time 0.756 (0.768)	Data 0.001 (0.021)	Loss 2.0361 (2.1598)	Prec@1 46.875 (45.347)	Prec@5 76.562 (75.764)
Epoch: [53][280/14090]	Time 0.766 (0.768)	Data 0.001 (0.020)	Loss 1.7853 (2.1592)	Prec@1 50.781 (45.357)	Prec@5 82.031 (75.776)
Epoch: [53][290/14090]	Time 0.765 (0.767)	Data 0.001 (0.020)	Loss 2.2331 (2.1585)	Prec@1 47.656 (45.345)	Prec@5 73.438 (75.784)
Epoch: [53][300/14090]	Time 0.727 (0.767)	Data 0.001 (0.019)	Loss 2.4920 (2.1592)	Prec@1 38.281 (45.331)	Prec@5 67.969 (75.779)
Epoch: [53][310/14090]	Time 0.743 (0.766)	Data 0.001 (0.019)	Loss 2.0544 (2.1593)	Prec@1 46.094 (45.360)	Prec@5 78.906 (75.796)
Epoch: [53][320/14090]	Time 0.739 (0.766)	Data 0.001 (0.018)	Loss 1.8298 (2.1554)	Prec@1 51.562 (45.434)	Prec@5 81.250 (75.896)
Epoch: [53][330/14090]	Time 0.739 (0.765)	Data 0.002 (0.017)	Loss 2.2359 (2.1571)	Prec@1 42.969 (45.407)	Prec@5 78.906 (75.897)
Epoch: [53][340/14090]	Time 0.733 (0.765)	Data 0.001 (0.017)	Loss 2.3137 (2.1558)	Prec@1 42.188 (45.471)	Prec@5 70.312 (75.962)
Epoch: [53][350/14090]	Time 0.732 (0.764)	Data 0.001 (0.017)	Loss 2.0417 (2.1542)	Prec@1 50.000 (45.540)	Prec@5 74.219 (76.026)
Epoch: [53][360/14090]	Time 0.778 (0.764)	Data 0.001 (0.016)	Loss 2.4119 (2.1537)	Prec@1 39.844 (45.561)	Prec@5 70.312 (76.039)
Epoch: [53][370/14090]	Time 0.746 (0.763)	Data 0.001 (0.016)	Loss 2.4477 (2.1544)	Prec@1 38.281 (45.513)	Prec@5 68.750 (76.032)
Epoch: [53][380/14090]	Time 0.739 (0.763)	Data 0.001 (0.015)	Loss 2.1864 (2.1543)	Prec@1 45.312 (45.563)	Prec@5 75.781 (76.036)
Epoch: [53][390/14090]	Time 0.734 (0.763)	Data 0.001 (0.015)	Loss 2.1703 (2.1545)	Prec@1 39.844 (45.542)	Prec@5 77.344 (76.041)
Epoch: [53][400/14090]	Time 0.766 (0.763)	Data 0.001 (0.015)	Loss 2.1493 (2.1559)	Prec@1 48.438 (45.542)	Prec@5 74.219 (76.003)
Epoch: [53][410/14090]	Time 0.728 (0.762)	Data 0.001 (0.014)	Loss 2.0282 (2.1570)	Prec@1 42.969 (45.518)	Prec@5 76.562 (75.958)
Epoch: [53][420/14090]	Time 0.752 (0.762)	Data 0.001 (0.014)	Loss 2.1102 (2.1569)	Prec@1 47.656 (45.522)	Prec@5 77.344 (75.989)
Epoch: [53][430/14090]	Time 0.764 (0.762)	Data 0.001 (0.014)	Loss 1.7981 (2.1556)	Prec@1 53.125 (45.583)	Prec@5 82.812 (76.004)
Epoch: [53][440/14090]	Time 0.729 (0.761)	Data 0.001 (0.013)	Loss 2.1973 (2.1564)	Prec@1 40.625 (45.585)	Prec@5 74.219 (75.965)
Epoch: [53][450/14090]	Time 0.774 (0.761)	Data 0.001 (0.013)	Loss 2.0422 (2.1564)	Prec@1 46.094 (45.591)	Prec@5 78.906 (75.982)
Epoch: [53][460/14090]	Time 0.787 (0.761)	Data 0.001 (0.013)	Loss 2.2203 (2.1568)	Prec@1 42.188 (45.589)	Prec@5 75.781 (75.976)
Epoch: [53][470/14090]	Time 0.733 (0.761)	Data 0.001 (0.013)	Loss 2.1825 (2.1544)	Prec@1 39.844 (45.672)	Prec@5 72.656 (76.015)
Epoch: [53][480/14090]	Time 0.763 (0.761)	Data 0.001 (0.012)	Loss 2.1274 (2.1553)	Prec@1 41.406 (45.667)	Prec@5 75.000 (75.983)
Epoch: [53][490/14090]	Time 0.749 (0.760)	Data 0.001 (0.012)	Loss 1.7931 (2.1542)	Prec@1 53.906 (45.698)	Prec@5 82.812 (75.999)
Epoch: [53][500/14090]	Time 0.758 (0.760)	Data 0.001 (0.012)	Loss 2.1460 (2.1534)	Prec@1 46.875 (45.735)	Prec@5 74.219 (76.040)
Epoch: [53][510/14090]	Time 0.722 (0.760)	Data 0.001 (0.012)	Loss 1.7552 (2.1543)	Prec@1 50.781 (45.701)	Prec@5 86.719 (76.044)
Epoch: [53][520/14090]	Time 0.730 (0.759)	Data 0.001 (0.011)	Loss 2.0615 (2.1551)	Prec@1 53.125 (45.678)	Prec@5 75.000 (76.012)
Epoch: [53][530/14090]	Time 0.728 (0.759)	Data 0.001 (0.011)	Loss 2.1273 (2.1554)	Prec@1 41.406 (45.671)	Prec@5 78.906 (76.017)
Epoch: [53][540/14090]	Time 0.786 (0.759)	Data 0.001 (0.011)	Loss 1.8968 (2.1552)	Prec@1 53.906 (45.678)	Prec@5 78.906 (76.012)
Epoch: [53][550/14090]	Time 0.734 (0.759)	Data 0.001 (0.011)	Loss 2.1208 (2.1545)	Prec@1 46.875 (45.657)	Prec@5 72.656 (76.028)
Epoch: [53][560/14090]	Time 0.751 (0.759)	Data 0.001 (0.011)	Loss 1.9474 (2.1545)	Prec@1 50.781 (45.666)	Prec@5 78.906 (76.012)
Epoch: [53][570/14090]	Time 0.771 (0.759)	Data 0.001 (0.010)	Loss 2.3581 (2.1555)	Prec@1 43.750 (45.653)	Prec@5 71.875 (76.007)
Epoch: [53][580/14090]	Time 0.769 (0.758)	Data 0.001 (0.010)	Loss 2.0968 (2.1558)	Prec@1 50.000 (45.649)	Prec@5 78.125 (76.004)
Epoch: [53][590/14090]	Time 0.728 (0.758)	Data 0.001 (0.010)	Loss 1.8982 (2.1545)	Prec@1 53.906 (45.681)	Prec@5 84.375 (76.044)
Epoch: [53][600/14090]	Time 0.752 (0.758)	Data 0.001 (0.010)	Loss 2.3309 (2.1545)	Prec@1 44.531 (45.689)	Prec@5 71.094 (76.037)
Epoch: [53][610/14090]	Time 0.741 (0.758)	Data 0.002 (0.010)	Loss 2.2606 (2.1551)	Prec@1 46.094 (45.682)	Prec@5 74.219 (76.032)
Epoch: [53][620/14090]	Time 0.786 (0.758)	Data 0.001 (0.010)	Loss 2.0050 (2.1562)	Prec@1 46.875 (45.662)	Prec@5 79.688 (76.019)
Epoch: [53][630/14090]	Time 0.735 (0.757)	Data 0.001 (0.010)	Loss 2.1386 (2.1568)	Prec@1 47.656 (45.651)	Prec@5 77.344 (76.005)
Epoch: [53][640/14090]	Time 0.732 (0.757)	Data 0.001 (0.009)	Loss 1.9134 (2.1559)	Prec@1 48.438 (45.668)	Prec@5 80.469 (76.010)
Epoch: [53][650/14090]	Time 0.777 (0.757)	Data 0.001 (0.009)	Loss 2.1034 (2.1559)	Prec@1 45.312 (45.683)	Prec@5 79.688 (76.019)
Epoch: [53][660/14090]	Time 0.754 (0.757)	Data 0.001 (0.009)	Loss 2.0836 (2.1552)	Prec@1 41.406 (45.690)	Prec@5 80.469 (76.022)
Epoch: [53][670/14090]	Time 0.756 (0.757)	Data 0.001 (0.009)	Loss 2.4423 (2.1568)	Prec@1 42.188 (45.661)	Prec@5 72.656 (75.995)
Epoch: [53][680/14090]	Time 0.756 (0.757)	Data 0.001 (0.009)	Loss 2.1109 (2.1571)	Prec@1 50.000 (45.668)	Prec@5 78.906 (75.989)
Epoch: [53][690/14090]	Time 0.763 (0.757)	Data 0.001 (0.009)	Loss 2.1799 (2.1570)	Prec@1 40.625 (45.656)	Prec@5 73.438 (75.993)
Epoch: [53][700/14090]	Time 0.748 (0.756)	Data 0.001 (0.009)	Loss 2.4533 (2.1565)	Prec@1 35.938 (45.676)	Prec@5 71.094 (75.987)
Epoch: [53][710/14090]	Time 0.744 (0.756)	Data 0.001 (0.009)	Loss 2.4462 (2.1567)	Prec@1 34.375 (45.659)	Prec@5 73.438 (75.976)
Epoch: [53][720/14090]	Time 0.761 (0.756)	Data 0.001 (0.008)	Loss 1.9911 (2.1563)	Prec@1 47.656 (45.665)	Prec@5 81.250 (75.989)
Epoch: [53][730/14090]	Time 0.779 (0.756)	Data 0.001 (0.008)	Loss 2.1809 (2.1573)	Prec@1 44.531 (45.615)	Prec@5 75.000 (75.958)
Epoch: [53][740/14090]	Time 0.785 (0.756)	Data 0.001 (0.008)	Loss 2.2167 (2.1566)	Prec@1 46.094 (45.627)	Prec@5 74.219 (75.953)
Epoch: [53][750/14090]	Time 0.748 (0.756)	Data 0.001 (0.008)	Loss 2.1001 (2.1572)	Prec@1 47.656 (45.629)	Prec@5 76.562 (75.932)
Epoch: [53][760/14090]	Time 0.743 (0.756)	Data 0.001 (0.008)	Loss 1.9600 (2.1576)	Prec@1 46.094 (45.610)	Prec@5 81.250 (75.927)
Epoch: [53][770/14090]	Time 0.740 (0.756)	Data 0.002 (0.008)	Loss 2.1353 (2.1565)	Prec@1 46.094 (45.659)	Prec@5 81.250 (75.946)
Epoch: [53][780/14090]	Time 0.729 (0.756)	Data 0.001 (0.008)	Loss 2.1633 (2.1568)	Prec@1 45.312 (45.644)	Prec@5 77.344 (75.946)
Epoch: [53][790/14090]	Time 0.755 (0.756)	Data 0.001 (0.008)	Loss 2.0186 (2.1572)	Prec@1 53.125 (45.641)	Prec@5 75.781 (75.935)
Epoch: [53][800/14090]	Time 0.748 (0.756)	Data 0.001 (0.008)	Loss 2.0473 (2.1574)	Prec@1 48.438 (45.614)	Prec@5 75.781 (75.922)
Epoch: [53][810/14090]	Time 0.735 (0.756)	Data 0.001 (0.008)	Loss 2.2130 (2.1573)	Prec@1 46.875 (45.642)	Prec@5 73.438 (75.919)
Epoch: [53][820/14090]	Time 0.739 (0.756)	Data 0.001 (0.008)	Loss 2.0787 (2.1569)	Prec@1 47.656 (45.658)	Prec@5 79.688 (75.926)
Epoch: [53][830/14090]	Time 0.750 (0.756)	Data 0.001 (0.007)	Loss 2.1432 (2.1573)	Prec@1 42.969 (45.651)	Prec@5 76.562 (75.905)
Epoch: [53][840/14090]	Time 0.740 (0.756)	Data 0.001 (0.007)	Loss 2.2177 (2.1572)	Prec@1 44.531 (45.646)	Prec@5 75.781 (75.910)
Epoch: [53][850/14090]	Time 0.754 (0.756)	Data 0.001 (0.007)	Loss 1.9477 (2.1571)	Prec@1 46.875 (45.644)	Prec@5 79.688 (75.925)
Epoch: [53][860/14090]	Time 0.771 (0.756)	Data 0.001 (0.007)	Loss 1.8631 (2.1574)	Prec@1 59.375 (45.635)	Prec@5 82.812 (75.934)
Epoch: [53][870/14090]	Time 0.760 (0.756)	Data 0.001 (0.007)	Loss 2.0828 (2.1579)	Prec@1 46.094 (45.619)	Prec@5 75.000 (75.933)
Epoch: [53][880/14090]	Time 0.774 (0.756)	Data 0.001 (0.007)	Loss 2.1515 (2.1583)	Prec@1 44.531 (45.606)	Prec@5 75.781 (75.916)
Epoch: [53][890/14090]	Time 0.777 (0.756)	Data 0.001 (0.007)	Loss 2.2739 (2.1585)	Prec@1 42.969 (45.606)	Prec@5 77.344 (75.920)
Epoch: [53][900/14090]	Time 0.748 (0.756)	Data 0.001 (0.007)	Loss 1.9418 (2.1587)	Prec@1 46.875 (45.583)	Prec@5 82.812 (75.931)
Epoch: [53][910/14090]	Time 0.723 (0.755)	Data 0.001 (0.007)	Loss 2.1261 (2.1579)	Prec@1 37.500 (45.582)	Prec@5 75.781 (75.942)
Epoch: [53][920/14090]	Time 0.790 (0.755)	Data 0.001 (0.007)	Loss 2.2983 (2.1570)	Prec@1 41.406 (45.606)	Prec@5 76.562 (75.956)
Epoch: [53][930/14090]	Time 0.756 (0.755)	Data 0.001 (0.007)	Loss 2.1343 (2.1566)	Prec@1 46.094 (45.626)	Prec@5 78.125 (75.967)
Epoch: [53][940/14090]	Time 0.727 (0.755)	Data 0.001 (0.007)	Loss 2.1075 (2.1559)	Prec@1 50.000 (45.652)	Prec@5 77.344 (75.981)
Epoch: [53][950/14090]	Time 0.747 (0.755)	Data 0.001 (0.007)	Loss 2.1500 (2.1559)	Prec@1 38.281 (45.650)	Prec@5 80.469 (75.984)
Epoch: [53][960/14090]	Time 0.736 (0.755)	Data 0.001 (0.007)	Loss 2.0722 (2.1565)	Prec@1 46.094 (45.638)	Prec@5 77.344 (75.967)
Epoch: [53][970/14090]	Time 0.748 (0.755)	Data 0.001 (0.006)	Loss 2.3430 (2.1568)	Prec@1 45.312 (45.644)	Prec@5 74.219 (75.960)
Epoch: [53][980/14090]	Time 0.721 (0.755)	Data 0.001 (0.006)	Loss 1.8123 (2.1567)	Prec@1 53.906 (45.649)	Prec@5 79.688 (75.955)
Epoch: [53][990/14090]	Time 0.781 (0.755)	Data 0.001 (0.006)	Loss 2.2615 (2.1567)	Prec@1 43.750 (45.641)	Prec@5 78.906 (75.967)
Epoch: [53][1000/14090]	Time 0.746 (0.755)	Data 0.001 (0.006)	Loss 2.2391 (2.1565)	Prec@1 43.750 (45.643)	Prec@5 75.781 (75.979)
Epoch: [53][1010/14090]	Time 0.728 (0.755)	Data 0.001 (0.006)	Loss 2.1956 (2.1571)	Prec@1 48.438 (45.639)	Prec@5 71.094 (75.957)
Epoch: [53][1020/14090]	Time 0.728 (0.755)	Data 0.001 (0.006)	Loss 2.3442 (2.1583)	Prec@1 45.312 (45.621)	Prec@5 75.000 (75.918)
Epoch: [53][1030/14090]	Time 0.749 (0.755)	Data 0.001 (0.006)	Loss 2.0098 (2.1578)	Prec@1 51.562 (45.622)	Prec@5 78.906 (75.933)
Epoch: [53][1040/14090]	Time 0.750 (0.755)	Data 0.001 (0.006)	Loss 2.4612 (2.1585)	Prec@1 40.625 (45.604)	Prec@5 77.344 (75.929)
Epoch: [53][1050/14090]	Time 0.728 (0.755)	Data 0.001 (0.006)	Loss 2.1393 (2.1579)	Prec@1 46.875 (45.602)	Prec@5 75.781 (75.932)
Epoch: [53][1060/14090]	Time 0.782 (0.755)	Data 0.001 (0.006)	Loss 1.8638 (2.1576)	Prec@1 50.781 (45.621)	Prec@5 84.375 (75.950)
Epoch: [53][1070/14090]	Time 0.748 (0.755)	Data 0.001 (0.006)	Loss 2.1710 (2.1583)	Prec@1 46.094 (45.616)	Prec@5 73.438 (75.930)
Epoch: [53][1080/14090]	Time 0.769 (0.755)	Data 0.001 (0.006)	Loss 2.0879 (2.1584)	Prec@1 45.312 (45.590)	Prec@5 74.219 (75.942)
Epoch: [53][1090/14090]	Time 0.743 (0.755)	Data 0.001 (0.006)	Loss 1.8665 (2.1580)	Prec@1 53.906 (45.595)	Prec@5 83.594 (75.953)
Epoch: [53][1100/14090]	Time 0.769 (0.755)	Data 0.001 (0.006)	Loss 2.0870 (2.1584)	Prec@1 44.531 (45.595)	Prec@5 80.469 (75.950)
Epoch: [53][1110/14090]	Time 0.750 (0.755)	Data 0.001 (0.006)	Loss 2.1674 (2.1583)	Prec@1 46.875 (45.595)	Prec@5 78.906 (75.944)
Epoch: [53][1120/14090]	Time 0.762 (0.755)	Data 0.001 (0.006)	Loss 2.4174 (2.1589)	Prec@1 37.500 (45.577)	Prec@5 75.000 (75.937)
Epoch: [53][1130/14090]	Time 0.740 (0.755)	Data 0.001 (0.006)	Loss 1.8100 (2.1585)	Prec@1 53.125 (45.581)	Prec@5 82.031 (75.955)
Epoch: [53][1140/14090]	Time 0.734 (0.755)	Data 0.001 (0.006)	Loss 2.2698 (2.1584)	Prec@1 46.094 (45.586)	Prec@5 78.906 (75.955)
Epoch: [53][1150/14090]	Time 0.737 (0.754)	Data 0.001 (0.006)	Loss 2.2355 (2.1586)	Prec@1 44.531 (45.580)	Prec@5 75.781 (75.949)
Epoch: [53][1160/14090]	Time 0.761 (0.754)	Data 0.001 (0.006)	Loss 2.1340 (2.1591)	Prec@1 44.531 (45.566)	Prec@5 79.688 (75.951)
Epoch: [53][1170/14090]	Time 0.739 (0.754)	Data 0.001 (0.006)	Loss 2.1910 (2.1594)	Prec@1 50.781 (45.562)	Prec@5 76.562 (75.945)
Epoch: [53][1180/14090]	Time 0.738 (0.754)	Data 0.001 (0.005)	Loss 2.1427 (2.1588)	Prec@1 44.531 (45.577)	Prec@5 74.219 (75.954)
Epoch: [53][1190/14090]	Time 0.725 (0.754)	Data 0.001 (0.005)	Loss 2.2472 (2.1590)	Prec@1 43.750 (45.560)	Prec@5 75.000 (75.951)
Epoch: [53][1200/14090]	Time 0.738 (0.754)	Data 0.001 (0.005)	Loss 2.0662 (2.1591)	Prec@1 43.750 (45.557)	Prec@5 72.656 (75.950)
Epoch: [53][1210/14090]	Time 0.742 (0.754)	Data 0.001 (0.005)	Loss 2.1157 (2.1589)	Prec@1 42.969 (45.548)	Prec@5 76.562 (75.958)
Epoch: [53][1220/14090]	Time 0.761 (0.754)	Data 0.001 (0.005)	Loss 1.9861 (2.1589)	Prec@1 50.781 (45.535)	Prec@5 74.219 (75.960)
Epoch: [53][1230/14090]	Time 0.750 (0.754)	Data 0.001 (0.005)	Loss 2.1099 (2.1584)	Prec@1 42.188 (45.547)	Prec@5 76.562 (75.966)
Epoch: [53][1240/14090]	Time 0.738 (0.754)	Data 0.001 (0.005)	Loss 2.0716 (2.1584)	Prec@1 45.312 (45.546)	Prec@5 75.000 (75.960)
Epoch: [53][1250/14090]	Time 0.755 (0.754)	Data 0.001 (0.005)	Loss 2.5916 (2.1584)	Prec@1 36.719 (45.552)	Prec@5 69.531 (75.962)
Epoch: [53][1260/14090]	Time 0.727 (0.754)	Data 0.001 (0.005)	Loss 2.2640 (2.1591)	Prec@1 40.625 (45.534)	Prec@5 75.000 (75.958)
Epoch: [53][1270/14090]	Time 0.753 (0.754)	Data 0.001 (0.005)	Loss 2.3144 (2.1587)	Prec@1 39.844 (45.549)	Prec@5 72.656 (75.962)
Epoch: [53][1280/14090]	Time 0.742 (0.754)	Data 0.001 (0.005)	Loss 1.8899 (2.1586)	Prec@1 50.000 (45.534)	Prec@5 79.688 (75.957)
Epoch: [53][1290/14090]	Time 0.753 (0.754)	Data 0.001 (0.005)	Loss 2.0071 (2.1581)	Prec@1 53.125 (45.547)	Prec@5 78.906 (75.956)
Epoch: [53][1300/14090]	Time 0.753 (0.754)	Data 0.001 (0.005)	Loss 2.3286 (2.1579)	Prec@1 46.094 (45.548)	Prec@5 74.219 (75.951)
Epoch: [53][1310/14090]	Time 0.736 (0.754)	Data 0.001 (0.005)	Loss 2.2920 (2.1584)	Prec@1 44.531 (45.527)	Prec@5 72.656 (75.946)
Epoch: [53][1320/14090]	Time 0.782 (0.754)	Data 0.001 (0.005)	Loss 2.0855 (2.1578)	Prec@1 44.531 (45.539)	Prec@5 77.344 (75.950)
Epoch: [53][1330/14090]	Time 0.724 (0.754)	Data 0.001 (0.005)	Loss 2.1335 (2.1581)	Prec@1 43.750 (45.536)	Prec@5 74.219 (75.944)
Epoch: [53][1340/14090]	Time 0.745 (0.754)	Data 0.001 (0.005)	Loss 2.0732 (2.1588)	Prec@1 44.531 (45.516)	Prec@5 78.125 (75.931)
Epoch: [53][1350/14090]	Time 0.755 (0.753)	Data 0.001 (0.005)	Loss 2.1622 (2.1591)	Prec@1 43.750 (45.502)	Prec@5 75.000 (75.914)
Epoch: [53][1360/14090]	Time 0.754 (0.753)	Data 0.001 (0.005)	Loss 2.5472 (2.1595)	Prec@1 38.281 (45.495)	Prec@5 71.094 (75.904)
Epoch: [53][1370/14090]	Time 0.731 (0.753)	Data 0.001 (0.005)	Loss 1.9610 (2.1592)	Prec@1 50.781 (45.502)	Prec@5 78.906 (75.907)
Epoch: [53][1380/14090]	Time 0.762 (0.753)	Data 0.001 (0.005)	Loss 2.3377 (2.1592)	Prec@1 43.750 (45.504)	Prec@5 72.656 (75.903)
Epoch: [53][1390/14090]	Time 0.730 (0.753)	Data 0.001 (0.005)	Loss 2.2935 (2.1596)	Prec@1 42.969 (45.506)	Prec@5 71.094 (75.890)
Epoch: [53][1400/14090]	Time 0.753 (0.753)	Data 0.001 (0.005)	Loss 1.8067 (2.1597)	Prec@1 55.469 (45.495)	Prec@5 77.344 (75.880)
Epoch: [53][1410/14090]	Time 0.737 (0.753)	Data 0.001 (0.005)	Loss 2.1128 (2.1593)	Prec@1 45.312 (45.501)	Prec@5 78.125 (75.891)
Epoch: [53][1420/14090]	Time 0.731 (0.753)	Data 0.001 (0.005)	Loss 2.1476 (2.1596)	Prec@1 42.969 (45.483)	Prec@5 73.438 (75.885)
Epoch: [53][1430/14090]	Time 0.732 (0.753)	Data 0.001 (0.005)	Loss 2.1621 (2.1602)	Prec@1 49.219 (45.460)	Prec@5 75.000 (75.881)
Epoch: [53][1440/14090]	Time 0.740 (0.753)	Data 0.001 (0.005)	Loss 1.9627 (2.1600)	Prec@1 46.875 (45.459)	Prec@5 77.344 (75.885)
Epoch: [53][1450/14090]	Time 0.751 (0.753)	Data 0.001 (0.005)	Loss 2.0433 (2.1600)	Prec@1 53.906 (45.465)	Prec@5 74.219 (75.878)
Epoch: [53][1460/14090]	Time 0.778 (0.753)	Data 0.001 (0.005)	Loss 2.2457 (2.1600)	Prec@1 46.094 (45.468)	Prec@5 75.781 (75.872)
Epoch: [53][1470/14090]	Time 0.730 (0.753)	Data 0.001 (0.005)	Loss 2.1614 (2.1601)	Prec@1 50.000 (45.470)	Prec@5 78.125 (75.870)
Epoch: [53][1480/14090]	Time 0.763 (0.753)	Data 0.001 (0.005)	Loss 2.3018 (2.1601)	Prec@1 42.188 (45.465)	Prec@5 71.094 (75.861)
Epoch: [53][1490/14090]	Time 0.731 (0.753)	Data 0.001 (0.004)	Loss 2.1455 (2.1611)	Prec@1 41.406 (45.455)	Prec@5 77.344 (75.837)
Epoch: [53][1500/14090]	Time 0.754 (0.753)	Data 0.001 (0.004)	Loss 2.1786 (2.1610)	Prec@1 43.750 (45.468)	Prec@5 76.562 (75.835)
Epoch: [53][1510/14090]	Time 0.734 (0.753)	Data 0.002 (0.004)	Loss 1.9127 (2.1613)	Prec@1 50.781 (45.471)	Prec@5 82.812 (75.837)
Epoch: [53][1520/14090]	Time 0.730 (0.753)	Data 0.001 (0.004)	Loss 2.2010 (2.1611)	Prec@1 44.531 (45.476)	Prec@5 76.562 (75.844)
Epoch: [53][1530/14090]	Time 0.762 (0.753)	Data 0.001 (0.004)	Loss 2.4687 (2.1615)	Prec@1 39.844 (45.464)	Prec@5 73.438 (75.841)
Epoch: [53][1540/14090]	Time 0.727 (0.753)	Data 0.001 (0.004)	Loss 2.1498 (2.1611)	Prec@1 40.625 (45.467)	Prec@5 72.656 (75.846)
Epoch: [53][1550/14090]	Time 0.750 (0.753)	Data 0.001 (0.004)	Loss 2.3081 (2.1618)	Prec@1 41.406 (45.455)	Prec@5 74.219 (75.831)
Epoch: [53][1560/14090]	Time 0.759 (0.753)	Data 0.001 (0.004)	Loss 2.0345 (2.1617)	Prec@1 50.000 (45.451)	Prec@5 75.000 (75.828)
Epoch: [53][1570/14090]	Time 0.738 (0.753)	Data 0.001 (0.004)	Loss 2.1739 (2.1618)	Prec@1 44.531 (45.448)	Prec@5 75.781 (75.828)
Epoch: [53][1580/14090]	Time 0.753 (0.753)	Data 0.001 (0.004)	Loss 2.3486 (2.1620)	Prec@1 42.969 (45.443)	Prec@5 73.438 (75.823)
Epoch: [53][1590/14090]	Time 0.733 (0.753)	Data 0.001 (0.004)	Loss 2.0959 (2.1618)	Prec@1 43.750 (45.449)	Prec@5 74.219 (75.826)
Epoch: [53][1600/14090]	Time 0.747 (0.753)	Data 0.001 (0.004)	Loss 2.2096 (2.1617)	Prec@1 36.719 (45.451)	Prec@5 77.344 (75.836)
Epoch: [53][1610/14090]	Time 0.741 (0.753)	Data 0.001 (0.004)	Loss 2.2781 (2.1620)	Prec@1 47.656 (45.456)	Prec@5 75.000 (75.837)
Epoch: [53][1620/14090]	Time 0.772 (0.753)	Data 0.001 (0.004)	Loss 2.2080 (2.1622)	Prec@1 46.094 (45.459)	Prec@5 70.312 (75.835)
Epoch: [53][1630/14090]	Time 0.759 (0.753)	Data 0.001 (0.004)	Loss 2.1582 (2.1623)	Prec@1 46.875 (45.454)	Prec@5 75.781 (75.831)
Epoch: [53][1640/14090]	Time 0.726 (0.753)	Data 0.001 (0.004)	Loss 1.9579 (2.1617)	Prec@1 57.031 (45.462)	Prec@5 79.688 (75.839)
Epoch: [53][1650/14090]	Time 0.757 (0.753)	Data 0.001 (0.004)	Loss 2.3016 (2.1621)	Prec@1 42.969 (45.458)	Prec@5 72.656 (75.832)
Epoch: [53][1660/14090]	Time 0.754 (0.753)	Data 0.001 (0.004)	Loss 2.4199 (2.1627)	Prec@1 41.406 (45.450)	Prec@5 67.969 (75.819)
Epoch: [53][1670/14090]	Time 0.724 (0.753)	Data 0.001 (0.004)	Loss 2.1498 (2.1630)	Prec@1 46.875 (45.439)	Prec@5 75.781 (75.812)
Epoch: [53][1680/14090]	Time 0.757 (0.753)	Data 0.001 (0.004)	Loss 2.3581 (2.1625)	Prec@1 37.500 (45.438)	Prec@5 68.750 (75.817)
Epoch: [53][1690/14090]	Time 0.763 (0.753)	Data 0.001 (0.004)	Loss 2.0577 (2.1626)	Prec@1 44.531 (45.429)	Prec@5 75.781 (75.817)
Epoch: [53][1700/14090]	Time 0.764 (0.753)	Data 0.001 (0.004)	Loss 2.1908 (2.1632)	Prec@1 47.656 (45.417)	Prec@5 74.219 (75.809)
Epoch: [53][1710/14090]	Time 0.725 (0.753)	Data 0.001 (0.004)	Loss 2.0238 (2.1634)	Prec@1 50.000 (45.424)	Prec@5 75.781 (75.811)
Epoch: [53][1720/14090]	Time 0.723 (0.753)	Data 0.001 (0.004)	Loss 1.7502 (2.1638)	Prec@1 55.469 (45.419)	Prec@5 85.156 (75.803)
Epoch: [53][1730/14090]	Time 0.730 (0.753)	Data 0.001 (0.004)	Loss 2.1542 (2.1634)	Prec@1 45.312 (45.433)	Prec@5 76.562 (75.806)
Epoch: [53][1740/14090]	Time 0.723 (0.752)	Data 0.001 (0.004)	Loss 2.0338 (2.1629)	Prec@1 53.906 (45.454)	Prec@5 77.344 (75.811)
Epoch: [53][1750/14090]	Time 0.724 (0.752)	Data 0.001 (0.004)	Loss 2.3483 (2.1627)	Prec@1 47.656 (45.466)	Prec@5 71.875 (75.812)
Epoch: [53][1760/14090]	Time 0.744 (0.752)	Data 0.001 (0.004)	Loss 2.2406 (2.1625)	Prec@1 42.969 (45.471)	Prec@5 72.656 (75.816)
Epoch: [53][1770/14090]	Time 0.754 (0.752)	Data 0.001 (0.004)	Loss 2.2117 (2.1625)	Prec@1 42.969 (45.467)	Prec@5 72.656 (75.821)
Epoch: [53][1780/14090]	Time 0.759 (0.752)	Data 0.001 (0.004)	Loss 2.1724 (2.1618)	Prec@1 45.312 (45.483)	Prec@5 76.562 (75.834)
Epoch: [53][1790/14090]	Time 0.734 (0.752)	Data 0.001 (0.004)	Loss 2.1611 (2.1615)	Prec@1 45.312 (45.484)	Prec@5 75.781 (75.845)
Epoch: [53][1800/14090]	Time 0.762 (0.752)	Data 0.001 (0.004)	Loss 1.8946 (2.1616)	Prec@1 44.531 (45.483)	Prec@5 85.156 (75.846)
Epoch: [53][1810/14090]	Time 0.770 (0.752)	Data 0.001 (0.004)	Loss 2.0647 (2.1612)	Prec@1 46.094 (45.482)	Prec@5 79.688 (75.854)
Epoch: [53][1820/14090]	Time 0.737 (0.752)	Data 0.001 (0.004)	Loss 2.2633 (2.1614)	Prec@1 41.406 (45.470)	Prec@5 72.656 (75.850)
Epoch: [53][1830/14090]	Time 0.782 (0.752)	Data 0.001 (0.004)	Loss 2.0402 (2.1607)	Prec@1 43.750 (45.483)	Prec@5 82.812 (75.864)
Epoch: [53][1840/14090]	Time 0.730 (0.752)	Data 0.001 (0.004)	Loss 1.8877 (2.1605)	Prec@1 48.438 (45.483)	Prec@5 82.812 (75.872)
Epoch: [53][1850/14090]	Time 0.758 (0.752)	Data 0.001 (0.004)	Loss 2.4229 (2.1611)	Prec@1 40.625 (45.466)	Prec@5 75.000 (75.864)
Epoch: [53][1860/14090]	Time 0.731 (0.752)	Data 0.001 (0.004)	Loss 2.3751 (2.1610)	Prec@1 43.750 (45.461)	Prec@5 70.312 (75.865)
Epoch: [53][1870/14090]	Time 0.734 (0.752)	Data 0.001 (0.004)	Loss 2.3698 (2.1615)	Prec@1 42.969 (45.457)	Prec@5 73.438 (75.859)
Epoch: [53][1880/14090]	Time 0.760 (0.752)	Data 0.001 (0.004)	Loss 2.3527 (2.1614)	Prec@1 38.281 (45.458)	Prec@5 73.438 (75.862)
Epoch: [53][1890/14090]	Time 0.732 (0.752)	Data 0.001 (0.004)	Loss 2.0992 (2.1615)	Prec@1 46.875 (45.456)	Prec@5 76.562 (75.855)
Epoch: [53][1900/14090]	Time 0.757 (0.752)	Data 0.001 (0.004)	Loss 2.3530 (2.1616)	Prec@1 37.500 (45.458)	Prec@5 77.344 (75.853)
Epoch: [53][1910/14090]	Time 0.730 (0.752)	Data 0.001 (0.004)	Loss 2.1784 (2.1616)	Prec@1 48.438 (45.461)	Prec@5 78.906 (75.859)
Epoch: [53][1920/14090]	Time 0.779 (0.752)	Data 0.001 (0.004)	Loss 2.5674 (2.1620)	Prec@1 43.750 (45.448)	Prec@5 69.531 (75.847)
Epoch: [53][1930/14090]	Time 0.737 (0.752)	Data 0.001 (0.004)	Loss 2.1580 (2.1623)	Prec@1 44.531 (45.439)	Prec@5 78.906 (75.843)
Epoch: [53][1940/14090]	Time 0.775 (0.752)	Data 0.001 (0.004)	Loss 2.1774 (2.1621)	Prec@1 47.656 (45.441)	Prec@5 77.344 (75.848)
Epoch: [53][1950/14090]	Time 0.754 (0.752)	Data 0.001 (0.004)	Loss 1.9640 (2.1622)	Prec@1 45.312 (45.430)	Prec@5 78.906 (75.843)
Epoch: [53][1960/14090]	Time 0.726 (0.752)	Data 0.001 (0.004)	Loss 2.2763 (2.1624)	Prec@1 46.875 (45.431)	Prec@5 75.781 (75.841)
Epoch: [53][1970/14090]	Time 0.759 (0.752)	Data 0.001 (0.004)	Loss 2.1842 (2.1622)	Prec@1 46.094 (45.435)	Prec@5 73.438 (75.848)
Epoch: [53][1980/14090]	Time 0.756 (0.752)	Data 0.001 (0.004)	Loss 2.3425 (2.1622)	Prec@1 42.969 (45.442)	Prec@5 69.531 (75.843)
Epoch: [53][1990/14090]	Time 0.756 (0.752)	Data 0.001 (0.004)	Loss 2.5051 (2.1624)	Prec@1 41.406 (45.446)	Prec@5 71.875 (75.838)
Epoch: [53][2000/14090]	Time 0.729 (0.752)	Data 0.001 (0.004)	Loss 2.0994 (2.1625)	Prec@1 50.000 (45.436)	Prec@5 75.000 (75.833)
Epoch: [53][2010/14090]	Time 0.760 (0.752)	Data 0.001 (0.004)	Loss 2.1590 (2.1625)	Prec@1 43.750 (45.439)	Prec@5 76.562 (75.833)
Epoch: [53][2020/14090]	Time 0.729 (0.752)	Data 0.001 (0.004)	Loss 2.4665 (2.1630)	Prec@1 42.188 (45.433)	Prec@5 68.750 (75.818)
Epoch: [53][2030/14090]	Time 0.750 (0.752)	Data 0.001 (0.004)	Loss 1.9407 (2.1624)	Prec@1 45.312 (45.436)	Prec@5 78.125 (75.834)
Epoch: [53][2040/14090]	Time 0.760 (0.752)	Data 0.001 (0.004)	Loss 2.1280 (2.1622)	Prec@1 47.656 (45.443)	Prec@5 72.656 (75.832)
Epoch: [53][2050/14090]	Time 0.750 (0.752)	Data 0.001 (0.004)	Loss 2.1050 (2.1625)	Prec@1 47.656 (45.432)	Prec@5 79.688 (75.834)
Epoch: [53][2060/14090]	Time 0.773 (0.752)	Data 0.001 (0.003)	Loss 1.9605 (2.1623)	Prec@1 53.906 (45.435)	Prec@5 78.906 (75.834)
Epoch: [53][2070/14090]	Time 0.730 (0.752)	Data 0.001 (0.003)	Loss 2.2057 (2.1621)	Prec@1 42.188 (45.440)	Prec@5 75.781 (75.840)
Epoch: [53][2080/14090]	Time 0.734 (0.752)	Data 0.001 (0.003)	Loss 2.1879 (2.1621)	Prec@1 42.969 (45.434)	Prec@5 77.344 (75.844)
Epoch: [53][2090/14090]	Time 0.723 (0.752)	Data 0.001 (0.003)	Loss 2.4461 (2.1625)	Prec@1 39.062 (45.419)	Prec@5 71.094 (75.835)
Epoch: [53][2100/14090]	Time 0.780 (0.752)	Data 0.001 (0.003)	Loss 2.0744 (2.1625)	Prec@1 46.875 (45.420)	Prec@5 78.906 (75.836)
Epoch: [53][2110/14090]	Time 0.733 (0.752)	Data 0.001 (0.003)	Loss 2.1624 (2.1623)	Prec@1 39.844 (45.428)	Prec@5 72.656 (75.837)
Epoch: [53][2120/14090]	Time 0.737 (0.752)	Data 0.001 (0.003)	Loss 2.2879 (2.1627)	Prec@1 43.750 (45.420)	Prec@5 72.656 (75.832)
Epoch: [53][2130/14090]	Time 0.753 (0.752)	Data 0.001 (0.003)	Loss 2.1632 (2.1628)	Prec@1 46.094 (45.418)	Prec@5 77.344 (75.829)
Epoch: [53][2140/14090]	Time 0.730 (0.752)	Data 0.001 (0.003)	Loss 2.1410 (2.1627)	Prec@1 45.312 (45.420)	Prec@5 75.000 (75.829)
Epoch: [53][2150/14090]	Time 0.758 (0.752)	Data 0.001 (0.003)	Loss 2.2802 (2.1624)	Prec@1 47.656 (45.434)	Prec@5 71.094 (75.838)
Epoch: [53][2160/14090]	Time 0.756 (0.752)	Data 0.001 (0.003)	Loss 2.0323 (2.1621)	Prec@1 50.000 (45.446)	Prec@5 79.688 (75.844)
Epoch: [53][2170/14090]	Time 0.754 (0.752)	Data 0.001 (0.003)	Loss 2.2449 (2.1624)	Prec@1 45.312 (45.431)	Prec@5 76.562 (75.841)
Epoch: [53][2180/14090]	Time 0.768 (0.752)	Data 0.001 (0.003)	Loss 2.0750 (2.1623)	Prec@1 47.656 (45.432)	Prec@5 74.219 (75.841)
Epoch: [53][2190/14090]	Time 0.749 (0.752)	Data 0.001 (0.003)	Loss 2.1862 (2.1621)	Prec@1 49.219 (45.441)	Prec@5 75.000 (75.847)
Epoch: [53][2200/14090]	Time 0.747 (0.752)	Data 0.001 (0.003)	Loss 2.0650 (2.1620)	Prec@1 46.875 (45.444)	Prec@5 76.562 (75.842)
Epoch: [53][2210/14090]	Time 0.759 (0.752)	Data 0.001 (0.003)	Loss 1.9425 (2.1618)	Prec@1 51.562 (45.456)	Prec@5 77.344 (75.844)
Epoch: [53][2220/14090]	Time 0.761 (0.752)	Data 0.001 (0.003)	Loss 2.1537 (2.1617)	Prec@1 46.094 (45.455)	Prec@5 77.344 (75.854)
Epoch: [53][2230/14090]	Time 0.726 (0.752)	Data 0.001 (0.003)	Loss 1.9545 (2.1618)	Prec@1 46.875 (45.452)	Prec@5 83.594 (75.852)
Epoch: [53][2240/14090]	Time 0.732 (0.752)	Data 0.001 (0.003)	Loss 2.3532 (2.1618)	Prec@1 39.062 (45.447)	Prec@5 71.094 (75.853)
Epoch: [53][2250/14090]	Time 0.747 (0.752)	Data 0.001 (0.003)	Loss 2.1846 (2.1621)	Prec@1 47.656 (45.444)	Prec@5 72.656 (75.852)
Epoch: [53][2260/14090]	Time 0.751 (0.752)	Data 0.001 (0.003)	Loss 2.0915 (2.1621)	Prec@1 45.312 (45.444)	Prec@5 74.219 (75.857)
Epoch: [53][2270/14090]	Time 0.771 (0.752)	Data 0.001 (0.003)	Loss 2.2290 (2.1620)	Prec@1 41.406 (45.448)	Prec@5 76.562 (75.857)
Epoch: [53][2280/14090]	Time 0.756 (0.752)	Data 0.001 (0.003)	Loss 2.0457 (2.1620)	Prec@1 46.875 (45.450)	Prec@5 75.781 (75.855)
Epoch: [53][2290/14090]	Time 0.764 (0.752)	Data 0.001 (0.003)	Loss 2.4003 (2.1620)	Prec@1 42.188 (45.450)	Prec@5 69.531 (75.856)
Epoch: [53][2300/14090]	Time 0.751 (0.752)	Data 0.001 (0.003)	Loss 2.4528 (2.1618)	Prec@1 42.188 (45.452)	Prec@5 74.219 (75.858)
Epoch: [53][2310/14090]	Time 0.748 (0.752)	Data 0.001 (0.003)	Loss 2.2712 (2.1622)	Prec@1 45.312 (45.458)	Prec@5 72.656 (75.846)
Epoch: [53][2320/14090]	Time 0.761 (0.752)	Data 0.001 (0.003)	Loss 2.0214 (2.1622)	Prec@1 44.531 (45.456)	Prec@5 77.344 (75.847)
Epoch: [53][2330/14090]	Time 0.765 (0.752)	Data 0.001 (0.003)	Loss 2.1973 (2.1623)	Prec@1 50.000 (45.448)	Prec@5 74.219 (75.849)
Epoch: [53][2340/14090]	Time 0.723 (0.752)	Data 0.001 (0.003)	Loss 2.2552 (2.1622)	Prec@1 42.969 (45.454)	Prec@5 76.562 (75.851)
Epoch: [53][2350/14090]	Time 0.758 (0.752)	Data 0.001 (0.003)	Loss 2.1264 (2.1624)	Prec@1 41.406 (45.451)	Prec@5 81.250 (75.852)
Epoch: [53][2360/14090]	Time 0.784 (0.752)	Data 0.001 (0.003)	Loss 2.2540 (2.1623)	Prec@1 42.969 (45.456)	Prec@5 75.781 (75.850)
Epoch: [53][2370/14090]	Time 0.736 (0.752)	Data 0.001 (0.003)	Loss 2.5026 (2.1623)	Prec@1 42.969 (45.453)	Prec@5 69.531 (75.850)
Epoch: [53][2380/14090]	Time 0.729 (0.752)	Data 0.001 (0.003)	Loss 2.0297 (2.1624)	Prec@1 47.656 (45.453)	Prec@5 78.125 (75.846)
Epoch: [53][2390/14090]	Time 0.777 (0.752)	Data 0.001 (0.003)	Loss 2.1105 (2.1626)	Prec@1 48.438 (45.446)	Prec@5 76.562 (75.844)
Epoch: [53][2400/14090]	Time 0.745 (0.752)	Data 0.001 (0.003)	Loss 2.3730 (2.1626)	Prec@1 35.156 (45.444)	Prec@5 72.656 (75.841)
Epoch: [53][2410/14090]	Time 0.735 (0.752)	Data 0.001 (0.003)	Loss 2.4031 (2.1628)	Prec@1 44.531 (45.442)	Prec@5 71.875 (75.835)
Epoch: [53][2420/14090]	Time 0.749 (0.752)	Data 0.004 (0.003)	Loss 2.1939 (2.1628)	Prec@1 47.656 (45.444)	Prec@5 75.781 (75.831)
Epoch: [53][2430/14090]	Time 0.754 (0.752)	Data 0.001 (0.003)	Loss 2.5165 (2.1630)	Prec@1 33.594 (45.437)	Prec@5 66.406 (75.827)
Epoch: [53][2440/14090]	Time 0.738 (0.752)	Data 0.001 (0.003)	Loss 2.2681 (2.1632)	Prec@1 41.406 (45.428)	Prec@5 73.438 (75.823)
Epoch: [53][2450/14090]	Time 0.760 (0.752)	Data 0.001 (0.003)	Loss 2.1528 (2.1630)	Prec@1 46.094 (45.434)	Prec@5 78.125 (75.829)
Epoch: [53][2460/14090]	Time 0.776 (0.752)	Data 0.001 (0.003)	Loss 1.9788 (2.1629)	Prec@1 53.906 (45.437)	Prec@5 76.562 (75.826)
Epoch: [53][2470/14090]	Time 0.752 (0.752)	Data 0.001 (0.003)	Loss 2.1016 (2.1630)	Prec@1 49.219 (45.434)	Prec@5 74.219 (75.823)
Epoch: [53][2480/14090]	Time 0.753 (0.752)	Data 0.001 (0.003)	Loss 1.9953 (2.1628)	Prec@1 52.344 (45.440)	Prec@5 76.562 (75.831)
Epoch: [53][2490/14090]	Time 0.740 (0.752)	Data 0.001 (0.003)	Loss 2.2679 (2.1627)	Prec@1 50.000 (45.441)	Prec@5 71.094 (75.834)
Epoch: [53][2500/14090]	Time 0.844 (0.752)	Data 0.001 (0.003)	Loss 2.0007 (2.1629)	Prec@1 45.312 (45.436)	Prec@5 78.906 (75.832)
Epoch: [53][2510/14090]	Time 0.736 (0.752)	Data 0.001 (0.003)	Loss 2.0605 (2.1630)	Prec@1 49.219 (45.432)	Prec@5 76.562 (75.834)
Epoch: [53][2520/14090]	Time 0.744 (0.752)	Data 0.001 (0.003)	Loss 2.0561 (2.1632)	Prec@1 48.438 (45.435)	Prec@5 76.562 (75.827)
Epoch: [53][2530/14090]	Time 0.756 (0.752)	Data 0.001 (0.003)	Loss 2.0305 (2.1630)	Prec@1 47.656 (45.442)	Prec@5 78.906 (75.830)
Epoch: [53][2540/14090]	Time 0.737 (0.752)	Data 0.001 (0.003)	Loss 2.0380 (2.1631)	Prec@1 47.656 (45.446)	Prec@5 81.250 (75.826)
Epoch: [53][2550/14090]	Time 0.755 (0.752)	Data 0.001 (0.003)	Loss 1.9196 (2.1632)	Prec@1 53.906 (45.443)	Prec@5 78.906 (75.830)
Epoch: [53][2560/14090]	Time 0.745 (0.752)	Data 0.001 (0.003)	Loss 2.0497 (2.1633)	Prec@1 48.438 (45.441)	Prec@5 78.906 (75.822)
Epoch: [53][2570/14090]	Time 0.746 (0.752)	Data 0.001 (0.003)	Loss 2.0817 (2.1632)	Prec@1 47.656 (45.441)	Prec@5 78.125 (75.827)
Epoch: [53][2580/14090]	Time 0.732 (0.752)	Data 0.001 (0.003)	Loss 2.2987 (2.1635)	Prec@1 36.719 (45.436)	Prec@5 77.344 (75.822)
Epoch: [53][2590/14090]	Time 0.749 (0.752)	Data 0.001 (0.003)	Loss 2.2310 (2.1635)	Prec@1 41.406 (45.433)	Prec@5 72.656 (75.818)
Epoch: [53][2600/14090]	Time 0.768 (0.752)	Data 0.001 (0.003)	Loss 2.1908 (2.1635)	Prec@1 41.406 (45.428)	Prec@5 74.219 (75.818)
Epoch: [53][2610/14090]	Time 0.744 (0.752)	Data 0.001 (0.003)	Loss 2.0460 (2.1633)	Prec@1 44.531 (45.426)	Prec@5 76.562 (75.818)
Epoch: [53][2620/14090]	Time 0.783 (0.752)	Data 0.001 (0.003)	Loss 2.3544 (2.1632)	Prec@1 40.625 (45.422)	Prec@5 73.438 (75.820)
Epoch: [53][2630/14090]	Time 0.753 (0.752)	Data 0.001 (0.003)	Loss 2.1229 (2.1632)	Prec@1 43.750 (45.420)	Prec@5 78.125 (75.826)
Epoch: [53][2640/14090]	Time 0.728 (0.752)	Data 0.001 (0.003)	Loss 2.4322 (2.1633)	Prec@1 43.750 (45.410)	Prec@5 74.219 (75.831)
Epoch: [53][2650/14090]	Time 0.751 (0.752)	Data 0.001 (0.003)	Loss 1.9573 (2.1633)	Prec@1 50.781 (45.405)	Prec@5 79.688 (75.830)
Epoch: [53][2660/14090]	Time 0.755 (0.752)	Data 0.001 (0.003)	Loss 2.0331 (2.1635)	Prec@1 46.875 (45.403)	Prec@5 79.688 (75.822)
Epoch: [53][2670/14090]	Time 0.756 (0.752)	Data 0.001 (0.003)	Loss 2.4590 (2.1633)	Prec@1 37.500 (45.406)	Prec@5 71.094 (75.828)
Epoch: [53][2680/14090]	Time 0.730 (0.752)	Data 0.001 (0.003)	Loss 2.2497 (2.1635)	Prec@1 46.094 (45.402)	Prec@5 75.781 (75.827)
Epoch: [53][2690/14090]	Time 0.774 (0.752)	Data 0.001 (0.003)	Loss 2.1052 (2.1636)	Prec@1 45.312 (45.390)	Prec@5 76.562 (75.823)
Epoch: [53][2700/14090]	Time 0.759 (0.752)	Data 0.001 (0.003)	Loss 2.3158 (2.1636)	Prec@1 41.406 (45.389)	Prec@5 71.094 (75.824)
Epoch: [53][2710/14090]	Time 0.735 (0.752)	Data 0.001 (0.003)	Loss 2.0807 (2.1635)	Prec@1 54.688 (45.399)	Prec@5 79.688 (75.827)
Epoch: [53][2720/14090]	Time 0.755 (0.752)	Data 0.001 (0.003)	Loss 2.3542 (2.1634)	Prec@1 45.312 (45.402)	Prec@5 71.875 (75.828)
Epoch: [53][2730/14090]	Time 0.786 (0.752)	Data 0.001 (0.003)	Loss 2.0657 (2.1634)	Prec@1 46.875 (45.404)	Prec@5 78.125 (75.831)
Epoch: [53][2740/14090]	Time 0.757 (0.752)	Data 0.001 (0.003)	Loss 2.1288 (2.1635)	Prec@1 44.531 (45.402)	Prec@5 75.781 (75.832)
Epoch: [53][2750/14090]	Time 0.766 (0.752)	Data 0.001 (0.003)	Loss 2.0714 (2.1636)	Prec@1 46.094 (45.400)	Prec@5 79.688 (75.833)
Epoch: [53][2760/14090]	Time 0.738 (0.752)	Data 0.001 (0.003)	Loss 2.2190 (2.1638)	Prec@1 44.531 (45.397)	Prec@5 73.438 (75.829)
Epoch: [53][2770/14090]	Time 0.737 (0.752)	Data 0.001 (0.003)	Loss 2.3515 (2.1638)	Prec@1 46.875 (45.405)	Prec@5 71.875 (75.829)
Epoch: [53][2780/14090]	Time 0.769 (0.752)	Data 0.001 (0.003)	Loss 2.4538 (2.1640)	Prec@1 42.969 (45.405)	Prec@5 68.750 (75.824)
Epoch: [53][2790/14090]	Time 0.755 (0.752)	Data 0.001 (0.003)	Loss 2.0886 (2.1638)	Prec@1 46.094 (45.409)	Prec@5 81.250 (75.831)
Epoch: [53][2800/14090]	Time 0.744 (0.752)	Data 0.001 (0.003)	Loss 2.4460 (2.1640)	Prec@1 42.188 (45.400)	Prec@5 71.875 (75.828)
Epoch: [53][2810/14090]	Time 0.733 (0.752)	Data 0.001 (0.003)	Loss 2.2005 (2.1639)	Prec@1 49.219 (45.403)	Prec@5 71.094 (75.827)
Epoch: [53][2820/14090]	Time 0.803 (0.752)	Data 0.001 (0.003)	Loss 2.1144 (2.1640)	Prec@1 45.312 (45.393)	Prec@5 77.344 (75.831)
Epoch: [53][2830/14090]	Time 0.735 (0.752)	Data 0.001 (0.003)	Loss 2.1231 (2.1637)	Prec@1 49.219 (45.400)	Prec@5 78.906 (75.838)
Epoch: [53][2840/14090]	Time 0.773 (0.752)	Data 0.001 (0.003)	Loss 1.9363 (2.1637)	Prec@1 48.438 (45.398)	Prec@5 80.469 (75.839)
Epoch: [53][2850/14090]	Time 0.733 (0.752)	Data 0.001 (0.003)	Loss 2.4030 (2.1636)	Prec@1 42.188 (45.401)	Prec@5 73.438 (75.841)
Epoch: [53][2860/14090]	Time 0.759 (0.752)	Data 0.001 (0.003)	Loss 2.2472 (2.1639)	Prec@1 43.750 (45.396)	Prec@5 75.781 (75.834)
Epoch: [53][2870/14090]	Time 0.760 (0.752)	Data 0.002 (0.003)	Loss 2.1014 (2.1637)	Prec@1 49.219 (45.402)	Prec@5 75.781 (75.835)
Epoch: [53][2880/14090]	Time 0.776 (0.752)	Data 0.001 (0.003)	Loss 2.2151 (2.1640)	Prec@1 46.094 (45.396)	Prec@5 70.312 (75.833)
Epoch: [53][2890/14090]	Time 0.735 (0.752)	Data 0.001 (0.003)	Loss 2.1120 (2.1640)	Prec@1 42.188 (45.389)	Prec@5 76.562 (75.837)
Epoch: [53][2900/14090]	Time 0.736 (0.752)	Data 0.001 (0.003)	Loss 2.3143 (2.1637)	Prec@1 44.531 (45.396)	Prec@5 74.219 (75.849)
Epoch: [53][2910/14090]	Time 0.740 (0.752)	Data 0.001 (0.003)	Loss 2.5306 (2.1638)	Prec@1 39.062 (45.393)	Prec@5 70.312 (75.851)
Epoch: [53][2920/14090]	Time 0.736 (0.752)	Data 0.001 (0.003)	Loss 2.1873 (2.1638)	Prec@1 35.938 (45.390)	Prec@5 75.781 (75.849)
Epoch: [53][2930/14090]	Time 0.754 (0.752)	Data 0.001 (0.003)	Loss 2.4190 (2.1641)	Prec@1 34.375 (45.380)	Prec@5 71.875 (75.844)
Epoch: [53][2940/14090]	Time 0.753 (0.752)	Data 0.001 (0.003)	Loss 2.0878 (2.1643)	Prec@1 45.312 (45.376)	Prec@5 78.125 (75.838)
Epoch: [53][2950/14090]	Time 0.738 (0.752)	Data 0.001 (0.003)	Loss 2.0968 (2.1644)	Prec@1 42.969 (45.372)	Prec@5 78.906 (75.834)
Epoch: [53][2960/14090]	Time 0.758 (0.752)	Data 0.001 (0.003)	Loss 2.2547 (2.1646)	Prec@1 44.531 (45.367)	Prec@5 72.656 (75.833)
Epoch: [53][2970/14090]	Time 0.783 (0.752)	Data 0.001 (0.003)	Loss 1.8473 (2.1644)	Prec@1 53.906 (45.377)	Prec@5 77.344 (75.828)
Epoch: [53][2980/14090]	Time 0.754 (0.752)	Data 0.001 (0.003)	Loss 2.3431 (2.1647)	Prec@1 46.875 (45.374)	Prec@5 72.656 (75.822)
Epoch: [53][2990/14090]	Time 0.721 (0.752)	Data 0.001 (0.003)	Loss 2.0655 (2.1646)	Prec@1 44.531 (45.374)	Prec@5 79.688 (75.826)
Epoch: [53][3000/14090]	Time 0.746 (0.752)	Data 0.001 (0.003)	Loss 2.1092 (2.1644)	Prec@1 48.438 (45.378)	Prec@5 74.219 (75.828)
Epoch: [53][3010/14090]	Time 0.764 (0.752)	Data 0.002 (0.003)	Loss 2.3748 (2.1642)	Prec@1 44.531 (45.387)	Prec@5 75.000 (75.832)
Epoch: [53][3020/14090]	Time 0.741 (0.752)	Data 0.001 (0.003)	Loss 2.0653 (2.1643)	Prec@1 51.562 (45.385)	Prec@5 75.000 (75.829)
Epoch: [53][3030/14090]	Time 0.780 (0.752)	Data 0.001 (0.003)	Loss 2.5123 (2.1645)	Prec@1 40.625 (45.383)	Prec@5 71.875 (75.828)
Epoch: [53][3040/14090]	Time 0.731 (0.752)	Data 0.001 (0.003)	Loss 2.2825 (2.1645)	Prec@1 45.312 (45.379)	Prec@5 74.219 (75.824)
Epoch: [53][3050/14090]	Time 0.748 (0.752)	Data 0.001 (0.003)	Loss 2.4672 (2.1643)	Prec@1 44.531 (45.382)	Prec@5 71.094 (75.821)
Epoch: [53][3060/14090]	Time 0.724 (0.752)	Data 0.001 (0.003)	Loss 1.9648 (2.1643)	Prec@1 47.656 (45.377)	Prec@5 78.125 (75.822)
Epoch: [53][3070/14090]	Time 0.777 (0.752)	Data 0.001 (0.003)	Loss 2.0757 (2.1643)	Prec@1 46.094 (45.372)	Prec@5 78.906 (75.823)
Epoch: [53][3080/14090]	Time 0.731 (0.752)	Data 0.001 (0.003)	Loss 2.2582 (2.1643)	Prec@1 39.844 (45.369)	Prec@5 75.000 (75.827)
Epoch: [53][3090/14090]	Time 0.774 (0.752)	Data 0.001 (0.003)	Loss 1.7193 (2.1640)	Prec@1 56.250 (45.373)	Prec@5 87.500 (75.836)
Epoch: [53][3100/14090]	Time 0.724 (0.752)	Data 0.001 (0.003)	Loss 2.1047 (2.1640)	Prec@1 45.312 (45.374)	Prec@5 75.000 (75.838)
Epoch: [53][3110/14090]	Time 0.761 (0.752)	Data 0.001 (0.003)	Loss 2.2754 (2.1638)	Prec@1 41.406 (45.375)	Prec@5 74.219 (75.839)
Epoch: [53][3120/14090]	Time 0.742 (0.752)	Data 0.001 (0.003)	Loss 1.8746 (2.1638)	Prec@1 50.781 (45.371)	Prec@5 80.469 (75.838)
Epoch: [53][3130/14090]	Time 0.891 (0.752)	Data 0.001 (0.003)	Loss 2.2491 (2.1638)	Prec@1 42.188 (45.374)	Prec@5 75.000 (75.838)
Epoch: [53][3140/14090]	Time 0.740 (0.752)	Data 0.001 (0.003)	Loss 2.1179 (2.1636)	Prec@1 45.312 (45.371)	Prec@5 78.906 (75.842)
Epoch: [53][3150/14090]	Time 0.725 (0.752)	Data 0.001 (0.003)	Loss 2.0303 (2.1637)	Prec@1 53.906 (45.373)	Prec@5 74.219 (75.842)
Epoch: [53][3160/14090]	Time 0.737 (0.752)	Data 0.001 (0.003)	Loss 2.2611 (2.1641)	Prec@1 39.062 (45.362)	Prec@5 72.656 (75.834)
Epoch: [53][3170/14090]	Time 0.748 (0.752)	Data 0.001 (0.003)	Loss 2.5343 (2.1641)	Prec@1 39.062 (45.364)	Prec@5 67.188 (75.835)
Epoch: [53][3180/14090]	Time 0.731 (0.752)	Data 0.001 (0.003)	Loss 2.0605 (2.1641)	Prec@1 40.625 (45.360)	Prec@5 82.812 (75.837)
Epoch: [53][3190/14090]	Time 0.770 (0.752)	Data 0.001 (0.003)	Loss 2.0168 (2.1640)	Prec@1 47.656 (45.365)	Prec@5 78.906 (75.840)
Epoch: [53][3200/14090]	Time 0.729 (0.752)	Data 0.001 (0.003)	Loss 1.8531 (2.1637)	Prec@1 53.125 (45.365)	Prec@5 82.031 (75.845)
Epoch: [53][3210/14090]	Time 0.776 (0.752)	Data 0.003 (0.003)	Loss 2.2717 (2.1638)	Prec@1 39.844 (45.361)	Prec@5 75.000 (75.849)
Epoch: [53][3220/14090]	Time 0.737 (0.752)	Data 0.001 (0.003)	Loss 1.9519 (2.1638)	Prec@1 50.000 (45.363)	Prec@5 79.688 (75.850)
Epoch: [53][3230/14090]	Time 0.725 (0.752)	Data 0.001 (0.003)	Loss 2.2844 (2.1640)	Prec@1 46.094 (45.358)	Prec@5 75.000 (75.841)
Epoch: [53][3240/14090]	Time 0.732 (0.752)	Data 0.001 (0.003)	Loss 2.0916 (2.1639)	Prec@1 46.094 (45.359)	Prec@5 75.781 (75.843)
Epoch: [53][3250/14090]	Time 0.754 (0.752)	Data 0.001 (0.003)	Loss 2.0300 (2.1636)	Prec@1 42.969 (45.364)	Prec@5 78.906 (75.849)
Epoch: [53][3260/14090]	Time 0.723 (0.752)	Data 0.001 (0.003)	Loss 2.2134 (2.1640)	Prec@1 42.969 (45.355)	Prec@5 77.344 (75.846)
Epoch: [53][3270/14090]	Time 0.732 (0.752)	Data 0.001 (0.003)	Loss 2.4359 (2.1642)	Prec@1 42.969 (45.349)	Prec@5 72.656 (75.844)
Epoch: [53][3280/14090]	Time 0.744 (0.752)	Data 0.001 (0.003)	Loss 2.1838 (2.1642)	Prec@1 47.656 (45.347)	Prec@5 75.000 (75.845)
Epoch: [53][3290/14090]	Time 0.752 (0.752)	Data 0.001 (0.003)	Loss 2.0481 (2.1640)	Prec@1 50.000 (45.350)	Prec@5 76.562 (75.849)
Epoch: [53][3300/14090]	Time 0.746 (0.752)	Data 0.001 (0.003)	Loss 2.0614 (2.1638)	Prec@1 45.312 (45.356)	Prec@5 78.906 (75.850)
Epoch: [53][3310/14090]	Time 0.733 (0.752)	Data 0.001 (0.003)	Loss 2.1031 (2.1639)	Prec@1 43.750 (45.353)	Prec@5 78.906 (75.849)
Epoch: [53][3320/14090]	Time 0.758 (0.752)	Data 0.001 (0.003)	Loss 2.3709 (2.1641)	Prec@1 37.500 (45.355)	Prec@5 73.438 (75.851)
Epoch: [53][3330/14090]	Time 0.727 (0.752)	Data 0.001 (0.003)	Loss 2.1118 (2.1638)	Prec@1 42.188 (45.359)	Prec@5 75.781 (75.859)
Epoch: [53][3340/14090]	Time 0.749 (0.752)	Data 0.001 (0.003)	Loss 2.0167 (2.1640)	Prec@1 47.656 (45.355)	Prec@5 79.688 (75.856)
Epoch: [53][3350/14090]	Time 0.743 (0.752)	Data 0.001 (0.002)	Loss 2.0750 (2.1641)	Prec@1 52.344 (45.353)	Prec@5 74.219 (75.852)
Epoch: [53][3360/14090]	Time 0.742 (0.752)	Data 0.001 (0.002)	Loss 2.2038 (2.1641)	Prec@1 42.188 (45.349)	Prec@5 74.219 (75.851)
Epoch: [53][3370/14090]	Time 0.744 (0.752)	Data 0.001 (0.002)	Loss 1.9911 (2.1642)	Prec@1 46.094 (45.346)	Prec@5 79.688 (75.851)
Epoch: [53][3380/14090]	Time 0.792 (0.752)	Data 0.001 (0.002)	Loss 2.2807 (2.1646)	Prec@1 46.094 (45.340)	Prec@5 74.219 (75.841)
Epoch: [53][3390/14090]	Time 0.746 (0.752)	Data 0.001 (0.002)	Loss 2.1830 (2.1646)	Prec@1 42.188 (45.336)	Prec@5 75.781 (75.840)
Epoch: [53][3400/14090]	Time 0.746 (0.752)	Data 0.001 (0.002)	Loss 2.1096 (2.1644)	Prec@1 45.312 (45.336)	Prec@5 77.344 (75.843)
Epoch: [53][3410/14090]	Time 0.772 (0.752)	Data 0.001 (0.002)	Loss 1.8282 (2.1642)	Prec@1 50.781 (45.336)	Prec@5 82.031 (75.845)
Epoch: [53][3420/14090]	Time 0.747 (0.752)	Data 0.001 (0.002)	Loss 2.0970 (2.1642)	Prec@1 49.219 (45.339)	Prec@5 75.000 (75.844)
Epoch: [53][3430/14090]	Time 0.758 (0.752)	Data 0.001 (0.002)	Loss 2.0676 (2.1642)	Prec@1 46.875 (45.336)	Prec@5 76.562 (75.846)
Epoch: [53][3440/14090]	Time 0.755 (0.752)	Data 0.001 (0.002)	Loss 2.2694 (2.1641)	Prec@1 39.844 (45.335)	Prec@5 75.781 (75.847)
Epoch: [53][3450/14090]	Time 0.766 (0.752)	Data 0.001 (0.002)	Loss 2.5464 (2.1643)	Prec@1 38.281 (45.333)	Prec@5 69.531 (75.843)
Epoch: [53][3460/14090]	Time 0.723 (0.752)	Data 0.001 (0.002)	Loss 2.0336 (2.1641)	Prec@1 46.875 (45.340)	Prec@5 74.219 (75.844)
Epoch: [53][3470/14090]	Time 0.749 (0.752)	Data 0.001 (0.002)	Loss 2.1004 (2.1640)	Prec@1 42.969 (45.341)	Prec@5 81.250 (75.848)
Epoch: [53][3480/14090]	Time 0.734 (0.752)	Data 0.003 (0.002)	Loss 2.0431 (2.1642)	Prec@1 43.750 (45.343)	Prec@5 78.125 (75.842)
Epoch: [53][3490/14090]	Time 0.744 (0.752)	Data 0.001 (0.002)	Loss 2.2430 (2.1644)	Prec@1 39.844 (45.334)	Prec@5 75.000 (75.837)
Epoch: [53][3500/14090]	Time 0.752 (0.752)	Data 0.004 (0.002)	Loss 2.0991 (2.1646)	Prec@1 41.406 (45.327)	Prec@5 77.344 (75.831)
Epoch: [53][3510/14090]	Time 0.733 (0.752)	Data 0.001 (0.002)	Loss 2.2941 (2.1647)	Prec@1 42.188 (45.323)	Prec@5 73.438 (75.829)
Epoch: [53][3520/14090]	Time 0.747 (0.752)	Data 0.001 (0.002)	Loss 1.9711 (2.1648)	Prec@1 43.750 (45.319)	Prec@5 84.375 (75.828)
Epoch: [53][3530/14090]	Time 0.750 (0.752)	Data 0.001 (0.002)	Loss 2.0788 (2.1648)	Prec@1 45.312 (45.317)	Prec@5 77.344 (75.829)
Epoch: [53][3540/14090]	Time 0.744 (0.752)	Data 0.001 (0.002)	Loss 2.0797 (2.1650)	Prec@1 44.531 (45.317)	Prec@5 71.875 (75.823)
Epoch: [53][3550/14090]	Time 0.748 (0.752)	Data 0.001 (0.002)	Loss 1.9470 (2.1650)	Prec@1 50.781 (45.314)	Prec@5 80.469 (75.828)
Epoch: [53][3560/14090]	Time 0.743 (0.752)	Data 0.001 (0.002)	Loss 2.4424 (2.1651)	Prec@1 36.719 (45.309)	Prec@5 68.750 (75.822)
Epoch: [53][3570/14090]	Time 0.750 (0.752)	Data 0.001 (0.002)	Loss 1.9637 (2.1651)	Prec@1 50.781 (45.311)	Prec@5 82.031 (75.825)
Epoch: [53][3580/14090]	Time 0.787 (0.752)	Data 0.001 (0.002)	Loss 2.4450 (2.1652)	Prec@1 36.719 (45.308)	Prec@5 70.312 (75.824)
Epoch: [53][3590/14090]	Time 0.732 (0.752)	Data 0.001 (0.002)	Loss 2.1947 (2.1654)	Prec@1 41.406 (45.305)	Prec@5 72.656 (75.821)
Epoch: [53][3600/14090]	Time 0.743 (0.752)	Data 0.001 (0.002)	Loss 2.2579 (2.1657)	Prec@1 46.875 (45.301)	Prec@5 72.656 (75.811)
Epoch: [53][3610/14090]	Time 0.771 (0.752)	Data 0.001 (0.002)	Loss 2.1795 (2.1657)	Prec@1 42.969 (45.301)	Prec@5 73.438 (75.818)
Epoch: [53][3620/14090]	Time 0.805 (0.752)	Data 0.001 (0.002)	Loss 2.0140 (2.1658)	Prec@1 53.906 (45.301)	Prec@5 79.688 (75.820)
Epoch: [53][3630/14090]	Time 0.769 (0.752)	Data 0.001 (0.002)	Loss 2.4491 (2.1658)	Prec@1 35.938 (45.297)	Prec@5 67.969 (75.814)
Epoch: [53][3640/14090]	Time 0.731 (0.752)	Data 0.001 (0.002)	Loss 2.0708 (2.1657)	Prec@1 39.844 (45.301)	Prec@5 80.469 (75.816)
Epoch: [53][3650/14090]	Time 0.773 (0.752)	Data 0.001 (0.002)	Loss 2.2277 (2.1656)	Prec@1 39.062 (45.296)	Prec@5 76.562 (75.822)
Epoch: [53][3660/14090]	Time 0.728 (0.752)	Data 0.001 (0.002)	Loss 1.9812 (2.1656)	Prec@1 48.438 (45.294)	Prec@5 80.469 (75.824)
Epoch: [53][3670/14090]	Time 0.727 (0.752)	Data 0.001 (0.002)	Loss 2.1059 (2.1659)	Prec@1 45.312 (45.286)	Prec@5 75.781 (75.821)
Epoch: [53][3680/14090]	Time 0.759 (0.752)	Data 0.001 (0.002)	Loss 2.4175 (2.1660)	Prec@1 39.844 (45.278)	Prec@5 73.438 (75.821)
Epoch: [53][3690/14090]	Time 0.732 (0.752)	Data 0.001 (0.002)	Loss 2.1371 (2.1660)	Prec@1 46.094 (45.280)	Prec@5 75.781 (75.820)
Epoch: [53][3700/14090]	Time 0.757 (0.752)	Data 0.001 (0.002)	Loss 2.3212 (2.1662)	Prec@1 45.312 (45.279)	Prec@5 75.000 (75.817)
Epoch: [53][3710/14090]	Time 0.753 (0.752)	Data 0.001 (0.002)	Loss 1.9726 (2.1662)	Prec@1 51.562 (45.281)	Prec@5 78.906 (75.820)
Epoch: [53][3720/14090]	Time 0.753 (0.752)	Data 0.001 (0.002)	Loss 2.2240 (2.1660)	Prec@1 42.969 (45.280)	Prec@5 78.125 (75.826)
Epoch: [53][3730/14090]	Time 0.758 (0.752)	Data 0.001 (0.002)	Loss 2.0871 (2.1661)	Prec@1 48.438 (45.282)	Prec@5 82.031 (75.828)
Epoch: [53][3740/14090]	Time 0.726 (0.752)	Data 0.001 (0.002)	Loss 2.3317 (2.1661)	Prec@1 46.875 (45.290)	Prec@5 74.219 (75.826)
Epoch: [53][3750/14090]	Time 0.752 (0.752)	Data 0.001 (0.002)	Loss 2.3707 (2.1662)	Prec@1 45.312 (45.283)	Prec@5 71.094 (75.824)
Epoch: [53][3760/14090]	Time 0.758 (0.752)	Data 0.001 (0.002)	Loss 2.4227 (2.1663)	Prec@1 39.062 (45.284)	Prec@5 70.312 (75.821)
Epoch: [53][3770/14090]	Time 0.751 (0.752)	Data 0.001 (0.002)	Loss 2.1968 (2.1664)	Prec@1 42.969 (45.283)	Prec@5 73.438 (75.818)
Epoch: [53][3780/14090]	Time 0.752 (0.752)	Data 0.001 (0.002)	Loss 2.1583 (2.1664)	Prec@1 47.656 (45.285)	Prec@5 75.000 (75.819)
Epoch: [53][3790/14090]	Time 0.725 (0.752)	Data 0.001 (0.002)	Loss 2.1945 (2.1662)	Prec@1 42.969 (45.289)	Prec@5 72.656 (75.823)
Epoch: [53][3800/14090]	Time 0.731 (0.752)	Data 0.001 (0.002)	Loss 2.0525 (2.1660)	Prec@1 51.562 (45.297)	Prec@5 77.344 (75.828)
Epoch: [53][3810/14090]	Time 0.752 (0.752)	Data 0.001 (0.002)	Loss 2.2157 (2.1662)	Prec@1 44.531 (45.289)	Prec@5 74.219 (75.826)
Epoch: [53][3820/14090]	Time 0.757 (0.752)	Data 0.001 (0.002)	Loss 1.8689 (2.1661)	Prec@1 46.875 (45.292)	Prec@5 82.031 (75.824)
Epoch: [53][3830/14090]	Time 0.722 (0.752)	Data 0.001 (0.002)	Loss 2.1410 (2.1662)	Prec@1 50.000 (45.291)	Prec@5 78.125 (75.824)
Epoch: [53][3840/14090]	Time 0.773 (0.752)	Data 0.001 (0.002)	Loss 2.1580 (2.1661)	Prec@1 49.219 (45.293)	Prec@5 75.781 (75.829)
Epoch: [53][3850/14090]	Time 0.758 (0.752)	Data 0.002 (0.002)	Loss 2.1616 (2.1661)	Prec@1 42.969 (45.291)	Prec@5 75.781 (75.831)
Epoch: [53][3860/14090]	Time 0.757 (0.752)	Data 0.001 (0.002)	Loss 2.1121 (2.1659)	Prec@1 46.875 (45.291)	Prec@5 77.344 (75.833)
Epoch: [53][3870/14090]	Time 0.738 (0.752)	Data 0.001 (0.002)	Loss 2.4168 (2.1658)	Prec@1 39.844 (45.289)	Prec@5 67.188 (75.834)
Epoch: [53][3880/14090]	Time 0.731 (0.752)	Data 0.001 (0.002)	Loss 2.0580 (2.1659)	Prec@1 50.781 (45.286)	Prec@5 79.688 (75.831)
Epoch: [53][3890/14090]	Time 0.726 (0.752)	Data 0.001 (0.002)	Loss 1.9430 (2.1660)	Prec@1 51.562 (45.284)	Prec@5 72.656 (75.824)
Epoch: [53][3900/14090]	Time 0.833 (0.752)	Data 0.001 (0.002)	Loss 2.0520 (2.1658)	Prec@1 52.344 (45.287)	Prec@5 78.125 (75.825)
Epoch: [53][3910/14090]	Time 0.728 (0.752)	Data 0.001 (0.002)	Loss 2.1639 (2.1659)	Prec@1 42.969 (45.286)	Prec@5 77.344 (75.822)
Epoch: [53][3920/14090]	Time 0.772 (0.752)	Data 0.001 (0.002)	Loss 1.8693 (2.1659)	Prec@1 50.781 (45.286)	Prec@5 78.125 (75.820)
Epoch: [53][3930/14090]	Time 0.756 (0.752)	Data 0.001 (0.002)	Loss 2.3505 (2.1659)	Prec@1 41.406 (45.287)	Prec@5 73.438 (75.822)
Epoch: [53][3940/14090]	Time 0.751 (0.752)	Data 0.001 (0.002)	Loss 2.1343 (2.1658)	Prec@1 52.344 (45.293)	Prec@5 76.562 (75.819)
Epoch: [53][3950/14090]	Time 0.750 (0.752)	Data 0.001 (0.002)	Loss 2.1660 (2.1656)	Prec@1 42.188 (45.291)	Prec@5 79.688 (75.825)
Epoch: [53][3960/14090]	Time 0.750 (0.752)	Data 0.001 (0.002)	Loss 2.3843 (2.1656)	Prec@1 42.969 (45.296)	Prec@5 70.312 (75.823)
Epoch: [53][3970/14090]	Time 0.727 (0.752)	Data 0.001 (0.002)	Loss 2.1512 (2.1657)	Prec@1 42.188 (45.298)	Prec@5 78.125 (75.821)
Epoch: [53][3980/14090]	Time 0.737 (0.752)	Data 0.001 (0.002)	Loss 2.4325 (2.1659)	Prec@1 32.812 (45.287)	Prec@5 73.438 (75.820)
Epoch: [53][3990/14090]	Time 0.734 (0.752)	Data 0.001 (0.002)	Loss 2.5685 (2.1658)	Prec@1 34.375 (45.283)	Prec@5 67.188 (75.823)
Epoch: [53][4000/14090]	Time 0.730 (0.752)	Data 0.001 (0.002)	Loss 2.2236 (2.1660)	Prec@1 40.625 (45.282)	Prec@5 75.000 (75.819)
Epoch: [53][4010/14090]	Time 0.728 (0.752)	Data 0.001 (0.002)	Loss 2.1239 (2.1659)	Prec@1 46.094 (45.286)	Prec@5 78.906 (75.820)
Epoch: [53][4020/14090]	Time 0.762 (0.752)	Data 0.001 (0.002)	Loss 2.2031 (2.1658)	Prec@1 39.844 (45.289)	Prec@5 76.562 (75.828)
Epoch: [53][4030/14090]	Time 0.748 (0.752)	Data 0.001 (0.002)	Loss 2.1341 (2.1657)	Prec@1 40.625 (45.291)	Prec@5 73.438 (75.826)
Epoch: [53][4040/14090]	Time 0.735 (0.752)	Data 0.001 (0.002)	Loss 2.5030 (2.1659)	Prec@1 41.406 (45.292)	Prec@5 67.188 (75.821)
Epoch: [53][4050/14090]	Time 0.735 (0.752)	Data 0.001 (0.002)	Loss 2.0967 (2.1658)	Prec@1 47.656 (45.291)	Prec@5 81.250 (75.821)
Epoch: [53][4060/14090]	Time 0.742 (0.752)	Data 0.001 (0.002)	Loss 2.3213 (2.1660)	Prec@1 42.188 (45.286)	Prec@5 71.875 (75.819)
Epoch: [53][4070/14090]	Time 0.759 (0.752)	Data 0.001 (0.002)	Loss 2.3304 (2.1660)	Prec@1 42.188 (45.282)	Prec@5 69.531 (75.816)
Epoch: [53][4080/14090]	Time 0.758 (0.752)	Data 0.001 (0.002)	Loss 1.9951 (2.1660)	Prec@1 48.438 (45.279)	Prec@5 77.344 (75.818)
Epoch: [53][4090/14090]	Time 0.735 (0.752)	Data 0.001 (0.002)	Loss 2.1734 (2.1661)	Prec@1 42.188 (45.273)	Prec@5 76.562 (75.813)
Epoch: [53][4100/14090]	Time 0.742 (0.752)	Data 0.001 (0.002)	Loss 2.0477 (2.1660)	Prec@1 45.312 (45.273)	Prec@5 77.344 (75.815)
Epoch: [53][4110/14090]	Time 0.719 (0.752)	Data 0.001 (0.002)	Loss 2.1490 (2.1661)	Prec@1 43.750 (45.269)	Prec@5 73.438 (75.810)
Epoch: [53][4120/14090]	Time 0.752 (0.752)	Data 0.001 (0.002)	Loss 2.2072 (2.1661)	Prec@1 44.531 (45.268)	Prec@5 73.438 (75.809)
Epoch: [53][4130/14090]	Time 0.733 (0.752)	Data 0.001 (0.002)	Loss 2.1712 (2.1661)	Prec@1 40.625 (45.267)	Prec@5 77.344 (75.809)
Epoch: [53][4140/14090]	Time 0.780 (0.752)	Data 0.001 (0.002)	Loss 2.2270 (2.1661)	Prec@1 46.094 (45.268)	Prec@5 78.125 (75.811)
Epoch: [53][4150/14090]	Time 0.726 (0.752)	Data 0.001 (0.002)	Loss 2.3440 (2.1662)	Prec@1 40.625 (45.269)	Prec@5 67.188 (75.809)
Epoch: [53][4160/14090]	Time 0.760 (0.752)	Data 0.001 (0.002)	Loss 1.9198 (2.1662)	Prec@1 50.000 (45.267)	Prec@5 80.469 (75.812)
Epoch: [53][4170/14090]	Time 0.735 (0.752)	Data 0.001 (0.002)	Loss 2.1970 (2.1660)	Prec@1 45.312 (45.268)	Prec@5 76.562 (75.815)
Epoch: [53][4180/14090]	Time 0.784 (0.752)	Data 0.001 (0.002)	Loss 1.9468 (2.1660)	Prec@1 44.531 (45.268)	Prec@5 78.906 (75.814)
Epoch: [53][4190/14090]	Time 0.749 (0.752)	Data 0.001 (0.002)	Loss 2.2590 (2.1660)	Prec@1 44.531 (45.264)	Prec@5 68.750 (75.814)
Epoch: [53][4200/14090]	Time 0.732 (0.752)	Data 0.001 (0.002)	Loss 2.3725 (2.1659)	Prec@1 35.938 (45.264)	Prec@5 74.219 (75.814)
Epoch: [53][4210/14090]	Time 0.740 (0.752)	Data 0.001 (0.002)	Loss 2.0762 (2.1659)	Prec@1 48.438 (45.267)	Prec@5 79.688 (75.814)
Epoch: [53][4220/14090]	Time 0.753 (0.752)	Data 0.001 (0.002)	Loss 2.3647 (2.1660)	Prec@1 34.375 (45.265)	Prec@5 75.781 (75.810)
Epoch: [53][4230/14090]	Time 0.764 (0.752)	Data 0.001 (0.002)	Loss 1.9915 (2.1659)	Prec@1 52.344 (45.266)	Prec@5 74.219 (75.813)
Epoch: [53][4240/14090]	Time 0.745 (0.752)	Data 0.001 (0.002)	Loss 2.0597 (2.1658)	Prec@1 48.438 (45.267)	Prec@5 76.562 (75.813)
Epoch: [53][4250/14090]	Time 0.864 (0.752)	Data 0.001 (0.002)	Loss 2.1473 (2.1658)	Prec@1 46.094 (45.267)	Prec@5 73.438 (75.812)
Epoch: [53][4260/14090]	Time 0.752 (0.752)	Data 0.001 (0.002)	Loss 2.2924 (2.1658)	Prec@1 42.188 (45.265)	Prec@5 71.875 (75.813)
Epoch: [53][4270/14090]	Time 0.747 (0.752)	Data 0.001 (0.002)	Loss 2.1085 (2.1658)	Prec@1 41.406 (45.263)	Prec@5 76.562 (75.812)
Epoch: [53][4280/14090]	Time 0.755 (0.752)	Data 0.001 (0.002)	Loss 1.9581 (2.1659)	Prec@1 48.438 (45.262)	Prec@5 78.125 (75.809)
Epoch: [53][4290/14090]	Time 0.729 (0.752)	Data 0.001 (0.002)	Loss 1.8695 (2.1658)	Prec@1 53.906 (45.266)	Prec@5 79.688 (75.810)
Epoch: [53][4300/14090]	Time 0.781 (0.752)	Data 0.001 (0.002)	Loss 2.3562 (2.1658)	Prec@1 39.844 (45.268)	Prec@5 71.094 (75.813)
Epoch: [53][4310/14090]	Time 0.734 (0.752)	Data 0.001 (0.002)	Loss 2.0404 (2.1656)	Prec@1 45.312 (45.269)	Prec@5 80.469 (75.814)
Epoch: [53][4320/14090]	Time 0.765 (0.752)	Data 0.001 (0.002)	Loss 2.2179 (2.1655)	Prec@1 46.094 (45.272)	Prec@5 74.219 (75.812)
Epoch: [53][4330/14090]	Time 0.726 (0.752)	Data 0.001 (0.002)	Loss 2.0300 (2.1655)	Prec@1 46.094 (45.272)	Prec@5 75.000 (75.812)
Epoch: [53][4340/14090]	Time 0.765 (0.752)	Data 0.001 (0.002)	Loss 2.5313 (2.1658)	Prec@1 35.938 (45.264)	Prec@5 69.531 (75.808)
Epoch: [53][4350/14090]	Time 0.754 (0.752)	Data 0.001 (0.002)	Loss 2.1324 (2.1657)	Prec@1 42.188 (45.268)	Prec@5 76.562 (75.812)
Epoch: [53][4360/14090]	Time 0.728 (0.752)	Data 0.001 (0.002)	Loss 1.9587 (2.1656)	Prec@1 53.125 (45.273)	Prec@5 78.125 (75.813)
Epoch: [53][4370/14090]	Time 0.769 (0.752)	Data 0.001 (0.002)	Loss 1.9237 (2.1654)	Prec@1 49.219 (45.275)	Prec@5 83.594 (75.816)
Epoch: [53][4380/14090]	Time 0.773 (0.752)	Data 0.001 (0.002)	Loss 2.0433 (2.1655)	Prec@1 49.219 (45.271)	Prec@5 77.344 (75.818)
Epoch: [53][4390/14090]	Time 0.726 (0.752)	Data 0.001 (0.002)	Loss 2.0965 (2.1657)	Prec@1 42.969 (45.266)	Prec@5 77.344 (75.816)
Epoch: [53][4400/14090]	Time 0.755 (0.752)	Data 0.001 (0.002)	Loss 1.9947 (2.1657)	Prec@1 48.438 (45.267)	Prec@5 78.906 (75.818)
Epoch: [53][4410/14090]	Time 0.770 (0.752)	Data 0.001 (0.002)	Loss 2.0914 (2.1657)	Prec@1 51.562 (45.268)	Prec@5 74.219 (75.818)
Epoch: [53][4420/14090]	Time 0.750 (0.752)	Data 0.001 (0.002)	Loss 2.1870 (2.1658)	Prec@1 46.875 (45.265)	Prec@5 79.688 (75.818)
Epoch: [53][4430/14090]	Time 0.772 (0.752)	Data 0.001 (0.002)	Loss 2.1545 (2.1660)	Prec@1 46.875 (45.263)	Prec@5 75.781 (75.814)
Epoch: [53][4440/14090]	Time 0.743 (0.752)	Data 0.001 (0.002)	Loss 2.0906 (2.1660)	Prec@1 38.281 (45.259)	Prec@5 75.781 (75.813)
Epoch: [53][4450/14090]	Time 0.755 (0.752)	Data 0.001 (0.002)	Loss 2.4413 (2.1662)	Prec@1 42.188 (45.255)	Prec@5 72.656 (75.812)
Epoch: [53][4460/14090]	Time 0.777 (0.752)	Data 0.002 (0.002)	Loss 2.1513 (2.1662)	Prec@1 46.094 (45.254)	Prec@5 75.781 (75.811)
Epoch: [53][4470/14090]	Time 0.730 (0.752)	Data 0.001 (0.002)	Loss 2.4321 (2.1661)	Prec@1 39.062 (45.256)	Prec@5 67.969 (75.812)
Epoch: [53][4480/14090]	Time 0.777 (0.752)	Data 0.001 (0.002)	Loss 2.1966 (2.1661)	Prec@1 44.531 (45.257)	Prec@5 77.344 (75.815)
Epoch: [53][4490/14090]	Time 0.784 (0.752)	Data 0.001 (0.002)	Loss 2.3845 (2.1661)	Prec@1 38.281 (45.256)	Prec@5 72.656 (75.814)
Epoch: [53][4500/14090]	Time 0.724 (0.752)	Data 0.001 (0.002)	Loss 1.8147 (2.1661)	Prec@1 51.562 (45.256)	Prec@5 85.938 (75.818)
Epoch: [53][4510/14090]	Time 0.750 (0.752)	Data 0.001 (0.002)	Loss 2.2483 (2.1658)	Prec@1 41.406 (45.262)	Prec@5 74.219 (75.821)
Epoch: [53][4520/14090]	Time 0.741 (0.752)	Data 0.001 (0.002)	Loss 2.0690 (2.1659)	Prec@1 46.875 (45.264)	Prec@5 76.562 (75.823)
Epoch: [53][4530/14090]	Time 0.748 (0.752)	Data 0.001 (0.002)	Loss 2.1203 (2.1658)	Prec@1 46.875 (45.268)	Prec@5 78.906 (75.822)
Epoch: [53][4540/14090]	Time 0.729 (0.752)	Data 0.001 (0.002)	Loss 2.1751 (2.1659)	Prec@1 44.531 (45.267)	Prec@5 78.125 (75.820)
Epoch: [53][4550/14090]	Time 0.744 (0.752)	Data 0.001 (0.002)	Loss 2.1015 (2.1659)	Prec@1 42.969 (45.263)	Prec@5 80.469 (75.820)
Epoch: [53][4560/14090]	Time 0.741 (0.752)	Data 0.001 (0.002)	Loss 2.1095 (2.1658)	Prec@1 44.531 (45.264)	Prec@5 75.781 (75.822)
Epoch: [53][4570/14090]	Time 0.739 (0.752)	Data 0.001 (0.002)	Loss 2.2908 (2.1657)	Prec@1 40.625 (45.265)	Prec@5 71.094 (75.826)
Epoch: [53][4580/14090]	Time 0.738 (0.752)	Data 0.001 (0.002)	Loss 2.2755 (2.1656)	Prec@1 47.656 (45.267)	Prec@5 74.219 (75.826)
Epoch: [53][4590/14090]	Time 0.732 (0.752)	Data 0.001 (0.002)	Loss 2.2640 (2.1658)	Prec@1 45.312 (45.267)	Prec@5 73.438 (75.824)
Epoch: [53][4600/14090]	Time 0.737 (0.752)	Data 0.001 (0.002)	Loss 1.9696 (2.1658)	Prec@1 51.562 (45.272)	Prec@5 80.469 (75.824)
Epoch: [53][4610/14090]	Time 0.768 (0.752)	Data 0.001 (0.002)	Loss 2.0435 (2.1657)	Prec@1 50.000 (45.273)	Prec@5 75.781 (75.825)
Epoch: [53][4620/14090]	Time 0.778 (0.752)	Data 0.001 (0.002)	Loss 2.3518 (2.1658)	Prec@1 39.062 (45.274)	Prec@5 71.094 (75.823)
Epoch: [53][4630/14090]	Time 0.752 (0.751)	Data 0.001 (0.002)	Loss 2.3719 (2.1660)	Prec@1 39.844 (45.268)	Prec@5 71.875 (75.820)
Epoch: [53][4640/14090]	Time 0.759 (0.751)	Data 0.001 (0.002)	Loss 1.8722 (2.1659)	Prec@1 51.562 (45.267)	Prec@5 85.156 (75.823)
Epoch: [53][4650/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 2.3599 (2.1657)	Prec@1 42.188 (45.271)	Prec@5 73.438 (75.824)
Epoch: [53][4660/14090]	Time 0.759 (0.751)	Data 0.001 (0.002)	Loss 2.4575 (2.1660)	Prec@1 37.500 (45.262)	Prec@5 66.406 (75.818)
Epoch: [53][4670/14090]	Time 0.745 (0.751)	Data 0.002 (0.002)	Loss 2.0051 (2.1661)	Prec@1 44.531 (45.260)	Prec@5 78.125 (75.819)
Epoch: [53][4680/14090]	Time 0.724 (0.751)	Data 0.001 (0.002)	Loss 2.3337 (2.1660)	Prec@1 39.062 (45.261)	Prec@5 74.219 (75.820)
Epoch: [53][4690/14090]	Time 0.776 (0.751)	Data 0.001 (0.002)	Loss 1.9565 (2.1661)	Prec@1 53.125 (45.261)	Prec@5 80.469 (75.820)
Epoch: [53][4700/14090]	Time 0.753 (0.751)	Data 0.001 (0.002)	Loss 1.9221 (2.1659)	Prec@1 47.656 (45.262)	Prec@5 83.594 (75.825)
Epoch: [53][4710/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 2.0816 (2.1657)	Prec@1 43.750 (45.270)	Prec@5 79.688 (75.827)
Epoch: [53][4720/14090]	Time 0.775 (0.751)	Data 0.001 (0.002)	Loss 2.0552 (2.1658)	Prec@1 42.188 (45.270)	Prec@5 79.688 (75.825)
Epoch: [53][4730/14090]	Time 0.741 (0.751)	Data 0.001 (0.002)	Loss 1.9371 (2.1659)	Prec@1 52.344 (45.265)	Prec@5 74.219 (75.822)
Epoch: [53][4740/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 2.2753 (2.1660)	Prec@1 42.969 (45.262)	Prec@5 74.219 (75.821)
Epoch: [53][4750/14090]	Time 0.757 (0.751)	Data 0.001 (0.002)	Loss 2.1958 (2.1658)	Prec@1 45.312 (45.264)	Prec@5 72.656 (75.826)
Epoch: [53][4760/14090]	Time 0.745 (0.751)	Data 0.001 (0.002)	Loss 2.4572 (2.1659)	Prec@1 35.156 (45.267)	Prec@5 72.656 (75.827)
Epoch: [53][4770/14090]	Time 0.728 (0.751)	Data 0.001 (0.002)	Loss 1.9971 (2.1659)	Prec@1 50.000 (45.266)	Prec@5 78.125 (75.824)
Epoch: [53][4780/14090]	Time 0.764 (0.751)	Data 0.001 (0.002)	Loss 2.3015 (2.1660)	Prec@1 43.750 (45.266)	Prec@5 71.094 (75.821)
Epoch: [53][4790/14090]	Time 0.776 (0.751)	Data 0.001 (0.002)	Loss 2.2568 (2.1658)	Prec@1 43.750 (45.268)	Prec@5 77.344 (75.823)
Epoch: [53][4800/14090]	Time 0.729 (0.751)	Data 0.001 (0.002)	Loss 2.0747 (2.1659)	Prec@1 47.656 (45.267)	Prec@5 75.781 (75.819)
Epoch: [53][4810/14090]	Time 0.735 (0.751)	Data 0.001 (0.002)	Loss 2.1073 (2.1657)	Prec@1 40.625 (45.271)	Prec@5 78.906 (75.825)
Epoch: [53][4820/14090]	Time 0.766 (0.751)	Data 0.001 (0.002)	Loss 1.9846 (2.1656)	Prec@1 47.656 (45.274)	Prec@5 78.906 (75.825)
Epoch: [53][4830/14090]	Time 0.729 (0.751)	Data 0.002 (0.002)	Loss 2.2981 (2.1657)	Prec@1 46.094 (45.274)	Prec@5 71.094 (75.823)
Epoch: [53][4840/14090]	Time 0.767 (0.751)	Data 0.001 (0.002)	Loss 2.2214 (2.1657)	Prec@1 46.094 (45.274)	Prec@5 71.094 (75.825)
Epoch: [53][4850/14090]	Time 0.749 (0.751)	Data 0.001 (0.002)	Loss 2.1343 (2.1657)	Prec@1 49.219 (45.280)	Prec@5 74.219 (75.825)
Epoch: [53][4860/14090]	Time 0.750 (0.751)	Data 0.001 (0.002)	Loss 2.1219 (2.1658)	Prec@1 50.000 (45.281)	Prec@5 79.688 (75.823)
Epoch: [53][4870/14090]	Time 0.750 (0.751)	Data 0.001 (0.002)	Loss 2.0120 (2.1658)	Prec@1 49.219 (45.283)	Prec@5 78.906 (75.822)
Epoch: [53][4880/14090]	Time 0.734 (0.751)	Data 0.001 (0.002)	Loss 1.9960 (2.1658)	Prec@1 45.312 (45.281)	Prec@5 78.906 (75.823)
Epoch: [53][4890/14090]	Time 0.735 (0.751)	Data 0.001 (0.002)	Loss 2.2150 (2.1662)	Prec@1 46.875 (45.274)	Prec@5 75.000 (75.818)
Epoch: [53][4900/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 2.1875 (2.1661)	Prec@1 46.875 (45.275)	Prec@5 77.344 (75.820)
Epoch: [53][4910/14090]	Time 0.762 (0.751)	Data 0.001 (0.002)	Loss 2.1726 (2.1662)	Prec@1 48.438 (45.273)	Prec@5 75.781 (75.816)
Epoch: [53][4920/14090]	Time 0.719 (0.751)	Data 0.001 (0.002)	Loss 2.1835 (2.1663)	Prec@1 42.188 (45.269)	Prec@5 75.781 (75.814)
Epoch: [53][4930/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 2.3442 (2.1664)	Prec@1 41.406 (45.270)	Prec@5 68.750 (75.811)
Epoch: [53][4940/14090]	Time 0.784 (0.751)	Data 0.001 (0.002)	Loss 2.0210 (2.1662)	Prec@1 48.438 (45.272)	Prec@5 81.250 (75.811)
Epoch: [53][4950/14090]	Time 0.750 (0.751)	Data 0.002 (0.002)	Loss 2.4195 (2.1664)	Prec@1 45.312 (45.270)	Prec@5 72.656 (75.809)
Epoch: [53][4960/14090]	Time 0.730 (0.751)	Data 0.001 (0.002)	Loss 2.0904 (2.1664)	Prec@1 46.875 (45.269)	Prec@5 75.000 (75.810)
Epoch: [53][4970/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 2.2662 (2.1664)	Prec@1 41.406 (45.269)	Prec@5 76.562 (75.813)
Epoch: [53][4980/14090]	Time 0.762 (0.751)	Data 0.001 (0.002)	Loss 2.0320 (2.1662)	Prec@1 50.781 (45.273)	Prec@5 76.562 (75.816)
Epoch: [53][4990/14090]	Time 0.753 (0.751)	Data 0.001 (0.002)	Loss 2.1828 (2.1663)	Prec@1 51.562 (45.273)	Prec@5 75.781 (75.815)
Epoch: [53][5000/14090]	Time 0.727 (0.751)	Data 0.001 (0.002)	Loss 1.9945 (2.1660)	Prec@1 48.438 (45.281)	Prec@5 79.688 (75.817)
Epoch: [53][5010/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 2.5241 (2.1660)	Prec@1 36.719 (45.279)	Prec@5 68.750 (75.817)
Epoch: [53][5020/14090]	Time 0.745 (0.751)	Data 0.001 (0.002)	Loss 2.6445 (2.1660)	Prec@1 39.062 (45.280)	Prec@5 68.750 (75.815)
Epoch: [53][5030/14090]	Time 0.758 (0.751)	Data 0.001 (0.002)	Loss 1.9707 (2.1661)	Prec@1 44.531 (45.277)	Prec@5 76.562 (75.810)
Epoch: [53][5040/14090]	Time 0.734 (0.751)	Data 0.001 (0.002)	Loss 1.7334 (2.1661)	Prec@1 53.906 (45.277)	Prec@5 82.812 (75.809)
Epoch: [53][5050/14090]	Time 0.757 (0.751)	Data 0.001 (0.002)	Loss 2.1642 (2.1661)	Prec@1 46.094 (45.276)	Prec@5 75.000 (75.810)
Epoch: [53][5060/14090]	Time 0.772 (0.751)	Data 0.001 (0.002)	Loss 2.0351 (2.1661)	Prec@1 44.531 (45.279)	Prec@5 76.562 (75.811)
Epoch: [53][5070/14090]	Time 0.779 (0.751)	Data 0.001 (0.002)	Loss 2.0360 (2.1661)	Prec@1 50.781 (45.280)	Prec@5 78.125 (75.809)
Epoch: [53][5080/14090]	Time 0.738 (0.751)	Data 0.001 (0.002)	Loss 2.1716 (2.1661)	Prec@1 46.875 (45.278)	Prec@5 76.562 (75.807)
Epoch: [53][5090/14090]	Time 0.733 (0.751)	Data 0.001 (0.002)	Loss 2.4129 (2.1661)	Prec@1 36.719 (45.281)	Prec@5 75.000 (75.807)
Epoch: [53][5100/14090]	Time 0.731 (0.751)	Data 0.001 (0.002)	Loss 2.3286 (2.1662)	Prec@1 44.531 (45.276)	Prec@5 73.438 (75.805)
Epoch: [53][5110/14090]	Time 0.738 (0.751)	Data 0.001 (0.002)	Loss 1.9647 (2.1662)	Prec@1 49.219 (45.277)	Prec@5 78.906 (75.809)
Epoch: [53][5120/14090]	Time 0.749 (0.751)	Data 0.001 (0.002)	Loss 2.3517 (2.1664)	Prec@1 37.500 (45.270)	Prec@5 72.656 (75.807)
Epoch: [53][5130/14090]	Time 0.740 (0.751)	Data 0.001 (0.002)	Loss 2.1457 (2.1663)	Prec@1 44.531 (45.271)	Prec@5 73.438 (75.807)
Epoch: [53][5140/14090]	Time 0.740 (0.751)	Data 0.001 (0.002)	Loss 2.3123 (2.1663)	Prec@1 43.750 (45.270)	Prec@5 75.781 (75.807)
Epoch: [53][5150/14090]	Time 0.762 (0.751)	Data 0.001 (0.002)	Loss 2.4141 (2.1664)	Prec@1 35.938 (45.265)	Prec@5 71.875 (75.806)
Epoch: [53][5160/14090]	Time 0.762 (0.751)	Data 0.001 (0.002)	Loss 2.3102 (2.1666)	Prec@1 42.188 (45.263)	Prec@5 73.438 (75.802)
Epoch: [53][5170/14090]	Time 0.727 (0.751)	Data 0.001 (0.002)	Loss 2.0395 (2.1666)	Prec@1 45.312 (45.259)	Prec@5 78.125 (75.800)
Epoch: [53][5180/14090]	Time 0.749 (0.751)	Data 0.001 (0.002)	Loss 2.1726 (2.1668)	Prec@1 44.531 (45.254)	Prec@5 73.438 (75.799)
Epoch: [53][5190/14090]	Time 0.749 (0.751)	Data 0.001 (0.002)	Loss 2.0411 (2.1667)	Prec@1 48.438 (45.254)	Prec@5 71.875 (75.800)
Epoch: [53][5200/14090]	Time 0.743 (0.751)	Data 0.001 (0.002)	Loss 1.8107 (2.1665)	Prec@1 52.344 (45.258)	Prec@5 80.469 (75.802)
Epoch: [53][5210/14090]	Time 0.769 (0.751)	Data 0.001 (0.002)	Loss 2.2120 (2.1664)	Prec@1 40.625 (45.260)	Prec@5 78.906 (75.804)
Epoch: [53][5220/14090]	Time 0.777 (0.751)	Data 0.001 (0.002)	Loss 2.3076 (2.1665)	Prec@1 38.281 (45.257)	Prec@5 72.656 (75.802)
Epoch: [53][5230/14090]	Time 0.764 (0.751)	Data 0.001 (0.002)	Loss 2.1919 (2.1666)	Prec@1 45.312 (45.257)	Prec@5 74.219 (75.804)
Epoch: [53][5240/14090]	Time 0.727 (0.751)	Data 0.001 (0.002)	Loss 2.4013 (2.1667)	Prec@1 35.938 (45.255)	Prec@5 71.094 (75.802)
Epoch: [53][5250/14090]	Time 0.746 (0.751)	Data 0.001 (0.002)	Loss 1.8880 (2.1667)	Prec@1 43.750 (45.253)	Prec@5 81.250 (75.801)
Epoch: [53][5260/14090]	Time 0.732 (0.751)	Data 0.001 (0.002)	Loss 2.3500 (2.1668)	Prec@1 39.844 (45.253)	Prec@5 71.875 (75.799)
Epoch: [53][5270/14090]	Time 0.729 (0.751)	Data 0.001 (0.002)	Loss 2.1809 (2.1666)	Prec@1 42.188 (45.257)	Prec@5 74.219 (75.800)
Epoch: [53][5280/14090]	Time 0.724 (0.751)	Data 0.001 (0.002)	Loss 1.6983 (2.1666)	Prec@1 48.438 (45.260)	Prec@5 88.281 (75.802)
Epoch: [53][5290/14090]	Time 0.736 (0.751)	Data 0.004 (0.002)	Loss 2.2320 (2.1666)	Prec@1 47.656 (45.260)	Prec@5 75.000 (75.799)
Epoch: [53][5300/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 2.1849 (2.1664)	Prec@1 49.219 (45.268)	Prec@5 76.562 (75.804)
Epoch: [53][5310/14090]	Time 0.749 (0.751)	Data 0.001 (0.002)	Loss 2.1089 (2.1664)	Prec@1 44.531 (45.267)	Prec@5 82.812 (75.806)
Epoch: [53][5320/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 2.1336 (2.1665)	Prec@1 46.094 (45.267)	Prec@5 78.125 (75.804)
Epoch: [53][5330/14090]	Time 0.759 (0.751)	Data 0.001 (0.002)	Loss 2.1364 (2.1665)	Prec@1 49.219 (45.267)	Prec@5 77.344 (75.804)
Epoch: [53][5340/14090]	Time 0.743 (0.751)	Data 0.001 (0.002)	Loss 2.0530 (2.1664)	Prec@1 42.188 (45.270)	Prec@5 78.906 (75.805)
Epoch: [53][5350/14090]	Time 0.737 (0.751)	Data 0.001 (0.002)	Loss 2.1196 (2.1665)	Prec@1 45.312 (45.268)	Prec@5 78.125 (75.804)
Epoch: [53][5360/14090]	Time 0.726 (0.751)	Data 0.001 (0.002)	Loss 2.2246 (2.1666)	Prec@1 39.062 (45.264)	Prec@5 74.219 (75.805)
Epoch: [53][5370/14090]	Time 0.765 (0.751)	Data 0.001 (0.002)	Loss 2.0596 (2.1666)	Prec@1 47.656 (45.261)	Prec@5 75.781 (75.804)
Epoch: [53][5380/14090]	Time 0.777 (0.751)	Data 0.001 (0.002)	Loss 2.1167 (2.1666)	Prec@1 42.969 (45.259)	Prec@5 78.125 (75.803)
Epoch: [53][5390/14090]	Time 0.741 (0.751)	Data 0.001 (0.002)	Loss 2.1853 (2.1666)	Prec@1 46.094 (45.256)	Prec@5 75.000 (75.806)
Epoch: [53][5400/14090]	Time 0.740 (0.751)	Data 0.001 (0.002)	Loss 2.3861 (2.1667)	Prec@1 41.406 (45.252)	Prec@5 70.312 (75.802)
Epoch: [53][5410/14090]	Time 0.762 (0.751)	Data 0.001 (0.002)	Loss 1.8528 (2.1666)	Prec@1 57.031 (45.254)	Prec@5 82.031 (75.805)
Epoch: [53][5420/14090]	Time 0.779 (0.751)	Data 0.001 (0.002)	Loss 2.2498 (2.1666)	Prec@1 45.312 (45.256)	Prec@5 71.875 (75.804)
Epoch: [53][5430/14090]	Time 0.752 (0.751)	Data 0.001 (0.002)	Loss 2.4092 (2.1666)	Prec@1 39.062 (45.255)	Prec@5 72.656 (75.804)
Epoch: [53][5440/14090]	Time 0.749 (0.751)	Data 0.001 (0.002)	Loss 2.2420 (2.1667)	Prec@1 39.844 (45.250)	Prec@5 69.531 (75.803)
Epoch: [53][5450/14090]	Time 0.749 (0.751)	Data 0.001 (0.002)	Loss 2.3452 (2.1670)	Prec@1 42.188 (45.247)	Prec@5 72.656 (75.801)
Epoch: [53][5460/14090]	Time 0.744 (0.751)	Data 0.001 (0.002)	Loss 2.1535 (2.1669)	Prec@1 46.094 (45.246)	Prec@5 71.094 (75.801)
Epoch: [53][5470/14090]	Time 0.770 (0.751)	Data 0.001 (0.002)	Loss 2.1374 (2.1670)	Prec@1 47.656 (45.246)	Prec@5 78.125 (75.800)
Epoch: [53][5480/14090]	Time 0.774 (0.751)	Data 0.001 (0.002)	Loss 2.1655 (2.1670)	Prec@1 50.781 (45.245)	Prec@5 80.469 (75.798)
Epoch: [53][5490/14090]	Time 0.731 (0.751)	Data 0.001 (0.002)	Loss 2.3475 (2.1670)	Prec@1 40.625 (45.243)	Prec@5 68.750 (75.797)
Epoch: [53][5500/14090]	Time 0.754 (0.751)	Data 0.002 (0.002)	Loss 1.9920 (2.1670)	Prec@1 53.906 (45.245)	Prec@5 74.219 (75.796)
Epoch: [53][5510/14090]	Time 0.895 (0.751)	Data 0.001 (0.002)	Loss 2.5558 (2.1672)	Prec@1 36.719 (45.242)	Prec@5 69.531 (75.791)
Epoch: [53][5520/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 2.0763 (2.1671)	Prec@1 47.656 (45.245)	Prec@5 74.219 (75.793)
Epoch: [53][5530/14090]	Time 0.738 (0.751)	Data 0.001 (0.002)	Loss 2.1117 (2.1671)	Prec@1 44.531 (45.243)	Prec@5 74.219 (75.792)
Epoch: [53][5540/14090]	Time 0.762 (0.751)	Data 0.001 (0.002)	Loss 2.1487 (2.1671)	Prec@1 43.750 (45.244)	Prec@5 76.562 (75.792)
Epoch: [53][5550/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 2.3399 (2.1671)	Prec@1 50.000 (45.243)	Prec@5 71.875 (75.790)
Epoch: [53][5560/14090]	Time 0.757 (0.751)	Data 0.001 (0.002)	Loss 2.0776 (2.1671)	Prec@1 45.312 (45.244)	Prec@5 77.344 (75.791)
Epoch: [53][5570/14090]	Time 0.763 (0.751)	Data 0.001 (0.002)	Loss 2.3334 (2.1671)	Prec@1 43.750 (45.244)	Prec@5 76.562 (75.790)
Epoch: [53][5580/14090]	Time 0.882 (0.751)	Data 0.001 (0.002)	Loss 1.9717 (2.1672)	Prec@1 43.750 (45.240)	Prec@5 82.812 (75.791)
Epoch: [53][5590/14090]	Time 0.750 (0.751)	Data 0.001 (0.002)	Loss 2.4388 (2.1673)	Prec@1 36.719 (45.236)	Prec@5 73.438 (75.789)
Epoch: [53][5600/14090]	Time 0.738 (0.751)	Data 0.001 (0.002)	Loss 2.2948 (2.1674)	Prec@1 46.094 (45.233)	Prec@5 73.438 (75.789)
Epoch: [53][5610/14090]	Time 0.752 (0.751)	Data 0.001 (0.002)	Loss 2.2100 (2.1674)	Prec@1 42.969 (45.230)	Prec@5 75.781 (75.789)
Epoch: [53][5620/14090]	Time 0.741 (0.751)	Data 0.001 (0.002)	Loss 2.1610 (2.1673)	Prec@1 45.312 (45.233)	Prec@5 75.781 (75.793)
Epoch: [53][5630/14090]	Time 0.774 (0.751)	Data 0.001 (0.002)	Loss 2.2053 (2.1672)	Prec@1 48.438 (45.236)	Prec@5 75.000 (75.791)
Epoch: [53][5640/14090]	Time 0.759 (0.751)	Data 0.001 (0.002)	Loss 2.0457 (2.1672)	Prec@1 47.656 (45.237)	Prec@5 81.250 (75.792)
Epoch: [53][5650/14090]	Time 0.743 (0.751)	Data 0.001 (0.002)	Loss 2.1749 (2.1673)	Prec@1 44.531 (45.233)	Prec@5 75.781 (75.790)
Epoch: [53][5660/14090]	Time 0.753 (0.751)	Data 0.001 (0.002)	Loss 2.2926 (2.1671)	Prec@1 42.188 (45.235)	Prec@5 74.219 (75.794)
Epoch: [53][5670/14090]	Time 0.773 (0.751)	Data 0.001 (0.002)	Loss 1.9953 (2.1670)	Prec@1 51.562 (45.234)	Prec@5 80.469 (75.794)
Epoch: [53][5680/14090]	Time 0.751 (0.751)	Data 0.001 (0.002)	Loss 2.4521 (2.1670)	Prec@1 40.625 (45.236)	Prec@5 71.094 (75.795)
Epoch: [53][5690/14090]	Time 0.753 (0.751)	Data 0.001 (0.002)	Loss 2.0809 (2.1670)	Prec@1 54.688 (45.238)	Prec@5 77.344 (75.793)
Epoch: [53][5700/14090]	Time 0.753 (0.751)	Data 0.001 (0.002)	Loss 2.4274 (2.1671)	Prec@1 37.500 (45.238)	Prec@5 67.188 (75.791)
Epoch: [53][5710/14090]	Time 0.735 (0.751)	Data 0.001 (0.002)	Loss 2.0941 (2.1670)	Prec@1 48.438 (45.239)	Prec@5 75.000 (75.794)
Epoch: [53][5720/14090]	Time 0.742 (0.751)	Data 0.001 (0.002)	Loss 2.4134 (2.1672)	Prec@1 39.062 (45.234)	Prec@5 73.438 (75.790)
Epoch: [53][5730/14090]	Time 0.766 (0.751)	Data 0.001 (0.002)	Loss 2.0647 (2.1672)	Prec@1 50.000 (45.234)	Prec@5 74.219 (75.790)
Epoch: [53][5740/14090]	Time 0.725 (0.751)	Data 0.001 (0.002)	Loss 1.9303 (2.1673)	Prec@1 45.312 (45.233)	Prec@5 82.812 (75.792)
Epoch: [53][5750/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 2.1698 (2.1672)	Prec@1 43.750 (45.233)	Prec@5 79.688 (75.791)
Epoch: [53][5760/14090]	Time 0.727 (0.751)	Data 0.001 (0.002)	Loss 2.1733 (2.1671)	Prec@1 42.969 (45.233)	Prec@5 77.344 (75.792)
Epoch: [53][5770/14090]	Time 0.730 (0.751)	Data 0.001 (0.002)	Loss 2.1478 (2.1671)	Prec@1 43.750 (45.235)	Prec@5 75.000 (75.796)
Epoch: [53][5780/14090]	Time 0.768 (0.751)	Data 0.001 (0.002)	Loss 2.3085 (2.1672)	Prec@1 45.312 (45.233)	Prec@5 72.656 (75.793)
Epoch: [53][5790/14090]	Time 0.763 (0.751)	Data 0.001 (0.002)	Loss 2.2972 (2.1672)	Prec@1 40.625 (45.235)	Prec@5 72.656 (75.792)
Epoch: [53][5800/14090]	Time 0.735 (0.751)	Data 0.001 (0.002)	Loss 2.3220 (2.1672)	Prec@1 39.062 (45.234)	Prec@5 71.875 (75.793)
Epoch: [53][5810/14090]	Time 0.743 (0.751)	Data 0.001 (0.002)	Loss 2.0333 (2.1672)	Prec@1 52.344 (45.235)	Prec@5 78.906 (75.792)
Epoch: [53][5820/14090]	Time 0.775 (0.751)	Data 0.002 (0.002)	Loss 2.2888 (2.1672)	Prec@1 46.094 (45.240)	Prec@5 69.531 (75.790)
Epoch: [53][5830/14090]	Time 0.742 (0.751)	Data 0.001 (0.002)	Loss 2.2507 (2.1672)	Prec@1 41.406 (45.238)	Prec@5 73.438 (75.789)
Epoch: [53][5840/14090]	Time 0.729 (0.751)	Data 0.001 (0.002)	Loss 1.9300 (2.1673)	Prec@1 50.781 (45.237)	Prec@5 81.250 (75.789)
Epoch: [53][5850/14090]	Time 0.758 (0.751)	Data 0.001 (0.002)	Loss 2.2319 (2.1673)	Prec@1 45.312 (45.235)	Prec@5 75.000 (75.789)
Epoch: [53][5860/14090]	Time 0.768 (0.751)	Data 0.001 (0.002)	Loss 2.2023 (2.1674)	Prec@1 39.844 (45.232)	Prec@5 78.906 (75.790)
Epoch: [53][5870/14090]	Time 0.736 (0.751)	Data 0.001 (0.002)	Loss 2.0856 (2.1673)	Prec@1 44.531 (45.233)	Prec@5 78.906 (75.792)
Epoch: [53][5880/14090]	Time 0.741 (0.751)	Data 0.001 (0.002)	Loss 2.4903 (2.1673)	Prec@1 36.719 (45.234)	Prec@5 70.312 (75.792)
Epoch: [53][5890/14090]	Time 0.789 (0.751)	Data 0.001 (0.002)	Loss 2.0176 (2.1673)	Prec@1 45.312 (45.235)	Prec@5 78.906 (75.793)
Epoch: [53][5900/14090]	Time 0.746 (0.751)	Data 0.001 (0.002)	Loss 2.1370 (2.1673)	Prec@1 44.531 (45.234)	Prec@5 75.000 (75.791)
Epoch: [53][5910/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 2.0882 (2.1674)	Prec@1 47.656 (45.235)	Prec@5 76.562 (75.789)
Epoch: [53][5920/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 2.0501 (2.1674)	Prec@1 49.219 (45.237)	Prec@5 80.469 (75.788)
Epoch: [53][5930/14090]	Time 0.759 (0.751)	Data 0.001 (0.002)	Loss 2.2872 (2.1673)	Prec@1 44.531 (45.237)	Prec@5 74.219 (75.790)
Epoch: [53][5940/14090]	Time 0.737 (0.751)	Data 0.001 (0.002)	Loss 2.3802 (2.1674)	Prec@1 42.188 (45.234)	Prec@5 70.312 (75.787)
Epoch: [53][5950/14090]	Time 0.742 (0.751)	Data 0.001 (0.002)	Loss 2.1440 (2.1674)	Prec@1 39.844 (45.233)	Prec@5 74.219 (75.787)
Epoch: [53][5960/14090]	Time 0.730 (0.751)	Data 0.001 (0.002)	Loss 2.4444 (2.1674)	Prec@1 41.406 (45.231)	Prec@5 65.625 (75.785)
Epoch: [53][5970/14090]	Time 0.793 (0.751)	Data 0.001 (0.002)	Loss 2.3868 (2.1676)	Prec@1 43.750 (45.229)	Prec@5 73.438 (75.784)
Epoch: [53][5980/14090]	Time 0.734 (0.751)	Data 0.001 (0.002)	Loss 2.1290 (2.1676)	Prec@1 44.531 (45.230)	Prec@5 77.344 (75.782)
Epoch: [53][5990/14090]	Time 0.772 (0.751)	Data 0.001 (0.002)	Loss 2.1973 (2.1675)	Prec@1 46.094 (45.232)	Prec@5 75.781 (75.783)
Epoch: [53][6000/14090]	Time 0.844 (0.751)	Data 0.001 (0.002)	Loss 2.4723 (2.1676)	Prec@1 39.062 (45.231)	Prec@5 67.969 (75.780)
Epoch: [53][6010/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 1.9307 (2.1675)	Prec@1 53.906 (45.231)	Prec@5 78.906 (75.782)
Epoch: [53][6020/14090]	Time 0.750 (0.751)	Data 0.001 (0.002)	Loss 2.4001 (2.1675)	Prec@1 39.844 (45.232)	Prec@5 73.438 (75.781)
Epoch: [53][6030/14090]	Time 0.765 (0.751)	Data 0.001 (0.002)	Loss 2.1981 (2.1677)	Prec@1 45.312 (45.227)	Prec@5 74.219 (75.777)
Epoch: [53][6040/14090]	Time 0.761 (0.751)	Data 0.001 (0.002)	Loss 2.3014 (2.1677)	Prec@1 44.531 (45.224)	Prec@5 71.875 (75.778)
Epoch: [53][6050/14090]	Time 0.725 (0.751)	Data 0.001 (0.002)	Loss 2.0389 (2.1679)	Prec@1 46.875 (45.222)	Prec@5 78.125 (75.778)
Epoch: [53][6060/14090]	Time 0.756 (0.751)	Data 0.001 (0.002)	Loss 1.8552 (2.1679)	Prec@1 51.562 (45.219)	Prec@5 80.469 (75.778)
Epoch: [53][6070/14090]	Time 0.826 (0.751)	Data 0.001 (0.002)	Loss 2.0688 (2.1679)	Prec@1 47.656 (45.220)	Prec@5 73.438 (75.778)
Epoch: [53][6080/14090]	Time 0.725 (0.751)	Data 0.001 (0.002)	Loss 2.2458 (2.1678)	Prec@1 42.969 (45.224)	Prec@5 72.656 (75.779)
Epoch: [53][6090/14090]	Time 0.761 (0.751)	Data 0.001 (0.002)	Loss 2.2263 (2.1678)	Prec@1 45.312 (45.225)	Prec@5 76.562 (75.780)
Epoch: [53][6100/14090]	Time 0.735 (0.751)	Data 0.001 (0.002)	Loss 2.0164 (2.1678)	Prec@1 49.219 (45.226)	Prec@5 79.688 (75.782)
Epoch: [53][6110/14090]	Time 0.731 (0.751)	Data 0.001 (0.002)	Loss 2.0445 (2.1677)	Prec@1 50.781 (45.227)	Prec@5 75.781 (75.782)
Epoch: [53][6120/14090]	Time 0.760 (0.751)	Data 0.001 (0.002)	Loss 2.0330 (2.1676)	Prec@1 41.406 (45.226)	Prec@5 77.344 (75.785)
Epoch: [53][6130/14090]	Time 0.748 (0.751)	Data 0.001 (0.002)	Loss 2.1869 (2.1676)	Prec@1 46.875 (45.224)	Prec@5 76.562 (75.784)
Epoch: [53][6140/14090]	Time 0.729 (0.751)	Data 0.002 (0.002)	Loss 2.6101 (2.1676)	Prec@1 32.812 (45.223)	Prec@5 65.625 (75.785)
Epoch: [53][6150/14090]	Time 0.753 (0.751)	Data 0.001 (0.002)	Loss 2.0143 (2.1677)	Prec@1 45.312 (45.221)	Prec@5 78.906 (75.784)
Epoch: [53][6160/14090]	Time 0.732 (0.751)	Data 0.001 (0.002)	Loss 2.2766 (2.1679)	Prec@1 49.219 (45.220)	Prec@5 73.438 (75.780)
Epoch: [53][6170/14090]	Time 0.772 (0.751)	Data 0.001 (0.002)	Loss 2.3235 (2.1680)	Prec@1 42.969 (45.219)	Prec@5 73.438 (75.780)
Epoch: [53][6180/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 1.9864 (2.1680)	Prec@1 47.656 (45.221)	Prec@5 79.688 (75.782)
Epoch: [53][6190/14090]	Time 0.758 (0.751)	Data 0.001 (0.002)	Loss 2.0044 (2.1680)	Prec@1 50.781 (45.221)	Prec@5 75.000 (75.780)
Epoch: [53][6200/14090]	Time 0.769 (0.751)	Data 0.001 (0.002)	Loss 2.3651 (2.1680)	Prec@1 38.281 (45.222)	Prec@5 68.750 (75.782)
Epoch: [53][6210/14090]	Time 0.723 (0.751)	Data 0.001 (0.002)	Loss 2.0703 (2.1681)	Prec@1 46.094 (45.221)	Prec@5 77.344 (75.780)
Epoch: [53][6220/14090]	Time 0.766 (0.751)	Data 0.001 (0.002)	Loss 2.5418 (2.1680)	Prec@1 42.969 (45.222)	Prec@5 68.750 (75.779)
Epoch: [53][6230/14090]	Time 0.736 (0.751)	Data 0.001 (0.002)	Loss 2.2097 (2.1681)	Prec@1 44.531 (45.221)	Prec@5 73.438 (75.776)
Epoch: [53][6240/14090]	Time 0.743 (0.751)	Data 0.001 (0.002)	Loss 2.3775 (2.1682)	Prec@1 36.719 (45.219)	Prec@5 74.219 (75.772)
Epoch: [53][6250/14090]	Time 0.777 (0.751)	Data 0.001 (0.002)	Loss 2.1976 (2.1683)	Prec@1 46.875 (45.220)	Prec@5 73.438 (75.766)
Epoch: [53][6260/14090]	Time 0.752 (0.751)	Data 0.001 (0.002)	Loss 1.9442 (2.1684)	Prec@1 53.125 (45.218)	Prec@5 79.688 (75.767)
Epoch: [53][6270/14090]	Time 0.748 (0.751)	Data 0.001 (0.002)	Loss 1.9738 (2.1681)	Prec@1 48.438 (45.222)	Prec@5 83.594 (75.771)
Epoch: [53][6280/14090]	Time 0.859 (0.751)	Data 0.001 (0.002)	Loss 2.1260 (2.1681)	Prec@1 44.531 (45.224)	Prec@5 75.000 (75.772)
Epoch: [53][6290/14090]	Time 0.764 (0.751)	Data 0.001 (0.002)	Loss 2.1089 (2.1682)	Prec@1 50.781 (45.224)	Prec@5 75.781 (75.771)
Epoch: [53][6300/14090]	Time 0.754 (0.751)	Data 0.002 (0.002)	Loss 1.9293 (2.1681)	Prec@1 47.656 (45.224)	Prec@5 78.906 (75.770)
Epoch: [53][6310/14090]	Time 0.775 (0.751)	Data 0.001 (0.002)	Loss 2.1607 (2.1682)	Prec@1 40.625 (45.222)	Prec@5 75.781 (75.770)
Epoch: [53][6320/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 2.3952 (2.1682)	Prec@1 39.844 (45.221)	Prec@5 73.438 (75.770)
Epoch: [53][6330/14090]	Time 0.752 (0.751)	Data 0.001 (0.002)	Loss 2.2064 (2.1681)	Prec@1 47.656 (45.224)	Prec@5 79.688 (75.773)
Epoch: [53][6340/14090]	Time 0.728 (0.751)	Data 0.001 (0.002)	Loss 1.7825 (2.1679)	Prec@1 53.906 (45.225)	Prec@5 82.812 (75.776)
Epoch: [53][6350/14090]	Time 0.731 (0.751)	Data 0.001 (0.002)	Loss 2.2486 (2.1679)	Prec@1 41.406 (45.225)	Prec@5 76.562 (75.780)
Epoch: [53][6360/14090]	Time 0.731 (0.751)	Data 0.001 (0.002)	Loss 2.1724 (2.1679)	Prec@1 50.781 (45.225)	Prec@5 73.438 (75.780)
Epoch: [53][6370/14090]	Time 0.744 (0.751)	Data 0.001 (0.002)	Loss 2.1318 (2.1678)	Prec@1 46.094 (45.225)	Prec@5 81.250 (75.785)
Epoch: [53][6380/14090]	Time 0.742 (0.751)	Data 0.001 (0.002)	Loss 1.9421 (2.1678)	Prec@1 49.219 (45.223)	Prec@5 78.906 (75.785)
Epoch: [53][6390/14090]	Time 0.802 (0.751)	Data 0.001 (0.002)	Loss 2.1531 (2.1679)	Prec@1 50.000 (45.222)	Prec@5 75.000 (75.783)
Epoch: [53][6400/14090]	Time 0.728 (0.751)	Data 0.001 (0.002)	Loss 2.2827 (2.1680)	Prec@1 39.062 (45.223)	Prec@5 77.344 (75.783)
Epoch: [53][6410/14090]	Time 0.737 (0.751)	Data 0.001 (0.002)	Loss 2.3646 (2.1679)	Prec@1 38.281 (45.222)	Prec@5 69.531 (75.785)
Epoch: [53][6420/14090]	Time 0.799 (0.751)	Data 0.001 (0.002)	Loss 2.1042 (2.1680)	Prec@1 49.219 (45.220)	Prec@5 75.000 (75.784)
Epoch: [53][6430/14090]	Time 0.804 (0.751)	Data 0.001 (0.002)	Loss 2.5694 (2.1682)	Prec@1 38.281 (45.216)	Prec@5 65.625 (75.779)
Epoch: [53][6440/14090]	Time 0.729 (0.751)	Data 0.001 (0.002)	Loss 2.4851 (2.1683)	Prec@1 45.312 (45.214)	Prec@5 71.094 (75.778)
Epoch: [53][6450/14090]	Time 0.758 (0.751)	Data 0.001 (0.002)	Loss 2.3980 (2.1683)	Prec@1 35.938 (45.210)	Prec@5 71.875 (75.777)
Epoch: [53][6460/14090]	Time 0.731 (0.751)	Data 0.001 (0.002)	Loss 2.4237 (2.1682)	Prec@1 40.625 (45.213)	Prec@5 64.062 (75.778)
Epoch: [53][6470/14090]	Time 0.784 (0.751)	Data 0.001 (0.002)	Loss 1.7815 (2.1682)	Prec@1 53.906 (45.214)	Prec@5 84.375 (75.780)
Epoch: [53][6480/14090]	Time 0.738 (0.751)	Data 0.001 (0.002)	Loss 2.1113 (2.1682)	Prec@1 42.969 (45.213)	Prec@5 80.469 (75.778)
Epoch: [53][6490/14090]	Time 0.726 (0.751)	Data 0.001 (0.002)	Loss 2.0696 (2.1683)	Prec@1 48.438 (45.211)	Prec@5 76.562 (75.779)
Epoch: [53][6500/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 2.0113 (2.1683)	Prec@1 46.094 (45.211)	Prec@5 76.562 (75.777)
Epoch: [53][6510/14090]	Time 0.743 (0.751)	Data 0.001 (0.002)	Loss 1.8993 (2.1682)	Prec@1 55.469 (45.216)	Prec@5 79.688 (75.780)
Epoch: [53][6520/14090]	Time 0.740 (0.751)	Data 0.001 (0.002)	Loss 2.5144 (2.1683)	Prec@1 42.969 (45.215)	Prec@5 67.969 (75.778)
Epoch: [53][6530/14090]	Time 0.725 (0.751)	Data 0.001 (0.002)	Loss 1.9903 (2.1683)	Prec@1 46.875 (45.213)	Prec@5 78.906 (75.778)
Epoch: [53][6540/14090]	Time 0.725 (0.751)	Data 0.001 (0.002)	Loss 2.0744 (2.1683)	Prec@1 42.969 (45.212)	Prec@5 82.812 (75.778)
Epoch: [53][6550/14090]	Time 0.756 (0.751)	Data 0.001 (0.002)	Loss 2.0680 (2.1683)	Prec@1 46.094 (45.214)	Prec@5 78.125 (75.781)
Epoch: [53][6560/14090]	Time 0.771 (0.751)	Data 0.001 (0.002)	Loss 2.2898 (2.1684)	Prec@1 46.875 (45.212)	Prec@5 70.312 (75.779)
Epoch: [53][6570/14090]	Time 0.720 (0.751)	Data 0.001 (0.002)	Loss 2.4388 (2.1685)	Prec@1 36.719 (45.210)	Prec@5 71.875 (75.777)
Epoch: [53][6580/14090]	Time 0.758 (0.751)	Data 0.001 (0.002)	Loss 2.1634 (2.1685)	Prec@1 46.094 (45.207)	Prec@5 74.219 (75.774)
Epoch: [53][6590/14090]	Time 0.762 (0.751)	Data 0.001 (0.002)	Loss 2.1671 (2.1684)	Prec@1 51.562 (45.209)	Prec@5 75.781 (75.776)
Epoch: [53][6600/14090]	Time 0.750 (0.751)	Data 0.001 (0.002)	Loss 2.1839 (2.1684)	Prec@1 49.219 (45.208)	Prec@5 72.656 (75.775)
Epoch: [53][6610/14090]	Time 0.730 (0.751)	Data 0.001 (0.002)	Loss 2.2000 (2.1685)	Prec@1 43.750 (45.204)	Prec@5 72.656 (75.772)
Epoch: [53][6620/14090]	Time 0.764 (0.751)	Data 0.001 (0.002)	Loss 1.9998 (2.1686)	Prec@1 45.312 (45.203)	Prec@5 80.469 (75.771)
Epoch: [53][6630/14090]	Time 0.760 (0.751)	Data 0.001 (0.002)	Loss 2.4557 (2.1686)	Prec@1 39.062 (45.201)	Prec@5 72.656 (75.772)
Epoch: [53][6640/14090]	Time 0.748 (0.751)	Data 0.001 (0.002)	Loss 2.5899 (2.1686)	Prec@1 34.375 (45.201)	Prec@5 67.969 (75.773)
Epoch: [53][6650/14090]	Time 0.738 (0.751)	Data 0.001 (0.002)	Loss 2.2366 (2.1686)	Prec@1 39.844 (45.200)	Prec@5 74.219 (75.772)
Epoch: [53][6660/14090]	Time 0.752 (0.751)	Data 0.001 (0.002)	Loss 2.1688 (2.1687)	Prec@1 40.625 (45.199)	Prec@5 78.125 (75.772)
Epoch: [53][6670/14090]	Time 0.725 (0.751)	Data 0.001 (0.002)	Loss 2.3470 (2.1688)	Prec@1 34.375 (45.198)	Prec@5 75.781 (75.771)
Epoch: [53][6680/14090]	Time 0.726 (0.751)	Data 0.001 (0.002)	Loss 2.4644 (2.1688)	Prec@1 43.750 (45.198)	Prec@5 71.875 (75.773)
Epoch: [53][6690/14090]	Time 0.772 (0.751)	Data 0.001 (0.002)	Loss 2.2018 (2.1686)	Prec@1 41.406 (45.200)	Prec@5 75.781 (75.775)
Epoch: [53][6700/14090]	Time 0.750 (0.751)	Data 0.001 (0.002)	Loss 2.6015 (2.1687)	Prec@1 36.719 (45.197)	Prec@5 65.625 (75.772)
Epoch: [53][6710/14090]	Time 0.764 (0.751)	Data 0.001 (0.002)	Loss 2.1312 (2.1687)	Prec@1 49.219 (45.200)	Prec@5 71.875 (75.772)
Epoch: [53][6720/14090]	Time 0.738 (0.751)	Data 0.001 (0.002)	Loss 2.2222 (2.1688)	Prec@1 42.969 (45.199)	Prec@5 75.781 (75.773)
Epoch: [53][6730/14090]	Time 0.765 (0.751)	Data 0.001 (0.002)	Loss 2.0001 (2.1687)	Prec@1 44.531 (45.200)	Prec@5 79.688 (75.774)
Epoch: [53][6740/14090]	Time 0.746 (0.751)	Data 0.001 (0.002)	Loss 2.4989 (2.1687)	Prec@1 38.281 (45.199)	Prec@5 68.750 (75.773)
Epoch: [53][6750/14090]	Time 0.777 (0.751)	Data 0.001 (0.002)	Loss 2.2619 (2.1687)	Prec@1 38.281 (45.196)	Prec@5 75.781 (75.774)
Epoch: [53][6760/14090]	Time 0.745 (0.751)	Data 0.001 (0.002)	Loss 2.1784 (2.1688)	Prec@1 41.406 (45.195)	Prec@5 78.125 (75.773)
Epoch: [53][6770/14090]	Time 0.735 (0.751)	Data 0.001 (0.002)	Loss 2.2856 (2.1688)	Prec@1 41.406 (45.195)	Prec@5 72.656 (75.771)
Epoch: [53][6780/14090]	Time 0.761 (0.751)	Data 0.001 (0.002)	Loss 2.2426 (2.1688)	Prec@1 42.969 (45.195)	Prec@5 74.219 (75.771)
Epoch: [53][6790/14090]	Time 0.743 (0.751)	Data 0.001 (0.002)	Loss 2.5374 (2.1688)	Prec@1 42.969 (45.197)	Prec@5 67.188 (75.769)
Epoch: [53][6800/14090]	Time 0.768 (0.751)	Data 0.001 (0.002)	Loss 2.4046 (2.1687)	Prec@1 38.281 (45.199)	Prec@5 68.750 (75.771)
Epoch: [53][6810/14090]	Time 0.721 (0.751)	Data 0.001 (0.002)	Loss 1.7341 (2.1686)	Prec@1 57.031 (45.202)	Prec@5 80.469 (75.773)
Epoch: [53][6820/14090]	Time 0.768 (0.751)	Data 0.001 (0.002)	Loss 2.5868 (2.1688)	Prec@1 39.062 (45.199)	Prec@5 67.969 (75.772)
Epoch: [53][6830/14090]	Time 0.761 (0.751)	Data 0.001 (0.002)	Loss 2.2766 (2.1688)	Prec@1 44.531 (45.200)	Prec@5 73.438 (75.772)
Epoch: [53][6840/14090]	Time 0.783 (0.751)	Data 0.001 (0.002)	Loss 2.1957 (2.1686)	Prec@1 40.625 (45.203)	Prec@5 76.562 (75.773)
Epoch: [53][6850/14090]	Time 0.748 (0.751)	Data 0.001 (0.002)	Loss 2.2331 (2.1686)	Prec@1 44.531 (45.205)	Prec@5 74.219 (75.772)
Epoch: [53][6860/14090]	Time 0.749 (0.751)	Data 0.001 (0.002)	Loss 2.1368 (2.1687)	Prec@1 48.438 (45.206)	Prec@5 69.531 (75.768)
Epoch: [53][6870/14090]	Time 0.748 (0.751)	Data 0.001 (0.002)	Loss 2.1841 (2.1688)	Prec@1 47.656 (45.206)	Prec@5 73.438 (75.766)
Epoch: [53][6880/14090]	Time 0.742 (0.751)	Data 0.001 (0.002)	Loss 2.3839 (2.1689)	Prec@1 39.844 (45.202)	Prec@5 74.219 (75.763)
Epoch: [53][6890/14090]	Time 0.729 (0.751)	Data 0.001 (0.002)	Loss 2.4928 (2.1690)	Prec@1 40.625 (45.201)	Prec@5 66.406 (75.761)
Epoch: [53][6900/14090]	Time 0.734 (0.751)	Data 0.001 (0.002)	Loss 1.9580 (2.1690)	Prec@1 45.312 (45.203)	Prec@5 78.125 (75.760)
Epoch: [53][6910/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 2.2180 (2.1691)	Prec@1 43.750 (45.201)	Prec@5 75.781 (75.759)
Epoch: [53][6920/14090]	Time 0.750 (0.751)	Data 0.001 (0.002)	Loss 2.1156 (2.1691)	Prec@1 44.531 (45.201)	Prec@5 80.469 (75.757)
Epoch: [53][6930/14090]	Time 0.761 (0.751)	Data 0.001 (0.002)	Loss 2.1308 (2.1692)	Prec@1 46.094 (45.198)	Prec@5 76.562 (75.757)
Epoch: [53][6940/14090]	Time 0.774 (0.751)	Data 0.001 (0.002)	Loss 2.2454 (2.1691)	Prec@1 45.312 (45.197)	Prec@5 73.438 (75.760)
Epoch: [53][6950/14090]	Time 0.752 (0.751)	Data 0.001 (0.002)	Loss 2.2860 (2.1691)	Prec@1 45.312 (45.198)	Prec@5 71.094 (75.760)
Epoch: [53][6960/14090]	Time 0.735 (0.751)	Data 0.001 (0.002)	Loss 2.0189 (2.1691)	Prec@1 50.000 (45.198)	Prec@5 75.000 (75.761)
Epoch: [53][6970/14090]	Time 0.753 (0.751)	Data 0.001 (0.002)	Loss 2.4279 (2.1691)	Prec@1 39.844 (45.197)	Prec@5 71.094 (75.759)
Epoch: [53][6980/14090]	Time 0.727 (0.751)	Data 0.001 (0.002)	Loss 2.0202 (2.1691)	Prec@1 47.656 (45.199)	Prec@5 80.469 (75.760)
Epoch: [53][6990/14090]	Time 0.740 (0.751)	Data 0.001 (0.002)	Loss 2.2230 (2.1691)	Prec@1 45.312 (45.201)	Prec@5 76.562 (75.760)
Epoch: [53][7000/14090]	Time 0.724 (0.751)	Data 0.001 (0.002)	Loss 2.2185 (2.1691)	Prec@1 46.875 (45.201)	Prec@5 73.438 (75.759)
Epoch: [53][7010/14090]	Time 0.729 (0.751)	Data 0.001 (0.002)	Loss 2.1640 (2.1691)	Prec@1 42.188 (45.199)	Prec@5 71.875 (75.760)
Epoch: [53][7020/14090]	Time 0.727 (0.751)	Data 0.001 (0.002)	Loss 2.1284 (2.1692)	Prec@1 48.438 (45.198)	Prec@5 74.219 (75.760)
Epoch: [53][7030/14090]	Time 0.753 (0.751)	Data 0.001 (0.002)	Loss 2.0418 (2.1692)	Prec@1 45.312 (45.195)	Prec@5 80.469 (75.759)
Epoch: [53][7040/14090]	Time 0.753 (0.751)	Data 0.001 (0.002)	Loss 2.2319 (2.1691)	Prec@1 43.750 (45.199)	Prec@5 73.438 (75.761)
Epoch: [53][7050/14090]	Time 0.756 (0.751)	Data 0.001 (0.002)	Loss 2.2422 (2.1690)	Prec@1 40.625 (45.198)	Prec@5 80.469 (75.760)
Epoch: [53][7060/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 2.3687 (2.1690)	Prec@1 46.094 (45.199)	Prec@5 70.312 (75.760)
Epoch: [53][7070/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 2.2708 (2.1690)	Prec@1 46.094 (45.199)	Prec@5 74.219 (75.760)
Epoch: [53][7080/14090]	Time 0.761 (0.751)	Data 0.001 (0.002)	Loss 1.9726 (2.1691)	Prec@1 51.562 (45.200)	Prec@5 78.906 (75.761)
Epoch: [53][7090/14090]	Time 0.731 (0.751)	Data 0.001 (0.002)	Loss 2.0612 (2.1691)	Prec@1 49.219 (45.199)	Prec@5 77.344 (75.761)
Epoch: [53][7100/14090]	Time 0.765 (0.751)	Data 0.001 (0.002)	Loss 2.0592 (2.1690)	Prec@1 46.875 (45.202)	Prec@5 78.906 (75.761)
Epoch: [53][7110/14090]	Time 0.725 (0.751)	Data 0.001 (0.002)	Loss 2.3101 (2.1691)	Prec@1 39.844 (45.198)	Prec@5 73.438 (75.760)
Epoch: [53][7120/14090]	Time 0.748 (0.751)	Data 0.001 (0.002)	Loss 2.0781 (2.1690)	Prec@1 46.875 (45.199)	Prec@5 75.781 (75.763)
Epoch: [53][7130/14090]	Time 0.757 (0.751)	Data 0.001 (0.002)	Loss 2.1646 (2.1691)	Prec@1 47.656 (45.198)	Prec@5 74.219 (75.761)
Epoch: [53][7140/14090]	Time 0.723 (0.751)	Data 0.001 (0.002)	Loss 2.1149 (2.1691)	Prec@1 53.906 (45.199)	Prec@5 78.125 (75.760)
Epoch: [53][7150/14090]	Time 0.739 (0.751)	Data 0.002 (0.002)	Loss 2.1539 (2.1690)	Prec@1 48.438 (45.202)	Prec@5 78.125 (75.762)
Epoch: [53][7160/14090]	Time 0.740 (0.751)	Data 0.001 (0.002)	Loss 2.1224 (2.1690)	Prec@1 44.531 (45.201)	Prec@5 75.000 (75.762)
Epoch: [53][7170/14090]	Time 0.769 (0.751)	Data 0.001 (0.002)	Loss 2.2161 (2.1690)	Prec@1 44.531 (45.203)	Prec@5 77.344 (75.763)
Epoch: [53][7180/14090]	Time 0.751 (0.751)	Data 0.001 (0.002)	Loss 2.2875 (2.1690)	Prec@1 41.406 (45.204)	Prec@5 75.781 (75.764)
Epoch: [53][7190/14090]	Time 0.744 (0.751)	Data 0.001 (0.002)	Loss 2.2963 (2.1691)	Prec@1 41.406 (45.202)	Prec@5 72.656 (75.761)
Epoch: [53][7200/14090]	Time 0.759 (0.751)	Data 0.001 (0.002)	Loss 2.4383 (2.1692)	Prec@1 35.156 (45.202)	Prec@5 73.438 (75.761)
Epoch: [53][7210/14090]	Time 0.772 (0.751)	Data 0.001 (0.002)	Loss 2.0398 (2.1692)	Prec@1 45.312 (45.204)	Prec@5 77.344 (75.763)
Epoch: [53][7220/14090]	Time 0.731 (0.751)	Data 0.001 (0.002)	Loss 1.9943 (2.1692)	Prec@1 50.000 (45.203)	Prec@5 75.781 (75.764)
Epoch: [53][7230/14090]	Time 0.738 (0.751)	Data 0.001 (0.002)	Loss 1.9980 (2.1691)	Prec@1 46.094 (45.203)	Prec@5 80.469 (75.764)
Epoch: [53][7240/14090]	Time 0.752 (0.751)	Data 0.001 (0.002)	Loss 2.1222 (2.1692)	Prec@1 49.219 (45.201)	Prec@5 77.344 (75.764)
Epoch: [53][7250/14090]	Time 0.765 (0.751)	Data 0.001 (0.002)	Loss 2.2455 (2.1692)	Prec@1 43.750 (45.203)	Prec@5 71.875 (75.766)
Epoch: [53][7260/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 2.1953 (2.1691)	Prec@1 45.312 (45.205)	Prec@5 76.562 (75.768)
Epoch: [53][7270/14090]	Time 0.753 (0.751)	Data 0.001 (0.002)	Loss 2.3695 (2.1692)	Prec@1 42.188 (45.207)	Prec@5 75.000 (75.768)
Epoch: [53][7280/14090]	Time 0.738 (0.751)	Data 0.001 (0.002)	Loss 1.9612 (2.1691)	Prec@1 55.469 (45.209)	Prec@5 77.344 (75.769)
Epoch: [53][7290/14090]	Time 0.789 (0.751)	Data 0.001 (0.002)	Loss 1.9802 (2.1691)	Prec@1 49.219 (45.209)	Prec@5 76.562 (75.767)
Epoch: [53][7300/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 2.1215 (2.1692)	Prec@1 46.875 (45.210)	Prec@5 78.125 (75.768)
Epoch: [53][7310/14090]	Time 0.765 (0.751)	Data 0.001 (0.002)	Loss 2.1260 (2.1693)	Prec@1 46.875 (45.208)	Prec@5 79.688 (75.766)
Epoch: [53][7320/14090]	Time 0.760 (0.751)	Data 0.001 (0.002)	Loss 2.0570 (2.1693)	Prec@1 47.656 (45.207)	Prec@5 75.781 (75.765)
Epoch: [53][7330/14090]	Time 0.737 (0.751)	Data 0.001 (0.002)	Loss 2.1776 (2.1694)	Prec@1 50.781 (45.206)	Prec@5 75.000 (75.763)
Epoch: [53][7340/14090]	Time 0.745 (0.751)	Data 0.001 (0.002)	Loss 2.0579 (2.1694)	Prec@1 46.875 (45.206)	Prec@5 78.125 (75.762)
Epoch: [53][7350/14090]	Time 0.765 (0.751)	Data 0.001 (0.002)	Loss 2.1157 (2.1695)	Prec@1 46.875 (45.203)	Prec@5 76.562 (75.764)
Epoch: [53][7360/14090]	Time 0.745 (0.751)	Data 0.001 (0.002)	Loss 2.1500 (2.1695)	Prec@1 46.875 (45.200)	Prec@5 73.438 (75.763)
Epoch: [53][7370/14090]	Time 0.752 (0.751)	Data 0.001 (0.002)	Loss 2.2490 (2.1695)	Prec@1 41.406 (45.200)	Prec@5 74.219 (75.765)
Epoch: [53][7380/14090]	Time 0.762 (0.751)	Data 0.001 (0.002)	Loss 2.4622 (2.1696)	Prec@1 44.531 (45.199)	Prec@5 74.219 (75.762)
Epoch: [53][7390/14090]	Time 0.762 (0.751)	Data 0.001 (0.002)	Loss 2.2495 (2.1696)	Prec@1 45.312 (45.199)	Prec@5 71.094 (75.761)
Epoch: [53][7400/14090]	Time 0.724 (0.751)	Data 0.001 (0.002)	Loss 1.9687 (2.1696)	Prec@1 51.562 (45.199)	Prec@5 79.688 (75.762)
Epoch: [53][7410/14090]	Time 0.734 (0.751)	Data 0.001 (0.002)	Loss 2.2568 (2.1696)	Prec@1 39.844 (45.200)	Prec@5 73.438 (75.763)
Epoch: [53][7420/14090]	Time 0.761 (0.751)	Data 0.001 (0.002)	Loss 2.3067 (2.1697)	Prec@1 38.281 (45.200)	Prec@5 75.000 (75.763)
Epoch: [53][7430/14090]	Time 0.759 (0.751)	Data 0.001 (0.002)	Loss 2.0834 (2.1697)	Prec@1 44.531 (45.202)	Prec@5 75.000 (75.763)
Epoch: [53][7440/14090]	Time 0.738 (0.751)	Data 0.001 (0.002)	Loss 2.1181 (2.1697)	Prec@1 42.188 (45.200)	Prec@5 78.125 (75.763)
Epoch: [53][7450/14090]	Time 0.762 (0.751)	Data 0.001 (0.002)	Loss 2.1840 (2.1697)	Prec@1 44.531 (45.197)	Prec@5 70.312 (75.761)
Epoch: [53][7460/14090]	Time 0.735 (0.751)	Data 0.001 (0.002)	Loss 1.9418 (2.1697)	Prec@1 50.781 (45.198)	Prec@5 82.031 (75.762)
Epoch: [53][7470/14090]	Time 0.750 (0.751)	Data 0.001 (0.002)	Loss 1.9435 (2.1698)	Prec@1 46.094 (45.195)	Prec@5 78.906 (75.760)
Epoch: [53][7480/14090]	Time 0.741 (0.751)	Data 0.001 (0.002)	Loss 2.1668 (2.1699)	Prec@1 46.094 (45.197)	Prec@5 76.562 (75.758)
Epoch: [53][7490/14090]	Time 0.750 (0.751)	Data 0.001 (0.002)	Loss 2.2892 (2.1699)	Prec@1 44.531 (45.197)	Prec@5 75.000 (75.757)
Epoch: [53][7500/14090]	Time 0.757 (0.751)	Data 0.001 (0.002)	Loss 2.0470 (2.1699)	Prec@1 44.531 (45.196)	Prec@5 74.219 (75.756)
Epoch: [53][7510/14090]	Time 0.746 (0.751)	Data 0.001 (0.002)	Loss 2.3568 (2.1699)	Prec@1 44.531 (45.195)	Prec@5 71.875 (75.754)
Epoch: [53][7520/14090]	Time 0.732 (0.751)	Data 0.001 (0.002)	Loss 2.5424 (2.1700)	Prec@1 33.594 (45.193)	Prec@5 67.188 (75.753)
Epoch: [53][7530/14090]	Time 0.734 (0.751)	Data 0.001 (0.002)	Loss 2.2549 (2.1702)	Prec@1 43.750 (45.187)	Prec@5 77.344 (75.751)
Epoch: [53][7540/14090]	Time 0.764 (0.751)	Data 0.001 (0.002)	Loss 1.8769 (2.1703)	Prec@1 53.906 (45.186)	Prec@5 77.344 (75.750)
Epoch: [53][7550/14090]	Time 0.761 (0.751)	Data 0.001 (0.002)	Loss 2.0267 (2.1702)	Prec@1 45.312 (45.186)	Prec@5 82.031 (75.750)
Epoch: [53][7560/14090]	Time 0.733 (0.751)	Data 0.001 (0.002)	Loss 2.0451 (2.1701)	Prec@1 46.875 (45.190)	Prec@5 75.781 (75.751)
Epoch: [53][7570/14090]	Time 0.752 (0.751)	Data 0.001 (0.002)	Loss 2.3364 (2.1700)	Prec@1 46.875 (45.193)	Prec@5 75.781 (75.752)
Epoch: [53][7580/14090]	Time 0.767 (0.751)	Data 0.001 (0.002)	Loss 2.3632 (2.1701)	Prec@1 46.094 (45.193)	Prec@5 71.875 (75.749)
Epoch: [53][7590/14090]	Time 0.756 (0.751)	Data 0.001 (0.002)	Loss 2.2226 (2.1701)	Prec@1 36.719 (45.192)	Prec@5 78.125 (75.748)
Epoch: [53][7600/14090]	Time 0.736 (0.751)	Data 0.001 (0.002)	Loss 2.1016 (2.1702)	Prec@1 46.875 (45.192)	Prec@5 74.219 (75.744)
Epoch: [53][7610/14090]	Time 0.726 (0.751)	Data 0.001 (0.002)	Loss 2.2325 (2.1703)	Prec@1 41.406 (45.190)	Prec@5 76.562 (75.743)
Epoch: [53][7620/14090]	Time 0.770 (0.751)	Data 0.001 (0.002)	Loss 2.0849 (2.1702)	Prec@1 49.219 (45.191)	Prec@5 80.469 (75.745)
Epoch: [53][7630/14090]	Time 0.735 (0.751)	Data 0.001 (0.002)	Loss 2.1954 (2.1702)	Prec@1 43.750 (45.190)	Prec@5 76.562 (75.746)
Epoch: [53][7640/14090]	Time 0.758 (0.751)	Data 0.001 (0.002)	Loss 2.2657 (2.1701)	Prec@1 42.969 (45.191)	Prec@5 74.219 (75.747)
Epoch: [53][7650/14090]	Time 0.737 (0.751)	Data 0.001 (0.002)	Loss 1.9333 (2.1701)	Prec@1 51.562 (45.193)	Prec@5 81.250 (75.749)
Epoch: [53][7660/14090]	Time 0.742 (0.751)	Data 0.001 (0.002)	Loss 2.0744 (2.1701)	Prec@1 46.875 (45.193)	Prec@5 75.000 (75.747)
Epoch: [53][7670/14090]	Time 0.773 (0.751)	Data 0.001 (0.002)	Loss 1.8880 (2.1701)	Prec@1 47.656 (45.192)	Prec@5 84.375 (75.749)
Epoch: [53][7680/14090]	Time 0.863 (0.751)	Data 0.001 (0.002)	Loss 2.2508 (2.1701)	Prec@1 39.844 (45.192)	Prec@5 76.562 (75.748)
Epoch: [53][7690/14090]	Time 0.752 (0.751)	Data 0.001 (0.002)	Loss 2.1121 (2.1702)	Prec@1 42.969 (45.191)	Prec@5 78.125 (75.746)
Epoch: [53][7700/14090]	Time 0.732 (0.751)	Data 0.001 (0.002)	Loss 2.4136 (2.1703)	Prec@1 34.375 (45.190)	Prec@5 73.438 (75.746)
Epoch: [53][7710/14090]	Time 0.738 (0.751)	Data 0.001 (0.002)	Loss 2.1299 (2.1702)	Prec@1 45.312 (45.192)	Prec@5 75.781 (75.747)
Epoch: [53][7720/14090]	Time 0.776 (0.751)	Data 0.001 (0.002)	Loss 2.3794 (2.1704)	Prec@1 43.750 (45.188)	Prec@5 73.438 (75.744)
Epoch: [53][7730/14090]	Time 0.729 (0.751)	Data 0.001 (0.002)	Loss 2.1184 (2.1704)	Prec@1 44.531 (45.185)	Prec@5 75.000 (75.744)
Epoch: [53][7740/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 2.0286 (2.1703)	Prec@1 52.344 (45.187)	Prec@5 81.250 (75.745)
Epoch: [53][7750/14090]	Time 0.759 (0.751)	Data 0.001 (0.002)	Loss 2.1104 (2.1703)	Prec@1 48.438 (45.186)	Prec@5 79.688 (75.744)
Epoch: [53][7760/14090]	Time 0.752 (0.751)	Data 0.001 (0.002)	Loss 2.3682 (2.1705)	Prec@1 42.188 (45.183)	Prec@5 71.094 (75.740)
Epoch: [53][7770/14090]	Time 0.724 (0.751)	Data 0.001 (0.002)	Loss 2.5723 (2.1705)	Prec@1 41.406 (45.183)	Prec@5 67.188 (75.738)
Epoch: [53][7780/14090]	Time 0.760 (0.751)	Data 0.001 (0.002)	Loss 2.4347 (2.1706)	Prec@1 38.281 (45.182)	Prec@5 70.312 (75.736)
Epoch: [53][7790/14090]	Time 0.757 (0.751)	Data 0.001 (0.002)	Loss 2.2863 (2.1706)	Prec@1 43.750 (45.183)	Prec@5 72.656 (75.735)
Epoch: [53][7800/14090]	Time 0.740 (0.751)	Data 0.001 (0.002)	Loss 1.9968 (2.1707)	Prec@1 49.219 (45.180)	Prec@5 75.000 (75.733)
Epoch: [53][7810/14090]	Time 0.728 (0.751)	Data 0.001 (0.002)	Loss 2.3687 (2.1707)	Prec@1 39.844 (45.181)	Prec@5 74.219 (75.733)
Epoch: [53][7820/14090]	Time 0.794 (0.751)	Data 0.001 (0.002)	Loss 2.2573 (2.1707)	Prec@1 45.312 (45.182)	Prec@5 73.438 (75.734)
Epoch: [53][7830/14090]	Time 0.764 (0.751)	Data 0.001 (0.002)	Loss 1.8637 (2.1707)	Prec@1 44.531 (45.181)	Prec@5 82.031 (75.733)
Epoch: [53][7840/14090]	Time 0.737 (0.751)	Data 0.001 (0.002)	Loss 2.0847 (2.1708)	Prec@1 46.094 (45.179)	Prec@5 82.031 (75.731)
Epoch: [53][7850/14090]	Time 0.756 (0.751)	Data 0.001 (0.002)	Loss 1.8402 (2.1708)	Prec@1 53.125 (45.177)	Prec@5 82.812 (75.730)
Epoch: [53][7860/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 2.3337 (2.1709)	Prec@1 43.750 (45.175)	Prec@5 75.000 (75.730)
Epoch: [53][7870/14090]	Time 0.743 (0.751)	Data 0.001 (0.002)	Loss 1.9695 (2.1709)	Prec@1 50.000 (45.176)	Prec@5 77.344 (75.731)
Epoch: [53][7880/14090]	Time 0.753 (0.751)	Data 0.001 (0.002)	Loss 2.2993 (2.1709)	Prec@1 42.188 (45.177)	Prec@5 72.656 (75.731)
Epoch: [53][7890/14090]	Time 0.753 (0.751)	Data 0.001 (0.002)	Loss 2.2638 (2.1710)	Prec@1 43.750 (45.175)	Prec@5 72.656 (75.728)
Epoch: [53][7900/14090]	Time 0.780 (0.751)	Data 0.001 (0.002)	Loss 2.4840 (2.1711)	Prec@1 34.375 (45.172)	Prec@5 67.969 (75.726)
Epoch: [53][7910/14090]	Time 0.725 (0.751)	Data 0.001 (0.002)	Loss 2.2956 (2.1712)	Prec@1 37.500 (45.169)	Prec@5 75.781 (75.724)
Epoch: [53][7920/14090]	Time 0.731 (0.751)	Data 0.001 (0.002)	Loss 1.7888 (2.1711)	Prec@1 50.000 (45.171)	Prec@5 82.812 (75.727)
Epoch: [53][7930/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 2.3852 (2.1711)	Prec@1 46.094 (45.170)	Prec@5 71.875 (75.726)
Epoch: [53][7940/14090]	Time 0.789 (0.751)	Data 0.001 (0.002)	Loss 2.1621 (2.1713)	Prec@1 47.656 (45.167)	Prec@5 78.125 (75.724)
Epoch: [53][7950/14090]	Time 0.762 (0.751)	Data 0.001 (0.002)	Loss 2.1335 (2.1712)	Prec@1 48.438 (45.168)	Prec@5 81.250 (75.725)
Epoch: [53][7960/14090]	Time 0.732 (0.751)	Data 0.001 (0.002)	Loss 2.2665 (2.1713)	Prec@1 44.531 (45.168)	Prec@5 69.531 (75.722)
Epoch: [53][7970/14090]	Time 0.753 (0.751)	Data 0.001 (0.002)	Loss 2.2403 (2.1714)	Prec@1 44.531 (45.167)	Prec@5 71.875 (75.720)
Epoch: [53][7980/14090]	Time 0.756 (0.751)	Data 0.001 (0.002)	Loss 2.3789 (2.1714)	Prec@1 35.156 (45.164)	Prec@5 72.656 (75.720)
Epoch: [53][7990/14090]	Time 0.727 (0.751)	Data 0.001 (0.002)	Loss 2.2914 (2.1715)	Prec@1 48.438 (45.163)	Prec@5 70.312 (75.718)
Epoch: [53][8000/14090]	Time 0.756 (0.751)	Data 0.001 (0.002)	Loss 2.2254 (2.1716)	Prec@1 44.531 (45.160)	Prec@5 75.000 (75.716)
Epoch: [53][8010/14090]	Time 0.723 (0.751)	Data 0.001 (0.002)	Loss 2.3845 (2.1717)	Prec@1 41.406 (45.160)	Prec@5 68.750 (75.715)
Epoch: [53][8020/14090]	Time 0.735 (0.751)	Data 0.001 (0.002)	Loss 2.0262 (2.1717)	Prec@1 50.781 (45.162)	Prec@5 85.938 (75.716)
Epoch: [53][8030/14090]	Time 0.723 (0.751)	Data 0.001 (0.002)	Loss 2.0839 (2.1715)	Prec@1 46.094 (45.162)	Prec@5 78.125 (75.717)
Epoch: [53][8040/14090]	Time 0.738 (0.751)	Data 0.001 (0.002)	Loss 2.1102 (2.1715)	Prec@1 46.094 (45.164)	Prec@5 78.125 (75.717)
Epoch: [53][8050/14090]	Time 0.735 (0.751)	Data 0.002 (0.002)	Loss 2.1170 (2.1714)	Prec@1 46.875 (45.165)	Prec@5 75.000 (75.717)
Epoch: [53][8060/14090]	Time 0.779 (0.751)	Data 0.001 (0.002)	Loss 2.0458 (2.1716)	Prec@1 46.094 (45.162)	Prec@5 76.562 (75.715)
Epoch: [53][8070/14090]	Time 0.757 (0.751)	Data 0.001 (0.002)	Loss 2.0923 (2.1716)	Prec@1 46.094 (45.160)	Prec@5 72.656 (75.715)
Epoch: [53][8080/14090]	Time 0.758 (0.751)	Data 0.001 (0.002)	Loss 2.3304 (2.1715)	Prec@1 39.062 (45.162)	Prec@5 72.656 (75.716)
Epoch: [53][8090/14090]	Time 0.763 (0.751)	Data 0.001 (0.002)	Loss 2.0682 (2.1715)	Prec@1 46.094 (45.163)	Prec@5 75.781 (75.716)
Epoch: [53][8100/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 2.4439 (2.1715)	Prec@1 38.281 (45.164)	Prec@5 73.438 (75.715)
Epoch: [53][8110/14090]	Time 0.733 (0.751)	Data 0.001 (0.002)	Loss 2.1386 (2.1715)	Prec@1 43.750 (45.164)	Prec@5 75.781 (75.714)
Epoch: [53][8120/14090]	Time 0.778 (0.751)	Data 0.001 (0.002)	Loss 2.3272 (2.1716)	Prec@1 39.062 (45.160)	Prec@5 74.219 (75.713)
Epoch: [53][8130/14090]	Time 0.728 (0.751)	Data 0.001 (0.002)	Loss 1.9030 (2.1715)	Prec@1 55.469 (45.162)	Prec@5 78.125 (75.713)
Epoch: [53][8140/14090]	Time 0.738 (0.751)	Data 0.001 (0.002)	Loss 2.2474 (2.1714)	Prec@1 39.844 (45.164)	Prec@5 75.781 (75.715)
Epoch: [53][8150/14090]	Time 0.738 (0.751)	Data 0.001 (0.002)	Loss 2.3230 (2.1714)	Prec@1 35.156 (45.163)	Prec@5 75.781 (75.715)
Epoch: [53][8160/14090]	Time 0.749 (0.751)	Data 0.001 (0.002)	Loss 1.9081 (2.1714)	Prec@1 52.344 (45.163)	Prec@5 78.906 (75.714)
Epoch: [53][8170/14090]	Time 0.733 (0.751)	Data 0.001 (0.002)	Loss 2.4682 (2.1715)	Prec@1 40.625 (45.162)	Prec@5 71.875 (75.713)
Epoch: [53][8180/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 2.4438 (2.1716)	Prec@1 39.844 (45.160)	Prec@5 76.562 (75.712)
Epoch: [53][8190/14090]	Time 0.777 (0.751)	Data 0.001 (0.002)	Loss 2.1193 (2.1715)	Prec@1 44.531 (45.160)	Prec@5 78.125 (75.712)
Epoch: [53][8200/14090]	Time 0.752 (0.751)	Data 0.001 (0.002)	Loss 2.2486 (2.1716)	Prec@1 43.750 (45.158)	Prec@5 71.875 (75.710)
Epoch: [53][8210/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 2.1126 (2.1715)	Prec@1 49.219 (45.160)	Prec@5 74.219 (75.711)
Epoch: [53][8220/14090]	Time 0.761 (0.751)	Data 0.001 (0.002)	Loss 2.2269 (2.1715)	Prec@1 50.000 (45.160)	Prec@5 72.656 (75.711)
Epoch: [53][8230/14090]	Time 0.772 (0.751)	Data 0.001 (0.002)	Loss 2.1129 (2.1715)	Prec@1 47.656 (45.161)	Prec@5 77.344 (75.711)
Epoch: [53][8240/14090]	Time 0.748 (0.751)	Data 0.001 (0.002)	Loss 2.0590 (2.1715)	Prec@1 46.094 (45.160)	Prec@5 78.125 (75.710)
Epoch: [53][8250/14090]	Time 0.770 (0.751)	Data 0.001 (0.002)	Loss 2.1694 (2.1715)	Prec@1 46.875 (45.161)	Prec@5 73.438 (75.709)
Epoch: [53][8260/14090]	Time 0.771 (0.751)	Data 0.001 (0.002)	Loss 2.1107 (2.1716)	Prec@1 49.219 (45.160)	Prec@5 76.562 (75.710)
Epoch: [53][8270/14090]	Time 0.751 (0.751)	Data 0.001 (0.002)	Loss 2.4059 (2.1716)	Prec@1 39.062 (45.159)	Prec@5 67.188 (75.707)
Epoch: [53][8280/14090]	Time 0.768 (0.751)	Data 0.001 (0.002)	Loss 2.0970 (2.1716)	Prec@1 50.000 (45.158)	Prec@5 75.000 (75.708)
Epoch: [53][8290/14090]	Time 0.789 (0.751)	Data 0.001 (0.002)	Loss 2.1807 (2.1717)	Prec@1 48.438 (45.158)	Prec@5 74.219 (75.707)
Epoch: [53][8300/14090]	Time 0.742 (0.751)	Data 0.001 (0.002)	Loss 2.1833 (2.1717)	Prec@1 46.094 (45.158)	Prec@5 71.875 (75.705)
Epoch: [53][8310/14090]	Time 0.752 (0.751)	Data 0.001 (0.002)	Loss 1.9428 (2.1717)	Prec@1 49.219 (45.159)	Prec@5 78.125 (75.704)
Epoch: [53][8320/14090]	Time 0.746 (0.751)	Data 0.002 (0.002)	Loss 2.0934 (2.1717)	Prec@1 39.844 (45.159)	Prec@5 78.906 (75.704)
Epoch: [53][8330/14090]	Time 0.728 (0.751)	Data 0.001 (0.002)	Loss 1.9746 (2.1718)	Prec@1 50.000 (45.156)	Prec@5 80.469 (75.703)
Epoch: [53][8340/14090]	Time 0.733 (0.751)	Data 0.001 (0.002)	Loss 1.8026 (2.1717)	Prec@1 47.656 (45.157)	Prec@5 85.156 (75.705)
Epoch: [53][8350/14090]	Time 0.734 (0.751)	Data 0.001 (0.002)	Loss 2.1789 (2.1716)	Prec@1 48.438 (45.160)	Prec@5 75.781 (75.708)
Epoch: [53][8360/14090]	Time 0.740 (0.751)	Data 0.001 (0.002)	Loss 2.2140 (2.1716)	Prec@1 46.094 (45.161)	Prec@5 74.219 (75.707)
Epoch: [53][8370/14090]	Time 0.756 (0.751)	Data 0.001 (0.002)	Loss 2.2348 (2.1716)	Prec@1 41.406 (45.160)	Prec@5 71.094 (75.705)
Epoch: [53][8380/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 2.3097 (2.1717)	Prec@1 46.094 (45.157)	Prec@5 74.219 (75.704)
Epoch: [53][8390/14090]	Time 0.761 (0.751)	Data 0.001 (0.002)	Loss 2.3438 (2.1718)	Prec@1 36.719 (45.157)	Prec@5 71.875 (75.702)
Epoch: [53][8400/14090]	Time 0.750 (0.751)	Data 0.001 (0.002)	Loss 2.2028 (2.1718)	Prec@1 46.094 (45.157)	Prec@5 75.000 (75.702)
Epoch: [53][8410/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 2.5046 (2.1718)	Prec@1 42.188 (45.157)	Prec@5 67.969 (75.701)
Epoch: [53][8420/14090]	Time 0.726 (0.751)	Data 0.001 (0.002)	Loss 2.0887 (2.1718)	Prec@1 47.656 (45.158)	Prec@5 75.781 (75.700)
Epoch: [53][8430/14090]	Time 0.744 (0.751)	Data 0.001 (0.002)	Loss 1.9541 (2.1718)	Prec@1 46.094 (45.158)	Prec@5 75.000 (75.700)
Epoch: [53][8440/14090]	Time 0.723 (0.751)	Data 0.001 (0.002)	Loss 2.1889 (2.1718)	Prec@1 43.750 (45.159)	Prec@5 75.000 (75.700)
Epoch: [53][8450/14090]	Time 0.771 (0.751)	Data 0.001 (0.002)	Loss 2.2130 (2.1719)	Prec@1 46.094 (45.157)	Prec@5 77.344 (75.698)
Epoch: [53][8460/14090]	Time 0.725 (0.751)	Data 0.001 (0.002)	Loss 2.0841 (2.1720)	Prec@1 46.875 (45.157)	Prec@5 77.344 (75.694)
Epoch: [53][8470/14090]	Time 0.759 (0.751)	Data 0.001 (0.002)	Loss 2.0248 (2.1719)	Prec@1 45.312 (45.161)	Prec@5 81.250 (75.697)
Epoch: [53][8480/14090]	Time 0.787 (0.751)	Data 0.001 (0.002)	Loss 2.3026 (2.1720)	Prec@1 39.062 (45.157)	Prec@5 73.438 (75.695)
Epoch: [53][8490/14090]	Time 0.723 (0.751)	Data 0.001 (0.002)	Loss 1.9647 (2.1721)	Prec@1 52.344 (45.159)	Prec@5 78.906 (75.693)
Epoch: [53][8500/14090]	Time 0.765 (0.751)	Data 0.001 (0.002)	Loss 2.1459 (2.1721)	Prec@1 43.750 (45.159)	Prec@5 78.125 (75.693)
Epoch: [53][8510/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 2.1651 (2.1721)	Prec@1 42.969 (45.159)	Prec@5 77.344 (75.694)
Epoch: [53][8520/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 2.2230 (2.1721)	Prec@1 44.531 (45.159)	Prec@5 75.781 (75.694)
Epoch: [53][8530/14090]	Time 0.763 (0.751)	Data 0.001 (0.002)	Loss 1.9087 (2.1721)	Prec@1 51.562 (45.161)	Prec@5 78.906 (75.695)
Epoch: [53][8540/14090]	Time 0.756 (0.751)	Data 0.001 (0.002)	Loss 2.0508 (2.1721)	Prec@1 45.312 (45.159)	Prec@5 77.344 (75.694)
Epoch: [53][8550/14090]	Time 0.765 (0.751)	Data 0.001 (0.002)	Loss 2.3345 (2.1722)	Prec@1 44.531 (45.159)	Prec@5 71.875 (75.690)
Epoch: [53][8560/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 2.5799 (2.1723)	Prec@1 35.938 (45.157)	Prec@5 69.531 (75.688)
Epoch: [53][8570/14090]	Time 0.728 (0.751)	Data 0.001 (0.002)	Loss 2.4294 (2.1724)	Prec@1 39.062 (45.153)	Prec@5 75.000 (75.689)
Epoch: [53][8580/14090]	Time 0.762 (0.751)	Data 0.001 (0.002)	Loss 2.0620 (2.1724)	Prec@1 50.000 (45.154)	Prec@5 75.000 (75.687)
Epoch: [53][8590/14090]	Time 0.736 (0.751)	Data 0.001 (0.002)	Loss 2.2179 (2.1725)	Prec@1 40.625 (45.152)	Prec@5 70.312 (75.684)
Epoch: [53][8600/14090]	Time 0.775 (0.751)	Data 0.001 (0.002)	Loss 2.4448 (2.1725)	Prec@1 43.750 (45.151)	Prec@5 71.094 (75.683)
Epoch: [53][8610/14090]	Time 0.764 (0.751)	Data 0.001 (0.002)	Loss 2.5585 (2.1725)	Prec@1 40.625 (45.152)	Prec@5 73.438 (75.684)
Epoch: [53][8620/14090]	Time 0.730 (0.751)	Data 0.001 (0.002)	Loss 2.4753 (2.1725)	Prec@1 39.062 (45.152)	Prec@5 67.969 (75.684)
Epoch: [53][8630/14090]	Time 0.744 (0.751)	Data 0.001 (0.002)	Loss 1.9269 (2.1725)	Prec@1 50.781 (45.152)	Prec@5 77.344 (75.684)
Epoch: [53][8640/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 2.0847 (2.1725)	Prec@1 50.000 (45.156)	Prec@5 75.000 (75.683)
Epoch: [53][8650/14090]	Time 0.739 (0.751)	Data 0.001 (0.001)	Loss 2.2931 (2.1724)	Prec@1 38.281 (45.156)	Prec@5 69.531 (75.682)
Epoch: [53][8660/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 1.9840 (2.1723)	Prec@1 46.875 (45.159)	Prec@5 82.031 (75.683)
Epoch: [53][8670/14090]	Time 0.731 (0.751)	Data 0.001 (0.001)	Loss 2.2947 (2.1724)	Prec@1 44.531 (45.158)	Prec@5 71.094 (75.682)
Epoch: [53][8680/14090]	Time 0.757 (0.751)	Data 0.001 (0.001)	Loss 1.9088 (2.1723)	Prec@1 47.656 (45.157)	Prec@5 82.812 (75.683)
Epoch: [53][8690/14090]	Time 0.760 (0.751)	Data 0.001 (0.001)	Loss 1.9962 (2.1724)	Prec@1 52.344 (45.156)	Prec@5 76.562 (75.683)
Epoch: [53][8700/14090]	Time 0.733 (0.751)	Data 0.001 (0.001)	Loss 2.1306 (2.1724)	Prec@1 49.219 (45.156)	Prec@5 78.906 (75.684)
Epoch: [53][8710/14090]	Time 0.779 (0.751)	Data 0.001 (0.001)	Loss 2.2347 (2.1725)	Prec@1 42.188 (45.154)	Prec@5 71.875 (75.682)
Epoch: [53][8720/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 2.2815 (2.1726)	Prec@1 38.281 (45.150)	Prec@5 80.469 (75.680)
Epoch: [53][8730/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 2.0548 (2.1727)	Prec@1 45.312 (45.149)	Prec@5 77.344 (75.679)
Epoch: [53][8740/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 2.1536 (2.1727)	Prec@1 44.531 (45.152)	Prec@5 77.344 (75.680)
Epoch: [53][8750/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 1.7547 (2.1726)	Prec@1 51.562 (45.153)	Prec@5 83.594 (75.681)
Epoch: [53][8760/14090]	Time 0.737 (0.751)	Data 0.001 (0.001)	Loss 2.2304 (2.1726)	Prec@1 39.062 (45.150)	Prec@5 75.000 (75.682)
Epoch: [53][8770/14090]	Time 0.739 (0.751)	Data 0.001 (0.001)	Loss 2.1887 (2.1727)	Prec@1 42.188 (45.150)	Prec@5 74.219 (75.681)
Epoch: [53][8780/14090]	Time 0.733 (0.751)	Data 0.001 (0.001)	Loss 2.1366 (2.1727)	Prec@1 48.438 (45.151)	Prec@5 77.344 (75.680)
Epoch: [53][8790/14090]	Time 0.782 (0.751)	Data 0.001 (0.001)	Loss 2.1710 (2.1728)	Prec@1 47.656 (45.149)	Prec@5 75.781 (75.676)
Epoch: [53][8800/14090]	Time 0.849 (0.751)	Data 0.001 (0.001)	Loss 2.3333 (2.1729)	Prec@1 42.188 (45.149)	Prec@5 71.875 (75.675)
Epoch: [53][8810/14090]	Time 0.725 (0.751)	Data 0.001 (0.001)	Loss 2.1130 (2.1728)	Prec@1 44.531 (45.149)	Prec@5 75.000 (75.676)
Epoch: [53][8820/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 2.0873 (2.1728)	Prec@1 44.531 (45.152)	Prec@5 79.688 (75.676)
Epoch: [53][8830/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 2.2322 (2.1729)	Prec@1 44.531 (45.150)	Prec@5 74.219 (75.674)
Epoch: [53][8840/14090]	Time 0.726 (0.751)	Data 0.001 (0.001)	Loss 2.0874 (2.1729)	Prec@1 39.062 (45.148)	Prec@5 81.250 (75.673)
Epoch: [53][8850/14090]	Time 0.723 (0.751)	Data 0.001 (0.001)	Loss 1.9103 (2.1729)	Prec@1 46.094 (45.150)	Prec@5 80.469 (75.675)
Epoch: [53][8860/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.0744 (2.1729)	Prec@1 49.219 (45.150)	Prec@5 75.781 (75.674)
Epoch: [53][8870/14090]	Time 0.845 (0.751)	Data 0.001 (0.001)	Loss 1.9967 (2.1729)	Prec@1 48.438 (45.151)	Prec@5 82.812 (75.673)
Epoch: [53][8880/14090]	Time 0.766 (0.751)	Data 0.001 (0.001)	Loss 2.2924 (2.1729)	Prec@1 40.625 (45.151)	Prec@5 69.531 (75.671)
Epoch: [53][8890/14090]	Time 0.780 (0.751)	Data 0.001 (0.001)	Loss 2.0797 (2.1729)	Prec@1 50.000 (45.149)	Prec@5 74.219 (75.670)
Epoch: [53][8900/14090]	Time 0.775 (0.751)	Data 0.001 (0.001)	Loss 1.9257 (2.1728)	Prec@1 49.219 (45.154)	Prec@5 78.125 (75.671)
Epoch: [53][8910/14090]	Time 0.739 (0.751)	Data 0.001 (0.001)	Loss 2.1055 (2.1729)	Prec@1 37.500 (45.152)	Prec@5 81.250 (75.670)
Epoch: [53][8920/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 1.8633 (2.1729)	Prec@1 53.125 (45.153)	Prec@5 80.469 (75.670)
Epoch: [53][8930/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 2.2984 (2.1730)	Prec@1 43.750 (45.148)	Prec@5 73.438 (75.668)
Epoch: [53][8940/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 2.1469 (2.1730)	Prec@1 44.531 (45.147)	Prec@5 78.906 (75.666)
Epoch: [53][8950/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 2.3853 (2.1730)	Prec@1 42.969 (45.150)	Prec@5 67.969 (75.666)
Epoch: [53][8960/14090]	Time 0.764 (0.751)	Data 0.001 (0.001)	Loss 2.0538 (2.1730)	Prec@1 50.781 (45.151)	Prec@5 77.344 (75.665)
Epoch: [53][8970/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 2.1525 (2.1730)	Prec@1 48.438 (45.151)	Prec@5 78.125 (75.665)
Epoch: [53][8980/14090]	Time 0.782 (0.751)	Data 0.001 (0.001)	Loss 2.1254 (2.1729)	Prec@1 46.875 (45.154)	Prec@5 75.000 (75.666)
Epoch: [53][8990/14090]	Time 0.728 (0.751)	Data 0.001 (0.001)	Loss 1.9608 (2.1730)	Prec@1 49.219 (45.154)	Prec@5 78.906 (75.665)
Epoch: [53][9000/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 2.3152 (2.1730)	Prec@1 45.312 (45.153)	Prec@5 69.531 (75.664)
Epoch: [53][9010/14090]	Time 0.830 (0.751)	Data 0.001 (0.001)	Loss 1.7788 (2.1729)	Prec@1 50.000 (45.155)	Prec@5 83.594 (75.665)
Epoch: [53][9020/14090]	Time 0.739 (0.751)	Data 0.001 (0.001)	Loss 2.0281 (2.1728)	Prec@1 48.438 (45.158)	Prec@5 81.250 (75.665)
Epoch: [53][9030/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 2.2599 (2.1728)	Prec@1 42.188 (45.157)	Prec@5 75.000 (75.665)
Epoch: [53][9040/14090]	Time 0.734 (0.751)	Data 0.001 (0.001)	Loss 2.1684 (2.1728)	Prec@1 45.312 (45.158)	Prec@5 84.375 (75.668)
Epoch: [53][9050/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.0104 (2.1727)	Prec@1 47.656 (45.157)	Prec@5 82.812 (75.668)
Epoch: [53][9060/14090]	Time 0.785 (0.751)	Data 0.001 (0.001)	Loss 1.9224 (2.1727)	Prec@1 46.875 (45.157)	Prec@5 81.250 (75.670)
Epoch: [53][9070/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 2.2829 (2.1727)	Prec@1 42.188 (45.155)	Prec@5 74.219 (75.668)
Epoch: [53][9080/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 2.1748 (2.1727)	Prec@1 44.531 (45.154)	Prec@5 80.469 (75.669)
Epoch: [53][9090/14090]	Time 0.731 (0.751)	Data 0.001 (0.001)	Loss 1.9732 (2.1728)	Prec@1 45.312 (45.153)	Prec@5 82.031 (75.669)
Epoch: [53][9100/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 2.2212 (2.1727)	Prec@1 43.750 (45.152)	Prec@5 68.750 (75.669)
Epoch: [53][9110/14090]	Time 0.726 (0.751)	Data 0.001 (0.001)	Loss 2.2731 (2.1727)	Prec@1 43.750 (45.151)	Prec@5 75.000 (75.668)
Epoch: [53][9120/14090]	Time 0.770 (0.751)	Data 0.001 (0.001)	Loss 2.4973 (2.1728)	Prec@1 37.500 (45.151)	Prec@5 71.875 (75.667)
Epoch: [53][9130/14090]	Time 0.733 (0.751)	Data 0.001 (0.001)	Loss 2.4636 (2.1729)	Prec@1 40.625 (45.149)	Prec@5 71.875 (75.665)
Epoch: [53][9140/14090]	Time 0.742 (0.751)	Data 0.001 (0.001)	Loss 2.0105 (2.1729)	Prec@1 50.000 (45.151)	Prec@5 80.469 (75.665)
Epoch: [53][9150/14090]	Time 0.741 (0.751)	Data 0.001 (0.001)	Loss 2.3709 (2.1729)	Prec@1 39.844 (45.150)	Prec@5 73.438 (75.666)
Epoch: [53][9160/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 2.2459 (2.1729)	Prec@1 40.625 (45.148)	Prec@5 76.562 (75.666)
Epoch: [53][9170/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 2.2500 (2.1729)	Prec@1 39.062 (45.149)	Prec@5 71.875 (75.667)
Epoch: [53][9180/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 2.0633 (2.1729)	Prec@1 46.094 (45.148)	Prec@5 76.562 (75.667)
Epoch: [53][9190/14090]	Time 0.728 (0.751)	Data 0.001 (0.001)	Loss 2.2018 (2.1730)	Prec@1 46.094 (45.146)	Prec@5 72.656 (75.666)
Epoch: [53][9200/14090]	Time 0.741 (0.751)	Data 0.001 (0.001)	Loss 2.0879 (2.1730)	Prec@1 47.656 (45.145)	Prec@5 75.781 (75.665)
Epoch: [53][9210/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 2.3970 (2.1730)	Prec@1 37.500 (45.146)	Prec@5 71.875 (75.665)
Epoch: [53][9220/14090]	Time 0.733 (0.751)	Data 0.001 (0.001)	Loss 2.5326 (2.1730)	Prec@1 36.719 (45.145)	Prec@5 67.969 (75.665)
Epoch: [53][9230/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 2.2300 (2.1730)	Prec@1 53.906 (45.144)	Prec@5 78.125 (75.665)
Epoch: [53][9240/14090]	Time 0.789 (0.751)	Data 0.001 (0.001)	Loss 2.1724 (2.1730)	Prec@1 42.969 (45.144)	Prec@5 75.000 (75.667)
Epoch: [53][9250/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.1959 (2.1729)	Prec@1 50.000 (45.146)	Prec@5 76.562 (75.666)
Epoch: [53][9260/14090]	Time 0.786 (0.751)	Data 0.001 (0.001)	Loss 2.1201 (2.1730)	Prec@1 48.438 (45.147)	Prec@5 73.438 (75.664)
Epoch: [53][9270/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 2.3139 (2.1730)	Prec@1 40.625 (45.148)	Prec@5 74.219 (75.665)
Epoch: [53][9280/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 2.2296 (2.1730)	Prec@1 42.188 (45.147)	Prec@5 75.781 (75.666)
Epoch: [53][9290/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 2.1842 (2.1731)	Prec@1 50.000 (45.147)	Prec@5 74.219 (75.663)
Epoch: [53][9300/14090]	Time 0.724 (0.751)	Data 0.001 (0.001)	Loss 2.4239 (2.1731)	Prec@1 38.281 (45.146)	Prec@5 78.125 (75.664)
Epoch: [53][9310/14090]	Time 0.764 (0.751)	Data 0.001 (0.001)	Loss 2.1917 (2.1731)	Prec@1 37.500 (45.145)	Prec@5 79.688 (75.664)
Epoch: [53][9320/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 2.4662 (2.1731)	Prec@1 43.750 (45.146)	Prec@5 71.094 (75.664)
Epoch: [53][9330/14090]	Time 0.743 (0.751)	Data 0.001 (0.001)	Loss 2.1583 (2.1731)	Prec@1 41.406 (45.145)	Prec@5 76.562 (75.666)
Epoch: [53][9340/14090]	Time 0.779 (0.751)	Data 0.001 (0.001)	Loss 2.2637 (2.1731)	Prec@1 46.875 (45.147)	Prec@5 72.656 (75.666)
Epoch: [53][9350/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 2.2581 (2.1732)	Prec@1 48.438 (45.145)	Prec@5 74.219 (75.664)
Epoch: [53][9360/14090]	Time 0.764 (0.751)	Data 0.001 (0.001)	Loss 2.3150 (2.1732)	Prec@1 46.875 (45.144)	Prec@5 74.219 (75.665)
Epoch: [53][9370/14090]	Time 0.730 (0.751)	Data 0.001 (0.001)	Loss 2.1373 (2.1732)	Prec@1 46.875 (45.146)	Prec@5 69.531 (75.665)
Epoch: [53][9380/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.4506 (2.1732)	Prec@1 37.500 (45.144)	Prec@5 72.656 (75.665)
Epoch: [53][9390/14090]	Time 0.741 (0.751)	Data 0.001 (0.001)	Loss 2.2136 (2.1732)	Prec@1 42.969 (45.146)	Prec@5 73.438 (75.666)
Epoch: [53][9400/14090]	Time 0.766 (0.751)	Data 0.001 (0.001)	Loss 2.1787 (2.1732)	Prec@1 46.094 (45.146)	Prec@5 78.906 (75.667)
Epoch: [53][9410/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 2.2590 (2.1732)	Prec@1 40.625 (45.142)	Prec@5 74.219 (75.669)
Epoch: [53][9420/14090]	Time 0.742 (0.751)	Data 0.001 (0.001)	Loss 2.2591 (2.1731)	Prec@1 40.625 (45.143)	Prec@5 78.125 (75.669)
Epoch: [53][9430/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 1.9585 (2.1731)	Prec@1 46.094 (45.143)	Prec@5 80.469 (75.671)
Epoch: [53][9440/14090]	Time 0.732 (0.751)	Data 0.002 (0.001)	Loss 2.3041 (2.1731)	Prec@1 40.625 (45.141)	Prec@5 76.562 (75.671)
Epoch: [53][9450/14090]	Time 0.739 (0.751)	Data 0.001 (0.001)	Loss 2.2566 (2.1731)	Prec@1 45.312 (45.141)	Prec@5 75.000 (75.670)
Epoch: [53][9460/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 2.3136 (2.1730)	Prec@1 40.625 (45.143)	Prec@5 76.562 (75.673)
Epoch: [53][9470/14090]	Time 0.765 (0.751)	Data 0.001 (0.001)	Loss 1.8765 (2.1730)	Prec@1 46.875 (45.142)	Prec@5 82.031 (75.673)
Epoch: [53][9480/14090]	Time 0.741 (0.751)	Data 0.001 (0.001)	Loss 2.1131 (2.1731)	Prec@1 42.969 (45.140)	Prec@5 74.219 (75.671)
Epoch: [53][9490/14090]	Time 0.776 (0.751)	Data 0.001 (0.001)	Loss 2.2331 (2.1731)	Prec@1 45.312 (45.140)	Prec@5 71.094 (75.670)
Epoch: [53][9500/14090]	Time 0.727 (0.751)	Data 0.001 (0.001)	Loss 2.4738 (2.1732)	Prec@1 41.406 (45.138)	Prec@5 71.875 (75.669)
Epoch: [53][9510/14090]	Time 0.788 (0.751)	Data 0.001 (0.001)	Loss 2.2343 (2.1732)	Prec@1 45.312 (45.137)	Prec@5 69.531 (75.669)
Epoch: [53][9520/14090]	Time 0.726 (0.751)	Data 0.001 (0.001)	Loss 2.3478 (2.1733)	Prec@1 41.406 (45.135)	Prec@5 73.438 (75.668)
Epoch: [53][9530/14090]	Time 0.760 (0.751)	Data 0.001 (0.001)	Loss 2.2194 (2.1733)	Prec@1 45.312 (45.136)	Prec@5 73.438 (75.668)
Epoch: [53][9540/14090]	Time 0.734 (0.751)	Data 0.001 (0.001)	Loss 2.1133 (2.1733)	Prec@1 43.750 (45.135)	Prec@5 74.219 (75.668)
Epoch: [53][9550/14090]	Time 0.764 (0.751)	Data 0.001 (0.001)	Loss 2.1348 (2.1732)	Prec@1 52.344 (45.138)	Prec@5 75.000 (75.667)
Epoch: [53][9560/14090]	Time 0.807 (0.751)	Data 0.001 (0.001)	Loss 2.3205 (2.1733)	Prec@1 42.969 (45.137)	Prec@5 70.312 (75.666)
Epoch: [53][9570/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 2.0704 (2.1732)	Prec@1 45.312 (45.137)	Prec@5 81.250 (75.667)
Epoch: [53][9580/14090]	Time 0.788 (0.751)	Data 0.001 (0.001)	Loss 2.0979 (2.1732)	Prec@1 43.750 (45.138)	Prec@5 78.125 (75.668)
Epoch: [53][9590/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 2.3128 (2.1732)	Prec@1 41.406 (45.137)	Prec@5 75.781 (75.668)
Epoch: [53][9600/14090]	Time 0.757 (0.751)	Data 0.001 (0.001)	Loss 2.3101 (2.1731)	Prec@1 45.312 (45.138)	Prec@5 71.094 (75.670)
Epoch: [53][9610/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 2.2329 (2.1732)	Prec@1 45.312 (45.138)	Prec@5 74.219 (75.667)
Epoch: [53][9620/14090]	Time 0.724 (0.751)	Data 0.001 (0.001)	Loss 2.1605 (2.1731)	Prec@1 45.312 (45.140)	Prec@5 75.000 (75.668)
Epoch: [53][9630/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 2.1329 (2.1731)	Prec@1 44.531 (45.140)	Prec@5 71.094 (75.667)
Epoch: [53][9640/14090]	Time 0.833 (0.751)	Data 0.001 (0.001)	Loss 2.0144 (2.1731)	Prec@1 45.312 (45.142)	Prec@5 80.469 (75.668)
Epoch: [53][9650/14090]	Time 0.726 (0.751)	Data 0.001 (0.001)	Loss 1.8308 (2.1731)	Prec@1 52.344 (45.142)	Prec@5 85.156 (75.668)
Epoch: [53][9660/14090]	Time 0.728 (0.751)	Data 0.001 (0.001)	Loss 2.2140 (2.1731)	Prec@1 47.656 (45.143)	Prec@5 76.562 (75.669)
Epoch: [53][9670/14090]	Time 0.742 (0.751)	Data 0.001 (0.001)	Loss 2.1270 (2.1731)	Prec@1 44.531 (45.143)	Prec@5 78.125 (75.669)
Epoch: [53][9680/14090]	Time 0.767 (0.751)	Data 0.001 (0.001)	Loss 2.1252 (2.1730)	Prec@1 46.875 (45.143)	Prec@5 76.562 (75.669)
Epoch: [53][9690/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.2944 (2.1731)	Prec@1 38.281 (45.139)	Prec@5 78.125 (75.668)
Epoch: [53][9700/14090]	Time 0.731 (0.751)	Data 0.001 (0.001)	Loss 2.0122 (2.1730)	Prec@1 49.219 (45.140)	Prec@5 78.906 (75.670)
Epoch: [53][9710/14090]	Time 0.838 (0.751)	Data 0.001 (0.001)	Loss 2.1036 (2.1731)	Prec@1 41.406 (45.138)	Prec@5 77.344 (75.669)
Epoch: [53][9720/14090]	Time 0.739 (0.751)	Data 0.001 (0.001)	Loss 2.1972 (2.1731)	Prec@1 49.219 (45.137)	Prec@5 69.531 (75.667)
Epoch: [53][9730/14090]	Time 0.789 (0.751)	Data 0.001 (0.001)	Loss 2.2111 (2.1731)	Prec@1 37.500 (45.137)	Prec@5 78.125 (75.666)
Epoch: [53][9740/14090]	Time 0.770 (0.751)	Data 0.001 (0.001)	Loss 2.2781 (2.1732)	Prec@1 46.875 (45.138)	Prec@5 74.219 (75.665)
Epoch: [53][9750/14090]	Time 0.726 (0.751)	Data 0.001 (0.001)	Loss 2.2593 (2.1732)	Prec@1 43.750 (45.140)	Prec@5 77.344 (75.665)
Epoch: [53][9760/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 2.0477 (2.1731)	Prec@1 50.000 (45.140)	Prec@5 75.000 (75.666)
Epoch: [53][9770/14090]	Time 0.779 (0.751)	Data 0.001 (0.001)	Loss 2.0231 (2.1731)	Prec@1 49.219 (45.141)	Prec@5 79.688 (75.665)
Epoch: [53][9780/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 2.0944 (2.1731)	Prec@1 45.312 (45.142)	Prec@5 78.906 (75.666)
Epoch: [53][9790/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 2.2246 (2.1732)	Prec@1 45.312 (45.140)	Prec@5 74.219 (75.664)
Epoch: [53][9800/14090]	Time 0.747 (0.751)	Data 0.003 (0.001)	Loss 2.2693 (2.1732)	Prec@1 44.531 (45.138)	Prec@5 71.094 (75.662)
Epoch: [53][9810/14090]	Time 0.776 (0.751)	Data 0.001 (0.001)	Loss 2.3956 (2.1733)	Prec@1 39.062 (45.135)	Prec@5 71.875 (75.660)
Epoch: [53][9820/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 2.2645 (2.1734)	Prec@1 42.188 (45.135)	Prec@5 75.000 (75.660)
Epoch: [53][9830/14090]	Time 0.726 (0.751)	Data 0.001 (0.001)	Loss 1.8767 (2.1734)	Prec@1 49.219 (45.135)	Prec@5 78.906 (75.660)
Epoch: [53][9840/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 2.0422 (2.1733)	Prec@1 51.562 (45.136)	Prec@5 76.562 (75.661)
Epoch: [53][9850/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 2.4207 (2.1733)	Prec@1 42.188 (45.136)	Prec@5 69.531 (75.661)
Epoch: [53][9860/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 2.1092 (2.1734)	Prec@1 46.094 (45.136)	Prec@5 76.562 (75.658)
Epoch: [53][9870/14090]	Time 0.735 (0.751)	Data 0.002 (0.001)	Loss 2.3928 (2.1736)	Prec@1 39.062 (45.132)	Prec@5 67.969 (75.656)
Epoch: [53][9880/14090]	Time 0.759 (0.751)	Data 0.001 (0.001)	Loss 2.3743 (2.1736)	Prec@1 46.094 (45.131)	Prec@5 70.312 (75.655)
Epoch: [53][9890/14090]	Time 0.767 (0.751)	Data 0.002 (0.001)	Loss 2.1908 (2.1736)	Prec@1 50.781 (45.132)	Prec@5 72.656 (75.655)
Epoch: [53][9900/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 2.2621 (2.1735)	Prec@1 41.406 (45.131)	Prec@5 73.438 (75.656)
Epoch: [53][9910/14090]	Time 0.727 (0.751)	Data 0.002 (0.001)	Loss 1.9188 (2.1735)	Prec@1 54.688 (45.132)	Prec@5 77.344 (75.656)
Epoch: [53][9920/14090]	Time 0.734 (0.751)	Data 0.001 (0.001)	Loss 2.3967 (2.1735)	Prec@1 41.406 (45.131)	Prec@5 74.219 (75.656)
Epoch: [53][9930/14090]	Time 0.769 (0.751)	Data 0.001 (0.001)	Loss 2.0800 (2.1735)	Prec@1 45.312 (45.131)	Prec@5 76.562 (75.657)
Epoch: [53][9940/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 2.3597 (2.1736)	Prec@1 42.969 (45.131)	Prec@5 70.312 (75.656)
Epoch: [53][9950/14090]	Time 0.739 (0.751)	Data 0.001 (0.001)	Loss 2.1327 (2.1736)	Prec@1 39.844 (45.129)	Prec@5 80.469 (75.656)
Epoch: [53][9960/14090]	Time 0.765 (0.751)	Data 0.001 (0.001)	Loss 2.2251 (2.1736)	Prec@1 43.750 (45.130)	Prec@5 78.125 (75.656)
Epoch: [53][9970/14090]	Time 0.763 (0.751)	Data 0.001 (0.001)	Loss 2.3676 (2.1736)	Prec@1 39.062 (45.133)	Prec@5 72.656 (75.656)
Epoch: [53][9980/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 2.0725 (2.1736)	Prec@1 50.781 (45.132)	Prec@5 76.562 (75.656)
Epoch: [53][9990/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 2.4048 (2.1736)	Prec@1 37.500 (45.132)	Prec@5 75.000 (75.655)
Epoch: [53][10000/14090]	Time 0.759 (0.751)	Data 0.001 (0.001)	Loss 2.1484 (2.1736)	Prec@1 48.438 (45.131)	Prec@5 72.656 (75.655)
Epoch: [53][10010/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 1.8769 (2.1736)	Prec@1 45.312 (45.129)	Prec@5 82.812 (75.655)
Epoch: [53][10020/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 2.2040 (2.1736)	Prec@1 42.969 (45.132)	Prec@5 76.562 (75.656)
Epoch: [53][10030/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 2.1012 (2.1736)	Prec@1 49.219 (45.130)	Prec@5 76.562 (75.656)
Epoch: [53][10040/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 2.3143 (2.1736)	Prec@1 42.188 (45.131)	Prec@5 78.125 (75.656)
Epoch: [53][10050/14090]	Time 0.728 (0.751)	Data 0.001 (0.001)	Loss 2.5263 (2.1737)	Prec@1 39.844 (45.128)	Prec@5 71.875 (75.657)
Epoch: [53][10060/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 1.9767 (2.1735)	Prec@1 53.125 (45.131)	Prec@5 77.344 (75.659)
Epoch: [53][10070/14090]	Time 0.775 (0.751)	Data 0.001 (0.001)	Loss 2.4391 (2.1735)	Prec@1 39.844 (45.132)	Prec@5 69.531 (75.659)
Epoch: [53][10080/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 2.2048 (2.1735)	Prec@1 42.969 (45.132)	Prec@5 74.219 (75.660)
Epoch: [53][10090/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 2.2389 (2.1735)	Prec@1 46.094 (45.132)	Prec@5 72.656 (75.660)
Epoch: [53][10100/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 2.2801 (2.1736)	Prec@1 46.094 (45.131)	Prec@5 76.562 (75.660)
Epoch: [53][10110/14090]	Time 0.767 (0.751)	Data 0.001 (0.001)	Loss 2.3610 (2.1737)	Prec@1 42.969 (45.128)	Prec@5 72.656 (75.659)
Epoch: [53][10120/14090]	Time 0.775 (0.751)	Data 0.001 (0.001)	Loss 2.2806 (2.1737)	Prec@1 42.969 (45.126)	Prec@5 71.094 (75.657)
Epoch: [53][10130/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 2.3586 (2.1738)	Prec@1 39.844 (45.124)	Prec@5 71.875 (75.656)
Epoch: [53][10140/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 2.3724 (2.1738)	Prec@1 38.281 (45.124)	Prec@5 68.750 (75.654)
Epoch: [53][10150/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 2.1587 (2.1738)	Prec@1 46.875 (45.125)	Prec@5 72.656 (75.655)
Epoch: [53][10160/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 2.0444 (2.1737)	Prec@1 49.219 (45.127)	Prec@5 77.344 (75.656)
Epoch: [53][10170/14090]	Time 0.760 (0.751)	Data 0.001 (0.001)	Loss 2.3367 (2.1736)	Prec@1 44.531 (45.129)	Prec@5 71.875 (75.659)
Epoch: [53][10180/14090]	Time 0.771 (0.751)	Data 0.003 (0.001)	Loss 2.2890 (2.1737)	Prec@1 41.406 (45.128)	Prec@5 73.438 (75.658)
Epoch: [53][10190/14090]	Time 0.742 (0.751)	Data 0.001 (0.001)	Loss 2.3074 (2.1737)	Prec@1 40.625 (45.127)	Prec@5 75.000 (75.656)
Epoch: [53][10200/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 2.0807 (2.1738)	Prec@1 46.094 (45.126)	Prec@5 78.125 (75.656)
Epoch: [53][10210/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 2.0257 (2.1738)	Prec@1 43.750 (45.128)	Prec@5 76.562 (75.656)
Epoch: [53][10220/14090]	Time 0.730 (0.751)	Data 0.001 (0.001)	Loss 2.3275 (2.1738)	Prec@1 43.750 (45.126)	Prec@5 71.094 (75.654)
Epoch: [53][10230/14090]	Time 0.791 (0.751)	Data 0.001 (0.001)	Loss 2.1408 (2.1739)	Prec@1 41.406 (45.124)	Prec@5 78.906 (75.654)
Epoch: [53][10240/14090]	Time 0.770 (0.751)	Data 0.001 (0.001)	Loss 2.0634 (2.1739)	Prec@1 50.781 (45.124)	Prec@5 75.781 (75.654)
Epoch: [53][10250/14090]	Time 0.728 (0.751)	Data 0.001 (0.001)	Loss 2.1171 (2.1738)	Prec@1 42.969 (45.124)	Prec@5 78.125 (75.655)
Epoch: [53][10260/14090]	Time 0.763 (0.751)	Data 0.001 (0.001)	Loss 2.2000 (2.1738)	Prec@1 42.188 (45.124)	Prec@5 74.219 (75.653)
Epoch: [53][10270/14090]	Time 0.844 (0.751)	Data 0.001 (0.001)	Loss 2.3586 (2.1738)	Prec@1 42.969 (45.125)	Prec@5 71.094 (75.653)
Epoch: [53][10280/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 2.2756 (2.1740)	Prec@1 39.062 (45.121)	Prec@5 75.000 (75.649)
Epoch: [53][10290/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 2.0276 (2.1741)	Prec@1 48.438 (45.121)	Prec@5 75.781 (75.648)
Epoch: [53][10300/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 2.2840 (2.1741)	Prec@1 42.188 (45.118)	Prec@5 74.219 (75.646)
Epoch: [53][10310/14090]	Time 0.728 (0.751)	Data 0.001 (0.001)	Loss 2.1920 (2.1742)	Prec@1 40.625 (45.116)	Prec@5 78.906 (75.647)
Epoch: [53][10320/14090]	Time 0.764 (0.751)	Data 0.001 (0.001)	Loss 2.0766 (2.1741)	Prec@1 47.656 (45.117)	Prec@5 79.688 (75.648)
Epoch: [53][10330/14090]	Time 0.728 (0.751)	Data 0.001 (0.001)	Loss 2.2017 (2.1742)	Prec@1 46.094 (45.115)	Prec@5 74.219 (75.646)
Epoch: [53][10340/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 2.0386 (2.1742)	Prec@1 48.438 (45.117)	Prec@5 75.781 (75.646)
Epoch: [53][10350/14090]	Time 0.775 (0.751)	Data 0.001 (0.001)	Loss 2.1687 (2.1742)	Prec@1 50.781 (45.117)	Prec@5 75.781 (75.644)
Epoch: [53][10360/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 2.2856 (2.1743)	Prec@1 41.406 (45.114)	Prec@5 72.656 (75.644)
Epoch: [53][10370/14090]	Time 0.725 (0.751)	Data 0.001 (0.001)	Loss 2.2994 (2.1744)	Prec@1 39.844 (45.111)	Prec@5 74.219 (75.641)
Epoch: [53][10380/14090]	Time 0.785 (0.751)	Data 0.001 (0.001)	Loss 2.3471 (2.1744)	Prec@1 42.188 (45.109)	Prec@5 70.312 (75.640)
Epoch: [53][10390/14090]	Time 0.724 (0.751)	Data 0.001 (0.001)	Loss 2.2055 (2.1744)	Prec@1 49.219 (45.110)	Prec@5 72.656 (75.640)
Epoch: [53][10400/14090]	Time 0.763 (0.751)	Data 0.001 (0.001)	Loss 2.0542 (2.1744)	Prec@1 51.562 (45.108)	Prec@5 75.781 (75.640)
Epoch: [53][10410/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 2.0834 (2.1745)	Prec@1 51.562 (45.107)	Prec@5 75.781 (75.639)
Epoch: [53][10420/14090]	Time 0.733 (0.751)	Data 0.001 (0.001)	Loss 2.1179 (2.1744)	Prec@1 46.875 (45.108)	Prec@5 75.781 (75.638)
Epoch: [53][10430/14090]	Time 0.724 (0.751)	Data 0.001 (0.001)	Loss 2.3388 (2.1745)	Prec@1 45.312 (45.106)	Prec@5 67.969 (75.637)
Epoch: [53][10440/14090]	Time 0.729 (0.751)	Data 0.003 (0.001)	Loss 2.3507 (2.1745)	Prec@1 39.844 (45.106)	Prec@5 73.438 (75.636)
Epoch: [53][10450/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 1.9768 (2.1744)	Prec@1 50.000 (45.108)	Prec@5 77.344 (75.638)
Epoch: [53][10460/14090]	Time 0.733 (0.751)	Data 0.001 (0.001)	Loss 2.1502 (2.1745)	Prec@1 47.656 (45.108)	Prec@5 75.781 (75.637)
Epoch: [53][10470/14090]	Time 0.741 (0.751)	Data 0.001 (0.001)	Loss 2.0295 (2.1744)	Prec@1 47.656 (45.110)	Prec@5 75.781 (75.637)
Epoch: [53][10480/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 2.1064 (2.1745)	Prec@1 43.750 (45.108)	Prec@5 77.344 (75.636)
Epoch: [53][10490/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 2.0942 (2.1745)	Prec@1 45.312 (45.107)	Prec@5 76.562 (75.635)
Epoch: [53][10500/14090]	Time 0.760 (0.751)	Data 0.001 (0.001)	Loss 2.2038 (2.1745)	Prec@1 42.969 (45.108)	Prec@5 78.125 (75.636)
Epoch: [53][10510/14090]	Time 0.724 (0.751)	Data 0.001 (0.001)	Loss 2.2901 (2.1746)	Prec@1 42.969 (45.107)	Prec@5 77.344 (75.636)
Epoch: [53][10520/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 2.3131 (2.1746)	Prec@1 41.406 (45.106)	Prec@5 72.656 (75.635)
Epoch: [53][10530/14090]	Time 0.770 (0.751)	Data 0.001 (0.001)	Loss 2.0663 (2.1746)	Prec@1 46.875 (45.105)	Prec@5 80.469 (75.636)
Epoch: [53][10540/14090]	Time 0.742 (0.751)	Data 0.001 (0.001)	Loss 2.0679 (2.1746)	Prec@1 45.312 (45.105)	Prec@5 77.344 (75.637)
Epoch: [53][10550/14090]	Time 0.744 (0.751)	Data 0.004 (0.001)	Loss 2.0239 (2.1747)	Prec@1 46.875 (45.102)	Prec@5 78.125 (75.636)
Epoch: [53][10560/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 2.3143 (2.1747)	Prec@1 42.969 (45.101)	Prec@5 71.094 (75.634)
Epoch: [53][10570/14090]	Time 0.756 (0.751)	Data 0.003 (0.001)	Loss 2.3171 (2.1747)	Prec@1 42.969 (45.102)	Prec@5 68.750 (75.634)
Epoch: [53][10580/14090]	Time 0.730 (0.751)	Data 0.001 (0.001)	Loss 2.1127 (2.1748)	Prec@1 41.406 (45.098)	Prec@5 77.344 (75.633)
Epoch: [53][10590/14090]	Time 0.770 (0.751)	Data 0.001 (0.001)	Loss 2.2015 (2.1747)	Prec@1 46.875 (45.098)	Prec@5 74.219 (75.634)
Epoch: [53][10600/14090]	Time 0.743 (0.751)	Data 0.001 (0.001)	Loss 2.1298 (2.1747)	Prec@1 48.438 (45.099)	Prec@5 75.781 (75.633)
Epoch: [53][10610/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 1.9881 (2.1747)	Prec@1 50.000 (45.103)	Prec@5 75.781 (75.632)
Epoch: [53][10620/14090]	Time 0.771 (0.751)	Data 0.001 (0.001)	Loss 2.1707 (2.1746)	Prec@1 47.656 (45.104)	Prec@5 75.781 (75.633)
Epoch: [53][10630/14090]	Time 0.762 (0.751)	Data 0.001 (0.001)	Loss 2.1536 (2.1746)	Prec@1 47.656 (45.104)	Prec@5 76.562 (75.634)
Epoch: [53][10640/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 1.9665 (2.1746)	Prec@1 48.438 (45.106)	Prec@5 80.469 (75.636)
Epoch: [53][10650/14090]	Time 0.772 (0.751)	Data 0.001 (0.001)	Loss 2.3346 (2.1747)	Prec@1 42.969 (45.103)	Prec@5 69.531 (75.632)
Epoch: [53][10660/14090]	Time 0.730 (0.751)	Data 0.001 (0.001)	Loss 2.0055 (2.1748)	Prec@1 48.438 (45.100)	Prec@5 78.906 (75.630)
Epoch: [53][10670/14090]	Time 0.733 (0.751)	Data 0.001 (0.001)	Loss 2.0878 (2.1748)	Prec@1 44.531 (45.100)	Prec@5 77.344 (75.630)
Epoch: [53][10680/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 2.3474 (2.1749)	Prec@1 40.625 (45.097)	Prec@5 76.562 (75.630)
Epoch: [53][10690/14090]	Time 0.767 (0.751)	Data 0.001 (0.001)	Loss 2.1001 (2.1750)	Prec@1 43.750 (45.095)	Prec@5 77.344 (75.627)
Epoch: [53][10700/14090]	Time 0.757 (0.751)	Data 0.001 (0.001)	Loss 2.0199 (2.1749)	Prec@1 44.531 (45.095)	Prec@5 78.906 (75.629)
Epoch: [53][10710/14090]	Time 0.734 (0.751)	Data 0.001 (0.001)	Loss 2.2180 (2.1749)	Prec@1 45.312 (45.095)	Prec@5 72.656 (75.628)
Epoch: [53][10720/14090]	Time 0.763 (0.751)	Data 0.001 (0.001)	Loss 2.1547 (2.1749)	Prec@1 45.312 (45.095)	Prec@5 79.688 (75.630)
Epoch: [53][10730/14090]	Time 0.734 (0.751)	Data 0.001 (0.001)	Loss 2.1943 (2.1750)	Prec@1 42.188 (45.093)	Prec@5 78.125 (75.628)
Epoch: [53][10740/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 2.3512 (2.1751)	Prec@1 46.094 (45.091)	Prec@5 77.344 (75.626)
Epoch: [53][10750/14090]	Time 0.771 (0.751)	Data 0.001 (0.001)	Loss 2.0948 (2.1751)	Prec@1 47.656 (45.091)	Prec@5 79.688 (75.626)
Epoch: [53][10760/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 2.1765 (2.1751)	Prec@1 44.531 (45.089)	Prec@5 75.000 (75.626)
Epoch: [53][10770/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 2.0962 (2.1750)	Prec@1 46.875 (45.089)	Prec@5 77.344 (75.627)
Epoch: [53][10780/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 2.3232 (2.1750)	Prec@1 41.406 (45.090)	Prec@5 71.875 (75.627)
Epoch: [53][10790/14090]	Time 0.729 (0.751)	Data 0.002 (0.001)	Loss 2.1478 (2.1751)	Prec@1 43.750 (45.089)	Prec@5 75.781 (75.626)
Epoch: [53][10800/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 2.0202 (2.1750)	Prec@1 45.312 (45.088)	Prec@5 77.344 (75.626)
Epoch: [53][10810/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 2.2475 (2.1751)	Prec@1 47.656 (45.087)	Prec@5 68.750 (75.626)
Epoch: [53][10820/14090]	Time 0.733 (0.751)	Data 0.001 (0.001)	Loss 2.3530 (2.1751)	Prec@1 40.625 (45.085)	Prec@5 67.969 (75.624)
Epoch: [53][10830/14090]	Time 0.741 (0.751)	Data 0.001 (0.001)	Loss 2.5719 (2.1752)	Prec@1 42.188 (45.084)	Prec@5 65.625 (75.621)
Epoch: [53][10840/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 2.1182 (2.1752)	Prec@1 42.188 (45.084)	Prec@5 75.781 (75.621)
Epoch: [53][10850/14090]	Time 0.779 (0.751)	Data 0.002 (0.001)	Loss 2.3004 (2.1752)	Prec@1 41.406 (45.084)	Prec@5 77.344 (75.621)
Epoch: [53][10860/14090]	Time 0.728 (0.751)	Data 0.001 (0.001)	Loss 2.0774 (2.1752)	Prec@1 47.656 (45.083)	Prec@5 74.219 (75.622)
Epoch: [53][10870/14090]	Time 0.765 (0.751)	Data 0.001 (0.001)	Loss 2.1812 (2.1752)	Prec@1 42.969 (45.082)	Prec@5 78.906 (75.622)
Epoch: [53][10880/14090]	Time 0.729 (0.751)	Data 0.001 (0.001)	Loss 2.0522 (2.1752)	Prec@1 44.531 (45.082)	Prec@5 75.781 (75.622)
Epoch: [53][10890/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 2.4351 (2.1752)	Prec@1 46.875 (45.084)	Prec@5 75.781 (75.621)
Epoch: [53][10900/14090]	Time 0.731 (0.751)	Data 0.001 (0.001)	Loss 1.9626 (2.1752)	Prec@1 45.312 (45.082)	Prec@5 79.688 (75.620)
Epoch: [53][10910/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 2.1555 (2.1752)	Prec@1 48.438 (45.081)	Prec@5 79.688 (75.620)
Epoch: [53][10920/14090]	Time 0.729 (0.751)	Data 0.004 (0.001)	Loss 2.1580 (2.1752)	Prec@1 49.219 (45.082)	Prec@5 71.094 (75.620)
Epoch: [53][10930/14090]	Time 0.775 (0.751)	Data 0.001 (0.001)	Loss 2.3115 (2.1752)	Prec@1 39.062 (45.083)	Prec@5 75.781 (75.621)
Epoch: [53][10940/14090]	Time 0.735 (0.751)	Data 0.002 (0.001)	Loss 2.0738 (2.1752)	Prec@1 47.656 (45.084)	Prec@5 78.906 (75.621)
Epoch: [53][10950/14090]	Time 0.759 (0.751)	Data 0.001 (0.001)	Loss 2.3015 (2.1751)	Prec@1 40.625 (45.084)	Prec@5 75.781 (75.622)
Epoch: [53][10960/14090]	Time 0.761 (0.751)	Data 0.001 (0.001)	Loss 2.2148 (2.1752)	Prec@1 50.000 (45.084)	Prec@5 74.219 (75.621)
Epoch: [53][10970/14090]	Time 0.779 (0.751)	Data 0.001 (0.001)	Loss 2.0854 (2.1752)	Prec@1 43.750 (45.084)	Prec@5 78.125 (75.621)
Epoch: [53][10980/14090]	Time 0.743 (0.751)	Data 0.001 (0.001)	Loss 2.3044 (2.1752)	Prec@1 43.750 (45.083)	Prec@5 75.000 (75.621)
Epoch: [53][10990/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 2.3263 (2.1752)	Prec@1 42.188 (45.084)	Prec@5 75.000 (75.622)
Epoch: [53][11000/14090]	Time 0.769 (0.751)	Data 0.001 (0.001)	Loss 2.2439 (2.1752)	Prec@1 44.531 (45.084)	Prec@5 72.656 (75.621)
Epoch: [53][11010/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 2.4391 (2.1752)	Prec@1 48.438 (45.085)	Prec@5 76.562 (75.621)
Epoch: [53][11020/14090]	Time 0.733 (0.751)	Data 0.001 (0.001)	Loss 2.1544 (2.1752)	Prec@1 49.219 (45.084)	Prec@5 77.344 (75.621)
Epoch: [53][11030/14090]	Time 0.724 (0.751)	Data 0.001 (0.001)	Loss 2.1858 (2.1752)	Prec@1 42.969 (45.083)	Prec@5 78.906 (75.621)
Epoch: [53][11040/14090]	Time 0.737 (0.751)	Data 0.001 (0.001)	Loss 2.0097 (2.1752)	Prec@1 46.875 (45.084)	Prec@5 78.125 (75.621)
Epoch: [53][11050/14090]	Time 0.722 (0.751)	Data 0.001 (0.001)	Loss 2.4995 (2.1752)	Prec@1 41.406 (45.085)	Prec@5 69.531 (75.619)
Epoch: [53][11060/14090]	Time 0.734 (0.751)	Data 0.001 (0.001)	Loss 1.9916 (2.1752)	Prec@1 46.875 (45.084)	Prec@5 78.125 (75.619)
Epoch: [53][11070/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 2.2981 (2.1753)	Prec@1 45.312 (45.082)	Prec@5 70.312 (75.618)
Epoch: [53][11080/14090]	Time 0.740 (0.751)	Data 0.001 (0.001)	Loss 1.9180 (2.1753)	Prec@1 50.000 (45.083)	Prec@5 82.812 (75.617)
Epoch: [53][11090/14090]	Time 0.765 (0.751)	Data 0.001 (0.001)	Loss 1.9814 (2.1753)	Prec@1 46.094 (45.083)	Prec@5 75.781 (75.618)
Epoch: [53][11100/14090]	Time 0.767 (0.751)	Data 0.001 (0.001)	Loss 2.1476 (2.1753)	Prec@1 42.188 (45.083)	Prec@5 77.344 (75.618)
Epoch: [53][11110/14090]	Time 0.829 (0.751)	Data 0.001 (0.001)	Loss 2.2529 (2.1753)	Prec@1 48.438 (45.084)	Prec@5 74.219 (75.618)
Epoch: [53][11120/14090]	Time 0.729 (0.751)	Data 0.001 (0.001)	Loss 2.2163 (2.1754)	Prec@1 44.531 (45.084)	Prec@5 73.438 (75.617)
Epoch: [53][11130/14090]	Time 0.771 (0.751)	Data 0.001 (0.001)	Loss 2.1292 (2.1754)	Prec@1 51.562 (45.082)	Prec@5 73.438 (75.616)
Epoch: [53][11140/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.0341 (2.1754)	Prec@1 42.969 (45.082)	Prec@5 80.469 (75.617)
Epoch: [53][11150/14090]	Time 0.774 (0.751)	Data 0.001 (0.001)	Loss 1.9928 (2.1753)	Prec@1 48.438 (45.083)	Prec@5 79.688 (75.619)
Epoch: [53][11160/14090]	Time 0.731 (0.751)	Data 0.001 (0.001)	Loss 2.3361 (2.1753)	Prec@1 44.531 (45.083)	Prec@5 71.094 (75.619)
Epoch: [53][11170/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 2.3877 (2.1754)	Prec@1 42.969 (45.082)	Prec@5 70.312 (75.617)
Epoch: [53][11180/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 2.0452 (2.1755)	Prec@1 44.531 (45.080)	Prec@5 76.562 (75.617)
Epoch: [53][11190/14090]	Time 0.780 (0.751)	Data 0.001 (0.001)	Loss 2.1570 (2.1755)	Prec@1 42.969 (45.079)	Prec@5 75.781 (75.616)
Epoch: [53][11200/14090]	Time 0.743 (0.751)	Data 0.001 (0.001)	Loss 2.1550 (2.1754)	Prec@1 41.406 (45.079)	Prec@5 80.469 (75.618)
Epoch: [53][11210/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 2.2267 (2.1754)	Prec@1 44.531 (45.079)	Prec@5 71.875 (75.620)
Epoch: [53][11220/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 1.8418 (2.1754)	Prec@1 52.344 (45.080)	Prec@5 80.469 (75.619)
Epoch: [53][11230/14090]	Time 0.728 (0.751)	Data 0.001 (0.001)	Loss 2.1032 (2.1753)	Prec@1 42.969 (45.081)	Prec@5 75.781 (75.619)
Epoch: [53][11240/14090]	Time 0.788 (0.751)	Data 0.001 (0.001)	Loss 2.3879 (2.1754)	Prec@1 46.094 (45.081)	Prec@5 69.531 (75.618)
Epoch: [53][11250/14090]	Time 0.799 (0.751)	Data 0.001 (0.001)	Loss 2.3810 (2.1754)	Prec@1 48.438 (45.081)	Prec@5 74.219 (75.618)
Epoch: [53][11260/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.3430 (2.1754)	Prec@1 46.094 (45.079)	Prec@5 74.219 (75.618)
Epoch: [53][11270/14090]	Time 0.761 (0.751)	Data 0.001 (0.001)	Loss 2.1808 (2.1755)	Prec@1 39.844 (45.078)	Prec@5 75.781 (75.618)
Epoch: [53][11280/14090]	Time 0.740 (0.751)	Data 0.001 (0.001)	Loss 2.2176 (2.1755)	Prec@1 47.656 (45.078)	Prec@5 71.094 (75.618)
Epoch: [53][11290/14090]	Time 0.770 (0.751)	Data 0.001 (0.001)	Loss 2.0888 (2.1755)	Prec@1 48.438 (45.078)	Prec@5 75.781 (75.617)
Epoch: [53][11300/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 2.2052 (2.1755)	Prec@1 47.656 (45.078)	Prec@5 75.000 (75.619)
Epoch: [53][11310/14090]	Time 0.762 (0.751)	Data 0.001 (0.001)	Loss 2.2490 (2.1755)	Prec@1 42.969 (45.078)	Prec@5 78.906 (75.618)
Epoch: [53][11320/14090]	Time 0.766 (0.751)	Data 0.001 (0.001)	Loss 2.2269 (2.1755)	Prec@1 44.531 (45.079)	Prec@5 71.094 (75.619)
Epoch: [53][11330/14090]	Time 0.731 (0.751)	Data 0.001 (0.001)	Loss 2.2860 (2.1755)	Prec@1 48.438 (45.079)	Prec@5 72.656 (75.618)
Epoch: [53][11340/14090]	Time 0.772 (0.751)	Data 0.001 (0.001)	Loss 2.2346 (2.1755)	Prec@1 48.438 (45.078)	Prec@5 73.438 (75.618)
Epoch: [53][11350/14090]	Time 0.730 (0.751)	Data 0.001 (0.001)	Loss 2.1086 (2.1755)	Prec@1 48.438 (45.078)	Prec@5 76.562 (75.618)
Epoch: [53][11360/14090]	Time 0.734 (0.751)	Data 0.001 (0.001)	Loss 2.2706 (2.1755)	Prec@1 43.750 (45.078)	Prec@5 76.562 (75.618)
Epoch: [53][11370/14090]	Time 0.759 (0.751)	Data 0.001 (0.001)	Loss 2.3844 (2.1756)	Prec@1 46.094 (45.076)	Prec@5 71.875 (75.616)
Epoch: [53][11380/14090]	Time 0.759 (0.751)	Data 0.001 (0.001)	Loss 2.4222 (2.1756)	Prec@1 43.750 (45.074)	Prec@5 73.438 (75.617)
Epoch: [53][11390/14090]	Time 0.857 (0.751)	Data 0.001 (0.001)	Loss 1.9633 (2.1756)	Prec@1 47.656 (45.074)	Prec@5 76.562 (75.617)
Epoch: [53][11400/14090]	Time 0.741 (0.751)	Data 0.001 (0.001)	Loss 2.3267 (2.1757)	Prec@1 43.750 (45.073)	Prec@5 73.438 (75.616)
Epoch: [53][11410/14090]	Time 0.785 (0.751)	Data 0.001 (0.001)	Loss 1.9034 (2.1756)	Prec@1 49.219 (45.074)	Prec@5 82.812 (75.616)
Epoch: [53][11420/14090]	Time 0.757 (0.751)	Data 0.001 (0.001)	Loss 2.0994 (2.1756)	Prec@1 42.188 (45.076)	Prec@5 76.562 (75.617)
Epoch: [53][11430/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 2.4282 (2.1757)	Prec@1 40.625 (45.074)	Prec@5 74.219 (75.617)
Epoch: [53][11440/14090]	Time 0.723 (0.751)	Data 0.001 (0.001)	Loss 2.6141 (2.1756)	Prec@1 29.688 (45.076)	Prec@5 71.094 (75.619)
Epoch: [53][11450/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 1.9720 (2.1756)	Prec@1 48.438 (45.075)	Prec@5 79.688 (75.619)
Epoch: [53][11460/14090]	Time 0.781 (0.751)	Data 0.001 (0.001)	Loss 2.0919 (2.1755)	Prec@1 42.188 (45.076)	Prec@5 75.781 (75.621)
Epoch: [53][11470/14090]	Time 0.734 (0.751)	Data 0.001 (0.001)	Loss 2.4452 (2.1755)	Prec@1 42.188 (45.075)	Prec@5 68.750 (75.621)
Epoch: [53][11480/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.0196 (2.1755)	Prec@1 50.781 (45.075)	Prec@5 79.688 (75.620)
Epoch: [53][11490/14090]	Time 0.759 (0.751)	Data 0.001 (0.001)	Loss 2.2477 (2.1756)	Prec@1 45.312 (45.075)	Prec@5 75.781 (75.619)
Epoch: [53][11500/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 2.0891 (2.1756)	Prec@1 46.875 (45.075)	Prec@5 76.562 (75.619)
Epoch: [53][11510/14090]	Time 0.783 (0.751)	Data 0.001 (0.001)	Loss 2.0762 (2.1756)	Prec@1 50.781 (45.075)	Prec@5 80.469 (75.619)
Epoch: [53][11520/14090]	Time 0.761 (0.751)	Data 0.001 (0.001)	Loss 2.0766 (2.1756)	Prec@1 39.844 (45.075)	Prec@5 77.344 (75.620)
Epoch: [53][11530/14090]	Time 0.733 (0.751)	Data 0.001 (0.001)	Loss 2.4632 (2.1756)	Prec@1 45.312 (45.075)	Prec@5 68.750 (75.619)
Epoch: [53][11540/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 1.9669 (2.1756)	Prec@1 51.562 (45.075)	Prec@5 82.031 (75.620)
Epoch: [53][11550/14090]	Time 0.781 (0.751)	Data 0.001 (0.001)	Loss 1.9493 (2.1756)	Prec@1 50.781 (45.073)	Prec@5 79.688 (75.620)
Epoch: [53][11560/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 2.0647 (2.1756)	Prec@1 47.656 (45.076)	Prec@5 80.469 (75.622)
Epoch: [53][11570/14090]	Time 0.763 (0.751)	Data 0.001 (0.001)	Loss 2.1780 (2.1756)	Prec@1 40.625 (45.076)	Prec@5 74.219 (75.621)
Epoch: [53][11580/14090]	Time 0.720 (0.751)	Data 0.001 (0.001)	Loss 2.0591 (2.1756)	Prec@1 50.000 (45.076)	Prec@5 76.562 (75.620)
Epoch: [53][11590/14090]	Time 0.720 (0.751)	Data 0.001 (0.001)	Loss 2.4771 (2.1756)	Prec@1 39.062 (45.075)	Prec@5 77.344 (75.622)
Epoch: [53][11600/14090]	Time 0.734 (0.751)	Data 0.001 (0.001)	Loss 2.3038 (2.1756)	Prec@1 39.844 (45.076)	Prec@5 74.219 (75.623)
Epoch: [53][11610/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 2.2773 (2.1756)	Prec@1 38.281 (45.073)	Prec@5 73.438 (75.624)
Epoch: [53][11620/14090]	Time 0.730 (0.751)	Data 0.001 (0.001)	Loss 1.9229 (2.1755)	Prec@1 50.781 (45.075)	Prec@5 77.344 (75.625)
Epoch: [53][11630/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 2.3741 (2.1755)	Prec@1 38.281 (45.075)	Prec@5 76.562 (75.627)
Epoch: [53][11640/14090]	Time 0.773 (0.751)	Data 0.001 (0.001)	Loss 2.4335 (2.1755)	Prec@1 39.844 (45.074)	Prec@5 67.188 (75.627)
Epoch: [53][11650/14090]	Time 0.728 (0.751)	Data 0.001 (0.001)	Loss 2.0976 (2.1755)	Prec@1 48.438 (45.075)	Prec@5 75.781 (75.628)
Epoch: [53][11660/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 2.2144 (2.1755)	Prec@1 42.188 (45.075)	Prec@5 75.000 (75.629)
Epoch: [53][11670/14090]	Time 0.724 (0.751)	Data 0.001 (0.001)	Loss 2.2744 (2.1754)	Prec@1 44.531 (45.076)	Prec@5 74.219 (75.630)
Epoch: [53][11680/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 2.2294 (2.1755)	Prec@1 46.875 (45.075)	Prec@5 74.219 (75.629)
Epoch: [53][11690/14090]	Time 0.766 (0.751)	Data 0.001 (0.001)	Loss 2.2152 (2.1755)	Prec@1 44.531 (45.075)	Prec@5 76.562 (75.629)
Epoch: [53][11700/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.2133 (2.1755)	Prec@1 48.438 (45.075)	Prec@5 74.219 (75.629)
Epoch: [53][11710/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 2.2978 (2.1755)	Prec@1 42.188 (45.074)	Prec@5 74.219 (75.630)
Epoch: [53][11720/14090]	Time 0.725 (0.751)	Data 0.001 (0.001)	Loss 2.1769 (2.1755)	Prec@1 46.875 (45.074)	Prec@5 71.094 (75.629)
Epoch: [53][11730/14090]	Time 0.762 (0.751)	Data 0.001 (0.001)	Loss 2.1658 (2.1755)	Prec@1 48.438 (45.073)	Prec@5 76.562 (75.629)
Epoch: [53][11740/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 2.1017 (2.1755)	Prec@1 43.750 (45.073)	Prec@5 81.250 (75.632)
Epoch: [53][11750/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 2.0749 (2.1755)	Prec@1 45.312 (45.074)	Prec@5 75.781 (75.632)
Epoch: [53][11760/14090]	Time 0.768 (0.751)	Data 0.001 (0.001)	Loss 2.4590 (2.1755)	Prec@1 37.500 (45.072)	Prec@5 75.000 (75.632)
Epoch: [53][11770/14090]	Time 0.789 (0.751)	Data 0.001 (0.001)	Loss 2.2060 (2.1756)	Prec@1 43.750 (45.070)	Prec@5 71.875 (75.630)
Epoch: [53][11780/14090]	Time 0.786 (0.751)	Data 0.001 (0.001)	Loss 2.0920 (2.1756)	Prec@1 47.656 (45.069)	Prec@5 77.344 (75.631)
Epoch: [53][11790/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 2.1289 (2.1756)	Prec@1 50.000 (45.069)	Prec@5 77.344 (75.631)
Epoch: [53][11800/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 2.1535 (2.1756)	Prec@1 46.875 (45.070)	Prec@5 82.812 (75.631)
Epoch: [53][11810/14090]	Time 0.725 (0.751)	Data 0.002 (0.001)	Loss 2.1627 (2.1756)	Prec@1 51.562 (45.070)	Prec@5 79.688 (75.631)
Epoch: [53][11820/14090]	Time 0.761 (0.751)	Data 0.001 (0.001)	Loss 1.8636 (2.1756)	Prec@1 54.688 (45.071)	Prec@5 82.812 (75.632)
Epoch: [53][11830/14090]	Time 0.733 (0.751)	Data 0.001 (0.001)	Loss 2.2578 (2.1756)	Prec@1 46.875 (45.070)	Prec@5 74.219 (75.633)
Epoch: [53][11840/14090]	Time 0.728 (0.751)	Data 0.001 (0.001)	Loss 2.0182 (2.1756)	Prec@1 47.656 (45.070)	Prec@5 77.344 (75.633)
Epoch: [53][11850/14090]	Time 0.771 (0.751)	Data 0.001 (0.001)	Loss 2.4171 (2.1757)	Prec@1 37.500 (45.069)	Prec@5 75.781 (75.631)
Epoch: [53][11860/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 2.0628 (2.1757)	Prec@1 46.875 (45.067)	Prec@5 79.688 (75.631)
Epoch: [53][11870/14090]	Time 0.726 (0.751)	Data 0.001 (0.001)	Loss 2.2386 (2.1758)	Prec@1 39.844 (45.067)	Prec@5 77.344 (75.630)
Epoch: [53][11880/14090]	Time 0.861 (0.751)	Data 0.001 (0.001)	Loss 2.0394 (2.1757)	Prec@1 49.219 (45.068)	Prec@5 76.562 (75.630)
Epoch: [53][11890/14090]	Time 0.729 (0.751)	Data 0.001 (0.001)	Loss 2.2105 (2.1757)	Prec@1 44.531 (45.069)	Prec@5 76.562 (75.631)
Epoch: [53][11900/14090]	Time 0.730 (0.751)	Data 0.001 (0.001)	Loss 2.2279 (2.1757)	Prec@1 43.750 (45.068)	Prec@5 75.000 (75.632)
Epoch: [53][11910/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 2.1447 (2.1757)	Prec@1 46.875 (45.069)	Prec@5 79.688 (75.633)
Epoch: [53][11920/14090]	Time 0.737 (0.751)	Data 0.001 (0.001)	Loss 2.1857 (2.1756)	Prec@1 42.969 (45.070)	Prec@5 75.000 (75.634)
Epoch: [53][11930/14090]	Time 0.765 (0.751)	Data 0.001 (0.001)	Loss 1.7602 (2.1756)	Prec@1 47.656 (45.072)	Prec@5 82.812 (75.634)
Epoch: [53][11940/14090]	Time 0.741 (0.751)	Data 0.001 (0.001)	Loss 2.1875 (2.1755)	Prec@1 50.781 (45.074)	Prec@5 69.531 (75.636)
Epoch: [53][11950/14090]	Time 0.788 (0.751)	Data 0.001 (0.001)	Loss 2.1581 (2.1755)	Prec@1 50.000 (45.074)	Prec@5 72.656 (75.634)
Epoch: [53][11960/14090]	Time 0.761 (0.751)	Data 0.001 (0.001)	Loss 2.1601 (2.1755)	Prec@1 40.625 (45.074)	Prec@5 75.781 (75.634)
Epoch: [53][11970/14090]	Time 0.737 (0.751)	Data 0.002 (0.001)	Loss 2.1574 (2.1755)	Prec@1 43.750 (45.073)	Prec@5 80.469 (75.635)
Epoch: [53][11980/14090]	Time 0.772 (0.751)	Data 0.001 (0.001)	Loss 2.3980 (2.1756)	Prec@1 43.750 (45.071)	Prec@5 70.312 (75.632)
Epoch: [53][11990/14090]	Time 0.728 (0.751)	Data 0.001 (0.001)	Loss 2.0143 (2.1756)	Prec@1 53.906 (45.071)	Prec@5 79.688 (75.632)
Epoch: [53][12000/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.1834 (2.1757)	Prec@1 49.219 (45.071)	Prec@5 73.438 (75.631)
Epoch: [53][12010/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 1.9758 (2.1757)	Prec@1 50.781 (45.070)	Prec@5 75.000 (75.629)
Epoch: [53][12020/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 2.4045 (2.1756)	Prec@1 42.188 (45.071)	Prec@5 73.438 (75.631)
Epoch: [53][12030/14090]	Time 0.739 (0.751)	Data 0.001 (0.001)	Loss 2.2637 (2.1757)	Prec@1 44.531 (45.071)	Prec@5 74.219 (75.630)
Epoch: [53][12040/14090]	Time 0.734 (0.751)	Data 0.001 (0.001)	Loss 2.4060 (2.1757)	Prec@1 41.406 (45.070)	Prec@5 71.094 (75.630)
Epoch: [53][12050/14090]	Time 0.765 (0.751)	Data 0.001 (0.001)	Loss 2.1267 (2.1757)	Prec@1 49.219 (45.070)	Prec@5 75.000 (75.630)
Epoch: [53][12060/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.0195 (2.1757)	Prec@1 51.562 (45.070)	Prec@5 77.344 (75.628)
Epoch: [53][12070/14090]	Time 0.727 (0.751)	Data 0.001 (0.001)	Loss 2.5080 (2.1758)	Prec@1 35.938 (45.068)	Prec@5 71.875 (75.627)
Epoch: [53][12080/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 2.1591 (2.1757)	Prec@1 46.875 (45.070)	Prec@5 76.562 (75.628)
Epoch: [53][12090/14090]	Time 0.739 (0.751)	Data 0.001 (0.001)	Loss 2.0449 (2.1758)	Prec@1 50.781 (45.069)	Prec@5 78.125 (75.626)
Epoch: [53][12100/14090]	Time 0.760 (0.751)	Data 0.001 (0.001)	Loss 2.2807 (2.1758)	Prec@1 40.625 (45.068)	Prec@5 72.656 (75.626)
Epoch: [53][12110/14090]	Time 0.764 (0.751)	Data 0.001 (0.001)	Loss 2.1638 (2.1759)	Prec@1 43.750 (45.067)	Prec@5 74.219 (75.625)
Epoch: [53][12120/14090]	Time 0.761 (0.751)	Data 0.001 (0.001)	Loss 2.2904 (2.1759)	Prec@1 46.094 (45.067)	Prec@5 73.438 (75.625)
Epoch: [53][12130/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 2.2161 (2.1759)	Prec@1 45.312 (45.066)	Prec@5 77.344 (75.625)
Epoch: [53][12140/14090]	Time 0.721 (0.751)	Data 0.001 (0.001)	Loss 2.2106 (2.1759)	Prec@1 46.094 (45.067)	Prec@5 74.219 (75.626)
Epoch: [53][12150/14090]	Time 0.781 (0.751)	Data 0.001 (0.001)	Loss 2.2393 (2.1760)	Prec@1 40.625 (45.067)	Prec@5 75.781 (75.625)
Epoch: [53][12160/14090]	Time 0.850 (0.751)	Data 0.001 (0.001)	Loss 2.2362 (2.1759)	Prec@1 42.969 (45.067)	Prec@5 75.781 (75.626)
Epoch: [53][12170/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 2.1960 (2.1759)	Prec@1 40.625 (45.068)	Prec@5 76.562 (75.626)
Epoch: [53][12180/14090]	Time 0.766 (0.751)	Data 0.001 (0.001)	Loss 2.6757 (2.1759)	Prec@1 39.062 (45.067)	Prec@5 64.844 (75.625)
Epoch: [53][12190/14090]	Time 0.766 (0.751)	Data 0.001 (0.001)	Loss 1.9224 (2.1759)	Prec@1 51.562 (45.066)	Prec@5 83.594 (75.625)
Epoch: [53][12200/14090]	Time 0.760 (0.751)	Data 0.001 (0.001)	Loss 2.3528 (2.1760)	Prec@1 38.281 (45.065)	Prec@5 75.000 (75.624)
Epoch: [53][12210/14090]	Time 0.730 (0.751)	Data 0.001 (0.001)	Loss 2.2396 (2.1760)	Prec@1 42.188 (45.064)	Prec@5 72.656 (75.623)
Epoch: [53][12220/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 2.4040 (2.1759)	Prec@1 39.062 (45.064)	Prec@5 75.781 (75.626)
Epoch: [53][12230/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.3227 (2.1759)	Prec@1 45.312 (45.066)	Prec@5 71.875 (75.626)
Epoch: [53][12240/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 2.2229 (2.1759)	Prec@1 41.406 (45.066)	Prec@5 77.344 (75.625)
Epoch: [53][12250/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 2.1947 (2.1760)	Prec@1 45.312 (45.065)	Prec@5 76.562 (75.625)
Epoch: [53][12260/14090]	Time 0.729 (0.751)	Data 0.001 (0.001)	Loss 2.1953 (2.1759)	Prec@1 43.750 (45.066)	Prec@5 75.781 (75.624)
Epoch: [53][12270/14090]	Time 0.779 (0.751)	Data 0.001 (0.001)	Loss 1.9432 (2.1759)	Prec@1 51.562 (45.068)	Prec@5 79.688 (75.625)
Epoch: [53][12280/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 2.0197 (2.1759)	Prec@1 51.562 (45.068)	Prec@5 81.250 (75.626)
Epoch: [53][12290/14090]	Time 0.762 (0.751)	Data 0.001 (0.001)	Loss 2.0278 (2.1759)	Prec@1 47.656 (45.069)	Prec@5 77.344 (75.627)
Epoch: [53][12300/14090]	Time 0.858 (0.751)	Data 0.001 (0.001)	Loss 2.2451 (2.1759)	Prec@1 42.188 (45.069)	Prec@5 71.094 (75.626)
Epoch: [53][12310/14090]	Time 0.725 (0.751)	Data 0.001 (0.001)	Loss 2.2905 (2.1759)	Prec@1 38.281 (45.067)	Prec@5 72.656 (75.625)
Epoch: [53][12320/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 2.2620 (2.1760)	Prec@1 42.188 (45.067)	Prec@5 75.000 (75.625)
Epoch: [53][12330/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 2.4836 (2.1760)	Prec@1 42.969 (45.068)	Prec@5 73.438 (75.625)
Epoch: [53][12340/14090]	Time 0.767 (0.751)	Data 0.001 (0.001)	Loss 2.4027 (2.1760)	Prec@1 40.625 (45.067)	Prec@5 76.562 (75.625)
Epoch: [53][12350/14090]	Time 0.740 (0.751)	Data 0.002 (0.001)	Loss 2.1437 (2.1760)	Prec@1 46.094 (45.067)	Prec@5 76.562 (75.625)
Epoch: [53][12360/14090]	Time 0.727 (0.751)	Data 0.001 (0.001)	Loss 2.4884 (2.1761)	Prec@1 42.188 (45.066)	Prec@5 70.312 (75.623)
Epoch: [53][12370/14090]	Time 0.737 (0.751)	Data 0.001 (0.001)	Loss 2.1787 (2.1761)	Prec@1 48.438 (45.067)	Prec@5 74.219 (75.622)
Epoch: [53][12380/14090]	Time 0.741 (0.751)	Data 0.003 (0.001)	Loss 2.2997 (2.1761)	Prec@1 43.750 (45.068)	Prec@5 75.781 (75.623)
Epoch: [53][12390/14090]	Time 0.724 (0.751)	Data 0.001 (0.001)	Loss 2.3064 (2.1761)	Prec@1 40.625 (45.068)	Prec@5 71.875 (75.622)
Epoch: [53][12400/14090]	Time 0.729 (0.751)	Data 0.001 (0.001)	Loss 2.3795 (2.1761)	Prec@1 45.312 (45.068)	Prec@5 68.750 (75.621)
Epoch: [53][12410/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 2.1626 (2.1761)	Prec@1 41.406 (45.067)	Prec@5 77.344 (75.621)
Epoch: [53][12420/14090]	Time 0.733 (0.751)	Data 0.001 (0.001)	Loss 2.0413 (2.1761)	Prec@1 48.438 (45.067)	Prec@5 74.219 (75.622)
Epoch: [53][12430/14090]	Time 0.764 (0.751)	Data 0.001 (0.001)	Loss 2.2509 (2.1761)	Prec@1 44.531 (45.067)	Prec@5 73.438 (75.623)
Epoch: [53][12440/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 2.2702 (2.1760)	Prec@1 44.531 (45.068)	Prec@5 72.656 (75.623)
Epoch: [53][12450/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 2.1868 (2.1760)	Prec@1 44.531 (45.068)	Prec@5 75.000 (75.623)
Epoch: [53][12460/14090]	Time 0.760 (0.751)	Data 0.001 (0.001)	Loss 2.2100 (2.1760)	Prec@1 44.531 (45.067)	Prec@5 74.219 (75.624)
Epoch: [53][12470/14090]	Time 0.777 (0.751)	Data 0.002 (0.001)	Loss 2.1776 (2.1760)	Prec@1 41.406 (45.066)	Prec@5 75.000 (75.624)
Epoch: [53][12480/14090]	Time 0.744 (0.751)	Data 0.002 (0.001)	Loss 2.4148 (2.1760)	Prec@1 44.531 (45.066)	Prec@5 69.531 (75.624)
Epoch: [53][12490/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 2.4471 (2.1761)	Prec@1 44.531 (45.065)	Prec@5 69.531 (75.623)
Epoch: [53][12500/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 2.2273 (2.1762)	Prec@1 39.844 (45.063)	Prec@5 73.438 (75.622)
Epoch: [53][12510/14090]	Time 0.733 (0.751)	Data 0.001 (0.001)	Loss 2.4057 (2.1762)	Prec@1 41.406 (45.063)	Prec@5 76.562 (75.623)
Epoch: [53][12520/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 1.8608 (2.1761)	Prec@1 52.344 (45.065)	Prec@5 80.469 (75.624)
Epoch: [53][12530/14090]	Time 0.729 (0.751)	Data 0.001 (0.001)	Loss 2.2233 (2.1761)	Prec@1 42.188 (45.063)	Prec@5 69.531 (75.623)
Epoch: [53][12540/14090]	Time 0.786 (0.751)	Data 0.001 (0.001)	Loss 1.9430 (2.1761)	Prec@1 46.875 (45.063)	Prec@5 82.031 (75.622)
Epoch: [53][12550/14090]	Time 0.773 (0.751)	Data 0.001 (0.001)	Loss 2.2199 (2.1761)	Prec@1 48.438 (45.064)	Prec@5 79.688 (75.621)
Epoch: [53][12560/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 2.3121 (2.1761)	Prec@1 41.406 (45.064)	Prec@5 71.094 (75.623)
Epoch: [53][12570/14090]	Time 0.726 (0.751)	Data 0.001 (0.001)	Loss 2.1715 (2.1761)	Prec@1 44.531 (45.064)	Prec@5 80.469 (75.622)
Epoch: [53][12580/14090]	Time 0.739 (0.751)	Data 0.001 (0.001)	Loss 2.1394 (2.1761)	Prec@1 50.781 (45.066)	Prec@5 78.906 (75.623)
Epoch: [53][12590/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 2.3521 (2.1760)	Prec@1 41.406 (45.066)	Prec@5 75.000 (75.624)
Epoch: [53][12600/14090]	Time 0.743 (0.751)	Data 0.001 (0.001)	Loss 2.0044 (2.1760)	Prec@1 46.875 (45.068)	Prec@5 78.125 (75.625)
Epoch: [53][12610/14090]	Time 0.764 (0.751)	Data 0.001 (0.001)	Loss 2.2787 (2.1759)	Prec@1 48.438 (45.070)	Prec@5 75.781 (75.626)
Epoch: [53][12620/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 2.1212 (2.1760)	Prec@1 49.219 (45.068)	Prec@5 77.344 (75.625)
Epoch: [53][12630/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 2.0675 (2.1759)	Prec@1 42.188 (45.069)	Prec@5 78.125 (75.626)
Epoch: [53][12640/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 2.1072 (2.1760)	Prec@1 48.438 (45.069)	Prec@5 77.344 (75.626)
Epoch: [53][12650/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 2.3068 (2.1759)	Prec@1 42.969 (45.070)	Prec@5 75.000 (75.627)
Epoch: [53][12660/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.1070 (2.1759)	Prec@1 52.344 (45.071)	Prec@5 78.125 (75.627)
Epoch: [53][12670/14090]	Time 0.724 (0.751)	Data 0.001 (0.001)	Loss 2.1677 (2.1759)	Prec@1 46.094 (45.072)	Prec@5 75.000 (75.628)
Epoch: [53][12680/14090]	Time 0.760 (0.751)	Data 0.001 (0.001)	Loss 2.0351 (2.1759)	Prec@1 51.562 (45.073)	Prec@5 74.219 (75.626)
Epoch: [53][12690/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.1766 (2.1760)	Prec@1 39.062 (45.071)	Prec@5 78.906 (75.625)
Epoch: [53][12700/14090]	Time 0.733 (0.751)	Data 0.001 (0.001)	Loss 2.0926 (2.1760)	Prec@1 45.312 (45.071)	Prec@5 78.906 (75.625)
Epoch: [53][12710/14090]	Time 0.738 (0.751)	Data 0.002 (0.001)	Loss 2.1729 (2.1760)	Prec@1 45.312 (45.068)	Prec@5 73.438 (75.624)
Epoch: [53][12720/14090]	Time 0.734 (0.751)	Data 0.001 (0.001)	Loss 2.3275 (2.1760)	Prec@1 44.531 (45.070)	Prec@5 71.875 (75.624)
Epoch: [53][12730/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 2.1635 (2.1760)	Prec@1 50.000 (45.069)	Prec@5 78.906 (75.623)
Epoch: [53][12740/14090]	Time 0.759 (0.751)	Data 0.001 (0.001)	Loss 2.4262 (2.1761)	Prec@1 39.062 (45.067)	Prec@5 71.875 (75.620)
Epoch: [53][12750/14090]	Time 0.787 (0.751)	Data 0.001 (0.001)	Loss 2.3026 (2.1762)	Prec@1 39.062 (45.065)	Prec@5 71.875 (75.619)
Epoch: [53][12760/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 2.1123 (2.1761)	Prec@1 50.000 (45.066)	Prec@5 74.219 (75.620)
Epoch: [53][12770/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 2.2773 (2.1760)	Prec@1 44.531 (45.067)	Prec@5 76.562 (75.622)
Epoch: [53][12780/14090]	Time 0.742 (0.751)	Data 0.001 (0.001)	Loss 2.4444 (2.1761)	Prec@1 36.719 (45.067)	Prec@5 74.219 (75.620)
Epoch: [53][12790/14090]	Time 0.822 (0.751)	Data 0.001 (0.001)	Loss 2.0481 (2.1761)	Prec@1 45.312 (45.066)	Prec@5 80.469 (75.620)
Epoch: [53][12800/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 2.0590 (2.1761)	Prec@1 47.656 (45.067)	Prec@5 77.344 (75.620)
Epoch: [53][12810/14090]	Time 0.759 (0.751)	Data 0.001 (0.001)	Loss 2.1078 (2.1762)	Prec@1 49.219 (45.066)	Prec@5 81.250 (75.619)
Epoch: [53][12820/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 2.3052 (2.1762)	Prec@1 46.094 (45.066)	Prec@5 75.000 (75.619)
Epoch: [53][12830/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 2.2981 (2.1762)	Prec@1 39.844 (45.064)	Prec@5 76.562 (75.618)
Epoch: [53][12840/14090]	Time 0.759 (0.751)	Data 0.001 (0.001)	Loss 2.0387 (2.1762)	Prec@1 43.750 (45.065)	Prec@5 81.250 (75.618)
Epoch: [53][12850/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 2.2704 (2.1762)	Prec@1 37.500 (45.063)	Prec@5 71.875 (75.618)
Epoch: [53][12860/14090]	Time 0.761 (0.751)	Data 0.001 (0.001)	Loss 2.4241 (2.1763)	Prec@1 36.719 (45.061)	Prec@5 71.094 (75.616)
Epoch: [53][12870/14090]	Time 0.726 (0.751)	Data 0.001 (0.001)	Loss 1.9770 (2.1763)	Prec@1 53.125 (45.061)	Prec@5 78.125 (75.614)
Epoch: [53][12880/14090]	Time 0.731 (0.751)	Data 0.001 (0.001)	Loss 2.0601 (2.1763)	Prec@1 44.531 (45.062)	Prec@5 75.000 (75.616)
Epoch: [53][12890/14090]	Time 0.728 (0.751)	Data 0.001 (0.001)	Loss 1.9457 (2.1762)	Prec@1 51.562 (45.062)	Prec@5 82.812 (75.618)
Epoch: [53][12900/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 2.1638 (2.1763)	Prec@1 44.531 (45.060)	Prec@5 70.312 (75.615)
Epoch: [53][12910/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 2.2495 (2.1764)	Prec@1 35.938 (45.058)	Prec@5 76.562 (75.616)
Epoch: [53][12920/14090]	Time 0.771 (0.751)	Data 0.001 (0.001)	Loss 2.2176 (2.1764)	Prec@1 48.438 (45.058)	Prec@5 76.562 (75.616)
Epoch: [53][12930/14090]	Time 0.737 (0.751)	Data 0.001 (0.001)	Loss 2.2522 (2.1764)	Prec@1 42.188 (45.057)	Prec@5 76.562 (75.616)
Epoch: [53][12940/14090]	Time 0.769 (0.751)	Data 0.001 (0.001)	Loss 1.9360 (2.1764)	Prec@1 52.344 (45.058)	Prec@5 78.125 (75.615)
Epoch: [53][12950/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 2.1212 (2.1764)	Prec@1 46.094 (45.058)	Prec@5 77.344 (75.615)
Epoch: [53][12960/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 2.2374 (2.1765)	Prec@1 39.062 (45.057)	Prec@5 74.219 (75.614)
Epoch: [53][12970/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 1.9955 (2.1764)	Prec@1 50.781 (45.058)	Prec@5 72.656 (75.615)
Epoch: [53][12980/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 2.3900 (2.1764)	Prec@1 42.969 (45.059)	Prec@5 70.312 (75.615)
Epoch: [53][12990/14090]	Time 0.725 (0.751)	Data 0.001 (0.001)	Loss 2.2572 (2.1764)	Prec@1 46.094 (45.060)	Prec@5 71.875 (75.615)
Epoch: [53][13000/14090]	Time 0.760 (0.751)	Data 0.001 (0.001)	Loss 2.0216 (2.1763)	Prec@1 50.781 (45.062)	Prec@5 78.906 (75.617)
Epoch: [53][13010/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 2.0817 (2.1763)	Prec@1 50.781 (45.061)	Prec@5 78.906 (75.617)
Epoch: [53][13020/14090]	Time 0.731 (0.751)	Data 0.001 (0.001)	Loss 2.4751 (2.1763)	Prec@1 39.062 (45.062)	Prec@5 64.844 (75.616)
Epoch: [53][13030/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 2.3963 (2.1763)	Prec@1 44.531 (45.063)	Prec@5 71.094 (75.617)
Epoch: [53][13040/14090]	Time 0.787 (0.751)	Data 0.001 (0.001)	Loss 2.1048 (2.1763)	Prec@1 42.188 (45.062)	Prec@5 72.656 (75.615)
Epoch: [53][13050/14090]	Time 0.761 (0.751)	Data 0.001 (0.001)	Loss 2.4083 (2.1764)	Prec@1 40.625 (45.061)	Prec@5 69.531 (75.614)
Epoch: [53][13060/14090]	Time 0.778 (0.751)	Data 0.001 (0.001)	Loss 2.1716 (2.1764)	Prec@1 46.875 (45.060)	Prec@5 74.219 (75.613)
Epoch: [53][13070/14090]	Time 0.724 (0.751)	Data 0.001 (0.001)	Loss 2.3704 (2.1764)	Prec@1 39.844 (45.059)	Prec@5 71.094 (75.613)
Epoch: [53][13080/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 2.5885 (2.1765)	Prec@1 39.062 (45.058)	Prec@5 68.750 (75.610)
Epoch: [53][13090/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 2.2968 (2.1765)	Prec@1 50.000 (45.059)	Prec@5 73.438 (75.610)
Epoch: [53][13100/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 2.2323 (2.1765)	Prec@1 43.750 (45.060)	Prec@5 72.656 (75.611)
Epoch: [53][13110/14090]	Time 0.724 (0.751)	Data 0.001 (0.001)	Loss 2.1079 (2.1765)	Prec@1 45.312 (45.059)	Prec@5 77.344 (75.610)
Epoch: [53][13120/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 2.1689 (2.1765)	Prec@1 41.406 (45.059)	Prec@5 76.562 (75.610)
Epoch: [53][13130/14090]	Time 0.759 (0.751)	Data 0.001 (0.001)	Loss 2.0849 (2.1764)	Prec@1 49.219 (45.061)	Prec@5 78.125 (75.612)
Epoch: [53][13140/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.2343 (2.1764)	Prec@1 50.000 (45.060)	Prec@5 72.656 (75.611)
Epoch: [53][13150/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 2.0004 (2.1764)	Prec@1 45.312 (45.061)	Prec@5 77.344 (75.612)
Epoch: [53][13160/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.1909 (2.1764)	Prec@1 46.094 (45.061)	Prec@5 76.562 (75.612)
Epoch: [53][13170/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 2.1624 (2.1764)	Prec@1 46.875 (45.063)	Prec@5 73.438 (75.613)
Epoch: [53][13180/14090]	Time 0.741 (0.751)	Data 0.001 (0.001)	Loss 2.4556 (2.1764)	Prec@1 39.844 (45.063)	Prec@5 69.531 (75.612)
Epoch: [53][13190/14090]	Time 0.724 (0.751)	Data 0.001 (0.001)	Loss 2.1549 (2.1764)	Prec@1 48.438 (45.063)	Prec@5 72.656 (75.612)
Epoch: [53][13200/14090]	Time 0.739 (0.751)	Data 0.001 (0.001)	Loss 2.1331 (2.1764)	Prec@1 47.656 (45.064)	Prec@5 78.125 (75.612)
Epoch: [53][13210/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 2.1949 (2.1764)	Prec@1 46.875 (45.063)	Prec@5 71.875 (75.612)
Epoch: [53][13220/14090]	Time 0.765 (0.751)	Data 0.001 (0.001)	Loss 2.1138 (2.1764)	Prec@1 42.969 (45.064)	Prec@5 78.906 (75.613)
Epoch: [53][13230/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 2.2433 (2.1764)	Prec@1 43.750 (45.063)	Prec@5 75.781 (75.612)
Epoch: [53][13240/14090]	Time 0.780 (0.751)	Data 0.001 (0.001)	Loss 1.9978 (2.1764)	Prec@1 46.094 (45.063)	Prec@5 83.594 (75.613)
Epoch: [53][13250/14090]	Time 0.726 (0.751)	Data 0.001 (0.001)	Loss 2.0666 (2.1763)	Prec@1 48.438 (45.065)	Prec@5 79.688 (75.614)
Epoch: [53][13260/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 2.2055 (2.1763)	Prec@1 45.312 (45.063)	Prec@5 74.219 (75.614)
Epoch: [53][13270/14090]	Time 0.757 (0.751)	Data 0.001 (0.001)	Loss 2.4074 (2.1764)	Prec@1 40.625 (45.063)	Prec@5 75.000 (75.614)
Epoch: [53][13280/14090]	Time 0.832 (0.751)	Data 0.002 (0.001)	Loss 1.9443 (2.1763)	Prec@1 51.562 (45.064)	Prec@5 80.469 (75.614)
Epoch: [53][13290/14090]	Time 0.729 (0.751)	Data 0.001 (0.001)	Loss 2.1292 (2.1764)	Prec@1 49.219 (45.064)	Prec@5 76.562 (75.613)
Epoch: [53][13300/14090]	Time 0.730 (0.751)	Data 0.001 (0.001)	Loss 2.1200 (2.1763)	Prec@1 42.969 (45.064)	Prec@5 75.000 (75.613)
Epoch: [53][13310/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 2.0678 (2.1764)	Prec@1 46.875 (45.062)	Prec@5 78.125 (75.613)
Epoch: [53][13320/14090]	Time 0.767 (0.751)	Data 0.001 (0.001)	Loss 2.4158 (2.1763)	Prec@1 39.844 (45.062)	Prec@5 69.531 (75.614)
Epoch: [53][13330/14090]	Time 0.744 (0.751)	Data 0.002 (0.001)	Loss 2.1034 (2.1763)	Prec@1 38.281 (45.061)	Prec@5 76.562 (75.614)
Epoch: [53][13340/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 2.1659 (2.1764)	Prec@1 41.406 (45.059)	Prec@5 73.438 (75.613)
Epoch: [53][13350/14090]	Time 0.846 (0.751)	Data 0.001 (0.001)	Loss 2.1152 (2.1764)	Prec@1 42.188 (45.057)	Prec@5 78.906 (75.613)
Epoch: [53][13360/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 2.3493 (2.1764)	Prec@1 42.188 (45.057)	Prec@5 71.875 (75.613)
Epoch: [53][13370/14090]	Time 0.733 (0.751)	Data 0.001 (0.001)	Loss 2.1479 (2.1763)	Prec@1 47.656 (45.059)	Prec@5 78.125 (75.613)
Epoch: [53][13380/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 2.4592 (2.1763)	Prec@1 35.938 (45.060)	Prec@5 70.312 (75.615)
Epoch: [53][13390/14090]	Time 0.761 (0.751)	Data 0.001 (0.001)	Loss 2.2949 (2.1763)	Prec@1 44.531 (45.060)	Prec@5 75.000 (75.615)
Epoch: [53][13400/14090]	Time 0.768 (0.751)	Data 0.001 (0.001)	Loss 1.9749 (2.1762)	Prec@1 50.000 (45.063)	Prec@5 79.688 (75.615)
Epoch: [53][13410/14090]	Time 0.734 (0.751)	Data 0.001 (0.001)	Loss 2.4409 (2.1762)	Prec@1 39.844 (45.063)	Prec@5 71.875 (75.616)
Epoch: [53][13420/14090]	Time 0.847 (0.751)	Data 0.002 (0.001)	Loss 2.2680 (2.1762)	Prec@1 47.656 (45.064)	Prec@5 74.219 (75.615)
Epoch: [53][13430/14090]	Time 0.737 (0.751)	Data 0.001 (0.001)	Loss 2.4080 (2.1763)	Prec@1 39.844 (45.063)	Prec@5 69.531 (75.614)
Epoch: [53][13440/14090]	Time 0.742 (0.751)	Data 0.001 (0.001)	Loss 1.9788 (2.1763)	Prec@1 46.875 (45.062)	Prec@5 78.906 (75.612)
Epoch: [53][13450/14090]	Time 0.778 (0.751)	Data 0.001 (0.001)	Loss 2.4130 (2.1763)	Prec@1 37.500 (45.061)	Prec@5 69.531 (75.610)
Epoch: [53][13460/14090]	Time 0.764 (0.751)	Data 0.001 (0.001)	Loss 2.2981 (2.1763)	Prec@1 42.188 (45.060)	Prec@5 72.656 (75.611)
Epoch: [53][13470/14090]	Time 0.769 (0.751)	Data 0.001 (0.001)	Loss 2.3085 (2.1764)	Prec@1 40.625 (45.059)	Prec@5 72.656 (75.611)
Epoch: [53][13480/14090]	Time 0.743 (0.751)	Data 0.001 (0.001)	Loss 2.2836 (2.1764)	Prec@1 42.969 (45.058)	Prec@5 70.312 (75.610)
Epoch: [53][13490/14090]	Time 0.778 (0.751)	Data 0.001 (0.001)	Loss 1.9393 (2.1763)	Prec@1 54.688 (45.060)	Prec@5 78.906 (75.610)
Epoch: [53][13500/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 2.0824 (2.1763)	Prec@1 41.406 (45.059)	Prec@5 73.438 (75.609)
Epoch: [53][13510/14090]	Time 0.722 (0.751)	Data 0.001 (0.001)	Loss 2.1619 (2.1763)	Prec@1 45.312 (45.061)	Prec@5 74.219 (75.611)
Epoch: [53][13520/14090]	Time 0.759 (0.751)	Data 0.001 (0.001)	Loss 2.3380 (2.1763)	Prec@1 40.625 (45.060)	Prec@5 68.750 (75.611)
Epoch: [53][13530/14090]	Time 0.725 (0.751)	Data 0.001 (0.001)	Loss 2.0653 (2.1762)	Prec@1 46.094 (45.061)	Prec@5 79.688 (75.611)
Epoch: [53][13540/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 2.0813 (2.1762)	Prec@1 46.094 (45.062)	Prec@5 79.688 (75.612)
Epoch: [53][13550/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 2.0732 (2.1762)	Prec@1 50.000 (45.061)	Prec@5 79.688 (75.612)
Epoch: [53][13560/14090]	Time 0.848 (0.751)	Data 0.001 (0.001)	Loss 2.1959 (2.1762)	Prec@1 42.969 (45.061)	Prec@5 74.219 (75.612)
Epoch: [53][13570/14090]	Time 0.762 (0.751)	Data 0.001 (0.001)	Loss 2.2712 (2.1762)	Prec@1 45.312 (45.062)	Prec@5 70.312 (75.612)
Epoch: [53][13580/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 2.3614 (2.1762)	Prec@1 43.750 (45.063)	Prec@5 71.094 (75.612)
Epoch: [53][13590/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 1.9755 (2.1761)	Prec@1 50.000 (45.065)	Prec@5 80.469 (75.613)
Epoch: [53][13600/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 2.2549 (2.1761)	Prec@1 41.406 (45.064)	Prec@5 78.906 (75.613)
Epoch: [53][13610/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 2.0639 (2.1760)	Prec@1 46.094 (45.066)	Prec@5 76.562 (75.615)
Epoch: [53][13620/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 2.0352 (2.1760)	Prec@1 51.562 (45.065)	Prec@5 77.344 (75.615)
Epoch: [53][13630/14090]	Time 0.725 (0.751)	Data 0.001 (0.001)	Loss 2.3881 (2.1760)	Prec@1 39.844 (45.065)	Prec@5 70.312 (75.614)
Epoch: [53][13640/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 2.1391 (2.1760)	Prec@1 46.875 (45.066)	Prec@5 75.781 (75.615)
Epoch: [53][13650/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 2.1532 (2.1760)	Prec@1 47.656 (45.066)	Prec@5 75.781 (75.615)
Epoch: [53][13660/14090]	Time 0.761 (0.751)	Data 0.001 (0.001)	Loss 1.8158 (2.1760)	Prec@1 53.125 (45.065)	Prec@5 85.938 (75.617)
Epoch: [53][13670/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 2.1466 (2.1759)	Prec@1 44.531 (45.067)	Prec@5 76.562 (75.617)
Epoch: [53][13680/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 2.2494 (2.1760)	Prec@1 39.844 (45.065)	Prec@5 81.250 (75.616)
Epoch: [53][13690/14090]	Time 0.769 (0.751)	Data 0.001 (0.001)	Loss 2.1213 (2.1760)	Prec@1 43.750 (45.064)	Prec@5 77.344 (75.617)
Epoch: [53][13700/14090]	Time 0.739 (0.751)	Data 0.001 (0.001)	Loss 2.1495 (2.1760)	Prec@1 43.750 (45.066)	Prec@5 78.125 (75.617)
Epoch: [53][13710/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 2.3160 (2.1760)	Prec@1 42.969 (45.066)	Prec@5 73.438 (75.617)
Epoch: [53][13720/14090]	Time 0.760 (0.751)	Data 0.001 (0.001)	Loss 2.0159 (2.1760)	Prec@1 51.562 (45.065)	Prec@5 81.250 (75.617)
Epoch: [53][13730/14090]	Time 0.776 (0.751)	Data 0.001 (0.001)	Loss 2.0726 (2.1760)	Prec@1 46.094 (45.064)	Prec@5 78.125 (75.616)
Epoch: [53][13740/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 2.3066 (2.1761)	Prec@1 44.531 (45.065)	Prec@5 72.656 (75.617)
Epoch: [53][13750/14090]	Time 0.740 (0.751)	Data 0.001 (0.001)	Loss 1.9518 (2.1761)	Prec@1 47.656 (45.064)	Prec@5 74.219 (75.617)
Epoch: [53][13760/14090]	Time 0.742 (0.751)	Data 0.001 (0.001)	Loss 2.2378 (2.1761)	Prec@1 43.750 (45.064)	Prec@5 78.906 (75.618)
Epoch: [53][13770/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 2.3002 (2.1760)	Prec@1 42.969 (45.064)	Prec@5 74.219 (75.618)
Epoch: [53][13780/14090]	Time 0.763 (0.751)	Data 0.001 (0.001)	Loss 2.0729 (2.1760)	Prec@1 45.312 (45.065)	Prec@5 77.344 (75.619)
Epoch: [53][13790/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 2.0184 (2.1760)	Prec@1 43.750 (45.064)	Prec@5 78.125 (75.619)
Epoch: [53][13800/14090]	Time 0.727 (0.751)	Data 0.001 (0.001)	Loss 2.1905 (2.1760)	Prec@1 46.875 (45.067)	Prec@5 75.781 (75.620)
Epoch: [53][13810/14090]	Time 0.734 (0.751)	Data 0.001 (0.001)	Loss 2.1170 (2.1759)	Prec@1 46.875 (45.067)	Prec@5 75.781 (75.620)
Epoch: [53][13820/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 1.8719 (2.1759)	Prec@1 51.562 (45.069)	Prec@5 80.469 (75.620)
Epoch: [53][13830/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 2.1835 (2.1760)	Prec@1 47.656 (45.067)	Prec@5 73.438 (75.619)
Epoch: [53][13840/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 2.1595 (2.1760)	Prec@1 39.844 (45.067)	Prec@5 77.344 (75.618)
Epoch: [53][13850/14090]	Time 0.739 (0.751)	Data 0.001 (0.001)	Loss 2.1176 (2.1760)	Prec@1 53.906 (45.067)	Prec@5 71.094 (75.617)
Epoch: [53][13860/14090]	Time 0.737 (0.751)	Data 0.001 (0.001)	Loss 2.4046 (2.1760)	Prec@1 39.844 (45.065)	Prec@5 68.750 (75.616)
Epoch: [53][13870/14090]	Time 0.779 (0.751)	Data 0.001 (0.001)	Loss 2.0914 (2.1761)	Prec@1 41.406 (45.063)	Prec@5 78.906 (75.615)
Epoch: [53][13880/14090]	Time 0.763 (0.751)	Data 0.001 (0.001)	Loss 1.9994 (2.1760)	Prec@1 46.875 (45.064)	Prec@5 78.125 (75.616)
Epoch: [53][13890/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 2.4194 (2.1760)	Prec@1 44.531 (45.064)	Prec@5 71.875 (75.617)
Epoch: [53][13900/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 2.5966 (2.1760)	Prec@1 39.844 (45.064)	Prec@5 63.281 (75.617)
Epoch: [53][13910/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 2.1588 (2.1761)	Prec@1 44.531 (45.064)	Prec@5 76.562 (75.616)
Epoch: [53][13920/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 2.1046 (2.1760)	Prec@1 45.312 (45.064)	Prec@5 78.906 (75.617)
Epoch: [53][13930/14090]	Time 0.742 (0.751)	Data 0.002 (0.001)	Loss 2.2749 (2.1760)	Prec@1 43.750 (45.065)	Prec@5 73.438 (75.617)
Epoch: [53][13940/14090]	Time 0.741 (0.751)	Data 0.001 (0.001)	Loss 2.3153 (2.1760)	Prec@1 41.406 (45.065)	Prec@5 71.875 (75.619)
Epoch: [53][13950/14090]	Time 0.760 (0.751)	Data 0.001 (0.001)	Loss 2.1184 (2.1760)	Prec@1 42.188 (45.064)	Prec@5 74.219 (75.617)
Epoch: [53][13960/14090]	Time 0.737 (0.751)	Data 0.001 (0.001)	Loss 1.9599 (2.1761)	Prec@1 50.000 (45.064)	Prec@5 82.031 (75.617)
Epoch: [53][13970/14090]	Time 0.759 (0.751)	Data 0.001 (0.001)	Loss 2.0884 (2.1761)	Prec@1 47.656 (45.063)	Prec@5 78.906 (75.617)
Epoch: [53][13980/14090]	Time 0.777 (0.751)	Data 0.001 (0.001)	Loss 2.0210 (2.1761)	Prec@1 50.781 (45.063)	Prec@5 75.000 (75.616)
Epoch: [53][13990/14090]	Time 0.777 (0.751)	Data 0.001 (0.001)	Loss 2.3562 (2.1762)	Prec@1 43.750 (45.062)	Prec@5 73.438 (75.616)
Epoch: [53][14000/14090]	Time 0.784 (0.751)	Data 0.001 (0.001)	Loss 2.0125 (2.1761)	Prec@1 47.656 (45.064)	Prec@5 79.688 (75.619)
Epoch: [53][14010/14090]	Time 0.742 (0.751)	Data 0.001 (0.001)	Loss 2.2088 (2.1761)	Prec@1 47.656 (45.065)	Prec@5 77.344 (75.621)
Epoch: [53][14020/14090]	Time 0.728 (0.751)	Data 0.001 (0.001)	Loss 2.2495 (2.1760)	Prec@1 41.406 (45.064)	Prec@5 73.438 (75.620)
Epoch: [53][14030/14090]	Time 0.783 (0.751)	Data 0.001 (0.001)	Loss 2.1145 (2.1761)	Prec@1 50.000 (45.064)	Prec@5 75.000 (75.619)
Epoch: [53][14040/14090]	Time 0.740 (0.751)	Data 0.001 (0.001)	Loss 2.4746 (2.1760)	Prec@1 35.156 (45.063)	Prec@5 71.094 (75.620)
Epoch: [53][14050/14090]	Time 0.764 (0.751)	Data 0.001 (0.001)	Loss 2.2279 (2.1761)	Prec@1 46.875 (45.063)	Prec@5 71.875 (75.620)
Epoch: [53][14060/14090]	Time 0.762 (0.751)	Data 0.001 (0.001)	Loss 1.9959 (2.1761)	Prec@1 46.094 (45.062)	Prec@5 75.781 (75.620)
Epoch: [53][14070/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 2.3101 (2.1761)	Prec@1 41.406 (45.062)	Prec@5 73.438 (75.620)
Epoch: [53][14080/14090]	Time 0.736 (0.751)	Data 0.000 (0.001)	Loss 2.3210 (2.1761)	Prec@1 44.531 (45.061)	Prec@5 72.656 (75.620)
Test: [0/286]	Time 4.627 (4.627)	Loss 1.6011 (1.6011)	Prec@1 51.562 (51.562)	Prec@5 93.750 (93.750)
Test: [10/286]	Time 0.401 (0.787)	Loss 2.1829 (1.9472)	Prec@1 42.188 (50.284)	Prec@5 82.812 (82.812)
Test: [20/286]	Time 0.353 (0.613)	Loss 1.7341 (1.8405)	Prec@1 53.906 (51.711)	Prec@5 86.719 (84.449)
Test: [30/286]	Time 0.241 (0.541)	Loss 1.7927 (1.7542)	Prec@1 47.656 (54.032)	Prec@5 83.594 (84.602)
Test: [40/286]	Time 1.593 (0.548)	Loss 1.7733 (1.7757)	Prec@1 46.875 (53.373)	Prec@5 87.500 (84.051)
Test: [50/286]	Time 0.288 (0.521)	Loss 0.5790 (1.7754)	Prec@1 88.281 (53.064)	Prec@5 94.531 (84.252)
Test: [60/286]	Time 0.235 (0.501)	Loss 2.5673 (1.8122)	Prec@1 38.281 (52.587)	Prec@5 72.656 (83.069)
Test: [70/286]	Time 0.248 (0.488)	Loss 1.2012 (1.7845)	Prec@1 72.656 (53.477)	Prec@5 92.969 (83.374)
Test: [80/286]	Time 1.571 (0.495)	Loss 2.1175 (1.8089)	Prec@1 42.969 (52.710)	Prec@5 83.594 (83.131)
Test: [90/286]	Time 0.227 (0.488)	Loss 2.3464 (1.8388)	Prec@1 37.500 (51.872)	Prec@5 78.125 (82.701)
Test: [100/286]	Time 0.396 (0.482)	Loss 2.3288 (1.8565)	Prec@1 34.375 (51.199)	Prec@5 77.344 (82.557)
Test: [110/286]	Time 0.231 (0.476)	Loss 2.2657 (1.8681)	Prec@1 41.406 (50.831)	Prec@5 79.688 (82.608)
Test: [120/286]	Time 1.478 (0.481)	Loss 1.7437 (1.8577)	Prec@1 57.812 (51.188)	Prec@5 78.125 (82.741)
Test: [130/286]	Time 0.226 (0.477)	Loss 0.8676 (1.8462)	Prec@1 76.562 (51.503)	Prec@5 96.094 (82.812)
Test: [140/286]	Time 0.231 (0.474)	Loss 2.5221 (1.8452)	Prec@1 42.969 (51.535)	Prec@5 71.094 (82.812)
Test: [150/286]	Time 0.254 (0.471)	Loss 3.0150 (1.8657)	Prec@1 23.438 (51.030)	Prec@5 64.062 (82.518)
Test: [160/286]	Time 1.769 (0.476)	Loss 2.6765 (1.8683)	Prec@1 23.438 (50.912)	Prec@5 68.750 (82.502)
Test: [170/286]	Time 0.304 (0.472)	Loss 1.9401 (1.8632)	Prec@1 48.438 (50.991)	Prec@5 82.812 (82.630)
Test: [180/286]	Time 0.250 (0.469)	Loss 1.8918 (1.8767)	Prec@1 59.375 (50.729)	Prec@5 78.906 (82.381)
Test: [190/286]	Time 0.235 (0.466)	Loss 3.3310 (1.8982)	Prec@1 7.031 (50.225)	Prec@5 62.500 (82.113)
Test: [200/286]	Time 1.419 (0.470)	Loss 1.9797 (1.8950)	Prec@1 53.125 (50.369)	Prec@5 85.938 (82.121)
Test: [210/286]	Time 0.305 (0.468)	Loss 2.0741 (1.8987)	Prec@1 40.625 (50.181)	Prec@5 80.469 (82.031)
Test: [220/286]	Time 0.232 (0.466)	Loss 3.3325 (1.9045)	Prec@1 13.281 (50.078)	Prec@5 55.469 (81.847)
Test: [230/286]	Time 0.391 (0.465)	Loss 1.3423 (1.9037)	Prec@1 65.625 (50.125)	Prec@5 84.375 (81.822)
Test: [240/286]	Time 0.953 (0.466)	Loss 2.3100 (1.9086)	Prec@1 46.875 (50.078)	Prec@5 75.781 (81.756)
Test: [250/286]	Time 0.410 (0.465)	Loss 1.8123 (1.8984)	Prec@1 52.344 (50.162)	Prec@5 82.812 (82.003)
Test: [260/286]	Time 0.353 (0.464)	Loss 1.2765 (1.8862)	Prec@1 66.406 (50.485)	Prec@5 89.062 (82.208)
Test: [270/286]	Time 0.385 (0.463)	Loss 1.4477 (1.8868)	Prec@1 64.844 (50.536)	Prec@5 87.500 (82.161)
Test: [280/286]	Time 0.280 (0.464)	Loss 1.7509 (1.8702)	Prec@1 59.375 (51.151)	Prec@5 86.719 (82.306)
 * Prec@1 51.257 Prec@5 82.296
Epoch: [54][0/14090]	Time 6.136 (6.136)	Data 5.369 (5.369)	Loss 2.0079 (2.0079)	Prec@1 50.781 (50.781)	Prec@5 77.344 (77.344)
Epoch: [54][10/14090]	Time 0.736 (1.218)	Data 0.001 (0.489)	Loss 1.8616 (2.1434)	Prec@1 56.250 (47.159)	Prec@5 75.781 (74.645)
Epoch: [54][20/14090]	Time 0.722 (0.986)	Data 0.001 (0.256)	Loss 2.1570 (2.1796)	Prec@1 47.656 (46.168)	Prec@5 75.000 (74.740)
Epoch: [54][30/14090]	Time 0.744 (0.908)	Data 0.001 (0.174)	Loss 1.9852 (2.1614)	Prec@1 51.562 (46.573)	Prec@5 81.250 (75.328)
Epoch: [54][40/14090]	Time 0.763 (0.867)	Data 0.001 (0.132)	Loss 2.2423 (2.1437)	Prec@1 45.312 (46.608)	Prec@5 74.219 (75.648)
Epoch: [54][50/14090]	Time 0.757 (0.846)	Data 0.001 (0.106)	Loss 2.1549 (2.1424)	Prec@1 41.406 (46.385)	Prec@5 80.469 (75.950)
Epoch: [54][60/14090]	Time 0.735 (0.828)	Data 0.001 (0.089)	Loss 2.1204 (2.1314)	Prec@1 46.094 (46.542)	Prec@5 75.000 (76.050)
Epoch: [54][70/14090]	Time 0.734 (0.817)	Data 0.001 (0.076)	Loss 1.8501 (2.1262)	Prec@1 53.125 (46.721)	Prec@5 81.250 (76.287)
Epoch: [54][80/14090]	Time 0.748 (0.809)	Data 0.001 (0.067)	Loss 2.2227 (2.1357)	Prec@1 42.969 (46.383)	Prec@5 73.438 (76.051)
Epoch: [54][90/14090]	Time 0.747 (0.802)	Data 0.001 (0.060)	Loss 1.8158 (2.1327)	Prec@1 54.688 (46.471)	Prec@5 83.594 (76.236)
Epoch: [54][100/14090]	Time 0.741 (0.798)	Data 0.001 (0.054)	Loss 2.0703 (2.1275)	Prec@1 50.781 (46.674)	Prec@5 80.469 (76.330)
Epoch: [54][110/14090]	Time 0.750 (0.793)	Data 0.001 (0.049)	Loss 2.3358 (2.1294)	Prec@1 42.188 (46.579)	Prec@5 72.656 (76.295)
Epoch: [54][120/14090]	Time 0.723 (0.790)	Data 0.001 (0.045)	Loss 1.8767 (2.1274)	Prec@1 52.344 (46.662)	Prec@5 77.344 (76.259)
Epoch: [54][130/14090]	Time 0.739 (0.787)	Data 0.001 (0.042)	Loss 2.3644 (2.1329)	Prec@1 43.750 (46.517)	Prec@5 73.438 (76.193)
Epoch: [54][140/14090]	Time 0.759 (0.784)	Data 0.001 (0.039)	Loss 2.3530 (2.1379)	Prec@1 43.750 (46.266)	Prec@5 73.438 (76.108)
Epoch: [54][150/14090]	Time 0.751 (0.783)	Data 0.001 (0.036)	Loss 2.1956 (2.1420)	Prec@1 45.312 (46.208)	Prec@5 75.781 (76.107)
Epoch: [54][160/14090]	Time 0.758 (0.781)	Data 0.001 (0.034)	Loss 2.1177 (2.1432)	Prec@1 46.094 (46.118)	Prec@5 72.656 (76.072)
Epoch: [54][170/14090]	Time 0.738 (0.779)	Data 0.001 (0.032)	Loss 2.5103 (2.1437)	Prec@1 40.625 (46.135)	Prec@5 69.531 (76.128)
Epoch: [54][180/14090]	Time 0.774 (0.777)	Data 0.001 (0.031)	Loss 2.1186 (2.1440)	Prec@1 47.656 (46.059)	Prec@5 75.781 (76.109)
Epoch: [54][190/14090]	Time 0.724 (0.776)	Data 0.001 (0.029)	Loss 2.1290 (2.1446)	Prec@1 49.219 (46.041)	Prec@5 75.781 (76.121)
Epoch: [54][200/14090]	Time 0.776 (0.774)	Data 0.001 (0.028)	Loss 2.3036 (2.1475)	Prec@1 42.188 (45.946)	Prec@5 70.312 (76.108)
Epoch: [54][210/14090]	Time 0.738 (0.773)	Data 0.001 (0.026)	Loss 2.4432 (2.1467)	Prec@1 35.156 (45.901)	Prec@5 72.656 (76.118)
Epoch: [54][220/14090]	Time 0.750 (0.772)	Data 0.001 (0.025)	Loss 2.0210 (2.1458)	Prec@1 45.312 (45.981)	Prec@5 79.688 (76.131)
Epoch: [54][230/14090]	Time 0.758 (0.771)	Data 0.001 (0.024)	Loss 2.1725 (2.1437)	Prec@1 48.438 (45.972)	Prec@5 71.094 (76.167)
Epoch: [54][240/14090]	Time 0.735 (0.770)	Data 0.001 (0.023)	Loss 2.0635 (2.1432)	Prec@1 52.344 (45.974)	Prec@5 77.344 (76.180)
Epoch: [54][250/14090]	Time 0.754 (0.769)	Data 0.001 (0.022)	Loss 1.8479 (2.1417)	Prec@1 53.125 (45.975)	Prec@5 81.250 (76.208)
Epoch: [54][260/14090]	Time 0.744 (0.768)	Data 0.001 (0.021)	Loss 2.1288 (2.1442)	Prec@1 46.875 (45.947)	Prec@5 75.781 (76.149)
Epoch: [54][270/14090]	Time 0.769 (0.768)	Data 0.002 (0.021)	Loss 2.2111 (2.1445)	Prec@1 47.656 (45.915)	Prec@5 70.312 (76.107)
Epoch: [54][280/14090]	Time 0.788 (0.767)	Data 0.001 (0.020)	Loss 2.3524 (2.1442)	Prec@1 43.750 (45.916)	Prec@5 69.531 (76.093)
Epoch: [54][290/14090]	Time 0.757 (0.766)	Data 0.001 (0.019)	Loss 1.9061 (2.1430)	Prec@1 49.219 (45.968)	Prec@5 81.250 (76.141)
Epoch: [54][300/14090]	Time 0.750 (0.766)	Data 0.001 (0.019)	Loss 2.1598 (2.1435)	Prec@1 46.094 (45.951)	Prec@5 75.781 (76.173)
Epoch: [54][310/14090]	Time 0.725 (0.766)	Data 0.001 (0.018)	Loss 1.9082 (2.1420)	Prec@1 54.688 (45.938)	Prec@5 79.688 (76.213)
Epoch: [54][320/14090]	Time 0.762 (0.765)	Data 0.001 (0.018)	Loss 2.2105 (2.1418)	Prec@1 43.750 (45.911)	Prec@5 75.781 (76.202)
Epoch: [54][330/14090]	Time 0.731 (0.765)	Data 0.001 (0.017)	Loss 2.0621 (2.1440)	Prec@1 53.125 (45.891)	Prec@5 75.781 (76.157)
Epoch: [54][340/14090]	Time 0.749 (0.764)	Data 0.001 (0.017)	Loss 1.9189 (2.1423)	Prec@1 48.438 (45.954)	Prec@5 80.469 (76.180)
Epoch: [54][350/14090]	Time 0.741 (0.764)	Data 0.001 (0.016)	Loss 2.1794 (2.1421)	Prec@1 44.531 (45.956)	Prec@5 74.219 (76.180)
Epoch: [54][360/14090]	Time 0.756 (0.763)	Data 0.001 (0.016)	Loss 2.2379 (2.1432)	Prec@1 47.656 (45.905)	Prec@5 75.000 (76.177)
Epoch: [54][370/14090]	Time 0.784 (0.763)	Data 0.001 (0.015)	Loss 2.0353 (2.1420)	Prec@1 48.438 (45.948)	Prec@5 78.125 (76.173)
Epoch: [54][380/14090]	Time 0.774 (0.763)	Data 0.001 (0.015)	Loss 2.0942 (2.1427)	Prec@1 45.312 (45.956)	Prec@5 78.906 (76.173)
Epoch: [54][390/14090]	Time 0.728 (0.762)	Data 0.001 (0.015)	Loss 1.8339 (2.1414)	Prec@1 53.906 (45.988)	Prec@5 82.812 (76.217)
Epoch: [54][400/14090]	Time 0.789 (0.762)	Data 0.001 (0.014)	Loss 2.0165 (2.1403)	Prec@1 50.000 (46.022)	Prec@5 78.125 (76.222)
Epoch: [54][410/14090]	Time 0.738 (0.762)	Data 0.001 (0.014)	Loss 2.0820 (2.1417)	Prec@1 47.656 (45.974)	Prec@5 75.781 (76.203)
Epoch: [54][420/14090]	Time 0.729 (0.762)	Data 0.001 (0.014)	Loss 2.1006 (2.1422)	Prec@1 44.531 (45.956)	Prec@5 78.125 (76.186)
Epoch: [54][430/14090]	Time 0.751 (0.762)	Data 0.002 (0.013)	Loss 2.1499 (2.1435)	Prec@1 48.438 (45.952)	Prec@5 75.000 (76.138)
Epoch: [54][440/14090]	Time 0.750 (0.762)	Data 0.001 (0.013)	Loss 1.9490 (2.1438)	Prec@1 39.844 (45.908)	Prec@5 80.469 (76.141)
Epoch: [54][450/14090]	Time 0.797 (0.761)	Data 0.001 (0.013)	Loss 1.9659 (2.1447)	Prec@1 50.781 (45.896)	Prec@5 78.906 (76.114)
Epoch: [54][460/14090]	Time 0.760 (0.761)	Data 0.001 (0.013)	Loss 2.1783 (2.1434)	Prec@1 40.625 (45.865)	Prec@5 71.875 (76.157)
Epoch: [54][470/14090]	Time 0.747 (0.761)	Data 0.001 (0.012)	Loss 2.3784 (2.1440)	Prec@1 46.094 (45.843)	Prec@5 71.094 (76.141)
Epoch: [54][480/14090]	Time 0.758 (0.761)	Data 0.001 (0.012)	Loss 2.4385 (2.1458)	Prec@1 35.938 (45.769)	Prec@5 67.969 (76.104)
Epoch: [54][490/14090]	Time 0.725 (0.761)	Data 0.001 (0.012)	Loss 2.3419 (2.1454)	Prec@1 39.844 (45.777)	Prec@5 74.219 (76.098)
Epoch: [54][500/14090]	Time 0.748 (0.761)	Data 0.001 (0.012)	Loss 2.4279 (2.1454)	Prec@1 41.406 (45.776)	Prec@5 70.312 (76.084)
Epoch: [54][510/14090]	Time 0.741 (0.760)	Data 0.001 (0.011)	Loss 2.5463 (2.1466)	Prec@1 40.625 (45.779)	Prec@5 62.500 (76.043)
Epoch: [54][520/14090]	Time 0.730 (0.760)	Data 0.001 (0.011)	Loss 2.2310 (2.1462)	Prec@1 43.750 (45.795)	Prec@5 75.000 (76.045)
Epoch: [54][530/14090]	Time 0.740 (0.760)	Data 0.001 (0.011)	Loss 2.3100 (2.1469)	Prec@1 39.062 (45.788)	Prec@5 73.438 (76.053)
Epoch: [54][540/14090]	Time 0.750 (0.760)	Data 0.001 (0.011)	Loss 2.3347 (2.1465)	Prec@1 39.062 (45.780)	Prec@5 71.875 (76.083)
Epoch: [54][550/14090]	Time 0.765 (0.760)	Data 0.001 (0.011)	Loss 2.3460 (2.1477)	Prec@1 36.719 (45.734)	Prec@5 72.656 (76.056)
Epoch: [54][560/14090]	Time 0.787 (0.760)	Data 0.001 (0.010)	Loss 2.1140 (2.1484)	Prec@1 39.844 (45.715)	Prec@5 75.781 (76.035)
Epoch: [54][570/14090]	Time 0.758 (0.760)	Data 0.001 (0.010)	Loss 2.2926 (2.1496)	Prec@1 40.625 (45.674)	Prec@5 76.562 (76.021)
Epoch: [54][580/14090]	Time 0.741 (0.759)	Data 0.001 (0.010)	Loss 2.1339 (2.1481)	Prec@1 46.875 (45.729)	Prec@5 71.094 (76.045)
Epoch: [54][590/14090]	Time 0.747 (0.759)	Data 0.001 (0.010)	Loss 2.0552 (2.1493)	Prec@1 50.781 (45.691)	Prec@5 78.125 (76.034)
Epoch: [54][600/14090]	Time 0.740 (0.759)	Data 0.001 (0.010)	Loss 2.1050 (2.1501)	Prec@1 47.656 (45.673)	Prec@5 77.344 (76.011)
Epoch: [54][610/14090]	Time 0.725 (0.759)	Data 0.001 (0.010)	Loss 2.2248 (2.1502)	Prec@1 46.875 (45.694)	Prec@5 73.438 (76.010)
Epoch: [54][620/14090]	Time 0.738 (0.759)	Data 0.001 (0.009)	Loss 1.9427 (2.1509)	Prec@1 45.312 (45.695)	Prec@5 78.125 (75.984)
Epoch: [54][630/14090]	Time 0.752 (0.759)	Data 0.001 (0.009)	Loss 2.4090 (2.1496)	Prec@1 47.656 (45.726)	Prec@5 71.875 (76.010)
Epoch: [54][640/14090]	Time 0.757 (0.759)	Data 0.001 (0.009)	Loss 2.0298 (2.1489)	Prec@1 49.219 (45.732)	Prec@5 74.219 (76.016)
Epoch: [54][650/14090]	Time 0.752 (0.758)	Data 0.001 (0.009)	Loss 2.1372 (2.1489)	Prec@1 46.875 (45.730)	Prec@5 75.781 (76.007)
Epoch: [54][660/14090]	Time 0.768 (0.758)	Data 0.001 (0.009)	Loss 1.9291 (2.1479)	Prec@1 47.656 (45.733)	Prec@5 84.375 (76.038)
Epoch: [54][670/14090]	Time 0.732 (0.758)	Data 0.001 (0.009)	Loss 2.0939 (2.1474)	Prec@1 42.188 (45.730)	Prec@5 76.562 (76.061)
Epoch: [54][680/14090]	Time 0.749 (0.758)	Data 0.001 (0.009)	Loss 1.9174 (2.1473)	Prec@1 44.531 (45.722)	Prec@5 82.031 (76.070)
Epoch: [54][690/14090]	Time 0.742 (0.758)	Data 0.001 (0.009)	Loss 2.1311 (2.1470)	Prec@1 46.094 (45.731)	Prec@5 77.344 (76.085)
Epoch: [54][700/14090]	Time 0.736 (0.758)	Data 0.001 (0.009)	Loss 2.3004 (2.1482)	Prec@1 39.844 (45.713)	Prec@5 71.094 (76.063)
Epoch: [54][710/14090]	Time 0.726 (0.758)	Data 0.001 (0.008)	Loss 2.1882 (2.1487)	Prec@1 43.750 (45.698)	Prec@5 73.438 (76.050)
Epoch: [54][720/14090]	Time 0.893 (0.758)	Data 0.001 (0.008)	Loss 2.1984 (2.1492)	Prec@1 44.531 (45.693)	Prec@5 78.125 (76.041)
Epoch: [54][730/14090]	Time 0.732 (0.758)	Data 0.001 (0.008)	Loss 2.2756 (2.1484)	Prec@1 43.750 (45.719)	Prec@5 75.781 (76.072)
Epoch: [54][740/14090]	Time 0.758 (0.758)	Data 0.001 (0.008)	Loss 2.2624 (2.1487)	Prec@1 44.531 (45.710)	Prec@5 73.438 (76.066)
Epoch: [54][750/14090]	Time 0.760 (0.757)	Data 0.001 (0.008)	Loss 2.0379 (2.1484)	Prec@1 43.750 (45.710)	Prec@5 82.031 (76.086)
Epoch: [54][760/14090]	Time 0.759 (0.757)	Data 0.001 (0.008)	Loss 2.2496 (2.1472)	Prec@1 41.406 (45.715)	Prec@5 72.656 (76.099)
Epoch: [54][770/14090]	Time 0.796 (0.757)	Data 0.001 (0.008)	Loss 2.3254 (2.1474)	Prec@1 39.844 (45.709)	Prec@5 68.750 (76.079)
Epoch: [54][780/14090]	Time 0.757 (0.757)	Data 0.001 (0.008)	Loss 2.1041 (2.1471)	Prec@1 42.969 (45.718)	Prec@5 78.125 (76.089)
Epoch: [54][790/14090]	Time 0.729 (0.757)	Data 0.001 (0.008)	Loss 2.0025 (2.1471)	Prec@1 50.781 (45.723)	Prec@5 78.125 (76.094)
Epoch: [54][800/14090]	Time 0.748 (0.757)	Data 0.001 (0.008)	Loss 2.2267 (2.1470)	Prec@1 40.625 (45.729)	Prec@5 76.562 (76.112)
Epoch: [54][810/14090]	Time 0.732 (0.757)	Data 0.001 (0.007)	Loss 2.3655 (2.1473)	Prec@1 41.406 (45.712)	Prec@5 74.219 (76.111)
Epoch: [54][820/14090]	Time 0.759 (0.757)	Data 0.001 (0.007)	Loss 2.2995 (2.1480)	Prec@1 42.188 (45.708)	Prec@5 69.531 (76.091)
Epoch: [54][830/14090]	Time 0.740 (0.757)	Data 0.001 (0.007)	Loss 2.3757 (2.1484)	Prec@1 41.406 (45.698)	Prec@5 74.219 (76.078)
Epoch: [54][840/14090]	Time 0.744 (0.757)	Data 0.003 (0.007)	Loss 2.3380 (2.1493)	Prec@1 43.750 (45.701)	Prec@5 67.969 (76.065)
Epoch: [54][850/14090]	Time 0.738 (0.757)	Data 0.001 (0.007)	Loss 1.8076 (2.1490)	Prec@1 51.562 (45.703)	Prec@5 87.500 (76.069)
Epoch: [54][860/14090]	Time 0.736 (0.756)	Data 0.001 (0.007)	Loss 1.9046 (2.1490)	Prec@1 47.656 (45.704)	Prec@5 84.375 (76.083)
Epoch: [54][870/14090]	Time 0.763 (0.756)	Data 0.001 (0.007)	Loss 1.9672 (2.1483)	Prec@1 50.000 (45.715)	Prec@5 80.469 (76.092)
Epoch: [54][880/14090]	Time 0.743 (0.756)	Data 0.001 (0.007)	Loss 2.1230 (2.1481)	Prec@1 42.188 (45.707)	Prec@5 76.562 (76.085)
Epoch: [54][890/14090]	Time 0.758 (0.756)	Data 0.001 (0.007)	Loss 2.1818 (2.1487)	Prec@1 41.406 (45.683)	Prec@5 75.000 (76.074)
Epoch: [54][900/14090]	Time 0.749 (0.756)	Data 0.001 (0.007)	Loss 1.8299 (2.1471)	Prec@1 46.094 (45.717)	Prec@5 81.250 (76.100)
Epoch: [54][910/14090]	Time 0.753 (0.756)	Data 0.001 (0.007)	Loss 1.8466 (2.1474)	Prec@1 50.000 (45.696)	Prec@5 85.156 (76.106)
Epoch: [54][920/14090]	Time 0.748 (0.756)	Data 0.001 (0.007)	Loss 2.3660 (2.1479)	Prec@1 38.281 (45.681)	Prec@5 71.094 (76.090)
Epoch: [54][930/14090]	Time 0.755 (0.756)	Data 0.001 (0.007)	Loss 2.1905 (2.1470)	Prec@1 45.312 (45.687)	Prec@5 74.219 (76.103)
Epoch: [54][940/14090]	Time 0.752 (0.756)	Data 0.001 (0.007)	Loss 2.3154 (2.1486)	Prec@1 42.969 (45.663)	Prec@5 74.219 (76.065)
Epoch: [54][950/14090]	Time 0.757 (0.756)	Data 0.001 (0.006)	Loss 2.1353 (2.1481)	Prec@1 45.312 (45.667)	Prec@5 77.344 (76.095)
Epoch: [54][960/14090]	Time 0.734 (0.756)	Data 0.001 (0.006)	Loss 2.0465 (2.1483)	Prec@1 51.562 (45.669)	Prec@5 74.219 (76.077)
Epoch: [54][970/14090]	Time 0.752 (0.755)	Data 0.001 (0.006)	Loss 2.2277 (2.1482)	Prec@1 41.406 (45.668)	Prec@5 76.562 (76.082)
Epoch: [54][980/14090]	Time 0.754 (0.755)	Data 0.001 (0.006)	Loss 2.1780 (2.1492)	Prec@1 46.875 (45.655)	Prec@5 75.781 (76.060)
Epoch: [54][990/14090]	Time 0.729 (0.755)	Data 0.001 (0.006)	Loss 2.1008 (2.1490)	Prec@1 42.969 (45.656)	Prec@5 78.906 (76.068)
Epoch: [54][1000/14090]	Time 0.787 (0.755)	Data 0.001 (0.006)	Loss 2.1449 (2.1501)	Prec@1 47.656 (45.632)	Prec@5 76.562 (76.062)
Epoch: [54][1010/14090]	Time 0.757 (0.755)	Data 0.001 (0.006)	Loss 2.2525 (2.1507)	Prec@1 50.000 (45.615)	Prec@5 72.656 (76.052)
Epoch: [54][1020/14090]	Time 0.748 (0.755)	Data 0.001 (0.006)	Loss 2.1126 (2.1513)	Prec@1 48.438 (45.604)	Prec@5 78.125 (76.047)
Epoch: [54][1030/14090]	Time 0.758 (0.755)	Data 0.001 (0.006)	Loss 2.2562 (2.1520)	Prec@1 42.188 (45.580)	Prec@5 71.875 (76.039)
Epoch: [54][1040/14090]	Time 0.736 (0.755)	Data 0.001 (0.006)	Loss 2.2798 (2.1513)	Prec@1 43.750 (45.600)	Prec@5 73.438 (76.069)
Epoch: [54][1050/14090]	Time 0.756 (0.755)	Data 0.001 (0.006)	Loss 1.9888 (2.1510)	Prec@1 51.562 (45.608)	Prec@5 78.906 (76.076)
Epoch: [54][1060/14090]	Time 0.740 (0.755)	Data 0.001 (0.006)	Loss 1.9830 (2.1507)	Prec@1 45.312 (45.602)	Prec@5 76.562 (76.083)
Epoch: [54][1070/14090]	Time 0.744 (0.755)	Data 0.001 (0.006)	Loss 2.0026 (2.1504)	Prec@1 47.656 (45.587)	Prec@5 79.688 (76.093)
Epoch: [54][1080/14090]	Time 0.756 (0.755)	Data 0.001 (0.006)	Loss 2.0303 (2.1504)	Prec@1 49.219 (45.589)	Prec@5 77.344 (76.090)
Epoch: [54][1090/14090]	Time 0.735 (0.755)	Data 0.001 (0.006)	Loss 1.9927 (2.1504)	Prec@1 46.875 (45.588)	Prec@5 81.250 (76.091)
Epoch: [54][1100/14090]	Time 0.732 (0.755)	Data 0.001 (0.006)	Loss 2.0719 (2.1505)	Prec@1 49.219 (45.590)	Prec@5 80.469 (76.081)
Epoch: [54][1110/14090]	Time 0.758 (0.755)	Data 0.001 (0.006)	Loss 1.9579 (2.1507)	Prec@1 44.531 (45.578)	Prec@5 80.469 (76.086)
Epoch: [54][1120/14090]	Time 0.738 (0.755)	Data 0.001 (0.006)	Loss 2.1381 (2.1511)	Prec@1 42.188 (45.556)	Prec@5 78.125 (76.085)
Epoch: [54][1130/14090]	Time 0.766 (0.755)	Data 0.001 (0.006)	Loss 2.1830 (2.1516)	Prec@1 41.406 (45.536)	Prec@5 78.125 (76.074)
Epoch: [54][1140/14090]	Time 0.767 (0.755)	Data 0.001 (0.006)	Loss 2.3669 (2.1523)	Prec@1 37.500 (45.529)	Prec@5 70.312 (76.049)
Epoch: [54][1150/14090]	Time 0.747 (0.755)	Data 0.001 (0.006)	Loss 2.3541 (2.1529)	Prec@1 38.281 (45.502)	Prec@5 75.781 (76.040)
Epoch: [54][1160/14090]	Time 0.757 (0.755)	Data 0.001 (0.005)	Loss 2.0592 (2.1531)	Prec@1 50.000 (45.492)	Prec@5 79.688 (76.035)
Epoch: [54][1170/14090]	Time 0.732 (0.754)	Data 0.001 (0.005)	Loss 2.1985 (2.1529)	Prec@1 41.406 (45.497)	Prec@5 72.656 (76.035)
Epoch: [54][1180/14090]	Time 0.740 (0.754)	Data 0.001 (0.005)	Loss 2.1781 (2.1536)	Prec@1 45.312 (45.485)	Prec@5 74.219 (76.019)
Epoch: [54][1190/14090]	Time 0.732 (0.754)	Data 0.001 (0.005)	Loss 2.2594 (2.1541)	Prec@1 39.062 (45.468)	Prec@5 72.656 (76.006)
Epoch: [54][1200/14090]	Time 0.755 (0.754)	Data 0.001 (0.005)	Loss 2.0423 (2.1545)	Prec@1 46.875 (45.456)	Prec@5 78.125 (75.995)
Epoch: [54][1210/14090]	Time 0.744 (0.754)	Data 0.001 (0.005)	Loss 2.0567 (2.1544)	Prec@1 48.438 (45.451)	Prec@5 76.562 (75.992)
Epoch: [54][1220/14090]	Time 0.753 (0.754)	Data 0.001 (0.005)	Loss 2.0534 (2.1542)	Prec@1 50.000 (45.450)	Prec@5 80.469 (75.996)
Epoch: [54][1230/14090]	Time 0.730 (0.754)	Data 0.001 (0.005)	Loss 2.3539 (2.1545)	Prec@1 42.969 (45.438)	Prec@5 74.219 (75.990)
Epoch: [54][1240/14090]	Time 0.738 (0.754)	Data 0.001 (0.005)	Loss 2.1852 (2.1543)	Prec@1 47.656 (45.445)	Prec@5 77.344 (75.996)
Epoch: [54][1250/14090]	Time 0.763 (0.754)	Data 0.001 (0.005)	Loss 2.1754 (2.1541)	Prec@1 49.219 (45.469)	Prec@5 75.000 (76.002)
Epoch: [54][1260/14090]	Time 0.736 (0.754)	Data 0.001 (0.005)	Loss 2.3973 (2.1549)	Prec@1 42.969 (45.458)	Prec@5 76.562 (75.992)
Epoch: [54][1270/14090]	Time 0.768 (0.754)	Data 0.001 (0.005)	Loss 1.8388 (2.1548)	Prec@1 53.125 (45.456)	Prec@5 82.812 (75.991)
Epoch: [54][1280/14090]	Time 0.877 (0.754)	Data 0.001 (0.005)	Loss 2.3162 (2.1547)	Prec@1 39.844 (45.457)	Prec@5 75.000 (76.005)
Epoch: [54][1290/14090]	Time 0.736 (0.754)	Data 0.001 (0.005)	Loss 2.4574 (2.1544)	Prec@1 42.969 (45.469)	Prec@5 71.875 (76.007)
Epoch: [54][1300/14090]	Time 0.756 (0.754)	Data 0.001 (0.005)	Loss 2.0806 (2.1544)	Prec@1 44.531 (45.474)	Prec@5 78.906 (76.006)
Epoch: [54][1310/14090]	Time 0.747 (0.754)	Data 0.001 (0.005)	Loss 2.3858 (2.1544)	Prec@1 42.969 (45.478)	Prec@5 68.750 (76.010)
Epoch: [54][1320/14090]	Time 0.734 (0.754)	Data 0.001 (0.005)	Loss 1.9291 (2.1550)	Prec@1 47.656 (45.465)	Prec@5 78.906 (75.992)
Epoch: [54][1330/14090]	Time 0.746 (0.754)	Data 0.001 (0.005)	Loss 2.2404 (2.1554)	Prec@1 46.094 (45.459)	Prec@5 71.875 (75.986)
Epoch: [54][1340/14090]	Time 0.736 (0.754)	Data 0.001 (0.005)	Loss 2.1320 (2.1553)	Prec@1 47.656 (45.478)	Prec@5 75.781 (75.978)
Epoch: [54][1350/14090]	Time 0.751 (0.754)	Data 0.001 (0.005)	Loss 2.3561 (2.1551)	Prec@1 42.969 (45.488)	Prec@5 74.219 (75.983)
Epoch: [54][1360/14090]	Time 0.732 (0.754)	Data 0.001 (0.005)	Loss 2.1150 (2.1554)	Prec@1 40.625 (45.469)	Prec@5 78.906 (75.980)
Epoch: [54][1370/14090]	Time 0.753 (0.754)	Data 0.001 (0.005)	Loss 1.9930 (2.1555)	Prec@1 49.219 (45.471)	Prec@5 81.250 (75.986)
Epoch: [54][1380/14090]	Time 0.743 (0.754)	Data 0.001 (0.005)	Loss 2.4426 (2.1562)	Prec@1 38.281 (45.456)	Prec@5 68.750 (75.970)
Epoch: [54][1390/14090]	Time 0.748 (0.754)	Data 0.001 (0.005)	Loss 2.1527 (2.1562)	Prec@1 44.531 (45.456)	Prec@5 72.656 (75.960)
Epoch: [54][1400/14090]	Time 0.740 (0.754)	Data 0.001 (0.005)	Loss 2.1657 (2.1556)	Prec@1 44.531 (45.470)	Prec@5 75.000 (75.970)
Epoch: [54][1410/14090]	Time 0.739 (0.754)	Data 0.001 (0.005)	Loss 2.3433 (2.1550)	Prec@1 43.750 (45.493)	Prec@5 72.656 (75.972)
Epoch: [54][1420/14090]	Time 0.820 (0.754)	Data 0.001 (0.005)	Loss 2.1279 (2.1546)	Prec@1 46.875 (45.508)	Prec@5 73.438 (75.979)
Epoch: [54][1430/14090]	Time 0.777 (0.754)	Data 0.001 (0.005)	Loss 2.4476 (2.1545)	Prec@1 43.750 (45.516)	Prec@5 71.094 (75.988)
Epoch: [54][1440/14090]	Time 0.761 (0.754)	Data 0.001 (0.005)	Loss 2.1429 (2.1545)	Prec@1 44.531 (45.504)	Prec@5 75.781 (75.987)
Epoch: [54][1450/14090]	Time 0.738 (0.754)	Data 0.001 (0.005)	Loss 2.4585 (2.1550)	Prec@1 39.844 (45.487)	Prec@5 66.406 (75.975)
Epoch: [54][1460/14090]	Time 0.757 (0.754)	Data 0.001 (0.005)	Loss 1.8823 (2.1553)	Prec@1 53.125 (45.478)	Prec@5 80.469 (75.977)
Epoch: [54][1470/14090]	Time 0.741 (0.754)	Data 0.001 (0.005)	Loss 1.9174 (2.1549)	Prec@1 48.438 (45.479)	Prec@5 79.688 (75.979)
Epoch: [54][1480/14090]	Time 0.753 (0.754)	Data 0.001 (0.004)	Loss 1.9972 (2.1544)	Prec@1 48.438 (45.489)	Prec@5 78.125 (75.979)
Epoch: [54][1490/14090]	Time 0.754 (0.754)	Data 0.001 (0.004)	Loss 2.1020 (2.1543)	Prec@1 44.531 (45.479)	Prec@5 78.906 (75.980)
Epoch: [54][1500/14090]	Time 0.735 (0.754)	Data 0.001 (0.004)	Loss 1.7530 (2.1541)	Prec@1 56.250 (45.479)	Prec@5 83.594 (75.983)
Epoch: [54][1510/14090]	Time 0.758 (0.754)	Data 0.001 (0.004)	Loss 2.0323 (2.1543)	Prec@1 46.094 (45.478)	Prec@5 81.250 (75.983)
Epoch: [54][1520/14090]	Time 0.741 (0.754)	Data 0.001 (0.004)	Loss 1.9677 (2.1540)	Prec@1 54.688 (45.480)	Prec@5 78.125 (75.985)
Epoch: [54][1530/14090]	Time 0.743 (0.754)	Data 0.001 (0.004)	Loss 2.1547 (2.1537)	Prec@1 47.656 (45.474)	Prec@5 82.031 (75.993)
Epoch: [54][1540/14090]	Time 0.725 (0.754)	Data 0.001 (0.004)	Loss 2.1104 (2.1537)	Prec@1 39.062 (45.475)	Prec@5 76.562 (75.990)
Epoch: [54][1550/14090]	Time 0.754 (0.754)	Data 0.001 (0.004)	Loss 2.1420 (2.1539)	Prec@1 49.219 (45.476)	Prec@5 78.125 (75.984)
Epoch: [54][1560/14090]	Time 0.744 (0.754)	Data 0.001 (0.004)	Loss 2.2100 (2.1544)	Prec@1 48.438 (45.473)	Prec@5 73.438 (75.970)
Epoch: [54][1570/14090]	Time 0.722 (0.754)	Data 0.001 (0.004)	Loss 2.3053 (2.1551)	Prec@1 44.531 (45.468)	Prec@5 73.438 (75.962)
Epoch: [54][1580/14090]	Time 0.742 (0.754)	Data 0.001 (0.004)	Loss 2.1442 (2.1554)	Prec@1 42.969 (45.454)	Prec@5 80.469 (75.953)
Epoch: [54][1590/14090]	Time 0.728 (0.754)	Data 0.001 (0.004)	Loss 2.1241 (2.1554)	Prec@1 46.875 (45.450)	Prec@5 76.562 (75.961)
Epoch: [54][1600/14090]	Time 0.765 (0.754)	Data 0.002 (0.004)	Loss 1.9640 (2.1553)	Prec@1 51.562 (45.453)	Prec@5 80.469 (75.959)
Epoch: [54][1610/14090]	Time 0.737 (0.753)	Data 0.001 (0.004)	Loss 2.1380 (2.1557)	Prec@1 42.969 (45.445)	Prec@5 75.000 (75.947)
Epoch: [54][1620/14090]	Time 0.740 (0.753)	Data 0.001 (0.004)	Loss 2.3663 (2.1558)	Prec@1 44.531 (45.441)	Prec@5 72.656 (75.946)
Epoch: [54][1630/14090]	Time 0.764 (0.753)	Data 0.001 (0.004)	Loss 2.0535 (2.1556)	Prec@1 45.312 (45.445)	Prec@5 78.906 (75.952)
Epoch: [54][1640/14090]	Time 0.726 (0.753)	Data 0.001 (0.004)	Loss 2.0604 (2.1553)	Prec@1 53.125 (45.453)	Prec@5 75.000 (75.952)
Epoch: [54][1650/14090]	Time 0.740 (0.753)	Data 0.001 (0.004)	Loss 2.1228 (2.1547)	Prec@1 39.062 (45.465)	Prec@5 79.688 (75.965)
Epoch: [54][1660/14090]	Time 0.757 (0.753)	Data 0.001 (0.004)	Loss 2.2027 (2.1549)	Prec@1 41.406 (45.467)	Prec@5 78.125 (75.964)
Epoch: [54][1670/14090]	Time 0.757 (0.753)	Data 0.001 (0.004)	Loss 2.3207 (2.1553)	Prec@1 46.094 (45.462)	Prec@5 75.000 (75.952)
Epoch: [54][1680/14090]	Time 0.761 (0.753)	Data 0.001 (0.004)	Loss 1.9925 (2.1552)	Prec@1 50.781 (45.468)	Prec@5 81.250 (75.970)
Epoch: [54][1690/14090]	Time 0.748 (0.753)	Data 0.001 (0.004)	Loss 1.9472 (2.1553)	Prec@1 46.875 (45.470)	Prec@5 77.344 (75.967)
Epoch: [54][1700/14090]	Time 0.731 (0.753)	Data 0.001 (0.004)	Loss 2.0428 (2.1554)	Prec@1 46.094 (45.468)	Prec@5 79.688 (75.972)
Epoch: [54][1710/14090]	Time 0.758 (0.753)	Data 0.001 (0.004)	Loss 2.1827 (2.1553)	Prec@1 45.312 (45.479)	Prec@5 76.562 (75.972)
Epoch: [54][1720/14090]	Time 0.766 (0.753)	Data 0.001 (0.004)	Loss 2.1726 (2.1552)	Prec@1 43.750 (45.477)	Prec@5 78.125 (75.968)
Epoch: [54][1730/14090]	Time 0.740 (0.753)	Data 0.001 (0.004)	Loss 1.9175 (2.1553)	Prec@1 52.344 (45.472)	Prec@5 77.344 (75.960)
Epoch: [54][1740/14090]	Time 0.747 (0.753)	Data 0.001 (0.004)	Loss 1.8591 (2.1549)	Prec@1 49.219 (45.482)	Prec@5 79.688 (75.967)
Epoch: [54][1750/14090]	Time 0.733 (0.753)	Data 0.001 (0.004)	Loss 2.1415 (2.1547)	Prec@1 46.094 (45.483)	Prec@5 76.562 (75.965)
Epoch: [54][1760/14090]	Time 0.760 (0.753)	Data 0.001 (0.004)	Loss 2.3389 (2.1548)	Prec@1 40.625 (45.479)	Prec@5 76.562 (75.968)
Epoch: [54][1770/14090]	Time 0.740 (0.753)	Data 0.001 (0.004)	Loss 2.2216 (2.1547)	Prec@1 46.094 (45.489)	Prec@5 76.562 (75.967)
Epoch: [54][1780/14090]	Time 0.732 (0.753)	Data 0.001 (0.004)	Loss 1.8650 (2.1551)	Prec@1 54.688 (45.491)	Prec@5 79.688 (75.961)
Epoch: [54][1790/14090]	Time 0.733 (0.753)	Data 0.001 (0.004)	Loss 2.1350 (2.1548)	Prec@1 45.312 (45.494)	Prec@5 78.125 (75.967)
Epoch: [54][1800/14090]	Time 0.747 (0.753)	Data 0.001 (0.004)	Loss 2.1921 (2.1553)	Prec@1 39.062 (45.483)	Prec@5 75.000 (75.959)
Epoch: [54][1810/14090]	Time 0.773 (0.753)	Data 0.001 (0.004)	Loss 2.1118 (2.1552)	Prec@1 53.906 (45.484)	Prec@5 78.125 (75.962)
Epoch: [54][1820/14090]	Time 0.741 (0.753)	Data 0.001 (0.004)	Loss 2.1280 (2.1548)	Prec@1 48.438 (45.489)	Prec@5 76.562 (75.977)
Epoch: [54][1830/14090]	Time 0.775 (0.753)	Data 0.001 (0.004)	Loss 2.1407 (2.1550)	Prec@1 46.875 (45.480)	Prec@5 81.250 (75.972)
Epoch: [54][1840/14090]	Time 0.751 (0.753)	Data 0.001 (0.004)	Loss 2.0185 (2.1554)	Prec@1 42.969 (45.457)	Prec@5 81.250 (75.972)
Epoch: [54][1850/14090]	Time 0.763 (0.753)	Data 0.001 (0.004)	Loss 2.2773 (2.1553)	Prec@1 39.062 (45.460)	Prec@5 71.875 (75.969)
Epoch: [54][1860/14090]	Time 0.740 (0.753)	Data 0.001 (0.004)	Loss 2.4736 (2.1557)	Prec@1 42.969 (45.459)	Prec@5 68.750 (75.959)
Epoch: [54][1870/14090]	Time 0.749 (0.753)	Data 0.001 (0.004)	Loss 2.2126 (2.1554)	Prec@1 46.094 (45.462)	Prec@5 69.531 (75.960)
Epoch: [54][1880/14090]	Time 0.762 (0.753)	Data 0.001 (0.004)	Loss 1.8334 (2.1553)	Prec@1 55.469 (45.475)	Prec@5 82.031 (75.963)
Epoch: [54][1890/14090]	Time 0.757 (0.753)	Data 0.001 (0.004)	Loss 2.1594 (2.1553)	Prec@1 44.531 (45.471)	Prec@5 80.469 (75.968)
Epoch: [54][1900/14090]	Time 0.752 (0.753)	Data 0.001 (0.004)	Loss 2.2425 (2.1557)	Prec@1 36.719 (45.460)	Prec@5 75.781 (75.954)
Epoch: [54][1910/14090]	Time 0.754 (0.753)	Data 0.001 (0.004)	Loss 1.9662 (2.1554)	Prec@1 46.875 (45.470)	Prec@5 80.469 (75.962)
Epoch: [54][1920/14090]	Time 0.764 (0.753)	Data 0.001 (0.004)	Loss 2.1477 (2.1557)	Prec@1 44.531 (45.460)	Prec@5 76.562 (75.959)
Epoch: [54][1930/14090]	Time 0.736 (0.753)	Data 0.001 (0.004)	Loss 2.1982 (2.1559)	Prec@1 46.094 (45.452)	Prec@5 75.781 (75.959)
Epoch: [54][1940/14090]	Time 0.762 (0.753)	Data 0.001 (0.004)	Loss 2.5043 (2.1559)	Prec@1 35.938 (45.444)	Prec@5 65.625 (75.952)
Epoch: [54][1950/14090]	Time 0.728 (0.753)	Data 0.001 (0.004)	Loss 1.8817 (2.1565)	Prec@1 53.125 (45.430)	Prec@5 82.812 (75.939)
Epoch: [54][1960/14090]	Time 0.783 (0.753)	Data 0.001 (0.004)	Loss 2.1400 (2.1565)	Prec@1 45.312 (45.429)	Prec@5 78.906 (75.942)
Epoch: [54][1970/14090]	Time 0.747 (0.753)	Data 0.001 (0.004)	Loss 2.0320 (2.1565)	Prec@1 46.875 (45.432)	Prec@5 78.125 (75.934)
Epoch: [54][1980/14090]	Time 0.762 (0.753)	Data 0.001 (0.004)	Loss 2.1812 (2.1567)	Prec@1 48.438 (45.426)	Prec@5 75.000 (75.933)
Epoch: [54][1990/14090]	Time 0.749 (0.753)	Data 0.001 (0.004)	Loss 2.3636 (2.1572)	Prec@1 41.406 (45.411)	Prec@5 69.531 (75.917)
Epoch: [54][2000/14090]	Time 0.783 (0.753)	Data 0.001 (0.004)	Loss 2.1477 (2.1572)	Prec@1 43.750 (45.415)	Prec@5 74.219 (75.918)
Epoch: [54][2010/14090]	Time 0.771 (0.753)	Data 0.001 (0.004)	Loss 2.0715 (2.1574)	Prec@1 40.625 (45.409)	Prec@5 79.688 (75.916)
Epoch: [54][2020/14090]	Time 0.725 (0.753)	Data 0.001 (0.004)	Loss 2.3180 (2.1574)	Prec@1 43.750 (45.412)	Prec@5 72.656 (75.917)
Epoch: [54][2030/14090]	Time 0.763 (0.753)	Data 0.001 (0.004)	Loss 2.0619 (2.1577)	Prec@1 41.406 (45.408)	Prec@5 82.812 (75.914)
Epoch: [54][2040/14090]	Time 0.788 (0.753)	Data 0.001 (0.003)	Loss 2.0525 (2.1577)	Prec@1 45.312 (45.404)	Prec@5 75.000 (75.909)
Epoch: [54][2050/14090]	Time 0.750 (0.753)	Data 0.001 (0.003)	Loss 2.2561 (2.1578)	Prec@1 48.438 (45.403)	Prec@5 70.312 (75.908)
Epoch: [54][2060/14090]	Time 0.732 (0.753)	Data 0.001 (0.003)	Loss 1.8389 (2.1578)	Prec@1 51.562 (45.407)	Prec@5 82.031 (75.908)
Epoch: [54][2070/14090]	Time 0.728 (0.753)	Data 0.001 (0.003)	Loss 2.1663 (2.1579)	Prec@1 45.312 (45.400)	Prec@5 74.219 (75.908)
Epoch: [54][2080/14090]	Time 0.766 (0.753)	Data 0.001 (0.003)	Loss 2.1310 (2.1580)	Prec@1 48.438 (45.398)	Prec@5 75.781 (75.915)
Epoch: [54][2090/14090]	Time 0.754 (0.753)	Data 0.001 (0.003)	Loss 2.1852 (2.1582)	Prec@1 42.969 (45.395)	Prec@5 75.781 (75.910)
Epoch: [54][2100/14090]	Time 0.750 (0.753)	Data 0.000 (0.003)	Loss 2.1854 (2.1583)	Prec@1 43.750 (45.394)	Prec@5 74.219 (75.904)
Epoch: [54][2110/14090]	Time 0.774 (0.753)	Data 0.001 (0.003)	Loss 2.0226 (2.1580)	Prec@1 50.781 (45.391)	Prec@5 77.344 (75.910)
Epoch: [54][2120/14090]	Time 0.734 (0.753)	Data 0.001 (0.003)	Loss 1.8401 (2.1575)	Prec@1 50.000 (45.402)	Prec@5 84.375 (75.918)
Epoch: [54][2130/14090]	Time 0.732 (0.753)	Data 0.001 (0.003)	Loss 2.0990 (2.1573)	Prec@1 50.000 (45.406)	Prec@5 75.000 (75.921)
Epoch: [54][2140/14090]	Time 0.739 (0.752)	Data 0.001 (0.003)	Loss 2.0353 (2.1574)	Prec@1 42.969 (45.414)	Prec@5 80.469 (75.914)
Epoch: [54][2150/14090]	Time 0.761 (0.753)	Data 0.001 (0.003)	Loss 1.6321 (2.1576)	Prec@1 56.250 (45.413)	Prec@5 86.719 (75.909)
Epoch: [54][2160/14090]	Time 0.752 (0.753)	Data 0.001 (0.003)	Loss 2.3507 (2.1575)	Prec@1 41.406 (45.421)	Prec@5 71.875 (75.914)
Epoch: [54][2170/14090]	Time 0.755 (0.753)	Data 0.001 (0.003)	Loss 2.1510 (2.1576)	Prec@1 42.969 (45.425)	Prec@5 76.562 (75.913)
Epoch: [54][2180/14090]	Time 0.742 (0.753)	Data 0.002 (0.003)	Loss 2.2871 (2.1576)	Prec@1 40.625 (45.425)	Prec@5 71.094 (75.912)
Epoch: [54][2190/14090]	Time 0.753 (0.752)	Data 0.001 (0.003)	Loss 1.9371 (2.1572)	Prec@1 52.344 (45.432)	Prec@5 78.906 (75.922)
Epoch: [54][2200/14090]	Time 0.727 (0.752)	Data 0.001 (0.003)	Loss 2.3267 (2.1573)	Prec@1 42.188 (45.433)	Prec@5 77.344 (75.925)
Epoch: [54][2210/14090]	Time 0.780 (0.752)	Data 0.001 (0.003)	Loss 2.2937 (2.1574)	Prec@1 43.750 (45.422)	Prec@5 73.438 (75.924)
Epoch: [54][2220/14090]	Time 0.753 (0.752)	Data 0.001 (0.003)	Loss 2.4557 (2.1577)	Prec@1 39.062 (45.411)	Prec@5 68.750 (75.921)
Epoch: [54][2230/14090]	Time 0.743 (0.752)	Data 0.001 (0.003)	Loss 2.0136 (2.1582)	Prec@1 47.656 (45.405)	Prec@5 81.250 (75.916)
Epoch: [54][2240/14090]	Time 0.762 (0.752)	Data 0.001 (0.003)	Loss 2.2218 (2.1581)	Prec@1 46.094 (45.406)	Prec@5 69.531 (75.913)
Epoch: [54][2250/14090]	Time 0.769 (0.752)	Data 0.001 (0.003)	Loss 2.1467 (2.1580)	Prec@1 42.188 (45.401)	Prec@5 76.562 (75.909)
Epoch: [54][2260/14090]	Time 0.767 (0.752)	Data 0.001 (0.003)	Loss 2.1818 (2.1581)	Prec@1 42.188 (45.401)	Prec@5 75.000 (75.907)
Epoch: [54][2270/14090]	Time 0.763 (0.752)	Data 0.001 (0.003)	Loss 2.1716 (2.1582)	Prec@1 43.750 (45.399)	Prec@5 79.688 (75.909)
Epoch: [54][2280/14090]	Time 0.742 (0.752)	Data 0.001 (0.003)	Loss 2.1536 (2.1583)	Prec@1 50.781 (45.394)	Prec@5 75.000 (75.902)
Epoch: [54][2290/14090]	Time 0.746 (0.752)	Data 0.001 (0.003)	Loss 2.3577 (2.1584)	Prec@1 39.844 (45.392)	Prec@5 71.875 (75.905)
Epoch: [54][2300/14090]	Time 0.727 (0.752)	Data 0.001 (0.003)	Loss 2.1720 (2.1586)	Prec@1 49.219 (45.394)	Prec@5 77.344 (75.900)
Epoch: [54][2310/14090]	Time 0.753 (0.752)	Data 0.001 (0.003)	Loss 2.2204 (2.1586)	Prec@1 45.312 (45.403)	Prec@5 75.781 (75.899)
Epoch: [54][2320/14090]	Time 0.761 (0.752)	Data 0.001 (0.003)	Loss 2.1065 (2.1581)	Prec@1 47.656 (45.415)	Prec@5 76.562 (75.905)
Epoch: [54][2330/14090]	Time 0.748 (0.752)	Data 0.001 (0.003)	Loss 2.2831 (2.1581)	Prec@1 47.656 (45.410)	Prec@5 71.094 (75.908)
Epoch: [54][2340/14090]	Time 0.750 (0.752)	Data 0.001 (0.003)	Loss 1.8280 (2.1578)	Prec@1 50.781 (45.418)	Prec@5 82.812 (75.914)
Epoch: [54][2350/14090]	Time 0.733 (0.752)	Data 0.001 (0.003)	Loss 2.1333 (2.1575)	Prec@1 42.969 (45.422)	Prec@5 79.688 (75.920)
Epoch: [54][2360/14090]	Time 0.754 (0.752)	Data 0.001 (0.003)	Loss 2.0725 (2.1576)	Prec@1 46.875 (45.419)	Prec@5 77.344 (75.915)
Epoch: [54][2370/14090]	Time 0.749 (0.752)	Data 0.001 (0.003)	Loss 2.1747 (2.1582)	Prec@1 42.188 (45.411)	Prec@5 73.438 (75.904)
Epoch: [54][2380/14090]	Time 0.730 (0.753)	Data 0.001 (0.003)	Loss 2.2175 (2.1582)	Prec@1 47.656 (45.410)	Prec@5 72.656 (75.905)
Epoch: [54][2390/14090]	Time 0.732 (0.753)	Data 0.001 (0.003)	Loss 2.1799 (2.1583)	Prec@1 42.188 (45.407)	Prec@5 76.562 (75.907)
Epoch: [54][2400/14090]	Time 0.739 (0.753)	Data 0.001 (0.003)	Loss 2.1907 (2.1584)	Prec@1 42.969 (45.391)	Prec@5 78.906 (75.908)
Epoch: [54][2410/14090]	Time 0.784 (0.753)	Data 0.001 (0.003)	Loss 2.0885 (2.1583)	Prec@1 45.312 (45.395)	Prec@5 76.562 (75.907)
Epoch: [54][2420/14090]	Time 0.742 (0.752)	Data 0.001 (0.003)	Loss 2.2965 (2.1580)	Prec@1 41.406 (45.401)	Prec@5 71.875 (75.912)
Epoch: [54][2430/14090]	Time 0.754 (0.752)	Data 0.001 (0.003)	Loss 1.9476 (2.1581)	Prec@1 54.688 (45.400)	Prec@5 81.250 (75.908)
Epoch: [54][2440/14090]	Time 0.753 (0.753)	Data 0.001 (0.003)	Loss 2.3121 (2.1583)	Prec@1 45.312 (45.398)	Prec@5 74.219 (75.901)
Epoch: [54][2450/14090]	Time 0.734 (0.752)	Data 0.001 (0.003)	Loss 2.1136 (2.1583)	Prec@1 44.531 (45.396)	Prec@5 77.344 (75.902)
Epoch: [54][2460/14090]	Time 0.725 (0.752)	Data 0.001 (0.003)	Loss 2.7356 (2.1586)	Prec@1 32.031 (45.389)	Prec@5 66.406 (75.898)
Epoch: [54][2470/14090]	Time 0.871 (0.753)	Data 0.001 (0.003)	Loss 2.2647 (2.1585)	Prec@1 44.531 (45.393)	Prec@5 69.531 (75.902)
Epoch: [54][2480/14090]	Time 0.775 (0.753)	Data 0.001 (0.003)	Loss 2.1517 (2.1587)	Prec@1 44.531 (45.386)	Prec@5 78.125 (75.893)
Epoch: [54][2490/14090]	Time 0.729 (0.752)	Data 0.001 (0.003)	Loss 2.4449 (2.1587)	Prec@1 42.969 (45.389)	Prec@5 67.188 (75.890)
Epoch: [54][2500/14090]	Time 0.738 (0.752)	Data 0.001 (0.003)	Loss 2.2052 (2.1584)	Prec@1 42.188 (45.396)	Prec@5 75.000 (75.898)
Epoch: [54][2510/14090]	Time 0.781 (0.752)	Data 0.001 (0.003)	Loss 1.9503 (2.1585)	Prec@1 47.656 (45.393)	Prec@5 78.125 (75.897)
Epoch: [54][2520/14090]	Time 0.750 (0.752)	Data 0.001 (0.003)	Loss 2.0052 (2.1581)	Prec@1 45.312 (45.401)	Prec@5 79.688 (75.905)
Epoch: [54][2530/14090]	Time 0.750 (0.752)	Data 0.001 (0.003)	Loss 2.2810 (2.1584)	Prec@1 46.875 (45.403)	Prec@5 71.094 (75.893)
Epoch: [54][2540/14090]	Time 0.732 (0.752)	Data 0.001 (0.003)	Loss 1.8514 (2.1581)	Prec@1 54.688 (45.409)	Prec@5 83.594 (75.900)
Epoch: [54][2550/14090]	Time 0.759 (0.752)	Data 0.001 (0.003)	Loss 2.3710 (2.1582)	Prec@1 39.844 (45.403)	Prec@5 75.781 (75.897)
Epoch: [54][2560/14090]	Time 0.755 (0.752)	Data 0.001 (0.003)	Loss 1.9945 (2.1585)	Prec@1 48.438 (45.395)	Prec@5 73.438 (75.890)
Epoch: [54][2570/14090]	Time 0.730 (0.752)	Data 0.001 (0.003)	Loss 2.5083 (2.1584)	Prec@1 39.062 (45.396)	Prec@5 71.875 (75.895)
Epoch: [54][2580/14090]	Time 0.766 (0.752)	Data 0.001 (0.003)	Loss 2.3149 (2.1585)	Prec@1 43.750 (45.398)	Prec@5 77.344 (75.894)
Epoch: [54][2590/14090]	Time 0.765 (0.752)	Data 0.001 (0.003)	Loss 1.9622 (2.1585)	Prec@1 47.656 (45.396)	Prec@5 79.688 (75.893)
Epoch: [54][2600/14090]	Time 0.761 (0.752)	Data 0.001 (0.003)	Loss 2.2912 (2.1586)	Prec@1 46.875 (45.399)	Prec@5 73.438 (75.885)
Epoch: [54][2610/14090]	Time 0.741 (0.752)	Data 0.001 (0.003)	Loss 2.3227 (2.1584)	Prec@1 39.062 (45.397)	Prec@5 74.219 (75.887)
Epoch: [54][2620/14090]	Time 0.724 (0.752)	Data 0.001 (0.003)	Loss 2.0484 (2.1585)	Prec@1 49.219 (45.399)	Prec@5 77.344 (75.890)
Epoch: [54][2630/14090]	Time 0.730 (0.752)	Data 0.001 (0.003)	Loss 1.9951 (2.1587)	Prec@1 46.875 (45.393)	Prec@5 78.906 (75.889)
Epoch: [54][2640/14090]	Time 0.775 (0.752)	Data 0.001 (0.003)	Loss 2.2169 (2.1587)	Prec@1 44.531 (45.391)	Prec@5 73.438 (75.891)
Epoch: [54][2650/14090]	Time 0.746 (0.752)	Data 0.001 (0.003)	Loss 2.2737 (2.1586)	Prec@1 39.844 (45.388)	Prec@5 74.219 (75.891)
Epoch: [54][2660/14090]	Time 0.780 (0.752)	Data 0.001 (0.003)	Loss 2.5196 (2.1591)	Prec@1 36.719 (45.377)	Prec@5 66.406 (75.884)
Epoch: [54][2670/14090]	Time 0.748 (0.752)	Data 0.001 (0.003)	Loss 2.3231 (2.1591)	Prec@1 35.156 (45.372)	Prec@5 75.000 (75.885)
Epoch: [54][2680/14090]	Time 0.734 (0.752)	Data 0.001 (0.003)	Loss 2.2677 (2.1592)	Prec@1 47.656 (45.372)	Prec@5 71.875 (75.888)
Epoch: [54][2690/14090]	Time 0.758 (0.752)	Data 0.001 (0.003)	Loss 2.1354 (2.1594)	Prec@1 45.312 (45.369)	Prec@5 79.688 (75.887)
Epoch: [54][2700/14090]	Time 0.763 (0.752)	Data 0.001 (0.003)	Loss 2.2687 (2.1596)	Prec@1 47.656 (45.368)	Prec@5 73.438 (75.883)
Epoch: [54][2710/14090]	Time 0.738 (0.752)	Data 0.001 (0.003)	Loss 1.9772 (2.1594)	Prec@1 46.875 (45.373)	Prec@5 81.250 (75.886)
Epoch: [54][2720/14090]	Time 0.759 (0.752)	Data 0.001 (0.003)	Loss 2.1442 (2.1596)	Prec@1 45.312 (45.373)	Prec@5 76.562 (75.880)
Epoch: [54][2730/14090]	Time 0.725 (0.752)	Data 0.001 (0.003)	Loss 2.0298 (2.1596)	Prec@1 43.750 (45.370)	Prec@5 75.781 (75.880)
Epoch: [54][2740/14090]	Time 0.756 (0.752)	Data 0.001 (0.003)	Loss 2.1512 (2.1595)	Prec@1 48.438 (45.372)	Prec@5 78.125 (75.882)
Epoch: [54][2750/14090]	Time 0.853 (0.752)	Data 0.001 (0.003)	Loss 2.2950 (2.1596)	Prec@1 42.969 (45.372)	Prec@5 71.094 (75.877)
Epoch: [54][2760/14090]	Time 0.742 (0.752)	Data 0.001 (0.003)	Loss 2.0932 (2.1596)	Prec@1 42.969 (45.374)	Prec@5 78.125 (75.875)
Epoch: [54][2770/14090]	Time 0.724 (0.752)	Data 0.001 (0.003)	Loss 2.2056 (2.1597)	Prec@1 41.406 (45.369)	Prec@5 77.344 (75.874)
Epoch: [54][2780/14090]	Time 0.743 (0.752)	Data 0.001 (0.003)	Loss 2.1083 (2.1598)	Prec@1 46.875 (45.366)	Prec@5 74.219 (75.873)
Epoch: [54][2790/14090]	Time 0.722 (0.752)	Data 0.001 (0.003)	Loss 2.2143 (2.1597)	Prec@1 42.969 (45.363)	Prec@5 76.562 (75.874)
Epoch: [54][2800/14090]	Time 0.759 (0.752)	Data 0.000 (0.003)	Loss 2.1203 (2.1597)	Prec@1 43.750 (45.364)	Prec@5 78.906 (75.876)
Epoch: [54][2810/14090]	Time 0.728 (0.752)	Data 0.001 (0.003)	Loss 2.0265 (2.1598)	Prec@1 46.875 (45.358)	Prec@5 77.344 (75.874)
Epoch: [54][2820/14090]	Time 0.766 (0.752)	Data 0.001 (0.003)	Loss 2.0004 (2.1595)	Prec@1 44.531 (45.362)	Prec@5 79.688 (75.877)
Epoch: [54][2830/14090]	Time 0.723 (0.752)	Data 0.001 (0.003)	Loss 2.2565 (2.1593)	Prec@1 42.969 (45.360)	Prec@5 73.438 (75.881)
Epoch: [54][2840/14090]	Time 0.754 (0.752)	Data 0.001 (0.003)	Loss 2.1527 (2.1595)	Prec@1 49.219 (45.358)	Prec@5 79.688 (75.880)
Epoch: [54][2850/14090]	Time 0.741 (0.752)	Data 0.001 (0.003)	Loss 2.1418 (2.1595)	Prec@1 42.969 (45.355)	Prec@5 71.094 (75.874)
Epoch: [54][2860/14090]	Time 0.772 (0.752)	Data 0.001 (0.003)	Loss 2.4467 (2.1597)	Prec@1 37.500 (45.347)	Prec@5 68.750 (75.876)
Epoch: [54][2870/14090]	Time 0.731 (0.752)	Data 0.001 (0.003)	Loss 2.3631 (2.1599)	Prec@1 35.938 (45.343)	Prec@5 71.875 (75.870)
Epoch: [54][2880/14090]	Time 0.767 (0.752)	Data 0.001 (0.003)	Loss 2.1175 (2.1597)	Prec@1 52.344 (45.342)	Prec@5 76.562 (75.872)
Epoch: [54][2890/14090]	Time 0.780 (0.752)	Data 0.001 (0.003)	Loss 2.3006 (2.1598)	Prec@1 39.844 (45.332)	Prec@5 70.312 (75.871)
Epoch: [54][2900/14090]	Time 0.725 (0.752)	Data 0.001 (0.003)	Loss 2.1720 (2.1597)	Prec@1 46.875 (45.331)	Prec@5 71.875 (75.867)
Epoch: [54][2910/14090]	Time 0.732 (0.752)	Data 0.001 (0.003)	Loss 2.0039 (2.1595)	Prec@1 47.656 (45.339)	Prec@5 79.688 (75.874)
Epoch: [54][2920/14090]	Time 0.763 (0.752)	Data 0.001 (0.003)	Loss 2.3211 (2.1596)	Prec@1 39.844 (45.335)	Prec@5 72.656 (75.868)
Epoch: [54][2930/14090]	Time 0.750 (0.752)	Data 0.001 (0.003)	Loss 2.1813 (2.1600)	Prec@1 48.438 (45.326)	Prec@5 73.438 (75.861)
Epoch: [54][2940/14090]	Time 0.753 (0.752)	Data 0.001 (0.003)	Loss 2.1606 (2.1599)	Prec@1 43.750 (45.329)	Prec@5 77.344 (75.864)
Epoch: [54][2950/14090]	Time 0.755 (0.752)	Data 0.002 (0.003)	Loss 2.3504 (2.1600)	Prec@1 41.406 (45.333)	Prec@5 74.219 (75.863)
Epoch: [54][2960/14090]	Time 0.752 (0.752)	Data 0.001 (0.003)	Loss 2.3915 (2.1599)	Prec@1 43.750 (45.339)	Prec@5 74.219 (75.868)
Epoch: [54][2970/14090]	Time 0.730 (0.752)	Data 0.001 (0.003)	Loss 2.0506 (2.1600)	Prec@1 50.781 (45.343)	Prec@5 76.562 (75.867)
Epoch: [54][2980/14090]	Time 0.726 (0.752)	Data 0.001 (0.003)	Loss 2.3627 (2.1601)	Prec@1 40.625 (45.341)	Prec@5 74.219 (75.868)
Epoch: [54][2990/14090]	Time 0.752 (0.752)	Data 0.001 (0.003)	Loss 2.2927 (2.1601)	Prec@1 46.094 (45.340)	Prec@5 71.875 (75.870)
Epoch: [54][3000/14090]	Time 0.734 (0.752)	Data 0.001 (0.003)	Loss 2.3860 (2.1604)	Prec@1 40.625 (45.334)	Prec@5 69.531 (75.860)
Epoch: [54][3010/14090]	Time 0.758 (0.752)	Data 0.001 (0.003)	Loss 2.0621 (2.1607)	Prec@1 43.750 (45.322)	Prec@5 78.125 (75.854)
Epoch: [54][3020/14090]	Time 0.733 (0.752)	Data 0.001 (0.003)	Loss 2.0233 (2.1606)	Prec@1 55.469 (45.333)	Prec@5 78.125 (75.853)
Epoch: [54][3030/14090]	Time 0.758 (0.752)	Data 0.001 (0.003)	Loss 2.2788 (2.1606)	Prec@1 43.750 (45.332)	Prec@5 75.000 (75.854)
Epoch: [54][3040/14090]	Time 0.728 (0.752)	Data 0.001 (0.003)	Loss 1.8941 (2.1606)	Prec@1 50.781 (45.335)	Prec@5 82.031 (75.856)
Epoch: [54][3050/14090]	Time 0.772 (0.752)	Data 0.001 (0.003)	Loss 1.9657 (2.1608)	Prec@1 53.125 (45.334)	Prec@5 80.469 (75.851)
Epoch: [54][3060/14090]	Time 0.726 (0.752)	Data 0.001 (0.003)	Loss 2.0198 (2.1608)	Prec@1 47.656 (45.336)	Prec@5 81.250 (75.853)
Epoch: [54][3070/14090]	Time 0.737 (0.752)	Data 0.001 (0.003)	Loss 2.0010 (2.1607)	Prec@1 48.438 (45.337)	Prec@5 82.031 (75.853)
Epoch: [54][3080/14090]	Time 0.748 (0.752)	Data 0.001 (0.003)	Loss 2.3290 (2.1609)	Prec@1 44.531 (45.332)	Prec@5 66.406 (75.849)
Epoch: [54][3090/14090]	Time 0.728 (0.752)	Data 0.001 (0.003)	Loss 2.2813 (2.1609)	Prec@1 37.500 (45.332)	Prec@5 75.781 (75.845)
Epoch: [54][3100/14090]	Time 0.766 (0.752)	Data 0.001 (0.003)	Loss 1.9982 (2.1610)	Prec@1 43.750 (45.325)	Prec@5 76.562 (75.841)
Epoch: [54][3110/14090]	Time 0.761 (0.752)	Data 0.001 (0.003)	Loss 2.2976 (2.1612)	Prec@1 42.188 (45.317)	Prec@5 72.656 (75.836)
Epoch: [54][3120/14090]	Time 0.726 (0.752)	Data 0.001 (0.003)	Loss 2.0175 (2.1610)	Prec@1 46.875 (45.324)	Prec@5 76.562 (75.833)
Epoch: [54][3130/14090]	Time 0.749 (0.752)	Data 0.001 (0.003)	Loss 2.1284 (2.1610)	Prec@1 45.312 (45.324)	Prec@5 75.000 (75.829)
Epoch: [54][3140/14090]	Time 0.758 (0.752)	Data 0.001 (0.003)	Loss 2.0728 (2.1610)	Prec@1 50.000 (45.328)	Prec@5 81.250 (75.828)
Epoch: [54][3150/14090]	Time 0.795 (0.752)	Data 0.001 (0.003)	Loss 2.1867 (2.1610)	Prec@1 44.531 (45.326)	Prec@5 76.562 (75.825)
Epoch: [54][3160/14090]	Time 0.784 (0.752)	Data 0.001 (0.003)	Loss 2.2606 (2.1612)	Prec@1 39.062 (45.322)	Prec@5 72.656 (75.818)
Epoch: [54][3170/14090]	Time 0.757 (0.752)	Data 0.001 (0.003)	Loss 2.1514 (2.1611)	Prec@1 47.656 (45.324)	Prec@5 76.562 (75.821)
Epoch: [54][3180/14090]	Time 0.755 (0.752)	Data 0.001 (0.003)	Loss 2.1527 (2.1611)	Prec@1 46.094 (45.324)	Prec@5 78.906 (75.823)
Epoch: [54][3190/14090]	Time 0.752 (0.752)	Data 0.001 (0.003)	Loss 2.2098 (2.1610)	Prec@1 40.625 (45.326)	Prec@5 78.906 (75.822)
Epoch: [54][3200/14090]	Time 0.728 (0.752)	Data 0.001 (0.003)	Loss 2.4015 (2.1614)	Prec@1 37.500 (45.319)	Prec@5 70.312 (75.813)
Epoch: [54][3210/14090]	Time 0.740 (0.752)	Data 0.001 (0.003)	Loss 2.3729 (2.1615)	Prec@1 37.500 (45.318)	Prec@5 77.344 (75.813)
Epoch: [54][3220/14090]	Time 0.736 (0.752)	Data 0.001 (0.003)	Loss 1.9777 (2.1614)	Prec@1 49.219 (45.318)	Prec@5 77.344 (75.814)
Epoch: [54][3230/14090]	Time 0.756 (0.752)	Data 0.001 (0.003)	Loss 2.4158 (2.1611)	Prec@1 41.406 (45.322)	Prec@5 73.438 (75.818)
Epoch: [54][3240/14090]	Time 0.726 (0.752)	Data 0.001 (0.003)	Loss 2.2580 (2.1609)	Prec@1 42.969 (45.324)	Prec@5 75.000 (75.822)
Epoch: [54][3250/14090]	Time 0.761 (0.752)	Data 0.001 (0.003)	Loss 2.4214 (2.1611)	Prec@1 42.969 (45.319)	Prec@5 69.531 (75.815)
Epoch: [54][3260/14090]	Time 0.733 (0.752)	Data 0.001 (0.002)	Loss 2.2510 (2.1610)	Prec@1 39.062 (45.321)	Prec@5 79.688 (75.819)
Epoch: [54][3270/14090]	Time 0.730 (0.752)	Data 0.001 (0.002)	Loss 1.9900 (2.1609)	Prec@1 50.781 (45.318)	Prec@5 80.469 (75.819)
Epoch: [54][3280/14090]	Time 0.738 (0.752)	Data 0.001 (0.002)	Loss 2.0448 (2.1608)	Prec@1 44.531 (45.315)	Prec@5 80.469 (75.826)
Epoch: [54][3290/14090]	Time 0.784 (0.752)	Data 0.001 (0.002)	Loss 2.1412 (2.1609)	Prec@1 42.969 (45.308)	Prec@5 78.906 (75.825)
Epoch: [54][3300/14090]	Time 0.745 (0.752)	Data 0.001 (0.002)	Loss 2.2293 (2.1610)	Prec@1 42.188 (45.311)	Prec@5 74.219 (75.826)
Epoch: [54][3310/14090]	Time 0.880 (0.752)	Data 0.001 (0.002)	Loss 2.1085 (2.1610)	Prec@1 46.875 (45.309)	Prec@5 78.125 (75.827)
Epoch: [54][3320/14090]	Time 0.733 (0.752)	Data 0.001 (0.002)	Loss 1.9991 (2.1610)	Prec@1 50.000 (45.310)	Prec@5 80.469 (75.826)
Epoch: [54][3330/14090]	Time 0.741 (0.752)	Data 0.001 (0.002)	Loss 2.1138 (2.1607)	Prec@1 44.531 (45.315)	Prec@5 74.219 (75.831)
Epoch: [54][3340/14090]	Time 0.767 (0.752)	Data 0.001 (0.002)	Loss 2.4882 (2.1608)	Prec@1 37.500 (45.313)	Prec@5 71.875 (75.830)
Epoch: [54][3350/14090]	Time 0.745 (0.752)	Data 0.001 (0.002)	Loss 2.1841 (2.1609)	Prec@1 42.969 (45.310)	Prec@5 77.344 (75.827)
Epoch: [54][3360/14090]	Time 0.745 (0.752)	Data 0.001 (0.002)	Loss 2.0905 (2.1611)	Prec@1 45.312 (45.302)	Prec@5 78.125 (75.825)
Epoch: [54][3370/14090]	Time 0.746 (0.752)	Data 0.001 (0.002)	Loss 2.2185 (2.1613)	Prec@1 40.625 (45.299)	Prec@5 75.781 (75.819)
Epoch: [54][3380/14090]	Time 0.760 (0.752)	Data 0.001 (0.002)	Loss 2.4497 (2.1613)	Prec@1 40.625 (45.296)	Prec@5 71.094 (75.818)
Epoch: [54][3390/14090]	Time 0.721 (0.752)	Data 0.001 (0.002)	Loss 2.0979 (2.1613)	Prec@1 46.875 (45.297)	Prec@5 80.469 (75.817)
Epoch: [54][3400/14090]	Time 0.749 (0.752)	Data 0.001 (0.002)	Loss 2.2826 (2.1614)	Prec@1 44.531 (45.302)	Prec@5 76.562 (75.815)
Epoch: [54][3410/14090]	Time 0.760 (0.752)	Data 0.001 (0.002)	Loss 2.2210 (2.1616)	Prec@1 41.406 (45.294)	Prec@5 76.562 (75.814)
Epoch: [54][3420/14090]	Time 0.730 (0.752)	Data 0.001 (0.002)	Loss 2.0166 (2.1616)	Prec@1 46.875 (45.291)	Prec@5 77.344 (75.812)
Epoch: [54][3430/14090]	Time 0.741 (0.752)	Data 0.001 (0.002)	Loss 2.3250 (2.1616)	Prec@1 46.094 (45.290)	Prec@5 75.000 (75.812)
Epoch: [54][3440/14090]	Time 0.778 (0.752)	Data 0.001 (0.002)	Loss 2.0299 (2.1616)	Prec@1 43.750 (45.290)	Prec@5 79.688 (75.811)
Epoch: [54][3450/14090]	Time 0.864 (0.752)	Data 0.001 (0.002)	Loss 2.2296 (2.1616)	Prec@1 42.188 (45.291)	Prec@5 72.656 (75.813)
Epoch: [54][3460/14090]	Time 0.730 (0.752)	Data 0.001 (0.002)	Loss 2.0928 (2.1615)	Prec@1 47.656 (45.292)	Prec@5 77.344 (75.814)
Epoch: [54][3470/14090]	Time 0.765 (0.752)	Data 0.001 (0.002)	Loss 2.0215 (2.1615)	Prec@1 49.219 (45.295)	Prec@5 75.000 (75.814)
Epoch: [54][3480/14090]	Time 0.762 (0.752)	Data 0.001 (0.002)	Loss 2.4090 (2.1615)	Prec@1 40.625 (45.291)	Prec@5 68.750 (75.815)
Epoch: [54][3490/14090]	Time 0.757 (0.752)	Data 0.001 (0.002)	Loss 2.0291 (2.1616)	Prec@1 50.781 (45.288)	Prec@5 77.344 (75.814)
Epoch: [54][3500/14090]	Time 0.733 (0.752)	Data 0.001 (0.002)	Loss 2.2093 (2.1612)	Prec@1 39.844 (45.294)	Prec@5 75.781 (75.821)
Epoch: [54][3510/14090]	Time 0.736 (0.752)	Data 0.001 (0.002)	Loss 2.5567 (2.1616)	Prec@1 36.719 (45.293)	Prec@5 68.750 (75.816)
Epoch: [54][3520/14090]	Time 0.738 (0.752)	Data 0.001 (0.002)	Loss 2.4641 (2.1619)	Prec@1 40.625 (45.290)	Prec@5 75.000 (75.812)
Epoch: [54][3530/14090]	Time 0.738 (0.752)	Data 0.001 (0.002)	Loss 2.1339 (2.1619)	Prec@1 47.656 (45.284)	Prec@5 79.688 (75.810)
Epoch: [54][3540/14090]	Time 0.771 (0.752)	Data 0.001 (0.002)	Loss 2.0071 (2.1618)	Prec@1 54.688 (45.290)	Prec@5 80.469 (75.808)
Epoch: [54][3550/14090]	Time 0.739 (0.752)	Data 0.001 (0.002)	Loss 2.3262 (2.1620)	Prec@1 38.281 (45.288)	Prec@5 70.312 (75.802)
Epoch: [54][3560/14090]	Time 0.771 (0.752)	Data 0.001 (0.002)	Loss 2.0630 (2.1616)	Prec@1 51.562 (45.296)	Prec@5 76.562 (75.808)
Epoch: [54][3570/14090]	Time 0.742 (0.752)	Data 0.001 (0.002)	Loss 2.2139 (2.1620)	Prec@1 47.656 (45.291)	Prec@5 78.125 (75.799)
Epoch: [54][3580/14090]	Time 0.755 (0.752)	Data 0.001 (0.002)	Loss 2.1749 (2.1621)	Prec@1 48.438 (45.292)	Prec@5 72.656 (75.795)
Epoch: [54][3590/14090]	Time 0.870 (0.752)	Data 0.001 (0.002)	Loss 2.0715 (2.1619)	Prec@1 48.438 (45.302)	Prec@5 77.344 (75.801)
Epoch: [54][3600/14090]	Time 0.734 (0.752)	Data 0.001 (0.002)	Loss 1.9109 (2.1621)	Prec@1 46.094 (45.298)	Prec@5 78.906 (75.799)
Epoch: [54][3610/14090]	Time 0.724 (0.752)	Data 0.001 (0.002)	Loss 2.3162 (2.1622)	Prec@1 36.719 (45.298)	Prec@5 75.781 (75.797)
Epoch: [54][3620/14090]	Time 0.753 (0.752)	Data 0.001 (0.002)	Loss 1.8183 (2.1619)	Prec@1 55.469 (45.304)	Prec@5 81.250 (75.804)
Epoch: [54][3630/14090]	Time 0.754 (0.752)	Data 0.001 (0.002)	Loss 2.1815 (2.1618)	Prec@1 43.750 (45.301)	Prec@5 75.000 (75.807)
Epoch: [54][3640/14090]	Time 0.756 (0.752)	Data 0.001 (0.002)	Loss 2.2565 (2.1619)	Prec@1 44.531 (45.301)	Prec@5 75.781 (75.810)
Epoch: [54][3650/14090]	Time 0.724 (0.752)	Data 0.001 (0.002)	Loss 2.1593 (2.1621)	Prec@1 45.312 (45.304)	Prec@5 71.875 (75.804)
Epoch: [54][3660/14090]	Time 0.730 (0.752)	Data 0.001 (0.002)	Loss 2.0482 (2.1620)	Prec@1 46.875 (45.306)	Prec@5 77.344 (75.808)
Epoch: [54][3670/14090]	Time 0.753 (0.752)	Data 0.001 (0.002)	Loss 2.0178 (2.1621)	Prec@1 46.094 (45.298)	Prec@5 78.906 (75.803)
Epoch: [54][3680/14090]	Time 0.740 (0.752)	Data 0.001 (0.002)	Loss 2.2038 (2.1622)	Prec@1 42.969 (45.299)	Prec@5 76.562 (75.803)
Epoch: [54][3690/14090]	Time 0.740 (0.752)	Data 0.001 (0.002)	Loss 2.1367 (2.1623)	Prec@1 46.875 (45.302)	Prec@5 74.219 (75.802)
Epoch: [54][3700/14090]	Time 0.754 (0.752)	Data 0.001 (0.002)	Loss 1.9470 (2.1625)	Prec@1 48.438 (45.299)	Prec@5 79.688 (75.797)
Epoch: [54][3710/14090]	Time 0.741 (0.752)	Data 0.001 (0.002)	Loss 2.2195 (2.1624)	Prec@1 39.844 (45.303)	Prec@5 74.219 (75.797)
Epoch: [54][3720/14090]	Time 0.760 (0.752)	Data 0.001 (0.002)	Loss 2.3089 (2.1625)	Prec@1 41.406 (45.300)	Prec@5 74.219 (75.793)
Epoch: [54][3730/14090]	Time 0.753 (0.752)	Data 0.001 (0.002)	Loss 1.9328 (2.1622)	Prec@1 53.125 (45.299)	Prec@5 81.250 (75.799)
Epoch: [54][3740/14090]	Time 0.743 (0.752)	Data 0.001 (0.002)	Loss 2.2876 (2.1624)	Prec@1 43.750 (45.296)	Prec@5 75.000 (75.801)
Epoch: [54][3750/14090]	Time 0.750 (0.752)	Data 0.001 (0.002)	Loss 2.1793 (2.1625)	Prec@1 43.750 (45.292)	Prec@5 75.000 (75.798)
Epoch: [54][3760/14090]	Time 0.730 (0.752)	Data 0.001 (0.002)	Loss 2.1681 (2.1626)	Prec@1 44.531 (45.291)	Prec@5 71.875 (75.797)
Epoch: [54][3770/14090]	Time 0.737 (0.752)	Data 0.001 (0.002)	Loss 2.1931 (2.1626)	Prec@1 44.531 (45.289)	Prec@5 76.562 (75.797)
Epoch: [54][3780/14090]	Time 0.751 (0.752)	Data 0.001 (0.002)	Loss 2.2443 (2.1628)	Prec@1 44.531 (45.285)	Prec@5 73.438 (75.795)
Epoch: [54][3790/14090]	Time 0.736 (0.752)	Data 0.001 (0.002)	Loss 2.3626 (2.1628)	Prec@1 42.188 (45.283)	Prec@5 69.531 (75.795)
Epoch: [54][3800/14090]	Time 0.733 (0.752)	Data 0.001 (0.002)	Loss 2.0755 (2.1627)	Prec@1 45.312 (45.287)	Prec@5 74.219 (75.799)
Epoch: [54][3810/14090]	Time 0.751 (0.752)	Data 0.001 (0.002)	Loss 2.2601 (2.1628)	Prec@1 45.312 (45.288)	Prec@5 75.000 (75.796)
Epoch: [54][3820/14090]	Time 0.751 (0.752)	Data 0.001 (0.002)	Loss 2.2792 (2.1628)	Prec@1 43.750 (45.291)	Prec@5 69.531 (75.796)
Epoch: [54][3830/14090]	Time 0.759 (0.752)	Data 0.001 (0.002)	Loss 2.1346 (2.1629)	Prec@1 41.406 (45.287)	Prec@5 76.562 (75.795)
Epoch: [54][3840/14090]	Time 0.770 (0.752)	Data 0.001 (0.002)	Loss 2.1136 (2.1631)	Prec@1 48.438 (45.282)	Prec@5 73.438 (75.793)
Epoch: [54][3850/14090]	Time 0.746 (0.752)	Data 0.001 (0.002)	Loss 1.6687 (2.1631)	Prec@1 59.375 (45.285)	Prec@5 82.031 (75.793)
Epoch: [54][3860/14090]	Time 0.739 (0.752)	Data 0.001 (0.002)	Loss 2.2706 (2.1632)	Prec@1 44.531 (45.283)	Prec@5 71.094 (75.793)
Epoch: [54][3870/14090]	Time 0.724 (0.752)	Data 0.001 (0.002)	Loss 2.0481 (2.1632)	Prec@1 46.094 (45.280)	Prec@5 76.562 (75.791)
Epoch: [54][3880/14090]	Time 0.727 (0.752)	Data 0.001 (0.002)	Loss 2.2819 (2.1633)	Prec@1 43.750 (45.278)	Prec@5 73.438 (75.785)
Epoch: [54][3890/14090]	Time 0.733 (0.752)	Data 0.001 (0.002)	Loss 2.5312 (2.1637)	Prec@1 42.188 (45.271)	Prec@5 71.094 (75.776)
Epoch: [54][3900/14090]	Time 0.739 (0.752)	Data 0.001 (0.002)	Loss 2.0426 (2.1638)	Prec@1 47.656 (45.267)	Prec@5 77.344 (75.772)
Epoch: [54][3910/14090]	Time 0.749 (0.752)	Data 0.001 (0.002)	Loss 2.0508 (2.1637)	Prec@1 45.312 (45.270)	Prec@5 76.562 (75.771)
Epoch: [54][3920/14090]	Time 0.761 (0.752)	Data 0.001 (0.002)	Loss 2.2656 (2.1637)	Prec@1 46.094 (45.275)	Prec@5 71.875 (75.774)
Epoch: [54][3930/14090]	Time 0.754 (0.752)	Data 0.001 (0.002)	Loss 2.0566 (2.1635)	Prec@1 50.781 (45.279)	Prec@5 78.125 (75.780)
Epoch: [54][3940/14090]	Time 0.743 (0.752)	Data 0.001 (0.002)	Loss 2.4165 (2.1637)	Prec@1 42.188 (45.277)	Prec@5 68.750 (75.778)
Epoch: [54][3950/14090]	Time 0.727 (0.752)	Data 0.001 (0.002)	Loss 2.0360 (2.1636)	Prec@1 42.969 (45.277)	Prec@5 78.906 (75.778)
Epoch: [54][3960/14090]	Time 0.757 (0.752)	Data 0.001 (0.002)	Loss 1.8372 (2.1637)	Prec@1 50.000 (45.277)	Prec@5 81.250 (75.776)
Epoch: [54][3970/14090]	Time 0.729 (0.752)	Data 0.001 (0.002)	Loss 2.2162 (2.1639)	Prec@1 42.969 (45.271)	Prec@5 75.000 (75.770)
Epoch: [54][3980/14090]	Time 0.739 (0.752)	Data 0.001 (0.002)	Loss 2.3124 (2.1641)	Prec@1 45.312 (45.265)	Prec@5 71.094 (75.770)
Epoch: [54][3990/14090]	Time 0.757 (0.752)	Data 0.001 (0.002)	Loss 2.1564 (2.1641)	Prec@1 47.656 (45.266)	Prec@5 76.562 (75.769)
Epoch: [54][4000/14090]	Time 0.755 (0.752)	Data 0.001 (0.002)	Loss 2.1402 (2.1643)	Prec@1 50.000 (45.265)	Prec@5 78.125 (75.766)
Epoch: [54][4010/14090]	Time 0.735 (0.752)	Data 0.001 (0.002)	Loss 2.4115 (2.1644)	Prec@1 39.844 (45.263)	Prec@5 73.438 (75.764)
Epoch: [54][4020/14090]	Time 0.742 (0.752)	Data 0.001 (0.002)	Loss 2.4155 (2.1644)	Prec@1 39.062 (45.264)	Prec@5 71.875 (75.765)
Epoch: [54][4030/14090]	Time 0.735 (0.752)	Data 0.001 (0.002)	Loss 2.0069 (2.1644)	Prec@1 42.969 (45.265)	Prec@5 83.594 (75.769)
Epoch: [54][4040/14090]	Time 0.762 (0.752)	Data 0.001 (0.002)	Loss 2.0689 (2.1646)	Prec@1 44.531 (45.260)	Prec@5 82.031 (75.764)
Epoch: [54][4050/14090]	Time 0.727 (0.752)	Data 0.001 (0.002)	Loss 1.8763 (2.1647)	Prec@1 51.562 (45.254)	Prec@5 82.031 (75.763)
Epoch: [54][4060/14090]	Time 0.774 (0.752)	Data 0.001 (0.002)	Loss 2.0344 (2.1644)	Prec@1 49.219 (45.259)	Prec@5 76.562 (75.770)
Epoch: [54][4070/14090]	Time 0.734 (0.752)	Data 0.001 (0.002)	Loss 2.5766 (2.1645)	Prec@1 36.719 (45.259)	Prec@5 67.969 (75.770)
Epoch: [54][4080/14090]	Time 0.733 (0.752)	Data 0.001 (0.002)	Loss 2.3620 (2.1644)	Prec@1 37.500 (45.260)	Prec@5 74.219 (75.772)
Epoch: [54][4090/14090]	Time 0.760 (0.752)	Data 0.001 (0.002)	Loss 2.3150 (2.1644)	Prec@1 39.062 (45.257)	Prec@5 76.562 (75.774)
Epoch: [54][4100/14090]	Time 0.738 (0.752)	Data 0.001 (0.002)	Loss 2.3034 (2.1643)	Prec@1 46.875 (45.260)	Prec@5 73.438 (75.776)
Epoch: [54][4110/14090]	Time 0.755 (0.752)	Data 0.001 (0.002)	Loss 2.0570 (2.1644)	Prec@1 47.656 (45.259)	Prec@5 75.781 (75.773)
Epoch: [54][4120/14090]	Time 0.728 (0.752)	Data 0.001 (0.002)	Loss 1.9087 (2.1644)	Prec@1 53.906 (45.262)	Prec@5 78.125 (75.770)
Epoch: [54][4130/14090]	Time 0.740 (0.752)	Data 0.003 (0.002)	Loss 2.2497 (2.1644)	Prec@1 44.531 (45.266)	Prec@5 71.875 (75.772)
Epoch: [54][4140/14090]	Time 0.758 (0.752)	Data 0.001 (0.002)	Loss 2.0563 (2.1644)	Prec@1 46.094 (45.265)	Prec@5 81.250 (75.772)
Epoch: [54][4150/14090]	Time 0.778 (0.752)	Data 0.001 (0.002)	Loss 2.2864 (2.1645)	Prec@1 47.656 (45.256)	Prec@5 75.000 (75.769)
Epoch: [54][4160/14090]	Time 0.758 (0.752)	Data 0.001 (0.002)	Loss 2.0302 (2.1646)	Prec@1 47.656 (45.257)	Prec@5 76.562 (75.767)
Epoch: [54][4170/14090]	Time 0.735 (0.752)	Data 0.001 (0.002)	Loss 1.9356 (2.1646)	Prec@1 42.969 (45.257)	Prec@5 81.250 (75.766)
Epoch: [54][4180/14090]	Time 0.766 (0.752)	Data 0.001 (0.002)	Loss 2.1248 (2.1645)	Prec@1 48.438 (45.261)	Prec@5 78.125 (75.771)
Epoch: [54][4190/14090]	Time 0.743 (0.752)	Data 0.001 (0.002)	Loss 2.0634 (2.1647)	Prec@1 46.094 (45.257)	Prec@5 76.562 (75.766)
Epoch: [54][4200/14090]	Time 0.756 (0.752)	Data 0.001 (0.002)	Loss 2.1856 (2.1647)	Prec@1 43.750 (45.257)	Prec@5 73.438 (75.768)
Epoch: [54][4210/14090]	Time 0.765 (0.752)	Data 0.001 (0.002)	Loss 2.2323 (2.1646)	Prec@1 40.625 (45.264)	Prec@5 73.438 (75.773)
Epoch: [54][4220/14090]	Time 0.730 (0.752)	Data 0.001 (0.002)	Loss 2.1948 (2.1648)	Prec@1 44.531 (45.265)	Prec@5 75.000 (75.769)
Epoch: [54][4230/14090]	Time 0.730 (0.752)	Data 0.001 (0.002)	Loss 2.4035 (2.1648)	Prec@1 41.406 (45.264)	Prec@5 69.531 (75.770)
Epoch: [54][4240/14090]	Time 0.734 (0.752)	Data 0.001 (0.002)	Loss 1.7676 (2.1645)	Prec@1 53.906 (45.272)	Prec@5 83.594 (75.776)
Epoch: [54][4250/14090]	Time 0.777 (0.752)	Data 0.001 (0.002)	Loss 2.1331 (2.1647)	Prec@1 50.000 (45.269)	Prec@5 82.031 (75.773)
Epoch: [54][4260/14090]	Time 0.745 (0.752)	Data 0.001 (0.002)	Loss 2.2541 (2.1647)	Prec@1 42.188 (45.268)	Prec@5 73.438 (75.773)
Epoch: [54][4270/14090]	Time 0.732 (0.752)	Data 0.001 (0.002)	Loss 2.0624 (2.1646)	Prec@1 57.031 (45.272)	Prec@5 75.781 (75.777)
Epoch: [54][4280/14090]	Time 0.777 (0.752)	Data 0.001 (0.002)	Loss 2.0282 (2.1646)	Prec@1 46.875 (45.268)	Prec@5 78.906 (75.777)
Epoch: [54][4290/14090]	Time 0.740 (0.752)	Data 0.001 (0.002)	Loss 2.1479 (2.1647)	Prec@1 47.656 (45.262)	Prec@5 76.562 (75.775)
Epoch: [54][4300/14090]	Time 0.753 (0.752)	Data 0.001 (0.002)	Loss 2.3320 (2.1648)	Prec@1 47.656 (45.266)	Prec@5 73.438 (75.771)
Epoch: [54][4310/14090]	Time 0.740 (0.751)	Data 0.001 (0.002)	Loss 2.0224 (2.1648)	Prec@1 48.438 (45.265)	Prec@5 82.812 (75.771)
Epoch: [54][4320/14090]	Time 0.735 (0.751)	Data 0.001 (0.002)	Loss 2.1232 (2.1650)	Prec@1 49.219 (45.265)	Prec@5 76.562 (75.767)
Epoch: [54][4330/14090]	Time 0.759 (0.751)	Data 0.001 (0.002)	Loss 2.1343 (2.1650)	Prec@1 42.969 (45.262)	Prec@5 75.000 (75.765)
Epoch: [54][4340/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 2.5003 (2.1650)	Prec@1 39.844 (45.260)	Prec@5 71.094 (75.764)
Epoch: [54][4350/14090]	Time 0.731 (0.751)	Data 0.001 (0.002)	Loss 2.0114 (2.1653)	Prec@1 50.000 (45.257)	Prec@5 79.688 (75.763)
Epoch: [54][4360/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 2.4404 (2.1654)	Prec@1 42.969 (45.259)	Prec@5 70.312 (75.759)
Epoch: [54][4370/14090]	Time 0.762 (0.751)	Data 0.001 (0.002)	Loss 2.2009 (2.1654)	Prec@1 46.875 (45.261)	Prec@5 75.781 (75.758)
Epoch: [54][4380/14090]	Time 0.736 (0.751)	Data 0.001 (0.002)	Loss 2.2547 (2.1654)	Prec@1 51.562 (45.263)	Prec@5 73.438 (75.758)
Epoch: [54][4390/14090]	Time 0.753 (0.751)	Data 0.001 (0.002)	Loss 2.3901 (2.1653)	Prec@1 44.531 (45.267)	Prec@5 72.656 (75.757)
Epoch: [54][4400/14090]	Time 0.774 (0.751)	Data 0.001 (0.002)	Loss 2.2614 (2.1653)	Prec@1 44.531 (45.266)	Prec@5 75.781 (75.760)
Epoch: [54][4410/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 2.0059 (2.1654)	Prec@1 48.438 (45.261)	Prec@5 78.125 (75.757)
Epoch: [54][4420/14090]	Time 0.733 (0.751)	Data 0.001 (0.002)	Loss 1.9979 (2.1653)	Prec@1 49.219 (45.264)	Prec@5 79.688 (75.760)
Epoch: [54][4430/14090]	Time 0.723 (0.751)	Data 0.001 (0.002)	Loss 2.3645 (2.1654)	Prec@1 35.938 (45.263)	Prec@5 75.000 (75.758)
Epoch: [54][4440/14090]	Time 0.780 (0.751)	Data 0.001 (0.002)	Loss 2.2208 (2.1652)	Prec@1 46.875 (45.265)	Prec@5 71.875 (75.760)
Epoch: [54][4450/14090]	Time 0.735 (0.751)	Data 0.001 (0.002)	Loss 2.5202 (2.1654)	Prec@1 35.156 (45.263)	Prec@5 68.750 (75.758)
Epoch: [54][4460/14090]	Time 0.749 (0.751)	Data 0.001 (0.002)	Loss 2.4599 (2.1654)	Prec@1 34.375 (45.263)	Prec@5 70.312 (75.757)
Epoch: [54][4470/14090]	Time 0.767 (0.751)	Data 0.001 (0.002)	Loss 2.3756 (2.1655)	Prec@1 37.500 (45.260)	Prec@5 72.656 (75.757)
Epoch: [54][4480/14090]	Time 0.771 (0.751)	Data 0.004 (0.002)	Loss 2.3195 (2.1657)	Prec@1 39.062 (45.257)	Prec@5 68.750 (75.753)
Epoch: [54][4490/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 2.1242 (2.1658)	Prec@1 46.875 (45.256)	Prec@5 80.469 (75.750)
Epoch: [54][4500/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 2.0989 (2.1655)	Prec@1 43.750 (45.263)	Prec@5 76.562 (75.754)
Epoch: [54][4510/14090]	Time 0.776 (0.751)	Data 0.001 (0.002)	Loss 2.2273 (2.1657)	Prec@1 45.312 (45.259)	Prec@5 77.344 (75.749)
Epoch: [54][4520/14090]	Time 0.773 (0.751)	Data 0.001 (0.002)	Loss 2.2121 (2.1659)	Prec@1 44.531 (45.254)	Prec@5 76.562 (75.745)
Epoch: [54][4530/14090]	Time 0.758 (0.751)	Data 0.001 (0.002)	Loss 1.9622 (2.1659)	Prec@1 53.906 (45.256)	Prec@5 76.562 (75.745)
Epoch: [54][4540/14090]	Time 0.736 (0.751)	Data 0.001 (0.002)	Loss 2.1405 (2.1659)	Prec@1 49.219 (45.256)	Prec@5 80.469 (75.746)
Epoch: [54][4550/14090]	Time 0.746 (0.751)	Data 0.001 (0.002)	Loss 2.5327 (2.1661)	Prec@1 40.625 (45.247)	Prec@5 67.188 (75.742)
Epoch: [54][4560/14090]	Time 0.760 (0.751)	Data 0.001 (0.002)	Loss 2.4920 (2.1661)	Prec@1 35.156 (45.248)	Prec@5 69.531 (75.742)
Epoch: [54][4570/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 2.1184 (2.1660)	Prec@1 43.750 (45.250)	Prec@5 73.438 (75.744)
Epoch: [54][4580/14090]	Time 0.740 (0.751)	Data 0.001 (0.002)	Loss 2.6264 (2.1662)	Prec@1 39.062 (45.249)	Prec@5 72.656 (75.741)
Epoch: [54][4590/14090]	Time 0.771 (0.751)	Data 0.001 (0.002)	Loss 2.2650 (2.1663)	Prec@1 38.281 (45.244)	Prec@5 70.312 (75.737)
Epoch: [54][4600/14090]	Time 0.719 (0.751)	Data 0.001 (0.002)	Loss 2.2966 (2.1665)	Prec@1 42.188 (45.242)	Prec@5 74.219 (75.733)
Epoch: [54][4610/14090]	Time 0.731 (0.751)	Data 0.001 (0.002)	Loss 2.1951 (2.1664)	Prec@1 43.750 (45.244)	Prec@5 72.656 (75.732)
Epoch: [54][4620/14090]	Time 0.743 (0.751)	Data 0.001 (0.002)	Loss 2.2495 (2.1665)	Prec@1 40.625 (45.241)	Prec@5 76.562 (75.729)
Epoch: [54][4630/14090]	Time 0.730 (0.751)	Data 0.001 (0.002)	Loss 2.0529 (2.1665)	Prec@1 46.875 (45.240)	Prec@5 80.469 (75.730)
Epoch: [54][4640/14090]	Time 0.727 (0.751)	Data 0.001 (0.002)	Loss 2.3623 (2.1666)	Prec@1 42.969 (45.237)	Prec@5 77.344 (75.729)
Epoch: [54][4650/14090]	Time 0.772 (0.751)	Data 0.001 (0.002)	Loss 2.3707 (2.1668)	Prec@1 38.281 (45.235)	Prec@5 76.562 (75.727)
Epoch: [54][4660/14090]	Time 0.746 (0.751)	Data 0.001 (0.002)	Loss 2.0204 (2.1668)	Prec@1 49.219 (45.234)	Prec@5 82.812 (75.732)
Epoch: [54][4670/14090]	Time 0.756 (0.751)	Data 0.001 (0.002)	Loss 1.8694 (2.1667)	Prec@1 53.906 (45.237)	Prec@5 82.031 (75.735)
Epoch: [54][4680/14090]	Time 0.744 (0.751)	Data 0.001 (0.002)	Loss 2.1361 (2.1667)	Prec@1 42.969 (45.233)	Prec@5 76.562 (75.731)
Epoch: [54][4690/14090]	Time 0.740 (0.751)	Data 0.001 (0.002)	Loss 2.0838 (2.1667)	Prec@1 48.438 (45.236)	Prec@5 74.219 (75.730)
Epoch: [54][4700/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 2.1129 (2.1666)	Prec@1 50.000 (45.237)	Prec@5 78.906 (75.730)
Epoch: [54][4710/14090]	Time 0.816 (0.751)	Data 0.001 (0.002)	Loss 1.9542 (2.1665)	Prec@1 53.125 (45.241)	Prec@5 81.250 (75.731)
Epoch: [54][4720/14090]	Time 0.748 (0.751)	Data 0.001 (0.002)	Loss 2.1389 (2.1665)	Prec@1 46.094 (45.241)	Prec@5 76.562 (75.733)
Epoch: [54][4730/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 2.2659 (2.1665)	Prec@1 43.750 (45.240)	Prec@5 75.781 (75.731)
Epoch: [54][4740/14090]	Time 0.749 (0.751)	Data 0.001 (0.002)	Loss 2.1856 (2.1666)	Prec@1 44.531 (45.234)	Prec@5 78.906 (75.732)
Epoch: [54][4750/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 2.0351 (2.1667)	Prec@1 47.656 (45.229)	Prec@5 80.469 (75.728)
Epoch: [54][4760/14090]	Time 0.738 (0.751)	Data 0.001 (0.002)	Loss 2.1727 (2.1666)	Prec@1 44.531 (45.226)	Prec@5 72.656 (75.730)
Epoch: [54][4770/14090]	Time 0.746 (0.751)	Data 0.001 (0.002)	Loss 2.2379 (2.1668)	Prec@1 44.531 (45.227)	Prec@5 70.312 (75.726)
Epoch: [54][4780/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 2.1019 (2.1668)	Prec@1 41.406 (45.223)	Prec@5 80.469 (75.725)
Epoch: [54][4790/14090]	Time 0.736 (0.751)	Data 0.001 (0.002)	Loss 1.9299 (2.1669)	Prec@1 52.344 (45.224)	Prec@5 76.562 (75.723)
Epoch: [54][4800/14090]	Time 0.759 (0.751)	Data 0.001 (0.002)	Loss 2.5635 (2.1673)	Prec@1 35.938 (45.216)	Prec@5 69.531 (75.713)
Epoch: [54][4810/14090]	Time 0.789 (0.751)	Data 0.001 (0.002)	Loss 2.1354 (2.1673)	Prec@1 47.656 (45.219)	Prec@5 78.125 (75.716)
Epoch: [54][4820/14090]	Time 0.726 (0.751)	Data 0.001 (0.002)	Loss 2.0012 (2.1673)	Prec@1 47.656 (45.220)	Prec@5 78.906 (75.715)
Epoch: [54][4830/14090]	Time 0.728 (0.751)	Data 0.001 (0.002)	Loss 2.1304 (2.1673)	Prec@1 42.969 (45.218)	Prec@5 76.562 (75.716)
Epoch: [54][4840/14090]	Time 0.723 (0.751)	Data 0.001 (0.002)	Loss 2.2045 (2.1673)	Prec@1 48.438 (45.215)	Prec@5 78.906 (75.716)
Epoch: [54][4850/14090]	Time 0.769 (0.751)	Data 0.001 (0.002)	Loss 2.2675 (2.1674)	Prec@1 46.875 (45.214)	Prec@5 73.438 (75.714)
Epoch: [54][4860/14090]	Time 0.752 (0.751)	Data 0.001 (0.002)	Loss 2.3310 (2.1674)	Prec@1 37.500 (45.216)	Prec@5 72.656 (75.715)
Epoch: [54][4870/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 1.7568 (2.1673)	Prec@1 51.562 (45.218)	Prec@5 83.594 (75.718)
Epoch: [54][4880/14090]	Time 0.751 (0.751)	Data 0.001 (0.002)	Loss 2.0344 (2.1674)	Prec@1 46.094 (45.216)	Prec@5 75.000 (75.718)
Epoch: [54][4890/14090]	Time 0.769 (0.751)	Data 0.001 (0.002)	Loss 2.2291 (2.1676)	Prec@1 45.312 (45.211)	Prec@5 81.250 (75.715)
Epoch: [54][4900/14090]	Time 0.757 (0.751)	Data 0.001 (0.002)	Loss 2.2778 (2.1678)	Prec@1 40.625 (45.209)	Prec@5 67.188 (75.712)
Epoch: [54][4910/14090]	Time 0.769 (0.751)	Data 0.001 (0.002)	Loss 2.3112 (2.1680)	Prec@1 35.156 (45.203)	Prec@5 76.562 (75.710)
Epoch: [54][4920/14090]	Time 0.767 (0.751)	Data 0.001 (0.002)	Loss 2.0454 (2.1679)	Prec@1 46.875 (45.204)	Prec@5 74.219 (75.709)
Epoch: [54][4930/14090]	Time 0.765 (0.751)	Data 0.001 (0.002)	Loss 2.2099 (2.1679)	Prec@1 40.625 (45.206)	Prec@5 74.219 (75.709)
Epoch: [54][4940/14090]	Time 0.759 (0.751)	Data 0.001 (0.002)	Loss 2.4040 (2.1679)	Prec@1 40.625 (45.203)	Prec@5 70.312 (75.711)
Epoch: [54][4950/14090]	Time 0.756 (0.751)	Data 0.001 (0.002)	Loss 2.2919 (2.1679)	Prec@1 39.062 (45.206)	Prec@5 75.781 (75.710)
Epoch: [54][4960/14090]	Time 0.740 (0.751)	Data 0.001 (0.002)	Loss 2.3238 (2.1680)	Prec@1 45.312 (45.206)	Prec@5 72.656 (75.710)
Epoch: [54][4970/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 2.2986 (2.1678)	Prec@1 43.750 (45.207)	Prec@5 74.219 (75.713)
Epoch: [54][4980/14090]	Time 0.759 (0.751)	Data 0.001 (0.002)	Loss 2.3606 (2.1678)	Prec@1 42.188 (45.206)	Prec@5 74.219 (75.715)
Epoch: [54][4990/14090]	Time 0.801 (0.751)	Data 0.001 (0.002)	Loss 1.9908 (2.1677)	Prec@1 43.750 (45.206)	Prec@5 75.781 (75.716)
Epoch: [54][5000/14090]	Time 0.783 (0.751)	Data 0.001 (0.002)	Loss 2.1149 (2.1676)	Prec@1 45.312 (45.207)	Prec@5 78.125 (75.720)
Epoch: [54][5010/14090]	Time 0.769 (0.751)	Data 0.001 (0.002)	Loss 2.3946 (2.1677)	Prec@1 39.844 (45.206)	Prec@5 71.875 (75.719)
Epoch: [54][5020/14090]	Time 0.725 (0.751)	Data 0.001 (0.002)	Loss 2.0249 (2.1676)	Prec@1 44.531 (45.206)	Prec@5 78.906 (75.722)
Epoch: [54][5030/14090]	Time 0.744 (0.751)	Data 0.001 (0.002)	Loss 2.0854 (2.1676)	Prec@1 45.312 (45.205)	Prec@5 75.781 (75.722)
Epoch: [54][5040/14090]	Time 0.751 (0.751)	Data 0.001 (0.002)	Loss 2.0222 (2.1677)	Prec@1 48.438 (45.203)	Prec@5 78.906 (75.723)
Epoch: [54][5050/14090]	Time 0.763 (0.751)	Data 0.001 (0.002)	Loss 2.2734 (2.1677)	Prec@1 38.281 (45.199)	Prec@5 67.188 (75.719)
Epoch: [54][5060/14090]	Time 0.752 (0.751)	Data 0.001 (0.002)	Loss 2.5467 (2.1679)	Prec@1 37.500 (45.197)	Prec@5 66.406 (75.715)
Epoch: [54][5070/14090]	Time 0.737 (0.751)	Data 0.001 (0.002)	Loss 1.8544 (2.1679)	Prec@1 49.219 (45.195)	Prec@5 79.688 (75.714)
Epoch: [54][5080/14090]	Time 0.742 (0.751)	Data 0.001 (0.002)	Loss 2.4723 (2.1679)	Prec@1 35.938 (45.193)	Prec@5 74.219 (75.717)
Epoch: [54][5090/14090]	Time 0.730 (0.751)	Data 0.001 (0.002)	Loss 2.2724 (2.1680)	Prec@1 41.406 (45.190)	Prec@5 72.656 (75.716)
Epoch: [54][5100/14090]	Time 0.724 (0.751)	Data 0.001 (0.002)	Loss 1.7610 (2.1681)	Prec@1 53.125 (45.186)	Prec@5 78.906 (75.714)
Epoch: [54][5110/14090]	Time 0.760 (0.751)	Data 0.001 (0.002)	Loss 2.2560 (2.1681)	Prec@1 39.844 (45.186)	Prec@5 73.438 (75.717)
Epoch: [54][5120/14090]	Time 0.769 (0.751)	Data 0.001 (0.002)	Loss 2.3008 (2.1682)	Prec@1 43.750 (45.188)	Prec@5 68.750 (75.712)
Epoch: [54][5130/14090]	Time 0.730 (0.751)	Data 0.001 (0.002)	Loss 2.1382 (2.1681)	Prec@1 50.000 (45.189)	Prec@5 75.781 (75.713)
Epoch: [54][5140/14090]	Time 0.751 (0.751)	Data 0.001 (0.002)	Loss 2.0358 (2.1683)	Prec@1 44.531 (45.184)	Prec@5 77.344 (75.710)
Epoch: [54][5150/14090]	Time 0.736 (0.751)	Data 0.001 (0.002)	Loss 2.2325 (2.1684)	Prec@1 39.844 (45.183)	Prec@5 75.781 (75.709)
Epoch: [54][5160/14090]	Time 0.757 (0.751)	Data 0.001 (0.002)	Loss 2.0875 (2.1684)	Prec@1 46.875 (45.180)	Prec@5 73.438 (75.706)
Epoch: [54][5170/14090]	Time 0.736 (0.751)	Data 0.001 (0.002)	Loss 2.2056 (2.1684)	Prec@1 51.562 (45.181)	Prec@5 72.656 (75.706)
Epoch: [54][5180/14090]	Time 0.756 (0.751)	Data 0.001 (0.002)	Loss 2.4703 (2.1685)	Prec@1 40.625 (45.179)	Prec@5 67.969 (75.705)
Epoch: [54][5190/14090]	Time 0.759 (0.751)	Data 0.001 (0.002)	Loss 2.1395 (2.1686)	Prec@1 43.750 (45.178)	Prec@5 75.781 (75.704)
Epoch: [54][5200/14090]	Time 0.745 (0.751)	Data 0.001 (0.002)	Loss 2.0071 (2.1686)	Prec@1 52.344 (45.180)	Prec@5 79.688 (75.701)
Epoch: [54][5210/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 2.3891 (2.1685)	Prec@1 41.406 (45.182)	Prec@5 71.094 (75.702)
Epoch: [54][5220/14090]	Time 0.734 (0.751)	Data 0.001 (0.002)	Loss 1.8858 (2.1685)	Prec@1 55.469 (45.186)	Prec@5 77.344 (75.702)
Epoch: [54][5230/14090]	Time 0.749 (0.751)	Data 0.001 (0.002)	Loss 2.4541 (2.1685)	Prec@1 35.938 (45.186)	Prec@5 67.188 (75.699)
Epoch: [54][5240/14090]	Time 0.737 (0.751)	Data 0.001 (0.002)	Loss 2.1674 (2.1685)	Prec@1 46.875 (45.190)	Prec@5 75.000 (75.701)
Epoch: [54][5250/14090]	Time 0.743 (0.751)	Data 0.001 (0.002)	Loss 2.1395 (2.1685)	Prec@1 48.438 (45.194)	Prec@5 78.906 (75.701)
Epoch: [54][5260/14090]	Time 0.726 (0.751)	Data 0.001 (0.002)	Loss 2.3216 (2.1685)	Prec@1 49.219 (45.196)	Prec@5 72.656 (75.699)
Epoch: [54][5270/14090]	Time 0.748 (0.751)	Data 0.001 (0.002)	Loss 2.3304 (2.1686)	Prec@1 44.531 (45.195)	Prec@5 74.219 (75.699)
Epoch: [54][5280/14090]	Time 0.772 (0.751)	Data 0.001 (0.002)	Loss 2.1135 (2.1686)	Prec@1 46.094 (45.196)	Prec@5 72.656 (75.700)
Epoch: [54][5290/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 2.0417 (2.1685)	Prec@1 45.312 (45.197)	Prec@5 75.781 (75.703)
Epoch: [54][5300/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 2.2682 (2.1686)	Prec@1 39.844 (45.194)	Prec@5 71.875 (75.701)
Epoch: [54][5310/14090]	Time 0.757 (0.751)	Data 0.001 (0.002)	Loss 2.1479 (2.1683)	Prec@1 44.531 (45.197)	Prec@5 75.000 (75.707)
Epoch: [54][5320/14090]	Time 0.736 (0.751)	Data 0.001 (0.002)	Loss 2.1580 (2.1683)	Prec@1 40.625 (45.198)	Prec@5 79.688 (75.709)
Epoch: [54][5330/14090]	Time 0.745 (0.751)	Data 0.001 (0.002)	Loss 2.0619 (2.1683)	Prec@1 49.219 (45.199)	Prec@5 78.906 (75.709)
Epoch: [54][5340/14090]	Time 0.738 (0.751)	Data 0.001 (0.002)	Loss 2.4263 (2.1682)	Prec@1 39.844 (45.200)	Prec@5 71.875 (75.708)
Epoch: [54][5350/14090]	Time 0.760 (0.751)	Data 0.001 (0.002)	Loss 2.3856 (2.1683)	Prec@1 35.938 (45.201)	Prec@5 75.000 (75.706)
Epoch: [54][5360/14090]	Time 0.756 (0.751)	Data 0.001 (0.002)	Loss 2.0653 (2.1684)	Prec@1 46.875 (45.199)	Prec@5 76.562 (75.703)
Epoch: [54][5370/14090]	Time 0.776 (0.751)	Data 0.001 (0.002)	Loss 2.2815 (2.1686)	Prec@1 35.938 (45.196)	Prec@5 75.000 (75.700)
Epoch: [54][5380/14090]	Time 0.750 (0.751)	Data 0.001 (0.002)	Loss 2.1049 (2.1688)	Prec@1 42.969 (45.190)	Prec@5 82.031 (75.699)
Epoch: [54][5390/14090]	Time 0.758 (0.751)	Data 0.001 (0.002)	Loss 2.1610 (2.1686)	Prec@1 50.781 (45.198)	Prec@5 74.219 (75.703)
Epoch: [54][5400/14090]	Time 0.744 (0.751)	Data 0.002 (0.002)	Loss 2.2212 (2.1688)	Prec@1 40.625 (45.193)	Prec@5 78.125 (75.702)
Epoch: [54][5410/14090]	Time 0.844 (0.751)	Data 0.001 (0.002)	Loss 2.3015 (2.1688)	Prec@1 35.156 (45.192)	Prec@5 73.438 (75.701)
Epoch: [54][5420/14090]	Time 0.736 (0.751)	Data 0.001 (0.002)	Loss 2.3290 (2.1687)	Prec@1 39.844 (45.193)	Prec@5 71.094 (75.703)
Epoch: [54][5430/14090]	Time 0.748 (0.751)	Data 0.001 (0.002)	Loss 2.3567 (2.1689)	Prec@1 37.500 (45.187)	Prec@5 74.219 (75.703)
Epoch: [54][5440/14090]	Time 0.774 (0.751)	Data 0.001 (0.002)	Loss 2.1765 (2.1689)	Prec@1 44.531 (45.184)	Prec@5 76.562 (75.702)
Epoch: [54][5450/14090]	Time 0.766 (0.751)	Data 0.001 (0.002)	Loss 2.0257 (2.1688)	Prec@1 41.406 (45.183)	Prec@5 78.906 (75.706)
Epoch: [54][5460/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 2.0448 (2.1688)	Prec@1 55.469 (45.184)	Prec@5 76.562 (75.705)
Epoch: [54][5470/14090]	Time 0.746 (0.751)	Data 0.001 (0.002)	Loss 2.0699 (2.1687)	Prec@1 48.438 (45.186)	Prec@5 77.344 (75.706)
Epoch: [54][5480/14090]	Time 0.727 (0.751)	Data 0.001 (0.002)	Loss 1.8011 (2.1686)	Prec@1 57.031 (45.187)	Prec@5 82.031 (75.707)
Epoch: [54][5490/14090]	Time 0.737 (0.751)	Data 0.001 (0.002)	Loss 2.0225 (2.1686)	Prec@1 47.656 (45.186)	Prec@5 77.344 (75.705)
Epoch: [54][5500/14090]	Time 0.746 (0.751)	Data 0.001 (0.002)	Loss 2.1263 (2.1686)	Prec@1 46.875 (45.188)	Prec@5 79.688 (75.706)
Epoch: [54][5510/14090]	Time 0.730 (0.751)	Data 0.001 (0.002)	Loss 2.3258 (2.1686)	Prec@1 45.312 (45.189)	Prec@5 73.438 (75.708)
Epoch: [54][5520/14090]	Time 0.751 (0.751)	Data 0.001 (0.002)	Loss 2.2758 (2.1686)	Prec@1 41.406 (45.185)	Prec@5 72.656 (75.706)
Epoch: [54][5530/14090]	Time 0.730 (0.751)	Data 0.001 (0.002)	Loss 2.5093 (2.1688)	Prec@1 37.500 (45.182)	Prec@5 67.969 (75.702)
Epoch: [54][5540/14090]	Time 0.738 (0.751)	Data 0.001 (0.002)	Loss 2.0859 (2.1688)	Prec@1 43.750 (45.180)	Prec@5 81.250 (75.703)
Epoch: [54][5550/14090]	Time 0.753 (0.751)	Data 0.001 (0.002)	Loss 1.9714 (2.1686)	Prec@1 49.219 (45.183)	Prec@5 80.469 (75.706)
Epoch: [54][5560/14090]	Time 0.742 (0.751)	Data 0.001 (0.002)	Loss 2.1404 (2.1685)	Prec@1 47.656 (45.185)	Prec@5 74.219 (75.709)
Epoch: [54][5570/14090]	Time 0.749 (0.751)	Data 0.001 (0.002)	Loss 2.2354 (2.1684)	Prec@1 43.750 (45.184)	Prec@5 76.562 (75.712)
Epoch: [54][5580/14090]	Time 0.741 (0.751)	Data 0.001 (0.002)	Loss 2.0738 (2.1684)	Prec@1 47.656 (45.186)	Prec@5 78.906 (75.713)
Epoch: [54][5590/14090]	Time 0.719 (0.751)	Data 0.001 (0.002)	Loss 2.0427 (2.1684)	Prec@1 43.750 (45.188)	Prec@5 82.812 (75.716)
Epoch: [54][5600/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 2.1800 (2.1683)	Prec@1 43.750 (45.187)	Prec@5 72.656 (75.718)
Epoch: [54][5610/14090]	Time 0.760 (0.751)	Data 0.001 (0.002)	Loss 2.1201 (2.1684)	Prec@1 44.531 (45.190)	Prec@5 78.906 (75.719)
Epoch: [54][5620/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 2.1530 (2.1684)	Prec@1 45.312 (45.191)	Prec@5 76.562 (75.720)
Epoch: [54][5630/14090]	Time 0.760 (0.751)	Data 0.001 (0.002)	Loss 1.7440 (2.1684)	Prec@1 53.125 (45.190)	Prec@5 82.812 (75.718)
Epoch: [54][5640/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 2.0318 (2.1685)	Prec@1 46.875 (45.192)	Prec@5 78.125 (75.717)
Epoch: [54][5650/14090]	Time 0.749 (0.751)	Data 0.001 (0.002)	Loss 2.0711 (2.1684)	Prec@1 46.094 (45.190)	Prec@5 78.125 (75.721)
Epoch: [54][5660/14090]	Time 0.748 (0.751)	Data 0.001 (0.002)	Loss 2.0049 (2.1683)	Prec@1 47.656 (45.191)	Prec@5 79.688 (75.721)
Epoch: [54][5670/14090]	Time 0.729 (0.751)	Data 0.001 (0.002)	Loss 2.3734 (2.1684)	Prec@1 39.062 (45.188)	Prec@5 67.969 (75.719)
Epoch: [54][5680/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 2.1637 (2.1682)	Prec@1 46.875 (45.194)	Prec@5 74.219 (75.722)
Epoch: [54][5690/14090]	Time 0.723 (0.751)	Data 0.001 (0.002)	Loss 2.4559 (2.1685)	Prec@1 35.938 (45.188)	Prec@5 75.000 (75.721)
Epoch: [54][5700/14090]	Time 0.731 (0.751)	Data 0.001 (0.002)	Loss 2.3300 (2.1684)	Prec@1 38.281 (45.184)	Prec@5 75.781 (75.722)
Epoch: [54][5710/14090]	Time 0.764 (0.751)	Data 0.001 (0.002)	Loss 2.1753 (2.1684)	Prec@1 42.188 (45.184)	Prec@5 79.688 (75.722)
Epoch: [54][5720/14090]	Time 0.759 (0.751)	Data 0.001 (0.002)	Loss 2.2349 (2.1685)	Prec@1 46.094 (45.186)	Prec@5 76.562 (75.721)
Epoch: [54][5730/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 2.0564 (2.1684)	Prec@1 46.875 (45.187)	Prec@5 74.219 (75.723)
Epoch: [54][5740/14090]	Time 0.742 (0.751)	Data 0.001 (0.002)	Loss 2.0815 (2.1682)	Prec@1 45.312 (45.190)	Prec@5 74.219 (75.725)
Epoch: [54][5750/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 2.2842 (2.1684)	Prec@1 42.969 (45.187)	Prec@5 75.781 (75.725)
Epoch: [54][5760/14090]	Time 0.736 (0.751)	Data 0.001 (0.002)	Loss 2.0985 (2.1683)	Prec@1 51.562 (45.188)	Prec@5 73.438 (75.726)
Epoch: [54][5770/14090]	Time 0.759 (0.751)	Data 0.002 (0.002)	Loss 2.2479 (2.1682)	Prec@1 47.656 (45.191)	Prec@5 74.219 (75.728)
Epoch: [54][5780/14090]	Time 0.729 (0.751)	Data 0.001 (0.002)	Loss 2.3710 (2.1684)	Prec@1 42.188 (45.190)	Prec@5 67.969 (75.724)
Epoch: [54][5790/14090]	Time 0.728 (0.751)	Data 0.001 (0.002)	Loss 2.0372 (2.1683)	Prec@1 53.906 (45.195)	Prec@5 77.344 (75.725)
Epoch: [54][5800/14090]	Time 0.752 (0.751)	Data 0.001 (0.002)	Loss 2.2894 (2.1683)	Prec@1 39.062 (45.195)	Prec@5 75.781 (75.724)
Epoch: [54][5810/14090]	Time 0.725 (0.751)	Data 0.001 (0.002)	Loss 2.2562 (2.1684)	Prec@1 53.125 (45.193)	Prec@5 75.000 (75.721)
Epoch: [54][5820/14090]	Time 0.732 (0.751)	Data 0.001 (0.002)	Loss 2.1463 (2.1684)	Prec@1 45.312 (45.193)	Prec@5 73.438 (75.721)
Epoch: [54][5830/14090]	Time 0.752 (0.751)	Data 0.001 (0.002)	Loss 2.1980 (2.1685)	Prec@1 44.531 (45.193)	Prec@5 74.219 (75.719)
Epoch: [54][5840/14090]	Time 0.730 (0.751)	Data 0.001 (0.002)	Loss 2.1621 (2.1684)	Prec@1 49.219 (45.194)	Prec@5 79.688 (75.722)
Epoch: [54][5850/14090]	Time 0.759 (0.751)	Data 0.001 (0.002)	Loss 2.0101 (2.1685)	Prec@1 47.656 (45.192)	Prec@5 77.344 (75.720)
Epoch: [54][5860/14090]	Time 0.758 (0.751)	Data 0.001 (0.002)	Loss 2.3672 (2.1684)	Prec@1 43.750 (45.192)	Prec@5 71.094 (75.721)
Epoch: [54][5870/14090]	Time 0.736 (0.751)	Data 0.001 (0.002)	Loss 2.0701 (2.1684)	Prec@1 46.875 (45.193)	Prec@5 82.031 (75.724)
Epoch: [54][5880/14090]	Time 0.774 (0.751)	Data 0.001 (0.002)	Loss 2.2495 (2.1685)	Prec@1 42.188 (45.194)	Prec@5 73.438 (75.722)
Epoch: [54][5890/14090]	Time 0.737 (0.751)	Data 0.001 (0.002)	Loss 2.2542 (2.1686)	Prec@1 41.406 (45.189)	Prec@5 68.750 (75.719)
Epoch: [54][5900/14090]	Time 0.735 (0.751)	Data 0.001 (0.002)	Loss 2.1791 (2.1685)	Prec@1 49.219 (45.191)	Prec@5 77.344 (75.724)
Epoch: [54][5910/14090]	Time 0.768 (0.751)	Data 0.001 (0.002)	Loss 2.2726 (2.1685)	Prec@1 37.500 (45.189)	Prec@5 71.094 (75.724)
Epoch: [54][5920/14090]	Time 0.731 (0.751)	Data 0.001 (0.002)	Loss 2.2368 (2.1687)	Prec@1 42.969 (45.187)	Prec@5 72.656 (75.721)
Epoch: [54][5930/14090]	Time 0.757 (0.751)	Data 0.001 (0.002)	Loss 2.2998 (2.1688)	Prec@1 39.844 (45.185)	Prec@5 79.688 (75.720)
Epoch: [54][5940/14090]	Time 0.727 (0.751)	Data 0.001 (0.002)	Loss 1.9573 (2.1689)	Prec@1 49.219 (45.182)	Prec@5 78.906 (75.720)
Epoch: [54][5950/14090]	Time 0.767 (0.751)	Data 0.001 (0.002)	Loss 2.4031 (2.1689)	Prec@1 42.969 (45.184)	Prec@5 67.969 (75.722)
Epoch: [54][5960/14090]	Time 0.752 (0.751)	Data 0.001 (0.002)	Loss 2.2610 (2.1689)	Prec@1 40.625 (45.182)	Prec@5 73.438 (75.721)
Epoch: [54][5970/14090]	Time 0.732 (0.751)	Data 0.001 (0.002)	Loss 2.1917 (2.1689)	Prec@1 38.281 (45.181)	Prec@5 73.438 (75.722)
Epoch: [54][5980/14090]	Time 0.728 (0.751)	Data 0.001 (0.002)	Loss 2.1820 (2.1690)	Prec@1 45.312 (45.178)	Prec@5 81.250 (75.721)
Epoch: [54][5990/14090]	Time 0.768 (0.751)	Data 0.001 (0.002)	Loss 2.4632 (2.1690)	Prec@1 34.375 (45.176)	Prec@5 74.219 (75.722)
Epoch: [54][6000/14090]	Time 0.761 (0.751)	Data 0.001 (0.002)	Loss 2.3401 (2.1691)	Prec@1 47.656 (45.174)	Prec@5 72.656 (75.719)
Epoch: [54][6010/14090]	Time 0.731 (0.751)	Data 0.001 (0.002)	Loss 2.3464 (2.1691)	Prec@1 46.094 (45.176)	Prec@5 75.000 (75.719)
Epoch: [54][6020/14090]	Time 0.762 (0.751)	Data 0.001 (0.002)	Loss 2.2377 (2.1692)	Prec@1 43.750 (45.174)	Prec@5 76.562 (75.717)
Epoch: [54][6030/14090]	Time 0.724 (0.751)	Data 0.001 (0.002)	Loss 2.5304 (2.1693)	Prec@1 36.719 (45.173)	Prec@5 67.188 (75.716)
Epoch: [54][6040/14090]	Time 0.750 (0.751)	Data 0.001 (0.002)	Loss 2.2203 (2.1692)	Prec@1 47.656 (45.175)	Prec@5 74.219 (75.719)
Epoch: [54][6050/14090]	Time 0.728 (0.751)	Data 0.001 (0.002)	Loss 2.3131 (2.1692)	Prec@1 42.969 (45.171)	Prec@5 71.094 (75.716)
Epoch: [54][6060/14090]	Time 0.733 (0.751)	Data 0.001 (0.002)	Loss 2.0172 (2.1691)	Prec@1 42.969 (45.173)	Prec@5 75.781 (75.717)
Epoch: [54][6070/14090]	Time 0.726 (0.751)	Data 0.001 (0.002)	Loss 1.9960 (2.1692)	Prec@1 46.875 (45.171)	Prec@5 77.344 (75.717)
Epoch: [54][6080/14090]	Time 0.753 (0.751)	Data 0.001 (0.002)	Loss 2.1821 (2.1692)	Prec@1 46.094 (45.172)	Prec@5 77.344 (75.718)
Epoch: [54][6090/14090]	Time 0.760 (0.751)	Data 0.001 (0.002)	Loss 2.4664 (2.1691)	Prec@1 42.969 (45.173)	Prec@5 68.750 (75.720)
Epoch: [54][6100/14090]	Time 0.748 (0.751)	Data 0.001 (0.002)	Loss 2.0782 (2.1691)	Prec@1 53.125 (45.173)	Prec@5 73.438 (75.718)
Epoch: [54][6110/14090]	Time 0.732 (0.751)	Data 0.001 (0.002)	Loss 2.3001 (2.1691)	Prec@1 40.625 (45.171)	Prec@5 71.094 (75.717)
Epoch: [54][6120/14090]	Time 0.770 (0.751)	Data 0.001 (0.002)	Loss 2.3528 (2.1692)	Prec@1 41.406 (45.170)	Prec@5 70.312 (75.714)
Epoch: [54][6130/14090]	Time 0.762 (0.751)	Data 0.001 (0.002)	Loss 2.1682 (2.1693)	Prec@1 40.625 (45.165)	Prec@5 74.219 (75.712)
Epoch: [54][6140/14090]	Time 0.758 (0.751)	Data 0.001 (0.002)	Loss 2.0031 (2.1694)	Prec@1 46.875 (45.167)	Prec@5 77.344 (75.709)
Epoch: [54][6150/14090]	Time 0.752 (0.751)	Data 0.001 (0.002)	Loss 2.3157 (2.1694)	Prec@1 42.188 (45.168)	Prec@5 71.875 (75.709)
Epoch: [54][6160/14090]	Time 0.761 (0.751)	Data 0.001 (0.002)	Loss 2.1597 (2.1695)	Prec@1 42.188 (45.167)	Prec@5 77.344 (75.708)
Epoch: [54][6170/14090]	Time 0.727 (0.751)	Data 0.001 (0.002)	Loss 2.4272 (2.1695)	Prec@1 38.281 (45.167)	Prec@5 71.094 (75.708)
Epoch: [54][6180/14090]	Time 0.735 (0.751)	Data 0.001 (0.002)	Loss 2.3816 (2.1696)	Prec@1 45.312 (45.168)	Prec@5 72.656 (75.706)
Epoch: [54][6190/14090]	Time 0.771 (0.751)	Data 0.001 (0.002)	Loss 2.0894 (2.1695)	Prec@1 46.094 (45.169)	Prec@5 78.125 (75.707)
Epoch: [54][6200/14090]	Time 0.729 (0.751)	Data 0.001 (0.002)	Loss 2.1217 (2.1696)	Prec@1 42.969 (45.167)	Prec@5 76.562 (75.705)
Epoch: [54][6210/14090]	Time 0.720 (0.751)	Data 0.001 (0.002)	Loss 2.3987 (2.1696)	Prec@1 44.531 (45.169)	Prec@5 67.188 (75.704)
Epoch: [54][6220/14090]	Time 0.763 (0.751)	Data 0.001 (0.002)	Loss 2.0070 (2.1694)	Prec@1 45.312 (45.171)	Prec@5 73.438 (75.705)
Epoch: [54][6230/14090]	Time 0.750 (0.751)	Data 0.001 (0.002)	Loss 2.1080 (2.1694)	Prec@1 49.219 (45.175)	Prec@5 77.344 (75.707)
Epoch: [54][6240/14090]	Time 0.729 (0.751)	Data 0.001 (0.002)	Loss 2.1096 (2.1694)	Prec@1 50.000 (45.176)	Prec@5 76.562 (75.705)
Epoch: [54][6250/14090]	Time 0.753 (0.751)	Data 0.001 (0.002)	Loss 2.2880 (2.1696)	Prec@1 40.625 (45.174)	Prec@5 71.094 (75.700)
Epoch: [54][6260/14090]	Time 0.745 (0.751)	Data 0.001 (0.002)	Loss 2.1614 (2.1695)	Prec@1 40.625 (45.175)	Prec@5 77.344 (75.703)
Epoch: [54][6270/14090]	Time 0.751 (0.751)	Data 0.001 (0.002)	Loss 2.0437 (2.1693)	Prec@1 52.344 (45.178)	Prec@5 80.469 (75.705)
Epoch: [54][6280/14090]	Time 0.722 (0.751)	Data 0.001 (0.002)	Loss 2.2539 (2.1694)	Prec@1 44.531 (45.179)	Prec@5 76.562 (75.705)
Epoch: [54][6290/14090]	Time 0.722 (0.751)	Data 0.001 (0.002)	Loss 2.1583 (2.1692)	Prec@1 44.531 (45.180)	Prec@5 74.219 (75.710)
Epoch: [54][6300/14090]	Time 0.731 (0.751)	Data 0.001 (0.002)	Loss 1.9022 (2.1691)	Prec@1 48.438 (45.183)	Prec@5 81.250 (75.710)
Epoch: [54][6310/14090]	Time 0.734 (0.751)	Data 0.001 (0.002)	Loss 2.1488 (2.1691)	Prec@1 44.531 (45.182)	Prec@5 72.656 (75.712)
Epoch: [54][6320/14090]	Time 0.828 (0.751)	Data 0.001 (0.002)	Loss 2.3360 (2.1692)	Prec@1 43.750 (45.181)	Prec@5 70.312 (75.711)
Epoch: [54][6330/14090]	Time 0.757 (0.751)	Data 0.001 (0.002)	Loss 2.0311 (2.1691)	Prec@1 50.781 (45.185)	Prec@5 76.562 (75.712)
Epoch: [54][6340/14090]	Time 0.745 (0.751)	Data 0.001 (0.002)	Loss 2.0760 (2.1691)	Prec@1 46.875 (45.186)	Prec@5 78.906 (75.713)
Epoch: [54][6350/14090]	Time 0.759 (0.751)	Data 0.001 (0.002)	Loss 2.1699 (2.1691)	Prec@1 44.531 (45.184)	Prec@5 74.219 (75.712)
Epoch: [54][6360/14090]	Time 0.726 (0.751)	Data 0.001 (0.002)	Loss 2.5285 (2.1693)	Prec@1 36.719 (45.179)	Prec@5 67.188 (75.709)
Epoch: [54][6370/14090]	Time 0.763 (0.751)	Data 0.001 (0.002)	Loss 2.2643 (2.1694)	Prec@1 46.094 (45.179)	Prec@5 74.219 (75.709)
Epoch: [54][6380/14090]	Time 0.767 (0.751)	Data 0.001 (0.002)	Loss 2.1471 (2.1694)	Prec@1 47.656 (45.181)	Prec@5 78.125 (75.707)
Epoch: [54][6390/14090]	Time 0.862 (0.751)	Data 0.001 (0.002)	Loss 2.2874 (2.1693)	Prec@1 39.844 (45.179)	Prec@5 77.344 (75.708)
Epoch: [54][6400/14090]	Time 0.744 (0.751)	Data 0.001 (0.002)	Loss 1.9056 (2.1693)	Prec@1 46.094 (45.180)	Prec@5 81.250 (75.711)
Epoch: [54][6410/14090]	Time 0.762 (0.751)	Data 0.001 (0.002)	Loss 2.2444 (2.1692)	Prec@1 42.969 (45.181)	Prec@5 75.781 (75.711)
Epoch: [54][6420/14090]	Time 0.758 (0.751)	Data 0.001 (0.002)	Loss 2.2277 (2.1692)	Prec@1 46.094 (45.182)	Prec@5 78.125 (75.713)
Epoch: [54][6430/14090]	Time 0.763 (0.751)	Data 0.001 (0.002)	Loss 2.4156 (2.1693)	Prec@1 44.531 (45.182)	Prec@5 71.875 (75.710)
Epoch: [54][6440/14090]	Time 0.764 (0.751)	Data 0.001 (0.002)	Loss 2.1455 (2.1692)	Prec@1 46.875 (45.183)	Prec@5 76.562 (75.709)
Epoch: [54][6450/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 1.8945 (2.1691)	Prec@1 49.219 (45.186)	Prec@5 81.250 (75.713)
Epoch: [54][6460/14090]	Time 0.729 (0.751)	Data 0.001 (0.002)	Loss 2.2689 (2.1690)	Prec@1 39.844 (45.188)	Prec@5 71.875 (75.716)
Epoch: [54][6470/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 2.0695 (2.1691)	Prec@1 49.219 (45.188)	Prec@5 77.344 (75.713)
Epoch: [54][6480/14090]	Time 0.740 (0.751)	Data 0.001 (0.002)	Loss 2.2570 (2.1691)	Prec@1 45.312 (45.188)	Prec@5 71.875 (75.712)
Epoch: [54][6490/14090]	Time 0.738 (0.751)	Data 0.001 (0.002)	Loss 2.3901 (2.1691)	Prec@1 42.188 (45.189)	Prec@5 73.438 (75.712)
Epoch: [54][6500/14090]	Time 0.749 (0.751)	Data 0.001 (0.002)	Loss 2.0792 (2.1690)	Prec@1 46.094 (45.190)	Prec@5 75.000 (75.712)
Epoch: [54][6510/14090]	Time 0.741 (0.751)	Data 0.001 (0.002)	Loss 2.3375 (2.1691)	Prec@1 35.156 (45.187)	Prec@5 74.219 (75.710)
Epoch: [54][6520/14090]	Time 0.758 (0.751)	Data 0.001 (0.002)	Loss 2.0223 (2.1691)	Prec@1 48.438 (45.186)	Prec@5 79.688 (75.709)
Epoch: [54][6530/14090]	Time 0.738 (0.751)	Data 0.001 (0.002)	Loss 2.3155 (2.1692)	Prec@1 39.062 (45.185)	Prec@5 71.875 (75.708)
Epoch: [54][6540/14090]	Time 0.725 (0.751)	Data 0.001 (0.002)	Loss 2.2093 (2.1692)	Prec@1 46.094 (45.185)	Prec@5 74.219 (75.709)
Epoch: [54][6550/14090]	Time 0.746 (0.751)	Data 0.001 (0.002)	Loss 2.2430 (2.1692)	Prec@1 42.188 (45.183)	Prec@5 71.875 (75.708)
Epoch: [54][6560/14090]	Time 0.744 (0.751)	Data 0.002 (0.002)	Loss 2.0144 (2.1692)	Prec@1 43.750 (45.184)	Prec@5 78.125 (75.710)
Epoch: [54][6570/14090]	Time 0.760 (0.751)	Data 0.001 (0.002)	Loss 2.0617 (2.1692)	Prec@1 42.969 (45.183)	Prec@5 78.906 (75.709)
Epoch: [54][6580/14090]	Time 0.760 (0.751)	Data 0.001 (0.002)	Loss 2.2098 (2.1692)	Prec@1 42.969 (45.182)	Prec@5 75.781 (75.708)
Epoch: [54][6590/14090]	Time 0.723 (0.751)	Data 0.001 (0.002)	Loss 2.2652 (2.1692)	Prec@1 38.281 (45.184)	Prec@5 75.781 (75.711)
Epoch: [54][6600/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 2.4215 (2.1692)	Prec@1 45.312 (45.182)	Prec@5 64.062 (75.709)
Epoch: [54][6610/14090]	Time 0.771 (0.751)	Data 0.001 (0.002)	Loss 2.2719 (2.1693)	Prec@1 43.750 (45.180)	Prec@5 72.656 (75.707)
Epoch: [54][6620/14090]	Time 0.753 (0.751)	Data 0.001 (0.002)	Loss 2.1810 (2.1693)	Prec@1 51.562 (45.181)	Prec@5 76.562 (75.706)
Epoch: [54][6630/14090]	Time 0.741 (0.751)	Data 0.001 (0.002)	Loss 2.4093 (2.1693)	Prec@1 43.750 (45.181)	Prec@5 68.750 (75.708)
Epoch: [54][6640/14090]	Time 0.766 (0.751)	Data 0.001 (0.002)	Loss 2.2356 (2.1694)	Prec@1 43.750 (45.180)	Prec@5 74.219 (75.705)
Epoch: [54][6650/14090]	Time 0.760 (0.751)	Data 0.001 (0.002)	Loss 2.3889 (2.1693)	Prec@1 45.312 (45.183)	Prec@5 69.531 (75.704)
Epoch: [54][6660/14090]	Time 0.726 (0.751)	Data 0.001 (0.002)	Loss 2.2866 (2.1694)	Prec@1 42.969 (45.183)	Prec@5 74.219 (75.701)
Epoch: [54][6670/14090]	Time 0.724 (0.751)	Data 0.001 (0.002)	Loss 2.1624 (2.1695)	Prec@1 49.219 (45.185)	Prec@5 73.438 (75.698)
Epoch: [54][6680/14090]	Time 0.771 (0.751)	Data 0.001 (0.002)	Loss 2.0985 (2.1696)	Prec@1 42.969 (45.182)	Prec@5 77.344 (75.694)
Epoch: [54][6690/14090]	Time 0.726 (0.751)	Data 0.001 (0.002)	Loss 2.0982 (2.1696)	Prec@1 53.125 (45.184)	Prec@5 76.562 (75.696)
Epoch: [54][6700/14090]	Time 0.751 (0.751)	Data 0.001 (0.002)	Loss 2.1769 (2.1696)	Prec@1 46.875 (45.184)	Prec@5 70.312 (75.694)
Epoch: [54][6710/14090]	Time 0.719 (0.751)	Data 0.001 (0.002)	Loss 2.2308 (2.1696)	Prec@1 42.969 (45.182)	Prec@5 75.781 (75.692)
Epoch: [54][6720/14090]	Time 0.779 (0.751)	Data 0.001 (0.002)	Loss 2.4132 (2.1697)	Prec@1 46.094 (45.181)	Prec@5 71.875 (75.691)
Epoch: [54][6730/14090]	Time 0.770 (0.751)	Data 0.001 (0.002)	Loss 2.2460 (2.1698)	Prec@1 46.094 (45.176)	Prec@5 75.781 (75.690)
Epoch: [54][6740/14090]	Time 0.750 (0.751)	Data 0.001 (0.002)	Loss 2.0361 (2.1698)	Prec@1 44.531 (45.178)	Prec@5 76.562 (75.691)
Epoch: [54][6750/14090]	Time 0.728 (0.751)	Data 0.001 (0.002)	Loss 1.9553 (2.1698)	Prec@1 43.750 (45.180)	Prec@5 78.125 (75.693)
Epoch: [54][6760/14090]	Time 0.773 (0.751)	Data 0.001 (0.002)	Loss 1.9457 (2.1697)	Prec@1 46.875 (45.177)	Prec@5 82.031 (75.695)
Epoch: [54][6770/14090]	Time 0.726 (0.751)	Data 0.001 (0.002)	Loss 1.8873 (2.1697)	Prec@1 45.312 (45.177)	Prec@5 83.594 (75.696)
Epoch: [54][6780/14090]	Time 0.758 (0.751)	Data 0.001 (0.002)	Loss 2.1275 (2.1697)	Prec@1 47.656 (45.176)	Prec@5 76.562 (75.697)
Epoch: [54][6790/14090]	Time 0.727 (0.751)	Data 0.001 (0.002)	Loss 2.2251 (2.1698)	Prec@1 44.531 (45.172)	Prec@5 74.219 (75.694)
Epoch: [54][6800/14090]	Time 0.741 (0.751)	Data 0.002 (0.002)	Loss 2.2567 (2.1698)	Prec@1 42.969 (45.170)	Prec@5 73.438 (75.693)
Epoch: [54][6810/14090]	Time 0.732 (0.751)	Data 0.001 (0.002)	Loss 2.1796 (2.1699)	Prec@1 46.875 (45.168)	Prec@5 71.094 (75.691)
Epoch: [54][6820/14090]	Time 0.751 (0.751)	Data 0.001 (0.002)	Loss 1.9288 (2.1698)	Prec@1 50.000 (45.170)	Prec@5 79.688 (75.693)
Epoch: [54][6830/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 1.9851 (2.1698)	Prec@1 50.781 (45.169)	Prec@5 82.812 (75.694)
Epoch: [54][6840/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 1.8655 (2.1697)	Prec@1 48.438 (45.169)	Prec@5 84.375 (75.696)
Epoch: [54][6850/14090]	Time 0.731 (0.751)	Data 0.001 (0.002)	Loss 2.0296 (2.1697)	Prec@1 53.906 (45.170)	Prec@5 78.906 (75.696)
Epoch: [54][6860/14090]	Time 0.744 (0.751)	Data 0.001 (0.002)	Loss 2.3428 (2.1697)	Prec@1 42.188 (45.171)	Prec@5 75.000 (75.696)
Epoch: [54][6870/14090]	Time 0.734 (0.751)	Data 0.001 (0.002)	Loss 2.1316 (2.1698)	Prec@1 39.844 (45.167)	Prec@5 82.031 (75.698)
Epoch: [54][6880/14090]	Time 0.743 (0.751)	Data 0.002 (0.002)	Loss 1.9907 (2.1697)	Prec@1 52.344 (45.170)	Prec@5 76.562 (75.699)
Epoch: [54][6890/14090]	Time 0.730 (0.751)	Data 0.001 (0.002)	Loss 2.5592 (2.1698)	Prec@1 38.281 (45.167)	Prec@5 74.219 (75.698)
Epoch: [54][6900/14090]	Time 0.731 (0.751)	Data 0.002 (0.002)	Loss 1.8927 (2.1698)	Prec@1 50.781 (45.166)	Prec@5 82.812 (75.699)
Epoch: [54][6910/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 2.2996 (2.1698)	Prec@1 41.406 (45.166)	Prec@5 75.781 (75.699)
Epoch: [54][6920/14090]	Time 0.776 (0.751)	Data 0.001 (0.002)	Loss 2.2077 (2.1697)	Prec@1 48.438 (45.167)	Prec@5 73.438 (75.702)
Epoch: [54][6930/14090]	Time 0.756 (0.751)	Data 0.001 (0.002)	Loss 1.9894 (2.1697)	Prec@1 50.000 (45.169)	Prec@5 79.688 (75.703)
Epoch: [54][6940/14090]	Time 0.726 (0.751)	Data 0.001 (0.002)	Loss 2.1116 (2.1697)	Prec@1 46.875 (45.172)	Prec@5 74.219 (75.703)
Epoch: [54][6950/14090]	Time 0.835 (0.751)	Data 0.001 (0.002)	Loss 2.3856 (2.1698)	Prec@1 38.281 (45.172)	Prec@5 75.000 (75.703)
Epoch: [54][6960/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 2.1895 (2.1698)	Prec@1 41.406 (45.172)	Prec@5 79.688 (75.705)
Epoch: [54][6970/14090]	Time 0.746 (0.751)	Data 0.001 (0.002)	Loss 2.1453 (2.1698)	Prec@1 46.875 (45.172)	Prec@5 72.656 (75.705)
Epoch: [54][6980/14090]	Time 0.764 (0.751)	Data 0.001 (0.002)	Loss 1.9476 (2.1698)	Prec@1 53.906 (45.173)	Prec@5 81.250 (75.707)
Epoch: [54][6990/14090]	Time 0.753 (0.751)	Data 0.001 (0.002)	Loss 2.1479 (2.1697)	Prec@1 45.312 (45.176)	Prec@5 75.781 (75.707)
Epoch: [54][7000/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 2.1298 (2.1697)	Prec@1 44.531 (45.177)	Prec@5 76.562 (75.708)
Epoch: [54][7010/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 2.0291 (2.1696)	Prec@1 45.312 (45.177)	Prec@5 78.906 (75.710)
Epoch: [54][7020/14090]	Time 0.726 (0.751)	Data 0.001 (0.002)	Loss 2.2759 (2.1697)	Prec@1 42.969 (45.176)	Prec@5 70.312 (75.707)
Epoch: [54][7030/14090]	Time 0.767 (0.751)	Data 0.001 (0.002)	Loss 2.3408 (2.1697)	Prec@1 57.031 (45.178)	Prec@5 71.875 (75.707)
Epoch: [54][7040/14090]	Time 0.742 (0.751)	Data 0.001 (0.002)	Loss 2.2365 (2.1697)	Prec@1 42.969 (45.178)	Prec@5 71.875 (75.705)
Epoch: [54][7050/14090]	Time 0.740 (0.751)	Data 0.001 (0.002)	Loss 2.2517 (2.1697)	Prec@1 46.094 (45.177)	Prec@5 75.781 (75.707)
Epoch: [54][7060/14090]	Time 0.728 (0.751)	Data 0.001 (0.002)	Loss 1.8605 (2.1695)	Prec@1 53.906 (45.180)	Prec@5 79.688 (75.709)
Epoch: [54][7070/14090]	Time 0.759 (0.751)	Data 0.001 (0.002)	Loss 2.1383 (2.1695)	Prec@1 40.625 (45.179)	Prec@5 78.125 (75.710)
Epoch: [54][7080/14090]	Time 0.742 (0.751)	Data 0.001 (0.002)	Loss 1.9856 (2.1695)	Prec@1 48.438 (45.180)	Prec@5 78.906 (75.710)
Epoch: [54][7090/14090]	Time 0.722 (0.751)	Data 0.001 (0.002)	Loss 1.8704 (2.1695)	Prec@1 53.906 (45.182)	Prec@5 82.031 (75.710)
Epoch: [54][7100/14090]	Time 0.753 (0.751)	Data 0.001 (0.002)	Loss 2.2500 (2.1697)	Prec@1 38.281 (45.177)	Prec@5 79.688 (75.709)
Epoch: [54][7110/14090]	Time 0.735 (0.751)	Data 0.001 (0.002)	Loss 2.0900 (2.1697)	Prec@1 42.188 (45.177)	Prec@5 74.219 (75.708)
Epoch: [54][7120/14090]	Time 0.730 (0.751)	Data 0.001 (0.002)	Loss 2.2608 (2.1696)	Prec@1 46.094 (45.180)	Prec@5 70.312 (75.708)
Epoch: [54][7130/14090]	Time 0.735 (0.751)	Data 0.001 (0.002)	Loss 2.4012 (2.1698)	Prec@1 39.844 (45.177)	Prec@5 70.312 (75.707)
Epoch: [54][7140/14090]	Time 0.741 (0.751)	Data 0.001 (0.002)	Loss 2.4512 (2.1698)	Prec@1 42.969 (45.176)	Prec@5 67.969 (75.706)
Epoch: [54][7150/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 2.0434 (2.1698)	Prec@1 48.438 (45.177)	Prec@5 79.688 (75.705)
Epoch: [54][7160/14090]	Time 0.751 (0.751)	Data 0.001 (0.002)	Loss 1.9483 (2.1698)	Prec@1 50.781 (45.180)	Prec@5 77.344 (75.703)
Epoch: [54][7170/14090]	Time 0.718 (0.751)	Data 0.001 (0.002)	Loss 2.0179 (2.1698)	Prec@1 45.312 (45.179)	Prec@5 82.031 (75.704)
Epoch: [54][7180/14090]	Time 0.732 (0.751)	Data 0.001 (0.002)	Loss 2.2796 (2.1699)	Prec@1 42.969 (45.177)	Prec@5 78.125 (75.703)
Epoch: [54][7190/14090]	Time 0.731 (0.751)	Data 0.001 (0.002)	Loss 2.0648 (2.1698)	Prec@1 44.531 (45.178)	Prec@5 78.906 (75.706)
Epoch: [54][7200/14090]	Time 0.757 (0.751)	Data 0.001 (0.002)	Loss 1.8719 (2.1697)	Prec@1 46.875 (45.177)	Prec@5 83.594 (75.707)
Epoch: [54][7210/14090]	Time 0.750 (0.751)	Data 0.001 (0.002)	Loss 2.2585 (2.1698)	Prec@1 40.625 (45.176)	Prec@5 75.781 (75.708)
Epoch: [54][7220/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 2.4502 (2.1699)	Prec@1 40.625 (45.173)	Prec@5 73.438 (75.707)
Epoch: [54][7230/14090]	Time 0.735 (0.751)	Data 0.001 (0.002)	Loss 1.8648 (2.1699)	Prec@1 50.781 (45.173)	Prec@5 78.906 (75.706)
Epoch: [54][7240/14090]	Time 0.759 (0.751)	Data 0.001 (0.002)	Loss 2.4111 (2.1700)	Prec@1 40.625 (45.170)	Prec@5 71.875 (75.706)
Epoch: [54][7250/14090]	Time 0.761 (0.751)	Data 0.001 (0.002)	Loss 2.0433 (2.1700)	Prec@1 46.875 (45.169)	Prec@5 78.125 (75.706)
Epoch: [54][7260/14090]	Time 0.761 (0.751)	Data 0.001 (0.002)	Loss 2.0349 (2.1698)	Prec@1 49.219 (45.174)	Prec@5 77.344 (75.708)
Epoch: [54][7270/14090]	Time 0.737 (0.751)	Data 0.001 (0.002)	Loss 2.1381 (2.1699)	Prec@1 46.094 (45.172)	Prec@5 75.781 (75.706)
Epoch: [54][7280/14090]	Time 0.786 (0.751)	Data 0.001 (0.002)	Loss 2.4964 (2.1700)	Prec@1 41.406 (45.170)	Prec@5 65.625 (75.703)
Epoch: [54][7290/14090]	Time 0.757 (0.751)	Data 0.001 (0.002)	Loss 1.8335 (2.1700)	Prec@1 47.656 (45.170)	Prec@5 83.594 (75.702)
Epoch: [54][7300/14090]	Time 0.797 (0.751)	Data 0.001 (0.002)	Loss 2.1875 (2.1699)	Prec@1 42.969 (45.171)	Prec@5 72.656 (75.703)
Epoch: [54][7310/14090]	Time 0.742 (0.751)	Data 0.001 (0.002)	Loss 2.1563 (2.1700)	Prec@1 49.219 (45.170)	Prec@5 75.781 (75.703)
Epoch: [54][7320/14090]	Time 0.768 (0.751)	Data 0.001 (0.002)	Loss 2.1695 (2.1700)	Prec@1 46.094 (45.171)	Prec@5 75.781 (75.701)
Epoch: [54][7330/14090]	Time 0.728 (0.751)	Data 0.001 (0.002)	Loss 2.2009 (2.1700)	Prec@1 46.094 (45.173)	Prec@5 76.562 (75.702)
Epoch: [54][7340/14090]	Time 0.736 (0.751)	Data 0.001 (0.002)	Loss 2.3268 (2.1701)	Prec@1 43.750 (45.170)	Prec@5 71.094 (75.699)
Epoch: [54][7350/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 2.0559 (2.1701)	Prec@1 48.438 (45.170)	Prec@5 84.375 (75.700)
Epoch: [54][7360/14090]	Time 0.730 (0.751)	Data 0.001 (0.002)	Loss 2.0821 (2.1700)	Prec@1 44.531 (45.170)	Prec@5 78.906 (75.702)
Epoch: [54][7370/14090]	Time 0.757 (0.751)	Data 0.001 (0.002)	Loss 2.0716 (2.1701)	Prec@1 48.438 (45.171)	Prec@5 77.344 (75.701)
Epoch: [54][7380/14090]	Time 0.756 (0.751)	Data 0.001 (0.002)	Loss 2.1849 (2.1702)	Prec@1 46.875 (45.168)	Prec@5 77.344 (75.700)
Epoch: [54][7390/14090]	Time 0.744 (0.751)	Data 0.001 (0.002)	Loss 2.2248 (2.1702)	Prec@1 46.875 (45.167)	Prec@5 72.656 (75.700)
Epoch: [54][7400/14090]	Time 0.762 (0.751)	Data 0.001 (0.002)	Loss 2.2968 (2.1703)	Prec@1 42.969 (45.164)	Prec@5 72.656 (75.696)
Epoch: [54][7410/14090]	Time 0.748 (0.751)	Data 0.001 (0.002)	Loss 2.4066 (2.1703)	Prec@1 40.625 (45.165)	Prec@5 72.656 (75.696)
Epoch: [54][7420/14090]	Time 0.750 (0.751)	Data 0.001 (0.002)	Loss 2.2682 (2.1704)	Prec@1 43.750 (45.164)	Prec@5 78.906 (75.695)
Epoch: [54][7430/14090]	Time 0.733 (0.751)	Data 0.001 (0.002)	Loss 2.3008 (2.1704)	Prec@1 41.406 (45.165)	Prec@5 71.094 (75.696)
Epoch: [54][7440/14090]	Time 0.753 (0.751)	Data 0.001 (0.002)	Loss 2.1857 (2.1703)	Prec@1 41.406 (45.165)	Prec@5 76.562 (75.697)
Epoch: [54][7450/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 2.1176 (2.1702)	Prec@1 43.750 (45.165)	Prec@5 80.469 (75.698)
Epoch: [54][7460/14090]	Time 0.765 (0.751)	Data 0.001 (0.002)	Loss 2.3385 (2.1702)	Prec@1 37.500 (45.163)	Prec@5 73.438 (75.698)
Epoch: [54][7470/14090]	Time 0.769 (0.751)	Data 0.001 (0.002)	Loss 2.2008 (2.1703)	Prec@1 41.406 (45.159)	Prec@5 73.438 (75.696)
Epoch: [54][7480/14090]	Time 0.745 (0.751)	Data 0.001 (0.002)	Loss 1.9468 (2.1703)	Prec@1 52.344 (45.157)	Prec@5 81.250 (75.696)
Epoch: [54][7490/14090]	Time 0.725 (0.751)	Data 0.001 (0.002)	Loss 2.1867 (2.1703)	Prec@1 44.531 (45.158)	Prec@5 75.781 (75.696)
Epoch: [54][7500/14090]	Time 0.725 (0.751)	Data 0.001 (0.002)	Loss 2.2087 (2.1702)	Prec@1 39.844 (45.160)	Prec@5 76.562 (75.701)
Epoch: [54][7510/14090]	Time 0.772 (0.751)	Data 0.001 (0.002)	Loss 2.0644 (2.1702)	Prec@1 41.406 (45.160)	Prec@5 76.562 (75.701)
Epoch: [54][7520/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 2.0622 (2.1703)	Prec@1 52.344 (45.160)	Prec@5 80.469 (75.698)
Epoch: [54][7530/14090]	Time 0.729 (0.751)	Data 0.001 (0.002)	Loss 2.1438 (2.1702)	Prec@1 42.188 (45.160)	Prec@5 77.344 (75.699)
Epoch: [54][7540/14090]	Time 0.765 (0.751)	Data 0.001 (0.002)	Loss 1.9845 (2.1702)	Prec@1 51.562 (45.162)	Prec@5 75.000 (75.699)
Epoch: [54][7550/14090]	Time 0.735 (0.751)	Data 0.001 (0.002)	Loss 2.3148 (2.1703)	Prec@1 40.625 (45.158)	Prec@5 75.781 (75.698)
Epoch: [54][7560/14090]	Time 0.766 (0.751)	Data 0.001 (0.002)	Loss 2.2751 (2.1702)	Prec@1 44.531 (45.161)	Prec@5 69.531 (75.700)
Epoch: [54][7570/14090]	Time 0.734 (0.751)	Data 0.001 (0.002)	Loss 2.1346 (2.1703)	Prec@1 46.094 (45.158)	Prec@5 77.344 (75.701)
Epoch: [54][7580/14090]	Time 0.751 (0.751)	Data 0.001 (0.002)	Loss 2.2528 (2.1704)	Prec@1 46.875 (45.158)	Prec@5 72.656 (75.698)
Epoch: [54][7590/14090]	Time 0.745 (0.751)	Data 0.001 (0.002)	Loss 2.2705 (2.1704)	Prec@1 39.062 (45.157)	Prec@5 80.469 (75.699)
Epoch: [54][7600/14090]	Time 0.728 (0.751)	Data 0.001 (0.002)	Loss 1.9210 (2.1704)	Prec@1 56.250 (45.156)	Prec@5 82.812 (75.697)
Epoch: [54][7610/14090]	Time 0.760 (0.751)	Data 0.001 (0.002)	Loss 2.0029 (2.1704)	Prec@1 52.344 (45.157)	Prec@5 80.469 (75.697)
Epoch: [54][7620/14090]	Time 0.727 (0.751)	Data 0.001 (0.002)	Loss 2.2862 (2.1705)	Prec@1 43.750 (45.156)	Prec@5 71.875 (75.693)
Epoch: [54][7630/14090]	Time 0.732 (0.751)	Data 0.001 (0.002)	Loss 2.5833 (2.1705)	Prec@1 36.719 (45.157)	Prec@5 70.312 (75.693)
Epoch: [54][7640/14090]	Time 0.734 (0.751)	Data 0.001 (0.002)	Loss 2.4034 (2.1705)	Prec@1 39.844 (45.156)	Prec@5 71.094 (75.692)
Epoch: [54][7650/14090]	Time 0.805 (0.751)	Data 0.001 (0.002)	Loss 2.2311 (2.1705)	Prec@1 44.531 (45.157)	Prec@5 71.875 (75.692)
Epoch: [54][7660/14090]	Time 0.759 (0.751)	Data 0.001 (0.002)	Loss 1.9550 (2.1704)	Prec@1 52.344 (45.158)	Prec@5 78.906 (75.692)
Epoch: [54][7670/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 2.3526 (2.1707)	Prec@1 43.750 (45.155)	Prec@5 74.219 (75.687)
Epoch: [54][7680/14090]	Time 0.762 (0.751)	Data 0.001 (0.002)	Loss 2.0111 (2.1707)	Prec@1 50.781 (45.153)	Prec@5 79.688 (75.688)
Epoch: [54][7690/14090]	Time 0.745 (0.751)	Data 0.001 (0.002)	Loss 2.1224 (2.1707)	Prec@1 43.750 (45.153)	Prec@5 76.562 (75.689)
Epoch: [54][7700/14090]	Time 0.748 (0.751)	Data 0.001 (0.002)	Loss 2.2226 (2.1707)	Prec@1 44.531 (45.150)	Prec@5 71.875 (75.689)
Epoch: [54][7710/14090]	Time 0.727 (0.751)	Data 0.001 (0.002)	Loss 2.3536 (2.1707)	Prec@1 42.969 (45.150)	Prec@5 75.781 (75.688)
Epoch: [54][7720/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 2.2956 (2.1708)	Prec@1 46.875 (45.152)	Prec@5 75.000 (75.686)
Epoch: [54][7730/14090]	Time 0.765 (0.751)	Data 0.001 (0.002)	Loss 2.1306 (2.1708)	Prec@1 46.875 (45.149)	Prec@5 75.781 (75.687)
Epoch: [54][7740/14090]	Time 0.765 (0.751)	Data 0.001 (0.002)	Loss 2.2806 (2.1708)	Prec@1 35.938 (45.148)	Prec@5 71.094 (75.687)
Epoch: [54][7750/14090]	Time 0.736 (0.751)	Data 0.001 (0.002)	Loss 2.1318 (2.1708)	Prec@1 40.625 (45.146)	Prec@5 75.000 (75.683)
Epoch: [54][7760/14090]	Time 0.760 (0.751)	Data 0.001 (0.002)	Loss 2.1579 (2.1707)	Prec@1 42.969 (45.148)	Prec@5 72.656 (75.685)
Epoch: [54][7770/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 2.1129 (2.1707)	Prec@1 42.969 (45.148)	Prec@5 77.344 (75.686)
Epoch: [54][7780/14090]	Time 0.724 (0.751)	Data 0.001 (0.002)	Loss 2.2408 (2.1708)	Prec@1 38.281 (45.147)	Prec@5 75.781 (75.685)
Epoch: [54][7790/14090]	Time 0.765 (0.751)	Data 0.001 (0.002)	Loss 2.0186 (2.1707)	Prec@1 48.438 (45.149)	Prec@5 80.469 (75.686)
Epoch: [54][7800/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 2.1184 (2.1709)	Prec@1 50.000 (45.145)	Prec@5 82.031 (75.683)
Epoch: [54][7810/14090]	Time 0.772 (0.751)	Data 0.001 (0.002)	Loss 2.3143 (2.1710)	Prec@1 40.625 (45.143)	Prec@5 72.656 (75.681)
Epoch: [54][7820/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 1.9279 (2.1709)	Prec@1 55.469 (45.147)	Prec@5 77.344 (75.681)
Epoch: [54][7830/14090]	Time 0.733 (0.751)	Data 0.001 (0.002)	Loss 2.0822 (2.1709)	Prec@1 48.438 (45.147)	Prec@5 78.906 (75.680)
Epoch: [54][7840/14090]	Time 0.721 (0.751)	Data 0.001 (0.002)	Loss 2.2916 (2.1709)	Prec@1 39.062 (45.148)	Prec@5 75.781 (75.680)
Epoch: [54][7850/14090]	Time 0.726 (0.751)	Data 0.001 (0.002)	Loss 2.2469 (2.1709)	Prec@1 43.750 (45.150)	Prec@5 74.219 (75.682)
Epoch: [54][7860/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 2.3259 (2.1709)	Prec@1 42.969 (45.149)	Prec@5 69.531 (75.682)
Epoch: [54][7870/14090]	Time 0.763 (0.751)	Data 0.001 (0.002)	Loss 1.9055 (2.1709)	Prec@1 49.219 (45.148)	Prec@5 78.906 (75.683)
Epoch: [54][7880/14090]	Time 0.757 (0.751)	Data 0.001 (0.002)	Loss 2.4132 (2.1710)	Prec@1 43.750 (45.146)	Prec@5 70.312 (75.679)
Epoch: [54][7890/14090]	Time 0.750 (0.751)	Data 0.005 (0.002)	Loss 2.1837 (2.1709)	Prec@1 43.750 (45.148)	Prec@5 74.219 (75.682)
Epoch: [54][7900/14090]	Time 0.749 (0.751)	Data 0.001 (0.002)	Loss 1.9167 (2.1709)	Prec@1 49.219 (45.149)	Prec@5 85.156 (75.682)
Epoch: [54][7910/14090]	Time 0.750 (0.751)	Data 0.001 (0.002)	Loss 2.1938 (2.1709)	Prec@1 39.844 (45.149)	Prec@5 74.219 (75.682)
Epoch: [54][7920/14090]	Time 0.761 (0.751)	Data 0.001 (0.002)	Loss 2.2541 (2.1710)	Prec@1 41.406 (45.147)	Prec@5 73.438 (75.681)
Epoch: [54][7930/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 2.2179 (2.1709)	Prec@1 39.844 (45.148)	Prec@5 72.656 (75.682)
Epoch: [54][7940/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 2.1297 (2.1710)	Prec@1 49.219 (45.146)	Prec@5 78.125 (75.683)
Epoch: [54][7950/14090]	Time 0.728 (0.751)	Data 0.001 (0.002)	Loss 1.9886 (2.1710)	Prec@1 52.344 (45.147)	Prec@5 75.000 (75.681)
Epoch: [54][7960/14090]	Time 0.722 (0.751)	Data 0.001 (0.002)	Loss 2.3774 (2.1711)	Prec@1 39.062 (45.145)	Prec@5 69.531 (75.679)
Epoch: [54][7970/14090]	Time 0.737 (0.751)	Data 0.001 (0.002)	Loss 2.0003 (2.1712)	Prec@1 46.094 (45.145)	Prec@5 75.781 (75.677)
Epoch: [54][7980/14090]	Time 0.736 (0.751)	Data 0.001 (0.002)	Loss 2.0989 (2.1713)	Prec@1 41.406 (45.141)	Prec@5 78.906 (75.675)
Epoch: [54][7990/14090]	Time 0.729 (0.751)	Data 0.001 (0.002)	Loss 2.0805 (2.1713)	Prec@1 42.969 (45.141)	Prec@5 77.344 (75.673)
Epoch: [54][8000/14090]	Time 0.731 (0.751)	Data 0.001 (0.002)	Loss 2.3000 (2.1714)	Prec@1 45.312 (45.140)	Prec@5 76.562 (75.673)
Epoch: [54][8010/14090]	Time 0.750 (0.751)	Data 0.001 (0.002)	Loss 2.3697 (2.1715)	Prec@1 39.844 (45.137)	Prec@5 68.750 (75.670)
Epoch: [54][8020/14090]	Time 0.726 (0.751)	Data 0.001 (0.002)	Loss 2.0504 (2.1715)	Prec@1 48.438 (45.139)	Prec@5 74.219 (75.670)
Epoch: [54][8030/14090]	Time 0.763 (0.751)	Data 0.001 (0.002)	Loss 2.1297 (2.1715)	Prec@1 45.312 (45.137)	Prec@5 76.562 (75.669)
Epoch: [54][8040/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 2.3651 (2.1716)	Prec@1 44.531 (45.137)	Prec@5 71.875 (75.668)
Epoch: [54][8050/14090]	Time 0.751 (0.751)	Data 0.002 (0.002)	Loss 2.3033 (2.1716)	Prec@1 39.844 (45.135)	Prec@5 74.219 (75.669)
Epoch: [54][8060/14090]	Time 0.738 (0.751)	Data 0.001 (0.002)	Loss 2.2559 (2.1716)	Prec@1 45.312 (45.138)	Prec@5 75.781 (75.668)
Epoch: [54][8070/14090]	Time 0.762 (0.751)	Data 0.001 (0.002)	Loss 2.2088 (2.1715)	Prec@1 45.312 (45.139)	Prec@5 76.562 (75.671)
Epoch: [54][8080/14090]	Time 0.723 (0.751)	Data 0.001 (0.002)	Loss 2.1629 (2.1715)	Prec@1 48.438 (45.140)	Prec@5 72.656 (75.670)
Epoch: [54][8090/14090]	Time 0.753 (0.751)	Data 0.001 (0.002)	Loss 2.0953 (2.1714)	Prec@1 48.438 (45.140)	Prec@5 72.656 (75.670)
Epoch: [54][8100/14090]	Time 0.765 (0.751)	Data 0.001 (0.002)	Loss 1.8813 (2.1714)	Prec@1 47.656 (45.139)	Prec@5 78.125 (75.670)
Epoch: [54][8110/14090]	Time 0.736 (0.751)	Data 0.001 (0.002)	Loss 2.1542 (2.1714)	Prec@1 47.656 (45.139)	Prec@5 74.219 (75.670)
Epoch: [54][8120/14090]	Time 0.729 (0.751)	Data 0.001 (0.002)	Loss 2.2194 (2.1714)	Prec@1 42.969 (45.141)	Prec@5 77.344 (75.671)
Epoch: [54][8130/14090]	Time 0.746 (0.751)	Data 0.001 (0.002)	Loss 2.2135 (2.1714)	Prec@1 46.875 (45.139)	Prec@5 75.781 (75.670)
Epoch: [54][8140/14090]	Time 0.777 (0.751)	Data 0.001 (0.002)	Loss 1.8737 (2.1714)	Prec@1 49.219 (45.138)	Prec@5 78.125 (75.669)
Epoch: [54][8150/14090]	Time 0.733 (0.751)	Data 0.001 (0.002)	Loss 2.1489 (2.1714)	Prec@1 42.188 (45.139)	Prec@5 78.125 (75.671)
Epoch: [54][8160/14090]	Time 0.778 (0.751)	Data 0.001 (0.002)	Loss 2.0623 (2.1714)	Prec@1 48.438 (45.138)	Prec@5 72.656 (75.670)
Epoch: [54][8170/14090]	Time 0.770 (0.751)	Data 0.001 (0.002)	Loss 2.3255 (2.1715)	Prec@1 42.188 (45.136)	Prec@5 73.438 (75.668)
Epoch: [54][8180/14090]	Time 0.758 (0.751)	Data 0.001 (0.002)	Loss 2.4339 (2.1715)	Prec@1 36.719 (45.136)	Prec@5 71.875 (75.669)
Epoch: [54][8190/14090]	Time 0.776 (0.751)	Data 0.001 (0.002)	Loss 2.2118 (2.1715)	Prec@1 42.188 (45.134)	Prec@5 79.688 (75.669)
Epoch: [54][8200/14090]	Time 0.721 (0.751)	Data 0.001 (0.002)	Loss 2.2116 (2.1714)	Prec@1 46.094 (45.134)	Prec@5 76.562 (75.671)
Epoch: [54][8210/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 2.2285 (2.1714)	Prec@1 42.969 (45.134)	Prec@5 73.438 (75.672)
Epoch: [54][8220/14090]	Time 0.749 (0.751)	Data 0.001 (0.002)	Loss 1.7568 (2.1714)	Prec@1 56.250 (45.136)	Prec@5 78.125 (75.672)
Epoch: [54][8230/14090]	Time 0.762 (0.751)	Data 0.001 (0.002)	Loss 2.1238 (2.1714)	Prec@1 46.875 (45.136)	Prec@5 80.469 (75.672)
Epoch: [54][8240/14090]	Time 0.746 (0.751)	Data 0.001 (0.002)	Loss 2.3214 (2.1714)	Prec@1 46.875 (45.137)	Prec@5 74.219 (75.673)
Epoch: [54][8250/14090]	Time 0.728 (0.751)	Data 0.001 (0.002)	Loss 2.5550 (2.1715)	Prec@1 36.719 (45.137)	Prec@5 67.188 (75.669)
Epoch: [54][8260/14090]	Time 0.757 (0.751)	Data 0.001 (0.002)	Loss 2.4223 (2.1716)	Prec@1 39.844 (45.135)	Prec@5 67.188 (75.666)
Epoch: [54][8270/14090]	Time 0.746 (0.751)	Data 0.001 (0.002)	Loss 1.9897 (2.1716)	Prec@1 46.875 (45.135)	Prec@5 78.906 (75.665)
Epoch: [54][8280/14090]	Time 0.764 (0.751)	Data 0.001 (0.002)	Loss 2.0781 (2.1716)	Prec@1 54.688 (45.135)	Prec@5 82.031 (75.664)
Epoch: [54][8290/14090]	Time 0.763 (0.751)	Data 0.001 (0.002)	Loss 2.0091 (2.1717)	Prec@1 51.562 (45.133)	Prec@5 75.781 (75.663)
Epoch: [54][8300/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.1935 (2.1716)	Prec@1 45.312 (45.135)	Prec@5 77.344 (75.664)
Epoch: [54][8310/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 2.0323 (2.1717)	Prec@1 50.781 (45.135)	Prec@5 75.781 (75.665)
Epoch: [54][8320/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 2.2231 (2.1715)	Prec@1 41.406 (45.136)	Prec@5 73.438 (75.667)
Epoch: [54][8330/14090]	Time 0.739 (0.751)	Data 0.001 (0.001)	Loss 2.1980 (2.1715)	Prec@1 47.656 (45.137)	Prec@5 75.000 (75.668)
Epoch: [54][8340/14090]	Time 0.785 (0.751)	Data 0.001 (0.001)	Loss 2.5865 (2.1716)	Prec@1 35.938 (45.137)	Prec@5 68.750 (75.667)
Epoch: [54][8350/14090]	Time 0.924 (0.751)	Data 0.001 (0.001)	Loss 2.1146 (2.1716)	Prec@1 45.312 (45.137)	Prec@5 77.344 (75.666)
Epoch: [54][8360/14090]	Time 0.762 (0.751)	Data 0.001 (0.001)	Loss 2.3692 (2.1716)	Prec@1 41.406 (45.134)	Prec@5 73.438 (75.666)
Epoch: [54][8370/14090]	Time 0.741 (0.751)	Data 0.001 (0.001)	Loss 2.3779 (2.1716)	Prec@1 39.844 (45.134)	Prec@5 75.781 (75.666)
Epoch: [54][8380/14090]	Time 0.729 (0.751)	Data 0.001 (0.001)	Loss 2.1880 (2.1717)	Prec@1 45.312 (45.131)	Prec@5 76.562 (75.664)
Epoch: [54][8390/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 1.9978 (2.1718)	Prec@1 47.656 (45.130)	Prec@5 80.469 (75.662)
Epoch: [54][8400/14090]	Time 0.734 (0.751)	Data 0.001 (0.001)	Loss 2.2034 (2.1718)	Prec@1 42.969 (45.131)	Prec@5 74.219 (75.662)
Epoch: [54][8410/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.1782 (2.1718)	Prec@1 50.000 (45.130)	Prec@5 74.219 (75.662)
Epoch: [54][8420/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 2.1421 (2.1718)	Prec@1 48.438 (45.131)	Prec@5 71.094 (75.660)
Epoch: [54][8430/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 2.0612 (2.1719)	Prec@1 49.219 (45.128)	Prec@5 78.906 (75.660)
Epoch: [54][8440/14090]	Time 0.766 (0.751)	Data 0.002 (0.001)	Loss 2.2601 (2.1719)	Prec@1 43.750 (45.129)	Prec@5 74.219 (75.660)
Epoch: [54][8450/14090]	Time 0.768 (0.751)	Data 0.001 (0.001)	Loss 2.0823 (2.1720)	Prec@1 42.969 (45.128)	Prec@5 79.688 (75.658)
Epoch: [54][8460/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 2.0762 (2.1719)	Prec@1 46.875 (45.128)	Prec@5 76.562 (75.659)
Epoch: [54][8470/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 2.0375 (2.1720)	Prec@1 45.312 (45.128)	Prec@5 77.344 (75.658)
Epoch: [54][8480/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 2.2707 (2.1721)	Prec@1 42.188 (45.127)	Prec@5 75.781 (75.656)
Epoch: [54][8490/14090]	Time 0.729 (0.751)	Data 0.001 (0.001)	Loss 2.4883 (2.1720)	Prec@1 36.719 (45.129)	Prec@5 71.094 (75.657)
Epoch: [54][8500/14090]	Time 0.734 (0.751)	Data 0.001 (0.001)	Loss 2.4827 (2.1721)	Prec@1 37.500 (45.128)	Prec@5 71.094 (75.657)
Epoch: [54][8510/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 2.1260 (2.1721)	Prec@1 48.438 (45.125)	Prec@5 75.000 (75.656)
Epoch: [54][8520/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 2.3115 (2.1722)	Prec@1 48.438 (45.125)	Prec@5 71.094 (75.655)
Epoch: [54][8530/14090]	Time 0.779 (0.751)	Data 0.001 (0.001)	Loss 2.2028 (2.1722)	Prec@1 47.656 (45.124)	Prec@5 68.750 (75.652)
Epoch: [54][8540/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 2.3265 (2.1723)	Prec@1 42.969 (45.123)	Prec@5 73.438 (75.651)
Epoch: [54][8550/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 1.8999 (2.1723)	Prec@1 54.688 (45.123)	Prec@5 80.469 (75.651)
Epoch: [54][8560/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 1.8723 (2.1723)	Prec@1 50.781 (45.123)	Prec@5 85.156 (75.654)
Epoch: [54][8570/14090]	Time 0.734 (0.751)	Data 0.001 (0.001)	Loss 1.9653 (2.1721)	Prec@1 51.562 (45.125)	Prec@5 83.594 (75.656)
Epoch: [54][8580/14090]	Time 0.733 (0.751)	Data 0.001 (0.001)	Loss 2.1910 (2.1720)	Prec@1 50.781 (45.127)	Prec@5 78.906 (75.658)
Epoch: [54][8590/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 2.1201 (2.1720)	Prec@1 47.656 (45.126)	Prec@5 77.344 (75.658)
Epoch: [54][8600/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 1.9107 (2.1720)	Prec@1 52.344 (45.124)	Prec@5 82.031 (75.659)
Epoch: [54][8610/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 2.2463 (2.1720)	Prec@1 45.312 (45.125)	Prec@5 75.000 (75.658)
Epoch: [54][8620/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 2.0616 (2.1721)	Prec@1 53.906 (45.123)	Prec@5 77.344 (75.658)
Epoch: [54][8630/14090]	Time 0.820 (0.751)	Data 0.001 (0.001)	Loss 2.2878 (2.1721)	Prec@1 46.875 (45.123)	Prec@5 75.000 (75.657)
Epoch: [54][8640/14090]	Time 0.728 (0.751)	Data 0.001 (0.001)	Loss 2.1652 (2.1721)	Prec@1 44.531 (45.126)	Prec@5 75.781 (75.659)
Epoch: [54][8650/14090]	Time 0.755 (0.751)	Data 0.002 (0.001)	Loss 2.1501 (2.1721)	Prec@1 38.281 (45.125)	Prec@5 76.562 (75.659)
Epoch: [54][8660/14090]	Time 0.731 (0.751)	Data 0.001 (0.001)	Loss 2.0571 (2.1721)	Prec@1 40.625 (45.124)	Prec@5 82.031 (75.659)
Epoch: [54][8670/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 1.9952 (2.1720)	Prec@1 51.562 (45.127)	Prec@5 79.688 (75.660)
Epoch: [54][8680/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 2.1465 (2.1721)	Prec@1 46.875 (45.127)	Prec@5 76.562 (75.659)
Epoch: [54][8690/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 2.1208 (2.1722)	Prec@1 44.531 (45.124)	Prec@5 76.562 (75.657)
Epoch: [54][8700/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 2.0062 (2.1722)	Prec@1 43.750 (45.124)	Prec@5 82.031 (75.656)
Epoch: [54][8710/14090]	Time 0.761 (0.751)	Data 0.001 (0.001)	Loss 1.9845 (2.1721)	Prec@1 49.219 (45.126)	Prec@5 84.375 (75.658)
Epoch: [54][8720/14090]	Time 0.742 (0.751)	Data 0.001 (0.001)	Loss 2.1938 (2.1721)	Prec@1 46.094 (45.125)	Prec@5 73.438 (75.660)
Epoch: [54][8730/14090]	Time 0.720 (0.751)	Data 0.001 (0.001)	Loss 2.2945 (2.1721)	Prec@1 43.750 (45.126)	Prec@5 75.000 (75.660)
Epoch: [54][8740/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 2.2113 (2.1721)	Prec@1 46.094 (45.126)	Prec@5 73.438 (75.659)
Epoch: [54][8750/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 2.2135 (2.1721)	Prec@1 53.125 (45.128)	Prec@5 75.000 (75.659)
Epoch: [54][8760/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 2.2021 (2.1722)	Prec@1 46.094 (45.126)	Prec@5 76.562 (75.656)
Epoch: [54][8770/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 2.3265 (2.1722)	Prec@1 43.750 (45.126)	Prec@5 72.656 (75.656)
Epoch: [54][8780/14090]	Time 0.716 (0.751)	Data 0.001 (0.001)	Loss 2.0731 (2.1723)	Prec@1 41.406 (45.125)	Prec@5 78.125 (75.656)
Epoch: [54][8790/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 2.3511 (2.1723)	Prec@1 39.062 (45.125)	Prec@5 78.125 (75.655)
Epoch: [54][8800/14090]	Time 0.737 (0.751)	Data 0.001 (0.001)	Loss 1.9580 (2.1722)	Prec@1 51.562 (45.125)	Prec@5 78.125 (75.657)
Epoch: [54][8810/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 2.2840 (2.1722)	Prec@1 42.969 (45.124)	Prec@5 71.875 (75.656)
Epoch: [54][8820/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 1.9658 (2.1722)	Prec@1 47.656 (45.122)	Prec@5 79.688 (75.658)
Epoch: [54][8830/14090]	Time 0.740 (0.751)	Data 0.001 (0.001)	Loss 2.2515 (2.1722)	Prec@1 46.094 (45.121)	Prec@5 75.781 (75.657)
Epoch: [54][8840/14090]	Time 0.774 (0.751)	Data 0.001 (0.001)	Loss 2.2728 (2.1722)	Prec@1 40.625 (45.121)	Prec@5 77.344 (75.658)
Epoch: [54][8850/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 2.0010 (2.1721)	Prec@1 50.781 (45.123)	Prec@5 76.562 (75.659)
Epoch: [54][8860/14090]	Time 0.758 (0.751)	Data 0.002 (0.001)	Loss 2.4535 (2.1721)	Prec@1 38.281 (45.124)	Prec@5 71.875 (75.659)
Epoch: [54][8870/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 2.2074 (2.1723)	Prec@1 39.062 (45.121)	Prec@5 75.000 (75.657)
Epoch: [54][8880/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 2.3034 (2.1723)	Prec@1 42.969 (45.121)	Prec@5 73.438 (75.659)
Epoch: [54][8890/14090]	Time 0.727 (0.751)	Data 0.001 (0.001)	Loss 2.1027 (2.1722)	Prec@1 44.531 (45.121)	Prec@5 76.562 (75.658)
Epoch: [54][8900/14090]	Time 0.765 (0.751)	Data 0.001 (0.001)	Loss 2.2743 (2.1722)	Prec@1 46.094 (45.121)	Prec@5 76.562 (75.660)
Epoch: [54][8910/14090]	Time 0.762 (0.751)	Data 0.001 (0.001)	Loss 2.5389 (2.1722)	Prec@1 35.156 (45.120)	Prec@5 70.312 (75.660)
Epoch: [54][8920/14090]	Time 0.730 (0.751)	Data 0.002 (0.001)	Loss 2.4095 (2.1723)	Prec@1 36.719 (45.116)	Prec@5 69.531 (75.660)
Epoch: [54][8930/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 1.9554 (2.1723)	Prec@1 52.344 (45.116)	Prec@5 78.906 (75.660)
Epoch: [54][8940/14090]	Time 0.729 (0.751)	Data 0.001 (0.001)	Loss 2.1252 (2.1722)	Prec@1 46.094 (45.118)	Prec@5 79.688 (75.663)
Epoch: [54][8950/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 2.3115 (2.1722)	Prec@1 37.500 (45.117)	Prec@5 71.875 (75.661)
Epoch: [54][8960/14090]	Time 0.737 (0.751)	Data 0.001 (0.001)	Loss 2.1613 (2.1722)	Prec@1 42.969 (45.117)	Prec@5 76.562 (75.661)
Epoch: [54][8970/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 2.1311 (2.1721)	Prec@1 50.000 (45.118)	Prec@5 75.781 (75.663)
Epoch: [54][8980/14090]	Time 0.791 (0.751)	Data 0.001 (0.001)	Loss 2.2064 (2.1721)	Prec@1 42.188 (45.118)	Prec@5 73.438 (75.662)
Epoch: [54][8990/14090]	Time 0.774 (0.751)	Data 0.001 (0.001)	Loss 2.1016 (2.1721)	Prec@1 41.406 (45.118)	Prec@5 73.438 (75.661)
Epoch: [54][9000/14090]	Time 0.783 (0.751)	Data 0.001 (0.001)	Loss 2.3096 (2.1721)	Prec@1 42.969 (45.119)	Prec@5 70.312 (75.661)
Epoch: [54][9010/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 2.3510 (2.1721)	Prec@1 43.750 (45.119)	Prec@5 71.875 (75.660)
Epoch: [54][9020/14090]	Time 0.724 (0.751)	Data 0.001 (0.001)	Loss 1.8770 (2.1722)	Prec@1 50.781 (45.117)	Prec@5 78.906 (75.659)
Epoch: [54][9030/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 1.9936 (2.1722)	Prec@1 48.438 (45.114)	Prec@5 79.688 (75.660)
Epoch: [54][9040/14090]	Time 0.757 (0.751)	Data 0.001 (0.001)	Loss 2.3236 (2.1722)	Prec@1 44.531 (45.114)	Prec@5 72.656 (75.659)
Epoch: [54][9050/14090]	Time 0.727 (0.751)	Data 0.001 (0.001)	Loss 1.8059 (2.1722)	Prec@1 52.344 (45.115)	Prec@5 81.250 (75.662)
Epoch: [54][9060/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 2.1229 (2.1722)	Prec@1 51.562 (45.114)	Prec@5 75.000 (75.660)
Epoch: [54][9070/14090]	Time 0.728 (0.751)	Data 0.001 (0.001)	Loss 1.8852 (2.1722)	Prec@1 50.781 (45.112)	Prec@5 79.688 (75.660)
Epoch: [54][9080/14090]	Time 0.772 (0.751)	Data 0.001 (0.001)	Loss 2.5016 (2.1723)	Prec@1 40.625 (45.110)	Prec@5 67.969 (75.658)
Epoch: [54][9090/14090]	Time 0.726 (0.751)	Data 0.001 (0.001)	Loss 2.2787 (2.1723)	Prec@1 45.312 (45.112)	Prec@5 74.219 (75.659)
Epoch: [54][9100/14090]	Time 0.759 (0.751)	Data 0.001 (0.001)	Loss 2.3859 (2.1723)	Prec@1 43.750 (45.111)	Prec@5 71.875 (75.659)
Epoch: [54][9110/14090]	Time 0.761 (0.751)	Data 0.001 (0.001)	Loss 2.4276 (2.1724)	Prec@1 41.406 (45.110)	Prec@5 70.312 (75.659)
Epoch: [54][9120/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 2.4366 (2.1725)	Prec@1 39.844 (45.108)	Prec@5 69.531 (75.656)
Epoch: [54][9130/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 2.0287 (2.1725)	Prec@1 42.969 (45.107)	Prec@5 82.031 (75.656)
Epoch: [54][9140/14090]	Time 0.761 (0.751)	Data 0.001 (0.001)	Loss 2.0287 (2.1725)	Prec@1 46.094 (45.105)	Prec@5 79.688 (75.655)
Epoch: [54][9150/14090]	Time 0.776 (0.751)	Data 0.001 (0.001)	Loss 2.2274 (2.1727)	Prec@1 42.188 (45.103)	Prec@5 75.000 (75.654)
Epoch: [54][9160/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 2.0130 (2.1727)	Prec@1 44.531 (45.102)	Prec@5 79.688 (75.654)
Epoch: [54][9170/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 2.1475 (2.1726)	Prec@1 46.875 (45.103)	Prec@5 73.438 (75.654)
Epoch: [54][9180/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 2.3762 (2.1727)	Prec@1 40.625 (45.103)	Prec@5 71.094 (75.652)
Epoch: [54][9190/14090]	Time 0.762 (0.751)	Data 0.001 (0.001)	Loss 2.2014 (2.1726)	Prec@1 42.188 (45.103)	Prec@5 72.656 (75.653)
Epoch: [54][9200/14090]	Time 0.774 (0.751)	Data 0.001 (0.001)	Loss 2.3528 (2.1727)	Prec@1 39.062 (45.102)	Prec@5 74.219 (75.652)
Epoch: [54][9210/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 2.1109 (2.1727)	Prec@1 43.750 (45.102)	Prec@5 77.344 (75.651)
Epoch: [54][9220/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 2.0765 (2.1727)	Prec@1 45.312 (45.102)	Prec@5 73.438 (75.651)
Epoch: [54][9230/14090]	Time 0.760 (0.751)	Data 0.001 (0.001)	Loss 2.0891 (2.1727)	Prec@1 51.562 (45.102)	Prec@5 75.000 (75.650)
Epoch: [54][9240/14090]	Time 0.746 (0.751)	Data 0.003 (0.001)	Loss 2.4390 (2.1728)	Prec@1 42.188 (45.099)	Prec@5 73.438 (75.649)
Epoch: [54][9250/14090]	Time 0.785 (0.751)	Data 0.001 (0.001)	Loss 2.3019 (2.1728)	Prec@1 45.312 (45.100)	Prec@5 73.438 (75.649)
Epoch: [54][9260/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 2.0119 (2.1728)	Prec@1 46.094 (45.099)	Prec@5 76.562 (75.649)
Epoch: [54][9270/14090]	Time 0.758 (0.751)	Data 0.002 (0.001)	Loss 2.1983 (2.1728)	Prec@1 50.000 (45.100)	Prec@5 75.000 (75.647)
Epoch: [54][9280/14090]	Time 0.730 (0.751)	Data 0.001 (0.001)	Loss 1.8812 (2.1728)	Prec@1 48.438 (45.100)	Prec@5 80.469 (75.648)
Epoch: [54][9290/14090]	Time 0.725 (0.751)	Data 0.001 (0.001)	Loss 2.3120 (2.1728)	Prec@1 36.719 (45.099)	Prec@5 74.219 (75.648)
Epoch: [54][9300/14090]	Time 0.730 (0.751)	Data 0.001 (0.001)	Loss 2.1079 (2.1728)	Prec@1 46.875 (45.100)	Prec@5 75.000 (75.649)
Epoch: [54][9310/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 2.0678 (2.1728)	Prec@1 51.562 (45.099)	Prec@5 78.906 (75.650)
Epoch: [54][9320/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 2.1535 (2.1728)	Prec@1 46.094 (45.098)	Prec@5 80.469 (75.651)
Epoch: [54][9330/14090]	Time 0.852 (0.751)	Data 0.001 (0.001)	Loss 2.4249 (2.1728)	Prec@1 35.938 (45.100)	Prec@5 69.531 (75.652)
Epoch: [54][9340/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 2.1623 (2.1728)	Prec@1 44.531 (45.099)	Prec@5 74.219 (75.652)
Epoch: [54][9350/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 2.4050 (2.1729)	Prec@1 42.969 (45.097)	Prec@5 77.344 (75.650)
Epoch: [54][9360/14090]	Time 0.730 (0.751)	Data 0.001 (0.001)	Loss 2.3813 (2.1729)	Prec@1 38.281 (45.095)	Prec@5 73.438 (75.650)
Epoch: [54][9370/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 1.8986 (2.1729)	Prec@1 51.562 (45.093)	Prec@5 78.906 (75.648)
Epoch: [54][9380/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 2.1128 (2.1730)	Prec@1 46.094 (45.090)	Prec@5 75.781 (75.647)
Epoch: [54][9390/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 2.4091 (2.1730)	Prec@1 39.062 (45.089)	Prec@5 68.750 (75.646)
Epoch: [54][9400/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 2.2496 (2.1731)	Prec@1 46.094 (45.087)	Prec@5 72.656 (75.644)
Epoch: [54][9410/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 2.0103 (2.1731)	Prec@1 44.531 (45.087)	Prec@5 77.344 (75.645)
Epoch: [54][9420/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 2.2973 (2.1731)	Prec@1 40.625 (45.086)	Prec@5 74.219 (75.646)
Epoch: [54][9430/14090]	Time 0.730 (0.751)	Data 0.001 (0.001)	Loss 2.2715 (2.1731)	Prec@1 41.406 (45.085)	Prec@5 69.531 (75.645)
Epoch: [54][9440/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.4291 (2.1732)	Prec@1 42.969 (45.084)	Prec@5 71.094 (75.643)
Epoch: [54][9450/14090]	Time 0.773 (0.751)	Data 0.001 (0.001)	Loss 2.2018 (2.1732)	Prec@1 45.312 (45.083)	Prec@5 75.000 (75.643)
Epoch: [54][9460/14090]	Time 0.761 (0.751)	Data 0.001 (0.001)	Loss 2.0419 (2.1732)	Prec@1 47.656 (45.084)	Prec@5 78.906 (75.645)
Epoch: [54][9470/14090]	Time 0.773 (0.751)	Data 0.001 (0.001)	Loss 2.0442 (2.1733)	Prec@1 44.531 (45.081)	Prec@5 80.469 (75.645)
Epoch: [54][9480/14090]	Time 0.764 (0.751)	Data 0.001 (0.001)	Loss 2.2203 (2.1733)	Prec@1 47.656 (45.083)	Prec@5 73.438 (75.646)
Epoch: [54][9490/14090]	Time 0.782 (0.751)	Data 0.001 (0.001)	Loss 2.2278 (2.1732)	Prec@1 35.938 (45.083)	Prec@5 71.094 (75.646)
Epoch: [54][9500/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 2.1213 (2.1731)	Prec@1 50.781 (45.086)	Prec@5 76.562 (75.648)
Epoch: [54][9510/14090]	Time 0.742 (0.751)	Data 0.001 (0.001)	Loss 2.1945 (2.1732)	Prec@1 41.406 (45.085)	Prec@5 73.438 (75.647)
Epoch: [54][9520/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 2.0731 (2.1731)	Prec@1 49.219 (45.086)	Prec@5 75.000 (75.648)
Epoch: [54][9530/14090]	Time 0.763 (0.751)	Data 0.001 (0.001)	Loss 2.1234 (2.1731)	Prec@1 42.969 (45.089)	Prec@5 78.906 (75.648)
Epoch: [54][9540/14090]	Time 0.767 (0.751)	Data 0.001 (0.001)	Loss 2.2849 (2.1731)	Prec@1 42.188 (45.089)	Prec@5 75.781 (75.649)
Epoch: [54][9550/14090]	Time 0.782 (0.751)	Data 0.001 (0.001)	Loss 2.1732 (2.1730)	Prec@1 46.094 (45.091)	Prec@5 75.000 (75.649)
Epoch: [54][9560/14090]	Time 0.750 (0.751)	Data 0.002 (0.001)	Loss 2.3961 (2.1731)	Prec@1 42.188 (45.090)	Prec@5 64.844 (75.647)
Epoch: [54][9570/14090]	Time 0.737 (0.751)	Data 0.001 (0.001)	Loss 2.0624 (2.1731)	Prec@1 47.656 (45.090)	Prec@5 75.000 (75.648)
Epoch: [54][9580/14090]	Time 0.737 (0.751)	Data 0.001 (0.001)	Loss 2.1069 (2.1731)	Prec@1 47.656 (45.090)	Prec@5 76.562 (75.648)
Epoch: [54][9590/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 2.0359 (2.1731)	Prec@1 50.000 (45.092)	Prec@5 79.688 (75.650)
Epoch: [54][9600/14090]	Time 0.773 (0.751)	Data 0.001 (0.001)	Loss 2.2018 (2.1731)	Prec@1 44.531 (45.092)	Prec@5 73.438 (75.650)
Epoch: [54][9610/14090]	Time 0.734 (0.751)	Data 0.001 (0.001)	Loss 2.1262 (2.1730)	Prec@1 47.656 (45.095)	Prec@5 74.219 (75.650)
Epoch: [54][9620/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 2.2429 (2.1731)	Prec@1 41.406 (45.096)	Prec@5 73.438 (75.649)
Epoch: [54][9630/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 2.0160 (2.1730)	Prec@1 49.219 (45.097)	Prec@5 78.906 (75.649)
Epoch: [54][9640/14090]	Time 0.739 (0.751)	Data 0.001 (0.001)	Loss 2.2449 (2.1730)	Prec@1 44.531 (45.098)	Prec@5 76.562 (75.651)
Epoch: [54][9650/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 2.0705 (2.1730)	Prec@1 47.656 (45.099)	Prec@5 78.906 (75.651)
Epoch: [54][9660/14090]	Time 0.719 (0.751)	Data 0.001 (0.001)	Loss 2.5678 (2.1729)	Prec@1 35.938 (45.101)	Prec@5 70.312 (75.652)
Epoch: [54][9670/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 2.1007 (2.1728)	Prec@1 42.188 (45.104)	Prec@5 77.344 (75.653)
Epoch: [54][9680/14090]	Time 0.742 (0.751)	Data 0.001 (0.001)	Loss 2.2148 (2.1729)	Prec@1 50.000 (45.102)	Prec@5 75.781 (75.652)
Epoch: [54][9690/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 2.3961 (2.1729)	Prec@1 37.500 (45.103)	Prec@5 67.969 (75.651)
Epoch: [54][9700/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 2.3391 (2.1729)	Prec@1 42.188 (45.102)	Prec@5 77.344 (75.651)
Epoch: [54][9710/14090]	Time 0.731 (0.751)	Data 0.001 (0.001)	Loss 2.3656 (2.1729)	Prec@1 44.531 (45.103)	Prec@5 74.219 (75.650)
Epoch: [54][9720/14090]	Time 0.759 (0.751)	Data 0.001 (0.001)	Loss 2.0711 (2.1729)	Prec@1 47.656 (45.104)	Prec@5 80.469 (75.650)
Epoch: [54][9730/14090]	Time 0.766 (0.751)	Data 0.001 (0.001)	Loss 2.3607 (2.1729)	Prec@1 38.281 (45.105)	Prec@5 75.781 (75.651)
Epoch: [54][9740/14090]	Time 0.733 (0.751)	Data 0.001 (0.001)	Loss 2.0125 (2.1730)	Prec@1 48.438 (45.104)	Prec@5 78.125 (75.651)
Epoch: [54][9750/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 1.9989 (2.1730)	Prec@1 50.781 (45.106)	Prec@5 78.125 (75.652)
Epoch: [54][9760/14090]	Time 0.742 (0.751)	Data 0.001 (0.001)	Loss 2.4987 (2.1730)	Prec@1 38.281 (45.104)	Prec@5 71.875 (75.652)
Epoch: [54][9770/14090]	Time 0.734 (0.751)	Data 0.001 (0.001)	Loss 2.3684 (2.1730)	Prec@1 41.406 (45.103)	Prec@5 71.875 (75.651)
Epoch: [54][9780/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 1.7600 (2.1729)	Prec@1 53.906 (45.106)	Prec@5 86.719 (75.654)
Epoch: [54][9790/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 2.1325 (2.1729)	Prec@1 44.531 (45.106)	Prec@5 76.562 (75.654)
Epoch: [54][9800/14090]	Time 0.725 (0.751)	Data 0.001 (0.001)	Loss 2.0357 (2.1729)	Prec@1 45.312 (45.107)	Prec@5 78.906 (75.655)
Epoch: [54][9810/14090]	Time 0.725 (0.751)	Data 0.001 (0.001)	Loss 2.1783 (2.1728)	Prec@1 43.750 (45.107)	Prec@5 76.562 (75.655)
Epoch: [54][9820/14090]	Time 0.728 (0.751)	Data 0.001 (0.001)	Loss 2.2622 (2.1729)	Prec@1 43.750 (45.105)	Prec@5 78.125 (75.655)
Epoch: [54][9830/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 2.2931 (2.1729)	Prec@1 44.531 (45.104)	Prec@5 76.562 (75.655)
Epoch: [54][9840/14090]	Time 0.742 (0.751)	Data 0.001 (0.001)	Loss 2.0773 (2.1729)	Prec@1 53.125 (45.107)	Prec@5 78.125 (75.654)
Epoch: [54][9850/14090]	Time 0.764 (0.751)	Data 0.001 (0.001)	Loss 2.3121 (2.1729)	Prec@1 35.938 (45.109)	Prec@5 67.969 (75.653)
Epoch: [54][9860/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 2.0446 (2.1729)	Prec@1 53.125 (45.111)	Prec@5 78.125 (75.654)
Epoch: [54][9870/14090]	Time 0.727 (0.751)	Data 0.001 (0.001)	Loss 2.1177 (2.1728)	Prec@1 47.656 (45.113)	Prec@5 77.344 (75.655)
Epoch: [54][9880/14090]	Time 0.774 (0.751)	Data 0.001 (0.001)	Loss 2.0887 (2.1729)	Prec@1 46.094 (45.112)	Prec@5 73.438 (75.654)
Epoch: [54][9890/14090]	Time 0.769 (0.751)	Data 0.001 (0.001)	Loss 2.0914 (2.1729)	Prec@1 42.969 (45.113)	Prec@5 80.469 (75.654)
Epoch: [54][9900/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 2.2932 (2.1728)	Prec@1 41.406 (45.114)	Prec@5 71.094 (75.655)
Epoch: [54][9910/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 1.9897 (2.1728)	Prec@1 47.656 (45.114)	Prec@5 78.906 (75.656)
Epoch: [54][9920/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 2.1995 (2.1728)	Prec@1 44.531 (45.114)	Prec@5 73.438 (75.657)
Epoch: [54][9930/14090]	Time 0.729 (0.751)	Data 0.001 (0.001)	Loss 2.2804 (2.1727)	Prec@1 45.312 (45.114)	Prec@5 73.438 (75.659)
Epoch: [54][9940/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 2.2401 (2.1727)	Prec@1 38.281 (45.115)	Prec@5 72.656 (75.660)
Epoch: [54][9950/14090]	Time 0.763 (0.751)	Data 0.001 (0.001)	Loss 2.2029 (2.1728)	Prec@1 43.750 (45.113)	Prec@5 73.438 (75.658)
Epoch: [54][9960/14090]	Time 0.723 (0.751)	Data 0.001 (0.001)	Loss 2.1863 (2.1727)	Prec@1 40.625 (45.112)	Prec@5 74.219 (75.659)
Epoch: [54][9970/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.1313 (2.1727)	Prec@1 46.875 (45.112)	Prec@5 74.219 (75.660)
Epoch: [54][9980/14090]	Time 0.729 (0.751)	Data 0.001 (0.001)	Loss 1.8126 (2.1727)	Prec@1 52.344 (45.115)	Prec@5 83.594 (75.662)
Epoch: [54][9990/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 2.1370 (2.1726)	Prec@1 46.875 (45.116)	Prec@5 75.781 (75.664)
Epoch: [54][10000/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 2.2256 (2.1725)	Prec@1 38.281 (45.115)	Prec@5 78.906 (75.665)
Epoch: [54][10010/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 2.2465 (2.1724)	Prec@1 43.750 (45.119)	Prec@5 73.438 (75.668)
Epoch: [54][10020/14090]	Time 0.737 (0.751)	Data 0.001 (0.001)	Loss 2.1710 (2.1724)	Prec@1 42.969 (45.119)	Prec@5 76.562 (75.669)
Epoch: [54][10030/14090]	Time 0.720 (0.751)	Data 0.001 (0.001)	Loss 2.1626 (2.1724)	Prec@1 41.406 (45.119)	Prec@5 76.562 (75.669)
Epoch: [54][10040/14090]	Time 0.762 (0.751)	Data 0.001 (0.001)	Loss 2.1733 (2.1724)	Prec@1 35.938 (45.115)	Prec@5 78.125 (75.668)
Epoch: [54][10050/14090]	Time 0.729 (0.751)	Data 0.001 (0.001)	Loss 2.1545 (2.1724)	Prec@1 45.312 (45.115)	Prec@5 72.656 (75.669)
Epoch: [54][10060/14090]	Time 0.731 (0.751)	Data 0.001 (0.001)	Loss 2.4250 (2.1724)	Prec@1 35.938 (45.112)	Prec@5 67.969 (75.669)
Epoch: [54][10070/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 2.0686 (2.1724)	Prec@1 48.438 (45.111)	Prec@5 77.344 (75.669)
Epoch: [54][10080/14090]	Time 0.781 (0.751)	Data 0.001 (0.001)	Loss 2.1147 (2.1725)	Prec@1 50.000 (45.111)	Prec@5 73.438 (75.668)
Epoch: [54][10090/14090]	Time 0.775 (0.751)	Data 0.001 (0.001)	Loss 2.1523 (2.1724)	Prec@1 42.188 (45.111)	Prec@5 78.906 (75.670)
Epoch: [54][10100/14090]	Time 0.742 (0.751)	Data 0.001 (0.001)	Loss 2.1809 (2.1725)	Prec@1 39.844 (45.111)	Prec@5 74.219 (75.669)
Epoch: [54][10110/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.3870 (2.1725)	Prec@1 39.062 (45.111)	Prec@5 69.531 (75.669)
Epoch: [54][10120/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.3637 (2.1725)	Prec@1 44.531 (45.110)	Prec@5 70.312 (75.669)
Epoch: [54][10130/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 2.1555 (2.1725)	Prec@1 46.094 (45.110)	Prec@5 77.344 (75.669)
Epoch: [54][10140/14090]	Time 0.731 (0.751)	Data 0.001 (0.001)	Loss 2.1513 (2.1725)	Prec@1 43.750 (45.109)	Prec@5 75.000 (75.668)
Epoch: [54][10150/14090]	Time 0.761 (0.751)	Data 0.001 (0.001)	Loss 2.4703 (2.1724)	Prec@1 40.625 (45.111)	Prec@5 70.312 (75.668)
Epoch: [54][10160/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 2.3207 (2.1724)	Prec@1 46.875 (45.113)	Prec@5 68.750 (75.668)
Epoch: [54][10170/14090]	Time 0.797 (0.751)	Data 0.001 (0.001)	Loss 2.3025 (2.1724)	Prec@1 42.188 (45.115)	Prec@5 73.438 (75.668)
Epoch: [54][10180/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 2.3042 (2.1724)	Prec@1 42.969 (45.113)	Prec@5 71.875 (75.668)
Epoch: [54][10190/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 2.3204 (2.1725)	Prec@1 39.844 (45.113)	Prec@5 71.875 (75.668)
Epoch: [54][10200/14090]	Time 0.768 (0.751)	Data 0.001 (0.001)	Loss 1.9419 (2.1724)	Prec@1 47.656 (45.114)	Prec@5 79.688 (75.668)
Epoch: [54][10210/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 2.3800 (2.1723)	Prec@1 40.625 (45.115)	Prec@5 72.656 (75.670)
Epoch: [54][10220/14090]	Time 0.734 (0.751)	Data 0.001 (0.001)	Loss 2.1404 (2.1723)	Prec@1 47.656 (45.114)	Prec@5 76.562 (75.671)
Epoch: [54][10230/14090]	Time 0.734 (0.751)	Data 0.001 (0.001)	Loss 2.2692 (2.1723)	Prec@1 46.094 (45.114)	Prec@5 73.438 (75.671)
Epoch: [54][10240/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 1.8912 (2.1722)	Prec@1 48.438 (45.116)	Prec@5 82.812 (75.674)
Epoch: [54][10250/14090]	Time 0.741 (0.751)	Data 0.002 (0.001)	Loss 2.0815 (2.1722)	Prec@1 51.562 (45.117)	Prec@5 78.125 (75.675)
Epoch: [54][10260/14090]	Time 0.727 (0.751)	Data 0.001 (0.001)	Loss 2.2222 (2.1722)	Prec@1 41.406 (45.117)	Prec@5 78.125 (75.674)
Epoch: [54][10270/14090]	Time 0.722 (0.751)	Data 0.001 (0.001)	Loss 2.3248 (2.1722)	Prec@1 39.844 (45.114)	Prec@5 70.312 (75.673)
Epoch: [54][10280/14090]	Time 0.723 (0.751)	Data 0.002 (0.001)	Loss 2.0179 (2.1721)	Prec@1 45.312 (45.118)	Prec@5 76.562 (75.676)
Epoch: [54][10290/14090]	Time 0.768 (0.751)	Data 0.001 (0.001)	Loss 2.3690 (2.1722)	Prec@1 39.844 (45.117)	Prec@5 71.094 (75.674)
Epoch: [54][10300/14090]	Time 0.742 (0.751)	Data 0.001 (0.001)	Loss 2.2727 (2.1722)	Prec@1 43.750 (45.117)	Prec@5 75.781 (75.673)
Epoch: [54][10310/14090]	Time 0.761 (0.751)	Data 0.001 (0.001)	Loss 2.0849 (2.1721)	Prec@1 43.750 (45.121)	Prec@5 76.562 (75.674)
Epoch: [54][10320/14090]	Time 0.781 (0.751)	Data 0.001 (0.001)	Loss 2.1458 (2.1721)	Prec@1 41.406 (45.119)	Prec@5 78.125 (75.675)
Epoch: [54][10330/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 2.2345 (2.1721)	Prec@1 43.750 (45.118)	Prec@5 75.000 (75.675)
Epoch: [54][10340/14090]	Time 0.781 (0.751)	Data 0.001 (0.001)	Loss 2.4289 (2.1721)	Prec@1 40.625 (45.118)	Prec@5 71.875 (75.676)
Epoch: [54][10350/14090]	Time 0.725 (0.751)	Data 0.001 (0.001)	Loss 2.0966 (2.1720)	Prec@1 46.094 (45.119)	Prec@5 75.000 (75.677)
Epoch: [54][10360/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 2.0596 (2.1720)	Prec@1 46.094 (45.118)	Prec@5 82.812 (75.677)
Epoch: [54][10370/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 2.0014 (2.1720)	Prec@1 50.000 (45.118)	Prec@5 79.688 (75.677)
Epoch: [54][10380/14090]	Time 0.730 (0.751)	Data 0.001 (0.001)	Loss 2.1569 (2.1721)	Prec@1 51.562 (45.117)	Prec@5 80.469 (75.675)
Epoch: [54][10390/14090]	Time 0.760 (0.751)	Data 0.001 (0.001)	Loss 1.9779 (2.1721)	Prec@1 49.219 (45.118)	Prec@5 78.125 (75.674)
Epoch: [54][10400/14090]	Time 0.756 (0.751)	Data 0.002 (0.001)	Loss 2.3313 (2.1720)	Prec@1 45.312 (45.122)	Prec@5 72.656 (75.676)
Epoch: [54][10410/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 2.1572 (2.1719)	Prec@1 42.969 (45.125)	Prec@5 73.438 (75.676)
Epoch: [54][10420/14090]	Time 0.765 (0.751)	Data 0.001 (0.001)	Loss 2.2925 (2.1720)	Prec@1 38.281 (45.122)	Prec@5 72.656 (75.675)
Epoch: [54][10430/14090]	Time 0.760 (0.751)	Data 0.001 (0.001)	Loss 2.0968 (2.1720)	Prec@1 48.438 (45.120)	Prec@5 82.031 (75.675)
Epoch: [54][10440/14090]	Time 0.767 (0.751)	Data 0.001 (0.001)	Loss 2.1101 (2.1720)	Prec@1 49.219 (45.119)	Prec@5 78.125 (75.675)
Epoch: [54][10450/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 2.1874 (2.1719)	Prec@1 46.875 (45.120)	Prec@5 75.000 (75.677)
Epoch: [54][10460/14090]	Time 0.746 (0.751)	Data 0.003 (0.001)	Loss 2.1006 (2.1720)	Prec@1 44.531 (45.120)	Prec@5 75.000 (75.675)
Epoch: [54][10470/14090]	Time 0.760 (0.751)	Data 0.001 (0.001)	Loss 2.3656 (2.1720)	Prec@1 39.062 (45.120)	Prec@5 73.438 (75.674)
Epoch: [54][10480/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 2.5979 (2.1721)	Prec@1 37.500 (45.117)	Prec@5 66.406 (75.672)
Epoch: [54][10490/14090]	Time 0.727 (0.751)	Data 0.001 (0.001)	Loss 2.3937 (2.1722)	Prec@1 44.531 (45.117)	Prec@5 73.438 (75.671)
Epoch: [54][10500/14090]	Time 0.727 (0.751)	Data 0.001 (0.001)	Loss 2.2752 (2.1722)	Prec@1 41.406 (45.116)	Prec@5 71.094 (75.670)
Epoch: [54][10510/14090]	Time 0.778 (0.751)	Data 0.001 (0.001)	Loss 2.0893 (2.1722)	Prec@1 44.531 (45.115)	Prec@5 75.781 (75.672)
Epoch: [54][10520/14090]	Time 0.730 (0.751)	Data 0.001 (0.001)	Loss 2.2092 (2.1722)	Prec@1 46.094 (45.114)	Prec@5 73.438 (75.671)
Epoch: [54][10530/14090]	Time 0.743 (0.751)	Data 0.001 (0.001)	Loss 2.4306 (2.1722)	Prec@1 36.719 (45.112)	Prec@5 69.531 (75.671)
Epoch: [54][10540/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 1.8894 (2.1722)	Prec@1 50.781 (45.112)	Prec@5 82.031 (75.671)
Epoch: [54][10550/14090]	Time 0.740 (0.751)	Data 0.001 (0.001)	Loss 2.1668 (2.1723)	Prec@1 44.531 (45.110)	Prec@5 75.000 (75.671)
Epoch: [54][10560/14090]	Time 0.780 (0.751)	Data 0.001 (0.001)	Loss 2.2450 (2.1723)	Prec@1 39.062 (45.110)	Prec@5 75.000 (75.670)
Epoch: [54][10570/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 2.3457 (2.1723)	Prec@1 42.188 (45.111)	Prec@5 71.875 (75.670)
Epoch: [54][10580/14090]	Time 0.734 (0.751)	Data 0.001 (0.001)	Loss 2.1720 (2.1723)	Prec@1 44.531 (45.110)	Prec@5 75.000 (75.672)
Epoch: [54][10590/14090]	Time 0.811 (0.751)	Data 0.001 (0.001)	Loss 2.4722 (2.1723)	Prec@1 39.844 (45.110)	Prec@5 76.562 (75.671)
Epoch: [54][10600/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 2.1792 (2.1723)	Prec@1 43.750 (45.110)	Prec@5 76.562 (75.671)
Epoch: [54][10610/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.3377 (2.1723)	Prec@1 39.844 (45.112)	Prec@5 71.875 (75.671)
Epoch: [54][10620/14090]	Time 0.740 (0.751)	Data 0.001 (0.001)	Loss 2.1615 (2.1723)	Prec@1 50.000 (45.115)	Prec@5 75.781 (75.671)
Epoch: [54][10630/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 2.3127 (2.1723)	Prec@1 42.969 (45.115)	Prec@5 74.219 (75.670)
Epoch: [54][10640/14090]	Time 0.730 (0.751)	Data 0.001 (0.001)	Loss 2.1211 (2.1723)	Prec@1 50.781 (45.115)	Prec@5 73.438 (75.672)
Epoch: [54][10650/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 2.1066 (2.1723)	Prec@1 42.969 (45.115)	Prec@5 73.438 (75.671)
Epoch: [54][10660/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 2.1843 (2.1723)	Prec@1 43.750 (45.116)	Prec@5 75.781 (75.672)
Epoch: [54][10670/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 2.4244 (2.1722)	Prec@1 35.938 (45.116)	Prec@5 75.781 (75.673)
Epoch: [54][10680/14090]	Time 0.762 (0.751)	Data 0.002 (0.001)	Loss 2.2215 (2.1722)	Prec@1 46.094 (45.117)	Prec@5 76.562 (75.676)
Epoch: [54][10690/14090]	Time 0.783 (0.751)	Data 0.001 (0.001)	Loss 2.6240 (2.1722)	Prec@1 36.719 (45.118)	Prec@5 71.094 (75.675)
Epoch: [54][10700/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 2.5550 (2.1722)	Prec@1 39.844 (45.115)	Prec@5 64.844 (75.674)
Epoch: [54][10710/14090]	Time 0.759 (0.751)	Data 0.001 (0.001)	Loss 2.3290 (2.1722)	Prec@1 43.750 (45.116)	Prec@5 70.312 (75.676)
Epoch: [54][10720/14090]	Time 0.757 (0.751)	Data 0.001 (0.001)	Loss 2.0882 (2.1721)	Prec@1 45.312 (45.117)	Prec@5 78.125 (75.676)
Epoch: [54][10730/14090]	Time 0.761 (0.751)	Data 0.001 (0.001)	Loss 2.3081 (2.1721)	Prec@1 46.875 (45.119)	Prec@5 73.438 (75.678)
Epoch: [54][10740/14090]	Time 0.730 (0.751)	Data 0.001 (0.001)	Loss 2.4565 (2.1721)	Prec@1 39.844 (45.117)	Prec@5 64.062 (75.675)
Epoch: [54][10750/14090]	Time 0.782 (0.751)	Data 0.001 (0.001)	Loss 1.8945 (2.1720)	Prec@1 49.219 (45.118)	Prec@5 80.469 (75.679)
Epoch: [54][10760/14090]	Time 0.734 (0.751)	Data 0.001 (0.001)	Loss 2.1574 (2.1720)	Prec@1 44.531 (45.118)	Prec@5 78.125 (75.678)
Epoch: [54][10770/14090]	Time 0.783 (0.751)	Data 0.001 (0.001)	Loss 2.3829 (2.1721)	Prec@1 40.625 (45.117)	Prec@5 71.875 (75.676)
Epoch: [54][10780/14090]	Time 0.728 (0.751)	Data 0.001 (0.001)	Loss 2.1174 (2.1721)	Prec@1 40.625 (45.117)	Prec@5 75.000 (75.676)
Epoch: [54][10790/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 1.9743 (2.1721)	Prec@1 49.219 (45.118)	Prec@5 81.250 (75.677)
Epoch: [54][10800/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.6849 (2.1721)	Prec@1 34.375 (45.115)	Prec@5 63.281 (75.677)
Epoch: [54][10810/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 2.0858 (2.1721)	Prec@1 47.656 (45.114)	Prec@5 78.125 (75.676)
Epoch: [54][10820/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 2.2772 (2.1721)	Prec@1 40.625 (45.115)	Prec@5 75.000 (75.677)
Epoch: [54][10830/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 2.1710 (2.1720)	Prec@1 41.406 (45.117)	Prec@5 73.438 (75.679)
Epoch: [54][10840/14090]	Time 0.761 (0.751)	Data 0.001 (0.001)	Loss 2.0266 (2.1720)	Prec@1 48.438 (45.117)	Prec@5 78.125 (75.680)
Epoch: [54][10850/14090]	Time 0.765 (0.751)	Data 0.001 (0.001)	Loss 2.2830 (2.1720)	Prec@1 38.281 (45.118)	Prec@5 78.125 (75.681)
Epoch: [54][10860/14090]	Time 0.768 (0.751)	Data 0.001 (0.001)	Loss 2.1621 (2.1720)	Prec@1 46.094 (45.117)	Prec@5 73.438 (75.683)
Epoch: [54][10870/14090]	Time 0.750 (0.751)	Data 0.003 (0.001)	Loss 2.4323 (2.1720)	Prec@1 40.625 (45.116)	Prec@5 73.438 (75.683)
Epoch: [54][10880/14090]	Time 0.726 (0.751)	Data 0.002 (0.001)	Loss 2.3054 (2.1721)	Prec@1 46.094 (45.115)	Prec@5 75.000 (75.682)
Epoch: [54][10890/14090]	Time 0.770 (0.751)	Data 0.001 (0.001)	Loss 1.9975 (2.1721)	Prec@1 50.000 (45.117)	Prec@5 80.469 (75.682)
Epoch: [54][10900/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 2.3713 (2.1722)	Prec@1 46.875 (45.115)	Prec@5 72.656 (75.680)
Epoch: [54][10910/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 2.2246 (2.1722)	Prec@1 41.406 (45.114)	Prec@5 73.438 (75.680)
Epoch: [54][10920/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 2.1642 (2.1722)	Prec@1 46.094 (45.114)	Prec@5 74.219 (75.679)
Epoch: [54][10930/14090]	Time 0.772 (0.751)	Data 0.001 (0.001)	Loss 2.1617 (2.1723)	Prec@1 39.062 (45.112)	Prec@5 79.688 (75.678)
Epoch: [54][10940/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 2.0363 (2.1723)	Prec@1 46.094 (45.111)	Prec@5 77.344 (75.679)
Epoch: [54][10950/14090]	Time 0.761 (0.751)	Data 0.001 (0.001)	Loss 2.4966 (2.1724)	Prec@1 41.406 (45.110)	Prec@5 70.312 (75.678)
Epoch: [54][10960/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 2.2580 (2.1724)	Prec@1 43.750 (45.110)	Prec@5 77.344 (75.677)
Epoch: [54][10970/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 2.0861 (2.1723)	Prec@1 44.531 (45.110)	Prec@5 75.781 (75.679)
Epoch: [54][10980/14090]	Time 0.729 (0.751)	Data 0.001 (0.001)	Loss 2.2452 (2.1723)	Prec@1 41.406 (45.109)	Prec@5 75.000 (75.678)
Epoch: [54][10990/14090]	Time 0.762 (0.751)	Data 0.001 (0.001)	Loss 2.1352 (2.1722)	Prec@1 50.781 (45.112)	Prec@5 77.344 (75.679)
Epoch: [54][11000/14090]	Time 0.733 (0.751)	Data 0.001 (0.001)	Loss 2.2416 (2.1722)	Prec@1 46.094 (45.112)	Prec@5 75.781 (75.679)
Epoch: [54][11010/14090]	Time 0.722 (0.751)	Data 0.001 (0.001)	Loss 2.2244 (2.1723)	Prec@1 42.969 (45.110)	Prec@5 78.125 (75.678)
Epoch: [54][11020/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 2.1834 (2.1723)	Prec@1 43.750 (45.110)	Prec@5 75.781 (75.678)
Epoch: [54][11030/14090]	Time 0.739 (0.751)	Data 0.001 (0.001)	Loss 2.1322 (2.1723)	Prec@1 48.438 (45.108)	Prec@5 72.656 (75.677)
Epoch: [54][11040/14090]	Time 0.733 (0.751)	Data 0.001 (0.001)	Loss 2.3227 (2.1723)	Prec@1 41.406 (45.108)	Prec@5 74.219 (75.677)
Epoch: [54][11050/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 2.4000 (2.1724)	Prec@1 41.406 (45.107)	Prec@5 71.094 (75.675)
Epoch: [54][11060/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 2.3743 (2.1724)	Prec@1 40.625 (45.108)	Prec@5 73.438 (75.677)
Epoch: [54][11070/14090]	Time 0.734 (0.751)	Data 0.001 (0.001)	Loss 2.1059 (2.1723)	Prec@1 46.094 (45.110)	Prec@5 81.250 (75.679)
Epoch: [54][11080/14090]	Time 0.763 (0.751)	Data 0.001 (0.001)	Loss 2.2729 (2.1723)	Prec@1 42.969 (45.110)	Prec@5 66.406 (75.678)
Epoch: [54][11090/14090]	Time 0.757 (0.751)	Data 0.001 (0.001)	Loss 2.2276 (2.1724)	Prec@1 42.969 (45.110)	Prec@5 67.969 (75.676)
Epoch: [54][11100/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 1.9275 (2.1723)	Prec@1 53.125 (45.111)	Prec@5 82.031 (75.678)
Epoch: [54][11110/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 2.2953 (2.1723)	Prec@1 43.750 (45.111)	Prec@5 75.781 (75.677)
Epoch: [54][11120/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 2.1965 (2.1723)	Prec@1 43.750 (45.112)	Prec@5 75.000 (75.678)
Epoch: [54][11130/14090]	Time 0.769 (0.751)	Data 0.001 (0.001)	Loss 2.1444 (2.1722)	Prec@1 44.531 (45.111)	Prec@5 76.562 (75.679)
Epoch: [54][11140/14090]	Time 0.734 (0.751)	Data 0.001 (0.001)	Loss 2.3111 (2.1723)	Prec@1 40.625 (45.108)	Prec@5 76.562 (75.678)
Epoch: [54][11150/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 2.1883 (2.1723)	Prec@1 42.969 (45.108)	Prec@5 75.781 (75.679)
Epoch: [54][11160/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 2.3213 (2.1723)	Prec@1 40.625 (45.108)	Prec@5 71.875 (75.678)
Epoch: [54][11170/14090]	Time 0.766 (0.751)	Data 0.001 (0.001)	Loss 2.2242 (2.1724)	Prec@1 45.312 (45.107)	Prec@5 79.688 (75.677)
Epoch: [54][11180/14090]	Time 0.777 (0.751)	Data 0.001 (0.001)	Loss 2.1068 (2.1724)	Prec@1 50.781 (45.108)	Prec@5 73.438 (75.675)
Epoch: [54][11190/14090]	Time 0.727 (0.751)	Data 0.001 (0.001)	Loss 2.2323 (2.1725)	Prec@1 45.312 (45.108)	Prec@5 71.875 (75.673)
Epoch: [54][11200/14090]	Time 0.743 (0.751)	Data 0.001 (0.001)	Loss 2.0857 (2.1725)	Prec@1 48.438 (45.108)	Prec@5 78.906 (75.673)
Epoch: [54][11210/14090]	Time 0.762 (0.751)	Data 0.001 (0.001)	Loss 2.2327 (2.1725)	Prec@1 42.188 (45.108)	Prec@5 75.781 (75.673)
Epoch: [54][11220/14090]	Time 0.778 (0.751)	Data 0.001 (0.001)	Loss 2.2790 (2.1726)	Prec@1 42.969 (45.105)	Prec@5 77.344 (75.672)
Epoch: [54][11230/14090]	Time 0.743 (0.751)	Data 0.001 (0.001)	Loss 2.0073 (2.1725)	Prec@1 49.219 (45.107)	Prec@5 80.469 (75.674)
Epoch: [54][11240/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 2.2364 (2.1725)	Prec@1 40.625 (45.107)	Prec@5 74.219 (75.675)
Epoch: [54][11250/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 2.2270 (2.1726)	Prec@1 39.844 (45.105)	Prec@5 78.125 (75.674)
Epoch: [54][11260/14090]	Time 0.743 (0.751)	Data 0.001 (0.001)	Loss 2.4290 (2.1726)	Prec@1 35.938 (45.104)	Prec@5 71.094 (75.673)
Epoch: [54][11270/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.3554 (2.1727)	Prec@1 43.750 (45.104)	Prec@5 71.094 (75.673)
Epoch: [54][11280/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 2.1924 (2.1726)	Prec@1 46.094 (45.105)	Prec@5 73.438 (75.673)
Epoch: [54][11290/14090]	Time 0.724 (0.751)	Data 0.001 (0.001)	Loss 2.1180 (2.1726)	Prec@1 47.656 (45.108)	Prec@5 80.469 (75.673)
Epoch: [54][11300/14090]	Time 0.730 (0.751)	Data 0.001 (0.001)	Loss 2.1949 (2.1726)	Prec@1 49.219 (45.108)	Prec@5 73.438 (75.675)
Epoch: [54][11310/14090]	Time 0.735 (0.751)	Data 0.002 (0.001)	Loss 2.3858 (2.1726)	Prec@1 41.406 (45.110)	Prec@5 73.438 (75.675)
Epoch: [54][11320/14090]	Time 0.765 (0.751)	Data 0.001 (0.001)	Loss 2.0873 (2.1726)	Prec@1 46.094 (45.110)	Prec@5 78.125 (75.675)
Epoch: [54][11330/14090]	Time 0.729 (0.751)	Data 0.001 (0.001)	Loss 2.2580 (2.1727)	Prec@1 44.531 (45.109)	Prec@5 69.531 (75.673)
Epoch: [54][11340/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 1.9758 (2.1726)	Prec@1 47.656 (45.109)	Prec@5 80.469 (75.674)
Epoch: [54][11350/14090]	Time 0.737 (0.751)	Data 0.001 (0.001)	Loss 2.0976 (2.1727)	Prec@1 46.875 (45.107)	Prec@5 78.906 (75.673)
Epoch: [54][11360/14090]	Time 0.759 (0.751)	Data 0.001 (0.001)	Loss 2.0273 (2.1727)	Prec@1 46.875 (45.106)	Prec@5 82.031 (75.673)
Epoch: [54][11370/14090]	Time 0.760 (0.751)	Data 0.001 (0.001)	Loss 2.2884 (2.1727)	Prec@1 42.188 (45.106)	Prec@5 72.656 (75.673)
Epoch: [54][11380/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 2.0210 (2.1727)	Prec@1 45.312 (45.106)	Prec@5 82.812 (75.675)
Epoch: [54][11390/14090]	Time 0.741 (0.751)	Data 0.001 (0.001)	Loss 2.1969 (2.1726)	Prec@1 45.312 (45.107)	Prec@5 77.344 (75.676)
Epoch: [54][11400/14090]	Time 0.743 (0.751)	Data 0.001 (0.001)	Loss 2.0256 (2.1726)	Prec@1 48.438 (45.109)	Prec@5 78.125 (75.678)
Epoch: [54][11410/14090]	Time 0.734 (0.751)	Data 0.001 (0.001)	Loss 2.3245 (2.1726)	Prec@1 41.406 (45.107)	Prec@5 71.875 (75.677)
Epoch: [54][11420/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 2.2237 (2.1727)	Prec@1 42.969 (45.104)	Prec@5 72.656 (75.676)
Epoch: [54][11430/14090]	Time 0.722 (0.751)	Data 0.001 (0.001)	Loss 2.3718 (2.1727)	Prec@1 41.406 (45.104)	Prec@5 73.438 (75.676)
Epoch: [54][11440/14090]	Time 0.767 (0.751)	Data 0.001 (0.001)	Loss 2.1872 (2.1727)	Prec@1 44.531 (45.103)	Prec@5 75.000 (75.675)
Epoch: [54][11450/14090]	Time 0.772 (0.751)	Data 0.001 (0.001)	Loss 2.3642 (2.1727)	Prec@1 38.281 (45.103)	Prec@5 75.000 (75.675)
Epoch: [54][11460/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 2.1773 (2.1727)	Prec@1 41.406 (45.102)	Prec@5 74.219 (75.674)
Epoch: [54][11470/14090]	Time 0.764 (0.751)	Data 0.001 (0.001)	Loss 2.0898 (2.1728)	Prec@1 42.969 (45.101)	Prec@5 78.906 (75.674)
Epoch: [54][11480/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 1.9819 (2.1728)	Prec@1 44.531 (45.101)	Prec@5 78.125 (75.674)
Epoch: [54][11490/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 2.0154 (2.1728)	Prec@1 48.438 (45.100)	Prec@5 75.000 (75.673)
Epoch: [54][11500/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 1.8309 (2.1728)	Prec@1 43.750 (45.100)	Prec@5 86.719 (75.674)
Epoch: [54][11510/14090]	Time 0.728 (0.751)	Data 0.001 (0.001)	Loss 1.9054 (2.1728)	Prec@1 53.906 (45.100)	Prec@5 81.250 (75.672)
Epoch: [54][11520/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.6769 (2.1729)	Prec@1 33.594 (45.099)	Prec@5 67.188 (75.671)
Epoch: [54][11530/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 2.2228 (2.1729)	Prec@1 39.062 (45.097)	Prec@5 71.094 (75.670)
Epoch: [54][11540/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 2.1632 (2.1729)	Prec@1 44.531 (45.096)	Prec@5 73.438 (75.668)
Epoch: [54][11550/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 2.0176 (2.1729)	Prec@1 50.000 (45.097)	Prec@5 80.469 (75.668)
Epoch: [54][11560/14090]	Time 0.762 (0.751)	Data 0.001 (0.001)	Loss 2.3807 (2.1729)	Prec@1 41.406 (45.097)	Prec@5 74.219 (75.669)
Epoch: [54][11570/14090]	Time 0.731 (0.751)	Data 0.001 (0.001)	Loss 2.0586 (2.1729)	Prec@1 47.656 (45.096)	Prec@5 81.250 (75.668)
Epoch: [54][11580/14090]	Time 0.727 (0.751)	Data 0.001 (0.001)	Loss 2.4170 (2.1730)	Prec@1 37.500 (45.094)	Prec@5 71.094 (75.667)
Epoch: [54][11590/14090]	Time 0.764 (0.751)	Data 0.001 (0.001)	Loss 2.2701 (2.1730)	Prec@1 34.375 (45.093)	Prec@5 76.562 (75.667)
Epoch: [54][11600/14090]	Time 0.759 (0.751)	Data 0.001 (0.001)	Loss 2.1128 (2.1730)	Prec@1 47.656 (45.092)	Prec@5 75.781 (75.666)
Epoch: [54][11610/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 2.1091 (2.1730)	Prec@1 50.781 (45.093)	Prec@5 75.781 (75.667)
Epoch: [54][11620/14090]	Time 0.730 (0.751)	Data 0.001 (0.001)	Loss 1.9022 (2.1730)	Prec@1 50.000 (45.093)	Prec@5 79.688 (75.667)
Epoch: [54][11630/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 1.9300 (2.1730)	Prec@1 52.344 (45.093)	Prec@5 78.906 (75.667)
Epoch: [54][11640/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 2.2216 (2.1732)	Prec@1 48.438 (45.091)	Prec@5 76.562 (75.666)
Epoch: [54][11650/14090]	Time 0.770 (0.751)	Data 0.001 (0.001)	Loss 2.1040 (2.1731)	Prec@1 53.125 (45.093)	Prec@5 78.906 (75.668)
Epoch: [54][11660/14090]	Time 0.737 (0.751)	Data 0.001 (0.001)	Loss 2.0884 (2.1731)	Prec@1 46.094 (45.093)	Prec@5 78.906 (75.669)
Epoch: [54][11670/14090]	Time 0.740 (0.751)	Data 0.001 (0.001)	Loss 2.2009 (2.1731)	Prec@1 42.188 (45.093)	Prec@5 73.438 (75.670)
Epoch: [54][11680/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 2.2075 (2.1731)	Prec@1 44.531 (45.091)	Prec@5 71.094 (75.671)
Epoch: [54][11690/14090]	Time 0.739 (0.751)	Data 0.001 (0.001)	Loss 2.0989 (2.1730)	Prec@1 39.844 (45.093)	Prec@5 75.000 (75.672)
Epoch: [54][11700/14090]	Time 0.726 (0.750)	Data 0.001 (0.001)	Loss 2.4801 (2.1731)	Prec@1 34.375 (45.091)	Prec@5 67.969 (75.670)
Epoch: [54][11710/14090]	Time 0.736 (0.750)	Data 0.001 (0.001)	Loss 2.2724 (2.1732)	Prec@1 46.875 (45.090)	Prec@5 72.656 (75.668)
Epoch: [54][11720/14090]	Time 0.733 (0.750)	Data 0.001 (0.001)	Loss 2.3282 (2.1732)	Prec@1 44.531 (45.090)	Prec@5 72.656 (75.669)
Epoch: [54][11730/14090]	Time 0.751 (0.750)	Data 0.001 (0.001)	Loss 2.2940 (2.1732)	Prec@1 48.438 (45.090)	Prec@5 73.438 (75.668)
Epoch: [54][11740/14090]	Time 0.753 (0.750)	Data 0.001 (0.001)	Loss 2.1700 (2.1732)	Prec@1 41.406 (45.090)	Prec@5 76.562 (75.667)
Epoch: [54][11750/14090]	Time 0.749 (0.750)	Data 0.001 (0.001)	Loss 2.2912 (2.1732)	Prec@1 47.656 (45.092)	Prec@5 78.906 (75.667)
Epoch: [54][11760/14090]	Time 0.769 (0.750)	Data 0.001 (0.001)	Loss 2.1821 (2.1732)	Prec@1 45.312 (45.091)	Prec@5 72.656 (75.668)
Epoch: [54][11770/14090]	Time 0.741 (0.750)	Data 0.001 (0.001)	Loss 2.0251 (2.1732)	Prec@1 47.656 (45.090)	Prec@5 78.125 (75.667)
Epoch: [54][11780/14090]	Time 0.726 (0.750)	Data 0.001 (0.001)	Loss 2.1990 (2.1733)	Prec@1 45.312 (45.090)	Prec@5 75.781 (75.667)
Epoch: [54][11790/14090]	Time 0.751 (0.750)	Data 0.001 (0.001)	Loss 2.0932 (2.1733)	Prec@1 50.000 (45.089)	Prec@5 75.000 (75.668)
Epoch: [54][11800/14090]	Time 0.759 (0.750)	Data 0.001 (0.001)	Loss 1.9845 (2.1732)	Prec@1 43.750 (45.089)	Prec@5 81.250 (75.670)
Epoch: [54][11810/14090]	Time 0.758 (0.750)	Data 0.001 (0.001)	Loss 2.1141 (2.1733)	Prec@1 41.406 (45.089)	Prec@5 78.906 (75.669)
Epoch: [54][11820/14090]	Time 0.734 (0.750)	Data 0.001 (0.001)	Loss 2.2481 (2.1733)	Prec@1 42.188 (45.088)	Prec@5 72.656 (75.669)
Epoch: [54][11830/14090]	Time 0.748 (0.750)	Data 0.001 (0.001)	Loss 2.1392 (2.1733)	Prec@1 43.750 (45.087)	Prec@5 75.781 (75.668)
Epoch: [54][11840/14090]	Time 0.731 (0.750)	Data 0.001 (0.001)	Loss 2.4086 (2.1733)	Prec@1 43.750 (45.089)	Prec@5 71.875 (75.669)
Epoch: [54][11850/14090]	Time 0.742 (0.750)	Data 0.001 (0.001)	Loss 2.0595 (2.1733)	Prec@1 50.781 (45.089)	Prec@5 71.875 (75.669)
Epoch: [54][11860/14090]	Time 0.727 (0.750)	Data 0.001 (0.001)	Loss 2.0388 (2.1732)	Prec@1 46.875 (45.091)	Prec@5 73.438 (75.671)
Epoch: [54][11870/14090]	Time 0.752 (0.750)	Data 0.001 (0.001)	Loss 2.4364 (2.1733)	Prec@1 39.844 (45.090)	Prec@5 71.875 (75.670)
Epoch: [54][11880/14090]	Time 0.749 (0.750)	Data 0.001 (0.001)	Loss 1.8901 (2.1733)	Prec@1 53.125 (45.091)	Prec@5 80.469 (75.671)
Epoch: [54][11890/14090]	Time 0.726 (0.750)	Data 0.001 (0.001)	Loss 2.2003 (2.1733)	Prec@1 46.875 (45.091)	Prec@5 73.438 (75.670)
Epoch: [54][11900/14090]	Time 0.762 (0.750)	Data 0.001 (0.001)	Loss 1.9122 (2.1733)	Prec@1 48.438 (45.089)	Prec@5 78.906 (75.670)
Epoch: [54][11910/14090]	Time 0.744 (0.750)	Data 0.001 (0.001)	Loss 1.9389 (2.1733)	Prec@1 53.125 (45.089)	Prec@5 83.594 (75.671)
Epoch: [54][11920/14090]	Time 0.745 (0.750)	Data 0.001 (0.001)	Loss 2.0925 (2.1732)	Prec@1 51.562 (45.089)	Prec@5 75.781 (75.673)
Epoch: [54][11930/14090]	Time 0.788 (0.750)	Data 0.001 (0.001)	Loss 2.2734 (2.1732)	Prec@1 39.844 (45.088)	Prec@5 72.656 (75.673)
Epoch: [54][11940/14090]	Time 0.747 (0.750)	Data 0.001 (0.001)	Loss 2.1846 (2.1732)	Prec@1 43.750 (45.087)	Prec@5 78.125 (75.673)
Epoch: [54][11950/14090]	Time 0.765 (0.750)	Data 0.001 (0.001)	Loss 2.2785 (2.1732)	Prec@1 42.188 (45.089)	Prec@5 75.000 (75.673)
Epoch: [54][11960/14090]	Time 0.758 (0.750)	Data 0.001 (0.001)	Loss 2.2532 (2.1732)	Prec@1 42.188 (45.089)	Prec@5 71.094 (75.674)
Epoch: [54][11970/14090]	Time 0.772 (0.750)	Data 0.001 (0.001)	Loss 2.5302 (2.1731)	Prec@1 43.750 (45.091)	Prec@5 69.531 (75.673)
Epoch: [54][11980/14090]	Time 0.726 (0.750)	Data 0.001 (0.001)	Loss 2.1045 (2.1731)	Prec@1 48.438 (45.093)	Prec@5 79.688 (75.674)
Epoch: [54][11990/14090]	Time 0.735 (0.750)	Data 0.002 (0.001)	Loss 2.0308 (2.1731)	Prec@1 50.000 (45.092)	Prec@5 75.000 (75.673)
Epoch: [54][12000/14090]	Time 0.743 (0.750)	Data 0.001 (0.001)	Loss 2.1718 (2.1731)	Prec@1 43.750 (45.092)	Prec@5 78.125 (75.672)
Epoch: [54][12010/14090]	Time 0.734 (0.750)	Data 0.001 (0.001)	Loss 2.2332 (2.1732)	Prec@1 42.188 (45.091)	Prec@5 76.562 (75.672)
Epoch: [54][12020/14090]	Time 0.747 (0.750)	Data 0.001 (0.001)	Loss 2.1204 (2.1732)	Prec@1 51.562 (45.092)	Prec@5 77.344 (75.671)
Epoch: [54][12030/14090]	Time 0.735 (0.750)	Data 0.001 (0.001)	Loss 2.2569 (2.1733)	Prec@1 45.312 (45.091)	Prec@5 70.312 (75.670)
Epoch: [54][12040/14090]	Time 0.742 (0.750)	Data 0.001 (0.001)	Loss 2.3722 (2.1733)	Prec@1 44.531 (45.091)	Prec@5 72.656 (75.670)
Epoch: [54][12050/14090]	Time 0.734 (0.750)	Data 0.001 (0.001)	Loss 1.9923 (2.1733)	Prec@1 53.125 (45.091)	Prec@5 77.344 (75.670)
Epoch: [54][12060/14090]	Time 0.765 (0.750)	Data 0.001 (0.001)	Loss 1.9911 (2.1733)	Prec@1 46.875 (45.090)	Prec@5 77.344 (75.671)
Epoch: [54][12070/14090]	Time 0.736 (0.750)	Data 0.001 (0.001)	Loss 2.2574 (2.1733)	Prec@1 48.438 (45.091)	Prec@5 71.094 (75.671)
Epoch: [54][12080/14090]	Time 0.774 (0.750)	Data 0.001 (0.001)	Loss 1.7955 (2.1732)	Prec@1 52.344 (45.093)	Prec@5 84.375 (75.672)
Epoch: [54][12090/14090]	Time 0.757 (0.750)	Data 0.001 (0.001)	Loss 1.9440 (2.1733)	Prec@1 51.562 (45.091)	Prec@5 81.250 (75.670)
Epoch: [54][12100/14090]	Time 0.760 (0.750)	Data 0.001 (0.001)	Loss 2.2637 (2.1733)	Prec@1 45.312 (45.090)	Prec@5 76.562 (75.671)
Epoch: [54][12110/14090]	Time 0.725 (0.750)	Data 0.001 (0.001)	Loss 2.3687 (2.1734)	Prec@1 43.750 (45.087)	Prec@5 69.531 (75.670)
Epoch: [54][12120/14090]	Time 0.757 (0.750)	Data 0.001 (0.001)	Loss 2.2736 (2.1734)	Prec@1 43.750 (45.086)	Prec@5 75.000 (75.670)
Epoch: [54][12130/14090]	Time 0.731 (0.750)	Data 0.003 (0.001)	Loss 2.2624 (2.1735)	Prec@1 41.406 (45.084)	Prec@5 71.094 (75.668)
Epoch: [54][12140/14090]	Time 0.737 (0.750)	Data 0.001 (0.001)	Loss 2.2130 (2.1735)	Prec@1 39.062 (45.084)	Prec@5 76.562 (75.669)
Epoch: [54][12150/14090]	Time 0.748 (0.750)	Data 0.001 (0.001)	Loss 2.2472 (2.1735)	Prec@1 42.188 (45.085)	Prec@5 75.000 (75.670)
Epoch: [54][12160/14090]	Time 0.725 (0.750)	Data 0.001 (0.001)	Loss 2.0638 (2.1734)	Prec@1 46.875 (45.085)	Prec@5 79.688 (75.670)
Epoch: [54][12170/14090]	Time 0.758 (0.750)	Data 0.001 (0.001)	Loss 2.1111 (2.1734)	Prec@1 45.312 (45.086)	Prec@5 76.562 (75.670)
Epoch: [54][12180/14090]	Time 0.735 (0.750)	Data 0.001 (0.001)	Loss 2.0593 (2.1734)	Prec@1 50.000 (45.087)	Prec@5 76.562 (75.670)
Epoch: [54][12190/14090]	Time 0.753 (0.750)	Data 0.001 (0.001)	Loss 1.9361 (2.1734)	Prec@1 49.219 (45.087)	Prec@5 78.125 (75.669)
Epoch: [54][12200/14090]	Time 0.746 (0.750)	Data 0.001 (0.001)	Loss 2.2375 (2.1735)	Prec@1 37.500 (45.085)	Prec@5 76.562 (75.668)
Epoch: [54][12210/14090]	Time 0.746 (0.750)	Data 0.001 (0.001)	Loss 1.9415 (2.1735)	Prec@1 45.312 (45.084)	Prec@5 85.156 (75.669)
Epoch: [54][12220/14090]	Time 0.746 (0.750)	Data 0.001 (0.001)	Loss 1.9829 (2.1735)	Prec@1 47.656 (45.085)	Prec@5 76.562 (75.669)
Epoch: [54][12230/14090]	Time 0.760 (0.750)	Data 0.001 (0.001)	Loss 2.1554 (2.1735)	Prec@1 44.531 (45.085)	Prec@5 75.781 (75.669)
Epoch: [54][12240/14090]	Time 0.732 (0.750)	Data 0.001 (0.001)	Loss 2.2439 (2.1735)	Prec@1 48.438 (45.085)	Prec@5 75.000 (75.670)
Epoch: [54][12250/14090]	Time 0.728 (0.750)	Data 0.001 (0.001)	Loss 1.9320 (2.1735)	Prec@1 55.469 (45.086)	Prec@5 81.250 (75.670)
Epoch: [54][12260/14090]	Time 0.750 (0.750)	Data 0.001 (0.001)	Loss 2.3584 (2.1735)	Prec@1 41.406 (45.085)	Prec@5 71.094 (75.670)
Epoch: [54][12270/14090]	Time 0.769 (0.750)	Data 0.001 (0.001)	Loss 2.2748 (2.1735)	Prec@1 40.625 (45.084)	Prec@5 69.531 (75.670)
Epoch: [54][12280/14090]	Time 0.753 (0.750)	Data 0.001 (0.001)	Loss 2.1779 (2.1736)	Prec@1 45.312 (45.083)	Prec@5 71.094 (75.668)
Epoch: [54][12290/14090]	Time 0.762 (0.750)	Data 0.001 (0.001)	Loss 2.2563 (2.1736)	Prec@1 44.531 (45.083)	Prec@5 74.219 (75.669)
Epoch: [54][12300/14090]	Time 0.757 (0.750)	Data 0.001 (0.001)	Loss 2.1813 (2.1735)	Prec@1 42.188 (45.083)	Prec@5 77.344 (75.670)
Epoch: [54][12310/14090]	Time 0.757 (0.750)	Data 0.001 (0.001)	Loss 2.2754 (2.1736)	Prec@1 44.531 (45.082)	Prec@5 71.094 (75.669)
Epoch: [54][12320/14090]	Time 0.753 (0.750)	Data 0.001 (0.001)	Loss 2.2593 (2.1736)	Prec@1 46.875 (45.081)	Prec@5 72.656 (75.668)
Epoch: [54][12330/14090]	Time 0.767 (0.750)	Data 0.001 (0.001)	Loss 2.3732 (2.1737)	Prec@1 41.406 (45.080)	Prec@5 68.750 (75.667)
Epoch: [54][12340/14090]	Time 0.734 (0.750)	Data 0.001 (0.001)	Loss 2.2843 (2.1737)	Prec@1 41.406 (45.080)	Prec@5 76.562 (75.667)
Epoch: [54][12350/14090]	Time 0.757 (0.750)	Data 0.001 (0.001)	Loss 2.1217 (2.1737)	Prec@1 46.875 (45.078)	Prec@5 78.906 (75.665)
Epoch: [54][12360/14090]	Time 0.737 (0.750)	Data 0.001 (0.001)	Loss 2.1251 (2.1737)	Prec@1 49.219 (45.079)	Prec@5 78.125 (75.664)
Epoch: [54][12370/14090]	Time 0.741 (0.750)	Data 0.001 (0.001)	Loss 2.2491 (2.1738)	Prec@1 47.656 (45.080)	Prec@5 70.312 (75.664)
Epoch: [54][12380/14090]	Time 0.736 (0.750)	Data 0.001 (0.001)	Loss 2.1026 (2.1738)	Prec@1 51.562 (45.081)	Prec@5 78.125 (75.663)
Epoch: [54][12390/14090]	Time 0.734 (0.750)	Data 0.001 (0.001)	Loss 2.3181 (2.1738)	Prec@1 44.531 (45.080)	Prec@5 71.094 (75.662)
Epoch: [54][12400/14090]	Time 0.755 (0.750)	Data 0.001 (0.001)	Loss 2.2330 (2.1738)	Prec@1 44.531 (45.080)	Prec@5 76.562 (75.661)
Epoch: [54][12410/14090]	Time 0.757 (0.750)	Data 0.001 (0.001)	Loss 2.1432 (2.1738)	Prec@1 40.625 (45.081)	Prec@5 76.562 (75.661)
Epoch: [54][12420/14090]	Time 0.739 (0.750)	Data 0.001 (0.001)	Loss 2.3700 (2.1738)	Prec@1 50.781 (45.081)	Prec@5 71.875 (75.660)
Epoch: [54][12430/14090]	Time 0.733 (0.750)	Data 0.001 (0.001)	Loss 2.3713 (2.1738)	Prec@1 47.656 (45.082)	Prec@5 75.000 (75.660)
Epoch: [54][12440/14090]	Time 0.727 (0.750)	Data 0.001 (0.001)	Loss 2.2579 (2.1739)	Prec@1 48.438 (45.082)	Prec@5 73.438 (75.658)
Epoch: [54][12450/14090]	Time 0.743 (0.750)	Data 0.001 (0.001)	Loss 2.4026 (2.1739)	Prec@1 44.531 (45.081)	Prec@5 72.656 (75.658)
Epoch: [54][12460/14090]	Time 0.742 (0.750)	Data 0.001 (0.001)	Loss 2.2634 (2.1739)	Prec@1 50.000 (45.081)	Prec@5 75.781 (75.658)
Epoch: [54][12470/14090]	Time 0.752 (0.750)	Data 0.001 (0.001)	Loss 2.2690 (2.1739)	Prec@1 41.406 (45.081)	Prec@5 75.000 (75.659)
Epoch: [54][12480/14090]	Time 0.733 (0.750)	Data 0.001 (0.001)	Loss 2.1418 (2.1739)	Prec@1 46.875 (45.080)	Prec@5 81.250 (75.659)
Epoch: [54][12490/14090]	Time 0.756 (0.750)	Data 0.001 (0.001)	Loss 1.9180 (2.1740)	Prec@1 44.531 (45.079)	Prec@5 82.812 (75.658)
Epoch: [54][12500/14090]	Time 0.720 (0.750)	Data 0.001 (0.001)	Loss 2.1194 (2.1740)	Prec@1 39.844 (45.078)	Prec@5 77.344 (75.658)
Epoch: [54][12510/14090]	Time 0.741 (0.750)	Data 0.001 (0.001)	Loss 2.0056 (2.1740)	Prec@1 50.781 (45.077)	Prec@5 75.781 (75.659)
Epoch: [54][12520/14090]	Time 0.736 (0.750)	Data 0.001 (0.001)	Loss 2.0513 (2.1740)	Prec@1 47.656 (45.076)	Prec@5 78.906 (75.659)
Epoch: [54][12530/14090]	Time 0.738 (0.750)	Data 0.001 (0.001)	Loss 2.2634 (2.1740)	Prec@1 37.500 (45.076)	Prec@5 72.656 (75.660)
Epoch: [54][12540/14090]	Time 0.758 (0.750)	Data 0.001 (0.001)	Loss 2.0919 (2.1740)	Prec@1 48.438 (45.076)	Prec@5 76.562 (75.660)
Epoch: [54][12550/14090]	Time 0.753 (0.750)	Data 0.001 (0.001)	Loss 2.4181 (2.1740)	Prec@1 35.156 (45.073)	Prec@5 68.750 (75.659)
Epoch: [54][12560/14090]	Time 0.755 (0.750)	Data 0.001 (0.001)	Loss 2.1449 (2.1741)	Prec@1 49.219 (45.073)	Prec@5 75.000 (75.658)
Epoch: [54][12570/14090]	Time 0.756 (0.750)	Data 0.001 (0.001)	Loss 2.0091 (2.1742)	Prec@1 42.188 (45.071)	Prec@5 81.250 (75.657)
Epoch: [54][12580/14090]	Time 0.742 (0.750)	Data 0.002 (0.001)	Loss 2.2314 (2.1741)	Prec@1 40.625 (45.071)	Prec@5 73.438 (75.658)
Epoch: [54][12590/14090]	Time 0.754 (0.750)	Data 0.001 (0.001)	Loss 2.4052 (2.1742)	Prec@1 41.406 (45.069)	Prec@5 69.531 (75.657)
Epoch: [54][12600/14090]	Time 0.744 (0.750)	Data 0.001 (0.001)	Loss 2.4050 (2.1741)	Prec@1 42.188 (45.069)	Prec@5 70.312 (75.658)
Epoch: [54][12610/14090]	Time 0.775 (0.750)	Data 0.001 (0.001)	Loss 2.2316 (2.1741)	Prec@1 45.312 (45.070)	Prec@5 76.562 (75.659)
Epoch: [54][12620/14090]	Time 0.740 (0.750)	Data 0.001 (0.001)	Loss 2.3276 (2.1740)	Prec@1 43.750 (45.073)	Prec@5 74.219 (75.661)
Epoch: [54][12630/14090]	Time 0.741 (0.750)	Data 0.001 (0.001)	Loss 2.0757 (2.1740)	Prec@1 46.875 (45.072)	Prec@5 75.000 (75.662)
Epoch: [54][12640/14090]	Time 0.774 (0.750)	Data 0.001 (0.001)	Loss 2.2146 (2.1740)	Prec@1 46.094 (45.073)	Prec@5 75.000 (75.662)
Epoch: [54][12650/14090]	Time 0.739 (0.750)	Data 0.001 (0.001)	Loss 2.2479 (2.1740)	Prec@1 45.312 (45.072)	Prec@5 74.219 (75.661)
Epoch: [54][12660/14090]	Time 0.734 (0.750)	Data 0.001 (0.001)	Loss 2.1441 (2.1740)	Prec@1 42.969 (45.073)	Prec@5 75.781 (75.662)
Epoch: [54][12670/14090]	Time 0.741 (0.750)	Data 0.001 (0.001)	Loss 2.3763 (2.1740)	Prec@1 41.406 (45.072)	Prec@5 71.094 (75.661)
Epoch: [54][12680/14090]	Time 0.770 (0.750)	Data 0.002 (0.001)	Loss 2.0774 (2.1740)	Prec@1 47.656 (45.072)	Prec@5 75.000 (75.659)
Epoch: [54][12690/14090]	Time 0.734 (0.750)	Data 0.001 (0.001)	Loss 1.9767 (2.1740)	Prec@1 46.875 (45.073)	Prec@5 81.250 (75.660)
Epoch: [54][12700/14090]	Time 0.757 (0.750)	Data 0.001 (0.001)	Loss 2.2804 (2.1740)	Prec@1 39.844 (45.071)	Prec@5 73.438 (75.660)
Epoch: [54][12710/14090]	Time 0.762 (0.750)	Data 0.001 (0.001)	Loss 1.9822 (2.1739)	Prec@1 54.688 (45.073)	Prec@5 76.562 (75.661)
Epoch: [54][12720/14090]	Time 0.751 (0.750)	Data 0.001 (0.001)	Loss 2.3692 (2.1740)	Prec@1 36.719 (45.072)	Prec@5 75.000 (75.660)
Epoch: [54][12730/14090]	Time 0.769 (0.750)	Data 0.001 (0.001)	Loss 2.2106 (2.1740)	Prec@1 47.656 (45.072)	Prec@5 78.125 (75.659)
Epoch: [54][12740/14090]	Time 0.733 (0.750)	Data 0.001 (0.001)	Loss 2.1566 (2.1740)	Prec@1 42.188 (45.071)	Prec@5 80.469 (75.659)
Epoch: [54][12750/14090]	Time 0.735 (0.750)	Data 0.001 (0.001)	Loss 2.0515 (2.1740)	Prec@1 46.094 (45.072)	Prec@5 76.562 (75.658)
Epoch: [54][12760/14090]	Time 0.759 (0.750)	Data 0.001 (0.001)	Loss 2.1974 (2.1740)	Prec@1 43.750 (45.071)	Prec@5 71.875 (75.658)
Epoch: [54][12770/14090]	Time 0.735 (0.750)	Data 0.001 (0.001)	Loss 2.2734 (2.1740)	Prec@1 45.312 (45.071)	Prec@5 70.312 (75.657)
Epoch: [54][12780/14090]	Time 0.734 (0.750)	Data 0.001 (0.001)	Loss 2.5083 (2.1741)	Prec@1 42.969 (45.070)	Prec@5 71.875 (75.657)
Epoch: [54][12790/14090]	Time 0.762 (0.750)	Data 0.001 (0.001)	Loss 2.2842 (2.1741)	Prec@1 37.500 (45.069)	Prec@5 73.438 (75.657)
Epoch: [54][12800/14090]	Time 0.754 (0.750)	Data 0.002 (0.001)	Loss 2.2250 (2.1741)	Prec@1 48.438 (45.068)	Prec@5 73.438 (75.657)
Epoch: [54][12810/14090]	Time 0.749 (0.750)	Data 0.001 (0.001)	Loss 2.2843 (2.1742)	Prec@1 44.531 (45.066)	Prec@5 73.438 (75.656)
Epoch: [54][12820/14090]	Time 0.727 (0.750)	Data 0.001 (0.001)	Loss 2.0702 (2.1741)	Prec@1 46.094 (45.067)	Prec@5 78.906 (75.656)
Epoch: [54][12830/14090]	Time 0.769 (0.750)	Data 0.001 (0.001)	Loss 2.2233 (2.1741)	Prec@1 43.750 (45.067)	Prec@5 73.438 (75.657)
Epoch: [54][12840/14090]	Time 0.751 (0.750)	Data 0.001 (0.001)	Loss 1.8472 (2.1741)	Prec@1 54.688 (45.067)	Prec@5 75.781 (75.655)
Epoch: [54][12850/14090]	Time 0.761 (0.750)	Data 0.002 (0.001)	Loss 2.0677 (2.1742)	Prec@1 48.438 (45.065)	Prec@5 75.781 (75.654)
Epoch: [54][12860/14090]	Time 0.757 (0.750)	Data 0.001 (0.001)	Loss 2.1837 (2.1742)	Prec@1 44.531 (45.063)	Prec@5 75.000 (75.654)
Epoch: [54][12870/14090]	Time 0.728 (0.750)	Data 0.001 (0.001)	Loss 1.9805 (2.1742)	Prec@1 51.562 (45.063)	Prec@5 80.469 (75.655)
Epoch: [54][12880/14090]	Time 0.755 (0.750)	Data 0.002 (0.001)	Loss 2.1480 (2.1742)	Prec@1 42.969 (45.063)	Prec@5 78.125 (75.656)
Epoch: [54][12890/14090]	Time 0.737 (0.750)	Data 0.001 (0.001)	Loss 2.1555 (2.1742)	Prec@1 42.969 (45.064)	Prec@5 75.000 (75.656)
Epoch: [54][12900/14090]	Time 0.728 (0.750)	Data 0.001 (0.001)	Loss 2.2262 (2.1741)	Prec@1 39.062 (45.064)	Prec@5 73.438 (75.656)
Epoch: [54][12910/14090]	Time 0.753 (0.750)	Data 0.001 (0.001)	Loss 2.3348 (2.1742)	Prec@1 44.531 (45.064)	Prec@5 73.438 (75.656)
Epoch: [54][12920/14090]	Time 0.752 (0.750)	Data 0.001 (0.001)	Loss 2.0530 (2.1742)	Prec@1 43.750 (45.064)	Prec@5 79.688 (75.655)
Epoch: [54][12930/14090]	Time 0.770 (0.750)	Data 0.001 (0.001)	Loss 1.8707 (2.1742)	Prec@1 49.219 (45.065)	Prec@5 78.906 (75.655)
Epoch: [54][12940/14090]	Time 0.780 (0.750)	Data 0.001 (0.001)	Loss 2.0776 (2.1742)	Prec@1 46.094 (45.064)	Prec@5 76.562 (75.655)
Epoch: [54][12950/14090]	Time 0.765 (0.750)	Data 0.001 (0.001)	Loss 2.1988 (2.1742)	Prec@1 48.438 (45.063)	Prec@5 70.312 (75.655)
Epoch: [54][12960/14090]	Time 0.747 (0.750)	Data 0.001 (0.001)	Loss 2.0223 (2.1742)	Prec@1 46.875 (45.064)	Prec@5 76.562 (75.654)
Epoch: [54][12970/14090]	Time 0.717 (0.750)	Data 0.001 (0.001)	Loss 2.2161 (2.1742)	Prec@1 47.656 (45.064)	Prec@5 78.125 (75.654)
Epoch: [54][12980/14090]	Time 0.739 (0.750)	Data 0.001 (0.001)	Loss 2.3642 (2.1742)	Prec@1 43.750 (45.062)	Prec@5 75.781 (75.653)
Epoch: [54][12990/14090]	Time 0.735 (0.750)	Data 0.002 (0.001)	Loss 2.0036 (2.1742)	Prec@1 46.094 (45.063)	Prec@5 75.781 (75.654)
Epoch: [54][13000/14090]	Time 0.739 (0.750)	Data 0.001 (0.001)	Loss 1.9924 (2.1742)	Prec@1 45.312 (45.063)	Prec@5 80.469 (75.653)
Epoch: [54][13010/14090]	Time 0.779 (0.750)	Data 0.001 (0.001)	Loss 2.0055 (2.1741)	Prec@1 43.750 (45.063)	Prec@5 81.250 (75.655)
Epoch: [54][13020/14090]	Time 0.739 (0.750)	Data 0.001 (0.001)	Loss 2.0567 (2.1741)	Prec@1 46.094 (45.064)	Prec@5 75.000 (75.654)
Epoch: [54][13030/14090]	Time 0.746 (0.750)	Data 0.001 (0.001)	Loss 2.3721 (2.1740)	Prec@1 46.094 (45.065)	Prec@5 70.312 (75.655)
Epoch: [54][13040/14090]	Time 0.753 (0.750)	Data 0.001 (0.001)	Loss 2.1226 (2.1741)	Prec@1 47.656 (45.065)	Prec@5 77.344 (75.654)
Epoch: [54][13050/14090]	Time 0.775 (0.750)	Data 0.001 (0.001)	Loss 2.1044 (2.1741)	Prec@1 45.312 (45.064)	Prec@5 77.344 (75.653)
Epoch: [54][13060/14090]	Time 0.737 (0.750)	Data 0.001 (0.001)	Loss 1.9877 (2.1741)	Prec@1 43.750 (45.063)	Prec@5 78.125 (75.652)
Epoch: [54][13070/14090]	Time 0.739 (0.750)	Data 0.001 (0.001)	Loss 2.1141 (2.1741)	Prec@1 44.531 (45.063)	Prec@5 75.000 (75.652)
Epoch: [54][13080/14090]	Time 0.758 (0.750)	Data 0.001 (0.001)	Loss 2.1655 (2.1742)	Prec@1 45.312 (45.063)	Prec@5 74.219 (75.651)
Epoch: [54][13090/14090]	Time 0.791 (0.750)	Data 0.001 (0.001)	Loss 2.1670 (2.1742)	Prec@1 47.656 (45.064)	Prec@5 74.219 (75.650)
Epoch: [54][13100/14090]	Time 0.776 (0.750)	Data 0.001 (0.001)	Loss 2.4578 (2.1743)	Prec@1 43.750 (45.063)	Prec@5 71.094 (75.648)
Epoch: [54][13110/14090]	Time 0.733 (0.750)	Data 0.001 (0.001)	Loss 2.1118 (2.1743)	Prec@1 50.000 (45.061)	Prec@5 74.219 (75.646)
Epoch: [54][13120/14090]	Time 0.753 (0.750)	Data 0.001 (0.001)	Loss 1.9448 (2.1743)	Prec@1 46.875 (45.061)	Prec@5 81.250 (75.647)
Epoch: [54][13130/14090]	Time 0.762 (0.750)	Data 0.001 (0.001)	Loss 2.4024 (2.1743)	Prec@1 42.188 (45.061)	Prec@5 71.875 (75.646)
Epoch: [54][13140/14090]	Time 0.750 (0.750)	Data 0.001 (0.001)	Loss 1.8500 (2.1743)	Prec@1 51.562 (45.062)	Prec@5 80.469 (75.645)
Epoch: [54][13150/14090]	Time 0.778 (0.750)	Data 0.001 (0.001)	Loss 2.0545 (2.1743)	Prec@1 46.875 (45.062)	Prec@5 79.688 (75.645)
Epoch: [54][13160/14090]	Time 0.742 (0.750)	Data 0.001 (0.001)	Loss 2.0194 (2.1743)	Prec@1 48.438 (45.063)	Prec@5 76.562 (75.645)
Epoch: [54][13170/14090]	Time 0.748 (0.750)	Data 0.001 (0.001)	Loss 1.8677 (2.1743)	Prec@1 52.344 (45.064)	Prec@5 77.344 (75.645)
Epoch: [54][13180/14090]	Time 0.749 (0.750)	Data 0.001 (0.001)	Loss 2.1640 (2.1743)	Prec@1 46.094 (45.063)	Prec@5 73.438 (75.643)
Epoch: [54][13190/14090]	Time 0.738 (0.750)	Data 0.001 (0.001)	Loss 2.4045 (2.1744)	Prec@1 40.625 (45.063)	Prec@5 71.094 (75.643)
Epoch: [54][13200/14090]	Time 0.741 (0.750)	Data 0.001 (0.001)	Loss 2.1441 (2.1744)	Prec@1 43.750 (45.064)	Prec@5 79.688 (75.644)
Epoch: [54][13210/14090]	Time 0.742 (0.750)	Data 0.001 (0.001)	Loss 2.1685 (2.1744)	Prec@1 48.438 (45.064)	Prec@5 79.688 (75.644)
Epoch: [54][13220/14090]	Time 0.760 (0.750)	Data 0.001 (0.001)	Loss 2.2549 (2.1744)	Prec@1 36.719 (45.063)	Prec@5 79.688 (75.645)
Epoch: [54][13230/14090]	Time 0.739 (0.750)	Data 0.001 (0.001)	Loss 1.9194 (2.1744)	Prec@1 50.781 (45.065)	Prec@5 79.688 (75.645)
Epoch: [54][13240/14090]	Time 0.735 (0.750)	Data 0.001 (0.001)	Loss 1.9807 (2.1744)	Prec@1 50.781 (45.066)	Prec@5 76.562 (75.644)
Epoch: [54][13250/14090]	Time 0.751 (0.750)	Data 0.001 (0.001)	Loss 2.1153 (2.1744)	Prec@1 44.531 (45.066)	Prec@5 78.906 (75.645)
Epoch: [54][13260/14090]	Time 0.732 (0.750)	Data 0.001 (0.001)	Loss 2.1931 (2.1744)	Prec@1 46.094 (45.066)	Prec@5 75.781 (75.643)
Epoch: [54][13270/14090]	Time 0.735 (0.750)	Data 0.001 (0.001)	Loss 2.0881 (2.1744)	Prec@1 42.969 (45.065)	Prec@5 81.250 (75.643)
Epoch: [54][13280/14090]	Time 0.734 (0.750)	Data 0.001 (0.001)	Loss 2.0674 (2.1744)	Prec@1 47.656 (45.065)	Prec@5 78.906 (75.643)
Epoch: [54][13290/14090]	Time 0.744 (0.750)	Data 0.001 (0.001)	Loss 2.2608 (2.1744)	Prec@1 42.188 (45.064)	Prec@5 76.562 (75.642)
Epoch: [54][13300/14090]	Time 0.729 (0.750)	Data 0.001 (0.001)	Loss 2.4183 (2.1743)	Prec@1 41.406 (45.066)	Prec@5 70.312 (75.643)
Epoch: [54][13310/14090]	Time 0.771 (0.750)	Data 0.001 (0.001)	Loss 1.8259 (2.1744)	Prec@1 53.125 (45.065)	Prec@5 78.906 (75.642)
Epoch: [54][13320/14090]	Time 0.738 (0.750)	Data 0.001 (0.001)	Loss 2.3539 (2.1744)	Prec@1 38.281 (45.066)	Prec@5 71.875 (75.643)
Epoch: [54][13330/14090]	Time 0.759 (0.750)	Data 0.001 (0.001)	Loss 2.4561 (2.1744)	Prec@1 41.406 (45.066)	Prec@5 70.312 (75.643)
Epoch: [54][13340/14090]	Time 0.731 (0.750)	Data 0.001 (0.001)	Loss 1.9331 (2.1744)	Prec@1 50.000 (45.066)	Prec@5 75.000 (75.643)
Epoch: [54][13350/14090]	Time 0.779 (0.750)	Data 0.001 (0.001)	Loss 2.2378 (2.1744)	Prec@1 42.188 (45.067)	Prec@5 71.875 (75.644)
Epoch: [54][13360/14090]	Time 0.741 (0.750)	Data 0.001 (0.001)	Loss 2.0247 (2.1743)	Prec@1 48.438 (45.068)	Prec@5 83.594 (75.644)
Epoch: [54][13370/14090]	Time 0.737 (0.750)	Data 0.001 (0.001)	Loss 2.0928 (2.1743)	Prec@1 45.312 (45.069)	Prec@5 73.438 (75.644)
Epoch: [54][13380/14090]	Time 0.769 (0.750)	Data 0.001 (0.001)	Loss 2.4151 (2.1744)	Prec@1 43.750 (45.068)	Prec@5 67.969 (75.643)
Epoch: [54][13390/14090]	Time 0.871 (0.750)	Data 0.001 (0.001)	Loss 2.1149 (2.1744)	Prec@1 46.875 (45.067)	Prec@5 81.250 (75.644)
Epoch: [54][13400/14090]	Time 0.757 (0.750)	Data 0.003 (0.001)	Loss 2.3829 (2.1744)	Prec@1 43.750 (45.065)	Prec@5 70.312 (75.643)
Epoch: [54][13410/14090]	Time 0.753 (0.750)	Data 0.001 (0.001)	Loss 2.2232 (2.1744)	Prec@1 43.750 (45.065)	Prec@5 75.781 (75.642)
Epoch: [54][13420/14090]	Time 0.736 (0.750)	Data 0.001 (0.001)	Loss 2.2083 (2.1744)	Prec@1 44.531 (45.064)	Prec@5 75.781 (75.643)
Epoch: [54][13430/14090]	Time 0.755 (0.750)	Data 0.001 (0.001)	Loss 2.0951 (2.1744)	Prec@1 46.094 (45.065)	Prec@5 78.125 (75.643)
Epoch: [54][13440/14090]	Time 0.757 (0.750)	Data 0.001 (0.001)	Loss 2.1430 (2.1744)	Prec@1 47.656 (45.066)	Prec@5 75.781 (75.644)
Epoch: [54][13450/14090]	Time 0.728 (0.750)	Data 0.001 (0.001)	Loss 2.0558 (2.1743)	Prec@1 43.750 (45.066)	Prec@5 79.688 (75.645)
Epoch: [54][13460/14090]	Time 0.728 (0.750)	Data 0.001 (0.001)	Loss 2.2830 (2.1744)	Prec@1 42.188 (45.064)	Prec@5 76.562 (75.644)
Epoch: [54][13470/14090]	Time 0.780 (0.750)	Data 0.001 (0.001)	Loss 2.1084 (2.1745)	Prec@1 44.531 (45.063)	Prec@5 78.906 (75.644)
Epoch: [54][13480/14090]	Time 0.723 (0.750)	Data 0.001 (0.001)	Loss 2.2324 (2.1745)	Prec@1 50.781 (45.063)	Prec@5 76.562 (75.644)
Epoch: [54][13490/14090]	Time 0.740 (0.750)	Data 0.001 (0.001)	Loss 2.2591 (2.1745)	Prec@1 45.312 (45.063)	Prec@5 76.562 (75.643)
Epoch: [54][13500/14090]	Time 0.773 (0.750)	Data 0.001 (0.001)	Loss 1.9626 (2.1745)	Prec@1 48.438 (45.063)	Prec@5 80.469 (75.642)
Epoch: [54][13510/14090]	Time 0.756 (0.750)	Data 0.001 (0.001)	Loss 2.0127 (2.1745)	Prec@1 43.750 (45.063)	Prec@5 82.031 (75.643)
Epoch: [54][13520/14090]	Time 0.757 (0.750)	Data 0.001 (0.001)	Loss 2.1684 (2.1745)	Prec@1 42.969 (45.063)	Prec@5 76.562 (75.643)
Epoch: [54][13530/14090]	Time 0.753 (0.750)	Data 0.001 (0.001)	Loss 1.9917 (2.1745)	Prec@1 52.344 (45.062)	Prec@5 78.906 (75.643)
Epoch: [54][13540/14090]	Time 0.733 (0.750)	Data 0.001 (0.001)	Loss 2.1681 (2.1745)	Prec@1 40.625 (45.061)	Prec@5 73.438 (75.642)
Epoch: [54][13550/14090]	Time 0.722 (0.750)	Data 0.001 (0.001)	Loss 2.1444 (2.1745)	Prec@1 43.750 (45.058)	Prec@5 75.781 (75.641)
Epoch: [54][13560/14090]	Time 0.760 (0.750)	Data 0.001 (0.001)	Loss 1.8950 (2.1744)	Prec@1 55.469 (45.059)	Prec@5 79.688 (75.643)
Epoch: [54][13570/14090]	Time 0.735 (0.750)	Data 0.001 (0.001)	Loss 2.0389 (2.1744)	Prec@1 47.656 (45.060)	Prec@5 79.688 (75.645)
Epoch: [54][13580/14090]	Time 0.761 (0.750)	Data 0.001 (0.001)	Loss 2.1283 (2.1744)	Prec@1 44.531 (45.058)	Prec@5 79.688 (75.645)
Epoch: [54][13590/14090]	Time 0.768 (0.750)	Data 0.001 (0.001)	Loss 1.8777 (2.1744)	Prec@1 54.688 (45.058)	Prec@5 85.156 (75.646)
Epoch: [54][13600/14090]	Time 0.756 (0.750)	Data 0.001 (0.001)	Loss 2.2673 (2.1743)	Prec@1 40.625 (45.058)	Prec@5 73.438 (75.648)
Epoch: [54][13610/14090]	Time 0.761 (0.750)	Data 0.001 (0.001)	Loss 2.4775 (2.1744)	Prec@1 42.969 (45.057)	Prec@5 69.531 (75.648)
Epoch: [54][13620/14090]	Time 0.750 (0.750)	Data 0.001 (0.001)	Loss 1.8966 (2.1744)	Prec@1 48.438 (45.057)	Prec@5 82.031 (75.647)
Epoch: [54][13630/14090]	Time 0.761 (0.750)	Data 0.001 (0.001)	Loss 2.0385 (2.1743)	Prec@1 53.125 (45.058)	Prec@5 73.438 (75.648)
Epoch: [54][13640/14090]	Time 0.726 (0.750)	Data 0.001 (0.001)	Loss 2.2046 (2.1743)	Prec@1 46.094 (45.060)	Prec@5 71.875 (75.649)
Epoch: [54][13650/14090]	Time 0.778 (0.750)	Data 0.001 (0.001)	Loss 2.1421 (2.1743)	Prec@1 48.438 (45.060)	Prec@5 75.000 (75.648)
Epoch: [54][13660/14090]	Time 0.762 (0.750)	Data 0.001 (0.001)	Loss 2.1724 (2.1744)	Prec@1 42.969 (45.058)	Prec@5 72.656 (75.648)
Epoch: [54][13670/14090]	Time 0.727 (0.750)	Data 0.001 (0.001)	Loss 1.9601 (2.1743)	Prec@1 43.750 (45.058)	Prec@5 78.906 (75.648)
Epoch: [54][13680/14090]	Time 0.759 (0.750)	Data 0.001 (0.001)	Loss 1.8628 (2.1744)	Prec@1 56.250 (45.058)	Prec@5 79.688 (75.649)
Epoch: [54][13690/14090]	Time 0.754 (0.750)	Data 0.001 (0.001)	Loss 1.9334 (2.1743)	Prec@1 46.094 (45.058)	Prec@5 78.906 (75.649)
Epoch: [54][13700/14090]	Time 0.759 (0.750)	Data 0.001 (0.001)	Loss 2.3042 (2.1743)	Prec@1 42.188 (45.059)	Prec@5 73.438 (75.649)
Epoch: [54][13710/14090]	Time 0.743 (0.750)	Data 0.001 (0.001)	Loss 2.3285 (2.1744)	Prec@1 36.719 (45.056)	Prec@5 70.312 (75.648)
Epoch: [54][13720/14090]	Time 0.733 (0.750)	Data 0.001 (0.001)	Loss 2.1227 (2.1744)	Prec@1 41.406 (45.055)	Prec@5 78.906 (75.647)
Epoch: [54][13730/14090]	Time 0.727 (0.750)	Data 0.001 (0.001)	Loss 2.2483 (2.1744)	Prec@1 39.844 (45.054)	Prec@5 71.875 (75.648)
Epoch: [54][13740/14090]	Time 0.756 (0.750)	Data 0.001 (0.001)	Loss 2.2408 (2.1745)	Prec@1 49.219 (45.053)	Prec@5 73.438 (75.648)
Epoch: [54][13750/14090]	Time 0.751 (0.750)	Data 0.001 (0.001)	Loss 2.2001 (2.1745)	Prec@1 46.875 (45.054)	Prec@5 71.875 (75.647)
Epoch: [54][13760/14090]	Time 0.746 (0.750)	Data 0.001 (0.001)	Loss 2.4099 (2.1745)	Prec@1 39.062 (45.054)	Prec@5 69.531 (75.645)
Epoch: [54][13770/14090]	Time 0.742 (0.750)	Data 0.001 (0.001)	Loss 1.9446 (2.1744)	Prec@1 51.562 (45.055)	Prec@5 83.594 (75.646)
Epoch: [54][13780/14090]	Time 0.756 (0.750)	Data 0.001 (0.001)	Loss 2.1784 (2.1744)	Prec@1 47.656 (45.056)	Prec@5 77.344 (75.646)
Epoch: [54][13790/14090]	Time 0.774 (0.750)	Data 0.001 (0.001)	Loss 2.1542 (2.1745)	Prec@1 45.312 (45.055)	Prec@5 74.219 (75.646)
Epoch: [54][13800/14090]	Time 0.734 (0.750)	Data 0.001 (0.001)	Loss 2.2141 (2.1744)	Prec@1 45.312 (45.056)	Prec@5 72.656 (75.647)
Epoch: [54][13810/14090]	Time 0.768 (0.750)	Data 0.001 (0.001)	Loss 2.4718 (2.1744)	Prec@1 40.625 (45.057)	Prec@5 72.656 (75.647)
Epoch: [54][13820/14090]	Time 0.742 (0.750)	Data 0.001 (0.001)	Loss 2.1789 (2.1744)	Prec@1 48.438 (45.057)	Prec@5 72.656 (75.646)
Epoch: [54][13830/14090]	Time 0.765 (0.750)	Data 0.001 (0.001)	Loss 2.0911 (2.1744)	Prec@1 46.875 (45.058)	Prec@5 70.312 (75.647)
Epoch: [54][13840/14090]	Time 0.752 (0.750)	Data 0.002 (0.001)	Loss 2.4482 (2.1744)	Prec@1 35.156 (45.057)	Prec@5 76.562 (75.647)
Epoch: [54][13850/14090]	Time 0.735 (0.750)	Data 0.001 (0.001)	Loss 1.8857 (2.1743)	Prec@1 47.656 (45.057)	Prec@5 84.375 (75.648)
Epoch: [54][13860/14090]	Time 0.736 (0.750)	Data 0.001 (0.001)	Loss 2.0727 (2.1744)	Prec@1 50.000 (45.056)	Prec@5 76.562 (75.648)
Epoch: [54][13870/14090]	Time 0.770 (0.750)	Data 0.001 (0.001)	Loss 2.1500 (2.1744)	Prec@1 39.844 (45.056)	Prec@5 76.562 (75.647)
Epoch: [54][13880/14090]	Time 0.850 (0.750)	Data 0.001 (0.001)	Loss 2.0400 (2.1744)	Prec@1 46.875 (45.058)	Prec@5 75.781 (75.648)
Epoch: [54][13890/14090]	Time 0.746 (0.750)	Data 0.001 (0.001)	Loss 2.2190 (2.1744)	Prec@1 48.438 (45.057)	Prec@5 74.219 (75.647)
Epoch: [54][13900/14090]	Time 0.726 (0.750)	Data 0.001 (0.001)	Loss 2.4306 (2.1744)	Prec@1 39.062 (45.056)	Prec@5 70.312 (75.646)
Epoch: [54][13910/14090]	Time 0.747 (0.750)	Data 0.001 (0.001)	Loss 2.0715 (2.1745)	Prec@1 43.750 (45.056)	Prec@5 72.656 (75.646)
Epoch: [54][13920/14090]	Time 0.739 (0.750)	Data 0.001 (0.001)	Loss 2.3387 (2.1745)	Prec@1 39.062 (45.057)	Prec@5 74.219 (75.646)
Epoch: [54][13930/14090]	Time 0.747 (0.750)	Data 0.001 (0.001)	Loss 2.0990 (2.1745)	Prec@1 45.312 (45.057)	Prec@5 75.781 (75.645)
Epoch: [54][13940/14090]	Time 0.759 (0.750)	Data 0.001 (0.001)	Loss 2.2880 (2.1745)	Prec@1 40.625 (45.057)	Prec@5 69.531 (75.644)
Epoch: [54][13950/14090]	Time 0.741 (0.750)	Data 0.001 (0.001)	Loss 2.0916 (2.1746)	Prec@1 47.656 (45.056)	Prec@5 78.906 (75.643)
Epoch: [54][13960/14090]	Time 0.759 (0.750)	Data 0.001 (0.001)	Loss 1.9970 (2.1746)	Prec@1 52.344 (45.055)	Prec@5 81.250 (75.642)
Epoch: [54][13970/14090]	Time 0.745 (0.750)	Data 0.001 (0.001)	Loss 2.3605 (2.1747)	Prec@1 42.969 (45.054)	Prec@5 68.750 (75.640)
Epoch: [54][13980/14090]	Time 0.732 (0.750)	Data 0.001 (0.001)	Loss 2.0714 (2.1747)	Prec@1 50.000 (45.053)	Prec@5 78.125 (75.641)
Epoch: [54][13990/14090]	Time 0.727 (0.750)	Data 0.001 (0.001)	Loss 2.6227 (2.1747)	Prec@1 35.938 (45.052)	Prec@5 71.094 (75.642)
Epoch: [54][14000/14090]	Time 0.770 (0.750)	Data 0.001 (0.001)	Loss 1.9603 (2.1747)	Prec@1 48.438 (45.052)	Prec@5 75.781 (75.643)
Epoch: [54][14010/14090]	Time 0.777 (0.750)	Data 0.001 (0.001)	Loss 2.1910 (2.1747)	Prec@1 41.406 (45.052)	Prec@5 78.125 (75.643)
Epoch: [54][14020/14090]	Time 0.721 (0.750)	Data 0.001 (0.001)	Loss 2.3499 (2.1747)	Prec@1 43.750 (45.052)	Prec@5 68.750 (75.643)
Epoch: [54][14030/14090]	Time 0.757 (0.750)	Data 0.001 (0.001)	Loss 2.4537 (2.1747)	Prec@1 37.500 (45.052)	Prec@5 73.438 (75.644)
Epoch: [54][14040/14090]	Time 0.768 (0.750)	Data 0.001 (0.001)	Loss 1.9219 (2.1747)	Prec@1 52.344 (45.053)	Prec@5 78.906 (75.643)
Epoch: [54][14050/14090]	Time 0.741 (0.750)	Data 0.001 (0.001)	Loss 2.2573 (2.1748)	Prec@1 44.531 (45.053)	Prec@5 78.125 (75.644)
Epoch: [54][14060/14090]	Time 0.728 (0.750)	Data 0.001 (0.001)	Loss 2.2118 (2.1747)	Prec@1 42.969 (45.053)	Prec@5 76.562 (75.645)
Epoch: [54][14070/14090]	Time 0.731 (0.750)	Data 0.001 (0.001)	Loss 2.2175 (2.1747)	Prec@1 46.094 (45.054)	Prec@5 73.438 (75.645)
Epoch: [54][14080/14090]	Time 0.772 (0.750)	Data 0.000 (0.001)	Loss 2.2614 (2.1747)	Prec@1 45.312 (45.053)	Prec@5 74.219 (75.645)
Test: [0/286]	Time 4.842 (4.842)	Loss 1.4501 (1.4501)	Prec@1 51.562 (51.562)	Prec@5 96.094 (96.094)
Test: [10/286]	Time 0.238 (0.821)	Loss 2.2096 (2.0504)	Prec@1 42.188 (46.875)	Prec@5 82.812 (80.966)
Test: [20/286]	Time 0.228 (0.632)	Loss 1.6362 (1.8957)	Prec@1 60.156 (49.740)	Prec@5 85.938 (82.887)
Test: [30/286]	Time 0.249 (0.554)	Loss 1.7867 (1.7878)	Prec@1 51.562 (52.747)	Prec@5 83.594 (83.644)
Test: [40/286]	Time 1.989 (0.566)	Loss 1.8221 (1.8296)	Prec@1 41.406 (51.658)	Prec@5 85.938 (83.346)
Test: [50/286]	Time 0.309 (0.534)	Loss 0.6386 (1.8404)	Prec@1 89.844 (51.547)	Prec@5 92.969 (83.104)
Test: [60/286]	Time 0.237 (0.516)	Loss 2.9349 (1.8433)	Prec@1 35.156 (51.806)	Prec@5 67.969 (82.454)
Test: [70/286]	Time 0.229 (0.501)	Loss 1.0752 (1.8331)	Prec@1 71.875 (52.025)	Prec@5 91.406 (82.658)
Test: [80/286]	Time 1.809 (0.508)	Loss 2.2269 (1.8871)	Prec@1 42.969 (50.617)	Prec@5 74.219 (81.684)
Test: [90/286]	Time 0.296 (0.500)	Loss 1.8115 (1.9042)	Prec@1 49.219 (50.361)	Prec@5 85.938 (81.439)
Test: [100/286]	Time 0.337 (0.492)	Loss 2.2762 (1.9073)	Prec@1 35.938 (50.077)	Prec@5 80.469 (81.652)
Test: [110/286]	Time 0.285 (0.485)	Loss 2.3213 (1.9306)	Prec@1 42.969 (49.585)	Prec@5 71.094 (81.440)
Test: [120/286]	Time 1.830 (0.492)	Loss 1.7775 (1.9178)	Prec@1 58.594 (50.000)	Prec@5 81.250 (81.624)
Test: [130/286]	Time 0.251 (0.486)	Loss 1.0092 (1.9005)	Prec@1 72.656 (50.525)	Prec@5 92.969 (81.787)
Test: [140/286]	Time 0.238 (0.481)	Loss 2.4767 (1.8924)	Prec@1 42.188 (50.776)	Prec@5 72.656 (81.837)
Test: [150/286]	Time 0.286 (0.477)	Loss 3.1915 (1.9059)	Prec@1 17.188 (50.341)	Prec@5 62.500 (81.685)
Test: [160/286]	Time 1.862 (0.484)	Loss 2.4252 (1.8973)	Prec@1 32.812 (50.519)	Prec@5 73.438 (81.789)
Test: [170/286]	Time 0.228 (0.480)	Loss 1.9646 (1.8867)	Prec@1 42.969 (50.681)	Prec@5 83.594 (81.949)
Test: [180/286]	Time 0.239 (0.478)	Loss 1.8967 (1.8997)	Prec@1 55.469 (50.354)	Prec@5 80.469 (81.811)
Test: [190/286]	Time 0.236 (0.474)	Loss 3.2430 (1.9146)	Prec@1 12.500 (49.877)	Prec@5 63.281 (81.643)
Test: [200/286]	Time 1.732 (0.479)	Loss 2.3116 (1.9100)	Prec@1 44.531 (50.082)	Prec@5 79.688 (81.654)
Test: [210/286]	Time 0.230 (0.476)	Loss 2.3089 (1.9178)	Prec@1 34.375 (49.830)	Prec@5 72.656 (81.524)
Test: [220/286]	Time 0.328 (0.474)	Loss 2.7799 (1.9222)	Prec@1 27.344 (49.855)	Prec@5 67.969 (81.406)
Test: [230/286]	Time 0.282 (0.471)	Loss 1.1880 (1.9242)	Prec@1 70.312 (49.882)	Prec@5 89.844 (81.318)
Test: [240/286]	Time 1.454 (0.474)	Loss 2.1253 (1.9228)	Prec@1 50.781 (50.075)	Prec@5 78.125 (81.341)
Test: [250/286]	Time 0.543 (0.473)	Loss 2.1012 (1.9158)	Prec@1 48.438 (50.128)	Prec@5 77.344 (81.536)
Test: [260/286]	Time 0.334 (0.472)	Loss 2.0351 (1.9075)	Prec@1 46.875 (50.293)	Prec@5 78.906 (81.696)
Test: [270/286]	Time 0.291 (0.470)	Loss 1.4349 (1.9082)	Prec@1 65.625 (50.251)	Prec@5 91.406 (81.775)
Test: [280/286]	Time 1.062 (0.471)	Loss 1.7838 (1.8916)	Prec@1 59.375 (50.787)	Prec@5 89.844 (81.931)
 * Prec@1 50.898 Prec@5 81.940
Epoch: [55][0/14090]	Time 6.037 (6.037)	Data 5.277 (5.277)	Loss 2.3832 (2.3832)	Prec@1 44.531 (44.531)	Prec@5 70.312 (70.312)
Epoch: [55][10/14090]	Time 0.720 (1.211)	Data 0.001 (0.481)	Loss 2.3893 (2.1725)	Prec@1 41.406 (46.023)	Prec@5 73.438 (75.284)
Epoch: [55][20/14090]	Time 0.726 (0.985)	Data 0.001 (0.252)	Loss 2.2112 (2.1843)	Prec@1 46.875 (45.275)	Prec@5 72.656 (75.335)
Epoch: [55][30/14090]	Time 0.742 (0.905)	Data 0.001 (0.171)	Loss 2.5769 (2.1680)	Prec@1 38.281 (45.716)	Prec@5 67.969 (75.630)
Epoch: [55][40/14090]	Time 0.767 (0.868)	Data 0.002 (0.130)	Loss 1.9034 (2.1884)	Prec@1 50.000 (45.655)	Prec@5 79.688 (75.514)
Epoch: [55][50/14090]	Time 0.771 (0.845)	Data 0.001 (0.104)	Loss 2.1467 (2.1741)	Prec@1 47.656 (45.925)	Prec@5 76.562 (75.659)
Epoch: [55][60/14090]	Time 0.743 (0.826)	Data 0.001 (0.087)	Loss 2.2204 (2.1654)	Prec@1 43.750 (45.863)	Prec@5 76.562 (75.871)
Epoch: [55][70/14090]	Time 0.726 (0.815)	Data 0.001 (0.075)	Loss 1.9555 (2.1646)	Prec@1 47.656 (45.951)	Prec@5 78.906 (75.858)
Epoch: [55][80/14090]	Time 0.752 (0.807)	Data 0.001 (0.066)	Loss 2.0908 (2.1549)	Prec@1 46.094 (45.997)	Prec@5 81.250 (76.100)
Epoch: [55][90/14090]	Time 0.763 (0.800)	Data 0.001 (0.059)	Loss 1.8729 (2.1559)	Prec@1 50.000 (46.077)	Prec@5 82.812 (75.953)
Epoch: [55][100/14090]	Time 0.723 (0.794)	Data 0.001 (0.053)	Loss 2.0754 (2.1545)	Prec@1 47.656 (46.202)	Prec@5 79.688 (76.037)
Epoch: [55][110/14090]	Time 0.731 (0.790)	Data 0.002 (0.049)	Loss 2.3585 (2.1495)	Prec@1 41.406 (46.284)	Prec@5 71.875 (76.147)
Epoch: [55][120/14090]	Time 0.755 (0.786)	Data 0.001 (0.045)	Loss 1.9867 (2.1470)	Prec@1 51.562 (46.249)	Prec@5 79.688 (76.162)
Epoch: [55][130/14090]	Time 0.764 (0.784)	Data 0.003 (0.041)	Loss 1.8825 (2.1466)	Prec@1 56.250 (46.213)	Prec@5 78.125 (76.139)
Epoch: [55][140/14090]	Time 0.765 (0.781)	Data 0.001 (0.038)	Loss 2.1017 (2.1418)	Prec@1 49.219 (46.304)	Prec@5 74.219 (76.197)
Epoch: [55][150/14090]	Time 0.750 (0.779)	Data 0.001 (0.036)	Loss 2.5296 (2.1432)	Prec@1 42.188 (46.285)	Prec@5 70.312 (76.231)
Epoch: [55][160/14090]	Time 0.747 (0.777)	Data 0.001 (0.034)	Loss 2.1559 (2.1465)	Prec@1 44.531 (46.201)	Prec@5 77.344 (76.160)
Epoch: [55][170/14090]	Time 0.755 (0.775)	Data 0.001 (0.032)	Loss 1.9002 (2.1484)	Prec@1 49.219 (46.194)	Prec@5 82.031 (76.133)
Epoch: [55][180/14090]	Time 0.749 (0.774)	Data 0.003 (0.030)	Loss 1.9703 (2.1435)	Prec@1 53.125 (46.236)	Prec@5 78.906 (76.209)
Epoch: [55][190/14090]	Time 0.764 (0.773)	Data 0.001 (0.029)	Loss 2.5176 (2.1434)	Prec@1 35.938 (46.122)	Prec@5 71.875 (76.190)
Epoch: [55][200/14090]	Time 0.746 (0.772)	Data 0.001 (0.027)	Loss 1.9435 (2.1412)	Prec@1 49.219 (46.191)	Prec@5 77.344 (76.135)
Epoch: [55][210/14090]	Time 0.745 (0.771)	Data 0.001 (0.026)	Loss 2.3532 (2.1421)	Prec@1 46.875 (46.179)	Prec@5 72.656 (76.140)
Epoch: [55][220/14090]	Time 0.731 (0.770)	Data 0.001 (0.025)	Loss 2.1262 (2.1422)	Prec@1 46.875 (46.126)	Prec@5 81.250 (76.156)
Epoch: [55][230/14090]	Time 0.775 (0.769)	Data 0.001 (0.024)	Loss 2.0962 (2.1451)	Prec@1 45.312 (46.097)	Prec@5 75.781 (76.086)
Epoch: [55][240/14090]	Time 0.756 (0.768)	Data 0.001 (0.023)	Loss 2.3061 (2.1491)	Prec@1 38.281 (45.951)	Prec@5 75.000 (76.028)
Epoch: [55][250/14090]	Time 0.740 (0.767)	Data 0.002 (0.022)	Loss 2.0279 (2.1500)	Prec@1 48.438 (45.916)	Prec@5 76.562 (76.002)
Epoch: [55][260/14090]	Time 0.733 (0.766)	Data 0.001 (0.021)	Loss 2.5281 (2.1519)	Prec@1 35.156 (45.842)	Prec@5 68.750 (75.991)
Epoch: [55][270/14090]	Time 0.756 (0.766)	Data 0.003 (0.020)	Loss 1.8798 (2.1504)	Prec@1 50.000 (45.863)	Prec@5 81.250 (76.003)
Epoch: [55][280/14090]	Time 0.749 (0.765)	Data 0.001 (0.020)	Loss 1.8778 (2.1466)	Prec@1 52.344 (45.882)	Prec@5 78.125 (76.084)
Epoch: [55][290/14090]	Time 0.736 (0.765)	Data 0.001 (0.019)	Loss 2.2095 (2.1462)	Prec@1 49.219 (45.836)	Prec@5 73.438 (76.095)
Epoch: [55][300/14090]	Time 0.736 (0.764)	Data 0.001 (0.019)	Loss 2.1828 (2.1436)	Prec@1 42.969 (45.847)	Prec@5 75.781 (76.139)
Epoch: [55][310/14090]	Time 0.759 (0.764)	Data 0.001 (0.018)	Loss 2.1476 (2.1411)	Prec@1 43.750 (45.863)	Prec@5 79.688 (76.188)
Epoch: [55][320/14090]	Time 0.752 (0.763)	Data 0.002 (0.017)	Loss 1.9755 (2.1400)	Prec@1 49.219 (45.867)	Prec@5 78.125 (76.234)
Epoch: [55][330/14090]	Time 0.766 (0.763)	Data 0.001 (0.017)	Loss 2.2804 (2.1412)	Prec@1 51.562 (45.851)	Prec@5 75.000 (76.232)
Epoch: [55][340/14090]	Time 0.780 (0.763)	Data 0.001 (0.016)	Loss 2.2009 (2.1414)	Prec@1 49.219 (45.883)	Prec@5 78.906 (76.237)
Epoch: [55][350/14090]	Time 0.739 (0.763)	Data 0.001 (0.016)	Loss 2.2635 (2.1425)	Prec@1 42.188 (45.864)	Prec@5 73.438 (76.213)
Epoch: [55][360/14090]	Time 0.741 (0.762)	Data 0.001 (0.016)	Loss 1.9631 (2.1446)	Prec@1 50.000 (45.847)	Prec@5 82.031 (76.149)
Epoch: [55][370/14090]	Time 0.751 (0.762)	Data 0.001 (0.015)	Loss 2.0913 (2.1432)	Prec@1 49.219 (45.860)	Prec@5 76.562 (76.171)
Epoch: [55][380/14090]	Time 0.722 (0.762)	Data 0.001 (0.015)	Loss 2.2397 (2.1434)	Prec@1 44.531 (45.864)	Prec@5 76.562 (76.148)
Epoch: [55][390/14090]	Time 0.755 (0.761)	Data 0.002 (0.015)	Loss 2.1149 (2.1433)	Prec@1 42.188 (45.854)	Prec@5 78.125 (76.157)
Epoch: [55][400/14090]	Time 0.741 (0.761)	Data 0.001 (0.014)	Loss 1.9812 (2.1429)	Prec@1 48.438 (45.870)	Prec@5 75.000 (76.126)
Epoch: [55][410/14090]	Time 0.753 (0.761)	Data 0.001 (0.014)	Loss 2.3747 (2.1458)	Prec@1 42.188 (45.782)	Prec@5 71.875 (76.066)
Epoch: [55][420/14090]	Time 0.746 (0.760)	Data 0.001 (0.014)	Loss 2.2375 (2.1475)	Prec@1 44.531 (45.750)	Prec@5 72.656 (76.041)
Epoch: [55][430/14090]	Time 0.749 (0.760)	Data 0.001 (0.013)	Loss 1.9631 (2.1476)	Prec@1 53.906 (45.758)	Prec@5 78.125 (76.022)
Epoch: [55][440/14090]	Time 0.739 (0.760)	Data 0.001 (0.013)	Loss 2.4638 (2.1487)	Prec@1 37.500 (45.725)	Prec@5 69.531 (75.992)
Epoch: [55][450/14090]	Time 0.734 (0.760)	Data 0.001 (0.013)	Loss 2.1810 (2.1498)	Prec@1 46.094 (45.694)	Prec@5 76.562 (75.949)
Epoch: [55][460/14090]	Time 0.740 (0.759)	Data 0.002 (0.012)	Loss 2.1740 (2.1499)	Prec@1 42.969 (45.668)	Prec@5 75.781 (75.944)
Epoch: [55][470/14090]	Time 0.756 (0.759)	Data 0.001 (0.012)	Loss 2.0706 (2.1505)	Prec@1 41.406 (45.626)	Prec@5 75.781 (75.916)
Epoch: [55][480/14090]	Time 0.751 (0.759)	Data 0.001 (0.012)	Loss 2.2896 (2.1499)	Prec@1 46.094 (45.637)	Prec@5 75.781 (75.950)
Epoch: [55][490/14090]	Time 0.765 (0.759)	Data 0.001 (0.012)	Loss 2.3687 (2.1502)	Prec@1 45.312 (45.647)	Prec@5 73.438 (75.942)
Epoch: [55][500/14090]	Time 0.742 (0.759)	Data 0.001 (0.012)	Loss 2.1162 (2.1497)	Prec@1 42.188 (45.645)	Prec@5 72.656 (75.945)
Epoch: [55][510/14090]	Time 0.744 (0.758)	Data 0.001 (0.011)	Loss 2.0694 (2.1495)	Prec@1 42.188 (45.627)	Prec@5 78.906 (75.933)
Epoch: [55][520/14090]	Time 0.755 (0.758)	Data 0.001 (0.011)	Loss 1.8783 (2.1486)	Prec@1 50.781 (45.632)	Prec@5 84.375 (75.943)
Epoch: [55][530/14090]	Time 0.747 (0.758)	Data 0.002 (0.011)	Loss 2.1358 (2.1481)	Prec@1 46.094 (45.663)	Prec@5 73.438 (75.937)
Epoch: [55][540/14090]	Time 0.777 (0.758)	Data 0.001 (0.011)	Loss 1.9533 (2.1487)	Prec@1 48.438 (45.623)	Prec@5 83.594 (75.921)
Epoch: [55][550/14090]	Time 0.742 (0.758)	Data 0.001 (0.011)	Loss 2.2499 (2.1471)	Prec@1 39.062 (45.639)	Prec@5 75.781 (75.964)
Epoch: [55][560/14090]	Time 0.723 (0.757)	Data 0.001 (0.010)	Loss 2.1041 (2.1467)	Prec@1 49.219 (45.638)	Prec@5 71.875 (75.976)
Epoch: [55][570/14090]	Time 0.756 (0.757)	Data 0.001 (0.010)	Loss 2.0567 (2.1468)	Prec@1 53.125 (45.638)	Prec@5 75.000 (75.977)
Epoch: [55][580/14090]	Time 0.737 (0.757)	Data 0.001 (0.010)	Loss 2.1706 (2.1449)	Prec@1 46.094 (45.684)	Prec@5 75.781 (75.998)
Epoch: [55][590/14090]	Time 0.744 (0.757)	Data 0.001 (0.010)	Loss 1.9489 (2.1440)	Prec@1 53.906 (45.693)	Prec@5 80.469 (76.040)
Epoch: [55][600/14090]	Time 0.748 (0.757)	Data 0.002 (0.010)	Loss 2.3227 (2.1455)	Prec@1 41.406 (45.647)	Prec@5 74.219 (76.019)
Epoch: [55][610/14090]	Time 0.759 (0.757)	Data 0.001 (0.010)	Loss 2.1633 (2.1461)	Prec@1 50.781 (45.651)	Prec@5 75.781 (76.017)
Epoch: [55][620/14090]	Time 0.732 (0.757)	Data 0.001 (0.010)	Loss 2.4523 (2.1447)	Prec@1 39.844 (45.700)	Prec@5 65.625 (76.028)
Epoch: [55][630/14090]	Time 0.756 (0.757)	Data 0.001 (0.009)	Loss 2.4305 (2.1457)	Prec@1 39.844 (45.688)	Prec@5 73.438 (76.016)
Epoch: [55][640/14090]	Time 0.759 (0.756)	Data 0.001 (0.009)	Loss 2.1280 (2.1480)	Prec@1 48.438 (45.653)	Prec@5 75.000 (75.997)
Epoch: [55][650/14090]	Time 0.729 (0.756)	Data 0.001 (0.009)	Loss 2.1131 (2.1479)	Prec@1 46.875 (45.643)	Prec@5 76.562 (75.995)
Epoch: [55][660/14090]	Time 0.761 (0.756)	Data 0.001 (0.009)	Loss 1.9880 (2.1474)	Prec@1 50.781 (45.653)	Prec@5 82.031 (76.014)
Epoch: [55][670/14090]	Time 0.739 (0.756)	Data 0.002 (0.009)	Loss 2.1584 (2.1488)	Prec@1 49.219 (45.637)	Prec@5 78.125 (75.972)
Epoch: [55][680/14090]	Time 0.772 (0.756)	Data 0.001 (0.009)	Loss 2.2921 (2.1476)	Prec@1 40.625 (45.670)	Prec@5 71.094 (75.996)
Epoch: [55][690/14090]	Time 0.746 (0.756)	Data 0.001 (0.009)	Loss 2.2252 (2.1475)	Prec@1 43.750 (45.688)	Prec@5 75.781 (75.988)
Epoch: [55][700/14090]	Time 0.733 (0.756)	Data 0.001 (0.009)	Loss 2.1968 (2.1481)	Prec@1 50.000 (45.695)	Prec@5 75.000 (75.975)
Epoch: [55][710/14090]	Time 0.761 (0.756)	Data 0.001 (0.008)	Loss 2.2050 (2.1489)	Prec@1 44.531 (45.686)	Prec@5 74.219 (75.967)
Epoch: [55][720/14090]	Time 0.738 (0.755)	Data 0.001 (0.008)	Loss 2.2131 (2.1484)	Prec@1 46.875 (45.700)	Prec@5 73.438 (75.962)
Epoch: [55][730/14090]	Time 0.738 (0.755)	Data 0.001 (0.008)	Loss 2.0297 (2.1491)	Prec@1 53.906 (45.700)	Prec@5 78.906 (75.955)
Epoch: [55][740/14090]	Time 0.735 (0.755)	Data 0.002 (0.008)	Loss 2.1463 (2.1485)	Prec@1 45.312 (45.699)	Prec@5 74.219 (75.984)
Epoch: [55][750/14090]	Time 0.761 (0.755)	Data 0.001 (0.008)	Loss 1.8242 (2.1478)	Prec@1 55.469 (45.697)	Prec@5 83.594 (75.990)
Epoch: [55][760/14090]	Time 0.753 (0.755)	Data 0.001 (0.008)	Loss 1.9465 (2.1477)	Prec@1 46.094 (45.690)	Prec@5 82.812 (75.996)
Epoch: [55][770/14090]	Time 0.757 (0.755)	Data 0.001 (0.008)	Loss 2.2387 (2.1481)	Prec@1 44.531 (45.679)	Prec@5 70.312 (75.999)
Epoch: [55][780/14090]	Time 0.764 (0.755)	Data 0.001 (0.008)	Loss 1.8500 (2.1472)	Prec@1 50.000 (45.720)	Prec@5 86.719 (76.018)
Epoch: [55][790/14090]	Time 0.746 (0.755)	Data 0.001 (0.008)	Loss 1.9054 (2.1473)	Prec@1 49.219 (45.713)	Prec@5 74.219 (76.024)
Epoch: [55][800/14090]	Time 0.765 (0.755)	Data 0.001 (0.008)	Loss 2.5763 (2.1482)	Prec@1 39.062 (45.702)	Prec@5 70.312 (76.005)
Epoch: [55][810/14090]	Time 0.749 (0.755)	Data 0.002 (0.008)	Loss 2.5434 (2.1495)	Prec@1 37.500 (45.679)	Prec@5 74.219 (76.011)
Epoch: [55][820/14090]	Time 0.751 (0.754)	Data 0.001 (0.007)	Loss 2.2785 (2.1489)	Prec@1 45.312 (45.689)	Prec@5 75.781 (76.010)
Epoch: [55][830/14090]	Time 0.731 (0.754)	Data 0.001 (0.007)	Loss 2.1425 (2.1489)	Prec@1 47.656 (45.696)	Prec@5 73.438 (75.998)
Epoch: [55][840/14090]	Time 0.776 (0.754)	Data 0.001 (0.007)	Loss 2.1626 (2.1484)	Prec@1 39.062 (45.692)	Prec@5 76.562 (76.019)
Epoch: [55][850/14090]	Time 0.762 (0.754)	Data 0.001 (0.007)	Loss 2.1174 (2.1479)	Prec@1 44.531 (45.708)	Prec@5 75.781 (76.023)
Epoch: [55][860/14090]	Time 0.765 (0.754)	Data 0.001 (0.007)	Loss 2.3806 (2.1477)	Prec@1 46.875 (45.721)	Prec@5 77.344 (76.039)
Epoch: [55][870/14090]	Time 0.745 (0.754)	Data 0.001 (0.007)	Loss 1.9190 (2.1469)	Prec@1 53.125 (45.726)	Prec@5 81.250 (76.071)
Epoch: [55][880/14090]	Time 0.738 (0.754)	Data 0.003 (0.007)	Loss 2.1391 (2.1470)	Prec@1 46.094 (45.728)	Prec@5 77.344 (76.069)
Epoch: [55][890/14090]	Time 0.756 (0.754)	Data 0.001 (0.007)	Loss 2.1807 (2.1474)	Prec@1 43.750 (45.733)	Prec@5 77.344 (76.063)
Epoch: [55][900/14090]	Time 0.731 (0.754)	Data 0.002 (0.007)	Loss 2.1645 (2.1476)	Prec@1 41.406 (45.730)	Prec@5 75.000 (76.063)
Epoch: [55][910/14090]	Time 0.743 (0.754)	Data 0.001 (0.007)	Loss 2.2012 (2.1470)	Prec@1 44.531 (45.754)	Prec@5 73.438 (76.067)
Epoch: [55][920/14090]	Time 0.767 (0.754)	Data 0.001 (0.007)	Loss 2.2205 (2.1463)	Prec@1 43.750 (45.759)	Prec@5 78.125 (76.103)
Epoch: [55][930/14090]	Time 0.734 (0.754)	Data 0.001 (0.007)	Loss 2.3781 (2.1462)	Prec@1 45.312 (45.761)	Prec@5 74.219 (76.117)
Epoch: [55][940/14090]	Time 0.744 (0.754)	Data 0.001 (0.007)	Loss 2.1846 (2.1458)	Prec@1 43.750 (45.752)	Prec@5 74.219 (76.126)
Epoch: [55][950/14090]	Time 0.737 (0.754)	Data 0.002 (0.007)	Loss 1.9819 (2.1455)	Prec@1 45.312 (45.755)	Prec@5 82.031 (76.131)
Epoch: [55][960/14090]	Time 0.761 (0.753)	Data 0.001 (0.007)	Loss 2.0408 (2.1455)	Prec@1 46.875 (45.757)	Prec@5 75.000 (76.127)
Epoch: [55][970/14090]	Time 0.758 (0.753)	Data 0.001 (0.006)	Loss 2.3046 (2.1462)	Prec@1 40.625 (45.737)	Prec@5 75.000 (76.120)
Epoch: [55][980/14090]	Time 0.751 (0.753)	Data 0.001 (0.006)	Loss 2.1398 (2.1471)	Prec@1 48.438 (45.727)	Prec@5 78.125 (76.093)
Epoch: [55][990/14090]	Time 0.761 (0.753)	Data 0.001 (0.006)	Loss 1.9463 (2.1475)	Prec@1 41.406 (45.719)	Prec@5 82.031 (76.089)
Epoch: [55][1000/14090]	Time 0.739 (0.753)	Data 0.001 (0.006)	Loss 2.0589 (2.1470)	Prec@1 45.312 (45.723)	Prec@5 75.781 (76.093)
Epoch: [55][1010/14090]	Time 0.746 (0.753)	Data 0.001 (0.006)	Loss 2.2383 (2.1469)	Prec@1 45.312 (45.734)	Prec@5 75.000 (76.104)
Epoch: [55][1020/14090]	Time 0.749 (0.753)	Data 0.002 (0.006)	Loss 2.3335 (2.1474)	Prec@1 45.312 (45.726)	Prec@5 69.531 (76.093)
Epoch: [55][1030/14090]	Time 0.742 (0.753)	Data 0.001 (0.006)	Loss 1.9750 (2.1472)	Prec@1 53.906 (45.725)	Prec@5 78.125 (76.106)
Epoch: [55][1040/14090]	Time 0.732 (0.753)	Data 0.001 (0.006)	Loss 2.1063 (2.1467)	Prec@1 45.312 (45.731)	Prec@5 81.250 (76.118)
Epoch: [55][1050/14090]	Time 0.742 (0.753)	Data 0.001 (0.006)	Loss 2.3451 (2.1468)	Prec@1 42.969 (45.732)	Prec@5 73.438 (76.111)
Epoch: [55][1060/14090]	Time 0.756 (0.753)	Data 0.001 (0.006)	Loss 2.4895 (2.1471)	Prec@1 36.719 (45.731)	Prec@5 68.750 (76.107)
Epoch: [55][1070/14090]	Time 0.765 (0.753)	Data 0.001 (0.006)	Loss 2.5052 (2.1475)	Prec@1 41.406 (45.732)	Prec@5 65.625 (76.102)
Epoch: [55][1080/14090]	Time 0.759 (0.753)	Data 0.001 (0.006)	Loss 2.2715 (2.1480)	Prec@1 44.531 (45.700)	Prec@5 78.125 (76.098)
Epoch: [55][1090/14090]	Time 0.759 (0.753)	Data 0.002 (0.006)	Loss 2.0218 (2.1481)	Prec@1 43.750 (45.698)	Prec@5 78.125 (76.101)
Epoch: [55][1100/14090]	Time 0.755 (0.753)	Data 0.001 (0.006)	Loss 2.0879 (2.1483)	Prec@1 45.312 (45.691)	Prec@5 78.125 (76.094)
Epoch: [55][1110/14090]	Time 0.760 (0.753)	Data 0.001 (0.006)	Loss 1.9479 (2.1471)	Prec@1 54.688 (45.722)	Prec@5 76.562 (76.117)
Epoch: [55][1120/14090]	Time 0.739 (0.753)	Data 0.001 (0.006)	Loss 2.2762 (2.1468)	Prec@1 41.406 (45.726)	Prec@5 75.781 (76.129)
Epoch: [55][1130/14090]	Time 0.780 (0.753)	Data 0.001 (0.006)	Loss 1.9709 (2.1465)	Prec@1 52.344 (45.733)	Prec@5 81.250 (76.132)
Epoch: [55][1140/14090]	Time 0.770 (0.753)	Data 0.001 (0.006)	Loss 2.2220 (2.1463)	Prec@1 43.750 (45.727)	Prec@5 71.875 (76.136)
Epoch: [55][1150/14090]	Time 0.764 (0.753)	Data 0.001 (0.006)	Loss 2.2196 (2.1463)	Prec@1 46.094 (45.727)	Prec@5 76.562 (76.142)
Epoch: [55][1160/14090]	Time 0.767 (0.753)	Data 0.002 (0.006)	Loss 2.2180 (2.1457)	Prec@1 50.000 (45.742)	Prec@5 72.656 (76.146)
Epoch: [55][1170/14090]	Time 0.740 (0.753)	Data 0.001 (0.006)	Loss 1.9193 (2.1456)	Prec@1 49.219 (45.737)	Prec@5 78.906 (76.140)
Epoch: [55][1180/14090]	Time 0.771 (0.753)	Data 0.001 (0.005)	Loss 2.1176 (2.1448)	Prec@1 46.875 (45.752)	Prec@5 76.562 (76.152)
Epoch: [55][1190/14090]	Time 0.743 (0.753)	Data 0.001 (0.005)	Loss 2.2481 (2.1453)	Prec@1 46.094 (45.728)	Prec@5 75.781 (76.140)
Epoch: [55][1200/14090]	Time 0.756 (0.753)	Data 0.001 (0.005)	Loss 2.0075 (2.1455)	Prec@1 51.562 (45.729)	Prec@5 78.906 (76.125)
Epoch: [55][1210/14090]	Time 0.758 (0.753)	Data 0.001 (0.005)	Loss 2.0981 (2.1464)	Prec@1 49.219 (45.709)	Prec@5 75.781 (76.117)
Epoch: [55][1220/14090]	Time 0.752 (0.753)	Data 0.001 (0.005)	Loss 2.1800 (2.1460)	Prec@1 49.219 (45.714)	Prec@5 75.781 (76.130)
Epoch: [55][1230/14090]	Time 0.718 (0.753)	Data 0.002 (0.005)	Loss 2.3621 (2.1461)	Prec@1 45.312 (45.712)	Prec@5 71.875 (76.125)
Epoch: [55][1240/14090]	Time 0.758 (0.753)	Data 0.001 (0.005)	Loss 2.1583 (2.1462)	Prec@1 43.750 (45.711)	Prec@5 78.906 (76.136)
Epoch: [55][1250/14090]	Time 0.738 (0.753)	Data 0.001 (0.005)	Loss 2.2417 (2.1461)	Prec@1 46.094 (45.710)	Prec@5 77.344 (76.136)
Epoch: [55][1260/14090]	Time 0.749 (0.753)	Data 0.001 (0.005)	Loss 2.1238 (2.1458)	Prec@1 48.438 (45.712)	Prec@5 78.906 (76.137)
Epoch: [55][1270/14090]	Time 0.731 (0.753)	Data 0.001 (0.005)	Loss 1.8643 (2.1457)	Prec@1 49.219 (45.709)	Prec@5 82.812 (76.149)
Epoch: [55][1280/14090]	Time 0.759 (0.753)	Data 0.001 (0.005)	Loss 2.2436 (2.1468)	Prec@1 42.969 (45.677)	Prec@5 75.000 (76.130)
Epoch: [55][1290/14090]	Time 0.736 (0.753)	Data 0.001 (0.005)	Loss 2.1852 (2.1469)	Prec@1 45.312 (45.677)	Prec@5 71.875 (76.129)
Epoch: [55][1300/14090]	Time 0.777 (0.753)	Data 0.002 (0.005)	Loss 2.2254 (2.1467)	Prec@1 42.969 (45.689)	Prec@5 72.656 (76.129)
Epoch: [55][1310/14090]	Time 0.742 (0.753)	Data 0.001 (0.005)	Loss 2.2067 (2.1472)	Prec@1 42.969 (45.684)	Prec@5 73.438 (76.113)
Epoch: [55][1320/14090]	Time 0.728 (0.752)	Data 0.001 (0.005)	Loss 2.2472 (2.1473)	Prec@1 43.750 (45.685)	Prec@5 76.562 (76.113)
Epoch: [55][1330/14090]	Time 0.776 (0.752)	Data 0.001 (0.005)	Loss 2.0045 (2.1470)	Prec@1 43.750 (45.691)	Prec@5 78.906 (76.118)
Epoch: [55][1340/14090]	Time 0.731 (0.752)	Data 0.001 (0.005)	Loss 2.3484 (2.1472)	Prec@1 42.969 (45.682)	Prec@5 73.438 (76.119)
Epoch: [55][1350/14090]	Time 0.765 (0.752)	Data 0.001 (0.005)	Loss 2.0461 (2.1474)	Prec@1 52.344 (45.672)	Prec@5 77.344 (76.119)
Epoch: [55][1360/14090]	Time 0.726 (0.752)	Data 0.001 (0.005)	Loss 2.0694 (2.1471)	Prec@1 48.438 (45.674)	Prec@5 74.219 (76.126)
Epoch: [55][1370/14090]	Time 0.727 (0.752)	Data 0.002 (0.005)	Loss 2.1509 (2.1474)	Prec@1 40.625 (45.664)	Prec@5 76.562 (76.122)
Epoch: [55][1380/14090]	Time 0.744 (0.752)	Data 0.001 (0.005)	Loss 2.4489 (2.1482)	Prec@1 41.406 (45.647)	Prec@5 72.656 (76.114)
Epoch: [55][1390/14090]	Time 0.734 (0.752)	Data 0.001 (0.005)	Loss 1.8034 (2.1479)	Prec@1 53.906 (45.643)	Prec@5 79.688 (76.117)
Epoch: [55][1400/14090]	Time 0.735 (0.752)	Data 0.001 (0.005)	Loss 2.3974 (2.1488)	Prec@1 34.375 (45.627)	Prec@5 74.219 (76.106)
Epoch: [55][1410/14090]	Time 0.775 (0.752)	Data 0.001 (0.005)	Loss 2.1121 (2.1490)	Prec@1 42.969 (45.619)	Prec@5 76.562 (76.095)
Epoch: [55][1420/14090]	Time 0.759 (0.752)	Data 0.001 (0.005)	Loss 1.9641 (2.1495)	Prec@1 46.875 (45.600)	Prec@5 81.250 (76.088)
Epoch: [55][1430/14090]	Time 0.732 (0.752)	Data 0.001 (0.005)	Loss 2.1239 (2.1491)	Prec@1 42.188 (45.606)	Prec@5 77.344 (76.083)
Epoch: [55][1440/14090]	Time 0.762 (0.752)	Data 0.002 (0.005)	Loss 2.3043 (2.1494)	Prec@1 43.750 (45.605)	Prec@5 75.000 (76.082)
Epoch: [55][1450/14090]	Time 0.756 (0.752)	Data 0.001 (0.005)	Loss 2.3149 (2.1502)	Prec@1 43.750 (45.597)	Prec@5 74.219 (76.065)
Epoch: [55][1460/14090]	Time 0.733 (0.752)	Data 0.001 (0.005)	Loss 2.4806 (2.1505)	Prec@1 40.625 (45.592)	Prec@5 67.969 (76.055)
Epoch: [55][1470/14090]	Time 0.737 (0.752)	Data 0.001 (0.005)	Loss 1.9630 (2.1506)	Prec@1 49.219 (45.594)	Prec@5 84.375 (76.055)
Epoch: [55][1480/14090]	Time 0.775 (0.752)	Data 0.001 (0.005)	Loss 2.2753 (2.1509)	Prec@1 41.406 (45.589)	Prec@5 68.750 (76.052)
Epoch: [55][1490/14090]	Time 0.726 (0.752)	Data 0.001 (0.005)	Loss 2.0531 (2.1510)	Prec@1 46.875 (45.581)	Prec@5 78.125 (76.045)
Epoch: [55][1500/14090]	Time 0.747 (0.752)	Data 0.002 (0.005)	Loss 2.2576 (2.1515)	Prec@1 48.438 (45.583)	Prec@5 74.219 (76.034)
Epoch: [55][1510/14090]	Time 0.727 (0.752)	Data 0.002 (0.005)	Loss 2.2484 (2.1514)	Prec@1 42.188 (45.579)	Prec@5 71.094 (76.039)
Epoch: [55][1520/14090]	Time 0.732 (0.752)	Data 0.001 (0.004)	Loss 2.2346 (2.1515)	Prec@1 47.656 (45.576)	Prec@5 74.219 (76.041)
Epoch: [55][1530/14090]	Time 0.756 (0.752)	Data 0.002 (0.004)	Loss 2.1924 (2.1516)	Prec@1 39.062 (45.567)	Prec@5 76.562 (76.037)
Epoch: [55][1540/14090]	Time 0.760 (0.752)	Data 0.001 (0.004)	Loss 2.3025 (2.1513)	Prec@1 46.875 (45.591)	Prec@5 71.875 (76.038)
Epoch: [55][1550/14090]	Time 0.740 (0.752)	Data 0.001 (0.004)	Loss 2.2129 (2.1520)	Prec@1 45.312 (45.573)	Prec@5 76.562 (76.028)
Epoch: [55][1560/14090]	Time 0.743 (0.752)	Data 0.001 (0.004)	Loss 2.2312 (2.1519)	Prec@1 44.531 (45.568)	Prec@5 73.438 (76.023)
Epoch: [55][1570/14090]	Time 0.753 (0.752)	Data 0.003 (0.004)	Loss 2.2134 (2.1526)	Prec@1 45.312 (45.557)	Prec@5 78.906 (76.009)
Epoch: [55][1580/14090]	Time 0.773 (0.752)	Data 0.002 (0.004)	Loss 2.3517 (2.1529)	Prec@1 41.406 (45.553)	Prec@5 75.000 (76.005)
Epoch: [55][1590/14090]	Time 0.733 (0.752)	Data 0.001 (0.004)	Loss 2.1821 (2.1535)	Prec@1 41.406 (45.546)	Prec@5 80.469 (76.000)
Epoch: [55][1600/14090]	Time 0.769 (0.752)	Data 0.001 (0.004)	Loss 2.2401 (2.1533)	Prec@1 41.406 (45.545)	Prec@5 71.875 (76.002)
Epoch: [55][1610/14090]	Time 0.744 (0.752)	Data 0.001 (0.004)	Loss 2.5906 (2.1537)	Prec@1 32.031 (45.541)	Prec@5 67.969 (75.997)
Epoch: [55][1620/14090]	Time 0.744 (0.752)	Data 0.001 (0.004)	Loss 2.3944 (2.1538)	Prec@1 41.406 (45.538)	Prec@5 68.750 (75.999)
Epoch: [55][1630/14090]	Time 0.761 (0.752)	Data 0.001 (0.004)	Loss 2.3054 (2.1537)	Prec@1 39.844 (45.537)	Prec@5 74.219 (75.998)
Epoch: [55][1640/14090]	Time 0.745 (0.752)	Data 0.001 (0.004)	Loss 2.0552 (2.1541)	Prec@1 40.625 (45.537)	Prec@5 79.688 (75.997)
Epoch: [55][1650/14090]	Time 0.745 (0.752)	Data 0.002 (0.004)	Loss 2.1671 (2.1540)	Prec@1 44.531 (45.536)	Prec@5 77.344 (76.003)
Epoch: [55][1660/14090]	Time 0.730 (0.752)	Data 0.001 (0.004)	Loss 2.2120 (2.1540)	Prec@1 46.094 (45.541)	Prec@5 76.562 (76.014)
Epoch: [55][1670/14090]	Time 0.755 (0.752)	Data 0.001 (0.004)	Loss 1.8580 (2.1540)	Prec@1 50.781 (45.538)	Prec@5 83.594 (76.019)
Epoch: [55][1680/14090]	Time 0.723 (0.752)	Data 0.001 (0.004)	Loss 2.1923 (2.1537)	Prec@1 44.531 (45.547)	Prec@5 75.000 (76.021)
Epoch: [55][1690/14090]	Time 0.764 (0.752)	Data 0.001 (0.004)	Loss 2.2785 (2.1541)	Prec@1 41.406 (45.534)	Prec@5 76.562 (76.019)
Epoch: [55][1700/14090]	Time 0.764 (0.752)	Data 0.001 (0.004)	Loss 2.1949 (2.1542)	Prec@1 44.531 (45.540)	Prec@5 79.688 (76.018)
Epoch: [55][1710/14090]	Time 0.727 (0.752)	Data 0.001 (0.004)	Loss 2.0246 (2.1547)	Prec@1 48.438 (45.533)	Prec@5 73.438 (76.010)
Epoch: [55][1720/14090]	Time 0.765 (0.752)	Data 0.002 (0.004)	Loss 2.2467 (2.1552)	Prec@1 46.094 (45.522)	Prec@5 73.438 (76.002)
Epoch: [55][1730/14090]	Time 0.752 (0.752)	Data 0.001 (0.004)	Loss 2.1955 (2.1556)	Prec@1 45.312 (45.517)	Prec@5 72.656 (75.992)
Epoch: [55][1740/14090]	Time 0.746 (0.752)	Data 0.001 (0.004)	Loss 2.1799 (2.1557)	Prec@1 45.312 (45.522)	Prec@5 73.438 (75.992)
Epoch: [55][1750/14090]	Time 0.757 (0.752)	Data 0.003 (0.004)	Loss 2.2373 (2.1561)	Prec@1 43.750 (45.517)	Prec@5 71.875 (75.981)
Epoch: [55][1760/14090]	Time 0.802 (0.752)	Data 0.001 (0.004)	Loss 1.8675 (2.1563)	Prec@1 53.906 (45.520)	Prec@5 82.031 (75.974)
Epoch: [55][1770/14090]	Time 0.740 (0.752)	Data 0.001 (0.004)	Loss 2.1388 (2.1559)	Prec@1 46.094 (45.533)	Prec@5 75.781 (75.973)
Epoch: [55][1780/14090]	Time 0.737 (0.752)	Data 0.001 (0.004)	Loss 2.1771 (2.1560)	Prec@1 46.094 (45.526)	Prec@5 77.344 (75.972)
Epoch: [55][1790/14090]	Time 0.755 (0.752)	Data 0.002 (0.004)	Loss 2.3973 (2.1561)	Prec@1 38.281 (45.528)	Prec@5 73.438 (75.970)
Epoch: [55][1800/14090]	Time 0.724 (0.752)	Data 0.001 (0.004)	Loss 2.0805 (2.1552)	Prec@1 42.188 (45.535)	Prec@5 78.125 (75.985)
Epoch: [55][1810/14090]	Time 0.765 (0.752)	Data 0.001 (0.004)	Loss 2.2355 (2.1558)	Prec@1 40.625 (45.521)	Prec@5 79.688 (75.984)
Epoch: [55][1820/14090]	Time 0.743 (0.752)	Data 0.001 (0.004)	Loss 2.2719 (2.1558)	Prec@1 46.875 (45.527)	Prec@5 72.656 (75.978)
Epoch: [55][1830/14090]	Time 0.781 (0.752)	Data 0.001 (0.004)	Loss 2.2482 (2.1563)	Prec@1 42.969 (45.521)	Prec@5 70.312 (75.965)
Epoch: [55][1840/14090]	Time 0.759 (0.752)	Data 0.001 (0.004)	Loss 2.0784 (2.1564)	Prec@1 46.094 (45.520)	Prec@5 78.125 (75.963)
Epoch: [55][1850/14090]	Time 0.745 (0.752)	Data 0.001 (0.004)	Loss 1.8824 (2.1567)	Prec@1 55.469 (45.521)	Prec@5 79.688 (75.959)
Epoch: [55][1860/14090]	Time 0.756 (0.752)	Data 0.002 (0.004)	Loss 2.5267 (2.1573)	Prec@1 42.188 (45.511)	Prec@5 67.969 (75.945)
Epoch: [55][1870/14090]	Time 0.724 (0.752)	Data 0.001 (0.004)	Loss 2.2847 (2.1571)	Prec@1 42.969 (45.526)	Prec@5 73.438 (75.936)
Epoch: [55][1880/14090]	Time 0.729 (0.752)	Data 0.001 (0.004)	Loss 1.8839 (2.1573)	Prec@1 51.562 (45.524)	Prec@5 81.250 (75.931)
Epoch: [55][1890/14090]	Time 0.737 (0.752)	Data 0.001 (0.004)	Loss 2.2400 (2.1573)	Prec@1 40.625 (45.523)	Prec@5 75.781 (75.930)
Epoch: [55][1900/14090]	Time 0.732 (0.752)	Data 0.001 (0.004)	Loss 2.3488 (2.1574)	Prec@1 39.844 (45.513)	Prec@5 71.875 (75.931)
Epoch: [55][1910/14090]	Time 0.758 (0.752)	Data 0.001 (0.004)	Loss 2.0874 (2.1574)	Prec@1 39.844 (45.508)	Prec@5 81.250 (75.937)
Epoch: [55][1920/14090]	Time 0.756 (0.752)	Data 0.001 (0.004)	Loss 2.0571 (2.1575)	Prec@1 42.969 (45.498)	Prec@5 79.688 (75.937)
Epoch: [55][1930/14090]	Time 0.731 (0.752)	Data 0.002 (0.004)	Loss 2.0913 (2.1570)	Prec@1 46.875 (45.516)	Prec@5 78.125 (75.952)
Epoch: [55][1940/14090]	Time 0.761 (0.752)	Data 0.001 (0.004)	Loss 2.1975 (2.1570)	Prec@1 46.875 (45.512)	Prec@5 71.875 (75.952)
Epoch: [55][1950/14090]	Time 0.740 (0.752)	Data 0.001 (0.004)	Loss 2.4785 (2.1571)	Prec@1 39.844 (45.510)	Prec@5 67.188 (75.947)
Epoch: [55][1960/14090]	Time 0.736 (0.752)	Data 0.001 (0.004)	Loss 2.2661 (2.1572)	Prec@1 39.844 (45.505)	Prec@5 73.438 (75.947)
Epoch: [55][1970/14090]	Time 0.747 (0.752)	Data 0.001 (0.004)	Loss 2.1456 (2.1569)	Prec@1 47.656 (45.515)	Prec@5 71.875 (75.949)
Epoch: [55][1980/14090]	Time 0.754 (0.752)	Data 0.001 (0.004)	Loss 2.2706 (2.1574)	Prec@1 46.094 (45.514)	Prec@5 78.906 (75.945)
Epoch: [55][1990/14090]	Time 0.737 (0.751)	Data 0.001 (0.004)	Loss 2.1743 (2.1577)	Prec@1 42.969 (45.513)	Prec@5 76.562 (75.934)
Epoch: [55][2000/14090]	Time 0.734 (0.751)	Data 0.002 (0.004)	Loss 2.2487 (2.1580)	Prec@1 40.625 (45.497)	Prec@5 75.781 (75.927)
Epoch: [55][2010/14090]	Time 0.752 (0.751)	Data 0.001 (0.004)	Loss 2.0166 (2.1584)	Prec@1 46.094 (45.492)	Prec@5 75.781 (75.917)
Epoch: [55][2020/14090]	Time 0.760 (0.751)	Data 0.001 (0.004)	Loss 2.0689 (2.1583)	Prec@1 44.531 (45.497)	Prec@5 77.344 (75.913)
Epoch: [55][2030/14090]	Time 0.764 (0.751)	Data 0.001 (0.004)	Loss 2.1825 (2.1587)	Prec@1 53.125 (45.486)	Prec@5 74.219 (75.909)
Epoch: [55][2040/14090]	Time 0.732 (0.751)	Data 0.001 (0.004)	Loss 2.2478 (2.1583)	Prec@1 43.750 (45.494)	Prec@5 74.219 (75.915)
Epoch: [55][2050/14090]	Time 0.751 (0.751)	Data 0.001 (0.004)	Loss 1.9799 (2.1582)	Prec@1 42.188 (45.496)	Prec@5 79.688 (75.914)
Epoch: [55][2060/14090]	Time 0.731 (0.751)	Data 0.001 (0.004)	Loss 1.9318 (2.1578)	Prec@1 49.219 (45.506)	Prec@5 80.469 (75.922)
Epoch: [55][2070/14090]	Time 0.763 (0.751)	Data 0.002 (0.004)	Loss 2.3147 (2.1577)	Prec@1 39.844 (45.512)	Prec@5 72.656 (75.918)
Epoch: [55][2080/14090]	Time 0.744 (0.751)	Data 0.001 (0.004)	Loss 2.0271 (2.1580)	Prec@1 47.656 (45.508)	Prec@5 78.906 (75.909)
Epoch: [55][2090/14090]	Time 0.731 (0.751)	Data 0.001 (0.004)	Loss 2.4068 (2.1580)	Prec@1 40.625 (45.506)	Prec@5 67.188 (75.914)
Epoch: [55][2100/14090]	Time 0.738 (0.751)	Data 0.001 (0.004)	Loss 2.1431 (2.1584)	Prec@1 49.219 (45.492)	Prec@5 77.344 (75.908)
Epoch: [55][2110/14090]	Time 0.748 (0.751)	Data 0.001 (0.004)	Loss 2.1853 (2.1584)	Prec@1 43.750 (45.488)	Prec@5 81.250 (75.911)
Epoch: [55][2120/14090]	Time 0.728 (0.751)	Data 0.001 (0.003)	Loss 2.0204 (2.1583)	Prec@1 50.781 (45.494)	Prec@5 76.562 (75.913)
Epoch: [55][2130/14090]	Time 0.725 (0.751)	Data 0.001 (0.003)	Loss 2.2905 (2.1584)	Prec@1 42.188 (45.494)	Prec@5 75.781 (75.910)
Epoch: [55][2140/14090]	Time 0.725 (0.751)	Data 0.002 (0.003)	Loss 2.2118 (2.1587)	Prec@1 45.312 (45.488)	Prec@5 76.562 (75.902)
Epoch: [55][2150/14090]	Time 0.737 (0.751)	Data 0.001 (0.003)	Loss 1.7970 (2.1591)	Prec@1 50.781 (45.480)	Prec@5 80.469 (75.895)
Epoch: [55][2160/14090]	Time 0.782 (0.751)	Data 0.001 (0.003)	Loss 2.2331 (2.1593)	Prec@1 45.312 (45.474)	Prec@5 74.219 (75.890)
Epoch: [55][2170/14090]	Time 0.756 (0.751)	Data 0.001 (0.003)	Loss 2.0287 (2.1592)	Prec@1 41.406 (45.470)	Prec@5 78.906 (75.899)
Epoch: [55][2180/14090]	Time 0.728 (0.751)	Data 0.001 (0.003)	Loss 2.0803 (2.1593)	Prec@1 46.094 (45.466)	Prec@5 78.906 (75.898)
Epoch: [55][2190/14090]	Time 0.758 (0.751)	Data 0.001 (0.003)	Loss 2.3621 (2.1591)	Prec@1 44.531 (45.470)	Prec@5 71.094 (75.900)
Epoch: [55][2200/14090]	Time 0.767 (0.751)	Data 0.001 (0.003)	Loss 2.1361 (2.1594)	Prec@1 47.656 (45.472)	Prec@5 78.906 (75.893)
Epoch: [55][2210/14090]	Time 0.767 (0.751)	Data 0.002 (0.003)	Loss 2.0301 (2.1591)	Prec@1 51.562 (45.472)	Prec@5 81.250 (75.897)
Epoch: [55][2220/14090]	Time 0.732 (0.751)	Data 0.001 (0.003)	Loss 2.0333 (2.1589)	Prec@1 48.438 (45.467)	Prec@5 78.125 (75.904)
Epoch: [55][2230/14090]	Time 0.735 (0.751)	Data 0.001 (0.003)	Loss 2.3815 (2.1593)	Prec@1 38.281 (45.463)	Prec@5 73.438 (75.892)
Epoch: [55][2240/14090]	Time 0.745 (0.751)	Data 0.001 (0.003)	Loss 2.3430 (2.1594)	Prec@1 42.969 (45.458)	Prec@5 75.000 (75.890)
Epoch: [55][2250/14090]	Time 0.745 (0.751)	Data 0.001 (0.003)	Loss 2.3901 (2.1593)	Prec@1 39.844 (45.459)	Prec@5 72.656 (75.886)
Epoch: [55][2260/14090]	Time 0.775 (0.751)	Data 0.001 (0.003)	Loss 2.0304 (2.1593)	Prec@1 47.656 (45.459)	Prec@5 79.688 (75.891)
Epoch: [55][2270/14090]	Time 0.756 (0.751)	Data 0.001 (0.003)	Loss 2.1312 (2.1590)	Prec@1 42.969 (45.462)	Prec@5 78.125 (75.896)
Epoch: [55][2280/14090]	Time 0.774 (0.751)	Data 0.003 (0.003)	Loss 2.2545 (2.1588)	Prec@1 46.094 (45.459)	Prec@5 78.125 (75.899)
Epoch: [55][2290/14090]	Time 0.760 (0.751)	Data 0.001 (0.003)	Loss 1.9931 (2.1586)	Prec@1 48.438 (45.460)	Prec@5 79.688 (75.904)
Epoch: [55][2300/14090]	Time 0.760 (0.751)	Data 0.001 (0.003)	Loss 2.2156 (2.1588)	Prec@1 45.312 (45.454)	Prec@5 74.219 (75.896)
Epoch: [55][2310/14090]	Time 0.731 (0.751)	Data 0.001 (0.003)	Loss 2.0489 (2.1586)	Prec@1 51.562 (45.459)	Prec@5 78.125 (75.899)
Epoch: [55][2320/14090]	Time 0.740 (0.751)	Data 0.001 (0.003)	Loss 2.4327 (2.1586)	Prec@1 37.500 (45.456)	Prec@5 70.312 (75.899)
Epoch: [55][2330/14090]	Time 0.744 (0.751)	Data 0.001 (0.003)	Loss 2.1466 (2.1586)	Prec@1 42.969 (45.458)	Prec@5 77.344 (75.896)
Epoch: [55][2340/14090]	Time 0.755 (0.751)	Data 0.001 (0.003)	Loss 2.0712 (2.1585)	Prec@1 46.094 (45.447)	Prec@5 74.219 (75.898)
Epoch: [55][2350/14090]	Time 0.759 (0.751)	Data 0.002 (0.003)	Loss 2.0754 (2.1586)	Prec@1 48.438 (45.449)	Prec@5 76.562 (75.895)
Epoch: [55][2360/14090]	Time 0.737 (0.751)	Data 0.001 (0.003)	Loss 2.2879 (2.1589)	Prec@1 42.969 (45.444)	Prec@5 74.219 (75.892)
Epoch: [55][2370/14090]	Time 0.737 (0.751)	Data 0.001 (0.003)	Loss 2.1958 (2.1590)	Prec@1 43.750 (45.448)	Prec@5 72.656 (75.889)
Epoch: [55][2380/14090]	Time 0.776 (0.751)	Data 0.001 (0.003)	Loss 2.0589 (2.1588)	Prec@1 41.406 (45.451)	Prec@5 78.906 (75.891)
Epoch: [55][2390/14090]	Time 0.767 (0.751)	Data 0.003 (0.003)	Loss 1.8127 (2.1585)	Prec@1 52.344 (45.457)	Prec@5 82.031 (75.900)
Epoch: [55][2400/14090]	Time 0.738 (0.751)	Data 0.001 (0.003)	Loss 2.5221 (2.1588)	Prec@1 40.625 (45.452)	Prec@5 70.312 (75.899)
Epoch: [55][2410/14090]	Time 0.738 (0.751)	Data 0.001 (0.003)	Loss 2.0362 (2.1591)	Prec@1 53.125 (45.447)	Prec@5 74.219 (75.896)
Epoch: [55][2420/14090]	Time 0.735 (0.751)	Data 0.002 (0.003)	Loss 2.2224 (2.1591)	Prec@1 46.094 (45.449)	Prec@5 73.438 (75.899)
Epoch: [55][2430/14090]	Time 0.751 (0.751)	Data 0.001 (0.003)	Loss 2.2913 (2.1593)	Prec@1 39.844 (45.445)	Prec@5 71.875 (75.890)
Epoch: [55][2440/14090]	Time 0.767 (0.751)	Data 0.001 (0.003)	Loss 2.1133 (2.1592)	Prec@1 43.750 (45.447)	Prec@5 76.562 (75.897)
Epoch: [55][2450/14090]	Time 0.743 (0.751)	Data 0.001 (0.003)	Loss 2.1087 (2.1594)	Prec@1 45.312 (45.440)	Prec@5 79.688 (75.897)
Epoch: [55][2460/14090]	Time 0.737 (0.751)	Data 0.001 (0.003)	Loss 2.2076 (2.1596)	Prec@1 45.312 (45.435)	Prec@5 77.344 (75.896)
Epoch: [55][2470/14090]	Time 0.755 (0.751)	Data 0.001 (0.003)	Loss 2.0408 (2.1597)	Prec@1 48.438 (45.435)	Prec@5 75.781 (75.897)
Epoch: [55][2480/14090]	Time 0.736 (0.751)	Data 0.001 (0.003)	Loss 2.3732 (2.1600)	Prec@1 48.438 (45.432)	Prec@5 71.875 (75.893)
Epoch: [55][2490/14090]	Time 0.741 (0.751)	Data 0.002 (0.003)	Loss 2.1792 (2.1600)	Prec@1 47.656 (45.433)	Prec@5 74.219 (75.898)
Epoch: [55][2500/14090]	Time 0.743 (0.751)	Data 0.001 (0.003)	Loss 2.3561 (2.1598)	Prec@1 42.188 (45.431)	Prec@5 71.875 (75.900)
Epoch: [55][2510/14090]	Time 0.749 (0.751)	Data 0.001 (0.003)	Loss 2.2376 (2.1600)	Prec@1 42.969 (45.429)	Prec@5 75.000 (75.897)
Epoch: [55][2520/14090]	Time 0.753 (0.751)	Data 0.001 (0.003)	Loss 2.1916 (2.1599)	Prec@1 45.312 (45.427)	Prec@5 76.562 (75.899)
Epoch: [55][2530/14090]	Time 0.750 (0.751)	Data 0.001 (0.003)	Loss 2.0567 (2.1599)	Prec@1 42.969 (45.432)	Prec@5 77.344 (75.902)
Epoch: [55][2540/14090]	Time 0.751 (0.751)	Data 0.001 (0.003)	Loss 2.0078 (2.1597)	Prec@1 43.750 (45.435)	Prec@5 82.812 (75.909)
Epoch: [55][2550/14090]	Time 0.728 (0.751)	Data 0.001 (0.003)	Loss 2.2639 (2.1598)	Prec@1 39.844 (45.429)	Prec@5 75.781 (75.906)
Epoch: [55][2560/14090]	Time 0.755 (0.751)	Data 0.002 (0.003)	Loss 2.1590 (2.1598)	Prec@1 46.094 (45.431)	Prec@5 75.781 (75.908)
Epoch: [55][2570/14090]	Time 0.759 (0.751)	Data 0.001 (0.003)	Loss 2.0321 (2.1596)	Prec@1 49.219 (45.434)	Prec@5 73.438 (75.913)
Epoch: [55][2580/14090]	Time 0.734 (0.751)	Data 0.001 (0.003)	Loss 2.2767 (2.1599)	Prec@1 42.969 (45.424)	Prec@5 72.656 (75.904)
Epoch: [55][2590/14090]	Time 0.761 (0.751)	Data 0.001 (0.003)	Loss 2.3592 (2.1599)	Prec@1 41.406 (45.427)	Prec@5 71.875 (75.905)
Epoch: [55][2600/14090]	Time 0.762 (0.751)	Data 0.001 (0.003)	Loss 2.5569 (2.1599)	Prec@1 30.469 (45.422)	Prec@5 72.656 (75.910)
Epoch: [55][2610/14090]	Time 0.774 (0.751)	Data 0.001 (0.003)	Loss 2.2062 (2.1600)	Prec@1 44.531 (45.418)	Prec@5 72.656 (75.911)
Epoch: [55][2620/14090]	Time 0.738 (0.751)	Data 0.001 (0.003)	Loss 2.3161 (2.1601)	Prec@1 36.719 (45.413)	Prec@5 75.781 (75.908)
Epoch: [55][2630/14090]	Time 0.728 (0.751)	Data 0.002 (0.003)	Loss 2.4818 (2.1604)	Prec@1 43.750 (45.410)	Prec@5 71.875 (75.903)
Epoch: [55][2640/14090]	Time 0.772 (0.751)	Data 0.001 (0.003)	Loss 2.1586 (2.1605)	Prec@1 38.281 (45.407)	Prec@5 75.781 (75.903)
Epoch: [55][2650/14090]	Time 0.745 (0.751)	Data 0.001 (0.003)	Loss 2.2843 (2.1604)	Prec@1 36.719 (45.399)	Prec@5 75.781 (75.909)
Epoch: [55][2660/14090]	Time 0.756 (0.751)	Data 0.001 (0.003)	Loss 2.3542 (2.1606)	Prec@1 46.875 (45.401)	Prec@5 71.875 (75.904)
Epoch: [55][2670/14090]	Time 0.767 (0.751)	Data 0.001 (0.003)	Loss 1.9844 (2.1607)	Prec@1 54.688 (45.404)	Prec@5 77.344 (75.898)
Epoch: [55][2680/14090]	Time 0.747 (0.751)	Data 0.001 (0.003)	Loss 2.1993 (2.1606)	Prec@1 41.406 (45.410)	Prec@5 75.781 (75.899)
Epoch: [55][2690/14090]	Time 0.757 (0.751)	Data 0.001 (0.003)	Loss 2.0355 (2.1607)	Prec@1 47.656 (45.404)	Prec@5 77.344 (75.897)
Epoch: [55][2700/14090]	Time 0.747 (0.751)	Data 0.002 (0.003)	Loss 2.2343 (2.1608)	Prec@1 46.094 (45.406)	Prec@5 77.344 (75.895)
Epoch: [55][2710/14090]	Time 0.727 (0.751)	Data 0.001 (0.003)	Loss 2.1895 (2.1606)	Prec@1 42.188 (45.406)	Prec@5 72.656 (75.898)
Epoch: [55][2720/14090]	Time 0.736 (0.751)	Data 0.001 (0.003)	Loss 2.2145 (2.1607)	Prec@1 38.281 (45.402)	Prec@5 76.562 (75.898)
Epoch: [55][2730/14090]	Time 0.750 (0.751)	Data 0.001 (0.003)	Loss 2.2363 (2.1607)	Prec@1 45.312 (45.407)	Prec@5 76.562 (75.897)
Epoch: [55][2740/14090]	Time 0.760 (0.751)	Data 0.001 (0.003)	Loss 2.2639 (2.1608)	Prec@1 40.625 (45.402)	Prec@5 75.000 (75.895)
Epoch: [55][2750/14090]	Time 0.727 (0.751)	Data 0.001 (0.003)	Loss 2.0770 (2.1606)	Prec@1 48.438 (45.403)	Prec@5 78.906 (75.898)
Epoch: [55][2760/14090]	Time 0.757 (0.751)	Data 0.001 (0.003)	Loss 2.0446 (2.1607)	Prec@1 53.906 (45.401)	Prec@5 79.688 (75.896)
Epoch: [55][2770/14090]	Time 0.741 (0.751)	Data 0.003 (0.003)	Loss 1.8172 (2.1608)	Prec@1 49.219 (45.395)	Prec@5 84.375 (75.901)
Epoch: [55][2780/14090]	Time 0.761 (0.751)	Data 0.001 (0.003)	Loss 2.1341 (2.1607)	Prec@1 46.875 (45.394)	Prec@5 75.781 (75.899)
Epoch: [55][2790/14090]	Time 0.746 (0.751)	Data 0.001 (0.003)	Loss 2.2449 (2.1609)	Prec@1 47.656 (45.386)	Prec@5 74.219 (75.898)
Epoch: [55][2800/14090]	Time 0.729 (0.751)	Data 0.001 (0.003)	Loss 2.3166 (2.1610)	Prec@1 42.188 (45.384)	Prec@5 75.000 (75.895)
Epoch: [55][2810/14090]	Time 0.725 (0.751)	Data 0.001 (0.003)	Loss 2.3792 (2.1613)	Prec@1 42.969 (45.374)	Prec@5 72.656 (75.893)
Epoch: [55][2820/14090]	Time 0.759 (0.751)	Data 0.001 (0.003)	Loss 1.9651 (2.1613)	Prec@1 46.875 (45.376)	Prec@5 79.688 (75.896)
Epoch: [55][2830/14090]	Time 0.752 (0.751)	Data 0.001 (0.003)	Loss 2.4721 (2.1613)	Prec@1 39.844 (45.379)	Prec@5 71.875 (75.894)
Epoch: [55][2840/14090]	Time 0.746 (0.751)	Data 0.002 (0.003)	Loss 2.1765 (2.1616)	Prec@1 47.656 (45.375)	Prec@5 74.219 (75.887)
Epoch: [55][2850/14090]	Time 0.757 (0.751)	Data 0.001 (0.003)	Loss 2.0700 (2.1619)	Prec@1 43.750 (45.369)	Prec@5 77.344 (75.886)
Epoch: [55][2860/14090]	Time 0.762 (0.751)	Data 0.001 (0.003)	Loss 2.1156 (2.1618)	Prec@1 42.188 (45.372)	Prec@5 78.125 (75.888)
Epoch: [55][2870/14090]	Time 0.748 (0.751)	Data 0.001 (0.003)	Loss 1.7800 (2.1615)	Prec@1 53.906 (45.381)	Prec@5 85.156 (75.892)
Epoch: [55][2880/14090]	Time 0.753 (0.751)	Data 0.001 (0.003)	Loss 1.6218 (2.1611)	Prec@1 57.031 (45.391)	Prec@5 85.156 (75.898)
Epoch: [55][2890/14090]	Time 0.754 (0.751)	Data 0.001 (0.003)	Loss 2.0028 (2.1612)	Prec@1 57.031 (45.392)	Prec@5 79.688 (75.902)
Epoch: [55][2900/14090]	Time 0.743 (0.751)	Data 0.001 (0.003)	Loss 1.9534 (2.1613)	Prec@1 47.656 (45.394)	Prec@5 78.906 (75.899)
Epoch: [55][2910/14090]	Time 0.777 (0.751)	Data 0.002 (0.003)	Loss 2.0438 (2.1615)	Prec@1 55.469 (45.395)	Prec@5 76.562 (75.893)
Epoch: [55][2920/14090]	Time 0.732 (0.751)	Data 0.001 (0.003)	Loss 1.9141 (2.1614)	Prec@1 46.875 (45.393)	Prec@5 76.562 (75.890)
Epoch: [55][2930/14090]	Time 0.733 (0.751)	Data 0.001 (0.003)	Loss 2.2885 (2.1615)	Prec@1 44.531 (45.390)	Prec@5 72.656 (75.886)
Epoch: [55][2940/14090]	Time 0.754 (0.751)	Data 0.001 (0.003)	Loss 2.1778 (2.1616)	Prec@1 44.531 (45.387)	Prec@5 81.250 (75.891)
Epoch: [55][2950/14090]	Time 0.754 (0.751)	Data 0.001 (0.003)	Loss 2.1368 (2.1614)	Prec@1 47.656 (45.389)	Prec@5 75.781 (75.898)
Epoch: [55][2960/14090]	Time 0.756 (0.751)	Data 0.001 (0.003)	Loss 2.0963 (2.1614)	Prec@1 44.531 (45.389)	Prec@5 75.000 (75.893)
Epoch: [55][2970/14090]	Time 0.727 (0.751)	Data 0.001 (0.003)	Loss 2.0356 (2.1615)	Prec@1 47.656 (45.387)	Prec@5 79.688 (75.892)
Epoch: [55][2980/14090]	Time 0.752 (0.751)	Data 0.002 (0.003)	Loss 2.3327 (2.1616)	Prec@1 39.062 (45.379)	Prec@5 71.094 (75.889)
Epoch: [55][2990/14090]	Time 0.776 (0.751)	Data 0.001 (0.003)	Loss 2.0253 (2.1614)	Prec@1 46.875 (45.381)	Prec@5 78.906 (75.892)
Epoch: [55][3000/14090]	Time 0.788 (0.751)	Data 0.001 (0.003)	Loss 2.3126 (2.1617)	Prec@1 46.875 (45.377)	Prec@5 74.219 (75.885)
Epoch: [55][3010/14090]	Time 0.742 (0.751)	Data 0.001 (0.003)	Loss 2.1523 (2.1617)	Prec@1 49.219 (45.379)	Prec@5 73.438 (75.884)
Epoch: [55][3020/14090]	Time 0.742 (0.751)	Data 0.001 (0.003)	Loss 2.7886 (2.1623)	Prec@1 31.250 (45.372)	Prec@5 64.844 (75.872)
Epoch: [55][3030/14090]	Time 0.761 (0.751)	Data 0.001 (0.003)	Loss 2.0140 (2.1624)	Prec@1 42.969 (45.373)	Prec@5 78.906 (75.867)
Epoch: [55][3040/14090]	Time 0.756 (0.751)	Data 0.003 (0.003)	Loss 2.1672 (2.1624)	Prec@1 49.219 (45.376)	Prec@5 75.781 (75.867)
Epoch: [55][3050/14090]	Time 0.756 (0.751)	Data 0.002 (0.003)	Loss 1.9846 (2.1625)	Prec@1 46.875 (45.368)	Prec@5 79.688 (75.865)
Epoch: [55][3060/14090]	Time 0.734 (0.751)	Data 0.001 (0.003)	Loss 2.3286 (2.1625)	Prec@1 37.500 (45.365)	Prec@5 71.875 (75.868)
Epoch: [55][3070/14090]	Time 0.772 (0.751)	Data 0.001 (0.003)	Loss 2.0550 (2.1625)	Prec@1 48.438 (45.364)	Prec@5 73.438 (75.864)
Epoch: [55][3080/14090]	Time 0.738 (0.751)	Data 0.001 (0.003)	Loss 2.1620 (2.1625)	Prec@1 45.312 (45.357)	Prec@5 78.125 (75.865)
Epoch: [55][3090/14090]	Time 0.747 (0.751)	Data 0.001 (0.003)	Loss 2.3782 (2.1628)	Prec@1 39.062 (45.347)	Prec@5 73.438 (75.865)
Epoch: [55][3100/14090]	Time 0.727 (0.751)	Data 0.001 (0.003)	Loss 1.9266 (2.1627)	Prec@1 53.906 (45.355)	Prec@5 82.031 (75.865)
Epoch: [55][3110/14090]	Time 0.734 (0.751)	Data 0.001 (0.003)	Loss 2.0298 (2.1626)	Prec@1 46.094 (45.351)	Prec@5 76.562 (75.866)
Epoch: [55][3120/14090]	Time 0.768 (0.751)	Data 0.002 (0.003)	Loss 2.2759 (2.1626)	Prec@1 45.312 (45.357)	Prec@5 72.656 (75.862)
Epoch: [55][3130/14090]	Time 0.748 (0.751)	Data 0.001 (0.003)	Loss 2.3222 (2.1630)	Prec@1 41.406 (45.349)	Prec@5 72.656 (75.855)
Epoch: [55][3140/14090]	Time 0.748 (0.751)	Data 0.001 (0.003)	Loss 2.3363 (2.1633)	Prec@1 42.188 (45.340)	Prec@5 70.312 (75.845)
Epoch: [55][3150/14090]	Time 0.757 (0.751)	Data 0.002 (0.003)	Loss 1.7460 (2.1632)	Prec@1 54.688 (45.340)	Prec@5 81.250 (75.846)
Epoch: [55][3160/14090]	Time 0.773 (0.751)	Data 0.001 (0.003)	Loss 2.0359 (2.1632)	Prec@1 38.281 (45.338)	Prec@5 80.469 (75.845)
Epoch: [55][3170/14090]	Time 0.741 (0.751)	Data 0.001 (0.003)	Loss 1.9887 (2.1632)	Prec@1 52.344 (45.334)	Prec@5 79.688 (75.848)
Epoch: [55][3180/14090]	Time 0.757 (0.751)	Data 0.001 (0.003)	Loss 2.3832 (2.1632)	Prec@1 34.375 (45.331)	Prec@5 71.875 (75.851)
Epoch: [55][3190/14090]	Time 0.761 (0.751)	Data 0.002 (0.003)	Loss 2.1479 (2.1631)	Prec@1 44.531 (45.335)	Prec@5 75.781 (75.852)
Epoch: [55][3200/14090]	Time 0.728 (0.751)	Data 0.001 (0.003)	Loss 2.0289 (2.1631)	Prec@1 42.969 (45.332)	Prec@5 77.344 (75.855)
Epoch: [55][3210/14090]	Time 0.737 (0.751)	Data 0.001 (0.003)	Loss 2.1456 (2.1631)	Prec@1 46.094 (45.324)	Prec@5 78.906 (75.861)
Epoch: [55][3220/14090]	Time 0.749 (0.751)	Data 0.001 (0.003)	Loss 1.9254 (2.1629)	Prec@1 49.219 (45.333)	Prec@5 81.250 (75.865)
Epoch: [55][3230/14090]	Time 0.752 (0.751)	Data 0.001 (0.003)	Loss 2.2202 (2.1630)	Prec@1 46.094 (45.331)	Prec@5 75.781 (75.865)
Epoch: [55][3240/14090]	Time 0.751 (0.751)	Data 0.001 (0.003)	Loss 2.1475 (2.1629)	Prec@1 40.625 (45.330)	Prec@5 78.125 (75.864)
Epoch: [55][3250/14090]	Time 0.734 (0.751)	Data 0.001 (0.003)	Loss 2.2299 (2.1626)	Prec@1 42.188 (45.339)	Prec@5 73.438 (75.869)
Epoch: [55][3260/14090]	Time 0.771 (0.751)	Data 0.002 (0.003)	Loss 2.2473 (2.1629)	Prec@1 43.750 (45.335)	Prec@5 77.344 (75.862)
Epoch: [55][3270/14090]	Time 0.725 (0.751)	Data 0.001 (0.003)	Loss 2.0866 (2.1629)	Prec@1 50.000 (45.331)	Prec@5 77.344 (75.861)
Epoch: [55][3280/14090]	Time 0.744 (0.750)	Data 0.001 (0.003)	Loss 2.0859 (2.1628)	Prec@1 46.875 (45.332)	Prec@5 75.000 (75.862)
Epoch: [55][3290/14090]	Time 0.780 (0.750)	Data 0.001 (0.003)	Loss 1.9719 (2.1631)	Prec@1 50.000 (45.323)	Prec@5 78.906 (75.860)
Epoch: [55][3300/14090]	Time 0.750 (0.750)	Data 0.001 (0.003)	Loss 1.8490 (2.1631)	Prec@1 49.219 (45.321)	Prec@5 81.250 (75.860)
Epoch: [55][3310/14090]	Time 0.762 (0.750)	Data 0.002 (0.003)	Loss 1.9709 (2.1630)	Prec@1 52.344 (45.326)	Prec@5 79.688 (75.857)
Epoch: [55][3320/14090]	Time 0.797 (0.750)	Data 0.001 (0.003)	Loss 2.0400 (2.1628)	Prec@1 46.094 (45.326)	Prec@5 77.344 (75.855)
Epoch: [55][3330/14090]	Time 0.757 (0.750)	Data 0.002 (0.003)	Loss 2.0328 (2.1628)	Prec@1 48.438 (45.326)	Prec@5 80.469 (75.856)
Epoch: [55][3340/14090]	Time 0.728 (0.750)	Data 0.001 (0.003)	Loss 2.2662 (2.1628)	Prec@1 47.656 (45.326)	Prec@5 75.781 (75.858)
Epoch: [55][3350/14090]	Time 0.755 (0.750)	Data 0.001 (0.003)	Loss 2.3024 (2.1631)	Prec@1 39.844 (45.321)	Prec@5 74.219 (75.853)
Epoch: [55][3360/14090]	Time 0.745 (0.750)	Data 0.001 (0.003)	Loss 2.0362 (2.1630)	Prec@1 42.969 (45.319)	Prec@5 78.125 (75.851)
Epoch: [55][3370/14090]	Time 0.742 (0.750)	Data 0.001 (0.003)	Loss 2.0574 (2.1631)	Prec@1 44.531 (45.319)	Prec@5 82.031 (75.851)
Epoch: [55][3380/14090]	Time 0.750 (0.750)	Data 0.001 (0.003)	Loss 1.9498 (2.1631)	Prec@1 50.781 (45.317)	Prec@5 78.906 (75.855)
Epoch: [55][3390/14090]	Time 0.743 (0.750)	Data 0.001 (0.003)	Loss 1.9900 (2.1630)	Prec@1 47.656 (45.310)	Prec@5 78.906 (75.855)
Epoch: [55][3400/14090]	Time 0.724 (0.750)	Data 0.002 (0.003)	Loss 2.2655 (2.1632)	Prec@1 42.188 (45.306)	Prec@5 74.219 (75.853)
Epoch: [55][3410/14090]	Time 0.756 (0.750)	Data 0.001 (0.003)	Loss 2.3588 (2.1633)	Prec@1 44.531 (45.299)	Prec@5 75.000 (75.850)
Epoch: [55][3420/14090]	Time 0.738 (0.750)	Data 0.001 (0.003)	Loss 2.2075 (2.1633)	Prec@1 40.625 (45.299)	Prec@5 75.000 (75.853)
Epoch: [55][3430/14090]	Time 0.725 (0.750)	Data 0.001 (0.003)	Loss 1.9962 (2.1632)	Prec@1 50.000 (45.304)	Prec@5 74.219 (75.856)
Epoch: [55][3440/14090]	Time 0.734 (0.750)	Data 0.001 (0.003)	Loss 1.9999 (2.1630)	Prec@1 47.656 (45.310)	Prec@5 80.469 (75.861)
Epoch: [55][3450/14090]	Time 0.754 (0.750)	Data 0.001 (0.003)	Loss 2.2625 (2.1633)	Prec@1 41.406 (45.303)	Prec@5 77.344 (75.852)
Epoch: [55][3460/14090]	Time 0.752 (0.750)	Data 0.001 (0.003)	Loss 2.3800 (2.1634)	Prec@1 39.844 (45.298)	Prec@5 70.312 (75.850)
Epoch: [55][3470/14090]	Time 0.743 (0.750)	Data 0.002 (0.003)	Loss 2.1639 (2.1634)	Prec@1 41.406 (45.298)	Prec@5 77.344 (75.851)
Epoch: [55][3480/14090]	Time 0.753 (0.750)	Data 0.001 (0.003)	Loss 2.2534 (2.1634)	Prec@1 42.969 (45.295)	Prec@5 71.875 (75.854)
Epoch: [55][3490/14090]	Time 0.746 (0.750)	Data 0.001 (0.003)	Loss 2.0969 (2.1635)	Prec@1 42.969 (45.291)	Prec@5 74.219 (75.856)
Epoch: [55][3500/14090]	Time 0.761 (0.750)	Data 0.001 (0.002)	Loss 2.0920 (2.1635)	Prec@1 50.000 (45.294)	Prec@5 75.781 (75.857)
Epoch: [55][3510/14090]	Time 0.785 (0.750)	Data 0.001 (0.002)	Loss 2.2865 (2.1637)	Prec@1 42.969 (45.295)	Prec@5 78.906 (75.858)
Epoch: [55][3520/14090]	Time 0.768 (0.750)	Data 0.001 (0.002)	Loss 2.1999 (2.1639)	Prec@1 42.188 (45.292)	Prec@5 73.438 (75.856)
Epoch: [55][3530/14090]	Time 0.733 (0.750)	Data 0.001 (0.002)	Loss 2.1640 (2.1641)	Prec@1 47.656 (45.287)	Prec@5 77.344 (75.852)
Epoch: [55][3540/14090]	Time 0.758 (0.750)	Data 0.002 (0.002)	Loss 2.2358 (2.1642)	Prec@1 45.312 (45.288)	Prec@5 71.094 (75.853)
Epoch: [55][3550/14090]	Time 0.739 (0.750)	Data 0.001 (0.002)	Loss 2.5572 (2.1644)	Prec@1 39.844 (45.280)	Prec@5 67.188 (75.849)
Epoch: [55][3560/14090]	Time 0.770 (0.750)	Data 0.001 (0.002)	Loss 2.2108 (2.1644)	Prec@1 46.094 (45.278)	Prec@5 71.094 (75.847)
Epoch: [55][3570/14090]	Time 0.742 (0.750)	Data 0.001 (0.002)	Loss 2.2405 (2.1645)	Prec@1 45.312 (45.275)	Prec@5 76.562 (75.850)
Epoch: [55][3580/14090]	Time 0.742 (0.750)	Data 0.001 (0.002)	Loss 2.2163 (2.1643)	Prec@1 47.656 (45.280)	Prec@5 69.531 (75.851)
Epoch: [55][3590/14090]	Time 0.751 (0.750)	Data 0.001 (0.002)	Loss 2.1030 (2.1644)	Prec@1 52.344 (45.280)	Prec@5 77.344 (75.850)
Epoch: [55][3600/14090]	Time 0.747 (0.750)	Data 0.001 (0.002)	Loss 2.1420 (2.1643)	Prec@1 46.094 (45.280)	Prec@5 78.125 (75.848)
Epoch: [55][3610/14090]	Time 0.771 (0.750)	Data 0.002 (0.002)	Loss 2.3084 (2.1645)	Prec@1 39.062 (45.273)	Prec@5 72.656 (75.848)
Epoch: [55][3620/14090]	Time 0.762 (0.750)	Data 0.001 (0.002)	Loss 2.2867 (2.1643)	Prec@1 42.188 (45.275)	Prec@5 74.219 (75.848)
Epoch: [55][3630/14090]	Time 0.739 (0.750)	Data 0.001 (0.002)	Loss 1.9089 (2.1644)	Prec@1 46.094 (45.277)	Prec@5 78.125 (75.846)
Epoch: [55][3640/14090]	Time 0.756 (0.750)	Data 0.001 (0.002)	Loss 2.5110 (2.1648)	Prec@1 41.406 (45.273)	Prec@5 67.188 (75.835)
Epoch: [55][3650/14090]	Time 0.744 (0.750)	Data 0.001 (0.002)	Loss 1.9563 (2.1648)	Prec@1 48.438 (45.270)	Prec@5 83.594 (75.835)
Epoch: [55][3660/14090]	Time 0.746 (0.750)	Data 0.001 (0.002)	Loss 2.4436 (2.1647)	Prec@1 41.406 (45.270)	Prec@5 71.875 (75.838)
Epoch: [55][3670/14090]	Time 0.787 (0.750)	Data 0.001 (0.002)	Loss 2.1192 (2.1648)	Prec@1 46.875 (45.273)	Prec@5 73.438 (75.838)
Epoch: [55][3680/14090]	Time 0.737 (0.750)	Data 0.002 (0.002)	Loss 2.2412 (2.1647)	Prec@1 46.875 (45.275)	Prec@5 74.219 (75.836)
Epoch: [55][3690/14090]	Time 0.757 (0.750)	Data 0.001 (0.002)	Loss 2.4930 (2.1647)	Prec@1 45.312 (45.283)	Prec@5 69.531 (75.837)
Epoch: [55][3700/14090]	Time 0.758 (0.750)	Data 0.001 (0.002)	Loss 2.1534 (2.1646)	Prec@1 44.531 (45.288)	Prec@5 78.906 (75.837)
Epoch: [55][3710/14090]	Time 0.759 (0.750)	Data 0.001 (0.002)	Loss 1.9573 (2.1645)	Prec@1 45.312 (45.290)	Prec@5 78.906 (75.840)
Epoch: [55][3720/14090]	Time 0.731 (0.750)	Data 0.001 (0.002)	Loss 2.0103 (2.1644)	Prec@1 47.656 (45.294)	Prec@5 76.562 (75.839)
Epoch: [55][3730/14090]	Time 0.751 (0.750)	Data 0.001 (0.002)	Loss 2.1922 (2.1644)	Prec@1 42.188 (45.290)	Prec@5 75.000 (75.844)
Epoch: [55][3740/14090]	Time 0.746 (0.750)	Data 0.001 (0.002)	Loss 2.3643 (2.1644)	Prec@1 39.844 (45.292)	Prec@5 67.969 (75.843)
Epoch: [55][3750/14090]	Time 0.752 (0.750)	Data 0.002 (0.002)	Loss 2.3922 (2.1643)	Prec@1 38.281 (45.289)	Prec@5 71.875 (75.842)
Epoch: [55][3760/14090]	Time 0.775 (0.750)	Data 0.001 (0.002)	Loss 2.1211 (2.1645)	Prec@1 46.875 (45.285)	Prec@5 75.000 (75.840)
Epoch: [55][3770/14090]	Time 0.727 (0.750)	Data 0.001 (0.002)	Loss 2.5025 (2.1645)	Prec@1 44.531 (45.283)	Prec@5 68.750 (75.839)
Epoch: [55][3780/14090]	Time 0.753 (0.750)	Data 0.001 (0.002)	Loss 2.0983 (2.1647)	Prec@1 43.750 (45.282)	Prec@5 76.562 (75.833)
Epoch: [55][3790/14090]	Time 0.734 (0.750)	Data 0.001 (0.002)	Loss 2.3761 (2.1648)	Prec@1 37.500 (45.280)	Prec@5 73.438 (75.835)
Epoch: [55][3800/14090]	Time 0.740 (0.750)	Data 0.001 (0.002)	Loss 2.0892 (2.1650)	Prec@1 49.219 (45.274)	Prec@5 79.688 (75.832)
Epoch: [55][3810/14090]	Time 0.748 (0.750)	Data 0.001 (0.002)	Loss 2.0209 (2.1651)	Prec@1 50.781 (45.274)	Prec@5 78.125 (75.828)
Epoch: [55][3820/14090]	Time 0.764 (0.750)	Data 0.002 (0.002)	Loss 2.0743 (2.1653)	Prec@1 40.625 (45.268)	Prec@5 81.250 (75.827)
Epoch: [55][3830/14090]	Time 0.755 (0.750)	Data 0.001 (0.002)	Loss 2.3696 (2.1654)	Prec@1 39.062 (45.269)	Prec@5 71.094 (75.824)
Epoch: [55][3840/14090]	Time 0.738 (0.750)	Data 0.001 (0.002)	Loss 2.0895 (2.1653)	Prec@1 40.625 (45.269)	Prec@5 78.906 (75.828)
Epoch: [55][3850/14090]	Time 0.758 (0.750)	Data 0.001 (0.002)	Loss 2.0831 (2.1653)	Prec@1 43.750 (45.267)	Prec@5 81.250 (75.828)
Epoch: [55][3860/14090]	Time 0.759 (0.750)	Data 0.001 (0.002)	Loss 2.0902 (2.1652)	Prec@1 42.188 (45.268)	Prec@5 75.781 (75.830)
Epoch: [55][3870/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 1.8628 (2.1649)	Prec@1 49.219 (45.273)	Prec@5 82.812 (75.839)
Epoch: [55][3880/14090]	Time 0.753 (0.750)	Data 0.001 (0.002)	Loss 2.1572 (2.1652)	Prec@1 44.531 (45.269)	Prec@5 74.219 (75.828)
Epoch: [55][3890/14090]	Time 0.731 (0.750)	Data 0.002 (0.002)	Loss 2.1640 (2.1653)	Prec@1 45.312 (45.267)	Prec@5 73.438 (75.828)
Epoch: [55][3900/14090]	Time 0.786 (0.750)	Data 0.001 (0.002)	Loss 1.8104 (2.1654)	Prec@1 56.250 (45.263)	Prec@5 79.688 (75.823)
Epoch: [55][3910/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 2.1904 (2.1652)	Prec@1 49.219 (45.270)	Prec@5 76.562 (75.825)
Epoch: [55][3920/14090]	Time 0.732 (0.750)	Data 0.001 (0.002)	Loss 2.2085 (2.1653)	Prec@1 46.875 (45.268)	Prec@5 75.781 (75.826)
Epoch: [55][3930/14090]	Time 0.740 (0.750)	Data 0.001 (0.002)	Loss 1.9045 (2.1653)	Prec@1 52.344 (45.268)	Prec@5 78.906 (75.826)
Epoch: [55][3940/14090]	Time 0.761 (0.750)	Data 0.001 (0.002)	Loss 2.3942 (2.1656)	Prec@1 38.281 (45.264)	Prec@5 68.750 (75.821)
Epoch: [55][3950/14090]	Time 0.746 (0.750)	Data 0.001 (0.002)	Loss 1.9633 (2.1656)	Prec@1 51.562 (45.268)	Prec@5 77.344 (75.818)
Epoch: [55][3960/14090]	Time 0.758 (0.750)	Data 0.002 (0.002)	Loss 2.4094 (2.1656)	Prec@1 45.312 (45.270)	Prec@5 68.750 (75.818)
Epoch: [55][3970/14090]	Time 0.727 (0.750)	Data 0.001 (0.002)	Loss 2.3145 (2.1656)	Prec@1 39.844 (45.272)	Prec@5 71.875 (75.814)
Epoch: [55][3980/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 2.1308 (2.1657)	Prec@1 44.531 (45.267)	Prec@5 77.344 (75.812)
Epoch: [55][3990/14090]	Time 0.726 (0.750)	Data 0.001 (0.002)	Loss 1.9536 (2.1655)	Prec@1 42.969 (45.268)	Prec@5 84.375 (75.815)
Epoch: [55][4000/14090]	Time 0.748 (0.750)	Data 0.001 (0.002)	Loss 2.3723 (2.1654)	Prec@1 39.062 (45.271)	Prec@5 73.438 (75.815)
Epoch: [55][4010/14090]	Time 0.753 (0.750)	Data 0.001 (0.002)	Loss 2.2905 (2.1656)	Prec@1 38.281 (45.269)	Prec@5 73.438 (75.813)
Epoch: [55][4020/14090]	Time 0.760 (0.750)	Data 0.001 (0.002)	Loss 2.0769 (2.1656)	Prec@1 52.344 (45.275)	Prec@5 77.344 (75.813)
Epoch: [55][4030/14090]	Time 0.753 (0.750)	Data 0.002 (0.002)	Loss 2.2711 (2.1656)	Prec@1 42.969 (45.275)	Prec@5 79.688 (75.816)
Epoch: [55][4040/14090]	Time 0.742 (0.750)	Data 0.001 (0.002)	Loss 2.1300 (2.1655)	Prec@1 41.406 (45.277)	Prec@5 75.781 (75.817)
Epoch: [55][4050/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 2.0237 (2.1655)	Prec@1 45.312 (45.273)	Prec@5 78.906 (75.815)
Epoch: [55][4060/14090]	Time 0.775 (0.750)	Data 0.003 (0.002)	Loss 2.4265 (2.1654)	Prec@1 40.625 (45.274)	Prec@5 71.094 (75.818)
Epoch: [55][4070/14090]	Time 0.777 (0.750)	Data 0.001 (0.002)	Loss 2.6207 (2.1653)	Prec@1 35.938 (45.274)	Prec@5 67.969 (75.821)
Epoch: [55][4080/14090]	Time 0.732 (0.750)	Data 0.001 (0.002)	Loss 2.2661 (2.1652)	Prec@1 41.406 (45.276)	Prec@5 75.781 (75.827)
Epoch: [55][4090/14090]	Time 0.753 (0.750)	Data 0.001 (0.002)	Loss 2.4221 (2.1652)	Prec@1 38.281 (45.278)	Prec@5 72.656 (75.829)
Epoch: [55][4100/14090]	Time 0.752 (0.750)	Data 0.002 (0.002)	Loss 2.1560 (2.1651)	Prec@1 42.969 (45.276)	Prec@5 82.812 (75.831)
Epoch: [55][4110/14090]	Time 0.764 (0.750)	Data 0.001 (0.002)	Loss 2.1916 (2.1650)	Prec@1 44.531 (45.274)	Prec@5 79.688 (75.833)
Epoch: [55][4120/14090]	Time 0.730 (0.750)	Data 0.001 (0.002)	Loss 2.2666 (2.1652)	Prec@1 37.500 (45.264)	Prec@5 71.875 (75.828)
Epoch: [55][4130/14090]	Time 0.770 (0.750)	Data 0.001 (0.002)	Loss 2.3541 (2.1652)	Prec@1 44.531 (45.265)	Prec@5 74.219 (75.832)
Epoch: [55][4140/14090]	Time 0.739 (0.750)	Data 0.001 (0.002)	Loss 2.4804 (2.1651)	Prec@1 44.531 (45.268)	Prec@5 68.750 (75.833)
Epoch: [55][4150/14090]	Time 0.777 (0.750)	Data 0.001 (0.002)	Loss 2.1467 (2.1651)	Prec@1 46.094 (45.269)	Prec@5 77.344 (75.833)
Epoch: [55][4160/14090]	Time 0.757 (0.750)	Data 0.001 (0.002)	Loss 2.0697 (2.1650)	Prec@1 46.094 (45.270)	Prec@5 76.562 (75.837)
Epoch: [55][4170/14090]	Time 0.768 (0.750)	Data 0.002 (0.002)	Loss 2.3109 (2.1652)	Prec@1 40.625 (45.264)	Prec@5 70.312 (75.834)
Epoch: [55][4180/14090]	Time 0.753 (0.750)	Data 0.001 (0.002)	Loss 2.3529 (2.1652)	Prec@1 41.406 (45.262)	Prec@5 73.438 (75.831)
Epoch: [55][4190/14090]	Time 0.727 (0.750)	Data 0.001 (0.002)	Loss 2.1693 (2.1655)	Prec@1 45.312 (45.256)	Prec@5 73.438 (75.822)
Epoch: [55][4200/14090]	Time 0.781 (0.750)	Data 0.001 (0.002)	Loss 2.4230 (2.1654)	Prec@1 44.531 (45.260)	Prec@5 70.312 (75.823)
Epoch: [55][4210/14090]	Time 0.759 (0.750)	Data 0.001 (0.002)	Loss 1.9039 (2.1656)	Prec@1 53.906 (45.256)	Prec@5 78.906 (75.818)
Epoch: [55][4220/14090]	Time 0.735 (0.750)	Data 0.001 (0.002)	Loss 2.2504 (2.1658)	Prec@1 46.094 (45.255)	Prec@5 74.219 (75.813)
Epoch: [55][4230/14090]	Time 0.759 (0.750)	Data 0.001 (0.002)	Loss 2.1635 (2.1658)	Prec@1 49.219 (45.255)	Prec@5 78.125 (75.817)
Epoch: [55][4240/14090]	Time 0.770 (0.750)	Data 0.002 (0.002)	Loss 1.9407 (2.1657)	Prec@1 53.125 (45.260)	Prec@5 83.594 (75.818)
Epoch: [55][4250/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 2.5840 (2.1657)	Prec@1 29.688 (45.257)	Prec@5 74.219 (75.822)
Epoch: [55][4260/14090]	Time 0.764 (0.750)	Data 0.001 (0.002)	Loss 2.3814 (2.1657)	Prec@1 36.719 (45.256)	Prec@5 71.094 (75.822)
Epoch: [55][4270/14090]	Time 0.764 (0.750)	Data 0.001 (0.002)	Loss 2.2999 (2.1655)	Prec@1 49.219 (45.260)	Prec@5 69.531 (75.827)
Epoch: [55][4280/14090]	Time 0.740 (0.750)	Data 0.001 (0.002)	Loss 2.1937 (2.1656)	Prec@1 40.625 (45.259)	Prec@5 74.219 (75.827)
Epoch: [55][4290/14090]	Time 0.758 (0.750)	Data 0.001 (0.002)	Loss 2.3812 (2.1655)	Prec@1 40.625 (45.256)	Prec@5 71.875 (75.827)
Epoch: [55][4300/14090]	Time 0.738 (0.750)	Data 0.001 (0.002)	Loss 2.1949 (2.1656)	Prec@1 46.875 (45.256)	Prec@5 71.875 (75.827)
Epoch: [55][4310/14090]	Time 0.734 (0.750)	Data 0.002 (0.002)	Loss 2.4860 (2.1657)	Prec@1 40.625 (45.253)	Prec@5 74.219 (75.826)
Epoch: [55][4320/14090]	Time 0.766 (0.750)	Data 0.001 (0.002)	Loss 2.2175 (2.1656)	Prec@1 42.188 (45.254)	Prec@5 68.750 (75.823)
Epoch: [55][4330/14090]	Time 0.735 (0.750)	Data 0.001 (0.002)	Loss 2.1203 (2.1655)	Prec@1 46.875 (45.258)	Prec@5 75.781 (75.825)
Epoch: [55][4340/14090]	Time 0.759 (0.750)	Data 0.001 (0.002)	Loss 2.2949 (2.1654)	Prec@1 43.750 (45.260)	Prec@5 72.656 (75.828)
Epoch: [55][4350/14090]	Time 0.758 (0.750)	Data 0.001 (0.002)	Loss 2.2305 (2.1652)	Prec@1 43.750 (45.262)	Prec@5 75.781 (75.830)
Epoch: [55][4360/14090]	Time 0.768 (0.750)	Data 0.001 (0.002)	Loss 2.0877 (2.1651)	Prec@1 46.875 (45.263)	Prec@5 77.344 (75.831)
Epoch: [55][4370/14090]	Time 0.755 (0.750)	Data 0.001 (0.002)	Loss 2.0637 (2.1652)	Prec@1 46.094 (45.269)	Prec@5 78.906 (75.830)
Epoch: [55][4380/14090]	Time 0.728 (0.750)	Data 0.002 (0.002)	Loss 2.1922 (2.1651)	Prec@1 45.312 (45.268)	Prec@5 77.344 (75.834)
Epoch: [55][4390/14090]	Time 0.735 (0.750)	Data 0.001 (0.002)	Loss 2.3959 (2.1651)	Prec@1 45.312 (45.268)	Prec@5 71.094 (75.832)
Epoch: [55][4400/14090]	Time 0.740 (0.750)	Data 0.001 (0.002)	Loss 2.1344 (2.1650)	Prec@1 40.625 (45.271)	Prec@5 75.781 (75.832)
Epoch: [55][4410/14090]	Time 0.742 (0.750)	Data 0.001 (0.002)	Loss 2.1629 (2.1649)	Prec@1 46.094 (45.273)	Prec@5 73.438 (75.833)
Epoch: [55][4420/14090]	Time 0.724 (0.750)	Data 0.001 (0.002)	Loss 2.6450 (2.1650)	Prec@1 34.375 (45.270)	Prec@5 71.094 (75.832)
Epoch: [55][4430/14090]	Time 0.787 (0.750)	Data 0.001 (0.002)	Loss 2.5629 (2.1650)	Prec@1 35.156 (45.270)	Prec@5 71.094 (75.834)
Epoch: [55][4440/14090]	Time 0.730 (0.750)	Data 0.001 (0.002)	Loss 2.2146 (2.1650)	Prec@1 48.438 (45.271)	Prec@5 75.000 (75.836)
Epoch: [55][4450/14090]	Time 0.753 (0.750)	Data 0.002 (0.002)	Loss 2.1111 (2.1651)	Prec@1 42.188 (45.266)	Prec@5 78.125 (75.831)
Epoch: [55][4460/14090]	Time 0.760 (0.750)	Data 0.001 (0.002)	Loss 2.0179 (2.1652)	Prec@1 49.219 (45.268)	Prec@5 76.562 (75.831)
Epoch: [55][4470/14090]	Time 0.757 (0.750)	Data 0.001 (0.002)	Loss 2.4201 (2.1654)	Prec@1 39.062 (45.262)	Prec@5 77.344 (75.830)
Epoch: [55][4480/14090]	Time 0.759 (0.750)	Data 0.001 (0.002)	Loss 2.2842 (2.1652)	Prec@1 44.531 (45.267)	Prec@5 73.438 (75.833)
Epoch: [55][4490/14090]	Time 0.729 (0.750)	Data 0.001 (0.002)	Loss 2.0246 (2.1653)	Prec@1 53.125 (45.264)	Prec@5 82.812 (75.835)
Epoch: [55][4500/14090]	Time 0.728 (0.750)	Data 0.001 (0.002)	Loss 2.0780 (2.1653)	Prec@1 42.188 (45.265)	Prec@5 78.125 (75.838)
Epoch: [55][4510/14090]	Time 0.748 (0.750)	Data 0.001 (0.002)	Loss 2.0174 (2.1652)	Prec@1 45.312 (45.267)	Prec@5 76.562 (75.841)
Epoch: [55][4520/14090]	Time 0.780 (0.750)	Data 0.002 (0.002)	Loss 1.8835 (2.1652)	Prec@1 50.781 (45.269)	Prec@5 82.812 (75.840)
Epoch: [55][4530/14090]	Time 0.736 (0.750)	Data 0.001 (0.002)	Loss 2.2155 (2.1651)	Prec@1 42.969 (45.272)	Prec@5 74.219 (75.839)
Epoch: [55][4540/14090]	Time 0.748 (0.750)	Data 0.001 (0.002)	Loss 2.1752 (2.1651)	Prec@1 42.969 (45.274)	Prec@5 77.344 (75.836)
Epoch: [55][4550/14090]	Time 0.774 (0.750)	Data 0.001 (0.002)	Loss 2.4198 (2.1652)	Prec@1 40.625 (45.275)	Prec@5 75.000 (75.835)
Epoch: [55][4560/14090]	Time 0.760 (0.750)	Data 0.001 (0.002)	Loss 2.1454 (2.1651)	Prec@1 47.656 (45.278)	Prec@5 75.781 (75.835)
Epoch: [55][4570/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 2.0994 (2.1652)	Prec@1 45.312 (45.276)	Prec@5 75.000 (75.833)
Epoch: [55][4580/14090]	Time 0.734 (0.750)	Data 0.001 (0.002)	Loss 2.0518 (2.1652)	Prec@1 48.438 (45.274)	Prec@5 75.781 (75.832)
Epoch: [55][4590/14090]	Time 0.736 (0.750)	Data 0.002 (0.002)	Loss 2.2534 (2.1652)	Prec@1 42.188 (45.276)	Prec@5 78.906 (75.834)
Epoch: [55][4600/14090]	Time 0.757 (0.750)	Data 0.001 (0.002)	Loss 2.3312 (2.1651)	Prec@1 42.969 (45.278)	Prec@5 67.188 (75.834)
Epoch: [55][4610/14090]	Time 0.784 (0.750)	Data 0.001 (0.002)	Loss 2.0201 (2.1652)	Prec@1 50.781 (45.279)	Prec@5 78.125 (75.831)
Epoch: [55][4620/14090]	Time 0.741 (0.750)	Data 0.001 (0.002)	Loss 2.1198 (2.1650)	Prec@1 42.188 (45.283)	Prec@5 75.000 (75.835)
Epoch: [55][4630/14090]	Time 0.755 (0.750)	Data 0.001 (0.002)	Loss 2.2140 (2.1651)	Prec@1 46.094 (45.282)	Prec@5 75.781 (75.836)
Epoch: [55][4640/14090]	Time 0.742 (0.750)	Data 0.001 (0.002)	Loss 2.2528 (2.1651)	Prec@1 41.406 (45.281)	Prec@5 71.094 (75.835)
Epoch: [55][4650/14090]	Time 0.746 (0.750)	Data 0.001 (0.002)	Loss 1.8671 (2.1650)	Prec@1 53.906 (45.285)	Prec@5 78.125 (75.836)
Epoch: [55][4660/14090]	Time 0.768 (0.750)	Data 0.002 (0.002)	Loss 1.8762 (2.1648)	Prec@1 51.562 (45.288)	Prec@5 78.125 (75.840)
Epoch: [55][4670/14090]	Time 0.730 (0.750)	Data 0.001 (0.002)	Loss 2.3841 (2.1644)	Prec@1 35.156 (45.297)	Prec@5 71.875 (75.845)
Epoch: [55][4680/14090]	Time 0.765 (0.750)	Data 0.001 (0.002)	Loss 1.8142 (2.1642)	Prec@1 50.781 (45.302)	Prec@5 82.812 (75.853)
Epoch: [55][4690/14090]	Time 0.725 (0.750)	Data 0.001 (0.002)	Loss 2.0802 (2.1643)	Prec@1 53.906 (45.301)	Prec@5 78.125 (75.852)
Epoch: [55][4700/14090]	Time 0.773 (0.750)	Data 0.001 (0.002)	Loss 2.2962 (2.1645)	Prec@1 42.969 (45.299)	Prec@5 74.219 (75.851)
Epoch: [55][4710/14090]	Time 0.737 (0.750)	Data 0.001 (0.002)	Loss 2.2542 (2.1645)	Prec@1 44.531 (45.299)	Prec@5 75.000 (75.853)
Epoch: [55][4720/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 1.9752 (2.1644)	Prec@1 44.531 (45.296)	Prec@5 80.469 (75.855)
Epoch: [55][4730/14090]	Time 0.741 (0.750)	Data 0.002 (0.002)	Loss 2.2405 (2.1645)	Prec@1 42.188 (45.295)	Prec@5 75.000 (75.854)
Epoch: [55][4740/14090]	Time 0.743 (0.750)	Data 0.001 (0.002)	Loss 2.1173 (2.1644)	Prec@1 43.750 (45.298)	Prec@5 78.125 (75.856)
Epoch: [55][4750/14090]	Time 0.755 (0.750)	Data 0.001 (0.002)	Loss 2.1966 (2.1644)	Prec@1 44.531 (45.299)	Prec@5 76.562 (75.856)
Epoch: [55][4760/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 2.1487 (2.1645)	Prec@1 46.875 (45.296)	Prec@5 74.219 (75.857)
Epoch: [55][4770/14090]	Time 0.759 (0.750)	Data 0.001 (0.002)	Loss 2.1859 (2.1646)	Prec@1 41.406 (45.293)	Prec@5 73.438 (75.854)
Epoch: [55][4780/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 2.6300 (2.1647)	Prec@1 35.156 (45.290)	Prec@5 69.531 (75.853)
Epoch: [55][4790/14090]	Time 0.735 (0.750)	Data 0.001 (0.002)	Loss 1.9498 (2.1647)	Prec@1 52.344 (45.292)	Prec@5 81.250 (75.856)
Epoch: [55][4800/14090]	Time 0.762 (0.750)	Data 0.002 (0.002)	Loss 2.2445 (2.1648)	Prec@1 46.094 (45.293)	Prec@5 75.781 (75.852)
Epoch: [55][4810/14090]	Time 0.725 (0.750)	Data 0.001 (0.002)	Loss 2.1260 (2.1648)	Prec@1 44.531 (45.293)	Prec@5 71.094 (75.850)
Epoch: [55][4820/14090]	Time 0.744 (0.750)	Data 0.001 (0.002)	Loss 2.3103 (2.1649)	Prec@1 42.188 (45.290)	Prec@5 69.531 (75.848)
Epoch: [55][4830/14090]	Time 0.747 (0.750)	Data 0.001 (0.002)	Loss 2.2189 (2.1649)	Prec@1 50.000 (45.292)	Prec@5 74.219 (75.850)
Epoch: [55][4840/14090]	Time 0.741 (0.750)	Data 0.001 (0.002)	Loss 1.8120 (2.1648)	Prec@1 53.906 (45.292)	Prec@5 81.250 (75.853)
Epoch: [55][4850/14090]	Time 0.742 (0.750)	Data 0.001 (0.002)	Loss 1.9878 (2.1647)	Prec@1 48.438 (45.291)	Prec@5 78.906 (75.853)
Epoch: [55][4860/14090]	Time 0.764 (0.750)	Data 0.001 (0.002)	Loss 2.0180 (2.1648)	Prec@1 48.438 (45.290)	Prec@5 78.125 (75.851)
Epoch: [55][4870/14090]	Time 0.732 (0.750)	Data 0.002 (0.002)	Loss 2.2004 (2.1646)	Prec@1 41.406 (45.294)	Prec@5 75.000 (75.854)
Epoch: [55][4880/14090]	Time 0.746 (0.750)	Data 0.001 (0.002)	Loss 2.0770 (2.1645)	Prec@1 47.656 (45.299)	Prec@5 80.469 (75.855)
Epoch: [55][4890/14090]	Time 0.740 (0.750)	Data 0.001 (0.002)	Loss 2.1715 (2.1647)	Prec@1 50.000 (45.302)	Prec@5 80.469 (75.851)
Epoch: [55][4900/14090]	Time 0.740 (0.750)	Data 0.001 (0.002)	Loss 2.2018 (2.1647)	Prec@1 46.875 (45.299)	Prec@5 75.781 (75.850)
Epoch: [55][4910/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 2.2626 (2.1647)	Prec@1 45.312 (45.300)	Prec@5 75.781 (75.850)
Epoch: [55][4920/14090]	Time 0.755 (0.750)	Data 0.001 (0.002)	Loss 2.3591 (2.1648)	Prec@1 42.188 (45.299)	Prec@5 71.094 (75.850)
Epoch: [55][4930/14090]	Time 0.736 (0.750)	Data 0.001 (0.002)	Loss 2.4162 (2.1648)	Prec@1 38.281 (45.296)	Prec@5 67.969 (75.847)
Epoch: [55][4940/14090]	Time 0.732 (0.750)	Data 0.002 (0.002)	Loss 2.1042 (2.1650)	Prec@1 48.438 (45.292)	Prec@5 78.125 (75.847)
Epoch: [55][4950/14090]	Time 0.764 (0.750)	Data 0.001 (0.002)	Loss 1.9078 (2.1649)	Prec@1 54.688 (45.294)	Prec@5 81.250 (75.848)
Epoch: [55][4960/14090]	Time 0.747 (0.750)	Data 0.001 (0.002)	Loss 1.9494 (2.1649)	Prec@1 50.000 (45.295)	Prec@5 81.250 (75.848)
Epoch: [55][4970/14090]	Time 0.751 (0.750)	Data 0.001 (0.002)	Loss 2.4230 (2.1650)	Prec@1 40.625 (45.292)	Prec@5 72.656 (75.846)
Epoch: [55][4980/14090]	Time 0.723 (0.750)	Data 0.001 (0.002)	Loss 2.0620 (2.1648)	Prec@1 47.656 (45.297)	Prec@5 76.562 (75.846)
Epoch: [55][4990/14090]	Time 0.756 (0.750)	Data 0.001 (0.002)	Loss 2.4933 (2.1649)	Prec@1 39.062 (45.293)	Prec@5 69.531 (75.846)
Epoch: [55][5000/14090]	Time 0.742 (0.750)	Data 0.001 (0.002)	Loss 2.2433 (2.1649)	Prec@1 41.406 (45.296)	Prec@5 72.656 (75.846)
Epoch: [55][5010/14090]	Time 0.729 (0.750)	Data 0.002 (0.002)	Loss 2.2687 (2.1651)	Prec@1 42.188 (45.288)	Prec@5 73.438 (75.842)
Epoch: [55][5020/14090]	Time 0.742 (0.750)	Data 0.001 (0.002)	Loss 2.2636 (2.1652)	Prec@1 42.188 (45.288)	Prec@5 69.531 (75.838)
Epoch: [55][5030/14090]	Time 0.748 (0.750)	Data 0.001 (0.002)	Loss 2.1469 (2.1653)	Prec@1 46.875 (45.285)	Prec@5 73.438 (75.836)
Epoch: [55][5040/14090]	Time 0.732 (0.750)	Data 0.002 (0.002)	Loss 2.2755 (2.1655)	Prec@1 39.062 (45.280)	Prec@5 71.875 (75.831)
Epoch: [55][5050/14090]	Time 0.759 (0.750)	Data 0.001 (0.002)	Loss 2.2123 (2.1657)	Prec@1 50.000 (45.278)	Prec@5 73.438 (75.826)
Epoch: [55][5060/14090]	Time 0.754 (0.750)	Data 0.001 (0.002)	Loss 2.2369 (2.1657)	Prec@1 43.750 (45.278)	Prec@5 73.438 (75.826)
Epoch: [55][5070/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 2.0904 (2.1657)	Prec@1 37.500 (45.276)	Prec@5 81.250 (75.826)
Epoch: [55][5080/14090]	Time 0.752 (0.750)	Data 0.002 (0.002)	Loss 1.8227 (2.1656)	Prec@1 53.125 (45.276)	Prec@5 78.125 (75.826)
Epoch: [55][5090/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 1.9942 (2.1656)	Prec@1 46.094 (45.276)	Prec@5 78.906 (75.825)
Epoch: [55][5100/14090]	Time 0.753 (0.750)	Data 0.001 (0.002)	Loss 2.0264 (2.1655)	Prec@1 50.781 (45.280)	Prec@5 77.344 (75.825)
Epoch: [55][5110/14090]	Time 0.735 (0.750)	Data 0.001 (0.002)	Loss 1.9605 (2.1656)	Prec@1 48.438 (45.278)	Prec@5 83.594 (75.823)
Epoch: [55][5120/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 2.1883 (2.1654)	Prec@1 47.656 (45.278)	Prec@5 75.781 (75.826)
Epoch: [55][5130/14090]	Time 0.739 (0.750)	Data 0.001 (0.002)	Loss 2.2802 (2.1655)	Prec@1 43.750 (45.278)	Prec@5 75.781 (75.827)
Epoch: [55][5140/14090]	Time 0.747 (0.750)	Data 0.001 (0.002)	Loss 2.3175 (2.1656)	Prec@1 38.281 (45.275)	Prec@5 75.781 (75.824)
Epoch: [55][5150/14090]	Time 0.768 (0.750)	Data 0.002 (0.002)	Loss 1.9984 (2.1656)	Prec@1 50.781 (45.275)	Prec@5 80.469 (75.826)
Epoch: [55][5160/14090]	Time 0.772 (0.750)	Data 0.001 (0.002)	Loss 2.0320 (2.1657)	Prec@1 50.781 (45.273)	Prec@5 80.469 (75.825)
Epoch: [55][5170/14090]	Time 0.729 (0.750)	Data 0.001 (0.002)	Loss 2.2531 (2.1659)	Prec@1 45.312 (45.268)	Prec@5 73.438 (75.820)
Epoch: [55][5180/14090]	Time 0.743 (0.750)	Data 0.001 (0.002)	Loss 1.8156 (2.1657)	Prec@1 50.000 (45.271)	Prec@5 79.688 (75.822)
Epoch: [55][5190/14090]	Time 0.779 (0.750)	Data 0.001 (0.002)	Loss 2.3056 (2.1658)	Prec@1 41.406 (45.273)	Prec@5 75.781 (75.824)
Epoch: [55][5200/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 2.2163 (2.1658)	Prec@1 42.969 (45.271)	Prec@5 71.875 (75.824)
Epoch: [55][5210/14090]	Time 0.757 (0.750)	Data 0.001 (0.002)	Loss 2.1907 (2.1657)	Prec@1 47.656 (45.270)	Prec@5 78.125 (75.825)
Epoch: [55][5220/14090]	Time 0.728 (0.750)	Data 0.002 (0.002)	Loss 1.8319 (2.1659)	Prec@1 57.031 (45.268)	Prec@5 82.031 (75.825)
Epoch: [55][5230/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 2.0596 (2.1658)	Prec@1 43.750 (45.268)	Prec@5 78.125 (75.825)
Epoch: [55][5240/14090]	Time 0.767 (0.750)	Data 0.001 (0.002)	Loss 2.2622 (2.1659)	Prec@1 43.750 (45.268)	Prec@5 73.438 (75.824)
Epoch: [55][5250/14090]	Time 0.751 (0.750)	Data 0.001 (0.002)	Loss 2.1575 (2.1660)	Prec@1 41.406 (45.263)	Prec@5 78.906 (75.826)
Epoch: [55][5260/14090]	Time 0.745 (0.750)	Data 0.001 (0.002)	Loss 2.3038 (2.1660)	Prec@1 46.094 (45.261)	Prec@5 73.438 (75.826)
Epoch: [55][5270/14090]	Time 0.744 (0.750)	Data 0.001 (0.002)	Loss 2.1986 (2.1659)	Prec@1 43.750 (45.262)	Prec@5 73.438 (75.827)
Epoch: [55][5280/14090]	Time 0.781 (0.750)	Data 0.001 (0.002)	Loss 2.2046 (2.1659)	Prec@1 42.969 (45.263)	Prec@5 71.875 (75.828)
Epoch: [55][5290/14090]	Time 0.737 (0.750)	Data 0.002 (0.002)	Loss 2.1673 (2.1659)	Prec@1 38.281 (45.260)	Prec@5 79.688 (75.828)
Epoch: [55][5300/14090]	Time 0.754 (0.750)	Data 0.001 (0.002)	Loss 2.2738 (2.1660)	Prec@1 42.969 (45.258)	Prec@5 72.656 (75.825)
Epoch: [55][5310/14090]	Time 0.772 (0.750)	Data 0.001 (0.002)	Loss 2.5282 (2.1661)	Prec@1 39.844 (45.260)	Prec@5 67.969 (75.823)
Epoch: [55][5320/14090]	Time 0.764 (0.750)	Data 0.001 (0.002)	Loss 1.8687 (2.1661)	Prec@1 48.438 (45.256)	Prec@5 79.688 (75.820)
Epoch: [55][5330/14090]	Time 0.748 (0.750)	Data 0.001 (0.002)	Loss 1.9334 (2.1659)	Prec@1 48.438 (45.260)	Prec@5 81.250 (75.823)
Epoch: [55][5340/14090]	Time 0.732 (0.750)	Data 0.001 (0.002)	Loss 2.1000 (2.1658)	Prec@1 52.344 (45.259)	Prec@5 77.344 (75.827)
Epoch: [55][5350/14090]	Time 0.735 (0.750)	Data 0.001 (0.002)	Loss 2.0609 (2.1659)	Prec@1 49.219 (45.258)	Prec@5 78.125 (75.825)
Epoch: [55][5360/14090]	Time 0.728 (0.750)	Data 0.003 (0.002)	Loss 1.9425 (2.1659)	Prec@1 50.781 (45.261)	Prec@5 80.469 (75.826)
Epoch: [55][5370/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 2.3239 (2.1659)	Prec@1 42.188 (45.259)	Prec@5 68.750 (75.821)
Epoch: [55][5380/14090]	Time 0.767 (0.750)	Data 0.001 (0.002)	Loss 2.1001 (2.1658)	Prec@1 52.344 (45.261)	Prec@5 81.250 (75.824)
Epoch: [55][5390/14090]	Time 0.731 (0.750)	Data 0.001 (0.002)	Loss 2.3907 (2.1659)	Prec@1 41.406 (45.257)	Prec@5 72.656 (75.822)
Epoch: [55][5400/14090]	Time 0.742 (0.750)	Data 0.001 (0.002)	Loss 2.3391 (2.1659)	Prec@1 41.406 (45.258)	Prec@5 75.000 (75.825)
Epoch: [55][5410/14090]	Time 0.755 (0.750)	Data 0.001 (0.002)	Loss 2.0328 (2.1659)	Prec@1 42.969 (45.259)	Prec@5 80.469 (75.823)
Epoch: [55][5420/14090]	Time 0.724 (0.750)	Data 0.001 (0.002)	Loss 2.3069 (2.1660)	Prec@1 50.781 (45.258)	Prec@5 72.656 (75.822)
Epoch: [55][5430/14090]	Time 0.738 (0.750)	Data 0.002 (0.002)	Loss 2.2973 (2.1660)	Prec@1 46.094 (45.259)	Prec@5 72.656 (75.823)
Epoch: [55][5440/14090]	Time 0.737 (0.750)	Data 0.001 (0.002)	Loss 2.0392 (2.1659)	Prec@1 49.219 (45.261)	Prec@5 79.688 (75.823)
Epoch: [55][5450/14090]	Time 0.742 (0.750)	Data 0.001 (0.002)	Loss 1.8133 (2.1660)	Prec@1 50.000 (45.260)	Prec@5 83.594 (75.821)
Epoch: [55][5460/14090]	Time 0.771 (0.750)	Data 0.001 (0.002)	Loss 2.2936 (2.1661)	Prec@1 44.531 (45.259)	Prec@5 77.344 (75.820)
Epoch: [55][5470/14090]	Time 0.754 (0.750)	Data 0.001 (0.002)	Loss 2.3634 (2.1661)	Prec@1 42.188 (45.259)	Prec@5 72.656 (75.820)
Epoch: [55][5480/14090]	Time 0.724 (0.750)	Data 0.001 (0.002)	Loss 2.2725 (2.1661)	Prec@1 40.625 (45.259)	Prec@5 75.000 (75.820)
Epoch: [55][5490/14090]	Time 0.729 (0.750)	Data 0.001 (0.002)	Loss 2.3071 (2.1662)	Prec@1 46.875 (45.258)	Prec@5 72.656 (75.817)
Epoch: [55][5500/14090]	Time 0.750 (0.750)	Data 0.002 (0.002)	Loss 2.0691 (2.1662)	Prec@1 45.312 (45.260)	Prec@5 71.094 (75.817)
Epoch: [55][5510/14090]	Time 0.757 (0.750)	Data 0.001 (0.002)	Loss 2.2769 (2.1664)	Prec@1 44.531 (45.257)	Prec@5 75.000 (75.814)
Epoch: [55][5520/14090]	Time 0.745 (0.750)	Data 0.003 (0.002)	Loss 2.1422 (2.1664)	Prec@1 44.531 (45.253)	Prec@5 75.781 (75.815)
Epoch: [55][5530/14090]	Time 0.740 (0.750)	Data 0.001 (0.002)	Loss 2.1074 (2.1666)	Prec@1 43.750 (45.250)	Prec@5 80.469 (75.813)
Epoch: [55][5540/14090]	Time 0.742 (0.750)	Data 0.001 (0.002)	Loss 2.1743 (2.1666)	Prec@1 45.312 (45.252)	Prec@5 78.906 (75.817)
Epoch: [55][5550/14090]	Time 0.725 (0.750)	Data 0.001 (0.002)	Loss 2.3169 (2.1666)	Prec@1 38.281 (45.250)	Prec@5 75.781 (75.817)
Epoch: [55][5560/14090]	Time 0.749 (0.750)	Data 0.002 (0.002)	Loss 2.1943 (2.1667)	Prec@1 49.219 (45.249)	Prec@5 73.438 (75.813)
Epoch: [55][5570/14090]	Time 0.734 (0.750)	Data 0.002 (0.002)	Loss 1.9835 (2.1666)	Prec@1 45.312 (45.252)	Prec@5 81.250 (75.815)
Epoch: [55][5580/14090]	Time 0.756 (0.750)	Data 0.001 (0.002)	Loss 2.1942 (2.1666)	Prec@1 44.531 (45.251)	Prec@5 71.094 (75.815)
Epoch: [55][5590/14090]	Time 0.753 (0.750)	Data 0.001 (0.002)	Loss 2.1216 (2.1667)	Prec@1 46.094 (45.248)	Prec@5 78.125 (75.815)
Epoch: [55][5600/14090]	Time 0.779 (0.750)	Data 0.002 (0.002)	Loss 2.2316 (2.1668)	Prec@1 40.625 (45.247)	Prec@5 75.000 (75.811)
Epoch: [55][5610/14090]	Time 0.734 (0.750)	Data 0.001 (0.002)	Loss 2.1729 (2.1667)	Prec@1 40.625 (45.248)	Prec@5 79.688 (75.812)
Epoch: [55][5620/14090]	Time 0.760 (0.750)	Data 0.001 (0.002)	Loss 1.9004 (2.1665)	Prec@1 48.438 (45.252)	Prec@5 82.812 (75.813)
Epoch: [55][5630/14090]	Time 0.791 (0.750)	Data 0.001 (0.002)	Loss 2.1375 (2.1666)	Prec@1 46.094 (45.250)	Prec@5 78.125 (75.814)
Epoch: [55][5640/14090]	Time 0.737 (0.750)	Data 0.002 (0.002)	Loss 2.4039 (2.1668)	Prec@1 36.719 (45.245)	Prec@5 71.094 (75.810)
Epoch: [55][5650/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 2.0834 (2.1668)	Prec@1 47.656 (45.245)	Prec@5 74.219 (75.808)
Epoch: [55][5660/14090]	Time 0.742 (0.750)	Data 0.001 (0.002)	Loss 2.1398 (2.1667)	Prec@1 46.875 (45.246)	Prec@5 77.344 (75.809)
Epoch: [55][5670/14090]	Time 0.766 (0.750)	Data 0.001 (0.002)	Loss 2.4010 (2.1669)	Prec@1 46.094 (45.245)	Prec@5 72.656 (75.807)
Epoch: [55][5680/14090]	Time 0.776 (0.750)	Data 0.001 (0.002)	Loss 2.3483 (2.1669)	Prec@1 40.625 (45.244)	Prec@5 74.219 (75.805)
Epoch: [55][5690/14090]	Time 0.755 (0.750)	Data 0.001 (0.002)	Loss 2.1688 (2.1670)	Prec@1 43.750 (45.241)	Prec@5 75.781 (75.802)
Epoch: [55][5700/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 2.1474 (2.1670)	Prec@1 45.312 (45.241)	Prec@5 72.656 (75.801)
Epoch: [55][5710/14090]	Time 0.778 (0.750)	Data 0.002 (0.002)	Loss 2.0023 (2.1670)	Prec@1 49.219 (45.244)	Prec@5 78.125 (75.803)
Epoch: [55][5720/14090]	Time 0.735 (0.750)	Data 0.001 (0.002)	Loss 1.9942 (2.1669)	Prec@1 50.781 (45.247)	Prec@5 76.562 (75.806)
Epoch: [55][5730/14090]	Time 0.755 (0.750)	Data 0.001 (0.002)	Loss 2.5461 (2.1669)	Prec@1 42.969 (45.247)	Prec@5 69.531 (75.806)
Epoch: [55][5740/14090]	Time 0.756 (0.750)	Data 0.001 (0.002)	Loss 1.9385 (2.1669)	Prec@1 47.656 (45.249)	Prec@5 81.250 (75.807)
Epoch: [55][5750/14090]	Time 0.742 (0.750)	Data 0.001 (0.002)	Loss 2.3100 (2.1670)	Prec@1 41.406 (45.247)	Prec@5 75.000 (75.804)
Epoch: [55][5760/14090]	Time 0.726 (0.750)	Data 0.001 (0.002)	Loss 2.0586 (2.1671)	Prec@1 46.875 (45.247)	Prec@5 77.344 (75.803)
Epoch: [55][5770/14090]	Time 0.760 (0.750)	Data 0.001 (0.002)	Loss 2.3595 (2.1671)	Prec@1 33.594 (45.244)	Prec@5 68.750 (75.801)
Epoch: [55][5780/14090]	Time 0.731 (0.750)	Data 0.002 (0.002)	Loss 2.6102 (2.1672)	Prec@1 31.250 (45.243)	Prec@5 68.750 (75.799)
Epoch: [55][5790/14090]	Time 0.753 (0.750)	Data 0.001 (0.002)	Loss 2.2385 (2.1673)	Prec@1 44.531 (45.246)	Prec@5 73.438 (75.797)
Epoch: [55][5800/14090]	Time 0.730 (0.750)	Data 0.001 (0.002)	Loss 1.9521 (2.1673)	Prec@1 53.906 (45.247)	Prec@5 82.812 (75.799)
Epoch: [55][5810/14090]	Time 0.739 (0.750)	Data 0.001 (0.002)	Loss 2.0526 (2.1672)	Prec@1 52.344 (45.249)	Prec@5 76.562 (75.802)
Epoch: [55][5820/14090]	Time 0.723 (0.750)	Data 0.001 (0.002)	Loss 2.3321 (2.1671)	Prec@1 38.281 (45.251)	Prec@5 74.219 (75.804)
Epoch: [55][5830/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 2.1824 (2.1672)	Prec@1 47.656 (45.248)	Prec@5 75.781 (75.801)
Epoch: [55][5840/14090]	Time 0.743 (0.750)	Data 0.001 (0.002)	Loss 2.1460 (2.1672)	Prec@1 49.219 (45.248)	Prec@5 76.562 (75.800)
Epoch: [55][5850/14090]	Time 0.726 (0.750)	Data 0.002 (0.002)	Loss 2.3739 (2.1671)	Prec@1 39.844 (45.248)	Prec@5 74.219 (75.804)
Epoch: [55][5860/14090]	Time 0.758 (0.750)	Data 0.001 (0.002)	Loss 2.0760 (2.1670)	Prec@1 48.438 (45.247)	Prec@5 76.562 (75.806)
Epoch: [55][5870/14090]	Time 0.761 (0.750)	Data 0.001 (0.002)	Loss 1.8176 (2.1669)	Prec@1 49.219 (45.248)	Prec@5 82.031 (75.808)
Epoch: [55][5880/14090]	Time 0.753 (0.750)	Data 0.001 (0.002)	Loss 2.1987 (2.1670)	Prec@1 42.188 (45.246)	Prec@5 75.781 (75.808)
Epoch: [55][5890/14090]	Time 0.727 (0.750)	Data 0.001 (0.002)	Loss 2.2260 (2.1670)	Prec@1 50.000 (45.246)	Prec@5 72.656 (75.806)
Epoch: [55][5900/14090]	Time 0.754 (0.750)	Data 0.001 (0.002)	Loss 2.1967 (2.1670)	Prec@1 42.188 (45.247)	Prec@5 75.781 (75.805)
Epoch: [55][5910/14090]	Time 0.768 (0.750)	Data 0.001 (0.002)	Loss 1.9731 (2.1670)	Prec@1 50.000 (45.246)	Prec@5 79.688 (75.803)
Epoch: [55][5920/14090]	Time 0.749 (0.750)	Data 0.002 (0.002)	Loss 1.7248 (2.1671)	Prec@1 57.031 (45.244)	Prec@5 83.594 (75.801)
Epoch: [55][5930/14090]	Time 0.736 (0.750)	Data 0.002 (0.002)	Loss 2.5684 (2.1672)	Prec@1 33.594 (45.246)	Prec@5 62.500 (75.799)
Epoch: [55][5940/14090]	Time 0.734 (0.750)	Data 0.001 (0.002)	Loss 1.7969 (2.1671)	Prec@1 48.438 (45.246)	Prec@5 80.469 (75.802)
Epoch: [55][5950/14090]	Time 0.753 (0.750)	Data 0.001 (0.002)	Loss 2.0272 (2.1669)	Prec@1 51.562 (45.249)	Prec@5 80.469 (75.805)
Epoch: [55][5960/14090]	Time 0.729 (0.750)	Data 0.001 (0.002)	Loss 2.0984 (2.1669)	Prec@1 43.750 (45.248)	Prec@5 78.906 (75.805)
Epoch: [55][5970/14090]	Time 0.735 (0.750)	Data 0.001 (0.002)	Loss 2.5216 (2.1671)	Prec@1 36.719 (45.246)	Prec@5 71.875 (75.803)
Epoch: [55][5980/14090]	Time 0.767 (0.750)	Data 0.001 (0.002)	Loss 2.2948 (2.1672)	Prec@1 40.625 (45.244)	Prec@5 75.000 (75.805)
Epoch: [55][5990/14090]	Time 0.767 (0.750)	Data 0.002 (0.002)	Loss 2.2285 (2.1671)	Prec@1 51.562 (45.242)	Prec@5 75.781 (75.805)
Epoch: [55][6000/14090]	Time 0.743 (0.750)	Data 0.001 (0.002)	Loss 1.8962 (2.1671)	Prec@1 56.250 (45.243)	Prec@5 78.906 (75.805)
Epoch: [55][6010/14090]	Time 0.758 (0.750)	Data 0.001 (0.002)	Loss 2.2444 (2.1672)	Prec@1 43.750 (45.241)	Prec@5 71.094 (75.804)
Epoch: [55][6020/14090]	Time 0.780 (0.750)	Data 0.001 (0.002)	Loss 2.3010 (2.1672)	Prec@1 43.750 (45.242)	Prec@5 73.438 (75.802)
Epoch: [55][6030/14090]	Time 0.747 (0.750)	Data 0.001 (0.002)	Loss 2.0761 (2.1672)	Prec@1 47.656 (45.242)	Prec@5 78.906 (75.801)
Epoch: [55][6040/14090]	Time 0.758 (0.750)	Data 0.001 (0.002)	Loss 2.1823 (2.1673)	Prec@1 48.438 (45.241)	Prec@5 76.562 (75.800)
Epoch: [55][6050/14090]	Time 0.739 (0.750)	Data 0.001 (0.002)	Loss 1.9884 (2.1672)	Prec@1 49.219 (45.243)	Prec@5 77.344 (75.800)
Epoch: [55][6060/14090]	Time 0.723 (0.750)	Data 0.002 (0.002)	Loss 2.3538 (2.1673)	Prec@1 44.531 (45.240)	Prec@5 74.219 (75.799)
Epoch: [55][6070/14090]	Time 0.736 (0.750)	Data 0.001 (0.002)	Loss 2.0873 (2.1673)	Prec@1 45.312 (45.240)	Prec@5 74.219 (75.797)
Epoch: [55][6080/14090]	Time 0.758 (0.750)	Data 0.001 (0.002)	Loss 2.2084 (2.1674)	Prec@1 53.125 (45.242)	Prec@5 74.219 (75.798)
Epoch: [55][6090/14090]	Time 0.745 (0.750)	Data 0.001 (0.002)	Loss 2.3442 (2.1674)	Prec@1 43.750 (45.240)	Prec@5 71.875 (75.798)
Epoch: [55][6100/14090]	Time 0.722 (0.750)	Data 0.001 (0.002)	Loss 2.2646 (2.1673)	Prec@1 39.062 (45.246)	Prec@5 77.344 (75.799)
Epoch: [55][6110/14090]	Time 0.743 (0.750)	Data 0.001 (0.002)	Loss 2.3428 (2.1674)	Prec@1 45.312 (45.247)	Prec@5 71.094 (75.796)
Epoch: [55][6120/14090]	Time 0.764 (0.750)	Data 0.001 (0.002)	Loss 2.1816 (2.1674)	Prec@1 46.875 (45.248)	Prec@5 75.781 (75.795)
Epoch: [55][6130/14090]	Time 0.743 (0.750)	Data 0.002 (0.002)	Loss 2.3057 (2.1674)	Prec@1 46.094 (45.250)	Prec@5 73.438 (75.795)
Epoch: [55][6140/14090]	Time 0.755 (0.750)	Data 0.001 (0.002)	Loss 1.9844 (2.1674)	Prec@1 48.438 (45.249)	Prec@5 78.906 (75.794)
Epoch: [55][6150/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 2.6050 (2.1674)	Prec@1 34.375 (45.250)	Prec@5 75.000 (75.795)
Epoch: [55][6160/14090]	Time 0.771 (0.750)	Data 0.003 (0.002)	Loss 2.2747 (2.1673)	Prec@1 42.969 (45.252)	Prec@5 71.094 (75.798)
Epoch: [55][6170/14090]	Time 0.727 (0.750)	Data 0.001 (0.002)	Loss 1.9975 (2.1673)	Prec@1 53.906 (45.252)	Prec@5 77.344 (75.798)
Epoch: [55][6180/14090]	Time 0.766 (0.750)	Data 0.001 (0.002)	Loss 2.1281 (2.1672)	Prec@1 42.188 (45.252)	Prec@5 81.250 (75.800)
Epoch: [55][6190/14090]	Time 0.805 (0.750)	Data 0.001 (0.002)	Loss 2.4191 (2.1673)	Prec@1 41.406 (45.251)	Prec@5 70.312 (75.800)
Epoch: [55][6200/14090]	Time 0.782 (0.750)	Data 0.002 (0.002)	Loss 2.2309 (2.1674)	Prec@1 44.531 (45.248)	Prec@5 75.000 (75.800)
Epoch: [55][6210/14090]	Time 0.756 (0.750)	Data 0.001 (0.002)	Loss 2.3110 (2.1675)	Prec@1 44.531 (45.244)	Prec@5 75.000 (75.799)
Epoch: [55][6220/14090]	Time 0.738 (0.750)	Data 0.001 (0.002)	Loss 2.0816 (2.1676)	Prec@1 47.656 (45.245)	Prec@5 78.125 (75.798)
Epoch: [55][6230/14090]	Time 0.782 (0.750)	Data 0.001 (0.002)	Loss 2.0379 (2.1675)	Prec@1 49.219 (45.243)	Prec@5 75.781 (75.799)
Epoch: [55][6240/14090]	Time 0.734 (0.750)	Data 0.001 (0.002)	Loss 2.1240 (2.1676)	Prec@1 49.219 (45.242)	Prec@5 77.344 (75.799)
Epoch: [55][6250/14090]	Time 0.755 (0.750)	Data 0.001 (0.002)	Loss 2.3282 (2.1677)	Prec@1 40.625 (45.241)	Prec@5 76.562 (75.800)
Epoch: [55][6260/14090]	Time 0.744 (0.750)	Data 0.001 (0.002)	Loss 2.0395 (2.1676)	Prec@1 43.750 (45.241)	Prec@5 75.781 (75.800)
Epoch: [55][6270/14090]	Time 0.735 (0.750)	Data 0.002 (0.002)	Loss 2.5150 (2.1676)	Prec@1 39.844 (45.242)	Prec@5 71.875 (75.801)
Epoch: [55][6280/14090]	Time 0.772 (0.750)	Data 0.001 (0.002)	Loss 2.0874 (2.1674)	Prec@1 42.969 (45.245)	Prec@5 78.125 (75.804)
Epoch: [55][6290/14090]	Time 0.751 (0.750)	Data 0.001 (0.002)	Loss 2.1725 (2.1673)	Prec@1 44.531 (45.247)	Prec@5 74.219 (75.806)
Epoch: [55][6300/14090]	Time 0.746 (0.750)	Data 0.001 (0.002)	Loss 2.2430 (2.1674)	Prec@1 45.312 (45.249)	Prec@5 75.000 (75.805)
Epoch: [55][6310/14090]	Time 0.744 (0.750)	Data 0.001 (0.002)	Loss 1.9614 (2.1674)	Prec@1 52.344 (45.248)	Prec@5 76.562 (75.804)
Epoch: [55][6320/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 2.2614 (2.1674)	Prec@1 46.094 (45.248)	Prec@5 75.000 (75.803)
Epoch: [55][6330/14090]	Time 0.761 (0.750)	Data 0.001 (0.002)	Loss 2.4350 (2.1675)	Prec@1 39.844 (45.242)	Prec@5 68.750 (75.800)
Epoch: [55][6340/14090]	Time 0.748 (0.750)	Data 0.002 (0.002)	Loss 2.2067 (2.1675)	Prec@1 45.312 (45.238)	Prec@5 71.094 (75.800)
Epoch: [55][6350/14090]	Time 0.756 (0.750)	Data 0.001 (0.002)	Loss 2.0566 (2.1674)	Prec@1 48.438 (45.241)	Prec@5 78.125 (75.803)
Epoch: [55][6360/14090]	Time 0.770 (0.750)	Data 0.001 (0.002)	Loss 2.0097 (2.1674)	Prec@1 47.656 (45.240)	Prec@5 82.031 (75.802)
Epoch: [55][6370/14090]	Time 0.745 (0.750)	Data 0.001 (0.002)	Loss 2.1917 (2.1673)	Prec@1 43.750 (45.241)	Prec@5 75.000 (75.802)
Epoch: [55][6380/14090]	Time 0.757 (0.750)	Data 0.001 (0.002)	Loss 2.5626 (2.1675)	Prec@1 39.062 (45.239)	Prec@5 74.219 (75.798)
Epoch: [55][6390/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 2.2337 (2.1675)	Prec@1 43.750 (45.238)	Prec@5 71.875 (75.796)
Epoch: [55][6400/14090]	Time 0.741 (0.750)	Data 0.001 (0.002)	Loss 2.1884 (2.1675)	Prec@1 48.438 (45.235)	Prec@5 74.219 (75.796)
Epoch: [55][6410/14090]	Time 0.752 (0.750)	Data 0.002 (0.002)	Loss 2.1310 (2.1676)	Prec@1 46.094 (45.234)	Prec@5 75.781 (75.796)
Epoch: [55][6420/14090]	Time 0.751 (0.750)	Data 0.001 (0.002)	Loss 2.2480 (2.1676)	Prec@1 42.188 (45.233)	Prec@5 74.219 (75.797)
Epoch: [55][6430/14090]	Time 0.756 (0.750)	Data 0.001 (0.002)	Loss 2.1242 (2.1676)	Prec@1 44.531 (45.233)	Prec@5 77.344 (75.797)
Epoch: [55][6440/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 2.0983 (2.1676)	Prec@1 39.062 (45.232)	Prec@5 79.688 (75.797)
Epoch: [55][6450/14090]	Time 0.751 (0.750)	Data 0.001 (0.002)	Loss 1.9789 (2.1674)	Prec@1 50.000 (45.237)	Prec@5 80.469 (75.797)
Epoch: [55][6460/14090]	Time 0.778 (0.750)	Data 0.001 (0.002)	Loss 2.2660 (2.1674)	Prec@1 39.062 (45.242)	Prec@5 71.875 (75.798)
Epoch: [55][6470/14090]	Time 0.728 (0.750)	Data 0.001 (0.002)	Loss 2.0912 (2.1674)	Prec@1 51.562 (45.241)	Prec@5 75.000 (75.796)
Epoch: [55][6480/14090]	Time 0.739 (0.750)	Data 0.002 (0.002)	Loss 2.0522 (2.1674)	Prec@1 51.562 (45.242)	Prec@5 78.906 (75.792)
Epoch: [55][6490/14090]	Time 0.763 (0.750)	Data 0.001 (0.002)	Loss 2.1083 (2.1676)	Prec@1 44.531 (45.237)	Prec@5 76.562 (75.789)
Epoch: [55][6500/14090]	Time 0.737 (0.750)	Data 0.001 (0.002)	Loss 2.1384 (2.1675)	Prec@1 43.750 (45.239)	Prec@5 77.344 (75.789)
Epoch: [55][6510/14090]	Time 0.739 (0.750)	Data 0.001 (0.002)	Loss 2.0865 (2.1675)	Prec@1 50.781 (45.240)	Prec@5 76.562 (75.789)
Epoch: [55][6520/14090]	Time 0.782 (0.750)	Data 0.001 (0.002)	Loss 2.0016 (2.1676)	Prec@1 50.781 (45.240)	Prec@5 76.562 (75.788)
Epoch: [55][6530/14090]	Time 0.753 (0.750)	Data 0.001 (0.002)	Loss 1.8956 (2.1675)	Prec@1 53.125 (45.241)	Prec@5 80.469 (75.789)
Epoch: [55][6540/14090]	Time 0.753 (0.750)	Data 0.001 (0.002)	Loss 2.1350 (2.1675)	Prec@1 50.781 (45.242)	Prec@5 73.438 (75.786)
Epoch: [55][6550/14090]	Time 0.744 (0.750)	Data 0.002 (0.002)	Loss 2.0152 (2.1676)	Prec@1 49.219 (45.241)	Prec@5 79.688 (75.786)
Epoch: [55][6560/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 2.0400 (2.1677)	Prec@1 43.750 (45.238)	Prec@5 78.125 (75.786)
Epoch: [55][6570/14090]	Time 0.736 (0.750)	Data 0.001 (0.002)	Loss 2.4154 (2.1677)	Prec@1 38.281 (45.240)	Prec@5 75.000 (75.785)
Epoch: [55][6580/14090]	Time 0.755 (0.750)	Data 0.001 (0.002)	Loss 1.9519 (2.1678)	Prec@1 56.250 (45.239)	Prec@5 77.344 (75.785)
Epoch: [55][6590/14090]	Time 0.778 (0.750)	Data 0.001 (0.002)	Loss 2.1206 (2.1677)	Prec@1 46.875 (45.242)	Prec@5 71.875 (75.786)
Epoch: [55][6600/14090]	Time 0.751 (0.750)	Data 0.001 (0.002)	Loss 1.9759 (2.1677)	Prec@1 49.219 (45.243)	Prec@5 77.344 (75.786)
Epoch: [55][6610/14090]	Time 0.734 (0.750)	Data 0.001 (0.002)	Loss 2.2347 (2.1676)	Prec@1 44.531 (45.246)	Prec@5 74.219 (75.787)
Epoch: [55][6620/14090]	Time 0.755 (0.750)	Data 0.001 (0.002)	Loss 1.7383 (2.1675)	Prec@1 47.656 (45.249)	Prec@5 81.250 (75.791)
Epoch: [55][6630/14090]	Time 0.740 (0.750)	Data 0.001 (0.002)	Loss 2.0503 (2.1675)	Prec@1 42.969 (45.247)	Prec@5 86.719 (75.792)
Epoch: [55][6640/14090]	Time 0.764 (0.750)	Data 0.001 (0.002)	Loss 2.2260 (2.1675)	Prec@1 40.625 (45.245)	Prec@5 74.219 (75.789)
Epoch: [55][6650/14090]	Time 0.731 (0.750)	Data 0.001 (0.002)	Loss 2.0497 (2.1676)	Prec@1 53.906 (45.244)	Prec@5 78.906 (75.790)
Epoch: [55][6660/14090]	Time 0.751 (0.750)	Data 0.001 (0.002)	Loss 2.3476 (2.1676)	Prec@1 38.281 (45.244)	Prec@5 71.875 (75.789)
Epoch: [55][6670/14090]	Time 0.766 (0.750)	Data 0.001 (0.002)	Loss 2.4570 (2.1676)	Prec@1 46.875 (45.244)	Prec@5 69.531 (75.788)
Epoch: [55][6680/14090]	Time 0.733 (0.750)	Data 0.001 (0.002)	Loss 2.3027 (2.1676)	Prec@1 44.531 (45.245)	Prec@5 71.875 (75.785)
Epoch: [55][6690/14090]	Time 0.722 (0.750)	Data 0.002 (0.002)	Loss 2.2006 (2.1678)	Prec@1 40.625 (45.244)	Prec@5 75.000 (75.780)
Epoch: [55][6700/14090]	Time 0.760 (0.750)	Data 0.001 (0.002)	Loss 2.3551 (2.1677)	Prec@1 42.969 (45.247)	Prec@5 68.750 (75.781)
Epoch: [55][6710/14090]	Time 0.735 (0.750)	Data 0.001 (0.002)	Loss 2.2144 (2.1678)	Prec@1 37.500 (45.243)	Prec@5 79.688 (75.778)
Epoch: [55][6720/14090]	Time 0.772 (0.750)	Data 0.001 (0.002)	Loss 2.2370 (2.1678)	Prec@1 42.188 (45.245)	Prec@5 75.000 (75.777)
Epoch: [55][6730/14090]	Time 0.738 (0.750)	Data 0.001 (0.002)	Loss 2.2756 (2.1678)	Prec@1 42.188 (45.243)	Prec@5 71.875 (75.776)
Epoch: [55][6740/14090]	Time 0.717 (0.750)	Data 0.001 (0.002)	Loss 1.9829 (2.1679)	Prec@1 48.438 (45.242)	Prec@5 80.469 (75.776)
Epoch: [55][6750/14090]	Time 0.748 (0.750)	Data 0.001 (0.002)	Loss 2.0540 (2.1679)	Prec@1 47.656 (45.241)	Prec@5 77.344 (75.776)
Epoch: [55][6760/14090]	Time 0.762 (0.750)	Data 0.002 (0.002)	Loss 2.4192 (2.1678)	Prec@1 41.406 (45.240)	Prec@5 74.219 (75.778)
Epoch: [55][6770/14090]	Time 0.729 (0.750)	Data 0.001 (0.002)	Loss 2.2244 (2.1679)	Prec@1 46.094 (45.237)	Prec@5 77.344 (75.776)
Epoch: [55][6780/14090]	Time 0.754 (0.750)	Data 0.001 (0.002)	Loss 2.2052 (2.1680)	Prec@1 46.875 (45.237)	Prec@5 75.000 (75.774)
Epoch: [55][6790/14090]	Time 0.734 (0.750)	Data 0.001 (0.002)	Loss 1.9149 (2.1679)	Prec@1 51.562 (45.238)	Prec@5 79.688 (75.775)
Epoch: [55][6800/14090]	Time 0.751 (0.750)	Data 0.001 (0.002)	Loss 2.0425 (2.1680)	Prec@1 44.531 (45.236)	Prec@5 76.562 (75.774)
Epoch: [55][6810/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 1.9981 (2.1681)	Prec@1 46.094 (45.236)	Prec@5 79.688 (75.774)
Epoch: [55][6820/14090]	Time 0.756 (0.750)	Data 0.001 (0.002)	Loss 2.1193 (2.1681)	Prec@1 46.875 (45.232)	Prec@5 76.562 (75.774)
Epoch: [55][6830/14090]	Time 0.756 (0.750)	Data 0.002 (0.002)	Loss 2.1566 (2.1682)	Prec@1 46.094 (45.231)	Prec@5 78.125 (75.775)
Epoch: [55][6840/14090]	Time 0.736 (0.750)	Data 0.001 (0.002)	Loss 2.3694 (2.1682)	Prec@1 39.062 (45.231)	Prec@5 72.656 (75.773)
Epoch: [55][6850/14090]	Time 0.721 (0.750)	Data 0.001 (0.002)	Loss 2.1582 (2.1681)	Prec@1 42.188 (45.229)	Prec@5 78.906 (75.774)
Epoch: [55][6860/14090]	Time 0.730 (0.750)	Data 0.001 (0.002)	Loss 1.9590 (2.1681)	Prec@1 53.906 (45.230)	Prec@5 80.469 (75.776)
Epoch: [55][6870/14090]	Time 0.757 (0.750)	Data 0.001 (0.002)	Loss 2.0988 (2.1682)	Prec@1 45.312 (45.229)	Prec@5 81.250 (75.774)
Epoch: [55][6880/14090]	Time 0.729 (0.750)	Data 0.001 (0.002)	Loss 2.0206 (2.1682)	Prec@1 44.531 (45.226)	Prec@5 80.469 (75.772)
Epoch: [55][6890/14090]	Time 0.751 (0.750)	Data 0.001 (0.002)	Loss 2.0755 (2.1683)	Prec@1 46.875 (45.223)	Prec@5 74.219 (75.772)
Epoch: [55][6900/14090]	Time 0.734 (0.750)	Data 0.002 (0.002)	Loss 2.1365 (2.1684)	Prec@1 45.312 (45.222)	Prec@5 73.438 (75.769)
Epoch: [55][6910/14090]	Time 0.767 (0.750)	Data 0.001 (0.002)	Loss 2.1794 (2.1684)	Prec@1 43.750 (45.222)	Prec@5 76.562 (75.768)
Epoch: [55][6920/14090]	Time 0.756 (0.750)	Data 0.001 (0.002)	Loss 2.2611 (2.1684)	Prec@1 45.312 (45.222)	Prec@5 74.219 (75.768)
Epoch: [55][6930/14090]	Time 0.756 (0.750)	Data 0.001 (0.002)	Loss 2.0965 (2.1683)	Prec@1 46.094 (45.223)	Prec@5 78.906 (75.771)
Epoch: [55][6940/14090]	Time 0.757 (0.750)	Data 0.001 (0.002)	Loss 2.2509 (2.1684)	Prec@1 42.188 (45.220)	Prec@5 73.438 (75.769)
Epoch: [55][6950/14090]	Time 0.742 (0.750)	Data 0.001 (0.002)	Loss 2.1883 (2.1684)	Prec@1 45.312 (45.223)	Prec@5 77.344 (75.768)
Epoch: [55][6960/14090]	Time 0.747 (0.750)	Data 0.001 (0.002)	Loss 2.3178 (2.1684)	Prec@1 45.312 (45.226)	Prec@5 73.438 (75.767)
Epoch: [55][6970/14090]	Time 0.733 (0.750)	Data 0.002 (0.002)	Loss 2.1430 (2.1685)	Prec@1 41.406 (45.222)	Prec@5 79.688 (75.767)
Epoch: [55][6980/14090]	Time 0.757 (0.750)	Data 0.001 (0.002)	Loss 2.4286 (2.1687)	Prec@1 39.844 (45.220)	Prec@5 69.531 (75.763)
Epoch: [55][6990/14090]	Time 0.764 (0.750)	Data 0.001 (0.002)	Loss 2.1701 (2.1687)	Prec@1 50.000 (45.220)	Prec@5 77.344 (75.762)
Epoch: [55][7000/14090]	Time 0.742 (0.750)	Data 0.001 (0.002)	Loss 1.9465 (2.1687)	Prec@1 51.562 (45.219)	Prec@5 80.469 (75.763)
Epoch: [55][7010/14090]	Time 0.757 (0.750)	Data 0.001 (0.002)	Loss 2.3020 (2.1687)	Prec@1 43.750 (45.219)	Prec@5 66.406 (75.762)
Epoch: [55][7020/14090]	Time 0.733 (0.750)	Data 0.001 (0.002)	Loss 2.0585 (2.1688)	Prec@1 48.438 (45.218)	Prec@5 74.219 (75.759)
Epoch: [55][7030/14090]	Time 0.741 (0.750)	Data 0.001 (0.002)	Loss 2.3270 (2.1688)	Prec@1 43.750 (45.219)	Prec@5 72.656 (75.760)
Epoch: [55][7040/14090]	Time 0.759 (0.750)	Data 0.002 (0.002)	Loss 2.0327 (2.1687)	Prec@1 46.094 (45.221)	Prec@5 79.688 (75.762)
Epoch: [55][7050/14090]	Time 0.754 (0.750)	Data 0.001 (0.002)	Loss 2.4056 (2.1686)	Prec@1 45.312 (45.224)	Prec@5 67.969 (75.764)
Epoch: [55][7060/14090]	Time 0.745 (0.750)	Data 0.001 (0.002)	Loss 1.7176 (2.1685)	Prec@1 50.781 (45.227)	Prec@5 85.156 (75.766)
Epoch: [55][7070/14090]	Time 0.748 (0.750)	Data 0.001 (0.002)	Loss 1.8974 (2.1683)	Prec@1 46.094 (45.229)	Prec@5 83.594 (75.770)
Epoch: [55][7080/14090]	Time 0.786 (0.750)	Data 0.001 (0.002)	Loss 2.5038 (2.1683)	Prec@1 41.406 (45.227)	Prec@5 66.406 (75.770)
Epoch: [55][7090/14090]	Time 0.741 (0.750)	Data 0.001 (0.002)	Loss 2.4471 (2.1684)	Prec@1 37.500 (45.225)	Prec@5 66.406 (75.767)
Epoch: [55][7100/14090]	Time 0.782 (0.750)	Data 0.001 (0.002)	Loss 2.3348 (2.1684)	Prec@1 46.875 (45.225)	Prec@5 73.438 (75.767)
Epoch: [55][7110/14090]	Time 0.751 (0.750)	Data 0.002 (0.002)	Loss 2.3547 (2.1685)	Prec@1 36.719 (45.223)	Prec@5 68.750 (75.764)
Epoch: [55][7120/14090]	Time 0.732 (0.750)	Data 0.003 (0.002)	Loss 2.2193 (2.1685)	Prec@1 45.312 (45.223)	Prec@5 75.000 (75.764)
Epoch: [55][7130/14090]	Time 0.754 (0.750)	Data 0.001 (0.002)	Loss 2.1367 (2.1684)	Prec@1 43.750 (45.225)	Prec@5 77.344 (75.764)
Epoch: [55][7140/14090]	Time 0.736 (0.750)	Data 0.004 (0.002)	Loss 2.2354 (2.1684)	Prec@1 42.969 (45.225)	Prec@5 71.094 (75.764)
Epoch: [55][7150/14090]	Time 0.770 (0.750)	Data 0.001 (0.002)	Loss 2.1952 (2.1684)	Prec@1 44.531 (45.225)	Prec@5 75.781 (75.763)
Epoch: [55][7160/14090]	Time 0.745 (0.750)	Data 0.001 (0.002)	Loss 2.4332 (2.1685)	Prec@1 47.656 (45.225)	Prec@5 72.656 (75.762)
Epoch: [55][7170/14090]	Time 0.747 (0.750)	Data 0.001 (0.002)	Loss 2.2323 (2.1686)	Prec@1 44.531 (45.223)	Prec@5 73.438 (75.759)
Epoch: [55][7180/14090]	Time 0.755 (0.750)	Data 0.002 (0.002)	Loss 2.1245 (2.1686)	Prec@1 50.000 (45.224)	Prec@5 73.438 (75.757)
Epoch: [55][7190/14090]	Time 0.784 (0.750)	Data 0.001 (0.002)	Loss 2.2909 (2.1686)	Prec@1 41.406 (45.222)	Prec@5 71.094 (75.756)
Epoch: [55][7200/14090]	Time 0.768 (0.750)	Data 0.001 (0.002)	Loss 2.1878 (2.1685)	Prec@1 50.000 (45.224)	Prec@5 74.219 (75.758)
Epoch: [55][7210/14090]	Time 0.765 (0.750)	Data 0.001 (0.002)	Loss 1.9131 (2.1686)	Prec@1 48.438 (45.221)	Prec@5 81.250 (75.758)
Epoch: [55][7220/14090]	Time 0.751 (0.750)	Data 0.001 (0.002)	Loss 2.2691 (2.1685)	Prec@1 43.750 (45.221)	Prec@5 77.344 (75.760)
Epoch: [55][7230/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 2.2511 (2.1685)	Prec@1 44.531 (45.218)	Prec@5 72.656 (75.762)
Epoch: [55][7240/14090]	Time 0.780 (0.750)	Data 0.001 (0.002)	Loss 1.8088 (2.1685)	Prec@1 55.469 (45.219)	Prec@5 78.906 (75.763)
Epoch: [55][7250/14090]	Time 0.733 (0.750)	Data 0.002 (0.002)	Loss 1.8973 (2.1685)	Prec@1 53.125 (45.219)	Prec@5 82.812 (75.761)
Epoch: [55][7260/14090]	Time 0.759 (0.750)	Data 0.001 (0.002)	Loss 2.0924 (2.1685)	Prec@1 45.312 (45.219)	Prec@5 80.469 (75.761)
Epoch: [55][7270/14090]	Time 0.751 (0.750)	Data 0.001 (0.002)	Loss 1.9958 (2.1686)	Prec@1 46.875 (45.217)	Prec@5 78.125 (75.761)
Epoch: [55][7280/14090]	Time 0.755 (0.750)	Data 0.001 (0.002)	Loss 2.3873 (2.1686)	Prec@1 46.094 (45.218)	Prec@5 69.531 (75.762)
Epoch: [55][7290/14090]	Time 0.730 (0.749)	Data 0.001 (0.002)	Loss 2.1686 (2.1685)	Prec@1 44.531 (45.219)	Prec@5 78.125 (75.762)
Epoch: [55][7300/14090]	Time 0.751 (0.749)	Data 0.001 (0.002)	Loss 2.1228 (2.1684)	Prec@1 45.312 (45.220)	Prec@5 76.562 (75.764)
Epoch: [55][7310/14090]	Time 0.759 (0.749)	Data 0.001 (0.002)	Loss 2.1402 (2.1685)	Prec@1 43.750 (45.219)	Prec@5 74.219 (75.764)
Epoch: [55][7320/14090]	Time 0.753 (0.749)	Data 0.002 (0.002)	Loss 2.0246 (2.1685)	Prec@1 43.750 (45.216)	Prec@5 76.562 (75.764)
Epoch: [55][7330/14090]	Time 0.771 (0.749)	Data 0.001 (0.002)	Loss 1.8141 (2.1685)	Prec@1 53.125 (45.215)	Prec@5 83.594 (75.764)
Epoch: [55][7340/14090]	Time 0.753 (0.749)	Data 0.001 (0.002)	Loss 2.1206 (2.1685)	Prec@1 42.969 (45.214)	Prec@5 79.688 (75.763)
Epoch: [55][7350/14090]	Time 0.745 (0.749)	Data 0.002 (0.002)	Loss 1.9620 (2.1684)	Prec@1 51.562 (45.218)	Prec@5 77.344 (75.764)
Epoch: [55][7360/14090]	Time 0.752 (0.749)	Data 0.001 (0.002)	Loss 2.2970 (2.1683)	Prec@1 48.438 (45.217)	Prec@5 71.875 (75.765)
Epoch: [55][7370/14090]	Time 0.752 (0.749)	Data 0.001 (0.002)	Loss 2.2793 (2.1683)	Prec@1 45.312 (45.218)	Prec@5 75.000 (75.766)
Epoch: [55][7380/14090]	Time 0.726 (0.749)	Data 0.001 (0.002)	Loss 2.1263 (2.1683)	Prec@1 46.875 (45.220)	Prec@5 74.219 (75.768)
Epoch: [55][7390/14090]	Time 0.737 (0.749)	Data 0.002 (0.002)	Loss 2.0524 (2.1682)	Prec@1 48.438 (45.222)	Prec@5 75.000 (75.768)
Epoch: [55][7400/14090]	Time 0.738 (0.749)	Data 0.001 (0.002)	Loss 2.4659 (2.1683)	Prec@1 45.312 (45.221)	Prec@5 68.750 (75.768)
Epoch: [55][7410/14090]	Time 0.744 (0.749)	Data 0.001 (0.002)	Loss 2.3942 (2.1684)	Prec@1 43.750 (45.220)	Prec@5 68.750 (75.765)
Epoch: [55][7420/14090]	Time 0.758 (0.749)	Data 0.001 (0.002)	Loss 2.1376 (2.1684)	Prec@1 47.656 (45.222)	Prec@5 77.344 (75.766)
Epoch: [55][7430/14090]	Time 0.773 (0.749)	Data 0.001 (0.002)	Loss 1.9370 (2.1684)	Prec@1 49.219 (45.222)	Prec@5 77.344 (75.767)
Epoch: [55][7440/14090]	Time 0.737 (0.749)	Data 0.001 (0.002)	Loss 1.8247 (2.1685)	Prec@1 53.906 (45.222)	Prec@5 82.812 (75.766)
Epoch: [55][7450/14090]	Time 0.743 (0.749)	Data 0.001 (0.002)	Loss 1.9875 (2.1684)	Prec@1 46.875 (45.222)	Prec@5 79.688 (75.766)
Epoch: [55][7460/14090]	Time 0.731 (0.749)	Data 0.002 (0.002)	Loss 2.2815 (2.1684)	Prec@1 47.656 (45.224)	Prec@5 74.219 (75.767)
Epoch: [55][7470/14090]	Time 0.763 (0.749)	Data 0.001 (0.002)	Loss 2.3369 (2.1684)	Prec@1 40.625 (45.226)	Prec@5 74.219 (75.767)
Epoch: [55][7480/14090]	Time 0.754 (0.749)	Data 0.001 (0.002)	Loss 2.0669 (2.1685)	Prec@1 46.875 (45.225)	Prec@5 76.562 (75.765)
Epoch: [55][7490/14090]	Time 0.725 (0.749)	Data 0.001 (0.002)	Loss 2.0553 (2.1684)	Prec@1 50.781 (45.227)	Prec@5 79.688 (75.766)
Epoch: [55][7500/14090]	Time 0.744 (0.749)	Data 0.001 (0.002)	Loss 2.3444 (2.1684)	Prec@1 41.406 (45.229)	Prec@5 67.969 (75.767)
Epoch: [55][7510/14090]	Time 0.743 (0.749)	Data 0.001 (0.002)	Loss 2.1847 (2.1685)	Prec@1 41.406 (45.226)	Prec@5 76.562 (75.765)
Epoch: [55][7520/14090]	Time 0.770 (0.749)	Data 0.001 (0.002)	Loss 2.4037 (2.1685)	Prec@1 46.875 (45.227)	Prec@5 69.531 (75.764)
Epoch: [55][7530/14090]	Time 0.743 (0.749)	Data 0.002 (0.002)	Loss 2.0173 (2.1685)	Prec@1 49.219 (45.229)	Prec@5 81.250 (75.765)
Epoch: [55][7540/14090]	Time 0.774 (0.749)	Data 0.001 (0.002)	Loss 2.1363 (2.1685)	Prec@1 46.875 (45.230)	Prec@5 74.219 (75.764)
Epoch: [55][7550/14090]	Time 0.744 (0.749)	Data 0.001 (0.002)	Loss 1.9157 (2.1684)	Prec@1 51.562 (45.233)	Prec@5 81.250 (75.765)
Epoch: [55][7560/14090]	Time 0.747 (0.749)	Data 0.001 (0.002)	Loss 2.0630 (2.1684)	Prec@1 46.875 (45.233)	Prec@5 81.250 (75.765)
Epoch: [55][7570/14090]	Time 0.761 (0.749)	Data 0.001 (0.002)	Loss 2.4585 (2.1685)	Prec@1 38.281 (45.231)	Prec@5 72.656 (75.763)
Epoch: [55][7580/14090]	Time 0.729 (0.749)	Data 0.001 (0.002)	Loss 1.8681 (2.1684)	Prec@1 52.344 (45.233)	Prec@5 83.594 (75.766)
Epoch: [55][7590/14090]	Time 0.738 (0.749)	Data 0.001 (0.002)	Loss 2.1359 (2.1684)	Prec@1 50.000 (45.234)	Prec@5 73.438 (75.767)
Epoch: [55][7600/14090]	Time 0.747 (0.749)	Data 0.002 (0.002)	Loss 1.9988 (2.1683)	Prec@1 47.656 (45.234)	Prec@5 75.781 (75.769)
Epoch: [55][7610/14090]	Time 0.748 (0.749)	Data 0.001 (0.002)	Loss 2.2223 (2.1685)	Prec@1 44.531 (45.232)	Prec@5 81.250 (75.767)
Epoch: [55][7620/14090]	Time 0.727 (0.749)	Data 0.001 (0.002)	Loss 2.2250 (2.1684)	Prec@1 46.875 (45.234)	Prec@5 74.219 (75.767)
Epoch: [55][7630/14090]	Time 0.737 (0.749)	Data 0.002 (0.002)	Loss 2.1436 (2.1685)	Prec@1 42.188 (45.231)	Prec@5 74.219 (75.766)
Epoch: [55][7640/14090]	Time 0.748 (0.749)	Data 0.001 (0.002)	Loss 2.2775 (2.1685)	Prec@1 45.312 (45.231)	Prec@5 75.000 (75.766)
Epoch: [55][7650/14090]	Time 0.775 (0.749)	Data 0.001 (0.002)	Loss 2.0126 (2.1685)	Prec@1 50.000 (45.230)	Prec@5 81.250 (75.765)
Epoch: [55][7660/14090]	Time 0.730 (0.749)	Data 0.001 (0.002)	Loss 1.9758 (2.1685)	Prec@1 49.219 (45.229)	Prec@5 81.250 (75.767)
Epoch: [55][7670/14090]	Time 0.739 (0.749)	Data 0.002 (0.002)	Loss 2.1140 (2.1685)	Prec@1 46.875 (45.229)	Prec@5 74.219 (75.768)
Epoch: [55][7680/14090]	Time 0.741 (0.749)	Data 0.001 (0.002)	Loss 2.2169 (2.1684)	Prec@1 47.656 (45.229)	Prec@5 74.219 (75.769)
Epoch: [55][7690/14090]	Time 0.758 (0.749)	Data 0.001 (0.002)	Loss 2.2934 (2.1683)	Prec@1 44.531 (45.232)	Prec@5 72.656 (75.770)
Epoch: [55][7700/14090]	Time 0.770 (0.749)	Data 0.001 (0.002)	Loss 2.2817 (2.1684)	Prec@1 39.844 (45.232)	Prec@5 70.312 (75.768)
Epoch: [55][7710/14090]	Time 0.739 (0.749)	Data 0.001 (0.002)	Loss 2.1208 (2.1684)	Prec@1 45.312 (45.229)	Prec@5 78.906 (75.768)
Epoch: [55][7720/14090]	Time 0.776 (0.749)	Data 0.001 (0.002)	Loss 1.9557 (2.1684)	Prec@1 53.125 (45.228)	Prec@5 84.375 (75.771)
Epoch: [55][7730/14090]	Time 0.751 (0.749)	Data 0.001 (0.002)	Loss 2.1379 (2.1684)	Prec@1 39.062 (45.227)	Prec@5 76.562 (75.773)
Epoch: [55][7740/14090]	Time 0.734 (0.749)	Data 0.002 (0.002)	Loss 2.2830 (2.1684)	Prec@1 43.750 (45.226)	Prec@5 75.000 (75.772)
Epoch: [55][7750/14090]	Time 0.781 (0.749)	Data 0.001 (0.002)	Loss 2.1072 (2.1684)	Prec@1 45.312 (45.227)	Prec@5 75.000 (75.773)
Epoch: [55][7760/14090]	Time 0.754 (0.749)	Data 0.001 (0.002)	Loss 2.2600 (2.1685)	Prec@1 41.406 (45.224)	Prec@5 75.781 (75.773)
Epoch: [55][7770/14090]	Time 0.733 (0.749)	Data 0.001 (0.002)	Loss 2.5107 (2.1686)	Prec@1 38.281 (45.223)	Prec@5 71.094 (75.773)
Epoch: [55][7780/14090]	Time 0.742 (0.749)	Data 0.001 (0.002)	Loss 1.9841 (2.1686)	Prec@1 46.094 (45.223)	Prec@5 83.594 (75.774)
Epoch: [55][7790/14090]	Time 0.732 (0.749)	Data 0.001 (0.002)	Loss 2.2170 (2.1686)	Prec@1 42.188 (45.223)	Prec@5 79.688 (75.776)
Epoch: [55][7800/14090]	Time 0.767 (0.749)	Data 0.001 (0.002)	Loss 2.2485 (2.1685)	Prec@1 42.188 (45.222)	Prec@5 73.438 (75.776)
Epoch: [55][7810/14090]	Time 0.734 (0.749)	Data 0.002 (0.002)	Loss 2.2177 (2.1685)	Prec@1 43.750 (45.220)	Prec@5 80.469 (75.777)
Epoch: [55][7820/14090]	Time 0.732 (0.749)	Data 0.001 (0.002)	Loss 1.8471 (2.1684)	Prec@1 50.000 (45.220)	Prec@5 82.031 (75.778)
Epoch: [55][7830/14090]	Time 0.738 (0.749)	Data 0.001 (0.002)	Loss 1.8324 (2.1685)	Prec@1 49.219 (45.218)	Prec@5 85.156 (75.776)
Epoch: [55][7840/14090]	Time 0.782 (0.749)	Data 0.001 (0.002)	Loss 2.2787 (2.1686)	Prec@1 39.062 (45.214)	Prec@5 77.344 (75.774)
Epoch: [55][7850/14090]	Time 0.731 (0.749)	Data 0.001 (0.002)	Loss 1.9196 (2.1686)	Prec@1 50.781 (45.214)	Prec@5 80.469 (75.774)
Epoch: [55][7860/14090]	Time 0.778 (0.749)	Data 0.001 (0.002)	Loss 2.1267 (2.1686)	Prec@1 39.844 (45.213)	Prec@5 79.688 (75.776)
Epoch: [55][7870/14090]	Time 0.750 (0.749)	Data 0.001 (0.002)	Loss 2.1817 (2.1687)	Prec@1 48.438 (45.212)	Prec@5 75.781 (75.774)
Epoch: [55][7880/14090]	Time 0.754 (0.749)	Data 0.002 (0.002)	Loss 1.8851 (2.1687)	Prec@1 48.438 (45.211)	Prec@5 81.250 (75.775)
Epoch: [55][7890/14090]	Time 0.745 (0.749)	Data 0.001 (0.002)	Loss 2.0766 (2.1686)	Prec@1 43.750 (45.211)	Prec@5 77.344 (75.777)
Epoch: [55][7900/14090]	Time 0.731 (0.749)	Data 0.001 (0.002)	Loss 1.9794 (2.1687)	Prec@1 48.438 (45.209)	Prec@5 78.906 (75.777)
Epoch: [55][7910/14090]	Time 0.757 (0.749)	Data 0.001 (0.002)	Loss 2.0861 (2.1686)	Prec@1 48.438 (45.209)	Prec@5 78.906 (75.777)
Epoch: [55][7920/14090]	Time 0.751 (0.749)	Data 0.001 (0.002)	Loss 2.2229 (2.1686)	Prec@1 42.188 (45.207)	Prec@5 75.781 (75.778)
Epoch: [55][7930/14090]	Time 0.761 (0.749)	Data 0.001 (0.002)	Loss 2.2700 (2.1685)	Prec@1 42.969 (45.209)	Prec@5 71.875 (75.779)
Epoch: [55][7940/14090]	Time 0.740 (0.749)	Data 0.001 (0.002)	Loss 2.0841 (2.1684)	Prec@1 46.094 (45.210)	Prec@5 79.688 (75.781)
Epoch: [55][7950/14090]	Time 0.740 (0.749)	Data 0.002 (0.002)	Loss 2.1196 (2.1684)	Prec@1 42.969 (45.209)	Prec@5 79.688 (75.781)
Epoch: [55][7960/14090]	Time 0.758 (0.749)	Data 0.001 (0.002)	Loss 1.9654 (2.1684)	Prec@1 50.781 (45.212)	Prec@5 80.469 (75.781)
Epoch: [55][7970/14090]	Time 0.749 (0.749)	Data 0.001 (0.002)	Loss 2.1522 (2.1685)	Prec@1 44.531 (45.210)	Prec@5 76.562 (75.779)
Epoch: [55][7980/14090]	Time 0.741 (0.749)	Data 0.001 (0.002)	Loss 2.3970 (2.1684)	Prec@1 38.281 (45.212)	Prec@5 75.000 (75.781)
Epoch: [55][7990/14090]	Time 0.762 (0.749)	Data 0.001 (0.002)	Loss 2.2390 (2.1683)	Prec@1 44.531 (45.214)	Prec@5 74.219 (75.781)
Epoch: [55][8000/14090]	Time 0.754 (0.749)	Data 0.001 (0.002)	Loss 2.3680 (2.1684)	Prec@1 41.406 (45.215)	Prec@5 74.219 (75.782)
Epoch: [55][8010/14090]	Time 0.727 (0.749)	Data 0.001 (0.002)	Loss 2.1956 (2.1684)	Prec@1 46.094 (45.214)	Prec@5 74.219 (75.781)
Epoch: [55][8020/14090]	Time 0.738 (0.749)	Data 0.002 (0.002)	Loss 1.9541 (2.1685)	Prec@1 51.562 (45.214)	Prec@5 78.125 (75.779)
Epoch: [55][8030/14090]	Time 0.760 (0.749)	Data 0.001 (0.002)	Loss 2.1941 (2.1685)	Prec@1 39.844 (45.214)	Prec@5 74.219 (75.778)
Epoch: [55][8040/14090]	Time 0.749 (0.749)	Data 0.001 (0.002)	Loss 1.8883 (2.1684)	Prec@1 50.781 (45.215)	Prec@5 81.250 (75.779)
Epoch: [55][8050/14090]	Time 0.770 (0.749)	Data 0.001 (0.002)	Loss 1.9170 (2.1683)	Prec@1 51.562 (45.216)	Prec@5 78.906 (75.780)
Epoch: [55][8060/14090]	Time 0.745 (0.749)	Data 0.001 (0.002)	Loss 2.0788 (2.1683)	Prec@1 48.438 (45.217)	Prec@5 73.438 (75.780)
Epoch: [55][8070/14090]	Time 0.766 (0.749)	Data 0.001 (0.002)	Loss 1.8181 (2.1683)	Prec@1 53.125 (45.219)	Prec@5 83.594 (75.781)
Epoch: [55][8080/14090]	Time 0.750 (0.749)	Data 0.001 (0.002)	Loss 2.0907 (2.1682)	Prec@1 42.969 (45.220)	Prec@5 81.250 (75.783)
Epoch: [55][8090/14090]	Time 0.755 (0.749)	Data 0.002 (0.002)	Loss 2.1373 (2.1683)	Prec@1 43.750 (45.218)	Prec@5 74.219 (75.782)
Epoch: [55][8100/14090]	Time 0.744 (0.749)	Data 0.001 (0.002)	Loss 2.0842 (2.1682)	Prec@1 46.094 (45.220)	Prec@5 76.562 (75.783)
Epoch: [55][8110/14090]	Time 0.779 (0.749)	Data 0.001 (0.002)	Loss 2.0069 (2.1681)	Prec@1 50.000 (45.220)	Prec@5 77.344 (75.785)
Epoch: [55][8120/14090]	Time 0.757 (0.749)	Data 0.001 (0.002)	Loss 2.4396 (2.1682)	Prec@1 39.844 (45.215)	Prec@5 71.094 (75.783)
Epoch: [55][8130/14090]	Time 0.762 (0.749)	Data 0.001 (0.002)	Loss 2.1453 (2.1681)	Prec@1 46.094 (45.215)	Prec@5 75.781 (75.784)
Epoch: [55][8140/14090]	Time 0.781 (0.749)	Data 0.001 (0.002)	Loss 1.9219 (2.1683)	Prec@1 50.000 (45.212)	Prec@5 80.469 (75.783)
Epoch: [55][8150/14090]	Time 0.756 (0.749)	Data 0.001 (0.002)	Loss 1.9875 (2.1682)	Prec@1 51.562 (45.213)	Prec@5 75.781 (75.783)
Epoch: [55][8160/14090]	Time 0.745 (0.749)	Data 0.002 (0.002)	Loss 2.2481 (2.1682)	Prec@1 41.406 (45.213)	Prec@5 73.438 (75.784)
Epoch: [55][8170/14090]	Time 0.753 (0.749)	Data 0.001 (0.002)	Loss 2.1977 (2.1681)	Prec@1 47.656 (45.215)	Prec@5 71.094 (75.784)
Epoch: [55][8180/14090]	Time 0.757 (0.749)	Data 0.001 (0.002)	Loss 2.0245 (2.1681)	Prec@1 44.531 (45.217)	Prec@5 79.688 (75.785)
Epoch: [55][8190/14090]	Time 0.749 (0.749)	Data 0.001 (0.002)	Loss 2.4173 (2.1681)	Prec@1 40.625 (45.215)	Prec@5 72.656 (75.784)
Epoch: [55][8200/14090]	Time 0.753 (0.749)	Data 0.001 (0.002)	Loss 2.2284 (2.1681)	Prec@1 43.750 (45.215)	Prec@5 72.656 (75.781)
Epoch: [55][8210/14090]	Time 0.749 (0.749)	Data 0.001 (0.002)	Loss 2.0909 (2.1680)	Prec@1 46.875 (45.217)	Prec@5 78.906 (75.782)
Epoch: [55][8220/14090]	Time 0.758 (0.749)	Data 0.001 (0.002)	Loss 1.9426 (2.1681)	Prec@1 42.969 (45.217)	Prec@5 79.688 (75.781)
Epoch: [55][8230/14090]	Time 0.734 (0.749)	Data 0.002 (0.002)	Loss 2.0730 (2.1682)	Prec@1 47.656 (45.215)	Prec@5 73.438 (75.780)
Epoch: [55][8240/14090]	Time 0.779 (0.749)	Data 0.001 (0.002)	Loss 2.3129 (2.1683)	Prec@1 39.062 (45.211)	Prec@5 76.562 (75.779)
Epoch: [55][8250/14090]	Time 0.741 (0.749)	Data 0.001 (0.002)	Loss 2.1532 (2.1683)	Prec@1 46.094 (45.210)	Prec@5 77.344 (75.779)
Epoch: [55][8260/14090]	Time 0.749 (0.749)	Data 0.001 (0.002)	Loss 2.3121 (2.1683)	Prec@1 42.188 (45.211)	Prec@5 75.000 (75.780)
Epoch: [55][8270/14090]	Time 0.748 (0.749)	Data 0.001 (0.002)	Loss 2.0293 (2.1684)	Prec@1 46.875 (45.208)	Prec@5 79.688 (75.779)
Epoch: [55][8280/14090]	Time 0.733 (0.749)	Data 0.001 (0.002)	Loss 2.2824 (2.1684)	Prec@1 42.188 (45.207)	Prec@5 71.094 (75.780)
Epoch: [55][8290/14090]	Time 0.779 (0.749)	Data 0.001 (0.002)	Loss 2.5222 (2.1684)	Prec@1 37.500 (45.205)	Prec@5 74.219 (75.780)
Epoch: [55][8300/14090]	Time 0.743 (0.749)	Data 0.002 (0.002)	Loss 2.0519 (2.1684)	Prec@1 46.094 (45.206)	Prec@5 77.344 (75.781)
Epoch: [55][8310/14090]	Time 0.753 (0.749)	Data 0.001 (0.002)	Loss 2.1308 (2.1684)	Prec@1 43.750 (45.205)	Prec@5 75.000 (75.780)
Epoch: [55][8320/14090]	Time 0.734 (0.749)	Data 0.001 (0.002)	Loss 2.2091 (2.1686)	Prec@1 53.125 (45.202)	Prec@5 78.125 (75.776)
Epoch: [55][8330/14090]	Time 0.754 (0.749)	Data 0.001 (0.002)	Loss 2.2378 (2.1686)	Prec@1 40.625 (45.201)	Prec@5 73.438 (75.775)
Epoch: [55][8340/14090]	Time 0.749 (0.749)	Data 0.001 (0.002)	Loss 2.1704 (2.1687)	Prec@1 46.875 (45.199)	Prec@5 75.781 (75.773)
Epoch: [55][8350/14090]	Time 0.741 (0.749)	Data 0.001 (0.002)	Loss 2.2471 (2.1686)	Prec@1 44.531 (45.200)	Prec@5 74.219 (75.774)
Epoch: [55][8360/14090]	Time 0.730 (0.749)	Data 0.001 (0.002)	Loss 2.3508 (2.1686)	Prec@1 43.750 (45.200)	Prec@5 71.875 (75.775)
Epoch: [55][8370/14090]	Time 0.761 (0.749)	Data 0.002 (0.002)	Loss 2.1010 (2.1686)	Prec@1 51.562 (45.201)	Prec@5 76.562 (75.776)
Epoch: [55][8380/14090]	Time 0.743 (0.749)	Data 0.001 (0.002)	Loss 2.4988 (2.1685)	Prec@1 39.062 (45.201)	Prec@5 70.312 (75.778)
Epoch: [55][8390/14090]	Time 0.775 (0.749)	Data 0.001 (0.002)	Loss 2.5994 (2.1686)	Prec@1 32.812 (45.200)	Prec@5 65.625 (75.776)
Epoch: [55][8400/14090]	Time 0.746 (0.749)	Data 0.002 (0.002)	Loss 2.2285 (2.1686)	Prec@1 45.312 (45.199)	Prec@5 76.562 (75.775)
Epoch: [55][8410/14090]	Time 0.769 (0.749)	Data 0.001 (0.002)	Loss 2.2102 (2.1686)	Prec@1 44.531 (45.199)	Prec@5 74.219 (75.775)
Epoch: [55][8420/14090]	Time 0.755 (0.749)	Data 0.001 (0.002)	Loss 2.2190 (2.1686)	Prec@1 40.625 (45.197)	Prec@5 70.312 (75.774)
Epoch: [55][8430/14090]	Time 0.752 (0.749)	Data 0.001 (0.002)	Loss 2.0896 (2.1686)	Prec@1 47.656 (45.199)	Prec@5 79.688 (75.774)
Epoch: [55][8440/14090]	Time 0.740 (0.749)	Data 0.002 (0.002)	Loss 1.9314 (2.1686)	Prec@1 51.562 (45.199)	Prec@5 77.344 (75.774)
Epoch: [55][8450/14090]	Time 0.757 (0.749)	Data 0.001 (0.002)	Loss 2.3681 (2.1686)	Prec@1 43.750 (45.198)	Prec@5 70.312 (75.773)
Epoch: [55][8460/14090]	Time 0.769 (0.749)	Data 0.001 (0.002)	Loss 2.1079 (2.1687)	Prec@1 43.750 (45.195)	Prec@5 78.125 (75.775)
Epoch: [55][8470/14090]	Time 0.755 (0.749)	Data 0.001 (0.002)	Loss 2.3123 (2.1687)	Prec@1 42.188 (45.195)	Prec@5 75.781 (75.773)
Epoch: [55][8480/14090]	Time 0.800 (0.749)	Data 0.003 (0.002)	Loss 2.1360 (2.1689)	Prec@1 48.438 (45.193)	Prec@5 74.219 (75.772)
Epoch: [55][8490/14090]	Time 0.745 (0.749)	Data 0.001 (0.002)	Loss 2.2057 (2.1689)	Prec@1 48.438 (45.193)	Prec@5 73.438 (75.771)
Epoch: [55][8500/14090]	Time 0.737 (0.749)	Data 0.001 (0.002)	Loss 2.0461 (2.1690)	Prec@1 52.344 (45.190)	Prec@5 73.438 (75.768)
Epoch: [55][8510/14090]	Time 0.748 (0.749)	Data 0.002 (0.002)	Loss 2.3595 (2.1690)	Prec@1 42.188 (45.191)	Prec@5 70.312 (75.766)
Epoch: [55][8520/14090]	Time 0.770 (0.749)	Data 0.001 (0.002)	Loss 2.1953 (2.1690)	Prec@1 42.969 (45.194)	Prec@5 73.438 (75.765)
Epoch: [55][8530/14090]	Time 0.734 (0.749)	Data 0.001 (0.002)	Loss 2.3089 (2.1691)	Prec@1 46.094 (45.194)	Prec@5 72.656 (75.764)
Epoch: [55][8540/14090]	Time 0.785 (0.749)	Data 0.001 (0.002)	Loss 2.1475 (2.1691)	Prec@1 44.531 (45.194)	Prec@5 74.219 (75.764)
Epoch: [55][8550/14090]	Time 0.735 (0.749)	Data 0.001 (0.002)	Loss 2.3232 (2.1692)	Prec@1 39.844 (45.194)	Prec@5 75.781 (75.764)
Epoch: [55][8560/14090]	Time 0.758 (0.749)	Data 0.001 (0.002)	Loss 2.2201 (2.1691)	Prec@1 40.625 (45.193)	Prec@5 75.781 (75.765)
Epoch: [55][8570/14090]	Time 0.756 (0.749)	Data 0.001 (0.002)	Loss 2.1147 (2.1692)	Prec@1 50.000 (45.193)	Prec@5 76.562 (75.765)
Epoch: [55][8580/14090]	Time 0.751 (0.749)	Data 0.002 (0.002)	Loss 2.3229 (2.1692)	Prec@1 42.188 (45.193)	Prec@5 72.656 (75.764)
Epoch: [55][8590/14090]	Time 0.788 (0.749)	Data 0.001 (0.002)	Loss 2.7103 (2.1692)	Prec@1 37.500 (45.193)	Prec@5 70.312 (75.765)
Epoch: [55][8600/14090]	Time 0.739 (0.749)	Data 0.001 (0.002)	Loss 2.4283 (2.1693)	Prec@1 43.750 (45.193)	Prec@5 67.188 (75.763)
Epoch: [55][8610/14090]	Time 0.735 (0.749)	Data 0.001 (0.002)	Loss 1.9936 (2.1694)	Prec@1 47.656 (45.192)	Prec@5 78.906 (75.761)
Epoch: [55][8620/14090]	Time 0.743 (0.749)	Data 0.001 (0.002)	Loss 2.1332 (2.1693)	Prec@1 44.531 (45.193)	Prec@5 77.344 (75.762)
Epoch: [55][8630/14090]	Time 0.742 (0.749)	Data 0.001 (0.002)	Loss 2.0169 (2.1692)	Prec@1 46.875 (45.195)	Prec@5 84.375 (75.765)
Epoch: [55][8640/14090]	Time 0.774 (0.749)	Data 0.003 (0.002)	Loss 2.1377 (2.1692)	Prec@1 39.844 (45.195)	Prec@5 79.688 (75.764)
Epoch: [55][8650/14090]	Time 0.731 (0.749)	Data 0.002 (0.002)	Loss 2.1852 (2.1693)	Prec@1 46.094 (45.195)	Prec@5 74.219 (75.762)
Epoch: [55][8660/14090]	Time 0.762 (0.749)	Data 0.001 (0.002)	Loss 2.4097 (2.1694)	Prec@1 40.625 (45.191)	Prec@5 74.219 (75.760)
Epoch: [55][8670/14090]	Time 0.740 (0.749)	Data 0.001 (0.002)	Loss 2.3098 (2.1695)	Prec@1 39.844 (45.189)	Prec@5 78.906 (75.759)
Epoch: [55][8680/14090]	Time 0.752 (0.749)	Data 0.001 (0.002)	Loss 2.3977 (2.1695)	Prec@1 37.500 (45.188)	Prec@5 71.094 (75.759)
Epoch: [55][8690/14090]	Time 0.746 (0.749)	Data 0.001 (0.002)	Loss 2.5909 (2.1696)	Prec@1 42.969 (45.188)	Prec@5 65.625 (75.758)
Epoch: [55][8700/14090]	Time 0.757 (0.749)	Data 0.001 (0.002)	Loss 2.1939 (2.1696)	Prec@1 45.312 (45.186)	Prec@5 78.125 (75.759)
Epoch: [55][8710/14090]	Time 0.782 (0.749)	Data 0.001 (0.002)	Loss 2.2039 (2.1697)	Prec@1 43.750 (45.185)	Prec@5 76.562 (75.758)
Epoch: [55][8720/14090]	Time 0.737 (0.749)	Data 0.002 (0.002)	Loss 2.2369 (2.1697)	Prec@1 44.531 (45.183)	Prec@5 76.562 (75.758)
Epoch: [55][8730/14090]	Time 0.732 (0.749)	Data 0.001 (0.002)	Loss 1.9069 (2.1698)	Prec@1 48.438 (45.179)	Prec@5 78.125 (75.756)
Epoch: [55][8740/14090]	Time 0.749 (0.749)	Data 0.001 (0.002)	Loss 2.2567 (2.1699)	Prec@1 45.312 (45.178)	Prec@5 75.000 (75.756)
Epoch: [55][8750/14090]	Time 0.743 (0.749)	Data 0.001 (0.002)	Loss 2.6806 (2.1699)	Prec@1 37.500 (45.178)	Prec@5 71.094 (75.758)
Epoch: [55][8760/14090]	Time 0.752 (0.749)	Data 0.001 (0.002)	Loss 2.2977 (2.1700)	Prec@1 41.406 (45.176)	Prec@5 72.656 (75.756)
Epoch: [55][8770/14090]	Time 0.759 (0.749)	Data 0.001 (0.002)	Loss 2.0688 (2.1700)	Prec@1 43.750 (45.176)	Prec@5 77.344 (75.756)
Epoch: [55][8780/14090]	Time 0.744 (0.749)	Data 0.001 (0.002)	Loss 1.8343 (2.1700)	Prec@1 53.125 (45.177)	Prec@5 82.031 (75.757)
Epoch: [55][8790/14090]	Time 0.765 (0.749)	Data 0.002 (0.002)	Loss 2.3098 (2.1700)	Prec@1 42.969 (45.177)	Prec@5 73.438 (75.758)
Epoch: [55][8800/14090]	Time 0.756 (0.749)	Data 0.002 (0.002)	Loss 2.4616 (2.1700)	Prec@1 41.406 (45.177)	Prec@5 72.656 (75.758)
Epoch: [55][8810/14090]	Time 0.728 (0.749)	Data 0.001 (0.002)	Loss 2.0357 (2.1700)	Prec@1 46.875 (45.179)	Prec@5 81.250 (75.760)
Epoch: [55][8820/14090]	Time 0.745 (0.749)	Data 0.001 (0.002)	Loss 2.1018 (2.1700)	Prec@1 50.781 (45.182)	Prec@5 75.000 (75.759)
Epoch: [55][8830/14090]	Time 0.797 (0.749)	Data 0.001 (0.002)	Loss 1.9367 (2.1700)	Prec@1 46.094 (45.180)	Prec@5 81.250 (75.758)
Epoch: [55][8840/14090]	Time 0.764 (0.749)	Data 0.001 (0.002)	Loss 2.3535 (2.1701)	Prec@1 37.500 (45.179)	Prec@5 75.000 (75.757)
Epoch: [55][8850/14090]	Time 0.738 (0.749)	Data 0.001 (0.002)	Loss 2.4958 (2.1701)	Prec@1 35.938 (45.176)	Prec@5 70.312 (75.756)
Epoch: [55][8860/14090]	Time 0.745 (0.749)	Data 0.002 (0.002)	Loss 2.5643 (2.1702)	Prec@1 38.281 (45.174)	Prec@5 68.750 (75.758)
Epoch: [55][8870/14090]	Time 0.729 (0.749)	Data 0.001 (0.002)	Loss 2.2394 (2.1702)	Prec@1 45.312 (45.176)	Prec@5 75.781 (75.756)
Epoch: [55][8880/14090]	Time 0.755 (0.749)	Data 0.001 (0.002)	Loss 2.4670 (2.1703)	Prec@1 41.406 (45.174)	Prec@5 66.406 (75.754)
Epoch: [55][8890/14090]	Time 0.731 (0.749)	Data 0.001 (0.002)	Loss 2.1357 (2.1703)	Prec@1 46.875 (45.175)	Prec@5 78.125 (75.754)
Epoch: [55][8900/14090]	Time 0.757 (0.749)	Data 0.001 (0.002)	Loss 2.2009 (2.1702)	Prec@1 42.969 (45.177)	Prec@5 75.000 (75.755)
Epoch: [55][8910/14090]	Time 0.764 (0.749)	Data 0.001 (0.002)	Loss 2.1090 (2.1702)	Prec@1 43.750 (45.178)	Prec@5 76.562 (75.754)
Epoch: [55][8920/14090]	Time 0.732 (0.749)	Data 0.001 (0.002)	Loss 2.0033 (2.1702)	Prec@1 52.344 (45.180)	Prec@5 77.344 (75.754)
Epoch: [55][8930/14090]	Time 0.763 (0.749)	Data 0.002 (0.002)	Loss 1.9639 (2.1701)	Prec@1 41.406 (45.180)	Prec@5 81.250 (75.754)
Epoch: [55][8940/14090]	Time 0.764 (0.749)	Data 0.001 (0.002)	Loss 2.4951 (2.1701)	Prec@1 44.531 (45.179)	Prec@5 67.969 (75.754)
Epoch: [55][8950/14090]	Time 0.726 (0.749)	Data 0.001 (0.002)	Loss 2.3086 (2.1702)	Prec@1 38.281 (45.178)	Prec@5 73.438 (75.753)
Epoch: [55][8960/14090]	Time 0.742 (0.749)	Data 0.001 (0.002)	Loss 2.4592 (2.1702)	Prec@1 43.750 (45.179)	Prec@5 73.438 (75.754)
Epoch: [55][8970/14090]	Time 0.736 (0.749)	Data 0.001 (0.002)	Loss 1.8480 (2.1701)	Prec@1 53.125 (45.181)	Prec@5 80.469 (75.754)
Epoch: [55][8980/14090]	Time 0.746 (0.749)	Data 0.001 (0.002)	Loss 1.9940 (2.1700)	Prec@1 47.656 (45.183)	Prec@5 79.688 (75.757)
Epoch: [55][8990/14090]	Time 0.736 (0.749)	Data 0.001 (0.002)	Loss 2.3120 (2.1701)	Prec@1 42.969 (45.181)	Prec@5 70.312 (75.755)
Epoch: [55][9000/14090]	Time 0.764 (0.749)	Data 0.002 (0.002)	Loss 2.1375 (2.1699)	Prec@1 44.531 (45.184)	Prec@5 75.000 (75.759)
Epoch: [55][9010/14090]	Time 0.731 (0.749)	Data 0.001 (0.002)	Loss 2.2336 (2.1699)	Prec@1 49.219 (45.185)	Prec@5 74.219 (75.759)
Epoch: [55][9020/14090]	Time 0.761 (0.749)	Data 0.001 (0.002)	Loss 2.2967 (2.1699)	Prec@1 40.625 (45.184)	Prec@5 69.531 (75.758)
Epoch: [55][9030/14090]	Time 0.731 (0.749)	Data 0.001 (0.002)	Loss 2.2469 (2.1699)	Prec@1 42.969 (45.184)	Prec@5 76.562 (75.759)
Epoch: [55][9040/14090]	Time 0.754 (0.749)	Data 0.001 (0.002)	Loss 2.0923 (2.1699)	Prec@1 45.312 (45.184)	Prec@5 75.000 (75.758)
Epoch: [55][9050/14090]	Time 0.750 (0.749)	Data 0.001 (0.002)	Loss 2.2286 (2.1699)	Prec@1 44.531 (45.182)	Prec@5 70.312 (75.756)
Epoch: [55][9060/14090]	Time 0.740 (0.749)	Data 0.001 (0.002)	Loss 2.2022 (2.1700)	Prec@1 45.312 (45.182)	Prec@5 76.562 (75.757)
Epoch: [55][9070/14090]	Time 0.745 (0.749)	Data 0.002 (0.002)	Loss 2.1829 (2.1699)	Prec@1 47.656 (45.181)	Prec@5 71.094 (75.758)
Epoch: [55][9080/14090]	Time 0.749 (0.749)	Data 0.001 (0.002)	Loss 2.0015 (2.1699)	Prec@1 49.219 (45.180)	Prec@5 80.469 (75.758)
Epoch: [55][9090/14090]	Time 0.740 (0.749)	Data 0.001 (0.002)	Loss 2.2181 (2.1700)	Prec@1 46.094 (45.180)	Prec@5 71.875 (75.757)
Epoch: [55][9100/14090]	Time 0.755 (0.749)	Data 0.001 (0.002)	Loss 2.0259 (2.1701)	Prec@1 46.094 (45.179)	Prec@5 78.906 (75.756)
Epoch: [55][9110/14090]	Time 0.747 (0.749)	Data 0.001 (0.002)	Loss 2.2070 (2.1701)	Prec@1 41.406 (45.181)	Prec@5 79.688 (75.756)
Epoch: [55][9120/14090]	Time 0.747 (0.749)	Data 0.001 (0.002)	Loss 2.0363 (2.1700)	Prec@1 42.969 (45.183)	Prec@5 77.344 (75.758)
Epoch: [55][9130/14090]	Time 0.779 (0.749)	Data 0.001 (0.002)	Loss 1.6974 (2.1701)	Prec@1 57.812 (45.182)	Prec@5 87.500 (75.757)
Epoch: [55][9140/14090]	Time 0.736 (0.749)	Data 0.001 (0.002)	Loss 2.0950 (2.1700)	Prec@1 42.969 (45.181)	Prec@5 76.562 (75.758)
Epoch: [55][9150/14090]	Time 0.738 (0.749)	Data 0.001 (0.002)	Loss 2.3674 (2.1701)	Prec@1 43.750 (45.181)	Prec@5 74.219 (75.758)
Epoch: [55][9160/14090]	Time 0.740 (0.749)	Data 0.001 (0.002)	Loss 2.3655 (2.1700)	Prec@1 40.625 (45.182)	Prec@5 68.750 (75.759)
Epoch: [55][9170/14090]	Time 0.750 (0.749)	Data 0.001 (0.002)	Loss 2.0582 (2.1701)	Prec@1 47.656 (45.180)	Prec@5 75.781 (75.756)
Epoch: [55][9180/14090]	Time 0.739 (0.749)	Data 0.001 (0.002)	Loss 1.8304 (2.1701)	Prec@1 56.250 (45.180)	Prec@5 79.688 (75.757)
Epoch: [55][9190/14090]	Time 0.760 (0.749)	Data 0.001 (0.002)	Loss 2.2950 (2.1700)	Prec@1 41.406 (45.181)	Prec@5 73.438 (75.759)
Epoch: [55][9200/14090]	Time 0.756 (0.749)	Data 0.001 (0.002)	Loss 2.3217 (2.1700)	Prec@1 41.406 (45.182)	Prec@5 71.094 (75.761)
Epoch: [55][9210/14090]	Time 0.754 (0.749)	Data 0.002 (0.002)	Loss 2.0814 (2.1699)	Prec@1 49.219 (45.182)	Prec@5 78.906 (75.761)
Epoch: [55][9220/14090]	Time 0.757 (0.749)	Data 0.001 (0.002)	Loss 2.0960 (2.1699)	Prec@1 49.219 (45.183)	Prec@5 75.000 (75.761)
Epoch: [55][9230/14090]	Time 0.743 (0.749)	Data 0.001 (0.002)	Loss 2.1318 (2.1699)	Prec@1 50.000 (45.181)	Prec@5 75.781 (75.760)
Epoch: [55][9240/14090]	Time 0.737 (0.749)	Data 0.001 (0.002)	Loss 2.2370 (2.1700)	Prec@1 48.438 (45.181)	Prec@5 75.000 (75.759)
Epoch: [55][9250/14090]	Time 0.734 (0.749)	Data 0.001 (0.002)	Loss 2.1105 (2.1698)	Prec@1 46.875 (45.185)	Prec@5 76.562 (75.763)
Epoch: [55][9260/14090]	Time 0.753 (0.749)	Data 0.001 (0.002)	Loss 2.0967 (2.1698)	Prec@1 44.531 (45.187)	Prec@5 79.688 (75.764)
Epoch: [55][9270/14090]	Time 0.757 (0.749)	Data 0.001 (0.002)	Loss 2.1154 (2.1698)	Prec@1 49.219 (45.188)	Prec@5 82.031 (75.763)
Epoch: [55][9280/14090]	Time 0.760 (0.749)	Data 0.002 (0.002)	Loss 2.0950 (2.1698)	Prec@1 45.312 (45.188)	Prec@5 81.250 (75.766)
Epoch: [55][9290/14090]	Time 0.758 (0.749)	Data 0.001 (0.002)	Loss 2.1996 (2.1698)	Prec@1 48.438 (45.188)	Prec@5 76.562 (75.766)
Epoch: [55][9300/14090]	Time 0.751 (0.749)	Data 0.001 (0.002)	Loss 2.1925 (2.1698)	Prec@1 44.531 (45.190)	Prec@5 75.000 (75.765)
Epoch: [55][9310/14090]	Time 0.727 (0.749)	Data 0.001 (0.002)	Loss 2.0969 (2.1698)	Prec@1 43.750 (45.192)	Prec@5 78.125 (75.766)
Epoch: [55][9320/14090]	Time 0.727 (0.749)	Data 0.001 (0.002)	Loss 2.1704 (2.1697)	Prec@1 44.531 (45.192)	Prec@5 77.344 (75.767)
Epoch: [55][9330/14090]	Time 0.756 (0.749)	Data 0.001 (0.002)	Loss 2.2669 (2.1698)	Prec@1 42.969 (45.191)	Prec@5 73.438 (75.766)
Epoch: [55][9340/14090]	Time 0.736 (0.749)	Data 0.001 (0.002)	Loss 2.0829 (2.1698)	Prec@1 44.531 (45.190)	Prec@5 79.688 (75.766)
Epoch: [55][9350/14090]	Time 0.757 (0.749)	Data 0.002 (0.002)	Loss 2.0640 (2.1698)	Prec@1 48.438 (45.190)	Prec@5 74.219 (75.765)
Epoch: [55][9360/14090]	Time 0.755 (0.749)	Data 0.001 (0.002)	Loss 2.1060 (2.1698)	Prec@1 50.781 (45.191)	Prec@5 75.781 (75.764)
Epoch: [55][9370/14090]	Time 0.731 (0.749)	Data 0.001 (0.002)	Loss 2.2235 (2.1698)	Prec@1 46.875 (45.190)	Prec@5 77.344 (75.765)
Epoch: [55][9380/14090]	Time 0.760 (0.749)	Data 0.001 (0.002)	Loss 2.2602 (2.1699)	Prec@1 39.844 (45.189)	Prec@5 71.875 (75.763)
Epoch: [55][9390/14090]	Time 0.754 (0.749)	Data 0.001 (0.002)	Loss 2.2294 (2.1699)	Prec@1 46.875 (45.191)	Prec@5 75.781 (75.764)
Epoch: [55][9400/14090]	Time 0.735 (0.749)	Data 0.001 (0.002)	Loss 2.1620 (2.1698)	Prec@1 43.750 (45.191)	Prec@5 75.781 (75.764)
Epoch: [55][9410/14090]	Time 0.762 (0.749)	Data 0.001 (0.002)	Loss 1.9318 (2.1699)	Prec@1 52.344 (45.190)	Prec@5 80.469 (75.764)
Epoch: [55][9420/14090]	Time 0.748 (0.749)	Data 0.002 (0.002)	Loss 2.2461 (2.1699)	Prec@1 42.969 (45.188)	Prec@5 74.219 (75.765)
Epoch: [55][9430/14090]	Time 0.753 (0.749)	Data 0.001 (0.002)	Loss 1.9802 (2.1699)	Prec@1 52.344 (45.186)	Prec@5 78.125 (75.765)
Epoch: [55][9440/14090]	Time 0.751 (0.749)	Data 0.001 (0.002)	Loss 2.0647 (2.1699)	Prec@1 46.875 (45.188)	Prec@5 79.688 (75.764)
Epoch: [55][9450/14090]	Time 0.735 (0.749)	Data 0.001 (0.002)	Loss 2.3676 (2.1699)	Prec@1 38.281 (45.189)	Prec@5 75.781 (75.766)
Epoch: [55][9460/14090]	Time 0.738 (0.749)	Data 0.001 (0.002)	Loss 2.0949 (2.1697)	Prec@1 50.000 (45.193)	Prec@5 79.688 (75.768)
Epoch: [55][9470/14090]	Time 0.727 (0.749)	Data 0.001 (0.002)	Loss 2.2596 (2.1698)	Prec@1 44.531 (45.190)	Prec@5 74.219 (75.764)
Epoch: [55][9480/14090]	Time 0.761 (0.749)	Data 0.001 (0.002)	Loss 1.9810 (2.1698)	Prec@1 48.438 (45.192)	Prec@5 75.000 (75.765)
Epoch: [55][9490/14090]	Time 0.757 (0.749)	Data 0.002 (0.002)	Loss 2.4551 (2.1699)	Prec@1 39.062 (45.192)	Prec@5 68.750 (75.762)
Epoch: [55][9500/14090]	Time 0.763 (0.749)	Data 0.001 (0.002)	Loss 2.0211 (2.1699)	Prec@1 44.531 (45.192)	Prec@5 79.688 (75.762)
Epoch: [55][9510/14090]	Time 0.768 (0.749)	Data 0.001 (0.002)	Loss 2.1931 (2.1699)	Prec@1 47.656 (45.192)	Prec@5 71.875 (75.759)
Epoch: [55][9520/14090]	Time 0.741 (0.749)	Data 0.001 (0.002)	Loss 2.1222 (2.1699)	Prec@1 50.781 (45.193)	Prec@5 72.656 (75.759)
Epoch: [55][9530/14090]	Time 0.761 (0.749)	Data 0.001 (0.002)	Loss 2.2866 (2.1699)	Prec@1 44.531 (45.193)	Prec@5 71.875 (75.760)
Epoch: [55][9540/14090]	Time 0.760 (0.749)	Data 0.001 (0.002)	Loss 2.0914 (2.1699)	Prec@1 46.094 (45.192)	Prec@5 78.125 (75.760)
Epoch: [55][9550/14090]	Time 0.754 (0.749)	Data 0.001 (0.002)	Loss 2.0281 (2.1699)	Prec@1 52.344 (45.192)	Prec@5 75.000 (75.760)
Epoch: [55][9560/14090]	Time 0.764 (0.749)	Data 0.002 (0.002)	Loss 2.1860 (2.1699)	Prec@1 44.531 (45.192)	Prec@5 76.562 (75.759)
Epoch: [55][9570/14090]	Time 0.761 (0.749)	Data 0.001 (0.002)	Loss 2.4438 (2.1700)	Prec@1 42.188 (45.192)	Prec@5 69.531 (75.759)
Epoch: [55][9580/14090]	Time 0.757 (0.749)	Data 0.001 (0.002)	Loss 2.0513 (2.1701)	Prec@1 46.875 (45.190)	Prec@5 74.219 (75.756)
Epoch: [55][9590/14090]	Time 0.737 (0.749)	Data 0.001 (0.002)	Loss 2.2514 (2.1701)	Prec@1 37.500 (45.189)	Prec@5 78.125 (75.756)
Epoch: [55][9600/14090]	Time 0.757 (0.749)	Data 0.001 (0.002)	Loss 2.1102 (2.1701)	Prec@1 47.656 (45.187)	Prec@5 78.125 (75.756)
Epoch: [55][9610/14090]	Time 0.721 (0.749)	Data 0.001 (0.002)	Loss 1.8241 (2.1700)	Prec@1 56.250 (45.191)	Prec@5 82.812 (75.758)
Epoch: [55][9620/14090]	Time 0.747 (0.749)	Data 0.001 (0.002)	Loss 2.1640 (2.1700)	Prec@1 45.312 (45.190)	Prec@5 71.875 (75.756)
Epoch: [55][9630/14090]	Time 0.755 (0.749)	Data 0.002 (0.002)	Loss 1.9906 (2.1700)	Prec@1 50.000 (45.191)	Prec@5 78.906 (75.759)
Epoch: [55][9640/14090]	Time 0.722 (0.749)	Data 0.001 (0.002)	Loss 2.1411 (2.1699)	Prec@1 46.094 (45.194)	Prec@5 72.656 (75.759)
Epoch: [55][9650/14090]	Time 0.771 (0.749)	Data 0.001 (0.002)	Loss 2.2072 (2.1700)	Prec@1 43.750 (45.194)	Prec@5 73.438 (75.758)
Epoch: [55][9660/14090]	Time 0.741 (0.749)	Data 0.001 (0.002)	Loss 2.3821 (2.1700)	Prec@1 35.156 (45.194)	Prec@5 71.875 (75.756)
Epoch: [55][9670/14090]	Time 0.777 (0.749)	Data 0.001 (0.002)	Loss 1.9583 (2.1700)	Prec@1 53.125 (45.194)	Prec@5 78.125 (75.756)
Epoch: [55][9680/14090]	Time 0.731 (0.749)	Data 0.001 (0.002)	Loss 2.1345 (2.1699)	Prec@1 46.094 (45.195)	Prec@5 79.688 (75.758)
Epoch: [55][9690/14090]	Time 0.755 (0.749)	Data 0.001 (0.002)	Loss 2.2125 (2.1700)	Prec@1 46.875 (45.194)	Prec@5 71.094 (75.757)
Epoch: [55][9700/14090]	Time 0.756 (0.749)	Data 0.002 (0.002)	Loss 2.0375 (2.1699)	Prec@1 49.219 (45.194)	Prec@5 74.219 (75.758)
Epoch: [55][9710/14090]	Time 0.764 (0.749)	Data 0.001 (0.002)	Loss 2.3707 (2.1699)	Prec@1 39.062 (45.194)	Prec@5 73.438 (75.758)
Epoch: [55][9720/14090]	Time 0.742 (0.749)	Data 0.001 (0.002)	Loss 2.2527 (2.1699)	Prec@1 41.406 (45.193)	Prec@5 77.344 (75.759)
Epoch: [55][9730/14090]	Time 0.747 (0.749)	Data 0.001 (0.002)	Loss 2.5798 (2.1700)	Prec@1 36.719 (45.191)	Prec@5 71.875 (75.757)
Epoch: [55][9740/14090]	Time 0.735 (0.749)	Data 0.001 (0.002)	Loss 2.0861 (2.1700)	Prec@1 50.781 (45.189)	Prec@5 76.562 (75.759)
Epoch: [55][9750/14090]	Time 0.740 (0.749)	Data 0.001 (0.002)	Loss 1.9986 (2.1701)	Prec@1 50.781 (45.188)	Prec@5 79.688 (75.758)
Epoch: [55][9760/14090]	Time 0.736 (0.749)	Data 0.001 (0.002)	Loss 2.0102 (2.1701)	Prec@1 46.094 (45.185)	Prec@5 81.250 (75.757)
Epoch: [55][9770/14090]	Time 0.736 (0.749)	Data 0.002 (0.002)	Loss 2.4129 (2.1702)	Prec@1 40.625 (45.186)	Prec@5 71.875 (75.757)
Epoch: [55][9780/14090]	Time 0.762 (0.749)	Data 0.001 (0.002)	Loss 2.2273 (2.1701)	Prec@1 43.750 (45.188)	Prec@5 77.344 (75.759)
Epoch: [55][9790/14090]	Time 0.743 (0.749)	Data 0.001 (0.002)	Loss 2.2685 (2.1701)	Prec@1 42.969 (45.184)	Prec@5 74.219 (75.758)
Epoch: [55][9800/14090]	Time 0.750 (0.749)	Data 0.001 (0.002)	Loss 2.1238 (2.1702)	Prec@1 46.094 (45.185)	Prec@5 75.000 (75.758)
Epoch: [55][9810/14090]	Time 0.734 (0.749)	Data 0.001 (0.002)	Loss 2.4124 (2.1702)	Prec@1 40.625 (45.185)	Prec@5 73.438 (75.758)
Epoch: [55][9820/14090]	Time 0.741 (0.749)	Data 0.001 (0.002)	Loss 2.0540 (2.1703)	Prec@1 46.875 (45.183)	Prec@5 76.562 (75.756)
Epoch: [55][9830/14090]	Time 0.756 (0.749)	Data 0.001 (0.002)	Loss 2.1140 (2.1704)	Prec@1 46.875 (45.181)	Prec@5 74.219 (75.754)
Epoch: [55][9840/14090]	Time 0.788 (0.749)	Data 0.002 (0.002)	Loss 1.9539 (2.1705)	Prec@1 48.438 (45.180)	Prec@5 78.125 (75.751)
Epoch: [55][9850/14090]	Time 0.758 (0.749)	Data 0.001 (0.002)	Loss 2.1182 (2.1704)	Prec@1 47.656 (45.181)	Prec@5 77.344 (75.752)
Epoch: [55][9860/14090]	Time 0.753 (0.749)	Data 0.001 (0.002)	Loss 2.2009 (2.1704)	Prec@1 46.094 (45.181)	Prec@5 74.219 (75.752)
Epoch: [55][9870/14090]	Time 0.727 (0.749)	Data 0.001 (0.002)	Loss 2.2341 (2.1704)	Prec@1 45.312 (45.182)	Prec@5 74.219 (75.750)
Epoch: [55][9880/14090]	Time 0.753 (0.749)	Data 0.001 (0.002)	Loss 2.3777 (2.1705)	Prec@1 39.844 (45.181)	Prec@5 75.000 (75.750)
Epoch: [55][9890/14090]	Time 0.781 (0.749)	Data 0.001 (0.002)	Loss 2.3132 (2.1705)	Prec@1 43.750 (45.179)	Prec@5 71.875 (75.748)
Epoch: [55][9900/14090]	Time 0.742 (0.749)	Data 0.001 (0.002)	Loss 1.9628 (2.1704)	Prec@1 46.875 (45.181)	Prec@5 78.125 (75.749)
Epoch: [55][9910/14090]	Time 0.756 (0.749)	Data 0.002 (0.002)	Loss 2.1024 (2.1704)	Prec@1 43.750 (45.181)	Prec@5 78.906 (75.751)
Epoch: [55][9920/14090]	Time 0.739 (0.749)	Data 0.001 (0.002)	Loss 2.1020 (2.1704)	Prec@1 53.906 (45.181)	Prec@5 76.562 (75.750)
Epoch: [55][9930/14090]	Time 0.728 (0.749)	Data 0.001 (0.002)	Loss 2.4322 (2.1704)	Prec@1 37.500 (45.182)	Prec@5 69.531 (75.750)
Epoch: [55][9940/14090]	Time 0.773 (0.749)	Data 0.001 (0.002)	Loss 2.0984 (2.1704)	Prec@1 47.656 (45.183)	Prec@5 78.125 (75.750)
Epoch: [55][9950/14090]	Time 0.763 (0.749)	Data 0.001 (0.001)	Loss 2.2974 (2.1704)	Prec@1 37.500 (45.182)	Prec@5 76.562 (75.750)
Epoch: [55][9960/14090]	Time 0.750 (0.749)	Data 0.001 (0.001)	Loss 2.0008 (2.1704)	Prec@1 53.125 (45.184)	Prec@5 79.688 (75.751)
Epoch: [55][9970/14090]	Time 0.748 (0.749)	Data 0.001 (0.001)	Loss 1.9576 (2.1703)	Prec@1 46.875 (45.186)	Prec@5 79.688 (75.753)
Epoch: [55][9980/14090]	Time 0.756 (0.749)	Data 0.002 (0.001)	Loss 2.3209 (2.1703)	Prec@1 41.406 (45.186)	Prec@5 71.094 (75.752)
Epoch: [55][9990/14090]	Time 0.782 (0.749)	Data 0.001 (0.001)	Loss 2.0973 (2.1703)	Prec@1 45.312 (45.187)	Prec@5 78.125 (75.753)
Epoch: [55][10000/14090]	Time 0.743 (0.749)	Data 0.001 (0.001)	Loss 2.0940 (2.1703)	Prec@1 51.562 (45.186)	Prec@5 74.219 (75.753)
Epoch: [55][10010/14090]	Time 0.724 (0.749)	Data 0.001 (0.001)	Loss 2.1546 (2.1702)	Prec@1 43.750 (45.187)	Prec@5 79.688 (75.754)
Epoch: [55][10020/14090]	Time 0.728 (0.749)	Data 0.001 (0.001)	Loss 1.9884 (2.1701)	Prec@1 46.875 (45.187)	Prec@5 80.469 (75.755)
Epoch: [55][10030/14090]	Time 0.744 (0.749)	Data 0.001 (0.001)	Loss 2.2614 (2.1701)	Prec@1 46.875 (45.188)	Prec@5 75.781 (75.754)
Epoch: [55][10040/14090]	Time 0.781 (0.749)	Data 0.001 (0.001)	Loss 2.3406 (2.1702)	Prec@1 42.188 (45.186)	Prec@5 72.656 (75.751)
Epoch: [55][10050/14090]	Time 0.745 (0.749)	Data 0.002 (0.001)	Loss 2.0678 (2.1702)	Prec@1 46.875 (45.185)	Prec@5 82.031 (75.751)
Epoch: [55][10060/14090]	Time 0.768 (0.749)	Data 0.001 (0.001)	Loss 1.9117 (2.1703)	Prec@1 50.000 (45.182)	Prec@5 78.906 (75.749)
Epoch: [55][10070/14090]	Time 0.746 (0.749)	Data 0.001 (0.001)	Loss 2.2148 (2.1704)	Prec@1 39.062 (45.181)	Prec@5 75.781 (75.749)
Epoch: [55][10080/14090]	Time 0.771 (0.749)	Data 0.001 (0.001)	Loss 2.0754 (2.1704)	Prec@1 46.094 (45.180)	Prec@5 76.562 (75.749)
Epoch: [55][10090/14090]	Time 0.756 (0.749)	Data 0.001 (0.001)	Loss 2.0757 (2.1704)	Prec@1 50.781 (45.181)	Prec@5 79.688 (75.749)
Epoch: [55][10100/14090]	Time 0.748 (0.749)	Data 0.001 (0.001)	Loss 2.0852 (2.1704)	Prec@1 46.875 (45.182)	Prec@5 80.469 (75.748)
Epoch: [55][10110/14090]	Time 0.771 (0.749)	Data 0.001 (0.001)	Loss 2.0568 (2.1705)	Prec@1 49.219 (45.180)	Prec@5 77.344 (75.746)
Epoch: [55][10120/14090]	Time 0.760 (0.749)	Data 0.002 (0.001)	Loss 2.1158 (2.1705)	Prec@1 41.406 (45.179)	Prec@5 74.219 (75.747)
Epoch: [55][10130/14090]	Time 0.729 (0.749)	Data 0.001 (0.001)	Loss 2.4028 (2.1704)	Prec@1 45.312 (45.179)	Prec@5 73.438 (75.746)
Epoch: [55][10140/14090]	Time 0.754 (0.749)	Data 0.001 (0.001)	Loss 2.1530 (2.1705)	Prec@1 53.125 (45.179)	Prec@5 76.562 (75.745)
Epoch: [55][10150/14090]	Time 0.750 (0.749)	Data 0.001 (0.001)	Loss 2.4212 (2.1705)	Prec@1 44.531 (45.178)	Prec@5 68.750 (75.743)
Epoch: [55][10160/14090]	Time 0.727 (0.749)	Data 0.001 (0.001)	Loss 2.0579 (2.1706)	Prec@1 45.312 (45.177)	Prec@5 78.906 (75.743)
Epoch: [55][10170/14090]	Time 0.737 (0.749)	Data 0.001 (0.001)	Loss 2.1335 (2.1706)	Prec@1 43.750 (45.177)	Prec@5 73.438 (75.742)
Epoch: [55][10180/14090]	Time 0.729 (0.749)	Data 0.001 (0.001)	Loss 2.3906 (2.1706)	Prec@1 40.625 (45.179)	Prec@5 71.875 (75.741)
Epoch: [55][10190/14090]	Time 0.794 (0.749)	Data 0.002 (0.001)	Loss 2.0205 (2.1706)	Prec@1 48.438 (45.180)	Prec@5 79.688 (75.742)
Epoch: [55][10200/14090]	Time 0.758 (0.749)	Data 0.001 (0.001)	Loss 2.3824 (2.1706)	Prec@1 40.625 (45.180)	Prec@5 65.625 (75.740)
Epoch: [55][10210/14090]	Time 0.746 (0.749)	Data 0.001 (0.001)	Loss 2.2863 (2.1707)	Prec@1 46.094 (45.179)	Prec@5 73.438 (75.737)
Epoch: [55][10220/14090]	Time 0.756 (0.749)	Data 0.001 (0.001)	Loss 1.8651 (2.1707)	Prec@1 52.344 (45.180)	Prec@5 82.031 (75.738)
Epoch: [55][10230/14090]	Time 0.755 (0.749)	Data 0.001 (0.001)	Loss 2.0722 (2.1707)	Prec@1 45.312 (45.180)	Prec@5 78.906 (75.738)
Epoch: [55][10240/14090]	Time 0.734 (0.749)	Data 0.001 (0.001)	Loss 2.0998 (2.1707)	Prec@1 43.750 (45.180)	Prec@5 75.000 (75.738)
Epoch: [55][10250/14090]	Time 0.761 (0.749)	Data 0.001 (0.001)	Loss 2.2238 (2.1707)	Prec@1 44.531 (45.179)	Prec@5 74.219 (75.737)
Epoch: [55][10260/14090]	Time 0.737 (0.749)	Data 0.002 (0.001)	Loss 2.3253 (2.1707)	Prec@1 45.312 (45.178)	Prec@5 71.094 (75.737)
Epoch: [55][10270/14090]	Time 0.746 (0.749)	Data 0.001 (0.001)	Loss 1.9991 (2.1706)	Prec@1 40.625 (45.179)	Prec@5 82.812 (75.737)
Epoch: [55][10280/14090]	Time 0.737 (0.749)	Data 0.001 (0.001)	Loss 2.1874 (2.1706)	Prec@1 46.094 (45.181)	Prec@5 79.688 (75.739)
Epoch: [55][10290/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 1.9674 (2.1707)	Prec@1 45.312 (45.179)	Prec@5 76.562 (75.738)
Epoch: [55][10300/14090]	Time 0.753 (0.749)	Data 0.001 (0.001)	Loss 2.2489 (2.1707)	Prec@1 42.188 (45.178)	Prec@5 71.875 (75.738)
Epoch: [55][10310/14090]	Time 0.740 (0.749)	Data 0.001 (0.001)	Loss 2.0009 (2.1706)	Prec@1 50.000 (45.177)	Prec@5 76.562 (75.739)
Epoch: [55][10320/14090]	Time 0.749 (0.749)	Data 0.001 (0.001)	Loss 2.0464 (2.1706)	Prec@1 45.312 (45.176)	Prec@5 77.344 (75.738)
Epoch: [55][10330/14090]	Time 0.768 (0.749)	Data 0.002 (0.001)	Loss 2.3096 (2.1707)	Prec@1 46.094 (45.176)	Prec@5 75.781 (75.737)
Epoch: [55][10340/14090]	Time 0.735 (0.749)	Data 0.001 (0.001)	Loss 2.3422 (2.1707)	Prec@1 39.844 (45.177)	Prec@5 71.875 (75.735)
Epoch: [55][10350/14090]	Time 0.745 (0.749)	Data 0.001 (0.001)	Loss 2.2759 (2.1708)	Prec@1 46.094 (45.176)	Prec@5 82.031 (75.735)
Epoch: [55][10360/14090]	Time 0.765 (0.749)	Data 0.001 (0.001)	Loss 2.1074 (2.1707)	Prec@1 44.531 (45.175)	Prec@5 80.469 (75.736)
Epoch: [55][10370/14090]	Time 0.731 (0.749)	Data 0.001 (0.001)	Loss 2.1751 (2.1707)	Prec@1 42.969 (45.173)	Prec@5 72.656 (75.736)
Epoch: [55][10380/14090]	Time 0.769 (0.749)	Data 0.001 (0.001)	Loss 1.9507 (2.1707)	Prec@1 47.656 (45.172)	Prec@5 78.906 (75.735)
Epoch: [55][10390/14090]	Time 0.737 (0.749)	Data 0.001 (0.001)	Loss 2.1015 (2.1707)	Prec@1 42.188 (45.172)	Prec@5 74.219 (75.735)
Epoch: [55][10400/14090]	Time 0.734 (0.749)	Data 0.003 (0.001)	Loss 2.0765 (2.1707)	Prec@1 47.656 (45.174)	Prec@5 78.125 (75.736)
Epoch: [55][10410/14090]	Time 0.760 (0.749)	Data 0.001 (0.001)	Loss 2.4243 (2.1706)	Prec@1 39.844 (45.177)	Prec@5 71.875 (75.738)
Epoch: [55][10420/14090]	Time 0.733 (0.749)	Data 0.001 (0.001)	Loss 2.1161 (2.1706)	Prec@1 44.531 (45.175)	Prec@5 77.344 (75.737)
Epoch: [55][10430/14090]	Time 0.750 (0.749)	Data 0.001 (0.001)	Loss 2.3740 (2.1707)	Prec@1 42.188 (45.174)	Prec@5 71.094 (75.736)
Epoch: [55][10440/14090]	Time 0.727 (0.749)	Data 0.001 (0.001)	Loss 2.3302 (2.1708)	Prec@1 42.188 (45.171)	Prec@5 73.438 (75.734)
Epoch: [55][10450/14090]	Time 0.726 (0.749)	Data 0.001 (0.001)	Loss 2.1961 (2.1707)	Prec@1 39.844 (45.171)	Prec@5 76.562 (75.735)
Epoch: [55][10460/14090]	Time 0.730 (0.749)	Data 0.001 (0.001)	Loss 2.2635 (2.1707)	Prec@1 42.188 (45.169)	Prec@5 77.344 (75.735)
Epoch: [55][10470/14090]	Time 0.735 (0.749)	Data 0.002 (0.001)	Loss 1.9235 (2.1708)	Prec@1 44.531 (45.168)	Prec@5 81.250 (75.734)
Epoch: [55][10480/14090]	Time 0.743 (0.749)	Data 0.001 (0.001)	Loss 2.0436 (2.1707)	Prec@1 50.781 (45.169)	Prec@5 82.031 (75.737)
Epoch: [55][10490/14090]	Time 0.730 (0.749)	Data 0.001 (0.001)	Loss 2.1914 (2.1707)	Prec@1 43.750 (45.169)	Prec@5 73.438 (75.736)
Epoch: [55][10500/14090]	Time 0.767 (0.749)	Data 0.001 (0.001)	Loss 1.9755 (2.1707)	Prec@1 49.219 (45.171)	Prec@5 81.250 (75.738)
Epoch: [55][10510/14090]	Time 0.746 (0.749)	Data 0.001 (0.001)	Loss 2.1150 (2.1707)	Prec@1 46.875 (45.170)	Prec@5 80.469 (75.737)
Epoch: [55][10520/14090]	Time 0.730 (0.749)	Data 0.001 (0.001)	Loss 2.3639 (2.1706)	Prec@1 39.844 (45.170)	Prec@5 76.562 (75.740)
Epoch: [55][10530/14090]	Time 0.740 (0.749)	Data 0.001 (0.001)	Loss 1.8158 (2.1705)	Prec@1 49.219 (45.172)	Prec@5 82.812 (75.742)
Epoch: [55][10540/14090]	Time 0.741 (0.749)	Data 0.002 (0.001)	Loss 2.3155 (2.1705)	Prec@1 41.406 (45.172)	Prec@5 72.656 (75.742)
Epoch: [55][10550/14090]	Time 0.771 (0.749)	Data 0.001 (0.001)	Loss 2.0324 (2.1705)	Prec@1 47.656 (45.171)	Prec@5 81.250 (75.742)
Epoch: [55][10560/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 2.0014 (2.1705)	Prec@1 53.906 (45.171)	Prec@5 84.375 (75.744)
Epoch: [55][10570/14090]	Time 0.745 (0.749)	Data 0.001 (0.001)	Loss 2.1688 (2.1706)	Prec@1 43.750 (45.172)	Prec@5 75.781 (75.744)
Epoch: [55][10580/14090]	Time 0.754 (0.749)	Data 0.001 (0.001)	Loss 2.4369 (2.1705)	Prec@1 41.406 (45.173)	Prec@5 71.875 (75.744)
Epoch: [55][10590/14090]	Time 0.769 (0.749)	Data 0.001 (0.001)	Loss 2.3595 (2.1705)	Prec@1 39.062 (45.174)	Prec@5 70.312 (75.744)
Epoch: [55][10600/14090]	Time 0.734 (0.749)	Data 0.002 (0.001)	Loss 2.0668 (2.1704)	Prec@1 45.312 (45.174)	Prec@5 78.906 (75.745)
Epoch: [55][10610/14090]	Time 0.735 (0.749)	Data 0.002 (0.001)	Loss 2.1410 (2.1704)	Prec@1 43.750 (45.173)	Prec@5 77.344 (75.745)
Epoch: [55][10620/14090]	Time 0.746 (0.749)	Data 0.002 (0.001)	Loss 2.0479 (2.1705)	Prec@1 46.875 (45.173)	Prec@5 78.906 (75.743)
Epoch: [55][10630/14090]	Time 0.754 (0.749)	Data 0.001 (0.001)	Loss 2.2604 (2.1705)	Prec@1 43.750 (45.172)	Prec@5 71.875 (75.744)
Epoch: [55][10640/14090]	Time 0.737 (0.749)	Data 0.002 (0.001)	Loss 1.9950 (2.1705)	Prec@1 53.906 (45.173)	Prec@5 76.562 (75.743)
Epoch: [55][10650/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 1.9597 (2.1704)	Prec@1 47.656 (45.173)	Prec@5 78.125 (75.743)
Epoch: [55][10660/14090]	Time 0.746 (0.749)	Data 0.001 (0.001)	Loss 2.4020 (2.1705)	Prec@1 40.625 (45.172)	Prec@5 68.750 (75.743)
Epoch: [55][10670/14090]	Time 0.758 (0.749)	Data 0.001 (0.001)	Loss 2.0326 (2.1705)	Prec@1 46.094 (45.170)	Prec@5 78.125 (75.742)
Epoch: [55][10680/14090]	Time 0.756 (0.749)	Data 0.002 (0.001)	Loss 2.1978 (2.1704)	Prec@1 40.625 (45.169)	Prec@5 76.562 (75.743)
Epoch: [55][10690/14090]	Time 0.735 (0.749)	Data 0.001 (0.001)	Loss 2.0459 (2.1705)	Prec@1 50.781 (45.169)	Prec@5 74.219 (75.741)
Epoch: [55][10700/14090]	Time 0.756 (0.749)	Data 0.001 (0.001)	Loss 2.0444 (2.1705)	Prec@1 46.094 (45.171)	Prec@5 78.125 (75.742)
Epoch: [55][10710/14090]	Time 0.770 (0.749)	Data 0.001 (0.001)	Loss 2.2641 (2.1704)	Prec@1 47.656 (45.173)	Prec@5 69.531 (75.743)
Epoch: [55][10720/14090]	Time 0.753 (0.749)	Data 0.001 (0.001)	Loss 2.4438 (2.1704)	Prec@1 40.625 (45.172)	Prec@5 73.438 (75.744)
Epoch: [55][10730/14090]	Time 0.737 (0.749)	Data 0.001 (0.001)	Loss 2.2814 (2.1704)	Prec@1 42.969 (45.171)	Prec@5 75.000 (75.743)
Epoch: [55][10740/14090]	Time 0.727 (0.749)	Data 0.001 (0.001)	Loss 2.2089 (2.1704)	Prec@1 40.625 (45.170)	Prec@5 71.875 (75.742)
Epoch: [55][10750/14090]	Time 0.767 (0.749)	Data 0.002 (0.001)	Loss 2.2570 (2.1704)	Prec@1 40.625 (45.170)	Prec@5 79.688 (75.743)
Epoch: [55][10760/14090]	Time 0.754 (0.749)	Data 0.001 (0.001)	Loss 2.1740 (2.1704)	Prec@1 43.750 (45.170)	Prec@5 71.875 (75.743)
Epoch: [55][10770/14090]	Time 0.739 (0.749)	Data 0.001 (0.001)	Loss 2.3090 (2.1704)	Prec@1 41.406 (45.169)	Prec@5 79.688 (75.743)
Epoch: [55][10780/14090]	Time 0.777 (0.749)	Data 0.001 (0.001)	Loss 2.1713 (2.1703)	Prec@1 44.531 (45.170)	Prec@5 78.125 (75.745)
Epoch: [55][10790/14090]	Time 0.796 (0.749)	Data 0.001 (0.001)	Loss 2.3046 (2.1704)	Prec@1 49.219 (45.171)	Prec@5 71.875 (75.744)
Epoch: [55][10800/14090]	Time 0.728 (0.749)	Data 0.001 (0.001)	Loss 2.1022 (2.1703)	Prec@1 49.219 (45.173)	Prec@5 75.781 (75.745)
Epoch: [55][10810/14090]	Time 0.765 (0.749)	Data 0.001 (0.001)	Loss 2.2396 (2.1703)	Prec@1 42.188 (45.172)	Prec@5 76.562 (75.745)
Epoch: [55][10820/14090]	Time 0.731 (0.749)	Data 0.002 (0.001)	Loss 2.1439 (2.1703)	Prec@1 45.312 (45.172)	Prec@5 78.906 (75.746)
Epoch: [55][10830/14090]	Time 0.748 (0.749)	Data 0.001 (0.001)	Loss 1.9406 (2.1703)	Prec@1 43.750 (45.172)	Prec@5 78.906 (75.746)
Epoch: [55][10840/14090]	Time 0.760 (0.749)	Data 0.001 (0.001)	Loss 2.0858 (2.1703)	Prec@1 41.406 (45.171)	Prec@5 79.688 (75.746)
Epoch: [55][10850/14090]	Time 0.785 (0.749)	Data 0.001 (0.001)	Loss 2.1136 (2.1703)	Prec@1 46.875 (45.172)	Prec@5 74.219 (75.745)
Epoch: [55][10860/14090]	Time 0.749 (0.749)	Data 0.001 (0.001)	Loss 2.0889 (2.1703)	Prec@1 46.875 (45.174)	Prec@5 75.781 (75.746)
Epoch: [55][10870/14090]	Time 0.748 (0.749)	Data 0.001 (0.001)	Loss 2.2288 (2.1703)	Prec@1 38.281 (45.174)	Prec@5 75.000 (75.747)
Epoch: [55][10880/14090]	Time 0.784 (0.749)	Data 0.001 (0.001)	Loss 1.9722 (2.1703)	Prec@1 50.000 (45.173)	Prec@5 79.688 (75.747)
Epoch: [55][10890/14090]	Time 0.729 (0.749)	Data 0.002 (0.001)	Loss 2.2017 (2.1703)	Prec@1 44.531 (45.172)	Prec@5 78.125 (75.747)
Epoch: [55][10900/14090]	Time 0.721 (0.749)	Data 0.001 (0.001)	Loss 2.3951 (2.1703)	Prec@1 44.531 (45.173)	Prec@5 71.875 (75.747)
Epoch: [55][10910/14090]	Time 0.740 (0.749)	Data 0.001 (0.001)	Loss 2.1302 (2.1703)	Prec@1 38.281 (45.173)	Prec@5 81.250 (75.747)
Epoch: [55][10920/14090]	Time 0.752 (0.749)	Data 0.001 (0.001)	Loss 2.1896 (2.1703)	Prec@1 44.531 (45.173)	Prec@5 75.000 (75.747)
Epoch: [55][10930/14090]	Time 0.737 (0.749)	Data 0.001 (0.001)	Loss 2.2901 (2.1703)	Prec@1 36.719 (45.174)	Prec@5 78.125 (75.747)
Epoch: [55][10940/14090]	Time 0.730 (0.749)	Data 0.001 (0.001)	Loss 2.2777 (2.1703)	Prec@1 44.531 (45.174)	Prec@5 76.562 (75.746)
Epoch: [55][10950/14090]	Time 0.771 (0.749)	Data 0.001 (0.001)	Loss 1.8695 (2.1704)	Prec@1 53.125 (45.173)	Prec@5 81.250 (75.744)
Epoch: [55][10960/14090]	Time 0.755 (0.749)	Data 0.002 (0.001)	Loss 2.2755 (2.1704)	Prec@1 46.875 (45.172)	Prec@5 75.781 (75.745)
Epoch: [55][10970/14090]	Time 0.759 (0.749)	Data 0.001 (0.001)	Loss 2.2662 (2.1703)	Prec@1 42.188 (45.173)	Prec@5 72.656 (75.746)
Epoch: [55][10980/14090]	Time 0.756 (0.749)	Data 0.001 (0.001)	Loss 1.9562 (2.1703)	Prec@1 46.875 (45.174)	Prec@5 84.375 (75.746)
Epoch: [55][10990/14090]	Time 0.754 (0.749)	Data 0.001 (0.001)	Loss 2.2895 (2.1703)	Prec@1 41.406 (45.174)	Prec@5 72.656 (75.747)
Epoch: [55][11000/14090]	Time 0.752 (0.749)	Data 0.001 (0.001)	Loss 2.2391 (2.1703)	Prec@1 46.094 (45.172)	Prec@5 73.438 (75.745)
Epoch: [55][11010/14090]	Time 0.774 (0.749)	Data 0.001 (0.001)	Loss 2.1801 (2.1703)	Prec@1 46.875 (45.172)	Prec@5 82.031 (75.747)
Epoch: [55][11020/14090]	Time 0.755 (0.749)	Data 0.001 (0.001)	Loss 1.9302 (2.1703)	Prec@1 45.312 (45.171)	Prec@5 82.031 (75.746)
Epoch: [55][11030/14090]	Time 0.765 (0.749)	Data 0.002 (0.001)	Loss 2.1848 (2.1704)	Prec@1 48.438 (45.170)	Prec@5 71.875 (75.745)
Epoch: [55][11040/14090]	Time 0.746 (0.749)	Data 0.001 (0.001)	Loss 2.3056 (2.1704)	Prec@1 42.188 (45.170)	Prec@5 72.656 (75.744)
Epoch: [55][11050/14090]	Time 0.750 (0.749)	Data 0.001 (0.001)	Loss 2.0664 (2.1704)	Prec@1 50.000 (45.171)	Prec@5 75.000 (75.744)
Epoch: [55][11060/14090]	Time 0.748 (0.749)	Data 0.001 (0.001)	Loss 1.9315 (2.1705)	Prec@1 47.656 (45.170)	Prec@5 78.125 (75.744)
Epoch: [55][11070/14090]	Time 0.740 (0.749)	Data 0.001 (0.001)	Loss 2.0957 (2.1706)	Prec@1 48.438 (45.168)	Prec@5 73.438 (75.742)
Epoch: [55][11080/14090]	Time 0.742 (0.749)	Data 0.001 (0.001)	Loss 2.3536 (2.1706)	Prec@1 40.625 (45.169)	Prec@5 68.750 (75.742)
Epoch: [55][11090/14090]	Time 0.777 (0.749)	Data 0.001 (0.001)	Loss 2.0619 (2.1706)	Prec@1 49.219 (45.167)	Prec@5 78.125 (75.741)
Epoch: [55][11100/14090]	Time 0.732 (0.749)	Data 0.002 (0.001)	Loss 2.0545 (2.1706)	Prec@1 44.531 (45.166)	Prec@5 80.469 (75.741)
Epoch: [55][11110/14090]	Time 0.741 (0.749)	Data 0.001 (0.001)	Loss 2.1543 (2.1706)	Prec@1 47.656 (45.164)	Prec@5 77.344 (75.742)
Epoch: [55][11120/14090]	Time 0.739 (0.749)	Data 0.001 (0.001)	Loss 2.1584 (2.1707)	Prec@1 39.062 (45.162)	Prec@5 78.125 (75.742)
Epoch: [55][11130/14090]	Time 0.748 (0.749)	Data 0.001 (0.001)	Loss 2.0658 (2.1707)	Prec@1 49.219 (45.163)	Prec@5 79.688 (75.741)
Epoch: [55][11140/14090]	Time 0.781 (0.749)	Data 0.001 (0.001)	Loss 2.0886 (2.1707)	Prec@1 45.312 (45.162)	Prec@5 72.656 (75.740)
Epoch: [55][11150/14090]	Time 0.754 (0.749)	Data 0.001 (0.001)	Loss 2.3144 (2.1706)	Prec@1 45.312 (45.163)	Prec@5 73.438 (75.742)
Epoch: [55][11160/14090]	Time 0.757 (0.749)	Data 0.001 (0.001)	Loss 2.2621 (2.1706)	Prec@1 44.531 (45.163)	Prec@5 74.219 (75.743)
Epoch: [55][11170/14090]	Time 0.763 (0.749)	Data 0.002 (0.001)	Loss 2.2958 (2.1707)	Prec@1 45.312 (45.163)	Prec@5 75.000 (75.743)
Epoch: [55][11180/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 1.8869 (2.1706)	Prec@1 47.656 (45.165)	Prec@5 75.781 (75.743)
Epoch: [55][11190/14090]	Time 0.777 (0.749)	Data 0.001 (0.001)	Loss 2.3194 (2.1706)	Prec@1 39.844 (45.161)	Prec@5 71.875 (75.744)
Epoch: [55][11200/14090]	Time 0.748 (0.749)	Data 0.001 (0.001)	Loss 1.9602 (2.1706)	Prec@1 49.219 (45.161)	Prec@5 74.219 (75.744)
Epoch: [55][11210/14090]	Time 0.760 (0.749)	Data 0.001 (0.001)	Loss 1.9762 (2.1705)	Prec@1 51.562 (45.162)	Prec@5 78.906 (75.745)
Epoch: [55][11220/14090]	Time 0.727 (0.749)	Data 0.001 (0.001)	Loss 1.8723 (2.1705)	Prec@1 53.125 (45.163)	Prec@5 80.469 (75.746)
Epoch: [55][11230/14090]	Time 0.740 (0.749)	Data 0.001 (0.001)	Loss 2.3078 (2.1706)	Prec@1 41.406 (45.162)	Prec@5 71.875 (75.745)
Epoch: [55][11240/14090]	Time 0.732 (0.749)	Data 0.002 (0.001)	Loss 2.4119 (2.1706)	Prec@1 42.188 (45.161)	Prec@5 71.094 (75.743)
Epoch: [55][11250/14090]	Time 0.744 (0.749)	Data 0.001 (0.001)	Loss 1.7792 (2.1705)	Prec@1 52.344 (45.163)	Prec@5 83.594 (75.746)
Epoch: [55][11260/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 2.3633 (2.1706)	Prec@1 42.969 (45.162)	Prec@5 73.438 (75.745)
Epoch: [55][11270/14090]	Time 0.769 (0.749)	Data 0.002 (0.001)	Loss 2.3992 (2.1706)	Prec@1 44.531 (45.164)	Prec@5 67.188 (75.746)
Epoch: [55][11280/14090]	Time 0.756 (0.749)	Data 0.001 (0.001)	Loss 2.0823 (2.1705)	Prec@1 46.875 (45.164)	Prec@5 75.781 (75.746)
Epoch: [55][11290/14090]	Time 0.750 (0.749)	Data 0.001 (0.001)	Loss 2.1376 (2.1706)	Prec@1 44.531 (45.164)	Prec@5 75.000 (75.746)
Epoch: [55][11300/14090]	Time 0.771 (0.749)	Data 0.001 (0.001)	Loss 1.9997 (2.1706)	Prec@1 50.781 (45.163)	Prec@5 78.125 (75.746)
Epoch: [55][11310/14090]	Time 0.735 (0.749)	Data 0.002 (0.001)	Loss 2.1935 (2.1707)	Prec@1 46.094 (45.162)	Prec@5 75.781 (75.745)
Epoch: [55][11320/14090]	Time 0.749 (0.749)	Data 0.003 (0.001)	Loss 2.3184 (2.1707)	Prec@1 40.625 (45.161)	Prec@5 75.000 (75.744)
Epoch: [55][11330/14090]	Time 0.732 (0.749)	Data 0.001 (0.001)	Loss 2.1651 (2.1707)	Prec@1 42.969 (45.162)	Prec@5 78.125 (75.745)
Epoch: [55][11340/14090]	Time 0.774 (0.749)	Data 0.001 (0.001)	Loss 2.0304 (2.1707)	Prec@1 50.000 (45.161)	Prec@5 78.125 (75.746)
Epoch: [55][11350/14090]	Time 0.768 (0.749)	Data 0.001 (0.001)	Loss 2.2786 (2.1707)	Prec@1 38.281 (45.162)	Prec@5 75.000 (75.748)
Epoch: [55][11360/14090]	Time 0.737 (0.749)	Data 0.001 (0.001)	Loss 2.1817 (2.1706)	Prec@1 44.531 (45.161)	Prec@5 74.219 (75.749)
Epoch: [55][11370/14090]	Time 0.728 (0.749)	Data 0.001 (0.001)	Loss 2.1815 (2.1707)	Prec@1 46.094 (45.162)	Prec@5 77.344 (75.748)
Epoch: [55][11380/14090]	Time 0.764 (0.749)	Data 0.001 (0.001)	Loss 2.4387 (2.1707)	Prec@1 38.281 (45.161)	Prec@5 73.438 (75.747)
Epoch: [55][11390/14090]	Time 0.729 (0.749)	Data 0.001 (0.001)	Loss 1.8739 (2.1707)	Prec@1 49.219 (45.163)	Prec@5 79.688 (75.746)
Epoch: [55][11400/14090]	Time 0.736 (0.749)	Data 0.001 (0.001)	Loss 2.1672 (2.1706)	Prec@1 42.969 (45.163)	Prec@5 76.562 (75.748)
Epoch: [55][11410/14090]	Time 0.742 (0.749)	Data 0.001 (0.001)	Loss 2.1454 (2.1705)	Prec@1 44.531 (45.164)	Prec@5 80.469 (75.749)
Epoch: [55][11420/14090]	Time 0.733 (0.749)	Data 0.001 (0.001)	Loss 2.0580 (2.1705)	Prec@1 45.312 (45.164)	Prec@5 83.594 (75.751)
Epoch: [55][11430/14090]	Time 0.747 (0.749)	Data 0.001 (0.001)	Loss 2.0735 (2.1705)	Prec@1 51.562 (45.164)	Prec@5 78.125 (75.751)
Epoch: [55][11440/14090]	Time 0.748 (0.749)	Data 0.001 (0.001)	Loss 2.0482 (2.1705)	Prec@1 46.875 (45.163)	Prec@5 74.219 (75.752)
Epoch: [55][11450/14090]	Time 0.729 (0.749)	Data 0.002 (0.001)	Loss 2.4876 (2.1705)	Prec@1 37.500 (45.161)	Prec@5 71.094 (75.752)
Epoch: [55][11460/14090]	Time 0.752 (0.749)	Data 0.001 (0.001)	Loss 2.0833 (2.1705)	Prec@1 49.219 (45.165)	Prec@5 76.562 (75.753)
Epoch: [55][11470/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 2.2450 (2.1705)	Prec@1 42.969 (45.164)	Prec@5 75.000 (75.751)
Epoch: [55][11480/14090]	Time 0.731 (0.749)	Data 0.001 (0.001)	Loss 2.2676 (2.1706)	Prec@1 46.094 (45.163)	Prec@5 77.344 (75.751)
Epoch: [55][11490/14090]	Time 0.732 (0.749)	Data 0.001 (0.001)	Loss 2.1641 (2.1705)	Prec@1 48.438 (45.162)	Prec@5 71.875 (75.751)
Epoch: [55][11500/14090]	Time 0.775 (0.749)	Data 0.001 (0.001)	Loss 2.0654 (2.1706)	Prec@1 44.531 (45.160)	Prec@5 79.688 (75.750)
Epoch: [55][11510/14090]	Time 0.752 (0.749)	Data 0.001 (0.001)	Loss 1.9621 (2.1707)	Prec@1 53.906 (45.160)	Prec@5 75.781 (75.748)
Epoch: [55][11520/14090]	Time 0.727 (0.749)	Data 0.002 (0.001)	Loss 2.1777 (2.1707)	Prec@1 50.781 (45.160)	Prec@5 72.656 (75.747)
Epoch: [55][11530/14090]	Time 0.752 (0.749)	Data 0.001 (0.001)	Loss 2.2475 (2.1708)	Prec@1 42.969 (45.159)	Prec@5 73.438 (75.745)
Epoch: [55][11540/14090]	Time 0.760 (0.749)	Data 0.001 (0.001)	Loss 2.3751 (2.1709)	Prec@1 41.406 (45.157)	Prec@5 71.875 (75.741)
Epoch: [55][11550/14090]	Time 0.740 (0.749)	Data 0.001 (0.001)	Loss 2.0951 (2.1709)	Prec@1 42.969 (45.156)	Prec@5 77.344 (75.742)
Epoch: [55][11560/14090]	Time 0.766 (0.749)	Data 0.001 (0.001)	Loss 2.0022 (2.1710)	Prec@1 50.000 (45.154)	Prec@5 79.688 (75.741)
Epoch: [55][11570/14090]	Time 0.740 (0.749)	Data 0.001 (0.001)	Loss 2.1199 (2.1710)	Prec@1 42.969 (45.153)	Prec@5 76.562 (75.741)
Epoch: [55][11580/14090]	Time 0.729 (0.749)	Data 0.001 (0.001)	Loss 2.2074 (2.1710)	Prec@1 44.531 (45.153)	Prec@5 75.000 (75.740)
Epoch: [55][11590/14090]	Time 0.767 (0.749)	Data 0.002 (0.001)	Loss 2.1669 (2.1711)	Prec@1 43.750 (45.151)	Prec@5 75.000 (75.738)
Epoch: [55][11600/14090]	Time 0.731 (0.749)	Data 0.001 (0.001)	Loss 2.0949 (2.1710)	Prec@1 47.656 (45.154)	Prec@5 76.562 (75.740)
Epoch: [55][11610/14090]	Time 0.744 (0.749)	Data 0.001 (0.001)	Loss 1.9313 (2.1710)	Prec@1 45.312 (45.154)	Prec@5 82.031 (75.742)
Epoch: [55][11620/14090]	Time 0.743 (0.749)	Data 0.001 (0.001)	Loss 2.0978 (2.1710)	Prec@1 46.094 (45.154)	Prec@5 76.562 (75.741)
Epoch: [55][11630/14090]	Time 0.739 (0.749)	Data 0.001 (0.001)	Loss 2.0083 (2.1710)	Prec@1 55.469 (45.155)	Prec@5 73.438 (75.740)
Epoch: [55][11640/14090]	Time 0.763 (0.749)	Data 0.001 (0.001)	Loss 2.2694 (2.1710)	Prec@1 42.969 (45.153)	Prec@5 74.219 (75.740)
Epoch: [55][11650/14090]	Time 0.750 (0.749)	Data 0.001 (0.001)	Loss 2.0103 (2.1710)	Prec@1 49.219 (45.154)	Prec@5 80.469 (75.741)
Epoch: [55][11660/14090]	Time 0.751 (0.749)	Data 0.002 (0.001)	Loss 2.4032 (2.1711)	Prec@1 46.094 (45.152)	Prec@5 71.094 (75.738)
Epoch: [55][11670/14090]	Time 0.752 (0.749)	Data 0.001 (0.001)	Loss 2.1052 (2.1711)	Prec@1 53.125 (45.153)	Prec@5 73.438 (75.738)
Epoch: [55][11680/14090]	Time 0.756 (0.749)	Data 0.001 (0.001)	Loss 2.2821 (2.1711)	Prec@1 39.844 (45.155)	Prec@5 75.781 (75.739)
Epoch: [55][11690/14090]	Time 0.761 (0.749)	Data 0.001 (0.001)	Loss 2.2086 (2.1711)	Prec@1 42.969 (45.153)	Prec@5 75.000 (75.738)
Epoch: [55][11700/14090]	Time 0.736 (0.749)	Data 0.001 (0.001)	Loss 2.2132 (2.1712)	Prec@1 46.094 (45.152)	Prec@5 73.438 (75.737)
Epoch: [55][11710/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 2.0984 (2.1712)	Prec@1 42.969 (45.154)	Prec@5 77.344 (75.737)
Epoch: [55][11720/14090]	Time 0.744 (0.749)	Data 0.001 (0.001)	Loss 2.2251 (2.1712)	Prec@1 46.875 (45.154)	Prec@5 74.219 (75.736)
Epoch: [55][11730/14090]	Time 0.753 (0.749)	Data 0.002 (0.001)	Loss 2.0619 (2.1712)	Prec@1 47.656 (45.154)	Prec@5 78.906 (75.736)
Epoch: [55][11740/14090]	Time 0.743 (0.749)	Data 0.001 (0.001)	Loss 1.9739 (2.1712)	Prec@1 51.562 (45.155)	Prec@5 79.688 (75.735)
Epoch: [55][11750/14090]	Time 0.728 (0.749)	Data 0.001 (0.001)	Loss 2.1167 (2.1712)	Prec@1 41.406 (45.155)	Prec@5 75.000 (75.735)
Epoch: [55][11760/14090]	Time 0.764 (0.749)	Data 0.001 (0.001)	Loss 2.2384 (2.1712)	Prec@1 46.094 (45.154)	Prec@5 71.875 (75.735)
Epoch: [55][11770/14090]	Time 0.780 (0.749)	Data 0.001 (0.001)	Loss 2.1693 (2.1712)	Prec@1 43.750 (45.152)	Prec@5 76.562 (75.735)
Epoch: [55][11780/14090]	Time 0.762 (0.749)	Data 0.001 (0.001)	Loss 1.8565 (2.1713)	Prec@1 54.688 (45.153)	Prec@5 78.906 (75.733)
Epoch: [55][11790/14090]	Time 0.765 (0.749)	Data 0.001 (0.001)	Loss 1.9566 (2.1712)	Prec@1 46.875 (45.155)	Prec@5 79.688 (75.734)
Epoch: [55][11800/14090]	Time 0.752 (0.749)	Data 0.002 (0.001)	Loss 2.1695 (2.1713)	Prec@1 38.281 (45.151)	Prec@5 77.344 (75.733)
Epoch: [55][11810/14090]	Time 0.745 (0.749)	Data 0.001 (0.001)	Loss 2.4042 (2.1713)	Prec@1 42.969 (45.150)	Prec@5 68.750 (75.732)
Epoch: [55][11820/14090]	Time 0.740 (0.749)	Data 0.001 (0.001)	Loss 2.6348 (2.1714)	Prec@1 32.031 (45.148)	Prec@5 65.625 (75.731)
Epoch: [55][11830/14090]	Time 0.740 (0.749)	Data 0.001 (0.001)	Loss 2.0627 (2.1713)	Prec@1 42.188 (45.148)	Prec@5 78.906 (75.731)
Epoch: [55][11840/14090]	Time 0.780 (0.749)	Data 0.001 (0.001)	Loss 2.1943 (2.1713)	Prec@1 35.938 (45.147)	Prec@5 75.000 (75.732)
Epoch: [55][11850/14090]	Time 0.721 (0.749)	Data 0.001 (0.001)	Loss 2.1031 (2.1713)	Prec@1 41.406 (45.148)	Prec@5 80.469 (75.733)
Epoch: [55][11860/14090]	Time 0.753 (0.749)	Data 0.001 (0.001)	Loss 2.2467 (2.1714)	Prec@1 39.844 (45.146)	Prec@5 75.781 (75.733)
Epoch: [55][11870/14090]	Time 0.743 (0.749)	Data 0.002 (0.001)	Loss 2.4135 (2.1714)	Prec@1 39.844 (45.145)	Prec@5 71.875 (75.733)
Epoch: [55][11880/14090]	Time 0.768 (0.749)	Data 0.001 (0.001)	Loss 2.2080 (2.1714)	Prec@1 42.188 (45.145)	Prec@5 75.781 (75.732)
Epoch: [55][11890/14090]	Time 0.759 (0.749)	Data 0.001 (0.001)	Loss 2.2674 (2.1715)	Prec@1 43.750 (45.144)	Prec@5 75.000 (75.731)
Epoch: [55][11900/14090]	Time 0.743 (0.749)	Data 0.001 (0.001)	Loss 2.0889 (2.1715)	Prec@1 50.000 (45.143)	Prec@5 70.312 (75.730)
Epoch: [55][11910/14090]	Time 0.761 (0.749)	Data 0.001 (0.001)	Loss 2.0152 (2.1715)	Prec@1 48.438 (45.144)	Prec@5 76.562 (75.731)
Epoch: [55][11920/14090]	Time 0.755 (0.749)	Data 0.001 (0.001)	Loss 2.2955 (2.1715)	Prec@1 42.969 (45.146)	Prec@5 70.312 (75.730)
Epoch: [55][11930/14090]	Time 0.736 (0.749)	Data 0.001 (0.001)	Loss 2.2647 (2.1715)	Prec@1 45.312 (45.147)	Prec@5 75.781 (75.732)
Epoch: [55][11940/14090]	Time 0.747 (0.749)	Data 0.002 (0.001)	Loss 2.3018 (2.1715)	Prec@1 43.750 (45.148)	Prec@5 71.875 (75.730)
Epoch: [55][11950/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 2.1331 (2.1716)	Prec@1 49.219 (45.148)	Prec@5 73.438 (75.728)
Epoch: [55][11960/14090]	Time 0.753 (0.749)	Data 0.002 (0.001)	Loss 2.3624 (2.1716)	Prec@1 38.281 (45.148)	Prec@5 71.875 (75.728)
Epoch: [55][11970/14090]	Time 0.739 (0.749)	Data 0.001 (0.001)	Loss 2.2156 (2.1716)	Prec@1 44.531 (45.147)	Prec@5 73.438 (75.730)
Epoch: [55][11980/14090]	Time 0.740 (0.749)	Data 0.001 (0.001)	Loss 2.0428 (2.1715)	Prec@1 47.656 (45.147)	Prec@5 78.906 (75.730)
Epoch: [55][11990/14090]	Time 0.748 (0.749)	Data 0.001 (0.001)	Loss 1.8473 (2.1714)	Prec@1 53.125 (45.149)	Prec@5 83.594 (75.731)
Epoch: [55][12000/14090]	Time 0.733 (0.749)	Data 0.001 (0.001)	Loss 2.4480 (2.1714)	Prec@1 39.844 (45.149)	Prec@5 68.750 (75.731)
Epoch: [55][12010/14090]	Time 0.764 (0.749)	Data 0.002 (0.001)	Loss 2.2003 (2.1714)	Prec@1 45.312 (45.149)	Prec@5 77.344 (75.731)
Epoch: [55][12020/14090]	Time 0.749 (0.749)	Data 0.002 (0.001)	Loss 2.2125 (2.1715)	Prec@1 45.312 (45.148)	Prec@5 78.125 (75.729)
Epoch: [55][12030/14090]	Time 0.759 (0.749)	Data 0.001 (0.001)	Loss 2.1457 (2.1715)	Prec@1 51.562 (45.147)	Prec@5 78.906 (75.730)
Epoch: [55][12040/14090]	Time 0.730 (0.749)	Data 0.001 (0.001)	Loss 2.2444 (2.1715)	Prec@1 44.531 (45.144)	Prec@5 76.562 (75.729)
Epoch: [55][12050/14090]	Time 0.742 (0.749)	Data 0.001 (0.001)	Loss 2.0721 (2.1716)	Prec@1 47.656 (45.143)	Prec@5 75.781 (75.729)
Epoch: [55][12060/14090]	Time 0.755 (0.749)	Data 0.001 (0.001)	Loss 2.1816 (2.1716)	Prec@1 46.094 (45.144)	Prec@5 78.906 (75.730)
Epoch: [55][12070/14090]	Time 0.731 (0.749)	Data 0.001 (0.001)	Loss 2.3361 (2.1716)	Prec@1 39.062 (45.143)	Prec@5 75.000 (75.732)
Epoch: [55][12080/14090]	Time 0.754 (0.749)	Data 0.002 (0.001)	Loss 2.1838 (2.1716)	Prec@1 48.438 (45.142)	Prec@5 75.000 (75.730)
Epoch: [55][12090/14090]	Time 0.736 (0.749)	Data 0.001 (0.001)	Loss 2.1500 (2.1717)	Prec@1 47.656 (45.142)	Prec@5 74.219 (75.730)
Epoch: [55][12100/14090]	Time 0.729 (0.749)	Data 0.001 (0.001)	Loss 2.1515 (2.1716)	Prec@1 46.875 (45.142)	Prec@5 76.562 (75.730)
Epoch: [55][12110/14090]	Time 0.784 (0.749)	Data 0.001 (0.001)	Loss 2.1835 (2.1717)	Prec@1 42.188 (45.142)	Prec@5 75.000 (75.728)
Epoch: [55][12120/14090]	Time 0.776 (0.749)	Data 0.001 (0.001)	Loss 1.9087 (2.1716)	Prec@1 46.875 (45.142)	Prec@5 83.594 (75.730)
Epoch: [55][12130/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 2.1196 (2.1716)	Prec@1 43.750 (45.144)	Prec@5 79.688 (75.729)
Epoch: [55][12140/14090]	Time 0.780 (0.749)	Data 0.001 (0.001)	Loss 1.9419 (2.1716)	Prec@1 46.875 (45.144)	Prec@5 77.344 (75.729)
Epoch: [55][12150/14090]	Time 0.763 (0.749)	Data 0.002 (0.001)	Loss 2.2379 (2.1716)	Prec@1 39.062 (45.142)	Prec@5 73.438 (75.727)
Epoch: [55][12160/14090]	Time 0.793 (0.749)	Data 0.001 (0.001)	Loss 1.9398 (2.1715)	Prec@1 57.812 (45.143)	Prec@5 78.125 (75.728)
Epoch: [55][12170/14090]	Time 0.741 (0.749)	Data 0.001 (0.001)	Loss 2.1149 (2.1715)	Prec@1 42.969 (45.145)	Prec@5 79.688 (75.729)
Epoch: [55][12180/14090]	Time 0.728 (0.749)	Data 0.001 (0.001)	Loss 2.1916 (2.1715)	Prec@1 45.312 (45.145)	Prec@5 71.875 (75.728)
Epoch: [55][12190/14090]	Time 0.754 (0.749)	Data 0.001 (0.001)	Loss 2.3677 (2.1715)	Prec@1 45.312 (45.147)	Prec@5 73.438 (75.728)
Epoch: [55][12200/14090]	Time 0.743 (0.749)	Data 0.001 (0.001)	Loss 2.5341 (2.1715)	Prec@1 40.625 (45.145)	Prec@5 69.531 (75.727)
Epoch: [55][12210/14090]	Time 0.745 (0.749)	Data 0.001 (0.001)	Loss 2.0146 (2.1715)	Prec@1 50.000 (45.145)	Prec@5 78.125 (75.728)
Epoch: [55][12220/14090]	Time 0.750 (0.749)	Data 0.002 (0.001)	Loss 2.5906 (2.1716)	Prec@1 43.750 (45.145)	Prec@5 71.875 (75.727)
Epoch: [55][12230/14090]	Time 0.750 (0.749)	Data 0.001 (0.001)	Loss 2.2326 (2.1716)	Prec@1 42.188 (45.145)	Prec@5 72.656 (75.728)
Epoch: [55][12240/14090]	Time 0.731 (0.749)	Data 0.001 (0.001)	Loss 2.0528 (2.1716)	Prec@1 44.531 (45.144)	Prec@5 80.469 (75.728)
Epoch: [55][12250/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 1.8500 (2.1716)	Prec@1 49.219 (45.143)	Prec@5 83.594 (75.729)
Epoch: [55][12260/14090]	Time 0.752 (0.749)	Data 0.001 (0.001)	Loss 1.8656 (2.1715)	Prec@1 50.000 (45.144)	Prec@5 81.250 (75.730)
Epoch: [55][12270/14090]	Time 0.773 (0.749)	Data 0.001 (0.001)	Loss 2.3230 (2.1716)	Prec@1 42.188 (45.142)	Prec@5 75.000 (75.729)
Epoch: [55][12280/14090]	Time 0.753 (0.749)	Data 0.001 (0.001)	Loss 2.2240 (2.1716)	Prec@1 46.094 (45.142)	Prec@5 73.438 (75.730)
Epoch: [55][12290/14090]	Time 0.755 (0.749)	Data 0.001 (0.001)	Loss 2.0804 (2.1716)	Prec@1 46.094 (45.142)	Prec@5 81.250 (75.730)
Epoch: [55][12300/14090]	Time 0.762 (0.749)	Data 0.001 (0.001)	Loss 2.3672 (2.1717)	Prec@1 37.500 (45.141)	Prec@5 74.219 (75.730)
Epoch: [55][12310/14090]	Time 0.760 (0.749)	Data 0.001 (0.001)	Loss 2.2122 (2.1717)	Prec@1 46.094 (45.143)	Prec@5 73.438 (75.730)
Epoch: [55][12320/14090]	Time 0.725 (0.749)	Data 0.001 (0.001)	Loss 2.0645 (2.1717)	Prec@1 49.219 (45.143)	Prec@5 77.344 (75.731)
Epoch: [55][12330/14090]	Time 0.732 (0.749)	Data 0.001 (0.001)	Loss 2.3509 (2.1717)	Prec@1 43.750 (45.143)	Prec@5 71.875 (75.732)
Epoch: [55][12340/14090]	Time 0.748 (0.749)	Data 0.001 (0.001)	Loss 2.2862 (2.1717)	Prec@1 37.500 (45.143)	Prec@5 78.125 (75.732)
Epoch: [55][12350/14090]	Time 0.755 (0.749)	Data 0.001 (0.001)	Loss 1.9857 (2.1717)	Prec@1 53.125 (45.142)	Prec@5 75.000 (75.730)
Epoch: [55][12360/14090]	Time 0.755 (0.749)	Data 0.002 (0.001)	Loss 2.4196 (2.1718)	Prec@1 38.281 (45.141)	Prec@5 69.531 (75.729)
Epoch: [55][12370/14090]	Time 0.765 (0.749)	Data 0.001 (0.001)	Loss 2.1694 (2.1718)	Prec@1 44.531 (45.139)	Prec@5 74.219 (75.729)
Epoch: [55][12380/14090]	Time 0.749 (0.749)	Data 0.001 (0.001)	Loss 2.2062 (2.1718)	Prec@1 43.750 (45.139)	Prec@5 75.781 (75.730)
Epoch: [55][12390/14090]	Time 0.759 (0.749)	Data 0.003 (0.001)	Loss 2.2973 (2.1718)	Prec@1 43.750 (45.138)	Prec@5 71.094 (75.729)
Epoch: [55][12400/14090]	Time 0.737 (0.749)	Data 0.001 (0.001)	Loss 2.2161 (2.1719)	Prec@1 46.875 (45.136)	Prec@5 75.000 (75.727)
Epoch: [55][12410/14090]	Time 0.761 (0.749)	Data 0.001 (0.001)	Loss 2.2086 (2.1719)	Prec@1 36.719 (45.136)	Prec@5 78.125 (75.727)
Epoch: [55][12420/14090]	Time 0.734 (0.749)	Data 0.001 (0.001)	Loss 2.3247 (2.1719)	Prec@1 36.719 (45.136)	Prec@5 75.000 (75.727)
Epoch: [55][12430/14090]	Time 0.734 (0.749)	Data 0.002 (0.001)	Loss 2.3241 (2.1719)	Prec@1 45.312 (45.137)	Prec@5 74.219 (75.727)
Epoch: [55][12440/14090]	Time 0.745 (0.749)	Data 0.001 (0.001)	Loss 2.4208 (2.1719)	Prec@1 38.281 (45.137)	Prec@5 71.875 (75.727)
Epoch: [55][12450/14090]	Time 0.766 (0.749)	Data 0.001 (0.001)	Loss 1.8758 (2.1719)	Prec@1 54.688 (45.137)	Prec@5 78.906 (75.727)
Epoch: [55][12460/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 2.0297 (2.1719)	Prec@1 45.312 (45.138)	Prec@5 75.000 (75.726)
Epoch: [55][12470/14090]	Time 0.755 (0.749)	Data 0.001 (0.001)	Loss 2.0441 (2.1719)	Prec@1 46.875 (45.138)	Prec@5 80.469 (75.727)
Epoch: [55][12480/14090]	Time 0.772 (0.749)	Data 0.001 (0.001)	Loss 2.0473 (2.1719)	Prec@1 48.438 (45.138)	Prec@5 75.000 (75.725)
Epoch: [55][12490/14090]	Time 0.759 (0.749)	Data 0.001 (0.001)	Loss 2.1723 (2.1719)	Prec@1 41.406 (45.138)	Prec@5 76.562 (75.726)
Epoch: [55][12500/14090]	Time 0.724 (0.749)	Data 0.002 (0.001)	Loss 1.9687 (2.1719)	Prec@1 47.656 (45.139)	Prec@5 78.906 (75.726)
Epoch: [55][12510/14090]	Time 0.766 (0.749)	Data 0.001 (0.001)	Loss 2.4732 (2.1719)	Prec@1 39.062 (45.138)	Prec@5 68.750 (75.725)
Epoch: [55][12520/14090]	Time 0.784 (0.749)	Data 0.001 (0.001)	Loss 2.2038 (2.1719)	Prec@1 48.438 (45.137)	Prec@5 75.000 (75.724)
Epoch: [55][12530/14090]	Time 0.746 (0.749)	Data 0.001 (0.001)	Loss 2.3375 (2.1720)	Prec@1 42.188 (45.137)	Prec@5 71.875 (75.724)
Epoch: [55][12540/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 2.2382 (2.1719)	Prec@1 46.094 (45.137)	Prec@5 75.000 (75.725)
Epoch: [55][12550/14090]	Time 0.726 (0.749)	Data 0.001 (0.001)	Loss 2.0930 (2.1720)	Prec@1 51.562 (45.139)	Prec@5 76.562 (75.724)
Epoch: [55][12560/14090]	Time 0.782 (0.749)	Data 0.001 (0.001)	Loss 2.2538 (2.1720)	Prec@1 50.781 (45.139)	Prec@5 71.875 (75.724)
Epoch: [55][12570/14090]	Time 0.726 (0.749)	Data 0.002 (0.001)	Loss 2.3518 (2.1720)	Prec@1 38.281 (45.137)	Prec@5 67.969 (75.723)
Epoch: [55][12580/14090]	Time 0.765 (0.749)	Data 0.001 (0.001)	Loss 2.1561 (2.1720)	Prec@1 51.562 (45.138)	Prec@5 71.094 (75.723)
Epoch: [55][12590/14090]	Time 0.776 (0.749)	Data 0.001 (0.001)	Loss 2.2764 (2.1721)	Prec@1 43.750 (45.136)	Prec@5 72.656 (75.722)
Epoch: [55][12600/14090]	Time 0.748 (0.749)	Data 0.001 (0.001)	Loss 1.9384 (2.1720)	Prec@1 46.094 (45.137)	Prec@5 83.594 (75.723)
Epoch: [55][12610/14090]	Time 0.732 (0.749)	Data 0.001 (0.001)	Loss 2.3145 (2.1720)	Prec@1 42.188 (45.137)	Prec@5 73.438 (75.723)
Epoch: [55][12620/14090]	Time 0.748 (0.749)	Data 0.001 (0.001)	Loss 2.0080 (2.1720)	Prec@1 47.656 (45.137)	Prec@5 77.344 (75.721)
Epoch: [55][12630/14090]	Time 0.735 (0.749)	Data 0.001 (0.001)	Loss 2.0462 (2.1720)	Prec@1 50.781 (45.138)	Prec@5 79.688 (75.721)
Epoch: [55][12640/14090]	Time 0.754 (0.749)	Data 0.002 (0.001)	Loss 2.1330 (2.1720)	Prec@1 45.312 (45.137)	Prec@5 79.688 (75.722)
Epoch: [55][12650/14090]	Time 0.724 (0.749)	Data 0.001 (0.001)	Loss 2.2106 (2.1721)	Prec@1 46.094 (45.135)	Prec@5 72.656 (75.721)
Epoch: [55][12660/14090]	Time 0.782 (0.749)	Data 0.001 (0.001)	Loss 2.0853 (2.1721)	Prec@1 46.875 (45.134)	Prec@5 78.906 (75.720)
Epoch: [55][12670/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 2.1842 (2.1722)	Prec@1 47.656 (45.134)	Prec@5 77.344 (75.720)
Epoch: [55][12680/14090]	Time 0.757 (0.749)	Data 0.001 (0.001)	Loss 2.1307 (2.1722)	Prec@1 46.094 (45.134)	Prec@5 75.000 (75.720)
Epoch: [55][12690/14090]	Time 0.745 (0.749)	Data 0.001 (0.001)	Loss 1.9917 (2.1722)	Prec@1 49.219 (45.134)	Prec@5 80.469 (75.721)
Epoch: [55][12700/14090]	Time 0.740 (0.749)	Data 0.001 (0.001)	Loss 1.9418 (2.1722)	Prec@1 47.656 (45.134)	Prec@5 82.812 (75.721)
Epoch: [55][12710/14090]	Time 0.743 (0.749)	Data 0.002 (0.001)	Loss 2.3317 (2.1722)	Prec@1 39.062 (45.134)	Prec@5 72.656 (75.721)
Epoch: [55][12720/14090]	Time 0.746 (0.749)	Data 0.001 (0.001)	Loss 2.2329 (2.1723)	Prec@1 46.094 (45.133)	Prec@5 73.438 (75.721)
Epoch: [55][12730/14090]	Time 0.785 (0.749)	Data 0.001 (0.001)	Loss 2.1530 (2.1723)	Prec@1 42.188 (45.132)	Prec@5 75.000 (75.721)
Epoch: [55][12740/14090]	Time 0.727 (0.749)	Data 0.001 (0.001)	Loss 2.2713 (2.1723)	Prec@1 43.750 (45.133)	Prec@5 74.219 (75.721)
Epoch: [55][12750/14090]	Time 0.786 (0.749)	Data 0.001 (0.001)	Loss 2.1800 (2.1723)	Prec@1 48.438 (45.133)	Prec@5 71.875 (75.721)
Epoch: [55][12760/14090]	Time 0.737 (0.749)	Data 0.001 (0.001)	Loss 2.2025 (2.1723)	Prec@1 46.094 (45.134)	Prec@5 78.125 (75.721)
Epoch: [55][12770/14090]	Time 0.732 (0.749)	Data 0.001 (0.001)	Loss 2.0777 (2.1723)	Prec@1 46.875 (45.132)	Prec@5 79.688 (75.721)
Epoch: [55][12780/14090]	Time 0.744 (0.749)	Data 0.001 (0.001)	Loss 2.4581 (2.1724)	Prec@1 38.281 (45.131)	Prec@5 71.875 (75.718)
Epoch: [55][12790/14090]	Time 0.768 (0.749)	Data 0.001 (0.001)	Loss 2.0411 (2.1724)	Prec@1 50.781 (45.132)	Prec@5 79.688 (75.719)
Epoch: [55][12800/14090]	Time 0.737 (0.749)	Data 0.001 (0.001)	Loss 2.0188 (2.1723)	Prec@1 45.312 (45.132)	Prec@5 75.000 (75.718)
Epoch: [55][12810/14090]	Time 0.744 (0.749)	Data 0.001 (0.001)	Loss 2.3600 (2.1724)	Prec@1 37.500 (45.131)	Prec@5 72.656 (75.718)
Epoch: [55][12820/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 2.3895 (2.1724)	Prec@1 42.188 (45.131)	Prec@5 71.875 (75.717)
Epoch: [55][12830/14090]	Time 0.741 (0.749)	Data 0.001 (0.001)	Loss 2.2576 (2.1724)	Prec@1 39.062 (45.131)	Prec@5 77.344 (75.718)
Epoch: [55][12840/14090]	Time 0.757 (0.749)	Data 0.001 (0.001)	Loss 2.2286 (2.1723)	Prec@1 42.969 (45.132)	Prec@5 75.000 (75.718)
Epoch: [55][12850/14090]	Time 0.779 (0.749)	Data 0.002 (0.001)	Loss 2.0039 (2.1723)	Prec@1 56.250 (45.132)	Prec@5 75.000 (75.719)
Epoch: [55][12860/14090]	Time 0.740 (0.749)	Data 0.001 (0.001)	Loss 1.9983 (2.1722)	Prec@1 50.000 (45.133)	Prec@5 75.000 (75.720)
Epoch: [55][12870/14090]	Time 0.781 (0.749)	Data 0.001 (0.001)	Loss 2.0470 (2.1723)	Prec@1 46.875 (45.132)	Prec@5 79.688 (75.720)
Epoch: [55][12880/14090]	Time 0.743 (0.749)	Data 0.001 (0.001)	Loss 2.4949 (2.1723)	Prec@1 39.844 (45.133)	Prec@5 68.750 (75.720)
Epoch: [55][12890/14090]	Time 0.747 (0.749)	Data 0.001 (0.001)	Loss 2.2355 (2.1723)	Prec@1 42.188 (45.132)	Prec@5 76.562 (75.720)
Epoch: [55][12900/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 2.1449 (2.1722)	Prec@1 39.062 (45.132)	Prec@5 78.125 (75.721)
Epoch: [55][12910/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 2.2318 (2.1721)	Prec@1 47.656 (45.135)	Prec@5 77.344 (75.723)
Epoch: [55][12920/14090]	Time 0.738 (0.749)	Data 0.002 (0.001)	Loss 2.1281 (2.1721)	Prec@1 50.000 (45.135)	Prec@5 76.562 (75.723)
Epoch: [55][12930/14090]	Time 0.748 (0.749)	Data 0.001 (0.001)	Loss 2.0542 (2.1720)	Prec@1 53.125 (45.137)	Prec@5 78.125 (75.725)
Epoch: [55][12940/14090]	Time 0.782 (0.749)	Data 0.001 (0.001)	Loss 2.3104 (2.1721)	Prec@1 42.969 (45.135)	Prec@5 75.000 (75.724)
Epoch: [55][12950/14090]	Time 0.757 (0.749)	Data 0.001 (0.001)	Loss 2.1613 (2.1721)	Prec@1 46.094 (45.135)	Prec@5 75.781 (75.724)
Epoch: [55][12960/14090]	Time 0.732 (0.749)	Data 0.001 (0.001)	Loss 2.2185 (2.1721)	Prec@1 44.531 (45.133)	Prec@5 73.438 (75.724)
Epoch: [55][12970/14090]	Time 0.753 (0.749)	Data 0.001 (0.001)	Loss 2.5057 (2.1722)	Prec@1 34.375 (45.130)	Prec@5 75.781 (75.722)
Epoch: [55][12980/14090]	Time 0.767 (0.749)	Data 0.001 (0.001)	Loss 2.0528 (2.1722)	Prec@1 50.000 (45.131)	Prec@5 78.125 (75.723)
Epoch: [55][12990/14090]	Time 0.750 (0.749)	Data 0.003 (0.001)	Loss 2.2700 (2.1723)	Prec@1 44.531 (45.130)	Prec@5 72.656 (75.721)
Epoch: [55][13000/14090]	Time 0.740 (0.749)	Data 0.001 (0.001)	Loss 2.0076 (2.1723)	Prec@1 48.438 (45.131)	Prec@5 78.125 (75.722)
Epoch: [55][13010/14090]	Time 0.749 (0.749)	Data 0.001 (0.001)	Loss 2.1293 (2.1723)	Prec@1 43.750 (45.131)	Prec@5 74.219 (75.721)
Epoch: [55][13020/14090]	Time 0.765 (0.749)	Data 0.001 (0.001)	Loss 2.0432 (2.1723)	Prec@1 48.438 (45.131)	Prec@5 77.344 (75.721)
Epoch: [55][13030/14090]	Time 0.730 (0.749)	Data 0.001 (0.001)	Loss 2.4509 (2.1724)	Prec@1 40.625 (45.129)	Prec@5 74.219 (75.721)
Epoch: [55][13040/14090]	Time 0.770 (0.749)	Data 0.001 (0.001)	Loss 1.7408 (2.1724)	Prec@1 57.812 (45.130)	Prec@5 81.250 (75.722)
Epoch: [55][13050/14090]	Time 0.759 (0.749)	Data 0.001 (0.001)	Loss 2.4957 (2.1724)	Prec@1 46.875 (45.130)	Prec@5 72.656 (75.722)
Epoch: [55][13060/14090]	Time 0.783 (0.749)	Data 0.002 (0.001)	Loss 2.0853 (2.1724)	Prec@1 51.562 (45.130)	Prec@5 76.562 (75.722)
Epoch: [55][13070/14090]	Time 0.739 (0.749)	Data 0.001 (0.001)	Loss 2.1156 (2.1723)	Prec@1 39.062 (45.130)	Prec@5 80.469 (75.724)
Epoch: [55][13080/14090]	Time 0.758 (0.749)	Data 0.001 (0.001)	Loss 2.1927 (2.1723)	Prec@1 46.094 (45.129)	Prec@5 77.344 (75.723)
Epoch: [55][13090/14090]	Time 0.741 (0.749)	Data 0.001 (0.001)	Loss 2.1403 (2.1723)	Prec@1 47.656 (45.130)	Prec@5 82.031 (75.724)
Epoch: [55][13100/14090]	Time 0.750 (0.749)	Data 0.001 (0.001)	Loss 2.2727 (2.1723)	Prec@1 42.188 (45.130)	Prec@5 75.000 (75.724)
Epoch: [55][13110/14090]	Time 0.757 (0.749)	Data 0.001 (0.001)	Loss 2.1837 (2.1723)	Prec@1 46.875 (45.131)	Prec@5 78.906 (75.724)
Epoch: [55][13120/14090]	Time 0.739 (0.749)	Data 0.001 (0.001)	Loss 2.5302 (2.1723)	Prec@1 41.406 (45.130)	Prec@5 68.750 (75.724)
Epoch: [55][13130/14090]	Time 0.755 (0.749)	Data 0.002 (0.001)	Loss 2.3323 (2.1723)	Prec@1 44.531 (45.129)	Prec@5 69.531 (75.723)
Epoch: [55][13140/14090]	Time 0.787 (0.749)	Data 0.001 (0.001)	Loss 2.2959 (2.1724)	Prec@1 40.625 (45.128)	Prec@5 72.656 (75.722)
Epoch: [55][13150/14090]	Time 0.756 (0.749)	Data 0.001 (0.001)	Loss 1.9860 (2.1724)	Prec@1 50.000 (45.129)	Prec@5 80.469 (75.722)
Epoch: [55][13160/14090]	Time 0.765 (0.749)	Data 0.001 (0.001)	Loss 2.4578 (2.1723)	Prec@1 35.156 (45.129)	Prec@5 72.656 (75.722)
Epoch: [55][13170/14090]	Time 0.725 (0.749)	Data 0.002 (0.001)	Loss 2.1259 (2.1723)	Prec@1 45.312 (45.131)	Prec@5 82.031 (75.724)
Epoch: [55][13180/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 2.0177 (2.1723)	Prec@1 48.438 (45.131)	Prec@5 79.688 (75.725)
Epoch: [55][13190/14090]	Time 0.748 (0.749)	Data 0.001 (0.001)	Loss 2.1992 (2.1722)	Prec@1 46.094 (45.132)	Prec@5 78.906 (75.726)
Epoch: [55][13200/14090]	Time 0.759 (0.749)	Data 0.002 (0.001)	Loss 2.4561 (2.1723)	Prec@1 42.969 (45.133)	Prec@5 72.656 (75.727)
Epoch: [55][13210/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 2.5727 (2.1723)	Prec@1 41.406 (45.133)	Prec@5 67.969 (75.726)
Epoch: [55][13220/14090]	Time 0.732 (0.749)	Data 0.001 (0.001)	Loss 2.3813 (2.1723)	Prec@1 41.406 (45.133)	Prec@5 68.750 (75.726)
Epoch: [55][13230/14090]	Time 0.745 (0.749)	Data 0.001 (0.001)	Loss 2.3589 (2.1723)	Prec@1 39.844 (45.133)	Prec@5 70.312 (75.727)
Epoch: [55][13240/14090]	Time 0.761 (0.749)	Data 0.001 (0.001)	Loss 2.2010 (2.1723)	Prec@1 44.531 (45.132)	Prec@5 74.219 (75.727)
Epoch: [55][13250/14090]	Time 0.754 (0.749)	Data 0.001 (0.001)	Loss 2.0525 (2.1723)	Prec@1 44.531 (45.132)	Prec@5 77.344 (75.727)
Epoch: [55][13260/14090]	Time 0.748 (0.749)	Data 0.001 (0.001)	Loss 2.2979 (2.1723)	Prec@1 39.844 (45.131)	Prec@5 75.781 (75.726)
Epoch: [55][13270/14090]	Time 0.742 (0.749)	Data 0.002 (0.001)	Loss 2.3355 (2.1723)	Prec@1 41.406 (45.130)	Prec@5 71.875 (75.726)
Epoch: [55][13280/14090]	Time 0.748 (0.749)	Data 0.001 (0.001)	Loss 2.4691 (2.1724)	Prec@1 43.750 (45.130)	Prec@5 67.969 (75.725)
Epoch: [55][13290/14090]	Time 0.761 (0.749)	Data 0.001 (0.001)	Loss 2.1548 (2.1723)	Prec@1 46.094 (45.131)	Prec@5 74.219 (75.726)
Epoch: [55][13300/14090]	Time 0.757 (0.749)	Data 0.001 (0.001)	Loss 2.1291 (2.1723)	Prec@1 51.562 (45.132)	Prec@5 75.000 (75.727)
Epoch: [55][13310/14090]	Time 0.747 (0.749)	Data 0.001 (0.001)	Loss 2.1841 (2.1723)	Prec@1 44.531 (45.130)	Prec@5 76.562 (75.725)
Epoch: [55][13320/14090]	Time 0.780 (0.749)	Data 0.002 (0.001)	Loss 2.1712 (2.1723)	Prec@1 46.094 (45.131)	Prec@5 75.000 (75.725)
Epoch: [55][13330/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 2.1925 (2.1723)	Prec@1 37.500 (45.131)	Prec@5 75.000 (75.726)
Epoch: [55][13340/14090]	Time 0.754 (0.749)	Data 0.002 (0.001)	Loss 2.1433 (2.1722)	Prec@1 45.312 (45.132)	Prec@5 72.656 (75.728)
Epoch: [55][13350/14090]	Time 0.750 (0.749)	Data 0.001 (0.001)	Loss 2.0499 (2.1723)	Prec@1 46.875 (45.131)	Prec@5 78.125 (75.727)
Epoch: [55][13360/14090]	Time 0.732 (0.749)	Data 0.001 (0.001)	Loss 2.3053 (2.1723)	Prec@1 41.406 (45.131)	Prec@5 75.781 (75.726)
Epoch: [55][13370/14090]	Time 0.730 (0.749)	Data 0.001 (0.001)	Loss 2.1650 (2.1723)	Prec@1 43.750 (45.128)	Prec@5 72.656 (75.725)
Epoch: [55][13380/14090]	Time 0.737 (0.749)	Data 0.001 (0.001)	Loss 1.8974 (2.1723)	Prec@1 51.562 (45.130)	Prec@5 80.469 (75.726)
Epoch: [55][13390/14090]	Time 0.758 (0.749)	Data 0.001 (0.001)	Loss 2.3281 (2.1724)	Prec@1 37.500 (45.127)	Prec@5 75.781 (75.724)
Epoch: [55][13400/14090]	Time 0.750 (0.749)	Data 0.001 (0.001)	Loss 2.3375 (2.1724)	Prec@1 42.188 (45.127)	Prec@5 71.094 (75.724)
Epoch: [55][13410/14090]	Time 0.747 (0.749)	Data 0.002 (0.001)	Loss 2.4799 (2.1723)	Prec@1 39.062 (45.127)	Prec@5 74.219 (75.725)
Epoch: [55][13420/14090]	Time 0.752 (0.749)	Data 0.001 (0.001)	Loss 2.1438 (2.1724)	Prec@1 45.312 (45.127)	Prec@5 72.656 (75.725)
Epoch: [55][13430/14090]	Time 0.775 (0.749)	Data 0.001 (0.001)	Loss 2.3097 (2.1724)	Prec@1 39.062 (45.126)	Prec@5 68.750 (75.724)
Epoch: [55][13440/14090]	Time 0.762 (0.749)	Data 0.001 (0.001)	Loss 2.1881 (2.1724)	Prec@1 41.406 (45.125)	Prec@5 75.781 (75.724)
Epoch: [55][13450/14090]	Time 0.749 (0.749)	Data 0.001 (0.001)	Loss 2.4221 (2.1725)	Prec@1 39.844 (45.125)	Prec@5 70.312 (75.723)
Epoch: [55][13460/14090]	Time 0.746 (0.749)	Data 0.001 (0.001)	Loss 2.0410 (2.1725)	Prec@1 49.219 (45.126)	Prec@5 77.344 (75.721)
Epoch: [55][13470/14090]	Time 0.731 (0.749)	Data 0.001 (0.001)	Loss 2.3616 (2.1726)	Prec@1 43.750 (45.125)	Prec@5 70.312 (75.721)
Epoch: [55][13480/14090]	Time 0.759 (0.749)	Data 0.002 (0.001)	Loss 2.1714 (2.1726)	Prec@1 46.875 (45.124)	Prec@5 76.562 (75.720)
Epoch: [55][13490/14090]	Time 0.736 (0.749)	Data 0.001 (0.001)	Loss 1.8914 (2.1726)	Prec@1 46.094 (45.123)	Prec@5 82.812 (75.719)
Epoch: [55][13500/14090]	Time 0.745 (0.749)	Data 0.001 (0.001)	Loss 2.3274 (2.1726)	Prec@1 42.969 (45.121)	Prec@5 71.875 (75.718)
Epoch: [55][13510/14090]	Time 0.744 (0.749)	Data 0.001 (0.001)	Loss 2.3507 (2.1727)	Prec@1 42.969 (45.119)	Prec@5 70.312 (75.717)
Epoch: [55][13520/14090]	Time 0.760 (0.749)	Data 0.001 (0.001)	Loss 2.2377 (2.1727)	Prec@1 42.188 (45.119)	Prec@5 76.562 (75.717)
Epoch: [55][13530/14090]	Time 0.750 (0.749)	Data 0.001 (0.001)	Loss 1.9903 (2.1726)	Prec@1 45.312 (45.120)	Prec@5 75.781 (75.719)
Epoch: [55][13540/14090]	Time 0.748 (0.749)	Data 0.001 (0.001)	Loss 2.1596 (2.1726)	Prec@1 50.781 (45.121)	Prec@5 75.000 (75.719)
Epoch: [55][13550/14090]	Time 0.756 (0.749)	Data 0.002 (0.001)	Loss 2.1627 (2.1727)	Prec@1 48.438 (45.120)	Prec@5 72.656 (75.719)
Epoch: [55][13560/14090]	Time 0.726 (0.749)	Data 0.001 (0.001)	Loss 2.0607 (2.1727)	Prec@1 48.438 (45.120)	Prec@5 75.781 (75.718)
Epoch: [55][13570/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 2.2746 (2.1727)	Prec@1 41.406 (45.119)	Prec@5 78.906 (75.718)
Epoch: [55][13580/14090]	Time 0.724 (0.749)	Data 0.001 (0.001)	Loss 2.1851 (2.1728)	Prec@1 49.219 (45.120)	Prec@5 76.562 (75.717)
Epoch: [55][13590/14090]	Time 0.763 (0.749)	Data 0.001 (0.001)	Loss 1.8051 (2.1727)	Prec@1 51.562 (45.120)	Prec@5 80.469 (75.719)
Epoch: [55][13600/14090]	Time 0.741 (0.749)	Data 0.003 (0.001)	Loss 1.9152 (2.1727)	Prec@1 50.000 (45.120)	Prec@5 78.906 (75.718)
Epoch: [55][13610/14090]	Time 0.760 (0.749)	Data 0.001 (0.001)	Loss 2.1930 (2.1728)	Prec@1 43.750 (45.118)	Prec@5 73.438 (75.717)
Epoch: [55][13620/14090]	Time 0.768 (0.749)	Data 0.002 (0.001)	Loss 2.2651 (2.1728)	Prec@1 43.750 (45.119)	Prec@5 74.219 (75.716)
Epoch: [55][13630/14090]	Time 0.739 (0.749)	Data 0.001 (0.001)	Loss 2.4372 (2.1729)	Prec@1 44.531 (45.118)	Prec@5 70.312 (75.715)
Epoch: [55][13640/14090]	Time 0.752 (0.749)	Data 0.001 (0.001)	Loss 2.3307 (2.1729)	Prec@1 42.188 (45.119)	Prec@5 75.781 (75.715)
Epoch: [55][13650/14090]	Time 0.765 (0.749)	Data 0.001 (0.001)	Loss 1.9431 (2.1728)	Prec@1 46.875 (45.120)	Prec@5 82.812 (75.716)
Epoch: [55][13660/14090]	Time 0.756 (0.749)	Data 0.001 (0.001)	Loss 2.2437 (2.1729)	Prec@1 44.531 (45.120)	Prec@5 71.875 (75.716)
Epoch: [55][13670/14090]	Time 0.746 (0.749)	Data 0.001 (0.001)	Loss 2.4090 (2.1729)	Prec@1 41.406 (45.118)	Prec@5 71.094 (75.715)
Epoch: [55][13680/14090]	Time 0.740 (0.749)	Data 0.001 (0.001)	Loss 2.0120 (2.1729)	Prec@1 48.438 (45.118)	Prec@5 78.906 (75.716)
Epoch: [55][13690/14090]	Time 0.744 (0.749)	Data 0.002 (0.001)	Loss 2.2120 (2.1730)	Prec@1 45.312 (45.118)	Prec@5 72.656 (75.715)
Epoch: [55][13700/14090]	Time 0.766 (0.749)	Data 0.001 (0.001)	Loss 2.0907 (2.1729)	Prec@1 46.875 (45.118)	Prec@5 73.438 (75.715)
Epoch: [55][13710/14090]	Time 0.755 (0.749)	Data 0.001 (0.001)	Loss 2.3898 (2.1730)	Prec@1 45.312 (45.118)	Prec@5 71.875 (75.714)
Epoch: [55][13720/14090]	Time 0.767 (0.749)	Data 0.001 (0.001)	Loss 2.2325 (2.1730)	Prec@1 39.844 (45.117)	Prec@5 77.344 (75.715)
Epoch: [55][13730/14090]	Time 0.757 (0.749)	Data 0.001 (0.001)	Loss 2.4111 (2.1730)	Prec@1 39.062 (45.116)	Prec@5 75.000 (75.714)
Epoch: [55][13740/14090]	Time 0.740 (0.749)	Data 0.001 (0.001)	Loss 2.1448 (2.1731)	Prec@1 46.875 (45.116)	Prec@5 74.219 (75.713)
Epoch: [55][13750/14090]	Time 0.743 (0.749)	Data 0.001 (0.001)	Loss 1.9238 (2.1729)	Prec@1 50.781 (45.118)	Prec@5 78.906 (75.715)
Epoch: [55][13760/14090]	Time 0.735 (0.749)	Data 0.002 (0.001)	Loss 2.3399 (2.1730)	Prec@1 41.406 (45.117)	Prec@5 70.312 (75.713)
Epoch: [55][13770/14090]	Time 0.725 (0.749)	Data 0.001 (0.001)	Loss 2.1790 (2.1730)	Prec@1 47.656 (45.117)	Prec@5 75.000 (75.712)
Epoch: [55][13780/14090]	Time 0.744 (0.749)	Data 0.001 (0.001)	Loss 2.2550 (2.1730)	Prec@1 45.312 (45.118)	Prec@5 71.875 (75.713)
Epoch: [55][13790/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 2.1290 (2.1730)	Prec@1 48.438 (45.118)	Prec@5 75.781 (75.713)
Epoch: [55][13800/14090]	Time 0.791 (0.749)	Data 0.001 (0.001)	Loss 2.2580 (2.1730)	Prec@1 42.188 (45.118)	Prec@5 75.000 (75.712)
Epoch: [55][13810/14090]	Time 0.731 (0.749)	Data 0.001 (0.001)	Loss 2.2595 (2.1730)	Prec@1 40.625 (45.118)	Prec@5 72.656 (75.711)
Epoch: [55][13820/14090]	Time 0.735 (0.749)	Data 0.001 (0.001)	Loss 2.1932 (2.1731)	Prec@1 47.656 (45.116)	Prec@5 75.000 (75.710)
Epoch: [55][13830/14090]	Time 0.765 (0.749)	Data 0.002 (0.001)	Loss 2.0729 (2.1731)	Prec@1 44.531 (45.115)	Prec@5 78.906 (75.710)
Epoch: [55][13840/14090]	Time 0.787 (0.749)	Data 0.001 (0.001)	Loss 2.2268 (2.1731)	Prec@1 36.719 (45.116)	Prec@5 76.562 (75.711)
Epoch: [55][13850/14090]	Time 0.752 (0.749)	Data 0.001 (0.001)	Loss 2.2220 (2.1731)	Prec@1 46.875 (45.114)	Prec@5 72.656 (75.710)
Epoch: [55][13860/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 2.4586 (2.1730)	Prec@1 44.531 (45.116)	Prec@5 70.312 (75.710)
Epoch: [55][13870/14090]	Time 0.747 (0.749)	Data 0.001 (0.001)	Loss 2.1619 (2.1730)	Prec@1 46.875 (45.118)	Prec@5 75.781 (75.710)
Epoch: [55][13880/14090]	Time 0.732 (0.749)	Data 0.001 (0.001)	Loss 2.2838 (2.1730)	Prec@1 46.875 (45.119)	Prec@5 75.000 (75.710)
Epoch: [55][13890/14090]	Time 0.741 (0.749)	Data 0.001 (0.001)	Loss 2.0432 (2.1730)	Prec@1 46.875 (45.119)	Prec@5 77.344 (75.710)
Epoch: [55][13900/14090]	Time 0.739 (0.749)	Data 0.002 (0.001)	Loss 1.9171 (2.1730)	Prec@1 48.438 (45.120)	Prec@5 78.125 (75.710)
Epoch: [55][13910/14090]	Time 0.760 (0.749)	Data 0.001 (0.001)	Loss 1.9992 (2.1730)	Prec@1 51.562 (45.121)	Prec@5 81.250 (75.710)
Epoch: [55][13920/14090]	Time 0.752 (0.749)	Data 0.001 (0.001)	Loss 2.0850 (2.1730)	Prec@1 46.094 (45.120)	Prec@5 79.688 (75.710)
Epoch: [55][13930/14090]	Time 0.726 (0.749)	Data 0.001 (0.001)	Loss 2.2738 (2.1729)	Prec@1 35.938 (45.120)	Prec@5 75.000 (75.710)
Epoch: [55][13940/14090]	Time 0.735 (0.749)	Data 0.001 (0.001)	Loss 1.9248 (2.1729)	Prec@1 50.000 (45.123)	Prec@5 82.031 (75.711)
Epoch: [55][13950/14090]	Time 0.756 (0.749)	Data 0.001 (0.001)	Loss 2.2989 (2.1729)	Prec@1 42.188 (45.122)	Prec@5 75.000 (75.712)
Epoch: [55][13960/14090]	Time 0.757 (0.749)	Data 0.001 (0.001)	Loss 2.1203 (2.1729)	Prec@1 46.094 (45.122)	Prec@5 79.688 (75.712)
Epoch: [55][13970/14090]	Time 0.755 (0.749)	Data 0.002 (0.001)	Loss 2.1555 (2.1729)	Prec@1 42.188 (45.122)	Prec@5 74.219 (75.712)
Epoch: [55][13980/14090]	Time 0.750 (0.749)	Data 0.001 (0.001)	Loss 2.0623 (2.1729)	Prec@1 45.312 (45.123)	Prec@5 76.562 (75.712)
Epoch: [55][13990/14090]	Time 0.753 (0.749)	Data 0.001 (0.001)	Loss 2.0562 (2.1728)	Prec@1 48.438 (45.125)	Prec@5 78.906 (75.714)
Epoch: [55][14000/14090]	Time 0.752 (0.749)	Data 0.001 (0.001)	Loss 2.2698 (2.1728)	Prec@1 42.188 (45.125)	Prec@5 73.438 (75.714)
Epoch: [55][14010/14090]	Time 0.743 (0.749)	Data 0.001 (0.001)	Loss 2.1876 (2.1727)	Prec@1 46.094 (45.125)	Prec@5 74.219 (75.715)
Epoch: [55][14020/14090]	Time 0.758 (0.749)	Data 0.001 (0.001)	Loss 2.0860 (2.1727)	Prec@1 50.781 (45.126)	Prec@5 78.906 (75.716)
Epoch: [55][14030/14090]	Time 0.743 (0.749)	Data 0.001 (0.001)	Loss 2.1880 (2.1727)	Prec@1 45.312 (45.125)	Prec@5 74.219 (75.716)
Epoch: [55][14040/14090]	Time 0.781 (0.749)	Data 0.002 (0.001)	Loss 2.1169 (2.1728)	Prec@1 45.312 (45.123)	Prec@5 75.781 (75.715)
Epoch: [55][14050/14090]	Time 0.739 (0.749)	Data 0.001 (0.001)	Loss 2.1365 (2.1728)	Prec@1 40.625 (45.122)	Prec@5 78.125 (75.715)
Epoch: [55][14060/14090]	Time 0.758 (0.749)	Data 0.001 (0.001)	Loss 2.3487 (2.1728)	Prec@1 45.312 (45.121)	Prec@5 71.875 (75.714)
Epoch: [55][14070/14090]	Time 0.739 (0.749)	Data 0.001 (0.001)	Loss 2.4813 (2.1729)	Prec@1 40.625 (45.120)	Prec@5 66.406 (75.713)
Epoch: [55][14080/14090]	Time 0.751 (0.749)	Data 0.000 (0.001)	Loss 2.0536 (2.1729)	Prec@1 50.000 (45.119)	Prec@5 75.000 (75.713)
Test: [0/286]	Time 4.891 (4.891)	Loss 1.3856 (1.3856)	Prec@1 56.250 (56.250)	Prec@5 96.094 (96.094)
Test: [10/286]	Time 0.227 (0.812)	Loss 1.9884 (1.9221)	Prec@1 46.094 (50.639)	Prec@5 82.031 (82.386)
Test: [20/286]	Time 0.247 (0.622)	Loss 1.4883 (1.8543)	Prec@1 57.812 (51.302)	Prec@5 91.406 (83.668)
Test: [30/286]	Time 0.228 (0.562)	Loss 1.9981 (1.7731)	Prec@1 47.656 (53.679)	Prec@5 79.688 (83.921)
Test: [40/286]	Time 2.085 (0.572)	Loss 1.6592 (1.7812)	Prec@1 51.562 (53.277)	Prec@5 89.062 (84.032)
Test: [50/286]	Time 0.228 (0.542)	Loss 0.7123 (1.7821)	Prec@1 85.156 (53.156)	Prec@5 92.969 (84.084)
Test: [60/286]	Time 0.238 (0.523)	Loss 2.3662 (1.8059)	Prec@1 42.188 (52.894)	Prec@5 75.000 (83.184)
Test: [70/286]	Time 0.223 (0.509)	Loss 1.1902 (1.7905)	Prec@1 71.094 (53.147)	Prec@5 90.625 (83.286)
Test: [80/286]	Time 1.934 (0.518)	Loss 2.0286 (1.8386)	Prec@1 43.750 (51.871)	Prec@5 78.125 (82.571)
Test: [90/286]	Time 0.306 (0.509)	Loss 1.8172 (1.8503)	Prec@1 49.219 (51.717)	Prec@5 84.375 (82.400)
Test: [100/286]	Time 0.233 (0.500)	Loss 2.3704 (1.8622)	Prec@1 28.125 (51.129)	Prec@5 79.688 (82.449)
Test: [110/286]	Time 0.229 (0.493)	Loss 2.4481 (1.8693)	Prec@1 39.062 (50.788)	Prec@5 75.781 (82.531)
Test: [120/286]	Time 1.861 (0.499)	Loss 1.9541 (1.8551)	Prec@1 56.250 (51.201)	Prec@5 76.562 (82.748)
Test: [130/286]	Time 0.230 (0.493)	Loss 1.0161 (1.8391)	Prec@1 71.094 (51.729)	Prec@5 92.969 (82.872)
Test: [140/286]	Time 0.257 (0.490)	Loss 2.2622 (1.8287)	Prec@1 49.219 (51.967)	Prec@5 74.219 (82.940)
Test: [150/286]	Time 0.256 (0.484)	Loss 3.2204 (1.8485)	Prec@1 15.625 (51.237)	Prec@5 62.500 (82.833)
Test: [160/286]	Time 1.695 (0.490)	Loss 2.6512 (1.8454)	Prec@1 28.125 (51.339)	Prec@5 71.094 (82.808)
Test: [170/286]	Time 0.249 (0.487)	Loss 1.4850 (1.8366)	Prec@1 61.719 (51.457)	Prec@5 88.281 (82.936)
Test: [180/286]	Time 0.234 (0.483)	Loss 1.6742 (1.8549)	Prec@1 58.594 (51.006)	Prec@5 83.594 (82.696)
Test: [190/286]	Time 0.227 (0.481)	Loss 2.7880 (1.8742)	Prec@1 17.188 (50.487)	Prec@5 71.875 (82.444)
Test: [200/286]	Time 1.732 (0.485)	Loss 1.7136 (1.8689)	Prec@1 61.719 (50.672)	Prec@5 90.625 (82.463)
Test: [210/286]	Time 0.241 (0.483)	Loss 2.0546 (1.8759)	Prec@1 52.344 (50.467)	Prec@5 83.594 (82.383)
Test: [220/286]	Time 0.236 (0.480)	Loss 3.1028 (1.8811)	Prec@1 21.094 (50.421)	Prec@5 61.719 (82.226)
Test: [230/286]	Time 0.228 (0.477)	Loss 1.1373 (1.8817)	Prec@1 68.750 (50.426)	Prec@5 89.844 (82.190)
Test: [240/286]	Time 1.471 (0.480)	Loss 2.0481 (1.8787)	Prec@1 50.000 (50.616)	Prec@5 78.906 (82.206)
Test: [250/286]	Time 0.232 (0.480)	Loss 1.8823 (1.8683)	Prec@1 46.094 (50.725)	Prec@5 82.812 (82.411)
Test: [260/286]	Time 0.236 (0.477)	Loss 1.6562 (1.8615)	Prec@1 59.375 (50.919)	Prec@5 85.156 (82.537)
Test: [270/286]	Time 0.244 (0.475)	Loss 1.6570 (1.8662)	Prec@1 57.031 (50.940)	Prec@5 87.500 (82.467)
Test: [280/286]	Time 1.546 (0.478)	Loss 1.9804 (1.8523)	Prec@1 48.438 (51.373)	Prec@5 85.156 (82.598)
 * Prec@1 51.503 Prec@5 82.641
Epoch: [56][0/14090]	Time 6.292 (6.292)	Data 5.510 (5.510)	Loss 2.3055 (2.3055)	Prec@1 41.406 (41.406)	Prec@5 73.438 (73.438)
Epoch: [56][10/14090]	Time 0.856 (1.251)	Data 0.001 (0.502)	Loss 2.3610 (2.1762)	Prec@1 40.625 (44.815)	Prec@5 78.906 (76.349)
Epoch: [56][20/14090]	Time 0.733 (1.008)	Data 0.001 (0.263)	Loss 2.1634 (2.1701)	Prec@1 50.000 (45.015)	Prec@5 73.438 (76.116)
Epoch: [56][30/14090]	Time 0.731 (0.921)	Data 0.001 (0.179)	Loss 1.7845 (2.1414)	Prec@1 55.469 (45.766)	Prec@5 82.031 (75.983)
Epoch: [56][40/14090]	Time 0.745 (0.876)	Data 0.001 (0.135)	Loss 2.1286 (2.1429)	Prec@1 45.312 (45.636)	Prec@5 75.000 (76.220)
Epoch: [56][50/14090]	Time 0.754 (0.851)	Data 0.001 (0.109)	Loss 2.1730 (2.1535)	Prec@1 46.875 (45.481)	Prec@5 74.219 (75.888)
Epoch: [56][60/14090]	Time 0.720 (0.833)	Data 0.001 (0.091)	Loss 2.3445 (2.1663)	Prec@1 40.625 (45.223)	Prec@5 70.312 (75.628)
Epoch: [56][70/14090]	Time 0.744 (0.821)	Data 0.001 (0.078)	Loss 1.9626 (2.1516)	Prec@1 45.312 (45.533)	Prec@5 81.250 (76.045)
Epoch: [56][80/14090]	Time 0.733 (0.812)	Data 0.002 (0.069)	Loss 2.0880 (2.1577)	Prec@1 45.312 (45.496)	Prec@5 79.688 (75.993)
Epoch: [56][90/14090]	Time 0.762 (0.805)	Data 0.001 (0.061)	Loss 2.0366 (2.1714)	Prec@1 50.000 (45.295)	Prec@5 75.000 (75.670)
Epoch: [56][100/14090]	Time 0.751 (0.800)	Data 0.001 (0.055)	Loss 2.2521 (2.1752)	Prec@1 42.188 (45.127)	Prec@5 70.312 (75.657)
Epoch: [56][110/14090]	Time 0.736 (0.795)	Data 0.001 (0.051)	Loss 2.3423 (2.1711)	Prec@1 44.531 (45.320)	Prec@5 76.562 (75.711)
Epoch: [56][120/14090]	Time 0.771 (0.792)	Data 0.001 (0.046)	Loss 2.0549 (2.1606)	Prec@1 51.562 (45.538)	Prec@5 75.000 (75.885)
Epoch: [56][130/14090]	Time 0.734 (0.789)	Data 0.001 (0.043)	Loss 1.9655 (2.1537)	Prec@1 50.000 (45.593)	Prec@5 78.906 (76.020)
Epoch: [56][140/14090]	Time 0.770 (0.786)	Data 0.001 (0.040)	Loss 2.2897 (2.1533)	Prec@1 37.500 (45.534)	Prec@5 75.000 (76.025)
Epoch: [56][150/14090]	Time 0.777 (0.783)	Data 0.002 (0.037)	Loss 1.9932 (2.1529)	Prec@1 57.031 (45.659)	Prec@5 80.469 (76.024)
Epoch: [56][160/14090]	Time 0.779 (0.781)	Data 0.001 (0.035)	Loss 2.1380 (2.1533)	Prec@1 42.969 (45.633)	Prec@5 76.562 (76.082)
Epoch: [56][170/14090]	Time 0.722 (0.779)	Data 0.001 (0.033)	Loss 2.2097 (2.1505)	Prec@1 37.500 (45.655)	Prec@5 77.344 (76.179)
Epoch: [56][180/14090]	Time 0.744 (0.778)	Data 0.001 (0.031)	Loss 2.0955 (2.1512)	Prec@1 46.094 (45.723)	Prec@5 78.125 (76.109)
Epoch: [56][190/14090]	Time 0.752 (0.777)	Data 0.001 (0.030)	Loss 2.3261 (2.1491)	Prec@1 39.844 (45.746)	Prec@5 70.312 (76.125)
Epoch: [56][200/14090]	Time 0.762 (0.776)	Data 0.001 (0.028)	Loss 2.3850 (2.1489)	Prec@1 42.969 (45.806)	Prec@5 71.094 (76.081)
Epoch: [56][210/14090]	Time 0.726 (0.775)	Data 0.001 (0.027)	Loss 2.0848 (2.1463)	Prec@1 47.656 (45.894)	Prec@5 75.781 (76.081)
Epoch: [56][220/14090]	Time 0.730 (0.773)	Data 0.002 (0.026)	Loss 2.5837 (2.1482)	Prec@1 39.062 (45.910)	Prec@5 67.969 (75.983)
Epoch: [56][230/14090]	Time 0.755 (0.772)	Data 0.001 (0.025)	Loss 2.2744 (2.1496)	Prec@1 41.406 (45.877)	Prec@5 72.656 (75.998)
Epoch: [56][240/14090]	Time 0.740 (0.771)	Data 0.001 (0.024)	Loss 2.2507 (2.1494)	Prec@1 42.969 (45.847)	Prec@5 78.906 (76.031)
Epoch: [56][250/14090]	Time 0.743 (0.770)	Data 0.001 (0.023)	Loss 2.3016 (2.1505)	Prec@1 40.625 (45.776)	Prec@5 69.531 (76.008)
Epoch: [56][260/14090]	Time 0.736 (0.770)	Data 0.001 (0.022)	Loss 2.4944 (2.1512)	Prec@1 32.031 (45.764)	Prec@5 73.438 (76.003)
Epoch: [56][270/14090]	Time 0.732 (0.769)	Data 0.001 (0.021)	Loss 2.2140 (2.1519)	Prec@1 42.188 (45.733)	Prec@5 73.438 (75.948)
Epoch: [56][280/14090]	Time 0.756 (0.768)	Data 0.001 (0.021)	Loss 2.3197 (2.1524)	Prec@1 40.625 (45.677)	Prec@5 72.656 (75.920)
Epoch: [56][290/14090]	Time 0.758 (0.768)	Data 0.002 (0.020)	Loss 2.3136 (2.1543)	Prec@1 42.188 (45.581)	Prec@5 70.312 (75.958)
Epoch: [56][300/14090]	Time 0.749 (0.767)	Data 0.001 (0.019)	Loss 2.2428 (2.1546)	Prec@1 44.531 (45.518)	Prec@5 74.219 (75.945)
Epoch: [56][310/14090]	Time 0.765 (0.767)	Data 0.001 (0.019)	Loss 2.0138 (2.1551)	Prec@1 49.219 (45.471)	Prec@5 82.812 (75.970)
Epoch: [56][320/14090]	Time 0.772 (0.767)	Data 0.001 (0.018)	Loss 2.0629 (2.1564)	Prec@1 51.562 (45.459)	Prec@5 77.344 (75.908)
Epoch: [56][330/14090]	Time 0.750 (0.766)	Data 0.001 (0.018)	Loss 2.1736 (2.1574)	Prec@1 46.875 (45.421)	Prec@5 74.219 (75.892)
Epoch: [56][340/14090]	Time 0.753 (0.766)	Data 0.001 (0.017)	Loss 2.0887 (2.1570)	Prec@1 46.094 (45.409)	Prec@5 75.781 (75.884)
Epoch: [56][350/14090]	Time 0.767 (0.765)	Data 0.001 (0.017)	Loss 2.1654 (2.1582)	Prec@1 44.531 (45.410)	Prec@5 78.906 (75.870)
Epoch: [56][360/14090]	Time 0.742 (0.765)	Data 0.002 (0.016)	Loss 2.2285 (2.1565)	Prec@1 44.531 (45.466)	Prec@5 78.125 (75.926)
Epoch: [56][370/14090]	Time 0.751 (0.765)	Data 0.001 (0.016)	Loss 2.2222 (2.1564)	Prec@1 42.969 (45.483)	Prec@5 76.562 (75.935)
Epoch: [56][380/14090]	Time 0.762 (0.764)	Data 0.002 (0.015)	Loss 2.4122 (2.1575)	Prec@1 42.969 (45.495)	Prec@5 69.531 (75.923)
Epoch: [56][390/14090]	Time 0.776 (0.764)	Data 0.001 (0.015)	Loss 2.2307 (2.1569)	Prec@1 42.969 (45.512)	Prec@5 76.562 (75.905)
Epoch: [56][400/14090]	Time 0.744 (0.764)	Data 0.001 (0.015)	Loss 2.1783 (2.1557)	Prec@1 47.656 (45.521)	Prec@5 76.562 (75.927)
Epoch: [56][410/14090]	Time 0.729 (0.763)	Data 0.001 (0.014)	Loss 2.2705 (2.1545)	Prec@1 37.500 (45.518)	Prec@5 75.781 (75.966)
Epoch: [56][420/14090]	Time 0.750 (0.763)	Data 0.001 (0.014)	Loss 2.2981 (2.1554)	Prec@1 43.750 (45.509)	Prec@5 71.094 (75.941)
Epoch: [56][430/14090]	Time 0.757 (0.763)	Data 0.002 (0.014)	Loss 2.2621 (2.1567)	Prec@1 40.625 (45.499)	Prec@5 76.562 (75.915)
Epoch: [56][440/14090]	Time 0.724 (0.763)	Data 0.001 (0.013)	Loss 2.0858 (2.1553)	Prec@1 48.438 (45.536)	Prec@5 78.906 (75.928)
Epoch: [56][450/14090]	Time 0.752 (0.762)	Data 0.001 (0.013)	Loss 2.1253 (2.1559)	Prec@1 50.000 (45.522)	Prec@5 78.906 (75.935)
Epoch: [56][460/14090]	Time 0.750 (0.762)	Data 0.001 (0.013)	Loss 2.1038 (2.1555)	Prec@1 48.438 (45.535)	Prec@5 78.125 (75.947)
Epoch: [56][470/14090]	Time 0.743 (0.762)	Data 0.001 (0.013)	Loss 2.2122 (2.1563)	Prec@1 44.531 (45.488)	Prec@5 74.219 (75.954)
Epoch: [56][480/14090]	Time 0.789 (0.762)	Data 0.001 (0.012)	Loss 2.2537 (2.1563)	Prec@1 42.188 (45.481)	Prec@5 72.656 (75.936)
Epoch: [56][490/14090]	Time 0.751 (0.761)	Data 0.001 (0.012)	Loss 2.2317 (2.1574)	Prec@1 50.781 (45.459)	Prec@5 71.094 (75.909)
Epoch: [56][500/14090]	Time 0.732 (0.761)	Data 0.002 (0.012)	Loss 2.3810 (2.1580)	Prec@1 42.969 (45.429)	Prec@5 68.750 (75.909)
Epoch: [56][510/14090]	Time 0.753 (0.761)	Data 0.001 (0.012)	Loss 2.1393 (2.1567)	Prec@1 42.188 (45.441)	Prec@5 76.562 (75.972)
Epoch: [56][520/14090]	Time 0.737 (0.761)	Data 0.001 (0.012)	Loss 2.0952 (2.1571)	Prec@1 41.406 (45.422)	Prec@5 79.688 (75.978)
Epoch: [56][530/14090]	Time 0.743 (0.761)	Data 0.001 (0.011)	Loss 2.3977 (2.1577)	Prec@1 41.406 (45.414)	Prec@5 75.000 (75.983)
Epoch: [56][540/14090]	Time 0.761 (0.760)	Data 0.001 (0.011)	Loss 2.1167 (2.1576)	Prec@1 42.188 (45.418)	Prec@5 78.125 (75.992)
Epoch: [56][550/14090]	Time 0.763 (0.760)	Data 0.001 (0.011)	Loss 2.2801 (2.1571)	Prec@1 39.062 (45.434)	Prec@5 75.781 (75.994)
Epoch: [56][560/14090]	Time 0.749 (0.760)	Data 0.002 (0.011)	Loss 2.1885 (2.1574)	Prec@1 42.188 (45.397)	Prec@5 73.438 (75.992)
Epoch: [56][570/14090]	Time 0.767 (0.760)	Data 0.002 (0.011)	Loss 2.4129 (2.1568)	Prec@1 42.188 (45.395)	Prec@5 74.219 (76.010)
Epoch: [56][580/14090]	Time 0.778 (0.760)	Data 0.001 (0.010)	Loss 2.0327 (2.1565)	Prec@1 51.562 (45.400)	Prec@5 77.344 (76.014)
Epoch: [56][590/14090]	Time 0.783 (0.760)	Data 0.001 (0.010)	Loss 2.3429 (2.1575)	Prec@1 41.406 (45.350)	Prec@5 71.875 (75.989)
Epoch: [56][600/14090]	Time 0.740 (0.759)	Data 0.001 (0.010)	Loss 2.1222 (2.1582)	Prec@1 44.531 (45.337)	Prec@5 81.250 (75.981)
Epoch: [56][610/14090]	Time 0.754 (0.759)	Data 0.001 (0.010)	Loss 2.6513 (2.1580)	Prec@1 35.938 (45.348)	Prec@5 61.719 (75.991)
Epoch: [56][620/14090]	Time 0.738 (0.759)	Data 0.001 (0.010)	Loss 2.2304 (2.1577)	Prec@1 45.312 (45.334)	Prec@5 77.344 (75.983)
Epoch: [56][630/14090]	Time 0.748 (0.759)	Data 0.001 (0.010)	Loss 1.9520 (2.1569)	Prec@1 52.344 (45.360)	Prec@5 78.125 (75.999)
Epoch: [56][640/14090]	Time 0.760 (0.759)	Data 0.002 (0.010)	Loss 2.1960 (2.1560)	Prec@1 43.750 (45.375)	Prec@5 71.875 (76.014)
Epoch: [56][650/14090]	Time 0.759 (0.759)	Data 0.001 (0.009)	Loss 2.0984 (2.1562)	Prec@1 47.656 (45.353)	Prec@5 78.125 (76.027)
Epoch: [56][660/14090]	Time 0.773 (0.759)	Data 0.002 (0.009)	Loss 2.0605 (2.1562)	Prec@1 47.656 (45.383)	Prec@5 81.250 (76.018)
Epoch: [56][670/14090]	Time 0.750 (0.759)	Data 0.001 (0.009)	Loss 2.1613 (2.1557)	Prec@1 45.312 (45.378)	Prec@5 78.906 (76.040)
Epoch: [56][680/14090]	Time 0.725 (0.758)	Data 0.001 (0.009)	Loss 2.1785 (2.1546)	Prec@1 39.062 (45.370)	Prec@5 73.438 (76.053)
Epoch: [56][690/14090]	Time 0.757 (0.758)	Data 0.001 (0.009)	Loss 1.9638 (2.1542)	Prec@1 50.000 (45.395)	Prec@5 78.125 (76.053)
Epoch: [56][700/14090]	Time 0.740 (0.758)	Data 0.001 (0.009)	Loss 2.1495 (2.1542)	Prec@1 50.000 (45.404)	Prec@5 73.438 (76.038)
Epoch: [56][710/14090]	Time 0.736 (0.758)	Data 0.002 (0.009)	Loss 2.1538 (2.1537)	Prec@1 48.438 (45.393)	Prec@5 75.781 (76.052)
Epoch: [56][720/14090]	Time 0.730 (0.758)	Data 0.001 (0.009)	Loss 1.9636 (2.1531)	Prec@1 54.688 (45.424)	Prec@5 79.688 (76.058)
Epoch: [56][730/14090]	Time 0.758 (0.758)	Data 0.002 (0.009)	Loss 1.9221 (2.1535)	Prec@1 50.781 (45.433)	Prec@5 78.906 (76.052)
Epoch: [56][740/14090]	Time 0.761 (0.758)	Data 0.001 (0.008)	Loss 2.0587 (2.1522)	Prec@1 45.312 (45.449)	Prec@5 79.688 (76.085)
Epoch: [56][750/14090]	Time 0.756 (0.758)	Data 0.001 (0.008)	Loss 2.2928 (2.1514)	Prec@1 44.531 (45.478)	Prec@5 74.219 (76.093)
Epoch: [56][760/14090]	Time 0.726 (0.758)	Data 0.001 (0.008)	Loss 2.1499 (2.1520)	Prec@1 44.531 (45.463)	Prec@5 72.656 (76.080)
Epoch: [56][770/14090]	Time 0.743 (0.757)	Data 0.001 (0.008)	Loss 2.1133 (2.1513)	Prec@1 46.875 (45.463)	Prec@5 75.000 (76.084)
Epoch: [56][780/14090]	Time 0.751 (0.757)	Data 0.002 (0.008)	Loss 2.1512 (2.1509)	Prec@1 38.281 (45.445)	Prec@5 76.562 (76.087)
Epoch: [56][790/14090]	Time 0.779 (0.757)	Data 0.001 (0.008)	Loss 2.3041 (2.1527)	Prec@1 38.281 (45.393)	Prec@5 75.000 (76.067)
Epoch: [56][800/14090]	Time 0.738 (0.757)	Data 0.001 (0.008)	Loss 2.2074 (2.1525)	Prec@1 43.750 (45.399)	Prec@5 78.906 (76.066)
Epoch: [56][810/14090]	Time 0.753 (0.757)	Data 0.001 (0.008)	Loss 1.9249 (2.1517)	Prec@1 46.875 (45.406)	Prec@5 78.906 (76.083)
Epoch: [56][820/14090]	Time 0.738 (0.757)	Data 0.001 (0.008)	Loss 1.8209 (2.1511)	Prec@1 56.250 (45.410)	Prec@5 81.250 (76.103)
Epoch: [56][830/14090]	Time 0.740 (0.757)	Data 0.001 (0.008)	Loss 2.1778 (2.1510)	Prec@1 42.969 (45.399)	Prec@5 74.219 (76.077)
Epoch: [56][840/14090]	Time 0.737 (0.757)	Data 0.001 (0.008)	Loss 2.2218 (2.1526)	Prec@1 43.750 (45.375)	Prec@5 71.094 (76.055)
Epoch: [56][850/14090]	Time 0.747 (0.757)	Data 0.002 (0.007)	Loss 1.9861 (2.1534)	Prec@1 53.906 (45.372)	Prec@5 72.656 (76.022)
Epoch: [56][860/14090]	Time 0.735 (0.757)	Data 0.001 (0.007)	Loss 2.4084 (2.1541)	Prec@1 39.062 (45.370)	Prec@5 71.875 (76.004)
Epoch: [56][870/14090]	Time 0.742 (0.757)	Data 0.001 (0.007)	Loss 2.3943 (2.1535)	Prec@1 42.188 (45.378)	Prec@5 70.312 (76.003)
Epoch: [56][880/14090]	Time 0.759 (0.757)	Data 0.001 (0.007)	Loss 2.2903 (2.1528)	Prec@1 43.750 (45.391)	Prec@5 73.438 (76.014)
Epoch: [56][890/14090]	Time 0.750 (0.756)	Data 0.001 (0.007)	Loss 2.1919 (2.1526)	Prec@1 44.531 (45.398)	Prec@5 78.906 (76.017)
Epoch: [56][900/14090]	Time 0.783 (0.756)	Data 0.001 (0.007)	Loss 2.3539 (2.1527)	Prec@1 39.062 (45.391)	Prec@5 72.656 (76.021)
Epoch: [56][910/14090]	Time 0.767 (0.756)	Data 0.001 (0.007)	Loss 2.3925 (2.1530)	Prec@1 40.625 (45.385)	Prec@5 70.312 (76.016)
Epoch: [56][920/14090]	Time 0.750 (0.756)	Data 0.002 (0.007)	Loss 2.1580 (2.1522)	Prec@1 41.406 (45.413)	Prec@5 75.000 (76.031)
Epoch: [56][930/14090]	Time 0.752 (0.756)	Data 0.001 (0.007)	Loss 2.0515 (2.1528)	Prec@1 46.094 (45.399)	Prec@5 78.125 (76.028)
Epoch: [56][940/14090]	Time 0.746 (0.756)	Data 0.001 (0.007)	Loss 2.5062 (2.1534)	Prec@1 42.969 (45.389)	Prec@5 65.625 (76.009)
Epoch: [56][950/14090]	Time 0.786 (0.756)	Data 0.001 (0.007)	Loss 2.1865 (2.1537)	Prec@1 44.531 (45.391)	Prec@5 74.219 (75.994)
Epoch: [56][960/14090]	Time 0.732 (0.756)	Data 0.001 (0.007)	Loss 2.0322 (2.1542)	Prec@1 44.531 (45.386)	Prec@5 75.000 (75.985)
Epoch: [56][970/14090]	Time 0.724 (0.756)	Data 0.001 (0.007)	Loss 2.0037 (2.1531)	Prec@1 48.438 (45.404)	Prec@5 82.812 (76.008)
Epoch: [56][980/14090]	Time 0.732 (0.756)	Data 0.001 (0.007)	Loss 2.4576 (2.1528)	Prec@1 46.875 (45.445)	Prec@5 67.969 (76.000)
Epoch: [56][990/14090]	Time 0.755 (0.756)	Data 0.002 (0.007)	Loss 1.9940 (2.1527)	Prec@1 46.875 (45.448)	Prec@5 78.125 (76.000)
Epoch: [56][1000/14090]	Time 0.766 (0.756)	Data 0.001 (0.006)	Loss 2.0782 (2.1527)	Prec@1 46.094 (45.432)	Prec@5 76.562 (75.996)
Epoch: [56][1010/14090]	Time 0.738 (0.756)	Data 0.001 (0.006)	Loss 2.1124 (2.1522)	Prec@1 48.438 (45.453)	Prec@5 75.000 (76.003)
Epoch: [56][1020/14090]	Time 0.772 (0.756)	Data 0.001 (0.006)	Loss 2.3017 (2.1525)	Prec@1 44.531 (45.452)	Prec@5 75.781 (76.007)
Epoch: [56][1030/14090]	Time 0.740 (0.756)	Data 0.001 (0.006)	Loss 2.2158 (2.1526)	Prec@1 42.969 (45.452)	Prec@5 74.219 (76.005)
Epoch: [56][1040/14090]	Time 0.761 (0.755)	Data 0.001 (0.006)	Loss 2.3973 (2.1525)	Prec@1 35.156 (45.450)	Prec@5 71.875 (76.000)
Epoch: [56][1050/14090]	Time 0.744 (0.755)	Data 0.001 (0.006)	Loss 2.1400 (2.1522)	Prec@1 42.188 (45.457)	Prec@5 71.875 (76.006)
Epoch: [56][1060/14090]	Time 0.764 (0.755)	Data 0.002 (0.006)	Loss 2.2198 (2.1529)	Prec@1 42.969 (45.449)	Prec@5 75.781 (76.001)
Epoch: [56][1070/14090]	Time 0.754 (0.755)	Data 0.001 (0.006)	Loss 2.4348 (2.1534)	Prec@1 39.844 (45.451)	Prec@5 71.875 (75.998)
Epoch: [56][1080/14090]	Time 0.742 (0.755)	Data 0.001 (0.006)	Loss 2.1719 (2.1535)	Prec@1 39.844 (45.438)	Prec@5 79.688 (76.007)
Epoch: [56][1090/14090]	Time 0.730 (0.755)	Data 0.001 (0.006)	Loss 2.1404 (2.1535)	Prec@1 46.875 (45.438)	Prec@5 78.906 (76.005)
Epoch: [56][1100/14090]	Time 0.739 (0.755)	Data 0.001 (0.006)	Loss 2.3387 (2.1528)	Prec@1 39.844 (45.471)	Prec@5 71.875 (76.015)
Epoch: [56][1110/14090]	Time 0.757 (0.755)	Data 0.003 (0.006)	Loss 1.9677 (2.1519)	Prec@1 46.094 (45.482)	Prec@5 78.125 (76.047)
Epoch: [56][1120/14090]	Time 0.760 (0.755)	Data 0.001 (0.006)	Loss 2.1760 (2.1526)	Prec@1 39.844 (45.453)	Prec@5 75.000 (76.034)
Epoch: [56][1130/14090]	Time 0.748 (0.755)	Data 0.002 (0.006)	Loss 2.3317 (2.1533)	Prec@1 39.844 (45.432)	Prec@5 72.656 (76.016)
Epoch: [56][1140/14090]	Time 0.756 (0.755)	Data 0.001 (0.006)	Loss 2.4168 (2.1530)	Prec@1 35.156 (45.421)	Prec@5 72.656 (76.029)
Epoch: [56][1150/14090]	Time 0.760 (0.755)	Data 0.001 (0.006)	Loss 1.9731 (2.1526)	Prec@1 47.656 (45.427)	Prec@5 78.125 (76.041)
Epoch: [56][1160/14090]	Time 0.750 (0.755)	Data 0.001 (0.006)	Loss 2.0801 (2.1516)	Prec@1 49.219 (45.460)	Prec@5 76.562 (76.059)
Epoch: [56][1170/14090]	Time 0.741 (0.755)	Data 0.001 (0.006)	Loss 2.2155 (2.1519)	Prec@1 42.188 (45.459)	Prec@5 75.000 (76.047)
Epoch: [56][1180/14090]	Time 0.739 (0.755)	Data 0.001 (0.006)	Loss 1.9832 (2.1509)	Prec@1 53.906 (45.484)	Prec@5 76.562 (76.078)
Epoch: [56][1190/14090]	Time 0.760 (0.755)	Data 0.001 (0.006)	Loss 2.1789 (2.1517)	Prec@1 48.438 (45.486)	Prec@5 78.125 (76.061)
Epoch: [56][1200/14090]	Time 0.725 (0.755)	Data 0.002 (0.006)	Loss 1.9014 (2.1512)	Prec@1 47.656 (45.500)	Prec@5 86.719 (76.075)
Epoch: [56][1210/14090]	Time 0.743 (0.755)	Data 0.001 (0.006)	Loss 2.0726 (2.1508)	Prec@1 44.531 (45.514)	Prec@5 78.906 (76.075)
Epoch: [56][1220/14090]	Time 0.740 (0.755)	Data 0.001 (0.005)	Loss 2.1185 (2.1503)	Prec@1 50.000 (45.520)	Prec@5 78.125 (76.079)
Epoch: [56][1230/14090]	Time 0.778 (0.755)	Data 0.001 (0.005)	Loss 1.9217 (2.1502)	Prec@1 52.344 (45.524)	Prec@5 81.250 (76.085)
Epoch: [56][1240/14090]	Time 0.739 (0.755)	Data 0.001 (0.005)	Loss 1.9143 (2.1501)	Prec@1 45.312 (45.509)	Prec@5 78.906 (76.080)
Epoch: [56][1250/14090]	Time 0.726 (0.755)	Data 0.001 (0.005)	Loss 2.1475 (2.1498)	Prec@1 42.969 (45.509)	Prec@5 78.125 (76.095)
Epoch: [56][1260/14090]	Time 0.773 (0.755)	Data 0.001 (0.005)	Loss 2.2185 (2.1496)	Prec@1 42.969 (45.516)	Prec@5 75.000 (76.096)
Epoch: [56][1270/14090]	Time 0.772 (0.755)	Data 0.002 (0.005)	Loss 2.1533 (2.1497)	Prec@1 42.188 (45.507)	Prec@5 71.094 (76.086)
Epoch: [56][1280/14090]	Time 0.750 (0.755)	Data 0.001 (0.005)	Loss 1.9652 (2.1491)	Prec@1 46.094 (45.504)	Prec@5 78.125 (76.086)
Epoch: [56][1290/14090]	Time 0.752 (0.754)	Data 0.001 (0.005)	Loss 2.2717 (2.1492)	Prec@1 39.062 (45.487)	Prec@5 75.781 (76.088)
Epoch: [56][1300/14090]	Time 0.734 (0.755)	Data 0.001 (0.005)	Loss 2.0061 (2.1493)	Prec@1 48.438 (45.495)	Prec@5 78.125 (76.085)
Epoch: [56][1310/14090]	Time 0.766 (0.754)	Data 0.001 (0.005)	Loss 2.1520 (2.1496)	Prec@1 47.656 (45.495)	Prec@5 75.781 (76.075)
Epoch: [56][1320/14090]	Time 0.758 (0.754)	Data 0.001 (0.005)	Loss 2.3585 (2.1505)	Prec@1 40.625 (45.470)	Prec@5 72.656 (76.059)
Epoch: [56][1330/14090]	Time 0.745 (0.754)	Data 0.001 (0.005)	Loss 1.7369 (2.1496)	Prec@1 49.219 (45.490)	Prec@5 87.500 (76.076)
Epoch: [56][1340/14090]	Time 0.758 (0.754)	Data 0.002 (0.005)	Loss 2.3103 (2.1492)	Prec@1 45.312 (45.500)	Prec@5 75.781 (76.086)
Epoch: [56][1350/14090]	Time 0.740 (0.754)	Data 0.001 (0.005)	Loss 2.1003 (2.1495)	Prec@1 49.219 (45.498)	Prec@5 70.312 (76.077)
Epoch: [56][1360/14090]	Time 0.761 (0.754)	Data 0.001 (0.005)	Loss 2.0935 (2.1493)	Prec@1 46.094 (45.498)	Prec@5 77.344 (76.083)
Epoch: [56][1370/14090]	Time 0.740 (0.754)	Data 0.001 (0.005)	Loss 2.2604 (2.1494)	Prec@1 44.531 (45.493)	Prec@5 77.344 (76.083)
Epoch: [56][1380/14090]	Time 0.717 (0.754)	Data 0.001 (0.005)	Loss 1.8112 (2.1496)	Prec@1 53.125 (45.500)	Prec@5 85.938 (76.078)
Epoch: [56][1390/14090]	Time 0.753 (0.754)	Data 0.001 (0.005)	Loss 2.2094 (2.1498)	Prec@1 45.312 (45.509)	Prec@5 73.438 (76.070)
Epoch: [56][1400/14090]	Time 0.748 (0.754)	Data 0.001 (0.005)	Loss 2.4115 (2.1501)	Prec@1 39.844 (45.504)	Prec@5 75.781 (76.060)
Epoch: [56][1410/14090]	Time 0.725 (0.754)	Data 0.002 (0.005)	Loss 2.5110 (2.1504)	Prec@1 40.625 (45.497)	Prec@5 66.406 (76.050)
Epoch: [56][1420/14090]	Time 0.730 (0.754)	Data 0.001 (0.005)	Loss 2.0140 (2.1506)	Prec@1 46.875 (45.493)	Prec@5 81.250 (76.048)
Epoch: [56][1430/14090]	Time 0.766 (0.754)	Data 0.001 (0.005)	Loss 2.0328 (2.1511)	Prec@1 49.219 (45.475)	Prec@5 79.688 (76.041)
Epoch: [56][1440/14090]	Time 0.763 (0.754)	Data 0.001 (0.005)	Loss 2.2248 (2.1512)	Prec@1 41.406 (45.485)	Prec@5 78.906 (76.039)
Epoch: [56][1450/14090]	Time 0.739 (0.754)	Data 0.001 (0.005)	Loss 2.1260 (2.1509)	Prec@1 47.656 (45.492)	Prec@5 75.781 (76.046)
Epoch: [56][1460/14090]	Time 0.751 (0.754)	Data 0.001 (0.005)	Loss 2.0252 (2.1505)	Prec@1 50.000 (45.517)	Prec@5 78.125 (76.052)
Epoch: [56][1470/14090]	Time 0.761 (0.754)	Data 0.001 (0.005)	Loss 1.9638 (2.1507)	Prec@1 49.219 (45.511)	Prec@5 81.250 (76.056)
Epoch: [56][1480/14090]	Time 0.749 (0.754)	Data 0.002 (0.005)	Loss 2.1365 (2.1506)	Prec@1 47.656 (45.516)	Prec@5 77.344 (76.055)
Epoch: [56][1490/14090]	Time 0.749 (0.754)	Data 0.001 (0.005)	Loss 2.1436 (2.1511)	Prec@1 43.750 (45.519)	Prec@5 76.562 (76.048)
Epoch: [56][1500/14090]	Time 0.733 (0.754)	Data 0.001 (0.005)	Loss 2.0361 (2.1510)	Prec@1 45.312 (45.507)	Prec@5 75.781 (76.055)
Epoch: [56][1510/14090]	Time 0.759 (0.754)	Data 0.001 (0.005)	Loss 1.9493 (2.1510)	Prec@1 51.562 (45.513)	Prec@5 77.344 (76.056)
Epoch: [56][1520/14090]	Time 0.749 (0.754)	Data 0.001 (0.005)	Loss 2.4099 (2.1513)	Prec@1 39.844 (45.503)	Prec@5 73.438 (76.053)
Epoch: [56][1530/14090]	Time 0.735 (0.754)	Data 0.001 (0.005)	Loss 2.0925 (2.1507)	Prec@1 46.875 (45.504)	Prec@5 78.906 (76.064)
Epoch: [56][1540/14090]	Time 0.756 (0.754)	Data 0.001 (0.005)	Loss 2.0948 (2.1500)	Prec@1 46.875 (45.520)	Prec@5 78.906 (76.077)
Epoch: [56][1550/14090]	Time 0.770 (0.754)	Data 0.002 (0.005)	Loss 1.9571 (2.1503)	Prec@1 50.000 (45.508)	Prec@5 79.688 (76.073)
Epoch: [56][1560/14090]	Time 0.746 (0.754)	Data 0.001 (0.005)	Loss 2.2239 (2.1500)	Prec@1 42.969 (45.512)	Prec@5 73.438 (76.071)
Epoch: [56][1570/14090]	Time 0.780 (0.754)	Data 0.001 (0.004)	Loss 2.1657 (2.1506)	Prec@1 44.531 (45.493)	Prec@5 78.906 (76.055)
Epoch: [56][1580/14090]	Time 0.734 (0.754)	Data 0.001 (0.004)	Loss 1.9608 (2.1507)	Prec@1 48.438 (45.493)	Prec@5 80.469 (76.052)
Epoch: [56][1590/14090]	Time 0.778 (0.754)	Data 0.001 (0.004)	Loss 1.9927 (2.1509)	Prec@1 51.562 (45.485)	Prec@5 82.031 (76.053)
Epoch: [56][1600/14090]	Time 0.760 (0.754)	Data 0.001 (0.004)	Loss 2.4031 (2.1510)	Prec@1 43.750 (45.477)	Prec@5 70.312 (76.049)
Epoch: [56][1610/14090]	Time 0.752 (0.753)	Data 0.001 (0.004)	Loss 2.0960 (2.1507)	Prec@1 50.000 (45.489)	Prec@5 73.438 (76.053)
Epoch: [56][1620/14090]	Time 0.762 (0.754)	Data 0.002 (0.004)	Loss 2.2485 (2.1507)	Prec@1 44.531 (45.492)	Prec@5 78.125 (76.053)
Epoch: [56][1630/14090]	Time 0.751 (0.753)	Data 0.001 (0.004)	Loss 2.1754 (2.1507)	Prec@1 43.750 (45.486)	Prec@5 77.344 (76.054)
Epoch: [56][1640/14090]	Time 0.742 (0.753)	Data 0.001 (0.004)	Loss 2.1324 (2.1506)	Prec@1 42.969 (45.480)	Prec@5 76.562 (76.060)
Epoch: [56][1650/14090]	Time 0.744 (0.753)	Data 0.001 (0.004)	Loss 2.4077 (2.1509)	Prec@1 42.188 (45.474)	Prec@5 72.656 (76.053)
Epoch: [56][1660/14090]	Time 0.753 (0.753)	Data 0.001 (0.004)	Loss 2.1120 (2.1515)	Prec@1 44.531 (45.457)	Prec@5 78.906 (76.046)
Epoch: [56][1670/14090]	Time 0.785 (0.753)	Data 0.001 (0.004)	Loss 2.2801 (2.1517)	Prec@1 46.094 (45.454)	Prec@5 75.781 (76.042)
Epoch: [56][1680/14090]	Time 0.749 (0.753)	Data 0.001 (0.004)	Loss 2.1294 (2.1515)	Prec@1 47.656 (45.461)	Prec@5 72.656 (76.051)
Epoch: [56][1690/14090]	Time 0.753 (0.753)	Data 0.002 (0.004)	Loss 2.3613 (2.1515)	Prec@1 40.625 (45.464)	Prec@5 73.438 (76.042)
Epoch: [56][1700/14090]	Time 0.771 (0.753)	Data 0.001 (0.004)	Loss 2.5475 (2.1514)	Prec@1 37.500 (45.473)	Prec@5 70.312 (76.040)
Epoch: [56][1710/14090]	Time 0.738 (0.753)	Data 0.001 (0.004)	Loss 2.0278 (2.1513)	Prec@1 48.438 (45.479)	Prec@5 78.125 (76.031)
Epoch: [56][1720/14090]	Time 0.741 (0.753)	Data 0.001 (0.004)	Loss 2.3775 (2.1516)	Prec@1 42.188 (45.478)	Prec@5 72.656 (76.025)
Epoch: [56][1730/14090]	Time 0.777 (0.753)	Data 0.001 (0.004)	Loss 2.0437 (2.1517)	Prec@1 49.219 (45.485)	Prec@5 76.562 (76.018)
Epoch: [56][1740/14090]	Time 0.758 (0.753)	Data 0.001 (0.004)	Loss 2.2403 (2.1520)	Prec@1 43.750 (45.480)	Prec@5 72.656 (76.015)
Epoch: [56][1750/14090]	Time 0.749 (0.753)	Data 0.001 (0.004)	Loss 1.9796 (2.1517)	Prec@1 47.656 (45.486)	Prec@5 75.781 (76.019)
Epoch: [56][1760/14090]	Time 0.733 (0.753)	Data 0.002 (0.004)	Loss 2.2300 (2.1518)	Prec@1 49.219 (45.481)	Prec@5 75.781 (76.022)
Epoch: [56][1770/14090]	Time 0.742 (0.753)	Data 0.001 (0.004)	Loss 2.0495 (2.1521)	Prec@1 50.000 (45.479)	Prec@5 78.906 (76.015)
Epoch: [56][1780/14090]	Time 0.760 (0.753)	Data 0.001 (0.004)	Loss 2.0741 (2.1522)	Prec@1 50.000 (45.476)	Prec@5 76.562 (76.014)
Epoch: [56][1790/14090]	Time 0.758 (0.753)	Data 0.001 (0.004)	Loss 2.4291 (2.1521)	Prec@1 40.625 (45.476)	Prec@5 71.875 (76.016)
Epoch: [56][1800/14090]	Time 0.753 (0.753)	Data 0.001 (0.004)	Loss 2.4002 (2.1527)	Prec@1 45.312 (45.473)	Prec@5 75.000 (76.002)
Epoch: [56][1810/14090]	Time 0.761 (0.753)	Data 0.001 (0.004)	Loss 2.1011 (2.1530)	Prec@1 42.969 (45.461)	Prec@5 76.562 (75.991)
Epoch: [56][1820/14090]	Time 0.771 (0.753)	Data 0.001 (0.004)	Loss 2.4581 (2.1530)	Prec@1 35.938 (45.455)	Prec@5 72.656 (75.987)
Epoch: [56][1830/14090]	Time 0.747 (0.753)	Data 0.002 (0.004)	Loss 2.5394 (2.1531)	Prec@1 44.531 (45.458)	Prec@5 69.531 (75.985)
Epoch: [56][1840/14090]	Time 0.738 (0.753)	Data 0.001 (0.004)	Loss 2.1906 (2.1532)	Prec@1 45.312 (45.462)	Prec@5 73.438 (75.982)
Epoch: [56][1850/14090]	Time 0.763 (0.753)	Data 0.001 (0.004)	Loss 2.5562 (2.1532)	Prec@1 39.062 (45.469)	Prec@5 66.406 (75.980)
Epoch: [56][1860/14090]	Time 0.797 (0.753)	Data 0.001 (0.004)	Loss 1.9901 (2.1528)	Prec@1 44.531 (45.481)	Prec@5 79.688 (75.989)
Epoch: [56][1870/14090]	Time 0.751 (0.753)	Data 0.001 (0.004)	Loss 2.2119 (2.1531)	Prec@1 48.438 (45.478)	Prec@5 68.750 (75.980)
Epoch: [56][1880/14090]	Time 0.745 (0.753)	Data 0.001 (0.004)	Loss 1.9817 (2.1529)	Prec@1 51.562 (45.471)	Prec@5 73.438 (75.986)
Epoch: [56][1890/14090]	Time 0.750 (0.753)	Data 0.001 (0.004)	Loss 1.8950 (2.1527)	Prec@1 53.125 (45.480)	Prec@5 82.812 (75.989)
Epoch: [56][1900/14090]	Time 0.742 (0.753)	Data 0.002 (0.004)	Loss 2.1797 (2.1529)	Prec@1 40.625 (45.483)	Prec@5 75.000 (75.984)
Epoch: [56][1910/14090]	Time 0.724 (0.753)	Data 0.001 (0.004)	Loss 1.9923 (2.1533)	Prec@1 48.438 (45.476)	Prec@5 79.688 (75.975)
Epoch: [56][1920/14090]	Time 0.752 (0.753)	Data 0.001 (0.004)	Loss 2.0913 (2.1534)	Prec@1 46.875 (45.476)	Prec@5 78.125 (75.974)
Epoch: [56][1930/14090]	Time 0.758 (0.753)	Data 0.001 (0.004)	Loss 1.9525 (2.1535)	Prec@1 49.219 (45.474)	Prec@5 77.344 (75.977)
Epoch: [56][1940/14090]	Time 0.750 (0.753)	Data 0.001 (0.004)	Loss 2.2566 (2.1533)	Prec@1 44.531 (45.475)	Prec@5 73.438 (75.978)
Epoch: [56][1950/14090]	Time 0.768 (0.753)	Data 0.001 (0.004)	Loss 2.3317 (2.1532)	Prec@1 42.188 (45.481)	Prec@5 69.531 (75.973)
Epoch: [56][1960/14090]	Time 0.749 (0.753)	Data 0.001 (0.004)	Loss 1.8905 (2.1534)	Prec@1 51.562 (45.483)	Prec@5 78.906 (75.970)
Epoch: [56][1970/14090]	Time 0.736 (0.753)	Data 0.002 (0.004)	Loss 2.0287 (2.1535)	Prec@1 47.656 (45.473)	Prec@5 78.906 (75.966)
Epoch: [56][1980/14090]	Time 0.746 (0.753)	Data 0.001 (0.004)	Loss 2.1169 (2.1535)	Prec@1 41.406 (45.467)	Prec@5 73.438 (75.965)
Epoch: [56][1990/14090]	Time 0.757 (0.753)	Data 0.001 (0.004)	Loss 2.1310 (2.1538)	Prec@1 46.094 (45.455)	Prec@5 75.781 (75.959)
Epoch: [56][2000/14090]	Time 0.734 (0.753)	Data 0.001 (0.004)	Loss 2.0016 (2.1536)	Prec@1 50.781 (45.462)	Prec@5 81.250 (75.972)
Epoch: [56][2010/14090]	Time 0.730 (0.753)	Data 0.001 (0.004)	Loss 2.0560 (2.1536)	Prec@1 49.219 (45.465)	Prec@5 82.031 (75.975)
Epoch: [56][2020/14090]	Time 0.749 (0.753)	Data 0.001 (0.004)	Loss 2.2567 (2.1532)	Prec@1 42.969 (45.474)	Prec@5 71.094 (75.976)
Epoch: [56][2030/14090]	Time 0.749 (0.753)	Data 0.001 (0.004)	Loss 2.1171 (2.1534)	Prec@1 45.312 (45.465)	Prec@5 78.125 (75.979)
Epoch: [56][2040/14090]	Time 0.789 (0.753)	Data 0.002 (0.004)	Loss 1.8105 (2.1536)	Prec@1 53.125 (45.466)	Prec@5 85.156 (75.973)
Epoch: [56][2050/14090]	Time 0.756 (0.753)	Data 0.001 (0.004)	Loss 2.2157 (2.1536)	Prec@1 41.406 (45.462)	Prec@5 75.781 (75.975)
Epoch: [56][2060/14090]	Time 0.765 (0.753)	Data 0.001 (0.004)	Loss 2.0476 (2.1537)	Prec@1 50.000 (45.462)	Prec@5 77.344 (75.970)
Epoch: [56][2070/14090]	Time 0.766 (0.753)	Data 0.001 (0.004)	Loss 1.9073 (2.1536)	Prec@1 55.469 (45.468)	Prec@5 81.250 (75.972)
Epoch: [56][2080/14090]	Time 0.736 (0.753)	Data 0.001 (0.004)	Loss 2.0700 (2.1536)	Prec@1 46.875 (45.477)	Prec@5 75.781 (75.972)
Epoch: [56][2090/14090]	Time 0.729 (0.753)	Data 0.001 (0.004)	Loss 2.2784 (2.1539)	Prec@1 39.844 (45.463)	Prec@5 76.562 (75.968)
Epoch: [56][2100/14090]	Time 0.754 (0.753)	Data 0.001 (0.004)	Loss 1.9479 (2.1537)	Prec@1 50.781 (45.462)	Prec@5 81.250 (75.970)
Epoch: [56][2110/14090]	Time 0.746 (0.753)	Data 0.002 (0.004)	Loss 1.9870 (2.1533)	Prec@1 49.219 (45.473)	Prec@5 78.906 (75.977)
Epoch: [56][2120/14090]	Time 0.752 (0.753)	Data 0.001 (0.004)	Loss 2.0224 (2.1529)	Prec@1 50.000 (45.480)	Prec@5 78.906 (75.986)
Epoch: [56][2130/14090]	Time 0.761 (0.753)	Data 0.001 (0.004)	Loss 2.1273 (2.1529)	Prec@1 48.438 (45.482)	Prec@5 80.469 (75.987)
Epoch: [56][2140/14090]	Time 0.754 (0.753)	Data 0.001 (0.004)	Loss 1.9816 (2.1534)	Prec@1 47.656 (45.476)	Prec@5 78.906 (75.977)
Epoch: [56][2150/14090]	Time 0.760 (0.753)	Data 0.002 (0.004)	Loss 2.4004 (2.1536)	Prec@1 39.844 (45.462)	Prec@5 71.094 (75.979)
Epoch: [56][2160/14090]	Time 0.733 (0.753)	Data 0.001 (0.004)	Loss 2.1099 (2.1536)	Prec@1 45.312 (45.461)	Prec@5 77.344 (75.982)
Epoch: [56][2170/14090]	Time 0.750 (0.753)	Data 0.001 (0.004)	Loss 2.5138 (2.1536)	Prec@1 39.844 (45.469)	Prec@5 66.406 (75.982)
Epoch: [56][2180/14090]	Time 0.747 (0.753)	Data 0.002 (0.004)	Loss 2.0868 (2.1538)	Prec@1 46.094 (45.473)	Prec@5 78.906 (75.980)
Epoch: [56][2190/14090]	Time 0.754 (0.752)	Data 0.001 (0.004)	Loss 2.0592 (2.1543)	Prec@1 47.656 (45.465)	Prec@5 76.562 (75.969)
Epoch: [56][2200/14090]	Time 0.743 (0.752)	Data 0.001 (0.003)	Loss 2.0320 (2.1545)	Prec@1 49.219 (45.464)	Prec@5 78.906 (75.963)
Epoch: [56][2210/14090]	Time 0.745 (0.752)	Data 0.001 (0.003)	Loss 2.1562 (2.1546)	Prec@1 47.656 (45.452)	Prec@5 75.781 (75.966)
Epoch: [56][2220/14090]	Time 0.744 (0.752)	Data 0.001 (0.003)	Loss 2.2226 (2.1546)	Prec@1 47.656 (45.455)	Prec@5 76.562 (75.968)
Epoch: [56][2230/14090]	Time 0.742 (0.752)	Data 0.001 (0.003)	Loss 2.3969 (2.1546)	Prec@1 42.188 (45.460)	Prec@5 71.094 (75.968)
Epoch: [56][2240/14090]	Time 0.764 (0.752)	Data 0.001 (0.003)	Loss 1.9348 (2.1549)	Prec@1 51.562 (45.457)	Prec@5 76.562 (75.959)
Epoch: [56][2250/14090]	Time 0.746 (0.752)	Data 0.002 (0.003)	Loss 1.8059 (2.1550)	Prec@1 47.656 (45.450)	Prec@5 85.156 (75.958)
Epoch: [56][2260/14090]	Time 0.733 (0.752)	Data 0.001 (0.003)	Loss 2.1191 (2.1553)	Prec@1 48.438 (45.442)	Prec@5 75.781 (75.957)
Epoch: [56][2270/14090]	Time 0.767 (0.752)	Data 0.001 (0.003)	Loss 2.1194 (2.1555)	Prec@1 42.969 (45.441)	Prec@5 78.125 (75.948)
Epoch: [56][2280/14090]	Time 0.775 (0.752)	Data 0.001 (0.003)	Loss 2.0045 (2.1554)	Prec@1 49.219 (45.441)	Prec@5 75.781 (75.953)
Epoch: [56][2290/14090]	Time 0.791 (0.752)	Data 0.001 (0.003)	Loss 2.3353 (2.1557)	Prec@1 42.969 (45.435)	Prec@5 73.438 (75.944)
Epoch: [56][2300/14090]	Time 0.743 (0.752)	Data 0.001 (0.003)	Loss 2.4096 (2.1562)	Prec@1 36.719 (45.428)	Prec@5 69.531 (75.938)
Epoch: [56][2310/14090]	Time 0.758 (0.752)	Data 0.001 (0.003)	Loss 2.2407 (2.1558)	Prec@1 40.625 (45.429)	Prec@5 75.000 (75.948)
Epoch: [56][2320/14090]	Time 0.740 (0.752)	Data 0.002 (0.003)	Loss 1.9222 (2.1557)	Prec@1 53.125 (45.441)	Prec@5 81.250 (75.946)
Epoch: [56][2330/14090]	Time 0.746 (0.752)	Data 0.001 (0.003)	Loss 2.1470 (2.1555)	Prec@1 45.312 (45.445)	Prec@5 77.344 (75.954)
Epoch: [56][2340/14090]	Time 0.768 (0.752)	Data 0.001 (0.003)	Loss 2.0544 (2.1552)	Prec@1 54.688 (45.451)	Prec@5 75.000 (75.954)
Epoch: [56][2350/14090]	Time 0.751 (0.752)	Data 0.001 (0.003)	Loss 2.1912 (2.1551)	Prec@1 45.312 (45.452)	Prec@5 76.562 (75.959)
Epoch: [56][2360/14090]	Time 0.757 (0.752)	Data 0.001 (0.003)	Loss 2.1566 (2.1553)	Prec@1 48.438 (45.445)	Prec@5 74.219 (75.961)
Epoch: [56][2370/14090]	Time 0.756 (0.752)	Data 0.001 (0.003)	Loss 1.5914 (2.1551)	Prec@1 57.031 (45.442)	Prec@5 85.938 (75.961)
Epoch: [56][2380/14090]	Time 0.736 (0.752)	Data 0.001 (0.003)	Loss 2.1828 (2.1551)	Prec@1 34.375 (45.438)	Prec@5 74.219 (75.958)
Epoch: [56][2390/14090]	Time 0.738 (0.752)	Data 0.002 (0.003)	Loss 2.3581 (2.1547)	Prec@1 42.969 (45.447)	Prec@5 75.000 (75.967)
Epoch: [56][2400/14090]	Time 0.764 (0.752)	Data 0.001 (0.003)	Loss 2.1995 (2.1547)	Prec@1 41.406 (45.440)	Prec@5 74.219 (75.962)
Epoch: [56][2410/14090]	Time 0.734 (0.752)	Data 0.001 (0.003)	Loss 2.3065 (2.1547)	Prec@1 41.406 (45.440)	Prec@5 74.219 (75.958)
Epoch: [56][2420/14090]	Time 0.749 (0.752)	Data 0.001 (0.003)	Loss 2.3012 (2.1550)	Prec@1 44.531 (45.429)	Prec@5 71.094 (75.957)
Epoch: [56][2430/14090]	Time 0.778 (0.752)	Data 0.001 (0.003)	Loss 1.9946 (2.1551)	Prec@1 50.781 (45.425)	Prec@5 77.344 (75.960)
Epoch: [56][2440/14090]	Time 0.741 (0.752)	Data 0.001 (0.003)	Loss 2.2050 (2.1546)	Prec@1 43.750 (45.432)	Prec@5 72.656 (75.969)
Epoch: [56][2450/14090]	Time 0.726 (0.752)	Data 0.001 (0.003)	Loss 2.0181 (2.1546)	Prec@1 46.094 (45.426)	Prec@5 74.219 (75.966)
Epoch: [56][2460/14090]	Time 0.778 (0.752)	Data 0.002 (0.003)	Loss 2.3368 (2.1549)	Prec@1 46.094 (45.423)	Prec@5 74.219 (75.960)
Epoch: [56][2470/14090]	Time 0.745 (0.752)	Data 0.001 (0.003)	Loss 2.0119 (2.1551)	Prec@1 51.562 (45.424)	Prec@5 76.562 (75.952)
Epoch: [56][2480/14090]	Time 0.751 (0.752)	Data 0.001 (0.003)	Loss 1.9082 (2.1547)	Prec@1 50.781 (45.430)	Prec@5 78.906 (75.964)
Epoch: [56][2490/14090]	Time 0.734 (0.752)	Data 0.001 (0.003)	Loss 2.1433 (2.1552)	Prec@1 45.312 (45.420)	Prec@5 75.000 (75.952)
Epoch: [56][2500/14090]	Time 0.743 (0.752)	Data 0.001 (0.003)	Loss 2.2951 (2.1553)	Prec@1 44.531 (45.420)	Prec@5 71.875 (75.946)
Epoch: [56][2510/14090]	Time 0.769 (0.752)	Data 0.001 (0.003)	Loss 2.2816 (2.1551)	Prec@1 44.531 (45.416)	Prec@5 73.438 (75.948)
Epoch: [56][2520/14090]	Time 0.766 (0.752)	Data 0.001 (0.003)	Loss 2.2340 (2.1554)	Prec@1 46.875 (45.414)	Prec@5 76.562 (75.946)
Epoch: [56][2530/14090]	Time 0.749 (0.752)	Data 0.002 (0.003)	Loss 2.3419 (2.1556)	Prec@1 43.750 (45.417)	Prec@5 70.312 (75.943)
Epoch: [56][2540/14090]	Time 0.768 (0.752)	Data 0.001 (0.003)	Loss 2.0953 (2.1558)	Prec@1 46.094 (45.408)	Prec@5 80.469 (75.943)
Epoch: [56][2550/14090]	Time 0.748 (0.752)	Data 0.001 (0.003)	Loss 1.9972 (2.1555)	Prec@1 48.438 (45.414)	Prec@5 78.906 (75.951)
Epoch: [56][2560/14090]	Time 0.760 (0.752)	Data 0.001 (0.003)	Loss 2.1499 (2.1555)	Prec@1 43.750 (45.419)	Prec@5 76.562 (75.949)
Epoch: [56][2570/14090]	Time 0.741 (0.752)	Data 0.001 (0.003)	Loss 2.2122 (2.1557)	Prec@1 45.312 (45.409)	Prec@5 74.219 (75.944)
Epoch: [56][2580/14090]	Time 0.719 (0.752)	Data 0.001 (0.003)	Loss 2.0525 (2.1558)	Prec@1 46.875 (45.407)	Prec@5 75.781 (75.936)
Epoch: [56][2590/14090]	Time 0.747 (0.752)	Data 0.001 (0.003)	Loss 2.2768 (2.1559)	Prec@1 45.312 (45.404)	Prec@5 76.562 (75.937)
Epoch: [56][2600/14090]	Time 0.730 (0.752)	Data 0.002 (0.003)	Loss 2.4055 (2.1557)	Prec@1 42.188 (45.411)	Prec@5 69.531 (75.943)
Epoch: [56][2610/14090]	Time 0.783 (0.752)	Data 0.001 (0.003)	Loss 1.9335 (2.1552)	Prec@1 45.312 (45.421)	Prec@5 79.688 (75.952)
Epoch: [56][2620/14090]	Time 0.769 (0.752)	Data 0.001 (0.003)	Loss 2.4547 (2.1553)	Prec@1 37.500 (45.421)	Prec@5 71.875 (75.949)
Epoch: [56][2630/14090]	Time 0.736 (0.752)	Data 0.001 (0.003)	Loss 2.3505 (2.1553)	Prec@1 42.188 (45.418)	Prec@5 74.219 (75.956)
Epoch: [56][2640/14090]	Time 0.773 (0.752)	Data 0.001 (0.003)	Loss 2.3683 (2.1556)	Prec@1 44.531 (45.412)	Prec@5 72.656 (75.949)
Epoch: [56][2650/14090]	Time 0.733 (0.752)	Data 0.001 (0.003)	Loss 2.1246 (2.1555)	Prec@1 47.656 (45.420)	Prec@5 78.906 (75.950)
Epoch: [56][2660/14090]	Time 0.775 (0.752)	Data 0.001 (0.003)	Loss 2.3686 (2.1554)	Prec@1 39.844 (45.423)	Prec@5 73.438 (75.952)
Epoch: [56][2670/14090]	Time 0.757 (0.752)	Data 0.002 (0.003)	Loss 2.2632 (2.1552)	Prec@1 42.969 (45.429)	Prec@5 71.875 (75.958)
Epoch: [56][2680/14090]	Time 0.754 (0.752)	Data 0.001 (0.003)	Loss 1.9796 (2.1548)	Prec@1 43.750 (45.435)	Prec@5 80.469 (75.970)
Epoch: [56][2690/14090]	Time 0.752 (0.752)	Data 0.001 (0.003)	Loss 2.1583 (2.1550)	Prec@1 48.438 (45.433)	Prec@5 71.875 (75.961)
Epoch: [56][2700/14090]	Time 0.745 (0.752)	Data 0.001 (0.003)	Loss 2.1507 (2.1551)	Prec@1 42.188 (45.426)	Prec@5 75.000 (75.960)
Epoch: [56][2710/14090]	Time 0.758 (0.752)	Data 0.001 (0.003)	Loss 1.8387 (2.1553)	Prec@1 53.906 (45.418)	Prec@5 82.031 (75.957)
Epoch: [56][2720/14090]	Time 0.764 (0.752)	Data 0.001 (0.003)	Loss 2.3546 (2.1558)	Prec@1 43.750 (45.413)	Prec@5 68.750 (75.947)
Epoch: [56][2730/14090]	Time 0.757 (0.752)	Data 0.001 (0.003)	Loss 1.9966 (2.1558)	Prec@1 52.344 (45.413)	Prec@5 77.344 (75.949)
Epoch: [56][2740/14090]	Time 0.744 (0.752)	Data 0.002 (0.003)	Loss 2.1650 (2.1557)	Prec@1 46.875 (45.409)	Prec@5 76.562 (75.948)
Epoch: [56][2750/14090]	Time 0.763 (0.752)	Data 0.001 (0.003)	Loss 2.0589 (2.1557)	Prec@1 50.781 (45.411)	Prec@5 75.000 (75.951)
Epoch: [56][2760/14090]	Time 0.726 (0.752)	Data 0.001 (0.003)	Loss 2.2388 (2.1560)	Prec@1 39.062 (45.404)	Prec@5 72.656 (75.949)
Epoch: [56][2770/14090]	Time 0.750 (0.752)	Data 0.001 (0.003)	Loss 2.2563 (2.1561)	Prec@1 40.625 (45.405)	Prec@5 76.562 (75.949)
Epoch: [56][2780/14090]	Time 0.730 (0.752)	Data 0.001 (0.003)	Loss 2.0503 (2.1561)	Prec@1 46.094 (45.401)	Prec@5 75.000 (75.947)
Epoch: [56][2790/14090]	Time 0.730 (0.752)	Data 0.001 (0.003)	Loss 2.0710 (2.1560)	Prec@1 50.781 (45.409)	Prec@5 78.125 (75.946)
Epoch: [56][2800/14090]	Time 0.759 (0.752)	Data 0.001 (0.003)	Loss 2.0578 (2.1561)	Prec@1 50.000 (45.407)	Prec@5 78.125 (75.939)
Epoch: [56][2810/14090]	Time 0.726 (0.752)	Data 0.002 (0.003)	Loss 2.3774 (2.1563)	Prec@1 37.500 (45.406)	Prec@5 75.000 (75.939)
Epoch: [56][2820/14090]	Time 0.758 (0.752)	Data 0.001 (0.003)	Loss 1.8448 (2.1562)	Prec@1 57.812 (45.405)	Prec@5 81.250 (75.944)
Epoch: [56][2830/14090]	Time 0.752 (0.752)	Data 0.001 (0.003)	Loss 2.0409 (2.1563)	Prec@1 47.656 (45.400)	Prec@5 80.469 (75.941)
Epoch: [56][2840/14090]	Time 0.756 (0.752)	Data 0.001 (0.003)	Loss 2.3335 (2.1564)	Prec@1 35.938 (45.397)	Prec@5 73.438 (75.941)
Epoch: [56][2850/14090]	Time 0.741 (0.752)	Data 0.001 (0.003)	Loss 2.2545 (2.1564)	Prec@1 39.844 (45.396)	Prec@5 72.656 (75.945)
Epoch: [56][2860/14090]	Time 0.750 (0.752)	Data 0.001 (0.003)	Loss 2.0712 (2.1565)	Prec@1 49.219 (45.394)	Prec@5 77.344 (75.942)
Epoch: [56][2870/14090]	Time 0.769 (0.752)	Data 0.001 (0.003)	Loss 2.0640 (2.1566)	Prec@1 47.656 (45.387)	Prec@5 78.125 (75.936)
Epoch: [56][2880/14090]	Time 0.769 (0.752)	Data 0.002 (0.003)	Loss 2.2117 (2.1566)	Prec@1 51.562 (45.389)	Prec@5 78.125 (75.938)
Epoch: [56][2890/14090]	Time 0.753 (0.752)	Data 0.001 (0.003)	Loss 2.1163 (2.1564)	Prec@1 42.969 (45.391)	Prec@5 75.781 (75.941)
Epoch: [56][2900/14090]	Time 0.747 (0.752)	Data 0.001 (0.003)	Loss 2.1338 (2.1565)	Prec@1 42.969 (45.389)	Prec@5 75.781 (75.940)
Epoch: [56][2910/14090]	Time 0.741 (0.752)	Data 0.001 (0.003)	Loss 1.9270 (2.1564)	Prec@1 48.438 (45.389)	Prec@5 81.250 (75.939)
Epoch: [56][2920/14090]	Time 0.718 (0.752)	Data 0.001 (0.003)	Loss 2.2718 (2.1564)	Prec@1 34.375 (45.388)	Prec@5 73.438 (75.936)
Epoch: [56][2930/14090]	Time 0.732 (0.752)	Data 0.001 (0.003)	Loss 2.3177 (2.1566)	Prec@1 43.750 (45.384)	Prec@5 75.000 (75.933)
Epoch: [56][2940/14090]	Time 0.753 (0.752)	Data 0.001 (0.003)	Loss 2.1181 (2.1567)	Prec@1 42.969 (45.388)	Prec@5 76.562 (75.935)
Epoch: [56][2950/14090]	Time 0.754 (0.752)	Data 0.004 (0.003)	Loss 1.9140 (2.1567)	Prec@1 57.031 (45.391)	Prec@5 75.781 (75.931)
Epoch: [56][2960/14090]	Time 0.746 (0.752)	Data 0.001 (0.003)	Loss 2.1213 (2.1569)	Prec@1 46.875 (45.388)	Prec@5 77.344 (75.930)
Epoch: [56][2970/14090]	Time 0.737 (0.752)	Data 0.001 (0.003)	Loss 2.1135 (2.1570)	Prec@1 45.312 (45.385)	Prec@5 73.438 (75.931)
Epoch: [56][2980/14090]	Time 0.756 (0.752)	Data 0.001 (0.003)	Loss 2.2408 (2.1569)	Prec@1 45.312 (45.385)	Prec@5 75.781 (75.938)
Epoch: [56][2990/14090]	Time 0.771 (0.752)	Data 0.001 (0.003)	Loss 2.5093 (2.1570)	Prec@1 39.062 (45.385)	Prec@5 66.406 (75.937)
Epoch: [56][3000/14090]	Time 0.757 (0.752)	Data 0.001 (0.003)	Loss 2.2355 (2.1569)	Prec@1 43.750 (45.385)	Prec@5 72.656 (75.938)
Epoch: [56][3010/14090]	Time 0.739 (0.752)	Data 0.001 (0.003)	Loss 2.2185 (2.1573)	Prec@1 45.312 (45.376)	Prec@5 74.219 (75.932)
Epoch: [56][3020/14090]	Time 0.740 (0.752)	Data 0.002 (0.003)	Loss 2.0342 (2.1571)	Prec@1 51.562 (45.381)	Prec@5 81.250 (75.938)
Epoch: [56][3030/14090]	Time 0.746 (0.752)	Data 0.001 (0.003)	Loss 2.1692 (2.1570)	Prec@1 43.750 (45.380)	Prec@5 73.438 (75.942)
Epoch: [56][3040/14090]	Time 0.765 (0.752)	Data 0.001 (0.003)	Loss 2.2392 (2.1573)	Prec@1 39.844 (45.368)	Prec@5 78.906 (75.939)
Epoch: [56][3050/14090]	Time 0.741 (0.752)	Data 0.005 (0.003)	Loss 2.0390 (2.1572)	Prec@1 43.750 (45.370)	Prec@5 78.906 (75.936)
Epoch: [56][3060/14090]	Time 0.749 (0.752)	Data 0.001 (0.003)	Loss 2.0813 (2.1573)	Prec@1 47.656 (45.369)	Prec@5 76.562 (75.933)
Epoch: [56][3070/14090]	Time 0.747 (0.752)	Data 0.001 (0.003)	Loss 2.1508 (2.1575)	Prec@1 44.531 (45.364)	Prec@5 77.344 (75.931)
Epoch: [56][3080/14090]	Time 0.758 (0.752)	Data 0.001 (0.003)	Loss 1.9023 (2.1574)	Prec@1 51.562 (45.367)	Prec@5 79.688 (75.931)
Epoch: [56][3090/14090]	Time 0.746 (0.752)	Data 0.002 (0.003)	Loss 2.1554 (2.1574)	Prec@1 43.750 (45.368)	Prec@5 80.469 (75.933)
Epoch: [56][3100/14090]	Time 0.743 (0.752)	Data 0.001 (0.003)	Loss 2.0212 (2.1574)	Prec@1 51.562 (45.367)	Prec@5 82.031 (75.935)
Epoch: [56][3110/14090]	Time 0.753 (0.752)	Data 0.001 (0.003)	Loss 2.4530 (2.1575)	Prec@1 46.875 (45.366)	Prec@5 69.531 (75.937)
Epoch: [56][3120/14090]	Time 0.750 (0.752)	Data 0.001 (0.003)	Loss 2.1682 (2.1575)	Prec@1 42.969 (45.363)	Prec@5 73.438 (75.936)
Epoch: [56][3130/14090]	Time 0.741 (0.752)	Data 0.001 (0.003)	Loss 2.1105 (2.1573)	Prec@1 47.656 (45.361)	Prec@5 77.344 (75.946)
Epoch: [56][3140/14090]	Time 0.747 (0.752)	Data 0.001 (0.003)	Loss 2.2360 (2.1572)	Prec@1 41.406 (45.361)	Prec@5 79.688 (75.948)
Epoch: [56][3150/14090]	Time 0.750 (0.752)	Data 0.001 (0.003)	Loss 1.8898 (2.1575)	Prec@1 49.219 (45.357)	Prec@5 78.906 (75.944)
Epoch: [56][3160/14090]	Time 0.758 (0.752)	Data 0.002 (0.003)	Loss 2.4598 (2.1578)	Prec@1 41.406 (45.357)	Prec@5 70.312 (75.941)
Epoch: [56][3170/14090]	Time 0.800 (0.752)	Data 0.001 (0.003)	Loss 2.0470 (2.1576)	Prec@1 44.531 (45.359)	Prec@5 81.250 (75.947)
Epoch: [56][3180/14090]	Time 0.747 (0.752)	Data 0.001 (0.003)	Loss 1.9949 (2.1575)	Prec@1 46.094 (45.358)	Prec@5 78.125 (75.950)
Epoch: [56][3190/14090]	Time 0.726 (0.752)	Data 0.001 (0.003)	Loss 2.2276 (2.1573)	Prec@1 40.625 (45.359)	Prec@5 75.781 (75.955)
Epoch: [56][3200/14090]	Time 0.743 (0.752)	Data 0.001 (0.003)	Loss 2.4074 (2.1574)	Prec@1 44.531 (45.360)	Prec@5 72.656 (75.949)
Epoch: [56][3210/14090]	Time 0.727 (0.752)	Data 0.001 (0.003)	Loss 2.2284 (2.1575)	Prec@1 44.531 (45.356)	Prec@5 75.000 (75.950)
Epoch: [56][3220/14090]	Time 0.730 (0.752)	Data 0.001 (0.003)	Loss 2.1243 (2.1576)	Prec@1 45.312 (45.350)	Prec@5 77.344 (75.948)
Epoch: [56][3230/14090]	Time 0.752 (0.752)	Data 0.002 (0.003)	Loss 2.3627 (2.1576)	Prec@1 45.312 (45.349)	Prec@5 73.438 (75.946)
Epoch: [56][3240/14090]	Time 0.784 (0.752)	Data 0.001 (0.003)	Loss 2.4564 (2.1579)	Prec@1 35.156 (45.339)	Prec@5 74.219 (75.939)
Epoch: [56][3250/14090]	Time 0.761 (0.752)	Data 0.001 (0.003)	Loss 2.1251 (2.1581)	Prec@1 49.219 (45.339)	Prec@5 80.469 (75.937)
Epoch: [56][3260/14090]	Time 0.757 (0.752)	Data 0.001 (0.003)	Loss 2.2531 (2.1581)	Prec@1 35.938 (45.335)	Prec@5 81.250 (75.938)
Epoch: [56][3270/14090]	Time 0.739 (0.752)	Data 0.001 (0.003)	Loss 2.1072 (2.1582)	Prec@1 50.781 (45.331)	Prec@5 76.562 (75.939)
Epoch: [56][3280/14090]	Time 0.764 (0.752)	Data 0.001 (0.003)	Loss 2.1450 (2.1579)	Prec@1 50.781 (45.335)	Prec@5 77.344 (75.943)
Epoch: [56][3290/14090]	Time 0.737 (0.752)	Data 0.001 (0.003)	Loss 1.8878 (2.1576)	Prec@1 49.219 (45.341)	Prec@5 82.031 (75.950)
Epoch: [56][3300/14090]	Time 0.734 (0.752)	Data 0.002 (0.003)	Loss 1.9944 (2.1577)	Prec@1 46.875 (45.339)	Prec@5 77.344 (75.945)
Epoch: [56][3310/14090]	Time 0.747 (0.752)	Data 0.001 (0.003)	Loss 2.0015 (2.1578)	Prec@1 51.562 (45.343)	Prec@5 78.125 (75.945)
Epoch: [56][3320/14090]	Time 0.752 (0.752)	Data 0.001 (0.003)	Loss 1.9297 (2.1574)	Prec@1 49.219 (45.348)	Prec@5 78.906 (75.952)
Epoch: [56][3330/14090]	Time 0.764 (0.752)	Data 0.001 (0.003)	Loss 2.0279 (2.1572)	Prec@1 54.688 (45.350)	Prec@5 79.688 (75.961)
Epoch: [56][3340/14090]	Time 0.743 (0.752)	Data 0.001 (0.003)	Loss 1.8683 (2.1571)	Prec@1 57.812 (45.352)	Prec@5 81.250 (75.966)
Epoch: [56][3350/14090]	Time 0.739 (0.752)	Data 0.001 (0.003)	Loss 1.9577 (2.1569)	Prec@1 50.000 (45.355)	Prec@5 75.000 (75.971)
Epoch: [56][3360/14090]	Time 0.760 (0.752)	Data 0.001 (0.003)	Loss 2.1040 (2.1570)	Prec@1 44.531 (45.352)	Prec@5 77.344 (75.969)
Epoch: [56][3370/14090]	Time 0.742 (0.752)	Data 0.002 (0.003)	Loss 2.2185 (2.1569)	Prec@1 42.969 (45.356)	Prec@5 71.875 (75.969)
Epoch: [56][3380/14090]	Time 0.724 (0.752)	Data 0.001 (0.003)	Loss 2.3064 (2.1570)	Prec@1 43.750 (45.357)	Prec@5 75.000 (75.971)
Epoch: [56][3390/14090]	Time 0.786 (0.752)	Data 0.001 (0.003)	Loss 2.2541 (2.1571)	Prec@1 37.500 (45.348)	Prec@5 74.219 (75.968)
Epoch: [56][3400/14090]	Time 0.725 (0.752)	Data 0.001 (0.003)	Loss 2.2941 (2.1572)	Prec@1 40.625 (45.347)	Prec@5 72.656 (75.964)
Epoch: [56][3410/14090]	Time 0.737 (0.752)	Data 0.001 (0.003)	Loss 2.3139 (2.1572)	Prec@1 44.531 (45.348)	Prec@5 75.781 (75.964)
Epoch: [56][3420/14090]	Time 0.733 (0.752)	Data 0.001 (0.003)	Loss 2.0885 (2.1570)	Prec@1 49.219 (45.355)	Prec@5 78.906 (75.968)
Epoch: [56][3430/14090]	Time 0.765 (0.752)	Data 0.001 (0.003)	Loss 2.3113 (2.1571)	Prec@1 41.406 (45.354)	Prec@5 74.219 (75.965)
Epoch: [56][3440/14090]	Time 0.755 (0.752)	Data 0.002 (0.003)	Loss 2.2095 (2.1572)	Prec@1 42.969 (45.356)	Prec@5 71.875 (75.963)
Epoch: [56][3450/14090]	Time 0.744 (0.752)	Data 0.001 (0.003)	Loss 2.3309 (2.1575)	Prec@1 37.500 (45.351)	Prec@5 75.000 (75.957)
Epoch: [56][3460/14090]	Time 0.751 (0.752)	Data 0.002 (0.003)	Loss 1.9136 (2.1576)	Prec@1 50.000 (45.351)	Prec@5 79.688 (75.951)
Epoch: [56][3470/14090]	Time 0.744 (0.752)	Data 0.001 (0.003)	Loss 2.0715 (2.1577)	Prec@1 47.656 (45.344)	Prec@5 79.688 (75.951)
Epoch: [56][3480/14090]	Time 0.756 (0.752)	Data 0.001 (0.003)	Loss 2.2944 (2.1577)	Prec@1 39.844 (45.340)	Prec@5 71.094 (75.950)
Epoch: [56][3490/14090]	Time 0.734 (0.752)	Data 0.001 (0.003)	Loss 2.3007 (2.1577)	Prec@1 39.844 (45.343)	Prec@5 76.562 (75.949)
Epoch: [56][3500/14090]	Time 0.764 (0.752)	Data 0.001 (0.003)	Loss 2.1555 (2.1578)	Prec@1 41.406 (45.342)	Prec@5 77.344 (75.949)
Epoch: [56][3510/14090]	Time 0.738 (0.752)	Data 0.002 (0.003)	Loss 2.0259 (2.1575)	Prec@1 46.094 (45.345)	Prec@5 78.906 (75.953)
Epoch: [56][3520/14090]	Time 0.743 (0.752)	Data 0.001 (0.003)	Loss 2.2795 (2.1576)	Prec@1 42.969 (45.340)	Prec@5 71.094 (75.952)
Epoch: [56][3530/14090]	Time 0.755 (0.752)	Data 0.001 (0.003)	Loss 2.2675 (2.1577)	Prec@1 43.750 (45.340)	Prec@5 74.219 (75.953)
Epoch: [56][3540/14090]	Time 0.768 (0.752)	Data 0.001 (0.003)	Loss 2.1819 (2.1577)	Prec@1 46.094 (45.341)	Prec@5 79.688 (75.955)
Epoch: [56][3550/14090]	Time 0.759 (0.752)	Data 0.001 (0.003)	Loss 2.2346 (2.1578)	Prec@1 42.969 (45.339)	Prec@5 72.656 (75.954)
Epoch: [56][3560/14090]	Time 0.742 (0.752)	Data 0.001 (0.003)	Loss 2.2286 (2.1578)	Prec@1 47.656 (45.340)	Prec@5 74.219 (75.955)
Epoch: [56][3570/14090]	Time 0.747 (0.752)	Data 0.001 (0.003)	Loss 2.2094 (2.1580)	Prec@1 43.750 (45.334)	Prec@5 73.438 (75.953)
Epoch: [56][3580/14090]	Time 0.770 (0.752)	Data 0.002 (0.003)	Loss 1.9737 (2.1579)	Prec@1 47.656 (45.335)	Prec@5 80.469 (75.955)
Epoch: [56][3590/14090]	Time 0.735 (0.752)	Data 0.001 (0.003)	Loss 2.1951 (2.1583)	Prec@1 43.750 (45.326)	Prec@5 77.344 (75.947)
Epoch: [56][3600/14090]	Time 0.748 (0.752)	Data 0.001 (0.003)	Loss 2.1614 (2.1582)	Prec@1 45.312 (45.329)	Prec@5 74.219 (75.949)
Epoch: [56][3610/14090]	Time 0.739 (0.752)	Data 0.001 (0.003)	Loss 2.4063 (2.1582)	Prec@1 37.500 (45.326)	Prec@5 72.656 (75.952)
Epoch: [56][3620/14090]	Time 0.773 (0.752)	Data 0.001 (0.003)	Loss 2.2088 (2.1584)	Prec@1 42.188 (45.323)	Prec@5 73.438 (75.950)
Epoch: [56][3630/14090]	Time 0.744 (0.752)	Data 0.001 (0.003)	Loss 2.3326 (2.1584)	Prec@1 43.750 (45.324)	Prec@5 72.656 (75.950)
Epoch: [56][3640/14090]	Time 0.761 (0.752)	Data 0.001 (0.002)	Loss 2.0284 (2.1586)	Prec@1 50.000 (45.322)	Prec@5 75.781 (75.947)
Epoch: [56][3650/14090]	Time 0.773 (0.752)	Data 0.002 (0.002)	Loss 2.0131 (2.1586)	Prec@1 46.875 (45.325)	Prec@5 80.469 (75.949)
Epoch: [56][3660/14090]	Time 0.739 (0.752)	Data 0.001 (0.002)	Loss 2.0583 (2.1587)	Prec@1 49.219 (45.327)	Prec@5 79.688 (75.951)
Epoch: [56][3670/14090]	Time 0.747 (0.752)	Data 0.001 (0.002)	Loss 2.1104 (2.1588)	Prec@1 46.094 (45.326)	Prec@5 73.438 (75.948)
Epoch: [56][3680/14090]	Time 0.734 (0.752)	Data 0.002 (0.002)	Loss 1.9070 (2.1591)	Prec@1 50.000 (45.321)	Prec@5 78.125 (75.945)
Epoch: [56][3690/14090]	Time 0.749 (0.752)	Data 0.001 (0.002)	Loss 2.1206 (2.1588)	Prec@1 51.562 (45.329)	Prec@5 77.344 (75.950)
Epoch: [56][3700/14090]	Time 0.746 (0.752)	Data 0.001 (0.002)	Loss 2.1522 (2.1587)	Prec@1 44.531 (45.335)	Prec@5 76.562 (75.950)
Epoch: [56][3710/14090]	Time 0.753 (0.752)	Data 0.001 (0.002)	Loss 2.0606 (2.1589)	Prec@1 47.656 (45.333)	Prec@5 80.469 (75.949)
Epoch: [56][3720/14090]	Time 0.731 (0.752)	Data 0.002 (0.002)	Loss 1.8924 (2.1590)	Prec@1 47.656 (45.329)	Prec@5 82.812 (75.947)
Epoch: [56][3730/14090]	Time 0.746 (0.752)	Data 0.001 (0.002)	Loss 2.1539 (2.1588)	Prec@1 44.531 (45.334)	Prec@5 77.344 (75.951)
Epoch: [56][3740/14090]	Time 0.734 (0.752)	Data 0.001 (0.002)	Loss 2.0643 (2.1589)	Prec@1 47.656 (45.331)	Prec@5 79.688 (75.951)
Epoch: [56][3750/14090]	Time 0.768 (0.752)	Data 0.001 (0.002)	Loss 2.0068 (2.1590)	Prec@1 45.312 (45.329)	Prec@5 80.469 (75.950)
Epoch: [56][3760/14090]	Time 0.733 (0.752)	Data 0.001 (0.002)	Loss 2.1439 (2.1590)	Prec@1 42.188 (45.328)	Prec@5 78.906 (75.951)
Epoch: [56][3770/14090]	Time 0.725 (0.752)	Data 0.001 (0.002)	Loss 1.9575 (2.1588)	Prec@1 49.219 (45.332)	Prec@5 79.688 (75.954)
Epoch: [56][3780/14090]	Time 0.736 (0.752)	Data 0.001 (0.002)	Loss 2.2205 (2.1587)	Prec@1 46.094 (45.333)	Prec@5 76.562 (75.958)
Epoch: [56][3790/14090]	Time 0.728 (0.752)	Data 0.003 (0.002)	Loss 2.3384 (2.1589)	Prec@1 40.625 (45.330)	Prec@5 74.219 (75.953)
Epoch: [56][3800/14090]	Time 0.750 (0.752)	Data 0.001 (0.002)	Loss 2.0942 (2.1590)	Prec@1 44.531 (45.328)	Prec@5 75.000 (75.951)
Epoch: [56][3810/14090]	Time 0.760 (0.752)	Data 0.001 (0.002)	Loss 2.3057 (2.1589)	Prec@1 39.062 (45.328)	Prec@5 73.438 (75.953)
Epoch: [56][3820/14090]	Time 0.760 (0.752)	Data 0.001 (0.002)	Loss 2.2976 (2.1590)	Prec@1 36.719 (45.330)	Prec@5 71.875 (75.952)
Epoch: [56][3830/14090]	Time 0.774 (0.752)	Data 0.001 (0.002)	Loss 2.4000 (2.1591)	Prec@1 39.844 (45.328)	Prec@5 70.312 (75.949)
Epoch: [56][3840/14090]	Time 0.736 (0.752)	Data 0.001 (0.002)	Loss 2.3549 (2.1592)	Prec@1 41.406 (45.326)	Prec@5 72.656 (75.947)
Epoch: [56][3850/14090]	Time 0.726 (0.752)	Data 0.001 (0.002)	Loss 2.3349 (2.1595)	Prec@1 44.531 (45.319)	Prec@5 69.531 (75.941)
Epoch: [56][3860/14090]	Time 0.741 (0.752)	Data 0.002 (0.002)	Loss 1.9987 (2.1595)	Prec@1 46.875 (45.322)	Prec@5 75.000 (75.938)
Epoch: [56][3870/14090]	Time 0.748 (0.752)	Data 0.001 (0.002)	Loss 2.2506 (2.1595)	Prec@1 39.844 (45.322)	Prec@5 75.000 (75.938)
Epoch: [56][3880/14090]	Time 0.737 (0.752)	Data 0.001 (0.002)	Loss 2.4654 (2.1595)	Prec@1 35.938 (45.320)	Prec@5 68.750 (75.938)
Epoch: [56][3890/14090]	Time 0.756 (0.752)	Data 0.001 (0.002)	Loss 2.1021 (2.1598)	Prec@1 52.344 (45.315)	Prec@5 77.344 (75.934)
Epoch: [56][3900/14090]	Time 0.740 (0.752)	Data 0.001 (0.002)	Loss 2.2413 (2.1598)	Prec@1 43.750 (45.314)	Prec@5 74.219 (75.933)
Epoch: [56][3910/14090]	Time 0.765 (0.752)	Data 0.001 (0.002)	Loss 2.2738 (2.1597)	Prec@1 41.406 (45.315)	Prec@5 68.750 (75.933)
Epoch: [56][3920/14090]	Time 0.753 (0.752)	Data 0.002 (0.002)	Loss 2.0825 (2.1598)	Prec@1 48.438 (45.313)	Prec@5 75.000 (75.929)
Epoch: [56][3930/14090]	Time 0.748 (0.752)	Data 0.002 (0.002)	Loss 2.2118 (2.1596)	Prec@1 46.094 (45.320)	Prec@5 71.875 (75.932)
Epoch: [56][3940/14090]	Time 0.757 (0.752)	Data 0.001 (0.002)	Loss 2.4149 (2.1596)	Prec@1 39.844 (45.322)	Prec@5 70.312 (75.932)
Epoch: [56][3950/14090]	Time 0.745 (0.752)	Data 0.001 (0.002)	Loss 2.0995 (2.1596)	Prec@1 42.969 (45.317)	Prec@5 78.906 (75.932)
Epoch: [56][3960/14090]	Time 0.737 (0.752)	Data 0.001 (0.002)	Loss 2.1281 (2.1597)	Prec@1 45.312 (45.313)	Prec@5 77.344 (75.927)
Epoch: [56][3970/14090]	Time 0.741 (0.752)	Data 0.001 (0.002)	Loss 1.8516 (2.1597)	Prec@1 56.250 (45.314)	Prec@5 80.469 (75.928)
Epoch: [56][3980/14090]	Time 0.730 (0.752)	Data 0.001 (0.002)	Loss 2.3676 (2.1598)	Prec@1 38.281 (45.312)	Prec@5 68.750 (75.925)
Epoch: [56][3990/14090]	Time 0.773 (0.752)	Data 0.001 (0.002)	Loss 2.1772 (2.1598)	Prec@1 41.406 (45.311)	Prec@5 76.562 (75.927)
Epoch: [56][4000/14090]	Time 0.757 (0.752)	Data 0.002 (0.002)	Loss 2.3416 (2.1600)	Prec@1 42.188 (45.308)	Prec@5 72.656 (75.922)
Epoch: [56][4010/14090]	Time 0.727 (0.752)	Data 0.001 (0.002)	Loss 2.0254 (2.1600)	Prec@1 49.219 (45.308)	Prec@5 80.469 (75.920)
Epoch: [56][4020/14090]	Time 0.748 (0.752)	Data 0.001 (0.002)	Loss 1.8593 (2.1601)	Prec@1 51.562 (45.303)	Prec@5 77.344 (75.918)
Epoch: [56][4030/14090]	Time 0.758 (0.752)	Data 0.001 (0.002)	Loss 2.0429 (2.1603)	Prec@1 53.125 (45.300)	Prec@5 81.250 (75.915)
Epoch: [56][4040/14090]	Time 0.752 (0.752)	Data 0.001 (0.002)	Loss 2.0956 (2.1606)	Prec@1 51.562 (45.297)	Prec@5 75.781 (75.908)
Epoch: [56][4050/14090]	Time 0.751 (0.752)	Data 0.001 (0.002)	Loss 2.1785 (2.1605)	Prec@1 52.344 (45.305)	Prec@5 78.125 (75.910)
Epoch: [56][4060/14090]	Time 0.755 (0.752)	Data 0.001 (0.002)	Loss 2.1678 (2.1605)	Prec@1 50.000 (45.306)	Prec@5 74.219 (75.910)
Epoch: [56][4070/14090]	Time 0.754 (0.752)	Data 0.002 (0.002)	Loss 2.1371 (2.1603)	Prec@1 43.750 (45.316)	Prec@5 77.344 (75.912)
Epoch: [56][4080/14090]	Time 0.756 (0.752)	Data 0.001 (0.002)	Loss 2.1757 (2.1605)	Prec@1 46.875 (45.313)	Prec@5 78.906 (75.912)
Epoch: [56][4090/14090]	Time 0.766 (0.752)	Data 0.001 (0.002)	Loss 2.3102 (2.1606)	Prec@1 44.531 (45.310)	Prec@5 73.438 (75.910)
Epoch: [56][4100/14090]	Time 0.754 (0.752)	Data 0.001 (0.002)	Loss 1.9690 (2.1606)	Prec@1 50.000 (45.310)	Prec@5 79.688 (75.911)
Epoch: [56][4110/14090]	Time 0.760 (0.752)	Data 0.001 (0.002)	Loss 2.4831 (2.1607)	Prec@1 37.500 (45.309)	Prec@5 71.094 (75.910)
Epoch: [56][4120/14090]	Time 0.730 (0.752)	Data 0.001 (0.002)	Loss 2.0541 (2.1608)	Prec@1 48.438 (45.313)	Prec@5 75.781 (75.907)
Epoch: [56][4130/14090]	Time 0.727 (0.752)	Data 0.001 (0.002)	Loss 2.1634 (2.1608)	Prec@1 50.781 (45.317)	Prec@5 74.219 (75.906)
Epoch: [56][4140/14090]	Time 0.729 (0.752)	Data 0.002 (0.002)	Loss 2.0724 (2.1607)	Prec@1 50.781 (45.319)	Prec@5 75.781 (75.907)
Epoch: [56][4150/14090]	Time 0.759 (0.752)	Data 0.001 (0.002)	Loss 2.2070 (2.1607)	Prec@1 41.406 (45.318)	Prec@5 78.125 (75.911)
Epoch: [56][4160/14090]	Time 0.742 (0.752)	Data 0.001 (0.002)	Loss 2.1408 (2.1606)	Prec@1 41.406 (45.320)	Prec@5 78.906 (75.915)
Epoch: [56][4170/14090]	Time 0.746 (0.752)	Data 0.001 (0.002)	Loss 1.8788 (2.1607)	Prec@1 47.656 (45.322)	Prec@5 84.375 (75.912)
Epoch: [56][4180/14090]	Time 0.749 (0.752)	Data 0.001 (0.002)	Loss 2.2438 (2.1606)	Prec@1 38.281 (45.324)	Prec@5 76.562 (75.915)
Epoch: [56][4190/14090]	Time 0.762 (0.752)	Data 0.001 (0.002)	Loss 2.1353 (2.1606)	Prec@1 50.000 (45.322)	Prec@5 78.125 (75.916)
Epoch: [56][4200/14090]	Time 0.759 (0.752)	Data 0.001 (0.002)	Loss 2.4919 (2.1606)	Prec@1 35.938 (45.322)	Prec@5 69.531 (75.916)
Epoch: [56][4210/14090]	Time 0.744 (0.752)	Data 0.002 (0.002)	Loss 2.0438 (2.1606)	Prec@1 44.531 (45.322)	Prec@5 77.344 (75.914)
Epoch: [56][4220/14090]	Time 0.740 (0.752)	Data 0.001 (0.002)	Loss 1.9962 (2.1604)	Prec@1 46.875 (45.327)	Prec@5 80.469 (75.917)
Epoch: [56][4230/14090]	Time 0.728 (0.752)	Data 0.001 (0.002)	Loss 2.2944 (2.1605)	Prec@1 42.969 (45.325)	Prec@5 73.438 (75.916)
Epoch: [56][4240/14090]	Time 0.756 (0.752)	Data 0.001 (0.002)	Loss 1.9088 (2.1605)	Prec@1 48.438 (45.326)	Prec@5 85.156 (75.916)
Epoch: [56][4250/14090]	Time 0.728 (0.752)	Data 0.001 (0.002)	Loss 2.0781 (2.1606)	Prec@1 43.750 (45.321)	Prec@5 78.125 (75.914)
Epoch: [56][4260/14090]	Time 0.750 (0.752)	Data 0.001 (0.002)	Loss 2.0115 (2.1607)	Prec@1 48.438 (45.318)	Prec@5 72.656 (75.910)
Epoch: [56][4270/14090]	Time 0.759 (0.752)	Data 0.001 (0.002)	Loss 2.1038 (2.1609)	Prec@1 50.781 (45.318)	Prec@5 75.781 (75.908)
Epoch: [56][4280/14090]	Time 0.759 (0.752)	Data 0.002 (0.002)	Loss 1.8133 (2.1609)	Prec@1 46.875 (45.317)	Prec@5 82.031 (75.910)
Epoch: [56][4290/14090]	Time 0.728 (0.752)	Data 0.001 (0.002)	Loss 2.0520 (2.1607)	Prec@1 46.875 (45.320)	Prec@5 82.812 (75.911)
Epoch: [56][4300/14090]	Time 0.750 (0.752)	Data 0.001 (0.002)	Loss 2.3208 (2.1608)	Prec@1 39.844 (45.317)	Prec@5 71.875 (75.911)
Epoch: [56][4310/14090]	Time 0.751 (0.752)	Data 0.001 (0.002)	Loss 2.3551 (2.1609)	Prec@1 40.625 (45.312)	Prec@5 74.219 (75.909)
Epoch: [56][4320/14090]	Time 0.760 (0.752)	Data 0.001 (0.002)	Loss 2.4486 (2.1610)	Prec@1 39.844 (45.310)	Prec@5 71.875 (75.908)
Epoch: [56][4330/14090]	Time 0.739 (0.752)	Data 0.001 (0.002)	Loss 2.3975 (2.1611)	Prec@1 37.500 (45.305)	Prec@5 71.875 (75.907)
Epoch: [56][4340/14090]	Time 0.739 (0.752)	Data 0.001 (0.002)	Loss 2.2912 (2.1612)	Prec@1 39.844 (45.303)	Prec@5 67.969 (75.905)
Epoch: [56][4350/14090]	Time 0.745 (0.752)	Data 0.002 (0.002)	Loss 2.1490 (2.1611)	Prec@1 48.438 (45.307)	Prec@5 80.469 (75.905)
Epoch: [56][4360/14090]	Time 0.764 (0.752)	Data 0.001 (0.002)	Loss 2.0718 (2.1610)	Prec@1 39.844 (45.307)	Prec@5 79.688 (75.906)
Epoch: [56][4370/14090]	Time 0.741 (0.752)	Data 0.001 (0.002)	Loss 2.0447 (2.1608)	Prec@1 46.094 (45.309)	Prec@5 78.906 (75.907)
Epoch: [56][4380/14090]	Time 0.756 (0.752)	Data 0.001 (0.002)	Loss 2.3390 (2.1609)	Prec@1 41.406 (45.310)	Prec@5 75.000 (75.907)
Epoch: [56][4390/14090]	Time 0.764 (0.752)	Data 0.001 (0.002)	Loss 2.0786 (2.1609)	Prec@1 45.312 (45.305)	Prec@5 77.344 (75.909)
Epoch: [56][4400/14090]	Time 0.763 (0.752)	Data 0.001 (0.002)	Loss 2.2025 (2.1608)	Prec@1 39.844 (45.308)	Prec@5 71.875 (75.909)
Epoch: [56][4410/14090]	Time 0.740 (0.752)	Data 0.001 (0.002)	Loss 2.3411 (2.1608)	Prec@1 44.531 (45.307)	Prec@5 72.656 (75.909)
Epoch: [56][4420/14090]	Time 0.735 (0.752)	Data 0.002 (0.002)	Loss 2.2596 (2.1609)	Prec@1 48.438 (45.308)	Prec@5 75.000 (75.910)
Epoch: [56][4430/14090]	Time 0.758 (0.752)	Data 0.001 (0.002)	Loss 2.4436 (2.1612)	Prec@1 39.062 (45.303)	Prec@5 73.438 (75.907)
Epoch: [56][4440/14090]	Time 0.755 (0.752)	Data 0.001 (0.002)	Loss 2.1463 (2.1612)	Prec@1 42.969 (45.309)	Prec@5 77.344 (75.908)
Epoch: [56][4450/14090]	Time 0.747 (0.752)	Data 0.001 (0.002)	Loss 2.1683 (2.1612)	Prec@1 44.531 (45.309)	Prec@5 74.219 (75.907)
Epoch: [56][4460/14090]	Time 0.755 (0.752)	Data 0.001 (0.002)	Loss 2.2172 (2.1613)	Prec@1 42.188 (45.306)	Prec@5 73.438 (75.907)
Epoch: [56][4470/14090]	Time 0.740 (0.752)	Data 0.001 (0.002)	Loss 2.0777 (2.1613)	Prec@1 46.094 (45.305)	Prec@5 75.000 (75.905)
Epoch: [56][4480/14090]	Time 0.754 (0.752)	Data 0.001 (0.002)	Loss 1.8702 (2.1610)	Prec@1 54.688 (45.312)	Prec@5 79.688 (75.907)
Epoch: [56][4490/14090]	Time 0.769 (0.752)	Data 0.002 (0.002)	Loss 1.8847 (2.1611)	Prec@1 49.219 (45.313)	Prec@5 77.344 (75.905)
Epoch: [56][4500/14090]	Time 0.740 (0.752)	Data 0.001 (0.002)	Loss 2.1811 (2.1612)	Prec@1 47.656 (45.311)	Prec@5 73.438 (75.906)
Epoch: [56][4510/14090]	Time 0.728 (0.752)	Data 0.001 (0.002)	Loss 2.3231 (2.1612)	Prec@1 40.625 (45.312)	Prec@5 72.656 (75.905)
Epoch: [56][4520/14090]	Time 0.762 (0.752)	Data 0.001 (0.002)	Loss 2.2354 (2.1611)	Prec@1 46.875 (45.314)	Prec@5 69.531 (75.906)
Epoch: [56][4530/14090]	Time 0.721 (0.752)	Data 0.001 (0.002)	Loss 2.1297 (2.1611)	Prec@1 47.656 (45.312)	Prec@5 75.000 (75.905)
Epoch: [56][4540/14090]	Time 0.769 (0.752)	Data 0.001 (0.002)	Loss 2.1543 (2.1611)	Prec@1 49.219 (45.314)	Prec@5 71.875 (75.904)
Epoch: [56][4550/14090]	Time 0.782 (0.752)	Data 0.001 (0.002)	Loss 2.2124 (2.1613)	Prec@1 49.219 (45.310)	Prec@5 74.219 (75.901)
Epoch: [56][4560/14090]	Time 0.738 (0.752)	Data 0.002 (0.002)	Loss 2.3263 (2.1613)	Prec@1 35.156 (45.304)	Prec@5 72.656 (75.899)
Epoch: [56][4570/14090]	Time 0.758 (0.752)	Data 0.001 (0.002)	Loss 2.2810 (2.1613)	Prec@1 42.969 (45.305)	Prec@5 74.219 (75.898)
Epoch: [56][4580/14090]	Time 0.732 (0.752)	Data 0.001 (0.002)	Loss 2.0054 (2.1614)	Prec@1 47.656 (45.301)	Prec@5 76.562 (75.893)
Epoch: [56][4590/14090]	Time 0.755 (0.752)	Data 0.001 (0.002)	Loss 2.1912 (2.1615)	Prec@1 47.656 (45.300)	Prec@5 71.094 (75.891)
Epoch: [56][4600/14090]	Time 0.774 (0.752)	Data 0.001 (0.002)	Loss 1.9420 (2.1614)	Prec@1 48.438 (45.303)	Prec@5 78.125 (75.892)
Epoch: [56][4610/14090]	Time 0.754 (0.752)	Data 0.001 (0.002)	Loss 2.0865 (2.1613)	Prec@1 49.219 (45.305)	Prec@5 77.344 (75.897)
Epoch: [56][4620/14090]	Time 0.739 (0.752)	Data 0.001 (0.002)	Loss 2.0994 (2.1613)	Prec@1 53.906 (45.305)	Prec@5 71.875 (75.895)
Epoch: [56][4630/14090]	Time 0.747 (0.752)	Data 0.002 (0.002)	Loss 2.2121 (2.1612)	Prec@1 42.969 (45.309)	Prec@5 76.562 (75.897)
Epoch: [56][4640/14090]	Time 0.764 (0.752)	Data 0.001 (0.002)	Loss 2.1253 (2.1613)	Prec@1 43.750 (45.305)	Prec@5 75.000 (75.896)
Epoch: [56][4650/14090]	Time 0.754 (0.752)	Data 0.001 (0.002)	Loss 1.9072 (2.1612)	Prec@1 50.000 (45.308)	Prec@5 76.562 (75.896)
Epoch: [56][4660/14090]	Time 0.753 (0.752)	Data 0.001 (0.002)	Loss 1.8246 (2.1611)	Prec@1 52.344 (45.310)	Prec@5 80.469 (75.897)
Epoch: [56][4670/14090]	Time 0.734 (0.752)	Data 0.001 (0.002)	Loss 2.1529 (2.1611)	Prec@1 46.094 (45.310)	Prec@5 75.781 (75.897)
Epoch: [56][4680/14090]	Time 0.760 (0.752)	Data 0.001 (0.002)	Loss 1.9716 (2.1610)	Prec@1 46.875 (45.314)	Prec@5 78.906 (75.900)
Epoch: [56][4690/14090]	Time 0.751 (0.752)	Data 0.001 (0.002)	Loss 2.0831 (2.1610)	Prec@1 48.438 (45.309)	Prec@5 73.438 (75.900)
Epoch: [56][4700/14090]	Time 0.752 (0.752)	Data 0.002 (0.002)	Loss 2.2371 (2.1611)	Prec@1 47.656 (45.307)	Prec@5 75.000 (75.897)
Epoch: [56][4710/14090]	Time 0.760 (0.752)	Data 0.001 (0.002)	Loss 2.1056 (2.1613)	Prec@1 45.312 (45.303)	Prec@5 74.219 (75.889)
Epoch: [56][4720/14090]	Time 0.753 (0.752)	Data 0.001 (0.002)	Loss 2.2198 (2.1613)	Prec@1 49.219 (45.302)	Prec@5 75.781 (75.889)
Epoch: [56][4730/14090]	Time 0.751 (0.752)	Data 0.001 (0.002)	Loss 2.0955 (2.1612)	Prec@1 46.875 (45.305)	Prec@5 80.469 (75.891)
Epoch: [56][4740/14090]	Time 0.747 (0.752)	Data 0.001 (0.002)	Loss 2.3622 (2.1613)	Prec@1 48.438 (45.300)	Prec@5 72.656 (75.889)
Epoch: [56][4750/14090]	Time 0.781 (0.752)	Data 0.001 (0.002)	Loss 2.1817 (2.1614)	Prec@1 41.406 (45.296)	Prec@5 76.562 (75.887)
Epoch: [56][4760/14090]	Time 0.735 (0.752)	Data 0.001 (0.002)	Loss 2.3608 (2.1615)	Prec@1 44.531 (45.295)	Prec@5 70.312 (75.886)
Epoch: [56][4770/14090]	Time 0.751 (0.752)	Data 0.002 (0.002)	Loss 2.3274 (2.1614)	Prec@1 42.188 (45.295)	Prec@5 71.875 (75.888)
Epoch: [56][4780/14090]	Time 0.747 (0.752)	Data 0.001 (0.002)	Loss 2.0294 (2.1614)	Prec@1 41.406 (45.291)	Prec@5 82.812 (75.890)
Epoch: [56][4790/14090]	Time 0.777 (0.752)	Data 0.001 (0.002)	Loss 2.2149 (2.1614)	Prec@1 44.531 (45.293)	Prec@5 71.875 (75.889)
Epoch: [56][4800/14090]	Time 0.750 (0.752)	Data 0.003 (0.002)	Loss 2.1896 (2.1616)	Prec@1 44.531 (45.291)	Prec@5 74.219 (75.885)
Epoch: [56][4810/14090]	Time 0.760 (0.752)	Data 0.001 (0.002)	Loss 2.1363 (2.1617)	Prec@1 47.656 (45.290)	Prec@5 78.125 (75.882)
Epoch: [56][4820/14090]	Time 0.756 (0.752)	Data 0.001 (0.002)	Loss 2.0761 (2.1617)	Prec@1 51.562 (45.289)	Prec@5 77.344 (75.883)
Epoch: [56][4830/14090]	Time 0.757 (0.752)	Data 0.001 (0.002)	Loss 1.9787 (2.1618)	Prec@1 50.781 (45.293)	Prec@5 74.219 (75.882)
Epoch: [56][4840/14090]	Time 0.771 (0.752)	Data 0.002 (0.002)	Loss 2.3172 (2.1619)	Prec@1 37.500 (45.291)	Prec@5 73.438 (75.879)
Epoch: [56][4850/14090]	Time 0.753 (0.752)	Data 0.001 (0.002)	Loss 2.0187 (2.1620)	Prec@1 46.875 (45.289)	Prec@5 75.781 (75.877)
Epoch: [56][4860/14090]	Time 0.733 (0.752)	Data 0.001 (0.002)	Loss 2.0117 (2.1619)	Prec@1 51.562 (45.293)	Prec@5 79.688 (75.878)
Epoch: [56][4870/14090]	Time 0.759 (0.752)	Data 0.001 (0.002)	Loss 1.9802 (2.1618)	Prec@1 46.094 (45.295)	Prec@5 83.594 (75.881)
Epoch: [56][4880/14090]	Time 0.752 (0.752)	Data 0.001 (0.002)	Loss 2.0086 (2.1617)	Prec@1 46.875 (45.297)	Prec@5 71.875 (75.881)
Epoch: [56][4890/14090]	Time 0.751 (0.752)	Data 0.001 (0.002)	Loss 2.2328 (2.1616)	Prec@1 45.312 (45.297)	Prec@5 76.562 (75.883)
Epoch: [56][4900/14090]	Time 0.749 (0.752)	Data 0.001 (0.002)	Loss 2.3936 (2.1617)	Prec@1 35.938 (45.295)	Prec@5 67.188 (75.881)
Epoch: [56][4910/14090]	Time 0.762 (0.752)	Data 0.002 (0.002)	Loss 2.2804 (2.1617)	Prec@1 42.969 (45.295)	Prec@5 75.781 (75.881)
Epoch: [56][4920/14090]	Time 0.729 (0.752)	Data 0.001 (0.002)	Loss 2.1927 (2.1617)	Prec@1 41.406 (45.294)	Prec@5 75.781 (75.879)
Epoch: [56][4930/14090]	Time 0.756 (0.752)	Data 0.001 (0.002)	Loss 1.9363 (2.1616)	Prec@1 55.469 (45.295)	Prec@5 79.688 (75.880)
Epoch: [56][4940/14090]	Time 0.743 (0.752)	Data 0.001 (0.002)	Loss 2.3790 (2.1616)	Prec@1 42.188 (45.294)	Prec@5 68.750 (75.883)
Epoch: [56][4950/14090]	Time 0.742 (0.752)	Data 0.001 (0.002)	Loss 2.0164 (2.1614)	Prec@1 42.969 (45.297)	Prec@5 83.594 (75.890)
Epoch: [56][4960/14090]	Time 0.731 (0.752)	Data 0.001 (0.002)	Loss 2.3223 (2.1616)	Prec@1 41.406 (45.291)	Prec@5 71.094 (75.884)
Epoch: [56][4970/14090]	Time 0.742 (0.752)	Data 0.001 (0.002)	Loss 2.1776 (2.1616)	Prec@1 48.438 (45.292)	Prec@5 73.438 (75.885)
Epoch: [56][4980/14090]	Time 0.760 (0.752)	Data 0.002 (0.002)	Loss 2.2770 (2.1616)	Prec@1 43.750 (45.294)	Prec@5 71.875 (75.882)
Epoch: [56][4990/14090]	Time 0.736 (0.752)	Data 0.001 (0.002)	Loss 2.2041 (2.1614)	Prec@1 45.312 (45.296)	Prec@5 75.781 (75.886)
Epoch: [56][5000/14090]	Time 0.724 (0.752)	Data 0.001 (0.002)	Loss 2.7262 (2.1616)	Prec@1 38.281 (45.294)	Prec@5 67.188 (75.885)
Epoch: [56][5010/14090]	Time 0.734 (0.752)	Data 0.001 (0.002)	Loss 2.1368 (2.1615)	Prec@1 47.656 (45.295)	Prec@5 77.344 (75.886)
Epoch: [56][5020/14090]	Time 0.745 (0.752)	Data 0.001 (0.002)	Loss 2.1342 (2.1615)	Prec@1 45.312 (45.298)	Prec@5 75.781 (75.885)
Epoch: [56][5030/14090]	Time 0.767 (0.752)	Data 0.001 (0.002)	Loss 2.1967 (2.1616)	Prec@1 42.969 (45.293)	Prec@5 75.781 (75.884)
Epoch: [56][5040/14090]	Time 0.729 (0.752)	Data 0.001 (0.002)	Loss 2.0881 (2.1616)	Prec@1 49.219 (45.294)	Prec@5 78.906 (75.888)
Epoch: [56][5050/14090]	Time 0.737 (0.752)	Data 0.002 (0.002)	Loss 1.9747 (2.1617)	Prec@1 48.438 (45.291)	Prec@5 78.906 (75.885)
Epoch: [56][5060/14090]	Time 0.754 (0.752)	Data 0.001 (0.002)	Loss 2.0797 (2.1617)	Prec@1 48.438 (45.292)	Prec@5 71.094 (75.883)
Epoch: [56][5070/14090]	Time 0.738 (0.752)	Data 0.001 (0.002)	Loss 1.7784 (2.1616)	Prec@1 52.344 (45.293)	Prec@5 83.594 (75.884)
Epoch: [56][5080/14090]	Time 0.731 (0.752)	Data 0.001 (0.002)	Loss 2.1771 (2.1615)	Prec@1 39.062 (45.291)	Prec@5 74.219 (75.885)
Epoch: [56][5090/14090]	Time 0.759 (0.752)	Data 0.001 (0.002)	Loss 2.0695 (2.1616)	Prec@1 46.875 (45.291)	Prec@5 78.125 (75.886)
Epoch: [56][5100/14090]	Time 0.720 (0.752)	Data 0.001 (0.002)	Loss 2.2649 (2.1613)	Prec@1 42.969 (45.295)	Prec@5 73.438 (75.891)
Epoch: [56][5110/14090]	Time 0.762 (0.752)	Data 0.001 (0.002)	Loss 2.1181 (2.1612)	Prec@1 46.094 (45.301)	Prec@5 78.125 (75.891)
Epoch: [56][5120/14090]	Time 0.748 (0.752)	Data 0.002 (0.002)	Loss 1.9799 (2.1611)	Prec@1 52.344 (45.304)	Prec@5 80.469 (75.894)
Epoch: [56][5130/14090]	Time 0.758 (0.752)	Data 0.001 (0.002)	Loss 2.3181 (2.1611)	Prec@1 42.969 (45.304)	Prec@5 72.656 (75.894)
Epoch: [56][5140/14090]	Time 0.743 (0.752)	Data 0.001 (0.002)	Loss 2.2167 (2.1612)	Prec@1 45.312 (45.301)	Prec@5 72.656 (75.891)
Epoch: [56][5150/14090]	Time 0.765 (0.752)	Data 0.001 (0.002)	Loss 2.4901 (2.1612)	Prec@1 38.281 (45.299)	Prec@5 69.531 (75.888)
Epoch: [56][5160/14090]	Time 0.751 (0.752)	Data 0.001 (0.002)	Loss 2.0653 (2.1612)	Prec@1 48.438 (45.299)	Prec@5 78.125 (75.889)
Epoch: [56][5170/14090]	Time 0.733 (0.752)	Data 0.001 (0.002)	Loss 2.1551 (2.1612)	Prec@1 40.625 (45.301)	Prec@5 75.781 (75.888)
Epoch: [56][5180/14090]	Time 0.743 (0.752)	Data 0.001 (0.002)	Loss 2.0642 (2.1613)	Prec@1 51.562 (45.301)	Prec@5 80.469 (75.888)
Epoch: [56][5190/14090]	Time 0.754 (0.752)	Data 0.002 (0.002)	Loss 1.9500 (2.1613)	Prec@1 48.438 (45.304)	Prec@5 75.781 (75.888)
Epoch: [56][5200/14090]	Time 0.765 (0.751)	Data 0.001 (0.002)	Loss 2.0463 (2.1613)	Prec@1 52.344 (45.304)	Prec@5 79.688 (75.890)
Epoch: [56][5210/14090]	Time 0.760 (0.751)	Data 0.001 (0.002)	Loss 2.4185 (2.1612)	Prec@1 36.719 (45.307)	Prec@5 71.875 (75.888)
Epoch: [56][5220/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 2.1052 (2.1613)	Prec@1 50.000 (45.309)	Prec@5 78.906 (75.887)
Epoch: [56][5230/14090]	Time 0.778 (0.751)	Data 0.001 (0.002)	Loss 1.9291 (2.1613)	Prec@1 43.750 (45.309)	Prec@5 78.906 (75.888)
Epoch: [56][5240/14090]	Time 0.743 (0.751)	Data 0.001 (0.002)	Loss 2.2280 (2.1612)	Prec@1 42.188 (45.309)	Prec@5 75.781 (75.891)
Epoch: [56][5250/14090]	Time 0.728 (0.751)	Data 0.001 (0.002)	Loss 2.1611 (2.1614)	Prec@1 45.312 (45.306)	Prec@5 75.000 (75.889)
Epoch: [56][5260/14090]	Time 0.735 (0.751)	Data 0.002 (0.002)	Loss 2.0148 (2.1614)	Prec@1 47.656 (45.305)	Prec@5 77.344 (75.890)
Epoch: [56][5270/14090]	Time 0.756 (0.751)	Data 0.001 (0.002)	Loss 2.2203 (2.1613)	Prec@1 46.875 (45.303)	Prec@5 72.656 (75.893)
Epoch: [56][5280/14090]	Time 0.727 (0.751)	Data 0.001 (0.002)	Loss 2.4814 (2.1614)	Prec@1 42.969 (45.302)	Prec@5 70.312 (75.895)
Epoch: [56][5290/14090]	Time 0.776 (0.751)	Data 0.001 (0.002)	Loss 2.2783 (2.1614)	Prec@1 39.062 (45.298)	Prec@5 72.656 (75.894)
Epoch: [56][5300/14090]	Time 0.733 (0.751)	Data 0.001 (0.002)	Loss 2.1938 (2.1615)	Prec@1 42.969 (45.296)	Prec@5 74.219 (75.891)
Epoch: [56][5310/14090]	Time 0.761 (0.751)	Data 0.001 (0.002)	Loss 2.0892 (2.1614)	Prec@1 50.781 (45.299)	Prec@5 78.125 (75.894)
Epoch: [56][5320/14090]	Time 0.761 (0.751)	Data 0.001 (0.002)	Loss 2.2205 (2.1614)	Prec@1 42.969 (45.302)	Prec@5 71.094 (75.895)
Epoch: [56][5330/14090]	Time 0.729 (0.751)	Data 0.002 (0.002)	Loss 1.9032 (2.1613)	Prec@1 42.969 (45.300)	Prec@5 84.375 (75.894)
Epoch: [56][5340/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 1.9105 (2.1613)	Prec@1 53.906 (45.302)	Prec@5 79.688 (75.895)
Epoch: [56][5350/14090]	Time 0.759 (0.751)	Data 0.001 (0.002)	Loss 2.0863 (2.1613)	Prec@1 40.625 (45.305)	Prec@5 77.344 (75.895)
Epoch: [56][5360/14090]	Time 0.745 (0.751)	Data 0.001 (0.002)	Loss 2.4366 (2.1613)	Prec@1 44.531 (45.305)	Prec@5 72.656 (75.892)
Epoch: [56][5370/14090]	Time 0.741 (0.751)	Data 0.001 (0.002)	Loss 2.2902 (2.1613)	Prec@1 48.438 (45.307)	Prec@5 73.438 (75.893)
Epoch: [56][5380/14090]	Time 0.768 (0.751)	Data 0.001 (0.002)	Loss 2.1596 (2.1613)	Prec@1 44.531 (45.308)	Prec@5 77.344 (75.893)
Epoch: [56][5390/14090]	Time 0.773 (0.751)	Data 0.001 (0.002)	Loss 2.2268 (2.1614)	Prec@1 40.625 (45.305)	Prec@5 75.000 (75.893)
Epoch: [56][5400/14090]	Time 0.747 (0.751)	Data 0.002 (0.002)	Loss 2.2880 (2.1615)	Prec@1 35.938 (45.304)	Prec@5 75.781 (75.892)
Epoch: [56][5410/14090]	Time 0.744 (0.751)	Data 0.001 (0.002)	Loss 2.4625 (2.1615)	Prec@1 39.844 (45.304)	Prec@5 67.969 (75.892)
Epoch: [56][5420/14090]	Time 0.756 (0.751)	Data 0.001 (0.002)	Loss 2.4092 (2.1614)	Prec@1 37.500 (45.305)	Prec@5 73.438 (75.894)
Epoch: [56][5430/14090]	Time 0.748 (0.751)	Data 0.001 (0.002)	Loss 2.1731 (2.1616)	Prec@1 44.531 (45.304)	Prec@5 78.125 (75.891)
Epoch: [56][5440/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 2.3960 (2.1618)	Prec@1 40.625 (45.302)	Prec@5 71.094 (75.889)
Epoch: [56][5450/14090]	Time 0.743 (0.751)	Data 0.001 (0.002)	Loss 2.3092 (2.1618)	Prec@1 43.750 (45.301)	Prec@5 76.562 (75.890)
Epoch: [56][5460/14090]	Time 0.733 (0.751)	Data 0.001 (0.002)	Loss 2.1371 (2.1617)	Prec@1 48.438 (45.307)	Prec@5 77.344 (75.893)
Epoch: [56][5470/14090]	Time 0.760 (0.751)	Data 0.002 (0.002)	Loss 1.9471 (2.1616)	Prec@1 55.469 (45.312)	Prec@5 79.688 (75.893)
Epoch: [56][5480/14090]	Time 0.744 (0.751)	Data 0.003 (0.002)	Loss 1.9746 (2.1616)	Prec@1 49.219 (45.315)	Prec@5 80.469 (75.895)
Epoch: [56][5490/14090]	Time 0.762 (0.751)	Data 0.001 (0.002)	Loss 2.0212 (2.1616)	Prec@1 45.312 (45.315)	Prec@5 79.688 (75.894)
Epoch: [56][5500/14090]	Time 0.757 (0.751)	Data 0.001 (0.002)	Loss 2.2905 (2.1616)	Prec@1 45.312 (45.314)	Prec@5 71.094 (75.895)
Epoch: [56][5510/14090]	Time 0.751 (0.751)	Data 0.001 (0.002)	Loss 2.0360 (2.1616)	Prec@1 47.656 (45.315)	Prec@5 76.562 (75.893)
Epoch: [56][5520/14090]	Time 0.732 (0.751)	Data 0.001 (0.002)	Loss 2.0713 (2.1617)	Prec@1 46.094 (45.312)	Prec@5 77.344 (75.890)
Epoch: [56][5530/14090]	Time 0.752 (0.751)	Data 0.001 (0.002)	Loss 1.9569 (2.1618)	Prec@1 51.562 (45.311)	Prec@5 78.906 (75.891)
Epoch: [56][5540/14090]	Time 0.785 (0.751)	Data 0.002 (0.002)	Loss 2.0392 (2.1618)	Prec@1 49.219 (45.311)	Prec@5 75.000 (75.890)
Epoch: [56][5550/14090]	Time 0.735 (0.751)	Data 0.001 (0.002)	Loss 2.1132 (2.1618)	Prec@1 47.656 (45.310)	Prec@5 77.344 (75.891)
Epoch: [56][5560/14090]	Time 0.750 (0.751)	Data 0.001 (0.002)	Loss 2.2755 (2.1618)	Prec@1 41.406 (45.309)	Prec@5 75.781 (75.891)
Epoch: [56][5570/14090]	Time 0.748 (0.751)	Data 0.001 (0.002)	Loss 2.2422 (2.1616)	Prec@1 44.531 (45.313)	Prec@5 72.656 (75.896)
Epoch: [56][5580/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 2.1728 (2.1616)	Prec@1 39.844 (45.312)	Prec@5 71.094 (75.892)
Epoch: [56][5590/14090]	Time 0.762 (0.751)	Data 0.001 (0.002)	Loss 2.3232 (2.1615)	Prec@1 39.844 (45.312)	Prec@5 73.438 (75.891)
Epoch: [56][5600/14090]	Time 0.749 (0.751)	Data 0.001 (0.002)	Loss 2.3428 (2.1615)	Prec@1 42.969 (45.312)	Prec@5 71.875 (75.890)
Epoch: [56][5610/14090]	Time 0.742 (0.751)	Data 0.002 (0.002)	Loss 2.1839 (2.1615)	Prec@1 50.000 (45.314)	Prec@5 74.219 (75.893)
Epoch: [56][5620/14090]	Time 0.771 (0.751)	Data 0.001 (0.002)	Loss 2.2736 (2.1614)	Prec@1 42.969 (45.314)	Prec@5 79.688 (75.895)
Epoch: [56][5630/14090]	Time 0.758 (0.751)	Data 0.001 (0.002)	Loss 2.4407 (2.1614)	Prec@1 35.938 (45.312)	Prec@5 71.875 (75.897)
Epoch: [56][5640/14090]	Time 0.748 (0.751)	Data 0.001 (0.002)	Loss 2.0425 (2.1612)	Prec@1 46.875 (45.314)	Prec@5 78.906 (75.899)
Epoch: [56][5650/14090]	Time 0.774 (0.751)	Data 0.001 (0.002)	Loss 2.1748 (2.1613)	Prec@1 43.750 (45.310)	Prec@5 75.781 (75.897)
Epoch: [56][5660/14090]	Time 0.735 (0.751)	Data 0.001 (0.002)	Loss 1.9675 (2.1613)	Prec@1 43.750 (45.310)	Prec@5 78.906 (75.897)
Epoch: [56][5670/14090]	Time 0.758 (0.751)	Data 0.001 (0.002)	Loss 2.2941 (2.1613)	Prec@1 41.406 (45.309)	Prec@5 76.562 (75.896)
Epoch: [56][5680/14090]	Time 0.770 (0.751)	Data 0.002 (0.002)	Loss 2.2434 (2.1615)	Prec@1 42.969 (45.304)	Prec@5 79.688 (75.893)
Epoch: [56][5690/14090]	Time 0.733 (0.751)	Data 0.001 (0.002)	Loss 1.9933 (2.1616)	Prec@1 50.000 (45.302)	Prec@5 80.469 (75.891)
Epoch: [56][5700/14090]	Time 0.751 (0.751)	Data 0.001 (0.002)	Loss 2.1399 (2.1615)	Prec@1 42.188 (45.305)	Prec@5 79.688 (75.893)
Epoch: [56][5710/14090]	Time 0.763 (0.751)	Data 0.001 (0.002)	Loss 2.1781 (2.1615)	Prec@1 45.312 (45.303)	Prec@5 78.125 (75.894)
Epoch: [56][5720/14090]	Time 0.737 (0.751)	Data 0.001 (0.002)	Loss 1.9843 (2.1615)	Prec@1 47.656 (45.305)	Prec@5 82.031 (75.895)
Epoch: [56][5730/14090]	Time 0.782 (0.751)	Data 0.001 (0.002)	Loss 2.2820 (2.1616)	Prec@1 48.438 (45.303)	Prec@5 78.125 (75.893)
Epoch: [56][5740/14090]	Time 0.746 (0.751)	Data 0.001 (0.002)	Loss 2.2838 (2.1617)	Prec@1 40.625 (45.300)	Prec@5 74.219 (75.892)
Epoch: [56][5750/14090]	Time 0.764 (0.751)	Data 0.002 (0.002)	Loss 2.3849 (2.1615)	Prec@1 40.625 (45.304)	Prec@5 71.875 (75.896)
Epoch: [56][5760/14090]	Time 0.744 (0.751)	Data 0.001 (0.002)	Loss 2.3448 (2.1614)	Prec@1 36.719 (45.305)	Prec@5 72.656 (75.897)
Epoch: [56][5770/14090]	Time 0.742 (0.751)	Data 0.001 (0.002)	Loss 2.0933 (2.1612)	Prec@1 52.344 (45.309)	Prec@5 73.438 (75.897)
Epoch: [56][5780/14090]	Time 0.737 (0.751)	Data 0.001 (0.002)	Loss 2.0288 (2.1611)	Prec@1 48.438 (45.312)	Prec@5 78.125 (75.897)
Epoch: [56][5790/14090]	Time 0.746 (0.751)	Data 0.001 (0.002)	Loss 2.2364 (2.1611)	Prec@1 46.875 (45.313)	Prec@5 77.344 (75.897)
Epoch: [56][5800/14090]	Time 0.758 (0.751)	Data 0.001 (0.002)	Loss 2.1570 (2.1610)	Prec@1 46.875 (45.314)	Prec@5 74.219 (75.899)
Epoch: [56][5810/14090]	Time 0.746 (0.751)	Data 0.001 (0.002)	Loss 2.5486 (2.1610)	Prec@1 37.500 (45.315)	Prec@5 72.656 (75.901)
Epoch: [56][5820/14090]	Time 0.753 (0.751)	Data 0.002 (0.002)	Loss 1.8574 (2.1610)	Prec@1 48.438 (45.314)	Prec@5 78.906 (75.900)
Epoch: [56][5830/14090]	Time 0.738 (0.751)	Data 0.001 (0.002)	Loss 2.2785 (2.1611)	Prec@1 42.188 (45.310)	Prec@5 77.344 (75.901)
Epoch: [56][5840/14090]	Time 0.741 (0.751)	Data 0.001 (0.002)	Loss 2.3136 (2.1611)	Prec@1 45.312 (45.311)	Prec@5 74.219 (75.899)
Epoch: [56][5850/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 2.1089 (2.1611)	Prec@1 48.438 (45.314)	Prec@5 75.781 (75.900)
Epoch: [56][5860/14090]	Time 0.775 (0.751)	Data 0.001 (0.002)	Loss 2.2984 (2.1612)	Prec@1 46.094 (45.312)	Prec@5 70.312 (75.901)
Epoch: [56][5870/14090]	Time 0.756 (0.751)	Data 0.001 (0.002)	Loss 1.9898 (2.1611)	Prec@1 53.906 (45.315)	Prec@5 77.344 (75.903)
Epoch: [56][5880/14090]	Time 0.749 (0.751)	Data 0.001 (0.002)	Loss 2.0794 (2.1610)	Prec@1 43.750 (45.316)	Prec@5 75.781 (75.903)
Epoch: [56][5890/14090]	Time 0.773 (0.751)	Data 0.002 (0.002)	Loss 2.2787 (2.1611)	Prec@1 43.750 (45.317)	Prec@5 71.875 (75.901)
Epoch: [56][5900/14090]	Time 0.740 (0.751)	Data 0.001 (0.002)	Loss 2.1279 (2.1610)	Prec@1 43.750 (45.320)	Prec@5 75.000 (75.902)
Epoch: [56][5910/14090]	Time 0.737 (0.751)	Data 0.001 (0.002)	Loss 2.1519 (2.1611)	Prec@1 39.062 (45.319)	Prec@5 78.125 (75.902)
Epoch: [56][5920/14090]	Time 0.750 (0.751)	Data 0.001 (0.002)	Loss 2.1433 (2.1612)	Prec@1 44.531 (45.316)	Prec@5 76.562 (75.901)
Epoch: [56][5930/14090]	Time 0.761 (0.751)	Data 0.001 (0.002)	Loss 2.2080 (2.1612)	Prec@1 43.750 (45.317)	Prec@5 76.562 (75.900)
Epoch: [56][5940/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 2.1163 (2.1612)	Prec@1 39.844 (45.319)	Prec@5 76.562 (75.900)
Epoch: [56][5950/14090]	Time 0.749 (0.751)	Data 0.001 (0.002)	Loss 2.3217 (2.1612)	Prec@1 40.625 (45.318)	Prec@5 67.188 (75.899)
Epoch: [56][5960/14090]	Time 0.746 (0.751)	Data 0.001 (0.002)	Loss 2.1364 (2.1612)	Prec@1 46.875 (45.319)	Prec@5 78.906 (75.899)
Epoch: [56][5970/14090]	Time 0.742 (0.751)	Data 0.001 (0.002)	Loss 2.0420 (2.1613)	Prec@1 50.000 (45.317)	Prec@5 77.344 (75.897)
Epoch: [56][5980/14090]	Time 0.729 (0.751)	Data 0.001 (0.002)	Loss 2.4833 (2.1613)	Prec@1 41.406 (45.318)	Prec@5 73.438 (75.897)
Epoch: [56][5990/14090]	Time 0.738 (0.751)	Data 0.001 (0.002)	Loss 1.9887 (2.1612)	Prec@1 50.781 (45.321)	Prec@5 81.250 (75.898)
Epoch: [56][6000/14090]	Time 0.734 (0.751)	Data 0.001 (0.002)	Loss 2.4041 (2.1613)	Prec@1 37.500 (45.316)	Prec@5 70.312 (75.897)
Epoch: [56][6010/14090]	Time 0.752 (0.751)	Data 0.001 (0.002)	Loss 2.0812 (2.1613)	Prec@1 48.438 (45.316)	Prec@5 79.688 (75.897)
Epoch: [56][6020/14090]	Time 0.750 (0.751)	Data 0.001 (0.002)	Loss 2.4195 (2.1614)	Prec@1 38.281 (45.315)	Prec@5 67.188 (75.897)
Epoch: [56][6030/14090]	Time 0.749 (0.751)	Data 0.002 (0.002)	Loss 2.3762 (2.1615)	Prec@1 37.500 (45.315)	Prec@5 70.312 (75.895)
Epoch: [56][6040/14090]	Time 0.738 (0.751)	Data 0.001 (0.002)	Loss 1.8033 (2.1614)	Prec@1 50.000 (45.316)	Prec@5 81.250 (75.896)
Epoch: [56][6050/14090]	Time 0.758 (0.751)	Data 0.001 (0.002)	Loss 2.3979 (2.1615)	Prec@1 40.625 (45.314)	Prec@5 71.094 (75.895)
Epoch: [56][6060/14090]	Time 0.731 (0.751)	Data 0.001 (0.002)	Loss 1.9826 (2.1613)	Prec@1 51.562 (45.319)	Prec@5 80.469 (75.901)
Epoch: [56][6070/14090]	Time 0.745 (0.751)	Data 0.001 (0.002)	Loss 2.1973 (2.1613)	Prec@1 42.188 (45.319)	Prec@5 74.219 (75.902)
Epoch: [56][6080/14090]	Time 0.735 (0.751)	Data 0.001 (0.002)	Loss 2.4241 (2.1614)	Prec@1 43.750 (45.320)	Prec@5 70.312 (75.901)
Epoch: [56][6090/14090]	Time 0.743 (0.751)	Data 0.001 (0.002)	Loss 2.1577 (2.1613)	Prec@1 42.969 (45.320)	Prec@5 78.906 (75.902)
Epoch: [56][6100/14090]	Time 0.746 (0.751)	Data 0.002 (0.002)	Loss 2.2870 (2.1616)	Prec@1 48.438 (45.315)	Prec@5 74.219 (75.898)
Epoch: [56][6110/14090]	Time 0.767 (0.751)	Data 0.001 (0.002)	Loss 2.1796 (2.1615)	Prec@1 44.531 (45.317)	Prec@5 72.656 (75.898)
Epoch: [56][6120/14090]	Time 0.737 (0.751)	Data 0.001 (0.002)	Loss 2.2415 (2.1617)	Prec@1 43.750 (45.314)	Prec@5 70.312 (75.899)
Epoch: [56][6130/14090]	Time 0.745 (0.751)	Data 0.001 (0.002)	Loss 2.1954 (2.1618)	Prec@1 42.969 (45.310)	Prec@5 73.438 (75.898)
Epoch: [56][6140/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 2.2531 (2.1617)	Prec@1 46.094 (45.309)	Prec@5 76.562 (75.899)
Epoch: [56][6150/14090]	Time 0.737 (0.751)	Data 0.001 (0.002)	Loss 2.2211 (2.1619)	Prec@1 42.188 (45.305)	Prec@5 76.562 (75.894)
Epoch: [56][6160/14090]	Time 0.750 (0.751)	Data 0.001 (0.002)	Loss 2.1191 (2.1619)	Prec@1 50.000 (45.303)	Prec@5 72.656 (75.890)
Epoch: [56][6170/14090]	Time 0.772 (0.751)	Data 0.002 (0.002)	Loss 2.4483 (2.1620)	Prec@1 42.188 (45.303)	Prec@5 71.875 (75.889)
Epoch: [56][6180/14090]	Time 0.752 (0.751)	Data 0.001 (0.002)	Loss 2.2375 (2.1620)	Prec@1 44.531 (45.301)	Prec@5 73.438 (75.887)
Epoch: [56][6190/14090]	Time 0.736 (0.751)	Data 0.001 (0.002)	Loss 2.2482 (2.1620)	Prec@1 46.875 (45.305)	Prec@5 73.438 (75.887)
Epoch: [56][6200/14090]	Time 0.757 (0.751)	Data 0.001 (0.002)	Loss 2.2562 (2.1619)	Prec@1 43.750 (45.307)	Prec@5 74.219 (75.887)
Epoch: [56][6210/14090]	Time 0.766 (0.751)	Data 0.001 (0.002)	Loss 2.3721 (2.1620)	Prec@1 42.188 (45.305)	Prec@5 65.625 (75.885)
Epoch: [56][6220/14090]	Time 0.758 (0.751)	Data 0.001 (0.002)	Loss 2.0258 (2.1619)	Prec@1 52.344 (45.304)	Prec@5 76.562 (75.886)
Epoch: [56][6230/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 2.0320 (2.1619)	Prec@1 42.969 (45.304)	Prec@5 76.562 (75.886)
Epoch: [56][6240/14090]	Time 0.726 (0.751)	Data 0.002 (0.002)	Loss 2.4407 (2.1620)	Prec@1 44.531 (45.301)	Prec@5 70.312 (75.885)
Epoch: [56][6250/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 2.1833 (2.1622)	Prec@1 39.844 (45.298)	Prec@5 76.562 (75.883)
Epoch: [56][6260/14090]	Time 0.766 (0.751)	Data 0.001 (0.002)	Loss 2.2095 (2.1622)	Prec@1 45.312 (45.301)	Prec@5 74.219 (75.881)
Epoch: [56][6270/14090]	Time 0.746 (0.751)	Data 0.001 (0.002)	Loss 2.2838 (2.1621)	Prec@1 43.750 (45.301)	Prec@5 76.562 (75.881)
Epoch: [56][6280/14090]	Time 0.741 (0.751)	Data 0.001 (0.002)	Loss 1.7755 (2.1621)	Prec@1 52.344 (45.300)	Prec@5 84.375 (75.882)
Epoch: [56][6290/14090]	Time 0.749 (0.751)	Data 0.001 (0.002)	Loss 2.2865 (2.1622)	Prec@1 45.312 (45.299)	Prec@5 71.094 (75.880)
Epoch: [56][6300/14090]	Time 0.771 (0.751)	Data 0.001 (0.002)	Loss 2.2308 (2.1622)	Prec@1 42.969 (45.299)	Prec@5 76.562 (75.880)
Epoch: [56][6310/14090]	Time 0.752 (0.751)	Data 0.002 (0.002)	Loss 2.1167 (2.1622)	Prec@1 39.062 (45.299)	Prec@5 79.688 (75.881)
Epoch: [56][6320/14090]	Time 0.735 (0.751)	Data 0.001 (0.002)	Loss 1.9061 (2.1620)	Prec@1 51.562 (45.302)	Prec@5 80.469 (75.884)
Epoch: [56][6330/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 2.1233 (2.1622)	Prec@1 48.438 (45.298)	Prec@5 76.562 (75.882)
Epoch: [56][6340/14090]	Time 0.761 (0.751)	Data 0.001 (0.002)	Loss 2.2032 (2.1623)	Prec@1 46.094 (45.296)	Prec@5 74.219 (75.881)
Epoch: [56][6350/14090]	Time 0.727 (0.751)	Data 0.001 (0.002)	Loss 2.4144 (2.1624)	Prec@1 42.188 (45.292)	Prec@5 68.750 (75.876)
Epoch: [56][6360/14090]	Time 0.761 (0.751)	Data 0.001 (0.002)	Loss 2.3965 (2.1624)	Prec@1 42.188 (45.293)	Prec@5 72.656 (75.876)
Epoch: [56][6370/14090]	Time 0.745 (0.751)	Data 0.001 (0.002)	Loss 2.0181 (2.1625)	Prec@1 45.312 (45.290)	Prec@5 78.906 (75.876)
Epoch: [56][6380/14090]	Time 0.755 (0.751)	Data 0.002 (0.002)	Loss 2.2242 (2.1626)	Prec@1 39.062 (45.288)	Prec@5 73.438 (75.874)
Epoch: [56][6390/14090]	Time 0.746 (0.751)	Data 0.002 (0.002)	Loss 2.5497 (2.1626)	Prec@1 37.500 (45.287)	Prec@5 65.625 (75.873)
Epoch: [56][6400/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 1.9873 (2.1627)	Prec@1 57.812 (45.286)	Prec@5 76.562 (75.869)
Epoch: [56][6410/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 1.9710 (2.1627)	Prec@1 51.562 (45.284)	Prec@5 78.906 (75.867)
Epoch: [56][6420/14090]	Time 0.744 (0.751)	Data 0.001 (0.002)	Loss 2.1680 (2.1628)	Prec@1 47.656 (45.284)	Prec@5 74.219 (75.867)
Epoch: [56][6430/14090]	Time 0.787 (0.751)	Data 0.001 (0.002)	Loss 2.3463 (2.1629)	Prec@1 39.844 (45.282)	Prec@5 72.656 (75.862)
Epoch: [56][6440/14090]	Time 0.759 (0.751)	Data 0.001 (0.002)	Loss 2.1942 (2.1629)	Prec@1 37.500 (45.283)	Prec@5 78.906 (75.865)
Epoch: [56][6450/14090]	Time 0.729 (0.751)	Data 0.002 (0.002)	Loss 2.4982 (2.1630)	Prec@1 37.500 (45.278)	Prec@5 68.750 (75.861)
Epoch: [56][6460/14090]	Time 0.751 (0.751)	Data 0.001 (0.002)	Loss 2.1424 (2.1629)	Prec@1 40.625 (45.279)	Prec@5 78.125 (75.865)
Epoch: [56][6470/14090]	Time 0.767 (0.751)	Data 0.001 (0.002)	Loss 2.1735 (2.1628)	Prec@1 44.531 (45.283)	Prec@5 73.438 (75.867)
Epoch: [56][6480/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 2.0323 (2.1629)	Prec@1 46.875 (45.281)	Prec@5 80.469 (75.865)
Epoch: [56][6490/14090]	Time 0.724 (0.751)	Data 0.001 (0.002)	Loss 2.2253 (2.1628)	Prec@1 46.875 (45.284)	Prec@5 73.438 (75.866)
Epoch: [56][6500/14090]	Time 0.753 (0.751)	Data 0.001 (0.002)	Loss 2.1649 (2.1628)	Prec@1 43.750 (45.284)	Prec@5 74.219 (75.866)
Epoch: [56][6510/14090]	Time 0.760 (0.751)	Data 0.001 (0.002)	Loss 2.1261 (2.1628)	Prec@1 49.219 (45.282)	Prec@5 80.469 (75.865)
Epoch: [56][6520/14090]	Time 0.731 (0.751)	Data 0.002 (0.002)	Loss 1.9778 (2.1628)	Prec@1 50.781 (45.283)	Prec@5 82.031 (75.865)
Epoch: [56][6530/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 2.0263 (2.1628)	Prec@1 50.000 (45.285)	Prec@5 78.125 (75.865)
Epoch: [56][6540/14090]	Time 0.786 (0.751)	Data 0.001 (0.002)	Loss 2.3365 (2.1628)	Prec@1 45.312 (45.289)	Prec@5 71.094 (75.864)
Epoch: [56][6550/14090]	Time 0.764 (0.751)	Data 0.001 (0.002)	Loss 2.2870 (2.1629)	Prec@1 37.500 (45.285)	Prec@5 73.438 (75.862)
Epoch: [56][6560/14090]	Time 0.744 (0.751)	Data 0.001 (0.002)	Loss 2.3437 (2.1629)	Prec@1 44.531 (45.286)	Prec@5 77.344 (75.861)
Epoch: [56][6570/14090]	Time 0.744 (0.751)	Data 0.001 (0.002)	Loss 2.3352 (2.1630)	Prec@1 40.625 (45.285)	Prec@5 71.094 (75.858)
Epoch: [56][6580/14090]	Time 0.744 (0.751)	Data 0.001 (0.002)	Loss 2.0976 (2.1630)	Prec@1 48.438 (45.286)	Prec@5 75.781 (75.859)
Epoch: [56][6590/14090]	Time 0.771 (0.751)	Data 0.002 (0.002)	Loss 2.3312 (2.1629)	Prec@1 47.656 (45.286)	Prec@5 74.219 (75.860)
Epoch: [56][6600/14090]	Time 0.732 (0.751)	Data 0.001 (0.002)	Loss 1.9437 (2.1629)	Prec@1 52.344 (45.291)	Prec@5 78.906 (75.860)
Epoch: [56][6610/14090]	Time 0.776 (0.751)	Data 0.001 (0.002)	Loss 2.2275 (2.1629)	Prec@1 43.750 (45.294)	Prec@5 78.125 (75.860)
Epoch: [56][6620/14090]	Time 0.752 (0.751)	Data 0.001 (0.002)	Loss 2.2370 (2.1628)	Prec@1 41.406 (45.294)	Prec@5 77.344 (75.861)
Epoch: [56][6630/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 2.0548 (2.1630)	Prec@1 53.906 (45.290)	Prec@5 78.906 (75.861)
Epoch: [56][6640/14090]	Time 0.746 (0.751)	Data 0.001 (0.002)	Loss 2.4653 (2.1631)	Prec@1 42.188 (45.289)	Prec@5 70.312 (75.859)
Epoch: [56][6650/14090]	Time 0.753 (0.751)	Data 0.001 (0.002)	Loss 2.2928 (2.1631)	Prec@1 40.625 (45.290)	Prec@5 73.438 (75.861)
Epoch: [56][6660/14090]	Time 0.740 (0.751)	Data 0.002 (0.002)	Loss 2.2174 (2.1631)	Prec@1 38.281 (45.289)	Prec@5 75.000 (75.860)
Epoch: [56][6670/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 2.4093 (2.1630)	Prec@1 37.500 (45.290)	Prec@5 75.000 (75.861)
Epoch: [56][6680/14090]	Time 0.758 (0.751)	Data 0.001 (0.002)	Loss 1.8109 (2.1629)	Prec@1 55.469 (45.294)	Prec@5 78.125 (75.864)
Epoch: [56][6690/14090]	Time 0.741 (0.751)	Data 0.001 (0.002)	Loss 2.2533 (2.1629)	Prec@1 42.969 (45.294)	Prec@5 71.094 (75.863)
Epoch: [56][6700/14090]	Time 0.733 (0.751)	Data 0.001 (0.002)	Loss 2.2532 (2.1629)	Prec@1 40.625 (45.291)	Prec@5 75.000 (75.862)
Epoch: [56][6710/14090]	Time 0.751 (0.751)	Data 0.001 (0.002)	Loss 2.3523 (2.1630)	Prec@1 36.719 (45.289)	Prec@5 71.875 (75.859)
Epoch: [56][6720/14090]	Time 0.746 (0.751)	Data 0.001 (0.002)	Loss 2.3666 (2.1630)	Prec@1 34.375 (45.289)	Prec@5 73.438 (75.859)
Epoch: [56][6730/14090]	Time 0.756 (0.751)	Data 0.002 (0.002)	Loss 2.2033 (2.1631)	Prec@1 48.438 (45.287)	Prec@5 78.906 (75.858)
Epoch: [56][6740/14090]	Time 0.735 (0.751)	Data 0.001 (0.002)	Loss 2.3313 (2.1632)	Prec@1 42.188 (45.285)	Prec@5 73.438 (75.856)
Epoch: [56][6750/14090]	Time 0.772 (0.751)	Data 0.002 (0.002)	Loss 2.1331 (2.1631)	Prec@1 44.531 (45.285)	Prec@5 78.125 (75.860)
Epoch: [56][6760/14090]	Time 0.743 (0.751)	Data 0.001 (0.002)	Loss 2.4395 (2.1631)	Prec@1 43.750 (45.288)	Prec@5 76.562 (75.862)
Epoch: [56][6770/14090]	Time 0.734 (0.751)	Data 0.001 (0.002)	Loss 2.1829 (2.1630)	Prec@1 44.531 (45.290)	Prec@5 78.906 (75.862)
Epoch: [56][6780/14090]	Time 0.748 (0.751)	Data 0.001 (0.002)	Loss 2.0811 (2.1631)	Prec@1 45.312 (45.288)	Prec@5 75.781 (75.861)
Epoch: [56][6790/14090]	Time 0.750 (0.751)	Data 0.001 (0.002)	Loss 2.3046 (2.1630)	Prec@1 46.875 (45.290)	Prec@5 74.219 (75.860)
Epoch: [56][6800/14090]	Time 0.752 (0.751)	Data 0.002 (0.002)	Loss 2.1575 (2.1631)	Prec@1 50.000 (45.289)	Prec@5 72.656 (75.855)
Epoch: [56][6810/14090]	Time 0.753 (0.751)	Data 0.002 (0.002)	Loss 2.0438 (2.1632)	Prec@1 45.312 (45.288)	Prec@5 81.250 (75.853)
Epoch: [56][6820/14090]	Time 0.728 (0.751)	Data 0.001 (0.002)	Loss 2.1800 (2.1632)	Prec@1 50.000 (45.289)	Prec@5 79.688 (75.854)
Epoch: [56][6830/14090]	Time 0.759 (0.751)	Data 0.001 (0.002)	Loss 2.1891 (2.1631)	Prec@1 38.281 (45.287)	Prec@5 73.438 (75.854)
Epoch: [56][6840/14090]	Time 0.758 (0.751)	Data 0.001 (0.002)	Loss 2.1913 (2.1632)	Prec@1 46.875 (45.285)	Prec@5 76.562 (75.852)
Epoch: [56][6850/14090]	Time 0.748 (0.751)	Data 0.001 (0.002)	Loss 2.2124 (2.1632)	Prec@1 46.094 (45.285)	Prec@5 72.656 (75.852)
Epoch: [56][6860/14090]	Time 0.730 (0.751)	Data 0.001 (0.002)	Loss 2.1737 (2.1631)	Prec@1 42.969 (45.288)	Prec@5 73.438 (75.854)
Epoch: [56][6870/14090]	Time 0.741 (0.751)	Data 0.002 (0.002)	Loss 2.2016 (2.1631)	Prec@1 46.875 (45.286)	Prec@5 73.438 (75.853)
Epoch: [56][6880/14090]	Time 0.729 (0.751)	Data 0.001 (0.002)	Loss 2.1788 (2.1631)	Prec@1 40.625 (45.285)	Prec@5 71.875 (75.854)
Epoch: [56][6890/14090]	Time 0.738 (0.751)	Data 0.001 (0.002)	Loss 2.4936 (2.1632)	Prec@1 37.500 (45.282)	Prec@5 69.531 (75.853)
Epoch: [56][6900/14090]	Time 0.727 (0.751)	Data 0.001 (0.002)	Loss 2.3849 (2.1634)	Prec@1 42.188 (45.277)	Prec@5 76.562 (75.849)
Epoch: [56][6910/14090]	Time 0.781 (0.751)	Data 0.001 (0.002)	Loss 2.1129 (2.1634)	Prec@1 44.531 (45.278)	Prec@5 78.906 (75.850)
Epoch: [56][6920/14090]	Time 0.778 (0.751)	Data 0.001 (0.002)	Loss 2.2827 (2.1635)	Prec@1 48.438 (45.276)	Prec@5 73.438 (75.849)
Epoch: [56][6930/14090]	Time 0.738 (0.751)	Data 0.001 (0.002)	Loss 2.3467 (2.1635)	Prec@1 39.062 (45.276)	Prec@5 71.094 (75.847)
Epoch: [56][6940/14090]	Time 0.741 (0.751)	Data 0.002 (0.002)	Loss 2.1050 (2.1635)	Prec@1 47.656 (45.273)	Prec@5 78.125 (75.848)
Epoch: [56][6950/14090]	Time 0.758 (0.751)	Data 0.001 (0.002)	Loss 2.2593 (2.1636)	Prec@1 43.750 (45.271)	Prec@5 71.875 (75.845)
Epoch: [56][6960/14090]	Time 0.740 (0.751)	Data 0.001 (0.002)	Loss 2.0376 (2.1636)	Prec@1 49.219 (45.273)	Prec@5 75.781 (75.845)
Epoch: [56][6970/14090]	Time 0.738 (0.751)	Data 0.001 (0.002)	Loss 2.3041 (2.1637)	Prec@1 39.062 (45.271)	Prec@5 76.562 (75.843)
Epoch: [56][6980/14090]	Time 0.745 (0.751)	Data 0.001 (0.002)	Loss 2.2216 (2.1637)	Prec@1 43.750 (45.272)	Prec@5 73.438 (75.843)
Epoch: [56][6990/14090]	Time 0.750 (0.751)	Data 0.001 (0.002)	Loss 2.2147 (2.1638)	Prec@1 45.312 (45.273)	Prec@5 74.219 (75.843)
Epoch: [56][7000/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 2.4390 (2.1637)	Prec@1 35.938 (45.273)	Prec@5 67.188 (75.841)
Epoch: [56][7010/14090]	Time 0.762 (0.751)	Data 0.002 (0.002)	Loss 2.1875 (2.1636)	Prec@1 40.625 (45.274)	Prec@5 74.219 (75.842)
Epoch: [56][7020/14090]	Time 0.740 (0.751)	Data 0.001 (0.002)	Loss 1.8029 (2.1636)	Prec@1 51.562 (45.275)	Prec@5 83.594 (75.843)
Epoch: [56][7030/14090]	Time 0.756 (0.751)	Data 0.001 (0.002)	Loss 1.9848 (2.1636)	Prec@1 49.219 (45.277)	Prec@5 78.125 (75.843)
Epoch: [56][7040/14090]	Time 0.744 (0.751)	Data 0.001 (0.002)	Loss 2.0677 (2.1635)	Prec@1 47.656 (45.276)	Prec@5 82.031 (75.843)
Epoch: [56][7050/14090]	Time 0.751 (0.751)	Data 0.001 (0.002)	Loss 2.2349 (2.1635)	Prec@1 42.969 (45.273)	Prec@5 74.219 (75.845)
Epoch: [56][7060/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 2.4326 (2.1636)	Prec@1 40.625 (45.273)	Prec@5 70.312 (75.842)
Epoch: [56][7070/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 2.1136 (2.1635)	Prec@1 49.219 (45.273)	Prec@5 77.344 (75.843)
Epoch: [56][7080/14090]	Time 0.751 (0.751)	Data 0.002 (0.002)	Loss 2.1017 (2.1635)	Prec@1 46.094 (45.273)	Prec@5 76.562 (75.844)
Epoch: [56][7090/14090]	Time 0.751 (0.751)	Data 0.001 (0.002)	Loss 2.3411 (2.1635)	Prec@1 39.844 (45.272)	Prec@5 69.531 (75.844)
Epoch: [56][7100/14090]	Time 0.757 (0.751)	Data 0.001 (0.002)	Loss 2.1530 (2.1634)	Prec@1 49.219 (45.275)	Prec@5 71.875 (75.846)
Epoch: [56][7110/14090]	Time 0.778 (0.751)	Data 0.001 (0.002)	Loss 2.3865 (2.1635)	Prec@1 40.625 (45.274)	Prec@5 74.219 (75.843)
Epoch: [56][7120/14090]	Time 0.726 (0.751)	Data 0.001 (0.002)	Loss 2.1895 (2.1636)	Prec@1 48.438 (45.272)	Prec@5 74.219 (75.841)
Epoch: [56][7130/14090]	Time 0.737 (0.751)	Data 0.001 (0.002)	Loss 1.9758 (2.1637)	Prec@1 51.562 (45.272)	Prec@5 80.469 (75.840)
Epoch: [56][7140/14090]	Time 0.726 (0.751)	Data 0.001 (0.002)	Loss 2.4093 (2.1637)	Prec@1 35.156 (45.270)	Prec@5 67.969 (75.838)
Epoch: [56][7150/14090]	Time 0.746 (0.751)	Data 0.002 (0.002)	Loss 2.3165 (2.1638)	Prec@1 45.312 (45.268)	Prec@5 72.656 (75.836)
Epoch: [56][7160/14090]	Time 0.752 (0.751)	Data 0.001 (0.002)	Loss 2.3946 (2.1638)	Prec@1 39.062 (45.267)	Prec@5 69.531 (75.836)
Epoch: [56][7170/14090]	Time 0.764 (0.751)	Data 0.001 (0.002)	Loss 2.2332 (2.1638)	Prec@1 40.625 (45.264)	Prec@5 75.000 (75.836)
Epoch: [56][7180/14090]	Time 0.745 (0.751)	Data 0.001 (0.002)	Loss 2.0495 (2.1637)	Prec@1 46.094 (45.264)	Prec@5 80.469 (75.839)
Epoch: [56][7190/14090]	Time 0.735 (0.751)	Data 0.001 (0.002)	Loss 2.0045 (2.1637)	Prec@1 49.219 (45.261)	Prec@5 81.250 (75.840)
Epoch: [56][7200/14090]	Time 0.762 (0.751)	Data 0.001 (0.002)	Loss 2.1111 (2.1638)	Prec@1 44.531 (45.261)	Prec@5 78.906 (75.841)
Epoch: [56][7210/14090]	Time 0.732 (0.751)	Data 0.001 (0.002)	Loss 2.1303 (2.1638)	Prec@1 48.438 (45.260)	Prec@5 72.656 (75.840)
Epoch: [56][7220/14090]	Time 0.800 (0.751)	Data 0.002 (0.002)	Loss 2.3768 (2.1638)	Prec@1 36.719 (45.258)	Prec@5 71.875 (75.839)
Epoch: [56][7230/14090]	Time 0.781 (0.751)	Data 0.001 (0.002)	Loss 2.1888 (2.1638)	Prec@1 42.188 (45.260)	Prec@5 75.781 (75.839)
Epoch: [56][7240/14090]	Time 0.757 (0.751)	Data 0.001 (0.002)	Loss 2.1349 (2.1638)	Prec@1 42.188 (45.259)	Prec@5 76.562 (75.840)
Epoch: [56][7250/14090]	Time 0.763 (0.751)	Data 0.001 (0.002)	Loss 2.0757 (2.1638)	Prec@1 44.531 (45.259)	Prec@5 76.562 (75.840)
Epoch: [56][7260/14090]	Time 0.757 (0.751)	Data 0.001 (0.002)	Loss 2.0645 (2.1637)	Prec@1 50.781 (45.261)	Prec@5 75.000 (75.841)
Epoch: [56][7270/14090]	Time 0.735 (0.751)	Data 0.001 (0.002)	Loss 2.1033 (2.1638)	Prec@1 46.875 (45.260)	Prec@5 75.000 (75.841)
Epoch: [56][7280/14090]	Time 0.801 (0.751)	Data 0.001 (0.002)	Loss 2.1107 (2.1637)	Prec@1 48.438 (45.262)	Prec@5 74.219 (75.844)
Epoch: [56][7290/14090]	Time 0.769 (0.751)	Data 0.002 (0.002)	Loss 1.9552 (2.1636)	Prec@1 47.656 (45.261)	Prec@5 81.250 (75.845)
Epoch: [56][7300/14090]	Time 0.751 (0.751)	Data 0.001 (0.002)	Loss 2.5539 (2.1636)	Prec@1 37.500 (45.262)	Prec@5 71.094 (75.844)
Epoch: [56][7310/14090]	Time 0.752 (0.751)	Data 0.001 (0.002)	Loss 2.0278 (2.1635)	Prec@1 47.656 (45.265)	Prec@5 74.219 (75.844)
Epoch: [56][7320/14090]	Time 0.736 (0.751)	Data 0.001 (0.002)	Loss 2.2174 (2.1635)	Prec@1 46.875 (45.267)	Prec@5 71.875 (75.843)
Epoch: [56][7330/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 2.3867 (2.1635)	Prec@1 41.406 (45.267)	Prec@5 69.531 (75.846)
Epoch: [56][7340/14090]	Time 0.749 (0.751)	Data 0.001 (0.002)	Loss 2.2100 (2.1636)	Prec@1 43.750 (45.264)	Prec@5 78.906 (75.845)
Epoch: [56][7350/14090]	Time 0.766 (0.751)	Data 0.001 (0.002)	Loss 2.2004 (2.1636)	Prec@1 48.438 (45.263)	Prec@5 75.000 (75.843)
Epoch: [56][7360/14090]	Time 0.759 (0.751)	Data 0.002 (0.002)	Loss 2.1451 (2.1636)	Prec@1 47.656 (45.266)	Prec@5 77.344 (75.844)
Epoch: [56][7370/14090]	Time 0.760 (0.751)	Data 0.001 (0.002)	Loss 2.3181 (2.1637)	Prec@1 42.188 (45.264)	Prec@5 73.438 (75.845)
Epoch: [56][7380/14090]	Time 0.758 (0.751)	Data 0.001 (0.002)	Loss 2.2827 (2.1637)	Prec@1 44.531 (45.265)	Prec@5 75.781 (75.844)
Epoch: [56][7390/14090]	Time 0.765 (0.751)	Data 0.001 (0.002)	Loss 2.3104 (2.1637)	Prec@1 39.844 (45.266)	Prec@5 78.125 (75.843)
Epoch: [56][7400/14090]	Time 0.742 (0.751)	Data 0.001 (0.002)	Loss 2.0238 (2.1636)	Prec@1 45.312 (45.264)	Prec@5 75.781 (75.843)
Epoch: [56][7410/14090]	Time 0.746 (0.751)	Data 0.001 (0.002)	Loss 2.3632 (2.1637)	Prec@1 45.312 (45.266)	Prec@5 68.750 (75.844)
Epoch: [56][7420/14090]	Time 0.752 (0.751)	Data 0.001 (0.002)	Loss 2.1581 (2.1637)	Prec@1 45.312 (45.264)	Prec@5 75.000 (75.844)
Epoch: [56][7430/14090]	Time 0.744 (0.751)	Data 0.002 (0.002)	Loss 1.9459 (2.1638)	Prec@1 56.250 (45.261)	Prec@5 77.344 (75.843)
Epoch: [56][7440/14090]	Time 0.764 (0.751)	Data 0.001 (0.002)	Loss 2.1382 (2.1638)	Prec@1 46.875 (45.262)	Prec@5 75.781 (75.844)
Epoch: [56][7450/14090]	Time 0.747 (0.751)	Data 0.002 (0.002)	Loss 2.0580 (2.1638)	Prec@1 44.531 (45.259)	Prec@5 79.688 (75.844)
Epoch: [56][7460/14090]	Time 0.774 (0.751)	Data 0.001 (0.002)	Loss 2.4130 (2.1639)	Prec@1 43.750 (45.258)	Prec@5 69.531 (75.843)
Epoch: [56][7470/14090]	Time 0.732 (0.751)	Data 0.001 (0.002)	Loss 2.3895 (2.1639)	Prec@1 39.062 (45.260)	Prec@5 74.219 (75.843)
Epoch: [56][7480/14090]	Time 0.763 (0.751)	Data 0.001 (0.002)	Loss 2.3188 (2.1640)	Prec@1 41.406 (45.260)	Prec@5 72.656 (75.841)
Epoch: [56][7490/14090]	Time 0.783 (0.751)	Data 0.001 (0.002)	Loss 2.3968 (2.1641)	Prec@1 42.188 (45.259)	Prec@5 69.531 (75.839)
Epoch: [56][7500/14090]	Time 0.743 (0.751)	Data 0.002 (0.002)	Loss 2.1706 (2.1641)	Prec@1 45.312 (45.260)	Prec@5 77.344 (75.839)
Epoch: [56][7510/14090]	Time 0.732 (0.751)	Data 0.001 (0.002)	Loss 2.2061 (2.1640)	Prec@1 43.750 (45.263)	Prec@5 74.219 (75.839)
Epoch: [56][7520/14090]	Time 0.757 (0.751)	Data 0.001 (0.002)	Loss 1.9620 (2.1640)	Prec@1 47.656 (45.262)	Prec@5 75.781 (75.837)
Epoch: [56][7530/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 2.1625 (2.1640)	Prec@1 45.312 (45.263)	Prec@5 75.000 (75.837)
Epoch: [56][7540/14090]	Time 0.758 (0.751)	Data 0.001 (0.002)	Loss 1.7835 (2.1640)	Prec@1 53.906 (45.261)	Prec@5 79.688 (75.836)
Epoch: [56][7550/14090]	Time 0.749 (0.751)	Data 0.001 (0.002)	Loss 2.3039 (2.1641)	Prec@1 40.625 (45.261)	Prec@5 73.438 (75.835)
Epoch: [56][7560/14090]	Time 0.753 (0.751)	Data 0.001 (0.002)	Loss 2.3332 (2.1641)	Prec@1 39.062 (45.259)	Prec@5 75.000 (75.835)
Epoch: [56][7570/14090]	Time 0.757 (0.751)	Data 0.002 (0.002)	Loss 2.0246 (2.1641)	Prec@1 47.656 (45.260)	Prec@5 77.344 (75.836)
Epoch: [56][7580/14090]	Time 0.743 (0.751)	Data 0.001 (0.002)	Loss 2.3517 (2.1640)	Prec@1 39.062 (45.262)	Prec@5 72.656 (75.838)
Epoch: [56][7590/14090]	Time 0.736 (0.751)	Data 0.001 (0.002)	Loss 2.2266 (2.1641)	Prec@1 41.406 (45.263)	Prec@5 78.125 (75.836)
Epoch: [56][7600/14090]	Time 0.756 (0.751)	Data 0.001 (0.002)	Loss 1.8727 (2.1639)	Prec@1 46.094 (45.265)	Prec@5 85.156 (75.838)
Epoch: [56][7610/14090]	Time 0.762 (0.751)	Data 0.001 (0.002)	Loss 1.9536 (2.1638)	Prec@1 51.562 (45.268)	Prec@5 80.469 (75.838)
Epoch: [56][7620/14090]	Time 0.733 (0.751)	Data 0.001 (0.002)	Loss 1.7856 (2.1638)	Prec@1 54.688 (45.268)	Prec@5 78.125 (75.840)
Epoch: [56][7630/14090]	Time 0.756 (0.751)	Data 0.001 (0.002)	Loss 1.9275 (2.1637)	Prec@1 53.906 (45.271)	Prec@5 80.469 (75.841)
Epoch: [56][7640/14090]	Time 0.735 (0.751)	Data 0.002 (0.002)	Loss 2.1738 (2.1638)	Prec@1 50.000 (45.270)	Prec@5 74.219 (75.838)
Epoch: [56][7650/14090]	Time 0.731 (0.751)	Data 0.001 (0.002)	Loss 1.9632 (2.1638)	Prec@1 46.875 (45.271)	Prec@5 77.344 (75.837)
Epoch: [56][7660/14090]	Time 0.743 (0.751)	Data 0.001 (0.002)	Loss 2.0483 (2.1638)	Prec@1 49.219 (45.274)	Prec@5 78.906 (75.837)
Epoch: [56][7670/14090]	Time 0.772 (0.751)	Data 0.001 (0.002)	Loss 2.1587 (2.1638)	Prec@1 46.875 (45.273)	Prec@5 75.000 (75.836)
Epoch: [56][7680/14090]	Time 0.751 (0.751)	Data 0.001 (0.002)	Loss 2.3839 (2.1638)	Prec@1 43.750 (45.274)	Prec@5 74.219 (75.839)
Epoch: [56][7690/14090]	Time 0.774 (0.751)	Data 0.001 (0.002)	Loss 2.1246 (2.1638)	Prec@1 47.656 (45.275)	Prec@5 75.781 (75.838)
Epoch: [56][7700/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 2.1122 (2.1638)	Prec@1 46.094 (45.276)	Prec@5 80.469 (75.836)
Epoch: [56][7710/14090]	Time 0.734 (0.751)	Data 0.002 (0.002)	Loss 2.0877 (2.1638)	Prec@1 42.188 (45.276)	Prec@5 78.906 (75.834)
Epoch: [56][7720/14090]	Time 0.752 (0.751)	Data 0.001 (0.002)	Loss 2.3568 (2.1639)	Prec@1 37.500 (45.274)	Prec@5 70.312 (75.832)
Epoch: [56][7730/14090]	Time 0.767 (0.751)	Data 0.001 (0.002)	Loss 2.4287 (2.1638)	Prec@1 39.062 (45.275)	Prec@5 74.219 (75.832)
Epoch: [56][7740/14090]	Time 0.769 (0.751)	Data 0.001 (0.002)	Loss 2.0702 (2.1639)	Prec@1 46.875 (45.275)	Prec@5 77.344 (75.833)
Epoch: [56][7750/14090]	Time 0.780 (0.751)	Data 0.001 (0.002)	Loss 1.9233 (2.1638)	Prec@1 46.875 (45.277)	Prec@5 82.812 (75.832)
Epoch: [56][7760/14090]	Time 0.733 (0.751)	Data 0.001 (0.002)	Loss 2.1342 (2.1638)	Prec@1 46.094 (45.276)	Prec@5 75.781 (75.834)
Epoch: [56][7770/14090]	Time 0.753 (0.751)	Data 0.001 (0.002)	Loss 2.2865 (2.1638)	Prec@1 37.500 (45.276)	Prec@5 72.656 (75.833)
Epoch: [56][7780/14090]	Time 0.756 (0.751)	Data 0.002 (0.002)	Loss 2.2144 (2.1639)	Prec@1 44.531 (45.276)	Prec@5 75.781 (75.830)
Epoch: [56][7790/14090]	Time 0.778 (0.751)	Data 0.001 (0.002)	Loss 2.3336 (2.1638)	Prec@1 43.750 (45.279)	Prec@5 74.219 (75.831)
Epoch: [56][7800/14090]	Time 0.759 (0.751)	Data 0.001 (0.002)	Loss 1.9522 (2.1637)	Prec@1 52.344 (45.278)	Prec@5 77.344 (75.832)
Epoch: [56][7810/14090]	Time 0.775 (0.751)	Data 0.001 (0.002)	Loss 2.4595 (2.1638)	Prec@1 37.500 (45.278)	Prec@5 70.312 (75.832)
Epoch: [56][7820/14090]	Time 0.750 (0.751)	Data 0.001 (0.002)	Loss 2.1656 (2.1637)	Prec@1 42.969 (45.276)	Prec@5 76.562 (75.833)
Epoch: [56][7830/14090]	Time 0.777 (0.751)	Data 0.001 (0.002)	Loss 2.2896 (2.1638)	Prec@1 38.281 (45.274)	Prec@5 73.438 (75.831)
Epoch: [56][7840/14090]	Time 0.732 (0.751)	Data 0.001 (0.002)	Loss 2.2903 (2.1637)	Prec@1 40.625 (45.272)	Prec@5 74.219 (75.831)
Epoch: [56][7850/14090]	Time 0.741 (0.751)	Data 0.002 (0.002)	Loss 2.1307 (2.1638)	Prec@1 50.781 (45.270)	Prec@5 72.656 (75.832)
Epoch: [56][7860/14090]	Time 0.756 (0.751)	Data 0.001 (0.002)	Loss 2.2444 (2.1639)	Prec@1 42.969 (45.268)	Prec@5 78.906 (75.832)
Epoch: [56][7870/14090]	Time 0.738 (0.751)	Data 0.001 (0.002)	Loss 2.3008 (2.1639)	Prec@1 49.219 (45.271)	Prec@5 74.219 (75.832)
Epoch: [56][7880/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 2.2575 (2.1639)	Prec@1 44.531 (45.270)	Prec@5 74.219 (75.833)
Epoch: [56][7890/14090]	Time 0.735 (0.751)	Data 0.001 (0.002)	Loss 2.1109 (2.1639)	Prec@1 45.312 (45.270)	Prec@5 80.469 (75.833)
Epoch: [56][7900/14090]	Time 0.763 (0.751)	Data 0.001 (0.002)	Loss 1.8779 (2.1639)	Prec@1 53.125 (45.272)	Prec@5 78.906 (75.834)
Epoch: [56][7910/14090]	Time 0.736 (0.751)	Data 0.001 (0.002)	Loss 2.2963 (2.1639)	Prec@1 42.188 (45.272)	Prec@5 71.094 (75.833)
Epoch: [56][7920/14090]	Time 0.760 (0.751)	Data 0.002 (0.002)	Loss 2.2676 (2.1639)	Prec@1 46.094 (45.271)	Prec@5 71.875 (75.832)
Epoch: [56][7930/14090]	Time 0.744 (0.751)	Data 0.001 (0.002)	Loss 2.1042 (2.1639)	Prec@1 44.531 (45.269)	Prec@5 77.344 (75.832)
Epoch: [56][7940/14090]	Time 0.751 (0.751)	Data 0.001 (0.002)	Loss 2.2293 (2.1639)	Prec@1 46.094 (45.269)	Prec@5 79.688 (75.835)
Epoch: [56][7950/14090]	Time 0.769 (0.751)	Data 0.001 (0.002)	Loss 2.3006 (2.1639)	Prec@1 42.188 (45.271)	Prec@5 72.656 (75.836)
Epoch: [56][7960/14090]	Time 0.752 (0.751)	Data 0.001 (0.002)	Loss 2.2641 (2.1639)	Prec@1 44.531 (45.274)	Prec@5 73.438 (75.836)
Epoch: [56][7970/14090]	Time 0.737 (0.751)	Data 0.001 (0.002)	Loss 2.0824 (2.1639)	Prec@1 45.312 (45.273)	Prec@5 75.781 (75.833)
Epoch: [56][7980/14090]	Time 0.757 (0.751)	Data 0.001 (0.002)	Loss 2.2719 (2.1640)	Prec@1 40.625 (45.272)	Prec@5 72.656 (75.832)
Epoch: [56][7990/14090]	Time 0.723 (0.751)	Data 0.002 (0.002)	Loss 2.2391 (2.1639)	Prec@1 50.000 (45.276)	Prec@5 72.656 (75.832)
Epoch: [56][8000/14090]	Time 0.753 (0.751)	Data 0.001 (0.002)	Loss 1.9517 (2.1638)	Prec@1 53.125 (45.277)	Prec@5 82.031 (75.833)
Epoch: [56][8010/14090]	Time 0.749 (0.751)	Data 0.001 (0.002)	Loss 2.2156 (2.1638)	Prec@1 44.531 (45.276)	Prec@5 73.438 (75.831)
Epoch: [56][8020/14090]	Time 0.756 (0.751)	Data 0.001 (0.002)	Loss 2.3229 (2.1640)	Prec@1 37.500 (45.272)	Prec@5 75.781 (75.829)
Epoch: [56][8030/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 2.3195 (2.1640)	Prec@1 46.094 (45.272)	Prec@5 78.906 (75.829)
Epoch: [56][8040/14090]	Time 0.756 (0.751)	Data 0.001 (0.002)	Loss 2.2817 (2.1640)	Prec@1 43.750 (45.274)	Prec@5 71.875 (75.830)
Epoch: [56][8050/14090]	Time 0.725 (0.751)	Data 0.001 (0.002)	Loss 2.1307 (2.1640)	Prec@1 46.875 (45.272)	Prec@5 75.000 (75.829)
Epoch: [56][8060/14090]	Time 0.751 (0.751)	Data 0.002 (0.002)	Loss 1.9131 (2.1640)	Prec@1 45.312 (45.272)	Prec@5 81.250 (75.830)
Epoch: [56][8070/14090]	Time 0.768 (0.751)	Data 0.001 (0.002)	Loss 2.1066 (2.1640)	Prec@1 48.438 (45.272)	Prec@5 80.469 (75.832)
Epoch: [56][8080/14090]	Time 0.751 (0.751)	Data 0.001 (0.002)	Loss 2.4063 (2.1642)	Prec@1 37.500 (45.265)	Prec@5 67.188 (75.829)
Epoch: [56][8090/14090]	Time 0.748 (0.751)	Data 0.001 (0.002)	Loss 2.0622 (2.1643)	Prec@1 48.438 (45.263)	Prec@5 76.562 (75.828)
Epoch: [56][8100/14090]	Time 0.734 (0.751)	Data 0.001 (0.002)	Loss 2.0438 (2.1643)	Prec@1 48.438 (45.264)	Prec@5 79.688 (75.828)
Epoch: [56][8110/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 2.0547 (2.1641)	Prec@1 46.875 (45.265)	Prec@5 75.781 (75.830)
Epoch: [56][8120/14090]	Time 0.761 (0.751)	Data 0.001 (0.002)	Loss 1.9808 (2.1641)	Prec@1 43.750 (45.266)	Prec@5 78.125 (75.830)
Epoch: [56][8130/14090]	Time 0.754 (0.751)	Data 0.002 (0.002)	Loss 2.0930 (2.1641)	Prec@1 42.969 (45.264)	Prec@5 78.906 (75.829)
Epoch: [56][8140/14090]	Time 0.737 (0.751)	Data 0.001 (0.002)	Loss 2.2035 (2.1643)	Prec@1 40.625 (45.259)	Prec@5 81.250 (75.826)
Epoch: [56][8150/14090]	Time 0.785 (0.751)	Data 0.001 (0.002)	Loss 1.9529 (2.1642)	Prec@1 48.438 (45.258)	Prec@5 83.594 (75.826)
Epoch: [56][8160/14090]	Time 0.752 (0.751)	Data 0.001 (0.002)	Loss 2.2115 (2.1642)	Prec@1 41.406 (45.260)	Prec@5 75.781 (75.827)
Epoch: [56][8170/14090]	Time 0.752 (0.751)	Data 0.001 (0.002)	Loss 2.4118 (2.1641)	Prec@1 47.656 (45.260)	Prec@5 70.312 (75.830)
Epoch: [56][8180/14090]	Time 0.752 (0.751)	Data 0.001 (0.002)	Loss 2.3102 (2.1641)	Prec@1 47.656 (45.262)	Prec@5 73.438 (75.829)
Epoch: [56][8190/14090]	Time 0.771 (0.751)	Data 0.001 (0.002)	Loss 2.3470 (2.1642)	Prec@1 42.969 (45.261)	Prec@5 76.562 (75.830)
Epoch: [56][8200/14090]	Time 0.774 (0.751)	Data 0.002 (0.002)	Loss 2.2189 (2.1641)	Prec@1 47.656 (45.264)	Prec@5 75.000 (75.829)
Epoch: [56][8210/14090]	Time 0.759 (0.751)	Data 0.001 (0.002)	Loss 2.0853 (2.1641)	Prec@1 50.000 (45.266)	Prec@5 78.906 (75.831)
Epoch: [56][8220/14090]	Time 0.737 (0.751)	Data 0.001 (0.002)	Loss 2.1900 (2.1642)	Prec@1 40.625 (45.265)	Prec@5 75.000 (75.830)
Epoch: [56][8230/14090]	Time 0.744 (0.751)	Data 0.001 (0.002)	Loss 1.9260 (2.1641)	Prec@1 53.906 (45.269)	Prec@5 80.469 (75.831)
Epoch: [56][8240/14090]	Time 0.744 (0.751)	Data 0.001 (0.002)	Loss 2.1450 (2.1641)	Prec@1 49.219 (45.270)	Prec@5 74.219 (75.830)
Epoch: [56][8250/14090]	Time 0.753 (0.751)	Data 0.001 (0.002)	Loss 2.2364 (2.1642)	Prec@1 46.875 (45.270)	Prec@5 70.312 (75.829)
Epoch: [56][8260/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 2.1425 (2.1642)	Prec@1 45.312 (45.269)	Prec@5 76.562 (75.829)
Epoch: [56][8270/14090]	Time 0.765 (0.751)	Data 0.002 (0.002)	Loss 1.9798 (2.1642)	Prec@1 49.219 (45.269)	Prec@5 76.562 (75.830)
Epoch: [56][8280/14090]	Time 0.762 (0.751)	Data 0.001 (0.002)	Loss 2.1038 (2.1643)	Prec@1 50.000 (45.266)	Prec@5 72.656 (75.827)
Epoch: [56][8290/14090]	Time 0.742 (0.751)	Data 0.001 (0.002)	Loss 2.1785 (2.1643)	Prec@1 45.312 (45.266)	Prec@5 74.219 (75.825)
Epoch: [56][8300/14090]	Time 0.744 (0.751)	Data 0.001 (0.002)	Loss 1.9455 (2.1642)	Prec@1 41.406 (45.268)	Prec@5 85.156 (75.827)
Epoch: [56][8310/14090]	Time 0.757 (0.751)	Data 0.001 (0.002)	Loss 2.0556 (2.1641)	Prec@1 49.219 (45.270)	Prec@5 80.469 (75.827)
Epoch: [56][8320/14090]	Time 0.742 (0.751)	Data 0.001 (0.002)	Loss 2.3832 (2.1642)	Prec@1 43.750 (45.267)	Prec@5 74.219 (75.825)
Epoch: [56][8330/14090]	Time 0.756 (0.751)	Data 0.001 (0.002)	Loss 2.1641 (2.1641)	Prec@1 45.312 (45.269)	Prec@5 76.562 (75.826)
Epoch: [56][8340/14090]	Time 0.755 (0.751)	Data 0.002 (0.002)	Loss 2.3526 (2.1641)	Prec@1 42.188 (45.265)	Prec@5 75.000 (75.826)
Epoch: [56][8350/14090]	Time 0.765 (0.751)	Data 0.001 (0.002)	Loss 2.1583 (2.1641)	Prec@1 41.406 (45.263)	Prec@5 78.125 (75.825)
Epoch: [56][8360/14090]	Time 0.764 (0.751)	Data 0.001 (0.002)	Loss 1.9361 (2.1642)	Prec@1 51.562 (45.263)	Prec@5 78.906 (75.824)
Epoch: [56][8370/14090]	Time 0.759 (0.751)	Data 0.001 (0.002)	Loss 1.7107 (2.1642)	Prec@1 56.250 (45.263)	Prec@5 82.812 (75.823)
Epoch: [56][8380/14090]	Time 0.723 (0.751)	Data 0.001 (0.002)	Loss 2.0543 (2.1642)	Prec@1 50.000 (45.262)	Prec@5 78.125 (75.822)
Epoch: [56][8390/14090]	Time 0.721 (0.751)	Data 0.001 (0.002)	Loss 2.4435 (2.1644)	Prec@1 35.156 (45.260)	Prec@5 67.969 (75.819)
Epoch: [56][8400/14090]	Time 0.730 (0.751)	Data 0.001 (0.002)	Loss 1.9888 (2.1644)	Prec@1 50.781 (45.259)	Prec@5 78.125 (75.818)
Epoch: [56][8410/14090]	Time 0.752 (0.751)	Data 0.002 (0.002)	Loss 2.0872 (2.1644)	Prec@1 39.062 (45.259)	Prec@5 77.344 (75.818)
Epoch: [56][8420/14090]	Time 0.728 (0.751)	Data 0.001 (0.002)	Loss 1.7391 (2.1644)	Prec@1 53.906 (45.258)	Prec@5 83.594 (75.819)
Epoch: [56][8430/14090]	Time 0.758 (0.751)	Data 0.001 (0.002)	Loss 1.9380 (2.1643)	Prec@1 53.125 (45.260)	Prec@5 80.469 (75.819)
Epoch: [56][8440/14090]	Time 0.784 (0.751)	Data 0.001 (0.002)	Loss 2.0578 (2.1643)	Prec@1 45.312 (45.258)	Prec@5 76.562 (75.820)
Epoch: [56][8450/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 2.1615 (2.1643)	Prec@1 38.281 (45.259)	Prec@5 78.906 (75.820)
Epoch: [56][8460/14090]	Time 0.790 (0.751)	Data 0.001 (0.002)	Loss 2.3501 (2.1643)	Prec@1 40.625 (45.259)	Prec@5 73.438 (75.819)
Epoch: [56][8470/14090]	Time 0.730 (0.751)	Data 0.001 (0.002)	Loss 2.2348 (2.1644)	Prec@1 44.531 (45.255)	Prec@5 73.438 (75.817)
Epoch: [56][8480/14090]	Time 0.766 (0.751)	Data 0.002 (0.002)	Loss 1.9244 (2.1644)	Prec@1 49.219 (45.255)	Prec@5 82.812 (75.817)
Epoch: [56][8490/14090]	Time 0.768 (0.751)	Data 0.001 (0.002)	Loss 2.4453 (2.1646)	Prec@1 40.625 (45.251)	Prec@5 67.188 (75.814)
Epoch: [56][8500/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 2.1011 (2.1645)	Prec@1 46.875 (45.253)	Prec@5 82.031 (75.817)
Epoch: [56][8510/14090]	Time 0.754 (0.751)	Data 0.002 (0.002)	Loss 2.1475 (2.1645)	Prec@1 42.188 (45.255)	Prec@5 75.781 (75.816)
Epoch: [56][8520/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 2.0337 (2.1645)	Prec@1 49.219 (45.255)	Prec@5 80.469 (75.817)
Epoch: [56][8530/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 2.1551 (2.1644)	Prec@1 42.188 (45.256)	Prec@5 76.562 (75.818)
Epoch: [56][8540/14090]	Time 0.768 (0.751)	Data 0.001 (0.002)	Loss 2.2138 (2.1645)	Prec@1 42.188 (45.255)	Prec@5 73.438 (75.818)
Epoch: [56][8550/14090]	Time 0.763 (0.751)	Data 0.002 (0.002)	Loss 2.2831 (2.1646)	Prec@1 42.188 (45.252)	Prec@5 75.000 (75.817)
Epoch: [56][8560/14090]	Time 0.744 (0.751)	Data 0.001 (0.002)	Loss 1.9225 (2.1645)	Prec@1 49.219 (45.253)	Prec@5 80.469 (75.818)
Epoch: [56][8570/14090]	Time 0.763 (0.751)	Data 0.001 (0.002)	Loss 1.9804 (2.1645)	Prec@1 47.656 (45.252)	Prec@5 77.344 (75.817)
Epoch: [56][8580/14090]	Time 0.741 (0.751)	Data 0.001 (0.002)	Loss 2.1900 (2.1645)	Prec@1 46.875 (45.250)	Prec@5 77.344 (75.818)
Epoch: [56][8590/14090]	Time 0.726 (0.751)	Data 0.001 (0.002)	Loss 1.8589 (2.1646)	Prec@1 55.469 (45.248)	Prec@5 84.375 (75.816)
Epoch: [56][8600/14090]	Time 0.753 (0.751)	Data 0.001 (0.002)	Loss 2.3719 (2.1647)	Prec@1 39.844 (45.247)	Prec@5 67.188 (75.813)
Epoch: [56][8610/14090]	Time 0.758 (0.751)	Data 0.001 (0.002)	Loss 2.2741 (2.1648)	Prec@1 44.531 (45.244)	Prec@5 75.000 (75.813)
Epoch: [56][8620/14090]	Time 0.742 (0.751)	Data 0.001 (0.002)	Loss 2.1841 (2.1649)	Prec@1 45.312 (45.243)	Prec@5 75.781 (75.812)
Epoch: [56][8630/14090]	Time 0.761 (0.751)	Data 0.002 (0.002)	Loss 2.4027 (2.1649)	Prec@1 39.844 (45.243)	Prec@5 68.750 (75.811)
Epoch: [56][8640/14090]	Time 0.743 (0.751)	Data 0.001 (0.002)	Loss 2.3215 (2.1649)	Prec@1 40.625 (45.243)	Prec@5 75.781 (75.811)
Epoch: [56][8650/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 2.0502 (2.1649)	Prec@1 39.062 (45.242)	Prec@5 82.031 (75.811)
Epoch: [56][8660/14090]	Time 0.751 (0.751)	Data 0.001 (0.002)	Loss 2.3445 (2.1649)	Prec@1 45.312 (45.242)	Prec@5 75.781 (75.813)
Epoch: [56][8670/14090]	Time 0.757 (0.751)	Data 0.001 (0.002)	Loss 2.4732 (2.1649)	Prec@1 35.156 (45.238)	Prec@5 70.312 (75.812)
Epoch: [56][8680/14090]	Time 0.771 (0.751)	Data 0.001 (0.002)	Loss 2.1467 (2.1648)	Prec@1 53.125 (45.240)	Prec@5 75.781 (75.813)
Epoch: [56][8690/14090]	Time 0.736 (0.751)	Data 0.002 (0.002)	Loss 2.0510 (2.1649)	Prec@1 50.781 (45.241)	Prec@5 74.219 (75.812)
Epoch: [56][8700/14090]	Time 0.756 (0.751)	Data 0.001 (0.002)	Loss 2.2611 (2.1648)	Prec@1 41.406 (45.242)	Prec@5 74.219 (75.814)
Epoch: [56][8710/14090]	Time 0.740 (0.751)	Data 0.001 (0.002)	Loss 2.0380 (2.1648)	Prec@1 46.094 (45.240)	Prec@5 78.125 (75.816)
Epoch: [56][8720/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 2.3018 (2.1648)	Prec@1 42.188 (45.239)	Prec@5 73.438 (75.816)
Epoch: [56][8730/14090]	Time 0.742 (0.751)	Data 0.001 (0.002)	Loss 1.9580 (2.1649)	Prec@1 50.000 (45.238)	Prec@5 79.688 (75.812)
Epoch: [56][8740/14090]	Time 0.756 (0.751)	Data 0.001 (0.002)	Loss 2.3039 (2.1651)	Prec@1 39.062 (45.234)	Prec@5 77.344 (75.810)
Epoch: [56][8750/14090]	Time 0.756 (0.751)	Data 0.001 (0.002)	Loss 2.1899 (2.1651)	Prec@1 44.531 (45.234)	Prec@5 75.781 (75.810)
Epoch: [56][8760/14090]	Time 0.736 (0.751)	Data 0.002 (0.002)	Loss 2.1179 (2.1652)	Prec@1 42.188 (45.232)	Prec@5 75.000 (75.807)
Epoch: [56][8770/14090]	Time 0.766 (0.751)	Data 0.001 (0.002)	Loss 2.1549 (2.1651)	Prec@1 43.750 (45.235)	Prec@5 76.562 (75.807)
Epoch: [56][8780/14090]	Time 0.753 (0.751)	Data 0.001 (0.002)	Loss 2.1107 (2.1651)	Prec@1 44.531 (45.235)	Prec@5 75.781 (75.807)
Epoch: [56][8790/14090]	Time 0.763 (0.751)	Data 0.001 (0.002)	Loss 2.2916 (2.1651)	Prec@1 47.656 (45.237)	Prec@5 70.312 (75.806)
Epoch: [56][8800/14090]	Time 0.743 (0.751)	Data 0.001 (0.002)	Loss 2.2014 (2.1652)	Prec@1 42.969 (45.234)	Prec@5 76.562 (75.805)
Epoch: [56][8810/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 2.1349 (2.1653)	Prec@1 46.094 (45.234)	Prec@5 74.219 (75.802)
Epoch: [56][8820/14090]	Time 0.765 (0.751)	Data 0.001 (0.002)	Loss 1.7807 (2.1651)	Prec@1 53.125 (45.238)	Prec@5 82.031 (75.805)
Epoch: [56][8830/14090]	Time 0.763 (0.751)	Data 0.002 (0.002)	Loss 1.9692 (2.1651)	Prec@1 50.781 (45.237)	Prec@5 80.469 (75.807)
Epoch: [56][8840/14090]	Time 0.759 (0.751)	Data 0.001 (0.002)	Loss 2.0131 (2.1650)	Prec@1 48.438 (45.240)	Prec@5 82.031 (75.809)
Epoch: [56][8850/14090]	Time 0.765 (0.751)	Data 0.001 (0.002)	Loss 2.2435 (2.1650)	Prec@1 42.188 (45.238)	Prec@5 77.344 (75.809)
Epoch: [56][8860/14090]	Time 0.766 (0.751)	Data 0.001 (0.002)	Loss 2.4029 (2.1651)	Prec@1 35.156 (45.235)	Prec@5 74.219 (75.809)
Epoch: [56][8870/14090]	Time 0.751 (0.751)	Data 0.001 (0.002)	Loss 1.8929 (2.1651)	Prec@1 51.562 (45.236)	Prec@5 80.469 (75.810)
Epoch: [56][8880/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 2.0031 (2.1650)	Prec@1 42.969 (45.234)	Prec@5 79.688 (75.811)
Epoch: [56][8890/14090]	Time 0.748 (0.751)	Data 0.001 (0.002)	Loss 2.1943 (2.1651)	Prec@1 40.625 (45.231)	Prec@5 76.562 (75.811)
Epoch: [56][8900/14090]	Time 0.754 (0.751)	Data 0.002 (0.002)	Loss 2.2232 (2.1651)	Prec@1 43.750 (45.231)	Prec@5 71.094 (75.811)
Epoch: [56][8910/14090]	Time 0.759 (0.751)	Data 0.001 (0.002)	Loss 2.1082 (2.1652)	Prec@1 51.562 (45.230)	Prec@5 74.219 (75.810)
Epoch: [56][8920/14090]	Time 0.745 (0.751)	Data 0.001 (0.002)	Loss 2.0728 (2.1651)	Prec@1 44.531 (45.231)	Prec@5 81.250 (75.812)
Epoch: [56][8930/14090]	Time 0.724 (0.751)	Data 0.001 (0.002)	Loss 2.0714 (2.1651)	Prec@1 51.562 (45.230)	Prec@5 77.344 (75.812)
Epoch: [56][8940/14090]	Time 0.758 (0.751)	Data 0.001 (0.002)	Loss 2.2104 (2.1651)	Prec@1 40.625 (45.230)	Prec@5 74.219 (75.812)
Epoch: [56][8950/14090]	Time 0.764 (0.751)	Data 0.001 (0.002)	Loss 2.0732 (2.1651)	Prec@1 47.656 (45.231)	Prec@5 77.344 (75.812)
Epoch: [56][8960/14090]	Time 0.775 (0.751)	Data 0.001 (0.002)	Loss 2.0883 (2.1650)	Prec@1 42.969 (45.231)	Prec@5 78.906 (75.811)
Epoch: [56][8970/14090]	Time 0.736 (0.751)	Data 0.001 (0.002)	Loss 1.9176 (2.1650)	Prec@1 51.562 (45.233)	Prec@5 78.906 (75.810)
Epoch: [56][8980/14090]	Time 0.736 (0.751)	Data 0.001 (0.002)	Loss 1.9884 (2.1649)	Prec@1 44.531 (45.235)	Prec@5 79.688 (75.812)
Epoch: [56][8990/14090]	Time 0.734 (0.751)	Data 0.001 (0.002)	Loss 2.5417 (2.1651)	Prec@1 38.281 (45.232)	Prec@5 66.406 (75.808)
Epoch: [56][9000/14090]	Time 0.732 (0.751)	Data 0.001 (0.002)	Loss 2.1948 (2.1652)	Prec@1 46.094 (45.231)	Prec@5 76.562 (75.807)
Epoch: [56][9010/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 2.3173 (2.1652)	Prec@1 42.188 (45.231)	Prec@5 74.219 (75.808)
Epoch: [56][9020/14090]	Time 0.733 (0.751)	Data 0.001 (0.002)	Loss 2.1210 (2.1652)	Prec@1 46.094 (45.230)	Prec@5 78.906 (75.807)
Epoch: [56][9030/14090]	Time 0.760 (0.751)	Data 0.001 (0.002)	Loss 2.1536 (2.1652)	Prec@1 44.531 (45.230)	Prec@5 72.656 (75.807)
Epoch: [56][9040/14090]	Time 0.757 (0.751)	Data 0.002 (0.002)	Loss 2.1426 (2.1652)	Prec@1 47.656 (45.229)	Prec@5 74.219 (75.807)
Epoch: [56][9050/14090]	Time 0.758 (0.751)	Data 0.001 (0.002)	Loss 2.1543 (2.1652)	Prec@1 47.656 (45.229)	Prec@5 75.781 (75.807)
Epoch: [56][9060/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 2.1068 (2.1652)	Prec@1 47.656 (45.229)	Prec@5 75.000 (75.808)
Epoch: [56][9070/14090]	Time 0.752 (0.751)	Data 0.001 (0.002)	Loss 2.0948 (2.1653)	Prec@1 44.531 (45.228)	Prec@5 78.125 (75.806)
Epoch: [56][9080/14090]	Time 0.756 (0.751)	Data 0.001 (0.002)	Loss 2.2969 (2.1653)	Prec@1 40.625 (45.229)	Prec@5 75.000 (75.808)
Epoch: [56][9090/14090]	Time 0.727 (0.751)	Data 0.001 (0.002)	Loss 2.4187 (2.1654)	Prec@1 39.062 (45.226)	Prec@5 74.219 (75.807)
Epoch: [56][9100/14090]	Time 0.757 (0.751)	Data 0.001 (0.002)	Loss 2.3144 (2.1654)	Prec@1 41.406 (45.226)	Prec@5 76.562 (75.808)
Epoch: [56][9110/14090]	Time 0.750 (0.751)	Data 0.002 (0.002)	Loss 2.1213 (2.1654)	Prec@1 47.656 (45.225)	Prec@5 78.125 (75.808)
Epoch: [56][9120/14090]	Time 0.750 (0.751)	Data 0.001 (0.002)	Loss 2.0444 (2.1654)	Prec@1 43.750 (45.227)	Prec@5 79.688 (75.809)
Epoch: [56][9130/14090]	Time 0.751 (0.751)	Data 0.001 (0.002)	Loss 2.2126 (2.1653)	Prec@1 45.312 (45.228)	Prec@5 73.438 (75.810)
Epoch: [56][9140/14090]	Time 0.752 (0.751)	Data 0.001 (0.002)	Loss 2.1084 (2.1653)	Prec@1 50.781 (45.229)	Prec@5 74.219 (75.810)
Epoch: [56][9150/14090]	Time 0.734 (0.751)	Data 0.001 (0.002)	Loss 2.0061 (2.1653)	Prec@1 46.875 (45.229)	Prec@5 76.562 (75.810)
Epoch: [56][9160/14090]	Time 0.760 (0.751)	Data 0.001 (0.002)	Loss 2.2078 (2.1654)	Prec@1 48.438 (45.228)	Prec@5 75.781 (75.808)
Epoch: [56][9170/14090]	Time 0.730 (0.751)	Data 0.001 (0.002)	Loss 1.8323 (2.1653)	Prec@1 55.469 (45.229)	Prec@5 80.469 (75.811)
Epoch: [56][9180/14090]	Time 0.757 (0.751)	Data 0.002 (0.002)	Loss 2.2426 (2.1654)	Prec@1 43.750 (45.228)	Prec@5 75.781 (75.811)
Epoch: [56][9190/14090]	Time 0.774 (0.751)	Data 0.002 (0.002)	Loss 1.9352 (2.1654)	Prec@1 41.406 (45.227)	Prec@5 81.250 (75.809)
Epoch: [56][9200/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 1.8731 (2.1655)	Prec@1 54.688 (45.228)	Prec@5 82.812 (75.810)
Epoch: [56][9210/14090]	Time 0.757 (0.751)	Data 0.001 (0.002)	Loss 2.1791 (2.1655)	Prec@1 43.750 (45.227)	Prec@5 72.656 (75.809)
Epoch: [56][9220/14090]	Time 0.768 (0.751)	Data 0.001 (0.002)	Loss 1.9410 (2.1655)	Prec@1 53.906 (45.224)	Prec@5 78.125 (75.807)
Epoch: [56][9230/14090]	Time 0.764 (0.751)	Data 0.002 (0.002)	Loss 2.0504 (2.1656)	Prec@1 43.750 (45.222)	Prec@5 76.562 (75.807)
Epoch: [56][9240/14090]	Time 0.752 (0.751)	Data 0.001 (0.002)	Loss 2.1347 (2.1656)	Prec@1 44.531 (45.220)	Prec@5 74.219 (75.806)
Epoch: [56][9250/14090]	Time 0.759 (0.751)	Data 0.002 (0.002)	Loss 1.9325 (2.1655)	Prec@1 46.094 (45.219)	Prec@5 79.688 (75.809)
Epoch: [56][9260/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 2.2070 (2.1655)	Prec@1 42.188 (45.218)	Prec@5 74.219 (75.808)
Epoch: [56][9270/14090]	Time 0.768 (0.751)	Data 0.001 (0.002)	Loss 2.3530 (2.1655)	Prec@1 47.656 (45.219)	Prec@5 73.438 (75.808)
Epoch: [56][9280/14090]	Time 0.759 (0.751)	Data 0.001 (0.002)	Loss 2.3312 (2.1655)	Prec@1 41.406 (45.217)	Prec@5 69.531 (75.808)
Epoch: [56][9290/14090]	Time 0.735 (0.751)	Data 0.001 (0.002)	Loss 2.0008 (2.1655)	Prec@1 50.781 (45.216)	Prec@5 77.344 (75.808)
Epoch: [56][9300/14090]	Time 0.774 (0.751)	Data 0.001 (0.002)	Loss 2.1696 (2.1656)	Prec@1 46.094 (45.215)	Prec@5 75.781 (75.808)
Epoch: [56][9310/14090]	Time 0.770 (0.751)	Data 0.001 (0.002)	Loss 2.2487 (2.1656)	Prec@1 43.750 (45.216)	Prec@5 77.344 (75.807)
Epoch: [56][9320/14090]	Time 0.730 (0.751)	Data 0.002 (0.002)	Loss 2.2148 (2.1657)	Prec@1 39.844 (45.214)	Prec@5 78.906 (75.807)
Epoch: [56][9330/14090]	Time 0.767 (0.751)	Data 0.001 (0.002)	Loss 2.1588 (2.1657)	Prec@1 43.750 (45.214)	Prec@5 76.562 (75.807)
Epoch: [56][9340/14090]	Time 0.738 (0.751)	Data 0.001 (0.002)	Loss 2.4010 (2.1658)	Prec@1 39.844 (45.212)	Prec@5 69.531 (75.807)
Epoch: [56][9350/14090]	Time 0.756 (0.751)	Data 0.001 (0.002)	Loss 2.1903 (2.1658)	Prec@1 45.312 (45.211)	Prec@5 75.000 (75.806)
Epoch: [56][9360/14090]	Time 0.749 (0.751)	Data 0.001 (0.002)	Loss 2.1133 (2.1659)	Prec@1 50.781 (45.209)	Prec@5 75.000 (75.805)
Epoch: [56][9370/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 2.2203 (2.1659)	Prec@1 41.406 (45.210)	Prec@5 78.125 (75.808)
Epoch: [56][9380/14090]	Time 0.757 (0.751)	Data 0.001 (0.002)	Loss 1.8851 (2.1659)	Prec@1 51.562 (45.210)	Prec@5 75.781 (75.808)
Epoch: [56][9390/14090]	Time 0.759 (0.751)	Data 0.002 (0.002)	Loss 2.0417 (2.1659)	Prec@1 53.125 (45.210)	Prec@5 77.344 (75.808)
Epoch: [56][9400/14090]	Time 0.769 (0.751)	Data 0.001 (0.002)	Loss 2.0610 (2.1659)	Prec@1 44.531 (45.210)	Prec@5 75.781 (75.806)
Epoch: [56][9410/14090]	Time 0.746 (0.751)	Data 0.001 (0.002)	Loss 2.0559 (2.1660)	Prec@1 49.219 (45.209)	Prec@5 78.906 (75.805)
Epoch: [56][9420/14090]	Time 0.735 (0.751)	Data 0.001 (0.002)	Loss 2.2826 (2.1660)	Prec@1 42.969 (45.207)	Prec@5 72.656 (75.803)
Epoch: [56][9430/14090]	Time 0.737 (0.751)	Data 0.001 (0.002)	Loss 2.2610 (2.1660)	Prec@1 39.844 (45.205)	Prec@5 77.344 (75.804)
Epoch: [56][9440/14090]	Time 0.745 (0.751)	Data 0.001 (0.002)	Loss 2.2560 (2.1661)	Prec@1 39.844 (45.204)	Prec@5 77.344 (75.803)
Epoch: [56][9450/14090]	Time 0.735 (0.751)	Data 0.001 (0.002)	Loss 2.3625 (2.1661)	Prec@1 42.188 (45.203)	Prec@5 71.875 (75.801)
Epoch: [56][9460/14090]	Time 0.761 (0.751)	Data 0.002 (0.002)	Loss 2.0066 (2.1660)	Prec@1 46.094 (45.205)	Prec@5 75.000 (75.801)
Epoch: [56][9470/14090]	Time 0.756 (0.751)	Data 0.001 (0.002)	Loss 2.2041 (2.1660)	Prec@1 46.875 (45.208)	Prec@5 74.219 (75.802)
Epoch: [56][9480/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 1.9310 (2.1659)	Prec@1 50.781 (45.209)	Prec@5 80.469 (75.804)
Epoch: [56][9490/14090]	Time 0.781 (0.751)	Data 0.001 (0.002)	Loss 2.2093 (2.1660)	Prec@1 47.656 (45.207)	Prec@5 73.438 (75.803)
Epoch: [56][9500/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 2.1758 (2.1660)	Prec@1 35.938 (45.206)	Prec@5 78.906 (75.804)
Epoch: [56][9510/14090]	Time 0.750 (0.751)	Data 0.001 (0.002)	Loss 2.0441 (2.1659)	Prec@1 50.781 (45.208)	Prec@5 77.344 (75.806)
Epoch: [56][9520/14090]	Time 0.756 (0.751)	Data 0.001 (0.002)	Loss 1.8901 (2.1660)	Prec@1 47.656 (45.206)	Prec@5 78.906 (75.804)
Epoch: [56][9530/14090]	Time 0.746 (0.751)	Data 0.002 (0.002)	Loss 2.3297 (2.1661)	Prec@1 43.750 (45.206)	Prec@5 74.219 (75.803)
Epoch: [56][9540/14090]	Time 0.750 (0.751)	Data 0.001 (0.002)	Loss 2.1993 (2.1661)	Prec@1 43.750 (45.206)	Prec@5 75.781 (75.803)
Epoch: [56][9550/14090]	Time 0.748 (0.751)	Data 0.001 (0.002)	Loss 1.9613 (2.1662)	Prec@1 53.906 (45.205)	Prec@5 77.344 (75.802)
Epoch: [56][9560/14090]	Time 0.769 (0.751)	Data 0.001 (0.002)	Loss 2.0338 (2.1661)	Prec@1 45.312 (45.204)	Prec@5 77.344 (75.801)
Epoch: [56][9570/14090]	Time 0.759 (0.751)	Data 0.001 (0.002)	Loss 2.3111 (2.1661)	Prec@1 50.000 (45.205)	Prec@5 72.656 (75.803)
Epoch: [56][9580/14090]	Time 0.724 (0.751)	Data 0.001 (0.002)	Loss 2.3085 (2.1662)	Prec@1 44.531 (45.203)	Prec@5 76.562 (75.801)
Epoch: [56][9590/14090]	Time 0.748 (0.751)	Data 0.001 (0.002)	Loss 2.5076 (2.1662)	Prec@1 36.719 (45.202)	Prec@5 74.219 (75.803)
Epoch: [56][9600/14090]	Time 0.752 (0.751)	Data 0.002 (0.002)	Loss 2.0835 (2.1663)	Prec@1 48.438 (45.202)	Prec@5 69.531 (75.803)
Epoch: [56][9610/14090]	Time 0.752 (0.751)	Data 0.001 (0.002)	Loss 2.3082 (2.1663)	Prec@1 42.188 (45.202)	Prec@5 74.219 (75.802)
Epoch: [56][9620/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 2.3566 (2.1664)	Prec@1 37.500 (45.200)	Prec@5 71.094 (75.799)
Epoch: [56][9630/14090]	Time 0.752 (0.751)	Data 0.001 (0.002)	Loss 2.2827 (2.1664)	Prec@1 37.500 (45.197)	Prec@5 77.344 (75.799)
Epoch: [56][9640/14090]	Time 0.771 (0.751)	Data 0.001 (0.002)	Loss 2.3508 (2.1665)	Prec@1 39.062 (45.196)	Prec@5 74.219 (75.799)
Epoch: [56][9650/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 2.0996 (2.1664)	Prec@1 39.844 (45.198)	Prec@5 75.000 (75.799)
Epoch: [56][9660/14090]	Time 0.732 (0.751)	Data 0.001 (0.002)	Loss 2.3177 (2.1664)	Prec@1 38.281 (45.198)	Prec@5 68.750 (75.800)
Epoch: [56][9670/14090]	Time 0.780 (0.751)	Data 0.002 (0.002)	Loss 2.2652 (2.1665)	Prec@1 43.750 (45.197)	Prec@5 73.438 (75.798)
Epoch: [56][9680/14090]	Time 0.733 (0.751)	Data 0.001 (0.002)	Loss 2.1121 (2.1665)	Prec@1 46.094 (45.198)	Prec@5 75.000 (75.798)
Epoch: [56][9690/14090]	Time 0.778 (0.751)	Data 0.001 (0.002)	Loss 1.9723 (2.1665)	Prec@1 45.312 (45.196)	Prec@5 77.344 (75.798)
Epoch: [56][9700/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 2.0034 (2.1665)	Prec@1 46.094 (45.195)	Prec@5 77.344 (75.796)
Epoch: [56][9710/14090]	Time 0.745 (0.751)	Data 0.001 (0.002)	Loss 2.0710 (2.1666)	Prec@1 46.094 (45.194)	Prec@5 78.125 (75.796)
Epoch: [56][9720/14090]	Time 0.748 (0.751)	Data 0.001 (0.002)	Loss 2.2173 (2.1666)	Prec@1 46.094 (45.193)	Prec@5 68.750 (75.796)
Epoch: [56][9730/14090]	Time 0.764 (0.751)	Data 0.001 (0.002)	Loss 2.0704 (2.1666)	Prec@1 50.781 (45.192)	Prec@5 73.438 (75.797)
Epoch: [56][9740/14090]	Time 0.755 (0.751)	Data 0.002 (0.002)	Loss 2.1612 (2.1666)	Prec@1 46.094 (45.192)	Prec@5 76.562 (75.798)
Epoch: [56][9750/14090]	Time 0.738 (0.751)	Data 0.001 (0.002)	Loss 2.1163 (2.1666)	Prec@1 42.188 (45.193)	Prec@5 77.344 (75.799)
Epoch: [56][9760/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 2.0544 (2.1666)	Prec@1 45.312 (45.192)	Prec@5 75.781 (75.798)
Epoch: [56][9770/14090]	Time 0.753 (0.751)	Data 0.001 (0.002)	Loss 2.3487 (2.1667)	Prec@1 41.406 (45.191)	Prec@5 70.312 (75.796)
Epoch: [56][9780/14090]	Time 0.756 (0.751)	Data 0.001 (0.002)	Loss 2.1105 (2.1667)	Prec@1 44.531 (45.192)	Prec@5 72.656 (75.796)
Epoch: [56][9790/14090]	Time 0.760 (0.751)	Data 0.001 (0.002)	Loss 1.9738 (2.1667)	Prec@1 50.000 (45.192)	Prec@5 79.688 (75.796)
Epoch: [56][9800/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 2.1766 (2.1667)	Prec@1 39.844 (45.190)	Prec@5 77.344 (75.795)
Epoch: [56][9810/14090]	Time 0.756 (0.751)	Data 0.002 (0.002)	Loss 2.4326 (2.1668)	Prec@1 42.188 (45.191)	Prec@5 71.094 (75.794)
Epoch: [56][9820/14090]	Time 0.759 (0.751)	Data 0.001 (0.002)	Loss 2.3646 (2.1667)	Prec@1 41.406 (45.191)	Prec@5 68.750 (75.794)
Epoch: [56][9830/14090]	Time 0.760 (0.751)	Data 0.001 (0.002)	Loss 2.2368 (2.1668)	Prec@1 41.406 (45.187)	Prec@5 77.344 (75.792)
Epoch: [56][9840/14090]	Time 0.752 (0.751)	Data 0.001 (0.002)	Loss 2.2276 (2.1668)	Prec@1 42.969 (45.186)	Prec@5 71.875 (75.792)
Epoch: [56][9850/14090]	Time 0.734 (0.751)	Data 0.001 (0.002)	Loss 2.2544 (2.1668)	Prec@1 43.750 (45.187)	Prec@5 78.125 (75.794)
Epoch: [56][9860/14090]	Time 0.752 (0.751)	Data 0.001 (0.002)	Loss 2.1986 (2.1667)	Prec@1 42.188 (45.186)	Prec@5 72.656 (75.795)
Epoch: [56][9870/14090]	Time 0.778 (0.751)	Data 0.001 (0.002)	Loss 2.3199 (2.1666)	Prec@1 42.188 (45.188)	Prec@5 72.656 (75.796)
Epoch: [56][9880/14090]	Time 0.759 (0.751)	Data 0.002 (0.002)	Loss 1.9527 (2.1667)	Prec@1 44.531 (45.187)	Prec@5 85.938 (75.795)
Epoch: [56][9890/14090]	Time 0.729 (0.751)	Data 0.001 (0.002)	Loss 2.4291 (2.1667)	Prec@1 43.750 (45.187)	Prec@5 67.969 (75.796)
Epoch: [56][9900/14090]	Time 0.742 (0.751)	Data 0.001 (0.002)	Loss 2.1171 (2.1667)	Prec@1 44.531 (45.186)	Prec@5 81.250 (75.796)
Epoch: [56][9910/14090]	Time 0.782 (0.751)	Data 0.001 (0.002)	Loss 1.9202 (2.1668)	Prec@1 50.000 (45.186)	Prec@5 81.250 (75.796)
Epoch: [56][9920/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 2.0402 (2.1667)	Prec@1 50.000 (45.187)	Prec@5 77.344 (75.798)
Epoch: [56][9930/14090]	Time 0.738 (0.751)	Data 0.001 (0.002)	Loss 2.1674 (2.1668)	Prec@1 48.438 (45.186)	Prec@5 74.219 (75.798)
Epoch: [56][9940/14090]	Time 0.724 (0.751)	Data 0.001 (0.002)	Loss 2.1097 (2.1668)	Prec@1 46.094 (45.184)	Prec@5 77.344 (75.797)
Epoch: [56][9950/14090]	Time 0.745 (0.751)	Data 0.002 (0.002)	Loss 2.0060 (2.1668)	Prec@1 46.875 (45.183)	Prec@5 75.781 (75.797)
Epoch: [56][9960/14090]	Time 0.729 (0.751)	Data 0.001 (0.002)	Loss 2.2934 (2.1669)	Prec@1 42.188 (45.181)	Prec@5 72.656 (75.794)
Epoch: [56][9970/14090]	Time 0.735 (0.751)	Data 0.001 (0.002)	Loss 2.2127 (2.1670)	Prec@1 46.094 (45.180)	Prec@5 75.000 (75.794)
Epoch: [56][9980/14090]	Time 0.745 (0.751)	Data 0.001 (0.002)	Loss 2.2164 (2.1670)	Prec@1 40.625 (45.179)	Prec@5 76.562 (75.794)
Epoch: [56][9990/14090]	Time 0.779 (0.751)	Data 0.001 (0.002)	Loss 2.3567 (2.1670)	Prec@1 39.844 (45.180)	Prec@5 70.312 (75.794)
Epoch: [56][10000/14090]	Time 0.756 (0.751)	Data 0.001 (0.002)	Loss 2.5295 (2.1671)	Prec@1 35.938 (45.180)	Prec@5 70.312 (75.794)
Epoch: [56][10010/14090]	Time 0.751 (0.751)	Data 0.001 (0.002)	Loss 2.3698 (2.1671)	Prec@1 42.188 (45.179)	Prec@5 69.531 (75.791)
Epoch: [56][10020/14090]	Time 0.747 (0.751)	Data 0.002 (0.002)	Loss 2.6589 (2.1672)	Prec@1 40.625 (45.177)	Prec@5 70.312 (75.789)
Epoch: [56][10030/14090]	Time 0.763 (0.751)	Data 0.001 (0.002)	Loss 2.5009 (2.1673)	Prec@1 42.188 (45.175)	Prec@5 71.094 (75.787)
Epoch: [56][10040/14090]	Time 0.756 (0.751)	Data 0.001 (0.002)	Loss 2.1635 (2.1673)	Prec@1 43.750 (45.174)	Prec@5 77.344 (75.787)
Epoch: [56][10050/14090]	Time 0.744 (0.751)	Data 0.001 (0.002)	Loss 2.3620 (2.1673)	Prec@1 41.406 (45.174)	Prec@5 74.219 (75.787)
Epoch: [56][10060/14090]	Time 0.740 (0.751)	Data 0.001 (0.002)	Loss 2.1194 (2.1673)	Prec@1 43.750 (45.176)	Prec@5 77.344 (75.786)
Epoch: [56][10070/14090]	Time 0.749 (0.751)	Data 0.001 (0.002)	Loss 1.8378 (2.1673)	Prec@1 52.344 (45.176)	Prec@5 79.688 (75.787)
Epoch: [56][10080/14090]	Time 0.740 (0.751)	Data 0.001 (0.002)	Loss 2.6262 (2.1674)	Prec@1 37.500 (45.174)	Prec@5 72.656 (75.786)
Epoch: [56][10090/14090]	Time 0.748 (0.751)	Data 0.002 (0.002)	Loss 2.2143 (2.1675)	Prec@1 46.094 (45.172)	Prec@5 72.656 (75.784)
Epoch: [56][10100/14090]	Time 0.726 (0.751)	Data 0.001 (0.002)	Loss 2.2463 (2.1675)	Prec@1 47.656 (45.172)	Prec@5 74.219 (75.784)
Epoch: [56][10110/14090]	Time 0.761 (0.751)	Data 0.001 (0.002)	Loss 2.1284 (2.1675)	Prec@1 43.750 (45.172)	Prec@5 78.125 (75.784)
Epoch: [56][10120/14090]	Time 0.731 (0.751)	Data 0.001 (0.002)	Loss 2.0193 (2.1675)	Prec@1 45.312 (45.172)	Prec@5 78.125 (75.784)
Epoch: [56][10130/14090]	Time 0.757 (0.751)	Data 0.001 (0.002)	Loss 2.2725 (2.1676)	Prec@1 47.656 (45.171)	Prec@5 72.656 (75.784)
Epoch: [56][10140/14090]	Time 0.756 (0.751)	Data 0.001 (0.002)	Loss 1.7599 (2.1675)	Prec@1 53.906 (45.173)	Prec@5 79.688 (75.785)
Epoch: [56][10150/14090]	Time 0.775 (0.751)	Data 0.001 (0.002)	Loss 2.2616 (2.1676)	Prec@1 41.406 (45.172)	Prec@5 71.094 (75.783)
Epoch: [56][10160/14090]	Time 0.763 (0.751)	Data 0.002 (0.002)	Loss 2.2352 (2.1675)	Prec@1 46.094 (45.173)	Prec@5 75.000 (75.785)
Epoch: [56][10170/14090]	Time 0.737 (0.751)	Data 0.001 (0.002)	Loss 2.2591 (2.1675)	Prec@1 44.531 (45.173)	Prec@5 76.562 (75.785)
Epoch: [56][10180/14090]	Time 0.752 (0.751)	Data 0.001 (0.002)	Loss 2.0394 (2.1675)	Prec@1 50.000 (45.174)	Prec@5 78.125 (75.785)
Epoch: [56][10190/14090]	Time 0.764 (0.751)	Data 0.001 (0.002)	Loss 2.1565 (2.1675)	Prec@1 44.531 (45.174)	Prec@5 76.562 (75.787)
Epoch: [56][10200/14090]	Time 0.773 (0.751)	Data 0.001 (0.002)	Loss 2.2351 (2.1675)	Prec@1 42.969 (45.175)	Prec@5 69.531 (75.788)
Epoch: [56][10210/14090]	Time 0.762 (0.751)	Data 0.001 (0.002)	Loss 1.8831 (2.1675)	Prec@1 49.219 (45.175)	Prec@5 80.469 (75.789)
Epoch: [56][10220/14090]	Time 0.764 (0.751)	Data 0.001 (0.002)	Loss 2.3306 (2.1675)	Prec@1 42.188 (45.174)	Prec@5 70.312 (75.790)
Epoch: [56][10230/14090]	Time 0.766 (0.751)	Data 0.002 (0.002)	Loss 1.9678 (2.1675)	Prec@1 50.781 (45.174)	Prec@5 81.250 (75.790)
Epoch: [56][10240/14090]	Time 0.742 (0.751)	Data 0.001 (0.002)	Loss 2.1684 (2.1675)	Prec@1 45.312 (45.174)	Prec@5 73.438 (75.789)
Epoch: [56][10250/14090]	Time 0.748 (0.751)	Data 0.001 (0.002)	Loss 2.2627 (2.1676)	Prec@1 42.969 (45.172)	Prec@5 75.781 (75.789)
Epoch: [56][10260/14090]	Time 0.742 (0.751)	Data 0.001 (0.002)	Loss 2.2813 (2.1676)	Prec@1 39.844 (45.171)	Prec@5 74.219 (75.789)
Epoch: [56][10270/14090]	Time 0.759 (0.751)	Data 0.001 (0.002)	Loss 2.0999 (2.1676)	Prec@1 48.438 (45.172)	Prec@5 79.688 (75.789)
Epoch: [56][10280/14090]	Time 0.746 (0.751)	Data 0.001 (0.002)	Loss 2.1539 (2.1675)	Prec@1 47.656 (45.174)	Prec@5 75.781 (75.789)
Epoch: [56][10290/14090]	Time 0.757 (0.751)	Data 0.001 (0.002)	Loss 2.1590 (2.1675)	Prec@1 42.188 (45.174)	Prec@5 73.438 (75.790)
Epoch: [56][10300/14090]	Time 0.740 (0.751)	Data 0.001 (0.002)	Loss 1.9377 (2.1676)	Prec@1 50.000 (45.172)	Prec@5 78.906 (75.788)
Epoch: [56][10310/14090]	Time 0.742 (0.751)	Data 0.001 (0.002)	Loss 2.0916 (2.1677)	Prec@1 48.438 (45.171)	Prec@5 78.906 (75.788)
Epoch: [56][10320/14090]	Time 0.736 (0.751)	Data 0.001 (0.002)	Loss 2.1928 (2.1676)	Prec@1 49.219 (45.172)	Prec@5 73.438 (75.789)
Epoch: [56][10330/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 2.4988 (2.1676)	Prec@1 39.062 (45.169)	Prec@5 69.531 (75.788)
Epoch: [56][10340/14090]	Time 0.730 (0.751)	Data 0.001 (0.002)	Loss 1.9004 (2.1676)	Prec@1 55.469 (45.169)	Prec@5 79.688 (75.788)
Epoch: [56][10350/14090]	Time 0.771 (0.751)	Data 0.001 (0.002)	Loss 2.0261 (2.1676)	Prec@1 52.344 (45.172)	Prec@5 77.344 (75.789)
Epoch: [56][10360/14090]	Time 0.763 (0.751)	Data 0.001 (0.002)	Loss 2.2883 (2.1676)	Prec@1 36.719 (45.170)	Prec@5 71.875 (75.789)
Epoch: [56][10370/14090]	Time 0.753 (0.751)	Data 0.002 (0.002)	Loss 2.5080 (2.1677)	Prec@1 39.062 (45.169)	Prec@5 69.531 (75.788)
Epoch: [56][10380/14090]	Time 0.766 (0.751)	Data 0.001 (0.002)	Loss 1.9852 (2.1678)	Prec@1 50.781 (45.167)	Prec@5 78.906 (75.787)
Epoch: [56][10390/14090]	Time 0.751 (0.751)	Data 0.001 (0.002)	Loss 2.0372 (2.1678)	Prec@1 49.219 (45.167)	Prec@5 76.562 (75.787)
Epoch: [56][10400/14090]	Time 0.779 (0.751)	Data 0.001 (0.002)	Loss 1.9964 (2.1678)	Prec@1 46.875 (45.167)	Prec@5 78.906 (75.787)
Epoch: [56][10410/14090]	Time 0.738 (0.751)	Data 0.001 (0.002)	Loss 2.2391 (2.1679)	Prec@1 46.875 (45.167)	Prec@5 75.781 (75.787)
Epoch: [56][10420/14090]	Time 0.760 (0.751)	Data 0.001 (0.002)	Loss 1.9727 (2.1678)	Prec@1 43.750 (45.169)	Prec@5 76.562 (75.789)
Epoch: [56][10430/14090]	Time 0.760 (0.751)	Data 0.001 (0.002)	Loss 2.0748 (2.1678)	Prec@1 46.875 (45.170)	Prec@5 79.688 (75.789)
Epoch: [56][10440/14090]	Time 0.739 (0.751)	Data 0.002 (0.002)	Loss 2.3195 (2.1679)	Prec@1 39.062 (45.168)	Prec@5 71.875 (75.787)
Epoch: [56][10450/14090]	Time 0.736 (0.751)	Data 0.001 (0.002)	Loss 2.0480 (2.1678)	Prec@1 46.094 (45.169)	Prec@5 80.469 (75.787)
Epoch: [56][10460/14090]	Time 0.759 (0.751)	Data 0.001 (0.002)	Loss 2.0989 (2.1678)	Prec@1 45.312 (45.169)	Prec@5 75.781 (75.787)
Epoch: [56][10470/14090]	Time 0.750 (0.751)	Data 0.001 (0.002)	Loss 2.4549 (2.1680)	Prec@1 44.531 (45.167)	Prec@5 69.531 (75.784)
Epoch: [56][10480/14090]	Time 0.763 (0.751)	Data 0.001 (0.002)	Loss 2.0034 (2.1679)	Prec@1 52.344 (45.168)	Prec@5 75.781 (75.784)
Epoch: [56][10490/14090]	Time 0.728 (0.751)	Data 0.001 (0.002)	Loss 2.4013 (2.1680)	Prec@1 41.406 (45.168)	Prec@5 69.531 (75.783)
Epoch: [56][10500/14090]	Time 0.744 (0.751)	Data 0.001 (0.002)	Loss 2.3466 (2.1680)	Prec@1 38.281 (45.167)	Prec@5 72.656 (75.783)
Epoch: [56][10510/14090]	Time 0.747 (0.751)	Data 0.002 (0.002)	Loss 2.2260 (2.1681)	Prec@1 43.750 (45.167)	Prec@5 76.562 (75.782)
Epoch: [56][10520/14090]	Time 0.794 (0.751)	Data 0.001 (0.002)	Loss 2.2981 (2.1681)	Prec@1 42.969 (45.166)	Prec@5 76.562 (75.781)
Epoch: [56][10530/14090]	Time 0.778 (0.751)	Data 0.001 (0.002)	Loss 1.9094 (2.1682)	Prec@1 45.312 (45.164)	Prec@5 81.250 (75.781)
Epoch: [56][10540/14090]	Time 0.750 (0.751)	Data 0.001 (0.002)	Loss 2.0901 (2.1682)	Prec@1 46.094 (45.164)	Prec@5 79.688 (75.782)
Epoch: [56][10550/14090]	Time 0.761 (0.751)	Data 0.001 (0.002)	Loss 2.3232 (2.1681)	Prec@1 39.844 (45.165)	Prec@5 77.344 (75.783)
Epoch: [56][10560/14090]	Time 0.731 (0.751)	Data 0.001 (0.002)	Loss 2.3548 (2.1681)	Prec@1 39.062 (45.168)	Prec@5 72.656 (75.783)
Epoch: [56][10570/14090]	Time 0.730 (0.751)	Data 0.001 (0.002)	Loss 2.0158 (2.1680)	Prec@1 46.094 (45.168)	Prec@5 82.812 (75.785)
Epoch: [56][10580/14090]	Time 0.741 (0.751)	Data 0.002 (0.002)	Loss 2.1903 (2.1680)	Prec@1 42.188 (45.167)	Prec@5 74.219 (75.784)
Epoch: [56][10590/14090]	Time 0.762 (0.751)	Data 0.001 (0.002)	Loss 2.1328 (2.1678)	Prec@1 39.062 (45.171)	Prec@5 79.688 (75.788)
Epoch: [56][10600/14090]	Time 0.746 (0.751)	Data 0.001 (0.002)	Loss 2.2301 (2.1678)	Prec@1 44.531 (45.173)	Prec@5 72.656 (75.788)
Epoch: [56][10610/14090]	Time 0.744 (0.751)	Data 0.001 (0.002)	Loss 2.2349 (2.1678)	Prec@1 42.969 (45.170)	Prec@5 75.000 (75.787)
Epoch: [56][10620/14090]	Time 0.736 (0.751)	Data 0.001 (0.002)	Loss 2.1555 (2.1679)	Prec@1 48.438 (45.169)	Prec@5 75.781 (75.785)
Epoch: [56][10630/14090]	Time 0.723 (0.751)	Data 0.001 (0.002)	Loss 1.9271 (2.1679)	Prec@1 48.438 (45.169)	Prec@5 82.031 (75.786)
Epoch: [56][10640/14090]	Time 0.735 (0.751)	Data 0.001 (0.002)	Loss 1.9769 (2.1678)	Prec@1 47.656 (45.169)	Prec@5 79.688 (75.787)
Epoch: [56][10650/14090]	Time 0.740 (0.751)	Data 0.002 (0.002)	Loss 2.3617 (2.1679)	Prec@1 40.625 (45.167)	Prec@5 71.094 (75.787)
Epoch: [56][10660/14090]	Time 0.758 (0.751)	Data 0.001 (0.002)	Loss 1.8502 (2.1679)	Prec@1 51.562 (45.166)	Prec@5 85.156 (75.787)
Epoch: [56][10670/14090]	Time 0.760 (0.751)	Data 0.001 (0.002)	Loss 2.3446 (2.1679)	Prec@1 41.406 (45.167)	Prec@5 75.781 (75.787)
Epoch: [56][10680/14090]	Time 0.775 (0.751)	Data 0.001 (0.002)	Loss 2.2364 (2.1680)	Prec@1 46.094 (45.165)	Prec@5 75.781 (75.786)
Epoch: [56][10690/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 2.3347 (2.1680)	Prec@1 39.062 (45.164)	Prec@5 72.656 (75.785)
Epoch: [56][10700/14090]	Time 0.746 (0.751)	Data 0.001 (0.002)	Loss 2.4034 (2.1681)	Prec@1 41.406 (45.162)	Prec@5 72.656 (75.783)
Epoch: [56][10710/14090]	Time 0.733 (0.751)	Data 0.001 (0.002)	Loss 2.0554 (2.1680)	Prec@1 42.969 (45.163)	Prec@5 81.250 (75.786)
Epoch: [56][10720/14090]	Time 0.753 (0.751)	Data 0.002 (0.002)	Loss 2.0754 (2.1680)	Prec@1 50.000 (45.164)	Prec@5 77.344 (75.786)
Epoch: [56][10730/14090]	Time 0.764 (0.751)	Data 0.001 (0.001)	Loss 2.3408 (2.1680)	Prec@1 37.500 (45.164)	Prec@5 73.438 (75.786)
Epoch: [56][10740/14090]	Time 0.764 (0.751)	Data 0.001 (0.001)	Loss 2.3131 (2.1680)	Prec@1 46.094 (45.165)	Prec@5 74.219 (75.786)
Epoch: [56][10750/14090]	Time 0.729 (0.751)	Data 0.001 (0.001)	Loss 2.3020 (2.1680)	Prec@1 47.656 (45.166)	Prec@5 72.656 (75.787)
Epoch: [56][10760/14090]	Time 0.764 (0.751)	Data 0.001 (0.001)	Loss 1.9107 (2.1680)	Prec@1 50.000 (45.167)	Prec@5 78.906 (75.787)
Epoch: [56][10770/14090]	Time 0.761 (0.751)	Data 0.001 (0.001)	Loss 1.9279 (2.1680)	Prec@1 56.250 (45.168)	Prec@5 78.906 (75.786)
Epoch: [56][10780/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 2.0787 (2.1680)	Prec@1 45.312 (45.168)	Prec@5 75.000 (75.785)
Epoch: [56][10790/14090]	Time 0.735 (0.751)	Data 0.002 (0.001)	Loss 1.8729 (2.1679)	Prec@1 50.781 (45.168)	Prec@5 79.688 (75.786)
Epoch: [56][10800/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 2.0881 (2.1680)	Prec@1 46.094 (45.165)	Prec@5 78.125 (75.785)
Epoch: [56][10810/14090]	Time 0.734 (0.751)	Data 0.001 (0.001)	Loss 2.0345 (2.1680)	Prec@1 50.000 (45.162)	Prec@5 81.250 (75.784)
Epoch: [56][10820/14090]	Time 0.741 (0.751)	Data 0.001 (0.001)	Loss 2.3350 (2.1681)	Prec@1 42.969 (45.162)	Prec@5 74.219 (75.783)
Epoch: [56][10830/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 2.2670 (2.1681)	Prec@1 46.094 (45.162)	Prec@5 75.000 (75.785)
Epoch: [56][10840/14090]	Time 0.775 (0.751)	Data 0.001 (0.001)	Loss 2.2057 (2.1681)	Prec@1 38.281 (45.163)	Prec@5 72.656 (75.786)
Epoch: [56][10850/14090]	Time 0.770 (0.751)	Data 0.001 (0.001)	Loss 1.8129 (2.1680)	Prec@1 53.906 (45.163)	Prec@5 82.812 (75.786)
Epoch: [56][10860/14090]	Time 0.740 (0.751)	Data 0.002 (0.001)	Loss 2.4800 (2.1682)	Prec@1 41.406 (45.161)	Prec@5 70.312 (75.783)
Epoch: [56][10870/14090]	Time 0.760 (0.751)	Data 0.001 (0.001)	Loss 1.9889 (2.1682)	Prec@1 46.875 (45.160)	Prec@5 74.219 (75.781)
Epoch: [56][10880/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 2.3120 (2.1682)	Prec@1 42.969 (45.161)	Prec@5 71.875 (75.782)
Epoch: [56][10890/14090]	Time 0.737 (0.751)	Data 0.001 (0.001)	Loss 2.0023 (2.1681)	Prec@1 47.656 (45.164)	Prec@5 76.562 (75.783)
Epoch: [56][10900/14090]	Time 0.725 (0.751)	Data 0.001 (0.001)	Loss 2.2600 (2.1681)	Prec@1 35.938 (45.161)	Prec@5 70.312 (75.783)
Epoch: [56][10910/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 1.9759 (2.1681)	Prec@1 50.000 (45.162)	Prec@5 75.781 (75.783)
Epoch: [56][10920/14090]	Time 0.737 (0.751)	Data 0.001 (0.001)	Loss 2.1582 (2.1681)	Prec@1 49.219 (45.161)	Prec@5 71.875 (75.783)
Epoch: [56][10930/14090]	Time 0.728 (0.751)	Data 0.002 (0.001)	Loss 2.1243 (2.1681)	Prec@1 41.406 (45.161)	Prec@5 75.000 (75.783)
Epoch: [56][10940/14090]	Time 0.759 (0.751)	Data 0.001 (0.001)	Loss 2.0090 (2.1682)	Prec@1 46.094 (45.160)	Prec@5 80.469 (75.783)
Epoch: [56][10950/14090]	Time 0.761 (0.751)	Data 0.001 (0.001)	Loss 2.0185 (2.1682)	Prec@1 46.094 (45.159)	Prec@5 75.781 (75.784)
Epoch: [56][10960/14090]	Time 0.725 (0.751)	Data 0.001 (0.001)	Loss 2.4264 (2.1683)	Prec@1 41.406 (45.159)	Prec@5 71.875 (75.782)
Epoch: [56][10970/14090]	Time 0.731 (0.751)	Data 0.001 (0.001)	Loss 2.1725 (2.1683)	Prec@1 40.625 (45.158)	Prec@5 79.688 (75.781)
Epoch: [56][10980/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 2.1682 (2.1683)	Prec@1 53.125 (45.160)	Prec@5 75.781 (75.781)
Epoch: [56][10990/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 2.2901 (2.1683)	Prec@1 42.188 (45.160)	Prec@5 69.531 (75.780)
Epoch: [56][11000/14090]	Time 0.755 (0.751)	Data 0.002 (0.001)	Loss 2.0317 (2.1683)	Prec@1 43.750 (45.160)	Prec@5 79.688 (75.781)
Epoch: [56][11010/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 2.2898 (2.1684)	Prec@1 43.750 (45.159)	Prec@5 74.219 (75.780)
Epoch: [56][11020/14090]	Time 0.720 (0.751)	Data 0.001 (0.001)	Loss 2.1454 (2.1684)	Prec@1 40.625 (45.158)	Prec@5 78.125 (75.780)
Epoch: [56][11030/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 2.1037 (2.1684)	Prec@1 47.656 (45.158)	Prec@5 76.562 (75.778)
Epoch: [56][11040/14090]	Time 0.757 (0.751)	Data 0.001 (0.001)	Loss 2.3905 (2.1685)	Prec@1 42.188 (45.154)	Prec@5 72.656 (75.777)
Epoch: [56][11050/14090]	Time 0.767 (0.751)	Data 0.001 (0.001)	Loss 2.3042 (2.1686)	Prec@1 43.750 (45.153)	Prec@5 70.312 (75.776)
Epoch: [56][11060/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 2.2610 (2.1685)	Prec@1 43.750 (45.154)	Prec@5 75.781 (75.777)
Epoch: [56][11070/14090]	Time 0.756 (0.751)	Data 0.002 (0.001)	Loss 2.2972 (2.1686)	Prec@1 42.969 (45.153)	Prec@5 75.000 (75.777)
Epoch: [56][11080/14090]	Time 0.741 (0.751)	Data 0.001 (0.001)	Loss 2.1020 (2.1686)	Prec@1 50.781 (45.153)	Prec@5 77.344 (75.777)
Epoch: [56][11090/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 2.3074 (2.1687)	Prec@1 43.750 (45.153)	Prec@5 67.969 (75.774)
Epoch: [56][11100/14090]	Time 0.727 (0.751)	Data 0.001 (0.001)	Loss 2.0944 (2.1687)	Prec@1 46.094 (45.153)	Prec@5 77.344 (75.774)
Epoch: [56][11110/14090]	Time 0.767 (0.751)	Data 0.001 (0.001)	Loss 2.2221 (2.1687)	Prec@1 38.281 (45.151)	Prec@5 75.000 (75.774)
Epoch: [56][11120/14090]	Time 0.757 (0.751)	Data 0.001 (0.001)	Loss 2.2182 (2.1687)	Prec@1 45.312 (45.151)	Prec@5 74.219 (75.775)
Epoch: [56][11130/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 1.9115 (2.1687)	Prec@1 48.438 (45.152)	Prec@5 82.031 (75.777)
Epoch: [56][11140/14090]	Time 0.759 (0.751)	Data 0.002 (0.001)	Loss 1.8973 (2.1687)	Prec@1 50.781 (45.153)	Prec@5 78.125 (75.776)
Epoch: [56][11150/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 1.9869 (2.1687)	Prec@1 46.094 (45.152)	Prec@5 78.125 (75.774)
Epoch: [56][11160/14090]	Time 0.743 (0.751)	Data 0.001 (0.001)	Loss 2.3650 (2.1687)	Prec@1 41.406 (45.151)	Prec@5 72.656 (75.775)
Epoch: [56][11170/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 2.2160 (2.1687)	Prec@1 41.406 (45.151)	Prec@5 72.656 (75.774)
Epoch: [56][11180/14090]	Time 0.768 (0.751)	Data 0.001 (0.001)	Loss 2.4914 (2.1688)	Prec@1 39.844 (45.150)	Prec@5 68.750 (75.773)
Epoch: [56][11190/14090]	Time 0.734 (0.751)	Data 0.001 (0.001)	Loss 2.2534 (2.1688)	Prec@1 42.188 (45.150)	Prec@5 74.219 (75.772)
Epoch: [56][11200/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 2.3455 (2.1689)	Prec@1 36.719 (45.147)	Prec@5 75.000 (75.770)
Epoch: [56][11210/14090]	Time 0.753 (0.751)	Data 0.002 (0.001)	Loss 2.4101 (2.1689)	Prec@1 38.281 (45.145)	Prec@5 70.312 (75.769)
Epoch: [56][11220/14090]	Time 0.734 (0.751)	Data 0.001 (0.001)	Loss 2.1076 (2.1689)	Prec@1 43.750 (45.146)	Prec@5 75.000 (75.770)
Epoch: [56][11230/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 2.1741 (2.1689)	Prec@1 42.969 (45.145)	Prec@5 78.125 (75.769)
Epoch: [56][11240/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 2.1085 (2.1689)	Prec@1 46.875 (45.145)	Prec@5 76.562 (75.769)
Epoch: [56][11250/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 2.1295 (2.1689)	Prec@1 48.438 (45.146)	Prec@5 78.125 (75.770)
Epoch: [56][11260/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 2.2065 (2.1689)	Prec@1 39.062 (45.147)	Prec@5 76.562 (75.769)
Epoch: [56][11270/14090]	Time 0.763 (0.751)	Data 0.001 (0.001)	Loss 2.2129 (2.1688)	Prec@1 41.406 (45.147)	Prec@5 71.094 (75.769)
Epoch: [56][11280/14090]	Time 0.749 (0.751)	Data 0.002 (0.001)	Loss 2.1342 (2.1688)	Prec@1 42.969 (45.146)	Prec@5 80.469 (75.770)
Epoch: [56][11290/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 1.9800 (2.1688)	Prec@1 53.125 (45.148)	Prec@5 79.688 (75.770)
Epoch: [56][11300/14090]	Time 0.740 (0.751)	Data 0.001 (0.001)	Loss 2.0988 (2.1687)	Prec@1 43.750 (45.149)	Prec@5 78.125 (75.771)
Epoch: [56][11310/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 2.3392 (2.1687)	Prec@1 40.625 (45.150)	Prec@5 72.656 (75.771)
Epoch: [56][11320/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 2.0396 (2.1687)	Prec@1 42.969 (45.150)	Prec@5 77.344 (75.771)
Epoch: [56][11330/14090]	Time 0.762 (0.751)	Data 0.001 (0.001)	Loss 2.2127 (2.1687)	Prec@1 44.531 (45.151)	Prec@5 76.562 (75.771)
Epoch: [56][11340/14090]	Time 0.760 (0.751)	Data 0.001 (0.001)	Loss 2.0414 (2.1687)	Prec@1 42.969 (45.150)	Prec@5 77.344 (75.770)
Epoch: [56][11350/14090]	Time 0.755 (0.751)	Data 0.002 (0.001)	Loss 2.1309 (2.1689)	Prec@1 46.094 (45.148)	Prec@5 76.562 (75.768)
Epoch: [56][11360/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 1.9210 (2.1688)	Prec@1 51.562 (45.147)	Prec@5 77.344 (75.769)
Epoch: [56][11370/14090]	Time 0.757 (0.751)	Data 0.001 (0.001)	Loss 2.3035 (2.1688)	Prec@1 42.188 (45.145)	Prec@5 71.875 (75.767)
Epoch: [56][11380/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 1.9642 (2.1688)	Prec@1 43.750 (45.147)	Prec@5 81.250 (75.769)
Epoch: [56][11390/14090]	Time 0.749 (0.751)	Data 0.003 (0.001)	Loss 2.0684 (2.1688)	Prec@1 48.438 (45.147)	Prec@5 75.781 (75.769)
Epoch: [56][11400/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 2.1453 (2.1688)	Prec@1 46.875 (45.146)	Prec@5 76.562 (75.768)
Epoch: [56][11410/14090]	Time 0.761 (0.751)	Data 0.001 (0.001)	Loss 2.1869 (2.1689)	Prec@1 42.969 (45.146)	Prec@5 75.000 (75.769)
Epoch: [56][11420/14090]	Time 0.757 (0.751)	Data 0.002 (0.001)	Loss 2.1387 (2.1689)	Prec@1 48.438 (45.145)	Prec@5 75.000 (75.769)
Epoch: [56][11430/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.1303 (2.1689)	Prec@1 45.312 (45.146)	Prec@5 75.781 (75.770)
Epoch: [56][11440/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 2.0998 (2.1689)	Prec@1 47.656 (45.145)	Prec@5 77.344 (75.770)
Epoch: [56][11450/14090]	Time 0.780 (0.751)	Data 0.001 (0.001)	Loss 2.1385 (2.1690)	Prec@1 43.750 (45.145)	Prec@5 75.781 (75.768)
Epoch: [56][11460/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 2.2055 (2.1690)	Prec@1 49.219 (45.146)	Prec@5 72.656 (75.768)
Epoch: [56][11470/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 1.8814 (2.1689)	Prec@1 47.656 (45.146)	Prec@5 80.469 (75.769)
Epoch: [56][11480/14090]	Time 0.786 (0.751)	Data 0.001 (0.001)	Loss 2.1169 (2.1690)	Prec@1 46.094 (45.145)	Prec@5 73.438 (75.767)
Epoch: [56][11490/14090]	Time 0.754 (0.751)	Data 0.002 (0.001)	Loss 2.4555 (2.1690)	Prec@1 41.406 (45.145)	Prec@5 71.094 (75.767)
Epoch: [56][11500/14090]	Time 0.766 (0.751)	Data 0.001 (0.001)	Loss 2.4381 (2.1691)	Prec@1 40.625 (45.145)	Prec@5 75.000 (75.767)
Epoch: [56][11510/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 2.0346 (2.1691)	Prec@1 49.219 (45.144)	Prec@5 82.812 (75.767)
Epoch: [56][11520/14090]	Time 0.740 (0.751)	Data 0.001 (0.001)	Loss 2.1351 (2.1690)	Prec@1 48.438 (45.145)	Prec@5 75.000 (75.768)
Epoch: [56][11530/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 2.0925 (2.1690)	Prec@1 41.406 (45.144)	Prec@5 79.688 (75.769)
Epoch: [56][11540/14090]	Time 0.743 (0.751)	Data 0.001 (0.001)	Loss 2.5345 (2.1691)	Prec@1 32.812 (45.142)	Prec@5 65.625 (75.769)
Epoch: [56][11550/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 2.2620 (2.1691)	Prec@1 44.531 (45.140)	Prec@5 72.656 (75.768)
Epoch: [56][11560/14090]	Time 0.762 (0.751)	Data 0.002 (0.001)	Loss 2.1563 (2.1691)	Prec@1 44.531 (45.139)	Prec@5 78.906 (75.768)
Epoch: [56][11570/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 2.1435 (2.1691)	Prec@1 42.969 (45.137)	Prec@5 75.000 (75.768)
Epoch: [56][11580/14090]	Time 0.739 (0.751)	Data 0.001 (0.001)	Loss 2.0115 (2.1691)	Prec@1 44.531 (45.137)	Prec@5 77.344 (75.769)
Epoch: [56][11590/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 2.3784 (2.1691)	Prec@1 38.281 (45.136)	Prec@5 70.312 (75.768)
Epoch: [56][11600/14090]	Time 0.721 (0.751)	Data 0.001 (0.001)	Loss 2.1939 (2.1691)	Prec@1 45.312 (45.138)	Prec@5 75.781 (75.768)
Epoch: [56][11610/14090]	Time 0.733 (0.751)	Data 0.001 (0.001)	Loss 2.1709 (2.1690)	Prec@1 50.000 (45.140)	Prec@5 75.781 (75.768)
Epoch: [56][11620/14090]	Time 0.743 (0.751)	Data 0.001 (0.001)	Loss 2.1067 (2.1690)	Prec@1 53.125 (45.143)	Prec@5 76.562 (75.769)
Epoch: [56][11630/14090]	Time 0.752 (0.751)	Data 0.002 (0.001)	Loss 2.1428 (2.1690)	Prec@1 42.188 (45.143)	Prec@5 77.344 (75.768)
Epoch: [56][11640/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 2.2000 (2.1690)	Prec@1 42.188 (45.143)	Prec@5 75.781 (75.767)
Epoch: [56][11650/14090]	Time 0.760 (0.751)	Data 0.001 (0.001)	Loss 2.1299 (2.1690)	Prec@1 41.406 (45.144)	Prec@5 75.781 (75.768)
Epoch: [56][11660/14090]	Time 0.730 (0.751)	Data 0.001 (0.001)	Loss 2.0433 (2.1690)	Prec@1 51.562 (45.144)	Prec@5 74.219 (75.768)
Epoch: [56][11670/14090]	Time 0.759 (0.751)	Data 0.001 (0.001)	Loss 1.7676 (2.1690)	Prec@1 52.344 (45.145)	Prec@5 84.375 (75.769)
Epoch: [56][11680/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 2.3120 (2.1690)	Prec@1 50.000 (45.144)	Prec@5 70.312 (75.770)
Epoch: [56][11690/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 2.2376 (2.1690)	Prec@1 36.719 (45.143)	Prec@5 78.125 (75.770)
Epoch: [56][11700/14090]	Time 0.720 (0.751)	Data 0.002 (0.001)	Loss 2.1687 (2.1690)	Prec@1 46.875 (45.143)	Prec@5 74.219 (75.769)
Epoch: [56][11710/14090]	Time 0.784 (0.751)	Data 0.001 (0.001)	Loss 2.2161 (2.1690)	Prec@1 50.000 (45.142)	Prec@5 73.438 (75.770)
Epoch: [56][11720/14090]	Time 0.719 (0.751)	Data 0.002 (0.001)	Loss 2.0751 (2.1690)	Prec@1 47.656 (45.142)	Prec@5 78.125 (75.771)
Epoch: [56][11730/14090]	Time 0.729 (0.751)	Data 0.001 (0.001)	Loss 2.3768 (2.1690)	Prec@1 37.500 (45.141)	Prec@5 69.531 (75.771)
Epoch: [56][11740/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 2.0356 (2.1689)	Prec@1 46.875 (45.141)	Prec@5 80.469 (75.772)
Epoch: [56][11750/14090]	Time 0.759 (0.751)	Data 0.001 (0.001)	Loss 2.1137 (2.1689)	Prec@1 47.656 (45.140)	Prec@5 78.125 (75.772)
Epoch: [56][11760/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.3419 (2.1690)	Prec@1 46.094 (45.138)	Prec@5 75.000 (75.770)
Epoch: [56][11770/14090]	Time 0.764 (0.751)	Data 0.002 (0.001)	Loss 2.0520 (2.1690)	Prec@1 52.344 (45.140)	Prec@5 78.125 (75.770)
Epoch: [56][11780/14090]	Time 0.718 (0.751)	Data 0.001 (0.001)	Loss 2.4821 (2.1691)	Prec@1 43.750 (45.138)	Prec@5 70.312 (75.769)
Epoch: [56][11790/14090]	Time 0.730 (0.751)	Data 0.001 (0.001)	Loss 2.1109 (2.1691)	Prec@1 45.312 (45.138)	Prec@5 75.781 (75.769)
Epoch: [56][11800/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 1.9062 (2.1691)	Prec@1 50.781 (45.138)	Prec@5 81.250 (75.768)
Epoch: [56][11810/14090]	Time 0.775 (0.751)	Data 0.001 (0.001)	Loss 2.3543 (2.1691)	Prec@1 40.625 (45.136)	Prec@5 69.531 (75.767)
Epoch: [56][11820/14090]	Time 0.764 (0.751)	Data 0.001 (0.001)	Loss 2.1546 (2.1691)	Prec@1 49.219 (45.137)	Prec@5 74.219 (75.767)
Epoch: [56][11830/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 1.9308 (2.1691)	Prec@1 49.219 (45.137)	Prec@5 84.375 (75.768)
Epoch: [56][11840/14090]	Time 0.745 (0.751)	Data 0.002 (0.001)	Loss 2.1187 (2.1691)	Prec@1 42.969 (45.136)	Prec@5 76.562 (75.768)
Epoch: [56][11850/14090]	Time 0.759 (0.751)	Data 0.001 (0.001)	Loss 2.3507 (2.1692)	Prec@1 48.438 (45.135)	Prec@5 71.094 (75.768)
Epoch: [56][11860/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 1.9501 (2.1691)	Prec@1 53.906 (45.136)	Prec@5 81.250 (75.768)
Epoch: [56][11870/14090]	Time 0.767 (0.751)	Data 0.003 (0.001)	Loss 2.0797 (2.1691)	Prec@1 45.312 (45.137)	Prec@5 78.125 (75.768)
Epoch: [56][11880/14090]	Time 0.761 (0.751)	Data 0.001 (0.001)	Loss 2.3279 (2.1691)	Prec@1 46.094 (45.136)	Prec@5 71.875 (75.768)
Epoch: [56][11890/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 2.2077 (2.1692)	Prec@1 47.656 (45.133)	Prec@5 74.219 (75.766)
Epoch: [56][11900/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.6778 (2.1693)	Prec@1 36.719 (45.130)	Prec@5 67.188 (75.763)
Epoch: [56][11910/14090]	Time 0.780 (0.751)	Data 0.002 (0.001)	Loss 2.1612 (2.1693)	Prec@1 42.969 (45.130)	Prec@5 75.781 (75.763)
Epoch: [56][11920/14090]	Time 0.765 (0.751)	Data 0.001 (0.001)	Loss 2.2254 (2.1694)	Prec@1 43.750 (45.130)	Prec@5 74.219 (75.762)
Epoch: [56][11930/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 2.1954 (2.1694)	Prec@1 41.406 (45.129)	Prec@5 76.562 (75.764)
Epoch: [56][11940/14090]	Time 0.766 (0.751)	Data 0.001 (0.001)	Loss 2.1316 (2.1694)	Prec@1 46.094 (45.128)	Prec@5 75.781 (75.762)
Epoch: [56][11950/14090]	Time 0.770 (0.751)	Data 0.001 (0.001)	Loss 2.3927 (2.1694)	Prec@1 37.500 (45.129)	Prec@5 66.406 (75.761)
Epoch: [56][11960/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.1558 (2.1694)	Prec@1 42.969 (45.129)	Prec@5 75.000 (75.760)
Epoch: [56][11970/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 2.1490 (2.1695)	Prec@1 42.188 (45.128)	Prec@5 78.125 (75.759)
Epoch: [56][11980/14090]	Time 0.775 (0.751)	Data 0.002 (0.001)	Loss 2.0126 (2.1694)	Prec@1 50.781 (45.130)	Prec@5 79.688 (75.760)
Epoch: [56][11990/14090]	Time 0.769 (0.751)	Data 0.001 (0.001)	Loss 2.1589 (2.1694)	Prec@1 45.312 (45.130)	Prec@5 76.562 (75.759)
Epoch: [56][12000/14090]	Time 0.728 (0.751)	Data 0.001 (0.001)	Loss 2.3864 (2.1695)	Prec@1 42.188 (45.127)	Prec@5 70.312 (75.758)
Epoch: [56][12010/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 1.8637 (2.1695)	Prec@1 54.688 (45.128)	Prec@5 81.250 (75.758)
Epoch: [56][12020/14090]	Time 0.762 (0.751)	Data 0.001 (0.001)	Loss 2.4960 (2.1696)	Prec@1 39.844 (45.126)	Prec@5 67.188 (75.758)
Epoch: [56][12030/14090]	Time 0.742 (0.751)	Data 0.001 (0.001)	Loss 2.1383 (2.1696)	Prec@1 42.969 (45.124)	Prec@5 79.688 (75.757)
Epoch: [56][12040/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 2.0179 (2.1696)	Prec@1 49.219 (45.125)	Prec@5 77.344 (75.757)
Epoch: [56][12050/14090]	Time 0.759 (0.751)	Data 0.002 (0.001)	Loss 2.1191 (2.1696)	Prec@1 46.094 (45.123)	Prec@5 77.344 (75.755)
Epoch: [56][12060/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 2.4168 (2.1697)	Prec@1 39.844 (45.122)	Prec@5 72.656 (75.755)
Epoch: [56][12070/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 2.1415 (2.1697)	Prec@1 46.094 (45.124)	Prec@5 73.438 (75.755)
Epoch: [56][12080/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 1.9871 (2.1697)	Prec@1 47.656 (45.126)	Prec@5 80.469 (75.755)
Epoch: [56][12090/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 2.5062 (2.1696)	Prec@1 38.281 (45.127)	Prec@5 70.312 (75.756)
Epoch: [56][12100/14090]	Time 0.743 (0.751)	Data 0.001 (0.001)	Loss 2.3680 (2.1696)	Prec@1 36.719 (45.126)	Prec@5 71.094 (75.756)
Epoch: [56][12110/14090]	Time 0.773 (0.751)	Data 0.001 (0.001)	Loss 2.0356 (2.1696)	Prec@1 49.219 (45.126)	Prec@5 74.219 (75.756)
Epoch: [56][12120/14090]	Time 0.752 (0.751)	Data 0.002 (0.001)	Loss 2.0507 (2.1695)	Prec@1 43.750 (45.127)	Prec@5 80.469 (75.756)
Epoch: [56][12130/14090]	Time 0.761 (0.751)	Data 0.001 (0.001)	Loss 2.3495 (2.1696)	Prec@1 38.281 (45.128)	Prec@5 71.094 (75.756)
Epoch: [56][12140/14090]	Time 0.729 (0.751)	Data 0.001 (0.001)	Loss 2.4546 (2.1696)	Prec@1 45.312 (45.129)	Prec@5 73.438 (75.756)
Epoch: [56][12150/14090]	Time 0.731 (0.751)	Data 0.001 (0.001)	Loss 2.3637 (2.1696)	Prec@1 43.750 (45.128)	Prec@5 75.781 (75.757)
Epoch: [56][12160/14090]	Time 0.759 (0.751)	Data 0.001 (0.001)	Loss 2.3665 (2.1696)	Prec@1 45.312 (45.126)	Prec@5 72.656 (75.756)
Epoch: [56][12170/14090]	Time 0.759 (0.751)	Data 0.001 (0.001)	Loss 2.1106 (2.1697)	Prec@1 46.875 (45.127)	Prec@5 82.812 (75.756)
Epoch: [56][12180/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 2.2138 (2.1697)	Prec@1 43.750 (45.128)	Prec@5 73.438 (75.756)
Epoch: [56][12190/14090]	Time 0.753 (0.751)	Data 0.002 (0.001)	Loss 2.3557 (2.1697)	Prec@1 39.844 (45.127)	Prec@5 72.656 (75.754)
Epoch: [56][12200/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 2.0012 (2.1697)	Prec@1 50.781 (45.127)	Prec@5 79.688 (75.754)
Epoch: [56][12210/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 2.2803 (2.1697)	Prec@1 36.719 (45.126)	Prec@5 75.000 (75.754)
Epoch: [56][12220/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 2.2554 (2.1697)	Prec@1 42.969 (45.126)	Prec@5 74.219 (75.755)
Epoch: [56][12230/14090]	Time 0.725 (0.751)	Data 0.001 (0.001)	Loss 2.1166 (2.1697)	Prec@1 46.094 (45.126)	Prec@5 74.219 (75.755)
Epoch: [56][12240/14090]	Time 0.727 (0.751)	Data 0.001 (0.001)	Loss 2.2639 (2.1698)	Prec@1 42.188 (45.126)	Prec@5 75.781 (75.754)
Epoch: [56][12250/14090]	Time 0.760 (0.751)	Data 0.001 (0.001)	Loss 2.1928 (2.1698)	Prec@1 40.625 (45.126)	Prec@5 74.219 (75.753)
Epoch: [56][12260/14090]	Time 0.725 (0.751)	Data 0.002 (0.001)	Loss 2.2631 (2.1697)	Prec@1 46.094 (45.129)	Prec@5 78.906 (75.754)
Epoch: [56][12270/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 2.1988 (2.1698)	Prec@1 44.531 (45.128)	Prec@5 76.562 (75.753)
Epoch: [56][12280/14090]	Time 0.737 (0.751)	Data 0.001 (0.001)	Loss 2.3627 (2.1699)	Prec@1 42.969 (45.128)	Prec@5 69.531 (75.752)
Epoch: [56][12290/14090]	Time 0.761 (0.751)	Data 0.001 (0.001)	Loss 2.5452 (2.1700)	Prec@1 40.625 (45.127)	Prec@5 69.531 (75.749)
Epoch: [56][12300/14090]	Time 0.737 (0.751)	Data 0.001 (0.001)	Loss 2.2044 (2.1699)	Prec@1 42.188 (45.127)	Prec@5 74.219 (75.748)
Epoch: [56][12310/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 1.7209 (2.1700)	Prec@1 60.156 (45.126)	Prec@5 82.812 (75.748)
Epoch: [56][12320/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.1704 (2.1699)	Prec@1 46.094 (45.127)	Prec@5 74.219 (75.748)
Epoch: [56][12330/14090]	Time 0.735 (0.751)	Data 0.002 (0.001)	Loss 2.1782 (2.1700)	Prec@1 45.312 (45.127)	Prec@5 75.000 (75.748)
Epoch: [56][12340/14090]	Time 0.729 (0.751)	Data 0.001 (0.001)	Loss 2.0834 (2.1700)	Prec@1 48.438 (45.126)	Prec@5 75.000 (75.747)
Epoch: [56][12350/14090]	Time 0.770 (0.751)	Data 0.002 (0.001)	Loss 2.1823 (2.1699)	Prec@1 48.438 (45.126)	Prec@5 76.562 (75.747)
Epoch: [56][12360/14090]	Time 0.731 (0.751)	Data 0.001 (0.001)	Loss 2.1457 (2.1699)	Prec@1 46.875 (45.127)	Prec@5 75.781 (75.747)
Epoch: [56][12370/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 2.1202 (2.1700)	Prec@1 41.406 (45.126)	Prec@5 75.781 (75.745)
Epoch: [56][12380/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 2.1417 (2.1699)	Prec@1 46.094 (45.127)	Prec@5 78.906 (75.746)
Epoch: [56][12390/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 1.8353 (2.1699)	Prec@1 51.562 (45.129)	Prec@5 81.250 (75.747)
Epoch: [56][12400/14090]	Time 0.749 (0.751)	Data 0.002 (0.001)	Loss 2.1396 (2.1698)	Prec@1 50.000 (45.128)	Prec@5 75.781 (75.747)
Epoch: [56][12410/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 2.3907 (2.1698)	Prec@1 36.719 (45.130)	Prec@5 71.875 (75.748)
Epoch: [56][12420/14090]	Time 0.775 (0.751)	Data 0.001 (0.001)	Loss 2.1536 (2.1697)	Prec@1 49.219 (45.131)	Prec@5 79.688 (75.749)
Epoch: [56][12430/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 2.3407 (2.1697)	Prec@1 42.969 (45.132)	Prec@5 71.875 (75.750)
Epoch: [56][12440/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.0051 (2.1697)	Prec@1 50.781 (45.132)	Prec@5 78.906 (75.751)
Epoch: [56][12450/14090]	Time 0.761 (0.751)	Data 0.001 (0.001)	Loss 1.9890 (2.1696)	Prec@1 50.000 (45.131)	Prec@5 76.562 (75.752)
Epoch: [56][12460/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 2.4425 (2.1696)	Prec@1 46.094 (45.132)	Prec@5 67.188 (75.751)
Epoch: [56][12470/14090]	Time 0.738 (0.751)	Data 0.002 (0.001)	Loss 2.2341 (2.1697)	Prec@1 42.188 (45.132)	Prec@5 77.344 (75.751)
Epoch: [56][12480/14090]	Time 0.761 (0.751)	Data 0.001 (0.001)	Loss 2.1589 (2.1696)	Prec@1 47.656 (45.132)	Prec@5 75.000 (75.751)
Epoch: [56][12490/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 2.3340 (2.1697)	Prec@1 42.188 (45.132)	Prec@5 67.969 (75.749)
Epoch: [56][12500/14090]	Time 0.739 (0.751)	Data 0.001 (0.001)	Loss 2.0862 (2.1696)	Prec@1 45.312 (45.134)	Prec@5 78.125 (75.750)
Epoch: [56][12510/14090]	Time 0.760 (0.751)	Data 0.001 (0.001)	Loss 2.4806 (2.1697)	Prec@1 40.625 (45.133)	Prec@5 69.531 (75.747)
Epoch: [56][12520/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 2.4591 (2.1697)	Prec@1 42.969 (45.133)	Prec@5 67.969 (75.747)
Epoch: [56][12530/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 1.9848 (2.1697)	Prec@1 51.562 (45.134)	Prec@5 77.344 (75.747)
Epoch: [56][12540/14090]	Time 0.761 (0.751)	Data 0.002 (0.001)	Loss 2.1639 (2.1697)	Prec@1 42.969 (45.134)	Prec@5 77.344 (75.747)
Epoch: [56][12550/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 2.2922 (2.1696)	Prec@1 46.094 (45.135)	Prec@5 75.781 (75.748)
Epoch: [56][12560/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 1.9473 (2.1696)	Prec@1 53.125 (45.135)	Prec@5 78.906 (75.748)
Epoch: [56][12570/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 2.1297 (2.1696)	Prec@1 45.312 (45.135)	Prec@5 81.250 (75.749)
Epoch: [56][12580/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 2.3033 (2.1696)	Prec@1 42.969 (45.135)	Prec@5 71.875 (75.747)
Epoch: [56][12590/14090]	Time 0.731 (0.751)	Data 0.001 (0.001)	Loss 2.2371 (2.1697)	Prec@1 39.844 (45.133)	Prec@5 75.781 (75.747)
Epoch: [56][12600/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 1.8821 (2.1697)	Prec@1 52.344 (45.132)	Prec@5 76.562 (75.746)
Epoch: [56][12610/14090]	Time 0.763 (0.751)	Data 0.002 (0.001)	Loss 2.1094 (2.1697)	Prec@1 42.969 (45.132)	Prec@5 79.688 (75.746)
Epoch: [56][12620/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 2.2076 (2.1697)	Prec@1 44.531 (45.133)	Prec@5 71.094 (75.747)
Epoch: [56][12630/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 1.9758 (2.1697)	Prec@1 49.219 (45.134)	Prec@5 77.344 (75.748)
Epoch: [56][12640/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 2.4521 (2.1697)	Prec@1 45.312 (45.133)	Prec@5 72.656 (75.747)
Epoch: [56][12650/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 2.1205 (2.1696)	Prec@1 46.094 (45.134)	Prec@5 78.906 (75.748)
Epoch: [56][12660/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 2.2899 (2.1697)	Prec@1 41.406 (45.131)	Prec@5 74.219 (75.745)
Epoch: [56][12670/14090]	Time 0.743 (0.751)	Data 0.001 (0.001)	Loss 2.0972 (2.1698)	Prec@1 52.344 (45.131)	Prec@5 75.781 (75.744)
Epoch: [56][12680/14090]	Time 0.758 (0.751)	Data 0.002 (0.001)	Loss 2.3333 (2.1698)	Prec@1 42.969 (45.130)	Prec@5 78.125 (75.744)
Epoch: [56][12690/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 2.2802 (2.1698)	Prec@1 42.188 (45.130)	Prec@5 72.656 (75.743)
Epoch: [56][12700/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 2.2232 (2.1698)	Prec@1 41.406 (45.132)	Prec@5 74.219 (75.743)
Epoch: [56][12710/14090]	Time 0.768 (0.751)	Data 0.001 (0.001)	Loss 2.1929 (2.1699)	Prec@1 41.406 (45.130)	Prec@5 74.219 (75.742)
Epoch: [56][12720/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 2.5013 (2.1699)	Prec@1 35.938 (45.129)	Prec@5 66.406 (75.740)
Epoch: [56][12730/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 2.3667 (2.1699)	Prec@1 40.625 (45.128)	Prec@5 77.344 (75.739)
Epoch: [56][12740/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 2.1350 (2.1699)	Prec@1 50.781 (45.128)	Prec@5 79.688 (75.739)
Epoch: [56][12750/14090]	Time 0.738 (0.751)	Data 0.002 (0.001)	Loss 2.2219 (2.1699)	Prec@1 44.531 (45.126)	Prec@5 80.469 (75.740)
Epoch: [56][12760/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 2.1184 (2.1699)	Prec@1 46.094 (45.127)	Prec@5 71.094 (75.741)
Epoch: [56][12770/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 2.0814 (2.1699)	Prec@1 50.000 (45.127)	Prec@5 78.906 (75.742)
Epoch: [56][12780/14090]	Time 0.740 (0.751)	Data 0.001 (0.001)	Loss 2.1120 (2.1698)	Prec@1 46.094 (45.127)	Prec@5 80.469 (75.745)
Epoch: [56][12790/14090]	Time 0.770 (0.751)	Data 0.001 (0.001)	Loss 2.1252 (2.1698)	Prec@1 47.656 (45.127)	Prec@5 79.688 (75.745)
Epoch: [56][12800/14090]	Time 0.725 (0.751)	Data 0.001 (0.001)	Loss 2.2389 (2.1698)	Prec@1 43.750 (45.128)	Prec@5 76.562 (75.746)
Epoch: [56][12810/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 2.2197 (2.1698)	Prec@1 46.875 (45.128)	Prec@5 75.000 (75.744)
Epoch: [56][12820/14090]	Time 0.756 (0.751)	Data 0.002 (0.001)	Loss 1.7158 (2.1698)	Prec@1 56.250 (45.128)	Prec@5 82.812 (75.744)
Epoch: [56][12830/14090]	Time 0.759 (0.751)	Data 0.001 (0.001)	Loss 2.3979 (2.1698)	Prec@1 39.062 (45.128)	Prec@5 71.875 (75.744)
Epoch: [56][12840/14090]	Time 0.740 (0.751)	Data 0.001 (0.001)	Loss 2.1640 (2.1698)	Prec@1 46.875 (45.129)	Prec@5 79.688 (75.744)
Epoch: [56][12850/14090]	Time 0.724 (0.751)	Data 0.001 (0.001)	Loss 1.9401 (2.1698)	Prec@1 53.125 (45.129)	Prec@5 79.688 (75.743)
Epoch: [56][12860/14090]	Time 0.762 (0.751)	Data 0.001 (0.001)	Loss 2.1617 (2.1698)	Prec@1 44.531 (45.129)	Prec@5 76.562 (75.744)
Epoch: [56][12870/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 2.0975 (2.1698)	Prec@1 44.531 (45.128)	Prec@5 75.781 (75.744)
Epoch: [56][12880/14090]	Time 0.739 (0.751)	Data 0.002 (0.001)	Loss 2.1222 (2.1698)	Prec@1 46.875 (45.128)	Prec@5 71.094 (75.743)
Epoch: [56][12890/14090]	Time 0.762 (0.751)	Data 0.002 (0.001)	Loss 2.3431 (2.1699)	Prec@1 44.531 (45.127)	Prec@5 73.438 (75.742)
Epoch: [56][12900/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 2.2552 (2.1699)	Prec@1 39.844 (45.126)	Prec@5 76.562 (75.742)
Epoch: [56][12910/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 2.0581 (2.1699)	Prec@1 47.656 (45.126)	Prec@5 77.344 (75.741)
Epoch: [56][12920/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 2.3420 (2.1700)	Prec@1 44.531 (45.125)	Prec@5 74.219 (75.739)
Epoch: [56][12930/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 2.2980 (2.1701)	Prec@1 39.062 (45.123)	Prec@5 71.094 (75.736)
Epoch: [56][12940/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 2.0677 (2.1701)	Prec@1 46.875 (45.123)	Prec@5 75.781 (75.736)
Epoch: [56][12950/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 2.2494 (2.1701)	Prec@1 43.750 (45.123)	Prec@5 72.656 (75.736)
Epoch: [56][12960/14090]	Time 0.741 (0.751)	Data 0.002 (0.001)	Loss 2.3960 (2.1702)	Prec@1 42.188 (45.123)	Prec@5 72.656 (75.735)
Epoch: [56][12970/14090]	Time 0.761 (0.751)	Data 0.001 (0.001)	Loss 2.1743 (2.1702)	Prec@1 46.875 (45.122)	Prec@5 74.219 (75.734)
Epoch: [56][12980/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 2.4629 (2.1703)	Prec@1 39.844 (45.120)	Prec@5 71.094 (75.731)
Epoch: [56][12990/14090]	Time 0.767 (0.751)	Data 0.001 (0.001)	Loss 2.2234 (2.1703)	Prec@1 42.969 (45.122)	Prec@5 71.875 (75.732)
Epoch: [56][13000/14090]	Time 0.766 (0.751)	Data 0.001 (0.001)	Loss 2.2876 (2.1703)	Prec@1 39.062 (45.123)	Prec@5 72.656 (75.732)
Epoch: [56][13010/14090]	Time 0.731 (0.751)	Data 0.001 (0.001)	Loss 1.9406 (2.1703)	Prec@1 44.531 (45.123)	Prec@5 82.031 (75.731)
Epoch: [56][13020/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 2.0182 (2.1702)	Prec@1 50.781 (45.125)	Prec@5 79.688 (75.732)
Epoch: [56][13030/14090]	Time 0.793 (0.751)	Data 0.003 (0.001)	Loss 2.2254 (2.1702)	Prec@1 41.406 (45.125)	Prec@5 77.344 (75.733)
Epoch: [56][13040/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 2.6243 (2.1702)	Prec@1 37.500 (45.124)	Prec@5 63.281 (75.732)
Epoch: [56][13050/14090]	Time 0.770 (0.751)	Data 0.001 (0.001)	Loss 2.4307 (2.1702)	Prec@1 35.938 (45.123)	Prec@5 71.094 (75.731)
Epoch: [56][13060/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 2.1144 (2.1702)	Prec@1 46.875 (45.123)	Prec@5 75.000 (75.732)
Epoch: [56][13070/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.2182 (2.1702)	Prec@1 38.281 (45.123)	Prec@5 71.875 (75.730)
Epoch: [56][13080/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.0514 (2.1702)	Prec@1 46.875 (45.124)	Prec@5 74.219 (75.730)
Epoch: [56][13090/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 2.1868 (2.1701)	Prec@1 46.094 (45.126)	Prec@5 74.219 (75.731)
Epoch: [56][13100/14090]	Time 0.731 (0.751)	Data 0.002 (0.001)	Loss 2.2089 (2.1701)	Prec@1 46.094 (45.126)	Prec@5 77.344 (75.731)
Epoch: [56][13110/14090]	Time 0.767 (0.751)	Data 0.001 (0.001)	Loss 2.2329 (2.1701)	Prec@1 42.188 (45.127)	Prec@5 77.344 (75.731)
Epoch: [56][13120/14090]	Time 0.757 (0.751)	Data 0.003 (0.001)	Loss 2.1959 (2.1701)	Prec@1 48.438 (45.129)	Prec@5 75.781 (75.731)
Epoch: [56][13130/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.0524 (2.1700)	Prec@1 50.781 (45.129)	Prec@5 78.125 (75.732)
Epoch: [56][13140/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 2.1689 (2.1700)	Prec@1 42.969 (45.129)	Prec@5 75.781 (75.733)
Epoch: [56][13150/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 2.2624 (2.1700)	Prec@1 46.875 (45.130)	Prec@5 74.219 (75.732)
Epoch: [56][13160/14090]	Time 0.773 (0.751)	Data 0.001 (0.001)	Loss 2.2847 (2.1701)	Prec@1 45.312 (45.130)	Prec@5 76.562 (75.731)
Epoch: [56][13170/14090]	Time 0.757 (0.751)	Data 0.002 (0.001)	Loss 2.1164 (2.1701)	Prec@1 42.969 (45.129)	Prec@5 78.125 (75.731)
Epoch: [56][13180/14090]	Time 0.733 (0.751)	Data 0.001 (0.001)	Loss 2.4088 (2.1701)	Prec@1 40.625 (45.128)	Prec@5 71.094 (75.731)
Epoch: [56][13190/14090]	Time 0.729 (0.751)	Data 0.001 (0.001)	Loss 2.3352 (2.1701)	Prec@1 47.656 (45.128)	Prec@5 75.000 (75.731)
Epoch: [56][13200/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 2.4177 (2.1701)	Prec@1 40.625 (45.128)	Prec@5 70.312 (75.730)
Epoch: [56][13210/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 2.0032 (2.1702)	Prec@1 47.656 (45.126)	Prec@5 77.344 (75.730)
Epoch: [56][13220/14090]	Time 0.774 (0.751)	Data 0.001 (0.001)	Loss 1.9998 (2.1702)	Prec@1 47.656 (45.127)	Prec@5 78.906 (75.730)
Epoch: [56][13230/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 2.2840 (2.1702)	Prec@1 42.188 (45.126)	Prec@5 72.656 (75.729)
Epoch: [56][13240/14090]	Time 0.761 (0.751)	Data 0.002 (0.001)	Loss 2.4339 (2.1702)	Prec@1 41.406 (45.125)	Prec@5 71.875 (75.729)
Epoch: [56][13250/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 2.0013 (2.1702)	Prec@1 46.094 (45.125)	Prec@5 76.562 (75.728)
Epoch: [56][13260/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 2.1415 (2.1702)	Prec@1 42.188 (45.123)	Prec@5 75.781 (75.727)
Epoch: [56][13270/14090]	Time 0.740 (0.751)	Data 0.001 (0.001)	Loss 2.1083 (2.1702)	Prec@1 46.094 (45.124)	Prec@5 75.000 (75.726)
Epoch: [56][13280/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 2.2499 (2.1702)	Prec@1 47.656 (45.125)	Prec@5 72.656 (75.726)
Epoch: [56][13290/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 2.1618 (2.1702)	Prec@1 46.875 (45.125)	Prec@5 75.000 (75.725)
Epoch: [56][13300/14090]	Time 0.757 (0.751)	Data 0.001 (0.001)	Loss 2.2540 (2.1703)	Prec@1 44.531 (45.126)	Prec@5 72.656 (75.725)
Epoch: [56][13310/14090]	Time 0.758 (0.751)	Data 0.002 (0.001)	Loss 1.9491 (2.1702)	Prec@1 48.438 (45.126)	Prec@5 79.688 (75.726)
Epoch: [56][13320/14090]	Time 0.764 (0.751)	Data 0.001 (0.001)	Loss 2.4197 (2.1702)	Prec@1 39.062 (45.126)	Prec@5 70.312 (75.725)
Epoch: [56][13330/14090]	Time 0.726 (0.751)	Data 0.002 (0.001)	Loss 2.1861 (2.1702)	Prec@1 41.406 (45.126)	Prec@5 80.469 (75.727)
Epoch: [56][13340/14090]	Time 0.733 (0.751)	Data 0.001 (0.001)	Loss 2.1577 (2.1702)	Prec@1 44.531 (45.126)	Prec@5 72.656 (75.727)
Epoch: [56][13350/14090]	Time 0.765 (0.751)	Data 0.001 (0.001)	Loss 2.0749 (2.1702)	Prec@1 51.562 (45.127)	Prec@5 75.000 (75.727)
Epoch: [56][13360/14090]	Time 0.742 (0.751)	Data 0.001 (0.001)	Loss 2.2881 (2.1702)	Prec@1 42.969 (45.127)	Prec@5 75.000 (75.725)
Epoch: [56][13370/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.2327 (2.1702)	Prec@1 46.875 (45.128)	Prec@5 71.875 (75.725)
Epoch: [56][13380/14090]	Time 0.737 (0.751)	Data 0.002 (0.001)	Loss 2.1221 (2.1702)	Prec@1 50.781 (45.129)	Prec@5 72.656 (75.726)
Epoch: [56][13390/14090]	Time 0.731 (0.751)	Data 0.001 (0.001)	Loss 2.1941 (2.1702)	Prec@1 42.188 (45.129)	Prec@5 72.656 (75.726)
Epoch: [56][13400/14090]	Time 0.740 (0.751)	Data 0.001 (0.001)	Loss 2.0326 (2.1702)	Prec@1 49.219 (45.130)	Prec@5 78.906 (75.725)
Epoch: [56][13410/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 2.3539 (2.1702)	Prec@1 45.312 (45.131)	Prec@5 71.875 (75.725)
Epoch: [56][13420/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 2.1217 (2.1703)	Prec@1 38.281 (45.129)	Prec@5 78.906 (75.725)
Epoch: [56][13430/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 2.3652 (2.1702)	Prec@1 45.312 (45.129)	Prec@5 72.656 (75.725)
Epoch: [56][13440/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.5029 (2.1702)	Prec@1 37.500 (45.130)	Prec@5 68.750 (75.725)
Epoch: [56][13450/14090]	Time 0.747 (0.751)	Data 0.002 (0.001)	Loss 2.2101 (2.1702)	Prec@1 47.656 (45.131)	Prec@5 75.000 (75.725)
Epoch: [56][13460/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 2.0599 (2.1703)	Prec@1 45.312 (45.130)	Prec@5 75.781 (75.723)
Epoch: [56][13470/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 2.1449 (2.1703)	Prec@1 42.969 (45.130)	Prec@5 74.219 (75.723)
Epoch: [56][13480/14090]	Time 0.763 (0.751)	Data 0.001 (0.001)	Loss 2.2665 (2.1703)	Prec@1 50.000 (45.129)	Prec@5 78.125 (75.724)
Epoch: [56][13490/14090]	Time 0.737 (0.751)	Data 0.001 (0.001)	Loss 2.2920 (2.1703)	Prec@1 44.531 (45.131)	Prec@5 72.656 (75.723)
Epoch: [56][13500/14090]	Time 0.778 (0.751)	Data 0.001 (0.001)	Loss 2.4714 (2.1703)	Prec@1 37.500 (45.131)	Prec@5 72.656 (75.723)
Epoch: [56][13510/14090]	Time 0.776 (0.751)	Data 0.001 (0.001)	Loss 2.1242 (2.1703)	Prec@1 47.656 (45.131)	Prec@5 76.562 (75.723)
Epoch: [56][13520/14090]	Time 0.750 (0.751)	Data 0.002 (0.001)	Loss 2.4124 (2.1703)	Prec@1 40.625 (45.130)	Prec@5 75.000 (75.724)
Epoch: [56][13530/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 2.5439 (2.1704)	Prec@1 43.750 (45.130)	Prec@5 68.750 (75.724)
Epoch: [56][13540/14090]	Time 0.760 (0.751)	Data 0.001 (0.001)	Loss 2.0790 (2.1704)	Prec@1 40.625 (45.130)	Prec@5 81.250 (75.725)
Epoch: [56][13550/14090]	Time 0.760 (0.751)	Data 0.001 (0.001)	Loss 2.1045 (2.1704)	Prec@1 52.344 (45.129)	Prec@5 75.000 (75.724)
Epoch: [56][13560/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.2104 (2.1704)	Prec@1 46.094 (45.128)	Prec@5 74.219 (75.724)
Epoch: [56][13570/14090]	Time 0.767 (0.751)	Data 0.001 (0.001)	Loss 2.1580 (2.1704)	Prec@1 46.094 (45.129)	Prec@5 78.906 (75.725)
Epoch: [56][13580/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 2.2531 (2.1704)	Prec@1 44.531 (45.128)	Prec@5 72.656 (75.724)
Epoch: [56][13590/14090]	Time 0.727 (0.751)	Data 0.002 (0.001)	Loss 2.2206 (2.1704)	Prec@1 38.281 (45.128)	Prec@5 75.781 (75.724)
Epoch: [56][13600/14090]	Time 0.730 (0.751)	Data 0.001 (0.001)	Loss 2.2648 (2.1705)	Prec@1 45.312 (45.129)	Prec@5 71.094 (75.723)
Epoch: [56][13610/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 2.2470 (2.1705)	Prec@1 42.188 (45.128)	Prec@5 70.312 (75.723)
Epoch: [56][13620/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 2.2697 (2.1705)	Prec@1 42.188 (45.129)	Prec@5 74.219 (75.721)
Epoch: [56][13630/14090]	Time 0.777 (0.751)	Data 0.001 (0.001)	Loss 2.2330 (2.1704)	Prec@1 50.000 (45.130)	Prec@5 73.438 (75.722)
Epoch: [56][13640/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 2.3438 (2.1705)	Prec@1 39.062 (45.130)	Prec@5 73.438 (75.722)
Epoch: [56][13650/14090]	Time 0.728 (0.751)	Data 0.001 (0.001)	Loss 2.0497 (2.1704)	Prec@1 48.438 (45.131)	Prec@5 76.562 (75.724)
Epoch: [56][13660/14090]	Time 0.747 (0.751)	Data 0.002 (0.001)	Loss 1.9900 (2.1704)	Prec@1 46.094 (45.131)	Prec@5 80.469 (75.724)
Epoch: [56][13670/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 2.3114 (2.1704)	Prec@1 39.062 (45.131)	Prec@5 74.219 (75.725)
Epoch: [56][13680/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 2.3954 (2.1705)	Prec@1 41.406 (45.129)	Prec@5 71.875 (75.723)
Epoch: [56][13690/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 1.9181 (2.1705)	Prec@1 52.344 (45.129)	Prec@5 78.125 (75.723)
Epoch: [56][13700/14090]	Time 0.780 (0.751)	Data 0.001 (0.001)	Loss 2.0247 (2.1705)	Prec@1 47.656 (45.130)	Prec@5 76.562 (75.723)
Epoch: [56][13710/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 2.1014 (2.1705)	Prec@1 45.312 (45.129)	Prec@5 77.344 (75.722)
Epoch: [56][13720/14090]	Time 0.757 (0.751)	Data 0.001 (0.001)	Loss 2.0365 (2.1705)	Prec@1 49.219 (45.129)	Prec@5 76.562 (75.723)
Epoch: [56][13730/14090]	Time 0.753 (0.751)	Data 0.003 (0.001)	Loss 1.9914 (2.1705)	Prec@1 52.344 (45.129)	Prec@5 79.688 (75.723)
Epoch: [56][13740/14090]	Time 0.726 (0.751)	Data 0.001 (0.001)	Loss 2.7131 (2.1705)	Prec@1 35.156 (45.129)	Prec@5 69.531 (75.724)
Epoch: [56][13750/14090]	Time 0.772 (0.751)	Data 0.001 (0.001)	Loss 2.1857 (2.1706)	Prec@1 49.219 (45.127)	Prec@5 75.781 (75.723)
Epoch: [56][13760/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 2.2190 (2.1705)	Prec@1 40.625 (45.128)	Prec@5 74.219 (75.723)
Epoch: [56][13770/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 2.2304 (2.1705)	Prec@1 44.531 (45.129)	Prec@5 78.906 (75.724)
Epoch: [56][13780/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 2.2954 (2.1706)	Prec@1 42.188 (45.127)	Prec@5 74.219 (75.723)
Epoch: [56][13790/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 2.2347 (2.1706)	Prec@1 44.531 (45.127)	Prec@5 71.094 (75.723)
Epoch: [56][13800/14090]	Time 0.751 (0.751)	Data 0.002 (0.001)	Loss 2.1977 (2.1706)	Prec@1 46.094 (45.125)	Prec@5 75.781 (75.722)
Epoch: [56][13810/14090]	Time 0.740 (0.751)	Data 0.001 (0.001)	Loss 2.0101 (2.1706)	Prec@1 46.094 (45.124)	Prec@5 78.906 (75.723)
Epoch: [56][13820/14090]	Time 0.759 (0.751)	Data 0.001 (0.001)	Loss 2.4815 (2.1706)	Prec@1 38.281 (45.124)	Prec@5 69.531 (75.722)
Epoch: [56][13830/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 2.2224 (2.1706)	Prec@1 46.094 (45.125)	Prec@5 72.656 (75.720)
Epoch: [56][13840/14090]	Time 0.759 (0.751)	Data 0.001 (0.001)	Loss 2.1348 (2.1706)	Prec@1 44.531 (45.125)	Prec@5 72.656 (75.721)
Epoch: [56][13850/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 2.1393 (2.1706)	Prec@1 46.094 (45.125)	Prec@5 75.000 (75.720)
Epoch: [56][13860/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 2.2115 (2.1706)	Prec@1 51.562 (45.126)	Prec@5 73.438 (75.721)
Epoch: [56][13870/14090]	Time 0.761 (0.751)	Data 0.002 (0.001)	Loss 1.7615 (2.1706)	Prec@1 53.906 (45.126)	Prec@5 84.375 (75.721)
Epoch: [56][13880/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.3813 (2.1707)	Prec@1 39.062 (45.124)	Prec@5 71.094 (75.720)
Epoch: [56][13890/14090]	Time 0.777 (0.751)	Data 0.001 (0.001)	Loss 1.9884 (2.1708)	Prec@1 50.781 (45.123)	Prec@5 80.469 (75.718)
Epoch: [56][13900/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 2.2051 (2.1707)	Prec@1 48.438 (45.122)	Prec@5 75.000 (75.718)
Epoch: [56][13910/14090]	Time 0.760 (0.751)	Data 0.001 (0.001)	Loss 2.1391 (2.1707)	Prec@1 47.656 (45.122)	Prec@5 79.688 (75.718)
Epoch: [56][13920/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 1.8888 (2.1707)	Prec@1 57.031 (45.124)	Prec@5 80.469 (75.719)
Epoch: [56][13930/14090]	Time 0.767 (0.751)	Data 0.001 (0.001)	Loss 2.2597 (2.1706)	Prec@1 48.438 (45.126)	Prec@5 75.000 (75.720)
Epoch: [56][13940/14090]	Time 0.747 (0.751)	Data 0.002 (0.001)	Loss 2.1277 (2.1706)	Prec@1 41.406 (45.126)	Prec@5 77.344 (75.720)
Epoch: [56][13950/14090]	Time 0.737 (0.751)	Data 0.001 (0.001)	Loss 2.2831 (2.1706)	Prec@1 42.969 (45.126)	Prec@5 77.344 (75.720)
Epoch: [56][13960/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 2.1925 (2.1706)	Prec@1 42.969 (45.127)	Prec@5 78.125 (75.721)
Epoch: [56][13970/14090]	Time 0.770 (0.751)	Data 0.001 (0.001)	Loss 2.0450 (2.1706)	Prec@1 51.562 (45.127)	Prec@5 75.781 (75.721)
Epoch: [56][13980/14090]	Time 0.734 (0.751)	Data 0.001 (0.001)	Loss 2.3139 (2.1705)	Prec@1 48.438 (45.129)	Prec@5 76.562 (75.723)
Epoch: [56][13990/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 1.9623 (2.1705)	Prec@1 50.000 (45.130)	Prec@5 81.250 (75.724)
Epoch: [56][14000/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 2.2484 (2.1705)	Prec@1 44.531 (45.130)	Prec@5 74.219 (75.722)
Epoch: [56][14010/14090]	Time 0.776 (0.751)	Data 0.002 (0.001)	Loss 2.2385 (2.1705)	Prec@1 42.188 (45.130)	Prec@5 75.781 (75.722)
Epoch: [56][14020/14090]	Time 0.772 (0.751)	Data 0.001 (0.001)	Loss 2.1476 (2.1705)	Prec@1 46.094 (45.129)	Prec@5 77.344 (75.722)
Epoch: [56][14030/14090]	Time 0.777 (0.751)	Data 0.002 (0.001)	Loss 2.1207 (2.1705)	Prec@1 49.219 (45.129)	Prec@5 76.562 (75.722)
Epoch: [56][14040/14090]	Time 0.778 (0.751)	Data 0.001 (0.001)	Loss 1.9582 (2.1705)	Prec@1 52.344 (45.128)	Prec@5 79.688 (75.722)
Epoch: [56][14050/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 2.1198 (2.1705)	Prec@1 49.219 (45.130)	Prec@5 79.688 (75.722)
Epoch: [56][14060/14090]	Time 0.724 (0.751)	Data 0.001 (0.001)	Loss 2.0365 (2.1705)	Prec@1 44.531 (45.130)	Prec@5 75.000 (75.722)
Epoch: [56][14070/14090]	Time 0.768 (0.751)	Data 0.001 (0.001)	Loss 1.9914 (2.1705)	Prec@1 50.000 (45.130)	Prec@5 78.125 (75.722)
Epoch: [56][14080/14090]	Time 0.731 (0.751)	Data 0.000 (0.001)	Loss 2.2712 (2.1705)	Prec@1 38.281 (45.128)	Prec@5 74.219 (75.721)
Test: [0/286]	Time 4.981 (4.981)	Loss 1.2978 (1.2978)	Prec@1 60.938 (60.938)	Prec@5 92.969 (92.969)
Test: [10/286]	Time 0.254 (0.827)	Loss 1.5333 (1.9564)	Prec@1 57.031 (50.284)	Prec@5 89.844 (81.321)
Test: [20/286]	Time 0.228 (0.631)	Loss 1.2814 (1.8533)	Prec@1 67.188 (51.823)	Prec@5 90.625 (82.775)
Test: [30/286]	Time 0.229 (0.558)	Loss 2.1790 (1.7986)	Prec@1 42.969 (52.923)	Prec@5 78.125 (82.939)
Test: [40/286]	Time 1.849 (0.564)	Loss 2.0329 (1.8143)	Prec@1 44.531 (52.153)	Prec@5 81.250 (82.793)
Test: [50/286]	Time 0.230 (0.539)	Loss 0.5806 (1.8438)	Prec@1 89.062 (51.670)	Prec@5 93.750 (82.598)
Test: [60/286]	Time 0.257 (0.520)	Loss 2.4301 (1.8766)	Prec@1 46.094 (51.217)	Prec@5 75.000 (81.455)
Test: [70/286]	Time 0.231 (0.505)	Loss 1.3757 (1.8579)	Prec@1 71.094 (51.662)	Prec@5 86.719 (81.723)
Test: [80/286]	Time 1.768 (0.514)	Loss 2.1188 (1.8738)	Prec@1 44.531 (51.138)	Prec@5 80.469 (81.549)
Test: [90/286]	Time 0.228 (0.504)	Loss 2.1417 (1.8821)	Prec@1 42.188 (50.996)	Prec@5 82.031 (81.585)
Test: [100/286]	Time 0.360 (0.498)	Loss 2.3198 (1.8934)	Prec@1 32.031 (50.480)	Prec@5 82.812 (81.768)
Test: [110/286]	Time 0.245 (0.492)	Loss 2.6050 (1.9140)	Prec@1 32.812 (49.901)	Prec@5 72.656 (81.693)
Test: [120/286]	Time 1.391 (0.495)	Loss 1.9199 (1.9013)	Prec@1 53.906 (50.271)	Prec@5 77.344 (81.760)
Test: [130/286]	Time 0.314 (0.494)	Loss 1.0234 (1.8858)	Prec@1 71.094 (50.853)	Prec@5 93.750 (81.793)
Test: [140/286]	Time 0.296 (0.490)	Loss 2.3726 (1.8793)	Prec@1 43.750 (51.103)	Prec@5 73.438 (81.832)
Test: [150/286]	Time 0.263 (0.486)	Loss 2.7148 (1.8924)	Prec@1 27.344 (50.512)	Prec@5 71.875 (81.747)
Test: [160/286]	Time 1.492 (0.490)	Loss 2.5594 (1.8920)	Prec@1 29.688 (50.602)	Prec@5 71.094 (81.696)
Test: [170/286]	Time 0.580 (0.489)	Loss 2.1689 (1.8800)	Prec@1 42.188 (50.781)	Prec@5 81.250 (81.903)
Test: [180/286]	Time 0.332 (0.485)	Loss 1.9103 (1.8938)	Prec@1 56.250 (50.445)	Prec@5 78.125 (81.720)
Test: [190/286]	Time 0.384 (0.483)	Loss 3.1137 (1.9031)	Prec@1 14.844 (50.258)	Prec@5 65.625 (81.647)
Test: [200/286]	Time 1.339 (0.486)	Loss 1.8831 (1.8918)	Prec@1 57.812 (50.575)	Prec@5 88.281 (81.810)
Test: [210/286]	Time 0.649 (0.484)	Loss 2.1270 (1.8960)	Prec@1 45.312 (50.533)	Prec@5 81.250 (81.750)
Test: [220/286]	Time 0.297 (0.482)	Loss 2.8747 (1.9003)	Prec@1 22.656 (50.477)	Prec@5 65.625 (81.667)
Test: [230/286]	Time 0.415 (0.480)	Loss 1.5109 (1.9031)	Prec@1 60.156 (50.406)	Prec@5 82.812 (81.598)
Test: [240/286]	Time 1.117 (0.482)	Loss 2.1010 (1.9077)	Prec@1 43.750 (50.344)	Prec@5 82.031 (81.516)
Test: [250/286]	Time 0.290 (0.481)	Loss 1.5865 (1.9009)	Prec@1 53.125 (50.336)	Prec@5 87.500 (81.739)
Test: [260/286]	Time 0.289 (0.479)	Loss 1.4943 (1.8940)	Prec@1 59.375 (50.545)	Prec@5 85.938 (81.849)
Test: [270/286]	Time 0.768 (0.479)	Loss 1.2269 (1.8907)	Prec@1 71.094 (50.614)	Prec@5 86.719 (81.976)
Test: [280/286]	Time 0.649 (0.480)	Loss 1.8966 (1.8730)	Prec@1 55.469 (51.162)	Prec@5 87.500 (82.176)
 * Prec@1 51.292 Prec@5 82.206
Epoch: [57][0/14090]	Time 6.283 (6.283)	Data 5.461 (5.461)	Loss 2.1099 (2.1099)	Prec@1 44.531 (44.531)	Prec@5 77.344 (77.344)
Epoch: [57][10/14090]	Time 0.732 (1.257)	Data 0.001 (0.497)	Loss 1.8376 (2.2044)	Prec@1 55.469 (44.531)	Prec@5 81.250 (74.716)
Epoch: [57][20/14090]	Time 0.729 (1.011)	Data 0.001 (0.261)	Loss 2.4397 (2.1870)	Prec@1 37.500 (45.126)	Prec@5 73.438 (75.223)
Epoch: [57][30/14090]	Time 0.764 (0.926)	Data 0.001 (0.177)	Loss 2.0385 (2.1615)	Prec@1 43.750 (45.716)	Prec@5 82.031 (75.857)
Epoch: [57][40/14090]	Time 0.737 (0.883)	Data 0.001 (0.134)	Loss 2.3521 (2.1888)	Prec@1 43.750 (45.141)	Prec@5 73.438 (75.514)
Epoch: [57][50/14090]	Time 0.726 (0.854)	Data 0.002 (0.108)	Loss 2.1769 (2.1681)	Prec@1 48.438 (45.604)	Prec@5 75.000 (75.597)
Epoch: [57][60/14090]	Time 0.727 (0.835)	Data 0.001 (0.090)	Loss 2.1081 (2.1627)	Prec@1 47.656 (45.684)	Prec@5 76.562 (75.704)
Epoch: [57][70/14090]	Time 0.767 (0.824)	Data 0.001 (0.078)	Loss 2.1076 (2.1697)	Prec@1 46.094 (45.312)	Prec@5 78.125 (75.506)
Epoch: [57][80/14090]	Time 0.745 (0.814)	Data 0.001 (0.068)	Loss 2.1040 (2.1642)	Prec@1 45.312 (45.370)	Prec@5 75.000 (75.588)
Epoch: [57][90/14090]	Time 0.739 (0.806)	Data 0.001 (0.061)	Loss 2.0758 (2.1598)	Prec@1 39.062 (45.355)	Prec@5 76.562 (75.652)
Epoch: [57][100/14090]	Time 0.744 (0.800)	Data 0.001 (0.055)	Loss 2.0696 (2.1527)	Prec@1 46.875 (45.707)	Prec@5 75.000 (75.835)
Epoch: [57][110/14090]	Time 0.755 (0.796)	Data 0.001 (0.050)	Loss 1.7726 (2.1389)	Prec@1 50.781 (45.791)	Prec@5 84.375 (76.091)
Epoch: [57][120/14090]	Time 0.731 (0.792)	Data 0.002 (0.046)	Loss 1.9467 (2.1345)	Prec@1 50.000 (45.926)	Prec@5 79.688 (76.175)
Epoch: [57][130/14090]	Time 0.759 (0.789)	Data 0.001 (0.043)	Loss 2.2905 (2.1353)	Prec@1 48.438 (45.921)	Prec@5 68.750 (76.175)
Epoch: [57][140/14090]	Time 0.750 (0.786)	Data 0.001 (0.040)	Loss 2.2164 (2.1366)	Prec@1 47.656 (45.933)	Prec@5 75.781 (76.169)
Epoch: [57][150/14090]	Time 0.763 (0.783)	Data 0.001 (0.037)	Loss 2.1461 (2.1399)	Prec@1 46.875 (45.975)	Prec@5 72.656 (76.112)
Epoch: [57][160/14090]	Time 0.749 (0.782)	Data 0.001 (0.035)	Loss 2.0555 (2.1390)	Prec@1 45.312 (45.909)	Prec@5 81.250 (76.135)
Epoch: [57][170/14090]	Time 0.752 (0.780)	Data 0.001 (0.033)	Loss 1.8870 (2.1368)	Prec@1 49.219 (45.920)	Prec@5 82.031 (76.151)
Epoch: [57][180/14090]	Time 0.736 (0.778)	Data 0.001 (0.031)	Loss 1.9670 (2.1332)	Prec@1 49.219 (45.990)	Prec@5 78.125 (76.209)
Epoch: [57][190/14090]	Time 0.754 (0.777)	Data 0.002 (0.030)	Loss 1.9373 (2.1344)	Prec@1 55.469 (45.996)	Prec@5 78.906 (76.198)
Epoch: [57][200/14090]	Time 0.756 (0.775)	Data 0.001 (0.028)	Loss 2.0955 (2.1340)	Prec@1 52.344 (45.993)	Prec@5 73.438 (76.185)
Epoch: [57][210/14090]	Time 0.754 (0.774)	Data 0.001 (0.027)	Loss 2.2196 (2.1373)	Prec@1 40.625 (45.975)	Prec@5 75.000 (76.126)
Epoch: [57][220/14090]	Time 0.759 (0.773)	Data 0.001 (0.026)	Loss 2.1125 (2.1370)	Prec@1 42.969 (45.963)	Prec@5 78.125 (76.110)
Epoch: [57][230/14090]	Time 0.757 (0.772)	Data 0.001 (0.025)	Loss 2.2971 (2.1407)	Prec@1 45.312 (45.864)	Prec@5 71.875 (76.004)
Epoch: [57][240/14090]	Time 0.755 (0.771)	Data 0.001 (0.024)	Loss 2.1116 (2.1402)	Prec@1 41.406 (45.880)	Prec@5 79.688 (76.034)
Epoch: [57][250/14090]	Time 0.740 (0.770)	Data 0.001 (0.023)	Loss 2.1453 (2.1381)	Prec@1 46.094 (45.969)	Prec@5 74.219 (76.071)
Epoch: [57][260/14090]	Time 0.741 (0.769)	Data 0.002 (0.022)	Loss 1.9132 (2.1377)	Prec@1 52.344 (46.004)	Prec@5 77.344 (76.108)
Epoch: [57][270/14090]	Time 0.732 (0.768)	Data 0.001 (0.021)	Loss 1.9638 (2.1372)	Prec@1 48.438 (46.030)	Prec@5 78.125 (76.064)
Epoch: [57][280/14090]	Time 0.747 (0.768)	Data 0.001 (0.020)	Loss 2.2524 (2.1386)	Prec@1 42.188 (45.960)	Prec@5 71.875 (76.026)
Epoch: [57][290/14090]	Time 0.757 (0.767)	Data 0.001 (0.020)	Loss 1.8486 (2.1391)	Prec@1 49.219 (45.941)	Prec@5 81.250 (76.031)
Epoch: [57][300/14090]	Time 0.743 (0.767)	Data 0.001 (0.019)	Loss 2.1639 (2.1382)	Prec@1 43.750 (45.946)	Prec@5 75.781 (76.036)
Epoch: [57][310/14090]	Time 0.770 (0.766)	Data 0.001 (0.018)	Loss 1.9989 (2.1393)	Prec@1 46.875 (45.875)	Prec@5 83.594 (76.035)
Epoch: [57][320/14090]	Time 0.732 (0.766)	Data 0.001 (0.018)	Loss 2.0604 (2.1395)	Prec@1 46.094 (45.887)	Prec@5 74.219 (76.027)
Epoch: [57][330/14090]	Time 0.750 (0.765)	Data 0.002 (0.017)	Loss 2.0658 (2.1406)	Prec@1 46.875 (45.858)	Prec@5 76.562 (75.972)
Epoch: [57][340/14090]	Time 0.745 (0.765)	Data 0.001 (0.017)	Loss 2.1186 (2.1407)	Prec@1 44.531 (45.860)	Prec@5 76.562 (75.992)
Epoch: [57][350/14090]	Time 0.772 (0.765)	Data 0.001 (0.016)	Loss 2.2395 (2.1425)	Prec@1 46.094 (45.862)	Prec@5 75.781 (75.957)
Epoch: [57][360/14090]	Time 0.755 (0.764)	Data 0.001 (0.016)	Loss 2.4023 (2.1409)	Prec@1 38.281 (45.908)	Prec@5 67.188 (75.959)
Epoch: [57][370/14090]	Time 0.726 (0.764)	Data 0.001 (0.016)	Loss 2.2351 (2.1412)	Prec@1 49.219 (45.927)	Prec@5 72.656 (75.931)
Epoch: [57][380/14090]	Time 0.749 (0.763)	Data 0.001 (0.015)	Loss 2.2377 (2.1398)	Prec@1 42.969 (45.940)	Prec@5 77.344 (75.951)
Epoch: [57][390/14090]	Time 0.760 (0.763)	Data 0.001 (0.015)	Loss 2.5775 (2.1433)	Prec@1 35.938 (45.880)	Prec@5 71.875 (75.927)
Epoch: [57][400/14090]	Time 0.745 (0.763)	Data 0.002 (0.015)	Loss 2.2379 (2.1450)	Prec@1 43.750 (45.813)	Prec@5 70.312 (75.859)
Epoch: [57][410/14090]	Time 0.756 (0.762)	Data 0.001 (0.014)	Loss 2.3333 (2.1445)	Prec@1 38.281 (45.816)	Prec@5 75.000 (75.865)
Epoch: [57][420/14090]	Time 0.745 (0.762)	Data 0.001 (0.014)	Loss 1.8952 (2.1448)	Prec@1 46.094 (45.812)	Prec@5 79.688 (75.876)
Epoch: [57][430/14090]	Time 0.737 (0.762)	Data 0.001 (0.014)	Loss 2.1342 (2.1454)	Prec@1 45.312 (45.806)	Prec@5 75.000 (75.848)
Epoch: [57][440/14090]	Time 0.745 (0.762)	Data 0.001 (0.013)	Loss 2.2235 (2.1454)	Prec@1 42.188 (45.780)	Prec@5 75.000 (75.836)
Epoch: [57][450/14090]	Time 0.746 (0.761)	Data 0.001 (0.013)	Loss 2.2599 (2.1476)	Prec@1 43.750 (45.740)	Prec@5 73.438 (75.786)
Epoch: [57][460/14090]	Time 0.735 (0.761)	Data 0.001 (0.013)	Loss 1.8545 (2.1476)	Prec@1 48.438 (45.714)	Prec@5 82.812 (75.812)
Epoch: [57][470/14090]	Time 0.749 (0.761)	Data 0.002 (0.013)	Loss 2.0479 (2.1460)	Prec@1 50.781 (45.727)	Prec@5 80.469 (75.863)
Epoch: [57][480/14090]	Time 0.730 (0.761)	Data 0.001 (0.012)	Loss 2.2712 (2.1457)	Prec@1 44.531 (45.740)	Prec@5 72.656 (75.887)
Epoch: [57][490/14090]	Time 0.729 (0.760)	Data 0.001 (0.012)	Loss 1.8663 (2.1435)	Prec@1 51.562 (45.790)	Prec@5 80.469 (75.932)
Epoch: [57][500/14090]	Time 0.726 (0.760)	Data 0.001 (0.012)	Loss 2.0899 (2.1445)	Prec@1 47.656 (45.785)	Prec@5 77.344 (75.923)
Epoch: [57][510/14090]	Time 0.731 (0.760)	Data 0.001 (0.012)	Loss 2.1012 (2.1435)	Prec@1 40.625 (45.771)	Prec@5 75.781 (75.942)
Epoch: [57][520/14090]	Time 0.755 (0.760)	Data 0.002 (0.011)	Loss 2.3304 (2.1447)	Prec@1 39.844 (45.786)	Prec@5 72.656 (75.925)
Epoch: [57][530/14090]	Time 0.769 (0.760)	Data 0.001 (0.011)	Loss 2.0783 (2.1433)	Prec@1 46.875 (45.810)	Prec@5 72.656 (75.945)
Epoch: [57][540/14090]	Time 0.754 (0.760)	Data 0.002 (0.011)	Loss 2.3535 (2.1437)	Prec@1 36.719 (45.785)	Prec@5 76.562 (75.973)
Epoch: [57][550/14090]	Time 0.765 (0.760)	Data 0.001 (0.011)	Loss 2.1970 (2.1432)	Prec@1 42.969 (45.824)	Prec@5 72.656 (75.978)
Epoch: [57][560/14090]	Time 0.740 (0.759)	Data 0.001 (0.011)	Loss 1.9130 (2.1418)	Prec@1 44.531 (45.858)	Prec@5 78.125 (75.983)
Epoch: [57][570/14090]	Time 0.758 (0.759)	Data 0.001 (0.010)	Loss 2.0845 (2.1420)	Prec@1 48.438 (45.864)	Prec@5 75.781 (75.981)
Epoch: [57][580/14090]	Time 0.776 (0.759)	Data 0.001 (0.010)	Loss 1.8158 (2.1413)	Prec@1 54.688 (45.862)	Prec@5 78.906 (76.010)
Epoch: [57][590/14090]	Time 0.748 (0.759)	Data 0.001 (0.010)	Loss 1.9802 (2.1416)	Prec@1 51.562 (45.841)	Prec@5 76.562 (76.022)
Epoch: [57][600/14090]	Time 0.756 (0.759)	Data 0.001 (0.010)	Loss 2.0091 (2.1409)	Prec@1 48.438 (45.839)	Prec@5 78.906 (76.026)
Epoch: [57][610/14090]	Time 0.749 (0.759)	Data 0.002 (0.010)	Loss 2.0352 (2.1434)	Prec@1 50.781 (45.792)	Prec@5 78.906 (75.992)
Epoch: [57][620/14090]	Time 0.765 (0.759)	Data 0.001 (0.010)	Loss 2.0499 (2.1434)	Prec@1 46.875 (45.765)	Prec@5 75.781 (76.010)
Epoch: [57][630/14090]	Time 0.787 (0.759)	Data 0.001 (0.010)	Loss 2.0970 (2.1437)	Prec@1 48.438 (45.767)	Prec@5 76.562 (76.010)
Epoch: [57][640/14090]	Time 0.729 (0.758)	Data 0.001 (0.009)	Loss 1.8677 (2.1429)	Prec@1 54.688 (45.791)	Prec@5 81.250 (76.009)
Epoch: [57][650/14090]	Time 0.740 (0.758)	Data 0.001 (0.009)	Loss 2.2754 (2.1436)	Prec@1 43.750 (45.769)	Prec@5 71.875 (76.015)
Epoch: [57][660/14090]	Time 0.727 (0.758)	Data 0.001 (0.009)	Loss 2.2455 (2.1427)	Prec@1 41.406 (45.770)	Prec@5 75.000 (76.032)
Epoch: [57][670/14090]	Time 0.754 (0.758)	Data 0.001 (0.009)	Loss 2.2840 (2.1421)	Prec@1 39.844 (45.775)	Prec@5 75.000 (76.051)
Epoch: [57][680/14090]	Time 0.740 (0.758)	Data 0.002 (0.009)	Loss 2.0430 (2.1414)	Prec@1 52.344 (45.766)	Prec@5 75.000 (76.055)
Epoch: [57][690/14090]	Time 0.732 (0.758)	Data 0.001 (0.009)	Loss 2.3693 (2.1426)	Prec@1 40.625 (45.769)	Prec@5 75.000 (76.029)
Epoch: [57][700/14090]	Time 0.748 (0.758)	Data 0.001 (0.009)	Loss 1.8918 (2.1427)	Prec@1 53.906 (45.794)	Prec@5 78.125 (76.015)
Epoch: [57][710/14090]	Time 0.747 (0.758)	Data 0.001 (0.009)	Loss 2.3442 (2.1430)	Prec@1 41.406 (45.785)	Prec@5 74.219 (76.016)
Epoch: [57][720/14090]	Time 0.772 (0.757)	Data 0.001 (0.008)	Loss 2.0072 (2.1429)	Prec@1 46.094 (45.763)	Prec@5 79.688 (76.028)
Epoch: [57][730/14090]	Time 0.732 (0.757)	Data 0.001 (0.008)	Loss 2.0349 (2.1434)	Prec@1 46.094 (45.769)	Prec@5 76.562 (76.024)
Epoch: [57][740/14090]	Time 0.778 (0.757)	Data 0.001 (0.008)	Loss 1.8431 (2.1434)	Prec@1 49.219 (45.779)	Prec@5 81.250 (76.034)
Epoch: [57][750/14090]	Time 0.745 (0.757)	Data 0.002 (0.008)	Loss 2.0310 (2.1419)	Prec@1 51.562 (45.806)	Prec@5 75.781 (76.070)
Epoch: [57][760/14090]	Time 0.747 (0.757)	Data 0.001 (0.008)	Loss 2.0745 (2.1416)	Prec@1 46.094 (45.809)	Prec@5 79.688 (76.084)
Epoch: [57][770/14090]	Time 0.762 (0.757)	Data 0.001 (0.008)	Loss 2.2420 (2.1419)	Prec@1 39.844 (45.808)	Prec@5 76.562 (76.088)
Epoch: [57][780/14090]	Time 0.749 (0.757)	Data 0.001 (0.008)	Loss 2.2506 (2.1424)	Prec@1 35.156 (45.784)	Prec@5 70.312 (76.082)
Epoch: [57][790/14090]	Time 0.751 (0.757)	Data 0.001 (0.008)	Loss 1.9771 (2.1428)	Prec@1 49.219 (45.765)	Prec@5 78.125 (76.074)
Epoch: [57][800/14090]	Time 0.752 (0.757)	Data 0.001 (0.008)	Loss 2.2118 (2.1424)	Prec@1 45.312 (45.774)	Prec@5 75.000 (76.071)
Epoch: [57][810/14090]	Time 0.729 (0.757)	Data 0.001 (0.008)	Loss 2.0803 (2.1413)	Prec@1 49.219 (45.806)	Prec@5 79.688 (76.095)
Epoch: [57][820/14090]	Time 0.739 (0.757)	Data 0.002 (0.008)	Loss 2.2598 (2.1418)	Prec@1 45.312 (45.786)	Prec@5 71.875 (76.081)
Epoch: [57][830/14090]	Time 0.757 (0.756)	Data 0.001 (0.007)	Loss 2.3980 (2.1423)	Prec@1 35.938 (45.756)	Prec@5 72.656 (76.073)
Epoch: [57][840/14090]	Time 0.755 (0.756)	Data 0.001 (0.007)	Loss 2.2105 (2.1429)	Prec@1 46.875 (45.750)	Prec@5 75.781 (76.085)
Epoch: [57][850/14090]	Time 0.764 (0.756)	Data 0.001 (0.007)	Loss 1.9496 (2.1414)	Prec@1 51.562 (45.787)	Prec@5 79.688 (76.108)
Epoch: [57][860/14090]	Time 0.731 (0.756)	Data 0.001 (0.007)	Loss 2.0968 (2.1411)	Prec@1 46.094 (45.793)	Prec@5 79.688 (76.113)
Epoch: [57][870/14090]	Time 0.752 (0.756)	Data 0.001 (0.007)	Loss 2.2278 (2.1413)	Prec@1 39.844 (45.799)	Prec@5 74.219 (76.105)
Epoch: [57][880/14090]	Time 0.749 (0.756)	Data 0.001 (0.007)	Loss 1.8074 (2.1413)	Prec@1 48.438 (45.771)	Prec@5 84.375 (76.109)
Epoch: [57][890/14090]	Time 0.768 (0.756)	Data 0.002 (0.007)	Loss 2.3340 (2.1416)	Prec@1 42.188 (45.774)	Prec@5 73.438 (76.110)
Epoch: [57][900/14090]	Time 0.749 (0.756)	Data 0.001 (0.007)	Loss 2.0575 (2.1416)	Prec@1 47.656 (45.769)	Prec@5 78.906 (76.113)
Epoch: [57][910/14090]	Time 0.720 (0.756)	Data 0.001 (0.007)	Loss 2.0570 (2.1415)	Prec@1 46.875 (45.773)	Prec@5 73.438 (76.109)
Epoch: [57][920/14090]	Time 0.753 (0.756)	Data 0.001 (0.007)	Loss 1.9378 (2.1413)	Prec@1 43.750 (45.770)	Prec@5 79.688 (76.120)
Epoch: [57][930/14090]	Time 0.731 (0.756)	Data 0.001 (0.007)	Loss 1.9406 (2.1407)	Prec@1 50.000 (45.766)	Prec@5 84.375 (76.132)
Epoch: [57][940/14090]	Time 0.736 (0.756)	Data 0.001 (0.007)	Loss 2.3135 (2.1416)	Prec@1 41.406 (45.748)	Prec@5 71.875 (76.108)
Epoch: [57][950/14090]	Time 0.761 (0.755)	Data 0.001 (0.007)	Loss 2.3663 (2.1409)	Prec@1 39.844 (45.761)	Prec@5 78.125 (76.119)
Epoch: [57][960/14090]	Time 0.754 (0.755)	Data 0.002 (0.007)	Loss 2.0092 (2.1417)	Prec@1 43.750 (45.758)	Prec@5 78.125 (76.105)
Epoch: [57][970/14090]	Time 0.728 (0.755)	Data 0.001 (0.007)	Loss 2.3891 (2.1429)	Prec@1 35.156 (45.734)	Prec@5 75.000 (76.087)
Epoch: [57][980/14090]	Time 0.741 (0.755)	Data 0.001 (0.006)	Loss 2.0768 (2.1428)	Prec@1 42.188 (45.738)	Prec@5 78.125 (76.086)
Epoch: [57][990/14090]	Time 0.746 (0.755)	Data 0.001 (0.006)	Loss 1.9839 (2.1429)	Prec@1 45.312 (45.731)	Prec@5 80.469 (76.074)
Epoch: [57][1000/14090]	Time 0.744 (0.755)	Data 0.001 (0.006)	Loss 1.9534 (2.1427)	Prec@1 51.562 (45.744)	Prec@5 74.219 (76.082)
Epoch: [57][1010/14090]	Time 0.728 (0.755)	Data 0.001 (0.006)	Loss 1.8476 (2.1433)	Prec@1 53.125 (45.741)	Prec@5 84.375 (76.079)
Epoch: [57][1020/14090]	Time 0.765 (0.755)	Data 0.001 (0.006)	Loss 2.1122 (2.1431)	Prec@1 45.312 (45.742)	Prec@5 76.562 (76.086)
Epoch: [57][1030/14090]	Time 0.751 (0.755)	Data 0.002 (0.006)	Loss 2.1563 (2.1422)	Prec@1 42.188 (45.747)	Prec@5 78.906 (76.102)
Epoch: [57][1040/14090]	Time 0.750 (0.755)	Data 0.001 (0.006)	Loss 2.0337 (2.1416)	Prec@1 46.094 (45.751)	Prec@5 72.656 (76.105)
Epoch: [57][1050/14090]	Time 0.753 (0.755)	Data 0.001 (0.006)	Loss 2.2126 (2.1414)	Prec@1 46.094 (45.761)	Prec@5 73.438 (76.107)
Epoch: [57][1060/14090]	Time 0.759 (0.755)	Data 0.001 (0.006)	Loss 1.7755 (2.1415)	Prec@1 49.219 (45.738)	Prec@5 83.594 (76.107)
Epoch: [57][1070/14090]	Time 0.738 (0.755)	Data 0.001 (0.006)	Loss 1.9363 (2.1412)	Prec@1 51.562 (45.750)	Prec@5 79.688 (76.116)
Epoch: [57][1080/14090]	Time 0.773 (0.755)	Data 0.001 (0.006)	Loss 2.1236 (2.1420)	Prec@1 45.312 (45.743)	Prec@5 75.000 (76.097)
Epoch: [57][1090/14090]	Time 0.731 (0.754)	Data 0.001 (0.006)	Loss 1.9744 (2.1417)	Prec@1 50.000 (45.766)	Prec@5 79.688 (76.105)
Epoch: [57][1100/14090]	Time 0.749 (0.754)	Data 0.002 (0.006)	Loss 1.9331 (2.1413)	Prec@1 50.781 (45.759)	Prec@5 81.250 (76.123)
Epoch: [57][1110/14090]	Time 0.760 (0.754)	Data 0.001 (0.006)	Loss 2.0611 (2.1416)	Prec@1 53.125 (45.759)	Prec@5 75.781 (76.122)
Epoch: [57][1120/14090]	Time 0.750 (0.754)	Data 0.001 (0.006)	Loss 2.3957 (2.1423)	Prec@1 40.625 (45.731)	Prec@5 71.875 (76.093)
Epoch: [57][1130/14090]	Time 0.749 (0.754)	Data 0.001 (0.006)	Loss 2.1987 (2.1421)	Prec@1 43.750 (45.728)	Prec@5 73.438 (76.100)
Epoch: [57][1140/14090]	Time 0.742 (0.754)	Data 0.001 (0.006)	Loss 2.1643 (2.1413)	Prec@1 46.094 (45.732)	Prec@5 75.000 (76.128)
Epoch: [57][1150/14090]	Time 0.755 (0.754)	Data 0.001 (0.006)	Loss 2.2168 (2.1413)	Prec@1 45.312 (45.742)	Prec@5 76.562 (76.129)
Epoch: [57][1160/14090]	Time 0.745 (0.754)	Data 0.001 (0.006)	Loss 1.9200 (2.1404)	Prec@1 50.781 (45.749)	Prec@5 80.469 (76.144)
Epoch: [57][1170/14090]	Time 0.748 (0.754)	Data 0.002 (0.006)	Loss 2.0825 (2.1409)	Prec@1 46.875 (45.748)	Prec@5 78.125 (76.129)
Epoch: [57][1180/14090]	Time 0.744 (0.754)	Data 0.001 (0.006)	Loss 2.1555 (2.1411)	Prec@1 42.969 (45.739)	Prec@5 80.469 (76.127)
Epoch: [57][1190/14090]	Time 0.756 (0.754)	Data 0.001 (0.005)	Loss 1.8066 (2.1410)	Prec@1 53.125 (45.741)	Prec@5 82.031 (76.132)
Epoch: [57][1200/14090]	Time 0.748 (0.754)	Data 0.001 (0.005)	Loss 2.0762 (2.1403)	Prec@1 46.094 (45.761)	Prec@5 81.250 (76.155)
Epoch: [57][1210/14090]	Time 0.757 (0.754)	Data 0.001 (0.005)	Loss 2.1856 (2.1402)	Prec@1 46.094 (45.754)	Prec@5 81.250 (76.165)
Epoch: [57][1220/14090]	Time 0.754 (0.754)	Data 0.001 (0.005)	Loss 2.1150 (2.1399)	Prec@1 45.312 (45.758)	Prec@5 72.656 (76.166)
Epoch: [57][1230/14090]	Time 0.744 (0.754)	Data 0.001 (0.005)	Loss 2.1853 (2.1401)	Prec@1 45.312 (45.740)	Prec@5 75.781 (76.167)
Epoch: [57][1240/14090]	Time 0.753 (0.754)	Data 0.002 (0.005)	Loss 2.1982 (2.1398)	Prec@1 38.281 (45.735)	Prec@5 75.781 (76.170)
Epoch: [57][1250/14090]	Time 0.744 (0.754)	Data 0.001 (0.005)	Loss 2.0324 (2.1388)	Prec@1 46.875 (45.767)	Prec@5 77.344 (76.185)
Epoch: [57][1260/14090]	Time 0.756 (0.754)	Data 0.001 (0.005)	Loss 1.9865 (2.1391)	Prec@1 50.000 (45.767)	Prec@5 82.031 (76.175)
Epoch: [57][1270/14090]	Time 0.727 (0.754)	Data 0.001 (0.005)	Loss 1.9179 (2.1390)	Prec@1 54.688 (45.755)	Prec@5 78.125 (76.178)
Epoch: [57][1280/14090]	Time 0.771 (0.754)	Data 0.001 (0.005)	Loss 2.1644 (2.1393)	Prec@1 46.094 (45.760)	Prec@5 75.000 (76.165)
Epoch: [57][1290/14090]	Time 0.755 (0.754)	Data 0.001 (0.005)	Loss 2.2424 (2.1396)	Prec@1 46.875 (45.748)	Prec@5 78.906 (76.160)
Epoch: [57][1300/14090]	Time 0.763 (0.754)	Data 0.001 (0.005)	Loss 2.2187 (2.1405)	Prec@1 46.875 (45.734)	Prec@5 78.125 (76.147)
Epoch: [57][1310/14090]	Time 0.735 (0.754)	Data 0.002 (0.005)	Loss 2.2760 (2.1404)	Prec@1 46.094 (45.731)	Prec@5 75.000 (76.152)
Epoch: [57][1320/14090]	Time 0.751 (0.754)	Data 0.001 (0.005)	Loss 2.0833 (2.1404)	Prec@1 46.875 (45.735)	Prec@5 79.688 (76.149)
Epoch: [57][1330/14090]	Time 0.739 (0.754)	Data 0.001 (0.005)	Loss 2.1103 (2.1396)	Prec@1 43.750 (45.763)	Prec@5 71.875 (76.155)
Epoch: [57][1340/14090]	Time 0.754 (0.754)	Data 0.001 (0.005)	Loss 2.0676 (2.1391)	Prec@1 44.531 (45.767)	Prec@5 76.562 (76.163)
Epoch: [57][1350/14090]	Time 0.750 (0.754)	Data 0.001 (0.005)	Loss 2.2239 (2.1390)	Prec@1 41.406 (45.766)	Prec@5 73.438 (76.164)
Epoch: [57][1360/14090]	Time 0.755 (0.754)	Data 0.001 (0.005)	Loss 1.8666 (2.1389)	Prec@1 51.562 (45.769)	Prec@5 81.250 (76.165)
Epoch: [57][1370/14090]	Time 0.752 (0.754)	Data 0.001 (0.005)	Loss 2.4351 (2.1392)	Prec@1 40.625 (45.752)	Prec@5 70.312 (76.165)
Epoch: [57][1380/14090]	Time 0.721 (0.753)	Data 0.002 (0.005)	Loss 2.1095 (2.1390)	Prec@1 46.875 (45.755)	Prec@5 75.781 (76.167)
Epoch: [57][1390/14090]	Time 0.768 (0.753)	Data 0.001 (0.005)	Loss 1.7635 (2.1389)	Prec@1 53.906 (45.751)	Prec@5 81.250 (76.170)
Epoch: [57][1400/14090]	Time 0.742 (0.753)	Data 0.001 (0.005)	Loss 2.4708 (2.1393)	Prec@1 37.500 (45.751)	Prec@5 67.969 (76.158)
Epoch: [57][1410/14090]	Time 0.770 (0.753)	Data 0.001 (0.005)	Loss 2.3149 (2.1396)	Prec@1 42.969 (45.734)	Prec@5 75.000 (76.156)
Epoch: [57][1420/14090]	Time 0.753 (0.753)	Data 0.001 (0.005)	Loss 2.3520 (2.1395)	Prec@1 38.281 (45.733)	Prec@5 71.875 (76.160)
Epoch: [57][1430/14090]	Time 0.733 (0.753)	Data 0.001 (0.005)	Loss 2.2154 (2.1395)	Prec@1 45.312 (45.731)	Prec@5 76.562 (76.169)
Epoch: [57][1440/14090]	Time 0.761 (0.753)	Data 0.001 (0.005)	Loss 2.1575 (2.1396)	Prec@1 40.625 (45.729)	Prec@5 73.438 (76.169)
Epoch: [57][1450/14090]	Time 0.780 (0.753)	Data 0.001 (0.005)	Loss 2.2043 (2.1393)	Prec@1 46.094 (45.738)	Prec@5 79.688 (76.177)
Epoch: [57][1460/14090]	Time 0.763 (0.753)	Data 0.001 (0.005)	Loss 2.2100 (2.1388)	Prec@1 45.312 (45.743)	Prec@5 74.219 (76.184)
Epoch: [57][1470/14090]	Time 0.754 (0.753)	Data 0.001 (0.005)	Loss 2.1647 (2.1390)	Prec@1 49.219 (45.735)	Prec@5 76.562 (76.186)
Epoch: [57][1480/14090]	Time 0.761 (0.753)	Data 0.001 (0.005)	Loss 2.1902 (2.1393)	Prec@1 49.219 (45.728)	Prec@5 75.000 (76.182)
Epoch: [57][1490/14090]	Time 0.740 (0.753)	Data 0.001 (0.005)	Loss 2.2004 (2.1389)	Prec@1 41.406 (45.729)	Prec@5 73.438 (76.190)
Epoch: [57][1500/14090]	Time 0.772 (0.753)	Data 0.001 (0.005)	Loss 2.1449 (2.1388)	Prec@1 45.312 (45.724)	Prec@5 81.250 (76.206)
Epoch: [57][1510/14090]	Time 0.738 (0.753)	Data 0.001 (0.005)	Loss 2.0381 (2.1391)	Prec@1 48.438 (45.730)	Prec@5 78.125 (76.204)
Epoch: [57][1520/14090]	Time 0.733 (0.753)	Data 0.002 (0.004)	Loss 1.8738 (2.1394)	Prec@1 51.562 (45.724)	Prec@5 78.906 (76.196)
Epoch: [57][1530/14090]	Time 0.761 (0.753)	Data 0.001 (0.004)	Loss 2.4771 (2.1394)	Prec@1 39.844 (45.726)	Prec@5 68.750 (76.191)
Epoch: [57][1540/14090]	Time 0.760 (0.753)	Data 0.001 (0.004)	Loss 1.9398 (2.1395)	Prec@1 55.469 (45.738)	Prec@5 78.125 (76.179)
Epoch: [57][1550/14090]	Time 0.743 (0.753)	Data 0.001 (0.004)	Loss 2.0747 (2.1402)	Prec@1 42.969 (45.718)	Prec@5 76.562 (76.166)
Epoch: [57][1560/14090]	Time 0.761 (0.753)	Data 0.001 (0.004)	Loss 2.1896 (2.1401)	Prec@1 46.875 (45.727)	Prec@5 75.781 (76.167)
Epoch: [57][1570/14090]	Time 0.760 (0.753)	Data 0.001 (0.004)	Loss 2.4309 (2.1403)	Prec@1 38.281 (45.718)	Prec@5 72.656 (76.165)
Epoch: [57][1580/14090]	Time 0.760 (0.753)	Data 0.001 (0.004)	Loss 2.1733 (2.1408)	Prec@1 43.750 (45.709)	Prec@5 77.344 (76.161)
Epoch: [57][1590/14090]	Time 0.751 (0.753)	Data 0.002 (0.004)	Loss 2.0859 (2.1409)	Prec@1 44.531 (45.695)	Prec@5 79.688 (76.163)
Epoch: [57][1600/14090]	Time 0.754 (0.753)	Data 0.001 (0.004)	Loss 2.0556 (2.1411)	Prec@1 44.531 (45.690)	Prec@5 81.250 (76.162)
Epoch: [57][1610/14090]	Time 0.748 (0.753)	Data 0.001 (0.004)	Loss 2.3927 (2.1412)	Prec@1 42.969 (45.687)	Prec@5 73.438 (76.163)
Epoch: [57][1620/14090]	Time 0.744 (0.753)	Data 0.001 (0.004)	Loss 2.1117 (2.1411)	Prec@1 43.750 (45.683)	Prec@5 78.906 (76.165)
Epoch: [57][1630/14090]	Time 0.747 (0.753)	Data 0.001 (0.004)	Loss 2.4223 (2.1416)	Prec@1 41.406 (45.674)	Prec@5 72.656 (76.163)
Epoch: [57][1640/14090]	Time 0.751 (0.753)	Data 0.001 (0.004)	Loss 2.1263 (2.1422)	Prec@1 46.875 (45.661)	Prec@5 75.781 (76.156)
Epoch: [57][1650/14090]	Time 0.740 (0.753)	Data 0.001 (0.004)	Loss 2.0781 (2.1424)	Prec@1 44.531 (45.654)	Prec@5 78.125 (76.154)
Epoch: [57][1660/14090]	Time 0.783 (0.753)	Data 0.002 (0.004)	Loss 1.9794 (2.1429)	Prec@1 48.438 (45.639)	Prec@5 81.250 (76.149)
Epoch: [57][1670/14090]	Time 0.757 (0.753)	Data 0.001 (0.004)	Loss 2.0829 (2.1425)	Prec@1 48.438 (45.649)	Prec@5 74.219 (76.161)
Epoch: [57][1680/14090]	Time 0.761 (0.753)	Data 0.001 (0.004)	Loss 2.1642 (2.1423)	Prec@1 42.969 (45.659)	Prec@5 72.656 (76.166)
Epoch: [57][1690/14090]	Time 0.735 (0.753)	Data 0.001 (0.004)	Loss 2.2586 (2.1419)	Prec@1 42.188 (45.671)	Prec@5 75.781 (76.173)
Epoch: [57][1700/14090]	Time 0.759 (0.753)	Data 0.001 (0.004)	Loss 2.0791 (2.1416)	Prec@1 47.656 (45.677)	Prec@5 78.906 (76.179)
Epoch: [57][1710/14090]	Time 0.754 (0.753)	Data 0.001 (0.004)	Loss 1.9873 (2.1419)	Prec@1 48.438 (45.673)	Prec@5 80.469 (76.176)
Epoch: [57][1720/14090]	Time 0.758 (0.753)	Data 0.001 (0.004)	Loss 1.9448 (2.1423)	Prec@1 48.438 (45.658)	Prec@5 78.906 (76.164)
Epoch: [57][1730/14090]	Time 0.753 (0.753)	Data 0.002 (0.004)	Loss 2.1449 (2.1424)	Prec@1 47.656 (45.656)	Prec@5 75.781 (76.163)
Epoch: [57][1740/14090]	Time 0.753 (0.753)	Data 0.001 (0.004)	Loss 2.4505 (2.1424)	Prec@1 41.406 (45.658)	Prec@5 69.531 (76.160)
Epoch: [57][1750/14090]	Time 0.769 (0.753)	Data 0.001 (0.004)	Loss 2.5173 (2.1424)	Prec@1 45.312 (45.659)	Prec@5 69.531 (76.161)
Epoch: [57][1760/14090]	Time 0.744 (0.753)	Data 0.001 (0.004)	Loss 2.1560 (2.1426)	Prec@1 46.875 (45.653)	Prec@5 76.562 (76.154)
Epoch: [57][1770/14090]	Time 0.735 (0.753)	Data 0.001 (0.004)	Loss 2.0646 (2.1430)	Prec@1 44.531 (45.644)	Prec@5 78.906 (76.144)
Epoch: [57][1780/14090]	Time 0.778 (0.753)	Data 0.001 (0.004)	Loss 2.1135 (2.1431)	Prec@1 45.312 (45.653)	Prec@5 78.125 (76.140)
Epoch: [57][1790/14090]	Time 0.739 (0.753)	Data 0.001 (0.004)	Loss 2.0917 (2.1432)	Prec@1 45.312 (45.660)	Prec@5 78.906 (76.143)
Epoch: [57][1800/14090]	Time 0.734 (0.753)	Data 0.002 (0.004)	Loss 1.9356 (2.1432)	Prec@1 50.000 (45.664)	Prec@5 80.469 (76.143)
Epoch: [57][1810/14090]	Time 0.783 (0.753)	Data 0.001 (0.004)	Loss 2.1263 (2.1436)	Prec@1 39.062 (45.652)	Prec@5 78.906 (76.140)
Epoch: [57][1820/14090]	Time 0.751 (0.753)	Data 0.001 (0.004)	Loss 2.0022 (2.1436)	Prec@1 46.875 (45.645)	Prec@5 80.469 (76.142)
Epoch: [57][1830/14090]	Time 0.762 (0.753)	Data 0.001 (0.004)	Loss 2.4038 (2.1438)	Prec@1 33.594 (45.636)	Prec@5 71.875 (76.138)
Epoch: [57][1840/14090]	Time 0.759 (0.753)	Data 0.001 (0.004)	Loss 2.2163 (2.1436)	Prec@1 45.312 (45.639)	Prec@5 75.781 (76.139)
Epoch: [57][1850/14090]	Time 0.735 (0.753)	Data 0.001 (0.004)	Loss 2.2120 (2.1439)	Prec@1 44.531 (45.635)	Prec@5 74.219 (76.128)
Epoch: [57][1860/14090]	Time 0.744 (0.753)	Data 0.001 (0.004)	Loss 2.1184 (2.1445)	Prec@1 51.562 (45.626)	Prec@5 76.562 (76.116)
Epoch: [57][1870/14090]	Time 0.760 (0.753)	Data 0.002 (0.004)	Loss 2.1371 (2.1442)	Prec@1 42.188 (45.618)	Prec@5 77.344 (76.126)
Epoch: [57][1880/14090]	Time 0.759 (0.753)	Data 0.001 (0.004)	Loss 2.0921 (2.1445)	Prec@1 42.188 (45.615)	Prec@5 75.781 (76.119)
Epoch: [57][1890/14090]	Time 0.738 (0.752)	Data 0.001 (0.004)	Loss 1.7662 (2.1443)	Prec@1 52.344 (45.621)	Prec@5 82.812 (76.117)
Epoch: [57][1900/14090]	Time 0.757 (0.752)	Data 0.001 (0.004)	Loss 2.2380 (2.1445)	Prec@1 45.312 (45.620)	Prec@5 75.000 (76.111)
Epoch: [57][1910/14090]	Time 0.753 (0.752)	Data 0.001 (0.004)	Loss 2.0703 (2.1450)	Prec@1 46.875 (45.610)	Prec@5 77.344 (76.105)
Epoch: [57][1920/14090]	Time 0.743 (0.752)	Data 0.001 (0.004)	Loss 2.2047 (2.1450)	Prec@1 46.094 (45.617)	Prec@5 73.438 (76.104)
Epoch: [57][1930/14090]	Time 0.753 (0.752)	Data 0.001 (0.004)	Loss 2.3124 (2.1453)	Prec@1 45.312 (45.605)	Prec@5 74.219 (76.105)
Epoch: [57][1940/14090]	Time 0.730 (0.752)	Data 0.002 (0.004)	Loss 2.1970 (2.1453)	Prec@1 46.875 (45.601)	Prec@5 75.000 (76.111)
Epoch: [57][1950/14090]	Time 0.788 (0.752)	Data 0.001 (0.004)	Loss 2.1624 (2.1448)	Prec@1 46.875 (45.618)	Prec@5 78.906 (76.120)
Epoch: [57][1960/14090]	Time 0.728 (0.752)	Data 0.001 (0.004)	Loss 2.3312 (2.1450)	Prec@1 46.094 (45.618)	Prec@5 74.219 (76.117)
Epoch: [57][1970/14090]	Time 0.759 (0.752)	Data 0.001 (0.004)	Loss 2.3843 (2.1445)	Prec@1 42.969 (45.624)	Prec@5 72.656 (76.128)
Epoch: [57][1980/14090]	Time 0.743 (0.752)	Data 0.001 (0.004)	Loss 2.1698 (2.1445)	Prec@1 49.219 (45.628)	Prec@5 74.219 (76.125)
Epoch: [57][1990/14090]	Time 0.771 (0.752)	Data 0.001 (0.004)	Loss 2.1691 (2.1447)	Prec@1 43.750 (45.621)	Prec@5 73.438 (76.117)
Epoch: [57][2000/14090]	Time 0.761 (0.752)	Data 0.001 (0.004)	Loss 2.5608 (2.1451)	Prec@1 37.500 (45.613)	Prec@5 67.188 (76.111)
Epoch: [57][2010/14090]	Time 0.757 (0.752)	Data 0.002 (0.004)	Loss 1.9858 (2.1451)	Prec@1 46.094 (45.617)	Prec@5 76.562 (76.108)
Epoch: [57][2020/14090]	Time 0.735 (0.752)	Data 0.001 (0.004)	Loss 2.0351 (2.1454)	Prec@1 50.781 (45.608)	Prec@5 77.344 (76.104)
Epoch: [57][2030/14090]	Time 0.735 (0.752)	Data 0.001 (0.004)	Loss 2.3008 (2.1452)	Prec@1 39.062 (45.613)	Prec@5 74.219 (76.106)
Epoch: [57][2040/14090]	Time 0.725 (0.752)	Data 0.001 (0.004)	Loss 2.2825 (2.1452)	Prec@1 39.062 (45.606)	Prec@5 71.094 (76.108)
Epoch: [57][2050/14090]	Time 0.753 (0.752)	Data 0.001 (0.004)	Loss 2.0142 (2.1452)	Prec@1 50.781 (45.605)	Prec@5 78.906 (76.104)
Epoch: [57][2060/14090]	Time 0.745 (0.752)	Data 0.001 (0.004)	Loss 2.2595 (2.1450)	Prec@1 42.188 (45.612)	Prec@5 75.000 (76.106)
Epoch: [57][2070/14090]	Time 0.735 (0.752)	Data 0.001 (0.004)	Loss 2.2765 (2.1456)	Prec@1 45.312 (45.598)	Prec@5 72.656 (76.092)
Epoch: [57][2080/14090]	Time 0.740 (0.752)	Data 0.002 (0.004)	Loss 2.2076 (2.1455)	Prec@1 42.969 (45.601)	Prec@5 75.781 (76.097)
Epoch: [57][2090/14090]	Time 0.751 (0.752)	Data 0.001 (0.004)	Loss 2.2021 (2.1452)	Prec@1 46.094 (45.609)	Prec@5 73.438 (76.103)
Epoch: [57][2100/14090]	Time 0.731 (0.752)	Data 0.001 (0.003)	Loss 2.1883 (2.1453)	Prec@1 43.750 (45.605)	Prec@5 78.125 (76.097)
Epoch: [57][2110/14090]	Time 0.742 (0.752)	Data 0.001 (0.003)	Loss 2.3109 (2.1454)	Prec@1 42.969 (45.604)	Prec@5 73.438 (76.096)
Epoch: [57][2120/14090]	Time 0.723 (0.752)	Data 0.001 (0.003)	Loss 2.1971 (2.1455)	Prec@1 41.406 (45.600)	Prec@5 75.000 (76.095)
Epoch: [57][2130/14090]	Time 0.759 (0.752)	Data 0.001 (0.003)	Loss 1.9552 (2.1459)	Prec@1 48.438 (45.586)	Prec@5 78.906 (76.085)
Epoch: [57][2140/14090]	Time 0.724 (0.752)	Data 0.001 (0.003)	Loss 1.9569 (2.1460)	Prec@1 42.969 (45.583)	Prec@5 81.250 (76.082)
Epoch: [57][2150/14090]	Time 0.747 (0.752)	Data 0.002 (0.003)	Loss 2.1602 (2.1462)	Prec@1 47.656 (45.578)	Prec@5 73.438 (76.081)
Epoch: [57][2160/14090]	Time 0.730 (0.752)	Data 0.001 (0.003)	Loss 2.1792 (2.1462)	Prec@1 41.406 (45.579)	Prec@5 80.469 (76.089)
Epoch: [57][2170/14090]	Time 0.738 (0.752)	Data 0.001 (0.003)	Loss 2.3080 (2.1462)	Prec@1 47.656 (45.573)	Prec@5 70.312 (76.082)
Epoch: [57][2180/14090]	Time 0.745 (0.752)	Data 0.001 (0.003)	Loss 2.0877 (2.1463)	Prec@1 41.406 (45.570)	Prec@5 75.781 (76.085)
Epoch: [57][2190/14090]	Time 0.744 (0.752)	Data 0.001 (0.003)	Loss 2.0314 (2.1462)	Prec@1 46.875 (45.558)	Prec@5 82.031 (76.092)
Epoch: [57][2200/14090]	Time 0.771 (0.752)	Data 0.001 (0.003)	Loss 2.2300 (2.1465)	Prec@1 43.750 (45.562)	Prec@5 75.781 (76.088)
Epoch: [57][2210/14090]	Time 0.745 (0.752)	Data 0.001 (0.003)	Loss 2.2027 (2.1466)	Prec@1 40.625 (45.561)	Prec@5 69.531 (76.082)
Epoch: [57][2220/14090]	Time 0.755 (0.752)	Data 0.002 (0.003)	Loss 2.4296 (2.1470)	Prec@1 35.938 (45.546)	Prec@5 68.750 (76.071)
Epoch: [57][2230/14090]	Time 0.758 (0.752)	Data 0.001 (0.003)	Loss 2.1115 (2.1469)	Prec@1 40.625 (45.553)	Prec@5 76.562 (76.072)
Epoch: [57][2240/14090]	Time 0.743 (0.752)	Data 0.001 (0.003)	Loss 2.2951 (2.1469)	Prec@1 43.750 (45.548)	Prec@5 71.094 (76.073)
Epoch: [57][2250/14090]	Time 0.727 (0.752)	Data 0.001 (0.003)	Loss 2.1293 (2.1473)	Prec@1 42.969 (45.547)	Prec@5 78.125 (76.067)
Epoch: [57][2260/14090]	Time 0.767 (0.752)	Data 0.001 (0.003)	Loss 2.3204 (2.1471)	Prec@1 43.750 (45.552)	Prec@5 75.000 (76.069)
Epoch: [57][2270/14090]	Time 0.732 (0.752)	Data 0.001 (0.003)	Loss 2.2160 (2.1472)	Prec@1 43.750 (45.551)	Prec@5 77.344 (76.071)
Epoch: [57][2280/14090]	Time 0.765 (0.752)	Data 0.001 (0.003)	Loss 2.1984 (2.1473)	Prec@1 42.969 (45.551)	Prec@5 75.781 (76.070)
Epoch: [57][2290/14090]	Time 0.763 (0.752)	Data 0.002 (0.003)	Loss 1.8890 (2.1471)	Prec@1 53.125 (45.554)	Prec@5 80.469 (76.073)
Epoch: [57][2300/14090]	Time 0.750 (0.752)	Data 0.001 (0.003)	Loss 2.2146 (2.1469)	Prec@1 39.844 (45.555)	Prec@5 76.562 (76.078)
Epoch: [57][2310/14090]	Time 0.743 (0.752)	Data 0.001 (0.003)	Loss 2.1136 (2.1467)	Prec@1 46.094 (45.564)	Prec@5 80.469 (76.085)
Epoch: [57][2320/14090]	Time 0.762 (0.752)	Data 0.001 (0.003)	Loss 2.1408 (2.1469)	Prec@1 49.219 (45.564)	Prec@5 75.000 (76.087)
Epoch: [57][2330/14090]	Time 0.729 (0.752)	Data 0.001 (0.003)	Loss 2.4784 (2.1469)	Prec@1 44.531 (45.559)	Prec@5 66.406 (76.091)
Epoch: [57][2340/14090]	Time 0.747 (0.752)	Data 0.001 (0.003)	Loss 2.1398 (2.1470)	Prec@1 46.094 (45.554)	Prec@5 75.000 (76.080)
Epoch: [57][2350/14090]	Time 0.753 (0.752)	Data 0.001 (0.003)	Loss 2.2261 (2.1474)	Prec@1 35.938 (45.541)	Prec@5 77.344 (76.073)
Epoch: [57][2360/14090]	Time 0.738 (0.752)	Data 0.002 (0.003)	Loss 2.1698 (2.1476)	Prec@1 41.406 (45.533)	Prec@5 77.344 (76.073)
Epoch: [57][2370/14090]	Time 0.739 (0.752)	Data 0.001 (0.003)	Loss 2.2900 (2.1480)	Prec@1 41.406 (45.525)	Prec@5 78.125 (76.073)
Epoch: [57][2380/14090]	Time 0.759 (0.752)	Data 0.001 (0.003)	Loss 2.2682 (2.1483)	Prec@1 46.875 (45.515)	Prec@5 76.562 (76.073)
Epoch: [57][2390/14090]	Time 0.755 (0.752)	Data 0.001 (0.003)	Loss 2.0539 (2.1484)	Prec@1 49.219 (45.511)	Prec@5 77.344 (76.072)
Epoch: [57][2400/14090]	Time 0.736 (0.752)	Data 0.001 (0.003)	Loss 1.9332 (2.1485)	Prec@1 56.250 (45.514)	Prec@5 75.781 (76.073)
Epoch: [57][2410/14090]	Time 0.760 (0.752)	Data 0.001 (0.003)	Loss 1.9891 (2.1486)	Prec@1 53.125 (45.510)	Prec@5 75.000 (76.074)
Epoch: [57][2420/14090]	Time 0.752 (0.752)	Data 0.001 (0.003)	Loss 2.1986 (2.1485)	Prec@1 47.656 (45.513)	Prec@5 75.781 (76.080)
Epoch: [57][2430/14090]	Time 0.758 (0.752)	Data 0.002 (0.003)	Loss 1.8329 (2.1482)	Prec@1 46.094 (45.522)	Prec@5 84.375 (76.085)
Epoch: [57][2440/14090]	Time 0.751 (0.752)	Data 0.001 (0.003)	Loss 2.3198 (2.1483)	Prec@1 42.188 (45.523)	Prec@5 72.656 (76.083)
Epoch: [57][2450/14090]	Time 0.772 (0.752)	Data 0.001 (0.003)	Loss 2.2524 (2.1485)	Prec@1 45.312 (45.520)	Prec@5 68.750 (76.078)
Epoch: [57][2460/14090]	Time 0.748 (0.752)	Data 0.001 (0.003)	Loss 2.0273 (2.1486)	Prec@1 44.531 (45.523)	Prec@5 82.031 (76.081)
Epoch: [57][2470/14090]	Time 0.728 (0.752)	Data 0.001 (0.003)	Loss 2.2256 (2.1491)	Prec@1 48.438 (45.512)	Prec@5 72.656 (76.070)
Epoch: [57][2480/14090]	Time 0.759 (0.752)	Data 0.001 (0.003)	Loss 2.2878 (2.1495)	Prec@1 41.406 (45.503)	Prec@5 72.656 (76.063)
Epoch: [57][2490/14090]	Time 0.760 (0.752)	Data 0.001 (0.003)	Loss 1.7177 (2.1495)	Prec@1 54.688 (45.505)	Prec@5 82.812 (76.064)
Epoch: [57][2500/14090]	Time 0.764 (0.752)	Data 0.002 (0.003)	Loss 2.1186 (2.1495)	Prec@1 45.312 (45.507)	Prec@5 78.125 (76.059)
Epoch: [57][2510/14090]	Time 0.737 (0.752)	Data 0.001 (0.003)	Loss 1.9460 (2.1500)	Prec@1 46.875 (45.497)	Prec@5 81.250 (76.049)
Epoch: [57][2520/14090]	Time 0.736 (0.752)	Data 0.001 (0.003)	Loss 2.1054 (2.1500)	Prec@1 46.094 (45.489)	Prec@5 76.562 (76.049)
Epoch: [57][2530/14090]	Time 0.746 (0.752)	Data 0.001 (0.003)	Loss 2.3837 (2.1502)	Prec@1 37.500 (45.479)	Prec@5 71.875 (76.047)
Epoch: [57][2540/14090]	Time 0.756 (0.752)	Data 0.001 (0.003)	Loss 2.2503 (2.1502)	Prec@1 39.062 (45.476)	Prec@5 78.125 (76.049)
Epoch: [57][2550/14090]	Time 0.740 (0.752)	Data 0.001 (0.003)	Loss 2.1962 (2.1503)	Prec@1 47.656 (45.476)	Prec@5 75.781 (76.050)
Epoch: [57][2560/14090]	Time 0.764 (0.752)	Data 0.001 (0.003)	Loss 2.1151 (2.1506)	Prec@1 50.000 (45.474)	Prec@5 72.656 (76.043)
Epoch: [57][2570/14090]	Time 0.774 (0.752)	Data 0.002 (0.003)	Loss 1.8826 (2.1506)	Prec@1 52.344 (45.477)	Prec@5 80.469 (76.043)
Epoch: [57][2580/14090]	Time 0.759 (0.752)	Data 0.001 (0.003)	Loss 2.0811 (2.1508)	Prec@1 45.312 (45.475)	Prec@5 78.906 (76.038)
Epoch: [57][2590/14090]	Time 0.744 (0.752)	Data 0.001 (0.003)	Loss 2.1895 (2.1512)	Prec@1 44.531 (45.468)	Prec@5 80.469 (76.033)
Epoch: [57][2600/14090]	Time 0.727 (0.752)	Data 0.001 (0.003)	Loss 2.1078 (2.1512)	Prec@1 49.219 (45.466)	Prec@5 75.781 (76.031)
Epoch: [57][2610/14090]	Time 0.745 (0.752)	Data 0.001 (0.003)	Loss 2.0228 (2.1511)	Prec@1 50.000 (45.467)	Prec@5 80.469 (76.034)
Epoch: [57][2620/14090]	Time 0.763 (0.752)	Data 0.001 (0.003)	Loss 1.8558 (2.1511)	Prec@1 50.781 (45.469)	Prec@5 79.688 (76.028)
Epoch: [57][2630/14090]	Time 0.754 (0.752)	Data 0.001 (0.003)	Loss 2.1948 (2.1509)	Prec@1 39.062 (45.468)	Prec@5 72.656 (76.029)
Epoch: [57][2640/14090]	Time 0.753 (0.752)	Data 0.002 (0.003)	Loss 2.0428 (2.1507)	Prec@1 39.062 (45.470)	Prec@5 83.594 (76.037)
Epoch: [57][2650/14090]	Time 0.752 (0.752)	Data 0.001 (0.003)	Loss 2.3651 (2.1509)	Prec@1 41.406 (45.464)	Prec@5 71.094 (76.036)
Epoch: [57][2660/14090]	Time 0.740 (0.752)	Data 0.001 (0.003)	Loss 2.1573 (2.1507)	Prec@1 50.781 (45.473)	Prec@5 77.344 (76.036)
Epoch: [57][2670/14090]	Time 0.748 (0.752)	Data 0.001 (0.003)	Loss 2.2541 (2.1510)	Prec@1 42.188 (45.469)	Prec@5 75.000 (76.029)
Epoch: [57][2680/14090]	Time 0.751 (0.752)	Data 0.001 (0.003)	Loss 2.2804 (2.1512)	Prec@1 46.094 (45.458)	Prec@5 73.438 (76.025)
Epoch: [57][2690/14090]	Time 0.757 (0.752)	Data 0.001 (0.003)	Loss 2.1604 (2.1513)	Prec@1 43.750 (45.459)	Prec@5 74.219 (76.022)
Epoch: [57][2700/14090]	Time 0.761 (0.752)	Data 0.001 (0.003)	Loss 2.3793 (2.1515)	Prec@1 42.188 (45.457)	Prec@5 75.781 (76.024)
Epoch: [57][2710/14090]	Time 0.730 (0.752)	Data 0.002 (0.003)	Loss 2.3345 (2.1517)	Prec@1 37.500 (45.458)	Prec@5 73.438 (76.022)
Epoch: [57][2720/14090]	Time 0.751 (0.752)	Data 0.001 (0.003)	Loss 2.3214 (2.1518)	Prec@1 42.969 (45.462)	Prec@5 71.094 (76.015)
Epoch: [57][2730/14090]	Time 0.757 (0.752)	Data 0.001 (0.003)	Loss 2.2879 (2.1518)	Prec@1 42.188 (45.454)	Prec@5 71.875 (76.013)
Epoch: [57][2740/14090]	Time 0.762 (0.752)	Data 0.001 (0.003)	Loss 2.4179 (2.1518)	Prec@1 42.969 (45.454)	Prec@5 71.875 (76.011)
Epoch: [57][2750/14090]	Time 0.738 (0.752)	Data 0.001 (0.003)	Loss 2.1445 (2.1522)	Prec@1 50.781 (45.449)	Prec@5 73.438 (76.002)
Epoch: [57][2760/14090]	Time 0.765 (0.752)	Data 0.001 (0.003)	Loss 2.1366 (2.1522)	Prec@1 41.406 (45.450)	Prec@5 78.906 (76.006)
Epoch: [57][2770/14090]	Time 0.756 (0.752)	Data 0.001 (0.003)	Loss 2.2567 (2.1524)	Prec@1 39.844 (45.443)	Prec@5 76.562 (75.999)
Epoch: [57][2780/14090]	Time 0.742 (0.752)	Data 0.002 (0.003)	Loss 2.1412 (2.1526)	Prec@1 40.625 (45.436)	Prec@5 73.438 (75.995)
Epoch: [57][2790/14090]	Time 0.755 (0.752)	Data 0.001 (0.003)	Loss 2.2880 (2.1528)	Prec@1 44.531 (45.434)	Prec@5 75.781 (75.994)
Epoch: [57][2800/14090]	Time 0.731 (0.752)	Data 0.001 (0.003)	Loss 1.9604 (2.1527)	Prec@1 47.656 (45.434)	Prec@5 80.469 (75.997)
Epoch: [57][2810/14090]	Time 0.757 (0.752)	Data 0.001 (0.003)	Loss 2.1770 (2.1528)	Prec@1 42.969 (45.434)	Prec@5 67.969 (75.989)
Epoch: [57][2820/14090]	Time 0.761 (0.752)	Data 0.001 (0.003)	Loss 2.4183 (2.1527)	Prec@1 43.750 (45.440)	Prec@5 68.750 (75.987)
Epoch: [57][2830/14090]	Time 0.752 (0.752)	Data 0.001 (0.003)	Loss 2.1849 (2.1526)	Prec@1 46.094 (45.434)	Prec@5 78.906 (75.990)
Epoch: [57][2840/14090]	Time 0.730 (0.752)	Data 0.001 (0.003)	Loss 1.9006 (2.1525)	Prec@1 49.219 (45.432)	Prec@5 78.906 (75.995)
Epoch: [57][2850/14090]	Time 0.741 (0.752)	Data 0.002 (0.003)	Loss 2.3258 (2.1525)	Prec@1 40.625 (45.431)	Prec@5 67.969 (75.990)
Epoch: [57][2860/14090]	Time 0.738 (0.751)	Data 0.001 (0.003)	Loss 2.2003 (2.1526)	Prec@1 42.188 (45.428)	Prec@5 75.000 (75.988)
Epoch: [57][2870/14090]	Time 0.746 (0.751)	Data 0.001 (0.003)	Loss 2.1023 (2.1527)	Prec@1 42.969 (45.430)	Prec@5 74.219 (75.988)
Epoch: [57][2880/14090]	Time 0.743 (0.751)	Data 0.001 (0.003)	Loss 2.0176 (2.1527)	Prec@1 48.438 (45.433)	Prec@5 79.688 (75.986)
Epoch: [57][2890/14090]	Time 0.744 (0.751)	Data 0.001 (0.003)	Loss 1.9790 (2.1526)	Prec@1 50.781 (45.443)	Prec@5 79.688 (75.988)
Epoch: [57][2900/14090]	Time 0.738 (0.751)	Data 0.001 (0.003)	Loss 2.1921 (2.1525)	Prec@1 46.875 (45.444)	Prec@5 76.562 (75.990)
Epoch: [57][2910/14090]	Time 0.758 (0.751)	Data 0.001 (0.003)	Loss 2.2436 (2.1524)	Prec@1 36.719 (45.439)	Prec@5 77.344 (75.993)
Epoch: [57][2920/14090]	Time 0.755 (0.751)	Data 0.002 (0.003)	Loss 2.1410 (2.1527)	Prec@1 43.750 (45.431)	Prec@5 74.219 (75.989)
Epoch: [57][2930/14090]	Time 0.731 (0.751)	Data 0.001 (0.003)	Loss 1.9808 (2.1529)	Prec@1 46.094 (45.434)	Prec@5 79.688 (75.988)
Epoch: [57][2940/14090]	Time 0.751 (0.751)	Data 0.001 (0.003)	Loss 2.3458 (2.1531)	Prec@1 43.750 (45.429)	Prec@5 73.438 (75.986)
Epoch: [57][2950/14090]	Time 0.775 (0.751)	Data 0.001 (0.003)	Loss 2.0782 (2.1534)	Prec@1 45.312 (45.422)	Prec@5 75.000 (75.982)
Epoch: [57][2960/14090]	Time 0.737 (0.751)	Data 0.001 (0.003)	Loss 1.9828 (2.1536)	Prec@1 53.906 (45.417)	Prec@5 78.906 (75.983)
Epoch: [57][2970/14090]	Time 0.785 (0.751)	Data 0.001 (0.003)	Loss 1.9534 (2.1535)	Prec@1 53.125 (45.418)	Prec@5 80.469 (75.984)
Epoch: [57][2980/14090]	Time 0.753 (0.751)	Data 0.001 (0.003)	Loss 1.9921 (2.1535)	Prec@1 44.531 (45.418)	Prec@5 81.250 (75.986)
Epoch: [57][2990/14090]	Time 0.745 (0.751)	Data 0.001 (0.003)	Loss 2.3401 (2.1533)	Prec@1 48.438 (45.428)	Prec@5 71.094 (75.989)
Epoch: [57][3000/14090]	Time 0.740 (0.751)	Data 0.001 (0.003)	Loss 2.3539 (2.1531)	Prec@1 36.719 (45.426)	Prec@5 71.094 (75.992)
Epoch: [57][3010/14090]	Time 0.765 (0.751)	Data 0.001 (0.003)	Loss 2.2309 (2.1530)	Prec@1 42.188 (45.431)	Prec@5 74.219 (75.994)
Epoch: [57][3020/14090]	Time 0.734 (0.751)	Data 0.001 (0.003)	Loss 2.2608 (2.1532)	Prec@1 41.406 (45.429)	Prec@5 75.000 (75.986)
Epoch: [57][3030/14090]	Time 0.743 (0.751)	Data 0.001 (0.003)	Loss 1.8659 (2.1531)	Prec@1 51.562 (45.431)	Prec@5 77.344 (75.982)
Epoch: [57][3040/14090]	Time 0.727 (0.751)	Data 0.001 (0.003)	Loss 2.1703 (2.1533)	Prec@1 51.562 (45.430)	Prec@5 75.000 (75.977)
Epoch: [57][3050/14090]	Time 0.763 (0.751)	Data 0.001 (0.003)	Loss 2.3420 (2.1534)	Prec@1 38.281 (45.427)	Prec@5 68.750 (75.974)
Epoch: [57][3060/14090]	Time 0.773 (0.751)	Data 0.002 (0.003)	Loss 2.4425 (2.1535)	Prec@1 41.406 (45.424)	Prec@5 70.312 (75.968)
Epoch: [57][3070/14090]	Time 0.751 (0.751)	Data 0.001 (0.003)	Loss 1.9734 (2.1534)	Prec@1 46.094 (45.426)	Prec@5 79.688 (75.970)
Epoch: [57][3080/14090]	Time 0.743 (0.751)	Data 0.001 (0.003)	Loss 2.2606 (2.1533)	Prec@1 42.188 (45.426)	Prec@5 75.000 (75.973)
Epoch: [57][3090/14090]	Time 0.727 (0.751)	Data 0.001 (0.003)	Loss 2.0265 (2.1533)	Prec@1 51.562 (45.433)	Prec@5 77.344 (75.977)
Epoch: [57][3100/14090]	Time 0.753 (0.751)	Data 0.001 (0.003)	Loss 1.9941 (2.1533)	Prec@1 45.312 (45.431)	Prec@5 79.688 (75.976)
Epoch: [57][3110/14090]	Time 0.732 (0.751)	Data 0.002 (0.003)	Loss 2.1016 (2.1533)	Prec@1 51.562 (45.439)	Prec@5 75.781 (75.976)
Epoch: [57][3120/14090]	Time 0.761 (0.751)	Data 0.001 (0.003)	Loss 2.2030 (2.1533)	Prec@1 46.094 (45.436)	Prec@5 75.781 (75.973)
Epoch: [57][3130/14090]	Time 0.748 (0.751)	Data 0.002 (0.003)	Loss 2.0318 (2.1533)	Prec@1 46.094 (45.431)	Prec@5 79.688 (75.978)
Epoch: [57][3140/14090]	Time 0.761 (0.751)	Data 0.001 (0.003)	Loss 1.9827 (2.1534)	Prec@1 47.656 (45.433)	Prec@5 78.906 (75.977)
Epoch: [57][3150/14090]	Time 0.745 (0.751)	Data 0.001 (0.003)	Loss 1.9084 (2.1532)	Prec@1 50.781 (45.435)	Prec@5 81.250 (75.982)
Epoch: [57][3160/14090]	Time 0.738 (0.751)	Data 0.001 (0.003)	Loss 2.1723 (2.1534)	Prec@1 39.844 (45.429)	Prec@5 79.688 (75.976)
Epoch: [57][3170/14090]	Time 0.751 (0.751)	Data 0.001 (0.003)	Loss 2.0361 (2.1535)	Prec@1 47.656 (45.425)	Prec@5 74.219 (75.976)
Epoch: [57][3180/14090]	Time 0.741 (0.751)	Data 0.001 (0.003)	Loss 2.0301 (2.1536)	Prec@1 43.750 (45.425)	Prec@5 75.000 (75.972)
Epoch: [57][3190/14090]	Time 0.746 (0.751)	Data 0.001 (0.003)	Loss 2.3035 (2.1536)	Prec@1 39.062 (45.422)	Prec@5 74.219 (75.973)
Epoch: [57][3200/14090]	Time 0.743 (0.751)	Data 0.002 (0.003)	Loss 1.9862 (2.1538)	Prec@1 41.406 (45.416)	Prec@5 79.688 (75.976)
Epoch: [57][3210/14090]	Time 0.748 (0.751)	Data 0.001 (0.003)	Loss 2.0906 (2.1537)	Prec@1 50.781 (45.420)	Prec@5 77.344 (75.978)
Epoch: [57][3220/14090]	Time 0.750 (0.751)	Data 0.001 (0.003)	Loss 2.2428 (2.1537)	Prec@1 50.000 (45.424)	Prec@5 77.344 (75.977)
Epoch: [57][3230/14090]	Time 0.741 (0.751)	Data 0.001 (0.003)	Loss 2.0436 (2.1537)	Prec@1 46.875 (45.421)	Prec@5 77.344 (75.975)
Epoch: [57][3240/14090]	Time 0.753 (0.751)	Data 0.001 (0.003)	Loss 2.1110 (2.1539)	Prec@1 45.312 (45.422)	Prec@5 75.781 (75.968)
Epoch: [57][3250/14090]	Time 0.734 (0.751)	Data 0.001 (0.003)	Loss 2.1224 (2.1537)	Prec@1 45.312 (45.423)	Prec@5 75.000 (75.968)
Epoch: [57][3260/14090]	Time 0.754 (0.751)	Data 0.001 (0.003)	Loss 2.0448 (2.1537)	Prec@1 43.750 (45.419)	Prec@5 78.125 (75.970)
Epoch: [57][3270/14090]	Time 0.749 (0.751)	Data 0.002 (0.003)	Loss 1.8631 (2.1537)	Prec@1 50.781 (45.418)	Prec@5 79.688 (75.969)
Epoch: [57][3280/14090]	Time 0.738 (0.751)	Data 0.001 (0.003)	Loss 2.1416 (2.1536)	Prec@1 45.312 (45.419)	Prec@5 78.125 (75.969)
Epoch: [57][3290/14090]	Time 0.750 (0.751)	Data 0.001 (0.003)	Loss 1.6882 (2.1535)	Prec@1 50.000 (45.418)	Prec@5 87.500 (75.974)
Epoch: [57][3300/14090]	Time 0.752 (0.751)	Data 0.001 (0.003)	Loss 1.9980 (2.1533)	Prec@1 46.875 (45.423)	Prec@5 79.688 (75.972)
Epoch: [57][3310/14090]	Time 0.756 (0.751)	Data 0.001 (0.003)	Loss 2.1464 (2.1533)	Prec@1 47.656 (45.422)	Prec@5 73.438 (75.973)
Epoch: [57][3320/14090]	Time 0.752 (0.751)	Data 0.001 (0.003)	Loss 2.2683 (2.1534)	Prec@1 41.406 (45.416)	Prec@5 71.094 (75.969)
Epoch: [57][3330/14090]	Time 0.754 (0.751)	Data 0.001 (0.003)	Loss 2.2703 (2.1535)	Prec@1 42.969 (45.413)	Prec@5 73.438 (75.970)
Epoch: [57][3340/14090]	Time 0.742 (0.751)	Data 0.002 (0.003)	Loss 2.5663 (2.1535)	Prec@1 33.594 (45.412)	Prec@5 72.656 (75.971)
Epoch: [57][3350/14090]	Time 0.746 (0.751)	Data 0.001 (0.003)	Loss 1.9097 (2.1536)	Prec@1 50.781 (45.409)	Prec@5 78.125 (75.970)
Epoch: [57][3360/14090]	Time 0.759 (0.751)	Data 0.001 (0.003)	Loss 2.1606 (2.1537)	Prec@1 46.875 (45.409)	Prec@5 75.000 (75.966)
Epoch: [57][3370/14090]	Time 0.739 (0.751)	Data 0.001 (0.003)	Loss 2.1755 (2.1536)	Prec@1 43.750 (45.410)	Prec@5 78.125 (75.970)
Epoch: [57][3380/14090]	Time 0.752 (0.751)	Data 0.001 (0.003)	Loss 2.3782 (2.1536)	Prec@1 46.875 (45.410)	Prec@5 74.219 (75.970)
Epoch: [57][3390/14090]	Time 0.746 (0.751)	Data 0.001 (0.003)	Loss 2.1737 (2.1536)	Prec@1 40.625 (45.410)	Prec@5 72.656 (75.971)
Epoch: [57][3400/14090]	Time 0.765 (0.751)	Data 0.001 (0.003)	Loss 2.1067 (2.1538)	Prec@1 47.656 (45.407)	Prec@5 71.094 (75.960)
Epoch: [57][3410/14090]	Time 0.762 (0.751)	Data 0.002 (0.002)	Loss 1.8867 (2.1540)	Prec@1 46.875 (45.399)	Prec@5 78.906 (75.954)
Epoch: [57][3420/14090]	Time 0.758 (0.751)	Data 0.001 (0.002)	Loss 2.2345 (2.1541)	Prec@1 44.531 (45.400)	Prec@5 74.219 (75.952)
Epoch: [57][3430/14090]	Time 0.758 (0.751)	Data 0.001 (0.002)	Loss 2.0966 (2.1541)	Prec@1 51.562 (45.406)	Prec@5 75.781 (75.952)
Epoch: [57][3440/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 2.3885 (2.1540)	Prec@1 42.969 (45.408)	Prec@5 69.531 (75.955)
Epoch: [57][3450/14090]	Time 0.726 (0.751)	Data 0.001 (0.002)	Loss 2.0859 (2.1538)	Prec@1 45.312 (45.417)	Prec@5 76.562 (75.959)
Epoch: [57][3460/14090]	Time 0.746 (0.751)	Data 0.001 (0.002)	Loss 1.9475 (2.1537)	Prec@1 50.000 (45.422)	Prec@5 81.250 (75.960)
Epoch: [57][3470/14090]	Time 0.766 (0.751)	Data 0.001 (0.002)	Loss 2.2883 (2.1535)	Prec@1 44.531 (45.425)	Prec@5 79.688 (75.963)
Epoch: [57][3480/14090]	Time 0.730 (0.751)	Data 0.002 (0.002)	Loss 1.9921 (2.1535)	Prec@1 45.312 (45.424)	Prec@5 79.688 (75.962)
Epoch: [57][3490/14090]	Time 0.760 (0.751)	Data 0.001 (0.002)	Loss 2.2150 (2.1538)	Prec@1 44.531 (45.421)	Prec@5 75.000 (75.958)
Epoch: [57][3500/14090]	Time 0.756 (0.751)	Data 0.001 (0.002)	Loss 2.2913 (2.1540)	Prec@1 47.656 (45.418)	Prec@5 71.875 (75.952)
Epoch: [57][3510/14090]	Time 0.757 (0.751)	Data 0.001 (0.002)	Loss 2.2513 (2.1540)	Prec@1 38.281 (45.418)	Prec@5 77.344 (75.951)
Epoch: [57][3520/14090]	Time 0.737 (0.751)	Data 0.001 (0.002)	Loss 2.3056 (2.1542)	Prec@1 42.188 (45.419)	Prec@5 76.562 (75.943)
Epoch: [57][3530/14090]	Time 0.768 (0.751)	Data 0.001 (0.002)	Loss 2.2599 (2.1542)	Prec@1 42.969 (45.417)	Prec@5 77.344 (75.940)
Epoch: [57][3540/14090]	Time 0.734 (0.751)	Data 0.001 (0.002)	Loss 2.1100 (2.1540)	Prec@1 46.094 (45.422)	Prec@5 82.031 (75.947)
Epoch: [57][3550/14090]	Time 0.769 (0.751)	Data 0.002 (0.002)	Loss 2.0822 (2.1540)	Prec@1 38.281 (45.420)	Prec@5 77.344 (75.948)
Epoch: [57][3560/14090]	Time 0.748 (0.751)	Data 0.001 (0.002)	Loss 2.0990 (2.1540)	Prec@1 46.094 (45.421)	Prec@5 78.125 (75.952)
Epoch: [57][3570/14090]	Time 0.767 (0.751)	Data 0.001 (0.002)	Loss 2.2506 (2.1542)	Prec@1 43.750 (45.420)	Prec@5 71.875 (75.948)
Epoch: [57][3580/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 2.1412 (2.1543)	Prec@1 47.656 (45.413)	Prec@5 76.562 (75.945)
Epoch: [57][3590/14090]	Time 0.756 (0.751)	Data 0.001 (0.002)	Loss 2.3087 (2.1542)	Prec@1 42.188 (45.417)	Prec@5 76.562 (75.947)
Epoch: [57][3600/14090]	Time 0.740 (0.751)	Data 0.001 (0.002)	Loss 1.8502 (2.1543)	Prec@1 59.375 (45.420)	Prec@5 79.688 (75.946)
Epoch: [57][3610/14090]	Time 0.757 (0.751)	Data 0.001 (0.002)	Loss 2.2606 (2.1544)	Prec@1 45.312 (45.418)	Prec@5 74.219 (75.942)
Epoch: [57][3620/14090]	Time 0.742 (0.751)	Data 0.002 (0.002)	Loss 2.1924 (2.1544)	Prec@1 46.094 (45.416)	Prec@5 77.344 (75.944)
Epoch: [57][3630/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 2.0721 (2.1543)	Prec@1 50.781 (45.417)	Prec@5 78.906 (75.945)
Epoch: [57][3640/14090]	Time 0.742 (0.751)	Data 0.001 (0.002)	Loss 1.9080 (2.1543)	Prec@1 54.688 (45.412)	Prec@5 79.688 (75.943)
Epoch: [57][3650/14090]	Time 0.783 (0.751)	Data 0.001 (0.002)	Loss 2.4722 (2.1545)	Prec@1 39.062 (45.410)	Prec@5 70.312 (75.945)
Epoch: [57][3660/14090]	Time 0.753 (0.751)	Data 0.001 (0.002)	Loss 2.1484 (2.1546)	Prec@1 48.438 (45.410)	Prec@5 76.562 (75.945)
Epoch: [57][3670/14090]	Time 0.760 (0.751)	Data 0.001 (0.002)	Loss 2.2129 (2.1544)	Prec@1 42.969 (45.412)	Prec@5 73.438 (75.945)
Epoch: [57][3680/14090]	Time 0.760 (0.751)	Data 0.001 (0.002)	Loss 2.3895 (2.1543)	Prec@1 39.062 (45.415)	Prec@5 72.656 (75.947)
Epoch: [57][3690/14090]	Time 0.760 (0.751)	Data 0.002 (0.002)	Loss 2.1279 (2.1542)	Prec@1 45.312 (45.415)	Prec@5 75.000 (75.948)
Epoch: [57][3700/14090]	Time 0.759 (0.751)	Data 0.001 (0.002)	Loss 2.0903 (2.1541)	Prec@1 40.625 (45.414)	Prec@5 75.000 (75.954)
Epoch: [57][3710/14090]	Time 0.764 (0.751)	Data 0.001 (0.002)	Loss 2.2196 (2.1540)	Prec@1 42.969 (45.416)	Prec@5 75.781 (75.953)
Epoch: [57][3720/14090]	Time 0.733 (0.751)	Data 0.001 (0.002)	Loss 2.1262 (2.1540)	Prec@1 40.625 (45.419)	Prec@5 75.781 (75.954)
Epoch: [57][3730/14090]	Time 0.757 (0.751)	Data 0.001 (0.002)	Loss 2.3403 (2.1539)	Prec@1 40.625 (45.420)	Prec@5 74.219 (75.954)
Epoch: [57][3740/14090]	Time 0.745 (0.751)	Data 0.001 (0.002)	Loss 2.0921 (2.1538)	Prec@1 50.000 (45.420)	Prec@5 77.344 (75.954)
Epoch: [57][3750/14090]	Time 0.746 (0.751)	Data 0.001 (0.002)	Loss 2.0296 (2.1540)	Prec@1 47.656 (45.415)	Prec@5 75.000 (75.954)
Epoch: [57][3760/14090]	Time 0.748 (0.751)	Data 0.002 (0.002)	Loss 2.3594 (2.1541)	Prec@1 39.062 (45.414)	Prec@5 71.875 (75.952)
Epoch: [57][3770/14090]	Time 0.758 (0.751)	Data 0.001 (0.002)	Loss 1.9589 (2.1543)	Prec@1 50.000 (45.406)	Prec@5 77.344 (75.947)
Epoch: [57][3780/14090]	Time 0.749 (0.751)	Data 0.001 (0.002)	Loss 2.1675 (2.1541)	Prec@1 42.188 (45.411)	Prec@5 77.344 (75.953)
Epoch: [57][3790/14090]	Time 0.758 (0.751)	Data 0.001 (0.002)	Loss 1.8702 (2.1542)	Prec@1 50.000 (45.408)	Prec@5 80.469 (75.948)
Epoch: [57][3800/14090]	Time 0.740 (0.751)	Data 0.001 (0.002)	Loss 2.1774 (2.1544)	Prec@1 46.875 (45.411)	Prec@5 78.125 (75.944)
Epoch: [57][3810/14090]	Time 0.762 (0.751)	Data 0.001 (0.002)	Loss 1.9831 (2.1546)	Prec@1 45.312 (45.405)	Prec@5 83.594 (75.942)
Epoch: [57][3820/14090]	Time 0.784 (0.751)	Data 0.001 (0.002)	Loss 2.6177 (2.1546)	Prec@1 40.625 (45.406)	Prec@5 67.188 (75.939)
Epoch: [57][3830/14090]	Time 0.762 (0.751)	Data 0.002 (0.002)	Loss 1.8529 (2.1547)	Prec@1 55.469 (45.404)	Prec@5 82.031 (75.939)
Epoch: [57][3840/14090]	Time 0.763 (0.751)	Data 0.001 (0.002)	Loss 2.2714 (2.1545)	Prec@1 42.188 (45.409)	Prec@5 72.656 (75.939)
Epoch: [57][3850/14090]	Time 0.738 (0.751)	Data 0.001 (0.002)	Loss 2.1491 (2.1544)	Prec@1 45.312 (45.413)	Prec@5 79.688 (75.942)
Epoch: [57][3860/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 2.1498 (2.1546)	Prec@1 47.656 (45.412)	Prec@5 77.344 (75.936)
Epoch: [57][3870/14090]	Time 0.742 (0.751)	Data 0.001 (0.002)	Loss 2.1538 (2.1545)	Prec@1 48.438 (45.418)	Prec@5 75.000 (75.939)
Epoch: [57][3880/14090]	Time 0.745 (0.751)	Data 0.001 (0.002)	Loss 2.0884 (2.1544)	Prec@1 45.312 (45.423)	Prec@5 75.000 (75.937)
Epoch: [57][3890/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 2.1494 (2.1543)	Prec@1 45.312 (45.424)	Prec@5 76.562 (75.937)
Epoch: [57][3900/14090]	Time 0.756 (0.751)	Data 0.002 (0.002)	Loss 2.1005 (2.1543)	Prec@1 45.312 (45.426)	Prec@5 77.344 (75.939)
Epoch: [57][3910/14090]	Time 0.745 (0.751)	Data 0.001 (0.002)	Loss 2.2270 (2.1544)	Prec@1 37.500 (45.422)	Prec@5 72.656 (75.937)
Epoch: [57][3920/14090]	Time 0.781 (0.751)	Data 0.001 (0.002)	Loss 2.3560 (2.1544)	Prec@1 39.844 (45.420)	Prec@5 71.875 (75.938)
Epoch: [57][3930/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 2.0646 (2.1544)	Prec@1 44.531 (45.416)	Prec@5 74.219 (75.936)
Epoch: [57][3940/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 1.9362 (2.1545)	Prec@1 52.344 (45.417)	Prec@5 78.125 (75.935)
Epoch: [57][3950/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 2.3540 (2.1545)	Prec@1 44.531 (45.416)	Prec@5 73.438 (75.933)
Epoch: [57][3960/14090]	Time 0.763 (0.751)	Data 0.001 (0.002)	Loss 2.1279 (2.1545)	Prec@1 46.094 (45.415)	Prec@5 75.781 (75.933)
Epoch: [57][3970/14090]	Time 0.758 (0.751)	Data 0.002 (0.002)	Loss 2.2084 (2.1547)	Prec@1 48.438 (45.415)	Prec@5 76.562 (75.934)
Epoch: [57][3980/14090]	Time 0.759 (0.751)	Data 0.001 (0.002)	Loss 2.1793 (2.1548)	Prec@1 47.656 (45.415)	Prec@5 75.781 (75.933)
Epoch: [57][3990/14090]	Time 0.738 (0.751)	Data 0.001 (0.002)	Loss 2.2348 (2.1551)	Prec@1 47.656 (45.410)	Prec@5 72.656 (75.926)
Epoch: [57][4000/14090]	Time 0.729 (0.751)	Data 0.001 (0.002)	Loss 2.0289 (2.1551)	Prec@1 42.188 (45.405)	Prec@5 78.125 (75.923)
Epoch: [57][4010/14090]	Time 0.751 (0.751)	Data 0.001 (0.002)	Loss 2.1628 (2.1549)	Prec@1 46.094 (45.412)	Prec@5 75.000 (75.925)
Epoch: [57][4020/14090]	Time 0.730 (0.751)	Data 0.001 (0.002)	Loss 1.9104 (2.1548)	Prec@1 52.344 (45.413)	Prec@5 84.375 (75.928)
Epoch: [57][4030/14090]	Time 0.771 (0.751)	Data 0.001 (0.002)	Loss 2.2490 (2.1550)	Prec@1 48.438 (45.412)	Prec@5 77.344 (75.923)
Epoch: [57][4040/14090]	Time 0.743 (0.751)	Data 0.002 (0.002)	Loss 1.9651 (2.1551)	Prec@1 48.438 (45.410)	Prec@5 74.219 (75.920)
Epoch: [57][4050/14090]	Time 0.760 (0.751)	Data 0.001 (0.002)	Loss 2.3766 (2.1552)	Prec@1 44.531 (45.407)	Prec@5 67.188 (75.916)
Epoch: [57][4060/14090]	Time 0.741 (0.751)	Data 0.001 (0.002)	Loss 2.2350 (2.1552)	Prec@1 45.312 (45.406)	Prec@5 74.219 (75.916)
Epoch: [57][4070/14090]	Time 0.759 (0.751)	Data 0.001 (0.002)	Loss 2.4280 (2.1553)	Prec@1 37.500 (45.403)	Prec@5 66.406 (75.913)
Epoch: [57][4080/14090]	Time 0.740 (0.751)	Data 0.001 (0.002)	Loss 2.1041 (2.1553)	Prec@1 50.000 (45.406)	Prec@5 75.781 (75.911)
Epoch: [57][4090/14090]	Time 0.730 (0.751)	Data 0.001 (0.002)	Loss 2.0902 (2.1554)	Prec@1 46.875 (45.402)	Prec@5 75.000 (75.910)
Epoch: [57][4100/14090]	Time 0.736 (0.751)	Data 0.001 (0.002)	Loss 2.1970 (2.1552)	Prec@1 46.875 (45.404)	Prec@5 77.344 (75.916)
Epoch: [57][4110/14090]	Time 0.741 (0.751)	Data 0.001 (0.002)	Loss 2.1764 (2.1554)	Prec@1 43.750 (45.405)	Prec@5 75.000 (75.915)
Epoch: [57][4120/14090]	Time 0.757 (0.751)	Data 0.001 (0.002)	Loss 2.1788 (2.1554)	Prec@1 42.188 (45.404)	Prec@5 75.781 (75.914)
Epoch: [57][4130/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 2.3693 (2.1556)	Prec@1 37.500 (45.402)	Prec@5 70.312 (75.908)
Epoch: [57][4140/14090]	Time 0.762 (0.751)	Data 0.001 (0.002)	Loss 2.2615 (2.1557)	Prec@1 47.656 (45.402)	Prec@5 72.656 (75.904)
Epoch: [57][4150/14090]	Time 0.745 (0.751)	Data 0.001 (0.002)	Loss 2.1193 (2.1557)	Prec@1 47.656 (45.400)	Prec@5 78.125 (75.903)
Epoch: [57][4160/14090]	Time 0.758 (0.751)	Data 0.001 (0.002)	Loss 2.0386 (2.1558)	Prec@1 45.312 (45.399)	Prec@5 78.125 (75.903)
Epoch: [57][4170/14090]	Time 0.748 (0.751)	Data 0.001 (0.002)	Loss 2.3207 (2.1559)	Prec@1 37.500 (45.396)	Prec@5 75.000 (75.903)
Epoch: [57][4180/14090]	Time 0.765 (0.751)	Data 0.002 (0.002)	Loss 1.9903 (2.1561)	Prec@1 41.406 (45.392)	Prec@5 82.031 (75.900)
Epoch: [57][4190/14090]	Time 0.749 (0.751)	Data 0.001 (0.002)	Loss 2.2669 (2.1561)	Prec@1 48.438 (45.390)	Prec@5 74.219 (75.903)
Epoch: [57][4200/14090]	Time 0.742 (0.751)	Data 0.001 (0.002)	Loss 2.2776 (2.1562)	Prec@1 45.312 (45.388)	Prec@5 71.875 (75.901)
Epoch: [57][4210/14090]	Time 0.766 (0.751)	Data 0.001 (0.002)	Loss 2.3227 (2.1563)	Prec@1 40.625 (45.379)	Prec@5 71.094 (75.897)
Epoch: [57][4220/14090]	Time 0.729 (0.751)	Data 0.001 (0.002)	Loss 1.9719 (2.1564)	Prec@1 50.000 (45.380)	Prec@5 78.125 (75.895)
Epoch: [57][4230/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 2.1546 (2.1562)	Prec@1 43.750 (45.384)	Prec@5 75.000 (75.899)
Epoch: [57][4240/14090]	Time 0.756 (0.751)	Data 0.001 (0.002)	Loss 2.0467 (2.1562)	Prec@1 50.000 (45.387)	Prec@5 82.031 (75.901)
Epoch: [57][4250/14090]	Time 0.772 (0.751)	Data 0.002 (0.002)	Loss 2.4118 (2.1563)	Prec@1 41.406 (45.383)	Prec@5 74.219 (75.900)
Epoch: [57][4260/14090]	Time 0.745 (0.751)	Data 0.001 (0.002)	Loss 1.9894 (2.1564)	Prec@1 49.219 (45.382)	Prec@5 82.812 (75.900)
Epoch: [57][4270/14090]	Time 0.734 (0.751)	Data 0.001 (0.002)	Loss 1.9609 (2.1567)	Prec@1 47.656 (45.375)	Prec@5 82.031 (75.896)
Epoch: [57][4280/14090]	Time 0.744 (0.751)	Data 0.001 (0.002)	Loss 1.7930 (2.1567)	Prec@1 53.906 (45.380)	Prec@5 83.594 (75.896)
Epoch: [57][4290/14090]	Time 0.753 (0.751)	Data 0.001 (0.002)	Loss 2.0575 (2.1565)	Prec@1 47.656 (45.380)	Prec@5 77.344 (75.898)
Epoch: [57][4300/14090]	Time 0.741 (0.751)	Data 0.001 (0.002)	Loss 2.1584 (2.1565)	Prec@1 44.531 (45.378)	Prec@5 77.344 (75.900)
Epoch: [57][4310/14090]	Time 0.760 (0.751)	Data 0.001 (0.002)	Loss 2.1999 (2.1564)	Prec@1 44.531 (45.381)	Prec@5 71.094 (75.902)
Epoch: [57][4320/14090]	Time 0.753 (0.751)	Data 0.002 (0.002)	Loss 2.4429 (2.1565)	Prec@1 43.750 (45.384)	Prec@5 74.219 (75.899)
Epoch: [57][4330/14090]	Time 0.732 (0.751)	Data 0.001 (0.002)	Loss 2.1755 (2.1565)	Prec@1 41.406 (45.385)	Prec@5 72.656 (75.902)
Epoch: [57][4340/14090]	Time 0.753 (0.751)	Data 0.001 (0.002)	Loss 2.3271 (2.1566)	Prec@1 38.281 (45.379)	Prec@5 72.656 (75.899)
Epoch: [57][4350/14090]	Time 0.730 (0.751)	Data 0.001 (0.002)	Loss 2.1053 (2.1566)	Prec@1 43.750 (45.379)	Prec@5 77.344 (75.902)
Epoch: [57][4360/14090]	Time 0.738 (0.751)	Data 0.001 (0.002)	Loss 2.1554 (2.1568)	Prec@1 44.531 (45.374)	Prec@5 73.438 (75.895)
Epoch: [57][4370/14090]	Time 0.726 (0.751)	Data 0.001 (0.002)	Loss 2.1262 (2.1570)	Prec@1 51.562 (45.373)	Prec@5 78.125 (75.895)
Epoch: [57][4380/14090]	Time 0.749 (0.751)	Data 0.001 (0.002)	Loss 1.9149 (2.1568)	Prec@1 48.438 (45.375)	Prec@5 81.250 (75.898)
Epoch: [57][4390/14090]	Time 0.748 (0.751)	Data 0.002 (0.002)	Loss 2.1346 (2.1571)	Prec@1 43.750 (45.371)	Prec@5 78.125 (75.895)
Epoch: [57][4400/14090]	Time 0.743 (0.751)	Data 0.001 (0.002)	Loss 1.9800 (2.1569)	Prec@1 49.219 (45.377)	Prec@5 78.906 (75.899)
Epoch: [57][4410/14090]	Time 0.737 (0.751)	Data 0.001 (0.002)	Loss 2.4571 (2.1571)	Prec@1 37.500 (45.374)	Prec@5 67.969 (75.896)
Epoch: [57][4420/14090]	Time 0.748 (0.751)	Data 0.001 (0.002)	Loss 2.1364 (2.1572)	Prec@1 49.219 (45.375)	Prec@5 77.344 (75.894)
Epoch: [57][4430/14090]	Time 0.729 (0.751)	Data 0.001 (0.002)	Loss 1.9568 (2.1572)	Prec@1 48.438 (45.376)	Prec@5 79.688 (75.893)
Epoch: [57][4440/14090]	Time 0.729 (0.751)	Data 0.001 (0.002)	Loss 2.2313 (2.1573)	Prec@1 40.625 (45.375)	Prec@5 75.000 (75.891)
Epoch: [57][4450/14090]	Time 0.741 (0.751)	Data 0.001 (0.002)	Loss 2.4959 (2.1575)	Prec@1 37.500 (45.370)	Prec@5 71.094 (75.886)
Epoch: [57][4460/14090]	Time 0.733 (0.751)	Data 0.002 (0.002)	Loss 2.0923 (2.1576)	Prec@1 46.094 (45.366)	Prec@5 78.906 (75.885)
Epoch: [57][4470/14090]	Time 0.741 (0.751)	Data 0.001 (0.002)	Loss 2.2750 (2.1577)	Prec@1 42.188 (45.362)	Prec@5 75.781 (75.886)
Epoch: [57][4480/14090]	Time 0.749 (0.751)	Data 0.001 (0.002)	Loss 1.6906 (2.1575)	Prec@1 55.469 (45.362)	Prec@5 85.938 (75.891)
Epoch: [57][4490/14090]	Time 0.760 (0.751)	Data 0.001 (0.002)	Loss 2.2623 (2.1576)	Prec@1 40.625 (45.362)	Prec@5 79.688 (75.892)
Epoch: [57][4500/14090]	Time 0.734 (0.751)	Data 0.001 (0.002)	Loss 1.9794 (2.1577)	Prec@1 51.562 (45.359)	Prec@5 76.562 (75.890)
Epoch: [57][4510/14090]	Time 0.768 (0.751)	Data 0.001 (0.002)	Loss 2.2561 (2.1579)	Prec@1 40.625 (45.352)	Prec@5 78.906 (75.890)
Epoch: [57][4520/14090]	Time 0.757 (0.751)	Data 0.001 (0.002)	Loss 2.3744 (2.1580)	Prec@1 46.094 (45.348)	Prec@5 70.312 (75.886)
Epoch: [57][4530/14090]	Time 0.756 (0.751)	Data 0.002 (0.002)	Loss 2.0413 (2.1579)	Prec@1 45.312 (45.351)	Prec@5 81.250 (75.892)
Epoch: [57][4540/14090]	Time 0.757 (0.751)	Data 0.001 (0.002)	Loss 2.0256 (2.1579)	Prec@1 50.781 (45.352)	Prec@5 82.031 (75.893)
Epoch: [57][4550/14090]	Time 0.742 (0.751)	Data 0.001 (0.002)	Loss 1.9345 (2.1578)	Prec@1 48.438 (45.350)	Prec@5 78.125 (75.893)
Epoch: [57][4560/14090]	Time 0.733 (0.751)	Data 0.001 (0.002)	Loss 2.3805 (2.1581)	Prec@1 42.188 (45.346)	Prec@5 71.875 (75.888)
Epoch: [57][4570/14090]	Time 0.751 (0.751)	Data 0.001 (0.002)	Loss 1.9453 (2.1582)	Prec@1 48.438 (45.344)	Prec@5 79.688 (75.886)
Epoch: [57][4580/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 2.3250 (2.1581)	Prec@1 44.531 (45.346)	Prec@5 75.000 (75.889)
Epoch: [57][4590/14090]	Time 0.748 (0.751)	Data 0.001 (0.002)	Loss 2.0764 (2.1581)	Prec@1 44.531 (45.347)	Prec@5 78.125 (75.889)
Epoch: [57][4600/14090]	Time 0.768 (0.751)	Data 0.002 (0.002)	Loss 2.2479 (2.1582)	Prec@1 41.406 (45.345)	Prec@5 78.906 (75.887)
Epoch: [57][4610/14090]	Time 0.721 (0.751)	Data 0.001 (0.002)	Loss 2.4918 (2.1582)	Prec@1 39.062 (45.347)	Prec@5 72.656 (75.887)
Epoch: [57][4620/14090]	Time 0.748 (0.751)	Data 0.001 (0.002)	Loss 2.2201 (2.1583)	Prec@1 45.312 (45.347)	Prec@5 71.875 (75.887)
Epoch: [57][4630/14090]	Time 0.729 (0.751)	Data 0.001 (0.002)	Loss 2.2096 (2.1582)	Prec@1 42.969 (45.346)	Prec@5 78.906 (75.893)
Epoch: [57][4640/14090]	Time 0.763 (0.751)	Data 0.001 (0.002)	Loss 2.3138 (2.1583)	Prec@1 45.312 (45.344)	Prec@5 70.312 (75.890)
Epoch: [57][4650/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 2.2347 (2.1584)	Prec@1 42.969 (45.344)	Prec@5 74.219 (75.887)
Epoch: [57][4660/14090]	Time 0.735 (0.751)	Data 0.001 (0.002)	Loss 2.0948 (2.1584)	Prec@1 44.531 (45.345)	Prec@5 77.344 (75.888)
Epoch: [57][4670/14090]	Time 0.752 (0.751)	Data 0.002 (0.002)	Loss 1.8009 (2.1583)	Prec@1 47.656 (45.349)	Prec@5 83.594 (75.893)
Epoch: [57][4680/14090]	Time 0.759 (0.751)	Data 0.001 (0.002)	Loss 2.1830 (2.1583)	Prec@1 49.219 (45.351)	Prec@5 75.000 (75.896)
Epoch: [57][4690/14090]	Time 0.765 (0.751)	Data 0.001 (0.002)	Loss 2.0777 (2.1582)	Prec@1 50.781 (45.350)	Prec@5 74.219 (75.897)
Epoch: [57][4700/14090]	Time 0.740 (0.751)	Data 0.001 (0.002)	Loss 2.1091 (2.1582)	Prec@1 50.781 (45.352)	Prec@5 75.781 (75.894)
Epoch: [57][4710/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 2.3385 (2.1581)	Prec@1 36.719 (45.354)	Prec@5 70.312 (75.894)
Epoch: [57][4720/14090]	Time 0.726 (0.751)	Data 0.001 (0.002)	Loss 2.0667 (2.1582)	Prec@1 46.875 (45.352)	Prec@5 78.125 (75.892)
Epoch: [57][4730/14090]	Time 0.752 (0.751)	Data 0.001 (0.002)	Loss 2.1720 (2.1582)	Prec@1 44.531 (45.352)	Prec@5 75.000 (75.894)
Epoch: [57][4740/14090]	Time 0.746 (0.751)	Data 0.002 (0.002)	Loss 2.0068 (2.1581)	Prec@1 47.656 (45.354)	Prec@5 81.250 (75.898)
Epoch: [57][4750/14090]	Time 0.788 (0.751)	Data 0.001 (0.002)	Loss 2.3145 (2.1581)	Prec@1 44.531 (45.356)	Prec@5 72.656 (75.899)
Epoch: [57][4760/14090]	Time 0.769 (0.751)	Data 0.001 (0.002)	Loss 2.1440 (2.1581)	Prec@1 44.531 (45.361)	Prec@5 74.219 (75.900)
Epoch: [57][4770/14090]	Time 0.721 (0.751)	Data 0.001 (0.002)	Loss 2.1394 (2.1583)	Prec@1 38.281 (45.355)	Prec@5 79.688 (75.898)
Epoch: [57][4780/14090]	Time 0.748 (0.751)	Data 0.001 (0.002)	Loss 1.9712 (2.1582)	Prec@1 56.250 (45.356)	Prec@5 79.688 (75.899)
Epoch: [57][4790/14090]	Time 0.758 (0.751)	Data 0.001 (0.002)	Loss 2.0538 (2.1581)	Prec@1 46.094 (45.361)	Prec@5 79.688 (75.902)
Epoch: [57][4800/14090]	Time 0.743 (0.751)	Data 0.001 (0.002)	Loss 1.9428 (2.1581)	Prec@1 52.344 (45.360)	Prec@5 75.781 (75.900)
Epoch: [57][4810/14090]	Time 0.736 (0.751)	Data 0.002 (0.002)	Loss 2.1801 (2.1582)	Prec@1 44.531 (45.360)	Prec@5 75.781 (75.898)
Epoch: [57][4820/14090]	Time 0.735 (0.751)	Data 0.001 (0.002)	Loss 2.3614 (2.1584)	Prec@1 47.656 (45.358)	Prec@5 71.094 (75.893)
Epoch: [57][4830/14090]	Time 0.738 (0.751)	Data 0.001 (0.002)	Loss 2.4187 (2.1584)	Prec@1 45.312 (45.361)	Prec@5 71.875 (75.896)
Epoch: [57][4840/14090]	Time 0.734 (0.751)	Data 0.001 (0.002)	Loss 1.9299 (2.1584)	Prec@1 52.344 (45.361)	Prec@5 78.125 (75.896)
Epoch: [57][4850/14090]	Time 0.760 (0.751)	Data 0.001 (0.002)	Loss 2.3854 (2.1585)	Prec@1 39.062 (45.359)	Prec@5 73.438 (75.894)
Epoch: [57][4860/14090]	Time 0.740 (0.751)	Data 0.001 (0.002)	Loss 2.2260 (2.1585)	Prec@1 50.000 (45.361)	Prec@5 74.219 (75.892)
Epoch: [57][4870/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 2.3170 (2.1583)	Prec@1 40.625 (45.361)	Prec@5 73.438 (75.896)
Epoch: [57][4880/14090]	Time 0.753 (0.751)	Data 0.002 (0.002)	Loss 2.5377 (2.1585)	Prec@1 34.375 (45.358)	Prec@5 70.312 (75.892)
Epoch: [57][4890/14090]	Time 0.729 (0.750)	Data 0.001 (0.002)	Loss 2.1483 (2.1585)	Prec@1 40.625 (45.357)	Prec@5 75.000 (75.894)
Epoch: [57][4900/14090]	Time 0.733 (0.750)	Data 0.001 (0.002)	Loss 2.1749 (2.1585)	Prec@1 43.750 (45.356)	Prec@5 78.125 (75.895)
Epoch: [57][4910/14090]	Time 0.740 (0.750)	Data 0.001 (0.002)	Loss 2.2781 (2.1584)	Prec@1 42.969 (45.357)	Prec@5 68.750 (75.891)
Epoch: [57][4920/14090]	Time 0.746 (0.750)	Data 0.001 (0.002)	Loss 2.0660 (2.1583)	Prec@1 51.562 (45.363)	Prec@5 74.219 (75.893)
Epoch: [57][4930/14090]	Time 0.737 (0.750)	Data 0.001 (0.002)	Loss 2.0304 (2.1583)	Prec@1 48.438 (45.360)	Prec@5 77.344 (75.889)
Epoch: [57][4940/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 2.2665 (2.1583)	Prec@1 48.438 (45.358)	Prec@5 72.656 (75.888)
Epoch: [57][4950/14090]	Time 0.783 (0.750)	Data 0.002 (0.002)	Loss 2.1585 (2.1585)	Prec@1 39.062 (45.353)	Prec@5 81.250 (75.889)
Epoch: [57][4960/14090]	Time 0.742 (0.750)	Data 0.001 (0.002)	Loss 2.2105 (2.1587)	Prec@1 42.188 (45.348)	Prec@5 72.656 (75.884)
Epoch: [57][4970/14090]	Time 0.786 (0.750)	Data 0.001 (0.002)	Loss 1.9575 (2.1586)	Prec@1 52.344 (45.346)	Prec@5 84.375 (75.886)
Epoch: [57][4980/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 2.3361 (2.1589)	Prec@1 47.656 (45.342)	Prec@5 67.969 (75.877)
Epoch: [57][4990/14090]	Time 0.756 (0.750)	Data 0.001 (0.002)	Loss 2.1384 (2.1589)	Prec@1 50.000 (45.340)	Prec@5 73.438 (75.876)
Epoch: [57][5000/14090]	Time 0.748 (0.750)	Data 0.001 (0.002)	Loss 2.1593 (2.1591)	Prec@1 39.062 (45.335)	Prec@5 80.469 (75.875)
Epoch: [57][5010/14090]	Time 0.755 (0.750)	Data 0.001 (0.002)	Loss 2.3128 (2.1590)	Prec@1 39.844 (45.338)	Prec@5 74.219 (75.876)
Epoch: [57][5020/14090]	Time 0.746 (0.750)	Data 0.002 (0.002)	Loss 2.1980 (2.1590)	Prec@1 46.094 (45.341)	Prec@5 69.531 (75.875)
Epoch: [57][5030/14090]	Time 0.747 (0.750)	Data 0.001 (0.002)	Loss 2.0548 (2.1591)	Prec@1 46.875 (45.340)	Prec@5 78.125 (75.874)
Epoch: [57][5040/14090]	Time 0.741 (0.750)	Data 0.001 (0.002)	Loss 2.1364 (2.1590)	Prec@1 48.438 (45.342)	Prec@5 73.438 (75.878)
Epoch: [57][5050/14090]	Time 0.763 (0.750)	Data 0.001 (0.002)	Loss 2.4057 (2.1590)	Prec@1 41.406 (45.345)	Prec@5 72.656 (75.879)
Epoch: [57][5060/14090]	Time 0.732 (0.750)	Data 0.001 (0.002)	Loss 2.0691 (2.1591)	Prec@1 53.125 (45.346)	Prec@5 74.219 (75.875)
Epoch: [57][5070/14090]	Time 0.783 (0.750)	Data 0.001 (0.002)	Loss 2.0764 (2.1592)	Prec@1 42.969 (45.344)	Prec@5 79.688 (75.874)
Epoch: [57][5080/14090]	Time 0.742 (0.750)	Data 0.001 (0.002)	Loss 2.0877 (2.1590)	Prec@1 47.656 (45.348)	Prec@5 78.125 (75.877)
Epoch: [57][5090/14090]	Time 0.736 (0.750)	Data 0.002 (0.002)	Loss 2.1444 (2.1591)	Prec@1 50.781 (45.347)	Prec@5 76.562 (75.876)
Epoch: [57][5100/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 2.1579 (2.1589)	Prec@1 45.312 (45.351)	Prec@5 76.562 (75.878)
Epoch: [57][5110/14090]	Time 0.744 (0.750)	Data 0.001 (0.002)	Loss 1.9985 (2.1590)	Prec@1 51.562 (45.352)	Prec@5 76.562 (75.877)
Epoch: [57][5120/14090]	Time 0.743 (0.750)	Data 0.001 (0.002)	Loss 2.0893 (2.1590)	Prec@1 56.250 (45.356)	Prec@5 75.781 (75.876)
Epoch: [57][5130/14090]	Time 0.723 (0.750)	Data 0.001 (0.002)	Loss 2.0835 (2.1590)	Prec@1 48.438 (45.357)	Prec@5 74.219 (75.873)
Epoch: [57][5140/14090]	Time 0.758 (0.750)	Data 0.001 (0.002)	Loss 2.2023 (2.1589)	Prec@1 46.094 (45.357)	Prec@5 76.562 (75.876)
Epoch: [57][5150/14090]	Time 0.734 (0.750)	Data 0.001 (0.002)	Loss 2.0575 (2.1590)	Prec@1 49.219 (45.356)	Prec@5 78.906 (75.876)
Epoch: [57][5160/14090]	Time 0.791 (0.750)	Data 0.002 (0.002)	Loss 2.2332 (2.1590)	Prec@1 40.625 (45.354)	Prec@5 75.781 (75.877)
Epoch: [57][5170/14090]	Time 0.756 (0.750)	Data 0.001 (0.002)	Loss 1.8927 (2.1589)	Prec@1 53.906 (45.356)	Prec@5 79.688 (75.880)
Epoch: [57][5180/14090]	Time 0.742 (0.750)	Data 0.001 (0.002)	Loss 1.8587 (2.1588)	Prec@1 51.562 (45.356)	Prec@5 81.250 (75.884)
Epoch: [57][5190/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 2.0512 (2.1589)	Prec@1 46.875 (45.352)	Prec@5 80.469 (75.884)
Epoch: [57][5200/14090]	Time 0.730 (0.750)	Data 0.001 (0.002)	Loss 2.1580 (2.1589)	Prec@1 49.219 (45.355)	Prec@5 75.781 (75.884)
Epoch: [57][5210/14090]	Time 0.764 (0.750)	Data 0.001 (0.002)	Loss 2.1012 (2.1587)	Prec@1 48.438 (45.355)	Prec@5 77.344 (75.885)
Epoch: [57][5220/14090]	Time 0.776 (0.750)	Data 0.001 (0.002)	Loss 2.0696 (2.1588)	Prec@1 50.781 (45.354)	Prec@5 76.562 (75.884)
Epoch: [57][5230/14090]	Time 0.759 (0.750)	Data 0.002 (0.002)	Loss 2.1754 (2.1587)	Prec@1 44.531 (45.357)	Prec@5 77.344 (75.883)
Epoch: [57][5240/14090]	Time 0.738 (0.750)	Data 0.001 (0.002)	Loss 2.2435 (2.1588)	Prec@1 44.531 (45.356)	Prec@5 78.125 (75.881)
Epoch: [57][5250/14090]	Time 0.735 (0.750)	Data 0.001 (0.002)	Loss 2.1111 (2.1589)	Prec@1 46.875 (45.353)	Prec@5 77.344 (75.880)
Epoch: [57][5260/14090]	Time 0.726 (0.750)	Data 0.001 (0.002)	Loss 2.2428 (2.1590)	Prec@1 42.188 (45.352)	Prec@5 70.312 (75.880)
Epoch: [57][5270/14090]	Time 0.732 (0.750)	Data 0.001 (0.002)	Loss 2.0009 (2.1589)	Prec@1 47.656 (45.352)	Prec@5 77.344 (75.882)
Epoch: [57][5280/14090]	Time 0.737 (0.750)	Data 0.001 (0.002)	Loss 2.2224 (2.1590)	Prec@1 42.969 (45.353)	Prec@5 76.562 (75.882)
Epoch: [57][5290/14090]	Time 0.761 (0.750)	Data 0.001 (0.002)	Loss 2.3253 (2.1590)	Prec@1 44.531 (45.351)	Prec@5 71.094 (75.881)
Epoch: [57][5300/14090]	Time 0.751 (0.750)	Data 0.002 (0.002)	Loss 2.1841 (2.1589)	Prec@1 42.969 (45.351)	Prec@5 74.219 (75.881)
Epoch: [57][5310/14090]	Time 0.742 (0.750)	Data 0.001 (0.002)	Loss 2.4244 (2.1591)	Prec@1 40.625 (45.346)	Prec@5 75.781 (75.878)
Epoch: [57][5320/14090]	Time 0.742 (0.750)	Data 0.001 (0.002)	Loss 2.3726 (2.1593)	Prec@1 43.750 (45.342)	Prec@5 71.094 (75.876)
Epoch: [57][5330/14090]	Time 0.764 (0.750)	Data 0.001 (0.002)	Loss 1.9840 (2.1593)	Prec@1 45.312 (45.343)	Prec@5 78.125 (75.877)
Epoch: [57][5340/14090]	Time 0.733 (0.750)	Data 0.001 (0.002)	Loss 2.1383 (2.1593)	Prec@1 43.750 (45.339)	Prec@5 72.656 (75.875)
Epoch: [57][5350/14090]	Time 0.745 (0.750)	Data 0.001 (0.002)	Loss 2.1102 (2.1594)	Prec@1 46.875 (45.335)	Prec@5 72.656 (75.873)
Epoch: [57][5360/14090]	Time 0.757 (0.750)	Data 0.001 (0.002)	Loss 2.0437 (2.1595)	Prec@1 46.875 (45.333)	Prec@5 81.250 (75.872)
Epoch: [57][5370/14090]	Time 0.754 (0.750)	Data 0.002 (0.002)	Loss 2.3428 (2.1595)	Prec@1 42.188 (45.333)	Prec@5 69.531 (75.870)
Epoch: [57][5380/14090]	Time 0.739 (0.750)	Data 0.001 (0.002)	Loss 2.2677 (2.1596)	Prec@1 39.844 (45.332)	Prec@5 73.438 (75.870)
Epoch: [57][5390/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 2.3223 (2.1596)	Prec@1 40.625 (45.331)	Prec@5 72.656 (75.868)
Epoch: [57][5400/14090]	Time 0.740 (0.750)	Data 0.001 (0.002)	Loss 2.1874 (2.1597)	Prec@1 45.312 (45.331)	Prec@5 74.219 (75.866)
Epoch: [57][5410/14090]	Time 0.740 (0.750)	Data 0.001 (0.002)	Loss 1.9912 (2.1598)	Prec@1 47.656 (45.326)	Prec@5 78.125 (75.866)
Epoch: [57][5420/14090]	Time 0.762 (0.750)	Data 0.001 (0.002)	Loss 2.0350 (2.1597)	Prec@1 47.656 (45.326)	Prec@5 81.250 (75.865)
Epoch: [57][5430/14090]	Time 0.760 (0.750)	Data 0.001 (0.002)	Loss 2.1131 (2.1598)	Prec@1 50.000 (45.329)	Prec@5 76.562 (75.865)
Epoch: [57][5440/14090]	Time 0.733 (0.750)	Data 0.002 (0.002)	Loss 2.1599 (2.1599)	Prec@1 43.750 (45.327)	Prec@5 78.906 (75.862)
Epoch: [57][5450/14090]	Time 0.758 (0.750)	Data 0.001 (0.002)	Loss 2.1675 (2.1599)	Prec@1 42.969 (45.328)	Prec@5 75.000 (75.864)
Epoch: [57][5460/14090]	Time 0.747 (0.750)	Data 0.001 (0.002)	Loss 2.4883 (2.1600)	Prec@1 38.281 (45.323)	Prec@5 69.531 (75.861)
Epoch: [57][5470/14090]	Time 0.770 (0.750)	Data 0.001 (0.002)	Loss 2.4202 (2.1602)	Prec@1 38.281 (45.319)	Prec@5 71.875 (75.859)
Epoch: [57][5480/14090]	Time 0.746 (0.750)	Data 0.001 (0.002)	Loss 2.7486 (2.1604)	Prec@1 35.938 (45.316)	Prec@5 63.281 (75.855)
Epoch: [57][5490/14090]	Time 0.746 (0.750)	Data 0.001 (0.002)	Loss 2.2112 (2.1604)	Prec@1 43.750 (45.318)	Prec@5 73.438 (75.857)
Epoch: [57][5500/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 2.2971 (2.1604)	Prec@1 47.656 (45.317)	Prec@5 76.562 (75.854)
Epoch: [57][5510/14090]	Time 0.755 (0.750)	Data 0.002 (0.002)	Loss 2.4021 (2.1604)	Prec@1 39.062 (45.318)	Prec@5 66.406 (75.856)
Epoch: [57][5520/14090]	Time 0.760 (0.750)	Data 0.001 (0.002)	Loss 2.6067 (2.1606)	Prec@1 32.812 (45.312)	Prec@5 67.188 (75.850)
Epoch: [57][5530/14090]	Time 0.745 (0.750)	Data 0.001 (0.002)	Loss 2.2254 (2.1605)	Prec@1 46.875 (45.315)	Prec@5 72.656 (75.852)
Epoch: [57][5540/14090]	Time 0.740 (0.750)	Data 0.001 (0.002)	Loss 2.2506 (2.1606)	Prec@1 45.312 (45.314)	Prec@5 75.781 (75.851)
Epoch: [57][5550/14090]	Time 0.771 (0.750)	Data 0.001 (0.002)	Loss 2.3838 (2.1608)	Prec@1 39.844 (45.311)	Prec@5 73.438 (75.847)
Epoch: [57][5560/14090]	Time 0.760 (0.750)	Data 0.001 (0.002)	Loss 2.0814 (2.1608)	Prec@1 46.875 (45.309)	Prec@5 73.438 (75.846)
Epoch: [57][5570/14090]	Time 0.746 (0.750)	Data 0.001 (0.002)	Loss 1.9794 (2.1610)	Prec@1 50.000 (45.310)	Prec@5 79.688 (75.844)
Epoch: [57][5580/14090]	Time 0.755 (0.750)	Data 0.002 (0.002)	Loss 2.3889 (2.1610)	Prec@1 33.594 (45.311)	Prec@5 71.094 (75.842)
Epoch: [57][5590/14090]	Time 0.746 (0.750)	Data 0.001 (0.002)	Loss 2.2293 (2.1609)	Prec@1 45.312 (45.313)	Prec@5 75.000 (75.844)
Epoch: [57][5600/14090]	Time 0.727 (0.750)	Data 0.001 (0.002)	Loss 2.4251 (2.1612)	Prec@1 44.531 (45.308)	Prec@5 71.094 (75.841)
Epoch: [57][5610/14090]	Time 0.773 (0.750)	Data 0.001 (0.002)	Loss 2.1518 (2.1612)	Prec@1 46.875 (45.308)	Prec@5 72.656 (75.838)
Epoch: [57][5620/14090]	Time 0.745 (0.750)	Data 0.001 (0.002)	Loss 2.2344 (2.1612)	Prec@1 37.500 (45.308)	Prec@5 74.219 (75.837)
Epoch: [57][5630/14090]	Time 0.734 (0.750)	Data 0.001 (0.002)	Loss 1.9868 (2.1611)	Prec@1 49.219 (45.306)	Prec@5 85.156 (75.839)
Epoch: [57][5640/14090]	Time 0.768 (0.750)	Data 0.001 (0.002)	Loss 2.4204 (2.1611)	Prec@1 46.875 (45.307)	Prec@5 71.094 (75.841)
Epoch: [57][5650/14090]	Time 0.729 (0.750)	Data 0.002 (0.002)	Loss 2.3702 (2.1612)	Prec@1 42.188 (45.307)	Prec@5 67.188 (75.839)
Epoch: [57][5660/14090]	Time 0.744 (0.750)	Data 0.001 (0.002)	Loss 2.0238 (2.1612)	Prec@1 50.781 (45.305)	Prec@5 75.781 (75.840)
Epoch: [57][5670/14090]	Time 0.762 (0.750)	Data 0.001 (0.002)	Loss 2.2314 (2.1613)	Prec@1 51.562 (45.306)	Prec@5 72.656 (75.836)
Epoch: [57][5680/14090]	Time 0.748 (0.750)	Data 0.001 (0.002)	Loss 2.1531 (2.1614)	Prec@1 48.438 (45.303)	Prec@5 77.344 (75.836)
Epoch: [57][5690/14090]	Time 0.765 (0.750)	Data 0.001 (0.002)	Loss 2.3483 (2.1615)	Prec@1 41.406 (45.302)	Prec@5 71.094 (75.835)
Epoch: [57][5700/14090]	Time 0.735 (0.750)	Data 0.001 (0.002)	Loss 2.1405 (2.1616)	Prec@1 48.438 (45.301)	Prec@5 77.344 (75.833)
Epoch: [57][5710/14090]	Time 0.737 (0.750)	Data 0.001 (0.002)	Loss 2.3906 (2.1616)	Prec@1 42.969 (45.302)	Prec@5 76.562 (75.834)
Epoch: [57][5720/14090]	Time 0.760 (0.750)	Data 0.002 (0.002)	Loss 2.0006 (2.1614)	Prec@1 55.469 (45.306)	Prec@5 78.906 (75.835)
Epoch: [57][5730/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 2.2300 (2.1613)	Prec@1 48.438 (45.312)	Prec@5 75.781 (75.835)
Epoch: [57][5740/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 2.1821 (2.1613)	Prec@1 44.531 (45.314)	Prec@5 71.094 (75.832)
Epoch: [57][5750/14090]	Time 0.738 (0.750)	Data 0.001 (0.002)	Loss 2.0835 (2.1613)	Prec@1 44.531 (45.314)	Prec@5 79.688 (75.832)
Epoch: [57][5760/14090]	Time 0.738 (0.750)	Data 0.001 (0.002)	Loss 2.3098 (2.1613)	Prec@1 40.625 (45.313)	Prec@5 72.656 (75.833)
Epoch: [57][5770/14090]	Time 0.755 (0.750)	Data 0.001 (0.002)	Loss 2.2211 (2.1612)	Prec@1 45.312 (45.315)	Prec@5 70.312 (75.829)
Epoch: [57][5780/14090]	Time 0.762 (0.750)	Data 0.001 (0.002)	Loss 2.3754 (2.1612)	Prec@1 39.062 (45.318)	Prec@5 69.531 (75.830)
Epoch: [57][5790/14090]	Time 0.758 (0.750)	Data 0.002 (0.002)	Loss 2.0891 (2.1612)	Prec@1 49.219 (45.317)	Prec@5 78.125 (75.831)
Epoch: [57][5800/14090]	Time 0.745 (0.750)	Data 0.001 (0.002)	Loss 1.9688 (2.1612)	Prec@1 48.438 (45.322)	Prec@5 82.031 (75.833)
Epoch: [57][5810/14090]	Time 0.768 (0.750)	Data 0.001 (0.002)	Loss 2.0035 (2.1612)	Prec@1 53.906 (45.323)	Prec@5 80.469 (75.833)
Epoch: [57][5820/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 2.2147 (2.1612)	Prec@1 42.188 (45.324)	Prec@5 76.562 (75.836)
Epoch: [57][5830/14090]	Time 0.745 (0.750)	Data 0.001 (0.002)	Loss 2.0294 (2.1611)	Prec@1 51.562 (45.326)	Prec@5 78.125 (75.838)
Epoch: [57][5840/14090]	Time 0.759 (0.750)	Data 0.001 (0.002)	Loss 2.2964 (2.1611)	Prec@1 42.188 (45.327)	Prec@5 71.094 (75.836)
Epoch: [57][5850/14090]	Time 0.759 (0.750)	Data 0.001 (0.002)	Loss 2.0753 (2.1610)	Prec@1 48.438 (45.329)	Prec@5 78.125 (75.837)
Epoch: [57][5860/14090]	Time 0.752 (0.750)	Data 0.002 (0.002)	Loss 2.3196 (2.1612)	Prec@1 36.719 (45.325)	Prec@5 73.438 (75.836)
Epoch: [57][5870/14090]	Time 0.773 (0.750)	Data 0.001 (0.002)	Loss 2.1202 (2.1613)	Prec@1 40.625 (45.321)	Prec@5 78.906 (75.833)
Epoch: [57][5880/14090]	Time 0.724 (0.750)	Data 0.001 (0.002)	Loss 2.0793 (2.1610)	Prec@1 41.406 (45.324)	Prec@5 78.125 (75.837)
Epoch: [57][5890/14090]	Time 0.757 (0.750)	Data 0.001 (0.002)	Loss 2.1918 (2.1611)	Prec@1 50.000 (45.322)	Prec@5 68.750 (75.835)
Epoch: [57][5900/14090]	Time 0.759 (0.750)	Data 0.001 (0.002)	Loss 2.3437 (2.1612)	Prec@1 46.094 (45.322)	Prec@5 78.125 (75.834)
Epoch: [57][5910/14090]	Time 0.747 (0.750)	Data 0.001 (0.002)	Loss 2.5195 (2.1614)	Prec@1 38.281 (45.320)	Prec@5 70.312 (75.831)
Epoch: [57][5920/14090]	Time 0.742 (0.750)	Data 0.001 (0.002)	Loss 2.0851 (2.1614)	Prec@1 43.750 (45.319)	Prec@5 78.125 (75.832)
Epoch: [57][5930/14090]	Time 0.728 (0.750)	Data 0.002 (0.002)	Loss 2.3282 (2.1614)	Prec@1 38.281 (45.319)	Prec@5 75.000 (75.832)
Epoch: [57][5940/14090]	Time 0.743 (0.750)	Data 0.001 (0.002)	Loss 2.2252 (2.1615)	Prec@1 46.875 (45.322)	Prec@5 75.781 (75.832)
Epoch: [57][5950/14090]	Time 0.755 (0.750)	Data 0.001 (0.002)	Loss 2.5324 (2.1617)	Prec@1 32.031 (45.317)	Prec@5 68.750 (75.832)
Epoch: [57][5960/14090]	Time 0.758 (0.750)	Data 0.001 (0.002)	Loss 2.3448 (2.1618)	Prec@1 39.844 (45.313)	Prec@5 74.219 (75.830)
Epoch: [57][5970/14090]	Time 0.767 (0.750)	Data 0.001 (0.002)	Loss 1.9965 (2.1620)	Prec@1 47.656 (45.308)	Prec@5 75.781 (75.827)
Epoch: [57][5980/14090]	Time 0.777 (0.750)	Data 0.001 (0.002)	Loss 2.1314 (2.1621)	Prec@1 48.438 (45.307)	Prec@5 75.781 (75.825)
Epoch: [57][5990/14090]	Time 0.740 (0.750)	Data 0.001 (0.002)	Loss 2.3520 (2.1621)	Prec@1 39.844 (45.307)	Prec@5 70.312 (75.825)
Epoch: [57][6000/14090]	Time 0.725 (0.750)	Data 0.002 (0.002)	Loss 1.9455 (2.1620)	Prec@1 50.781 (45.308)	Prec@5 79.688 (75.827)
Epoch: [57][6010/14090]	Time 0.748 (0.750)	Data 0.001 (0.002)	Loss 2.3038 (2.1619)	Prec@1 41.406 (45.307)	Prec@5 74.219 (75.829)
Epoch: [57][6020/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 2.2438 (2.1621)	Prec@1 40.625 (45.305)	Prec@5 75.000 (75.828)
Epoch: [57][6030/14090]	Time 0.730 (0.750)	Data 0.001 (0.002)	Loss 2.2403 (2.1621)	Prec@1 46.875 (45.302)	Prec@5 75.781 (75.829)
Epoch: [57][6040/14090]	Time 0.748 (0.750)	Data 0.001 (0.002)	Loss 1.8881 (2.1620)	Prec@1 48.438 (45.303)	Prec@5 81.250 (75.830)
Epoch: [57][6050/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 2.1846 (2.1621)	Prec@1 45.312 (45.299)	Prec@5 76.562 (75.827)
Epoch: [57][6060/14090]	Time 0.753 (0.750)	Data 0.001 (0.002)	Loss 2.2521 (2.1622)	Prec@1 41.406 (45.299)	Prec@5 78.906 (75.828)
Epoch: [57][6070/14090]	Time 0.738 (0.750)	Data 0.002 (0.002)	Loss 2.3095 (2.1622)	Prec@1 42.188 (45.299)	Prec@5 73.438 (75.828)
Epoch: [57][6080/14090]	Time 0.723 (0.750)	Data 0.001 (0.002)	Loss 2.3806 (2.1623)	Prec@1 42.969 (45.298)	Prec@5 70.312 (75.826)
Epoch: [57][6090/14090]	Time 0.743 (0.750)	Data 0.001 (0.002)	Loss 2.2459 (2.1624)	Prec@1 42.188 (45.295)	Prec@5 72.656 (75.822)
Epoch: [57][6100/14090]	Time 0.772 (0.750)	Data 0.001 (0.002)	Loss 2.0091 (2.1625)	Prec@1 46.094 (45.291)	Prec@5 76.562 (75.819)
Epoch: [57][6110/14090]	Time 0.743 (0.750)	Data 0.001 (0.002)	Loss 2.1904 (2.1624)	Prec@1 44.531 (45.293)	Prec@5 77.344 (75.821)
Epoch: [57][6120/14090]	Time 0.762 (0.750)	Data 0.001 (0.002)	Loss 2.3454 (2.1625)	Prec@1 42.969 (45.291)	Prec@5 73.438 (75.820)
Epoch: [57][6130/14090]	Time 0.759 (0.750)	Data 0.001 (0.002)	Loss 2.5132 (2.1625)	Prec@1 44.531 (45.289)	Prec@5 64.844 (75.819)
Epoch: [57][6140/14090]	Time 0.737 (0.750)	Data 0.002 (0.002)	Loss 2.2613 (2.1626)	Prec@1 42.188 (45.286)	Prec@5 72.656 (75.817)
Epoch: [57][6150/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 2.0708 (2.1627)	Prec@1 49.219 (45.285)	Prec@5 74.219 (75.816)
Epoch: [57][6160/14090]	Time 0.733 (0.750)	Data 0.001 (0.002)	Loss 2.1255 (2.1627)	Prec@1 46.094 (45.284)	Prec@5 79.688 (75.813)
Epoch: [57][6170/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 2.0168 (2.1627)	Prec@1 46.094 (45.284)	Prec@5 78.125 (75.814)
Epoch: [57][6180/14090]	Time 0.746 (0.750)	Data 0.001 (0.002)	Loss 1.9391 (2.1629)	Prec@1 52.344 (45.282)	Prec@5 77.344 (75.810)
Epoch: [57][6190/14090]	Time 0.743 (0.750)	Data 0.001 (0.002)	Loss 2.3545 (2.1629)	Prec@1 41.406 (45.283)	Prec@5 71.094 (75.810)
Epoch: [57][6200/14090]	Time 0.728 (0.750)	Data 0.001 (0.002)	Loss 2.3345 (2.1629)	Prec@1 45.312 (45.285)	Prec@5 71.094 (75.806)
Epoch: [57][6210/14090]	Time 0.756 (0.750)	Data 0.002 (0.002)	Loss 2.1262 (2.1630)	Prec@1 47.656 (45.282)	Prec@5 80.469 (75.806)
Epoch: [57][6220/14090]	Time 0.760 (0.750)	Data 0.001 (0.002)	Loss 2.0375 (2.1629)	Prec@1 50.781 (45.281)	Prec@5 78.125 (75.806)
Epoch: [57][6230/14090]	Time 0.754 (0.750)	Data 0.001 (0.002)	Loss 2.1943 (2.1630)	Prec@1 46.094 (45.281)	Prec@5 72.656 (75.805)
Epoch: [57][6240/14090]	Time 0.755 (0.750)	Data 0.001 (0.002)	Loss 2.1917 (2.1630)	Prec@1 43.750 (45.279)	Prec@5 75.781 (75.804)
Epoch: [57][6250/14090]	Time 0.747 (0.750)	Data 0.001 (0.002)	Loss 2.0651 (2.1629)	Prec@1 51.562 (45.284)	Prec@5 78.906 (75.805)
Epoch: [57][6260/14090]	Time 0.728 (0.750)	Data 0.001 (0.002)	Loss 2.0552 (2.1629)	Prec@1 49.219 (45.285)	Prec@5 75.781 (75.806)
Epoch: [57][6270/14090]	Time 0.765 (0.750)	Data 0.001 (0.002)	Loss 2.0061 (2.1628)	Prec@1 50.781 (45.285)	Prec@5 75.000 (75.807)
Epoch: [57][6280/14090]	Time 0.746 (0.750)	Data 0.002 (0.002)	Loss 2.1913 (2.1626)	Prec@1 43.750 (45.287)	Prec@5 70.312 (75.809)
Epoch: [57][6290/14090]	Time 0.739 (0.750)	Data 0.001 (0.002)	Loss 2.1966 (2.1625)	Prec@1 45.312 (45.288)	Prec@5 73.438 (75.810)
Epoch: [57][6300/14090]	Time 0.726 (0.750)	Data 0.001 (0.002)	Loss 2.1429 (2.1625)	Prec@1 47.656 (45.290)	Prec@5 78.125 (75.811)
Epoch: [57][6310/14090]	Time 0.756 (0.750)	Data 0.001 (0.002)	Loss 2.1683 (2.1626)	Prec@1 49.219 (45.290)	Prec@5 77.344 (75.810)
Epoch: [57][6320/14090]	Time 0.741 (0.750)	Data 0.001 (0.002)	Loss 2.2244 (2.1626)	Prec@1 42.188 (45.290)	Prec@5 78.125 (75.810)
Epoch: [57][6330/14090]	Time 0.747 (0.750)	Data 0.001 (0.002)	Loss 2.5044 (2.1627)	Prec@1 42.969 (45.289)	Prec@5 71.875 (75.810)
Epoch: [57][6340/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 1.9716 (2.1626)	Prec@1 51.562 (45.292)	Prec@5 81.250 (75.811)
Epoch: [57][6350/14090]	Time 0.753 (0.750)	Data 0.002 (0.002)	Loss 2.2433 (2.1626)	Prec@1 46.875 (45.291)	Prec@5 71.094 (75.808)
Epoch: [57][6360/14090]	Time 0.777 (0.750)	Data 0.001 (0.002)	Loss 2.2692 (2.1627)	Prec@1 48.438 (45.290)	Prec@5 68.750 (75.806)
Epoch: [57][6370/14090]	Time 0.733 (0.750)	Data 0.001 (0.002)	Loss 1.8080 (2.1627)	Prec@1 49.219 (45.292)	Prec@5 83.594 (75.808)
Epoch: [57][6380/14090]	Time 0.726 (0.750)	Data 0.001 (0.002)	Loss 1.9897 (2.1627)	Prec@1 50.000 (45.292)	Prec@5 80.469 (75.808)
Epoch: [57][6390/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 2.1969 (2.1626)	Prec@1 41.406 (45.290)	Prec@5 72.656 (75.809)
Epoch: [57][6400/14090]	Time 0.753 (0.750)	Data 0.001 (0.002)	Loss 2.2672 (2.1628)	Prec@1 34.375 (45.284)	Prec@5 75.000 (75.808)
Epoch: [57][6410/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 2.4463 (2.1628)	Prec@1 41.406 (45.280)	Prec@5 72.656 (75.808)
Epoch: [57][6420/14090]	Time 0.747 (0.750)	Data 0.002 (0.002)	Loss 2.1085 (2.1628)	Prec@1 45.312 (45.279)	Prec@5 78.906 (75.810)
Epoch: [57][6430/14090]	Time 0.764 (0.750)	Data 0.001 (0.002)	Loss 2.3988 (2.1627)	Prec@1 45.312 (45.279)	Prec@5 71.875 (75.810)
Epoch: [57][6440/14090]	Time 0.776 (0.750)	Data 0.001 (0.002)	Loss 2.3502 (2.1628)	Prec@1 42.969 (45.278)	Prec@5 74.219 (75.812)
Epoch: [57][6450/14090]	Time 0.763 (0.750)	Data 0.001 (0.002)	Loss 2.1958 (2.1627)	Prec@1 50.781 (45.279)	Prec@5 76.562 (75.811)
Epoch: [57][6460/14090]	Time 0.740 (0.750)	Data 0.001 (0.002)	Loss 2.2496 (2.1628)	Prec@1 42.188 (45.274)	Prec@5 71.875 (75.809)
Epoch: [57][6470/14090]	Time 0.741 (0.750)	Data 0.001 (0.002)	Loss 2.0460 (2.1628)	Prec@1 46.094 (45.272)	Prec@5 75.000 (75.808)
Epoch: [57][6480/14090]	Time 0.744 (0.750)	Data 0.001 (0.002)	Loss 2.4533 (2.1628)	Prec@1 39.844 (45.272)	Prec@5 67.969 (75.808)
Epoch: [57][6490/14090]	Time 0.739 (0.750)	Data 0.002 (0.002)	Loss 2.3039 (2.1628)	Prec@1 41.406 (45.271)	Prec@5 71.875 (75.807)
Epoch: [57][6500/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 2.0109 (2.1628)	Prec@1 51.562 (45.272)	Prec@5 75.000 (75.808)
Epoch: [57][6510/14090]	Time 0.748 (0.750)	Data 0.001 (0.002)	Loss 1.8223 (2.1628)	Prec@1 55.469 (45.274)	Prec@5 82.812 (75.808)
Epoch: [57][6520/14090]	Time 0.745 (0.750)	Data 0.001 (0.002)	Loss 2.4495 (2.1628)	Prec@1 44.531 (45.271)	Prec@5 70.312 (75.809)
Epoch: [57][6530/14090]	Time 0.762 (0.750)	Data 0.001 (0.002)	Loss 2.1961 (2.1627)	Prec@1 42.969 (45.272)	Prec@5 73.438 (75.811)
Epoch: [57][6540/14090]	Time 0.736 (0.750)	Data 0.001 (0.002)	Loss 2.3266 (2.1629)	Prec@1 40.625 (45.268)	Prec@5 74.219 (75.808)
Epoch: [57][6550/14090]	Time 0.727 (0.750)	Data 0.001 (0.002)	Loss 2.4449 (2.1629)	Prec@1 36.719 (45.267)	Prec@5 77.344 (75.809)
Epoch: [57][6560/14090]	Time 0.739 (0.750)	Data 0.002 (0.002)	Loss 1.9523 (2.1630)	Prec@1 46.094 (45.267)	Prec@5 83.594 (75.807)
Epoch: [57][6570/14090]	Time 0.758 (0.750)	Data 0.001 (0.002)	Loss 2.0526 (2.1630)	Prec@1 46.875 (45.265)	Prec@5 77.344 (75.807)
Epoch: [57][6580/14090]	Time 0.751 (0.750)	Data 0.001 (0.002)	Loss 2.1208 (2.1631)	Prec@1 39.062 (45.264)	Prec@5 78.125 (75.805)
Epoch: [57][6590/14090]	Time 0.738 (0.750)	Data 0.001 (0.002)	Loss 2.2623 (2.1631)	Prec@1 48.438 (45.264)	Prec@5 75.781 (75.806)
Epoch: [57][6600/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 2.2405 (2.1631)	Prec@1 42.188 (45.262)	Prec@5 71.875 (75.803)
Epoch: [57][6610/14090]	Time 0.741 (0.750)	Data 0.001 (0.002)	Loss 2.2637 (2.1631)	Prec@1 42.969 (45.262)	Prec@5 71.875 (75.802)
Epoch: [57][6620/14090]	Time 0.759 (0.750)	Data 0.001 (0.002)	Loss 2.3041 (2.1631)	Prec@1 39.844 (45.261)	Prec@5 75.000 (75.801)
Epoch: [57][6630/14090]	Time 0.735 (0.750)	Data 0.002 (0.002)	Loss 1.8435 (2.1633)	Prec@1 52.344 (45.260)	Prec@5 84.375 (75.800)
Epoch: [57][6640/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 1.9802 (2.1632)	Prec@1 48.438 (45.262)	Prec@5 82.031 (75.801)
Epoch: [57][6650/14090]	Time 0.755 (0.750)	Data 0.001 (0.002)	Loss 2.2191 (2.1634)	Prec@1 42.969 (45.260)	Prec@5 73.438 (75.799)
Epoch: [57][6660/14090]	Time 0.757 (0.750)	Data 0.001 (0.002)	Loss 2.3134 (2.1634)	Prec@1 46.875 (45.258)	Prec@5 67.188 (75.796)
Epoch: [57][6670/14090]	Time 0.731 (0.750)	Data 0.001 (0.002)	Loss 2.1760 (2.1634)	Prec@1 48.438 (45.260)	Prec@5 71.875 (75.797)
Epoch: [57][6680/14090]	Time 0.736 (0.750)	Data 0.001 (0.002)	Loss 2.2935 (2.1637)	Prec@1 42.188 (45.256)	Prec@5 75.781 (75.794)
Epoch: [57][6690/14090]	Time 0.721 (0.750)	Data 0.001 (0.002)	Loss 2.3828 (2.1637)	Prec@1 46.094 (45.258)	Prec@5 71.875 (75.792)
Epoch: [57][6700/14090]	Time 0.756 (0.750)	Data 0.002 (0.002)	Loss 2.5324 (2.1637)	Prec@1 31.250 (45.256)	Prec@5 68.750 (75.793)
Epoch: [57][6710/14090]	Time 0.748 (0.750)	Data 0.001 (0.002)	Loss 2.3365 (2.1638)	Prec@1 41.406 (45.253)	Prec@5 72.656 (75.791)
Epoch: [57][6720/14090]	Time 0.747 (0.750)	Data 0.001 (0.002)	Loss 2.2424 (2.1638)	Prec@1 43.750 (45.253)	Prec@5 71.875 (75.790)
Epoch: [57][6730/14090]	Time 0.733 (0.750)	Data 0.001 (0.002)	Loss 2.0618 (2.1637)	Prec@1 48.438 (45.253)	Prec@5 78.906 (75.791)
Epoch: [57][6740/14090]	Time 0.767 (0.750)	Data 0.001 (0.002)	Loss 1.8620 (2.1636)	Prec@1 51.562 (45.253)	Prec@5 84.375 (75.793)
Epoch: [57][6750/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 2.0170 (2.1636)	Prec@1 44.531 (45.252)	Prec@5 78.125 (75.795)
Epoch: [57][6760/14090]	Time 0.748 (0.750)	Data 0.001 (0.002)	Loss 2.4566 (2.1637)	Prec@1 39.062 (45.251)	Prec@5 70.312 (75.793)
Epoch: [57][6770/14090]	Time 0.763 (0.750)	Data 0.002 (0.002)	Loss 1.9992 (2.1637)	Prec@1 52.344 (45.255)	Prec@5 77.344 (75.792)
Epoch: [57][6780/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 2.0085 (2.1637)	Prec@1 45.312 (45.255)	Prec@5 79.688 (75.794)
Epoch: [57][6790/14090]	Time 0.762 (0.750)	Data 0.001 (0.002)	Loss 2.0984 (2.1638)	Prec@1 44.531 (45.255)	Prec@5 74.219 (75.792)
Epoch: [57][6800/14090]	Time 0.741 (0.750)	Data 0.001 (0.002)	Loss 1.9486 (2.1636)	Prec@1 51.562 (45.257)	Prec@5 78.906 (75.795)
Epoch: [57][6810/14090]	Time 0.746 (0.750)	Data 0.001 (0.002)	Loss 2.2900 (2.1636)	Prec@1 38.281 (45.255)	Prec@5 74.219 (75.794)
Epoch: [57][6820/14090]	Time 0.769 (0.750)	Data 0.001 (0.002)	Loss 1.9291 (2.1636)	Prec@1 55.469 (45.255)	Prec@5 77.344 (75.796)
Epoch: [57][6830/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 2.0657 (2.1637)	Prec@1 42.188 (45.253)	Prec@5 78.125 (75.793)
Epoch: [57][6840/14090]	Time 0.745 (0.750)	Data 0.002 (0.002)	Loss 2.1568 (2.1637)	Prec@1 45.312 (45.254)	Prec@5 77.344 (75.795)
Epoch: [57][6850/14090]	Time 0.735 (0.750)	Data 0.001 (0.002)	Loss 1.8063 (2.1636)	Prec@1 60.156 (45.257)	Prec@5 81.250 (75.796)
Epoch: [57][6860/14090]	Time 0.736 (0.750)	Data 0.001 (0.002)	Loss 2.2220 (2.1636)	Prec@1 40.625 (45.257)	Prec@5 76.562 (75.797)
Epoch: [57][6870/14090]	Time 0.753 (0.750)	Data 0.001 (0.002)	Loss 1.9461 (2.1635)	Prec@1 50.781 (45.260)	Prec@5 81.250 (75.801)
Epoch: [57][6880/14090]	Time 0.741 (0.750)	Data 0.001 (0.002)	Loss 2.4499 (2.1636)	Prec@1 42.188 (45.259)	Prec@5 68.750 (75.798)
Epoch: [57][6890/14090]	Time 0.753 (0.750)	Data 0.001 (0.002)	Loss 2.1852 (2.1637)	Prec@1 48.438 (45.260)	Prec@5 72.656 (75.796)
Epoch: [57][6900/14090]	Time 0.734 (0.750)	Data 0.001 (0.002)	Loss 2.4611 (2.1638)	Prec@1 42.188 (45.259)	Prec@5 75.781 (75.796)
Epoch: [57][6910/14090]	Time 0.756 (0.750)	Data 0.002 (0.002)	Loss 2.2084 (2.1640)	Prec@1 48.438 (45.256)	Prec@5 75.781 (75.793)
Epoch: [57][6920/14090]	Time 0.759 (0.750)	Data 0.001 (0.002)	Loss 2.2954 (2.1641)	Prec@1 44.531 (45.254)	Prec@5 75.781 (75.791)
Epoch: [57][6930/14090]	Time 0.772 (0.750)	Data 0.001 (0.002)	Loss 2.2522 (2.1641)	Prec@1 34.375 (45.252)	Prec@5 75.781 (75.792)
Epoch: [57][6940/14090]	Time 0.728 (0.750)	Data 0.001 (0.002)	Loss 2.0809 (2.1641)	Prec@1 53.125 (45.253)	Prec@5 75.781 (75.793)
Epoch: [57][6950/14090]	Time 0.754 (0.750)	Data 0.001 (0.002)	Loss 1.9785 (2.1641)	Prec@1 45.312 (45.251)	Prec@5 80.469 (75.790)
Epoch: [57][6960/14090]	Time 0.736 (0.750)	Data 0.001 (0.002)	Loss 2.2815 (2.1641)	Prec@1 39.844 (45.250)	Prec@5 77.344 (75.790)
Epoch: [57][6970/14090]	Time 0.778 (0.750)	Data 0.001 (0.002)	Loss 1.7686 (2.1640)	Prec@1 55.469 (45.251)	Prec@5 78.906 (75.792)
Epoch: [57][6980/14090]	Time 0.738 (0.750)	Data 0.002 (0.002)	Loss 2.3424 (2.1641)	Prec@1 41.406 (45.249)	Prec@5 72.656 (75.789)
Epoch: [57][6990/14090]	Time 0.747 (0.750)	Data 0.001 (0.002)	Loss 2.1307 (2.1642)	Prec@1 43.750 (45.247)	Prec@5 77.344 (75.791)
Epoch: [57][7000/14090]	Time 0.763 (0.750)	Data 0.001 (0.002)	Loss 2.0873 (2.1642)	Prec@1 49.219 (45.249)	Prec@5 79.688 (75.790)
Epoch: [57][7010/14090]	Time 0.739 (0.750)	Data 0.001 (0.002)	Loss 2.3094 (2.1641)	Prec@1 36.719 (45.247)	Prec@5 71.875 (75.790)
Epoch: [57][7020/14090]	Time 0.765 (0.750)	Data 0.001 (0.002)	Loss 2.1634 (2.1643)	Prec@1 52.344 (45.248)	Prec@5 75.781 (75.786)
Epoch: [57][7030/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 2.1363 (2.1644)	Prec@1 45.312 (45.246)	Prec@5 75.000 (75.786)
Epoch: [57][7040/14090]	Time 0.753 (0.750)	Data 0.001 (0.002)	Loss 2.1754 (2.1645)	Prec@1 41.406 (45.243)	Prec@5 80.469 (75.784)
Epoch: [57][7050/14090]	Time 0.747 (0.750)	Data 0.001 (0.002)	Loss 2.3308 (2.1644)	Prec@1 38.281 (45.246)	Prec@5 71.875 (75.785)
Epoch: [57][7060/14090]	Time 0.758 (0.750)	Data 0.001 (0.002)	Loss 2.2157 (2.1645)	Prec@1 42.188 (45.244)	Prec@5 74.219 (75.783)
Epoch: [57][7070/14090]	Time 0.740 (0.750)	Data 0.001 (0.002)	Loss 2.0542 (2.1645)	Prec@1 46.875 (45.245)	Prec@5 75.781 (75.783)
Epoch: [57][7080/14090]	Time 0.761 (0.750)	Data 0.001 (0.002)	Loss 2.3028 (2.1645)	Prec@1 42.969 (45.243)	Prec@5 70.312 (75.781)
Epoch: [57][7090/14090]	Time 0.729 (0.750)	Data 0.001 (0.002)	Loss 2.3360 (2.1645)	Prec@1 42.188 (45.246)	Prec@5 73.438 (75.784)
Epoch: [57][7100/14090]	Time 0.740 (0.750)	Data 0.001 (0.002)	Loss 2.3214 (2.1646)	Prec@1 42.969 (45.244)	Prec@5 70.312 (75.779)
Epoch: [57][7110/14090]	Time 0.734 (0.750)	Data 0.001 (0.002)	Loss 2.2535 (2.1646)	Prec@1 46.875 (45.244)	Prec@5 75.000 (75.780)
Epoch: [57][7120/14090]	Time 0.780 (0.750)	Data 0.002 (0.002)	Loss 2.2799 (2.1646)	Prec@1 38.281 (45.243)	Prec@5 75.000 (75.778)
Epoch: [57][7130/14090]	Time 0.748 (0.750)	Data 0.001 (0.002)	Loss 2.0911 (2.1646)	Prec@1 45.312 (45.243)	Prec@5 78.125 (75.779)
Epoch: [57][7140/14090]	Time 0.742 (0.750)	Data 0.001 (0.002)	Loss 2.3084 (2.1646)	Prec@1 38.281 (45.242)	Prec@5 75.000 (75.779)
Epoch: [57][7150/14090]	Time 0.763 (0.750)	Data 0.001 (0.002)	Loss 2.2873 (2.1648)	Prec@1 42.188 (45.240)	Prec@5 70.312 (75.775)
Epoch: [57][7160/14090]	Time 0.746 (0.750)	Data 0.001 (0.002)	Loss 2.1297 (2.1647)	Prec@1 36.719 (45.237)	Prec@5 79.688 (75.778)
Epoch: [57][7170/14090]	Time 0.766 (0.750)	Data 0.001 (0.002)	Loss 2.6041 (2.1649)	Prec@1 35.156 (45.235)	Prec@5 64.844 (75.775)
Epoch: [57][7180/14090]	Time 0.763 (0.750)	Data 0.001 (0.002)	Loss 2.5336 (2.1650)	Prec@1 35.938 (45.233)	Prec@5 68.750 (75.775)
Epoch: [57][7190/14090]	Time 0.754 (0.750)	Data 0.002 (0.002)	Loss 2.0668 (2.1650)	Prec@1 47.656 (45.235)	Prec@5 75.781 (75.774)
Epoch: [57][7200/14090]	Time 0.747 (0.750)	Data 0.001 (0.002)	Loss 2.2185 (2.1650)	Prec@1 40.625 (45.236)	Prec@5 75.000 (75.772)
Epoch: [57][7210/14090]	Time 0.743 (0.750)	Data 0.001 (0.002)	Loss 2.3771 (2.1650)	Prec@1 41.406 (45.237)	Prec@5 69.531 (75.771)
Epoch: [57][7220/14090]	Time 0.742 (0.750)	Data 0.001 (0.002)	Loss 1.8835 (2.1650)	Prec@1 53.906 (45.239)	Prec@5 80.469 (75.772)
Epoch: [57][7230/14090]	Time 0.757 (0.750)	Data 0.001 (0.002)	Loss 2.0801 (2.1650)	Prec@1 42.188 (45.237)	Prec@5 80.469 (75.772)
Epoch: [57][7240/14090]	Time 0.771 (0.750)	Data 0.001 (0.002)	Loss 2.2167 (2.1650)	Prec@1 42.969 (45.236)	Prec@5 75.000 (75.773)
Epoch: [57][7250/14090]	Time 0.745 (0.750)	Data 0.001 (0.002)	Loss 2.1572 (2.1650)	Prec@1 43.750 (45.234)	Prec@5 71.875 (75.772)
Epoch: [57][7260/14090]	Time 0.763 (0.750)	Data 0.002 (0.002)	Loss 2.0115 (2.1651)	Prec@1 49.219 (45.231)	Prec@5 78.125 (75.770)
Epoch: [57][7270/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 2.3362 (2.1651)	Prec@1 42.969 (45.232)	Prec@5 75.000 (75.771)
Epoch: [57][7280/14090]	Time 0.754 (0.750)	Data 0.001 (0.002)	Loss 2.1402 (2.1651)	Prec@1 48.438 (45.233)	Prec@5 73.438 (75.770)
Epoch: [57][7290/14090]	Time 0.743 (0.750)	Data 0.001 (0.002)	Loss 2.2567 (2.1650)	Prec@1 48.438 (45.236)	Prec@5 74.219 (75.771)
Epoch: [57][7300/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 2.4679 (2.1651)	Prec@1 37.500 (45.234)	Prec@5 71.875 (75.768)
Epoch: [57][7310/14090]	Time 0.744 (0.750)	Data 0.001 (0.002)	Loss 2.3535 (2.1651)	Prec@1 49.219 (45.234)	Prec@5 73.438 (75.767)
Epoch: [57][7320/14090]	Time 0.747 (0.750)	Data 0.001 (0.002)	Loss 2.4007 (2.1653)	Prec@1 42.969 (45.232)	Prec@5 67.188 (75.763)
Epoch: [57][7330/14090]	Time 0.779 (0.750)	Data 0.002 (0.002)	Loss 2.3076 (2.1654)	Prec@1 43.750 (45.230)	Prec@5 77.344 (75.761)
Epoch: [57][7340/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 2.0232 (2.1655)	Prec@1 50.000 (45.227)	Prec@5 77.344 (75.760)
Epoch: [57][7350/14090]	Time 0.733 (0.750)	Data 0.001 (0.002)	Loss 2.3322 (2.1654)	Prec@1 39.844 (45.226)	Prec@5 75.781 (75.762)
Epoch: [57][7360/14090]	Time 0.759 (0.750)	Data 0.001 (0.002)	Loss 1.9908 (2.1654)	Prec@1 50.000 (45.225)	Prec@5 75.781 (75.760)
Epoch: [57][7370/14090]	Time 0.747 (0.750)	Data 0.001 (0.002)	Loss 2.5323 (2.1655)	Prec@1 35.156 (45.222)	Prec@5 68.750 (75.758)
Epoch: [57][7380/14090]	Time 0.735 (0.750)	Data 0.001 (0.002)	Loss 2.1492 (2.1654)	Prec@1 48.438 (45.225)	Prec@5 79.688 (75.759)
Epoch: [57][7390/14090]	Time 0.748 (0.750)	Data 0.001 (0.002)	Loss 2.1913 (2.1654)	Prec@1 42.188 (45.224)	Prec@5 74.219 (75.759)
Epoch: [57][7400/14090]	Time 0.734 (0.750)	Data 0.002 (0.002)	Loss 2.1931 (2.1655)	Prec@1 45.312 (45.223)	Prec@5 74.219 (75.756)
Epoch: [57][7410/14090]	Time 0.759 (0.750)	Data 0.001 (0.002)	Loss 2.2418 (2.1655)	Prec@1 38.281 (45.220)	Prec@5 73.438 (75.758)
Epoch: [57][7420/14090]	Time 0.723 (0.750)	Data 0.001 (0.002)	Loss 2.4305 (2.1655)	Prec@1 40.625 (45.221)	Prec@5 71.094 (75.758)
Epoch: [57][7430/14090]	Time 0.765 (0.750)	Data 0.001 (0.002)	Loss 1.8683 (2.1654)	Prec@1 56.250 (45.224)	Prec@5 81.250 (75.759)
Epoch: [57][7440/14090]	Time 0.747 (0.750)	Data 0.001 (0.002)	Loss 2.1505 (2.1655)	Prec@1 47.656 (45.223)	Prec@5 78.125 (75.756)
Epoch: [57][7450/14090]	Time 0.753 (0.750)	Data 0.001 (0.002)	Loss 2.2595 (2.1654)	Prec@1 40.625 (45.223)	Prec@5 69.531 (75.758)
Epoch: [57][7460/14090]	Time 0.737 (0.750)	Data 0.001 (0.002)	Loss 2.3417 (2.1654)	Prec@1 40.625 (45.223)	Prec@5 75.781 (75.760)
Epoch: [57][7470/14090]	Time 0.763 (0.750)	Data 0.002 (0.002)	Loss 2.2126 (2.1654)	Prec@1 41.406 (45.223)	Prec@5 80.469 (75.762)
Epoch: [57][7480/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 1.9690 (2.1654)	Prec@1 46.094 (45.224)	Prec@5 77.344 (75.762)
Epoch: [57][7490/14090]	Time 0.737 (0.750)	Data 0.001 (0.002)	Loss 2.2623 (2.1654)	Prec@1 48.438 (45.222)	Prec@5 75.000 (75.764)
Epoch: [57][7500/14090]	Time 0.758 (0.750)	Data 0.001 (0.002)	Loss 2.2508 (2.1653)	Prec@1 45.312 (45.223)	Prec@5 76.562 (75.767)
Epoch: [57][7510/14090]	Time 0.781 (0.750)	Data 0.001 (0.002)	Loss 2.4285 (2.1654)	Prec@1 45.312 (45.223)	Prec@5 67.969 (75.764)
Epoch: [57][7520/14090]	Time 0.744 (0.750)	Data 0.001 (0.002)	Loss 2.4615 (2.1654)	Prec@1 46.094 (45.223)	Prec@5 71.875 (75.763)
Epoch: [57][7530/14090]	Time 0.765 (0.750)	Data 0.001 (0.002)	Loss 2.1866 (2.1653)	Prec@1 45.312 (45.224)	Prec@5 77.344 (75.766)
Epoch: [57][7540/14090]	Time 0.770 (0.750)	Data 0.002 (0.002)	Loss 2.0691 (2.1653)	Prec@1 50.000 (45.224)	Prec@5 81.250 (75.765)
Epoch: [57][7550/14090]	Time 0.771 (0.750)	Data 0.001 (0.002)	Loss 2.0856 (2.1654)	Prec@1 43.750 (45.223)	Prec@5 78.906 (75.765)
Epoch: [57][7560/14090]	Time 0.758 (0.750)	Data 0.001 (0.002)	Loss 2.3589 (2.1653)	Prec@1 42.188 (45.226)	Prec@5 73.438 (75.766)
Epoch: [57][7570/14090]	Time 0.737 (0.750)	Data 0.001 (0.002)	Loss 2.0507 (2.1653)	Prec@1 50.781 (45.229)	Prec@5 75.000 (75.767)
Epoch: [57][7580/14090]	Time 0.761 (0.750)	Data 0.001 (0.002)	Loss 2.1841 (2.1652)	Prec@1 43.750 (45.229)	Prec@5 75.000 (75.768)
Epoch: [57][7590/14090]	Time 0.742 (0.750)	Data 0.001 (0.002)	Loss 2.6218 (2.1652)	Prec@1 36.719 (45.232)	Prec@5 66.406 (75.768)
Epoch: [57][7600/14090]	Time 0.739 (0.750)	Data 0.001 (0.002)	Loss 2.1291 (2.1652)	Prec@1 45.312 (45.234)	Prec@5 78.125 (75.770)
Epoch: [57][7610/14090]	Time 0.763 (0.750)	Data 0.002 (0.002)	Loss 2.1198 (2.1652)	Prec@1 50.781 (45.235)	Prec@5 76.562 (75.770)
Epoch: [57][7620/14090]	Time 0.758 (0.750)	Data 0.001 (0.002)	Loss 2.1625 (2.1651)	Prec@1 43.750 (45.237)	Prec@5 75.781 (75.772)
Epoch: [57][7630/14090]	Time 0.753 (0.750)	Data 0.001 (0.002)	Loss 2.3345 (2.1651)	Prec@1 42.188 (45.241)	Prec@5 71.875 (75.771)
Epoch: [57][7640/14090]	Time 0.726 (0.750)	Data 0.001 (0.002)	Loss 2.2700 (2.1652)	Prec@1 40.625 (45.238)	Prec@5 74.219 (75.770)
Epoch: [57][7650/14090]	Time 0.737 (0.750)	Data 0.001 (0.002)	Loss 2.4003 (2.1652)	Prec@1 39.844 (45.238)	Prec@5 73.438 (75.773)
Epoch: [57][7660/14090]	Time 0.743 (0.750)	Data 0.001 (0.002)	Loss 2.2508 (2.1652)	Prec@1 41.406 (45.239)	Prec@5 73.438 (75.773)
Epoch: [57][7670/14090]	Time 0.765 (0.750)	Data 0.001 (0.002)	Loss 2.3403 (2.1652)	Prec@1 39.062 (45.239)	Prec@5 73.438 (75.771)
Epoch: [57][7680/14090]	Time 0.733 (0.750)	Data 0.002 (0.002)	Loss 1.8969 (2.1651)	Prec@1 43.750 (45.241)	Prec@5 77.344 (75.771)
Epoch: [57][7690/14090]	Time 0.739 (0.750)	Data 0.001 (0.002)	Loss 2.1498 (2.1651)	Prec@1 44.531 (45.241)	Prec@5 71.875 (75.773)
Epoch: [57][7700/14090]	Time 0.742 (0.750)	Data 0.001 (0.002)	Loss 2.2533 (2.1651)	Prec@1 41.406 (45.240)	Prec@5 75.781 (75.773)
Epoch: [57][7710/14090]	Time 0.738 (0.750)	Data 0.001 (0.002)	Loss 2.0575 (2.1651)	Prec@1 48.438 (45.240)	Prec@5 79.688 (75.773)
Epoch: [57][7720/14090]	Time 0.728 (0.750)	Data 0.001 (0.002)	Loss 2.4241 (2.1651)	Prec@1 42.969 (45.238)	Prec@5 72.656 (75.774)
Epoch: [57][7730/14090]	Time 0.731 (0.750)	Data 0.001 (0.002)	Loss 2.2711 (2.1651)	Prec@1 42.188 (45.238)	Prec@5 73.438 (75.773)
Epoch: [57][7740/14090]	Time 0.734 (0.750)	Data 0.001 (0.002)	Loss 2.2157 (2.1651)	Prec@1 45.312 (45.236)	Prec@5 72.656 (75.771)
Epoch: [57][7750/14090]	Time 0.748 (0.750)	Data 0.002 (0.002)	Loss 2.0005 (2.1652)	Prec@1 50.000 (45.235)	Prec@5 80.469 (75.770)
Epoch: [57][7760/14090]	Time 0.776 (0.750)	Data 0.001 (0.002)	Loss 1.8115 (2.1651)	Prec@1 53.906 (45.239)	Prec@5 81.250 (75.768)
Epoch: [57][7770/14090]	Time 0.724 (0.750)	Data 0.001 (0.002)	Loss 1.9901 (2.1651)	Prec@1 50.000 (45.239)	Prec@5 75.781 (75.767)
Epoch: [57][7780/14090]	Time 0.763 (0.750)	Data 0.001 (0.002)	Loss 2.2020 (2.1652)	Prec@1 42.188 (45.236)	Prec@5 75.781 (75.764)
Epoch: [57][7790/14090]	Time 0.723 (0.750)	Data 0.001 (0.002)	Loss 2.2449 (2.1653)	Prec@1 46.875 (45.238)	Prec@5 75.000 (75.764)
Epoch: [57][7800/14090]	Time 0.733 (0.750)	Data 0.001 (0.002)	Loss 2.0154 (2.1653)	Prec@1 46.875 (45.238)	Prec@5 79.688 (75.765)
Epoch: [57][7810/14090]	Time 0.726 (0.750)	Data 0.001 (0.002)	Loss 2.1906 (2.1652)	Prec@1 42.969 (45.237)	Prec@5 77.344 (75.766)
Epoch: [57][7820/14090]	Time 0.778 (0.750)	Data 0.002 (0.002)	Loss 2.0969 (2.1653)	Prec@1 48.438 (45.238)	Prec@5 78.125 (75.765)
Epoch: [57][7830/14090]	Time 0.737 (0.750)	Data 0.001 (0.002)	Loss 2.1961 (2.1654)	Prec@1 42.969 (45.235)	Prec@5 73.438 (75.761)
Epoch: [57][7840/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 2.1060 (2.1653)	Prec@1 38.281 (45.237)	Prec@5 77.344 (75.762)
Epoch: [57][7850/14090]	Time 0.769 (0.750)	Data 0.001 (0.002)	Loss 1.9531 (2.1652)	Prec@1 50.000 (45.239)	Prec@5 83.594 (75.766)
Epoch: [57][7860/14090]	Time 0.733 (0.750)	Data 0.001 (0.002)	Loss 2.1543 (2.1652)	Prec@1 41.406 (45.238)	Prec@5 75.781 (75.766)
Epoch: [57][7870/14090]	Time 0.755 (0.750)	Data 0.001 (0.002)	Loss 2.0018 (2.1651)	Prec@1 51.562 (45.238)	Prec@5 77.344 (75.768)
Epoch: [57][7880/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 2.1004 (2.1651)	Prec@1 42.969 (45.239)	Prec@5 78.906 (75.769)
Epoch: [57][7890/14090]	Time 0.755 (0.750)	Data 0.002 (0.002)	Loss 2.2138 (2.1652)	Prec@1 46.094 (45.240)	Prec@5 72.656 (75.767)
Epoch: [57][7900/14090]	Time 0.762 (0.750)	Data 0.001 (0.002)	Loss 2.1844 (2.1652)	Prec@1 42.969 (45.238)	Prec@5 78.906 (75.769)
Epoch: [57][7910/14090]	Time 0.746 (0.750)	Data 0.001 (0.002)	Loss 2.6395 (2.1653)	Prec@1 35.156 (45.236)	Prec@5 68.750 (75.767)
Epoch: [57][7920/14090]	Time 0.753 (0.750)	Data 0.001 (0.002)	Loss 2.3206 (2.1654)	Prec@1 40.625 (45.233)	Prec@5 68.750 (75.765)
Epoch: [57][7930/14090]	Time 0.734 (0.750)	Data 0.001 (0.002)	Loss 2.3057 (2.1654)	Prec@1 43.750 (45.236)	Prec@5 70.312 (75.767)
Epoch: [57][7940/14090]	Time 0.761 (0.750)	Data 0.001 (0.002)	Loss 2.1184 (2.1653)	Prec@1 43.750 (45.239)	Prec@5 76.562 (75.768)
Epoch: [57][7950/14090]	Time 0.735 (0.750)	Data 0.001 (0.002)	Loss 2.0132 (2.1653)	Prec@1 49.219 (45.239)	Prec@5 77.344 (75.768)
Epoch: [57][7960/14090]	Time 0.747 (0.750)	Data 0.002 (0.002)	Loss 2.0342 (2.1652)	Prec@1 50.781 (45.240)	Prec@5 78.906 (75.769)
Epoch: [57][7970/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 2.1340 (2.1652)	Prec@1 42.188 (45.238)	Prec@5 79.688 (75.769)
Epoch: [57][7980/14090]	Time 0.745 (0.750)	Data 0.001 (0.002)	Loss 2.2051 (2.1652)	Prec@1 46.875 (45.238)	Prec@5 75.000 (75.770)
Epoch: [57][7990/14090]	Time 0.731 (0.750)	Data 0.001 (0.002)	Loss 2.2546 (2.1652)	Prec@1 45.312 (45.240)	Prec@5 75.000 (75.769)
Epoch: [57][8000/14090]	Time 0.745 (0.750)	Data 0.001 (0.002)	Loss 1.8913 (2.1651)	Prec@1 50.781 (45.241)	Prec@5 78.906 (75.769)
Epoch: [57][8010/14090]	Time 0.757 (0.750)	Data 0.001 (0.002)	Loss 2.4541 (2.1651)	Prec@1 39.844 (45.242)	Prec@5 66.406 (75.770)
Epoch: [57][8020/14090]	Time 0.756 (0.750)	Data 0.001 (0.002)	Loss 2.3787 (2.1652)	Prec@1 32.031 (45.239)	Prec@5 72.656 (75.770)
Epoch: [57][8030/14090]	Time 0.772 (0.750)	Data 0.002 (0.002)	Loss 2.0989 (2.1651)	Prec@1 46.875 (45.239)	Prec@5 75.000 (75.770)
Epoch: [57][8040/14090]	Time 0.751 (0.750)	Data 0.001 (0.002)	Loss 2.2056 (2.1652)	Prec@1 46.875 (45.238)	Prec@5 73.438 (75.769)
Epoch: [57][8050/14090]	Time 0.741 (0.750)	Data 0.001 (0.002)	Loss 1.8019 (2.1651)	Prec@1 46.875 (45.239)	Prec@5 84.375 (75.771)
Epoch: [57][8060/14090]	Time 0.762 (0.750)	Data 0.001 (0.002)	Loss 2.3059 (2.1651)	Prec@1 39.844 (45.237)	Prec@5 76.562 (75.771)
Epoch: [57][8070/14090]	Time 0.736 (0.750)	Data 0.001 (0.002)	Loss 2.0699 (2.1651)	Prec@1 42.969 (45.234)	Prec@5 75.781 (75.772)
Epoch: [57][8080/14090]	Time 0.773 (0.750)	Data 0.001 (0.002)	Loss 2.0602 (2.1651)	Prec@1 45.312 (45.235)	Prec@5 85.156 (75.774)
Epoch: [57][8090/14090]	Time 0.734 (0.750)	Data 0.001 (0.002)	Loss 1.9980 (2.1651)	Prec@1 42.188 (45.233)	Prec@5 81.250 (75.775)
Epoch: [57][8100/14090]	Time 0.748 (0.750)	Data 0.002 (0.002)	Loss 1.9385 (2.1651)	Prec@1 50.781 (45.232)	Prec@5 80.469 (75.775)
Epoch: [57][8110/14090]	Time 0.761 (0.750)	Data 0.001 (0.002)	Loss 2.1709 (2.1652)	Prec@1 39.844 (45.229)	Prec@5 82.031 (75.775)
Epoch: [57][8120/14090]	Time 0.743 (0.750)	Data 0.001 (0.002)	Loss 2.0108 (2.1652)	Prec@1 43.750 (45.230)	Prec@5 81.250 (75.777)
Epoch: [57][8130/14090]	Time 0.785 (0.750)	Data 0.001 (0.002)	Loss 2.4061 (2.1652)	Prec@1 40.625 (45.230)	Prec@5 69.531 (75.778)
Epoch: [57][8140/14090]	Time 0.784 (0.750)	Data 0.001 (0.002)	Loss 2.3941 (2.1652)	Prec@1 38.281 (45.230)	Prec@5 72.656 (75.778)
Epoch: [57][8150/14090]	Time 0.754 (0.750)	Data 0.001 (0.002)	Loss 2.0038 (2.1651)	Prec@1 53.125 (45.232)	Prec@5 78.906 (75.779)
Epoch: [57][8160/14090]	Time 0.736 (0.750)	Data 0.001 (0.002)	Loss 1.9193 (2.1650)	Prec@1 51.562 (45.233)	Prec@5 78.906 (75.782)
Epoch: [57][8170/14090]	Time 0.760 (0.750)	Data 0.002 (0.002)	Loss 1.9250 (2.1650)	Prec@1 50.000 (45.233)	Prec@5 78.906 (75.783)
Epoch: [57][8180/14090]	Time 0.759 (0.750)	Data 0.001 (0.002)	Loss 2.0551 (2.1650)	Prec@1 54.688 (45.233)	Prec@5 74.219 (75.781)
Epoch: [57][8190/14090]	Time 0.743 (0.750)	Data 0.001 (0.002)	Loss 2.1877 (2.1650)	Prec@1 42.969 (45.233)	Prec@5 80.469 (75.781)
Epoch: [57][8200/14090]	Time 0.738 (0.750)	Data 0.001 (0.002)	Loss 2.0343 (2.1651)	Prec@1 46.094 (45.232)	Prec@5 78.906 (75.780)
Epoch: [57][8210/14090]	Time 0.745 (0.750)	Data 0.002 (0.002)	Loss 2.2761 (2.1651)	Prec@1 45.312 (45.230)	Prec@5 73.438 (75.780)
Epoch: [57][8220/14090]	Time 0.780 (0.750)	Data 0.001 (0.002)	Loss 2.2775 (2.1652)	Prec@1 39.844 (45.228)	Prec@5 75.781 (75.780)
Epoch: [57][8230/14090]	Time 0.736 (0.750)	Data 0.001 (0.002)	Loss 2.1604 (2.1652)	Prec@1 45.312 (45.228)	Prec@5 74.219 (75.779)
Epoch: [57][8240/14090]	Time 0.754 (0.750)	Data 0.002 (0.002)	Loss 2.1496 (2.1653)	Prec@1 47.656 (45.226)	Prec@5 74.219 (75.777)
Epoch: [57][8250/14090]	Time 0.729 (0.750)	Data 0.001 (0.002)	Loss 2.2032 (2.1653)	Prec@1 42.969 (45.227)	Prec@5 73.438 (75.778)
Epoch: [57][8260/14090]	Time 0.741 (0.750)	Data 0.001 (0.002)	Loss 1.9822 (2.1652)	Prec@1 42.969 (45.229)	Prec@5 81.250 (75.780)
Epoch: [57][8270/14090]	Time 0.738 (0.750)	Data 0.001 (0.002)	Loss 1.8716 (2.1651)	Prec@1 46.094 (45.229)	Prec@5 82.031 (75.781)
Epoch: [57][8280/14090]	Time 0.761 (0.750)	Data 0.001 (0.002)	Loss 2.1921 (2.1651)	Prec@1 44.531 (45.230)	Prec@5 74.219 (75.780)
Epoch: [57][8290/14090]	Time 0.732 (0.750)	Data 0.001 (0.002)	Loss 2.2478 (2.1652)	Prec@1 43.750 (45.230)	Prec@5 71.875 (75.777)
Epoch: [57][8300/14090]	Time 0.754 (0.750)	Data 0.001 (0.002)	Loss 2.2014 (2.1652)	Prec@1 46.875 (45.231)	Prec@5 74.219 (75.778)
Epoch: [57][8310/14090]	Time 0.740 (0.750)	Data 0.002 (0.002)	Loss 2.1156 (2.1653)	Prec@1 44.531 (45.229)	Prec@5 74.219 (75.776)
Epoch: [57][8320/14090]	Time 0.744 (0.750)	Data 0.001 (0.002)	Loss 2.1910 (2.1653)	Prec@1 44.531 (45.231)	Prec@5 78.906 (75.775)
Epoch: [57][8330/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 2.2977 (2.1653)	Prec@1 39.844 (45.230)	Prec@5 72.656 (75.774)
Epoch: [57][8340/14090]	Time 0.773 (0.750)	Data 0.001 (0.002)	Loss 2.3946 (2.1653)	Prec@1 42.188 (45.229)	Prec@5 71.094 (75.774)
Epoch: [57][8350/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 2.0062 (2.1653)	Prec@1 46.094 (45.228)	Prec@5 82.031 (75.775)
Epoch: [57][8360/14090]	Time 0.738 (0.750)	Data 0.001 (0.002)	Loss 2.1150 (2.1653)	Prec@1 45.312 (45.229)	Prec@5 76.562 (75.773)
Epoch: [57][8370/14090]	Time 0.770 (0.750)	Data 0.001 (0.002)	Loss 2.3398 (2.1653)	Prec@1 44.531 (45.228)	Prec@5 72.656 (75.772)
Epoch: [57][8380/14090]	Time 0.743 (0.750)	Data 0.002 (0.002)	Loss 2.1484 (2.1653)	Prec@1 47.656 (45.227)	Prec@5 73.438 (75.772)
Epoch: [57][8390/14090]	Time 0.766 (0.750)	Data 0.001 (0.002)	Loss 2.0534 (2.1653)	Prec@1 56.250 (45.229)	Prec@5 73.438 (75.772)
Epoch: [57][8400/14090]	Time 0.735 (0.750)	Data 0.001 (0.002)	Loss 2.3859 (2.1654)	Prec@1 41.406 (45.225)	Prec@5 65.625 (75.771)
Epoch: [57][8410/14090]	Time 0.728 (0.750)	Data 0.001 (0.002)	Loss 2.0730 (2.1653)	Prec@1 44.531 (45.226)	Prec@5 75.000 (75.771)
Epoch: [57][8420/14090]	Time 0.741 (0.750)	Data 0.001 (0.002)	Loss 2.0749 (2.1654)	Prec@1 45.312 (45.225)	Prec@5 76.562 (75.769)
Epoch: [57][8430/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 2.1784 (2.1654)	Prec@1 43.750 (45.224)	Prec@5 73.438 (75.767)
Epoch: [57][8440/14090]	Time 0.741 (0.750)	Data 0.001 (0.002)	Loss 2.0362 (2.1653)	Prec@1 51.562 (45.229)	Prec@5 78.125 (75.768)
Epoch: [57][8450/14090]	Time 0.743 (0.750)	Data 0.002 (0.002)	Loss 2.2185 (2.1654)	Prec@1 46.094 (45.227)	Prec@5 77.344 (75.768)
Epoch: [57][8460/14090]	Time 0.754 (0.750)	Data 0.001 (0.002)	Loss 2.1320 (2.1654)	Prec@1 46.875 (45.227)	Prec@5 73.438 (75.766)
Epoch: [57][8470/14090]	Time 0.748 (0.750)	Data 0.001 (0.002)	Loss 2.4476 (2.1654)	Prec@1 39.844 (45.228)	Prec@5 71.094 (75.768)
Epoch: [57][8480/14090]	Time 0.737 (0.750)	Data 0.001 (0.002)	Loss 2.1667 (2.1653)	Prec@1 49.219 (45.232)	Prec@5 77.344 (75.769)
Epoch: [57][8490/14090]	Time 0.761 (0.750)	Data 0.001 (0.002)	Loss 2.3704 (2.1653)	Prec@1 41.406 (45.233)	Prec@5 73.438 (75.771)
Epoch: [57][8500/14090]	Time 0.736 (0.750)	Data 0.001 (0.002)	Loss 2.0374 (2.1653)	Prec@1 47.656 (45.232)	Prec@5 75.000 (75.769)
Epoch: [57][8510/14090]	Time 0.742 (0.750)	Data 0.001 (0.002)	Loss 2.2959 (2.1653)	Prec@1 42.969 (45.231)	Prec@5 74.219 (75.768)
Epoch: [57][8520/14090]	Time 0.736 (0.750)	Data 0.001 (0.002)	Loss 2.4274 (2.1654)	Prec@1 38.281 (45.229)	Prec@5 71.875 (75.769)
Epoch: [57][8530/14090]	Time 0.777 (0.750)	Data 0.001 (0.002)	Loss 2.3383 (2.1654)	Prec@1 42.188 (45.229)	Prec@5 72.656 (75.769)
Epoch: [57][8540/14090]	Time 0.753 (0.750)	Data 0.001 (0.002)	Loss 2.1494 (2.1654)	Prec@1 44.531 (45.228)	Prec@5 73.438 (75.770)
Epoch: [57][8550/14090]	Time 0.735 (0.750)	Data 0.001 (0.002)	Loss 2.2418 (2.1654)	Prec@1 42.188 (45.229)	Prec@5 75.781 (75.770)
Epoch: [57][8560/14090]	Time 0.742 (0.750)	Data 0.001 (0.002)	Loss 2.1429 (2.1654)	Prec@1 39.062 (45.229)	Prec@5 78.125 (75.770)
Epoch: [57][8570/14090]	Time 0.740 (0.750)	Data 0.001 (0.002)	Loss 2.0795 (2.1655)	Prec@1 48.438 (45.227)	Prec@5 74.219 (75.769)
Epoch: [57][8580/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 2.0464 (2.1655)	Prec@1 48.438 (45.227)	Prec@5 74.219 (75.768)
Epoch: [57][8590/14090]	Time 0.754 (0.750)	Data 0.002 (0.002)	Loss 2.2774 (2.1655)	Prec@1 42.969 (45.225)	Prec@5 70.312 (75.768)
Epoch: [57][8600/14090]	Time 0.751 (0.750)	Data 0.001 (0.002)	Loss 2.1623 (2.1655)	Prec@1 46.875 (45.227)	Prec@5 76.562 (75.768)
Epoch: [57][8610/14090]	Time 0.757 (0.750)	Data 0.001 (0.002)	Loss 2.1660 (2.1655)	Prec@1 39.062 (45.226)	Prec@5 79.688 (75.768)
Epoch: [57][8620/14090]	Time 0.786 (0.750)	Data 0.001 (0.002)	Loss 2.1822 (2.1654)	Prec@1 48.438 (45.228)	Prec@5 70.312 (75.770)
Epoch: [57][8630/14090]	Time 0.742 (0.750)	Data 0.001 (0.002)	Loss 2.1985 (2.1653)	Prec@1 35.938 (45.228)	Prec@5 75.781 (75.772)
Epoch: [57][8640/14090]	Time 0.747 (0.750)	Data 0.001 (0.002)	Loss 2.1785 (2.1653)	Prec@1 41.406 (45.228)	Prec@5 75.000 (75.773)
Epoch: [57][8650/14090]	Time 0.760 (0.750)	Data 0.001 (0.002)	Loss 2.2177 (2.1653)	Prec@1 43.750 (45.228)	Prec@5 75.000 (75.772)
Epoch: [57][8660/14090]	Time 0.726 (0.750)	Data 0.002 (0.002)	Loss 2.3171 (2.1654)	Prec@1 39.844 (45.228)	Prec@5 71.094 (75.772)
Epoch: [57][8670/14090]	Time 0.734 (0.750)	Data 0.001 (0.002)	Loss 2.3620 (2.1654)	Prec@1 44.531 (45.227)	Prec@5 71.094 (75.770)
Epoch: [57][8680/14090]	Time 0.759 (0.750)	Data 0.001 (0.002)	Loss 2.3905 (2.1655)	Prec@1 37.500 (45.226)	Prec@5 71.875 (75.769)
Epoch: [57][8690/14090]	Time 0.733 (0.750)	Data 0.001 (0.002)	Loss 2.1719 (2.1656)	Prec@1 41.406 (45.221)	Prec@5 76.562 (75.767)
Epoch: [57][8700/14090]	Time 0.746 (0.750)	Data 0.001 (0.002)	Loss 2.1937 (2.1656)	Prec@1 51.562 (45.223)	Prec@5 76.562 (75.768)
Epoch: [57][8710/14090]	Time 0.730 (0.750)	Data 0.001 (0.002)	Loss 2.1488 (2.1657)	Prec@1 38.281 (45.221)	Prec@5 78.906 (75.767)
Epoch: [57][8720/14090]	Time 0.753 (0.750)	Data 0.001 (0.002)	Loss 2.1105 (2.1657)	Prec@1 43.750 (45.219)	Prec@5 76.562 (75.767)
Epoch: [57][8730/14090]	Time 0.736 (0.750)	Data 0.002 (0.002)	Loss 2.2378 (2.1659)	Prec@1 41.406 (45.213)	Prec@5 69.531 (75.763)
Epoch: [57][8740/14090]	Time 0.759 (0.750)	Data 0.001 (0.002)	Loss 2.2931 (2.1660)	Prec@1 33.594 (45.208)	Prec@5 75.781 (75.761)
Epoch: [57][8750/14090]	Time 0.769 (0.750)	Data 0.001 (0.002)	Loss 2.2923 (2.1661)	Prec@1 43.750 (45.204)	Prec@5 78.125 (75.761)
Epoch: [57][8760/14090]	Time 0.757 (0.750)	Data 0.001 (0.002)	Loss 2.1517 (2.1663)	Prec@1 45.312 (45.199)	Prec@5 77.344 (75.757)
Epoch: [57][8770/14090]	Time 0.739 (0.750)	Data 0.001 (0.002)	Loss 2.2495 (2.1663)	Prec@1 45.312 (45.197)	Prec@5 73.438 (75.756)
Epoch: [57][8780/14090]	Time 0.753 (0.750)	Data 0.001 (0.002)	Loss 2.1177 (2.1664)	Prec@1 44.531 (45.197)	Prec@5 71.875 (75.755)
Epoch: [57][8790/14090]	Time 0.760 (0.750)	Data 0.001 (0.002)	Loss 2.0539 (2.1664)	Prec@1 50.000 (45.198)	Prec@5 77.344 (75.754)
Epoch: [57][8800/14090]	Time 0.745 (0.750)	Data 0.002 (0.002)	Loss 2.0369 (2.1664)	Prec@1 49.219 (45.198)	Prec@5 81.250 (75.755)
Epoch: [57][8810/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 2.2933 (2.1665)	Prec@1 39.844 (45.198)	Prec@5 74.219 (75.753)
Epoch: [57][8820/14090]	Time 0.766 (0.750)	Data 0.001 (0.002)	Loss 2.1098 (2.1666)	Prec@1 46.875 (45.197)	Prec@5 80.469 (75.753)
Epoch: [57][8830/14090]	Time 0.751 (0.750)	Data 0.001 (0.002)	Loss 2.2550 (2.1666)	Prec@1 38.281 (45.197)	Prec@5 75.781 (75.753)
Epoch: [57][8840/14090]	Time 0.739 (0.750)	Data 0.001 (0.002)	Loss 2.1408 (2.1666)	Prec@1 44.531 (45.198)	Prec@5 77.344 (75.754)
Epoch: [57][8850/14090]	Time 0.740 (0.750)	Data 0.001 (0.002)	Loss 2.2047 (2.1666)	Prec@1 42.188 (45.197)	Prec@5 74.219 (75.753)
Epoch: [57][8860/14090]	Time 0.764 (0.750)	Data 0.001 (0.002)	Loss 2.2534 (2.1667)	Prec@1 40.625 (45.195)	Prec@5 75.781 (75.752)
Epoch: [57][8870/14090]	Time 0.754 (0.750)	Data 0.002 (0.002)	Loss 1.8694 (2.1665)	Prec@1 58.594 (45.199)	Prec@5 77.344 (75.753)
Epoch: [57][8880/14090]	Time 0.732 (0.750)	Data 0.001 (0.002)	Loss 2.3050 (2.1666)	Prec@1 39.844 (45.197)	Prec@5 69.531 (75.751)
Epoch: [57][8890/14090]	Time 0.758 (0.750)	Data 0.001 (0.002)	Loss 2.3340 (2.1668)	Prec@1 39.844 (45.195)	Prec@5 74.219 (75.749)
Epoch: [57][8900/14090]	Time 0.766 (0.750)	Data 0.001 (0.002)	Loss 2.1327 (2.1668)	Prec@1 41.406 (45.194)	Prec@5 75.781 (75.750)
Epoch: [57][8910/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 2.0858 (2.1668)	Prec@1 49.219 (45.195)	Prec@5 77.344 (75.748)
Epoch: [57][8920/14090]	Time 0.730 (0.750)	Data 0.001 (0.002)	Loss 2.2536 (2.1667)	Prec@1 41.406 (45.196)	Prec@5 77.344 (75.750)
Epoch: [57][8930/14090]	Time 0.755 (0.750)	Data 0.001 (0.002)	Loss 2.2208 (2.1668)	Prec@1 47.656 (45.196)	Prec@5 71.875 (75.749)
Epoch: [57][8940/14090]	Time 0.743 (0.750)	Data 0.002 (0.002)	Loss 2.3598 (2.1668)	Prec@1 38.281 (45.195)	Prec@5 72.656 (75.748)
Epoch: [57][8950/14090]	Time 0.734 (0.750)	Data 0.001 (0.002)	Loss 2.0905 (2.1668)	Prec@1 46.094 (45.196)	Prec@5 75.000 (75.751)
Epoch: [57][8960/14090]	Time 0.761 (0.750)	Data 0.001 (0.002)	Loss 2.2128 (2.1668)	Prec@1 45.312 (45.197)	Prec@5 73.438 (75.751)
Epoch: [57][8970/14090]	Time 0.737 (0.750)	Data 0.001 (0.002)	Loss 1.9612 (2.1668)	Prec@1 46.875 (45.195)	Prec@5 80.469 (75.750)
Epoch: [57][8980/14090]	Time 0.760 (0.750)	Data 0.001 (0.002)	Loss 2.4402 (2.1668)	Prec@1 38.281 (45.195)	Prec@5 71.094 (75.751)
Epoch: [57][8990/14090]	Time 0.737 (0.750)	Data 0.001 (0.002)	Loss 1.9672 (2.1667)	Prec@1 48.438 (45.197)	Prec@5 82.031 (75.753)
Epoch: [57][9000/14090]	Time 0.758 (0.750)	Data 0.001 (0.002)	Loss 2.5529 (2.1668)	Prec@1 35.156 (45.195)	Prec@5 69.531 (75.753)
Epoch: [57][9010/14090]	Time 0.737 (0.750)	Data 0.002 (0.002)	Loss 2.0484 (2.1668)	Prec@1 49.219 (45.196)	Prec@5 75.781 (75.753)
Epoch: [57][9020/14090]	Time 0.800 (0.750)	Data 0.001 (0.002)	Loss 1.8950 (2.1667)	Prec@1 48.438 (45.197)	Prec@5 85.938 (75.756)
Epoch: [57][9030/14090]	Time 0.730 (0.750)	Data 0.001 (0.002)	Loss 2.1911 (2.1667)	Prec@1 46.875 (45.198)	Prec@5 77.344 (75.755)
Epoch: [57][9040/14090]	Time 0.730 (0.750)	Data 0.001 (0.002)	Loss 1.9331 (2.1666)	Prec@1 44.531 (45.200)	Prec@5 80.469 (75.755)
Epoch: [57][9050/14090]	Time 0.736 (0.750)	Data 0.001 (0.002)	Loss 2.1781 (2.1666)	Prec@1 46.875 (45.200)	Prec@5 71.875 (75.756)
Epoch: [57][9060/14090]	Time 0.757 (0.750)	Data 0.001 (0.002)	Loss 2.2546 (2.1666)	Prec@1 46.094 (45.200)	Prec@5 74.219 (75.756)
Epoch: [57][9070/14090]	Time 0.739 (0.750)	Data 0.001 (0.002)	Loss 2.0292 (2.1665)	Prec@1 46.094 (45.202)	Prec@5 77.344 (75.756)
Epoch: [57][9080/14090]	Time 0.736 (0.750)	Data 0.002 (0.002)	Loss 2.0401 (2.1665)	Prec@1 42.188 (45.202)	Prec@5 75.781 (75.755)
Epoch: [57][9090/14090]	Time 0.782 (0.750)	Data 0.001 (0.001)	Loss 2.2903 (2.1666)	Prec@1 42.188 (45.198)	Prec@5 73.438 (75.753)
Epoch: [57][9100/14090]	Time 0.730 (0.750)	Data 0.001 (0.001)	Loss 2.2603 (2.1665)	Prec@1 44.531 (45.199)	Prec@5 74.219 (75.755)
Epoch: [57][9110/14090]	Time 0.775 (0.750)	Data 0.001 (0.001)	Loss 1.9690 (2.1665)	Prec@1 52.344 (45.198)	Prec@5 79.688 (75.756)
Epoch: [57][9120/14090]	Time 0.749 (0.750)	Data 0.001 (0.001)	Loss 2.1725 (2.1664)	Prec@1 38.281 (45.198)	Prec@5 79.688 (75.757)
Epoch: [57][9130/14090]	Time 0.729 (0.750)	Data 0.001 (0.001)	Loss 2.1043 (2.1664)	Prec@1 50.000 (45.199)	Prec@5 72.656 (75.757)
Epoch: [57][9140/14090]	Time 0.732 (0.750)	Data 0.001 (0.001)	Loss 1.8279 (2.1663)	Prec@1 55.469 (45.202)	Prec@5 80.469 (75.757)
Epoch: [57][9150/14090]	Time 0.753 (0.750)	Data 0.002 (0.001)	Loss 1.7983 (2.1663)	Prec@1 48.438 (45.202)	Prec@5 86.719 (75.757)
Epoch: [57][9160/14090]	Time 0.745 (0.750)	Data 0.001 (0.001)	Loss 2.4815 (2.1663)	Prec@1 42.969 (45.201)	Prec@5 71.875 (75.757)
Epoch: [57][9170/14090]	Time 0.773 (0.750)	Data 0.001 (0.001)	Loss 2.0105 (2.1663)	Prec@1 51.562 (45.202)	Prec@5 78.125 (75.756)
Epoch: [57][9180/14090]	Time 0.753 (0.750)	Data 0.001 (0.001)	Loss 2.4973 (2.1663)	Prec@1 38.281 (45.201)	Prec@5 68.750 (75.755)
Epoch: [57][9190/14090]	Time 0.732 (0.750)	Data 0.001 (0.001)	Loss 2.1340 (2.1663)	Prec@1 45.312 (45.199)	Prec@5 75.000 (75.756)
Epoch: [57][9200/14090]	Time 0.740 (0.750)	Data 0.001 (0.001)	Loss 2.1701 (2.1663)	Prec@1 46.875 (45.196)	Prec@5 77.344 (75.755)
Epoch: [57][9210/14090]	Time 0.748 (0.750)	Data 0.001 (0.001)	Loss 2.2069 (2.1663)	Prec@1 43.750 (45.197)	Prec@5 71.875 (75.755)
Epoch: [57][9220/14090]	Time 0.727 (0.750)	Data 0.002 (0.001)	Loss 2.3370 (2.1663)	Prec@1 42.969 (45.197)	Prec@5 76.562 (75.755)
Epoch: [57][9230/14090]	Time 0.737 (0.750)	Data 0.001 (0.001)	Loss 2.2658 (2.1664)	Prec@1 44.531 (45.194)	Prec@5 75.000 (75.754)
Epoch: [57][9240/14090]	Time 0.753 (0.750)	Data 0.001 (0.001)	Loss 2.2312 (2.1664)	Prec@1 41.406 (45.192)	Prec@5 78.906 (75.755)
Epoch: [57][9250/14090]	Time 0.761 (0.750)	Data 0.001 (0.001)	Loss 2.1864 (2.1665)	Prec@1 42.969 (45.189)	Prec@5 75.781 (75.753)
Epoch: [57][9260/14090]	Time 0.770 (0.750)	Data 0.001 (0.001)	Loss 2.3943 (2.1665)	Prec@1 42.969 (45.189)	Prec@5 71.875 (75.753)
Epoch: [57][9270/14090]	Time 0.754 (0.750)	Data 0.001 (0.001)	Loss 1.9639 (2.1663)	Prec@1 50.000 (45.191)	Prec@5 79.688 (75.757)
Epoch: [57][9280/14090]	Time 0.742 (0.750)	Data 0.001 (0.001)	Loss 2.2784 (2.1664)	Prec@1 37.500 (45.190)	Prec@5 76.562 (75.757)
Epoch: [57][9290/14090]	Time 0.741 (0.750)	Data 0.002 (0.001)	Loss 2.2886 (2.1664)	Prec@1 39.844 (45.189)	Prec@5 71.094 (75.757)
Epoch: [57][9300/14090]	Time 0.747 (0.750)	Data 0.001 (0.001)	Loss 2.4270 (2.1665)	Prec@1 35.938 (45.187)	Prec@5 74.219 (75.756)
Epoch: [57][9310/14090]	Time 0.746 (0.750)	Data 0.001 (0.001)	Loss 2.1809 (2.1665)	Prec@1 48.438 (45.185)	Prec@5 74.219 (75.756)
Epoch: [57][9320/14090]	Time 0.726 (0.750)	Data 0.001 (0.001)	Loss 2.1824 (2.1665)	Prec@1 45.312 (45.187)	Prec@5 78.906 (75.756)
Epoch: [57][9330/14090]	Time 0.747 (0.750)	Data 0.001 (0.001)	Loss 2.1212 (2.1665)	Prec@1 53.125 (45.190)	Prec@5 76.562 (75.756)
Epoch: [57][9340/14090]	Time 0.736 (0.750)	Data 0.001 (0.001)	Loss 2.0523 (2.1665)	Prec@1 49.219 (45.190)	Prec@5 79.688 (75.755)
Epoch: [57][9350/14090]	Time 0.751 (0.750)	Data 0.001 (0.001)	Loss 1.9196 (2.1666)	Prec@1 49.219 (45.190)	Prec@5 82.031 (75.754)
Epoch: [57][9360/14090]	Time 0.756 (0.750)	Data 0.002 (0.001)	Loss 2.1665 (2.1666)	Prec@1 44.531 (45.192)	Prec@5 74.219 (75.755)
Epoch: [57][9370/14090]	Time 0.733 (0.750)	Data 0.001 (0.001)	Loss 2.1503 (2.1667)	Prec@1 44.531 (45.188)	Prec@5 81.250 (75.754)
Epoch: [57][9380/14090]	Time 0.758 (0.750)	Data 0.001 (0.001)	Loss 2.1336 (2.1668)	Prec@1 44.531 (45.186)	Prec@5 75.000 (75.751)
Epoch: [57][9390/14090]	Time 0.778 (0.750)	Data 0.001 (0.001)	Loss 2.1760 (2.1667)	Prec@1 45.312 (45.188)	Prec@5 74.219 (75.752)
Epoch: [57][9400/14090]	Time 0.758 (0.750)	Data 0.001 (0.001)	Loss 2.3386 (2.1667)	Prec@1 41.406 (45.190)	Prec@5 75.781 (75.753)
Epoch: [57][9410/14090]	Time 0.732 (0.750)	Data 0.001 (0.001)	Loss 2.1474 (2.1667)	Prec@1 46.875 (45.187)	Prec@5 75.781 (75.751)
Epoch: [57][9420/14090]	Time 0.737 (0.750)	Data 0.001 (0.001)	Loss 2.0389 (2.1667)	Prec@1 48.438 (45.188)	Prec@5 78.125 (75.752)
Epoch: [57][9430/14090]	Time 0.770 (0.750)	Data 0.002 (0.001)	Loss 1.8681 (2.1666)	Prec@1 53.906 (45.189)	Prec@5 77.344 (75.754)
Epoch: [57][9440/14090]	Time 0.759 (0.750)	Data 0.001 (0.001)	Loss 2.5348 (2.1668)	Prec@1 44.531 (45.187)	Prec@5 68.750 (75.753)
Epoch: [57][9450/14090]	Time 0.753 (0.750)	Data 0.001 (0.001)	Loss 2.2578 (2.1667)	Prec@1 48.438 (45.188)	Prec@5 78.906 (75.754)
Epoch: [57][9460/14090]	Time 0.725 (0.750)	Data 0.001 (0.001)	Loss 2.2994 (2.1668)	Prec@1 50.000 (45.186)	Prec@5 68.750 (75.754)
Epoch: [57][9470/14090]	Time 0.734 (0.750)	Data 0.001 (0.001)	Loss 2.1283 (2.1667)	Prec@1 47.656 (45.188)	Prec@5 82.031 (75.756)
Epoch: [57][9480/14090]	Time 0.750 (0.750)	Data 0.001 (0.001)	Loss 2.1123 (2.1667)	Prec@1 47.656 (45.188)	Prec@5 77.344 (75.757)
Epoch: [57][9490/14090]	Time 0.755 (0.750)	Data 0.001 (0.001)	Loss 2.3020 (2.1667)	Prec@1 35.156 (45.186)	Prec@5 73.438 (75.757)
Epoch: [57][9500/14090]	Time 0.754 (0.750)	Data 0.002 (0.001)	Loss 1.8789 (2.1667)	Prec@1 46.094 (45.186)	Prec@5 83.594 (75.757)
Epoch: [57][9510/14090]	Time 0.756 (0.750)	Data 0.001 (0.001)	Loss 1.9552 (2.1667)	Prec@1 50.781 (45.186)	Prec@5 76.562 (75.758)
Epoch: [57][9520/14090]	Time 0.731 (0.750)	Data 0.001 (0.001)	Loss 2.1973 (2.1668)	Prec@1 48.438 (45.185)	Prec@5 78.125 (75.757)
Epoch: [57][9530/14090]	Time 0.760 (0.750)	Data 0.001 (0.001)	Loss 2.3212 (2.1667)	Prec@1 47.656 (45.188)	Prec@5 71.875 (75.758)
Epoch: [57][9540/14090]	Time 0.752 (0.750)	Data 0.001 (0.001)	Loss 2.3454 (2.1666)	Prec@1 42.188 (45.190)	Prec@5 78.906 (75.760)
Epoch: [57][9550/14090]	Time 0.731 (0.750)	Data 0.001 (0.001)	Loss 2.1125 (2.1666)	Prec@1 45.312 (45.191)	Prec@5 78.125 (75.761)
Epoch: [57][9560/14090]	Time 0.736 (0.750)	Data 0.001 (0.001)	Loss 2.3455 (2.1666)	Prec@1 35.156 (45.189)	Prec@5 76.562 (75.760)
Epoch: [57][9570/14090]	Time 0.772 (0.750)	Data 0.002 (0.001)	Loss 1.9164 (2.1666)	Prec@1 50.781 (45.189)	Prec@5 81.250 (75.761)
Epoch: [57][9580/14090]	Time 0.753 (0.750)	Data 0.001 (0.001)	Loss 2.0025 (2.1666)	Prec@1 50.781 (45.189)	Prec@5 75.781 (75.760)
Epoch: [57][9590/14090]	Time 0.750 (0.750)	Data 0.001 (0.001)	Loss 2.3308 (2.1666)	Prec@1 38.281 (45.189)	Prec@5 74.219 (75.761)
Epoch: [57][9600/14090]	Time 0.766 (0.750)	Data 0.001 (0.001)	Loss 2.2290 (2.1664)	Prec@1 37.500 (45.190)	Prec@5 75.000 (75.762)
Epoch: [57][9610/14090]	Time 0.739 (0.750)	Data 0.001 (0.001)	Loss 2.3396 (2.1664)	Prec@1 45.312 (45.191)	Prec@5 71.875 (75.763)
Epoch: [57][9620/14090]	Time 0.743 (0.750)	Data 0.001 (0.001)	Loss 2.4434 (2.1665)	Prec@1 39.062 (45.190)	Prec@5 71.875 (75.761)
Epoch: [57][9630/14090]	Time 0.754 (0.750)	Data 0.001 (0.001)	Loss 1.7255 (2.1665)	Prec@1 50.781 (45.190)	Prec@5 85.938 (75.762)
Epoch: [57][9640/14090]	Time 0.736 (0.750)	Data 0.002 (0.001)	Loss 2.0513 (2.1666)	Prec@1 42.969 (45.189)	Prec@5 77.344 (75.759)
Epoch: [57][9650/14090]	Time 0.756 (0.750)	Data 0.001 (0.001)	Loss 2.1301 (2.1665)	Prec@1 42.969 (45.190)	Prec@5 82.031 (75.760)
Epoch: [57][9660/14090]	Time 0.736 (0.750)	Data 0.001 (0.001)	Loss 2.3771 (2.1665)	Prec@1 40.625 (45.190)	Prec@5 68.750 (75.759)
Epoch: [57][9670/14090]	Time 0.755 (0.750)	Data 0.001 (0.001)	Loss 2.2990 (2.1666)	Prec@1 50.000 (45.188)	Prec@5 70.312 (75.757)
Epoch: [57][9680/14090]	Time 0.770 (0.750)	Data 0.001 (0.001)	Loss 2.2461 (2.1666)	Prec@1 43.750 (45.188)	Prec@5 78.125 (75.756)
Epoch: [57][9690/14090]	Time 0.728 (0.750)	Data 0.001 (0.001)	Loss 1.9298 (2.1666)	Prec@1 50.000 (45.190)	Prec@5 80.469 (75.758)
Epoch: [57][9700/14090]	Time 0.743 (0.750)	Data 0.001 (0.001)	Loss 2.1576 (2.1665)	Prec@1 50.781 (45.191)	Prec@5 82.031 (75.758)
Epoch: [57][9710/14090]	Time 0.741 (0.750)	Data 0.001 (0.001)	Loss 2.1719 (2.1665)	Prec@1 47.656 (45.194)	Prec@5 73.438 (75.758)
Epoch: [57][9720/14090]	Time 0.756 (0.750)	Data 0.001 (0.001)	Loss 1.9566 (2.1666)	Prec@1 53.906 (45.194)	Prec@5 81.250 (75.758)
Epoch: [57][9730/14090]	Time 0.784 (0.750)	Data 0.001 (0.001)	Loss 2.6318 (2.1666)	Prec@1 32.812 (45.194)	Prec@5 71.875 (75.759)
Epoch: [57][9740/14090]	Time 0.730 (0.750)	Data 0.001 (0.001)	Loss 2.2342 (2.1667)	Prec@1 44.531 (45.192)	Prec@5 71.875 (75.758)
Epoch: [57][9750/14090]	Time 0.738 (0.750)	Data 0.001 (0.001)	Loss 2.1013 (2.1667)	Prec@1 47.656 (45.191)	Prec@5 75.781 (75.758)
Epoch: [57][9760/14090]	Time 0.750 (0.750)	Data 0.001 (0.001)	Loss 1.9759 (2.1665)	Prec@1 48.438 (45.192)	Prec@5 82.031 (75.761)
Epoch: [57][9770/14090]	Time 0.757 (0.750)	Data 0.001 (0.001)	Loss 2.0030 (2.1665)	Prec@1 48.438 (45.192)	Prec@5 76.562 (75.762)
Epoch: [57][9780/14090]	Time 0.736 (0.750)	Data 0.002 (0.001)	Loss 1.9083 (2.1665)	Prec@1 50.000 (45.195)	Prec@5 79.688 (75.762)
Epoch: [57][9790/14090]	Time 0.736 (0.750)	Data 0.001 (0.001)	Loss 2.2119 (2.1666)	Prec@1 42.969 (45.194)	Prec@5 72.656 (75.761)
Epoch: [57][9800/14090]	Time 0.743 (0.750)	Data 0.001 (0.001)	Loss 2.1544 (2.1666)	Prec@1 43.750 (45.195)	Prec@5 78.125 (75.761)
Epoch: [57][9810/14090]	Time 0.748 (0.750)	Data 0.001 (0.001)	Loss 2.0044 (2.1666)	Prec@1 44.531 (45.194)	Prec@5 77.344 (75.758)
Epoch: [57][9820/14090]	Time 0.784 (0.750)	Data 0.001 (0.001)	Loss 2.5473 (2.1667)	Prec@1 39.062 (45.193)	Prec@5 67.188 (75.757)
Epoch: [57][9830/14090]	Time 0.745 (0.750)	Data 0.001 (0.001)	Loss 2.2890 (2.1667)	Prec@1 47.656 (45.193)	Prec@5 75.781 (75.756)
Epoch: [57][9840/14090]	Time 0.749 (0.750)	Data 0.001 (0.001)	Loss 2.1018 (2.1668)	Prec@1 46.094 (45.192)	Prec@5 82.812 (75.755)
Epoch: [57][9850/14090]	Time 0.761 (0.750)	Data 0.001 (0.001)	Loss 1.7698 (2.1667)	Prec@1 53.125 (45.193)	Prec@5 84.375 (75.755)
Epoch: [57][9860/14090]	Time 0.761 (0.750)	Data 0.001 (0.001)	Loss 2.3541 (2.1668)	Prec@1 42.969 (45.191)	Prec@5 71.875 (75.754)
Epoch: [57][9870/14090]	Time 0.738 (0.750)	Data 0.001 (0.001)	Loss 2.3347 (2.1668)	Prec@1 47.656 (45.193)	Prec@5 71.875 (75.756)
Epoch: [57][9880/14090]	Time 0.723 (0.750)	Data 0.001 (0.001)	Loss 2.2532 (2.1667)	Prec@1 48.438 (45.194)	Prec@5 75.000 (75.757)
Epoch: [57][9890/14090]	Time 0.761 (0.750)	Data 0.001 (0.001)	Loss 2.1080 (2.1667)	Prec@1 48.438 (45.195)	Prec@5 76.562 (75.756)
Epoch: [57][9900/14090]	Time 0.746 (0.750)	Data 0.001 (0.001)	Loss 2.2514 (2.1668)	Prec@1 43.750 (45.194)	Prec@5 71.875 (75.753)
Epoch: [57][9910/14090]	Time 0.749 (0.750)	Data 0.001 (0.001)	Loss 2.0725 (2.1669)	Prec@1 49.219 (45.194)	Prec@5 82.031 (75.753)
Epoch: [57][9920/14090]	Time 0.754 (0.750)	Data 0.002 (0.001)	Loss 1.9226 (2.1669)	Prec@1 50.781 (45.194)	Prec@5 82.812 (75.752)
Epoch: [57][9930/14090]	Time 0.734 (0.750)	Data 0.001 (0.001)	Loss 2.1526 (2.1668)	Prec@1 40.625 (45.196)	Prec@5 79.688 (75.754)
Epoch: [57][9940/14090]	Time 0.746 (0.750)	Data 0.001 (0.001)	Loss 2.3032 (2.1668)	Prec@1 39.844 (45.197)	Prec@5 70.312 (75.753)
Epoch: [57][9950/14090]	Time 0.750 (0.750)	Data 0.001 (0.001)	Loss 2.3586 (2.1667)	Prec@1 40.625 (45.196)	Prec@5 71.094 (75.755)
Epoch: [57][9960/14090]	Time 0.773 (0.750)	Data 0.001 (0.001)	Loss 2.2340 (2.1667)	Prec@1 46.094 (45.195)	Prec@5 74.219 (75.757)
Epoch: [57][9970/14090]	Time 0.764 (0.750)	Data 0.001 (0.001)	Loss 2.1689 (2.1667)	Prec@1 47.656 (45.195)	Prec@5 77.344 (75.757)
Epoch: [57][9980/14090]	Time 0.748 (0.750)	Data 0.001 (0.001)	Loss 2.2917 (2.1667)	Prec@1 40.625 (45.196)	Prec@5 76.562 (75.757)
Epoch: [57][9990/14090]	Time 0.749 (0.750)	Data 0.002 (0.001)	Loss 2.3761 (2.1667)	Prec@1 40.625 (45.197)	Prec@5 74.219 (75.756)
Epoch: [57][10000/14090]	Time 0.786 (0.750)	Data 0.001 (0.001)	Loss 2.0636 (2.1668)	Prec@1 51.562 (45.197)	Prec@5 76.562 (75.755)
Epoch: [57][10010/14090]	Time 0.718 (0.750)	Data 0.001 (0.001)	Loss 2.2324 (2.1668)	Prec@1 44.531 (45.196)	Prec@5 72.656 (75.753)
Epoch: [57][10020/14090]	Time 0.738 (0.750)	Data 0.001 (0.001)	Loss 2.0854 (2.1668)	Prec@1 44.531 (45.196)	Prec@5 78.125 (75.753)
Epoch: [57][10030/14090]	Time 0.753 (0.750)	Data 0.001 (0.001)	Loss 2.3384 (2.1668)	Prec@1 40.625 (45.197)	Prec@5 71.094 (75.753)
Epoch: [57][10040/14090]	Time 0.730 (0.750)	Data 0.001 (0.001)	Loss 2.2914 (2.1668)	Prec@1 41.406 (45.195)	Prec@5 71.875 (75.752)
Epoch: [57][10050/14090]	Time 0.745 (0.750)	Data 0.001 (0.001)	Loss 1.9524 (2.1668)	Prec@1 44.531 (45.196)	Prec@5 79.688 (75.753)
Epoch: [57][10060/14090]	Time 0.751 (0.750)	Data 0.002 (0.001)	Loss 2.0639 (2.1668)	Prec@1 42.188 (45.194)	Prec@5 77.344 (75.751)
Epoch: [57][10070/14090]	Time 0.756 (0.750)	Data 0.001 (0.001)	Loss 2.2873 (2.1667)	Prec@1 42.969 (45.195)	Prec@5 72.656 (75.752)
Epoch: [57][10080/14090]	Time 0.752 (0.750)	Data 0.001 (0.001)	Loss 2.4795 (2.1668)	Prec@1 37.500 (45.193)	Prec@5 67.188 (75.751)
Epoch: [57][10090/14090]	Time 0.777 (0.750)	Data 0.001 (0.001)	Loss 2.3267 (2.1668)	Prec@1 40.625 (45.192)	Prec@5 67.188 (75.749)
Epoch: [57][10100/14090]	Time 0.748 (0.750)	Data 0.001 (0.001)	Loss 2.3336 (2.1669)	Prec@1 42.969 (45.192)	Prec@5 71.094 (75.748)
Epoch: [57][10110/14090]	Time 0.746 (0.750)	Data 0.001 (0.001)	Loss 2.3255 (2.1668)	Prec@1 37.500 (45.193)	Prec@5 77.344 (75.749)
Epoch: [57][10120/14090]	Time 0.753 (0.750)	Data 0.001 (0.001)	Loss 2.3566 (2.1668)	Prec@1 49.219 (45.194)	Prec@5 71.094 (75.749)
Epoch: [57][10130/14090]	Time 0.735 (0.750)	Data 0.002 (0.001)	Loss 2.2504 (2.1669)	Prec@1 48.438 (45.194)	Prec@5 71.094 (75.749)
Epoch: [57][10140/14090]	Time 0.760 (0.750)	Data 0.001 (0.001)	Loss 2.5821 (2.1670)	Prec@1 40.625 (45.191)	Prec@5 68.750 (75.747)
Epoch: [57][10150/14090]	Time 0.756 (0.750)	Data 0.001 (0.001)	Loss 1.9364 (2.1670)	Prec@1 53.125 (45.191)	Prec@5 82.031 (75.746)
Epoch: [57][10160/14090]	Time 0.729 (0.750)	Data 0.001 (0.001)	Loss 2.1075 (2.1670)	Prec@1 42.188 (45.192)	Prec@5 80.469 (75.745)
Epoch: [57][10170/14090]	Time 0.724 (0.750)	Data 0.001 (0.001)	Loss 2.2577 (2.1670)	Prec@1 39.844 (45.191)	Prec@5 78.125 (75.745)
Epoch: [57][10180/14090]	Time 0.749 (0.750)	Data 0.001 (0.001)	Loss 2.3779 (2.1670)	Prec@1 42.188 (45.193)	Prec@5 73.438 (75.746)
Epoch: [57][10190/14090]	Time 0.752 (0.750)	Data 0.001 (0.001)	Loss 1.9158 (2.1669)	Prec@1 42.188 (45.195)	Prec@5 81.250 (75.748)
Epoch: [57][10200/14090]	Time 0.753 (0.750)	Data 0.002 (0.001)	Loss 2.2402 (2.1669)	Prec@1 41.406 (45.196)	Prec@5 77.344 (75.748)
Epoch: [57][10210/14090]	Time 0.751 (0.750)	Data 0.001 (0.001)	Loss 2.3281 (2.1668)	Prec@1 42.188 (45.195)	Prec@5 69.531 (75.748)
Epoch: [57][10220/14090]	Time 0.745 (0.750)	Data 0.001 (0.001)	Loss 2.1814 (2.1667)	Prec@1 49.219 (45.198)	Prec@5 77.344 (75.751)
Epoch: [57][10230/14090]	Time 0.746 (0.750)	Data 0.001 (0.001)	Loss 2.0811 (2.1667)	Prec@1 46.094 (45.198)	Prec@5 79.688 (75.752)
Epoch: [57][10240/14090]	Time 0.765 (0.750)	Data 0.001 (0.001)	Loss 2.0072 (2.1667)	Prec@1 53.125 (45.200)	Prec@5 75.781 (75.753)
Epoch: [57][10250/14090]	Time 0.749 (0.750)	Data 0.001 (0.001)	Loss 2.2901 (2.1667)	Prec@1 44.531 (45.200)	Prec@5 76.562 (75.753)
Epoch: [57][10260/14090]	Time 0.750 (0.750)	Data 0.001 (0.001)	Loss 2.1219 (2.1667)	Prec@1 47.656 (45.201)	Prec@5 78.125 (75.753)
Epoch: [57][10270/14090]	Time 0.736 (0.750)	Data 0.002 (0.001)	Loss 2.1569 (2.1667)	Prec@1 46.094 (45.201)	Prec@5 75.000 (75.754)
Epoch: [57][10280/14090]	Time 0.741 (0.750)	Data 0.001 (0.001)	Loss 2.0929 (2.1667)	Prec@1 46.875 (45.203)	Prec@5 76.562 (75.755)
Epoch: [57][10290/14090]	Time 0.742 (0.750)	Data 0.001 (0.001)	Loss 1.9569 (2.1666)	Prec@1 50.781 (45.204)	Prec@5 79.688 (75.755)
Epoch: [57][10300/14090]	Time 0.757 (0.750)	Data 0.001 (0.001)	Loss 2.1556 (2.1665)	Prec@1 46.094 (45.205)	Prec@5 74.219 (75.758)
Epoch: [57][10310/14090]	Time 0.758 (0.750)	Data 0.001 (0.001)	Loss 2.0060 (2.1666)	Prec@1 50.000 (45.204)	Prec@5 78.906 (75.757)
Epoch: [57][10320/14090]	Time 0.758 (0.750)	Data 0.001 (0.001)	Loss 2.0781 (2.1666)	Prec@1 43.750 (45.203)	Prec@5 78.906 (75.757)
Epoch: [57][10330/14090]	Time 0.768 (0.750)	Data 0.001 (0.001)	Loss 2.1571 (2.1666)	Prec@1 44.531 (45.202)	Prec@5 73.438 (75.756)
Epoch: [57][10340/14090]	Time 0.747 (0.750)	Data 0.002 (0.001)	Loss 2.2602 (2.1666)	Prec@1 38.281 (45.203)	Prec@5 74.219 (75.755)
Epoch: [57][10350/14090]	Time 0.762 (0.750)	Data 0.001 (0.001)	Loss 2.3110 (2.1668)	Prec@1 37.500 (45.200)	Prec@5 68.750 (75.753)
Epoch: [57][10360/14090]	Time 0.743 (0.750)	Data 0.001 (0.001)	Loss 2.5291 (2.1668)	Prec@1 41.406 (45.198)	Prec@5 68.750 (75.752)
Epoch: [57][10370/14090]	Time 0.740 (0.750)	Data 0.001 (0.001)	Loss 1.9304 (2.1668)	Prec@1 49.219 (45.200)	Prec@5 78.125 (75.752)
Epoch: [57][10380/14090]	Time 0.772 (0.750)	Data 0.001 (0.001)	Loss 2.3276 (2.1668)	Prec@1 42.188 (45.200)	Prec@5 71.875 (75.751)
Epoch: [57][10390/14090]	Time 0.728 (0.750)	Data 0.001 (0.001)	Loss 2.1677 (2.1668)	Prec@1 42.188 (45.199)	Prec@5 73.438 (75.750)
Epoch: [57][10400/14090]	Time 0.740 (0.750)	Data 0.001 (0.001)	Loss 2.0319 (2.1668)	Prec@1 49.219 (45.200)	Prec@5 77.344 (75.750)
Epoch: [57][10410/14090]	Time 0.758 (0.750)	Data 0.002 (0.001)	Loss 2.1426 (2.1668)	Prec@1 46.875 (45.200)	Prec@5 73.438 (75.749)
Epoch: [57][10420/14090]	Time 0.747 (0.750)	Data 0.001 (0.001)	Loss 2.4086 (2.1669)	Prec@1 39.844 (45.198)	Prec@5 70.312 (75.747)
Epoch: [57][10430/14090]	Time 0.749 (0.750)	Data 0.001 (0.001)	Loss 2.2087 (2.1669)	Prec@1 42.969 (45.198)	Prec@5 74.219 (75.746)
Epoch: [57][10440/14090]	Time 0.744 (0.750)	Data 0.001 (0.001)	Loss 2.3000 (2.1670)	Prec@1 41.406 (45.196)	Prec@5 70.312 (75.746)
Epoch: [57][10450/14090]	Time 0.756 (0.750)	Data 0.001 (0.001)	Loss 1.9969 (2.1669)	Prec@1 46.094 (45.196)	Prec@5 80.469 (75.747)
Epoch: [57][10460/14090]	Time 0.758 (0.750)	Data 0.001 (0.001)	Loss 1.9563 (2.1670)	Prec@1 49.219 (45.195)	Prec@5 75.781 (75.746)
Epoch: [57][10470/14090]	Time 0.731 (0.750)	Data 0.001 (0.001)	Loss 1.9070 (2.1669)	Prec@1 49.219 (45.195)	Prec@5 80.469 (75.746)
Epoch: [57][10480/14090]	Time 0.740 (0.750)	Data 0.002 (0.001)	Loss 1.9836 (2.1669)	Prec@1 43.750 (45.194)	Prec@5 77.344 (75.747)
Epoch: [57][10490/14090]	Time 0.733 (0.750)	Data 0.001 (0.001)	Loss 2.1910 (2.1670)	Prec@1 47.656 (45.192)	Prec@5 77.344 (75.746)
Epoch: [57][10500/14090]	Time 0.757 (0.750)	Data 0.001 (0.001)	Loss 2.1559 (2.1670)	Prec@1 42.969 (45.192)	Prec@5 74.219 (75.747)
Epoch: [57][10510/14090]	Time 0.740 (0.750)	Data 0.001 (0.001)	Loss 2.2044 (2.1671)	Prec@1 48.438 (45.191)	Prec@5 78.125 (75.746)
Epoch: [57][10520/14090]	Time 0.751 (0.750)	Data 0.001 (0.001)	Loss 2.3477 (2.1671)	Prec@1 37.500 (45.190)	Prec@5 71.094 (75.746)
Epoch: [57][10530/14090]	Time 0.736 (0.750)	Data 0.001 (0.001)	Loss 2.1557 (2.1671)	Prec@1 46.094 (45.190)	Prec@5 71.875 (75.745)
Epoch: [57][10540/14090]	Time 0.732 (0.750)	Data 0.001 (0.001)	Loss 2.5516 (2.1671)	Prec@1 38.281 (45.190)	Prec@5 67.969 (75.745)
Epoch: [57][10550/14090]	Time 0.727 (0.750)	Data 0.002 (0.001)	Loss 2.1991 (2.1672)	Prec@1 42.969 (45.188)	Prec@5 76.562 (75.742)
Epoch: [57][10560/14090]	Time 0.756 (0.750)	Data 0.001 (0.001)	Loss 2.1062 (2.1672)	Prec@1 49.219 (45.189)	Prec@5 75.000 (75.744)
Epoch: [57][10570/14090]	Time 0.751 (0.750)	Data 0.001 (0.001)	Loss 2.0457 (2.1672)	Prec@1 49.219 (45.188)	Prec@5 80.469 (75.744)
Epoch: [57][10580/14090]	Time 0.754 (0.750)	Data 0.001 (0.001)	Loss 2.1496 (2.1671)	Prec@1 44.531 (45.190)	Prec@5 71.875 (75.744)
Epoch: [57][10590/14090]	Time 0.779 (0.750)	Data 0.001 (0.001)	Loss 1.9116 (2.1672)	Prec@1 53.906 (45.188)	Prec@5 80.469 (75.743)
Epoch: [57][10600/14090]	Time 0.744 (0.750)	Data 0.001 (0.001)	Loss 2.0479 (2.1672)	Prec@1 46.875 (45.187)	Prec@5 78.125 (75.743)
Epoch: [57][10610/14090]	Time 0.748 (0.750)	Data 0.001 (0.001)	Loss 1.9912 (2.1671)	Prec@1 53.125 (45.188)	Prec@5 77.344 (75.746)
Epoch: [57][10620/14090]	Time 0.741 (0.750)	Data 0.002 (0.001)	Loss 2.0602 (2.1671)	Prec@1 47.656 (45.191)	Prec@5 78.125 (75.746)
Epoch: [57][10630/14090]	Time 0.741 (0.750)	Data 0.001 (0.001)	Loss 2.2826 (2.1671)	Prec@1 43.750 (45.190)	Prec@5 78.125 (75.747)
Epoch: [57][10640/14090]	Time 0.769 (0.750)	Data 0.001 (0.001)	Loss 1.9945 (2.1671)	Prec@1 48.438 (45.190)	Prec@5 78.125 (75.747)
Epoch: [57][10650/14090]	Time 0.749 (0.750)	Data 0.001 (0.001)	Loss 2.1422 (2.1671)	Prec@1 47.656 (45.191)	Prec@5 75.000 (75.748)
Epoch: [57][10660/14090]	Time 0.771 (0.750)	Data 0.001 (0.001)	Loss 1.8611 (2.1670)	Prec@1 51.562 (45.191)	Prec@5 79.688 (75.749)
Epoch: [57][10670/14090]	Time 0.741 (0.750)	Data 0.001 (0.001)	Loss 2.3522 (2.1671)	Prec@1 42.969 (45.190)	Prec@5 73.438 (75.747)
Epoch: [57][10680/14090]	Time 0.723 (0.750)	Data 0.001 (0.001)	Loss 2.5727 (2.1672)	Prec@1 42.188 (45.189)	Prec@5 68.750 (75.746)
Epoch: [57][10690/14090]	Time 0.732 (0.750)	Data 0.002 (0.001)	Loss 2.0836 (2.1671)	Prec@1 49.219 (45.190)	Prec@5 82.812 (75.747)
Epoch: [57][10700/14090]	Time 0.761 (0.750)	Data 0.001 (0.001)	Loss 2.2113 (2.1672)	Prec@1 46.875 (45.189)	Prec@5 75.781 (75.748)
Epoch: [57][10710/14090]	Time 0.750 (0.750)	Data 0.001 (0.001)	Loss 1.9754 (2.1672)	Prec@1 50.781 (45.187)	Prec@5 78.125 (75.747)
Epoch: [57][10720/14090]	Time 0.764 (0.750)	Data 0.001 (0.001)	Loss 2.1966 (2.1672)	Prec@1 46.094 (45.187)	Prec@5 73.438 (75.747)
Epoch: [57][10730/14090]	Time 0.751 (0.750)	Data 0.001 (0.001)	Loss 2.0086 (2.1672)	Prec@1 45.312 (45.187)	Prec@5 82.031 (75.747)
Epoch: [57][10740/14090]	Time 0.753 (0.750)	Data 0.001 (0.001)	Loss 2.3381 (2.1672)	Prec@1 41.406 (45.187)	Prec@5 71.875 (75.747)
Epoch: [57][10750/14090]	Time 0.729 (0.750)	Data 0.001 (0.001)	Loss 2.0490 (2.1673)	Prec@1 46.094 (45.185)	Prec@5 78.906 (75.745)
Epoch: [57][10760/14090]	Time 0.749 (0.750)	Data 0.002 (0.001)	Loss 1.8339 (2.1673)	Prec@1 57.031 (45.186)	Prec@5 82.031 (75.746)
Epoch: [57][10770/14090]	Time 0.759 (0.750)	Data 0.001 (0.001)	Loss 2.0916 (2.1673)	Prec@1 43.750 (45.187)	Prec@5 83.594 (75.748)
Epoch: [57][10780/14090]	Time 0.751 (0.750)	Data 0.001 (0.001)	Loss 2.0749 (2.1673)	Prec@1 48.438 (45.186)	Prec@5 77.344 (75.748)
Epoch: [57][10790/14090]	Time 0.753 (0.750)	Data 0.001 (0.001)	Loss 2.2731 (2.1673)	Prec@1 42.969 (45.188)	Prec@5 74.219 (75.747)
Epoch: [57][10800/14090]	Time 0.725 (0.750)	Data 0.001 (0.001)	Loss 2.4557 (2.1673)	Prec@1 39.062 (45.187)	Prec@5 71.875 (75.747)
Epoch: [57][10810/14090]	Time 0.780 (0.750)	Data 0.001 (0.001)	Loss 2.0914 (2.1673)	Prec@1 42.188 (45.188)	Prec@5 75.000 (75.747)
Epoch: [57][10820/14090]	Time 0.752 (0.750)	Data 0.001 (0.001)	Loss 2.0977 (2.1673)	Prec@1 42.969 (45.186)	Prec@5 76.562 (75.747)
Epoch: [57][10830/14090]	Time 0.734 (0.750)	Data 0.002 (0.001)	Loss 2.1458 (2.1674)	Prec@1 47.656 (45.185)	Prec@5 75.000 (75.745)
Epoch: [57][10840/14090]	Time 0.745 (0.750)	Data 0.001 (0.001)	Loss 2.1672 (2.1674)	Prec@1 46.875 (45.184)	Prec@5 78.906 (75.744)
Epoch: [57][10850/14090]	Time 0.734 (0.750)	Data 0.001 (0.001)	Loss 2.3507 (2.1675)	Prec@1 46.875 (45.181)	Prec@5 72.656 (75.742)
Epoch: [57][10860/14090]	Time 0.765 (0.750)	Data 0.001 (0.001)	Loss 2.1091 (2.1676)	Prec@1 45.312 (45.179)	Prec@5 75.000 (75.742)
Epoch: [57][10870/14090]	Time 0.747 (0.750)	Data 0.001 (0.001)	Loss 1.8892 (2.1676)	Prec@1 50.000 (45.179)	Prec@5 82.812 (75.742)
Epoch: [57][10880/14090]	Time 0.751 (0.750)	Data 0.001 (0.001)	Loss 2.0384 (2.1675)	Prec@1 50.000 (45.181)	Prec@5 78.125 (75.745)
Epoch: [57][10890/14090]	Time 0.755 (0.750)	Data 0.001 (0.001)	Loss 2.1206 (2.1676)	Prec@1 45.312 (45.181)	Prec@5 75.000 (75.743)
Epoch: [57][10900/14090]	Time 0.757 (0.750)	Data 0.002 (0.001)	Loss 2.1234 (2.1676)	Prec@1 47.656 (45.180)	Prec@5 77.344 (75.743)
Epoch: [57][10910/14090]	Time 0.760 (0.750)	Data 0.001 (0.001)	Loss 2.0653 (2.1675)	Prec@1 50.781 (45.182)	Prec@5 78.125 (75.744)
Epoch: [57][10920/14090]	Time 0.746 (0.750)	Data 0.001 (0.001)	Loss 2.1210 (2.1675)	Prec@1 41.406 (45.182)	Prec@5 80.469 (75.744)
Epoch: [57][10930/14090]	Time 0.753 (0.750)	Data 0.001 (0.001)	Loss 1.9607 (2.1674)	Prec@1 48.438 (45.183)	Prec@5 76.562 (75.746)
Epoch: [57][10940/14090]	Time 0.744 (0.750)	Data 0.001 (0.001)	Loss 2.5483 (2.1675)	Prec@1 32.812 (45.181)	Prec@5 67.188 (75.745)
Epoch: [57][10950/14090]	Time 0.755 (0.750)	Data 0.001 (0.001)	Loss 2.1393 (2.1676)	Prec@1 46.094 (45.179)	Prec@5 75.000 (75.744)
Epoch: [57][10960/14090]	Time 0.751 (0.750)	Data 0.001 (0.001)	Loss 2.1564 (2.1675)	Prec@1 47.656 (45.180)	Prec@5 77.344 (75.744)
Epoch: [57][10970/14090]	Time 0.764 (0.750)	Data 0.002 (0.001)	Loss 1.9990 (2.1675)	Prec@1 50.781 (45.180)	Prec@5 79.688 (75.746)
Epoch: [57][10980/14090]	Time 0.784 (0.750)	Data 0.001 (0.001)	Loss 2.3141 (2.1676)	Prec@1 43.750 (45.180)	Prec@5 73.438 (75.745)
Epoch: [57][10990/14090]	Time 0.733 (0.750)	Data 0.001 (0.001)	Loss 2.1578 (2.1676)	Prec@1 43.750 (45.179)	Prec@5 73.438 (75.744)
Epoch: [57][11000/14090]	Time 0.762 (0.750)	Data 0.001 (0.001)	Loss 2.0680 (2.1676)	Prec@1 48.438 (45.180)	Prec@5 77.344 (75.744)
Epoch: [57][11010/14090]	Time 0.728 (0.750)	Data 0.001 (0.001)	Loss 2.0379 (2.1676)	Prec@1 46.094 (45.180)	Prec@5 78.906 (75.745)
Epoch: [57][11020/14090]	Time 0.753 (0.750)	Data 0.001 (0.001)	Loss 2.2019 (2.1676)	Prec@1 46.094 (45.180)	Prec@5 76.562 (75.746)
Epoch: [57][11030/14090]	Time 0.749 (0.750)	Data 0.001 (0.001)	Loss 2.0624 (2.1676)	Prec@1 43.750 (45.180)	Prec@5 75.781 (75.746)
Epoch: [57][11040/14090]	Time 0.770 (0.750)	Data 0.002 (0.001)	Loss 2.2815 (2.1676)	Prec@1 40.625 (45.180)	Prec@5 68.750 (75.746)
Epoch: [57][11050/14090]	Time 0.763 (0.750)	Data 0.001 (0.001)	Loss 2.3028 (2.1676)	Prec@1 42.188 (45.181)	Prec@5 75.781 (75.745)
Epoch: [57][11060/14090]	Time 0.760 (0.750)	Data 0.001 (0.001)	Loss 2.0184 (2.1676)	Prec@1 48.438 (45.180)	Prec@5 85.156 (75.745)
Epoch: [57][11070/14090]	Time 0.765 (0.750)	Data 0.001 (0.001)	Loss 2.2818 (2.1677)	Prec@1 46.875 (45.181)	Prec@5 72.656 (75.744)
Epoch: [57][11080/14090]	Time 0.761 (0.750)	Data 0.001 (0.001)	Loss 2.2241 (2.1677)	Prec@1 41.406 (45.180)	Prec@5 76.562 (75.744)
Epoch: [57][11090/14090]	Time 0.772 (0.750)	Data 0.001 (0.001)	Loss 2.0436 (2.1678)	Prec@1 46.875 (45.181)	Prec@5 78.906 (75.743)
Epoch: [57][11100/14090]	Time 0.744 (0.750)	Data 0.001 (0.001)	Loss 2.3130 (2.1678)	Prec@1 46.875 (45.180)	Prec@5 70.312 (75.745)
Epoch: [57][11110/14090]	Time 0.747 (0.750)	Data 0.002 (0.001)	Loss 2.1209 (2.1679)	Prec@1 49.219 (45.177)	Prec@5 75.781 (75.743)
Epoch: [57][11120/14090]	Time 0.742 (0.750)	Data 0.001 (0.001)	Loss 2.1337 (2.1680)	Prec@1 43.750 (45.175)	Prec@5 72.656 (75.741)
Epoch: [57][11130/14090]	Time 0.735 (0.750)	Data 0.001 (0.001)	Loss 2.2224 (2.1680)	Prec@1 45.312 (45.174)	Prec@5 75.781 (75.741)
Epoch: [57][11140/14090]	Time 0.733 (0.750)	Data 0.001 (0.001)	Loss 2.3947 (2.1680)	Prec@1 41.406 (45.173)	Prec@5 73.438 (75.740)
Epoch: [57][11150/14090]	Time 0.734 (0.750)	Data 0.001 (0.001)	Loss 2.1590 (2.1679)	Prec@1 48.438 (45.175)	Prec@5 72.656 (75.741)
Epoch: [57][11160/14090]	Time 0.756 (0.750)	Data 0.001 (0.001)	Loss 1.9957 (2.1680)	Prec@1 45.312 (45.172)	Prec@5 75.781 (75.739)
Epoch: [57][11170/14090]	Time 0.754 (0.750)	Data 0.001 (0.001)	Loss 1.9714 (2.1681)	Prec@1 49.219 (45.172)	Prec@5 78.906 (75.739)
Epoch: [57][11180/14090]	Time 0.756 (0.750)	Data 0.002 (0.001)	Loss 2.0829 (2.1681)	Prec@1 44.531 (45.171)	Prec@5 75.000 (75.739)
Epoch: [57][11190/14090]	Time 0.748 (0.750)	Data 0.001 (0.001)	Loss 2.1366 (2.1680)	Prec@1 40.625 (45.172)	Prec@5 78.125 (75.740)
Epoch: [57][11200/14090]	Time 0.748 (0.750)	Data 0.001 (0.001)	Loss 1.9005 (2.1680)	Prec@1 51.562 (45.172)	Prec@5 79.688 (75.741)
Epoch: [57][11210/14090]	Time 0.761 (0.750)	Data 0.001 (0.001)	Loss 2.1228 (2.1680)	Prec@1 43.750 (45.173)	Prec@5 75.000 (75.741)
Epoch: [57][11220/14090]	Time 0.747 (0.750)	Data 0.001 (0.001)	Loss 2.0298 (2.1680)	Prec@1 46.094 (45.174)	Prec@5 80.469 (75.742)
Epoch: [57][11230/14090]	Time 0.738 (0.750)	Data 0.001 (0.001)	Loss 2.2586 (2.1680)	Prec@1 43.750 (45.174)	Prec@5 71.875 (75.741)
Epoch: [57][11240/14090]	Time 0.739 (0.750)	Data 0.001 (0.001)	Loss 2.0576 (2.1680)	Prec@1 53.906 (45.174)	Prec@5 78.125 (75.741)
Epoch: [57][11250/14090]	Time 0.759 (0.750)	Data 0.002 (0.001)	Loss 2.0872 (2.1680)	Prec@1 45.312 (45.175)	Prec@5 75.781 (75.741)
Epoch: [57][11260/14090]	Time 0.752 (0.750)	Data 0.001 (0.001)	Loss 2.1555 (2.1680)	Prec@1 45.312 (45.175)	Prec@5 75.000 (75.741)
Epoch: [57][11270/14090]	Time 0.752 (0.750)	Data 0.001 (0.001)	Loss 2.0608 (2.1680)	Prec@1 43.750 (45.173)	Prec@5 75.781 (75.740)
Epoch: [57][11280/14090]	Time 0.765 (0.750)	Data 0.001 (0.001)	Loss 2.4235 (2.1680)	Prec@1 38.281 (45.170)	Prec@5 69.531 (75.740)
Epoch: [57][11290/14090]	Time 0.738 (0.750)	Data 0.001 (0.001)	Loss 2.3088 (2.1680)	Prec@1 42.188 (45.171)	Prec@5 70.312 (75.740)
Epoch: [57][11300/14090]	Time 0.761 (0.750)	Data 0.001 (0.001)	Loss 1.9843 (2.1680)	Prec@1 49.219 (45.170)	Prec@5 80.469 (75.738)
Epoch: [57][11310/14090]	Time 0.751 (0.750)	Data 0.001 (0.001)	Loss 1.9463 (2.1680)	Prec@1 47.656 (45.170)	Prec@5 83.594 (75.737)
Epoch: [57][11320/14090]	Time 0.758 (0.750)	Data 0.002 (0.001)	Loss 2.2543 (2.1681)	Prec@1 37.500 (45.168)	Prec@5 75.000 (75.737)
Epoch: [57][11330/14090]	Time 0.759 (0.750)	Data 0.001 (0.001)	Loss 2.3707 (2.1681)	Prec@1 35.938 (45.166)	Prec@5 67.969 (75.736)
Epoch: [57][11340/14090]	Time 0.726 (0.750)	Data 0.001 (0.001)	Loss 2.3855 (2.1681)	Prec@1 43.750 (45.165)	Prec@5 67.188 (75.736)
Epoch: [57][11350/14090]	Time 0.762 (0.750)	Data 0.001 (0.001)	Loss 2.0525 (2.1681)	Prec@1 42.969 (45.164)	Prec@5 78.125 (75.735)
Epoch: [57][11360/14090]	Time 0.749 (0.750)	Data 0.001 (0.001)	Loss 2.5825 (2.1681)	Prec@1 39.844 (45.165)	Prec@5 64.844 (75.734)
Epoch: [57][11370/14090]	Time 0.754 (0.750)	Data 0.001 (0.001)	Loss 2.1826 (2.1681)	Prec@1 39.062 (45.165)	Prec@5 78.906 (75.734)
Epoch: [57][11380/14090]	Time 0.750 (0.750)	Data 0.001 (0.001)	Loss 2.0723 (2.1682)	Prec@1 48.438 (45.163)	Prec@5 78.906 (75.733)
Epoch: [57][11390/14090]	Time 0.726 (0.750)	Data 0.002 (0.001)	Loss 2.2216 (2.1683)	Prec@1 44.531 (45.162)	Prec@5 80.469 (75.734)
Epoch: [57][11400/14090]	Time 0.735 (0.750)	Data 0.001 (0.001)	Loss 2.2393 (2.1683)	Prec@1 44.531 (45.161)	Prec@5 74.219 (75.733)
Epoch: [57][11410/14090]	Time 0.742 (0.750)	Data 0.001 (0.001)	Loss 2.2467 (2.1684)	Prec@1 42.188 (45.160)	Prec@5 76.562 (75.732)
Epoch: [57][11420/14090]	Time 0.766 (0.750)	Data 0.001 (0.001)	Loss 2.2597 (2.1683)	Prec@1 42.969 (45.160)	Prec@5 75.000 (75.732)
Epoch: [57][11430/14090]	Time 0.740 (0.750)	Data 0.001 (0.001)	Loss 2.2633 (2.1683)	Prec@1 44.531 (45.160)	Prec@5 74.219 (75.733)
Epoch: [57][11440/14090]	Time 0.746 (0.750)	Data 0.001 (0.001)	Loss 2.0678 (2.1683)	Prec@1 46.094 (45.160)	Prec@5 77.344 (75.734)
Epoch: [57][11450/14090]	Time 0.738 (0.750)	Data 0.001 (0.001)	Loss 1.9989 (2.1683)	Prec@1 45.312 (45.159)	Prec@5 79.688 (75.735)
Epoch: [57][11460/14090]	Time 0.762 (0.750)	Data 0.002 (0.001)	Loss 1.9806 (2.1682)	Prec@1 50.781 (45.160)	Prec@5 75.781 (75.736)
Epoch: [57][11470/14090]	Time 0.759 (0.750)	Data 0.001 (0.001)	Loss 2.2127 (2.1683)	Prec@1 49.219 (45.159)	Prec@5 75.781 (75.735)
Epoch: [57][11480/14090]	Time 0.754 (0.750)	Data 0.001 (0.001)	Loss 2.1572 (2.1682)	Prec@1 50.000 (45.159)	Prec@5 75.000 (75.734)
Epoch: [57][11490/14090]	Time 0.754 (0.750)	Data 0.001 (0.001)	Loss 2.0510 (2.1682)	Prec@1 49.219 (45.159)	Prec@5 74.219 (75.735)
Epoch: [57][11500/14090]	Time 0.764 (0.750)	Data 0.001 (0.001)	Loss 2.1282 (2.1682)	Prec@1 48.438 (45.161)	Prec@5 78.906 (75.736)
Epoch: [57][11510/14090]	Time 0.737 (0.750)	Data 0.001 (0.001)	Loss 2.4042 (2.1681)	Prec@1 46.875 (45.163)	Prec@5 71.875 (75.738)
Epoch: [57][11520/14090]	Time 0.730 (0.750)	Data 0.001 (0.001)	Loss 2.1250 (2.1680)	Prec@1 50.000 (45.166)	Prec@5 78.906 (75.739)
Epoch: [57][11530/14090]	Time 0.755 (0.750)	Data 0.002 (0.001)	Loss 2.2102 (2.1680)	Prec@1 41.406 (45.167)	Prec@5 78.906 (75.740)
Epoch: [57][11540/14090]	Time 0.755 (0.750)	Data 0.001 (0.001)	Loss 2.2966 (2.1680)	Prec@1 49.219 (45.167)	Prec@5 71.094 (75.738)
Epoch: [57][11550/14090]	Time 0.752 (0.750)	Data 0.001 (0.001)	Loss 2.2513 (2.1680)	Prec@1 42.969 (45.168)	Prec@5 71.875 (75.739)
Epoch: [57][11560/14090]	Time 0.726 (0.750)	Data 0.001 (0.001)	Loss 2.1877 (2.1680)	Prec@1 42.188 (45.167)	Prec@5 72.656 (75.737)
Epoch: [57][11570/14090]	Time 0.752 (0.750)	Data 0.001 (0.001)	Loss 2.3688 (2.1680)	Prec@1 41.406 (45.168)	Prec@5 70.312 (75.738)
Epoch: [57][11580/14090]	Time 0.767 (0.750)	Data 0.001 (0.001)	Loss 2.1151 (2.1680)	Prec@1 47.656 (45.168)	Prec@5 79.688 (75.739)
Epoch: [57][11590/14090]	Time 0.749 (0.750)	Data 0.001 (0.001)	Loss 2.0927 (2.1681)	Prec@1 49.219 (45.166)	Prec@5 78.125 (75.739)
Epoch: [57][11600/14090]	Time 0.762 (0.750)	Data 0.002 (0.001)	Loss 2.2678 (2.1680)	Prec@1 45.312 (45.166)	Prec@5 72.656 (75.740)
Epoch: [57][11610/14090]	Time 0.766 (0.750)	Data 0.001 (0.001)	Loss 2.1986 (2.1680)	Prec@1 39.062 (45.166)	Prec@5 75.781 (75.741)
Epoch: [57][11620/14090]	Time 0.737 (0.750)	Data 0.001 (0.001)	Loss 2.2259 (2.1681)	Prec@1 39.844 (45.165)	Prec@5 71.875 (75.739)
Epoch: [57][11630/14090]	Time 0.743 (0.750)	Data 0.001 (0.001)	Loss 2.2620 (2.1681)	Prec@1 36.719 (45.164)	Prec@5 71.875 (75.739)
Epoch: [57][11640/14090]	Time 0.737 (0.750)	Data 0.001 (0.001)	Loss 2.2290 (2.1681)	Prec@1 45.312 (45.165)	Prec@5 75.781 (75.739)
Epoch: [57][11650/14090]	Time 0.734 (0.750)	Data 0.001 (0.001)	Loss 2.2004 (2.1680)	Prec@1 43.750 (45.165)	Prec@5 75.000 (75.740)
Epoch: [57][11660/14090]	Time 0.739 (0.750)	Data 0.002 (0.001)	Loss 1.9979 (2.1681)	Prec@1 46.094 (45.165)	Prec@5 76.562 (75.740)
Epoch: [57][11670/14090]	Time 0.751 (0.750)	Data 0.002 (0.001)	Loss 2.4931 (2.1680)	Prec@1 40.625 (45.168)	Prec@5 70.312 (75.741)
Epoch: [57][11680/14090]	Time 0.751 (0.750)	Data 0.001 (0.001)	Loss 1.8991 (2.1680)	Prec@1 50.781 (45.169)	Prec@5 82.812 (75.743)
Epoch: [57][11690/14090]	Time 0.742 (0.750)	Data 0.001 (0.001)	Loss 2.0467 (2.1680)	Prec@1 55.469 (45.169)	Prec@5 75.781 (75.742)
Epoch: [57][11700/14090]	Time 0.738 (0.750)	Data 0.001 (0.001)	Loss 2.0843 (2.1680)	Prec@1 46.875 (45.169)	Prec@5 79.688 (75.742)
Epoch: [57][11710/14090]	Time 0.752 (0.750)	Data 0.001 (0.001)	Loss 2.3641 (2.1680)	Prec@1 42.969 (45.171)	Prec@5 71.875 (75.742)
Epoch: [57][11720/14090]	Time 0.764 (0.750)	Data 0.001 (0.001)	Loss 1.8745 (2.1680)	Prec@1 52.344 (45.171)	Prec@5 82.812 (75.742)
Epoch: [57][11730/14090]	Time 0.728 (0.750)	Data 0.001 (0.001)	Loss 1.9057 (2.1679)	Prec@1 51.562 (45.172)	Prec@5 79.688 (75.742)
Epoch: [57][11740/14090]	Time 0.745 (0.750)	Data 0.002 (0.001)	Loss 1.9147 (2.1680)	Prec@1 48.438 (45.172)	Prec@5 82.812 (75.741)
Epoch: [57][11750/14090]	Time 0.740 (0.750)	Data 0.001 (0.001)	Loss 1.9701 (2.1680)	Prec@1 49.219 (45.171)	Prec@5 78.125 (75.741)
Epoch: [57][11760/14090]	Time 0.760 (0.750)	Data 0.001 (0.001)	Loss 2.2334 (2.1680)	Prec@1 42.188 (45.170)	Prec@5 75.781 (75.741)
Epoch: [57][11770/14090]	Time 0.721 (0.750)	Data 0.001 (0.001)	Loss 2.0007 (2.1680)	Prec@1 45.312 (45.172)	Prec@5 79.688 (75.742)
Epoch: [57][11780/14090]	Time 0.756 (0.750)	Data 0.001 (0.001)	Loss 2.3991 (2.1680)	Prec@1 39.844 (45.172)	Prec@5 70.312 (75.740)
Epoch: [57][11790/14090]	Time 0.745 (0.750)	Data 0.001 (0.001)	Loss 2.1075 (2.1680)	Prec@1 43.750 (45.171)	Prec@5 76.562 (75.740)
Epoch: [57][11800/14090]	Time 0.763 (0.750)	Data 0.001 (0.001)	Loss 1.9202 (2.1680)	Prec@1 52.344 (45.171)	Prec@5 82.031 (75.741)
Epoch: [57][11810/14090]	Time 0.743 (0.750)	Data 0.002 (0.001)	Loss 2.3902 (2.1680)	Prec@1 39.844 (45.172)	Prec@5 76.562 (75.741)
Epoch: [57][11820/14090]	Time 0.749 (0.750)	Data 0.001 (0.001)	Loss 2.1991 (2.1680)	Prec@1 48.438 (45.173)	Prec@5 77.344 (75.741)
Epoch: [57][11830/14090]	Time 0.778 (0.750)	Data 0.001 (0.001)	Loss 2.0337 (2.1680)	Prec@1 47.656 (45.172)	Prec@5 74.219 (75.741)
Epoch: [57][11840/14090]	Time 0.752 (0.750)	Data 0.001 (0.001)	Loss 2.2015 (2.1680)	Prec@1 39.844 (45.172)	Prec@5 75.781 (75.742)
Epoch: [57][11850/14090]	Time 0.742 (0.750)	Data 0.001 (0.001)	Loss 2.2199 (2.1681)	Prec@1 46.094 (45.173)	Prec@5 76.562 (75.742)
Epoch: [57][11860/14090]	Time 0.770 (0.750)	Data 0.001 (0.001)	Loss 2.2201 (2.1681)	Prec@1 46.875 (45.173)	Prec@5 73.438 (75.742)
Epoch: [57][11870/14090]	Time 0.734 (0.750)	Data 0.001 (0.001)	Loss 2.0492 (2.1681)	Prec@1 45.312 (45.172)	Prec@5 78.906 (75.741)
Epoch: [57][11880/14090]	Time 0.730 (0.750)	Data 0.001 (0.001)	Loss 2.0239 (2.1681)	Prec@1 50.000 (45.173)	Prec@5 77.344 (75.742)
Epoch: [57][11890/14090]	Time 0.758 (0.750)	Data 0.001 (0.001)	Loss 2.0224 (2.1681)	Prec@1 41.406 (45.173)	Prec@5 77.344 (75.742)
Epoch: [57][11900/14090]	Time 0.749 (0.750)	Data 0.001 (0.001)	Loss 2.2578 (2.1680)	Prec@1 42.969 (45.174)	Prec@5 74.219 (75.742)
Epoch: [57][11910/14090]	Time 0.751 (0.750)	Data 0.001 (0.001)	Loss 2.1788 (2.1680)	Prec@1 46.875 (45.174)	Prec@5 75.781 (75.741)
Epoch: [57][11920/14090]	Time 0.738 (0.750)	Data 0.001 (0.001)	Loss 2.3373 (2.1680)	Prec@1 44.531 (45.173)	Prec@5 72.656 (75.742)
Epoch: [57][11930/14090]	Time 0.768 (0.750)	Data 0.001 (0.001)	Loss 2.4382 (2.1681)	Prec@1 42.188 (45.174)	Prec@5 64.844 (75.741)
Epoch: [57][11940/14090]	Time 0.740 (0.750)	Data 0.001 (0.001)	Loss 1.9270 (2.1680)	Prec@1 50.000 (45.173)	Prec@5 77.344 (75.741)
Epoch: [57][11950/14090]	Time 0.758 (0.750)	Data 0.002 (0.001)	Loss 2.2408 (2.1681)	Prec@1 49.219 (45.173)	Prec@5 71.875 (75.741)
Epoch: [57][11960/14090]	Time 0.767 (0.750)	Data 0.001 (0.001)	Loss 2.2184 (2.1681)	Prec@1 43.750 (45.171)	Prec@5 74.219 (75.742)
Epoch: [57][11970/14090]	Time 0.732 (0.750)	Data 0.001 (0.001)	Loss 2.0141 (2.1680)	Prec@1 47.656 (45.172)	Prec@5 80.469 (75.743)
Epoch: [57][11980/14090]	Time 0.745 (0.750)	Data 0.001 (0.001)	Loss 2.2063 (2.1680)	Prec@1 45.312 (45.173)	Prec@5 77.344 (75.743)
Epoch: [57][11990/14090]	Time 0.746 (0.750)	Data 0.001 (0.001)	Loss 2.1300 (2.1680)	Prec@1 42.188 (45.172)	Prec@5 75.781 (75.742)
Epoch: [57][12000/14090]	Time 0.764 (0.750)	Data 0.001 (0.001)	Loss 2.1292 (2.1680)	Prec@1 48.438 (45.173)	Prec@5 79.688 (75.743)
Epoch: [57][12010/14090]	Time 0.760 (0.750)	Data 0.001 (0.001)	Loss 2.1442 (2.1681)	Prec@1 38.281 (45.173)	Prec@5 77.344 (75.741)
Epoch: [57][12020/14090]	Time 0.750 (0.750)	Data 0.002 (0.001)	Loss 2.2465 (2.1681)	Prec@1 45.312 (45.173)	Prec@5 78.906 (75.742)
Epoch: [57][12030/14090]	Time 0.757 (0.750)	Data 0.001 (0.001)	Loss 2.2173 (2.1680)	Prec@1 48.438 (45.177)	Prec@5 79.688 (75.743)
Epoch: [57][12040/14090]	Time 0.748 (0.750)	Data 0.001 (0.001)	Loss 1.9080 (2.1679)	Prec@1 47.656 (45.178)	Prec@5 79.688 (75.744)
Epoch: [57][12050/14090]	Time 0.756 (0.750)	Data 0.001 (0.001)	Loss 2.3458 (2.1680)	Prec@1 43.750 (45.177)	Prec@5 71.875 (75.742)
Epoch: [57][12060/14090]	Time 0.749 (0.750)	Data 0.001 (0.001)	Loss 2.3067 (2.1681)	Prec@1 37.500 (45.175)	Prec@5 74.219 (75.741)
Epoch: [57][12070/14090]	Time 0.753 (0.750)	Data 0.001 (0.001)	Loss 2.0990 (2.1681)	Prec@1 42.188 (45.173)	Prec@5 79.688 (75.740)
Epoch: [57][12080/14090]	Time 0.726 (0.750)	Data 0.001 (0.001)	Loss 2.1721 (2.1681)	Prec@1 46.094 (45.172)	Prec@5 77.344 (75.740)
Epoch: [57][12090/14090]	Time 0.740 (0.750)	Data 0.002 (0.001)	Loss 2.0096 (2.1682)	Prec@1 52.344 (45.171)	Prec@5 81.250 (75.740)
Epoch: [57][12100/14090]	Time 0.728 (0.750)	Data 0.001 (0.001)	Loss 2.1381 (2.1682)	Prec@1 47.656 (45.172)	Prec@5 75.000 (75.740)
Epoch: [57][12110/14090]	Time 0.747 (0.750)	Data 0.001 (0.001)	Loss 2.3345 (2.1682)	Prec@1 42.188 (45.171)	Prec@5 75.000 (75.739)
Epoch: [57][12120/14090]	Time 0.745 (0.750)	Data 0.001 (0.001)	Loss 2.0326 (2.1681)	Prec@1 46.875 (45.171)	Prec@5 75.781 (75.740)
Epoch: [57][12130/14090]	Time 0.748 (0.750)	Data 0.001 (0.001)	Loss 2.2550 (2.1681)	Prec@1 42.969 (45.171)	Prec@5 72.656 (75.741)
Epoch: [57][12140/14090]	Time 0.763 (0.750)	Data 0.001 (0.001)	Loss 2.1685 (2.1681)	Prec@1 40.625 (45.172)	Prec@5 77.344 (75.740)
Epoch: [57][12150/14090]	Time 0.771 (0.750)	Data 0.001 (0.001)	Loss 2.2620 (2.1681)	Prec@1 46.094 (45.170)	Prec@5 76.562 (75.740)
Epoch: [57][12160/14090]	Time 0.749 (0.750)	Data 0.002 (0.001)	Loss 2.3303 (2.1681)	Prec@1 39.062 (45.171)	Prec@5 75.000 (75.739)
Epoch: [57][12170/14090]	Time 0.723 (0.750)	Data 0.001 (0.001)	Loss 1.9053 (2.1681)	Prec@1 51.562 (45.173)	Prec@5 78.906 (75.741)
Epoch: [57][12180/14090]	Time 0.736 (0.750)	Data 0.001 (0.001)	Loss 2.1613 (2.1681)	Prec@1 46.094 (45.173)	Prec@5 76.562 (75.743)
Epoch: [57][12190/14090]	Time 0.743 (0.750)	Data 0.001 (0.001)	Loss 2.1520 (2.1681)	Prec@1 49.219 (45.172)	Prec@5 73.438 (75.741)
Epoch: [57][12200/14090]	Time 0.764 (0.750)	Data 0.001 (0.001)	Loss 2.3274 (2.1682)	Prec@1 42.188 (45.171)	Prec@5 73.438 (75.740)
Epoch: [57][12210/14090]	Time 0.740 (0.750)	Data 0.001 (0.001)	Loss 2.1713 (2.1682)	Prec@1 46.094 (45.171)	Prec@5 73.438 (75.741)
Epoch: [57][12220/14090]	Time 0.731 (0.750)	Data 0.001 (0.001)	Loss 1.9017 (2.1681)	Prec@1 48.438 (45.172)	Prec@5 82.031 (75.741)
Epoch: [57][12230/14090]	Time 0.735 (0.750)	Data 0.001 (0.001)	Loss 2.0618 (2.1681)	Prec@1 46.094 (45.172)	Prec@5 77.344 (75.742)
Epoch: [57][12240/14090]	Time 0.738 (0.750)	Data 0.001 (0.001)	Loss 1.9588 (2.1681)	Prec@1 47.656 (45.173)	Prec@5 82.812 (75.744)
Epoch: [57][12250/14090]	Time 0.757 (0.750)	Data 0.001 (0.001)	Loss 2.1580 (2.1680)	Prec@1 47.656 (45.174)	Prec@5 78.125 (75.745)
Epoch: [57][12260/14090]	Time 0.735 (0.750)	Data 0.001 (0.001)	Loss 2.2018 (2.1681)	Prec@1 41.406 (45.173)	Prec@5 73.438 (75.743)
Epoch: [57][12270/14090]	Time 0.755 (0.750)	Data 0.001 (0.001)	Loss 2.1339 (2.1682)	Prec@1 50.000 (45.173)	Prec@5 73.438 (75.741)
Epoch: [57][12280/14090]	Time 0.748 (0.750)	Data 0.001 (0.001)	Loss 2.0663 (2.1682)	Prec@1 44.531 (45.172)	Prec@5 80.469 (75.741)
Epoch: [57][12290/14090]	Time 0.736 (0.750)	Data 0.001 (0.001)	Loss 2.4372 (2.1682)	Prec@1 44.531 (45.171)	Prec@5 71.875 (75.743)
Epoch: [57][12300/14090]	Time 0.779 (0.750)	Data 0.002 (0.001)	Loss 2.1627 (2.1681)	Prec@1 42.188 (45.171)	Prec@5 74.219 (75.743)
Epoch: [57][12310/14090]	Time 0.758 (0.750)	Data 0.001 (0.001)	Loss 2.1495 (2.1682)	Prec@1 49.219 (45.171)	Prec@5 79.688 (75.743)
Epoch: [57][12320/14090]	Time 0.741 (0.750)	Data 0.001 (0.001)	Loss 2.3377 (2.1682)	Prec@1 38.281 (45.170)	Prec@5 74.219 (75.744)
Epoch: [57][12330/14090]	Time 0.741 (0.750)	Data 0.001 (0.001)	Loss 1.9939 (2.1682)	Prec@1 48.438 (45.170)	Prec@5 78.906 (75.744)
Epoch: [57][12340/14090]	Time 0.734 (0.750)	Data 0.001 (0.001)	Loss 2.0731 (2.1682)	Prec@1 41.406 (45.168)	Prec@5 76.562 (75.745)
Epoch: [57][12350/14090]	Time 0.734 (0.750)	Data 0.001 (0.001)	Loss 2.4129 (2.1682)	Prec@1 45.312 (45.168)	Prec@5 67.188 (75.744)
Epoch: [57][12360/14090]	Time 0.751 (0.750)	Data 0.001 (0.001)	Loss 2.1584 (2.1682)	Prec@1 39.844 (45.168)	Prec@5 75.781 (75.743)
Epoch: [57][12370/14090]	Time 0.777 (0.750)	Data 0.002 (0.001)	Loss 1.9451 (2.1681)	Prec@1 47.656 (45.169)	Prec@5 83.594 (75.743)
Epoch: [57][12380/14090]	Time 0.752 (0.750)	Data 0.001 (0.001)	Loss 1.7142 (2.1681)	Prec@1 49.219 (45.169)	Prec@5 85.156 (75.744)
Epoch: [57][12390/14090]	Time 0.755 (0.750)	Data 0.001 (0.001)	Loss 2.2271 (2.1681)	Prec@1 44.531 (45.169)	Prec@5 75.000 (75.744)
Epoch: [57][12400/14090]	Time 0.753 (0.750)	Data 0.001 (0.001)	Loss 2.0997 (2.1681)	Prec@1 48.438 (45.170)	Prec@5 78.125 (75.744)
Epoch: [57][12410/14090]	Time 0.755 (0.750)	Data 0.001 (0.001)	Loss 1.9710 (2.1682)	Prec@1 45.312 (45.168)	Prec@5 83.594 (75.744)
Epoch: [57][12420/14090]	Time 0.724 (0.750)	Data 0.001 (0.001)	Loss 2.3019 (2.1682)	Prec@1 39.062 (45.168)	Prec@5 71.875 (75.743)
Epoch: [57][12430/14090]	Time 0.727 (0.750)	Data 0.001 (0.001)	Loss 2.3333 (2.1682)	Prec@1 45.312 (45.169)	Prec@5 72.656 (75.744)
Epoch: [57][12440/14090]	Time 0.736 (0.750)	Data 0.002 (0.001)	Loss 2.0894 (2.1681)	Prec@1 45.312 (45.169)	Prec@5 75.781 (75.745)
Epoch: [57][12450/14090]	Time 0.736 (0.750)	Data 0.001 (0.001)	Loss 2.2082 (2.1681)	Prec@1 42.969 (45.170)	Prec@5 75.000 (75.746)
Epoch: [57][12460/14090]	Time 0.758 (0.750)	Data 0.001 (0.001)	Loss 2.1892 (2.1681)	Prec@1 45.312 (45.169)	Prec@5 72.656 (75.744)
Epoch: [57][12470/14090]	Time 0.740 (0.750)	Data 0.001 (0.001)	Loss 2.1888 (2.1681)	Prec@1 46.094 (45.168)	Prec@5 73.438 (75.744)
Epoch: [57][12480/14090]	Time 0.748 (0.750)	Data 0.001 (0.001)	Loss 2.6213 (2.1682)	Prec@1 40.625 (45.169)	Prec@5 66.406 (75.745)
Epoch: [57][12490/14090]	Time 0.746 (0.750)	Data 0.001 (0.001)	Loss 2.1724 (2.1681)	Prec@1 42.969 (45.170)	Prec@5 75.000 (75.745)
Epoch: [57][12500/14090]	Time 0.747 (0.750)	Data 0.001 (0.001)	Loss 2.1773 (2.1681)	Prec@1 41.406 (45.169)	Prec@5 75.781 (75.745)
Epoch: [57][12510/14090]	Time 0.773 (0.750)	Data 0.002 (0.001)	Loss 2.1503 (2.1682)	Prec@1 43.750 (45.169)	Prec@5 74.219 (75.745)
Epoch: [57][12520/14090]	Time 0.762 (0.750)	Data 0.001 (0.001)	Loss 2.3198 (2.1682)	Prec@1 42.969 (45.169)	Prec@5 71.094 (75.745)
Epoch: [57][12530/14090]	Time 0.747 (0.750)	Data 0.001 (0.001)	Loss 2.2804 (2.1682)	Prec@1 38.281 (45.169)	Prec@5 72.656 (75.745)
Epoch: [57][12540/14090]	Time 0.756 (0.750)	Data 0.001 (0.001)	Loss 2.2788 (2.1682)	Prec@1 41.406 (45.168)	Prec@5 75.000 (75.745)
Epoch: [57][12550/14090]	Time 0.745 (0.750)	Data 0.001 (0.001)	Loss 2.3715 (2.1682)	Prec@1 38.281 (45.168)	Prec@5 75.781 (75.746)
Epoch: [57][12560/14090]	Time 0.727 (0.750)	Data 0.001 (0.001)	Loss 1.8040 (2.1682)	Prec@1 46.875 (45.168)	Prec@5 80.469 (75.745)
Epoch: [57][12570/14090]	Time 0.758 (0.750)	Data 0.001 (0.001)	Loss 1.9639 (2.1682)	Prec@1 46.875 (45.167)	Prec@5 78.906 (75.744)
Epoch: [57][12580/14090]	Time 0.771 (0.750)	Data 0.002 (0.001)	Loss 2.2479 (2.1682)	Prec@1 42.188 (45.169)	Prec@5 72.656 (75.745)
Epoch: [57][12590/14090]	Time 0.761 (0.750)	Data 0.001 (0.001)	Loss 2.2847 (2.1682)	Prec@1 44.531 (45.168)	Prec@5 72.656 (75.745)
Epoch: [57][12600/14090]	Time 0.735 (0.750)	Data 0.001 (0.001)	Loss 2.0638 (2.1682)	Prec@1 44.531 (45.169)	Prec@5 78.906 (75.745)
Epoch: [57][12610/14090]	Time 0.733 (0.750)	Data 0.001 (0.001)	Loss 2.1504 (2.1682)	Prec@1 42.969 (45.168)	Prec@5 77.344 (75.743)
Epoch: [57][12620/14090]	Time 0.767 (0.750)	Data 0.001 (0.001)	Loss 2.4117 (2.1682)	Prec@1 39.844 (45.168)	Prec@5 69.531 (75.742)
Epoch: [57][12630/14090]	Time 0.739 (0.750)	Data 0.001 (0.001)	Loss 2.2234 (2.1683)	Prec@1 47.656 (45.167)	Prec@5 71.875 (75.741)
Epoch: [57][12640/14090]	Time 0.744 (0.750)	Data 0.001 (0.001)	Loss 1.8931 (2.1683)	Prec@1 54.688 (45.167)	Prec@5 78.906 (75.741)
Epoch: [57][12650/14090]	Time 0.738 (0.750)	Data 0.002 (0.001)	Loss 2.3697 (2.1683)	Prec@1 45.312 (45.168)	Prec@5 71.875 (75.742)
Epoch: [57][12660/14090]	Time 0.764 (0.750)	Data 0.001 (0.001)	Loss 2.1265 (2.1682)	Prec@1 46.875 (45.168)	Prec@5 75.781 (75.743)
Epoch: [57][12670/14090]	Time 0.752 (0.750)	Data 0.001 (0.001)	Loss 2.2523 (2.1683)	Prec@1 43.750 (45.167)	Prec@5 71.875 (75.743)
Epoch: [57][12680/14090]	Time 0.740 (0.750)	Data 0.001 (0.001)	Loss 2.3339 (2.1683)	Prec@1 37.500 (45.166)	Prec@5 73.438 (75.742)
Epoch: [57][12690/14090]	Time 0.736 (0.750)	Data 0.001 (0.001)	Loss 1.9679 (2.1683)	Prec@1 47.656 (45.168)	Prec@5 76.562 (75.742)
Epoch: [57][12700/14090]	Time 0.772 (0.750)	Data 0.001 (0.001)	Loss 2.1341 (2.1683)	Prec@1 46.094 (45.167)	Prec@5 72.656 (75.741)
Epoch: [57][12710/14090]	Time 0.728 (0.750)	Data 0.001 (0.001)	Loss 2.0037 (2.1683)	Prec@1 50.000 (45.168)	Prec@5 77.344 (75.741)
Epoch: [57][12720/14090]	Time 0.748 (0.750)	Data 0.002 (0.001)	Loss 2.0082 (2.1683)	Prec@1 42.969 (45.169)	Prec@5 75.781 (75.741)
Epoch: [57][12730/14090]	Time 0.747 (0.750)	Data 0.001 (0.001)	Loss 2.0786 (2.1683)	Prec@1 43.750 (45.169)	Prec@5 77.344 (75.740)
Epoch: [57][12740/14090]	Time 0.748 (0.750)	Data 0.001 (0.001)	Loss 2.4144 (2.1683)	Prec@1 40.625 (45.170)	Prec@5 70.312 (75.741)
Epoch: [57][12750/14090]	Time 0.773 (0.750)	Data 0.001 (0.001)	Loss 2.3390 (2.1682)	Prec@1 39.062 (45.168)	Prec@5 71.875 (75.743)
Epoch: [57][12760/14090]	Time 0.738 (0.750)	Data 0.001 (0.001)	Loss 2.0055 (2.1681)	Prec@1 48.438 (45.170)	Prec@5 78.125 (75.744)
Epoch: [57][12770/14090]	Time 0.780 (0.750)	Data 0.001 (0.001)	Loss 1.9575 (2.1682)	Prec@1 44.531 (45.169)	Prec@5 78.906 (75.744)
Epoch: [57][12780/14090]	Time 0.740 (0.750)	Data 0.001 (0.001)	Loss 2.0887 (2.1682)	Prec@1 46.875 (45.167)	Prec@5 74.219 (75.743)
Epoch: [57][12790/14090]	Time 0.725 (0.750)	Data 0.002 (0.001)	Loss 2.1117 (2.1682)	Prec@1 46.094 (45.166)	Prec@5 73.438 (75.743)
Epoch: [57][12800/14090]	Time 0.761 (0.750)	Data 0.001 (0.001)	Loss 2.2134 (2.1682)	Prec@1 42.188 (45.165)	Prec@5 77.344 (75.745)
Epoch: [57][12810/14090]	Time 0.717 (0.750)	Data 0.001 (0.001)	Loss 2.0322 (2.1682)	Prec@1 47.656 (45.165)	Prec@5 76.562 (75.744)
Epoch: [57][12820/14090]	Time 0.778 (0.750)	Data 0.001 (0.001)	Loss 2.2713 (2.1682)	Prec@1 40.625 (45.164)	Prec@5 75.781 (75.744)
Epoch: [57][12830/14090]	Time 0.741 (0.750)	Data 0.001 (0.001)	Loss 2.4843 (2.1683)	Prec@1 40.625 (45.163)	Prec@5 70.312 (75.744)
Epoch: [57][12840/14090]	Time 0.749 (0.750)	Data 0.001 (0.001)	Loss 2.2811 (2.1683)	Prec@1 46.094 (45.163)	Prec@5 70.312 (75.743)
Epoch: [57][12850/14090]	Time 0.760 (0.750)	Data 0.001 (0.001)	Loss 2.2352 (2.1684)	Prec@1 41.406 (45.161)	Prec@5 73.438 (75.742)
Epoch: [57][12860/14090]	Time 0.724 (0.750)	Data 0.002 (0.001)	Loss 2.2293 (2.1684)	Prec@1 42.188 (45.160)	Prec@5 74.219 (75.741)
Epoch: [57][12870/14090]	Time 0.757 (0.750)	Data 0.001 (0.001)	Loss 2.4166 (2.1684)	Prec@1 39.844 (45.160)	Prec@5 71.094 (75.741)
Epoch: [57][12880/14090]	Time 0.748 (0.750)	Data 0.001 (0.001)	Loss 2.3496 (2.1684)	Prec@1 42.969 (45.159)	Prec@5 71.094 (75.740)
Epoch: [57][12890/14090]	Time 0.724 (0.750)	Data 0.001 (0.001)	Loss 2.1392 (2.1684)	Prec@1 48.438 (45.160)	Prec@5 77.344 (75.741)
Epoch: [57][12900/14090]	Time 0.744 (0.750)	Data 0.001 (0.001)	Loss 2.0989 (2.1683)	Prec@1 43.750 (45.161)	Prec@5 77.344 (75.742)
Epoch: [57][12910/14090]	Time 0.738 (0.750)	Data 0.001 (0.001)	Loss 2.2468 (2.1684)	Prec@1 42.969 (45.160)	Prec@5 75.781 (75.741)
Epoch: [57][12920/14090]	Time 0.737 (0.750)	Data 0.001 (0.001)	Loss 1.9909 (2.1683)	Prec@1 48.438 (45.162)	Prec@5 78.125 (75.741)
Epoch: [57][12930/14090]	Time 0.734 (0.750)	Data 0.002 (0.001)	Loss 2.0838 (2.1683)	Prec@1 41.406 (45.162)	Prec@5 80.469 (75.741)
Epoch: [57][12940/14090]	Time 0.768 (0.750)	Data 0.001 (0.001)	Loss 2.3646 (2.1683)	Prec@1 40.625 (45.163)	Prec@5 71.094 (75.742)
Epoch: [57][12950/14090]	Time 0.751 (0.750)	Data 0.001 (0.001)	Loss 1.9716 (2.1682)	Prec@1 46.875 (45.165)	Prec@5 79.688 (75.745)
Epoch: [57][12960/14090]	Time 0.751 (0.750)	Data 0.001 (0.001)	Loss 2.5552 (2.1682)	Prec@1 43.750 (45.164)	Prec@5 67.969 (75.743)
Epoch: [57][12970/14090]	Time 0.732 (0.750)	Data 0.001 (0.001)	Loss 2.3994 (2.1682)	Prec@1 43.750 (45.164)	Prec@5 69.531 (75.744)
Epoch: [57][12980/14090]	Time 0.749 (0.750)	Data 0.001 (0.001)	Loss 2.0614 (2.1682)	Prec@1 43.750 (45.164)	Prec@5 81.250 (75.743)
Epoch: [57][12990/14090]	Time 0.727 (0.750)	Data 0.001 (0.001)	Loss 2.4341 (2.1683)	Prec@1 42.969 (45.164)	Prec@5 70.312 (75.743)
Epoch: [57][13000/14090]	Time 0.733 (0.750)	Data 0.002 (0.001)	Loss 2.1265 (2.1683)	Prec@1 47.656 (45.166)	Prec@5 81.250 (75.744)
Epoch: [57][13010/14090]	Time 0.768 (0.750)	Data 0.001 (0.001)	Loss 2.1750 (2.1683)	Prec@1 46.875 (45.165)	Prec@5 75.781 (75.744)
Epoch: [57][13020/14090]	Time 0.739 (0.750)	Data 0.001 (0.001)	Loss 2.4487 (2.1683)	Prec@1 37.500 (45.165)	Prec@5 67.188 (75.744)
Epoch: [57][13030/14090]	Time 0.762 (0.750)	Data 0.001 (0.001)	Loss 2.0485 (2.1683)	Prec@1 46.875 (45.165)	Prec@5 74.219 (75.743)
Epoch: [57][13040/14090]	Time 0.730 (0.750)	Data 0.001 (0.001)	Loss 2.3237 (2.1683)	Prec@1 42.188 (45.165)	Prec@5 71.875 (75.742)
Epoch: [57][13050/14090]	Time 0.749 (0.750)	Data 0.001 (0.001)	Loss 2.2970 (2.1683)	Prec@1 43.750 (45.166)	Prec@5 72.656 (75.741)
Epoch: [57][13060/14090]	Time 0.737 (0.750)	Data 0.001 (0.001)	Loss 2.3021 (2.1684)	Prec@1 39.062 (45.165)	Prec@5 72.656 (75.740)
Epoch: [57][13070/14090]	Time 0.778 (0.750)	Data 0.002 (0.001)	Loss 2.2866 (2.1684)	Prec@1 39.844 (45.164)	Prec@5 75.781 (75.740)
Epoch: [57][13080/14090]	Time 0.728 (0.750)	Data 0.001 (0.001)	Loss 2.1105 (2.1684)	Prec@1 50.781 (45.164)	Prec@5 78.906 (75.741)
Epoch: [57][13090/14090]	Time 0.743 (0.750)	Data 0.001 (0.001)	Loss 1.9240 (2.1684)	Prec@1 45.312 (45.164)	Prec@5 81.250 (75.741)
Epoch: [57][13100/14090]	Time 0.778 (0.750)	Data 0.001 (0.001)	Loss 2.2300 (2.1684)	Prec@1 44.531 (45.164)	Prec@5 79.688 (75.741)
Epoch: [57][13110/14090]	Time 0.766 (0.750)	Data 0.001 (0.001)	Loss 2.3654 (2.1684)	Prec@1 36.719 (45.162)	Prec@5 74.219 (75.740)
Epoch: [57][13120/14090]	Time 0.737 (0.750)	Data 0.001 (0.001)	Loss 2.2406 (2.1685)	Prec@1 46.094 (45.161)	Prec@5 74.219 (75.739)
Epoch: [57][13130/14090]	Time 0.741 (0.750)	Data 0.001 (0.001)	Loss 2.2357 (2.1685)	Prec@1 42.969 (45.160)	Prec@5 74.219 (75.739)
Epoch: [57][13140/14090]	Time 0.748 (0.750)	Data 0.002 (0.001)	Loss 2.0796 (2.1685)	Prec@1 48.438 (45.161)	Prec@5 74.219 (75.740)
Epoch: [57][13150/14090]	Time 0.763 (0.750)	Data 0.001 (0.001)	Loss 2.2373 (2.1685)	Prec@1 44.531 (45.160)	Prec@5 78.906 (75.741)
Epoch: [57][13160/14090]	Time 0.749 (0.750)	Data 0.001 (0.001)	Loss 2.3318 (2.1685)	Prec@1 45.312 (45.162)	Prec@5 72.656 (75.741)
Epoch: [57][13170/14090]	Time 0.758 (0.750)	Data 0.001 (0.001)	Loss 2.1755 (2.1685)	Prec@1 50.781 (45.162)	Prec@5 79.688 (75.741)
Epoch: [57][13180/14090]	Time 0.754 (0.750)	Data 0.002 (0.001)	Loss 2.2443 (2.1685)	Prec@1 38.281 (45.163)	Prec@5 70.312 (75.741)
Epoch: [57][13190/14090]	Time 0.736 (0.750)	Data 0.001 (0.001)	Loss 2.1827 (2.1685)	Prec@1 47.656 (45.164)	Prec@5 72.656 (75.741)
Epoch: [57][13200/14090]	Time 0.763 (0.750)	Data 0.001 (0.001)	Loss 2.2192 (2.1685)	Prec@1 45.312 (45.164)	Prec@5 76.562 (75.741)
Epoch: [57][13210/14090]	Time 0.726 (0.750)	Data 0.001 (0.001)	Loss 2.0431 (2.1685)	Prec@1 52.344 (45.163)	Prec@5 79.688 (75.741)
Epoch: [57][13220/14090]	Time 0.735 (0.750)	Data 0.001 (0.001)	Loss 2.2651 (2.1685)	Prec@1 47.656 (45.163)	Prec@5 77.344 (75.741)
Epoch: [57][13230/14090]	Time 0.764 (0.750)	Data 0.001 (0.001)	Loss 2.3067 (2.1685)	Prec@1 45.312 (45.163)	Prec@5 73.438 (75.741)
Epoch: [57][13240/14090]	Time 0.770 (0.750)	Data 0.001 (0.001)	Loss 2.2461 (2.1686)	Prec@1 39.062 (45.162)	Prec@5 76.562 (75.740)
Epoch: [57][13250/14090]	Time 0.752 (0.750)	Data 0.001 (0.001)	Loss 2.0248 (2.1686)	Prec@1 46.094 (45.162)	Prec@5 79.688 (75.739)
Epoch: [57][13260/14090]	Time 0.750 (0.750)	Data 0.001 (0.001)	Loss 2.4174 (2.1686)	Prec@1 39.062 (45.160)	Prec@5 71.875 (75.739)
Epoch: [57][13270/14090]	Time 0.749 (0.750)	Data 0.001 (0.001)	Loss 1.9993 (2.1686)	Prec@1 44.531 (45.160)	Prec@5 78.125 (75.739)
Epoch: [57][13280/14090]	Time 0.777 (0.750)	Data 0.002 (0.001)	Loss 2.2944 (2.1687)	Prec@1 44.531 (45.159)	Prec@5 72.656 (75.738)
Epoch: [57][13290/14090]	Time 0.781 (0.750)	Data 0.001 (0.001)	Loss 2.2009 (2.1687)	Prec@1 43.750 (45.161)	Prec@5 72.656 (75.739)
Epoch: [57][13300/14090]	Time 0.750 (0.750)	Data 0.001 (0.001)	Loss 2.5418 (2.1687)	Prec@1 42.188 (45.159)	Prec@5 68.750 (75.737)
Epoch: [57][13310/14090]	Time 0.746 (0.750)	Data 0.001 (0.001)	Loss 2.1747 (2.1688)	Prec@1 46.094 (45.158)	Prec@5 73.438 (75.738)
Epoch: [57][13320/14090]	Time 0.740 (0.750)	Data 0.001 (0.001)	Loss 2.2179 (2.1687)	Prec@1 49.219 (45.159)	Prec@5 71.094 (75.739)
Epoch: [57][13330/14090]	Time 0.745 (0.750)	Data 0.001 (0.001)	Loss 2.0571 (2.1687)	Prec@1 42.969 (45.160)	Prec@5 74.219 (75.738)
Epoch: [57][13340/14090]	Time 0.756 (0.750)	Data 0.001 (0.001)	Loss 2.1275 (2.1687)	Prec@1 47.656 (45.160)	Prec@5 75.781 (75.738)
Epoch: [57][13350/14090]	Time 0.750 (0.750)	Data 0.002 (0.001)	Loss 2.3337 (2.1687)	Prec@1 45.312 (45.160)	Prec@5 75.000 (75.736)
Epoch: [57][13360/14090]	Time 0.797 (0.750)	Data 0.001 (0.001)	Loss 2.1171 (2.1687)	Prec@1 50.781 (45.160)	Prec@5 75.000 (75.735)
Epoch: [57][13370/14090]	Time 0.739 (0.750)	Data 0.001 (0.001)	Loss 2.2329 (2.1687)	Prec@1 42.969 (45.161)	Prec@5 69.531 (75.736)
Epoch: [57][13380/14090]	Time 0.763 (0.750)	Data 0.001 (0.001)	Loss 2.1318 (2.1687)	Prec@1 43.750 (45.161)	Prec@5 75.781 (75.735)
Epoch: [57][13390/14090]	Time 0.748 (0.750)	Data 0.001 (0.001)	Loss 2.1384 (2.1687)	Prec@1 44.531 (45.161)	Prec@5 78.125 (75.735)
Epoch: [57][13400/14090]	Time 0.723 (0.750)	Data 0.001 (0.001)	Loss 2.1079 (2.1687)	Prec@1 49.219 (45.162)	Prec@5 74.219 (75.734)
Epoch: [57][13410/14090]	Time 0.745 (0.750)	Data 0.001 (0.001)	Loss 2.3962 (2.1687)	Prec@1 42.969 (45.163)	Prec@5 72.656 (75.734)
Epoch: [57][13420/14090]	Time 0.749 (0.750)	Data 0.002 (0.001)	Loss 2.1320 (2.1688)	Prec@1 53.125 (45.162)	Prec@5 73.438 (75.733)
Epoch: [57][13430/14090]	Time 0.767 (0.750)	Data 0.001 (0.001)	Loss 2.1375 (2.1688)	Prec@1 45.312 (45.162)	Prec@5 74.219 (75.733)
Epoch: [57][13440/14090]	Time 0.745 (0.750)	Data 0.001 (0.001)	Loss 2.0216 (2.1688)	Prec@1 50.781 (45.161)	Prec@5 78.906 (75.733)
Epoch: [57][13450/14090]	Time 0.748 (0.750)	Data 0.001 (0.001)	Loss 2.0265 (2.1688)	Prec@1 47.656 (45.161)	Prec@5 80.469 (75.731)
Epoch: [57][13460/14090]	Time 0.736 (0.750)	Data 0.001 (0.001)	Loss 2.4175 (2.1689)	Prec@1 35.938 (45.160)	Prec@5 70.312 (75.731)
Epoch: [57][13470/14090]	Time 0.758 (0.750)	Data 0.001 (0.001)	Loss 2.0817 (2.1688)	Prec@1 50.000 (45.162)	Prec@5 74.219 (75.731)
Epoch: [57][13480/14090]	Time 0.724 (0.750)	Data 0.001 (0.001)	Loss 2.3318 (2.1689)	Prec@1 40.625 (45.160)	Prec@5 71.094 (75.729)
Epoch: [57][13490/14090]	Time 0.744 (0.750)	Data 0.002 (0.001)	Loss 1.9821 (2.1689)	Prec@1 46.094 (45.160)	Prec@5 77.344 (75.730)
Epoch: [57][13500/14090]	Time 0.738 (0.750)	Data 0.001 (0.001)	Loss 2.1708 (2.1689)	Prec@1 44.531 (45.160)	Prec@5 74.219 (75.731)
Epoch: [57][13510/14090]	Time 0.741 (0.750)	Data 0.001 (0.001)	Loss 2.5104 (2.1689)	Prec@1 38.281 (45.161)	Prec@5 71.875 (75.731)
Epoch: [57][13520/14090]	Time 0.737 (0.750)	Data 0.001 (0.001)	Loss 2.1894 (2.1688)	Prec@1 46.094 (45.162)	Prec@5 75.781 (75.733)
Epoch: [57][13530/14090]	Time 0.739 (0.750)	Data 0.001 (0.001)	Loss 2.2408 (2.1689)	Prec@1 42.188 (45.161)	Prec@5 74.219 (75.732)
Epoch: [57][13540/14090]	Time 0.728 (0.750)	Data 0.001 (0.001)	Loss 1.9413 (2.1689)	Prec@1 52.344 (45.162)	Prec@5 78.906 (75.733)
Epoch: [57][13550/14090]	Time 0.762 (0.750)	Data 0.001 (0.001)	Loss 2.0955 (2.1689)	Prec@1 42.969 (45.161)	Prec@5 79.688 (75.733)
Epoch: [57][13560/14090]	Time 0.726 (0.750)	Data 0.002 (0.001)	Loss 2.2262 (2.1689)	Prec@1 37.500 (45.161)	Prec@5 71.875 (75.733)
Epoch: [57][13570/14090]	Time 0.755 (0.750)	Data 0.001 (0.001)	Loss 2.0374 (2.1689)	Prec@1 46.875 (45.160)	Prec@5 76.562 (75.732)
Epoch: [57][13580/14090]	Time 0.744 (0.750)	Data 0.001 (0.001)	Loss 2.5562 (2.1690)	Prec@1 35.938 (45.160)	Prec@5 71.094 (75.732)
Epoch: [57][13590/14090]	Time 0.741 (0.750)	Data 0.001 (0.001)	Loss 2.5012 (2.1690)	Prec@1 33.594 (45.158)	Prec@5 67.188 (75.731)
Epoch: [57][13600/14090]	Time 0.723 (0.750)	Data 0.001 (0.001)	Loss 2.2172 (2.1690)	Prec@1 45.312 (45.159)	Prec@5 78.125 (75.732)
Epoch: [57][13610/14090]	Time 0.750 (0.750)	Data 0.001 (0.001)	Loss 2.1854 (2.1690)	Prec@1 43.750 (45.158)	Prec@5 73.438 (75.731)
Epoch: [57][13620/14090]	Time 0.720 (0.750)	Data 0.001 (0.001)	Loss 2.1018 (2.1689)	Prec@1 50.781 (45.160)	Prec@5 78.906 (75.732)
Epoch: [57][13630/14090]	Time 0.736 (0.750)	Data 0.002 (0.001)	Loss 2.1267 (2.1689)	Prec@1 46.094 (45.160)	Prec@5 77.344 (75.733)
Epoch: [57][13640/14090]	Time 0.744 (0.750)	Data 0.001 (0.001)	Loss 1.9458 (2.1689)	Prec@1 53.125 (45.161)	Prec@5 75.781 (75.733)
Epoch: [57][13650/14090]	Time 0.748 (0.750)	Data 0.001 (0.001)	Loss 2.0851 (2.1689)	Prec@1 51.562 (45.160)	Prec@5 75.781 (75.734)
Epoch: [57][13660/14090]	Time 0.749 (0.750)	Data 0.001 (0.001)	Loss 2.3103 (2.1690)	Prec@1 45.312 (45.158)	Prec@5 68.750 (75.732)
Epoch: [57][13670/14090]	Time 0.783 (0.750)	Data 0.001 (0.001)	Loss 2.0536 (2.1690)	Prec@1 50.781 (45.159)	Prec@5 73.438 (75.732)
Epoch: [57][13680/14090]	Time 0.750 (0.750)	Data 0.001 (0.001)	Loss 1.9151 (2.1690)	Prec@1 45.312 (45.159)	Prec@5 81.250 (75.733)
Epoch: [57][13690/14090]	Time 0.748 (0.750)	Data 0.001 (0.001)	Loss 2.4035 (2.1690)	Prec@1 38.281 (45.157)	Prec@5 75.000 (75.731)
Epoch: [57][13700/14090]	Time 0.730 (0.750)	Data 0.002 (0.001)	Loss 2.1015 (2.1691)	Prec@1 46.875 (45.157)	Prec@5 79.688 (75.731)
Epoch: [57][13710/14090]	Time 0.752 (0.750)	Data 0.001 (0.001)	Loss 2.4216 (2.1691)	Prec@1 38.281 (45.158)	Prec@5 70.312 (75.731)
Epoch: [57][13720/14090]	Time 0.735 (0.750)	Data 0.001 (0.001)	Loss 2.1327 (2.1691)	Prec@1 46.094 (45.158)	Prec@5 75.781 (75.731)
Epoch: [57][13730/14090]	Time 0.724 (0.750)	Data 0.001 (0.001)	Loss 2.1843 (2.1690)	Prec@1 43.750 (45.159)	Prec@5 75.781 (75.732)
Epoch: [57][13740/14090]	Time 0.752 (0.750)	Data 0.001 (0.001)	Loss 1.9737 (2.1690)	Prec@1 50.000 (45.160)	Prec@5 81.250 (75.733)
Epoch: [57][13750/14090]	Time 0.755 (0.750)	Data 0.001 (0.001)	Loss 2.3425 (2.1691)	Prec@1 47.656 (45.159)	Prec@5 72.656 (75.732)
Epoch: [57][13760/14090]	Time 0.740 (0.750)	Data 0.001 (0.001)	Loss 2.2627 (2.1691)	Prec@1 38.281 (45.160)	Prec@5 71.875 (75.732)
Epoch: [57][13770/14090]	Time 0.758 (0.750)	Data 0.002 (0.001)	Loss 2.2103 (2.1690)	Prec@1 48.438 (45.160)	Prec@5 79.688 (75.732)
Epoch: [57][13780/14090]	Time 0.735 (0.750)	Data 0.001 (0.001)	Loss 2.1666 (2.1690)	Prec@1 48.438 (45.161)	Prec@5 75.781 (75.732)
Epoch: [57][13790/14090]	Time 0.735 (0.750)	Data 0.001 (0.001)	Loss 2.3312 (2.1690)	Prec@1 36.719 (45.159)	Prec@5 73.438 (75.731)
Epoch: [57][13800/14090]	Time 0.725 (0.750)	Data 0.001 (0.001)	Loss 2.0595 (2.1691)	Prec@1 44.531 (45.158)	Prec@5 81.250 (75.732)
Epoch: [57][13810/14090]	Time 0.775 (0.750)	Data 0.001 (0.001)	Loss 2.2995 (2.1691)	Prec@1 44.531 (45.157)	Prec@5 75.000 (75.731)
Epoch: [57][13820/14090]	Time 0.743 (0.750)	Data 0.001 (0.001)	Loss 2.5822 (2.1692)	Prec@1 41.406 (45.158)	Prec@5 71.875 (75.730)
Epoch: [57][13830/14090]	Time 0.752 (0.750)	Data 0.001 (0.001)	Loss 2.0396 (2.1692)	Prec@1 42.969 (45.157)	Prec@5 78.125 (75.730)
Epoch: [57][13840/14090]	Time 0.750 (0.750)	Data 0.002 (0.001)	Loss 2.2442 (2.1692)	Prec@1 41.406 (45.156)	Prec@5 74.219 (75.728)
Epoch: [57][13850/14090]	Time 0.750 (0.750)	Data 0.001 (0.001)	Loss 2.1093 (2.1693)	Prec@1 48.438 (45.156)	Prec@5 78.125 (75.729)
Epoch: [57][13860/14090]	Time 0.739 (0.750)	Data 0.001 (0.001)	Loss 2.2737 (2.1694)	Prec@1 46.094 (45.154)	Prec@5 71.875 (75.727)
Epoch: [57][13870/14090]	Time 0.745 (0.750)	Data 0.001 (0.001)	Loss 2.1748 (2.1694)	Prec@1 44.531 (45.153)	Prec@5 78.125 (75.726)
Epoch: [57][13880/14090]	Time 0.742 (0.750)	Data 0.001 (0.001)	Loss 2.1646 (2.1694)	Prec@1 46.875 (45.154)	Prec@5 73.438 (75.726)
Epoch: [57][13890/14090]	Time 0.735 (0.750)	Data 0.001 (0.001)	Loss 1.9051 (2.1694)	Prec@1 49.219 (45.155)	Prec@5 82.031 (75.726)
Epoch: [57][13900/14090]	Time 0.739 (0.750)	Data 0.001 (0.001)	Loss 2.3171 (2.1694)	Prec@1 41.406 (45.154)	Prec@5 72.656 (75.726)
Epoch: [57][13910/14090]	Time 0.772 (0.750)	Data 0.002 (0.001)	Loss 1.8269 (2.1694)	Prec@1 51.562 (45.154)	Prec@5 81.250 (75.726)
Epoch: [57][13920/14090]	Time 0.768 (0.750)	Data 0.001 (0.001)	Loss 2.2478 (2.1693)	Prec@1 39.062 (45.155)	Prec@5 78.906 (75.728)
Epoch: [57][13930/14090]	Time 0.751 (0.750)	Data 0.001 (0.001)	Loss 2.3843 (2.1693)	Prec@1 43.750 (45.155)	Prec@5 71.875 (75.728)
Epoch: [57][13940/14090]	Time 0.749 (0.750)	Data 0.001 (0.001)	Loss 2.2745 (2.1693)	Prec@1 41.406 (45.155)	Prec@5 75.781 (75.729)
Epoch: [57][13950/14090]	Time 0.753 (0.750)	Data 0.001 (0.001)	Loss 2.0043 (2.1693)	Prec@1 46.094 (45.156)	Prec@5 80.469 (75.731)
Epoch: [57][13960/14090]	Time 0.727 (0.750)	Data 0.001 (0.001)	Loss 2.1387 (2.1692)	Prec@1 45.312 (45.156)	Prec@5 77.344 (75.731)
Epoch: [57][13970/14090]	Time 0.752 (0.750)	Data 0.001 (0.001)	Loss 2.3651 (2.1692)	Prec@1 42.969 (45.155)	Prec@5 75.000 (75.731)
Epoch: [57][13980/14090]	Time 0.768 (0.750)	Data 0.002 (0.001)	Loss 2.1916 (2.1692)	Prec@1 46.875 (45.155)	Prec@5 76.562 (75.731)
Epoch: [57][13990/14090]	Time 0.761 (0.750)	Data 0.001 (0.001)	Loss 2.2071 (2.1692)	Prec@1 41.406 (45.154)	Prec@5 77.344 (75.731)
Epoch: [57][14000/14090]	Time 0.743 (0.750)	Data 0.003 (0.001)	Loss 2.0051 (2.1692)	Prec@1 42.969 (45.153)	Prec@5 75.781 (75.732)
Epoch: [57][14010/14090]	Time 0.730 (0.750)	Data 0.001 (0.001)	Loss 2.2323 (2.1692)	Prec@1 47.656 (45.152)	Prec@5 74.219 (75.732)
Epoch: [57][14020/14090]	Time 0.755 (0.750)	Data 0.001 (0.001)	Loss 1.7556 (2.1691)	Prec@1 53.125 (45.153)	Prec@5 85.156 (75.732)
Epoch: [57][14030/14090]	Time 0.751 (0.750)	Data 0.001 (0.001)	Loss 2.4121 (2.1692)	Prec@1 42.188 (45.155)	Prec@5 71.875 (75.732)
Epoch: [57][14040/14090]	Time 0.758 (0.750)	Data 0.001 (0.001)	Loss 2.0666 (2.1691)	Prec@1 46.875 (45.155)	Prec@5 78.906 (75.734)
Epoch: [57][14050/14090]	Time 0.727 (0.750)	Data 0.002 (0.001)	Loss 2.2216 (2.1692)	Prec@1 42.969 (45.154)	Prec@5 75.781 (75.734)
Epoch: [57][14060/14090]	Time 0.777 (0.750)	Data 0.001 (0.001)	Loss 2.3745 (2.1692)	Prec@1 40.625 (45.153)	Prec@5 75.781 (75.734)
Epoch: [57][14070/14090]	Time 0.733 (0.750)	Data 0.001 (0.001)	Loss 2.0229 (2.1692)	Prec@1 51.562 (45.154)	Prec@5 78.125 (75.734)
Epoch: [57][14080/14090]	Time 0.724 (0.750)	Data 0.000 (0.001)	Loss 2.1703 (2.1692)	Prec@1 49.219 (45.154)	Prec@5 75.781 (75.734)
Test: [0/286]	Time 5.011 (5.011)	Loss 1.2928 (1.2928)	Prec@1 58.594 (58.594)	Prec@5 93.750 (93.750)
Test: [10/286]	Time 0.290 (0.857)	Loss 1.5130 (1.8554)	Prec@1 55.469 (52.486)	Prec@5 89.062 (82.315)
Test: [20/286]	Time 0.236 (0.644)	Loss 1.8399 (1.8856)	Prec@1 44.531 (50.335)	Prec@5 85.938 (82.738)
Test: [30/286]	Time 0.230 (0.572)	Loss 1.8683 (1.8001)	Prec@1 57.812 (52.873)	Prec@5 80.469 (83.241)
Test: [40/286]	Time 1.646 (0.571)	Loss 1.6190 (1.7995)	Prec@1 47.656 (52.496)	Prec@5 85.156 (83.403)
Test: [50/286]	Time 0.235 (0.546)	Loss 0.5943 (1.7794)	Prec@1 89.062 (52.711)	Prec@5 94.531 (83.854)
Test: [60/286]	Time 0.385 (0.531)	Loss 2.4030 (1.7957)	Prec@1 43.750 (52.766)	Prec@5 72.656 (83.094)
Test: [70/286]	Time 0.229 (0.516)	Loss 1.2761 (1.7770)	Prec@1 69.531 (53.070)	Prec@5 91.406 (83.550)
Test: [80/286]	Time 1.232 (0.516)	Loss 2.0113 (1.8259)	Prec@1 45.312 (51.601)	Prec@5 79.688 (82.745)
Test: [90/286]	Time 0.243 (0.513)	Loss 1.9477 (1.8313)	Prec@1 50.781 (51.743)	Prec@5 79.688 (82.709)
Test: [100/286]	Time 0.254 (0.505)	Loss 2.5226 (1.8520)	Prec@1 23.438 (50.967)	Prec@5 74.219 (82.619)
Test: [110/286]	Time 0.314 (0.499)	Loss 2.3834 (1.8701)	Prec@1 42.188 (50.598)	Prec@5 75.781 (82.573)
Test: [120/286]	Time 0.775 (0.496)	Loss 1.7854 (1.8557)	Prec@1 57.031 (51.014)	Prec@5 78.125 (82.683)
Test: [130/286]	Time 0.234 (0.499)	Loss 1.0455 (1.8483)	Prec@1 66.406 (51.234)	Prec@5 96.875 (82.753)
Test: [140/286]	Time 0.235 (0.494)	Loss 2.2017 (1.8445)	Prec@1 46.094 (51.369)	Prec@5 77.344 (82.724)
Test: [150/286]	Time 0.265 (0.490)	Loss 2.6523 (1.8506)	Prec@1 32.812 (51.030)	Prec@5 73.438 (82.683)
Test: [160/286]	Time 1.119 (0.492)	Loss 3.3750 (1.8485)	Prec@1 16.406 (51.203)	Prec@5 53.125 (82.643)
Test: [170/286]	Time 0.233 (0.492)	Loss 1.8512 (1.8405)	Prec@1 52.344 (51.352)	Prec@5 82.031 (82.735)
Test: [180/286]	Time 0.233 (0.489)	Loss 1.8503 (1.8519)	Prec@1 54.688 (51.075)	Prec@5 79.688 (82.566)
Test: [190/286]	Time 0.270 (0.486)	Loss 3.1146 (1.8711)	Prec@1 7.031 (50.597)	Prec@5 65.625 (82.375)
Test: [200/286]	Time 1.241 (0.489)	Loss 1.6021 (1.8618)	Prec@1 64.844 (50.910)	Prec@5 88.281 (82.478)
Test: [210/286]	Time 0.441 (0.489)	Loss 1.8102 (1.8710)	Prec@1 58.594 (50.581)	Prec@5 82.031 (82.387)
Test: [220/286]	Time 0.256 (0.486)	Loss 2.7175 (1.8727)	Prec@1 23.438 (50.636)	Prec@5 72.656 (82.289)
Test: [230/286]	Time 0.300 (0.484)	Loss 1.1106 (1.8702)	Prec@1 72.656 (50.771)	Prec@5 89.844 (82.298)
Test: [240/286]	Time 1.386 (0.486)	Loss 2.1377 (1.8690)	Prec@1 46.094 (50.833)	Prec@5 77.344 (82.329)
Test: [250/286]	Time 0.456 (0.485)	Loss 1.8207 (1.8569)	Prec@1 49.219 (50.974)	Prec@5 78.906 (82.582)
Test: [260/286]	Time 0.232 (0.484)	Loss 1.7152 (1.8542)	Prec@1 56.250 (51.060)	Prec@5 84.375 (82.633)
Test: [270/286]	Time 0.520 (0.482)	Loss 1.1705 (1.8565)	Prec@1 71.875 (51.038)	Prec@5 93.750 (82.663)
Test: [280/286]	Time 1.110 (0.483)	Loss 1.8634 (1.8446)	Prec@1 55.469 (51.485)	Prec@5 89.844 (82.771)
 * Prec@1 51.577 Prec@5 82.770
Epoch: [58][0/14090]	Time 6.105 (6.105)	Data 5.319 (5.319)	Loss 2.0718 (2.0718)	Prec@1 52.344 (52.344)	Prec@5 75.000 (75.000)
Epoch: [58][10/14090]	Time 0.739 (1.227)	Data 0.003 (0.484)	Loss 1.8240 (2.1254)	Prec@1 57.812 (46.520)	Prec@5 79.688 (75.994)
Epoch: [58][20/14090]	Time 0.866 (1.001)	Data 0.001 (0.254)	Loss 2.0827 (2.0888)	Prec@1 53.125 (47.098)	Prec@5 82.812 (76.935)
Epoch: [58][30/14090]	Time 0.743 (0.918)	Data 0.001 (0.172)	Loss 2.0570 (2.1091)	Prec@1 46.094 (46.673)	Prec@5 81.250 (76.537)
Epoch: [58][40/14090]	Time 0.749 (0.881)	Data 0.001 (0.131)	Loss 2.0163 (2.1151)	Prec@1 49.219 (46.551)	Prec@5 71.094 (76.181)
Epoch: [58][50/14090]	Time 0.733 (0.857)	Data 0.001 (0.105)	Loss 2.2172 (2.1022)	Prec@1 48.438 (47.089)	Prec@5 76.562 (76.532)
Epoch: [58][60/14090]	Time 0.754 (0.841)	Data 0.001 (0.088)	Loss 2.2594 (2.1102)	Prec@1 50.000 (47.131)	Prec@5 71.875 (76.358)
Epoch: [58][70/14090]	Time 0.757 (0.833)	Data 0.001 (0.076)	Loss 2.1251 (2.1156)	Prec@1 42.188 (46.941)	Prec@5 75.000 (76.408)
Epoch: [58][80/14090]	Time 0.756 (0.825)	Data 0.001 (0.066)	Loss 1.9494 (2.1127)	Prec@1 52.344 (47.222)	Prec@5 79.688 (76.485)
Epoch: [58][90/14090]	Time 0.867 (0.819)	Data 0.001 (0.059)	Loss 2.2737 (2.1123)	Prec@1 41.406 (47.012)	Prec@5 69.531 (76.434)
Epoch: [58][100/14090]	Time 0.759 (0.814)	Data 0.001 (0.054)	Loss 2.5168 (2.1166)	Prec@1 35.156 (46.720)	Prec@5 72.656 (76.385)
Epoch: [58][110/14090]	Time 0.732 (0.810)	Data 0.001 (0.049)	Loss 2.1348 (2.1252)	Prec@1 51.562 (46.446)	Prec@5 77.344 (76.295)
Epoch: [58][120/14090]	Time 0.753 (0.808)	Data 0.001 (0.045)	Loss 2.2578 (2.1167)	Prec@1 40.625 (46.462)	Prec@5 71.875 (76.420)
Epoch: [58][130/14090]	Time 0.774 (0.805)	Data 0.001 (0.041)	Loss 2.2528 (2.1244)	Prec@1 44.531 (46.285)	Prec@5 75.781 (76.288)
Epoch: [58][140/14090]	Time 0.740 (0.804)	Data 0.001 (0.039)	Loss 2.1723 (2.1256)	Prec@1 43.750 (46.232)	Prec@5 74.219 (76.308)
Epoch: [58][150/14090]	Time 0.741 (0.801)	Data 0.001 (0.036)	Loss 2.0027 (2.1216)	Prec@1 48.438 (46.316)	Prec@5 77.344 (76.387)
Epoch: [58][160/14090]	Time 0.860 (0.799)	Data 0.001 (0.034)	Loss 1.9474 (2.1221)	Prec@1 52.344 (46.302)	Prec@5 79.688 (76.393)
Epoch: [58][170/14090]	Time 0.724 (0.798)	Data 0.001 (0.032)	Loss 2.1756 (2.1259)	Prec@1 48.438 (46.190)	Prec@5 73.438 (76.293)
Epoch: [58][180/14090]	Time 0.746 (0.795)	Data 0.001 (0.030)	Loss 2.0469 (2.1249)	Prec@1 47.656 (46.232)	Prec@5 77.344 (76.308)
Epoch: [58][190/14090]	Time 0.752 (0.794)	Data 0.001 (0.029)	Loss 2.2334 (2.1279)	Prec@1 43.750 (46.188)	Prec@5 73.438 (76.252)
Epoch: [58][200/14090]	Time 0.755 (0.793)	Data 0.002 (0.027)	Loss 1.9453 (2.1240)	Prec@1 47.656 (46.273)	Prec@5 82.812 (76.356)
Epoch: [58][210/14090]	Time 0.749 (0.792)	Data 0.002 (0.026)	Loss 1.9956 (2.1234)	Prec@1 48.438 (46.283)	Prec@5 77.344 (76.400)
Epoch: [58][220/14090]	Time 0.732 (0.790)	Data 0.001 (0.025)	Loss 2.0898 (2.1272)	Prec@1 46.875 (46.210)	Prec@5 78.125 (76.340)
Epoch: [58][230/14090]	Time 0.921 (0.790)	Data 0.001 (0.024)	Loss 2.2671 (2.1281)	Prec@1 44.531 (46.226)	Prec@5 77.344 (76.376)
Epoch: [58][240/14090]	Time 0.725 (0.788)	Data 0.001 (0.023)	Loss 2.0489 (2.1277)	Prec@1 53.125 (46.253)	Prec@5 75.000 (76.397)
Epoch: [58][250/14090]	Time 0.753 (0.787)	Data 0.001 (0.022)	Loss 1.9334 (2.1268)	Prec@1 53.906 (46.209)	Prec@5 78.906 (76.447)
Epoch: [58][260/14090]	Time 0.741 (0.787)	Data 0.001 (0.021)	Loss 2.3916 (2.1265)	Prec@1 35.938 (46.282)	Prec@5 74.219 (76.467)
Epoch: [58][270/14090]	Time 0.765 (0.786)	Data 0.001 (0.021)	Loss 2.2868 (2.1292)	Prec@1 39.062 (46.206)	Prec@5 75.000 (76.447)
Epoch: [58][280/14090]	Time 0.765 (0.785)	Data 0.001 (0.020)	Loss 2.0933 (2.1333)	Prec@1 53.906 (46.183)	Prec@5 72.656 (76.379)
Epoch: [58][290/14090]	Time 0.747 (0.784)	Data 0.001 (0.019)	Loss 2.3349 (2.1335)	Prec@1 41.406 (46.131)	Prec@5 71.875 (76.372)
Epoch: [58][300/14090]	Time 0.836 (0.784)	Data 0.001 (0.019)	Loss 2.2756 (2.1341)	Prec@1 43.750 (46.102)	Prec@5 75.000 (76.394)
Epoch: [58][310/14090]	Time 0.766 (0.783)	Data 0.001 (0.018)	Loss 2.3623 (2.1342)	Prec@1 36.719 (46.031)	Prec@5 75.000 (76.374)
Epoch: [58][320/14090]	Time 0.739 (0.783)	Data 0.001 (0.017)	Loss 1.9978 (2.1348)	Prec@1 50.781 (45.994)	Prec@5 79.688 (76.380)
Epoch: [58][330/14090]	Time 0.740 (0.783)	Data 0.001 (0.017)	Loss 2.1132 (2.1368)	Prec@1 47.656 (45.969)	Prec@5 78.125 (76.364)
Epoch: [58][340/14090]	Time 0.754 (0.782)	Data 0.001 (0.016)	Loss 2.2298 (2.1365)	Prec@1 46.094 (45.988)	Prec@5 75.000 (76.322)
Epoch: [58][350/14090]	Time 0.732 (0.782)	Data 0.001 (0.016)	Loss 2.3186 (2.1386)	Prec@1 40.625 (45.958)	Prec@5 76.562 (76.278)
Epoch: [58][360/14090]	Time 0.779 (0.781)	Data 0.001 (0.016)	Loss 2.1402 (2.1380)	Prec@1 45.312 (45.951)	Prec@5 73.438 (76.275)
Epoch: [58][370/14090]	Time 0.857 (0.781)	Data 0.001 (0.015)	Loss 2.2573 (2.1370)	Prec@1 50.000 (46.014)	Prec@5 73.438 (76.278)
Epoch: [58][380/14090]	Time 0.762 (0.780)	Data 0.001 (0.015)	Loss 2.2798 (2.1352)	Prec@1 38.281 (46.053)	Prec@5 74.219 (76.286)
Epoch: [58][390/14090]	Time 0.755 (0.780)	Data 0.001 (0.014)	Loss 2.1962 (2.1349)	Prec@1 43.750 (46.058)	Prec@5 74.219 (76.281)
Epoch: [58][400/14090]	Time 0.750 (0.780)	Data 0.001 (0.014)	Loss 2.1606 (2.1344)	Prec@1 43.750 (46.055)	Prec@5 76.562 (76.290)
Epoch: [58][410/14090]	Time 0.748 (0.780)	Data 0.001 (0.014)	Loss 2.2263 (2.1349)	Prec@1 44.531 (46.046)	Prec@5 75.000 (76.279)
Epoch: [58][420/14090]	Time 0.753 (0.780)	Data 0.001 (0.014)	Loss 2.1782 (2.1365)	Prec@1 48.438 (45.984)	Prec@5 74.219 (76.258)
Epoch: [58][430/14090]	Time 0.751 (0.779)	Data 0.001 (0.013)	Loss 2.2178 (2.1372)	Prec@1 46.094 (46.001)	Prec@5 75.781 (76.272)
Epoch: [58][440/14090]	Time 0.907 (0.779)	Data 0.001 (0.013)	Loss 2.0979 (2.1362)	Prec@1 44.531 (45.968)	Prec@5 71.875 (76.258)
Epoch: [58][450/14090]	Time 0.738 (0.779)	Data 0.001 (0.013)	Loss 2.2854 (2.1368)	Prec@1 41.406 (45.957)	Prec@5 72.656 (76.223)
Epoch: [58][460/14090]	Time 0.729 (0.778)	Data 0.001 (0.012)	Loss 2.3506 (2.1366)	Prec@1 43.750 (45.921)	Prec@5 70.312 (76.251)
Epoch: [58][470/14090]	Time 0.762 (0.778)	Data 0.001 (0.012)	Loss 2.1623 (2.1376)	Prec@1 39.844 (45.883)	Prec@5 78.125 (76.242)
Epoch: [58][480/14090]	Time 0.749 (0.778)	Data 0.001 (0.012)	Loss 2.5862 (2.1394)	Prec@1 35.156 (45.891)	Prec@5 71.094 (76.213)
Epoch: [58][490/14090]	Time 0.746 (0.778)	Data 0.001 (0.012)	Loss 2.0497 (2.1417)	Prec@1 45.312 (45.836)	Prec@5 79.688 (76.173)
Epoch: [58][500/14090]	Time 0.764 (0.777)	Data 0.001 (0.012)	Loss 2.2819 (2.1428)	Prec@1 45.312 (45.808)	Prec@5 73.438 (76.177)
Epoch: [58][510/14090]	Time 0.904 (0.777)	Data 0.001 (0.011)	Loss 2.0224 (2.1403)	Prec@1 48.438 (45.857)	Prec@5 82.031 (76.217)
Epoch: [58][520/14090]	Time 0.764 (0.777)	Data 0.001 (0.011)	Loss 1.8660 (2.1388)	Prec@1 51.562 (45.891)	Prec@5 82.031 (76.249)
Epoch: [58][530/14090]	Time 0.746 (0.777)	Data 0.001 (0.011)	Loss 2.1676 (2.1392)	Prec@1 48.438 (45.877)	Prec@5 73.438 (76.220)
Epoch: [58][540/14090]	Time 0.751 (0.777)	Data 0.001 (0.011)	Loss 2.0404 (2.1388)	Prec@1 46.875 (45.874)	Prec@5 77.344 (76.213)
Epoch: [58][550/14090]	Time 0.743 (0.777)	Data 0.001 (0.011)	Loss 2.2036 (2.1386)	Prec@1 41.406 (45.878)	Prec@5 75.000 (76.214)
Epoch: [58][560/14090]	Time 0.741 (0.777)	Data 0.001 (0.010)	Loss 2.2670 (2.1391)	Prec@1 42.969 (45.851)	Prec@5 75.000 (76.207)
Epoch: [58][570/14090]	Time 0.736 (0.777)	Data 0.001 (0.010)	Loss 2.3283 (2.1388)	Prec@1 46.094 (45.852)	Prec@5 77.344 (76.230)
Epoch: [58][580/14090]	Time 0.870 (0.777)	Data 0.001 (0.010)	Loss 2.0507 (2.1387)	Prec@1 48.438 (45.836)	Prec@5 80.469 (76.218)
Epoch: [58][590/14090]	Time 0.735 (0.776)	Data 0.001 (0.010)	Loss 2.4649 (2.1380)	Prec@1 42.969 (45.870)	Prec@5 75.781 (76.240)
Epoch: [58][600/14090]	Time 0.753 (0.776)	Data 0.001 (0.010)	Loss 2.2138 (2.1370)	Prec@1 44.531 (45.857)	Prec@5 75.781 (76.261)
Epoch: [58][610/14090]	Time 0.735 (0.776)	Data 0.001 (0.010)	Loss 2.3635 (2.1384)	Prec@1 39.062 (45.816)	Prec@5 74.219 (76.216)
Epoch: [58][620/14090]	Time 0.735 (0.776)	Data 0.001 (0.009)	Loss 2.2399 (2.1387)	Prec@1 41.406 (45.799)	Prec@5 72.656 (76.222)
Epoch: [58][630/14090]	Time 0.729 (0.776)	Data 0.001 (0.009)	Loss 2.3542 (2.1392)	Prec@1 45.312 (45.788)	Prec@5 69.531 (76.213)
Epoch: [58][640/14090]	Time 0.742 (0.775)	Data 0.001 (0.009)	Loss 1.9879 (2.1400)	Prec@1 46.094 (45.784)	Prec@5 77.344 (76.205)
Epoch: [58][650/14090]	Time 0.847 (0.775)	Data 0.001 (0.009)	Loss 1.9499 (2.1390)	Prec@1 54.688 (45.814)	Prec@5 78.906 (76.220)
Epoch: [58][660/14090]	Time 0.742 (0.775)	Data 0.001 (0.009)	Loss 1.8028 (2.1374)	Prec@1 50.781 (45.848)	Prec@5 82.031 (76.255)
Epoch: [58][670/14090]	Time 0.766 (0.775)	Data 0.001 (0.009)	Loss 2.2480 (2.1370)	Prec@1 42.969 (45.838)	Prec@5 71.875 (76.261)
Epoch: [58][680/14090]	Time 0.744 (0.775)	Data 0.001 (0.009)	Loss 2.1122 (2.1365)	Prec@1 46.094 (45.852)	Prec@5 77.344 (76.271)
Epoch: [58][690/14090]	Time 0.739 (0.775)	Data 0.001 (0.009)	Loss 2.4046 (2.1363)	Prec@1 37.500 (45.857)	Prec@5 73.438 (76.262)
Epoch: [58][700/14090]	Time 0.731 (0.775)	Data 0.001 (0.008)	Loss 1.9534 (2.1361)	Prec@1 51.562 (45.852)	Prec@5 77.344 (76.262)
Epoch: [58][710/14090]	Time 0.727 (0.775)	Data 0.001 (0.008)	Loss 2.0675 (2.1369)	Prec@1 48.438 (45.831)	Prec@5 78.125 (76.260)
Epoch: [58][720/14090]	Time 0.884 (0.775)	Data 0.001 (0.008)	Loss 2.2752 (2.1359)	Prec@1 43.750 (45.842)	Prec@5 76.562 (76.279)
Epoch: [58][730/14090]	Time 0.734 (0.774)	Data 0.001 (0.008)	Loss 2.2217 (2.1370)	Prec@1 46.875 (45.802)	Prec@5 77.344 (76.281)
Epoch: [58][740/14090]	Time 0.750 (0.774)	Data 0.001 (0.008)	Loss 2.1558 (2.1368)	Prec@1 49.219 (45.800)	Prec@5 73.438 (76.305)
Epoch: [58][750/14090]	Time 0.757 (0.774)	Data 0.001 (0.008)	Loss 2.3783 (2.1366)	Prec@1 40.625 (45.798)	Prec@5 67.969 (76.299)
Epoch: [58][760/14090]	Time 0.738 (0.774)	Data 0.001 (0.008)	Loss 2.1451 (2.1371)	Prec@1 47.656 (45.799)	Prec@5 76.562 (76.282)
Epoch: [58][770/14090]	Time 0.720 (0.774)	Data 0.001 (0.008)	Loss 2.1017 (2.1378)	Prec@1 45.312 (45.796)	Prec@5 76.562 (76.272)
Epoch: [58][780/14090]	Time 0.746 (0.774)	Data 0.001 (0.008)	Loss 1.9175 (2.1383)	Prec@1 51.562 (45.786)	Prec@5 79.688 (76.267)
Epoch: [58][790/14090]	Time 0.936 (0.774)	Data 0.001 (0.008)	Loss 2.1692 (2.1376)	Prec@1 44.531 (45.795)	Prec@5 74.219 (76.288)
Epoch: [58][800/14090]	Time 0.764 (0.774)	Data 0.001 (0.008)	Loss 2.1048 (2.1374)	Prec@1 47.656 (45.810)	Prec@5 75.781 (76.297)
Epoch: [58][810/14090]	Time 0.751 (0.774)	Data 0.001 (0.007)	Loss 1.9283 (2.1382)	Prec@1 47.656 (45.780)	Prec@5 78.125 (76.279)
Epoch: [58][820/14090]	Time 0.747 (0.774)	Data 0.001 (0.007)	Loss 1.9208 (2.1389)	Prec@1 46.875 (45.765)	Prec@5 80.469 (76.270)
Epoch: [58][830/14090]	Time 0.733 (0.774)	Data 0.001 (0.007)	Loss 2.3678 (2.1388)	Prec@1 43.750 (45.752)	Prec@5 72.656 (76.276)
Epoch: [58][840/14090]	Time 0.734 (0.774)	Data 0.001 (0.007)	Loss 2.0438 (2.1381)	Prec@1 50.781 (45.771)	Prec@5 79.688 (76.302)
Epoch: [58][850/14090]	Time 0.753 (0.774)	Data 0.001 (0.007)	Loss 2.1819 (2.1390)	Prec@1 49.219 (45.753)	Prec@5 78.906 (76.294)
Epoch: [58][860/14090]	Time 0.881 (0.774)	Data 0.001 (0.007)	Loss 2.0663 (2.1388)	Prec@1 48.438 (45.751)	Prec@5 78.906 (76.298)
Epoch: [58][870/14090]	Time 0.749 (0.774)	Data 0.001 (0.007)	Loss 2.0318 (2.1384)	Prec@1 50.000 (45.769)	Prec@5 78.906 (76.313)
Epoch: [58][880/14090]	Time 0.755 (0.773)	Data 0.001 (0.007)	Loss 2.0959 (2.1387)	Prec@1 44.531 (45.776)	Prec@5 80.469 (76.312)
Epoch: [58][890/14090]	Time 0.745 (0.773)	Data 0.001 (0.007)	Loss 2.1244 (2.1377)	Prec@1 48.438 (45.786)	Prec@5 79.688 (76.316)
Epoch: [58][900/14090]	Time 0.742 (0.773)	Data 0.001 (0.007)	Loss 2.0461 (2.1373)	Prec@1 45.312 (45.785)	Prec@5 78.906 (76.338)
Epoch: [58][910/14090]	Time 0.753 (0.773)	Data 0.001 (0.007)	Loss 2.1389 (2.1376)	Prec@1 44.531 (45.782)	Prec@5 76.562 (76.322)
Epoch: [58][920/14090]	Time 0.760 (0.773)	Data 0.001 (0.007)	Loss 2.3725 (2.1385)	Prec@1 45.312 (45.771)	Prec@5 70.312 (76.298)
Epoch: [58][930/14090]	Time 0.854 (0.773)	Data 0.001 (0.007)	Loss 2.2492 (2.1391)	Prec@1 46.094 (45.775)	Prec@5 72.656 (76.281)
Epoch: [58][940/14090]	Time 0.755 (0.773)	Data 0.001 (0.007)	Loss 2.2230 (2.1380)	Prec@1 42.188 (45.785)	Prec@5 77.344 (76.298)
Epoch: [58][950/14090]	Time 0.725 (0.773)	Data 0.001 (0.006)	Loss 2.0142 (2.1370)	Prec@1 50.000 (45.806)	Prec@5 77.344 (76.315)
Epoch: [58][960/14090]	Time 0.740 (0.773)	Data 0.001 (0.006)	Loss 2.1338 (2.1377)	Prec@1 49.219 (45.827)	Prec@5 78.906 (76.310)
Epoch: [58][970/14090]	Time 0.750 (0.773)	Data 0.001 (0.006)	Loss 2.1485 (2.1383)	Prec@1 43.750 (45.818)	Prec@5 77.344 (76.304)
Epoch: [58][980/14090]	Time 0.763 (0.773)	Data 0.001 (0.006)	Loss 2.2690 (2.1391)	Prec@1 42.188 (45.802)	Prec@5 70.312 (76.299)
Epoch: [58][990/14090]	Time 0.782 (0.773)	Data 0.001 (0.006)	Loss 2.0320 (2.1390)	Prec@1 49.219 (45.797)	Prec@5 84.375 (76.308)
Epoch: [58][1000/14090]	Time 0.899 (0.773)	Data 0.001 (0.006)	Loss 2.3768 (2.1389)	Prec@1 44.531 (45.796)	Prec@5 71.875 (76.309)
Epoch: [58][1010/14090]	Time 0.777 (0.773)	Data 0.001 (0.006)	Loss 2.3262 (2.1390)	Prec@1 43.750 (45.793)	Prec@5 68.750 (76.305)
Epoch: [58][1020/14090]	Time 0.754 (0.773)	Data 0.001 (0.006)	Loss 2.0007 (2.1389)	Prec@1 44.531 (45.808)	Prec@5 79.688 (76.299)
Epoch: [58][1030/14090]	Time 0.737 (0.773)	Data 0.001 (0.006)	Loss 2.5230 (2.1394)	Prec@1 38.281 (45.812)	Prec@5 68.750 (76.303)
Epoch: [58][1040/14090]	Time 0.730 (0.773)	Data 0.001 (0.006)	Loss 2.3504 (2.1391)	Prec@1 42.188 (45.819)	Prec@5 72.656 (76.319)
Epoch: [58][1050/14090]	Time 0.730 (0.773)	Data 0.001 (0.006)	Loss 2.1414 (2.1402)	Prec@1 50.781 (45.802)	Prec@5 76.562 (76.294)
Epoch: [58][1060/14090]	Time 0.740 (0.773)	Data 0.001 (0.006)	Loss 2.1119 (2.1410)	Prec@1 42.969 (45.770)	Prec@5 78.906 (76.279)
Epoch: [58][1070/14090]	Time 0.880 (0.773)	Data 0.001 (0.006)	Loss 2.1412 (2.1416)	Prec@1 44.531 (45.763)	Prec@5 73.438 (76.255)
Epoch: [58][1080/14090]	Time 0.745 (0.773)	Data 0.001 (0.006)	Loss 2.1807 (2.1424)	Prec@1 39.844 (45.743)	Prec@5 75.781 (76.243)
Epoch: [58][1090/14090]	Time 0.759 (0.773)	Data 0.001 (0.006)	Loss 2.0272 (2.1418)	Prec@1 52.344 (45.756)	Prec@5 77.344 (76.270)
Epoch: [58][1100/14090]	Time 0.741 (0.773)	Data 0.001 (0.006)	Loss 1.8435 (2.1416)	Prec@1 51.562 (45.738)	Prec@5 78.125 (76.274)
Epoch: [58][1110/14090]	Time 0.734 (0.773)	Data 0.001 (0.006)	Loss 2.0808 (2.1413)	Prec@1 47.656 (45.740)	Prec@5 79.688 (76.278)
Epoch: [58][1120/14090]	Time 0.733 (0.773)	Data 0.001 (0.006)	Loss 2.2728 (2.1415)	Prec@1 44.531 (45.738)	Prec@5 71.094 (76.272)
Epoch: [58][1130/14090]	Time 0.794 (0.772)	Data 0.001 (0.006)	Loss 2.1541 (2.1421)	Prec@1 44.531 (45.728)	Prec@5 74.219 (76.259)
Epoch: [58][1140/14090]	Time 0.876 (0.772)	Data 0.001 (0.006)	Loss 2.3552 (2.1430)	Prec@1 44.531 (45.714)	Prec@5 74.219 (76.253)
Epoch: [58][1150/14090]	Time 0.740 (0.773)	Data 0.001 (0.006)	Loss 2.1014 (2.1438)	Prec@1 44.531 (45.690)	Prec@5 77.344 (76.249)
Epoch: [58][1160/14090]	Time 0.781 (0.772)	Data 0.001 (0.005)	Loss 2.1159 (2.1441)	Prec@1 49.219 (45.683)	Prec@5 75.781 (76.237)
Epoch: [58][1170/14090]	Time 0.738 (0.773)	Data 0.001 (0.005)	Loss 2.4372 (2.1450)	Prec@1 37.500 (45.661)	Prec@5 75.781 (76.220)
Epoch: [58][1180/14090]	Time 0.763 (0.773)	Data 0.001 (0.005)	Loss 1.9812 (2.1453)	Prec@1 46.094 (45.653)	Prec@5 79.688 (76.211)
Epoch: [58][1190/14090]	Time 0.769 (0.773)	Data 0.001 (0.005)	Loss 1.8588 (2.1446)	Prec@1 55.469 (45.681)	Prec@5 74.219 (76.214)
Epoch: [58][1200/14090]	Time 0.751 (0.772)	Data 0.001 (0.005)	Loss 1.8277 (2.1445)	Prec@1 47.656 (45.681)	Prec@5 82.812 (76.214)
Epoch: [58][1210/14090]	Time 0.869 (0.773)	Data 0.001 (0.005)	Loss 2.2825 (2.1440)	Prec@1 44.531 (45.696)	Prec@5 73.438 (76.226)
Epoch: [58][1220/14090]	Time 0.756 (0.772)	Data 0.001 (0.005)	Loss 2.0884 (2.1443)	Prec@1 44.531 (45.694)	Prec@5 82.812 (76.226)
Epoch: [58][1230/14090]	Time 0.723 (0.772)	Data 0.001 (0.005)	Loss 2.2080 (2.1445)	Prec@1 46.875 (45.693)	Prec@5 74.219 (76.224)
Epoch: [58][1240/14090]	Time 0.739 (0.772)	Data 0.001 (0.005)	Loss 2.0987 (2.1452)	Prec@1 44.531 (45.678)	Prec@5 75.000 (76.204)
Epoch: [58][1250/14090]	Time 0.767 (0.772)	Data 0.001 (0.005)	Loss 2.0132 (2.1446)	Prec@1 46.875 (45.692)	Prec@5 81.250 (76.225)
Epoch: [58][1260/14090]	Time 0.736 (0.772)	Data 0.001 (0.005)	Loss 2.4401 (2.1441)	Prec@1 40.625 (45.697)	Prec@5 75.000 (76.231)
Epoch: [58][1270/14090]	Time 0.738 (0.772)	Data 0.001 (0.005)	Loss 2.4104 (2.1443)	Prec@1 35.938 (45.670)	Prec@5 71.875 (76.230)
Epoch: [58][1280/14090]	Time 0.890 (0.772)	Data 0.001 (0.005)	Loss 2.3511 (2.1451)	Prec@1 39.062 (45.669)	Prec@5 69.531 (76.225)
Epoch: [58][1290/14090]	Time 0.749 (0.772)	Data 0.001 (0.005)	Loss 2.0140 (2.1454)	Prec@1 46.094 (45.673)	Prec@5 82.031 (76.221)
Epoch: [58][1300/14090]	Time 0.736 (0.772)	Data 0.001 (0.005)	Loss 2.1121 (2.1453)	Prec@1 46.875 (45.672)	Prec@5 75.781 (76.214)
Epoch: [58][1310/14090]	Time 0.780 (0.772)	Data 0.001 (0.005)	Loss 2.3970 (2.1456)	Prec@1 42.969 (45.661)	Prec@5 72.656 (76.209)
Epoch: [58][1320/14090]	Time 0.756 (0.772)	Data 0.001 (0.005)	Loss 2.1870 (2.1461)	Prec@1 46.875 (45.648)	Prec@5 69.531 (76.202)
Epoch: [58][1330/14090]	Time 0.733 (0.772)	Data 0.002 (0.005)	Loss 1.9883 (2.1457)	Prec@1 47.656 (45.641)	Prec@5 77.344 (76.208)
Epoch: [58][1340/14090]	Time 0.761 (0.772)	Data 0.001 (0.005)	Loss 2.1758 (2.1461)	Prec@1 39.844 (45.627)	Prec@5 76.562 (76.193)
Epoch: [58][1350/14090]	Time 0.874 (0.772)	Data 0.001 (0.005)	Loss 1.9971 (2.1461)	Prec@1 50.781 (45.639)	Prec@5 78.125 (76.194)
Epoch: [58][1360/14090]	Time 0.742 (0.772)	Data 0.001 (0.005)	Loss 1.9363 (2.1465)	Prec@1 45.312 (45.635)	Prec@5 82.812 (76.189)
Epoch: [58][1370/14090]	Time 0.744 (0.772)	Data 0.001 (0.005)	Loss 2.2743 (2.1472)	Prec@1 40.625 (45.609)	Prec@5 70.312 (76.173)
Epoch: [58][1380/14090]	Time 0.742 (0.772)	Data 0.001 (0.005)	Loss 2.4639 (2.1475)	Prec@1 39.844 (45.590)	Prec@5 64.062 (76.171)
Epoch: [58][1390/14090]	Time 0.744 (0.772)	Data 0.001 (0.005)	Loss 2.3766 (2.1482)	Prec@1 42.969 (45.584)	Prec@5 72.656 (76.155)
Epoch: [58][1400/14090]	Time 0.734 (0.772)	Data 0.001 (0.005)	Loss 2.3181 (2.1484)	Prec@1 42.969 (45.580)	Prec@5 75.000 (76.158)
Epoch: [58][1410/14090]	Time 0.727 (0.772)	Data 0.001 (0.005)	Loss 2.2349 (2.1484)	Prec@1 39.062 (45.581)	Prec@5 75.781 (76.151)
Epoch: [58][1420/14090]	Time 0.867 (0.772)	Data 0.001 (0.005)	Loss 2.2011 (2.1482)	Prec@1 42.188 (45.574)	Prec@5 74.219 (76.157)
Epoch: [58][1430/14090]	Time 0.730 (0.772)	Data 0.001 (0.005)	Loss 1.9796 (2.1476)	Prec@1 52.344 (45.597)	Prec@5 81.250 (76.164)
Epoch: [58][1440/14090]	Time 0.743 (0.772)	Data 0.001 (0.005)	Loss 2.1200 (2.1476)	Prec@1 43.750 (45.591)	Prec@5 82.812 (76.162)
Epoch: [58][1450/14090]	Time 0.743 (0.772)	Data 0.001 (0.005)	Loss 1.9884 (2.1471)	Prec@1 47.656 (45.602)	Prec@5 76.562 (76.174)
Epoch: [58][1460/14090]	Time 0.738 (0.772)	Data 0.001 (0.005)	Loss 1.9424 (2.1473)	Prec@1 49.219 (45.598)	Prec@5 82.812 (76.175)
Epoch: [58][1470/14090]	Time 0.727 (0.772)	Data 0.001 (0.005)	Loss 2.1415 (2.1471)	Prec@1 46.094 (45.597)	Prec@5 78.906 (76.179)
Epoch: [58][1480/14090]	Time 0.732 (0.772)	Data 0.001 (0.004)	Loss 2.2070 (2.1469)	Prec@1 40.625 (45.591)	Prec@5 74.219 (76.182)
Epoch: [58][1490/14090]	Time 0.866 (0.772)	Data 0.001 (0.004)	Loss 2.3671 (2.1474)	Prec@1 38.281 (45.574)	Prec@5 68.750 (76.173)
Epoch: [58][1500/14090]	Time 0.759 (0.772)	Data 0.001 (0.004)	Loss 2.4953 (2.1483)	Prec@1 37.500 (45.546)	Prec@5 72.656 (76.158)
Epoch: [58][1510/14090]	Time 0.747 (0.772)	Data 0.001 (0.004)	Loss 2.1477 (2.1482)	Prec@1 50.000 (45.547)	Prec@5 78.125 (76.159)
Epoch: [58][1520/14090]	Time 0.766 (0.772)	Data 0.001 (0.004)	Loss 2.4442 (2.1485)	Prec@1 42.188 (45.544)	Prec@5 71.094 (76.152)
Epoch: [58][1530/14090]	Time 0.744 (0.772)	Data 0.001 (0.004)	Loss 1.8913 (2.1478)	Prec@1 50.000 (45.565)	Prec@5 79.688 (76.172)
Epoch: [58][1540/14090]	Time 0.758 (0.772)	Data 0.001 (0.004)	Loss 2.2853 (2.1483)	Prec@1 40.625 (45.556)	Prec@5 71.875 (76.158)
Epoch: [58][1550/14090]	Time 0.770 (0.772)	Data 0.001 (0.004)	Loss 2.0847 (2.1480)	Prec@1 42.188 (45.574)	Prec@5 76.562 (76.160)
Epoch: [58][1560/14090]	Time 0.857 (0.771)	Data 0.001 (0.004)	Loss 1.9615 (2.1479)	Prec@1 51.562 (45.583)	Prec@5 78.125 (76.160)
Epoch: [58][1570/14090]	Time 0.745 (0.771)	Data 0.001 (0.004)	Loss 1.9135 (2.1482)	Prec@1 53.125 (45.578)	Prec@5 80.469 (76.153)
Epoch: [58][1580/14090]	Time 0.736 (0.771)	Data 0.001 (0.004)	Loss 2.1941 (2.1481)	Prec@1 50.000 (45.590)	Prec@5 78.906 (76.159)
Epoch: [58][1590/14090]	Time 0.753 (0.771)	Data 0.001 (0.004)	Loss 2.5853 (2.1481)	Prec@1 36.719 (45.602)	Prec@5 63.281 (76.163)
Epoch: [58][1600/14090]	Time 0.741 (0.771)	Data 0.001 (0.004)	Loss 2.1199 (2.1483)	Prec@1 43.750 (45.594)	Prec@5 76.562 (76.157)
Epoch: [58][1610/14090]	Time 0.734 (0.771)	Data 0.001 (0.004)	Loss 1.9679 (2.1481)	Prec@1 49.219 (45.598)	Prec@5 78.125 (76.160)
Epoch: [58][1620/14090]	Time 0.769 (0.771)	Data 0.001 (0.004)	Loss 2.1155 (2.1481)	Prec@1 47.656 (45.601)	Prec@5 77.344 (76.162)
Epoch: [58][1630/14090]	Time 0.838 (0.771)	Data 0.001 (0.004)	Loss 2.3236 (2.1480)	Prec@1 46.094 (45.612)	Prec@5 75.781 (76.157)
Epoch: [58][1640/14090]	Time 0.742 (0.771)	Data 0.001 (0.004)	Loss 2.3441 (2.1485)	Prec@1 38.281 (45.608)	Prec@5 70.312 (76.139)
Epoch: [58][1650/14090]	Time 0.789 (0.771)	Data 0.001 (0.004)	Loss 2.1234 (2.1483)	Prec@1 44.531 (45.611)	Prec@5 78.906 (76.156)
Epoch: [58][1660/14090]	Time 0.761 (0.771)	Data 0.001 (0.004)	Loss 2.2609 (2.1493)	Prec@1 45.312 (45.593)	Prec@5 74.219 (76.144)
Epoch: [58][1670/14090]	Time 0.764 (0.771)	Data 0.001 (0.004)	Loss 2.0428 (2.1493)	Prec@1 50.781 (45.598)	Prec@5 75.000 (76.153)
Epoch: [58][1680/14090]	Time 0.734 (0.771)	Data 0.001 (0.004)	Loss 2.1882 (2.1491)	Prec@1 46.094 (45.604)	Prec@5 75.000 (76.161)
Epoch: [58][1690/14090]	Time 0.730 (0.771)	Data 0.001 (0.004)	Loss 2.3355 (2.1492)	Prec@1 46.094 (45.608)	Prec@5 70.312 (76.156)
Epoch: [58][1700/14090]	Time 0.844 (0.771)	Data 0.001 (0.004)	Loss 2.0917 (2.1497)	Prec@1 46.875 (45.595)	Prec@5 77.344 (76.143)
Epoch: [58][1710/14090]	Time 0.755 (0.771)	Data 0.001 (0.004)	Loss 2.3660 (2.1500)	Prec@1 42.969 (45.589)	Prec@5 70.312 (76.128)
Epoch: [58][1720/14090]	Time 0.785 (0.771)	Data 0.001 (0.004)	Loss 1.9901 (2.1491)	Prec@1 48.438 (45.604)	Prec@5 80.469 (76.138)
Epoch: [58][1730/14090]	Time 0.736 (0.771)	Data 0.001 (0.004)	Loss 2.2057 (2.1495)	Prec@1 36.719 (45.596)	Prec@5 77.344 (76.133)
Epoch: [58][1740/14090]	Time 0.758 (0.771)	Data 0.001 (0.004)	Loss 2.0491 (2.1493)	Prec@1 50.781 (45.601)	Prec@5 76.562 (76.136)
Epoch: [58][1750/14090]	Time 0.729 (0.771)	Data 0.001 (0.004)	Loss 1.7194 (2.1490)	Prec@1 54.688 (45.613)	Prec@5 82.812 (76.144)
Epoch: [58][1760/14090]	Time 0.734 (0.771)	Data 0.003 (0.004)	Loss 2.0495 (2.1493)	Prec@1 50.781 (45.600)	Prec@5 78.125 (76.143)
Epoch: [58][1770/14090]	Time 0.888 (0.771)	Data 0.002 (0.004)	Loss 1.8394 (2.1488)	Prec@1 53.125 (45.606)	Prec@5 78.906 (76.147)
Epoch: [58][1780/14090]	Time 0.762 (0.771)	Data 0.001 (0.004)	Loss 1.8902 (2.1487)	Prec@1 50.000 (45.601)	Prec@5 80.469 (76.153)
Epoch: [58][1790/14090]	Time 0.736 (0.771)	Data 0.001 (0.004)	Loss 2.2526 (2.1482)	Prec@1 43.750 (45.612)	Prec@5 75.781 (76.168)
Epoch: [58][1800/14090]	Time 0.752 (0.771)	Data 0.001 (0.004)	Loss 1.9240 (2.1479)	Prec@1 50.000 (45.614)	Prec@5 82.031 (76.166)
Epoch: [58][1810/14090]	Time 0.737 (0.771)	Data 0.001 (0.004)	Loss 2.0142 (2.1473)	Prec@1 46.875 (45.619)	Prec@5 78.125 (76.177)
Epoch: [58][1820/14090]	Time 0.740 (0.771)	Data 0.001 (0.004)	Loss 2.0859 (2.1473)	Prec@1 47.656 (45.624)	Prec@5 74.219 (76.176)
Epoch: [58][1830/14090]	Time 0.766 (0.771)	Data 0.001 (0.004)	Loss 2.0454 (2.1476)	Prec@1 53.125 (45.635)	Prec@5 77.344 (76.167)
Epoch: [58][1840/14090]	Time 0.869 (0.771)	Data 0.001 (0.004)	Loss 2.0089 (2.1472)	Prec@1 50.000 (45.644)	Prec@5 75.781 (76.170)
Epoch: [58][1850/14090]	Time 0.755 (0.771)	Data 0.001 (0.004)	Loss 1.9844 (2.1468)	Prec@1 49.219 (45.651)	Prec@5 78.125 (76.165)
Epoch: [58][1860/14090]	Time 0.749 (0.771)	Data 0.001 (0.004)	Loss 2.2306 (2.1464)	Prec@1 41.406 (45.655)	Prec@5 74.219 (76.168)
Epoch: [58][1870/14090]	Time 0.761 (0.771)	Data 0.001 (0.004)	Loss 1.9421 (2.1463)	Prec@1 46.094 (45.656)	Prec@5 80.469 (76.173)
Epoch: [58][1880/14090]	Time 0.727 (0.771)	Data 0.001 (0.004)	Loss 2.1484 (2.1460)	Prec@1 42.188 (45.661)	Prec@5 75.781 (76.177)
Epoch: [58][1890/14090]	Time 0.767 (0.771)	Data 0.001 (0.004)	Loss 2.1710 (2.1462)	Prec@1 42.969 (45.658)	Prec@5 78.125 (76.168)
Epoch: [58][1900/14090]	Time 0.747 (0.771)	Data 0.001 (0.004)	Loss 2.2950 (2.1460)	Prec@1 42.188 (45.666)	Prec@5 71.094 (76.165)
Epoch: [58][1910/14090]	Time 0.888 (0.771)	Data 0.001 (0.004)	Loss 1.9724 (2.1465)	Prec@1 50.000 (45.649)	Prec@5 82.031 (76.157)
Epoch: [58][1920/14090]	Time 0.728 (0.771)	Data 0.001 (0.004)	Loss 2.2019 (2.1468)	Prec@1 46.094 (45.647)	Prec@5 75.781 (76.153)
Epoch: [58][1930/14090]	Time 0.745 (0.771)	Data 0.001 (0.004)	Loss 2.0149 (2.1465)	Prec@1 47.656 (45.648)	Prec@5 80.469 (76.157)
Epoch: [58][1940/14090]	Time 0.758 (0.771)	Data 0.001 (0.004)	Loss 2.0290 (2.1465)	Prec@1 44.531 (45.639)	Prec@5 80.469 (76.162)
Epoch: [58][1950/14090]	Time 0.739 (0.771)	Data 0.001 (0.004)	Loss 1.9333 (2.1462)	Prec@1 50.000 (45.646)	Prec@5 85.938 (76.176)
Epoch: [58][1960/14090]	Time 0.749 (0.771)	Data 0.001 (0.004)	Loss 2.0808 (2.1460)	Prec@1 52.344 (45.655)	Prec@5 77.344 (76.175)
Epoch: [58][1970/14090]	Time 0.753 (0.771)	Data 0.001 (0.004)	Loss 2.0054 (2.1457)	Prec@1 53.125 (45.663)	Prec@5 80.469 (76.186)
Epoch: [58][1980/14090]	Time 0.911 (0.771)	Data 0.001 (0.004)	Loss 2.0350 (2.1455)	Prec@1 50.000 (45.665)	Prec@5 78.906 (76.184)
Epoch: [58][1990/14090]	Time 0.768 (0.771)	Data 0.001 (0.004)	Loss 2.0278 (2.1450)	Prec@1 49.219 (45.682)	Prec@5 75.781 (76.190)
Epoch: [58][2000/14090]	Time 0.746 (0.771)	Data 0.001 (0.004)	Loss 2.1619 (2.1453)	Prec@1 45.312 (45.686)	Prec@5 78.125 (76.182)
Epoch: [58][2010/14090]	Time 0.741 (0.771)	Data 0.001 (0.004)	Loss 2.5190 (2.1456)	Prec@1 35.156 (45.678)	Prec@5 67.188 (76.179)
Epoch: [58][2020/14090]	Time 0.764 (0.771)	Data 0.001 (0.004)	Loss 1.9964 (2.1459)	Prec@1 50.000 (45.671)	Prec@5 75.781 (76.170)
Epoch: [58][2030/14090]	Time 0.762 (0.771)	Data 0.001 (0.004)	Loss 2.3265 (2.1459)	Prec@1 42.188 (45.672)	Prec@5 72.656 (76.161)
Epoch: [58][2040/14090]	Time 0.758 (0.771)	Data 0.001 (0.004)	Loss 2.1201 (2.1461)	Prec@1 42.969 (45.679)	Prec@5 78.906 (76.163)
Epoch: [58][2050/14090]	Time 0.900 (0.771)	Data 0.001 (0.003)	Loss 2.2499 (2.1462)	Prec@1 42.969 (45.679)	Prec@5 78.125 (76.161)
Epoch: [58][2060/14090]	Time 0.736 (0.771)	Data 0.001 (0.003)	Loss 2.1551 (2.1457)	Prec@1 44.531 (45.686)	Prec@5 78.125 (76.175)
Epoch: [58][2070/14090]	Time 0.765 (0.771)	Data 0.001 (0.003)	Loss 2.1198 (2.1455)	Prec@1 43.750 (45.697)	Prec@5 75.781 (76.176)
Epoch: [58][2080/14090]	Time 0.750 (0.771)	Data 0.001 (0.003)	Loss 2.2577 (2.1452)	Prec@1 41.406 (45.703)	Prec@5 75.000 (76.181)
Epoch: [58][2090/14090]	Time 0.735 (0.771)	Data 0.001 (0.003)	Loss 2.0887 (2.1449)	Prec@1 46.094 (45.709)	Prec@5 75.781 (76.180)
Epoch: [58][2100/14090]	Time 0.769 (0.771)	Data 0.001 (0.003)	Loss 2.0832 (2.1450)	Prec@1 46.875 (45.709)	Prec@5 78.125 (76.178)
Epoch: [58][2110/14090]	Time 0.755 (0.771)	Data 0.001 (0.003)	Loss 2.2715 (2.1458)	Prec@1 42.969 (45.688)	Prec@5 75.781 (76.168)
Epoch: [58][2120/14090]	Time 0.875 (0.771)	Data 0.001 (0.003)	Loss 1.8278 (2.1454)	Prec@1 50.000 (45.692)	Prec@5 83.594 (76.179)
Epoch: [58][2130/14090]	Time 0.755 (0.771)	Data 0.001 (0.003)	Loss 2.2610 (2.1455)	Prec@1 48.438 (45.692)	Prec@5 74.219 (76.183)
Epoch: [58][2140/14090]	Time 0.739 (0.770)	Data 0.001 (0.003)	Loss 1.9437 (2.1452)	Prec@1 49.219 (45.696)	Prec@5 80.469 (76.198)
Epoch: [58][2150/14090]	Time 0.724 (0.771)	Data 0.001 (0.003)	Loss 2.0674 (2.1456)	Prec@1 48.438 (45.693)	Prec@5 76.562 (76.184)
Epoch: [58][2160/14090]	Time 0.766 (0.770)	Data 0.001 (0.003)	Loss 2.3666 (2.1454)	Prec@1 42.188 (45.691)	Prec@5 71.875 (76.187)
Epoch: [58][2170/14090]	Time 0.752 (0.770)	Data 0.001 (0.003)	Loss 2.1627 (2.1455)	Prec@1 42.188 (45.680)	Prec@5 77.344 (76.188)
Epoch: [58][2180/14090]	Time 0.753 (0.770)	Data 0.001 (0.003)	Loss 2.1384 (2.1458)	Prec@1 47.656 (45.673)	Prec@5 77.344 (76.181)
Epoch: [58][2190/14090]	Time 0.875 (0.770)	Data 0.001 (0.003)	Loss 2.0684 (2.1457)	Prec@1 42.969 (45.677)	Prec@5 77.344 (76.180)
Epoch: [58][2200/14090]	Time 0.774 (0.770)	Data 0.001 (0.003)	Loss 1.9707 (2.1457)	Prec@1 46.094 (45.673)	Prec@5 85.156 (76.183)
Epoch: [58][2210/14090]	Time 0.735 (0.770)	Data 0.001 (0.003)	Loss 1.9860 (2.1457)	Prec@1 50.781 (45.674)	Prec@5 77.344 (76.183)
Epoch: [58][2220/14090]	Time 0.725 (0.770)	Data 0.001 (0.003)	Loss 2.0512 (2.1458)	Prec@1 47.656 (45.662)	Prec@5 76.562 (76.178)
Epoch: [58][2230/14090]	Time 0.723 (0.770)	Data 0.001 (0.003)	Loss 1.9694 (2.1460)	Prec@1 52.344 (45.659)	Prec@5 78.125 (76.178)
Epoch: [58][2240/14090]	Time 0.754 (0.770)	Data 0.001 (0.003)	Loss 2.0403 (2.1458)	Prec@1 42.188 (45.663)	Prec@5 78.125 (76.185)
Epoch: [58][2250/14090]	Time 0.717 (0.770)	Data 0.001 (0.003)	Loss 2.0001 (2.1460)	Prec@1 53.125 (45.666)	Prec@5 78.906 (76.176)
Epoch: [58][2260/14090]	Time 0.886 (0.770)	Data 0.001 (0.003)	Loss 2.2818 (2.1467)	Prec@1 42.188 (45.650)	Prec@5 70.312 (76.168)
Epoch: [58][2270/14090]	Time 0.737 (0.770)	Data 0.001 (0.003)	Loss 2.2942 (2.1467)	Prec@1 43.750 (45.651)	Prec@5 75.781 (76.169)
Epoch: [58][2280/14090]	Time 0.740 (0.770)	Data 0.001 (0.003)	Loss 2.1296 (2.1467)	Prec@1 44.531 (45.653)	Prec@5 75.000 (76.172)
Epoch: [58][2290/14090]	Time 0.741 (0.770)	Data 0.001 (0.003)	Loss 2.0431 (2.1467)	Prec@1 41.406 (45.650)	Prec@5 78.906 (76.168)
Epoch: [58][2300/14090]	Time 0.752 (0.770)	Data 0.002 (0.003)	Loss 2.4755 (2.1468)	Prec@1 36.719 (45.644)	Prec@5 67.969 (76.163)
Epoch: [58][2310/14090]	Time 0.761 (0.770)	Data 0.001 (0.003)	Loss 2.3299 (2.1469)	Prec@1 43.750 (45.643)	Prec@5 71.094 (76.163)
Epoch: [58][2320/14090]	Time 0.735 (0.770)	Data 0.002 (0.003)	Loss 2.3424 (2.1472)	Prec@1 40.625 (45.637)	Prec@5 71.875 (76.156)
Epoch: [58][2330/14090]	Time 0.915 (0.770)	Data 0.001 (0.003)	Loss 2.2728 (2.1471)	Prec@1 39.844 (45.632)	Prec@5 73.438 (76.155)
Epoch: [58][2340/14090]	Time 0.736 (0.770)	Data 0.001 (0.003)	Loss 2.2372 (2.1472)	Prec@1 41.406 (45.630)	Prec@5 78.125 (76.154)
Epoch: [58][2350/14090]	Time 0.750 (0.770)	Data 0.001 (0.003)	Loss 2.2764 (2.1473)	Prec@1 44.531 (45.634)	Prec@5 71.094 (76.148)
Epoch: [58][2360/14090]	Time 0.737 (0.770)	Data 0.001 (0.003)	Loss 2.2096 (2.1474)	Prec@1 45.312 (45.634)	Prec@5 77.344 (76.154)
Epoch: [58][2370/14090]	Time 0.761 (0.770)	Data 0.001 (0.003)	Loss 1.7799 (2.1472)	Prec@1 54.688 (45.638)	Prec@5 82.812 (76.161)
Epoch: [58][2380/14090]	Time 0.732 (0.770)	Data 0.001 (0.003)	Loss 1.9677 (2.1473)	Prec@1 50.000 (45.629)	Prec@5 79.688 (76.159)
Epoch: [58][2390/14090]	Time 0.764 (0.770)	Data 0.001 (0.003)	Loss 1.9074 (2.1470)	Prec@1 51.562 (45.633)	Prec@5 81.250 (76.167)
Epoch: [58][2400/14090]	Time 0.882 (0.770)	Data 0.001 (0.003)	Loss 2.0565 (2.1466)	Prec@1 46.875 (45.646)	Prec@5 78.125 (76.180)
Epoch: [58][2410/14090]	Time 0.759 (0.770)	Data 0.001 (0.003)	Loss 2.2402 (2.1469)	Prec@1 40.625 (45.641)	Prec@5 72.656 (76.176)
Epoch: [58][2420/14090]	Time 0.771 (0.770)	Data 0.001 (0.003)	Loss 1.9978 (2.1466)	Prec@1 44.531 (45.644)	Prec@5 80.469 (76.187)
Epoch: [58][2430/14090]	Time 0.751 (0.770)	Data 0.001 (0.003)	Loss 1.8740 (2.1466)	Prec@1 53.906 (45.641)	Prec@5 77.344 (76.185)
Epoch: [58][2440/14090]	Time 0.735 (0.770)	Data 0.001 (0.003)	Loss 1.9315 (2.1468)	Prec@1 49.219 (45.633)	Prec@5 80.469 (76.180)
Epoch: [58][2450/14090]	Time 0.744 (0.770)	Data 0.001 (0.003)	Loss 2.3229 (2.1468)	Prec@1 42.188 (45.633)	Prec@5 71.094 (76.173)
Epoch: [58][2460/14090]	Time 0.761 (0.770)	Data 0.001 (0.003)	Loss 1.9485 (2.1468)	Prec@1 51.562 (45.632)	Prec@5 82.031 (76.168)
Epoch: [58][2470/14090]	Time 0.848 (0.770)	Data 0.001 (0.003)	Loss 1.9870 (2.1468)	Prec@1 47.656 (45.632)	Prec@5 75.781 (76.168)
Epoch: [58][2480/14090]	Time 0.738 (0.770)	Data 0.001 (0.003)	Loss 2.4221 (2.1466)	Prec@1 40.625 (45.638)	Prec@5 69.531 (76.170)
Epoch: [58][2490/14090]	Time 0.742 (0.770)	Data 0.001 (0.003)	Loss 1.8959 (2.1464)	Prec@1 53.125 (45.639)	Prec@5 78.125 (76.171)
Epoch: [58][2500/14090]	Time 0.726 (0.770)	Data 0.001 (0.003)	Loss 2.4191 (2.1462)	Prec@1 40.625 (45.642)	Prec@5 74.219 (76.172)
Epoch: [58][2510/14090]	Time 0.742 (0.770)	Data 0.001 (0.003)	Loss 2.3444 (2.1463)	Prec@1 45.312 (45.647)	Prec@5 71.094 (76.169)
Epoch: [58][2520/14090]	Time 0.733 (0.770)	Data 0.001 (0.003)	Loss 2.0717 (2.1463)	Prec@1 46.094 (45.637)	Prec@5 76.562 (76.169)
Epoch: [58][2530/14090]	Time 0.731 (0.770)	Data 0.001 (0.003)	Loss 1.8950 (2.1462)	Prec@1 50.000 (45.633)	Prec@5 85.156 (76.171)
Epoch: [58][2540/14090]	Time 0.902 (0.770)	Data 0.001 (0.003)	Loss 2.0268 (2.1459)	Prec@1 47.656 (45.638)	Prec@5 82.031 (76.179)
Epoch: [58][2550/14090]	Time 0.757 (0.770)	Data 0.001 (0.003)	Loss 2.0660 (2.1460)	Prec@1 46.875 (45.639)	Prec@5 72.656 (76.179)
Epoch: [58][2560/14090]	Time 0.767 (0.770)	Data 0.001 (0.003)	Loss 2.4046 (2.1461)	Prec@1 43.750 (45.640)	Prec@5 71.875 (76.178)
Epoch: [58][2570/14090]	Time 0.771 (0.770)	Data 0.001 (0.003)	Loss 2.0078 (2.1461)	Prec@1 47.656 (45.639)	Prec@5 76.562 (76.178)
Epoch: [58][2580/14090]	Time 0.762 (0.770)	Data 0.001 (0.003)	Loss 2.3199 (2.1460)	Prec@1 42.969 (45.637)	Prec@5 75.000 (76.178)
Epoch: [58][2590/14090]	Time 0.739 (0.770)	Data 0.001 (0.003)	Loss 2.2250 (2.1461)	Prec@1 46.094 (45.633)	Prec@5 75.000 (76.179)
Epoch: [58][2600/14090]	Time 0.747 (0.770)	Data 0.001 (0.003)	Loss 2.3265 (2.1463)	Prec@1 39.062 (45.631)	Prec@5 74.219 (76.174)
Epoch: [58][2610/14090]	Time 0.882 (0.770)	Data 0.001 (0.003)	Loss 2.2949 (2.1461)	Prec@1 38.281 (45.626)	Prec@5 70.312 (76.175)
Epoch: [58][2620/14090]	Time 0.726 (0.770)	Data 0.001 (0.003)	Loss 1.9586 (2.1460)	Prec@1 46.094 (45.634)	Prec@5 82.812 (76.177)
Epoch: [58][2630/14090]	Time 0.721 (0.770)	Data 0.001 (0.003)	Loss 2.2841 (2.1466)	Prec@1 43.750 (45.620)	Prec@5 77.344 (76.167)
Epoch: [58][2640/14090]	Time 0.727 (0.770)	Data 0.001 (0.003)	Loss 2.4482 (2.1468)	Prec@1 40.625 (45.623)	Prec@5 67.969 (76.158)
Epoch: [58][2650/14090]	Time 0.739 (0.770)	Data 0.001 (0.003)	Loss 2.3036 (2.1466)	Prec@1 42.188 (45.623)	Prec@5 73.438 (76.161)
Epoch: [58][2660/14090]	Time 0.727 (0.770)	Data 0.001 (0.003)	Loss 2.0952 (2.1466)	Prec@1 50.000 (45.622)	Prec@5 78.125 (76.165)
Epoch: [58][2670/14090]	Time 0.745 (0.770)	Data 0.001 (0.003)	Loss 2.2126 (2.1467)	Prec@1 44.531 (45.626)	Prec@5 75.781 (76.167)
Epoch: [58][2680/14090]	Time 0.872 (0.770)	Data 0.001 (0.003)	Loss 2.2401 (2.1468)	Prec@1 48.438 (45.627)	Prec@5 75.000 (76.165)
Epoch: [58][2690/14090]	Time 0.760 (0.770)	Data 0.001 (0.003)	Loss 1.7221 (2.1467)	Prec@1 50.000 (45.623)	Prec@5 81.250 (76.171)
Epoch: [58][2700/14090]	Time 0.741 (0.770)	Data 0.001 (0.003)	Loss 2.2006 (2.1466)	Prec@1 42.969 (45.626)	Prec@5 75.781 (76.175)
Epoch: [58][2710/14090]	Time 0.760 (0.770)	Data 0.001 (0.003)	Loss 2.1623 (2.1464)	Prec@1 44.531 (45.628)	Prec@5 78.125 (76.182)
Epoch: [58][2720/14090]	Time 0.744 (0.770)	Data 0.001 (0.003)	Loss 2.1778 (2.1466)	Prec@1 45.312 (45.625)	Prec@5 77.344 (76.179)
Epoch: [58][2730/14090]	Time 0.769 (0.770)	Data 0.001 (0.003)	Loss 2.1295 (2.1463)	Prec@1 44.531 (45.631)	Prec@5 75.000 (76.182)
Epoch: [58][2740/14090]	Time 0.754 (0.770)	Data 0.001 (0.003)	Loss 2.2219 (2.1466)	Prec@1 42.188 (45.632)	Prec@5 74.219 (76.179)
Epoch: [58][2750/14090]	Time 0.844 (0.770)	Data 0.001 (0.003)	Loss 1.9263 (2.1466)	Prec@1 46.875 (45.631)	Prec@5 79.688 (76.173)
Epoch: [58][2760/14090]	Time 0.750 (0.770)	Data 0.001 (0.003)	Loss 2.0571 (2.1467)	Prec@1 47.656 (45.624)	Prec@5 76.562 (76.172)
Epoch: [58][2770/14090]	Time 0.770 (0.770)	Data 0.001 (0.003)	Loss 2.2610 (2.1467)	Prec@1 46.094 (45.627)	Prec@5 71.094 (76.169)
Epoch: [58][2780/14090]	Time 0.730 (0.770)	Data 0.001 (0.003)	Loss 2.1519 (2.1469)	Prec@1 42.969 (45.622)	Prec@5 78.125 (76.168)
Epoch: [58][2790/14090]	Time 0.757 (0.770)	Data 0.001 (0.003)	Loss 1.9376 (2.1469)	Prec@1 50.000 (45.617)	Prec@5 82.812 (76.170)
Epoch: [58][2800/14090]	Time 0.750 (0.770)	Data 0.001 (0.003)	Loss 2.0911 (2.1470)	Prec@1 43.750 (45.615)	Prec@5 76.562 (76.166)
Epoch: [58][2810/14090]	Time 0.764 (0.770)	Data 0.001 (0.003)	Loss 2.0677 (2.1471)	Prec@1 51.562 (45.610)	Prec@5 78.125 (76.165)
Epoch: [58][2820/14090]	Time 0.900 (0.770)	Data 0.001 (0.003)	Loss 2.3074 (2.1471)	Prec@1 41.406 (45.609)	Prec@5 76.562 (76.164)
Epoch: [58][2830/14090]	Time 0.740 (0.770)	Data 0.001 (0.003)	Loss 2.1669 (2.1476)	Prec@1 43.750 (45.599)	Prec@5 74.219 (76.157)
Epoch: [58][2840/14090]	Time 0.781 (0.770)	Data 0.001 (0.003)	Loss 1.9572 (2.1473)	Prec@1 50.000 (45.605)	Prec@5 80.469 (76.159)
Epoch: [58][2850/14090]	Time 0.750 (0.770)	Data 0.001 (0.003)	Loss 2.2303 (2.1475)	Prec@1 48.438 (45.600)	Prec@5 71.875 (76.156)
Epoch: [58][2860/14090]	Time 0.750 (0.770)	Data 0.001 (0.003)	Loss 2.0169 (2.1477)	Prec@1 44.531 (45.589)	Prec@5 80.469 (76.157)
Epoch: [58][2870/14090]	Time 0.762 (0.770)	Data 0.001 (0.003)	Loss 2.2566 (2.1475)	Prec@1 42.969 (45.596)	Prec@5 76.562 (76.161)
Epoch: [58][2880/14090]	Time 0.758 (0.770)	Data 0.001 (0.003)	Loss 2.2676 (2.1477)	Prec@1 42.969 (45.595)	Prec@5 75.781 (76.158)
Epoch: [58][2890/14090]	Time 0.889 (0.770)	Data 0.001 (0.003)	Loss 1.9715 (2.1477)	Prec@1 53.906 (45.595)	Prec@5 78.906 (76.160)
Epoch: [58][2900/14090]	Time 0.734 (0.770)	Data 0.001 (0.003)	Loss 2.0305 (2.1475)	Prec@1 48.438 (45.596)	Prec@5 78.125 (76.166)
Epoch: [58][2910/14090]	Time 0.770 (0.770)	Data 0.001 (0.003)	Loss 2.4504 (2.1478)	Prec@1 35.156 (45.588)	Prec@5 70.312 (76.162)
Epoch: [58][2920/14090]	Time 0.763 (0.770)	Data 0.001 (0.003)	Loss 2.2218 (2.1476)	Prec@1 47.656 (45.591)	Prec@5 81.250 (76.166)
Epoch: [58][2930/14090]	Time 0.744 (0.770)	Data 0.001 (0.003)	Loss 2.2613 (2.1479)	Prec@1 42.969 (45.580)	Prec@5 73.438 (76.162)
Epoch: [58][2940/14090]	Time 0.767 (0.770)	Data 0.001 (0.003)	Loss 2.1642 (2.1478)	Prec@1 39.844 (45.575)	Prec@5 74.219 (76.160)
Epoch: [58][2950/14090]	Time 0.757 (0.770)	Data 0.001 (0.003)	Loss 2.2254 (2.1482)	Prec@1 46.094 (45.569)	Prec@5 76.562 (76.154)
Epoch: [58][2960/14090]	Time 0.982 (0.770)	Data 0.001 (0.003)	Loss 2.2020 (2.1483)	Prec@1 42.969 (45.569)	Prec@5 75.781 (76.158)
Epoch: [58][2970/14090]	Time 0.764 (0.770)	Data 0.001 (0.003)	Loss 1.9015 (2.1484)	Prec@1 51.562 (45.567)	Prec@5 79.688 (76.157)
Epoch: [58][2980/14090]	Time 0.760 (0.770)	Data 0.001 (0.003)	Loss 2.3686 (2.1487)	Prec@1 43.750 (45.563)	Prec@5 71.094 (76.151)
Epoch: [58][2990/14090]	Time 0.732 (0.770)	Data 0.002 (0.003)	Loss 2.0350 (2.1486)	Prec@1 43.750 (45.565)	Prec@5 75.781 (76.153)
Epoch: [58][3000/14090]	Time 0.737 (0.770)	Data 0.001 (0.003)	Loss 1.8301 (2.1486)	Prec@1 55.469 (45.569)	Prec@5 78.906 (76.146)
Epoch: [58][3010/14090]	Time 0.764 (0.770)	Data 0.001 (0.003)	Loss 1.7996 (2.1486)	Prec@1 50.000 (45.563)	Prec@5 82.031 (76.145)
Epoch: [58][3020/14090]	Time 0.741 (0.770)	Data 0.001 (0.003)	Loss 2.2683 (2.1486)	Prec@1 43.750 (45.562)	Prec@5 74.219 (76.146)
Epoch: [58][3030/14090]	Time 0.902 (0.770)	Data 0.001 (0.003)	Loss 2.1138 (2.1485)	Prec@1 49.219 (45.571)	Prec@5 77.344 (76.148)
Epoch: [58][3040/14090]	Time 0.758 (0.770)	Data 0.001 (0.003)	Loss 2.0943 (2.1485)	Prec@1 44.531 (45.572)	Prec@5 80.469 (76.150)
Epoch: [58][3050/14090]	Time 0.776 (0.770)	Data 0.001 (0.003)	Loss 2.1432 (2.1484)	Prec@1 41.406 (45.578)	Prec@5 75.000 (76.153)
Epoch: [58][3060/14090]	Time 0.755 (0.770)	Data 0.001 (0.003)	Loss 1.8925 (2.1485)	Prec@1 52.344 (45.571)	Prec@5 78.906 (76.154)
Epoch: [58][3070/14090]	Time 0.741 (0.770)	Data 0.001 (0.003)	Loss 2.1070 (2.1485)	Prec@1 47.656 (45.574)	Prec@5 73.438 (76.155)
Epoch: [58][3080/14090]	Time 0.728 (0.770)	Data 0.001 (0.003)	Loss 2.2664 (2.1486)	Prec@1 46.094 (45.570)	Prec@5 71.875 (76.151)
Epoch: [58][3090/14090]	Time 0.781 (0.770)	Data 0.001 (0.003)	Loss 2.3519 (2.1488)	Prec@1 38.281 (45.561)	Prec@5 67.969 (76.142)
Epoch: [58][3100/14090]	Time 0.940 (0.770)	Data 0.001 (0.003)	Loss 2.2106 (2.1487)	Prec@1 46.094 (45.567)	Prec@5 75.000 (76.140)
Epoch: [58][3110/14090]	Time 0.730 (0.770)	Data 0.001 (0.003)	Loss 2.3081 (2.1490)	Prec@1 44.531 (45.562)	Prec@5 70.312 (76.134)
Epoch: [58][3120/14090]	Time 0.740 (0.770)	Data 0.001 (0.003)	Loss 1.7567 (2.1492)	Prec@1 53.125 (45.561)	Prec@5 85.156 (76.130)
Epoch: [58][3130/14090]	Time 0.774 (0.770)	Data 0.001 (0.003)	Loss 2.2855 (2.1494)	Prec@1 44.531 (45.557)	Prec@5 76.562 (76.125)
Epoch: [58][3140/14090]	Time 0.737 (0.770)	Data 0.001 (0.003)	Loss 2.2057 (2.1494)	Prec@1 44.531 (45.557)	Prec@5 74.219 (76.127)
Epoch: [58][3150/14090]	Time 0.758 (0.770)	Data 0.001 (0.003)	Loss 2.1771 (2.1493)	Prec@1 38.281 (45.561)	Prec@5 74.219 (76.128)
Epoch: [58][3160/14090]	Time 0.738 (0.770)	Data 0.001 (0.003)	Loss 2.3010 (2.1495)	Prec@1 44.531 (45.554)	Prec@5 72.656 (76.124)
Epoch: [58][3170/14090]	Time 0.879 (0.770)	Data 0.001 (0.003)	Loss 1.8380 (2.1493)	Prec@1 55.469 (45.559)	Prec@5 84.375 (76.132)
Epoch: [58][3180/14090]	Time 0.738 (0.770)	Data 0.002 (0.003)	Loss 2.4872 (2.1494)	Prec@1 39.844 (45.560)	Prec@5 71.875 (76.126)
Epoch: [58][3190/14090]	Time 0.733 (0.769)	Data 0.001 (0.003)	Loss 2.1516 (2.1491)	Prec@1 43.750 (45.568)	Prec@5 77.344 (76.130)
Epoch: [58][3200/14090]	Time 0.791 (0.769)	Data 0.001 (0.003)	Loss 1.9586 (2.1490)	Prec@1 43.750 (45.567)	Prec@5 80.469 (76.132)
Epoch: [58][3210/14090]	Time 0.731 (0.769)	Data 0.001 (0.003)	Loss 2.1970 (2.1490)	Prec@1 45.312 (45.564)	Prec@5 76.562 (76.128)
Epoch: [58][3220/14090]	Time 0.758 (0.769)	Data 0.001 (0.003)	Loss 1.9283 (2.1489)	Prec@1 51.562 (45.566)	Prec@5 79.688 (76.128)
Epoch: [58][3230/14090]	Time 0.747 (0.769)	Data 0.001 (0.003)	Loss 2.2498 (2.1490)	Prec@1 42.969 (45.561)	Prec@5 75.781 (76.127)
Epoch: [58][3240/14090]	Time 0.832 (0.769)	Data 0.001 (0.003)	Loss 2.2601 (2.1491)	Prec@1 47.656 (45.564)	Prec@5 72.656 (76.124)
Epoch: [58][3250/14090]	Time 0.770 (0.769)	Data 0.001 (0.003)	Loss 1.8752 (2.1490)	Prec@1 51.562 (45.570)	Prec@5 82.812 (76.124)
Epoch: [58][3260/14090]	Time 0.739 (0.769)	Data 0.001 (0.003)	Loss 2.3675 (2.1491)	Prec@1 35.938 (45.566)	Prec@5 75.000 (76.124)
Epoch: [58][3270/14090]	Time 0.773 (0.769)	Data 0.001 (0.003)	Loss 2.3239 (2.1493)	Prec@1 38.281 (45.563)	Prec@5 75.781 (76.121)
Epoch: [58][3280/14090]	Time 0.740 (0.769)	Data 0.001 (0.003)	Loss 2.0007 (2.1494)	Prec@1 51.562 (45.558)	Prec@5 74.219 (76.120)
Epoch: [58][3290/14090]	Time 0.754 (0.769)	Data 0.001 (0.003)	Loss 2.0428 (2.1493)	Prec@1 46.875 (45.562)	Prec@5 75.781 (76.120)
Epoch: [58][3300/14090]	Time 0.763 (0.769)	Data 0.001 (0.003)	Loss 2.0917 (2.1494)	Prec@1 46.094 (45.559)	Prec@5 80.469 (76.120)
Epoch: [58][3310/14090]	Time 0.861 (0.769)	Data 0.001 (0.003)	Loss 2.4593 (2.1492)	Prec@1 33.594 (45.552)	Prec@5 71.875 (76.122)
Epoch: [58][3320/14090]	Time 0.759 (0.769)	Data 0.001 (0.003)	Loss 2.4777 (2.1495)	Prec@1 41.406 (45.549)	Prec@5 69.531 (76.113)
Epoch: [58][3330/14090]	Time 0.756 (0.769)	Data 0.001 (0.002)	Loss 2.1759 (2.1497)	Prec@1 40.625 (45.547)	Prec@5 77.344 (76.111)
Epoch: [58][3340/14090]	Time 0.749 (0.769)	Data 0.001 (0.002)	Loss 2.4560 (2.1500)	Prec@1 35.156 (45.540)	Prec@5 70.312 (76.102)
Epoch: [58][3350/14090]	Time 0.741 (0.769)	Data 0.001 (0.002)	Loss 1.9182 (2.1502)	Prec@1 50.781 (45.537)	Prec@5 82.031 (76.099)
Epoch: [58][3360/14090]	Time 0.753 (0.769)	Data 0.001 (0.002)	Loss 2.0331 (2.1500)	Prec@1 44.531 (45.537)	Prec@5 78.906 (76.102)
Epoch: [58][3370/14090]	Time 0.766 (0.769)	Data 0.001 (0.002)	Loss 2.1460 (2.1498)	Prec@1 46.094 (45.542)	Prec@5 77.344 (76.108)
Epoch: [58][3380/14090]	Time 0.920 (0.769)	Data 0.001 (0.002)	Loss 2.2403 (2.1497)	Prec@1 48.438 (45.544)	Prec@5 75.781 (76.111)
Epoch: [58][3390/14090]	Time 0.734 (0.769)	Data 0.001 (0.002)	Loss 2.0353 (2.1497)	Prec@1 45.312 (45.545)	Prec@5 80.469 (76.117)
Epoch: [58][3400/14090]	Time 0.749 (0.769)	Data 0.001 (0.002)	Loss 2.2558 (2.1499)	Prec@1 40.625 (45.536)	Prec@5 73.438 (76.113)
Epoch: [58][3410/14090]	Time 0.744 (0.769)	Data 0.001 (0.002)	Loss 1.7875 (2.1497)	Prec@1 50.781 (45.539)	Prec@5 85.938 (76.119)
Epoch: [58][3420/14090]	Time 0.790 (0.769)	Data 0.001 (0.002)	Loss 2.2157 (2.1496)	Prec@1 48.438 (45.545)	Prec@5 72.656 (76.117)
Epoch: [58][3430/14090]	Time 0.764 (0.769)	Data 0.001 (0.002)	Loss 2.1543 (2.1499)	Prec@1 46.094 (45.540)	Prec@5 80.469 (76.114)
Epoch: [58][3440/14090]	Time 0.758 (0.769)	Data 0.001 (0.002)	Loss 2.1241 (2.1498)	Prec@1 43.750 (45.538)	Prec@5 75.000 (76.115)
Epoch: [58][3450/14090]	Time 0.909 (0.769)	Data 0.001 (0.002)	Loss 2.1961 (2.1500)	Prec@1 48.438 (45.535)	Prec@5 73.438 (76.113)
Epoch: [58][3460/14090]	Time 0.750 (0.769)	Data 0.001 (0.002)	Loss 2.1367 (2.1499)	Prec@1 41.406 (45.534)	Prec@5 73.438 (76.114)
Epoch: [58][3470/14090]	Time 0.781 (0.769)	Data 0.001 (0.002)	Loss 2.4300 (2.1498)	Prec@1 38.281 (45.534)	Prec@5 75.781 (76.114)
Epoch: [58][3480/14090]	Time 0.737 (0.769)	Data 0.001 (0.002)	Loss 2.2428 (2.1498)	Prec@1 45.312 (45.532)	Prec@5 74.219 (76.115)
Epoch: [58][3490/14090]	Time 0.771 (0.769)	Data 0.003 (0.002)	Loss 1.8728 (2.1496)	Prec@1 53.125 (45.535)	Prec@5 78.906 (76.119)
Epoch: [58][3500/14090]	Time 0.741 (0.769)	Data 0.001 (0.002)	Loss 2.1132 (2.1496)	Prec@1 42.188 (45.533)	Prec@5 78.125 (76.119)
Epoch: [58][3510/14090]	Time 0.783 (0.769)	Data 0.001 (0.002)	Loss 2.0758 (2.1499)	Prec@1 49.219 (45.525)	Prec@5 76.562 (76.116)
Epoch: [58][3520/14090]	Time 1.020 (0.769)	Data 0.001 (0.002)	Loss 2.2151 (2.1499)	Prec@1 43.750 (45.526)	Prec@5 74.219 (76.113)
Epoch: [58][3530/14090]	Time 0.742 (0.769)	Data 0.001 (0.002)	Loss 2.2899 (2.1499)	Prec@1 40.625 (45.526)	Prec@5 76.562 (76.116)
Epoch: [58][3540/14090]	Time 0.763 (0.769)	Data 0.001 (0.002)	Loss 2.1125 (2.1499)	Prec@1 45.312 (45.523)	Prec@5 74.219 (76.113)
Epoch: [58][3550/14090]	Time 0.731 (0.769)	Data 0.001 (0.002)	Loss 2.3185 (2.1499)	Prec@1 38.281 (45.523)	Prec@5 74.219 (76.115)
Epoch: [58][3560/14090]	Time 0.783 (0.769)	Data 0.001 (0.002)	Loss 2.0135 (2.1498)	Prec@1 50.000 (45.528)	Prec@5 79.688 (76.114)
Epoch: [58][3570/14090]	Time 0.757 (0.769)	Data 0.001 (0.002)	Loss 2.3252 (2.1500)	Prec@1 44.531 (45.525)	Prec@5 75.781 (76.113)
Epoch: [58][3580/14090]	Time 0.749 (0.769)	Data 0.001 (0.002)	Loss 2.4644 (2.1500)	Prec@1 36.719 (45.525)	Prec@5 71.875 (76.113)
Epoch: [58][3590/14090]	Time 0.860 (0.769)	Data 0.001 (0.002)	Loss 2.1052 (2.1500)	Prec@1 44.531 (45.529)	Prec@5 79.688 (76.113)
Epoch: [58][3600/14090]	Time 0.758 (0.769)	Data 0.001 (0.002)	Loss 2.0925 (2.1502)	Prec@1 40.625 (45.522)	Prec@5 79.688 (76.110)
Epoch: [58][3610/14090]	Time 0.780 (0.769)	Data 0.001 (0.002)	Loss 2.3982 (2.1504)	Prec@1 37.500 (45.520)	Prec@5 74.219 (76.106)
Epoch: [58][3620/14090]	Time 0.724 (0.769)	Data 0.002 (0.002)	Loss 2.3172 (2.1503)	Prec@1 44.531 (45.525)	Prec@5 65.625 (76.102)
Epoch: [58][3630/14090]	Time 0.764 (0.769)	Data 0.001 (0.002)	Loss 2.1454 (2.1505)	Prec@1 47.656 (45.528)	Prec@5 72.656 (76.097)
Epoch: [58][3640/14090]	Time 0.760 (0.769)	Data 0.001 (0.002)	Loss 2.1690 (2.1507)	Prec@1 43.750 (45.524)	Prec@5 78.125 (76.095)
Epoch: [58][3650/14090]	Time 0.736 (0.769)	Data 0.001 (0.002)	Loss 2.1647 (2.1505)	Prec@1 47.656 (45.527)	Prec@5 75.781 (76.097)
Epoch: [58][3660/14090]	Time 0.854 (0.769)	Data 0.001 (0.002)	Loss 2.2140 (2.1506)	Prec@1 43.750 (45.528)	Prec@5 74.219 (76.095)
Epoch: [58][3670/14090]	Time 0.738 (0.769)	Data 0.001 (0.002)	Loss 2.0269 (2.1507)	Prec@1 48.438 (45.523)	Prec@5 77.344 (76.096)
Epoch: [58][3680/14090]	Time 0.728 (0.769)	Data 0.001 (0.002)	Loss 2.2046 (2.1507)	Prec@1 45.312 (45.525)	Prec@5 71.875 (76.093)
Epoch: [58][3690/14090]	Time 0.745 (0.769)	Data 0.001 (0.002)	Loss 2.3623 (2.1506)	Prec@1 40.625 (45.527)	Prec@5 71.875 (76.097)
Epoch: [58][3700/14090]	Time 0.724 (0.769)	Data 0.001 (0.002)	Loss 1.9617 (2.1507)	Prec@1 54.688 (45.524)	Prec@5 78.906 (76.099)
Epoch: [58][3710/14090]	Time 0.736 (0.769)	Data 0.001 (0.002)	Loss 2.0259 (2.1505)	Prec@1 52.344 (45.526)	Prec@5 74.219 (76.100)
Epoch: [58][3720/14090]	Time 0.753 (0.769)	Data 0.001 (0.002)	Loss 2.1153 (2.1504)	Prec@1 45.312 (45.532)	Prec@5 74.219 (76.101)
Epoch: [58][3730/14090]	Time 0.887 (0.769)	Data 0.001 (0.002)	Loss 2.0908 (2.1504)	Prec@1 42.969 (45.529)	Prec@5 76.562 (76.104)
Epoch: [58][3740/14090]	Time 0.736 (0.769)	Data 0.001 (0.002)	Loss 2.1165 (2.1503)	Prec@1 53.125 (45.533)	Prec@5 72.656 (76.105)
Epoch: [58][3750/14090]	Time 0.746 (0.769)	Data 0.001 (0.002)	Loss 1.9924 (2.1503)	Prec@1 42.188 (45.529)	Prec@5 82.031 (76.106)
Epoch: [58][3760/14090]	Time 0.738 (0.769)	Data 0.001 (0.002)	Loss 2.0786 (2.1505)	Prec@1 49.219 (45.526)	Prec@5 75.000 (76.104)
Epoch: [58][3770/14090]	Time 0.744 (0.769)	Data 0.001 (0.002)	Loss 2.4648 (2.1507)	Prec@1 40.625 (45.520)	Prec@5 72.656 (76.100)
Epoch: [58][3780/14090]	Time 0.763 (0.769)	Data 0.001 (0.002)	Loss 2.2752 (2.1506)	Prec@1 48.438 (45.525)	Prec@5 71.875 (76.097)
Epoch: [58][3790/14090]	Time 0.775 (0.769)	Data 0.001 (0.002)	Loss 2.0405 (2.1505)	Prec@1 48.438 (45.526)	Prec@5 78.906 (76.099)
Epoch: [58][3800/14090]	Time 0.872 (0.769)	Data 0.001 (0.002)	Loss 2.0800 (2.1505)	Prec@1 43.750 (45.524)	Prec@5 77.344 (76.097)
Epoch: [58][3810/14090]	Time 0.739 (0.769)	Data 0.001 (0.002)	Loss 2.3763 (2.1505)	Prec@1 44.531 (45.522)	Prec@5 71.094 (76.095)
Epoch: [58][3820/14090]	Time 0.738 (0.769)	Data 0.001 (0.002)	Loss 2.0195 (2.1504)	Prec@1 44.531 (45.523)	Prec@5 77.344 (76.095)
Epoch: [58][3830/14090]	Time 0.740 (0.769)	Data 0.001 (0.002)	Loss 2.1019 (2.1506)	Prec@1 47.656 (45.520)	Prec@5 75.781 (76.090)
Epoch: [58][3840/14090]	Time 0.737 (0.769)	Data 0.001 (0.002)	Loss 2.2330 (2.1510)	Prec@1 46.094 (45.510)	Prec@5 70.312 (76.084)
Epoch: [58][3850/14090]	Time 0.749 (0.769)	Data 0.001 (0.002)	Loss 2.1243 (2.1512)	Prec@1 46.875 (45.507)	Prec@5 78.125 (76.083)
Epoch: [58][3860/14090]	Time 0.737 (0.769)	Data 0.001 (0.002)	Loss 1.9052 (2.1510)	Prec@1 51.562 (45.512)	Prec@5 83.594 (76.086)
Epoch: [58][3870/14090]	Time 0.817 (0.769)	Data 0.001 (0.002)	Loss 2.4713 (2.1512)	Prec@1 40.625 (45.509)	Prec@5 74.219 (76.085)
Epoch: [58][3880/14090]	Time 0.731 (0.769)	Data 0.001 (0.002)	Loss 2.2666 (2.1512)	Prec@1 42.969 (45.507)	Prec@5 71.094 (76.085)
Epoch: [58][3890/14090]	Time 0.725 (0.769)	Data 0.001 (0.002)	Loss 2.4782 (2.1512)	Prec@1 41.406 (45.508)	Prec@5 75.000 (76.085)
Epoch: [58][3900/14090]	Time 0.764 (0.769)	Data 0.001 (0.002)	Loss 2.0231 (2.1513)	Prec@1 46.875 (45.505)	Prec@5 79.688 (76.085)
Epoch: [58][3910/14090]	Time 0.759 (0.769)	Data 0.001 (0.002)	Loss 2.0826 (2.1514)	Prec@1 49.219 (45.505)	Prec@5 74.219 (76.081)
Epoch: [58][3920/14090]	Time 0.736 (0.769)	Data 0.001 (0.002)	Loss 2.1924 (2.1514)	Prec@1 44.531 (45.502)	Prec@5 72.656 (76.083)
Epoch: [58][3930/14090]	Time 0.745 (0.769)	Data 0.003 (0.002)	Loss 1.9396 (2.1514)	Prec@1 50.000 (45.500)	Prec@5 84.375 (76.088)
Epoch: [58][3940/14090]	Time 0.848 (0.769)	Data 0.001 (0.002)	Loss 1.9897 (2.1514)	Prec@1 50.000 (45.500)	Prec@5 78.906 (76.089)
Epoch: [58][3950/14090]	Time 0.737 (0.769)	Data 0.001 (0.002)	Loss 1.8987 (2.1514)	Prec@1 53.125 (45.502)	Prec@5 79.688 (76.088)
Epoch: [58][3960/14090]	Time 0.735 (0.769)	Data 0.001 (0.002)	Loss 2.1308 (2.1513)	Prec@1 37.500 (45.502)	Prec@5 76.562 (76.091)
Epoch: [58][3970/14090]	Time 0.758 (0.769)	Data 0.001 (0.002)	Loss 2.1943 (2.1515)	Prec@1 48.438 (45.497)	Prec@5 75.000 (76.084)
Epoch: [58][3980/14090]	Time 0.747 (0.769)	Data 0.001 (0.002)	Loss 1.8901 (2.1517)	Prec@1 51.562 (45.493)	Prec@5 82.031 (76.081)
Epoch: [58][3990/14090]	Time 0.746 (0.769)	Data 0.001 (0.002)	Loss 2.1895 (2.1517)	Prec@1 39.844 (45.489)	Prec@5 75.781 (76.081)
Epoch: [58][4000/14090]	Time 0.778 (0.769)	Data 0.001 (0.002)	Loss 2.1025 (2.1519)	Prec@1 44.531 (45.480)	Prec@5 75.781 (76.078)
Epoch: [58][4010/14090]	Time 0.866 (0.769)	Data 0.001 (0.002)	Loss 1.8616 (2.1519)	Prec@1 53.125 (45.482)	Prec@5 80.469 (76.080)
Epoch: [58][4020/14090]	Time 0.738 (0.769)	Data 0.001 (0.002)	Loss 2.4092 (2.1519)	Prec@1 44.531 (45.482)	Prec@5 72.656 (76.083)
Epoch: [58][4030/14090]	Time 0.741 (0.769)	Data 0.001 (0.002)	Loss 1.8607 (2.1518)	Prec@1 50.781 (45.483)	Prec@5 84.375 (76.086)
Epoch: [58][4040/14090]	Time 0.743 (0.769)	Data 0.001 (0.002)	Loss 2.3998 (2.1518)	Prec@1 42.188 (45.488)	Prec@5 70.312 (76.086)
Epoch: [58][4050/14090]	Time 0.747 (0.769)	Data 0.001 (0.002)	Loss 1.9864 (2.1516)	Prec@1 53.906 (45.492)	Prec@5 78.125 (76.092)
Epoch: [58][4060/14090]	Time 0.758 (0.769)	Data 0.001 (0.002)	Loss 1.9372 (2.1514)	Prec@1 48.438 (45.498)	Prec@5 79.688 (76.094)
Epoch: [58][4070/14090]	Time 0.729 (0.769)	Data 0.001 (0.002)	Loss 2.2149 (2.1516)	Prec@1 46.094 (45.493)	Prec@5 72.656 (76.091)
Epoch: [58][4080/14090]	Time 0.849 (0.769)	Data 0.001 (0.002)	Loss 2.0151 (2.1517)	Prec@1 50.781 (45.490)	Prec@5 78.906 (76.089)
Epoch: [58][4090/14090]	Time 0.753 (0.769)	Data 0.001 (0.002)	Loss 2.1673 (2.1519)	Prec@1 42.969 (45.483)	Prec@5 80.469 (76.088)
Epoch: [58][4100/14090]	Time 0.754 (0.769)	Data 0.001 (0.002)	Loss 2.3064 (2.1520)	Prec@1 44.531 (45.480)	Prec@5 73.438 (76.087)
Epoch: [58][4110/14090]	Time 0.752 (0.769)	Data 0.001 (0.002)	Loss 1.9200 (2.1521)	Prec@1 53.125 (45.476)	Prec@5 80.469 (76.085)
Epoch: [58][4120/14090]	Time 0.781 (0.769)	Data 0.001 (0.002)	Loss 2.3062 (2.1520)	Prec@1 42.188 (45.475)	Prec@5 75.000 (76.088)
Epoch: [58][4130/14090]	Time 0.761 (0.769)	Data 0.001 (0.002)	Loss 2.2289 (2.1521)	Prec@1 44.531 (45.471)	Prec@5 69.531 (76.085)
Epoch: [58][4140/14090]	Time 0.769 (0.769)	Data 0.001 (0.002)	Loss 2.0525 (2.1521)	Prec@1 41.406 (45.469)	Prec@5 78.906 (76.083)
Epoch: [58][4150/14090]	Time 0.869 (0.769)	Data 0.001 (0.002)	Loss 2.2378 (2.1520)	Prec@1 39.844 (45.472)	Prec@5 75.781 (76.086)
Epoch: [58][4160/14090]	Time 0.729 (0.769)	Data 0.001 (0.002)	Loss 2.3313 (2.1520)	Prec@1 40.625 (45.471)	Prec@5 69.531 (76.084)
Epoch: [58][4170/14090]	Time 0.771 (0.769)	Data 0.001 (0.002)	Loss 2.2035 (2.1522)	Prec@1 47.656 (45.475)	Prec@5 75.781 (76.082)
Epoch: [58][4180/14090]	Time 0.734 (0.769)	Data 0.001 (0.002)	Loss 2.2373 (2.1522)	Prec@1 42.188 (45.475)	Prec@5 75.000 (76.079)
Epoch: [58][4190/14090]	Time 0.774 (0.769)	Data 0.001 (0.002)	Loss 2.1747 (2.1521)	Prec@1 44.531 (45.479)	Prec@5 75.781 (76.081)
Epoch: [58][4200/14090]	Time 0.750 (0.769)	Data 0.001 (0.002)	Loss 2.3694 (2.1523)	Prec@1 43.750 (45.474)	Prec@5 72.656 (76.075)
Epoch: [58][4210/14090]	Time 0.766 (0.769)	Data 0.001 (0.002)	Loss 1.8615 (2.1523)	Prec@1 48.438 (45.472)	Prec@5 80.469 (76.078)
Epoch: [58][4220/14090]	Time 0.934 (0.769)	Data 0.001 (0.002)	Loss 2.0741 (2.1524)	Prec@1 51.562 (45.470)	Prec@5 79.688 (76.077)
Epoch: [58][4230/14090]	Time 0.745 (0.769)	Data 0.001 (0.002)	Loss 2.2522 (2.1524)	Prec@1 39.844 (45.471)	Prec@5 77.344 (76.074)
Epoch: [58][4240/14090]	Time 0.756 (0.769)	Data 0.001 (0.002)	Loss 2.2181 (2.1527)	Prec@1 44.531 (45.466)	Prec@5 75.781 (76.067)
Epoch: [58][4250/14090]	Time 0.735 (0.769)	Data 0.001 (0.002)	Loss 2.0214 (2.1528)	Prec@1 48.438 (45.460)	Prec@5 79.688 (76.064)
Epoch: [58][4260/14090]	Time 0.743 (0.769)	Data 0.001 (0.002)	Loss 1.9501 (2.1528)	Prec@1 47.656 (45.462)	Prec@5 79.688 (76.065)
Epoch: [58][4270/14090]	Time 0.755 (0.769)	Data 0.001 (0.002)	Loss 2.3171 (2.1529)	Prec@1 42.188 (45.456)	Prec@5 76.562 (76.064)
Epoch: [58][4280/14090]	Time 0.759 (0.769)	Data 0.001 (0.002)	Loss 2.0758 (2.1529)	Prec@1 48.438 (45.453)	Prec@5 78.125 (76.065)
Epoch: [58][4290/14090]	Time 0.909 (0.769)	Data 0.001 (0.002)	Loss 2.0703 (2.1528)	Prec@1 51.562 (45.457)	Prec@5 75.000 (76.068)
Epoch: [58][4300/14090]	Time 0.730 (0.769)	Data 0.003 (0.002)	Loss 2.3249 (2.1527)	Prec@1 37.500 (45.459)	Prec@5 73.438 (76.070)
Epoch: [58][4310/14090]	Time 0.729 (0.769)	Data 0.001 (0.002)	Loss 2.0371 (2.1527)	Prec@1 44.531 (45.458)	Prec@5 78.125 (76.069)
Epoch: [58][4320/14090]	Time 0.763 (0.769)	Data 0.001 (0.002)	Loss 1.8863 (2.1528)	Prec@1 47.656 (45.454)	Prec@5 83.594 (76.066)
Epoch: [58][4330/14090]	Time 0.759 (0.769)	Data 0.001 (0.002)	Loss 2.1600 (2.1527)	Prec@1 46.875 (45.453)	Prec@5 74.219 (76.068)
Epoch: [58][4340/14090]	Time 0.762 (0.769)	Data 0.001 (0.002)	Loss 2.4849 (2.1528)	Prec@1 44.531 (45.451)	Prec@5 67.188 (76.065)
Epoch: [58][4350/14090]	Time 0.737 (0.769)	Data 0.001 (0.002)	Loss 2.5720 (2.1529)	Prec@1 35.938 (45.450)	Prec@5 67.188 (76.062)
Epoch: [58][4360/14090]	Time 0.880 (0.769)	Data 0.001 (0.002)	Loss 2.6243 (2.1530)	Prec@1 35.938 (45.448)	Prec@5 68.750 (76.062)
Epoch: [58][4370/14090]	Time 0.753 (0.769)	Data 0.001 (0.002)	Loss 2.3915 (2.1533)	Prec@1 42.188 (45.441)	Prec@5 68.750 (76.056)
Epoch: [58][4380/14090]	Time 0.723 (0.769)	Data 0.001 (0.002)	Loss 2.0963 (2.1532)	Prec@1 46.875 (45.443)	Prec@5 78.125 (76.058)
Epoch: [58][4390/14090]	Time 0.755 (0.769)	Data 0.001 (0.002)	Loss 2.0582 (2.1531)	Prec@1 48.438 (45.445)	Prec@5 81.250 (76.063)
Epoch: [58][4400/14090]	Time 0.736 (0.769)	Data 0.001 (0.002)	Loss 2.3858 (2.1531)	Prec@1 35.938 (45.440)	Prec@5 75.000 (76.065)
Epoch: [58][4410/14090]	Time 0.758 (0.769)	Data 0.001 (0.002)	Loss 2.2819 (2.1531)	Prec@1 42.188 (45.438)	Prec@5 77.344 (76.065)
Epoch: [58][4420/14090]	Time 0.751 (0.769)	Data 0.001 (0.002)	Loss 2.4089 (2.1532)	Prec@1 37.500 (45.433)	Prec@5 68.750 (76.063)
Epoch: [58][4430/14090]	Time 0.854 (0.769)	Data 0.001 (0.002)	Loss 2.2269 (2.1533)	Prec@1 50.781 (45.434)	Prec@5 71.094 (76.059)
Epoch: [58][4440/14090]	Time 0.750 (0.769)	Data 0.001 (0.002)	Loss 2.2414 (2.1535)	Prec@1 41.406 (45.430)	Prec@5 73.438 (76.053)
Epoch: [58][4450/14090]	Time 0.766 (0.769)	Data 0.002 (0.002)	Loss 2.5699 (2.1537)	Prec@1 38.281 (45.427)	Prec@5 68.750 (76.052)
Epoch: [58][4460/14090]	Time 0.728 (0.769)	Data 0.001 (0.002)	Loss 2.2609 (2.1538)	Prec@1 44.531 (45.424)	Prec@5 75.781 (76.054)
Epoch: [58][4470/14090]	Time 0.755 (0.769)	Data 0.001 (0.002)	Loss 1.8301 (2.1538)	Prec@1 54.688 (45.426)	Prec@5 79.688 (76.054)
Epoch: [58][4480/14090]	Time 0.757 (0.769)	Data 0.001 (0.002)	Loss 1.9559 (2.1539)	Prec@1 45.312 (45.423)	Prec@5 83.594 (76.050)
Epoch: [58][4490/14090]	Time 0.749 (0.769)	Data 0.001 (0.002)	Loss 2.2676 (2.1540)	Prec@1 40.625 (45.419)	Prec@5 73.438 (76.048)
Epoch: [58][4500/14090]	Time 0.879 (0.769)	Data 0.001 (0.002)	Loss 2.0606 (2.1540)	Prec@1 51.562 (45.420)	Prec@5 75.000 (76.047)
Epoch: [58][4510/14090]	Time 0.737 (0.769)	Data 0.001 (0.002)	Loss 1.6892 (2.1538)	Prec@1 57.812 (45.426)	Prec@5 88.281 (76.053)
Epoch: [58][4520/14090]	Time 0.727 (0.769)	Data 0.001 (0.002)	Loss 1.9257 (2.1537)	Prec@1 49.219 (45.427)	Prec@5 83.594 (76.057)
Epoch: [58][4530/14090]	Time 0.751 (0.769)	Data 0.001 (0.002)	Loss 2.0404 (2.1537)	Prec@1 46.875 (45.427)	Prec@5 79.688 (76.057)
Epoch: [58][4540/14090]	Time 0.738 (0.769)	Data 0.001 (0.002)	Loss 2.0906 (2.1536)	Prec@1 46.875 (45.431)	Prec@5 78.125 (76.058)
Epoch: [58][4550/14090]	Time 0.759 (0.769)	Data 0.001 (0.002)	Loss 2.2569 (2.1537)	Prec@1 36.719 (45.425)	Prec@5 79.688 (76.057)
Epoch: [58][4560/14090]	Time 0.771 (0.769)	Data 0.001 (0.002)	Loss 2.1879 (2.1538)	Prec@1 43.750 (45.416)	Prec@5 71.875 (76.052)
Epoch: [58][4570/14090]	Time 0.860 (0.769)	Data 0.001 (0.002)	Loss 2.0526 (2.1541)	Prec@1 50.781 (45.411)	Prec@5 77.344 (76.049)
Epoch: [58][4580/14090]	Time 0.746 (0.769)	Data 0.001 (0.002)	Loss 1.9677 (2.1542)	Prec@1 48.438 (45.409)	Prec@5 80.469 (76.048)
Epoch: [58][4590/14090]	Time 0.725 (0.769)	Data 0.001 (0.002)	Loss 2.4339 (2.1544)	Prec@1 42.188 (45.404)	Prec@5 67.969 (76.043)
Epoch: [58][4600/14090]	Time 0.735 (0.769)	Data 0.001 (0.002)	Loss 1.8829 (2.1545)	Prec@1 52.344 (45.401)	Prec@5 80.469 (76.041)
Epoch: [58][4610/14090]	Time 0.774 (0.769)	Data 0.001 (0.002)	Loss 2.0772 (2.1546)	Prec@1 47.656 (45.401)	Prec@5 78.125 (76.038)
Epoch: [58][4620/14090]	Time 0.763 (0.769)	Data 0.001 (0.002)	Loss 2.1563 (2.1547)	Prec@1 43.750 (45.401)	Prec@5 75.781 (76.038)
Epoch: [58][4630/14090]	Time 0.760 (0.769)	Data 0.001 (0.002)	Loss 2.1882 (2.1547)	Prec@1 43.750 (45.400)	Prec@5 76.562 (76.037)
Epoch: [58][4640/14090]	Time 0.842 (0.769)	Data 0.001 (0.002)	Loss 2.3093 (2.1549)	Prec@1 43.750 (45.401)	Prec@5 72.656 (76.035)
Epoch: [58][4650/14090]	Time 0.749 (0.769)	Data 0.001 (0.002)	Loss 2.5141 (2.1550)	Prec@1 41.406 (45.398)	Prec@5 68.750 (76.031)
Epoch: [58][4660/14090]	Time 0.763 (0.769)	Data 0.001 (0.002)	Loss 1.9977 (2.1550)	Prec@1 49.219 (45.398)	Prec@5 75.781 (76.031)
Epoch: [58][4670/14090]	Time 0.753 (0.769)	Data 0.001 (0.002)	Loss 2.0890 (2.1550)	Prec@1 47.656 (45.399)	Prec@5 75.781 (76.030)
Epoch: [58][4680/14090]	Time 0.723 (0.769)	Data 0.001 (0.002)	Loss 2.2761 (2.1549)	Prec@1 42.188 (45.401)	Prec@5 71.094 (76.030)
Epoch: [58][4690/14090]	Time 0.744 (0.769)	Data 0.001 (0.002)	Loss 2.3332 (2.1549)	Prec@1 43.750 (45.404)	Prec@5 72.656 (76.032)
Epoch: [58][4700/14090]	Time 0.771 (0.769)	Data 0.001 (0.002)	Loss 2.3891 (2.1550)	Prec@1 39.844 (45.403)	Prec@5 70.312 (76.031)
Epoch: [58][4710/14090]	Time 0.828 (0.769)	Data 0.001 (0.002)	Loss 2.0364 (2.1550)	Prec@1 45.312 (45.403)	Prec@5 76.562 (76.028)
Epoch: [58][4720/14090]	Time 0.759 (0.769)	Data 0.001 (0.002)	Loss 1.8087 (2.1549)	Prec@1 47.656 (45.403)	Prec@5 78.906 (76.030)
Epoch: [58][4730/14090]	Time 0.754 (0.769)	Data 0.001 (0.002)	Loss 2.3411 (2.1548)	Prec@1 40.625 (45.406)	Prec@5 71.094 (76.031)
Epoch: [58][4740/14090]	Time 0.765 (0.769)	Data 0.001 (0.002)	Loss 1.8932 (2.1549)	Prec@1 48.438 (45.405)	Prec@5 81.250 (76.028)
Epoch: [58][4750/14090]	Time 0.765 (0.769)	Data 0.001 (0.002)	Loss 2.3038 (2.1550)	Prec@1 41.406 (45.408)	Prec@5 71.094 (76.028)
Epoch: [58][4760/14090]	Time 0.743 (0.769)	Data 0.001 (0.002)	Loss 2.1133 (2.1552)	Prec@1 39.062 (45.403)	Prec@5 75.781 (76.027)
Epoch: [58][4770/14090]	Time 0.742 (0.769)	Data 0.001 (0.002)	Loss 2.1594 (2.1552)	Prec@1 53.906 (45.402)	Prec@5 78.125 (76.029)
Epoch: [58][4780/14090]	Time 0.901 (0.769)	Data 0.001 (0.002)	Loss 2.0107 (2.1551)	Prec@1 48.438 (45.406)	Prec@5 80.469 (76.033)
Epoch: [58][4790/14090]	Time 0.753 (0.769)	Data 0.001 (0.002)	Loss 2.1744 (2.1552)	Prec@1 50.781 (45.404)	Prec@5 74.219 (76.030)
Epoch: [58][4800/14090]	Time 0.757 (0.769)	Data 0.001 (0.002)	Loss 2.2362 (2.1552)	Prec@1 44.531 (45.403)	Prec@5 74.219 (76.029)
Epoch: [58][4810/14090]	Time 0.760 (0.769)	Data 0.001 (0.002)	Loss 2.2173 (2.1554)	Prec@1 47.656 (45.403)	Prec@5 78.125 (76.026)
Epoch: [58][4820/14090]	Time 0.773 (0.769)	Data 0.001 (0.002)	Loss 2.0373 (2.1555)	Prec@1 46.875 (45.401)	Prec@5 78.906 (76.024)
Epoch: [58][4830/14090]	Time 0.779 (0.769)	Data 0.001 (0.002)	Loss 2.1316 (2.1553)	Prec@1 40.625 (45.402)	Prec@5 78.906 (76.029)
Epoch: [58][4840/14090]	Time 0.727 (0.769)	Data 0.001 (0.002)	Loss 2.5125 (2.1553)	Prec@1 38.281 (45.402)	Prec@5 74.219 (76.028)
Epoch: [58][4850/14090]	Time 0.863 (0.769)	Data 0.001 (0.002)	Loss 2.1288 (2.1553)	Prec@1 46.875 (45.404)	Prec@5 81.250 (76.030)
Epoch: [58][4860/14090]	Time 0.745 (0.769)	Data 0.001 (0.002)	Loss 2.0318 (2.1553)	Prec@1 49.219 (45.401)	Prec@5 78.906 (76.030)
Epoch: [58][4870/14090]	Time 0.740 (0.769)	Data 0.001 (0.002)	Loss 2.1365 (2.1554)	Prec@1 50.000 (45.402)	Prec@5 75.000 (76.027)
Epoch: [58][4880/14090]	Time 0.729 (0.769)	Data 0.001 (0.002)	Loss 1.8323 (2.1554)	Prec@1 51.562 (45.403)	Prec@5 82.031 (76.026)
Epoch: [58][4890/14090]	Time 0.746 (0.769)	Data 0.001 (0.002)	Loss 1.9118 (2.1553)	Prec@1 47.656 (45.405)	Prec@5 86.719 (76.029)
Epoch: [58][4900/14090]	Time 0.731 (0.769)	Data 0.001 (0.002)	Loss 2.1588 (2.1553)	Prec@1 38.281 (45.405)	Prec@5 78.906 (76.032)
Epoch: [58][4910/14090]	Time 0.732 (0.769)	Data 0.001 (0.002)	Loss 2.0227 (2.1554)	Prec@1 50.000 (45.401)	Prec@5 75.781 (76.031)
Epoch: [58][4920/14090]	Time 0.855 (0.769)	Data 0.001 (0.002)	Loss 2.2724 (2.1555)	Prec@1 42.969 (45.398)	Prec@5 67.969 (76.028)
Epoch: [58][4930/14090]	Time 0.737 (0.769)	Data 0.001 (0.002)	Loss 2.5464 (2.1556)	Prec@1 31.250 (45.394)	Prec@5 74.219 (76.028)
Epoch: [58][4940/14090]	Time 0.746 (0.769)	Data 0.001 (0.002)	Loss 2.0988 (2.1555)	Prec@1 48.438 (45.398)	Prec@5 75.000 (76.030)
Epoch: [58][4950/14090]	Time 0.752 (0.769)	Data 0.001 (0.002)	Loss 2.2796 (2.1555)	Prec@1 42.188 (45.397)	Prec@5 71.875 (76.027)
Epoch: [58][4960/14090]	Time 0.734 (0.769)	Data 0.001 (0.002)	Loss 1.8889 (2.1553)	Prec@1 50.000 (45.400)	Prec@5 79.688 (76.034)
Epoch: [58][4970/14090]	Time 0.756 (0.769)	Data 0.001 (0.002)	Loss 2.4609 (2.1553)	Prec@1 46.875 (45.400)	Prec@5 70.312 (76.035)
Epoch: [58][4980/14090]	Time 0.724 (0.769)	Data 0.001 (0.002)	Loss 2.1726 (2.1553)	Prec@1 46.094 (45.400)	Prec@5 75.781 (76.034)
Epoch: [58][4990/14090]	Time 0.852 (0.769)	Data 0.001 (0.002)	Loss 2.0208 (2.1555)	Prec@1 45.312 (45.398)	Prec@5 78.906 (76.031)
Epoch: [58][5000/14090]	Time 0.777 (0.769)	Data 0.001 (0.002)	Loss 1.8506 (2.1554)	Prec@1 49.219 (45.397)	Prec@5 82.812 (76.032)
Epoch: [58][5010/14090]	Time 0.758 (0.769)	Data 0.001 (0.002)	Loss 2.4380 (2.1555)	Prec@1 40.625 (45.393)	Prec@5 72.656 (76.029)
Epoch: [58][5020/14090]	Time 0.743 (0.769)	Data 0.001 (0.002)	Loss 2.4120 (2.1555)	Prec@1 46.094 (45.393)	Prec@5 70.312 (76.029)
Epoch: [58][5030/14090]	Time 0.745 (0.769)	Data 0.001 (0.002)	Loss 2.0200 (2.1556)	Prec@1 46.875 (45.396)	Prec@5 76.562 (76.027)
Epoch: [58][5040/14090]	Time 0.764 (0.769)	Data 0.001 (0.002)	Loss 2.1163 (2.1557)	Prec@1 44.531 (45.394)	Prec@5 77.344 (76.028)
Epoch: [58][5050/14090]	Time 0.766 (0.769)	Data 0.001 (0.002)	Loss 2.1588 (2.1556)	Prec@1 44.531 (45.394)	Prec@5 72.656 (76.029)
Epoch: [58][5060/14090]	Time 0.864 (0.769)	Data 0.001 (0.002)	Loss 2.1546 (2.1555)	Prec@1 48.438 (45.398)	Prec@5 76.562 (76.032)
Epoch: [58][5070/14090]	Time 0.726 (0.769)	Data 0.001 (0.002)	Loss 2.3227 (2.1555)	Prec@1 39.062 (45.395)	Prec@5 75.000 (76.031)
Epoch: [58][5080/14090]	Time 0.740 (0.769)	Data 0.001 (0.002)	Loss 2.3896 (2.1555)	Prec@1 39.062 (45.394)	Prec@5 71.094 (76.031)
Epoch: [58][5090/14090]	Time 0.737 (0.769)	Data 0.001 (0.002)	Loss 2.1927 (2.1556)	Prec@1 47.656 (45.389)	Prec@5 76.562 (76.029)
Epoch: [58][5100/14090]	Time 0.745 (0.769)	Data 0.001 (0.002)	Loss 2.1156 (2.1556)	Prec@1 48.438 (45.390)	Prec@5 77.344 (76.027)
Epoch: [58][5110/14090]	Time 0.718 (0.769)	Data 0.001 (0.002)	Loss 2.2044 (2.1556)	Prec@1 44.531 (45.393)	Prec@5 76.562 (76.026)
Epoch: [58][5120/14090]	Time 0.777 (0.769)	Data 0.001 (0.002)	Loss 1.9465 (2.1554)	Prec@1 48.438 (45.396)	Prec@5 80.469 (76.031)
Epoch: [58][5130/14090]	Time 0.870 (0.769)	Data 0.001 (0.002)	Loss 2.3081 (2.1554)	Prec@1 40.625 (45.397)	Prec@5 74.219 (76.031)
Epoch: [58][5140/14090]	Time 0.759 (0.769)	Data 0.003 (0.002)	Loss 2.6104 (2.1555)	Prec@1 39.844 (45.400)	Prec@5 64.844 (76.028)
Epoch: [58][5150/14090]	Time 0.731 (0.769)	Data 0.001 (0.002)	Loss 2.2029 (2.1557)	Prec@1 43.750 (45.396)	Prec@5 75.000 (76.025)
Epoch: [58][5160/14090]	Time 0.742 (0.769)	Data 0.001 (0.002)	Loss 1.8665 (2.1557)	Prec@1 53.906 (45.395)	Prec@5 82.812 (76.024)
Epoch: [58][5170/14090]	Time 0.758 (0.769)	Data 0.001 (0.002)	Loss 2.1593 (2.1556)	Prec@1 45.312 (45.397)	Prec@5 76.562 (76.024)
Epoch: [58][5180/14090]	Time 0.773 (0.769)	Data 0.001 (0.002)	Loss 1.9387 (2.1556)	Prec@1 48.438 (45.399)	Prec@5 82.031 (76.025)
Epoch: [58][5190/14090]	Time 0.752 (0.769)	Data 0.001 (0.002)	Loss 2.3173 (2.1555)	Prec@1 46.094 (45.398)	Prec@5 70.312 (76.024)
Epoch: [58][5200/14090]	Time 0.827 (0.769)	Data 0.001 (0.002)	Loss 1.8351 (2.1555)	Prec@1 46.875 (45.398)	Prec@5 85.938 (76.025)
Epoch: [58][5210/14090]	Time 0.748 (0.769)	Data 0.001 (0.002)	Loss 2.4531 (2.1557)	Prec@1 42.969 (45.396)	Prec@5 68.750 (76.020)
Epoch: [58][5220/14090]	Time 0.757 (0.769)	Data 0.001 (0.002)	Loss 2.0667 (2.1557)	Prec@1 50.781 (45.397)	Prec@5 74.219 (76.019)
Epoch: [58][5230/14090]	Time 0.745 (0.769)	Data 0.001 (0.002)	Loss 2.5991 (2.1558)	Prec@1 35.156 (45.390)	Prec@5 67.188 (76.019)
Epoch: [58][5240/14090]	Time 0.727 (0.769)	Data 0.001 (0.002)	Loss 2.0179 (2.1559)	Prec@1 45.312 (45.392)	Prec@5 77.344 (76.018)
Epoch: [58][5250/14090]	Time 0.773 (0.769)	Data 0.001 (0.002)	Loss 2.0414 (2.1558)	Prec@1 49.219 (45.394)	Prec@5 75.000 (76.018)
Epoch: [58][5260/14090]	Time 0.752 (0.769)	Data 0.001 (0.002)	Loss 2.3891 (2.1559)	Prec@1 42.188 (45.392)	Prec@5 71.094 (76.013)
Epoch: [58][5270/14090]	Time 0.847 (0.769)	Data 0.001 (0.002)	Loss 2.1766 (2.1558)	Prec@1 44.531 (45.394)	Prec@5 78.125 (76.014)
Epoch: [58][5280/14090]	Time 0.736 (0.769)	Data 0.001 (0.002)	Loss 2.4705 (2.1560)	Prec@1 36.719 (45.394)	Prec@5 69.531 (76.010)
Epoch: [58][5290/14090]	Time 0.748 (0.769)	Data 0.001 (0.002)	Loss 1.9442 (2.1560)	Prec@1 46.875 (45.391)	Prec@5 81.250 (76.011)
Epoch: [58][5300/14090]	Time 0.728 (0.769)	Data 0.002 (0.002)	Loss 1.9148 (2.1561)	Prec@1 46.875 (45.387)	Prec@5 78.125 (76.010)
Epoch: [58][5310/14090]	Time 0.757 (0.769)	Data 0.001 (0.002)	Loss 2.1832 (2.1562)	Prec@1 46.875 (45.386)	Prec@5 75.000 (76.006)
Epoch: [58][5320/14090]	Time 0.763 (0.769)	Data 0.001 (0.002)	Loss 2.0554 (2.1563)	Prec@1 42.969 (45.384)	Prec@5 77.344 (76.004)
Epoch: [58][5330/14090]	Time 0.756 (0.769)	Data 0.001 (0.002)	Loss 2.3022 (2.1562)	Prec@1 46.094 (45.389)	Prec@5 78.125 (76.007)
Epoch: [58][5340/14090]	Time 0.932 (0.769)	Data 0.001 (0.002)	Loss 1.8301 (2.1560)	Prec@1 53.906 (45.394)	Prec@5 81.250 (76.010)
Epoch: [58][5350/14090]	Time 0.767 (0.769)	Data 0.001 (0.002)	Loss 2.0267 (2.1560)	Prec@1 42.969 (45.391)	Prec@5 80.469 (76.010)
Epoch: [58][5360/14090]	Time 0.738 (0.769)	Data 0.001 (0.002)	Loss 2.1886 (2.1558)	Prec@1 41.406 (45.394)	Prec@5 78.125 (76.015)
Epoch: [58][5370/14090]	Time 0.731 (0.769)	Data 0.001 (0.002)	Loss 1.9166 (2.1559)	Prec@1 53.906 (45.391)	Prec@5 78.906 (76.011)
Epoch: [58][5380/14090]	Time 0.755 (0.769)	Data 0.001 (0.002)	Loss 2.2028 (2.1558)	Prec@1 46.875 (45.394)	Prec@5 73.438 (76.011)
Epoch: [58][5390/14090]	Time 0.722 (0.769)	Data 0.001 (0.002)	Loss 1.8440 (2.1555)	Prec@1 50.781 (45.401)	Prec@5 78.906 (76.015)
Epoch: [58][5400/14090]	Time 0.767 (0.769)	Data 0.001 (0.002)	Loss 2.2491 (2.1557)	Prec@1 40.625 (45.399)	Prec@5 75.781 (76.017)
Epoch: [58][5410/14090]	Time 0.881 (0.769)	Data 0.001 (0.002)	Loss 2.2139 (2.1558)	Prec@1 40.625 (45.397)	Prec@5 79.688 (76.015)
Epoch: [58][5420/14090]	Time 0.748 (0.769)	Data 0.001 (0.002)	Loss 2.0786 (2.1557)	Prec@1 45.312 (45.400)	Prec@5 79.688 (76.018)
Epoch: [58][5430/14090]	Time 0.734 (0.769)	Data 0.001 (0.002)	Loss 2.4166 (2.1557)	Prec@1 35.938 (45.403)	Prec@5 74.219 (76.018)
Epoch: [58][5440/14090]	Time 0.736 (0.769)	Data 0.001 (0.002)	Loss 2.0689 (2.1556)	Prec@1 50.000 (45.404)	Prec@5 75.781 (76.019)
Epoch: [58][5450/14090]	Time 0.744 (0.769)	Data 0.001 (0.002)	Loss 2.3807 (2.1558)	Prec@1 38.281 (45.400)	Prec@5 75.781 (76.017)
Epoch: [58][5460/14090]	Time 0.770 (0.769)	Data 0.002 (0.002)	Loss 2.2811 (2.1559)	Prec@1 44.531 (45.398)	Prec@5 75.781 (76.016)
Epoch: [58][5470/14090]	Time 0.763 (0.769)	Data 0.001 (0.002)	Loss 2.3209 (2.1560)	Prec@1 41.406 (45.397)	Prec@5 74.219 (76.014)
Epoch: [58][5480/14090]	Time 0.957 (0.769)	Data 0.001 (0.002)	Loss 2.1969 (2.1560)	Prec@1 46.875 (45.397)	Prec@5 75.000 (76.014)
Epoch: [58][5490/14090]	Time 0.746 (0.769)	Data 0.001 (0.002)	Loss 2.0646 (2.1560)	Prec@1 42.969 (45.397)	Prec@5 79.688 (76.016)
Epoch: [58][5500/14090]	Time 0.758 (0.769)	Data 0.001 (0.002)	Loss 2.0476 (2.1561)	Prec@1 49.219 (45.395)	Prec@5 75.000 (76.014)
Epoch: [58][5510/14090]	Time 0.723 (0.769)	Data 0.001 (0.002)	Loss 2.2103 (2.1562)	Prec@1 48.438 (45.395)	Prec@5 72.656 (76.012)
Epoch: [58][5520/14090]	Time 0.765 (0.769)	Data 0.001 (0.002)	Loss 2.1037 (2.1562)	Prec@1 42.969 (45.394)	Prec@5 78.906 (76.013)
Epoch: [58][5530/14090]	Time 0.762 (0.769)	Data 0.001 (0.002)	Loss 2.2162 (2.1562)	Prec@1 43.750 (45.393)	Prec@5 77.344 (76.012)
Epoch: [58][5540/14090]	Time 0.776 (0.769)	Data 0.001 (0.002)	Loss 2.2315 (2.1563)	Prec@1 42.188 (45.392)	Prec@5 77.344 (76.011)
Epoch: [58][5550/14090]	Time 0.898 (0.769)	Data 0.001 (0.002)	Loss 2.0232 (2.1563)	Prec@1 46.875 (45.392)	Prec@5 75.000 (76.010)
Epoch: [58][5560/14090]	Time 0.745 (0.769)	Data 0.001 (0.002)	Loss 2.2904 (2.1562)	Prec@1 42.969 (45.396)	Prec@5 73.438 (76.010)
Epoch: [58][5570/14090]	Time 0.763 (0.769)	Data 0.001 (0.002)	Loss 2.2579 (2.1563)	Prec@1 43.750 (45.395)	Prec@5 68.750 (76.009)
Epoch: [58][5580/14090]	Time 0.751 (0.769)	Data 0.001 (0.002)	Loss 2.1654 (2.1563)	Prec@1 39.844 (45.394)	Prec@5 78.125 (76.007)
Epoch: [58][5590/14090]	Time 0.723 (0.769)	Data 0.001 (0.002)	Loss 1.9163 (2.1563)	Prec@1 53.125 (45.398)	Prec@5 79.688 (76.010)
Epoch: [58][5600/14090]	Time 0.728 (0.769)	Data 0.001 (0.002)	Loss 2.1131 (2.1563)	Prec@1 50.781 (45.399)	Prec@5 76.562 (76.009)
Epoch: [58][5610/14090]	Time 0.731 (0.769)	Data 0.001 (0.002)	Loss 2.0261 (2.1564)	Prec@1 49.219 (45.397)	Prec@5 74.219 (76.007)
Epoch: [58][5620/14090]	Time 0.906 (0.769)	Data 0.001 (0.002)	Loss 2.1606 (2.1562)	Prec@1 48.438 (45.400)	Prec@5 79.688 (76.009)
Epoch: [58][5630/14090]	Time 0.750 (0.769)	Data 0.001 (0.002)	Loss 2.2348 (2.1564)	Prec@1 41.406 (45.396)	Prec@5 73.438 (76.006)
Epoch: [58][5640/14090]	Time 0.737 (0.769)	Data 0.001 (0.002)	Loss 2.2569 (2.1564)	Prec@1 44.531 (45.392)	Prec@5 71.875 (76.004)
Epoch: [58][5650/14090]	Time 0.740 (0.769)	Data 0.001 (0.002)	Loss 2.0584 (2.1564)	Prec@1 46.094 (45.395)	Prec@5 79.688 (76.006)
Epoch: [58][5660/14090]	Time 0.747 (0.769)	Data 0.001 (0.002)	Loss 2.1870 (2.1563)	Prec@1 42.969 (45.394)	Prec@5 76.562 (76.007)
Epoch: [58][5670/14090]	Time 0.743 (0.769)	Data 0.000 (0.002)	Loss 2.3794 (2.1564)	Prec@1 40.625 (45.391)	Prec@5 71.094 (76.005)
Epoch: [58][5680/14090]	Time 0.751 (0.769)	Data 0.001 (0.002)	Loss 2.1638 (2.1565)	Prec@1 42.969 (45.390)	Prec@5 76.562 (76.005)
Epoch: [58][5690/14090]	Time 0.880 (0.769)	Data 0.001 (0.002)	Loss 2.1341 (2.1565)	Prec@1 43.750 (45.390)	Prec@5 75.000 (76.004)
Epoch: [58][5700/14090]	Time 0.764 (0.769)	Data 0.001 (0.002)	Loss 2.0362 (2.1567)	Prec@1 46.094 (45.387)	Prec@5 80.469 (76.003)
Epoch: [58][5710/14090]	Time 0.762 (0.769)	Data 0.001 (0.002)	Loss 2.3446 (2.1568)	Prec@1 39.844 (45.383)	Prec@5 73.438 (76.000)
Epoch: [58][5720/14090]	Time 0.755 (0.769)	Data 0.001 (0.002)	Loss 1.7976 (2.1568)	Prec@1 53.125 (45.385)	Prec@5 84.375 (76.000)
Epoch: [58][5730/14090]	Time 0.754 (0.769)	Data 0.001 (0.002)	Loss 2.0686 (2.1566)	Prec@1 46.094 (45.388)	Prec@5 77.344 (76.003)
Epoch: [58][5740/14090]	Time 0.747 (0.769)	Data 0.001 (0.002)	Loss 2.0609 (2.1566)	Prec@1 48.438 (45.388)	Prec@5 75.781 (76.004)
Epoch: [58][5750/14090]	Time 0.728 (0.769)	Data 0.001 (0.002)	Loss 2.2845 (2.1566)	Prec@1 46.875 (45.389)	Prec@5 75.000 (76.003)
Epoch: [58][5760/14090]	Time 0.860 (0.769)	Data 0.001 (0.002)	Loss 2.0654 (2.1567)	Prec@1 42.969 (45.387)	Prec@5 78.906 (76.002)
Epoch: [58][5770/14090]	Time 0.735 (0.769)	Data 0.001 (0.002)	Loss 2.0954 (2.1566)	Prec@1 50.000 (45.392)	Prec@5 75.781 (76.002)
Epoch: [58][5780/14090]	Time 0.744 (0.769)	Data 0.001 (0.002)	Loss 2.4728 (2.1566)	Prec@1 43.750 (45.392)	Prec@5 67.969 (76.003)
Epoch: [58][5790/14090]	Time 0.733 (0.769)	Data 0.001 (0.002)	Loss 2.0901 (2.1566)	Prec@1 46.875 (45.394)	Prec@5 73.438 (76.002)
Epoch: [58][5800/14090]	Time 0.747 (0.768)	Data 0.001 (0.002)	Loss 2.0085 (2.1566)	Prec@1 53.125 (45.397)	Prec@5 78.125 (76.003)
Epoch: [58][5810/14090]	Time 0.739 (0.768)	Data 0.001 (0.002)	Loss 1.9259 (2.1565)	Prec@1 47.656 (45.399)	Prec@5 75.781 (76.003)
Epoch: [58][5820/14090]	Time 0.745 (0.768)	Data 0.001 (0.002)	Loss 2.5197 (2.1566)	Prec@1 33.594 (45.397)	Prec@5 67.188 (76.000)
Epoch: [58][5830/14090]	Time 0.836 (0.768)	Data 0.001 (0.002)	Loss 2.4901 (2.1567)	Prec@1 39.844 (45.396)	Prec@5 72.656 (76.001)
Epoch: [58][5840/14090]	Time 0.750 (0.768)	Data 0.001 (0.002)	Loss 2.0192 (2.1564)	Prec@1 43.750 (45.397)	Prec@5 80.469 (76.007)
Epoch: [58][5850/14090]	Time 0.746 (0.769)	Data 0.001 (0.002)	Loss 2.3504 (2.1565)	Prec@1 41.406 (45.396)	Prec@5 75.000 (76.008)
Epoch: [58][5860/14090]	Time 0.733 (0.769)	Data 0.001 (0.002)	Loss 2.0126 (2.1565)	Prec@1 49.219 (45.394)	Prec@5 82.812 (76.005)
Epoch: [58][5870/14090]	Time 0.736 (0.769)	Data 0.001 (0.002)	Loss 2.1499 (2.1566)	Prec@1 46.094 (45.394)	Prec@5 76.562 (76.001)
Epoch: [58][5880/14090]	Time 0.751 (0.769)	Data 0.001 (0.002)	Loss 2.0875 (2.1567)	Prec@1 49.219 (45.392)	Prec@5 78.906 (75.999)
Epoch: [58][5890/14090]	Time 0.739 (0.769)	Data 0.001 (0.002)	Loss 2.2077 (2.1568)	Prec@1 44.531 (45.390)	Prec@5 71.875 (75.996)
Epoch: [58][5900/14090]	Time 0.918 (0.769)	Data 0.001 (0.002)	Loss 2.2270 (2.1568)	Prec@1 44.531 (45.390)	Prec@5 71.094 (75.994)
Epoch: [58][5910/14090]	Time 0.739 (0.769)	Data 0.001 (0.002)	Loss 2.2023 (2.1570)	Prec@1 42.969 (45.388)	Prec@5 75.000 (75.990)
Epoch: [58][5920/14090]	Time 0.735 (0.769)	Data 0.001 (0.002)	Loss 2.6646 (2.1573)	Prec@1 39.844 (45.384)	Prec@5 64.844 (75.986)
Epoch: [58][5930/14090]	Time 0.744 (0.769)	Data 0.001 (0.002)	Loss 2.3206 (2.1572)	Prec@1 44.531 (45.390)	Prec@5 74.219 (75.989)
Epoch: [58][5940/14090]	Time 0.783 (0.769)	Data 0.001 (0.002)	Loss 1.9776 (2.1571)	Prec@1 50.000 (45.393)	Prec@5 78.906 (75.989)
Epoch: [58][5950/14090]	Time 0.729 (0.769)	Data 0.001 (0.002)	Loss 2.0272 (2.1569)	Prec@1 48.438 (45.395)	Prec@5 76.562 (75.993)
Epoch: [58][5960/14090]	Time 0.731 (0.769)	Data 0.001 (0.002)	Loss 1.9935 (2.1569)	Prec@1 48.438 (45.396)	Prec@5 77.344 (75.994)
Epoch: [58][5970/14090]	Time 0.909 (0.769)	Data 0.001 (0.002)	Loss 2.2866 (2.1569)	Prec@1 42.188 (45.398)	Prec@5 72.656 (75.992)
Epoch: [58][5980/14090]	Time 0.750 (0.769)	Data 0.001 (0.002)	Loss 2.4703 (2.1570)	Prec@1 39.844 (45.396)	Prec@5 67.969 (75.990)
Epoch: [58][5990/14090]	Time 0.781 (0.769)	Data 0.001 (0.002)	Loss 2.2782 (2.1571)	Prec@1 41.406 (45.397)	Prec@5 75.000 (75.989)
Epoch: [58][6000/14090]	Time 0.726 (0.769)	Data 0.001 (0.002)	Loss 1.8695 (2.1571)	Prec@1 55.469 (45.399)	Prec@5 81.250 (75.990)
Epoch: [58][6010/14090]	Time 0.730 (0.769)	Data 0.001 (0.002)	Loss 2.1148 (2.1572)	Prec@1 50.781 (45.399)	Prec@5 75.000 (75.985)
Epoch: [58][6020/14090]	Time 0.735 (0.769)	Data 0.001 (0.002)	Loss 2.0285 (2.1572)	Prec@1 46.094 (45.396)	Prec@5 78.125 (75.983)
Epoch: [58][6030/14090]	Time 0.740 (0.769)	Data 0.001 (0.002)	Loss 2.4771 (2.1573)	Prec@1 38.281 (45.396)	Prec@5 69.531 (75.983)
Epoch: [58][6040/14090]	Time 0.882 (0.769)	Data 0.001 (0.002)	Loss 1.9306 (2.1572)	Prec@1 50.000 (45.399)	Prec@5 76.562 (75.983)
Epoch: [58][6050/14090]	Time 0.751 (0.769)	Data 0.001 (0.002)	Loss 2.2726 (2.1574)	Prec@1 41.406 (45.396)	Prec@5 75.781 (75.982)
Epoch: [58][6060/14090]	Time 0.739 (0.768)	Data 0.001 (0.002)	Loss 2.4083 (2.1573)	Prec@1 44.531 (45.401)	Prec@5 71.875 (75.986)
Epoch: [58][6070/14090]	Time 0.759 (0.769)	Data 0.001 (0.002)	Loss 2.4347 (2.1574)	Prec@1 41.406 (45.397)	Prec@5 73.438 (75.983)
Epoch: [58][6080/14090]	Time 0.725 (0.769)	Data 0.001 (0.002)	Loss 2.0243 (2.1575)	Prec@1 46.875 (45.396)	Prec@5 78.125 (75.982)
Epoch: [58][6090/14090]	Time 0.765 (0.769)	Data 0.001 (0.002)	Loss 1.6524 (2.1575)	Prec@1 56.250 (45.396)	Prec@5 82.812 (75.979)
Epoch: [58][6100/14090]	Time 0.750 (0.769)	Data 0.001 (0.002)	Loss 2.3455 (2.1577)	Prec@1 41.406 (45.394)	Prec@5 68.750 (75.977)
Epoch: [58][6110/14090]	Time 0.874 (0.769)	Data 0.001 (0.002)	Loss 2.0375 (2.1577)	Prec@1 49.219 (45.393)	Prec@5 80.469 (75.978)
Epoch: [58][6120/14090]	Time 0.722 (0.768)	Data 0.001 (0.002)	Loss 2.1281 (2.1577)	Prec@1 48.438 (45.392)	Prec@5 75.000 (75.978)
Epoch: [58][6130/14090]	Time 0.739 (0.768)	Data 0.001 (0.002)	Loss 2.1244 (2.1577)	Prec@1 45.312 (45.392)	Prec@5 77.344 (75.980)
Epoch: [58][6140/14090]	Time 0.762 (0.768)	Data 0.001 (0.002)	Loss 2.0080 (2.1577)	Prec@1 46.875 (45.388)	Prec@5 77.344 (75.980)
Epoch: [58][6150/14090]	Time 0.746 (0.768)	Data 0.001 (0.002)	Loss 2.0792 (2.1577)	Prec@1 48.438 (45.389)	Prec@5 73.438 (75.983)
Epoch: [58][6160/14090]	Time 0.746 (0.768)	Data 0.001 (0.002)	Loss 2.2118 (2.1576)	Prec@1 43.750 (45.390)	Prec@5 70.312 (75.984)
Epoch: [58][6170/14090]	Time 0.744 (0.768)	Data 0.001 (0.002)	Loss 2.1854 (2.1576)	Prec@1 46.875 (45.392)	Prec@5 73.438 (75.983)
Epoch: [58][6180/14090]	Time 0.874 (0.768)	Data 0.001 (0.002)	Loss 2.2349 (2.1577)	Prec@1 48.438 (45.390)	Prec@5 71.875 (75.982)
Epoch: [58][6190/14090]	Time 0.727 (0.768)	Data 0.001 (0.002)	Loss 2.3273 (2.1575)	Prec@1 43.750 (45.394)	Prec@5 71.094 (75.985)
Epoch: [58][6200/14090]	Time 0.725 (0.768)	Data 0.001 (0.002)	Loss 2.2291 (2.1575)	Prec@1 46.875 (45.394)	Prec@5 76.562 (75.986)
Epoch: [58][6210/14090]	Time 0.726 (0.768)	Data 0.001 (0.002)	Loss 2.1925 (2.1575)	Prec@1 41.406 (45.395)	Prec@5 78.125 (75.987)
Epoch: [58][6220/14090]	Time 0.781 (0.768)	Data 0.001 (0.002)	Loss 2.1459 (2.1576)	Prec@1 42.969 (45.395)	Prec@5 72.656 (75.985)
Epoch: [58][6230/14090]	Time 0.744 (0.768)	Data 0.001 (0.002)	Loss 2.0195 (2.1576)	Prec@1 46.875 (45.392)	Prec@5 79.688 (75.986)
Epoch: [58][6240/14090]	Time 0.784 (0.768)	Data 0.001 (0.002)	Loss 2.1864 (2.1576)	Prec@1 45.312 (45.391)	Prec@5 74.219 (75.988)
Epoch: [58][6250/14090]	Time 0.873 (0.768)	Data 0.001 (0.002)	Loss 2.1286 (2.1576)	Prec@1 37.500 (45.389)	Prec@5 77.344 (75.987)
Epoch: [58][6260/14090]	Time 0.766 (0.768)	Data 0.001 (0.002)	Loss 2.1046 (2.1577)	Prec@1 52.344 (45.391)	Prec@5 76.562 (75.986)
Epoch: [58][6270/14090]	Time 0.743 (0.768)	Data 0.001 (0.002)	Loss 1.9763 (2.1576)	Prec@1 48.438 (45.390)	Prec@5 75.000 (75.985)
Epoch: [58][6280/14090]	Time 0.754 (0.768)	Data 0.001 (0.002)	Loss 2.0004 (2.1578)	Prec@1 45.312 (45.382)	Prec@5 78.125 (75.982)
Epoch: [58][6290/14090]	Time 0.766 (0.768)	Data 0.001 (0.002)	Loss 2.2406 (2.1579)	Prec@1 37.500 (45.380)	Prec@5 78.125 (75.980)
Epoch: [58][6300/14090]	Time 0.748 (0.768)	Data 0.001 (0.002)	Loss 2.0547 (2.1579)	Prec@1 47.656 (45.380)	Prec@5 77.344 (75.979)
Epoch: [58][6310/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 2.2708 (2.1578)	Prec@1 42.969 (45.382)	Prec@5 72.656 (75.982)
Epoch: [58][6320/14090]	Time 0.853 (0.768)	Data 0.001 (0.002)	Loss 2.2469 (2.1578)	Prec@1 41.406 (45.382)	Prec@5 78.125 (75.981)
Epoch: [58][6330/14090]	Time 0.741 (0.768)	Data 0.001 (0.002)	Loss 2.0563 (2.1578)	Prec@1 49.219 (45.384)	Prec@5 76.562 (75.979)
Epoch: [58][6340/14090]	Time 0.732 (0.768)	Data 0.001 (0.002)	Loss 2.1808 (2.1580)	Prec@1 43.750 (45.377)	Prec@5 75.781 (75.979)
Epoch: [58][6350/14090]	Time 0.722 (0.768)	Data 0.001 (0.002)	Loss 2.1181 (2.1579)	Prec@1 44.531 (45.376)	Prec@5 74.219 (75.981)
Epoch: [58][6360/14090]	Time 0.745 (0.768)	Data 0.001 (0.002)	Loss 2.2598 (2.1580)	Prec@1 43.750 (45.377)	Prec@5 77.344 (75.982)
Epoch: [58][6370/14090]	Time 0.758 (0.768)	Data 0.001 (0.002)	Loss 2.2148 (2.1579)	Prec@1 41.406 (45.379)	Prec@5 77.344 (75.984)
Epoch: [58][6380/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 2.4470 (2.1580)	Prec@1 37.500 (45.380)	Prec@5 67.969 (75.982)
Epoch: [58][6390/14090]	Time 0.897 (0.768)	Data 0.001 (0.002)	Loss 1.9999 (2.1579)	Prec@1 46.094 (45.378)	Prec@5 81.250 (75.982)
Epoch: [58][6400/14090]	Time 0.741 (0.768)	Data 0.001 (0.002)	Loss 2.3180 (2.1580)	Prec@1 43.750 (45.379)	Prec@5 72.656 (75.980)
Epoch: [58][6410/14090]	Time 0.764 (0.768)	Data 0.001 (0.002)	Loss 2.4096 (2.1580)	Prec@1 39.844 (45.379)	Prec@5 67.188 (75.982)
Epoch: [58][6420/14090]	Time 0.730 (0.768)	Data 0.001 (0.002)	Loss 2.1133 (2.1580)	Prec@1 47.656 (45.377)	Prec@5 72.656 (75.979)
Epoch: [58][6430/14090]	Time 0.756 (0.768)	Data 0.001 (0.002)	Loss 2.0689 (2.1581)	Prec@1 52.344 (45.379)	Prec@5 80.469 (75.982)
Epoch: [58][6440/14090]	Time 0.762 (0.768)	Data 0.001 (0.002)	Loss 2.0041 (2.1580)	Prec@1 47.656 (45.379)	Prec@5 78.906 (75.985)
Epoch: [58][6450/14090]	Time 0.774 (0.768)	Data 0.001 (0.002)	Loss 2.3234 (2.1579)	Prec@1 40.625 (45.380)	Prec@5 74.219 (75.988)
Epoch: [58][6460/14090]	Time 0.937 (0.768)	Data 0.001 (0.002)	Loss 2.3093 (2.1580)	Prec@1 46.094 (45.379)	Prec@5 71.094 (75.987)
Epoch: [58][6470/14090]	Time 0.728 (0.768)	Data 0.001 (0.002)	Loss 2.0795 (2.1579)	Prec@1 47.656 (45.381)	Prec@5 79.688 (75.987)
Epoch: [58][6480/14090]	Time 0.743 (0.768)	Data 0.001 (0.002)	Loss 2.2608 (2.1579)	Prec@1 42.969 (45.380)	Prec@5 72.656 (75.986)
Epoch: [58][6490/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 1.7748 (2.1578)	Prec@1 59.375 (45.386)	Prec@5 80.469 (75.987)
Epoch: [58][6500/14090]	Time 0.729 (0.768)	Data 0.001 (0.002)	Loss 2.1421 (2.1577)	Prec@1 47.656 (45.387)	Prec@5 80.469 (75.989)
Epoch: [58][6510/14090]	Time 0.729 (0.768)	Data 0.001 (0.002)	Loss 2.1685 (2.1579)	Prec@1 44.531 (45.385)	Prec@5 75.781 (75.987)
Epoch: [58][6520/14090]	Time 0.739 (0.768)	Data 0.001 (0.002)	Loss 2.0501 (2.1577)	Prec@1 44.531 (45.390)	Prec@5 76.562 (75.990)
Epoch: [58][6530/14090]	Time 0.885 (0.768)	Data 0.001 (0.002)	Loss 2.0647 (2.1578)	Prec@1 48.438 (45.389)	Prec@5 78.125 (75.991)
Epoch: [58][6540/14090]	Time 0.753 (0.768)	Data 0.001 (0.002)	Loss 2.2213 (2.1578)	Prec@1 36.719 (45.387)	Prec@5 72.656 (75.992)
Epoch: [58][6550/14090]	Time 0.756 (0.768)	Data 0.001 (0.002)	Loss 2.0276 (2.1577)	Prec@1 49.219 (45.388)	Prec@5 77.344 (75.992)
Epoch: [58][6560/14090]	Time 0.729 (0.768)	Data 0.001 (0.002)	Loss 2.0974 (2.1576)	Prec@1 43.750 (45.387)	Prec@5 76.562 (75.993)
Epoch: [58][6570/14090]	Time 0.752 (0.768)	Data 0.001 (0.002)	Loss 1.9468 (2.1575)	Prec@1 47.656 (45.389)	Prec@5 77.344 (75.994)
Epoch: [58][6580/14090]	Time 0.758 (0.768)	Data 0.001 (0.002)	Loss 2.1734 (2.1577)	Prec@1 42.188 (45.390)	Prec@5 75.781 (75.991)
Epoch: [58][6590/14090]	Time 0.722 (0.768)	Data 0.001 (0.002)	Loss 1.8360 (2.1578)	Prec@1 48.438 (45.387)	Prec@5 81.250 (75.990)
Epoch: [58][6600/14090]	Time 0.858 (0.768)	Data 0.001 (0.002)	Loss 2.2311 (2.1578)	Prec@1 44.531 (45.387)	Prec@5 74.219 (75.988)
Epoch: [58][6610/14090]	Time 0.735 (0.768)	Data 0.001 (0.002)	Loss 2.4224 (2.1578)	Prec@1 42.188 (45.390)	Prec@5 75.781 (75.989)
Epoch: [58][6620/14090]	Time 0.769 (0.768)	Data 0.001 (0.002)	Loss 1.9907 (2.1578)	Prec@1 50.000 (45.390)	Prec@5 77.344 (75.991)
Epoch: [58][6630/14090]	Time 0.755 (0.768)	Data 0.001 (0.002)	Loss 2.1992 (2.1578)	Prec@1 46.094 (45.390)	Prec@5 72.656 (75.989)
Epoch: [58][6640/14090]	Time 0.735 (0.768)	Data 0.001 (0.002)	Loss 2.0435 (2.1579)	Prec@1 48.438 (45.391)	Prec@5 76.562 (75.990)
Epoch: [58][6650/14090]	Time 0.739 (0.768)	Data 0.001 (0.002)	Loss 2.0639 (2.1578)	Prec@1 46.094 (45.394)	Prec@5 76.562 (75.990)
Epoch: [58][6660/14090]	Time 0.734 (0.768)	Data 0.001 (0.002)	Loss 2.1618 (2.1578)	Prec@1 44.531 (45.392)	Prec@5 73.438 (75.991)
Epoch: [58][6670/14090]	Time 0.846 (0.768)	Data 0.001 (0.002)	Loss 2.3160 (2.1579)	Prec@1 43.750 (45.387)	Prec@5 71.094 (75.990)
Epoch: [58][6680/14090]	Time 0.755 (0.768)	Data 0.001 (0.002)	Loss 2.1971 (2.1581)	Prec@1 40.625 (45.382)	Prec@5 75.000 (75.986)
Epoch: [58][6690/14090]	Time 0.757 (0.768)	Data 0.001 (0.002)	Loss 1.9521 (2.1582)	Prec@1 47.656 (45.379)	Prec@5 79.688 (75.985)
Epoch: [58][6700/14090]	Time 0.771 (0.768)	Data 0.001 (0.002)	Loss 2.3071 (2.1583)	Prec@1 42.188 (45.377)	Prec@5 74.219 (75.984)
Epoch: [58][6710/14090]	Time 0.747 (0.768)	Data 0.001 (0.002)	Loss 2.2729 (2.1584)	Prec@1 44.531 (45.374)	Prec@5 73.438 (75.983)
Epoch: [58][6720/14090]	Time 0.733 (0.768)	Data 0.001 (0.002)	Loss 2.3362 (2.1584)	Prec@1 40.625 (45.372)	Prec@5 75.000 (75.983)
Epoch: [58][6730/14090]	Time 0.752 (0.768)	Data 0.001 (0.002)	Loss 2.0418 (2.1584)	Prec@1 47.656 (45.375)	Prec@5 78.906 (75.984)
Epoch: [58][6740/14090]	Time 0.888 (0.768)	Data 0.001 (0.002)	Loss 2.1734 (2.1583)	Prec@1 39.062 (45.377)	Prec@5 75.781 (75.986)
Epoch: [58][6750/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 1.9282 (2.1583)	Prec@1 50.781 (45.377)	Prec@5 78.906 (75.989)
Epoch: [58][6760/14090]	Time 0.735 (0.768)	Data 0.001 (0.002)	Loss 2.0498 (2.1584)	Prec@1 43.750 (45.376)	Prec@5 77.344 (75.986)
Epoch: [58][6770/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 2.0469 (2.1584)	Prec@1 48.438 (45.376)	Prec@5 78.125 (75.987)
Epoch: [58][6780/14090]	Time 0.730 (0.768)	Data 0.002 (0.002)	Loss 2.2045 (2.1584)	Prec@1 51.562 (45.378)	Prec@5 77.344 (75.987)
Epoch: [58][6790/14090]	Time 0.745 (0.768)	Data 0.001 (0.002)	Loss 2.1005 (2.1584)	Prec@1 57.031 (45.378)	Prec@5 81.250 (75.989)
Epoch: [58][6800/14090]	Time 0.724 (0.768)	Data 0.001 (0.002)	Loss 2.1468 (2.1583)	Prec@1 43.750 (45.379)	Prec@5 80.469 (75.990)
Epoch: [58][6810/14090]	Time 0.884 (0.768)	Data 0.001 (0.002)	Loss 2.3588 (2.1583)	Prec@1 38.281 (45.379)	Prec@5 71.875 (75.990)
Epoch: [58][6820/14090]	Time 0.739 (0.768)	Data 0.001 (0.002)	Loss 2.4720 (2.1583)	Prec@1 35.938 (45.379)	Prec@5 72.656 (75.991)
Epoch: [58][6830/14090]	Time 0.743 (0.768)	Data 0.001 (0.002)	Loss 1.9714 (2.1582)	Prec@1 49.219 (45.380)	Prec@5 79.688 (75.992)
Epoch: [58][6840/14090]	Time 0.730 (0.768)	Data 0.001 (0.002)	Loss 2.2938 (2.1582)	Prec@1 37.500 (45.379)	Prec@5 74.219 (75.991)
Epoch: [58][6850/14090]	Time 0.753 (0.768)	Data 0.001 (0.002)	Loss 2.0687 (2.1583)	Prec@1 44.531 (45.376)	Prec@5 80.469 (75.992)
Epoch: [58][6860/14090]	Time 0.731 (0.768)	Data 0.001 (0.002)	Loss 2.0566 (2.1583)	Prec@1 42.969 (45.375)	Prec@5 79.688 (75.992)
Epoch: [58][6870/14090]	Time 0.732 (0.768)	Data 0.001 (0.002)	Loss 2.3363 (2.1584)	Prec@1 44.531 (45.373)	Prec@5 75.000 (75.990)
Epoch: [58][6880/14090]	Time 0.867 (0.768)	Data 0.001 (0.002)	Loss 2.3951 (2.1586)	Prec@1 42.188 (45.369)	Prec@5 71.094 (75.987)
Epoch: [58][6890/14090]	Time 0.760 (0.768)	Data 0.001 (0.002)	Loss 2.2740 (2.1585)	Prec@1 42.188 (45.371)	Prec@5 73.438 (75.987)
Epoch: [58][6900/14090]	Time 0.753 (0.768)	Data 0.001 (0.002)	Loss 2.2188 (2.1585)	Prec@1 43.750 (45.370)	Prec@5 76.562 (75.989)
Epoch: [58][6910/14090]	Time 0.759 (0.768)	Data 0.001 (0.002)	Loss 2.0542 (2.1586)	Prec@1 48.438 (45.368)	Prec@5 79.688 (75.989)
Epoch: [58][6920/14090]	Time 0.749 (0.768)	Data 0.001 (0.002)	Loss 2.7451 (2.1589)	Prec@1 39.844 (45.365)	Prec@5 63.281 (75.987)
Epoch: [58][6930/14090]	Time 0.745 (0.768)	Data 0.001 (0.002)	Loss 2.0596 (2.1589)	Prec@1 44.531 (45.365)	Prec@5 73.438 (75.984)
Epoch: [58][6940/14090]	Time 0.770 (0.768)	Data 0.001 (0.002)	Loss 2.3447 (2.1591)	Prec@1 42.188 (45.361)	Prec@5 65.625 (75.981)
Epoch: [58][6950/14090]	Time 0.874 (0.768)	Data 0.001 (0.002)	Loss 2.1573 (2.1591)	Prec@1 50.781 (45.362)	Prec@5 74.219 (75.981)
Epoch: [58][6960/14090]	Time 0.768 (0.768)	Data 0.001 (0.002)	Loss 2.4159 (2.1592)	Prec@1 38.281 (45.360)	Prec@5 75.781 (75.980)
Epoch: [58][6970/14090]	Time 0.779 (0.768)	Data 0.001 (0.002)	Loss 2.1422 (2.1592)	Prec@1 50.781 (45.363)	Prec@5 75.000 (75.979)
Epoch: [58][6980/14090]	Time 0.730 (0.768)	Data 0.001 (0.002)	Loss 2.3633 (2.1592)	Prec@1 46.094 (45.365)	Prec@5 71.094 (75.978)
Epoch: [58][6990/14090]	Time 0.757 (0.768)	Data 0.001 (0.002)	Loss 1.9252 (2.1591)	Prec@1 51.562 (45.367)	Prec@5 77.344 (75.980)
Epoch: [58][7000/14090]	Time 0.758 (0.768)	Data 0.001 (0.002)	Loss 1.9770 (2.1590)	Prec@1 50.000 (45.367)	Prec@5 79.688 (75.982)
Epoch: [58][7010/14090]	Time 0.738 (0.768)	Data 0.001 (0.002)	Loss 2.1564 (2.1589)	Prec@1 47.656 (45.370)	Prec@5 78.906 (75.983)
Epoch: [58][7020/14090]	Time 0.893 (0.768)	Data 0.001 (0.002)	Loss 2.0549 (2.1590)	Prec@1 50.000 (45.367)	Prec@5 82.031 (75.982)
Epoch: [58][7030/14090]	Time 0.734 (0.768)	Data 0.001 (0.002)	Loss 2.3055 (2.1591)	Prec@1 40.625 (45.366)	Prec@5 75.000 (75.981)
Epoch: [58][7040/14090]	Time 0.741 (0.768)	Data 0.001 (0.002)	Loss 2.1629 (2.1592)	Prec@1 47.656 (45.364)	Prec@5 75.000 (75.980)
Epoch: [58][7050/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 1.9159 (2.1592)	Prec@1 48.438 (45.361)	Prec@5 82.031 (75.979)
Epoch: [58][7060/14090]	Time 0.785 (0.768)	Data 0.001 (0.002)	Loss 2.0592 (2.1593)	Prec@1 46.875 (45.362)	Prec@5 76.562 (75.976)
Epoch: [58][7070/14090]	Time 0.753 (0.768)	Data 0.001 (0.002)	Loss 2.0829 (2.1593)	Prec@1 46.094 (45.363)	Prec@5 79.688 (75.978)
Epoch: [58][7080/14090]	Time 0.735 (0.768)	Data 0.001 (0.002)	Loss 2.4155 (2.1593)	Prec@1 42.969 (45.362)	Prec@5 74.219 (75.978)
Epoch: [58][7090/14090]	Time 0.916 (0.768)	Data 0.001 (0.002)	Loss 2.1988 (2.1594)	Prec@1 41.406 (45.361)	Prec@5 75.781 (75.976)
Epoch: [58][7100/14090]	Time 0.738 (0.768)	Data 0.001 (0.002)	Loss 2.0298 (2.1594)	Prec@1 46.094 (45.362)	Prec@5 77.344 (75.976)
Epoch: [58][7110/14090]	Time 0.728 (0.768)	Data 0.001 (0.002)	Loss 2.1852 (2.1595)	Prec@1 48.438 (45.358)	Prec@5 76.562 (75.973)
Epoch: [58][7120/14090]	Time 0.760 (0.768)	Data 0.001 (0.002)	Loss 2.2309 (2.1595)	Prec@1 40.625 (45.359)	Prec@5 73.438 (75.973)
Epoch: [58][7130/14090]	Time 0.756 (0.768)	Data 0.001 (0.002)	Loss 2.2084 (2.1595)	Prec@1 41.406 (45.357)	Prec@5 78.906 (75.975)
Epoch: [58][7140/14090]	Time 0.761 (0.768)	Data 0.001 (0.002)	Loss 2.2155 (2.1596)	Prec@1 44.531 (45.358)	Prec@5 75.000 (75.974)
Epoch: [58][7150/14090]	Time 0.724 (0.768)	Data 0.001 (0.002)	Loss 2.0874 (2.1595)	Prec@1 46.094 (45.360)	Prec@5 76.562 (75.974)
Epoch: [58][7160/14090]	Time 0.932 (0.768)	Data 0.001 (0.002)	Loss 2.2518 (2.1595)	Prec@1 42.188 (45.360)	Prec@5 72.656 (75.973)
Epoch: [58][7170/14090]	Time 0.746 (0.768)	Data 0.002 (0.002)	Loss 2.4497 (2.1594)	Prec@1 35.156 (45.361)	Prec@5 75.781 (75.974)
Epoch: [58][7180/14090]	Time 0.731 (0.768)	Data 0.001 (0.002)	Loss 2.3285 (2.1595)	Prec@1 38.281 (45.358)	Prec@5 71.875 (75.973)
Epoch: [58][7190/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 2.3070 (2.1595)	Prec@1 48.438 (45.360)	Prec@5 74.219 (75.973)
Epoch: [58][7200/14090]	Time 0.759 (0.768)	Data 0.001 (0.002)	Loss 2.3631 (2.1596)	Prec@1 42.188 (45.358)	Prec@5 71.094 (75.971)
Epoch: [58][7210/14090]	Time 0.772 (0.768)	Data 0.001 (0.002)	Loss 1.9018 (2.1596)	Prec@1 50.000 (45.360)	Prec@5 80.469 (75.968)
Epoch: [58][7220/14090]	Time 0.778 (0.768)	Data 0.001 (0.002)	Loss 2.2644 (2.1598)	Prec@1 39.844 (45.356)	Prec@5 73.438 (75.965)
Epoch: [58][7230/14090]	Time 0.861 (0.768)	Data 0.001 (0.002)	Loss 2.0690 (2.1598)	Prec@1 42.188 (45.357)	Prec@5 77.344 (75.965)
Epoch: [58][7240/14090]	Time 0.759 (0.768)	Data 0.001 (0.002)	Loss 2.2000 (2.1597)	Prec@1 45.312 (45.358)	Prec@5 74.219 (75.966)
Epoch: [58][7250/14090]	Time 0.750 (0.768)	Data 0.001 (0.002)	Loss 2.4857 (2.1598)	Prec@1 41.406 (45.357)	Prec@5 70.312 (75.964)
Epoch: [58][7260/14090]	Time 0.743 (0.768)	Data 0.001 (0.002)	Loss 1.9806 (2.1598)	Prec@1 53.906 (45.358)	Prec@5 75.000 (75.963)
Epoch: [58][7270/14090]	Time 0.764 (0.768)	Data 0.001 (0.002)	Loss 2.2787 (2.1598)	Prec@1 45.312 (45.359)	Prec@5 72.656 (75.962)
Epoch: [58][7280/14090]	Time 0.764 (0.768)	Data 0.001 (0.002)	Loss 2.0972 (2.1597)	Prec@1 44.531 (45.362)	Prec@5 75.781 (75.966)
Epoch: [58][7290/14090]	Time 0.729 (0.768)	Data 0.001 (0.002)	Loss 2.2084 (2.1597)	Prec@1 43.750 (45.361)	Prec@5 74.219 (75.965)
Epoch: [58][7300/14090]	Time 0.872 (0.768)	Data 0.001 (0.002)	Loss 2.2037 (2.1597)	Prec@1 46.094 (45.362)	Prec@5 77.344 (75.963)
Epoch: [58][7310/14090]	Time 0.731 (0.768)	Data 0.001 (0.002)	Loss 1.9571 (2.1598)	Prec@1 47.656 (45.360)	Prec@5 81.250 (75.964)
Epoch: [58][7320/14090]	Time 0.739 (0.768)	Data 0.001 (0.002)	Loss 2.3730 (2.1598)	Prec@1 39.062 (45.359)	Prec@5 69.531 (75.963)
Epoch: [58][7330/14090]	Time 0.752 (0.768)	Data 0.001 (0.002)	Loss 2.0629 (2.1598)	Prec@1 46.094 (45.359)	Prec@5 77.344 (75.962)
Epoch: [58][7340/14090]	Time 0.739 (0.768)	Data 0.001 (0.002)	Loss 2.1638 (2.1598)	Prec@1 43.750 (45.358)	Prec@5 75.781 (75.960)
Epoch: [58][7350/14090]	Time 0.736 (0.768)	Data 0.001 (0.002)	Loss 2.5646 (2.1599)	Prec@1 36.719 (45.354)	Prec@5 67.188 (75.959)
Epoch: [58][7360/14090]	Time 0.755 (0.768)	Data 0.001 (0.002)	Loss 2.3798 (2.1598)	Prec@1 40.625 (45.356)	Prec@5 70.312 (75.961)
Epoch: [58][7370/14090]	Time 0.914 (0.768)	Data 0.001 (0.002)	Loss 2.0863 (2.1599)	Prec@1 45.312 (45.354)	Prec@5 77.344 (75.960)
Epoch: [58][7380/14090]	Time 0.725 (0.768)	Data 0.001 (0.002)	Loss 2.3351 (2.1600)	Prec@1 39.844 (45.352)	Prec@5 74.219 (75.957)
Epoch: [58][7390/14090]	Time 0.760 (0.768)	Data 0.001 (0.002)	Loss 2.1648 (2.1600)	Prec@1 45.312 (45.353)	Prec@5 78.906 (75.959)
Epoch: [58][7400/14090]	Time 0.748 (0.768)	Data 0.001 (0.002)	Loss 2.2610 (2.1602)	Prec@1 42.188 (45.350)	Prec@5 78.906 (75.956)
Epoch: [58][7410/14090]	Time 0.728 (0.768)	Data 0.001 (0.002)	Loss 2.2569 (2.1602)	Prec@1 46.875 (45.350)	Prec@5 76.562 (75.955)
Epoch: [58][7420/14090]	Time 0.765 (0.768)	Data 0.001 (0.002)	Loss 1.8631 (2.1601)	Prec@1 54.688 (45.351)	Prec@5 80.469 (75.954)
Epoch: [58][7430/14090]	Time 0.747 (0.768)	Data 0.001 (0.002)	Loss 2.2926 (2.1602)	Prec@1 44.531 (45.351)	Prec@5 78.125 (75.954)
Epoch: [58][7440/14090]	Time 0.884 (0.768)	Data 0.001 (0.002)	Loss 2.4735 (2.1602)	Prec@1 39.844 (45.348)	Prec@5 67.188 (75.952)
Epoch: [58][7450/14090]	Time 0.762 (0.768)	Data 0.001 (0.002)	Loss 2.2511 (2.1603)	Prec@1 42.969 (45.345)	Prec@5 76.562 (75.950)
Epoch: [58][7460/14090]	Time 0.749 (0.768)	Data 0.001 (0.002)	Loss 2.0518 (2.1604)	Prec@1 46.875 (45.343)	Prec@5 75.000 (75.948)
Epoch: [58][7470/14090]	Time 0.734 (0.768)	Data 0.001 (0.002)	Loss 2.3517 (2.1605)	Prec@1 46.094 (45.343)	Prec@5 69.531 (75.943)
Epoch: [58][7480/14090]	Time 0.737 (0.768)	Data 0.002 (0.002)	Loss 2.1366 (2.1607)	Prec@1 44.531 (45.339)	Prec@5 73.438 (75.938)
Epoch: [58][7490/14090]	Time 0.737 (0.768)	Data 0.001 (0.002)	Loss 2.2872 (2.1608)	Prec@1 39.844 (45.338)	Prec@5 75.781 (75.936)
Epoch: [58][7500/14090]	Time 0.733 (0.768)	Data 0.001 (0.002)	Loss 2.0188 (2.1607)	Prec@1 50.000 (45.339)	Prec@5 77.344 (75.935)
Epoch: [58][7510/14090]	Time 0.851 (0.768)	Data 0.001 (0.002)	Loss 2.2641 (2.1607)	Prec@1 42.188 (45.340)	Prec@5 72.656 (75.937)
Epoch: [58][7520/14090]	Time 0.730 (0.768)	Data 0.001 (0.002)	Loss 2.1216 (2.1608)	Prec@1 45.312 (45.336)	Prec@5 76.562 (75.936)
Epoch: [58][7530/14090]	Time 0.749 (0.768)	Data 0.001 (0.002)	Loss 2.1410 (2.1609)	Prec@1 44.531 (45.336)	Prec@5 74.219 (75.934)
Epoch: [58][7540/14090]	Time 0.733 (0.768)	Data 0.001 (0.002)	Loss 2.3240 (2.1608)	Prec@1 36.719 (45.335)	Prec@5 71.094 (75.934)
Epoch: [58][7550/14090]	Time 0.738 (0.768)	Data 0.001 (0.002)	Loss 2.3290 (2.1609)	Prec@1 41.406 (45.334)	Prec@5 72.656 (75.932)
Epoch: [58][7560/14090]	Time 0.737 (0.768)	Data 0.001 (0.002)	Loss 1.8039 (2.1608)	Prec@1 50.000 (45.334)	Prec@5 82.812 (75.934)
Epoch: [58][7570/14090]	Time 0.736 (0.768)	Data 0.001 (0.002)	Loss 2.0835 (2.1608)	Prec@1 43.750 (45.333)	Prec@5 76.562 (75.934)
Epoch: [58][7580/14090]	Time 0.839 (0.768)	Data 0.001 (0.002)	Loss 1.9008 (2.1606)	Prec@1 48.438 (45.336)	Prec@5 78.906 (75.935)
Epoch: [58][7590/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 1.8697 (2.1606)	Prec@1 53.125 (45.337)	Prec@5 78.125 (75.936)
Epoch: [58][7600/14090]	Time 0.746 (0.768)	Data 0.001 (0.002)	Loss 2.1401 (2.1607)	Prec@1 45.312 (45.333)	Prec@5 78.125 (75.934)
Epoch: [58][7610/14090]	Time 0.756 (0.768)	Data 0.002 (0.002)	Loss 2.1824 (2.1607)	Prec@1 49.219 (45.334)	Prec@5 75.000 (75.936)
Epoch: [58][7620/14090]	Time 0.763 (0.768)	Data 0.001 (0.002)	Loss 1.9064 (2.1606)	Prec@1 53.906 (45.336)	Prec@5 78.125 (75.937)
Epoch: [58][7630/14090]	Time 0.754 (0.768)	Data 0.001 (0.002)	Loss 2.0212 (2.1607)	Prec@1 46.875 (45.336)	Prec@5 75.781 (75.937)
Epoch: [58][7640/14090]	Time 0.729 (0.768)	Data 0.001 (0.002)	Loss 2.1095 (2.1606)	Prec@1 42.188 (45.335)	Prec@5 72.656 (75.937)
Epoch: [58][7650/14090]	Time 0.849 (0.768)	Data 0.001 (0.002)	Loss 2.3170 (2.1607)	Prec@1 40.625 (45.334)	Prec@5 76.562 (75.935)
Epoch: [58][7660/14090]	Time 0.729 (0.768)	Data 0.001 (0.002)	Loss 2.4151 (2.1608)	Prec@1 39.844 (45.332)	Prec@5 73.438 (75.933)
Epoch: [58][7670/14090]	Time 0.721 (0.768)	Data 0.001 (0.002)	Loss 2.1148 (2.1608)	Prec@1 47.656 (45.332)	Prec@5 78.125 (75.932)
Epoch: [58][7680/14090]	Time 0.780 (0.768)	Data 0.001 (0.002)	Loss 2.0207 (2.1607)	Prec@1 48.438 (45.334)	Prec@5 78.906 (75.932)
Epoch: [58][7690/14090]	Time 0.738 (0.768)	Data 0.001 (0.002)	Loss 2.3342 (2.1608)	Prec@1 44.531 (45.334)	Prec@5 71.875 (75.928)
Epoch: [58][7700/14090]	Time 0.755 (0.768)	Data 0.001 (0.002)	Loss 2.0277 (2.1608)	Prec@1 47.656 (45.333)	Prec@5 83.594 (75.928)
Epoch: [58][7710/14090]	Time 0.746 (0.768)	Data 0.001 (0.002)	Loss 1.9937 (2.1607)	Prec@1 46.094 (45.335)	Prec@5 79.688 (75.931)
Epoch: [58][7720/14090]	Time 0.879 (0.768)	Data 0.001 (0.002)	Loss 2.1850 (2.1607)	Prec@1 41.406 (45.336)	Prec@5 74.219 (75.930)
Epoch: [58][7730/14090]	Time 0.745 (0.768)	Data 0.001 (0.002)	Loss 2.1100 (2.1608)	Prec@1 46.094 (45.333)	Prec@5 75.000 (75.929)
Epoch: [58][7740/14090]	Time 0.760 (0.768)	Data 0.001 (0.002)	Loss 2.0473 (2.1609)	Prec@1 49.219 (45.332)	Prec@5 77.344 (75.927)
Epoch: [58][7750/14090]	Time 0.730 (0.768)	Data 0.002 (0.002)	Loss 2.4445 (2.1609)	Prec@1 39.844 (45.330)	Prec@5 75.000 (75.927)
Epoch: [58][7760/14090]	Time 0.734 (0.768)	Data 0.001 (0.002)	Loss 2.3275 (2.1610)	Prec@1 41.406 (45.329)	Prec@5 74.219 (75.925)
Epoch: [58][7770/14090]	Time 0.735 (0.768)	Data 0.001 (0.002)	Loss 2.2623 (2.1609)	Prec@1 46.094 (45.331)	Prec@5 70.312 (75.926)
Epoch: [58][7780/14090]	Time 0.756 (0.768)	Data 0.001 (0.002)	Loss 2.4382 (2.1611)	Prec@1 42.188 (45.328)	Prec@5 70.312 (75.922)
Epoch: [58][7790/14090]	Time 0.839 (0.768)	Data 0.001 (0.002)	Loss 2.4070 (2.1612)	Prec@1 38.281 (45.326)	Prec@5 70.312 (75.920)
Epoch: [58][7800/14090]	Time 0.728 (0.768)	Data 0.001 (0.002)	Loss 2.3015 (2.1612)	Prec@1 37.500 (45.325)	Prec@5 74.219 (75.919)
Epoch: [58][7810/14090]	Time 0.760 (0.768)	Data 0.001 (0.002)	Loss 2.0930 (2.1612)	Prec@1 43.750 (45.324)	Prec@5 78.906 (75.918)
Epoch: [58][7820/14090]	Time 0.762 (0.768)	Data 0.002 (0.002)	Loss 2.0154 (2.1612)	Prec@1 48.438 (45.324)	Prec@5 82.812 (75.920)
Epoch: [58][7830/14090]	Time 0.734 (0.768)	Data 0.001 (0.002)	Loss 1.8238 (2.1610)	Prec@1 54.688 (45.328)	Prec@5 82.031 (75.925)
Epoch: [58][7840/14090]	Time 0.734 (0.768)	Data 0.001 (0.002)	Loss 2.2362 (2.1609)	Prec@1 44.531 (45.326)	Prec@5 78.125 (75.925)
Epoch: [58][7850/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 2.1064 (2.1608)	Prec@1 42.969 (45.329)	Prec@5 75.781 (75.926)
Epoch: [58][7860/14090]	Time 0.836 (0.768)	Data 0.001 (0.002)	Loss 2.2083 (2.1608)	Prec@1 42.188 (45.329)	Prec@5 71.875 (75.925)
Epoch: [58][7870/14090]	Time 0.732 (0.768)	Data 0.001 (0.002)	Loss 2.3049 (2.1608)	Prec@1 39.062 (45.329)	Prec@5 71.094 (75.925)
Epoch: [58][7880/14090]	Time 0.760 (0.768)	Data 0.001 (0.002)	Loss 2.1197 (2.1608)	Prec@1 47.656 (45.331)	Prec@5 75.781 (75.924)
Epoch: [58][7890/14090]	Time 0.738 (0.768)	Data 0.001 (0.002)	Loss 2.5277 (2.1609)	Prec@1 36.719 (45.329)	Prec@5 67.969 (75.922)
Epoch: [58][7900/14090]	Time 0.757 (0.768)	Data 0.001 (0.002)	Loss 2.1464 (2.1609)	Prec@1 49.219 (45.328)	Prec@5 73.438 (75.918)
Epoch: [58][7910/14090]	Time 0.744 (0.768)	Data 0.001 (0.002)	Loss 1.9928 (2.1608)	Prec@1 49.219 (45.330)	Prec@5 78.906 (75.921)
Epoch: [58][7920/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 2.1080 (2.1608)	Prec@1 48.438 (45.330)	Prec@5 78.906 (75.922)
Epoch: [58][7930/14090]	Time 0.880 (0.768)	Data 0.001 (0.002)	Loss 2.0470 (2.1608)	Prec@1 46.875 (45.331)	Prec@5 77.344 (75.922)
Epoch: [58][7940/14090]	Time 0.757 (0.768)	Data 0.001 (0.002)	Loss 2.0630 (2.1608)	Prec@1 50.000 (45.330)	Prec@5 79.688 (75.921)
Epoch: [58][7950/14090]	Time 0.758 (0.768)	Data 0.001 (0.002)	Loss 1.8395 (2.1608)	Prec@1 48.438 (45.330)	Prec@5 82.031 (75.919)
Epoch: [58][7960/14090]	Time 0.736 (0.768)	Data 0.001 (0.002)	Loss 2.1010 (2.1608)	Prec@1 46.094 (45.329)	Prec@5 79.688 (75.920)
Epoch: [58][7970/14090]	Time 0.763 (0.768)	Data 0.001 (0.002)	Loss 2.0596 (2.1609)	Prec@1 43.750 (45.326)	Prec@5 74.219 (75.918)
Epoch: [58][7980/14090]	Time 0.755 (0.768)	Data 0.001 (0.002)	Loss 2.2733 (2.1609)	Prec@1 42.969 (45.326)	Prec@5 75.000 (75.919)
Epoch: [58][7990/14090]	Time 0.752 (0.768)	Data 0.001 (0.002)	Loss 2.1089 (2.1609)	Prec@1 45.312 (45.327)	Prec@5 80.469 (75.919)
Epoch: [58][8000/14090]	Time 0.873 (0.768)	Data 0.001 (0.002)	Loss 2.1780 (2.1609)	Prec@1 47.656 (45.329)	Prec@5 75.000 (75.917)
Epoch: [58][8010/14090]	Time 0.738 (0.768)	Data 0.001 (0.002)	Loss 2.1589 (2.1610)	Prec@1 46.094 (45.326)	Prec@5 78.906 (75.917)
Epoch: [58][8020/14090]	Time 0.745 (0.768)	Data 0.001 (0.002)	Loss 2.1603 (2.1609)	Prec@1 41.406 (45.327)	Prec@5 75.781 (75.918)
Epoch: [58][8030/14090]	Time 0.733 (0.768)	Data 0.001 (0.002)	Loss 1.9177 (2.1610)	Prec@1 51.562 (45.325)	Prec@5 78.906 (75.917)
Epoch: [58][8040/14090]	Time 0.759 (0.768)	Data 0.001 (0.002)	Loss 1.9879 (2.1611)	Prec@1 49.219 (45.324)	Prec@5 79.688 (75.915)
Epoch: [58][8050/14090]	Time 0.764 (0.768)	Data 0.001 (0.002)	Loss 2.1887 (2.1611)	Prec@1 50.000 (45.324)	Prec@5 76.562 (75.914)
Epoch: [58][8060/14090]	Time 0.792 (0.768)	Data 0.001 (0.002)	Loss 2.4935 (2.1611)	Prec@1 46.875 (45.325)	Prec@5 66.406 (75.913)
Epoch: [58][8070/14090]	Time 0.836 (0.768)	Data 0.001 (0.002)	Loss 1.9114 (2.1611)	Prec@1 48.438 (45.325)	Prec@5 82.031 (75.912)
Epoch: [58][8080/14090]	Time 0.754 (0.768)	Data 0.001 (0.002)	Loss 2.3654 (2.1612)	Prec@1 43.750 (45.325)	Prec@5 73.438 (75.912)
Epoch: [58][8090/14090]	Time 0.776 (0.768)	Data 0.001 (0.002)	Loss 2.1357 (2.1613)	Prec@1 47.656 (45.324)	Prec@5 75.781 (75.911)
Epoch: [58][8100/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 2.0940 (2.1613)	Prec@1 42.188 (45.325)	Prec@5 78.125 (75.912)
Epoch: [58][8110/14090]	Time 0.750 (0.768)	Data 0.001 (0.002)	Loss 2.2873 (2.1613)	Prec@1 42.969 (45.324)	Prec@5 73.438 (75.912)
Epoch: [58][8120/14090]	Time 0.761 (0.768)	Data 0.001 (0.002)	Loss 2.2483 (2.1613)	Prec@1 39.844 (45.322)	Prec@5 77.344 (75.912)
Epoch: [58][8130/14090]	Time 0.767 (0.768)	Data 0.001 (0.002)	Loss 2.2976 (2.1614)	Prec@1 46.094 (45.323)	Prec@5 74.219 (75.912)
Epoch: [58][8140/14090]	Time 0.873 (0.768)	Data 0.001 (0.002)	Loss 2.5411 (2.1615)	Prec@1 40.625 (45.322)	Prec@5 70.312 (75.911)
Epoch: [58][8150/14090]	Time 0.727 (0.768)	Data 0.001 (0.002)	Loss 1.9390 (2.1615)	Prec@1 46.875 (45.321)	Prec@5 80.469 (75.909)
Epoch: [58][8160/14090]	Time 0.726 (0.768)	Data 0.001 (0.002)	Loss 2.2228 (2.1615)	Prec@1 39.844 (45.321)	Prec@5 76.562 (75.911)
Epoch: [58][8170/14090]	Time 0.737 (0.768)	Data 0.001 (0.002)	Loss 2.1289 (2.1615)	Prec@1 47.656 (45.321)	Prec@5 78.125 (75.911)
Epoch: [58][8180/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 2.2097 (2.1615)	Prec@1 41.406 (45.322)	Prec@5 75.000 (75.910)
Epoch: [58][8190/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 2.3037 (2.1616)	Prec@1 41.406 (45.319)	Prec@5 68.750 (75.908)
Epoch: [58][8200/14090]	Time 0.748 (0.768)	Data 0.001 (0.002)	Loss 2.5316 (2.1616)	Prec@1 36.719 (45.318)	Prec@5 67.188 (75.905)
Epoch: [58][8210/14090]	Time 0.857 (0.768)	Data 0.001 (0.002)	Loss 2.1481 (2.1617)	Prec@1 47.656 (45.318)	Prec@5 78.125 (75.905)
Epoch: [58][8220/14090]	Time 0.737 (0.768)	Data 0.001 (0.002)	Loss 2.1426 (2.1617)	Prec@1 46.875 (45.318)	Prec@5 78.125 (75.906)
Epoch: [58][8230/14090]	Time 0.730 (0.768)	Data 0.001 (0.002)	Loss 2.1956 (2.1617)	Prec@1 45.312 (45.318)	Prec@5 81.250 (75.906)
Epoch: [58][8240/14090]	Time 0.730 (0.768)	Data 0.001 (0.002)	Loss 2.0125 (2.1616)	Prec@1 51.562 (45.320)	Prec@5 77.344 (75.907)
Epoch: [58][8250/14090]	Time 0.735 (0.768)	Data 0.001 (0.002)	Loss 2.0367 (2.1616)	Prec@1 47.656 (45.324)	Prec@5 75.781 (75.906)
Epoch: [58][8260/14090]	Time 0.763 (0.768)	Data 0.001 (0.002)	Loss 2.0636 (2.1615)	Prec@1 47.656 (45.327)	Prec@5 75.781 (75.906)
Epoch: [58][8270/14090]	Time 0.755 (0.768)	Data 0.001 (0.002)	Loss 2.1907 (2.1614)	Prec@1 48.438 (45.328)	Prec@5 75.000 (75.908)
Epoch: [58][8280/14090]	Time 0.852 (0.768)	Data 0.001 (0.002)	Loss 2.2428 (2.1615)	Prec@1 44.531 (45.328)	Prec@5 71.875 (75.906)
Epoch: [58][8290/14090]	Time 0.729 (0.768)	Data 0.001 (0.002)	Loss 2.2767 (2.1615)	Prec@1 43.750 (45.327)	Prec@5 77.344 (75.906)
Epoch: [58][8300/14090]	Time 0.785 (0.768)	Data 0.001 (0.002)	Loss 2.4898 (2.1616)	Prec@1 38.281 (45.324)	Prec@5 73.438 (75.906)
Epoch: [58][8310/14090]	Time 0.725 (0.768)	Data 0.001 (0.002)	Loss 2.1879 (2.1615)	Prec@1 48.438 (45.326)	Prec@5 75.000 (75.907)
Epoch: [58][8320/14090]	Time 0.764 (0.768)	Data 0.001 (0.002)	Loss 2.1917 (2.1615)	Prec@1 42.188 (45.326)	Prec@5 79.688 (75.907)
Epoch: [58][8330/14090]	Time 0.760 (0.768)	Data 0.001 (0.002)	Loss 2.0772 (2.1615)	Prec@1 45.312 (45.327)	Prec@5 77.344 (75.908)
Epoch: [58][8340/14090]	Time 0.746 (0.768)	Data 0.001 (0.002)	Loss 2.4437 (2.1615)	Prec@1 39.844 (45.326)	Prec@5 70.312 (75.907)
Epoch: [58][8350/14090]	Time 0.894 (0.768)	Data 0.001 (0.002)	Loss 2.1429 (2.1615)	Prec@1 47.656 (45.328)	Prec@5 76.562 (75.909)
Epoch: [58][8360/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 2.1477 (2.1615)	Prec@1 48.438 (45.329)	Prec@5 73.438 (75.909)
Epoch: [58][8370/14090]	Time 0.777 (0.768)	Data 0.001 (0.002)	Loss 2.3061 (2.1615)	Prec@1 45.312 (45.331)	Prec@5 72.656 (75.908)
Epoch: [58][8380/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 2.3693 (2.1616)	Prec@1 39.062 (45.330)	Prec@5 74.219 (75.906)
Epoch: [58][8390/14090]	Time 0.733 (0.768)	Data 0.001 (0.002)	Loss 2.1067 (2.1615)	Prec@1 45.312 (45.333)	Prec@5 79.688 (75.908)
Epoch: [58][8400/14090]	Time 0.772 (0.768)	Data 0.001 (0.002)	Loss 2.1784 (2.1616)	Prec@1 39.844 (45.332)	Prec@5 77.344 (75.908)
Epoch: [58][8410/14090]	Time 0.787 (0.768)	Data 0.001 (0.002)	Loss 2.3222 (2.1616)	Prec@1 39.844 (45.331)	Prec@5 75.781 (75.909)
Epoch: [58][8420/14090]	Time 0.879 (0.768)	Data 0.001 (0.002)	Loss 2.2358 (2.1616)	Prec@1 39.844 (45.330)	Prec@5 74.219 (75.907)
Epoch: [58][8430/14090]	Time 0.755 (0.768)	Data 0.001 (0.002)	Loss 2.2065 (2.1615)	Prec@1 45.312 (45.332)	Prec@5 78.906 (75.908)
Epoch: [58][8440/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 2.2708 (2.1616)	Prec@1 44.531 (45.331)	Prec@5 76.562 (75.906)
Epoch: [58][8450/14090]	Time 0.731 (0.768)	Data 0.001 (0.002)	Loss 2.3408 (2.1616)	Prec@1 44.531 (45.334)	Prec@5 70.312 (75.908)
Epoch: [58][8460/14090]	Time 0.757 (0.768)	Data 0.001 (0.002)	Loss 2.1476 (2.1617)	Prec@1 46.094 (45.333)	Prec@5 77.344 (75.906)
Epoch: [58][8470/14090]	Time 0.735 (0.768)	Data 0.001 (0.002)	Loss 1.9294 (2.1616)	Prec@1 54.688 (45.332)	Prec@5 80.469 (75.906)
Epoch: [58][8480/14090]	Time 0.724 (0.768)	Data 0.001 (0.002)	Loss 1.9561 (2.1616)	Prec@1 49.219 (45.332)	Prec@5 82.031 (75.909)
Epoch: [58][8490/14090]	Time 0.880 (0.768)	Data 0.001 (0.002)	Loss 2.1788 (2.1616)	Prec@1 46.875 (45.331)	Prec@5 80.469 (75.910)
Epoch: [58][8500/14090]	Time 0.800 (0.768)	Data 0.001 (0.002)	Loss 2.0161 (2.1616)	Prec@1 43.750 (45.328)	Prec@5 75.781 (75.910)
Epoch: [58][8510/14090]	Time 0.725 (0.768)	Data 0.001 (0.002)	Loss 2.2976 (2.1616)	Prec@1 44.531 (45.327)	Prec@5 72.656 (75.910)
Epoch: [58][8520/14090]	Time 0.729 (0.768)	Data 0.001 (0.002)	Loss 2.1060 (2.1616)	Prec@1 49.219 (45.327)	Prec@5 74.219 (75.909)
Epoch: [58][8530/14090]	Time 0.739 (0.768)	Data 0.001 (0.002)	Loss 2.3550 (2.1616)	Prec@1 43.750 (45.327)	Prec@5 69.531 (75.907)
Epoch: [58][8540/14090]	Time 0.749 (0.768)	Data 0.001 (0.002)	Loss 1.9548 (2.1616)	Prec@1 51.562 (45.329)	Prec@5 78.906 (75.908)
Epoch: [58][8550/14090]	Time 0.738 (0.768)	Data 0.001 (0.002)	Loss 2.3821 (2.1615)	Prec@1 43.750 (45.330)	Prec@5 72.656 (75.909)
Epoch: [58][8560/14090]	Time 0.860 (0.768)	Data 0.001 (0.002)	Loss 2.0421 (2.1616)	Prec@1 46.094 (45.328)	Prec@5 80.469 (75.908)
Epoch: [58][8570/14090]	Time 0.753 (0.768)	Data 0.001 (0.002)	Loss 2.2056 (2.1618)	Prec@1 44.531 (45.326)	Prec@5 75.781 (75.903)
Epoch: [58][8580/14090]	Time 0.772 (0.768)	Data 0.001 (0.002)	Loss 2.1079 (2.1618)	Prec@1 39.062 (45.326)	Prec@5 77.344 (75.901)
Epoch: [58][8590/14090]	Time 0.750 (0.768)	Data 0.001 (0.002)	Loss 2.3079 (2.1618)	Prec@1 45.312 (45.323)	Prec@5 73.438 (75.903)
Epoch: [58][8600/14090]	Time 0.779 (0.768)	Data 0.001 (0.002)	Loss 2.0348 (2.1617)	Prec@1 47.656 (45.324)	Prec@5 78.125 (75.905)
Epoch: [58][8610/14090]	Time 0.760 (0.768)	Data 0.001 (0.002)	Loss 1.9305 (2.1618)	Prec@1 46.875 (45.323)	Prec@5 78.125 (75.903)
Epoch: [58][8620/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 2.1152 (2.1618)	Prec@1 45.312 (45.323)	Prec@5 78.125 (75.903)
Epoch: [58][8630/14090]	Time 0.838 (0.768)	Data 0.001 (0.002)	Loss 2.1094 (2.1619)	Prec@1 42.969 (45.321)	Prec@5 78.906 (75.902)
Epoch: [58][8640/14090]	Time 0.736 (0.768)	Data 0.001 (0.002)	Loss 2.2732 (2.1619)	Prec@1 40.625 (45.321)	Prec@5 71.094 (75.901)
Epoch: [58][8650/14090]	Time 0.745 (0.768)	Data 0.001 (0.002)	Loss 2.1360 (2.1619)	Prec@1 40.625 (45.321)	Prec@5 74.219 (75.901)
Epoch: [58][8660/14090]	Time 0.741 (0.768)	Data 0.001 (0.002)	Loss 1.9945 (2.1620)	Prec@1 44.531 (45.320)	Prec@5 78.906 (75.901)
Epoch: [58][8670/14090]	Time 0.760 (0.768)	Data 0.001 (0.002)	Loss 2.3365 (2.1620)	Prec@1 43.750 (45.318)	Prec@5 72.656 (75.900)
Epoch: [58][8680/14090]	Time 0.746 (0.768)	Data 0.001 (0.002)	Loss 2.3227 (2.1619)	Prec@1 42.188 (45.320)	Prec@5 71.875 (75.902)
Epoch: [58][8690/14090]	Time 0.762 (0.768)	Data 0.001 (0.002)	Loss 2.2444 (2.1620)	Prec@1 44.531 (45.319)	Prec@5 75.781 (75.900)
Epoch: [58][8700/14090]	Time 0.832 (0.768)	Data 0.001 (0.002)	Loss 2.0098 (2.1619)	Prec@1 46.875 (45.321)	Prec@5 79.688 (75.901)
Epoch: [58][8710/14090]	Time 0.758 (0.768)	Data 0.001 (0.002)	Loss 2.2957 (2.1619)	Prec@1 39.062 (45.323)	Prec@5 73.438 (75.901)
Epoch: [58][8720/14090]	Time 0.754 (0.768)	Data 0.001 (0.002)	Loss 2.0117 (2.1618)	Prec@1 47.656 (45.323)	Prec@5 78.906 (75.903)
Epoch: [58][8730/14090]	Time 0.737 (0.768)	Data 0.001 (0.002)	Loss 1.7953 (2.1617)	Prec@1 53.125 (45.327)	Prec@5 85.938 (75.906)
Epoch: [58][8740/14090]	Time 0.743 (0.768)	Data 0.001 (0.002)	Loss 2.1154 (2.1617)	Prec@1 43.750 (45.327)	Prec@5 77.344 (75.905)
Epoch: [58][8750/14090]	Time 0.761 (0.768)	Data 0.001 (0.002)	Loss 2.4931 (2.1618)	Prec@1 39.062 (45.326)	Prec@5 68.750 (75.905)
Epoch: [58][8760/14090]	Time 0.780 (0.768)	Data 0.001 (0.002)	Loss 1.9709 (2.1617)	Prec@1 48.438 (45.327)	Prec@5 82.031 (75.906)
Epoch: [58][8770/14090]	Time 0.865 (0.768)	Data 0.001 (0.002)	Loss 2.2173 (2.1618)	Prec@1 43.750 (45.324)	Prec@5 77.344 (75.906)
Epoch: [58][8780/14090]	Time 0.772 (0.768)	Data 0.001 (0.002)	Loss 2.1124 (2.1617)	Prec@1 47.656 (45.325)	Prec@5 74.219 (75.906)
Epoch: [58][8790/14090]	Time 0.756 (0.768)	Data 0.001 (0.001)	Loss 2.1787 (2.1617)	Prec@1 44.531 (45.325)	Prec@5 71.875 (75.905)
Epoch: [58][8800/14090]	Time 0.756 (0.768)	Data 0.001 (0.001)	Loss 2.0955 (2.1618)	Prec@1 46.875 (45.320)	Prec@5 76.562 (75.902)
Epoch: [58][8810/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 2.3650 (2.1619)	Prec@1 44.531 (45.321)	Prec@5 75.781 (75.903)
Epoch: [58][8820/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 2.1874 (2.1619)	Prec@1 46.875 (45.320)	Prec@5 78.906 (75.902)
Epoch: [58][8830/14090]	Time 0.747 (0.768)	Data 0.001 (0.001)	Loss 2.3670 (2.1619)	Prec@1 39.844 (45.319)	Prec@5 71.875 (75.901)
Epoch: [58][8840/14090]	Time 0.871 (0.768)	Data 0.001 (0.001)	Loss 1.9877 (2.1619)	Prec@1 50.000 (45.321)	Prec@5 78.906 (75.903)
Epoch: [58][8850/14090]	Time 0.734 (0.768)	Data 0.001 (0.001)	Loss 2.3740 (2.1620)	Prec@1 42.969 (45.319)	Prec@5 74.219 (75.901)
Epoch: [58][8860/14090]	Time 0.742 (0.768)	Data 0.001 (0.001)	Loss 2.2974 (2.1620)	Prec@1 46.875 (45.320)	Prec@5 71.875 (75.901)
Epoch: [58][8870/14090]	Time 0.769 (0.768)	Data 0.001 (0.001)	Loss 2.2278 (2.1619)	Prec@1 43.750 (45.320)	Prec@5 73.438 (75.901)
Epoch: [58][8880/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 2.0656 (2.1620)	Prec@1 45.312 (45.321)	Prec@5 80.469 (75.901)
Epoch: [58][8890/14090]	Time 0.749 (0.768)	Data 0.001 (0.001)	Loss 2.2052 (2.1620)	Prec@1 39.844 (45.319)	Prec@5 77.344 (75.901)
Epoch: [58][8900/14090]	Time 0.783 (0.768)	Data 0.001 (0.001)	Loss 2.2033 (2.1620)	Prec@1 44.531 (45.318)	Prec@5 78.906 (75.902)
Epoch: [58][8910/14090]	Time 0.867 (0.768)	Data 0.001 (0.001)	Loss 2.2842 (2.1621)	Prec@1 40.625 (45.314)	Prec@5 73.438 (75.900)
Epoch: [58][8920/14090]	Time 0.740 (0.768)	Data 0.001 (0.001)	Loss 2.2978 (2.1621)	Prec@1 42.969 (45.314)	Prec@5 73.438 (75.901)
Epoch: [58][8930/14090]	Time 0.751 (0.768)	Data 0.001 (0.001)	Loss 2.3877 (2.1621)	Prec@1 40.625 (45.313)	Prec@5 70.312 (75.901)
Epoch: [58][8940/14090]	Time 0.748 (0.768)	Data 0.001 (0.001)	Loss 2.1490 (2.1621)	Prec@1 41.406 (45.313)	Prec@5 77.344 (75.902)
Epoch: [58][8950/14090]	Time 0.757 (0.768)	Data 0.001 (0.001)	Loss 2.2551 (2.1622)	Prec@1 45.312 (45.312)	Prec@5 74.219 (75.899)
Epoch: [58][8960/14090]	Time 0.765 (0.768)	Data 0.001 (0.001)	Loss 2.1748 (2.1623)	Prec@1 42.188 (45.309)	Prec@5 77.344 (75.896)
Epoch: [58][8970/14090]	Time 0.749 (0.768)	Data 0.001 (0.001)	Loss 2.0854 (2.1623)	Prec@1 46.875 (45.307)	Prec@5 78.125 (75.897)
Epoch: [58][8980/14090]	Time 0.889 (0.768)	Data 0.001 (0.001)	Loss 2.2187 (2.1623)	Prec@1 39.844 (45.309)	Prec@5 75.781 (75.898)
Epoch: [58][8990/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 2.4036 (2.1623)	Prec@1 34.375 (45.308)	Prec@5 72.656 (75.898)
Epoch: [58][9000/14090]	Time 0.737 (0.768)	Data 0.001 (0.001)	Loss 2.0328 (2.1624)	Prec@1 46.875 (45.305)	Prec@5 77.344 (75.896)
Epoch: [58][9010/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 2.1681 (2.1624)	Prec@1 39.844 (45.304)	Prec@5 78.906 (75.896)
Epoch: [58][9020/14090]	Time 0.752 (0.768)	Data 0.001 (0.001)	Loss 2.1107 (2.1625)	Prec@1 47.656 (45.303)	Prec@5 75.000 (75.894)
Epoch: [58][9030/14090]	Time 0.746 (0.768)	Data 0.001 (0.001)	Loss 2.2450 (2.1625)	Prec@1 41.406 (45.304)	Prec@5 73.438 (75.892)
Epoch: [58][9040/14090]	Time 0.727 (0.768)	Data 0.001 (0.001)	Loss 2.5674 (2.1627)	Prec@1 40.625 (45.302)	Prec@5 66.406 (75.890)
Epoch: [58][9050/14090]	Time 0.836 (0.768)	Data 0.001 (0.001)	Loss 2.0978 (2.1626)	Prec@1 38.281 (45.301)	Prec@5 77.344 (75.891)
Epoch: [58][9060/14090]	Time 0.741 (0.768)	Data 0.001 (0.001)	Loss 2.2503 (2.1627)	Prec@1 43.750 (45.299)	Prec@5 77.344 (75.889)
Epoch: [58][9070/14090]	Time 0.742 (0.768)	Data 0.001 (0.001)	Loss 2.0340 (2.1628)	Prec@1 48.438 (45.297)	Prec@5 79.688 (75.890)
Epoch: [58][9080/14090]	Time 0.760 (0.768)	Data 0.001 (0.001)	Loss 2.0238 (2.1628)	Prec@1 52.344 (45.299)	Prec@5 75.781 (75.890)
Epoch: [58][9090/14090]	Time 0.740 (0.768)	Data 0.001 (0.001)	Loss 2.1161 (2.1628)	Prec@1 42.969 (45.298)	Prec@5 75.000 (75.889)
Epoch: [58][9100/14090]	Time 0.737 (0.768)	Data 0.001 (0.001)	Loss 2.3124 (2.1629)	Prec@1 45.312 (45.297)	Prec@5 75.781 (75.890)
Epoch: [58][9110/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 2.3306 (2.1630)	Prec@1 37.500 (45.292)	Prec@5 74.219 (75.889)
Epoch: [58][9120/14090]	Time 0.883 (0.768)	Data 0.001 (0.001)	Loss 1.9718 (2.1629)	Prec@1 50.781 (45.295)	Prec@5 78.906 (75.891)
Epoch: [58][9130/14090]	Time 0.745 (0.768)	Data 0.001 (0.001)	Loss 2.2279 (2.1629)	Prec@1 46.094 (45.294)	Prec@5 72.656 (75.891)
Epoch: [58][9140/14090]	Time 0.781 (0.768)	Data 0.001 (0.001)	Loss 1.9671 (2.1629)	Prec@1 47.656 (45.294)	Prec@5 77.344 (75.893)
Epoch: [58][9150/14090]	Time 0.747 (0.768)	Data 0.001 (0.001)	Loss 2.1871 (2.1629)	Prec@1 49.219 (45.293)	Prec@5 71.094 (75.894)
Epoch: [58][9160/14090]	Time 0.737 (0.768)	Data 0.001 (0.001)	Loss 2.1233 (2.1629)	Prec@1 45.312 (45.291)	Prec@5 82.812 (75.894)
Epoch: [58][9170/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 2.2038 (2.1629)	Prec@1 43.750 (45.291)	Prec@5 71.875 (75.895)
Epoch: [58][9180/14090]	Time 0.782 (0.768)	Data 0.001 (0.001)	Loss 1.9783 (2.1629)	Prec@1 46.094 (45.290)	Prec@5 78.125 (75.894)
Epoch: [58][9190/14090]	Time 0.850 (0.768)	Data 0.001 (0.001)	Loss 2.2713 (2.1630)	Prec@1 44.531 (45.288)	Prec@5 74.219 (75.893)
Epoch: [58][9200/14090]	Time 0.733 (0.768)	Data 0.001 (0.001)	Loss 2.1218 (2.1631)	Prec@1 44.531 (45.288)	Prec@5 78.125 (75.893)
Epoch: [58][9210/14090]	Time 0.751 (0.768)	Data 0.001 (0.001)	Loss 2.3696 (2.1631)	Prec@1 42.188 (45.286)	Prec@5 74.219 (75.894)
Epoch: [58][9220/14090]	Time 0.757 (0.768)	Data 0.001 (0.001)	Loss 2.0865 (2.1631)	Prec@1 50.000 (45.287)	Prec@5 82.031 (75.895)
Epoch: [58][9230/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 2.4076 (2.1630)	Prec@1 42.969 (45.290)	Prec@5 67.969 (75.896)
Epoch: [58][9240/14090]	Time 0.759 (0.768)	Data 0.001 (0.001)	Loss 2.0445 (2.1630)	Prec@1 49.219 (45.291)	Prec@5 76.562 (75.896)
Epoch: [58][9250/14090]	Time 0.745 (0.768)	Data 0.001 (0.001)	Loss 2.2332 (2.1630)	Prec@1 43.750 (45.289)	Prec@5 75.781 (75.897)
Epoch: [58][9260/14090]	Time 0.904 (0.768)	Data 0.001 (0.001)	Loss 2.3691 (2.1631)	Prec@1 41.406 (45.287)	Prec@5 74.219 (75.895)
Epoch: [58][9270/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 2.1631 (2.1632)	Prec@1 46.875 (45.286)	Prec@5 73.438 (75.894)
Epoch: [58][9280/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 2.1153 (2.1632)	Prec@1 46.094 (45.285)	Prec@5 76.562 (75.894)
Epoch: [58][9290/14090]	Time 0.758 (0.768)	Data 0.001 (0.001)	Loss 2.1222 (2.1632)	Prec@1 51.562 (45.284)	Prec@5 75.000 (75.892)
Epoch: [58][9300/14090]	Time 0.727 (0.768)	Data 0.001 (0.001)	Loss 2.0173 (2.1632)	Prec@1 45.312 (45.283)	Prec@5 78.906 (75.893)
Epoch: [58][9310/14090]	Time 0.747 (0.768)	Data 0.001 (0.001)	Loss 2.2281 (2.1632)	Prec@1 44.531 (45.284)	Prec@5 70.312 (75.892)
Epoch: [58][9320/14090]	Time 0.773 (0.768)	Data 0.001 (0.001)	Loss 2.1355 (2.1632)	Prec@1 47.656 (45.287)	Prec@5 79.688 (75.894)
Epoch: [58][9330/14090]	Time 0.880 (0.768)	Data 0.001 (0.001)	Loss 2.7073 (2.1633)	Prec@1 34.375 (45.286)	Prec@5 65.625 (75.892)
Epoch: [58][9340/14090]	Time 0.733 (0.768)	Data 0.001 (0.001)	Loss 2.3416 (2.1633)	Prec@1 37.500 (45.284)	Prec@5 74.219 (75.892)
Epoch: [58][9350/14090]	Time 0.742 (0.768)	Data 0.001 (0.001)	Loss 2.0141 (2.1633)	Prec@1 47.656 (45.285)	Prec@5 80.469 (75.893)
Epoch: [58][9360/14090]	Time 0.733 (0.768)	Data 0.001 (0.001)	Loss 2.0661 (2.1634)	Prec@1 42.188 (45.284)	Prec@5 82.031 (75.894)
Epoch: [58][9370/14090]	Time 0.745 (0.768)	Data 0.001 (0.001)	Loss 1.9762 (2.1635)	Prec@1 50.000 (45.282)	Prec@5 76.562 (75.889)
Epoch: [58][9380/14090]	Time 0.772 (0.768)	Data 0.001 (0.001)	Loss 2.0705 (2.1635)	Prec@1 49.219 (45.282)	Prec@5 75.000 (75.889)
Epoch: [58][9390/14090]	Time 0.740 (0.768)	Data 0.001 (0.001)	Loss 2.2614 (2.1635)	Prec@1 39.844 (45.281)	Prec@5 71.875 (75.886)
Epoch: [58][9400/14090]	Time 0.880 (0.768)	Data 0.001 (0.001)	Loss 2.1838 (2.1636)	Prec@1 46.094 (45.280)	Prec@5 76.562 (75.886)
Epoch: [58][9410/14090]	Time 0.756 (0.768)	Data 0.001 (0.001)	Loss 2.2391 (2.1637)	Prec@1 45.312 (45.278)	Prec@5 73.438 (75.884)
Epoch: [58][9420/14090]	Time 0.755 (0.768)	Data 0.001 (0.001)	Loss 2.0982 (2.1637)	Prec@1 46.875 (45.276)	Prec@5 75.000 (75.882)
Epoch: [58][9430/14090]	Time 0.729 (0.768)	Data 0.001 (0.001)	Loss 2.1248 (2.1637)	Prec@1 42.969 (45.275)	Prec@5 70.312 (75.883)
Epoch: [58][9440/14090]	Time 0.777 (0.768)	Data 0.001 (0.001)	Loss 2.0852 (2.1637)	Prec@1 39.062 (45.275)	Prec@5 77.344 (75.882)
Epoch: [58][9450/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 2.1387 (2.1637)	Prec@1 46.875 (45.275)	Prec@5 76.562 (75.883)
Epoch: [58][9460/14090]	Time 0.753 (0.768)	Data 0.002 (0.001)	Loss 2.1246 (2.1638)	Prec@1 46.875 (45.275)	Prec@5 75.000 (75.881)
Epoch: [58][9470/14090]	Time 0.867 (0.768)	Data 0.001 (0.001)	Loss 2.0735 (2.1637)	Prec@1 48.438 (45.275)	Prec@5 76.562 (75.880)
Epoch: [58][9480/14090]	Time 0.737 (0.768)	Data 0.001 (0.001)	Loss 2.2031 (2.1638)	Prec@1 49.219 (45.275)	Prec@5 71.875 (75.878)
Epoch: [58][9490/14090]	Time 0.771 (0.768)	Data 0.001 (0.001)	Loss 1.9584 (2.1638)	Prec@1 46.875 (45.275)	Prec@5 77.344 (75.878)
Epoch: [58][9500/14090]	Time 0.752 (0.768)	Data 0.001 (0.001)	Loss 2.3576 (2.1640)	Prec@1 39.844 (45.271)	Prec@5 68.750 (75.875)
Epoch: [58][9510/14090]	Time 0.729 (0.768)	Data 0.001 (0.001)	Loss 2.1637 (2.1640)	Prec@1 46.875 (45.268)	Prec@5 74.219 (75.873)
Epoch: [58][9520/14090]	Time 0.743 (0.768)	Data 0.001 (0.001)	Loss 2.2083 (2.1641)	Prec@1 47.656 (45.267)	Prec@5 78.125 (75.872)
Epoch: [58][9530/14090]	Time 0.784 (0.768)	Data 0.001 (0.001)	Loss 2.2044 (2.1640)	Prec@1 47.656 (45.267)	Prec@5 71.875 (75.873)
Epoch: [58][9540/14090]	Time 0.913 (0.768)	Data 0.001 (0.001)	Loss 2.1885 (2.1641)	Prec@1 46.094 (45.265)	Prec@5 75.781 (75.872)
Epoch: [58][9550/14090]	Time 0.760 (0.768)	Data 0.001 (0.001)	Loss 2.3814 (2.1642)	Prec@1 42.188 (45.265)	Prec@5 74.219 (75.871)
Epoch: [58][9560/14090]	Time 0.755 (0.768)	Data 0.001 (0.001)	Loss 2.2994 (2.1642)	Prec@1 41.406 (45.268)	Prec@5 72.656 (75.870)
Epoch: [58][9570/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 2.4047 (2.1642)	Prec@1 39.062 (45.268)	Prec@5 70.312 (75.871)
Epoch: [58][9580/14090]	Time 0.772 (0.768)	Data 0.001 (0.001)	Loss 1.8936 (2.1642)	Prec@1 50.000 (45.266)	Prec@5 85.156 (75.871)
Epoch: [58][9590/14090]	Time 0.726 (0.768)	Data 0.001 (0.001)	Loss 1.8620 (2.1641)	Prec@1 52.344 (45.269)	Prec@5 82.812 (75.873)
Epoch: [58][9600/14090]	Time 0.741 (0.768)	Data 0.001 (0.001)	Loss 2.4525 (2.1641)	Prec@1 39.062 (45.271)	Prec@5 73.438 (75.873)
Epoch: [58][9610/14090]	Time 0.890 (0.768)	Data 0.001 (0.001)	Loss 2.1520 (2.1642)	Prec@1 50.781 (45.270)	Prec@5 71.875 (75.872)
Epoch: [58][9620/14090]	Time 0.773 (0.768)	Data 0.001 (0.001)	Loss 2.0827 (2.1641)	Prec@1 51.562 (45.271)	Prec@5 76.562 (75.873)
Epoch: [58][9630/14090]	Time 0.766 (0.768)	Data 0.001 (0.001)	Loss 2.2861 (2.1642)	Prec@1 42.188 (45.270)	Prec@5 75.000 (75.872)
Epoch: [58][9640/14090]	Time 0.763 (0.768)	Data 0.001 (0.001)	Loss 2.4738 (2.1642)	Prec@1 32.812 (45.268)	Prec@5 71.875 (75.870)
Epoch: [58][9650/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 2.1519 (2.1643)	Prec@1 53.906 (45.267)	Prec@5 76.562 (75.869)
Epoch: [58][9660/14090]	Time 0.720 (0.768)	Data 0.001 (0.001)	Loss 2.2469 (2.1643)	Prec@1 41.406 (45.267)	Prec@5 75.000 (75.867)
Epoch: [58][9670/14090]	Time 0.752 (0.768)	Data 0.001 (0.001)	Loss 2.2906 (2.1643)	Prec@1 42.188 (45.267)	Prec@5 72.656 (75.866)
Epoch: [58][9680/14090]	Time 0.874 (0.768)	Data 0.001 (0.001)	Loss 1.9754 (2.1642)	Prec@1 49.219 (45.269)	Prec@5 78.906 (75.867)
Epoch: [58][9690/14090]	Time 0.768 (0.768)	Data 0.001 (0.001)	Loss 2.2134 (2.1643)	Prec@1 41.406 (45.267)	Prec@5 73.438 (75.865)
Epoch: [58][9700/14090]	Time 0.734 (0.768)	Data 0.001 (0.001)	Loss 2.2601 (2.1642)	Prec@1 48.438 (45.269)	Prec@5 73.438 (75.868)
Epoch: [58][9710/14090]	Time 0.737 (0.768)	Data 0.001 (0.001)	Loss 1.8907 (2.1642)	Prec@1 49.219 (45.270)	Prec@5 85.156 (75.870)
Epoch: [58][9720/14090]	Time 0.740 (0.768)	Data 0.001 (0.001)	Loss 2.0655 (2.1642)	Prec@1 44.531 (45.269)	Prec@5 76.562 (75.871)
Epoch: [58][9730/14090]	Time 0.758 (0.768)	Data 0.001 (0.001)	Loss 2.0181 (2.1642)	Prec@1 50.781 (45.267)	Prec@5 79.688 (75.871)
Epoch: [58][9740/14090]	Time 0.728 (0.768)	Data 0.001 (0.001)	Loss 2.1116 (2.1642)	Prec@1 44.531 (45.267)	Prec@5 73.438 (75.871)
Epoch: [58][9750/14090]	Time 0.872 (0.768)	Data 0.001 (0.001)	Loss 2.1802 (2.1642)	Prec@1 46.094 (45.268)	Prec@5 77.344 (75.871)
Epoch: [58][9760/14090]	Time 0.724 (0.768)	Data 0.001 (0.001)	Loss 2.2932 (2.1643)	Prec@1 42.188 (45.266)	Prec@5 71.875 (75.870)
Epoch: [58][9770/14090]	Time 0.742 (0.768)	Data 0.001 (0.001)	Loss 2.0342 (2.1642)	Prec@1 46.094 (45.266)	Prec@5 82.031 (75.871)
Epoch: [58][9780/14090]	Time 0.780 (0.768)	Data 0.001 (0.001)	Loss 1.9992 (2.1642)	Prec@1 46.875 (45.265)	Prec@5 76.562 (75.872)
Epoch: [58][9790/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 2.4117 (2.1643)	Prec@1 50.000 (45.263)	Prec@5 71.094 (75.869)
Epoch: [58][9800/14090]	Time 0.722 (0.768)	Data 0.001 (0.001)	Loss 2.0319 (2.1644)	Prec@1 49.219 (45.260)	Prec@5 75.781 (75.868)
Epoch: [58][9810/14090]	Time 0.773 (0.768)	Data 0.001 (0.001)	Loss 2.0748 (2.1644)	Prec@1 44.531 (45.259)	Prec@5 82.812 (75.868)
Epoch: [58][9820/14090]	Time 0.906 (0.768)	Data 0.001 (0.001)	Loss 2.0800 (2.1643)	Prec@1 42.188 (45.260)	Prec@5 75.000 (75.869)
Epoch: [58][9830/14090]	Time 0.733 (0.768)	Data 0.001 (0.001)	Loss 2.0377 (2.1643)	Prec@1 49.219 (45.263)	Prec@5 75.781 (75.870)
Epoch: [58][9840/14090]	Time 0.777 (0.768)	Data 0.001 (0.001)	Loss 2.2000 (2.1643)	Prec@1 44.531 (45.262)	Prec@5 73.438 (75.867)
Epoch: [58][9850/14090]	Time 0.718 (0.768)	Data 0.001 (0.001)	Loss 2.0785 (2.1643)	Prec@1 39.844 (45.264)	Prec@5 77.344 (75.868)
Epoch: [58][9860/14090]	Time 0.735 (0.768)	Data 0.001 (0.001)	Loss 2.1107 (2.1643)	Prec@1 45.312 (45.263)	Prec@5 77.344 (75.866)
Epoch: [58][9870/14090]	Time 0.748 (0.768)	Data 0.001 (0.001)	Loss 2.1367 (2.1642)	Prec@1 41.406 (45.264)	Prec@5 75.781 (75.867)
Epoch: [58][9880/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 2.0518 (2.1643)	Prec@1 43.750 (45.262)	Prec@5 78.906 (75.866)
Epoch: [58][9890/14090]	Time 0.880 (0.768)	Data 0.001 (0.001)	Loss 1.8605 (2.1642)	Prec@1 52.344 (45.264)	Prec@5 81.250 (75.868)
Epoch: [58][9900/14090]	Time 0.727 (0.768)	Data 0.001 (0.001)	Loss 2.3962 (2.1642)	Prec@1 36.719 (45.266)	Prec@5 67.969 (75.867)
Epoch: [58][9910/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 1.9312 (2.1641)	Prec@1 50.000 (45.267)	Prec@5 80.469 (75.868)
Epoch: [58][9920/14090]	Time 0.762 (0.768)	Data 0.001 (0.001)	Loss 2.3091 (2.1642)	Prec@1 44.531 (45.266)	Prec@5 76.562 (75.867)
Epoch: [58][9930/14090]	Time 0.768 (0.768)	Data 0.001 (0.001)	Loss 2.1633 (2.1642)	Prec@1 43.750 (45.267)	Prec@5 78.125 (75.866)
Epoch: [58][9940/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 1.9781 (2.1641)	Prec@1 44.531 (45.269)	Prec@5 79.688 (75.868)
Epoch: [58][9950/14090]	Time 0.764 (0.768)	Data 0.001 (0.001)	Loss 2.2458 (2.1642)	Prec@1 42.969 (45.268)	Prec@5 72.656 (75.867)
Epoch: [58][9960/14090]	Time 0.987 (0.768)	Data 0.001 (0.001)	Loss 2.2366 (2.1642)	Prec@1 45.312 (45.267)	Prec@5 78.906 (75.867)
Epoch: [58][9970/14090]	Time 0.761 (0.768)	Data 0.001 (0.001)	Loss 2.3403 (2.1641)	Prec@1 42.969 (45.269)	Prec@5 74.219 (75.867)
Epoch: [58][9980/14090]	Time 0.729 (0.768)	Data 0.001 (0.001)	Loss 2.2300 (2.1641)	Prec@1 45.312 (45.269)	Prec@5 72.656 (75.867)
Epoch: [58][9990/14090]	Time 0.733 (0.768)	Data 0.001 (0.001)	Loss 1.8439 (2.1642)	Prec@1 48.438 (45.268)	Prec@5 84.375 (75.866)
Epoch: [58][10000/14090]	Time 0.740 (0.768)	Data 0.001 (0.001)	Loss 2.4272 (2.1643)	Prec@1 43.750 (45.266)	Prec@5 70.312 (75.864)
Epoch: [58][10010/14090]	Time 0.747 (0.768)	Data 0.001 (0.001)	Loss 2.1822 (2.1643)	Prec@1 43.750 (45.267)	Prec@5 71.094 (75.865)
Epoch: [58][10020/14090]	Time 0.766 (0.768)	Data 0.001 (0.001)	Loss 2.0574 (2.1643)	Prec@1 47.656 (45.265)	Prec@5 81.250 (75.863)
Epoch: [58][10030/14090]	Time 0.867 (0.768)	Data 0.001 (0.001)	Loss 2.2430 (2.1643)	Prec@1 41.406 (45.264)	Prec@5 71.875 (75.864)
Epoch: [58][10040/14090]	Time 0.732 (0.768)	Data 0.001 (0.001)	Loss 2.1184 (2.1644)	Prec@1 48.438 (45.264)	Prec@5 77.344 (75.863)
Epoch: [58][10050/14090]	Time 0.734 (0.768)	Data 0.001 (0.001)	Loss 2.0925 (2.1644)	Prec@1 48.438 (45.263)	Prec@5 75.781 (75.863)
Epoch: [58][10060/14090]	Time 0.729 (0.768)	Data 0.001 (0.001)	Loss 1.9723 (2.1644)	Prec@1 46.094 (45.264)	Prec@5 78.906 (75.864)
Epoch: [58][10070/14090]	Time 0.745 (0.768)	Data 0.001 (0.001)	Loss 2.4175 (2.1644)	Prec@1 46.094 (45.265)	Prec@5 69.531 (75.864)
Epoch: [58][10080/14090]	Time 0.748 (0.768)	Data 0.001 (0.001)	Loss 2.2681 (2.1644)	Prec@1 45.312 (45.265)	Prec@5 71.094 (75.862)
Epoch: [58][10090/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 1.9408 (2.1645)	Prec@1 43.750 (45.264)	Prec@5 81.250 (75.861)
Epoch: [58][10100/14090]	Time 0.910 (0.768)	Data 0.001 (0.001)	Loss 2.2495 (2.1645)	Prec@1 40.625 (45.262)	Prec@5 76.562 (75.860)
Epoch: [58][10110/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 2.3336 (2.1646)	Prec@1 40.625 (45.258)	Prec@5 75.000 (75.858)
Epoch: [58][10120/14090]	Time 0.730 (0.768)	Data 0.001 (0.001)	Loss 2.0263 (2.1647)	Prec@1 48.438 (45.257)	Prec@5 77.344 (75.858)
Epoch: [58][10130/14090]	Time 0.760 (0.768)	Data 0.002 (0.001)	Loss 2.1872 (2.1647)	Prec@1 40.625 (45.254)	Prec@5 75.781 (75.858)
Epoch: [58][10140/14090]	Time 0.745 (0.768)	Data 0.001 (0.001)	Loss 2.0711 (2.1647)	Prec@1 47.656 (45.254)	Prec@5 77.344 (75.858)
Epoch: [58][10150/14090]	Time 0.746 (0.768)	Data 0.002 (0.001)	Loss 2.0757 (2.1647)	Prec@1 50.781 (45.255)	Prec@5 78.906 (75.859)
Epoch: [58][10160/14090]	Time 0.737 (0.768)	Data 0.001 (0.001)	Loss 2.1103 (2.1648)	Prec@1 42.969 (45.252)	Prec@5 78.125 (75.856)
Epoch: [58][10170/14090]	Time 0.878 (0.768)	Data 0.001 (0.001)	Loss 2.1969 (2.1648)	Prec@1 42.969 (45.252)	Prec@5 75.000 (75.857)
Epoch: [58][10180/14090]	Time 0.763 (0.768)	Data 0.001 (0.001)	Loss 2.2693 (2.1647)	Prec@1 50.000 (45.254)	Prec@5 76.562 (75.858)
Epoch: [58][10190/14090]	Time 0.730 (0.768)	Data 0.001 (0.001)	Loss 2.1098 (2.1647)	Prec@1 44.531 (45.254)	Prec@5 75.000 (75.858)
Epoch: [58][10200/14090]	Time 0.744 (0.768)	Data 0.001 (0.001)	Loss 1.8965 (2.1648)	Prec@1 53.125 (45.254)	Prec@5 82.031 (75.857)
Epoch: [58][10210/14090]	Time 0.759 (0.768)	Data 0.001 (0.001)	Loss 2.2864 (2.1648)	Prec@1 41.406 (45.253)	Prec@5 71.875 (75.855)
Epoch: [58][10220/14090]	Time 0.741 (0.768)	Data 0.001 (0.001)	Loss 2.2215 (2.1649)	Prec@1 46.875 (45.251)	Prec@5 74.219 (75.855)
Epoch: [58][10230/14090]	Time 0.735 (0.768)	Data 0.001 (0.001)	Loss 2.2276 (2.1649)	Prec@1 43.750 (45.250)	Prec@5 77.344 (75.856)
Epoch: [58][10240/14090]	Time 0.850 (0.768)	Data 0.001 (0.001)	Loss 2.1778 (2.1649)	Prec@1 49.219 (45.249)	Prec@5 78.906 (75.854)
Epoch: [58][10250/14090]	Time 0.729 (0.768)	Data 0.002 (0.001)	Loss 2.0582 (2.1649)	Prec@1 48.438 (45.250)	Prec@5 71.094 (75.855)
Epoch: [58][10260/14090]	Time 0.756 (0.768)	Data 0.001 (0.001)	Loss 2.2971 (2.1649)	Prec@1 43.750 (45.251)	Prec@5 68.750 (75.854)
Epoch: [58][10270/14090]	Time 0.774 (0.768)	Data 0.001 (0.001)	Loss 2.0048 (2.1649)	Prec@1 47.656 (45.251)	Prec@5 79.688 (75.855)
Epoch: [58][10280/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 2.1375 (2.1649)	Prec@1 42.969 (45.250)	Prec@5 76.562 (75.855)
Epoch: [58][10290/14090]	Time 0.760 (0.768)	Data 0.001 (0.001)	Loss 2.1526 (2.1649)	Prec@1 46.094 (45.250)	Prec@5 74.219 (75.855)
Epoch: [58][10300/14090]	Time 0.721 (0.768)	Data 0.001 (0.001)	Loss 1.9638 (2.1648)	Prec@1 49.219 (45.251)	Prec@5 78.125 (75.857)
Epoch: [58][10310/14090]	Time 0.862 (0.768)	Data 0.001 (0.001)	Loss 2.3389 (2.1647)	Prec@1 39.844 (45.252)	Prec@5 71.875 (75.858)
Epoch: [58][10320/14090]	Time 0.735 (0.768)	Data 0.001 (0.001)	Loss 2.0131 (2.1648)	Prec@1 49.219 (45.251)	Prec@5 79.688 (75.856)
Epoch: [58][10330/14090]	Time 0.754 (0.768)	Data 0.001 (0.001)	Loss 2.3263 (2.1648)	Prec@1 46.094 (45.252)	Prec@5 69.531 (75.856)
Epoch: [58][10340/14090]	Time 0.751 (0.768)	Data 0.001 (0.001)	Loss 2.1621 (2.1647)	Prec@1 50.000 (45.254)	Prec@5 74.219 (75.859)
Epoch: [58][10350/14090]	Time 0.728 (0.768)	Data 0.001 (0.001)	Loss 2.0457 (2.1648)	Prec@1 40.625 (45.254)	Prec@5 79.688 (75.859)
Epoch: [58][10360/14090]	Time 0.758 (0.768)	Data 0.001 (0.001)	Loss 2.1461 (2.1648)	Prec@1 42.188 (45.254)	Prec@5 79.688 (75.859)
Epoch: [58][10370/14090]	Time 0.769 (0.768)	Data 0.001 (0.001)	Loss 2.4195 (2.1648)	Prec@1 42.969 (45.254)	Prec@5 74.219 (75.858)
Epoch: [58][10380/14090]	Time 0.927 (0.768)	Data 0.001 (0.001)	Loss 2.3622 (2.1648)	Prec@1 35.938 (45.253)	Prec@5 71.094 (75.858)
Epoch: [58][10390/14090]	Time 0.759 (0.768)	Data 0.001 (0.001)	Loss 2.1649 (2.1649)	Prec@1 46.875 (45.251)	Prec@5 75.781 (75.858)
Epoch: [58][10400/14090]	Time 0.752 (0.768)	Data 0.001 (0.001)	Loss 2.0669 (2.1649)	Prec@1 44.531 (45.250)	Prec@5 78.125 (75.857)
Epoch: [58][10410/14090]	Time 0.792 (0.768)	Data 0.001 (0.001)	Loss 2.2138 (2.1648)	Prec@1 44.531 (45.252)	Prec@5 76.562 (75.859)
Epoch: [58][10420/14090]	Time 0.747 (0.768)	Data 0.001 (0.001)	Loss 2.1634 (2.1648)	Prec@1 34.375 (45.250)	Prec@5 77.344 (75.859)
Epoch: [58][10430/14090]	Time 0.745 (0.768)	Data 0.001 (0.001)	Loss 2.3193 (2.1648)	Prec@1 44.531 (45.252)	Prec@5 70.312 (75.858)
Epoch: [58][10440/14090]	Time 0.746 (0.768)	Data 0.001 (0.001)	Loss 2.3357 (2.1647)	Prec@1 37.500 (45.254)	Prec@5 76.562 (75.860)
Epoch: [58][10450/14090]	Time 0.884 (0.768)	Data 0.001 (0.001)	Loss 2.1955 (2.1647)	Prec@1 50.000 (45.255)	Prec@5 73.438 (75.860)
Epoch: [58][10460/14090]	Time 0.776 (0.768)	Data 0.001 (0.001)	Loss 2.2695 (2.1648)	Prec@1 44.531 (45.254)	Prec@5 77.344 (75.860)
Epoch: [58][10470/14090]	Time 0.727 (0.768)	Data 0.001 (0.001)	Loss 2.1850 (2.1648)	Prec@1 45.312 (45.252)	Prec@5 73.438 (75.860)
Epoch: [58][10480/14090]	Time 0.735 (0.768)	Data 0.001 (0.001)	Loss 2.0598 (2.1649)	Prec@1 52.344 (45.251)	Prec@5 75.781 (75.859)
Epoch: [58][10490/14090]	Time 0.743 (0.768)	Data 0.001 (0.001)	Loss 2.1731 (2.1649)	Prec@1 44.531 (45.250)	Prec@5 74.219 (75.859)
Epoch: [58][10500/14090]	Time 0.733 (0.768)	Data 0.001 (0.001)	Loss 2.0414 (2.1649)	Prec@1 50.000 (45.250)	Prec@5 78.125 (75.858)
Epoch: [58][10510/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 2.1420 (2.1649)	Prec@1 42.969 (45.250)	Prec@5 78.125 (75.859)
Epoch: [58][10520/14090]	Time 0.867 (0.768)	Data 0.001 (0.001)	Loss 2.2896 (2.1649)	Prec@1 43.750 (45.252)	Prec@5 70.312 (75.857)
Epoch: [58][10530/14090]	Time 0.726 (0.768)	Data 0.001 (0.001)	Loss 2.1267 (2.1649)	Prec@1 39.844 (45.251)	Prec@5 76.562 (75.857)
Epoch: [58][10540/14090]	Time 0.737 (0.768)	Data 0.001 (0.001)	Loss 1.8987 (2.1649)	Prec@1 48.438 (45.251)	Prec@5 82.031 (75.858)
Epoch: [58][10550/14090]	Time 0.732 (0.768)	Data 0.000 (0.001)	Loss 2.0934 (2.1649)	Prec@1 46.875 (45.252)	Prec@5 78.125 (75.859)
Epoch: [58][10560/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 2.5859 (2.1650)	Prec@1 35.156 (45.249)	Prec@5 71.094 (75.857)
Epoch: [58][10570/14090]	Time 0.758 (0.768)	Data 0.001 (0.001)	Loss 2.3019 (2.1651)	Prec@1 41.406 (45.248)	Prec@5 70.312 (75.855)
Epoch: [58][10580/14090]	Time 0.751 (0.768)	Data 0.001 (0.001)	Loss 2.2611 (2.1651)	Prec@1 44.531 (45.249)	Prec@5 72.656 (75.855)
Epoch: [58][10590/14090]	Time 0.866 (0.768)	Data 0.001 (0.001)	Loss 1.9420 (2.1651)	Prec@1 50.781 (45.250)	Prec@5 79.688 (75.854)
Epoch: [58][10600/14090]	Time 0.750 (0.768)	Data 0.001 (0.001)	Loss 2.2165 (2.1650)	Prec@1 42.969 (45.252)	Prec@5 71.875 (75.855)
Epoch: [58][10610/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 2.1350 (2.1650)	Prec@1 46.875 (45.253)	Prec@5 75.000 (75.855)
Epoch: [58][10620/14090]	Time 0.777 (0.768)	Data 0.001 (0.001)	Loss 2.0182 (2.1650)	Prec@1 55.469 (45.255)	Prec@5 79.688 (75.856)
Epoch: [58][10630/14090]	Time 0.729 (0.768)	Data 0.001 (0.001)	Loss 2.3981 (2.1651)	Prec@1 39.062 (45.253)	Prec@5 74.219 (75.855)
Epoch: [58][10640/14090]	Time 0.773 (0.768)	Data 0.001 (0.001)	Loss 2.1511 (2.1651)	Prec@1 49.219 (45.252)	Prec@5 78.125 (75.854)
Epoch: [58][10650/14090]	Time 0.788 (0.768)	Data 0.003 (0.001)	Loss 2.0971 (2.1651)	Prec@1 44.531 (45.250)	Prec@5 78.125 (75.854)
Epoch: [58][10660/14090]	Time 0.921 (0.768)	Data 0.001 (0.001)	Loss 2.1762 (2.1651)	Prec@1 43.750 (45.249)	Prec@5 76.562 (75.854)
Epoch: [58][10670/14090]	Time 0.735 (0.768)	Data 0.001 (0.001)	Loss 1.7681 (2.1651)	Prec@1 51.562 (45.251)	Prec@5 85.156 (75.856)
Epoch: [58][10680/14090]	Time 0.746 (0.768)	Data 0.001 (0.001)	Loss 2.2300 (2.1651)	Prec@1 44.531 (45.252)	Prec@5 74.219 (75.857)
Epoch: [58][10690/14090]	Time 0.768 (0.768)	Data 0.001 (0.001)	Loss 2.0863 (2.1650)	Prec@1 48.438 (45.253)	Prec@5 78.125 (75.858)
Epoch: [58][10700/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 2.1918 (2.1650)	Prec@1 46.094 (45.254)	Prec@5 70.312 (75.859)
Epoch: [58][10710/14090]	Time 0.748 (0.768)	Data 0.001 (0.001)	Loss 2.1716 (2.1650)	Prec@1 45.312 (45.254)	Prec@5 79.688 (75.859)
Epoch: [58][10720/14090]	Time 0.772 (0.768)	Data 0.001 (0.001)	Loss 2.3557 (2.1651)	Prec@1 38.281 (45.254)	Prec@5 71.875 (75.858)
Epoch: [58][10730/14090]	Time 0.834 (0.768)	Data 0.001 (0.001)	Loss 2.5189 (2.1652)	Prec@1 41.406 (45.251)	Prec@5 68.750 (75.857)
Epoch: [58][10740/14090]	Time 0.761 (0.768)	Data 0.001 (0.001)	Loss 1.9882 (2.1652)	Prec@1 50.000 (45.254)	Prec@5 77.344 (75.857)
Epoch: [58][10750/14090]	Time 0.740 (0.768)	Data 0.001 (0.001)	Loss 2.2880 (2.1653)	Prec@1 40.625 (45.251)	Prec@5 71.875 (75.853)
Epoch: [58][10760/14090]	Time 0.732 (0.768)	Data 0.001 (0.001)	Loss 2.5811 (2.1654)	Prec@1 37.500 (45.249)	Prec@5 68.750 (75.852)
Epoch: [58][10770/14090]	Time 0.788 (0.768)	Data 0.001 (0.001)	Loss 1.9819 (2.1655)	Prec@1 52.344 (45.248)	Prec@5 75.000 (75.851)
Epoch: [58][10780/14090]	Time 0.754 (0.768)	Data 0.001 (0.001)	Loss 2.1950 (2.1655)	Prec@1 42.969 (45.246)	Prec@5 76.562 (75.850)
Epoch: [58][10790/14090]	Time 0.773 (0.768)	Data 0.001 (0.001)	Loss 2.1498 (2.1656)	Prec@1 42.188 (45.243)	Prec@5 75.000 (75.850)
Epoch: [58][10800/14090]	Time 0.873 (0.768)	Data 0.001 (0.001)	Loss 2.1531 (2.1655)	Prec@1 44.531 (45.246)	Prec@5 80.469 (75.850)
Epoch: [58][10810/14090]	Time 0.778 (0.768)	Data 0.001 (0.001)	Loss 2.1851 (2.1656)	Prec@1 44.531 (45.245)	Prec@5 73.438 (75.849)
Epoch: [58][10820/14090]	Time 0.729 (0.768)	Data 0.001 (0.001)	Loss 2.1469 (2.1656)	Prec@1 43.750 (45.243)	Prec@5 76.562 (75.848)
Epoch: [58][10830/14090]	Time 0.771 (0.768)	Data 0.001 (0.001)	Loss 2.1820 (2.1656)	Prec@1 45.312 (45.241)	Prec@5 77.344 (75.848)
Epoch: [58][10840/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 1.9874 (2.1656)	Prec@1 50.000 (45.242)	Prec@5 78.906 (75.849)
Epoch: [58][10850/14090]	Time 0.762 (0.768)	Data 0.001 (0.001)	Loss 2.1415 (2.1656)	Prec@1 40.625 (45.240)	Prec@5 75.781 (75.848)
Epoch: [58][10860/14090]	Time 0.758 (0.768)	Data 0.001 (0.001)	Loss 2.2144 (2.1657)	Prec@1 42.188 (45.238)	Prec@5 72.656 (75.847)
Epoch: [58][10870/14090]	Time 0.840 (0.768)	Data 0.001 (0.001)	Loss 2.1174 (2.1656)	Prec@1 50.781 (45.240)	Prec@5 75.000 (75.847)
Epoch: [58][10880/14090]	Time 0.768 (0.768)	Data 0.001 (0.001)	Loss 2.0071 (2.1656)	Prec@1 49.219 (45.241)	Prec@5 78.125 (75.848)
Epoch: [58][10890/14090]	Time 0.761 (0.768)	Data 0.001 (0.001)	Loss 2.1686 (2.1656)	Prec@1 42.188 (45.240)	Prec@5 79.688 (75.848)
Epoch: [58][10900/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 2.2221 (2.1656)	Prec@1 43.750 (45.239)	Prec@5 75.781 (75.847)
Epoch: [58][10910/14090]	Time 0.746 (0.768)	Data 0.001 (0.001)	Loss 2.3443 (2.1656)	Prec@1 42.969 (45.239)	Prec@5 71.094 (75.847)
Epoch: [58][10920/14090]	Time 0.752 (0.768)	Data 0.001 (0.001)	Loss 2.0910 (2.1656)	Prec@1 42.969 (45.238)	Prec@5 77.344 (75.847)
Epoch: [58][10930/14090]	Time 0.759 (0.768)	Data 0.001 (0.001)	Loss 2.1855 (2.1656)	Prec@1 40.625 (45.240)	Prec@5 77.344 (75.848)
Epoch: [58][10940/14090]	Time 0.897 (0.768)	Data 0.001 (0.001)	Loss 2.1305 (2.1656)	Prec@1 46.094 (45.239)	Prec@5 75.781 (75.848)
Epoch: [58][10950/14090]	Time 0.744 (0.768)	Data 0.001 (0.001)	Loss 2.3377 (2.1656)	Prec@1 38.281 (45.238)	Prec@5 71.875 (75.848)
Epoch: [58][10960/14090]	Time 0.726 (0.768)	Data 0.001 (0.001)	Loss 2.1753 (2.1656)	Prec@1 42.188 (45.238)	Prec@5 80.469 (75.849)
Epoch: [58][10970/14090]	Time 0.750 (0.768)	Data 0.001 (0.001)	Loss 2.0943 (2.1656)	Prec@1 41.406 (45.238)	Prec@5 79.688 (75.849)
Epoch: [58][10980/14090]	Time 0.739 (0.768)	Data 0.002 (0.001)	Loss 2.1172 (2.1656)	Prec@1 43.750 (45.236)	Prec@5 78.906 (75.850)
Epoch: [58][10990/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 2.3176 (2.1657)	Prec@1 42.969 (45.235)	Prec@5 74.219 (75.849)
Epoch: [58][11000/14090]	Time 0.772 (0.768)	Data 0.001 (0.001)	Loss 2.2039 (2.1657)	Prec@1 47.656 (45.234)	Prec@5 75.781 (75.848)
Epoch: [58][11010/14090]	Time 0.858 (0.768)	Data 0.001 (0.001)	Loss 2.0984 (2.1657)	Prec@1 50.781 (45.235)	Prec@5 77.344 (75.846)
Epoch: [58][11020/14090]	Time 0.762 (0.768)	Data 0.001 (0.001)	Loss 2.3567 (2.1658)	Prec@1 43.750 (45.232)	Prec@5 75.781 (75.846)
Epoch: [58][11030/14090]	Time 0.754 (0.768)	Data 0.001 (0.001)	Loss 2.3797 (2.1658)	Prec@1 35.938 (45.232)	Prec@5 70.312 (75.846)
Epoch: [58][11040/14090]	Time 0.751 (0.768)	Data 0.001 (0.001)	Loss 2.1374 (2.1658)	Prec@1 46.875 (45.230)	Prec@5 74.219 (75.846)
Epoch: [58][11050/14090]	Time 0.764 (0.768)	Data 0.001 (0.001)	Loss 2.3162 (2.1658)	Prec@1 42.188 (45.231)	Prec@5 70.312 (75.846)
Epoch: [58][11060/14090]	Time 0.747 (0.768)	Data 0.001 (0.001)	Loss 2.2729 (2.1658)	Prec@1 46.875 (45.229)	Prec@5 69.531 (75.845)
Epoch: [58][11070/14090]	Time 0.729 (0.768)	Data 0.001 (0.001)	Loss 2.4162 (2.1658)	Prec@1 40.625 (45.229)	Prec@5 70.312 (75.845)
Epoch: [58][11080/14090]	Time 0.992 (0.768)	Data 0.001 (0.001)	Loss 2.0315 (2.1657)	Prec@1 53.125 (45.230)	Prec@5 75.781 (75.846)
Epoch: [58][11090/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 1.9267 (2.1658)	Prec@1 46.094 (45.229)	Prec@5 78.125 (75.844)
Epoch: [58][11100/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 1.9860 (2.1658)	Prec@1 50.781 (45.228)	Prec@5 76.562 (75.844)
Epoch: [58][11110/14090]	Time 0.759 (0.768)	Data 0.001 (0.001)	Loss 2.3500 (2.1659)	Prec@1 46.094 (45.227)	Prec@5 75.000 (75.842)
Epoch: [58][11120/14090]	Time 0.760 (0.768)	Data 0.001 (0.001)	Loss 2.1343 (2.1659)	Prec@1 43.750 (45.227)	Prec@5 75.781 (75.841)
Epoch: [58][11130/14090]	Time 0.728 (0.768)	Data 0.001 (0.001)	Loss 2.0850 (2.1659)	Prec@1 48.438 (45.228)	Prec@5 81.250 (75.843)
Epoch: [58][11140/14090]	Time 0.768 (0.768)	Data 0.001 (0.001)	Loss 2.3615 (2.1658)	Prec@1 42.188 (45.227)	Prec@5 75.781 (75.845)
Epoch: [58][11150/14090]	Time 0.859 (0.768)	Data 0.001 (0.001)	Loss 2.5287 (2.1659)	Prec@1 39.062 (45.225)	Prec@5 68.750 (75.844)
Epoch: [58][11160/14090]	Time 0.749 (0.768)	Data 0.001 (0.001)	Loss 1.8796 (2.1659)	Prec@1 53.906 (45.226)	Prec@5 80.469 (75.845)
Epoch: [58][11170/14090]	Time 0.783 (0.768)	Data 0.001 (0.001)	Loss 2.2491 (2.1659)	Prec@1 41.406 (45.226)	Prec@5 71.875 (75.843)
Epoch: [58][11180/14090]	Time 0.757 (0.768)	Data 0.001 (0.001)	Loss 2.2939 (2.1659)	Prec@1 41.406 (45.226)	Prec@5 75.781 (75.843)
Epoch: [58][11190/14090]	Time 0.747 (0.768)	Data 0.001 (0.001)	Loss 2.0689 (2.1659)	Prec@1 46.094 (45.227)	Prec@5 78.125 (75.846)
Epoch: [58][11200/14090]	Time 0.773 (0.768)	Data 0.001 (0.001)	Loss 1.7206 (2.1658)	Prec@1 55.469 (45.230)	Prec@5 81.250 (75.847)
Epoch: [58][11210/14090]	Time 0.756 (0.768)	Data 0.001 (0.001)	Loss 2.0881 (2.1658)	Prec@1 48.438 (45.228)	Prec@5 75.000 (75.846)
Epoch: [58][11220/14090]	Time 0.925 (0.768)	Data 0.001 (0.001)	Loss 2.3480 (2.1659)	Prec@1 44.531 (45.228)	Prec@5 71.094 (75.845)
Epoch: [58][11230/14090]	Time 0.756 (0.768)	Data 0.001 (0.001)	Loss 2.4064 (2.1658)	Prec@1 42.969 (45.231)	Prec@5 74.219 (75.847)
Epoch: [58][11240/14090]	Time 0.749 (0.768)	Data 0.001 (0.001)	Loss 2.4407 (2.1657)	Prec@1 39.844 (45.232)	Prec@5 67.188 (75.848)
Epoch: [58][11250/14090]	Time 0.749 (0.768)	Data 0.002 (0.001)	Loss 2.0477 (2.1656)	Prec@1 45.312 (45.232)	Prec@5 78.125 (75.849)
Epoch: [58][11260/14090]	Time 0.733 (0.768)	Data 0.001 (0.001)	Loss 2.1475 (2.1656)	Prec@1 50.000 (45.232)	Prec@5 78.906 (75.850)
Epoch: [58][11270/14090]	Time 0.756 (0.768)	Data 0.001 (0.001)	Loss 2.0280 (2.1656)	Prec@1 46.875 (45.233)	Prec@5 77.344 (75.850)
Epoch: [58][11280/14090]	Time 0.755 (0.768)	Data 0.001 (0.001)	Loss 2.1005 (2.1656)	Prec@1 49.219 (45.230)	Prec@5 71.875 (75.849)
Epoch: [58][11290/14090]	Time 0.882 (0.768)	Data 0.001 (0.001)	Loss 1.9809 (2.1656)	Prec@1 50.000 (45.228)	Prec@5 79.688 (75.850)
Epoch: [58][11300/14090]	Time 0.748 (0.768)	Data 0.001 (0.001)	Loss 2.1666 (2.1656)	Prec@1 41.406 (45.229)	Prec@5 78.125 (75.849)
Epoch: [58][11310/14090]	Time 0.750 (0.768)	Data 0.001 (0.001)	Loss 2.2034 (2.1656)	Prec@1 45.312 (45.230)	Prec@5 71.875 (75.849)
Epoch: [58][11320/14090]	Time 0.751 (0.768)	Data 0.001 (0.001)	Loss 2.0724 (2.1657)	Prec@1 50.000 (45.230)	Prec@5 80.469 (75.849)
Epoch: [58][11330/14090]	Time 0.732 (0.768)	Data 0.001 (0.001)	Loss 1.9024 (2.1656)	Prec@1 50.000 (45.230)	Prec@5 82.031 (75.850)
Epoch: [58][11340/14090]	Time 0.726 (0.768)	Data 0.003 (0.001)	Loss 2.1451 (2.1656)	Prec@1 45.312 (45.230)	Prec@5 76.562 (75.850)
Epoch: [58][11350/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 2.3825 (2.1656)	Prec@1 39.062 (45.230)	Prec@5 69.531 (75.850)
Epoch: [58][11360/14090]	Time 0.867 (0.768)	Data 0.001 (0.001)	Loss 2.2326 (2.1657)	Prec@1 43.750 (45.229)	Prec@5 75.000 (75.847)
Epoch: [58][11370/14090]	Time 0.732 (0.768)	Data 0.001 (0.001)	Loss 2.2806 (2.1657)	Prec@1 42.969 (45.229)	Prec@5 77.344 (75.848)
Epoch: [58][11380/14090]	Time 0.728 (0.768)	Data 0.001 (0.001)	Loss 2.1329 (2.1657)	Prec@1 44.531 (45.228)	Prec@5 78.906 (75.849)
Epoch: [58][11390/14090]	Time 0.788 (0.768)	Data 0.001 (0.001)	Loss 1.9250 (2.1657)	Prec@1 45.312 (45.228)	Prec@5 79.688 (75.849)
Epoch: [58][11400/14090]	Time 0.729 (0.768)	Data 0.001 (0.001)	Loss 2.0834 (2.1657)	Prec@1 47.656 (45.226)	Prec@5 78.906 (75.848)
Epoch: [58][11410/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 2.0847 (2.1657)	Prec@1 42.188 (45.225)	Prec@5 80.469 (75.848)
Epoch: [58][11420/14090]	Time 0.768 (0.768)	Data 0.001 (0.001)	Loss 2.0855 (2.1658)	Prec@1 47.656 (45.225)	Prec@5 75.000 (75.847)
Epoch: [58][11430/14090]	Time 0.835 (0.768)	Data 0.001 (0.001)	Loss 2.1990 (2.1657)	Prec@1 47.656 (45.227)	Prec@5 74.219 (75.849)
Epoch: [58][11440/14090]	Time 0.743 (0.768)	Data 0.001 (0.001)	Loss 2.1158 (2.1657)	Prec@1 46.875 (45.225)	Prec@5 74.219 (75.848)
Epoch: [58][11450/14090]	Time 0.749 (0.768)	Data 0.001 (0.001)	Loss 2.2792 (2.1656)	Prec@1 42.188 (45.227)	Prec@5 71.875 (75.849)
Epoch: [58][11460/14090]	Time 0.751 (0.768)	Data 0.001 (0.001)	Loss 2.0327 (2.1657)	Prec@1 44.531 (45.225)	Prec@5 80.469 (75.847)
Epoch: [58][11470/14090]	Time 0.728 (0.768)	Data 0.001 (0.001)	Loss 2.2770 (2.1657)	Prec@1 46.094 (45.225)	Prec@5 70.312 (75.847)
Epoch: [58][11480/14090]	Time 0.725 (0.768)	Data 0.001 (0.001)	Loss 2.2391 (2.1657)	Prec@1 40.625 (45.225)	Prec@5 73.438 (75.847)
Epoch: [58][11490/14090]	Time 0.750 (0.768)	Data 0.001 (0.001)	Loss 2.3474 (2.1657)	Prec@1 40.625 (45.225)	Prec@5 75.000 (75.846)
Epoch: [58][11500/14090]	Time 0.912 (0.768)	Data 0.001 (0.001)	Loss 1.8433 (2.1657)	Prec@1 50.781 (45.224)	Prec@5 82.812 (75.847)
Epoch: [58][11510/14090]	Time 0.750 (0.768)	Data 0.001 (0.001)	Loss 2.2295 (2.1657)	Prec@1 42.969 (45.224)	Prec@5 71.875 (75.847)
Epoch: [58][11520/14090]	Time 0.734 (0.768)	Data 0.001 (0.001)	Loss 2.1060 (2.1657)	Prec@1 48.438 (45.225)	Prec@5 79.688 (75.847)
Epoch: [58][11530/14090]	Time 0.756 (0.768)	Data 0.001 (0.001)	Loss 2.1198 (2.1657)	Prec@1 48.438 (45.225)	Prec@5 75.781 (75.846)
Epoch: [58][11540/14090]	Time 0.749 (0.768)	Data 0.001 (0.001)	Loss 2.1501 (2.1656)	Prec@1 46.875 (45.225)	Prec@5 74.219 (75.847)
Epoch: [58][11550/14090]	Time 0.740 (0.768)	Data 0.001 (0.001)	Loss 2.5937 (2.1657)	Prec@1 40.625 (45.225)	Prec@5 67.969 (75.846)
Epoch: [58][11560/14090]	Time 0.757 (0.768)	Data 0.001 (0.001)	Loss 2.1269 (2.1657)	Prec@1 43.750 (45.226)	Prec@5 76.562 (75.846)
Epoch: [58][11570/14090]	Time 0.861 (0.768)	Data 0.001 (0.001)	Loss 2.3379 (2.1656)	Prec@1 38.281 (45.225)	Prec@5 75.000 (75.847)
Epoch: [58][11580/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 2.2083 (2.1656)	Prec@1 46.094 (45.224)	Prec@5 76.562 (75.846)
Epoch: [58][11590/14090]	Time 0.742 (0.768)	Data 0.001 (0.001)	Loss 2.2296 (2.1656)	Prec@1 43.750 (45.225)	Prec@5 75.781 (75.848)
Epoch: [58][11600/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 2.3414 (2.1656)	Prec@1 45.312 (45.226)	Prec@5 71.094 (75.848)
Epoch: [58][11610/14090]	Time 0.740 (0.768)	Data 0.001 (0.001)	Loss 2.1229 (2.1657)	Prec@1 51.562 (45.225)	Prec@5 75.000 (75.849)
Epoch: [58][11620/14090]	Time 0.734 (0.768)	Data 0.001 (0.001)	Loss 2.0854 (2.1656)	Prec@1 46.875 (45.226)	Prec@5 76.562 (75.850)
Epoch: [58][11630/14090]	Time 0.775 (0.768)	Data 0.001 (0.001)	Loss 2.3538 (2.1656)	Prec@1 42.188 (45.224)	Prec@5 72.656 (75.850)
Epoch: [58][11640/14090]	Time 0.868 (0.768)	Data 0.001 (0.001)	Loss 2.2566 (2.1656)	Prec@1 43.750 (45.224)	Prec@5 72.656 (75.850)
Epoch: [58][11650/14090]	Time 0.745 (0.768)	Data 0.001 (0.001)	Loss 2.1966 (2.1656)	Prec@1 45.312 (45.225)	Prec@5 74.219 (75.850)
Epoch: [58][11660/14090]	Time 0.751 (0.768)	Data 0.003 (0.001)	Loss 2.1519 (2.1656)	Prec@1 42.969 (45.225)	Prec@5 78.125 (75.851)
Epoch: [58][11670/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 2.2594 (2.1655)	Prec@1 43.750 (45.226)	Prec@5 76.562 (75.852)
Epoch: [58][11680/14090]	Time 0.726 (0.768)	Data 0.001 (0.001)	Loss 2.1697 (2.1655)	Prec@1 46.875 (45.227)	Prec@5 74.219 (75.851)
Epoch: [58][11690/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 2.2690 (2.1655)	Prec@1 42.188 (45.227)	Prec@5 75.781 (75.851)
Epoch: [58][11700/14090]	Time 0.734 (0.768)	Data 0.001 (0.001)	Loss 1.8487 (2.1655)	Prec@1 52.344 (45.230)	Prec@5 83.594 (75.852)
Epoch: [58][11710/14090]	Time 0.863 (0.768)	Data 0.001 (0.001)	Loss 2.4808 (2.1655)	Prec@1 32.031 (45.228)	Prec@5 70.312 (75.850)
Epoch: [58][11720/14090]	Time 0.761 (0.768)	Data 0.001 (0.001)	Loss 1.9707 (2.1655)	Prec@1 52.344 (45.230)	Prec@5 82.812 (75.851)
Epoch: [58][11730/14090]	Time 0.734 (0.768)	Data 0.001 (0.001)	Loss 2.2299 (2.1654)	Prec@1 40.625 (45.232)	Prec@5 74.219 (75.851)
Epoch: [58][11740/14090]	Time 0.761 (0.768)	Data 0.001 (0.001)	Loss 1.9903 (2.1654)	Prec@1 45.312 (45.232)	Prec@5 78.906 (75.851)
Epoch: [58][11750/14090]	Time 0.723 (0.768)	Data 0.001 (0.001)	Loss 2.0841 (2.1653)	Prec@1 48.438 (45.235)	Prec@5 78.125 (75.853)
Epoch: [58][11760/14090]	Time 0.759 (0.768)	Data 0.001 (0.001)	Loss 2.0764 (2.1653)	Prec@1 47.656 (45.235)	Prec@5 78.906 (75.853)
Epoch: [58][11770/14090]	Time 0.740 (0.768)	Data 0.001 (0.001)	Loss 2.3119 (2.1653)	Prec@1 43.750 (45.235)	Prec@5 75.781 (75.853)
Epoch: [58][11780/14090]	Time 0.929 (0.768)	Data 0.001 (0.001)	Loss 1.9235 (2.1652)	Prec@1 45.312 (45.235)	Prec@5 79.688 (75.854)
Epoch: [58][11790/14090]	Time 0.733 (0.768)	Data 0.001 (0.001)	Loss 2.1591 (2.1652)	Prec@1 43.750 (45.235)	Prec@5 78.906 (75.854)
Epoch: [58][11800/14090]	Time 0.772 (0.768)	Data 0.001 (0.001)	Loss 1.9455 (2.1652)	Prec@1 48.438 (45.234)	Prec@5 76.562 (75.852)
Epoch: [58][11810/14090]	Time 0.763 (0.768)	Data 0.001 (0.001)	Loss 2.2813 (2.1652)	Prec@1 41.406 (45.233)	Prec@5 73.438 (75.853)
Epoch: [58][11820/14090]	Time 0.769 (0.768)	Data 0.001 (0.001)	Loss 2.4575 (2.1653)	Prec@1 40.625 (45.231)	Prec@5 72.656 (75.852)
Epoch: [58][11830/14090]	Time 0.748 (0.768)	Data 0.001 (0.001)	Loss 2.1862 (2.1653)	Prec@1 47.656 (45.232)	Prec@5 74.219 (75.852)
Epoch: [58][11840/14090]	Time 0.732 (0.768)	Data 0.001 (0.001)	Loss 1.9977 (2.1653)	Prec@1 53.125 (45.231)	Prec@5 77.344 (75.851)
Epoch: [58][11850/14090]	Time 0.905 (0.768)	Data 0.001 (0.001)	Loss 2.1838 (2.1653)	Prec@1 46.875 (45.231)	Prec@5 76.562 (75.852)
Epoch: [58][11860/14090]	Time 0.733 (0.768)	Data 0.001 (0.001)	Loss 2.4082 (2.1654)	Prec@1 42.188 (45.230)	Prec@5 69.531 (75.851)
Epoch: [58][11870/14090]	Time 0.744 (0.768)	Data 0.001 (0.001)	Loss 2.1794 (2.1654)	Prec@1 47.656 (45.231)	Prec@5 77.344 (75.852)
Epoch: [58][11880/14090]	Time 0.746 (0.768)	Data 0.001 (0.001)	Loss 2.0189 (2.1654)	Prec@1 47.656 (45.232)	Prec@5 80.469 (75.852)
Epoch: [58][11890/14090]	Time 0.761 (0.768)	Data 0.001 (0.001)	Loss 2.2266 (2.1654)	Prec@1 45.312 (45.232)	Prec@5 73.438 (75.851)
Epoch: [58][11900/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 2.0856 (2.1654)	Prec@1 50.781 (45.232)	Prec@5 75.781 (75.851)
Epoch: [58][11910/14090]	Time 0.751 (0.768)	Data 0.001 (0.001)	Loss 2.3146 (2.1655)	Prec@1 39.844 (45.231)	Prec@5 73.438 (75.849)
Epoch: [58][11920/14090]	Time 0.859 (0.768)	Data 0.001 (0.001)	Loss 2.2133 (2.1655)	Prec@1 42.188 (45.230)	Prec@5 77.344 (75.849)
Epoch: [58][11930/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 2.3325 (2.1655)	Prec@1 44.531 (45.231)	Prec@5 74.219 (75.849)
Epoch: [58][11940/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 2.0314 (2.1654)	Prec@1 54.688 (45.232)	Prec@5 74.219 (75.850)
Epoch: [58][11950/14090]	Time 0.751 (0.768)	Data 0.001 (0.001)	Loss 2.1350 (2.1654)	Prec@1 45.312 (45.233)	Prec@5 74.219 (75.850)
Epoch: [58][11960/14090]	Time 0.724 (0.768)	Data 0.001 (0.001)	Loss 2.1830 (2.1654)	Prec@1 50.781 (45.232)	Prec@5 71.094 (75.850)
Epoch: [58][11970/14090]	Time 0.758 (0.768)	Data 0.001 (0.001)	Loss 2.4806 (2.1655)	Prec@1 40.625 (45.231)	Prec@5 67.188 (75.847)
Epoch: [58][11980/14090]	Time 0.776 (0.768)	Data 0.001 (0.001)	Loss 1.9684 (2.1655)	Prec@1 45.312 (45.232)	Prec@5 79.688 (75.849)
Epoch: [58][11990/14090]	Time 0.884 (0.768)	Data 0.001 (0.001)	Loss 2.2432 (2.1655)	Prec@1 46.094 (45.232)	Prec@5 75.000 (75.847)
Epoch: [58][12000/14090]	Time 0.735 (0.768)	Data 0.001 (0.001)	Loss 2.1463 (2.1655)	Prec@1 40.625 (45.233)	Prec@5 75.000 (75.847)
Epoch: [58][12010/14090]	Time 0.722 (0.768)	Data 0.001 (0.001)	Loss 2.3612 (2.1656)	Prec@1 42.188 (45.230)	Prec@5 77.344 (75.845)
Epoch: [58][12020/14090]	Time 0.727 (0.768)	Data 0.001 (0.001)	Loss 2.1992 (2.1656)	Prec@1 43.750 (45.230)	Prec@5 74.219 (75.844)
Epoch: [58][12030/14090]	Time 0.773 (0.768)	Data 0.001 (0.001)	Loss 2.1022 (2.1656)	Prec@1 46.875 (45.230)	Prec@5 78.125 (75.845)
Epoch: [58][12040/14090]	Time 0.729 (0.768)	Data 0.001 (0.001)	Loss 2.2655 (2.1657)	Prec@1 46.875 (45.228)	Prec@5 67.188 (75.843)
Epoch: [58][12050/14090]	Time 0.782 (0.768)	Data 0.001 (0.001)	Loss 2.1200 (2.1657)	Prec@1 47.656 (45.227)	Prec@5 81.250 (75.843)
Epoch: [58][12060/14090]	Time 0.922 (0.768)	Data 0.001 (0.001)	Loss 2.4345 (2.1658)	Prec@1 44.531 (45.226)	Prec@5 68.750 (75.842)
Epoch: [58][12070/14090]	Time 0.733 (0.768)	Data 0.001 (0.001)	Loss 1.9473 (2.1658)	Prec@1 50.000 (45.226)	Prec@5 82.031 (75.843)
Epoch: [58][12080/14090]	Time 0.742 (0.768)	Data 0.001 (0.001)	Loss 2.2169 (2.1657)	Prec@1 46.875 (45.226)	Prec@5 74.219 (75.843)
Epoch: [58][12090/14090]	Time 0.737 (0.768)	Data 0.001 (0.001)	Loss 2.2659 (2.1658)	Prec@1 39.844 (45.225)	Prec@5 76.562 (75.843)
Epoch: [58][12100/14090]	Time 0.772 (0.768)	Data 0.001 (0.001)	Loss 2.0234 (2.1657)	Prec@1 42.969 (45.223)	Prec@5 78.906 (75.844)
Epoch: [58][12110/14090]	Time 0.742 (0.768)	Data 0.001 (0.001)	Loss 2.3967 (2.1658)	Prec@1 38.281 (45.222)	Prec@5 71.875 (75.843)
Epoch: [58][12120/14090]	Time 0.772 (0.768)	Data 0.001 (0.001)	Loss 2.1806 (2.1657)	Prec@1 40.625 (45.223)	Prec@5 74.219 (75.843)
Epoch: [58][12130/14090]	Time 0.848 (0.768)	Data 0.001 (0.001)	Loss 2.1044 (2.1656)	Prec@1 44.531 (45.224)	Prec@5 78.125 (75.844)
Epoch: [58][12140/14090]	Time 0.748 (0.768)	Data 0.001 (0.001)	Loss 2.5292 (2.1656)	Prec@1 37.500 (45.227)	Prec@5 69.531 (75.844)
Epoch: [58][12150/14090]	Time 0.727 (0.768)	Data 0.001 (0.001)	Loss 1.8829 (2.1655)	Prec@1 49.219 (45.227)	Prec@5 80.469 (75.844)
Epoch: [58][12160/14090]	Time 0.727 (0.768)	Data 0.001 (0.001)	Loss 2.0750 (2.1656)	Prec@1 48.438 (45.226)	Prec@5 76.562 (75.843)
Epoch: [58][12170/14090]	Time 0.757 (0.768)	Data 0.001 (0.001)	Loss 2.3538 (2.1657)	Prec@1 42.969 (45.223)	Prec@5 75.781 (75.843)
Epoch: [58][12180/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 2.3197 (2.1657)	Prec@1 41.406 (45.222)	Prec@5 71.094 (75.842)
Epoch: [58][12190/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 2.1798 (2.1656)	Prec@1 46.875 (45.225)	Prec@5 75.781 (75.843)
Epoch: [58][12200/14090]	Time 0.868 (0.768)	Data 0.001 (0.001)	Loss 2.5089 (2.1657)	Prec@1 35.156 (45.224)	Prec@5 71.094 (75.841)
Epoch: [58][12210/14090]	Time 0.760 (0.768)	Data 0.001 (0.001)	Loss 2.2687 (2.1658)	Prec@1 44.531 (45.222)	Prec@5 76.562 (75.839)
Epoch: [58][12220/14090]	Time 0.754 (0.768)	Data 0.001 (0.001)	Loss 2.5163 (2.1658)	Prec@1 42.969 (45.222)	Prec@5 71.094 (75.839)
Epoch: [58][12230/14090]	Time 0.760 (0.768)	Data 0.001 (0.001)	Loss 2.1137 (2.1658)	Prec@1 45.312 (45.222)	Prec@5 75.000 (75.838)
Epoch: [58][12240/14090]	Time 0.742 (0.768)	Data 0.001 (0.001)	Loss 2.1644 (2.1658)	Prec@1 45.312 (45.223)	Prec@5 75.000 (75.838)
Epoch: [58][12250/14090]	Time 0.754 (0.768)	Data 0.001 (0.001)	Loss 2.1016 (2.1659)	Prec@1 50.781 (45.221)	Prec@5 75.781 (75.838)
Epoch: [58][12260/14090]	Time 0.757 (0.768)	Data 0.001 (0.001)	Loss 1.9641 (2.1659)	Prec@1 48.438 (45.220)	Prec@5 78.125 (75.836)
Epoch: [58][12270/14090]	Time 0.883 (0.768)	Data 0.001 (0.001)	Loss 2.3348 (2.1659)	Prec@1 38.281 (45.221)	Prec@5 74.219 (75.837)
Epoch: [58][12280/14090]	Time 0.762 (0.768)	Data 0.001 (0.001)	Loss 2.0568 (2.1659)	Prec@1 49.219 (45.221)	Prec@5 78.906 (75.838)
Epoch: [58][12290/14090]	Time 0.748 (0.768)	Data 0.001 (0.001)	Loss 2.2404 (2.1658)	Prec@1 41.406 (45.222)	Prec@5 72.656 (75.838)
Epoch: [58][12300/14090]	Time 0.778 (0.768)	Data 0.001 (0.001)	Loss 2.2281 (2.1659)	Prec@1 43.750 (45.221)	Prec@5 75.781 (75.837)
Epoch: [58][12310/14090]	Time 0.744 (0.768)	Data 0.001 (0.001)	Loss 1.9836 (2.1658)	Prec@1 52.344 (45.223)	Prec@5 78.906 (75.838)
Epoch: [58][12320/14090]	Time 0.732 (0.768)	Data 0.001 (0.001)	Loss 2.0258 (2.1658)	Prec@1 49.219 (45.225)	Prec@5 79.688 (75.840)
Epoch: [58][12330/14090]	Time 0.750 (0.768)	Data 0.001 (0.001)	Loss 1.9349 (2.1657)	Prec@1 50.000 (45.225)	Prec@5 80.469 (75.841)
Epoch: [58][12340/14090]	Time 0.922 (0.768)	Data 0.001 (0.001)	Loss 2.1176 (2.1657)	Prec@1 46.094 (45.225)	Prec@5 77.344 (75.841)
Epoch: [58][12350/14090]	Time 0.762 (0.768)	Data 0.001 (0.001)	Loss 2.1770 (2.1657)	Prec@1 44.531 (45.225)	Prec@5 78.125 (75.841)
Epoch: [58][12360/14090]	Time 0.778 (0.768)	Data 0.001 (0.001)	Loss 2.1879 (2.1657)	Prec@1 41.406 (45.225)	Prec@5 74.219 (75.841)
Epoch: [58][12370/14090]	Time 0.769 (0.768)	Data 0.001 (0.001)	Loss 2.1676 (2.1657)	Prec@1 46.875 (45.226)	Prec@5 73.438 (75.841)
Epoch: [58][12380/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 2.3945 (2.1657)	Prec@1 39.062 (45.225)	Prec@5 71.875 (75.841)
Epoch: [58][12390/14090]	Time 0.742 (0.768)	Data 0.001 (0.001)	Loss 2.0950 (2.1658)	Prec@1 50.000 (45.224)	Prec@5 76.562 (75.840)
Epoch: [58][12400/14090]	Time 0.745 (0.768)	Data 0.001 (0.001)	Loss 2.1793 (2.1658)	Prec@1 46.875 (45.222)	Prec@5 72.656 (75.840)
Epoch: [58][12410/14090]	Time 0.899 (0.768)	Data 0.001 (0.001)	Loss 2.2202 (2.1658)	Prec@1 44.531 (45.222)	Prec@5 74.219 (75.839)
Epoch: [58][12420/14090]	Time 0.744 (0.768)	Data 0.001 (0.001)	Loss 2.1759 (2.1658)	Prec@1 41.406 (45.222)	Prec@5 77.344 (75.839)
Epoch: [58][12430/14090]	Time 0.759 (0.768)	Data 0.001 (0.001)	Loss 2.3719 (2.1658)	Prec@1 39.062 (45.221)	Prec@5 73.438 (75.839)
Epoch: [58][12440/14090]	Time 0.733 (0.768)	Data 0.001 (0.001)	Loss 1.9882 (2.1658)	Prec@1 46.875 (45.220)	Prec@5 80.469 (75.839)
Epoch: [58][12450/14090]	Time 0.779 (0.768)	Data 0.001 (0.001)	Loss 2.3379 (2.1658)	Prec@1 44.531 (45.221)	Prec@5 73.438 (75.839)
Epoch: [58][12460/14090]	Time 0.733 (0.768)	Data 0.001 (0.001)	Loss 2.1302 (2.1658)	Prec@1 40.625 (45.219)	Prec@5 76.562 (75.838)
Epoch: [58][12470/14090]	Time 0.776 (0.768)	Data 0.001 (0.001)	Loss 2.1878 (2.1658)	Prec@1 47.656 (45.221)	Prec@5 79.688 (75.840)
Epoch: [58][12480/14090]	Time 0.846 (0.768)	Data 0.001 (0.001)	Loss 2.1336 (2.1657)	Prec@1 49.219 (45.223)	Prec@5 78.906 (75.843)
Epoch: [58][12490/14090]	Time 0.749 (0.768)	Data 0.001 (0.001)	Loss 1.9189 (2.1657)	Prec@1 48.438 (45.222)	Prec@5 82.031 (75.844)
Epoch: [58][12500/14090]	Time 0.745 (0.768)	Data 0.001 (0.001)	Loss 2.1032 (2.1657)	Prec@1 47.656 (45.222)	Prec@5 76.562 (75.844)
Epoch: [58][12510/14090]	Time 0.769 (0.768)	Data 0.001 (0.001)	Loss 1.8234 (2.1657)	Prec@1 53.906 (45.223)	Prec@5 80.469 (75.843)
Epoch: [58][12520/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 2.3924 (2.1657)	Prec@1 39.844 (45.222)	Prec@5 70.312 (75.843)
Epoch: [58][12530/14090]	Time 0.732 (0.768)	Data 0.001 (0.001)	Loss 2.3705 (2.1657)	Prec@1 46.094 (45.223)	Prec@5 66.406 (75.842)
Epoch: [58][12540/14090]	Time 0.764 (0.768)	Data 0.001 (0.001)	Loss 2.4127 (2.1657)	Prec@1 42.188 (45.224)	Prec@5 71.875 (75.842)
Epoch: [58][12550/14090]	Time 0.891 (0.768)	Data 0.001 (0.001)	Loss 2.0460 (2.1657)	Prec@1 44.531 (45.224)	Prec@5 77.344 (75.843)
Epoch: [58][12560/14090]	Time 0.755 (0.768)	Data 0.001 (0.001)	Loss 2.2812 (2.1657)	Prec@1 46.875 (45.226)	Prec@5 74.219 (75.843)
Epoch: [58][12570/14090]	Time 0.732 (0.768)	Data 0.001 (0.001)	Loss 2.1180 (2.1657)	Prec@1 52.344 (45.227)	Prec@5 75.781 (75.843)
Epoch: [58][12580/14090]	Time 0.740 (0.768)	Data 0.001 (0.001)	Loss 2.2547 (2.1656)	Prec@1 46.094 (45.229)	Prec@5 75.000 (75.843)
Epoch: [58][12590/14090]	Time 0.758 (0.768)	Data 0.001 (0.001)	Loss 2.3579 (2.1657)	Prec@1 40.625 (45.228)	Prec@5 75.781 (75.841)
Epoch: [58][12600/14090]	Time 0.759 (0.768)	Data 0.001 (0.001)	Loss 2.2207 (2.1657)	Prec@1 43.750 (45.227)	Prec@5 72.656 (75.840)
Epoch: [58][12610/14090]	Time 0.741 (0.768)	Data 0.001 (0.001)	Loss 2.1174 (2.1658)	Prec@1 52.344 (45.228)	Prec@5 77.344 (75.840)
Epoch: [58][12620/14090]	Time 0.874 (0.768)	Data 0.001 (0.001)	Loss 2.2000 (2.1658)	Prec@1 42.188 (45.229)	Prec@5 78.125 (75.840)
Epoch: [58][12630/14090]	Time 0.760 (0.768)	Data 0.001 (0.001)	Loss 2.0487 (2.1658)	Prec@1 54.688 (45.231)	Prec@5 78.125 (75.840)
Epoch: [58][12640/14090]	Time 0.763 (0.768)	Data 0.001 (0.001)	Loss 2.1067 (2.1658)	Prec@1 52.344 (45.231)	Prec@5 78.906 (75.840)
Epoch: [58][12650/14090]	Time 0.730 (0.768)	Data 0.001 (0.001)	Loss 2.0490 (2.1657)	Prec@1 43.750 (45.232)	Prec@5 78.125 (75.842)
Epoch: [58][12660/14090]	Time 0.740 (0.768)	Data 0.001 (0.001)	Loss 1.8203 (2.1658)	Prec@1 50.000 (45.232)	Prec@5 85.938 (75.841)
Epoch: [58][12670/14090]	Time 0.735 (0.768)	Data 0.001 (0.001)	Loss 2.0408 (2.1658)	Prec@1 45.312 (45.230)	Prec@5 78.906 (75.842)
Epoch: [58][12680/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 2.1575 (2.1658)	Prec@1 45.312 (45.229)	Prec@5 75.000 (75.840)
Epoch: [58][12690/14090]	Time 0.843 (0.768)	Data 0.001 (0.001)	Loss 2.0849 (2.1658)	Prec@1 50.781 (45.229)	Prec@5 77.344 (75.841)
Epoch: [58][12700/14090]	Time 0.751 (0.768)	Data 0.002 (0.001)	Loss 2.1128 (2.1658)	Prec@1 43.750 (45.230)	Prec@5 79.688 (75.842)
Epoch: [58][12710/14090]	Time 0.749 (0.768)	Data 0.001 (0.001)	Loss 2.0877 (2.1658)	Prec@1 46.094 (45.230)	Prec@5 74.219 (75.842)
Epoch: [58][12720/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 2.2474 (2.1658)	Prec@1 41.406 (45.229)	Prec@5 72.656 (75.841)
Epoch: [58][12730/14090]	Time 0.756 (0.768)	Data 0.001 (0.001)	Loss 2.0181 (2.1658)	Prec@1 46.875 (45.229)	Prec@5 79.688 (75.841)
Epoch: [58][12740/14090]	Time 0.754 (0.768)	Data 0.001 (0.001)	Loss 2.0034 (2.1659)	Prec@1 48.438 (45.228)	Prec@5 78.906 (75.841)
Epoch: [58][12750/14090]	Time 0.779 (0.768)	Data 0.001 (0.001)	Loss 1.9272 (2.1659)	Prec@1 50.000 (45.228)	Prec@5 78.906 (75.840)
Epoch: [58][12760/14090]	Time 0.883 (0.768)	Data 0.001 (0.001)	Loss 1.9497 (2.1659)	Prec@1 47.656 (45.229)	Prec@5 85.156 (75.840)
Epoch: [58][12770/14090]	Time 0.737 (0.768)	Data 0.001 (0.001)	Loss 2.2469 (2.1659)	Prec@1 42.969 (45.228)	Prec@5 72.656 (75.839)
Epoch: [58][12780/14090]	Time 0.756 (0.768)	Data 0.001 (0.001)	Loss 1.9786 (2.1659)	Prec@1 44.531 (45.228)	Prec@5 81.250 (75.840)
Epoch: [58][12790/14090]	Time 0.733 (0.768)	Data 0.001 (0.001)	Loss 2.2139 (2.1660)	Prec@1 42.188 (45.226)	Prec@5 75.000 (75.839)
Epoch: [58][12800/14090]	Time 0.742 (0.768)	Data 0.001 (0.001)	Loss 2.4665 (2.1660)	Prec@1 40.625 (45.226)	Prec@5 74.219 (75.839)
Epoch: [58][12810/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 1.8128 (2.1659)	Prec@1 53.125 (45.228)	Prec@5 85.156 (75.841)
Epoch: [58][12820/14090]	Time 0.768 (0.768)	Data 0.001 (0.001)	Loss 2.1612 (2.1659)	Prec@1 42.969 (45.229)	Prec@5 78.125 (75.842)
Epoch: [58][12830/14090]	Time 0.855 (0.768)	Data 0.001 (0.001)	Loss 2.3497 (2.1659)	Prec@1 36.719 (45.229)	Prec@5 74.219 (75.841)
Epoch: [58][12840/14090]	Time 0.724 (0.768)	Data 0.001 (0.001)	Loss 2.0589 (2.1659)	Prec@1 42.969 (45.230)	Prec@5 80.469 (75.842)
Epoch: [58][12850/14090]	Time 0.756 (0.768)	Data 0.001 (0.001)	Loss 2.0777 (2.1658)	Prec@1 46.094 (45.232)	Prec@5 75.000 (75.843)
Epoch: [58][12860/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 2.3199 (2.1659)	Prec@1 39.062 (45.231)	Prec@5 78.125 (75.842)
Epoch: [58][12870/14090]	Time 0.747 (0.768)	Data 0.001 (0.001)	Loss 2.1468 (2.1659)	Prec@1 47.656 (45.231)	Prec@5 76.562 (75.842)
Epoch: [58][12880/14090]	Time 0.760 (0.768)	Data 0.001 (0.001)	Loss 2.4700 (2.1659)	Prec@1 39.844 (45.229)	Prec@5 66.406 (75.841)
Epoch: [58][12890/14090]	Time 0.744 (0.768)	Data 0.001 (0.001)	Loss 1.7639 (2.1659)	Prec@1 55.469 (45.230)	Prec@5 83.594 (75.842)
Epoch: [58][12900/14090]	Time 0.873 (0.768)	Data 0.001 (0.001)	Loss 2.0334 (2.1658)	Prec@1 47.656 (45.230)	Prec@5 76.562 (75.842)
Epoch: [58][12910/14090]	Time 0.774 (0.768)	Data 0.001 (0.001)	Loss 2.0728 (2.1658)	Prec@1 54.688 (45.230)	Prec@5 78.125 (75.843)
Epoch: [58][12920/14090]	Time 0.744 (0.768)	Data 0.001 (0.001)	Loss 2.0672 (2.1658)	Prec@1 42.188 (45.230)	Prec@5 77.344 (75.842)
Epoch: [58][12930/14090]	Time 0.728 (0.768)	Data 0.001 (0.001)	Loss 1.9658 (2.1658)	Prec@1 45.312 (45.229)	Prec@5 78.906 (75.842)
Epoch: [58][12940/14090]	Time 0.740 (0.768)	Data 0.001 (0.001)	Loss 2.2180 (2.1659)	Prec@1 46.875 (45.229)	Prec@5 74.219 (75.841)
Epoch: [58][12950/14090]	Time 0.761 (0.768)	Data 0.001 (0.001)	Loss 2.0544 (2.1658)	Prec@1 53.125 (45.229)	Prec@5 76.562 (75.841)
Epoch: [58][12960/14090]	Time 0.764 (0.768)	Data 0.001 (0.001)	Loss 2.3846 (2.1658)	Prec@1 32.031 (45.229)	Prec@5 76.562 (75.842)
Epoch: [58][12970/14090]	Time 0.884 (0.768)	Data 0.001 (0.001)	Loss 1.8387 (2.1658)	Prec@1 46.875 (45.228)	Prec@5 80.469 (75.844)
Epoch: [58][12980/14090]	Time 0.758 (0.768)	Data 0.001 (0.001)	Loss 2.2168 (2.1658)	Prec@1 42.188 (45.228)	Prec@5 68.750 (75.842)
Epoch: [58][12990/14090]	Time 0.728 (0.768)	Data 0.001 (0.001)	Loss 2.4441 (2.1658)	Prec@1 42.188 (45.227)	Prec@5 73.438 (75.841)
Epoch: [58][13000/14090]	Time 0.732 (0.768)	Data 0.001 (0.001)	Loss 1.9842 (2.1658)	Prec@1 46.875 (45.227)	Prec@5 79.688 (75.841)
Epoch: [58][13010/14090]	Time 0.745 (0.768)	Data 0.001 (0.001)	Loss 2.2109 (2.1658)	Prec@1 41.406 (45.227)	Prec@5 77.344 (75.841)
Epoch: [58][13020/14090]	Time 0.729 (0.768)	Data 0.002 (0.001)	Loss 1.9762 (2.1658)	Prec@1 46.875 (45.228)	Prec@5 80.469 (75.840)
Epoch: [58][13030/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 2.0470 (2.1658)	Prec@1 49.219 (45.227)	Prec@5 78.125 (75.839)
Epoch: [58][13040/14090]	Time 0.869 (0.768)	Data 0.001 (0.001)	Loss 1.9950 (2.1658)	Prec@1 48.438 (45.228)	Prec@5 80.469 (75.840)
Epoch: [58][13050/14090]	Time 0.747 (0.768)	Data 0.001 (0.001)	Loss 2.3193 (2.1659)	Prec@1 34.375 (45.227)	Prec@5 73.438 (75.839)
Epoch: [58][13060/14090]	Time 0.737 (0.768)	Data 0.001 (0.001)	Loss 2.4037 (2.1659)	Prec@1 43.750 (45.226)	Prec@5 71.875 (75.838)
Epoch: [58][13070/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 2.0697 (2.1659)	Prec@1 44.531 (45.227)	Prec@5 79.688 (75.838)
Epoch: [58][13080/14090]	Time 0.737 (0.768)	Data 0.001 (0.001)	Loss 2.1421 (2.1660)	Prec@1 46.875 (45.225)	Prec@5 76.562 (75.836)
Epoch: [58][13090/14090]	Time 0.755 (0.768)	Data 0.001 (0.001)	Loss 1.8157 (2.1660)	Prec@1 55.469 (45.225)	Prec@5 79.688 (75.835)
Epoch: [58][13100/14090]	Time 0.737 (0.768)	Data 0.001 (0.001)	Loss 2.2713 (2.1660)	Prec@1 42.188 (45.225)	Prec@5 77.344 (75.836)
Epoch: [58][13110/14090]	Time 0.830 (0.768)	Data 0.001 (0.001)	Loss 2.4880 (2.1660)	Prec@1 35.156 (45.223)	Prec@5 73.438 (75.834)
Epoch: [58][13120/14090]	Time 0.734 (0.768)	Data 0.001 (0.001)	Loss 2.1955 (2.1661)	Prec@1 41.406 (45.221)	Prec@5 73.438 (75.833)
Epoch: [58][13130/14090]	Time 0.761 (0.768)	Data 0.001 (0.001)	Loss 2.0214 (2.1661)	Prec@1 50.781 (45.222)	Prec@5 78.906 (75.834)
Epoch: [58][13140/14090]	Time 0.732 (0.768)	Data 0.001 (0.001)	Loss 2.2190 (2.1660)	Prec@1 45.312 (45.223)	Prec@5 71.094 (75.834)
Epoch: [58][13150/14090]	Time 0.748 (0.768)	Data 0.001 (0.001)	Loss 2.1421 (2.1660)	Prec@1 46.094 (45.225)	Prec@5 76.562 (75.836)
Epoch: [58][13160/14090]	Time 0.757 (0.768)	Data 0.001 (0.001)	Loss 2.3948 (2.1660)	Prec@1 39.844 (45.224)	Prec@5 74.219 (75.836)
Epoch: [58][13170/14090]	Time 0.763 (0.768)	Data 0.001 (0.001)	Loss 2.1460 (2.1660)	Prec@1 47.656 (45.224)	Prec@5 76.562 (75.835)
Epoch: [58][13180/14090]	Time 0.892 (0.768)	Data 0.001 (0.001)	Loss 2.3463 (2.1660)	Prec@1 48.438 (45.225)	Prec@5 71.875 (75.836)
Epoch: [58][13190/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 2.2417 (2.1659)	Prec@1 42.969 (45.226)	Prec@5 71.094 (75.837)
Epoch: [58][13200/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 2.0102 (2.1659)	Prec@1 40.625 (45.226)	Prec@5 79.688 (75.837)
Epoch: [58][13210/14090]	Time 0.748 (0.768)	Data 0.001 (0.001)	Loss 2.5553 (2.1660)	Prec@1 38.281 (45.227)	Prec@5 67.969 (75.838)
Epoch: [58][13220/14090]	Time 0.729 (0.768)	Data 0.001 (0.001)	Loss 2.2267 (2.1660)	Prec@1 40.625 (45.225)	Prec@5 80.469 (75.838)
Epoch: [58][13230/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 2.0865 (2.1660)	Prec@1 49.219 (45.225)	Prec@5 78.906 (75.838)
Epoch: [58][13240/14090]	Time 0.735 (0.768)	Data 0.001 (0.001)	Loss 2.1141 (2.1660)	Prec@1 46.094 (45.227)	Prec@5 76.562 (75.838)
Epoch: [58][13250/14090]	Time 0.877 (0.768)	Data 0.001 (0.001)	Loss 2.1571 (2.1660)	Prec@1 46.094 (45.228)	Prec@5 78.125 (75.838)
Epoch: [58][13260/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 2.2875 (2.1660)	Prec@1 45.312 (45.227)	Prec@5 71.875 (75.837)
Epoch: [58][13270/14090]	Time 0.774 (0.768)	Data 0.001 (0.001)	Loss 1.9854 (2.1660)	Prec@1 46.094 (45.227)	Prec@5 78.906 (75.837)
Epoch: [58][13280/14090]	Time 0.762 (0.768)	Data 0.001 (0.001)	Loss 2.1388 (2.1660)	Prec@1 43.750 (45.225)	Prec@5 74.219 (75.837)
Epoch: [58][13290/14090]	Time 0.757 (0.768)	Data 0.001 (0.001)	Loss 2.1134 (2.1660)	Prec@1 40.625 (45.224)	Prec@5 78.906 (75.836)
Epoch: [58][13300/14090]	Time 0.733 (0.768)	Data 0.001 (0.001)	Loss 2.1743 (2.1660)	Prec@1 45.312 (45.224)	Prec@5 78.125 (75.837)
Epoch: [58][13310/14090]	Time 0.783 (0.768)	Data 0.001 (0.001)	Loss 2.0632 (2.1659)	Prec@1 43.750 (45.226)	Prec@5 78.906 (75.838)
Epoch: [58][13320/14090]	Time 0.888 (0.768)	Data 0.001 (0.001)	Loss 2.1304 (2.1658)	Prec@1 46.094 (45.226)	Prec@5 73.438 (75.837)
Epoch: [58][13330/14090]	Time 0.730 (0.768)	Data 0.001 (0.001)	Loss 2.2697 (2.1658)	Prec@1 42.969 (45.226)	Prec@5 69.531 (75.836)
Epoch: [58][13340/14090]	Time 0.742 (0.768)	Data 0.001 (0.001)	Loss 2.0474 (2.1658)	Prec@1 47.656 (45.226)	Prec@5 75.000 (75.836)
Epoch: [58][13350/14090]	Time 0.737 (0.768)	Data 0.001 (0.001)	Loss 2.2251 (2.1659)	Prec@1 43.750 (45.227)	Prec@5 78.125 (75.836)
Epoch: [58][13360/14090]	Time 0.775 (0.768)	Data 0.001 (0.001)	Loss 2.2245 (2.1659)	Prec@1 44.531 (45.226)	Prec@5 71.094 (75.836)
Epoch: [58][13370/14090]	Time 0.761 (0.768)	Data 0.001 (0.001)	Loss 2.2480 (2.1659)	Prec@1 39.062 (45.225)	Prec@5 76.562 (75.836)
Epoch: [58][13380/14090]	Time 0.759 (0.768)	Data 0.001 (0.001)	Loss 2.1513 (2.1660)	Prec@1 46.094 (45.223)	Prec@5 77.344 (75.835)
Epoch: [58][13390/14090]	Time 0.878 (0.768)	Data 0.001 (0.001)	Loss 1.9238 (2.1660)	Prec@1 53.906 (45.221)	Prec@5 78.125 (75.834)
Epoch: [58][13400/14090]	Time 0.732 (0.768)	Data 0.001 (0.001)	Loss 2.2305 (2.1661)	Prec@1 40.625 (45.221)	Prec@5 75.000 (75.834)
Epoch: [58][13410/14090]	Time 0.759 (0.768)	Data 0.001 (0.001)	Loss 2.2025 (2.1660)	Prec@1 46.094 (45.221)	Prec@5 73.438 (75.835)
Epoch: [58][13420/14090]	Time 0.735 (0.768)	Data 0.002 (0.001)	Loss 2.3204 (2.1660)	Prec@1 50.781 (45.221)	Prec@5 70.312 (75.834)
Epoch: [58][13430/14090]	Time 0.729 (0.768)	Data 0.001 (0.001)	Loss 2.2529 (2.1660)	Prec@1 42.188 (45.219)	Prec@5 74.219 (75.834)
Epoch: [58][13440/14090]	Time 0.734 (0.768)	Data 0.001 (0.001)	Loss 2.2015 (2.1661)	Prec@1 44.531 (45.218)	Prec@5 77.344 (75.834)
Epoch: [58][13450/14090]	Time 0.761 (0.768)	Data 0.001 (0.001)	Loss 2.3100 (2.1661)	Prec@1 38.281 (45.217)	Prec@5 72.656 (75.835)
Epoch: [58][13460/14090]	Time 0.847 (0.768)	Data 0.001 (0.001)	Loss 2.3336 (2.1660)	Prec@1 37.500 (45.219)	Prec@5 71.875 (75.836)
Epoch: [58][13470/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 2.3264 (2.1660)	Prec@1 42.969 (45.219)	Prec@5 71.875 (75.836)
Epoch: [58][13480/14090]	Time 0.748 (0.768)	Data 0.001 (0.001)	Loss 2.2684 (2.1661)	Prec@1 42.969 (45.218)	Prec@5 72.656 (75.835)
Epoch: [58][13490/14090]	Time 0.726 (0.768)	Data 0.001 (0.001)	Loss 2.2205 (2.1661)	Prec@1 43.750 (45.217)	Prec@5 75.000 (75.834)
Epoch: [58][13500/14090]	Time 0.773 (0.768)	Data 0.001 (0.001)	Loss 2.3471 (2.1662)	Prec@1 37.500 (45.215)	Prec@5 71.094 (75.832)
Epoch: [58][13510/14090]	Time 0.763 (0.768)	Data 0.001 (0.001)	Loss 2.3955 (2.1662)	Prec@1 38.281 (45.216)	Prec@5 72.656 (75.832)
Epoch: [58][13520/14090]	Time 0.776 (0.768)	Data 0.001 (0.001)	Loss 2.1454 (2.1662)	Prec@1 44.531 (45.215)	Prec@5 80.469 (75.831)
Epoch: [58][13530/14090]	Time 0.861 (0.768)	Data 0.001 (0.001)	Loss 2.3014 (2.1662)	Prec@1 41.406 (45.215)	Prec@5 75.781 (75.832)
Epoch: [58][13540/14090]	Time 0.756 (0.768)	Data 0.001 (0.001)	Loss 2.2058 (2.1662)	Prec@1 41.406 (45.214)	Prec@5 72.656 (75.831)
Epoch: [58][13550/14090]	Time 0.775 (0.768)	Data 0.001 (0.001)	Loss 2.0975 (2.1662)	Prec@1 46.875 (45.215)	Prec@5 75.000 (75.831)
Epoch: [58][13560/14090]	Time 0.765 (0.768)	Data 0.001 (0.001)	Loss 1.9178 (2.1662)	Prec@1 50.781 (45.215)	Prec@5 78.125 (75.831)
Epoch: [58][13570/14090]	Time 0.741 (0.768)	Data 0.001 (0.001)	Loss 2.2374 (2.1662)	Prec@1 46.094 (45.215)	Prec@5 73.438 (75.831)
Epoch: [58][13580/14090]	Time 0.760 (0.768)	Data 0.001 (0.001)	Loss 2.1232 (2.1662)	Prec@1 43.750 (45.213)	Prec@5 75.000 (75.830)
Epoch: [58][13590/14090]	Time 0.744 (0.768)	Data 0.001 (0.001)	Loss 1.8846 (2.1662)	Prec@1 51.562 (45.213)	Prec@5 80.469 (75.829)
Epoch: [58][13600/14090]	Time 0.839 (0.768)	Data 0.001 (0.001)	Loss 2.0602 (2.1662)	Prec@1 49.219 (45.214)	Prec@5 78.125 (75.830)
Epoch: [58][13610/14090]	Time 0.784 (0.768)	Data 0.001 (0.001)	Loss 1.7717 (2.1662)	Prec@1 49.219 (45.214)	Prec@5 78.906 (75.830)
Epoch: [58][13620/14090]	Time 0.726 (0.768)	Data 0.002 (0.001)	Loss 2.2295 (2.1662)	Prec@1 44.531 (45.214)	Prec@5 75.781 (75.831)
Epoch: [58][13630/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 2.4707 (2.1662)	Prec@1 42.188 (45.213)	Prec@5 73.438 (75.830)
Epoch: [58][13640/14090]	Time 0.780 (0.768)	Data 0.001 (0.001)	Loss 2.3158 (2.1663)	Prec@1 46.094 (45.213)	Prec@5 68.750 (75.828)
Epoch: [58][13650/14090]	Time 0.722 (0.768)	Data 0.001 (0.001)	Loss 2.0962 (2.1663)	Prec@1 47.656 (45.214)	Prec@5 75.781 (75.829)
Epoch: [58][13660/14090]	Time 0.728 (0.768)	Data 0.001 (0.001)	Loss 2.0796 (2.1662)	Prec@1 49.219 (45.215)	Prec@5 76.562 (75.829)
Epoch: [58][13670/14090]	Time 0.880 (0.768)	Data 0.001 (0.001)	Loss 2.6185 (2.1663)	Prec@1 40.625 (45.214)	Prec@5 67.969 (75.828)
Epoch: [58][13680/14090]	Time 0.737 (0.768)	Data 0.001 (0.001)	Loss 2.0640 (2.1663)	Prec@1 46.094 (45.214)	Prec@5 77.344 (75.828)
Epoch: [58][13690/14090]	Time 0.763 (0.768)	Data 0.001 (0.001)	Loss 2.0419 (2.1662)	Prec@1 45.312 (45.214)	Prec@5 79.688 (75.829)
Epoch: [58][13700/14090]	Time 0.743 (0.768)	Data 0.001 (0.001)	Loss 1.9842 (2.1663)	Prec@1 48.438 (45.213)	Prec@5 75.781 (75.827)
Epoch: [58][13710/14090]	Time 0.783 (0.768)	Data 0.001 (0.001)	Loss 2.2560 (2.1663)	Prec@1 37.500 (45.212)	Prec@5 75.000 (75.828)
Epoch: [58][13720/14090]	Time 0.732 (0.768)	Data 0.001 (0.001)	Loss 1.9976 (2.1663)	Prec@1 44.531 (45.212)	Prec@5 78.906 (75.828)
Epoch: [58][13730/14090]	Time 0.758 (0.768)	Data 0.001 (0.001)	Loss 2.0040 (2.1663)	Prec@1 44.531 (45.211)	Prec@5 77.344 (75.827)
Epoch: [58][13740/14090]	Time 0.908 (0.768)	Data 0.001 (0.001)	Loss 1.9398 (2.1663)	Prec@1 48.438 (45.211)	Prec@5 82.031 (75.827)
Epoch: [58][13750/14090]	Time 0.774 (0.768)	Data 0.001 (0.001)	Loss 2.2729 (2.1663)	Prec@1 46.094 (45.211)	Prec@5 75.781 (75.829)
Epoch: [58][13760/14090]	Time 0.756 (0.768)	Data 0.001 (0.001)	Loss 2.0491 (2.1663)	Prec@1 50.781 (45.211)	Prec@5 78.125 (75.829)
Epoch: [58][13770/14090]	Time 0.806 (0.768)	Data 0.001 (0.001)	Loss 2.0626 (2.1663)	Prec@1 52.344 (45.211)	Prec@5 78.906 (75.828)
Epoch: [58][13780/14090]	Time 0.748 (0.768)	Data 0.001 (0.001)	Loss 2.3111 (2.1663)	Prec@1 40.625 (45.209)	Prec@5 74.219 (75.827)
Epoch: [58][13790/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 2.2864 (2.1664)	Prec@1 42.969 (45.210)	Prec@5 71.875 (75.827)
Epoch: [58][13800/14090]	Time 0.768 (0.768)	Data 0.001 (0.001)	Loss 2.1418 (2.1664)	Prec@1 47.656 (45.211)	Prec@5 79.688 (75.829)
Epoch: [58][13810/14090]	Time 0.878 (0.768)	Data 0.001 (0.001)	Loss 2.3894 (2.1664)	Prec@1 33.594 (45.209)	Prec@5 75.781 (75.828)
Epoch: [58][13820/14090]	Time 0.732 (0.768)	Data 0.001 (0.001)	Loss 2.1029 (2.1664)	Prec@1 40.625 (45.208)	Prec@5 78.906 (75.828)
Epoch: [58][13830/14090]	Time 0.775 (0.768)	Data 0.001 (0.001)	Loss 2.0281 (2.1664)	Prec@1 44.531 (45.209)	Prec@5 80.469 (75.829)
Epoch: [58][13840/14090]	Time 0.763 (0.768)	Data 0.001 (0.001)	Loss 2.1518 (2.1664)	Prec@1 41.406 (45.209)	Prec@5 74.219 (75.828)
Epoch: [58][13850/14090]	Time 0.734 (0.768)	Data 0.001 (0.001)	Loss 2.0571 (2.1664)	Prec@1 49.219 (45.209)	Prec@5 75.781 (75.826)
Epoch: [58][13860/14090]	Time 0.724 (0.768)	Data 0.001 (0.001)	Loss 2.0360 (2.1664)	Prec@1 49.219 (45.209)	Prec@5 78.906 (75.826)
Epoch: [58][13870/14090]	Time 0.747 (0.768)	Data 0.001 (0.001)	Loss 2.0815 (2.1664)	Prec@1 50.000 (45.208)	Prec@5 76.562 (75.825)
Epoch: [58][13880/14090]	Time 0.820 (0.768)	Data 0.001 (0.001)	Loss 2.5014 (2.1665)	Prec@1 42.969 (45.207)	Prec@5 74.219 (75.825)
Epoch: [58][13890/14090]	Time 0.767 (0.768)	Data 0.001 (0.001)	Loss 2.3065 (2.1665)	Prec@1 43.750 (45.206)	Prec@5 75.000 (75.825)
Epoch: [58][13900/14090]	Time 0.745 (0.768)	Data 0.002 (0.001)	Loss 2.0426 (2.1665)	Prec@1 47.656 (45.206)	Prec@5 79.688 (75.824)
Epoch: [58][13910/14090]	Time 0.764 (0.768)	Data 0.001 (0.001)	Loss 2.2211 (2.1666)	Prec@1 47.656 (45.205)	Prec@5 72.656 (75.824)
Epoch: [58][13920/14090]	Time 0.779 (0.768)	Data 0.001 (0.001)	Loss 1.9729 (2.1666)	Prec@1 54.688 (45.206)	Prec@5 79.688 (75.823)
Epoch: [58][13930/14090]	Time 0.758 (0.768)	Data 0.001 (0.001)	Loss 2.0247 (2.1666)	Prec@1 46.875 (45.206)	Prec@5 72.656 (75.822)
Epoch: [58][13940/14090]	Time 0.774 (0.768)	Data 0.001 (0.001)	Loss 2.3765 (2.1666)	Prec@1 37.500 (45.204)	Prec@5 71.094 (75.820)
Epoch: [58][13950/14090]	Time 0.858 (0.768)	Data 0.001 (0.001)	Loss 1.9971 (2.1666)	Prec@1 53.906 (45.204)	Prec@5 78.125 (75.821)
Epoch: [58][13960/14090]	Time 0.746 (0.768)	Data 0.001 (0.001)	Loss 2.2837 (2.1667)	Prec@1 42.969 (45.201)	Prec@5 70.312 (75.819)
Epoch: [58][13970/14090]	Time 0.750 (0.768)	Data 0.001 (0.001)	Loss 2.2205 (2.1667)	Prec@1 43.750 (45.200)	Prec@5 75.781 (75.819)
Epoch: [58][13980/14090]	Time 0.729 (0.768)	Data 0.003 (0.001)	Loss 2.1988 (2.1668)	Prec@1 48.438 (45.198)	Prec@5 75.781 (75.818)
Epoch: [58][13990/14090]	Time 0.782 (0.768)	Data 0.001 (0.001)	Loss 2.4368 (2.1668)	Prec@1 38.281 (45.197)	Prec@5 71.094 (75.818)
Epoch: [58][14000/14090]	Time 0.744 (0.768)	Data 0.001 (0.001)	Loss 2.1361 (2.1668)	Prec@1 43.750 (45.197)	Prec@5 76.562 (75.818)
Epoch: [58][14010/14090]	Time 0.777 (0.768)	Data 0.001 (0.001)	Loss 2.1417 (2.1669)	Prec@1 43.750 (45.194)	Prec@5 74.219 (75.817)
Epoch: [58][14020/14090]	Time 1.021 (0.768)	Data 0.001 (0.001)	Loss 2.0262 (2.1669)	Prec@1 46.875 (45.194)	Prec@5 77.344 (75.817)
Epoch: [58][14030/14090]	Time 0.773 (0.768)	Data 0.001 (0.001)	Loss 1.8917 (2.1669)	Prec@1 58.594 (45.195)	Prec@5 78.906 (75.816)
Epoch: [58][14040/14090]	Time 0.758 (0.768)	Data 0.001 (0.001)	Loss 1.9980 (2.1668)	Prec@1 45.312 (45.196)	Prec@5 78.125 (75.816)
Epoch: [58][14050/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 2.2936 (2.1669)	Prec@1 43.750 (45.195)	Prec@5 71.875 (75.814)
Epoch: [58][14060/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 1.8854 (2.1669)	Prec@1 46.094 (45.196)	Prec@5 82.031 (75.815)
Epoch: [58][14070/14090]	Time 0.756 (0.768)	Data 0.001 (0.001)	Loss 2.0748 (2.1669)	Prec@1 41.406 (45.196)	Prec@5 77.344 (75.816)
Epoch: [58][14080/14090]	Time 0.725 (0.768)	Data 0.000 (0.001)	Loss 2.1407 (2.1669)	Prec@1 51.562 (45.196)	Prec@5 75.000 (75.816)
Test: [0/286]	Time 5.348 (5.348)	Loss 1.6180 (1.6180)	Prec@1 46.875 (46.875)	Prec@5 92.188 (92.188)
Test: [10/286]	Time 0.240 (0.860)	Loss 1.9631 (1.9756)	Prec@1 49.219 (47.798)	Prec@5 84.375 (81.463)
Test: [20/286]	Time 0.238 (0.648)	Loss 1.3857 (1.9017)	Prec@1 64.844 (49.814)	Prec@5 89.844 (82.626)
Test: [30/286]	Time 0.228 (0.578)	Loss 2.1957 (1.7876)	Prec@1 39.844 (53.352)	Prec@5 77.344 (83.594)
Test: [40/286]	Time 1.880 (0.576)	Loss 1.3570 (1.7689)	Prec@1 59.375 (53.678)	Prec@5 90.625 (83.803)
Test: [50/286]	Time 0.230 (0.551)	Loss 0.6307 (1.8130)	Prec@1 85.156 (52.328)	Prec@5 93.750 (82.981)
Test: [60/286]	Time 0.259 (0.535)	Loss 2.5018 (1.8234)	Prec@1 42.969 (52.190)	Prec@5 69.531 (82.480)
Test: [70/286]	Time 0.228 (0.519)	Loss 1.3689 (1.7936)	Prec@1 64.844 (52.872)	Prec@5 90.625 (82.978)
Test: [80/286]	Time 1.753 (0.528)	Loss 1.9396 (1.8555)	Prec@1 46.094 (51.061)	Prec@5 80.469 (81.964)
Test: [90/286]	Time 0.253 (0.518)	Loss 1.5349 (1.8687)	Prec@1 53.906 (50.601)	Prec@5 89.062 (81.808)
Test: [100/286]	Time 0.234 (0.510)	Loss 2.8125 (1.8953)	Prec@1 20.312 (49.745)	Prec@5 67.969 (81.590)
Test: [110/286]	Time 0.291 (0.504)	Loss 2.3954 (1.9117)	Prec@1 40.625 (49.317)	Prec@5 75.000 (81.510)
Test: [120/286]	Time 1.634 (0.509)	Loss 1.8829 (1.8946)	Prec@1 52.344 (49.955)	Prec@5 74.219 (81.747)
Test: [130/286]	Time 0.240 (0.507)	Loss 0.9658 (1.8836)	Prec@1 71.875 (50.334)	Prec@5 94.531 (81.894)
Test: [140/286]	Time 0.296 (0.501)	Loss 2.2580 (1.8753)	Prec@1 46.875 (50.615)	Prec@5 76.562 (81.970)
Test: [150/286]	Time 0.229 (0.496)	Loss 3.2155 (1.8871)	Prec@1 23.438 (50.109)	Prec@5 64.844 (81.980)
Test: [160/286]	Time 2.005 (0.502)	Loss 2.6365 (1.8818)	Prec@1 28.125 (50.277)	Prec@5 70.312 (82.080)
Test: [170/286]	Time 0.280 (0.498)	Loss 2.3986 (1.8699)	Prec@1 33.594 (50.448)	Prec@5 75.000 (82.273)
Test: [180/286]	Time 0.232 (0.494)	Loss 1.6487 (1.8811)	Prec@1 63.281 (50.160)	Prec@5 82.812 (82.139)
Test: [190/286]	Time 0.300 (0.491)	Loss 3.3925 (1.8960)	Prec@1 10.156 (49.795)	Prec@5 59.375 (82.023)
Test: [200/286]	Time 1.905 (0.497)	Loss 2.1340 (1.8952)	Prec@1 45.312 (49.802)	Prec@5 85.938 (82.027)
Test: [210/286]	Time 0.288 (0.494)	Loss 1.9700 (1.9059)	Prec@1 42.188 (49.474)	Prec@5 85.156 (81.831)
Test: [220/286]	Time 0.245 (0.492)	Loss 2.9620 (1.9066)	Prec@1 22.656 (49.604)	Prec@5 64.062 (81.724)
Test: [230/286]	Time 0.253 (0.489)	Loss 1.1496 (1.9050)	Prec@1 67.969 (49.692)	Prec@5 92.188 (81.703)
Test: [240/286]	Time 1.983 (0.494)	Loss 2.1972 (1.9072)	Prec@1 42.969 (49.640)	Prec@5 75.781 (81.652)
Test: [250/286]	Time 0.254 (0.492)	Loss 2.1740 (1.8967)	Prec@1 38.281 (49.760)	Prec@5 75.000 (81.869)
Test: [260/286]	Time 0.251 (0.490)	Loss 1.7706 (1.8875)	Prec@1 53.125 (49.955)	Prec@5 85.938 (82.049)
Test: [270/286]	Time 0.305 (0.487)	Loss 1.7785 (1.8900)	Prec@1 60.938 (50.000)	Prec@5 85.156 (82.014)
Test: [280/286]	Time 2.122 (0.492)	Loss 1.5402 (1.8726)	Prec@1 64.844 (50.537)	Prec@5 89.844 (82.193)
 * Prec@1 50.654 Prec@5 82.208
Epoch: [59][0/14090]	Time 6.182 (6.182)	Data 5.393 (5.393)	Loss 2.4530 (2.4530)	Prec@1 41.406 (41.406)	Prec@5 72.656 (72.656)
Epoch: [59][10/14090]	Time 0.723 (1.229)	Data 0.001 (0.491)	Loss 2.1845 (2.1809)	Prec@1 40.625 (45.881)	Prec@5 75.781 (76.136)
Epoch: [59][20/14090]	Time 0.733 (1.004)	Data 0.001 (0.258)	Loss 2.1335 (2.2035)	Prec@1 46.875 (45.238)	Prec@5 74.219 (75.632)
Epoch: [59][30/14090]	Time 0.758 (0.921)	Data 0.001 (0.175)	Loss 2.2619 (2.1610)	Prec@1 44.531 (45.817)	Prec@5 75.781 (76.436)
Epoch: [59][40/14090]	Time 0.727 (0.889)	Data 0.001 (0.132)	Loss 2.2075 (2.1648)	Prec@1 44.531 (45.541)	Prec@5 73.438 (76.105)
Epoch: [59][50/14090]	Time 0.743 (0.862)	Data 0.001 (0.107)	Loss 2.0490 (2.1709)	Prec@1 53.125 (45.680)	Prec@5 75.000 (76.271)
Epoch: [59][60/14090]	Time 0.937 (0.848)	Data 0.001 (0.089)	Loss 2.1034 (2.1698)	Prec@1 46.094 (45.364)	Prec@5 76.562 (76.396)
Epoch: [59][70/14090]	Time 0.756 (0.836)	Data 0.001 (0.077)	Loss 2.0383 (2.1628)	Prec@1 51.562 (45.401)	Prec@5 80.469 (76.430)
Epoch: [59][80/14090]	Time 0.746 (0.825)	Data 0.001 (0.067)	Loss 2.3423 (2.1595)	Prec@1 44.531 (45.293)	Prec@5 69.531 (76.562)
Epoch: [59][90/14090]	Time 0.737 (0.820)	Data 0.001 (0.060)	Loss 2.2346 (2.1584)	Prec@1 46.094 (45.167)	Prec@5 75.781 (76.417)
Epoch: [59][100/14090]	Time 0.739 (0.814)	Data 0.001 (0.054)	Loss 2.0321 (2.1602)	Prec@1 51.562 (45.258)	Prec@5 77.344 (76.392)
Epoch: [59][110/14090]	Time 0.764 (0.810)	Data 0.001 (0.049)	Loss 2.1354 (2.1481)	Prec@1 46.094 (45.693)	Prec@5 75.781 (76.534)
Epoch: [59][120/14090]	Time 0.768 (0.807)	Data 0.001 (0.045)	Loss 2.1526 (2.1520)	Prec@1 40.625 (45.687)	Prec@5 78.125 (76.408)
Epoch: [59][130/14090]	Time 0.889 (0.804)	Data 0.001 (0.042)	Loss 2.3224 (2.1543)	Prec@1 42.969 (45.587)	Prec@5 73.438 (76.401)
Epoch: [59][140/14090]	Time 0.757 (0.800)	Data 0.001 (0.039)	Loss 2.0069 (2.1539)	Prec@1 49.219 (45.650)	Prec@5 78.906 (76.418)
Epoch: [59][150/14090]	Time 0.768 (0.798)	Data 0.001 (0.037)	Loss 2.1886 (2.1509)	Prec@1 46.094 (45.726)	Prec@5 76.562 (76.454)
Epoch: [59][160/14090]	Time 0.734 (0.796)	Data 0.001 (0.034)	Loss 1.9691 (2.1447)	Prec@1 46.094 (45.715)	Prec@5 84.375 (76.596)
Epoch: [59][170/14090]	Time 0.760 (0.794)	Data 0.001 (0.032)	Loss 1.9967 (2.1477)	Prec@1 46.875 (45.600)	Prec@5 80.469 (76.553)
Epoch: [59][180/14090]	Time 0.734 (0.793)	Data 0.001 (0.031)	Loss 2.3416 (2.1494)	Prec@1 39.062 (45.489)	Prec@5 73.438 (76.515)
Epoch: [59][190/14090]	Time 0.765 (0.792)	Data 0.001 (0.029)	Loss 2.3383 (2.1438)	Prec@1 39.844 (45.566)	Prec@5 75.000 (76.644)
Epoch: [59][200/14090]	Time 0.879 (0.791)	Data 0.001 (0.028)	Loss 2.2775 (2.1465)	Prec@1 42.188 (45.519)	Prec@5 76.562 (76.640)
Epoch: [59][210/14090]	Time 0.740 (0.790)	Data 0.001 (0.026)	Loss 2.1389 (2.1463)	Prec@1 44.531 (45.516)	Prec@5 78.125 (76.611)
Epoch: [59][220/14090]	Time 0.736 (0.789)	Data 0.001 (0.025)	Loss 2.1621 (2.1455)	Prec@1 49.219 (45.571)	Prec@5 75.000 (76.584)
Epoch: [59][230/14090]	Time 0.732 (0.788)	Data 0.001 (0.024)	Loss 2.2287 (2.1474)	Prec@1 38.281 (45.509)	Prec@5 73.438 (76.569)
Epoch: [59][240/14090]	Time 0.777 (0.787)	Data 0.001 (0.023)	Loss 2.1561 (2.1457)	Prec@1 47.656 (45.552)	Prec@5 77.344 (76.553)
Epoch: [59][250/14090]	Time 0.737 (0.787)	Data 0.001 (0.022)	Loss 2.4123 (2.1445)	Prec@1 42.969 (45.549)	Prec@5 70.312 (76.522)
Epoch: [59][260/14090]	Time 0.726 (0.786)	Data 0.001 (0.021)	Loss 2.1044 (2.1443)	Prec@1 46.875 (45.555)	Prec@5 79.688 (76.491)
Epoch: [59][270/14090]	Time 0.896 (0.786)	Data 0.001 (0.021)	Loss 2.2951 (2.1441)	Prec@1 43.750 (45.569)	Prec@5 73.438 (76.525)
Epoch: [59][280/14090]	Time 0.733 (0.785)	Data 0.001 (0.020)	Loss 2.2729 (2.1452)	Prec@1 42.188 (45.532)	Prec@5 75.000 (76.462)
Epoch: [59][290/14090]	Time 0.771 (0.784)	Data 0.001 (0.019)	Loss 2.0057 (2.1459)	Prec@1 47.656 (45.503)	Prec@5 80.469 (76.428)
Epoch: [59][300/14090]	Time 0.736 (0.784)	Data 0.001 (0.019)	Loss 2.3331 (2.1464)	Prec@1 41.406 (45.476)	Prec@5 75.781 (76.459)
Epoch: [59][310/14090]	Time 0.742 (0.783)	Data 0.001 (0.018)	Loss 2.2935 (2.1441)	Prec@1 38.281 (45.526)	Prec@5 75.000 (76.527)
Epoch: [59][320/14090]	Time 0.752 (0.783)	Data 0.001 (0.018)	Loss 2.2725 (2.1474)	Prec@1 41.406 (45.403)	Prec@5 70.312 (76.477)
Epoch: [59][330/14090]	Time 0.737 (0.782)	Data 0.001 (0.017)	Loss 2.1708 (2.1464)	Prec@1 46.875 (45.419)	Prec@5 75.781 (76.499)
Epoch: [59][340/14090]	Time 0.901 (0.782)	Data 0.001 (0.017)	Loss 2.1124 (2.1460)	Prec@1 47.656 (45.461)	Prec@5 78.906 (76.503)
Epoch: [59][350/14090]	Time 0.720 (0.782)	Data 0.001 (0.016)	Loss 1.8667 (2.1445)	Prec@1 49.219 (45.493)	Prec@5 85.938 (76.514)
Epoch: [59][360/14090]	Time 0.737 (0.781)	Data 0.001 (0.016)	Loss 1.8846 (2.1454)	Prec@1 45.312 (45.479)	Prec@5 83.594 (76.463)
Epoch: [59][370/14090]	Time 0.740 (0.781)	Data 0.001 (0.015)	Loss 2.3699 (2.1446)	Prec@1 43.750 (45.477)	Prec@5 70.312 (76.474)
Epoch: [59][380/14090]	Time 0.733 (0.781)	Data 0.001 (0.015)	Loss 2.0714 (2.1461)	Prec@1 46.094 (45.474)	Prec@5 75.000 (76.427)
Epoch: [59][390/14090]	Time 0.747 (0.780)	Data 0.001 (0.015)	Loss 2.4679 (2.1447)	Prec@1 42.188 (45.522)	Prec@5 69.531 (76.429)
Epoch: [59][400/14090]	Time 0.763 (0.780)	Data 0.001 (0.014)	Loss 2.0933 (2.1433)	Prec@1 43.750 (45.537)	Prec@5 75.000 (76.442)
Epoch: [59][410/14090]	Time 0.840 (0.780)	Data 0.002 (0.014)	Loss 2.0335 (2.1416)	Prec@1 48.438 (45.571)	Prec@5 74.219 (76.467)
Epoch: [59][420/14090]	Time 0.759 (0.780)	Data 0.001 (0.014)	Loss 2.0414 (2.1421)	Prec@1 43.750 (45.563)	Prec@5 76.562 (76.436)
Epoch: [59][430/14090]	Time 0.765 (0.779)	Data 0.001 (0.013)	Loss 2.0449 (2.1414)	Prec@1 47.656 (45.543)	Prec@5 75.781 (76.412)
Epoch: [59][440/14090]	Time 0.759 (0.779)	Data 0.001 (0.013)	Loss 2.3046 (2.1416)	Prec@1 39.062 (45.522)	Prec@5 72.656 (76.407)
Epoch: [59][450/14090]	Time 0.736 (0.779)	Data 0.001 (0.013)	Loss 1.9036 (2.1406)	Prec@1 50.781 (45.519)	Prec@5 82.812 (76.405)
Epoch: [59][460/14090]	Time 0.750 (0.779)	Data 0.001 (0.013)	Loss 1.9239 (2.1407)	Prec@1 50.781 (45.518)	Prec@5 81.250 (76.422)
Epoch: [59][470/14090]	Time 0.779 (0.779)	Data 0.001 (0.012)	Loss 2.2294 (2.1416)	Prec@1 42.969 (45.513)	Prec@5 73.438 (76.397)
Epoch: [59][480/14090]	Time 0.859 (0.779)	Data 0.001 (0.012)	Loss 2.1167 (2.1431)	Prec@1 46.094 (45.472)	Prec@5 78.125 (76.371)
Epoch: [59][490/14090]	Time 0.744 (0.778)	Data 0.001 (0.012)	Loss 2.0199 (2.1413)	Prec@1 46.094 (45.524)	Prec@5 82.812 (76.408)
Epoch: [59][500/14090]	Time 0.732 (0.778)	Data 0.001 (0.012)	Loss 2.1124 (2.1403)	Prec@1 44.531 (45.574)	Prec@5 75.781 (76.407)
Epoch: [59][510/14090]	Time 0.770 (0.778)	Data 0.001 (0.011)	Loss 2.4073 (2.1402)	Prec@1 39.062 (45.568)	Prec@5 70.312 (76.413)
Epoch: [59][520/14090]	Time 0.744 (0.778)	Data 0.001 (0.011)	Loss 2.2584 (2.1418)	Prec@1 43.750 (45.536)	Prec@5 73.438 (76.359)
Epoch: [59][530/14090]	Time 0.726 (0.778)	Data 0.001 (0.011)	Loss 2.0730 (2.1432)	Prec@1 45.312 (45.502)	Prec@5 78.906 (76.342)
Epoch: [59][540/14090]	Time 0.754 (0.778)	Data 0.001 (0.011)	Loss 2.0955 (2.1435)	Prec@1 45.312 (45.490)	Prec@5 75.781 (76.324)
Epoch: [59][550/14090]	Time 0.879 (0.777)	Data 0.001 (0.011)	Loss 2.0357 (2.1434)	Prec@1 46.094 (45.497)	Prec@5 75.781 (76.300)
Epoch: [59][560/14090]	Time 0.754 (0.777)	Data 0.001 (0.010)	Loss 2.4007 (2.1430)	Prec@1 39.062 (45.496)	Prec@5 65.625 (76.294)
Epoch: [59][570/14090]	Time 0.733 (0.777)	Data 0.001 (0.010)	Loss 1.9794 (2.1427)	Prec@1 50.000 (45.507)	Prec@5 79.688 (76.304)
Epoch: [59][580/14090]	Time 0.744 (0.777)	Data 0.001 (0.010)	Loss 2.0316 (2.1432)	Prec@1 49.219 (45.497)	Prec@5 79.688 (76.299)
Epoch: [59][590/14090]	Time 0.731 (0.777)	Data 0.001 (0.010)	Loss 1.9327 (2.1423)	Prec@1 50.781 (45.535)	Prec@5 81.250 (76.325)
Epoch: [59][600/14090]	Time 0.747 (0.777)	Data 0.001 (0.010)	Loss 2.1912 (2.1413)	Prec@1 46.094 (45.561)	Prec@5 76.562 (76.335)
Epoch: [59][610/14090]	Time 0.765 (0.776)	Data 0.001 (0.010)	Loss 2.0098 (2.1417)	Prec@1 49.219 (45.554)	Prec@5 78.125 (76.343)
Epoch: [59][620/14090]	Time 0.871 (0.776)	Data 0.001 (0.010)	Loss 1.9866 (2.1405)	Prec@1 49.219 (45.567)	Prec@5 77.344 (76.365)
Epoch: [59][630/14090]	Time 0.757 (0.776)	Data 0.001 (0.009)	Loss 2.1834 (2.1407)	Prec@1 49.219 (45.580)	Prec@5 74.219 (76.371)
Epoch: [59][640/14090]	Time 0.775 (0.776)	Data 0.001 (0.009)	Loss 2.3814 (2.1405)	Prec@1 35.938 (45.576)	Prec@5 73.438 (76.366)
Epoch: [59][650/14090]	Time 0.752 (0.776)	Data 0.001 (0.009)	Loss 2.3853 (2.1411)	Prec@1 42.969 (45.596)	Prec@5 72.656 (76.351)
Epoch: [59][660/14090]	Time 0.761 (0.776)	Data 0.001 (0.009)	Loss 2.0780 (2.1414)	Prec@1 44.531 (45.595)	Prec@5 83.594 (76.346)
Epoch: [59][670/14090]	Time 0.743 (0.776)	Data 0.001 (0.009)	Loss 2.1626 (2.1413)	Prec@1 46.094 (45.630)	Prec@5 74.219 (76.331)
Epoch: [59][680/14090]	Time 0.741 (0.776)	Data 0.001 (0.009)	Loss 2.0742 (2.1419)	Prec@1 51.562 (45.598)	Prec@5 77.344 (76.310)
Epoch: [59][690/14090]	Time 0.858 (0.776)	Data 0.001 (0.009)	Loss 2.1845 (2.1430)	Prec@1 50.000 (45.591)	Prec@5 69.531 (76.279)
Epoch: [59][700/14090]	Time 0.744 (0.775)	Data 0.001 (0.009)	Loss 1.9753 (2.1423)	Prec@1 50.781 (45.633)	Prec@5 79.688 (76.278)
Epoch: [59][710/14090]	Time 0.774 (0.775)	Data 0.001 (0.008)	Loss 1.9482 (2.1419)	Prec@1 48.438 (45.650)	Prec@5 79.688 (76.287)
Epoch: [59][720/14090]	Time 0.740 (0.775)	Data 0.001 (0.008)	Loss 2.0443 (2.1411)	Prec@1 51.562 (45.659)	Prec@5 79.688 (76.308)
Epoch: [59][730/14090]	Time 0.778 (0.775)	Data 0.001 (0.008)	Loss 2.0630 (2.1417)	Prec@1 43.750 (45.650)	Prec@5 78.125 (76.299)
Epoch: [59][740/14090]	Time 0.736 (0.775)	Data 0.001 (0.008)	Loss 2.2608 (2.1401)	Prec@1 46.875 (45.710)	Prec@5 75.781 (76.319)
Epoch: [59][750/14090]	Time 0.732 (0.775)	Data 0.001 (0.008)	Loss 2.0898 (2.1404)	Prec@1 36.719 (45.709)	Prec@5 80.469 (76.302)
Epoch: [59][760/14090]	Time 0.872 (0.775)	Data 0.001 (0.008)	Loss 1.8443 (2.1393)	Prec@1 48.438 (45.732)	Prec@5 80.469 (76.303)
Epoch: [59][770/14090]	Time 0.772 (0.775)	Data 0.001 (0.008)	Loss 1.9851 (2.1391)	Prec@1 45.312 (45.732)	Prec@5 80.469 (76.308)
Epoch: [59][780/14090]	Time 0.729 (0.775)	Data 0.001 (0.008)	Loss 2.5504 (2.1395)	Prec@1 40.625 (45.741)	Prec@5 69.531 (76.307)
Epoch: [59][790/14090]	Time 0.750 (0.775)	Data 0.001 (0.008)	Loss 1.7995 (2.1394)	Prec@1 53.906 (45.747)	Prec@5 80.469 (76.315)
Epoch: [59][800/14090]	Time 0.738 (0.775)	Data 0.001 (0.008)	Loss 2.1208 (2.1399)	Prec@1 47.656 (45.749)	Prec@5 75.781 (76.317)
Epoch: [59][810/14090]	Time 0.761 (0.775)	Data 0.001 (0.007)	Loss 2.1369 (2.1401)	Prec@1 46.875 (45.749)	Prec@5 74.219 (76.314)
Epoch: [59][820/14090]	Time 0.717 (0.775)	Data 0.001 (0.007)	Loss 2.1554 (2.1411)	Prec@1 41.406 (45.712)	Prec@5 72.656 (76.291)
Epoch: [59][830/14090]	Time 0.910 (0.775)	Data 0.001 (0.007)	Loss 2.0731 (2.1411)	Prec@1 43.750 (45.711)	Prec@5 76.562 (76.291)
Epoch: [59][840/14090]	Time 0.769 (0.775)	Data 0.001 (0.007)	Loss 1.8041 (2.1416)	Prec@1 49.219 (45.705)	Prec@5 82.031 (76.280)
Epoch: [59][850/14090]	Time 0.742 (0.775)	Data 0.001 (0.007)	Loss 2.1260 (2.1423)	Prec@1 46.094 (45.684)	Prec@5 76.562 (76.267)
Epoch: [59][860/14090]	Time 0.750 (0.775)	Data 0.001 (0.007)	Loss 1.9356 (2.1424)	Prec@1 49.219 (45.681)	Prec@5 82.812 (76.270)
Epoch: [59][870/14090]	Time 0.780 (0.774)	Data 0.001 (0.007)	Loss 2.0674 (2.1428)	Prec@1 42.969 (45.670)	Prec@5 78.906 (76.267)
Epoch: [59][880/14090]	Time 0.755 (0.774)	Data 0.001 (0.007)	Loss 2.3549 (2.1432)	Prec@1 43.750 (45.665)	Prec@5 75.000 (76.265)
Epoch: [59][890/14090]	Time 0.738 (0.774)	Data 0.001 (0.007)	Loss 2.0346 (2.1423)	Prec@1 43.750 (45.662)	Prec@5 80.469 (76.280)
Epoch: [59][900/14090]	Time 0.901 (0.774)	Data 0.001 (0.007)	Loss 2.3317 (2.1426)	Prec@1 38.281 (45.664)	Prec@5 72.656 (76.294)
Epoch: [59][910/14090]	Time 0.739 (0.774)	Data 0.001 (0.007)	Loss 2.2621 (2.1423)	Prec@1 38.281 (45.660)	Prec@5 71.875 (76.293)
Epoch: [59][920/14090]	Time 0.742 (0.774)	Data 0.001 (0.007)	Loss 2.2656 (2.1411)	Prec@1 45.312 (45.677)	Prec@5 75.000 (76.326)
Epoch: [59][930/14090]	Time 0.726 (0.774)	Data 0.001 (0.007)	Loss 1.7995 (2.1413)	Prec@1 54.688 (45.687)	Prec@5 83.594 (76.323)
Epoch: [59][940/14090]	Time 0.763 (0.774)	Data 0.001 (0.007)	Loss 2.1720 (2.1414)	Prec@1 37.500 (45.681)	Prec@5 76.562 (76.338)
Epoch: [59][950/14090]	Time 0.764 (0.774)	Data 0.001 (0.007)	Loss 2.1783 (2.1418)	Prec@1 44.531 (45.656)	Prec@5 78.125 (76.337)
Epoch: [59][960/14090]	Time 0.772 (0.774)	Data 0.001 (0.006)	Loss 2.2560 (2.1427)	Prec@1 43.750 (45.652)	Prec@5 71.875 (76.316)
Epoch: [59][970/14090]	Time 0.866 (0.774)	Data 0.001 (0.006)	Loss 2.2978 (2.1425)	Prec@1 36.719 (45.646)	Prec@5 74.219 (76.308)
Epoch: [59][980/14090]	Time 0.743 (0.774)	Data 0.001 (0.006)	Loss 2.1943 (2.1429)	Prec@1 38.281 (45.633)	Prec@5 76.562 (76.298)
Epoch: [59][990/14090]	Time 0.781 (0.774)	Data 0.001 (0.006)	Loss 2.0357 (2.1429)	Prec@1 43.750 (45.638)	Prec@5 76.562 (76.302)
Epoch: [59][1000/14090]	Time 0.747 (0.774)	Data 0.001 (0.006)	Loss 2.1546 (2.1432)	Prec@1 45.312 (45.634)	Prec@5 69.531 (76.289)
Epoch: [59][1010/14090]	Time 0.736 (0.774)	Data 0.001 (0.006)	Loss 2.1829 (2.1432)	Prec@1 46.094 (45.633)	Prec@5 73.438 (76.280)
Epoch: [59][1020/14090]	Time 0.751 (0.774)	Data 0.001 (0.006)	Loss 2.0605 (2.1431)	Prec@1 46.875 (45.632)	Prec@5 77.344 (76.263)
Epoch: [59][1030/14090]	Time 0.780 (0.774)	Data 0.001 (0.006)	Loss 2.0306 (2.1442)	Prec@1 51.562 (45.610)	Prec@5 78.125 (76.238)
Epoch: [59][1040/14090]	Time 0.876 (0.774)	Data 0.001 (0.006)	Loss 1.8251 (2.1440)	Prec@1 56.250 (45.606)	Prec@5 78.906 (76.238)
Epoch: [59][1050/14090]	Time 0.739 (0.774)	Data 0.001 (0.006)	Loss 1.9820 (2.1435)	Prec@1 50.781 (45.626)	Prec@5 80.469 (76.255)
Epoch: [59][1060/14090]	Time 0.737 (0.774)	Data 0.001 (0.006)	Loss 2.4638 (2.1443)	Prec@1 39.062 (45.603)	Prec@5 74.219 (76.258)
Epoch: [59][1070/14090]	Time 0.778 (0.774)	Data 0.001 (0.006)	Loss 2.1167 (2.1439)	Prec@1 46.875 (45.620)	Prec@5 77.344 (76.268)
Epoch: [59][1080/14090]	Time 0.735 (0.774)	Data 0.001 (0.006)	Loss 2.2857 (2.1441)	Prec@1 45.312 (45.604)	Prec@5 75.000 (76.260)
Epoch: [59][1090/14090]	Time 0.725 (0.774)	Data 0.001 (0.006)	Loss 2.1370 (2.1444)	Prec@1 49.219 (45.615)	Prec@5 76.562 (76.251)
Epoch: [59][1100/14090]	Time 0.806 (0.774)	Data 0.001 (0.006)	Loss 2.0545 (2.1443)	Prec@1 48.438 (45.614)	Prec@5 79.688 (76.260)
Epoch: [59][1110/14090]	Time 0.889 (0.774)	Data 0.001 (0.006)	Loss 2.1902 (2.1436)	Prec@1 51.562 (45.643)	Prec@5 75.000 (76.274)
Epoch: [59][1120/14090]	Time 0.768 (0.774)	Data 0.001 (0.006)	Loss 2.1591 (2.1440)	Prec@1 48.438 (45.646)	Prec@5 75.781 (76.266)
Epoch: [59][1130/14090]	Time 0.734 (0.774)	Data 0.001 (0.006)	Loss 2.1421 (2.1430)	Prec@1 44.531 (45.669)	Prec@5 75.000 (76.287)
Epoch: [59][1140/14090]	Time 0.744 (0.774)	Data 0.001 (0.006)	Loss 1.9619 (2.1426)	Prec@1 44.531 (45.666)	Prec@5 82.031 (76.292)
Epoch: [59][1150/14090]	Time 0.736 (0.774)	Data 0.001 (0.006)	Loss 1.9959 (2.1430)	Prec@1 49.219 (45.657)	Prec@5 75.781 (76.279)
Epoch: [59][1160/14090]	Time 0.743 (0.774)	Data 0.001 (0.005)	Loss 2.1595 (2.1423)	Prec@1 42.188 (45.664)	Prec@5 78.125 (76.285)
Epoch: [59][1170/14090]	Time 0.746 (0.774)	Data 0.001 (0.005)	Loss 2.0433 (2.1426)	Prec@1 46.094 (45.657)	Prec@5 76.562 (76.284)
Epoch: [59][1180/14090]	Time 0.888 (0.774)	Data 0.001 (0.005)	Loss 2.1648 (2.1429)	Prec@1 42.969 (45.660)	Prec@5 72.656 (76.274)
Epoch: [59][1190/14090]	Time 0.752 (0.774)	Data 0.001 (0.005)	Loss 2.0017 (2.1425)	Prec@1 50.781 (45.674)	Prec@5 79.688 (76.284)
Epoch: [59][1200/14090]	Time 0.746 (0.774)	Data 0.001 (0.005)	Loss 2.3969 (2.1429)	Prec@1 40.625 (45.673)	Prec@5 71.094 (76.264)
Epoch: [59][1210/14090]	Time 0.763 (0.774)	Data 0.001 (0.005)	Loss 2.0631 (2.1432)	Prec@1 52.344 (45.683)	Prec@5 77.344 (76.248)
Epoch: [59][1220/14090]	Time 0.739 (0.774)	Data 0.001 (0.005)	Loss 2.1098 (2.1434)	Prec@1 42.969 (45.677)	Prec@5 75.781 (76.244)
Epoch: [59][1230/14090]	Time 0.729 (0.774)	Data 0.001 (0.005)	Loss 2.0416 (2.1433)	Prec@1 50.781 (45.687)	Prec@5 75.781 (76.243)
Epoch: [59][1240/14090]	Time 0.744 (0.773)	Data 0.001 (0.005)	Loss 2.1055 (2.1434)	Prec@1 53.125 (45.687)	Prec@5 78.125 (76.236)
Epoch: [59][1250/14090]	Time 0.921 (0.774)	Data 0.001 (0.005)	Loss 2.1011 (2.1438)	Prec@1 46.875 (45.675)	Prec@5 73.438 (76.222)
Epoch: [59][1260/14090]	Time 0.759 (0.774)	Data 0.001 (0.005)	Loss 1.9820 (2.1435)	Prec@1 49.219 (45.683)	Prec@5 78.125 (76.227)
Epoch: [59][1270/14090]	Time 0.735 (0.773)	Data 0.001 (0.005)	Loss 2.0209 (2.1434)	Prec@1 45.312 (45.681)	Prec@5 76.562 (76.225)
Epoch: [59][1280/14090]	Time 0.759 (0.773)	Data 0.001 (0.005)	Loss 2.0337 (2.1436)	Prec@1 51.562 (45.683)	Prec@5 79.688 (76.212)
Epoch: [59][1290/14090]	Time 0.735 (0.773)	Data 0.001 (0.005)	Loss 2.3048 (2.1435)	Prec@1 42.969 (45.691)	Prec@5 70.312 (76.209)
Epoch: [59][1300/14090]	Time 0.760 (0.773)	Data 0.001 (0.005)	Loss 2.4540 (2.1435)	Prec@1 44.531 (45.695)	Prec@5 75.000 (76.211)
Epoch: [59][1310/14090]	Time 0.750 (0.773)	Data 0.001 (0.005)	Loss 2.2268 (2.1435)	Prec@1 43.750 (45.689)	Prec@5 71.875 (76.220)
Epoch: [59][1320/14090]	Time 0.887 (0.773)	Data 0.001 (0.005)	Loss 2.3976 (2.1439)	Prec@1 39.844 (45.688)	Prec@5 69.531 (76.216)
Epoch: [59][1330/14090]	Time 0.749 (0.773)	Data 0.001 (0.005)	Loss 2.1229 (2.1447)	Prec@1 41.406 (45.670)	Prec@5 78.125 (76.200)
Epoch: [59][1340/14090]	Time 0.740 (0.773)	Data 0.001 (0.005)	Loss 2.3047 (2.1448)	Prec@1 38.281 (45.654)	Prec@5 70.312 (76.201)
Epoch: [59][1350/14090]	Time 0.778 (0.773)	Data 0.001 (0.005)	Loss 1.8141 (2.1436)	Prec@1 50.000 (45.679)	Prec@5 82.812 (76.223)
Epoch: [59][1360/14090]	Time 0.783 (0.773)	Data 0.001 (0.005)	Loss 2.0659 (2.1439)	Prec@1 51.562 (45.676)	Prec@5 78.125 (76.223)
Epoch: [59][1370/14090]	Time 0.740 (0.773)	Data 0.001 (0.005)	Loss 2.3292 (2.1442)	Prec@1 38.281 (45.661)	Prec@5 71.875 (76.222)
Epoch: [59][1380/14090]	Time 0.763 (0.773)	Data 0.001 (0.005)	Loss 2.6413 (2.1447)	Prec@1 35.938 (45.654)	Prec@5 67.188 (76.214)
Epoch: [59][1390/14090]	Time 0.853 (0.773)	Data 0.001 (0.005)	Loss 2.2744 (2.1443)	Prec@1 40.625 (45.665)	Prec@5 73.438 (76.218)
Epoch: [59][1400/14090]	Time 0.740 (0.773)	Data 0.001 (0.005)	Loss 2.0284 (2.1438)	Prec@1 45.312 (45.668)	Prec@5 78.125 (76.233)
Epoch: [59][1410/14090]	Time 0.748 (0.773)	Data 0.001 (0.005)	Loss 2.3684 (2.1444)	Prec@1 45.312 (45.653)	Prec@5 71.094 (76.225)
Epoch: [59][1420/14090]	Time 0.773 (0.773)	Data 0.001 (0.005)	Loss 1.9358 (2.1444)	Prec@1 47.656 (45.665)	Prec@5 78.906 (76.222)
Epoch: [59][1430/14090]	Time 0.762 (0.773)	Data 0.001 (0.005)	Loss 2.1034 (2.1446)	Prec@1 43.750 (45.656)	Prec@5 77.344 (76.216)
Epoch: [59][1440/14090]	Time 0.780 (0.773)	Data 0.001 (0.005)	Loss 2.0056 (2.1447)	Prec@1 48.438 (45.658)	Prec@5 80.469 (76.218)
Epoch: [59][1450/14090]	Time 0.741 (0.773)	Data 0.001 (0.005)	Loss 2.2593 (2.1451)	Prec@1 40.625 (45.660)	Prec@5 66.406 (76.210)
Epoch: [59][1460/14090]	Time 0.859 (0.773)	Data 0.001 (0.005)	Loss 2.0288 (2.1447)	Prec@1 46.875 (45.661)	Prec@5 81.250 (76.215)
Epoch: [59][1470/14090]	Time 0.743 (0.773)	Data 0.001 (0.005)	Loss 2.1963 (2.1446)	Prec@1 43.750 (45.660)	Prec@5 73.438 (76.218)
Epoch: [59][1480/14090]	Time 0.778 (0.773)	Data 0.002 (0.004)	Loss 1.8175 (2.1441)	Prec@1 57.031 (45.657)	Prec@5 85.938 (76.229)
Epoch: [59][1490/14090]	Time 0.777 (0.773)	Data 0.001 (0.004)	Loss 1.9517 (2.1442)	Prec@1 53.125 (45.667)	Prec@5 77.344 (76.219)
Epoch: [59][1500/14090]	Time 0.758 (0.773)	Data 0.001 (0.004)	Loss 1.9253 (2.1439)	Prec@1 51.562 (45.683)	Prec@5 78.906 (76.224)
Epoch: [59][1510/14090]	Time 0.737 (0.773)	Data 0.001 (0.004)	Loss 1.9651 (2.1442)	Prec@1 46.875 (45.675)	Prec@5 76.562 (76.216)
Epoch: [59][1520/14090]	Time 0.742 (0.773)	Data 0.001 (0.004)	Loss 2.0082 (2.1446)	Prec@1 44.531 (45.668)	Prec@5 81.250 (76.216)
Epoch: [59][1530/14090]	Time 0.845 (0.773)	Data 0.001 (0.004)	Loss 2.1746 (2.1442)	Prec@1 50.781 (45.680)	Prec@5 71.875 (76.225)
Epoch: [59][1540/14090]	Time 0.739 (0.773)	Data 0.001 (0.004)	Loss 2.1400 (2.1443)	Prec@1 44.531 (45.669)	Prec@5 76.562 (76.222)
Epoch: [59][1550/14090]	Time 0.741 (0.773)	Data 0.001 (0.004)	Loss 2.3243 (2.1446)	Prec@1 45.312 (45.665)	Prec@5 71.875 (76.215)
Epoch: [59][1560/14090]	Time 0.750 (0.773)	Data 0.001 (0.004)	Loss 2.3728 (2.1455)	Prec@1 39.844 (45.642)	Prec@5 65.625 (76.200)
Epoch: [59][1570/14090]	Time 0.771 (0.773)	Data 0.001 (0.004)	Loss 2.2665 (2.1451)	Prec@1 44.531 (45.643)	Prec@5 71.094 (76.203)
Epoch: [59][1580/14090]	Time 0.763 (0.773)	Data 0.001 (0.004)	Loss 2.0865 (2.1446)	Prec@1 46.094 (45.657)	Prec@5 73.438 (76.205)
Epoch: [59][1590/14090]	Time 0.751 (0.773)	Data 0.001 (0.004)	Loss 2.2624 (2.1447)	Prec@1 42.188 (45.652)	Prec@5 75.000 (76.204)
Epoch: [59][1600/14090]	Time 0.948 (0.773)	Data 0.001 (0.004)	Loss 2.4752 (2.1451)	Prec@1 38.281 (45.646)	Prec@5 71.875 (76.195)
Epoch: [59][1610/14090]	Time 0.769 (0.773)	Data 0.001 (0.004)	Loss 2.2181 (2.1451)	Prec@1 46.094 (45.646)	Prec@5 74.219 (76.201)
Epoch: [59][1620/14090]	Time 0.726 (0.772)	Data 0.001 (0.004)	Loss 2.1969 (2.1451)	Prec@1 39.844 (45.640)	Prec@5 76.562 (76.199)
Epoch: [59][1630/14090]	Time 0.748 (0.772)	Data 0.001 (0.004)	Loss 2.2365 (2.1453)	Prec@1 42.188 (45.632)	Prec@5 74.219 (76.197)
Epoch: [59][1640/14090]	Time 0.740 (0.772)	Data 0.001 (0.004)	Loss 2.1849 (2.1456)	Prec@1 44.531 (45.632)	Prec@5 75.781 (76.193)
Epoch: [59][1650/14090]	Time 0.729 (0.772)	Data 0.001 (0.004)	Loss 2.0876 (2.1454)	Prec@1 46.094 (45.641)	Prec@5 77.344 (76.203)
Epoch: [59][1660/14090]	Time 0.755 (0.772)	Data 0.001 (0.004)	Loss 2.1821 (2.1452)	Prec@1 37.500 (45.647)	Prec@5 77.344 (76.204)
Epoch: [59][1670/14090]	Time 0.862 (0.772)	Data 0.001 (0.004)	Loss 2.4576 (2.1453)	Prec@1 41.406 (45.649)	Prec@5 67.969 (76.197)
Epoch: [59][1680/14090]	Time 0.749 (0.772)	Data 0.001 (0.004)	Loss 2.0238 (2.1452)	Prec@1 46.875 (45.655)	Prec@5 78.125 (76.198)
Epoch: [59][1690/14090]	Time 0.748 (0.772)	Data 0.001 (0.004)	Loss 1.8902 (2.1449)	Prec@1 48.438 (45.654)	Prec@5 82.031 (76.204)
Epoch: [59][1700/14090]	Time 0.748 (0.772)	Data 0.001 (0.004)	Loss 2.1411 (2.1447)	Prec@1 46.875 (45.660)	Prec@5 75.000 (76.207)
Epoch: [59][1710/14090]	Time 0.783 (0.772)	Data 0.001 (0.004)	Loss 2.2470 (2.1454)	Prec@1 44.531 (45.645)	Prec@5 71.875 (76.197)
Epoch: [59][1720/14090]	Time 0.752 (0.772)	Data 0.001 (0.004)	Loss 1.9382 (2.1453)	Prec@1 48.438 (45.642)	Prec@5 77.344 (76.197)
Epoch: [59][1730/14090]	Time 0.743 (0.772)	Data 0.001 (0.004)	Loss 2.4291 (2.1456)	Prec@1 42.969 (45.636)	Prec@5 69.531 (76.199)
Epoch: [59][1740/14090]	Time 0.862 (0.772)	Data 0.001 (0.004)	Loss 2.4540 (2.1456)	Prec@1 42.188 (45.641)	Prec@5 71.094 (76.201)
Epoch: [59][1750/14090]	Time 0.765 (0.772)	Data 0.001 (0.004)	Loss 2.2446 (2.1459)	Prec@1 44.531 (45.639)	Prec@5 75.781 (76.197)
Epoch: [59][1760/14090]	Time 0.745 (0.772)	Data 0.001 (0.004)	Loss 2.1710 (2.1457)	Prec@1 44.531 (45.646)	Prec@5 75.000 (76.193)
Epoch: [59][1770/14090]	Time 0.747 (0.772)	Data 0.001 (0.004)	Loss 2.1927 (2.1457)	Prec@1 39.844 (45.646)	Prec@5 73.438 (76.190)
Epoch: [59][1780/14090]	Time 0.738 (0.772)	Data 0.001 (0.004)	Loss 2.3661 (2.1452)	Prec@1 39.062 (45.661)	Prec@5 75.000 (76.198)
Epoch: [59][1790/14090]	Time 0.723 (0.772)	Data 0.001 (0.004)	Loss 2.2894 (2.1455)	Prec@1 44.531 (45.654)	Prec@5 68.750 (76.190)
Epoch: [59][1800/14090]	Time 0.752 (0.772)	Data 0.001 (0.004)	Loss 1.9201 (2.1453)	Prec@1 48.438 (45.649)	Prec@5 81.250 (76.189)
Epoch: [59][1810/14090]	Time 0.870 (0.772)	Data 0.001 (0.004)	Loss 2.0312 (2.1454)	Prec@1 47.656 (45.646)	Prec@5 76.562 (76.186)
Epoch: [59][1820/14090]	Time 0.762 (0.772)	Data 0.001 (0.004)	Loss 2.2364 (2.1454)	Prec@1 42.969 (45.649)	Prec@5 71.875 (76.182)
Epoch: [59][1830/14090]	Time 0.778 (0.772)	Data 0.001 (0.004)	Loss 2.1474 (2.1452)	Prec@1 46.094 (45.660)	Prec@5 77.344 (76.183)
Epoch: [59][1840/14090]	Time 0.752 (0.772)	Data 0.001 (0.004)	Loss 2.2449 (2.1451)	Prec@1 42.969 (45.658)	Prec@5 73.438 (76.178)
Epoch: [59][1850/14090]	Time 0.741 (0.772)	Data 0.001 (0.004)	Loss 2.1246 (2.1453)	Prec@1 45.312 (45.657)	Prec@5 75.781 (76.173)
Epoch: [59][1860/14090]	Time 0.748 (0.772)	Data 0.001 (0.004)	Loss 2.2984 (2.1454)	Prec@1 46.094 (45.659)	Prec@5 74.219 (76.167)
Epoch: [59][1870/14090]	Time 0.764 (0.772)	Data 0.001 (0.004)	Loss 2.0773 (2.1456)	Prec@1 48.438 (45.657)	Prec@5 82.031 (76.175)
Epoch: [59][1880/14090]	Time 0.906 (0.772)	Data 0.001 (0.004)	Loss 2.3411 (2.1459)	Prec@1 38.281 (45.652)	Prec@5 71.875 (76.170)
Epoch: [59][1890/14090]	Time 0.763 (0.772)	Data 0.001 (0.004)	Loss 2.1290 (2.1456)	Prec@1 46.094 (45.650)	Prec@5 74.219 (76.179)
Epoch: [59][1900/14090]	Time 0.739 (0.772)	Data 0.001 (0.004)	Loss 1.7749 (2.1454)	Prec@1 57.812 (45.663)	Prec@5 86.719 (76.182)
Epoch: [59][1910/14090]	Time 0.769 (0.772)	Data 0.001 (0.004)	Loss 2.2355 (2.1458)	Prec@1 39.062 (45.661)	Prec@5 73.438 (76.167)
Epoch: [59][1920/14090]	Time 0.750 (0.772)	Data 0.001 (0.004)	Loss 1.9439 (2.1456)	Prec@1 53.125 (45.666)	Prec@5 79.688 (76.167)
Epoch: [59][1930/14090]	Time 0.756 (0.772)	Data 0.001 (0.004)	Loss 2.3971 (2.1457)	Prec@1 39.062 (45.666)	Prec@5 73.438 (76.160)
Epoch: [59][1940/14090]	Time 0.764 (0.772)	Data 0.001 (0.004)	Loss 2.0185 (2.1454)	Prec@1 50.000 (45.664)	Prec@5 78.125 (76.173)
Epoch: [59][1950/14090]	Time 0.881 (0.772)	Data 0.001 (0.004)	Loss 2.2660 (2.1454)	Prec@1 42.188 (45.667)	Prec@5 74.219 (76.175)
Epoch: [59][1960/14090]	Time 0.763 (0.772)	Data 0.001 (0.004)	Loss 2.2384 (2.1456)	Prec@1 40.625 (45.659)	Prec@5 73.438 (76.170)
Epoch: [59][1970/14090]	Time 0.767 (0.772)	Data 0.001 (0.004)	Loss 2.0463 (2.1452)	Prec@1 45.312 (45.666)	Prec@5 75.781 (76.176)
Epoch: [59][1980/14090]	Time 0.761 (0.772)	Data 0.001 (0.004)	Loss 2.0210 (2.1448)	Prec@1 49.219 (45.679)	Prec@5 77.344 (76.189)
Epoch: [59][1990/14090]	Time 0.767 (0.772)	Data 0.001 (0.004)	Loss 2.2001 (2.1450)	Prec@1 42.969 (45.663)	Prec@5 73.438 (76.189)
Epoch: [59][2000/14090]	Time 0.758 (0.772)	Data 0.001 (0.004)	Loss 2.2411 (2.1454)	Prec@1 46.875 (45.653)	Prec@5 71.875 (76.178)
Epoch: [59][2010/14090]	Time 0.732 (0.772)	Data 0.001 (0.004)	Loss 2.1201 (2.1459)	Prec@1 50.781 (45.649)	Prec@5 76.562 (76.176)
Epoch: [59][2020/14090]	Time 0.860 (0.772)	Data 0.001 (0.004)	Loss 2.2698 (2.1461)	Prec@1 48.438 (45.640)	Prec@5 76.562 (76.174)
Epoch: [59][2030/14090]	Time 0.732 (0.772)	Data 0.001 (0.004)	Loss 1.8934 (2.1463)	Prec@1 51.562 (45.637)	Prec@5 81.250 (76.172)
Epoch: [59][2040/14090]	Time 0.734 (0.772)	Data 0.001 (0.003)	Loss 2.0630 (2.1461)	Prec@1 53.125 (45.650)	Prec@5 73.438 (76.166)
Epoch: [59][2050/14090]	Time 0.774 (0.772)	Data 0.001 (0.003)	Loss 2.2588 (2.1464)	Prec@1 46.875 (45.645)	Prec@5 67.969 (76.159)
Epoch: [59][2060/14090]	Time 0.734 (0.772)	Data 0.001 (0.003)	Loss 2.0850 (2.1469)	Prec@1 47.656 (45.638)	Prec@5 78.906 (76.155)
Epoch: [59][2070/14090]	Time 0.727 (0.772)	Data 0.001 (0.003)	Loss 2.3562 (2.1474)	Prec@1 42.188 (45.628)	Prec@5 71.875 (76.141)
Epoch: [59][2080/14090]	Time 0.759 (0.772)	Data 0.001 (0.003)	Loss 1.9754 (2.1472)	Prec@1 49.219 (45.633)	Prec@5 78.125 (76.142)
Epoch: [59][2090/14090]	Time 0.882 (0.772)	Data 0.001 (0.003)	Loss 2.1043 (2.1474)	Prec@1 43.750 (45.632)	Prec@5 77.344 (76.138)
Epoch: [59][2100/14090]	Time 0.740 (0.772)	Data 0.001 (0.003)	Loss 2.1573 (2.1478)	Prec@1 45.312 (45.632)	Prec@5 78.906 (76.136)
Epoch: [59][2110/14090]	Time 0.741 (0.771)	Data 0.001 (0.003)	Loss 2.1200 (2.1483)	Prec@1 50.781 (45.629)	Prec@5 72.656 (76.123)
Epoch: [59][2120/14090]	Time 0.774 (0.771)	Data 0.002 (0.003)	Loss 1.9033 (2.1482)	Prec@1 50.000 (45.637)	Prec@5 83.594 (76.119)
Epoch: [59][2130/14090]	Time 0.776 (0.772)	Data 0.001 (0.003)	Loss 2.3022 (2.1482)	Prec@1 42.969 (45.638)	Prec@5 75.000 (76.117)
Epoch: [59][2140/14090]	Time 0.761 (0.772)	Data 0.001 (0.003)	Loss 2.2333 (2.1484)	Prec@1 45.312 (45.629)	Prec@5 75.000 (76.113)
Epoch: [59][2150/14090]	Time 0.749 (0.772)	Data 0.001 (0.003)	Loss 2.1492 (2.1483)	Prec@1 43.750 (45.637)	Prec@5 71.875 (76.116)
Epoch: [59][2160/14090]	Time 0.875 (0.772)	Data 0.001 (0.003)	Loss 2.4004 (2.1487)	Prec@1 39.844 (45.636)	Prec@5 73.438 (76.114)
Epoch: [59][2170/14090]	Time 0.739 (0.771)	Data 0.001 (0.003)	Loss 2.1441 (2.1489)	Prec@1 39.844 (45.628)	Prec@5 76.562 (76.113)
Epoch: [59][2180/14090]	Time 0.761 (0.771)	Data 0.001 (0.003)	Loss 2.2351 (2.1491)	Prec@1 47.656 (45.626)	Prec@5 73.438 (76.106)
Epoch: [59][2190/14090]	Time 0.724 (0.772)	Data 0.001 (0.003)	Loss 1.9305 (2.1488)	Prec@1 47.656 (45.623)	Prec@5 82.031 (76.106)
Epoch: [59][2200/14090]	Time 0.746 (0.771)	Data 0.001 (0.003)	Loss 1.9263 (2.1490)	Prec@1 50.000 (45.617)	Prec@5 80.469 (76.103)
Epoch: [59][2210/14090]	Time 0.742 (0.771)	Data 0.001 (0.003)	Loss 2.0556 (2.1489)	Prec@1 53.906 (45.623)	Prec@5 73.438 (76.103)
Epoch: [59][2220/14090]	Time 0.730 (0.771)	Data 0.001 (0.003)	Loss 2.4458 (2.1489)	Prec@1 37.500 (45.621)	Prec@5 72.656 (76.100)
Epoch: [59][2230/14090]	Time 0.878 (0.771)	Data 0.001 (0.003)	Loss 2.2707 (2.1486)	Prec@1 41.406 (45.632)	Prec@5 75.000 (76.107)
Epoch: [59][2240/14090]	Time 0.736 (0.771)	Data 0.001 (0.003)	Loss 2.1123 (2.1488)	Prec@1 41.406 (45.628)	Prec@5 76.562 (76.100)
Epoch: [59][2250/14090]	Time 0.735 (0.771)	Data 0.001 (0.003)	Loss 2.0910 (2.1492)	Prec@1 50.781 (45.628)	Prec@5 78.125 (76.100)
Epoch: [59][2260/14090]	Time 0.771 (0.771)	Data 0.001 (0.003)	Loss 2.3543 (2.1492)	Prec@1 38.281 (45.626)	Prec@5 73.438 (76.101)
Epoch: [59][2270/14090]	Time 0.729 (0.771)	Data 0.001 (0.003)	Loss 2.2979 (2.1495)	Prec@1 39.844 (45.620)	Prec@5 72.656 (76.092)
Epoch: [59][2280/14090]	Time 0.751 (0.771)	Data 0.001 (0.003)	Loss 2.1523 (2.1493)	Prec@1 47.656 (45.623)	Prec@5 75.000 (76.090)
Epoch: [59][2290/14090]	Time 0.750 (0.771)	Data 0.001 (0.003)	Loss 1.9417 (2.1492)	Prec@1 50.000 (45.626)	Prec@5 82.812 (76.096)
Epoch: [59][2300/14090]	Time 0.875 (0.771)	Data 0.001 (0.003)	Loss 2.2407 (2.1498)	Prec@1 42.188 (45.615)	Prec@5 73.438 (76.088)
Epoch: [59][2310/14090]	Time 0.782 (0.771)	Data 0.001 (0.003)	Loss 2.0200 (2.1498)	Prec@1 46.094 (45.619)	Prec@5 79.688 (76.094)
Epoch: [59][2320/14090]	Time 0.749 (0.771)	Data 0.001 (0.003)	Loss 2.1388 (2.1499)	Prec@1 46.875 (45.614)	Prec@5 76.562 (76.087)
Epoch: [59][2330/14090]	Time 0.787 (0.771)	Data 0.001 (0.003)	Loss 2.1918 (2.1501)	Prec@1 46.875 (45.611)	Prec@5 71.094 (76.078)
Epoch: [59][2340/14090]	Time 0.765 (0.771)	Data 0.001 (0.003)	Loss 2.3910 (2.1501)	Prec@1 41.406 (45.607)	Prec@5 70.312 (76.082)
Epoch: [59][2350/14090]	Time 0.764 (0.771)	Data 0.001 (0.003)	Loss 2.1832 (2.1500)	Prec@1 43.750 (45.606)	Prec@5 78.125 (76.085)
Epoch: [59][2360/14090]	Time 0.784 (0.771)	Data 0.001 (0.003)	Loss 2.0778 (2.1497)	Prec@1 48.438 (45.614)	Prec@5 75.000 (76.088)
Epoch: [59][2370/14090]	Time 0.866 (0.771)	Data 0.001 (0.003)	Loss 1.9110 (2.1493)	Prec@1 52.344 (45.621)	Prec@5 82.812 (76.100)
Epoch: [59][2380/14090]	Time 0.738 (0.771)	Data 0.001 (0.003)	Loss 2.0066 (2.1493)	Prec@1 50.000 (45.616)	Prec@5 82.031 (76.102)
Epoch: [59][2390/14090]	Time 0.741 (0.771)	Data 0.001 (0.003)	Loss 2.1255 (2.1494)	Prec@1 48.438 (45.617)	Prec@5 75.000 (76.096)
Epoch: [59][2400/14090]	Time 0.760 (0.771)	Data 0.001 (0.003)	Loss 2.3135 (2.1495)	Prec@1 41.406 (45.613)	Prec@5 72.656 (76.091)
Epoch: [59][2410/14090]	Time 0.739 (0.771)	Data 0.001 (0.003)	Loss 2.1084 (2.1496)	Prec@1 42.969 (45.606)	Prec@5 73.438 (76.088)
Epoch: [59][2420/14090]	Time 0.760 (0.771)	Data 0.001 (0.003)	Loss 2.1614 (2.1499)	Prec@1 49.219 (45.601)	Prec@5 75.000 (76.078)
Epoch: [59][2430/14090]	Time 0.753 (0.771)	Data 0.001 (0.003)	Loss 1.8792 (2.1494)	Prec@1 52.344 (45.617)	Prec@5 82.812 (76.088)
Epoch: [59][2440/14090]	Time 0.874 (0.771)	Data 0.001 (0.003)	Loss 2.2659 (2.1497)	Prec@1 39.844 (45.611)	Prec@5 72.656 (76.087)
Epoch: [59][2450/14090]	Time 0.748 (0.771)	Data 0.001 (0.003)	Loss 2.2342 (2.1498)	Prec@1 45.312 (45.609)	Prec@5 71.875 (76.084)
Epoch: [59][2460/14090]	Time 0.750 (0.771)	Data 0.001 (0.003)	Loss 2.2395 (2.1498)	Prec@1 39.062 (45.606)	Prec@5 75.000 (76.083)
Epoch: [59][2470/14090]	Time 0.758 (0.771)	Data 0.001 (0.003)	Loss 2.1725 (2.1496)	Prec@1 42.188 (45.602)	Prec@5 71.875 (76.081)
Epoch: [59][2480/14090]	Time 0.748 (0.771)	Data 0.003 (0.003)	Loss 2.0134 (2.1496)	Prec@1 50.000 (45.596)	Prec@5 78.125 (76.081)
Epoch: [59][2490/14090]	Time 0.741 (0.771)	Data 0.001 (0.003)	Loss 2.2655 (2.1494)	Prec@1 46.094 (45.604)	Prec@5 72.656 (76.084)
Epoch: [59][2500/14090]	Time 0.741 (0.771)	Data 0.001 (0.003)	Loss 2.2654 (2.1494)	Prec@1 38.281 (45.596)	Prec@5 75.000 (76.082)
Epoch: [59][2510/14090]	Time 0.889 (0.771)	Data 0.001 (0.003)	Loss 2.0267 (2.1496)	Prec@1 52.344 (45.594)	Prec@5 82.031 (76.079)
Epoch: [59][2520/14090]	Time 0.734 (0.771)	Data 0.001 (0.003)	Loss 1.9537 (2.1493)	Prec@1 53.125 (45.603)	Prec@5 77.344 (76.081)
Epoch: [59][2530/14090]	Time 0.755 (0.771)	Data 0.001 (0.003)	Loss 2.3700 (2.1493)	Prec@1 43.750 (45.605)	Prec@5 73.438 (76.080)
Epoch: [59][2540/14090]	Time 0.752 (0.771)	Data 0.001 (0.003)	Loss 2.3370 (2.1497)	Prec@1 39.844 (45.592)	Prec@5 72.656 (76.073)
Epoch: [59][2550/14090]	Time 0.749 (0.771)	Data 0.001 (0.003)	Loss 2.1261 (2.1497)	Prec@1 52.344 (45.591)	Prec@5 75.781 (76.075)
Epoch: [59][2560/14090]	Time 0.761 (0.771)	Data 0.001 (0.003)	Loss 2.3125 (2.1500)	Prec@1 44.531 (45.586)	Prec@5 73.438 (76.068)
Epoch: [59][2570/14090]	Time 0.739 (0.771)	Data 0.001 (0.003)	Loss 1.8571 (2.1502)	Prec@1 56.250 (45.582)	Prec@5 83.594 (76.063)
Epoch: [59][2580/14090]	Time 0.823 (0.771)	Data 0.001 (0.003)	Loss 1.9818 (2.1504)	Prec@1 47.656 (45.580)	Prec@5 79.688 (76.057)
Epoch: [59][2590/14090]	Time 0.737 (0.771)	Data 0.001 (0.003)	Loss 1.8648 (2.1503)	Prec@1 53.125 (45.581)	Prec@5 82.031 (76.060)
Epoch: [59][2600/14090]	Time 0.747 (0.771)	Data 0.001 (0.003)	Loss 2.0786 (2.1503)	Prec@1 48.438 (45.580)	Prec@5 80.469 (76.058)
Epoch: [59][2610/14090]	Time 0.743 (0.771)	Data 0.001 (0.003)	Loss 2.5717 (2.1504)	Prec@1 41.406 (45.583)	Prec@5 70.312 (76.061)
Epoch: [59][2620/14090]	Time 0.741 (0.771)	Data 0.001 (0.003)	Loss 2.5007 (2.1505)	Prec@1 40.625 (45.589)	Prec@5 68.750 (76.057)
Epoch: [59][2630/14090]	Time 0.761 (0.771)	Data 0.001 (0.003)	Loss 2.3883 (2.1505)	Prec@1 45.312 (45.586)	Prec@5 73.438 (76.056)
Epoch: [59][2640/14090]	Time 0.767 (0.771)	Data 0.001 (0.003)	Loss 2.0619 (2.1507)	Prec@1 48.438 (45.585)	Prec@5 75.781 (76.051)
Epoch: [59][2650/14090]	Time 0.875 (0.771)	Data 0.001 (0.003)	Loss 2.1942 (2.1507)	Prec@1 43.750 (45.587)	Prec@5 72.656 (76.053)
Epoch: [59][2660/14090]	Time 0.732 (0.771)	Data 0.001 (0.003)	Loss 2.1234 (2.1507)	Prec@1 42.188 (45.588)	Prec@5 81.250 (76.057)
Epoch: [59][2670/14090]	Time 0.738 (0.771)	Data 0.001 (0.003)	Loss 2.3843 (2.1506)	Prec@1 41.406 (45.583)	Prec@5 72.656 (76.062)
Epoch: [59][2680/14090]	Time 0.766 (0.771)	Data 0.001 (0.003)	Loss 2.3104 (2.1505)	Prec@1 37.500 (45.591)	Prec@5 71.094 (76.064)
Epoch: [59][2690/14090]	Time 0.752 (0.771)	Data 0.001 (0.003)	Loss 2.2996 (2.1506)	Prec@1 42.969 (45.596)	Prec@5 72.656 (76.060)
Epoch: [59][2700/14090]	Time 0.751 (0.771)	Data 0.001 (0.003)	Loss 2.1812 (2.1506)	Prec@1 48.438 (45.595)	Prec@5 73.438 (76.058)
Epoch: [59][2710/14090]	Time 0.735 (0.771)	Data 0.001 (0.003)	Loss 2.3547 (2.1509)	Prec@1 36.719 (45.589)	Prec@5 71.094 (76.053)
Epoch: [59][2720/14090]	Time 0.856 (0.771)	Data 0.001 (0.003)	Loss 2.2075 (2.1509)	Prec@1 41.406 (45.587)	Prec@5 74.219 (76.051)
Epoch: [59][2730/14090]	Time 0.755 (0.771)	Data 0.001 (0.003)	Loss 2.0238 (2.1509)	Prec@1 46.094 (45.581)	Prec@5 77.344 (76.052)
Epoch: [59][2740/14090]	Time 0.752 (0.771)	Data 0.001 (0.003)	Loss 2.3417 (2.1512)	Prec@1 41.406 (45.579)	Prec@5 68.750 (76.043)
Epoch: [59][2750/14090]	Time 0.768 (0.771)	Data 0.001 (0.003)	Loss 2.1001 (2.1513)	Prec@1 42.969 (45.574)	Prec@5 77.344 (76.043)
Epoch: [59][2760/14090]	Time 0.784 (0.771)	Data 0.001 (0.003)	Loss 2.2641 (2.1518)	Prec@1 42.969 (45.562)	Prec@5 77.344 (76.034)
Epoch: [59][2770/14090]	Time 0.761 (0.771)	Data 0.001 (0.003)	Loss 1.9504 (2.1519)	Prec@1 52.344 (45.560)	Prec@5 81.250 (76.032)
Epoch: [59][2780/14090]	Time 0.730 (0.771)	Data 0.001 (0.003)	Loss 2.0985 (2.1516)	Prec@1 46.094 (45.568)	Prec@5 77.344 (76.039)
Epoch: [59][2790/14090]	Time 0.893 (0.771)	Data 0.001 (0.003)	Loss 1.9187 (2.1513)	Prec@1 50.000 (45.575)	Prec@5 78.906 (76.044)
Epoch: [59][2800/14090]	Time 0.746 (0.771)	Data 0.001 (0.003)	Loss 2.2308 (2.1519)	Prec@1 45.312 (45.563)	Prec@5 71.875 (76.027)
Epoch: [59][2810/14090]	Time 0.752 (0.771)	Data 0.001 (0.003)	Loss 2.2642 (2.1518)	Prec@1 45.312 (45.565)	Prec@5 77.344 (76.030)
Epoch: [59][2820/14090]	Time 0.730 (0.771)	Data 0.001 (0.003)	Loss 2.1927 (2.1515)	Prec@1 46.875 (45.571)	Prec@5 73.438 (76.036)
Epoch: [59][2830/14090]	Time 0.736 (0.771)	Data 0.001 (0.003)	Loss 2.1519 (2.1515)	Prec@1 42.969 (45.574)	Prec@5 76.562 (76.037)
Epoch: [59][2840/14090]	Time 0.732 (0.771)	Data 0.001 (0.003)	Loss 2.3847 (2.1521)	Prec@1 44.531 (45.560)	Prec@5 71.094 (76.026)
Epoch: [59][2850/14090]	Time 0.756 (0.771)	Data 0.001 (0.003)	Loss 1.8760 (2.1521)	Prec@1 49.219 (45.556)	Prec@5 78.125 (76.025)
Epoch: [59][2860/14090]	Time 0.877 (0.771)	Data 0.001 (0.003)	Loss 2.1867 (2.1520)	Prec@1 47.656 (45.559)	Prec@5 76.562 (76.027)
Epoch: [59][2870/14090]	Time 0.751 (0.771)	Data 0.001 (0.003)	Loss 1.9455 (2.1520)	Prec@1 47.656 (45.561)	Prec@5 85.156 (76.031)
Epoch: [59][2880/14090]	Time 0.762 (0.770)	Data 0.001 (0.003)	Loss 2.5056 (2.1525)	Prec@1 36.719 (45.554)	Prec@5 75.781 (76.024)
Epoch: [59][2890/14090]	Time 0.760 (0.771)	Data 0.001 (0.003)	Loss 2.4169 (2.1527)	Prec@1 43.750 (45.549)	Prec@5 71.094 (76.022)
Epoch: [59][2900/14090]	Time 0.784 (0.770)	Data 0.001 (0.003)	Loss 2.1138 (2.1527)	Prec@1 45.312 (45.544)	Prec@5 78.125 (76.021)
Epoch: [59][2910/14090]	Time 0.757 (0.771)	Data 0.002 (0.003)	Loss 2.1040 (2.1525)	Prec@1 42.969 (45.536)	Prec@5 75.000 (76.025)
Epoch: [59][2920/14090]	Time 0.736 (0.770)	Data 0.001 (0.003)	Loss 2.3514 (2.1528)	Prec@1 43.750 (45.532)	Prec@5 71.094 (76.022)
Epoch: [59][2930/14090]	Time 0.885 (0.770)	Data 0.001 (0.003)	Loss 1.9017 (2.1526)	Prec@1 44.531 (45.535)	Prec@5 80.469 (76.026)
Epoch: [59][2940/14090]	Time 0.759 (0.770)	Data 0.001 (0.003)	Loss 2.1382 (2.1526)	Prec@1 46.875 (45.540)	Prec@5 77.344 (76.030)
Epoch: [59][2950/14090]	Time 0.773 (0.770)	Data 0.001 (0.003)	Loss 2.5056 (2.1527)	Prec@1 41.406 (45.542)	Prec@5 68.750 (76.025)
Epoch: [59][2960/14090]	Time 0.743 (0.770)	Data 0.001 (0.003)	Loss 2.2326 (2.1528)	Prec@1 42.188 (45.543)	Prec@5 71.094 (76.021)
Epoch: [59][2970/14090]	Time 0.762 (0.770)	Data 0.001 (0.003)	Loss 2.1412 (2.1528)	Prec@1 43.750 (45.534)	Prec@5 78.125 (76.020)
Epoch: [59][2980/14090]	Time 0.735 (0.770)	Data 0.001 (0.003)	Loss 2.1680 (2.1530)	Prec@1 46.875 (45.531)	Prec@5 77.344 (76.019)
Epoch: [59][2990/14090]	Time 0.780 (0.770)	Data 0.001 (0.003)	Loss 2.0266 (2.1530)	Prec@1 42.188 (45.526)	Prec@5 78.125 (76.021)
Epoch: [59][3000/14090]	Time 0.941 (0.771)	Data 0.001 (0.003)	Loss 1.9856 (2.1530)	Prec@1 52.344 (45.529)	Prec@5 75.781 (76.017)
Epoch: [59][3010/14090]	Time 0.728 (0.770)	Data 0.001 (0.003)	Loss 2.0172 (2.1532)	Prec@1 50.781 (45.529)	Prec@5 78.125 (76.019)
Epoch: [59][3020/14090]	Time 0.730 (0.770)	Data 0.001 (0.003)	Loss 2.0848 (2.1532)	Prec@1 46.094 (45.529)	Prec@5 74.219 (76.018)
Epoch: [59][3030/14090]	Time 0.763 (0.770)	Data 0.001 (0.003)	Loss 2.1971 (2.1532)	Prec@1 45.312 (45.532)	Prec@5 73.438 (76.019)
Epoch: [59][3040/14090]	Time 0.739 (0.770)	Data 0.001 (0.003)	Loss 2.6808 (2.1537)	Prec@1 35.938 (45.526)	Prec@5 65.625 (76.013)
Epoch: [59][3050/14090]	Time 0.749 (0.770)	Data 0.001 (0.003)	Loss 2.0175 (2.1538)	Prec@1 46.875 (45.527)	Prec@5 80.469 (76.013)
Epoch: [59][3060/14090]	Time 0.776 (0.770)	Data 0.001 (0.003)	Loss 2.1624 (2.1540)	Prec@1 42.969 (45.519)	Prec@5 78.125 (76.011)
Epoch: [59][3070/14090]	Time 0.939 (0.770)	Data 0.001 (0.003)	Loss 2.1018 (2.1543)	Prec@1 47.656 (45.508)	Prec@5 78.125 (76.009)
Epoch: [59][3080/14090]	Time 0.736 (0.770)	Data 0.002 (0.003)	Loss 2.2567 (2.1542)	Prec@1 39.062 (45.505)	Prec@5 71.875 (76.013)
Epoch: [59][3090/14090]	Time 0.731 (0.770)	Data 0.001 (0.003)	Loss 2.2957 (2.1541)	Prec@1 38.281 (45.509)	Prec@5 75.781 (76.012)
Epoch: [59][3100/14090]	Time 0.758 (0.770)	Data 0.001 (0.003)	Loss 2.4808 (2.1544)	Prec@1 39.062 (45.503)	Prec@5 69.531 (76.004)
Epoch: [59][3110/14090]	Time 0.761 (0.770)	Data 0.001 (0.003)	Loss 2.1823 (2.1545)	Prec@1 42.188 (45.500)	Prec@5 76.562 (76.003)
Epoch: [59][3120/14090]	Time 0.758 (0.770)	Data 0.001 (0.003)	Loss 2.5568 (2.1546)	Prec@1 38.281 (45.497)	Prec@5 71.875 (76.008)
Epoch: [59][3130/14090]	Time 0.735 (0.770)	Data 0.001 (0.003)	Loss 2.4520 (2.1546)	Prec@1 43.750 (45.497)	Prec@5 69.531 (76.001)
Epoch: [59][3140/14090]	Time 0.873 (0.770)	Data 0.001 (0.003)	Loss 2.2117 (2.1550)	Prec@1 45.312 (45.494)	Prec@5 75.781 (75.994)
Epoch: [59][3150/14090]	Time 0.735 (0.770)	Data 0.001 (0.003)	Loss 2.1674 (2.1552)	Prec@1 46.094 (45.490)	Prec@5 75.000 (75.986)
Epoch: [59][3160/14090]	Time 0.739 (0.770)	Data 0.001 (0.003)	Loss 2.1985 (2.1552)	Prec@1 45.312 (45.494)	Prec@5 75.000 (75.982)
Epoch: [59][3170/14090]	Time 0.780 (0.770)	Data 0.001 (0.003)	Loss 1.9273 (2.1553)	Prec@1 53.125 (45.491)	Prec@5 78.906 (75.980)
Epoch: [59][3180/14090]	Time 0.725 (0.770)	Data 0.001 (0.003)	Loss 2.2515 (2.1556)	Prec@1 46.094 (45.488)	Prec@5 76.562 (75.978)
Epoch: [59][3190/14090]	Time 0.733 (0.770)	Data 0.001 (0.003)	Loss 2.1169 (2.1553)	Prec@1 46.094 (45.497)	Prec@5 78.906 (75.982)
Epoch: [59][3200/14090]	Time 0.778 (0.770)	Data 0.001 (0.003)	Loss 1.8791 (2.1556)	Prec@1 51.562 (45.498)	Prec@5 79.688 (75.975)
Epoch: [59][3210/14090]	Time 0.830 (0.770)	Data 0.001 (0.003)	Loss 1.9624 (2.1555)	Prec@1 48.438 (45.497)	Prec@5 79.688 (75.975)
Epoch: [59][3220/14090]	Time 0.735 (0.770)	Data 0.001 (0.003)	Loss 2.1381 (2.1554)	Prec@1 43.750 (45.494)	Prec@5 75.000 (75.972)
Epoch: [59][3230/14090]	Time 0.762 (0.770)	Data 0.001 (0.003)	Loss 2.3605 (2.1554)	Prec@1 38.281 (45.495)	Prec@5 74.219 (75.973)
Epoch: [59][3240/14090]	Time 0.741 (0.770)	Data 0.001 (0.003)	Loss 2.1485 (2.1553)	Prec@1 45.312 (45.499)	Prec@5 75.781 (75.976)
Epoch: [59][3250/14090]	Time 0.744 (0.770)	Data 0.001 (0.003)	Loss 2.5728 (2.1557)	Prec@1 39.062 (45.489)	Prec@5 69.531 (75.972)
Epoch: [59][3260/14090]	Time 0.760 (0.770)	Data 0.001 (0.003)	Loss 2.2546 (2.1557)	Prec@1 42.188 (45.492)	Prec@5 75.781 (75.974)
Epoch: [59][3270/14090]	Time 0.771 (0.770)	Data 0.001 (0.003)	Loss 2.2864 (2.1557)	Prec@1 39.844 (45.490)	Prec@5 75.000 (75.978)
Epoch: [59][3280/14090]	Time 0.811 (0.770)	Data 0.001 (0.003)	Loss 2.1107 (2.1558)	Prec@1 46.094 (45.487)	Prec@5 72.656 (75.971)
Epoch: [59][3290/14090]	Time 0.752 (0.770)	Data 0.001 (0.003)	Loss 1.8846 (2.1559)	Prec@1 59.375 (45.487)	Prec@5 77.344 (75.968)
Epoch: [59][3300/14090]	Time 0.747 (0.770)	Data 0.001 (0.002)	Loss 2.1079 (2.1558)	Prec@1 47.656 (45.488)	Prec@5 74.219 (75.972)
Epoch: [59][3310/14090]	Time 0.755 (0.770)	Data 0.001 (0.002)	Loss 2.3992 (2.1560)	Prec@1 39.844 (45.487)	Prec@5 71.094 (75.969)
Epoch: [59][3320/14090]	Time 0.775 (0.770)	Data 0.001 (0.002)	Loss 2.2185 (2.1560)	Prec@1 47.656 (45.485)	Prec@5 72.656 (75.970)
Epoch: [59][3330/14090]	Time 0.735 (0.770)	Data 0.001 (0.002)	Loss 2.1464 (2.1561)	Prec@1 41.406 (45.479)	Prec@5 76.562 (75.966)
Epoch: [59][3340/14090]	Time 0.729 (0.770)	Data 0.001 (0.002)	Loss 2.0677 (2.1561)	Prec@1 43.750 (45.476)	Prec@5 75.781 (75.968)
Epoch: [59][3350/14090]	Time 0.891 (0.770)	Data 0.001 (0.002)	Loss 2.3040 (2.1562)	Prec@1 46.875 (45.473)	Prec@5 72.656 (75.968)
Epoch: [59][3360/14090]	Time 0.769 (0.770)	Data 0.001 (0.002)	Loss 2.0001 (2.1560)	Prec@1 46.094 (45.477)	Prec@5 77.344 (75.968)
Epoch: [59][3370/14090]	Time 0.744 (0.770)	Data 0.001 (0.002)	Loss 2.1077 (2.1560)	Prec@1 50.000 (45.479)	Prec@5 74.219 (75.971)
Epoch: [59][3380/14090]	Time 0.767 (0.770)	Data 0.001 (0.002)	Loss 2.0875 (2.1561)	Prec@1 43.750 (45.479)	Prec@5 78.125 (75.969)
Epoch: [59][3390/14090]	Time 0.742 (0.770)	Data 0.001 (0.002)	Loss 2.1711 (2.1560)	Prec@1 41.406 (45.482)	Prec@5 77.344 (75.971)
Epoch: [59][3400/14090]	Time 0.734 (0.770)	Data 0.001 (0.002)	Loss 2.2541 (2.1559)	Prec@1 45.312 (45.479)	Prec@5 72.656 (75.968)
Epoch: [59][3410/14090]	Time 0.737 (0.770)	Data 0.001 (0.002)	Loss 2.1496 (2.1557)	Prec@1 42.969 (45.488)	Prec@5 73.438 (75.970)
Epoch: [59][3420/14090]	Time 0.862 (0.770)	Data 0.001 (0.002)	Loss 1.8604 (2.1555)	Prec@1 53.125 (45.489)	Prec@5 83.594 (75.976)
Epoch: [59][3430/14090]	Time 0.754 (0.770)	Data 0.001 (0.002)	Loss 2.2643 (2.1557)	Prec@1 44.531 (45.486)	Prec@5 75.781 (75.975)
Epoch: [59][3440/14090]	Time 0.752 (0.770)	Data 0.001 (0.002)	Loss 2.3658 (2.1557)	Prec@1 37.500 (45.484)	Prec@5 67.969 (75.975)
Epoch: [59][3450/14090]	Time 0.784 (0.770)	Data 0.001 (0.002)	Loss 2.3527 (2.1560)	Prec@1 42.188 (45.478)	Prec@5 71.094 (75.967)
Epoch: [59][3460/14090]	Time 0.729 (0.770)	Data 0.001 (0.002)	Loss 2.5734 (2.1563)	Prec@1 39.844 (45.474)	Prec@5 68.750 (75.964)
Epoch: [59][3470/14090]	Time 0.763 (0.770)	Data 0.001 (0.002)	Loss 2.4082 (2.1564)	Prec@1 37.500 (45.471)	Prec@5 73.438 (75.959)
Epoch: [59][3480/14090]	Time 0.734 (0.770)	Data 0.001 (0.002)	Loss 2.0361 (2.1564)	Prec@1 53.906 (45.472)	Prec@5 75.000 (75.954)
Epoch: [59][3490/14090]	Time 0.873 (0.770)	Data 0.001 (0.002)	Loss 1.9413 (2.1564)	Prec@1 53.125 (45.476)	Prec@5 78.125 (75.954)
Epoch: [59][3500/14090]	Time 0.733 (0.770)	Data 0.001 (0.002)	Loss 2.1547 (2.1563)	Prec@1 42.969 (45.482)	Prec@5 80.469 (75.955)
Epoch: [59][3510/14090]	Time 0.732 (0.770)	Data 0.001 (0.002)	Loss 2.1630 (2.1563)	Prec@1 45.312 (45.484)	Prec@5 73.438 (75.954)
Epoch: [59][3520/14090]	Time 0.749 (0.770)	Data 0.001 (0.002)	Loss 2.3407 (2.1562)	Prec@1 44.531 (45.486)	Prec@5 77.344 (75.955)
Epoch: [59][3530/14090]	Time 0.782 (0.770)	Data 0.001 (0.002)	Loss 2.3121 (2.1562)	Prec@1 44.531 (45.484)	Prec@5 73.438 (75.957)
Epoch: [59][3540/14090]	Time 0.756 (0.770)	Data 0.001 (0.002)	Loss 2.2484 (2.1563)	Prec@1 42.188 (45.480)	Prec@5 71.094 (75.952)
Epoch: [59][3550/14090]	Time 0.781 (0.770)	Data 0.001 (0.002)	Loss 2.3785 (2.1565)	Prec@1 40.625 (45.477)	Prec@5 70.312 (75.949)
Epoch: [59][3560/14090]	Time 0.873 (0.770)	Data 0.001 (0.002)	Loss 2.2232 (2.1563)	Prec@1 43.750 (45.481)	Prec@5 71.875 (75.949)
Epoch: [59][3570/14090]	Time 0.730 (0.770)	Data 0.001 (0.002)	Loss 2.3795 (2.1564)	Prec@1 40.625 (45.482)	Prec@5 71.875 (75.950)
Epoch: [59][3580/14090]	Time 0.774 (0.770)	Data 0.001 (0.002)	Loss 2.1299 (2.1564)	Prec@1 39.844 (45.480)	Prec@5 76.562 (75.952)
Epoch: [59][3590/14090]	Time 0.789 (0.770)	Data 0.001 (0.002)	Loss 2.2706 (2.1565)	Prec@1 42.969 (45.476)	Prec@5 76.562 (75.951)
Epoch: [59][3600/14090]	Time 0.733 (0.770)	Data 0.001 (0.002)	Loss 2.0120 (2.1562)	Prec@1 46.875 (45.484)	Prec@5 78.125 (75.952)
Epoch: [59][3610/14090]	Time 0.764 (0.770)	Data 0.001 (0.002)	Loss 2.2356 (2.1561)	Prec@1 39.844 (45.487)	Prec@5 72.656 (75.956)
Epoch: [59][3620/14090]	Time 0.728 (0.770)	Data 0.001 (0.002)	Loss 1.9395 (2.1558)	Prec@1 46.094 (45.490)	Prec@5 77.344 (75.962)
Epoch: [59][3630/14090]	Time 0.862 (0.770)	Data 0.001 (0.002)	Loss 1.9786 (2.1559)	Prec@1 47.656 (45.489)	Prec@5 82.031 (75.960)
Epoch: [59][3640/14090]	Time 0.748 (0.770)	Data 0.001 (0.002)	Loss 2.1891 (2.1560)	Prec@1 46.094 (45.488)	Prec@5 72.656 (75.961)
Epoch: [59][3650/14090]	Time 0.729 (0.770)	Data 0.001 (0.002)	Loss 2.0630 (2.1562)	Prec@1 46.875 (45.484)	Prec@5 78.125 (75.955)
Epoch: [59][3660/14090]	Time 0.731 (0.770)	Data 0.001 (0.002)	Loss 2.1011 (2.1561)	Prec@1 46.094 (45.485)	Prec@5 74.219 (75.958)
Epoch: [59][3670/14090]	Time 0.777 (0.770)	Data 0.001 (0.002)	Loss 2.2598 (2.1561)	Prec@1 43.750 (45.488)	Prec@5 76.562 (75.957)
Epoch: [59][3680/14090]	Time 0.742 (0.770)	Data 0.001 (0.002)	Loss 2.1457 (2.1562)	Prec@1 48.438 (45.490)	Prec@5 71.094 (75.952)
Epoch: [59][3690/14090]	Time 0.741 (0.770)	Data 0.001 (0.002)	Loss 2.1433 (2.1563)	Prec@1 42.969 (45.489)	Prec@5 71.875 (75.950)
Epoch: [59][3700/14090]	Time 0.841 (0.770)	Data 0.001 (0.002)	Loss 2.3500 (2.1563)	Prec@1 40.625 (45.485)	Prec@5 73.438 (75.952)
Epoch: [59][3710/14090]	Time 0.783 (0.770)	Data 0.001 (0.002)	Loss 1.9066 (2.1562)	Prec@1 49.219 (45.481)	Prec@5 78.125 (75.952)
Epoch: [59][3720/14090]	Time 0.756 (0.770)	Data 0.001 (0.002)	Loss 2.0414 (2.1562)	Prec@1 51.562 (45.485)	Prec@5 78.906 (75.953)
Epoch: [59][3730/14090]	Time 0.767 (0.770)	Data 0.001 (0.002)	Loss 2.1859 (2.1563)	Prec@1 50.000 (45.482)	Prec@5 73.438 (75.947)
Epoch: [59][3740/14090]	Time 0.755 (0.770)	Data 0.001 (0.002)	Loss 1.9499 (2.1562)	Prec@1 46.875 (45.479)	Prec@5 78.906 (75.950)
Epoch: [59][3750/14090]	Time 0.736 (0.770)	Data 0.001 (0.002)	Loss 2.2770 (2.1562)	Prec@1 42.188 (45.477)	Prec@5 75.000 (75.951)
Epoch: [59][3760/14090]	Time 0.740 (0.770)	Data 0.001 (0.002)	Loss 1.9636 (2.1562)	Prec@1 49.219 (45.475)	Prec@5 77.344 (75.953)
Epoch: [59][3770/14090]	Time 0.849 (0.770)	Data 0.001 (0.002)	Loss 2.1031 (2.1562)	Prec@1 41.406 (45.476)	Prec@5 75.781 (75.954)
Epoch: [59][3780/14090]	Time 0.742 (0.770)	Data 0.001 (0.002)	Loss 1.9215 (2.1562)	Prec@1 49.219 (45.479)	Prec@5 82.812 (75.956)
Epoch: [59][3790/14090]	Time 0.754 (0.770)	Data 0.001 (0.002)	Loss 2.4962 (2.1561)	Prec@1 39.062 (45.478)	Prec@5 72.656 (75.956)
Epoch: [59][3800/14090]	Time 0.756 (0.770)	Data 0.001 (0.002)	Loss 2.3682 (2.1565)	Prec@1 38.281 (45.472)	Prec@5 70.312 (75.949)
Epoch: [59][3810/14090]	Time 0.780 (0.770)	Data 0.001 (0.002)	Loss 2.0059 (2.1562)	Prec@1 47.656 (45.473)	Prec@5 78.125 (75.952)
Epoch: [59][3820/14090]	Time 0.739 (0.770)	Data 0.001 (0.002)	Loss 1.9713 (2.1564)	Prec@1 51.562 (45.468)	Prec@5 76.562 (75.947)
Epoch: [59][3830/14090]	Time 0.781 (0.770)	Data 0.001 (0.002)	Loss 1.9997 (2.1562)	Prec@1 52.344 (45.475)	Prec@5 76.562 (75.953)
Epoch: [59][3840/14090]	Time 0.877 (0.770)	Data 0.001 (0.002)	Loss 2.1008 (2.1559)	Prec@1 43.750 (45.481)	Prec@5 78.906 (75.958)
Epoch: [59][3850/14090]	Time 0.742 (0.770)	Data 0.001 (0.002)	Loss 2.0622 (2.1559)	Prec@1 46.875 (45.484)	Prec@5 77.344 (75.958)
Epoch: [59][3860/14090]	Time 0.746 (0.770)	Data 0.001 (0.002)	Loss 2.1638 (2.1558)	Prec@1 50.781 (45.490)	Prec@5 75.781 (75.960)
Epoch: [59][3870/14090]	Time 0.751 (0.770)	Data 0.001 (0.002)	Loss 1.9471 (2.1559)	Prec@1 50.781 (45.486)	Prec@5 82.812 (75.964)
Epoch: [59][3880/14090]	Time 0.753 (0.770)	Data 0.001 (0.002)	Loss 2.4213 (2.1560)	Prec@1 37.500 (45.482)	Prec@5 73.438 (75.961)
Epoch: [59][3890/14090]	Time 0.746 (0.770)	Data 0.001 (0.002)	Loss 2.3631 (2.1560)	Prec@1 47.656 (45.483)	Prec@5 74.219 (75.964)
Epoch: [59][3900/14090]	Time 0.745 (0.770)	Data 0.001 (0.002)	Loss 2.1937 (2.1561)	Prec@1 46.094 (45.482)	Prec@5 77.344 (75.962)
Epoch: [59][3910/14090]	Time 0.866 (0.770)	Data 0.001 (0.002)	Loss 2.2276 (2.1559)	Prec@1 42.188 (45.483)	Prec@5 78.906 (75.966)
Epoch: [59][3920/14090]	Time 0.753 (0.770)	Data 0.003 (0.002)	Loss 2.2679 (2.1560)	Prec@1 45.312 (45.482)	Prec@5 72.656 (75.964)
Epoch: [59][3930/14090]	Time 0.759 (0.770)	Data 0.001 (0.002)	Loss 2.0190 (2.1558)	Prec@1 46.875 (45.488)	Prec@5 80.469 (75.967)
Epoch: [59][3940/14090]	Time 0.741 (0.770)	Data 0.001 (0.002)	Loss 1.8791 (2.1559)	Prec@1 49.219 (45.482)	Prec@5 80.469 (75.963)
Epoch: [59][3950/14090]	Time 0.741 (0.770)	Data 0.001 (0.002)	Loss 2.1994 (2.1559)	Prec@1 46.094 (45.481)	Prec@5 78.125 (75.962)
Epoch: [59][3960/14090]	Time 0.786 (0.770)	Data 0.001 (0.002)	Loss 1.8913 (2.1556)	Prec@1 53.125 (45.489)	Prec@5 82.031 (75.964)
Epoch: [59][3970/14090]	Time 0.719 (0.770)	Data 0.001 (0.002)	Loss 2.0959 (2.1556)	Prec@1 44.531 (45.487)	Prec@5 77.344 (75.966)
Epoch: [59][3980/14090]	Time 0.848 (0.770)	Data 0.001 (0.002)	Loss 1.8122 (2.1556)	Prec@1 53.125 (45.491)	Prec@5 78.906 (75.966)
Epoch: [59][3990/14090]	Time 0.769 (0.770)	Data 0.001 (0.002)	Loss 2.3290 (2.1556)	Prec@1 46.094 (45.494)	Prec@5 72.656 (75.963)
Epoch: [59][4000/14090]	Time 0.739 (0.770)	Data 0.001 (0.002)	Loss 2.0956 (2.1555)	Prec@1 45.312 (45.499)	Prec@5 78.125 (75.965)
Epoch: [59][4010/14090]	Time 0.731 (0.770)	Data 0.001 (0.002)	Loss 2.2409 (2.1554)	Prec@1 41.406 (45.501)	Prec@5 74.219 (75.966)
Epoch: [59][4020/14090]	Time 0.727 (0.770)	Data 0.001 (0.002)	Loss 2.0452 (2.1553)	Prec@1 47.656 (45.501)	Prec@5 78.125 (75.967)
Epoch: [59][4030/14090]	Time 0.733 (0.770)	Data 0.001 (0.002)	Loss 2.1605 (2.1551)	Prec@1 50.781 (45.510)	Prec@5 77.344 (75.971)
Epoch: [59][4040/14090]	Time 0.725 (0.770)	Data 0.001 (0.002)	Loss 2.1520 (2.1552)	Prec@1 47.656 (45.512)	Prec@5 77.344 (75.971)
Epoch: [59][4050/14090]	Time 0.894 (0.770)	Data 0.001 (0.002)	Loss 2.0296 (2.1552)	Prec@1 50.781 (45.513)	Prec@5 80.469 (75.971)
Epoch: [59][4060/14090]	Time 0.775 (0.770)	Data 0.001 (0.002)	Loss 2.0278 (2.1553)	Prec@1 50.000 (45.513)	Prec@5 77.344 (75.968)
Epoch: [59][4070/14090]	Time 0.770 (0.770)	Data 0.001 (0.002)	Loss 2.5552 (2.1555)	Prec@1 38.281 (45.514)	Prec@5 69.531 (75.967)
Epoch: [59][4080/14090]	Time 0.735 (0.770)	Data 0.001 (0.002)	Loss 2.0601 (2.1557)	Prec@1 52.344 (45.508)	Prec@5 78.906 (75.963)
Epoch: [59][4090/14090]	Time 0.759 (0.770)	Data 0.001 (0.002)	Loss 1.9241 (2.1555)	Prec@1 42.188 (45.513)	Prec@5 82.031 (75.968)
Epoch: [59][4100/14090]	Time 0.755 (0.770)	Data 0.001 (0.002)	Loss 2.2246 (2.1552)	Prec@1 45.312 (45.518)	Prec@5 73.438 (75.971)
Epoch: [59][4110/14090]	Time 0.771 (0.770)	Data 0.001 (0.002)	Loss 2.4749 (2.1552)	Prec@1 36.719 (45.514)	Prec@5 73.438 (75.973)
Epoch: [59][4120/14090]	Time 0.882 (0.770)	Data 0.001 (0.002)	Loss 2.2557 (2.1555)	Prec@1 42.969 (45.509)	Prec@5 74.219 (75.966)
Epoch: [59][4130/14090]	Time 0.730 (0.770)	Data 0.001 (0.002)	Loss 2.3050 (2.1555)	Prec@1 43.750 (45.511)	Prec@5 71.875 (75.967)
Epoch: [59][4140/14090]	Time 0.752 (0.770)	Data 0.001 (0.002)	Loss 2.2826 (2.1557)	Prec@1 37.500 (45.506)	Prec@5 74.219 (75.963)
Epoch: [59][4150/14090]	Time 0.752 (0.770)	Data 0.001 (0.002)	Loss 2.2202 (2.1557)	Prec@1 44.531 (45.498)	Prec@5 75.000 (75.963)
Epoch: [59][4160/14090]	Time 0.739 (0.770)	Data 0.001 (0.002)	Loss 2.3041 (2.1558)	Prec@1 42.188 (45.497)	Prec@5 71.875 (75.963)
Epoch: [59][4170/14090]	Time 0.771 (0.770)	Data 0.001 (0.002)	Loss 2.0094 (2.1557)	Prec@1 50.781 (45.498)	Prec@5 75.781 (75.966)
Epoch: [59][4180/14090]	Time 0.727 (0.770)	Data 0.001 (0.002)	Loss 2.0119 (2.1557)	Prec@1 47.656 (45.496)	Prec@5 78.125 (75.964)
Epoch: [59][4190/14090]	Time 0.861 (0.770)	Data 0.001 (0.002)	Loss 2.2965 (2.1556)	Prec@1 34.375 (45.496)	Prec@5 77.344 (75.971)
Epoch: [59][4200/14090]	Time 0.735 (0.770)	Data 0.001 (0.002)	Loss 2.3013 (2.1557)	Prec@1 42.969 (45.494)	Prec@5 72.656 (75.971)
Epoch: [59][4210/14090]	Time 0.754 (0.770)	Data 0.001 (0.002)	Loss 2.0472 (2.1558)	Prec@1 47.656 (45.494)	Prec@5 78.906 (75.969)
Epoch: [59][4220/14090]	Time 0.751 (0.770)	Data 0.001 (0.002)	Loss 2.1972 (2.1556)	Prec@1 44.531 (45.500)	Prec@5 71.094 (75.971)
Epoch: [59][4230/14090]	Time 0.737 (0.770)	Data 0.001 (0.002)	Loss 1.8362 (2.1555)	Prec@1 53.125 (45.501)	Prec@5 80.469 (75.973)
Epoch: [59][4240/14090]	Time 0.731 (0.770)	Data 0.001 (0.002)	Loss 2.0770 (2.1554)	Prec@1 42.969 (45.499)	Prec@5 78.125 (75.976)
Epoch: [59][4250/14090]	Time 0.726 (0.770)	Data 0.001 (0.002)	Loss 2.2618 (2.1555)	Prec@1 42.188 (45.499)	Prec@5 72.656 (75.974)
Epoch: [59][4260/14090]	Time 0.877 (0.770)	Data 0.001 (0.002)	Loss 2.4118 (2.1555)	Prec@1 39.062 (45.497)	Prec@5 73.438 (75.973)
Epoch: [59][4270/14090]	Time 0.743 (0.770)	Data 0.001 (0.002)	Loss 2.2026 (2.1554)	Prec@1 39.062 (45.497)	Prec@5 76.562 (75.976)
Epoch: [59][4280/14090]	Time 0.778 (0.770)	Data 0.001 (0.002)	Loss 1.9067 (2.1553)	Prec@1 52.344 (45.498)	Prec@5 78.125 (75.976)
Epoch: [59][4290/14090]	Time 0.738 (0.770)	Data 0.001 (0.002)	Loss 2.1995 (2.1553)	Prec@1 45.312 (45.498)	Prec@5 75.781 (75.975)
Epoch: [59][4300/14090]	Time 0.774 (0.770)	Data 0.001 (0.002)	Loss 1.9404 (2.1555)	Prec@1 50.781 (45.493)	Prec@5 78.125 (75.970)
Epoch: [59][4310/14090]	Time 0.761 (0.770)	Data 0.001 (0.002)	Loss 2.2315 (2.1555)	Prec@1 52.344 (45.497)	Prec@5 75.000 (75.970)
Epoch: [59][4320/14090]	Time 0.750 (0.770)	Data 0.001 (0.002)	Loss 2.0631 (2.1555)	Prec@1 45.312 (45.493)	Prec@5 77.344 (75.969)
Epoch: [59][4330/14090]	Time 0.888 (0.770)	Data 0.001 (0.002)	Loss 2.0651 (2.1556)	Prec@1 40.625 (45.490)	Prec@5 78.125 (75.968)
Epoch: [59][4340/14090]	Time 0.725 (0.770)	Data 0.003 (0.002)	Loss 2.0545 (2.1556)	Prec@1 49.219 (45.491)	Prec@5 75.781 (75.971)
Epoch: [59][4350/14090]	Time 0.736 (0.770)	Data 0.001 (0.002)	Loss 1.8293 (2.1556)	Prec@1 50.000 (45.489)	Prec@5 80.469 (75.972)
Epoch: [59][4360/14090]	Time 0.755 (0.770)	Data 0.001 (0.002)	Loss 2.2890 (2.1557)	Prec@1 44.531 (45.487)	Prec@5 72.656 (75.970)
Epoch: [59][4370/14090]	Time 0.734 (0.770)	Data 0.001 (0.002)	Loss 2.2488 (2.1557)	Prec@1 46.094 (45.486)	Prec@5 78.125 (75.972)
Epoch: [59][4380/14090]	Time 0.736 (0.770)	Data 0.001 (0.002)	Loss 2.2507 (2.1556)	Prec@1 46.094 (45.487)	Prec@5 72.656 (75.976)
Epoch: [59][4390/14090]	Time 0.757 (0.770)	Data 0.001 (0.002)	Loss 2.0296 (2.1557)	Prec@1 46.094 (45.482)	Prec@5 77.344 (75.973)
Epoch: [59][4400/14090]	Time 0.976 (0.770)	Data 0.001 (0.002)	Loss 2.3737 (2.1558)	Prec@1 41.406 (45.482)	Prec@5 71.094 (75.972)
Epoch: [59][4410/14090]	Time 0.751 (0.770)	Data 0.001 (0.002)	Loss 1.9076 (2.1561)	Prec@1 52.344 (45.480)	Prec@5 82.031 (75.971)
Epoch: [59][4420/14090]	Time 0.742 (0.770)	Data 0.001 (0.002)	Loss 2.3395 (2.1560)	Prec@1 41.406 (45.482)	Prec@5 71.094 (75.969)
Epoch: [59][4430/14090]	Time 0.753 (0.770)	Data 0.001 (0.002)	Loss 2.1358 (2.1562)	Prec@1 45.312 (45.476)	Prec@5 71.875 (75.967)
Epoch: [59][4440/14090]	Time 0.753 (0.770)	Data 0.001 (0.002)	Loss 1.9967 (2.1562)	Prec@1 46.094 (45.474)	Prec@5 82.812 (75.966)
Epoch: [59][4450/14090]	Time 0.751 (0.770)	Data 0.001 (0.002)	Loss 2.0943 (2.1562)	Prec@1 41.406 (45.468)	Prec@5 80.469 (75.968)
Epoch: [59][4460/14090]	Time 0.754 (0.770)	Data 0.001 (0.002)	Loss 2.0596 (2.1562)	Prec@1 46.094 (45.466)	Prec@5 76.562 (75.968)
Epoch: [59][4470/14090]	Time 0.910 (0.770)	Data 0.001 (0.002)	Loss 2.3153 (2.1562)	Prec@1 45.312 (45.466)	Prec@5 71.875 (75.970)
Epoch: [59][4480/14090]	Time 0.768 (0.770)	Data 0.001 (0.002)	Loss 2.2286 (2.1566)	Prec@1 41.406 (45.457)	Prec@5 73.438 (75.961)
Epoch: [59][4490/14090]	Time 0.750 (0.770)	Data 0.001 (0.002)	Loss 2.4967 (2.1568)	Prec@1 35.938 (45.456)	Prec@5 72.656 (75.960)
Epoch: [59][4500/14090]	Time 0.735 (0.770)	Data 0.001 (0.002)	Loss 2.2585 (2.1570)	Prec@1 42.188 (45.452)	Prec@5 70.312 (75.955)
Epoch: [59][4510/14090]	Time 0.751 (0.770)	Data 0.001 (0.002)	Loss 1.9335 (2.1569)	Prec@1 51.562 (45.454)	Prec@5 81.250 (75.955)
Epoch: [59][4520/14090]	Time 0.752 (0.770)	Data 0.001 (0.002)	Loss 2.2821 (2.1568)	Prec@1 49.219 (45.456)	Prec@5 65.625 (75.956)
Epoch: [59][4530/14090]	Time 0.720 (0.770)	Data 0.001 (0.002)	Loss 2.3833 (2.1569)	Prec@1 40.625 (45.455)	Prec@5 67.969 (75.954)
Epoch: [59][4540/14090]	Time 0.874 (0.770)	Data 0.001 (0.002)	Loss 2.1600 (2.1569)	Prec@1 44.531 (45.453)	Prec@5 72.656 (75.950)
Epoch: [59][4550/14090]	Time 0.750 (0.770)	Data 0.001 (0.002)	Loss 2.0654 (2.1570)	Prec@1 42.188 (45.448)	Prec@5 78.906 (75.951)
Epoch: [59][4560/14090]	Time 0.743 (0.770)	Data 0.001 (0.002)	Loss 2.2514 (2.1568)	Prec@1 42.969 (45.450)	Prec@5 77.344 (75.956)
Epoch: [59][4570/14090]	Time 0.758 (0.770)	Data 0.001 (0.002)	Loss 2.0529 (2.1568)	Prec@1 48.438 (45.450)	Prec@5 78.906 (75.958)
Epoch: [59][4580/14090]	Time 0.745 (0.770)	Data 0.001 (0.002)	Loss 2.2583 (2.1568)	Prec@1 38.281 (45.446)	Prec@5 74.219 (75.959)
Epoch: [59][4590/14090]	Time 0.765 (0.770)	Data 0.001 (0.002)	Loss 2.0163 (2.1566)	Prec@1 49.219 (45.453)	Prec@5 80.469 (75.962)
Epoch: [59][4600/14090]	Time 0.780 (0.770)	Data 0.003 (0.002)	Loss 2.0332 (2.1564)	Prec@1 49.219 (45.458)	Prec@5 75.000 (75.967)
Epoch: [59][4610/14090]	Time 0.883 (0.770)	Data 0.001 (0.002)	Loss 2.0754 (2.1562)	Prec@1 48.438 (45.465)	Prec@5 76.562 (75.969)
Epoch: [59][4620/14090]	Time 0.727 (0.770)	Data 0.002 (0.002)	Loss 2.1854 (2.1561)	Prec@1 41.406 (45.461)	Prec@5 72.656 (75.969)
Epoch: [59][4630/14090]	Time 0.785 (0.770)	Data 0.001 (0.002)	Loss 2.2452 (2.1563)	Prec@1 42.969 (45.457)	Prec@5 70.312 (75.965)
Epoch: [59][4640/14090]	Time 0.759 (0.770)	Data 0.001 (0.002)	Loss 2.0727 (2.1563)	Prec@1 48.438 (45.457)	Prec@5 80.469 (75.967)
Epoch: [59][4650/14090]	Time 0.761 (0.770)	Data 0.001 (0.002)	Loss 2.5003 (2.1563)	Prec@1 39.844 (45.456)	Prec@5 71.875 (75.967)
Epoch: [59][4660/14090]	Time 0.770 (0.770)	Data 0.001 (0.002)	Loss 2.0556 (2.1563)	Prec@1 47.656 (45.457)	Prec@5 75.781 (75.964)
Epoch: [59][4670/14090]	Time 0.735 (0.770)	Data 0.001 (0.002)	Loss 2.4646 (2.1564)	Prec@1 35.938 (45.455)	Prec@5 69.531 (75.963)
Epoch: [59][4680/14090]	Time 0.867 (0.770)	Data 0.001 (0.002)	Loss 2.2801 (2.1565)	Prec@1 44.531 (45.451)	Prec@5 73.438 (75.961)
Epoch: [59][4690/14090]	Time 0.755 (0.770)	Data 0.001 (0.002)	Loss 1.7679 (2.1565)	Prec@1 50.000 (45.450)	Prec@5 85.938 (75.962)
Epoch: [59][4700/14090]	Time 0.733 (0.770)	Data 0.001 (0.002)	Loss 2.2359 (2.1565)	Prec@1 40.625 (45.447)	Prec@5 75.000 (75.963)
Epoch: [59][4710/14090]	Time 0.779 (0.770)	Data 0.001 (0.002)	Loss 2.3696 (2.1567)	Prec@1 41.406 (45.441)	Prec@5 69.531 (75.958)
Epoch: [59][4720/14090]	Time 0.740 (0.770)	Data 0.001 (0.002)	Loss 2.2258 (2.1567)	Prec@1 46.094 (45.439)	Prec@5 74.219 (75.959)
Epoch: [59][4730/14090]	Time 0.731 (0.770)	Data 0.001 (0.002)	Loss 2.3354 (2.1567)	Prec@1 44.531 (45.438)	Prec@5 75.000 (75.960)
Epoch: [59][4740/14090]	Time 0.745 (0.770)	Data 0.001 (0.002)	Loss 2.2821 (2.1569)	Prec@1 43.750 (45.438)	Prec@5 75.000 (75.958)
Epoch: [59][4750/14090]	Time 0.888 (0.770)	Data 0.001 (0.002)	Loss 2.5351 (2.1571)	Prec@1 35.938 (45.434)	Prec@5 68.750 (75.955)
Epoch: [59][4760/14090]	Time 0.763 (0.770)	Data 0.001 (0.002)	Loss 2.0602 (2.1571)	Prec@1 42.969 (45.432)	Prec@5 75.000 (75.955)
Epoch: [59][4770/14090]	Time 0.755 (0.770)	Data 0.001 (0.002)	Loss 2.0408 (2.1570)	Prec@1 42.969 (45.432)	Prec@5 78.125 (75.957)
Epoch: [59][4780/14090]	Time 0.749 (0.770)	Data 0.001 (0.002)	Loss 2.4722 (2.1572)	Prec@1 33.594 (45.426)	Prec@5 74.219 (75.950)
Epoch: [59][4790/14090]	Time 0.764 (0.770)	Data 0.001 (0.002)	Loss 2.0580 (2.1572)	Prec@1 48.438 (45.428)	Prec@5 80.469 (75.948)
Epoch: [59][4800/14090]	Time 0.746 (0.770)	Data 0.001 (0.002)	Loss 1.7961 (2.1572)	Prec@1 53.125 (45.430)	Prec@5 79.688 (75.945)
Epoch: [59][4810/14090]	Time 0.758 (0.770)	Data 0.001 (0.002)	Loss 2.3036 (2.1571)	Prec@1 46.875 (45.431)	Prec@5 72.656 (75.946)
Epoch: [59][4820/14090]	Time 0.894 (0.770)	Data 0.001 (0.002)	Loss 2.0781 (2.1571)	Prec@1 47.656 (45.433)	Prec@5 83.594 (75.945)
Epoch: [59][4830/14090]	Time 0.744 (0.770)	Data 0.001 (0.002)	Loss 2.3120 (2.1569)	Prec@1 39.062 (45.433)	Prec@5 70.312 (75.947)
Epoch: [59][4840/14090]	Time 0.727 (0.770)	Data 0.001 (0.002)	Loss 2.0342 (2.1569)	Prec@1 48.438 (45.434)	Prec@5 77.344 (75.948)
Epoch: [59][4850/14090]	Time 0.738 (0.770)	Data 0.002 (0.002)	Loss 2.1759 (2.1570)	Prec@1 41.406 (45.433)	Prec@5 71.875 (75.945)
Epoch: [59][4860/14090]	Time 0.748 (0.770)	Data 0.001 (0.002)	Loss 1.8470 (2.1571)	Prec@1 53.125 (45.434)	Prec@5 81.250 (75.942)
Epoch: [59][4870/14090]	Time 0.743 (0.770)	Data 0.001 (0.002)	Loss 1.7976 (2.1572)	Prec@1 55.469 (45.433)	Prec@5 78.906 (75.940)
Epoch: [59][4880/14090]	Time 0.741 (0.770)	Data 0.001 (0.002)	Loss 2.3173 (2.1572)	Prec@1 42.188 (45.434)	Prec@5 73.438 (75.941)
Epoch: [59][4890/14090]	Time 0.892 (0.770)	Data 0.001 (0.002)	Loss 2.1470 (2.1572)	Prec@1 43.750 (45.430)	Prec@5 77.344 (75.942)
Epoch: [59][4900/14090]	Time 0.737 (0.770)	Data 0.001 (0.002)	Loss 2.3976 (2.1573)	Prec@1 40.625 (45.432)	Prec@5 72.656 (75.940)
Epoch: [59][4910/14090]	Time 0.773 (0.770)	Data 0.002 (0.002)	Loss 1.9272 (2.1572)	Prec@1 50.781 (45.434)	Prec@5 81.250 (75.942)
Epoch: [59][4920/14090]	Time 0.733 (0.770)	Data 0.001 (0.002)	Loss 1.8949 (2.1571)	Prec@1 45.312 (45.435)	Prec@5 75.781 (75.944)
Epoch: [59][4930/14090]	Time 0.741 (0.770)	Data 0.001 (0.002)	Loss 2.3463 (2.1571)	Prec@1 42.969 (45.438)	Prec@5 73.438 (75.941)
Epoch: [59][4940/14090]	Time 0.751 (0.770)	Data 0.001 (0.002)	Loss 2.2888 (2.1571)	Prec@1 45.312 (45.436)	Prec@5 75.781 (75.942)
Epoch: [59][4950/14090]	Time 0.749 (0.770)	Data 0.001 (0.002)	Loss 2.2437 (2.1572)	Prec@1 47.656 (45.434)	Prec@5 73.438 (75.939)
Epoch: [59][4960/14090]	Time 0.868 (0.770)	Data 0.001 (0.002)	Loss 1.9979 (2.1572)	Prec@1 48.438 (45.436)	Prec@5 78.125 (75.940)
Epoch: [59][4970/14090]	Time 0.740 (0.770)	Data 0.001 (0.002)	Loss 2.4226 (2.1573)	Prec@1 36.719 (45.434)	Prec@5 72.656 (75.939)
Epoch: [59][4980/14090]	Time 0.751 (0.770)	Data 0.003 (0.002)	Loss 2.3457 (2.1572)	Prec@1 46.094 (45.439)	Prec@5 77.344 (75.942)
Epoch: [59][4990/14090]	Time 0.762 (0.770)	Data 0.001 (0.002)	Loss 1.9568 (2.1573)	Prec@1 46.094 (45.433)	Prec@5 81.250 (75.943)
Epoch: [59][5000/14090]	Time 0.733 (0.770)	Data 0.001 (0.002)	Loss 2.1153 (2.1573)	Prec@1 46.875 (45.433)	Prec@5 78.906 (75.944)
Epoch: [59][5010/14090]	Time 0.734 (0.770)	Data 0.001 (0.002)	Loss 2.1398 (2.1573)	Prec@1 43.750 (45.436)	Prec@5 79.688 (75.945)
Epoch: [59][5020/14090]	Time 0.729 (0.770)	Data 0.001 (0.002)	Loss 2.4070 (2.1575)	Prec@1 36.719 (45.433)	Prec@5 71.094 (75.942)
Epoch: [59][5030/14090]	Time 0.860 (0.770)	Data 0.001 (0.002)	Loss 2.1419 (2.1577)	Prec@1 42.188 (45.431)	Prec@5 76.562 (75.940)
Epoch: [59][5040/14090]	Time 0.735 (0.770)	Data 0.001 (0.002)	Loss 1.8740 (2.1576)	Prec@1 50.000 (45.431)	Prec@5 82.031 (75.941)
Epoch: [59][5050/14090]	Time 0.755 (0.770)	Data 0.001 (0.002)	Loss 1.9755 (2.1574)	Prec@1 47.656 (45.436)	Prec@5 80.469 (75.943)
Epoch: [59][5060/14090]	Time 0.785 (0.770)	Data 0.001 (0.002)	Loss 2.2184 (2.1574)	Prec@1 43.750 (45.436)	Prec@5 75.000 (75.942)
Epoch: [59][5070/14090]	Time 0.759 (0.770)	Data 0.001 (0.002)	Loss 2.1584 (2.1573)	Prec@1 39.844 (45.431)	Prec@5 78.125 (75.948)
Epoch: [59][5080/14090]	Time 0.787 (0.770)	Data 0.001 (0.002)	Loss 2.3007 (2.1574)	Prec@1 40.625 (45.428)	Prec@5 73.438 (75.946)
Epoch: [59][5090/14090]	Time 0.783 (0.770)	Data 0.001 (0.002)	Loss 2.0029 (2.1574)	Prec@1 48.438 (45.429)	Prec@5 78.906 (75.950)
Epoch: [59][5100/14090]	Time 0.892 (0.770)	Data 0.001 (0.002)	Loss 2.2731 (2.1575)	Prec@1 42.969 (45.428)	Prec@5 69.531 (75.948)
Epoch: [59][5110/14090]	Time 0.733 (0.770)	Data 0.001 (0.002)	Loss 2.1958 (2.1575)	Prec@1 41.406 (45.423)	Prec@5 74.219 (75.947)
Epoch: [59][5120/14090]	Time 0.750 (0.770)	Data 0.001 (0.002)	Loss 2.0459 (2.1575)	Prec@1 50.781 (45.426)	Prec@5 79.688 (75.950)
Epoch: [59][5130/14090]	Time 0.761 (0.770)	Data 0.001 (0.002)	Loss 2.2469 (2.1575)	Prec@1 46.094 (45.427)	Prec@5 72.656 (75.948)
Epoch: [59][5140/14090]	Time 0.772 (0.770)	Data 0.001 (0.002)	Loss 1.9471 (2.1575)	Prec@1 51.562 (45.430)	Prec@5 78.906 (75.951)
Epoch: [59][5150/14090]	Time 0.738 (0.770)	Data 0.001 (0.002)	Loss 1.9577 (2.1573)	Prec@1 52.344 (45.435)	Prec@5 82.031 (75.951)
Epoch: [59][5160/14090]	Time 0.757 (0.770)	Data 0.001 (0.002)	Loss 2.0104 (2.1573)	Prec@1 48.438 (45.437)	Prec@5 78.906 (75.953)
Epoch: [59][5170/14090]	Time 0.876 (0.770)	Data 0.001 (0.002)	Loss 2.3099 (2.1572)	Prec@1 44.531 (45.439)	Prec@5 71.875 (75.954)
Epoch: [59][5180/14090]	Time 0.778 (0.770)	Data 0.001 (0.002)	Loss 2.1863 (2.1573)	Prec@1 38.281 (45.438)	Prec@5 75.781 (75.953)
Epoch: [59][5190/14090]	Time 0.755 (0.770)	Data 0.001 (0.002)	Loss 2.2499 (2.1573)	Prec@1 45.312 (45.440)	Prec@5 73.438 (75.951)
Epoch: [59][5200/14090]	Time 0.729 (0.770)	Data 0.001 (0.002)	Loss 2.1335 (2.1573)	Prec@1 42.188 (45.441)	Prec@5 75.000 (75.952)
Epoch: [59][5210/14090]	Time 0.734 (0.770)	Data 0.001 (0.002)	Loss 2.1746 (2.1572)	Prec@1 44.531 (45.439)	Prec@5 78.906 (75.954)
Epoch: [59][5220/14090]	Time 0.763 (0.770)	Data 0.003 (0.002)	Loss 1.8770 (2.1571)	Prec@1 53.906 (45.440)	Prec@5 83.594 (75.956)
Epoch: [59][5230/14090]	Time 0.760 (0.770)	Data 0.001 (0.002)	Loss 2.2749 (2.1570)	Prec@1 44.531 (45.445)	Prec@5 71.094 (75.957)
Epoch: [59][5240/14090]	Time 0.850 (0.770)	Data 0.001 (0.002)	Loss 2.0537 (2.1570)	Prec@1 50.000 (45.444)	Prec@5 75.781 (75.957)
Epoch: [59][5250/14090]	Time 0.747 (0.770)	Data 0.001 (0.002)	Loss 2.2204 (2.1569)	Prec@1 43.750 (45.449)	Prec@5 75.781 (75.957)
Epoch: [59][5260/14090]	Time 0.754 (0.770)	Data 0.001 (0.002)	Loss 2.1507 (2.1569)	Prec@1 48.438 (45.449)	Prec@5 78.125 (75.958)
Epoch: [59][5270/14090]	Time 0.755 (0.770)	Data 0.001 (0.002)	Loss 2.2795 (2.1570)	Prec@1 41.406 (45.445)	Prec@5 75.000 (75.958)
Epoch: [59][5280/14090]	Time 0.731 (0.770)	Data 0.001 (0.002)	Loss 2.0345 (2.1570)	Prec@1 50.781 (45.445)	Prec@5 79.688 (75.958)
Epoch: [59][5290/14090]	Time 0.753 (0.770)	Data 0.001 (0.002)	Loss 2.4922 (2.1569)	Prec@1 39.062 (45.448)	Prec@5 70.312 (75.959)
Epoch: [59][5300/14090]	Time 0.739 (0.770)	Data 0.001 (0.002)	Loss 2.1430 (2.1571)	Prec@1 47.656 (45.442)	Prec@5 71.875 (75.954)
Epoch: [59][5310/14090]	Time 0.833 (0.770)	Data 0.001 (0.002)	Loss 2.0587 (2.1570)	Prec@1 49.219 (45.444)	Prec@5 74.219 (75.956)
Epoch: [59][5320/14090]	Time 0.725 (0.770)	Data 0.001 (0.002)	Loss 2.1157 (2.1570)	Prec@1 39.844 (45.442)	Prec@5 75.000 (75.955)
Epoch: [59][5330/14090]	Time 0.749 (0.770)	Data 0.001 (0.002)	Loss 2.0979 (2.1570)	Prec@1 42.188 (45.443)	Prec@5 79.688 (75.959)
Epoch: [59][5340/14090]	Time 0.766 (0.770)	Data 0.001 (0.002)	Loss 2.1478 (2.1569)	Prec@1 47.656 (45.446)	Prec@5 78.125 (75.959)
Epoch: [59][5350/14090]	Time 0.745 (0.770)	Data 0.001 (0.002)	Loss 2.1227 (2.1571)	Prec@1 47.656 (45.441)	Prec@5 76.562 (75.956)
Epoch: [59][5360/14090]	Time 0.763 (0.770)	Data 0.001 (0.002)	Loss 2.0207 (2.1569)	Prec@1 51.562 (45.444)	Prec@5 78.125 (75.959)
Epoch: [59][5370/14090]	Time 0.782 (0.770)	Data 0.001 (0.002)	Loss 1.8288 (2.1571)	Prec@1 46.875 (45.438)	Prec@5 86.719 (75.956)
Epoch: [59][5380/14090]	Time 0.890 (0.770)	Data 0.001 (0.002)	Loss 2.0634 (2.1571)	Prec@1 50.000 (45.441)	Prec@5 74.219 (75.954)
Epoch: [59][5390/14090]	Time 0.747 (0.770)	Data 0.001 (0.002)	Loss 2.0428 (2.1571)	Prec@1 47.656 (45.442)	Prec@5 80.469 (75.954)
Epoch: [59][5400/14090]	Time 0.738 (0.770)	Data 0.001 (0.002)	Loss 2.2066 (2.1570)	Prec@1 46.875 (45.444)	Prec@5 73.438 (75.955)
Epoch: [59][5410/14090]	Time 0.738 (0.770)	Data 0.001 (0.002)	Loss 2.1598 (2.1571)	Prec@1 42.969 (45.440)	Prec@5 76.562 (75.953)
Epoch: [59][5420/14090]	Time 0.754 (0.770)	Data 0.001 (0.002)	Loss 2.1241 (2.1572)	Prec@1 48.438 (45.440)	Prec@5 75.781 (75.954)
Epoch: [59][5430/14090]	Time 0.740 (0.770)	Data 0.001 (0.002)	Loss 2.3226 (2.1571)	Prec@1 39.844 (45.440)	Prec@5 72.656 (75.953)
Epoch: [59][5440/14090]	Time 0.773 (0.770)	Data 0.001 (0.002)	Loss 2.1894 (2.1573)	Prec@1 46.094 (45.439)	Prec@5 74.219 (75.950)
Epoch: [59][5450/14090]	Time 0.853 (0.770)	Data 0.001 (0.002)	Loss 2.3564 (2.1574)	Prec@1 48.438 (45.436)	Prec@5 74.219 (75.949)
Epoch: [59][5460/14090]	Time 0.746 (0.770)	Data 0.001 (0.002)	Loss 2.2761 (2.1574)	Prec@1 42.188 (45.430)	Prec@5 72.656 (75.948)
Epoch: [59][5470/14090]	Time 0.728 (0.770)	Data 0.001 (0.002)	Loss 1.9477 (2.1573)	Prec@1 52.344 (45.431)	Prec@5 78.906 (75.948)
Epoch: [59][5480/14090]	Time 0.732 (0.770)	Data 0.001 (0.002)	Loss 2.2879 (2.1574)	Prec@1 44.531 (45.429)	Prec@5 72.656 (75.946)
Epoch: [59][5490/14090]	Time 0.733 (0.770)	Data 0.001 (0.002)	Loss 2.1552 (2.1574)	Prec@1 42.969 (45.428)	Prec@5 75.000 (75.946)
Epoch: [59][5500/14090]	Time 0.758 (0.770)	Data 0.001 (0.002)	Loss 1.9573 (2.1571)	Prec@1 50.000 (45.435)	Prec@5 75.781 (75.950)
Epoch: [59][5510/14090]	Time 0.729 (0.770)	Data 0.001 (0.002)	Loss 2.2239 (2.1572)	Prec@1 45.312 (45.434)	Prec@5 72.656 (75.949)
Epoch: [59][5520/14090]	Time 0.862 (0.770)	Data 0.001 (0.002)	Loss 2.2854 (2.1573)	Prec@1 44.531 (45.433)	Prec@5 75.000 (75.946)
Epoch: [59][5530/14090]	Time 0.758 (0.770)	Data 0.001 (0.002)	Loss 2.1572 (2.1575)	Prec@1 45.312 (45.428)	Prec@5 78.125 (75.944)
Epoch: [59][5540/14090]	Time 0.748 (0.770)	Data 0.001 (0.002)	Loss 2.1649 (2.1575)	Prec@1 42.969 (45.426)	Prec@5 79.688 (75.945)
Epoch: [59][5550/14090]	Time 0.756 (0.770)	Data 0.001 (0.002)	Loss 1.9970 (2.1575)	Prec@1 48.438 (45.426)	Prec@5 76.562 (75.947)
Epoch: [59][5560/14090]	Time 0.746 (0.770)	Data 0.001 (0.002)	Loss 2.1536 (2.1575)	Prec@1 46.875 (45.427)	Prec@5 76.562 (75.947)
Epoch: [59][5570/14090]	Time 0.745 (0.770)	Data 0.001 (0.002)	Loss 2.2792 (2.1574)	Prec@1 40.625 (45.428)	Prec@5 72.656 (75.947)
Epoch: [59][5580/14090]	Time 0.730 (0.770)	Data 0.001 (0.002)	Loss 2.4984 (2.1574)	Prec@1 40.625 (45.428)	Prec@5 69.531 (75.950)
Epoch: [59][5590/14090]	Time 0.856 (0.770)	Data 0.001 (0.002)	Loss 1.7581 (2.1571)	Prec@1 50.781 (45.431)	Prec@5 85.156 (75.955)
Epoch: [59][5600/14090]	Time 0.746 (0.770)	Data 0.001 (0.002)	Loss 1.9202 (2.1571)	Prec@1 44.531 (45.430)	Prec@5 84.375 (75.959)
Epoch: [59][5610/14090]	Time 0.746 (0.770)	Data 0.001 (0.002)	Loss 2.0973 (2.1570)	Prec@1 50.781 (45.432)	Prec@5 77.344 (75.962)
Epoch: [59][5620/14090]	Time 0.727 (0.770)	Data 0.001 (0.002)	Loss 2.0861 (2.1570)	Prec@1 48.438 (45.433)	Prec@5 81.250 (75.961)
Epoch: [59][5630/14090]	Time 0.740 (0.770)	Data 0.001 (0.002)	Loss 2.2914 (2.1570)	Prec@1 46.094 (45.434)	Prec@5 71.875 (75.961)
Epoch: [59][5640/14090]	Time 0.724 (0.770)	Data 0.001 (0.002)	Loss 2.1499 (2.1570)	Prec@1 49.219 (45.432)	Prec@5 74.219 (75.959)
Epoch: [59][5650/14090]	Time 0.782 (0.769)	Data 0.003 (0.002)	Loss 2.2120 (2.1571)	Prec@1 46.094 (45.432)	Prec@5 71.875 (75.955)
Epoch: [59][5660/14090]	Time 0.861 (0.769)	Data 0.001 (0.002)	Loss 2.2816 (2.1570)	Prec@1 43.750 (45.434)	Prec@5 71.094 (75.957)
Epoch: [59][5670/14090]	Time 0.773 (0.769)	Data 0.001 (0.002)	Loss 1.9393 (2.1571)	Prec@1 48.438 (45.432)	Prec@5 79.688 (75.954)
Epoch: [59][5680/14090]	Time 0.740 (0.769)	Data 0.001 (0.002)	Loss 2.1332 (2.1570)	Prec@1 44.531 (45.432)	Prec@5 71.094 (75.955)
Epoch: [59][5690/14090]	Time 0.748 (0.769)	Data 0.001 (0.002)	Loss 2.0567 (2.1570)	Prec@1 46.094 (45.431)	Prec@5 82.031 (75.954)
Epoch: [59][5700/14090]	Time 0.761 (0.769)	Data 0.001 (0.002)	Loss 1.9656 (2.1569)	Prec@1 49.219 (45.431)	Prec@5 81.250 (75.956)
Epoch: [59][5710/14090]	Time 0.741 (0.769)	Data 0.001 (0.002)	Loss 2.0839 (2.1570)	Prec@1 46.875 (45.432)	Prec@5 76.562 (75.954)
Epoch: [59][5720/14090]	Time 0.751 (0.769)	Data 0.001 (0.002)	Loss 2.3221 (2.1570)	Prec@1 42.188 (45.431)	Prec@5 79.688 (75.958)
Epoch: [59][5730/14090]	Time 0.846 (0.769)	Data 0.001 (0.002)	Loss 2.0923 (2.1570)	Prec@1 50.000 (45.431)	Prec@5 75.000 (75.957)
Epoch: [59][5740/14090]	Time 0.752 (0.769)	Data 0.001 (0.002)	Loss 2.2633 (2.1571)	Prec@1 41.406 (45.429)	Prec@5 72.656 (75.956)
Epoch: [59][5750/14090]	Time 0.746 (0.769)	Data 0.001 (0.002)	Loss 2.0362 (2.1570)	Prec@1 47.656 (45.431)	Prec@5 79.688 (75.956)
Epoch: [59][5760/14090]	Time 0.745 (0.769)	Data 0.001 (0.002)	Loss 2.4749 (2.1572)	Prec@1 42.188 (45.426)	Prec@5 67.969 (75.953)
Epoch: [59][5770/14090]	Time 0.726 (0.769)	Data 0.001 (0.002)	Loss 2.2602 (2.1573)	Prec@1 45.312 (45.426)	Prec@5 70.312 (75.953)
Epoch: [59][5780/14090]	Time 0.768 (0.769)	Data 0.001 (0.002)	Loss 2.6615 (2.1572)	Prec@1 35.156 (45.426)	Prec@5 67.969 (75.956)
Epoch: [59][5790/14090]	Time 0.738 (0.769)	Data 0.001 (0.002)	Loss 2.1337 (2.1572)	Prec@1 48.438 (45.428)	Prec@5 75.781 (75.955)
Epoch: [59][5800/14090]	Time 0.843 (0.769)	Data 0.001 (0.002)	Loss 1.9277 (2.1572)	Prec@1 44.531 (45.425)	Prec@5 81.250 (75.956)
Epoch: [59][5810/14090]	Time 0.742 (0.769)	Data 0.001 (0.002)	Loss 2.2058 (2.1572)	Prec@1 44.531 (45.426)	Prec@5 73.438 (75.956)
Epoch: [59][5820/14090]	Time 0.731 (0.769)	Data 0.001 (0.002)	Loss 2.0709 (2.1572)	Prec@1 46.875 (45.426)	Prec@5 75.781 (75.958)
Epoch: [59][5830/14090]	Time 0.729 (0.769)	Data 0.001 (0.002)	Loss 2.5518 (2.1573)	Prec@1 41.406 (45.425)	Prec@5 67.969 (75.955)
Epoch: [59][5840/14090]	Time 0.734 (0.769)	Data 0.001 (0.002)	Loss 2.2133 (2.1574)	Prec@1 42.969 (45.420)	Prec@5 74.219 (75.954)
Epoch: [59][5850/14090]	Time 0.758 (0.769)	Data 0.001 (0.002)	Loss 2.2838 (2.1575)	Prec@1 39.062 (45.419)	Prec@5 71.094 (75.951)
Epoch: [59][5860/14090]	Time 0.752 (0.769)	Data 0.001 (0.002)	Loss 2.0733 (2.1576)	Prec@1 50.000 (45.421)	Prec@5 75.000 (75.949)
Epoch: [59][5870/14090]	Time 0.898 (0.769)	Data 0.001 (0.002)	Loss 2.3427 (2.1576)	Prec@1 42.188 (45.420)	Prec@5 71.094 (75.949)
Epoch: [59][5880/14090]	Time 0.744 (0.769)	Data 0.001 (0.002)	Loss 2.0900 (2.1576)	Prec@1 42.188 (45.418)	Prec@5 80.469 (75.949)
Epoch: [59][5890/14090]	Time 0.736 (0.769)	Data 0.001 (0.002)	Loss 2.0633 (2.1575)	Prec@1 42.188 (45.420)	Prec@5 79.688 (75.951)
Epoch: [59][5900/14090]	Time 0.771 (0.769)	Data 0.001 (0.002)	Loss 2.0657 (2.1576)	Prec@1 49.219 (45.417)	Prec@5 82.812 (75.949)
Epoch: [59][5910/14090]	Time 0.778 (0.769)	Data 0.001 (0.002)	Loss 1.9563 (2.1576)	Prec@1 51.562 (45.415)	Prec@5 81.250 (75.946)
Epoch: [59][5920/14090]	Time 0.762 (0.769)	Data 0.001 (0.002)	Loss 2.4285 (2.1577)	Prec@1 38.281 (45.413)	Prec@5 72.656 (75.945)
Epoch: [59][5930/14090]	Time 0.759 (0.769)	Data 0.001 (0.002)	Loss 2.2668 (2.1577)	Prec@1 40.625 (45.411)	Prec@5 75.000 (75.946)
Epoch: [59][5940/14090]	Time 0.924 (0.769)	Data 0.001 (0.002)	Loss 2.3760 (2.1578)	Prec@1 42.969 (45.408)	Prec@5 70.312 (75.947)
Epoch: [59][5950/14090]	Time 0.727 (0.769)	Data 0.001 (0.002)	Loss 2.1359 (2.1579)	Prec@1 49.219 (45.404)	Prec@5 78.906 (75.946)
Epoch: [59][5960/14090]	Time 0.727 (0.769)	Data 0.001 (0.002)	Loss 2.2111 (2.1578)	Prec@1 47.656 (45.409)	Prec@5 72.656 (75.947)
Epoch: [59][5970/14090]	Time 0.735 (0.769)	Data 0.001 (0.002)	Loss 2.2934 (2.1578)	Prec@1 42.969 (45.407)	Prec@5 71.875 (75.948)
Epoch: [59][5980/14090]	Time 0.750 (0.769)	Data 0.001 (0.002)	Loss 2.0199 (2.1579)	Prec@1 51.562 (45.406)	Prec@5 71.875 (75.944)
Epoch: [59][5990/14090]	Time 0.735 (0.769)	Data 0.001 (0.002)	Loss 2.2728 (2.1579)	Prec@1 39.062 (45.404)	Prec@5 77.344 (75.946)
Epoch: [59][6000/14090]	Time 0.741 (0.769)	Data 0.001 (0.002)	Loss 1.7832 (2.1578)	Prec@1 53.906 (45.404)	Prec@5 82.812 (75.947)
Epoch: [59][6010/14090]	Time 0.853 (0.769)	Data 0.001 (0.002)	Loss 2.1296 (2.1579)	Prec@1 46.875 (45.403)	Prec@5 75.000 (75.946)
Epoch: [59][6020/14090]	Time 0.754 (0.769)	Data 0.001 (0.002)	Loss 2.2350 (2.1579)	Prec@1 44.531 (45.403)	Prec@5 76.562 (75.945)
Epoch: [59][6030/14090]	Time 0.780 (0.769)	Data 0.001 (0.002)	Loss 2.0772 (2.1579)	Prec@1 47.656 (45.403)	Prec@5 77.344 (75.944)
Epoch: [59][6040/14090]	Time 0.750 (0.769)	Data 0.001 (0.002)	Loss 1.9970 (2.1578)	Prec@1 46.094 (45.404)	Prec@5 79.688 (75.947)
Epoch: [59][6050/14090]	Time 0.740 (0.769)	Data 0.001 (0.002)	Loss 2.3291 (2.1578)	Prec@1 41.406 (45.400)	Prec@5 75.000 (75.945)
Epoch: [59][6060/14090]	Time 0.737 (0.769)	Data 0.001 (0.002)	Loss 2.1987 (2.1578)	Prec@1 45.312 (45.398)	Prec@5 74.219 (75.944)
Epoch: [59][6070/14090]	Time 0.741 (0.769)	Data 0.001 (0.002)	Loss 2.1955 (2.1578)	Prec@1 42.188 (45.398)	Prec@5 75.781 (75.945)
Epoch: [59][6080/14090]	Time 0.873 (0.769)	Data 0.001 (0.002)	Loss 2.1213 (2.1578)	Prec@1 45.312 (45.399)	Prec@5 73.438 (75.943)
Epoch: [59][6090/14090]	Time 0.750 (0.769)	Data 0.001 (0.002)	Loss 2.0742 (2.1578)	Prec@1 47.656 (45.399)	Prec@5 78.125 (75.944)
Epoch: [59][6100/14090]	Time 0.757 (0.769)	Data 0.001 (0.002)	Loss 2.1797 (2.1579)	Prec@1 39.062 (45.400)	Prec@5 71.875 (75.944)
Epoch: [59][6110/14090]	Time 0.733 (0.769)	Data 0.001 (0.002)	Loss 1.9537 (2.1579)	Prec@1 50.000 (45.400)	Prec@5 81.250 (75.946)
Epoch: [59][6120/14090]	Time 0.757 (0.769)	Data 0.001 (0.002)	Loss 2.1408 (2.1579)	Prec@1 45.312 (45.400)	Prec@5 75.000 (75.946)
Epoch: [59][6130/14090]	Time 0.727 (0.769)	Data 0.001 (0.002)	Loss 2.1837 (2.1578)	Prec@1 44.531 (45.399)	Prec@5 76.562 (75.947)
Epoch: [59][6140/14090]	Time 0.756 (0.769)	Data 0.001 (0.002)	Loss 2.2273 (2.1579)	Prec@1 40.625 (45.395)	Prec@5 75.000 (75.945)
Epoch: [59][6150/14090]	Time 0.835 (0.769)	Data 0.001 (0.002)	Loss 2.4326 (2.1578)	Prec@1 40.625 (45.392)	Prec@5 71.094 (75.944)
Epoch: [59][6160/14090]	Time 0.778 (0.769)	Data 0.001 (0.002)	Loss 2.2824 (2.1577)	Prec@1 49.219 (45.397)	Prec@5 71.875 (75.947)
Epoch: [59][6170/14090]	Time 0.725 (0.769)	Data 0.001 (0.002)	Loss 1.9858 (2.1577)	Prec@1 50.000 (45.399)	Prec@5 81.250 (75.947)
Epoch: [59][6180/14090]	Time 0.763 (0.769)	Data 0.001 (0.002)	Loss 2.5377 (2.1578)	Prec@1 33.594 (45.399)	Prec@5 69.531 (75.948)
Epoch: [59][6190/14090]	Time 0.735 (0.769)	Data 0.001 (0.002)	Loss 2.1583 (2.1578)	Prec@1 46.094 (45.399)	Prec@5 75.000 (75.946)
Epoch: [59][6200/14090]	Time 0.732 (0.769)	Data 0.001 (0.002)	Loss 1.9092 (2.1579)	Prec@1 46.094 (45.396)	Prec@5 80.469 (75.946)
Epoch: [59][6210/14090]	Time 0.778 (0.769)	Data 0.001 (0.002)	Loss 2.3441 (2.1578)	Prec@1 45.312 (45.396)	Prec@5 70.312 (75.948)
Epoch: [59][6220/14090]	Time 0.917 (0.769)	Data 0.002 (0.002)	Loss 1.9510 (2.1577)	Prec@1 46.875 (45.397)	Prec@5 81.250 (75.950)
Epoch: [59][6230/14090]	Time 0.777 (0.769)	Data 0.001 (0.002)	Loss 1.9840 (2.1576)	Prec@1 44.531 (45.396)	Prec@5 79.688 (75.949)
Epoch: [59][6240/14090]	Time 0.725 (0.769)	Data 0.001 (0.002)	Loss 2.2036 (2.1576)	Prec@1 38.281 (45.399)	Prec@5 70.312 (75.950)
Epoch: [59][6250/14090]	Time 0.762 (0.769)	Data 0.001 (0.002)	Loss 2.2874 (2.1575)	Prec@1 40.625 (45.399)	Prec@5 71.094 (75.951)
Epoch: [59][6260/14090]	Time 0.760 (0.769)	Data 0.001 (0.002)	Loss 1.7819 (2.1576)	Prec@1 57.812 (45.398)	Prec@5 79.688 (75.950)
Epoch: [59][6270/14090]	Time 0.755 (0.769)	Data 0.001 (0.002)	Loss 1.9671 (2.1575)	Prec@1 50.000 (45.399)	Prec@5 76.562 (75.953)
Epoch: [59][6280/14090]	Time 0.766 (0.769)	Data 0.001 (0.002)	Loss 2.2030 (2.1576)	Prec@1 46.094 (45.398)	Prec@5 76.562 (75.952)
Epoch: [59][6290/14090]	Time 0.868 (0.769)	Data 0.001 (0.002)	Loss 2.3323 (2.1577)	Prec@1 46.094 (45.395)	Prec@5 75.781 (75.951)
Epoch: [59][6300/14090]	Time 0.758 (0.769)	Data 0.001 (0.002)	Loss 2.4649 (2.1577)	Prec@1 40.625 (45.398)	Prec@5 69.531 (75.950)
Epoch: [59][6310/14090]	Time 0.776 (0.769)	Data 0.001 (0.002)	Loss 2.3183 (2.1577)	Prec@1 42.969 (45.399)	Prec@5 75.000 (75.950)
Epoch: [59][6320/14090]	Time 0.726 (0.769)	Data 0.001 (0.002)	Loss 2.3570 (2.1578)	Prec@1 42.969 (45.395)	Prec@5 75.000 (75.947)
Epoch: [59][6330/14090]	Time 0.732 (0.769)	Data 0.001 (0.002)	Loss 2.2986 (2.1578)	Prec@1 42.188 (45.396)	Prec@5 70.312 (75.947)
Epoch: [59][6340/14090]	Time 0.737 (0.769)	Data 0.001 (0.002)	Loss 1.9785 (2.1579)	Prec@1 53.125 (45.394)	Prec@5 76.562 (75.943)
Epoch: [59][6350/14090]	Time 0.730 (0.769)	Data 0.001 (0.002)	Loss 2.1916 (2.1580)	Prec@1 39.062 (45.393)	Prec@5 76.562 (75.940)
Epoch: [59][6360/14090]	Time 0.865 (0.769)	Data 0.001 (0.002)	Loss 1.9619 (2.1578)	Prec@1 49.219 (45.397)	Prec@5 76.562 (75.944)
Epoch: [59][6370/14090]	Time 0.741 (0.769)	Data 0.001 (0.002)	Loss 2.4405 (2.1579)	Prec@1 42.969 (45.396)	Prec@5 71.875 (75.945)
Epoch: [59][6380/14090]	Time 0.759 (0.769)	Data 0.001 (0.002)	Loss 2.2725 (2.1579)	Prec@1 43.750 (45.394)	Prec@5 73.438 (75.946)
Epoch: [59][6390/14090]	Time 0.734 (0.769)	Data 0.001 (0.002)	Loss 2.2607 (2.1582)	Prec@1 45.312 (45.393)	Prec@5 76.562 (75.941)
Epoch: [59][6400/14090]	Time 0.778 (0.769)	Data 0.001 (0.002)	Loss 1.8219 (2.1581)	Prec@1 51.562 (45.395)	Prec@5 82.031 (75.941)
Epoch: [59][6410/14090]	Time 0.735 (0.769)	Data 0.001 (0.002)	Loss 2.0322 (2.1582)	Prec@1 50.781 (45.393)	Prec@5 74.219 (75.939)
Epoch: [59][6420/14090]	Time 0.751 (0.769)	Data 0.001 (0.002)	Loss 2.0668 (2.1583)	Prec@1 46.875 (45.393)	Prec@5 75.000 (75.938)
Epoch: [59][6430/14090]	Time 0.852 (0.769)	Data 0.001 (0.002)	Loss 2.2209 (2.1583)	Prec@1 44.531 (45.396)	Prec@5 79.688 (75.939)
Epoch: [59][6440/14090]	Time 0.767 (0.769)	Data 0.001 (0.002)	Loss 2.1987 (2.1582)	Prec@1 40.625 (45.397)	Prec@5 71.094 (75.938)
Epoch: [59][6450/14090]	Time 0.758 (0.769)	Data 0.001 (0.002)	Loss 1.9451 (2.1583)	Prec@1 48.438 (45.393)	Prec@5 79.688 (75.937)
Epoch: [59][6460/14090]	Time 0.738 (0.769)	Data 0.001 (0.002)	Loss 2.1760 (2.1583)	Prec@1 43.750 (45.394)	Prec@5 73.438 (75.937)
Epoch: [59][6470/14090]	Time 0.738 (0.769)	Data 0.001 (0.002)	Loss 2.3268 (2.1583)	Prec@1 39.844 (45.395)	Prec@5 74.219 (75.940)
Epoch: [59][6480/14090]	Time 0.754 (0.769)	Data 0.002 (0.002)	Loss 2.1349 (2.1582)	Prec@1 47.656 (45.398)	Prec@5 78.125 (75.942)
Epoch: [59][6490/14090]	Time 0.748 (0.769)	Data 0.001 (0.002)	Loss 2.1211 (2.1582)	Prec@1 52.344 (45.398)	Prec@5 73.438 (75.940)
Epoch: [59][6500/14090]	Time 0.887 (0.769)	Data 0.001 (0.002)	Loss 2.2029 (2.1583)	Prec@1 45.312 (45.398)	Prec@5 78.125 (75.938)
Epoch: [59][6510/14090]	Time 0.729 (0.769)	Data 0.001 (0.002)	Loss 1.9800 (2.1584)	Prec@1 51.562 (45.397)	Prec@5 78.906 (75.937)
Epoch: [59][6520/14090]	Time 0.751 (0.769)	Data 0.001 (0.002)	Loss 2.5062 (2.1584)	Prec@1 36.719 (45.396)	Prec@5 68.750 (75.937)
Epoch: [59][6530/14090]	Time 0.758 (0.769)	Data 0.001 (0.002)	Loss 1.9939 (2.1584)	Prec@1 43.750 (45.394)	Prec@5 78.906 (75.937)
Epoch: [59][6540/14090]	Time 0.751 (0.769)	Data 0.001 (0.002)	Loss 2.2994 (2.1585)	Prec@1 43.750 (45.391)	Prec@5 75.000 (75.937)
Epoch: [59][6550/14090]	Time 0.759 (0.769)	Data 0.001 (0.002)	Loss 2.2641 (2.1585)	Prec@1 42.969 (45.389)	Prec@5 73.438 (75.939)
Epoch: [59][6560/14090]	Time 0.732 (0.769)	Data 0.001 (0.002)	Loss 2.2276 (2.1585)	Prec@1 42.188 (45.385)	Prec@5 77.344 (75.939)
Epoch: [59][6570/14090]	Time 0.875 (0.769)	Data 0.001 (0.002)	Loss 2.2426 (2.1585)	Prec@1 43.750 (45.386)	Prec@5 74.219 (75.939)
Epoch: [59][6580/14090]	Time 0.738 (0.769)	Data 0.001 (0.002)	Loss 2.0040 (2.1585)	Prec@1 49.219 (45.390)	Prec@5 79.688 (75.939)
Epoch: [59][6590/14090]	Time 0.731 (0.769)	Data 0.001 (0.002)	Loss 2.3081 (2.1584)	Prec@1 39.844 (45.390)	Prec@5 73.438 (75.939)
Epoch: [59][6600/14090]	Time 0.728 (0.769)	Data 0.001 (0.002)	Loss 2.2153 (2.1585)	Prec@1 39.062 (45.389)	Prec@5 71.875 (75.937)
Epoch: [59][6610/14090]	Time 0.757 (0.769)	Data 0.001 (0.002)	Loss 2.2902 (2.1586)	Prec@1 42.188 (45.388)	Prec@5 77.344 (75.935)
Epoch: [59][6620/14090]	Time 0.762 (0.769)	Data 0.001 (0.002)	Loss 2.3953 (2.1587)	Prec@1 36.719 (45.383)	Prec@5 74.219 (75.933)
Epoch: [59][6630/14090]	Time 0.789 (0.769)	Data 0.001 (0.002)	Loss 2.2297 (2.1588)	Prec@1 42.969 (45.380)	Prec@5 75.000 (75.930)
Epoch: [59][6640/14090]	Time 0.882 (0.769)	Data 0.001 (0.002)	Loss 2.2111 (2.1588)	Prec@1 42.969 (45.382)	Prec@5 74.219 (75.931)
Epoch: [59][6650/14090]	Time 0.771 (0.769)	Data 0.001 (0.002)	Loss 2.4577 (2.1588)	Prec@1 39.844 (45.379)	Prec@5 71.094 (75.933)
Epoch: [59][6660/14090]	Time 0.751 (0.769)	Data 0.001 (0.002)	Loss 2.3299 (2.1588)	Prec@1 42.188 (45.379)	Prec@5 75.000 (75.934)
Epoch: [59][6670/14090]	Time 0.756 (0.769)	Data 0.001 (0.002)	Loss 2.0534 (2.1588)	Prec@1 46.875 (45.379)	Prec@5 77.344 (75.935)
Epoch: [59][6680/14090]	Time 0.786 (0.769)	Data 0.001 (0.002)	Loss 2.0046 (2.1589)	Prec@1 52.344 (45.381)	Prec@5 74.219 (75.933)
Epoch: [59][6690/14090]	Time 0.729 (0.769)	Data 0.001 (0.002)	Loss 2.4307 (2.1589)	Prec@1 35.156 (45.383)	Prec@5 72.656 (75.932)
Epoch: [59][6700/14090]	Time 0.776 (0.769)	Data 0.001 (0.002)	Loss 2.0952 (2.1588)	Prec@1 43.750 (45.386)	Prec@5 76.562 (75.935)
Epoch: [59][6710/14090]	Time 0.826 (0.769)	Data 0.001 (0.002)	Loss 2.2539 (2.1588)	Prec@1 41.406 (45.387)	Prec@5 71.094 (75.935)
Epoch: [59][6720/14090]	Time 0.740 (0.769)	Data 0.001 (0.002)	Loss 2.2497 (2.1588)	Prec@1 48.438 (45.388)	Prec@5 72.656 (75.935)
Epoch: [59][6730/14090]	Time 0.777 (0.769)	Data 0.001 (0.002)	Loss 2.1108 (2.1589)	Prec@1 48.438 (45.389)	Prec@5 79.688 (75.934)
Epoch: [59][6740/14090]	Time 0.742 (0.769)	Data 0.001 (0.002)	Loss 1.9780 (2.1588)	Prec@1 47.656 (45.390)	Prec@5 81.250 (75.936)
Epoch: [59][6750/14090]	Time 0.740 (0.769)	Data 0.001 (0.002)	Loss 2.0655 (2.1589)	Prec@1 44.531 (45.387)	Prec@5 79.688 (75.935)
Epoch: [59][6760/14090]	Time 0.753 (0.769)	Data 0.001 (0.002)	Loss 2.0805 (2.1590)	Prec@1 46.094 (45.387)	Prec@5 72.656 (75.931)
Epoch: [59][6770/14090]	Time 0.740 (0.769)	Data 0.001 (0.002)	Loss 1.9654 (2.1589)	Prec@1 47.656 (45.387)	Prec@5 78.906 (75.930)
Epoch: [59][6780/14090]	Time 0.842 (0.769)	Data 0.001 (0.002)	Loss 2.0848 (2.1588)	Prec@1 45.312 (45.389)	Prec@5 77.344 (75.932)
Epoch: [59][6790/14090]	Time 0.739 (0.769)	Data 0.001 (0.002)	Loss 1.8814 (2.1589)	Prec@1 53.906 (45.392)	Prec@5 79.688 (75.932)
Epoch: [59][6800/14090]	Time 0.735 (0.769)	Data 0.001 (0.002)	Loss 2.0109 (2.1588)	Prec@1 50.781 (45.389)	Prec@5 75.781 (75.931)
Epoch: [59][6810/14090]	Time 0.744 (0.769)	Data 0.001 (0.002)	Loss 2.1810 (2.1588)	Prec@1 47.656 (45.390)	Prec@5 74.219 (75.932)
Epoch: [59][6820/14090]	Time 0.751 (0.769)	Data 0.001 (0.002)	Loss 1.9276 (2.1589)	Prec@1 43.750 (45.387)	Prec@5 79.688 (75.932)
Epoch: [59][6830/14090]	Time 0.725 (0.769)	Data 0.001 (0.002)	Loss 1.9766 (2.1590)	Prec@1 51.562 (45.384)	Prec@5 77.344 (75.931)
Epoch: [59][6840/14090]	Time 0.748 (0.769)	Data 0.001 (0.002)	Loss 1.7344 (2.1590)	Prec@1 53.125 (45.384)	Prec@5 85.156 (75.932)
Epoch: [59][6850/14090]	Time 0.856 (0.769)	Data 0.001 (0.002)	Loss 2.0025 (2.1589)	Prec@1 50.781 (45.386)	Prec@5 78.906 (75.932)
Epoch: [59][6860/14090]	Time 0.731 (0.769)	Data 0.001 (0.002)	Loss 2.1910 (2.1590)	Prec@1 43.750 (45.386)	Prec@5 76.562 (75.933)
Epoch: [59][6870/14090]	Time 0.731 (0.769)	Data 0.001 (0.002)	Loss 2.1003 (2.1589)	Prec@1 45.312 (45.390)	Prec@5 78.906 (75.935)
Epoch: [59][6880/14090]	Time 0.753 (0.769)	Data 0.001 (0.002)	Loss 2.2030 (2.1590)	Prec@1 39.844 (45.388)	Prec@5 77.344 (75.934)
Epoch: [59][6890/14090]	Time 0.765 (0.769)	Data 0.001 (0.002)	Loss 2.1860 (2.1591)	Prec@1 46.094 (45.387)	Prec@5 75.000 (75.931)
Epoch: [59][6900/14090]	Time 0.754 (0.769)	Data 0.001 (0.002)	Loss 1.9223 (2.1592)	Prec@1 52.344 (45.385)	Prec@5 79.688 (75.930)
Epoch: [59][6910/14090]	Time 0.752 (0.769)	Data 0.001 (0.002)	Loss 2.2986 (2.1591)	Prec@1 43.750 (45.385)	Prec@5 74.219 (75.934)
Epoch: [59][6920/14090]	Time 0.840 (0.769)	Data 0.001 (0.002)	Loss 2.2630 (2.1591)	Prec@1 43.750 (45.386)	Prec@5 74.219 (75.934)
Epoch: [59][6930/14090]	Time 0.748 (0.769)	Data 0.001 (0.002)	Loss 2.5844 (2.1591)	Prec@1 37.500 (45.384)	Prec@5 63.281 (75.935)
Epoch: [59][6940/14090]	Time 0.740 (0.769)	Data 0.001 (0.002)	Loss 1.9867 (2.1589)	Prec@1 45.312 (45.385)	Prec@5 83.594 (75.939)
Epoch: [59][6950/14090]	Time 0.756 (0.769)	Data 0.001 (0.002)	Loss 2.2935 (2.1589)	Prec@1 46.094 (45.386)	Prec@5 74.219 (75.938)
Epoch: [59][6960/14090]	Time 0.743 (0.769)	Data 0.001 (0.002)	Loss 2.3883 (2.1588)	Prec@1 42.188 (45.389)	Prec@5 76.562 (75.940)
Epoch: [59][6970/14090]	Time 0.729 (0.769)	Data 0.001 (0.002)	Loss 2.1183 (2.1588)	Prec@1 46.094 (45.388)	Prec@5 74.219 (75.940)
Epoch: [59][6980/14090]	Time 0.728 (0.769)	Data 0.001 (0.002)	Loss 2.2310 (2.1588)	Prec@1 41.406 (45.390)	Prec@5 78.906 (75.942)
Epoch: [59][6990/14090]	Time 0.840 (0.769)	Data 0.001 (0.002)	Loss 2.2025 (2.1588)	Prec@1 44.531 (45.387)	Prec@5 76.562 (75.941)
Epoch: [59][7000/14090]	Time 0.728 (0.769)	Data 0.001 (0.002)	Loss 2.1511 (2.1588)	Prec@1 45.312 (45.387)	Prec@5 78.125 (75.941)
Epoch: [59][7010/14090]	Time 0.736 (0.769)	Data 0.001 (0.002)	Loss 2.2740 (2.1588)	Prec@1 42.969 (45.386)	Prec@5 70.312 (75.941)
Epoch: [59][7020/14090]	Time 0.769 (0.769)	Data 0.001 (0.002)	Loss 2.4113 (2.1589)	Prec@1 36.719 (45.385)	Prec@5 72.656 (75.938)
Epoch: [59][7030/14090]	Time 0.732 (0.769)	Data 0.001 (0.002)	Loss 2.1637 (2.1589)	Prec@1 45.312 (45.384)	Prec@5 74.219 (75.938)
Epoch: [59][7040/14090]	Time 0.731 (0.769)	Data 0.001 (0.002)	Loss 2.1337 (2.1589)	Prec@1 46.875 (45.382)	Prec@5 78.125 (75.937)
Epoch: [59][7050/14090]	Time 0.735 (0.769)	Data 0.001 (0.002)	Loss 2.1947 (2.1589)	Prec@1 45.312 (45.382)	Prec@5 71.094 (75.936)
Epoch: [59][7060/14090]	Time 0.879 (0.769)	Data 0.001 (0.002)	Loss 2.3231 (2.1588)	Prec@1 39.844 (45.381)	Prec@5 69.531 (75.937)
Epoch: [59][7070/14090]	Time 0.733 (0.769)	Data 0.001 (0.002)	Loss 2.0872 (2.1589)	Prec@1 42.969 (45.380)	Prec@5 78.906 (75.934)
Epoch: [59][7080/14090]	Time 0.743 (0.769)	Data 0.001 (0.002)	Loss 2.2177 (2.1589)	Prec@1 40.625 (45.381)	Prec@5 69.531 (75.935)
Epoch: [59][7090/14090]	Time 0.756 (0.769)	Data 0.001 (0.002)	Loss 2.2203 (2.1590)	Prec@1 48.438 (45.381)	Prec@5 71.875 (75.934)
Epoch: [59][7100/14090]	Time 0.774 (0.769)	Data 0.001 (0.002)	Loss 2.3133 (2.1589)	Prec@1 42.188 (45.383)	Prec@5 70.312 (75.934)
Epoch: [59][7110/14090]	Time 0.763 (0.769)	Data 0.001 (0.002)	Loss 1.9500 (2.1590)	Prec@1 47.656 (45.385)	Prec@5 76.562 (75.933)
Epoch: [59][7120/14090]	Time 0.789 (0.769)	Data 0.001 (0.002)	Loss 2.1960 (2.1590)	Prec@1 44.531 (45.385)	Prec@5 72.656 (75.932)
Epoch: [59][7130/14090]	Time 0.893 (0.769)	Data 0.001 (0.002)	Loss 2.1290 (2.1590)	Prec@1 44.531 (45.385)	Prec@5 77.344 (75.932)
Epoch: [59][7140/14090]	Time 0.790 (0.769)	Data 0.001 (0.002)	Loss 2.1617 (2.1590)	Prec@1 45.312 (45.382)	Prec@5 79.688 (75.931)
Epoch: [59][7150/14090]	Time 0.743 (0.769)	Data 0.001 (0.002)	Loss 2.2273 (2.1591)	Prec@1 42.969 (45.380)	Prec@5 70.312 (75.930)
Epoch: [59][7160/14090]	Time 0.745 (0.769)	Data 0.001 (0.002)	Loss 2.1599 (2.1589)	Prec@1 45.312 (45.380)	Prec@5 75.000 (75.932)
Epoch: [59][7170/14090]	Time 0.748 (0.769)	Data 0.001 (0.002)	Loss 2.3170 (2.1589)	Prec@1 42.969 (45.380)	Prec@5 73.438 (75.933)
Epoch: [59][7180/14090]	Time 0.734 (0.769)	Data 0.001 (0.002)	Loss 2.0525 (2.1589)	Prec@1 47.656 (45.377)	Prec@5 72.656 (75.929)
Epoch: [59][7190/14090]	Time 0.741 (0.769)	Data 0.001 (0.002)	Loss 2.0227 (2.1588)	Prec@1 47.656 (45.378)	Prec@5 76.562 (75.933)
Epoch: [59][7200/14090]	Time 0.840 (0.769)	Data 0.001 (0.002)	Loss 1.9729 (2.1588)	Prec@1 42.969 (45.375)	Prec@5 81.250 (75.934)
Epoch: [59][7210/14090]	Time 0.776 (0.769)	Data 0.001 (0.002)	Loss 2.1549 (2.1588)	Prec@1 45.312 (45.377)	Prec@5 75.781 (75.934)
Epoch: [59][7220/14090]	Time 0.737 (0.769)	Data 0.001 (0.002)	Loss 2.0369 (2.1587)	Prec@1 45.312 (45.377)	Prec@5 80.469 (75.935)
Epoch: [59][7230/14090]	Time 0.743 (0.769)	Data 0.001 (0.002)	Loss 2.2946 (2.1586)	Prec@1 40.625 (45.378)	Prec@5 70.312 (75.937)
Epoch: [59][7240/14090]	Time 0.750 (0.769)	Data 0.001 (0.002)	Loss 2.0657 (2.1586)	Prec@1 52.344 (45.379)	Prec@5 81.250 (75.937)
Epoch: [59][7250/14090]	Time 0.747 (0.769)	Data 0.001 (0.002)	Loss 2.0308 (2.1585)	Prec@1 46.094 (45.381)	Prec@5 71.875 (75.938)
Epoch: [59][7260/14090]	Time 0.774 (0.769)	Data 0.001 (0.002)	Loss 2.0169 (2.1586)	Prec@1 46.094 (45.379)	Prec@5 77.344 (75.938)
Epoch: [59][7270/14090]	Time 0.846 (0.769)	Data 0.001 (0.002)	Loss 2.0677 (2.1585)	Prec@1 48.438 (45.380)	Prec@5 78.125 (75.940)
Epoch: [59][7280/14090]	Time 0.734 (0.769)	Data 0.001 (0.002)	Loss 2.1455 (2.1585)	Prec@1 43.750 (45.381)	Prec@5 78.906 (75.942)
Epoch: [59][7290/14090]	Time 0.734 (0.769)	Data 0.001 (0.002)	Loss 2.2025 (2.1585)	Prec@1 39.844 (45.380)	Prec@5 74.219 (75.940)
Epoch: [59][7300/14090]	Time 0.720 (0.769)	Data 0.001 (0.002)	Loss 2.2279 (2.1587)	Prec@1 40.625 (45.376)	Prec@5 75.781 (75.938)
Epoch: [59][7310/14090]	Time 0.763 (0.769)	Data 0.001 (0.002)	Loss 1.9877 (2.1585)	Prec@1 53.125 (45.379)	Prec@5 77.344 (75.940)
Epoch: [59][7320/14090]	Time 0.750 (0.769)	Data 0.001 (0.002)	Loss 2.3460 (2.1586)	Prec@1 40.625 (45.379)	Prec@5 75.000 (75.938)
Epoch: [59][7330/14090]	Time 0.773 (0.769)	Data 0.001 (0.002)	Loss 2.0164 (2.1586)	Prec@1 47.656 (45.377)	Prec@5 78.125 (75.937)
Epoch: [59][7340/14090]	Time 0.884 (0.769)	Data 0.001 (0.002)	Loss 2.4639 (2.1587)	Prec@1 33.594 (45.376)	Prec@5 76.562 (75.935)
Epoch: [59][7350/14090]	Time 0.732 (0.769)	Data 0.001 (0.002)	Loss 2.2857 (2.1587)	Prec@1 43.750 (45.375)	Prec@5 71.875 (75.935)
Epoch: [59][7360/14090]	Time 0.764 (0.768)	Data 0.001 (0.002)	Loss 2.3572 (2.1587)	Prec@1 39.062 (45.375)	Prec@5 68.750 (75.935)
Epoch: [59][7370/14090]	Time 0.733 (0.769)	Data 0.001 (0.002)	Loss 2.2138 (2.1587)	Prec@1 41.406 (45.372)	Prec@5 75.781 (75.935)
Epoch: [59][7380/14090]	Time 0.762 (0.769)	Data 0.001 (0.002)	Loss 2.2489 (2.1588)	Prec@1 42.969 (45.371)	Prec@5 78.125 (75.933)
Epoch: [59][7390/14090]	Time 0.740 (0.769)	Data 0.001 (0.002)	Loss 2.1977 (2.1588)	Prec@1 41.406 (45.370)	Prec@5 78.906 (75.935)
Epoch: [59][7400/14090]	Time 0.736 (0.768)	Data 0.001 (0.002)	Loss 2.2137 (2.1587)	Prec@1 44.531 (45.371)	Prec@5 71.094 (75.936)
Epoch: [59][7410/14090]	Time 0.840 (0.768)	Data 0.001 (0.002)	Loss 1.9364 (2.1588)	Prec@1 51.562 (45.370)	Prec@5 76.562 (75.934)
Epoch: [59][7420/14090]	Time 0.726 (0.768)	Data 0.001 (0.002)	Loss 2.1326 (2.1588)	Prec@1 42.188 (45.368)	Prec@5 74.219 (75.933)
Epoch: [59][7430/14090]	Time 0.765 (0.768)	Data 0.001 (0.002)	Loss 2.1818 (2.1588)	Prec@1 43.750 (45.367)	Prec@5 77.344 (75.935)
Epoch: [59][7440/14090]	Time 0.744 (0.768)	Data 0.001 (0.002)	Loss 1.9339 (2.1588)	Prec@1 45.312 (45.366)	Prec@5 85.156 (75.937)
Epoch: [59][7450/14090]	Time 0.738 (0.768)	Data 0.001 (0.002)	Loss 1.8757 (2.1587)	Prec@1 51.562 (45.367)	Prec@5 79.688 (75.937)
Epoch: [59][7460/14090]	Time 0.738 (0.768)	Data 0.001 (0.002)	Loss 2.1144 (2.1588)	Prec@1 42.188 (45.366)	Prec@5 73.438 (75.937)
Epoch: [59][7470/14090]	Time 0.745 (0.768)	Data 0.001 (0.002)	Loss 2.4123 (2.1588)	Prec@1 38.281 (45.365)	Prec@5 71.094 (75.936)
Epoch: [59][7480/14090]	Time 0.838 (0.768)	Data 0.001 (0.002)	Loss 1.9777 (2.1588)	Prec@1 46.094 (45.366)	Prec@5 78.125 (75.936)
Epoch: [59][7490/14090]	Time 0.768 (0.768)	Data 0.001 (0.002)	Loss 2.3590 (2.1588)	Prec@1 45.312 (45.368)	Prec@5 76.562 (75.937)
Epoch: [59][7500/14090]	Time 0.729 (0.768)	Data 0.001 (0.002)	Loss 2.2428 (2.1588)	Prec@1 46.094 (45.367)	Prec@5 74.219 (75.939)
Epoch: [59][7510/14090]	Time 0.752 (0.768)	Data 0.001 (0.002)	Loss 1.9924 (2.1589)	Prec@1 50.000 (45.369)	Prec@5 78.125 (75.939)
Epoch: [59][7520/14090]	Time 0.782 (0.768)	Data 0.001 (0.002)	Loss 2.1464 (2.1588)	Prec@1 46.875 (45.372)	Prec@5 72.656 (75.938)
Epoch: [59][7530/14090]	Time 0.757 (0.768)	Data 0.001 (0.002)	Loss 1.9455 (2.1588)	Prec@1 49.219 (45.372)	Prec@5 80.469 (75.938)
Epoch: [59][7540/14090]	Time 0.754 (0.768)	Data 0.001 (0.002)	Loss 2.1380 (2.1587)	Prec@1 44.531 (45.373)	Prec@5 71.875 (75.939)
Epoch: [59][7550/14090]	Time 0.871 (0.768)	Data 0.001 (0.002)	Loss 2.2384 (2.1588)	Prec@1 45.312 (45.371)	Prec@5 73.438 (75.938)
Epoch: [59][7560/14090]	Time 0.783 (0.768)	Data 0.001 (0.002)	Loss 2.1904 (2.1587)	Prec@1 44.531 (45.372)	Prec@5 79.688 (75.938)
Epoch: [59][7570/14090]	Time 0.736 (0.768)	Data 0.001 (0.002)	Loss 2.2083 (2.1588)	Prec@1 44.531 (45.372)	Prec@5 71.094 (75.936)
Epoch: [59][7580/14090]	Time 0.743 (0.768)	Data 0.001 (0.002)	Loss 2.1855 (2.1587)	Prec@1 44.531 (45.372)	Prec@5 71.875 (75.937)
Epoch: [59][7590/14090]	Time 0.759 (0.768)	Data 0.001 (0.002)	Loss 2.1783 (2.1588)	Prec@1 39.844 (45.370)	Prec@5 79.688 (75.937)
Epoch: [59][7600/14090]	Time 0.731 (0.768)	Data 0.001 (0.002)	Loss 2.2269 (2.1588)	Prec@1 48.438 (45.372)	Prec@5 72.656 (75.937)
Epoch: [59][7610/14090]	Time 0.752 (0.768)	Data 0.001 (0.002)	Loss 2.0159 (2.1588)	Prec@1 47.656 (45.374)	Prec@5 79.688 (75.935)
Epoch: [59][7620/14090]	Time 0.853 (0.768)	Data 0.001 (0.002)	Loss 2.5844 (2.1589)	Prec@1 37.500 (45.371)	Prec@5 69.531 (75.934)
Epoch: [59][7630/14090]	Time 0.745 (0.768)	Data 0.001 (0.002)	Loss 2.2502 (2.1590)	Prec@1 43.750 (45.370)	Prec@5 73.438 (75.935)
Epoch: [59][7640/14090]	Time 0.735 (0.768)	Data 0.001 (0.002)	Loss 2.1145 (2.1590)	Prec@1 46.094 (45.370)	Prec@5 78.125 (75.934)
Epoch: [59][7650/14090]	Time 0.747 (0.768)	Data 0.001 (0.002)	Loss 2.0646 (2.1590)	Prec@1 48.438 (45.370)	Prec@5 76.562 (75.935)
Epoch: [59][7660/14090]	Time 0.758 (0.768)	Data 0.001 (0.002)	Loss 2.1887 (2.1590)	Prec@1 42.969 (45.370)	Prec@5 75.000 (75.936)
Epoch: [59][7670/14090]	Time 0.757 (0.768)	Data 0.001 (0.002)	Loss 2.2428 (2.1590)	Prec@1 39.062 (45.370)	Prec@5 75.781 (75.937)
Epoch: [59][7680/14090]	Time 0.773 (0.768)	Data 0.001 (0.002)	Loss 2.2403 (2.1590)	Prec@1 43.750 (45.369)	Prec@5 74.219 (75.935)
Epoch: [59][7690/14090]	Time 0.882 (0.768)	Data 0.001 (0.002)	Loss 2.0003 (2.1590)	Prec@1 48.438 (45.369)	Prec@5 77.344 (75.938)
Epoch: [59][7700/14090]	Time 0.744 (0.768)	Data 0.001 (0.002)	Loss 2.2464 (2.1591)	Prec@1 44.531 (45.368)	Prec@5 73.438 (75.936)
Epoch: [59][7710/14090]	Time 0.727 (0.768)	Data 0.001 (0.002)	Loss 2.0733 (2.1590)	Prec@1 47.656 (45.372)	Prec@5 75.781 (75.934)
Epoch: [59][7720/14090]	Time 0.759 (0.768)	Data 0.001 (0.002)	Loss 2.1987 (2.1591)	Prec@1 48.438 (45.373)	Prec@5 72.656 (75.935)
Epoch: [59][7730/14090]	Time 0.729 (0.768)	Data 0.001 (0.002)	Loss 2.2425 (2.1591)	Prec@1 44.531 (45.373)	Prec@5 81.250 (75.936)
Epoch: [59][7740/14090]	Time 0.726 (0.768)	Data 0.001 (0.002)	Loss 1.9682 (2.1591)	Prec@1 48.438 (45.370)	Prec@5 81.250 (75.936)
Epoch: [59][7750/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 2.4432 (2.1592)	Prec@1 42.969 (45.370)	Prec@5 65.625 (75.933)
Epoch: [59][7760/14090]	Time 0.890 (0.768)	Data 0.001 (0.002)	Loss 2.0354 (2.1592)	Prec@1 49.219 (45.370)	Prec@5 75.000 (75.932)
Epoch: [59][7770/14090]	Time 0.737 (0.768)	Data 0.001 (0.002)	Loss 2.0056 (2.1593)	Prec@1 48.438 (45.367)	Prec@5 77.344 (75.931)
Epoch: [59][7780/14090]	Time 0.763 (0.768)	Data 0.001 (0.002)	Loss 2.2514 (2.1593)	Prec@1 43.750 (45.367)	Prec@5 78.125 (75.933)
Epoch: [59][7790/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 1.9828 (2.1594)	Prec@1 47.656 (45.364)	Prec@5 77.344 (75.930)
Epoch: [59][7800/14090]	Time 0.750 (0.768)	Data 0.001 (0.002)	Loss 1.9756 (2.1594)	Prec@1 50.000 (45.364)	Prec@5 78.906 (75.930)
Epoch: [59][7810/14090]	Time 0.775 (0.768)	Data 0.001 (0.002)	Loss 2.0552 (2.1594)	Prec@1 48.438 (45.365)	Prec@5 75.781 (75.929)
Epoch: [59][7820/14090]	Time 0.770 (0.768)	Data 0.001 (0.002)	Loss 2.1377 (2.1593)	Prec@1 41.406 (45.367)	Prec@5 76.562 (75.931)
Epoch: [59][7830/14090]	Time 0.844 (0.768)	Data 0.001 (0.002)	Loss 2.2831 (2.1594)	Prec@1 42.969 (45.363)	Prec@5 70.312 (75.929)
Epoch: [59][7840/14090]	Time 0.723 (0.768)	Data 0.001 (0.002)	Loss 1.8986 (2.1593)	Prec@1 55.469 (45.365)	Prec@5 78.906 (75.931)
Epoch: [59][7850/14090]	Time 0.730 (0.768)	Data 0.001 (0.002)	Loss 2.2603 (2.1593)	Prec@1 43.750 (45.366)	Prec@5 70.312 (75.933)
Epoch: [59][7860/14090]	Time 0.753 (0.768)	Data 0.001 (0.002)	Loss 2.4156 (2.1593)	Prec@1 34.375 (45.364)	Prec@5 76.562 (75.933)
Epoch: [59][7870/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 2.0372 (2.1593)	Prec@1 52.344 (45.364)	Prec@5 75.000 (75.935)
Epoch: [59][7880/14090]	Time 0.756 (0.768)	Data 0.001 (0.002)	Loss 2.0967 (2.1594)	Prec@1 45.312 (45.361)	Prec@5 75.000 (75.930)
Epoch: [59][7890/14090]	Time 0.776 (0.768)	Data 0.001 (0.002)	Loss 1.9295 (2.1594)	Prec@1 49.219 (45.361)	Prec@5 82.031 (75.931)
Epoch: [59][7900/14090]	Time 0.881 (0.768)	Data 0.001 (0.002)	Loss 2.2997 (2.1594)	Prec@1 35.938 (45.358)	Prec@5 77.344 (75.932)
Epoch: [59][7910/14090]	Time 0.734 (0.768)	Data 0.001 (0.002)	Loss 2.0108 (2.1593)	Prec@1 45.312 (45.358)	Prec@5 82.031 (75.934)
Epoch: [59][7920/14090]	Time 0.758 (0.768)	Data 0.001 (0.002)	Loss 2.3002 (2.1594)	Prec@1 39.062 (45.356)	Prec@5 75.000 (75.932)
Epoch: [59][7930/14090]	Time 0.737 (0.768)	Data 0.001 (0.002)	Loss 2.3898 (2.1595)	Prec@1 43.750 (45.356)	Prec@5 72.656 (75.930)
Epoch: [59][7940/14090]	Time 0.770 (0.768)	Data 0.001 (0.002)	Loss 2.1328 (2.1595)	Prec@1 50.000 (45.356)	Prec@5 77.344 (75.930)
Epoch: [59][7950/14090]	Time 0.739 (0.768)	Data 0.001 (0.002)	Loss 2.4786 (2.1595)	Prec@1 39.062 (45.359)	Prec@5 68.750 (75.931)
Epoch: [59][7960/14090]	Time 0.781 (0.768)	Data 0.001 (0.002)	Loss 2.2014 (2.1595)	Prec@1 46.094 (45.359)	Prec@5 74.219 (75.930)
Epoch: [59][7970/14090]	Time 0.846 (0.768)	Data 0.001 (0.002)	Loss 1.9981 (2.1595)	Prec@1 53.125 (45.361)	Prec@5 78.125 (75.932)
Epoch: [59][7980/14090]	Time 0.753 (0.768)	Data 0.001 (0.002)	Loss 2.1278 (2.1595)	Prec@1 44.531 (45.360)	Prec@5 76.562 (75.931)
Epoch: [59][7990/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 1.9246 (2.1595)	Prec@1 47.656 (45.357)	Prec@5 78.125 (75.930)
Epoch: [59][8000/14090]	Time 0.788 (0.768)	Data 0.001 (0.002)	Loss 2.3223 (2.1595)	Prec@1 39.844 (45.357)	Prec@5 72.656 (75.931)
Epoch: [59][8010/14090]	Time 0.744 (0.768)	Data 0.001 (0.002)	Loss 1.9658 (2.1595)	Prec@1 43.750 (45.355)	Prec@5 78.906 (75.931)
Epoch: [59][8020/14090]	Time 0.762 (0.768)	Data 0.001 (0.002)	Loss 2.3652 (2.1595)	Prec@1 35.938 (45.356)	Prec@5 75.781 (75.931)
Epoch: [59][8030/14090]	Time 0.759 (0.768)	Data 0.001 (0.002)	Loss 2.1941 (2.1596)	Prec@1 43.750 (45.354)	Prec@5 72.656 (75.930)
Epoch: [59][8040/14090]	Time 0.871 (0.768)	Data 0.001 (0.002)	Loss 2.1203 (2.1597)	Prec@1 42.969 (45.353)	Prec@5 77.344 (75.929)
Epoch: [59][8050/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 2.2829 (2.1598)	Prec@1 39.844 (45.353)	Prec@5 75.000 (75.927)
Epoch: [59][8060/14090]	Time 0.781 (0.768)	Data 0.001 (0.002)	Loss 2.0017 (2.1599)	Prec@1 47.656 (45.352)	Prec@5 75.781 (75.925)
Epoch: [59][8070/14090]	Time 0.743 (0.768)	Data 0.001 (0.002)	Loss 2.2021 (2.1599)	Prec@1 40.625 (45.352)	Prec@5 75.781 (75.925)
Epoch: [59][8080/14090]	Time 0.741 (0.768)	Data 0.001 (0.002)	Loss 2.4327 (2.1600)	Prec@1 39.844 (45.350)	Prec@5 70.312 (75.922)
Epoch: [59][8090/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 2.1836 (2.1600)	Prec@1 45.312 (45.350)	Prec@5 71.875 (75.921)
Epoch: [59][8100/14090]	Time 0.765 (0.768)	Data 0.003 (0.002)	Loss 2.2049 (2.1600)	Prec@1 45.312 (45.348)	Prec@5 75.781 (75.921)
Epoch: [59][8110/14090]	Time 0.842 (0.768)	Data 0.001 (0.002)	Loss 2.4589 (2.1601)	Prec@1 46.875 (45.347)	Prec@5 70.312 (75.920)
Epoch: [59][8120/14090]	Time 0.739 (0.768)	Data 0.001 (0.002)	Loss 1.9514 (2.1601)	Prec@1 47.656 (45.344)	Prec@5 78.125 (75.921)
Epoch: [59][8130/14090]	Time 0.752 (0.768)	Data 0.001 (0.002)	Loss 2.3332 (2.1601)	Prec@1 45.312 (45.344)	Prec@5 70.312 (75.922)
Epoch: [59][8140/14090]	Time 0.780 (0.768)	Data 0.001 (0.002)	Loss 2.3608 (2.1602)	Prec@1 42.188 (45.343)	Prec@5 70.312 (75.920)
Epoch: [59][8150/14090]	Time 0.724 (0.768)	Data 0.001 (0.002)	Loss 2.0397 (2.1602)	Prec@1 48.438 (45.344)	Prec@5 78.125 (75.919)
Epoch: [59][8160/14090]	Time 0.752 (0.768)	Data 0.001 (0.002)	Loss 2.0187 (2.1601)	Prec@1 39.844 (45.343)	Prec@5 78.125 (75.919)
Epoch: [59][8170/14090]	Time 0.764 (0.768)	Data 0.001 (0.002)	Loss 2.1506 (2.1601)	Prec@1 47.656 (45.344)	Prec@5 76.562 (75.920)
Epoch: [59][8180/14090]	Time 0.867 (0.768)	Data 0.001 (0.002)	Loss 2.1237 (2.1600)	Prec@1 45.312 (45.346)	Prec@5 76.562 (75.922)
Epoch: [59][8190/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 1.9193 (2.1599)	Prec@1 50.781 (45.344)	Prec@5 82.812 (75.925)
Epoch: [59][8200/14090]	Time 0.741 (0.768)	Data 0.001 (0.001)	Loss 2.1504 (2.1600)	Prec@1 46.094 (45.344)	Prec@5 78.125 (75.923)
Epoch: [59][8210/14090]	Time 0.769 (0.768)	Data 0.001 (0.001)	Loss 1.9708 (2.1599)	Prec@1 48.438 (45.345)	Prec@5 80.469 (75.924)
Epoch: [59][8220/14090]	Time 0.766 (0.768)	Data 0.001 (0.001)	Loss 2.4777 (2.1600)	Prec@1 42.188 (45.344)	Prec@5 72.656 (75.923)
Epoch: [59][8230/14090]	Time 0.737 (0.768)	Data 0.001 (0.001)	Loss 2.0741 (2.1600)	Prec@1 51.562 (45.343)	Prec@5 76.562 (75.924)
Epoch: [59][8240/14090]	Time 0.781 (0.768)	Data 0.001 (0.001)	Loss 2.4829 (2.1599)	Prec@1 39.062 (45.344)	Prec@5 70.312 (75.924)
Epoch: [59][8250/14090]	Time 0.869 (0.768)	Data 0.001 (0.001)	Loss 2.1005 (2.1599)	Prec@1 46.094 (45.346)	Prec@5 77.344 (75.925)
Epoch: [59][8260/14090]	Time 0.747 (0.768)	Data 0.003 (0.001)	Loss 1.9083 (2.1599)	Prec@1 53.125 (45.345)	Prec@5 78.906 (75.927)
Epoch: [59][8270/14090]	Time 0.732 (0.768)	Data 0.001 (0.001)	Loss 2.2055 (2.1599)	Prec@1 40.625 (45.345)	Prec@5 73.438 (75.925)
Epoch: [59][8280/14090]	Time 0.773 (0.768)	Data 0.001 (0.001)	Loss 1.9267 (2.1599)	Prec@1 53.125 (45.346)	Prec@5 80.469 (75.926)
Epoch: [59][8290/14090]	Time 0.749 (0.768)	Data 0.001 (0.001)	Loss 2.3870 (2.1600)	Prec@1 34.375 (45.345)	Prec@5 71.875 (75.924)
Epoch: [59][8300/14090]	Time 0.759 (0.768)	Data 0.001 (0.001)	Loss 2.4730 (2.1601)	Prec@1 42.969 (45.343)	Prec@5 71.094 (75.922)
Epoch: [59][8310/14090]	Time 0.781 (0.768)	Data 0.001 (0.001)	Loss 2.2723 (2.1600)	Prec@1 42.969 (45.345)	Prec@5 76.562 (75.924)
Epoch: [59][8320/14090]	Time 0.886 (0.768)	Data 0.001 (0.001)	Loss 2.4320 (2.1601)	Prec@1 40.625 (45.343)	Prec@5 71.094 (75.922)
Epoch: [59][8330/14090]	Time 0.729 (0.768)	Data 0.001 (0.001)	Loss 1.8193 (2.1600)	Prec@1 55.469 (45.347)	Prec@5 81.250 (75.923)
Epoch: [59][8340/14090]	Time 0.742 (0.768)	Data 0.001 (0.001)	Loss 2.0178 (2.1599)	Prec@1 49.219 (45.348)	Prec@5 82.031 (75.925)
Epoch: [59][8350/14090]	Time 0.741 (0.768)	Data 0.001 (0.001)	Loss 2.0611 (2.1600)	Prec@1 46.875 (45.347)	Prec@5 77.344 (75.924)
Epoch: [59][8360/14090]	Time 0.765 (0.768)	Data 0.001 (0.001)	Loss 2.0277 (2.1599)	Prec@1 48.438 (45.349)	Prec@5 80.469 (75.927)
Epoch: [59][8370/14090]	Time 0.734 (0.768)	Data 0.001 (0.001)	Loss 2.1455 (2.1599)	Prec@1 44.531 (45.347)	Prec@5 75.000 (75.928)
Epoch: [59][8380/14090]	Time 0.750 (0.768)	Data 0.001 (0.001)	Loss 2.0715 (2.1600)	Prec@1 42.188 (45.346)	Prec@5 79.688 (75.926)
Epoch: [59][8390/14090]	Time 0.883 (0.768)	Data 0.001 (0.001)	Loss 2.2610 (2.1600)	Prec@1 45.312 (45.347)	Prec@5 71.094 (75.925)
Epoch: [59][8400/14090]	Time 0.737 (0.768)	Data 0.001 (0.001)	Loss 2.1183 (2.1600)	Prec@1 40.625 (45.346)	Prec@5 76.562 (75.926)
Epoch: [59][8410/14090]	Time 0.740 (0.768)	Data 0.001 (0.001)	Loss 1.9663 (2.1600)	Prec@1 49.219 (45.346)	Prec@5 77.344 (75.929)
Epoch: [59][8420/14090]	Time 0.750 (0.768)	Data 0.001 (0.001)	Loss 2.2219 (2.1599)	Prec@1 49.219 (45.346)	Prec@5 77.344 (75.931)
Epoch: [59][8430/14090]	Time 0.754 (0.768)	Data 0.001 (0.001)	Loss 2.1209 (2.1600)	Prec@1 47.656 (45.344)	Prec@5 76.562 (75.931)
Epoch: [59][8440/14090]	Time 0.735 (0.768)	Data 0.001 (0.001)	Loss 2.0611 (2.1598)	Prec@1 49.219 (45.347)	Prec@5 80.469 (75.935)
Epoch: [59][8450/14090]	Time 0.748 (0.768)	Data 0.001 (0.001)	Loss 1.9620 (2.1598)	Prec@1 52.344 (45.348)	Prec@5 78.906 (75.935)
Epoch: [59][8460/14090]	Time 0.882 (0.768)	Data 0.001 (0.001)	Loss 2.0989 (2.1598)	Prec@1 50.000 (45.347)	Prec@5 78.906 (75.936)
Epoch: [59][8470/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 2.2122 (2.1599)	Prec@1 42.188 (45.346)	Prec@5 74.219 (75.936)
Epoch: [59][8480/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 2.1481 (2.1598)	Prec@1 45.312 (45.347)	Prec@5 75.000 (75.938)
Epoch: [59][8490/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 2.0514 (2.1599)	Prec@1 44.531 (45.346)	Prec@5 78.906 (75.935)
Epoch: [59][8500/14090]	Time 0.807 (0.768)	Data 0.001 (0.001)	Loss 2.3357 (2.1600)	Prec@1 40.625 (45.344)	Prec@5 73.438 (75.933)
Epoch: [59][8510/14090]	Time 0.744 (0.768)	Data 0.001 (0.001)	Loss 2.4870 (2.1601)	Prec@1 34.375 (45.343)	Prec@5 66.406 (75.931)
Epoch: [59][8520/14090]	Time 0.772 (0.768)	Data 0.001 (0.001)	Loss 1.9691 (2.1600)	Prec@1 48.438 (45.345)	Prec@5 77.344 (75.933)
Epoch: [59][8530/14090]	Time 0.838 (0.768)	Data 0.001 (0.001)	Loss 2.2448 (2.1599)	Prec@1 46.875 (45.348)	Prec@5 72.656 (75.935)
Epoch: [59][8540/14090]	Time 0.748 (0.768)	Data 0.001 (0.001)	Loss 2.1009 (2.1599)	Prec@1 46.875 (45.350)	Prec@5 78.125 (75.936)
Epoch: [59][8550/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 2.0502 (2.1599)	Prec@1 51.562 (45.351)	Prec@5 77.344 (75.936)
Epoch: [59][8560/14090]	Time 0.728 (0.768)	Data 0.001 (0.001)	Loss 2.1501 (2.1599)	Prec@1 48.438 (45.349)	Prec@5 77.344 (75.935)
Epoch: [59][8570/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 2.2175 (2.1599)	Prec@1 39.844 (45.352)	Prec@5 77.344 (75.937)
Epoch: [59][8580/14090]	Time 0.764 (0.768)	Data 0.001 (0.001)	Loss 2.0232 (2.1598)	Prec@1 50.000 (45.353)	Prec@5 81.250 (75.939)
Epoch: [59][8590/14090]	Time 0.758 (0.768)	Data 0.001 (0.001)	Loss 2.2444 (2.1598)	Prec@1 40.625 (45.353)	Prec@5 71.875 (75.938)
Epoch: [59][8600/14090]	Time 0.853 (0.768)	Data 0.001 (0.001)	Loss 2.2644 (2.1598)	Prec@1 43.750 (45.353)	Prec@5 77.344 (75.938)
Epoch: [59][8610/14090]	Time 0.730 (0.768)	Data 0.001 (0.001)	Loss 2.0680 (2.1597)	Prec@1 46.875 (45.355)	Prec@5 75.781 (75.939)
Epoch: [59][8620/14090]	Time 0.764 (0.768)	Data 0.001 (0.001)	Loss 2.0771 (2.1596)	Prec@1 47.656 (45.357)	Prec@5 75.000 (75.941)
Epoch: [59][8630/14090]	Time 0.755 (0.768)	Data 0.001 (0.001)	Loss 2.1339 (2.1596)	Prec@1 46.875 (45.358)	Prec@5 75.781 (75.941)
Epoch: [59][8640/14090]	Time 0.766 (0.768)	Data 0.001 (0.001)	Loss 2.3671 (2.1596)	Prec@1 39.062 (45.359)	Prec@5 73.438 (75.940)
Epoch: [59][8650/14090]	Time 0.756 (0.768)	Data 0.001 (0.001)	Loss 2.2623 (2.1597)	Prec@1 44.531 (45.357)	Prec@5 74.219 (75.938)
Epoch: [59][8660/14090]	Time 0.760 (0.768)	Data 0.001 (0.001)	Loss 2.2970 (2.1598)	Prec@1 45.312 (45.355)	Prec@5 71.094 (75.935)
Epoch: [59][8670/14090]	Time 0.859 (0.768)	Data 0.001 (0.001)	Loss 2.2127 (2.1598)	Prec@1 39.062 (45.354)	Prec@5 72.656 (75.934)
Epoch: [59][8680/14090]	Time 0.750 (0.768)	Data 0.001 (0.001)	Loss 2.3952 (2.1598)	Prec@1 42.188 (45.354)	Prec@5 77.344 (75.934)
Epoch: [59][8690/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 2.0303 (2.1598)	Prec@1 44.531 (45.353)	Prec@5 82.812 (75.936)
Epoch: [59][8700/14090]	Time 0.765 (0.768)	Data 0.001 (0.001)	Loss 2.3353 (2.1598)	Prec@1 39.844 (45.354)	Prec@5 70.312 (75.934)
Epoch: [59][8710/14090]	Time 0.775 (0.768)	Data 0.001 (0.001)	Loss 2.1819 (2.1598)	Prec@1 48.438 (45.353)	Prec@5 75.781 (75.933)
Epoch: [59][8720/14090]	Time 0.746 (0.768)	Data 0.001 (0.001)	Loss 2.0483 (2.1598)	Prec@1 49.219 (45.355)	Prec@5 75.781 (75.934)
Epoch: [59][8730/14090]	Time 0.787 (0.768)	Data 0.001 (0.001)	Loss 2.1568 (2.1598)	Prec@1 47.656 (45.355)	Prec@5 74.219 (75.937)
Epoch: [59][8740/14090]	Time 0.874 (0.768)	Data 0.001 (0.001)	Loss 2.1479 (2.1598)	Prec@1 52.344 (45.354)	Prec@5 76.562 (75.938)
Epoch: [59][8750/14090]	Time 0.780 (0.768)	Data 0.001 (0.001)	Loss 2.2113 (2.1598)	Prec@1 49.219 (45.354)	Prec@5 72.656 (75.936)
Epoch: [59][8760/14090]	Time 0.723 (0.768)	Data 0.001 (0.001)	Loss 1.9136 (2.1598)	Prec@1 50.781 (45.354)	Prec@5 80.469 (75.936)
Epoch: [59][8770/14090]	Time 0.751 (0.768)	Data 0.001 (0.001)	Loss 2.1242 (2.1598)	Prec@1 45.312 (45.352)	Prec@5 83.594 (75.938)
Epoch: [59][8780/14090]	Time 0.734 (0.768)	Data 0.001 (0.001)	Loss 2.1588 (2.1598)	Prec@1 38.281 (45.352)	Prec@5 75.000 (75.939)
Epoch: [59][8790/14090]	Time 0.750 (0.768)	Data 0.001 (0.001)	Loss 2.1025 (2.1599)	Prec@1 49.219 (45.352)	Prec@5 75.781 (75.939)
Epoch: [59][8800/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 2.3565 (2.1599)	Prec@1 44.531 (45.351)	Prec@5 74.219 (75.940)
Epoch: [59][8810/14090]	Time 0.840 (0.768)	Data 0.001 (0.001)	Loss 1.8893 (2.1598)	Prec@1 52.344 (45.354)	Prec@5 81.250 (75.942)
Epoch: [59][8820/14090]	Time 0.765 (0.768)	Data 0.001 (0.001)	Loss 2.3448 (2.1598)	Prec@1 44.531 (45.355)	Prec@5 71.094 (75.942)
Epoch: [59][8830/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 2.0729 (2.1598)	Prec@1 43.750 (45.355)	Prec@5 79.688 (75.942)
Epoch: [59][8840/14090]	Time 0.747 (0.768)	Data 0.001 (0.001)	Loss 2.2322 (2.1598)	Prec@1 45.312 (45.355)	Prec@5 74.219 (75.942)
Epoch: [59][8850/14090]	Time 0.775 (0.768)	Data 0.001 (0.001)	Loss 2.2926 (2.1598)	Prec@1 45.312 (45.357)	Prec@5 75.000 (75.942)
Epoch: [59][8860/14090]	Time 0.765 (0.768)	Data 0.001 (0.001)	Loss 2.1085 (2.1598)	Prec@1 43.750 (45.357)	Prec@5 76.562 (75.941)
Epoch: [59][8870/14090]	Time 0.784 (0.768)	Data 0.001 (0.001)	Loss 2.2421 (2.1599)	Prec@1 36.719 (45.355)	Prec@5 74.219 (75.939)
Epoch: [59][8880/14090]	Time 0.830 (0.768)	Data 0.001 (0.001)	Loss 2.1735 (2.1600)	Prec@1 44.531 (45.354)	Prec@5 74.219 (75.938)
Epoch: [59][8890/14090]	Time 0.732 (0.768)	Data 0.001 (0.001)	Loss 2.1271 (2.1600)	Prec@1 41.406 (45.354)	Prec@5 80.469 (75.939)
Epoch: [59][8900/14090]	Time 0.734 (0.768)	Data 0.001 (0.001)	Loss 2.1592 (2.1600)	Prec@1 40.625 (45.353)	Prec@5 75.000 (75.937)
Epoch: [59][8910/14090]	Time 0.735 (0.768)	Data 0.001 (0.001)	Loss 2.3875 (2.1601)	Prec@1 47.656 (45.353)	Prec@5 65.625 (75.935)
Epoch: [59][8920/14090]	Time 0.749 (0.768)	Data 0.001 (0.001)	Loss 2.1258 (2.1601)	Prec@1 43.750 (45.351)	Prec@5 76.562 (75.935)
Epoch: [59][8930/14090]	Time 0.765 (0.768)	Data 0.001 (0.001)	Loss 2.1539 (2.1600)	Prec@1 43.750 (45.355)	Prec@5 80.469 (75.936)
Epoch: [59][8940/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 2.2233 (2.1601)	Prec@1 46.094 (45.352)	Prec@5 77.344 (75.934)
Epoch: [59][8950/14090]	Time 0.870 (0.768)	Data 0.001 (0.001)	Loss 2.2037 (2.1601)	Prec@1 42.969 (45.350)	Prec@5 77.344 (75.935)
Epoch: [59][8960/14090]	Time 0.737 (0.768)	Data 0.001 (0.001)	Loss 2.2978 (2.1602)	Prec@1 49.219 (45.349)	Prec@5 75.781 (75.934)
Epoch: [59][8970/14090]	Time 0.748 (0.768)	Data 0.001 (0.001)	Loss 2.3182 (2.1603)	Prec@1 44.531 (45.346)	Prec@5 75.000 (75.933)
Epoch: [59][8980/14090]	Time 0.759 (0.768)	Data 0.001 (0.001)	Loss 2.1749 (2.1604)	Prec@1 49.219 (45.347)	Prec@5 76.562 (75.933)
Epoch: [59][8990/14090]	Time 0.760 (0.768)	Data 0.001 (0.001)	Loss 2.0400 (2.1604)	Prec@1 48.438 (45.346)	Prec@5 76.562 (75.934)
Epoch: [59][9000/14090]	Time 0.756 (0.768)	Data 0.001 (0.001)	Loss 2.3276 (2.1604)	Prec@1 40.625 (45.345)	Prec@5 75.781 (75.933)
Epoch: [59][9010/14090]	Time 0.785 (0.768)	Data 0.001 (0.001)	Loss 2.0679 (2.1604)	Prec@1 46.875 (45.345)	Prec@5 74.219 (75.933)
Epoch: [59][9020/14090]	Time 0.897 (0.768)	Data 0.001 (0.001)	Loss 2.3242 (2.1604)	Prec@1 44.531 (45.345)	Prec@5 69.531 (75.932)
Epoch: [59][9030/14090]	Time 0.729 (0.768)	Data 0.001 (0.001)	Loss 2.0231 (2.1604)	Prec@1 41.406 (45.343)	Prec@5 75.781 (75.932)
Epoch: [59][9040/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 1.8604 (2.1604)	Prec@1 51.562 (45.342)	Prec@5 80.469 (75.932)
Epoch: [59][9050/14090]	Time 0.729 (0.768)	Data 0.001 (0.001)	Loss 2.0139 (2.1604)	Prec@1 51.562 (45.342)	Prec@5 76.562 (75.931)
Epoch: [59][9060/14090]	Time 0.733 (0.768)	Data 0.001 (0.001)	Loss 1.9937 (2.1604)	Prec@1 45.312 (45.343)	Prec@5 78.125 (75.932)
Epoch: [59][9070/14090]	Time 0.742 (0.768)	Data 0.001 (0.001)	Loss 2.1468 (2.1604)	Prec@1 44.531 (45.342)	Prec@5 79.688 (75.934)
Epoch: [59][9080/14090]	Time 0.743 (0.768)	Data 0.001 (0.001)	Loss 2.1383 (2.1605)	Prec@1 42.969 (45.339)	Prec@5 75.781 (75.933)
Epoch: [59][9090/14090]	Time 0.841 (0.768)	Data 0.001 (0.001)	Loss 2.2202 (2.1605)	Prec@1 42.969 (45.339)	Prec@5 75.781 (75.932)
Epoch: [59][9100/14090]	Time 0.745 (0.768)	Data 0.001 (0.001)	Loss 1.9862 (2.1606)	Prec@1 55.469 (45.339)	Prec@5 76.562 (75.930)
Epoch: [59][9110/14090]	Time 0.761 (0.768)	Data 0.001 (0.001)	Loss 1.9960 (2.1605)	Prec@1 48.438 (45.340)	Prec@5 75.000 (75.930)
Epoch: [59][9120/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 1.8329 (2.1607)	Prec@1 46.094 (45.338)	Prec@5 83.594 (75.927)
Epoch: [59][9130/14090]	Time 0.735 (0.768)	Data 0.001 (0.001)	Loss 1.9969 (2.1606)	Prec@1 44.531 (45.337)	Prec@5 77.344 (75.927)
Epoch: [59][9140/14090]	Time 0.749 (0.768)	Data 0.001 (0.001)	Loss 2.1205 (2.1606)	Prec@1 42.969 (45.337)	Prec@5 78.125 (75.928)
Epoch: [59][9150/14090]	Time 0.775 (0.768)	Data 0.001 (0.001)	Loss 2.2595 (2.1606)	Prec@1 45.312 (45.338)	Prec@5 78.125 (75.929)
Epoch: [59][9160/14090]	Time 0.823 (0.768)	Data 0.001 (0.001)	Loss 2.2807 (2.1606)	Prec@1 37.500 (45.336)	Prec@5 75.781 (75.931)
Epoch: [59][9170/14090]	Time 0.741 (0.768)	Data 0.001 (0.001)	Loss 2.3396 (2.1606)	Prec@1 47.656 (45.336)	Prec@5 74.219 (75.929)
Epoch: [59][9180/14090]	Time 0.742 (0.768)	Data 0.001 (0.001)	Loss 2.1386 (2.1607)	Prec@1 43.750 (45.334)	Prec@5 75.000 (75.928)
Epoch: [59][9190/14090]	Time 0.779 (0.768)	Data 0.001 (0.001)	Loss 2.0041 (2.1606)	Prec@1 50.781 (45.334)	Prec@5 80.469 (75.929)
Epoch: [59][9200/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 2.0613 (2.1606)	Prec@1 45.312 (45.334)	Prec@5 76.562 (75.929)
Epoch: [59][9210/14090]	Time 0.768 (0.768)	Data 0.001 (0.001)	Loss 2.1157 (2.1605)	Prec@1 43.750 (45.336)	Prec@5 78.906 (75.932)
Epoch: [59][9220/14090]	Time 0.772 (0.768)	Data 0.001 (0.001)	Loss 2.0368 (2.1606)	Prec@1 46.875 (45.335)	Prec@5 75.000 (75.929)
Epoch: [59][9230/14090]	Time 0.861 (0.768)	Data 0.001 (0.001)	Loss 2.0739 (2.1607)	Prec@1 42.969 (45.334)	Prec@5 79.688 (75.928)
Epoch: [59][9240/14090]	Time 0.747 (0.768)	Data 0.001 (0.001)	Loss 2.0863 (2.1607)	Prec@1 43.750 (45.334)	Prec@5 75.000 (75.927)
Epoch: [59][9250/14090]	Time 0.782 (0.768)	Data 0.001 (0.001)	Loss 2.3150 (2.1607)	Prec@1 43.750 (45.333)	Prec@5 71.875 (75.925)
Epoch: [59][9260/14090]	Time 0.760 (0.768)	Data 0.001 (0.001)	Loss 1.8878 (2.1606)	Prec@1 50.000 (45.335)	Prec@5 81.250 (75.927)
Epoch: [59][9270/14090]	Time 0.770 (0.768)	Data 0.001 (0.001)	Loss 2.3596 (2.1608)	Prec@1 42.969 (45.333)	Prec@5 71.875 (75.923)
Epoch: [59][9280/14090]	Time 0.745 (0.768)	Data 0.001 (0.001)	Loss 2.2274 (2.1608)	Prec@1 46.094 (45.334)	Prec@5 75.781 (75.925)
Epoch: [59][9290/14090]	Time 0.777 (0.768)	Data 0.001 (0.001)	Loss 2.4263 (2.1608)	Prec@1 43.750 (45.334)	Prec@5 72.656 (75.925)
Epoch: [59][9300/14090]	Time 0.829 (0.768)	Data 0.001 (0.001)	Loss 2.3345 (2.1608)	Prec@1 42.969 (45.334)	Prec@5 72.656 (75.924)
Epoch: [59][9310/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 2.2581 (2.1608)	Prec@1 47.656 (45.334)	Prec@5 74.219 (75.923)
Epoch: [59][9320/14090]	Time 0.754 (0.768)	Data 0.001 (0.001)	Loss 2.2863 (2.1608)	Prec@1 39.062 (45.334)	Prec@5 78.125 (75.924)
Epoch: [59][9330/14090]	Time 0.742 (0.768)	Data 0.001 (0.001)	Loss 2.0911 (2.1609)	Prec@1 48.438 (45.333)	Prec@5 78.125 (75.921)
Epoch: [59][9340/14090]	Time 0.741 (0.768)	Data 0.001 (0.001)	Loss 2.1054 (2.1609)	Prec@1 46.094 (45.334)	Prec@5 78.906 (75.921)
Epoch: [59][9350/14090]	Time 0.729 (0.768)	Data 0.001 (0.001)	Loss 2.4438 (2.1609)	Prec@1 36.719 (45.332)	Prec@5 72.656 (75.921)
Epoch: [59][9360/14090]	Time 0.748 (0.768)	Data 0.001 (0.001)	Loss 2.0646 (2.1609)	Prec@1 46.094 (45.332)	Prec@5 76.562 (75.920)
Epoch: [59][9370/14090]	Time 0.867 (0.768)	Data 0.001 (0.001)	Loss 2.2517 (2.1608)	Prec@1 43.750 (45.333)	Prec@5 73.438 (75.921)
Epoch: [59][9380/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 1.9112 (2.1608)	Prec@1 57.031 (45.334)	Prec@5 80.469 (75.920)
Epoch: [59][9390/14090]	Time 0.732 (0.768)	Data 0.001 (0.001)	Loss 2.1916 (2.1607)	Prec@1 40.625 (45.335)	Prec@5 78.906 (75.922)
Epoch: [59][9400/14090]	Time 0.757 (0.768)	Data 0.001 (0.001)	Loss 2.0314 (2.1607)	Prec@1 51.562 (45.337)	Prec@5 75.781 (75.925)
Epoch: [59][9410/14090]	Time 0.730 (0.768)	Data 0.001 (0.001)	Loss 2.0828 (2.1606)	Prec@1 47.656 (45.338)	Prec@5 77.344 (75.926)
Epoch: [59][9420/14090]	Time 0.753 (0.768)	Data 0.002 (0.001)	Loss 2.4581 (2.1606)	Prec@1 38.281 (45.338)	Prec@5 71.094 (75.925)
Epoch: [59][9430/14090]	Time 0.757 (0.768)	Data 0.001 (0.001)	Loss 2.0722 (2.1606)	Prec@1 45.312 (45.339)	Prec@5 77.344 (75.924)
Epoch: [59][9440/14090]	Time 0.839 (0.768)	Data 0.002 (0.001)	Loss 2.5391 (2.1607)	Prec@1 39.844 (45.339)	Prec@5 67.969 (75.924)
Epoch: [59][9450/14090]	Time 0.777 (0.768)	Data 0.001 (0.001)	Loss 1.9511 (2.1607)	Prec@1 47.656 (45.340)	Prec@5 78.125 (75.924)
Epoch: [59][9460/14090]	Time 0.734 (0.768)	Data 0.001 (0.001)	Loss 2.3388 (2.1606)	Prec@1 48.438 (45.342)	Prec@5 71.875 (75.925)
Epoch: [59][9470/14090]	Time 0.730 (0.768)	Data 0.001 (0.001)	Loss 2.2250 (2.1606)	Prec@1 48.438 (45.341)	Prec@5 74.219 (75.924)
Epoch: [59][9480/14090]	Time 0.733 (0.768)	Data 0.001 (0.001)	Loss 2.0936 (2.1607)	Prec@1 45.312 (45.340)	Prec@5 75.000 (75.923)
Epoch: [59][9490/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 1.9989 (2.1606)	Prec@1 50.781 (45.340)	Prec@5 78.125 (75.925)
Epoch: [59][9500/14090]	Time 0.740 (0.768)	Data 0.001 (0.001)	Loss 1.8408 (2.1606)	Prec@1 55.469 (45.342)	Prec@5 83.594 (75.925)
Epoch: [59][9510/14090]	Time 0.867 (0.768)	Data 0.001 (0.001)	Loss 2.2882 (2.1605)	Prec@1 43.750 (45.342)	Prec@5 75.781 (75.926)
Epoch: [59][9520/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 1.8595 (2.1606)	Prec@1 53.125 (45.340)	Prec@5 80.469 (75.925)
Epoch: [59][9530/14090]	Time 0.748 (0.768)	Data 0.001 (0.001)	Loss 1.9170 (2.1607)	Prec@1 50.781 (45.342)	Prec@5 78.125 (75.924)
Epoch: [59][9540/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 2.3570 (2.1608)	Prec@1 42.969 (45.339)	Prec@5 71.094 (75.921)
Epoch: [59][9550/14090]	Time 0.749 (0.768)	Data 0.001 (0.001)	Loss 2.2408 (2.1608)	Prec@1 42.969 (45.337)	Prec@5 75.781 (75.920)
Epoch: [59][9560/14090]	Time 0.733 (0.768)	Data 0.001 (0.001)	Loss 1.9551 (2.1609)	Prec@1 53.906 (45.339)	Prec@5 78.906 (75.920)
Epoch: [59][9570/14090]	Time 0.770 (0.768)	Data 0.001 (0.001)	Loss 2.2304 (2.1610)	Prec@1 42.188 (45.336)	Prec@5 69.531 (75.917)
Epoch: [59][9580/14090]	Time 0.863 (0.768)	Data 0.001 (0.001)	Loss 2.2406 (2.1609)	Prec@1 42.188 (45.339)	Prec@5 74.219 (75.919)
Epoch: [59][9590/14090]	Time 0.746 (0.768)	Data 0.001 (0.001)	Loss 2.4086 (2.1609)	Prec@1 38.281 (45.337)	Prec@5 74.219 (75.918)
Epoch: [59][9600/14090]	Time 0.743 (0.768)	Data 0.001 (0.001)	Loss 2.0308 (2.1609)	Prec@1 46.094 (45.337)	Prec@5 78.125 (75.916)
Epoch: [59][9610/14090]	Time 0.751 (0.768)	Data 0.001 (0.001)	Loss 2.0609 (2.1610)	Prec@1 51.562 (45.336)	Prec@5 78.125 (75.914)
Epoch: [59][9620/14090]	Time 0.779 (0.768)	Data 0.001 (0.001)	Loss 1.9964 (2.1609)	Prec@1 43.750 (45.337)	Prec@5 79.688 (75.918)
Epoch: [59][9630/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 2.1354 (2.1609)	Prec@1 46.094 (45.337)	Prec@5 76.562 (75.917)
Epoch: [59][9640/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 2.1156 (2.1609)	Prec@1 46.094 (45.338)	Prec@5 74.219 (75.915)
Epoch: [59][9650/14090]	Time 0.864 (0.768)	Data 0.001 (0.001)	Loss 2.2195 (2.1609)	Prec@1 46.875 (45.338)	Prec@5 71.875 (75.916)
Epoch: [59][9660/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 1.9736 (2.1609)	Prec@1 50.781 (45.339)	Prec@5 77.344 (75.916)
Epoch: [59][9670/14090]	Time 0.735 (0.768)	Data 0.001 (0.001)	Loss 2.1355 (2.1608)	Prec@1 44.531 (45.338)	Prec@5 77.344 (75.918)
Epoch: [59][9680/14090]	Time 0.726 (0.768)	Data 0.001 (0.001)	Loss 1.9435 (2.1608)	Prec@1 51.562 (45.337)	Prec@5 79.688 (75.919)
Epoch: [59][9690/14090]	Time 0.734 (0.768)	Data 0.001 (0.001)	Loss 2.4148 (2.1608)	Prec@1 39.062 (45.338)	Prec@5 67.969 (75.918)
Epoch: [59][9700/14090]	Time 0.760 (0.768)	Data 0.001 (0.001)	Loss 2.2046 (2.1607)	Prec@1 43.750 (45.340)	Prec@5 77.344 (75.922)
Epoch: [59][9710/14090]	Time 0.756 (0.768)	Data 0.001 (0.001)	Loss 2.0039 (2.1607)	Prec@1 44.531 (45.340)	Prec@5 81.250 (75.922)
Epoch: [59][9720/14090]	Time 0.832 (0.768)	Data 0.001 (0.001)	Loss 2.0379 (2.1607)	Prec@1 49.219 (45.340)	Prec@5 79.688 (75.921)
Epoch: [59][9730/14090]	Time 0.759 (0.768)	Data 0.001 (0.001)	Loss 2.3723 (2.1608)	Prec@1 43.750 (45.341)	Prec@5 74.219 (75.921)
Epoch: [59][9740/14090]	Time 0.757 (0.768)	Data 0.001 (0.001)	Loss 1.9714 (2.1607)	Prec@1 50.781 (45.341)	Prec@5 76.562 (75.922)
Epoch: [59][9750/14090]	Time 0.763 (0.768)	Data 0.001 (0.001)	Loss 2.4845 (2.1608)	Prec@1 37.500 (45.339)	Prec@5 66.406 (75.921)
Epoch: [59][9760/14090]	Time 0.754 (0.768)	Data 0.001 (0.001)	Loss 2.3779 (2.1609)	Prec@1 40.625 (45.340)	Prec@5 70.312 (75.919)
Epoch: [59][9770/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 2.0751 (2.1608)	Prec@1 45.312 (45.341)	Prec@5 78.125 (75.920)
Epoch: [59][9780/14090]	Time 0.732 (0.768)	Data 0.001 (0.001)	Loss 2.3019 (2.1608)	Prec@1 48.438 (45.340)	Prec@5 73.438 (75.920)
Epoch: [59][9790/14090]	Time 0.883 (0.768)	Data 0.001 (0.001)	Loss 2.3312 (2.1609)	Prec@1 46.094 (45.340)	Prec@5 75.000 (75.919)
Epoch: [59][9800/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 2.3631 (2.1609)	Prec@1 38.281 (45.339)	Prec@5 78.125 (75.920)
Epoch: [59][9810/14090]	Time 0.779 (0.768)	Data 0.001 (0.001)	Loss 2.4171 (2.1610)	Prec@1 36.719 (45.337)	Prec@5 73.438 (75.920)
Epoch: [59][9820/14090]	Time 0.743 (0.768)	Data 0.001 (0.001)	Loss 2.1622 (2.1611)	Prec@1 43.750 (45.336)	Prec@5 78.906 (75.920)
Epoch: [59][9830/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 1.9335 (2.1611)	Prec@1 52.344 (45.337)	Prec@5 75.781 (75.919)
Epoch: [59][9840/14090]	Time 0.757 (0.768)	Data 0.001 (0.001)	Loss 2.1440 (2.1610)	Prec@1 49.219 (45.338)	Prec@5 74.219 (75.920)
Epoch: [59][9850/14090]	Time 0.774 (0.768)	Data 0.001 (0.001)	Loss 2.0947 (2.1610)	Prec@1 46.094 (45.336)	Prec@5 80.469 (75.920)
Epoch: [59][9860/14090]	Time 0.866 (0.768)	Data 0.001 (0.001)	Loss 2.2194 (2.1611)	Prec@1 40.625 (45.335)	Prec@5 72.656 (75.919)
Epoch: [59][9870/14090]	Time 0.752 (0.768)	Data 0.001 (0.001)	Loss 2.1651 (2.1612)	Prec@1 44.531 (45.332)	Prec@5 75.000 (75.917)
Epoch: [59][9880/14090]	Time 0.786 (0.768)	Data 0.001 (0.001)	Loss 2.2828 (2.1613)	Prec@1 47.656 (45.331)	Prec@5 75.000 (75.915)
Epoch: [59][9890/14090]	Time 0.745 (0.768)	Data 0.001 (0.001)	Loss 1.9824 (2.1613)	Prec@1 44.531 (45.329)	Prec@5 78.125 (75.915)
Epoch: [59][9900/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 2.0866 (2.1613)	Prec@1 47.656 (45.330)	Prec@5 78.125 (75.916)
Epoch: [59][9910/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 2.1181 (2.1612)	Prec@1 44.531 (45.331)	Prec@5 74.219 (75.916)
Epoch: [59][9920/14090]	Time 0.737 (0.768)	Data 0.001 (0.001)	Loss 2.4690 (2.1613)	Prec@1 36.719 (45.329)	Prec@5 70.312 (75.914)
Epoch: [59][9930/14090]	Time 0.885 (0.768)	Data 0.001 (0.001)	Loss 2.1258 (2.1613)	Prec@1 43.750 (45.327)	Prec@5 78.125 (75.917)
Epoch: [59][9940/14090]	Time 0.729 (0.768)	Data 0.001 (0.001)	Loss 2.3929 (2.1613)	Prec@1 42.188 (45.326)	Prec@5 72.656 (75.916)
Epoch: [59][9950/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 2.4406 (2.1614)	Prec@1 42.188 (45.324)	Prec@5 71.094 (75.915)
Epoch: [59][9960/14090]	Time 0.754 (0.768)	Data 0.001 (0.001)	Loss 2.1476 (2.1614)	Prec@1 39.844 (45.323)	Prec@5 75.781 (75.915)
Epoch: [59][9970/14090]	Time 0.764 (0.768)	Data 0.001 (0.001)	Loss 1.9379 (2.1614)	Prec@1 53.906 (45.322)	Prec@5 82.812 (75.916)
Epoch: [59][9980/14090]	Time 0.733 (0.768)	Data 0.001 (0.001)	Loss 2.0920 (2.1614)	Prec@1 44.531 (45.323)	Prec@5 75.781 (75.916)
Epoch: [59][9990/14090]	Time 0.741 (0.768)	Data 0.001 (0.001)	Loss 2.0787 (2.1614)	Prec@1 47.656 (45.322)	Prec@5 74.219 (75.916)
Epoch: [59][10000/14090]	Time 0.882 (0.768)	Data 0.001 (0.001)	Loss 2.6690 (2.1614)	Prec@1 33.594 (45.319)	Prec@5 63.281 (75.916)
Epoch: [59][10010/14090]	Time 0.727 (0.768)	Data 0.001 (0.001)	Loss 2.1297 (2.1615)	Prec@1 43.750 (45.318)	Prec@5 76.562 (75.915)
Epoch: [59][10020/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 2.4856 (2.1616)	Prec@1 39.062 (45.316)	Prec@5 71.094 (75.914)
Epoch: [59][10030/14090]	Time 0.751 (0.768)	Data 0.001 (0.001)	Loss 2.1341 (2.1615)	Prec@1 50.781 (45.320)	Prec@5 82.812 (75.916)
Epoch: [59][10040/14090]	Time 0.779 (0.768)	Data 0.001 (0.001)	Loss 2.1595 (2.1615)	Prec@1 43.750 (45.321)	Prec@5 78.906 (75.916)
Epoch: [59][10050/14090]	Time 0.756 (0.768)	Data 0.001 (0.001)	Loss 2.0097 (2.1615)	Prec@1 45.312 (45.320)	Prec@5 76.562 (75.916)
Epoch: [59][10060/14090]	Time 0.756 (0.768)	Data 0.001 (0.001)	Loss 2.0680 (2.1616)	Prec@1 42.969 (45.319)	Prec@5 73.438 (75.914)
Epoch: [59][10070/14090]	Time 0.881 (0.768)	Data 0.001 (0.001)	Loss 2.4120 (2.1616)	Prec@1 36.719 (45.316)	Prec@5 70.312 (75.913)
Epoch: [59][10080/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 2.0293 (2.1616)	Prec@1 47.656 (45.318)	Prec@5 78.125 (75.914)
Epoch: [59][10090/14090]	Time 0.740 (0.768)	Data 0.001 (0.001)	Loss 2.0891 (2.1616)	Prec@1 43.750 (45.317)	Prec@5 75.781 (75.914)
Epoch: [59][10100/14090]	Time 0.754 (0.768)	Data 0.001 (0.001)	Loss 2.2422 (2.1616)	Prec@1 48.438 (45.316)	Prec@5 74.219 (75.913)
Epoch: [59][10110/14090]	Time 0.783 (0.768)	Data 0.001 (0.001)	Loss 1.8696 (2.1616)	Prec@1 53.906 (45.317)	Prec@5 82.812 (75.915)
Epoch: [59][10120/14090]	Time 0.735 (0.768)	Data 0.001 (0.001)	Loss 1.9999 (2.1616)	Prec@1 46.875 (45.314)	Prec@5 80.469 (75.914)
Epoch: [59][10130/14090]	Time 0.782 (0.768)	Data 0.001 (0.001)	Loss 2.1144 (2.1616)	Prec@1 49.219 (45.313)	Prec@5 75.781 (75.914)
Epoch: [59][10140/14090]	Time 0.894 (0.768)	Data 0.001 (0.001)	Loss 2.3468 (2.1616)	Prec@1 42.969 (45.315)	Prec@5 70.312 (75.914)
Epoch: [59][10150/14090]	Time 0.749 (0.768)	Data 0.001 (0.001)	Loss 2.0539 (2.1616)	Prec@1 48.438 (45.313)	Prec@5 72.656 (75.914)
Epoch: [59][10160/14090]	Time 0.722 (0.768)	Data 0.001 (0.001)	Loss 2.0326 (2.1617)	Prec@1 51.562 (45.311)	Prec@5 78.125 (75.914)
Epoch: [59][10170/14090]	Time 0.772 (0.768)	Data 0.001 (0.001)	Loss 2.3133 (2.1616)	Prec@1 34.375 (45.311)	Prec@5 75.000 (75.915)
Epoch: [59][10180/14090]	Time 0.749 (0.768)	Data 0.001 (0.001)	Loss 2.1459 (2.1616)	Prec@1 49.219 (45.313)	Prec@5 73.438 (75.915)
Epoch: [59][10190/14090]	Time 0.742 (0.768)	Data 0.001 (0.001)	Loss 2.2249 (2.1616)	Prec@1 46.094 (45.314)	Prec@5 75.000 (75.916)
Epoch: [59][10200/14090]	Time 0.771 (0.768)	Data 0.001 (0.001)	Loss 2.1984 (2.1616)	Prec@1 40.625 (45.314)	Prec@5 71.875 (75.917)
Epoch: [59][10210/14090]	Time 0.850 (0.768)	Data 0.001 (0.001)	Loss 2.3452 (2.1616)	Prec@1 38.281 (45.313)	Prec@5 71.875 (75.917)
Epoch: [59][10220/14090]	Time 0.761 (0.768)	Data 0.001 (0.001)	Loss 2.1855 (2.1616)	Prec@1 38.281 (45.310)	Prec@5 75.000 (75.917)
Epoch: [59][10230/14090]	Time 0.734 (0.768)	Data 0.001 (0.001)	Loss 2.0450 (2.1615)	Prec@1 50.000 (45.312)	Prec@5 74.219 (75.918)
Epoch: [59][10240/14090]	Time 0.750 (0.768)	Data 0.001 (0.001)	Loss 2.1140 (2.1614)	Prec@1 44.531 (45.313)	Prec@5 73.438 (75.920)
Epoch: [59][10250/14090]	Time 0.782 (0.768)	Data 0.001 (0.001)	Loss 2.1761 (2.1614)	Prec@1 42.969 (45.315)	Prec@5 80.469 (75.922)
Epoch: [59][10260/14090]	Time 0.751 (0.768)	Data 0.001 (0.001)	Loss 2.2585 (2.1613)	Prec@1 46.875 (45.315)	Prec@5 78.125 (75.923)
Epoch: [59][10270/14090]	Time 0.730 (0.768)	Data 0.001 (0.001)	Loss 2.0923 (2.1613)	Prec@1 52.344 (45.316)	Prec@5 74.219 (75.922)
Epoch: [59][10280/14090]	Time 0.852 (0.768)	Data 0.001 (0.001)	Loss 2.2804 (2.1613)	Prec@1 42.969 (45.317)	Prec@5 71.875 (75.922)
Epoch: [59][10290/14090]	Time 0.729 (0.768)	Data 0.001 (0.001)	Loss 2.0345 (2.1614)	Prec@1 42.188 (45.315)	Prec@5 77.344 (75.921)
Epoch: [59][10300/14090]	Time 0.737 (0.768)	Data 0.003 (0.001)	Loss 1.8629 (2.1614)	Prec@1 45.312 (45.314)	Prec@5 84.375 (75.921)
Epoch: [59][10310/14090]	Time 0.744 (0.768)	Data 0.001 (0.001)	Loss 2.2474 (2.1614)	Prec@1 35.938 (45.312)	Prec@5 76.562 (75.921)
Epoch: [59][10320/14090]	Time 0.740 (0.768)	Data 0.001 (0.001)	Loss 2.2435 (2.1614)	Prec@1 40.625 (45.311)	Prec@5 75.781 (75.921)
Epoch: [59][10330/14090]	Time 0.752 (0.768)	Data 0.001 (0.001)	Loss 2.4630 (2.1615)	Prec@1 42.969 (45.309)	Prec@5 66.406 (75.919)
Epoch: [59][10340/14090]	Time 0.744 (0.768)	Data 0.001 (0.001)	Loss 2.2745 (2.1615)	Prec@1 43.750 (45.309)	Prec@5 68.750 (75.917)
Epoch: [59][10350/14090]	Time 0.845 (0.768)	Data 0.001 (0.001)	Loss 2.0751 (2.1616)	Prec@1 46.094 (45.307)	Prec@5 77.344 (75.918)
Epoch: [59][10360/14090]	Time 0.746 (0.768)	Data 0.001 (0.001)	Loss 2.0302 (2.1616)	Prec@1 50.000 (45.307)	Prec@5 78.125 (75.918)
Epoch: [59][10370/14090]	Time 0.739 (0.768)	Data 0.001 (0.001)	Loss 2.0128 (2.1615)	Prec@1 41.406 (45.309)	Prec@5 78.906 (75.919)
Epoch: [59][10380/14090]	Time 0.749 (0.768)	Data 0.001 (0.001)	Loss 2.1411 (2.1615)	Prec@1 46.875 (45.309)	Prec@5 76.562 (75.920)
Epoch: [59][10390/14090]	Time 0.722 (0.768)	Data 0.001 (0.001)	Loss 2.4661 (2.1615)	Prec@1 40.625 (45.308)	Prec@5 72.656 (75.920)
Epoch: [59][10400/14090]	Time 0.746 (0.768)	Data 0.001 (0.001)	Loss 2.1411 (2.1614)	Prec@1 43.750 (45.308)	Prec@5 76.562 (75.920)
Epoch: [59][10410/14090]	Time 0.781 (0.768)	Data 0.001 (0.001)	Loss 2.1770 (2.1614)	Prec@1 42.969 (45.308)	Prec@5 75.000 (75.920)
Epoch: [59][10420/14090]	Time 0.882 (0.768)	Data 0.001 (0.001)	Loss 2.2124 (2.1614)	Prec@1 45.312 (45.310)	Prec@5 72.656 (75.921)
Epoch: [59][10430/14090]	Time 0.730 (0.768)	Data 0.001 (0.001)	Loss 1.9545 (2.1613)	Prec@1 46.875 (45.311)	Prec@5 80.469 (75.923)
Epoch: [59][10440/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 2.2617 (2.1613)	Prec@1 43.750 (45.310)	Prec@5 71.875 (75.923)
Epoch: [59][10450/14090]	Time 0.741 (0.768)	Data 0.001 (0.001)	Loss 2.0230 (2.1613)	Prec@1 53.125 (45.311)	Prec@5 78.125 (75.922)
Epoch: [59][10460/14090]	Time 0.747 (0.768)	Data 0.001 (0.001)	Loss 2.1813 (2.1613)	Prec@1 46.094 (45.311)	Prec@5 73.438 (75.923)
Epoch: [59][10470/14090]	Time 0.748 (0.768)	Data 0.001 (0.001)	Loss 2.1282 (2.1613)	Prec@1 39.844 (45.308)	Prec@5 77.344 (75.922)
Epoch: [59][10480/14090]	Time 0.760 (0.768)	Data 0.001 (0.001)	Loss 2.1079 (2.1613)	Prec@1 39.062 (45.308)	Prec@5 75.000 (75.922)
Epoch: [59][10490/14090]	Time 0.874 (0.768)	Data 0.001 (0.001)	Loss 2.2135 (2.1613)	Prec@1 40.625 (45.306)	Prec@5 76.562 (75.922)
Epoch: [59][10500/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 2.2286 (2.1613)	Prec@1 39.844 (45.306)	Prec@5 75.781 (75.922)
Epoch: [59][10510/14090]	Time 0.730 (0.768)	Data 0.001 (0.001)	Loss 2.4404 (2.1614)	Prec@1 39.062 (45.304)	Prec@5 69.531 (75.919)
Epoch: [59][10520/14090]	Time 0.742 (0.768)	Data 0.001 (0.001)	Loss 2.1982 (2.1615)	Prec@1 42.188 (45.302)	Prec@5 77.344 (75.919)
Epoch: [59][10530/14090]	Time 0.735 (0.768)	Data 0.001 (0.001)	Loss 1.8074 (2.1614)	Prec@1 56.250 (45.303)	Prec@5 80.469 (75.920)
Epoch: [59][10540/14090]	Time 0.759 (0.768)	Data 0.001 (0.001)	Loss 2.0533 (2.1615)	Prec@1 52.344 (45.302)	Prec@5 78.125 (75.918)
Epoch: [59][10550/14090]	Time 0.733 (0.768)	Data 0.001 (0.001)	Loss 2.1126 (2.1615)	Prec@1 46.094 (45.302)	Prec@5 77.344 (75.916)
Epoch: [59][10560/14090]	Time 0.874 (0.768)	Data 0.001 (0.001)	Loss 2.2863 (2.1616)	Prec@1 46.875 (45.300)	Prec@5 69.531 (75.914)
Epoch: [59][10570/14090]	Time 0.759 (0.768)	Data 0.001 (0.001)	Loss 2.2936 (2.1616)	Prec@1 41.406 (45.300)	Prec@5 76.562 (75.914)
Epoch: [59][10580/14090]	Time 0.749 (0.768)	Data 0.001 (0.001)	Loss 2.0127 (2.1616)	Prec@1 49.219 (45.300)	Prec@5 79.688 (75.914)
Epoch: [59][10590/14090]	Time 0.730 (0.768)	Data 0.001 (0.001)	Loss 2.2678 (2.1616)	Prec@1 46.094 (45.300)	Prec@5 75.000 (75.916)
Epoch: [59][10600/14090]	Time 0.748 (0.768)	Data 0.001 (0.001)	Loss 2.3205 (2.1615)	Prec@1 42.969 (45.301)	Prec@5 70.312 (75.916)
Epoch: [59][10610/14090]	Time 0.732 (0.768)	Data 0.001 (0.001)	Loss 2.2601 (2.1616)	Prec@1 38.281 (45.300)	Prec@5 74.219 (75.917)
Epoch: [59][10620/14090]	Time 0.761 (0.768)	Data 0.001 (0.001)	Loss 2.2207 (2.1616)	Prec@1 47.656 (45.303)	Prec@5 77.344 (75.917)
Epoch: [59][10630/14090]	Time 0.860 (0.768)	Data 0.001 (0.001)	Loss 2.0788 (2.1616)	Prec@1 48.438 (45.301)	Prec@5 78.125 (75.916)
Epoch: [59][10640/14090]	Time 0.746 (0.768)	Data 0.001 (0.001)	Loss 2.2445 (2.1617)	Prec@1 49.219 (45.303)	Prec@5 74.219 (75.916)
Epoch: [59][10650/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 2.2998 (2.1618)	Prec@1 42.969 (45.300)	Prec@5 70.312 (75.912)
Epoch: [59][10660/14090]	Time 0.740 (0.768)	Data 0.001 (0.001)	Loss 2.0835 (2.1618)	Prec@1 51.562 (45.299)	Prec@5 78.125 (75.913)
Epoch: [59][10670/14090]	Time 0.740 (0.768)	Data 0.001 (0.001)	Loss 2.2726 (2.1618)	Prec@1 42.969 (45.300)	Prec@5 74.219 (75.913)
Epoch: [59][10680/14090]	Time 0.751 (0.768)	Data 0.001 (0.001)	Loss 2.1640 (2.1618)	Prec@1 46.094 (45.301)	Prec@5 76.562 (75.913)
Epoch: [59][10690/14090]	Time 0.772 (0.768)	Data 0.001 (0.001)	Loss 2.1984 (2.1618)	Prec@1 44.531 (45.301)	Prec@5 76.562 (75.913)
Epoch: [59][10700/14090]	Time 0.849 (0.768)	Data 0.001 (0.001)	Loss 2.1487 (2.1619)	Prec@1 47.656 (45.302)	Prec@5 78.906 (75.912)
Epoch: [59][10710/14090]	Time 0.727 (0.768)	Data 0.001 (0.001)	Loss 1.9682 (2.1618)	Prec@1 46.094 (45.301)	Prec@5 78.125 (75.913)
Epoch: [59][10720/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 2.4307 (2.1619)	Prec@1 41.406 (45.299)	Prec@5 68.750 (75.910)
Epoch: [59][10730/14090]	Time 0.760 (0.768)	Data 0.001 (0.001)	Loss 2.1445 (2.1619)	Prec@1 46.094 (45.298)	Prec@5 71.875 (75.910)
Epoch: [59][10740/14090]	Time 0.764 (0.768)	Data 0.001 (0.001)	Loss 2.1413 (2.1619)	Prec@1 42.188 (45.296)	Prec@5 75.781 (75.910)
Epoch: [59][10750/14090]	Time 0.735 (0.768)	Data 0.001 (0.001)	Loss 2.1801 (2.1618)	Prec@1 42.969 (45.296)	Prec@5 79.688 (75.912)
Epoch: [59][10760/14090]	Time 0.760 (0.768)	Data 0.001 (0.001)	Loss 2.2663 (2.1618)	Prec@1 46.094 (45.297)	Prec@5 78.906 (75.913)
Epoch: [59][10770/14090]	Time 0.835 (0.768)	Data 0.001 (0.001)	Loss 2.1872 (2.1618)	Prec@1 48.438 (45.297)	Prec@5 78.906 (75.913)
Epoch: [59][10780/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 1.9025 (2.1618)	Prec@1 52.344 (45.297)	Prec@5 84.375 (75.911)
Epoch: [59][10790/14090]	Time 0.767 (0.768)	Data 0.001 (0.001)	Loss 1.9060 (2.1618)	Prec@1 50.000 (45.297)	Prec@5 77.344 (75.911)
Epoch: [59][10800/14090]	Time 0.725 (0.768)	Data 0.001 (0.001)	Loss 2.2414 (2.1619)	Prec@1 46.094 (45.296)	Prec@5 71.875 (75.910)
Epoch: [59][10810/14090]	Time 0.740 (0.768)	Data 0.001 (0.001)	Loss 2.2183 (2.1619)	Prec@1 41.406 (45.295)	Prec@5 75.000 (75.911)
Epoch: [59][10820/14090]	Time 0.759 (0.768)	Data 0.001 (0.001)	Loss 2.0764 (2.1619)	Prec@1 48.438 (45.297)	Prec@5 82.812 (75.911)
Epoch: [59][10830/14090]	Time 0.734 (0.768)	Data 0.001 (0.001)	Loss 2.2920 (2.1620)	Prec@1 41.406 (45.294)	Prec@5 71.875 (75.909)
Epoch: [59][10840/14090]	Time 0.866 (0.768)	Data 0.001 (0.001)	Loss 2.0936 (2.1620)	Prec@1 47.656 (45.294)	Prec@5 76.562 (75.910)
Epoch: [59][10850/14090]	Time 0.730 (0.768)	Data 0.001 (0.001)	Loss 2.0843 (2.1620)	Prec@1 48.438 (45.294)	Prec@5 77.344 (75.908)
Epoch: [59][10860/14090]	Time 0.742 (0.768)	Data 0.001 (0.001)	Loss 2.0560 (2.1620)	Prec@1 46.094 (45.294)	Prec@5 79.688 (75.909)
Epoch: [59][10870/14090]	Time 0.762 (0.768)	Data 0.001 (0.001)	Loss 2.1792 (2.1620)	Prec@1 42.969 (45.295)	Prec@5 76.562 (75.908)
Epoch: [59][10880/14090]	Time 0.757 (0.768)	Data 0.001 (0.001)	Loss 2.0771 (2.1620)	Prec@1 44.531 (45.296)	Prec@5 78.906 (75.908)
Epoch: [59][10890/14090]	Time 0.756 (0.768)	Data 0.001 (0.001)	Loss 2.3186 (2.1620)	Prec@1 43.750 (45.295)	Prec@5 75.000 (75.908)
Epoch: [59][10900/14090]	Time 0.727 (0.768)	Data 0.001 (0.001)	Loss 1.8422 (2.1620)	Prec@1 48.438 (45.296)	Prec@5 78.125 (75.909)
Epoch: [59][10910/14090]	Time 0.862 (0.768)	Data 0.001 (0.001)	Loss 1.9040 (2.1619)	Prec@1 50.781 (45.297)	Prec@5 79.688 (75.909)
Epoch: [59][10920/14090]	Time 0.738 (0.768)	Data 0.001 (0.001)	Loss 2.0765 (2.1620)	Prec@1 50.000 (45.296)	Prec@5 79.688 (75.908)
Epoch: [59][10930/14090]	Time 0.733 (0.768)	Data 0.001 (0.001)	Loss 2.3269 (2.1620)	Prec@1 39.062 (45.295)	Prec@5 71.094 (75.907)
Epoch: [59][10940/14090]	Time 0.753 (0.768)	Data 0.001 (0.001)	Loss 2.4146 (2.1621)	Prec@1 40.625 (45.296)	Prec@5 71.875 (75.905)
Epoch: [59][10950/14090]	Time 0.731 (0.768)	Data 0.001 (0.001)	Loss 2.2692 (2.1621)	Prec@1 45.312 (45.298)	Prec@5 76.562 (75.904)
Epoch: [59][10960/14090]	Time 0.754 (0.768)	Data 0.001 (0.001)	Loss 2.0602 (2.1621)	Prec@1 50.000 (45.300)	Prec@5 77.344 (75.905)
Epoch: [59][10970/14090]	Time 0.782 (0.768)	Data 0.001 (0.001)	Loss 2.1888 (2.1619)	Prec@1 44.531 (45.303)	Prec@5 74.219 (75.907)
Epoch: [59][10980/14090]	Time 0.843 (0.768)	Data 0.001 (0.001)	Loss 2.1478 (2.1620)	Prec@1 42.188 (45.300)	Prec@5 72.656 (75.905)
Epoch: [59][10990/14090]	Time 0.745 (0.768)	Data 0.001 (0.001)	Loss 1.8542 (2.1619)	Prec@1 54.688 (45.302)	Prec@5 81.250 (75.907)
Epoch: [59][11000/14090]	Time 0.736 (0.768)	Data 0.001 (0.001)	Loss 2.2015 (2.1620)	Prec@1 45.312 (45.302)	Prec@5 76.562 (75.904)
Epoch: [59][11010/14090]	Time 0.728 (0.768)	Data 0.001 (0.001)	Loss 2.4466 (2.1620)	Prec@1 35.938 (45.300)	Prec@5 71.875 (75.904)
Epoch: [59][11020/14090]	Time 0.784 (0.768)	Data 0.001 (0.001)	Loss 2.5012 (2.1621)	Prec@1 35.156 (45.299)	Prec@5 69.531 (75.902)
Epoch: [59][11030/14090]	Time 0.767 (0.768)	Data 0.001 (0.001)	Loss 2.2469 (2.1621)	Prec@1 41.406 (45.298)	Prec@5 76.562 (75.902)
Epoch: [59][11040/14090]	Time 0.781 (0.768)	Data 0.001 (0.001)	Loss 2.3810 (2.1622)	Prec@1 39.844 (45.297)	Prec@5 70.312 (75.901)
Epoch: [59][11050/14090]	Time 0.881 (0.768)	Data 0.001 (0.001)	Loss 2.2890 (2.1621)	Prec@1 42.969 (45.299)	Prec@5 74.219 (75.902)
Epoch: [59][11060/14090]	Time 0.747 (0.768)	Data 0.001 (0.001)	Loss 1.9520 (2.1620)	Prec@1 51.562 (45.301)	Prec@5 81.250 (75.903)
Epoch: [59][11070/14090]	Time 0.759 (0.768)	Data 0.001 (0.001)	Loss 2.3817 (2.1620)	Prec@1 36.719 (45.299)	Prec@5 72.656 (75.903)
Epoch: [59][11080/14090]	Time 0.752 (0.768)	Data 0.001 (0.001)	Loss 2.1335 (2.1621)	Prec@1 46.094 (45.299)	Prec@5 76.562 (75.902)
Epoch: [59][11090/14090]	Time 0.740 (0.768)	Data 0.001 (0.001)	Loss 2.0250 (2.1621)	Prec@1 51.562 (45.301)	Prec@5 79.688 (75.902)
Epoch: [59][11100/14090]	Time 0.740 (0.768)	Data 0.001 (0.001)	Loss 2.3402 (2.1621)	Prec@1 37.500 (45.299)	Prec@5 72.656 (75.901)
Epoch: [59][11110/14090]	Time 0.749 (0.768)	Data 0.001 (0.001)	Loss 2.3328 (2.1621)	Prec@1 44.531 (45.298)	Prec@5 73.438 (75.902)
Epoch: [59][11120/14090]	Time 0.835 (0.768)	Data 0.001 (0.001)	Loss 2.2172 (2.1621)	Prec@1 44.531 (45.297)	Prec@5 78.125 (75.902)
Epoch: [59][11130/14090]	Time 0.756 (0.768)	Data 0.001 (0.001)	Loss 2.2385 (2.1622)	Prec@1 46.094 (45.294)	Prec@5 72.656 (75.900)
Epoch: [59][11140/14090]	Time 0.774 (0.768)	Data 0.001 (0.001)	Loss 2.2740 (2.1622)	Prec@1 46.094 (45.294)	Prec@5 72.656 (75.901)
Epoch: [59][11150/14090]	Time 0.752 (0.768)	Data 0.001 (0.001)	Loss 2.1470 (2.1622)	Prec@1 45.312 (45.293)	Prec@5 77.344 (75.902)
Epoch: [59][11160/14090]	Time 0.765 (0.768)	Data 0.001 (0.001)	Loss 2.0415 (2.1622)	Prec@1 45.312 (45.293)	Prec@5 78.125 (75.902)
Epoch: [59][11170/14090]	Time 0.760 (0.768)	Data 0.001 (0.001)	Loss 2.2768 (2.1622)	Prec@1 42.969 (45.294)	Prec@5 69.531 (75.901)
Epoch: [59][11180/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 2.2401 (2.1622)	Prec@1 46.875 (45.295)	Prec@5 76.562 (75.900)
Epoch: [59][11190/14090]	Time 0.865 (0.768)	Data 0.001 (0.001)	Loss 2.0170 (2.1622)	Prec@1 47.656 (45.296)	Prec@5 77.344 (75.900)
Epoch: [59][11200/14090]	Time 0.732 (0.768)	Data 0.001 (0.001)	Loss 1.9870 (2.1622)	Prec@1 51.562 (45.296)	Prec@5 78.906 (75.899)
Epoch: [59][11210/14090]	Time 0.727 (0.767)	Data 0.001 (0.001)	Loss 2.4506 (2.1622)	Prec@1 42.188 (45.296)	Prec@5 72.656 (75.899)
Epoch: [59][11220/14090]	Time 0.786 (0.768)	Data 0.001 (0.001)	Loss 2.2820 (2.1623)	Prec@1 42.188 (45.295)	Prec@5 72.656 (75.899)
Epoch: [59][11230/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 2.4214 (2.1623)	Prec@1 44.531 (45.295)	Prec@5 73.438 (75.897)
Epoch: [59][11240/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 2.2337 (2.1624)	Prec@1 46.875 (45.294)	Prec@5 71.094 (75.896)
Epoch: [59][11250/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 2.1563 (2.1624)	Prec@1 44.531 (45.294)	Prec@5 71.875 (75.895)
Epoch: [59][11260/14090]	Time 0.834 (0.767)	Data 0.001 (0.001)	Loss 2.2344 (2.1624)	Prec@1 41.406 (45.292)	Prec@5 76.562 (75.895)
Epoch: [59][11270/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 2.4774 (2.1625)	Prec@1 39.844 (45.292)	Prec@5 69.531 (75.893)
Epoch: [59][11280/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 2.1631 (2.1624)	Prec@1 44.531 (45.293)	Prec@5 78.125 (75.893)
Epoch: [59][11290/14090]	Time 0.779 (0.767)	Data 0.001 (0.001)	Loss 1.8991 (2.1624)	Prec@1 51.562 (45.294)	Prec@5 77.344 (75.893)
Epoch: [59][11300/14090]	Time 0.723 (0.767)	Data 0.001 (0.001)	Loss 2.2134 (2.1624)	Prec@1 46.875 (45.294)	Prec@5 75.000 (75.893)
Epoch: [59][11310/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 2.2038 (2.1624)	Prec@1 47.656 (45.295)	Prec@5 72.656 (75.894)
Epoch: [59][11320/14090]	Time 0.774 (0.767)	Data 0.001 (0.001)	Loss 2.0999 (2.1624)	Prec@1 45.312 (45.296)	Prec@5 78.906 (75.894)
Epoch: [59][11330/14090]	Time 0.871 (0.767)	Data 0.001 (0.001)	Loss 2.3813 (2.1624)	Prec@1 45.312 (45.298)	Prec@5 71.094 (75.893)
Epoch: [59][11340/14090]	Time 0.775 (0.767)	Data 0.001 (0.001)	Loss 2.2700 (2.1625)	Prec@1 43.750 (45.296)	Prec@5 72.656 (75.892)
Epoch: [59][11350/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 2.2365 (2.1625)	Prec@1 42.188 (45.295)	Prec@5 70.312 (75.892)
Epoch: [59][11360/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 2.2784 (2.1626)	Prec@1 41.406 (45.293)	Prec@5 70.312 (75.889)
Epoch: [59][11370/14090]	Time 0.766 (0.767)	Data 0.001 (0.001)	Loss 2.0533 (2.1627)	Prec@1 42.188 (45.292)	Prec@5 78.906 (75.889)
Epoch: [59][11380/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 2.1734 (2.1626)	Prec@1 44.531 (45.293)	Prec@5 72.656 (75.890)
Epoch: [59][11390/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 1.9962 (2.1626)	Prec@1 50.781 (45.294)	Prec@5 80.469 (75.893)
Epoch: [59][11400/14090]	Time 0.883 (0.767)	Data 0.001 (0.001)	Loss 2.0747 (2.1626)	Prec@1 48.438 (45.294)	Prec@5 73.438 (75.892)
Epoch: [59][11410/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 1.9630 (2.1626)	Prec@1 46.875 (45.295)	Prec@5 78.906 (75.892)
Epoch: [59][11420/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 2.1968 (2.1625)	Prec@1 45.312 (45.296)	Prec@5 77.344 (75.893)
Epoch: [59][11430/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 1.8316 (2.1625)	Prec@1 52.344 (45.295)	Prec@5 82.031 (75.891)
Epoch: [59][11440/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 1.9940 (2.1625)	Prec@1 50.000 (45.297)	Prec@5 78.125 (75.891)
Epoch: [59][11450/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 1.8297 (2.1625)	Prec@1 57.031 (45.299)	Prec@5 80.469 (75.892)
Epoch: [59][11460/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 2.1667 (2.1624)	Prec@1 42.969 (45.300)	Prec@5 75.781 (75.893)
Epoch: [59][11470/14090]	Time 0.870 (0.767)	Data 0.001 (0.001)	Loss 2.4399 (2.1625)	Prec@1 44.531 (45.298)	Prec@5 74.219 (75.891)
Epoch: [59][11480/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 2.4532 (2.1625)	Prec@1 33.594 (45.298)	Prec@5 64.844 (75.892)
Epoch: [59][11490/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 2.0015 (2.1625)	Prec@1 50.000 (45.299)	Prec@5 78.906 (75.892)
Epoch: [59][11500/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 2.3306 (2.1625)	Prec@1 38.281 (45.298)	Prec@5 68.750 (75.890)
Epoch: [59][11510/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 2.1110 (2.1626)	Prec@1 46.094 (45.297)	Prec@5 75.781 (75.888)
Epoch: [59][11520/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 2.1189 (2.1626)	Prec@1 50.000 (45.297)	Prec@5 77.344 (75.888)
Epoch: [59][11530/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 2.3739 (2.1627)	Prec@1 45.312 (45.296)	Prec@5 72.656 (75.887)
Epoch: [59][11540/14090]	Time 0.846 (0.767)	Data 0.001 (0.001)	Loss 2.0415 (2.1626)	Prec@1 50.000 (45.297)	Prec@5 76.562 (75.888)
Epoch: [59][11550/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 2.0982 (2.1626)	Prec@1 49.219 (45.297)	Prec@5 77.344 (75.887)
Epoch: [59][11560/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 2.2090 (2.1627)	Prec@1 46.875 (45.296)	Prec@5 74.219 (75.887)
Epoch: [59][11570/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 2.0326 (2.1627)	Prec@1 50.000 (45.295)	Prec@5 78.906 (75.887)
Epoch: [59][11580/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 1.9699 (2.1626)	Prec@1 50.000 (45.297)	Prec@5 78.125 (75.887)
Epoch: [59][11590/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 1.9885 (2.1626)	Prec@1 50.000 (45.297)	Prec@5 80.469 (75.887)
Epoch: [59][11600/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 2.0432 (2.1626)	Prec@1 42.188 (45.297)	Prec@5 78.125 (75.887)
Epoch: [59][11610/14090]	Time 0.851 (0.767)	Data 0.001 (0.001)	Loss 2.2566 (2.1627)	Prec@1 45.312 (45.295)	Prec@5 78.125 (75.887)
Epoch: [59][11620/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 2.4579 (2.1627)	Prec@1 44.531 (45.295)	Prec@5 71.875 (75.886)
Epoch: [59][11630/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 2.1715 (2.1628)	Prec@1 42.969 (45.292)	Prec@5 79.688 (75.885)
Epoch: [59][11640/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 2.3569 (2.1628)	Prec@1 43.750 (45.294)	Prec@5 71.875 (75.885)
Epoch: [59][11650/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 2.1986 (2.1628)	Prec@1 46.094 (45.293)	Prec@5 77.344 (75.885)
Epoch: [59][11660/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 2.3406 (2.1628)	Prec@1 41.406 (45.293)	Prec@5 69.531 (75.885)
Epoch: [59][11670/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.2699 (2.1628)	Prec@1 43.750 (45.293)	Prec@5 72.656 (75.885)
Epoch: [59][11680/14090]	Time 0.870 (0.767)	Data 0.001 (0.001)	Loss 2.5676 (2.1628)	Prec@1 38.281 (45.292)	Prec@5 65.625 (75.885)
Epoch: [59][11690/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 1.9142 (2.1628)	Prec@1 52.344 (45.294)	Prec@5 82.031 (75.885)
Epoch: [59][11700/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 2.1484 (2.1628)	Prec@1 44.531 (45.294)	Prec@5 78.906 (75.885)
Epoch: [59][11710/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 1.9328 (2.1627)	Prec@1 50.781 (45.294)	Prec@5 81.250 (75.887)
Epoch: [59][11720/14090]	Time 0.727 (0.767)	Data 0.001 (0.001)	Loss 2.5456 (2.1628)	Prec@1 35.938 (45.292)	Prec@5 68.750 (75.886)
Epoch: [59][11730/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.2798 (2.1628)	Prec@1 45.312 (45.291)	Prec@5 75.000 (75.886)
Epoch: [59][11740/14090]	Time 0.775 (0.767)	Data 0.001 (0.001)	Loss 2.0671 (2.1629)	Prec@1 50.781 (45.291)	Prec@5 78.906 (75.884)
Epoch: [59][11750/14090]	Time 0.834 (0.767)	Data 0.001 (0.001)	Loss 2.1548 (2.1628)	Prec@1 45.312 (45.292)	Prec@5 75.781 (75.885)
Epoch: [59][11760/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.0349 (2.1629)	Prec@1 49.219 (45.291)	Prec@5 75.000 (75.884)
Epoch: [59][11770/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 2.0347 (2.1629)	Prec@1 42.188 (45.290)	Prec@5 79.688 (75.883)
Epoch: [59][11780/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 2.2430 (2.1629)	Prec@1 41.406 (45.289)	Prec@5 72.656 (75.883)
Epoch: [59][11790/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 2.2342 (2.1629)	Prec@1 48.438 (45.291)	Prec@5 79.688 (75.883)
Epoch: [59][11800/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 2.3853 (2.1629)	Prec@1 35.938 (45.289)	Prec@5 75.000 (75.883)
Epoch: [59][11810/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 2.2539 (2.1630)	Prec@1 37.500 (45.289)	Prec@5 78.125 (75.882)
Epoch: [59][11820/14090]	Time 0.870 (0.767)	Data 0.001 (0.001)	Loss 1.8744 (2.1629)	Prec@1 51.562 (45.288)	Prec@5 83.594 (75.882)
Epoch: [59][11830/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.3350 (2.1629)	Prec@1 43.750 (45.286)	Prec@5 74.219 (75.881)
Epoch: [59][11840/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 2.2114 (2.1629)	Prec@1 37.500 (45.287)	Prec@5 82.031 (75.882)
Epoch: [59][11850/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 2.1836 (2.1629)	Prec@1 42.969 (45.288)	Prec@5 74.219 (75.883)
Epoch: [59][11860/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 1.9362 (2.1629)	Prec@1 47.656 (45.289)	Prec@5 85.938 (75.885)
Epoch: [59][11870/14090]	Time 0.763 (0.767)	Data 0.001 (0.001)	Loss 2.1967 (2.1628)	Prec@1 45.312 (45.290)	Prec@5 78.125 (75.887)
Epoch: [59][11880/14090]	Time 0.727 (0.767)	Data 0.001 (0.001)	Loss 2.1530 (2.1628)	Prec@1 43.750 (45.291)	Prec@5 72.656 (75.886)
Epoch: [59][11890/14090]	Time 0.862 (0.767)	Data 0.001 (0.001)	Loss 2.3801 (2.1629)	Prec@1 44.531 (45.290)	Prec@5 70.312 (75.885)
Epoch: [59][11900/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 2.3660 (2.1629)	Prec@1 41.406 (45.291)	Prec@5 70.312 (75.884)
Epoch: [59][11910/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 2.1930 (2.1630)	Prec@1 45.312 (45.289)	Prec@5 75.000 (75.883)
Epoch: [59][11920/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.0523 (2.1630)	Prec@1 45.312 (45.289)	Prec@5 78.906 (75.882)
Epoch: [59][11930/14090]	Time 0.774 (0.767)	Data 0.001 (0.001)	Loss 2.1488 (2.1630)	Prec@1 46.094 (45.291)	Prec@5 78.125 (75.883)
Epoch: [59][11940/14090]	Time 0.725 (0.767)	Data 0.001 (0.001)	Loss 2.7752 (2.1631)	Prec@1 33.594 (45.288)	Prec@5 63.281 (75.880)
Epoch: [59][11950/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 2.2770 (2.1631)	Prec@1 42.969 (45.289)	Prec@5 71.094 (75.881)
Epoch: [59][11960/14090]	Time 0.847 (0.767)	Data 0.001 (0.001)	Loss 2.1938 (2.1631)	Prec@1 47.656 (45.290)	Prec@5 76.562 (75.881)
Epoch: [59][11970/14090]	Time 0.776 (0.767)	Data 0.001 (0.001)	Loss 1.9858 (2.1631)	Prec@1 49.219 (45.290)	Prec@5 77.344 (75.881)
Epoch: [59][11980/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 2.2791 (2.1631)	Prec@1 43.750 (45.289)	Prec@5 74.219 (75.881)
Epoch: [59][11990/14090]	Time 0.783 (0.767)	Data 0.001 (0.001)	Loss 2.1803 (2.1631)	Prec@1 42.969 (45.290)	Prec@5 74.219 (75.882)
Epoch: [59][12000/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 1.9393 (2.1631)	Prec@1 49.219 (45.289)	Prec@5 78.125 (75.881)
Epoch: [59][12010/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 2.2872 (2.1631)	Prec@1 46.875 (45.288)	Prec@5 71.875 (75.880)
Epoch: [59][12020/14090]	Time 0.766 (0.767)	Data 0.001 (0.001)	Loss 2.1324 (2.1631)	Prec@1 45.312 (45.287)	Prec@5 75.781 (75.881)
Epoch: [59][12030/14090]	Time 0.881 (0.767)	Data 0.001 (0.001)	Loss 2.3059 (2.1631)	Prec@1 39.062 (45.287)	Prec@5 74.219 (75.881)
Epoch: [59][12040/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 2.1453 (2.1632)	Prec@1 46.094 (45.285)	Prec@5 78.125 (75.879)
Epoch: [59][12050/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.0694 (2.1632)	Prec@1 50.781 (45.285)	Prec@5 75.000 (75.879)
Epoch: [59][12060/14090]	Time 0.783 (0.767)	Data 0.001 (0.001)	Loss 1.9833 (2.1632)	Prec@1 47.656 (45.286)	Prec@5 76.562 (75.879)
Epoch: [59][12070/14090]	Time 0.778 (0.767)	Data 0.001 (0.001)	Loss 2.2328 (2.1632)	Prec@1 46.875 (45.287)	Prec@5 71.875 (75.877)
Epoch: [59][12080/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 2.1922 (2.1632)	Prec@1 45.312 (45.288)	Prec@5 77.344 (75.877)
Epoch: [59][12090/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 1.7317 (2.1631)	Prec@1 59.375 (45.290)	Prec@5 85.938 (75.878)
Epoch: [59][12100/14090]	Time 0.828 (0.767)	Data 0.001 (0.001)	Loss 2.0170 (2.1631)	Prec@1 49.219 (45.290)	Prec@5 79.688 (75.878)
Epoch: [59][12110/14090]	Time 0.771 (0.767)	Data 0.001 (0.001)	Loss 2.0877 (2.1632)	Prec@1 43.750 (45.290)	Prec@5 76.562 (75.878)
Epoch: [59][12120/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.2562 (2.1631)	Prec@1 42.188 (45.290)	Prec@5 78.906 (75.879)
Epoch: [59][12130/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 2.1057 (2.1632)	Prec@1 42.969 (45.288)	Prec@5 73.438 (75.878)
Epoch: [59][12140/14090]	Time 0.727 (0.767)	Data 0.001 (0.001)	Loss 2.2028 (2.1632)	Prec@1 48.438 (45.287)	Prec@5 75.000 (75.877)
Epoch: [59][12150/14090]	Time 0.767 (0.767)	Data 0.001 (0.001)	Loss 2.0282 (2.1632)	Prec@1 49.219 (45.287)	Prec@5 80.469 (75.877)
Epoch: [59][12160/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 2.1275 (2.1632)	Prec@1 42.969 (45.286)	Prec@5 82.031 (75.878)
Epoch: [59][12170/14090]	Time 0.867 (0.767)	Data 0.001 (0.001)	Loss 2.1595 (2.1632)	Prec@1 42.188 (45.286)	Prec@5 77.344 (75.877)
Epoch: [59][12180/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 2.2457 (2.1631)	Prec@1 47.656 (45.287)	Prec@5 67.188 (75.877)
Epoch: [59][12190/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 2.3998 (2.1632)	Prec@1 42.188 (45.286)	Prec@5 67.188 (75.876)
Epoch: [59][12200/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 2.3322 (2.1631)	Prec@1 41.406 (45.287)	Prec@5 74.219 (75.877)
Epoch: [59][12210/14090]	Time 0.786 (0.767)	Data 0.001 (0.001)	Loss 1.9845 (2.1632)	Prec@1 50.781 (45.286)	Prec@5 75.781 (75.877)
Epoch: [59][12220/14090]	Time 0.765 (0.767)	Data 0.001 (0.001)	Loss 2.1358 (2.1631)	Prec@1 36.719 (45.285)	Prec@5 84.375 (75.877)
Epoch: [59][12230/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.1901 (2.1632)	Prec@1 39.844 (45.284)	Prec@5 76.562 (75.875)
Epoch: [59][12240/14090]	Time 0.850 (0.767)	Data 0.001 (0.001)	Loss 2.1639 (2.1633)	Prec@1 43.750 (45.283)	Prec@5 77.344 (75.874)
Epoch: [59][12250/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 1.8021 (2.1632)	Prec@1 54.688 (45.283)	Prec@5 85.156 (75.876)
Epoch: [59][12260/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.1354 (2.1633)	Prec@1 46.094 (45.281)	Prec@5 76.562 (75.873)
Epoch: [59][12270/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 2.4583 (2.1632)	Prec@1 39.844 (45.284)	Prec@5 70.312 (75.876)
Epoch: [59][12280/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 1.9059 (2.1632)	Prec@1 50.781 (45.283)	Prec@5 80.469 (75.875)
Epoch: [59][12290/14090]	Time 0.772 (0.767)	Data 0.001 (0.001)	Loss 2.0489 (2.1632)	Prec@1 45.312 (45.284)	Prec@5 80.469 (75.874)
Epoch: [59][12300/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 1.9303 (2.1633)	Prec@1 57.031 (45.284)	Prec@5 82.031 (75.873)
Epoch: [59][12310/14090]	Time 0.873 (0.767)	Data 0.001 (0.001)	Loss 2.5110 (2.1633)	Prec@1 40.625 (45.284)	Prec@5 71.094 (75.873)
Epoch: [59][12320/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 1.9489 (2.1633)	Prec@1 50.000 (45.283)	Prec@5 75.781 (75.873)
Epoch: [59][12330/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 2.1880 (2.1633)	Prec@1 49.219 (45.284)	Prec@5 69.531 (75.872)
Epoch: [59][12340/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 2.1877 (2.1632)	Prec@1 45.312 (45.284)	Prec@5 73.438 (75.872)
Epoch: [59][12350/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 2.1565 (2.1632)	Prec@1 45.312 (45.284)	Prec@5 76.562 (75.873)
Epoch: [59][12360/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 2.1945 (2.1633)	Prec@1 47.656 (45.284)	Prec@5 75.781 (75.873)
Epoch: [59][12370/14090]	Time 0.777 (0.767)	Data 0.001 (0.001)	Loss 2.1963 (2.1632)	Prec@1 44.531 (45.285)	Prec@5 73.438 (75.873)
Epoch: [59][12380/14090]	Time 0.875 (0.767)	Data 0.001 (0.001)	Loss 2.4252 (2.1633)	Prec@1 40.625 (45.284)	Prec@5 68.750 (75.873)
Epoch: [59][12390/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 2.0016 (2.1633)	Prec@1 49.219 (45.283)	Prec@5 80.469 (75.874)
Epoch: [59][12400/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 2.2227 (2.1634)	Prec@1 47.656 (45.282)	Prec@5 71.094 (75.871)
Epoch: [59][12410/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 1.9984 (2.1634)	Prec@1 45.312 (45.281)	Prec@5 76.562 (75.870)
Epoch: [59][12420/14090]	Time 0.768 (0.767)	Data 0.001 (0.001)	Loss 2.1305 (2.1634)	Prec@1 46.094 (45.281)	Prec@5 75.000 (75.869)
Epoch: [59][12430/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 1.9786 (2.1634)	Prec@1 46.094 (45.280)	Prec@5 77.344 (75.871)
Epoch: [59][12440/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 2.2934 (2.1634)	Prec@1 40.625 (45.280)	Prec@5 73.438 (75.869)
Epoch: [59][12450/14090]	Time 0.835 (0.767)	Data 0.001 (0.001)	Loss 2.2495 (2.1634)	Prec@1 43.750 (45.281)	Prec@5 71.875 (75.870)
Epoch: [59][12460/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 2.2769 (2.1634)	Prec@1 39.062 (45.280)	Prec@5 70.312 (75.869)
Epoch: [59][12470/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 2.3197 (2.1635)	Prec@1 39.844 (45.279)	Prec@5 70.312 (75.868)
Epoch: [59][12480/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 1.9823 (2.1634)	Prec@1 48.438 (45.280)	Prec@5 78.125 (75.868)
Epoch: [59][12490/14090]	Time 0.727 (0.767)	Data 0.001 (0.001)	Loss 2.1688 (2.1635)	Prec@1 42.188 (45.278)	Prec@5 75.000 (75.867)
Epoch: [59][12500/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 2.2191 (2.1635)	Prec@1 46.875 (45.278)	Prec@5 78.125 (75.867)
Epoch: [59][12510/14090]	Time 0.765 (0.767)	Data 0.001 (0.001)	Loss 2.3649 (2.1636)	Prec@1 42.188 (45.276)	Prec@5 67.969 (75.866)
Epoch: [59][12520/14090]	Time 0.875 (0.767)	Data 0.001 (0.001)	Loss 2.0865 (2.1635)	Prec@1 45.312 (45.277)	Prec@5 73.438 (75.866)
Epoch: [59][12530/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 2.0476 (2.1635)	Prec@1 45.312 (45.278)	Prec@5 76.562 (75.867)
Epoch: [59][12540/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 1.9541 (2.1634)	Prec@1 52.344 (45.279)	Prec@5 79.688 (75.869)
Epoch: [59][12550/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.0682 (2.1633)	Prec@1 42.969 (45.279)	Prec@5 78.906 (75.870)
Epoch: [59][12560/14090]	Time 0.726 (0.767)	Data 0.001 (0.001)	Loss 2.0311 (2.1633)	Prec@1 49.219 (45.280)	Prec@5 75.000 (75.870)
Epoch: [59][12570/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 2.2718 (2.1633)	Prec@1 38.281 (45.279)	Prec@5 72.656 (75.868)
Epoch: [59][12580/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 2.1491 (2.1634)	Prec@1 42.188 (45.276)	Prec@5 74.219 (75.867)
Epoch: [59][12590/14090]	Time 0.860 (0.767)	Data 0.001 (0.001)	Loss 2.3822 (2.1635)	Prec@1 39.844 (45.274)	Prec@5 70.312 (75.866)
Epoch: [59][12600/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 2.5335 (2.1635)	Prec@1 35.156 (45.273)	Prec@5 68.750 (75.865)
Epoch: [59][12610/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 2.3393 (2.1635)	Prec@1 41.406 (45.273)	Prec@5 71.875 (75.867)
Epoch: [59][12620/14090]	Time 0.784 (0.767)	Data 0.001 (0.001)	Loss 2.0837 (2.1635)	Prec@1 44.531 (45.273)	Prec@5 75.781 (75.867)
Epoch: [59][12630/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 2.3475 (2.1635)	Prec@1 44.531 (45.272)	Prec@5 73.438 (75.867)
Epoch: [59][12640/14090]	Time 0.763 (0.767)	Data 0.001 (0.001)	Loss 2.1854 (2.1635)	Prec@1 45.312 (45.272)	Prec@5 74.219 (75.867)
Epoch: [59][12650/14090]	Time 0.774 (0.767)	Data 0.001 (0.001)	Loss 2.1132 (2.1634)	Prec@1 48.438 (45.273)	Prec@5 75.781 (75.868)
Epoch: [59][12660/14090]	Time 0.824 (0.767)	Data 0.001 (0.001)	Loss 2.0107 (2.1635)	Prec@1 47.656 (45.271)	Prec@5 76.562 (75.865)
Epoch: [59][12670/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 2.0124 (2.1634)	Prec@1 50.000 (45.274)	Prec@5 80.469 (75.868)
Epoch: [59][12680/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.2234 (2.1635)	Prec@1 46.875 (45.273)	Prec@5 71.875 (75.867)
Epoch: [59][12690/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 2.3787 (2.1635)	Prec@1 46.875 (45.273)	Prec@5 70.312 (75.866)
Epoch: [59][12700/14090]	Time 0.770 (0.767)	Data 0.001 (0.001)	Loss 2.2609 (2.1634)	Prec@1 37.500 (45.273)	Prec@5 76.562 (75.868)
Epoch: [59][12710/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 2.0729 (2.1634)	Prec@1 44.531 (45.273)	Prec@5 78.125 (75.867)
Epoch: [59][12720/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 2.2032 (2.1635)	Prec@1 42.969 (45.271)	Prec@5 75.000 (75.866)
Epoch: [59][12730/14090]	Time 0.831 (0.767)	Data 0.001 (0.001)	Loss 2.1014 (2.1635)	Prec@1 49.219 (45.270)	Prec@5 73.438 (75.865)
Epoch: [59][12740/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 2.3201 (2.1635)	Prec@1 43.750 (45.271)	Prec@5 75.000 (75.866)
Epoch: [59][12750/14090]	Time 0.785 (0.767)	Data 0.001 (0.001)	Loss 2.3058 (2.1635)	Prec@1 42.188 (45.271)	Prec@5 72.656 (75.866)
Epoch: [59][12760/14090]	Time 0.777 (0.767)	Data 0.001 (0.001)	Loss 2.2492 (2.1634)	Prec@1 44.531 (45.272)	Prec@5 76.562 (75.867)
Epoch: [59][12770/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 1.9237 (2.1634)	Prec@1 48.438 (45.272)	Prec@5 80.469 (75.867)
Epoch: [59][12780/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.4470 (2.1634)	Prec@1 39.062 (45.273)	Prec@5 67.969 (75.867)
Epoch: [59][12790/14090]	Time 0.782 (0.767)	Data 0.001 (0.001)	Loss 2.4281 (2.1634)	Prec@1 39.844 (45.272)	Prec@5 74.219 (75.868)
Epoch: [59][12800/14090]	Time 0.823 (0.767)	Data 0.001 (0.001)	Loss 2.2168 (2.1634)	Prec@1 45.312 (45.272)	Prec@5 75.000 (75.867)
Epoch: [59][12810/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 2.1316 (2.1635)	Prec@1 44.531 (45.272)	Prec@5 72.656 (75.867)
Epoch: [59][12820/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.2042 (2.1635)	Prec@1 46.094 (45.273)	Prec@5 74.219 (75.866)
Epoch: [59][12830/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 2.1514 (2.1635)	Prec@1 45.312 (45.273)	Prec@5 73.438 (75.867)
Epoch: [59][12840/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 1.9329 (2.1634)	Prec@1 47.656 (45.274)	Prec@5 79.688 (75.867)
Epoch: [59][12850/14090]	Time 0.771 (0.767)	Data 0.001 (0.001)	Loss 2.3467 (2.1634)	Prec@1 39.844 (45.274)	Prec@5 72.656 (75.866)
Epoch: [59][12860/14090]	Time 0.769 (0.767)	Data 0.001 (0.001)	Loss 1.9689 (2.1634)	Prec@1 52.344 (45.275)	Prec@5 75.000 (75.868)
Epoch: [59][12870/14090]	Time 0.840 (0.767)	Data 0.001 (0.001)	Loss 2.1117 (2.1634)	Prec@1 45.312 (45.275)	Prec@5 78.906 (75.868)
Epoch: [59][12880/14090]	Time 0.791 (0.767)	Data 0.001 (0.001)	Loss 2.1152 (2.1634)	Prec@1 46.094 (45.275)	Prec@5 78.906 (75.869)
Epoch: [59][12890/14090]	Time 0.763 (0.767)	Data 0.001 (0.001)	Loss 2.0194 (2.1634)	Prec@1 46.094 (45.275)	Prec@5 78.125 (75.869)
Epoch: [59][12900/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 2.0925 (2.1634)	Prec@1 42.969 (45.275)	Prec@5 75.000 (75.869)
Epoch: [59][12910/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 2.3575 (2.1634)	Prec@1 37.500 (45.273)	Prec@5 71.875 (75.869)
Epoch: [59][12920/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 2.1969 (2.1634)	Prec@1 42.188 (45.273)	Prec@5 74.219 (75.869)
Epoch: [59][12930/14090]	Time 0.774 (0.767)	Data 0.001 (0.001)	Loss 2.1660 (2.1634)	Prec@1 50.000 (45.272)	Prec@5 71.094 (75.869)
Epoch: [59][12940/14090]	Time 0.842 (0.767)	Data 0.001 (0.001)	Loss 2.4273 (2.1634)	Prec@1 41.406 (45.271)	Prec@5 71.094 (75.868)
Epoch: [59][12950/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 2.2243 (2.1634)	Prec@1 43.750 (45.271)	Prec@5 75.000 (75.869)
Epoch: [59][12960/14090]	Time 0.776 (0.767)	Data 0.001 (0.001)	Loss 2.1474 (2.1634)	Prec@1 41.406 (45.272)	Prec@5 80.469 (75.869)
Epoch: [59][12970/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 2.0600 (2.1634)	Prec@1 48.438 (45.271)	Prec@5 76.562 (75.869)
Epoch: [59][12980/14090]	Time 0.786 (0.767)	Data 0.001 (0.001)	Loss 2.2086 (2.1634)	Prec@1 39.844 (45.270)	Prec@5 71.875 (75.869)
Epoch: [59][12990/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 2.1629 (2.1634)	Prec@1 46.094 (45.269)	Prec@5 78.125 (75.869)
Epoch: [59][13000/14090]	Time 0.778 (0.767)	Data 0.001 (0.001)	Loss 2.3600 (2.1635)	Prec@1 42.188 (45.268)	Prec@5 74.219 (75.869)
Epoch: [59][13010/14090]	Time 0.871 (0.767)	Data 0.001 (0.001)	Loss 2.3959 (2.1635)	Prec@1 39.062 (45.266)	Prec@5 69.531 (75.868)
Epoch: [59][13020/14090]	Time 0.764 (0.767)	Data 0.001 (0.001)	Loss 2.2808 (2.1635)	Prec@1 39.844 (45.265)	Prec@5 73.438 (75.868)
Epoch: [59][13030/14090]	Time 0.784 (0.767)	Data 0.001 (0.001)	Loss 2.2198 (2.1634)	Prec@1 49.219 (45.265)	Prec@5 71.094 (75.868)
Epoch: [59][13040/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 2.1213 (2.1635)	Prec@1 42.969 (45.265)	Prec@5 78.906 (75.868)
Epoch: [59][13050/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 2.0197 (2.1635)	Prec@1 46.094 (45.264)	Prec@5 75.000 (75.868)
Epoch: [59][13060/14090]	Time 0.769 (0.767)	Data 0.001 (0.001)	Loss 2.2396 (2.1635)	Prec@1 46.875 (45.263)	Prec@5 75.000 (75.868)
Epoch: [59][13070/14090]	Time 0.786 (0.767)	Data 0.001 (0.001)	Loss 1.9933 (2.1635)	Prec@1 46.094 (45.263)	Prec@5 78.906 (75.868)
Epoch: [59][13080/14090]	Time 0.856 (0.767)	Data 0.001 (0.001)	Loss 2.3809 (2.1635)	Prec@1 41.406 (45.264)	Prec@5 68.750 (75.868)
Epoch: [59][13090/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 2.5738 (2.1635)	Prec@1 39.844 (45.262)	Prec@5 72.656 (75.867)
Epoch: [59][13100/14090]	Time 0.766 (0.767)	Data 0.001 (0.001)	Loss 2.3646 (2.1636)	Prec@1 42.969 (45.261)	Prec@5 73.438 (75.866)
Epoch: [59][13110/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 2.3725 (2.1636)	Prec@1 42.188 (45.258)	Prec@5 70.312 (75.866)
Epoch: [59][13120/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 2.1021 (2.1637)	Prec@1 43.750 (45.257)	Prec@5 75.000 (75.864)
Epoch: [59][13130/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 1.9341 (2.1637)	Prec@1 49.219 (45.256)	Prec@5 78.906 (75.864)
Epoch: [59][13140/14090]	Time 0.770 (0.767)	Data 0.001 (0.001)	Loss 2.1399 (2.1637)	Prec@1 42.969 (45.255)	Prec@5 78.906 (75.864)
Epoch: [59][13150/14090]	Time 0.832 (0.767)	Data 0.001 (0.001)	Loss 2.2374 (2.1638)	Prec@1 47.656 (45.255)	Prec@5 75.781 (75.864)
Epoch: [59][13160/14090]	Time 0.723 (0.767)	Data 0.001 (0.001)	Loss 2.2790 (2.1638)	Prec@1 39.844 (45.253)	Prec@5 75.000 (75.863)
Epoch: [59][13170/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 2.1178 (2.1638)	Prec@1 48.438 (45.253)	Prec@5 76.562 (75.863)
Epoch: [59][13180/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.0030 (2.1638)	Prec@1 44.531 (45.253)	Prec@5 81.250 (75.863)
Epoch: [59][13190/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 1.9043 (2.1638)	Prec@1 50.000 (45.253)	Prec@5 78.906 (75.863)
Epoch: [59][13200/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 2.3505 (2.1638)	Prec@1 41.406 (45.253)	Prec@5 73.438 (75.864)
Epoch: [59][13210/14090]	Time 0.778 (0.767)	Data 0.001 (0.001)	Loss 2.4224 (2.1638)	Prec@1 37.500 (45.251)	Prec@5 69.531 (75.863)
Epoch: [59][13220/14090]	Time 0.846 (0.767)	Data 0.001 (0.001)	Loss 2.2845 (2.1638)	Prec@1 40.625 (45.253)	Prec@5 71.875 (75.864)
Epoch: [59][13230/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.0046 (2.1637)	Prec@1 50.781 (45.254)	Prec@5 78.906 (75.865)
Epoch: [59][13240/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 2.3359 (2.1637)	Prec@1 37.500 (45.254)	Prec@5 69.531 (75.866)
Epoch: [59][13250/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 2.3433 (2.1637)	Prec@1 44.531 (45.254)	Prec@5 72.656 (75.865)
Epoch: [59][13260/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.1372 (2.1638)	Prec@1 43.750 (45.254)	Prec@5 74.219 (75.863)
Epoch: [59][13270/14090]	Time 0.778 (0.767)	Data 0.001 (0.001)	Loss 2.3083 (2.1638)	Prec@1 46.875 (45.254)	Prec@5 70.312 (75.862)
Epoch: [59][13280/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 2.1313 (2.1639)	Prec@1 46.875 (45.253)	Prec@5 78.906 (75.861)
Epoch: [59][13290/14090]	Time 0.882 (0.767)	Data 0.001 (0.001)	Loss 1.8529 (2.1638)	Prec@1 50.000 (45.253)	Prec@5 82.812 (75.862)
Epoch: [59][13300/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 2.0891 (2.1638)	Prec@1 40.625 (45.252)	Prec@5 76.562 (75.862)
Epoch: [59][13310/14090]	Time 0.770 (0.767)	Data 0.001 (0.001)	Loss 2.1284 (2.1638)	Prec@1 47.656 (45.253)	Prec@5 75.781 (75.863)
Epoch: [59][13320/14090]	Time 0.785 (0.767)	Data 0.001 (0.001)	Loss 2.4811 (2.1638)	Prec@1 39.844 (45.252)	Prec@5 71.094 (75.863)
Epoch: [59][13330/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 1.9131 (2.1638)	Prec@1 52.344 (45.253)	Prec@5 81.250 (75.864)
Epoch: [59][13340/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 2.1410 (2.1639)	Prec@1 43.750 (45.252)	Prec@5 78.125 (75.863)
Epoch: [59][13350/14090]	Time 0.752 (0.767)	Data 0.000 (0.001)	Loss 2.0417 (2.1638)	Prec@1 49.219 (45.251)	Prec@5 78.906 (75.864)
Epoch: [59][13360/14090]	Time 0.850 (0.767)	Data 0.001 (0.001)	Loss 2.2486 (2.1639)	Prec@1 41.406 (45.249)	Prec@5 73.438 (75.863)
Epoch: [59][13370/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.0038 (2.1639)	Prec@1 47.656 (45.248)	Prec@5 76.562 (75.863)
Epoch: [59][13380/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.1680 (2.1639)	Prec@1 42.188 (45.248)	Prec@5 75.781 (75.864)
Epoch: [59][13390/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 2.1700 (2.1639)	Prec@1 40.625 (45.247)	Prec@5 79.688 (75.863)
Epoch: [59][13400/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 2.1877 (2.1639)	Prec@1 46.875 (45.248)	Prec@5 73.438 (75.862)
Epoch: [59][13410/14090]	Time 0.763 (0.767)	Data 0.001 (0.001)	Loss 2.2740 (2.1639)	Prec@1 40.625 (45.247)	Prec@5 74.219 (75.862)
Epoch: [59][13420/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 2.1629 (2.1640)	Prec@1 46.094 (45.248)	Prec@5 77.344 (75.861)
Epoch: [59][13430/14090]	Time 0.837 (0.767)	Data 0.001 (0.001)	Loss 2.3142 (2.1640)	Prec@1 41.406 (45.247)	Prec@5 69.531 (75.859)
Epoch: [59][13440/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 2.0347 (2.1641)	Prec@1 52.344 (45.246)	Prec@5 78.125 (75.859)
Epoch: [59][13450/14090]	Time 0.766 (0.767)	Data 0.001 (0.001)	Loss 2.1744 (2.1640)	Prec@1 46.094 (45.246)	Prec@5 74.219 (75.859)
Epoch: [59][13460/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 1.9218 (2.1641)	Prec@1 55.469 (45.246)	Prec@5 82.031 (75.859)
Epoch: [59][13470/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 1.9769 (2.1641)	Prec@1 50.781 (45.245)	Prec@5 80.469 (75.859)
Epoch: [59][13480/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 2.0908 (2.1641)	Prec@1 52.344 (45.245)	Prec@5 79.688 (75.860)
Epoch: [59][13490/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 2.3835 (2.1641)	Prec@1 45.312 (45.245)	Prec@5 67.969 (75.859)
Epoch: [59][13500/14090]	Time 0.888 (0.767)	Data 0.001 (0.001)	Loss 1.8165 (2.1641)	Prec@1 51.562 (45.244)	Prec@5 84.375 (75.859)
Epoch: [59][13510/14090]	Time 0.773 (0.767)	Data 0.001 (0.001)	Loss 2.2282 (2.1642)	Prec@1 45.312 (45.242)	Prec@5 78.125 (75.857)
Epoch: [59][13520/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 2.2790 (2.1642)	Prec@1 39.062 (45.241)	Prec@5 74.219 (75.858)
Epoch: [59][13530/14090]	Time 0.777 (0.767)	Data 0.001 (0.001)	Loss 2.1314 (2.1642)	Prec@1 47.656 (45.242)	Prec@5 75.781 (75.859)
Epoch: [59][13540/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 2.3035 (2.1642)	Prec@1 40.625 (45.240)	Prec@5 73.438 (75.858)
Epoch: [59][13550/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 2.3358 (2.1642)	Prec@1 50.000 (45.241)	Prec@5 74.219 (75.858)
Epoch: [59][13560/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 2.2981 (2.1642)	Prec@1 39.844 (45.241)	Prec@5 74.219 (75.858)
Epoch: [59][13570/14090]	Time 1.001 (0.767)	Data 0.001 (0.001)	Loss 2.1479 (2.1642)	Prec@1 40.625 (45.242)	Prec@5 75.000 (75.859)
Epoch: [59][13580/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 1.9098 (2.1641)	Prec@1 52.344 (45.244)	Prec@5 79.688 (75.860)
Epoch: [59][13590/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 2.4560 (2.1641)	Prec@1 38.281 (45.244)	Prec@5 67.188 (75.861)
Epoch: [59][13600/14090]	Time 0.724 (0.767)	Data 0.001 (0.001)	Loss 1.9544 (2.1641)	Prec@1 50.000 (45.244)	Prec@5 75.000 (75.860)
Epoch: [59][13610/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.1027 (2.1641)	Prec@1 42.188 (45.245)	Prec@5 77.344 (75.861)
Epoch: [59][13620/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 2.0543 (2.1641)	Prec@1 53.125 (45.246)	Prec@5 79.688 (75.861)
Epoch: [59][13630/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 2.0255 (2.1641)	Prec@1 52.344 (45.245)	Prec@5 80.469 (75.862)
Epoch: [59][13640/14090]	Time 0.850 (0.767)	Data 0.001 (0.001)	Loss 2.1180 (2.1640)	Prec@1 48.438 (45.245)	Prec@5 71.875 (75.861)
Epoch: [59][13650/14090]	Time 0.783 (0.767)	Data 0.001 (0.001)	Loss 2.1531 (2.1641)	Prec@1 47.656 (45.246)	Prec@5 74.219 (75.861)
Epoch: [59][13660/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 2.2601 (2.1641)	Prec@1 42.188 (45.244)	Prec@5 77.344 (75.861)
Epoch: [59][13670/14090]	Time 0.768 (0.767)	Data 0.001 (0.001)	Loss 2.0555 (2.1641)	Prec@1 46.094 (45.243)	Prec@5 79.688 (75.861)
Epoch: [59][13680/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 2.7428 (2.1642)	Prec@1 38.281 (45.241)	Prec@5 64.844 (75.860)
Epoch: [59][13690/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 2.1370 (2.1642)	Prec@1 43.750 (45.242)	Prec@5 76.562 (75.860)
Epoch: [59][13700/14090]	Time 0.771 (0.767)	Data 0.001 (0.001)	Loss 2.2264 (2.1642)	Prec@1 41.406 (45.241)	Prec@5 78.906 (75.860)
Epoch: [59][13710/14090]	Time 0.886 (0.767)	Data 0.001 (0.001)	Loss 2.2871 (2.1643)	Prec@1 46.094 (45.240)	Prec@5 73.438 (75.858)
Epoch: [59][13720/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 2.3235 (2.1643)	Prec@1 38.281 (45.240)	Prec@5 77.344 (75.858)
Epoch: [59][13730/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 1.8793 (2.1643)	Prec@1 51.562 (45.239)	Prec@5 81.250 (75.858)
Epoch: [59][13740/14090]	Time 0.789 (0.767)	Data 0.001 (0.001)	Loss 2.1308 (2.1643)	Prec@1 50.000 (45.241)	Prec@5 74.219 (75.858)
Epoch: [59][13750/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 2.3178 (2.1644)	Prec@1 42.188 (45.239)	Prec@5 71.875 (75.857)
Epoch: [59][13760/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 2.2563 (2.1644)	Prec@1 43.750 (45.240)	Prec@5 78.125 (75.859)
Epoch: [59][13770/14090]	Time 0.779 (0.767)	Data 0.001 (0.001)	Loss 1.9129 (2.1643)	Prec@1 52.344 (45.240)	Prec@5 78.906 (75.860)
Epoch: [59][13780/14090]	Time 0.906 (0.767)	Data 0.001 (0.001)	Loss 2.2816 (2.1643)	Prec@1 42.188 (45.239)	Prec@5 81.250 (75.860)
Epoch: [59][13790/14090]	Time 0.766 (0.767)	Data 0.001 (0.001)	Loss 2.2294 (2.1643)	Prec@1 42.969 (45.240)	Prec@5 77.344 (75.861)
Epoch: [59][13800/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 2.1253 (2.1643)	Prec@1 50.000 (45.240)	Prec@5 79.688 (75.862)
Epoch: [59][13810/14090]	Time 0.726 (0.767)	Data 0.001 (0.001)	Loss 2.2045 (2.1643)	Prec@1 38.281 (45.240)	Prec@5 75.781 (75.863)
Epoch: [59][13820/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 2.0664 (2.1643)	Prec@1 52.344 (45.240)	Prec@5 76.562 (75.862)
Epoch: [59][13830/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 2.2659 (2.1644)	Prec@1 36.719 (45.239)	Prec@5 76.562 (75.861)
Epoch: [59][13840/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 2.0460 (2.1644)	Prec@1 45.312 (45.239)	Prec@5 73.438 (75.862)
Epoch: [59][13850/14090]	Time 0.890 (0.767)	Data 0.001 (0.001)	Loss 2.0633 (2.1644)	Prec@1 48.438 (45.237)	Prec@5 77.344 (75.860)
Epoch: [59][13860/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 2.5164 (2.1644)	Prec@1 39.062 (45.236)	Prec@5 63.281 (75.860)
Epoch: [59][13870/14090]	Time 0.770 (0.767)	Data 0.001 (0.001)	Loss 2.0334 (2.1645)	Prec@1 44.531 (45.236)	Prec@5 78.906 (75.860)
Epoch: [59][13880/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 2.2766 (2.1645)	Prec@1 45.312 (45.234)	Prec@5 72.656 (75.858)
Epoch: [59][13890/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.0306 (2.1645)	Prec@1 46.094 (45.235)	Prec@5 79.688 (75.858)
Epoch: [59][13900/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 2.1726 (2.1645)	Prec@1 52.344 (45.236)	Prec@5 75.000 (75.859)
Epoch: [59][13910/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 2.1867 (2.1645)	Prec@1 43.750 (45.236)	Prec@5 79.688 (75.858)
Epoch: [59][13920/14090]	Time 0.860 (0.767)	Data 0.001 (0.001)	Loss 2.3066 (2.1646)	Prec@1 40.625 (45.232)	Prec@5 71.094 (75.856)
Epoch: [59][13930/14090]	Time 0.772 (0.767)	Data 0.001 (0.001)	Loss 2.1873 (2.1646)	Prec@1 45.312 (45.232)	Prec@5 76.562 (75.855)
Epoch: [59][13940/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 1.9098 (2.1646)	Prec@1 52.344 (45.233)	Prec@5 81.250 (75.857)
Epoch: [59][13950/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 2.0648 (2.1646)	Prec@1 47.656 (45.233)	Prec@5 76.562 (75.857)
Epoch: [59][13960/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 2.2560 (2.1647)	Prec@1 46.094 (45.231)	Prec@5 72.656 (75.855)
Epoch: [59][13970/14090]	Time 0.770 (0.767)	Data 0.001 (0.001)	Loss 2.5375 (2.1648)	Prec@1 42.969 (45.230)	Prec@5 70.312 (75.854)
Epoch: [59][13980/14090]	Time 0.765 (0.767)	Data 0.001 (0.001)	Loss 2.3397 (2.1649)	Prec@1 37.500 (45.229)	Prec@5 71.094 (75.852)
Epoch: [59][13990/14090]	Time 0.827 (0.767)	Data 0.001 (0.001)	Loss 2.5031 (2.1649)	Prec@1 36.719 (45.228)	Prec@5 71.094 (75.852)
Epoch: [59][14000/14090]	Time 0.773 (0.767)	Data 0.001 (0.001)	Loss 2.4439 (2.1649)	Prec@1 42.188 (45.227)	Prec@5 71.875 (75.852)
Epoch: [59][14010/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 2.0341 (2.1649)	Prec@1 43.750 (45.226)	Prec@5 81.250 (75.851)
Epoch: [59][14020/14090]	Time 0.785 (0.767)	Data 0.001 (0.001)	Loss 2.2191 (2.1649)	Prec@1 42.969 (45.227)	Prec@5 74.219 (75.852)
Epoch: [59][14030/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.1673 (2.1650)	Prec@1 40.625 (45.225)	Prec@5 78.125 (75.851)
Epoch: [59][14040/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 2.0777 (2.1650)	Prec@1 42.188 (45.225)	Prec@5 79.688 (75.851)
Epoch: [59][14050/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.2302 (2.1650)	Prec@1 44.531 (45.226)	Prec@5 76.562 (75.851)
Epoch: [59][14060/14090]	Time 0.900 (0.767)	Data 0.001 (0.001)	Loss 2.0223 (2.1650)	Prec@1 42.188 (45.225)	Prec@5 81.250 (75.851)
Epoch: [59][14070/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 2.4153 (2.1651)	Prec@1 38.281 (45.222)	Prec@5 69.531 (75.850)
Epoch: [59][14080/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 2.3033 (2.1650)	Prec@1 40.625 (45.223)	Prec@5 71.094 (75.851)
Test: [0/286]	Time 5.100 (5.100)	Loss 1.2682 (1.2682)	Prec@1 60.156 (60.156)	Prec@5 94.531 (94.531)
Test: [10/286]	Time 0.276 (0.827)	Loss 1.6404 (1.9624)	Prec@1 52.344 (48.793)	Prec@5 89.062 (81.463)
Test: [20/286]	Time 0.242 (0.631)	Loss 1.8713 (1.9027)	Prec@1 52.344 (50.335)	Prec@5 82.812 (82.999)
Test: [30/286]	Time 0.291 (0.572)	Loss 1.9062 (1.8205)	Prec@1 46.094 (52.016)	Prec@5 82.812 (83.518)
Test: [40/286]	Time 1.968 (0.577)	Loss 1.9512 (1.8641)	Prec@1 44.531 (50.877)	Prec@5 82.812 (82.660)
Test: [50/286]	Time 0.474 (0.557)	Loss 0.4944 (1.8316)	Prec@1 88.281 (51.333)	Prec@5 95.312 (83.165)
Test: [60/286]	Time 0.239 (0.537)	Loss 3.1850 (1.8634)	Prec@1 25.000 (51.114)	Prec@5 57.812 (82.082)
Test: [70/286]	Time 0.230 (0.522)	Loss 1.3431 (1.8486)	Prec@1 72.656 (51.551)	Prec@5 89.062 (82.251)
Test: [80/286]	Time 1.838 (0.531)	Loss 1.7639 (1.8686)	Prec@1 47.656 (50.617)	Prec@5 85.156 (82.263)
Test: [90/286]	Time 0.232 (0.523)	Loss 1.6475 (1.8728)	Prec@1 55.469 (50.730)	Prec@5 90.625 (82.306)
Test: [100/286]	Time 0.236 (0.515)	Loss 2.2070 (1.8936)	Prec@1 24.219 (50.054)	Prec@5 84.375 (82.240)
Test: [110/286]	Time 0.311 (0.508)	Loss 2.1584 (1.9079)	Prec@1 52.344 (49.845)	Prec@5 75.781 (82.264)
Test: [120/286]	Time 1.720 (0.515)	Loss 1.7090 (1.8895)	Prec@1 61.719 (50.562)	Prec@5 78.906 (82.425)
Test: [130/286]	Time 0.350 (0.512)	Loss 1.0608 (1.8808)	Prec@1 70.312 (50.912)	Prec@5 94.531 (82.479)
Test: [140/286]	Time 0.230 (0.507)	Loss 2.1006 (1.8789)	Prec@1 49.219 (50.925)	Prec@5 77.344 (82.463)
Test: [150/286]	Time 0.233 (0.502)	Loss 2.9063 (1.8846)	Prec@1 29.688 (50.652)	Prec@5 69.531 (82.476)
Test: [160/286]	Time 1.926 (0.509)	Loss 3.0142 (1.8828)	Prec@1 18.750 (50.723)	Prec@5 64.062 (82.478)
Test: [170/286]	Time 0.292 (0.506)	Loss 2.0065 (1.8755)	Prec@1 42.969 (50.804)	Prec@5 82.812 (82.598)
Test: [180/286]	Time 0.391 (0.502)	Loss 2.1285 (1.8989)	Prec@1 52.344 (50.294)	Prec@5 74.219 (82.204)
Test: [190/286]	Time 0.248 (0.498)	Loss 2.8936 (1.9145)	Prec@1 19.531 (49.885)	Prec@5 74.219 (82.101)
Test: [200/286]	Time 1.658 (0.503)	Loss 2.1144 (1.9068)	Prec@1 50.000 (50.093)	Prec@5 81.250 (82.136)
Test: [210/286]	Time 0.290 (0.500)	Loss 2.6643 (1.9144)	Prec@1 32.812 (49.819)	Prec@5 67.188 (81.976)
Test: [220/286]	Time 0.395 (0.498)	Loss 2.9679 (1.9183)	Prec@1 21.875 (49.830)	Prec@5 64.844 (81.869)
Test: [230/286]	Time 0.363 (0.496)	Loss 1.5286 (1.9206)	Prec@1 64.844 (49.760)	Prec@5 83.594 (81.795)
Test: [240/286]	Time 1.533 (0.498)	Loss 2.3809 (1.9228)	Prec@1 46.875 (49.805)	Prec@5 76.562 (81.730)
Test: [250/286]	Time 0.286 (0.497)	Loss 1.8324 (1.9172)	Prec@1 43.750 (49.857)	Prec@5 80.469 (81.879)
Test: [260/286]	Time 0.361 (0.496)	Loss 1.6130 (1.9073)	Prec@1 57.031 (50.066)	Prec@5 88.281 (82.037)
Test: [270/286]	Time 0.237 (0.493)	Loss 1.5719 (1.9102)	Prec@1 60.938 (49.965)	Prec@5 87.500 (82.020)
Test: [280/286]	Time 1.259 (0.497)	Loss 2.1098 (1.8925)	Prec@1 51.562 (50.570)	Prec@5 83.594 (82.220)
 * Prec@1 50.717 Prec@5 82.200
Epoch: [60][0/14090]	Time 6.395 (6.395)	Data 5.629 (5.629)	Loss 1.9110 (1.9110)	Prec@1 50.000 (50.000)	Prec@5 79.688 (79.688)
Epoch: [60][10/14090]	Time 0.753 (1.264)	Data 0.001 (0.512)	Loss 1.9514 (2.0326)	Prec@1 49.219 (48.295)	Prec@5 79.688 (78.125)
Epoch: [60][20/14090]	Time 0.727 (1.016)	Data 0.001 (0.269)	Loss 1.8293 (2.0576)	Prec@1 51.562 (47.359)	Prec@5 78.125 (77.604)
Epoch: [60][30/14090]	Time 0.874 (0.934)	Data 0.001 (0.182)	Loss 2.2197 (2.1087)	Prec@1 42.969 (45.917)	Prec@5 73.438 (77.268)
Epoch: [60][40/14090]	Time 0.740 (0.890)	Data 0.001 (0.138)	Loss 1.8139 (2.1016)	Prec@1 55.469 (45.998)	Prec@5 83.594 (77.325)
Epoch: [60][50/14090]	Time 0.746 (0.865)	Data 0.001 (0.111)	Loss 1.9741 (2.0973)	Prec@1 47.656 (46.124)	Prec@5 77.344 (77.206)
Epoch: [60][60/14090]	Time 0.749 (0.848)	Data 0.001 (0.093)	Loss 2.0988 (2.0995)	Prec@1 49.219 (46.299)	Prec@5 77.344 (77.100)
Epoch: [60][70/14090]	Time 0.732 (0.835)	Data 0.001 (0.080)	Loss 1.9472 (2.1078)	Prec@1 54.688 (46.204)	Prec@5 81.250 (76.838)
Epoch: [60][80/14090]	Time 0.760 (0.827)	Data 0.001 (0.070)	Loss 1.9558 (2.1017)	Prec@1 50.781 (46.537)	Prec@5 80.469 (76.919)
Epoch: [60][90/14090]	Time 0.765 (0.819)	Data 0.001 (0.063)	Loss 2.1137 (2.0995)	Prec@1 48.438 (46.592)	Prec@5 74.219 (76.966)
Epoch: [60][100/14090]	Time 0.833 (0.814)	Data 0.001 (0.057)	Loss 2.1208 (2.0958)	Prec@1 43.750 (46.713)	Prec@5 78.906 (77.050)
Epoch: [60][110/14090]	Time 0.754 (0.809)	Data 0.001 (0.052)	Loss 1.6820 (2.0921)	Prec@1 57.031 (46.734)	Prec@5 83.594 (77.111)
Epoch: [60][120/14090]	Time 0.755 (0.806)	Data 0.001 (0.047)	Loss 2.1988 (2.0877)	Prec@1 39.844 (46.701)	Prec@5 76.562 (77.137)
Epoch: [60][130/14090]	Time 0.770 (0.805)	Data 0.001 (0.044)	Loss 1.9118 (2.0777)	Prec@1 51.562 (46.905)	Prec@5 78.906 (77.314)
Epoch: [60][140/14090]	Time 0.743 (0.803)	Data 0.001 (0.041)	Loss 2.0759 (2.0804)	Prec@1 48.438 (46.947)	Prec@5 78.906 (77.266)
Epoch: [60][150/14090]	Time 0.755 (0.802)	Data 0.001 (0.038)	Loss 2.2237 (2.0797)	Prec@1 38.281 (46.999)	Prec@5 72.656 (77.276)
Epoch: [60][160/14090]	Time 0.744 (0.799)	Data 0.001 (0.036)	Loss 2.1729 (2.0796)	Prec@1 40.625 (46.928)	Prec@5 78.125 (77.329)
Epoch: [60][170/14090]	Time 0.884 (0.798)	Data 0.001 (0.034)	Loss 2.3315 (2.0814)	Prec@1 39.844 (46.829)	Prec@5 72.656 (77.307)
Epoch: [60][180/14090]	Time 0.725 (0.797)	Data 0.001 (0.032)	Loss 1.7476 (2.0765)	Prec@1 60.156 (47.039)	Prec@5 79.688 (77.361)
Epoch: [60][190/14090]	Time 0.766 (0.795)	Data 0.001 (0.030)	Loss 2.1545 (2.0749)	Prec@1 46.094 (47.022)	Prec@5 72.656 (77.331)
Epoch: [60][200/14090]	Time 0.737 (0.794)	Data 0.001 (0.029)	Loss 2.1495 (2.0738)	Prec@1 43.750 (47.003)	Prec@5 71.094 (77.340)
Epoch: [60][210/14090]	Time 0.763 (0.793)	Data 0.002 (0.028)	Loss 2.1081 (2.0712)	Prec@1 47.656 (47.064)	Prec@5 76.562 (77.373)
Epoch: [60][220/14090]	Time 0.763 (0.792)	Data 0.001 (0.026)	Loss 2.0378 (2.0673)	Prec@1 46.875 (47.115)	Prec@5 78.906 (77.457)
Epoch: [60][230/14090]	Time 0.752 (0.791)	Data 0.002 (0.025)	Loss 2.0606 (2.0691)	Prec@1 42.969 (47.125)	Prec@5 80.469 (77.438)
Epoch: [60][240/14090]	Time 0.844 (0.790)	Data 0.001 (0.024)	Loss 1.9979 (2.0668)	Prec@1 52.344 (47.209)	Prec@5 76.562 (77.506)
Epoch: [60][250/14090]	Time 0.731 (0.789)	Data 0.001 (0.023)	Loss 2.3462 (2.0694)	Prec@1 40.625 (47.155)	Prec@5 72.656 (77.465)
Epoch: [60][260/14090]	Time 0.727 (0.787)	Data 0.001 (0.022)	Loss 1.9196 (2.0652)	Prec@1 55.469 (47.249)	Prec@5 78.125 (77.511)
Epoch: [60][270/14090]	Time 0.765 (0.787)	Data 0.001 (0.022)	Loss 2.2795 (2.0683)	Prec@1 46.094 (47.232)	Prec@5 75.000 (77.468)
Epoch: [60][280/14090]	Time 0.783 (0.786)	Data 0.001 (0.021)	Loss 2.2711 (2.0670)	Prec@1 40.625 (47.261)	Prec@5 71.094 (77.455)
Epoch: [60][290/14090]	Time 0.757 (0.785)	Data 0.001 (0.020)	Loss 2.0490 (2.0673)	Prec@1 45.312 (47.165)	Prec@5 78.125 (77.475)
Epoch: [60][300/14090]	Time 0.781 (0.784)	Data 0.001 (0.020)	Loss 2.0870 (2.0662)	Prec@1 50.000 (47.179)	Prec@5 79.688 (77.541)
Epoch: [60][310/14090]	Time 0.857 (0.784)	Data 0.001 (0.019)	Loss 2.0490 (2.0639)	Prec@1 47.656 (47.244)	Prec@5 78.906 (77.572)
Epoch: [60][320/14090]	Time 0.749 (0.783)	Data 0.001 (0.018)	Loss 2.1475 (2.0650)	Prec@1 45.312 (47.255)	Prec@5 74.219 (77.551)
Epoch: [60][330/14090]	Time 0.736 (0.782)	Data 0.001 (0.018)	Loss 1.9180 (2.0632)	Prec@1 52.344 (47.354)	Prec@5 78.125 (77.575)
Epoch: [60][340/14090]	Time 0.734 (0.782)	Data 0.001 (0.017)	Loss 2.0882 (2.0659)	Prec@1 46.094 (47.322)	Prec@5 72.656 (77.538)
Epoch: [60][350/14090]	Time 0.773 (0.782)	Data 0.001 (0.017)	Loss 1.8189 (2.0641)	Prec@1 53.906 (47.342)	Prec@5 83.594 (77.553)
Epoch: [60][360/14090]	Time 0.740 (0.781)	Data 0.001 (0.016)	Loss 2.1665 (2.0634)	Prec@1 46.875 (47.338)	Prec@5 78.125 (77.588)
Epoch: [60][370/14090]	Time 0.756 (0.781)	Data 0.001 (0.016)	Loss 2.0022 (2.0634)	Prec@1 51.562 (47.347)	Prec@5 77.344 (77.599)
Epoch: [60][380/14090]	Time 0.841 (0.781)	Data 0.001 (0.016)	Loss 1.8323 (2.0624)	Prec@1 51.562 (47.324)	Prec@5 78.125 (77.586)
Epoch: [60][390/14090]	Time 0.786 (0.780)	Data 0.001 (0.015)	Loss 2.0474 (2.0623)	Prec@1 45.312 (47.321)	Prec@5 82.812 (77.625)
Epoch: [60][400/14090]	Time 0.735 (0.780)	Data 0.001 (0.015)	Loss 1.9650 (2.0611)	Prec@1 51.562 (47.358)	Prec@5 78.125 (77.618)
Epoch: [60][410/14090]	Time 0.754 (0.780)	Data 0.001 (0.015)	Loss 2.0297 (2.0602)	Prec@1 47.656 (47.403)	Prec@5 76.562 (77.633)
Epoch: [60][420/14090]	Time 0.778 (0.780)	Data 0.001 (0.014)	Loss 1.9587 (2.0600)	Prec@1 50.781 (47.428)	Prec@5 80.469 (77.637)
Epoch: [60][430/14090]	Time 0.758 (0.780)	Data 0.001 (0.014)	Loss 2.2473 (2.0605)	Prec@1 42.969 (47.421)	Prec@5 75.000 (77.628)
Epoch: [60][440/14090]	Time 0.761 (0.779)	Data 0.001 (0.014)	Loss 2.0865 (2.0628)	Prec@1 46.094 (47.352)	Prec@5 78.906 (77.576)
Epoch: [60][450/14090]	Time 0.886 (0.779)	Data 0.001 (0.013)	Loss 2.1682 (2.0619)	Prec@1 47.656 (47.358)	Prec@5 75.781 (77.604)
Epoch: [60][460/14090]	Time 0.733 (0.779)	Data 0.001 (0.013)	Loss 2.1020 (2.0592)	Prec@1 44.531 (47.416)	Prec@5 77.344 (77.645)
Epoch: [60][470/14090]	Time 0.733 (0.778)	Data 0.001 (0.013)	Loss 1.8538 (2.0586)	Prec@1 47.656 (47.397)	Prec@5 79.688 (77.659)
Epoch: [60][480/14090]	Time 0.781 (0.778)	Data 0.001 (0.013)	Loss 2.0920 (2.0597)	Prec@1 48.438 (47.388)	Prec@5 75.781 (77.651)
Epoch: [60][490/14090]	Time 0.754 (0.778)	Data 0.001 (0.012)	Loss 2.0714 (2.0610)	Prec@1 53.906 (47.387)	Prec@5 77.344 (77.616)
Epoch: [60][500/14090]	Time 0.739 (0.778)	Data 0.001 (0.012)	Loss 2.0173 (2.0593)	Prec@1 50.781 (47.435)	Prec@5 74.219 (77.646)
Epoch: [60][510/14090]	Time 0.746 (0.778)	Data 0.001 (0.012)	Loss 2.0864 (2.0589)	Prec@1 44.531 (47.451)	Prec@5 80.469 (77.645)
Epoch: [60][520/14090]	Time 0.874 (0.778)	Data 0.001 (0.012)	Loss 2.1639 (2.0602)	Prec@1 44.531 (47.433)	Prec@5 73.438 (77.639)
Epoch: [60][530/14090]	Time 0.777 (0.777)	Data 0.001 (0.011)	Loss 1.9727 (2.0600)	Prec@1 48.438 (47.418)	Prec@5 78.125 (77.654)
Epoch: [60][540/14090]	Time 0.753 (0.777)	Data 0.001 (0.011)	Loss 2.0145 (2.0589)	Prec@1 41.406 (47.451)	Prec@5 84.375 (77.682)
Epoch: [60][550/14090]	Time 0.734 (0.777)	Data 0.001 (0.011)	Loss 2.0969 (2.0586)	Prec@1 46.094 (47.489)	Prec@5 76.562 (77.680)
Epoch: [60][560/14090]	Time 0.755 (0.777)	Data 0.001 (0.011)	Loss 2.3902 (2.0600)	Prec@1 42.969 (47.478)	Prec@5 72.656 (77.646)
Epoch: [60][570/14090]	Time 0.735 (0.777)	Data 0.001 (0.011)	Loss 2.0183 (2.0603)	Prec@1 51.562 (47.470)	Prec@5 76.562 (77.646)
Epoch: [60][580/14090]	Time 0.757 (0.776)	Data 0.001 (0.011)	Loss 2.1120 (2.0593)	Prec@1 46.875 (47.498)	Prec@5 75.000 (77.654)
Epoch: [60][590/14090]	Time 0.866 (0.776)	Data 0.001 (0.010)	Loss 1.9932 (2.0588)	Prec@1 50.781 (47.527)	Prec@5 78.906 (77.656)
Epoch: [60][600/14090]	Time 0.754 (0.776)	Data 0.001 (0.010)	Loss 1.8417 (2.0583)	Prec@1 54.688 (47.547)	Prec@5 79.688 (77.661)
Epoch: [60][610/14090]	Time 0.749 (0.776)	Data 0.001 (0.010)	Loss 2.0977 (2.0572)	Prec@1 40.625 (47.551)	Prec@5 76.562 (77.679)
Epoch: [60][620/14090]	Time 0.780 (0.776)	Data 0.001 (0.010)	Loss 2.1488 (2.0575)	Prec@1 46.875 (47.543)	Prec@5 75.781 (77.675)
Epoch: [60][630/14090]	Time 0.731 (0.776)	Data 0.001 (0.010)	Loss 2.1687 (2.0577)	Prec@1 46.875 (47.536)	Prec@5 77.344 (77.685)
Epoch: [60][640/14090]	Time 0.756 (0.776)	Data 0.001 (0.010)	Loss 1.7628 (2.0572)	Prec@1 57.031 (47.545)	Prec@5 81.250 (77.697)
Epoch: [60][650/14090]	Time 0.740 (0.776)	Data 0.001 (0.009)	Loss 2.0152 (2.0571)	Prec@1 57.812 (47.575)	Prec@5 75.781 (77.706)
Epoch: [60][660/14090]	Time 0.862 (0.775)	Data 0.001 (0.009)	Loss 1.9280 (2.0576)	Prec@1 53.906 (47.595)	Prec@5 77.344 (77.692)
Epoch: [60][670/14090]	Time 0.741 (0.775)	Data 0.001 (0.009)	Loss 1.9604 (2.0557)	Prec@1 50.781 (47.613)	Prec@5 83.594 (77.735)
Epoch: [60][680/14090]	Time 0.737 (0.775)	Data 0.001 (0.009)	Loss 1.8055 (2.0555)	Prec@1 51.562 (47.633)	Prec@5 81.250 (77.725)
Epoch: [60][690/14090]	Time 0.782 (0.775)	Data 0.001 (0.009)	Loss 1.9381 (2.0553)	Prec@1 47.656 (47.645)	Prec@5 82.812 (77.738)
Epoch: [60][700/14090]	Time 0.760 (0.775)	Data 0.001 (0.009)	Loss 2.1383 (2.0545)	Prec@1 49.219 (47.647)	Prec@5 78.906 (77.771)
Epoch: [60][710/14090]	Time 0.758 (0.775)	Data 0.001 (0.009)	Loss 2.1059 (2.0547)	Prec@1 47.656 (47.636)	Prec@5 76.562 (77.767)
Epoch: [60][720/14090]	Time 0.782 (0.775)	Data 0.001 (0.009)	Loss 2.0246 (2.0541)	Prec@1 50.000 (47.646)	Prec@5 82.812 (77.777)
Epoch: [60][730/14090]	Time 0.907 (0.775)	Data 0.002 (0.009)	Loss 2.1016 (2.0536)	Prec@1 39.844 (47.631)	Prec@5 77.344 (77.790)
Epoch: [60][740/14090]	Time 0.730 (0.775)	Data 0.001 (0.008)	Loss 2.2153 (2.0541)	Prec@1 41.406 (47.628)	Prec@5 72.656 (77.788)
Epoch: [60][750/14090]	Time 0.744 (0.775)	Data 0.002 (0.008)	Loss 2.1430 (2.0536)	Prec@1 46.094 (47.624)	Prec@5 78.906 (77.809)
Epoch: [60][760/14090]	Time 0.756 (0.775)	Data 0.001 (0.008)	Loss 2.3705 (2.0532)	Prec@1 42.188 (47.630)	Prec@5 71.875 (77.821)
Epoch: [60][770/14090]	Time 0.763 (0.775)	Data 0.001 (0.008)	Loss 1.9704 (2.0545)	Prec@1 52.344 (47.610)	Prec@5 79.688 (77.806)
Epoch: [60][780/14090]	Time 0.743 (0.775)	Data 0.001 (0.008)	Loss 2.0855 (2.0546)	Prec@1 46.094 (47.611)	Prec@5 81.250 (77.809)
Epoch: [60][790/14090]	Time 0.747 (0.774)	Data 0.001 (0.008)	Loss 2.0871 (2.0538)	Prec@1 45.312 (47.618)	Prec@5 78.125 (77.823)
Epoch: [60][800/14090]	Time 0.834 (0.774)	Data 0.001 (0.008)	Loss 2.1137 (2.0531)	Prec@1 49.219 (47.634)	Prec@5 78.125 (77.825)
Epoch: [60][810/14090]	Time 0.745 (0.774)	Data 0.001 (0.008)	Loss 2.2011 (2.0534)	Prec@1 46.094 (47.642)	Prec@5 71.875 (77.819)
Epoch: [60][820/14090]	Time 0.744 (0.774)	Data 0.001 (0.008)	Loss 2.0939 (2.0525)	Prec@1 44.531 (47.652)	Prec@5 71.094 (77.828)
Epoch: [60][830/14090]	Time 0.751 (0.774)	Data 0.001 (0.008)	Loss 2.0336 (2.0531)	Prec@1 46.094 (47.629)	Prec@5 76.562 (77.808)
Epoch: [60][840/14090]	Time 0.746 (0.774)	Data 0.001 (0.008)	Loss 2.0641 (2.0531)	Prec@1 44.531 (47.615)	Prec@5 75.781 (77.816)
Epoch: [60][850/14090]	Time 0.748 (0.774)	Data 0.001 (0.007)	Loss 2.0024 (2.0528)	Prec@1 43.750 (47.594)	Prec@5 78.906 (77.828)
Epoch: [60][860/14090]	Time 0.774 (0.774)	Data 0.001 (0.007)	Loss 1.9541 (2.0519)	Prec@1 51.562 (47.598)	Prec@5 78.125 (77.846)
Epoch: [60][870/14090]	Time 0.875 (0.774)	Data 0.001 (0.007)	Loss 1.8961 (2.0507)	Prec@1 46.875 (47.610)	Prec@5 85.156 (77.878)
Epoch: [60][880/14090]	Time 0.730 (0.774)	Data 0.001 (0.007)	Loss 1.9621 (2.0506)	Prec@1 42.188 (47.599)	Prec@5 82.031 (77.886)
Epoch: [60][890/14090]	Time 0.725 (0.773)	Data 0.001 (0.007)	Loss 1.8823 (2.0511)	Prec@1 55.469 (47.601)	Prec@5 79.688 (77.876)
Epoch: [60][900/14090]	Time 0.728 (0.774)	Data 0.001 (0.007)	Loss 1.7274 (2.0510)	Prec@1 47.656 (47.590)	Prec@5 82.812 (77.866)
Epoch: [60][910/14090]	Time 0.729 (0.773)	Data 0.001 (0.007)	Loss 1.9977 (2.0502)	Prec@1 46.875 (47.602)	Prec@5 79.688 (77.878)
Epoch: [60][920/14090]	Time 0.736 (0.773)	Data 0.001 (0.007)	Loss 2.2513 (2.0492)	Prec@1 42.969 (47.608)	Prec@5 71.875 (77.900)
Epoch: [60][930/14090]	Time 0.774 (0.773)	Data 0.001 (0.007)	Loss 1.9212 (2.0475)	Prec@1 53.125 (47.649)	Prec@5 78.125 (77.923)
Epoch: [60][940/14090]	Time 0.866 (0.773)	Data 0.001 (0.007)	Loss 2.1893 (2.0467)	Prec@1 45.312 (47.656)	Prec@5 69.531 (77.945)
Epoch: [60][950/14090]	Time 0.772 (0.773)	Data 0.001 (0.007)	Loss 1.9834 (2.0471)	Prec@1 50.781 (47.641)	Prec@5 82.031 (77.933)
Epoch: [60][960/14090]	Time 0.763 (0.773)	Data 0.001 (0.007)	Loss 1.8919 (2.0464)	Prec@1 52.344 (47.656)	Prec@5 73.438 (77.929)
Epoch: [60][970/14090]	Time 0.748 (0.773)	Data 0.001 (0.007)	Loss 2.0108 (2.0464)	Prec@1 51.562 (47.649)	Prec@5 75.781 (77.930)
Epoch: [60][980/14090]	Time 0.732 (0.773)	Data 0.001 (0.007)	Loss 2.0289 (2.0461)	Prec@1 46.094 (47.641)	Prec@5 78.906 (77.946)
Epoch: [60][990/14090]	Time 0.725 (0.773)	Data 0.001 (0.007)	Loss 1.9611 (2.0462)	Prec@1 51.562 (47.644)	Prec@5 81.250 (77.958)
Epoch: [60][1000/14090]	Time 0.764 (0.773)	Data 0.001 (0.006)	Loss 1.9917 (2.0460)	Prec@1 47.656 (47.648)	Prec@5 80.469 (77.979)
Epoch: [60][1010/14090]	Time 0.913 (0.773)	Data 0.001 (0.006)	Loss 2.2705 (2.0459)	Prec@1 48.438 (47.637)	Prec@5 75.000 (77.979)
Epoch: [60][1020/14090]	Time 0.739 (0.773)	Data 0.001 (0.006)	Loss 2.1137 (2.0461)	Prec@1 49.219 (47.636)	Prec@5 78.906 (77.978)
Epoch: [60][1030/14090]	Time 0.753 (0.773)	Data 0.001 (0.006)	Loss 2.2224 (2.0472)	Prec@1 47.656 (47.614)	Prec@5 73.438 (77.964)
Epoch: [60][1040/14090]	Time 0.733 (0.773)	Data 0.001 (0.006)	Loss 2.1133 (2.0473)	Prec@1 50.781 (47.629)	Prec@5 82.031 (77.962)
Epoch: [60][1050/14090]	Time 0.727 (0.773)	Data 0.001 (0.006)	Loss 1.8769 (2.0467)	Prec@1 47.656 (47.641)	Prec@5 78.125 (77.972)
Epoch: [60][1060/14090]	Time 0.746 (0.773)	Data 0.001 (0.006)	Loss 2.1826 (2.0463)	Prec@1 47.656 (47.663)	Prec@5 75.781 (77.978)
Epoch: [60][1070/14090]	Time 0.739 (0.772)	Data 0.001 (0.006)	Loss 2.3123 (2.0447)	Prec@1 39.844 (47.692)	Prec@5 75.781 (78.010)
Epoch: [60][1080/14090]	Time 0.888 (0.773)	Data 0.001 (0.006)	Loss 1.8951 (2.0449)	Prec@1 53.125 (47.692)	Prec@5 77.344 (78.003)
Epoch: [60][1090/14090]	Time 0.737 (0.772)	Data 0.001 (0.006)	Loss 1.6475 (2.0439)	Prec@1 56.250 (47.712)	Prec@5 84.375 (78.003)
Epoch: [60][1100/14090]	Time 0.743 (0.772)	Data 0.001 (0.006)	Loss 2.2252 (2.0433)	Prec@1 46.094 (47.720)	Prec@5 77.344 (78.014)
Epoch: [60][1110/14090]	Time 0.741 (0.772)	Data 0.001 (0.006)	Loss 1.9762 (2.0431)	Prec@1 42.969 (47.724)	Prec@5 77.344 (78.014)
Epoch: [60][1120/14090]	Time 0.749 (0.772)	Data 0.001 (0.006)	Loss 2.2641 (2.0431)	Prec@1 39.844 (47.710)	Prec@5 77.344 (78.011)
Epoch: [60][1130/14090]	Time 0.773 (0.772)	Data 0.001 (0.006)	Loss 2.2604 (2.0425)	Prec@1 40.625 (47.727)	Prec@5 71.875 (78.013)
Epoch: [60][1140/14090]	Time 0.753 (0.772)	Data 0.001 (0.006)	Loss 1.9796 (2.0422)	Prec@1 52.344 (47.740)	Prec@5 78.125 (78.009)
Epoch: [60][1150/14090]	Time 0.896 (0.772)	Data 0.001 (0.006)	Loss 2.2052 (2.0426)	Prec@1 44.531 (47.727)	Prec@5 75.000 (78.008)
Epoch: [60][1160/14090]	Time 0.739 (0.772)	Data 0.001 (0.006)	Loss 2.0616 (2.0428)	Prec@1 50.000 (47.746)	Prec@5 78.906 (78.008)
Epoch: [60][1170/14090]	Time 0.734 (0.772)	Data 0.001 (0.006)	Loss 1.7550 (2.0422)	Prec@1 53.906 (47.761)	Prec@5 82.812 (78.011)
Epoch: [60][1180/14090]	Time 0.761 (0.772)	Data 0.001 (0.006)	Loss 2.1456 (2.0427)	Prec@1 42.969 (47.752)	Prec@5 71.094 (77.999)
Epoch: [60][1190/14090]	Time 0.740 (0.772)	Data 0.001 (0.006)	Loss 1.9240 (2.0423)	Prec@1 49.219 (47.749)	Prec@5 78.906 (78.010)
Epoch: [60][1200/14090]	Time 0.758 (0.772)	Data 0.001 (0.006)	Loss 1.9381 (2.0414)	Prec@1 50.781 (47.771)	Prec@5 78.906 (78.023)
Epoch: [60][1210/14090]	Time 0.742 (0.772)	Data 0.001 (0.005)	Loss 1.8779 (2.0405)	Prec@1 46.875 (47.785)	Prec@5 79.688 (78.028)
Epoch: [60][1220/14090]	Time 0.876 (0.772)	Data 0.001 (0.005)	Loss 1.7443 (2.0405)	Prec@1 56.250 (47.789)	Prec@5 85.156 (78.035)
Epoch: [60][1230/14090]	Time 0.757 (0.772)	Data 0.000 (0.005)	Loss 2.2204 (2.0402)	Prec@1 38.281 (47.788)	Prec@5 75.000 (78.046)
Epoch: [60][1240/14090]	Time 0.737 (0.772)	Data 0.001 (0.005)	Loss 1.8774 (2.0402)	Prec@1 53.906 (47.787)	Prec@5 79.688 (78.046)
Epoch: [60][1250/14090]	Time 0.729 (0.772)	Data 0.001 (0.005)	Loss 2.0364 (2.0405)	Prec@1 46.094 (47.782)	Prec@5 78.906 (78.043)
Epoch: [60][1260/14090]	Time 0.753 (0.772)	Data 0.001 (0.005)	Loss 2.1301 (2.0401)	Prec@1 43.750 (47.793)	Prec@5 77.344 (78.060)
Epoch: [60][1270/14090]	Time 0.749 (0.772)	Data 0.001 (0.005)	Loss 1.9095 (2.0399)	Prec@1 53.125 (47.812)	Prec@5 79.688 (78.076)
Epoch: [60][1280/14090]	Time 0.739 (0.771)	Data 0.001 (0.005)	Loss 2.0605 (2.0397)	Prec@1 40.625 (47.810)	Prec@5 80.469 (78.077)
Epoch: [60][1290/14090]	Time 0.868 (0.771)	Data 0.001 (0.005)	Loss 1.9724 (2.0399)	Prec@1 52.344 (47.803)	Prec@5 79.688 (78.072)
Epoch: [60][1300/14090]	Time 0.732 (0.771)	Data 0.001 (0.005)	Loss 1.8091 (2.0395)	Prec@1 57.031 (47.816)	Prec@5 78.906 (78.078)
Epoch: [60][1310/14090]	Time 0.754 (0.771)	Data 0.001 (0.005)	Loss 1.7635 (2.0390)	Prec@1 55.469 (47.833)	Prec@5 84.375 (78.101)
Epoch: [60][1320/14090]	Time 0.743 (0.771)	Data 0.001 (0.005)	Loss 1.7194 (2.0386)	Prec@1 58.594 (47.851)	Prec@5 84.375 (78.102)
Epoch: [60][1330/14090]	Time 0.736 (0.771)	Data 0.001 (0.005)	Loss 1.8574 (2.0387)	Prec@1 51.562 (47.846)	Prec@5 79.688 (78.103)
Epoch: [60][1340/14090]	Time 0.738 (0.771)	Data 0.001 (0.005)	Loss 1.9610 (2.0387)	Prec@1 51.562 (47.847)	Prec@5 81.250 (78.106)
Epoch: [60][1350/14090]	Time 0.749 (0.771)	Data 0.001 (0.005)	Loss 1.9562 (2.0382)	Prec@1 47.656 (47.862)	Prec@5 79.688 (78.115)
Epoch: [60][1360/14090]	Time 0.884 (0.771)	Data 0.001 (0.005)	Loss 1.9766 (2.0377)	Prec@1 43.750 (47.880)	Prec@5 78.125 (78.120)
Epoch: [60][1370/14090]	Time 0.740 (0.771)	Data 0.001 (0.005)	Loss 1.7918 (2.0375)	Prec@1 55.469 (47.880)	Prec@5 81.250 (78.118)
Epoch: [60][1380/14090]	Time 0.751 (0.771)	Data 0.001 (0.005)	Loss 1.9673 (2.0373)	Prec@1 45.312 (47.885)	Prec@5 82.031 (78.106)
Epoch: [60][1390/14090]	Time 0.732 (0.771)	Data 0.001 (0.005)	Loss 2.2621 (2.0372)	Prec@1 42.188 (47.887)	Prec@5 75.000 (78.105)
Epoch: [60][1400/14090]	Time 0.784 (0.771)	Data 0.001 (0.005)	Loss 1.8968 (2.0371)	Prec@1 48.438 (47.886)	Prec@5 78.125 (78.108)
Epoch: [60][1410/14090]	Time 0.745 (0.771)	Data 0.001 (0.005)	Loss 2.0264 (2.0374)	Prec@1 51.562 (47.889)	Prec@5 75.781 (78.095)
Epoch: [60][1420/14090]	Time 0.732 (0.771)	Data 0.001 (0.005)	Loss 2.2200 (2.0375)	Prec@1 46.094 (47.890)	Prec@5 73.438 (78.100)
Epoch: [60][1430/14090]	Time 0.853 (0.771)	Data 0.001 (0.005)	Loss 2.1024 (2.0374)	Prec@1 48.438 (47.901)	Prec@5 77.344 (78.103)
Epoch: [60][1440/14090]	Time 0.733 (0.771)	Data 0.001 (0.005)	Loss 1.6967 (2.0367)	Prec@1 56.250 (47.911)	Prec@5 82.031 (78.108)
Epoch: [60][1450/14090]	Time 0.779 (0.771)	Data 0.001 (0.005)	Loss 2.0674 (2.0363)	Prec@1 45.312 (47.920)	Prec@5 78.125 (78.108)
Epoch: [60][1460/14090]	Time 0.764 (0.771)	Data 0.001 (0.005)	Loss 2.0647 (2.0360)	Prec@1 48.438 (47.923)	Prec@5 76.562 (78.113)
Epoch: [60][1470/14090]	Time 0.740 (0.771)	Data 0.001 (0.005)	Loss 2.0930 (2.0353)	Prec@1 55.469 (47.945)	Prec@5 76.562 (78.132)
Epoch: [60][1480/14090]	Time 0.764 (0.771)	Data 0.001 (0.005)	Loss 1.9240 (2.0351)	Prec@1 46.875 (47.951)	Prec@5 81.250 (78.154)
Epoch: [60][1490/14090]	Time 0.759 (0.771)	Data 0.001 (0.005)	Loss 1.9301 (2.0347)	Prec@1 52.344 (47.957)	Prec@5 78.906 (78.158)
Epoch: [60][1500/14090]	Time 0.867 (0.771)	Data 0.001 (0.005)	Loss 2.0393 (2.0349)	Prec@1 45.312 (47.954)	Prec@5 79.688 (78.150)
Epoch: [60][1510/14090]	Time 0.740 (0.771)	Data 0.001 (0.005)	Loss 2.0022 (2.0344)	Prec@1 46.875 (47.966)	Prec@5 80.469 (78.159)
Epoch: [60][1520/14090]	Time 0.784 (0.771)	Data 0.001 (0.005)	Loss 2.2141 (2.0342)	Prec@1 46.094 (47.976)	Prec@5 70.312 (78.158)
Epoch: [60][1530/14090]	Time 0.756 (0.771)	Data 0.001 (0.005)	Loss 1.8768 (2.0343)	Prec@1 54.688 (47.975)	Prec@5 78.906 (78.154)
Epoch: [60][1540/14090]	Time 0.737 (0.771)	Data 0.001 (0.004)	Loss 2.1022 (2.0335)	Prec@1 48.438 (47.995)	Prec@5 76.562 (78.168)
Epoch: [60][1550/14090]	Time 0.733 (0.771)	Data 0.001 (0.004)	Loss 1.7656 (2.0337)	Prec@1 54.688 (47.987)	Prec@5 82.812 (78.162)
Epoch: [60][1560/14090]	Time 0.728 (0.771)	Data 0.001 (0.004)	Loss 1.8129 (2.0334)	Prec@1 48.438 (47.992)	Prec@5 85.938 (78.169)
Epoch: [60][1570/14090]	Time 0.923 (0.771)	Data 0.001 (0.004)	Loss 1.9468 (2.0335)	Prec@1 48.438 (48.001)	Prec@5 82.031 (78.161)
Epoch: [60][1580/14090]	Time 0.728 (0.771)	Data 0.001 (0.004)	Loss 1.7959 (2.0331)	Prec@1 53.125 (48.020)	Prec@5 85.156 (78.178)
Epoch: [60][1590/14090]	Time 0.747 (0.771)	Data 0.001 (0.004)	Loss 1.8114 (2.0325)	Prec@1 50.000 (48.036)	Prec@5 81.250 (78.183)
Epoch: [60][1600/14090]	Time 0.747 (0.771)	Data 0.001 (0.004)	Loss 1.9446 (2.0322)	Prec@1 47.656 (48.036)	Prec@5 82.031 (78.197)
Epoch: [60][1610/14090]	Time 0.737 (0.770)	Data 0.001 (0.004)	Loss 2.1791 (2.0320)	Prec@1 48.438 (48.036)	Prec@5 78.906 (78.202)
Epoch: [60][1620/14090]	Time 0.741 (0.771)	Data 0.001 (0.004)	Loss 1.8164 (2.0318)	Prec@1 53.125 (48.034)	Prec@5 82.031 (78.204)
Epoch: [60][1630/14090]	Time 0.769 (0.770)	Data 0.001 (0.004)	Loss 1.8597 (2.0313)	Prec@1 49.219 (48.038)	Prec@5 80.469 (78.216)
Epoch: [60][1640/14090]	Time 0.892 (0.770)	Data 0.001 (0.004)	Loss 2.2067 (2.0313)	Prec@1 38.281 (48.032)	Prec@5 79.688 (78.216)
Epoch: [60][1650/14090]	Time 0.767 (0.770)	Data 0.001 (0.004)	Loss 1.7828 (2.0311)	Prec@1 59.375 (48.046)	Prec@5 79.688 (78.219)
Epoch: [60][1660/14090]	Time 0.742 (0.770)	Data 0.001 (0.004)	Loss 2.0012 (2.0306)	Prec@1 49.219 (48.055)	Prec@5 81.250 (78.228)
Epoch: [60][1670/14090]	Time 0.741 (0.770)	Data 0.001 (0.004)	Loss 2.0557 (2.0306)	Prec@1 49.219 (48.056)	Prec@5 77.344 (78.224)
Epoch: [60][1680/14090]	Time 0.725 (0.770)	Data 0.001 (0.004)	Loss 2.0186 (2.0308)	Prec@1 47.656 (48.058)	Prec@5 78.906 (78.220)
Epoch: [60][1690/14090]	Time 0.758 (0.770)	Data 0.001 (0.004)	Loss 1.9505 (2.0302)	Prec@1 47.656 (48.064)	Prec@5 76.562 (78.224)
Epoch: [60][1700/14090]	Time 0.760 (0.770)	Data 0.001 (0.004)	Loss 1.9700 (2.0299)	Prec@1 48.438 (48.070)	Prec@5 79.688 (78.237)
Epoch: [60][1710/14090]	Time 0.872 (0.770)	Data 0.001 (0.004)	Loss 2.1739 (2.0299)	Prec@1 48.438 (48.068)	Prec@5 67.969 (78.232)
Epoch: [60][1720/14090]	Time 0.740 (0.770)	Data 0.001 (0.004)	Loss 1.8966 (2.0294)	Prec@1 51.562 (48.078)	Prec@5 82.812 (78.243)
Epoch: [60][1730/14090]	Time 0.765 (0.770)	Data 0.001 (0.004)	Loss 2.2507 (2.0301)	Prec@1 41.406 (48.067)	Prec@5 75.781 (78.230)
Epoch: [60][1740/14090]	Time 0.733 (0.770)	Data 0.001 (0.004)	Loss 2.0628 (2.0299)	Prec@1 46.875 (48.068)	Prec@5 78.125 (78.234)
Epoch: [60][1750/14090]	Time 0.742 (0.770)	Data 0.001 (0.004)	Loss 1.9411 (2.0296)	Prec@1 52.344 (48.086)	Prec@5 80.469 (78.239)
Epoch: [60][1760/14090]	Time 0.764 (0.770)	Data 0.001 (0.004)	Loss 2.0890 (2.0296)	Prec@1 45.312 (48.082)	Prec@5 75.781 (78.242)
Epoch: [60][1770/14090]	Time 0.789 (0.770)	Data 0.001 (0.004)	Loss 1.8204 (2.0287)	Prec@1 50.781 (48.097)	Prec@5 74.219 (78.255)
Epoch: [60][1780/14090]	Time 0.858 (0.770)	Data 0.001 (0.004)	Loss 2.2781 (2.0290)	Prec@1 40.625 (48.085)	Prec@5 75.000 (78.253)
Epoch: [60][1790/14090]	Time 0.738 (0.770)	Data 0.001 (0.004)	Loss 1.9118 (2.0284)	Prec@1 46.094 (48.095)	Prec@5 82.031 (78.265)
Epoch: [60][1800/14090]	Time 0.760 (0.770)	Data 0.001 (0.004)	Loss 1.8803 (2.0278)	Prec@1 46.094 (48.107)	Prec@5 81.250 (78.277)
Epoch: [60][1810/14090]	Time 0.735 (0.770)	Data 0.001 (0.004)	Loss 1.9744 (2.0281)	Prec@1 52.344 (48.093)	Prec@5 78.906 (78.268)
Epoch: [60][1820/14090]	Time 0.766 (0.770)	Data 0.001 (0.004)	Loss 1.8765 (2.0281)	Prec@1 54.688 (48.098)	Prec@5 80.469 (78.273)
Epoch: [60][1830/14090]	Time 0.744 (0.770)	Data 0.001 (0.004)	Loss 2.1720 (2.0277)	Prec@1 48.438 (48.111)	Prec@5 77.344 (78.285)
Epoch: [60][1840/14090]	Time 0.760 (0.770)	Data 0.001 (0.004)	Loss 2.1325 (2.0279)	Prec@1 51.562 (48.112)	Prec@5 75.781 (78.285)
Epoch: [60][1850/14090]	Time 0.925 (0.770)	Data 0.001 (0.004)	Loss 1.9594 (2.0274)	Prec@1 49.219 (48.124)	Prec@5 80.469 (78.294)
Epoch: [60][1860/14090]	Time 0.739 (0.770)	Data 0.001 (0.004)	Loss 2.1677 (2.0277)	Prec@1 46.875 (48.126)	Prec@5 76.562 (78.286)
Epoch: [60][1870/14090]	Time 0.744 (0.770)	Data 0.001 (0.004)	Loss 2.0190 (2.0278)	Prec@1 47.656 (48.124)	Prec@5 80.469 (78.288)
Epoch: [60][1880/14090]	Time 0.722 (0.770)	Data 0.001 (0.004)	Loss 2.0095 (2.0276)	Prec@1 51.562 (48.126)	Prec@5 76.562 (78.288)
Epoch: [60][1890/14090]	Time 0.758 (0.770)	Data 0.001 (0.004)	Loss 1.8804 (2.0274)	Prec@1 53.906 (48.139)	Prec@5 77.344 (78.286)
Epoch: [60][1900/14090]	Time 0.755 (0.770)	Data 0.001 (0.004)	Loss 2.0453 (2.0267)	Prec@1 47.656 (48.143)	Prec@5 77.344 (78.304)
Epoch: [60][1910/14090]	Time 0.754 (0.770)	Data 0.001 (0.004)	Loss 2.3376 (2.0267)	Prec@1 46.094 (48.135)	Prec@5 72.656 (78.306)
Epoch: [60][1920/14090]	Time 0.850 (0.770)	Data 0.001 (0.004)	Loss 2.0332 (2.0267)	Prec@1 51.562 (48.132)	Prec@5 77.344 (78.309)
Epoch: [60][1930/14090]	Time 0.737 (0.770)	Data 0.001 (0.004)	Loss 2.2626 (2.0263)	Prec@1 43.750 (48.139)	Prec@5 75.781 (78.320)
Epoch: [60][1940/14090]	Time 0.753 (0.770)	Data 0.001 (0.004)	Loss 2.0830 (2.0260)	Prec@1 52.344 (48.156)	Prec@5 78.906 (78.327)
Epoch: [60][1950/14090]	Time 0.752 (0.770)	Data 0.001 (0.004)	Loss 1.6703 (2.0255)	Prec@1 54.688 (48.160)	Prec@5 83.594 (78.340)
Epoch: [60][1960/14090]	Time 0.731 (0.770)	Data 0.001 (0.004)	Loss 2.0841 (2.0251)	Prec@1 45.312 (48.172)	Prec@5 76.562 (78.347)
Epoch: [60][1970/14090]	Time 0.740 (0.770)	Data 0.001 (0.004)	Loss 1.9764 (2.0246)	Prec@1 48.438 (48.178)	Prec@5 82.812 (78.358)
Epoch: [60][1980/14090]	Time 0.764 (0.770)	Data 0.001 (0.004)	Loss 2.1536 (2.0250)	Prec@1 43.750 (48.169)	Prec@5 75.781 (78.346)
Epoch: [60][1990/14090]	Time 0.854 (0.770)	Data 0.001 (0.004)	Loss 1.7678 (2.0249)	Prec@1 56.250 (48.170)	Prec@5 78.125 (78.349)
Epoch: [60][2000/14090]	Time 0.740 (0.770)	Data 0.001 (0.004)	Loss 2.0137 (2.0248)	Prec@1 50.781 (48.178)	Prec@5 81.250 (78.348)
Epoch: [60][2010/14090]	Time 0.746 (0.770)	Data 0.001 (0.004)	Loss 1.8598 (2.0249)	Prec@1 53.906 (48.182)	Prec@5 81.250 (78.344)
Epoch: [60][2020/14090]	Time 0.760 (0.770)	Data 0.001 (0.004)	Loss 1.9879 (2.0248)	Prec@1 50.000 (48.183)	Prec@5 76.562 (78.346)
Epoch: [60][2030/14090]	Time 0.745 (0.770)	Data 0.001 (0.004)	Loss 1.8651 (2.0246)	Prec@1 51.562 (48.187)	Prec@5 85.156 (78.349)
Epoch: [60][2040/14090]	Time 0.746 (0.770)	Data 0.001 (0.004)	Loss 2.2375 (2.0243)	Prec@1 40.625 (48.189)	Prec@5 76.562 (78.358)
Epoch: [60][2050/14090]	Time 0.730 (0.770)	Data 0.001 (0.004)	Loss 2.2406 (2.0241)	Prec@1 46.094 (48.194)	Prec@5 76.562 (78.361)
Epoch: [60][2060/14090]	Time 0.865 (0.770)	Data 0.001 (0.004)	Loss 1.8900 (2.0243)	Prec@1 50.781 (48.202)	Prec@5 79.688 (78.354)
Epoch: [60][2070/14090]	Time 0.738 (0.770)	Data 0.001 (0.004)	Loss 2.1450 (2.0241)	Prec@1 42.969 (48.200)	Prec@5 75.781 (78.350)
Epoch: [60][2080/14090]	Time 0.728 (0.769)	Data 0.001 (0.004)	Loss 1.8378 (2.0240)	Prec@1 50.781 (48.202)	Prec@5 84.375 (78.352)
Epoch: [60][2090/14090]	Time 0.747 (0.770)	Data 0.001 (0.004)	Loss 1.9769 (2.0243)	Prec@1 50.781 (48.198)	Prec@5 80.469 (78.344)
Epoch: [60][2100/14090]	Time 0.739 (0.769)	Data 0.001 (0.004)	Loss 1.8639 (2.0241)	Prec@1 49.219 (48.205)	Prec@5 81.250 (78.348)
Epoch: [60][2110/14090]	Time 0.733 (0.769)	Data 0.001 (0.004)	Loss 1.9627 (2.0243)	Prec@1 44.531 (48.191)	Prec@5 78.906 (78.345)
Epoch: [60][2120/14090]	Time 0.803 (0.769)	Data 0.001 (0.003)	Loss 2.0713 (2.0244)	Prec@1 45.312 (48.187)	Prec@5 72.656 (78.340)
Epoch: [60][2130/14090]	Time 0.874 (0.769)	Data 0.001 (0.003)	Loss 2.0523 (2.0238)	Prec@1 50.781 (48.201)	Prec@5 75.000 (78.350)
Epoch: [60][2140/14090]	Time 0.762 (0.769)	Data 0.001 (0.003)	Loss 2.0350 (2.0240)	Prec@1 47.656 (48.197)	Prec@5 78.906 (78.348)
Epoch: [60][2150/14090]	Time 0.732 (0.769)	Data 0.001 (0.003)	Loss 1.8709 (2.0240)	Prec@1 53.125 (48.202)	Prec@5 83.594 (78.351)
Epoch: [60][2160/14090]	Time 0.731 (0.769)	Data 0.001 (0.003)	Loss 2.2227 (2.0236)	Prec@1 42.188 (48.203)	Prec@5 75.781 (78.363)
Epoch: [60][2170/14090]	Time 0.726 (0.769)	Data 0.001 (0.003)	Loss 1.8757 (2.0239)	Prec@1 53.906 (48.195)	Prec@5 79.688 (78.360)
Epoch: [60][2180/14090]	Time 0.738 (0.769)	Data 0.001 (0.003)	Loss 2.0935 (2.0236)	Prec@1 50.000 (48.200)	Prec@5 73.438 (78.365)
Epoch: [60][2190/14090]	Time 0.730 (0.769)	Data 0.001 (0.003)	Loss 1.9931 (2.0235)	Prec@1 46.094 (48.201)	Prec@5 75.781 (78.361)
Epoch: [60][2200/14090]	Time 0.872 (0.769)	Data 0.001 (0.003)	Loss 1.8183 (2.0231)	Prec@1 55.469 (48.209)	Prec@5 80.469 (78.370)
Epoch: [60][2210/14090]	Time 0.735 (0.769)	Data 0.001 (0.003)	Loss 1.9376 (2.0228)	Prec@1 53.906 (48.213)	Prec@5 79.688 (78.375)
Epoch: [60][2220/14090]	Time 0.729 (0.769)	Data 0.001 (0.003)	Loss 2.1414 (2.0231)	Prec@1 48.438 (48.207)	Prec@5 75.000 (78.363)
Epoch: [60][2230/14090]	Time 0.744 (0.769)	Data 0.001 (0.003)	Loss 1.6663 (2.0226)	Prec@1 59.375 (48.218)	Prec@5 79.688 (78.371)
Epoch: [60][2240/14090]	Time 0.775 (0.769)	Data 0.001 (0.003)	Loss 2.1989 (2.0227)	Prec@1 47.656 (48.214)	Prec@5 73.438 (78.366)
Epoch: [60][2250/14090]	Time 0.758 (0.769)	Data 0.001 (0.003)	Loss 2.1188 (2.0227)	Prec@1 45.312 (48.212)	Prec@5 82.812 (78.366)
Epoch: [60][2260/14090]	Time 0.758 (0.769)	Data 0.001 (0.003)	Loss 2.0606 (2.0230)	Prec@1 51.562 (48.208)	Prec@5 82.812 (78.358)
Epoch: [60][2270/14090]	Time 0.870 (0.769)	Data 0.001 (0.003)	Loss 2.2478 (2.0228)	Prec@1 44.531 (48.207)	Prec@5 71.875 (78.361)
Epoch: [60][2280/14090]	Time 0.743 (0.769)	Data 0.001 (0.003)	Loss 2.0746 (2.0228)	Prec@1 51.562 (48.208)	Prec@5 76.562 (78.356)
Epoch: [60][2290/14090]	Time 0.773 (0.769)	Data 0.001 (0.003)	Loss 2.0157 (2.0226)	Prec@1 50.000 (48.223)	Prec@5 79.688 (78.359)
Epoch: [60][2300/14090]	Time 0.738 (0.769)	Data 0.001 (0.003)	Loss 1.9062 (2.0221)	Prec@1 48.438 (48.229)	Prec@5 78.906 (78.363)
Epoch: [60][2310/14090]	Time 0.732 (0.769)	Data 0.001 (0.003)	Loss 1.6802 (2.0220)	Prec@1 57.812 (48.229)	Prec@5 85.156 (78.368)
Epoch: [60][2320/14090]	Time 0.741 (0.769)	Data 0.001 (0.003)	Loss 2.0618 (2.0223)	Prec@1 44.531 (48.220)	Prec@5 82.812 (78.364)
Epoch: [60][2330/14090]	Time 0.752 (0.769)	Data 0.001 (0.003)	Loss 2.0714 (2.0223)	Prec@1 42.969 (48.216)	Prec@5 76.562 (78.370)
Epoch: [60][2340/14090]	Time 0.844 (0.769)	Data 0.001 (0.003)	Loss 2.1148 (2.0223)	Prec@1 42.188 (48.212)	Prec@5 75.781 (78.371)
Epoch: [60][2350/14090]	Time 0.748 (0.769)	Data 0.001 (0.003)	Loss 2.0796 (2.0223)	Prec@1 43.750 (48.211)	Prec@5 78.125 (78.374)
Epoch: [60][2360/14090]	Time 0.749 (0.769)	Data 0.001 (0.003)	Loss 1.8332 (2.0224)	Prec@1 48.438 (48.204)	Prec@5 82.812 (78.376)
Epoch: [60][2370/14090]	Time 0.731 (0.769)	Data 0.001 (0.003)	Loss 1.9959 (2.0221)	Prec@1 49.219 (48.214)	Prec@5 73.438 (78.382)
Epoch: [60][2380/14090]	Time 0.750 (0.769)	Data 0.001 (0.003)	Loss 2.1402 (2.0220)	Prec@1 46.094 (48.216)	Prec@5 74.219 (78.385)
Epoch: [60][2390/14090]	Time 0.757 (0.769)	Data 0.001 (0.003)	Loss 1.8375 (2.0219)	Prec@1 50.781 (48.212)	Prec@5 83.594 (78.389)
Epoch: [60][2400/14090]	Time 0.763 (0.769)	Data 0.001 (0.003)	Loss 1.9393 (2.0217)	Prec@1 51.562 (48.220)	Prec@5 82.031 (78.394)
Epoch: [60][2410/14090]	Time 0.870 (0.769)	Data 0.001 (0.003)	Loss 1.8162 (2.0216)	Prec@1 52.344 (48.222)	Prec@5 85.156 (78.397)
Epoch: [60][2420/14090]	Time 0.741 (0.769)	Data 0.001 (0.003)	Loss 2.0655 (2.0212)	Prec@1 51.562 (48.241)	Prec@5 77.344 (78.401)
Epoch: [60][2430/14090]	Time 0.742 (0.769)	Data 0.001 (0.003)	Loss 1.9960 (2.0208)	Prec@1 51.562 (48.251)	Prec@5 78.125 (78.407)
Epoch: [60][2440/14090]	Time 0.753 (0.769)	Data 0.001 (0.003)	Loss 2.1211 (2.0209)	Prec@1 50.000 (48.245)	Prec@5 80.469 (78.410)
Epoch: [60][2450/14090]	Time 0.750 (0.769)	Data 0.001 (0.003)	Loss 1.9832 (2.0209)	Prec@1 45.312 (48.246)	Prec@5 79.688 (78.408)
Epoch: [60][2460/14090]	Time 0.758 (0.769)	Data 0.001 (0.003)	Loss 2.3705 (2.0208)	Prec@1 40.625 (48.249)	Prec@5 74.219 (78.411)
Epoch: [60][2470/14090]	Time 0.742 (0.769)	Data 0.001 (0.003)	Loss 1.6608 (2.0203)	Prec@1 53.906 (48.256)	Prec@5 84.375 (78.418)
Epoch: [60][2480/14090]	Time 0.868 (0.769)	Data 0.001 (0.003)	Loss 1.9650 (2.0201)	Prec@1 53.906 (48.261)	Prec@5 82.031 (78.425)
Epoch: [60][2490/14090]	Time 0.765 (0.769)	Data 0.001 (0.003)	Loss 1.9335 (2.0202)	Prec@1 49.219 (48.260)	Prec@5 80.469 (78.424)
Epoch: [60][2500/14090]	Time 0.753 (0.769)	Data 0.001 (0.003)	Loss 2.0418 (2.0198)	Prec@1 46.094 (48.272)	Prec@5 75.781 (78.430)
Epoch: [60][2510/14090]	Time 0.718 (0.769)	Data 0.001 (0.003)	Loss 1.9396 (2.0195)	Prec@1 50.000 (48.280)	Prec@5 78.125 (78.433)
Epoch: [60][2520/14090]	Time 0.724 (0.769)	Data 0.001 (0.003)	Loss 2.1447 (2.0197)	Prec@1 48.438 (48.283)	Prec@5 78.906 (78.433)
Epoch: [60][2530/14090]	Time 0.740 (0.769)	Data 0.002 (0.003)	Loss 2.0176 (2.0199)	Prec@1 51.562 (48.279)	Prec@5 77.344 (78.427)
Epoch: [60][2540/14090]	Time 0.752 (0.769)	Data 0.001 (0.003)	Loss 1.8071 (2.0197)	Prec@1 50.781 (48.278)	Prec@5 82.812 (78.436)
Epoch: [60][2550/14090]	Time 0.882 (0.769)	Data 0.001 (0.003)	Loss 2.0092 (2.0196)	Prec@1 47.656 (48.280)	Prec@5 78.125 (78.439)
Epoch: [60][2560/14090]	Time 0.760 (0.769)	Data 0.001 (0.003)	Loss 2.0985 (2.0194)	Prec@1 46.875 (48.288)	Prec@5 75.000 (78.446)
Epoch: [60][2570/14090]	Time 0.756 (0.769)	Data 0.001 (0.003)	Loss 1.9634 (2.0195)	Prec@1 48.438 (48.288)	Prec@5 80.469 (78.442)
Epoch: [60][2580/14090]	Time 0.731 (0.769)	Data 0.001 (0.003)	Loss 2.2557 (2.0196)	Prec@1 42.969 (48.286)	Prec@5 80.469 (78.441)
Epoch: [60][2590/14090]	Time 0.733 (0.769)	Data 0.001 (0.003)	Loss 1.9562 (2.0201)	Prec@1 44.531 (48.274)	Prec@5 77.344 (78.430)
Epoch: [60][2600/14090]	Time 0.747 (0.769)	Data 0.001 (0.003)	Loss 1.7495 (2.0200)	Prec@1 50.781 (48.274)	Prec@5 81.250 (78.430)
Epoch: [60][2610/14090]	Time 0.733 (0.769)	Data 0.001 (0.003)	Loss 1.8174 (2.0200)	Prec@1 54.688 (48.275)	Prec@5 81.250 (78.431)
Epoch: [60][2620/14090]	Time 0.821 (0.769)	Data 0.001 (0.003)	Loss 2.1183 (2.0199)	Prec@1 46.875 (48.277)	Prec@5 73.438 (78.433)
Epoch: [60][2630/14090]	Time 0.768 (0.769)	Data 0.001 (0.003)	Loss 1.9475 (2.0202)	Prec@1 45.312 (48.263)	Prec@5 83.594 (78.431)
Epoch: [60][2640/14090]	Time 0.777 (0.769)	Data 0.001 (0.003)	Loss 2.1705 (2.0203)	Prec@1 45.312 (48.264)	Prec@5 74.219 (78.432)
Epoch: [60][2650/14090]	Time 0.723 (0.769)	Data 0.001 (0.003)	Loss 1.7579 (2.0199)	Prec@1 53.906 (48.268)	Prec@5 81.250 (78.444)
Epoch: [60][2660/14090]	Time 0.755 (0.769)	Data 0.001 (0.003)	Loss 2.0451 (2.0198)	Prec@1 53.125 (48.275)	Prec@5 78.125 (78.447)
Epoch: [60][2670/14090]	Time 0.734 (0.769)	Data 0.001 (0.003)	Loss 2.2565 (2.0197)	Prec@1 42.969 (48.265)	Prec@5 75.781 (78.452)
Epoch: [60][2680/14090]	Time 0.754 (0.769)	Data 0.001 (0.003)	Loss 1.8604 (2.0195)	Prec@1 50.000 (48.273)	Prec@5 83.594 (78.455)
Epoch: [60][2690/14090]	Time 0.890 (0.769)	Data 0.001 (0.003)	Loss 2.0025 (2.0197)	Prec@1 49.219 (48.273)	Prec@5 76.562 (78.451)
Epoch: [60][2700/14090]	Time 0.731 (0.769)	Data 0.001 (0.003)	Loss 1.8598 (2.0198)	Prec@1 50.781 (48.271)	Prec@5 84.375 (78.450)
Epoch: [60][2710/14090]	Time 0.738 (0.769)	Data 0.001 (0.003)	Loss 1.6995 (2.0196)	Prec@1 58.594 (48.276)	Prec@5 85.156 (78.457)
Epoch: [60][2720/14090]	Time 0.735 (0.769)	Data 0.001 (0.003)	Loss 2.0083 (2.0193)	Prec@1 48.438 (48.284)	Prec@5 78.906 (78.463)
Epoch: [60][2730/14090]	Time 0.735 (0.769)	Data 0.001 (0.003)	Loss 1.9994 (2.0194)	Prec@1 52.344 (48.288)	Prec@5 77.344 (78.458)
Epoch: [60][2740/14090]	Time 0.733 (0.769)	Data 0.001 (0.003)	Loss 2.1532 (2.0192)	Prec@1 42.969 (48.290)	Prec@5 75.781 (78.462)
Epoch: [60][2750/14090]	Time 0.725 (0.769)	Data 0.001 (0.003)	Loss 2.2505 (2.0190)	Prec@1 41.406 (48.294)	Prec@5 75.781 (78.467)
Epoch: [60][2760/14090]	Time 0.909 (0.769)	Data 0.001 (0.003)	Loss 1.9240 (2.0188)	Prec@1 50.781 (48.297)	Prec@5 81.250 (78.469)
Epoch: [60][2770/14090]	Time 0.764 (0.769)	Data 0.001 (0.003)	Loss 1.7451 (2.0186)	Prec@1 58.594 (48.300)	Prec@5 80.469 (78.471)
Epoch: [60][2780/14090]	Time 0.744 (0.769)	Data 0.001 (0.003)	Loss 1.9011 (2.0184)	Prec@1 55.469 (48.303)	Prec@5 78.906 (78.474)
Epoch: [60][2790/14090]	Time 0.755 (0.769)	Data 0.001 (0.003)	Loss 2.0520 (2.0183)	Prec@1 46.875 (48.301)	Prec@5 78.125 (78.479)
Epoch: [60][2800/14090]	Time 0.741 (0.769)	Data 0.001 (0.003)	Loss 2.0173 (2.0181)	Prec@1 42.188 (48.304)	Prec@5 82.031 (78.485)
Epoch: [60][2810/14090]	Time 0.731 (0.769)	Data 0.001 (0.003)	Loss 1.6922 (2.0178)	Prec@1 57.031 (48.310)	Prec@5 85.156 (78.489)
Epoch: [60][2820/14090]	Time 0.728 (0.769)	Data 0.001 (0.003)	Loss 2.1563 (2.0175)	Prec@1 45.312 (48.320)	Prec@5 75.000 (78.489)
Epoch: [60][2830/14090]	Time 0.855 (0.769)	Data 0.001 (0.003)	Loss 2.5405 (2.0173)	Prec@1 39.062 (48.320)	Prec@5 66.406 (78.490)
Epoch: [60][2840/14090]	Time 0.736 (0.769)	Data 0.001 (0.003)	Loss 2.1621 (2.0174)	Prec@1 48.438 (48.324)	Prec@5 71.875 (78.487)
Epoch: [60][2850/14090]	Time 0.728 (0.769)	Data 0.001 (0.003)	Loss 1.9484 (2.0176)	Prec@1 50.000 (48.325)	Prec@5 80.469 (78.482)
Epoch: [60][2860/14090]	Time 0.781 (0.769)	Data 0.001 (0.003)	Loss 1.8077 (2.0173)	Prec@1 57.031 (48.323)	Prec@5 83.594 (78.489)
Epoch: [60][2870/14090]	Time 0.732 (0.769)	Data 0.001 (0.003)	Loss 2.0900 (2.0172)	Prec@1 50.000 (48.328)	Prec@5 75.781 (78.492)
Epoch: [60][2880/14090]	Time 0.739 (0.769)	Data 0.001 (0.003)	Loss 1.9042 (2.0174)	Prec@1 53.125 (48.327)	Prec@5 81.250 (78.487)
Epoch: [60][2890/14090]	Time 0.735 (0.769)	Data 0.001 (0.003)	Loss 1.9689 (2.0172)	Prec@1 47.656 (48.331)	Prec@5 77.344 (78.492)
Epoch: [60][2900/14090]	Time 0.816 (0.769)	Data 0.001 (0.003)	Loss 1.8666 (2.0167)	Prec@1 55.469 (48.344)	Prec@5 78.906 (78.499)
Epoch: [60][2910/14090]	Time 0.749 (0.769)	Data 0.001 (0.003)	Loss 2.2632 (2.0165)	Prec@1 42.188 (48.354)	Prec@5 75.781 (78.502)
Epoch: [60][2920/14090]	Time 0.755 (0.769)	Data 0.001 (0.003)	Loss 2.0009 (2.0165)	Prec@1 42.969 (48.352)	Prec@5 78.125 (78.498)
Epoch: [60][2930/14090]	Time 0.782 (0.769)	Data 0.001 (0.003)	Loss 1.9078 (2.0162)	Prec@1 43.750 (48.359)	Prec@5 80.469 (78.499)
Epoch: [60][2940/14090]	Time 0.734 (0.769)	Data 0.001 (0.003)	Loss 2.0331 (2.0163)	Prec@1 50.781 (48.357)	Prec@5 78.125 (78.498)
Epoch: [60][2950/14090]	Time 0.742 (0.769)	Data 0.000 (0.003)	Loss 1.9115 (2.0161)	Prec@1 52.344 (48.361)	Prec@5 78.125 (78.500)
Epoch: [60][2960/14090]	Time 0.769 (0.769)	Data 0.001 (0.003)	Loss 2.0027 (2.0159)	Prec@1 46.094 (48.365)	Prec@5 75.781 (78.505)
Epoch: [60][2970/14090]	Time 0.857 (0.769)	Data 0.001 (0.003)	Loss 1.9118 (2.0160)	Prec@1 46.875 (48.363)	Prec@5 85.938 (78.508)
Epoch: [60][2980/14090]	Time 0.727 (0.769)	Data 0.001 (0.003)	Loss 1.9138 (2.0159)	Prec@1 49.219 (48.363)	Prec@5 84.375 (78.511)
Epoch: [60][2990/14090]	Time 0.741 (0.769)	Data 0.001 (0.003)	Loss 2.0170 (2.0161)	Prec@1 47.656 (48.357)	Prec@5 78.906 (78.514)
Epoch: [60][3000/14090]	Time 0.752 (0.769)	Data 0.001 (0.003)	Loss 1.9104 (2.0157)	Prec@1 57.031 (48.371)	Prec@5 76.562 (78.518)
Epoch: [60][3010/14090]	Time 0.733 (0.769)	Data 0.001 (0.003)	Loss 2.3456 (2.0160)	Prec@1 42.188 (48.362)	Prec@5 67.969 (78.510)
Epoch: [60][3020/14090]	Time 0.747 (0.769)	Data 0.001 (0.003)	Loss 2.0599 (2.0161)	Prec@1 49.219 (48.357)	Prec@5 78.125 (78.509)
Epoch: [60][3030/14090]	Time 0.741 (0.769)	Data 0.002 (0.003)	Loss 2.1726 (2.0161)	Prec@1 50.000 (48.358)	Prec@5 75.781 (78.510)
Epoch: [60][3040/14090]	Time 0.855 (0.769)	Data 0.001 (0.003)	Loss 2.2324 (2.0161)	Prec@1 38.281 (48.358)	Prec@5 74.219 (78.511)
Epoch: [60][3050/14090]	Time 0.733 (0.769)	Data 0.001 (0.003)	Loss 1.9602 (2.0158)	Prec@1 43.750 (48.362)	Prec@5 76.562 (78.514)
Epoch: [60][3060/14090]	Time 0.755 (0.769)	Data 0.001 (0.003)	Loss 2.0150 (2.0158)	Prec@1 46.875 (48.363)	Prec@5 78.906 (78.518)
Epoch: [60][3070/14090]	Time 0.764 (0.769)	Data 0.001 (0.003)	Loss 1.8774 (2.0156)	Prec@1 49.219 (48.368)	Prec@5 82.031 (78.517)
Epoch: [60][3080/14090]	Time 0.740 (0.769)	Data 0.001 (0.003)	Loss 2.0375 (2.0154)	Prec@1 45.312 (48.376)	Prec@5 76.562 (78.519)
Epoch: [60][3090/14090]	Time 0.744 (0.769)	Data 0.001 (0.003)	Loss 1.9043 (2.0152)	Prec@1 54.688 (48.380)	Prec@5 78.906 (78.522)
Epoch: [60][3100/14090]	Time 0.752 (0.769)	Data 0.001 (0.003)	Loss 2.0330 (2.0153)	Prec@1 49.219 (48.379)	Prec@5 78.125 (78.519)
Epoch: [60][3110/14090]	Time 0.858 (0.769)	Data 0.001 (0.003)	Loss 1.7957 (2.0151)	Prec@1 52.344 (48.384)	Prec@5 83.594 (78.522)
Epoch: [60][3120/14090]	Time 0.736 (0.769)	Data 0.001 (0.003)	Loss 1.9482 (2.0149)	Prec@1 45.312 (48.386)	Prec@5 80.469 (78.525)
Epoch: [60][3130/14090]	Time 0.740 (0.768)	Data 0.001 (0.003)	Loss 2.0448 (2.0150)	Prec@1 43.750 (48.382)	Prec@5 73.438 (78.519)
Epoch: [60][3140/14090]	Time 0.737 (0.769)	Data 0.001 (0.003)	Loss 1.9931 (2.0147)	Prec@1 49.219 (48.392)	Prec@5 81.250 (78.525)
Epoch: [60][3150/14090]	Time 0.746 (0.769)	Data 0.001 (0.003)	Loss 1.8996 (2.0150)	Prec@1 49.219 (48.387)	Prec@5 80.469 (78.519)
Epoch: [60][3160/14090]	Time 0.739 (0.769)	Data 0.001 (0.003)	Loss 1.9268 (2.0150)	Prec@1 53.125 (48.392)	Prec@5 82.812 (78.517)
Epoch: [60][3170/14090]	Time 0.741 (0.768)	Data 0.001 (0.003)	Loss 2.1995 (2.0148)	Prec@1 48.438 (48.393)	Prec@5 73.438 (78.520)
Epoch: [60][3180/14090]	Time 0.853 (0.769)	Data 0.001 (0.003)	Loss 1.7011 (2.0145)	Prec@1 53.906 (48.401)	Prec@5 85.156 (78.529)
Epoch: [60][3190/14090]	Time 0.755 (0.769)	Data 0.001 (0.003)	Loss 2.0880 (2.0143)	Prec@1 40.625 (48.409)	Prec@5 75.781 (78.530)
Epoch: [60][3200/14090]	Time 0.766 (0.769)	Data 0.001 (0.003)	Loss 2.0380 (2.0140)	Prec@1 44.531 (48.414)	Prec@5 75.781 (78.534)
Epoch: [60][3210/14090]	Time 0.736 (0.769)	Data 0.001 (0.003)	Loss 2.1492 (2.0139)	Prec@1 43.750 (48.415)	Prec@5 75.000 (78.535)
Epoch: [60][3220/14090]	Time 0.741 (0.769)	Data 0.001 (0.003)	Loss 2.1235 (2.0139)	Prec@1 46.094 (48.411)	Prec@5 72.656 (78.535)
Epoch: [60][3230/14090]	Time 0.747 (0.769)	Data 0.001 (0.003)	Loss 1.8111 (2.0136)	Prec@1 52.344 (48.416)	Prec@5 81.250 (78.539)
Epoch: [60][3240/14090]	Time 0.740 (0.769)	Data 0.001 (0.003)	Loss 1.6453 (2.0135)	Prec@1 53.125 (48.413)	Prec@5 84.375 (78.541)
Epoch: [60][3250/14090]	Time 0.864 (0.769)	Data 0.001 (0.003)	Loss 2.1194 (2.0134)	Prec@1 46.094 (48.416)	Prec@5 80.469 (78.542)
Epoch: [60][3260/14090]	Time 0.758 (0.769)	Data 0.001 (0.003)	Loss 2.0859 (2.0131)	Prec@1 46.875 (48.420)	Prec@5 78.125 (78.550)
Epoch: [60][3270/14090]	Time 0.731 (0.769)	Data 0.001 (0.003)	Loss 2.0651 (2.0131)	Prec@1 48.438 (48.415)	Prec@5 76.562 (78.549)
Epoch: [60][3280/14090]	Time 0.731 (0.769)	Data 0.001 (0.003)	Loss 2.0228 (2.0129)	Prec@1 48.438 (48.424)	Prec@5 82.031 (78.551)
Epoch: [60][3290/14090]	Time 0.728 (0.768)	Data 0.001 (0.003)	Loss 1.4154 (2.0127)	Prec@1 64.062 (48.427)	Prec@5 85.156 (78.553)
Epoch: [60][3300/14090]	Time 0.755 (0.768)	Data 0.001 (0.003)	Loss 2.5165 (2.0127)	Prec@1 42.188 (48.429)	Prec@5 68.750 (78.552)
Epoch: [60][3310/14090]	Time 0.765 (0.768)	Data 0.001 (0.003)	Loss 1.8379 (2.0127)	Prec@1 49.219 (48.430)	Prec@5 82.031 (78.550)
Epoch: [60][3320/14090]	Time 0.943 (0.769)	Data 0.001 (0.003)	Loss 1.8815 (2.0127)	Prec@1 48.438 (48.429)	Prec@5 78.906 (78.549)
Epoch: [60][3330/14090]	Time 0.745 (0.768)	Data 0.001 (0.003)	Loss 1.9894 (2.0127)	Prec@1 46.875 (48.427)	Prec@5 80.469 (78.549)
Epoch: [60][3340/14090]	Time 0.733 (0.768)	Data 0.001 (0.003)	Loss 1.9942 (2.0127)	Prec@1 53.125 (48.424)	Prec@5 82.031 (78.549)
Epoch: [60][3350/14090]	Time 0.749 (0.768)	Data 0.001 (0.003)	Loss 2.0924 (2.0129)	Prec@1 45.312 (48.422)	Prec@5 76.562 (78.546)
Epoch: [60][3360/14090]	Time 0.722 (0.768)	Data 0.001 (0.003)	Loss 2.0058 (2.0128)	Prec@1 50.000 (48.420)	Prec@5 79.688 (78.547)
Epoch: [60][3370/14090]	Time 0.730 (0.768)	Data 0.001 (0.003)	Loss 1.9934 (2.0125)	Prec@1 46.094 (48.424)	Prec@5 75.000 (78.549)
Epoch: [60][3380/14090]	Time 0.751 (0.768)	Data 0.001 (0.003)	Loss 2.0008 (2.0124)	Prec@1 48.438 (48.424)	Prec@5 76.562 (78.551)
Epoch: [60][3390/14090]	Time 0.860 (0.768)	Data 0.001 (0.002)	Loss 1.8524 (2.0127)	Prec@1 59.375 (48.424)	Prec@5 81.250 (78.550)
Epoch: [60][3400/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 1.9610 (2.0125)	Prec@1 53.906 (48.427)	Prec@5 80.469 (78.553)
Epoch: [60][3410/14090]	Time 0.745 (0.768)	Data 0.001 (0.002)	Loss 1.8602 (2.0128)	Prec@1 47.656 (48.427)	Prec@5 87.500 (78.548)
Epoch: [60][3420/14090]	Time 0.732 (0.768)	Data 0.001 (0.002)	Loss 1.8873 (2.0127)	Prec@1 47.656 (48.430)	Prec@5 79.688 (78.550)
Epoch: [60][3430/14090]	Time 0.733 (0.768)	Data 0.001 (0.002)	Loss 2.2420 (2.0127)	Prec@1 42.188 (48.430)	Prec@5 71.875 (78.547)
Epoch: [60][3440/14090]	Time 0.764 (0.768)	Data 0.001 (0.002)	Loss 1.8601 (2.0127)	Prec@1 47.656 (48.430)	Prec@5 85.156 (78.547)
Epoch: [60][3450/14090]	Time 0.732 (0.768)	Data 0.001 (0.002)	Loss 2.2718 (2.0127)	Prec@1 41.406 (48.433)	Prec@5 75.000 (78.550)
Epoch: [60][3460/14090]	Time 0.877 (0.768)	Data 0.001 (0.002)	Loss 2.2017 (2.0126)	Prec@1 39.062 (48.437)	Prec@5 77.344 (78.553)
Epoch: [60][3470/14090]	Time 0.735 (0.768)	Data 0.001 (0.002)	Loss 2.0798 (2.0127)	Prec@1 40.625 (48.436)	Prec@5 76.562 (78.554)
Epoch: [60][3480/14090]	Time 0.741 (0.768)	Data 0.001 (0.002)	Loss 1.9604 (2.0127)	Prec@1 48.438 (48.428)	Prec@5 78.906 (78.554)
Epoch: [60][3490/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 1.6780 (2.0126)	Prec@1 57.812 (48.426)	Prec@5 82.031 (78.554)
Epoch: [60][3500/14090]	Time 0.739 (0.768)	Data 0.001 (0.002)	Loss 2.0248 (2.0124)	Prec@1 48.438 (48.429)	Prec@5 78.906 (78.557)
Epoch: [60][3510/14090]	Time 0.750 (0.768)	Data 0.001 (0.002)	Loss 2.1065 (2.0122)	Prec@1 52.344 (48.435)	Prec@5 78.125 (78.561)
Epoch: [60][3520/14090]	Time 0.758 (0.768)	Data 0.001 (0.002)	Loss 2.0839 (2.0122)	Prec@1 52.344 (48.436)	Prec@5 76.562 (78.560)
Epoch: [60][3530/14090]	Time 0.881 (0.768)	Data 0.001 (0.002)	Loss 1.9594 (2.0121)	Prec@1 48.438 (48.438)	Prec@5 78.906 (78.560)
Epoch: [60][3540/14090]	Time 0.734 (0.768)	Data 0.001 (0.002)	Loss 2.1112 (2.0122)	Prec@1 44.531 (48.437)	Prec@5 77.344 (78.557)
Epoch: [60][3550/14090]	Time 0.733 (0.768)	Data 0.001 (0.002)	Loss 1.9156 (2.0122)	Prec@1 48.438 (48.435)	Prec@5 82.812 (78.555)
Epoch: [60][3560/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 2.2301 (2.0121)	Prec@1 42.188 (48.440)	Prec@5 72.656 (78.555)
Epoch: [60][3570/14090]	Time 0.750 (0.768)	Data 0.001 (0.002)	Loss 1.8090 (2.0121)	Prec@1 53.125 (48.439)	Prec@5 82.812 (78.554)
Epoch: [60][3580/14090]	Time 0.726 (0.768)	Data 0.001 (0.002)	Loss 1.8691 (2.0121)	Prec@1 46.094 (48.437)	Prec@5 78.906 (78.552)
Epoch: [60][3590/14090]	Time 0.733 (0.768)	Data 0.001 (0.002)	Loss 2.1952 (2.0119)	Prec@1 42.969 (48.440)	Prec@5 74.219 (78.556)
Epoch: [60][3600/14090]	Time 0.852 (0.768)	Data 0.001 (0.002)	Loss 1.9799 (2.0119)	Prec@1 46.094 (48.440)	Prec@5 81.250 (78.552)
Epoch: [60][3610/14090]	Time 0.746 (0.768)	Data 0.001 (0.002)	Loss 1.6800 (2.0119)	Prec@1 56.250 (48.438)	Prec@5 84.375 (78.555)
Epoch: [60][3620/14090]	Time 0.791 (0.768)	Data 0.001 (0.002)	Loss 1.9223 (2.0115)	Prec@1 46.094 (48.446)	Prec@5 82.031 (78.562)
Epoch: [60][3630/14090]	Time 0.732 (0.768)	Data 0.001 (0.002)	Loss 2.1973 (2.0114)	Prec@1 41.406 (48.448)	Prec@5 75.000 (78.563)
Epoch: [60][3640/14090]	Time 0.727 (0.768)	Data 0.001 (0.002)	Loss 1.9556 (2.0111)	Prec@1 44.531 (48.452)	Prec@5 80.469 (78.568)
Epoch: [60][3650/14090]	Time 0.772 (0.768)	Data 0.001 (0.002)	Loss 1.9929 (2.0110)	Prec@1 46.875 (48.453)	Prec@5 73.438 (78.569)
Epoch: [60][3660/14090]	Time 0.773 (0.768)	Data 0.001 (0.002)	Loss 2.3703 (2.0110)	Prec@1 39.844 (48.458)	Prec@5 71.094 (78.569)
Epoch: [60][3670/14090]	Time 0.843 (0.768)	Data 0.001 (0.002)	Loss 1.9590 (2.0109)	Prec@1 48.438 (48.457)	Prec@5 79.688 (78.571)
Epoch: [60][3680/14090]	Time 0.729 (0.768)	Data 0.001 (0.002)	Loss 1.7321 (2.0106)	Prec@1 47.656 (48.459)	Prec@5 82.031 (78.576)
Epoch: [60][3690/14090]	Time 0.735 (0.768)	Data 0.001 (0.002)	Loss 2.2902 (2.0108)	Prec@1 40.625 (48.457)	Prec@5 74.219 (78.574)
Epoch: [60][3700/14090]	Time 0.778 (0.768)	Data 0.001 (0.002)	Loss 2.1135 (2.0107)	Prec@1 46.875 (48.455)	Prec@5 76.562 (78.576)
Epoch: [60][3710/14090]	Time 0.741 (0.768)	Data 0.001 (0.002)	Loss 1.9232 (2.0105)	Prec@1 50.781 (48.460)	Prec@5 80.469 (78.582)
Epoch: [60][3720/14090]	Time 0.758 (0.768)	Data 0.001 (0.002)	Loss 1.7839 (2.0102)	Prec@1 53.125 (48.465)	Prec@5 86.719 (78.587)
Epoch: [60][3730/14090]	Time 0.757 (0.768)	Data 0.001 (0.002)	Loss 1.9412 (2.0101)	Prec@1 42.969 (48.466)	Prec@5 79.688 (78.590)
Epoch: [60][3740/14090]	Time 0.881 (0.768)	Data 0.001 (0.002)	Loss 1.9635 (2.0102)	Prec@1 49.219 (48.465)	Prec@5 75.000 (78.586)
Epoch: [60][3750/14090]	Time 0.723 (0.768)	Data 0.001 (0.002)	Loss 1.9536 (2.0102)	Prec@1 53.906 (48.469)	Prec@5 78.906 (78.582)
Epoch: [60][3760/14090]	Time 0.739 (0.768)	Data 0.001 (0.002)	Loss 1.9839 (2.0103)	Prec@1 50.000 (48.466)	Prec@5 81.250 (78.580)
Epoch: [60][3770/14090]	Time 0.754 (0.768)	Data 0.002 (0.002)	Loss 1.8176 (2.0101)	Prec@1 53.906 (48.469)	Prec@5 83.594 (78.580)
Epoch: [60][3780/14090]	Time 0.746 (0.768)	Data 0.001 (0.002)	Loss 1.8050 (2.0100)	Prec@1 48.438 (48.466)	Prec@5 80.469 (78.584)
Epoch: [60][3790/14090]	Time 0.736 (0.768)	Data 0.000 (0.002)	Loss 2.3954 (2.0100)	Prec@1 44.531 (48.464)	Prec@5 67.188 (78.581)
Epoch: [60][3800/14090]	Time 0.766 (0.768)	Data 0.001 (0.002)	Loss 1.8873 (2.0098)	Prec@1 53.125 (48.471)	Prec@5 82.031 (78.585)
Epoch: [60][3810/14090]	Time 0.893 (0.768)	Data 0.001 (0.002)	Loss 1.9287 (2.0100)	Prec@1 50.000 (48.465)	Prec@5 78.906 (78.582)
Epoch: [60][3820/14090]	Time 0.733 (0.768)	Data 0.001 (0.002)	Loss 1.8250 (2.0098)	Prec@1 50.781 (48.469)	Prec@5 82.812 (78.583)
Epoch: [60][3830/14090]	Time 0.720 (0.768)	Data 0.001 (0.002)	Loss 1.9727 (2.0098)	Prec@1 53.125 (48.466)	Prec@5 79.688 (78.584)
Epoch: [60][3840/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 1.9597 (2.0100)	Prec@1 49.219 (48.465)	Prec@5 80.469 (78.580)
Epoch: [60][3850/14090]	Time 0.736 (0.768)	Data 0.001 (0.002)	Loss 1.9766 (2.0100)	Prec@1 45.312 (48.461)	Prec@5 75.781 (78.580)
Epoch: [60][3860/14090]	Time 0.724 (0.768)	Data 0.001 (0.002)	Loss 2.0055 (2.0098)	Prec@1 49.219 (48.463)	Prec@5 78.906 (78.583)
Epoch: [60][3870/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 1.9279 (2.0098)	Prec@1 49.219 (48.466)	Prec@5 79.688 (78.583)
Epoch: [60][3880/14090]	Time 0.928 (0.768)	Data 0.001 (0.002)	Loss 2.0086 (2.0098)	Prec@1 50.781 (48.464)	Prec@5 77.344 (78.580)
Epoch: [60][3890/14090]	Time 0.733 (0.768)	Data 0.001 (0.002)	Loss 1.7917 (2.0097)	Prec@1 54.688 (48.466)	Prec@5 81.250 (78.583)
Epoch: [60][3900/14090]	Time 0.738 (0.768)	Data 0.001 (0.002)	Loss 2.0605 (2.0094)	Prec@1 44.531 (48.472)	Prec@5 81.250 (78.590)
Epoch: [60][3910/14090]	Time 0.728 (0.768)	Data 0.001 (0.002)	Loss 2.0954 (2.0093)	Prec@1 49.219 (48.473)	Prec@5 77.344 (78.591)
Epoch: [60][3920/14090]	Time 0.758 (0.768)	Data 0.001 (0.002)	Loss 2.0178 (2.0092)	Prec@1 45.312 (48.475)	Prec@5 82.031 (78.592)
Epoch: [60][3930/14090]	Time 0.743 (0.768)	Data 0.001 (0.002)	Loss 2.0494 (2.0094)	Prec@1 53.125 (48.471)	Prec@5 79.688 (78.589)
Epoch: [60][3940/14090]	Time 0.760 (0.768)	Data 0.001 (0.002)	Loss 1.9234 (2.0096)	Prec@1 49.219 (48.470)	Prec@5 81.250 (78.585)
Epoch: [60][3950/14090]	Time 0.896 (0.768)	Data 0.001 (0.002)	Loss 1.8390 (2.0094)	Prec@1 52.344 (48.476)	Prec@5 83.594 (78.587)
Epoch: [60][3960/14090]	Time 0.741 (0.768)	Data 0.001 (0.002)	Loss 1.8787 (2.0094)	Prec@1 56.250 (48.476)	Prec@5 79.688 (78.588)
Epoch: [60][3970/14090]	Time 0.755 (0.768)	Data 0.001 (0.002)	Loss 1.9861 (2.0093)	Prec@1 46.094 (48.477)	Prec@5 82.812 (78.588)
Epoch: [60][3980/14090]	Time 0.729 (0.768)	Data 0.004 (0.002)	Loss 1.8910 (2.0092)	Prec@1 51.562 (48.483)	Prec@5 83.594 (78.596)
Epoch: [60][3990/14090]	Time 0.753 (0.768)	Data 0.001 (0.002)	Loss 1.9911 (2.0089)	Prec@1 49.219 (48.490)	Prec@5 82.812 (78.603)
Epoch: [60][4000/14090]	Time 0.738 (0.768)	Data 0.001 (0.002)	Loss 1.9925 (2.0091)	Prec@1 53.125 (48.491)	Prec@5 83.594 (78.604)
Epoch: [60][4010/14090]	Time 0.736 (0.768)	Data 0.001 (0.002)	Loss 2.3183 (2.0089)	Prec@1 45.312 (48.494)	Prec@5 71.094 (78.606)
Epoch: [60][4020/14090]	Time 0.824 (0.768)	Data 0.001 (0.002)	Loss 2.1599 (2.0087)	Prec@1 42.969 (48.497)	Prec@5 71.094 (78.607)
Epoch: [60][4030/14090]	Time 0.756 (0.768)	Data 0.001 (0.002)	Loss 2.0974 (2.0087)	Prec@1 46.094 (48.501)	Prec@5 69.531 (78.604)
Epoch: [60][4040/14090]	Time 0.743 (0.768)	Data 0.001 (0.002)	Loss 1.9795 (2.0084)	Prec@1 48.438 (48.510)	Prec@5 78.906 (78.610)
Epoch: [60][4050/14090]	Time 0.731 (0.768)	Data 0.001 (0.002)	Loss 1.9562 (2.0082)	Prec@1 48.438 (48.513)	Prec@5 82.812 (78.613)
Epoch: [60][4060/14090]	Time 0.734 (0.768)	Data 0.001 (0.002)	Loss 1.9435 (2.0081)	Prec@1 51.562 (48.517)	Prec@5 79.688 (78.613)
Epoch: [60][4070/14090]	Time 0.757 (0.768)	Data 0.001 (0.002)	Loss 2.0036 (2.0079)	Prec@1 49.219 (48.523)	Prec@5 84.375 (78.617)
Epoch: [60][4080/14090]	Time 0.771 (0.768)	Data 0.001 (0.002)	Loss 2.2650 (2.0079)	Prec@1 46.094 (48.523)	Prec@5 70.312 (78.617)
Epoch: [60][4090/14090]	Time 0.936 (0.768)	Data 0.001 (0.002)	Loss 2.2701 (2.0078)	Prec@1 45.312 (48.525)	Prec@5 67.969 (78.619)
Epoch: [60][4100/14090]	Time 0.735 (0.768)	Data 0.001 (0.002)	Loss 1.9818 (2.0076)	Prec@1 50.781 (48.528)	Prec@5 82.812 (78.623)
Epoch: [60][4110/14090]	Time 0.762 (0.768)	Data 0.001 (0.002)	Loss 2.1320 (2.0075)	Prec@1 46.875 (48.531)	Prec@5 77.344 (78.625)
Epoch: [60][4120/14090]	Time 0.736 (0.768)	Data 0.001 (0.002)	Loss 1.8465 (2.0073)	Prec@1 56.250 (48.535)	Prec@5 82.031 (78.629)
Epoch: [60][4130/14090]	Time 0.746 (0.768)	Data 0.001 (0.002)	Loss 1.8874 (2.0071)	Prec@1 49.219 (48.536)	Prec@5 79.688 (78.631)
Epoch: [60][4140/14090]	Time 0.718 (0.768)	Data 0.001 (0.002)	Loss 2.1258 (2.0070)	Prec@1 45.312 (48.542)	Prec@5 75.781 (78.634)
Epoch: [60][4150/14090]	Time 0.753 (0.768)	Data 0.001 (0.002)	Loss 1.9744 (2.0072)	Prec@1 52.344 (48.543)	Prec@5 78.125 (78.634)
Epoch: [60][4160/14090]	Time 0.851 (0.768)	Data 0.001 (0.002)	Loss 1.6839 (2.0070)	Prec@1 57.031 (48.545)	Prec@5 82.812 (78.635)
Epoch: [60][4170/14090]	Time 0.753 (0.768)	Data 0.001 (0.002)	Loss 1.8756 (2.0070)	Prec@1 50.781 (48.546)	Prec@5 76.562 (78.636)
Epoch: [60][4180/14090]	Time 0.750 (0.768)	Data 0.001 (0.002)	Loss 1.9994 (2.0070)	Prec@1 48.438 (48.550)	Prec@5 78.906 (78.634)
Epoch: [60][4190/14090]	Time 0.770 (0.768)	Data 0.001 (0.002)	Loss 1.9403 (2.0069)	Prec@1 53.906 (48.554)	Prec@5 79.688 (78.637)
Epoch: [60][4200/14090]	Time 0.755 (0.768)	Data 0.001 (0.002)	Loss 1.7402 (2.0067)	Prec@1 60.938 (48.557)	Prec@5 83.594 (78.640)
Epoch: [60][4210/14090]	Time 0.744 (0.768)	Data 0.001 (0.002)	Loss 1.7960 (2.0065)	Prec@1 51.562 (48.559)	Prec@5 79.688 (78.643)
Epoch: [60][4220/14090]	Time 0.781 (0.768)	Data 0.001 (0.002)	Loss 1.9864 (2.0064)	Prec@1 52.344 (48.562)	Prec@5 80.469 (78.645)
Epoch: [60][4230/14090]	Time 0.836 (0.768)	Data 0.001 (0.002)	Loss 1.8582 (2.0061)	Prec@1 50.781 (48.569)	Prec@5 82.812 (78.651)
Epoch: [60][4240/14090]	Time 0.745 (0.768)	Data 0.001 (0.002)	Loss 2.2435 (2.0061)	Prec@1 40.625 (48.570)	Prec@5 73.438 (78.649)
Epoch: [60][4250/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 1.7928 (2.0061)	Prec@1 51.562 (48.572)	Prec@5 80.469 (78.646)
Epoch: [60][4260/14090]	Time 0.730 (0.768)	Data 0.001 (0.002)	Loss 1.9865 (2.0061)	Prec@1 47.656 (48.569)	Prec@5 81.250 (78.647)
Epoch: [60][4270/14090]	Time 0.754 (0.768)	Data 0.001 (0.002)	Loss 1.7974 (2.0061)	Prec@1 53.125 (48.570)	Prec@5 86.719 (78.646)
Epoch: [60][4280/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 1.9110 (2.0058)	Prec@1 53.906 (48.579)	Prec@5 78.125 (78.650)
Epoch: [60][4290/14090]	Time 0.734 (0.768)	Data 0.001 (0.002)	Loss 2.1921 (2.0060)	Prec@1 43.750 (48.573)	Prec@5 75.000 (78.647)
Epoch: [60][4300/14090]	Time 0.859 (0.768)	Data 0.001 (0.002)	Loss 1.9488 (2.0060)	Prec@1 49.219 (48.575)	Prec@5 82.031 (78.646)
Epoch: [60][4310/14090]	Time 0.731 (0.768)	Data 0.001 (0.002)	Loss 2.2505 (2.0060)	Prec@1 40.625 (48.576)	Prec@5 74.219 (78.648)
Epoch: [60][4320/14090]	Time 0.734 (0.768)	Data 0.001 (0.002)	Loss 1.9975 (2.0060)	Prec@1 51.562 (48.575)	Prec@5 74.219 (78.644)
Epoch: [60][4330/14090]	Time 0.750 (0.768)	Data 0.001 (0.002)	Loss 2.1152 (2.0062)	Prec@1 40.625 (48.573)	Prec@5 78.906 (78.643)
Epoch: [60][4340/14090]	Time 0.746 (0.768)	Data 0.001 (0.002)	Loss 1.9995 (2.0061)	Prec@1 51.562 (48.573)	Prec@5 78.906 (78.642)
Epoch: [60][4350/14090]	Time 0.726 (0.768)	Data 0.001 (0.002)	Loss 2.1906 (2.0060)	Prec@1 41.406 (48.571)	Prec@5 72.656 (78.641)
Epoch: [60][4360/14090]	Time 0.769 (0.768)	Data 0.001 (0.002)	Loss 1.7993 (2.0059)	Prec@1 59.375 (48.575)	Prec@5 82.812 (78.645)
Epoch: [60][4370/14090]	Time 0.868 (0.768)	Data 0.001 (0.002)	Loss 2.1313 (2.0056)	Prec@1 41.406 (48.577)	Prec@5 75.781 (78.651)
Epoch: [60][4380/14090]	Time 0.762 (0.768)	Data 0.001 (0.002)	Loss 1.8566 (2.0055)	Prec@1 56.250 (48.577)	Prec@5 79.688 (78.652)
Epoch: [60][4390/14090]	Time 0.732 (0.768)	Data 0.001 (0.002)	Loss 2.0823 (2.0054)	Prec@1 49.219 (48.580)	Prec@5 78.125 (78.654)
Epoch: [60][4400/14090]	Time 0.726 (0.768)	Data 0.001 (0.002)	Loss 2.1750 (2.0054)	Prec@1 48.438 (48.580)	Prec@5 77.344 (78.655)
Epoch: [60][4410/14090]	Time 0.763 (0.768)	Data 0.001 (0.002)	Loss 1.9447 (2.0052)	Prec@1 50.781 (48.582)	Prec@5 80.469 (78.662)
Epoch: [60][4420/14090]	Time 0.726 (0.768)	Data 0.001 (0.002)	Loss 1.8226 (2.0052)	Prec@1 52.344 (48.580)	Prec@5 78.125 (78.658)
Epoch: [60][4430/14090]	Time 0.780 (0.768)	Data 0.001 (0.002)	Loss 2.0486 (2.0052)	Prec@1 46.875 (48.580)	Prec@5 78.125 (78.658)
Epoch: [60][4440/14090]	Time 0.856 (0.768)	Data 0.001 (0.002)	Loss 1.8323 (2.0049)	Prec@1 54.688 (48.583)	Prec@5 80.469 (78.662)
Epoch: [60][4450/14090]	Time 0.776 (0.768)	Data 0.001 (0.002)	Loss 1.7896 (2.0046)	Prec@1 53.125 (48.588)	Prec@5 80.469 (78.670)
Epoch: [60][4460/14090]	Time 0.770 (0.768)	Data 0.001 (0.002)	Loss 2.1149 (2.0047)	Prec@1 49.219 (48.591)	Prec@5 78.125 (78.667)
Epoch: [60][4470/14090]	Time 0.745 (0.768)	Data 0.001 (0.002)	Loss 1.8941 (2.0045)	Prec@1 47.656 (48.592)	Prec@5 82.031 (78.673)
Epoch: [60][4480/14090]	Time 0.784 (0.768)	Data 0.001 (0.002)	Loss 1.8738 (2.0045)	Prec@1 46.094 (48.593)	Prec@5 85.156 (78.672)
Epoch: [60][4490/14090]	Time 0.761 (0.768)	Data 0.001 (0.002)	Loss 2.0948 (2.0044)	Prec@1 45.312 (48.596)	Prec@5 75.000 (78.671)
Epoch: [60][4500/14090]	Time 0.738 (0.768)	Data 0.001 (0.002)	Loss 1.6578 (2.0042)	Prec@1 54.688 (48.600)	Prec@5 85.156 (78.671)
Epoch: [60][4510/14090]	Time 0.869 (0.768)	Data 0.001 (0.002)	Loss 2.2404 (2.0041)	Prec@1 46.094 (48.604)	Prec@5 75.000 (78.672)
Epoch: [60][4520/14090]	Time 0.737 (0.768)	Data 0.001 (0.002)	Loss 1.9912 (2.0039)	Prec@1 45.312 (48.604)	Prec@5 78.906 (78.676)
Epoch: [60][4530/14090]	Time 0.728 (0.768)	Data 0.001 (0.002)	Loss 1.9288 (2.0038)	Prec@1 48.438 (48.605)	Prec@5 80.469 (78.677)
Epoch: [60][4540/14090]	Time 0.758 (0.768)	Data 0.001 (0.002)	Loss 1.8731 (2.0039)	Prec@1 49.219 (48.601)	Prec@5 83.594 (78.678)
Epoch: [60][4550/14090]	Time 0.731 (0.768)	Data 0.001 (0.002)	Loss 2.1028 (2.0039)	Prec@1 44.531 (48.602)	Prec@5 78.125 (78.676)
Epoch: [60][4560/14090]	Time 0.758 (0.768)	Data 0.001 (0.002)	Loss 1.8749 (2.0037)	Prec@1 52.344 (48.605)	Prec@5 78.906 (78.681)
Epoch: [60][4570/14090]	Time 0.762 (0.768)	Data 0.001 (0.002)	Loss 1.8916 (2.0036)	Prec@1 48.438 (48.610)	Prec@5 78.906 (78.683)
Epoch: [60][4580/14090]	Time 0.848 (0.768)	Data 0.001 (0.002)	Loss 1.9474 (2.0036)	Prec@1 50.000 (48.607)	Prec@5 77.344 (78.684)
Epoch: [60][4590/14090]	Time 0.781 (0.768)	Data 0.001 (0.002)	Loss 1.9220 (2.0035)	Prec@1 53.125 (48.611)	Prec@5 84.375 (78.686)
Epoch: [60][4600/14090]	Time 0.747 (0.768)	Data 0.001 (0.002)	Loss 2.2171 (2.0036)	Prec@1 47.656 (48.608)	Prec@5 73.438 (78.681)
Epoch: [60][4610/14090]	Time 0.739 (0.768)	Data 0.001 (0.002)	Loss 2.1427 (2.0036)	Prec@1 45.312 (48.604)	Prec@5 75.781 (78.683)
Epoch: [60][4620/14090]	Time 0.727 (0.768)	Data 0.001 (0.002)	Loss 1.9441 (2.0034)	Prec@1 51.562 (48.609)	Prec@5 78.125 (78.687)
Epoch: [60][4630/14090]	Time 0.749 (0.768)	Data 0.001 (0.002)	Loss 2.0112 (2.0035)	Prec@1 46.094 (48.607)	Prec@5 75.000 (78.685)
Epoch: [60][4640/14090]	Time 0.745 (0.768)	Data 0.001 (0.002)	Loss 1.7804 (2.0035)	Prec@1 53.906 (48.610)	Prec@5 84.375 (78.687)
Epoch: [60][4650/14090]	Time 0.850 (0.768)	Data 0.001 (0.002)	Loss 1.9120 (2.0032)	Prec@1 49.219 (48.616)	Prec@5 78.906 (78.691)
Epoch: [60][4660/14090]	Time 0.750 (0.768)	Data 0.001 (0.002)	Loss 2.1847 (2.0032)	Prec@1 46.875 (48.618)	Prec@5 75.000 (78.691)
Epoch: [60][4670/14090]	Time 0.734 (0.768)	Data 0.001 (0.002)	Loss 2.2779 (2.0032)	Prec@1 41.406 (48.616)	Prec@5 68.750 (78.691)
Epoch: [60][4680/14090]	Time 0.744 (0.768)	Data 0.001 (0.002)	Loss 1.8832 (2.0032)	Prec@1 52.344 (48.618)	Prec@5 83.594 (78.691)
Epoch: [60][4690/14090]	Time 0.727 (0.768)	Data 0.001 (0.002)	Loss 2.0209 (2.0032)	Prec@1 47.656 (48.621)	Prec@5 80.469 (78.693)
Epoch: [60][4700/14090]	Time 0.735 (0.768)	Data 0.001 (0.002)	Loss 1.9870 (2.0031)	Prec@1 48.438 (48.622)	Prec@5 78.906 (78.695)
Epoch: [60][4710/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 1.9362 (2.0031)	Prec@1 53.125 (48.625)	Prec@5 78.906 (78.697)
Epoch: [60][4720/14090]	Time 0.874 (0.768)	Data 0.001 (0.002)	Loss 2.0008 (2.0030)	Prec@1 51.562 (48.628)	Prec@5 79.688 (78.703)
Epoch: [60][4730/14090]	Time 0.736 (0.768)	Data 0.001 (0.002)	Loss 2.0646 (2.0029)	Prec@1 50.000 (48.630)	Prec@5 80.469 (78.703)
Epoch: [60][4740/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 1.9987 (2.0030)	Prec@1 57.812 (48.630)	Prec@5 80.469 (78.704)
Epoch: [60][4750/14090]	Time 0.749 (0.768)	Data 0.000 (0.002)	Loss 1.8649 (2.0029)	Prec@1 56.250 (48.632)	Prec@5 79.688 (78.705)
Epoch: [60][4760/14090]	Time 0.756 (0.768)	Data 0.001 (0.002)	Loss 1.8871 (2.0029)	Prec@1 52.344 (48.630)	Prec@5 82.031 (78.710)
Epoch: [60][4770/14090]	Time 0.758 (0.768)	Data 0.001 (0.002)	Loss 1.8255 (2.0027)	Prec@1 51.562 (48.633)	Prec@5 81.250 (78.714)
Epoch: [60][4780/14090]	Time 0.776 (0.768)	Data 0.001 (0.002)	Loss 2.1206 (2.0027)	Prec@1 43.750 (48.631)	Prec@5 79.688 (78.710)
Epoch: [60][4790/14090]	Time 0.865 (0.768)	Data 0.001 (0.002)	Loss 1.9175 (2.0026)	Prec@1 47.656 (48.629)	Prec@5 76.562 (78.709)
Epoch: [60][4800/14090]	Time 0.730 (0.768)	Data 0.001 (0.002)	Loss 1.9873 (2.0025)	Prec@1 46.094 (48.632)	Prec@5 79.688 (78.707)
Epoch: [60][4810/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 1.7457 (2.0024)	Prec@1 56.250 (48.635)	Prec@5 80.469 (78.706)
Epoch: [60][4820/14090]	Time 0.738 (0.768)	Data 0.001 (0.002)	Loss 2.1030 (2.0025)	Prec@1 44.531 (48.635)	Prec@5 78.125 (78.703)
Epoch: [60][4830/14090]	Time 0.724 (0.768)	Data 0.001 (0.002)	Loss 2.0472 (2.0023)	Prec@1 51.562 (48.637)	Prec@5 76.562 (78.709)
Epoch: [60][4840/14090]	Time 0.732 (0.768)	Data 0.001 (0.002)	Loss 1.7566 (2.0023)	Prec@1 55.469 (48.637)	Prec@5 85.156 (78.710)
Epoch: [60][4850/14090]	Time 0.754 (0.768)	Data 0.001 (0.002)	Loss 1.9251 (2.0022)	Prec@1 47.656 (48.637)	Prec@5 80.469 (78.713)
Epoch: [60][4860/14090]	Time 0.843 (0.768)	Data 0.001 (0.002)	Loss 1.8265 (2.0021)	Prec@1 53.906 (48.642)	Prec@5 82.812 (78.713)
Epoch: [60][4870/14090]	Time 0.727 (0.768)	Data 0.001 (0.002)	Loss 2.0965 (2.0021)	Prec@1 50.000 (48.641)	Prec@5 77.344 (78.712)
Epoch: [60][4880/14090]	Time 0.732 (0.768)	Data 0.001 (0.002)	Loss 1.5442 (2.0019)	Prec@1 57.812 (48.647)	Prec@5 89.062 (78.715)
Epoch: [60][4890/14090]	Time 0.731 (0.768)	Data 0.001 (0.002)	Loss 1.9961 (2.0019)	Prec@1 49.219 (48.647)	Prec@5 75.781 (78.714)
Epoch: [60][4900/14090]	Time 0.746 (0.768)	Data 0.001 (0.002)	Loss 1.8020 (2.0018)	Prec@1 50.781 (48.646)	Prec@5 85.156 (78.711)
Epoch: [60][4910/14090]	Time 0.752 (0.768)	Data 0.001 (0.002)	Loss 2.1485 (2.0017)	Prec@1 39.844 (48.647)	Prec@5 76.562 (78.713)
Epoch: [60][4920/14090]	Time 0.728 (0.768)	Data 0.001 (0.002)	Loss 2.0854 (2.0016)	Prec@1 52.344 (48.652)	Prec@5 79.688 (78.713)
Epoch: [60][4930/14090]	Time 0.848 (0.768)	Data 0.001 (0.002)	Loss 1.6742 (2.0016)	Prec@1 56.250 (48.651)	Prec@5 83.594 (78.712)
Epoch: [60][4940/14090]	Time 0.731 (0.768)	Data 0.001 (0.002)	Loss 2.0966 (2.0017)	Prec@1 47.656 (48.650)	Prec@5 78.125 (78.712)
Epoch: [60][4950/14090]	Time 0.738 (0.768)	Data 0.001 (0.002)	Loss 1.9527 (2.0016)	Prec@1 49.219 (48.656)	Prec@5 76.562 (78.712)
Epoch: [60][4960/14090]	Time 0.749 (0.768)	Data 0.001 (0.002)	Loss 2.0063 (2.0015)	Prec@1 41.406 (48.653)	Prec@5 78.906 (78.715)
Epoch: [60][4970/14090]	Time 0.780 (0.768)	Data 0.001 (0.002)	Loss 1.9784 (2.0015)	Prec@1 50.781 (48.652)	Prec@5 77.344 (78.717)
Epoch: [60][4980/14090]	Time 0.732 (0.768)	Data 0.001 (0.002)	Loss 1.9669 (2.0015)	Prec@1 46.094 (48.651)	Prec@5 81.250 (78.716)
Epoch: [60][4990/14090]	Time 0.736 (0.768)	Data 0.001 (0.002)	Loss 2.1292 (2.0015)	Prec@1 46.094 (48.647)	Prec@5 75.000 (78.715)
Epoch: [60][5000/14090]	Time 0.900 (0.768)	Data 0.001 (0.002)	Loss 2.2519 (2.0013)	Prec@1 45.312 (48.655)	Prec@5 77.344 (78.717)
Epoch: [60][5010/14090]	Time 0.744 (0.768)	Data 0.001 (0.002)	Loss 2.2784 (2.0015)	Prec@1 42.969 (48.651)	Prec@5 75.000 (78.716)
Epoch: [60][5020/14090]	Time 0.778 (0.768)	Data 0.001 (0.002)	Loss 1.9983 (2.0014)	Prec@1 50.000 (48.654)	Prec@5 80.469 (78.717)
Epoch: [60][5030/14090]	Time 0.735 (0.768)	Data 0.001 (0.002)	Loss 1.7697 (2.0012)	Prec@1 53.125 (48.660)	Prec@5 82.812 (78.719)
Epoch: [60][5040/14090]	Time 0.755 (0.768)	Data 0.001 (0.002)	Loss 1.9809 (2.0013)	Prec@1 44.531 (48.655)	Prec@5 82.812 (78.721)
Epoch: [60][5050/14090]	Time 0.762 (0.768)	Data 0.001 (0.002)	Loss 1.8589 (2.0012)	Prec@1 51.562 (48.657)	Prec@5 81.250 (78.720)
Epoch: [60][5060/14090]	Time 0.753 (0.768)	Data 0.001 (0.002)	Loss 1.9388 (2.0014)	Prec@1 49.219 (48.654)	Prec@5 76.562 (78.716)
Epoch: [60][5070/14090]	Time 0.821 (0.768)	Data 0.001 (0.002)	Loss 1.9401 (2.0013)	Prec@1 50.000 (48.660)	Prec@5 78.125 (78.717)
Epoch: [60][5080/14090]	Time 0.747 (0.768)	Data 0.001 (0.002)	Loss 2.0498 (2.0011)	Prec@1 44.531 (48.664)	Prec@5 79.688 (78.722)
Epoch: [60][5090/14090]	Time 0.752 (0.768)	Data 0.001 (0.002)	Loss 1.9417 (2.0011)	Prec@1 47.656 (48.665)	Prec@5 81.250 (78.726)
Epoch: [60][5100/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 1.9499 (2.0009)	Prec@1 52.344 (48.671)	Prec@5 79.688 (78.728)
Epoch: [60][5110/14090]	Time 0.762 (0.768)	Data 0.001 (0.002)	Loss 1.8362 (2.0008)	Prec@1 57.031 (48.672)	Prec@5 82.812 (78.731)
Epoch: [60][5120/14090]	Time 0.762 (0.768)	Data 0.001 (0.002)	Loss 2.2252 (2.0008)	Prec@1 44.531 (48.675)	Prec@5 71.875 (78.733)
Epoch: [60][5130/14090]	Time 0.726 (0.768)	Data 0.001 (0.002)	Loss 1.8118 (2.0007)	Prec@1 49.219 (48.677)	Prec@5 79.688 (78.734)
Epoch: [60][5140/14090]	Time 0.887 (0.768)	Data 0.001 (0.002)	Loss 2.1426 (2.0007)	Prec@1 46.094 (48.675)	Prec@5 77.344 (78.735)
Epoch: [60][5150/14090]	Time 0.732 (0.768)	Data 0.001 (0.002)	Loss 2.1976 (2.0005)	Prec@1 42.969 (48.679)	Prec@5 78.906 (78.740)
Epoch: [60][5160/14090]	Time 0.735 (0.768)	Data 0.001 (0.002)	Loss 2.2341 (2.0005)	Prec@1 44.531 (48.685)	Prec@5 77.344 (78.739)
Epoch: [60][5170/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 2.1128 (2.0004)	Prec@1 46.094 (48.687)	Prec@5 77.344 (78.740)
Epoch: [60][5180/14090]	Time 0.760 (0.768)	Data 0.001 (0.002)	Loss 1.9745 (2.0004)	Prec@1 51.562 (48.685)	Prec@5 78.906 (78.740)
Epoch: [60][5190/14090]	Time 0.752 (0.768)	Data 0.001 (0.002)	Loss 2.1964 (2.0003)	Prec@1 46.094 (48.689)	Prec@5 73.438 (78.741)
Epoch: [60][5200/14090]	Time 0.757 (0.768)	Data 0.001 (0.002)	Loss 1.7849 (2.0003)	Prec@1 53.125 (48.687)	Prec@5 82.812 (78.744)
Epoch: [60][5210/14090]	Time 0.882 (0.768)	Data 0.001 (0.002)	Loss 1.8377 (2.0002)	Prec@1 52.344 (48.689)	Prec@5 85.938 (78.744)
Epoch: [60][5220/14090]	Time 0.738 (0.768)	Data 0.001 (0.002)	Loss 2.2933 (2.0003)	Prec@1 41.406 (48.690)	Prec@5 75.000 (78.742)
Epoch: [60][5230/14090]	Time 0.739 (0.768)	Data 0.001 (0.002)	Loss 1.9100 (2.0000)	Prec@1 53.906 (48.695)	Prec@5 82.812 (78.748)
Epoch: [60][5240/14090]	Time 0.752 (0.768)	Data 0.001 (0.002)	Loss 2.0801 (2.0001)	Prec@1 42.969 (48.690)	Prec@5 79.688 (78.746)
Epoch: [60][5250/14090]	Time 0.764 (0.768)	Data 0.001 (0.002)	Loss 2.0148 (1.9999)	Prec@1 47.656 (48.694)	Prec@5 76.562 (78.750)
Epoch: [60][5260/14090]	Time 0.741 (0.768)	Data 0.001 (0.002)	Loss 1.9920 (1.9999)	Prec@1 52.344 (48.694)	Prec@5 75.781 (78.750)
Epoch: [60][5270/14090]	Time 0.747 (0.768)	Data 0.001 (0.002)	Loss 1.8320 (1.9998)	Prec@1 48.438 (48.695)	Prec@5 81.250 (78.750)
Epoch: [60][5280/14090]	Time 0.862 (0.768)	Data 0.001 (0.002)	Loss 2.1624 (1.9998)	Prec@1 45.312 (48.694)	Prec@5 75.000 (78.751)
Epoch: [60][5290/14090]	Time 0.770 (0.768)	Data 0.001 (0.002)	Loss 2.1656 (1.9999)	Prec@1 39.062 (48.688)	Prec@5 77.344 (78.749)
Epoch: [60][5300/14090]	Time 0.750 (0.768)	Data 0.001 (0.002)	Loss 2.2056 (2.0000)	Prec@1 45.312 (48.687)	Prec@5 75.000 (78.748)
Epoch: [60][5310/14090]	Time 0.759 (0.768)	Data 0.001 (0.002)	Loss 1.6840 (1.9998)	Prec@1 63.281 (48.694)	Prec@5 82.031 (78.752)
Epoch: [60][5320/14090]	Time 0.758 (0.768)	Data 0.001 (0.002)	Loss 1.7961 (1.9996)	Prec@1 51.562 (48.693)	Prec@5 81.250 (78.754)
Epoch: [60][5330/14090]	Time 0.769 (0.768)	Data 0.001 (0.002)	Loss 1.9012 (1.9996)	Prec@1 49.219 (48.695)	Prec@5 79.688 (78.756)
Epoch: [60][5340/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 2.0099 (1.9995)	Prec@1 45.312 (48.697)	Prec@5 79.688 (78.757)
Epoch: [60][5350/14090]	Time 0.850 (0.768)	Data 0.001 (0.002)	Loss 2.1157 (1.9996)	Prec@1 46.094 (48.696)	Prec@5 75.000 (78.758)
Epoch: [60][5360/14090]	Time 0.732 (0.768)	Data 0.001 (0.002)	Loss 2.0709 (1.9996)	Prec@1 47.656 (48.697)	Prec@5 78.906 (78.755)
Epoch: [60][5370/14090]	Time 0.755 (0.768)	Data 0.001 (0.002)	Loss 1.8114 (1.9995)	Prec@1 49.219 (48.698)	Prec@5 84.375 (78.756)
Epoch: [60][5380/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 1.8398 (1.9997)	Prec@1 51.562 (48.694)	Prec@5 81.250 (78.756)
Epoch: [60][5390/14090]	Time 0.782 (0.768)	Data 0.001 (0.002)	Loss 2.0283 (1.9996)	Prec@1 49.219 (48.692)	Prec@5 75.781 (78.757)
Epoch: [60][5400/14090]	Time 0.770 (0.768)	Data 0.001 (0.002)	Loss 2.0470 (1.9996)	Prec@1 50.781 (48.693)	Prec@5 78.906 (78.758)
Epoch: [60][5410/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 1.8375 (1.9995)	Prec@1 55.469 (48.697)	Prec@5 78.125 (78.757)
Epoch: [60][5420/14090]	Time 0.852 (0.768)	Data 0.001 (0.002)	Loss 1.9320 (1.9994)	Prec@1 50.781 (48.698)	Prec@5 76.562 (78.756)
Epoch: [60][5430/14090]	Time 0.752 (0.768)	Data 0.002 (0.002)	Loss 2.0812 (1.9994)	Prec@1 49.219 (48.702)	Prec@5 78.906 (78.757)
Epoch: [60][5440/14090]	Time 0.732 (0.768)	Data 0.001 (0.002)	Loss 2.1547 (1.9992)	Prec@1 46.875 (48.706)	Prec@5 76.562 (78.760)
Epoch: [60][5450/14090]	Time 0.736 (0.768)	Data 0.001 (0.002)	Loss 2.1348 (1.9990)	Prec@1 48.438 (48.711)	Prec@5 73.438 (78.763)
Epoch: [60][5460/14090]	Time 0.778 (0.768)	Data 0.001 (0.002)	Loss 2.1971 (1.9990)	Prec@1 42.969 (48.711)	Prec@5 76.562 (78.762)
Epoch: [60][5470/14090]	Time 0.749 (0.768)	Data 0.001 (0.002)	Loss 1.9199 (1.9990)	Prec@1 48.438 (48.712)	Prec@5 82.812 (78.760)
Epoch: [60][5480/14090]	Time 0.761 (0.768)	Data 0.001 (0.002)	Loss 2.1419 (1.9990)	Prec@1 46.875 (48.711)	Prec@5 75.781 (78.761)
Epoch: [60][5490/14090]	Time 0.930 (0.768)	Data 0.001 (0.002)	Loss 1.8853 (1.9989)	Prec@1 50.781 (48.714)	Prec@5 81.250 (78.760)
Epoch: [60][5500/14090]	Time 0.736 (0.768)	Data 0.001 (0.002)	Loss 1.7735 (1.9987)	Prec@1 51.562 (48.718)	Prec@5 82.031 (78.764)
Epoch: [60][5510/14090]	Time 0.757 (0.768)	Data 0.001 (0.002)	Loss 1.8784 (1.9986)	Prec@1 45.312 (48.719)	Prec@5 79.688 (78.765)
Epoch: [60][5520/14090]	Time 0.756 (0.768)	Data 0.001 (0.002)	Loss 2.2293 (1.9985)	Prec@1 44.531 (48.720)	Prec@5 72.656 (78.766)
Epoch: [60][5530/14090]	Time 0.732 (0.768)	Data 0.001 (0.002)	Loss 2.0296 (1.9986)	Prec@1 41.406 (48.717)	Prec@5 78.125 (78.766)
Epoch: [60][5540/14090]	Time 0.767 (0.768)	Data 0.001 (0.002)	Loss 2.1494 (1.9986)	Prec@1 49.219 (48.718)	Prec@5 77.344 (78.765)
Epoch: [60][5550/14090]	Time 0.724 (0.768)	Data 0.001 (0.002)	Loss 2.0898 (1.9985)	Prec@1 42.969 (48.719)	Prec@5 75.000 (78.766)
Epoch: [60][5560/14090]	Time 0.861 (0.768)	Data 0.001 (0.002)	Loss 2.1971 (1.9985)	Prec@1 51.562 (48.718)	Prec@5 75.000 (78.766)
Epoch: [60][5570/14090]	Time 0.779 (0.768)	Data 0.001 (0.002)	Loss 1.7706 (1.9985)	Prec@1 51.562 (48.718)	Prec@5 84.375 (78.765)
Epoch: [60][5580/14090]	Time 0.750 (0.768)	Data 0.001 (0.002)	Loss 1.8247 (1.9983)	Prec@1 50.781 (48.723)	Prec@5 82.031 (78.769)
Epoch: [60][5590/14090]	Time 0.767 (0.768)	Data 0.001 (0.002)	Loss 1.8208 (1.9983)	Prec@1 51.562 (48.726)	Prec@5 79.688 (78.769)
Epoch: [60][5600/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 1.7661 (1.9982)	Prec@1 53.125 (48.726)	Prec@5 80.469 (78.772)
Epoch: [60][5610/14090]	Time 0.763 (0.768)	Data 0.001 (0.002)	Loss 2.0325 (1.9981)	Prec@1 48.438 (48.727)	Prec@5 78.906 (78.773)
Epoch: [60][5620/14090]	Time 0.742 (0.768)	Data 0.003 (0.002)	Loss 2.1183 (1.9981)	Prec@1 46.094 (48.725)	Prec@5 81.250 (78.774)
Epoch: [60][5630/14090]	Time 0.880 (0.768)	Data 0.001 (0.002)	Loss 1.8676 (1.9979)	Prec@1 52.344 (48.730)	Prec@5 84.375 (78.779)
Epoch: [60][5640/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 1.7537 (1.9979)	Prec@1 53.125 (48.728)	Prec@5 85.156 (78.779)
Epoch: [60][5650/14090]	Time 0.737 (0.768)	Data 0.001 (0.002)	Loss 1.8280 (1.9979)	Prec@1 51.562 (48.726)	Prec@5 85.938 (78.782)
Epoch: [60][5660/14090]	Time 0.741 (0.768)	Data 0.001 (0.002)	Loss 2.1145 (1.9978)	Prec@1 46.094 (48.727)	Prec@5 79.688 (78.784)
Epoch: [60][5670/14090]	Time 0.733 (0.768)	Data 0.001 (0.002)	Loss 1.8632 (1.9978)	Prec@1 49.219 (48.728)	Prec@5 84.375 (78.786)
Epoch: [60][5680/14090]	Time 0.755 (0.768)	Data 0.001 (0.002)	Loss 2.0511 (1.9976)	Prec@1 51.562 (48.733)	Prec@5 76.562 (78.790)
Epoch: [60][5690/14090]	Time 0.764 (0.768)	Data 0.001 (0.002)	Loss 1.9382 (1.9976)	Prec@1 48.438 (48.731)	Prec@5 80.469 (78.793)
Epoch: [60][5700/14090]	Time 0.861 (0.768)	Data 0.001 (0.002)	Loss 2.1312 (1.9977)	Prec@1 43.750 (48.728)	Prec@5 75.000 (78.791)
Epoch: [60][5710/14090]	Time 0.761 (0.768)	Data 0.001 (0.002)	Loss 2.0191 (1.9976)	Prec@1 44.531 (48.729)	Prec@5 77.344 (78.792)
Epoch: [60][5720/14090]	Time 0.748 (0.768)	Data 0.001 (0.002)	Loss 2.2866 (1.9975)	Prec@1 42.188 (48.733)	Prec@5 70.312 (78.792)
Epoch: [60][5730/14090]	Time 0.736 (0.768)	Data 0.001 (0.002)	Loss 1.9972 (1.9975)	Prec@1 42.188 (48.734)	Prec@5 82.031 (78.792)
Epoch: [60][5740/14090]	Time 0.767 (0.768)	Data 0.001 (0.002)	Loss 2.2024 (1.9975)	Prec@1 44.531 (48.737)	Prec@5 75.000 (78.793)
Epoch: [60][5750/14090]	Time 0.745 (0.768)	Data 0.001 (0.002)	Loss 1.8163 (1.9974)	Prec@1 52.344 (48.741)	Prec@5 79.688 (78.795)
Epoch: [60][5760/14090]	Time 0.743 (0.768)	Data 0.001 (0.002)	Loss 1.7546 (1.9972)	Prec@1 53.906 (48.744)	Prec@5 83.594 (78.795)
Epoch: [60][5770/14090]	Time 0.876 (0.768)	Data 0.001 (0.002)	Loss 2.0657 (1.9972)	Prec@1 45.312 (48.743)	Prec@5 75.781 (78.794)
Epoch: [60][5780/14090]	Time 0.756 (0.768)	Data 0.001 (0.002)	Loss 2.0121 (1.9972)	Prec@1 50.000 (48.740)	Prec@5 78.125 (78.796)
Epoch: [60][5790/14090]	Time 0.778 (0.768)	Data 0.001 (0.002)	Loss 1.9664 (1.9969)	Prec@1 48.438 (48.746)	Prec@5 76.562 (78.801)
Epoch: [60][5800/14090]	Time 0.746 (0.768)	Data 0.001 (0.002)	Loss 1.9229 (1.9968)	Prec@1 47.656 (48.747)	Prec@5 73.438 (78.803)
Epoch: [60][5810/14090]	Time 0.736 (0.768)	Data 0.001 (0.002)	Loss 2.0355 (1.9968)	Prec@1 50.781 (48.748)	Prec@5 78.125 (78.802)
Epoch: [60][5820/14090]	Time 0.753 (0.768)	Data 0.001 (0.002)	Loss 2.0492 (1.9967)	Prec@1 48.438 (48.747)	Prec@5 75.781 (78.802)
Epoch: [60][5830/14090]	Time 0.762 (0.768)	Data 0.001 (0.002)	Loss 1.9641 (1.9968)	Prec@1 53.906 (48.745)	Prec@5 78.125 (78.801)
Epoch: [60][5840/14090]	Time 0.862 (0.768)	Data 0.001 (0.002)	Loss 1.9271 (1.9966)	Prec@1 50.000 (48.748)	Prec@5 77.344 (78.803)
Epoch: [60][5850/14090]	Time 0.734 (0.768)	Data 0.001 (0.002)	Loss 1.8599 (1.9967)	Prec@1 52.344 (48.749)	Prec@5 82.031 (78.804)
Epoch: [60][5860/14090]	Time 0.774 (0.768)	Data 0.001 (0.002)	Loss 1.8879 (1.9966)	Prec@1 55.469 (48.751)	Prec@5 84.375 (78.804)
Epoch: [60][5870/14090]	Time 0.759 (0.768)	Data 0.001 (0.002)	Loss 1.8308 (1.9966)	Prec@1 51.562 (48.751)	Prec@5 82.812 (78.804)
Epoch: [60][5880/14090]	Time 0.754 (0.768)	Data 0.001 (0.002)	Loss 1.8295 (1.9965)	Prec@1 43.750 (48.751)	Prec@5 82.031 (78.804)
Epoch: [60][5890/14090]	Time 0.754 (0.768)	Data 0.001 (0.002)	Loss 2.0241 (1.9966)	Prec@1 50.781 (48.752)	Prec@5 82.812 (78.805)
Epoch: [60][5900/14090]	Time 0.783 (0.768)	Data 0.001 (0.002)	Loss 1.9934 (1.9964)	Prec@1 45.312 (48.755)	Prec@5 79.688 (78.807)
Epoch: [60][5910/14090]	Time 0.890 (0.768)	Data 0.001 (0.002)	Loss 1.8559 (1.9965)	Prec@1 50.000 (48.756)	Prec@5 85.156 (78.807)
Epoch: [60][5920/14090]	Time 0.739 (0.768)	Data 0.001 (0.002)	Loss 1.7573 (1.9966)	Prec@1 52.344 (48.755)	Prec@5 85.938 (78.806)
Epoch: [60][5930/14090]	Time 0.755 (0.768)	Data 0.001 (0.002)	Loss 1.9844 (1.9966)	Prec@1 44.531 (48.754)	Prec@5 82.031 (78.807)
Epoch: [60][5940/14090]	Time 0.783 (0.768)	Data 0.001 (0.002)	Loss 1.7750 (1.9966)	Prec@1 55.469 (48.753)	Prec@5 83.594 (78.805)
Epoch: [60][5950/14090]	Time 0.772 (0.768)	Data 0.001 (0.002)	Loss 1.8467 (1.9967)	Prec@1 49.219 (48.750)	Prec@5 82.812 (78.804)
Epoch: [60][5960/14090]	Time 0.754 (0.768)	Data 0.001 (0.002)	Loss 2.1545 (1.9967)	Prec@1 43.750 (48.752)	Prec@5 82.031 (78.806)
Epoch: [60][5970/14090]	Time 0.781 (0.768)	Data 0.001 (0.002)	Loss 2.1923 (1.9966)	Prec@1 49.219 (48.751)	Prec@5 75.781 (78.806)
Epoch: [60][5980/14090]	Time 0.956 (0.768)	Data 0.001 (0.002)	Loss 1.8876 (1.9965)	Prec@1 46.875 (48.753)	Prec@5 82.812 (78.809)
Epoch: [60][5990/14090]	Time 0.736 (0.768)	Data 0.001 (0.002)	Loss 2.0028 (1.9965)	Prec@1 54.688 (48.756)	Prec@5 79.688 (78.806)
Epoch: [60][6000/14090]	Time 0.747 (0.768)	Data 0.001 (0.002)	Loss 2.1439 (1.9966)	Prec@1 48.438 (48.754)	Prec@5 78.906 (78.807)
Epoch: [60][6010/14090]	Time 0.744 (0.768)	Data 0.001 (0.002)	Loss 2.0047 (1.9967)	Prec@1 47.656 (48.753)	Prec@5 85.156 (78.807)
Epoch: [60][6020/14090]	Time 0.761 (0.768)	Data 0.001 (0.002)	Loss 1.8497 (1.9967)	Prec@1 46.094 (48.753)	Prec@5 81.250 (78.808)
Epoch: [60][6030/14090]	Time 0.752 (0.768)	Data 0.001 (0.002)	Loss 2.1183 (1.9967)	Prec@1 45.312 (48.748)	Prec@5 77.344 (78.807)
Epoch: [60][6040/14090]	Time 0.765 (0.768)	Data 0.001 (0.002)	Loss 1.8741 (1.9967)	Prec@1 50.781 (48.748)	Prec@5 84.375 (78.810)
Epoch: [60][6050/14090]	Time 0.832 (0.768)	Data 0.001 (0.002)	Loss 1.8447 (1.9966)	Prec@1 51.562 (48.752)	Prec@5 79.688 (78.809)
Epoch: [60][6060/14090]	Time 0.771 (0.768)	Data 0.001 (0.002)	Loss 1.7638 (1.9965)	Prec@1 53.125 (48.754)	Prec@5 83.594 (78.812)
Epoch: [60][6070/14090]	Time 0.749 (0.768)	Data 0.001 (0.002)	Loss 1.8444 (1.9964)	Prec@1 50.781 (48.754)	Prec@5 79.688 (78.813)
Epoch: [60][6080/14090]	Time 0.730 (0.768)	Data 0.001 (0.002)	Loss 1.8468 (1.9963)	Prec@1 53.125 (48.754)	Prec@5 80.469 (78.814)
Epoch: [60][6090/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 1.9568 (1.9962)	Prec@1 46.094 (48.756)	Prec@5 82.812 (78.817)
Epoch: [60][6100/14090]	Time 0.737 (0.768)	Data 0.001 (0.002)	Loss 1.9577 (1.9962)	Prec@1 50.781 (48.758)	Prec@5 82.031 (78.819)
Epoch: [60][6110/14090]	Time 0.738 (0.768)	Data 0.001 (0.002)	Loss 1.8915 (1.9960)	Prec@1 53.906 (48.758)	Prec@5 82.812 (78.823)
Epoch: [60][6120/14090]	Time 0.868 (0.768)	Data 0.001 (0.002)	Loss 1.9023 (1.9960)	Prec@1 53.906 (48.761)	Prec@5 80.469 (78.822)
Epoch: [60][6130/14090]	Time 0.763 (0.768)	Data 0.001 (0.002)	Loss 1.7656 (1.9959)	Prec@1 47.656 (48.760)	Prec@5 82.031 (78.823)
Epoch: [60][6140/14090]	Time 0.739 (0.768)	Data 0.001 (0.002)	Loss 2.0487 (1.9958)	Prec@1 46.875 (48.763)	Prec@5 72.656 (78.823)
Epoch: [60][6150/14090]	Time 0.757 (0.768)	Data 0.001 (0.002)	Loss 2.0365 (1.9958)	Prec@1 45.312 (48.764)	Prec@5 82.812 (78.825)
Epoch: [60][6160/14090]	Time 0.747 (0.768)	Data 0.001 (0.002)	Loss 2.0503 (1.9958)	Prec@1 49.219 (48.763)	Prec@5 79.688 (78.824)
Epoch: [60][6170/14090]	Time 0.748 (0.768)	Data 0.001 (0.002)	Loss 1.8085 (1.9959)	Prec@1 51.562 (48.760)	Prec@5 85.938 (78.824)
Epoch: [60][6180/14090]	Time 0.738 (0.768)	Data 0.001 (0.002)	Loss 1.6589 (1.9958)	Prec@1 56.250 (48.762)	Prec@5 86.719 (78.826)
Epoch: [60][6190/14090]	Time 0.853 (0.768)	Data 0.001 (0.002)	Loss 1.9739 (1.9957)	Prec@1 51.562 (48.764)	Prec@5 82.031 (78.829)
Epoch: [60][6200/14090]	Time 0.747 (0.768)	Data 0.001 (0.002)	Loss 1.9191 (1.9955)	Prec@1 53.906 (48.771)	Prec@5 73.438 (78.832)
Epoch: [60][6210/14090]	Time 0.769 (0.768)	Data 0.002 (0.002)	Loss 1.8263 (1.9955)	Prec@1 49.219 (48.772)	Prec@5 82.031 (78.832)
Epoch: [60][6220/14090]	Time 0.777 (0.768)	Data 0.001 (0.002)	Loss 1.9609 (1.9954)	Prec@1 46.875 (48.772)	Prec@5 78.906 (78.833)
Epoch: [60][6230/14090]	Time 0.803 (0.768)	Data 0.001 (0.002)	Loss 1.9066 (1.9954)	Prec@1 50.000 (48.774)	Prec@5 84.375 (78.834)
Epoch: [60][6240/14090]	Time 0.758 (0.768)	Data 0.001 (0.002)	Loss 1.8839 (1.9954)	Prec@1 57.031 (48.775)	Prec@5 83.594 (78.833)
Epoch: [60][6250/14090]	Time 0.780 (0.768)	Data 0.001 (0.002)	Loss 2.0666 (1.9953)	Prec@1 45.312 (48.777)	Prec@5 79.688 (78.835)
Epoch: [60][6260/14090]	Time 0.850 (0.768)	Data 0.001 (0.002)	Loss 1.9655 (1.9952)	Prec@1 47.656 (48.778)	Prec@5 85.156 (78.835)
Epoch: [60][6270/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 2.0311 (1.9951)	Prec@1 53.125 (48.780)	Prec@5 76.562 (78.839)
Epoch: [60][6280/14090]	Time 0.738 (0.768)	Data 0.001 (0.002)	Loss 1.8965 (1.9951)	Prec@1 50.781 (48.780)	Prec@5 83.594 (78.839)
Epoch: [60][6290/14090]	Time 0.780 (0.768)	Data 0.001 (0.002)	Loss 2.3756 (1.9951)	Prec@1 42.969 (48.778)	Prec@5 72.656 (78.838)
Epoch: [60][6300/14090]	Time 0.738 (0.768)	Data 0.001 (0.002)	Loss 2.0091 (1.9951)	Prec@1 46.875 (48.777)	Prec@5 76.562 (78.839)
Epoch: [60][6310/14090]	Time 0.756 (0.768)	Data 0.001 (0.002)	Loss 1.6884 (1.9950)	Prec@1 53.125 (48.781)	Prec@5 84.375 (78.840)
Epoch: [60][6320/14090]	Time 0.772 (0.768)	Data 0.001 (0.002)	Loss 1.9348 (1.9948)	Prec@1 51.562 (48.783)	Prec@5 77.344 (78.843)
Epoch: [60][6330/14090]	Time 0.847 (0.768)	Data 0.001 (0.002)	Loss 1.8517 (1.9946)	Prec@1 48.438 (48.784)	Prec@5 80.469 (78.847)
Epoch: [60][6340/14090]	Time 0.747 (0.768)	Data 0.001 (0.002)	Loss 1.8329 (1.9946)	Prec@1 55.469 (48.782)	Prec@5 81.250 (78.848)
Epoch: [60][6350/14090]	Time 0.736 (0.768)	Data 0.001 (0.002)	Loss 2.0071 (1.9946)	Prec@1 51.562 (48.783)	Prec@5 75.781 (78.849)
Epoch: [60][6360/14090]	Time 0.738 (0.768)	Data 0.001 (0.002)	Loss 1.9140 (1.9945)	Prec@1 53.906 (48.784)	Prec@5 81.250 (78.850)
Epoch: [60][6370/14090]	Time 0.755 (0.768)	Data 0.001 (0.002)	Loss 1.9402 (1.9945)	Prec@1 55.469 (48.786)	Prec@5 80.469 (78.850)
Epoch: [60][6380/14090]	Time 0.732 (0.768)	Data 0.001 (0.002)	Loss 1.7879 (1.9944)	Prec@1 47.656 (48.788)	Prec@5 80.469 (78.851)
Epoch: [60][6390/14090]	Time 0.777 (0.768)	Data 0.001 (0.002)	Loss 2.0789 (1.9944)	Prec@1 44.531 (48.786)	Prec@5 75.781 (78.851)
Epoch: [60][6400/14090]	Time 0.849 (0.768)	Data 0.001 (0.002)	Loss 2.0566 (1.9945)	Prec@1 49.219 (48.784)	Prec@5 77.344 (78.848)
Epoch: [60][6410/14090]	Time 0.748 (0.768)	Data 0.001 (0.002)	Loss 1.7294 (1.9944)	Prec@1 56.250 (48.790)	Prec@5 84.375 (78.852)
Epoch: [60][6420/14090]	Time 0.733 (0.768)	Data 0.001 (0.002)	Loss 1.7896 (1.9942)	Prec@1 57.031 (48.796)	Prec@5 85.156 (78.854)
Epoch: [60][6430/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 1.8229 (1.9942)	Prec@1 57.031 (48.793)	Prec@5 83.594 (78.855)
Epoch: [60][6440/14090]	Time 0.759 (0.768)	Data 0.001 (0.002)	Loss 1.8458 (1.9942)	Prec@1 51.562 (48.793)	Prec@5 82.031 (78.858)
Epoch: [60][6450/14090]	Time 0.759 (0.768)	Data 0.001 (0.002)	Loss 2.0874 (1.9941)	Prec@1 47.656 (48.795)	Prec@5 78.906 (78.859)
Epoch: [60][6460/14090]	Time 0.730 (0.768)	Data 0.001 (0.002)	Loss 2.0546 (1.9940)	Prec@1 44.531 (48.797)	Prec@5 79.688 (78.861)
Epoch: [60][6470/14090]	Time 0.866 (0.768)	Data 0.001 (0.002)	Loss 1.9747 (1.9940)	Prec@1 46.094 (48.796)	Prec@5 76.562 (78.860)
Epoch: [60][6480/14090]	Time 0.731 (0.768)	Data 0.001 (0.002)	Loss 2.0530 (1.9940)	Prec@1 48.438 (48.797)	Prec@5 72.656 (78.859)
Epoch: [60][6490/14090]	Time 0.736 (0.768)	Data 0.001 (0.002)	Loss 2.1543 (1.9939)	Prec@1 43.750 (48.796)	Prec@5 79.688 (78.861)
Epoch: [60][6500/14090]	Time 0.736 (0.768)	Data 0.001 (0.002)	Loss 1.6865 (1.9940)	Prec@1 56.250 (48.797)	Prec@5 85.938 (78.860)
Epoch: [60][6510/14090]	Time 0.779 (0.768)	Data 0.001 (0.002)	Loss 2.0165 (1.9940)	Prec@1 50.781 (48.795)	Prec@5 78.906 (78.857)
Epoch: [60][6520/14090]	Time 0.753 (0.768)	Data 0.001 (0.002)	Loss 2.1364 (1.9941)	Prec@1 46.875 (48.795)	Prec@5 74.219 (78.855)
Epoch: [60][6530/14090]	Time 0.723 (0.768)	Data 0.001 (0.002)	Loss 2.0163 (1.9942)	Prec@1 46.875 (48.793)	Prec@5 79.688 (78.855)
Epoch: [60][6540/14090]	Time 0.892 (0.768)	Data 0.001 (0.002)	Loss 2.1935 (1.9942)	Prec@1 50.000 (48.794)	Prec@5 67.969 (78.853)
Epoch: [60][6550/14090]	Time 0.730 (0.768)	Data 0.001 (0.002)	Loss 2.3236 (1.9942)	Prec@1 42.188 (48.796)	Prec@5 69.531 (78.852)
Epoch: [60][6560/14090]	Time 0.728 (0.768)	Data 0.001 (0.002)	Loss 2.0636 (1.9944)	Prec@1 47.656 (48.792)	Prec@5 75.781 (78.849)
Epoch: [60][6570/14090]	Time 0.753 (0.768)	Data 0.001 (0.002)	Loss 1.8382 (1.9944)	Prec@1 53.125 (48.793)	Prec@5 82.812 (78.849)
Epoch: [60][6580/14090]	Time 0.753 (0.768)	Data 0.001 (0.002)	Loss 2.0496 (1.9944)	Prec@1 47.656 (48.790)	Prec@5 72.656 (78.849)
Epoch: [60][6590/14090]	Time 0.744 (0.768)	Data 0.001 (0.002)	Loss 1.8789 (1.9943)	Prec@1 50.000 (48.791)	Prec@5 85.156 (78.851)
Epoch: [60][6600/14090]	Time 0.732 (0.768)	Data 0.001 (0.002)	Loss 1.9319 (1.9942)	Prec@1 50.000 (48.792)	Prec@5 75.781 (78.853)
Epoch: [60][6610/14090]	Time 0.907 (0.768)	Data 0.001 (0.002)	Loss 1.9664 (1.9942)	Prec@1 45.312 (48.791)	Prec@5 81.250 (78.852)
Epoch: [60][6620/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 1.9723 (1.9943)	Prec@1 52.344 (48.790)	Prec@5 78.906 (78.851)
Epoch: [60][6630/14090]	Time 0.764 (0.768)	Data 0.001 (0.002)	Loss 2.0647 (1.9943)	Prec@1 50.000 (48.791)	Prec@5 77.344 (78.853)
Epoch: [60][6640/14090]	Time 0.727 (0.768)	Data 0.001 (0.002)	Loss 1.8242 (1.9942)	Prec@1 53.906 (48.793)	Prec@5 80.469 (78.855)
Epoch: [60][6650/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 2.0978 (1.9941)	Prec@1 43.750 (48.792)	Prec@5 78.125 (78.857)
Epoch: [60][6660/14090]	Time 0.757 (0.768)	Data 0.001 (0.002)	Loss 1.8552 (1.9940)	Prec@1 53.125 (48.793)	Prec@5 78.125 (78.860)
Epoch: [60][6670/14090]	Time 0.757 (0.768)	Data 0.001 (0.002)	Loss 1.9074 (1.9939)	Prec@1 50.000 (48.795)	Prec@5 77.344 (78.861)
Epoch: [60][6680/14090]	Time 0.839 (0.768)	Data 0.001 (0.002)	Loss 1.8807 (1.9939)	Prec@1 49.219 (48.795)	Prec@5 78.906 (78.860)
Epoch: [60][6690/14090]	Time 0.735 (0.768)	Data 0.001 (0.002)	Loss 2.1287 (1.9939)	Prec@1 42.969 (48.796)	Prec@5 76.562 (78.858)
Epoch: [60][6700/14090]	Time 0.737 (0.768)	Data 0.001 (0.002)	Loss 2.0272 (1.9938)	Prec@1 49.219 (48.801)	Prec@5 79.688 (78.862)
Epoch: [60][6710/14090]	Time 0.771 (0.768)	Data 0.001 (0.002)	Loss 1.9919 (1.9937)	Prec@1 42.969 (48.802)	Prec@5 80.469 (78.862)
Epoch: [60][6720/14090]	Time 0.777 (0.768)	Data 0.001 (0.002)	Loss 2.0243 (1.9936)	Prec@1 46.875 (48.805)	Prec@5 77.344 (78.863)
Epoch: [60][6730/14090]	Time 0.744 (0.768)	Data 0.001 (0.002)	Loss 2.2302 (1.9936)	Prec@1 42.188 (48.804)	Prec@5 72.656 (78.864)
Epoch: [60][6740/14090]	Time 0.760 (0.768)	Data 0.001 (0.002)	Loss 1.8350 (1.9934)	Prec@1 50.781 (48.809)	Prec@5 83.594 (78.868)
Epoch: [60][6750/14090]	Time 0.849 (0.768)	Data 0.001 (0.002)	Loss 1.7875 (1.9932)	Prec@1 57.031 (48.814)	Prec@5 81.250 (78.872)
Epoch: [60][6760/14090]	Time 0.732 (0.768)	Data 0.001 (0.002)	Loss 1.8239 (1.9932)	Prec@1 57.031 (48.817)	Prec@5 82.031 (78.872)
Epoch: [60][6770/14090]	Time 0.733 (0.768)	Data 0.001 (0.002)	Loss 1.8817 (1.9932)	Prec@1 52.344 (48.818)	Prec@5 85.156 (78.873)
Epoch: [60][6780/14090]	Time 0.765 (0.768)	Data 0.001 (0.002)	Loss 2.0014 (1.9931)	Prec@1 44.531 (48.818)	Prec@5 79.688 (78.875)
Epoch: [60][6790/14090]	Time 0.763 (0.768)	Data 0.001 (0.002)	Loss 1.8858 (1.9929)	Prec@1 50.000 (48.822)	Prec@5 77.344 (78.879)
Epoch: [60][6800/14090]	Time 0.757 (0.768)	Data 0.001 (0.002)	Loss 2.1715 (1.9928)	Prec@1 42.969 (48.821)	Prec@5 73.438 (78.881)
Epoch: [60][6810/14090]	Time 0.757 (0.768)	Data 0.001 (0.002)	Loss 1.7968 (1.9928)	Prec@1 51.562 (48.821)	Prec@5 75.781 (78.879)
Epoch: [60][6820/14090]	Time 0.886 (0.768)	Data 0.001 (0.002)	Loss 1.8441 (1.9928)	Prec@1 57.031 (48.821)	Prec@5 81.250 (78.878)
Epoch: [60][6830/14090]	Time 0.777 (0.768)	Data 0.001 (0.002)	Loss 1.9475 (1.9928)	Prec@1 47.656 (48.821)	Prec@5 78.125 (78.877)
Epoch: [60][6840/14090]	Time 0.727 (0.768)	Data 0.001 (0.002)	Loss 1.9106 (1.9928)	Prec@1 48.438 (48.823)	Prec@5 78.125 (78.879)
Epoch: [60][6850/14090]	Time 0.752 (0.768)	Data 0.001 (0.002)	Loss 1.6961 (1.9926)	Prec@1 58.594 (48.826)	Prec@5 85.156 (78.880)
Epoch: [60][6860/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 2.1111 (1.9926)	Prec@1 48.438 (48.826)	Prec@5 71.875 (78.880)
Epoch: [60][6870/14090]	Time 0.733 (0.768)	Data 0.001 (0.002)	Loss 1.9604 (1.9926)	Prec@1 46.094 (48.827)	Prec@5 78.125 (78.879)
Epoch: [60][6880/14090]	Time 0.739 (0.768)	Data 0.001 (0.002)	Loss 1.8752 (1.9926)	Prec@1 50.000 (48.826)	Prec@5 78.125 (78.878)
Epoch: [60][6890/14090]	Time 0.861 (0.768)	Data 0.001 (0.002)	Loss 2.0079 (1.9926)	Prec@1 48.438 (48.826)	Prec@5 81.250 (78.879)
Epoch: [60][6900/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 2.1929 (1.9926)	Prec@1 43.750 (48.827)	Prec@5 74.219 (78.877)
Epoch: [60][6910/14090]	Time 0.731 (0.768)	Data 0.001 (0.002)	Loss 2.1382 (1.9927)	Prec@1 43.750 (48.826)	Prec@5 73.438 (78.875)
Epoch: [60][6920/14090]	Time 0.773 (0.768)	Data 0.001 (0.002)	Loss 1.9902 (1.9927)	Prec@1 47.656 (48.827)	Prec@5 76.562 (78.876)
Epoch: [60][6930/14090]	Time 0.765 (0.768)	Data 0.001 (0.002)	Loss 2.0154 (1.9927)	Prec@1 43.750 (48.825)	Prec@5 81.250 (78.876)
Epoch: [60][6940/14090]	Time 0.759 (0.768)	Data 0.001 (0.002)	Loss 2.2012 (1.9927)	Prec@1 44.531 (48.826)	Prec@5 78.906 (78.877)
Epoch: [60][6950/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 2.1915 (1.9929)	Prec@1 44.531 (48.822)	Prec@5 75.000 (78.874)
Epoch: [60][6960/14090]	Time 0.838 (0.768)	Data 0.001 (0.002)	Loss 1.9389 (1.9928)	Prec@1 50.000 (48.823)	Prec@5 80.469 (78.875)
Epoch: [60][6970/14090]	Time 0.748 (0.768)	Data 0.001 (0.002)	Loss 1.9476 (1.9928)	Prec@1 50.000 (48.824)	Prec@5 80.469 (78.875)
Epoch: [60][6980/14090]	Time 0.735 (0.768)	Data 0.001 (0.002)	Loss 1.6499 (1.9927)	Prec@1 55.469 (48.828)	Prec@5 85.156 (78.879)
Epoch: [60][6990/14090]	Time 0.735 (0.768)	Data 0.001 (0.002)	Loss 1.9360 (1.9927)	Prec@1 50.000 (48.830)	Prec@5 78.906 (78.879)
Epoch: [60][7000/14090]	Time 0.748 (0.768)	Data 0.001 (0.002)	Loss 2.3781 (1.9926)	Prec@1 44.531 (48.832)	Prec@5 77.344 (78.879)
Epoch: [60][7010/14090]	Time 0.765 (0.768)	Data 0.001 (0.002)	Loss 1.8348 (1.9927)	Prec@1 46.094 (48.832)	Prec@5 80.469 (78.878)
Epoch: [60][7020/14090]	Time 0.734 (0.768)	Data 0.001 (0.002)	Loss 1.7292 (1.9926)	Prec@1 52.344 (48.833)	Prec@5 83.594 (78.878)
Epoch: [60][7030/14090]	Time 0.932 (0.768)	Data 0.001 (0.002)	Loss 2.1685 (1.9925)	Prec@1 48.438 (48.835)	Prec@5 75.781 (78.880)
Epoch: [60][7040/14090]	Time 0.749 (0.768)	Data 0.001 (0.002)	Loss 2.4290 (1.9927)	Prec@1 34.375 (48.832)	Prec@5 72.656 (78.877)
Epoch: [60][7050/14090]	Time 0.748 (0.768)	Data 0.001 (0.002)	Loss 1.7264 (1.9926)	Prec@1 58.594 (48.832)	Prec@5 80.469 (78.879)
Epoch: [60][7060/14090]	Time 0.745 (0.768)	Data 0.001 (0.002)	Loss 2.0365 (1.9926)	Prec@1 51.562 (48.830)	Prec@5 76.562 (78.879)
Epoch: [60][7070/14090]	Time 0.796 (0.768)	Data 0.001 (0.002)	Loss 1.9185 (1.9926)	Prec@1 53.125 (48.828)	Prec@5 81.250 (78.880)
Epoch: [60][7080/14090]	Time 0.746 (0.768)	Data 0.001 (0.002)	Loss 1.9007 (1.9926)	Prec@1 54.688 (48.831)	Prec@5 82.812 (78.880)
Epoch: [60][7090/14090]	Time 0.735 (0.768)	Data 0.001 (0.002)	Loss 2.0002 (1.9926)	Prec@1 46.094 (48.832)	Prec@5 80.469 (78.879)
Epoch: [60][7100/14090]	Time 0.917 (0.768)	Data 0.001 (0.002)	Loss 2.0610 (1.9926)	Prec@1 48.438 (48.833)	Prec@5 82.031 (78.880)
Epoch: [60][7110/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 2.1439 (1.9926)	Prec@1 50.781 (48.836)	Prec@5 75.781 (78.881)
Epoch: [60][7120/14090]	Time 0.760 (0.768)	Data 0.001 (0.002)	Loss 1.8897 (1.9925)	Prec@1 54.688 (48.837)	Prec@5 81.250 (78.882)
Epoch: [60][7130/14090]	Time 0.728 (0.768)	Data 0.001 (0.002)	Loss 2.0139 (1.9926)	Prec@1 45.312 (48.834)	Prec@5 81.250 (78.881)
Epoch: [60][7140/14090]	Time 0.764 (0.768)	Data 0.001 (0.002)	Loss 1.9188 (1.9925)	Prec@1 53.125 (48.837)	Prec@5 78.125 (78.883)
Epoch: [60][7150/14090]	Time 0.737 (0.768)	Data 0.001 (0.002)	Loss 2.0426 (1.9925)	Prec@1 44.531 (48.838)	Prec@5 82.031 (78.886)
Epoch: [60][7160/14090]	Time 0.724 (0.768)	Data 0.001 (0.002)	Loss 1.6548 (1.9924)	Prec@1 60.156 (48.837)	Prec@5 84.375 (78.886)
Epoch: [60][7170/14090]	Time 0.876 (0.768)	Data 0.001 (0.002)	Loss 1.8460 (1.9924)	Prec@1 48.438 (48.839)	Prec@5 81.250 (78.888)
Epoch: [60][7180/14090]	Time 0.734 (0.768)	Data 0.001 (0.002)	Loss 1.9707 (1.9924)	Prec@1 53.125 (48.840)	Prec@5 81.250 (78.887)
Epoch: [60][7190/14090]	Time 0.741 (0.768)	Data 0.001 (0.002)	Loss 2.0617 (1.9924)	Prec@1 44.531 (48.839)	Prec@5 79.688 (78.889)
Epoch: [60][7200/14090]	Time 0.766 (0.768)	Data 0.001 (0.002)	Loss 2.2974 (1.9924)	Prec@1 42.188 (48.839)	Prec@5 72.656 (78.888)
Epoch: [60][7210/14090]	Time 0.729 (0.768)	Data 0.001 (0.002)	Loss 1.8881 (1.9923)	Prec@1 50.781 (48.840)	Prec@5 80.469 (78.891)
Epoch: [60][7220/14090]	Time 0.779 (0.768)	Data 0.001 (0.002)	Loss 1.9291 (1.9922)	Prec@1 53.125 (48.842)	Prec@5 76.562 (78.892)
Epoch: [60][7230/14090]	Time 0.732 (0.768)	Data 0.001 (0.002)	Loss 1.8471 (1.9921)	Prec@1 51.562 (48.842)	Prec@5 81.250 (78.892)
Epoch: [60][7240/14090]	Time 0.865 (0.768)	Data 0.001 (0.002)	Loss 1.9431 (1.9921)	Prec@1 48.438 (48.842)	Prec@5 79.688 (78.893)
Epoch: [60][7250/14090]	Time 0.741 (0.768)	Data 0.001 (0.002)	Loss 1.7587 (1.9920)	Prec@1 53.906 (48.843)	Prec@5 82.812 (78.894)
Epoch: [60][7260/14090]	Time 0.754 (0.768)	Data 0.001 (0.002)	Loss 2.1962 (1.9922)	Prec@1 41.406 (48.839)	Prec@5 72.656 (78.891)
Epoch: [60][7270/14090]	Time 0.774 (0.768)	Data 0.001 (0.002)	Loss 2.0512 (1.9922)	Prec@1 39.844 (48.839)	Prec@5 78.125 (78.891)
Epoch: [60][7280/14090]	Time 0.733 (0.768)	Data 0.001 (0.002)	Loss 2.0525 (1.9921)	Prec@1 47.656 (48.840)	Prec@5 75.781 (78.893)
Epoch: [60][7290/14090]	Time 0.725 (0.768)	Data 0.001 (0.002)	Loss 2.0763 (1.9920)	Prec@1 49.219 (48.843)	Prec@5 76.562 (78.894)
Epoch: [60][7300/14090]	Time 0.729 (0.768)	Data 0.001 (0.002)	Loss 2.1164 (1.9920)	Prec@1 46.875 (48.843)	Prec@5 75.781 (78.893)
Epoch: [60][7310/14090]	Time 0.933 (0.768)	Data 0.001 (0.002)	Loss 1.9137 (1.9919)	Prec@1 46.094 (48.846)	Prec@5 78.906 (78.895)
Epoch: [60][7320/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 2.0112 (1.9919)	Prec@1 53.125 (48.847)	Prec@5 75.781 (78.893)
Epoch: [60][7330/14090]	Time 0.739 (0.768)	Data 0.001 (0.002)	Loss 2.1210 (1.9918)	Prec@1 42.188 (48.848)	Prec@5 78.906 (78.896)
Epoch: [60][7340/14090]	Time 0.731 (0.768)	Data 0.001 (0.002)	Loss 1.8759 (1.9917)	Prec@1 50.000 (48.849)	Prec@5 80.469 (78.898)
Epoch: [60][7350/14090]	Time 0.743 (0.768)	Data 0.001 (0.002)	Loss 1.9367 (1.9917)	Prec@1 47.656 (48.850)	Prec@5 78.125 (78.898)
Epoch: [60][7360/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 2.0045 (1.9915)	Prec@1 46.875 (48.852)	Prec@5 80.469 (78.900)
Epoch: [60][7370/14090]	Time 0.745 (0.768)	Data 0.001 (0.002)	Loss 1.8613 (1.9915)	Prec@1 53.906 (48.852)	Prec@5 81.250 (78.901)
Epoch: [60][7380/14090]	Time 1.001 (0.768)	Data 0.001 (0.002)	Loss 2.2943 (1.9914)	Prec@1 45.312 (48.855)	Prec@5 75.000 (78.903)
Epoch: [60][7390/14090]	Time 0.741 (0.768)	Data 0.002 (0.002)	Loss 2.1207 (1.9914)	Prec@1 42.188 (48.854)	Prec@5 77.344 (78.904)
Epoch: [60][7400/14090]	Time 0.765 (0.768)	Data 0.001 (0.002)	Loss 1.6684 (1.9913)	Prec@1 57.031 (48.855)	Prec@5 83.594 (78.904)
Epoch: [60][7410/14090]	Time 0.736 (0.768)	Data 0.002 (0.002)	Loss 1.9341 (1.9912)	Prec@1 42.188 (48.855)	Prec@5 83.594 (78.907)
Epoch: [60][7420/14090]	Time 0.746 (0.768)	Data 0.002 (0.002)	Loss 1.8962 (1.9911)	Prec@1 49.219 (48.858)	Prec@5 81.250 (78.909)
Epoch: [60][7430/14090]	Time 0.774 (0.768)	Data 0.001 (0.002)	Loss 1.9211 (1.9910)	Prec@1 53.125 (48.862)	Prec@5 79.688 (78.910)
Epoch: [60][7440/14090]	Time 0.755 (0.768)	Data 0.001 (0.002)	Loss 1.7677 (1.9909)	Prec@1 51.562 (48.863)	Prec@5 85.156 (78.912)
Epoch: [60][7450/14090]	Time 0.884 (0.768)	Data 0.001 (0.002)	Loss 1.9595 (1.9908)	Prec@1 50.000 (48.867)	Prec@5 80.469 (78.914)
Epoch: [60][7460/14090]	Time 0.739 (0.768)	Data 0.001 (0.002)	Loss 1.7812 (1.9907)	Prec@1 53.906 (48.871)	Prec@5 82.812 (78.914)
Epoch: [60][7470/14090]	Time 0.759 (0.768)	Data 0.001 (0.002)	Loss 1.7616 (1.9907)	Prec@1 54.688 (48.874)	Prec@5 82.812 (78.915)
Epoch: [60][7480/14090]	Time 0.737 (0.768)	Data 0.001 (0.002)	Loss 1.8843 (1.9906)	Prec@1 52.344 (48.875)	Prec@5 79.688 (78.914)
Epoch: [60][7490/14090]	Time 0.736 (0.768)	Data 0.001 (0.002)	Loss 1.9119 (1.9906)	Prec@1 46.875 (48.877)	Prec@5 84.375 (78.915)
Epoch: [60][7500/14090]	Time 0.769 (0.768)	Data 0.001 (0.002)	Loss 1.7675 (1.9906)	Prec@1 50.781 (48.876)	Prec@5 83.594 (78.916)
Epoch: [60][7510/14090]	Time 0.738 (0.768)	Data 0.001 (0.002)	Loss 2.2023 (1.9906)	Prec@1 46.875 (48.873)	Prec@5 75.781 (78.914)
Epoch: [60][7520/14090]	Time 0.839 (0.768)	Data 0.001 (0.002)	Loss 1.8837 (1.9907)	Prec@1 50.781 (48.869)	Prec@5 84.375 (78.916)
Epoch: [60][7530/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 2.2126 (1.9908)	Prec@1 41.406 (48.865)	Prec@5 75.000 (78.913)
Epoch: [60][7540/14090]	Time 0.753 (0.768)	Data 0.001 (0.002)	Loss 1.8027 (1.9908)	Prec@1 52.344 (48.865)	Prec@5 81.250 (78.914)
Epoch: [60][7550/14090]	Time 0.759 (0.768)	Data 0.001 (0.002)	Loss 2.1493 (1.9907)	Prec@1 48.438 (48.867)	Prec@5 77.344 (78.915)
Epoch: [60][7560/14090]	Time 0.774 (0.768)	Data 0.001 (0.002)	Loss 1.7773 (1.9908)	Prec@1 56.250 (48.865)	Prec@5 84.375 (78.915)
Epoch: [60][7570/14090]	Time 0.744 (0.768)	Data 0.001 (0.002)	Loss 1.7708 (1.9908)	Prec@1 56.250 (48.865)	Prec@5 87.500 (78.916)
Epoch: [60][7580/14090]	Time 0.782 (0.768)	Data 0.001 (0.002)	Loss 1.8338 (1.9907)	Prec@1 53.906 (48.867)	Prec@5 81.250 (78.917)
Epoch: [60][7590/14090]	Time 0.892 (0.768)	Data 0.001 (0.002)	Loss 1.7352 (1.9906)	Prec@1 55.469 (48.869)	Prec@5 82.812 (78.919)
Epoch: [60][7600/14090]	Time 0.738 (0.768)	Data 0.002 (0.002)	Loss 1.8516 (1.9906)	Prec@1 50.000 (48.870)	Prec@5 81.250 (78.918)
Epoch: [60][7610/14090]	Time 0.728 (0.768)	Data 0.001 (0.002)	Loss 1.8525 (1.9906)	Prec@1 50.000 (48.870)	Prec@5 79.688 (78.919)
Epoch: [60][7620/14090]	Time 0.749 (0.768)	Data 0.001 (0.002)	Loss 1.9298 (1.9906)	Prec@1 46.875 (48.872)	Prec@5 79.688 (78.919)
Epoch: [60][7630/14090]	Time 0.749 (0.768)	Data 0.001 (0.002)	Loss 2.0747 (1.9906)	Prec@1 41.406 (48.872)	Prec@5 80.469 (78.922)
Epoch: [60][7640/14090]	Time 0.749 (0.768)	Data 0.001 (0.002)	Loss 1.9404 (1.9905)	Prec@1 53.125 (48.871)	Prec@5 80.469 (78.925)
Epoch: [60][7650/14090]	Time 0.729 (0.768)	Data 0.001 (0.002)	Loss 1.8306 (1.9904)	Prec@1 49.219 (48.871)	Prec@5 84.375 (78.928)
Epoch: [60][7660/14090]	Time 0.877 (0.768)	Data 0.001 (0.002)	Loss 1.7954 (1.9903)	Prec@1 46.875 (48.875)	Prec@5 81.250 (78.931)
Epoch: [60][7670/14090]	Time 0.732 (0.768)	Data 0.001 (0.002)	Loss 2.2611 (1.9903)	Prec@1 44.531 (48.871)	Prec@5 76.562 (78.930)
Epoch: [60][7680/14090]	Time 0.761 (0.768)	Data 0.001 (0.002)	Loss 2.1121 (1.9903)	Prec@1 42.188 (48.869)	Prec@5 75.781 (78.930)
Epoch: [60][7690/14090]	Time 0.736 (0.768)	Data 0.001 (0.002)	Loss 2.2387 (1.9905)	Prec@1 44.531 (48.867)	Prec@5 74.219 (78.929)
Epoch: [60][7700/14090]	Time 0.755 (0.768)	Data 0.002 (0.002)	Loss 2.1076 (1.9904)	Prec@1 45.312 (48.868)	Prec@5 82.031 (78.929)
Epoch: [60][7710/14090]	Time 0.738 (0.768)	Data 0.001 (0.002)	Loss 1.7370 (1.9904)	Prec@1 53.906 (48.868)	Prec@5 84.375 (78.930)
Epoch: [60][7720/14090]	Time 0.745 (0.768)	Data 0.001 (0.002)	Loss 1.9207 (1.9904)	Prec@1 51.562 (48.870)	Prec@5 78.125 (78.931)
Epoch: [60][7730/14090]	Time 0.861 (0.768)	Data 0.001 (0.002)	Loss 1.8360 (1.9903)	Prec@1 55.469 (48.871)	Prec@5 81.250 (78.932)
Epoch: [60][7740/14090]	Time 0.726 (0.768)	Data 0.001 (0.002)	Loss 1.7602 (1.9902)	Prec@1 53.125 (48.875)	Prec@5 83.594 (78.933)
Epoch: [60][7750/14090]	Time 0.755 (0.768)	Data 0.001 (0.002)	Loss 1.9663 (1.9902)	Prec@1 50.781 (48.875)	Prec@5 82.031 (78.932)
Epoch: [60][7760/14090]	Time 0.734 (0.768)	Data 0.001 (0.002)	Loss 2.0239 (1.9903)	Prec@1 50.781 (48.872)	Prec@5 73.438 (78.930)
Epoch: [60][7770/14090]	Time 0.763 (0.768)	Data 0.001 (0.002)	Loss 2.1701 (1.9904)	Prec@1 41.406 (48.869)	Prec@5 72.656 (78.928)
Epoch: [60][7780/14090]	Time 0.741 (0.768)	Data 0.001 (0.002)	Loss 2.0341 (1.9902)	Prec@1 46.094 (48.872)	Prec@5 82.031 (78.930)
Epoch: [60][7790/14090]	Time 0.718 (0.768)	Data 0.001 (0.002)	Loss 2.0130 (1.9901)	Prec@1 46.875 (48.874)	Prec@5 79.688 (78.933)
Epoch: [60][7800/14090]	Time 0.873 (0.768)	Data 0.001 (0.002)	Loss 1.5920 (1.9901)	Prec@1 57.812 (48.876)	Prec@5 85.938 (78.933)
Epoch: [60][7810/14090]	Time 0.738 (0.768)	Data 0.001 (0.002)	Loss 1.9684 (1.9902)	Prec@1 50.000 (48.873)	Prec@5 81.250 (78.931)
Epoch: [60][7820/14090]	Time 0.754 (0.768)	Data 0.001 (0.002)	Loss 2.0080 (1.9902)	Prec@1 45.312 (48.873)	Prec@5 79.688 (78.932)
Epoch: [60][7830/14090]	Time 0.738 (0.768)	Data 0.001 (0.002)	Loss 2.0451 (1.9901)	Prec@1 44.531 (48.873)	Prec@5 76.562 (78.933)
Epoch: [60][7840/14090]	Time 0.735 (0.768)	Data 0.001 (0.002)	Loss 1.8934 (1.9899)	Prec@1 50.781 (48.877)	Prec@5 79.688 (78.936)
Epoch: [60][7850/14090]	Time 0.730 (0.768)	Data 0.001 (0.002)	Loss 1.8400 (1.9898)	Prec@1 53.125 (48.880)	Prec@5 79.688 (78.937)
Epoch: [60][7860/14090]	Time 0.733 (0.768)	Data 0.001 (0.002)	Loss 2.2934 (1.9898)	Prec@1 42.969 (48.879)	Prec@5 72.656 (78.935)
Epoch: [60][7870/14090]	Time 0.877 (0.768)	Data 0.001 (0.002)	Loss 2.0010 (1.9897)	Prec@1 46.875 (48.881)	Prec@5 78.125 (78.938)
Epoch: [60][7880/14090]	Time 0.734 (0.768)	Data 0.001 (0.002)	Loss 1.8480 (1.9897)	Prec@1 49.219 (48.883)	Prec@5 79.688 (78.939)
Epoch: [60][7890/14090]	Time 0.734 (0.768)	Data 0.002 (0.002)	Loss 1.7323 (1.9896)	Prec@1 55.469 (48.886)	Prec@5 85.156 (78.940)
Epoch: [60][7900/14090]	Time 0.738 (0.768)	Data 0.001 (0.002)	Loss 2.0483 (1.9896)	Prec@1 44.531 (48.887)	Prec@5 74.219 (78.939)
Epoch: [60][7910/14090]	Time 0.746 (0.768)	Data 0.001 (0.002)	Loss 2.1004 (1.9896)	Prec@1 44.531 (48.886)	Prec@5 76.562 (78.939)
Epoch: [60][7920/14090]	Time 0.758 (0.768)	Data 0.001 (0.002)	Loss 1.9935 (1.9895)	Prec@1 53.906 (48.891)	Prec@5 79.688 (78.942)
Epoch: [60][7930/14090]	Time 0.749 (0.768)	Data 0.001 (0.002)	Loss 1.9414 (1.9895)	Prec@1 46.875 (48.888)	Prec@5 80.469 (78.942)
Epoch: [60][7940/14090]	Time 0.869 (0.768)	Data 0.001 (0.002)	Loss 1.8394 (1.9895)	Prec@1 48.438 (48.888)	Prec@5 80.469 (78.941)
Epoch: [60][7950/14090]	Time 0.773 (0.768)	Data 0.001 (0.002)	Loss 1.7781 (1.9894)	Prec@1 52.344 (48.888)	Prec@5 84.375 (78.942)
Epoch: [60][7960/14090]	Time 0.739 (0.768)	Data 0.001 (0.002)	Loss 1.9750 (1.9894)	Prec@1 44.531 (48.889)	Prec@5 83.594 (78.944)
Epoch: [60][7970/14090]	Time 0.739 (0.768)	Data 0.001 (0.002)	Loss 2.1519 (1.9894)	Prec@1 46.875 (48.888)	Prec@5 75.000 (78.944)
Epoch: [60][7980/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 1.9836 (1.9893)	Prec@1 50.781 (48.892)	Prec@5 78.125 (78.947)
Epoch: [60][7990/14090]	Time 0.748 (0.768)	Data 0.001 (0.002)	Loss 2.0582 (1.9892)	Prec@1 46.094 (48.893)	Prec@5 72.656 (78.947)
Epoch: [60][8000/14090]	Time 0.748 (0.768)	Data 0.001 (0.002)	Loss 1.7597 (1.9891)	Prec@1 54.688 (48.893)	Prec@5 80.469 (78.948)
Epoch: [60][8010/14090]	Time 0.861 (0.768)	Data 0.001 (0.002)	Loss 1.7407 (1.9890)	Prec@1 51.562 (48.894)	Prec@5 82.031 (78.950)
Epoch: [60][8020/14090]	Time 0.756 (0.768)	Data 0.001 (0.002)	Loss 1.7274 (1.9890)	Prec@1 60.938 (48.893)	Prec@5 82.031 (78.949)
Epoch: [60][8030/14090]	Time 0.758 (0.768)	Data 0.001 (0.002)	Loss 1.9591 (1.9889)	Prec@1 50.781 (48.895)	Prec@5 78.906 (78.952)
Epoch: [60][8040/14090]	Time 0.728 (0.768)	Data 0.001 (0.002)	Loss 1.9506 (1.9890)	Prec@1 49.219 (48.895)	Prec@5 81.250 (78.950)
Epoch: [60][8050/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 2.0985 (1.9890)	Prec@1 39.844 (48.892)	Prec@5 82.812 (78.949)
Epoch: [60][8060/14090]	Time 0.743 (0.768)	Data 0.001 (0.002)	Loss 1.8892 (1.9890)	Prec@1 51.562 (48.892)	Prec@5 79.688 (78.949)
Epoch: [60][8070/14090]	Time 0.746 (0.768)	Data 0.001 (0.002)	Loss 1.9392 (1.9889)	Prec@1 47.656 (48.892)	Prec@5 80.469 (78.949)
Epoch: [60][8080/14090]	Time 0.840 (0.768)	Data 0.001 (0.002)	Loss 2.2143 (1.9888)	Prec@1 42.188 (48.895)	Prec@5 72.656 (78.950)
Epoch: [60][8090/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 1.9434 (1.9888)	Prec@1 49.219 (48.895)	Prec@5 76.562 (78.949)
Epoch: [60][8100/14090]	Time 0.735 (0.768)	Data 0.001 (0.002)	Loss 2.1948 (1.9888)	Prec@1 46.094 (48.894)	Prec@5 71.875 (78.949)
Epoch: [60][8110/14090]	Time 0.780 (0.768)	Data 0.001 (0.002)	Loss 1.9684 (1.9888)	Prec@1 48.438 (48.893)	Prec@5 75.000 (78.948)
Epoch: [60][8120/14090]	Time 0.782 (0.768)	Data 0.001 (0.002)	Loss 1.8962 (1.9887)	Prec@1 52.344 (48.893)	Prec@5 78.906 (78.949)
Epoch: [60][8130/14090]	Time 0.765 (0.768)	Data 0.001 (0.002)	Loss 1.9841 (1.9887)	Prec@1 50.781 (48.895)	Prec@5 79.688 (78.949)
Epoch: [60][8140/14090]	Time 0.756 (0.768)	Data 0.001 (0.002)	Loss 1.8071 (1.9887)	Prec@1 48.438 (48.897)	Prec@5 80.469 (78.948)
Epoch: [60][8150/14090]	Time 0.842 (0.768)	Data 0.001 (0.002)	Loss 2.0081 (1.9887)	Prec@1 48.438 (48.895)	Prec@5 78.906 (78.947)
Epoch: [60][8160/14090]	Time 0.757 (0.768)	Data 0.001 (0.002)	Loss 1.8931 (1.9885)	Prec@1 52.344 (48.897)	Prec@5 80.469 (78.950)
Epoch: [60][8170/14090]	Time 0.738 (0.768)	Data 0.001 (0.002)	Loss 2.0772 (1.9887)	Prec@1 42.969 (48.896)	Prec@5 82.031 (78.949)
Epoch: [60][8180/14090]	Time 0.752 (0.768)	Data 0.001 (0.002)	Loss 2.1308 (1.9887)	Prec@1 46.875 (48.896)	Prec@5 78.125 (78.949)
Epoch: [60][8190/14090]	Time 0.757 (0.768)	Data 0.001 (0.002)	Loss 2.2409 (1.9886)	Prec@1 44.531 (48.896)	Prec@5 74.219 (78.949)
Epoch: [60][8200/14090]	Time 0.735 (0.768)	Data 0.001 (0.002)	Loss 1.8512 (1.9886)	Prec@1 55.469 (48.897)	Prec@5 82.031 (78.949)
Epoch: [60][8210/14090]	Time 0.735 (0.768)	Data 0.001 (0.002)	Loss 1.8190 (1.9885)	Prec@1 50.000 (48.900)	Prec@5 82.031 (78.951)
Epoch: [60][8220/14090]	Time 0.895 (0.768)	Data 0.001 (0.002)	Loss 2.1175 (1.9884)	Prec@1 48.438 (48.900)	Prec@5 78.906 (78.952)
Epoch: [60][8230/14090]	Time 0.723 (0.768)	Data 0.001 (0.002)	Loss 1.8900 (1.9884)	Prec@1 49.219 (48.900)	Prec@5 80.469 (78.952)
Epoch: [60][8240/14090]	Time 0.748 (0.768)	Data 0.001 (0.002)	Loss 1.9042 (1.9884)	Prec@1 50.000 (48.899)	Prec@5 82.812 (78.952)
Epoch: [60][8250/14090]	Time 0.758 (0.768)	Data 0.001 (0.002)	Loss 1.7231 (1.9883)	Prec@1 52.344 (48.900)	Prec@5 83.594 (78.952)
Epoch: [60][8260/14090]	Time 0.741 (0.768)	Data 0.001 (0.002)	Loss 1.8633 (1.9882)	Prec@1 47.656 (48.903)	Prec@5 78.125 (78.953)
Epoch: [60][8270/14090]	Time 0.743 (0.768)	Data 0.001 (0.002)	Loss 2.0854 (1.9882)	Prec@1 50.000 (48.905)	Prec@5 77.344 (78.953)
Epoch: [60][8280/14090]	Time 0.761 (0.768)	Data 0.001 (0.002)	Loss 1.8331 (1.9882)	Prec@1 53.906 (48.906)	Prec@5 82.031 (78.952)
Epoch: [60][8290/14090]	Time 0.904 (0.768)	Data 0.001 (0.002)	Loss 2.0027 (1.9883)	Prec@1 43.750 (48.905)	Prec@5 80.469 (78.950)
Epoch: [60][8300/14090]	Time 0.745 (0.768)	Data 0.001 (0.002)	Loss 1.9531 (1.9882)	Prec@1 45.312 (48.907)	Prec@5 82.812 (78.953)
Epoch: [60][8310/14090]	Time 0.734 (0.768)	Data 0.001 (0.002)	Loss 1.8888 (1.9881)	Prec@1 46.875 (48.907)	Prec@5 82.031 (78.953)
Epoch: [60][8320/14090]	Time 0.779 (0.768)	Data 0.001 (0.002)	Loss 1.9404 (1.9881)	Prec@1 51.562 (48.908)	Prec@5 82.812 (78.953)
Epoch: [60][8330/14090]	Time 0.769 (0.767)	Data 0.001 (0.002)	Loss 1.8341 (1.9882)	Prec@1 50.000 (48.906)	Prec@5 82.812 (78.953)
Epoch: [60][8340/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 2.1522 (1.9881)	Prec@1 45.312 (48.906)	Prec@5 76.562 (78.953)
Epoch: [60][8350/14090]	Time 0.762 (0.767)	Data 0.001 (0.002)	Loss 1.8981 (1.9880)	Prec@1 45.312 (48.908)	Prec@5 82.812 (78.954)
Epoch: [60][8360/14090]	Time 0.851 (0.767)	Data 0.001 (0.002)	Loss 1.9211 (1.9880)	Prec@1 56.250 (48.910)	Prec@5 79.688 (78.955)
Epoch: [60][8370/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 2.0919 (1.9880)	Prec@1 39.844 (48.908)	Prec@5 75.000 (78.952)
Epoch: [60][8380/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 1.8948 (1.9879)	Prec@1 50.781 (48.912)	Prec@5 76.562 (78.953)
Epoch: [60][8390/14090]	Time 0.767 (0.767)	Data 0.001 (0.002)	Loss 1.9140 (1.9879)	Prec@1 48.438 (48.913)	Prec@5 81.250 (78.956)
Epoch: [60][8400/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 1.9430 (1.9879)	Prec@1 49.219 (48.913)	Prec@5 79.688 (78.955)
Epoch: [60][8410/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 1.7526 (1.9878)	Prec@1 56.250 (48.916)	Prec@5 82.812 (78.956)
Epoch: [60][8420/14090]	Time 0.726 (0.767)	Data 0.001 (0.002)	Loss 1.8377 (1.9877)	Prec@1 55.469 (48.918)	Prec@5 82.031 (78.956)
Epoch: [60][8430/14090]	Time 0.859 (0.767)	Data 0.001 (0.002)	Loss 1.8750 (1.9877)	Prec@1 54.688 (48.920)	Prec@5 85.156 (78.958)
Epoch: [60][8440/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 2.0647 (1.9877)	Prec@1 46.094 (48.921)	Prec@5 75.781 (78.958)
Epoch: [60][8450/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 2.1332 (1.9877)	Prec@1 50.781 (48.920)	Prec@5 71.875 (78.958)
Epoch: [60][8460/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 1.9746 (1.9876)	Prec@1 47.656 (48.922)	Prec@5 80.469 (78.961)
Epoch: [60][8470/14090]	Time 0.794 (0.767)	Data 0.001 (0.002)	Loss 2.0431 (1.9875)	Prec@1 47.656 (48.923)	Prec@5 81.250 (78.963)
Epoch: [60][8480/14090]	Time 0.726 (0.767)	Data 0.001 (0.002)	Loss 1.7219 (1.9875)	Prec@1 52.344 (48.922)	Prec@5 80.469 (78.965)
Epoch: [60][8490/14090]	Time 0.774 (0.767)	Data 0.001 (0.002)	Loss 1.6020 (1.9874)	Prec@1 60.156 (48.927)	Prec@5 82.812 (78.967)
Epoch: [60][8500/14090]	Time 0.848 (0.767)	Data 0.001 (0.002)	Loss 1.8348 (1.9873)	Prec@1 51.562 (48.929)	Prec@5 82.812 (78.968)
Epoch: [60][8510/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 1.9543 (1.9873)	Prec@1 50.000 (48.926)	Prec@5 78.906 (78.967)
Epoch: [60][8520/14090]	Time 0.728 (0.767)	Data 0.001 (0.002)	Loss 1.8443 (1.9873)	Prec@1 54.688 (48.928)	Prec@5 78.906 (78.968)
Epoch: [60][8530/14090]	Time 0.763 (0.767)	Data 0.001 (0.002)	Loss 1.9692 (1.9873)	Prec@1 49.219 (48.930)	Prec@5 81.250 (78.969)
Epoch: [60][8540/14090]	Time 0.766 (0.767)	Data 0.001 (0.002)	Loss 1.9355 (1.9872)	Prec@1 53.906 (48.932)	Prec@5 75.000 (78.971)
Epoch: [60][8550/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 2.0508 (1.9871)	Prec@1 53.125 (48.934)	Prec@5 79.688 (78.972)
Epoch: [60][8560/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 2.0077 (1.9871)	Prec@1 47.656 (48.936)	Prec@5 80.469 (78.972)
Epoch: [60][8570/14090]	Time 0.894 (0.767)	Data 0.001 (0.002)	Loss 1.9159 (1.9870)	Prec@1 44.531 (48.937)	Prec@5 83.594 (78.974)
Epoch: [60][8580/14090]	Time 0.766 (0.767)	Data 0.001 (0.002)	Loss 2.2697 (1.9870)	Prec@1 47.656 (48.938)	Prec@5 73.438 (78.975)
Epoch: [60][8590/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 1.9448 (1.9869)	Prec@1 47.656 (48.939)	Prec@5 78.125 (78.977)
Epoch: [60][8600/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.1884 (1.9869)	Prec@1 49.219 (48.940)	Prec@5 77.344 (78.974)
Epoch: [60][8610/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 1.7877 (1.9869)	Prec@1 52.344 (48.939)	Prec@5 84.375 (78.976)
Epoch: [60][8620/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 2.2379 (1.9869)	Prec@1 44.531 (48.937)	Prec@5 73.438 (78.975)
Epoch: [60][8630/14090]	Time 0.782 (0.767)	Data 0.001 (0.001)	Loss 1.7040 (1.9868)	Prec@1 52.344 (48.940)	Prec@5 83.594 (78.978)
Epoch: [60][8640/14090]	Time 0.853 (0.767)	Data 0.001 (0.001)	Loss 1.5538 (1.9867)	Prec@1 60.156 (48.940)	Prec@5 85.156 (78.979)
Epoch: [60][8650/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 2.0450 (1.9867)	Prec@1 46.094 (48.939)	Prec@5 78.906 (78.978)
Epoch: [60][8660/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 2.0421 (1.9866)	Prec@1 43.750 (48.942)	Prec@5 75.781 (78.979)
Epoch: [60][8670/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 1.8720 (1.9865)	Prec@1 53.125 (48.944)	Prec@5 82.031 (78.982)
Epoch: [60][8680/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 2.1773 (1.9865)	Prec@1 42.188 (48.943)	Prec@5 75.781 (78.982)
Epoch: [60][8690/14090]	Time 0.775 (0.767)	Data 0.001 (0.001)	Loss 1.8780 (1.9865)	Prec@1 47.656 (48.945)	Prec@5 82.031 (78.982)
Epoch: [60][8700/14090]	Time 0.785 (0.767)	Data 0.001 (0.001)	Loss 1.9685 (1.9865)	Prec@1 45.312 (48.945)	Prec@5 76.562 (78.982)
Epoch: [60][8710/14090]	Time 0.875 (0.767)	Data 0.001 (0.001)	Loss 1.9988 (1.9864)	Prec@1 44.531 (48.946)	Prec@5 84.375 (78.984)
Epoch: [60][8720/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 1.6521 (1.9863)	Prec@1 56.250 (48.947)	Prec@5 84.375 (78.984)
Epoch: [60][8730/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 1.6131 (1.9863)	Prec@1 53.906 (48.948)	Prec@5 84.375 (78.984)
Epoch: [60][8740/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 1.9331 (1.9863)	Prec@1 49.219 (48.948)	Prec@5 78.906 (78.984)
Epoch: [60][8750/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 2.1207 (1.9863)	Prec@1 50.781 (48.949)	Prec@5 75.781 (78.983)
Epoch: [60][8760/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 1.9117 (1.9863)	Prec@1 42.188 (48.949)	Prec@5 79.688 (78.984)
Epoch: [60][8770/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 1.6890 (1.9862)	Prec@1 56.250 (48.948)	Prec@5 83.594 (78.984)
Epoch: [60][8780/14090]	Time 0.901 (0.767)	Data 0.001 (0.001)	Loss 2.0610 (1.9862)	Prec@1 47.656 (48.948)	Prec@5 76.562 (78.983)
Epoch: [60][8790/14090]	Time 0.785 (0.767)	Data 0.001 (0.001)	Loss 1.7495 (1.9861)	Prec@1 46.094 (48.950)	Prec@5 81.250 (78.985)
Epoch: [60][8800/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 2.2005 (1.9861)	Prec@1 46.875 (48.951)	Prec@5 75.781 (78.985)
Epoch: [60][8810/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 1.6870 (1.9861)	Prec@1 53.906 (48.952)	Prec@5 85.156 (78.987)
Epoch: [60][8820/14090]	Time 0.776 (0.767)	Data 0.001 (0.001)	Loss 2.0013 (1.9860)	Prec@1 49.219 (48.954)	Prec@5 82.031 (78.988)
Epoch: [60][8830/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 1.9279 (1.9859)	Prec@1 47.656 (48.955)	Prec@5 82.812 (78.992)
Epoch: [60][8840/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 2.1744 (1.9859)	Prec@1 46.875 (48.955)	Prec@5 73.438 (78.991)
Epoch: [60][8850/14090]	Time 0.882 (0.767)	Data 0.001 (0.001)	Loss 1.9135 (1.9859)	Prec@1 47.656 (48.954)	Prec@5 78.906 (78.991)
Epoch: [60][8860/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 2.0853 (1.9857)	Prec@1 46.875 (48.957)	Prec@5 77.344 (78.995)
Epoch: [60][8870/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.0463 (1.9857)	Prec@1 41.406 (48.957)	Prec@5 78.125 (78.995)
Epoch: [60][8880/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 1.9130 (1.9858)	Prec@1 49.219 (48.955)	Prec@5 79.688 (78.992)
Epoch: [60][8890/14090]	Time 0.781 (0.767)	Data 0.001 (0.001)	Loss 1.9739 (1.9857)	Prec@1 51.562 (48.956)	Prec@5 78.125 (78.993)
Epoch: [60][8900/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 1.7747 (1.9857)	Prec@1 54.688 (48.957)	Prec@5 79.688 (78.992)
Epoch: [60][8910/14090]	Time 0.776 (0.767)	Data 0.001 (0.001)	Loss 1.9546 (1.9856)	Prec@1 46.875 (48.959)	Prec@5 81.250 (78.993)
Epoch: [60][8920/14090]	Time 0.817 (0.767)	Data 0.001 (0.001)	Loss 1.9742 (1.9856)	Prec@1 46.875 (48.960)	Prec@5 76.562 (78.994)
Epoch: [60][8930/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.1314 (1.9856)	Prec@1 45.312 (48.959)	Prec@5 76.562 (78.994)
Epoch: [60][8940/14090]	Time 0.777 (0.767)	Data 0.001 (0.001)	Loss 1.8560 (1.9855)	Prec@1 51.562 (48.960)	Prec@5 82.812 (78.996)
Epoch: [60][8950/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 2.0198 (1.9856)	Prec@1 47.656 (48.960)	Prec@5 75.781 (78.995)
Epoch: [60][8960/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 1.8019 (1.9856)	Prec@1 52.344 (48.960)	Prec@5 82.031 (78.995)
Epoch: [60][8970/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 2.1832 (1.9856)	Prec@1 47.656 (48.960)	Prec@5 75.000 (78.994)
Epoch: [60][8980/14090]	Time 0.768 (0.767)	Data 0.001 (0.001)	Loss 1.8211 (1.9855)	Prec@1 50.000 (48.962)	Prec@5 81.250 (78.996)
Epoch: [60][8990/14090]	Time 0.879 (0.767)	Data 0.001 (0.001)	Loss 2.0426 (1.9855)	Prec@1 48.438 (48.960)	Prec@5 78.906 (78.997)
Epoch: [60][9000/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 1.9470 (1.9854)	Prec@1 50.781 (48.964)	Prec@5 83.594 (78.999)
Epoch: [60][9010/14090]	Time 0.726 (0.767)	Data 0.001 (0.001)	Loss 1.7160 (1.9854)	Prec@1 52.344 (48.963)	Prec@5 82.812 (78.999)
Epoch: [60][9020/14090]	Time 0.758 (0.767)	Data 0.002 (0.001)	Loss 1.8883 (1.9854)	Prec@1 54.688 (48.964)	Prec@5 79.688 (78.999)
Epoch: [60][9030/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 1.8182 (1.9854)	Prec@1 57.031 (48.966)	Prec@5 78.125 (78.999)
Epoch: [60][9040/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 1.7818 (1.9853)	Prec@1 50.000 (48.967)	Prec@5 85.156 (79.001)
Epoch: [60][9050/14090]	Time 0.727 (0.767)	Data 0.002 (0.001)	Loss 2.0516 (1.9852)	Prec@1 46.875 (48.967)	Prec@5 78.906 (79.003)
Epoch: [60][9060/14090]	Time 0.870 (0.767)	Data 0.001 (0.001)	Loss 2.0609 (1.9852)	Prec@1 43.750 (48.965)	Prec@5 78.906 (79.002)
Epoch: [60][9070/14090]	Time 0.725 (0.767)	Data 0.001 (0.001)	Loss 1.9029 (1.9851)	Prec@1 50.781 (48.968)	Prec@5 82.812 (79.004)
Epoch: [60][9080/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 1.9376 (1.9852)	Prec@1 50.000 (48.969)	Prec@5 78.906 (79.003)
Epoch: [60][9090/14090]	Time 0.770 (0.767)	Data 0.001 (0.001)	Loss 1.9245 (1.9852)	Prec@1 54.688 (48.969)	Prec@5 74.219 (79.002)
Epoch: [60][9100/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 1.6964 (1.9851)	Prec@1 58.594 (48.972)	Prec@5 82.031 (79.003)
Epoch: [60][9110/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 2.0608 (1.9851)	Prec@1 49.219 (48.974)	Prec@5 75.000 (79.003)
Epoch: [60][9120/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 2.0200 (1.9849)	Prec@1 41.406 (48.976)	Prec@5 78.125 (79.006)
Epoch: [60][9130/14090]	Time 0.837 (0.767)	Data 0.001 (0.001)	Loss 2.0068 (1.9849)	Prec@1 47.656 (48.974)	Prec@5 78.906 (79.006)
Epoch: [60][9140/14090]	Time 0.764 (0.767)	Data 0.001 (0.001)	Loss 2.2032 (1.9849)	Prec@1 46.875 (48.974)	Prec@5 74.219 (79.007)
Epoch: [60][9150/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 1.9980 (1.9850)	Prec@1 53.906 (48.974)	Prec@5 82.812 (79.007)
Epoch: [60][9160/14090]	Time 0.800 (0.767)	Data 0.001 (0.001)	Loss 1.6376 (1.9849)	Prec@1 53.906 (48.977)	Prec@5 85.156 (79.010)
Epoch: [60][9170/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 2.0876 (1.9850)	Prec@1 50.781 (48.974)	Prec@5 80.469 (79.008)
Epoch: [60][9180/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.0168 (1.9850)	Prec@1 47.656 (48.973)	Prec@5 75.000 (79.007)
Epoch: [60][9190/14090]	Time 0.743 (0.767)	Data 0.002 (0.001)	Loss 2.0393 (1.9849)	Prec@1 50.000 (48.977)	Prec@5 77.344 (79.008)
Epoch: [60][9200/14090]	Time 0.847 (0.767)	Data 0.001 (0.001)	Loss 2.1286 (1.9849)	Prec@1 51.562 (48.978)	Prec@5 73.438 (79.008)
Epoch: [60][9210/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 2.2497 (1.9849)	Prec@1 46.875 (48.978)	Prec@5 75.000 (79.008)
Epoch: [60][9220/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 1.8457 (1.9849)	Prec@1 53.125 (48.977)	Prec@5 79.688 (79.008)
Epoch: [60][9230/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 2.0229 (1.9849)	Prec@1 42.969 (48.978)	Prec@5 79.688 (79.010)
Epoch: [60][9240/14090]	Time 0.775 (0.767)	Data 0.001 (0.001)	Loss 2.0809 (1.9849)	Prec@1 42.188 (48.977)	Prec@5 78.906 (79.009)
Epoch: [60][9250/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 2.1353 (1.9849)	Prec@1 43.750 (48.977)	Prec@5 74.219 (79.008)
Epoch: [60][9260/14090]	Time 0.777 (0.767)	Data 0.001 (0.001)	Loss 1.8737 (1.9849)	Prec@1 53.125 (48.979)	Prec@5 81.250 (79.007)
Epoch: [60][9270/14090]	Time 0.879 (0.767)	Data 0.001 (0.001)	Loss 2.0204 (1.9850)	Prec@1 39.062 (48.973)	Prec@5 82.812 (79.007)
Epoch: [60][9280/14090]	Time 0.775 (0.767)	Data 0.001 (0.001)	Loss 2.3270 (1.9850)	Prec@1 39.844 (48.972)	Prec@5 72.656 (79.006)
Epoch: [60][9290/14090]	Time 0.771 (0.767)	Data 0.001 (0.001)	Loss 1.7638 (1.9850)	Prec@1 58.594 (48.973)	Prec@5 80.469 (79.007)
Epoch: [60][9300/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 1.9808 (1.9849)	Prec@1 47.656 (48.975)	Prec@5 75.000 (79.007)
Epoch: [60][9310/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 2.3410 (1.9849)	Prec@1 42.188 (48.975)	Prec@5 74.219 (79.007)
Epoch: [60][9320/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 1.8558 (1.9849)	Prec@1 51.562 (48.975)	Prec@5 77.344 (79.007)
Epoch: [60][9330/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 1.9316 (1.9848)	Prec@1 50.781 (48.976)	Prec@5 79.688 (79.008)
Epoch: [60][9340/14090]	Time 0.827 (0.767)	Data 0.001 (0.001)	Loss 2.0198 (1.9848)	Prec@1 39.062 (48.973)	Prec@5 83.594 (79.008)
Epoch: [60][9350/14090]	Time 0.776 (0.767)	Data 0.001 (0.001)	Loss 1.9924 (1.9848)	Prec@1 49.219 (48.972)	Prec@5 79.688 (79.009)
Epoch: [60][9360/14090]	Time 0.764 (0.767)	Data 0.001 (0.001)	Loss 2.1202 (1.9849)	Prec@1 46.094 (48.971)	Prec@5 74.219 (79.009)
Epoch: [60][9370/14090]	Time 0.779 (0.767)	Data 0.001 (0.001)	Loss 1.7883 (1.9849)	Prec@1 53.125 (48.971)	Prec@5 78.906 (79.009)
Epoch: [60][9380/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 1.8196 (1.9848)	Prec@1 49.219 (48.971)	Prec@5 83.594 (79.010)
Epoch: [60][9390/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 1.8090 (1.9848)	Prec@1 50.000 (48.973)	Prec@5 82.031 (79.009)
Epoch: [60][9400/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 1.8601 (1.9848)	Prec@1 54.688 (48.972)	Prec@5 79.688 (79.008)
Epoch: [60][9410/14090]	Time 0.840 (0.767)	Data 0.001 (0.001)	Loss 2.1279 (1.9848)	Prec@1 51.562 (48.972)	Prec@5 74.219 (79.008)
Epoch: [60][9420/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 1.9246 (1.9847)	Prec@1 46.875 (48.974)	Prec@5 84.375 (79.010)
Epoch: [60][9430/14090]	Time 0.723 (0.767)	Data 0.002 (0.001)	Loss 1.7161 (1.9846)	Prec@1 59.375 (48.977)	Prec@5 85.156 (79.012)
Epoch: [60][9440/14090]	Time 0.768 (0.767)	Data 0.001 (0.001)	Loss 2.4675 (1.9845)	Prec@1 39.844 (48.978)	Prec@5 67.188 (79.014)
Epoch: [60][9450/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.0829 (1.9844)	Prec@1 46.875 (48.980)	Prec@5 76.562 (79.015)
Epoch: [60][9460/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 2.1163 (1.9844)	Prec@1 43.750 (48.981)	Prec@5 82.031 (79.015)
Epoch: [60][9470/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 2.0069 (1.9844)	Prec@1 43.750 (48.981)	Prec@5 77.344 (79.015)
Epoch: [60][9480/14090]	Time 0.825 (0.767)	Data 0.001 (0.001)	Loss 1.9607 (1.9845)	Prec@1 49.219 (48.980)	Prec@5 81.250 (79.015)
Epoch: [60][9490/14090]	Time 0.726 (0.767)	Data 0.001 (0.001)	Loss 2.0492 (1.9845)	Prec@1 44.531 (48.979)	Prec@5 80.469 (79.013)
Epoch: [60][9500/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.0760 (1.9845)	Prec@1 45.312 (48.979)	Prec@5 78.125 (79.013)
Epoch: [60][9510/14090]	Time 0.784 (0.767)	Data 0.001 (0.001)	Loss 1.7637 (1.9844)	Prec@1 54.688 (48.979)	Prec@5 82.031 (79.013)
Epoch: [60][9520/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 1.9465 (1.9845)	Prec@1 50.000 (48.979)	Prec@5 81.250 (79.014)
Epoch: [60][9530/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 1.7884 (1.9845)	Prec@1 54.688 (48.978)	Prec@5 84.375 (79.015)
Epoch: [60][9540/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 2.1259 (1.9845)	Prec@1 51.562 (48.978)	Prec@5 76.562 (79.015)
Epoch: [60][9550/14090]	Time 0.832 (0.767)	Data 0.001 (0.001)	Loss 1.7185 (1.9844)	Prec@1 48.438 (48.979)	Prec@5 81.250 (79.015)
Epoch: [60][9560/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 2.2298 (1.9844)	Prec@1 43.750 (48.980)	Prec@5 75.000 (79.016)
Epoch: [60][9570/14090]	Time 0.723 (0.767)	Data 0.001 (0.001)	Loss 2.2177 (1.9844)	Prec@1 42.188 (48.978)	Prec@5 72.656 (79.017)
Epoch: [60][9580/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 1.8760 (1.9843)	Prec@1 57.812 (48.980)	Prec@5 75.781 (79.018)
Epoch: [60][9590/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 1.9325 (1.9842)	Prec@1 52.344 (48.983)	Prec@5 81.250 (79.021)
Epoch: [60][9600/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 1.9579 (1.9842)	Prec@1 42.188 (48.983)	Prec@5 79.688 (79.020)
Epoch: [60][9610/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 2.1683 (1.9842)	Prec@1 52.344 (48.984)	Prec@5 71.875 (79.021)
Epoch: [60][9620/14090]	Time 0.871 (0.767)	Data 0.001 (0.001)	Loss 1.9313 (1.9842)	Prec@1 54.688 (48.983)	Prec@5 81.250 (79.019)
Epoch: [60][9630/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 1.9801 (1.9843)	Prec@1 51.562 (48.981)	Prec@5 75.781 (79.018)
Epoch: [60][9640/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 1.9211 (1.9842)	Prec@1 53.125 (48.981)	Prec@5 83.594 (79.019)
Epoch: [60][9650/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 2.0517 (1.9843)	Prec@1 51.562 (48.980)	Prec@5 78.125 (79.018)
Epoch: [60][9660/14090]	Time 0.768 (0.767)	Data 0.001 (0.001)	Loss 2.0544 (1.9843)	Prec@1 49.219 (48.981)	Prec@5 76.562 (79.017)
Epoch: [60][9670/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 1.9654 (1.9844)	Prec@1 52.344 (48.979)	Prec@5 80.469 (79.016)
Epoch: [60][9680/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 2.0741 (1.9844)	Prec@1 50.000 (48.981)	Prec@5 74.219 (79.015)
Epoch: [60][9690/14090]	Time 0.913 (0.767)	Data 0.002 (0.001)	Loss 2.0387 (1.9844)	Prec@1 49.219 (48.982)	Prec@5 78.125 (79.016)
Epoch: [60][9700/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 1.6584 (1.9844)	Prec@1 60.156 (48.983)	Prec@5 85.938 (79.014)
Epoch: [60][9710/14090]	Time 0.718 (0.767)	Data 0.001 (0.001)	Loss 2.1981 (1.9843)	Prec@1 46.094 (48.984)	Prec@5 77.344 (79.016)
Epoch: [60][9720/14090]	Time 0.790 (0.767)	Data 0.001 (0.001)	Loss 1.6245 (1.9843)	Prec@1 53.906 (48.985)	Prec@5 87.500 (79.016)
Epoch: [60][9730/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 1.7903 (1.9842)	Prec@1 53.906 (48.985)	Prec@5 80.469 (79.017)
Epoch: [60][9740/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 1.6399 (1.9841)	Prec@1 60.156 (48.987)	Prec@5 82.812 (79.019)
Epoch: [60][9750/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 1.7253 (1.9840)	Prec@1 55.469 (48.989)	Prec@5 85.938 (79.022)
Epoch: [60][9760/14090]	Time 0.872 (0.767)	Data 0.003 (0.001)	Loss 1.9461 (1.9839)	Prec@1 49.219 (48.991)	Prec@5 80.469 (79.023)
Epoch: [60][9770/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 1.8930 (1.9838)	Prec@1 53.906 (48.994)	Prec@5 81.250 (79.023)
Epoch: [60][9780/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 2.0585 (1.9839)	Prec@1 49.219 (48.993)	Prec@5 76.562 (79.022)
Epoch: [60][9790/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 1.7179 (1.9838)	Prec@1 54.688 (48.994)	Prec@5 82.031 (79.025)
Epoch: [60][9800/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 1.7887 (1.9836)	Prec@1 52.344 (48.998)	Prec@5 82.031 (79.027)
Epoch: [60][9810/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 1.9575 (1.9836)	Prec@1 50.781 (48.999)	Prec@5 78.125 (79.027)
Epoch: [60][9820/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 1.9880 (1.9836)	Prec@1 49.219 (48.999)	Prec@5 79.688 (79.027)
Epoch: [60][9830/14090]	Time 0.843 (0.767)	Data 0.001 (0.001)	Loss 1.9261 (1.9835)	Prec@1 50.000 (49.000)	Prec@5 77.344 (79.029)
Epoch: [60][9840/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 2.0556 (1.9835)	Prec@1 51.562 (49.002)	Prec@5 76.562 (79.030)
Epoch: [60][9850/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 2.0699 (1.9834)	Prec@1 47.656 (49.003)	Prec@5 75.781 (79.030)
Epoch: [60][9860/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 1.9662 (1.9833)	Prec@1 47.656 (49.005)	Prec@5 81.250 (79.029)
Epoch: [60][9870/14090]	Time 0.797 (0.767)	Data 0.001 (0.001)	Loss 1.9946 (1.9833)	Prec@1 50.781 (49.006)	Prec@5 77.344 (79.029)
Epoch: [60][9880/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 1.9053 (1.9832)	Prec@1 56.250 (49.009)	Prec@5 75.781 (79.031)
Epoch: [60][9890/14090]	Time 0.771 (0.767)	Data 0.001 (0.001)	Loss 1.9843 (1.9832)	Prec@1 44.531 (49.008)	Prec@5 82.812 (79.031)
Epoch: [60][9900/14090]	Time 0.869 (0.767)	Data 0.001 (0.001)	Loss 2.1005 (1.9832)	Prec@1 42.969 (49.010)	Prec@5 78.125 (79.032)
Epoch: [60][9910/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 2.0573 (1.9831)	Prec@1 49.219 (49.010)	Prec@5 77.344 (79.033)
Epoch: [60][9920/14090]	Time 0.780 (0.767)	Data 0.001 (0.001)	Loss 1.7919 (1.9830)	Prec@1 51.562 (49.010)	Prec@5 87.500 (79.035)
Epoch: [60][9930/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 1.5762 (1.9830)	Prec@1 64.062 (49.012)	Prec@5 80.469 (79.036)
Epoch: [60][9940/14090]	Time 0.721 (0.767)	Data 0.001 (0.001)	Loss 1.9321 (1.9829)	Prec@1 47.656 (49.012)	Prec@5 82.031 (79.038)
Epoch: [60][9950/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 1.7156 (1.9828)	Prec@1 57.031 (49.016)	Prec@5 85.156 (79.038)
Epoch: [60][9960/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 1.9717 (1.9829)	Prec@1 47.656 (49.014)	Prec@5 81.250 (79.037)
Epoch: [60][9970/14090]	Time 0.885 (0.767)	Data 0.002 (0.001)	Loss 2.0194 (1.9829)	Prec@1 46.094 (49.013)	Prec@5 76.562 (79.037)
Epoch: [60][9980/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 1.9560 (1.9830)	Prec@1 46.094 (49.012)	Prec@5 84.375 (79.036)
Epoch: [60][9990/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 1.8164 (1.9829)	Prec@1 53.125 (49.012)	Prec@5 85.156 (79.038)
Epoch: [60][10000/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 2.0884 (1.9830)	Prec@1 51.562 (49.012)	Prec@5 74.219 (79.037)
Epoch: [60][10010/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 1.9401 (1.9830)	Prec@1 49.219 (49.010)	Prec@5 80.469 (79.038)
Epoch: [60][10020/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 2.0031 (1.9829)	Prec@1 48.438 (49.011)	Prec@5 78.125 (79.039)
Epoch: [60][10030/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 1.8998 (1.9829)	Prec@1 59.375 (49.012)	Prec@5 82.812 (79.039)
Epoch: [60][10040/14090]	Time 0.870 (0.767)	Data 0.001 (0.001)	Loss 2.0526 (1.9828)	Prec@1 42.969 (49.012)	Prec@5 81.250 (79.041)
Epoch: [60][10050/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 2.4614 (1.9828)	Prec@1 39.844 (49.013)	Prec@5 68.750 (79.042)
Epoch: [60][10060/14090]	Time 0.771 (0.767)	Data 0.001 (0.001)	Loss 2.0777 (1.9826)	Prec@1 50.000 (49.016)	Prec@5 77.344 (79.043)
Epoch: [60][10070/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 1.7730 (1.9825)	Prec@1 53.906 (49.018)	Prec@5 82.812 (79.045)
Epoch: [60][10080/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 1.9372 (1.9825)	Prec@1 52.344 (49.018)	Prec@5 83.594 (79.048)
Epoch: [60][10090/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 2.1739 (1.9824)	Prec@1 40.625 (49.019)	Prec@5 80.469 (79.049)
Epoch: [60][10100/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 2.2876 (1.9824)	Prec@1 41.406 (49.019)	Prec@5 75.000 (79.049)
Epoch: [60][10110/14090]	Time 0.877 (0.767)	Data 0.001 (0.001)	Loss 1.8687 (1.9823)	Prec@1 48.438 (49.022)	Prec@5 85.156 (79.050)
Epoch: [60][10120/14090]	Time 0.765 (0.767)	Data 0.001 (0.001)	Loss 2.0112 (1.9823)	Prec@1 48.438 (49.021)	Prec@5 78.125 (79.049)
Epoch: [60][10130/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 1.9735 (1.9822)	Prec@1 46.875 (49.023)	Prec@5 82.812 (79.051)
Epoch: [60][10140/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 1.7130 (1.9822)	Prec@1 57.812 (49.023)	Prec@5 86.719 (79.052)
Epoch: [60][10150/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 1.9535 (1.9821)	Prec@1 53.125 (49.024)	Prec@5 79.688 (79.054)
Epoch: [60][10160/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 1.7816 (1.9821)	Prec@1 51.562 (49.025)	Prec@5 83.594 (79.055)
Epoch: [60][10170/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 1.8393 (1.9821)	Prec@1 50.781 (49.024)	Prec@5 82.031 (79.055)
Epoch: [60][10180/14090]	Time 0.890 (0.767)	Data 0.001 (0.001)	Loss 1.8211 (1.9820)	Prec@1 55.469 (49.026)	Prec@5 83.594 (79.056)
Epoch: [60][10190/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 1.7445 (1.9819)	Prec@1 51.562 (49.026)	Prec@5 82.031 (79.056)
Epoch: [60][10200/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 2.0641 (1.9819)	Prec@1 52.344 (49.028)	Prec@5 76.562 (79.056)
Epoch: [60][10210/14090]	Time 0.763 (0.767)	Data 0.001 (0.001)	Loss 2.2406 (1.9819)	Prec@1 46.875 (49.028)	Prec@5 71.094 (79.055)
Epoch: [60][10220/14090]	Time 0.764 (0.767)	Data 0.001 (0.001)	Loss 1.9974 (1.9819)	Prec@1 53.125 (49.028)	Prec@5 78.125 (79.055)
Epoch: [60][10230/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 2.0640 (1.9818)	Prec@1 44.531 (49.029)	Prec@5 78.125 (79.055)
Epoch: [60][10240/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 1.9179 (1.9818)	Prec@1 49.219 (49.030)	Prec@5 82.031 (79.057)
Epoch: [60][10250/14090]	Time 0.855 (0.767)	Data 0.001 (0.001)	Loss 2.0140 (1.9818)	Prec@1 46.875 (49.031)	Prec@5 75.000 (79.056)
Epoch: [60][10260/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 1.7234 (1.9818)	Prec@1 62.500 (49.032)	Prec@5 84.375 (79.055)
Epoch: [60][10270/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 1.9294 (1.9818)	Prec@1 51.562 (49.033)	Prec@5 82.031 (79.055)
Epoch: [60][10280/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 1.9069 (1.9817)	Prec@1 51.562 (49.033)	Prec@5 80.469 (79.056)
Epoch: [60][10290/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 1.8477 (1.9817)	Prec@1 46.875 (49.033)	Prec@5 84.375 (79.057)
Epoch: [60][10300/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 2.0327 (1.9816)	Prec@1 46.094 (49.033)	Prec@5 76.562 (79.058)
Epoch: [60][10310/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 2.0648 (1.9816)	Prec@1 46.094 (49.033)	Prec@5 71.094 (79.058)
Epoch: [60][10320/14090]	Time 0.861 (0.767)	Data 0.001 (0.001)	Loss 2.0106 (1.9815)	Prec@1 47.656 (49.035)	Prec@5 75.781 (79.059)
Epoch: [60][10330/14090]	Time 0.776 (0.767)	Data 0.001 (0.001)	Loss 2.0649 (1.9814)	Prec@1 49.219 (49.034)	Prec@5 75.000 (79.061)
Epoch: [60][10340/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 2.0798 (1.9814)	Prec@1 51.562 (49.036)	Prec@5 78.125 (79.061)
Epoch: [60][10350/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 2.2739 (1.9814)	Prec@1 45.312 (49.038)	Prec@5 76.562 (79.064)
Epoch: [60][10360/14090]	Time 0.769 (0.767)	Data 0.001 (0.001)	Loss 1.8743 (1.9814)	Prec@1 53.125 (49.039)	Prec@5 82.812 (79.063)
Epoch: [60][10370/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 2.1700 (1.9814)	Prec@1 43.750 (49.036)	Prec@5 75.000 (79.062)
Epoch: [60][10380/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 1.9261 (1.9813)	Prec@1 49.219 (49.036)	Prec@5 82.812 (79.063)
Epoch: [60][10390/14090]	Time 0.848 (0.767)	Data 0.001 (0.001)	Loss 1.8341 (1.9813)	Prec@1 51.562 (49.038)	Prec@5 79.688 (79.064)
Epoch: [60][10400/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 1.8530 (1.9812)	Prec@1 53.125 (49.041)	Prec@5 85.156 (79.066)
Epoch: [60][10410/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 1.8574 (1.9811)	Prec@1 50.000 (49.042)	Prec@5 83.594 (79.067)
Epoch: [60][10420/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 1.6980 (1.9810)	Prec@1 58.594 (49.044)	Prec@5 83.594 (79.069)
Epoch: [60][10430/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 1.7283 (1.9810)	Prec@1 59.375 (49.045)	Prec@5 81.250 (79.069)
Epoch: [60][10440/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 2.0090 (1.9809)	Prec@1 50.000 (49.046)	Prec@5 77.344 (79.070)
Epoch: [60][10450/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 1.7897 (1.9809)	Prec@1 54.688 (49.047)	Prec@5 79.688 (79.072)
Epoch: [60][10460/14090]	Time 0.882 (0.767)	Data 0.001 (0.001)	Loss 1.7385 (1.9808)	Prec@1 59.375 (49.048)	Prec@5 85.156 (79.073)
Epoch: [60][10470/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 1.8610 (1.9807)	Prec@1 49.219 (49.049)	Prec@5 84.375 (79.073)
Epoch: [60][10480/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 2.0211 (1.9807)	Prec@1 48.438 (49.049)	Prec@5 77.344 (79.073)
Epoch: [60][10490/14090]	Time 0.774 (0.767)	Data 0.001 (0.001)	Loss 2.2680 (1.9807)	Prec@1 34.375 (49.048)	Prec@5 71.094 (79.071)
Epoch: [60][10500/14090]	Time 0.774 (0.767)	Data 0.001 (0.001)	Loss 2.0365 (1.9807)	Prec@1 42.969 (49.050)	Prec@5 81.250 (79.072)
Epoch: [60][10510/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.1685 (1.9806)	Prec@1 51.562 (49.052)	Prec@5 75.000 (79.075)
Epoch: [60][10520/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 1.9234 (1.9806)	Prec@1 51.562 (49.051)	Prec@5 78.125 (79.074)
Epoch: [60][10530/14090]	Time 0.952 (0.767)	Data 0.001 (0.001)	Loss 1.8879 (1.9805)	Prec@1 48.438 (49.051)	Prec@5 79.688 (79.075)
Epoch: [60][10540/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 1.9987 (1.9805)	Prec@1 40.625 (49.053)	Prec@5 79.688 (79.077)
Epoch: [60][10550/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 1.8928 (1.9804)	Prec@1 52.344 (49.053)	Prec@5 78.125 (79.077)
Epoch: [60][10560/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 2.1747 (1.9804)	Prec@1 41.406 (49.054)	Prec@5 78.906 (79.079)
Epoch: [60][10570/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 1.9072 (1.9803)	Prec@1 54.688 (49.057)	Prec@5 82.031 (79.080)
Epoch: [60][10580/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 2.0020 (1.9802)	Prec@1 43.750 (49.056)	Prec@5 85.156 (79.081)
Epoch: [60][10590/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 1.7777 (1.9802)	Prec@1 53.125 (49.056)	Prec@5 82.031 (79.081)
Epoch: [60][10600/14090]	Time 0.883 (0.767)	Data 0.001 (0.001)	Loss 2.1759 (1.9802)	Prec@1 43.750 (49.057)	Prec@5 73.438 (79.080)
Epoch: [60][10610/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 1.8729 (1.9802)	Prec@1 51.562 (49.057)	Prec@5 77.344 (79.081)
Epoch: [60][10620/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 1.8505 (1.9801)	Prec@1 50.781 (49.057)	Prec@5 78.906 (79.081)
Epoch: [60][10630/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 2.0609 (1.9801)	Prec@1 44.531 (49.057)	Prec@5 80.469 (79.082)
Epoch: [60][10640/14090]	Time 0.762 (0.767)	Data 0.002 (0.001)	Loss 2.1207 (1.9801)	Prec@1 43.750 (49.056)	Prec@5 78.125 (79.081)
Epoch: [60][10650/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 1.9395 (1.9802)	Prec@1 50.000 (49.056)	Prec@5 73.438 (79.079)
Epoch: [60][10660/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.0472 (1.9801)	Prec@1 48.438 (49.057)	Prec@5 74.219 (79.080)
Epoch: [60][10670/14090]	Time 0.872 (0.767)	Data 0.001 (0.001)	Loss 1.8847 (1.9801)	Prec@1 47.656 (49.056)	Prec@5 81.250 (79.079)
Epoch: [60][10680/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.1835 (1.9801)	Prec@1 48.438 (49.055)	Prec@5 69.531 (79.079)
Epoch: [60][10690/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 1.9042 (1.9801)	Prec@1 54.688 (49.055)	Prec@5 78.125 (79.079)
Epoch: [60][10700/14090]	Time 0.722 (0.767)	Data 0.001 (0.001)	Loss 1.5565 (1.9800)	Prec@1 60.938 (49.057)	Prec@5 84.375 (79.079)
Epoch: [60][10710/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 2.2370 (1.9802)	Prec@1 39.844 (49.054)	Prec@5 71.094 (79.076)
Epoch: [60][10720/14090]	Time 0.767 (0.767)	Data 0.001 (0.001)	Loss 2.1363 (1.9801)	Prec@1 39.062 (49.053)	Prec@5 76.562 (79.075)
Epoch: [60][10730/14090]	Time 0.764 (0.767)	Data 0.001 (0.001)	Loss 2.0653 (1.9802)	Prec@1 42.969 (49.052)	Prec@5 77.344 (79.074)
Epoch: [60][10740/14090]	Time 0.857 (0.767)	Data 0.001 (0.001)	Loss 1.9580 (1.9802)	Prec@1 50.000 (49.052)	Prec@5 79.688 (79.074)
Epoch: [60][10750/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 1.8923 (1.9802)	Prec@1 50.781 (49.051)	Prec@5 79.688 (79.073)
Epoch: [60][10760/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 1.9668 (1.9802)	Prec@1 43.750 (49.052)	Prec@5 84.375 (79.074)
Epoch: [60][10770/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 2.1522 (1.9801)	Prec@1 52.344 (49.054)	Prec@5 71.875 (79.076)
Epoch: [60][10780/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 1.9573 (1.9801)	Prec@1 50.000 (49.054)	Prec@5 77.344 (79.077)
Epoch: [60][10790/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 2.1750 (1.9801)	Prec@1 46.094 (49.052)	Prec@5 73.438 (79.076)
Epoch: [60][10800/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.1080 (1.9802)	Prec@1 44.531 (49.051)	Prec@5 77.344 (79.074)
Epoch: [60][10810/14090]	Time 0.879 (0.767)	Data 0.001 (0.001)	Loss 2.1375 (1.9801)	Prec@1 41.406 (49.051)	Prec@5 77.344 (79.077)
Epoch: [60][10820/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 1.7095 (1.9801)	Prec@1 52.344 (49.053)	Prec@5 81.250 (79.077)
Epoch: [60][10830/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 1.8560 (1.9801)	Prec@1 48.438 (49.051)	Prec@5 81.250 (79.076)
Epoch: [60][10840/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 2.1659 (1.9801)	Prec@1 40.625 (49.050)	Prec@5 76.562 (79.075)
Epoch: [60][10850/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 1.9190 (1.9801)	Prec@1 45.312 (49.049)	Prec@5 82.031 (79.077)
Epoch: [60][10860/14090]	Time 0.764 (0.767)	Data 0.001 (0.001)	Loss 1.9491 (1.9800)	Prec@1 46.094 (49.047)	Prec@5 78.125 (79.077)
Epoch: [60][10870/14090]	Time 0.765 (0.767)	Data 0.001 (0.001)	Loss 1.9368 (1.9800)	Prec@1 52.344 (49.050)	Prec@5 81.250 (79.078)
Epoch: [60][10880/14090]	Time 0.897 (0.767)	Data 0.001 (0.001)	Loss 1.7337 (1.9799)	Prec@1 51.562 (49.050)	Prec@5 82.031 (79.079)
Epoch: [60][10890/14090]	Time 0.772 (0.767)	Data 0.001 (0.001)	Loss 2.2420 (1.9799)	Prec@1 46.094 (49.051)	Prec@5 74.219 (79.080)
Epoch: [60][10900/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 2.1140 (1.9799)	Prec@1 44.531 (49.049)	Prec@5 77.344 (79.081)
Epoch: [60][10910/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 1.9714 (1.9798)	Prec@1 47.656 (49.048)	Prec@5 75.000 (79.082)
Epoch: [60][10920/14090]	Time 0.744 (0.767)	Data 0.002 (0.001)	Loss 2.0429 (1.9798)	Prec@1 48.438 (49.049)	Prec@5 82.812 (79.083)
Epoch: [60][10930/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 2.0914 (1.9798)	Prec@1 50.000 (49.049)	Prec@5 72.656 (79.082)
Epoch: [60][10940/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 2.0471 (1.9798)	Prec@1 53.125 (49.051)	Prec@5 75.781 (79.083)
Epoch: [60][10950/14090]	Time 0.855 (0.767)	Data 0.001 (0.001)	Loss 1.8185 (1.9798)	Prec@1 52.344 (49.053)	Prec@5 80.469 (79.083)
Epoch: [60][10960/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 2.1859 (1.9797)	Prec@1 42.188 (49.054)	Prec@5 75.781 (79.084)
Epoch: [60][10970/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 2.0653 (1.9796)	Prec@1 46.875 (49.055)	Prec@5 81.250 (79.085)
Epoch: [60][10980/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 1.9158 (1.9796)	Prec@1 55.469 (49.058)	Prec@5 81.250 (79.086)
Epoch: [60][10990/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 2.0236 (1.9796)	Prec@1 45.312 (49.058)	Prec@5 80.469 (79.088)
Epoch: [60][11000/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 1.7656 (1.9796)	Prec@1 51.562 (49.058)	Prec@5 82.031 (79.088)
Epoch: [60][11010/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 2.1768 (1.9795)	Prec@1 40.625 (49.058)	Prec@5 78.906 (79.089)
Epoch: [60][11020/14090]	Time 0.872 (0.767)	Data 0.001 (0.001)	Loss 1.9482 (1.9795)	Prec@1 43.750 (49.058)	Prec@5 79.688 (79.088)
Epoch: [60][11030/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 1.8095 (1.9795)	Prec@1 53.125 (49.058)	Prec@5 82.812 (79.088)
Epoch: [60][11040/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 1.8057 (1.9794)	Prec@1 49.219 (49.058)	Prec@5 78.125 (79.089)
Epoch: [60][11050/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 1.7846 (1.9795)	Prec@1 57.031 (49.060)	Prec@5 82.812 (79.089)
Epoch: [60][11060/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 2.0151 (1.9794)	Prec@1 48.438 (49.062)	Prec@5 78.125 (79.090)
Epoch: [60][11070/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 2.1351 (1.9795)	Prec@1 46.094 (49.062)	Prec@5 74.219 (79.088)
Epoch: [60][11080/14090]	Time 0.771 (0.767)	Data 0.001 (0.001)	Loss 1.9805 (1.9794)	Prec@1 51.562 (49.062)	Prec@5 76.562 (79.089)
Epoch: [60][11090/14090]	Time 0.871 (0.767)	Data 0.001 (0.001)	Loss 2.0058 (1.9794)	Prec@1 53.125 (49.063)	Prec@5 78.906 (79.089)
Epoch: [60][11100/14090]	Time 0.781 (0.767)	Data 0.001 (0.001)	Loss 1.9587 (1.9794)	Prec@1 49.219 (49.064)	Prec@5 82.812 (79.090)
Epoch: [60][11110/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 2.1218 (1.9794)	Prec@1 46.094 (49.063)	Prec@5 75.000 (79.089)
Epoch: [60][11120/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.1535 (1.9794)	Prec@1 46.875 (49.065)	Prec@5 76.562 (79.091)
Epoch: [60][11130/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 1.7778 (1.9794)	Prec@1 52.344 (49.064)	Prec@5 80.469 (79.090)
Epoch: [60][11140/14090]	Time 0.769 (0.767)	Data 0.001 (0.001)	Loss 1.9351 (1.9794)	Prec@1 49.219 (49.063)	Prec@5 78.125 (79.090)
Epoch: [60][11150/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.1073 (1.9794)	Prec@1 46.094 (49.064)	Prec@5 77.344 (79.091)
Epoch: [60][11160/14090]	Time 1.011 (0.767)	Data 0.001 (0.001)	Loss 1.9013 (1.9793)	Prec@1 49.219 (49.064)	Prec@5 82.031 (79.093)
Epoch: [60][11170/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 2.1819 (1.9792)	Prec@1 44.531 (49.066)	Prec@5 77.344 (79.095)
Epoch: [60][11180/14090]	Time 0.780 (0.767)	Data 0.001 (0.001)	Loss 2.1971 (1.9792)	Prec@1 41.406 (49.067)	Prec@5 78.906 (79.095)
Epoch: [60][11190/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 1.9807 (1.9793)	Prec@1 51.562 (49.066)	Prec@5 78.125 (79.094)
Epoch: [60][11200/14090]	Time 0.789 (0.767)	Data 0.001 (0.001)	Loss 1.8949 (1.9792)	Prec@1 49.219 (49.067)	Prec@5 80.469 (79.094)
Epoch: [60][11210/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 1.8314 (1.9791)	Prec@1 54.688 (49.070)	Prec@5 82.812 (79.096)
Epoch: [60][11220/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 1.6478 (1.9791)	Prec@1 59.375 (49.072)	Prec@5 84.375 (79.097)
Epoch: [60][11230/14090]	Time 0.869 (0.767)	Data 0.002 (0.001)	Loss 1.9417 (1.9791)	Prec@1 49.219 (49.072)	Prec@5 78.125 (79.097)
Epoch: [60][11240/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 1.7612 (1.9791)	Prec@1 50.781 (49.072)	Prec@5 86.719 (79.098)
Epoch: [60][11250/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 2.0245 (1.9791)	Prec@1 46.094 (49.071)	Prec@5 76.562 (79.097)
Epoch: [60][11260/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.3112 (1.9792)	Prec@1 41.406 (49.070)	Prec@5 67.188 (79.095)
Epoch: [60][11270/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 2.0171 (1.9792)	Prec@1 46.094 (49.069)	Prec@5 79.688 (79.096)
Epoch: [60][11280/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 2.1495 (1.9792)	Prec@1 40.625 (49.068)	Prec@5 75.781 (79.095)
Epoch: [60][11290/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 1.8212 (1.9792)	Prec@1 53.125 (49.071)	Prec@5 82.031 (79.094)
Epoch: [60][11300/14090]	Time 0.855 (0.767)	Data 0.001 (0.001)	Loss 1.8038 (1.9791)	Prec@1 51.562 (49.072)	Prec@5 82.031 (79.095)
Epoch: [60][11310/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 2.0780 (1.9792)	Prec@1 52.344 (49.070)	Prec@5 75.000 (79.094)
Epoch: [60][11320/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 1.7852 (1.9792)	Prec@1 55.469 (49.072)	Prec@5 79.688 (79.095)
Epoch: [60][11330/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 1.8444 (1.9791)	Prec@1 41.406 (49.071)	Prec@5 81.250 (79.095)
Epoch: [60][11340/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 1.8586 (1.9791)	Prec@1 50.000 (49.071)	Prec@5 78.906 (79.095)
Epoch: [60][11350/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 1.8335 (1.9791)	Prec@1 57.812 (49.072)	Prec@5 78.125 (79.095)
Epoch: [60][11360/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 2.3233 (1.9791)	Prec@1 42.969 (49.073)	Prec@5 72.656 (79.095)
Epoch: [60][11370/14090]	Time 0.858 (0.767)	Data 0.001 (0.001)	Loss 2.1659 (1.9791)	Prec@1 42.969 (49.074)	Prec@5 77.344 (79.096)
Epoch: [60][11380/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 2.2726 (1.9792)	Prec@1 44.531 (49.074)	Prec@5 75.000 (79.094)
Epoch: [60][11390/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 1.7896 (1.9791)	Prec@1 53.125 (49.075)	Prec@5 82.031 (79.095)
Epoch: [60][11400/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 1.9097 (1.9791)	Prec@1 51.562 (49.074)	Prec@5 79.688 (79.094)
Epoch: [60][11410/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 1.7969 (1.9790)	Prec@1 53.125 (49.076)	Prec@5 82.812 (79.095)
Epoch: [60][11420/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 1.8916 (1.9790)	Prec@1 44.531 (49.076)	Prec@5 80.469 (79.097)
Epoch: [60][11430/14090]	Time 0.763 (0.767)	Data 0.001 (0.001)	Loss 1.9828 (1.9789)	Prec@1 47.656 (49.077)	Prec@5 77.344 (79.098)
Epoch: [60][11440/14090]	Time 0.861 (0.767)	Data 0.001 (0.001)	Loss 1.9086 (1.9789)	Prec@1 51.562 (49.076)	Prec@5 77.344 (79.099)
Epoch: [60][11450/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 1.9883 (1.9789)	Prec@1 50.000 (49.078)	Prec@5 76.562 (79.099)
Epoch: [60][11460/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.1371 (1.9789)	Prec@1 43.750 (49.077)	Prec@5 76.562 (79.098)
Epoch: [60][11470/14090]	Time 0.743 (0.767)	Data 0.002 (0.001)	Loss 2.0520 (1.9789)	Prec@1 42.969 (49.075)	Prec@5 78.906 (79.099)
Epoch: [60][11480/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 2.2066 (1.9790)	Prec@1 42.188 (49.075)	Prec@5 73.438 (79.098)
Epoch: [60][11490/14090]	Time 0.748 (0.767)	Data 0.003 (0.001)	Loss 1.8973 (1.9789)	Prec@1 51.562 (49.074)	Prec@5 78.125 (79.099)
Epoch: [60][11500/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 1.6871 (1.9789)	Prec@1 52.344 (49.074)	Prec@5 85.156 (79.101)
Epoch: [60][11510/14090]	Time 0.893 (0.767)	Data 0.001 (0.001)	Loss 2.2316 (1.9789)	Prec@1 44.531 (49.074)	Prec@5 74.219 (79.101)
Epoch: [60][11520/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 1.7269 (1.9788)	Prec@1 53.906 (49.076)	Prec@5 86.719 (79.102)
Epoch: [60][11530/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 1.7490 (1.9789)	Prec@1 53.125 (49.075)	Prec@5 82.812 (79.101)
Epoch: [60][11540/14090]	Time 0.786 (0.767)	Data 0.001 (0.001)	Loss 2.0498 (1.9790)	Prec@1 49.219 (49.075)	Prec@5 78.125 (79.101)
Epoch: [60][11550/14090]	Time 0.774 (0.767)	Data 0.001 (0.001)	Loss 1.9146 (1.9789)	Prec@1 44.531 (49.076)	Prec@5 81.250 (79.103)
Epoch: [60][11560/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 1.9206 (1.9788)	Prec@1 53.906 (49.078)	Prec@5 78.125 (79.103)
Epoch: [60][11570/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 1.8668 (1.9788)	Prec@1 50.000 (49.079)	Prec@5 78.906 (79.104)
Epoch: [60][11580/14090]	Time 0.854 (0.767)	Data 0.001 (0.001)	Loss 2.1018 (1.9788)	Prec@1 47.656 (49.079)	Prec@5 78.125 (79.104)
Epoch: [60][11590/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 2.1047 (1.9788)	Prec@1 46.094 (49.080)	Prec@5 76.562 (79.106)
Epoch: [60][11600/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 1.9680 (1.9788)	Prec@1 46.094 (49.080)	Prec@5 78.906 (79.105)
Epoch: [60][11610/14090]	Time 0.766 (0.767)	Data 0.001 (0.001)	Loss 2.1195 (1.9787)	Prec@1 43.750 (49.082)	Prec@5 74.219 (79.106)
Epoch: [60][11620/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 2.0354 (1.9787)	Prec@1 49.219 (49.082)	Prec@5 78.125 (79.106)
Epoch: [60][11630/14090]	Time 0.769 (0.767)	Data 0.001 (0.001)	Loss 1.6652 (1.9787)	Prec@1 55.469 (49.083)	Prec@5 87.500 (79.108)
Epoch: [60][11640/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 2.0483 (1.9787)	Prec@1 49.219 (49.083)	Prec@5 81.250 (79.108)
Epoch: [60][11650/14090]	Time 0.835 (0.767)	Data 0.001 (0.001)	Loss 1.6977 (1.9787)	Prec@1 56.250 (49.084)	Prec@5 82.812 (79.108)
Epoch: [60][11660/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 1.8652 (1.9787)	Prec@1 47.656 (49.084)	Prec@5 82.812 (79.109)
Epoch: [60][11670/14090]	Time 0.725 (0.767)	Data 0.001 (0.001)	Loss 1.6965 (1.9787)	Prec@1 55.469 (49.083)	Prec@5 86.719 (79.107)
Epoch: [60][11680/14090]	Time 0.775 (0.767)	Data 0.001 (0.001)	Loss 2.0293 (1.9786)	Prec@1 51.562 (49.086)	Prec@5 79.688 (79.109)
Epoch: [60][11690/14090]	Time 0.775 (0.767)	Data 0.001 (0.001)	Loss 1.9398 (1.9786)	Prec@1 48.438 (49.087)	Prec@5 77.344 (79.108)
Epoch: [60][11700/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 1.9748 (1.9786)	Prec@1 42.969 (49.088)	Prec@5 82.031 (79.109)
Epoch: [60][11710/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 1.7713 (1.9786)	Prec@1 52.344 (49.089)	Prec@5 81.250 (79.108)
Epoch: [60][11720/14090]	Time 0.833 (0.767)	Data 0.001 (0.001)	Loss 1.9107 (1.9786)	Prec@1 55.469 (49.092)	Prec@5 79.688 (79.109)
Epoch: [60][11730/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 1.8320 (1.9785)	Prec@1 50.000 (49.091)	Prec@5 78.125 (79.109)
Epoch: [60][11740/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 1.9384 (1.9785)	Prec@1 44.531 (49.092)	Prec@5 81.250 (79.110)
Epoch: [60][11750/14090]	Time 0.722 (0.767)	Data 0.001 (0.001)	Loss 1.7010 (1.9785)	Prec@1 54.688 (49.092)	Prec@5 82.812 (79.111)
Epoch: [60][11760/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 1.9887 (1.9785)	Prec@1 46.094 (49.091)	Prec@5 81.250 (79.111)
Epoch: [60][11770/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 2.2200 (1.9785)	Prec@1 42.969 (49.089)	Prec@5 74.219 (79.112)
Epoch: [60][11780/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 1.9115 (1.9785)	Prec@1 51.562 (49.089)	Prec@5 82.031 (79.112)
Epoch: [60][11790/14090]	Time 0.965 (0.767)	Data 0.001 (0.001)	Loss 1.9527 (1.9785)	Prec@1 52.344 (49.091)	Prec@5 78.906 (79.111)
Epoch: [60][11800/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 1.7905 (1.9784)	Prec@1 50.000 (49.090)	Prec@5 80.469 (79.111)
Epoch: [60][11810/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 1.8635 (1.9785)	Prec@1 52.344 (49.089)	Prec@5 85.156 (79.111)
Epoch: [60][11820/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.0144 (1.9785)	Prec@1 50.000 (49.088)	Prec@5 75.000 (79.110)
Epoch: [60][11830/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 1.9079 (1.9785)	Prec@1 46.875 (49.087)	Prec@5 77.344 (79.110)
Epoch: [60][11840/14090]	Time 0.763 (0.767)	Data 0.001 (0.001)	Loss 1.8978 (1.9785)	Prec@1 47.656 (49.087)	Prec@5 81.250 (79.110)
Epoch: [60][11850/14090]	Time 0.765 (0.767)	Data 0.003 (0.001)	Loss 1.9492 (1.9786)	Prec@1 50.000 (49.087)	Prec@5 79.688 (79.110)
Epoch: [60][11860/14090]	Time 0.834 (0.767)	Data 0.001 (0.001)	Loss 1.8128 (1.9786)	Prec@1 52.344 (49.088)	Prec@5 83.594 (79.110)
Epoch: [60][11870/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 2.0060 (1.9786)	Prec@1 47.656 (49.088)	Prec@5 79.688 (79.110)
Epoch: [60][11880/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 1.8571 (1.9786)	Prec@1 46.094 (49.089)	Prec@5 83.594 (79.111)
Epoch: [60][11890/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 1.9109 (1.9785)	Prec@1 42.188 (49.089)	Prec@5 82.812 (79.113)
Epoch: [60][11900/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 2.1103 (1.9785)	Prec@1 50.000 (49.090)	Prec@5 73.438 (79.112)
Epoch: [60][11910/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 1.7640 (1.9785)	Prec@1 49.219 (49.090)	Prec@5 84.375 (79.112)
Epoch: [60][11920/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 1.8719 (1.9783)	Prec@1 53.125 (49.093)	Prec@5 83.594 (79.115)
Epoch: [60][11930/14090]	Time 0.863 (0.767)	Data 0.001 (0.001)	Loss 1.9374 (1.9784)	Prec@1 52.344 (49.093)	Prec@5 78.906 (79.114)
Epoch: [60][11940/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 1.9480 (1.9784)	Prec@1 49.219 (49.094)	Prec@5 80.469 (79.115)
Epoch: [60][11950/14090]	Time 0.773 (0.767)	Data 0.001 (0.001)	Loss 1.8257 (1.9783)	Prec@1 53.125 (49.095)	Prec@5 84.375 (79.116)
Epoch: [60][11960/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 1.6626 (1.9782)	Prec@1 55.469 (49.096)	Prec@5 83.594 (79.117)
Epoch: [60][11970/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 1.9793 (1.9783)	Prec@1 45.312 (49.095)	Prec@5 84.375 (79.117)
Epoch: [60][11980/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 2.1009 (1.9783)	Prec@1 47.656 (49.094)	Prec@5 79.688 (79.118)
Epoch: [60][11990/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 1.6100 (1.9783)	Prec@1 61.719 (49.095)	Prec@5 82.031 (79.118)
Epoch: [60][12000/14090]	Time 0.897 (0.767)	Data 0.001 (0.001)	Loss 1.8184 (1.9782)	Prec@1 48.438 (49.096)	Prec@5 82.812 (79.120)
Epoch: [60][12010/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 2.0281 (1.9782)	Prec@1 51.562 (49.096)	Prec@5 77.344 (79.120)
Epoch: [60][12020/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 1.8817 (1.9782)	Prec@1 53.125 (49.097)	Prec@5 82.031 (79.120)
Epoch: [60][12030/14090]	Time 0.769 (0.767)	Data 0.001 (0.001)	Loss 1.8505 (1.9781)	Prec@1 52.344 (49.098)	Prec@5 78.906 (79.121)
Epoch: [60][12040/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 2.0312 (1.9782)	Prec@1 46.875 (49.097)	Prec@5 77.344 (79.120)
Epoch: [60][12050/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 1.9843 (1.9781)	Prec@1 54.688 (49.098)	Prec@5 77.344 (79.121)
Epoch: [60][12060/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 1.9662 (1.9782)	Prec@1 42.969 (49.097)	Prec@5 78.125 (79.120)
Epoch: [60][12070/14090]	Time 0.912 (0.767)	Data 0.001 (0.001)	Loss 2.0457 (1.9781)	Prec@1 46.875 (49.099)	Prec@5 78.906 (79.121)
Epoch: [60][12080/14090]	Time 0.779 (0.767)	Data 0.001 (0.001)	Loss 1.9195 (1.9781)	Prec@1 51.562 (49.100)	Prec@5 85.156 (79.122)
Epoch: [60][12090/14090]	Time 0.777 (0.767)	Data 0.001 (0.001)	Loss 1.8303 (1.9781)	Prec@1 54.688 (49.101)	Prec@5 82.812 (79.123)
Epoch: [60][12100/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 1.8208 (1.9781)	Prec@1 47.656 (49.101)	Prec@5 81.250 (79.123)
Epoch: [60][12110/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 2.0178 (1.9781)	Prec@1 45.312 (49.102)	Prec@5 81.250 (79.123)
Epoch: [60][12120/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 1.9795 (1.9780)	Prec@1 50.000 (49.104)	Prec@5 79.688 (79.126)
Epoch: [60][12130/14090]	Time 0.723 (0.767)	Data 0.001 (0.001)	Loss 2.0565 (1.9780)	Prec@1 47.656 (49.103)	Prec@5 78.906 (79.124)
Epoch: [60][12140/14090]	Time 0.899 (0.767)	Data 0.001 (0.001)	Loss 2.0844 (1.9779)	Prec@1 46.875 (49.104)	Prec@5 76.562 (79.125)
Epoch: [60][12150/14090]	Time 0.768 (0.767)	Data 0.001 (0.001)	Loss 2.0842 (1.9779)	Prec@1 48.438 (49.104)	Prec@5 82.031 (79.127)
Epoch: [60][12160/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 1.9398 (1.9779)	Prec@1 51.562 (49.104)	Prec@5 80.469 (79.126)
Epoch: [60][12170/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 2.0317 (1.9778)	Prec@1 45.312 (49.103)	Prec@5 77.344 (79.128)
Epoch: [60][12180/14090]	Time 0.773 (0.767)	Data 0.001 (0.001)	Loss 1.9857 (1.9778)	Prec@1 45.312 (49.104)	Prec@5 83.594 (79.129)
Epoch: [60][12190/14090]	Time 0.770 (0.767)	Data 0.001 (0.001)	Loss 1.7964 (1.9777)	Prec@1 51.562 (49.108)	Prec@5 82.812 (79.130)
Epoch: [60][12200/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 1.9003 (1.9777)	Prec@1 52.344 (49.109)	Prec@5 80.469 (79.131)
Epoch: [60][12210/14090]	Time 0.860 (0.767)	Data 0.001 (0.001)	Loss 2.2067 (1.9776)	Prec@1 45.312 (49.111)	Prec@5 78.125 (79.131)
Epoch: [60][12220/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 1.6411 (1.9776)	Prec@1 57.031 (49.113)	Prec@5 85.938 (79.131)
Epoch: [60][12230/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 1.8487 (1.9775)	Prec@1 55.469 (49.113)	Prec@5 84.375 (79.132)
Epoch: [60][12240/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 2.1349 (1.9775)	Prec@1 43.750 (49.113)	Prec@5 78.906 (79.132)
Epoch: [60][12250/14090]	Time 0.775 (0.767)	Data 0.001 (0.001)	Loss 2.1863 (1.9775)	Prec@1 41.406 (49.112)	Prec@5 74.219 (79.133)
Epoch: [60][12260/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.1307 (1.9776)	Prec@1 47.656 (49.112)	Prec@5 75.781 (79.132)
Epoch: [60][12270/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 1.9193 (1.9775)	Prec@1 59.375 (49.114)	Prec@5 78.125 (79.132)
Epoch: [60][12280/14090]	Time 0.887 (0.767)	Data 0.001 (0.001)	Loss 1.7514 (1.9775)	Prec@1 53.125 (49.113)	Prec@5 84.375 (79.132)
Epoch: [60][12290/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 1.9794 (1.9775)	Prec@1 51.562 (49.114)	Prec@5 80.469 (79.133)
Epoch: [60][12300/14090]	Time 0.766 (0.767)	Data 0.001 (0.001)	Loss 1.9138 (1.9774)	Prec@1 53.125 (49.115)	Prec@5 77.344 (79.134)
Epoch: [60][12310/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 2.3215 (1.9775)	Prec@1 41.406 (49.114)	Prec@5 69.531 (79.133)
Epoch: [60][12320/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 1.8677 (1.9774)	Prec@1 51.562 (49.115)	Prec@5 79.688 (79.135)
Epoch: [60][12330/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 1.9078 (1.9774)	Prec@1 50.000 (49.114)	Prec@5 80.469 (79.135)
Epoch: [60][12340/14090]	Time 0.726 (0.767)	Data 0.001 (0.001)	Loss 2.1339 (1.9775)	Prec@1 49.219 (49.113)	Prec@5 76.562 (79.133)
Epoch: [60][12350/14090]	Time 0.885 (0.767)	Data 0.001 (0.001)	Loss 1.7367 (1.9775)	Prec@1 54.688 (49.114)	Prec@5 85.156 (79.133)
Epoch: [60][12360/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 1.6006 (1.9775)	Prec@1 53.906 (49.113)	Prec@5 85.156 (79.132)
Epoch: [60][12370/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 1.9690 (1.9774)	Prec@1 49.219 (49.114)	Prec@5 80.469 (79.133)
Epoch: [60][12380/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 1.8426 (1.9774)	Prec@1 53.125 (49.115)	Prec@5 85.938 (79.134)
Epoch: [60][12390/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 1.9774 (1.9774)	Prec@1 50.781 (49.116)	Prec@5 79.688 (79.135)
Epoch: [60][12400/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 1.8271 (1.9773)	Prec@1 50.781 (49.118)	Prec@5 81.250 (79.135)
Epoch: [60][12410/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 1.9309 (1.9773)	Prec@1 52.344 (49.119)	Prec@5 80.469 (79.136)
Epoch: [60][12420/14090]	Time 0.875 (0.767)	Data 0.001 (0.001)	Loss 2.1163 (1.9773)	Prec@1 42.969 (49.119)	Prec@5 77.344 (79.135)
Epoch: [60][12430/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 1.9254 (1.9773)	Prec@1 52.344 (49.120)	Prec@5 84.375 (79.135)
Epoch: [60][12440/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 1.9558 (1.9773)	Prec@1 53.125 (49.120)	Prec@5 79.688 (79.135)
Epoch: [60][12450/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 2.2468 (1.9773)	Prec@1 35.156 (49.122)	Prec@5 71.094 (79.136)
Epoch: [60][12460/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 2.1656 (1.9773)	Prec@1 50.000 (49.121)	Prec@5 80.469 (79.136)
Epoch: [60][12470/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 1.6104 (1.9773)	Prec@1 52.344 (49.122)	Prec@5 89.844 (79.136)
Epoch: [60][12480/14090]	Time 0.722 (0.767)	Data 0.001 (0.001)	Loss 1.7752 (1.9772)	Prec@1 53.906 (49.124)	Prec@5 84.375 (79.138)
Epoch: [60][12490/14090]	Time 0.851 (0.767)	Data 0.001 (0.001)	Loss 1.9899 (1.9772)	Prec@1 44.531 (49.123)	Prec@5 75.000 (79.137)
Epoch: [60][12500/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 1.8494 (1.9772)	Prec@1 52.344 (49.123)	Prec@5 80.469 (79.137)
Epoch: [60][12510/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 1.9094 (1.9771)	Prec@1 50.781 (49.125)	Prec@5 76.562 (79.138)
Epoch: [60][12520/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 1.8291 (1.9771)	Prec@1 55.469 (49.126)	Prec@5 82.031 (79.138)
Epoch: [60][12530/14090]	Time 0.804 (0.767)	Data 0.001 (0.001)	Loss 2.0570 (1.9771)	Prec@1 50.000 (49.126)	Prec@5 80.469 (79.138)
Epoch: [60][12540/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 1.7748 (1.9770)	Prec@1 59.375 (49.126)	Prec@5 82.812 (79.141)
Epoch: [60][12550/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 1.7425 (1.9769)	Prec@1 57.812 (49.127)	Prec@5 84.375 (79.143)
Epoch: [60][12560/14090]	Time 0.846 (0.767)	Data 0.001 (0.001)	Loss 2.0906 (1.9770)	Prec@1 43.750 (49.126)	Prec@5 79.688 (79.142)
Epoch: [60][12570/14090]	Time 0.772 (0.767)	Data 0.001 (0.001)	Loss 2.1757 (1.9770)	Prec@1 44.531 (49.127)	Prec@5 69.531 (79.142)
Epoch: [60][12580/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 1.9626 (1.9769)	Prec@1 48.438 (49.128)	Prec@5 79.688 (79.144)
Epoch: [60][12590/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 2.0284 (1.9769)	Prec@1 48.438 (49.127)	Prec@5 79.688 (79.144)
Epoch: [60][12600/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.0984 (1.9769)	Prec@1 51.562 (49.129)	Prec@5 76.562 (79.145)
Epoch: [60][12610/14090]	Time 0.763 (0.767)	Data 0.001 (0.001)	Loss 2.0046 (1.9769)	Prec@1 45.312 (49.128)	Prec@5 78.906 (79.145)
Epoch: [60][12620/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 1.9516 (1.9769)	Prec@1 49.219 (49.128)	Prec@5 78.906 (79.145)
Epoch: [60][12630/14090]	Time 0.879 (0.767)	Data 0.001 (0.001)	Loss 1.8711 (1.9768)	Prec@1 46.875 (49.128)	Prec@5 82.812 (79.145)
Epoch: [60][12640/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 1.8522 (1.9768)	Prec@1 48.438 (49.127)	Prec@5 78.906 (79.145)
Epoch: [60][12650/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 1.7191 (1.9768)	Prec@1 53.906 (49.127)	Prec@5 80.469 (79.145)
Epoch: [60][12660/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 2.1860 (1.9767)	Prec@1 45.312 (49.129)	Prec@5 75.781 (79.147)
Epoch: [60][12670/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 1.7924 (1.9767)	Prec@1 49.219 (49.129)	Prec@5 83.594 (79.147)
Epoch: [60][12680/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 2.0552 (1.9767)	Prec@1 49.219 (49.129)	Prec@5 75.781 (79.146)
Epoch: [60][12690/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 2.1200 (1.9767)	Prec@1 46.094 (49.131)	Prec@5 78.125 (79.147)
Epoch: [60][12700/14090]	Time 0.827 (0.767)	Data 0.001 (0.001)	Loss 2.0644 (1.9766)	Prec@1 43.750 (49.133)	Prec@5 77.344 (79.148)
Epoch: [60][12710/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 2.0567 (1.9767)	Prec@1 50.781 (49.132)	Prec@5 75.781 (79.147)
Epoch: [60][12720/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 2.1222 (1.9767)	Prec@1 44.531 (49.131)	Prec@5 77.344 (79.146)
Epoch: [60][12730/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 2.1183 (1.9767)	Prec@1 45.312 (49.131)	Prec@5 77.344 (79.146)
Epoch: [60][12740/14090]	Time 0.763 (0.767)	Data 0.001 (0.001)	Loss 1.9625 (1.9767)	Prec@1 53.125 (49.132)	Prec@5 76.562 (79.146)
Epoch: [60][12750/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 1.8837 (1.9767)	Prec@1 51.562 (49.133)	Prec@5 78.906 (79.145)
Epoch: [60][12760/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 1.6406 (1.9767)	Prec@1 54.688 (49.132)	Prec@5 85.938 (79.145)
Epoch: [60][12770/14090]	Time 0.879 (0.767)	Data 0.001 (0.001)	Loss 2.2903 (1.9766)	Prec@1 43.750 (49.133)	Prec@5 75.781 (79.147)
Epoch: [60][12780/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 1.7181 (1.9766)	Prec@1 53.906 (49.134)	Prec@5 85.938 (79.149)
Epoch: [60][12790/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 1.9751 (1.9766)	Prec@1 50.000 (49.134)	Prec@5 78.125 (79.148)
Epoch: [60][12800/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 1.9311 (1.9765)	Prec@1 50.000 (49.135)	Prec@5 82.031 (79.148)
Epoch: [60][12810/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 1.9760 (1.9765)	Prec@1 52.344 (49.136)	Prec@5 79.688 (79.149)
Epoch: [60][12820/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 1.9417 (1.9764)	Prec@1 48.438 (49.138)	Prec@5 79.688 (79.150)
Epoch: [60][12830/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 2.1348 (1.9764)	Prec@1 46.875 (49.139)	Prec@5 74.219 (79.151)
Epoch: [60][12840/14090]	Time 0.846 (0.767)	Data 0.001 (0.001)	Loss 2.0127 (1.9763)	Prec@1 55.469 (49.140)	Prec@5 76.562 (79.151)
Epoch: [60][12850/14090]	Time 0.765 (0.767)	Data 0.001 (0.001)	Loss 1.8604 (1.9763)	Prec@1 53.906 (49.141)	Prec@5 80.469 (79.152)
Epoch: [60][12860/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 1.7623 (1.9762)	Prec@1 57.812 (49.144)	Prec@5 80.469 (79.153)
Epoch: [60][12870/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 2.0208 (1.9762)	Prec@1 47.656 (49.144)	Prec@5 78.125 (79.153)
Epoch: [60][12880/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 2.2781 (1.9763)	Prec@1 44.531 (49.142)	Prec@5 71.094 (79.151)
Epoch: [60][12890/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.0085 (1.9763)	Prec@1 47.656 (49.142)	Prec@5 76.562 (79.151)
Epoch: [60][12900/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 1.9970 (1.9763)	Prec@1 50.781 (49.143)	Prec@5 78.906 (79.152)
Epoch: [60][12910/14090]	Time 0.851 (0.767)	Data 0.001 (0.001)	Loss 2.3028 (1.9763)	Prec@1 46.875 (49.142)	Prec@5 73.438 (79.152)
Epoch: [60][12920/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 1.9627 (1.9763)	Prec@1 49.219 (49.141)	Prec@5 81.250 (79.151)
Epoch: [60][12930/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 2.0785 (1.9763)	Prec@1 40.625 (49.141)	Prec@5 72.656 (79.151)
Epoch: [60][12940/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 1.5928 (1.9763)	Prec@1 55.469 (49.141)	Prec@5 82.031 (79.151)
Epoch: [60][12950/14090]	Time 0.774 (0.767)	Data 0.001 (0.001)	Loss 1.9629 (1.9762)	Prec@1 42.188 (49.141)	Prec@5 81.250 (79.153)
Epoch: [60][12960/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 1.6762 (1.9761)	Prec@1 52.344 (49.143)	Prec@5 85.156 (79.154)
Epoch: [60][12970/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 1.9412 (1.9762)	Prec@1 52.344 (49.142)	Prec@5 81.250 (79.154)
Epoch: [60][12980/14090]	Time 0.872 (0.767)	Data 0.001 (0.001)	Loss 2.0701 (1.9762)	Prec@1 48.438 (49.141)	Prec@5 75.781 (79.153)
Epoch: [60][12990/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 1.9057 (1.9762)	Prec@1 50.000 (49.140)	Prec@5 78.125 (79.153)
Epoch: [60][13000/14090]	Time 0.725 (0.767)	Data 0.001 (0.001)	Loss 2.0703 (1.9762)	Prec@1 48.438 (49.141)	Prec@5 78.906 (79.154)
Epoch: [60][13010/14090]	Time 0.769 (0.767)	Data 0.001 (0.001)	Loss 2.0828 (1.9762)	Prec@1 46.094 (49.139)	Prec@5 78.125 (79.153)
Epoch: [60][13020/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 2.1179 (1.9762)	Prec@1 48.438 (49.141)	Prec@5 74.219 (79.153)
Epoch: [60][13030/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 2.1012 (1.9762)	Prec@1 45.312 (49.141)	Prec@5 77.344 (79.153)
Epoch: [60][13040/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 2.1501 (1.9762)	Prec@1 49.219 (49.141)	Prec@5 75.000 (79.153)
Epoch: [60][13050/14090]	Time 0.841 (0.767)	Data 0.001 (0.001)	Loss 2.0241 (1.9762)	Prec@1 46.094 (49.140)	Prec@5 75.781 (79.152)
Epoch: [60][13060/14090]	Time 0.776 (0.767)	Data 0.001 (0.001)	Loss 1.8961 (1.9761)	Prec@1 50.781 (49.141)	Prec@5 76.562 (79.153)
Epoch: [60][13070/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 1.9062 (1.9761)	Prec@1 52.344 (49.142)	Prec@5 79.688 (79.154)
Epoch: [60][13080/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 1.9199 (1.9761)	Prec@1 51.562 (49.142)	Prec@5 79.688 (79.154)
Epoch: [60][13090/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 2.0201 (1.9760)	Prec@1 46.875 (49.143)	Prec@5 78.906 (79.154)
Epoch: [60][13100/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 1.8900 (1.9760)	Prec@1 50.000 (49.142)	Prec@5 78.906 (79.154)
Epoch: [60][13110/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 1.8353 (1.9760)	Prec@1 52.344 (49.144)	Prec@5 82.031 (79.154)
Epoch: [60][13120/14090]	Time 0.887 (0.767)	Data 0.001 (0.001)	Loss 2.0894 (1.9760)	Prec@1 51.562 (49.144)	Prec@5 74.219 (79.154)
Epoch: [60][13130/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 2.2230 (1.9760)	Prec@1 52.344 (49.145)	Prec@5 75.000 (79.154)
Epoch: [60][13140/14090]	Time 0.723 (0.767)	Data 0.001 (0.001)	Loss 2.0695 (1.9759)	Prec@1 50.000 (49.148)	Prec@5 75.000 (79.155)
Epoch: [60][13150/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 2.1099 (1.9760)	Prec@1 43.750 (49.146)	Prec@5 78.125 (79.154)
Epoch: [60][13160/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 1.9308 (1.9759)	Prec@1 53.125 (49.148)	Prec@5 82.812 (79.155)
Epoch: [60][13170/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 2.0771 (1.9759)	Prec@1 41.406 (49.148)	Prec@5 78.125 (79.155)
Epoch: [60][13180/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 2.0043 (1.9759)	Prec@1 44.531 (49.147)	Prec@5 80.469 (79.155)
Epoch: [60][13190/14090]	Time 0.867 (0.767)	Data 0.001 (0.001)	Loss 2.3200 (1.9760)	Prec@1 43.750 (49.146)	Prec@5 71.875 (79.153)
Epoch: [60][13200/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 2.0781 (1.9760)	Prec@1 42.188 (49.145)	Prec@5 80.469 (79.153)
Epoch: [60][13210/14090]	Time 0.775 (0.767)	Data 0.001 (0.001)	Loss 1.9836 (1.9760)	Prec@1 52.344 (49.145)	Prec@5 72.656 (79.153)
Epoch: [60][13220/14090]	Time 0.772 (0.767)	Data 0.001 (0.001)	Loss 1.8476 (1.9760)	Prec@1 53.906 (49.145)	Prec@5 80.469 (79.153)
Epoch: [60][13230/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 1.9566 (1.9760)	Prec@1 51.562 (49.145)	Prec@5 81.250 (79.153)
Epoch: [60][13240/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 2.1704 (1.9760)	Prec@1 42.188 (49.144)	Prec@5 76.562 (79.154)
Epoch: [60][13250/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.3240 (1.9760)	Prec@1 42.188 (49.145)	Prec@5 71.094 (79.154)
Epoch: [60][13260/14090]	Time 0.864 (0.767)	Data 0.001 (0.001)	Loss 2.0717 (1.9760)	Prec@1 45.312 (49.145)	Prec@5 77.344 (79.154)
Epoch: [60][13270/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 1.8545 (1.9760)	Prec@1 51.562 (49.144)	Prec@5 82.812 (79.155)
Epoch: [60][13280/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 2.0684 (1.9760)	Prec@1 47.656 (49.144)	Prec@5 77.344 (79.155)
Epoch: [60][13290/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 1.8595 (1.9759)	Prec@1 50.000 (49.145)	Prec@5 80.469 (79.155)
Epoch: [60][13300/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 1.8694 (1.9759)	Prec@1 52.344 (49.147)	Prec@5 80.469 (79.156)
Epoch: [60][13310/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 1.9210 (1.9759)	Prec@1 51.562 (49.147)	Prec@5 83.594 (79.156)
Epoch: [60][13320/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 2.0947 (1.9759)	Prec@1 46.094 (49.148)	Prec@5 72.656 (79.156)
Epoch: [60][13330/14090]	Time 0.857 (0.767)	Data 0.001 (0.001)	Loss 2.0043 (1.9758)	Prec@1 50.781 (49.150)	Prec@5 82.031 (79.158)
Epoch: [60][13340/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 1.7769 (1.9757)	Prec@1 50.000 (49.152)	Prec@5 83.594 (79.159)
Epoch: [60][13350/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 2.0011 (1.9757)	Prec@1 45.312 (49.151)	Prec@5 76.562 (79.159)
Epoch: [60][13360/14090]	Time 0.763 (0.767)	Data 0.001 (0.001)	Loss 2.0502 (1.9757)	Prec@1 49.219 (49.151)	Prec@5 74.219 (79.159)
Epoch: [60][13370/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 1.8937 (1.9756)	Prec@1 57.031 (49.152)	Prec@5 76.562 (79.160)
Epoch: [60][13380/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 1.8141 (1.9756)	Prec@1 46.094 (49.151)	Prec@5 79.688 (79.160)
Epoch: [60][13390/14090]	Time 0.725 (0.767)	Data 0.001 (0.001)	Loss 1.8920 (1.9756)	Prec@1 46.094 (49.151)	Prec@5 82.031 (79.160)
Epoch: [60][13400/14090]	Time 0.900 (0.767)	Data 0.001 (0.001)	Loss 2.0158 (1.9756)	Prec@1 48.438 (49.150)	Prec@5 78.125 (79.161)
Epoch: [60][13410/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 2.1821 (1.9755)	Prec@1 49.219 (49.153)	Prec@5 75.000 (79.162)
Epoch: [60][13420/14090]	Time 0.727 (0.767)	Data 0.001 (0.001)	Loss 2.0123 (1.9755)	Prec@1 51.562 (49.154)	Prec@5 78.906 (79.162)
Epoch: [60][13430/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 1.7917 (1.9755)	Prec@1 52.344 (49.154)	Prec@5 79.688 (79.163)
Epoch: [60][13440/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 2.3174 (1.9755)	Prec@1 44.531 (49.154)	Prec@5 72.656 (79.162)
Epoch: [60][13450/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 2.2014 (1.9755)	Prec@1 39.844 (49.154)	Prec@5 73.438 (79.162)
Epoch: [60][13460/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 2.1224 (1.9756)	Prec@1 43.750 (49.152)	Prec@5 74.219 (79.162)
Epoch: [60][13470/14090]	Time 0.867 (0.767)	Data 0.001 (0.001)	Loss 1.6985 (1.9755)	Prec@1 57.031 (49.155)	Prec@5 82.812 (79.162)
Epoch: [60][13480/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 1.7675 (1.9755)	Prec@1 59.375 (49.155)	Prec@5 79.688 (79.161)
Epoch: [60][13490/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.0214 (1.9756)	Prec@1 51.562 (49.154)	Prec@5 75.000 (79.161)
Epoch: [60][13500/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 1.7843 (1.9755)	Prec@1 57.031 (49.155)	Prec@5 79.688 (79.161)
Epoch: [60][13510/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.0547 (1.9755)	Prec@1 46.875 (49.154)	Prec@5 79.688 (79.161)
Epoch: [60][13520/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 2.1314 (1.9754)	Prec@1 43.750 (49.155)	Prec@5 76.562 (79.162)
Epoch: [60][13530/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 2.0409 (1.9755)	Prec@1 48.438 (49.156)	Prec@5 78.906 (79.162)
Epoch: [60][13540/14090]	Time 0.854 (0.767)	Data 0.001 (0.001)	Loss 2.0505 (1.9755)	Prec@1 43.750 (49.155)	Prec@5 78.125 (79.162)
Epoch: [60][13550/14090]	Time 0.727 (0.767)	Data 0.001 (0.001)	Loss 2.3597 (1.9755)	Prec@1 39.844 (49.154)	Prec@5 70.312 (79.163)
Epoch: [60][13560/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 2.1438 (1.9754)	Prec@1 49.219 (49.156)	Prec@5 75.781 (79.164)
Epoch: [60][13570/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.3823 (1.9754)	Prec@1 43.750 (49.157)	Prec@5 69.531 (79.164)
Epoch: [60][13580/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 1.7704 (1.9754)	Prec@1 53.906 (49.156)	Prec@5 83.594 (79.164)
Epoch: [60][13590/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 1.6537 (1.9753)	Prec@1 59.375 (49.158)	Prec@5 82.031 (79.166)
Epoch: [60][13600/14090]	Time 0.726 (0.767)	Data 0.001 (0.001)	Loss 1.9372 (1.9754)	Prec@1 50.000 (49.156)	Prec@5 82.031 (79.165)
Epoch: [60][13610/14090]	Time 0.880 (0.767)	Data 0.001 (0.001)	Loss 1.9744 (1.9754)	Prec@1 48.438 (49.156)	Prec@5 80.469 (79.165)
Epoch: [60][13620/14090]	Time 0.724 (0.767)	Data 0.001 (0.001)	Loss 1.7072 (1.9754)	Prec@1 55.469 (49.157)	Prec@5 85.156 (79.166)
Epoch: [60][13630/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 1.8560 (1.9754)	Prec@1 52.344 (49.159)	Prec@5 80.469 (79.166)
Epoch: [60][13640/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 2.0870 (1.9754)	Prec@1 42.969 (49.158)	Prec@5 78.125 (79.165)
Epoch: [60][13650/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 1.9896 (1.9753)	Prec@1 47.656 (49.159)	Prec@5 77.344 (79.166)
Epoch: [60][13660/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 2.0091 (1.9753)	Prec@1 42.969 (49.159)	Prec@5 80.469 (79.166)
Epoch: [60][13670/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.6093 (1.9754)	Prec@1 42.188 (49.159)	Prec@5 67.969 (79.166)
Epoch: [60][13680/14090]	Time 0.868 (0.767)	Data 0.001 (0.001)	Loss 1.9503 (1.9754)	Prec@1 48.438 (49.157)	Prec@5 73.438 (79.165)
Epoch: [60][13690/14090]	Time 0.776 (0.767)	Data 0.001 (0.001)	Loss 1.8733 (1.9754)	Prec@1 53.125 (49.158)	Prec@5 83.594 (79.164)
Epoch: [60][13700/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 1.8740 (1.9753)	Prec@1 54.688 (49.158)	Prec@5 82.031 (79.166)
Epoch: [60][13710/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.2846 (1.9754)	Prec@1 43.750 (49.157)	Prec@5 77.344 (79.165)
Epoch: [60][13720/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 1.7126 (1.9753)	Prec@1 53.125 (49.157)	Prec@5 88.281 (79.166)
Epoch: [60][13730/14090]	Time 0.763 (0.767)	Data 0.001 (0.001)	Loss 2.0348 (1.9753)	Prec@1 51.562 (49.159)	Prec@5 75.000 (79.168)
Epoch: [60][13740/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.1344 (1.9752)	Prec@1 42.969 (49.159)	Prec@5 75.000 (79.168)
Epoch: [60][13750/14090]	Time 0.826 (0.767)	Data 0.001 (0.001)	Loss 1.9180 (1.9752)	Prec@1 54.688 (49.161)	Prec@5 82.031 (79.169)
Epoch: [60][13760/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 1.7866 (1.9752)	Prec@1 54.688 (49.162)	Prec@5 86.719 (79.170)
Epoch: [60][13770/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 1.9920 (1.9751)	Prec@1 51.562 (49.165)	Prec@5 78.125 (79.172)
Epoch: [60][13780/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 1.9610 (1.9751)	Prec@1 50.000 (49.164)	Prec@5 82.812 (79.173)
Epoch: [60][13790/14090]	Time 0.764 (0.767)	Data 0.001 (0.001)	Loss 1.8739 (1.9751)	Prec@1 52.344 (49.164)	Prec@5 78.906 (79.172)
Epoch: [60][13800/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 1.8624 (1.9751)	Prec@1 53.125 (49.164)	Prec@5 83.594 (79.173)
Epoch: [60][13810/14090]	Time 0.764 (0.767)	Data 0.001 (0.001)	Loss 1.7354 (1.9750)	Prec@1 53.125 (49.165)	Prec@5 82.812 (79.173)
Epoch: [60][13820/14090]	Time 0.840 (0.767)	Data 0.001 (0.001)	Loss 2.1613 (1.9750)	Prec@1 46.094 (49.165)	Prec@5 75.000 (79.174)
Epoch: [60][13830/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.0749 (1.9751)	Prec@1 44.531 (49.163)	Prec@5 78.125 (79.173)
Epoch: [60][13840/14090]	Time 0.769 (0.767)	Data 0.001 (0.001)	Loss 1.7740 (1.9751)	Prec@1 52.344 (49.165)	Prec@5 85.156 (79.174)
Epoch: [60][13850/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 1.8167 (1.9750)	Prec@1 53.906 (49.164)	Prec@5 78.906 (79.174)
Epoch: [60][13860/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 1.5267 (1.9751)	Prec@1 60.156 (49.164)	Prec@5 85.156 (79.174)
Epoch: [60][13870/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.0832 (1.9751)	Prec@1 46.875 (49.164)	Prec@5 75.781 (79.173)
Epoch: [60][13880/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 1.7666 (1.9750)	Prec@1 51.562 (49.165)	Prec@5 82.812 (79.172)
Epoch: [60][13890/14090]	Time 0.864 (0.767)	Data 0.001 (0.001)	Loss 2.1975 (1.9751)	Prec@1 42.969 (49.164)	Prec@5 76.562 (79.172)
Epoch: [60][13900/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 1.9743 (1.9751)	Prec@1 48.438 (49.164)	Prec@5 80.469 (79.173)
Epoch: [60][13910/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 2.0688 (1.9751)	Prec@1 46.094 (49.164)	Prec@5 76.562 (79.173)
Epoch: [60][13920/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 1.9818 (1.9751)	Prec@1 49.219 (49.165)	Prec@5 77.344 (79.173)
Epoch: [60][13930/14090]	Time 0.768 (0.767)	Data 0.001 (0.001)	Loss 1.9150 (1.9750)	Prec@1 50.781 (49.165)	Prec@5 79.688 (79.174)
Epoch: [60][13940/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 2.0101 (1.9749)	Prec@1 50.000 (49.166)	Prec@5 78.125 (79.176)
Epoch: [60][13950/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 1.9542 (1.9749)	Prec@1 51.562 (49.165)	Prec@5 78.125 (79.176)
Epoch: [60][13960/14090]	Time 0.922 (0.767)	Data 0.001 (0.001)	Loss 1.7734 (1.9749)	Prec@1 48.438 (49.165)	Prec@5 84.375 (79.177)
Epoch: [60][13970/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 2.0625 (1.9749)	Prec@1 38.281 (49.165)	Prec@5 79.688 (79.177)
Epoch: [60][13980/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 1.8563 (1.9749)	Prec@1 53.125 (49.167)	Prec@5 83.594 (79.178)
Epoch: [60][13990/14090]	Time 0.797 (0.767)	Data 0.001 (0.001)	Loss 2.0606 (1.9749)	Prec@1 55.469 (49.167)	Prec@5 74.219 (79.177)
Epoch: [60][14000/14090]	Time 0.720 (0.767)	Data 0.001 (0.001)	Loss 1.8625 (1.9749)	Prec@1 46.094 (49.168)	Prec@5 83.594 (79.178)
Epoch: [60][14010/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.0661 (1.9748)	Prec@1 46.094 (49.168)	Prec@5 77.344 (79.179)
Epoch: [60][14020/14090]	Time 0.727 (0.767)	Data 0.001 (0.001)	Loss 2.1800 (1.9748)	Prec@1 45.312 (49.168)	Prec@5 74.219 (79.179)
Epoch: [60][14030/14090]	Time 0.886 (0.767)	Data 0.001 (0.001)	Loss 2.3574 (1.9748)	Prec@1 39.844 (49.167)	Prec@5 72.656 (79.179)
Epoch: [60][14040/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 1.8078 (1.9748)	Prec@1 46.875 (49.168)	Prec@5 85.156 (79.179)
Epoch: [60][14050/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 1.9157 (1.9748)	Prec@1 51.562 (49.168)	Prec@5 76.562 (79.179)
Epoch: [60][14060/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 1.7629 (1.9748)	Prec@1 47.656 (49.166)	Prec@5 82.031 (79.178)
Epoch: [60][14070/14090]	Time 0.766 (0.767)	Data 0.001 (0.001)	Loss 2.0466 (1.9748)	Prec@1 45.312 (49.166)	Prec@5 80.469 (79.178)
Epoch: [60][14080/14090]	Time 0.725 (0.767)	Data 0.000 (0.001)	Loss 2.0168 (1.9748)	Prec@1 53.125 (49.166)	Prec@5 80.469 (79.178)
Test: [0/286]	Time 5.077 (5.077)	Loss 1.3681 (1.3681)	Prec@1 57.031 (57.031)	Prec@5 95.312 (95.312)
Test: [10/286]	Time 0.272 (0.844)	Loss 1.7284 (1.8151)	Prec@1 50.781 (52.344)	Prec@5 91.406 (85.014)
Test: [20/286]	Time 0.295 (0.650)	Loss 1.4174 (1.7329)	Prec@1 62.500 (54.167)	Prec@5 91.406 (85.900)
Test: [30/286]	Time 0.231 (0.579)	Loss 1.7539 (1.6535)	Prec@1 56.250 (56.628)	Prec@5 84.375 (86.240)
Test: [40/286]	Time 1.932 (0.580)	Loss 1.6519 (1.6624)	Prec@1 52.344 (56.326)	Prec@5 88.281 (86.319)
Test: [50/286]	Time 0.353 (0.551)	Loss 0.4863 (1.6449)	Prec@1 89.844 (56.311)	Prec@5 95.312 (86.550)
Test: [60/286]	Time 0.259 (0.532)	Loss 2.5194 (1.6698)	Prec@1 40.625 (55.879)	Prec@5 73.438 (85.515)
Test: [70/286]	Time 0.285 (0.521)	Loss 1.0972 (1.6484)	Prec@1 74.219 (56.239)	Prec@5 92.188 (85.772)
Test: [80/286]	Time 1.174 (0.528)	Loss 1.6938 (1.6778)	Prec@1 50.000 (55.266)	Prec@5 88.281 (85.436)
Test: [90/286]	Time 0.324 (0.520)	Loss 1.8878 (1.6902)	Prec@1 49.219 (55.005)	Prec@5 85.938 (85.294)
Test: [100/286]	Time 0.380 (0.514)	Loss 2.1672 (1.7041)	Prec@1 30.469 (54.324)	Prec@5 85.156 (85.357)
Test: [110/286]	Time 0.332 (0.508)	Loss 2.3637 (1.7268)	Prec@1 42.969 (53.780)	Prec@5 75.000 (85.177)
Test: [120/286]	Time 0.286 (0.510)	Loss 1.4733 (1.7125)	Prec@1 64.062 (54.319)	Prec@5 82.031 (85.311)
Test: [130/286]	Time 0.288 (0.509)	Loss 0.8462 (1.7088)	Prec@1 68.750 (54.371)	Prec@5 94.531 (85.246)
Test: [140/286]	Time 0.643 (0.506)	Loss 2.1459 (1.7055)	Prec@1 51.562 (54.471)	Prec@5 75.000 (85.201)
Test: [150/286]	Time 0.285 (0.504)	Loss 2.7270 (1.7176)	Prec@1 31.250 (54.061)	Prec@5 73.438 (85.105)
Test: [160/286]	Time 0.296 (0.504)	Loss 2.7089 (1.7151)	Prec@1 25.000 (54.154)	Prec@5 67.188 (85.083)
Test: [170/286]	Time 0.274 (0.500)	Loss 1.9367 (1.7084)	Prec@1 47.656 (54.244)	Prec@5 81.250 (85.147)
Test: [180/286]	Time 0.883 (0.500)	Loss 1.7496 (1.7199)	Prec@1 58.594 (53.984)	Prec@5 80.469 (84.953)
Test: [190/286]	Time 0.341 (0.502)	Loss 3.0040 (1.7384)	Prec@1 13.281 (53.542)	Prec@5 69.531 (84.727)
Test: [200/286]	Time 0.233 (0.499)	Loss 1.7732 (1.7338)	Prec@1 64.844 (53.751)	Prec@5 88.281 (84.760)
Test: [210/286]	Time 0.445 (0.497)	Loss 1.8190 (1.7402)	Prec@1 50.000 (53.503)	Prec@5 83.594 (84.686)
Test: [220/286]	Time 0.591 (0.497)	Loss 2.7529 (1.7472)	Prec@1 27.344 (53.404)	Prec@5 70.312 (84.485)
Test: [230/286]	Time 0.266 (0.501)	Loss 1.1437 (1.7456)	Prec@1 66.406 (53.456)	Prec@5 89.844 (84.446)
Test: [240/286]	Time 0.228 (0.497)	Loss 1.6969 (1.7432)	Prec@1 56.250 (53.556)	Prec@5 84.375 (84.466)
Test: [250/286]	Time 0.476 (0.496)	Loss 1.7213 (1.7348)	Prec@1 48.438 (53.673)	Prec@5 87.500 (84.652)
Test: [260/286]	Time 0.430 (0.495)	Loss 1.6535 (1.7254)	Prec@1 58.594 (53.981)	Prec@5 89.062 (84.821)
Test: [270/286]	Time 0.422 (0.498)	Loss 1.0226 (1.7248)	Prec@1 72.656 (54.056)	Prec@5 93.750 (84.848)
Test: [280/286]	Time 0.231 (0.495)	Loss 1.7292 (1.7109)	Prec@1 59.375 (54.554)	Prec@5 88.281 (84.976)
 * Prec@1 54.649 Prec@5 84.976
Epoch: [61][0/14090]	Time 6.611 (6.611)	Data 5.697 (5.697)	Loss 2.2273 (2.2273)	Prec@1 46.094 (46.094)	Prec@5 72.656 (72.656)
Epoch: [61][10/14090]	Time 0.750 (1.271)	Data 0.001 (0.519)	Loss 1.9735 (1.9635)	Prec@1 51.562 (50.355)	Prec@5 76.562 (78.480)
Epoch: [61][20/14090]	Time 0.761 (1.017)	Data 0.001 (0.272)	Loss 1.7124 (1.9475)	Prec@1 61.719 (50.335)	Prec@5 85.938 (79.129)
Epoch: [61][30/14090]	Time 0.735 (0.935)	Data 0.001 (0.185)	Loss 2.0672 (1.9463)	Prec@1 43.750 (50.706)	Prec@5 76.562 (79.083)
Epoch: [61][40/14090]	Time 0.731 (0.893)	Data 0.001 (0.140)	Loss 1.9177 (1.9572)	Prec@1 53.906 (50.286)	Prec@5 78.906 (78.982)
Epoch: [61][50/14090]	Time 0.724 (0.869)	Data 0.001 (0.113)	Loss 1.9806 (1.9702)	Prec@1 48.438 (49.632)	Prec@5 79.688 (78.722)
Epoch: [61][60/14090]	Time 0.761 (0.851)	Data 0.001 (0.094)	Loss 2.2211 (1.9617)	Prec@1 42.188 (49.974)	Prec@5 74.219 (78.983)
Epoch: [61][70/14090]	Time 0.869 (0.839)	Data 0.001 (0.081)	Loss 2.1716 (1.9731)	Prec@1 48.438 (49.846)	Prec@5 75.781 (78.664)
Epoch: [61][80/14090]	Time 0.730 (0.829)	Data 0.001 (0.071)	Loss 1.8047 (1.9700)	Prec@1 53.906 (49.942)	Prec@5 79.688 (78.675)
Epoch: [61][90/14090]	Time 0.724 (0.821)	Data 0.001 (0.063)	Loss 1.5757 (1.9569)	Prec@1 56.250 (50.155)	Prec@5 86.719 (78.898)
Epoch: [61][100/14090]	Time 0.781 (0.816)	Data 0.001 (0.057)	Loss 2.0062 (1.9576)	Prec@1 51.562 (50.101)	Prec@5 78.906 (78.899)
Epoch: [61][110/14090]	Time 0.720 (0.810)	Data 0.003 (0.052)	Loss 1.8552 (1.9621)	Prec@1 49.219 (49.866)	Prec@5 80.469 (78.941)
Epoch: [61][120/14090]	Time 0.746 (0.806)	Data 0.001 (0.048)	Loss 1.7155 (1.9561)	Prec@1 49.219 (49.955)	Prec@5 83.594 (79.165)
Epoch: [61][130/14090]	Time 0.745 (0.803)	Data 0.001 (0.044)	Loss 1.8056 (1.9505)	Prec@1 52.344 (50.030)	Prec@5 79.688 (79.145)
Epoch: [61][140/14090]	Time 0.867 (0.801)	Data 0.001 (0.041)	Loss 1.9897 (1.9469)	Prec@1 50.000 (50.072)	Prec@5 75.781 (79.222)
Epoch: [61][150/14090]	Time 0.741 (0.798)	Data 0.001 (0.039)	Loss 2.2245 (1.9482)	Prec@1 37.500 (50.036)	Prec@5 78.906 (79.232)
Epoch: [61][160/14090]	Time 0.731 (0.795)	Data 0.001 (0.036)	Loss 1.9780 (1.9462)	Prec@1 50.781 (50.092)	Prec@5 79.688 (79.231)
Epoch: [61][170/14090]	Time 0.761 (0.794)	Data 0.001 (0.034)	Loss 1.7544 (1.9465)	Prec@1 53.125 (50.164)	Prec@5 81.250 (79.299)
Epoch: [61][180/14090]	Time 0.752 (0.793)	Data 0.001 (0.032)	Loss 1.9325 (1.9459)	Prec@1 55.469 (50.186)	Prec@5 80.469 (79.290)
Epoch: [61][190/14090]	Time 0.752 (0.792)	Data 0.001 (0.031)	Loss 1.9779 (1.9437)	Prec@1 43.750 (50.213)	Prec@5 79.688 (79.418)
Epoch: [61][200/14090]	Time 0.738 (0.790)	Data 0.001 (0.029)	Loss 2.0437 (1.9440)	Prec@1 48.438 (50.233)	Prec@5 76.562 (79.423)
Epoch: [61][210/14090]	Time 0.875 (0.790)	Data 0.001 (0.028)	Loss 1.9417 (1.9441)	Prec@1 45.312 (50.178)	Prec@5 78.125 (79.425)
Epoch: [61][220/14090]	Time 0.758 (0.788)	Data 0.001 (0.027)	Loss 2.1765 (1.9455)	Prec@1 47.656 (50.201)	Prec@5 74.219 (79.419)
Epoch: [61][230/14090]	Time 0.769 (0.787)	Data 0.001 (0.026)	Loss 1.9783 (1.9462)	Prec@1 41.406 (50.135)	Prec@5 84.375 (79.481)
Epoch: [61][240/14090]	Time 0.740 (0.787)	Data 0.001 (0.025)	Loss 1.7588 (1.9470)	Prec@1 52.344 (50.097)	Prec@5 78.125 (79.412)
Epoch: [61][250/14090]	Time 0.755 (0.786)	Data 0.001 (0.024)	Loss 1.8597 (1.9442)	Prec@1 53.125 (50.149)	Prec@5 81.250 (79.467)
Epoch: [61][260/14090]	Time 0.753 (0.785)	Data 0.001 (0.023)	Loss 1.9350 (1.9438)	Prec@1 46.875 (50.108)	Prec@5 82.031 (79.517)
Epoch: [61][270/14090]	Time 0.733 (0.785)	Data 0.001 (0.022)	Loss 1.6093 (1.9434)	Prec@1 53.906 (50.086)	Prec@5 86.719 (79.523)
Epoch: [61][280/14090]	Time 0.859 (0.784)	Data 0.001 (0.021)	Loss 1.9202 (1.9393)	Prec@1 48.438 (50.158)	Prec@5 79.688 (79.565)
Epoch: [61][290/14090]	Time 0.728 (0.784)	Data 0.001 (0.020)	Loss 1.7601 (1.9396)	Prec@1 49.219 (50.110)	Prec@5 84.375 (79.572)
Epoch: [61][300/14090]	Time 0.739 (0.783)	Data 0.001 (0.020)	Loss 1.9225 (1.9362)	Prec@1 53.125 (50.197)	Prec@5 78.125 (79.612)
Epoch: [61][310/14090]	Time 0.732 (0.783)	Data 0.001 (0.019)	Loss 2.3180 (1.9376)	Prec@1 40.625 (50.171)	Prec@5 71.875 (79.572)
Epoch: [61][320/14090]	Time 0.726 (0.783)	Data 0.001 (0.019)	Loss 1.8523 (1.9355)	Prec@1 50.781 (50.207)	Prec@5 84.375 (79.627)
Epoch: [61][330/14090]	Time 0.751 (0.783)	Data 0.002 (0.018)	Loss 1.7918 (1.9371)	Prec@1 53.125 (50.205)	Prec@5 82.812 (79.584)
Epoch: [61][340/14090]	Time 0.751 (0.782)	Data 0.001 (0.018)	Loss 2.2985 (1.9382)	Prec@1 43.750 (50.151)	Prec@5 67.188 (79.580)
Epoch: [61][350/14090]	Time 0.902 (0.782)	Data 0.001 (0.017)	Loss 1.8069 (1.9388)	Prec@1 54.688 (50.122)	Prec@5 84.375 (79.558)
Epoch: [61][360/14090]	Time 0.782 (0.782)	Data 0.001 (0.017)	Loss 1.7760 (1.9382)	Prec@1 52.344 (50.106)	Prec@5 85.156 (79.631)
Epoch: [61][370/14090]	Time 0.737 (0.781)	Data 0.001 (0.016)	Loss 1.8039 (1.9372)	Prec@1 57.812 (50.116)	Prec@5 81.250 (79.622)
Epoch: [61][380/14090]	Time 0.737 (0.781)	Data 0.001 (0.016)	Loss 1.8667 (1.9375)	Prec@1 55.469 (50.084)	Prec@5 82.031 (79.640)
Epoch: [61][390/14090]	Time 0.754 (0.781)	Data 0.001 (0.015)	Loss 1.8895 (1.9393)	Prec@1 53.906 (50.016)	Prec@5 82.812 (79.616)
Epoch: [61][400/14090]	Time 0.748 (0.781)	Data 0.001 (0.015)	Loss 1.8017 (1.9378)	Prec@1 50.000 (50.041)	Prec@5 82.812 (79.621)
Epoch: [61][410/14090]	Time 0.729 (0.780)	Data 0.001 (0.015)	Loss 1.7146 (1.9367)	Prec@1 56.250 (50.074)	Prec@5 83.594 (79.653)
Epoch: [61][420/14090]	Time 0.879 (0.780)	Data 0.001 (0.014)	Loss 1.9908 (1.9369)	Prec@1 46.875 (50.039)	Prec@5 79.688 (79.676)
Epoch: [61][430/14090]	Time 0.735 (0.780)	Data 0.001 (0.014)	Loss 1.7616 (1.9346)	Prec@1 54.688 (50.073)	Prec@5 81.250 (79.736)
Epoch: [61][440/14090]	Time 0.732 (0.779)	Data 0.001 (0.014)	Loss 2.1521 (1.9343)	Prec@1 46.875 (50.113)	Prec@5 75.000 (79.750)
Epoch: [61][450/14090]	Time 0.735 (0.779)	Data 0.001 (0.014)	Loss 1.8018 (1.9334)	Prec@1 48.438 (50.095)	Prec@5 82.812 (79.760)
Epoch: [61][460/14090]	Time 0.777 (0.779)	Data 0.001 (0.013)	Loss 1.9633 (1.9351)	Prec@1 53.906 (50.068)	Prec@5 80.469 (79.735)
Epoch: [61][470/14090]	Time 0.721 (0.779)	Data 0.001 (0.013)	Loss 1.8030 (1.9353)	Prec@1 53.125 (50.030)	Prec@5 80.469 (79.737)
Epoch: [61][480/14090]	Time 0.756 (0.778)	Data 0.001 (0.013)	Loss 1.9351 (1.9364)	Prec@1 55.469 (50.042)	Prec@5 75.781 (79.730)
Epoch: [61][490/14090]	Time 0.913 (0.778)	Data 0.001 (0.012)	Loss 2.2175 (1.9363)	Prec@1 42.188 (50.005)	Prec@5 75.000 (79.748)
Epoch: [61][500/14090]	Time 0.764 (0.778)	Data 0.002 (0.012)	Loss 2.0659 (1.9370)	Prec@1 42.969 (49.994)	Prec@5 80.469 (79.733)
Epoch: [61][510/14090]	Time 0.731 (0.778)	Data 0.001 (0.012)	Loss 2.0475 (1.9375)	Prec@1 43.750 (49.988)	Prec@5 81.250 (79.727)
Epoch: [61][520/14090]	Time 0.745 (0.778)	Data 0.001 (0.012)	Loss 1.8714 (1.9381)	Prec@1 50.781 (49.990)	Prec@5 78.125 (79.701)
Epoch: [61][530/14090]	Time 0.758 (0.778)	Data 0.001 (0.012)	Loss 1.7275 (1.9370)	Prec@1 51.562 (50.007)	Prec@5 88.281 (79.718)
Epoch: [61][540/14090]	Time 0.751 (0.778)	Data 0.001 (0.011)	Loss 2.0313 (1.9377)	Prec@1 46.875 (50.017)	Prec@5 75.781 (79.731)
Epoch: [61][550/14090]	Time 0.765 (0.777)	Data 0.001 (0.011)	Loss 2.1892 (1.9381)	Prec@1 46.094 (50.007)	Prec@5 75.000 (79.724)
Epoch: [61][560/14090]	Time 0.830 (0.777)	Data 0.001 (0.011)	Loss 1.6005 (1.9388)	Prec@1 53.125 (49.964)	Prec@5 85.938 (79.713)
Epoch: [61][570/14090]	Time 0.737 (0.777)	Data 0.001 (0.011)	Loss 2.0837 (1.9391)	Prec@1 49.219 (49.975)	Prec@5 75.781 (79.701)
Epoch: [61][580/14090]	Time 0.734 (0.776)	Data 0.001 (0.011)	Loss 2.1523 (1.9403)	Prec@1 39.844 (49.954)	Prec@5 75.000 (79.670)
Epoch: [61][590/14090]	Time 0.768 (0.776)	Data 0.001 (0.011)	Loss 1.8000 (1.9396)	Prec@1 50.781 (49.944)	Prec@5 81.250 (79.684)
Epoch: [61][600/14090]	Time 0.754 (0.776)	Data 0.001 (0.010)	Loss 2.1160 (1.9407)	Prec@1 49.219 (49.939)	Prec@5 74.219 (79.649)
Epoch: [61][610/14090]	Time 0.728 (0.776)	Data 0.001 (0.010)	Loss 1.8523 (1.9409)	Prec@1 50.781 (49.937)	Prec@5 82.812 (79.630)
Epoch: [61][620/14090]	Time 0.768 (0.776)	Data 0.001 (0.010)	Loss 2.1693 (1.9423)	Prec@1 44.531 (49.888)	Prec@5 77.344 (79.594)
Epoch: [61][630/14090]	Time 0.851 (0.776)	Data 0.001 (0.010)	Loss 1.8147 (1.9416)	Prec@1 50.000 (49.894)	Prec@5 84.375 (79.616)
Epoch: [61][640/14090]	Time 0.749 (0.775)	Data 0.001 (0.010)	Loss 1.7236 (1.9413)	Prec@1 57.031 (49.884)	Prec@5 81.250 (79.619)
Epoch: [61][650/14090]	Time 0.724 (0.775)	Data 0.001 (0.010)	Loss 1.9371 (1.9434)	Prec@1 50.000 (49.886)	Prec@5 78.125 (79.595)
Epoch: [61][660/14090]	Time 0.742 (0.775)	Data 0.001 (0.010)	Loss 2.1295 (1.9444)	Prec@1 42.188 (49.855)	Prec@5 74.219 (79.585)
Epoch: [61][670/14090]	Time 0.778 (0.775)	Data 0.001 (0.009)	Loss 2.0220 (1.9439)	Prec@1 46.875 (49.845)	Prec@5 75.000 (79.594)
Epoch: [61][680/14090]	Time 0.737 (0.775)	Data 0.001 (0.009)	Loss 1.8644 (1.9434)	Prec@1 50.000 (49.841)	Prec@5 82.031 (79.603)
Epoch: [61][690/14090]	Time 0.777 (0.775)	Data 0.001 (0.009)	Loss 2.0546 (1.9448)	Prec@1 50.000 (49.822)	Prec@5 82.812 (79.571)
Epoch: [61][700/14090]	Time 0.910 (0.775)	Data 0.001 (0.009)	Loss 1.9493 (1.9453)	Prec@1 45.312 (49.803)	Prec@5 82.812 (79.555)
Epoch: [61][710/14090]	Time 0.748 (0.775)	Data 0.001 (0.009)	Loss 1.8370 (1.9456)	Prec@1 49.219 (49.793)	Prec@5 81.250 (79.570)
Epoch: [61][720/14090]	Time 0.762 (0.775)	Data 0.001 (0.009)	Loss 1.9790 (1.9460)	Prec@1 51.562 (49.782)	Prec@5 78.125 (79.570)
Epoch: [61][730/14090]	Time 0.743 (0.775)	Data 0.001 (0.009)	Loss 1.7976 (1.9437)	Prec@1 54.688 (49.833)	Prec@5 81.250 (79.618)
Epoch: [61][740/14090]	Time 0.733 (0.775)	Data 0.001 (0.009)	Loss 1.9005 (1.9423)	Prec@1 52.344 (49.846)	Prec@5 82.031 (79.663)
Epoch: [61][750/14090]	Time 0.743 (0.775)	Data 0.001 (0.008)	Loss 1.9311 (1.9420)	Prec@1 54.688 (49.838)	Prec@5 78.125 (79.670)
Epoch: [61][760/14090]	Time 0.727 (0.774)	Data 0.001 (0.008)	Loss 1.8585 (1.9422)	Prec@1 48.438 (49.834)	Prec@5 81.250 (79.650)
Epoch: [61][770/14090]	Time 0.820 (0.774)	Data 0.001 (0.008)	Loss 1.8097 (1.9412)	Prec@1 53.125 (49.859)	Prec@5 80.469 (79.669)
Epoch: [61][780/14090]	Time 0.761 (0.774)	Data 0.001 (0.008)	Loss 2.1392 (1.9415)	Prec@1 46.875 (49.851)	Prec@5 72.656 (79.665)
Epoch: [61][790/14090]	Time 0.726 (0.774)	Data 0.001 (0.008)	Loss 1.7847 (1.9411)	Prec@1 51.562 (49.860)	Prec@5 85.156 (79.674)
Epoch: [61][800/14090]	Time 0.733 (0.774)	Data 0.001 (0.008)	Loss 1.9667 (1.9406)	Prec@1 49.219 (49.883)	Prec@5 77.344 (79.689)
Epoch: [61][810/14090]	Time 0.765 (0.774)	Data 0.001 (0.008)	Loss 1.9046 (1.9412)	Prec@1 48.438 (49.881)	Prec@5 81.250 (79.671)
Epoch: [61][820/14090]	Time 0.734 (0.774)	Data 0.001 (0.008)	Loss 1.7196 (1.9402)	Prec@1 55.469 (49.891)	Prec@5 82.812 (79.690)
Epoch: [61][830/14090]	Time 0.741 (0.774)	Data 0.001 (0.008)	Loss 1.7375 (1.9394)	Prec@1 49.219 (49.906)	Prec@5 83.594 (79.701)
Epoch: [61][840/14090]	Time 0.884 (0.774)	Data 0.001 (0.008)	Loss 2.0032 (1.9395)	Prec@1 47.656 (49.912)	Prec@5 78.906 (79.689)
Epoch: [61][850/14090]	Time 0.740 (0.774)	Data 0.001 (0.008)	Loss 2.0241 (1.9390)	Prec@1 51.562 (49.917)	Prec@5 78.125 (79.698)
Epoch: [61][860/14090]	Time 0.756 (0.773)	Data 0.001 (0.008)	Loss 1.5097 (1.9383)	Prec@1 61.719 (49.926)	Prec@5 86.719 (79.707)
Epoch: [61][870/14090]	Time 0.742 (0.774)	Data 0.001 (0.007)	Loss 1.7946 (1.9378)	Prec@1 47.656 (49.931)	Prec@5 84.375 (79.706)
Epoch: [61][880/14090]	Time 0.730 (0.773)	Data 0.001 (0.007)	Loss 2.0004 (1.9374)	Prec@1 51.562 (49.941)	Prec@5 77.344 (79.707)
Epoch: [61][890/14090]	Time 0.756 (0.773)	Data 0.001 (0.007)	Loss 2.0358 (1.9380)	Prec@1 46.094 (49.934)	Prec@5 81.250 (79.698)
Epoch: [61][900/14090]	Time 0.757 (0.773)	Data 0.001 (0.007)	Loss 2.2245 (1.9373)	Prec@1 45.312 (49.946)	Prec@5 77.344 (79.721)
Epoch: [61][910/14090]	Time 0.860 (0.773)	Data 0.001 (0.007)	Loss 1.7959 (1.9372)	Prec@1 53.125 (49.955)	Prec@5 81.250 (79.719)
Epoch: [61][920/14090]	Time 0.728 (0.773)	Data 0.001 (0.007)	Loss 1.9735 (1.9381)	Prec@1 46.875 (49.935)	Prec@5 78.906 (79.696)
Epoch: [61][930/14090]	Time 0.745 (0.773)	Data 0.001 (0.007)	Loss 1.9904 (1.9382)	Prec@1 50.781 (49.938)	Prec@5 76.562 (79.701)
Epoch: [61][940/14090]	Time 0.782 (0.773)	Data 0.001 (0.007)	Loss 1.8100 (1.9374)	Prec@1 51.562 (49.958)	Prec@5 81.250 (79.720)
Epoch: [61][950/14090]	Time 0.737 (0.773)	Data 0.001 (0.007)	Loss 2.0848 (1.9368)	Prec@1 46.094 (49.964)	Prec@5 77.344 (79.726)
Epoch: [61][960/14090]	Time 0.745 (0.773)	Data 0.001 (0.007)	Loss 1.8328 (1.9371)	Prec@1 46.094 (49.965)	Prec@5 85.156 (79.716)
Epoch: [61][970/14090]	Time 0.761 (0.773)	Data 0.001 (0.007)	Loss 1.9885 (1.9371)	Prec@1 48.438 (49.953)	Prec@5 78.125 (79.714)
Epoch: [61][980/14090]	Time 1.053 (0.773)	Data 0.001 (0.007)	Loss 1.7462 (1.9363)	Prec@1 54.688 (49.964)	Prec@5 85.938 (79.735)
Epoch: [61][990/14090]	Time 0.751 (0.773)	Data 0.001 (0.007)	Loss 2.0430 (1.9359)	Prec@1 47.656 (49.980)	Prec@5 77.344 (79.734)
Epoch: [61][1000/14090]	Time 0.739 (0.773)	Data 0.001 (0.007)	Loss 1.7565 (1.9359)	Prec@1 51.562 (49.979)	Prec@5 81.250 (79.730)
Epoch: [61][1010/14090]	Time 0.778 (0.773)	Data 0.001 (0.007)	Loss 2.1392 (1.9362)	Prec@1 42.969 (49.967)	Prec@5 74.219 (79.736)
Epoch: [61][1020/14090]	Time 0.795 (0.773)	Data 0.001 (0.006)	Loss 1.9618 (1.9368)	Prec@1 51.562 (49.959)	Prec@5 78.906 (79.731)
Epoch: [61][1030/14090]	Time 0.754 (0.773)	Data 0.001 (0.006)	Loss 2.0813 (1.9369)	Prec@1 46.094 (49.955)	Prec@5 77.344 (79.739)
Epoch: [61][1040/14090]	Time 0.735 (0.773)	Data 0.001 (0.006)	Loss 1.7138 (1.9372)	Prec@1 58.594 (49.952)	Prec@5 79.688 (79.730)
Epoch: [61][1050/14090]	Time 0.891 (0.773)	Data 0.001 (0.006)	Loss 1.6330 (1.9371)	Prec@1 56.250 (49.959)	Prec@5 85.156 (79.729)
Epoch: [61][1060/14090]	Time 0.749 (0.773)	Data 0.001 (0.006)	Loss 1.9365 (1.9375)	Prec@1 50.781 (49.946)	Prec@5 78.125 (79.728)
Epoch: [61][1070/14090]	Time 0.735 (0.773)	Data 0.001 (0.006)	Loss 1.7685 (1.9378)	Prec@1 50.000 (49.941)	Prec@5 84.375 (79.725)
Epoch: [61][1080/14090]	Time 0.761 (0.773)	Data 0.001 (0.006)	Loss 2.0615 (1.9381)	Prec@1 44.531 (49.926)	Prec@5 78.906 (79.715)
Epoch: [61][1090/14090]	Time 0.759 (0.773)	Data 0.001 (0.006)	Loss 1.9489 (1.9374)	Prec@1 49.219 (49.948)	Prec@5 84.375 (79.734)
Epoch: [61][1100/14090]	Time 0.739 (0.773)	Data 0.001 (0.006)	Loss 2.1542 (1.9373)	Prec@1 47.656 (49.947)	Prec@5 78.125 (79.742)
Epoch: [61][1110/14090]	Time 0.745 (0.772)	Data 0.001 (0.006)	Loss 2.0544 (1.9369)	Prec@1 44.531 (49.954)	Prec@5 74.219 (79.748)
Epoch: [61][1120/14090]	Time 0.899 (0.772)	Data 0.001 (0.006)	Loss 1.7877 (1.9370)	Prec@1 60.938 (49.957)	Prec@5 81.250 (79.747)
Epoch: [61][1130/14090]	Time 0.741 (0.772)	Data 0.001 (0.006)	Loss 1.8912 (1.9367)	Prec@1 48.438 (49.962)	Prec@5 79.688 (79.755)
Epoch: [61][1140/14090]	Time 0.732 (0.772)	Data 0.001 (0.006)	Loss 2.1611 (1.9368)	Prec@1 45.312 (49.961)	Prec@5 71.875 (79.752)
Epoch: [61][1150/14090]	Time 0.759 (0.772)	Data 0.001 (0.006)	Loss 2.0421 (1.9374)	Prec@1 44.531 (49.938)	Prec@5 75.000 (79.750)
Epoch: [61][1160/14090]	Time 0.750 (0.772)	Data 0.001 (0.006)	Loss 2.0509 (1.9380)	Prec@1 48.438 (49.930)	Prec@5 82.031 (79.741)
Epoch: [61][1170/14090]	Time 0.743 (0.772)	Data 0.001 (0.006)	Loss 1.7284 (1.9380)	Prec@1 56.250 (49.917)	Prec@5 82.031 (79.744)
Epoch: [61][1180/14090]	Time 0.736 (0.772)	Data 0.001 (0.006)	Loss 2.0399 (1.9381)	Prec@1 46.094 (49.909)	Prec@5 76.562 (79.746)
Epoch: [61][1190/14090]	Time 0.886 (0.772)	Data 0.001 (0.006)	Loss 2.1628 (1.9385)	Prec@1 42.969 (49.900)	Prec@5 72.656 (79.732)
Epoch: [61][1200/14090]	Time 0.731 (0.772)	Data 0.001 (0.006)	Loss 1.7569 (1.9385)	Prec@1 53.906 (49.899)	Prec@5 82.031 (79.727)
Epoch: [61][1210/14090]	Time 0.729 (0.772)	Data 0.001 (0.006)	Loss 2.1445 (1.9388)	Prec@1 48.438 (49.897)	Prec@5 75.000 (79.718)
Epoch: [61][1220/14090]	Time 0.759 (0.772)	Data 0.001 (0.006)	Loss 2.2218 (1.9393)	Prec@1 46.875 (49.872)	Prec@5 71.094 (79.707)
Epoch: [61][1230/14090]	Time 0.754 (0.772)	Data 0.001 (0.006)	Loss 1.8121 (1.9389)	Prec@1 50.781 (49.888)	Prec@5 78.125 (79.712)
Epoch: [61][1240/14090]	Time 0.780 (0.772)	Data 0.001 (0.005)	Loss 1.5485 (1.9385)	Prec@1 60.938 (49.907)	Prec@5 86.719 (79.723)
Epoch: [61][1250/14090]	Time 0.759 (0.772)	Data 0.001 (0.005)	Loss 2.0252 (1.9383)	Prec@1 52.344 (49.921)	Prec@5 79.688 (79.731)
Epoch: [61][1260/14090]	Time 0.844 (0.772)	Data 0.001 (0.005)	Loss 1.8065 (1.9376)	Prec@1 49.219 (49.941)	Prec@5 82.031 (79.742)
Epoch: [61][1270/14090]	Time 0.753 (0.772)	Data 0.001 (0.005)	Loss 2.2659 (1.9369)	Prec@1 45.312 (49.953)	Prec@5 76.562 (79.759)
Epoch: [61][1280/14090]	Time 0.729 (0.772)	Data 0.001 (0.005)	Loss 1.7931 (1.9367)	Prec@1 54.688 (49.960)	Prec@5 82.812 (79.759)
Epoch: [61][1290/14090]	Time 0.734 (0.772)	Data 0.001 (0.005)	Loss 2.0741 (1.9364)	Prec@1 43.750 (49.959)	Prec@5 75.781 (79.764)
Epoch: [61][1300/14090]	Time 0.752 (0.772)	Data 0.001 (0.005)	Loss 2.2858 (1.9368)	Prec@1 41.406 (49.944)	Prec@5 71.875 (79.757)
Epoch: [61][1310/14090]	Time 0.736 (0.772)	Data 0.001 (0.005)	Loss 1.8954 (1.9369)	Prec@1 57.031 (49.942)	Prec@5 84.375 (79.758)
Epoch: [61][1320/14090]	Time 0.752 (0.772)	Data 0.001 (0.005)	Loss 1.8317 (1.9364)	Prec@1 56.250 (49.946)	Prec@5 76.562 (79.766)
Epoch: [61][1330/14090]	Time 0.895 (0.772)	Data 0.001 (0.005)	Loss 2.0214 (1.9373)	Prec@1 51.562 (49.941)	Prec@5 81.250 (79.751)
Epoch: [61][1340/14090]	Time 0.742 (0.772)	Data 0.001 (0.005)	Loss 1.9882 (1.9369)	Prec@1 50.000 (49.950)	Prec@5 76.562 (79.757)
Epoch: [61][1350/14090]	Time 0.727 (0.772)	Data 0.001 (0.005)	Loss 1.9660 (1.9369)	Prec@1 45.312 (49.946)	Prec@5 80.469 (79.755)
Epoch: [61][1360/14090]	Time 0.764 (0.772)	Data 0.001 (0.005)	Loss 1.8594 (1.9365)	Prec@1 53.906 (49.951)	Prec@5 82.031 (79.762)
Epoch: [61][1370/14090]	Time 0.758 (0.772)	Data 0.001 (0.005)	Loss 2.1909 (1.9368)	Prec@1 39.844 (49.938)	Prec@5 77.344 (79.763)
Epoch: [61][1380/14090]	Time 0.761 (0.772)	Data 0.001 (0.005)	Loss 2.0011 (1.9360)	Prec@1 46.875 (49.958)	Prec@5 77.344 (79.782)
Epoch: [61][1390/14090]	Time 0.746 (0.771)	Data 0.001 (0.005)	Loss 1.8641 (1.9358)	Prec@1 48.438 (49.958)	Prec@5 83.594 (79.789)
Epoch: [61][1400/14090]	Time 0.860 (0.771)	Data 0.001 (0.005)	Loss 1.7920 (1.9355)	Prec@1 50.000 (49.964)	Prec@5 84.375 (79.797)
Epoch: [61][1410/14090]	Time 0.753 (0.771)	Data 0.001 (0.005)	Loss 1.7147 (1.9355)	Prec@1 58.594 (49.962)	Prec@5 82.031 (79.797)
Epoch: [61][1420/14090]	Time 0.745 (0.771)	Data 0.001 (0.005)	Loss 1.6717 (1.9358)	Prec@1 53.906 (49.960)	Prec@5 86.719 (79.788)
Epoch: [61][1430/14090]	Time 0.734 (0.771)	Data 0.001 (0.005)	Loss 1.8646 (1.9357)	Prec@1 48.438 (49.963)	Prec@5 79.688 (79.791)
Epoch: [61][1440/14090]	Time 0.753 (0.771)	Data 0.001 (0.005)	Loss 1.9480 (1.9358)	Prec@1 46.875 (49.960)	Prec@5 79.688 (79.793)
Epoch: [61][1450/14090]	Time 0.762 (0.771)	Data 0.001 (0.005)	Loss 1.9276 (1.9358)	Prec@1 53.906 (49.961)	Prec@5 82.031 (79.797)
Epoch: [61][1460/14090]	Time 0.766 (0.771)	Data 0.001 (0.005)	Loss 1.9892 (1.9360)	Prec@1 42.969 (49.971)	Prec@5 81.250 (79.794)
Epoch: [61][1470/14090]	Time 0.855 (0.771)	Data 0.001 (0.005)	Loss 2.1263 (1.9362)	Prec@1 42.188 (49.965)	Prec@5 74.219 (79.784)
Epoch: [61][1480/14090]	Time 0.784 (0.771)	Data 0.001 (0.005)	Loss 1.8657 (1.9362)	Prec@1 54.688 (49.968)	Prec@5 85.938 (79.791)
Epoch: [61][1490/14090]	Time 0.748 (0.771)	Data 0.001 (0.005)	Loss 1.7710 (1.9362)	Prec@1 51.562 (49.970)	Prec@5 80.469 (79.790)
Epoch: [61][1500/14090]	Time 0.734 (0.771)	Data 0.001 (0.005)	Loss 2.1617 (1.9362)	Prec@1 43.750 (49.963)	Prec@5 78.906 (79.787)
Epoch: [61][1510/14090]	Time 0.776 (0.771)	Data 0.001 (0.005)	Loss 1.9158 (1.9363)	Prec@1 52.344 (49.965)	Prec@5 76.562 (79.775)
Epoch: [61][1520/14090]	Time 0.734 (0.771)	Data 0.001 (0.005)	Loss 2.1509 (1.9363)	Prec@1 48.438 (49.971)	Prec@5 78.125 (79.779)
Epoch: [61][1530/14090]	Time 0.726 (0.771)	Data 0.001 (0.005)	Loss 1.9514 (1.9356)	Prec@1 56.250 (49.991)	Prec@5 78.906 (79.794)
Epoch: [61][1540/14090]	Time 0.828 (0.771)	Data 0.001 (0.005)	Loss 2.2401 (1.9353)	Prec@1 43.750 (50.003)	Prec@5 75.000 (79.798)
Epoch: [61][1550/14090]	Time 0.739 (0.771)	Data 0.001 (0.005)	Loss 2.1642 (1.9356)	Prec@1 42.188 (49.994)	Prec@5 72.656 (79.795)
Epoch: [61][1560/14090]	Time 0.775 (0.771)	Data 0.001 (0.005)	Loss 2.0077 (1.9354)	Prec@1 46.094 (50.002)	Prec@5 79.688 (79.794)
Epoch: [61][1570/14090]	Time 0.736 (0.771)	Data 0.001 (0.005)	Loss 2.0035 (1.9355)	Prec@1 50.781 (49.996)	Prec@5 75.781 (79.791)
Epoch: [61][1580/14090]	Time 0.738 (0.771)	Data 0.001 (0.005)	Loss 1.9192 (1.9354)	Prec@1 50.781 (49.993)	Prec@5 82.031 (79.796)
Epoch: [61][1590/14090]	Time 0.751 (0.771)	Data 0.001 (0.004)	Loss 2.1013 (1.9358)	Prec@1 42.969 (49.980)	Prec@5 77.344 (79.794)
Epoch: [61][1600/14090]	Time 0.750 (0.771)	Data 0.001 (0.004)	Loss 1.9265 (1.9362)	Prec@1 49.219 (49.975)	Prec@5 79.688 (79.789)
Epoch: [61][1610/14090]	Time 0.921 (0.771)	Data 0.001 (0.004)	Loss 1.5888 (1.9356)	Prec@1 56.250 (49.996)	Prec@5 84.375 (79.798)
Epoch: [61][1620/14090]	Time 0.763 (0.771)	Data 0.001 (0.004)	Loss 1.9435 (1.9354)	Prec@1 44.531 (49.990)	Prec@5 78.125 (79.799)
Epoch: [61][1630/14090]	Time 0.756 (0.771)	Data 0.001 (0.004)	Loss 1.9238 (1.9356)	Prec@1 50.781 (49.986)	Prec@5 80.469 (79.799)
Epoch: [61][1640/14090]	Time 0.752 (0.771)	Data 0.001 (0.004)	Loss 1.9447 (1.9351)	Prec@1 51.562 (49.992)	Prec@5 80.469 (79.802)
Epoch: [61][1650/14090]	Time 0.783 (0.771)	Data 0.001 (0.004)	Loss 1.8795 (1.9349)	Prec@1 52.344 (49.996)	Prec@5 78.125 (79.811)
Epoch: [61][1660/14090]	Time 0.757 (0.771)	Data 0.001 (0.004)	Loss 1.8497 (1.9349)	Prec@1 50.000 (49.994)	Prec@5 80.469 (79.812)
Epoch: [61][1670/14090]	Time 0.761 (0.771)	Data 0.001 (0.004)	Loss 1.8051 (1.9354)	Prec@1 47.656 (49.978)	Prec@5 81.250 (79.794)
Epoch: [61][1680/14090]	Time 0.869 (0.771)	Data 0.001 (0.004)	Loss 2.2272 (1.9356)	Prec@1 47.656 (49.971)	Prec@5 76.562 (79.793)
Epoch: [61][1690/14090]	Time 0.758 (0.771)	Data 0.001 (0.004)	Loss 1.8754 (1.9358)	Prec@1 46.094 (49.965)	Prec@5 78.125 (79.788)
Epoch: [61][1700/14090]	Time 0.783 (0.771)	Data 0.001 (0.004)	Loss 1.9539 (1.9364)	Prec@1 47.656 (49.952)	Prec@5 81.250 (79.786)
Epoch: [61][1710/14090]	Time 0.747 (0.771)	Data 0.001 (0.004)	Loss 1.7930 (1.9364)	Prec@1 56.250 (49.949)	Prec@5 82.031 (79.782)
Epoch: [61][1720/14090]	Time 0.752 (0.771)	Data 0.001 (0.004)	Loss 1.9029 (1.9363)	Prec@1 53.906 (49.950)	Prec@5 74.219 (79.787)
Epoch: [61][1730/14090]	Time 0.731 (0.771)	Data 0.001 (0.004)	Loss 2.0260 (1.9359)	Prec@1 51.562 (49.958)	Prec@5 72.656 (79.791)
Epoch: [61][1740/14090]	Time 0.755 (0.771)	Data 0.001 (0.004)	Loss 1.6872 (1.9360)	Prec@1 50.000 (49.956)	Prec@5 82.031 (79.787)
Epoch: [61][1750/14090]	Time 0.864 (0.771)	Data 0.001 (0.004)	Loss 1.7076 (1.9360)	Prec@1 60.156 (49.965)	Prec@5 83.594 (79.793)
Epoch: [61][1760/14090]	Time 0.777 (0.771)	Data 0.001 (0.004)	Loss 1.9177 (1.9360)	Prec@1 50.000 (49.970)	Prec@5 80.469 (79.790)
Epoch: [61][1770/14090]	Time 0.728 (0.771)	Data 0.002 (0.004)	Loss 1.8791 (1.9357)	Prec@1 53.125 (49.979)	Prec@5 81.250 (79.801)
Epoch: [61][1780/14090]	Time 0.784 (0.771)	Data 0.001 (0.004)	Loss 1.9307 (1.9358)	Prec@1 47.656 (49.971)	Prec@5 82.031 (79.796)
Epoch: [61][1790/14090]	Time 0.749 (0.771)	Data 0.001 (0.004)	Loss 2.0262 (1.9360)	Prec@1 55.469 (49.969)	Prec@5 80.469 (79.795)
Epoch: [61][1800/14090]	Time 0.757 (0.771)	Data 0.001 (0.004)	Loss 1.9460 (1.9362)	Prec@1 50.000 (49.971)	Prec@5 78.906 (79.796)
Epoch: [61][1810/14090]	Time 0.723 (0.771)	Data 0.001 (0.004)	Loss 1.9526 (1.9365)	Prec@1 43.750 (49.957)	Prec@5 82.031 (79.792)
Epoch: [61][1820/14090]	Time 0.871 (0.771)	Data 0.001 (0.004)	Loss 2.0845 (1.9363)	Prec@1 44.531 (49.959)	Prec@5 72.656 (79.794)
Epoch: [61][1830/14090]	Time 0.765 (0.771)	Data 0.001 (0.004)	Loss 2.1087 (1.9370)	Prec@1 50.000 (49.951)	Prec@5 75.781 (79.778)
Epoch: [61][1840/14090]	Time 0.745 (0.771)	Data 0.001 (0.004)	Loss 2.0957 (1.9374)	Prec@1 46.094 (49.947)	Prec@5 78.125 (79.774)
Epoch: [61][1850/14090]	Time 0.769 (0.771)	Data 0.001 (0.004)	Loss 1.9603 (1.9373)	Prec@1 50.781 (49.951)	Prec@5 78.906 (79.773)
Epoch: [61][1860/14090]	Time 0.763 (0.771)	Data 0.001 (0.004)	Loss 1.9279 (1.9370)	Prec@1 46.094 (49.949)	Prec@5 78.906 (79.774)
Epoch: [61][1870/14090]	Time 0.738 (0.771)	Data 0.001 (0.004)	Loss 1.8727 (1.9372)	Prec@1 51.562 (49.952)	Prec@5 82.031 (79.774)
Epoch: [61][1880/14090]	Time 0.785 (0.771)	Data 0.001 (0.004)	Loss 1.9826 (1.9372)	Prec@1 46.094 (49.954)	Prec@5 74.219 (79.777)
Epoch: [61][1890/14090]	Time 0.916 (0.771)	Data 0.001 (0.004)	Loss 2.2236 (1.9372)	Prec@1 44.531 (49.958)	Prec@5 77.344 (79.775)
Epoch: [61][1900/14090]	Time 0.757 (0.771)	Data 0.001 (0.004)	Loss 1.9725 (1.9374)	Prec@1 50.781 (49.955)	Prec@5 78.906 (79.768)
Epoch: [61][1910/14090]	Time 0.727 (0.771)	Data 0.001 (0.004)	Loss 1.8013 (1.9376)	Prec@1 50.000 (49.946)	Prec@5 81.250 (79.766)
Epoch: [61][1920/14090]	Time 0.729 (0.771)	Data 0.001 (0.004)	Loss 2.0120 (1.9378)	Prec@1 50.000 (49.941)	Prec@5 79.688 (79.763)
Epoch: [61][1930/14090]	Time 0.756 (0.771)	Data 0.001 (0.004)	Loss 2.0202 (1.9379)	Prec@1 49.219 (49.935)	Prec@5 77.344 (79.762)
Epoch: [61][1940/14090]	Time 0.768 (0.771)	Data 0.001 (0.004)	Loss 1.7057 (1.9376)	Prec@1 52.344 (49.942)	Prec@5 82.812 (79.768)
Epoch: [61][1950/14090]	Time 0.758 (0.771)	Data 0.001 (0.004)	Loss 2.2766 (1.9371)	Prec@1 44.531 (49.960)	Prec@5 77.344 (79.776)
Epoch: [61][1960/14090]	Time 0.867 (0.771)	Data 0.001 (0.004)	Loss 1.9090 (1.9373)	Prec@1 49.219 (49.954)	Prec@5 78.906 (79.774)
Epoch: [61][1970/14090]	Time 0.733 (0.770)	Data 0.001 (0.004)	Loss 2.1824 (1.9373)	Prec@1 45.312 (49.959)	Prec@5 74.219 (79.772)
Epoch: [61][1980/14090]	Time 0.755 (0.770)	Data 0.001 (0.004)	Loss 2.1190 (1.9372)	Prec@1 42.969 (49.950)	Prec@5 75.781 (79.775)
Epoch: [61][1990/14090]	Time 0.740 (0.770)	Data 0.001 (0.004)	Loss 2.0565 (1.9376)	Prec@1 53.906 (49.945)	Prec@5 76.562 (79.763)
Epoch: [61][2000/14090]	Time 0.772 (0.770)	Data 0.001 (0.004)	Loss 1.7817 (1.9373)	Prec@1 51.562 (49.953)	Prec@5 80.469 (79.766)
Epoch: [61][2010/14090]	Time 0.759 (0.770)	Data 0.001 (0.004)	Loss 2.0870 (1.9378)	Prec@1 46.094 (49.941)	Prec@5 76.562 (79.764)
Epoch: [61][2020/14090]	Time 0.750 (0.770)	Data 0.001 (0.004)	Loss 1.9235 (1.9377)	Prec@1 49.219 (49.945)	Prec@5 78.906 (79.769)
Epoch: [61][2030/14090]	Time 0.833 (0.770)	Data 0.001 (0.004)	Loss 2.2648 (1.9378)	Prec@1 42.969 (49.939)	Prec@5 75.000 (79.765)
Epoch: [61][2040/14090]	Time 0.752 (0.770)	Data 0.001 (0.004)	Loss 2.0127 (1.9379)	Prec@1 52.344 (49.940)	Prec@5 77.344 (79.768)
Epoch: [61][2050/14090]	Time 0.746 (0.770)	Data 0.001 (0.004)	Loss 1.9468 (1.9380)	Prec@1 51.562 (49.934)	Prec@5 78.906 (79.769)
Epoch: [61][2060/14090]	Time 0.737 (0.770)	Data 0.001 (0.004)	Loss 2.0712 (1.9378)	Prec@1 48.438 (49.936)	Prec@5 78.906 (79.770)
Epoch: [61][2070/14090]	Time 0.762 (0.770)	Data 0.001 (0.004)	Loss 2.0338 (1.9374)	Prec@1 50.781 (49.947)	Prec@5 75.000 (79.770)
Epoch: [61][2080/14090]	Time 0.752 (0.770)	Data 0.001 (0.004)	Loss 2.1142 (1.9373)	Prec@1 41.406 (49.949)	Prec@5 80.469 (79.776)
Epoch: [61][2090/14090]	Time 0.758 (0.770)	Data 0.001 (0.004)	Loss 2.0929 (1.9371)	Prec@1 43.750 (49.947)	Prec@5 78.125 (79.785)
Epoch: [61][2100/14090]	Time 0.880 (0.770)	Data 0.001 (0.004)	Loss 1.8090 (1.9370)	Prec@1 53.125 (49.951)	Prec@5 84.375 (79.795)
Epoch: [61][2110/14090]	Time 0.744 (0.770)	Data 0.001 (0.004)	Loss 1.8308 (1.9369)	Prec@1 55.469 (49.956)	Prec@5 82.812 (79.796)
Epoch: [61][2120/14090]	Time 0.728 (0.770)	Data 0.001 (0.004)	Loss 1.6313 (1.9366)	Prec@1 56.250 (49.960)	Prec@5 83.594 (79.802)
Epoch: [61][2130/14090]	Time 0.773 (0.770)	Data 0.001 (0.004)	Loss 2.0202 (1.9368)	Prec@1 50.781 (49.956)	Prec@5 76.562 (79.803)
Epoch: [61][2140/14090]	Time 0.778 (0.770)	Data 0.001 (0.004)	Loss 2.0217 (1.9367)	Prec@1 52.344 (49.960)	Prec@5 75.000 (79.803)
Epoch: [61][2150/14090]	Time 0.728 (0.770)	Data 0.001 (0.004)	Loss 1.7082 (1.9365)	Prec@1 52.344 (49.968)	Prec@5 82.812 (79.809)
Epoch: [61][2160/14090]	Time 0.778 (0.770)	Data 0.001 (0.004)	Loss 1.9698 (1.9361)	Prec@1 44.531 (49.978)	Prec@5 77.344 (79.813)
Epoch: [61][2170/14090]	Time 0.913 (0.770)	Data 0.001 (0.004)	Loss 1.9088 (1.9362)	Prec@1 43.750 (49.982)	Prec@5 85.156 (79.813)
Epoch: [61][2180/14090]	Time 0.752 (0.770)	Data 0.001 (0.004)	Loss 2.0336 (1.9363)	Prec@1 53.906 (49.989)	Prec@5 81.250 (79.813)
Epoch: [61][2190/14090]	Time 0.774 (0.770)	Data 0.001 (0.004)	Loss 1.9600 (1.9366)	Prec@1 50.000 (49.985)	Prec@5 75.781 (79.805)
Epoch: [61][2200/14090]	Time 0.739 (0.770)	Data 0.001 (0.003)	Loss 1.8124 (1.9365)	Prec@1 56.250 (49.992)	Prec@5 82.031 (79.804)
Epoch: [61][2210/14090]	Time 0.770 (0.770)	Data 0.001 (0.003)	Loss 1.8048 (1.9364)	Prec@1 52.344 (49.990)	Prec@5 82.031 (79.807)
Epoch: [61][2220/14090]	Time 0.740 (0.770)	Data 0.001 (0.003)	Loss 1.8998 (1.9366)	Prec@1 51.562 (49.979)	Prec@5 84.375 (79.811)
Epoch: [61][2230/14090]	Time 0.737 (0.770)	Data 0.001 (0.003)	Loss 2.2387 (1.9365)	Prec@1 42.188 (49.978)	Prec@5 75.000 (79.815)
Epoch: [61][2240/14090]	Time 0.956 (0.770)	Data 0.001 (0.003)	Loss 1.7503 (1.9365)	Prec@1 52.344 (49.980)	Prec@5 78.125 (79.819)
Epoch: [61][2250/14090]	Time 0.750 (0.770)	Data 0.001 (0.003)	Loss 1.8603 (1.9366)	Prec@1 51.562 (49.985)	Prec@5 82.812 (79.815)
Epoch: [61][2260/14090]	Time 0.742 (0.770)	Data 0.001 (0.003)	Loss 2.1446 (1.9366)	Prec@1 42.969 (49.988)	Prec@5 78.125 (79.816)
Epoch: [61][2270/14090]	Time 0.747 (0.770)	Data 0.001 (0.003)	Loss 1.6958 (1.9365)	Prec@1 61.719 (49.992)	Prec@5 83.594 (79.823)
Epoch: [61][2280/14090]	Time 0.759 (0.770)	Data 0.001 (0.003)	Loss 1.8701 (1.9363)	Prec@1 52.344 (49.997)	Prec@5 82.031 (79.823)
Epoch: [61][2290/14090]	Time 0.728 (0.770)	Data 0.001 (0.003)	Loss 2.0781 (1.9361)	Prec@1 42.969 (49.999)	Prec@5 79.688 (79.824)
Epoch: [61][2300/14090]	Time 0.742 (0.770)	Data 0.001 (0.003)	Loss 2.0277 (1.9361)	Prec@1 53.125 (50.010)	Prec@5 75.781 (79.828)
Epoch: [61][2310/14090]	Time 0.873 (0.770)	Data 0.001 (0.003)	Loss 1.9644 (1.9363)	Prec@1 53.906 (50.006)	Prec@5 79.688 (79.826)
Epoch: [61][2320/14090]	Time 0.735 (0.770)	Data 0.001 (0.003)	Loss 2.0983 (1.9363)	Prec@1 46.094 (50.003)	Prec@5 75.781 (79.827)
Epoch: [61][2330/14090]	Time 0.755 (0.770)	Data 0.001 (0.003)	Loss 1.8864 (1.9364)	Prec@1 50.781 (49.997)	Prec@5 82.812 (79.830)
Epoch: [61][2340/14090]	Time 0.773 (0.770)	Data 0.001 (0.003)	Loss 1.9474 (1.9361)	Prec@1 50.000 (49.997)	Prec@5 82.812 (79.839)
Epoch: [61][2350/14090]	Time 0.780 (0.770)	Data 0.001 (0.003)	Loss 1.8841 (1.9360)	Prec@1 50.000 (49.993)	Prec@5 79.688 (79.839)
Epoch: [61][2360/14090]	Time 0.725 (0.770)	Data 0.001 (0.003)	Loss 1.9616 (1.9361)	Prec@1 49.219 (49.987)	Prec@5 78.906 (79.838)
Epoch: [61][2370/14090]	Time 0.744 (0.770)	Data 0.001 (0.003)	Loss 2.1263 (1.9363)	Prec@1 42.188 (49.985)	Prec@5 76.562 (79.834)
Epoch: [61][2380/14090]	Time 0.834 (0.770)	Data 0.001 (0.003)	Loss 2.1533 (1.9365)	Prec@1 46.875 (49.974)	Prec@5 75.781 (79.829)
Epoch: [61][2390/14090]	Time 0.731 (0.770)	Data 0.001 (0.003)	Loss 1.8741 (1.9364)	Prec@1 52.344 (49.982)	Prec@5 84.375 (79.831)
Epoch: [61][2400/14090]	Time 0.748 (0.770)	Data 0.001 (0.003)	Loss 2.0316 (1.9364)	Prec@1 53.125 (49.989)	Prec@5 75.781 (79.828)
Epoch: [61][2410/14090]	Time 0.758 (0.770)	Data 0.005 (0.003)	Loss 2.0006 (1.9366)	Prec@1 47.656 (49.991)	Prec@5 78.125 (79.823)
Epoch: [61][2420/14090]	Time 0.716 (0.770)	Data 0.001 (0.003)	Loss 1.7341 (1.9368)	Prec@1 53.125 (49.987)	Prec@5 80.469 (79.818)
Epoch: [61][2430/14090]	Time 0.753 (0.770)	Data 0.001 (0.003)	Loss 2.1483 (1.9366)	Prec@1 46.094 (49.994)	Prec@5 76.562 (79.826)
Epoch: [61][2440/14090]	Time 0.738 (0.770)	Data 0.001 (0.003)	Loss 1.8724 (1.9365)	Prec@1 50.781 (49.992)	Prec@5 83.594 (79.830)
Epoch: [61][2450/14090]	Time 0.901 (0.770)	Data 0.001 (0.003)	Loss 2.0947 (1.9364)	Prec@1 50.000 (49.990)	Prec@5 77.344 (79.830)
Epoch: [61][2460/14090]	Time 0.770 (0.770)	Data 0.001 (0.003)	Loss 1.9008 (1.9366)	Prec@1 50.781 (49.985)	Prec@5 80.469 (79.829)
Epoch: [61][2470/14090]	Time 0.730 (0.769)	Data 0.001 (0.003)	Loss 1.9112 (1.9366)	Prec@1 57.812 (49.987)	Prec@5 80.469 (79.831)
Epoch: [61][2480/14090]	Time 0.743 (0.770)	Data 0.001 (0.003)	Loss 1.8645 (1.9366)	Prec@1 49.219 (49.988)	Prec@5 82.812 (79.832)
Epoch: [61][2490/14090]	Time 0.744 (0.769)	Data 0.001 (0.003)	Loss 1.6445 (1.9368)	Prec@1 57.812 (49.990)	Prec@5 87.500 (79.828)
Epoch: [61][2500/14090]	Time 0.765 (0.770)	Data 0.001 (0.003)	Loss 2.1740 (1.9370)	Prec@1 46.094 (49.983)	Prec@5 74.219 (79.821)
Epoch: [61][2510/14090]	Time 0.723 (0.770)	Data 0.003 (0.003)	Loss 1.8659 (1.9370)	Prec@1 52.344 (49.985)	Prec@5 82.031 (79.820)
Epoch: [61][2520/14090]	Time 0.905 (0.770)	Data 0.001 (0.003)	Loss 1.9270 (1.9371)	Prec@1 46.094 (49.983)	Prec@5 81.250 (79.820)
Epoch: [61][2530/14090]	Time 0.752 (0.770)	Data 0.001 (0.003)	Loss 2.0551 (1.9372)	Prec@1 52.344 (49.989)	Prec@5 79.688 (79.818)
Epoch: [61][2540/14090]	Time 0.750 (0.769)	Data 0.001 (0.003)	Loss 2.2550 (1.9372)	Prec@1 37.500 (49.986)	Prec@5 78.906 (79.820)
Epoch: [61][2550/14090]	Time 0.735 (0.769)	Data 0.001 (0.003)	Loss 2.0601 (1.9369)	Prec@1 50.000 (49.998)	Prec@5 77.344 (79.823)
Epoch: [61][2560/14090]	Time 0.735 (0.769)	Data 0.001 (0.003)	Loss 1.9879 (1.9373)	Prec@1 46.094 (49.993)	Prec@5 75.781 (79.819)
Epoch: [61][2570/14090]	Time 0.756 (0.769)	Data 0.001 (0.003)	Loss 1.9714 (1.9374)	Prec@1 47.656 (49.989)	Prec@5 74.219 (79.811)
Epoch: [61][2580/14090]	Time 0.757 (0.769)	Data 0.001 (0.003)	Loss 2.0457 (1.9374)	Prec@1 45.312 (49.991)	Prec@5 76.562 (79.807)
Epoch: [61][2590/14090]	Time 0.858 (0.769)	Data 0.001 (0.003)	Loss 1.9741 (1.9373)	Prec@1 52.344 (49.992)	Prec@5 82.812 (79.812)
Epoch: [61][2600/14090]	Time 0.733 (0.769)	Data 0.001 (0.003)	Loss 1.5215 (1.9370)	Prec@1 63.281 (50.003)	Prec@5 82.031 (79.818)
Epoch: [61][2610/14090]	Time 0.755 (0.769)	Data 0.001 (0.003)	Loss 1.8490 (1.9371)	Prec@1 52.344 (49.997)	Prec@5 82.031 (79.817)
Epoch: [61][2620/14090]	Time 0.739 (0.769)	Data 0.001 (0.003)	Loss 1.6476 (1.9369)	Prec@1 50.000 (49.998)	Prec@5 89.062 (79.820)
Epoch: [61][2630/14090]	Time 0.766 (0.769)	Data 0.001 (0.003)	Loss 2.0013 (1.9369)	Prec@1 46.094 (50.003)	Prec@5 78.125 (79.823)
Epoch: [61][2640/14090]	Time 0.762 (0.769)	Data 0.001 (0.003)	Loss 1.8886 (1.9365)	Prec@1 50.781 (50.012)	Prec@5 83.594 (79.827)
Epoch: [61][2650/14090]	Time 0.751 (0.769)	Data 0.001 (0.003)	Loss 2.2176 (1.9366)	Prec@1 42.969 (50.008)	Prec@5 74.219 (79.824)
Epoch: [61][2660/14090]	Time 0.860 (0.769)	Data 0.001 (0.003)	Loss 2.1969 (1.9369)	Prec@1 48.438 (50.004)	Prec@5 73.438 (79.818)
Epoch: [61][2670/14090]	Time 0.775 (0.769)	Data 0.001 (0.003)	Loss 1.9471 (1.9371)	Prec@1 51.562 (49.999)	Prec@5 80.469 (79.815)
Epoch: [61][2680/14090]	Time 0.751 (0.769)	Data 0.001 (0.003)	Loss 1.7898 (1.9371)	Prec@1 49.219 (49.991)	Prec@5 81.250 (79.815)
Epoch: [61][2690/14090]	Time 0.755 (0.769)	Data 0.001 (0.003)	Loss 2.3040 (1.9371)	Prec@1 39.844 (49.989)	Prec@5 71.875 (79.813)
Epoch: [61][2700/14090]	Time 0.758 (0.769)	Data 0.001 (0.003)	Loss 2.1241 (1.9375)	Prec@1 45.312 (49.981)	Prec@5 78.906 (79.807)
Epoch: [61][2710/14090]	Time 0.747 (0.769)	Data 0.001 (0.003)	Loss 1.8183 (1.9373)	Prec@1 55.469 (49.990)	Prec@5 82.812 (79.807)
Epoch: [61][2720/14090]	Time 0.732 (0.769)	Data 0.001 (0.003)	Loss 2.0060 (1.9372)	Prec@1 45.312 (49.992)	Prec@5 77.344 (79.804)
Epoch: [61][2730/14090]	Time 0.861 (0.769)	Data 0.001 (0.003)	Loss 1.8933 (1.9371)	Prec@1 51.562 (49.993)	Prec@5 77.344 (79.802)
Epoch: [61][2740/14090]	Time 0.746 (0.769)	Data 0.001 (0.003)	Loss 1.7799 (1.9370)	Prec@1 51.562 (49.993)	Prec@5 82.812 (79.803)
Epoch: [61][2750/14090]	Time 0.753 (0.769)	Data 0.001 (0.003)	Loss 2.1266 (1.9370)	Prec@1 45.312 (49.996)	Prec@5 77.344 (79.805)
Epoch: [61][2760/14090]	Time 0.752 (0.769)	Data 0.001 (0.003)	Loss 1.8416 (1.9372)	Prec@1 53.125 (49.992)	Prec@5 82.812 (79.803)
Epoch: [61][2770/14090]	Time 0.770 (0.769)	Data 0.001 (0.003)	Loss 1.8356 (1.9369)	Prec@1 56.250 (49.996)	Prec@5 83.594 (79.808)
Epoch: [61][2780/14090]	Time 0.764 (0.769)	Data 0.002 (0.003)	Loss 2.1239 (1.9371)	Prec@1 50.000 (49.996)	Prec@5 74.219 (79.799)
Epoch: [61][2790/14090]	Time 0.758 (0.769)	Data 0.001 (0.003)	Loss 1.8659 (1.9373)	Prec@1 52.344 (49.994)	Prec@5 80.469 (79.796)
Epoch: [61][2800/14090]	Time 0.870 (0.769)	Data 0.001 (0.003)	Loss 2.1378 (1.9375)	Prec@1 42.969 (49.993)	Prec@5 71.094 (79.791)
Epoch: [61][2810/14090]	Time 0.726 (0.769)	Data 0.001 (0.003)	Loss 1.6155 (1.9372)	Prec@1 55.469 (50.001)	Prec@5 85.938 (79.798)
Epoch: [61][2820/14090]	Time 0.722 (0.769)	Data 0.001 (0.003)	Loss 1.8361 (1.9371)	Prec@1 50.000 (50.005)	Prec@5 83.594 (79.801)
Epoch: [61][2830/14090]	Time 0.754 (0.769)	Data 0.001 (0.003)	Loss 1.7775 (1.9371)	Prec@1 51.562 (50.002)	Prec@5 84.375 (79.801)
Epoch: [61][2840/14090]	Time 0.770 (0.769)	Data 0.001 (0.003)	Loss 1.9064 (1.9372)	Prec@1 50.781 (49.999)	Prec@5 78.906 (79.800)
Epoch: [61][2850/14090]	Time 0.739 (0.769)	Data 0.001 (0.003)	Loss 2.3132 (1.9373)	Prec@1 41.406 (49.996)	Prec@5 73.438 (79.794)
Epoch: [61][2860/14090]	Time 0.777 (0.769)	Data 0.001 (0.003)	Loss 1.9451 (1.9374)	Prec@1 47.656 (49.989)	Prec@5 81.250 (79.795)
Epoch: [61][2870/14090]	Time 0.872 (0.769)	Data 0.003 (0.003)	Loss 2.1689 (1.9376)	Prec@1 40.625 (49.987)	Prec@5 76.562 (79.789)
Epoch: [61][2880/14090]	Time 0.748 (0.769)	Data 0.001 (0.003)	Loss 2.0840 (1.9376)	Prec@1 50.000 (49.987)	Prec@5 74.219 (79.785)
Epoch: [61][2890/14090]	Time 0.725 (0.769)	Data 0.001 (0.003)	Loss 1.6913 (1.9375)	Prec@1 52.344 (49.985)	Prec@5 84.375 (79.789)
Epoch: [61][2900/14090]	Time 0.765 (0.769)	Data 0.001 (0.003)	Loss 1.7244 (1.9373)	Prec@1 53.906 (49.987)	Prec@5 83.594 (79.795)
Epoch: [61][2910/14090]	Time 0.732 (0.769)	Data 0.001 (0.003)	Loss 1.8317 (1.9371)	Prec@1 48.438 (49.987)	Prec@5 79.688 (79.796)
Epoch: [61][2920/14090]	Time 0.758 (0.769)	Data 0.001 (0.003)	Loss 1.8526 (1.9373)	Prec@1 53.125 (49.984)	Prec@5 80.469 (79.792)
Epoch: [61][2930/14090]	Time 0.755 (0.769)	Data 0.001 (0.003)	Loss 1.8694 (1.9374)	Prec@1 50.000 (49.987)	Prec@5 79.688 (79.791)
Epoch: [61][2940/14090]	Time 0.875 (0.769)	Data 0.001 (0.003)	Loss 1.9043 (1.9373)	Prec@1 53.906 (49.988)	Prec@5 79.688 (79.792)
Epoch: [61][2950/14090]	Time 0.761 (0.769)	Data 0.001 (0.003)	Loss 2.1952 (1.9373)	Prec@1 42.969 (49.984)	Prec@5 75.781 (79.795)
Epoch: [61][2960/14090]	Time 0.738 (0.769)	Data 0.001 (0.003)	Loss 1.8740 (1.9370)	Prec@1 48.438 (49.989)	Prec@5 84.375 (79.801)
Epoch: [61][2970/14090]	Time 0.788 (0.769)	Data 0.001 (0.003)	Loss 1.7515 (1.9368)	Prec@1 52.344 (49.987)	Prec@5 78.906 (79.802)
Epoch: [61][2980/14090]	Time 0.746 (0.769)	Data 0.001 (0.003)	Loss 1.9272 (1.9368)	Prec@1 50.781 (49.985)	Prec@5 78.125 (79.803)
Epoch: [61][2990/14090]	Time 0.755 (0.769)	Data 0.001 (0.003)	Loss 2.0173 (1.9367)	Prec@1 47.656 (49.991)	Prec@5 80.469 (79.805)
Epoch: [61][3000/14090]	Time 0.752 (0.769)	Data 0.001 (0.003)	Loss 1.7073 (1.9368)	Prec@1 56.250 (49.990)	Prec@5 82.812 (79.804)
Epoch: [61][3010/14090]	Time 0.866 (0.769)	Data 0.001 (0.003)	Loss 1.9828 (1.9368)	Prec@1 49.219 (49.994)	Prec@5 76.562 (79.804)
Epoch: [61][3020/14090]	Time 0.762 (0.769)	Data 0.001 (0.003)	Loss 2.0349 (1.9369)	Prec@1 44.531 (49.993)	Prec@5 78.906 (79.802)
Epoch: [61][3030/14090]	Time 0.760 (0.769)	Data 0.001 (0.003)	Loss 1.9376 (1.9370)	Prec@1 46.875 (49.989)	Prec@5 81.250 (79.803)
Epoch: [61][3040/14090]	Time 0.742 (0.769)	Data 0.001 (0.003)	Loss 1.7720 (1.9370)	Prec@1 53.906 (49.989)	Prec@5 78.906 (79.804)
Epoch: [61][3050/14090]	Time 0.749 (0.769)	Data 0.001 (0.003)	Loss 1.9131 (1.9370)	Prec@1 53.906 (49.986)	Prec@5 78.906 (79.804)
Epoch: [61][3060/14090]	Time 0.741 (0.769)	Data 0.001 (0.003)	Loss 2.0747 (1.9371)	Prec@1 46.875 (49.978)	Prec@5 75.000 (79.801)
Epoch: [61][3070/14090]	Time 0.733 (0.769)	Data 0.001 (0.003)	Loss 1.7735 (1.9372)	Prec@1 55.469 (49.984)	Prec@5 80.469 (79.802)
Epoch: [61][3080/14090]	Time 0.878 (0.769)	Data 0.001 (0.003)	Loss 2.0625 (1.9371)	Prec@1 46.094 (49.985)	Prec@5 79.688 (79.810)
Epoch: [61][3090/14090]	Time 0.770 (0.769)	Data 0.001 (0.003)	Loss 2.0387 (1.9372)	Prec@1 44.531 (49.980)	Prec@5 78.906 (79.807)
Epoch: [61][3100/14090]	Time 0.766 (0.769)	Data 0.001 (0.003)	Loss 2.2811 (1.9372)	Prec@1 51.562 (49.979)	Prec@5 75.781 (79.806)
Epoch: [61][3110/14090]	Time 0.773 (0.769)	Data 0.001 (0.003)	Loss 1.7459 (1.9370)	Prec@1 57.031 (49.984)	Prec@5 82.812 (79.809)
Epoch: [61][3120/14090]	Time 0.761 (0.769)	Data 0.001 (0.003)	Loss 1.8007 (1.9370)	Prec@1 51.562 (49.980)	Prec@5 79.688 (79.804)
Epoch: [61][3130/14090]	Time 0.749 (0.769)	Data 0.001 (0.003)	Loss 1.7721 (1.9369)	Prec@1 56.250 (49.982)	Prec@5 79.688 (79.804)
Epoch: [61][3140/14090]	Time 0.745 (0.769)	Data 0.001 (0.003)	Loss 2.0219 (1.9370)	Prec@1 51.562 (49.980)	Prec@5 80.469 (79.801)
Epoch: [61][3150/14090]	Time 0.866 (0.769)	Data 0.001 (0.003)	Loss 2.1343 (1.9370)	Prec@1 50.781 (49.980)	Prec@5 75.000 (79.800)
Epoch: [61][3160/14090]	Time 0.725 (0.769)	Data 0.001 (0.003)	Loss 1.9439 (1.9369)	Prec@1 47.656 (49.977)	Prec@5 78.906 (79.798)
Epoch: [61][3170/14090]	Time 0.731 (0.769)	Data 0.001 (0.003)	Loss 1.9355 (1.9370)	Prec@1 50.000 (49.974)	Prec@5 79.688 (79.793)
Epoch: [61][3180/14090]	Time 0.766 (0.769)	Data 0.001 (0.003)	Loss 1.9315 (1.9369)	Prec@1 51.562 (49.977)	Prec@5 75.781 (79.795)
Epoch: [61][3190/14090]	Time 0.748 (0.769)	Data 0.001 (0.003)	Loss 1.7600 (1.9368)	Prec@1 55.469 (49.978)	Prec@5 83.594 (79.799)
Epoch: [61][3200/14090]	Time 0.769 (0.769)	Data 0.001 (0.003)	Loss 1.7751 (1.9365)	Prec@1 53.125 (49.987)	Prec@5 80.469 (79.802)
Epoch: [61][3210/14090]	Time 0.756 (0.769)	Data 0.001 (0.003)	Loss 1.9188 (1.9363)	Prec@1 49.219 (49.993)	Prec@5 79.688 (79.806)
Epoch: [61][3220/14090]	Time 0.871 (0.769)	Data 0.001 (0.003)	Loss 1.8138 (1.9361)	Prec@1 48.438 (49.991)	Prec@5 85.938 (79.815)
Epoch: [61][3230/14090]	Time 0.764 (0.769)	Data 0.001 (0.003)	Loss 1.9472 (1.9360)	Prec@1 46.875 (49.993)	Prec@5 78.906 (79.817)
Epoch: [61][3240/14090]	Time 0.743 (0.769)	Data 0.001 (0.003)	Loss 1.8093 (1.9359)	Prec@1 52.344 (49.995)	Prec@5 84.375 (79.820)
Epoch: [61][3250/14090]	Time 0.787 (0.769)	Data 0.001 (0.003)	Loss 2.0176 (1.9360)	Prec@1 46.875 (49.994)	Prec@5 82.031 (79.819)
Epoch: [61][3260/14090]	Time 0.750 (0.769)	Data 0.002 (0.003)	Loss 2.1234 (1.9357)	Prec@1 42.969 (50.003)	Prec@5 77.344 (79.824)
Epoch: [61][3270/14090]	Time 0.754 (0.769)	Data 0.001 (0.003)	Loss 1.6696 (1.9356)	Prec@1 57.812 (50.004)	Prec@5 87.500 (79.825)
Epoch: [61][3280/14090]	Time 0.750 (0.769)	Data 0.001 (0.003)	Loss 1.7791 (1.9359)	Prec@1 52.344 (49.995)	Prec@5 85.938 (79.820)
Epoch: [61][3290/14090]	Time 0.896 (0.769)	Data 0.001 (0.003)	Loss 2.0569 (1.9360)	Prec@1 49.219 (49.997)	Prec@5 79.688 (79.820)
Epoch: [61][3300/14090]	Time 0.753 (0.769)	Data 0.001 (0.003)	Loss 2.0655 (1.9358)	Prec@1 46.875 (50.002)	Prec@5 75.000 (79.823)
Epoch: [61][3310/14090]	Time 0.734 (0.769)	Data 0.001 (0.003)	Loss 2.0613 (1.9358)	Prec@1 47.656 (50.002)	Prec@5 82.031 (79.823)
Epoch: [61][3320/14090]	Time 0.756 (0.769)	Data 0.001 (0.003)	Loss 1.8325 (1.9358)	Prec@1 50.781 (50.004)	Prec@5 78.125 (79.821)
Epoch: [61][3330/14090]	Time 0.738 (0.769)	Data 0.001 (0.003)	Loss 2.1084 (1.9356)	Prec@1 46.094 (50.009)	Prec@5 75.781 (79.824)
Epoch: [61][3340/14090]	Time 0.743 (0.769)	Data 0.001 (0.003)	Loss 1.6824 (1.9356)	Prec@1 55.469 (50.009)	Prec@5 80.469 (79.821)
Epoch: [61][3350/14090]	Time 0.750 (0.769)	Data 0.001 (0.003)	Loss 1.7699 (1.9355)	Prec@1 58.594 (50.011)	Prec@5 82.031 (79.822)
Epoch: [61][3360/14090]	Time 0.841 (0.769)	Data 0.001 (0.003)	Loss 1.8360 (1.9354)	Prec@1 54.688 (50.015)	Prec@5 85.156 (79.824)
Epoch: [61][3370/14090]	Time 0.736 (0.769)	Data 0.001 (0.003)	Loss 2.0671 (1.9355)	Prec@1 46.094 (50.009)	Prec@5 74.219 (79.821)
Epoch: [61][3380/14090]	Time 0.734 (0.769)	Data 0.001 (0.003)	Loss 1.8503 (1.9353)	Prec@1 49.219 (50.015)	Prec@5 83.594 (79.823)
Epoch: [61][3390/14090]	Time 0.745 (0.769)	Data 0.001 (0.003)	Loss 2.2101 (1.9352)	Prec@1 41.406 (50.013)	Prec@5 77.344 (79.825)
Epoch: [61][3400/14090]	Time 0.753 (0.769)	Data 0.001 (0.003)	Loss 1.7113 (1.9352)	Prec@1 54.688 (50.016)	Prec@5 84.375 (79.826)
Epoch: [61][3410/14090]	Time 0.730 (0.769)	Data 0.002 (0.003)	Loss 2.0150 (1.9349)	Prec@1 55.469 (50.025)	Prec@5 76.562 (79.830)
Epoch: [61][3420/14090]	Time 0.741 (0.769)	Data 0.001 (0.003)	Loss 2.2113 (1.9353)	Prec@1 46.094 (50.025)	Prec@5 77.344 (79.823)
Epoch: [61][3430/14090]	Time 0.860 (0.769)	Data 0.001 (0.003)	Loss 1.9096 (1.9352)	Prec@1 50.000 (50.025)	Prec@5 82.031 (79.825)
Epoch: [61][3440/14090]	Time 0.741 (0.769)	Data 0.001 (0.003)	Loss 1.7427 (1.9348)	Prec@1 51.562 (50.032)	Prec@5 83.594 (79.833)
Epoch: [61][3450/14090]	Time 0.747 (0.769)	Data 0.001 (0.003)	Loss 1.9879 (1.9351)	Prec@1 47.656 (50.024)	Prec@5 77.344 (79.828)
Epoch: [61][3460/14090]	Time 0.756 (0.769)	Data 0.001 (0.003)	Loss 1.8836 (1.9349)	Prec@1 46.094 (50.025)	Prec@5 86.719 (79.833)
Epoch: [61][3470/14090]	Time 0.753 (0.769)	Data 0.001 (0.003)	Loss 1.8825 (1.9350)	Prec@1 53.125 (50.023)	Prec@5 82.031 (79.828)
Epoch: [61][3480/14090]	Time 0.726 (0.769)	Data 0.001 (0.003)	Loss 1.8287 (1.9347)	Prec@1 52.344 (50.030)	Prec@5 83.594 (79.834)
Epoch: [61][3490/14090]	Time 0.753 (0.769)	Data 0.001 (0.003)	Loss 1.9621 (1.9347)	Prec@1 50.781 (50.030)	Prec@5 78.906 (79.832)
Epoch: [61][3500/14090]	Time 0.837 (0.769)	Data 0.001 (0.003)	Loss 1.7727 (1.9345)	Prec@1 53.906 (50.035)	Prec@5 81.250 (79.837)
Epoch: [61][3510/14090]	Time 0.780 (0.769)	Data 0.001 (0.003)	Loss 2.0803 (1.9346)	Prec@1 46.094 (50.035)	Prec@5 72.656 (79.833)
Epoch: [61][3520/14090]	Time 0.740 (0.769)	Data 0.001 (0.003)	Loss 1.7571 (1.9345)	Prec@1 51.562 (50.039)	Prec@5 82.812 (79.833)
Epoch: [61][3530/14090]	Time 0.787 (0.769)	Data 0.001 (0.003)	Loss 1.7751 (1.9346)	Prec@1 57.031 (50.037)	Prec@5 84.375 (79.830)
Epoch: [61][3540/14090]	Time 0.743 (0.769)	Data 0.001 (0.003)	Loss 2.3002 (1.9346)	Prec@1 47.656 (50.039)	Prec@5 72.656 (79.829)
Epoch: [61][3550/14090]	Time 0.770 (0.769)	Data 0.001 (0.003)	Loss 1.9849 (1.9343)	Prec@1 50.000 (50.047)	Prec@5 79.688 (79.833)
Epoch: [61][3560/14090]	Time 0.728 (0.769)	Data 0.001 (0.003)	Loss 1.7278 (1.9341)	Prec@1 57.031 (50.053)	Prec@5 82.812 (79.836)
Epoch: [61][3570/14090]	Time 0.894 (0.769)	Data 0.001 (0.002)	Loss 1.8506 (1.9339)	Prec@1 53.906 (50.056)	Prec@5 80.469 (79.838)
Epoch: [61][3580/14090]	Time 0.723 (0.769)	Data 0.001 (0.002)	Loss 2.0005 (1.9338)	Prec@1 52.344 (50.064)	Prec@5 75.781 (79.840)
Epoch: [61][3590/14090]	Time 0.720 (0.769)	Data 0.001 (0.002)	Loss 2.2934 (1.9341)	Prec@1 46.094 (50.055)	Prec@5 74.219 (79.835)
Epoch: [61][3600/14090]	Time 0.743 (0.769)	Data 0.001 (0.002)	Loss 1.7089 (1.9342)	Prec@1 54.688 (50.051)	Prec@5 80.469 (79.833)
Epoch: [61][3610/14090]	Time 0.735 (0.769)	Data 0.001 (0.002)	Loss 1.7880 (1.9341)	Prec@1 47.656 (50.048)	Prec@5 82.812 (79.834)
Epoch: [61][3620/14090]	Time 0.750 (0.769)	Data 0.001 (0.002)	Loss 2.0612 (1.9344)	Prec@1 49.219 (50.046)	Prec@5 77.344 (79.833)
Epoch: [61][3630/14090]	Time 0.725 (0.769)	Data 0.001 (0.002)	Loss 1.9952 (1.9342)	Prec@1 50.000 (50.049)	Prec@5 77.344 (79.835)
Epoch: [61][3640/14090]	Time 0.903 (0.769)	Data 0.001 (0.002)	Loss 1.7131 (1.9342)	Prec@1 53.125 (50.047)	Prec@5 84.375 (79.836)
Epoch: [61][3650/14090]	Time 0.748 (0.769)	Data 0.001 (0.002)	Loss 1.9714 (1.9342)	Prec@1 49.219 (50.045)	Prec@5 78.125 (79.835)
Epoch: [61][3660/14090]	Time 0.739 (0.769)	Data 0.001 (0.002)	Loss 1.9964 (1.9341)	Prec@1 42.969 (50.048)	Prec@5 77.344 (79.837)
Epoch: [61][3670/14090]	Time 0.779 (0.769)	Data 0.001 (0.002)	Loss 2.1134 (1.9341)	Prec@1 42.188 (50.046)	Prec@5 76.562 (79.830)
Epoch: [61][3680/14090]	Time 0.756 (0.769)	Data 0.001 (0.002)	Loss 2.0399 (1.9342)	Prec@1 46.094 (50.045)	Prec@5 82.812 (79.832)
Epoch: [61][3690/14090]	Time 0.727 (0.769)	Data 0.001 (0.002)	Loss 2.0912 (1.9343)	Prec@1 52.344 (50.044)	Prec@5 75.781 (79.830)
Epoch: [61][3700/14090]	Time 0.746 (0.769)	Data 0.001 (0.002)	Loss 2.0218 (1.9345)	Prec@1 46.875 (50.044)	Prec@5 78.906 (79.825)
Epoch: [61][3710/14090]	Time 0.906 (0.769)	Data 0.001 (0.002)	Loss 2.0332 (1.9345)	Prec@1 49.219 (50.044)	Prec@5 77.344 (79.826)
Epoch: [61][3720/14090]	Time 0.779 (0.769)	Data 0.001 (0.002)	Loss 1.8014 (1.9344)	Prec@1 49.219 (50.043)	Prec@5 82.812 (79.825)
Epoch: [61][3730/14090]	Time 0.721 (0.769)	Data 0.001 (0.002)	Loss 2.1194 (1.9346)	Prec@1 44.531 (50.040)	Prec@5 78.125 (79.822)
Epoch: [61][3740/14090]	Time 0.778 (0.769)	Data 0.002 (0.002)	Loss 1.7872 (1.9343)	Prec@1 53.125 (50.046)	Prec@5 83.594 (79.825)
Epoch: [61][3750/14090]	Time 0.740 (0.769)	Data 0.001 (0.002)	Loss 1.7045 (1.9344)	Prec@1 52.344 (50.044)	Prec@5 86.719 (79.824)
Epoch: [61][3760/14090]	Time 0.742 (0.769)	Data 0.001 (0.002)	Loss 1.9205 (1.9343)	Prec@1 51.562 (50.049)	Prec@5 80.469 (79.826)
Epoch: [61][3770/14090]	Time 0.731 (0.769)	Data 0.004 (0.002)	Loss 1.9670 (1.9344)	Prec@1 46.094 (50.047)	Prec@5 79.688 (79.824)
Epoch: [61][3780/14090]	Time 0.854 (0.769)	Data 0.001 (0.002)	Loss 2.0038 (1.9343)	Prec@1 46.094 (50.046)	Prec@5 75.781 (79.826)
Epoch: [61][3790/14090]	Time 0.747 (0.769)	Data 0.001 (0.002)	Loss 1.9873 (1.9343)	Prec@1 43.750 (50.047)	Prec@5 78.125 (79.825)
Epoch: [61][3800/14090]	Time 0.730 (0.769)	Data 0.001 (0.002)	Loss 2.0004 (1.9344)	Prec@1 54.688 (50.051)	Prec@5 78.906 (79.826)
Epoch: [61][3810/14090]	Time 0.756 (0.769)	Data 0.001 (0.002)	Loss 2.0686 (1.9345)	Prec@1 48.438 (50.052)	Prec@5 76.562 (79.819)
Epoch: [61][3820/14090]	Time 0.759 (0.769)	Data 0.001 (0.002)	Loss 2.2152 (1.9346)	Prec@1 38.281 (50.047)	Prec@5 77.344 (79.823)
Epoch: [61][3830/14090]	Time 0.729 (0.769)	Data 0.001 (0.002)	Loss 1.8164 (1.9347)	Prec@1 54.688 (50.048)	Prec@5 82.812 (79.822)
Epoch: [61][3840/14090]	Time 0.726 (0.769)	Data 0.001 (0.002)	Loss 1.8437 (1.9346)	Prec@1 53.125 (50.050)	Prec@5 82.812 (79.821)
Epoch: [61][3850/14090]	Time 0.971 (0.769)	Data 0.001 (0.002)	Loss 1.9959 (1.9348)	Prec@1 53.125 (50.048)	Prec@5 80.469 (79.817)
Epoch: [61][3860/14090]	Time 0.734 (0.769)	Data 0.001 (0.002)	Loss 1.9110 (1.9348)	Prec@1 48.438 (50.047)	Prec@5 85.156 (79.816)
Epoch: [61][3870/14090]	Time 0.738 (0.769)	Data 0.001 (0.002)	Loss 1.9077 (1.9348)	Prec@1 49.219 (50.046)	Prec@5 81.250 (79.820)
Epoch: [61][3880/14090]	Time 0.727 (0.769)	Data 0.001 (0.002)	Loss 1.9383 (1.9349)	Prec@1 52.344 (50.047)	Prec@5 78.125 (79.818)
Epoch: [61][3890/14090]	Time 0.732 (0.769)	Data 0.001 (0.002)	Loss 2.1986 (1.9349)	Prec@1 39.062 (50.046)	Prec@5 74.219 (79.817)
Epoch: [61][3900/14090]	Time 0.742 (0.769)	Data 0.001 (0.002)	Loss 2.1935 (1.9349)	Prec@1 41.406 (50.050)	Prec@5 74.219 (79.818)
Epoch: [61][3910/14090]	Time 0.732 (0.769)	Data 0.001 (0.002)	Loss 1.6573 (1.9349)	Prec@1 55.469 (50.051)	Prec@5 85.156 (79.817)
Epoch: [61][3920/14090]	Time 0.886 (0.769)	Data 0.001 (0.002)	Loss 1.9775 (1.9350)	Prec@1 50.000 (50.045)	Prec@5 78.125 (79.817)
Epoch: [61][3930/14090]	Time 0.731 (0.769)	Data 0.001 (0.002)	Loss 1.7824 (1.9352)	Prec@1 53.125 (50.044)	Prec@5 84.375 (79.815)
Epoch: [61][3940/14090]	Time 0.739 (0.769)	Data 0.001 (0.002)	Loss 2.0356 (1.9353)	Prec@1 51.562 (50.047)	Prec@5 75.000 (79.812)
Epoch: [61][3950/14090]	Time 0.731 (0.769)	Data 0.001 (0.002)	Loss 1.7285 (1.9351)	Prec@1 55.469 (50.051)	Prec@5 82.812 (79.816)
Epoch: [61][3960/14090]	Time 0.731 (0.769)	Data 0.001 (0.002)	Loss 1.9595 (1.9351)	Prec@1 48.438 (50.052)	Prec@5 80.469 (79.818)
Epoch: [61][3970/14090]	Time 0.764 (0.769)	Data 0.001 (0.002)	Loss 1.9811 (1.9350)	Prec@1 46.094 (50.054)	Prec@5 78.125 (79.819)
Epoch: [61][3980/14090]	Time 0.776 (0.769)	Data 0.001 (0.002)	Loss 1.9769 (1.9351)	Prec@1 49.219 (50.052)	Prec@5 78.125 (79.817)
Epoch: [61][3990/14090]	Time 0.854 (0.769)	Data 0.001 (0.002)	Loss 1.8447 (1.9349)	Prec@1 52.344 (50.055)	Prec@5 85.938 (79.820)
Epoch: [61][4000/14090]	Time 0.742 (0.769)	Data 0.001 (0.002)	Loss 2.2225 (1.9350)	Prec@1 44.531 (50.052)	Prec@5 75.781 (79.818)
Epoch: [61][4010/14090]	Time 0.755 (0.769)	Data 0.001 (0.002)	Loss 2.0530 (1.9350)	Prec@1 43.750 (50.052)	Prec@5 77.344 (79.815)
Epoch: [61][4020/14090]	Time 0.765 (0.769)	Data 0.001 (0.002)	Loss 1.9168 (1.9348)	Prec@1 46.094 (50.053)	Prec@5 79.688 (79.817)
Epoch: [61][4030/14090]	Time 0.757 (0.769)	Data 0.001 (0.002)	Loss 2.0082 (1.9348)	Prec@1 53.906 (50.059)	Prec@5 71.094 (79.817)
Epoch: [61][4040/14090]	Time 0.727 (0.769)	Data 0.001 (0.002)	Loss 1.7612 (1.9348)	Prec@1 51.562 (50.055)	Prec@5 82.812 (79.815)
Epoch: [61][4050/14090]	Time 0.742 (0.769)	Data 0.001 (0.002)	Loss 1.8966 (1.9347)	Prec@1 51.562 (50.054)	Prec@5 82.031 (79.814)
Epoch: [61][4060/14090]	Time 0.823 (0.769)	Data 0.001 (0.002)	Loss 1.9760 (1.9348)	Prec@1 46.094 (50.051)	Prec@5 80.469 (79.810)
Epoch: [61][4070/14090]	Time 0.764 (0.769)	Data 0.001 (0.002)	Loss 2.0442 (1.9347)	Prec@1 50.000 (50.056)	Prec@5 77.344 (79.814)
Epoch: [61][4080/14090]	Time 0.745 (0.769)	Data 0.001 (0.002)	Loss 1.8337 (1.9348)	Prec@1 48.438 (50.054)	Prec@5 83.594 (79.812)
Epoch: [61][4090/14090]	Time 0.772 (0.769)	Data 0.001 (0.002)	Loss 1.8304 (1.9347)	Prec@1 48.438 (50.053)	Prec@5 80.469 (79.814)
Epoch: [61][4100/14090]	Time 0.777 (0.769)	Data 0.001 (0.002)	Loss 1.9908 (1.9349)	Prec@1 46.094 (50.050)	Prec@5 84.375 (79.813)
Epoch: [61][4110/14090]	Time 0.748 (0.769)	Data 0.001 (0.002)	Loss 1.7410 (1.9348)	Prec@1 53.906 (50.054)	Prec@5 80.469 (79.814)
Epoch: [61][4120/14090]	Time 0.773 (0.769)	Data 0.001 (0.002)	Loss 2.1879 (1.9346)	Prec@1 46.875 (50.055)	Prec@5 75.000 (79.816)
Epoch: [61][4130/14090]	Time 0.891 (0.769)	Data 0.001 (0.002)	Loss 1.9210 (1.9345)	Prec@1 51.562 (50.061)	Prec@5 82.812 (79.821)
Epoch: [61][4140/14090]	Time 0.730 (0.769)	Data 0.001 (0.002)	Loss 2.0094 (1.9343)	Prec@1 53.125 (50.064)	Prec@5 80.469 (79.823)
Epoch: [61][4150/14090]	Time 0.739 (0.769)	Data 0.001 (0.002)	Loss 2.0837 (1.9343)	Prec@1 44.531 (50.068)	Prec@5 78.125 (79.821)
Epoch: [61][4160/14090]	Time 0.729 (0.769)	Data 0.001 (0.002)	Loss 2.0622 (1.9345)	Prec@1 50.000 (50.064)	Prec@5 75.781 (79.819)
Epoch: [61][4170/14090]	Time 0.722 (0.768)	Data 0.001 (0.002)	Loss 1.7760 (1.9345)	Prec@1 51.562 (50.061)	Prec@5 81.250 (79.819)
Epoch: [61][4180/14090]	Time 0.739 (0.769)	Data 0.001 (0.002)	Loss 2.0060 (1.9345)	Prec@1 46.875 (50.064)	Prec@5 78.125 (79.819)
Epoch: [61][4190/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 1.7884 (1.9343)	Prec@1 46.094 (50.070)	Prec@5 82.812 (79.822)
Epoch: [61][4200/14090]	Time 0.879 (0.768)	Data 0.001 (0.002)	Loss 1.8247 (1.9343)	Prec@1 47.656 (50.070)	Prec@5 80.469 (79.826)
Epoch: [61][4210/14090]	Time 0.738 (0.768)	Data 0.001 (0.002)	Loss 1.9301 (1.9341)	Prec@1 50.781 (50.069)	Prec@5 80.469 (79.829)
Epoch: [61][4220/14090]	Time 0.739 (0.768)	Data 0.001 (0.002)	Loss 1.9130 (1.9340)	Prec@1 49.219 (50.076)	Prec@5 81.250 (79.832)
Epoch: [61][4230/14090]	Time 0.758 (0.768)	Data 0.001 (0.002)	Loss 1.6886 (1.9339)	Prec@1 56.250 (50.079)	Prec@5 82.812 (79.832)
Epoch: [61][4240/14090]	Time 0.775 (0.768)	Data 0.001 (0.002)	Loss 1.9285 (1.9339)	Prec@1 50.000 (50.078)	Prec@5 83.594 (79.831)
Epoch: [61][4250/14090]	Time 0.767 (0.769)	Data 0.001 (0.002)	Loss 2.0200 (1.9339)	Prec@1 46.875 (50.079)	Prec@5 82.812 (79.831)
Epoch: [61][4260/14090]	Time 0.775 (0.768)	Data 0.001 (0.002)	Loss 2.0554 (1.9338)	Prec@1 46.094 (50.079)	Prec@5 76.562 (79.830)
Epoch: [61][4270/14090]	Time 0.847 (0.768)	Data 0.001 (0.002)	Loss 1.9229 (1.9338)	Prec@1 53.906 (50.080)	Prec@5 79.688 (79.831)
Epoch: [61][4280/14090]	Time 0.764 (0.768)	Data 0.001 (0.002)	Loss 1.8784 (1.9336)	Prec@1 50.781 (50.081)	Prec@5 78.906 (79.836)
Epoch: [61][4290/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 1.6217 (1.9336)	Prec@1 58.594 (50.082)	Prec@5 85.938 (79.836)
Epoch: [61][4300/14090]	Time 0.730 (0.768)	Data 0.001 (0.002)	Loss 1.9392 (1.9336)	Prec@1 46.875 (50.081)	Prec@5 82.812 (79.834)
Epoch: [61][4310/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 2.0236 (1.9336)	Prec@1 42.969 (50.084)	Prec@5 82.812 (79.835)
Epoch: [61][4320/14090]	Time 0.743 (0.768)	Data 0.001 (0.002)	Loss 1.9844 (1.9335)	Prec@1 50.000 (50.083)	Prec@5 74.219 (79.834)
Epoch: [61][4330/14090]	Time 0.755 (0.768)	Data 0.001 (0.002)	Loss 2.0488 (1.9336)	Prec@1 49.219 (50.083)	Prec@5 80.469 (79.835)
Epoch: [61][4340/14090]	Time 0.879 (0.768)	Data 0.001 (0.002)	Loss 1.7642 (1.9336)	Prec@1 55.469 (50.080)	Prec@5 80.469 (79.835)
Epoch: [61][4350/14090]	Time 0.747 (0.768)	Data 0.001 (0.002)	Loss 2.1656 (1.9337)	Prec@1 42.969 (50.075)	Prec@5 73.438 (79.833)
Epoch: [61][4360/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 1.9170 (1.9337)	Prec@1 50.000 (50.074)	Prec@5 78.125 (79.837)
Epoch: [61][4370/14090]	Time 0.763 (0.768)	Data 0.001 (0.002)	Loss 1.9820 (1.9337)	Prec@1 44.531 (50.073)	Prec@5 80.469 (79.836)
Epoch: [61][4380/14090]	Time 0.743 (0.768)	Data 0.001 (0.002)	Loss 2.1622 (1.9337)	Prec@1 43.750 (50.073)	Prec@5 75.781 (79.836)
Epoch: [61][4390/14090]	Time 0.765 (0.768)	Data 0.001 (0.002)	Loss 1.9067 (1.9337)	Prec@1 53.125 (50.075)	Prec@5 78.906 (79.838)
Epoch: [61][4400/14090]	Time 0.730 (0.768)	Data 0.001 (0.002)	Loss 1.8749 (1.9337)	Prec@1 48.438 (50.072)	Prec@5 84.375 (79.838)
Epoch: [61][4410/14090]	Time 0.930 (0.768)	Data 0.001 (0.002)	Loss 1.9127 (1.9336)	Prec@1 46.875 (50.071)	Prec@5 81.250 (79.841)
Epoch: [61][4420/14090]	Time 0.737 (0.768)	Data 0.001 (0.002)	Loss 1.6469 (1.9333)	Prec@1 56.250 (50.076)	Prec@5 84.375 (79.845)
Epoch: [61][4430/14090]	Time 0.753 (0.768)	Data 0.001 (0.002)	Loss 2.0859 (1.9334)	Prec@1 46.094 (50.077)	Prec@5 71.875 (79.845)
Epoch: [61][4440/14090]	Time 0.727 (0.768)	Data 0.001 (0.002)	Loss 2.1261 (1.9336)	Prec@1 40.625 (50.073)	Prec@5 79.688 (79.844)
Epoch: [61][4450/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 1.8279 (1.9335)	Prec@1 46.875 (50.075)	Prec@5 82.812 (79.847)
Epoch: [61][4460/14090]	Time 0.748 (0.768)	Data 0.001 (0.002)	Loss 1.9172 (1.9335)	Prec@1 53.125 (50.078)	Prec@5 77.344 (79.843)
Epoch: [61][4470/14090]	Time 0.735 (0.768)	Data 0.002 (0.002)	Loss 1.8780 (1.9336)	Prec@1 46.094 (50.072)	Prec@5 82.812 (79.843)
Epoch: [61][4480/14090]	Time 0.885 (0.768)	Data 0.001 (0.002)	Loss 1.7183 (1.9336)	Prec@1 57.031 (50.074)	Prec@5 80.469 (79.843)
Epoch: [61][4490/14090]	Time 0.731 (0.768)	Data 0.001 (0.002)	Loss 1.9066 (1.9334)	Prec@1 44.531 (50.074)	Prec@5 81.250 (79.845)
Epoch: [61][4500/14090]	Time 0.755 (0.768)	Data 0.002 (0.002)	Loss 1.8832 (1.9337)	Prec@1 51.562 (50.069)	Prec@5 78.906 (79.841)
Epoch: [61][4510/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 1.9144 (1.9336)	Prec@1 53.906 (50.072)	Prec@5 79.688 (79.844)
Epoch: [61][4520/14090]	Time 0.722 (0.768)	Data 0.001 (0.002)	Loss 1.7066 (1.9335)	Prec@1 55.469 (50.073)	Prec@5 82.812 (79.846)
Epoch: [61][4530/14090]	Time 0.736 (0.768)	Data 0.001 (0.002)	Loss 2.0747 (1.9335)	Prec@1 50.781 (50.077)	Prec@5 75.000 (79.846)
Epoch: [61][4540/14090]	Time 0.753 (0.768)	Data 0.001 (0.002)	Loss 2.0665 (1.9335)	Prec@1 45.312 (50.075)	Prec@5 74.219 (79.846)
Epoch: [61][4550/14090]	Time 0.869 (0.768)	Data 0.001 (0.002)	Loss 2.0689 (1.9335)	Prec@1 48.438 (50.076)	Prec@5 75.000 (79.843)
Epoch: [61][4560/14090]	Time 0.724 (0.768)	Data 0.001 (0.002)	Loss 1.8924 (1.9332)	Prec@1 47.656 (50.078)	Prec@5 82.031 (79.848)
Epoch: [61][4570/14090]	Time 0.752 (0.768)	Data 0.001 (0.002)	Loss 1.8434 (1.9334)	Prec@1 51.562 (50.077)	Prec@5 79.688 (79.844)
Epoch: [61][4580/14090]	Time 0.753 (0.768)	Data 0.001 (0.002)	Loss 1.8283 (1.9335)	Prec@1 54.688 (50.077)	Prec@5 84.375 (79.841)
Epoch: [61][4590/14090]	Time 0.757 (0.768)	Data 0.001 (0.002)	Loss 1.7091 (1.9334)	Prec@1 60.938 (50.080)	Prec@5 81.250 (79.844)
Epoch: [61][4600/14090]	Time 0.729 (0.768)	Data 0.001 (0.002)	Loss 1.6059 (1.9333)	Prec@1 59.375 (50.083)	Prec@5 85.156 (79.841)
Epoch: [61][4610/14090]	Time 0.746 (0.768)	Data 0.003 (0.002)	Loss 2.1718 (1.9332)	Prec@1 46.875 (50.085)	Prec@5 74.219 (79.842)
Epoch: [61][4620/14090]	Time 0.885 (0.768)	Data 0.001 (0.002)	Loss 1.9118 (1.9333)	Prec@1 53.125 (50.082)	Prec@5 78.906 (79.841)
Epoch: [61][4630/14090]	Time 0.747 (0.768)	Data 0.001 (0.002)	Loss 1.7793 (1.9333)	Prec@1 51.562 (50.080)	Prec@5 82.812 (79.844)
Epoch: [61][4640/14090]	Time 0.725 (0.768)	Data 0.001 (0.002)	Loss 1.8561 (1.9333)	Prec@1 52.344 (50.078)	Prec@5 79.688 (79.844)
Epoch: [61][4650/14090]	Time 0.749 (0.768)	Data 0.001 (0.002)	Loss 1.9014 (1.9333)	Prec@1 47.656 (50.076)	Prec@5 81.250 (79.845)
Epoch: [61][4660/14090]	Time 0.759 (0.768)	Data 0.001 (0.002)	Loss 2.2960 (1.9335)	Prec@1 46.875 (50.068)	Prec@5 74.219 (79.842)
Epoch: [61][4670/14090]	Time 0.722 (0.768)	Data 0.001 (0.002)	Loss 2.0154 (1.9335)	Prec@1 46.875 (50.070)	Prec@5 83.594 (79.841)
Epoch: [61][4680/14090]	Time 0.722 (0.768)	Data 0.001 (0.002)	Loss 2.2096 (1.9336)	Prec@1 51.562 (50.071)	Prec@5 78.125 (79.841)
Epoch: [61][4690/14090]	Time 0.863 (0.768)	Data 0.001 (0.002)	Loss 1.8889 (1.9334)	Prec@1 48.438 (50.075)	Prec@5 82.031 (79.844)
Epoch: [61][4700/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 1.7727 (1.9335)	Prec@1 56.250 (50.072)	Prec@5 80.469 (79.843)
Epoch: [61][4710/14090]	Time 0.730 (0.768)	Data 0.001 (0.002)	Loss 1.9974 (1.9336)	Prec@1 51.562 (50.069)	Prec@5 77.344 (79.842)
Epoch: [61][4720/14090]	Time 0.743 (0.768)	Data 0.001 (0.002)	Loss 1.3866 (1.9334)	Prec@1 58.594 (50.072)	Prec@5 88.281 (79.846)
Epoch: [61][4730/14090]	Time 0.773 (0.768)	Data 0.001 (0.002)	Loss 1.8976 (1.9336)	Prec@1 51.562 (50.072)	Prec@5 79.688 (79.842)
Epoch: [61][4740/14090]	Time 0.762 (0.768)	Data 0.001 (0.002)	Loss 2.1241 (1.9336)	Prec@1 51.562 (50.072)	Prec@5 77.344 (79.842)
Epoch: [61][4750/14090]	Time 0.724 (0.768)	Data 0.001 (0.002)	Loss 1.8330 (1.9336)	Prec@1 50.781 (50.070)	Prec@5 84.375 (79.842)
Epoch: [61][4760/14090]	Time 0.882 (0.768)	Data 0.001 (0.002)	Loss 1.9719 (1.9336)	Prec@1 50.000 (50.064)	Prec@5 81.250 (79.841)
Epoch: [61][4770/14090]	Time 0.762 (0.768)	Data 0.001 (0.002)	Loss 1.9187 (1.9336)	Prec@1 50.000 (50.066)	Prec@5 78.906 (79.841)
Epoch: [61][4780/14090]	Time 0.739 (0.768)	Data 0.001 (0.002)	Loss 1.9027 (1.9337)	Prec@1 49.219 (50.065)	Prec@5 81.250 (79.838)
Epoch: [61][4790/14090]	Time 0.766 (0.768)	Data 0.001 (0.002)	Loss 1.8508 (1.9337)	Prec@1 51.562 (50.064)	Prec@5 81.250 (79.842)
Epoch: [61][4800/14090]	Time 0.770 (0.768)	Data 0.001 (0.002)	Loss 1.7973 (1.9337)	Prec@1 51.562 (50.062)	Prec@5 82.812 (79.840)
Epoch: [61][4810/14090]	Time 0.756 (0.768)	Data 0.001 (0.002)	Loss 2.0319 (1.9337)	Prec@1 51.562 (50.065)	Prec@5 82.031 (79.840)
Epoch: [61][4820/14090]	Time 0.764 (0.768)	Data 0.001 (0.002)	Loss 1.8914 (1.9336)	Prec@1 53.125 (50.067)	Prec@5 75.781 (79.843)
Epoch: [61][4830/14090]	Time 0.875 (0.768)	Data 0.001 (0.002)	Loss 1.8577 (1.9337)	Prec@1 47.656 (50.064)	Prec@5 78.125 (79.840)
Epoch: [61][4840/14090]	Time 0.724 (0.768)	Data 0.001 (0.002)	Loss 2.0635 (1.9337)	Prec@1 47.656 (50.064)	Prec@5 74.219 (79.841)
Epoch: [61][4850/14090]	Time 0.748 (0.768)	Data 0.001 (0.002)	Loss 2.0062 (1.9337)	Prec@1 48.438 (50.066)	Prec@5 78.906 (79.842)
Epoch: [61][4860/14090]	Time 0.770 (0.768)	Data 0.001 (0.002)	Loss 1.8164 (1.9337)	Prec@1 45.312 (50.062)	Prec@5 82.031 (79.840)
Epoch: [61][4870/14090]	Time 0.753 (0.768)	Data 0.001 (0.002)	Loss 2.0063 (1.9337)	Prec@1 39.844 (50.061)	Prec@5 82.031 (79.839)
Epoch: [61][4880/14090]	Time 0.762 (0.768)	Data 0.001 (0.002)	Loss 1.9681 (1.9337)	Prec@1 43.750 (50.059)	Prec@5 79.688 (79.841)
Epoch: [61][4890/14090]	Time 0.744 (0.768)	Data 0.001 (0.002)	Loss 1.8102 (1.9335)	Prec@1 53.125 (50.061)	Prec@5 78.906 (79.843)
Epoch: [61][4900/14090]	Time 0.886 (0.768)	Data 0.001 (0.002)	Loss 1.6575 (1.9334)	Prec@1 51.562 (50.063)	Prec@5 83.594 (79.844)
Epoch: [61][4910/14090]	Time 0.733 (0.768)	Data 0.001 (0.002)	Loss 1.6286 (1.9332)	Prec@1 52.344 (50.068)	Prec@5 83.594 (79.848)
Epoch: [61][4920/14090]	Time 0.739 (0.768)	Data 0.001 (0.002)	Loss 2.0296 (1.9330)	Prec@1 46.875 (50.072)	Prec@5 78.906 (79.850)
Epoch: [61][4930/14090]	Time 0.731 (0.768)	Data 0.001 (0.002)	Loss 1.6700 (1.9329)	Prec@1 57.031 (50.074)	Prec@5 85.156 (79.851)
Epoch: [61][4940/14090]	Time 0.775 (0.768)	Data 0.001 (0.002)	Loss 1.9858 (1.9329)	Prec@1 52.344 (50.077)	Prec@5 78.906 (79.852)
Epoch: [61][4950/14090]	Time 0.754 (0.768)	Data 0.001 (0.002)	Loss 2.0551 (1.9330)	Prec@1 54.688 (50.074)	Prec@5 77.344 (79.849)
Epoch: [61][4960/14090]	Time 0.736 (0.768)	Data 0.001 (0.002)	Loss 1.7909 (1.9331)	Prec@1 56.250 (50.076)	Prec@5 80.469 (79.847)
Epoch: [61][4970/14090]	Time 0.945 (0.768)	Data 0.001 (0.002)	Loss 1.8559 (1.9331)	Prec@1 51.562 (50.074)	Prec@5 79.688 (79.847)
Epoch: [61][4980/14090]	Time 0.755 (0.768)	Data 0.003 (0.002)	Loss 2.1079 (1.9332)	Prec@1 48.438 (50.073)	Prec@5 76.562 (79.847)
Epoch: [61][4990/14090]	Time 0.723 (0.768)	Data 0.001 (0.002)	Loss 1.8099 (1.9331)	Prec@1 50.000 (50.075)	Prec@5 84.375 (79.849)
Epoch: [61][5000/14090]	Time 0.756 (0.768)	Data 0.001 (0.002)	Loss 2.1758 (1.9332)	Prec@1 43.750 (50.075)	Prec@5 77.344 (79.849)
Epoch: [61][5010/14090]	Time 0.731 (0.768)	Data 0.001 (0.002)	Loss 1.9295 (1.9332)	Prec@1 48.438 (50.073)	Prec@5 78.906 (79.850)
Epoch: [61][5020/14090]	Time 0.738 (0.768)	Data 0.001 (0.002)	Loss 2.2285 (1.9333)	Prec@1 46.875 (50.072)	Prec@5 72.656 (79.850)
Epoch: [61][5030/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 1.9143 (1.9331)	Prec@1 47.656 (50.075)	Prec@5 82.812 (79.852)
Epoch: [61][5040/14090]	Time 0.821 (0.768)	Data 0.001 (0.002)	Loss 1.7941 (1.9329)	Prec@1 50.781 (50.079)	Prec@5 85.938 (79.856)
Epoch: [61][5050/14090]	Time 0.772 (0.768)	Data 0.001 (0.002)	Loss 1.7076 (1.9328)	Prec@1 50.000 (50.079)	Prec@5 83.594 (79.857)
Epoch: [61][5060/14090]	Time 0.784 (0.768)	Data 0.001 (0.002)	Loss 1.9918 (1.9330)	Prec@1 50.781 (50.076)	Prec@5 76.562 (79.854)
Epoch: [61][5070/14090]	Time 0.752 (0.768)	Data 0.001 (0.002)	Loss 1.8004 (1.9330)	Prec@1 50.781 (50.075)	Prec@5 83.594 (79.856)
Epoch: [61][5080/14090]	Time 0.745 (0.768)	Data 0.001 (0.002)	Loss 2.2070 (1.9331)	Prec@1 46.875 (50.074)	Prec@5 71.875 (79.852)
Epoch: [61][5090/14090]	Time 0.735 (0.768)	Data 0.001 (0.002)	Loss 1.9763 (1.9331)	Prec@1 43.750 (50.074)	Prec@5 80.469 (79.851)
Epoch: [61][5100/14090]	Time 0.750 (0.768)	Data 0.001 (0.002)	Loss 1.9966 (1.9333)	Prec@1 47.656 (50.069)	Prec@5 78.906 (79.851)
Epoch: [61][5110/14090]	Time 0.892 (0.768)	Data 0.001 (0.002)	Loss 1.8666 (1.9333)	Prec@1 52.344 (50.068)	Prec@5 83.594 (79.848)
Epoch: [61][5120/14090]	Time 0.724 (0.768)	Data 0.001 (0.002)	Loss 1.8085 (1.9333)	Prec@1 56.250 (50.067)	Prec@5 82.812 (79.849)
Epoch: [61][5130/14090]	Time 0.735 (0.768)	Data 0.001 (0.002)	Loss 2.0722 (1.9335)	Prec@1 46.094 (50.063)	Prec@5 78.906 (79.844)
Epoch: [61][5140/14090]	Time 0.777 (0.768)	Data 0.001 (0.002)	Loss 2.0291 (1.9335)	Prec@1 44.531 (50.063)	Prec@5 82.031 (79.844)
Epoch: [61][5150/14090]	Time 0.755 (0.768)	Data 0.001 (0.002)	Loss 1.8896 (1.9336)	Prec@1 46.875 (50.060)	Prec@5 81.250 (79.842)
Epoch: [61][5160/14090]	Time 0.760 (0.768)	Data 0.001 (0.002)	Loss 1.8011 (1.9335)	Prec@1 52.344 (50.063)	Prec@5 82.031 (79.843)
Epoch: [61][5170/14090]	Time 0.761 (0.768)	Data 0.001 (0.002)	Loss 2.0654 (1.9334)	Prec@1 48.438 (50.063)	Prec@5 78.125 (79.845)
Epoch: [61][5180/14090]	Time 0.884 (0.768)	Data 0.001 (0.002)	Loss 1.9587 (1.9336)	Prec@1 50.781 (50.058)	Prec@5 73.438 (79.843)
Epoch: [61][5190/14090]	Time 0.763 (0.768)	Data 0.001 (0.002)	Loss 1.9039 (1.9337)	Prec@1 51.562 (50.054)	Prec@5 79.688 (79.841)
Epoch: [61][5200/14090]	Time 0.728 (0.768)	Data 0.001 (0.002)	Loss 2.0458 (1.9338)	Prec@1 42.969 (50.049)	Prec@5 81.250 (79.843)
Epoch: [61][5210/14090]	Time 0.747 (0.768)	Data 0.001 (0.002)	Loss 1.7299 (1.9338)	Prec@1 54.688 (50.048)	Prec@5 85.156 (79.841)
Epoch: [61][5220/14090]	Time 0.769 (0.768)	Data 0.001 (0.002)	Loss 1.7496 (1.9338)	Prec@1 48.438 (50.047)	Prec@5 80.469 (79.840)
Epoch: [61][5230/14090]	Time 0.760 (0.768)	Data 0.001 (0.002)	Loss 1.9962 (1.9336)	Prec@1 50.000 (50.052)	Prec@5 78.125 (79.843)
Epoch: [61][5240/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 1.7021 (1.9336)	Prec@1 53.906 (50.052)	Prec@5 84.375 (79.843)
Epoch: [61][5250/14090]	Time 0.867 (0.768)	Data 0.001 (0.002)	Loss 2.0298 (1.9336)	Prec@1 48.438 (50.051)	Prec@5 75.781 (79.843)
Epoch: [61][5260/14090]	Time 0.744 (0.768)	Data 0.001 (0.002)	Loss 1.6482 (1.9335)	Prec@1 59.375 (50.055)	Prec@5 83.594 (79.845)
Epoch: [61][5270/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 1.7129 (1.9335)	Prec@1 60.156 (50.053)	Prec@5 80.469 (79.847)
Epoch: [61][5280/14090]	Time 0.729 (0.768)	Data 0.001 (0.002)	Loss 2.0246 (1.9335)	Prec@1 47.656 (50.052)	Prec@5 78.906 (79.849)
Epoch: [61][5290/14090]	Time 0.753 (0.768)	Data 0.001 (0.002)	Loss 1.9469 (1.9335)	Prec@1 49.219 (50.054)	Prec@5 78.906 (79.849)
Epoch: [61][5300/14090]	Time 0.744 (0.768)	Data 0.001 (0.002)	Loss 1.7456 (1.9334)	Prec@1 51.562 (50.051)	Prec@5 80.469 (79.849)
Epoch: [61][5310/14090]	Time 0.745 (0.768)	Data 0.001 (0.002)	Loss 1.9753 (1.9333)	Prec@1 45.312 (50.053)	Prec@5 80.469 (79.850)
Epoch: [61][5320/14090]	Time 0.889 (0.768)	Data 0.001 (0.002)	Loss 1.9610 (1.9333)	Prec@1 48.438 (50.055)	Prec@5 77.344 (79.851)
Epoch: [61][5330/14090]	Time 0.728 (0.768)	Data 0.001 (0.002)	Loss 1.9633 (1.9332)	Prec@1 50.000 (50.057)	Prec@5 78.125 (79.852)
Epoch: [61][5340/14090]	Time 0.730 (0.768)	Data 0.001 (0.002)	Loss 1.9449 (1.9331)	Prec@1 52.344 (50.057)	Prec@5 80.469 (79.856)
Epoch: [61][5350/14090]	Time 0.749 (0.768)	Data 0.001 (0.002)	Loss 2.1460 (1.9331)	Prec@1 43.750 (50.057)	Prec@5 78.906 (79.857)
Epoch: [61][5360/14090]	Time 0.731 (0.768)	Data 0.001 (0.002)	Loss 1.9479 (1.9331)	Prec@1 46.875 (50.057)	Prec@5 80.469 (79.856)
Epoch: [61][5370/14090]	Time 0.758 (0.768)	Data 0.001 (0.002)	Loss 2.0588 (1.9331)	Prec@1 44.531 (50.054)	Prec@5 78.125 (79.856)
Epoch: [61][5380/14090]	Time 0.764 (0.768)	Data 0.001 (0.002)	Loss 2.1329 (1.9332)	Prec@1 39.844 (50.053)	Prec@5 76.562 (79.855)
Epoch: [61][5390/14090]	Time 0.864 (0.768)	Data 0.001 (0.002)	Loss 1.8681 (1.9333)	Prec@1 50.000 (50.050)	Prec@5 82.031 (79.854)
Epoch: [61][5400/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 1.8362 (1.9332)	Prec@1 52.344 (50.052)	Prec@5 78.906 (79.854)
Epoch: [61][5410/14090]	Time 0.724 (0.768)	Data 0.001 (0.002)	Loss 2.1232 (1.9332)	Prec@1 46.094 (50.052)	Prec@5 78.125 (79.852)
Epoch: [61][5420/14090]	Time 0.772 (0.768)	Data 0.001 (0.002)	Loss 2.2184 (1.9332)	Prec@1 42.188 (50.052)	Prec@5 72.656 (79.852)
Epoch: [61][5430/14090]	Time 0.766 (0.768)	Data 0.001 (0.002)	Loss 1.9714 (1.9332)	Prec@1 49.219 (50.050)	Prec@5 79.688 (79.851)
Epoch: [61][5440/14090]	Time 0.763 (0.768)	Data 0.001 (0.002)	Loss 1.9875 (1.9332)	Prec@1 49.219 (50.050)	Prec@5 78.906 (79.851)
Epoch: [61][5450/14090]	Time 0.737 (0.768)	Data 0.001 (0.002)	Loss 1.7431 (1.9330)	Prec@1 50.781 (50.050)	Prec@5 82.031 (79.855)
Epoch: [61][5460/14090]	Time 0.882 (0.768)	Data 0.001 (0.002)	Loss 1.9198 (1.9330)	Prec@1 50.000 (50.053)	Prec@5 76.562 (79.856)
Epoch: [61][5470/14090]	Time 0.749 (0.768)	Data 0.001 (0.002)	Loss 2.0147 (1.9328)	Prec@1 46.875 (50.057)	Prec@5 81.250 (79.862)
Epoch: [61][5480/14090]	Time 0.733 (0.768)	Data 0.001 (0.002)	Loss 2.2561 (1.9329)	Prec@1 42.969 (50.049)	Prec@5 75.781 (79.861)
Epoch: [61][5490/14090]	Time 0.755 (0.768)	Data 0.001 (0.002)	Loss 2.0715 (1.9329)	Prec@1 49.219 (50.052)	Prec@5 78.125 (79.861)
Epoch: [61][5500/14090]	Time 0.726 (0.768)	Data 0.001 (0.002)	Loss 2.0787 (1.9329)	Prec@1 49.219 (50.054)	Prec@5 75.781 (79.861)
Epoch: [61][5510/14090]	Time 0.727 (0.768)	Data 0.001 (0.002)	Loss 1.7693 (1.9328)	Prec@1 52.344 (50.057)	Prec@5 84.375 (79.862)
Epoch: [61][5520/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 1.7958 (1.9328)	Prec@1 49.219 (50.055)	Prec@5 81.250 (79.863)
Epoch: [61][5530/14090]	Time 0.862 (0.768)	Data 0.001 (0.002)	Loss 1.9112 (1.9329)	Prec@1 46.875 (50.055)	Prec@5 77.344 (79.863)
Epoch: [61][5540/14090]	Time 0.762 (0.768)	Data 0.001 (0.002)	Loss 1.8194 (1.9330)	Prec@1 53.125 (50.055)	Prec@5 82.812 (79.862)
Epoch: [61][5550/14090]	Time 0.730 (0.768)	Data 0.001 (0.002)	Loss 1.9115 (1.9331)	Prec@1 50.000 (50.051)	Prec@5 80.469 (79.860)
Epoch: [61][5560/14090]	Time 0.768 (0.768)	Data 0.001 (0.002)	Loss 1.9500 (1.9329)	Prec@1 50.781 (50.054)	Prec@5 78.906 (79.864)
Epoch: [61][5570/14090]	Time 0.759 (0.768)	Data 0.001 (0.002)	Loss 1.9266 (1.9329)	Prec@1 52.344 (50.055)	Prec@5 80.469 (79.863)
Epoch: [61][5580/14090]	Time 0.760 (0.768)	Data 0.001 (0.002)	Loss 1.8170 (1.9329)	Prec@1 50.000 (50.053)	Prec@5 82.031 (79.862)
Epoch: [61][5590/14090]	Time 0.747 (0.768)	Data 0.001 (0.002)	Loss 2.1231 (1.9330)	Prec@1 47.656 (50.051)	Prec@5 74.219 (79.860)
Epoch: [61][5600/14090]	Time 0.882 (0.768)	Data 0.001 (0.002)	Loss 2.2235 (1.9330)	Prec@1 53.125 (50.052)	Prec@5 73.438 (79.861)
Epoch: [61][5610/14090]	Time 0.747 (0.768)	Data 0.001 (0.002)	Loss 2.2621 (1.9330)	Prec@1 36.719 (50.052)	Prec@5 78.125 (79.863)
Epoch: [61][5620/14090]	Time 0.771 (0.768)	Data 0.001 (0.002)	Loss 1.6845 (1.9330)	Prec@1 55.469 (50.050)	Prec@5 83.594 (79.863)
Epoch: [61][5630/14090]	Time 0.732 (0.768)	Data 0.001 (0.002)	Loss 1.9343 (1.9331)	Prec@1 51.562 (50.050)	Prec@5 79.688 (79.863)
Epoch: [61][5640/14090]	Time 0.727 (0.768)	Data 0.001 (0.002)	Loss 1.9027 (1.9332)	Prec@1 46.094 (50.048)	Prec@5 77.344 (79.862)
Epoch: [61][5650/14090]	Time 0.735 (0.768)	Data 0.001 (0.002)	Loss 1.9723 (1.9331)	Prec@1 49.219 (50.049)	Prec@5 76.562 (79.863)
Epoch: [61][5660/14090]	Time 0.727 (0.768)	Data 0.001 (0.002)	Loss 1.7359 (1.9330)	Prec@1 53.125 (50.052)	Prec@5 83.594 (79.866)
Epoch: [61][5670/14090]	Time 0.880 (0.768)	Data 0.001 (0.002)	Loss 1.9733 (1.9330)	Prec@1 48.438 (50.049)	Prec@5 81.250 (79.866)
Epoch: [61][5680/14090]	Time 0.749 (0.768)	Data 0.001 (0.002)	Loss 1.8556 (1.9329)	Prec@1 50.000 (50.052)	Prec@5 75.000 (79.865)
Epoch: [61][5690/14090]	Time 0.756 (0.768)	Data 0.001 (0.002)	Loss 1.9236 (1.9329)	Prec@1 47.656 (50.052)	Prec@5 82.812 (79.865)
Epoch: [61][5700/14090]	Time 0.763 (0.768)	Data 0.001 (0.002)	Loss 2.2303 (1.9329)	Prec@1 41.406 (50.054)	Prec@5 77.344 (79.865)
Epoch: [61][5710/14090]	Time 0.756 (0.768)	Data 0.001 (0.002)	Loss 2.0154 (1.9327)	Prec@1 44.531 (50.057)	Prec@5 75.781 (79.867)
Epoch: [61][5720/14090]	Time 0.759 (0.768)	Data 0.001 (0.002)	Loss 1.7865 (1.9326)	Prec@1 57.031 (50.062)	Prec@5 82.812 (79.867)
Epoch: [61][5730/14090]	Time 0.728 (0.768)	Data 0.001 (0.002)	Loss 1.8357 (1.9325)	Prec@1 46.094 (50.064)	Prec@5 81.250 (79.869)
Epoch: [61][5740/14090]	Time 0.883 (0.768)	Data 0.001 (0.002)	Loss 1.7769 (1.9324)	Prec@1 59.375 (50.068)	Prec@5 78.906 (79.872)
Epoch: [61][5750/14090]	Time 0.730 (0.768)	Data 0.001 (0.002)	Loss 1.7888 (1.9323)	Prec@1 56.250 (50.070)	Prec@5 78.906 (79.873)
Epoch: [61][5760/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 2.1461 (1.9323)	Prec@1 44.531 (50.068)	Prec@5 76.562 (79.873)
Epoch: [61][5770/14090]	Time 0.757 (0.768)	Data 0.001 (0.002)	Loss 1.6856 (1.9323)	Prec@1 58.594 (50.068)	Prec@5 83.594 (79.873)
Epoch: [61][5780/14090]	Time 0.738 (0.768)	Data 0.001 (0.002)	Loss 1.8222 (1.9324)	Prec@1 53.125 (50.064)	Prec@5 83.594 (79.871)
Epoch: [61][5790/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 2.2365 (1.9325)	Prec@1 46.875 (50.063)	Prec@5 72.656 (79.868)
Epoch: [61][5800/14090]	Time 0.732 (0.768)	Data 0.001 (0.002)	Loss 1.9822 (1.9326)	Prec@1 49.219 (50.059)	Prec@5 79.688 (79.866)
Epoch: [61][5810/14090]	Time 0.858 (0.768)	Data 0.001 (0.002)	Loss 2.2584 (1.9326)	Prec@1 44.531 (50.059)	Prec@5 75.000 (79.867)
Epoch: [61][5820/14090]	Time 0.745 (0.768)	Data 0.001 (0.002)	Loss 1.6981 (1.9324)	Prec@1 58.594 (50.063)	Prec@5 86.719 (79.872)
Epoch: [61][5830/14090]	Time 0.739 (0.768)	Data 0.001 (0.002)	Loss 1.8861 (1.9325)	Prec@1 43.750 (50.059)	Prec@5 81.250 (79.871)
Epoch: [61][5840/14090]	Time 0.747 (0.768)	Data 0.001 (0.002)	Loss 1.9527 (1.9325)	Prec@1 50.000 (50.056)	Prec@5 80.469 (79.872)
Epoch: [61][5850/14090]	Time 0.762 (0.768)	Data 0.001 (0.002)	Loss 1.9770 (1.9323)	Prec@1 53.125 (50.061)	Prec@5 77.344 (79.874)
Epoch: [61][5860/14090]	Time 0.750 (0.768)	Data 0.001 (0.002)	Loss 2.0305 (1.9325)	Prec@1 47.656 (50.059)	Prec@5 82.812 (79.872)
Epoch: [61][5870/14090]	Time 0.735 (0.768)	Data 0.001 (0.002)	Loss 1.8428 (1.9325)	Prec@1 46.094 (50.054)	Prec@5 84.375 (79.873)
Epoch: [61][5880/14090]	Time 0.880 (0.768)	Data 0.001 (0.002)	Loss 1.6773 (1.9326)	Prec@1 57.812 (50.053)	Prec@5 86.719 (79.872)
Epoch: [61][5890/14090]	Time 0.739 (0.768)	Data 0.001 (0.002)	Loss 2.0191 (1.9326)	Prec@1 48.438 (50.055)	Prec@5 76.562 (79.870)
Epoch: [61][5900/14090]	Time 0.736 (0.768)	Data 0.001 (0.002)	Loss 1.6489 (1.9325)	Prec@1 57.031 (50.057)	Prec@5 84.375 (79.870)
Epoch: [61][5910/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 1.7877 (1.9326)	Prec@1 53.125 (50.054)	Prec@5 82.812 (79.867)
Epoch: [61][5920/14090]	Time 0.753 (0.768)	Data 0.001 (0.002)	Loss 1.8466 (1.9327)	Prec@1 56.250 (50.054)	Prec@5 81.250 (79.865)
Epoch: [61][5930/14090]	Time 0.758 (0.768)	Data 0.001 (0.002)	Loss 2.2560 (1.9328)	Prec@1 46.875 (50.053)	Prec@5 77.344 (79.864)
Epoch: [61][5940/14090]	Time 0.760 (0.768)	Data 0.001 (0.002)	Loss 2.0463 (1.9328)	Prec@1 48.438 (50.055)	Prec@5 77.344 (79.864)
Epoch: [61][5950/14090]	Time 0.848 (0.768)	Data 0.001 (0.002)	Loss 1.8299 (1.9329)	Prec@1 53.125 (50.052)	Prec@5 80.469 (79.862)
Epoch: [61][5960/14090]	Time 0.737 (0.768)	Data 0.001 (0.002)	Loss 1.7655 (1.9330)	Prec@1 53.125 (50.052)	Prec@5 83.594 (79.862)
Epoch: [61][5970/14090]	Time 0.748 (0.768)	Data 0.001 (0.002)	Loss 2.0325 (1.9330)	Prec@1 48.438 (50.057)	Prec@5 79.688 (79.860)
Epoch: [61][5980/14090]	Time 0.743 (0.768)	Data 0.001 (0.002)	Loss 1.7295 (1.9329)	Prec@1 53.906 (50.057)	Prec@5 82.812 (79.864)
Epoch: [61][5990/14090]	Time 0.737 (0.768)	Data 0.001 (0.002)	Loss 1.9438 (1.9327)	Prec@1 47.656 (50.061)	Prec@5 82.812 (79.867)
Epoch: [61][6000/14090]	Time 0.749 (0.768)	Data 0.001 (0.002)	Loss 1.9613 (1.9327)	Prec@1 48.438 (50.060)	Prec@5 79.688 (79.868)
Epoch: [61][6010/14090]	Time 0.766 (0.768)	Data 0.001 (0.002)	Loss 2.1354 (1.9327)	Prec@1 47.656 (50.059)	Prec@5 72.656 (79.866)
Epoch: [61][6020/14090]	Time 0.850 (0.768)	Data 0.001 (0.002)	Loss 1.7379 (1.9327)	Prec@1 57.031 (50.058)	Prec@5 85.938 (79.867)
Epoch: [61][6030/14090]	Time 0.766 (0.768)	Data 0.001 (0.002)	Loss 1.7543 (1.9327)	Prec@1 52.344 (50.059)	Prec@5 83.594 (79.869)
Epoch: [61][6040/14090]	Time 0.749 (0.768)	Data 0.001 (0.002)	Loss 1.8791 (1.9327)	Prec@1 53.125 (50.060)	Prec@5 81.250 (79.867)
Epoch: [61][6050/14090]	Time 0.732 (0.768)	Data 0.001 (0.002)	Loss 2.2826 (1.9328)	Prec@1 42.188 (50.057)	Prec@5 81.250 (79.867)
Epoch: [61][6060/14090]	Time 0.739 (0.768)	Data 0.001 (0.002)	Loss 1.7066 (1.9328)	Prec@1 58.594 (50.057)	Prec@5 82.812 (79.867)
Epoch: [61][6070/14090]	Time 0.745 (0.768)	Data 0.001 (0.002)	Loss 1.9255 (1.9328)	Prec@1 46.094 (50.060)	Prec@5 76.562 (79.865)
Epoch: [61][6080/14090]	Time 0.758 (0.768)	Data 0.001 (0.002)	Loss 2.1225 (1.9331)	Prec@1 46.875 (50.053)	Prec@5 73.438 (79.860)
Epoch: [61][6090/14090]	Time 0.906 (0.768)	Data 0.001 (0.002)	Loss 1.8243 (1.9330)	Prec@1 57.031 (50.056)	Prec@5 79.688 (79.860)
Epoch: [61][6100/14090]	Time 0.763 (0.768)	Data 0.001 (0.002)	Loss 1.8274 (1.9330)	Prec@1 50.000 (50.057)	Prec@5 81.250 (79.861)
Epoch: [61][6110/14090]	Time 0.726 (0.768)	Data 0.001 (0.002)	Loss 2.1616 (1.9330)	Prec@1 44.531 (50.058)	Prec@5 71.094 (79.860)
Epoch: [61][6120/14090]	Time 0.735 (0.768)	Data 0.001 (0.002)	Loss 2.2522 (1.9331)	Prec@1 48.438 (50.056)	Prec@5 73.438 (79.856)
Epoch: [61][6130/14090]	Time 0.727 (0.768)	Data 0.001 (0.002)	Loss 1.9802 (1.9331)	Prec@1 45.312 (50.055)	Prec@5 80.469 (79.858)
Epoch: [61][6140/14090]	Time 0.737 (0.768)	Data 0.001 (0.002)	Loss 1.6832 (1.9330)	Prec@1 57.031 (50.058)	Prec@5 85.938 (79.859)
Epoch: [61][6150/14090]	Time 0.750 (0.768)	Data 0.001 (0.002)	Loss 1.9403 (1.9329)	Prec@1 51.562 (50.058)	Prec@5 78.906 (79.859)
Epoch: [61][6160/14090]	Time 0.827 (0.768)	Data 0.001 (0.002)	Loss 1.9646 (1.9329)	Prec@1 50.000 (50.058)	Prec@5 79.688 (79.859)
Epoch: [61][6170/14090]	Time 0.743 (0.768)	Data 0.001 (0.002)	Loss 2.0139 (1.9331)	Prec@1 51.562 (50.056)	Prec@5 75.000 (79.856)
Epoch: [61][6180/14090]	Time 0.733 (0.768)	Data 0.001 (0.002)	Loss 1.8310 (1.9331)	Prec@1 50.000 (50.056)	Prec@5 81.250 (79.856)
Epoch: [61][6190/14090]	Time 0.776 (0.768)	Data 0.001 (0.002)	Loss 2.1903 (1.9332)	Prec@1 43.750 (50.053)	Prec@5 71.875 (79.855)
Epoch: [61][6200/14090]	Time 0.743 (0.768)	Data 0.001 (0.002)	Loss 1.8683 (1.9332)	Prec@1 50.781 (50.051)	Prec@5 78.906 (79.856)
Epoch: [61][6210/14090]	Time 0.750 (0.768)	Data 0.001 (0.002)	Loss 2.0678 (1.9332)	Prec@1 44.531 (50.051)	Prec@5 78.125 (79.856)
Epoch: [61][6220/14090]	Time 0.754 (0.768)	Data 0.001 (0.002)	Loss 1.9103 (1.9332)	Prec@1 51.562 (50.051)	Prec@5 78.906 (79.855)
Epoch: [61][6230/14090]	Time 0.824 (0.768)	Data 0.001 (0.002)	Loss 1.9269 (1.9332)	Prec@1 51.562 (50.051)	Prec@5 78.125 (79.855)
Epoch: [61][6240/14090]	Time 0.750 (0.768)	Data 0.001 (0.002)	Loss 1.8829 (1.9333)	Prec@1 51.562 (50.049)	Prec@5 80.469 (79.853)
Epoch: [61][6250/14090]	Time 0.727 (0.768)	Data 0.001 (0.002)	Loss 1.8694 (1.9331)	Prec@1 50.781 (50.050)	Prec@5 78.125 (79.854)
Epoch: [61][6260/14090]	Time 0.737 (0.768)	Data 0.001 (0.002)	Loss 1.9736 (1.9330)	Prec@1 47.656 (50.051)	Prec@5 82.031 (79.858)
Epoch: [61][6270/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 1.9888 (1.9329)	Prec@1 48.438 (50.052)	Prec@5 78.906 (79.860)
Epoch: [61][6280/14090]	Time 0.755 (0.768)	Data 0.001 (0.002)	Loss 1.9517 (1.9329)	Prec@1 51.562 (50.055)	Prec@5 81.250 (79.862)
Epoch: [61][6290/14090]	Time 0.734 (0.768)	Data 0.001 (0.002)	Loss 1.9047 (1.9329)	Prec@1 52.344 (50.053)	Prec@5 82.812 (79.864)
Epoch: [61][6300/14090]	Time 0.874 (0.768)	Data 0.001 (0.002)	Loss 1.9283 (1.9328)	Prec@1 51.562 (50.055)	Prec@5 80.469 (79.865)
Epoch: [61][6310/14090]	Time 0.732 (0.768)	Data 0.001 (0.002)	Loss 1.8186 (1.9328)	Prec@1 55.469 (50.054)	Prec@5 80.469 (79.863)
Epoch: [61][6320/14090]	Time 0.746 (0.768)	Data 0.001 (0.002)	Loss 2.0061 (1.9329)	Prec@1 47.656 (50.055)	Prec@5 75.000 (79.862)
Epoch: [61][6330/14090]	Time 0.735 (0.768)	Data 0.001 (0.002)	Loss 1.9829 (1.9330)	Prec@1 53.906 (50.053)	Prec@5 79.688 (79.861)
Epoch: [61][6340/14090]	Time 0.771 (0.768)	Data 0.001 (0.002)	Loss 2.1310 (1.9330)	Prec@1 44.531 (50.053)	Prec@5 78.125 (79.863)
Epoch: [61][6350/14090]	Time 0.753 (0.768)	Data 0.001 (0.002)	Loss 2.1349 (1.9331)	Prec@1 42.969 (50.051)	Prec@5 75.781 (79.860)
Epoch: [61][6360/14090]	Time 0.752 (0.768)	Data 0.002 (0.002)	Loss 1.8973 (1.9331)	Prec@1 40.625 (50.050)	Prec@5 75.000 (79.860)
Epoch: [61][6370/14090]	Time 0.880 (0.768)	Data 0.001 (0.002)	Loss 1.8060 (1.9331)	Prec@1 52.344 (50.047)	Prec@5 81.250 (79.861)
Epoch: [61][6380/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 2.1456 (1.9332)	Prec@1 40.625 (50.042)	Prec@5 78.125 (79.858)
Epoch: [61][6390/14090]	Time 0.777 (0.768)	Data 0.001 (0.002)	Loss 1.6790 (1.9332)	Prec@1 55.469 (50.042)	Prec@5 86.719 (79.858)
Epoch: [61][6400/14090]	Time 0.764 (0.768)	Data 0.001 (0.002)	Loss 1.8500 (1.9332)	Prec@1 57.031 (50.043)	Prec@5 80.469 (79.860)
Epoch: [61][6410/14090]	Time 0.745 (0.768)	Data 0.001 (0.002)	Loss 2.0481 (1.9332)	Prec@1 42.188 (50.041)	Prec@5 79.688 (79.859)
Epoch: [61][6420/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 1.9418 (1.9332)	Prec@1 52.344 (50.044)	Prec@5 77.344 (79.858)
Epoch: [61][6430/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 1.9527 (1.9332)	Prec@1 53.125 (50.046)	Prec@5 78.906 (79.859)
Epoch: [61][6440/14090]	Time 0.850 (0.768)	Data 0.001 (0.002)	Loss 2.1564 (1.9331)	Prec@1 43.750 (50.050)	Prec@5 76.562 (79.862)
Epoch: [61][6450/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 1.6594 (1.9332)	Prec@1 57.812 (50.048)	Prec@5 85.156 (79.860)
Epoch: [61][6460/14090]	Time 0.757 (0.768)	Data 0.002 (0.002)	Loss 2.0120 (1.9332)	Prec@1 49.219 (50.050)	Prec@5 78.906 (79.859)
Epoch: [61][6470/14090]	Time 0.729 (0.768)	Data 0.001 (0.002)	Loss 1.5362 (1.9331)	Prec@1 60.156 (50.051)	Prec@5 86.719 (79.860)
Epoch: [61][6480/14090]	Time 0.728 (0.768)	Data 0.001 (0.002)	Loss 2.1409 (1.9331)	Prec@1 38.281 (50.047)	Prec@5 79.688 (79.862)
Epoch: [61][6490/14090]	Time 0.741 (0.768)	Data 0.001 (0.002)	Loss 1.7645 (1.9330)	Prec@1 56.250 (50.049)	Prec@5 81.250 (79.863)
Epoch: [61][6500/14090]	Time 0.762 (0.768)	Data 0.001 (0.002)	Loss 1.9277 (1.9330)	Prec@1 50.000 (50.046)	Prec@5 78.125 (79.861)
Epoch: [61][6510/14090]	Time 0.814 (0.768)	Data 0.001 (0.002)	Loss 1.9556 (1.9331)	Prec@1 45.312 (50.046)	Prec@5 78.125 (79.861)
Epoch: [61][6520/14090]	Time 0.732 (0.768)	Data 0.001 (0.002)	Loss 2.1188 (1.9331)	Prec@1 49.219 (50.045)	Prec@5 74.219 (79.860)
Epoch: [61][6530/14090]	Time 0.735 (0.768)	Data 0.001 (0.002)	Loss 1.7634 (1.9329)	Prec@1 50.781 (50.046)	Prec@5 86.719 (79.863)
Epoch: [61][6540/14090]	Time 0.732 (0.768)	Data 0.001 (0.002)	Loss 1.8751 (1.9329)	Prec@1 53.125 (50.045)	Prec@5 82.812 (79.862)
Epoch: [61][6550/14090]	Time 0.762 (0.768)	Data 0.001 (0.002)	Loss 1.6592 (1.9329)	Prec@1 57.812 (50.048)	Prec@5 82.812 (79.864)
Epoch: [61][6560/14090]	Time 0.749 (0.768)	Data 0.001 (0.002)	Loss 1.5813 (1.9329)	Prec@1 57.031 (50.047)	Prec@5 85.938 (79.864)
Epoch: [61][6570/14090]	Time 0.731 (0.768)	Data 0.001 (0.002)	Loss 2.2871 (1.9329)	Prec@1 40.625 (50.044)	Prec@5 70.312 (79.862)
Epoch: [61][6580/14090]	Time 0.888 (0.768)	Data 0.001 (0.002)	Loss 2.0036 (1.9328)	Prec@1 49.219 (50.049)	Prec@5 84.375 (79.864)
Epoch: [61][6590/14090]	Time 0.724 (0.768)	Data 0.001 (0.002)	Loss 1.8968 (1.9328)	Prec@1 45.312 (50.049)	Prec@5 80.469 (79.864)
Epoch: [61][6600/14090]	Time 0.747 (0.768)	Data 0.001 (0.002)	Loss 2.3739 (1.9328)	Prec@1 44.531 (50.049)	Prec@5 71.875 (79.865)
Epoch: [61][6610/14090]	Time 0.738 (0.768)	Data 0.001 (0.002)	Loss 2.1573 (1.9329)	Prec@1 49.219 (50.048)	Prec@5 76.562 (79.865)
Epoch: [61][6620/14090]	Time 0.726 (0.768)	Data 0.001 (0.002)	Loss 2.1653 (1.9329)	Prec@1 46.875 (50.047)	Prec@5 69.531 (79.863)
Epoch: [61][6630/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 1.9634 (1.9328)	Prec@1 50.781 (50.049)	Prec@5 78.125 (79.865)
Epoch: [61][6640/14090]	Time 0.745 (0.768)	Data 0.001 (0.002)	Loss 1.6160 (1.9328)	Prec@1 57.812 (50.049)	Prec@5 82.812 (79.866)
Epoch: [61][6650/14090]	Time 0.850 (0.768)	Data 0.001 (0.002)	Loss 2.2009 (1.9329)	Prec@1 41.406 (50.052)	Prec@5 78.125 (79.865)
Epoch: [61][6660/14090]	Time 0.748 (0.768)	Data 0.001 (0.002)	Loss 1.7132 (1.9328)	Prec@1 51.562 (50.054)	Prec@5 85.156 (79.866)
Epoch: [61][6670/14090]	Time 0.764 (0.768)	Data 0.001 (0.002)	Loss 2.0900 (1.9328)	Prec@1 44.531 (50.052)	Prec@5 75.781 (79.867)
Epoch: [61][6680/14090]	Time 0.735 (0.768)	Data 0.001 (0.002)	Loss 2.0538 (1.9328)	Prec@1 46.875 (50.053)	Prec@5 80.469 (79.867)
Epoch: [61][6690/14090]	Time 0.760 (0.768)	Data 0.001 (0.002)	Loss 1.9017 (1.9328)	Prec@1 47.656 (50.055)	Prec@5 78.906 (79.868)
Epoch: [61][6700/14090]	Time 0.739 (0.768)	Data 0.001 (0.002)	Loss 1.8676 (1.9328)	Prec@1 53.125 (50.055)	Prec@5 79.688 (79.868)
Epoch: [61][6710/14090]	Time 0.765 (0.768)	Data 0.001 (0.002)	Loss 2.0220 (1.9328)	Prec@1 48.438 (50.056)	Prec@5 79.688 (79.868)
Epoch: [61][6720/14090]	Time 0.845 (0.768)	Data 0.001 (0.002)	Loss 1.9992 (1.9328)	Prec@1 50.781 (50.055)	Prec@5 77.344 (79.865)
Epoch: [61][6730/14090]	Time 0.771 (0.768)	Data 0.001 (0.002)	Loss 2.3025 (1.9329)	Prec@1 39.844 (50.054)	Prec@5 72.656 (79.865)
Epoch: [61][6740/14090]	Time 0.766 (0.768)	Data 0.001 (0.002)	Loss 2.1645 (1.9331)	Prec@1 42.969 (50.049)	Prec@5 73.438 (79.862)
Epoch: [61][6750/14090]	Time 0.754 (0.768)	Data 0.001 (0.002)	Loss 1.9832 (1.9331)	Prec@1 47.656 (50.046)	Prec@5 80.469 (79.862)
Epoch: [61][6760/14090]	Time 0.735 (0.768)	Data 0.001 (0.002)	Loss 1.8832 (1.9331)	Prec@1 48.438 (50.044)	Prec@5 80.469 (79.863)
Epoch: [61][6770/14090]	Time 0.739 (0.768)	Data 0.001 (0.002)	Loss 2.0251 (1.9332)	Prec@1 49.219 (50.045)	Prec@5 75.000 (79.861)
Epoch: [61][6780/14090]	Time 0.767 (0.768)	Data 0.001 (0.002)	Loss 2.1321 (1.9332)	Prec@1 46.094 (50.044)	Prec@5 71.094 (79.862)
Epoch: [61][6790/14090]	Time 0.880 (0.768)	Data 0.001 (0.002)	Loss 1.8432 (1.9331)	Prec@1 54.688 (50.044)	Prec@5 80.469 (79.862)
Epoch: [61][6800/14090]	Time 0.726 (0.768)	Data 0.001 (0.002)	Loss 2.0392 (1.9332)	Prec@1 50.000 (50.044)	Prec@5 78.906 (79.859)
Epoch: [61][6810/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 1.7623 (1.9333)	Prec@1 55.469 (50.044)	Prec@5 82.812 (79.859)
Epoch: [61][6820/14090]	Time 0.735 (0.768)	Data 0.001 (0.002)	Loss 2.1352 (1.9333)	Prec@1 41.406 (50.043)	Prec@5 78.125 (79.858)
Epoch: [61][6830/14090]	Time 0.743 (0.768)	Data 0.001 (0.002)	Loss 2.0555 (1.9333)	Prec@1 46.875 (50.043)	Prec@5 78.125 (79.858)
Epoch: [61][6840/14090]	Time 0.758 (0.768)	Data 0.001 (0.002)	Loss 1.9074 (1.9332)	Prec@1 48.438 (50.046)	Prec@5 82.812 (79.861)
Epoch: [61][6850/14090]	Time 0.738 (0.768)	Data 0.001 (0.002)	Loss 2.1063 (1.9332)	Prec@1 39.844 (50.046)	Prec@5 78.125 (79.862)
Epoch: [61][6860/14090]	Time 0.877 (0.768)	Data 0.001 (0.002)	Loss 1.8375 (1.9331)	Prec@1 50.000 (50.046)	Prec@5 83.594 (79.864)
Epoch: [61][6870/14090]	Time 0.733 (0.768)	Data 0.001 (0.002)	Loss 2.2150 (1.9330)	Prec@1 46.094 (50.047)	Prec@5 77.344 (79.865)
Epoch: [61][6880/14090]	Time 0.725 (0.768)	Data 0.001 (0.002)	Loss 1.5923 (1.9330)	Prec@1 54.688 (50.047)	Prec@5 89.062 (79.865)
Epoch: [61][6890/14090]	Time 0.729 (0.768)	Data 0.001 (0.002)	Loss 1.9465 (1.9330)	Prec@1 46.094 (50.045)	Prec@5 78.906 (79.866)
Epoch: [61][6900/14090]	Time 0.744 (0.768)	Data 0.001 (0.002)	Loss 1.8522 (1.9330)	Prec@1 52.344 (50.045)	Prec@5 83.594 (79.866)
Epoch: [61][6910/14090]	Time 0.752 (0.768)	Data 0.001 (0.002)	Loss 1.8678 (1.9331)	Prec@1 54.688 (50.045)	Prec@5 74.219 (79.866)
Epoch: [61][6920/14090]	Time 0.738 (0.768)	Data 0.002 (0.002)	Loss 1.9465 (1.9331)	Prec@1 49.219 (50.045)	Prec@5 78.125 (79.865)
Epoch: [61][6930/14090]	Time 0.829 (0.768)	Data 0.001 (0.002)	Loss 1.7211 (1.9330)	Prec@1 51.562 (50.045)	Prec@5 85.156 (79.866)
Epoch: [61][6940/14090]	Time 0.744 (0.768)	Data 0.001 (0.002)	Loss 1.9005 (1.9331)	Prec@1 50.000 (50.045)	Prec@5 77.344 (79.865)
Epoch: [61][6950/14090]	Time 0.743 (0.768)	Data 0.001 (0.002)	Loss 1.7786 (1.9330)	Prec@1 56.250 (50.046)	Prec@5 84.375 (79.867)
Epoch: [61][6960/14090]	Time 0.736 (0.768)	Data 0.001 (0.002)	Loss 1.8498 (1.9329)	Prec@1 51.562 (50.046)	Prec@5 81.250 (79.869)
Epoch: [61][6970/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 2.1247 (1.9330)	Prec@1 44.531 (50.045)	Prec@5 74.219 (79.869)
Epoch: [61][6980/14090]	Time 0.762 (0.768)	Data 0.001 (0.002)	Loss 2.1747 (1.9329)	Prec@1 45.312 (50.046)	Prec@5 74.219 (79.869)
Epoch: [61][6990/14090]	Time 0.756 (0.768)	Data 0.001 (0.002)	Loss 1.7547 (1.9329)	Prec@1 53.125 (50.045)	Prec@5 85.156 (79.870)
Epoch: [61][7000/14090]	Time 0.828 (0.768)	Data 0.001 (0.002)	Loss 2.1601 (1.9329)	Prec@1 42.969 (50.045)	Prec@5 74.219 (79.867)
Epoch: [61][7010/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 1.9033 (1.9329)	Prec@1 50.781 (50.047)	Prec@5 79.688 (79.868)
Epoch: [61][7020/14090]	Time 0.776 (0.767)	Data 0.001 (0.002)	Loss 1.8688 (1.9328)	Prec@1 55.469 (50.050)	Prec@5 78.125 (79.868)
Epoch: [61][7030/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 1.7195 (1.9328)	Prec@1 53.125 (50.051)	Prec@5 81.250 (79.868)
Epoch: [61][7040/14090]	Time 0.782 (0.767)	Data 0.001 (0.002)	Loss 2.0711 (1.9327)	Prec@1 51.562 (50.054)	Prec@5 78.125 (79.869)
Epoch: [61][7050/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 2.1542 (1.9327)	Prec@1 42.969 (50.052)	Prec@5 73.438 (79.867)
Epoch: [61][7060/14090]	Time 0.767 (0.767)	Data 0.001 (0.002)	Loss 1.9668 (1.9328)	Prec@1 50.781 (50.052)	Prec@5 78.906 (79.866)
Epoch: [61][7070/14090]	Time 0.836 (0.767)	Data 0.001 (0.002)	Loss 1.9245 (1.9328)	Prec@1 50.000 (50.051)	Prec@5 75.000 (79.867)
Epoch: [61][7080/14090]	Time 0.728 (0.767)	Data 0.001 (0.002)	Loss 1.8562 (1.9329)	Prec@1 47.656 (50.050)	Prec@5 81.250 (79.866)
Epoch: [61][7090/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 1.6857 (1.9328)	Prec@1 52.344 (50.050)	Prec@5 84.375 (79.869)
Epoch: [61][7100/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 2.0861 (1.9328)	Prec@1 47.656 (50.048)	Prec@5 77.344 (79.870)
Epoch: [61][7110/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 1.9135 (1.9328)	Prec@1 47.656 (50.049)	Prec@5 82.031 (79.871)
Epoch: [61][7120/14090]	Time 0.735 (0.768)	Data 0.001 (0.002)	Loss 1.8186 (1.9326)	Prec@1 55.469 (50.054)	Prec@5 82.031 (79.875)
Epoch: [61][7130/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 2.2116 (1.9327)	Prec@1 48.438 (50.052)	Prec@5 73.438 (79.871)
Epoch: [61][7140/14090]	Time 0.880 (0.768)	Data 0.001 (0.002)	Loss 1.7575 (1.9327)	Prec@1 57.812 (50.054)	Prec@5 82.812 (79.872)
Epoch: [61][7150/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 2.0790 (1.9326)	Prec@1 44.531 (50.056)	Prec@5 75.781 (79.874)
Epoch: [61][7160/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 1.9652 (1.9326)	Prec@1 44.531 (50.055)	Prec@5 76.562 (79.873)
Epoch: [61][7170/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 2.0080 (1.9326)	Prec@1 54.688 (50.056)	Prec@5 80.469 (79.871)
Epoch: [61][7180/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 1.8161 (1.9325)	Prec@1 48.438 (50.057)	Prec@5 84.375 (79.874)
Epoch: [61][7190/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 1.9612 (1.9326)	Prec@1 48.438 (50.056)	Prec@5 78.906 (79.872)
Epoch: [61][7200/14090]	Time 0.728 (0.767)	Data 0.001 (0.002)	Loss 1.8345 (1.9325)	Prec@1 54.688 (50.058)	Prec@5 82.031 (79.874)
Epoch: [61][7210/14090]	Time 0.872 (0.767)	Data 0.001 (0.002)	Loss 1.9740 (1.9325)	Prec@1 53.125 (50.059)	Prec@5 76.562 (79.873)
Epoch: [61][7220/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 1.9279 (1.9325)	Prec@1 53.906 (50.058)	Prec@5 77.344 (79.873)
Epoch: [61][7230/14090]	Time 0.782 (0.767)	Data 0.001 (0.002)	Loss 1.8817 (1.9325)	Prec@1 56.250 (50.058)	Prec@5 78.125 (79.873)
Epoch: [61][7240/14090]	Time 0.727 (0.767)	Data 0.001 (0.002)	Loss 1.9827 (1.9324)	Prec@1 42.188 (50.060)	Prec@5 81.250 (79.874)
Epoch: [61][7250/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.1401 (1.9325)	Prec@1 45.312 (50.056)	Prec@5 74.219 (79.873)
Epoch: [61][7260/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 1.6725 (1.9325)	Prec@1 56.250 (50.058)	Prec@5 86.719 (79.874)
Epoch: [61][7270/14090]	Time 0.728 (0.767)	Data 0.001 (0.002)	Loss 1.8356 (1.9325)	Prec@1 55.469 (50.059)	Prec@5 79.688 (79.876)
Epoch: [61][7280/14090]	Time 0.864 (0.767)	Data 0.001 (0.002)	Loss 1.8338 (1.9327)	Prec@1 53.906 (50.054)	Prec@5 80.469 (79.872)
Epoch: [61][7290/14090]	Time 0.773 (0.767)	Data 0.001 (0.002)	Loss 1.6617 (1.9327)	Prec@1 53.125 (50.052)	Prec@5 86.719 (79.871)
Epoch: [61][7300/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 1.7776 (1.9327)	Prec@1 51.562 (50.052)	Prec@5 83.594 (79.870)
Epoch: [61][7310/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 1.7841 (1.9326)	Prec@1 44.531 (50.053)	Prec@5 88.281 (79.873)
Epoch: [61][7320/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 2.0100 (1.9325)	Prec@1 45.312 (50.054)	Prec@5 78.906 (79.877)
Epoch: [61][7330/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 1.8904 (1.9325)	Prec@1 53.125 (50.056)	Prec@5 82.031 (79.877)
Epoch: [61][7340/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 1.9037 (1.9324)	Prec@1 45.312 (50.055)	Prec@5 82.031 (79.878)
Epoch: [61][7350/14090]	Time 0.873 (0.767)	Data 0.001 (0.002)	Loss 1.7792 (1.9323)	Prec@1 56.250 (50.059)	Prec@5 82.812 (79.878)
Epoch: [61][7360/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 1.8812 (1.9323)	Prec@1 50.781 (50.060)	Prec@5 79.688 (79.878)
Epoch: [61][7370/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 1.5671 (1.9322)	Prec@1 56.250 (50.059)	Prec@5 84.375 (79.879)
Epoch: [61][7380/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 1.9250 (1.9322)	Prec@1 52.344 (50.060)	Prec@5 82.812 (79.883)
Epoch: [61][7390/14090]	Time 0.780 (0.767)	Data 0.001 (0.002)	Loss 2.1104 (1.9322)	Prec@1 54.688 (50.062)	Prec@5 75.000 (79.881)
Epoch: [61][7400/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 2.1218 (1.9323)	Prec@1 45.312 (50.058)	Prec@5 79.688 (79.878)
Epoch: [61][7410/14090]	Time 0.757 (0.767)	Data 0.001 (0.002)	Loss 2.0989 (1.9324)	Prec@1 43.750 (50.056)	Prec@5 76.562 (79.877)
Epoch: [61][7420/14090]	Time 0.874 (0.767)	Data 0.001 (0.002)	Loss 2.3133 (1.9324)	Prec@1 43.750 (50.053)	Prec@5 72.656 (79.876)
Epoch: [61][7430/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 2.0082 (1.9324)	Prec@1 45.312 (50.056)	Prec@5 76.562 (79.877)
Epoch: [61][7440/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 1.6353 (1.9324)	Prec@1 53.906 (50.055)	Prec@5 85.156 (79.876)
Epoch: [61][7450/14090]	Time 0.767 (0.767)	Data 0.001 (0.002)	Loss 1.8447 (1.9324)	Prec@1 51.562 (50.056)	Prec@5 82.812 (79.877)
Epoch: [61][7460/14090]	Time 0.768 (0.767)	Data 0.001 (0.002)	Loss 2.0233 (1.9324)	Prec@1 50.000 (50.057)	Prec@5 75.781 (79.875)
Epoch: [61][7470/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 1.6873 (1.9324)	Prec@1 57.031 (50.057)	Prec@5 82.812 (79.874)
Epoch: [61][7480/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 2.0310 (1.9324)	Prec@1 46.094 (50.057)	Prec@5 80.469 (79.875)
Epoch: [61][7490/14090]	Time 0.846 (0.767)	Data 0.001 (0.002)	Loss 1.6222 (1.9322)	Prec@1 59.375 (50.060)	Prec@5 83.594 (79.879)
Epoch: [61][7500/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 2.1815 (1.9322)	Prec@1 53.125 (50.062)	Prec@5 77.344 (79.880)
Epoch: [61][7510/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 1.9270 (1.9322)	Prec@1 52.344 (50.061)	Prec@5 77.344 (79.880)
Epoch: [61][7520/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 2.0724 (1.9323)	Prec@1 44.531 (50.060)	Prec@5 78.906 (79.878)
Epoch: [61][7530/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 1.6011 (1.9323)	Prec@1 54.688 (50.061)	Prec@5 84.375 (79.876)
Epoch: [61][7540/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 2.0141 (1.9323)	Prec@1 44.531 (50.061)	Prec@5 77.344 (79.875)
Epoch: [61][7550/14090]	Time 0.727 (0.767)	Data 0.001 (0.002)	Loss 1.9124 (1.9323)	Prec@1 48.438 (50.062)	Prec@5 81.250 (79.875)
Epoch: [61][7560/14090]	Time 0.881 (0.767)	Data 0.001 (0.002)	Loss 2.0391 (1.9323)	Prec@1 55.469 (50.062)	Prec@5 75.000 (79.875)
Epoch: [61][7570/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.1547 (1.9323)	Prec@1 41.406 (50.063)	Prec@5 79.688 (79.877)
Epoch: [61][7580/14090]	Time 0.723 (0.767)	Data 0.001 (0.002)	Loss 1.8024 (1.9323)	Prec@1 53.125 (50.064)	Prec@5 85.938 (79.877)
Epoch: [61][7590/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 2.0725 (1.9323)	Prec@1 43.750 (50.065)	Prec@5 78.125 (79.877)
Epoch: [61][7600/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 1.9455 (1.9323)	Prec@1 41.406 (50.064)	Prec@5 81.250 (79.876)
Epoch: [61][7610/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 2.0743 (1.9323)	Prec@1 42.188 (50.061)	Prec@5 75.781 (79.875)
Epoch: [61][7620/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 1.8370 (1.9323)	Prec@1 54.688 (50.064)	Prec@5 78.906 (79.876)
Epoch: [61][7630/14090]	Time 0.859 (0.767)	Data 0.001 (0.002)	Loss 1.9914 (1.9323)	Prec@1 46.094 (50.062)	Prec@5 78.125 (79.877)
Epoch: [61][7640/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 2.0374 (1.9322)	Prec@1 51.562 (50.063)	Prec@5 75.000 (79.876)
Epoch: [61][7650/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 1.8702 (1.9323)	Prec@1 43.750 (50.060)	Prec@5 83.594 (79.875)
Epoch: [61][7660/14090]	Time 0.772 (0.767)	Data 0.001 (0.002)	Loss 2.0340 (1.9324)	Prec@1 46.875 (50.061)	Prec@5 78.906 (79.874)
Epoch: [61][7670/14090]	Time 0.764 (0.767)	Data 0.001 (0.002)	Loss 1.7039 (1.9323)	Prec@1 55.469 (50.061)	Prec@5 83.594 (79.874)
Epoch: [61][7680/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 1.8676 (1.9323)	Prec@1 51.562 (50.062)	Prec@5 81.250 (79.874)
Epoch: [61][7690/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 1.9958 (1.9324)	Prec@1 53.906 (50.061)	Prec@5 75.781 (79.874)
Epoch: [61][7700/14090]	Time 0.869 (0.767)	Data 0.001 (0.002)	Loss 1.8868 (1.9322)	Prec@1 48.438 (50.066)	Prec@5 83.594 (79.877)
Epoch: [61][7710/14090]	Time 0.723 (0.767)	Data 0.001 (0.002)	Loss 1.7103 (1.9321)	Prec@1 52.344 (50.068)	Prec@5 83.594 (79.880)
Epoch: [61][7720/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 1.8853 (1.9320)	Prec@1 52.344 (50.070)	Prec@5 78.906 (79.880)
Epoch: [61][7730/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 2.0308 (1.9321)	Prec@1 46.094 (50.069)	Prec@5 81.250 (79.879)
Epoch: [61][7740/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 1.7537 (1.9322)	Prec@1 53.906 (50.069)	Prec@5 83.594 (79.879)
Epoch: [61][7750/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 1.7017 (1.9321)	Prec@1 53.906 (50.070)	Prec@5 82.031 (79.880)
Epoch: [61][7760/14090]	Time 0.728 (0.767)	Data 0.001 (0.002)	Loss 2.0800 (1.9321)	Prec@1 46.094 (50.069)	Prec@5 79.688 (79.881)
Epoch: [61][7770/14090]	Time 0.887 (0.767)	Data 0.001 (0.002)	Loss 1.7632 (1.9321)	Prec@1 50.781 (50.069)	Prec@5 85.156 (79.880)
Epoch: [61][7780/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 1.8170 (1.9321)	Prec@1 57.031 (50.071)	Prec@5 77.344 (79.881)
Epoch: [61][7790/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 1.7689 (1.9321)	Prec@1 57.812 (50.072)	Prec@5 82.031 (79.880)
Epoch: [61][7800/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 1.9422 (1.9320)	Prec@1 51.562 (50.075)	Prec@5 78.125 (79.880)
Epoch: [61][7810/14090]	Time 0.783 (0.767)	Data 0.001 (0.002)	Loss 2.1140 (1.9321)	Prec@1 43.750 (50.075)	Prec@5 76.562 (79.881)
Epoch: [61][7820/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 1.9066 (1.9320)	Prec@1 46.094 (50.076)	Prec@5 84.375 (79.882)
Epoch: [61][7830/14090]	Time 0.727 (0.767)	Data 0.001 (0.002)	Loss 1.6986 (1.9319)	Prec@1 54.688 (50.078)	Prec@5 86.719 (79.884)
Epoch: [61][7840/14090]	Time 0.878 (0.767)	Data 0.001 (0.002)	Loss 1.6688 (1.9319)	Prec@1 55.469 (50.078)	Prec@5 82.812 (79.883)
Epoch: [61][7850/14090]	Time 0.726 (0.767)	Data 0.001 (0.002)	Loss 1.7496 (1.9319)	Prec@1 54.688 (50.078)	Prec@5 82.812 (79.884)
Epoch: [61][7860/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 1.8788 (1.9318)	Prec@1 50.000 (50.078)	Prec@5 79.688 (79.885)
Epoch: [61][7870/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 1.7408 (1.9319)	Prec@1 58.594 (50.080)	Prec@5 82.812 (79.885)
Epoch: [61][7880/14090]	Time 0.723 (0.767)	Data 0.001 (0.002)	Loss 1.7849 (1.9319)	Prec@1 50.781 (50.081)	Prec@5 84.375 (79.884)
Epoch: [61][7890/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 1.9244 (1.9320)	Prec@1 51.562 (50.081)	Prec@5 80.469 (79.881)
Epoch: [61][7900/14090]	Time 0.761 (0.767)	Data 0.001 (0.002)	Loss 1.5943 (1.9319)	Prec@1 57.812 (50.082)	Prec@5 89.062 (79.882)
Epoch: [61][7910/14090]	Time 0.832 (0.767)	Data 0.001 (0.002)	Loss 1.8575 (1.9319)	Prec@1 50.781 (50.082)	Prec@5 79.688 (79.882)
Epoch: [61][7920/14090]	Time 0.727 (0.767)	Data 0.001 (0.002)	Loss 1.8541 (1.9320)	Prec@1 50.000 (50.080)	Prec@5 81.250 (79.881)
Epoch: [61][7930/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 1.8856 (1.9319)	Prec@1 50.781 (50.081)	Prec@5 82.812 (79.882)
Epoch: [61][7940/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 1.9325 (1.9319)	Prec@1 50.000 (50.083)	Prec@5 75.781 (79.881)
Epoch: [61][7950/14090]	Time 0.761 (0.767)	Data 0.001 (0.002)	Loss 2.1281 (1.9319)	Prec@1 43.750 (50.082)	Prec@5 80.469 (79.881)
Epoch: [61][7960/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 1.5801 (1.9318)	Prec@1 56.250 (50.084)	Prec@5 85.938 (79.883)
Epoch: [61][7970/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 1.9186 (1.9318)	Prec@1 53.125 (50.084)	Prec@5 79.688 (79.882)
Epoch: [61][7980/14090]	Time 0.863 (0.767)	Data 0.001 (0.002)	Loss 2.1280 (1.9318)	Prec@1 46.875 (50.084)	Prec@5 73.438 (79.882)
Epoch: [61][7990/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 2.0911 (1.9318)	Prec@1 47.656 (50.085)	Prec@5 81.250 (79.883)
Epoch: [61][8000/14090]	Time 0.776 (0.767)	Data 0.001 (0.002)	Loss 1.8328 (1.9318)	Prec@1 53.906 (50.085)	Prec@5 82.031 (79.882)
Epoch: [61][8010/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 1.9988 (1.9318)	Prec@1 46.875 (50.084)	Prec@5 80.469 (79.884)
Epoch: [61][8020/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 1.8134 (1.9318)	Prec@1 51.562 (50.086)	Prec@5 82.031 (79.884)
Epoch: [61][8030/14090]	Time 0.766 (0.767)	Data 0.001 (0.002)	Loss 2.2030 (1.9318)	Prec@1 44.531 (50.085)	Prec@5 75.000 (79.884)
Epoch: [61][8040/14090]	Time 0.780 (0.767)	Data 0.001 (0.002)	Loss 1.8804 (1.9318)	Prec@1 53.125 (50.087)	Prec@5 78.125 (79.884)
Epoch: [61][8050/14090]	Time 0.849 (0.767)	Data 0.001 (0.002)	Loss 1.8534 (1.9318)	Prec@1 52.344 (50.087)	Prec@5 81.250 (79.885)
Epoch: [61][8060/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 1.9830 (1.9319)	Prec@1 43.750 (50.085)	Prec@5 78.125 (79.884)
Epoch: [61][8070/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 2.0535 (1.9319)	Prec@1 41.406 (50.086)	Prec@5 77.344 (79.884)
Epoch: [61][8080/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 1.9824 (1.9320)	Prec@1 42.969 (50.083)	Prec@5 76.562 (79.881)
Epoch: [61][8090/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 1.8213 (1.9319)	Prec@1 51.562 (50.084)	Prec@5 83.594 (79.883)
Epoch: [61][8100/14090]	Time 0.757 (0.767)	Data 0.001 (0.002)	Loss 1.7812 (1.9319)	Prec@1 53.906 (50.085)	Prec@5 80.469 (79.883)
Epoch: [61][8110/14090]	Time 0.766 (0.767)	Data 0.002 (0.002)	Loss 2.1202 (1.9320)	Prec@1 48.438 (50.084)	Prec@5 75.000 (79.881)
Epoch: [61][8120/14090]	Time 0.848 (0.767)	Data 0.001 (0.002)	Loss 1.8607 (1.9319)	Prec@1 47.656 (50.084)	Prec@5 82.031 (79.882)
Epoch: [61][8130/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 1.9150 (1.9319)	Prec@1 48.438 (50.082)	Prec@5 82.031 (79.883)
Epoch: [61][8140/14090]	Time 0.727 (0.767)	Data 0.001 (0.002)	Loss 2.0940 (1.9318)	Prec@1 48.438 (50.085)	Prec@5 75.781 (79.885)
Epoch: [61][8150/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 2.0335 (1.9318)	Prec@1 49.219 (50.084)	Prec@5 76.562 (79.884)
Epoch: [61][8160/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 1.8562 (1.9318)	Prec@1 56.250 (50.086)	Prec@5 78.125 (79.884)
Epoch: [61][8170/14090]	Time 0.761 (0.767)	Data 0.001 (0.002)	Loss 1.5450 (1.9317)	Prec@1 61.719 (50.086)	Prec@5 89.062 (79.885)
Epoch: [61][8180/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 1.8025 (1.9317)	Prec@1 46.875 (50.087)	Prec@5 86.719 (79.887)
Epoch: [61][8190/14090]	Time 0.846 (0.767)	Data 0.001 (0.002)	Loss 1.9918 (1.9316)	Prec@1 50.781 (50.088)	Prec@5 75.781 (79.888)
Epoch: [61][8200/14090]	Time 0.727 (0.767)	Data 0.001 (0.002)	Loss 2.3066 (1.9317)	Prec@1 42.969 (50.088)	Prec@5 75.000 (79.886)
Epoch: [61][8210/14090]	Time 0.736 (0.767)	Data 0.003 (0.002)	Loss 1.7692 (1.9317)	Prec@1 53.125 (50.090)	Prec@5 82.812 (79.886)
Epoch: [61][8220/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 1.7592 (1.9316)	Prec@1 57.812 (50.090)	Prec@5 84.375 (79.886)
Epoch: [61][8230/14090]	Time 0.774 (0.767)	Data 0.001 (0.002)	Loss 1.9069 (1.9316)	Prec@1 53.125 (50.092)	Prec@5 81.250 (79.888)
Epoch: [61][8240/14090]	Time 0.757 (0.767)	Data 0.001 (0.002)	Loss 2.1627 (1.9315)	Prec@1 47.656 (50.094)	Prec@5 71.875 (79.886)
Epoch: [61][8250/14090]	Time 0.757 (0.767)	Data 0.001 (0.002)	Loss 1.9602 (1.9315)	Prec@1 49.219 (50.095)	Prec@5 80.469 (79.888)
Epoch: [61][8260/14090]	Time 0.867 (0.767)	Data 0.001 (0.002)	Loss 1.8784 (1.9316)	Prec@1 51.562 (50.092)	Prec@5 79.688 (79.888)
Epoch: [61][8270/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 1.9558 (1.9316)	Prec@1 46.875 (50.089)	Prec@5 80.469 (79.887)
Epoch: [61][8280/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 2.0106 (1.9317)	Prec@1 50.000 (50.090)	Prec@5 75.000 (79.885)
Epoch: [61][8290/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 1.5779 (1.9316)	Prec@1 60.938 (50.091)	Prec@5 85.938 (79.886)
Epoch: [61][8300/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 2.2029 (1.9316)	Prec@1 51.562 (50.092)	Prec@5 76.562 (79.886)
Epoch: [61][8310/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 1.8545 (1.9315)	Prec@1 53.125 (50.094)	Prec@5 80.469 (79.888)
Epoch: [61][8320/14090]	Time 0.727 (0.767)	Data 0.001 (0.002)	Loss 1.8164 (1.9316)	Prec@1 50.781 (50.093)	Prec@5 84.375 (79.889)
Epoch: [61][8330/14090]	Time 0.874 (0.767)	Data 0.001 (0.002)	Loss 2.2332 (1.9316)	Prec@1 41.406 (50.093)	Prec@5 71.875 (79.889)
Epoch: [61][8340/14090]	Time 0.728 (0.767)	Data 0.001 (0.002)	Loss 1.7501 (1.9315)	Prec@1 60.156 (50.095)	Prec@5 82.031 (79.891)
Epoch: [61][8350/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 1.6757 (1.9314)	Prec@1 55.469 (50.094)	Prec@5 83.594 (79.893)
Epoch: [61][8360/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 1.8456 (1.9314)	Prec@1 56.250 (50.095)	Prec@5 82.812 (79.894)
Epoch: [61][8370/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 2.1240 (1.9314)	Prec@1 46.094 (50.095)	Prec@5 76.562 (79.893)
Epoch: [61][8380/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 1.8781 (1.9313)	Prec@1 48.438 (50.096)	Prec@5 81.250 (79.895)
Epoch: [61][8390/14090]	Time 0.726 (0.767)	Data 0.001 (0.002)	Loss 1.9440 (1.9313)	Prec@1 50.000 (50.098)	Prec@5 77.344 (79.895)
Epoch: [61][8400/14090]	Time 0.877 (0.767)	Data 0.001 (0.002)	Loss 2.0477 (1.9312)	Prec@1 48.438 (50.099)	Prec@5 75.781 (79.896)
Epoch: [61][8410/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 2.0341 (1.9312)	Prec@1 46.094 (50.099)	Prec@5 77.344 (79.895)
Epoch: [61][8420/14090]	Time 0.761 (0.767)	Data 0.001 (0.002)	Loss 1.9206 (1.9312)	Prec@1 48.438 (50.100)	Prec@5 79.688 (79.894)
Epoch: [61][8430/14090]	Time 0.726 (0.767)	Data 0.001 (0.002)	Loss 1.7242 (1.9311)	Prec@1 53.906 (50.102)	Prec@5 81.250 (79.895)
Epoch: [61][8440/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 1.7593 (1.9311)	Prec@1 50.000 (50.102)	Prec@5 84.375 (79.895)
Epoch: [61][8450/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 1.9212 (1.9311)	Prec@1 48.438 (50.104)	Prec@5 78.125 (79.894)
Epoch: [61][8460/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 2.0853 (1.9310)	Prec@1 47.656 (50.105)	Prec@5 77.344 (79.896)
Epoch: [61][8470/14090]	Time 0.836 (0.767)	Data 0.001 (0.002)	Loss 1.8992 (1.9310)	Prec@1 53.906 (50.107)	Prec@5 76.562 (79.897)
Epoch: [61][8480/14090]	Time 0.762 (0.767)	Data 0.001 (0.002)	Loss 1.9257 (1.9309)	Prec@1 50.781 (50.107)	Prec@5 76.562 (79.899)
Epoch: [61][8490/14090]	Time 0.765 (0.767)	Data 0.001 (0.002)	Loss 1.9793 (1.9310)	Prec@1 50.000 (50.106)	Prec@5 79.688 (79.898)
Epoch: [61][8500/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 1.8961 (1.9310)	Prec@1 49.219 (50.107)	Prec@5 78.906 (79.898)
Epoch: [61][8510/14090]	Time 0.768 (0.767)	Data 0.001 (0.002)	Loss 2.1510 (1.9310)	Prec@1 46.875 (50.105)	Prec@5 76.562 (79.899)
Epoch: [61][8520/14090]	Time 0.760 (0.767)	Data 0.001 (0.002)	Loss 1.9054 (1.9310)	Prec@1 52.344 (50.105)	Prec@5 79.688 (79.900)
Epoch: [61][8530/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 2.0388 (1.9310)	Prec@1 52.344 (50.102)	Prec@5 78.125 (79.900)
Epoch: [61][8540/14090]	Time 0.864 (0.767)	Data 0.001 (0.002)	Loss 2.3700 (1.9311)	Prec@1 42.188 (50.102)	Prec@5 71.094 (79.898)
Epoch: [61][8550/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 1.9204 (1.9311)	Prec@1 52.344 (50.102)	Prec@5 77.344 (79.897)
Epoch: [61][8560/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 1.9275 (1.9311)	Prec@1 45.312 (50.101)	Prec@5 81.250 (79.898)
Epoch: [61][8570/14090]	Time 0.728 (0.767)	Data 0.001 (0.002)	Loss 1.8426 (1.9311)	Prec@1 47.656 (50.101)	Prec@5 82.812 (79.898)
Epoch: [61][8580/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 1.9133 (1.9311)	Prec@1 56.250 (50.101)	Prec@5 79.688 (79.899)
Epoch: [61][8590/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 2.2228 (1.9311)	Prec@1 47.656 (50.100)	Prec@5 73.438 (79.898)
Epoch: [61][8600/14090]	Time 0.727 (0.767)	Data 0.001 (0.002)	Loss 2.0916 (1.9312)	Prec@1 48.438 (50.099)	Prec@5 77.344 (79.896)
Epoch: [61][8610/14090]	Time 0.867 (0.767)	Data 0.001 (0.002)	Loss 2.0660 (1.9312)	Prec@1 50.000 (50.099)	Prec@5 77.344 (79.895)
Epoch: [61][8620/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 1.9574 (1.9312)	Prec@1 51.562 (50.098)	Prec@5 78.906 (79.894)
Epoch: [61][8630/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 2.0978 (1.9312)	Prec@1 48.438 (50.099)	Prec@5 79.688 (79.893)
Epoch: [61][8640/14090]	Time 0.760 (0.767)	Data 0.001 (0.002)	Loss 1.8596 (1.9312)	Prec@1 52.344 (50.099)	Prec@5 82.812 (79.894)
Epoch: [61][8650/14090]	Time 0.731 (0.767)	Data 0.001 (0.002)	Loss 1.9359 (1.9310)	Prec@1 46.094 (50.101)	Prec@5 81.250 (79.899)
Epoch: [61][8660/14090]	Time 0.776 (0.767)	Data 0.001 (0.002)	Loss 2.1418 (1.9310)	Prec@1 46.094 (50.100)	Prec@5 75.000 (79.899)
Epoch: [61][8670/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 1.9510 (1.9310)	Prec@1 50.781 (50.101)	Prec@5 73.438 (79.898)
Epoch: [61][8680/14090]	Time 0.829 (0.767)	Data 0.001 (0.002)	Loss 1.9427 (1.9312)	Prec@1 48.438 (50.097)	Prec@5 77.344 (79.895)
Epoch: [61][8690/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 2.2758 (1.9311)	Prec@1 50.000 (50.098)	Prec@5 74.219 (79.897)
Epoch: [61][8700/14090]	Time 0.726 (0.767)	Data 0.001 (0.002)	Loss 1.8116 (1.9311)	Prec@1 44.531 (50.096)	Prec@5 82.812 (79.899)
Epoch: [61][8710/14090]	Time 0.757 (0.767)	Data 0.001 (0.002)	Loss 1.6043 (1.9311)	Prec@1 60.156 (50.097)	Prec@5 85.938 (79.898)
Epoch: [61][8720/14090]	Time 0.727 (0.767)	Data 0.001 (0.002)	Loss 2.0827 (1.9313)	Prec@1 50.000 (50.095)	Prec@5 80.469 (79.896)
Epoch: [61][8730/14090]	Time 0.761 (0.767)	Data 0.001 (0.002)	Loss 2.0477 (1.9314)	Prec@1 45.312 (50.090)	Prec@5 76.562 (79.893)
Epoch: [61][8740/14090]	Time 0.783 (0.767)	Data 0.001 (0.002)	Loss 1.9706 (1.9314)	Prec@1 49.219 (50.090)	Prec@5 78.906 (79.894)
Epoch: [61][8750/14090]	Time 0.934 (0.767)	Data 0.001 (0.002)	Loss 1.9372 (1.9313)	Prec@1 50.000 (50.090)	Prec@5 79.688 (79.896)
Epoch: [61][8760/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 1.9616 (1.9313)	Prec@1 52.344 (50.091)	Prec@5 81.250 (79.897)
Epoch: [61][8770/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 1.8062 (1.9313)	Prec@1 53.125 (50.090)	Prec@5 82.031 (79.895)
Epoch: [61][8780/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 1.6869 (1.9313)	Prec@1 50.000 (50.089)	Prec@5 85.938 (79.896)
Epoch: [61][8790/14090]	Time 0.768 (0.767)	Data 0.001 (0.002)	Loss 1.7419 (1.9313)	Prec@1 57.812 (50.089)	Prec@5 81.250 (79.895)
Epoch: [61][8800/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 1.9331 (1.9313)	Prec@1 46.094 (50.091)	Prec@5 82.812 (79.896)
Epoch: [61][8810/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 2.0309 (1.9313)	Prec@1 47.656 (50.090)	Prec@5 78.906 (79.894)
Epoch: [61][8820/14090]	Time 0.860 (0.767)	Data 0.003 (0.002)	Loss 1.7916 (1.9313)	Prec@1 50.781 (50.090)	Prec@5 83.594 (79.895)
Epoch: [61][8830/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 1.8797 (1.9312)	Prec@1 46.875 (50.093)	Prec@5 82.031 (79.896)
Epoch: [61][8840/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 2.0242 (1.9312)	Prec@1 47.656 (50.093)	Prec@5 81.250 (79.896)
Epoch: [61][8850/14090]	Time 0.765 (0.767)	Data 0.001 (0.002)	Loss 1.7769 (1.9312)	Prec@1 49.219 (50.093)	Prec@5 81.250 (79.896)
Epoch: [61][8860/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 1.7563 (1.9312)	Prec@1 48.438 (50.092)	Prec@5 82.812 (79.897)
Epoch: [61][8870/14090]	Time 0.726 (0.767)	Data 0.001 (0.002)	Loss 2.1195 (1.9311)	Prec@1 47.656 (50.094)	Prec@5 75.000 (79.897)
Epoch: [61][8880/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 2.1256 (1.9311)	Prec@1 50.000 (50.096)	Prec@5 79.688 (79.897)
Epoch: [61][8890/14090]	Time 0.902 (0.767)	Data 0.001 (0.002)	Loss 1.7784 (1.9311)	Prec@1 50.781 (50.097)	Prec@5 86.719 (79.898)
Epoch: [61][8900/14090]	Time 0.721 (0.767)	Data 0.001 (0.002)	Loss 2.0862 (1.9311)	Prec@1 50.000 (50.097)	Prec@5 78.906 (79.898)
Epoch: [61][8910/14090]	Time 0.731 (0.767)	Data 0.001 (0.002)	Loss 1.7816 (1.9311)	Prec@1 52.344 (50.098)	Prec@5 83.594 (79.898)
Epoch: [61][8920/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 2.1582 (1.9312)	Prec@1 44.531 (50.094)	Prec@5 75.781 (79.897)
Epoch: [61][8930/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 2.2027 (1.9312)	Prec@1 43.750 (50.092)	Prec@5 76.562 (79.896)
Epoch: [61][8940/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 2.0574 (1.9312)	Prec@1 46.094 (50.092)	Prec@5 75.781 (79.895)
Epoch: [61][8950/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 2.2318 (1.9312)	Prec@1 45.312 (50.091)	Prec@5 77.344 (79.895)
Epoch: [61][8960/14090]	Time 0.842 (0.767)	Data 0.001 (0.002)	Loss 1.8031 (1.9312)	Prec@1 52.344 (50.091)	Prec@5 82.812 (79.896)
Epoch: [61][8970/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 1.8420 (1.9313)	Prec@1 49.219 (50.090)	Prec@5 78.906 (79.895)
Epoch: [61][8980/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 2.0537 (1.9312)	Prec@1 43.750 (50.089)	Prec@5 78.125 (79.896)
Epoch: [61][8990/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 2.2799 (1.9312)	Prec@1 49.219 (50.089)	Prec@5 77.344 (79.897)
Epoch: [61][9000/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.0621 (1.9312)	Prec@1 47.656 (50.089)	Prec@5 78.906 (79.899)
Epoch: [61][9010/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 1.8933 (1.9311)	Prec@1 50.781 (50.090)	Prec@5 80.469 (79.901)
Epoch: [61][9020/14090]	Time 0.761 (0.767)	Data 0.001 (0.002)	Loss 1.9183 (1.9311)	Prec@1 49.219 (50.089)	Prec@5 82.812 (79.900)
Epoch: [61][9030/14090]	Time 0.855 (0.767)	Data 0.001 (0.002)	Loss 2.0403 (1.9311)	Prec@1 50.000 (50.090)	Prec@5 75.781 (79.899)
Epoch: [61][9040/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 1.7442 (1.9311)	Prec@1 53.125 (50.090)	Prec@5 83.594 (79.900)
Epoch: [61][9050/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 1.7409 (1.9311)	Prec@1 53.125 (50.088)	Prec@5 82.812 (79.901)
Epoch: [61][9060/14090]	Time 0.764 (0.767)	Data 0.001 (0.002)	Loss 2.0478 (1.9312)	Prec@1 51.562 (50.087)	Prec@5 77.344 (79.899)
Epoch: [61][9070/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 1.9130 (1.9312)	Prec@1 49.219 (50.086)	Prec@5 76.562 (79.898)
Epoch: [61][9080/14090]	Time 0.725 (0.767)	Data 0.001 (0.002)	Loss 2.0750 (1.9312)	Prec@1 50.781 (50.085)	Prec@5 77.344 (79.898)
Epoch: [61][9090/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 2.3305 (1.9312)	Prec@1 44.531 (50.085)	Prec@5 74.219 (79.899)
Epoch: [61][9100/14090]	Time 0.878 (0.767)	Data 0.001 (0.002)	Loss 1.9916 (1.9312)	Prec@1 48.438 (50.086)	Prec@5 78.125 (79.899)
Epoch: [61][9110/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 2.2236 (1.9312)	Prec@1 48.438 (50.087)	Prec@5 75.000 (79.898)
Epoch: [61][9120/14090]	Time 0.757 (0.767)	Data 0.001 (0.002)	Loss 1.8032 (1.9312)	Prec@1 53.125 (50.087)	Prec@5 81.250 (79.897)
Epoch: [61][9130/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 1.9511 (1.9312)	Prec@1 50.000 (50.088)	Prec@5 85.938 (79.897)
Epoch: [61][9140/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 1.9860 (1.9312)	Prec@1 46.094 (50.087)	Prec@5 77.344 (79.897)
Epoch: [61][9150/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 2.0274 (1.9313)	Prec@1 48.438 (50.085)	Prec@5 79.688 (79.896)
Epoch: [61][9160/14090]	Time 0.780 (0.767)	Data 0.001 (0.002)	Loss 1.6849 (1.9313)	Prec@1 58.594 (50.084)	Prec@5 83.594 (79.895)
Epoch: [61][9170/14090]	Time 0.884 (0.767)	Data 0.001 (0.002)	Loss 1.8541 (1.9313)	Prec@1 55.469 (50.085)	Prec@5 82.031 (79.895)
Epoch: [61][9180/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 2.0011 (1.9313)	Prec@1 42.969 (50.083)	Prec@5 81.250 (79.894)
Epoch: [61][9190/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 2.1296 (1.9312)	Prec@1 46.094 (50.086)	Prec@5 71.094 (79.895)
Epoch: [61][9200/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 1.8651 (1.9312)	Prec@1 46.875 (50.087)	Prec@5 81.250 (79.895)
Epoch: [61][9210/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 1.8756 (1.9312)	Prec@1 50.000 (50.088)	Prec@5 81.250 (79.895)
Epoch: [61][9220/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 1.9135 (1.9312)	Prec@1 47.656 (50.087)	Prec@5 81.250 (79.896)
Epoch: [61][9230/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 1.9982 (1.9313)	Prec@1 42.188 (50.083)	Prec@5 77.344 (79.894)
Epoch: [61][9240/14090]	Time 0.881 (0.767)	Data 0.001 (0.002)	Loss 2.1267 (1.9312)	Prec@1 45.312 (50.085)	Prec@5 75.781 (79.895)
Epoch: [61][9250/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 1.9679 (1.9313)	Prec@1 49.219 (50.084)	Prec@5 78.906 (79.894)
Epoch: [61][9260/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 2.0343 (1.9313)	Prec@1 47.656 (50.085)	Prec@5 81.250 (79.896)
Epoch: [61][9270/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 1.7308 (1.9312)	Prec@1 53.906 (50.086)	Prec@5 83.594 (79.897)
Epoch: [61][9280/14090]	Time 0.762 (0.767)	Data 0.001 (0.002)	Loss 1.8758 (1.9313)	Prec@1 47.656 (50.084)	Prec@5 80.469 (79.896)
Epoch: [61][9290/14090]	Time 0.760 (0.767)	Data 0.001 (0.002)	Loss 2.0523 (1.9313)	Prec@1 50.781 (50.085)	Prec@5 78.125 (79.896)
Epoch: [61][9300/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 1.8580 (1.9314)	Prec@1 52.344 (50.082)	Prec@5 82.031 (79.894)
Epoch: [61][9310/14090]	Time 0.967 (0.767)	Data 0.001 (0.002)	Loss 2.0005 (1.9314)	Prec@1 46.875 (50.079)	Prec@5 79.688 (79.893)
Epoch: [61][9320/14090]	Time 0.728 (0.767)	Data 0.001 (0.002)	Loss 2.0953 (1.9315)	Prec@1 48.438 (50.079)	Prec@5 82.812 (79.894)
Epoch: [61][9330/14090]	Time 0.728 (0.767)	Data 0.001 (0.002)	Loss 2.0287 (1.9315)	Prec@1 53.125 (50.077)	Prec@5 75.000 (79.892)
Epoch: [61][9340/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 1.9288 (1.9316)	Prec@1 48.438 (50.075)	Prec@5 78.125 (79.889)
Epoch: [61][9350/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 1.7454 (1.9316)	Prec@1 54.688 (50.073)	Prec@5 82.812 (79.889)
Epoch: [61][9360/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 1.7634 (1.9317)	Prec@1 51.562 (50.071)	Prec@5 81.250 (79.889)
Epoch: [61][9370/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 1.9084 (1.9315)	Prec@1 56.250 (50.075)	Prec@5 82.031 (79.890)
Epoch: [61][9380/14090]	Time 0.909 (0.767)	Data 0.001 (0.002)	Loss 1.8525 (1.9315)	Prec@1 50.000 (50.074)	Prec@5 84.375 (79.890)
Epoch: [61][9390/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 1.8078 (1.9315)	Prec@1 51.562 (50.074)	Prec@5 84.375 (79.891)
Epoch: [61][9400/14090]	Time 0.760 (0.767)	Data 0.001 (0.002)	Loss 1.8924 (1.9315)	Prec@1 51.562 (50.071)	Prec@5 81.250 (79.890)
Epoch: [61][9410/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 1.9764 (1.9316)	Prec@1 47.656 (50.070)	Prec@5 80.469 (79.888)
Epoch: [61][9420/14090]	Time 0.760 (0.767)	Data 0.001 (0.002)	Loss 1.6959 (1.9315)	Prec@1 59.375 (50.072)	Prec@5 82.812 (79.890)
Epoch: [61][9430/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 1.9429 (1.9314)	Prec@1 50.781 (50.073)	Prec@5 80.469 (79.890)
Epoch: [61][9440/14090]	Time 0.760 (0.767)	Data 0.001 (0.002)	Loss 1.9439 (1.9313)	Prec@1 50.781 (50.074)	Prec@5 78.125 (79.890)
Epoch: [61][9450/14090]	Time 0.882 (0.767)	Data 0.001 (0.002)	Loss 1.5971 (1.9314)	Prec@1 64.062 (50.077)	Prec@5 84.375 (79.889)
Epoch: [61][9460/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 1.7181 (1.9313)	Prec@1 59.375 (50.078)	Prec@5 81.250 (79.890)
Epoch: [61][9470/14090]	Time 0.747 (0.767)	Data 0.003 (0.001)	Loss 1.7476 (1.9313)	Prec@1 53.125 (50.078)	Prec@5 84.375 (79.891)
Epoch: [61][9480/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 2.0741 (1.9313)	Prec@1 46.094 (50.080)	Prec@5 80.469 (79.891)
Epoch: [61][9490/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 1.6091 (1.9313)	Prec@1 57.031 (50.080)	Prec@5 82.031 (79.891)
Epoch: [61][9500/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 1.8346 (1.9313)	Prec@1 46.875 (50.079)	Prec@5 82.031 (79.891)
Epoch: [61][9510/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 1.7398 (1.9314)	Prec@1 53.906 (50.078)	Prec@5 81.250 (79.890)
Epoch: [61][9520/14090]	Time 0.846 (0.767)	Data 0.001 (0.001)	Loss 2.0459 (1.9313)	Prec@1 45.312 (50.080)	Prec@5 81.250 (79.891)
Epoch: [61][9530/14090]	Time 0.782 (0.767)	Data 0.001 (0.001)	Loss 1.7607 (1.9313)	Prec@1 53.125 (50.080)	Prec@5 82.812 (79.890)
Epoch: [61][9540/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 1.8580 (1.9313)	Prec@1 51.562 (50.080)	Prec@5 78.906 (79.889)
Epoch: [61][9550/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 1.8194 (1.9313)	Prec@1 50.781 (50.080)	Prec@5 79.688 (79.889)
Epoch: [61][9560/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 1.7046 (1.9312)	Prec@1 61.719 (50.082)	Prec@5 85.938 (79.891)
Epoch: [61][9570/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 2.2699 (1.9313)	Prec@1 47.656 (50.081)	Prec@5 76.562 (79.891)
Epoch: [61][9580/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 1.7589 (1.9312)	Prec@1 52.344 (50.083)	Prec@5 82.031 (79.890)
Epoch: [61][9590/14090]	Time 0.847 (0.767)	Data 0.001 (0.001)	Loss 1.9934 (1.9313)	Prec@1 45.312 (50.082)	Prec@5 80.469 (79.890)
Epoch: [61][9600/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 1.6024 (1.9312)	Prec@1 54.688 (50.083)	Prec@5 85.938 (79.890)
Epoch: [61][9610/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 1.8030 (1.9312)	Prec@1 53.125 (50.083)	Prec@5 81.250 (79.890)
Epoch: [61][9620/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.0298 (1.9312)	Prec@1 51.562 (50.082)	Prec@5 77.344 (79.891)
Epoch: [61][9630/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 1.8440 (1.9312)	Prec@1 48.438 (50.083)	Prec@5 79.688 (79.890)
Epoch: [61][9640/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 2.2515 (1.9312)	Prec@1 42.188 (50.079)	Prec@5 77.344 (79.889)
Epoch: [61][9650/14090]	Time 0.785 (0.767)	Data 0.001 (0.001)	Loss 1.9485 (1.9313)	Prec@1 50.000 (50.079)	Prec@5 78.906 (79.888)
Epoch: [61][9660/14090]	Time 0.880 (0.767)	Data 0.001 (0.001)	Loss 1.6661 (1.9313)	Prec@1 54.688 (50.080)	Prec@5 82.812 (79.889)
Epoch: [61][9670/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 1.7288 (1.9313)	Prec@1 54.688 (50.080)	Prec@5 85.156 (79.890)
Epoch: [61][9680/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 1.8633 (1.9313)	Prec@1 50.781 (50.079)	Prec@5 78.906 (79.889)
Epoch: [61][9690/14090]	Time 0.781 (0.767)	Data 0.001 (0.001)	Loss 1.9255 (1.9313)	Prec@1 55.469 (50.078)	Prec@5 82.812 (79.891)
Epoch: [61][9700/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 2.0562 (1.9312)	Prec@1 42.969 (50.077)	Prec@5 78.125 (79.891)
Epoch: [61][9710/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 2.1144 (1.9313)	Prec@1 47.656 (50.074)	Prec@5 76.562 (79.890)
Epoch: [61][9720/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 1.8559 (1.9313)	Prec@1 53.906 (50.074)	Prec@5 79.688 (79.891)
Epoch: [61][9730/14090]	Time 0.873 (0.767)	Data 0.001 (0.001)	Loss 1.8354 (1.9313)	Prec@1 51.562 (50.077)	Prec@5 82.812 (79.892)
Epoch: [61][9740/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 1.8423 (1.9313)	Prec@1 50.781 (50.079)	Prec@5 80.469 (79.890)
Epoch: [61][9750/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 1.9772 (1.9312)	Prec@1 45.312 (50.080)	Prec@5 74.219 (79.891)
Epoch: [61][9760/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 1.7834 (1.9312)	Prec@1 55.469 (50.080)	Prec@5 84.375 (79.891)
Epoch: [61][9770/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 1.7356 (1.9311)	Prec@1 57.031 (50.083)	Prec@5 85.156 (79.891)
Epoch: [61][9780/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 1.9483 (1.9311)	Prec@1 48.438 (50.082)	Prec@5 78.906 (79.891)
Epoch: [61][9790/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 1.7617 (1.9311)	Prec@1 53.125 (50.080)	Prec@5 84.375 (79.891)
Epoch: [61][9800/14090]	Time 0.828 (0.767)	Data 0.001 (0.001)	Loss 1.6624 (1.9311)	Prec@1 59.375 (50.084)	Prec@5 83.594 (79.892)
Epoch: [61][9810/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 1.8418 (1.9310)	Prec@1 53.906 (50.084)	Prec@5 79.688 (79.893)
Epoch: [61][9820/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 2.0870 (1.9310)	Prec@1 47.656 (50.086)	Prec@5 75.781 (79.892)
Epoch: [61][9830/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 2.0123 (1.9311)	Prec@1 44.531 (50.085)	Prec@5 78.125 (79.890)
Epoch: [61][9840/14090]	Time 0.724 (0.767)	Data 0.001 (0.001)	Loss 2.0024 (1.9310)	Prec@1 52.344 (50.087)	Prec@5 80.469 (79.891)
Epoch: [61][9850/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 1.9817 (1.9310)	Prec@1 55.469 (50.088)	Prec@5 77.344 (79.891)
Epoch: [61][9860/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 1.8338 (1.9310)	Prec@1 50.781 (50.089)	Prec@5 80.469 (79.891)
Epoch: [61][9870/14090]	Time 0.867 (0.767)	Data 0.001 (0.001)	Loss 2.0187 (1.9310)	Prec@1 46.094 (50.087)	Prec@5 79.688 (79.891)
Epoch: [61][9880/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 2.1638 (1.9310)	Prec@1 43.750 (50.084)	Prec@5 75.781 (79.891)
Epoch: [61][9890/14090]	Time 0.726 (0.767)	Data 0.002 (0.001)	Loss 2.2710 (1.9312)	Prec@1 43.750 (50.083)	Prec@5 71.875 (79.888)
Epoch: [61][9900/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 2.2282 (1.9312)	Prec@1 49.219 (50.083)	Prec@5 76.562 (79.888)
Epoch: [61][9910/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 1.9053 (1.9312)	Prec@1 51.562 (50.083)	Prec@5 83.594 (79.888)
Epoch: [61][9920/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 2.1597 (1.9311)	Prec@1 45.312 (50.084)	Prec@5 76.562 (79.890)
Epoch: [61][9930/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 2.0331 (1.9311)	Prec@1 50.781 (50.085)	Prec@5 75.781 (79.890)
Epoch: [61][9940/14090]	Time 0.843 (0.767)	Data 0.001 (0.001)	Loss 2.0630 (1.9311)	Prec@1 46.094 (50.086)	Prec@5 75.781 (79.891)
Epoch: [61][9950/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 2.0050 (1.9311)	Prec@1 45.312 (50.087)	Prec@5 85.156 (79.892)
Epoch: [61][9960/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 1.9762 (1.9311)	Prec@1 50.781 (50.086)	Prec@5 77.344 (79.891)
Epoch: [61][9970/14090]	Time 0.772 (0.767)	Data 0.001 (0.001)	Loss 1.8783 (1.9311)	Prec@1 52.344 (50.086)	Prec@5 82.812 (79.892)
Epoch: [61][9980/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 1.7985 (1.9311)	Prec@1 49.219 (50.086)	Prec@5 81.250 (79.893)
Epoch: [61][9990/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 2.0570 (1.9311)	Prec@1 44.531 (50.086)	Prec@5 77.344 (79.892)
Epoch: [61][10000/14090]	Time 0.783 (0.767)	Data 0.001 (0.001)	Loss 1.8401 (1.9310)	Prec@1 49.219 (50.086)	Prec@5 82.812 (79.893)
Epoch: [61][10010/14090]	Time 0.900 (0.767)	Data 0.001 (0.001)	Loss 1.6669 (1.9310)	Prec@1 53.906 (50.088)	Prec@5 85.156 (79.894)
Epoch: [61][10020/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 2.1315 (1.9310)	Prec@1 45.312 (50.086)	Prec@5 81.250 (79.894)
Epoch: [61][10030/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 1.7948 (1.9310)	Prec@1 53.906 (50.086)	Prec@5 84.375 (79.895)
Epoch: [61][10040/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.3268 (1.9310)	Prec@1 48.438 (50.088)	Prec@5 72.656 (79.896)
Epoch: [61][10050/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 1.9526 (1.9310)	Prec@1 46.875 (50.087)	Prec@5 77.344 (79.894)
Epoch: [61][10060/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 1.8893 (1.9310)	Prec@1 53.125 (50.086)	Prec@5 82.812 (79.894)
Epoch: [61][10070/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 1.9978 (1.9312)	Prec@1 47.656 (50.082)	Prec@5 74.219 (79.891)
Epoch: [61][10080/14090]	Time 0.848 (0.767)	Data 0.001 (0.001)	Loss 1.9922 (1.9311)	Prec@1 49.219 (50.082)	Prec@5 81.250 (79.892)
Epoch: [61][10090/14090]	Time 0.767 (0.767)	Data 0.001 (0.001)	Loss 1.8887 (1.9312)	Prec@1 52.344 (50.082)	Prec@5 79.688 (79.891)
Epoch: [61][10100/14090]	Time 0.723 (0.767)	Data 0.001 (0.001)	Loss 1.7076 (1.9312)	Prec@1 50.781 (50.082)	Prec@5 80.469 (79.890)
Epoch: [61][10110/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.0920 (1.9312)	Prec@1 44.531 (50.081)	Prec@5 74.219 (79.890)
Epoch: [61][10120/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 1.7674 (1.9312)	Prec@1 53.125 (50.081)	Prec@5 84.375 (79.890)
Epoch: [61][10130/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 1.6768 (1.9312)	Prec@1 54.688 (50.079)	Prec@5 84.375 (79.889)
Epoch: [61][10140/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 1.9268 (1.9312)	Prec@1 52.344 (50.078)	Prec@5 76.562 (79.890)
Epoch: [61][10150/14090]	Time 0.861 (0.767)	Data 0.001 (0.001)	Loss 1.7921 (1.9312)	Prec@1 46.875 (50.077)	Prec@5 83.594 (79.889)
Epoch: [61][10160/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 2.0802 (1.9313)	Prec@1 46.875 (50.077)	Prec@5 77.344 (79.889)
Epoch: [61][10170/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 1.7969 (1.9312)	Prec@1 52.344 (50.076)	Prec@5 84.375 (79.890)
Epoch: [61][10180/14090]	Time 0.782 (0.767)	Data 0.001 (0.001)	Loss 1.9494 (1.9312)	Prec@1 48.438 (50.078)	Prec@5 82.031 (79.891)
Epoch: [61][10190/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 1.8024 (1.9312)	Prec@1 50.000 (50.078)	Prec@5 84.375 (79.891)
Epoch: [61][10200/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 1.9499 (1.9312)	Prec@1 46.875 (50.076)	Prec@5 80.469 (79.892)
Epoch: [61][10210/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 1.7608 (1.9312)	Prec@1 53.125 (50.076)	Prec@5 80.469 (79.892)
Epoch: [61][10220/14090]	Time 0.860 (0.767)	Data 0.001 (0.001)	Loss 1.7024 (1.9311)	Prec@1 58.594 (50.075)	Prec@5 85.156 (79.893)
Epoch: [61][10230/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 1.9120 (1.9311)	Prec@1 48.438 (50.078)	Prec@5 81.250 (79.894)
Epoch: [61][10240/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 1.8493 (1.9311)	Prec@1 50.000 (50.080)	Prec@5 80.469 (79.895)
Epoch: [61][10250/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 2.1030 (1.9311)	Prec@1 50.781 (50.079)	Prec@5 76.562 (79.895)
Epoch: [61][10260/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 2.0916 (1.9310)	Prec@1 45.312 (50.080)	Prec@5 78.125 (79.896)
Epoch: [61][10270/14090]	Time 0.771 (0.767)	Data 0.001 (0.001)	Loss 2.0467 (1.9311)	Prec@1 50.000 (50.078)	Prec@5 75.781 (79.895)
Epoch: [61][10280/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 1.7082 (1.9311)	Prec@1 56.250 (50.079)	Prec@5 84.375 (79.896)
Epoch: [61][10290/14090]	Time 0.892 (0.767)	Data 0.001 (0.001)	Loss 1.9667 (1.9311)	Prec@1 50.000 (50.078)	Prec@5 80.469 (79.895)
Epoch: [61][10300/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 2.3304 (1.9312)	Prec@1 47.656 (50.077)	Prec@5 73.438 (79.893)
Epoch: [61][10310/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 1.8679 (1.9311)	Prec@1 50.000 (50.078)	Prec@5 82.812 (79.896)
Epoch: [61][10320/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 1.9585 (1.9310)	Prec@1 50.781 (50.079)	Prec@5 75.781 (79.897)
Epoch: [61][10330/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 2.1018 (1.9311)	Prec@1 43.750 (50.079)	Prec@5 80.469 (79.897)
Epoch: [61][10340/14090]	Time 0.767 (0.767)	Data 0.001 (0.001)	Loss 1.8564 (1.9311)	Prec@1 50.781 (50.077)	Prec@5 78.906 (79.895)
Epoch: [61][10350/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 1.9215 (1.9311)	Prec@1 51.562 (50.079)	Prec@5 81.250 (79.896)
Epoch: [61][10360/14090]	Time 0.870 (0.767)	Data 0.001 (0.001)	Loss 1.9244 (1.9311)	Prec@1 50.000 (50.079)	Prec@5 82.812 (79.895)
Epoch: [61][10370/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 1.9607 (1.9311)	Prec@1 44.531 (50.079)	Prec@5 83.594 (79.896)
Epoch: [61][10380/14090]	Time 0.725 (0.767)	Data 0.001 (0.001)	Loss 2.0314 (1.9310)	Prec@1 43.750 (50.079)	Prec@5 81.250 (79.898)
Epoch: [61][10390/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 1.8315 (1.9311)	Prec@1 52.344 (50.077)	Prec@5 85.938 (79.899)
Epoch: [61][10400/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 2.0563 (1.9310)	Prec@1 48.438 (50.078)	Prec@5 74.219 (79.899)
Epoch: [61][10410/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 1.7551 (1.9311)	Prec@1 51.562 (50.075)	Prec@5 85.938 (79.898)
Epoch: [61][10420/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 2.0077 (1.9311)	Prec@1 46.094 (50.075)	Prec@5 80.469 (79.898)
Epoch: [61][10430/14090]	Time 0.858 (0.767)	Data 0.001 (0.001)	Loss 2.2707 (1.9311)	Prec@1 48.438 (50.077)	Prec@5 71.094 (79.899)
Epoch: [61][10440/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 1.8933 (1.9311)	Prec@1 48.438 (50.075)	Prec@5 81.250 (79.899)
Epoch: [61][10450/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 1.7844 (1.9310)	Prec@1 53.125 (50.077)	Prec@5 81.250 (79.900)
Epoch: [61][10460/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.0098 (1.9310)	Prec@1 47.656 (50.077)	Prec@5 78.125 (79.900)
Epoch: [61][10470/14090]	Time 0.769 (0.767)	Data 0.001 (0.001)	Loss 1.9625 (1.9310)	Prec@1 47.656 (50.076)	Prec@5 81.250 (79.900)
Epoch: [61][10480/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 1.6885 (1.9310)	Prec@1 53.125 (50.076)	Prec@5 85.156 (79.902)
Epoch: [61][10490/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 1.8022 (1.9310)	Prec@1 55.469 (50.076)	Prec@5 79.688 (79.902)
Epoch: [61][10500/14090]	Time 0.848 (0.767)	Data 0.001 (0.001)	Loss 1.8660 (1.9310)	Prec@1 47.656 (50.077)	Prec@5 81.250 (79.902)
Epoch: [61][10510/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 1.8527 (1.9309)	Prec@1 51.562 (50.077)	Prec@5 80.469 (79.903)
Epoch: [61][10520/14090]	Time 0.719 (0.767)	Data 0.001 (0.001)	Loss 1.9310 (1.9309)	Prec@1 48.438 (50.075)	Prec@5 78.125 (79.902)
Epoch: [61][10530/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 1.8250 (1.9308)	Prec@1 50.781 (50.077)	Prec@5 80.469 (79.904)
Epoch: [61][10540/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 1.7464 (1.9309)	Prec@1 57.812 (50.076)	Prec@5 81.250 (79.902)
Epoch: [61][10550/14090]	Time 0.727 (0.767)	Data 0.001 (0.001)	Loss 2.0608 (1.9308)	Prec@1 42.188 (50.078)	Prec@5 77.344 (79.902)
Epoch: [61][10560/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 1.8161 (1.9308)	Prec@1 46.875 (50.080)	Prec@5 82.812 (79.903)
Epoch: [61][10570/14090]	Time 0.878 (0.767)	Data 0.001 (0.001)	Loss 2.0347 (1.9307)	Prec@1 50.781 (50.080)	Prec@5 78.125 (79.903)
Epoch: [61][10580/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 2.2191 (1.9307)	Prec@1 42.188 (50.081)	Prec@5 73.438 (79.902)
Epoch: [61][10590/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 1.7837 (1.9307)	Prec@1 55.469 (50.083)	Prec@5 81.250 (79.904)
Epoch: [61][10600/14090]	Time 0.775 (0.767)	Data 0.001 (0.001)	Loss 2.0263 (1.9307)	Prec@1 47.656 (50.082)	Prec@5 82.812 (79.903)
Epoch: [61][10610/14090]	Time 0.725 (0.767)	Data 0.001 (0.001)	Loss 1.9603 (1.9307)	Prec@1 46.875 (50.081)	Prec@5 78.906 (79.903)
Epoch: [61][10620/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 1.9158 (1.9307)	Prec@1 53.125 (50.080)	Prec@5 77.344 (79.902)
Epoch: [61][10630/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 1.8501 (1.9308)	Prec@1 51.562 (50.078)	Prec@5 83.594 (79.902)
Epoch: [61][10640/14090]	Time 0.932 (0.767)	Data 0.001 (0.001)	Loss 1.9804 (1.9308)	Prec@1 46.094 (50.077)	Prec@5 76.562 (79.902)
Epoch: [61][10650/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 1.9693 (1.9308)	Prec@1 48.438 (50.077)	Prec@5 75.781 (79.899)
Epoch: [61][10660/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 1.7336 (1.9308)	Prec@1 53.906 (50.080)	Prec@5 85.938 (79.900)
Epoch: [61][10670/14090]	Time 0.766 (0.767)	Data 0.001 (0.001)	Loss 1.7960 (1.9307)	Prec@1 53.906 (50.081)	Prec@5 82.031 (79.901)
Epoch: [61][10680/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 2.0527 (1.9307)	Prec@1 49.219 (50.082)	Prec@5 78.125 (79.900)
Epoch: [61][10690/14090]	Time 0.771 (0.767)	Data 0.001 (0.001)	Loss 1.8908 (1.9307)	Prec@1 49.219 (50.084)	Prec@5 80.469 (79.901)
Epoch: [61][10700/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 1.9276 (1.9307)	Prec@1 52.344 (50.084)	Prec@5 81.250 (79.902)
Epoch: [61][10710/14090]	Time 0.898 (0.767)	Data 0.001 (0.001)	Loss 1.8117 (1.9306)	Prec@1 51.562 (50.084)	Prec@5 82.812 (79.903)
Epoch: [61][10720/14090]	Time 0.720 (0.767)	Data 0.001 (0.001)	Loss 1.8620 (1.9305)	Prec@1 54.688 (50.087)	Prec@5 82.812 (79.903)
Epoch: [61][10730/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 1.8667 (1.9305)	Prec@1 48.438 (50.088)	Prec@5 85.156 (79.905)
Epoch: [61][10740/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 1.8325 (1.9305)	Prec@1 51.562 (50.087)	Prec@5 82.812 (79.904)
Epoch: [61][10750/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 2.0286 (1.9305)	Prec@1 49.219 (50.087)	Prec@5 75.000 (79.904)
Epoch: [61][10760/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 1.7457 (1.9305)	Prec@1 55.469 (50.087)	Prec@5 80.469 (79.903)
Epoch: [61][10770/14090]	Time 0.767 (0.767)	Data 0.001 (0.001)	Loss 2.2036 (1.9305)	Prec@1 46.094 (50.085)	Prec@5 72.656 (79.902)
Epoch: [61][10780/14090]	Time 0.896 (0.767)	Data 0.001 (0.001)	Loss 2.1526 (1.9305)	Prec@1 47.656 (50.086)	Prec@5 73.438 (79.902)
Epoch: [61][10790/14090]	Time 0.725 (0.767)	Data 0.001 (0.001)	Loss 2.1921 (1.9306)	Prec@1 47.656 (50.083)	Prec@5 77.344 (79.901)
Epoch: [61][10800/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 1.9242 (1.9306)	Prec@1 46.094 (50.085)	Prec@5 82.812 (79.903)
Epoch: [61][10810/14090]	Time 0.779 (0.767)	Data 0.001 (0.001)	Loss 1.9036 (1.9305)	Prec@1 48.438 (50.086)	Prec@5 78.125 (79.903)
Epoch: [61][10820/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 1.7013 (1.9304)	Prec@1 52.344 (50.088)	Prec@5 82.031 (79.905)
Epoch: [61][10830/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 2.2508 (1.9305)	Prec@1 44.531 (50.087)	Prec@5 73.438 (79.903)
Epoch: [61][10840/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 2.0703 (1.9305)	Prec@1 42.969 (50.088)	Prec@5 80.469 (79.904)
Epoch: [61][10850/14090]	Time 0.834 (0.767)	Data 0.001 (0.001)	Loss 1.8986 (1.9304)	Prec@1 46.875 (50.088)	Prec@5 82.812 (79.905)
Epoch: [61][10860/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 1.7186 (1.9304)	Prec@1 53.125 (50.087)	Prec@5 83.594 (79.905)
Epoch: [61][10870/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 2.0704 (1.9304)	Prec@1 52.344 (50.087)	Prec@5 76.562 (79.905)
Epoch: [61][10880/14090]	Time 0.724 (0.767)	Data 0.001 (0.001)	Loss 2.1402 (1.9305)	Prec@1 47.656 (50.088)	Prec@5 78.125 (79.906)
Epoch: [61][10890/14090]	Time 0.782 (0.767)	Data 0.001 (0.001)	Loss 2.1117 (1.9305)	Prec@1 48.438 (50.089)	Prec@5 77.344 (79.906)
Epoch: [61][10900/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 1.7751 (1.9304)	Prec@1 56.250 (50.090)	Prec@5 82.031 (79.907)
Epoch: [61][10910/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 1.6819 (1.9304)	Prec@1 57.031 (50.091)	Prec@5 80.469 (79.908)
Epoch: [61][10920/14090]	Time 0.919 (0.767)	Data 0.001 (0.001)	Loss 2.2683 (1.9304)	Prec@1 45.312 (50.088)	Prec@5 72.656 (79.907)
Epoch: [61][10930/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 1.9377 (1.9304)	Prec@1 48.438 (50.087)	Prec@5 80.469 (79.907)
Epoch: [61][10940/14090]	Time 0.724 (0.767)	Data 0.001 (0.001)	Loss 1.7896 (1.9305)	Prec@1 50.000 (50.084)	Prec@5 78.906 (79.906)
Epoch: [61][10950/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 1.8940 (1.9304)	Prec@1 55.469 (50.086)	Prec@5 79.688 (79.907)
Epoch: [61][10960/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 2.0963 (1.9304)	Prec@1 43.750 (50.086)	Prec@5 77.344 (79.907)
Epoch: [61][10970/14090]	Time 0.721 (0.767)	Data 0.001 (0.001)	Loss 2.0571 (1.9304)	Prec@1 46.094 (50.085)	Prec@5 79.688 (79.908)
Epoch: [61][10980/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 1.8622 (1.9304)	Prec@1 53.125 (50.087)	Prec@5 82.812 (79.910)
Epoch: [61][10990/14090]	Time 0.878 (0.767)	Data 0.001 (0.001)	Loss 1.7066 (1.9304)	Prec@1 58.594 (50.086)	Prec@5 86.719 (79.909)
Epoch: [61][11000/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 1.9197 (1.9305)	Prec@1 50.781 (50.085)	Prec@5 82.812 (79.907)
Epoch: [61][11010/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 2.0301 (1.9305)	Prec@1 49.219 (50.083)	Prec@5 77.344 (79.906)
Epoch: [61][11020/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 1.7949 (1.9305)	Prec@1 57.812 (50.086)	Prec@5 83.594 (79.908)
Epoch: [61][11030/14090]	Time 0.731 (0.767)	Data 0.003 (0.001)	Loss 1.8519 (1.9304)	Prec@1 50.000 (50.087)	Prec@5 82.031 (79.909)
Epoch: [61][11040/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 1.7364 (1.9304)	Prec@1 49.219 (50.088)	Prec@5 81.250 (79.909)
Epoch: [61][11050/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 2.2782 (1.9305)	Prec@1 46.094 (50.085)	Prec@5 73.438 (79.906)
Epoch: [61][11060/14090]	Time 0.887 (0.767)	Data 0.001 (0.001)	Loss 2.0906 (1.9305)	Prec@1 45.312 (50.086)	Prec@5 78.125 (79.906)
Epoch: [61][11070/14090]	Time 0.724 (0.767)	Data 0.001 (0.001)	Loss 1.8531 (1.9305)	Prec@1 45.312 (50.086)	Prec@5 88.281 (79.906)
Epoch: [61][11080/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 1.6839 (1.9305)	Prec@1 58.594 (50.086)	Prec@5 81.250 (79.904)
Epoch: [61][11090/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 1.6173 (1.9304)	Prec@1 59.375 (50.087)	Prec@5 85.156 (79.907)
Epoch: [61][11100/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 1.8535 (1.9304)	Prec@1 59.375 (50.088)	Prec@5 75.781 (79.906)
Epoch: [61][11110/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 1.9869 (1.9305)	Prec@1 46.094 (50.086)	Prec@5 82.031 (79.906)
Epoch: [61][11120/14090]	Time 0.767 (0.767)	Data 0.001 (0.001)	Loss 1.8899 (1.9305)	Prec@1 45.312 (50.085)	Prec@5 83.594 (79.905)
Epoch: [61][11130/14090]	Time 0.886 (0.767)	Data 0.001 (0.001)	Loss 1.6183 (1.9305)	Prec@1 58.594 (50.086)	Prec@5 84.375 (79.906)
Epoch: [61][11140/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 1.6944 (1.9305)	Prec@1 53.125 (50.084)	Prec@5 88.281 (79.906)
Epoch: [61][11150/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 2.0763 (1.9306)	Prec@1 46.094 (50.083)	Prec@5 78.906 (79.906)
Epoch: [61][11160/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 1.9041 (1.9306)	Prec@1 49.219 (50.081)	Prec@5 82.812 (79.905)
Epoch: [61][11170/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 1.7327 (1.9306)	Prec@1 59.375 (50.081)	Prec@5 83.594 (79.904)
Epoch: [61][11180/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 1.8061 (1.9306)	Prec@1 54.688 (50.082)	Prec@5 83.594 (79.905)
Epoch: [61][11190/14090]	Time 0.736 (0.767)	Data 0.002 (0.001)	Loss 1.7449 (1.9306)	Prec@1 53.906 (50.084)	Prec@5 84.375 (79.906)
Epoch: [61][11200/14090]	Time 0.876 (0.767)	Data 0.001 (0.001)	Loss 1.8208 (1.9306)	Prec@1 48.438 (50.084)	Prec@5 79.688 (79.906)
Epoch: [61][11210/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 1.9481 (1.9306)	Prec@1 49.219 (50.082)	Prec@5 75.781 (79.904)
Epoch: [61][11220/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 1.9662 (1.9306)	Prec@1 46.875 (50.083)	Prec@5 81.250 (79.903)
Epoch: [61][11230/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 1.8465 (1.9306)	Prec@1 50.000 (50.084)	Prec@5 79.688 (79.902)
Epoch: [61][11240/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 1.7715 (1.9305)	Prec@1 53.906 (50.087)	Prec@5 86.719 (79.904)
Epoch: [61][11250/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.1782 (1.9305)	Prec@1 44.531 (50.089)	Prec@5 77.344 (79.906)
Epoch: [61][11260/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 1.7321 (1.9304)	Prec@1 54.688 (50.091)	Prec@5 83.594 (79.907)
Epoch: [61][11270/14090]	Time 0.888 (0.767)	Data 0.001 (0.001)	Loss 1.8467 (1.9304)	Prec@1 50.781 (50.092)	Prec@5 80.469 (79.906)
Epoch: [61][11280/14090]	Time 0.775 (0.767)	Data 0.001 (0.001)	Loss 1.8685 (1.9304)	Prec@1 51.562 (50.092)	Prec@5 81.250 (79.905)
Epoch: [61][11290/14090]	Time 0.725 (0.767)	Data 0.002 (0.001)	Loss 1.9655 (1.9304)	Prec@1 49.219 (50.093)	Prec@5 77.344 (79.906)
Epoch: [61][11300/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.0689 (1.9304)	Prec@1 45.312 (50.094)	Prec@5 80.469 (79.906)
Epoch: [61][11310/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 1.7239 (1.9303)	Prec@1 58.594 (50.095)	Prec@5 85.156 (79.908)
Epoch: [61][11320/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 1.9566 (1.9303)	Prec@1 50.000 (50.097)	Prec@5 78.906 (79.909)
Epoch: [61][11330/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 1.9247 (1.9303)	Prec@1 48.438 (50.098)	Prec@5 84.375 (79.909)
Epoch: [61][11340/14090]	Time 0.910 (0.767)	Data 0.001 (0.001)	Loss 1.8372 (1.9304)	Prec@1 52.344 (50.096)	Prec@5 80.469 (79.907)
Epoch: [61][11350/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 1.8886 (1.9303)	Prec@1 50.781 (50.099)	Prec@5 79.688 (79.909)
Epoch: [61][11360/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 1.6655 (1.9303)	Prec@1 53.125 (50.097)	Prec@5 87.500 (79.908)
Epoch: [61][11370/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 1.8769 (1.9304)	Prec@1 50.000 (50.096)	Prec@5 84.375 (79.907)
Epoch: [61][11380/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 1.6564 (1.9304)	Prec@1 59.375 (50.096)	Prec@5 85.938 (79.908)
Epoch: [61][11390/14090]	Time 0.721 (0.767)	Data 0.002 (0.001)	Loss 1.8117 (1.9304)	Prec@1 57.031 (50.098)	Prec@5 82.031 (79.908)
Epoch: [61][11400/14090]	Time 0.738 (0.767)	Data 0.002 (0.001)	Loss 2.2465 (1.9304)	Prec@1 45.312 (50.098)	Prec@5 71.875 (79.908)
Epoch: [61][11410/14090]	Time 0.876 (0.767)	Data 0.001 (0.001)	Loss 1.9122 (1.9303)	Prec@1 53.906 (50.100)	Prec@5 79.688 (79.909)
Epoch: [61][11420/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 1.9619 (1.9304)	Prec@1 53.125 (50.098)	Prec@5 81.250 (79.907)
Epoch: [61][11430/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 1.9242 (1.9304)	Prec@1 50.000 (50.095)	Prec@5 80.469 (79.907)
Epoch: [61][11440/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 1.5403 (1.9304)	Prec@1 58.594 (50.095)	Prec@5 84.375 (79.907)
Epoch: [61][11450/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 1.9311 (1.9304)	Prec@1 49.219 (50.096)	Prec@5 84.375 (79.908)
Epoch: [61][11460/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 2.0480 (1.9304)	Prec@1 53.125 (50.096)	Prec@5 79.688 (79.908)
Epoch: [61][11470/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 1.8943 (1.9304)	Prec@1 53.125 (50.095)	Prec@5 82.031 (79.907)
Epoch: [61][11480/14090]	Time 0.890 (0.767)	Data 0.001 (0.001)	Loss 1.9505 (1.9304)	Prec@1 49.219 (50.095)	Prec@5 77.344 (79.907)
Epoch: [61][11490/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 1.7719 (1.9304)	Prec@1 51.562 (50.095)	Prec@5 79.688 (79.907)
Epoch: [61][11500/14090]	Time 0.725 (0.767)	Data 0.001 (0.001)	Loss 1.9185 (1.9304)	Prec@1 48.438 (50.094)	Prec@5 79.688 (79.907)
Epoch: [61][11510/14090]	Time 0.726 (0.767)	Data 0.001 (0.001)	Loss 1.8004 (1.9304)	Prec@1 52.344 (50.095)	Prec@5 84.375 (79.908)
Epoch: [61][11520/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 1.8041 (1.9304)	Prec@1 55.469 (50.096)	Prec@5 85.156 (79.909)
Epoch: [61][11530/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 2.0593 (1.9304)	Prec@1 45.312 (50.094)	Prec@5 77.344 (79.909)
Epoch: [61][11540/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 1.9773 (1.9304)	Prec@1 46.875 (50.093)	Prec@5 77.344 (79.909)
Epoch: [61][11550/14090]	Time 0.861 (0.767)	Data 0.001 (0.001)	Loss 2.3244 (1.9305)	Prec@1 39.062 (50.093)	Prec@5 69.531 (79.907)
Epoch: [61][11560/14090]	Time 0.722 (0.767)	Data 0.001 (0.001)	Loss 1.8564 (1.9305)	Prec@1 47.656 (50.091)	Prec@5 82.031 (79.907)
Epoch: [61][11570/14090]	Time 0.725 (0.767)	Data 0.001 (0.001)	Loss 1.8355 (1.9304)	Prec@1 58.594 (50.094)	Prec@5 79.688 (79.908)
Epoch: [61][11580/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 2.1799 (1.9306)	Prec@1 46.875 (50.092)	Prec@5 73.438 (79.905)
Epoch: [61][11590/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 1.7245 (1.9306)	Prec@1 55.469 (50.091)	Prec@5 83.594 (79.906)
Epoch: [61][11600/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 2.0084 (1.9307)	Prec@1 45.312 (50.089)	Prec@5 82.812 (79.905)
Epoch: [61][11610/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 1.9177 (1.9307)	Prec@1 55.469 (50.089)	Prec@5 80.469 (79.905)
Epoch: [61][11620/14090]	Time 0.861 (0.767)	Data 0.001 (0.001)	Loss 2.0398 (1.9306)	Prec@1 44.531 (50.091)	Prec@5 78.906 (79.907)
Epoch: [61][11630/14090]	Time 0.783 (0.767)	Data 0.001 (0.001)	Loss 2.0203 (1.9306)	Prec@1 50.000 (50.092)	Prec@5 78.906 (79.905)
Epoch: [61][11640/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 1.8609 (1.9307)	Prec@1 58.594 (50.092)	Prec@5 81.250 (79.905)
Epoch: [61][11650/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 1.9506 (1.9307)	Prec@1 48.438 (50.090)	Prec@5 81.250 (79.904)
Epoch: [61][11660/14090]	Time 0.769 (0.767)	Data 0.001 (0.001)	Loss 1.9840 (1.9308)	Prec@1 54.688 (50.090)	Prec@5 75.781 (79.903)
Epoch: [61][11670/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 1.5790 (1.9307)	Prec@1 56.250 (50.091)	Prec@5 83.594 (79.904)
Epoch: [61][11680/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 1.8322 (1.9308)	Prec@1 50.781 (50.090)	Prec@5 84.375 (79.904)
Epoch: [61][11690/14090]	Time 0.873 (0.767)	Data 0.001 (0.001)	Loss 1.7840 (1.9308)	Prec@1 53.906 (50.090)	Prec@5 87.500 (79.904)
Epoch: [61][11700/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.1091 (1.9307)	Prec@1 47.656 (50.091)	Prec@5 77.344 (79.904)
Epoch: [61][11710/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 1.9537 (1.9307)	Prec@1 47.656 (50.090)	Prec@5 78.906 (79.904)
Epoch: [61][11720/14090]	Time 0.782 (0.767)	Data 0.001 (0.001)	Loss 1.9958 (1.9308)	Prec@1 52.344 (50.090)	Prec@5 79.688 (79.903)
Epoch: [61][11730/14090]	Time 0.718 (0.767)	Data 0.001 (0.001)	Loss 1.9495 (1.9308)	Prec@1 46.094 (50.090)	Prec@5 77.344 (79.903)
Epoch: [61][11740/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 1.7045 (1.9308)	Prec@1 50.781 (50.091)	Prec@5 84.375 (79.904)
Epoch: [61][11750/14090]	Time 0.765 (0.767)	Data 0.001 (0.001)	Loss 1.9896 (1.9309)	Prec@1 48.438 (50.091)	Prec@5 80.469 (79.902)
Epoch: [61][11760/14090]	Time 0.881 (0.767)	Data 0.001 (0.001)	Loss 1.7955 (1.9309)	Prec@1 50.781 (50.090)	Prec@5 82.812 (79.901)
Epoch: [61][11770/14090]	Time 0.770 (0.767)	Data 0.001 (0.001)	Loss 1.8217 (1.9308)	Prec@1 49.219 (50.091)	Prec@5 80.469 (79.901)
Epoch: [61][11780/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 1.7315 (1.9308)	Prec@1 55.469 (50.090)	Prec@5 83.594 (79.901)
Epoch: [61][11790/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 1.9732 (1.9309)	Prec@1 50.000 (50.089)	Prec@5 78.906 (79.901)
Epoch: [61][11800/14090]	Time 0.785 (0.767)	Data 0.001 (0.001)	Loss 1.7692 (1.9308)	Prec@1 50.781 (50.089)	Prec@5 81.250 (79.901)
Epoch: [61][11810/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 2.1256 (1.9309)	Prec@1 45.312 (50.087)	Prec@5 75.000 (79.900)
Epoch: [61][11820/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 1.8853 (1.9309)	Prec@1 53.125 (50.087)	Prec@5 84.375 (79.901)
Epoch: [61][11830/14090]	Time 0.860 (0.767)	Data 0.001 (0.001)	Loss 1.9008 (1.9308)	Prec@1 52.344 (50.087)	Prec@5 82.031 (79.901)
Epoch: [61][11840/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 2.1010 (1.9309)	Prec@1 46.094 (50.085)	Prec@5 76.562 (79.900)
Epoch: [61][11850/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 2.1715 (1.9309)	Prec@1 42.969 (50.085)	Prec@5 75.781 (79.901)
Epoch: [61][11860/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 1.9378 (1.9309)	Prec@1 50.781 (50.085)	Prec@5 79.688 (79.902)
Epoch: [61][11870/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 1.9896 (1.9308)	Prec@1 49.219 (50.085)	Prec@5 81.250 (79.903)
Epoch: [61][11880/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 2.0811 (1.9308)	Prec@1 43.750 (50.084)	Prec@5 76.562 (79.903)
Epoch: [61][11890/14090]	Time 0.744 (0.767)	Data 0.002 (0.001)	Loss 2.0034 (1.9308)	Prec@1 44.531 (50.086)	Prec@5 76.562 (79.905)
Epoch: [61][11900/14090]	Time 0.891 (0.767)	Data 0.001 (0.001)	Loss 1.9419 (1.9308)	Prec@1 53.125 (50.086)	Prec@5 78.125 (79.904)
Epoch: [61][11910/14090]	Time 0.766 (0.767)	Data 0.001 (0.001)	Loss 1.7124 (1.9308)	Prec@1 56.250 (50.086)	Prec@5 78.906 (79.904)
Epoch: [61][11920/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 1.9625 (1.9307)	Prec@1 46.094 (50.087)	Prec@5 76.562 (79.905)
Epoch: [61][11930/14090]	Time 0.774 (0.767)	Data 0.001 (0.001)	Loss 1.9201 (1.9307)	Prec@1 53.125 (50.087)	Prec@5 80.469 (79.906)
Epoch: [61][11940/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 2.0282 (1.9307)	Prec@1 50.781 (50.086)	Prec@5 77.344 (79.906)
Epoch: [61][11950/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 2.0963 (1.9307)	Prec@1 47.656 (50.085)	Prec@5 75.781 (79.904)
Epoch: [61][11960/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 2.1120 (1.9308)	Prec@1 45.312 (50.086)	Prec@5 77.344 (79.904)
Epoch: [61][11970/14090]	Time 0.881 (0.767)	Data 0.001 (0.001)	Loss 1.9298 (1.9308)	Prec@1 53.125 (50.086)	Prec@5 80.469 (79.904)
Epoch: [61][11980/14090]	Time 0.766 (0.767)	Data 0.001 (0.001)	Loss 1.7880 (1.9309)	Prec@1 50.000 (50.084)	Prec@5 80.469 (79.902)
Epoch: [61][11990/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 1.8642 (1.9309)	Prec@1 57.812 (50.082)	Prec@5 78.906 (79.901)
Epoch: [61][12000/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 1.8535 (1.9309)	Prec@1 53.906 (50.082)	Prec@5 80.469 (79.900)
Epoch: [61][12010/14090]	Time 0.769 (0.767)	Data 0.001 (0.001)	Loss 2.0020 (1.9310)	Prec@1 50.000 (50.081)	Prec@5 78.906 (79.901)
Epoch: [61][12020/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 2.2864 (1.9310)	Prec@1 47.656 (50.081)	Prec@5 75.000 (79.902)
Epoch: [61][12030/14090]	Time 0.763 (0.767)	Data 0.001 (0.001)	Loss 1.8584 (1.9310)	Prec@1 53.125 (50.083)	Prec@5 82.812 (79.903)
Epoch: [61][12040/14090]	Time 0.869 (0.767)	Data 0.001 (0.001)	Loss 2.1493 (1.9310)	Prec@1 42.188 (50.082)	Prec@5 78.906 (79.904)
Epoch: [61][12050/14090]	Time 0.767 (0.767)	Data 0.001 (0.001)	Loss 2.0680 (1.9310)	Prec@1 43.750 (50.081)	Prec@5 76.562 (79.903)
Epoch: [61][12060/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 1.9323 (1.9310)	Prec@1 55.469 (50.083)	Prec@5 78.906 (79.903)
Epoch: [61][12070/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 2.0345 (1.9310)	Prec@1 49.219 (50.082)	Prec@5 79.688 (79.904)
Epoch: [61][12080/14090]	Time 0.722 (0.767)	Data 0.001 (0.001)	Loss 2.0987 (1.9311)	Prec@1 47.656 (50.082)	Prec@5 78.125 (79.904)
Epoch: [61][12090/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 1.7997 (1.9310)	Prec@1 50.000 (50.084)	Prec@5 82.031 (79.904)
Epoch: [61][12100/14090]	Time 0.726 (0.767)	Data 0.001 (0.001)	Loss 1.8934 (1.9309)	Prec@1 53.125 (50.086)	Prec@5 79.688 (79.906)
Epoch: [61][12110/14090]	Time 0.908 (0.767)	Data 0.001 (0.001)	Loss 1.9238 (1.9309)	Prec@1 44.531 (50.085)	Prec@5 82.031 (79.905)
Epoch: [61][12120/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 1.8902 (1.9310)	Prec@1 49.219 (50.084)	Prec@5 83.594 (79.904)
Epoch: [61][12130/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 1.8330 (1.9309)	Prec@1 50.781 (50.086)	Prec@5 81.250 (79.905)
Epoch: [61][12140/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 1.8220 (1.9309)	Prec@1 53.906 (50.087)	Prec@5 79.688 (79.905)
Epoch: [61][12150/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 2.0323 (1.9309)	Prec@1 48.438 (50.088)	Prec@5 75.781 (79.904)
Epoch: [61][12160/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 2.0016 (1.9309)	Prec@1 53.906 (50.088)	Prec@5 78.906 (79.905)
Epoch: [61][12170/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 1.7799 (1.9308)	Prec@1 60.938 (50.090)	Prec@5 83.594 (79.905)
Epoch: [61][12180/14090]	Time 0.878 (0.767)	Data 0.001 (0.001)	Loss 1.9974 (1.9308)	Prec@1 50.000 (50.089)	Prec@5 77.344 (79.904)
Epoch: [61][12190/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 2.0147 (1.9308)	Prec@1 45.312 (50.089)	Prec@5 79.688 (79.905)
Epoch: [61][12200/14090]	Time 0.771 (0.767)	Data 0.001 (0.001)	Loss 1.7711 (1.9308)	Prec@1 57.031 (50.090)	Prec@5 76.562 (79.905)
Epoch: [61][12210/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 2.0068 (1.9308)	Prec@1 50.000 (50.090)	Prec@5 80.469 (79.904)
Epoch: [61][12220/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 1.7249 (1.9308)	Prec@1 53.125 (50.092)	Prec@5 84.375 (79.905)
Epoch: [61][12230/14090]	Time 0.738 (0.767)	Data 0.002 (0.001)	Loss 1.9857 (1.9308)	Prec@1 50.000 (50.092)	Prec@5 75.000 (79.904)
Epoch: [61][12240/14090]	Time 0.763 (0.767)	Data 0.001 (0.001)	Loss 2.2254 (1.9309)	Prec@1 46.094 (50.090)	Prec@5 75.000 (79.903)
Epoch: [61][12250/14090]	Time 0.833 (0.767)	Data 0.001 (0.001)	Loss 1.6881 (1.9309)	Prec@1 57.812 (50.091)	Prec@5 85.938 (79.904)
Epoch: [61][12260/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 1.8782 (1.9309)	Prec@1 52.344 (50.090)	Prec@5 85.938 (79.904)
Epoch: [61][12270/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 1.8402 (1.9309)	Prec@1 48.438 (50.089)	Prec@5 80.469 (79.902)
Epoch: [61][12280/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 1.9730 (1.9309)	Prec@1 47.656 (50.089)	Prec@5 82.031 (79.903)
Epoch: [61][12290/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 1.9770 (1.9309)	Prec@1 44.531 (50.090)	Prec@5 75.781 (79.903)
Epoch: [61][12300/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 2.3228 (1.9309)	Prec@1 44.531 (50.089)	Prec@5 73.438 (79.902)
Epoch: [61][12310/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 2.0091 (1.9309)	Prec@1 50.000 (50.091)	Prec@5 81.250 (79.903)
Epoch: [61][12320/14090]	Time 0.864 (0.767)	Data 0.001 (0.001)	Loss 1.9981 (1.9309)	Prec@1 49.219 (50.091)	Prec@5 81.250 (79.903)
Epoch: [61][12330/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 1.7296 (1.9309)	Prec@1 53.125 (50.092)	Prec@5 87.500 (79.903)
Epoch: [61][12340/14090]	Time 0.746 (0.766)	Data 0.003 (0.001)	Loss 1.9795 (1.9309)	Prec@1 46.875 (50.092)	Prec@5 78.906 (79.902)
Epoch: [61][12350/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 1.8611 (1.9309)	Prec@1 50.781 (50.092)	Prec@5 79.688 (79.903)
Epoch: [61][12360/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.0203 (1.9309)	Prec@1 49.219 (50.093)	Prec@5 82.031 (79.903)
Epoch: [61][12370/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 1.7683 (1.9309)	Prec@1 50.781 (50.092)	Prec@5 84.375 (79.903)
Epoch: [61][12380/14090]	Time 0.756 (0.766)	Data 0.002 (0.001)	Loss 2.0313 (1.9309)	Prec@1 44.531 (50.091)	Prec@5 82.031 (79.904)
Epoch: [61][12390/14090]	Time 0.839 (0.766)	Data 0.001 (0.001)	Loss 1.8372 (1.9308)	Prec@1 54.688 (50.093)	Prec@5 81.250 (79.906)
Epoch: [61][12400/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 1.8763 (1.9308)	Prec@1 50.781 (50.093)	Prec@5 81.250 (79.906)
Epoch: [61][12410/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 2.2547 (1.9309)	Prec@1 43.750 (50.093)	Prec@5 71.094 (79.904)
Epoch: [61][12420/14090]	Time 0.775 (0.766)	Data 0.001 (0.001)	Loss 2.2144 (1.9309)	Prec@1 42.188 (50.092)	Prec@5 76.562 (79.903)
Epoch: [61][12430/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 1.8272 (1.9309)	Prec@1 53.125 (50.092)	Prec@5 81.250 (79.903)
Epoch: [61][12440/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.0128 (1.9309)	Prec@1 43.750 (50.092)	Prec@5 79.688 (79.903)
Epoch: [61][12450/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 1.7656 (1.9309)	Prec@1 52.344 (50.092)	Prec@5 85.156 (79.903)
Epoch: [61][12460/14090]	Time 0.830 (0.766)	Data 0.001 (0.001)	Loss 1.9193 (1.9309)	Prec@1 51.562 (50.092)	Prec@5 80.469 (79.903)
Epoch: [61][12470/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 1.8217 (1.9309)	Prec@1 53.125 (50.092)	Prec@5 86.719 (79.903)
Epoch: [61][12480/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 1.8375 (1.9308)	Prec@1 50.000 (50.093)	Prec@5 82.031 (79.903)
Epoch: [61][12490/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.2196 (1.9308)	Prec@1 50.000 (50.093)	Prec@5 71.875 (79.902)
Epoch: [61][12500/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.1068 (1.9308)	Prec@1 46.094 (50.093)	Prec@5 75.000 (79.902)
Epoch: [61][12510/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 1.9431 (1.9309)	Prec@1 50.781 (50.092)	Prec@5 83.594 (79.901)
Epoch: [61][12520/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 1.7596 (1.9309)	Prec@1 53.125 (50.092)	Prec@5 81.250 (79.901)
Epoch: [61][12530/14090]	Time 0.858 (0.766)	Data 0.001 (0.001)	Loss 2.1046 (1.9309)	Prec@1 41.406 (50.090)	Prec@5 79.688 (79.900)
Epoch: [61][12540/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 1.7606 (1.9309)	Prec@1 55.469 (50.089)	Prec@5 78.906 (79.900)
Epoch: [61][12550/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.2532 (1.9309)	Prec@1 43.750 (50.088)	Prec@5 71.094 (79.899)
Epoch: [61][12560/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 1.9134 (1.9309)	Prec@1 50.781 (50.088)	Prec@5 76.562 (79.898)
Epoch: [61][12570/14090]	Time 0.777 (0.766)	Data 0.001 (0.001)	Loss 1.9848 (1.9310)	Prec@1 51.562 (50.088)	Prec@5 73.438 (79.897)
Epoch: [61][12580/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 1.9262 (1.9309)	Prec@1 52.344 (50.089)	Prec@5 79.688 (79.898)
Epoch: [61][12590/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 1.8433 (1.9309)	Prec@1 47.656 (50.089)	Prec@5 85.156 (79.899)
Epoch: [61][12600/14090]	Time 0.889 (0.766)	Data 0.001 (0.001)	Loss 2.2826 (1.9310)	Prec@1 43.750 (50.088)	Prec@5 79.688 (79.898)
Epoch: [61][12610/14090]	Time 0.724 (0.766)	Data 0.001 (0.001)	Loss 1.8273 (1.9309)	Prec@1 50.000 (50.088)	Prec@5 81.250 (79.898)
Epoch: [61][12620/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 1.9101 (1.9309)	Prec@1 55.469 (50.089)	Prec@5 78.125 (79.898)
Epoch: [61][12630/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 1.6269 (1.9309)	Prec@1 55.469 (50.088)	Prec@5 85.938 (79.899)
Epoch: [61][12640/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.0790 (1.9308)	Prec@1 42.969 (50.089)	Prec@5 75.781 (79.900)
Epoch: [61][12650/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 1.9216 (1.9308)	Prec@1 50.000 (50.089)	Prec@5 81.250 (79.899)
Epoch: [61][12660/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 1.7434 (1.9308)	Prec@1 60.156 (50.088)	Prec@5 81.250 (79.899)
Epoch: [61][12670/14090]	Time 0.873 (0.766)	Data 0.001 (0.001)	Loss 2.1457 (1.9308)	Prec@1 42.188 (50.088)	Prec@5 71.875 (79.899)
Epoch: [61][12680/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 1.8710 (1.9308)	Prec@1 58.594 (50.090)	Prec@5 81.250 (79.900)
Epoch: [61][12690/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 1.8755 (1.9308)	Prec@1 50.000 (50.088)	Prec@5 81.250 (79.900)
Epoch: [61][12700/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 1.5253 (1.9308)	Prec@1 59.375 (50.090)	Prec@5 83.594 (79.900)
Epoch: [61][12710/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 2.1169 (1.9307)	Prec@1 50.000 (50.091)	Prec@5 79.688 (79.899)
Epoch: [61][12720/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 1.8307 (1.9308)	Prec@1 53.125 (50.092)	Prec@5 83.594 (79.898)
Epoch: [61][12730/14090]	Time 0.770 (0.766)	Data 0.001 (0.001)	Loss 1.8362 (1.9308)	Prec@1 50.000 (50.092)	Prec@5 81.250 (79.898)
Epoch: [61][12740/14090]	Time 0.824 (0.766)	Data 0.001 (0.001)	Loss 1.8549 (1.9307)	Prec@1 50.781 (50.092)	Prec@5 85.156 (79.900)
Epoch: [61][12750/14090]	Time 0.757 (0.766)	Data 0.002 (0.001)	Loss 1.9880 (1.9307)	Prec@1 50.781 (50.092)	Prec@5 78.906 (79.899)
Epoch: [61][12760/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 1.9412 (1.9307)	Prec@1 52.344 (50.092)	Prec@5 79.688 (79.899)
Epoch: [61][12770/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.1737 (1.9308)	Prec@1 37.500 (50.090)	Prec@5 76.562 (79.899)
Epoch: [61][12780/14090]	Time 0.769 (0.766)	Data 0.001 (0.001)	Loss 2.0735 (1.9308)	Prec@1 55.469 (50.091)	Prec@5 79.688 (79.898)
Epoch: [61][12790/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 1.9191 (1.9307)	Prec@1 50.781 (50.091)	Prec@5 78.906 (79.900)
Epoch: [61][12800/14090]	Time 0.767 (0.766)	Data 0.001 (0.001)	Loss 1.9887 (1.9307)	Prec@1 57.031 (50.092)	Prec@5 78.125 (79.900)
Epoch: [61][12810/14090]	Time 0.884 (0.766)	Data 0.001 (0.001)	Loss 2.1430 (1.9307)	Prec@1 44.531 (50.093)	Prec@5 75.000 (79.900)
Epoch: [61][12820/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 1.9397 (1.9307)	Prec@1 46.094 (50.092)	Prec@5 79.688 (79.899)
Epoch: [61][12830/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 1.8709 (1.9308)	Prec@1 52.344 (50.091)	Prec@5 82.031 (79.900)
Epoch: [61][12840/14090]	Time 0.780 (0.766)	Data 0.001 (0.001)	Loss 1.8951 (1.9307)	Prec@1 52.344 (50.091)	Prec@5 82.812 (79.901)
Epoch: [61][12850/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.0964 (1.9307)	Prec@1 45.312 (50.092)	Prec@5 79.688 (79.902)
Epoch: [61][12860/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.1356 (1.9307)	Prec@1 50.000 (50.091)	Prec@5 71.875 (79.901)
Epoch: [61][12870/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.0151 (1.9307)	Prec@1 46.875 (50.091)	Prec@5 80.469 (79.900)
Epoch: [61][12880/14090]	Time 0.863 (0.766)	Data 0.001 (0.001)	Loss 1.7968 (1.9307)	Prec@1 53.906 (50.091)	Prec@5 81.250 (79.899)
Epoch: [61][12890/14090]	Time 0.723 (0.766)	Data 0.001 (0.001)	Loss 1.7058 (1.9307)	Prec@1 53.906 (50.092)	Prec@5 87.500 (79.900)
Epoch: [61][12900/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 1.7606 (1.9307)	Prec@1 54.688 (50.092)	Prec@5 79.688 (79.900)
Epoch: [61][12910/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 1.9645 (1.9308)	Prec@1 48.438 (50.091)	Prec@5 80.469 (79.900)
Epoch: [61][12920/14090]	Time 0.723 (0.766)	Data 0.001 (0.001)	Loss 1.6782 (1.9307)	Prec@1 53.125 (50.090)	Prec@5 81.250 (79.900)
Epoch: [61][12930/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 1.6933 (1.9306)	Prec@1 54.688 (50.093)	Prec@5 83.594 (79.901)
Epoch: [61][12940/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 2.1232 (1.9307)	Prec@1 44.531 (50.092)	Prec@5 78.906 (79.901)
Epoch: [61][12950/14090]	Time 0.871 (0.766)	Data 0.001 (0.001)	Loss 2.0111 (1.9306)	Prec@1 49.219 (50.094)	Prec@5 78.125 (79.902)
Epoch: [61][12960/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 1.7979 (1.9306)	Prec@1 51.562 (50.094)	Prec@5 82.031 (79.902)
Epoch: [61][12970/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 1.8354 (1.9306)	Prec@1 51.562 (50.093)	Prec@5 82.031 (79.902)
Epoch: [61][12980/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 1.8119 (1.9307)	Prec@1 53.125 (50.092)	Prec@5 76.562 (79.901)
Epoch: [61][12990/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 1.7945 (1.9306)	Prec@1 50.781 (50.091)	Prec@5 79.688 (79.901)
Epoch: [61][13000/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 1.7472 (1.9306)	Prec@1 53.125 (50.091)	Prec@5 78.906 (79.902)
Epoch: [61][13010/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.2202 (1.9306)	Prec@1 42.969 (50.089)	Prec@5 75.781 (79.901)
Epoch: [61][13020/14090]	Time 0.930 (0.766)	Data 0.001 (0.001)	Loss 1.6333 (1.9306)	Prec@1 55.469 (50.090)	Prec@5 86.719 (79.903)
Epoch: [61][13030/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 1.8728 (1.9306)	Prec@1 51.562 (50.088)	Prec@5 78.125 (79.902)
Epoch: [61][13040/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.3011 (1.9307)	Prec@1 43.750 (50.086)	Prec@5 75.000 (79.900)
Epoch: [61][13050/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 1.6866 (1.9307)	Prec@1 52.344 (50.086)	Prec@5 84.375 (79.900)
Epoch: [61][13060/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 1.9074 (1.9307)	Prec@1 46.875 (50.086)	Prec@5 78.125 (79.899)
Epoch: [61][13070/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.1332 (1.9308)	Prec@1 46.875 (50.083)	Prec@5 75.781 (79.899)
Epoch: [61][13080/14090]	Time 0.746 (0.766)	Data 0.002 (0.001)	Loss 1.9727 (1.9307)	Prec@1 46.875 (50.084)	Prec@5 80.469 (79.899)
Epoch: [61][13090/14090]	Time 0.866 (0.766)	Data 0.001 (0.001)	Loss 2.0574 (1.9307)	Prec@1 49.219 (50.084)	Prec@5 80.469 (79.900)
Epoch: [61][13100/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 1.8217 (1.9307)	Prec@1 50.000 (50.084)	Prec@5 83.594 (79.900)
Epoch: [61][13110/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.0706 (1.9307)	Prec@1 42.969 (50.083)	Prec@5 78.125 (79.900)
Epoch: [61][13120/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 1.9479 (1.9307)	Prec@1 50.781 (50.083)	Prec@5 74.219 (79.899)
Epoch: [61][13130/14090]	Time 0.772 (0.766)	Data 0.001 (0.001)	Loss 2.2387 (1.9307)	Prec@1 46.094 (50.084)	Prec@5 75.781 (79.899)
Epoch: [61][13140/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 1.7609 (1.9307)	Prec@1 50.000 (50.083)	Prec@5 85.156 (79.899)
Epoch: [61][13150/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 1.9016 (1.9307)	Prec@1 57.812 (50.082)	Prec@5 77.344 (79.899)
Epoch: [61][13160/14090]	Time 0.908 (0.766)	Data 0.001 (0.001)	Loss 1.9040 (1.9307)	Prec@1 43.750 (50.081)	Prec@5 85.156 (79.899)
Epoch: [61][13170/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.0674 (1.9308)	Prec@1 44.531 (50.079)	Prec@5 78.125 (79.899)
Epoch: [61][13180/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 1.9666 (1.9307)	Prec@1 51.562 (50.080)	Prec@5 82.031 (79.900)
Epoch: [61][13190/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 1.5796 (1.9307)	Prec@1 56.250 (50.080)	Prec@5 87.500 (79.901)
Epoch: [61][13200/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.0474 (1.9307)	Prec@1 43.750 (50.080)	Prec@5 78.125 (79.901)
Epoch: [61][13210/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.0237 (1.9307)	Prec@1 50.000 (50.080)	Prec@5 74.219 (79.900)
Epoch: [61][13220/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 1.7093 (1.9308)	Prec@1 53.906 (50.078)	Prec@5 85.156 (79.899)
Epoch: [61][13230/14090]	Time 0.860 (0.766)	Data 0.001 (0.001)	Loss 2.0943 (1.9308)	Prec@1 46.094 (50.078)	Prec@5 75.781 (79.898)
Epoch: [61][13240/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 1.9332 (1.9308)	Prec@1 52.344 (50.080)	Prec@5 77.344 (79.898)
Epoch: [61][13250/14090]	Time 0.720 (0.766)	Data 0.001 (0.001)	Loss 1.8810 (1.9307)	Prec@1 48.438 (50.082)	Prec@5 83.594 (79.898)
Epoch: [61][13260/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 1.9349 (1.9308)	Prec@1 47.656 (50.080)	Prec@5 76.562 (79.897)
Epoch: [61][13270/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.2341 (1.9308)	Prec@1 44.531 (50.080)	Prec@5 76.562 (79.897)
Epoch: [61][13280/14090]	Time 0.724 (0.766)	Data 0.001 (0.001)	Loss 1.7802 (1.9309)	Prec@1 57.031 (50.079)	Prec@5 82.812 (79.896)
Epoch: [61][13290/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.0011 (1.9309)	Prec@1 47.656 (50.078)	Prec@5 79.688 (79.895)
Epoch: [61][13300/14090]	Time 0.887 (0.766)	Data 0.001 (0.001)	Loss 2.3053 (1.9310)	Prec@1 46.875 (50.078)	Prec@5 71.094 (79.894)
Epoch: [61][13310/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 1.7715 (1.9310)	Prec@1 56.250 (50.077)	Prec@5 82.031 (79.894)
Epoch: [61][13320/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 1.8062 (1.9310)	Prec@1 51.562 (50.076)	Prec@5 83.594 (79.895)
Epoch: [61][13330/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 1.6612 (1.9310)	Prec@1 57.031 (50.075)	Prec@5 87.500 (79.895)
Epoch: [61][13340/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 1.9103 (1.9310)	Prec@1 48.438 (50.076)	Prec@5 81.250 (79.896)
Epoch: [61][13350/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 1.8062 (1.9309)	Prec@1 51.562 (50.077)	Prec@5 83.594 (79.896)
Epoch: [61][13360/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 1.9723 (1.9309)	Prec@1 52.344 (50.078)	Prec@5 71.875 (79.895)
Epoch: [61][13370/14090]	Time 0.849 (0.766)	Data 0.001 (0.001)	Loss 1.8944 (1.9309)	Prec@1 52.344 (50.078)	Prec@5 80.469 (79.896)
Epoch: [61][13380/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 1.9507 (1.9309)	Prec@1 45.312 (50.078)	Prec@5 80.469 (79.895)
Epoch: [61][13390/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.2862 (1.9309)	Prec@1 42.969 (50.077)	Prec@5 67.969 (79.894)
Epoch: [61][13400/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 1.6922 (1.9309)	Prec@1 54.688 (50.077)	Prec@5 83.594 (79.894)
Epoch: [61][13410/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 1.8891 (1.9309)	Prec@1 48.438 (50.076)	Prec@5 81.250 (79.894)
Epoch: [61][13420/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 1.5545 (1.9310)	Prec@1 56.250 (50.074)	Prec@5 90.625 (79.894)
Epoch: [61][13430/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.1267 (1.9310)	Prec@1 47.656 (50.075)	Prec@5 78.125 (79.894)
Epoch: [61][13440/14090]	Time 0.871 (0.766)	Data 0.001 (0.001)	Loss 2.2407 (1.9310)	Prec@1 48.438 (50.076)	Prec@5 75.781 (79.894)
Epoch: [61][13450/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.0067 (1.9309)	Prec@1 46.875 (50.077)	Prec@5 78.906 (79.896)
Epoch: [61][13460/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.0946 (1.9309)	Prec@1 47.656 (50.076)	Prec@5 81.250 (79.896)
Epoch: [61][13470/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.0835 (1.9309)	Prec@1 47.656 (50.079)	Prec@5 71.875 (79.896)
Epoch: [61][13480/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 1.8126 (1.9309)	Prec@1 56.250 (50.079)	Prec@5 83.594 (79.896)
Epoch: [61][13490/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.0418 (1.9309)	Prec@1 50.000 (50.079)	Prec@5 77.344 (79.896)
Epoch: [61][13500/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.0611 (1.9309)	Prec@1 46.875 (50.079)	Prec@5 76.562 (79.895)
Epoch: [61][13510/14090]	Time 0.865 (0.766)	Data 0.001 (0.001)	Loss 1.6455 (1.9310)	Prec@1 54.688 (50.079)	Prec@5 88.281 (79.895)
Epoch: [61][13520/14090]	Time 0.768 (0.766)	Data 0.001 (0.001)	Loss 1.8989 (1.9310)	Prec@1 48.438 (50.078)	Prec@5 81.250 (79.895)
Epoch: [61][13530/14090]	Time 0.780 (0.766)	Data 0.001 (0.001)	Loss 1.9702 (1.9310)	Prec@1 52.344 (50.076)	Prec@5 81.250 (79.896)
Epoch: [61][13540/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.0508 (1.9310)	Prec@1 46.094 (50.077)	Prec@5 79.688 (79.896)
Epoch: [61][13550/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.0044 (1.9311)	Prec@1 45.312 (50.075)	Prec@5 79.688 (79.896)
Epoch: [61][13560/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 1.9278 (1.9311)	Prec@1 52.344 (50.075)	Prec@5 79.688 (79.897)
Epoch: [61][13570/14090]	Time 0.769 (0.766)	Data 0.001 (0.001)	Loss 1.8689 (1.9311)	Prec@1 53.906 (50.074)	Prec@5 82.812 (79.896)
Epoch: [61][13580/14090]	Time 0.898 (0.766)	Data 0.001 (0.001)	Loss 1.9403 (1.9311)	Prec@1 50.781 (50.073)	Prec@5 82.031 (79.897)
Epoch: [61][13590/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 1.9678 (1.9311)	Prec@1 52.344 (50.073)	Prec@5 77.344 (79.896)
Epoch: [61][13600/14090]	Time 0.769 (0.766)	Data 0.001 (0.001)	Loss 2.1592 (1.9312)	Prec@1 46.094 (50.072)	Prec@5 75.000 (79.895)
Epoch: [61][13610/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 1.8355 (1.9312)	Prec@1 49.219 (50.070)	Prec@5 79.688 (79.895)
Epoch: [61][13620/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.0465 (1.9312)	Prec@1 52.344 (50.071)	Prec@5 78.125 (79.895)
Epoch: [61][13630/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.1058 (1.9312)	Prec@1 48.438 (50.073)	Prec@5 78.125 (79.895)
Epoch: [61][13640/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 1.8875 (1.9311)	Prec@1 53.906 (50.073)	Prec@5 80.469 (79.896)
Epoch: [61][13650/14090]	Time 0.836 (0.766)	Data 0.001 (0.001)	Loss 2.0617 (1.9311)	Prec@1 43.750 (50.073)	Prec@5 75.000 (79.896)
Epoch: [61][13660/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 1.8227 (1.9311)	Prec@1 50.000 (50.074)	Prec@5 84.375 (79.896)
Epoch: [61][13670/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 1.8319 (1.9310)	Prec@1 52.344 (50.074)	Prec@5 84.375 (79.897)
Epoch: [61][13680/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 1.8173 (1.9310)	Prec@1 50.000 (50.076)	Prec@5 83.594 (79.899)
Epoch: [61][13690/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 1.9547 (1.9309)	Prec@1 51.562 (50.078)	Prec@5 82.031 (79.901)
Epoch: [61][13700/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.2290 (1.9310)	Prec@1 44.531 (50.077)	Prec@5 70.312 (79.899)
Epoch: [61][13710/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.0365 (1.9309)	Prec@1 46.094 (50.077)	Prec@5 76.562 (79.900)
Epoch: [61][13720/14090]	Time 0.933 (0.766)	Data 0.001 (0.001)	Loss 1.8946 (1.9309)	Prec@1 54.688 (50.078)	Prec@5 78.906 (79.900)
Epoch: [61][13730/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 1.7913 (1.9309)	Prec@1 51.562 (50.077)	Prec@5 82.812 (79.901)
Epoch: [61][13740/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.0916 (1.9309)	Prec@1 48.438 (50.077)	Prec@5 76.562 (79.901)
Epoch: [61][13750/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.0328 (1.9309)	Prec@1 46.094 (50.076)	Prec@5 79.688 (79.901)
Epoch: [61][13760/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 1.7291 (1.9309)	Prec@1 53.125 (50.078)	Prec@5 82.812 (79.902)
Epoch: [61][13770/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.0386 (1.9309)	Prec@1 53.906 (50.079)	Prec@5 78.906 (79.902)
Epoch: [61][13780/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 1.9937 (1.9309)	Prec@1 49.219 (50.079)	Prec@5 79.688 (79.903)
Epoch: [61][13790/14090]	Time 0.918 (0.766)	Data 0.001 (0.001)	Loss 1.7376 (1.9308)	Prec@1 52.344 (50.079)	Prec@5 83.594 (79.903)
Epoch: [61][13800/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 1.6778 (1.9307)	Prec@1 58.594 (50.081)	Prec@5 84.375 (79.905)
Epoch: [61][13810/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 1.9505 (1.9307)	Prec@1 49.219 (50.081)	Prec@5 79.688 (79.905)
Epoch: [61][13820/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 2.0780 (1.9307)	Prec@1 50.000 (50.081)	Prec@5 77.344 (79.904)
Epoch: [61][13830/14090]	Time 0.786 (0.766)	Data 0.002 (0.001)	Loss 2.0275 (1.9307)	Prec@1 46.094 (50.081)	Prec@5 78.125 (79.904)
Epoch: [61][13840/14090]	Time 0.760 (0.766)	Data 0.003 (0.001)	Loss 1.8967 (1.9307)	Prec@1 49.219 (50.080)	Prec@5 82.031 (79.904)
Epoch: [61][13850/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 1.8323 (1.9308)	Prec@1 52.344 (50.079)	Prec@5 81.250 (79.903)
Epoch: [61][13860/14090]	Time 0.919 (0.766)	Data 0.001 (0.001)	Loss 2.0939 (1.9307)	Prec@1 47.656 (50.080)	Prec@5 78.906 (79.904)
Epoch: [61][13870/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 1.7607 (1.9307)	Prec@1 54.688 (50.080)	Prec@5 82.031 (79.905)
Epoch: [61][13880/14090]	Time 0.778 (0.766)	Data 0.001 (0.001)	Loss 1.8866 (1.9308)	Prec@1 52.344 (50.080)	Prec@5 78.125 (79.904)
Epoch: [61][13890/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.1519 (1.9308)	Prec@1 47.656 (50.080)	Prec@5 74.219 (79.902)
Epoch: [61][13900/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.0797 (1.9308)	Prec@1 49.219 (50.080)	Prec@5 79.688 (79.903)
Epoch: [61][13910/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 1.9949 (1.9308)	Prec@1 45.312 (50.080)	Prec@5 75.781 (79.903)
Epoch: [61][13920/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.1126 (1.9308)	Prec@1 46.875 (50.080)	Prec@5 78.125 (79.903)
Epoch: [61][13930/14090]	Time 0.886 (0.766)	Data 0.001 (0.001)	Loss 1.7590 (1.9309)	Prec@1 50.781 (50.079)	Prec@5 85.938 (79.902)
Epoch: [61][13940/14090]	Time 0.779 (0.766)	Data 0.001 (0.001)	Loss 2.1497 (1.9309)	Prec@1 46.875 (50.080)	Prec@5 82.031 (79.903)
Epoch: [61][13950/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 1.9210 (1.9309)	Prec@1 50.000 (50.080)	Prec@5 78.906 (79.901)
Epoch: [61][13960/14090]	Time 0.780 (0.766)	Data 0.001 (0.001)	Loss 1.8417 (1.9309)	Prec@1 50.000 (50.080)	Prec@5 81.250 (79.901)
Epoch: [61][13970/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 1.8234 (1.9309)	Prec@1 52.344 (50.079)	Prec@5 82.031 (79.901)
Epoch: [61][13980/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 1.7520 (1.9308)	Prec@1 57.812 (50.080)	Prec@5 81.250 (79.902)
Epoch: [61][13990/14090]	Time 0.771 (0.766)	Data 0.001 (0.001)	Loss 1.9792 (1.9308)	Prec@1 51.562 (50.082)	Prec@5 78.906 (79.903)
Epoch: [61][14000/14090]	Time 0.879 (0.766)	Data 0.001 (0.001)	Loss 1.7828 (1.9307)	Prec@1 50.781 (50.083)	Prec@5 89.062 (79.905)
Epoch: [61][14010/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 1.9021 (1.9307)	Prec@1 50.781 (50.083)	Prec@5 75.781 (79.905)
Epoch: [61][14020/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 1.7085 (1.9307)	Prec@1 59.375 (50.084)	Prec@5 84.375 (79.906)
Epoch: [61][14030/14090]	Time 0.770 (0.766)	Data 0.001 (0.001)	Loss 1.7973 (1.9306)	Prec@1 61.719 (50.086)	Prec@5 82.031 (79.906)
Epoch: [61][14040/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 1.8954 (1.9307)	Prec@1 53.906 (50.085)	Prec@5 79.688 (79.906)
Epoch: [61][14050/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.2190 (1.9307)	Prec@1 42.188 (50.083)	Prec@5 70.312 (79.905)
Epoch: [61][14060/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 1.6868 (1.9307)	Prec@1 55.469 (50.084)	Prec@5 85.156 (79.906)
Epoch: [61][14070/14090]	Time 0.888 (0.766)	Data 0.001 (0.001)	Loss 1.6490 (1.9307)	Prec@1 53.125 (50.084)	Prec@5 86.719 (79.906)
Epoch: [61][14080/14090]	Time 0.726 (0.766)	Data 0.000 (0.001)	Loss 1.8555 (1.9306)	Prec@1 54.688 (50.085)	Prec@5 79.688 (79.907)
Test: [0/286]	Time 4.976 (4.976)	Loss 1.3025 (1.3025)	Prec@1 57.812 (57.812)	Prec@5 94.531 (94.531)
Test: [10/286]	Time 0.269 (0.856)	Loss 1.7129 (1.7705)	Prec@1 52.344 (52.202)	Prec@5 89.062 (85.014)
Test: [20/286]	Time 0.229 (0.653)	Loss 1.3653 (1.7166)	Prec@1 62.500 (53.571)	Prec@5 92.188 (85.454)
Test: [30/286]	Time 0.229 (0.586)	Loss 1.8402 (1.6262)	Prec@1 56.250 (57.056)	Prec@5 84.375 (86.114)
Test: [40/286]	Time 1.797 (0.588)	Loss 1.5412 (1.6414)	Prec@1 55.469 (56.745)	Prec@5 89.062 (86.204)
Test: [50/286]	Time 0.236 (0.564)	Loss 0.4641 (1.6309)	Prec@1 91.406 (56.878)	Prec@5 95.312 (86.443)
Test: [60/286]	Time 0.239 (0.544)	Loss 2.5970 (1.6631)	Prec@1 37.500 (56.288)	Prec@5 69.531 (85.259)
Test: [70/286]	Time 0.325 (0.530)	Loss 1.0591 (1.6445)	Prec@1 76.562 (56.547)	Prec@5 92.969 (85.596)
Test: [80/286]	Time 1.956 (0.540)	Loss 1.8905 (1.6838)	Prec@1 43.750 (55.276)	Prec@5 83.594 (85.041)
Test: [90/286]	Time 0.234 (0.532)	Loss 1.9658 (1.6996)	Prec@1 48.438 (54.971)	Prec@5 86.719 (84.856)
Test: [100/286]	Time 0.229 (0.522)	Loss 2.1813 (1.7114)	Prec@1 31.250 (54.417)	Prec@5 83.594 (84.878)
Test: [110/286]	Time 0.266 (0.515)	Loss 2.3148 (1.7318)	Prec@1 42.969 (53.822)	Prec@5 72.656 (84.727)
Test: [120/286]	Time 2.096 (0.524)	Loss 1.4142 (1.7148)	Prec@1 64.062 (54.332)	Prec@5 82.812 (84.969)
Test: [130/286]	Time 0.256 (0.519)	Loss 0.8393 (1.7074)	Prec@1 75.000 (54.568)	Prec@5 95.312 (84.983)
Test: [140/286]	Time 0.260 (0.513)	Loss 2.1854 (1.7002)	Prec@1 51.562 (54.765)	Prec@5 73.438 (85.012)
Test: [150/286]	Time 0.287 (0.510)	Loss 2.6915 (1.7141)	Prec@1 28.906 (54.227)	Prec@5 72.656 (84.913)
Test: [160/286]	Time 1.978 (0.516)	Loss 2.5035 (1.7107)	Prec@1 28.125 (54.338)	Prec@5 75.781 (84.943)
Test: [170/286]	Time 0.341 (0.512)	Loss 1.9159 (1.7040)	Prec@1 49.219 (54.409)	Prec@5 83.594 (85.056)
Test: [180/286]	Time 0.230 (0.508)	Loss 1.6834 (1.7167)	Prec@1 63.281 (54.170)	Prec@5 81.250 (84.854)
Test: [190/286]	Time 0.341 (0.506)	Loss 2.9382 (1.7377)	Prec@1 14.844 (53.575)	Prec@5 70.312 (84.608)
Test: [200/286]	Time 1.862 (0.510)	Loss 1.6798 (1.7332)	Prec@1 66.406 (53.751)	Prec@5 89.844 (84.643)
Test: [210/286]	Time 0.308 (0.509)	Loss 1.9264 (1.7376)	Prec@1 43.750 (53.555)	Prec@5 82.031 (84.575)
Test: [220/286]	Time 0.292 (0.506)	Loss 2.8754 (1.7435)	Prec@1 24.219 (53.524)	Prec@5 67.188 (84.435)
Test: [230/286]	Time 0.227 (0.504)	Loss 1.2285 (1.7424)	Prec@1 67.969 (53.585)	Prec@5 87.500 (84.395)
Test: [240/286]	Time 0.757 (0.503)	Loss 1.8180 (1.7382)	Prec@1 52.344 (53.705)	Prec@5 84.375 (84.450)
Test: [250/286]	Time 0.768 (0.506)	Loss 1.6306 (1.7298)	Prec@1 49.219 (53.807)	Prec@5 87.500 (84.630)
Test: [260/286]	Time 0.475 (0.504)	Loss 1.5969 (1.7197)	Prec@1 57.812 (54.104)	Prec@5 87.500 (84.818)
Test: [270/286]	Time 0.243 (0.502)	Loss 1.1931 (1.7180)	Prec@1 66.406 (54.177)	Prec@5 92.969 (84.859)
Test: [280/286]	Time 0.229 (0.500)	Loss 1.6831 (1.7041)	Prec@1 57.031 (54.662)	Prec@5 88.281 (84.981)
 * Prec@1 54.740 Prec@5 84.974
Epoch: [62][0/14090]	Time 6.481 (6.481)	Data 5.700 (5.700)	Loss 2.0842 (2.0842)	Prec@1 46.094 (46.094)	Prec@5 78.125 (78.125)
Epoch: [62][10/14090]	Time 0.718 (1.263)	Data 0.001 (0.519)	Loss 2.0365 (1.9322)	Prec@1 49.219 (49.290)	Prec@5 79.688 (80.682)
Epoch: [62][20/14090]	Time 0.733 (1.024)	Data 0.001 (0.272)	Loss 2.0822 (1.9440)	Prec@1 44.531 (49.516)	Prec@5 78.906 (79.613)
Epoch: [62][30/14090]	Time 0.726 (0.934)	Data 0.001 (0.185)	Loss 2.1672 (1.9570)	Prec@1 42.969 (48.916)	Prec@5 79.688 (80.015)
Epoch: [62][40/14090]	Time 0.816 (0.891)	Data 0.001 (0.140)	Loss 1.9106 (1.9617)	Prec@1 49.219 (48.476)	Prec@5 80.469 (80.030)
Epoch: [62][50/14090]	Time 0.771 (0.864)	Data 0.001 (0.113)	Loss 1.7612 (1.9586)	Prec@1 52.344 (48.575)	Prec@5 82.812 (79.963)
Epoch: [62][60/14090]	Time 0.720 (0.846)	Data 0.001 (0.094)	Loss 1.7441 (1.9334)	Prec@1 50.781 (49.244)	Prec@5 83.594 (80.392)
Epoch: [62][70/14090]	Time 0.733 (0.835)	Data 0.001 (0.081)	Loss 1.7200 (1.9333)	Prec@1 55.469 (49.571)	Prec@5 85.156 (80.051)
Epoch: [62][80/14090]	Time 0.736 (0.825)	Data 0.001 (0.071)	Loss 2.0105 (1.9310)	Prec@1 50.000 (49.749)	Prec@5 78.125 (79.938)
Epoch: [62][90/14090]	Time 0.739 (0.820)	Data 0.001 (0.064)	Loss 1.8190 (1.9292)	Prec@1 50.781 (49.863)	Prec@5 80.469 (80.100)
Epoch: [62][100/14090]	Time 0.752 (0.815)	Data 0.001 (0.057)	Loss 1.7389 (1.9244)	Prec@1 54.688 (49.985)	Prec@5 82.812 (80.252)
Epoch: [62][110/14090]	Time 0.872 (0.810)	Data 0.001 (0.052)	Loss 1.7575 (1.9282)	Prec@1 53.125 (49.887)	Prec@5 84.375 (80.187)
Epoch: [62][120/14090]	Time 0.762 (0.805)	Data 0.001 (0.048)	Loss 1.9652 (1.9313)	Prec@1 44.531 (49.768)	Prec@5 81.250 (80.101)
Epoch: [62][130/14090]	Time 0.727 (0.802)	Data 0.001 (0.044)	Loss 1.7445 (1.9332)	Prec@1 53.125 (49.678)	Prec@5 86.719 (80.087)
Epoch: [62][140/14090]	Time 0.736 (0.800)	Data 0.001 (0.041)	Loss 1.8415 (1.9329)	Prec@1 52.344 (49.673)	Prec@5 80.469 (80.103)
Epoch: [62][150/14090]	Time 0.762 (0.797)	Data 0.001 (0.039)	Loss 1.9743 (1.9327)	Prec@1 50.781 (49.731)	Prec@5 78.125 (80.076)
Epoch: [62][160/14090]	Time 0.733 (0.795)	Data 0.002 (0.036)	Loss 2.0038 (1.9290)	Prec@1 43.750 (49.850)	Prec@5 80.469 (80.124)
Epoch: [62][170/14090]	Time 0.736 (0.793)	Data 0.001 (0.034)	Loss 1.8566 (1.9252)	Prec@1 51.562 (49.963)	Prec@5 82.812 (80.176)
Epoch: [62][180/14090]	Time 0.979 (0.793)	Data 0.001 (0.032)	Loss 1.8653 (1.9223)	Prec@1 50.781 (50.013)	Prec@5 82.812 (80.175)
Epoch: [62][190/14090]	Time 0.778 (0.791)	Data 0.001 (0.031)	Loss 2.0200 (1.9187)	Prec@1 49.219 (50.127)	Prec@5 77.344 (80.240)
Epoch: [62][200/14090]	Time 0.749 (0.789)	Data 0.001 (0.029)	Loss 2.0750 (1.9177)	Prec@1 38.281 (50.082)	Prec@5 79.688 (80.302)
Epoch: [62][210/14090]	Time 0.757 (0.789)	Data 0.001 (0.028)	Loss 2.0405 (1.9184)	Prec@1 46.875 (50.081)	Prec@5 79.688 (80.287)
Epoch: [62][220/14090]	Time 0.740 (0.787)	Data 0.001 (0.027)	Loss 2.0181 (1.9194)	Prec@1 50.781 (50.095)	Prec@5 78.125 (80.281)
Epoch: [62][230/14090]	Time 0.722 (0.787)	Data 0.001 (0.026)	Loss 1.9923 (1.9182)	Prec@1 50.781 (50.101)	Prec@5 78.125 (80.306)
Epoch: [62][240/14090]	Time 0.757 (0.786)	Data 0.001 (0.025)	Loss 1.8977 (1.9184)	Prec@1 52.344 (50.149)	Prec@5 79.688 (80.297)
Epoch: [62][250/14090]	Time 0.850 (0.785)	Data 0.001 (0.024)	Loss 1.6779 (1.9156)	Prec@1 53.125 (50.165)	Prec@5 84.375 (80.301)
Epoch: [62][260/14090]	Time 0.732 (0.784)	Data 0.001 (0.023)	Loss 1.9402 (1.9157)	Prec@1 53.906 (50.183)	Prec@5 78.125 (80.262)
Epoch: [62][270/14090]	Time 0.748 (0.783)	Data 0.001 (0.022)	Loss 1.7111 (1.9130)	Prec@1 54.688 (50.251)	Prec@5 82.812 (80.244)
Epoch: [62][280/14090]	Time 0.721 (0.782)	Data 0.001 (0.021)	Loss 2.1129 (1.9138)	Prec@1 47.656 (50.239)	Prec@5 75.000 (80.207)
Epoch: [62][290/14090]	Time 0.735 (0.781)	Data 0.001 (0.020)	Loss 1.9301 (1.9129)	Prec@1 57.031 (50.279)	Prec@5 81.250 (80.219)
Epoch: [62][300/14090]	Time 0.749 (0.782)	Data 0.001 (0.020)	Loss 1.8744 (1.9141)	Prec@1 46.094 (50.236)	Prec@5 82.812 (80.246)
Epoch: [62][310/14090]	Time 0.745 (0.781)	Data 0.001 (0.019)	Loss 1.8936 (1.9128)	Prec@1 47.656 (50.289)	Prec@5 78.906 (80.265)
Epoch: [62][320/14090]	Time 0.870 (0.781)	Data 0.001 (0.019)	Loss 1.6784 (1.9107)	Prec@1 54.688 (50.302)	Prec@5 84.375 (80.340)
Epoch: [62][330/14090]	Time 0.740 (0.780)	Data 0.001 (0.018)	Loss 1.8398 (1.9106)	Prec@1 51.562 (50.333)	Prec@5 81.250 (80.341)
Epoch: [62][340/14090]	Time 0.735 (0.780)	Data 0.001 (0.018)	Loss 2.0854 (1.9131)	Prec@1 45.312 (50.263)	Prec@5 79.688 (80.306)
Epoch: [62][350/14090]	Time 0.730 (0.780)	Data 0.001 (0.017)	Loss 1.9571 (1.9133)	Prec@1 50.781 (50.249)	Prec@5 76.562 (80.311)
Epoch: [62][360/14090]	Time 0.744 (0.780)	Data 0.001 (0.017)	Loss 1.8059 (1.9124)	Prec@1 52.344 (50.236)	Prec@5 80.469 (80.328)
Epoch: [62][370/14090]	Time 0.737 (0.780)	Data 0.001 (0.016)	Loss 2.1385 (1.9116)	Prec@1 50.000 (50.253)	Prec@5 75.781 (80.332)
Epoch: [62][380/14090]	Time 0.743 (0.779)	Data 0.001 (0.016)	Loss 2.0632 (1.9109)	Prec@1 45.312 (50.269)	Prec@5 76.562 (80.344)
Epoch: [62][390/14090]	Time 0.881 (0.779)	Data 0.001 (0.015)	Loss 2.0076 (1.9108)	Prec@1 50.000 (50.244)	Prec@5 78.125 (80.341)
Epoch: [62][400/14090]	Time 0.758 (0.779)	Data 0.001 (0.015)	Loss 1.7893 (1.9104)	Prec@1 53.906 (50.261)	Prec@5 80.469 (80.332)
Epoch: [62][410/14090]	Time 0.725 (0.778)	Data 0.001 (0.015)	Loss 2.2089 (1.9115)	Prec@1 44.531 (50.293)	Prec@5 78.125 (80.317)
Epoch: [62][420/14090]	Time 0.736 (0.778)	Data 0.001 (0.014)	Loss 1.9655 (1.9107)	Prec@1 51.562 (50.297)	Prec@5 80.469 (80.331)
Epoch: [62][430/14090]	Time 0.779 (0.778)	Data 0.001 (0.014)	Loss 1.8927 (1.9100)	Prec@1 49.219 (50.308)	Prec@5 80.469 (80.304)
Epoch: [62][440/14090]	Time 0.750 (0.778)	Data 0.001 (0.014)	Loss 1.8422 (1.9103)	Prec@1 50.000 (50.296)	Prec@5 80.469 (80.320)
Epoch: [62][450/14090]	Time 0.761 (0.777)	Data 0.001 (0.014)	Loss 1.7636 (1.9089)	Prec@1 57.031 (50.350)	Prec@5 82.812 (80.341)
Epoch: [62][460/14090]	Time 0.910 (0.777)	Data 0.001 (0.013)	Loss 1.7503 (1.9076)	Prec@1 53.906 (50.397)	Prec@5 85.938 (80.342)
Epoch: [62][470/14090]	Time 0.752 (0.777)	Data 0.001 (0.013)	Loss 2.0056 (1.9068)	Prec@1 48.438 (50.433)	Prec@5 83.594 (80.369)
Epoch: [62][480/14090]	Time 0.776 (0.777)	Data 0.001 (0.013)	Loss 1.7782 (1.9071)	Prec@1 51.562 (50.416)	Prec@5 82.812 (80.366)
Epoch: [62][490/14090]	Time 0.771 (0.777)	Data 0.001 (0.012)	Loss 1.9335 (1.9102)	Prec@1 55.469 (50.371)	Prec@5 76.562 (80.292)
Epoch: [62][500/14090]	Time 0.741 (0.776)	Data 0.001 (0.012)	Loss 1.9504 (1.9092)	Prec@1 41.406 (50.365)	Prec@5 78.125 (80.307)
Epoch: [62][510/14090]	Time 0.756 (0.776)	Data 0.001 (0.012)	Loss 1.8745 (1.9098)	Prec@1 52.344 (50.353)	Prec@5 80.469 (80.290)
Epoch: [62][520/14090]	Time 0.780 (0.776)	Data 0.001 (0.012)	Loss 2.1778 (1.9112)	Prec@1 42.969 (50.310)	Prec@5 78.125 (80.257)
Epoch: [62][530/14090]	Time 0.842 (0.776)	Data 0.001 (0.012)	Loss 1.8247 (1.9097)	Prec@1 57.812 (50.337)	Prec@5 81.250 (80.289)
Epoch: [62][540/14090]	Time 0.732 (0.775)	Data 0.001 (0.011)	Loss 2.0773 (1.9100)	Prec@1 47.656 (50.300)	Prec@5 78.125 (80.300)
Epoch: [62][550/14090]	Time 0.723 (0.775)	Data 0.001 (0.011)	Loss 1.7533 (1.9094)	Prec@1 56.250 (50.339)	Prec@5 84.375 (80.317)
Epoch: [62][560/14090]	Time 0.759 (0.775)	Data 0.001 (0.011)	Loss 2.1720 (1.9089)	Prec@1 46.875 (50.387)	Prec@5 74.219 (80.318)
Epoch: [62][570/14090]	Time 0.757 (0.775)	Data 0.001 (0.011)	Loss 1.9623 (1.9087)	Prec@1 51.562 (50.364)	Prec@5 76.562 (80.317)
Epoch: [62][580/14090]	Time 0.758 (0.774)	Data 0.001 (0.011)	Loss 1.7977 (1.9093)	Prec@1 50.781 (50.333)	Prec@5 78.906 (80.318)
Epoch: [62][590/14090]	Time 0.733 (0.774)	Data 0.001 (0.011)	Loss 1.9357 (1.9088)	Prec@1 44.531 (50.344)	Prec@5 79.688 (80.326)
Epoch: [62][600/14090]	Time 0.845 (0.774)	Data 0.001 (0.010)	Loss 2.1972 (1.9092)	Prec@1 45.312 (50.318)	Prec@5 76.562 (80.321)
Epoch: [62][610/14090]	Time 0.743 (0.774)	Data 0.001 (0.010)	Loss 1.9189 (1.9101)	Prec@1 50.781 (50.309)	Prec@5 80.469 (80.303)
Epoch: [62][620/14090]	Time 0.727 (0.773)	Data 0.001 (0.010)	Loss 1.7840 (1.9098)	Prec@1 57.031 (50.355)	Prec@5 81.250 (80.293)
Epoch: [62][630/14090]	Time 0.724 (0.773)	Data 0.001 (0.010)	Loss 2.1054 (1.9101)	Prec@1 42.188 (50.352)	Prec@5 78.125 (80.288)
Epoch: [62][640/14090]	Time 0.743 (0.773)	Data 0.002 (0.010)	Loss 1.8459 (1.9104)	Prec@1 47.656 (50.332)	Prec@5 79.688 (80.286)
Epoch: [62][650/14090]	Time 0.753 (0.773)	Data 0.001 (0.010)	Loss 1.9357 (1.9103)	Prec@1 46.875 (50.307)	Prec@5 82.031 (80.300)
Epoch: [62][660/14090]	Time 0.749 (0.773)	Data 0.001 (0.009)	Loss 1.9842 (1.9088)	Prec@1 43.750 (50.308)	Prec@5 78.906 (80.314)
Epoch: [62][670/14090]	Time 0.936 (0.773)	Data 0.001 (0.009)	Loss 1.8815 (1.9097)	Prec@1 53.906 (50.286)	Prec@5 78.906 (80.293)
Epoch: [62][680/14090]	Time 0.745 (0.772)	Data 0.001 (0.009)	Loss 1.7957 (1.9104)	Prec@1 50.781 (50.285)	Prec@5 84.375 (80.254)
Epoch: [62][690/14090]	Time 0.752 (0.772)	Data 0.001 (0.009)	Loss 2.1550 (1.9122)	Prec@1 43.750 (50.241)	Prec@5 72.656 (80.235)
Epoch: [62][700/14090]	Time 0.763 (0.772)	Data 0.001 (0.009)	Loss 1.9732 (1.9130)	Prec@1 48.438 (50.215)	Prec@5 80.469 (80.222)
Epoch: [62][710/14090]	Time 0.738 (0.772)	Data 0.001 (0.009)	Loss 1.8007 (1.9126)	Prec@1 50.000 (50.223)	Prec@5 82.812 (80.248)
Epoch: [62][720/14090]	Time 0.722 (0.772)	Data 0.001 (0.009)	Loss 2.0476 (1.9130)	Prec@1 48.438 (50.223)	Prec@5 77.344 (80.233)
Epoch: [62][730/14090]	Time 0.734 (0.772)	Data 0.001 (0.009)	Loss 1.9402 (1.9131)	Prec@1 47.656 (50.215)	Prec@5 79.688 (80.236)
Epoch: [62][740/14090]	Time 0.879 (0.772)	Data 0.001 (0.009)	Loss 1.8350 (1.9129)	Prec@1 55.469 (50.197)	Prec@5 80.469 (80.226)
Epoch: [62][750/14090]	Time 0.769 (0.772)	Data 0.001 (0.008)	Loss 2.2004 (1.9126)	Prec@1 45.312 (50.223)	Prec@5 76.562 (80.241)
Epoch: [62][760/14090]	Time 0.723 (0.771)	Data 0.001 (0.008)	Loss 2.0545 (1.9140)	Prec@1 52.344 (50.206)	Prec@5 77.344 (80.194)
Epoch: [62][770/14090]	Time 0.729 (0.771)	Data 0.001 (0.008)	Loss 1.5503 (1.9138)	Prec@1 59.375 (50.215)	Prec@5 85.156 (80.194)
Epoch: [62][780/14090]	Time 0.729 (0.771)	Data 0.001 (0.008)	Loss 1.9403 (1.9140)	Prec@1 49.219 (50.212)	Prec@5 81.250 (80.185)
Epoch: [62][790/14090]	Time 0.755 (0.771)	Data 0.001 (0.008)	Loss 2.2699 (1.9147)	Prec@1 44.531 (50.203)	Prec@5 71.094 (80.167)
Epoch: [62][800/14090]	Time 0.727 (0.771)	Data 0.001 (0.008)	Loss 1.9114 (1.9145)	Prec@1 52.344 (50.223)	Prec@5 78.125 (80.163)
Epoch: [62][810/14090]	Time 0.839 (0.771)	Data 0.001 (0.008)	Loss 2.1277 (1.9143)	Prec@1 48.438 (50.228)	Prec@5 77.344 (80.170)
Epoch: [62][820/14090]	Time 0.743 (0.771)	Data 0.001 (0.008)	Loss 1.8117 (1.9144)	Prec@1 50.000 (50.220)	Prec@5 82.812 (80.181)
Epoch: [62][830/14090]	Time 0.748 (0.770)	Data 0.001 (0.008)	Loss 1.6406 (1.9142)	Prec@1 54.688 (50.239)	Prec@5 84.375 (80.181)
Epoch: [62][840/14090]	Time 0.742 (0.770)	Data 0.001 (0.008)	Loss 2.0676 (1.9140)	Prec@1 47.656 (50.246)	Prec@5 76.562 (80.185)
Epoch: [62][850/14090]	Time 0.745 (0.770)	Data 0.001 (0.008)	Loss 1.7500 (1.9136)	Prec@1 57.031 (50.261)	Prec@5 82.812 (80.213)
Epoch: [62][860/14090]	Time 0.730 (0.770)	Data 0.001 (0.007)	Loss 1.9905 (1.9133)	Prec@1 49.219 (50.251)	Prec@5 74.219 (80.214)
Epoch: [62][870/14090]	Time 0.737 (0.770)	Data 0.001 (0.007)	Loss 1.8474 (1.9128)	Prec@1 49.219 (50.261)	Prec@5 84.375 (80.216)
Epoch: [62][880/14090]	Time 0.944 (0.770)	Data 0.001 (0.007)	Loss 2.0034 (1.9124)	Prec@1 50.781 (50.283)	Prec@5 78.125 (80.221)
Epoch: [62][890/14090]	Time 0.730 (0.770)	Data 0.001 (0.007)	Loss 1.8532 (1.9130)	Prec@1 52.344 (50.258)	Prec@5 82.812 (80.215)
Epoch: [62][900/14090]	Time 0.721 (0.770)	Data 0.001 (0.007)	Loss 1.6876 (1.9132)	Prec@1 55.469 (50.264)	Prec@5 82.812 (80.206)
Epoch: [62][910/14090]	Time 0.732 (0.770)	Data 0.001 (0.007)	Loss 1.6593 (1.9121)	Prec@1 55.469 (50.285)	Prec@5 82.812 (80.223)
Epoch: [62][920/14090]	Time 0.735 (0.770)	Data 0.001 (0.007)	Loss 1.9649 (1.9124)	Prec@1 48.438 (50.282)	Prec@5 79.688 (80.235)
Epoch: [62][930/14090]	Time 0.756 (0.770)	Data 0.001 (0.007)	Loss 1.7942 (1.9124)	Prec@1 50.781 (50.284)	Prec@5 82.812 (80.239)
Epoch: [62][940/14090]	Time 0.743 (0.770)	Data 0.001 (0.007)	Loss 1.8475 (1.9124)	Prec@1 49.219 (50.293)	Prec@5 82.031 (80.241)
Epoch: [62][950/14090]	Time 0.845 (0.770)	Data 0.001 (0.007)	Loss 1.6179 (1.9122)	Prec@1 64.062 (50.301)	Prec@5 82.031 (80.234)
Epoch: [62][960/14090]	Time 0.721 (0.770)	Data 0.001 (0.007)	Loss 2.0783 (1.9127)	Prec@1 44.531 (50.285)	Prec@5 76.562 (80.231)
Epoch: [62][970/14090]	Time 0.746 (0.769)	Data 0.001 (0.007)	Loss 1.8167 (1.9119)	Prec@1 54.688 (50.316)	Prec@5 84.375 (80.239)
Epoch: [62][980/14090]	Time 0.742 (0.769)	Data 0.001 (0.007)	Loss 2.0078 (1.9122)	Prec@1 50.000 (50.327)	Prec@5 82.031 (80.239)
Epoch: [62][990/14090]	Time 0.757 (0.769)	Data 0.001 (0.007)	Loss 2.0258 (1.9125)	Prec@1 49.219 (50.313)	Prec@5 77.344 (80.243)
Epoch: [62][1000/14090]	Time 0.750 (0.769)	Data 0.001 (0.007)	Loss 1.8179 (1.9126)	Prec@1 53.906 (50.295)	Prec@5 81.250 (80.239)
Epoch: [62][1010/14090]	Time 0.748 (0.769)	Data 0.001 (0.006)	Loss 2.0282 (1.9127)	Prec@1 47.656 (50.291)	Prec@5 81.250 (80.238)
Epoch: [62][1020/14090]	Time 0.820 (0.769)	Data 0.001 (0.006)	Loss 1.7624 (1.9125)	Prec@1 51.562 (50.297)	Prec@5 85.938 (80.262)
Epoch: [62][1030/14090]	Time 0.768 (0.769)	Data 0.001 (0.006)	Loss 1.8933 (1.9125)	Prec@1 50.000 (50.302)	Prec@5 78.125 (80.260)
Epoch: [62][1040/14090]	Time 0.785 (0.769)	Data 0.001 (0.006)	Loss 1.6819 (1.9131)	Prec@1 54.688 (50.281)	Prec@5 84.375 (80.250)
Epoch: [62][1050/14090]	Time 0.775 (0.769)	Data 0.001 (0.006)	Loss 2.2066 (1.9130)	Prec@1 45.312 (50.297)	Prec@5 77.344 (80.258)
Epoch: [62][1060/14090]	Time 0.720 (0.769)	Data 0.001 (0.006)	Loss 1.9884 (1.9133)	Prec@1 51.562 (50.282)	Prec@5 78.906 (80.252)
Epoch: [62][1070/14090]	Time 0.773 (0.769)	Data 0.001 (0.006)	Loss 1.9718 (1.9132)	Prec@1 53.125 (50.286)	Prec@5 79.688 (80.251)
Epoch: [62][1080/14090]	Time 0.736 (0.769)	Data 0.001 (0.006)	Loss 1.8927 (1.9131)	Prec@1 49.219 (50.301)	Prec@5 82.031 (80.253)
Epoch: [62][1090/14090]	Time 0.846 (0.769)	Data 0.001 (0.006)	Loss 1.9411 (1.9125)	Prec@1 50.000 (50.299)	Prec@5 78.906 (80.273)
Epoch: [62][1100/14090]	Time 0.741 (0.769)	Data 0.001 (0.006)	Loss 2.1064 (1.9125)	Prec@1 46.094 (50.315)	Prec@5 75.000 (80.268)
Epoch: [62][1110/14090]	Time 0.726 (0.769)	Data 0.001 (0.006)	Loss 1.8915 (1.9134)	Prec@1 48.438 (50.313)	Prec@5 78.125 (80.256)
Epoch: [62][1120/14090]	Time 0.752 (0.769)	Data 0.001 (0.006)	Loss 1.6618 (1.9133)	Prec@1 54.688 (50.325)	Prec@5 85.156 (80.255)
Epoch: [62][1130/14090]	Time 0.742 (0.769)	Data 0.001 (0.006)	Loss 1.9457 (1.9127)	Prec@1 49.219 (50.320)	Prec@5 78.125 (80.259)
Epoch: [62][1140/14090]	Time 0.759 (0.769)	Data 0.001 (0.006)	Loss 1.8345 (1.9126)	Prec@1 47.656 (50.314)	Prec@5 84.375 (80.254)
Epoch: [62][1150/14090]	Time 0.721 (0.769)	Data 0.001 (0.006)	Loss 1.9974 (1.9123)	Prec@1 43.750 (50.316)	Prec@5 79.688 (80.258)
Epoch: [62][1160/14090]	Time 0.891 (0.769)	Data 0.001 (0.006)	Loss 1.7752 (1.9120)	Prec@1 49.219 (50.321)	Prec@5 84.375 (80.266)
Epoch: [62][1170/14090]	Time 0.732 (0.768)	Data 0.001 (0.006)	Loss 2.0255 (1.9125)	Prec@1 47.656 (50.312)	Prec@5 75.781 (80.260)
Epoch: [62][1180/14090]	Time 0.730 (0.768)	Data 0.001 (0.006)	Loss 1.9057 (1.9129)	Prec@1 51.562 (50.312)	Prec@5 82.031 (80.260)
Epoch: [62][1190/14090]	Time 0.732 (0.768)	Data 0.001 (0.006)	Loss 1.8537 (1.9129)	Prec@1 52.344 (50.324)	Prec@5 82.031 (80.261)
Epoch: [62][1200/14090]	Time 0.738 (0.768)	Data 0.001 (0.006)	Loss 1.9338 (1.9126)	Prec@1 50.000 (50.334)	Prec@5 80.469 (80.268)
Epoch: [62][1210/14090]	Time 0.757 (0.768)	Data 0.001 (0.006)	Loss 2.1561 (1.9130)	Prec@1 50.781 (50.328)	Prec@5 82.031 (80.267)
Epoch: [62][1220/14090]	Time 0.756 (0.768)	Data 0.001 (0.006)	Loss 1.9749 (1.9138)	Prec@1 51.562 (50.314)	Prec@5 80.469 (80.246)
Epoch: [62][1230/14090]	Time 0.868 (0.768)	Data 0.001 (0.005)	Loss 1.8303 (1.9134)	Prec@1 46.875 (50.322)	Prec@5 82.031 (80.252)
Epoch: [62][1240/14090]	Time 0.748 (0.768)	Data 0.001 (0.005)	Loss 1.9505 (1.9133)	Prec@1 51.562 (50.336)	Prec@5 77.344 (80.252)
Epoch: [62][1250/14090]	Time 0.746 (0.768)	Data 0.001 (0.005)	Loss 1.9398 (1.9133)	Prec@1 49.219 (50.331)	Prec@5 75.000 (80.246)
Epoch: [62][1260/14090]	Time 0.763 (0.768)	Data 0.001 (0.005)	Loss 2.0078 (1.9126)	Prec@1 47.656 (50.335)	Prec@5 75.781 (80.259)
Epoch: [62][1270/14090]	Time 0.738 (0.768)	Data 0.001 (0.005)	Loss 1.8028 (1.9125)	Prec@1 48.438 (50.336)	Prec@5 82.031 (80.265)
Epoch: [62][1280/14090]	Time 0.738 (0.768)	Data 0.001 (0.005)	Loss 2.0801 (1.9127)	Prec@1 51.562 (50.325)	Prec@5 75.000 (80.260)
Epoch: [62][1290/14090]	Time 0.752 (0.768)	Data 0.001 (0.005)	Loss 1.9891 (1.9122)	Prec@1 50.781 (50.335)	Prec@5 78.125 (80.268)
Epoch: [62][1300/14090]	Time 0.889 (0.768)	Data 0.001 (0.005)	Loss 1.5738 (1.9121)	Prec@1 60.156 (50.344)	Prec@5 88.281 (80.273)
Epoch: [62][1310/14090]	Time 0.744 (0.768)	Data 0.001 (0.005)	Loss 1.9981 (1.9119)	Prec@1 48.438 (50.351)	Prec@5 78.125 (80.277)
Epoch: [62][1320/14090]	Time 0.721 (0.768)	Data 0.001 (0.005)	Loss 1.8356 (1.9117)	Prec@1 51.562 (50.347)	Prec@5 83.594 (80.278)
Epoch: [62][1330/14090]	Time 0.723 (0.768)	Data 0.001 (0.005)	Loss 1.9619 (1.9117)	Prec@1 46.875 (50.343)	Prec@5 78.125 (80.277)
Epoch: [62][1340/14090]	Time 0.764 (0.768)	Data 0.001 (0.005)	Loss 1.7970 (1.9116)	Prec@1 46.094 (50.347)	Prec@5 85.938 (80.279)
Epoch: [62][1350/14090]	Time 0.764 (0.768)	Data 0.001 (0.005)	Loss 1.8234 (1.9114)	Prec@1 56.250 (50.350)	Prec@5 80.469 (80.283)
Epoch: [62][1360/14090]	Time 0.748 (0.768)	Data 0.001 (0.005)	Loss 1.9511 (1.9114)	Prec@1 53.125 (50.351)	Prec@5 76.562 (80.278)
Epoch: [62][1370/14090]	Time 0.862 (0.768)	Data 0.001 (0.005)	Loss 1.8359 (1.9118)	Prec@1 56.250 (50.346)	Prec@5 80.469 (80.268)
Epoch: [62][1380/14090]	Time 0.741 (0.768)	Data 0.001 (0.005)	Loss 2.1978 (1.9123)	Prec@1 39.062 (50.331)	Prec@5 75.000 (80.262)
Epoch: [62][1390/14090]	Time 0.733 (0.768)	Data 0.001 (0.005)	Loss 2.2519 (1.9129)	Prec@1 42.969 (50.325)	Prec@5 74.219 (80.253)
Epoch: [62][1400/14090]	Time 0.776 (0.768)	Data 0.001 (0.005)	Loss 2.4519 (1.9133)	Prec@1 39.062 (50.319)	Prec@5 67.969 (80.235)
Epoch: [62][1410/14090]	Time 0.727 (0.768)	Data 0.001 (0.005)	Loss 1.7220 (1.9136)	Prec@1 52.344 (50.307)	Prec@5 83.594 (80.238)
Epoch: [62][1420/14090]	Time 0.745 (0.768)	Data 0.001 (0.005)	Loss 1.9589 (1.9137)	Prec@1 45.312 (50.291)	Prec@5 81.250 (80.239)
Epoch: [62][1430/14090]	Time 0.744 (0.768)	Data 0.001 (0.005)	Loss 1.8223 (1.9134)	Prec@1 55.469 (50.306)	Prec@5 81.250 (80.241)
Epoch: [62][1440/14090]	Time 0.906 (0.768)	Data 0.003 (0.005)	Loss 2.2166 (1.9135)	Prec@1 41.406 (50.311)	Prec@5 75.000 (80.239)
Epoch: [62][1450/14090]	Time 0.756 (0.768)	Data 0.001 (0.005)	Loss 1.9034 (1.9137)	Prec@1 46.094 (50.309)	Prec@5 76.562 (80.226)
Epoch: [62][1460/14090]	Time 0.747 (0.768)	Data 0.001 (0.005)	Loss 1.9405 (1.9140)	Prec@1 50.000 (50.301)	Prec@5 79.688 (80.222)
Epoch: [62][1470/14090]	Time 0.728 (0.768)	Data 0.001 (0.005)	Loss 1.7895 (1.9138)	Prec@1 48.438 (50.305)	Prec@5 79.688 (80.217)
Epoch: [62][1480/14090]	Time 0.780 (0.768)	Data 0.001 (0.005)	Loss 1.8715 (1.9140)	Prec@1 49.219 (50.301)	Prec@5 82.031 (80.211)
Epoch: [62][1490/14090]	Time 0.749 (0.768)	Data 0.001 (0.005)	Loss 1.7710 (1.9139)	Prec@1 51.562 (50.311)	Prec@5 83.594 (80.212)
Epoch: [62][1500/14090]	Time 0.731 (0.768)	Data 0.001 (0.005)	Loss 2.1445 (1.9143)	Prec@1 52.344 (50.311)	Prec@5 74.219 (80.205)
Epoch: [62][1510/14090]	Time 0.906 (0.768)	Data 0.001 (0.005)	Loss 2.1320 (1.9147)	Prec@1 48.438 (50.305)	Prec@5 75.781 (80.199)
Epoch: [62][1520/14090]	Time 0.753 (0.768)	Data 0.001 (0.005)	Loss 1.9703 (1.9149)	Prec@1 52.344 (50.304)	Prec@5 76.562 (80.196)
Epoch: [62][1530/14090]	Time 0.734 (0.768)	Data 0.001 (0.005)	Loss 2.1895 (1.9148)	Prec@1 46.094 (50.309)	Prec@5 75.781 (80.196)
Epoch: [62][1540/14090]	Time 0.757 (0.768)	Data 0.001 (0.005)	Loss 1.9516 (1.9156)	Prec@1 45.312 (50.293)	Prec@5 78.906 (80.175)
Epoch: [62][1550/14090]	Time 0.762 (0.768)	Data 0.001 (0.005)	Loss 1.7295 (1.9150)	Prec@1 56.250 (50.313)	Prec@5 81.250 (80.184)
Epoch: [62][1560/14090]	Time 0.763 (0.768)	Data 0.001 (0.005)	Loss 1.8252 (1.9151)	Prec@1 53.125 (50.303)	Prec@5 82.812 (80.188)
Epoch: [62][1570/14090]	Time 0.727 (0.768)	Data 0.001 (0.004)	Loss 1.8348 (1.9149)	Prec@1 50.000 (50.301)	Prec@5 82.031 (80.199)
Epoch: [62][1580/14090]	Time 0.855 (0.768)	Data 0.001 (0.004)	Loss 1.5040 (1.9149)	Prec@1 59.375 (50.303)	Prec@5 87.500 (80.200)
Epoch: [62][1590/14090]	Time 0.766 (0.768)	Data 0.001 (0.004)	Loss 2.1172 (1.9144)	Prec@1 43.750 (50.319)	Prec@5 79.688 (80.214)
Epoch: [62][1600/14090]	Time 0.769 (0.768)	Data 0.001 (0.004)	Loss 1.9287 (1.9145)	Prec@1 48.438 (50.309)	Prec@5 81.250 (80.217)
Epoch: [62][1610/14090]	Time 0.739 (0.768)	Data 0.001 (0.004)	Loss 2.2466 (1.9149)	Prec@1 44.531 (50.306)	Prec@5 77.344 (80.212)
Epoch: [62][1620/14090]	Time 0.753 (0.768)	Data 0.001 (0.004)	Loss 2.4052 (1.9150)	Prec@1 39.062 (50.290)	Prec@5 70.312 (80.219)
Epoch: [62][1630/14090]	Time 0.743 (0.768)	Data 0.001 (0.004)	Loss 1.8507 (1.9152)	Prec@1 56.250 (50.285)	Prec@5 84.375 (80.221)
Epoch: [62][1640/14090]	Time 0.735 (0.768)	Data 0.001 (0.004)	Loss 1.6618 (1.9152)	Prec@1 53.125 (50.290)	Prec@5 86.719 (80.220)
Epoch: [62][1650/14090]	Time 0.854 (0.768)	Data 0.001 (0.004)	Loss 1.6666 (1.9147)	Prec@1 59.375 (50.306)	Prec@5 82.812 (80.229)
Epoch: [62][1660/14090]	Time 0.755 (0.768)	Data 0.001 (0.004)	Loss 1.9056 (1.9146)	Prec@1 51.562 (50.317)	Prec@5 79.688 (80.232)
Epoch: [62][1670/14090]	Time 0.768 (0.768)	Data 0.001 (0.004)	Loss 2.0603 (1.9148)	Prec@1 48.438 (50.304)	Prec@5 78.906 (80.233)
Epoch: [62][1680/14090]	Time 0.747 (0.768)	Data 0.001 (0.004)	Loss 1.7613 (1.9148)	Prec@1 56.250 (50.302)	Prec@5 84.375 (80.235)
Epoch: [62][1690/14090]	Time 0.728 (0.768)	Data 0.001 (0.004)	Loss 1.9880 (1.9152)	Prec@1 53.125 (50.292)	Prec@5 78.906 (80.233)
Epoch: [62][1700/14090]	Time 0.753 (0.768)	Data 0.001 (0.004)	Loss 1.6996 (1.9152)	Prec@1 54.688 (50.292)	Prec@5 81.250 (80.235)
Epoch: [62][1710/14090]	Time 0.739 (0.768)	Data 0.001 (0.004)	Loss 1.7655 (1.9153)	Prec@1 52.344 (50.292)	Prec@5 84.375 (80.237)
Epoch: [62][1720/14090]	Time 0.881 (0.768)	Data 0.001 (0.004)	Loss 1.8810 (1.9154)	Prec@1 52.344 (50.286)	Prec@5 78.125 (80.231)
Epoch: [62][1730/14090]	Time 0.748 (0.768)	Data 0.001 (0.004)	Loss 1.6869 (1.9149)	Prec@1 60.156 (50.302)	Prec@5 86.719 (80.241)
Epoch: [62][1740/14090]	Time 0.723 (0.768)	Data 0.001 (0.004)	Loss 2.2607 (1.9149)	Prec@1 43.750 (50.302)	Prec@5 71.875 (80.243)
Epoch: [62][1750/14090]	Time 0.765 (0.768)	Data 0.001 (0.004)	Loss 2.1962 (1.9154)	Prec@1 45.312 (50.289)	Prec@5 71.875 (80.236)
Epoch: [62][1760/14090]	Time 0.738 (0.767)	Data 0.001 (0.004)	Loss 1.7088 (1.9157)	Prec@1 54.688 (50.278)	Prec@5 80.469 (80.229)
Epoch: [62][1770/14090]	Time 0.757 (0.767)	Data 0.001 (0.004)	Loss 1.9613 (1.9156)	Prec@1 48.438 (50.285)	Prec@5 79.688 (80.233)
Epoch: [62][1780/14090]	Time 0.777 (0.767)	Data 0.001 (0.004)	Loss 1.8122 (1.9155)	Prec@1 53.125 (50.283)	Prec@5 79.688 (80.233)
Epoch: [62][1790/14090]	Time 0.865 (0.767)	Data 0.001 (0.004)	Loss 1.9516 (1.9154)	Prec@1 50.000 (50.294)	Prec@5 79.688 (80.242)
Epoch: [62][1800/14090]	Time 0.726 (0.767)	Data 0.001 (0.004)	Loss 1.7465 (1.9148)	Prec@1 53.125 (50.302)	Prec@5 82.812 (80.260)
Epoch: [62][1810/14090]	Time 0.775 (0.767)	Data 0.001 (0.004)	Loss 1.7604 (1.9144)	Prec@1 53.906 (50.311)	Prec@5 84.375 (80.263)
Epoch: [62][1820/14090]	Time 0.751 (0.767)	Data 0.001 (0.004)	Loss 2.0015 (1.9150)	Prec@1 52.344 (50.302)	Prec@5 78.906 (80.258)
Epoch: [62][1830/14090]	Time 0.722 (0.767)	Data 0.001 (0.004)	Loss 1.9091 (1.9147)	Prec@1 49.219 (50.312)	Prec@5 77.344 (80.265)
Epoch: [62][1840/14090]	Time 0.733 (0.767)	Data 0.001 (0.004)	Loss 1.6887 (1.9146)	Prec@1 56.250 (50.318)	Prec@5 82.812 (80.257)
Epoch: [62][1850/14090]	Time 0.730 (0.767)	Data 0.001 (0.004)	Loss 1.7372 (1.9145)	Prec@1 50.000 (50.316)	Prec@5 86.719 (80.259)
Epoch: [62][1860/14090]	Time 0.852 (0.767)	Data 0.001 (0.004)	Loss 1.9649 (1.9142)	Prec@1 49.219 (50.322)	Prec@5 77.344 (80.267)
Epoch: [62][1870/14090]	Time 0.750 (0.767)	Data 0.001 (0.004)	Loss 1.8777 (1.9140)	Prec@1 53.125 (50.325)	Prec@5 78.125 (80.277)
Epoch: [62][1880/14090]	Time 0.753 (0.767)	Data 0.001 (0.004)	Loss 1.9261 (1.9139)	Prec@1 51.562 (50.330)	Prec@5 80.469 (80.281)
Epoch: [62][1890/14090]	Time 0.754 (0.767)	Data 0.001 (0.004)	Loss 2.0400 (1.9136)	Prec@1 47.656 (50.336)	Prec@5 79.688 (80.280)
Epoch: [62][1900/14090]	Time 0.738 (0.767)	Data 0.001 (0.004)	Loss 1.7033 (1.9139)	Prec@1 54.688 (50.332)	Prec@5 84.375 (80.277)
Epoch: [62][1910/14090]	Time 0.776 (0.767)	Data 0.000 (0.004)	Loss 1.9602 (1.9139)	Prec@1 46.875 (50.338)	Prec@5 83.594 (80.280)
Epoch: [62][1920/14090]	Time 0.746 (0.767)	Data 0.001 (0.004)	Loss 1.9247 (1.9138)	Prec@1 52.344 (50.328)	Prec@5 80.469 (80.285)
Epoch: [62][1930/14090]	Time 0.857 (0.767)	Data 0.001 (0.004)	Loss 1.9475 (1.9142)	Prec@1 45.312 (50.320)	Prec@5 76.562 (80.277)
Epoch: [62][1940/14090]	Time 0.748 (0.767)	Data 0.001 (0.004)	Loss 1.9795 (1.9145)	Prec@1 44.531 (50.320)	Prec@5 78.906 (80.271)
Epoch: [62][1950/14090]	Time 0.756 (0.767)	Data 0.001 (0.004)	Loss 1.9713 (1.9147)	Prec@1 49.219 (50.319)	Prec@5 80.469 (80.267)
Epoch: [62][1960/14090]	Time 0.723 (0.767)	Data 0.001 (0.004)	Loss 2.2593 (1.9149)	Prec@1 45.312 (50.317)	Prec@5 71.094 (80.258)
Epoch: [62][1970/14090]	Time 0.728 (0.767)	Data 0.001 (0.004)	Loss 2.1892 (1.9149)	Prec@1 44.531 (50.317)	Prec@5 78.125 (80.263)
Epoch: [62][1980/14090]	Time 0.758 (0.767)	Data 0.001 (0.004)	Loss 2.0869 (1.9155)	Prec@1 44.531 (50.308)	Prec@5 78.906 (80.253)
Epoch: [62][1990/14090]	Time 0.729 (0.767)	Data 0.001 (0.004)	Loss 2.0873 (1.9156)	Prec@1 46.875 (50.300)	Prec@5 75.000 (80.254)
Epoch: [62][2000/14090]	Time 0.909 (0.767)	Data 0.001 (0.004)	Loss 1.7435 (1.9154)	Prec@1 52.344 (50.305)	Prec@5 85.938 (80.258)
Epoch: [62][2010/14090]	Time 0.728 (0.767)	Data 0.001 (0.004)	Loss 1.8702 (1.9153)	Prec@1 46.094 (50.301)	Prec@5 82.031 (80.266)
Epoch: [62][2020/14090]	Time 0.746 (0.767)	Data 0.001 (0.004)	Loss 1.8786 (1.9157)	Prec@1 53.125 (50.285)	Prec@5 78.906 (80.255)
Epoch: [62][2030/14090]	Time 0.744 (0.767)	Data 0.001 (0.004)	Loss 2.0474 (1.9158)	Prec@1 52.344 (50.286)	Prec@5 82.031 (80.258)
Epoch: [62][2040/14090]	Time 0.741 (0.767)	Data 0.001 (0.004)	Loss 2.0359 (1.9158)	Prec@1 52.344 (50.286)	Prec@5 77.344 (80.259)
Epoch: [62][2050/14090]	Time 0.757 (0.767)	Data 0.001 (0.004)	Loss 1.8100 (1.9156)	Prec@1 50.781 (50.295)	Prec@5 82.031 (80.260)
Epoch: [62][2060/14090]	Time 0.734 (0.767)	Data 0.001 (0.004)	Loss 1.8852 (1.9153)	Prec@1 51.562 (50.305)	Prec@5 78.906 (80.263)
Epoch: [62][2070/14090]	Time 0.849 (0.767)	Data 0.001 (0.004)	Loss 2.1286 (1.9157)	Prec@1 41.406 (50.296)	Prec@5 74.219 (80.255)
Epoch: [62][2080/14090]	Time 0.741 (0.767)	Data 0.001 (0.004)	Loss 1.8903 (1.9156)	Prec@1 45.312 (50.300)	Prec@5 79.688 (80.258)
Epoch: [62][2090/14090]	Time 0.723 (0.767)	Data 0.001 (0.004)	Loss 1.9004 (1.9156)	Prec@1 52.344 (50.306)	Prec@5 80.469 (80.261)
Epoch: [62][2100/14090]	Time 0.732 (0.767)	Data 0.001 (0.004)	Loss 1.8559 (1.9159)	Prec@1 50.781 (50.302)	Prec@5 82.031 (80.255)
Epoch: [62][2110/14090]	Time 0.745 (0.767)	Data 0.001 (0.004)	Loss 1.8773 (1.9159)	Prec@1 50.000 (50.303)	Prec@5 82.812 (80.255)
Epoch: [62][2120/14090]	Time 0.744 (0.767)	Data 0.003 (0.004)	Loss 2.1938 (1.9159)	Prec@1 41.406 (50.299)	Prec@5 70.312 (80.253)
Epoch: [62][2130/14090]	Time 0.750 (0.767)	Data 0.001 (0.004)	Loss 2.3348 (1.9162)	Prec@1 37.500 (50.291)	Prec@5 78.125 (80.248)
Epoch: [62][2140/14090]	Time 0.824 (0.767)	Data 0.001 (0.004)	Loss 1.7411 (1.9164)	Prec@1 49.219 (50.279)	Prec@5 82.812 (80.243)
Epoch: [62][2150/14090]	Time 0.746 (0.767)	Data 0.001 (0.004)	Loss 1.7176 (1.9163)	Prec@1 53.906 (50.282)	Prec@5 83.594 (80.241)
Epoch: [62][2160/14090]	Time 0.731 (0.767)	Data 0.001 (0.003)	Loss 1.8660 (1.9165)	Prec@1 55.469 (50.278)	Prec@5 82.031 (80.241)
Epoch: [62][2170/14090]	Time 0.767 (0.767)	Data 0.001 (0.003)	Loss 1.7767 (1.9161)	Prec@1 50.781 (50.290)	Prec@5 81.250 (80.242)
Epoch: [62][2180/14090]	Time 0.754 (0.767)	Data 0.001 (0.003)	Loss 2.1454 (1.9163)	Prec@1 47.656 (50.284)	Prec@5 75.000 (80.232)
Epoch: [62][2190/14090]	Time 0.731 (0.767)	Data 0.001 (0.003)	Loss 2.0643 (1.9158)	Prec@1 47.656 (50.293)	Prec@5 75.781 (80.241)
Epoch: [62][2200/14090]	Time 0.729 (0.767)	Data 0.001 (0.003)	Loss 2.2242 (1.9160)	Prec@1 46.875 (50.291)	Prec@5 76.562 (80.241)
Epoch: [62][2210/14090]	Time 0.864 (0.767)	Data 0.001 (0.003)	Loss 1.6956 (1.9154)	Prec@1 60.938 (50.310)	Prec@5 85.938 (80.246)
Epoch: [62][2220/14090]	Time 0.726 (0.767)	Data 0.001 (0.003)	Loss 2.0289 (1.9152)	Prec@1 48.438 (50.315)	Prec@5 80.469 (80.251)
Epoch: [62][2230/14090]	Time 0.760 (0.767)	Data 0.001 (0.003)	Loss 1.6625 (1.9149)	Prec@1 50.000 (50.325)	Prec@5 85.938 (80.256)
Epoch: [62][2240/14090]	Time 0.732 (0.767)	Data 0.001 (0.003)	Loss 2.0742 (1.9152)	Prec@1 46.094 (50.316)	Prec@5 78.906 (80.256)
Epoch: [62][2250/14090]	Time 0.741 (0.767)	Data 0.001 (0.003)	Loss 2.2060 (1.9155)	Prec@1 46.094 (50.311)	Prec@5 75.781 (80.250)
Epoch: [62][2260/14090]	Time 0.758 (0.767)	Data 0.001 (0.003)	Loss 1.8915 (1.9158)	Prec@1 53.906 (50.296)	Prec@5 78.906 (80.244)
Epoch: [62][2270/14090]	Time 0.761 (0.767)	Data 0.001 (0.003)	Loss 1.8391 (1.9154)	Prec@1 51.562 (50.304)	Prec@5 80.469 (80.253)
Epoch: [62][2280/14090]	Time 0.858 (0.767)	Data 0.001 (0.003)	Loss 2.0746 (1.9156)	Prec@1 48.438 (50.303)	Prec@5 82.031 (80.250)
Epoch: [62][2290/14090]	Time 0.733 (0.767)	Data 0.001 (0.003)	Loss 2.0656 (1.9155)	Prec@1 46.875 (50.302)	Prec@5 79.688 (80.256)
Epoch: [62][2300/14090]	Time 0.754 (0.767)	Data 0.001 (0.003)	Loss 1.8214 (1.9154)	Prec@1 53.906 (50.303)	Prec@5 78.906 (80.257)
Epoch: [62][2310/14090]	Time 0.749 (0.767)	Data 0.001 (0.003)	Loss 1.8572 (1.9155)	Prec@1 46.875 (50.299)	Prec@5 82.031 (80.257)
Epoch: [62][2320/14090]	Time 0.738 (0.767)	Data 0.001 (0.003)	Loss 1.7965 (1.9158)	Prec@1 50.000 (50.292)	Prec@5 87.500 (80.255)
Epoch: [62][2330/14090]	Time 0.760 (0.767)	Data 0.001 (0.003)	Loss 1.9490 (1.9156)	Prec@1 50.781 (50.296)	Prec@5 78.125 (80.258)
Epoch: [62][2340/14090]	Time 0.751 (0.767)	Data 0.001 (0.003)	Loss 2.0105 (1.9157)	Prec@1 52.344 (50.300)	Prec@5 81.250 (80.256)
Epoch: [62][2350/14090]	Time 0.887 (0.767)	Data 0.002 (0.003)	Loss 1.8617 (1.9158)	Prec@1 47.656 (50.298)	Prec@5 83.594 (80.251)
Epoch: [62][2360/14090]	Time 0.775 (0.767)	Data 0.001 (0.003)	Loss 1.7441 (1.9156)	Prec@1 50.781 (50.301)	Prec@5 84.375 (80.254)
Epoch: [62][2370/14090]	Time 0.750 (0.766)	Data 0.001 (0.003)	Loss 2.1841 (1.9156)	Prec@1 46.094 (50.294)	Prec@5 74.219 (80.254)
Epoch: [62][2380/14090]	Time 0.746 (0.767)	Data 0.001 (0.003)	Loss 1.8842 (1.9152)	Prec@1 52.344 (50.300)	Prec@5 78.125 (80.257)
Epoch: [62][2390/14090]	Time 0.780 (0.767)	Data 0.001 (0.003)	Loss 2.0018 (1.9153)	Prec@1 46.094 (50.296)	Prec@5 72.656 (80.252)
Epoch: [62][2400/14090]	Time 0.730 (0.767)	Data 0.001 (0.003)	Loss 1.8398 (1.9147)	Prec@1 44.531 (50.307)	Prec@5 83.594 (80.262)
Epoch: [62][2410/14090]	Time 0.748 (0.767)	Data 0.001 (0.003)	Loss 1.9330 (1.9145)	Prec@1 46.094 (50.313)	Prec@5 82.031 (80.266)
Epoch: [62][2420/14090]	Time 0.873 (0.767)	Data 0.001 (0.003)	Loss 1.8234 (1.9147)	Prec@1 53.906 (50.311)	Prec@5 81.250 (80.265)
Epoch: [62][2430/14090]	Time 0.736 (0.766)	Data 0.001 (0.003)	Loss 1.9147 (1.9150)	Prec@1 52.344 (50.309)	Prec@5 82.812 (80.256)
Epoch: [62][2440/14090]	Time 0.770 (0.766)	Data 0.001 (0.003)	Loss 1.8034 (1.9147)	Prec@1 51.562 (50.313)	Prec@5 84.375 (80.259)
Epoch: [62][2450/14090]	Time 0.731 (0.766)	Data 0.001 (0.003)	Loss 1.8857 (1.9145)	Prec@1 49.219 (50.313)	Prec@5 80.469 (80.263)
Epoch: [62][2460/14090]	Time 0.787 (0.766)	Data 0.001 (0.003)	Loss 1.9125 (1.9144)	Prec@1 52.344 (50.318)	Prec@5 77.344 (80.265)
Epoch: [62][2470/14090]	Time 0.734 (0.766)	Data 0.001 (0.003)	Loss 1.7891 (1.9144)	Prec@1 48.438 (50.318)	Prec@5 84.375 (80.261)
Epoch: [62][2480/14090]	Time 0.759 (0.766)	Data 0.001 (0.003)	Loss 2.3099 (1.9147)	Prec@1 44.531 (50.321)	Prec@5 65.625 (80.248)
Epoch: [62][2490/14090]	Time 0.891 (0.766)	Data 0.001 (0.003)	Loss 1.9644 (1.9147)	Prec@1 46.094 (50.322)	Prec@5 80.469 (80.246)
Epoch: [62][2500/14090]	Time 0.762 (0.766)	Data 0.001 (0.003)	Loss 1.8968 (1.9144)	Prec@1 55.469 (50.330)	Prec@5 78.125 (80.250)
Epoch: [62][2510/14090]	Time 0.760 (0.766)	Data 0.001 (0.003)	Loss 1.7423 (1.9144)	Prec@1 57.812 (50.339)	Prec@5 82.812 (80.247)
Epoch: [62][2520/14090]	Time 0.730 (0.766)	Data 0.001 (0.003)	Loss 1.7051 (1.9145)	Prec@1 51.562 (50.337)	Prec@5 82.812 (80.241)
Epoch: [62][2530/14090]	Time 0.749 (0.766)	Data 0.001 (0.003)	Loss 1.8472 (1.9145)	Prec@1 48.438 (50.332)	Prec@5 79.688 (80.237)
Epoch: [62][2540/14090]	Time 0.730 (0.766)	Data 0.001 (0.003)	Loss 1.7322 (1.9145)	Prec@1 47.656 (50.331)	Prec@5 85.938 (80.238)
Epoch: [62][2550/14090]	Time 0.756 (0.766)	Data 0.001 (0.003)	Loss 1.8142 (1.9141)	Prec@1 53.906 (50.336)	Prec@5 78.906 (80.244)
Epoch: [62][2560/14090]	Time 0.898 (0.766)	Data 0.001 (0.003)	Loss 2.0586 (1.9145)	Prec@1 49.219 (50.329)	Prec@5 77.344 (80.238)
Epoch: [62][2570/14090]	Time 0.726 (0.766)	Data 0.001 (0.003)	Loss 1.9821 (1.9144)	Prec@1 42.969 (50.322)	Prec@5 82.031 (80.244)
Epoch: [62][2580/14090]	Time 0.742 (0.766)	Data 0.001 (0.003)	Loss 1.9648 (1.9143)	Prec@1 53.125 (50.325)	Prec@5 80.469 (80.245)
Epoch: [62][2590/14090]	Time 0.735 (0.766)	Data 0.001 (0.003)	Loss 1.8600 (1.9142)	Prec@1 56.250 (50.331)	Prec@5 77.344 (80.244)
Epoch: [62][2600/14090]	Time 0.724 (0.766)	Data 0.001 (0.003)	Loss 1.7726 (1.9140)	Prec@1 57.031 (50.343)	Prec@5 82.812 (80.245)
Epoch: [62][2610/14090]	Time 0.726 (0.766)	Data 0.001 (0.003)	Loss 1.7344 (1.9136)	Prec@1 58.594 (50.350)	Prec@5 85.156 (80.254)
Epoch: [62][2620/14090]	Time 0.751 (0.766)	Data 0.001 (0.003)	Loss 1.6844 (1.9132)	Prec@1 52.344 (50.358)	Prec@5 86.719 (80.260)
Epoch: [62][2630/14090]	Time 0.861 (0.766)	Data 0.002 (0.003)	Loss 1.9081 (1.9132)	Prec@1 48.438 (50.356)	Prec@5 77.344 (80.260)
Epoch: [62][2640/14090]	Time 0.757 (0.766)	Data 0.001 (0.003)	Loss 2.1775 (1.9131)	Prec@1 43.750 (50.356)	Prec@5 76.562 (80.258)
Epoch: [62][2650/14090]	Time 0.741 (0.766)	Data 0.001 (0.003)	Loss 2.0729 (1.9131)	Prec@1 44.531 (50.350)	Prec@5 78.125 (80.259)
Epoch: [62][2660/14090]	Time 0.741 (0.766)	Data 0.001 (0.003)	Loss 1.9631 (1.9130)	Prec@1 50.000 (50.354)	Prec@5 78.906 (80.261)
Epoch: [62][2670/14090]	Time 0.724 (0.766)	Data 0.001 (0.003)	Loss 1.6997 (1.9130)	Prec@1 53.125 (50.348)	Prec@5 85.156 (80.265)
Epoch: [62][2680/14090]	Time 0.765 (0.766)	Data 0.001 (0.003)	Loss 1.9721 (1.9131)	Prec@1 48.438 (50.341)	Prec@5 78.125 (80.261)
Epoch: [62][2690/14090]	Time 0.737 (0.766)	Data 0.001 (0.003)	Loss 1.9202 (1.9132)	Prec@1 46.875 (50.335)	Prec@5 81.250 (80.263)
Epoch: [62][2700/14090]	Time 0.864 (0.766)	Data 0.001 (0.003)	Loss 1.9166 (1.9128)	Prec@1 49.219 (50.342)	Prec@5 79.688 (80.271)
Epoch: [62][2710/14090]	Time 0.740 (0.766)	Data 0.001 (0.003)	Loss 2.0127 (1.9129)	Prec@1 47.656 (50.344)	Prec@5 78.125 (80.268)
Epoch: [62][2720/14090]	Time 0.743 (0.766)	Data 0.001 (0.003)	Loss 1.8558 (1.9129)	Prec@1 52.344 (50.346)	Prec@5 81.250 (80.268)
Epoch: [62][2730/14090]	Time 0.755 (0.766)	Data 0.001 (0.003)	Loss 2.1832 (1.9130)	Prec@1 43.750 (50.347)	Prec@5 75.781 (80.264)
Epoch: [62][2740/14090]	Time 0.736 (0.766)	Data 0.001 (0.003)	Loss 1.6103 (1.9127)	Prec@1 56.250 (50.357)	Prec@5 83.594 (80.265)
Epoch: [62][2750/14090]	Time 0.755 (0.766)	Data 0.001 (0.003)	Loss 2.0432 (1.9126)	Prec@1 48.438 (50.360)	Prec@5 75.781 (80.265)
Epoch: [62][2760/14090]	Time 0.763 (0.766)	Data 0.001 (0.003)	Loss 1.8951 (1.9126)	Prec@1 51.562 (50.356)	Prec@5 79.688 (80.269)
Epoch: [62][2770/14090]	Time 0.846 (0.766)	Data 0.001 (0.003)	Loss 1.9995 (1.9124)	Prec@1 50.000 (50.362)	Prec@5 77.344 (80.272)
Epoch: [62][2780/14090]	Time 0.731 (0.766)	Data 0.001 (0.003)	Loss 1.8738 (1.9124)	Prec@1 52.344 (50.367)	Prec@5 79.688 (80.272)
Epoch: [62][2790/14090]	Time 0.751 (0.766)	Data 0.001 (0.003)	Loss 2.1021 (1.9128)	Prec@1 51.562 (50.360)	Prec@5 73.438 (80.264)
Epoch: [62][2800/14090]	Time 0.784 (0.766)	Data 0.001 (0.003)	Loss 2.0002 (1.9126)	Prec@1 46.875 (50.363)	Prec@5 76.562 (80.264)
Epoch: [62][2810/14090]	Time 0.735 (0.766)	Data 0.001 (0.003)	Loss 2.2572 (1.9128)	Prec@1 45.312 (50.356)	Prec@5 71.875 (80.256)
Epoch: [62][2820/14090]	Time 0.748 (0.766)	Data 0.001 (0.003)	Loss 2.3060 (1.9133)	Prec@1 39.062 (50.346)	Prec@5 68.750 (80.242)
Epoch: [62][2830/14090]	Time 0.724 (0.766)	Data 0.003 (0.003)	Loss 1.7861 (1.9130)	Prec@1 51.562 (50.353)	Prec@5 81.250 (80.244)
Epoch: [62][2840/14090]	Time 0.889 (0.766)	Data 0.001 (0.003)	Loss 1.9116 (1.9128)	Prec@1 51.562 (50.358)	Prec@5 80.469 (80.247)
Epoch: [62][2850/14090]	Time 0.732 (0.766)	Data 0.001 (0.003)	Loss 2.0580 (1.9129)	Prec@1 42.188 (50.356)	Prec@5 78.125 (80.243)
Epoch: [62][2860/14090]	Time 0.741 (0.766)	Data 0.001 (0.003)	Loss 2.0779 (1.9131)	Prec@1 46.094 (50.358)	Prec@5 75.000 (80.240)
Epoch: [62][2870/14090]	Time 0.730 (0.766)	Data 0.001 (0.003)	Loss 1.9294 (1.9129)	Prec@1 52.344 (50.367)	Prec@5 79.688 (80.240)
Epoch: [62][2880/14090]	Time 0.719 (0.766)	Data 0.001 (0.003)	Loss 1.7768 (1.9129)	Prec@1 50.781 (50.360)	Prec@5 82.031 (80.240)
Epoch: [62][2890/14090]	Time 0.758 (0.766)	Data 0.001 (0.003)	Loss 1.8936 (1.9127)	Prec@1 50.000 (50.361)	Prec@5 78.906 (80.244)
Epoch: [62][2900/14090]	Time 0.725 (0.766)	Data 0.002 (0.003)	Loss 2.1321 (1.9128)	Prec@1 43.750 (50.358)	Prec@5 75.000 (80.243)
Epoch: [62][2910/14090]	Time 0.909 (0.766)	Data 0.001 (0.003)	Loss 2.1805 (1.9130)	Prec@1 40.625 (50.351)	Prec@5 71.875 (80.237)
Epoch: [62][2920/14090]	Time 0.725 (0.766)	Data 0.001 (0.003)	Loss 1.6891 (1.9127)	Prec@1 56.250 (50.360)	Prec@5 87.500 (80.246)
Epoch: [62][2930/14090]	Time 0.752 (0.766)	Data 0.001 (0.003)	Loss 1.9215 (1.9125)	Prec@1 47.656 (50.365)	Prec@5 81.250 (80.249)
Epoch: [62][2940/14090]	Time 0.745 (0.766)	Data 0.001 (0.003)	Loss 1.7861 (1.9125)	Prec@1 50.000 (50.362)	Prec@5 82.031 (80.251)
Epoch: [62][2950/14090]	Time 0.751 (0.766)	Data 0.001 (0.003)	Loss 1.7617 (1.9125)	Prec@1 55.469 (50.368)	Prec@5 83.594 (80.250)
Epoch: [62][2960/14090]	Time 0.758 (0.766)	Data 0.001 (0.003)	Loss 1.8384 (1.9125)	Prec@1 57.031 (50.369)	Prec@5 79.688 (80.248)
Epoch: [62][2970/14090]	Time 0.740 (0.766)	Data 0.001 (0.003)	Loss 1.6194 (1.9123)	Prec@1 57.031 (50.377)	Prec@5 88.281 (80.256)
Epoch: [62][2980/14090]	Time 0.879 (0.766)	Data 0.001 (0.003)	Loss 2.0663 (1.9124)	Prec@1 48.438 (50.374)	Prec@5 79.688 (80.254)
Epoch: [62][2990/14090]	Time 0.759 (0.766)	Data 0.001 (0.003)	Loss 2.2021 (1.9127)	Prec@1 42.969 (50.371)	Prec@5 75.000 (80.248)
Epoch: [62][3000/14090]	Time 0.751 (0.766)	Data 0.001 (0.003)	Loss 2.1494 (1.9128)	Prec@1 46.875 (50.368)	Prec@5 81.250 (80.246)
Epoch: [62][3010/14090]	Time 0.776 (0.766)	Data 0.001 (0.003)	Loss 1.7775 (1.9126)	Prec@1 52.344 (50.371)	Prec@5 82.031 (80.248)
Epoch: [62][3020/14090]	Time 0.746 (0.766)	Data 0.001 (0.003)	Loss 2.0720 (1.9128)	Prec@1 46.094 (50.371)	Prec@5 78.906 (80.249)
Epoch: [62][3030/14090]	Time 0.765 (0.766)	Data 0.001 (0.003)	Loss 1.6892 (1.9126)	Prec@1 56.250 (50.376)	Prec@5 83.594 (80.251)
Epoch: [62][3040/14090]	Time 0.742 (0.766)	Data 0.001 (0.003)	Loss 1.7245 (1.9124)	Prec@1 51.562 (50.382)	Prec@5 84.375 (80.253)
Epoch: [62][3050/14090]	Time 0.870 (0.766)	Data 0.001 (0.003)	Loss 1.7821 (1.9124)	Prec@1 55.469 (50.384)	Prec@5 81.250 (80.252)
Epoch: [62][3060/14090]	Time 0.725 (0.766)	Data 0.001 (0.003)	Loss 1.8097 (1.9123)	Prec@1 53.125 (50.388)	Prec@5 82.812 (80.252)
Epoch: [62][3070/14090]	Time 0.759 (0.766)	Data 0.001 (0.003)	Loss 1.7789 (1.9124)	Prec@1 51.562 (50.389)	Prec@5 83.594 (80.253)
Epoch: [62][3080/14090]	Time 0.776 (0.766)	Data 0.001 (0.003)	Loss 2.0668 (1.9125)	Prec@1 50.000 (50.389)	Prec@5 78.125 (80.253)
Epoch: [62][3090/14090]	Time 0.727 (0.766)	Data 0.001 (0.003)	Loss 1.8533 (1.9124)	Prec@1 54.688 (50.391)	Prec@5 82.812 (80.257)
Epoch: [62][3100/14090]	Time 0.744 (0.766)	Data 0.001 (0.003)	Loss 2.1657 (1.9122)	Prec@1 47.656 (50.400)	Prec@5 77.344 (80.258)
Epoch: [62][3110/14090]	Time 0.754 (0.766)	Data 0.001 (0.003)	Loss 1.7202 (1.9120)	Prec@1 55.469 (50.405)	Prec@5 81.250 (80.262)
Epoch: [62][3120/14090]	Time 0.837 (0.766)	Data 0.001 (0.003)	Loss 1.5943 (1.9117)	Prec@1 56.250 (50.407)	Prec@5 86.719 (80.265)
Epoch: [62][3130/14090]	Time 0.732 (0.766)	Data 0.001 (0.003)	Loss 1.7991 (1.9119)	Prec@1 52.344 (50.406)	Prec@5 79.688 (80.257)
Epoch: [62][3140/14090]	Time 0.760 (0.766)	Data 0.001 (0.003)	Loss 1.7344 (1.9120)	Prec@1 53.906 (50.403)	Prec@5 85.156 (80.253)
Epoch: [62][3150/14090]	Time 0.743 (0.766)	Data 0.001 (0.003)	Loss 1.7203 (1.9121)	Prec@1 53.125 (50.397)	Prec@5 85.156 (80.248)
Epoch: [62][3160/14090]	Time 0.757 (0.766)	Data 0.001 (0.003)	Loss 2.0250 (1.9125)	Prec@1 51.562 (50.391)	Prec@5 80.469 (80.240)
Epoch: [62][3170/14090]	Time 0.722 (0.766)	Data 0.001 (0.003)	Loss 2.0567 (1.9124)	Prec@1 48.438 (50.391)	Prec@5 73.438 (80.243)
Epoch: [62][3180/14090]	Time 0.783 (0.766)	Data 0.001 (0.003)	Loss 1.8777 (1.9127)	Prec@1 52.344 (50.386)	Prec@5 79.688 (80.235)
Epoch: [62][3190/14090]	Time 0.841 (0.766)	Data 0.001 (0.003)	Loss 1.7822 (1.9125)	Prec@1 55.469 (50.394)	Prec@5 82.031 (80.239)
Epoch: [62][3200/14090]	Time 0.749 (0.766)	Data 0.001 (0.003)	Loss 1.8513 (1.9126)	Prec@1 55.469 (50.391)	Prec@5 81.250 (80.236)
Epoch: [62][3210/14090]	Time 0.758 (0.766)	Data 0.001 (0.003)	Loss 1.9298 (1.9129)	Prec@1 50.781 (50.387)	Prec@5 84.375 (80.228)
Epoch: [62][3220/14090]	Time 0.733 (0.766)	Data 0.001 (0.003)	Loss 1.9282 (1.9130)	Prec@1 51.562 (50.387)	Prec@5 82.812 (80.228)
Epoch: [62][3230/14090]	Time 0.743 (0.766)	Data 0.001 (0.003)	Loss 1.8968 (1.9133)	Prec@1 54.688 (50.381)	Prec@5 84.375 (80.222)
Epoch: [62][3240/14090]	Time 0.726 (0.766)	Data 0.001 (0.003)	Loss 1.8348 (1.9132)	Prec@1 50.781 (50.387)	Prec@5 81.250 (80.223)
Epoch: [62][3250/14090]	Time 0.748 (0.766)	Data 0.001 (0.003)	Loss 2.0068 (1.9128)	Prec@1 49.219 (50.393)	Prec@5 79.688 (80.231)
Epoch: [62][3260/14090]	Time 0.884 (0.766)	Data 0.001 (0.003)	Loss 1.6084 (1.9128)	Prec@1 57.812 (50.392)	Prec@5 85.156 (80.234)
Epoch: [62][3270/14090]	Time 0.741 (0.766)	Data 0.001 (0.003)	Loss 1.7116 (1.9129)	Prec@1 53.125 (50.391)	Prec@5 82.812 (80.228)
Epoch: [62][3280/14090]	Time 0.734 (0.766)	Data 0.001 (0.003)	Loss 2.1167 (1.9128)	Prec@1 46.875 (50.391)	Prec@5 80.469 (80.231)
Epoch: [62][3290/14090]	Time 0.733 (0.766)	Data 0.001 (0.003)	Loss 1.6730 (1.9127)	Prec@1 58.594 (50.393)	Prec@5 83.594 (80.232)
Epoch: [62][3300/14090]	Time 0.755 (0.766)	Data 0.001 (0.003)	Loss 2.0033 (1.9127)	Prec@1 46.875 (50.393)	Prec@5 78.906 (80.233)
Epoch: [62][3310/14090]	Time 0.761 (0.766)	Data 0.001 (0.003)	Loss 1.8501 (1.9127)	Prec@1 54.688 (50.399)	Prec@5 82.812 (80.232)
Epoch: [62][3320/14090]	Time 0.782 (0.766)	Data 0.001 (0.003)	Loss 2.0343 (1.9129)	Prec@1 50.781 (50.394)	Prec@5 76.562 (80.225)
Epoch: [62][3330/14090]	Time 0.873 (0.766)	Data 0.001 (0.003)	Loss 1.9638 (1.9128)	Prec@1 50.000 (50.401)	Prec@5 80.469 (80.228)
Epoch: [62][3340/14090]	Time 0.726 (0.766)	Data 0.001 (0.003)	Loss 1.8076 (1.9128)	Prec@1 55.469 (50.401)	Prec@5 80.469 (80.224)
Epoch: [62][3350/14090]	Time 0.750 (0.766)	Data 0.001 (0.003)	Loss 2.0260 (1.9129)	Prec@1 48.438 (50.392)	Prec@5 81.250 (80.222)
Epoch: [62][3360/14090]	Time 0.754 (0.766)	Data 0.001 (0.003)	Loss 1.7171 (1.9132)	Prec@1 57.031 (50.391)	Prec@5 82.031 (80.213)
Epoch: [62][3370/14090]	Time 0.737 (0.766)	Data 0.001 (0.003)	Loss 1.8536 (1.9134)	Prec@1 51.562 (50.388)	Prec@5 82.031 (80.209)
Epoch: [62][3380/14090]	Time 0.734 (0.766)	Data 0.001 (0.003)	Loss 1.9731 (1.9134)	Prec@1 46.094 (50.390)	Prec@5 80.469 (80.211)
Epoch: [62][3390/14090]	Time 0.739 (0.766)	Data 0.001 (0.003)	Loss 1.9790 (1.9132)	Prec@1 46.094 (50.394)	Prec@5 79.688 (80.218)
Epoch: [62][3400/14090]	Time 0.860 (0.766)	Data 0.001 (0.003)	Loss 1.8567 (1.9133)	Prec@1 47.656 (50.388)	Prec@5 80.469 (80.215)
Epoch: [62][3410/14090]	Time 0.737 (0.766)	Data 0.001 (0.003)	Loss 1.8314 (1.9133)	Prec@1 53.906 (50.390)	Prec@5 82.031 (80.220)
Epoch: [62][3420/14090]	Time 0.723 (0.766)	Data 0.001 (0.003)	Loss 2.0653 (1.9135)	Prec@1 46.094 (50.387)	Prec@5 80.469 (80.218)
Epoch: [62][3430/14090]	Time 0.772 (0.766)	Data 0.001 (0.003)	Loss 1.7192 (1.9133)	Prec@1 48.438 (50.391)	Prec@5 82.031 (80.224)
Epoch: [62][3440/14090]	Time 0.764 (0.766)	Data 0.003 (0.003)	Loss 1.8422 (1.9133)	Prec@1 54.688 (50.397)	Prec@5 80.469 (80.224)
Epoch: [62][3450/14090]	Time 0.732 (0.766)	Data 0.001 (0.003)	Loss 2.1337 (1.9130)	Prec@1 38.281 (50.402)	Prec@5 74.219 (80.229)
Epoch: [62][3460/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 1.9994 (1.9129)	Prec@1 47.656 (50.403)	Prec@5 82.031 (80.232)
Epoch: [62][3470/14090]	Time 0.881 (0.766)	Data 0.001 (0.002)	Loss 1.8706 (1.9128)	Prec@1 52.344 (50.405)	Prec@5 80.469 (80.233)
Epoch: [62][3480/14090]	Time 0.768 (0.766)	Data 0.001 (0.002)	Loss 1.9840 (1.9130)	Prec@1 51.562 (50.398)	Prec@5 78.906 (80.231)
Epoch: [62][3490/14090]	Time 0.726 (0.766)	Data 0.001 (0.002)	Loss 1.8542 (1.9131)	Prec@1 50.000 (50.401)	Prec@5 83.594 (80.229)
Epoch: [62][3500/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 1.8778 (1.9129)	Prec@1 57.812 (50.407)	Prec@5 82.031 (80.230)
Epoch: [62][3510/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 2.2266 (1.9131)	Prec@1 45.312 (50.402)	Prec@5 71.094 (80.227)
Epoch: [62][3520/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.3350 (1.9132)	Prec@1 45.312 (50.402)	Prec@5 71.094 (80.223)
Epoch: [62][3530/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.0546 (1.9132)	Prec@1 44.531 (50.397)	Prec@5 78.906 (80.222)
Epoch: [62][3540/14090]	Time 0.879 (0.766)	Data 0.001 (0.002)	Loss 2.0387 (1.9134)	Prec@1 49.219 (50.395)	Prec@5 79.688 (80.217)
Epoch: [62][3550/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 1.8402 (1.9134)	Prec@1 48.438 (50.396)	Prec@5 85.156 (80.216)
Epoch: [62][3560/14090]	Time 0.763 (0.766)	Data 0.001 (0.002)	Loss 1.8386 (1.9133)	Prec@1 50.781 (50.399)	Prec@5 77.344 (80.219)
Epoch: [62][3570/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 2.0822 (1.9133)	Prec@1 44.531 (50.400)	Prec@5 78.125 (80.219)
Epoch: [62][3580/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.1879 (1.9134)	Prec@1 49.219 (50.398)	Prec@5 72.656 (80.217)
Epoch: [62][3590/14090]	Time 0.756 (0.766)	Data 0.002 (0.002)	Loss 1.9813 (1.9135)	Prec@1 50.781 (50.396)	Prec@5 76.562 (80.214)
Epoch: [62][3600/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.0352 (1.9134)	Prec@1 47.656 (50.397)	Prec@5 80.469 (80.217)
Epoch: [62][3610/14090]	Time 0.848 (0.766)	Data 0.001 (0.002)	Loss 1.8504 (1.9136)	Prec@1 51.562 (50.396)	Prec@5 81.250 (80.213)
Epoch: [62][3620/14090]	Time 0.768 (0.766)	Data 0.001 (0.002)	Loss 1.9724 (1.9137)	Prec@1 47.656 (50.389)	Prec@5 81.250 (80.211)
Epoch: [62][3630/14090]	Time 0.770 (0.766)	Data 0.001 (0.002)	Loss 1.9198 (1.9138)	Prec@1 51.562 (50.383)	Prec@5 79.688 (80.212)
Epoch: [62][3640/14090]	Time 0.769 (0.766)	Data 0.002 (0.002)	Loss 2.1980 (1.9138)	Prec@1 39.844 (50.382)	Prec@5 78.906 (80.211)
Epoch: [62][3650/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 1.8516 (1.9141)	Prec@1 48.438 (50.373)	Prec@5 82.812 (80.207)
Epoch: [62][3660/14090]	Time 0.725 (0.766)	Data 0.002 (0.002)	Loss 1.7519 (1.9139)	Prec@1 53.906 (50.375)	Prec@5 85.938 (80.209)
Epoch: [62][3670/14090]	Time 0.761 (0.766)	Data 0.001 (0.002)	Loss 2.0807 (1.9140)	Prec@1 50.000 (50.379)	Prec@5 75.781 (80.205)
Epoch: [62][3680/14090]	Time 0.897 (0.766)	Data 0.001 (0.002)	Loss 1.9728 (1.9140)	Prec@1 49.219 (50.374)	Prec@5 79.688 (80.205)
Epoch: [62][3690/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 1.8368 (1.9142)	Prec@1 54.688 (50.371)	Prec@5 82.031 (80.200)
Epoch: [62][3700/14090]	Time 0.775 (0.766)	Data 0.001 (0.002)	Loss 1.9885 (1.9142)	Prec@1 49.219 (50.373)	Prec@5 77.344 (80.199)
Epoch: [62][3710/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 1.9792 (1.9140)	Prec@1 50.000 (50.371)	Prec@5 79.688 (80.199)
Epoch: [62][3720/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 1.7377 (1.9139)	Prec@1 53.906 (50.368)	Prec@5 82.812 (80.199)
Epoch: [62][3730/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 2.2004 (1.9141)	Prec@1 48.438 (50.367)	Prec@5 78.906 (80.197)
Epoch: [62][3740/14090]	Time 0.761 (0.766)	Data 0.001 (0.002)	Loss 1.6489 (1.9141)	Prec@1 56.250 (50.368)	Prec@5 85.156 (80.197)
Epoch: [62][3750/14090]	Time 0.896 (0.766)	Data 0.001 (0.002)	Loss 1.9865 (1.9141)	Prec@1 52.344 (50.367)	Prec@5 80.469 (80.197)
Epoch: [62][3760/14090]	Time 0.791 (0.766)	Data 0.001 (0.002)	Loss 1.8193 (1.9142)	Prec@1 57.031 (50.367)	Prec@5 81.250 (80.195)
Epoch: [62][3770/14090]	Time 0.721 (0.766)	Data 0.001 (0.002)	Loss 1.8893 (1.9140)	Prec@1 46.094 (50.370)	Prec@5 79.688 (80.198)
Epoch: [62][3780/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 1.8073 (1.9140)	Prec@1 50.000 (50.369)	Prec@5 83.594 (80.200)
Epoch: [62][3790/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 1.8798 (1.9141)	Prec@1 51.562 (50.367)	Prec@5 85.156 (80.198)
Epoch: [62][3800/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 2.1628 (1.9141)	Prec@1 42.969 (50.369)	Prec@5 78.125 (80.199)
Epoch: [62][3810/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.1047 (1.9140)	Prec@1 41.406 (50.369)	Prec@5 75.000 (80.201)
Epoch: [62][3820/14090]	Time 0.877 (0.766)	Data 0.001 (0.002)	Loss 1.8499 (1.9139)	Prec@1 46.094 (50.372)	Prec@5 84.375 (80.203)
Epoch: [62][3830/14090]	Time 0.783 (0.766)	Data 0.001 (0.002)	Loss 1.5786 (1.9138)	Prec@1 59.375 (50.372)	Prec@5 85.156 (80.203)
Epoch: [62][3840/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 1.9357 (1.9137)	Prec@1 53.125 (50.374)	Prec@5 79.688 (80.207)
Epoch: [62][3850/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 1.7720 (1.9137)	Prec@1 56.250 (50.373)	Prec@5 83.594 (80.208)
Epoch: [62][3860/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 1.7913 (1.9135)	Prec@1 57.812 (50.380)	Prec@5 79.688 (80.212)
Epoch: [62][3870/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 1.5529 (1.9135)	Prec@1 60.156 (50.383)	Prec@5 85.938 (80.213)
Epoch: [62][3880/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 1.7925 (1.9134)	Prec@1 54.688 (50.388)	Prec@5 83.594 (80.215)
Epoch: [62][3890/14090]	Time 0.842 (0.766)	Data 0.001 (0.002)	Loss 1.6527 (1.9133)	Prec@1 54.688 (50.388)	Prec@5 85.938 (80.218)
Epoch: [62][3900/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 1.8278 (1.9132)	Prec@1 55.469 (50.388)	Prec@5 81.250 (80.218)
Epoch: [62][3910/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 1.8694 (1.9133)	Prec@1 49.219 (50.389)	Prec@5 80.469 (80.218)
Epoch: [62][3920/14090]	Time 0.775 (0.766)	Data 0.001 (0.002)	Loss 1.8625 (1.9134)	Prec@1 56.250 (50.390)	Prec@5 80.469 (80.215)
Epoch: [62][3930/14090]	Time 0.719 (0.766)	Data 0.001 (0.002)	Loss 1.8852 (1.9134)	Prec@1 50.000 (50.392)	Prec@5 78.125 (80.212)
Epoch: [62][3940/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 1.8753 (1.9135)	Prec@1 55.469 (50.392)	Prec@5 80.469 (80.214)
Epoch: [62][3950/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 1.8371 (1.9135)	Prec@1 54.688 (50.392)	Prec@5 83.594 (80.215)
Epoch: [62][3960/14090]	Time 0.891 (0.766)	Data 0.001 (0.002)	Loss 1.7399 (1.9136)	Prec@1 55.469 (50.388)	Prec@5 81.250 (80.212)
Epoch: [62][3970/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 2.1865 (1.9138)	Prec@1 45.312 (50.386)	Prec@5 78.125 (80.211)
Epoch: [62][3980/14090]	Time 0.723 (0.766)	Data 0.001 (0.002)	Loss 1.6483 (1.9138)	Prec@1 56.250 (50.383)	Prec@5 83.594 (80.210)
Epoch: [62][3990/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 1.9602 (1.9138)	Prec@1 50.000 (50.385)	Prec@5 82.031 (80.209)
Epoch: [62][4000/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 1.8140 (1.9139)	Prec@1 50.781 (50.379)	Prec@5 80.469 (80.207)
Epoch: [62][4010/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 1.8984 (1.9140)	Prec@1 52.344 (50.377)	Prec@5 85.156 (80.204)
Epoch: [62][4020/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 1.7802 (1.9138)	Prec@1 53.906 (50.385)	Prec@5 83.594 (80.205)
Epoch: [62][4030/14090]	Time 0.851 (0.766)	Data 0.001 (0.002)	Loss 1.8796 (1.9137)	Prec@1 46.094 (50.385)	Prec@5 82.031 (80.208)
Epoch: [62][4040/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 2.3001 (1.9137)	Prec@1 42.188 (50.391)	Prec@5 71.094 (80.207)
Epoch: [62][4050/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 1.9630 (1.9136)	Prec@1 49.219 (50.396)	Prec@5 77.344 (80.204)
Epoch: [62][4060/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 1.8320 (1.9136)	Prec@1 49.219 (50.398)	Prec@5 83.594 (80.204)
Epoch: [62][4070/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 1.8309 (1.9136)	Prec@1 52.344 (50.400)	Prec@5 79.688 (80.206)
Epoch: [62][4080/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 1.8104 (1.9135)	Prec@1 54.688 (50.403)	Prec@5 83.594 (80.206)
Epoch: [62][4090/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 1.8263 (1.9134)	Prec@1 55.469 (50.408)	Prec@5 85.938 (80.206)
Epoch: [62][4100/14090]	Time 0.856 (0.766)	Data 0.001 (0.002)	Loss 1.7585 (1.9133)	Prec@1 54.688 (50.407)	Prec@5 81.250 (80.211)
Epoch: [62][4110/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.1504 (1.9135)	Prec@1 49.219 (50.406)	Prec@5 71.875 (80.206)
Epoch: [62][4120/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 1.7849 (1.9133)	Prec@1 49.219 (50.406)	Prec@5 82.812 (80.211)
Epoch: [62][4130/14090]	Time 0.765 (0.766)	Data 0.001 (0.002)	Loss 1.8776 (1.9133)	Prec@1 52.344 (50.407)	Prec@5 82.812 (80.209)
Epoch: [62][4140/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 1.8124 (1.9133)	Prec@1 52.344 (50.406)	Prec@5 78.125 (80.206)
Epoch: [62][4150/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 1.8568 (1.9134)	Prec@1 52.344 (50.407)	Prec@5 88.281 (80.206)
Epoch: [62][4160/14090]	Time 0.767 (0.766)	Data 0.001 (0.002)	Loss 1.8220 (1.9137)	Prec@1 53.125 (50.402)	Prec@5 82.031 (80.203)
Epoch: [62][4170/14090]	Time 0.874 (0.766)	Data 0.002 (0.002)	Loss 1.9101 (1.9136)	Prec@1 51.562 (50.404)	Prec@5 78.906 (80.207)
Epoch: [62][4180/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 1.8758 (1.9136)	Prec@1 50.781 (50.401)	Prec@5 79.688 (80.207)
Epoch: [62][4190/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 1.9880 (1.9137)	Prec@1 52.344 (50.399)	Prec@5 76.562 (80.208)
Epoch: [62][4200/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 1.7507 (1.9137)	Prec@1 55.469 (50.399)	Prec@5 79.688 (80.207)
Epoch: [62][4210/14090]	Time 0.761 (0.766)	Data 0.001 (0.002)	Loss 1.8507 (1.9135)	Prec@1 53.125 (50.401)	Prec@5 80.469 (80.210)
Epoch: [62][4220/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 1.5851 (1.9134)	Prec@1 59.375 (50.406)	Prec@5 83.594 (80.208)
Epoch: [62][4230/14090]	Time 0.727 (0.766)	Data 0.001 (0.002)	Loss 1.8181 (1.9133)	Prec@1 53.906 (50.407)	Prec@5 82.812 (80.211)
Epoch: [62][4240/14090]	Time 0.858 (0.766)	Data 0.001 (0.002)	Loss 1.8950 (1.9134)	Prec@1 49.219 (50.405)	Prec@5 82.031 (80.209)
Epoch: [62][4250/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 1.7120 (1.9135)	Prec@1 53.125 (50.403)	Prec@5 85.156 (80.206)
Epoch: [62][4260/14090]	Time 0.720 (0.766)	Data 0.001 (0.002)	Loss 1.8697 (1.9137)	Prec@1 47.656 (50.399)	Prec@5 82.031 (80.204)
Epoch: [62][4270/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 1.6995 (1.9136)	Prec@1 57.031 (50.399)	Prec@5 83.594 (80.206)
Epoch: [62][4280/14090]	Time 0.771 (0.766)	Data 0.001 (0.002)	Loss 1.7450 (1.9135)	Prec@1 48.438 (50.399)	Prec@5 85.156 (80.207)
Epoch: [62][4290/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 1.9317 (1.9138)	Prec@1 49.219 (50.394)	Prec@5 85.938 (80.202)
Epoch: [62][4300/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 1.9211 (1.9137)	Prec@1 53.906 (50.396)	Prec@5 79.688 (80.203)
Epoch: [62][4310/14090]	Time 0.853 (0.766)	Data 0.001 (0.002)	Loss 1.5831 (1.9138)	Prec@1 59.375 (50.397)	Prec@5 85.156 (80.203)
Epoch: [62][4320/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 1.9309 (1.9138)	Prec@1 47.656 (50.396)	Prec@5 83.594 (80.203)
Epoch: [62][4330/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.0846 (1.9137)	Prec@1 45.312 (50.399)	Prec@5 78.906 (80.207)
Epoch: [62][4340/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 1.9129 (1.9137)	Prec@1 45.312 (50.398)	Prec@5 83.594 (80.204)
Epoch: [62][4350/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 1.6803 (1.9139)	Prec@1 57.031 (50.394)	Prec@5 88.281 (80.202)
Epoch: [62][4360/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 1.8945 (1.9139)	Prec@1 53.125 (50.396)	Prec@5 79.688 (80.202)
Epoch: [62][4370/14090]	Time 0.761 (0.766)	Data 0.001 (0.002)	Loss 1.9866 (1.9138)	Prec@1 45.312 (50.398)	Prec@5 84.375 (80.206)
Epoch: [62][4380/14090]	Time 0.856 (0.766)	Data 0.001 (0.002)	Loss 1.8502 (1.9138)	Prec@1 56.250 (50.397)	Prec@5 83.594 (80.206)
Epoch: [62][4390/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.0015 (1.9138)	Prec@1 44.531 (50.393)	Prec@5 77.344 (80.206)
Epoch: [62][4400/14090]	Time 0.727 (0.766)	Data 0.001 (0.002)	Loss 1.8170 (1.9138)	Prec@1 56.250 (50.393)	Prec@5 79.688 (80.205)
Epoch: [62][4410/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 1.9047 (1.9139)	Prec@1 47.656 (50.389)	Prec@5 81.250 (80.204)
Epoch: [62][4420/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 1.7198 (1.9140)	Prec@1 56.250 (50.388)	Prec@5 80.469 (80.202)
Epoch: [62][4430/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 1.9195 (1.9140)	Prec@1 46.875 (50.387)	Prec@5 81.250 (80.203)
Epoch: [62][4440/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 1.8161 (1.9138)	Prec@1 47.656 (50.391)	Prec@5 82.031 (80.206)
Epoch: [62][4450/14090]	Time 0.870 (0.766)	Data 0.001 (0.002)	Loss 1.7666 (1.9139)	Prec@1 50.000 (50.385)	Prec@5 83.594 (80.205)
Epoch: [62][4460/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 1.7834 (1.9140)	Prec@1 49.219 (50.384)	Prec@5 85.156 (80.203)
Epoch: [62][4470/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 1.7611 (1.9140)	Prec@1 53.125 (50.387)	Prec@5 82.812 (80.202)
Epoch: [62][4480/14090]	Time 0.765 (0.766)	Data 0.001 (0.002)	Loss 1.8943 (1.9140)	Prec@1 50.781 (50.383)	Prec@5 78.125 (80.200)
Epoch: [62][4490/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 1.8219 (1.9141)	Prec@1 49.219 (50.381)	Prec@5 75.781 (80.198)
Epoch: [62][4500/14090]	Time 0.785 (0.766)	Data 0.001 (0.002)	Loss 1.8597 (1.9143)	Prec@1 58.594 (50.380)	Prec@5 81.250 (80.196)
Epoch: [62][4510/14090]	Time 0.764 (0.766)	Data 0.001 (0.002)	Loss 2.3562 (1.9144)	Prec@1 41.406 (50.376)	Prec@5 71.875 (80.190)
Epoch: [62][4520/14090]	Time 0.902 (0.766)	Data 0.001 (0.002)	Loss 2.0327 (1.9144)	Prec@1 49.219 (50.379)	Prec@5 79.688 (80.191)
Epoch: [62][4530/14090]	Time 0.767 (0.766)	Data 0.001 (0.002)	Loss 2.1056 (1.9145)	Prec@1 46.094 (50.379)	Prec@5 78.906 (80.189)
Epoch: [62][4540/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 1.8450 (1.9144)	Prec@1 53.906 (50.380)	Prec@5 80.469 (80.189)
Epoch: [62][4550/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 1.7682 (1.9143)	Prec@1 49.219 (50.379)	Prec@5 82.812 (80.191)
Epoch: [62][4560/14090]	Time 0.724 (0.766)	Data 0.001 (0.002)	Loss 1.7598 (1.9141)	Prec@1 57.812 (50.377)	Prec@5 81.250 (80.194)
Epoch: [62][4570/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.2315 (1.9139)	Prec@1 46.875 (50.383)	Prec@5 73.438 (80.195)
Epoch: [62][4580/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 1.6444 (1.9138)	Prec@1 53.125 (50.380)	Prec@5 83.594 (80.198)
Epoch: [62][4590/14090]	Time 0.907 (0.766)	Data 0.001 (0.002)	Loss 2.1523 (1.9139)	Prec@1 43.750 (50.376)	Prec@5 73.438 (80.194)
Epoch: [62][4600/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 1.8766 (1.9138)	Prec@1 47.656 (50.378)	Prec@5 85.156 (80.198)
Epoch: [62][4610/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 1.9552 (1.9138)	Prec@1 48.438 (50.379)	Prec@5 79.688 (80.195)
Epoch: [62][4620/14090]	Time 0.782 (0.766)	Data 0.001 (0.002)	Loss 1.8711 (1.9138)	Prec@1 47.656 (50.375)	Prec@5 78.125 (80.196)
Epoch: [62][4630/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 1.8191 (1.9138)	Prec@1 48.438 (50.374)	Prec@5 81.250 (80.195)
Epoch: [62][4640/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 1.6811 (1.9137)	Prec@1 60.156 (50.379)	Prec@5 86.719 (80.198)
Epoch: [62][4650/14090]	Time 0.766 (0.765)	Data 0.002 (0.002)	Loss 1.9939 (1.9135)	Prec@1 45.312 (50.376)	Prec@5 82.031 (80.201)
Epoch: [62][4660/14090]	Time 0.884 (0.765)	Data 0.001 (0.002)	Loss 1.9399 (1.9136)	Prec@1 53.906 (50.376)	Prec@5 77.344 (80.200)
Epoch: [62][4670/14090]	Time 0.731 (0.765)	Data 0.001 (0.002)	Loss 1.6917 (1.9135)	Prec@1 54.688 (50.380)	Prec@5 83.594 (80.199)
Epoch: [62][4680/14090]	Time 0.751 (0.765)	Data 0.001 (0.002)	Loss 1.8369 (1.9134)	Prec@1 57.812 (50.382)	Prec@5 82.031 (80.199)
Epoch: [62][4690/14090]	Time 0.755 (0.765)	Data 0.001 (0.002)	Loss 2.1091 (1.9134)	Prec@1 49.219 (50.385)	Prec@5 75.000 (80.197)
Epoch: [62][4700/14090]	Time 0.724 (0.765)	Data 0.001 (0.002)	Loss 2.0791 (1.9136)	Prec@1 43.750 (50.381)	Prec@5 78.125 (80.196)
Epoch: [62][4710/14090]	Time 0.756 (0.765)	Data 0.001 (0.002)	Loss 1.8394 (1.9136)	Prec@1 55.469 (50.379)	Prec@5 79.688 (80.195)
Epoch: [62][4720/14090]	Time 0.733 (0.765)	Data 0.001 (0.002)	Loss 2.1600 (1.9139)	Prec@1 46.875 (50.370)	Prec@5 75.781 (80.189)
Epoch: [62][4730/14090]	Time 0.873 (0.765)	Data 0.001 (0.002)	Loss 1.8203 (1.9138)	Prec@1 44.531 (50.366)	Prec@5 82.031 (80.192)
Epoch: [62][4740/14090]	Time 0.753 (0.765)	Data 0.001 (0.002)	Loss 1.8573 (1.9138)	Prec@1 56.250 (50.366)	Prec@5 81.250 (80.196)
Epoch: [62][4750/14090]	Time 0.746 (0.765)	Data 0.001 (0.002)	Loss 1.9808 (1.9139)	Prec@1 51.562 (50.363)	Prec@5 80.469 (80.194)
Epoch: [62][4760/14090]	Time 0.753 (0.765)	Data 0.001 (0.002)	Loss 2.0032 (1.9139)	Prec@1 51.562 (50.361)	Prec@5 77.344 (80.193)
Epoch: [62][4770/14090]	Time 0.751 (0.765)	Data 0.001 (0.002)	Loss 2.1169 (1.9141)	Prec@1 47.656 (50.360)	Prec@5 75.781 (80.191)
Epoch: [62][4780/14090]	Time 0.754 (0.765)	Data 0.001 (0.002)	Loss 1.8706 (1.9142)	Prec@1 48.438 (50.358)	Prec@5 78.906 (80.190)
Epoch: [62][4790/14090]	Time 0.744 (0.765)	Data 0.001 (0.002)	Loss 1.8122 (1.9141)	Prec@1 50.781 (50.362)	Prec@5 82.031 (80.192)
Epoch: [62][4800/14090]	Time 0.872 (0.765)	Data 0.001 (0.002)	Loss 2.0396 (1.9141)	Prec@1 45.312 (50.361)	Prec@5 75.000 (80.193)
Epoch: [62][4810/14090]	Time 0.763 (0.765)	Data 0.001 (0.002)	Loss 1.9759 (1.9140)	Prec@1 44.531 (50.358)	Prec@5 84.375 (80.197)
Epoch: [62][4820/14090]	Time 0.739 (0.765)	Data 0.001 (0.002)	Loss 2.0286 (1.9139)	Prec@1 42.188 (50.360)	Prec@5 76.562 (80.199)
Epoch: [62][4830/14090]	Time 0.764 (0.765)	Data 0.001 (0.002)	Loss 1.7325 (1.9138)	Prec@1 55.469 (50.360)	Prec@5 87.500 (80.201)
Epoch: [62][4840/14090]	Time 0.724 (0.765)	Data 0.001 (0.002)	Loss 1.8447 (1.9138)	Prec@1 51.562 (50.359)	Prec@5 83.594 (80.200)
Epoch: [62][4850/14090]	Time 0.758 (0.765)	Data 0.001 (0.002)	Loss 1.8670 (1.9139)	Prec@1 54.688 (50.361)	Prec@5 80.469 (80.200)
Epoch: [62][4860/14090]	Time 0.763 (0.765)	Data 0.001 (0.002)	Loss 1.9846 (1.9140)	Prec@1 43.750 (50.358)	Prec@5 82.812 (80.199)
Epoch: [62][4870/14090]	Time 0.871 (0.765)	Data 0.001 (0.002)	Loss 1.8490 (1.9140)	Prec@1 48.438 (50.358)	Prec@5 81.250 (80.196)
Epoch: [62][4880/14090]	Time 0.759 (0.765)	Data 0.003 (0.002)	Loss 2.0199 (1.9140)	Prec@1 52.344 (50.361)	Prec@5 76.562 (80.194)
Epoch: [62][4890/14090]	Time 0.743 (0.765)	Data 0.001 (0.002)	Loss 1.7811 (1.9139)	Prec@1 54.688 (50.366)	Prec@5 84.375 (80.195)
Epoch: [62][4900/14090]	Time 0.741 (0.765)	Data 0.001 (0.002)	Loss 2.0710 (1.9139)	Prec@1 49.219 (50.365)	Prec@5 73.438 (80.193)
Epoch: [62][4910/14090]	Time 0.736 (0.765)	Data 0.001 (0.002)	Loss 1.6729 (1.9139)	Prec@1 53.906 (50.364)	Prec@5 82.812 (80.194)
Epoch: [62][4920/14090]	Time 0.741 (0.765)	Data 0.001 (0.002)	Loss 1.9725 (1.9140)	Prec@1 49.219 (50.361)	Prec@5 78.906 (80.193)
Epoch: [62][4930/14090]	Time 0.769 (0.765)	Data 0.001 (0.002)	Loss 1.8650 (1.9138)	Prec@1 47.656 (50.363)	Prec@5 78.125 (80.195)
Epoch: [62][4940/14090]	Time 0.873 (0.765)	Data 0.001 (0.002)	Loss 2.1217 (1.9137)	Prec@1 49.219 (50.368)	Prec@5 75.781 (80.196)
Epoch: [62][4950/14090]	Time 0.755 (0.765)	Data 0.001 (0.002)	Loss 1.7884 (1.9139)	Prec@1 50.000 (50.367)	Prec@5 82.031 (80.196)
Epoch: [62][4960/14090]	Time 0.746 (0.765)	Data 0.001 (0.002)	Loss 1.8923 (1.9139)	Prec@1 51.562 (50.365)	Prec@5 83.594 (80.196)
Epoch: [62][4970/14090]	Time 0.726 (0.765)	Data 0.001 (0.002)	Loss 1.8912 (1.9141)	Prec@1 53.906 (50.360)	Prec@5 78.906 (80.193)
Epoch: [62][4980/14090]	Time 0.750 (0.765)	Data 0.001 (0.002)	Loss 2.1348 (1.9140)	Prec@1 43.750 (50.362)	Prec@5 78.125 (80.194)
Epoch: [62][4990/14090]	Time 0.737 (0.765)	Data 0.001 (0.002)	Loss 1.9178 (1.9140)	Prec@1 51.562 (50.366)	Prec@5 80.469 (80.194)
Epoch: [62][5000/14090]	Time 0.726 (0.765)	Data 0.001 (0.002)	Loss 1.7177 (1.9140)	Prec@1 53.125 (50.366)	Prec@5 79.688 (80.196)
Epoch: [62][5010/14090]	Time 0.852 (0.765)	Data 0.001 (0.002)	Loss 2.0744 (1.9141)	Prec@1 46.875 (50.361)	Prec@5 79.688 (80.196)
Epoch: [62][5020/14090]	Time 0.752 (0.765)	Data 0.001 (0.002)	Loss 2.1847 (1.9142)	Prec@1 46.875 (50.365)	Prec@5 77.344 (80.194)
Epoch: [62][5030/14090]	Time 0.750 (0.765)	Data 0.001 (0.002)	Loss 1.7192 (1.9141)	Prec@1 45.312 (50.362)	Prec@5 86.719 (80.195)
Epoch: [62][5040/14090]	Time 0.761 (0.765)	Data 0.001 (0.002)	Loss 1.9892 (1.9142)	Prec@1 52.344 (50.358)	Prec@5 78.906 (80.195)
Epoch: [62][5050/14090]	Time 0.747 (0.765)	Data 0.001 (0.002)	Loss 1.6831 (1.9142)	Prec@1 53.906 (50.359)	Prec@5 82.031 (80.193)
Epoch: [62][5060/14090]	Time 0.725 (0.765)	Data 0.001 (0.002)	Loss 2.0471 (1.9141)	Prec@1 39.844 (50.357)	Prec@5 81.250 (80.196)
Epoch: [62][5070/14090]	Time 0.732 (0.765)	Data 0.001 (0.002)	Loss 1.7790 (1.9143)	Prec@1 56.250 (50.354)	Prec@5 84.375 (80.193)
Epoch: [62][5080/14090]	Time 0.891 (0.765)	Data 0.001 (0.002)	Loss 1.8329 (1.9144)	Prec@1 50.781 (50.352)	Prec@5 85.156 (80.190)
Epoch: [62][5090/14090]	Time 0.737 (0.765)	Data 0.001 (0.002)	Loss 2.1999 (1.9143)	Prec@1 46.094 (50.355)	Prec@5 74.219 (80.189)
Epoch: [62][5100/14090]	Time 0.735 (0.765)	Data 0.001 (0.002)	Loss 1.9290 (1.9140)	Prec@1 49.219 (50.359)	Prec@5 79.688 (80.195)
Epoch: [62][5110/14090]	Time 0.737 (0.765)	Data 0.002 (0.002)	Loss 2.0448 (1.9142)	Prec@1 49.219 (50.353)	Prec@5 75.000 (80.192)
Epoch: [62][5120/14090]	Time 0.722 (0.765)	Data 0.001 (0.002)	Loss 1.9869 (1.9142)	Prec@1 46.094 (50.353)	Prec@5 79.688 (80.192)
Epoch: [62][5130/14090]	Time 0.750 (0.765)	Data 0.000 (0.002)	Loss 1.8562 (1.9142)	Prec@1 47.656 (50.351)	Prec@5 82.031 (80.190)
Epoch: [62][5140/14090]	Time 0.766 (0.765)	Data 0.001 (0.002)	Loss 1.7729 (1.9141)	Prec@1 54.688 (50.353)	Prec@5 81.250 (80.192)
Epoch: [62][5150/14090]	Time 0.872 (0.765)	Data 0.003 (0.002)	Loss 2.1896 (1.9142)	Prec@1 46.094 (50.354)	Prec@5 73.438 (80.190)
Epoch: [62][5160/14090]	Time 0.716 (0.765)	Data 0.001 (0.002)	Loss 2.1461 (1.9142)	Prec@1 43.750 (50.354)	Prec@5 71.875 (80.187)
Epoch: [62][5170/14090]	Time 0.759 (0.765)	Data 0.001 (0.002)	Loss 1.9522 (1.9143)	Prec@1 49.219 (50.352)	Prec@5 78.906 (80.187)
Epoch: [62][5180/14090]	Time 0.741 (0.765)	Data 0.001 (0.002)	Loss 2.0018 (1.9144)	Prec@1 47.656 (50.347)	Prec@5 78.125 (80.186)
Epoch: [62][5190/14090]	Time 0.751 (0.765)	Data 0.001 (0.002)	Loss 2.1662 (1.9143)	Prec@1 42.969 (50.350)	Prec@5 75.781 (80.188)
Epoch: [62][5200/14090]	Time 0.758 (0.765)	Data 0.001 (0.002)	Loss 1.9183 (1.9143)	Prec@1 47.656 (50.347)	Prec@5 82.031 (80.189)
Epoch: [62][5210/14090]	Time 0.754 (0.765)	Data 0.001 (0.002)	Loss 1.9080 (1.9143)	Prec@1 50.781 (50.348)	Prec@5 78.125 (80.190)
Epoch: [62][5220/14090]	Time 0.867 (0.765)	Data 0.001 (0.002)	Loss 1.8603 (1.9143)	Prec@1 56.250 (50.347)	Prec@5 79.688 (80.189)
Epoch: [62][5230/14090]	Time 0.728 (0.765)	Data 0.001 (0.002)	Loss 1.9923 (1.9144)	Prec@1 49.219 (50.344)	Prec@5 76.562 (80.187)
Epoch: [62][5240/14090]	Time 0.724 (0.765)	Data 0.001 (0.002)	Loss 1.9072 (1.9144)	Prec@1 46.094 (50.344)	Prec@5 81.250 (80.189)
Epoch: [62][5250/14090]	Time 0.743 (0.765)	Data 0.001 (0.002)	Loss 2.2435 (1.9143)	Prec@1 45.312 (50.346)	Prec@5 79.688 (80.192)
Epoch: [62][5260/14090]	Time 0.734 (0.765)	Data 0.001 (0.002)	Loss 1.8310 (1.9143)	Prec@1 48.438 (50.346)	Prec@5 79.688 (80.190)
Epoch: [62][5270/14090]	Time 0.759 (0.765)	Data 0.001 (0.002)	Loss 1.8434 (1.9143)	Prec@1 53.125 (50.347)	Prec@5 80.469 (80.193)
Epoch: [62][5280/14090]	Time 0.723 (0.765)	Data 0.001 (0.002)	Loss 1.6256 (1.9141)	Prec@1 58.594 (50.352)	Prec@5 84.375 (80.194)
Epoch: [62][5290/14090]	Time 0.877 (0.765)	Data 0.001 (0.002)	Loss 1.7092 (1.9143)	Prec@1 59.375 (50.352)	Prec@5 80.469 (80.191)
Epoch: [62][5300/14090]	Time 0.749 (0.765)	Data 0.001 (0.002)	Loss 1.7627 (1.9142)	Prec@1 50.781 (50.350)	Prec@5 83.594 (80.194)
Epoch: [62][5310/14090]	Time 0.740 (0.765)	Data 0.001 (0.002)	Loss 1.9108 (1.9142)	Prec@1 49.219 (50.353)	Prec@5 79.688 (80.194)
Epoch: [62][5320/14090]	Time 0.778 (0.765)	Data 0.001 (0.002)	Loss 1.9338 (1.9140)	Prec@1 47.656 (50.356)	Prec@5 82.812 (80.197)
Epoch: [62][5330/14090]	Time 0.761 (0.765)	Data 0.001 (0.002)	Loss 2.1056 (1.9139)	Prec@1 42.969 (50.357)	Prec@5 78.125 (80.200)
Epoch: [62][5340/14090]	Time 0.744 (0.765)	Data 0.001 (0.002)	Loss 2.1115 (1.9141)	Prec@1 47.656 (50.351)	Prec@5 78.906 (80.195)
Epoch: [62][5350/14090]	Time 0.743 (0.765)	Data 0.001 (0.002)	Loss 1.8401 (1.9141)	Prec@1 53.906 (50.350)	Prec@5 84.375 (80.197)
Epoch: [62][5360/14090]	Time 0.870 (0.765)	Data 0.001 (0.002)	Loss 1.9596 (1.9140)	Prec@1 47.656 (50.352)	Prec@5 81.250 (80.197)
Epoch: [62][5370/14090]	Time 0.746 (0.765)	Data 0.001 (0.002)	Loss 1.9208 (1.9141)	Prec@1 47.656 (50.351)	Prec@5 81.250 (80.195)
Epoch: [62][5380/14090]	Time 0.753 (0.765)	Data 0.001 (0.002)	Loss 1.8734 (1.9140)	Prec@1 50.781 (50.351)	Prec@5 82.031 (80.200)
Epoch: [62][5390/14090]	Time 0.761 (0.765)	Data 0.001 (0.002)	Loss 1.8120 (1.9140)	Prec@1 52.344 (50.347)	Prec@5 83.594 (80.201)
Epoch: [62][5400/14090]	Time 0.719 (0.765)	Data 0.001 (0.002)	Loss 2.1452 (1.9140)	Prec@1 45.312 (50.348)	Prec@5 75.000 (80.200)
Epoch: [62][5410/14090]	Time 0.756 (0.765)	Data 0.001 (0.002)	Loss 1.8768 (1.9140)	Prec@1 45.312 (50.351)	Prec@5 83.594 (80.199)
Epoch: [62][5420/14090]	Time 0.727 (0.765)	Data 0.001 (0.002)	Loss 2.0468 (1.9140)	Prec@1 46.094 (50.351)	Prec@5 78.125 (80.201)
Epoch: [62][5430/14090]	Time 0.885 (0.765)	Data 0.001 (0.002)	Loss 1.8113 (1.9141)	Prec@1 50.781 (50.351)	Prec@5 84.375 (80.202)
Epoch: [62][5440/14090]	Time 0.726 (0.765)	Data 0.001 (0.002)	Loss 1.8024 (1.9140)	Prec@1 53.906 (50.354)	Prec@5 80.469 (80.202)
Epoch: [62][5450/14090]	Time 0.745 (0.765)	Data 0.001 (0.002)	Loss 1.7899 (1.9140)	Prec@1 52.344 (50.355)	Prec@5 84.375 (80.206)
Epoch: [62][5460/14090]	Time 0.722 (0.765)	Data 0.001 (0.002)	Loss 1.9293 (1.9139)	Prec@1 50.000 (50.358)	Prec@5 79.688 (80.209)
Epoch: [62][5470/14090]	Time 0.749 (0.765)	Data 0.001 (0.002)	Loss 1.7875 (1.9138)	Prec@1 56.250 (50.357)	Prec@5 82.031 (80.209)
Epoch: [62][5480/14090]	Time 0.763 (0.765)	Data 0.001 (0.002)	Loss 2.2254 (1.9139)	Prec@1 42.188 (50.353)	Prec@5 74.219 (80.209)
Epoch: [62][5490/14090]	Time 0.727 (0.765)	Data 0.001 (0.002)	Loss 1.8984 (1.9141)	Prec@1 46.094 (50.348)	Prec@5 80.469 (80.206)
Epoch: [62][5500/14090]	Time 0.868 (0.765)	Data 0.001 (0.002)	Loss 2.1614 (1.9143)	Prec@1 46.094 (50.344)	Prec@5 78.906 (80.204)
Epoch: [62][5510/14090]	Time 0.749 (0.765)	Data 0.001 (0.002)	Loss 2.2175 (1.9144)	Prec@1 46.094 (50.343)	Prec@5 69.531 (80.201)
Epoch: [62][5520/14090]	Time 0.722 (0.765)	Data 0.001 (0.002)	Loss 1.8750 (1.9144)	Prec@1 46.094 (50.344)	Prec@5 81.250 (80.201)
Epoch: [62][5530/14090]	Time 0.733 (0.765)	Data 0.001 (0.002)	Loss 2.0892 (1.9145)	Prec@1 48.438 (50.343)	Prec@5 78.125 (80.203)
Epoch: [62][5540/14090]	Time 0.736 (0.765)	Data 0.001 (0.002)	Loss 1.7217 (1.9145)	Prec@1 56.250 (50.343)	Prec@5 84.375 (80.204)
Epoch: [62][5550/14090]	Time 0.755 (0.765)	Data 0.001 (0.002)	Loss 1.7538 (1.9144)	Prec@1 52.344 (50.345)	Prec@5 83.594 (80.203)
Epoch: [62][5560/14090]	Time 0.753 (0.765)	Data 0.001 (0.002)	Loss 1.8488 (1.9145)	Prec@1 51.562 (50.345)	Prec@5 82.031 (80.202)
Epoch: [62][5570/14090]	Time 0.848 (0.765)	Data 0.001 (0.002)	Loss 2.0690 (1.9146)	Prec@1 48.438 (50.346)	Prec@5 75.781 (80.199)
Epoch: [62][5580/14090]	Time 0.729 (0.765)	Data 0.001 (0.002)	Loss 1.9593 (1.9147)	Prec@1 51.562 (50.345)	Prec@5 76.562 (80.198)
Epoch: [62][5590/14090]	Time 0.753 (0.765)	Data 0.001 (0.002)	Loss 2.1147 (1.9147)	Prec@1 45.312 (50.341)	Prec@5 78.125 (80.200)
Epoch: [62][5600/14090]	Time 0.761 (0.765)	Data 0.001 (0.002)	Loss 2.1038 (1.9147)	Prec@1 46.094 (50.344)	Prec@5 78.125 (80.200)
Epoch: [62][5610/14090]	Time 0.740 (0.765)	Data 0.001 (0.002)	Loss 1.7923 (1.9148)	Prec@1 54.688 (50.342)	Prec@5 81.250 (80.199)
Epoch: [62][5620/14090]	Time 0.737 (0.765)	Data 0.001 (0.002)	Loss 1.8168 (1.9147)	Prec@1 59.375 (50.345)	Prec@5 79.688 (80.200)
Epoch: [62][5630/14090]	Time 0.734 (0.765)	Data 0.001 (0.002)	Loss 1.8049 (1.9147)	Prec@1 50.000 (50.343)	Prec@5 84.375 (80.201)
Epoch: [62][5640/14090]	Time 0.846 (0.765)	Data 0.001 (0.002)	Loss 1.9369 (1.9146)	Prec@1 52.344 (50.341)	Prec@5 75.781 (80.196)
Epoch: [62][5650/14090]	Time 0.729 (0.765)	Data 0.001 (0.002)	Loss 1.8311 (1.9146)	Prec@1 55.469 (50.343)	Prec@5 78.906 (80.197)
Epoch: [62][5660/14090]	Time 0.721 (0.765)	Data 0.001 (0.002)	Loss 1.9467 (1.9147)	Prec@1 54.688 (50.341)	Prec@5 76.562 (80.194)
Epoch: [62][5670/14090]	Time 0.745 (0.765)	Data 0.001 (0.002)	Loss 1.9942 (1.9147)	Prec@1 47.656 (50.341)	Prec@5 76.562 (80.192)
Epoch: [62][5680/14090]	Time 0.785 (0.765)	Data 0.001 (0.002)	Loss 1.8802 (1.9148)	Prec@1 49.219 (50.339)	Prec@5 81.250 (80.192)
Epoch: [62][5690/14090]	Time 0.767 (0.765)	Data 0.001 (0.002)	Loss 1.9986 (1.9148)	Prec@1 46.875 (50.338)	Prec@5 82.031 (80.191)
Epoch: [62][5700/14090]	Time 0.729 (0.765)	Data 0.001 (0.002)	Loss 1.9030 (1.9146)	Prec@1 51.562 (50.344)	Prec@5 75.000 (80.194)
Epoch: [62][5710/14090]	Time 0.975 (0.765)	Data 0.001 (0.002)	Loss 2.0168 (1.9146)	Prec@1 46.875 (50.347)	Prec@5 79.688 (80.194)
Epoch: [62][5720/14090]	Time 0.728 (0.765)	Data 0.001 (0.002)	Loss 1.8381 (1.9146)	Prec@1 53.906 (50.345)	Prec@5 80.469 (80.196)
Epoch: [62][5730/14090]	Time 0.725 (0.765)	Data 0.001 (0.002)	Loss 1.8905 (1.9147)	Prec@1 53.125 (50.344)	Prec@5 81.250 (80.194)
Epoch: [62][5740/14090]	Time 0.770 (0.765)	Data 0.001 (0.002)	Loss 1.9176 (1.9146)	Prec@1 47.656 (50.343)	Prec@5 82.031 (80.195)
Epoch: [62][5750/14090]	Time 0.755 (0.765)	Data 0.001 (0.002)	Loss 1.7613 (1.9147)	Prec@1 53.125 (50.343)	Prec@5 86.719 (80.193)
Epoch: [62][5760/14090]	Time 0.748 (0.765)	Data 0.001 (0.002)	Loss 1.8649 (1.9146)	Prec@1 52.344 (50.346)	Prec@5 78.125 (80.193)
Epoch: [62][5770/14090]	Time 0.749 (0.765)	Data 0.001 (0.002)	Loss 1.7657 (1.9146)	Prec@1 50.781 (50.347)	Prec@5 82.031 (80.192)
Epoch: [62][5780/14090]	Time 0.865 (0.765)	Data 0.001 (0.002)	Loss 1.9682 (1.9146)	Prec@1 53.125 (50.350)	Prec@5 78.125 (80.192)
Epoch: [62][5790/14090]	Time 0.760 (0.765)	Data 0.001 (0.002)	Loss 1.4732 (1.9146)	Prec@1 53.125 (50.349)	Prec@5 88.281 (80.191)
Epoch: [62][5800/14090]	Time 0.762 (0.765)	Data 0.001 (0.002)	Loss 2.0339 (1.9145)	Prec@1 43.750 (50.352)	Prec@5 78.906 (80.193)
Epoch: [62][5810/14090]	Time 0.753 (0.765)	Data 0.001 (0.002)	Loss 2.1776 (1.9146)	Prec@1 42.969 (50.351)	Prec@5 74.219 (80.192)
Epoch: [62][5820/14090]	Time 0.728 (0.765)	Data 0.001 (0.002)	Loss 1.8729 (1.9145)	Prec@1 47.656 (50.352)	Prec@5 79.688 (80.192)
Epoch: [62][5830/14090]	Time 0.762 (0.765)	Data 0.001 (0.002)	Loss 1.8880 (1.9146)	Prec@1 50.000 (50.349)	Prec@5 82.031 (80.190)
Epoch: [62][5840/14090]	Time 0.722 (0.765)	Data 0.001 (0.002)	Loss 2.1408 (1.9148)	Prec@1 46.094 (50.346)	Prec@5 74.219 (80.183)
Epoch: [62][5850/14090]	Time 0.851 (0.765)	Data 0.001 (0.002)	Loss 1.6320 (1.9147)	Prec@1 57.031 (50.346)	Prec@5 83.594 (80.182)
Epoch: [62][5860/14090]	Time 0.760 (0.765)	Data 0.001 (0.002)	Loss 1.7879 (1.9145)	Prec@1 57.812 (50.351)	Prec@5 82.812 (80.185)
Epoch: [62][5870/14090]	Time 0.744 (0.765)	Data 0.001 (0.002)	Loss 1.9834 (1.9146)	Prec@1 49.219 (50.349)	Prec@5 76.562 (80.184)
Epoch: [62][5880/14090]	Time 0.746 (0.765)	Data 0.001 (0.002)	Loss 1.8171 (1.9145)	Prec@1 53.125 (50.351)	Prec@5 79.688 (80.189)
Epoch: [62][5890/14090]	Time 0.757 (0.765)	Data 0.001 (0.002)	Loss 2.2149 (1.9145)	Prec@1 42.188 (50.350)	Prec@5 78.906 (80.189)
Epoch: [62][5900/14090]	Time 0.738 (0.765)	Data 0.001 (0.002)	Loss 1.8062 (1.9145)	Prec@1 55.469 (50.350)	Prec@5 81.250 (80.190)
Epoch: [62][5910/14090]	Time 0.719 (0.765)	Data 0.001 (0.002)	Loss 1.9877 (1.9145)	Prec@1 51.562 (50.352)	Prec@5 82.031 (80.189)
Epoch: [62][5920/14090]	Time 0.902 (0.765)	Data 0.001 (0.002)	Loss 1.8289 (1.9144)	Prec@1 50.781 (50.355)	Prec@5 85.938 (80.191)
Epoch: [62][5930/14090]	Time 0.759 (0.765)	Data 0.001 (0.002)	Loss 1.7104 (1.9143)	Prec@1 56.250 (50.358)	Prec@5 82.812 (80.192)
Epoch: [62][5940/14090]	Time 0.728 (0.765)	Data 0.002 (0.002)	Loss 1.9771 (1.9144)	Prec@1 49.219 (50.355)	Prec@5 81.250 (80.190)
Epoch: [62][5950/14090]	Time 0.754 (0.765)	Data 0.001 (0.002)	Loss 1.5723 (1.9144)	Prec@1 59.375 (50.355)	Prec@5 85.156 (80.189)
Epoch: [62][5960/14090]	Time 0.772 (0.765)	Data 0.001 (0.002)	Loss 2.2352 (1.9144)	Prec@1 42.969 (50.356)	Prec@5 73.438 (80.190)
Epoch: [62][5970/14090]	Time 0.751 (0.765)	Data 0.001 (0.002)	Loss 2.0017 (1.9144)	Prec@1 50.000 (50.355)	Prec@5 77.344 (80.193)
Epoch: [62][5980/14090]	Time 0.745 (0.765)	Data 0.001 (0.002)	Loss 1.7774 (1.9146)	Prec@1 55.469 (50.355)	Prec@5 83.594 (80.191)
Epoch: [62][5990/14090]	Time 0.893 (0.765)	Data 0.001 (0.002)	Loss 2.0625 (1.9146)	Prec@1 52.344 (50.352)	Prec@5 77.344 (80.191)
Epoch: [62][6000/14090]	Time 0.737 (0.765)	Data 0.001 (0.002)	Loss 1.7529 (1.9146)	Prec@1 48.438 (50.352)	Prec@5 79.688 (80.191)
Epoch: [62][6010/14090]	Time 0.735 (0.765)	Data 0.001 (0.002)	Loss 2.0397 (1.9145)	Prec@1 50.781 (50.355)	Prec@5 78.125 (80.193)
Epoch: [62][6020/14090]	Time 0.737 (0.765)	Data 0.001 (0.002)	Loss 1.6865 (1.9145)	Prec@1 51.562 (50.356)	Prec@5 84.375 (80.193)
Epoch: [62][6030/14090]	Time 0.726 (0.765)	Data 0.001 (0.002)	Loss 1.8753 (1.9144)	Prec@1 50.781 (50.358)	Prec@5 85.938 (80.195)
Epoch: [62][6040/14090]	Time 0.748 (0.765)	Data 0.001 (0.002)	Loss 2.0564 (1.9144)	Prec@1 41.406 (50.358)	Prec@5 77.344 (80.197)
Epoch: [62][6050/14090]	Time 0.759 (0.765)	Data 0.001 (0.002)	Loss 2.0819 (1.9144)	Prec@1 48.438 (50.357)	Prec@5 78.125 (80.196)
Epoch: [62][6060/14090]	Time 0.844 (0.765)	Data 0.001 (0.002)	Loss 1.9195 (1.9144)	Prec@1 47.656 (50.356)	Prec@5 80.469 (80.196)
Epoch: [62][6070/14090]	Time 0.732 (0.765)	Data 0.001 (0.002)	Loss 1.9498 (1.9144)	Prec@1 50.000 (50.357)	Prec@5 79.688 (80.197)
Epoch: [62][6080/14090]	Time 0.740 (0.765)	Data 0.001 (0.002)	Loss 1.7402 (1.9143)	Prec@1 57.812 (50.358)	Prec@5 82.031 (80.197)
Epoch: [62][6090/14090]	Time 0.748 (0.765)	Data 0.001 (0.002)	Loss 1.9754 (1.9144)	Prec@1 46.875 (50.352)	Prec@5 79.688 (80.196)
Epoch: [62][6100/14090]	Time 0.764 (0.765)	Data 0.001 (0.002)	Loss 2.0123 (1.9144)	Prec@1 45.312 (50.354)	Prec@5 74.219 (80.195)
Epoch: [62][6110/14090]	Time 0.729 (0.765)	Data 0.001 (0.002)	Loss 2.1794 (1.9143)	Prec@1 42.188 (50.356)	Prec@5 74.219 (80.197)
Epoch: [62][6120/14090]	Time 0.749 (0.765)	Data 0.001 (0.002)	Loss 1.8471 (1.9142)	Prec@1 53.125 (50.361)	Prec@5 77.344 (80.198)
Epoch: [62][6130/14090]	Time 0.832 (0.765)	Data 0.001 (0.002)	Loss 1.9919 (1.9143)	Prec@1 47.656 (50.361)	Prec@5 80.469 (80.197)
Epoch: [62][6140/14090]	Time 0.775 (0.765)	Data 0.001 (0.002)	Loss 2.0789 (1.9143)	Prec@1 46.094 (50.362)	Prec@5 80.469 (80.194)
Epoch: [62][6150/14090]	Time 0.736 (0.765)	Data 0.001 (0.002)	Loss 1.7861 (1.9143)	Prec@1 57.812 (50.365)	Prec@5 78.906 (80.195)
Epoch: [62][6160/14090]	Time 0.735 (0.765)	Data 0.001 (0.002)	Loss 1.8042 (1.9143)	Prec@1 54.688 (50.368)	Prec@5 81.250 (80.195)
Epoch: [62][6170/14090]	Time 0.744 (0.765)	Data 0.001 (0.002)	Loss 1.8401 (1.9144)	Prec@1 53.125 (50.367)	Prec@5 84.375 (80.193)
Epoch: [62][6180/14090]	Time 0.745 (0.765)	Data 0.001 (0.002)	Loss 1.5925 (1.9143)	Prec@1 62.500 (50.368)	Prec@5 82.812 (80.193)
Epoch: [62][6190/14090]	Time 0.773 (0.765)	Data 0.001 (0.002)	Loss 1.8865 (1.9142)	Prec@1 49.219 (50.370)	Prec@5 81.250 (80.195)
Epoch: [62][6200/14090]	Time 0.824 (0.765)	Data 0.001 (0.002)	Loss 1.8823 (1.9143)	Prec@1 46.875 (50.371)	Prec@5 85.156 (80.195)
Epoch: [62][6210/14090]	Time 0.723 (0.765)	Data 0.001 (0.002)	Loss 2.0362 (1.9144)	Prec@1 50.781 (50.369)	Prec@5 79.688 (80.192)
Epoch: [62][6220/14090]	Time 0.730 (0.765)	Data 0.001 (0.002)	Loss 2.1183 (1.9145)	Prec@1 42.188 (50.366)	Prec@5 81.250 (80.191)
Epoch: [62][6230/14090]	Time 0.747 (0.765)	Data 0.001 (0.002)	Loss 1.5997 (1.9145)	Prec@1 60.156 (50.366)	Prec@5 82.812 (80.194)
Epoch: [62][6240/14090]	Time 0.725 (0.765)	Data 0.001 (0.002)	Loss 2.0815 (1.9145)	Prec@1 46.875 (50.365)	Prec@5 78.125 (80.192)
Epoch: [62][6250/14090]	Time 0.755 (0.765)	Data 0.001 (0.002)	Loss 1.8710 (1.9146)	Prec@1 50.781 (50.364)	Prec@5 83.594 (80.192)
Epoch: [62][6260/14090]	Time 0.731 (0.765)	Data 0.001 (0.002)	Loss 2.0852 (1.9147)	Prec@1 46.094 (50.360)	Prec@5 78.125 (80.189)
Epoch: [62][6270/14090]	Time 0.864 (0.765)	Data 0.001 (0.002)	Loss 1.9029 (1.9148)	Prec@1 49.219 (50.359)	Prec@5 82.031 (80.188)
Epoch: [62][6280/14090]	Time 0.729 (0.765)	Data 0.001 (0.002)	Loss 2.0015 (1.9148)	Prec@1 52.344 (50.359)	Prec@5 76.562 (80.187)
Epoch: [62][6290/14090]	Time 0.742 (0.765)	Data 0.001 (0.002)	Loss 2.0964 (1.9149)	Prec@1 40.625 (50.357)	Prec@5 78.125 (80.186)
Epoch: [62][6300/14090]	Time 0.729 (0.765)	Data 0.001 (0.002)	Loss 1.8368 (1.9150)	Prec@1 53.125 (50.354)	Prec@5 81.250 (80.186)
Epoch: [62][6310/14090]	Time 0.751 (0.765)	Data 0.001 (0.002)	Loss 1.8441 (1.9149)	Prec@1 54.688 (50.355)	Prec@5 79.688 (80.186)
Epoch: [62][6320/14090]	Time 0.754 (0.765)	Data 0.001 (0.002)	Loss 2.1444 (1.9150)	Prec@1 47.656 (50.353)	Prec@5 78.125 (80.185)
Epoch: [62][6330/14090]	Time 0.759 (0.765)	Data 0.001 (0.002)	Loss 1.8519 (1.9151)	Prec@1 54.688 (50.353)	Prec@5 85.938 (80.184)
Epoch: [62][6340/14090]	Time 0.840 (0.765)	Data 0.001 (0.002)	Loss 2.0907 (1.9152)	Prec@1 50.000 (50.350)	Prec@5 76.562 (80.183)
Epoch: [62][6350/14090]	Time 0.729 (0.765)	Data 0.001 (0.002)	Loss 1.9136 (1.9152)	Prec@1 49.219 (50.348)	Prec@5 85.156 (80.183)
Epoch: [62][6360/14090]	Time 0.754 (0.765)	Data 0.001 (0.002)	Loss 2.1327 (1.9152)	Prec@1 46.875 (50.349)	Prec@5 73.438 (80.182)
Epoch: [62][6370/14090]	Time 0.747 (0.765)	Data 0.001 (0.002)	Loss 1.8502 (1.9152)	Prec@1 49.219 (50.348)	Prec@5 83.594 (80.183)
Epoch: [62][6380/14090]	Time 0.744 (0.765)	Data 0.001 (0.002)	Loss 2.1574 (1.9153)	Prec@1 41.406 (50.345)	Prec@5 77.344 (80.182)
Epoch: [62][6390/14090]	Time 0.738 (0.765)	Data 0.001 (0.002)	Loss 1.8560 (1.9153)	Prec@1 50.781 (50.344)	Prec@5 81.250 (80.183)
Epoch: [62][6400/14090]	Time 0.733 (0.765)	Data 0.001 (0.002)	Loss 2.0823 (1.9153)	Prec@1 45.312 (50.345)	Prec@5 78.906 (80.182)
Epoch: [62][6410/14090]	Time 0.872 (0.765)	Data 0.001 (0.002)	Loss 1.6639 (1.9151)	Prec@1 55.469 (50.347)	Prec@5 84.375 (80.184)
Epoch: [62][6420/14090]	Time 0.733 (0.765)	Data 0.001 (0.002)	Loss 1.9930 (1.9151)	Prec@1 52.344 (50.348)	Prec@5 82.031 (80.184)
Epoch: [62][6430/14090]	Time 0.736 (0.765)	Data 0.001 (0.002)	Loss 1.8986 (1.9151)	Prec@1 53.125 (50.354)	Prec@5 83.594 (80.188)
Epoch: [62][6440/14090]	Time 0.778 (0.765)	Data 0.001 (0.002)	Loss 1.7928 (1.9150)	Prec@1 52.344 (50.356)	Prec@5 80.469 (80.188)
Epoch: [62][6450/14090]	Time 0.773 (0.765)	Data 0.001 (0.002)	Loss 1.9999 (1.9150)	Prec@1 48.438 (50.352)	Prec@5 78.906 (80.187)
Epoch: [62][6460/14090]	Time 0.771 (0.765)	Data 0.001 (0.002)	Loss 1.7985 (1.9151)	Prec@1 51.562 (50.348)	Prec@5 83.594 (80.188)
Epoch: [62][6470/14090]	Time 0.757 (0.765)	Data 0.001 (0.002)	Loss 1.7697 (1.9150)	Prec@1 53.125 (50.350)	Prec@5 84.375 (80.191)
Epoch: [62][6480/14090]	Time 0.844 (0.765)	Data 0.001 (0.002)	Loss 1.9031 (1.9150)	Prec@1 52.344 (50.349)	Prec@5 80.469 (80.192)
Epoch: [62][6490/14090]	Time 0.744 (0.765)	Data 0.001 (0.002)	Loss 1.9100 (1.9151)	Prec@1 55.469 (50.348)	Prec@5 75.781 (80.188)
Epoch: [62][6500/14090]	Time 0.737 (0.765)	Data 0.001 (0.002)	Loss 2.0736 (1.9151)	Prec@1 50.000 (50.350)	Prec@5 75.000 (80.189)
Epoch: [62][6510/14090]	Time 0.731 (0.765)	Data 0.001 (0.002)	Loss 1.7946 (1.9149)	Prec@1 44.531 (50.354)	Prec@5 85.156 (80.193)
Epoch: [62][6520/14090]	Time 0.738 (0.765)	Data 0.001 (0.002)	Loss 1.8638 (1.9149)	Prec@1 53.906 (50.354)	Prec@5 79.688 (80.192)
Epoch: [62][6530/14090]	Time 0.763 (0.765)	Data 0.001 (0.002)	Loss 1.8473 (1.9149)	Prec@1 45.312 (50.350)	Prec@5 84.375 (80.191)
Epoch: [62][6540/14090]	Time 0.775 (0.765)	Data 0.001 (0.002)	Loss 2.0290 (1.9150)	Prec@1 46.094 (50.347)	Prec@5 82.812 (80.189)
Epoch: [62][6550/14090]	Time 0.885 (0.765)	Data 0.001 (0.002)	Loss 1.8012 (1.9151)	Prec@1 51.562 (50.344)	Prec@5 82.812 (80.188)
Epoch: [62][6560/14090]	Time 0.746 (0.765)	Data 0.001 (0.002)	Loss 1.9063 (1.9151)	Prec@1 49.219 (50.344)	Prec@5 78.125 (80.187)
Epoch: [62][6570/14090]	Time 0.743 (0.765)	Data 0.001 (0.002)	Loss 1.7998 (1.9150)	Prec@1 51.562 (50.347)	Prec@5 83.594 (80.190)
Epoch: [62][6580/14090]	Time 0.746 (0.765)	Data 0.001 (0.002)	Loss 1.9899 (1.9151)	Prec@1 42.188 (50.343)	Prec@5 82.812 (80.189)
Epoch: [62][6590/14090]	Time 0.749 (0.765)	Data 0.001 (0.002)	Loss 2.0169 (1.9150)	Prec@1 46.094 (50.348)	Prec@5 78.906 (80.191)
Epoch: [62][6600/14090]	Time 0.754 (0.765)	Data 0.001 (0.002)	Loss 1.8409 (1.9150)	Prec@1 55.469 (50.349)	Prec@5 78.906 (80.191)
Epoch: [62][6610/14090]	Time 0.752 (0.765)	Data 0.001 (0.002)	Loss 1.8918 (1.9152)	Prec@1 46.875 (50.345)	Prec@5 80.469 (80.187)
Epoch: [62][6620/14090]	Time 0.865 (0.765)	Data 0.001 (0.002)	Loss 1.6214 (1.9151)	Prec@1 57.031 (50.344)	Prec@5 85.156 (80.187)
Epoch: [62][6630/14090]	Time 0.726 (0.765)	Data 0.001 (0.002)	Loss 1.8801 (1.9152)	Prec@1 51.562 (50.341)	Prec@5 78.906 (80.186)
Epoch: [62][6640/14090]	Time 0.750 (0.765)	Data 0.001 (0.002)	Loss 2.1738 (1.9152)	Prec@1 49.219 (50.341)	Prec@5 76.562 (80.186)
Epoch: [62][6650/14090]	Time 0.753 (0.765)	Data 0.001 (0.002)	Loss 2.0337 (1.9152)	Prec@1 49.219 (50.339)	Prec@5 78.906 (80.188)
Epoch: [62][6660/14090]	Time 0.780 (0.765)	Data 0.001 (0.002)	Loss 1.7630 (1.9151)	Prec@1 51.562 (50.341)	Prec@5 81.250 (80.188)
Epoch: [62][6670/14090]	Time 0.751 (0.765)	Data 0.001 (0.002)	Loss 2.0307 (1.9153)	Prec@1 42.969 (50.337)	Prec@5 79.688 (80.186)
Epoch: [62][6680/14090]	Time 0.738 (0.765)	Data 0.001 (0.002)	Loss 2.0643 (1.9152)	Prec@1 47.656 (50.337)	Prec@5 77.344 (80.185)
Epoch: [62][6690/14090]	Time 0.878 (0.765)	Data 0.001 (0.002)	Loss 1.8730 (1.9152)	Prec@1 52.344 (50.339)	Prec@5 78.906 (80.186)
Epoch: [62][6700/14090]	Time 0.770 (0.765)	Data 0.001 (0.002)	Loss 1.7888 (1.9152)	Prec@1 50.000 (50.339)	Prec@5 81.250 (80.185)
Epoch: [62][6710/14090]	Time 0.781 (0.765)	Data 0.001 (0.002)	Loss 1.7319 (1.9153)	Prec@1 57.031 (50.336)	Prec@5 81.250 (80.185)
Epoch: [62][6720/14090]	Time 0.745 (0.765)	Data 0.001 (0.002)	Loss 2.0582 (1.9153)	Prec@1 46.094 (50.336)	Prec@5 78.906 (80.185)
Epoch: [62][6730/14090]	Time 0.767 (0.765)	Data 0.001 (0.002)	Loss 1.8637 (1.9154)	Prec@1 52.344 (50.334)	Prec@5 82.812 (80.184)
Epoch: [62][6740/14090]	Time 0.726 (0.765)	Data 0.001 (0.002)	Loss 1.7552 (1.9153)	Prec@1 52.344 (50.334)	Prec@5 82.031 (80.183)
Epoch: [62][6750/14090]	Time 0.762 (0.765)	Data 0.001 (0.002)	Loss 1.7813 (1.9153)	Prec@1 51.562 (50.333)	Prec@5 82.812 (80.182)
Epoch: [62][6760/14090]	Time 0.881 (0.765)	Data 0.001 (0.002)	Loss 1.8964 (1.9152)	Prec@1 57.031 (50.337)	Prec@5 76.562 (80.185)
Epoch: [62][6770/14090]	Time 0.776 (0.765)	Data 0.001 (0.002)	Loss 1.8653 (1.9152)	Prec@1 52.344 (50.339)	Prec@5 80.469 (80.183)
Epoch: [62][6780/14090]	Time 0.748 (0.765)	Data 0.001 (0.002)	Loss 1.9049 (1.9153)	Prec@1 50.781 (50.339)	Prec@5 80.469 (80.182)
Epoch: [62][6790/14090]	Time 0.752 (0.765)	Data 0.001 (0.002)	Loss 1.8392 (1.9153)	Prec@1 53.125 (50.336)	Prec@5 80.469 (80.182)
Epoch: [62][6800/14090]	Time 0.738 (0.765)	Data 0.001 (0.002)	Loss 1.9928 (1.9154)	Prec@1 54.688 (50.337)	Prec@5 77.344 (80.182)
Epoch: [62][6810/14090]	Time 0.756 (0.765)	Data 0.001 (0.002)	Loss 1.7195 (1.9152)	Prec@1 53.125 (50.341)	Prec@5 83.594 (80.184)
Epoch: [62][6820/14090]	Time 0.746 (0.765)	Data 0.001 (0.002)	Loss 2.0338 (1.9152)	Prec@1 41.406 (50.338)	Prec@5 77.344 (80.184)
Epoch: [62][6830/14090]	Time 0.883 (0.765)	Data 0.001 (0.002)	Loss 1.7502 (1.9152)	Prec@1 46.875 (50.337)	Prec@5 85.156 (80.185)
Epoch: [62][6840/14090]	Time 0.729 (0.765)	Data 0.001 (0.002)	Loss 2.1688 (1.9153)	Prec@1 39.062 (50.334)	Prec@5 75.000 (80.183)
Epoch: [62][6850/14090]	Time 0.743 (0.765)	Data 0.001 (0.002)	Loss 2.0827 (1.9154)	Prec@1 48.438 (50.334)	Prec@5 76.562 (80.181)
Epoch: [62][6860/14090]	Time 0.756 (0.765)	Data 0.001 (0.002)	Loss 2.0179 (1.9153)	Prec@1 48.438 (50.337)	Prec@5 74.219 (80.179)
Epoch: [62][6870/14090]	Time 0.767 (0.765)	Data 0.001 (0.002)	Loss 1.9649 (1.9153)	Prec@1 46.875 (50.337)	Prec@5 79.688 (80.180)
Epoch: [62][6880/14090]	Time 0.754 (0.765)	Data 0.001 (0.002)	Loss 1.8195 (1.9153)	Prec@1 50.781 (50.338)	Prec@5 84.375 (80.182)
Epoch: [62][6890/14090]	Time 0.736 (0.765)	Data 0.001 (0.002)	Loss 2.0274 (1.9153)	Prec@1 46.875 (50.336)	Prec@5 79.688 (80.184)
Epoch: [62][6900/14090]	Time 0.850 (0.765)	Data 0.001 (0.002)	Loss 1.8393 (1.9153)	Prec@1 57.812 (50.336)	Prec@5 85.156 (80.184)
Epoch: [62][6910/14090]	Time 0.750 (0.765)	Data 0.001 (0.002)	Loss 1.8668 (1.9155)	Prec@1 46.875 (50.333)	Prec@5 79.688 (80.182)
Epoch: [62][6920/14090]	Time 0.762 (0.765)	Data 0.001 (0.002)	Loss 2.2754 (1.9154)	Prec@1 47.656 (50.335)	Prec@5 72.656 (80.181)
Epoch: [62][6930/14090]	Time 0.725 (0.765)	Data 0.001 (0.002)	Loss 1.7645 (1.9155)	Prec@1 51.562 (50.334)	Prec@5 84.375 (80.180)
Epoch: [62][6940/14090]	Time 0.734 (0.765)	Data 0.001 (0.002)	Loss 2.0365 (1.9156)	Prec@1 45.312 (50.332)	Prec@5 75.000 (80.177)
Epoch: [62][6950/14090]	Time 0.762 (0.765)	Data 0.001 (0.002)	Loss 1.9590 (1.9155)	Prec@1 52.344 (50.331)	Prec@5 78.906 (80.179)
Epoch: [62][6960/14090]	Time 0.720 (0.765)	Data 0.001 (0.002)	Loss 1.8698 (1.9154)	Prec@1 49.219 (50.335)	Prec@5 82.812 (80.181)
Epoch: [62][6970/14090]	Time 0.835 (0.765)	Data 0.001 (0.002)	Loss 1.8518 (1.9155)	Prec@1 50.781 (50.334)	Prec@5 80.469 (80.180)
Epoch: [62][6980/14090]	Time 0.738 (0.765)	Data 0.001 (0.002)	Loss 2.0625 (1.9154)	Prec@1 49.219 (50.336)	Prec@5 75.000 (80.181)
Epoch: [62][6990/14090]	Time 0.751 (0.765)	Data 0.001 (0.002)	Loss 1.8791 (1.9154)	Prec@1 52.344 (50.336)	Prec@5 85.938 (80.181)
Epoch: [62][7000/14090]	Time 0.738 (0.765)	Data 0.001 (0.002)	Loss 1.9933 (1.9155)	Prec@1 46.094 (50.335)	Prec@5 78.125 (80.181)
Epoch: [62][7010/14090]	Time 0.736 (0.765)	Data 0.001 (0.002)	Loss 1.7965 (1.9154)	Prec@1 51.562 (50.337)	Prec@5 81.250 (80.181)
Epoch: [62][7020/14090]	Time 0.759 (0.765)	Data 0.001 (0.002)	Loss 1.8466 (1.9155)	Prec@1 47.656 (50.335)	Prec@5 86.719 (80.182)
Epoch: [62][7030/14090]	Time 0.750 (0.765)	Data 0.001 (0.002)	Loss 1.8387 (1.9154)	Prec@1 50.781 (50.336)	Prec@5 80.469 (80.184)
Epoch: [62][7040/14090]	Time 0.859 (0.765)	Data 0.001 (0.002)	Loss 1.9584 (1.9154)	Prec@1 50.781 (50.337)	Prec@5 77.344 (80.183)
Epoch: [62][7050/14090]	Time 0.749 (0.765)	Data 0.001 (0.002)	Loss 1.8473 (1.9153)	Prec@1 53.906 (50.340)	Prec@5 82.031 (80.185)
Epoch: [62][7060/14090]	Time 0.761 (0.765)	Data 0.001 (0.002)	Loss 1.9949 (1.9153)	Prec@1 50.781 (50.342)	Prec@5 80.469 (80.184)
Epoch: [62][7070/14090]	Time 0.753 (0.765)	Data 0.001 (0.002)	Loss 1.8767 (1.9152)	Prec@1 52.344 (50.339)	Prec@5 80.469 (80.184)
Epoch: [62][7080/14090]	Time 0.742 (0.765)	Data 0.001 (0.002)	Loss 1.8741 (1.9153)	Prec@1 52.344 (50.336)	Prec@5 79.688 (80.183)
Epoch: [62][7090/14090]	Time 0.754 (0.765)	Data 0.001 (0.002)	Loss 2.0131 (1.9152)	Prec@1 48.438 (50.340)	Prec@5 77.344 (80.185)
Epoch: [62][7100/14090]	Time 0.753 (0.765)	Data 0.001 (0.002)	Loss 1.9396 (1.9151)	Prec@1 47.656 (50.339)	Prec@5 82.031 (80.187)
Epoch: [62][7110/14090]	Time 0.898 (0.765)	Data 0.001 (0.002)	Loss 1.7832 (1.9151)	Prec@1 51.562 (50.337)	Prec@5 81.250 (80.187)
Epoch: [62][7120/14090]	Time 0.730 (0.765)	Data 0.001 (0.002)	Loss 2.0183 (1.9151)	Prec@1 44.531 (50.338)	Prec@5 80.469 (80.187)
Epoch: [62][7130/14090]	Time 0.740 (0.765)	Data 0.001 (0.002)	Loss 1.9861 (1.9151)	Prec@1 49.219 (50.338)	Prec@5 78.906 (80.185)
Epoch: [62][7140/14090]	Time 0.740 (0.765)	Data 0.001 (0.002)	Loss 2.1563 (1.9153)	Prec@1 41.406 (50.337)	Prec@5 77.344 (80.182)
Epoch: [62][7150/14090]	Time 0.737 (0.765)	Data 0.001 (0.002)	Loss 1.9766 (1.9153)	Prec@1 48.438 (50.339)	Prec@5 80.469 (80.184)
Epoch: [62][7160/14090]	Time 0.726 (0.765)	Data 0.001 (0.002)	Loss 1.7366 (1.9152)	Prec@1 46.875 (50.339)	Prec@5 86.719 (80.185)
Epoch: [62][7170/14090]	Time 0.726 (0.765)	Data 0.001 (0.002)	Loss 1.8554 (1.9153)	Prec@1 50.000 (50.337)	Prec@5 80.469 (80.183)
Epoch: [62][7180/14090]	Time 0.825 (0.765)	Data 0.001 (0.002)	Loss 2.2095 (1.9154)	Prec@1 50.781 (50.336)	Prec@5 78.906 (80.183)
Epoch: [62][7190/14090]	Time 0.782 (0.765)	Data 0.001 (0.002)	Loss 2.2309 (1.9154)	Prec@1 46.094 (50.337)	Prec@5 74.219 (80.182)
Epoch: [62][7200/14090]	Time 0.739 (0.765)	Data 0.001 (0.002)	Loss 1.7351 (1.9153)	Prec@1 51.562 (50.341)	Prec@5 85.156 (80.183)
Epoch: [62][7210/14090]	Time 0.734 (0.765)	Data 0.001 (0.002)	Loss 2.2146 (1.9153)	Prec@1 42.188 (50.342)	Prec@5 75.000 (80.183)
Epoch: [62][7220/14090]	Time 0.759 (0.765)	Data 0.001 (0.002)	Loss 2.0638 (1.9154)	Prec@1 47.656 (50.341)	Prec@5 75.000 (80.181)
Epoch: [62][7230/14090]	Time 0.753 (0.765)	Data 0.001 (0.002)	Loss 1.8390 (1.9153)	Prec@1 55.469 (50.342)	Prec@5 81.250 (80.184)
Epoch: [62][7240/14090]	Time 0.769 (0.765)	Data 0.001 (0.002)	Loss 2.0068 (1.9153)	Prec@1 53.125 (50.342)	Prec@5 82.812 (80.183)
Epoch: [62][7250/14090]	Time 0.871 (0.765)	Data 0.001 (0.002)	Loss 2.0183 (1.9153)	Prec@1 50.781 (50.344)	Prec@5 76.562 (80.185)
Epoch: [62][7260/14090]	Time 0.735 (0.765)	Data 0.001 (0.002)	Loss 1.9180 (1.9152)	Prec@1 48.438 (50.346)	Prec@5 79.688 (80.187)
Epoch: [62][7270/14090]	Time 0.732 (0.765)	Data 0.001 (0.002)	Loss 1.8171 (1.9152)	Prec@1 54.688 (50.346)	Prec@5 79.688 (80.186)
Epoch: [62][7280/14090]	Time 0.745 (0.765)	Data 0.001 (0.002)	Loss 2.1910 (1.9154)	Prec@1 43.750 (50.341)	Prec@5 76.562 (80.184)
Epoch: [62][7290/14090]	Time 0.738 (0.765)	Data 0.001 (0.002)	Loss 1.6602 (1.9155)	Prec@1 54.688 (50.340)	Prec@5 87.500 (80.186)
Epoch: [62][7300/14090]	Time 0.734 (0.765)	Data 0.001 (0.002)	Loss 1.9191 (1.9154)	Prec@1 53.125 (50.341)	Prec@5 82.031 (80.188)
Epoch: [62][7310/14090]	Time 0.745 (0.765)	Data 0.001 (0.002)	Loss 2.0754 (1.9155)	Prec@1 50.000 (50.341)	Prec@5 73.438 (80.187)
Epoch: [62][7320/14090]	Time 0.854 (0.765)	Data 0.001 (0.002)	Loss 1.8850 (1.9154)	Prec@1 48.438 (50.342)	Prec@5 81.250 (80.189)
Epoch: [62][7330/14090]	Time 0.730 (0.765)	Data 0.001 (0.002)	Loss 1.9674 (1.9153)	Prec@1 42.969 (50.346)	Prec@5 83.594 (80.192)
Epoch: [62][7340/14090]	Time 0.728 (0.765)	Data 0.001 (0.002)	Loss 2.0041 (1.9153)	Prec@1 41.406 (50.345)	Prec@5 77.344 (80.189)
Epoch: [62][7350/14090]	Time 0.782 (0.765)	Data 0.001 (0.002)	Loss 1.8808 (1.9154)	Prec@1 51.562 (50.345)	Prec@5 79.688 (80.191)
Epoch: [62][7360/14090]	Time 0.728 (0.765)	Data 0.001 (0.002)	Loss 1.7939 (1.9153)	Prec@1 46.875 (50.345)	Prec@5 83.594 (80.192)
Epoch: [62][7370/14090]	Time 0.773 (0.765)	Data 0.001 (0.002)	Loss 1.8851 (1.9153)	Prec@1 51.562 (50.346)	Prec@5 79.688 (80.193)
Epoch: [62][7380/14090]	Time 0.740 (0.765)	Data 0.001 (0.002)	Loss 1.8405 (1.9152)	Prec@1 52.344 (50.348)	Prec@5 82.031 (80.192)
Epoch: [62][7390/14090]	Time 0.859 (0.765)	Data 0.001 (0.002)	Loss 1.9239 (1.9153)	Prec@1 46.875 (50.347)	Prec@5 82.031 (80.192)
Epoch: [62][7400/14090]	Time 0.761 (0.765)	Data 0.001 (0.002)	Loss 1.7164 (1.9152)	Prec@1 55.469 (50.347)	Prec@5 81.250 (80.191)
Epoch: [62][7410/14090]	Time 0.769 (0.765)	Data 0.001 (0.002)	Loss 1.8246 (1.9153)	Prec@1 50.000 (50.345)	Prec@5 81.250 (80.191)
Epoch: [62][7420/14090]	Time 0.760 (0.765)	Data 0.001 (0.002)	Loss 1.9076 (1.9154)	Prec@1 50.781 (50.342)	Prec@5 75.781 (80.188)
Epoch: [62][7430/14090]	Time 0.747 (0.765)	Data 0.001 (0.002)	Loss 2.1821 (1.9154)	Prec@1 44.531 (50.340)	Prec@5 75.781 (80.188)
Epoch: [62][7440/14090]	Time 0.723 (0.765)	Data 0.001 (0.002)	Loss 2.1302 (1.9154)	Prec@1 43.750 (50.339)	Prec@5 74.219 (80.187)
Epoch: [62][7450/14090]	Time 0.760 (0.765)	Data 0.001 (0.002)	Loss 1.9600 (1.9153)	Prec@1 51.562 (50.340)	Prec@5 77.344 (80.188)
Epoch: [62][7460/14090]	Time 0.889 (0.765)	Data 0.001 (0.002)	Loss 1.8813 (1.9154)	Prec@1 46.875 (50.338)	Prec@5 81.250 (80.188)
Epoch: [62][7470/14090]	Time 0.741 (0.765)	Data 0.001 (0.002)	Loss 1.7554 (1.9154)	Prec@1 58.594 (50.337)	Prec@5 78.906 (80.187)
Epoch: [62][7480/14090]	Time 0.752 (0.765)	Data 0.001 (0.002)	Loss 2.1518 (1.9155)	Prec@1 46.875 (50.336)	Prec@5 79.688 (80.187)
Epoch: [62][7490/14090]	Time 0.740 (0.765)	Data 0.001 (0.002)	Loss 1.8733 (1.9155)	Prec@1 54.688 (50.335)	Prec@5 82.031 (80.186)
Epoch: [62][7500/14090]	Time 0.748 (0.765)	Data 0.001 (0.002)	Loss 2.1009 (1.9155)	Prec@1 45.312 (50.336)	Prec@5 76.562 (80.185)
Epoch: [62][7510/14090]	Time 0.726 (0.765)	Data 0.001 (0.002)	Loss 1.8492 (1.9157)	Prec@1 54.688 (50.335)	Prec@5 82.031 (80.182)
Epoch: [62][7520/14090]	Time 0.733 (0.765)	Data 0.001 (0.002)	Loss 2.1545 (1.9157)	Prec@1 44.531 (50.335)	Prec@5 80.469 (80.183)
Epoch: [62][7530/14090]	Time 0.847 (0.765)	Data 0.001 (0.002)	Loss 1.8663 (1.9157)	Prec@1 49.219 (50.337)	Prec@5 78.906 (80.182)
Epoch: [62][7540/14090]	Time 0.726 (0.765)	Data 0.001 (0.002)	Loss 1.9344 (1.9158)	Prec@1 46.875 (50.335)	Prec@5 82.031 (80.182)
Epoch: [62][7550/14090]	Time 0.725 (0.765)	Data 0.001 (0.002)	Loss 1.9047 (1.9157)	Prec@1 51.562 (50.339)	Prec@5 81.250 (80.182)
Epoch: [62][7560/14090]	Time 0.737 (0.765)	Data 0.001 (0.002)	Loss 2.0046 (1.9157)	Prec@1 43.750 (50.338)	Prec@5 76.562 (80.181)
Epoch: [62][7570/14090]	Time 0.749 (0.765)	Data 0.001 (0.002)	Loss 1.7316 (1.9158)	Prec@1 53.125 (50.340)	Prec@5 84.375 (80.181)
Epoch: [62][7580/14090]	Time 0.765 (0.765)	Data 0.001 (0.002)	Loss 2.0799 (1.9157)	Prec@1 46.094 (50.340)	Prec@5 78.906 (80.181)
Epoch: [62][7590/14090]	Time 0.773 (0.765)	Data 0.002 (0.002)	Loss 2.1896 (1.9157)	Prec@1 47.656 (50.342)	Prec@5 76.562 (80.181)
Epoch: [62][7600/14090]	Time 0.905 (0.765)	Data 0.001 (0.002)	Loss 2.0990 (1.9157)	Prec@1 40.625 (50.341)	Prec@5 80.469 (80.181)
Epoch: [62][7610/14090]	Time 0.760 (0.765)	Data 0.001 (0.002)	Loss 2.0275 (1.9156)	Prec@1 44.531 (50.343)	Prec@5 84.375 (80.182)
Epoch: [62][7620/14090]	Time 0.749 (0.765)	Data 0.001 (0.002)	Loss 2.2155 (1.9156)	Prec@1 45.312 (50.345)	Prec@5 76.562 (80.183)
Epoch: [62][7630/14090]	Time 0.749 (0.765)	Data 0.001 (0.002)	Loss 1.8859 (1.9156)	Prec@1 50.781 (50.346)	Prec@5 81.250 (80.184)
Epoch: [62][7640/14090]	Time 0.724 (0.765)	Data 0.001 (0.002)	Loss 1.8802 (1.9154)	Prec@1 51.562 (50.349)	Prec@5 82.812 (80.187)
Epoch: [62][7650/14090]	Time 0.722 (0.765)	Data 0.001 (0.002)	Loss 1.8537 (1.9155)	Prec@1 51.562 (50.346)	Prec@5 78.906 (80.185)
Epoch: [62][7660/14090]	Time 0.725 (0.765)	Data 0.001 (0.002)	Loss 1.8380 (1.9155)	Prec@1 54.688 (50.346)	Prec@5 83.594 (80.186)
Epoch: [62][7670/14090]	Time 0.904 (0.765)	Data 0.001 (0.002)	Loss 2.0676 (1.9156)	Prec@1 44.531 (50.342)	Prec@5 82.031 (80.185)
Epoch: [62][7680/14090]	Time 0.746 (0.765)	Data 0.001 (0.002)	Loss 1.8108 (1.9155)	Prec@1 54.688 (50.344)	Prec@5 82.031 (80.186)
Epoch: [62][7690/14090]	Time 0.753 (0.765)	Data 0.001 (0.002)	Loss 2.0261 (1.9155)	Prec@1 44.531 (50.343)	Prec@5 78.906 (80.187)
Epoch: [62][7700/14090]	Time 0.759 (0.765)	Data 0.001 (0.002)	Loss 1.7397 (1.9156)	Prec@1 53.906 (50.338)	Prec@5 85.156 (80.186)
Epoch: [62][7710/14090]	Time 0.743 (0.765)	Data 0.001 (0.002)	Loss 1.9481 (1.9154)	Prec@1 52.344 (50.341)	Prec@5 80.469 (80.189)
Epoch: [62][7720/14090]	Time 0.734 (0.765)	Data 0.001 (0.002)	Loss 1.7732 (1.9153)	Prec@1 50.781 (50.342)	Prec@5 81.250 (80.190)
Epoch: [62][7730/14090]	Time 0.746 (0.765)	Data 0.001 (0.002)	Loss 1.8123 (1.9153)	Prec@1 48.438 (50.339)	Prec@5 82.031 (80.188)
Epoch: [62][7740/14090]	Time 0.859 (0.765)	Data 0.001 (0.002)	Loss 1.8001 (1.9153)	Prec@1 45.312 (50.340)	Prec@5 85.156 (80.189)
Epoch: [62][7750/14090]	Time 0.738 (0.765)	Data 0.001 (0.002)	Loss 1.7382 (1.9152)	Prec@1 50.000 (50.340)	Prec@5 79.688 (80.190)
Epoch: [62][7760/14090]	Time 0.748 (0.765)	Data 0.001 (0.002)	Loss 2.0449 (1.9153)	Prec@1 42.969 (50.338)	Prec@5 75.781 (80.189)
Epoch: [62][7770/14090]	Time 0.727 (0.765)	Data 0.001 (0.002)	Loss 1.6700 (1.9153)	Prec@1 58.594 (50.338)	Prec@5 83.594 (80.189)
Epoch: [62][7780/14090]	Time 0.728 (0.765)	Data 0.001 (0.002)	Loss 1.7648 (1.9154)	Prec@1 59.375 (50.337)	Prec@5 82.812 (80.188)
Epoch: [62][7790/14090]	Time 0.741 (0.765)	Data 0.001 (0.002)	Loss 1.8051 (1.9154)	Prec@1 54.688 (50.336)	Prec@5 81.250 (80.187)
Epoch: [62][7800/14090]	Time 0.756 (0.765)	Data 0.001 (0.002)	Loss 1.6817 (1.9154)	Prec@1 53.125 (50.338)	Prec@5 86.719 (80.187)
Epoch: [62][7810/14090]	Time 0.842 (0.765)	Data 0.001 (0.002)	Loss 2.0724 (1.9154)	Prec@1 42.188 (50.335)	Prec@5 77.344 (80.187)
Epoch: [62][7820/14090]	Time 0.737 (0.765)	Data 0.001 (0.002)	Loss 1.9124 (1.9153)	Prec@1 50.781 (50.336)	Prec@5 81.250 (80.190)
Epoch: [62][7830/14090]	Time 0.739 (0.765)	Data 0.001 (0.002)	Loss 2.0458 (1.9152)	Prec@1 46.094 (50.337)	Prec@5 79.688 (80.192)
Epoch: [62][7840/14090]	Time 0.723 (0.765)	Data 0.001 (0.002)	Loss 1.9296 (1.9153)	Prec@1 48.438 (50.337)	Prec@5 81.250 (80.190)
Epoch: [62][7850/14090]	Time 0.729 (0.765)	Data 0.001 (0.002)	Loss 1.9027 (1.9152)	Prec@1 49.219 (50.338)	Prec@5 79.688 (80.192)
Epoch: [62][7860/14090]	Time 0.733 (0.765)	Data 0.001 (0.002)	Loss 1.6857 (1.9152)	Prec@1 57.031 (50.338)	Prec@5 85.156 (80.192)
Epoch: [62][7870/14090]	Time 0.727 (0.765)	Data 0.001 (0.002)	Loss 2.2001 (1.9152)	Prec@1 45.312 (50.339)	Prec@5 74.219 (80.191)
Epoch: [62][7880/14090]	Time 0.875 (0.765)	Data 0.001 (0.002)	Loss 2.0994 (1.9151)	Prec@1 37.500 (50.338)	Prec@5 81.250 (80.192)
Epoch: [62][7890/14090]	Time 0.725 (0.765)	Data 0.001 (0.002)	Loss 1.7638 (1.9151)	Prec@1 53.125 (50.335)	Prec@5 82.031 (80.194)
Epoch: [62][7900/14090]	Time 0.724 (0.765)	Data 0.001 (0.002)	Loss 2.0146 (1.9151)	Prec@1 50.000 (50.335)	Prec@5 82.812 (80.195)
Epoch: [62][7910/14090]	Time 0.725 (0.765)	Data 0.001 (0.002)	Loss 2.2295 (1.9151)	Prec@1 47.656 (50.334)	Prec@5 72.656 (80.195)
Epoch: [62][7920/14090]	Time 0.741 (0.765)	Data 0.001 (0.002)	Loss 1.9606 (1.9152)	Prec@1 47.656 (50.334)	Prec@5 79.688 (80.195)
Epoch: [62][7930/14090]	Time 0.733 (0.765)	Data 0.001 (0.002)	Loss 1.8053 (1.9151)	Prec@1 56.250 (50.333)	Prec@5 80.469 (80.195)
Epoch: [62][7940/14090]	Time 0.728 (0.765)	Data 0.001 (0.002)	Loss 2.1600 (1.9152)	Prec@1 43.750 (50.330)	Prec@5 80.469 (80.196)
Epoch: [62][7950/14090]	Time 0.894 (0.765)	Data 0.001 (0.002)	Loss 1.8584 (1.9152)	Prec@1 48.438 (50.332)	Prec@5 81.250 (80.197)
Epoch: [62][7960/14090]	Time 0.734 (0.765)	Data 0.001 (0.002)	Loss 1.6619 (1.9151)	Prec@1 57.031 (50.332)	Prec@5 82.031 (80.197)
Epoch: [62][7970/14090]	Time 0.744 (0.765)	Data 0.001 (0.002)	Loss 2.0288 (1.9151)	Prec@1 50.000 (50.334)	Prec@5 73.438 (80.198)
Epoch: [62][7980/14090]	Time 0.723 (0.765)	Data 0.001 (0.002)	Loss 2.0076 (1.9151)	Prec@1 52.344 (50.332)	Prec@5 71.875 (80.196)
Epoch: [62][7990/14090]	Time 0.744 (0.765)	Data 0.001 (0.002)	Loss 1.8127 (1.9151)	Prec@1 56.250 (50.331)	Prec@5 81.250 (80.197)
Epoch: [62][8000/14090]	Time 0.757 (0.765)	Data 0.001 (0.002)	Loss 2.0854 (1.9151)	Prec@1 49.219 (50.333)	Prec@5 78.125 (80.195)
Epoch: [62][8010/14090]	Time 0.749 (0.765)	Data 0.001 (0.002)	Loss 1.7350 (1.9152)	Prec@1 57.812 (50.332)	Prec@5 85.938 (80.196)
Epoch: [62][8020/14090]	Time 0.859 (0.765)	Data 0.001 (0.002)	Loss 2.1069 (1.9152)	Prec@1 50.000 (50.332)	Prec@5 76.562 (80.195)
Epoch: [62][8030/14090]	Time 0.736 (0.765)	Data 0.001 (0.002)	Loss 1.8398 (1.9153)	Prec@1 52.344 (50.332)	Prec@5 78.125 (80.194)
Epoch: [62][8040/14090]	Time 0.733 (0.765)	Data 0.001 (0.002)	Loss 1.8291 (1.9152)	Prec@1 55.469 (50.332)	Prec@5 82.812 (80.195)
Epoch: [62][8050/14090]	Time 0.769 (0.765)	Data 0.001 (0.002)	Loss 1.8889 (1.9153)	Prec@1 51.562 (50.334)	Prec@5 80.469 (80.195)
Epoch: [62][8060/14090]	Time 0.724 (0.765)	Data 0.001 (0.002)	Loss 1.9907 (1.9152)	Prec@1 53.906 (50.334)	Prec@5 79.688 (80.195)
Epoch: [62][8070/14090]	Time 0.760 (0.765)	Data 0.001 (0.002)	Loss 1.7187 (1.9151)	Prec@1 59.375 (50.338)	Prec@5 83.594 (80.199)
Epoch: [62][8080/14090]	Time 0.731 (0.765)	Data 0.001 (0.002)	Loss 1.8807 (1.9151)	Prec@1 44.531 (50.336)	Prec@5 82.812 (80.199)
Epoch: [62][8090/14090]	Time 0.868 (0.765)	Data 0.001 (0.002)	Loss 1.9447 (1.9153)	Prec@1 48.438 (50.331)	Prec@5 78.125 (80.196)
Epoch: [62][8100/14090]	Time 0.763 (0.765)	Data 0.001 (0.002)	Loss 2.0042 (1.9153)	Prec@1 51.562 (50.330)	Prec@5 75.000 (80.194)
Epoch: [62][8110/14090]	Time 0.761 (0.765)	Data 0.001 (0.002)	Loss 2.0817 (1.9153)	Prec@1 42.188 (50.330)	Prec@5 78.125 (80.194)
Epoch: [62][8120/14090]	Time 0.735 (0.765)	Data 0.001 (0.002)	Loss 2.0027 (1.9152)	Prec@1 51.562 (50.335)	Prec@5 77.344 (80.197)
Epoch: [62][8130/14090]	Time 0.755 (0.765)	Data 0.001 (0.002)	Loss 2.0411 (1.9151)	Prec@1 50.781 (50.337)	Prec@5 77.344 (80.196)
Epoch: [62][8140/14090]	Time 0.736 (0.765)	Data 0.001 (0.002)	Loss 2.0798 (1.9151)	Prec@1 47.656 (50.338)	Prec@5 82.031 (80.199)
Epoch: [62][8150/14090]	Time 0.757 (0.765)	Data 0.001 (0.002)	Loss 1.7198 (1.9150)	Prec@1 55.469 (50.338)	Prec@5 85.938 (80.200)
Epoch: [62][8160/14090]	Time 0.863 (0.765)	Data 0.001 (0.002)	Loss 1.6887 (1.9150)	Prec@1 54.688 (50.340)	Prec@5 84.375 (80.202)
Epoch: [62][8170/14090]	Time 0.732 (0.765)	Data 0.001 (0.002)	Loss 2.0068 (1.9150)	Prec@1 53.906 (50.340)	Prec@5 79.688 (80.203)
Epoch: [62][8180/14090]	Time 0.762 (0.765)	Data 0.001 (0.002)	Loss 1.9112 (1.9150)	Prec@1 50.000 (50.339)	Prec@5 80.469 (80.202)
Epoch: [62][8190/14090]	Time 0.776 (0.765)	Data 0.001 (0.002)	Loss 2.0879 (1.9150)	Prec@1 50.781 (50.338)	Prec@5 78.906 (80.202)
Epoch: [62][8200/14090]	Time 0.739 (0.765)	Data 0.001 (0.002)	Loss 2.1061 (1.9150)	Prec@1 46.094 (50.337)	Prec@5 75.781 (80.201)
Epoch: [62][8210/14090]	Time 0.760 (0.765)	Data 0.001 (0.002)	Loss 2.0234 (1.9150)	Prec@1 50.000 (50.339)	Prec@5 78.125 (80.201)
Epoch: [62][8220/14090]	Time 0.735 (0.765)	Data 0.001 (0.002)	Loss 1.9218 (1.9150)	Prec@1 46.875 (50.340)	Prec@5 81.250 (80.202)
Epoch: [62][8230/14090]	Time 0.875 (0.765)	Data 0.001 (0.002)	Loss 1.6643 (1.9149)	Prec@1 53.906 (50.342)	Prec@5 85.156 (80.203)
Epoch: [62][8240/14090]	Time 0.736 (0.765)	Data 0.001 (0.002)	Loss 2.1261 (1.9149)	Prec@1 43.750 (50.342)	Prec@5 76.562 (80.203)
Epoch: [62][8250/14090]	Time 0.739 (0.765)	Data 0.001 (0.002)	Loss 1.6457 (1.9149)	Prec@1 57.031 (50.339)	Prec@5 85.156 (80.202)
Epoch: [62][8260/14090]	Time 0.762 (0.765)	Data 0.001 (0.002)	Loss 1.8411 (1.9150)	Prec@1 50.781 (50.339)	Prec@5 85.938 (80.203)
Epoch: [62][8270/14090]	Time 0.745 (0.765)	Data 0.001 (0.002)	Loss 1.7383 (1.9149)	Prec@1 53.125 (50.341)	Prec@5 80.469 (80.204)
Epoch: [62][8280/14090]	Time 0.760 (0.765)	Data 0.001 (0.002)	Loss 1.5921 (1.9150)	Prec@1 59.375 (50.341)	Prec@5 83.594 (80.204)
Epoch: [62][8290/14090]	Time 0.728 (0.765)	Data 0.001 (0.002)	Loss 1.8404 (1.9149)	Prec@1 53.125 (50.342)	Prec@5 82.031 (80.206)
Epoch: [62][8300/14090]	Time 0.849 (0.765)	Data 0.001 (0.002)	Loss 2.1326 (1.9148)	Prec@1 42.969 (50.341)	Prec@5 77.344 (80.206)
Epoch: [62][8310/14090]	Time 0.732 (0.765)	Data 0.001 (0.002)	Loss 1.7463 (1.9148)	Prec@1 51.562 (50.340)	Prec@5 83.594 (80.207)
Epoch: [62][8320/14090]	Time 0.756 (0.765)	Data 0.001 (0.002)	Loss 1.8455 (1.9148)	Prec@1 52.344 (50.339)	Prec@5 82.812 (80.208)
Epoch: [62][8330/14090]	Time 0.757 (0.765)	Data 0.001 (0.002)	Loss 1.7051 (1.9147)	Prec@1 53.125 (50.341)	Prec@5 80.469 (80.209)
Epoch: [62][8340/14090]	Time 0.751 (0.765)	Data 0.001 (0.002)	Loss 1.8071 (1.9145)	Prec@1 50.000 (50.343)	Prec@5 82.031 (80.210)
Epoch: [62][8350/14090]	Time 0.758 (0.765)	Data 0.001 (0.002)	Loss 1.8355 (1.9145)	Prec@1 52.344 (50.343)	Prec@5 79.688 (80.211)
Epoch: [62][8360/14090]	Time 0.735 (0.765)	Data 0.001 (0.002)	Loss 1.9276 (1.9145)	Prec@1 52.344 (50.344)	Prec@5 78.906 (80.211)
Epoch: [62][8370/14090]	Time 0.844 (0.765)	Data 0.001 (0.002)	Loss 1.8386 (1.9144)	Prec@1 57.031 (50.345)	Prec@5 78.125 (80.212)
Epoch: [62][8380/14090]	Time 0.719 (0.765)	Data 0.001 (0.002)	Loss 2.1934 (1.9144)	Prec@1 40.625 (50.346)	Prec@5 75.781 (80.210)
Epoch: [62][8390/14090]	Time 0.731 (0.765)	Data 0.001 (0.002)	Loss 2.0332 (1.9145)	Prec@1 51.562 (50.344)	Prec@5 77.344 (80.208)
Epoch: [62][8400/14090]	Time 0.726 (0.765)	Data 0.001 (0.002)	Loss 1.7784 (1.9144)	Prec@1 46.875 (50.344)	Prec@5 81.250 (80.209)
Epoch: [62][8410/14090]	Time 0.744 (0.765)	Data 0.001 (0.002)	Loss 1.6087 (1.9145)	Prec@1 57.812 (50.344)	Prec@5 87.500 (80.208)
Epoch: [62][8420/14090]	Time 0.753 (0.765)	Data 0.001 (0.002)	Loss 2.1721 (1.9145)	Prec@1 40.625 (50.343)	Prec@5 75.000 (80.206)
Epoch: [62][8430/14090]	Time 0.769 (0.765)	Data 0.001 (0.002)	Loss 1.9200 (1.9146)	Prec@1 46.875 (50.340)	Prec@5 78.906 (80.205)
Epoch: [62][8440/14090]	Time 0.881 (0.765)	Data 0.001 (0.002)	Loss 1.9853 (1.9145)	Prec@1 53.125 (50.343)	Prec@5 81.250 (80.205)
Epoch: [62][8450/14090]	Time 0.735 (0.765)	Data 0.001 (0.002)	Loss 1.9591 (1.9145)	Prec@1 46.094 (50.344)	Prec@5 79.688 (80.204)
Epoch: [62][8460/14090]	Time 0.732 (0.765)	Data 0.001 (0.002)	Loss 1.9354 (1.9145)	Prec@1 50.781 (50.344)	Prec@5 78.906 (80.205)
Epoch: [62][8470/14090]	Time 0.750 (0.765)	Data 0.001 (0.002)	Loss 2.0959 (1.9144)	Prec@1 42.188 (50.345)	Prec@5 77.344 (80.206)
Epoch: [62][8480/14090]	Time 0.742 (0.765)	Data 0.001 (0.002)	Loss 1.6969 (1.9143)	Prec@1 57.031 (50.348)	Prec@5 85.938 (80.208)
Epoch: [62][8490/14090]	Time 0.729 (0.765)	Data 0.001 (0.002)	Loss 2.0977 (1.9142)	Prec@1 43.750 (50.349)	Prec@5 75.000 (80.209)
Epoch: [62][8500/14090]	Time 0.738 (0.765)	Data 0.001 (0.002)	Loss 1.7751 (1.9141)	Prec@1 50.781 (50.351)	Prec@5 86.719 (80.210)
Epoch: [62][8510/14090]	Time 0.836 (0.765)	Data 0.001 (0.002)	Loss 1.9104 (1.9142)	Prec@1 45.312 (50.348)	Prec@5 80.469 (80.209)
Epoch: [62][8520/14090]	Time 0.769 (0.765)	Data 0.001 (0.002)	Loss 1.9631 (1.9141)	Prec@1 50.000 (50.349)	Prec@5 78.125 (80.209)
Epoch: [62][8530/14090]	Time 0.728 (0.765)	Data 0.001 (0.002)	Loss 1.6595 (1.9140)	Prec@1 55.469 (50.353)	Prec@5 85.938 (80.210)
Epoch: [62][8540/14090]	Time 0.770 (0.765)	Data 0.001 (0.002)	Loss 1.8531 (1.9141)	Prec@1 49.219 (50.352)	Prec@5 85.938 (80.210)
Epoch: [62][8550/14090]	Time 0.759 (0.765)	Data 0.001 (0.002)	Loss 1.8683 (1.9142)	Prec@1 49.219 (50.351)	Prec@5 82.031 (80.209)
Epoch: [62][8560/14090]	Time 0.747 (0.765)	Data 0.001 (0.002)	Loss 1.8194 (1.9141)	Prec@1 54.688 (50.351)	Prec@5 84.375 (80.211)
Epoch: [62][8570/14090]	Time 0.738 (0.765)	Data 0.001 (0.002)	Loss 1.8594 (1.9142)	Prec@1 46.094 (50.352)	Prec@5 81.250 (80.211)
Epoch: [62][8580/14090]	Time 0.879 (0.765)	Data 0.001 (0.002)	Loss 1.9447 (1.9142)	Prec@1 50.000 (50.352)	Prec@5 81.250 (80.211)
Epoch: [62][8590/14090]	Time 0.752 (0.765)	Data 0.001 (0.002)	Loss 1.6743 (1.9141)	Prec@1 53.125 (50.351)	Prec@5 86.719 (80.211)
Epoch: [62][8600/14090]	Time 0.744 (0.765)	Data 0.001 (0.002)	Loss 2.0539 (1.9141)	Prec@1 46.094 (50.352)	Prec@5 76.562 (80.210)
Epoch: [62][8610/14090]	Time 0.746 (0.765)	Data 0.001 (0.002)	Loss 1.8397 (1.9141)	Prec@1 53.906 (50.352)	Prec@5 83.594 (80.211)
Epoch: [62][8620/14090]	Time 0.724 (0.765)	Data 0.001 (0.002)	Loss 1.6104 (1.9141)	Prec@1 59.375 (50.350)	Prec@5 86.719 (80.212)
Epoch: [62][8630/14090]	Time 0.770 (0.765)	Data 0.001 (0.002)	Loss 1.9439 (1.9141)	Prec@1 52.344 (50.349)	Prec@5 78.125 (80.213)
Epoch: [62][8640/14090]	Time 0.731 (0.765)	Data 0.001 (0.002)	Loss 1.9496 (1.9141)	Prec@1 50.000 (50.347)	Prec@5 78.906 (80.214)
Epoch: [62][8650/14090]	Time 0.864 (0.765)	Data 0.001 (0.002)	Loss 2.0460 (1.9141)	Prec@1 47.656 (50.346)	Prec@5 76.562 (80.214)
Epoch: [62][8660/14090]	Time 0.727 (0.765)	Data 0.001 (0.002)	Loss 1.7364 (1.9142)	Prec@1 50.000 (50.344)	Prec@5 82.812 (80.214)
Epoch: [62][8670/14090]	Time 0.748 (0.765)	Data 0.001 (0.002)	Loss 1.7485 (1.9141)	Prec@1 57.812 (50.347)	Prec@5 82.812 (80.215)
Epoch: [62][8680/14090]	Time 0.779 (0.765)	Data 0.001 (0.002)	Loss 1.8969 (1.9141)	Prec@1 52.344 (50.348)	Prec@5 84.375 (80.216)
Epoch: [62][8690/14090]	Time 0.744 (0.765)	Data 0.001 (0.002)	Loss 2.0795 (1.9140)	Prec@1 46.875 (50.348)	Prec@5 76.562 (80.217)
Epoch: [62][8700/14090]	Time 0.720 (0.765)	Data 0.001 (0.002)	Loss 1.7615 (1.9141)	Prec@1 54.688 (50.347)	Prec@5 85.156 (80.216)
Epoch: [62][8710/14090]	Time 0.759 (0.765)	Data 0.001 (0.002)	Loss 2.0425 (1.9141)	Prec@1 46.875 (50.346)	Prec@5 78.906 (80.215)
Epoch: [62][8720/14090]	Time 0.852 (0.765)	Data 0.001 (0.002)	Loss 1.9267 (1.9141)	Prec@1 45.312 (50.346)	Prec@5 80.469 (80.216)
Epoch: [62][8730/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 1.9069 (1.9141)	Prec@1 51.562 (50.346)	Prec@5 82.812 (80.216)
Epoch: [62][8740/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 1.6448 (1.9141)	Prec@1 53.906 (50.345)	Prec@5 86.719 (80.215)
Epoch: [62][8750/14090]	Time 0.788 (0.765)	Data 0.001 (0.001)	Loss 1.8585 (1.9140)	Prec@1 54.688 (50.347)	Prec@5 81.250 (80.216)
Epoch: [62][8760/14090]	Time 0.738 (0.765)	Data 0.002 (0.001)	Loss 2.0385 (1.9140)	Prec@1 48.438 (50.347)	Prec@5 72.656 (80.217)
Epoch: [62][8770/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 1.8892 (1.9140)	Prec@1 50.000 (50.347)	Prec@5 78.906 (80.217)
Epoch: [62][8780/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 1.8518 (1.9140)	Prec@1 56.250 (50.345)	Prec@5 76.562 (80.215)
Epoch: [62][8790/14090]	Time 0.892 (0.765)	Data 0.001 (0.001)	Loss 1.8248 (1.9141)	Prec@1 50.000 (50.343)	Prec@5 82.812 (80.214)
Epoch: [62][8800/14090]	Time 0.740 (0.765)	Data 0.003 (0.001)	Loss 1.8497 (1.9141)	Prec@1 50.781 (50.342)	Prec@5 82.812 (80.214)
Epoch: [62][8810/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 1.8247 (1.9141)	Prec@1 53.906 (50.340)	Prec@5 80.469 (80.215)
Epoch: [62][8820/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 1.9535 (1.9141)	Prec@1 50.000 (50.340)	Prec@5 79.688 (80.216)
Epoch: [62][8830/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 1.8323 (1.9141)	Prec@1 55.469 (50.341)	Prec@5 80.469 (80.216)
Epoch: [62][8840/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 1.8056 (1.9141)	Prec@1 48.438 (50.341)	Prec@5 86.719 (80.217)
Epoch: [62][8850/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 1.8567 (1.9140)	Prec@1 51.562 (50.343)	Prec@5 75.000 (80.217)
Epoch: [62][8860/14090]	Time 0.850 (0.765)	Data 0.001 (0.001)	Loss 1.7222 (1.9140)	Prec@1 55.469 (50.344)	Prec@5 88.281 (80.218)
Epoch: [62][8870/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 1.5528 (1.9139)	Prec@1 53.125 (50.345)	Prec@5 85.156 (80.219)
Epoch: [62][8880/14090]	Time 0.785 (0.765)	Data 0.001 (0.001)	Loss 1.9006 (1.9139)	Prec@1 50.781 (50.344)	Prec@5 83.594 (80.218)
Epoch: [62][8890/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 1.9095 (1.9139)	Prec@1 48.438 (50.344)	Prec@5 78.906 (80.219)
Epoch: [62][8900/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 1.8630 (1.9140)	Prec@1 52.344 (50.343)	Prec@5 84.375 (80.217)
Epoch: [62][8910/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 1.6759 (1.9140)	Prec@1 65.625 (50.344)	Prec@5 81.250 (80.217)
Epoch: [62][8920/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 1.8107 (1.9140)	Prec@1 50.781 (50.343)	Prec@5 82.031 (80.218)
Epoch: [62][8930/14090]	Time 0.869 (0.765)	Data 0.001 (0.001)	Loss 1.8177 (1.9139)	Prec@1 50.000 (50.342)	Prec@5 83.594 (80.218)
Epoch: [62][8940/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 1.8934 (1.9140)	Prec@1 53.906 (50.340)	Prec@5 82.812 (80.217)
Epoch: [62][8950/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.0995 (1.9140)	Prec@1 49.219 (50.339)	Prec@5 75.781 (80.216)
Epoch: [62][8960/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.0884 (1.9140)	Prec@1 41.406 (50.338)	Prec@5 75.781 (80.215)
Epoch: [62][8970/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.0343 (1.9140)	Prec@1 47.656 (50.339)	Prec@5 77.344 (80.216)
Epoch: [62][8980/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 1.7704 (1.9140)	Prec@1 53.125 (50.339)	Prec@5 86.719 (80.217)
Epoch: [62][8990/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.0588 (1.9141)	Prec@1 49.219 (50.337)	Prec@5 78.125 (80.216)
Epoch: [62][9000/14090]	Time 0.880 (0.765)	Data 0.001 (0.001)	Loss 1.6967 (1.9142)	Prec@1 51.562 (50.335)	Prec@5 82.031 (80.215)
Epoch: [62][9010/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 1.6912 (1.9141)	Prec@1 57.812 (50.336)	Prec@5 84.375 (80.216)
Epoch: [62][9020/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 1.8866 (1.9142)	Prec@1 52.344 (50.337)	Prec@5 78.906 (80.215)
Epoch: [62][9030/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 1.7796 (1.9141)	Prec@1 50.000 (50.337)	Prec@5 85.938 (80.217)
Epoch: [62][9040/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 1.9159 (1.9140)	Prec@1 52.344 (50.339)	Prec@5 79.688 (80.217)
Epoch: [62][9050/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 1.8358 (1.9141)	Prec@1 58.594 (50.338)	Prec@5 80.469 (80.217)
Epoch: [62][9060/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.0467 (1.9141)	Prec@1 48.438 (50.339)	Prec@5 74.219 (80.214)
Epoch: [62][9070/14090]	Time 0.857 (0.765)	Data 0.001 (0.001)	Loss 1.9175 (1.9142)	Prec@1 53.906 (50.339)	Prec@5 81.250 (80.213)
Epoch: [62][9080/14090]	Time 0.788 (0.765)	Data 0.001 (0.001)	Loss 2.0718 (1.9143)	Prec@1 44.531 (50.337)	Prec@5 75.781 (80.211)
Epoch: [62][9090/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 1.9765 (1.9144)	Prec@1 47.656 (50.335)	Prec@5 79.688 (80.210)
Epoch: [62][9100/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.0630 (1.9144)	Prec@1 44.531 (50.332)	Prec@5 75.000 (80.210)
Epoch: [62][9110/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 1.8551 (1.9145)	Prec@1 50.000 (50.332)	Prec@5 84.375 (80.210)
Epoch: [62][9120/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 1.8597 (1.9145)	Prec@1 52.344 (50.333)	Prec@5 81.250 (80.209)
Epoch: [62][9130/14090]	Time 0.766 (0.765)	Data 0.001 (0.001)	Loss 1.6019 (1.9144)	Prec@1 58.594 (50.335)	Prec@5 87.500 (80.210)
Epoch: [62][9140/14090]	Time 0.878 (0.765)	Data 0.001 (0.001)	Loss 2.1013 (1.9144)	Prec@1 46.094 (50.335)	Prec@5 78.906 (80.210)
Epoch: [62][9150/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.0980 (1.9144)	Prec@1 43.750 (50.335)	Prec@5 76.562 (80.211)
Epoch: [62][9160/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.1277 (1.9145)	Prec@1 43.750 (50.333)	Prec@5 75.781 (80.208)
Epoch: [62][9170/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 1.9571 (1.9146)	Prec@1 43.750 (50.331)	Prec@5 79.688 (80.206)
Epoch: [62][9180/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 1.8163 (1.9145)	Prec@1 44.531 (50.332)	Prec@5 83.594 (80.209)
Epoch: [62][9190/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 1.9509 (1.9145)	Prec@1 49.219 (50.332)	Prec@5 78.125 (80.209)
Epoch: [62][9200/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 1.8335 (1.9144)	Prec@1 54.688 (50.333)	Prec@5 78.125 (80.210)
Epoch: [62][9210/14090]	Time 0.808 (0.765)	Data 0.001 (0.001)	Loss 1.5981 (1.9143)	Prec@1 55.469 (50.336)	Prec@5 85.938 (80.212)
Epoch: [62][9220/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 1.7857 (1.9143)	Prec@1 51.562 (50.336)	Prec@5 85.156 (80.213)
Epoch: [62][9230/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 1.7018 (1.9143)	Prec@1 52.344 (50.336)	Prec@5 85.938 (80.213)
Epoch: [62][9240/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 1.9030 (1.9143)	Prec@1 50.781 (50.336)	Prec@5 82.031 (80.214)
Epoch: [62][9250/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.1393 (1.9143)	Prec@1 48.438 (50.338)	Prec@5 72.656 (80.214)
Epoch: [62][9260/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 1.7653 (1.9143)	Prec@1 53.125 (50.339)	Prec@5 80.469 (80.213)
Epoch: [62][9270/14090]	Time 0.788 (0.765)	Data 0.001 (0.001)	Loss 1.5968 (1.9144)	Prec@1 63.281 (50.339)	Prec@5 85.156 (80.214)
Epoch: [62][9280/14090]	Time 0.934 (0.765)	Data 0.001 (0.001)	Loss 1.9207 (1.9144)	Prec@1 51.562 (50.339)	Prec@5 79.688 (80.214)
Epoch: [62][9290/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.1063 (1.9144)	Prec@1 43.750 (50.336)	Prec@5 74.219 (80.214)
Epoch: [62][9300/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 1.6874 (1.9143)	Prec@1 59.375 (50.338)	Prec@5 84.375 (80.215)
Epoch: [62][9310/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 1.9057 (1.9144)	Prec@1 50.781 (50.337)	Prec@5 82.031 (80.214)
Epoch: [62][9320/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 1.7936 (1.9144)	Prec@1 57.812 (50.337)	Prec@5 78.906 (80.213)
Epoch: [62][9330/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.0039 (1.9145)	Prec@1 44.531 (50.337)	Prec@5 80.469 (80.212)
Epoch: [62][9340/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 1.8009 (1.9144)	Prec@1 49.219 (50.337)	Prec@5 85.938 (80.212)
Epoch: [62][9350/14090]	Time 0.879 (0.765)	Data 0.001 (0.001)	Loss 1.9386 (1.9146)	Prec@1 50.000 (50.335)	Prec@5 78.906 (80.210)
Epoch: [62][9360/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 1.7527 (1.9146)	Prec@1 56.250 (50.335)	Prec@5 81.250 (80.209)
Epoch: [62][9370/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 1.9133 (1.9147)	Prec@1 51.562 (50.335)	Prec@5 80.469 (80.208)
Epoch: [62][9380/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 1.9096 (1.9146)	Prec@1 48.438 (50.337)	Prec@5 84.375 (80.209)
Epoch: [62][9390/14090]	Time 0.721 (0.765)	Data 0.001 (0.001)	Loss 1.8140 (1.9146)	Prec@1 50.781 (50.336)	Prec@5 80.469 (80.211)
Epoch: [62][9400/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.0268 (1.9147)	Prec@1 50.000 (50.336)	Prec@5 79.688 (80.209)
Epoch: [62][9410/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.1185 (1.9148)	Prec@1 42.188 (50.335)	Prec@5 76.562 (80.207)
Epoch: [62][9420/14090]	Time 0.841 (0.765)	Data 0.001 (0.001)	Loss 1.9623 (1.9148)	Prec@1 49.219 (50.336)	Prec@5 79.688 (80.208)
Epoch: [62][9430/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.0392 (1.9147)	Prec@1 46.875 (50.338)	Prec@5 75.781 (80.208)
Epoch: [62][9440/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 1.6742 (1.9147)	Prec@1 60.156 (50.339)	Prec@5 84.375 (80.208)
Epoch: [62][9450/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 1.7926 (1.9147)	Prec@1 50.781 (50.339)	Prec@5 81.250 (80.208)
Epoch: [62][9460/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 1.6926 (1.9147)	Prec@1 57.031 (50.339)	Prec@5 83.594 (80.207)
Epoch: [62][9470/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.1627 (1.9147)	Prec@1 42.188 (50.338)	Prec@5 77.344 (80.205)
Epoch: [62][9480/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 1.8258 (1.9148)	Prec@1 53.906 (50.339)	Prec@5 80.469 (80.204)
Epoch: [62][9490/14090]	Time 0.869 (0.765)	Data 0.001 (0.001)	Loss 1.8304 (1.9147)	Prec@1 53.125 (50.341)	Prec@5 82.031 (80.203)
Epoch: [62][9500/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 1.8708 (1.9148)	Prec@1 54.688 (50.341)	Prec@5 80.469 (80.201)
Epoch: [62][9510/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 1.8769 (1.9148)	Prec@1 53.125 (50.340)	Prec@5 84.375 (80.201)
Epoch: [62][9520/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.1840 (1.9147)	Prec@1 46.094 (50.342)	Prec@5 74.219 (80.202)
Epoch: [62][9530/14090]	Time 0.718 (0.765)	Data 0.001 (0.001)	Loss 1.7944 (1.9146)	Prec@1 57.812 (50.347)	Prec@5 80.469 (80.205)
Epoch: [62][9540/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 1.9131 (1.9147)	Prec@1 50.781 (50.343)	Prec@5 82.812 (80.204)
Epoch: [62][9550/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 1.7344 (1.9147)	Prec@1 56.250 (50.344)	Prec@5 82.031 (80.202)
Epoch: [62][9560/14090]	Time 0.903 (0.765)	Data 0.001 (0.001)	Loss 2.1310 (1.9147)	Prec@1 47.656 (50.344)	Prec@5 75.781 (80.201)
Epoch: [62][9570/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.0080 (1.9146)	Prec@1 48.438 (50.345)	Prec@5 74.219 (80.201)
Epoch: [62][9580/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 1.7121 (1.9146)	Prec@1 52.344 (50.344)	Prec@5 81.250 (80.200)
Epoch: [62][9590/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 1.9718 (1.9146)	Prec@1 53.125 (50.345)	Prec@5 80.469 (80.201)
Epoch: [62][9600/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 1.9521 (1.9146)	Prec@1 49.219 (50.344)	Prec@5 79.688 (80.201)
Epoch: [62][9610/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 1.6976 (1.9145)	Prec@1 57.031 (50.345)	Prec@5 83.594 (80.203)
Epoch: [62][9620/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.0831 (1.9145)	Prec@1 42.969 (50.347)	Prec@5 75.781 (80.202)
Epoch: [62][9630/14090]	Time 0.864 (0.765)	Data 0.001 (0.001)	Loss 1.7471 (1.9145)	Prec@1 52.344 (50.348)	Prec@5 83.594 (80.203)
Epoch: [62][9640/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 1.8885 (1.9145)	Prec@1 53.125 (50.348)	Prec@5 78.125 (80.202)
Epoch: [62][9650/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 1.6420 (1.9145)	Prec@1 57.812 (50.348)	Prec@5 82.812 (80.201)
Epoch: [62][9660/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.1540 (1.9144)	Prec@1 47.656 (50.349)	Prec@5 76.562 (80.201)
Epoch: [62][9670/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 1.9380 (1.9145)	Prec@1 53.906 (50.349)	Prec@5 77.344 (80.199)
Epoch: [62][9680/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 1.8474 (1.9144)	Prec@1 43.750 (50.347)	Prec@5 78.906 (80.199)
Epoch: [62][9690/14090]	Time 0.768 (0.765)	Data 0.001 (0.001)	Loss 1.6403 (1.9145)	Prec@1 51.562 (50.347)	Prec@5 86.719 (80.200)
Epoch: [62][9700/14090]	Time 0.830 (0.765)	Data 0.001 (0.001)	Loss 1.7800 (1.9144)	Prec@1 53.125 (50.349)	Prec@5 81.250 (80.202)
Epoch: [62][9710/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 1.7116 (1.9143)	Prec@1 52.344 (50.350)	Prec@5 82.812 (80.203)
Epoch: [62][9720/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.0118 (1.9142)	Prec@1 47.656 (50.352)	Prec@5 76.562 (80.203)
Epoch: [62][9730/14090]	Time 0.778 (0.765)	Data 0.001 (0.001)	Loss 2.0794 (1.9143)	Prec@1 48.438 (50.352)	Prec@5 75.781 (80.203)
Epoch: [62][9740/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 1.9640 (1.9142)	Prec@1 48.438 (50.355)	Prec@5 76.562 (80.202)
Epoch: [62][9750/14090]	Time 0.769 (0.765)	Data 0.001 (0.001)	Loss 1.5230 (1.9141)	Prec@1 61.719 (50.356)	Prec@5 85.938 (80.204)
Epoch: [62][9760/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.0044 (1.9141)	Prec@1 50.000 (50.356)	Prec@5 76.562 (80.201)
Epoch: [62][9770/14090]	Time 0.867 (0.765)	Data 0.001 (0.001)	Loss 2.0811 (1.9142)	Prec@1 45.312 (50.354)	Prec@5 75.781 (80.201)
Epoch: [62][9780/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 1.7407 (1.9142)	Prec@1 55.469 (50.354)	Prec@5 82.031 (80.201)
Epoch: [62][9790/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.1630 (1.9142)	Prec@1 51.562 (50.353)	Prec@5 77.344 (80.200)
Epoch: [62][9800/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 1.8789 (1.9142)	Prec@1 54.688 (50.351)	Prec@5 78.125 (80.200)
Epoch: [62][9810/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 1.9610 (1.9142)	Prec@1 48.438 (50.352)	Prec@5 75.781 (80.199)
Epoch: [62][9820/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.1569 (1.9142)	Prec@1 48.438 (50.352)	Prec@5 75.781 (80.201)
Epoch: [62][9830/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 1.8236 (1.9142)	Prec@1 50.781 (50.352)	Prec@5 82.031 (80.201)
Epoch: [62][9840/14090]	Time 0.997 (0.765)	Data 0.001 (0.001)	Loss 1.5547 (1.9141)	Prec@1 60.156 (50.353)	Prec@5 85.156 (80.202)
Epoch: [62][9850/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 1.8997 (1.9141)	Prec@1 51.562 (50.352)	Prec@5 80.469 (80.202)
Epoch: [62][9860/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 1.7989 (1.9141)	Prec@1 52.344 (50.352)	Prec@5 84.375 (80.203)
Epoch: [62][9870/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 1.8076 (1.9140)	Prec@1 50.000 (50.353)	Prec@5 80.469 (80.203)
Epoch: [62][9880/14090]	Time 0.777 (0.765)	Data 0.001 (0.001)	Loss 1.8109 (1.9141)	Prec@1 50.000 (50.351)	Prec@5 86.719 (80.204)
Epoch: [62][9890/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.0440 (1.9141)	Prec@1 51.562 (50.352)	Prec@5 74.219 (80.205)
Epoch: [62][9900/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 1.8109 (1.9140)	Prec@1 53.906 (50.354)	Prec@5 79.688 (80.205)
Epoch: [62][9910/14090]	Time 0.927 (0.765)	Data 0.001 (0.001)	Loss 1.9061 (1.9140)	Prec@1 50.000 (50.355)	Prec@5 81.250 (80.206)
Epoch: [62][9920/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 1.7204 (1.9140)	Prec@1 52.344 (50.355)	Prec@5 82.812 (80.207)
Epoch: [62][9930/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 1.8917 (1.9140)	Prec@1 50.000 (50.356)	Prec@5 80.469 (80.206)
Epoch: [62][9940/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 1.8388 (1.9141)	Prec@1 54.688 (50.356)	Prec@5 80.469 (80.205)
Epoch: [62][9950/14090]	Time 0.721 (0.765)	Data 0.001 (0.001)	Loss 1.4187 (1.9139)	Prec@1 63.281 (50.358)	Prec@5 86.719 (80.208)
Epoch: [62][9960/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 1.8215 (1.9140)	Prec@1 52.344 (50.357)	Prec@5 82.031 (80.206)
Epoch: [62][9970/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 1.7855 (1.9139)	Prec@1 53.125 (50.360)	Prec@5 83.594 (80.206)
Epoch: [62][9980/14090]	Time 0.847 (0.765)	Data 0.001 (0.001)	Loss 1.8482 (1.9139)	Prec@1 50.000 (50.360)	Prec@5 83.594 (80.208)
Epoch: [62][9990/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.2990 (1.9139)	Prec@1 43.750 (50.360)	Prec@5 71.094 (80.208)
Epoch: [62][10000/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 1.9959 (1.9139)	Prec@1 50.000 (50.360)	Prec@5 81.250 (80.208)
Epoch: [62][10010/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 1.7511 (1.9138)	Prec@1 49.219 (50.359)	Prec@5 88.281 (80.209)
Epoch: [62][10020/14090]	Time 0.768 (0.765)	Data 0.001 (0.001)	Loss 2.0187 (1.9138)	Prec@1 50.781 (50.359)	Prec@5 75.781 (80.209)
Epoch: [62][10030/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 1.7948 (1.9137)	Prec@1 53.125 (50.362)	Prec@5 79.688 (80.210)
Epoch: [62][10040/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.0337 (1.9138)	Prec@1 55.469 (50.362)	Prec@5 77.344 (80.209)
Epoch: [62][10050/14090]	Time 0.862 (0.765)	Data 0.001 (0.001)	Loss 2.0318 (1.9137)	Prec@1 48.438 (50.364)	Prec@5 78.125 (80.210)
Epoch: [62][10060/14090]	Time 0.767 (0.765)	Data 0.001 (0.001)	Loss 2.0656 (1.9137)	Prec@1 45.312 (50.362)	Prec@5 75.781 (80.210)
Epoch: [62][10070/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 1.8654 (1.9137)	Prec@1 50.781 (50.362)	Prec@5 82.812 (80.209)
Epoch: [62][10080/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 1.9894 (1.9137)	Prec@1 46.094 (50.361)	Prec@5 76.562 (80.209)
Epoch: [62][10090/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 1.8989 (1.9137)	Prec@1 46.875 (50.361)	Prec@5 77.344 (80.210)
Epoch: [62][10100/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 1.9593 (1.9136)	Prec@1 47.656 (50.360)	Prec@5 82.031 (80.210)
Epoch: [62][10110/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 1.9411 (1.9135)	Prec@1 42.969 (50.361)	Prec@5 78.906 (80.212)
Epoch: [62][10120/14090]	Time 0.883 (0.765)	Data 0.001 (0.001)	Loss 2.0698 (1.9136)	Prec@1 45.312 (50.360)	Prec@5 78.906 (80.211)
Epoch: [62][10130/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.0853 (1.9137)	Prec@1 48.438 (50.360)	Prec@5 80.469 (80.209)
Epoch: [62][10140/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 1.7767 (1.9137)	Prec@1 52.344 (50.361)	Prec@5 79.688 (80.209)
Epoch: [62][10150/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.1484 (1.9138)	Prec@1 49.219 (50.358)	Prec@5 77.344 (80.208)
Epoch: [62][10160/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 1.7465 (1.9138)	Prec@1 49.219 (50.356)	Prec@5 82.031 (80.207)
Epoch: [62][10170/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.0012 (1.9138)	Prec@1 42.969 (50.357)	Prec@5 78.125 (80.207)
Epoch: [62][10180/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.0682 (1.9138)	Prec@1 46.875 (50.356)	Prec@5 80.469 (80.206)
Epoch: [62][10190/14090]	Time 0.892 (0.765)	Data 0.001 (0.001)	Loss 1.9490 (1.9138)	Prec@1 50.000 (50.355)	Prec@5 79.688 (80.206)
Epoch: [62][10200/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 1.8000 (1.9138)	Prec@1 51.562 (50.355)	Prec@5 82.812 (80.208)
Epoch: [62][10210/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.0243 (1.9138)	Prec@1 43.750 (50.353)	Prec@5 78.125 (80.207)
Epoch: [62][10220/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 1.8106 (1.9138)	Prec@1 53.125 (50.352)	Prec@5 79.688 (80.206)
Epoch: [62][10230/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 2.1205 (1.9138)	Prec@1 46.094 (50.353)	Prec@5 77.344 (80.206)
Epoch: [62][10240/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 1.7957 (1.9139)	Prec@1 45.312 (50.350)	Prec@5 86.719 (80.205)
Epoch: [62][10250/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 1.7339 (1.9139)	Prec@1 57.031 (50.347)	Prec@5 82.031 (80.204)
Epoch: [62][10260/14090]	Time 0.878 (0.765)	Data 0.001 (0.001)	Loss 1.7201 (1.9138)	Prec@1 52.344 (50.347)	Prec@5 82.812 (80.205)
Epoch: [62][10270/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.0518 (1.9138)	Prec@1 46.875 (50.346)	Prec@5 78.906 (80.205)
Epoch: [62][10280/14090]	Time 0.743 (0.765)	Data 0.002 (0.001)	Loss 1.7972 (1.9138)	Prec@1 57.031 (50.348)	Prec@5 81.250 (80.205)
Epoch: [62][10290/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.1239 (1.9138)	Prec@1 44.531 (50.348)	Prec@5 75.000 (80.205)
Epoch: [62][10300/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 2.0067 (1.9138)	Prec@1 49.219 (50.348)	Prec@5 78.906 (80.206)
Epoch: [62][10310/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 1.8516 (1.9138)	Prec@1 50.781 (50.345)	Prec@5 77.344 (80.204)
Epoch: [62][10320/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.3139 (1.9139)	Prec@1 43.750 (50.343)	Prec@5 69.531 (80.203)
Epoch: [62][10330/14090]	Time 0.842 (0.765)	Data 0.001 (0.001)	Loss 1.7350 (1.9138)	Prec@1 54.688 (50.345)	Prec@5 82.031 (80.205)
Epoch: [62][10340/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 2.0055 (1.9138)	Prec@1 47.656 (50.344)	Prec@5 76.562 (80.206)
Epoch: [62][10350/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.0247 (1.9138)	Prec@1 52.344 (50.345)	Prec@5 77.344 (80.206)
Epoch: [62][10360/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 1.9246 (1.9137)	Prec@1 48.438 (50.347)	Prec@5 83.594 (80.207)
Epoch: [62][10370/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 1.7447 (1.9138)	Prec@1 53.125 (50.346)	Prec@5 82.812 (80.205)
Epoch: [62][10380/14090]	Time 0.775 (0.765)	Data 0.001 (0.001)	Loss 2.0787 (1.9139)	Prec@1 48.438 (50.344)	Prec@5 76.562 (80.203)
Epoch: [62][10390/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.0722 (1.9139)	Prec@1 51.562 (50.342)	Prec@5 71.875 (80.203)
Epoch: [62][10400/14090]	Time 0.869 (0.765)	Data 0.001 (0.001)	Loss 1.9327 (1.9138)	Prec@1 44.531 (50.345)	Prec@5 81.250 (80.205)
Epoch: [62][10410/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 1.7698 (1.9138)	Prec@1 52.344 (50.343)	Prec@5 80.469 (80.204)
Epoch: [62][10420/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.1975 (1.9138)	Prec@1 40.625 (50.341)	Prec@5 70.312 (80.203)
Epoch: [62][10430/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 1.6608 (1.9139)	Prec@1 57.031 (50.342)	Prec@5 80.469 (80.201)
Epoch: [62][10440/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 1.8841 (1.9138)	Prec@1 50.781 (50.343)	Prec@5 78.906 (80.202)
Epoch: [62][10450/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.0756 (1.9138)	Prec@1 46.875 (50.343)	Prec@5 77.344 (80.201)
Epoch: [62][10460/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.0512 (1.9137)	Prec@1 50.781 (50.345)	Prec@5 75.781 (80.202)
Epoch: [62][10470/14090]	Time 0.848 (0.765)	Data 0.001 (0.001)	Loss 2.1211 (1.9137)	Prec@1 49.219 (50.347)	Prec@5 78.906 (80.202)
Epoch: [62][10480/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.2884 (1.9138)	Prec@1 44.531 (50.346)	Prec@5 74.219 (80.202)
Epoch: [62][10490/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.1512 (1.9138)	Prec@1 44.531 (50.343)	Prec@5 75.000 (80.202)
Epoch: [62][10500/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.0748 (1.9138)	Prec@1 45.312 (50.343)	Prec@5 76.562 (80.201)
Epoch: [62][10510/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 1.7582 (1.9138)	Prec@1 53.125 (50.342)	Prec@5 80.469 (80.201)
Epoch: [62][10520/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 1.8095 (1.9137)	Prec@1 53.906 (50.343)	Prec@5 85.156 (80.202)
Epoch: [62][10530/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 1.7641 (1.9137)	Prec@1 54.688 (50.343)	Prec@5 81.250 (80.203)
Epoch: [62][10540/14090]	Time 0.850 (0.765)	Data 0.001 (0.001)	Loss 1.9261 (1.9137)	Prec@1 52.344 (50.344)	Prec@5 82.812 (80.203)
Epoch: [62][10550/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 1.8469 (1.9137)	Prec@1 50.000 (50.345)	Prec@5 80.469 (80.203)
Epoch: [62][10560/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 1.7589 (1.9136)	Prec@1 52.344 (50.344)	Prec@5 79.688 (80.204)
Epoch: [62][10570/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 1.8458 (1.9137)	Prec@1 50.000 (50.343)	Prec@5 84.375 (80.205)
Epoch: [62][10580/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 1.6845 (1.9137)	Prec@1 56.250 (50.341)	Prec@5 84.375 (80.204)
Epoch: [62][10590/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 1.7926 (1.9136)	Prec@1 54.688 (50.343)	Prec@5 80.469 (80.206)
Epoch: [62][10600/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.0788 (1.9136)	Prec@1 46.094 (50.344)	Prec@5 78.125 (80.206)
Epoch: [62][10610/14090]	Time 0.865 (0.765)	Data 0.001 (0.001)	Loss 2.0679 (1.9137)	Prec@1 50.000 (50.343)	Prec@5 74.219 (80.206)
Epoch: [62][10620/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 1.8080 (1.9137)	Prec@1 52.344 (50.342)	Prec@5 81.250 (80.206)
Epoch: [62][10630/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 1.9111 (1.9137)	Prec@1 53.125 (50.343)	Prec@5 82.812 (80.207)
Epoch: [62][10640/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 1.9664 (1.9138)	Prec@1 52.344 (50.342)	Prec@5 77.344 (80.206)
Epoch: [62][10650/14090]	Time 0.771 (0.765)	Data 0.001 (0.001)	Loss 1.6446 (1.9138)	Prec@1 63.281 (50.341)	Prec@5 85.156 (80.205)
Epoch: [62][10660/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.0194 (1.9138)	Prec@1 49.219 (50.341)	Prec@5 78.906 (80.207)
Epoch: [62][10670/14090]	Time 0.772 (0.765)	Data 0.001 (0.001)	Loss 2.0915 (1.9138)	Prec@1 44.531 (50.340)	Prec@5 76.562 (80.207)
Epoch: [62][10680/14090]	Time 0.854 (0.765)	Data 0.001 (0.001)	Loss 1.9193 (1.9138)	Prec@1 48.438 (50.339)	Prec@5 83.594 (80.207)
Epoch: [62][10690/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.1135 (1.9139)	Prec@1 45.312 (50.335)	Prec@5 79.688 (80.206)
Epoch: [62][10700/14090]	Time 0.774 (0.765)	Data 0.001 (0.001)	Loss 1.8076 (1.9139)	Prec@1 50.781 (50.335)	Prec@5 85.156 (80.206)
Epoch: [62][10710/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 1.8724 (1.9138)	Prec@1 50.000 (50.337)	Prec@5 80.469 (80.209)
Epoch: [62][10720/14090]	Time 0.745 (0.765)	Data 0.002 (0.001)	Loss 1.9998 (1.9138)	Prec@1 47.656 (50.336)	Prec@5 77.344 (80.210)
Epoch: [62][10730/14090]	Time 0.766 (0.765)	Data 0.001 (0.001)	Loss 2.0169 (1.9138)	Prec@1 50.781 (50.336)	Prec@5 81.250 (80.212)
Epoch: [62][10740/14090]	Time 0.783 (0.765)	Data 0.001 (0.001)	Loss 1.7137 (1.9138)	Prec@1 53.125 (50.337)	Prec@5 82.031 (80.213)
Epoch: [62][10750/14090]	Time 0.880 (0.765)	Data 0.001 (0.001)	Loss 1.7551 (1.9138)	Prec@1 54.688 (50.339)	Prec@5 85.938 (80.213)
Epoch: [62][10760/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.0547 (1.9138)	Prec@1 46.875 (50.338)	Prec@5 77.344 (80.212)
Epoch: [62][10770/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 1.9169 (1.9138)	Prec@1 51.562 (50.339)	Prec@5 81.250 (80.212)
Epoch: [62][10780/14090]	Time 0.766 (0.765)	Data 0.001 (0.001)	Loss 1.7968 (1.9137)	Prec@1 48.438 (50.341)	Prec@5 82.812 (80.213)
Epoch: [62][10790/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 1.8191 (1.9137)	Prec@1 53.125 (50.342)	Prec@5 82.812 (80.212)
Epoch: [62][10800/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 1.7845 (1.9137)	Prec@1 53.125 (50.344)	Prec@5 84.375 (80.213)
Epoch: [62][10810/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 1.6526 (1.9136)	Prec@1 55.469 (50.344)	Prec@5 85.938 (80.213)
Epoch: [62][10820/14090]	Time 0.919 (0.765)	Data 0.001 (0.001)	Loss 1.7523 (1.9137)	Prec@1 49.219 (50.343)	Prec@5 84.375 (80.213)
Epoch: [62][10830/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 1.7464 (1.9137)	Prec@1 57.031 (50.343)	Prec@5 82.812 (80.212)
Epoch: [62][10840/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 1.9421 (1.9137)	Prec@1 50.000 (50.344)	Prec@5 78.125 (80.212)
Epoch: [62][10850/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.0993 (1.9137)	Prec@1 52.344 (50.344)	Prec@5 76.562 (80.212)
Epoch: [62][10860/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 1.8329 (1.9136)	Prec@1 53.125 (50.345)	Prec@5 82.031 (80.214)
Epoch: [62][10870/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.3430 (1.9137)	Prec@1 43.750 (50.343)	Prec@5 71.094 (80.212)
Epoch: [62][10880/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 1.6896 (1.9136)	Prec@1 53.906 (50.344)	Prec@5 85.156 (80.214)
Epoch: [62][10890/14090]	Time 0.903 (0.765)	Data 0.001 (0.001)	Loss 1.7479 (1.9136)	Prec@1 57.031 (50.342)	Prec@5 79.688 (80.213)
Epoch: [62][10900/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.0341 (1.9136)	Prec@1 47.656 (50.343)	Prec@5 79.688 (80.215)
Epoch: [62][10910/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 1.8310 (1.9136)	Prec@1 50.781 (50.344)	Prec@5 82.031 (80.216)
Epoch: [62][10920/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 1.9100 (1.9136)	Prec@1 48.438 (50.343)	Prec@5 78.125 (80.215)
Epoch: [62][10930/14090]	Time 0.781 (0.765)	Data 0.001 (0.001)	Loss 2.0020 (1.9136)	Prec@1 46.875 (50.343)	Prec@5 78.906 (80.215)
Epoch: [62][10940/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 1.9628 (1.9136)	Prec@1 42.969 (50.341)	Prec@5 82.031 (80.215)
Epoch: [62][10950/14090]	Time 0.719 (0.765)	Data 0.001 (0.001)	Loss 1.8794 (1.9136)	Prec@1 49.219 (50.341)	Prec@5 85.156 (80.216)
Epoch: [62][10960/14090]	Time 0.839 (0.765)	Data 0.001 (0.001)	Loss 1.8703 (1.9136)	Prec@1 53.125 (50.342)	Prec@5 80.469 (80.217)
Epoch: [62][10970/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.0680 (1.9136)	Prec@1 48.438 (50.342)	Prec@5 79.688 (80.217)
Epoch: [62][10980/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 1.9636 (1.9136)	Prec@1 48.438 (50.342)	Prec@5 77.344 (80.218)
Epoch: [62][10990/14090]	Time 0.781 (0.765)	Data 0.001 (0.001)	Loss 1.9480 (1.9136)	Prec@1 50.000 (50.344)	Prec@5 77.344 (80.219)
Epoch: [62][11000/14090]	Time 0.781 (0.765)	Data 0.001 (0.001)	Loss 1.9788 (1.9136)	Prec@1 52.344 (50.342)	Prec@5 78.906 (80.218)
Epoch: [62][11010/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.0791 (1.9136)	Prec@1 45.312 (50.340)	Prec@5 77.344 (80.217)
Epoch: [62][11020/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 1.7096 (1.9136)	Prec@1 56.250 (50.342)	Prec@5 85.156 (80.218)
Epoch: [62][11030/14090]	Time 0.908 (0.765)	Data 0.001 (0.001)	Loss 2.1567 (1.9136)	Prec@1 48.438 (50.344)	Prec@5 74.219 (80.218)
Epoch: [62][11040/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 1.9227 (1.9135)	Prec@1 46.094 (50.345)	Prec@5 82.812 (80.220)
Epoch: [62][11050/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 1.7741 (1.9135)	Prec@1 53.125 (50.344)	Prec@5 80.469 (80.220)
Epoch: [62][11060/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.0402 (1.9136)	Prec@1 50.000 (50.344)	Prec@5 76.562 (80.219)
Epoch: [62][11070/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 1.8827 (1.9135)	Prec@1 50.781 (50.347)	Prec@5 78.906 (80.221)
Epoch: [62][11080/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 1.8160 (1.9135)	Prec@1 50.781 (50.345)	Prec@5 79.688 (80.222)
Epoch: [62][11090/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 1.9204 (1.9134)	Prec@1 50.781 (50.346)	Prec@5 83.594 (80.223)
Epoch: [62][11100/14090]	Time 0.942 (0.765)	Data 0.001 (0.001)	Loss 1.9979 (1.9135)	Prec@1 48.438 (50.344)	Prec@5 82.031 (80.222)
Epoch: [62][11110/14090]	Time 0.776 (0.765)	Data 0.002 (0.001)	Loss 1.8960 (1.9135)	Prec@1 43.750 (50.343)	Prec@5 85.156 (80.222)
Epoch: [62][11120/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 1.6796 (1.9135)	Prec@1 57.812 (50.343)	Prec@5 80.469 (80.222)
Epoch: [62][11130/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.0089 (1.9135)	Prec@1 46.094 (50.343)	Prec@5 78.125 (80.223)
Epoch: [62][11140/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.2003 (1.9134)	Prec@1 46.875 (50.343)	Prec@5 72.656 (80.223)
Epoch: [62][11150/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 1.9738 (1.9135)	Prec@1 50.781 (50.344)	Prec@5 74.219 (80.222)
Epoch: [62][11160/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 1.7923 (1.9134)	Prec@1 53.125 (50.344)	Prec@5 85.156 (80.224)
Epoch: [62][11170/14090]	Time 0.872 (0.765)	Data 0.001 (0.001)	Loss 1.8602 (1.9134)	Prec@1 53.906 (50.344)	Prec@5 82.031 (80.224)
Epoch: [62][11180/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 1.8717 (1.9134)	Prec@1 50.781 (50.343)	Prec@5 81.250 (80.224)
Epoch: [62][11190/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 1.7298 (1.9134)	Prec@1 53.125 (50.346)	Prec@5 82.812 (80.224)
Epoch: [62][11200/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.1111 (1.9134)	Prec@1 49.219 (50.344)	Prec@5 74.219 (80.224)
Epoch: [62][11210/14090]	Time 0.722 (0.765)	Data 0.002 (0.001)	Loss 2.0188 (1.9134)	Prec@1 49.219 (50.343)	Prec@5 81.250 (80.224)
Epoch: [62][11220/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 1.7454 (1.9133)	Prec@1 50.000 (50.343)	Prec@5 80.469 (80.225)
Epoch: [62][11230/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 1.8634 (1.9133)	Prec@1 51.562 (50.344)	Prec@5 84.375 (80.227)
Epoch: [62][11240/14090]	Time 0.839 (0.765)	Data 0.001 (0.001)	Loss 1.9781 (1.9132)	Prec@1 55.469 (50.345)	Prec@5 78.906 (80.228)
Epoch: [62][11250/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.0647 (1.9132)	Prec@1 49.219 (50.344)	Prec@5 77.344 (80.228)
Epoch: [62][11260/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 1.8139 (1.9132)	Prec@1 57.812 (50.347)	Prec@5 82.812 (80.229)
Epoch: [62][11270/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 1.6858 (1.9131)	Prec@1 57.031 (50.348)	Prec@5 82.812 (80.230)
Epoch: [62][11280/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 1.8673 (1.9131)	Prec@1 54.688 (50.349)	Prec@5 85.156 (80.231)
Epoch: [62][11290/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 1.9153 (1.9131)	Prec@1 52.344 (50.348)	Prec@5 82.031 (80.232)
Epoch: [62][11300/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.0000 (1.9131)	Prec@1 46.094 (50.346)	Prec@5 79.688 (80.232)
Epoch: [62][11310/14090]	Time 0.893 (0.765)	Data 0.001 (0.001)	Loss 2.0245 (1.9132)	Prec@1 49.219 (50.345)	Prec@5 76.562 (80.230)
Epoch: [62][11320/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 1.8659 (1.9132)	Prec@1 47.656 (50.345)	Prec@5 82.812 (80.230)
Epoch: [62][11330/14090]	Time 0.721 (0.765)	Data 0.001 (0.001)	Loss 1.9085 (1.9131)	Prec@1 49.219 (50.346)	Prec@5 79.688 (80.231)
Epoch: [62][11340/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.3778 (1.9132)	Prec@1 40.625 (50.344)	Prec@5 73.438 (80.230)
Epoch: [62][11350/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 1.7480 (1.9131)	Prec@1 58.594 (50.346)	Prec@5 78.906 (80.232)
Epoch: [62][11360/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.0685 (1.9132)	Prec@1 48.438 (50.345)	Prec@5 79.688 (80.232)
Epoch: [62][11370/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 1.9691 (1.9132)	Prec@1 47.656 (50.346)	Prec@5 83.594 (80.232)
Epoch: [62][11380/14090]	Time 0.851 (0.765)	Data 0.001 (0.001)	Loss 1.6872 (1.9132)	Prec@1 54.688 (50.344)	Prec@5 85.938 (80.232)
Epoch: [62][11390/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 1.9514 (1.9132)	Prec@1 54.688 (50.345)	Prec@5 75.000 (80.231)
Epoch: [62][11400/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 1.8907 (1.9133)	Prec@1 49.219 (50.342)	Prec@5 78.125 (80.229)
Epoch: [62][11410/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.2540 (1.9133)	Prec@1 44.531 (50.342)	Prec@5 71.094 (80.229)
Epoch: [62][11420/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 1.9631 (1.9133)	Prec@1 46.875 (50.341)	Prec@5 79.688 (80.228)
Epoch: [62][11430/14090]	Time 0.785 (0.765)	Data 0.000 (0.001)	Loss 2.0000 (1.9133)	Prec@1 48.438 (50.340)	Prec@5 76.562 (80.228)
Epoch: [62][11440/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 1.8912 (1.9133)	Prec@1 47.656 (50.339)	Prec@5 81.250 (80.228)
Epoch: [62][11450/14090]	Time 0.866 (0.765)	Data 0.001 (0.001)	Loss 2.1451 (1.9133)	Prec@1 46.875 (50.338)	Prec@5 75.000 (80.228)
Epoch: [62][11460/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.1035 (1.9133)	Prec@1 44.531 (50.340)	Prec@5 75.781 (80.228)
Epoch: [62][11470/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 1.7216 (1.9134)	Prec@1 53.125 (50.339)	Prec@5 83.594 (80.225)
Epoch: [62][11480/14090]	Time 0.735 (0.765)	Data 0.003 (0.001)	Loss 1.6569 (1.9133)	Prec@1 50.781 (50.340)	Prec@5 85.156 (80.227)
Epoch: [62][11490/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 1.8843 (1.9133)	Prec@1 44.531 (50.340)	Prec@5 78.906 (80.228)
Epoch: [62][11500/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 1.8301 (1.9134)	Prec@1 55.469 (50.339)	Prec@5 78.125 (80.227)
Epoch: [62][11510/14090]	Time 0.784 (0.765)	Data 0.001 (0.001)	Loss 1.9953 (1.9134)	Prec@1 47.656 (50.340)	Prec@5 80.469 (80.226)
Epoch: [62][11520/14090]	Time 0.886 (0.765)	Data 0.001 (0.001)	Loss 1.8614 (1.9134)	Prec@1 46.875 (50.339)	Prec@5 79.688 (80.225)
Epoch: [62][11530/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.2937 (1.9134)	Prec@1 43.750 (50.340)	Prec@5 68.750 (80.225)
Epoch: [62][11540/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.0628 (1.9134)	Prec@1 44.531 (50.340)	Prec@5 76.562 (80.226)
Epoch: [62][11550/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 1.9124 (1.9134)	Prec@1 50.000 (50.340)	Prec@5 80.469 (80.224)
Epoch: [62][11560/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 1.7956 (1.9134)	Prec@1 54.688 (50.340)	Prec@5 78.906 (80.222)
Epoch: [62][11570/14090]	Time 0.770 (0.765)	Data 0.001 (0.001)	Loss 1.6909 (1.9135)	Prec@1 49.219 (50.340)	Prec@5 86.719 (80.223)
Epoch: [62][11580/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 1.7476 (1.9134)	Prec@1 53.125 (50.343)	Prec@5 82.031 (80.225)
Epoch: [62][11590/14090]	Time 0.839 (0.765)	Data 0.001 (0.001)	Loss 2.1343 (1.9133)	Prec@1 46.094 (50.344)	Prec@5 79.688 (80.225)
Epoch: [62][11600/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.0174 (1.9134)	Prec@1 44.531 (50.342)	Prec@5 73.438 (80.223)
Epoch: [62][11610/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 2.0384 (1.9134)	Prec@1 51.562 (50.343)	Prec@5 77.344 (80.222)
Epoch: [62][11620/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 1.9083 (1.9134)	Prec@1 55.469 (50.342)	Prec@5 78.906 (80.221)
Epoch: [62][11630/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 1.9211 (1.9135)	Prec@1 49.219 (50.342)	Prec@5 81.250 (80.220)
Epoch: [62][11640/14090]	Time 0.768 (0.765)	Data 0.001 (0.001)	Loss 1.8591 (1.9134)	Prec@1 53.906 (50.343)	Prec@5 82.031 (80.221)
Epoch: [62][11650/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 1.8514 (1.9134)	Prec@1 55.469 (50.345)	Prec@5 78.906 (80.222)
Epoch: [62][11660/14090]	Time 0.861 (0.765)	Data 0.001 (0.001)	Loss 2.4208 (1.9134)	Prec@1 42.188 (50.343)	Prec@5 69.531 (80.221)
Epoch: [62][11670/14090]	Time 0.789 (0.765)	Data 0.001 (0.001)	Loss 1.9720 (1.9135)	Prec@1 53.906 (50.342)	Prec@5 78.906 (80.220)
Epoch: [62][11680/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 1.8680 (1.9135)	Prec@1 53.906 (50.342)	Prec@5 78.906 (80.220)
Epoch: [62][11690/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 1.8514 (1.9135)	Prec@1 50.781 (50.342)	Prec@5 85.156 (80.221)
Epoch: [62][11700/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.2139 (1.9134)	Prec@1 44.531 (50.344)	Prec@5 75.000 (80.223)
Epoch: [62][11710/14090]	Time 0.765 (0.765)	Data 0.003 (0.001)	Loss 1.7863 (1.9135)	Prec@1 52.344 (50.344)	Prec@5 82.031 (80.222)
Epoch: [62][11720/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 1.8846 (1.9135)	Prec@1 51.562 (50.343)	Prec@5 81.250 (80.222)
Epoch: [62][11730/14090]	Time 0.868 (0.765)	Data 0.001 (0.001)	Loss 1.8515 (1.9135)	Prec@1 46.094 (50.342)	Prec@5 85.156 (80.223)
Epoch: [62][11740/14090]	Time 0.732 (0.765)	Data 0.003 (0.001)	Loss 1.7373 (1.9134)	Prec@1 53.125 (50.345)	Prec@5 85.938 (80.225)
Epoch: [62][11750/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 1.8183 (1.9133)	Prec@1 50.781 (50.344)	Prec@5 81.250 (80.226)
Epoch: [62][11760/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 1.8917 (1.9133)	Prec@1 50.781 (50.345)	Prec@5 82.812 (80.228)
Epoch: [62][11770/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.0393 (1.9133)	Prec@1 43.750 (50.345)	Prec@5 80.469 (80.229)
Epoch: [62][11780/14090]	Time 0.765 (0.765)	Data 0.000 (0.001)	Loss 1.9391 (1.9133)	Prec@1 46.875 (50.346)	Prec@5 79.688 (80.230)
Epoch: [62][11790/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 1.9569 (1.9133)	Prec@1 49.219 (50.346)	Prec@5 79.688 (80.230)
Epoch: [62][11800/14090]	Time 1.011 (0.765)	Data 0.001 (0.001)	Loss 2.0592 (1.9133)	Prec@1 45.312 (50.346)	Prec@5 79.688 (80.231)
Epoch: [62][11810/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 1.7909 (1.9133)	Prec@1 49.219 (50.346)	Prec@5 83.594 (80.230)
Epoch: [62][11820/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.0269 (1.9133)	Prec@1 48.438 (50.344)	Prec@5 75.000 (80.229)
Epoch: [62][11830/14090]	Time 0.722 (0.765)	Data 0.001 (0.001)	Loss 1.9431 (1.9133)	Prec@1 51.562 (50.347)	Prec@5 80.469 (80.229)
Epoch: [62][11840/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 1.9447 (1.9132)	Prec@1 48.438 (50.348)	Prec@5 82.031 (80.230)
Epoch: [62][11850/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.1686 (1.9132)	Prec@1 43.750 (50.349)	Prec@5 75.781 (80.230)
Epoch: [62][11860/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 1.9851 (1.9132)	Prec@1 52.344 (50.348)	Prec@5 75.781 (80.231)
Epoch: [62][11870/14090]	Time 0.908 (0.765)	Data 0.001 (0.001)	Loss 2.0646 (1.9132)	Prec@1 50.000 (50.348)	Prec@5 77.344 (80.229)
Epoch: [62][11880/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 1.8075 (1.9132)	Prec@1 49.219 (50.349)	Prec@5 82.031 (80.230)
Epoch: [62][11890/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 1.9218 (1.9131)	Prec@1 46.875 (50.351)	Prec@5 77.344 (80.231)
Epoch: [62][11900/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 2.0972 (1.9132)	Prec@1 44.531 (50.348)	Prec@5 75.781 (80.228)
Epoch: [62][11910/14090]	Time 0.736 (0.765)	Data 0.002 (0.001)	Loss 2.0502 (1.9132)	Prec@1 55.469 (50.348)	Prec@5 78.906 (80.227)
Epoch: [62][11920/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 1.7260 (1.9132)	Prec@1 57.031 (50.350)	Prec@5 82.812 (80.228)
Epoch: [62][11930/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 1.8079 (1.9132)	Prec@1 55.469 (50.347)	Prec@5 78.906 (80.226)
Epoch: [62][11940/14090]	Time 0.865 (0.765)	Data 0.001 (0.001)	Loss 1.7696 (1.9132)	Prec@1 50.781 (50.347)	Prec@5 84.375 (80.226)
Epoch: [62][11950/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 1.8726 (1.9132)	Prec@1 50.000 (50.348)	Prec@5 81.250 (80.226)
Epoch: [62][11960/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 1.8988 (1.9132)	Prec@1 52.344 (50.349)	Prec@5 80.469 (80.227)
Epoch: [62][11970/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 1.7183 (1.9132)	Prec@1 58.594 (50.348)	Prec@5 84.375 (80.226)
Epoch: [62][11980/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.2612 (1.9133)	Prec@1 42.188 (50.347)	Prec@5 75.000 (80.225)
Epoch: [62][11990/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.0954 (1.9133)	Prec@1 39.062 (50.345)	Prec@5 78.125 (80.225)
Epoch: [62][12000/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.0443 (1.9134)	Prec@1 45.312 (50.343)	Prec@5 82.812 (80.224)
Epoch: [62][12010/14090]	Time 0.840 (0.765)	Data 0.001 (0.001)	Loss 2.0838 (1.9134)	Prec@1 50.781 (50.344)	Prec@5 78.125 (80.223)
Epoch: [62][12020/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 1.6636 (1.9134)	Prec@1 56.250 (50.345)	Prec@5 82.031 (80.224)
Epoch: [62][12030/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 1.9633 (1.9134)	Prec@1 48.438 (50.346)	Prec@5 78.125 (80.225)
Epoch: [62][12040/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 1.8595 (1.9133)	Prec@1 57.031 (50.348)	Prec@5 79.688 (80.225)
Epoch: [62][12050/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 1.7592 (1.9132)	Prec@1 50.781 (50.349)	Prec@5 81.250 (80.227)
Epoch: [62][12060/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 1.7697 (1.9133)	Prec@1 49.219 (50.348)	Prec@5 85.156 (80.227)
Epoch: [62][12070/14090]	Time 0.758 (0.765)	Data 0.003 (0.001)	Loss 1.5817 (1.9132)	Prec@1 56.250 (50.349)	Prec@5 86.719 (80.227)
Epoch: [62][12080/14090]	Time 0.914 (0.765)	Data 0.001 (0.001)	Loss 1.9225 (1.9132)	Prec@1 50.000 (50.347)	Prec@5 83.594 (80.226)
Epoch: [62][12090/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 1.8338 (1.9133)	Prec@1 50.781 (50.346)	Prec@5 78.125 (80.225)
Epoch: [62][12100/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 1.8813 (1.9133)	Prec@1 48.438 (50.345)	Prec@5 79.688 (80.225)
Epoch: [62][12110/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 1.9091 (1.9133)	Prec@1 49.219 (50.345)	Prec@5 80.469 (80.225)
Epoch: [62][12120/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 1.7201 (1.9133)	Prec@1 51.562 (50.345)	Prec@5 84.375 (80.225)
Epoch: [62][12130/14090]	Time 0.779 (0.765)	Data 0.001 (0.001)	Loss 2.1619 (1.9134)	Prec@1 48.438 (50.343)	Prec@5 72.656 (80.225)
Epoch: [62][12140/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.1096 (1.9134)	Prec@1 43.750 (50.343)	Prec@5 75.781 (80.225)
Epoch: [62][12150/14090]	Time 0.879 (0.765)	Data 0.001 (0.001)	Loss 1.8866 (1.9134)	Prec@1 52.344 (50.343)	Prec@5 81.250 (80.225)
Epoch: [62][12160/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 1.8599 (1.9134)	Prec@1 54.688 (50.345)	Prec@5 79.688 (80.224)
Epoch: [62][12170/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 1.9358 (1.9134)	Prec@1 50.781 (50.346)	Prec@5 78.125 (80.223)
Epoch: [62][12180/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 1.7395 (1.9133)	Prec@1 58.594 (50.348)	Prec@5 80.469 (80.225)
Epoch: [62][12190/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 1.8492 (1.9133)	Prec@1 50.000 (50.349)	Prec@5 79.688 (80.225)
Epoch: [62][12200/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 1.8286 (1.9133)	Prec@1 53.125 (50.348)	Prec@5 83.594 (80.226)
Epoch: [62][12210/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 1.9938 (1.9133)	Prec@1 47.656 (50.348)	Prec@5 76.562 (80.226)
Epoch: [62][12220/14090]	Time 0.839 (0.765)	Data 0.001 (0.001)	Loss 1.7710 (1.9134)	Prec@1 54.688 (50.345)	Prec@5 85.156 (80.225)
Epoch: [62][12230/14090]	Time 0.773 (0.765)	Data 0.001 (0.001)	Loss 1.7825 (1.9133)	Prec@1 55.469 (50.347)	Prec@5 79.688 (80.227)
Epoch: [62][12240/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.2232 (1.9133)	Prec@1 49.219 (50.347)	Prec@5 74.219 (80.226)
Epoch: [62][12250/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 1.9381 (1.9134)	Prec@1 47.656 (50.347)	Prec@5 80.469 (80.226)
Epoch: [62][12260/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 1.8023 (1.9134)	Prec@1 49.219 (50.346)	Prec@5 82.031 (80.226)
Epoch: [62][12270/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 1.7113 (1.9133)	Prec@1 53.125 (50.347)	Prec@5 78.906 (80.226)
Epoch: [62][12280/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.0766 (1.9133)	Prec@1 54.688 (50.348)	Prec@5 75.781 (80.227)
Epoch: [62][12290/14090]	Time 0.846 (0.765)	Data 0.001 (0.001)	Loss 1.8191 (1.9133)	Prec@1 51.562 (50.350)	Prec@5 82.031 (80.227)
Epoch: [62][12300/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 1.9801 (1.9133)	Prec@1 46.875 (50.350)	Prec@5 81.250 (80.227)
Epoch: [62][12310/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 1.9773 (1.9133)	Prec@1 47.656 (50.351)	Prec@5 78.125 (80.228)
Epoch: [62][12320/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 1.9482 (1.9132)	Prec@1 51.562 (50.352)	Prec@5 80.469 (80.229)
Epoch: [62][12330/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 1.7925 (1.9133)	Prec@1 56.250 (50.352)	Prec@5 81.250 (80.228)
Epoch: [62][12340/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 1.9309 (1.9133)	Prec@1 50.000 (50.352)	Prec@5 81.250 (80.228)
Epoch: [62][12350/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 1.9086 (1.9133)	Prec@1 50.781 (50.352)	Prec@5 78.125 (80.227)
Epoch: [62][12360/14090]	Time 1.009 (0.765)	Data 0.001 (0.001)	Loss 1.9587 (1.9134)	Prec@1 49.219 (50.350)	Prec@5 78.906 (80.226)
Epoch: [62][12370/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 1.8271 (1.9134)	Prec@1 49.219 (50.348)	Prec@5 84.375 (80.226)
Epoch: [62][12380/14090]	Time 0.714 (0.765)	Data 0.001 (0.001)	Loss 1.9620 (1.9134)	Prec@1 50.000 (50.348)	Prec@5 78.906 (80.226)
Epoch: [62][12390/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 1.8138 (1.9134)	Prec@1 55.469 (50.348)	Prec@5 82.031 (80.227)
Epoch: [62][12400/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 1.8565 (1.9134)	Prec@1 51.562 (50.348)	Prec@5 81.250 (80.226)
Epoch: [62][12410/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 1.8438 (1.9134)	Prec@1 46.875 (50.347)	Prec@5 81.250 (80.225)
Epoch: [62][12420/14090]	Time 0.770 (0.765)	Data 0.001 (0.001)	Loss 2.0564 (1.9134)	Prec@1 47.656 (50.345)	Prec@5 75.781 (80.225)
Epoch: [62][12430/14090]	Time 0.905 (0.765)	Data 0.001 (0.001)	Loss 2.2187 (1.9135)	Prec@1 49.219 (50.343)	Prec@5 75.000 (80.224)
Epoch: [62][12440/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 1.8735 (1.9136)	Prec@1 53.125 (50.343)	Prec@5 81.250 (80.223)
Epoch: [62][12450/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.0091 (1.9135)	Prec@1 48.438 (50.344)	Prec@5 77.344 (80.223)
Epoch: [62][12460/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 1.9253 (1.9135)	Prec@1 50.781 (50.343)	Prec@5 81.250 (80.223)
Epoch: [62][12470/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 1.8006 (1.9136)	Prec@1 51.562 (50.341)	Prec@5 80.469 (80.223)
Epoch: [62][12480/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 1.6253 (1.9135)	Prec@1 54.688 (50.341)	Prec@5 85.156 (80.223)
Epoch: [62][12490/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.2626 (1.9136)	Prec@1 46.094 (50.341)	Prec@5 76.562 (80.222)
Epoch: [62][12500/14090]	Time 0.822 (0.765)	Data 0.001 (0.001)	Loss 1.9148 (1.9136)	Prec@1 52.344 (50.342)	Prec@5 79.688 (80.223)
Epoch: [62][12510/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 1.9771 (1.9136)	Prec@1 53.125 (50.343)	Prec@5 78.906 (80.223)
Epoch: [62][12520/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 1.8546 (1.9136)	Prec@1 43.750 (50.342)	Prec@5 82.812 (80.223)
Epoch: [62][12530/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 1.7899 (1.9136)	Prec@1 56.250 (50.343)	Prec@5 82.812 (80.223)
Epoch: [62][12540/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 1.6611 (1.9136)	Prec@1 58.594 (50.343)	Prec@5 83.594 (80.223)
Epoch: [62][12550/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 1.8910 (1.9137)	Prec@1 51.562 (50.343)	Prec@5 82.031 (80.222)
Epoch: [62][12560/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 1.7132 (1.9137)	Prec@1 52.344 (50.342)	Prec@5 83.594 (80.222)
Epoch: [62][12570/14090]	Time 0.843 (0.765)	Data 0.001 (0.001)	Loss 1.6397 (1.9137)	Prec@1 58.594 (50.344)	Prec@5 85.938 (80.221)
Epoch: [62][12580/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 2.1446 (1.9137)	Prec@1 44.531 (50.343)	Prec@5 75.000 (80.221)
Epoch: [62][12590/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 1.8059 (1.9137)	Prec@1 56.250 (50.343)	Prec@5 82.812 (80.221)
Epoch: [62][12600/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 1.8302 (1.9137)	Prec@1 56.250 (50.344)	Prec@5 82.812 (80.221)
Epoch: [62][12610/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 2.2186 (1.9137)	Prec@1 49.219 (50.345)	Prec@5 73.438 (80.222)
Epoch: [62][12620/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 1.7591 (1.9136)	Prec@1 46.875 (50.346)	Prec@5 82.031 (80.222)
Epoch: [62][12630/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.0717 (1.9136)	Prec@1 46.094 (50.347)	Prec@5 77.344 (80.222)
Epoch: [62][12640/14090]	Time 0.888 (0.765)	Data 0.001 (0.001)	Loss 2.4977 (1.9137)	Prec@1 37.500 (50.344)	Prec@5 73.438 (80.221)
Epoch: [62][12650/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 1.9903 (1.9136)	Prec@1 47.656 (50.344)	Prec@5 79.688 (80.221)
Epoch: [62][12660/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.1009 (1.9137)	Prec@1 46.094 (50.344)	Prec@5 73.438 (80.221)
Epoch: [62][12670/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 1.9036 (1.9137)	Prec@1 42.969 (50.343)	Prec@5 78.125 (80.221)
Epoch: [62][12680/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 1.7241 (1.9136)	Prec@1 51.562 (50.344)	Prec@5 81.250 (80.222)
Epoch: [62][12690/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.0728 (1.9137)	Prec@1 52.344 (50.343)	Prec@5 82.031 (80.221)
Epoch: [62][12700/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.3003 (1.9137)	Prec@1 42.969 (50.342)	Prec@5 71.094 (80.220)
Epoch: [62][12710/14090]	Time 0.874 (0.765)	Data 0.001 (0.001)	Loss 1.9842 (1.9137)	Prec@1 49.219 (50.342)	Prec@5 78.906 (80.220)
Epoch: [62][12720/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 1.7275 (1.9138)	Prec@1 56.250 (50.342)	Prec@5 82.031 (80.220)
Epoch: [62][12730/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.0527 (1.9138)	Prec@1 48.438 (50.342)	Prec@5 76.562 (80.220)
Epoch: [62][12740/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 1.9213 (1.9138)	Prec@1 48.438 (50.342)	Prec@5 84.375 (80.220)
Epoch: [62][12750/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.0788 (1.9138)	Prec@1 46.875 (50.342)	Prec@5 79.688 (80.219)
Epoch: [62][12760/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 1.8062 (1.9138)	Prec@1 54.688 (50.343)	Prec@5 82.812 (80.220)
Epoch: [62][12770/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 1.9191 (1.9138)	Prec@1 46.875 (50.342)	Prec@5 79.688 (80.221)
Epoch: [62][12780/14090]	Time 0.855 (0.765)	Data 0.001 (0.001)	Loss 1.9478 (1.9138)	Prec@1 47.656 (50.341)	Prec@5 83.594 (80.221)
Epoch: [62][12790/14090]	Time 0.779 (0.765)	Data 0.001 (0.001)	Loss 2.0438 (1.9138)	Prec@1 48.438 (50.340)	Prec@5 78.906 (80.220)
Epoch: [62][12800/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 1.7120 (1.9138)	Prec@1 55.469 (50.342)	Prec@5 85.156 (80.220)
Epoch: [62][12810/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.1399 (1.9139)	Prec@1 42.188 (50.340)	Prec@5 75.781 (80.220)
Epoch: [62][12820/14090]	Time 0.722 (0.765)	Data 0.001 (0.001)	Loss 1.8081 (1.9139)	Prec@1 49.219 (50.340)	Prec@5 85.938 (80.221)
Epoch: [62][12830/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 1.8335 (1.9139)	Prec@1 50.781 (50.340)	Prec@5 78.906 (80.219)
Epoch: [62][12840/14090]	Time 0.773 (0.765)	Data 0.001 (0.001)	Loss 1.6757 (1.9139)	Prec@1 56.250 (50.343)	Prec@5 86.719 (80.220)
Epoch: [62][12850/14090]	Time 0.841 (0.765)	Data 0.001 (0.001)	Loss 1.7582 (1.9139)	Prec@1 52.344 (50.342)	Prec@5 82.812 (80.219)
Epoch: [62][12860/14090]	Time 0.720 (0.765)	Data 0.001 (0.001)	Loss 1.9097 (1.9138)	Prec@1 48.438 (50.342)	Prec@5 78.906 (80.220)
Epoch: [62][12870/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 1.9362 (1.9138)	Prec@1 48.438 (50.342)	Prec@5 86.719 (80.221)
Epoch: [62][12880/14090]	Time 0.782 (0.765)	Data 0.001 (0.001)	Loss 1.8457 (1.9138)	Prec@1 56.250 (50.341)	Prec@5 82.812 (80.222)
Epoch: [62][12890/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 1.7301 (1.9138)	Prec@1 50.000 (50.341)	Prec@5 81.250 (80.222)
Epoch: [62][12900/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 1.7891 (1.9138)	Prec@1 50.000 (50.340)	Prec@5 83.594 (80.221)
Epoch: [62][12910/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 1.7093 (1.9137)	Prec@1 55.469 (50.341)	Prec@5 82.812 (80.221)
Epoch: [62][12920/14090]	Time 0.874 (0.765)	Data 0.001 (0.001)	Loss 2.0061 (1.9138)	Prec@1 49.219 (50.340)	Prec@5 77.344 (80.222)
Epoch: [62][12930/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 1.8862 (1.9137)	Prec@1 50.781 (50.343)	Prec@5 83.594 (80.223)
Epoch: [62][12940/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 1.9385 (1.9137)	Prec@1 49.219 (50.343)	Prec@5 79.688 (80.224)
Epoch: [62][12950/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 1.6224 (1.9137)	Prec@1 59.375 (50.343)	Prec@5 88.281 (80.223)
Epoch: [62][12960/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 1.7514 (1.9137)	Prec@1 50.000 (50.343)	Prec@5 85.938 (80.223)
Epoch: [62][12970/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 1.6487 (1.9136)	Prec@1 54.688 (50.345)	Prec@5 85.938 (80.225)
Epoch: [62][12980/14090]	Time 0.773 (0.765)	Data 0.001 (0.001)	Loss 1.7624 (1.9134)	Prec@1 55.469 (50.348)	Prec@5 85.156 (80.226)
Epoch: [62][12990/14090]	Time 0.855 (0.765)	Data 0.001 (0.001)	Loss 2.0482 (1.9135)	Prec@1 53.125 (50.347)	Prec@5 78.906 (80.226)
Epoch: [62][13000/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 1.8706 (1.9136)	Prec@1 55.469 (50.344)	Prec@5 83.594 (80.224)
Epoch: [62][13010/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 1.6854 (1.9136)	Prec@1 57.812 (50.345)	Prec@5 85.156 (80.224)
Epoch: [62][13020/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 1.8472 (1.9136)	Prec@1 43.750 (50.345)	Prec@5 85.156 (80.225)
Epoch: [62][13030/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 1.8886 (1.9136)	Prec@1 47.656 (50.344)	Prec@5 79.688 (80.226)
Epoch: [62][13040/14090]	Time 0.778 (0.765)	Data 0.001 (0.001)	Loss 2.2463 (1.9137)	Prec@1 42.969 (50.342)	Prec@5 71.875 (80.224)
Epoch: [62][13050/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 1.5494 (1.9137)	Prec@1 60.156 (50.343)	Prec@5 86.719 (80.223)
Epoch: [62][13060/14090]	Time 0.863 (0.765)	Data 0.001 (0.001)	Loss 1.9307 (1.9137)	Prec@1 53.125 (50.345)	Prec@5 78.125 (80.223)
Epoch: [62][13070/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 1.7681 (1.9136)	Prec@1 52.344 (50.345)	Prec@5 81.250 (80.223)
Epoch: [62][13080/14090]	Time 0.774 (0.765)	Data 0.003 (0.001)	Loss 1.9528 (1.9137)	Prec@1 54.688 (50.344)	Prec@5 75.000 (80.223)
Epoch: [62][13090/14090]	Time 0.783 (0.765)	Data 0.001 (0.001)	Loss 2.0635 (1.9137)	Prec@1 45.312 (50.345)	Prec@5 78.125 (80.223)
Epoch: [62][13100/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 1.9052 (1.9137)	Prec@1 49.219 (50.344)	Prec@5 82.812 (80.221)
Epoch: [62][13110/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 1.6597 (1.9137)	Prec@1 58.594 (50.345)	Prec@5 87.500 (80.222)
Epoch: [62][13120/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 1.8253 (1.9137)	Prec@1 50.000 (50.344)	Prec@5 82.031 (80.222)
Epoch: [62][13130/14090]	Time 0.848 (0.765)	Data 0.001 (0.001)	Loss 2.0303 (1.9138)	Prec@1 46.094 (50.344)	Prec@5 76.562 (80.221)
Epoch: [62][13140/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 1.7976 (1.9137)	Prec@1 53.125 (50.346)	Prec@5 85.938 (80.223)
Epoch: [62][13150/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 1.8363 (1.9138)	Prec@1 50.000 (50.345)	Prec@5 80.469 (80.222)
Epoch: [62][13160/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 1.9351 (1.9137)	Prec@1 46.875 (50.347)	Prec@5 80.469 (80.222)
Epoch: [62][13170/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 1.7674 (1.9137)	Prec@1 51.562 (50.348)	Prec@5 78.125 (80.222)
Epoch: [62][13180/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 1.8860 (1.9136)	Prec@1 53.906 (50.348)	Prec@5 85.156 (80.223)
Epoch: [62][13190/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 1.8118 (1.9136)	Prec@1 51.562 (50.348)	Prec@5 82.031 (80.223)
Epoch: [62][13200/14090]	Time 0.899 (0.765)	Data 0.001 (0.001)	Loss 1.6341 (1.9135)	Prec@1 54.688 (50.349)	Prec@5 88.281 (80.225)
Epoch: [62][13210/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 1.8411 (1.9135)	Prec@1 52.344 (50.349)	Prec@5 84.375 (80.225)
Epoch: [62][13220/14090]	Time 0.718 (0.765)	Data 0.001 (0.001)	Loss 1.8414 (1.9135)	Prec@1 50.781 (50.351)	Prec@5 81.250 (80.226)
Epoch: [62][13230/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 1.9332 (1.9134)	Prec@1 54.688 (50.354)	Prec@5 79.688 (80.227)
Epoch: [62][13240/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 1.9342 (1.9134)	Prec@1 54.688 (50.354)	Prec@5 83.594 (80.227)
Epoch: [62][13250/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.1103 (1.9134)	Prec@1 44.531 (50.353)	Prec@5 78.906 (80.227)
Epoch: [62][13260/14090]	Time 0.781 (0.765)	Data 0.001 (0.001)	Loss 2.1508 (1.9135)	Prec@1 45.312 (50.352)	Prec@5 75.000 (80.228)
Epoch: [62][13270/14090]	Time 0.804 (0.765)	Data 0.001 (0.001)	Loss 1.7802 (1.9135)	Prec@1 53.125 (50.351)	Prec@5 82.031 (80.227)
Epoch: [62][13280/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 1.7774 (1.9134)	Prec@1 53.125 (50.350)	Prec@5 78.906 (80.228)
Epoch: [62][13290/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 1.7435 (1.9135)	Prec@1 50.000 (50.350)	Prec@5 83.594 (80.228)
Epoch: [62][13300/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 1.7213 (1.9135)	Prec@1 56.250 (50.348)	Prec@5 78.125 (80.227)
Epoch: [62][13310/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 1.7684 (1.9135)	Prec@1 55.469 (50.350)	Prec@5 80.469 (80.228)
Epoch: [62][13320/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 1.8897 (1.9134)	Prec@1 51.562 (50.351)	Prec@5 78.125 (80.228)
Epoch: [62][13330/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 1.7804 (1.9134)	Prec@1 50.781 (50.351)	Prec@5 85.938 (80.228)
Epoch: [62][13340/14090]	Time 0.874 (0.765)	Data 0.001 (0.001)	Loss 1.8673 (1.9134)	Prec@1 54.688 (50.351)	Prec@5 79.688 (80.228)
Epoch: [62][13350/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.0527 (1.9134)	Prec@1 44.531 (50.352)	Prec@5 78.125 (80.228)
Epoch: [62][13360/14090]	Time 0.722 (0.765)	Data 0.001 (0.001)	Loss 1.9134 (1.9134)	Prec@1 50.781 (50.351)	Prec@5 78.906 (80.228)
Epoch: [62][13370/14090]	Time 0.769 (0.765)	Data 0.001 (0.001)	Loss 1.7940 (1.9134)	Prec@1 56.250 (50.353)	Prec@5 80.469 (80.228)
Epoch: [62][13380/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 1.8592 (1.9134)	Prec@1 53.906 (50.354)	Prec@5 81.250 (80.227)
Epoch: [62][13390/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.0721 (1.9134)	Prec@1 39.844 (50.354)	Prec@5 74.219 (80.227)
Epoch: [62][13400/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.1521 (1.9135)	Prec@1 39.844 (50.353)	Prec@5 77.344 (80.225)
Epoch: [62][13410/14090]	Time 0.845 (0.765)	Data 0.001 (0.001)	Loss 2.1340 (1.9135)	Prec@1 50.000 (50.353)	Prec@5 75.000 (80.224)
Epoch: [62][13420/14090]	Time 0.729 (0.765)	Data 0.002 (0.001)	Loss 1.8350 (1.9135)	Prec@1 47.656 (50.354)	Prec@5 85.156 (80.224)
Epoch: [62][13430/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.0527 (1.9134)	Prec@1 49.219 (50.355)	Prec@5 77.344 (80.225)
Epoch: [62][13440/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 1.8804 (1.9134)	Prec@1 48.438 (50.356)	Prec@5 79.688 (80.225)
Epoch: [62][13450/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 1.9704 (1.9134)	Prec@1 51.562 (50.355)	Prec@5 76.562 (80.225)
Epoch: [62][13460/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 1.8957 (1.9134)	Prec@1 50.000 (50.354)	Prec@5 81.250 (80.224)
Epoch: [62][13470/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 1.7572 (1.9134)	Prec@1 51.562 (50.354)	Prec@5 80.469 (80.225)
Epoch: [62][13480/14090]	Time 0.925 (0.765)	Data 0.001 (0.001)	Loss 2.3253 (1.9135)	Prec@1 41.406 (50.352)	Prec@5 75.781 (80.223)
Epoch: [62][13490/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.0648 (1.9135)	Prec@1 42.188 (50.352)	Prec@5 78.906 (80.225)
Epoch: [62][13500/14090]	Time 0.772 (0.765)	Data 0.001 (0.001)	Loss 1.8388 (1.9135)	Prec@1 52.344 (50.351)	Prec@5 82.031 (80.224)
Epoch: [62][13510/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 1.7329 (1.9135)	Prec@1 53.906 (50.350)	Prec@5 82.812 (80.225)
Epoch: [62][13520/14090]	Time 0.744 (0.765)	Data 0.002 (0.001)	Loss 1.9190 (1.9135)	Prec@1 48.438 (50.350)	Prec@5 84.375 (80.225)
Epoch: [62][13530/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.0556 (1.9136)	Prec@1 43.750 (50.350)	Prec@5 78.125 (80.224)
Epoch: [62][13540/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 1.6861 (1.9135)	Prec@1 57.031 (50.351)	Prec@5 83.594 (80.224)
Epoch: [62][13550/14090]	Time 0.917 (0.765)	Data 0.002 (0.001)	Loss 1.9353 (1.9136)	Prec@1 48.438 (50.349)	Prec@5 80.469 (80.224)
Epoch: [62][13560/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 1.8638 (1.9135)	Prec@1 55.469 (50.350)	Prec@5 82.812 (80.225)
Epoch: [62][13570/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 1.9947 (1.9135)	Prec@1 47.656 (50.350)	Prec@5 78.906 (80.225)
Epoch: [62][13580/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 1.8889 (1.9135)	Prec@1 51.562 (50.348)	Prec@5 81.250 (80.225)
Epoch: [62][13590/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 1.6584 (1.9135)	Prec@1 55.469 (50.348)	Prec@5 82.031 (80.225)
Epoch: [62][13600/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 1.8567 (1.9135)	Prec@1 53.906 (50.348)	Prec@5 83.594 (80.226)
Epoch: [62][13610/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 1.9854 (1.9134)	Prec@1 46.094 (50.348)	Prec@5 81.250 (80.228)
Epoch: [62][13620/14090]	Time 0.845 (0.765)	Data 0.001 (0.001)	Loss 2.1009 (1.9135)	Prec@1 48.438 (50.346)	Prec@5 72.656 (80.227)
Epoch: [62][13630/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 1.5860 (1.9135)	Prec@1 58.594 (50.345)	Prec@5 86.719 (80.227)
Epoch: [62][13640/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.0899 (1.9136)	Prec@1 41.406 (50.344)	Prec@5 76.562 (80.226)
Epoch: [62][13650/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 1.3557 (1.9136)	Prec@1 67.188 (50.345)	Prec@5 89.062 (80.226)
Epoch: [62][13660/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 1.6866 (1.9136)	Prec@1 53.125 (50.345)	Prec@5 85.938 (80.226)
Epoch: [62][13670/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 1.7253 (1.9136)	Prec@1 57.031 (50.345)	Prec@5 85.938 (80.225)
Epoch: [62][13680/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.1153 (1.9136)	Prec@1 48.438 (50.343)	Prec@5 77.344 (80.226)
Epoch: [62][13690/14090]	Time 0.851 (0.765)	Data 0.001 (0.001)	Loss 1.9624 (1.9136)	Prec@1 48.438 (50.343)	Prec@5 81.250 (80.226)
Epoch: [62][13700/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 1.7914 (1.9137)	Prec@1 50.000 (50.343)	Prec@5 83.594 (80.225)
Epoch: [62][13710/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 1.7726 (1.9136)	Prec@1 50.781 (50.345)	Prec@5 84.375 (80.226)
Epoch: [62][13720/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.0909 (1.9137)	Prec@1 50.000 (50.344)	Prec@5 81.250 (80.225)
Epoch: [62][13730/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 1.7688 (1.9137)	Prec@1 55.469 (50.345)	Prec@5 80.469 (80.225)
Epoch: [62][13740/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 1.9657 (1.9137)	Prec@1 55.469 (50.346)	Prec@5 79.688 (80.225)
Epoch: [62][13750/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 1.6569 (1.9136)	Prec@1 58.594 (50.346)	Prec@5 86.719 (80.226)
Epoch: [62][13760/14090]	Time 0.868 (0.765)	Data 0.001 (0.001)	Loss 2.1450 (1.9136)	Prec@1 44.531 (50.348)	Prec@5 76.562 (80.227)
Epoch: [62][13770/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 1.7088 (1.9135)	Prec@1 53.125 (50.350)	Prec@5 82.031 (80.229)
Epoch: [62][13780/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 1.8936 (1.9136)	Prec@1 46.875 (50.349)	Prec@5 80.469 (80.228)
Epoch: [62][13790/14090]	Time 0.739 (0.765)	Data 0.002 (0.001)	Loss 2.0100 (1.9135)	Prec@1 46.875 (50.351)	Prec@5 78.906 (80.229)
Epoch: [62][13800/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 1.8488 (1.9135)	Prec@1 53.125 (50.351)	Prec@5 81.250 (80.229)
Epoch: [62][13810/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 1.8838 (1.9134)	Prec@1 54.688 (50.351)	Prec@5 82.812 (80.230)
Epoch: [62][13820/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 1.7429 (1.9135)	Prec@1 53.906 (50.350)	Prec@5 85.156 (80.230)
Epoch: [62][13830/14090]	Time 0.887 (0.765)	Data 0.001 (0.001)	Loss 2.1797 (1.9135)	Prec@1 42.969 (50.349)	Prec@5 78.906 (80.231)
Epoch: [62][13840/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 1.7631 (1.9135)	Prec@1 55.469 (50.349)	Prec@5 84.375 (80.232)
Epoch: [62][13850/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 1.9308 (1.9134)	Prec@1 46.875 (50.351)	Prec@5 78.906 (80.232)
Epoch: [62][13860/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.3046 (1.9135)	Prec@1 43.750 (50.349)	Prec@5 74.219 (80.231)
Epoch: [62][13870/14090]	Time 0.722 (0.765)	Data 0.001 (0.001)	Loss 1.7792 (1.9134)	Prec@1 52.344 (50.351)	Prec@5 84.375 (80.232)
Epoch: [62][13880/14090]	Time 0.777 (0.765)	Data 0.001 (0.001)	Loss 2.1205 (1.9134)	Prec@1 50.000 (50.351)	Prec@5 76.562 (80.232)
Epoch: [62][13890/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.0603 (1.9134)	Prec@1 42.969 (50.351)	Prec@5 78.125 (80.233)
Epoch: [62][13900/14090]	Time 0.880 (0.765)	Data 0.001 (0.001)	Loss 1.6948 (1.9133)	Prec@1 55.469 (50.353)	Prec@5 85.156 (80.233)
Epoch: [62][13910/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 1.8872 (1.9133)	Prec@1 53.125 (50.354)	Prec@5 83.594 (80.233)
Epoch: [62][13920/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 1.9025 (1.9133)	Prec@1 53.906 (50.354)	Prec@5 81.250 (80.233)
Epoch: [62][13930/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 1.8985 (1.9133)	Prec@1 55.469 (50.354)	Prec@5 76.562 (80.233)
Epoch: [62][13940/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.0574 (1.9133)	Prec@1 43.750 (50.355)	Prec@5 81.250 (80.232)
Epoch: [62][13950/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 1.7526 (1.9133)	Prec@1 57.031 (50.355)	Prec@5 80.469 (80.231)
Epoch: [62][13960/14090]	Time 0.721 (0.765)	Data 0.001 (0.001)	Loss 1.8517 (1.9133)	Prec@1 55.469 (50.354)	Prec@5 82.031 (80.231)
Epoch: [62][13970/14090]	Time 0.866 (0.765)	Data 0.001 (0.001)	Loss 1.9146 (1.9133)	Prec@1 51.562 (50.353)	Prec@5 79.688 (80.230)
Epoch: [62][13980/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.2412 (1.9134)	Prec@1 44.531 (50.353)	Prec@5 78.906 (80.230)
Epoch: [62][13990/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 1.9956 (1.9134)	Prec@1 43.750 (50.353)	Prec@5 82.031 (80.230)
Epoch: [62][14000/14090]	Time 0.786 (0.765)	Data 0.001 (0.001)	Loss 2.0861 (1.9134)	Prec@1 52.344 (50.353)	Prec@5 74.219 (80.229)
Epoch: [62][14010/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 1.9926 (1.9134)	Prec@1 44.531 (50.355)	Prec@5 76.562 (80.231)
Epoch: [62][14020/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.0126 (1.9134)	Prec@1 49.219 (50.355)	Prec@5 81.250 (80.230)
Epoch: [62][14030/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 1.8167 (1.9133)	Prec@1 50.000 (50.357)	Prec@5 84.375 (80.232)
Epoch: [62][14040/14090]	Time 0.828 (0.765)	Data 0.001 (0.001)	Loss 1.7680 (1.9132)	Prec@1 53.125 (50.358)	Prec@5 78.906 (80.233)
Epoch: [62][14050/14090]	Time 0.722 (0.765)	Data 0.001 (0.001)	Loss 1.9166 (1.9132)	Prec@1 48.438 (50.358)	Prec@5 81.250 (80.233)
Epoch: [62][14060/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 1.8083 (1.9132)	Prec@1 54.688 (50.359)	Prec@5 75.781 (80.232)
Epoch: [62][14070/14090]	Time 0.774 (0.765)	Data 0.001 (0.001)	Loss 1.9659 (1.9132)	Prec@1 49.219 (50.360)	Prec@5 82.031 (80.233)
Epoch: [62][14080/14090]	Time 0.735 (0.765)	Data 0.000 (0.001)	Loss 1.6359 (1.9132)	Prec@1 57.031 (50.360)	Prec@5 88.281 (80.233)
Test: [0/286]	Time 5.024 (5.024)	Loss 1.2874 (1.2874)	Prec@1 56.250 (56.250)	Prec@5 96.875 (96.875)
Test: [10/286]	Time 0.237 (0.836)	Loss 1.6880 (1.7972)	Prec@1 57.031 (53.480)	Prec@5 87.500 (84.446)
Test: [20/286]	Time 0.322 (0.660)	Loss 1.4281 (1.7151)	Prec@1 61.719 (54.613)	Prec@5 90.625 (85.528)
Test: [30/286]	Time 0.236 (0.594)	Loss 1.7416 (1.6246)	Prec@1 56.250 (57.334)	Prec@5 83.594 (86.215)
Test: [40/286]	Time 2.142 (0.598)	Loss 1.6857 (1.6356)	Prec@1 50.000 (56.936)	Prec@5 89.062 (86.261)
Test: [50/286]	Time 0.234 (0.567)	Loss 0.5034 (1.6358)	Prec@1 89.062 (56.526)	Prec@5 96.094 (86.412)
Test: [60/286]	Time 0.339 (0.549)	Loss 2.5963 (1.6695)	Prec@1 35.938 (55.891)	Prec@5 72.656 (85.246)
Test: [70/286]	Time 0.229 (0.533)	Loss 1.1450 (1.6454)	Prec@1 72.656 (56.393)	Prec@5 91.406 (85.596)
Test: [80/286]	Time 2.221 (0.546)	Loss 1.8586 (1.6783)	Prec@1 45.312 (55.266)	Prec@5 84.375 (85.204)
Test: [90/286]	Time 0.297 (0.536)	Loss 1.9046 (1.6908)	Prec@1 50.000 (55.005)	Prec@5 85.156 (85.079)
Test: [100/286]	Time 0.237 (0.527)	Loss 2.1278 (1.7030)	Prec@1 35.938 (54.525)	Prec@5 84.375 (85.087)
Test: [110/286]	Time 0.227 (0.520)	Loss 2.2323 (1.7188)	Prec@1 43.750 (54.089)	Prec@5 76.562 (85.030)
Test: [120/286]	Time 1.925 (0.526)	Loss 1.5446 (1.7039)	Prec@1 61.719 (54.649)	Prec@5 82.812 (85.214)
Test: [130/286]	Time 0.235 (0.521)	Loss 0.7339 (1.6948)	Prec@1 75.781 (54.860)	Prec@5 96.875 (85.293)
Test: [140/286]	Time 0.316 (0.516)	Loss 2.2746 (1.6899)	Prec@1 53.125 (54.965)	Prec@5 74.219 (85.267)
Test: [150/286]	Time 0.229 (0.511)	Loss 2.4922 (1.7023)	Prec@1 32.812 (54.470)	Prec@5 78.906 (85.187)
Test: [160/286]	Time 1.788 (0.516)	Loss 2.5472 (1.6994)	Prec@1 27.344 (54.552)	Prec@5 74.219 (85.229)
Test: [170/286]	Time 0.231 (0.515)	Loss 1.8682 (1.6915)	Prec@1 48.438 (54.683)	Prec@5 82.812 (85.371)
Test: [180/286]	Time 0.222 (0.511)	Loss 1.8457 (1.7038)	Prec@1 58.594 (54.381)	Prec@5 79.688 (85.169)
Test: [190/286]	Time 0.296 (0.508)	Loss 2.8782 (1.7231)	Prec@1 16.406 (53.882)	Prec@5 73.438 (84.931)
Test: [200/286]	Time 1.326 (0.510)	Loss 1.6342 (1.7167)	Prec@1 67.969 (54.081)	Prec@5 89.062 (84.966)
Test: [210/286]	Time 0.240 (0.509)	Loss 1.7970 (1.7224)	Prec@1 53.125 (53.917)	Prec@5 85.156 (84.882)
Test: [220/286]	Time 0.258 (0.506)	Loss 2.6106 (1.7280)	Prec@1 25.781 (53.850)	Prec@5 72.656 (84.736)
Test: [230/286]	Time 0.684 (0.505)	Loss 1.2099 (1.7260)	Prec@1 68.750 (53.933)	Prec@5 89.844 (84.737)
Test: [240/286]	Time 0.846 (0.506)	Loss 1.8236 (1.7243)	Prec@1 49.219 (54.004)	Prec@5 83.594 (84.745)
Test: [250/286]	Time 0.311 (0.506)	Loss 1.6185 (1.7152)	Prec@1 54.688 (54.109)	Prec@5 85.938 (84.923)
Test: [260/286]	Time 0.222 (0.504)	Loss 1.6710 (1.7052)	Prec@1 53.906 (54.373)	Prec@5 85.156 (85.090)
Test: [270/286]	Time 0.927 (0.505)	Loss 1.1415 (1.7054)	Prec@1 67.188 (54.405)	Prec@5 92.188 (85.139)
Test: [280/286]	Time 0.573 (0.504)	Loss 1.6478 (1.6907)	Prec@1 60.156 (54.929)	Prec@5 89.062 (85.262)
 * Prec@1 55.030 Prec@5 85.256
Epoch: [63][0/14090]	Time 6.619 (6.619)	Data 5.851 (5.851)	Loss 1.8815 (1.8815)	Prec@1 50.000 (50.000)	Prec@5 78.906 (78.906)
Epoch: [63][10/14090]	Time 0.825 (1.279)	Data 0.001 (0.533)	Loss 2.1271 (1.8839)	Prec@1 48.438 (51.491)	Prec@5 78.906 (81.676)
Epoch: [63][20/14090]	Time 0.744 (1.028)	Data 0.001 (0.279)	Loss 1.9300 (1.8874)	Prec@1 46.875 (50.818)	Prec@5 78.906 (81.585)
Epoch: [63][30/14090]	Time 0.753 (0.938)	Data 0.001 (0.190)	Loss 1.9102 (1.8835)	Prec@1 45.312 (50.403)	Prec@5 81.250 (81.477)
Epoch: [63][40/14090]	Time 0.724 (0.895)	Data 0.001 (0.143)	Loss 1.9039 (1.8765)	Prec@1 51.562 (50.686)	Prec@5 78.125 (81.383)
Epoch: [63][50/14090]	Time 0.759 (0.868)	Data 0.001 (0.115)	Loss 1.8387 (1.8810)	Prec@1 45.312 (50.414)	Prec@5 85.156 (81.541)
Epoch: [63][60/14090]	Time 0.736 (0.852)	Data 0.001 (0.097)	Loss 2.0442 (1.8843)	Prec@1 46.875 (50.359)	Prec@5 80.469 (81.442)
Epoch: [63][70/14090]	Time 0.759 (0.838)	Data 0.001 (0.083)	Loss 1.8473 (1.8825)	Prec@1 45.312 (50.275)	Prec@5 82.031 (81.349)
Epoch: [63][80/14090]	Time 0.867 (0.830)	Data 0.001 (0.073)	Loss 1.5980 (1.8913)	Prec@1 51.562 (50.019)	Prec@5 87.500 (81.298)
Epoch: [63][90/14090]	Time 0.747 (0.823)	Data 0.001 (0.065)	Loss 1.8614 (1.8881)	Prec@1 48.438 (50.172)	Prec@5 82.812 (81.422)
Epoch: [63][100/14090]	Time 0.724 (0.816)	Data 0.001 (0.059)	Loss 2.1465 (1.8935)	Prec@1 45.312 (50.178)	Prec@5 83.594 (81.343)
Epoch: [63][110/14090]	Time 0.770 (0.812)	Data 0.001 (0.053)	Loss 2.1441 (1.8941)	Prec@1 39.062 (50.211)	Prec@5 75.781 (81.215)
Epoch: [63][120/14090]	Time 0.758 (0.807)	Data 0.001 (0.049)	Loss 1.4875 (1.8966)	Prec@1 56.250 (50.213)	Prec@5 86.719 (81.024)
Epoch: [63][130/14090]	Time 0.728 (0.804)	Data 0.001 (0.045)	Loss 1.6694 (1.8977)	Prec@1 53.125 (50.322)	Prec@5 88.281 (81.011)
Epoch: [63][140/14090]	Time 0.764 (0.801)	Data 0.001 (0.042)	Loss 1.9611 (1.8977)	Prec@1 46.875 (50.305)	Prec@5 80.469 (81.039)
Epoch: [63][150/14090]	Time 0.890 (0.799)	Data 0.001 (0.040)	Loss 1.9893 (1.8999)	Prec@1 53.125 (50.305)	Prec@5 75.000 (80.940)
Epoch: [63][160/14090]	Time 0.726 (0.796)	Data 0.001 (0.037)	Loss 1.7362 (1.8972)	Prec@1 53.125 (50.417)	Prec@5 82.812 (80.905)
Epoch: [63][170/14090]	Time 0.728 (0.794)	Data 0.001 (0.035)	Loss 1.8242 (1.8983)	Prec@1 54.688 (50.525)	Prec@5 81.250 (80.912)
Epoch: [63][180/14090]	Time 0.787 (0.792)	Data 0.001 (0.033)	Loss 1.6754 (1.8958)	Prec@1 57.031 (50.561)	Prec@5 85.938 (80.913)
Epoch: [63][190/14090]	Time 0.749 (0.790)	Data 0.001 (0.031)	Loss 1.9613 (1.8945)	Prec@1 46.094 (50.536)	Prec@5 83.594 (80.976)
Epoch: [63][200/14090]	Time 0.743 (0.789)	Data 0.001 (0.030)	Loss 2.0412 (1.8949)	Prec@1 42.188 (50.606)	Prec@5 78.125 (80.920)
Epoch: [63][210/14090]	Time 0.740 (0.788)	Data 0.001 (0.029)	Loss 1.4632 (1.8955)	Prec@1 59.375 (50.596)	Prec@5 87.500 (80.872)
Epoch: [63][220/14090]	Time 0.887 (0.787)	Data 0.001 (0.027)	Loss 1.8507 (1.8962)	Prec@1 53.906 (50.562)	Prec@5 77.344 (80.819)
Epoch: [63][230/14090]	Time 0.753 (0.787)	Data 0.001 (0.026)	Loss 2.2245 (1.8985)	Prec@1 39.844 (50.433)	Prec@5 75.781 (80.773)
Epoch: [63][240/14090]	Time 0.725 (0.785)	Data 0.001 (0.025)	Loss 1.8423 (1.8988)	Prec@1 43.750 (50.344)	Prec@5 82.031 (80.741)
Epoch: [63][250/14090]	Time 0.727 (0.785)	Data 0.001 (0.024)	Loss 1.8728 (1.8993)	Prec@1 48.438 (50.336)	Prec@5 78.125 (80.693)
Epoch: [63][260/14090]	Time 0.760 (0.784)	Data 0.001 (0.023)	Loss 1.7781 (1.8955)	Prec@1 51.562 (50.428)	Prec@5 87.500 (80.810)
Epoch: [63][270/14090]	Time 0.756 (0.783)	Data 0.001 (0.022)	Loss 1.9596 (1.8961)	Prec@1 49.219 (50.378)	Prec@5 78.906 (80.771)
Epoch: [63][280/14090]	Time 0.731 (0.782)	Data 0.001 (0.022)	Loss 1.9319 (1.8979)	Prec@1 48.438 (50.342)	Prec@5 82.031 (80.716)
Epoch: [63][290/14090]	Time 0.880 (0.782)	Data 0.001 (0.021)	Loss 2.0192 (1.8974)	Prec@1 42.969 (50.344)	Prec@5 77.344 (80.708)
Epoch: [63][300/14090]	Time 0.775 (0.781)	Data 0.001 (0.020)	Loss 2.0750 (1.8986)	Prec@1 50.000 (50.337)	Prec@5 76.562 (80.682)
Epoch: [63][310/14090]	Time 0.729 (0.780)	Data 0.001 (0.020)	Loss 1.7111 (1.8989)	Prec@1 55.469 (50.337)	Prec@5 82.031 (80.640)
Epoch: [63][320/14090]	Time 0.755 (0.780)	Data 0.001 (0.019)	Loss 1.9060 (1.8991)	Prec@1 49.219 (50.363)	Prec@5 79.688 (80.598)
Epoch: [63][330/14090]	Time 0.740 (0.780)	Data 0.001 (0.018)	Loss 1.8600 (1.8998)	Prec@1 51.562 (50.340)	Prec@5 80.469 (80.570)
Epoch: [63][340/14090]	Time 0.745 (0.779)	Data 0.001 (0.018)	Loss 1.8046 (1.8996)	Prec@1 51.562 (50.371)	Prec@5 83.594 (80.570)
Epoch: [63][350/14090]	Time 0.762 (0.778)	Data 0.001 (0.017)	Loss 1.7008 (1.8960)	Prec@1 57.031 (50.483)	Prec@5 82.031 (80.653)
Epoch: [63][360/14090]	Time 0.886 (0.778)	Data 0.001 (0.017)	Loss 1.9099 (1.8958)	Prec@1 53.906 (50.509)	Prec@5 82.031 (80.666)
Epoch: [63][370/14090]	Time 0.729 (0.778)	Data 0.001 (0.017)	Loss 1.7328 (1.8955)	Prec@1 56.250 (50.539)	Prec@5 83.594 (80.686)
Epoch: [63][380/14090]	Time 0.773 (0.777)	Data 0.001 (0.016)	Loss 2.3143 (1.8953)	Prec@1 43.750 (50.574)	Prec@5 75.781 (80.676)
Epoch: [63][390/14090]	Time 0.770 (0.777)	Data 0.001 (0.016)	Loss 1.8876 (1.8960)	Prec@1 51.562 (50.601)	Prec@5 78.906 (80.627)
Epoch: [63][400/14090]	Time 0.746 (0.777)	Data 0.001 (0.015)	Loss 1.5961 (1.8950)	Prec@1 57.031 (50.639)	Prec@5 84.375 (80.619)
Epoch: [63][410/14090]	Time 0.749 (0.776)	Data 0.001 (0.015)	Loss 1.6529 (1.8934)	Prec@1 56.250 (50.661)	Prec@5 85.938 (80.646)
Epoch: [63][420/14090]	Time 0.728 (0.776)	Data 0.001 (0.015)	Loss 1.7694 (1.8934)	Prec@1 52.344 (50.690)	Prec@5 82.031 (80.656)
Epoch: [63][430/14090]	Time 0.859 (0.776)	Data 0.001 (0.014)	Loss 1.8492 (1.8947)	Prec@1 50.781 (50.651)	Prec@5 83.594 (80.652)
Epoch: [63][440/14090]	Time 0.732 (0.775)	Data 0.001 (0.014)	Loss 1.6672 (1.8943)	Prec@1 56.250 (50.640)	Prec@5 85.156 (80.653)
Epoch: [63][450/14090]	Time 0.734 (0.775)	Data 0.001 (0.014)	Loss 1.9289 (1.8944)	Prec@1 48.438 (50.646)	Prec@5 79.688 (80.664)
Epoch: [63][460/14090]	Time 0.748 (0.775)	Data 0.001 (0.014)	Loss 1.8360 (1.8945)	Prec@1 54.688 (50.663)	Prec@5 82.031 (80.650)
Epoch: [63][470/14090]	Time 0.742 (0.775)	Data 0.001 (0.013)	Loss 1.9789 (1.8940)	Prec@1 48.438 (50.670)	Prec@5 78.906 (80.633)
Epoch: [63][480/14090]	Time 0.753 (0.774)	Data 0.001 (0.013)	Loss 1.8440 (1.8930)	Prec@1 54.688 (50.741)	Prec@5 82.812 (80.649)
Epoch: [63][490/14090]	Time 0.760 (0.774)	Data 0.001 (0.013)	Loss 1.6185 (1.8940)	Prec@1 56.250 (50.714)	Prec@5 82.812 (80.631)
Epoch: [63][500/14090]	Time 0.861 (0.774)	Data 0.001 (0.012)	Loss 1.8968 (1.8942)	Prec@1 43.750 (50.681)	Prec@5 83.594 (80.628)
Epoch: [63][510/14090]	Time 0.735 (0.774)	Data 0.001 (0.012)	Loss 1.9499 (1.8940)	Prec@1 46.875 (50.674)	Prec@5 80.469 (80.632)
Epoch: [63][520/14090]	Time 0.745 (0.774)	Data 0.001 (0.012)	Loss 2.0398 (1.8936)	Prec@1 52.344 (50.697)	Prec@5 80.469 (80.641)
Epoch: [63][530/14090]	Time 0.762 (0.773)	Data 0.001 (0.012)	Loss 1.6627 (1.8932)	Prec@1 55.469 (50.699)	Prec@5 85.156 (80.653)
Epoch: [63][540/14090]	Time 0.731 (0.773)	Data 0.001 (0.012)	Loss 2.1415 (1.8929)	Prec@1 41.406 (50.690)	Prec@5 82.031 (80.662)
Epoch: [63][550/14090]	Time 0.744 (0.773)	Data 0.001 (0.011)	Loss 1.7488 (1.8933)	Prec@1 54.688 (50.682)	Prec@5 83.594 (80.653)
Epoch: [63][560/14090]	Time 0.744 (0.773)	Data 0.001 (0.011)	Loss 1.9147 (1.8927)	Prec@1 48.438 (50.712)	Prec@5 82.812 (80.672)
Epoch: [63][570/14090]	Time 0.890 (0.773)	Data 0.001 (0.011)	Loss 2.0362 (1.8935)	Prec@1 50.781 (50.701)	Prec@5 77.344 (80.662)
Epoch: [63][580/14090]	Time 0.752 (0.772)	Data 0.001 (0.011)	Loss 1.9079 (1.8943)	Prec@1 49.219 (50.695)	Prec@5 77.344 (80.637)
Epoch: [63][590/14090]	Time 0.731 (0.772)	Data 0.001 (0.011)	Loss 1.8274 (1.8941)	Prec@1 49.219 (50.719)	Prec@5 82.812 (80.639)
Epoch: [63][600/14090]	Time 0.755 (0.772)	Data 0.001 (0.011)	Loss 2.1705 (1.8954)	Prec@1 45.312 (50.697)	Prec@5 72.656 (80.605)
Epoch: [63][610/14090]	Time 0.739 (0.772)	Data 0.001 (0.010)	Loss 1.9519 (1.8965)	Prec@1 53.125 (50.698)	Prec@5 78.906 (80.589)
Epoch: [63][620/14090]	Time 0.756 (0.772)	Data 0.001 (0.010)	Loss 1.7378 (1.8965)	Prec@1 53.906 (50.710)	Prec@5 80.469 (80.578)
Epoch: [63][630/14090]	Time 0.783 (0.773)	Data 0.001 (0.010)	Loss 2.0003 (1.8967)	Prec@1 53.125 (50.732)	Prec@5 81.250 (80.573)
Epoch: [63][640/14090]	Time 0.813 (0.773)	Data 0.001 (0.010)	Loss 1.8747 (1.8964)	Prec@1 49.219 (50.745)	Prec@5 81.250 (80.572)
Epoch: [63][650/14090]	Time 0.758 (0.772)	Data 0.001 (0.010)	Loss 1.8613 (1.8963)	Prec@1 51.562 (50.721)	Prec@5 83.594 (80.596)
Epoch: [63][660/14090]	Time 0.739 (0.772)	Data 0.001 (0.010)	Loss 1.9193 (1.8960)	Prec@1 53.125 (50.743)	Prec@5 83.594 (80.596)
Epoch: [63][670/14090]	Time 0.751 (0.772)	Data 0.001 (0.010)	Loss 1.5788 (1.8964)	Prec@1 57.812 (50.723)	Prec@5 87.500 (80.583)
Epoch: [63][680/14090]	Time 0.752 (0.772)	Data 0.001 (0.009)	Loss 1.7373 (1.8967)	Prec@1 53.125 (50.726)	Prec@5 83.594 (80.581)
Epoch: [63][690/14090]	Time 0.731 (0.772)	Data 0.001 (0.009)	Loss 1.8420 (1.8975)	Prec@1 46.875 (50.705)	Prec@5 82.812 (80.555)
Epoch: [63][700/14090]	Time 0.739 (0.772)	Data 0.001 (0.009)	Loss 1.6724 (1.8982)	Prec@1 53.125 (50.711)	Prec@5 81.250 (80.527)
Epoch: [63][710/14090]	Time 0.882 (0.772)	Data 0.001 (0.009)	Loss 1.9790 (1.8981)	Prec@1 46.875 (50.714)	Prec@5 80.469 (80.530)
Epoch: [63][720/14090]	Time 0.756 (0.772)	Data 0.001 (0.009)	Loss 1.6796 (1.8987)	Prec@1 53.125 (50.695)	Prec@5 84.375 (80.525)
Epoch: [63][730/14090]	Time 0.748 (0.771)	Data 0.001 (0.009)	Loss 1.9368 (1.8977)	Prec@1 54.688 (50.729)	Prec@5 76.562 (80.544)
Epoch: [63][740/14090]	Time 0.759 (0.771)	Data 0.001 (0.009)	Loss 2.0147 (1.8978)	Prec@1 50.000 (50.737)	Prec@5 80.469 (80.556)
Epoch: [63][750/14090]	Time 0.733 (0.771)	Data 0.001 (0.009)	Loss 1.9513 (1.8972)	Prec@1 43.750 (50.749)	Prec@5 79.688 (80.568)
Epoch: [63][760/14090]	Time 0.756 (0.771)	Data 0.001 (0.009)	Loss 2.1017 (1.8975)	Prec@1 49.219 (50.724)	Prec@5 76.562 (80.582)
Epoch: [63][770/14090]	Time 0.727 (0.771)	Data 0.001 (0.008)	Loss 1.7593 (1.8970)	Prec@1 63.281 (50.750)	Prec@5 80.469 (80.571)
Epoch: [63][780/14090]	Time 0.990 (0.771)	Data 0.001 (0.008)	Loss 1.9948 (1.8974)	Prec@1 47.656 (50.725)	Prec@5 75.781 (80.564)
Epoch: [63][790/14090]	Time 0.756 (0.771)	Data 0.001 (0.008)	Loss 1.8919 (1.8973)	Prec@1 50.000 (50.752)	Prec@5 78.125 (80.566)
Epoch: [63][800/14090]	Time 0.734 (0.771)	Data 0.001 (0.008)	Loss 1.9832 (1.8980)	Prec@1 52.344 (50.740)	Prec@5 84.375 (80.560)
Epoch: [63][810/14090]	Time 0.757 (0.771)	Data 0.001 (0.008)	Loss 1.8287 (1.8985)	Prec@1 50.781 (50.720)	Prec@5 82.031 (80.554)
Epoch: [63][820/14090]	Time 0.744 (0.771)	Data 0.001 (0.008)	Loss 1.9090 (1.8984)	Prec@1 49.219 (50.697)	Prec@5 82.031 (80.545)
Epoch: [63][830/14090]	Time 0.751 (0.770)	Data 0.001 (0.008)	Loss 2.1112 (1.8991)	Prec@1 46.875 (50.683)	Prec@5 76.562 (80.531)
Epoch: [63][840/14090]	Time 0.730 (0.770)	Data 0.001 (0.008)	Loss 1.9320 (1.8992)	Prec@1 53.906 (50.697)	Prec@5 78.906 (80.530)
Epoch: [63][850/14090]	Time 0.867 (0.770)	Data 0.001 (0.008)	Loss 1.6729 (1.8979)	Prec@1 59.375 (50.722)	Prec@5 82.812 (80.563)
Epoch: [63][860/14090]	Time 0.734 (0.770)	Data 0.001 (0.008)	Loss 1.9978 (1.8980)	Prec@1 49.219 (50.720)	Prec@5 78.125 (80.568)
Epoch: [63][870/14090]	Time 0.756 (0.770)	Data 0.001 (0.008)	Loss 1.9294 (1.8984)	Prec@1 50.781 (50.706)	Prec@5 81.250 (80.565)
Epoch: [63][880/14090]	Time 0.726 (0.770)	Data 0.001 (0.007)	Loss 1.9031 (1.8985)	Prec@1 46.875 (50.706)	Prec@5 83.594 (80.557)
Epoch: [63][890/14090]	Time 0.752 (0.770)	Data 0.001 (0.007)	Loss 1.7488 (1.8986)	Prec@1 55.469 (50.690)	Prec@5 82.031 (80.554)
Epoch: [63][900/14090]	Time 0.732 (0.770)	Data 0.001 (0.007)	Loss 2.0166 (1.8986)	Prec@1 49.219 (50.702)	Prec@5 78.906 (80.546)
Epoch: [63][910/14090]	Time 0.723 (0.770)	Data 0.001 (0.007)	Loss 1.7110 (1.8978)	Prec@1 57.031 (50.723)	Prec@5 83.594 (80.561)
Epoch: [63][920/14090]	Time 0.825 (0.770)	Data 0.001 (0.007)	Loss 1.7407 (1.8969)	Prec@1 54.688 (50.741)	Prec@5 82.812 (80.574)
Epoch: [63][930/14090]	Time 0.734 (0.769)	Data 0.001 (0.007)	Loss 2.0733 (1.8963)	Prec@1 44.531 (50.738)	Prec@5 76.562 (80.593)
Epoch: [63][940/14090]	Time 0.744 (0.769)	Data 0.001 (0.007)	Loss 1.7520 (1.8962)	Prec@1 53.906 (50.733)	Prec@5 84.375 (80.590)
Epoch: [63][950/14090]	Time 0.733 (0.769)	Data 0.001 (0.007)	Loss 2.1145 (1.8970)	Prec@1 49.219 (50.713)	Prec@5 78.125 (80.584)
Epoch: [63][960/14090]	Time 0.729 (0.769)	Data 0.001 (0.007)	Loss 1.8311 (1.8985)	Prec@1 52.344 (50.682)	Prec@5 78.125 (80.567)
Epoch: [63][970/14090]	Time 0.755 (0.769)	Data 0.001 (0.007)	Loss 1.7845 (1.8979)	Prec@1 54.688 (50.708)	Prec@5 79.688 (80.564)
Epoch: [63][980/14090]	Time 0.773 (0.769)	Data 0.001 (0.007)	Loss 2.1629 (1.8981)	Prec@1 46.094 (50.697)	Prec@5 75.781 (80.553)
Epoch: [63][990/14090]	Time 0.906 (0.769)	Data 0.001 (0.007)	Loss 1.9646 (1.8978)	Prec@1 49.219 (50.702)	Prec@5 77.344 (80.565)
Epoch: [63][1000/14090]	Time 0.732 (0.769)	Data 0.001 (0.007)	Loss 1.8908 (1.8989)	Prec@1 50.781 (50.686)	Prec@5 79.688 (80.532)
Epoch: [63][1010/14090]	Time 0.764 (0.769)	Data 0.001 (0.007)	Loss 2.2908 (1.8993)	Prec@1 42.188 (50.678)	Prec@5 74.219 (80.523)
Epoch: [63][1020/14090]	Time 0.729 (0.769)	Data 0.001 (0.007)	Loss 2.0898 (1.8995)	Prec@1 42.969 (50.666)	Prec@5 75.781 (80.512)
Epoch: [63][1030/14090]	Time 0.735 (0.769)	Data 0.001 (0.007)	Loss 2.0227 (1.9000)	Prec@1 50.000 (50.652)	Prec@5 78.906 (80.518)
Epoch: [63][1040/14090]	Time 0.725 (0.769)	Data 0.001 (0.006)	Loss 2.0068 (1.9005)	Prec@1 53.125 (50.645)	Prec@5 82.812 (80.516)
Epoch: [63][1050/14090]	Time 0.727 (0.769)	Data 0.001 (0.006)	Loss 1.8475 (1.9007)	Prec@1 46.875 (50.633)	Prec@5 81.250 (80.500)
Epoch: [63][1060/14090]	Time 0.875 (0.769)	Data 0.001 (0.006)	Loss 1.7615 (1.8999)	Prec@1 52.344 (50.644)	Prec@5 81.250 (80.514)
Epoch: [63][1070/14090]	Time 0.770 (0.769)	Data 0.001 (0.006)	Loss 1.8924 (1.8999)	Prec@1 48.438 (50.651)	Prec@5 82.812 (80.518)
Epoch: [63][1080/14090]	Time 0.746 (0.769)	Data 0.001 (0.006)	Loss 2.3159 (1.9006)	Prec@1 46.094 (50.646)	Prec@5 75.781 (80.508)
Epoch: [63][1090/14090]	Time 0.754 (0.769)	Data 0.001 (0.006)	Loss 2.0726 (1.9016)	Prec@1 48.438 (50.625)	Prec@5 77.344 (80.486)
Epoch: [63][1100/14090]	Time 0.745 (0.769)	Data 0.001 (0.006)	Loss 1.9606 (1.9025)	Prec@1 51.562 (50.604)	Prec@5 80.469 (80.466)
Epoch: [63][1110/14090]	Time 0.760 (0.769)	Data 0.002 (0.006)	Loss 1.9473 (1.9023)	Prec@1 45.312 (50.605)	Prec@5 78.906 (80.461)
Epoch: [63][1120/14090]	Time 0.752 (0.769)	Data 0.001 (0.006)	Loss 1.6886 (1.9016)	Prec@1 53.906 (50.615)	Prec@5 85.156 (80.476)
Epoch: [63][1130/14090]	Time 1.048 (0.769)	Data 0.001 (0.006)	Loss 1.9551 (1.9012)	Prec@1 51.562 (50.617)	Prec@5 82.812 (80.484)
Epoch: [63][1140/14090]	Time 0.730 (0.769)	Data 0.001 (0.006)	Loss 1.6942 (1.9011)	Prec@1 50.000 (50.613)	Prec@5 86.719 (80.493)
Epoch: [63][1150/14090]	Time 0.744 (0.769)	Data 0.001 (0.006)	Loss 1.8145 (1.9012)	Prec@1 54.688 (50.614)	Prec@5 84.375 (80.490)
Epoch: [63][1160/14090]	Time 0.734 (0.769)	Data 0.001 (0.006)	Loss 2.0756 (1.9010)	Prec@1 46.875 (50.644)	Prec@5 80.469 (80.497)
Epoch: [63][1170/14090]	Time 0.767 (0.769)	Data 0.001 (0.006)	Loss 2.0709 (1.9013)	Prec@1 49.219 (50.648)	Prec@5 73.438 (80.483)
Epoch: [63][1180/14090]	Time 0.727 (0.769)	Data 0.001 (0.006)	Loss 1.9733 (1.9017)	Prec@1 46.875 (50.639)	Prec@5 78.125 (80.468)
Epoch: [63][1190/14090]	Time 0.760 (0.769)	Data 0.001 (0.006)	Loss 1.9238 (1.9014)	Prec@1 45.312 (50.642)	Prec@5 83.594 (80.482)
Epoch: [63][1200/14090]	Time 0.840 (0.769)	Data 0.001 (0.006)	Loss 1.8751 (1.9014)	Prec@1 54.688 (50.643)	Prec@5 78.906 (80.488)
Epoch: [63][1210/14090]	Time 0.725 (0.768)	Data 0.001 (0.006)	Loss 2.0689 (1.9012)	Prec@1 44.531 (50.634)	Prec@5 78.906 (80.495)
Epoch: [63][1220/14090]	Time 0.739 (0.768)	Data 0.001 (0.006)	Loss 1.6761 (1.9010)	Prec@1 56.250 (50.637)	Prec@5 85.156 (80.506)
Epoch: [63][1230/14090]	Time 0.764 (0.768)	Data 0.001 (0.006)	Loss 1.8151 (1.9008)	Prec@1 53.125 (50.647)	Prec@5 79.688 (80.509)
Epoch: [63][1240/14090]	Time 0.724 (0.768)	Data 0.001 (0.006)	Loss 1.7174 (1.9006)	Prec@1 60.938 (50.646)	Prec@5 82.031 (80.510)
Epoch: [63][1250/14090]	Time 0.757 (0.768)	Data 0.001 (0.006)	Loss 2.0462 (1.9009)	Prec@1 42.969 (50.629)	Prec@5 75.781 (80.508)
Epoch: [63][1260/14090]	Time 0.750 (0.768)	Data 0.001 (0.005)	Loss 1.9529 (1.9013)	Prec@1 45.312 (50.627)	Prec@5 78.906 (80.498)
Epoch: [63][1270/14090]	Time 0.888 (0.768)	Data 0.002 (0.005)	Loss 2.0980 (1.9017)	Prec@1 43.750 (50.623)	Prec@5 82.031 (80.496)
Epoch: [63][1280/14090]	Time 0.763 (0.768)	Data 0.001 (0.005)	Loss 1.8884 (1.9014)	Prec@1 50.781 (50.617)	Prec@5 80.469 (80.509)
Epoch: [63][1290/14090]	Time 0.748 (0.768)	Data 0.001 (0.005)	Loss 1.8329 (1.9021)	Prec@1 57.031 (50.609)	Prec@5 78.906 (80.495)
Epoch: [63][1300/14090]	Time 0.755 (0.768)	Data 0.001 (0.005)	Loss 1.9763 (1.9026)	Prec@1 56.250 (50.602)	Prec@5 79.688 (80.490)
Epoch: [63][1310/14090]	Time 0.758 (0.768)	Data 0.001 (0.005)	Loss 1.8541 (1.9023)	Prec@1 53.125 (50.602)	Prec@5 82.031 (80.494)
Epoch: [63][1320/14090]	Time 0.729 (0.768)	Data 0.001 (0.005)	Loss 1.9530 (1.9022)	Prec@1 48.438 (50.597)	Prec@5 81.250 (80.497)
Epoch: [63][1330/14090]	Time 0.738 (0.768)	Data 0.001 (0.005)	Loss 1.9703 (1.9018)	Prec@1 48.438 (50.595)	Prec@5 77.344 (80.517)
Epoch: [63][1340/14090]	Time 0.849 (0.768)	Data 0.001 (0.005)	Loss 2.0113 (1.9018)	Prec@1 42.188 (50.593)	Prec@5 78.906 (80.515)
Epoch: [63][1350/14090]	Time 0.768 (0.767)	Data 0.001 (0.005)	Loss 2.0104 (1.9016)	Prec@1 57.812 (50.597)	Prec@5 75.781 (80.518)
Epoch: [63][1360/14090]	Time 0.765 (0.767)	Data 0.001 (0.005)	Loss 1.7773 (1.9017)	Prec@1 50.781 (50.591)	Prec@5 82.812 (80.519)
Epoch: [63][1370/14090]	Time 0.741 (0.767)	Data 0.001 (0.005)	Loss 1.5505 (1.9013)	Prec@1 60.156 (50.610)	Prec@5 85.156 (80.522)
Epoch: [63][1380/14090]	Time 0.733 (0.767)	Data 0.001 (0.005)	Loss 1.8336 (1.9017)	Prec@1 53.125 (50.607)	Prec@5 80.469 (80.517)
Epoch: [63][1390/14090]	Time 0.771 (0.767)	Data 0.001 (0.005)	Loss 1.8389 (1.9015)	Prec@1 55.469 (50.630)	Prec@5 81.250 (80.523)
Epoch: [63][1400/14090]	Time 0.736 (0.767)	Data 0.001 (0.005)	Loss 2.0130 (1.9015)	Prec@1 50.781 (50.631)	Prec@5 82.031 (80.530)
Epoch: [63][1410/14090]	Time 0.872 (0.767)	Data 0.001 (0.005)	Loss 1.9480 (1.9018)	Prec@1 50.000 (50.626)	Prec@5 79.688 (80.524)
Epoch: [63][1420/14090]	Time 0.722 (0.767)	Data 0.001 (0.005)	Loss 2.0817 (1.9015)	Prec@1 50.000 (50.632)	Prec@5 76.562 (80.528)
Epoch: [63][1430/14090]	Time 0.740 (0.767)	Data 0.001 (0.005)	Loss 1.4339 (1.9015)	Prec@1 60.156 (50.628)	Prec@5 90.625 (80.527)
Epoch: [63][1440/14090]	Time 0.762 (0.767)	Data 0.001 (0.005)	Loss 2.0680 (1.9014)	Prec@1 45.312 (50.626)	Prec@5 77.344 (80.528)
Epoch: [63][1450/14090]	Time 0.754 (0.767)	Data 0.001 (0.005)	Loss 1.7710 (1.9011)	Prec@1 53.906 (50.636)	Prec@5 83.594 (80.529)
Epoch: [63][1460/14090]	Time 0.755 (0.767)	Data 0.001 (0.005)	Loss 1.9523 (1.9013)	Prec@1 52.344 (50.626)	Prec@5 82.031 (80.523)
Epoch: [63][1470/14090]	Time 0.727 (0.767)	Data 0.001 (0.005)	Loss 1.8032 (1.9013)	Prec@1 52.344 (50.625)	Prec@5 77.344 (80.523)
Epoch: [63][1480/14090]	Time 0.864 (0.767)	Data 0.001 (0.005)	Loss 1.8761 (1.9013)	Prec@1 50.000 (50.627)	Prec@5 80.469 (80.519)
Epoch: [63][1490/14090]	Time 0.733 (0.767)	Data 0.001 (0.005)	Loss 2.2460 (1.9016)	Prec@1 42.969 (50.621)	Prec@5 74.219 (80.511)
Epoch: [63][1500/14090]	Time 0.745 (0.767)	Data 0.001 (0.005)	Loss 1.9499 (1.9014)	Prec@1 46.875 (50.625)	Prec@5 79.688 (80.509)
Epoch: [63][1510/14090]	Time 0.745 (0.767)	Data 0.001 (0.005)	Loss 1.7198 (1.9016)	Prec@1 54.688 (50.628)	Prec@5 80.469 (80.506)
Epoch: [63][1520/14090]	Time 0.742 (0.767)	Data 0.001 (0.005)	Loss 1.9135 (1.9016)	Prec@1 46.875 (50.615)	Prec@5 85.938 (80.517)
Epoch: [63][1530/14090]	Time 0.725 (0.767)	Data 0.001 (0.005)	Loss 1.7148 (1.9016)	Prec@1 57.031 (50.618)	Prec@5 80.469 (80.516)
Epoch: [63][1540/14090]	Time 0.744 (0.767)	Data 0.001 (0.005)	Loss 2.0457 (1.9014)	Prec@1 45.312 (50.624)	Prec@5 79.688 (80.516)
Epoch: [63][1550/14090]	Time 0.928 (0.767)	Data 0.001 (0.005)	Loss 1.7640 (1.9016)	Prec@1 50.000 (50.619)	Prec@5 83.594 (80.515)
Epoch: [63][1560/14090]	Time 0.739 (0.767)	Data 0.001 (0.005)	Loss 2.1696 (1.9018)	Prec@1 42.969 (50.613)	Prec@5 75.781 (80.511)
Epoch: [63][1570/14090]	Time 0.748 (0.767)	Data 0.001 (0.005)	Loss 1.7905 (1.9025)	Prec@1 56.250 (50.607)	Prec@5 85.938 (80.494)
Epoch: [63][1580/14090]	Time 0.759 (0.767)	Data 0.001 (0.005)	Loss 2.0411 (1.9023)	Prec@1 50.000 (50.615)	Prec@5 77.344 (80.494)
Epoch: [63][1590/14090]	Time 0.748 (0.767)	Data 0.001 (0.005)	Loss 1.7529 (1.9025)	Prec@1 56.250 (50.620)	Prec@5 80.469 (80.483)
Epoch: [63][1600/14090]	Time 0.733 (0.767)	Data 0.001 (0.005)	Loss 1.8676 (1.9026)	Prec@1 54.688 (50.628)	Prec@5 78.125 (80.477)
Epoch: [63][1610/14090]	Time 0.751 (0.767)	Data 0.001 (0.004)	Loss 1.9538 (1.9021)	Prec@1 46.875 (50.636)	Prec@5 82.812 (80.490)
Epoch: [63][1620/14090]	Time 0.861 (0.767)	Data 0.001 (0.004)	Loss 1.7878 (1.9024)	Prec@1 54.688 (50.635)	Prec@5 81.250 (80.482)
Epoch: [63][1630/14090]	Time 0.727 (0.767)	Data 0.003 (0.004)	Loss 1.6991 (1.9023)	Prec@1 52.344 (50.636)	Prec@5 82.812 (80.487)
Epoch: [63][1640/14090]	Time 0.734 (0.767)	Data 0.001 (0.004)	Loss 1.9059 (1.9026)	Prec@1 49.219 (50.619)	Prec@5 80.469 (80.488)
Epoch: [63][1650/14090]	Time 0.744 (0.767)	Data 0.001 (0.004)	Loss 2.2593 (1.9030)	Prec@1 42.188 (50.602)	Prec@5 72.656 (80.478)
Epoch: [63][1660/14090]	Time 0.724 (0.767)	Data 0.001 (0.004)	Loss 1.8484 (1.9028)	Prec@1 56.250 (50.615)	Prec@5 82.812 (80.469)
Epoch: [63][1670/14090]	Time 0.764 (0.767)	Data 0.001 (0.004)	Loss 2.0126 (1.9030)	Prec@1 52.344 (50.606)	Prec@5 74.219 (80.460)
Epoch: [63][1680/14090]	Time 0.767 (0.767)	Data 0.001 (0.004)	Loss 2.0000 (1.9028)	Prec@1 52.344 (50.615)	Prec@5 76.562 (80.461)
Epoch: [63][1690/14090]	Time 0.882 (0.767)	Data 0.001 (0.004)	Loss 1.6713 (1.9033)	Prec@1 53.906 (50.607)	Prec@5 86.719 (80.454)
Epoch: [63][1700/14090]	Time 0.729 (0.767)	Data 0.001 (0.004)	Loss 1.8358 (1.9034)	Prec@1 53.906 (50.597)	Prec@5 81.250 (80.454)
Epoch: [63][1710/14090]	Time 0.749 (0.767)	Data 0.001 (0.004)	Loss 1.8776 (1.9034)	Prec@1 50.000 (50.596)	Prec@5 79.688 (80.456)
Epoch: [63][1720/14090]	Time 0.748 (0.767)	Data 0.001 (0.004)	Loss 1.9705 (1.9033)	Prec@1 47.656 (50.606)	Prec@5 79.688 (80.453)
Epoch: [63][1730/14090]	Time 0.762 (0.767)	Data 0.001 (0.004)	Loss 1.8044 (1.9032)	Prec@1 50.000 (50.606)	Prec@5 82.031 (80.454)
Epoch: [63][1740/14090]	Time 0.776 (0.767)	Data 0.001 (0.004)	Loss 1.9718 (1.9024)	Prec@1 50.781 (50.619)	Prec@5 79.688 (80.471)
Epoch: [63][1750/14090]	Time 0.750 (0.767)	Data 0.001 (0.004)	Loss 1.7293 (1.9023)	Prec@1 53.125 (50.612)	Prec@5 87.500 (80.471)
Epoch: [63][1760/14090]	Time 0.873 (0.767)	Data 0.001 (0.004)	Loss 1.8044 (1.9024)	Prec@1 50.000 (50.605)	Prec@5 82.031 (80.467)
Epoch: [63][1770/14090]	Time 0.738 (0.767)	Data 0.001 (0.004)	Loss 1.9023 (1.9025)	Prec@1 53.906 (50.606)	Prec@5 78.125 (80.461)
Epoch: [63][1780/14090]	Time 0.743 (0.767)	Data 0.001 (0.004)	Loss 1.8463 (1.9023)	Prec@1 45.312 (50.604)	Prec@5 84.375 (80.468)
Epoch: [63][1790/14090]	Time 0.752 (0.767)	Data 0.001 (0.004)	Loss 2.0538 (1.9022)	Prec@1 49.219 (50.602)	Prec@5 76.562 (80.474)
Epoch: [63][1800/14090]	Time 0.773 (0.767)	Data 0.001 (0.004)	Loss 1.9955 (1.9022)	Prec@1 51.562 (50.607)	Prec@5 80.469 (80.473)
Epoch: [63][1810/14090]	Time 0.736 (0.767)	Data 0.001 (0.004)	Loss 1.9088 (1.9023)	Prec@1 52.344 (50.605)	Prec@5 82.031 (80.474)
Epoch: [63][1820/14090]	Time 0.721 (0.767)	Data 0.001 (0.004)	Loss 2.0675 (1.9019)	Prec@1 45.312 (50.615)	Prec@5 78.906 (80.479)
Epoch: [63][1830/14090]	Time 0.903 (0.767)	Data 0.001 (0.004)	Loss 2.0747 (1.9023)	Prec@1 49.219 (50.617)	Prec@5 76.562 (80.470)
Epoch: [63][1840/14090]	Time 0.762 (0.767)	Data 0.001 (0.004)	Loss 1.9813 (1.9025)	Prec@1 53.906 (50.620)	Prec@5 78.125 (80.470)
Epoch: [63][1850/14090]	Time 0.731 (0.766)	Data 0.001 (0.004)	Loss 1.7086 (1.9025)	Prec@1 57.812 (50.625)	Prec@5 80.469 (80.468)
Epoch: [63][1860/14090]	Time 0.754 (0.766)	Data 0.001 (0.004)	Loss 1.6628 (1.9023)	Prec@1 54.688 (50.627)	Prec@5 83.594 (80.470)
Epoch: [63][1870/14090]	Time 0.797 (0.766)	Data 0.001 (0.004)	Loss 1.8784 (1.9029)	Prec@1 48.438 (50.610)	Prec@5 83.594 (80.457)
Epoch: [63][1880/14090]	Time 0.743 (0.767)	Data 0.001 (0.004)	Loss 1.7113 (1.9025)	Prec@1 50.781 (50.616)	Prec@5 85.156 (80.463)
Epoch: [63][1890/14090]	Time 0.725 (0.766)	Data 0.001 (0.004)	Loss 1.6555 (1.9022)	Prec@1 58.594 (50.624)	Prec@5 84.375 (80.470)
Epoch: [63][1900/14090]	Time 0.885 (0.766)	Data 0.001 (0.004)	Loss 2.0490 (1.9016)	Prec@1 46.094 (50.637)	Prec@5 76.562 (80.483)
Epoch: [63][1910/14090]	Time 0.719 (0.766)	Data 0.001 (0.004)	Loss 1.9512 (1.9015)	Prec@1 48.438 (50.637)	Prec@5 81.250 (80.486)
Epoch: [63][1920/14090]	Time 0.730 (0.766)	Data 0.001 (0.004)	Loss 1.7174 (1.9015)	Prec@1 54.688 (50.639)	Prec@5 82.031 (80.483)
Epoch: [63][1930/14090]	Time 0.735 (0.766)	Data 0.001 (0.004)	Loss 2.0138 (1.9018)	Prec@1 48.438 (50.624)	Prec@5 79.688 (80.477)
Epoch: [63][1940/14090]	Time 0.768 (0.766)	Data 0.001 (0.004)	Loss 1.9570 (1.9014)	Prec@1 50.781 (50.627)	Prec@5 78.906 (80.482)
Epoch: [63][1950/14090]	Time 0.760 (0.766)	Data 0.001 (0.004)	Loss 2.1492 (1.9015)	Prec@1 46.875 (50.621)	Prec@5 74.219 (80.484)
Epoch: [63][1960/14090]	Time 0.735 (0.766)	Data 0.001 (0.004)	Loss 2.1882 (1.9017)	Prec@1 41.406 (50.612)	Prec@5 75.781 (80.483)
Epoch: [63][1970/14090]	Time 0.838 (0.766)	Data 0.001 (0.004)	Loss 1.9822 (1.9018)	Prec@1 52.344 (50.611)	Prec@5 79.688 (80.477)
Epoch: [63][1980/14090]	Time 0.753 (0.766)	Data 0.001 (0.004)	Loss 1.7702 (1.9017)	Prec@1 54.688 (50.616)	Prec@5 82.031 (80.472)
Epoch: [63][1990/14090]	Time 0.731 (0.766)	Data 0.001 (0.004)	Loss 1.7064 (1.9010)	Prec@1 57.031 (50.636)	Prec@5 80.469 (80.482)
Epoch: [63][2000/14090]	Time 0.739 (0.766)	Data 0.001 (0.004)	Loss 2.1155 (1.9009)	Prec@1 42.969 (50.635)	Prec@5 80.469 (80.486)
Epoch: [63][2010/14090]	Time 0.736 (0.766)	Data 0.001 (0.004)	Loss 1.6851 (1.9013)	Prec@1 57.812 (50.634)	Prec@5 83.594 (80.479)
Epoch: [63][2020/14090]	Time 0.755 (0.766)	Data 0.001 (0.004)	Loss 2.0158 (1.9012)	Prec@1 48.438 (50.630)	Prec@5 75.781 (80.479)
Epoch: [63][2030/14090]	Time 0.736 (0.766)	Data 0.001 (0.004)	Loss 1.9964 (1.9015)	Prec@1 42.188 (50.620)	Prec@5 82.031 (80.476)
Epoch: [63][2040/14090]	Time 0.844 (0.766)	Data 0.001 (0.004)	Loss 1.8217 (1.9012)	Prec@1 46.875 (50.625)	Prec@5 79.688 (80.481)
Epoch: [63][2050/14090]	Time 0.747 (0.766)	Data 0.001 (0.004)	Loss 1.8030 (1.9012)	Prec@1 54.688 (50.627)	Prec@5 79.688 (80.481)
Epoch: [63][2060/14090]	Time 0.738 (0.766)	Data 0.001 (0.004)	Loss 1.9009 (1.9011)	Prec@1 51.562 (50.622)	Prec@5 78.906 (80.479)
Epoch: [63][2070/14090]	Time 0.752 (0.766)	Data 0.001 (0.004)	Loss 2.0264 (1.9008)	Prec@1 45.312 (50.629)	Prec@5 76.562 (80.476)
Epoch: [63][2080/14090]	Time 0.735 (0.766)	Data 0.001 (0.004)	Loss 2.0175 (1.9011)	Prec@1 51.562 (50.623)	Prec@5 78.906 (80.468)
Epoch: [63][2090/14090]	Time 0.731 (0.766)	Data 0.001 (0.004)	Loss 1.6450 (1.9011)	Prec@1 62.500 (50.633)	Prec@5 84.375 (80.469)
Epoch: [63][2100/14090]	Time 0.727 (0.766)	Data 0.001 (0.004)	Loss 2.2355 (1.9011)	Prec@1 42.969 (50.630)	Prec@5 70.312 (80.466)
Epoch: [63][2110/14090]	Time 0.889 (0.766)	Data 0.001 (0.004)	Loss 1.6345 (1.9007)	Prec@1 57.031 (50.640)	Prec@5 86.719 (80.476)
Epoch: [63][2120/14090]	Time 0.728 (0.766)	Data 0.001 (0.004)	Loss 1.6282 (1.9008)	Prec@1 57.031 (50.635)	Prec@5 84.375 (80.481)
Epoch: [63][2130/14090]	Time 0.725 (0.766)	Data 0.001 (0.004)	Loss 1.9232 (1.9008)	Prec@1 50.781 (50.634)	Prec@5 78.125 (80.480)
Epoch: [63][2140/14090]	Time 0.746 (0.766)	Data 0.001 (0.004)	Loss 1.7742 (1.9010)	Prec@1 50.781 (50.616)	Prec@5 83.594 (80.484)
Epoch: [63][2150/14090]	Time 0.735 (0.766)	Data 0.001 (0.004)	Loss 1.8696 (1.9007)	Prec@1 53.125 (50.620)	Prec@5 77.344 (80.485)
Epoch: [63][2160/14090]	Time 0.735 (0.766)	Data 0.001 (0.004)	Loss 1.9779 (1.9012)	Prec@1 50.781 (50.616)	Prec@5 77.344 (80.475)
Epoch: [63][2170/14090]	Time 0.764 (0.766)	Data 0.001 (0.004)	Loss 2.0789 (1.9013)	Prec@1 46.094 (50.609)	Prec@5 82.812 (80.473)
Epoch: [63][2180/14090]	Time 0.842 (0.766)	Data 0.001 (0.004)	Loss 1.7498 (1.9013)	Prec@1 58.594 (50.610)	Prec@5 81.250 (80.472)
Epoch: [63][2190/14090]	Time 0.759 (0.766)	Data 0.001 (0.004)	Loss 2.0868 (1.9012)	Prec@1 47.656 (50.610)	Prec@5 76.562 (80.472)
Epoch: [63][2200/14090]	Time 0.737 (0.766)	Data 0.001 (0.004)	Loss 1.8569 (1.9011)	Prec@1 50.000 (50.617)	Prec@5 78.906 (80.469)
Epoch: [63][2210/14090]	Time 0.751 (0.766)	Data 0.001 (0.003)	Loss 2.2520 (1.9012)	Prec@1 44.531 (50.618)	Prec@5 75.781 (80.466)
Epoch: [63][2220/14090]	Time 0.724 (0.766)	Data 0.002 (0.003)	Loss 1.7264 (1.9011)	Prec@1 58.594 (50.622)	Prec@5 83.594 (80.467)
Epoch: [63][2230/14090]	Time 0.742 (0.766)	Data 0.001 (0.003)	Loss 1.9729 (1.9014)	Prec@1 52.344 (50.622)	Prec@5 76.562 (80.458)
Epoch: [63][2240/14090]	Time 0.749 (0.766)	Data 0.001 (0.003)	Loss 1.8945 (1.9015)	Prec@1 48.438 (50.620)	Prec@5 81.250 (80.458)
Epoch: [63][2250/14090]	Time 0.944 (0.766)	Data 0.001 (0.003)	Loss 1.9142 (1.9018)	Prec@1 46.875 (50.607)	Prec@5 78.906 (80.453)
Epoch: [63][2260/14090]	Time 0.772 (0.766)	Data 0.001 (0.003)	Loss 1.8934 (1.9018)	Prec@1 51.562 (50.615)	Prec@5 78.906 (80.453)
Epoch: [63][2270/14090]	Time 0.744 (0.766)	Data 0.001 (0.003)	Loss 1.9384 (1.9013)	Prec@1 53.906 (50.626)	Prec@5 78.125 (80.457)
Epoch: [63][2280/14090]	Time 0.784 (0.766)	Data 0.001 (0.003)	Loss 1.8647 (1.9011)	Prec@1 49.219 (50.624)	Prec@5 81.250 (80.463)
Epoch: [63][2290/14090]	Time 0.741 (0.766)	Data 0.001 (0.003)	Loss 1.7896 (1.9008)	Prec@1 50.781 (50.622)	Prec@5 82.812 (80.465)
Epoch: [63][2300/14090]	Time 0.739 (0.766)	Data 0.001 (0.003)	Loss 1.9412 (1.9008)	Prec@1 51.562 (50.623)	Prec@5 82.812 (80.468)
Epoch: [63][2310/14090]	Time 0.774 (0.766)	Data 0.001 (0.003)	Loss 1.8874 (1.9009)	Prec@1 52.344 (50.620)	Prec@5 80.469 (80.466)
Epoch: [63][2320/14090]	Time 0.848 (0.766)	Data 0.001 (0.003)	Loss 2.0880 (1.9009)	Prec@1 41.406 (50.620)	Prec@5 78.906 (80.467)
Epoch: [63][2330/14090]	Time 0.726 (0.766)	Data 0.001 (0.003)	Loss 2.0947 (1.9012)	Prec@1 46.094 (50.618)	Prec@5 77.344 (80.465)
Epoch: [63][2340/14090]	Time 0.739 (0.766)	Data 0.001 (0.003)	Loss 1.6490 (1.9011)	Prec@1 53.906 (50.614)	Prec@5 84.375 (80.468)
Epoch: [63][2350/14090]	Time 0.745 (0.766)	Data 0.001 (0.003)	Loss 1.8184 (1.9009)	Prec@1 49.219 (50.624)	Prec@5 86.719 (80.472)
Epoch: [63][2360/14090]	Time 0.743 (0.766)	Data 0.001 (0.003)	Loss 1.7227 (1.9007)	Prec@1 60.156 (50.625)	Prec@5 82.812 (80.475)
Epoch: [63][2370/14090]	Time 0.757 (0.766)	Data 0.001 (0.003)	Loss 1.5672 (1.9007)	Prec@1 52.344 (50.631)	Prec@5 88.281 (80.481)
Epoch: [63][2380/14090]	Time 0.756 (0.766)	Data 0.001 (0.003)	Loss 1.7674 (1.9005)	Prec@1 49.219 (50.634)	Prec@5 83.594 (80.486)
Epoch: [63][2390/14090]	Time 0.869 (0.766)	Data 0.001 (0.003)	Loss 1.8466 (1.9001)	Prec@1 52.344 (50.640)	Prec@5 78.906 (80.489)
Epoch: [63][2400/14090]	Time 0.721 (0.766)	Data 0.001 (0.003)	Loss 1.8127 (1.9001)	Prec@1 52.344 (50.646)	Prec@5 82.812 (80.491)
Epoch: [63][2410/14090]	Time 0.723 (0.766)	Data 0.001 (0.003)	Loss 2.0573 (1.9000)	Prec@1 50.000 (50.645)	Prec@5 75.000 (80.488)
Epoch: [63][2420/14090]	Time 0.756 (0.766)	Data 0.001 (0.003)	Loss 1.9125 (1.8999)	Prec@1 46.875 (50.642)	Prec@5 80.469 (80.492)
Epoch: [63][2430/14090]	Time 0.735 (0.766)	Data 0.001 (0.003)	Loss 2.2068 (1.8999)	Prec@1 48.438 (50.642)	Prec@5 74.219 (80.489)
Epoch: [63][2440/14090]	Time 0.742 (0.766)	Data 0.001 (0.003)	Loss 2.0951 (1.9000)	Prec@1 53.125 (50.648)	Prec@5 75.781 (80.486)
Epoch: [63][2450/14090]	Time 0.753 (0.766)	Data 0.001 (0.003)	Loss 1.9905 (1.9001)	Prec@1 49.219 (50.640)	Prec@5 75.781 (80.484)
Epoch: [63][2460/14090]	Time 0.838 (0.766)	Data 0.001 (0.003)	Loss 1.8218 (1.8999)	Prec@1 49.219 (50.642)	Prec@5 83.594 (80.488)
Epoch: [63][2470/14090]	Time 0.752 (0.766)	Data 0.001 (0.003)	Loss 1.7472 (1.8997)	Prec@1 47.656 (50.636)	Prec@5 81.250 (80.490)
Epoch: [63][2480/14090]	Time 0.734 (0.766)	Data 0.001 (0.003)	Loss 2.0345 (1.8999)	Prec@1 43.750 (50.635)	Prec@5 78.906 (80.491)
Epoch: [63][2490/14090]	Time 0.734 (0.766)	Data 0.001 (0.003)	Loss 2.0624 (1.8997)	Prec@1 47.656 (50.636)	Prec@5 75.000 (80.494)
Epoch: [63][2500/14090]	Time 0.756 (0.766)	Data 0.001 (0.003)	Loss 1.7483 (1.8995)	Prec@1 56.250 (50.644)	Prec@5 81.250 (80.495)
Epoch: [63][2510/14090]	Time 0.769 (0.766)	Data 0.001 (0.003)	Loss 2.0182 (1.8996)	Prec@1 50.781 (50.648)	Prec@5 77.344 (80.493)
Epoch: [63][2520/14090]	Time 0.733 (0.766)	Data 0.001 (0.003)	Loss 1.8773 (1.8998)	Prec@1 47.656 (50.645)	Prec@5 85.156 (80.490)
Epoch: [63][2530/14090]	Time 0.843 (0.766)	Data 0.001 (0.003)	Loss 1.7730 (1.8999)	Prec@1 52.344 (50.648)	Prec@5 82.031 (80.484)
Epoch: [63][2540/14090]	Time 0.732 (0.766)	Data 0.001 (0.003)	Loss 2.1072 (1.9000)	Prec@1 46.094 (50.648)	Prec@5 79.688 (80.480)
Epoch: [63][2550/14090]	Time 0.771 (0.766)	Data 0.002 (0.003)	Loss 1.9274 (1.8998)	Prec@1 48.438 (50.645)	Prec@5 78.906 (80.489)
Epoch: [63][2560/14090]	Time 0.751 (0.766)	Data 0.001 (0.003)	Loss 1.9880 (1.9000)	Prec@1 47.656 (50.640)	Prec@5 79.688 (80.486)
Epoch: [63][2570/14090]	Time 0.748 (0.766)	Data 0.001 (0.003)	Loss 1.6930 (1.8998)	Prec@1 57.031 (50.645)	Prec@5 83.594 (80.487)
Epoch: [63][2580/14090]	Time 0.755 (0.766)	Data 0.001 (0.003)	Loss 1.5940 (1.8997)	Prec@1 53.125 (50.648)	Prec@5 85.156 (80.488)
Epoch: [63][2590/14090]	Time 0.765 (0.766)	Data 0.001 (0.003)	Loss 1.8931 (1.8996)	Prec@1 47.656 (50.646)	Prec@5 82.812 (80.488)
Epoch: [63][2600/14090]	Time 0.875 (0.766)	Data 0.001 (0.003)	Loss 1.6855 (1.8997)	Prec@1 52.344 (50.639)	Prec@5 86.719 (80.488)
Epoch: [63][2610/14090]	Time 0.750 (0.766)	Data 0.001 (0.003)	Loss 1.8868 (1.8997)	Prec@1 50.781 (50.637)	Prec@5 78.125 (80.489)
Epoch: [63][2620/14090]	Time 0.729 (0.766)	Data 0.001 (0.003)	Loss 1.9762 (1.9001)	Prec@1 48.438 (50.631)	Prec@5 78.125 (80.486)
Epoch: [63][2630/14090]	Time 0.735 (0.766)	Data 0.001 (0.003)	Loss 1.7326 (1.9000)	Prec@1 51.562 (50.630)	Prec@5 85.156 (80.488)
Epoch: [63][2640/14090]	Time 0.732 (0.766)	Data 0.001 (0.003)	Loss 2.0192 (1.9001)	Prec@1 46.094 (50.624)	Prec@5 75.781 (80.491)
Epoch: [63][2650/14090]	Time 0.753 (0.766)	Data 0.001 (0.003)	Loss 1.8071 (1.9001)	Prec@1 59.375 (50.627)	Prec@5 81.250 (80.491)
Epoch: [63][2660/14090]	Time 0.732 (0.766)	Data 0.001 (0.003)	Loss 1.7042 (1.8999)	Prec@1 59.375 (50.635)	Prec@5 88.281 (80.500)
Epoch: [63][2670/14090]	Time 0.899 (0.766)	Data 0.001 (0.003)	Loss 1.9241 (1.8999)	Prec@1 43.750 (50.629)	Prec@5 78.125 (80.499)
Epoch: [63][2680/14090]	Time 0.755 (0.766)	Data 0.001 (0.003)	Loss 2.0809 (1.8999)	Prec@1 50.000 (50.633)	Prec@5 78.906 (80.498)
Epoch: [63][2690/14090]	Time 0.738 (0.766)	Data 0.001 (0.003)	Loss 1.9763 (1.8998)	Prec@1 50.000 (50.634)	Prec@5 78.906 (80.497)
Epoch: [63][2700/14090]	Time 0.729 (0.766)	Data 0.001 (0.003)	Loss 1.8215 (1.8994)	Prec@1 51.562 (50.635)	Prec@5 78.125 (80.497)
Epoch: [63][2710/14090]	Time 0.733 (0.766)	Data 0.001 (0.003)	Loss 2.0254 (1.8998)	Prec@1 49.219 (50.627)	Prec@5 81.250 (80.494)
Epoch: [63][2720/14090]	Time 0.735 (0.766)	Data 0.001 (0.003)	Loss 2.2543 (1.8996)	Prec@1 46.875 (50.636)	Prec@5 71.094 (80.488)
Epoch: [63][2730/14090]	Time 0.744 (0.766)	Data 0.001 (0.003)	Loss 1.8515 (1.8995)	Prec@1 54.688 (50.636)	Prec@5 78.906 (80.490)
Epoch: [63][2740/14090]	Time 0.884 (0.766)	Data 0.001 (0.003)	Loss 2.2110 (1.8993)	Prec@1 44.531 (50.639)	Prec@5 78.125 (80.494)
Epoch: [63][2750/14090]	Time 0.739 (0.766)	Data 0.001 (0.003)	Loss 1.9057 (1.8993)	Prec@1 46.875 (50.633)	Prec@5 80.469 (80.497)
Epoch: [63][2760/14090]	Time 0.749 (0.766)	Data 0.001 (0.003)	Loss 1.5504 (1.8991)	Prec@1 57.031 (50.636)	Prec@5 87.500 (80.502)
Epoch: [63][2770/14090]	Time 0.744 (0.766)	Data 0.001 (0.003)	Loss 2.2222 (1.8990)	Prec@1 49.219 (50.638)	Prec@5 67.969 (80.499)
Epoch: [63][2780/14090]	Time 0.770 (0.766)	Data 0.001 (0.003)	Loss 2.0314 (1.8989)	Prec@1 45.312 (50.639)	Prec@5 76.562 (80.498)
Epoch: [63][2790/14090]	Time 0.724 (0.766)	Data 0.001 (0.003)	Loss 1.8116 (1.8990)	Prec@1 51.562 (50.634)	Prec@5 81.250 (80.500)
Epoch: [63][2800/14090]	Time 0.753 (0.766)	Data 0.001 (0.003)	Loss 1.6428 (1.8985)	Prec@1 57.812 (50.648)	Prec@5 82.031 (80.506)
Epoch: [63][2810/14090]	Time 0.841 (0.766)	Data 0.001 (0.003)	Loss 1.7460 (1.8985)	Prec@1 61.719 (50.652)	Prec@5 81.250 (80.502)
Epoch: [63][2820/14090]	Time 0.734 (0.766)	Data 0.001 (0.003)	Loss 1.8522 (1.8986)	Prec@1 56.250 (50.648)	Prec@5 82.031 (80.501)
Epoch: [63][2830/14090]	Time 0.748 (0.766)	Data 0.001 (0.003)	Loss 1.8983 (1.8987)	Prec@1 51.562 (50.649)	Prec@5 77.344 (80.500)
Epoch: [63][2840/14090]	Time 0.730 (0.766)	Data 0.001 (0.003)	Loss 1.6104 (1.8986)	Prec@1 54.688 (50.653)	Prec@5 87.500 (80.505)
Epoch: [63][2850/14090]	Time 0.776 (0.766)	Data 0.001 (0.003)	Loss 2.0263 (1.8986)	Prec@1 45.312 (50.656)	Prec@5 76.562 (80.507)
Epoch: [63][2860/14090]	Time 0.748 (0.766)	Data 0.001 (0.003)	Loss 1.9913 (1.8988)	Prec@1 53.125 (50.652)	Prec@5 82.031 (80.506)
Epoch: [63][2870/14090]	Time 0.778 (0.766)	Data 0.001 (0.003)	Loss 1.8966 (1.8989)	Prec@1 52.344 (50.650)	Prec@5 79.688 (80.504)
Epoch: [63][2880/14090]	Time 0.829 (0.766)	Data 0.001 (0.003)	Loss 1.9532 (1.8993)	Prec@1 50.781 (50.640)	Prec@5 75.781 (80.496)
Epoch: [63][2890/14090]	Time 0.722 (0.766)	Data 0.001 (0.003)	Loss 1.8498 (1.8992)	Prec@1 50.000 (50.638)	Prec@5 82.031 (80.497)
Epoch: [63][2900/14090]	Time 0.733 (0.766)	Data 0.001 (0.003)	Loss 1.9780 (1.8994)	Prec@1 49.219 (50.633)	Prec@5 82.031 (80.496)
Epoch: [63][2910/14090]	Time 0.746 (0.766)	Data 0.001 (0.003)	Loss 1.8857 (1.8994)	Prec@1 51.562 (50.633)	Prec@5 79.688 (80.493)
Epoch: [63][2920/14090]	Time 0.759 (0.766)	Data 0.001 (0.003)	Loss 2.0319 (1.8993)	Prec@1 46.875 (50.638)	Prec@5 78.125 (80.494)
Epoch: [63][2930/14090]	Time 0.721 (0.766)	Data 0.001 (0.003)	Loss 1.5112 (1.8991)	Prec@1 60.156 (50.639)	Prec@5 86.719 (80.497)
Epoch: [63][2940/14090]	Time 0.728 (0.766)	Data 0.001 (0.003)	Loss 2.0926 (1.8988)	Prec@1 46.875 (50.643)	Prec@5 78.125 (80.503)
Epoch: [63][2950/14090]	Time 0.893 (0.766)	Data 0.001 (0.003)	Loss 1.8573 (1.8990)	Prec@1 53.906 (50.640)	Prec@5 82.031 (80.497)
Epoch: [63][2960/14090]	Time 0.734 (0.766)	Data 0.001 (0.003)	Loss 1.8261 (1.8988)	Prec@1 52.344 (50.644)	Prec@5 81.250 (80.499)
Epoch: [63][2970/14090]	Time 0.733 (0.766)	Data 0.001 (0.003)	Loss 2.1849 (1.8990)	Prec@1 45.312 (50.635)	Prec@5 77.344 (80.501)
Epoch: [63][2980/14090]	Time 0.755 (0.766)	Data 0.001 (0.003)	Loss 1.9476 (1.8988)	Prec@1 48.438 (50.643)	Prec@5 80.469 (80.504)
Epoch: [63][2990/14090]	Time 0.749 (0.766)	Data 0.001 (0.003)	Loss 1.8447 (1.8990)	Prec@1 53.906 (50.646)	Prec@5 83.594 (80.503)
Epoch: [63][3000/14090]	Time 0.743 (0.766)	Data 0.001 (0.003)	Loss 1.8881 (1.8991)	Prec@1 53.906 (50.643)	Prec@5 78.125 (80.500)
Epoch: [63][3010/14090]	Time 0.774 (0.766)	Data 0.001 (0.003)	Loss 1.7916 (1.8992)	Prec@1 53.906 (50.641)	Prec@5 82.031 (80.494)
Epoch: [63][3020/14090]	Time 0.836 (0.766)	Data 0.001 (0.003)	Loss 2.1059 (1.8992)	Prec@1 49.219 (50.640)	Prec@5 74.219 (80.492)
Epoch: [63][3030/14090]	Time 0.742 (0.766)	Data 0.001 (0.003)	Loss 2.0709 (1.8992)	Prec@1 45.312 (50.642)	Prec@5 82.031 (80.493)
Epoch: [63][3040/14090]	Time 0.727 (0.766)	Data 0.001 (0.003)	Loss 1.6066 (1.8991)	Prec@1 56.250 (50.643)	Prec@5 86.719 (80.499)
Epoch: [63][3050/14090]	Time 0.776 (0.766)	Data 0.001 (0.003)	Loss 1.9518 (1.8991)	Prec@1 50.000 (50.640)	Prec@5 76.562 (80.496)
Epoch: [63][3060/14090]	Time 0.737 (0.766)	Data 0.001 (0.003)	Loss 1.9722 (1.8991)	Prec@1 48.438 (50.637)	Prec@5 81.250 (80.498)
Epoch: [63][3070/14090]	Time 0.738 (0.766)	Data 0.001 (0.003)	Loss 1.7504 (1.8988)	Prec@1 53.125 (50.645)	Prec@5 84.375 (80.506)
Epoch: [63][3080/14090]	Time 0.749 (0.766)	Data 0.001 (0.003)	Loss 2.0078 (1.8990)	Prec@1 49.219 (50.641)	Prec@5 78.125 (80.503)
Epoch: [63][3090/14090]	Time 0.860 (0.766)	Data 0.001 (0.003)	Loss 1.9990 (1.8990)	Prec@1 52.344 (50.636)	Prec@5 76.562 (80.502)
Epoch: [63][3100/14090]	Time 0.761 (0.766)	Data 0.001 (0.003)	Loss 1.8140 (1.8991)	Prec@1 49.219 (50.634)	Prec@5 85.156 (80.502)
Epoch: [63][3110/14090]	Time 0.732 (0.766)	Data 0.001 (0.003)	Loss 2.1226 (1.8991)	Prec@1 47.656 (50.638)	Prec@5 76.562 (80.503)
Epoch: [63][3120/14090]	Time 0.749 (0.766)	Data 0.001 (0.003)	Loss 2.1079 (1.8991)	Prec@1 48.438 (50.638)	Prec@5 79.688 (80.504)
Epoch: [63][3130/14090]	Time 0.748 (0.766)	Data 0.001 (0.003)	Loss 1.8088 (1.8992)	Prec@1 53.125 (50.637)	Prec@5 81.250 (80.502)
Epoch: [63][3140/14090]	Time 0.759 (0.766)	Data 0.001 (0.003)	Loss 1.9286 (1.8992)	Prec@1 50.000 (50.639)	Prec@5 80.469 (80.501)
Epoch: [63][3150/14090]	Time 0.757 (0.766)	Data 0.001 (0.003)	Loss 1.7197 (1.8989)	Prec@1 61.719 (50.651)	Prec@5 82.031 (80.505)
Epoch: [63][3160/14090]	Time 0.872 (0.766)	Data 0.001 (0.003)	Loss 1.8796 (1.8988)	Prec@1 53.125 (50.655)	Prec@5 79.688 (80.507)
Epoch: [63][3170/14090]	Time 0.721 (0.766)	Data 0.001 (0.003)	Loss 2.2508 (1.8989)	Prec@1 42.969 (50.657)	Prec@5 74.219 (80.506)
Epoch: [63][3180/14090]	Time 0.774 (0.766)	Data 0.001 (0.003)	Loss 1.9867 (1.8990)	Prec@1 51.562 (50.653)	Prec@5 78.125 (80.502)
Epoch: [63][3190/14090]	Time 0.784 (0.766)	Data 0.001 (0.003)	Loss 1.8604 (1.8994)	Prec@1 48.438 (50.642)	Prec@5 83.594 (80.498)
Epoch: [63][3200/14090]	Time 0.758 (0.766)	Data 0.001 (0.003)	Loss 1.8557 (1.8995)	Prec@1 52.344 (50.642)	Prec@5 82.812 (80.499)
Epoch: [63][3210/14090]	Time 0.735 (0.766)	Data 0.001 (0.003)	Loss 2.1485 (1.8995)	Prec@1 46.875 (50.643)	Prec@5 79.688 (80.502)
Epoch: [63][3220/14090]	Time 0.734 (0.766)	Data 0.001 (0.003)	Loss 1.8000 (1.8995)	Prec@1 50.000 (50.640)	Prec@5 82.031 (80.499)
Epoch: [63][3230/14090]	Time 0.826 (0.766)	Data 0.001 (0.003)	Loss 2.2309 (1.8996)	Prec@1 45.312 (50.637)	Prec@5 79.688 (80.497)
Epoch: [63][3240/14090]	Time 0.737 (0.766)	Data 0.001 (0.003)	Loss 2.0421 (1.8993)	Prec@1 47.656 (50.645)	Prec@5 76.562 (80.503)
Epoch: [63][3250/14090]	Time 0.727 (0.766)	Data 0.001 (0.003)	Loss 1.9430 (1.8990)	Prec@1 51.562 (50.654)	Prec@5 74.219 (80.507)
Epoch: [63][3260/14090]	Time 0.766 (0.766)	Data 0.001 (0.003)	Loss 1.8677 (1.8991)	Prec@1 45.312 (50.649)	Prec@5 80.469 (80.507)
Epoch: [63][3270/14090]	Time 0.775 (0.766)	Data 0.001 (0.003)	Loss 1.7132 (1.8994)	Prec@1 57.031 (50.642)	Prec@5 82.031 (80.499)
Epoch: [63][3280/14090]	Time 0.779 (0.766)	Data 0.001 (0.003)	Loss 1.7300 (1.8995)	Prec@1 56.250 (50.639)	Prec@5 83.594 (80.499)
Epoch: [63][3290/14090]	Time 0.745 (0.766)	Data 0.001 (0.003)	Loss 2.0162 (1.8994)	Prec@1 50.000 (50.642)	Prec@5 78.125 (80.503)
Epoch: [63][3300/14090]	Time 0.868 (0.766)	Data 0.001 (0.003)	Loss 1.4548 (1.8994)	Prec@1 55.469 (50.641)	Prec@5 89.062 (80.501)
Epoch: [63][3310/14090]	Time 0.734 (0.766)	Data 0.001 (0.003)	Loss 1.6629 (1.8993)	Prec@1 53.125 (50.640)	Prec@5 82.812 (80.505)
Epoch: [63][3320/14090]	Time 0.730 (0.766)	Data 0.001 (0.003)	Loss 1.9733 (1.8992)	Prec@1 52.344 (50.642)	Prec@5 78.125 (80.508)
Epoch: [63][3330/14090]	Time 0.725 (0.766)	Data 0.001 (0.003)	Loss 1.9694 (1.8993)	Prec@1 46.875 (50.641)	Prec@5 79.688 (80.507)
Epoch: [63][3340/14090]	Time 0.739 (0.766)	Data 0.001 (0.003)	Loss 1.7778 (1.8995)	Prec@1 48.438 (50.639)	Prec@5 84.375 (80.506)
Epoch: [63][3350/14090]	Time 0.754 (0.766)	Data 0.001 (0.003)	Loss 2.0222 (1.8996)	Prec@1 48.438 (50.636)	Prec@5 76.562 (80.499)
Epoch: [63][3360/14090]	Time 0.757 (0.766)	Data 0.001 (0.003)	Loss 1.8597 (1.8994)	Prec@1 52.344 (50.638)	Prec@5 80.469 (80.500)
Epoch: [63][3370/14090]	Time 0.841 (0.766)	Data 0.001 (0.003)	Loss 1.7263 (1.8995)	Prec@1 54.688 (50.632)	Prec@5 82.812 (80.499)
Epoch: [63][3380/14090]	Time 0.749 (0.766)	Data 0.001 (0.003)	Loss 2.0081 (1.8994)	Prec@1 47.656 (50.635)	Prec@5 79.688 (80.499)
Epoch: [63][3390/14090]	Time 0.728 (0.766)	Data 0.001 (0.003)	Loss 1.7866 (1.8991)	Prec@1 52.344 (50.643)	Prec@5 82.031 (80.501)
Epoch: [63][3400/14090]	Time 0.752 (0.766)	Data 0.001 (0.003)	Loss 1.7421 (1.8992)	Prec@1 52.344 (50.644)	Prec@5 83.594 (80.498)
Epoch: [63][3410/14090]	Time 0.748 (0.766)	Data 0.001 (0.003)	Loss 1.9630 (1.8995)	Prec@1 47.656 (50.633)	Prec@5 77.344 (80.491)
Epoch: [63][3420/14090]	Time 0.757 (0.766)	Data 0.002 (0.003)	Loss 1.7364 (1.8995)	Prec@1 53.125 (50.630)	Prec@5 78.906 (80.487)
Epoch: [63][3430/14090]	Time 0.740 (0.765)	Data 0.001 (0.003)	Loss 2.0575 (1.8996)	Prec@1 47.656 (50.628)	Prec@5 78.125 (80.485)
Epoch: [63][3440/14090]	Time 0.882 (0.766)	Data 0.002 (0.003)	Loss 2.0520 (1.8998)	Prec@1 42.969 (50.620)	Prec@5 74.219 (80.484)
Epoch: [63][3450/14090]	Time 0.728 (0.766)	Data 0.001 (0.003)	Loss 1.9052 (1.8995)	Prec@1 52.344 (50.628)	Prec@5 78.906 (80.486)
Epoch: [63][3460/14090]	Time 0.733 (0.766)	Data 0.001 (0.003)	Loss 1.9120 (1.8995)	Prec@1 48.438 (50.629)	Prec@5 78.906 (80.486)
Epoch: [63][3470/14090]	Time 0.757 (0.766)	Data 0.001 (0.003)	Loss 1.8619 (1.8994)	Prec@1 43.750 (50.630)	Prec@5 78.125 (80.489)
Epoch: [63][3480/14090]	Time 0.753 (0.766)	Data 0.001 (0.003)	Loss 1.9499 (1.8996)	Prec@1 49.219 (50.628)	Prec@5 79.688 (80.485)
Epoch: [63][3490/14090]	Time 0.748 (0.766)	Data 0.001 (0.003)	Loss 1.9009 (1.8998)	Prec@1 49.219 (50.625)	Prec@5 79.688 (80.476)
Epoch: [63][3500/14090]	Time 0.743 (0.766)	Data 0.001 (0.003)	Loss 2.0092 (1.8998)	Prec@1 47.656 (50.628)	Prec@5 75.781 (80.478)
Epoch: [63][3510/14090]	Time 0.877 (0.766)	Data 0.001 (0.003)	Loss 1.9082 (1.8998)	Prec@1 51.562 (50.628)	Prec@5 78.125 (80.477)
Epoch: [63][3520/14090]	Time 0.753 (0.766)	Data 0.001 (0.003)	Loss 2.0459 (1.8996)	Prec@1 49.219 (50.631)	Prec@5 77.344 (80.481)
Epoch: [63][3530/14090]	Time 0.753 (0.766)	Data 0.001 (0.003)	Loss 1.6295 (1.8997)	Prec@1 53.125 (50.629)	Prec@5 85.938 (80.481)
Epoch: [63][3540/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 1.9178 (1.8998)	Prec@1 50.781 (50.628)	Prec@5 81.250 (80.478)
Epoch: [63][3550/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.1296 (1.9000)	Prec@1 44.531 (50.619)	Prec@5 75.781 (80.471)
Epoch: [63][3560/14090]	Time 0.761 (0.766)	Data 0.001 (0.002)	Loss 1.7670 (1.8999)	Prec@1 53.906 (50.618)	Prec@5 82.812 (80.476)
Epoch: [63][3570/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 2.0684 (1.9001)	Prec@1 46.094 (50.611)	Prec@5 82.031 (80.474)
Epoch: [63][3580/14090]	Time 0.835 (0.766)	Data 0.001 (0.002)	Loss 1.9158 (1.9001)	Prec@1 49.219 (50.612)	Prec@5 82.031 (80.472)
Epoch: [63][3590/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 1.7391 (1.9002)	Prec@1 53.125 (50.613)	Prec@5 84.375 (80.473)
Epoch: [63][3600/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 1.9396 (1.9001)	Prec@1 46.094 (50.612)	Prec@5 80.469 (80.477)
Epoch: [63][3610/14090]	Time 0.782 (0.766)	Data 0.001 (0.002)	Loss 1.8305 (1.9000)	Prec@1 48.438 (50.612)	Prec@5 83.594 (80.477)
Epoch: [63][3620/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 1.8250 (1.8997)	Prec@1 46.875 (50.620)	Prec@5 79.688 (80.483)
Epoch: [63][3630/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 1.6848 (1.8996)	Prec@1 57.812 (50.620)	Prec@5 82.812 (80.485)
Epoch: [63][3640/14090]	Time 0.776 (0.766)	Data 0.001 (0.002)	Loss 1.6273 (1.8997)	Prec@1 53.906 (50.615)	Prec@5 85.938 (80.484)
Epoch: [63][3650/14090]	Time 0.832 (0.766)	Data 0.001 (0.002)	Loss 1.7245 (1.8996)	Prec@1 56.250 (50.618)	Prec@5 85.156 (80.482)
Epoch: [63][3660/14090]	Time 0.730 (0.765)	Data 0.001 (0.002)	Loss 1.7562 (1.8995)	Prec@1 54.688 (50.618)	Prec@5 78.906 (80.486)
Epoch: [63][3670/14090]	Time 0.733 (0.765)	Data 0.001 (0.002)	Loss 1.9147 (1.8997)	Prec@1 46.094 (50.613)	Prec@5 84.375 (80.482)
Epoch: [63][3680/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 1.8859 (1.8995)	Prec@1 48.438 (50.614)	Prec@5 82.031 (80.488)
Epoch: [63][3690/14090]	Time 0.726 (0.765)	Data 0.001 (0.002)	Loss 1.9817 (1.8994)	Prec@1 43.750 (50.614)	Prec@5 78.125 (80.494)
Epoch: [63][3700/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 2.0994 (1.8996)	Prec@1 46.094 (50.614)	Prec@5 78.125 (80.493)
Epoch: [63][3710/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.0503 (1.8997)	Prec@1 46.875 (50.607)	Prec@5 75.781 (80.491)
Epoch: [63][3720/14090]	Time 0.837 (0.766)	Data 0.001 (0.002)	Loss 1.8255 (1.8999)	Prec@1 51.562 (50.608)	Prec@5 79.688 (80.488)
Epoch: [63][3730/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 1.7235 (1.8996)	Prec@1 57.812 (50.614)	Prec@5 85.156 (80.493)
Epoch: [63][3740/14090]	Time 0.750 (0.765)	Data 0.001 (0.002)	Loss 1.7128 (1.8996)	Prec@1 53.125 (50.618)	Prec@5 87.500 (80.495)
Epoch: [63][3750/14090]	Time 0.765 (0.765)	Data 0.001 (0.002)	Loss 1.9208 (1.8995)	Prec@1 46.875 (50.624)	Prec@5 82.812 (80.500)
Epoch: [63][3760/14090]	Time 0.751 (0.765)	Data 0.001 (0.002)	Loss 1.9553 (1.8997)	Prec@1 53.125 (50.621)	Prec@5 76.562 (80.494)
Epoch: [63][3770/14090]	Time 0.740 (0.765)	Data 0.001 (0.002)	Loss 2.0199 (1.8998)	Prec@1 43.750 (50.618)	Prec@5 78.906 (80.490)
Epoch: [63][3780/14090]	Time 0.755 (0.765)	Data 0.001 (0.002)	Loss 1.7947 (1.8995)	Prec@1 56.250 (50.626)	Prec@5 80.469 (80.494)
Epoch: [63][3790/14090]	Time 0.904 (0.766)	Data 0.001 (0.002)	Loss 2.2197 (1.8997)	Prec@1 45.312 (50.625)	Prec@5 73.438 (80.490)
Epoch: [63][3800/14090]	Time 0.732 (0.765)	Data 0.001 (0.002)	Loss 2.2703 (1.8997)	Prec@1 44.531 (50.629)	Prec@5 70.312 (80.489)
Epoch: [63][3810/14090]	Time 0.741 (0.765)	Data 0.001 (0.002)	Loss 1.7754 (1.8997)	Prec@1 55.469 (50.629)	Prec@5 82.812 (80.491)
Epoch: [63][3820/14090]	Time 0.756 (0.765)	Data 0.001 (0.002)	Loss 1.7595 (1.8997)	Prec@1 52.344 (50.628)	Prec@5 83.594 (80.492)
Epoch: [63][3830/14090]	Time 0.774 (0.765)	Data 0.001 (0.002)	Loss 1.8659 (1.8997)	Prec@1 52.344 (50.635)	Prec@5 79.688 (80.492)
Epoch: [63][3840/14090]	Time 0.729 (0.765)	Data 0.001 (0.002)	Loss 2.2353 (1.8997)	Prec@1 46.875 (50.639)	Prec@5 78.906 (80.489)
Epoch: [63][3850/14090]	Time 0.737 (0.765)	Data 0.001 (0.002)	Loss 1.9245 (1.8997)	Prec@1 53.125 (50.638)	Prec@5 77.344 (80.488)
Epoch: [63][3860/14090]	Time 0.883 (0.765)	Data 0.001 (0.002)	Loss 2.1748 (1.8998)	Prec@1 44.531 (50.637)	Prec@5 71.094 (80.485)
Epoch: [63][3870/14090]	Time 0.746 (0.765)	Data 0.001 (0.002)	Loss 2.0073 (1.8997)	Prec@1 46.094 (50.639)	Prec@5 81.250 (80.489)
Epoch: [63][3880/14090]	Time 0.741 (0.765)	Data 0.001 (0.002)	Loss 1.9628 (1.8995)	Prec@1 49.219 (50.645)	Prec@5 78.125 (80.494)
Epoch: [63][3890/14090]	Time 0.725 (0.765)	Data 0.001 (0.002)	Loss 2.0974 (1.8994)	Prec@1 42.969 (50.643)	Prec@5 78.906 (80.497)
Epoch: [63][3900/14090]	Time 0.747 (0.765)	Data 0.001 (0.002)	Loss 1.8793 (1.8994)	Prec@1 50.000 (50.646)	Prec@5 82.031 (80.500)
Epoch: [63][3910/14090]	Time 0.732 (0.765)	Data 0.001 (0.002)	Loss 2.1093 (1.8995)	Prec@1 42.969 (50.640)	Prec@5 77.344 (80.499)
Epoch: [63][3920/14090]	Time 0.735 (0.765)	Data 0.001 (0.002)	Loss 2.0181 (1.8995)	Prec@1 42.188 (50.642)	Prec@5 78.125 (80.500)
Epoch: [63][3930/14090]	Time 0.851 (0.765)	Data 0.001 (0.002)	Loss 1.4893 (1.8995)	Prec@1 55.469 (50.639)	Prec@5 89.844 (80.498)
Epoch: [63][3940/14090]	Time 0.735 (0.765)	Data 0.001 (0.002)	Loss 2.0582 (1.8994)	Prec@1 46.094 (50.639)	Prec@5 79.688 (80.499)
Epoch: [63][3950/14090]	Time 0.721 (0.765)	Data 0.001 (0.002)	Loss 1.8867 (1.8993)	Prec@1 48.438 (50.643)	Prec@5 80.469 (80.501)
Epoch: [63][3960/14090]	Time 0.775 (0.765)	Data 0.001 (0.002)	Loss 1.7055 (1.8993)	Prec@1 50.781 (50.646)	Prec@5 83.594 (80.497)
Epoch: [63][3970/14090]	Time 0.723 (0.765)	Data 0.001 (0.002)	Loss 1.5417 (1.8992)	Prec@1 57.031 (50.645)	Prec@5 86.719 (80.498)
Epoch: [63][3980/14090]	Time 0.732 (0.765)	Data 0.001 (0.002)	Loss 1.6271 (1.8991)	Prec@1 57.031 (50.649)	Prec@5 83.594 (80.502)
Epoch: [63][3990/14090]	Time 0.737 (0.765)	Data 0.001 (0.002)	Loss 1.8586 (1.8992)	Prec@1 51.562 (50.649)	Prec@5 82.812 (80.504)
Epoch: [63][4000/14090]	Time 0.848 (0.765)	Data 0.001 (0.002)	Loss 1.6342 (1.8991)	Prec@1 59.375 (50.653)	Prec@5 84.375 (80.505)
Epoch: [63][4010/14090]	Time 0.764 (0.765)	Data 0.001 (0.002)	Loss 2.0168 (1.8991)	Prec@1 46.094 (50.648)	Prec@5 77.344 (80.506)
Epoch: [63][4020/14090]	Time 0.757 (0.765)	Data 0.001 (0.002)	Loss 1.7078 (1.8990)	Prec@1 50.000 (50.649)	Prec@5 88.281 (80.510)
Epoch: [63][4030/14090]	Time 0.761 (0.765)	Data 0.001 (0.002)	Loss 1.7258 (1.8989)	Prec@1 53.125 (50.650)	Prec@5 83.594 (80.511)
Epoch: [63][4040/14090]	Time 0.750 (0.765)	Data 0.001 (0.002)	Loss 1.7337 (1.8990)	Prec@1 47.656 (50.645)	Prec@5 84.375 (80.509)
Epoch: [63][4050/14090]	Time 0.735 (0.765)	Data 0.001 (0.002)	Loss 2.0086 (1.8990)	Prec@1 44.531 (50.645)	Prec@5 78.125 (80.508)
Epoch: [63][4060/14090]	Time 0.750 (0.765)	Data 0.001 (0.002)	Loss 1.9437 (1.8989)	Prec@1 50.781 (50.645)	Prec@5 79.688 (80.511)
Epoch: [63][4070/14090]	Time 1.024 (0.765)	Data 0.001 (0.002)	Loss 1.8224 (1.8989)	Prec@1 51.562 (50.643)	Prec@5 82.031 (80.509)
Epoch: [63][4080/14090]	Time 0.736 (0.765)	Data 0.001 (0.002)	Loss 2.0976 (1.8991)	Prec@1 46.875 (50.639)	Prec@5 76.562 (80.506)
Epoch: [63][4090/14090]	Time 0.732 (0.765)	Data 0.001 (0.002)	Loss 1.8969 (1.8992)	Prec@1 46.094 (50.639)	Prec@5 83.594 (80.505)
Epoch: [63][4100/14090]	Time 0.735 (0.765)	Data 0.001 (0.002)	Loss 1.7300 (1.8988)	Prec@1 52.344 (50.645)	Prec@5 83.594 (80.511)
Epoch: [63][4110/14090]	Time 0.733 (0.765)	Data 0.001 (0.002)	Loss 1.8231 (1.8989)	Prec@1 50.000 (50.643)	Prec@5 82.812 (80.512)
Epoch: [63][4120/14090]	Time 0.758 (0.765)	Data 0.001 (0.002)	Loss 2.0368 (1.8988)	Prec@1 49.219 (50.644)	Prec@5 78.125 (80.514)
Epoch: [63][4130/14090]	Time 0.754 (0.765)	Data 0.001 (0.002)	Loss 1.8147 (1.8989)	Prec@1 50.781 (50.643)	Prec@5 81.250 (80.511)
Epoch: [63][4140/14090]	Time 0.867 (0.765)	Data 0.001 (0.002)	Loss 2.0411 (1.8990)	Prec@1 42.188 (50.642)	Prec@5 84.375 (80.511)
Epoch: [63][4150/14090]	Time 0.762 (0.765)	Data 0.001 (0.002)	Loss 1.9990 (1.8990)	Prec@1 45.312 (50.643)	Prec@5 82.031 (80.509)
Epoch: [63][4160/14090]	Time 0.736 (0.765)	Data 0.001 (0.002)	Loss 2.0994 (1.8994)	Prec@1 43.750 (50.636)	Prec@5 77.344 (80.504)
Epoch: [63][4170/14090]	Time 0.757 (0.765)	Data 0.001 (0.002)	Loss 1.5601 (1.8993)	Prec@1 57.031 (50.637)	Prec@5 83.594 (80.501)
Epoch: [63][4180/14090]	Time 0.741 (0.765)	Data 0.001 (0.002)	Loss 1.9448 (1.8994)	Prec@1 46.094 (50.636)	Prec@5 80.469 (80.500)
Epoch: [63][4190/14090]	Time 0.772 (0.765)	Data 0.001 (0.002)	Loss 2.3938 (1.8996)	Prec@1 39.844 (50.629)	Prec@5 74.219 (80.496)
Epoch: [63][4200/14090]	Time 0.735 (0.765)	Data 0.001 (0.002)	Loss 1.9990 (1.8996)	Prec@1 53.906 (50.629)	Prec@5 77.344 (80.498)
Epoch: [63][4210/14090]	Time 0.837 (0.765)	Data 0.001 (0.002)	Loss 1.7467 (1.8994)	Prec@1 47.656 (50.634)	Prec@5 83.594 (80.500)
Epoch: [63][4220/14090]	Time 0.755 (0.765)	Data 0.001 (0.002)	Loss 1.9077 (1.8993)	Prec@1 50.000 (50.635)	Prec@5 77.344 (80.503)
Epoch: [63][4230/14090]	Time 0.746 (0.765)	Data 0.001 (0.002)	Loss 1.8462 (1.8993)	Prec@1 50.781 (50.637)	Prec@5 79.688 (80.501)
Epoch: [63][4240/14090]	Time 0.726 (0.765)	Data 0.001 (0.002)	Loss 1.8119 (1.8992)	Prec@1 60.938 (50.643)	Prec@5 78.906 (80.503)
Epoch: [63][4250/14090]	Time 0.729 (0.765)	Data 0.001 (0.002)	Loss 1.7646 (1.8992)	Prec@1 54.688 (50.642)	Prec@5 83.594 (80.506)
Epoch: [63][4260/14090]	Time 0.748 (0.765)	Data 0.001 (0.002)	Loss 2.3389 (1.8991)	Prec@1 41.406 (50.640)	Prec@5 75.000 (80.507)
Epoch: [63][4270/14090]	Time 0.742 (0.765)	Data 0.001 (0.002)	Loss 1.6883 (1.8989)	Prec@1 57.031 (50.646)	Prec@5 84.375 (80.509)
Epoch: [63][4280/14090]	Time 0.860 (0.765)	Data 0.001 (0.002)	Loss 1.8430 (1.8991)	Prec@1 54.688 (50.646)	Prec@5 83.594 (80.506)
Epoch: [63][4290/14090]	Time 0.730 (0.765)	Data 0.001 (0.002)	Loss 1.9496 (1.8993)	Prec@1 47.656 (50.644)	Prec@5 82.031 (80.502)
Epoch: [63][4300/14090]	Time 0.747 (0.765)	Data 0.001 (0.002)	Loss 1.7071 (1.8992)	Prec@1 53.125 (50.645)	Prec@5 83.594 (80.501)
Epoch: [63][4310/14090]	Time 0.759 (0.765)	Data 0.001 (0.002)	Loss 2.0246 (1.8993)	Prec@1 47.656 (50.643)	Prec@5 76.562 (80.501)
Epoch: [63][4320/14090]	Time 0.755 (0.765)	Data 0.001 (0.002)	Loss 1.8134 (1.8994)	Prec@1 49.219 (50.643)	Prec@5 83.594 (80.499)
Epoch: [63][4330/14090]	Time 0.744 (0.765)	Data 0.001 (0.002)	Loss 2.2346 (1.8994)	Prec@1 42.969 (50.639)	Prec@5 75.781 (80.500)
Epoch: [63][4340/14090]	Time 0.745 (0.765)	Data 0.001 (0.002)	Loss 2.0410 (1.8996)	Prec@1 52.344 (50.636)	Prec@5 82.031 (80.494)
Epoch: [63][4350/14090]	Time 0.866 (0.765)	Data 0.001 (0.002)	Loss 2.0636 (1.8996)	Prec@1 45.312 (50.638)	Prec@5 79.688 (80.494)
Epoch: [63][4360/14090]	Time 0.730 (0.765)	Data 0.001 (0.002)	Loss 1.9931 (1.8997)	Prec@1 45.312 (50.636)	Prec@5 76.562 (80.491)
Epoch: [63][4370/14090]	Time 0.732 (0.765)	Data 0.001 (0.002)	Loss 1.7826 (1.8998)	Prec@1 57.031 (50.635)	Prec@5 82.031 (80.491)
Epoch: [63][4380/14090]	Time 0.760 (0.765)	Data 0.001 (0.002)	Loss 2.0167 (1.8998)	Prec@1 45.312 (50.635)	Prec@5 84.375 (80.495)
Epoch: [63][4390/14090]	Time 0.754 (0.765)	Data 0.001 (0.002)	Loss 1.8286 (1.8998)	Prec@1 57.812 (50.637)	Prec@5 80.469 (80.493)
Epoch: [63][4400/14090]	Time 0.746 (0.765)	Data 0.001 (0.002)	Loss 2.1414 (1.8997)	Prec@1 48.438 (50.643)	Prec@5 74.219 (80.493)
Epoch: [63][4410/14090]	Time 0.727 (0.765)	Data 0.001 (0.002)	Loss 1.9273 (1.8998)	Prec@1 48.438 (50.638)	Prec@5 82.812 (80.492)
Epoch: [63][4420/14090]	Time 0.866 (0.765)	Data 0.001 (0.002)	Loss 2.0654 (1.8999)	Prec@1 42.188 (50.638)	Prec@5 77.344 (80.489)
Epoch: [63][4430/14090]	Time 0.763 (0.765)	Data 0.001 (0.002)	Loss 1.9162 (1.8999)	Prec@1 49.219 (50.638)	Prec@5 84.375 (80.488)
Epoch: [63][4440/14090]	Time 0.745 (0.765)	Data 0.001 (0.002)	Loss 1.8388 (1.8999)	Prec@1 43.750 (50.639)	Prec@5 85.938 (80.489)
Epoch: [63][4450/14090]	Time 0.782 (0.765)	Data 0.001 (0.002)	Loss 1.8450 (1.8998)	Prec@1 55.469 (50.639)	Prec@5 78.906 (80.491)
Epoch: [63][4460/14090]	Time 0.785 (0.765)	Data 0.001 (0.002)	Loss 1.9325 (1.9000)	Prec@1 45.312 (50.637)	Prec@5 82.812 (80.487)
Epoch: [63][4470/14090]	Time 0.724 (0.765)	Data 0.001 (0.002)	Loss 1.6623 (1.8998)	Prec@1 60.938 (50.643)	Prec@5 85.938 (80.492)
Epoch: [63][4480/14090]	Time 0.756 (0.765)	Data 0.001 (0.002)	Loss 1.8326 (1.8998)	Prec@1 51.562 (50.645)	Prec@5 82.812 (80.489)
Epoch: [63][4490/14090]	Time 0.823 (0.765)	Data 0.001 (0.002)	Loss 2.2191 (1.9000)	Prec@1 39.062 (50.645)	Prec@5 75.000 (80.485)
Epoch: [63][4500/14090]	Time 0.726 (0.765)	Data 0.001 (0.002)	Loss 2.0864 (1.9001)	Prec@1 46.094 (50.642)	Prec@5 77.344 (80.485)
Epoch: [63][4510/14090]	Time 0.726 (0.765)	Data 0.001 (0.002)	Loss 1.8784 (1.9000)	Prec@1 53.906 (50.643)	Prec@5 80.469 (80.486)
Epoch: [63][4520/14090]	Time 0.752 (0.765)	Data 0.001 (0.002)	Loss 1.9329 (1.9000)	Prec@1 51.562 (50.639)	Prec@5 78.125 (80.484)
Epoch: [63][4530/14090]	Time 0.740 (0.765)	Data 0.001 (0.002)	Loss 1.9907 (1.9001)	Prec@1 45.312 (50.637)	Prec@5 78.906 (80.482)
Epoch: [63][4540/14090]	Time 0.744 (0.765)	Data 0.001 (0.002)	Loss 1.7934 (1.9000)	Prec@1 50.781 (50.638)	Prec@5 78.125 (80.483)
Epoch: [63][4550/14090]	Time 0.719 (0.765)	Data 0.001 (0.002)	Loss 1.9053 (1.9000)	Prec@1 49.219 (50.637)	Prec@5 84.375 (80.483)
Epoch: [63][4560/14090]	Time 0.832 (0.765)	Data 0.001 (0.002)	Loss 1.8553 (1.9000)	Prec@1 47.656 (50.636)	Prec@5 82.812 (80.484)
Epoch: [63][4570/14090]	Time 0.743 (0.765)	Data 0.001 (0.002)	Loss 1.9096 (1.9000)	Prec@1 53.125 (50.637)	Prec@5 82.812 (80.485)
Epoch: [63][4580/14090]	Time 0.741 (0.765)	Data 0.001 (0.002)	Loss 2.0379 (1.8999)	Prec@1 46.094 (50.636)	Prec@5 77.344 (80.485)
Epoch: [63][4590/14090]	Time 0.756 (0.765)	Data 0.001 (0.002)	Loss 2.0656 (1.9001)	Prec@1 50.781 (50.633)	Prec@5 78.125 (80.483)
Epoch: [63][4600/14090]	Time 0.746 (0.765)	Data 0.001 (0.002)	Loss 1.9273 (1.9002)	Prec@1 51.562 (50.631)	Prec@5 82.031 (80.484)
Epoch: [63][4610/14090]	Time 0.756 (0.765)	Data 0.001 (0.002)	Loss 2.1230 (1.9002)	Prec@1 44.531 (50.632)	Prec@5 75.000 (80.481)
Epoch: [63][4620/14090]	Time 0.784 (0.765)	Data 0.001 (0.002)	Loss 2.0310 (1.9003)	Prec@1 46.094 (50.632)	Prec@5 76.562 (80.481)
Epoch: [63][4630/14090]	Time 0.863 (0.765)	Data 0.001 (0.002)	Loss 1.8926 (1.9001)	Prec@1 56.250 (50.636)	Prec@5 82.031 (80.486)
Epoch: [63][4640/14090]	Time 0.723 (0.765)	Data 0.001 (0.002)	Loss 1.8896 (1.9002)	Prec@1 53.906 (50.635)	Prec@5 78.906 (80.485)
Epoch: [63][4650/14090]	Time 0.731 (0.765)	Data 0.001 (0.002)	Loss 2.0100 (1.9003)	Prec@1 42.969 (50.631)	Prec@5 81.250 (80.484)
Epoch: [63][4660/14090]	Time 0.773 (0.765)	Data 0.001 (0.002)	Loss 1.6584 (1.9002)	Prec@1 50.000 (50.630)	Prec@5 84.375 (80.487)
Epoch: [63][4670/14090]	Time 0.733 (0.765)	Data 0.001 (0.002)	Loss 1.8455 (1.9000)	Prec@1 53.125 (50.636)	Prec@5 82.812 (80.490)
Epoch: [63][4680/14090]	Time 0.737 (0.765)	Data 0.001 (0.002)	Loss 1.8824 (1.8999)	Prec@1 47.656 (50.641)	Prec@5 80.469 (80.489)
Epoch: [63][4690/14090]	Time 0.739 (0.765)	Data 0.001 (0.002)	Loss 2.1661 (1.9002)	Prec@1 48.438 (50.635)	Prec@5 74.219 (80.482)
Epoch: [63][4700/14090]	Time 0.846 (0.765)	Data 0.001 (0.002)	Loss 2.1086 (1.9002)	Prec@1 48.438 (50.638)	Prec@5 75.781 (80.480)
Epoch: [63][4710/14090]	Time 0.729 (0.765)	Data 0.001 (0.002)	Loss 1.8184 (1.9000)	Prec@1 46.875 (50.642)	Prec@5 84.375 (80.483)
Epoch: [63][4720/14090]	Time 0.743 (0.765)	Data 0.001 (0.002)	Loss 1.7452 (1.8999)	Prec@1 53.906 (50.642)	Prec@5 83.594 (80.485)
Epoch: [63][4730/14090]	Time 0.730 (0.765)	Data 0.001 (0.002)	Loss 1.8787 (1.8999)	Prec@1 53.125 (50.644)	Prec@5 81.250 (80.483)
Epoch: [63][4740/14090]	Time 0.734 (0.765)	Data 0.001 (0.002)	Loss 1.8506 (1.8998)	Prec@1 46.094 (50.645)	Prec@5 80.469 (80.486)
Epoch: [63][4750/14090]	Time 0.760 (0.765)	Data 0.001 (0.002)	Loss 1.6512 (1.8998)	Prec@1 58.594 (50.642)	Prec@5 86.719 (80.490)
Epoch: [63][4760/14090]	Time 0.792 (0.765)	Data 0.001 (0.002)	Loss 1.9549 (1.9000)	Prec@1 46.094 (50.637)	Prec@5 79.688 (80.484)
Epoch: [63][4770/14090]	Time 0.868 (0.765)	Data 0.001 (0.002)	Loss 1.7405 (1.9000)	Prec@1 57.031 (50.637)	Prec@5 81.250 (80.484)
Epoch: [63][4780/14090]	Time 0.744 (0.765)	Data 0.001 (0.002)	Loss 1.8976 (1.9001)	Prec@1 50.000 (50.635)	Prec@5 79.688 (80.481)
Epoch: [63][4790/14090]	Time 0.763 (0.765)	Data 0.001 (0.002)	Loss 2.0819 (1.9003)	Prec@1 46.094 (50.632)	Prec@5 72.656 (80.476)
Epoch: [63][4800/14090]	Time 0.764 (0.765)	Data 0.001 (0.002)	Loss 1.9465 (1.9001)	Prec@1 48.438 (50.635)	Prec@5 79.688 (80.478)
Epoch: [63][4810/14090]	Time 0.735 (0.765)	Data 0.001 (0.002)	Loss 1.7163 (1.9001)	Prec@1 46.875 (50.637)	Prec@5 86.719 (80.479)
Epoch: [63][4820/14090]	Time 0.757 (0.765)	Data 0.001 (0.002)	Loss 1.6468 (1.9001)	Prec@1 58.594 (50.637)	Prec@5 85.156 (80.480)
Epoch: [63][4830/14090]	Time 0.735 (0.765)	Data 0.001 (0.002)	Loss 2.0895 (1.9002)	Prec@1 46.094 (50.637)	Prec@5 75.000 (80.477)
Epoch: [63][4840/14090]	Time 0.868 (0.765)	Data 0.001 (0.002)	Loss 2.0753 (1.9002)	Prec@1 46.875 (50.637)	Prec@5 78.906 (80.475)
Epoch: [63][4850/14090]	Time 0.749 (0.765)	Data 0.003 (0.002)	Loss 1.8450 (1.9002)	Prec@1 53.906 (50.638)	Prec@5 80.469 (80.475)
Epoch: [63][4860/14090]	Time 0.768 (0.765)	Data 0.001 (0.002)	Loss 1.9609 (1.9001)	Prec@1 51.562 (50.639)	Prec@5 80.469 (80.478)
Epoch: [63][4870/14090]	Time 0.735 (0.765)	Data 0.001 (0.002)	Loss 1.8293 (1.9001)	Prec@1 50.781 (50.635)	Prec@5 77.344 (80.477)
Epoch: [63][4880/14090]	Time 0.731 (0.765)	Data 0.001 (0.002)	Loss 2.0815 (1.9003)	Prec@1 48.438 (50.633)	Prec@5 74.219 (80.472)
Epoch: [63][4890/14090]	Time 0.758 (0.765)	Data 0.001 (0.002)	Loss 1.9741 (1.9005)	Prec@1 51.562 (50.630)	Prec@5 74.219 (80.465)
Epoch: [63][4900/14090]	Time 0.727 (0.765)	Data 0.001 (0.002)	Loss 2.0633 (1.9004)	Prec@1 52.344 (50.633)	Prec@5 78.906 (80.469)
Epoch: [63][4910/14090]	Time 0.904 (0.765)	Data 0.001 (0.002)	Loss 1.8720 (1.9004)	Prec@1 46.094 (50.632)	Prec@5 79.688 (80.469)
Epoch: [63][4920/14090]	Time 0.733 (0.765)	Data 0.001 (0.002)	Loss 2.0558 (1.9002)	Prec@1 47.656 (50.634)	Prec@5 78.125 (80.471)
Epoch: [63][4930/14090]	Time 0.729 (0.765)	Data 0.001 (0.002)	Loss 1.5377 (1.9001)	Prec@1 61.719 (50.637)	Prec@5 86.719 (80.474)
Epoch: [63][4940/14090]	Time 0.738 (0.765)	Data 0.001 (0.002)	Loss 1.9475 (1.9001)	Prec@1 53.125 (50.637)	Prec@5 78.906 (80.474)
Epoch: [63][4950/14090]	Time 0.745 (0.765)	Data 0.001 (0.002)	Loss 1.9486 (1.9002)	Prec@1 47.656 (50.632)	Prec@5 77.344 (80.472)
Epoch: [63][4960/14090]	Time 0.751 (0.765)	Data 0.001 (0.002)	Loss 1.8893 (1.9003)	Prec@1 53.125 (50.633)	Prec@5 83.594 (80.472)
Epoch: [63][4970/14090]	Time 0.755 (0.765)	Data 0.001 (0.002)	Loss 1.8037 (1.9001)	Prec@1 52.344 (50.634)	Prec@5 81.250 (80.477)
Epoch: [63][4980/14090]	Time 0.974 (0.765)	Data 0.001 (0.002)	Loss 2.1047 (1.9003)	Prec@1 46.094 (50.631)	Prec@5 77.344 (80.474)
Epoch: [63][4990/14090]	Time 0.735 (0.765)	Data 0.001 (0.002)	Loss 1.8102 (1.9004)	Prec@1 48.438 (50.627)	Prec@5 81.250 (80.474)
Epoch: [63][5000/14090]	Time 0.723 (0.765)	Data 0.001 (0.002)	Loss 2.0989 (1.9004)	Prec@1 45.312 (50.627)	Prec@5 81.250 (80.473)
Epoch: [63][5010/14090]	Time 0.769 (0.765)	Data 0.001 (0.002)	Loss 1.7655 (1.9004)	Prec@1 59.375 (50.627)	Prec@5 81.250 (80.474)
Epoch: [63][5020/14090]	Time 0.771 (0.765)	Data 0.001 (0.002)	Loss 1.5696 (1.9003)	Prec@1 62.500 (50.627)	Prec@5 82.812 (80.476)
Epoch: [63][5030/14090]	Time 0.736 (0.765)	Data 0.001 (0.002)	Loss 1.7837 (1.9003)	Prec@1 52.344 (50.627)	Prec@5 82.031 (80.475)
Epoch: [63][5040/14090]	Time 0.763 (0.765)	Data 0.001 (0.002)	Loss 1.9217 (1.9002)	Prec@1 47.656 (50.629)	Prec@5 80.469 (80.478)
Epoch: [63][5050/14090]	Time 0.860 (0.765)	Data 0.001 (0.002)	Loss 1.8050 (1.9003)	Prec@1 57.812 (50.631)	Prec@5 85.938 (80.474)
Epoch: [63][5060/14090]	Time 0.729 (0.765)	Data 0.001 (0.002)	Loss 1.8621 (1.9002)	Prec@1 54.688 (50.632)	Prec@5 82.031 (80.473)
Epoch: [63][5070/14090]	Time 0.735 (0.765)	Data 0.002 (0.002)	Loss 2.1494 (1.9004)	Prec@1 50.000 (50.630)	Prec@5 77.344 (80.473)
Epoch: [63][5080/14090]	Time 0.760 (0.765)	Data 0.001 (0.002)	Loss 2.0120 (1.9004)	Prec@1 43.750 (50.629)	Prec@5 80.469 (80.473)
Epoch: [63][5090/14090]	Time 0.778 (0.765)	Data 0.001 (0.002)	Loss 1.8382 (1.9002)	Prec@1 51.562 (50.630)	Prec@5 80.469 (80.476)
Epoch: [63][5100/14090]	Time 0.788 (0.765)	Data 0.001 (0.002)	Loss 1.9428 (1.9003)	Prec@1 50.781 (50.628)	Prec@5 78.906 (80.473)
Epoch: [63][5110/14090]	Time 0.740 (0.765)	Data 0.004 (0.002)	Loss 1.7011 (1.9003)	Prec@1 53.906 (50.627)	Prec@5 88.281 (80.473)
Epoch: [63][5120/14090]	Time 0.862 (0.765)	Data 0.001 (0.002)	Loss 1.8165 (1.9003)	Prec@1 50.781 (50.626)	Prec@5 81.250 (80.475)
Epoch: [63][5130/14090]	Time 0.734 (0.765)	Data 0.001 (0.002)	Loss 1.8508 (1.9002)	Prec@1 50.781 (50.629)	Prec@5 80.469 (80.477)
Epoch: [63][5140/14090]	Time 0.725 (0.765)	Data 0.001 (0.002)	Loss 1.9830 (1.9001)	Prec@1 45.312 (50.632)	Prec@5 81.250 (80.478)
Epoch: [63][5150/14090]	Time 0.778 (0.765)	Data 0.001 (0.002)	Loss 1.8990 (1.9000)	Prec@1 49.219 (50.639)	Prec@5 79.688 (80.481)
Epoch: [63][5160/14090]	Time 0.754 (0.765)	Data 0.001 (0.002)	Loss 2.0362 (1.9003)	Prec@1 48.438 (50.634)	Prec@5 74.219 (80.476)
Epoch: [63][5170/14090]	Time 0.762 (0.765)	Data 0.001 (0.002)	Loss 1.8546 (1.9002)	Prec@1 53.906 (50.638)	Prec@5 82.031 (80.477)
Epoch: [63][5180/14090]	Time 0.752 (0.765)	Data 0.001 (0.002)	Loss 1.6606 (1.9004)	Prec@1 59.375 (50.635)	Prec@5 80.469 (80.472)
Epoch: [63][5190/14090]	Time 0.835 (0.765)	Data 0.001 (0.002)	Loss 1.8991 (1.9004)	Prec@1 45.312 (50.633)	Prec@5 80.469 (80.472)
Epoch: [63][5200/14090]	Time 0.749 (0.765)	Data 0.001 (0.002)	Loss 1.8462 (1.9004)	Prec@1 49.219 (50.630)	Prec@5 79.688 (80.472)
Epoch: [63][5210/14090]	Time 0.738 (0.765)	Data 0.001 (0.002)	Loss 1.9661 (1.9004)	Prec@1 47.656 (50.630)	Prec@5 83.594 (80.472)
Epoch: [63][5220/14090]	Time 0.727 (0.765)	Data 0.001 (0.002)	Loss 1.7745 (1.9004)	Prec@1 46.094 (50.629)	Prec@5 84.375 (80.473)
Epoch: [63][5230/14090]	Time 0.723 (0.765)	Data 0.001 (0.002)	Loss 1.6675 (1.9005)	Prec@1 54.688 (50.627)	Prec@5 85.938 (80.470)
Epoch: [63][5240/14090]	Time 0.754 (0.765)	Data 0.001 (0.002)	Loss 1.7307 (1.9005)	Prec@1 53.906 (50.626)	Prec@5 83.594 (80.469)
Epoch: [63][5250/14090]	Time 0.749 (0.765)	Data 0.001 (0.002)	Loss 2.1221 (1.9006)	Prec@1 46.094 (50.624)	Prec@5 77.344 (80.467)
Epoch: [63][5260/14090]	Time 0.842 (0.765)	Data 0.001 (0.002)	Loss 2.1497 (1.9006)	Prec@1 49.219 (50.623)	Prec@5 73.438 (80.466)
Epoch: [63][5270/14090]	Time 0.744 (0.765)	Data 0.001 (0.002)	Loss 1.8791 (1.9005)	Prec@1 49.219 (50.625)	Prec@5 78.906 (80.466)
Epoch: [63][5280/14090]	Time 0.752 (0.765)	Data 0.001 (0.002)	Loss 1.8956 (1.9006)	Prec@1 50.000 (50.623)	Prec@5 82.031 (80.466)
Epoch: [63][5290/14090]	Time 0.768 (0.765)	Data 0.001 (0.002)	Loss 1.8998 (1.9007)	Prec@1 53.906 (50.621)	Prec@5 78.125 (80.463)
Epoch: [63][5300/14090]	Time 0.729 (0.765)	Data 0.001 (0.002)	Loss 1.8595 (1.9006)	Prec@1 47.656 (50.622)	Prec@5 82.031 (80.465)
Epoch: [63][5310/14090]	Time 0.745 (0.765)	Data 0.001 (0.002)	Loss 2.0369 (1.9006)	Prec@1 46.875 (50.624)	Prec@5 80.469 (80.465)
Epoch: [63][5320/14090]	Time 0.729 (0.765)	Data 0.001 (0.002)	Loss 1.8522 (1.9005)	Prec@1 53.125 (50.630)	Prec@5 77.344 (80.465)
Epoch: [63][5330/14090]	Time 0.862 (0.765)	Data 0.001 (0.002)	Loss 2.2017 (1.9005)	Prec@1 46.094 (50.632)	Prec@5 72.656 (80.464)
Epoch: [63][5340/14090]	Time 0.727 (0.765)	Data 0.001 (0.002)	Loss 1.6964 (1.9003)	Prec@1 50.000 (50.634)	Prec@5 82.812 (80.467)
Epoch: [63][5350/14090]	Time 0.757 (0.765)	Data 0.001 (0.002)	Loss 1.6764 (1.9001)	Prec@1 61.719 (50.642)	Prec@5 82.812 (80.470)
Epoch: [63][5360/14090]	Time 0.741 (0.765)	Data 0.001 (0.002)	Loss 1.9850 (1.9001)	Prec@1 44.531 (50.647)	Prec@5 82.812 (80.469)
Epoch: [63][5370/14090]	Time 0.727 (0.765)	Data 0.001 (0.002)	Loss 1.8654 (1.9001)	Prec@1 51.562 (50.646)	Prec@5 78.125 (80.468)
Epoch: [63][5380/14090]	Time 0.764 (0.765)	Data 0.001 (0.002)	Loss 2.1297 (1.9002)	Prec@1 54.688 (50.646)	Prec@5 74.219 (80.469)
Epoch: [63][5390/14090]	Time 0.759 (0.765)	Data 0.001 (0.002)	Loss 1.9714 (1.9001)	Prec@1 46.094 (50.648)	Prec@5 83.594 (80.472)
Epoch: [63][5400/14090]	Time 0.827 (0.765)	Data 0.001 (0.002)	Loss 1.7689 (1.8999)	Prec@1 53.906 (50.655)	Prec@5 85.156 (80.474)
Epoch: [63][5410/14090]	Time 0.774 (0.765)	Data 0.001 (0.002)	Loss 1.8356 (1.8998)	Prec@1 52.344 (50.658)	Prec@5 84.375 (80.476)
Epoch: [63][5420/14090]	Time 0.758 (0.765)	Data 0.001 (0.002)	Loss 1.6142 (1.8998)	Prec@1 55.469 (50.655)	Prec@5 88.281 (80.477)
Epoch: [63][5430/14090]	Time 0.746 (0.765)	Data 0.001 (0.002)	Loss 1.9835 (1.8999)	Prec@1 51.562 (50.655)	Prec@5 78.125 (80.478)
Epoch: [63][5440/14090]	Time 0.731 (0.765)	Data 0.001 (0.002)	Loss 1.9403 (1.9000)	Prec@1 53.125 (50.653)	Prec@5 78.906 (80.477)
Epoch: [63][5450/14090]	Time 0.748 (0.765)	Data 0.001 (0.002)	Loss 1.7952 (1.9000)	Prec@1 56.250 (50.654)	Prec@5 78.906 (80.474)
Epoch: [63][5460/14090]	Time 0.761 (0.765)	Data 0.001 (0.002)	Loss 1.9920 (1.9001)	Prec@1 48.438 (50.653)	Prec@5 77.344 (80.474)
Epoch: [63][5470/14090]	Time 0.904 (0.765)	Data 0.001 (0.002)	Loss 1.8445 (1.9001)	Prec@1 52.344 (50.651)	Prec@5 79.688 (80.475)
Epoch: [63][5480/14090]	Time 0.736 (0.765)	Data 0.001 (0.002)	Loss 2.0918 (1.9001)	Prec@1 45.312 (50.651)	Prec@5 78.125 (80.473)
Epoch: [63][5490/14090]	Time 0.766 (0.765)	Data 0.001 (0.002)	Loss 1.7691 (1.9003)	Prec@1 56.250 (50.650)	Prec@5 77.344 (80.467)
Epoch: [63][5500/14090]	Time 0.741 (0.765)	Data 0.001 (0.002)	Loss 1.9147 (1.9004)	Prec@1 49.219 (50.647)	Prec@5 79.688 (80.465)
Epoch: [63][5510/14090]	Time 0.759 (0.765)	Data 0.001 (0.002)	Loss 1.8584 (1.9004)	Prec@1 53.125 (50.646)	Prec@5 81.250 (80.465)
Epoch: [63][5520/14090]	Time 0.761 (0.765)	Data 0.001 (0.002)	Loss 1.6672 (1.9004)	Prec@1 53.906 (50.646)	Prec@5 85.156 (80.465)
Epoch: [63][5530/14090]	Time 0.753 (0.765)	Data 0.001 (0.002)	Loss 1.6280 (1.9003)	Prec@1 57.031 (50.649)	Prec@5 86.719 (80.469)
Epoch: [63][5540/14090]	Time 0.866 (0.765)	Data 0.001 (0.002)	Loss 1.9624 (1.9002)	Prec@1 52.344 (50.647)	Prec@5 77.344 (80.471)
Epoch: [63][5550/14090]	Time 0.726 (0.765)	Data 0.001 (0.002)	Loss 1.6235 (1.9000)	Prec@1 57.812 (50.649)	Prec@5 82.031 (80.472)
Epoch: [63][5560/14090]	Time 0.758 (0.765)	Data 0.001 (0.002)	Loss 1.7343 (1.9000)	Prec@1 51.562 (50.649)	Prec@5 85.938 (80.472)
Epoch: [63][5570/14090]	Time 0.719 (0.765)	Data 0.001 (0.002)	Loss 1.7635 (1.9002)	Prec@1 56.250 (50.647)	Prec@5 83.594 (80.470)
Epoch: [63][5580/14090]	Time 0.724 (0.765)	Data 0.001 (0.002)	Loss 1.9074 (1.9002)	Prec@1 53.906 (50.647)	Prec@5 78.906 (80.470)
Epoch: [63][5590/14090]	Time 0.759 (0.765)	Data 0.001 (0.002)	Loss 2.0868 (1.9002)	Prec@1 44.531 (50.646)	Prec@5 79.688 (80.470)
Epoch: [63][5600/14090]	Time 0.754 (0.765)	Data 0.001 (0.002)	Loss 2.0782 (1.9003)	Prec@1 49.219 (50.651)	Prec@5 75.000 (80.467)
Epoch: [63][5610/14090]	Time 0.856 (0.765)	Data 0.001 (0.002)	Loss 1.8875 (1.9004)	Prec@1 48.438 (50.650)	Prec@5 83.594 (80.466)
Epoch: [63][5620/14090]	Time 0.742 (0.765)	Data 0.001 (0.002)	Loss 1.6840 (1.9003)	Prec@1 56.250 (50.653)	Prec@5 82.812 (80.468)
Epoch: [63][5630/14090]	Time 0.726 (0.765)	Data 0.001 (0.002)	Loss 1.7579 (1.9004)	Prec@1 53.906 (50.652)	Prec@5 85.938 (80.467)
Epoch: [63][5640/14090]	Time 0.751 (0.765)	Data 0.001 (0.002)	Loss 1.6297 (1.9003)	Prec@1 50.000 (50.650)	Prec@5 90.625 (80.466)
Epoch: [63][5650/14090]	Time 0.752 (0.765)	Data 0.001 (0.002)	Loss 2.0768 (1.9004)	Prec@1 44.531 (50.648)	Prec@5 75.781 (80.463)
Epoch: [63][5660/14090]	Time 0.754 (0.765)	Data 0.001 (0.002)	Loss 1.8841 (1.9003)	Prec@1 50.781 (50.651)	Prec@5 80.469 (80.464)
Epoch: [63][5670/14090]	Time 0.766 (0.765)	Data 0.001 (0.002)	Loss 2.0190 (1.9002)	Prec@1 49.219 (50.653)	Prec@5 77.344 (80.464)
Epoch: [63][5680/14090]	Time 0.853 (0.765)	Data 0.001 (0.002)	Loss 1.9750 (1.9002)	Prec@1 47.656 (50.651)	Prec@5 77.344 (80.463)
Epoch: [63][5690/14090]	Time 0.754 (0.765)	Data 0.001 (0.002)	Loss 1.9870 (1.9002)	Prec@1 47.656 (50.652)	Prec@5 81.250 (80.463)
Epoch: [63][5700/14090]	Time 0.764 (0.765)	Data 0.001 (0.002)	Loss 1.8943 (1.9002)	Prec@1 53.906 (50.653)	Prec@5 76.562 (80.461)
Epoch: [63][5710/14090]	Time 0.730 (0.765)	Data 0.001 (0.002)	Loss 1.8127 (1.9002)	Prec@1 52.344 (50.653)	Prec@5 82.031 (80.462)
Epoch: [63][5720/14090]	Time 0.746 (0.765)	Data 0.001 (0.002)	Loss 1.7985 (1.9002)	Prec@1 50.781 (50.651)	Prec@5 77.344 (80.461)
Epoch: [63][5730/14090]	Time 0.754 (0.765)	Data 0.001 (0.002)	Loss 1.7119 (1.9002)	Prec@1 55.469 (50.654)	Prec@5 85.156 (80.462)
Epoch: [63][5740/14090]	Time 0.738 (0.765)	Data 0.001 (0.002)	Loss 1.8790 (1.9000)	Prec@1 50.000 (50.656)	Prec@5 79.688 (80.466)
Epoch: [63][5750/14090]	Time 0.920 (0.765)	Data 0.001 (0.002)	Loss 1.6946 (1.9001)	Prec@1 53.125 (50.656)	Prec@5 85.938 (80.466)
Epoch: [63][5760/14090]	Time 0.758 (0.765)	Data 0.001 (0.002)	Loss 1.7065 (1.9000)	Prec@1 55.469 (50.657)	Prec@5 85.156 (80.468)
Epoch: [63][5770/14090]	Time 0.723 (0.765)	Data 0.001 (0.002)	Loss 1.7268 (1.8999)	Prec@1 59.375 (50.663)	Prec@5 83.594 (80.468)
Epoch: [63][5780/14090]	Time 0.758 (0.765)	Data 0.001 (0.002)	Loss 1.7536 (1.8998)	Prec@1 50.781 (50.666)	Prec@5 89.062 (80.471)
Epoch: [63][5790/14090]	Time 0.748 (0.765)	Data 0.001 (0.002)	Loss 1.9669 (1.8997)	Prec@1 49.219 (50.665)	Prec@5 77.344 (80.470)
Epoch: [63][5800/14090]	Time 0.733 (0.765)	Data 0.001 (0.002)	Loss 2.1615 (1.8998)	Prec@1 50.781 (50.664)	Prec@5 79.688 (80.469)
Epoch: [63][5810/14090]	Time 0.759 (0.765)	Data 0.001 (0.002)	Loss 1.9786 (1.8998)	Prec@1 48.438 (50.665)	Prec@5 79.688 (80.468)
Epoch: [63][5820/14090]	Time 0.867 (0.765)	Data 0.001 (0.002)	Loss 1.6236 (1.8998)	Prec@1 51.562 (50.667)	Prec@5 86.719 (80.469)
Epoch: [63][5830/14090]	Time 0.771 (0.765)	Data 0.001 (0.002)	Loss 1.7974 (1.8996)	Prec@1 54.688 (50.670)	Prec@5 83.594 (80.471)
Epoch: [63][5840/14090]	Time 0.745 (0.765)	Data 0.001 (0.002)	Loss 2.0252 (1.8998)	Prec@1 46.875 (50.666)	Prec@5 78.125 (80.467)
Epoch: [63][5850/14090]	Time 0.739 (0.765)	Data 0.001 (0.002)	Loss 1.9347 (1.8999)	Prec@1 51.562 (50.666)	Prec@5 77.344 (80.464)
Epoch: [63][5860/14090]	Time 0.726 (0.765)	Data 0.001 (0.002)	Loss 1.7424 (1.9000)	Prec@1 50.781 (50.668)	Prec@5 82.812 (80.462)
Epoch: [63][5870/14090]	Time 0.755 (0.765)	Data 0.001 (0.002)	Loss 2.0413 (1.9000)	Prec@1 46.094 (50.669)	Prec@5 75.781 (80.462)
Epoch: [63][5880/14090]	Time 0.745 (0.765)	Data 0.001 (0.002)	Loss 2.0130 (1.8999)	Prec@1 46.875 (50.671)	Prec@5 78.906 (80.463)
Epoch: [63][5890/14090]	Time 0.849 (0.765)	Data 0.001 (0.002)	Loss 1.9910 (1.8999)	Prec@1 43.750 (50.670)	Prec@5 75.781 (80.464)
Epoch: [63][5900/14090]	Time 0.723 (0.765)	Data 0.001 (0.002)	Loss 1.8534 (1.8999)	Prec@1 46.875 (50.672)	Prec@5 82.812 (80.465)
Epoch: [63][5910/14090]	Time 0.763 (0.765)	Data 0.001 (0.002)	Loss 2.0174 (1.8999)	Prec@1 51.562 (50.675)	Prec@5 78.125 (80.465)
Epoch: [63][5920/14090]	Time 0.771 (0.765)	Data 0.001 (0.002)	Loss 1.8400 (1.9000)	Prec@1 52.344 (50.673)	Prec@5 82.812 (80.463)
Epoch: [63][5930/14090]	Time 0.743 (0.765)	Data 0.001 (0.002)	Loss 2.0627 (1.9000)	Prec@1 47.656 (50.671)	Prec@5 77.344 (80.461)
Epoch: [63][5940/14090]	Time 0.755 (0.765)	Data 0.001 (0.002)	Loss 1.7522 (1.9000)	Prec@1 55.469 (50.673)	Prec@5 79.688 (80.460)
Epoch: [63][5950/14090]	Time 0.761 (0.765)	Data 0.001 (0.002)	Loss 1.5929 (1.8999)	Prec@1 63.281 (50.679)	Prec@5 82.812 (80.463)
Epoch: [63][5960/14090]	Time 0.856 (0.765)	Data 0.001 (0.002)	Loss 1.5900 (1.8997)	Prec@1 60.156 (50.684)	Prec@5 87.500 (80.468)
Epoch: [63][5970/14090]	Time 0.728 (0.765)	Data 0.001 (0.002)	Loss 2.0992 (1.8996)	Prec@1 49.219 (50.687)	Prec@5 75.000 (80.469)
Epoch: [63][5980/14090]	Time 0.739 (0.765)	Data 0.001 (0.002)	Loss 2.1730 (1.8996)	Prec@1 46.875 (50.684)	Prec@5 82.031 (80.469)
Epoch: [63][5990/14090]	Time 0.722 (0.765)	Data 0.001 (0.002)	Loss 1.9653 (1.8996)	Prec@1 50.000 (50.683)	Prec@5 80.469 (80.468)
Epoch: [63][6000/14090]	Time 0.763 (0.765)	Data 0.001 (0.002)	Loss 1.8603 (1.8996)	Prec@1 51.562 (50.681)	Prec@5 82.031 (80.469)
Epoch: [63][6010/14090]	Time 0.745 (0.765)	Data 0.001 (0.002)	Loss 2.1914 (1.8997)	Prec@1 42.969 (50.679)	Prec@5 77.344 (80.469)
Epoch: [63][6020/14090]	Time 0.727 (0.765)	Data 0.001 (0.002)	Loss 1.7958 (1.8996)	Prec@1 53.125 (50.681)	Prec@5 81.250 (80.471)
Epoch: [63][6030/14090]	Time 0.890 (0.765)	Data 0.001 (0.002)	Loss 1.9065 (1.8997)	Prec@1 49.219 (50.679)	Prec@5 78.125 (80.467)
Epoch: [63][6040/14090]	Time 0.724 (0.765)	Data 0.001 (0.002)	Loss 1.8682 (1.8996)	Prec@1 48.438 (50.680)	Prec@5 78.125 (80.469)
Epoch: [63][6050/14090]	Time 0.734 (0.765)	Data 0.001 (0.002)	Loss 1.7623 (1.8996)	Prec@1 50.781 (50.680)	Prec@5 85.938 (80.470)
Epoch: [63][6060/14090]	Time 0.750 (0.765)	Data 0.001 (0.002)	Loss 1.7556 (1.8995)	Prec@1 54.688 (50.683)	Prec@5 87.500 (80.473)
Epoch: [63][6070/14090]	Time 0.749 (0.765)	Data 0.001 (0.002)	Loss 1.9579 (1.8995)	Prec@1 47.656 (50.683)	Prec@5 82.031 (80.475)
Epoch: [63][6080/14090]	Time 0.728 (0.765)	Data 0.001 (0.002)	Loss 1.7572 (1.8995)	Prec@1 53.125 (50.680)	Prec@5 82.031 (80.474)
Epoch: [63][6090/14090]	Time 0.732 (0.765)	Data 0.001 (0.002)	Loss 1.6180 (1.8995)	Prec@1 57.031 (50.681)	Prec@5 86.719 (80.475)
Epoch: [63][6100/14090]	Time 0.843 (0.765)	Data 0.001 (0.002)	Loss 2.0300 (1.8994)	Prec@1 51.562 (50.683)	Prec@5 81.250 (80.476)
Epoch: [63][6110/14090]	Time 0.740 (0.765)	Data 0.001 (0.002)	Loss 1.6529 (1.8994)	Prec@1 53.125 (50.683)	Prec@5 84.375 (80.476)
Epoch: [63][6120/14090]	Time 0.758 (0.765)	Data 0.001 (0.002)	Loss 2.0620 (1.8994)	Prec@1 45.312 (50.683)	Prec@5 76.562 (80.476)
Epoch: [63][6130/14090]	Time 0.751 (0.765)	Data 0.001 (0.002)	Loss 1.7167 (1.8993)	Prec@1 53.125 (50.686)	Prec@5 82.031 (80.477)
Epoch: [63][6140/14090]	Time 0.742 (0.765)	Data 0.001 (0.002)	Loss 1.7444 (1.8993)	Prec@1 51.562 (50.683)	Prec@5 84.375 (80.477)
Epoch: [63][6150/14090]	Time 0.726 (0.765)	Data 0.003 (0.002)	Loss 1.7742 (1.8993)	Prec@1 49.219 (50.684)	Prec@5 80.469 (80.478)
Epoch: [63][6160/14090]	Time 0.734 (0.765)	Data 0.001 (0.002)	Loss 1.9786 (1.8992)	Prec@1 43.750 (50.685)	Prec@5 82.031 (80.481)
Epoch: [63][6170/14090]	Time 0.836 (0.765)	Data 0.001 (0.002)	Loss 2.1648 (1.8992)	Prec@1 38.281 (50.684)	Prec@5 78.125 (80.482)
Epoch: [63][6180/14090]	Time 0.725 (0.765)	Data 0.001 (0.002)	Loss 1.9541 (1.8993)	Prec@1 48.438 (50.684)	Prec@5 78.906 (80.479)
Epoch: [63][6190/14090]	Time 0.733 (0.765)	Data 0.001 (0.002)	Loss 1.9534 (1.8993)	Prec@1 44.531 (50.685)	Prec@5 78.906 (80.478)
Epoch: [63][6200/14090]	Time 0.746 (0.765)	Data 0.001 (0.002)	Loss 1.9399 (1.8993)	Prec@1 49.219 (50.687)	Prec@5 78.125 (80.477)
Epoch: [63][6210/14090]	Time 0.723 (0.765)	Data 0.001 (0.002)	Loss 1.9606 (1.8992)	Prec@1 48.438 (50.688)	Prec@5 78.906 (80.479)
Epoch: [63][6220/14090]	Time 0.736 (0.765)	Data 0.001 (0.002)	Loss 1.9806 (1.8992)	Prec@1 48.438 (50.688)	Prec@5 74.219 (80.479)
Epoch: [63][6230/14090]	Time 0.752 (0.765)	Data 0.001 (0.002)	Loss 1.6318 (1.8991)	Prec@1 64.062 (50.690)	Prec@5 85.156 (80.482)
Epoch: [63][6240/14090]	Time 0.824 (0.765)	Data 0.001 (0.002)	Loss 1.9585 (1.8991)	Prec@1 50.781 (50.688)	Prec@5 82.031 (80.483)
Epoch: [63][6250/14090]	Time 0.730 (0.765)	Data 0.001 (0.002)	Loss 1.6608 (1.8990)	Prec@1 50.000 (50.688)	Prec@5 85.938 (80.483)
Epoch: [63][6260/14090]	Time 0.735 (0.765)	Data 0.001 (0.002)	Loss 2.0276 (1.8991)	Prec@1 46.094 (50.689)	Prec@5 79.688 (80.484)
Epoch: [63][6270/14090]	Time 0.767 (0.765)	Data 0.001 (0.002)	Loss 2.0588 (1.8991)	Prec@1 46.094 (50.687)	Prec@5 78.906 (80.485)
Epoch: [63][6280/14090]	Time 0.757 (0.765)	Data 0.001 (0.002)	Loss 1.6449 (1.8991)	Prec@1 57.031 (50.687)	Prec@5 86.719 (80.488)
Epoch: [63][6290/14090]	Time 0.738 (0.765)	Data 0.001 (0.002)	Loss 1.7448 (1.8991)	Prec@1 58.594 (50.687)	Prec@5 82.031 (80.488)
Epoch: [63][6300/14090]	Time 0.727 (0.765)	Data 0.001 (0.002)	Loss 1.8754 (1.8991)	Prec@1 53.906 (50.688)	Prec@5 78.906 (80.487)
Epoch: [63][6310/14090]	Time 0.865 (0.765)	Data 0.001 (0.002)	Loss 2.0225 (1.8991)	Prec@1 49.219 (50.690)	Prec@5 79.688 (80.488)
Epoch: [63][6320/14090]	Time 0.732 (0.765)	Data 0.001 (0.002)	Loss 1.9816 (1.8990)	Prec@1 46.094 (50.691)	Prec@5 82.812 (80.490)
Epoch: [63][6330/14090]	Time 0.744 (0.765)	Data 0.001 (0.002)	Loss 2.0551 (1.8991)	Prec@1 50.781 (50.691)	Prec@5 76.562 (80.487)
Epoch: [63][6340/14090]	Time 0.731 (0.765)	Data 0.001 (0.002)	Loss 1.8047 (1.8992)	Prec@1 51.562 (50.689)	Prec@5 82.031 (80.484)
Epoch: [63][6350/14090]	Time 0.741 (0.765)	Data 0.001 (0.002)	Loss 1.8313 (1.8992)	Prec@1 51.562 (50.689)	Prec@5 82.812 (80.482)
Epoch: [63][6360/14090]	Time 0.754 (0.765)	Data 0.001 (0.002)	Loss 2.0165 (1.8992)	Prec@1 48.438 (50.689)	Prec@5 80.469 (80.483)
Epoch: [63][6370/14090]	Time 0.749 (0.765)	Data 0.001 (0.002)	Loss 1.6883 (1.8991)	Prec@1 50.000 (50.690)	Prec@5 83.594 (80.486)
Epoch: [63][6380/14090]	Time 0.836 (0.765)	Data 0.001 (0.002)	Loss 1.7389 (1.8989)	Prec@1 53.906 (50.696)	Prec@5 84.375 (80.488)
Epoch: [63][6390/14090]	Time 0.724 (0.765)	Data 0.001 (0.002)	Loss 1.8063 (1.8988)	Prec@1 56.250 (50.699)	Prec@5 85.156 (80.488)
Epoch: [63][6400/14090]	Time 0.737 (0.765)	Data 0.001 (0.002)	Loss 1.9010 (1.8988)	Prec@1 48.438 (50.696)	Prec@5 81.250 (80.488)
Epoch: [63][6410/14090]	Time 0.763 (0.765)	Data 0.001 (0.002)	Loss 2.0536 (1.8989)	Prec@1 45.312 (50.696)	Prec@5 80.469 (80.486)
Epoch: [63][6420/14090]	Time 0.759 (0.765)	Data 0.001 (0.002)	Loss 1.9192 (1.8989)	Prec@1 50.000 (50.697)	Prec@5 80.469 (80.488)
Epoch: [63][6430/14090]	Time 0.728 (0.765)	Data 0.001 (0.002)	Loss 1.8723 (1.8988)	Prec@1 50.000 (50.697)	Prec@5 81.250 (80.489)
Epoch: [63][6440/14090]	Time 0.747 (0.765)	Data 0.001 (0.002)	Loss 1.9420 (1.8990)	Prec@1 55.469 (50.697)	Prec@5 78.906 (80.486)
Epoch: [63][6450/14090]	Time 0.870 (0.765)	Data 0.001 (0.002)	Loss 2.1171 (1.8991)	Prec@1 42.969 (50.692)	Prec@5 77.344 (80.484)
Epoch: [63][6460/14090]	Time 0.738 (0.765)	Data 0.001 (0.002)	Loss 1.8073 (1.8991)	Prec@1 52.344 (50.691)	Prec@5 85.156 (80.485)
Epoch: [63][6470/14090]	Time 0.755 (0.765)	Data 0.001 (0.002)	Loss 1.8386 (1.8992)	Prec@1 48.438 (50.690)	Prec@5 80.469 (80.484)
Epoch: [63][6480/14090]	Time 0.746 (0.765)	Data 0.001 (0.002)	Loss 1.8710 (1.8993)	Prec@1 49.219 (50.685)	Prec@5 82.812 (80.485)
Epoch: [63][6490/14090]	Time 0.755 (0.765)	Data 0.001 (0.002)	Loss 1.9407 (1.8995)	Prec@1 50.781 (50.680)	Prec@5 78.125 (80.480)
Epoch: [63][6500/14090]	Time 0.742 (0.765)	Data 0.001 (0.002)	Loss 2.0006 (1.8994)	Prec@1 50.000 (50.682)	Prec@5 78.125 (80.482)
Epoch: [63][6510/14090]	Time 0.733 (0.765)	Data 0.001 (0.002)	Loss 1.8849 (1.8994)	Prec@1 55.469 (50.681)	Prec@5 78.906 (80.481)
Epoch: [63][6520/14090]	Time 0.827 (0.765)	Data 0.001 (0.002)	Loss 1.9877 (1.8994)	Prec@1 50.781 (50.684)	Prec@5 79.688 (80.482)
Epoch: [63][6530/14090]	Time 0.733 (0.765)	Data 0.001 (0.002)	Loss 1.9986 (1.8995)	Prec@1 53.125 (50.684)	Prec@5 80.469 (80.480)
Epoch: [63][6540/14090]	Time 0.749 (0.765)	Data 0.001 (0.002)	Loss 2.0583 (1.8994)	Prec@1 49.219 (50.685)	Prec@5 78.906 (80.483)
Epoch: [63][6550/14090]	Time 0.786 (0.765)	Data 0.001 (0.002)	Loss 1.6133 (1.8994)	Prec@1 58.594 (50.685)	Prec@5 83.594 (80.484)
Epoch: [63][6560/14090]	Time 0.728 (0.765)	Data 0.001 (0.002)	Loss 1.7524 (1.8995)	Prec@1 55.469 (50.684)	Prec@5 83.594 (80.482)
Epoch: [63][6570/14090]	Time 0.738 (0.765)	Data 0.001 (0.002)	Loss 2.0250 (1.8994)	Prec@1 42.969 (50.685)	Prec@5 77.344 (80.483)
Epoch: [63][6580/14090]	Time 0.750 (0.765)	Data 0.001 (0.002)	Loss 1.8538 (1.8994)	Prec@1 51.562 (50.685)	Prec@5 81.250 (80.483)
Epoch: [63][6590/14090]	Time 0.974 (0.765)	Data 0.001 (0.002)	Loss 1.7232 (1.8993)	Prec@1 54.688 (50.685)	Prec@5 82.031 (80.484)
Epoch: [63][6600/14090]	Time 0.763 (0.765)	Data 0.001 (0.002)	Loss 1.9874 (1.8993)	Prec@1 46.875 (50.682)	Prec@5 80.469 (80.484)
Epoch: [63][6610/14090]	Time 0.747 (0.765)	Data 0.001 (0.002)	Loss 2.0036 (1.8994)	Prec@1 49.219 (50.678)	Prec@5 79.688 (80.484)
Epoch: [63][6620/14090]	Time 0.728 (0.765)	Data 0.001 (0.002)	Loss 1.9379 (1.8993)	Prec@1 48.438 (50.680)	Prec@5 78.906 (80.485)
Epoch: [63][6630/14090]	Time 0.725 (0.765)	Data 0.001 (0.002)	Loss 1.7009 (1.8994)	Prec@1 56.250 (50.680)	Prec@5 86.719 (80.485)
Epoch: [63][6640/14090]	Time 0.730 (0.765)	Data 0.001 (0.002)	Loss 1.7359 (1.8993)	Prec@1 49.219 (50.682)	Prec@5 83.594 (80.485)
Epoch: [63][6650/14090]	Time 0.739 (0.765)	Data 0.001 (0.002)	Loss 1.8687 (1.8994)	Prec@1 50.781 (50.681)	Prec@5 82.031 (80.484)
Epoch: [63][6660/14090]	Time 0.829 (0.765)	Data 0.001 (0.002)	Loss 2.1246 (1.8995)	Prec@1 44.531 (50.680)	Prec@5 76.562 (80.483)
Epoch: [63][6670/14090]	Time 0.752 (0.765)	Data 0.001 (0.002)	Loss 1.7796 (1.8995)	Prec@1 52.344 (50.678)	Prec@5 83.594 (80.481)
Epoch: [63][6680/14090]	Time 0.759 (0.765)	Data 0.001 (0.002)	Loss 1.9543 (1.8996)	Prec@1 51.562 (50.677)	Prec@5 80.469 (80.481)
Epoch: [63][6690/14090]	Time 0.735 (0.765)	Data 0.001 (0.002)	Loss 2.0279 (1.8996)	Prec@1 46.094 (50.679)	Prec@5 78.906 (80.481)
Epoch: [63][6700/14090]	Time 0.746 (0.765)	Data 0.001 (0.002)	Loss 2.1216 (1.8996)	Prec@1 48.438 (50.678)	Prec@5 77.344 (80.481)
Epoch: [63][6710/14090]	Time 0.754 (0.765)	Data 0.001 (0.002)	Loss 1.7019 (1.8996)	Prec@1 53.906 (50.677)	Prec@5 85.938 (80.481)
Epoch: [63][6720/14090]	Time 0.786 (0.765)	Data 0.001 (0.002)	Loss 1.8978 (1.8995)	Prec@1 50.781 (50.680)	Prec@5 77.344 (80.483)
Epoch: [63][6730/14090]	Time 0.821 (0.765)	Data 0.001 (0.002)	Loss 1.8253 (1.8995)	Prec@1 56.250 (50.680)	Prec@5 78.906 (80.480)
Epoch: [63][6740/14090]	Time 0.746 (0.765)	Data 0.001 (0.002)	Loss 2.1140 (1.8995)	Prec@1 44.531 (50.683)	Prec@5 79.688 (80.481)
Epoch: [63][6750/14090]	Time 0.732 (0.765)	Data 0.001 (0.002)	Loss 1.9387 (1.8994)	Prec@1 52.344 (50.685)	Prec@5 80.469 (80.483)
Epoch: [63][6760/14090]	Time 0.739 (0.765)	Data 0.001 (0.002)	Loss 2.0384 (1.8995)	Prec@1 45.312 (50.682)	Prec@5 76.562 (80.483)
Epoch: [63][6770/14090]	Time 0.754 (0.765)	Data 0.001 (0.002)	Loss 1.8470 (1.8994)	Prec@1 51.562 (50.684)	Prec@5 84.375 (80.484)
Epoch: [63][6780/14090]	Time 0.726 (0.765)	Data 0.001 (0.002)	Loss 2.0682 (1.8995)	Prec@1 44.531 (50.683)	Prec@5 74.219 (80.481)
Epoch: [63][6790/14090]	Time 0.752 (0.765)	Data 0.001 (0.002)	Loss 2.0094 (1.8994)	Prec@1 50.781 (50.684)	Prec@5 76.562 (80.481)
Epoch: [63][6800/14090]	Time 0.823 (0.765)	Data 0.001 (0.002)	Loss 1.9284 (1.8993)	Prec@1 53.906 (50.685)	Prec@5 82.812 (80.482)
Epoch: [63][6810/14090]	Time 0.735 (0.765)	Data 0.001 (0.002)	Loss 2.0475 (1.8993)	Prec@1 53.125 (50.687)	Prec@5 75.781 (80.483)
Epoch: [63][6820/14090]	Time 0.746 (0.765)	Data 0.001 (0.002)	Loss 1.6773 (1.8993)	Prec@1 54.688 (50.687)	Prec@5 83.594 (80.484)
Epoch: [63][6830/14090]	Time 0.737 (0.765)	Data 0.001 (0.002)	Loss 1.7593 (1.8992)	Prec@1 57.031 (50.689)	Prec@5 82.031 (80.486)
Epoch: [63][6840/14090]	Time 0.756 (0.765)	Data 0.001 (0.002)	Loss 1.7096 (1.8992)	Prec@1 57.812 (50.688)	Prec@5 82.812 (80.486)
Epoch: [63][6850/14090]	Time 0.747 (0.765)	Data 0.001 (0.002)	Loss 1.7247 (1.8991)	Prec@1 57.031 (50.690)	Prec@5 80.469 (80.486)
Epoch: [63][6860/14090]	Time 0.738 (0.765)	Data 0.001 (0.002)	Loss 1.9137 (1.8990)	Prec@1 50.781 (50.691)	Prec@5 82.812 (80.487)
Epoch: [63][6870/14090]	Time 0.930 (0.765)	Data 0.001 (0.002)	Loss 1.7606 (1.8989)	Prec@1 56.250 (50.693)	Prec@5 84.375 (80.489)
Epoch: [63][6880/14090]	Time 0.739 (0.765)	Data 0.001 (0.002)	Loss 1.8157 (1.8989)	Prec@1 52.344 (50.696)	Prec@5 83.594 (80.489)
Epoch: [63][6890/14090]	Time 0.754 (0.765)	Data 0.001 (0.002)	Loss 2.0144 (1.8988)	Prec@1 46.875 (50.696)	Prec@5 79.688 (80.489)
Epoch: [63][6900/14090]	Time 0.756 (0.765)	Data 0.001 (0.002)	Loss 2.0150 (1.8988)	Prec@1 45.312 (50.694)	Prec@5 75.000 (80.489)
Epoch: [63][6910/14090]	Time 0.752 (0.765)	Data 0.001 (0.002)	Loss 1.9257 (1.8988)	Prec@1 53.125 (50.695)	Prec@5 79.688 (80.488)
Epoch: [63][6920/14090]	Time 0.747 (0.765)	Data 0.001 (0.002)	Loss 2.2378 (1.8989)	Prec@1 43.750 (50.693)	Prec@5 71.094 (80.485)
Epoch: [63][6930/14090]	Time 0.734 (0.765)	Data 0.001 (0.002)	Loss 1.7759 (1.8989)	Prec@1 52.344 (50.692)	Prec@5 81.250 (80.484)
Epoch: [63][6940/14090]	Time 0.836 (0.765)	Data 0.001 (0.002)	Loss 1.8538 (1.8988)	Prec@1 52.344 (50.692)	Prec@5 81.250 (80.484)
Epoch: [63][6950/14090]	Time 0.750 (0.765)	Data 0.001 (0.002)	Loss 1.8064 (1.8990)	Prec@1 51.562 (50.689)	Prec@5 82.031 (80.480)
Epoch: [63][6960/14090]	Time 0.726 (0.765)	Data 0.001 (0.002)	Loss 1.8797 (1.8991)	Prec@1 49.219 (50.686)	Prec@5 82.812 (80.479)
Epoch: [63][6970/14090]	Time 0.752 (0.765)	Data 0.001 (0.002)	Loss 1.8223 (1.8990)	Prec@1 48.438 (50.688)	Prec@5 85.156 (80.481)
Epoch: [63][6980/14090]	Time 0.760 (0.765)	Data 0.001 (0.002)	Loss 2.1977 (1.8991)	Prec@1 39.062 (50.685)	Prec@5 74.219 (80.481)
Epoch: [63][6990/14090]	Time 0.756 (0.765)	Data 0.001 (0.002)	Loss 2.0691 (1.8990)	Prec@1 47.656 (50.687)	Prec@5 73.438 (80.482)
Epoch: [63][7000/14090]	Time 0.727 (0.765)	Data 0.001 (0.002)	Loss 1.8452 (1.8991)	Prec@1 50.000 (50.687)	Prec@5 79.688 (80.480)
Epoch: [63][7010/14090]	Time 0.882 (0.765)	Data 0.001 (0.002)	Loss 1.8453 (1.8990)	Prec@1 47.656 (50.687)	Prec@5 82.031 (80.479)
Epoch: [63][7020/14090]	Time 0.757 (0.765)	Data 0.001 (0.002)	Loss 2.1332 (1.8991)	Prec@1 50.781 (50.687)	Prec@5 81.250 (80.478)
Epoch: [63][7030/14090]	Time 0.739 (0.765)	Data 0.001 (0.002)	Loss 1.8508 (1.8990)	Prec@1 57.031 (50.689)	Prec@5 82.031 (80.480)
Epoch: [63][7040/14090]	Time 0.774 (0.765)	Data 0.001 (0.002)	Loss 2.0020 (1.8991)	Prec@1 46.875 (50.691)	Prec@5 76.562 (80.477)
Epoch: [63][7050/14090]	Time 0.723 (0.765)	Data 0.001 (0.002)	Loss 2.4360 (1.8991)	Prec@1 38.281 (50.691)	Prec@5 66.406 (80.477)
Epoch: [63][7060/14090]	Time 0.725 (0.765)	Data 0.001 (0.002)	Loss 2.1058 (1.8992)	Prec@1 45.312 (50.690)	Prec@5 78.906 (80.474)
Epoch: [63][7070/14090]	Time 0.777 (0.765)	Data 0.001 (0.002)	Loss 2.1056 (1.8992)	Prec@1 46.094 (50.689)	Prec@5 78.906 (80.475)
Epoch: [63][7080/14090]	Time 0.843 (0.765)	Data 0.001 (0.002)	Loss 1.8465 (1.8991)	Prec@1 48.438 (50.688)	Prec@5 83.594 (80.477)
Epoch: [63][7090/14090]	Time 0.730 (0.765)	Data 0.001 (0.002)	Loss 2.2028 (1.8991)	Prec@1 44.531 (50.688)	Prec@5 77.344 (80.477)
Epoch: [63][7100/14090]	Time 0.755 (0.765)	Data 0.001 (0.002)	Loss 1.9778 (1.8990)	Prec@1 50.000 (50.691)	Prec@5 78.906 (80.479)
Epoch: [63][7110/14090]	Time 0.781 (0.765)	Data 0.001 (0.002)	Loss 1.9624 (1.8991)	Prec@1 47.656 (50.689)	Prec@5 83.594 (80.478)
Epoch: [63][7120/14090]	Time 0.726 (0.765)	Data 0.001 (0.002)	Loss 1.7759 (1.8990)	Prec@1 53.906 (50.690)	Prec@5 81.250 (80.479)
Epoch: [63][7130/14090]	Time 0.762 (0.765)	Data 0.001 (0.002)	Loss 1.8920 (1.8991)	Prec@1 53.906 (50.690)	Prec@5 82.031 (80.477)
Epoch: [63][7140/14090]	Time 0.781 (0.765)	Data 0.001 (0.002)	Loss 1.7672 (1.8990)	Prec@1 55.469 (50.691)	Prec@5 82.031 (80.478)
Epoch: [63][7150/14090]	Time 0.837 (0.765)	Data 0.001 (0.002)	Loss 2.1180 (1.8991)	Prec@1 46.875 (50.688)	Prec@5 78.906 (80.477)
Epoch: [63][7160/14090]	Time 0.733 (0.765)	Data 0.001 (0.002)	Loss 1.9696 (1.8992)	Prec@1 52.344 (50.686)	Prec@5 76.562 (80.476)
Epoch: [63][7170/14090]	Time 0.731 (0.765)	Data 0.001 (0.002)	Loss 1.5128 (1.8992)	Prec@1 62.500 (50.686)	Prec@5 85.938 (80.475)
Epoch: [63][7180/14090]	Time 0.760 (0.765)	Data 0.001 (0.002)	Loss 1.7294 (1.8992)	Prec@1 53.125 (50.685)	Prec@5 82.812 (80.476)
Epoch: [63][7190/14090]	Time 0.726 (0.765)	Data 0.001 (0.002)	Loss 1.9478 (1.8992)	Prec@1 45.312 (50.683)	Prec@5 76.562 (80.476)
Epoch: [63][7200/14090]	Time 0.738 (0.765)	Data 0.001 (0.002)	Loss 1.9331 (1.8991)	Prec@1 51.562 (50.682)	Prec@5 80.469 (80.477)
Epoch: [63][7210/14090]	Time 0.735 (0.765)	Data 0.001 (0.002)	Loss 1.7727 (1.8992)	Prec@1 51.562 (50.679)	Prec@5 85.156 (80.475)
Epoch: [63][7220/14090]	Time 0.859 (0.765)	Data 0.001 (0.002)	Loss 2.0705 (1.8993)	Prec@1 46.875 (50.676)	Prec@5 78.906 (80.474)
Epoch: [63][7230/14090]	Time 0.752 (0.765)	Data 0.001 (0.002)	Loss 1.8800 (1.8993)	Prec@1 46.875 (50.673)	Prec@5 79.688 (80.476)
Epoch: [63][7240/14090]	Time 0.761 (0.765)	Data 0.001 (0.002)	Loss 2.0361 (1.8993)	Prec@1 46.875 (50.674)	Prec@5 78.125 (80.476)
Epoch: [63][7250/14090]	Time 0.756 (0.765)	Data 0.001 (0.002)	Loss 1.7869 (1.8993)	Prec@1 53.125 (50.673)	Prec@5 82.812 (80.476)
Epoch: [63][7260/14090]	Time 0.754 (0.765)	Data 0.001 (0.002)	Loss 1.7153 (1.8992)	Prec@1 57.031 (50.676)	Prec@5 81.250 (80.477)
Epoch: [63][7270/14090]	Time 0.745 (0.765)	Data 0.001 (0.002)	Loss 1.8741 (1.8992)	Prec@1 56.250 (50.675)	Prec@5 82.812 (80.477)
Epoch: [63][7280/14090]	Time 0.733 (0.765)	Data 0.001 (0.002)	Loss 1.9067 (1.8992)	Prec@1 52.344 (50.675)	Prec@5 81.250 (80.477)
Epoch: [63][7290/14090]	Time 0.829 (0.765)	Data 0.001 (0.002)	Loss 1.8799 (1.8994)	Prec@1 46.875 (50.671)	Prec@5 84.375 (80.475)
Epoch: [63][7300/14090]	Time 0.763 (0.765)	Data 0.001 (0.002)	Loss 1.8271 (1.8993)	Prec@1 51.562 (50.673)	Prec@5 82.812 (80.476)
Epoch: [63][7310/14090]	Time 0.728 (0.765)	Data 0.001 (0.002)	Loss 2.0096 (1.8993)	Prec@1 41.406 (50.671)	Prec@5 79.688 (80.477)
Epoch: [63][7320/14090]	Time 0.770 (0.765)	Data 0.001 (0.002)	Loss 2.0659 (1.8993)	Prec@1 44.531 (50.671)	Prec@5 79.688 (80.479)
Epoch: [63][7330/14090]	Time 0.736 (0.765)	Data 0.001 (0.002)	Loss 1.6694 (1.8992)	Prec@1 56.250 (50.670)	Prec@5 85.938 (80.483)
Epoch: [63][7340/14090]	Time 0.757 (0.765)	Data 0.001 (0.002)	Loss 1.9458 (1.8993)	Prec@1 49.219 (50.670)	Prec@5 85.156 (80.482)
Epoch: [63][7350/14090]	Time 0.740 (0.765)	Data 0.001 (0.002)	Loss 1.8191 (1.8993)	Prec@1 48.438 (50.668)	Prec@5 81.250 (80.482)
Epoch: [63][7360/14090]	Time 0.856 (0.765)	Data 0.003 (0.002)	Loss 1.7445 (1.8993)	Prec@1 54.688 (50.669)	Prec@5 82.812 (80.483)
Epoch: [63][7370/14090]	Time 0.743 (0.765)	Data 0.001 (0.002)	Loss 1.7326 (1.8992)	Prec@1 55.469 (50.670)	Prec@5 85.938 (80.485)
Epoch: [63][7380/14090]	Time 0.768 (0.765)	Data 0.001 (0.002)	Loss 1.9328 (1.8993)	Prec@1 52.344 (50.668)	Prec@5 80.469 (80.483)
Epoch: [63][7390/14090]	Time 0.725 (0.765)	Data 0.001 (0.002)	Loss 1.7773 (1.8993)	Prec@1 53.125 (50.671)	Prec@5 85.156 (80.486)
Epoch: [63][7400/14090]	Time 0.729 (0.765)	Data 0.001 (0.002)	Loss 1.8617 (1.8992)	Prec@1 51.562 (50.673)	Prec@5 78.125 (80.486)
Epoch: [63][7410/14090]	Time 0.744 (0.765)	Data 0.001 (0.002)	Loss 1.6475 (1.8991)	Prec@1 55.469 (50.673)	Prec@5 84.375 (80.490)
Epoch: [63][7420/14090]	Time 0.739 (0.765)	Data 0.001 (0.002)	Loss 1.8161 (1.8991)	Prec@1 57.031 (50.674)	Prec@5 80.469 (80.490)
Epoch: [63][7430/14090]	Time 0.869 (0.765)	Data 0.001 (0.002)	Loss 1.8131 (1.8992)	Prec@1 50.000 (50.675)	Prec@5 82.812 (80.488)
Epoch: [63][7440/14090]	Time 0.751 (0.765)	Data 0.001 (0.002)	Loss 2.1251 (1.8992)	Prec@1 46.094 (50.677)	Prec@5 75.781 (80.487)
Epoch: [63][7450/14090]	Time 0.746 (0.765)	Data 0.001 (0.002)	Loss 1.7246 (1.8992)	Prec@1 53.906 (50.677)	Prec@5 82.812 (80.489)
Epoch: [63][7460/14090]	Time 0.750 (0.765)	Data 0.001 (0.002)	Loss 1.9805 (1.8991)	Prec@1 50.781 (50.677)	Prec@5 80.469 (80.490)
Epoch: [63][7470/14090]	Time 0.765 (0.765)	Data 0.001 (0.002)	Loss 1.7831 (1.8992)	Prec@1 50.781 (50.676)	Prec@5 82.812 (80.488)
Epoch: [63][7480/14090]	Time 0.756 (0.765)	Data 0.001 (0.002)	Loss 1.7137 (1.8991)	Prec@1 53.906 (50.677)	Prec@5 82.812 (80.489)
Epoch: [63][7490/14090]	Time 0.730 (0.765)	Data 0.001 (0.002)	Loss 1.9242 (1.8991)	Prec@1 52.344 (50.678)	Prec@5 81.250 (80.489)
Epoch: [63][7500/14090]	Time 0.863 (0.765)	Data 0.001 (0.002)	Loss 1.8244 (1.8991)	Prec@1 50.781 (50.678)	Prec@5 77.344 (80.489)
Epoch: [63][7510/14090]	Time 0.761 (0.765)	Data 0.001 (0.002)	Loss 1.6529 (1.8991)	Prec@1 56.250 (50.678)	Prec@5 85.156 (80.490)
Epoch: [63][7520/14090]	Time 0.737 (0.765)	Data 0.001 (0.002)	Loss 1.8233 (1.8990)	Prec@1 54.688 (50.682)	Prec@5 82.812 (80.492)
Epoch: [63][7530/14090]	Time 0.735 (0.765)	Data 0.001 (0.002)	Loss 1.7960 (1.8990)	Prec@1 50.781 (50.682)	Prec@5 83.594 (80.492)
Epoch: [63][7540/14090]	Time 0.758 (0.765)	Data 0.001 (0.002)	Loss 1.7018 (1.8990)	Prec@1 54.688 (50.681)	Prec@5 85.938 (80.492)
Epoch: [63][7550/14090]	Time 0.754 (0.765)	Data 0.001 (0.002)	Loss 1.8442 (1.8991)	Prec@1 53.125 (50.681)	Prec@5 81.250 (80.493)
Epoch: [63][7560/14090]	Time 0.747 (0.765)	Data 0.001 (0.002)	Loss 2.0072 (1.8990)	Prec@1 48.438 (50.682)	Prec@5 82.031 (80.494)
Epoch: [63][7570/14090]	Time 0.865 (0.765)	Data 0.001 (0.002)	Loss 2.0839 (1.8990)	Prec@1 46.094 (50.682)	Prec@5 77.344 (80.495)
Epoch: [63][7580/14090]	Time 0.761 (0.765)	Data 0.001 (0.002)	Loss 1.8647 (1.8990)	Prec@1 52.344 (50.681)	Prec@5 83.594 (80.494)
Epoch: [63][7590/14090]	Time 0.747 (0.765)	Data 0.001 (0.002)	Loss 2.0589 (1.8989)	Prec@1 46.094 (50.682)	Prec@5 78.906 (80.496)
Epoch: [63][7600/14090]	Time 0.750 (0.765)	Data 0.001 (0.002)	Loss 2.0892 (1.8990)	Prec@1 47.656 (50.681)	Prec@5 71.875 (80.494)
Epoch: [63][7610/14090]	Time 0.773 (0.765)	Data 0.001 (0.002)	Loss 2.0458 (1.8991)	Prec@1 46.094 (50.681)	Prec@5 76.562 (80.495)
Epoch: [63][7620/14090]	Time 0.728 (0.765)	Data 0.001 (0.002)	Loss 1.6766 (1.8989)	Prec@1 52.344 (50.684)	Prec@5 84.375 (80.497)
Epoch: [63][7630/14090]	Time 0.729 (0.765)	Data 0.001 (0.002)	Loss 2.0349 (1.8991)	Prec@1 43.750 (50.683)	Prec@5 79.688 (80.495)
Epoch: [63][7640/14090]	Time 0.834 (0.765)	Data 0.001 (0.002)	Loss 1.9335 (1.8992)	Prec@1 53.125 (50.681)	Prec@5 80.469 (80.492)
Epoch: [63][7650/14090]	Time 0.735 (0.765)	Data 0.001 (0.002)	Loss 1.4851 (1.8991)	Prec@1 62.500 (50.680)	Prec@5 86.719 (80.493)
Epoch: [63][7660/14090]	Time 0.745 (0.765)	Data 0.001 (0.002)	Loss 1.7909 (1.8991)	Prec@1 55.469 (50.679)	Prec@5 80.469 (80.493)
Epoch: [63][7670/14090]	Time 0.763 (0.765)	Data 0.001 (0.002)	Loss 2.1011 (1.8991)	Prec@1 47.656 (50.677)	Prec@5 79.688 (80.494)
Epoch: [63][7680/14090]	Time 0.754 (0.765)	Data 0.001 (0.002)	Loss 1.6822 (1.8990)	Prec@1 57.031 (50.680)	Prec@5 84.375 (80.495)
Epoch: [63][7690/14090]	Time 0.761 (0.765)	Data 0.001 (0.002)	Loss 1.9999 (1.8991)	Prec@1 51.562 (50.680)	Prec@5 77.344 (80.494)
Epoch: [63][7700/14090]	Time 0.731 (0.765)	Data 0.001 (0.002)	Loss 1.6749 (1.8991)	Prec@1 55.469 (50.679)	Prec@5 84.375 (80.494)
Epoch: [63][7710/14090]	Time 0.904 (0.765)	Data 0.001 (0.002)	Loss 1.9510 (1.8991)	Prec@1 53.125 (50.678)	Prec@5 75.781 (80.492)
Epoch: [63][7720/14090]	Time 0.738 (0.765)	Data 0.001 (0.002)	Loss 1.7109 (1.8991)	Prec@1 52.344 (50.679)	Prec@5 82.031 (80.493)
Epoch: [63][7730/14090]	Time 0.753 (0.765)	Data 0.001 (0.002)	Loss 1.9679 (1.8991)	Prec@1 54.688 (50.680)	Prec@5 75.781 (80.491)
Epoch: [63][7740/14090]	Time 0.738 (0.765)	Data 0.001 (0.002)	Loss 1.9631 (1.8991)	Prec@1 51.562 (50.681)	Prec@5 78.125 (80.492)
Epoch: [63][7750/14090]	Time 0.752 (0.765)	Data 0.001 (0.002)	Loss 2.4404 (1.8992)	Prec@1 34.375 (50.678)	Prec@5 71.094 (80.491)
Epoch: [63][7760/14090]	Time 0.725 (0.765)	Data 0.001 (0.002)	Loss 1.9230 (1.8992)	Prec@1 53.906 (50.679)	Prec@5 80.469 (80.493)
Epoch: [63][7770/14090]	Time 0.771 (0.765)	Data 0.001 (0.002)	Loss 1.9809 (1.8991)	Prec@1 44.531 (50.680)	Prec@5 80.469 (80.494)
Epoch: [63][7780/14090]	Time 0.860 (0.765)	Data 0.001 (0.002)	Loss 1.8751 (1.8990)	Prec@1 54.688 (50.684)	Prec@5 82.031 (80.496)
Epoch: [63][7790/14090]	Time 0.736 (0.765)	Data 0.001 (0.002)	Loss 1.9264 (1.8991)	Prec@1 48.438 (50.683)	Prec@5 77.344 (80.495)
Epoch: [63][7800/14090]	Time 0.746 (0.765)	Data 0.001 (0.002)	Loss 1.9999 (1.8991)	Prec@1 46.094 (50.681)	Prec@5 82.031 (80.495)
Epoch: [63][7810/14090]	Time 0.732 (0.765)	Data 0.001 (0.002)	Loss 2.0816 (1.8993)	Prec@1 41.406 (50.679)	Prec@5 80.469 (80.493)
Epoch: [63][7820/14090]	Time 0.735 (0.765)	Data 0.001 (0.002)	Loss 1.9665 (1.8993)	Prec@1 51.562 (50.679)	Prec@5 79.688 (80.491)
Epoch: [63][7830/14090]	Time 0.759 (0.765)	Data 0.001 (0.002)	Loss 2.0655 (1.8994)	Prec@1 44.531 (50.678)	Prec@5 76.562 (80.490)
Epoch: [63][7840/14090]	Time 0.749 (0.765)	Data 0.001 (0.002)	Loss 2.0390 (1.8994)	Prec@1 51.562 (50.677)	Prec@5 78.906 (80.492)
Epoch: [63][7850/14090]	Time 0.871 (0.765)	Data 0.001 (0.002)	Loss 2.0214 (1.8993)	Prec@1 47.656 (50.676)	Prec@5 77.344 (80.493)
Epoch: [63][7860/14090]	Time 0.727 (0.765)	Data 0.001 (0.002)	Loss 1.5502 (1.8993)	Prec@1 50.781 (50.678)	Prec@5 86.719 (80.494)
Epoch: [63][7870/14090]	Time 0.752 (0.765)	Data 0.001 (0.002)	Loss 1.8330 (1.8993)	Prec@1 50.000 (50.676)	Prec@5 85.938 (80.493)
Epoch: [63][7880/14090]	Time 0.744 (0.765)	Data 0.001 (0.002)	Loss 1.8607 (1.8993)	Prec@1 54.688 (50.679)	Prec@5 77.344 (80.493)
Epoch: [63][7890/14090]	Time 0.765 (0.765)	Data 0.001 (0.002)	Loss 1.9592 (1.8993)	Prec@1 51.562 (50.678)	Prec@5 78.906 (80.492)
Epoch: [63][7900/14090]	Time 0.722 (0.765)	Data 0.001 (0.002)	Loss 1.8509 (1.8993)	Prec@1 50.000 (50.679)	Prec@5 79.688 (80.491)
Epoch: [63][7910/14090]	Time 0.781 (0.765)	Data 0.001 (0.002)	Loss 1.6990 (1.8993)	Prec@1 53.125 (50.678)	Prec@5 82.812 (80.491)
Epoch: [63][7920/14090]	Time 0.841 (0.765)	Data 0.001 (0.002)	Loss 2.0109 (1.8994)	Prec@1 50.781 (50.679)	Prec@5 77.344 (80.489)
Epoch: [63][7930/14090]	Time 0.747 (0.765)	Data 0.001 (0.002)	Loss 1.8104 (1.8993)	Prec@1 50.000 (50.678)	Prec@5 82.812 (80.490)
Epoch: [63][7940/14090]	Time 0.733 (0.765)	Data 0.001 (0.002)	Loss 1.8082 (1.8993)	Prec@1 50.000 (50.677)	Prec@5 82.031 (80.491)
Epoch: [63][7950/14090]	Time 0.732 (0.765)	Data 0.001 (0.002)	Loss 2.2027 (1.8993)	Prec@1 46.875 (50.677)	Prec@5 72.656 (80.489)
Epoch: [63][7960/14090]	Time 0.746 (0.765)	Data 0.001 (0.002)	Loss 2.1646 (1.8994)	Prec@1 46.875 (50.674)	Prec@5 74.219 (80.488)
Epoch: [63][7970/14090]	Time 0.758 (0.765)	Data 0.001 (0.002)	Loss 1.8774 (1.8994)	Prec@1 50.000 (50.673)	Prec@5 78.125 (80.486)
Epoch: [63][7980/14090]	Time 0.733 (0.765)	Data 0.001 (0.002)	Loss 1.7313 (1.8994)	Prec@1 50.000 (50.672)	Prec@5 82.031 (80.487)
Epoch: [63][7990/14090]	Time 0.868 (0.765)	Data 0.001 (0.002)	Loss 1.9103 (1.8992)	Prec@1 51.562 (50.675)	Prec@5 81.250 (80.491)
Epoch: [63][8000/14090]	Time 0.751 (0.765)	Data 0.001 (0.002)	Loss 1.7821 (1.8993)	Prec@1 47.656 (50.674)	Prec@5 85.156 (80.489)
Epoch: [63][8010/14090]	Time 0.737 (0.764)	Data 0.001 (0.002)	Loss 1.8823 (1.8992)	Prec@1 50.000 (50.677)	Prec@5 82.812 (80.491)
Epoch: [63][8020/14090]	Time 0.742 (0.765)	Data 0.001 (0.002)	Loss 1.9587 (1.8992)	Prec@1 55.469 (50.677)	Prec@5 76.562 (80.492)
Epoch: [63][8030/14090]	Time 0.761 (0.764)	Data 0.001 (0.002)	Loss 1.4911 (1.8991)	Prec@1 62.500 (50.679)	Prec@5 88.281 (80.494)
Epoch: [63][8040/14090]	Time 0.737 (0.764)	Data 0.001 (0.002)	Loss 1.9253 (1.8992)	Prec@1 48.438 (50.678)	Prec@5 78.906 (80.493)
Epoch: [63][8050/14090]	Time 0.727 (0.764)	Data 0.001 (0.002)	Loss 1.5995 (1.8992)	Prec@1 61.719 (50.679)	Prec@5 81.250 (80.491)
Epoch: [63][8060/14090]	Time 0.835 (0.764)	Data 0.001 (0.002)	Loss 1.7451 (1.8992)	Prec@1 50.000 (50.678)	Prec@5 82.031 (80.491)
Epoch: [63][8070/14090]	Time 0.732 (0.764)	Data 0.001 (0.002)	Loss 1.7984 (1.8992)	Prec@1 55.469 (50.678)	Prec@5 78.906 (80.489)
Epoch: [63][8080/14090]	Time 0.737 (0.764)	Data 0.001 (0.002)	Loss 1.9353 (1.8993)	Prec@1 52.344 (50.677)	Prec@5 76.562 (80.487)
Epoch: [63][8090/14090]	Time 0.764 (0.764)	Data 0.001 (0.002)	Loss 1.7654 (1.8992)	Prec@1 52.344 (50.678)	Prec@5 83.594 (80.489)
Epoch: [63][8100/14090]	Time 0.740 (0.764)	Data 0.001 (0.002)	Loss 1.9585 (1.8992)	Prec@1 51.562 (50.678)	Prec@5 78.906 (80.487)
Epoch: [63][8110/14090]	Time 0.759 (0.764)	Data 0.001 (0.002)	Loss 1.8201 (1.8993)	Prec@1 46.875 (50.676)	Prec@5 80.469 (80.485)
Epoch: [63][8120/14090]	Time 0.749 (0.764)	Data 0.001 (0.002)	Loss 2.0058 (1.8992)	Prec@1 53.125 (50.679)	Prec@5 77.344 (80.486)
Epoch: [63][8130/14090]	Time 0.848 (0.764)	Data 0.001 (0.002)	Loss 2.2011 (1.8993)	Prec@1 42.969 (50.678)	Prec@5 78.906 (80.485)
Epoch: [63][8140/14090]	Time 0.728 (0.764)	Data 0.001 (0.002)	Loss 1.8346 (1.8993)	Prec@1 50.781 (50.680)	Prec@5 79.688 (80.486)
Epoch: [63][8150/14090]	Time 0.745 (0.764)	Data 0.001 (0.002)	Loss 1.9788 (1.8993)	Prec@1 49.219 (50.683)	Prec@5 78.125 (80.486)
Epoch: [63][8160/14090]	Time 0.738 (0.764)	Data 0.001 (0.002)	Loss 2.0164 (1.8992)	Prec@1 51.562 (50.687)	Prec@5 78.906 (80.487)
Epoch: [63][8170/14090]	Time 0.739 (0.764)	Data 0.001 (0.002)	Loss 1.8661 (1.8991)	Prec@1 51.562 (50.687)	Prec@5 82.031 (80.488)
Epoch: [63][8180/14090]	Time 0.742 (0.764)	Data 0.001 (0.002)	Loss 1.7532 (1.8991)	Prec@1 49.219 (50.688)	Prec@5 80.469 (80.487)
Epoch: [63][8190/14090]	Time 0.744 (0.764)	Data 0.001 (0.002)	Loss 1.8639 (1.8992)	Prec@1 46.875 (50.683)	Prec@5 83.594 (80.487)
Epoch: [63][8200/14090]	Time 0.836 (0.764)	Data 0.001 (0.002)	Loss 2.0004 (1.8993)	Prec@1 44.531 (50.683)	Prec@5 78.906 (80.485)
Epoch: [63][8210/14090]	Time 0.728 (0.764)	Data 0.001 (0.002)	Loss 1.8797 (1.8993)	Prec@1 50.000 (50.681)	Prec@5 78.125 (80.483)
Epoch: [63][8220/14090]	Time 0.726 (0.764)	Data 0.001 (0.002)	Loss 1.8352 (1.8993)	Prec@1 54.688 (50.681)	Prec@5 81.250 (80.483)
Epoch: [63][8230/14090]	Time 0.736 (0.764)	Data 0.001 (0.002)	Loss 1.9866 (1.8994)	Prec@1 44.531 (50.678)	Prec@5 82.031 (80.483)
Epoch: [63][8240/14090]	Time 0.769 (0.764)	Data 0.001 (0.002)	Loss 1.8765 (1.8994)	Prec@1 49.219 (50.678)	Prec@5 82.031 (80.483)
Epoch: [63][8250/14090]	Time 0.736 (0.764)	Data 0.001 (0.002)	Loss 2.0123 (1.8994)	Prec@1 50.781 (50.678)	Prec@5 82.812 (80.484)
Epoch: [63][8260/14090]	Time 0.726 (0.764)	Data 0.001 (0.002)	Loss 1.9461 (1.8995)	Prec@1 46.094 (50.675)	Prec@5 80.469 (80.483)
Epoch: [63][8270/14090]	Time 0.913 (0.764)	Data 0.001 (0.002)	Loss 1.7026 (1.8995)	Prec@1 57.031 (50.677)	Prec@5 85.156 (80.484)
Epoch: [63][8280/14090]	Time 0.740 (0.764)	Data 0.001 (0.002)	Loss 1.7004 (1.8994)	Prec@1 53.125 (50.678)	Prec@5 85.156 (80.485)
Epoch: [63][8290/14090]	Time 0.726 (0.764)	Data 0.001 (0.002)	Loss 1.8494 (1.8993)	Prec@1 53.125 (50.681)	Prec@5 82.031 (80.488)
Epoch: [63][8300/14090]	Time 0.743 (0.764)	Data 0.001 (0.002)	Loss 1.8959 (1.8993)	Prec@1 49.219 (50.681)	Prec@5 80.469 (80.489)
Epoch: [63][8310/14090]	Time 0.728 (0.764)	Data 0.001 (0.002)	Loss 1.7613 (1.8993)	Prec@1 52.344 (50.681)	Prec@5 82.031 (80.488)
Epoch: [63][8320/14090]	Time 0.735 (0.764)	Data 0.001 (0.002)	Loss 1.9340 (1.8993)	Prec@1 48.438 (50.681)	Prec@5 84.375 (80.490)
Epoch: [63][8330/14090]	Time 0.731 (0.764)	Data 0.001 (0.002)	Loss 1.8845 (1.8994)	Prec@1 57.031 (50.681)	Prec@5 76.562 (80.487)
Epoch: [63][8340/14090]	Time 0.837 (0.764)	Data 0.001 (0.002)	Loss 1.9764 (1.8994)	Prec@1 52.344 (50.682)	Prec@5 78.125 (80.487)
Epoch: [63][8350/14090]	Time 0.746 (0.764)	Data 0.001 (0.002)	Loss 2.0956 (1.8994)	Prec@1 45.312 (50.680)	Prec@5 79.688 (80.486)
Epoch: [63][8360/14090]	Time 0.738 (0.764)	Data 0.001 (0.002)	Loss 1.8713 (1.8995)	Prec@1 53.125 (50.678)	Prec@5 82.812 (80.484)
Epoch: [63][8370/14090]	Time 0.722 (0.764)	Data 0.001 (0.002)	Loss 1.7090 (1.8994)	Prec@1 57.812 (50.681)	Prec@5 83.594 (80.487)
Epoch: [63][8380/14090]	Time 0.761 (0.764)	Data 0.001 (0.002)	Loss 1.6776 (1.8994)	Prec@1 53.906 (50.683)	Prec@5 82.812 (80.487)
Epoch: [63][8390/14090]	Time 0.755 (0.764)	Data 0.001 (0.002)	Loss 1.7064 (1.8993)	Prec@1 55.469 (50.684)	Prec@5 83.594 (80.488)
Epoch: [63][8400/14090]	Time 0.735 (0.764)	Data 0.001 (0.002)	Loss 1.7526 (1.8993)	Prec@1 56.250 (50.684)	Prec@5 82.812 (80.488)
Epoch: [63][8410/14090]	Time 0.870 (0.764)	Data 0.001 (0.002)	Loss 1.7706 (1.8993)	Prec@1 59.375 (50.684)	Prec@5 83.594 (80.488)
Epoch: [63][8420/14090]	Time 0.742 (0.764)	Data 0.001 (0.002)	Loss 1.6131 (1.8993)	Prec@1 57.812 (50.684)	Prec@5 89.062 (80.489)
Epoch: [63][8430/14090]	Time 0.736 (0.764)	Data 0.001 (0.002)	Loss 1.8798 (1.8994)	Prec@1 53.125 (50.683)	Prec@5 80.469 (80.488)
Epoch: [63][8440/14090]	Time 0.732 (0.764)	Data 0.001 (0.002)	Loss 1.7619 (1.8992)	Prec@1 57.812 (50.686)	Prec@5 84.375 (80.492)
Epoch: [63][8450/14090]	Time 0.734 (0.764)	Data 0.001 (0.002)	Loss 1.7711 (1.8992)	Prec@1 53.125 (50.686)	Prec@5 84.375 (80.492)
Epoch: [63][8460/14090]	Time 0.752 (0.764)	Data 0.001 (0.002)	Loss 2.1286 (1.8992)	Prec@1 45.312 (50.685)	Prec@5 80.469 (80.493)
Epoch: [63][8470/14090]	Time 0.753 (0.764)	Data 0.001 (0.002)	Loss 1.7834 (1.8991)	Prec@1 53.906 (50.687)	Prec@5 82.812 (80.496)
Epoch: [63][8480/14090]	Time 0.841 (0.764)	Data 0.001 (0.002)	Loss 1.8224 (1.8991)	Prec@1 49.219 (50.686)	Prec@5 83.594 (80.494)
Epoch: [63][8490/14090]	Time 0.727 (0.764)	Data 0.001 (0.002)	Loss 1.7924 (1.8991)	Prec@1 51.562 (50.685)	Prec@5 82.031 (80.495)
Epoch: [63][8500/14090]	Time 0.722 (0.764)	Data 0.001 (0.002)	Loss 2.0265 (1.8991)	Prec@1 49.219 (50.684)	Prec@5 76.562 (80.494)
Epoch: [63][8510/14090]	Time 0.740 (0.764)	Data 0.001 (0.002)	Loss 2.0135 (1.8991)	Prec@1 44.531 (50.684)	Prec@5 82.812 (80.493)
Epoch: [63][8520/14090]	Time 0.761 (0.764)	Data 0.001 (0.002)	Loss 2.0402 (1.8992)	Prec@1 40.625 (50.683)	Prec@5 79.688 (80.492)
Epoch: [63][8530/14090]	Time 0.750 (0.764)	Data 0.001 (0.002)	Loss 1.7454 (1.8992)	Prec@1 50.781 (50.679)	Prec@5 81.250 (80.492)
Epoch: [63][8540/14090]	Time 0.780 (0.764)	Data 0.001 (0.002)	Loss 1.5565 (1.8992)	Prec@1 53.125 (50.679)	Prec@5 88.281 (80.492)
Epoch: [63][8550/14090]	Time 0.864 (0.764)	Data 0.001 (0.002)	Loss 2.0101 (1.8992)	Prec@1 51.562 (50.679)	Prec@5 79.688 (80.491)
Epoch: [63][8560/14090]	Time 0.735 (0.764)	Data 0.001 (0.002)	Loss 1.8636 (1.8992)	Prec@1 47.656 (50.679)	Prec@5 81.250 (80.491)
Epoch: [63][8570/14090]	Time 0.724 (0.764)	Data 0.001 (0.002)	Loss 1.8906 (1.8992)	Prec@1 54.688 (50.681)	Prec@5 76.562 (80.489)
Epoch: [63][8580/14090]	Time 0.730 (0.764)	Data 0.001 (0.002)	Loss 1.9448 (1.8991)	Prec@1 50.000 (50.684)	Prec@5 78.125 (80.491)
Epoch: [63][8590/14090]	Time 0.740 (0.764)	Data 0.001 (0.002)	Loss 1.9760 (1.8991)	Prec@1 47.656 (50.684)	Prec@5 80.469 (80.491)
Epoch: [63][8600/14090]	Time 0.762 (0.764)	Data 0.001 (0.002)	Loss 1.8854 (1.8991)	Prec@1 53.125 (50.685)	Prec@5 81.250 (80.492)
Epoch: [63][8610/14090]	Time 0.730 (0.764)	Data 0.001 (0.002)	Loss 1.9014 (1.8991)	Prec@1 50.781 (50.684)	Prec@5 82.031 (80.491)
Epoch: [63][8620/14090]	Time 0.879 (0.764)	Data 0.001 (0.002)	Loss 1.6768 (1.8991)	Prec@1 53.906 (50.683)	Prec@5 85.938 (80.491)
Epoch: [63][8630/14090]	Time 0.766 (0.764)	Data 0.001 (0.002)	Loss 1.9406 (1.8992)	Prec@1 54.688 (50.681)	Prec@5 81.250 (80.488)
Epoch: [63][8640/14090]	Time 0.739 (0.764)	Data 0.001 (0.002)	Loss 1.6758 (1.8992)	Prec@1 56.250 (50.682)	Prec@5 82.812 (80.488)
Epoch: [63][8650/14090]	Time 0.781 (0.764)	Data 0.001 (0.002)	Loss 2.1367 (1.8993)	Prec@1 46.094 (50.680)	Prec@5 76.562 (80.486)
Epoch: [63][8660/14090]	Time 0.730 (0.764)	Data 0.001 (0.002)	Loss 2.0139 (1.8993)	Prec@1 50.000 (50.678)	Prec@5 77.344 (80.485)
Epoch: [63][8670/14090]	Time 0.768 (0.764)	Data 0.001 (0.002)	Loss 2.0250 (1.8993)	Prec@1 49.219 (50.678)	Prec@5 80.469 (80.487)
Epoch: [63][8680/14090]	Time 0.731 (0.764)	Data 0.001 (0.002)	Loss 1.9886 (1.8993)	Prec@1 51.562 (50.680)	Prec@5 78.125 (80.486)
Epoch: [63][8690/14090]	Time 0.854 (0.764)	Data 0.001 (0.002)	Loss 2.1081 (1.8993)	Prec@1 42.188 (50.678)	Prec@5 75.781 (80.488)
Epoch: [63][8700/14090]	Time 0.749 (0.764)	Data 0.001 (0.002)	Loss 1.7652 (1.8994)	Prec@1 53.125 (50.675)	Prec@5 86.719 (80.487)
Epoch: [63][8710/14090]	Time 0.782 (0.764)	Data 0.002 (0.002)	Loss 1.8190 (1.8994)	Prec@1 53.125 (50.676)	Prec@5 78.125 (80.487)
Epoch: [63][8720/14090]	Time 0.766 (0.764)	Data 0.001 (0.002)	Loss 2.1535 (1.8994)	Prec@1 46.875 (50.676)	Prec@5 78.125 (80.488)
Epoch: [63][8730/14090]	Time 0.740 (0.764)	Data 0.001 (0.002)	Loss 1.9765 (1.8995)	Prec@1 48.438 (50.676)	Prec@5 75.781 (80.486)
Epoch: [63][8740/14090]	Time 0.755 (0.764)	Data 0.001 (0.002)	Loss 1.9596 (1.8994)	Prec@1 53.125 (50.680)	Prec@5 78.906 (80.488)
Epoch: [63][8750/14090]	Time 0.752 (0.764)	Data 0.001 (0.002)	Loss 1.8612 (1.8994)	Prec@1 53.125 (50.680)	Prec@5 80.469 (80.488)
Epoch: [63][8760/14090]	Time 0.884 (0.764)	Data 0.001 (0.002)	Loss 1.8283 (1.8994)	Prec@1 54.688 (50.681)	Prec@5 80.469 (80.485)
Epoch: [63][8770/14090]	Time 0.738 (0.764)	Data 0.001 (0.002)	Loss 1.8533 (1.8995)	Prec@1 52.344 (50.678)	Prec@5 81.250 (80.483)
Epoch: [63][8780/14090]	Time 0.769 (0.764)	Data 0.001 (0.002)	Loss 2.1781 (1.8995)	Prec@1 42.188 (50.677)	Prec@5 75.781 (80.483)
Epoch: [63][8790/14090]	Time 0.755 (0.764)	Data 0.001 (0.002)	Loss 1.8060 (1.8995)	Prec@1 53.125 (50.678)	Prec@5 85.156 (80.484)
Epoch: [63][8800/14090]	Time 0.744 (0.764)	Data 0.001 (0.002)	Loss 1.8023 (1.8995)	Prec@1 53.906 (50.680)	Prec@5 80.469 (80.482)
Epoch: [63][8810/14090]	Time 0.759 (0.764)	Data 0.001 (0.002)	Loss 1.6350 (1.8995)	Prec@1 54.688 (50.679)	Prec@5 82.812 (80.483)
Epoch: [63][8820/14090]	Time 0.752 (0.764)	Data 0.001 (0.002)	Loss 1.5909 (1.8994)	Prec@1 60.156 (50.682)	Prec@5 80.469 (80.483)
Epoch: [63][8830/14090]	Time 0.896 (0.764)	Data 0.001 (0.002)	Loss 1.7919 (1.8994)	Prec@1 53.125 (50.684)	Prec@5 82.031 (80.483)
Epoch: [63][8840/14090]	Time 0.747 (0.764)	Data 0.001 (0.002)	Loss 1.9684 (1.8994)	Prec@1 48.438 (50.687)	Prec@5 79.688 (80.482)
Epoch: [63][8850/14090]	Time 0.745 (0.764)	Data 0.001 (0.002)	Loss 2.0749 (1.8994)	Prec@1 53.125 (50.687)	Prec@5 77.344 (80.481)
Epoch: [63][8860/14090]	Time 0.764 (0.764)	Data 0.001 (0.002)	Loss 1.9459 (1.8994)	Prec@1 50.781 (50.686)	Prec@5 83.594 (80.481)
Epoch: [63][8870/14090]	Time 0.741 (0.764)	Data 0.001 (0.002)	Loss 2.0816 (1.8994)	Prec@1 45.312 (50.687)	Prec@5 78.125 (80.482)
Epoch: [63][8880/14090]	Time 0.724 (0.764)	Data 0.001 (0.002)	Loss 1.8696 (1.8994)	Prec@1 50.000 (50.686)	Prec@5 80.469 (80.482)
Epoch: [63][8890/14090]	Time 0.729 (0.764)	Data 0.001 (0.002)	Loss 1.9127 (1.8994)	Prec@1 47.656 (50.684)	Prec@5 81.250 (80.482)
Epoch: [63][8900/14090]	Time 0.844 (0.764)	Data 0.001 (0.002)	Loss 1.8517 (1.8994)	Prec@1 50.000 (50.685)	Prec@5 82.812 (80.482)
Epoch: [63][8910/14090]	Time 0.747 (0.764)	Data 0.001 (0.002)	Loss 1.7821 (1.8994)	Prec@1 50.000 (50.684)	Prec@5 81.250 (80.484)
Epoch: [63][8920/14090]	Time 0.749 (0.764)	Data 0.001 (0.002)	Loss 1.7830 (1.8994)	Prec@1 50.781 (50.683)	Prec@5 82.031 (80.483)
Epoch: [63][8930/14090]	Time 0.748 (0.764)	Data 0.001 (0.002)	Loss 1.7973 (1.8994)	Prec@1 57.031 (50.683)	Prec@5 84.375 (80.483)
Epoch: [63][8940/14090]	Time 0.750 (0.764)	Data 0.001 (0.002)	Loss 1.9381 (1.8993)	Prec@1 50.000 (50.685)	Prec@5 78.906 (80.485)
Epoch: [63][8950/14090]	Time 0.745 (0.764)	Data 0.001 (0.002)	Loss 1.8220 (1.8993)	Prec@1 53.906 (50.684)	Prec@5 80.469 (80.484)
Epoch: [63][8960/14090]	Time 0.749 (0.764)	Data 0.001 (0.002)	Loss 1.9452 (1.8993)	Prec@1 51.562 (50.683)	Prec@5 81.250 (80.484)
Epoch: [63][8970/14090]	Time 0.864 (0.764)	Data 0.001 (0.001)	Loss 1.7107 (1.8993)	Prec@1 53.906 (50.680)	Prec@5 85.156 (80.484)
Epoch: [63][8980/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 1.7937 (1.8994)	Prec@1 53.906 (50.679)	Prec@5 82.031 (80.484)
Epoch: [63][8990/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 1.7797 (1.8993)	Prec@1 55.469 (50.681)	Prec@5 82.812 (80.485)
Epoch: [63][9000/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 2.0816 (1.8994)	Prec@1 46.094 (50.679)	Prec@5 75.781 (80.484)
Epoch: [63][9010/14090]	Time 0.765 (0.764)	Data 0.001 (0.001)	Loss 1.7721 (1.8994)	Prec@1 54.688 (50.680)	Prec@5 84.375 (80.484)
Epoch: [63][9020/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 1.7729 (1.8994)	Prec@1 57.812 (50.681)	Prec@5 82.812 (80.484)
Epoch: [63][9030/14090]	Time 0.728 (0.764)	Data 0.001 (0.001)	Loss 1.8828 (1.8992)	Prec@1 49.219 (50.684)	Prec@5 82.031 (80.485)
Epoch: [63][9040/14090]	Time 0.826 (0.764)	Data 0.001 (0.001)	Loss 1.8276 (1.8993)	Prec@1 50.781 (50.683)	Prec@5 82.031 (80.485)
Epoch: [63][9050/14090]	Time 0.759 (0.764)	Data 0.001 (0.001)	Loss 2.0353 (1.8992)	Prec@1 46.875 (50.686)	Prec@5 80.469 (80.488)
Epoch: [63][9060/14090]	Time 0.763 (0.764)	Data 0.001 (0.001)	Loss 1.7840 (1.8991)	Prec@1 53.906 (50.687)	Prec@5 82.812 (80.490)
Epoch: [63][9070/14090]	Time 0.730 (0.764)	Data 0.001 (0.001)	Loss 1.9584 (1.8991)	Prec@1 46.094 (50.685)	Prec@5 78.125 (80.490)
Epoch: [63][9080/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 1.9332 (1.8991)	Prec@1 52.344 (50.686)	Prec@5 76.562 (80.491)
Epoch: [63][9090/14090]	Time 0.736 (0.764)	Data 0.001 (0.001)	Loss 2.0493 (1.8991)	Prec@1 50.781 (50.686)	Prec@5 82.031 (80.490)
Epoch: [63][9100/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 1.8025 (1.8992)	Prec@1 47.656 (50.686)	Prec@5 84.375 (80.489)
Epoch: [63][9110/14090]	Time 0.871 (0.764)	Data 0.001 (0.001)	Loss 1.6302 (1.8992)	Prec@1 53.906 (50.685)	Prec@5 85.156 (80.487)
Epoch: [63][9120/14090]	Time 0.765 (0.764)	Data 0.001 (0.001)	Loss 1.7673 (1.8993)	Prec@1 60.938 (50.688)	Prec@5 80.469 (80.483)
Epoch: [63][9130/14090]	Time 0.771 (0.764)	Data 0.001 (0.001)	Loss 2.1021 (1.8993)	Prec@1 45.312 (50.686)	Prec@5 78.906 (80.483)
Epoch: [63][9140/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 1.7920 (1.8993)	Prec@1 51.562 (50.687)	Prec@5 80.469 (80.483)
Epoch: [63][9150/14090]	Time 0.775 (0.764)	Data 0.001 (0.001)	Loss 1.6620 (1.8993)	Prec@1 59.375 (50.688)	Prec@5 84.375 (80.484)
Epoch: [63][9160/14090]	Time 0.764 (0.764)	Data 0.001 (0.001)	Loss 1.9094 (1.8993)	Prec@1 51.562 (50.687)	Prec@5 78.906 (80.484)
Epoch: [63][9170/14090]	Time 0.777 (0.764)	Data 0.001 (0.001)	Loss 1.6504 (1.8993)	Prec@1 58.594 (50.685)	Prec@5 81.250 (80.483)
Epoch: [63][9180/14090]	Time 0.863 (0.764)	Data 0.001 (0.001)	Loss 1.7119 (1.8992)	Prec@1 54.688 (50.686)	Prec@5 85.156 (80.483)
Epoch: [63][9190/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 1.7907 (1.8993)	Prec@1 52.344 (50.685)	Prec@5 79.688 (80.483)
Epoch: [63][9200/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 1.9909 (1.8992)	Prec@1 51.562 (50.686)	Prec@5 82.812 (80.484)
Epoch: [63][9210/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 1.8830 (1.8993)	Prec@1 48.438 (50.684)	Prec@5 80.469 (80.484)
Epoch: [63][9220/14090]	Time 0.744 (0.764)	Data 0.001 (0.001)	Loss 1.8411 (1.8993)	Prec@1 50.781 (50.682)	Prec@5 85.156 (80.483)
Epoch: [63][9230/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 1.7492 (1.8992)	Prec@1 56.250 (50.684)	Prec@5 82.031 (80.484)
Epoch: [63][9240/14090]	Time 0.764 (0.764)	Data 0.001 (0.001)	Loss 1.9835 (1.8993)	Prec@1 46.875 (50.681)	Prec@5 78.125 (80.483)
Epoch: [63][9250/14090]	Time 0.881 (0.764)	Data 0.001 (0.001)	Loss 1.9136 (1.8993)	Prec@1 51.562 (50.684)	Prec@5 78.906 (80.483)
Epoch: [63][9260/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 1.8272 (1.8993)	Prec@1 55.469 (50.685)	Prec@5 83.594 (80.484)
Epoch: [63][9270/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 1.7970 (1.8993)	Prec@1 47.656 (50.685)	Prec@5 81.250 (80.483)
Epoch: [63][9280/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 1.9584 (1.8993)	Prec@1 52.344 (50.684)	Prec@5 78.125 (80.483)
Epoch: [63][9290/14090]	Time 0.764 (0.764)	Data 0.001 (0.001)	Loss 2.0910 (1.8993)	Prec@1 50.000 (50.684)	Prec@5 74.219 (80.482)
Epoch: [63][9300/14090]	Time 0.733 (0.764)	Data 0.001 (0.001)	Loss 1.7457 (1.8994)	Prec@1 53.125 (50.684)	Prec@5 80.469 (80.482)
Epoch: [63][9310/14090]	Time 0.761 (0.764)	Data 0.001 (0.001)	Loss 2.2174 (1.8993)	Prec@1 38.281 (50.685)	Prec@5 77.344 (80.484)
Epoch: [63][9320/14090]	Time 0.859 (0.764)	Data 0.001 (0.001)	Loss 1.9801 (1.8993)	Prec@1 47.656 (50.684)	Prec@5 82.812 (80.484)
Epoch: [63][9330/14090]	Time 0.724 (0.764)	Data 0.001 (0.001)	Loss 2.0627 (1.8994)	Prec@1 48.438 (50.683)	Prec@5 78.906 (80.483)
Epoch: [63][9340/14090]	Time 0.744 (0.764)	Data 0.001 (0.001)	Loss 1.8408 (1.8994)	Prec@1 50.000 (50.681)	Prec@5 85.938 (80.483)
Epoch: [63][9350/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 1.7088 (1.8994)	Prec@1 49.219 (50.681)	Prec@5 85.156 (80.484)
Epoch: [63][9360/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 2.2290 (1.8993)	Prec@1 43.750 (50.682)	Prec@5 74.219 (80.485)
Epoch: [63][9370/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 1.9816 (1.8994)	Prec@1 50.781 (50.680)	Prec@5 82.812 (80.485)
Epoch: [63][9380/14090]	Time 0.745 (0.764)	Data 0.001 (0.001)	Loss 1.9737 (1.8994)	Prec@1 48.438 (50.679)	Prec@5 78.906 (80.486)
Epoch: [63][9390/14090]	Time 0.869 (0.764)	Data 0.001 (0.001)	Loss 1.8293 (1.8994)	Prec@1 47.656 (50.677)	Prec@5 88.281 (80.488)
Epoch: [63][9400/14090]	Time 0.723 (0.764)	Data 0.001 (0.001)	Loss 2.0224 (1.8993)	Prec@1 49.219 (50.677)	Prec@5 75.000 (80.488)
Epoch: [63][9410/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 1.9180 (1.8994)	Prec@1 50.781 (50.675)	Prec@5 78.906 (80.488)
Epoch: [63][9420/14090]	Time 0.733 (0.764)	Data 0.001 (0.001)	Loss 1.8044 (1.8993)	Prec@1 53.125 (50.677)	Prec@5 82.812 (80.487)
Epoch: [63][9430/14090]	Time 0.764 (0.764)	Data 0.001 (0.001)	Loss 2.0231 (1.8993)	Prec@1 53.125 (50.677)	Prec@5 76.562 (80.486)
Epoch: [63][9440/14090]	Time 0.728 (0.764)	Data 0.001 (0.001)	Loss 1.8255 (1.8993)	Prec@1 51.562 (50.680)	Prec@5 78.906 (80.487)
Epoch: [63][9450/14090]	Time 0.729 (0.764)	Data 0.001 (0.001)	Loss 1.8421 (1.8993)	Prec@1 46.875 (50.680)	Prec@5 77.344 (80.486)
Epoch: [63][9460/14090]	Time 0.871 (0.764)	Data 0.001 (0.001)	Loss 1.8081 (1.8993)	Prec@1 57.812 (50.683)	Prec@5 80.469 (80.485)
Epoch: [63][9470/14090]	Time 0.728 (0.764)	Data 0.001 (0.001)	Loss 2.0306 (1.8992)	Prec@1 43.750 (50.684)	Prec@5 78.906 (80.486)
Epoch: [63][9480/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 1.7835 (1.8992)	Prec@1 46.875 (50.682)	Prec@5 82.031 (80.487)
Epoch: [63][9490/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 1.7883 (1.8992)	Prec@1 50.781 (50.684)	Prec@5 82.812 (80.487)
Epoch: [63][9500/14090]	Time 0.763 (0.764)	Data 0.001 (0.001)	Loss 1.8069 (1.8991)	Prec@1 54.688 (50.684)	Prec@5 84.375 (80.489)
Epoch: [63][9510/14090]	Time 0.736 (0.764)	Data 0.001 (0.001)	Loss 1.7496 (1.8992)	Prec@1 57.812 (50.685)	Prec@5 84.375 (80.488)
Epoch: [63][9520/14090]	Time 0.743 (0.764)	Data 0.001 (0.001)	Loss 2.0764 (1.8992)	Prec@1 43.750 (50.684)	Prec@5 78.125 (80.487)
Epoch: [63][9530/14090]	Time 0.856 (0.764)	Data 0.001 (0.001)	Loss 1.9612 (1.8993)	Prec@1 45.312 (50.683)	Prec@5 81.250 (80.485)
Epoch: [63][9540/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 1.9732 (1.8993)	Prec@1 50.781 (50.680)	Prec@5 78.125 (80.485)
Epoch: [63][9550/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 1.8463 (1.8994)	Prec@1 46.875 (50.680)	Prec@5 81.250 (80.484)
Epoch: [63][9560/14090]	Time 0.760 (0.764)	Data 0.001 (0.001)	Loss 2.0175 (1.8994)	Prec@1 50.000 (50.681)	Prec@5 79.688 (80.483)
Epoch: [63][9570/14090]	Time 0.725 (0.764)	Data 0.001 (0.001)	Loss 2.0532 (1.8995)	Prec@1 50.000 (50.680)	Prec@5 75.000 (80.480)
Epoch: [63][9580/14090]	Time 0.760 (0.764)	Data 0.001 (0.001)	Loss 1.6938 (1.8994)	Prec@1 55.469 (50.682)	Prec@5 85.938 (80.481)
Epoch: [63][9590/14090]	Time 0.763 (0.764)	Data 0.001 (0.001)	Loss 1.9139 (1.8994)	Prec@1 43.750 (50.683)	Prec@5 83.594 (80.482)
Epoch: [63][9600/14090]	Time 0.840 (0.764)	Data 0.001 (0.001)	Loss 2.0992 (1.8996)	Prec@1 47.656 (50.679)	Prec@5 78.906 (80.479)
Epoch: [63][9610/14090]	Time 0.745 (0.764)	Data 0.001 (0.001)	Loss 1.7887 (1.8996)	Prec@1 50.000 (50.678)	Prec@5 82.812 (80.478)
Epoch: [63][9620/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 1.9820 (1.8995)	Prec@1 51.562 (50.680)	Prec@5 74.219 (80.478)
Epoch: [63][9630/14090]	Time 0.781 (0.764)	Data 0.001 (0.001)	Loss 2.0541 (1.8995)	Prec@1 48.438 (50.681)	Prec@5 79.688 (80.477)
Epoch: [63][9640/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 1.8698 (1.8996)	Prec@1 49.219 (50.680)	Prec@5 79.688 (80.476)
Epoch: [63][9650/14090]	Time 0.745 (0.764)	Data 0.001 (0.001)	Loss 1.9972 (1.8995)	Prec@1 53.125 (50.682)	Prec@5 78.906 (80.478)
Epoch: [63][9660/14090]	Time 0.740 (0.764)	Data 0.001 (0.001)	Loss 1.8845 (1.8995)	Prec@1 52.344 (50.680)	Prec@5 82.031 (80.479)
Epoch: [63][9670/14090]	Time 0.862 (0.764)	Data 0.001 (0.001)	Loss 1.8885 (1.8995)	Prec@1 56.250 (50.681)	Prec@5 75.781 (80.478)
Epoch: [63][9680/14090]	Time 0.746 (0.764)	Data 0.001 (0.001)	Loss 2.0510 (1.8996)	Prec@1 42.969 (50.680)	Prec@5 79.688 (80.477)
Epoch: [63][9690/14090]	Time 0.730 (0.764)	Data 0.001 (0.001)	Loss 2.0112 (1.8996)	Prec@1 51.562 (50.683)	Prec@5 81.250 (80.477)
Epoch: [63][9700/14090]	Time 0.729 (0.764)	Data 0.001 (0.001)	Loss 1.7219 (1.8995)	Prec@1 49.219 (50.683)	Prec@5 87.500 (80.478)
Epoch: [63][9710/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 1.8258 (1.8995)	Prec@1 50.781 (50.683)	Prec@5 81.250 (80.479)
Epoch: [63][9720/14090]	Time 0.753 (0.764)	Data 0.003 (0.001)	Loss 1.5906 (1.8994)	Prec@1 60.156 (50.685)	Prec@5 86.719 (80.480)
Epoch: [63][9730/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 1.9083 (1.8994)	Prec@1 50.781 (50.684)	Prec@5 78.906 (80.481)
Epoch: [63][9740/14090]	Time 0.884 (0.764)	Data 0.001 (0.001)	Loss 1.7879 (1.8993)	Prec@1 47.656 (50.685)	Prec@5 85.156 (80.481)
Epoch: [63][9750/14090]	Time 0.759 (0.764)	Data 0.003 (0.001)	Loss 1.7050 (1.8993)	Prec@1 59.375 (50.686)	Prec@5 81.250 (80.482)
Epoch: [63][9760/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 1.6837 (1.8993)	Prec@1 50.781 (50.686)	Prec@5 85.938 (80.482)
Epoch: [63][9770/14090]	Time 0.739 (0.764)	Data 0.001 (0.001)	Loss 1.8563 (1.8992)	Prec@1 54.688 (50.688)	Prec@5 81.250 (80.485)
Epoch: [63][9780/14090]	Time 0.760 (0.764)	Data 0.001 (0.001)	Loss 2.0067 (1.8992)	Prec@1 52.344 (50.689)	Prec@5 77.344 (80.484)
Epoch: [63][9790/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 1.9268 (1.8992)	Prec@1 52.344 (50.689)	Prec@5 81.250 (80.482)
Epoch: [63][9800/14090]	Time 0.763 (0.764)	Data 0.001 (0.001)	Loss 1.5832 (1.8993)	Prec@1 60.938 (50.689)	Prec@5 85.938 (80.483)
Epoch: [63][9810/14090]	Time 0.999 (0.764)	Data 0.001 (0.001)	Loss 2.1054 (1.8992)	Prec@1 40.625 (50.688)	Prec@5 76.562 (80.485)
Epoch: [63][9820/14090]	Time 0.734 (0.764)	Data 0.001 (0.001)	Loss 1.8803 (1.8992)	Prec@1 52.344 (50.689)	Prec@5 83.594 (80.484)
Epoch: [63][9830/14090]	Time 0.733 (0.764)	Data 0.001 (0.001)	Loss 1.8182 (1.8992)	Prec@1 50.781 (50.689)	Prec@5 84.375 (80.484)
Epoch: [63][9840/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 1.8086 (1.8991)	Prec@1 51.562 (50.690)	Prec@5 85.156 (80.485)
Epoch: [63][9850/14090]	Time 0.769 (0.764)	Data 0.001 (0.001)	Loss 2.0226 (1.8992)	Prec@1 49.219 (50.689)	Prec@5 75.000 (80.486)
Epoch: [63][9860/14090]	Time 0.778 (0.764)	Data 0.001 (0.001)	Loss 2.0587 (1.8991)	Prec@1 45.312 (50.691)	Prec@5 74.219 (80.486)
Epoch: [63][9870/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 2.1601 (1.8991)	Prec@1 46.094 (50.692)	Prec@5 76.562 (80.487)
Epoch: [63][9880/14090]	Time 0.868 (0.764)	Data 0.001 (0.001)	Loss 1.8730 (1.8991)	Prec@1 49.219 (50.690)	Prec@5 81.250 (80.487)
Epoch: [63][9890/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 1.9231 (1.8992)	Prec@1 46.094 (50.688)	Prec@5 81.250 (80.488)
Epoch: [63][9900/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 1.9562 (1.8991)	Prec@1 50.000 (50.690)	Prec@5 78.906 (80.489)
Epoch: [63][9910/14090]	Time 0.773 (0.764)	Data 0.001 (0.001)	Loss 1.8710 (1.8991)	Prec@1 49.219 (50.691)	Prec@5 81.250 (80.490)
Epoch: [63][9920/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 1.9193 (1.8992)	Prec@1 49.219 (50.689)	Prec@5 77.344 (80.488)
Epoch: [63][9930/14090]	Time 0.743 (0.764)	Data 0.001 (0.001)	Loss 2.0397 (1.8992)	Prec@1 46.875 (50.687)	Prec@5 80.469 (80.488)
Epoch: [63][9940/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 1.8809 (1.8993)	Prec@1 49.219 (50.686)	Prec@5 81.250 (80.487)
Epoch: [63][9950/14090]	Time 0.910 (0.764)	Data 0.001 (0.001)	Loss 1.9609 (1.8992)	Prec@1 52.344 (50.685)	Prec@5 80.469 (80.485)
Epoch: [63][9960/14090]	Time 0.758 (0.764)	Data 0.001 (0.001)	Loss 1.8445 (1.8992)	Prec@1 43.750 (50.686)	Prec@5 84.375 (80.486)
Epoch: [63][9970/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 2.1058 (1.8993)	Prec@1 46.875 (50.684)	Prec@5 74.219 (80.486)
Epoch: [63][9980/14090]	Time 0.744 (0.764)	Data 0.001 (0.001)	Loss 2.0952 (1.8994)	Prec@1 49.219 (50.683)	Prec@5 75.781 (80.485)
Epoch: [63][9990/14090]	Time 0.725 (0.764)	Data 0.001 (0.001)	Loss 1.9722 (1.8994)	Prec@1 42.969 (50.682)	Prec@5 82.812 (80.484)
Epoch: [63][10000/14090]	Time 0.734 (0.764)	Data 0.001 (0.001)	Loss 1.7736 (1.8993)	Prec@1 51.562 (50.684)	Prec@5 83.594 (80.486)
Epoch: [63][10010/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 1.8459 (1.8994)	Prec@1 53.125 (50.683)	Prec@5 82.812 (80.484)
Epoch: [63][10020/14090]	Time 0.874 (0.764)	Data 0.001 (0.001)	Loss 1.9541 (1.8993)	Prec@1 46.875 (50.682)	Prec@5 81.250 (80.485)
Epoch: [63][10030/14090]	Time 0.776 (0.764)	Data 0.001 (0.001)	Loss 2.1792 (1.8994)	Prec@1 46.094 (50.682)	Prec@5 76.562 (80.484)
Epoch: [63][10040/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 1.8784 (1.8994)	Prec@1 53.906 (50.682)	Prec@5 78.906 (80.484)
Epoch: [63][10050/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 2.1022 (1.8994)	Prec@1 44.531 (50.681)	Prec@5 79.688 (80.486)
Epoch: [63][10060/14090]	Time 0.739 (0.764)	Data 0.001 (0.001)	Loss 1.7439 (1.8993)	Prec@1 50.000 (50.682)	Prec@5 83.594 (80.486)
Epoch: [63][10070/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 1.6463 (1.8993)	Prec@1 55.469 (50.682)	Prec@5 85.156 (80.487)
Epoch: [63][10080/14090]	Time 0.789 (0.764)	Data 0.001 (0.001)	Loss 1.7438 (1.8992)	Prec@1 50.781 (50.682)	Prec@5 83.594 (80.488)
Epoch: [63][10090/14090]	Time 0.825 (0.764)	Data 0.001 (0.001)	Loss 2.1871 (1.8992)	Prec@1 49.219 (50.684)	Prec@5 75.000 (80.488)
Epoch: [63][10100/14090]	Time 0.725 (0.764)	Data 0.001 (0.001)	Loss 1.9055 (1.8992)	Prec@1 46.875 (50.685)	Prec@5 82.812 (80.489)
Epoch: [63][10110/14090]	Time 0.770 (0.764)	Data 0.001 (0.001)	Loss 2.1414 (1.8992)	Prec@1 39.844 (50.684)	Prec@5 75.781 (80.489)
Epoch: [63][10120/14090]	Time 0.733 (0.764)	Data 0.001 (0.001)	Loss 1.8964 (1.8992)	Prec@1 50.781 (50.684)	Prec@5 84.375 (80.490)
Epoch: [63][10130/14090]	Time 0.736 (0.764)	Data 0.001 (0.001)	Loss 1.8946 (1.8992)	Prec@1 57.812 (50.686)	Prec@5 78.906 (80.488)
Epoch: [63][10140/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 1.9556 (1.8992)	Prec@1 46.875 (50.687)	Prec@5 81.250 (80.489)
Epoch: [63][10150/14090]	Time 0.760 (0.764)	Data 0.001 (0.001)	Loss 1.5136 (1.8991)	Prec@1 64.062 (50.690)	Prec@5 84.375 (80.490)
Epoch: [63][10160/14090]	Time 0.835 (0.764)	Data 0.001 (0.001)	Loss 2.1121 (1.8992)	Prec@1 47.656 (50.688)	Prec@5 78.906 (80.489)
Epoch: [63][10170/14090]	Time 0.725 (0.764)	Data 0.001 (0.001)	Loss 2.0208 (1.8991)	Prec@1 51.562 (50.688)	Prec@5 78.125 (80.489)
Epoch: [63][10180/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 1.9784 (1.8991)	Prec@1 50.000 (50.689)	Prec@5 82.812 (80.491)
Epoch: [63][10190/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 1.8362 (1.8991)	Prec@1 50.000 (50.688)	Prec@5 84.375 (80.491)
Epoch: [63][10200/14090]	Time 0.726 (0.764)	Data 0.001 (0.001)	Loss 1.9939 (1.8992)	Prec@1 51.562 (50.686)	Prec@5 80.469 (80.489)
Epoch: [63][10210/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 1.9679 (1.8993)	Prec@1 49.219 (50.683)	Prec@5 80.469 (80.489)
Epoch: [63][10220/14090]	Time 0.728 (0.764)	Data 0.001 (0.001)	Loss 1.8146 (1.8993)	Prec@1 51.562 (50.683)	Prec@5 82.031 (80.489)
Epoch: [63][10230/14090]	Time 0.890 (0.764)	Data 0.001 (0.001)	Loss 1.8629 (1.8992)	Prec@1 51.562 (50.683)	Prec@5 78.125 (80.490)
Epoch: [63][10240/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 2.3636 (1.8993)	Prec@1 43.750 (50.682)	Prec@5 75.781 (80.489)
Epoch: [63][10250/14090]	Time 0.746 (0.764)	Data 0.001 (0.001)	Loss 1.7116 (1.8993)	Prec@1 53.125 (50.681)	Prec@5 85.938 (80.489)
Epoch: [63][10260/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 1.9166 (1.8993)	Prec@1 46.094 (50.679)	Prec@5 82.812 (80.488)
Epoch: [63][10270/14090]	Time 0.735 (0.764)	Data 0.001 (0.001)	Loss 1.7486 (1.8993)	Prec@1 53.125 (50.677)	Prec@5 81.250 (80.489)
Epoch: [63][10280/14090]	Time 0.758 (0.764)	Data 0.001 (0.001)	Loss 1.8842 (1.8992)	Prec@1 50.000 (50.678)	Prec@5 82.031 (80.492)
Epoch: [63][10290/14090]	Time 0.747 (0.764)	Data 0.003 (0.001)	Loss 1.7658 (1.8991)	Prec@1 56.250 (50.681)	Prec@5 82.031 (80.493)
Epoch: [63][10300/14090]	Time 0.836 (0.764)	Data 0.001 (0.001)	Loss 2.0875 (1.8991)	Prec@1 46.875 (50.681)	Prec@5 78.906 (80.494)
Epoch: [63][10310/14090]	Time 0.745 (0.764)	Data 0.001 (0.001)	Loss 1.9339 (1.8991)	Prec@1 51.562 (50.682)	Prec@5 80.469 (80.494)
Epoch: [63][10320/14090]	Time 0.733 (0.764)	Data 0.001 (0.001)	Loss 1.7823 (1.8991)	Prec@1 55.469 (50.684)	Prec@5 85.938 (80.495)
Epoch: [63][10330/14090]	Time 0.730 (0.764)	Data 0.001 (0.001)	Loss 1.8798 (1.8991)	Prec@1 48.438 (50.684)	Prec@5 81.250 (80.495)
Epoch: [63][10340/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 1.7609 (1.8990)	Prec@1 56.250 (50.685)	Prec@5 83.594 (80.495)
Epoch: [63][10350/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 2.0056 (1.8991)	Prec@1 50.000 (50.684)	Prec@5 78.125 (80.495)
Epoch: [63][10360/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 2.0252 (1.8991)	Prec@1 49.219 (50.685)	Prec@5 78.125 (80.495)
Epoch: [63][10370/14090]	Time 0.885 (0.764)	Data 0.001 (0.001)	Loss 1.9404 (1.8991)	Prec@1 46.875 (50.684)	Prec@5 78.125 (80.495)
Epoch: [63][10380/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 1.9252 (1.8992)	Prec@1 50.781 (50.683)	Prec@5 86.719 (80.493)
Epoch: [63][10390/14090]	Time 0.739 (0.764)	Data 0.001 (0.001)	Loss 1.9336 (1.8992)	Prec@1 49.219 (50.682)	Prec@5 81.250 (80.494)
Epoch: [63][10400/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 1.6590 (1.8992)	Prec@1 56.250 (50.680)	Prec@5 82.031 (80.492)
Epoch: [63][10410/14090]	Time 0.745 (0.764)	Data 0.001 (0.001)	Loss 2.1626 (1.8992)	Prec@1 53.906 (50.681)	Prec@5 73.438 (80.491)
Epoch: [63][10420/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 1.5874 (1.8993)	Prec@1 58.594 (50.680)	Prec@5 82.031 (80.490)
Epoch: [63][10430/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 1.7019 (1.8993)	Prec@1 57.812 (50.679)	Prec@5 85.938 (80.489)
Epoch: [63][10440/14090]	Time 0.881 (0.764)	Data 0.001 (0.001)	Loss 1.8964 (1.8994)	Prec@1 52.344 (50.677)	Prec@5 81.250 (80.488)
Epoch: [63][10450/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 2.1483 (1.8995)	Prec@1 48.438 (50.676)	Prec@5 74.219 (80.486)
Epoch: [63][10460/14090]	Time 0.743 (0.764)	Data 0.001 (0.001)	Loss 2.2242 (1.8994)	Prec@1 45.312 (50.678)	Prec@5 74.219 (80.486)
Epoch: [63][10470/14090]	Time 0.732 (0.764)	Data 0.001 (0.001)	Loss 1.8488 (1.8994)	Prec@1 50.000 (50.677)	Prec@5 78.906 (80.486)
Epoch: [63][10480/14090]	Time 0.739 (0.764)	Data 0.001 (0.001)	Loss 1.8452 (1.8995)	Prec@1 52.344 (50.677)	Prec@5 81.250 (80.487)
Epoch: [63][10490/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 1.8699 (1.8995)	Prec@1 50.000 (50.678)	Prec@5 79.688 (80.486)
Epoch: [63][10500/14090]	Time 0.759 (0.764)	Data 0.001 (0.001)	Loss 2.2357 (1.8995)	Prec@1 46.094 (50.678)	Prec@5 75.000 (80.486)
Epoch: [63][10510/14090]	Time 0.855 (0.764)	Data 0.001 (0.001)	Loss 1.8884 (1.8995)	Prec@1 51.562 (50.678)	Prec@5 80.469 (80.487)
Epoch: [63][10520/14090]	Time 0.761 (0.764)	Data 0.001 (0.001)	Loss 1.8533 (1.8994)	Prec@1 53.125 (50.680)	Prec@5 83.594 (80.487)
Epoch: [63][10530/14090]	Time 0.735 (0.764)	Data 0.001 (0.001)	Loss 2.0706 (1.8994)	Prec@1 49.219 (50.677)	Prec@5 77.344 (80.488)
Epoch: [63][10540/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 2.0796 (1.8995)	Prec@1 43.750 (50.675)	Prec@5 78.906 (80.487)
Epoch: [63][10550/14090]	Time 0.745 (0.764)	Data 0.001 (0.001)	Loss 1.9598 (1.8996)	Prec@1 47.656 (50.674)	Prec@5 76.562 (80.484)
Epoch: [63][10560/14090]	Time 0.743 (0.764)	Data 0.001 (0.001)	Loss 2.0396 (1.8996)	Prec@1 46.094 (50.674)	Prec@5 77.344 (80.483)
Epoch: [63][10570/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 1.8433 (1.8996)	Prec@1 56.250 (50.673)	Prec@5 83.594 (80.484)
Epoch: [63][10580/14090]	Time 0.843 (0.764)	Data 0.001 (0.001)	Loss 2.1324 (1.8996)	Prec@1 42.969 (50.672)	Prec@5 75.781 (80.484)
Epoch: [63][10590/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 1.7290 (1.8995)	Prec@1 47.656 (50.674)	Prec@5 83.594 (80.486)
Epoch: [63][10600/14090]	Time 0.772 (0.764)	Data 0.001 (0.001)	Loss 1.8571 (1.8995)	Prec@1 56.250 (50.673)	Prec@5 82.812 (80.485)
Epoch: [63][10610/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 1.7816 (1.8995)	Prec@1 56.250 (50.675)	Prec@5 82.812 (80.486)
Epoch: [63][10620/14090]	Time 0.768 (0.764)	Data 0.001 (0.001)	Loss 1.9279 (1.8995)	Prec@1 53.125 (50.677)	Prec@5 79.688 (80.487)
Epoch: [63][10630/14090]	Time 0.759 (0.764)	Data 0.001 (0.001)	Loss 2.1952 (1.8995)	Prec@1 39.844 (50.676)	Prec@5 71.875 (80.486)
Epoch: [63][10640/14090]	Time 0.727 (0.764)	Data 0.001 (0.001)	Loss 1.9693 (1.8996)	Prec@1 46.875 (50.675)	Prec@5 78.125 (80.485)
Epoch: [63][10650/14090]	Time 0.864 (0.764)	Data 0.001 (0.001)	Loss 1.9344 (1.8995)	Prec@1 51.562 (50.676)	Prec@5 79.688 (80.486)
Epoch: [63][10660/14090]	Time 0.740 (0.764)	Data 0.001 (0.001)	Loss 1.9407 (1.8996)	Prec@1 53.125 (50.676)	Prec@5 82.812 (80.485)
Epoch: [63][10670/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 1.9018 (1.8996)	Prec@1 47.656 (50.675)	Prec@5 82.812 (80.486)
Epoch: [63][10680/14090]	Time 0.725 (0.764)	Data 0.001 (0.001)	Loss 1.8690 (1.8996)	Prec@1 45.312 (50.674)	Prec@5 81.250 (80.486)
Epoch: [63][10690/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 1.8772 (1.8996)	Prec@1 50.781 (50.672)	Prec@5 80.469 (80.485)
Epoch: [63][10700/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 1.9568 (1.8996)	Prec@1 47.656 (50.672)	Prec@5 82.031 (80.485)
Epoch: [63][10710/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 2.2558 (1.8996)	Prec@1 42.969 (50.671)	Prec@5 78.125 (80.486)
Epoch: [63][10720/14090]	Time 0.851 (0.764)	Data 0.001 (0.001)	Loss 1.8136 (1.8995)	Prec@1 46.875 (50.671)	Prec@5 82.031 (80.487)
Epoch: [63][10730/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 2.0384 (1.8996)	Prec@1 46.094 (50.671)	Prec@5 78.125 (80.485)
Epoch: [63][10740/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 1.6522 (1.8995)	Prec@1 57.031 (50.672)	Prec@5 85.938 (80.488)
Epoch: [63][10750/14090]	Time 0.740 (0.764)	Data 0.001 (0.001)	Loss 1.8611 (1.8995)	Prec@1 52.344 (50.669)	Prec@5 80.469 (80.486)
Epoch: [63][10760/14090]	Time 0.724 (0.764)	Data 0.001 (0.001)	Loss 1.9614 (1.8995)	Prec@1 52.344 (50.669)	Prec@5 78.125 (80.485)
Epoch: [63][10770/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 1.7386 (1.8995)	Prec@1 54.688 (50.669)	Prec@5 83.594 (80.487)
Epoch: [63][10780/14090]	Time 0.724 (0.764)	Data 0.001 (0.001)	Loss 1.6977 (1.8995)	Prec@1 54.688 (50.668)	Prec@5 82.031 (80.485)
Epoch: [63][10790/14090]	Time 0.869 (0.764)	Data 0.001 (0.001)	Loss 1.8706 (1.8995)	Prec@1 51.562 (50.668)	Prec@5 80.469 (80.485)
Epoch: [63][10800/14090]	Time 0.727 (0.764)	Data 0.001 (0.001)	Loss 1.6995 (1.8995)	Prec@1 53.125 (50.667)	Prec@5 90.625 (80.485)
Epoch: [63][10810/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 1.6775 (1.8995)	Prec@1 57.031 (50.669)	Prec@5 82.031 (80.486)
Epoch: [63][10820/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 1.9326 (1.8996)	Prec@1 50.000 (50.667)	Prec@5 80.469 (80.484)
Epoch: [63][10830/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 2.0780 (1.8997)	Prec@1 47.656 (50.665)	Prec@5 76.562 (80.482)
Epoch: [63][10840/14090]	Time 0.744 (0.764)	Data 0.001 (0.001)	Loss 1.9188 (1.8997)	Prec@1 50.781 (50.665)	Prec@5 79.688 (80.481)
Epoch: [63][10850/14090]	Time 0.725 (0.764)	Data 0.001 (0.001)	Loss 1.8107 (1.8997)	Prec@1 52.344 (50.664)	Prec@5 81.250 (80.482)
Epoch: [63][10860/14090]	Time 0.831 (0.764)	Data 0.001 (0.001)	Loss 2.0020 (1.8997)	Prec@1 51.562 (50.664)	Prec@5 75.781 (80.481)
Epoch: [63][10870/14090]	Time 0.779 (0.764)	Data 0.001 (0.001)	Loss 1.8602 (1.8997)	Prec@1 52.344 (50.665)	Prec@5 83.594 (80.481)
Epoch: [63][10880/14090]	Time 0.721 (0.764)	Data 0.001 (0.001)	Loss 1.9998 (1.8996)	Prec@1 43.750 (50.667)	Prec@5 80.469 (80.481)
Epoch: [63][10890/14090]	Time 0.764 (0.764)	Data 0.001 (0.001)	Loss 2.0800 (1.8996)	Prec@1 47.656 (50.667)	Prec@5 79.688 (80.481)
Epoch: [63][10900/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 2.2231 (1.8997)	Prec@1 45.312 (50.664)	Prec@5 71.875 (80.480)
Epoch: [63][10910/14090]	Time 0.739 (0.764)	Data 0.001 (0.001)	Loss 2.0728 (1.8997)	Prec@1 50.000 (50.663)	Prec@5 73.438 (80.479)
Epoch: [63][10920/14090]	Time 0.743 (0.764)	Data 0.001 (0.001)	Loss 1.7050 (1.8997)	Prec@1 57.812 (50.663)	Prec@5 84.375 (80.479)
Epoch: [63][10930/14090]	Time 0.841 (0.764)	Data 0.001 (0.001)	Loss 2.2003 (1.8997)	Prec@1 48.438 (50.664)	Prec@5 75.000 (80.479)
Epoch: [63][10940/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 1.6359 (1.8997)	Prec@1 61.719 (50.665)	Prec@5 88.281 (80.480)
Epoch: [63][10950/14090]	Time 0.732 (0.764)	Data 0.001 (0.001)	Loss 1.7890 (1.8996)	Prec@1 50.000 (50.667)	Prec@5 82.812 (80.481)
Epoch: [63][10960/14090]	Time 0.759 (0.764)	Data 0.001 (0.001)	Loss 1.8891 (1.8996)	Prec@1 50.000 (50.666)	Prec@5 82.812 (80.481)
Epoch: [63][10970/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 1.6985 (1.8995)	Prec@1 53.125 (50.665)	Prec@5 83.594 (80.482)
Epoch: [63][10980/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 2.1018 (1.8996)	Prec@1 48.438 (50.665)	Prec@5 79.688 (80.479)
Epoch: [63][10990/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 1.7652 (1.8995)	Prec@1 51.562 (50.666)	Prec@5 83.594 (80.481)
Epoch: [63][11000/14090]	Time 0.838 (0.764)	Data 0.001 (0.001)	Loss 1.9937 (1.8995)	Prec@1 49.219 (50.666)	Prec@5 75.781 (80.481)
Epoch: [63][11010/14090]	Time 0.744 (0.764)	Data 0.001 (0.001)	Loss 1.8349 (1.8994)	Prec@1 46.875 (50.668)	Prec@5 82.812 (80.482)
Epoch: [63][11020/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 2.0176 (1.8994)	Prec@1 48.438 (50.670)	Prec@5 77.344 (80.482)
Epoch: [63][11030/14090]	Time 0.733 (0.764)	Data 0.001 (0.001)	Loss 2.3142 (1.8994)	Prec@1 42.969 (50.667)	Prec@5 73.438 (80.481)
Epoch: [63][11040/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 1.8058 (1.8995)	Prec@1 55.469 (50.666)	Prec@5 83.594 (80.481)
Epoch: [63][11050/14090]	Time 0.723 (0.764)	Data 0.001 (0.001)	Loss 1.7617 (1.8995)	Prec@1 55.469 (50.668)	Prec@5 89.062 (80.481)
Epoch: [63][11060/14090]	Time 0.771 (0.764)	Data 0.001 (0.001)	Loss 1.9646 (1.8995)	Prec@1 47.656 (50.669)	Prec@5 78.906 (80.482)
Epoch: [63][11070/14090]	Time 0.899 (0.764)	Data 0.001 (0.001)	Loss 1.8967 (1.8995)	Prec@1 52.344 (50.667)	Prec@5 81.250 (80.483)
Epoch: [63][11080/14090]	Time 0.760 (0.764)	Data 0.001 (0.001)	Loss 1.9264 (1.8994)	Prec@1 53.906 (50.669)	Prec@5 80.469 (80.484)
Epoch: [63][11090/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 1.9561 (1.8995)	Prec@1 46.875 (50.666)	Prec@5 80.469 (80.483)
Epoch: [63][11100/14090]	Time 0.734 (0.764)	Data 0.001 (0.001)	Loss 1.9082 (1.8995)	Prec@1 50.000 (50.669)	Prec@5 75.000 (80.482)
Epoch: [63][11110/14090]	Time 0.762 (0.764)	Data 0.001 (0.001)	Loss 1.9818 (1.8995)	Prec@1 47.656 (50.668)	Prec@5 80.469 (80.481)
Epoch: [63][11120/14090]	Time 0.773 (0.764)	Data 0.001 (0.001)	Loss 1.8665 (1.8995)	Prec@1 53.906 (50.668)	Prec@5 81.250 (80.482)
Epoch: [63][11130/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 1.9428 (1.8994)	Prec@1 49.219 (50.670)	Prec@5 76.562 (80.482)
Epoch: [63][11140/14090]	Time 0.848 (0.764)	Data 0.001 (0.001)	Loss 1.8421 (1.8995)	Prec@1 51.562 (50.670)	Prec@5 84.375 (80.482)
Epoch: [63][11150/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 2.1811 (1.8995)	Prec@1 42.188 (50.667)	Prec@5 75.781 (80.481)
Epoch: [63][11160/14090]	Time 0.770 (0.764)	Data 0.001 (0.001)	Loss 1.6154 (1.8995)	Prec@1 48.438 (50.668)	Prec@5 82.031 (80.483)
Epoch: [63][11170/14090]	Time 0.739 (0.764)	Data 0.001 (0.001)	Loss 1.3992 (1.8995)	Prec@1 61.719 (50.668)	Prec@5 89.062 (80.484)
Epoch: [63][11180/14090]	Time 0.729 (0.764)	Data 0.001 (0.001)	Loss 1.7695 (1.8995)	Prec@1 52.344 (50.667)	Prec@5 82.812 (80.483)
Epoch: [63][11190/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 2.0271 (1.8995)	Prec@1 50.000 (50.666)	Prec@5 78.125 (80.483)
Epoch: [63][11200/14090]	Time 0.774 (0.764)	Data 0.001 (0.001)	Loss 1.8179 (1.8995)	Prec@1 49.219 (50.666)	Prec@5 82.812 (80.483)
Epoch: [63][11210/14090]	Time 0.886 (0.764)	Data 0.001 (0.001)	Loss 1.7165 (1.8995)	Prec@1 53.125 (50.667)	Prec@5 83.594 (80.482)
Epoch: [63][11220/14090]	Time 0.739 (0.764)	Data 0.001 (0.001)	Loss 1.7359 (1.8995)	Prec@1 57.812 (50.667)	Prec@5 83.594 (80.482)
Epoch: [63][11230/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 2.0572 (1.8996)	Prec@1 50.781 (50.667)	Prec@5 78.906 (80.482)
Epoch: [63][11240/14090]	Time 0.766 (0.764)	Data 0.001 (0.001)	Loss 2.1029 (1.8996)	Prec@1 48.438 (50.668)	Prec@5 74.219 (80.483)
Epoch: [63][11250/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 1.8707 (1.8996)	Prec@1 48.438 (50.667)	Prec@5 78.125 (80.482)
Epoch: [63][11260/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 1.8007 (1.8997)	Prec@1 55.469 (50.668)	Prec@5 85.156 (80.482)
Epoch: [63][11270/14090]	Time 0.761 (0.764)	Data 0.001 (0.001)	Loss 1.8901 (1.8997)	Prec@1 61.719 (50.668)	Prec@5 80.469 (80.482)
Epoch: [63][11280/14090]	Time 0.836 (0.764)	Data 0.001 (0.001)	Loss 1.9430 (1.8997)	Prec@1 50.000 (50.669)	Prec@5 78.906 (80.482)
Epoch: [63][11290/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 1.6437 (1.8997)	Prec@1 55.469 (50.670)	Prec@5 86.719 (80.482)
Epoch: [63][11300/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 2.0758 (1.8997)	Prec@1 46.094 (50.670)	Prec@5 78.125 (80.482)
Epoch: [63][11310/14090]	Time 0.736 (0.764)	Data 0.001 (0.001)	Loss 1.9227 (1.8997)	Prec@1 50.000 (50.670)	Prec@5 83.594 (80.482)
Epoch: [63][11320/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 2.0916 (1.8997)	Prec@1 50.781 (50.671)	Prec@5 80.469 (80.481)
Epoch: [63][11330/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 2.0123 (1.8997)	Prec@1 48.438 (50.670)	Prec@5 73.438 (80.479)
Epoch: [63][11340/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 1.9516 (1.8997)	Prec@1 49.219 (50.669)	Prec@5 83.594 (80.479)
Epoch: [63][11350/14090]	Time 0.860 (0.764)	Data 0.001 (0.001)	Loss 1.7897 (1.8997)	Prec@1 55.469 (50.670)	Prec@5 81.250 (80.479)
Epoch: [63][11360/14090]	Time 0.759 (0.764)	Data 0.001 (0.001)	Loss 1.8691 (1.8997)	Prec@1 50.000 (50.671)	Prec@5 79.688 (80.479)
Epoch: [63][11370/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 1.9585 (1.8996)	Prec@1 52.344 (50.673)	Prec@5 81.250 (80.481)
Epoch: [63][11380/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 2.1684 (1.8996)	Prec@1 46.875 (50.673)	Prec@5 75.000 (80.482)
Epoch: [63][11390/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 2.0474 (1.8997)	Prec@1 55.469 (50.672)	Prec@5 80.469 (80.481)
Epoch: [63][11400/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 2.0551 (1.8998)	Prec@1 46.875 (50.671)	Prec@5 80.469 (80.480)
Epoch: [63][11410/14090]	Time 0.745 (0.764)	Data 0.001 (0.001)	Loss 1.8965 (1.8998)	Prec@1 51.562 (50.672)	Prec@5 78.906 (80.480)
Epoch: [63][11420/14090]	Time 0.849 (0.764)	Data 0.001 (0.001)	Loss 2.0253 (1.8998)	Prec@1 50.781 (50.670)	Prec@5 78.906 (80.479)
Epoch: [63][11430/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 1.8501 (1.8998)	Prec@1 49.219 (50.671)	Prec@5 83.594 (80.480)
Epoch: [63][11440/14090]	Time 0.735 (0.764)	Data 0.001 (0.001)	Loss 1.8508 (1.8998)	Prec@1 48.438 (50.671)	Prec@5 82.812 (80.479)
Epoch: [63][11450/14090]	Time 0.723 (0.764)	Data 0.001 (0.001)	Loss 1.8570 (1.8999)	Prec@1 49.219 (50.670)	Prec@5 82.812 (80.478)
Epoch: [63][11460/14090]	Time 0.771 (0.764)	Data 0.002 (0.001)	Loss 1.9112 (1.8998)	Prec@1 46.875 (50.671)	Prec@5 77.344 (80.479)
Epoch: [63][11470/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 1.6928 (1.8998)	Prec@1 46.094 (50.669)	Prec@5 85.938 (80.479)
Epoch: [63][11480/14090]	Time 0.735 (0.764)	Data 0.001 (0.001)	Loss 2.1133 (1.8998)	Prec@1 47.656 (50.671)	Prec@5 78.906 (80.478)
Epoch: [63][11490/14090]	Time 0.846 (0.764)	Data 0.001 (0.001)	Loss 1.8941 (1.8997)	Prec@1 48.438 (50.673)	Prec@5 84.375 (80.480)
Epoch: [63][11500/14090]	Time 0.762 (0.764)	Data 0.001 (0.001)	Loss 1.8385 (1.8997)	Prec@1 52.344 (50.673)	Prec@5 78.906 (80.479)
Epoch: [63][11510/14090]	Time 0.728 (0.764)	Data 0.001 (0.001)	Loss 2.1353 (1.8997)	Prec@1 53.906 (50.674)	Prec@5 73.438 (80.480)
Epoch: [63][11520/14090]	Time 0.748 (0.764)	Data 0.001 (0.001)	Loss 1.9661 (1.8996)	Prec@1 49.219 (50.675)	Prec@5 79.688 (80.481)
Epoch: [63][11530/14090]	Time 0.736 (0.764)	Data 0.001 (0.001)	Loss 1.9015 (1.8997)	Prec@1 50.781 (50.674)	Prec@5 79.688 (80.480)
Epoch: [63][11540/14090]	Time 0.726 (0.764)	Data 0.001 (0.001)	Loss 1.9415 (1.8997)	Prec@1 52.344 (50.674)	Prec@5 81.250 (80.480)
Epoch: [63][11550/14090]	Time 0.734 (0.764)	Data 0.001 (0.001)	Loss 1.8047 (1.8996)	Prec@1 52.344 (50.676)	Prec@5 84.375 (80.479)
Epoch: [63][11560/14090]	Time 0.819 (0.764)	Data 0.001 (0.001)	Loss 1.8038 (1.8996)	Prec@1 53.906 (50.676)	Prec@5 82.812 (80.480)
Epoch: [63][11570/14090]	Time 0.730 (0.764)	Data 0.001 (0.001)	Loss 2.1023 (1.8996)	Prec@1 46.875 (50.676)	Prec@5 78.906 (80.479)
Epoch: [63][11580/14090]	Time 0.779 (0.764)	Data 0.001 (0.001)	Loss 1.7963 (1.8996)	Prec@1 53.906 (50.675)	Prec@5 84.375 (80.481)
Epoch: [63][11590/14090]	Time 0.748 (0.764)	Data 0.001 (0.001)	Loss 1.6611 (1.8996)	Prec@1 58.594 (50.677)	Prec@5 87.500 (80.481)
Epoch: [63][11600/14090]	Time 0.728 (0.764)	Data 0.001 (0.001)	Loss 2.0688 (1.8996)	Prec@1 49.219 (50.678)	Prec@5 79.688 (80.480)
Epoch: [63][11610/14090]	Time 0.765 (0.764)	Data 0.001 (0.001)	Loss 1.7327 (1.8995)	Prec@1 55.469 (50.679)	Prec@5 80.469 (80.480)
Epoch: [63][11620/14090]	Time 0.746 (0.764)	Data 0.001 (0.001)	Loss 1.9126 (1.8995)	Prec@1 50.781 (50.680)	Prec@5 78.125 (80.481)
Epoch: [63][11630/14090]	Time 0.917 (0.764)	Data 0.003 (0.001)	Loss 1.8576 (1.8996)	Prec@1 53.906 (50.678)	Prec@5 80.469 (80.480)
Epoch: [63][11640/14090]	Time 0.732 (0.764)	Data 0.001 (0.001)	Loss 2.0125 (1.8996)	Prec@1 47.656 (50.677)	Prec@5 76.562 (80.479)
Epoch: [63][11650/14090]	Time 0.721 (0.764)	Data 0.001 (0.001)	Loss 2.0492 (1.8997)	Prec@1 51.562 (50.679)	Prec@5 78.906 (80.478)
Epoch: [63][11660/14090]	Time 0.782 (0.764)	Data 0.001 (0.001)	Loss 1.6601 (1.8996)	Prec@1 55.469 (50.681)	Prec@5 84.375 (80.478)
Epoch: [63][11670/14090]	Time 0.765 (0.764)	Data 0.001 (0.001)	Loss 1.8489 (1.8996)	Prec@1 53.125 (50.681)	Prec@5 83.594 (80.479)
Epoch: [63][11680/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 1.8655 (1.8996)	Prec@1 54.688 (50.679)	Prec@5 84.375 (80.478)
Epoch: [63][11690/14090]	Time 0.740 (0.764)	Data 0.001 (0.001)	Loss 1.9519 (1.8996)	Prec@1 55.469 (50.678)	Prec@5 78.125 (80.478)
Epoch: [63][11700/14090]	Time 0.847 (0.764)	Data 0.001 (0.001)	Loss 1.7303 (1.8996)	Prec@1 53.906 (50.680)	Prec@5 83.594 (80.477)
Epoch: [63][11710/14090]	Time 0.766 (0.764)	Data 0.001 (0.001)	Loss 1.8860 (1.8996)	Prec@1 49.219 (50.680)	Prec@5 84.375 (80.479)
Epoch: [63][11720/14090]	Time 0.721 (0.764)	Data 0.001 (0.001)	Loss 1.8659 (1.8996)	Prec@1 52.344 (50.680)	Prec@5 82.031 (80.479)
Epoch: [63][11730/14090]	Time 0.763 (0.764)	Data 0.001 (0.001)	Loss 1.8507 (1.8995)	Prec@1 53.125 (50.682)	Prec@5 83.594 (80.480)
Epoch: [63][11740/14090]	Time 0.744 (0.764)	Data 0.001 (0.001)	Loss 1.6350 (1.8995)	Prec@1 61.719 (50.683)	Prec@5 82.812 (80.481)
Epoch: [63][11750/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 1.6853 (1.8994)	Prec@1 57.031 (50.683)	Prec@5 83.594 (80.482)
Epoch: [63][11760/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 1.9057 (1.8995)	Prec@1 57.031 (50.683)	Prec@5 80.469 (80.481)
Epoch: [63][11770/14090]	Time 0.854 (0.764)	Data 0.001 (0.001)	Loss 1.9997 (1.8995)	Prec@1 46.094 (50.683)	Prec@5 81.250 (80.482)
Epoch: [63][11780/14090]	Time 0.733 (0.764)	Data 0.001 (0.001)	Loss 1.8071 (1.8994)	Prec@1 58.594 (50.683)	Prec@5 81.250 (80.483)
Epoch: [63][11790/14090]	Time 0.740 (0.764)	Data 0.001 (0.001)	Loss 1.9996 (1.8994)	Prec@1 44.531 (50.683)	Prec@5 80.469 (80.483)
Epoch: [63][11800/14090]	Time 0.779 (0.764)	Data 0.001 (0.001)	Loss 2.0268 (1.8994)	Prec@1 46.094 (50.684)	Prec@5 78.125 (80.484)
Epoch: [63][11810/14090]	Time 0.736 (0.764)	Data 0.001 (0.001)	Loss 1.8685 (1.8994)	Prec@1 48.438 (50.684)	Prec@5 80.469 (80.483)
Epoch: [63][11820/14090]	Time 0.719 (0.764)	Data 0.001 (0.001)	Loss 1.9209 (1.8994)	Prec@1 46.875 (50.685)	Prec@5 82.812 (80.482)
Epoch: [63][11830/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 1.8302 (1.8994)	Prec@1 50.000 (50.684)	Prec@5 83.594 (80.482)
Epoch: [63][11840/14090]	Time 0.862 (0.764)	Data 0.001 (0.001)	Loss 1.9358 (1.8994)	Prec@1 53.906 (50.685)	Prec@5 79.688 (80.482)
Epoch: [63][11850/14090]	Time 0.729 (0.764)	Data 0.001 (0.001)	Loss 1.9575 (1.8994)	Prec@1 50.000 (50.685)	Prec@5 80.469 (80.482)
Epoch: [63][11860/14090]	Time 0.725 (0.764)	Data 0.001 (0.001)	Loss 1.8429 (1.8994)	Prec@1 50.000 (50.685)	Prec@5 79.688 (80.482)
Epoch: [63][11870/14090]	Time 0.721 (0.764)	Data 0.001 (0.001)	Loss 1.5708 (1.8994)	Prec@1 55.469 (50.685)	Prec@5 85.156 (80.482)
Epoch: [63][11880/14090]	Time 0.735 (0.764)	Data 0.001 (0.001)	Loss 2.1644 (1.8994)	Prec@1 46.875 (50.683)	Prec@5 76.562 (80.481)
Epoch: [63][11890/14090]	Time 0.740 (0.764)	Data 0.001 (0.001)	Loss 2.2396 (1.8995)	Prec@1 44.531 (50.683)	Prec@5 76.562 (80.480)
Epoch: [63][11900/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 1.8200 (1.8994)	Prec@1 50.000 (50.684)	Prec@5 85.156 (80.481)
Epoch: [63][11910/14090]	Time 0.876 (0.764)	Data 0.001 (0.001)	Loss 1.7717 (1.8994)	Prec@1 53.906 (50.685)	Prec@5 84.375 (80.480)
Epoch: [63][11920/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 1.9921 (1.8994)	Prec@1 50.000 (50.685)	Prec@5 81.250 (80.481)
Epoch: [63][11930/14090]	Time 0.745 (0.764)	Data 0.001 (0.001)	Loss 1.9553 (1.8994)	Prec@1 47.656 (50.686)	Prec@5 79.688 (80.481)
Epoch: [63][11940/14090]	Time 0.728 (0.764)	Data 0.001 (0.001)	Loss 2.1388 (1.8994)	Prec@1 45.312 (50.685)	Prec@5 75.781 (80.481)
Epoch: [63][11950/14090]	Time 0.762 (0.764)	Data 0.002 (0.001)	Loss 2.0061 (1.8994)	Prec@1 46.094 (50.685)	Prec@5 79.688 (80.481)
Epoch: [63][11960/14090]	Time 0.734 (0.764)	Data 0.001 (0.001)	Loss 2.2297 (1.8994)	Prec@1 45.312 (50.685)	Prec@5 72.656 (80.482)
Epoch: [63][11970/14090]	Time 0.730 (0.764)	Data 0.001 (0.001)	Loss 1.9993 (1.8994)	Prec@1 46.875 (50.685)	Prec@5 76.562 (80.481)
Epoch: [63][11980/14090]	Time 0.864 (0.764)	Data 0.001 (0.001)	Loss 1.6608 (1.8994)	Prec@1 53.906 (50.687)	Prec@5 87.500 (80.482)
Epoch: [63][11990/14090]	Time 0.748 (0.764)	Data 0.001 (0.001)	Loss 1.9156 (1.8993)	Prec@1 53.906 (50.687)	Prec@5 80.469 (80.482)
Epoch: [63][12000/14090]	Time 0.725 (0.764)	Data 0.001 (0.001)	Loss 2.2058 (1.8993)	Prec@1 47.656 (50.686)	Prec@5 75.781 (80.482)
Epoch: [63][12010/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 1.9355 (1.8993)	Prec@1 42.969 (50.685)	Prec@5 80.469 (80.483)
Epoch: [63][12020/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 1.6057 (1.8994)	Prec@1 58.594 (50.684)	Prec@5 87.500 (80.482)
Epoch: [63][12030/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 1.7713 (1.8994)	Prec@1 52.344 (50.683)	Prec@5 81.250 (80.481)
Epoch: [63][12040/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 2.1432 (1.8994)	Prec@1 39.844 (50.682)	Prec@5 79.688 (80.483)
Epoch: [63][12050/14090]	Time 0.855 (0.764)	Data 0.001 (0.001)	Loss 2.1520 (1.8993)	Prec@1 43.750 (50.683)	Prec@5 77.344 (80.483)
Epoch: [63][12060/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 1.9354 (1.8994)	Prec@1 52.344 (50.682)	Prec@5 82.031 (80.482)
Epoch: [63][12070/14090]	Time 0.734 (0.764)	Data 0.001 (0.001)	Loss 1.6419 (1.8993)	Prec@1 59.375 (50.682)	Prec@5 85.156 (80.483)
Epoch: [63][12080/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.1971 (1.8994)	Prec@1 46.094 (50.680)	Prec@5 71.875 (80.481)
Epoch: [63][12090/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 1.8345 (1.8994)	Prec@1 53.125 (50.681)	Prec@5 78.125 (80.482)
Epoch: [63][12100/14090]	Time 0.739 (0.764)	Data 0.001 (0.001)	Loss 1.9585 (1.8993)	Prec@1 55.469 (50.684)	Prec@5 83.594 (80.484)
Epoch: [63][12110/14090]	Time 0.730 (0.764)	Data 0.001 (0.001)	Loss 2.0957 (1.8994)	Prec@1 51.562 (50.683)	Prec@5 75.000 (80.483)
Epoch: [63][12120/14090]	Time 0.872 (0.764)	Data 0.001 (0.001)	Loss 1.6839 (1.8993)	Prec@1 50.000 (50.684)	Prec@5 82.031 (80.484)
Epoch: [63][12130/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 1.9654 (1.8994)	Prec@1 53.125 (50.683)	Prec@5 81.250 (80.484)
Epoch: [63][12140/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 1.9498 (1.8993)	Prec@1 42.188 (50.682)	Prec@5 78.906 (80.485)
Epoch: [63][12150/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 2.1527 (1.8994)	Prec@1 46.875 (50.680)	Prec@5 77.344 (80.485)
Epoch: [63][12160/14090]	Time 0.723 (0.764)	Data 0.001 (0.001)	Loss 1.8968 (1.8993)	Prec@1 50.000 (50.683)	Prec@5 79.688 (80.486)
Epoch: [63][12170/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 1.5356 (1.8993)	Prec@1 63.281 (50.683)	Prec@5 85.156 (80.486)
Epoch: [63][12180/14090]	Time 0.775 (0.764)	Data 0.001 (0.001)	Loss 2.0476 (1.8994)	Prec@1 47.656 (50.682)	Prec@5 74.219 (80.484)
Epoch: [63][12190/14090]	Time 0.843 (0.764)	Data 0.001 (0.001)	Loss 2.0029 (1.8994)	Prec@1 42.188 (50.680)	Prec@5 82.031 (80.484)
Epoch: [63][12200/14090]	Time 0.728 (0.764)	Data 0.001 (0.001)	Loss 1.6947 (1.8993)	Prec@1 53.125 (50.681)	Prec@5 82.031 (80.484)
Epoch: [63][12210/14090]	Time 0.732 (0.764)	Data 0.001 (0.001)	Loss 2.2601 (1.8993)	Prec@1 48.438 (50.682)	Prec@5 72.656 (80.485)
Epoch: [63][12220/14090]	Time 0.740 (0.764)	Data 0.001 (0.001)	Loss 1.9815 (1.8993)	Prec@1 47.656 (50.681)	Prec@5 78.906 (80.486)
Epoch: [63][12230/14090]	Time 0.729 (0.764)	Data 0.001 (0.001)	Loss 1.9305 (1.8993)	Prec@1 50.781 (50.682)	Prec@5 78.906 (80.486)
Epoch: [63][12240/14090]	Time 0.740 (0.764)	Data 0.001 (0.001)	Loss 1.6194 (1.8993)	Prec@1 56.250 (50.682)	Prec@5 82.812 (80.485)
Epoch: [63][12250/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 1.9858 (1.8993)	Prec@1 48.438 (50.681)	Prec@5 82.812 (80.486)
Epoch: [63][12260/14090]	Time 0.945 (0.764)	Data 0.001 (0.001)	Loss 1.8897 (1.8993)	Prec@1 46.875 (50.682)	Prec@5 80.469 (80.486)
Epoch: [63][12270/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 1.9006 (1.8993)	Prec@1 50.000 (50.683)	Prec@5 78.906 (80.486)
Epoch: [63][12280/14090]	Time 0.718 (0.764)	Data 0.001 (0.001)	Loss 2.1314 (1.8993)	Prec@1 43.750 (50.682)	Prec@5 72.656 (80.485)
Epoch: [63][12290/14090]	Time 0.745 (0.764)	Data 0.001 (0.001)	Loss 1.8714 (1.8993)	Prec@1 51.562 (50.685)	Prec@5 85.156 (80.485)
Epoch: [63][12300/14090]	Time 0.735 (0.764)	Data 0.001 (0.001)	Loss 1.9010 (1.8993)	Prec@1 49.219 (50.684)	Prec@5 78.906 (80.485)
Epoch: [63][12310/14090]	Time 0.753 (0.764)	Data 0.004 (0.001)	Loss 1.7704 (1.8993)	Prec@1 56.250 (50.684)	Prec@5 79.688 (80.486)
Epoch: [63][12320/14090]	Time 0.785 (0.764)	Data 0.001 (0.001)	Loss 1.8612 (1.8993)	Prec@1 58.594 (50.684)	Prec@5 84.375 (80.487)
Epoch: [63][12330/14090]	Time 0.819 (0.764)	Data 0.001 (0.001)	Loss 1.7791 (1.8993)	Prec@1 55.469 (50.685)	Prec@5 80.469 (80.487)
Epoch: [63][12340/14090]	Time 0.727 (0.764)	Data 0.001 (0.001)	Loss 1.8377 (1.8993)	Prec@1 52.344 (50.685)	Prec@5 78.125 (80.487)
Epoch: [63][12350/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 1.8379 (1.8993)	Prec@1 54.688 (50.685)	Prec@5 77.344 (80.486)
Epoch: [63][12360/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 1.7721 (1.8993)	Prec@1 50.781 (50.686)	Prec@5 83.594 (80.487)
Epoch: [63][12370/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 1.8395 (1.8993)	Prec@1 50.781 (50.686)	Prec@5 80.469 (80.487)
Epoch: [63][12380/14090]	Time 0.730 (0.764)	Data 0.001 (0.001)	Loss 1.8393 (1.8993)	Prec@1 56.250 (50.686)	Prec@5 82.812 (80.486)
Epoch: [63][12390/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 1.8340 (1.8992)	Prec@1 50.781 (50.686)	Prec@5 79.688 (80.487)
Epoch: [63][12400/14090]	Time 0.859 (0.764)	Data 0.001 (0.001)	Loss 2.0018 (1.8992)	Prec@1 48.438 (50.686)	Prec@5 78.125 (80.487)
Epoch: [63][12410/14090]	Time 0.776 (0.764)	Data 0.001 (0.001)	Loss 1.5629 (1.8992)	Prec@1 56.250 (50.687)	Prec@5 88.281 (80.489)
Epoch: [63][12420/14090]	Time 0.728 (0.764)	Data 0.001 (0.001)	Loss 2.1587 (1.8992)	Prec@1 45.312 (50.686)	Prec@5 74.219 (80.488)
Epoch: [63][12430/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 2.0670 (1.8992)	Prec@1 44.531 (50.685)	Prec@5 75.781 (80.487)
Epoch: [63][12440/14090]	Time 0.732 (0.764)	Data 0.001 (0.001)	Loss 1.8746 (1.8993)	Prec@1 52.344 (50.684)	Prec@5 80.469 (80.486)
Epoch: [63][12450/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 2.0181 (1.8993)	Prec@1 43.750 (50.684)	Prec@5 80.469 (80.488)
Epoch: [63][12460/14090]	Time 0.759 (0.764)	Data 0.001 (0.001)	Loss 1.8608 (1.8993)	Prec@1 53.906 (50.684)	Prec@5 82.812 (80.488)
Epoch: [63][12470/14090]	Time 0.882 (0.764)	Data 0.001 (0.001)	Loss 1.7066 (1.8992)	Prec@1 55.469 (50.686)	Prec@5 81.250 (80.488)
Epoch: [63][12480/14090]	Time 0.777 (0.764)	Data 0.001 (0.001)	Loss 1.7344 (1.8992)	Prec@1 52.344 (50.686)	Prec@5 84.375 (80.489)
Epoch: [63][12490/14090]	Time 0.726 (0.764)	Data 0.001 (0.001)	Loss 1.9211 (1.8992)	Prec@1 49.219 (50.686)	Prec@5 80.469 (80.489)
Epoch: [63][12500/14090]	Time 0.780 (0.764)	Data 0.001 (0.001)	Loss 1.8450 (1.8992)	Prec@1 53.125 (50.687)	Prec@5 81.250 (80.489)
Epoch: [63][12510/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 1.8338 (1.8991)	Prec@1 52.344 (50.688)	Prec@5 74.219 (80.490)
Epoch: [63][12520/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 1.8930 (1.8991)	Prec@1 46.875 (50.688)	Prec@5 82.812 (80.491)
Epoch: [63][12530/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 2.0119 (1.8992)	Prec@1 47.656 (50.686)	Prec@5 78.906 (80.489)
Epoch: [63][12540/14090]	Time 0.893 (0.764)	Data 0.001 (0.001)	Loss 1.8821 (1.8991)	Prec@1 48.438 (50.687)	Prec@5 81.250 (80.490)
Epoch: [63][12550/14090]	Time 0.774 (0.764)	Data 0.001 (0.001)	Loss 1.9233 (1.8991)	Prec@1 46.875 (50.687)	Prec@5 79.688 (80.490)
Epoch: [63][12560/14090]	Time 0.727 (0.764)	Data 0.001 (0.001)	Loss 1.8349 (1.8991)	Prec@1 49.219 (50.686)	Prec@5 84.375 (80.491)
Epoch: [63][12570/14090]	Time 0.781 (0.764)	Data 0.001 (0.001)	Loss 1.9786 (1.8992)	Prec@1 46.875 (50.683)	Prec@5 78.906 (80.489)
Epoch: [63][12580/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 1.9565 (1.8992)	Prec@1 49.219 (50.682)	Prec@5 82.031 (80.489)
Epoch: [63][12590/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 1.7664 (1.8992)	Prec@1 51.562 (50.681)	Prec@5 83.594 (80.489)
Epoch: [63][12600/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 1.9313 (1.8992)	Prec@1 47.656 (50.681)	Prec@5 83.594 (80.490)
Epoch: [63][12610/14090]	Time 0.828 (0.764)	Data 0.001 (0.001)	Loss 1.8841 (1.8992)	Prec@1 48.438 (50.680)	Prec@5 79.688 (80.490)
Epoch: [63][12620/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 1.9050 (1.8993)	Prec@1 50.781 (50.677)	Prec@5 80.469 (80.488)
Epoch: [63][12630/14090]	Time 0.733 (0.764)	Data 0.001 (0.001)	Loss 1.7639 (1.8993)	Prec@1 50.000 (50.679)	Prec@5 83.594 (80.489)
Epoch: [63][12640/14090]	Time 0.772 (0.764)	Data 0.001 (0.001)	Loss 1.7950 (1.8992)	Prec@1 48.438 (50.680)	Prec@5 82.031 (80.490)
Epoch: [63][12650/14090]	Time 0.745 (0.764)	Data 0.001 (0.001)	Loss 2.1959 (1.8993)	Prec@1 45.312 (50.680)	Prec@5 71.875 (80.489)
Epoch: [63][12660/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 2.1866 (1.8993)	Prec@1 41.406 (50.679)	Prec@5 76.562 (80.490)
Epoch: [63][12670/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 1.6766 (1.8992)	Prec@1 50.781 (50.679)	Prec@5 82.812 (80.491)
Epoch: [63][12680/14090]	Time 0.847 (0.764)	Data 0.001 (0.001)	Loss 1.9391 (1.8992)	Prec@1 49.219 (50.680)	Prec@5 78.906 (80.491)
Epoch: [63][12690/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 1.7678 (1.8992)	Prec@1 56.250 (50.680)	Prec@5 83.594 (80.491)
Epoch: [63][12700/14090]	Time 0.726 (0.764)	Data 0.001 (0.001)	Loss 1.7913 (1.8992)	Prec@1 53.906 (50.680)	Prec@5 83.594 (80.491)
Epoch: [63][12710/14090]	Time 0.744 (0.764)	Data 0.001 (0.001)	Loss 1.9499 (1.8992)	Prec@1 50.000 (50.680)	Prec@5 78.125 (80.491)
Epoch: [63][12720/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 1.7769 (1.8992)	Prec@1 51.562 (50.679)	Prec@5 83.594 (80.492)
Epoch: [63][12730/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 1.9914 (1.8992)	Prec@1 46.875 (50.680)	Prec@5 79.688 (80.492)
Epoch: [63][12740/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 1.7324 (1.8991)	Prec@1 54.688 (50.682)	Prec@5 88.281 (80.493)
Epoch: [63][12750/14090]	Time 1.005 (0.764)	Data 0.001 (0.001)	Loss 1.7997 (1.8991)	Prec@1 54.688 (50.682)	Prec@5 81.250 (80.494)
Epoch: [63][12760/14090]	Time 0.726 (0.764)	Data 0.001 (0.001)	Loss 2.1542 (1.8991)	Prec@1 47.656 (50.683)	Prec@5 74.219 (80.494)
Epoch: [63][12770/14090]	Time 0.723 (0.764)	Data 0.001 (0.001)	Loss 1.8431 (1.8991)	Prec@1 50.000 (50.683)	Prec@5 78.125 (80.493)
Epoch: [63][12780/14090]	Time 0.748 (0.764)	Data 0.001 (0.001)	Loss 1.9275 (1.8992)	Prec@1 54.688 (50.681)	Prec@5 82.031 (80.492)
Epoch: [63][12790/14090]	Time 0.766 (0.764)	Data 0.001 (0.001)	Loss 1.8619 (1.8992)	Prec@1 48.438 (50.681)	Prec@5 80.469 (80.491)
Epoch: [63][12800/14090]	Time 0.735 (0.764)	Data 0.001 (0.001)	Loss 1.8107 (1.8992)	Prec@1 50.781 (50.679)	Prec@5 85.156 (80.490)
Epoch: [63][12810/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 1.6293 (1.8992)	Prec@1 57.812 (50.680)	Prec@5 85.938 (80.490)
Epoch: [63][12820/14090]	Time 0.853 (0.764)	Data 0.001 (0.001)	Loss 2.0457 (1.8992)	Prec@1 50.000 (50.678)	Prec@5 75.000 (80.490)
Epoch: [63][12830/14090]	Time 0.725 (0.764)	Data 0.001 (0.001)	Loss 1.9217 (1.8992)	Prec@1 53.125 (50.678)	Prec@5 81.250 (80.490)
Epoch: [63][12840/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 1.8360 (1.8993)	Prec@1 50.781 (50.677)	Prec@5 81.250 (80.489)
Epoch: [63][12850/14090]	Time 0.730 (0.764)	Data 0.001 (0.001)	Loss 1.7751 (1.8993)	Prec@1 56.250 (50.677)	Prec@5 82.031 (80.489)
Epoch: [63][12860/14090]	Time 0.748 (0.764)	Data 0.001 (0.001)	Loss 1.8597 (1.8992)	Prec@1 50.000 (50.678)	Prec@5 84.375 (80.490)
Epoch: [63][12870/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 1.9116 (1.8993)	Prec@1 48.438 (50.678)	Prec@5 82.812 (80.490)
Epoch: [63][12880/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 1.8622 (1.8994)	Prec@1 56.250 (50.676)	Prec@5 81.250 (80.489)
Epoch: [63][12890/14090]	Time 0.860 (0.764)	Data 0.001 (0.001)	Loss 1.8088 (1.8994)	Prec@1 50.781 (50.675)	Prec@5 81.250 (80.488)
Epoch: [63][12900/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 1.9955 (1.8994)	Prec@1 42.969 (50.674)	Prec@5 78.125 (80.489)
Epoch: [63][12910/14090]	Time 0.766 (0.764)	Data 0.001 (0.001)	Loss 1.8116 (1.8994)	Prec@1 51.562 (50.672)	Prec@5 81.250 (80.489)
Epoch: [63][12920/14090]	Time 0.783 (0.764)	Data 0.001 (0.001)	Loss 1.9210 (1.8994)	Prec@1 47.656 (50.672)	Prec@5 79.688 (80.489)
Epoch: [63][12930/14090]	Time 0.727 (0.764)	Data 0.001 (0.001)	Loss 2.0744 (1.8994)	Prec@1 46.875 (50.670)	Prec@5 77.344 (80.488)
Epoch: [63][12940/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 1.9475 (1.8994)	Prec@1 47.656 (50.669)	Prec@5 81.250 (80.490)
Epoch: [63][12950/14090]	Time 0.783 (0.764)	Data 0.001 (0.001)	Loss 1.9028 (1.8994)	Prec@1 53.125 (50.669)	Prec@5 79.688 (80.490)
Epoch: [63][12960/14090]	Time 0.830 (0.764)	Data 0.001 (0.001)	Loss 1.7925 (1.8994)	Prec@1 57.812 (50.670)	Prec@5 83.594 (80.491)
Epoch: [63][12970/14090]	Time 0.732 (0.764)	Data 0.001 (0.001)	Loss 1.8511 (1.8994)	Prec@1 51.562 (50.672)	Prec@5 79.688 (80.492)
Epoch: [63][12980/14090]	Time 0.740 (0.764)	Data 0.001 (0.001)	Loss 2.0939 (1.8994)	Prec@1 49.219 (50.672)	Prec@5 76.562 (80.492)
Epoch: [63][12990/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 1.8711 (1.8994)	Prec@1 50.000 (50.671)	Prec@5 77.344 (80.491)
Epoch: [63][13000/14090]	Time 0.746 (0.764)	Data 0.001 (0.001)	Loss 1.9075 (1.8994)	Prec@1 47.656 (50.672)	Prec@5 80.469 (80.491)
Epoch: [63][13010/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 1.8466 (1.8994)	Prec@1 50.000 (50.672)	Prec@5 80.469 (80.491)
Epoch: [63][13020/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 1.7867 (1.8994)	Prec@1 51.562 (50.672)	Prec@5 83.594 (80.491)
Epoch: [63][13030/14090]	Time 0.879 (0.764)	Data 0.001 (0.001)	Loss 1.7287 (1.8995)	Prec@1 50.000 (50.671)	Prec@5 84.375 (80.490)
Epoch: [63][13040/14090]	Time 0.732 (0.764)	Data 0.001 (0.001)	Loss 2.0322 (1.8995)	Prec@1 50.000 (50.672)	Prec@5 78.125 (80.490)
Epoch: [63][13050/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 1.6366 (1.8995)	Prec@1 56.250 (50.671)	Prec@5 83.594 (80.490)
Epoch: [63][13060/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 1.6715 (1.8995)	Prec@1 56.250 (50.672)	Prec@5 85.156 (80.490)
Epoch: [63][13070/14090]	Time 0.739 (0.764)	Data 0.001 (0.001)	Loss 1.8853 (1.8994)	Prec@1 47.656 (50.673)	Prec@5 82.812 (80.489)
Epoch: [63][13080/14090]	Time 0.724 (0.764)	Data 0.001 (0.001)	Loss 1.9793 (1.8994)	Prec@1 54.688 (50.673)	Prec@5 85.156 (80.491)
Epoch: [63][13090/14090]	Time 0.748 (0.764)	Data 0.001 (0.001)	Loss 1.8252 (1.8994)	Prec@1 53.906 (50.675)	Prec@5 80.469 (80.490)
Epoch: [63][13100/14090]	Time 0.855 (0.764)	Data 0.001 (0.001)	Loss 1.9755 (1.8994)	Prec@1 50.781 (50.675)	Prec@5 78.125 (80.491)
Epoch: [63][13110/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 1.6121 (1.8994)	Prec@1 53.906 (50.675)	Prec@5 89.062 (80.491)
Epoch: [63][13120/14090]	Time 0.761 (0.764)	Data 0.001 (0.001)	Loss 1.9197 (1.8993)	Prec@1 46.875 (50.674)	Prec@5 83.594 (80.493)
Epoch: [63][13130/14090]	Time 0.783 (0.764)	Data 0.001 (0.001)	Loss 2.0024 (1.8994)	Prec@1 50.000 (50.674)	Prec@5 80.469 (80.492)
Epoch: [63][13140/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 1.9584 (1.8994)	Prec@1 48.438 (50.673)	Prec@5 78.125 (80.492)
Epoch: [63][13150/14090]	Time 0.762 (0.764)	Data 0.001 (0.001)	Loss 2.0807 (1.8994)	Prec@1 50.000 (50.674)	Prec@5 78.125 (80.492)
Epoch: [63][13160/14090]	Time 0.729 (0.764)	Data 0.001 (0.001)	Loss 1.9734 (1.8994)	Prec@1 48.438 (50.674)	Prec@5 82.031 (80.492)
Epoch: [63][13170/14090]	Time 0.846 (0.764)	Data 0.001 (0.001)	Loss 1.9205 (1.8994)	Prec@1 46.875 (50.673)	Prec@5 79.688 (80.493)
Epoch: [63][13180/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 1.7634 (1.8993)	Prec@1 54.688 (50.673)	Prec@5 81.250 (80.493)
Epoch: [63][13190/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 2.0102 (1.8994)	Prec@1 47.656 (50.672)	Prec@5 76.562 (80.492)
Epoch: [63][13200/14090]	Time 0.726 (0.764)	Data 0.001 (0.001)	Loss 1.8451 (1.8994)	Prec@1 46.094 (50.671)	Prec@5 81.250 (80.492)
Epoch: [63][13210/14090]	Time 0.761 (0.764)	Data 0.001 (0.001)	Loss 1.7809 (1.8993)	Prec@1 55.469 (50.673)	Prec@5 78.906 (80.493)
Epoch: [63][13220/14090]	Time 0.724 (0.764)	Data 0.001 (0.001)	Loss 1.8988 (1.8993)	Prec@1 49.219 (50.672)	Prec@5 82.031 (80.493)
Epoch: [63][13230/14090]	Time 0.774 (0.764)	Data 0.001 (0.001)	Loss 1.7408 (1.8993)	Prec@1 57.812 (50.673)	Prec@5 81.250 (80.493)
Epoch: [63][13240/14090]	Time 0.841 (0.764)	Data 0.001 (0.001)	Loss 1.9316 (1.8993)	Prec@1 51.562 (50.673)	Prec@5 80.469 (80.493)
Epoch: [63][13250/14090]	Time 0.734 (0.764)	Data 0.001 (0.001)	Loss 1.9164 (1.8993)	Prec@1 49.219 (50.671)	Prec@5 75.781 (80.492)
Epoch: [63][13260/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 1.9784 (1.8993)	Prec@1 47.656 (50.671)	Prec@5 82.812 (80.492)
Epoch: [63][13270/14090]	Time 0.767 (0.764)	Data 0.001 (0.001)	Loss 2.0840 (1.8993)	Prec@1 45.312 (50.672)	Prec@5 75.000 (80.492)
Epoch: [63][13280/14090]	Time 0.780 (0.764)	Data 0.001 (0.001)	Loss 2.0938 (1.8994)	Prec@1 42.969 (50.672)	Prec@5 75.781 (80.490)
Epoch: [63][13290/14090]	Time 0.743 (0.764)	Data 0.001 (0.001)	Loss 1.7140 (1.8994)	Prec@1 52.344 (50.672)	Prec@5 84.375 (80.489)
Epoch: [63][13300/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 2.0632 (1.8994)	Prec@1 49.219 (50.672)	Prec@5 79.688 (80.490)
Epoch: [63][13310/14090]	Time 0.848 (0.764)	Data 0.001 (0.001)	Loss 2.3493 (1.8995)	Prec@1 42.188 (50.672)	Prec@5 73.438 (80.489)
Epoch: [63][13320/14090]	Time 0.761 (0.764)	Data 0.001 (0.001)	Loss 1.7001 (1.8995)	Prec@1 58.594 (50.673)	Prec@5 80.469 (80.489)
Epoch: [63][13330/14090]	Time 0.730 (0.764)	Data 0.001 (0.001)	Loss 1.8947 (1.8995)	Prec@1 50.000 (50.673)	Prec@5 81.250 (80.489)
Epoch: [63][13340/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 1.8699 (1.8996)	Prec@1 50.000 (50.672)	Prec@5 82.031 (80.486)
Epoch: [63][13350/14090]	Time 0.748 (0.764)	Data 0.001 (0.001)	Loss 1.7293 (1.8996)	Prec@1 53.125 (50.671)	Prec@5 81.250 (80.487)
Epoch: [63][13360/14090]	Time 0.759 (0.764)	Data 0.001 (0.001)	Loss 1.9310 (1.8996)	Prec@1 53.125 (50.672)	Prec@5 77.344 (80.487)
Epoch: [63][13370/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 1.8424 (1.8996)	Prec@1 56.250 (50.673)	Prec@5 77.344 (80.486)
Epoch: [63][13380/14090]	Time 0.858 (0.764)	Data 0.001 (0.001)	Loss 2.0750 (1.8995)	Prec@1 46.875 (50.673)	Prec@5 75.781 (80.487)
Epoch: [63][13390/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 1.9116 (1.8995)	Prec@1 52.344 (50.674)	Prec@5 82.812 (80.486)
Epoch: [63][13400/14090]	Time 0.746 (0.764)	Data 0.001 (0.001)	Loss 1.7908 (1.8996)	Prec@1 55.469 (50.673)	Prec@5 81.250 (80.485)
Epoch: [63][13410/14090]	Time 0.774 (0.764)	Data 0.001 (0.001)	Loss 1.8128 (1.8996)	Prec@1 53.125 (50.673)	Prec@5 82.031 (80.485)
Epoch: [63][13420/14090]	Time 0.760 (0.764)	Data 0.001 (0.001)	Loss 1.5659 (1.8995)	Prec@1 53.906 (50.673)	Prec@5 88.281 (80.486)
Epoch: [63][13430/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 1.7912 (1.8995)	Prec@1 50.000 (50.673)	Prec@5 81.250 (80.487)
Epoch: [63][13440/14090]	Time 0.764 (0.764)	Data 0.001 (0.001)	Loss 2.0859 (1.8995)	Prec@1 46.875 (50.674)	Prec@5 73.438 (80.487)
Epoch: [63][13450/14090]	Time 0.883 (0.764)	Data 0.001 (0.001)	Loss 2.1688 (1.8995)	Prec@1 42.188 (50.674)	Prec@5 73.438 (80.487)
Epoch: [63][13460/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 1.8882 (1.8995)	Prec@1 53.906 (50.674)	Prec@5 82.031 (80.487)
Epoch: [63][13470/14090]	Time 0.746 (0.764)	Data 0.001 (0.001)	Loss 1.7150 (1.8994)	Prec@1 53.125 (50.675)	Prec@5 85.156 (80.489)
Epoch: [63][13480/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 1.7274 (1.8994)	Prec@1 53.125 (50.676)	Prec@5 83.594 (80.489)
Epoch: [63][13490/14090]	Time 0.781 (0.764)	Data 0.001 (0.001)	Loss 1.6227 (1.8994)	Prec@1 60.156 (50.676)	Prec@5 88.281 (80.490)
Epoch: [63][13500/14090]	Time 0.762 (0.764)	Data 0.001 (0.001)	Loss 1.7432 (1.8994)	Prec@1 51.562 (50.676)	Prec@5 85.156 (80.490)
Epoch: [63][13510/14090]	Time 0.772 (0.764)	Data 0.001 (0.001)	Loss 1.8114 (1.8994)	Prec@1 50.781 (50.676)	Prec@5 82.031 (80.490)
Epoch: [63][13520/14090]	Time 0.894 (0.764)	Data 0.001 (0.001)	Loss 1.8280 (1.8994)	Prec@1 59.375 (50.677)	Prec@5 82.812 (80.490)
Epoch: [63][13530/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 2.1211 (1.8995)	Prec@1 41.406 (50.675)	Prec@5 75.781 (80.488)
Epoch: [63][13540/14090]	Time 0.730 (0.764)	Data 0.001 (0.001)	Loss 1.7922 (1.8995)	Prec@1 57.812 (50.674)	Prec@5 79.688 (80.489)
Epoch: [63][13550/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 1.9452 (1.8995)	Prec@1 53.125 (50.676)	Prec@5 78.125 (80.489)
Epoch: [63][13560/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 1.7726 (1.8995)	Prec@1 50.000 (50.677)	Prec@5 84.375 (80.491)
Epoch: [63][13570/14090]	Time 0.729 (0.764)	Data 0.001 (0.001)	Loss 1.6645 (1.8994)	Prec@1 59.375 (50.678)	Prec@5 81.250 (80.492)
Epoch: [63][13580/14090]	Time 0.730 (0.764)	Data 0.001 (0.001)	Loss 1.8651 (1.8994)	Prec@1 45.312 (50.677)	Prec@5 78.906 (80.493)
Epoch: [63][13590/14090]	Time 0.911 (0.764)	Data 0.001 (0.001)	Loss 1.9159 (1.8993)	Prec@1 50.000 (50.679)	Prec@5 77.344 (80.495)
Epoch: [63][13600/14090]	Time 0.725 (0.764)	Data 0.001 (0.001)	Loss 1.7882 (1.8993)	Prec@1 52.344 (50.680)	Prec@5 78.906 (80.496)
Epoch: [63][13610/14090]	Time 0.769 (0.764)	Data 0.001 (0.001)	Loss 1.8328 (1.8993)	Prec@1 54.688 (50.679)	Prec@5 82.031 (80.496)
Epoch: [63][13620/14090]	Time 0.740 (0.764)	Data 0.001 (0.001)	Loss 1.7934 (1.8993)	Prec@1 53.125 (50.681)	Prec@5 79.688 (80.496)
Epoch: [63][13630/14090]	Time 0.745 (0.764)	Data 0.001 (0.001)	Loss 1.7729 (1.8992)	Prec@1 52.344 (50.681)	Prec@5 83.594 (80.497)
Epoch: [63][13640/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 1.8182 (1.8992)	Prec@1 50.781 (50.682)	Prec@5 82.812 (80.498)
Epoch: [63][13650/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 1.7976 (1.8992)	Prec@1 57.812 (50.682)	Prec@5 84.375 (80.498)
Epoch: [63][13660/14090]	Time 0.843 (0.764)	Data 0.001 (0.001)	Loss 1.9134 (1.8992)	Prec@1 54.688 (50.682)	Prec@5 81.250 (80.498)
Epoch: [63][13670/14090]	Time 0.736 (0.764)	Data 0.001 (0.001)	Loss 1.8815 (1.8992)	Prec@1 52.344 (50.681)	Prec@5 76.562 (80.497)
Epoch: [63][13680/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 1.9933 (1.8993)	Prec@1 44.531 (50.680)	Prec@5 79.688 (80.496)
Epoch: [63][13690/14090]	Time 0.761 (0.764)	Data 0.001 (0.001)	Loss 1.8426 (1.8993)	Prec@1 57.812 (50.681)	Prec@5 82.031 (80.495)
Epoch: [63][13700/14090]	Time 0.728 (0.764)	Data 0.001 (0.001)	Loss 1.7635 (1.8992)	Prec@1 57.031 (50.682)	Prec@5 78.125 (80.494)
Epoch: [63][13710/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 1.7978 (1.8992)	Prec@1 55.469 (50.682)	Prec@5 85.156 (80.495)
Epoch: [63][13720/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 2.0559 (1.8992)	Prec@1 46.875 (50.683)	Prec@5 77.344 (80.495)
Epoch: [63][13730/14090]	Time 0.856 (0.764)	Data 0.001 (0.001)	Loss 2.0933 (1.8993)	Prec@1 53.906 (50.683)	Prec@5 78.125 (80.494)
Epoch: [63][13740/14090]	Time 0.761 (0.764)	Data 0.001 (0.001)	Loss 2.0826 (1.8992)	Prec@1 46.094 (50.685)	Prec@5 78.906 (80.494)
Epoch: [63][13750/14090]	Time 0.749 (0.764)	Data 0.002 (0.001)	Loss 1.8974 (1.8992)	Prec@1 53.125 (50.684)	Prec@5 78.125 (80.493)
Epoch: [63][13760/14090]	Time 0.744 (0.764)	Data 0.001 (0.001)	Loss 2.0226 (1.8993)	Prec@1 50.000 (50.684)	Prec@5 81.250 (80.493)
Epoch: [63][13770/14090]	Time 0.743 (0.764)	Data 0.001 (0.001)	Loss 1.9095 (1.8992)	Prec@1 52.344 (50.687)	Prec@5 82.031 (80.495)
Epoch: [63][13780/14090]	Time 0.745 (0.764)	Data 0.001 (0.001)	Loss 1.9331 (1.8991)	Prec@1 49.219 (50.688)	Prec@5 79.688 (80.495)
Epoch: [63][13790/14090]	Time 0.763 (0.764)	Data 0.001 (0.001)	Loss 1.8017 (1.8991)	Prec@1 52.344 (50.688)	Prec@5 83.594 (80.495)
Epoch: [63][13800/14090]	Time 0.871 (0.764)	Data 0.001 (0.001)	Loss 2.0530 (1.8992)	Prec@1 48.438 (50.687)	Prec@5 75.000 (80.493)
Epoch: [63][13810/14090]	Time 0.726 (0.764)	Data 0.001 (0.001)	Loss 1.8503 (1.8991)	Prec@1 56.250 (50.689)	Prec@5 82.812 (80.494)
Epoch: [63][13820/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 1.8497 (1.8991)	Prec@1 57.031 (50.689)	Prec@5 84.375 (80.495)
Epoch: [63][13830/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 1.7153 (1.8991)	Prec@1 55.469 (50.689)	Prec@5 81.250 (80.494)
Epoch: [63][13840/14090]	Time 0.724 (0.764)	Data 0.001 (0.001)	Loss 2.3080 (1.8992)	Prec@1 45.312 (50.687)	Prec@5 71.875 (80.494)
Epoch: [63][13850/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 2.0095 (1.8992)	Prec@1 42.188 (50.685)	Prec@5 80.469 (80.493)
Epoch: [63][13860/14090]	Time 0.773 (0.764)	Data 0.001 (0.001)	Loss 2.0046 (1.8992)	Prec@1 53.906 (50.685)	Prec@5 78.125 (80.493)
Epoch: [63][13870/14090]	Time 0.882 (0.764)	Data 0.001 (0.001)	Loss 2.1083 (1.8992)	Prec@1 46.094 (50.686)	Prec@5 79.688 (80.493)
Epoch: [63][13880/14090]	Time 0.732 (0.764)	Data 0.001 (0.001)	Loss 1.8474 (1.8993)	Prec@1 52.344 (50.686)	Prec@5 78.906 (80.492)
Epoch: [63][13890/14090]	Time 0.764 (0.764)	Data 0.001 (0.001)	Loss 2.0020 (1.8993)	Prec@1 47.656 (50.686)	Prec@5 79.688 (80.491)
Epoch: [63][13900/14090]	Time 0.761 (0.764)	Data 0.001 (0.001)	Loss 1.9307 (1.8993)	Prec@1 46.875 (50.683)	Prec@5 78.906 (80.491)
Epoch: [63][13910/14090]	Time 0.790 (0.764)	Data 0.001 (0.001)	Loss 1.9880 (1.8993)	Prec@1 46.094 (50.684)	Prec@5 75.781 (80.490)
Epoch: [63][13920/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 2.0408 (1.8993)	Prec@1 49.219 (50.685)	Prec@5 75.781 (80.490)
Epoch: [63][13930/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 1.8307 (1.8993)	Prec@1 48.438 (50.686)	Prec@5 81.250 (80.490)
Epoch: [63][13940/14090]	Time 0.861 (0.764)	Data 0.001 (0.001)	Loss 1.5099 (1.8993)	Prec@1 57.812 (50.687)	Prec@5 86.719 (80.491)
Epoch: [63][13950/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 1.8564 (1.8992)	Prec@1 55.469 (50.686)	Prec@5 81.250 (80.492)
Epoch: [63][13960/14090]	Time 0.744 (0.764)	Data 0.001 (0.001)	Loss 1.7640 (1.8992)	Prec@1 54.688 (50.687)	Prec@5 85.156 (80.493)
Epoch: [63][13970/14090]	Time 0.739 (0.764)	Data 0.001 (0.001)	Loss 1.6595 (1.8992)	Prec@1 51.562 (50.687)	Prec@5 87.500 (80.494)
Epoch: [63][13980/14090]	Time 0.727 (0.764)	Data 0.001 (0.001)	Loss 1.8135 (1.8992)	Prec@1 53.906 (50.687)	Prec@5 78.906 (80.494)
Epoch: [63][13990/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 1.6054 (1.8992)	Prec@1 60.156 (50.687)	Prec@5 82.031 (80.494)
Epoch: [63][14000/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 1.6998 (1.8992)	Prec@1 53.906 (50.687)	Prec@5 83.594 (80.494)
Epoch: [63][14010/14090]	Time 0.838 (0.764)	Data 0.001 (0.001)	Loss 1.7501 (1.8991)	Prec@1 47.656 (50.688)	Prec@5 82.812 (80.495)
Epoch: [63][14020/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 1.7606 (1.8991)	Prec@1 51.562 (50.689)	Prec@5 84.375 (80.495)
Epoch: [63][14030/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 2.0836 (1.8992)	Prec@1 46.094 (50.687)	Prec@5 76.562 (80.494)
Epoch: [63][14040/14090]	Time 0.772 (0.764)	Data 0.001 (0.001)	Loss 1.9138 (1.8992)	Prec@1 52.344 (50.686)	Prec@5 81.250 (80.494)
Epoch: [63][14050/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 1.8374 (1.8992)	Prec@1 49.219 (50.686)	Prec@5 80.469 (80.495)
Epoch: [63][14060/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 1.8341 (1.8991)	Prec@1 47.656 (50.687)	Prec@5 82.812 (80.495)
Epoch: [63][14070/14090]	Time 0.760 (0.764)	Data 0.001 (0.001)	Loss 1.6618 (1.8991)	Prec@1 54.688 (50.688)	Prec@5 81.250 (80.496)
Epoch: [63][14080/14090]	Time 0.832 (0.764)	Data 0.000 (0.001)	Loss 1.7351 (1.8991)	Prec@1 54.688 (50.688)	Prec@5 85.156 (80.497)
Test: [0/286]	Time 5.245 (5.245)	Loss 1.2850 (1.2850)	Prec@1 57.812 (57.812)	Prec@5 96.094 (96.094)
Test: [10/286]	Time 0.235 (0.874)	Loss 1.6991 (1.7821)	Prec@1 52.344 (52.060)	Prec@5 90.625 (85.014)
Test: [20/286]	Time 0.235 (0.671)	Loss 1.3624 (1.6983)	Prec@1 62.500 (54.055)	Prec@5 91.406 (86.124)
Test: [30/286]	Time 0.230 (0.598)	Loss 1.7110 (1.6152)	Prec@1 56.250 (56.981)	Prec@5 84.375 (86.542)
Test: [40/286]	Time 2.012 (0.604)	Loss 1.5419 (1.6144)	Prec@1 52.344 (57.050)	Prec@5 89.844 (86.662)
Test: [50/286]	Time 0.230 (0.572)	Loss 0.4478 (1.6119)	Prec@1 92.188 (56.832)	Prec@5 96.094 (86.780)
Test: [60/286]	Time 0.234 (0.554)	Loss 2.5919 (1.6440)	Prec@1 39.062 (56.340)	Prec@5 70.312 (85.694)
Test: [70/286]	Time 0.230 (0.538)	Loss 1.1170 (1.6249)	Prec@1 75.000 (56.734)	Prec@5 94.531 (85.971)
Test: [80/286]	Time 2.235 (0.552)	Loss 1.7612 (1.6659)	Prec@1 46.875 (55.372)	Prec@5 85.938 (85.446)
Test: [90/286]	Time 0.234 (0.541)	Loss 1.8437 (1.6792)	Prec@1 48.438 (55.177)	Prec@5 87.500 (85.285)
Test: [100/286]	Time 0.229 (0.532)	Loss 2.2553 (1.6925)	Prec@1 32.031 (54.486)	Prec@5 80.469 (85.257)
Test: [110/286]	Time 0.236 (0.524)	Loss 2.2878 (1.7080)	Prec@1 43.750 (54.174)	Prec@5 76.562 (85.163)
Test: [120/286]	Time 1.534 (0.529)	Loss 1.5068 (1.6958)	Prec@1 64.062 (54.571)	Prec@5 80.469 (85.240)
Test: [130/286]	Time 0.301 (0.529)	Loss 0.9282 (1.6904)	Prec@1 71.094 (54.717)	Prec@5 95.312 (85.240)
Test: [140/286]	Time 0.237 (0.523)	Loss 2.2360 (1.6873)	Prec@1 50.781 (54.881)	Prec@5 71.094 (85.167)
Test: [150/286]	Time 0.224 (0.518)	Loss 2.5946 (1.6991)	Prec@1 31.250 (54.398)	Prec@5 76.562 (85.099)
Test: [160/286]	Time 0.891 (0.518)	Loss 2.5269 (1.6949)	Prec@1 31.250 (54.518)	Prec@5 75.000 (85.190)
Test: [170/286]	Time 0.244 (0.521)	Loss 2.0082 (1.6887)	Prec@1 46.875 (54.605)	Prec@5 81.250 (85.293)
Test: [180/286]	Time 0.250 (0.517)	Loss 1.8089 (1.7009)	Prec@1 59.375 (54.321)	Prec@5 82.031 (85.135)
Test: [190/286]	Time 0.228 (0.512)	Loss 2.8556 (1.7192)	Prec@1 17.188 (53.816)	Prec@5 73.438 (84.944)
Test: [200/286]	Time 0.944 (0.513)	Loss 1.8332 (1.7135)	Prec@1 58.594 (54.015)	Prec@5 85.156 (84.950)
Test: [210/286]	Time 0.363 (0.514)	Loss 1.9762 (1.7183)	Prec@1 46.875 (53.880)	Prec@5 82.812 (84.856)
Test: [220/286]	Time 0.286 (0.511)	Loss 2.6868 (1.7227)	Prec@1 24.219 (53.874)	Prec@5 70.312 (84.697)
Test: [230/286]	Time 0.725 (0.511)	Loss 1.1958 (1.7215)	Prec@1 64.844 (53.927)	Prec@5 87.500 (84.669)
Test: [240/286]	Time 0.696 (0.510)	Loss 1.7508 (1.7190)	Prec@1 55.469 (54.013)	Prec@5 84.375 (84.709)
Test: [250/286]	Time 0.617 (0.512)	Loss 1.8539 (1.7121)	Prec@1 47.656 (54.043)	Prec@5 81.250 (84.857)
Test: [260/286]	Time 0.228 (0.509)	Loss 1.5164 (1.7036)	Prec@1 58.594 (54.295)	Prec@5 89.062 (85.034)
Test: [270/286]	Time 0.703 (0.509)	Loss 1.3001 (1.7049)	Prec@1 63.281 (54.267)	Prec@5 92.188 (85.047)
Test: [280/286]	Time 0.273 (0.508)	Loss 1.7320 (1.6916)	Prec@1 59.375 (54.743)	Prec@5 89.844 (85.159)
 * Prec@1 54.827 Prec@5 85.152
Epoch: [64][0/14090]	Time 6.519 (6.519)	Data 5.753 (5.753)	Loss 2.0775 (2.0775)	Prec@1 46.875 (46.875)	Prec@5 76.562 (76.562)
Epoch: [64][10/14090]	Time 0.721 (1.270)	Data 0.001 (0.524)	Loss 2.0112 (1.9195)	Prec@1 46.094 (50.568)	Prec@5 77.344 (79.901)
Epoch: [64][20/14090]	Time 0.722 (1.017)	Data 0.001 (0.275)	Loss 1.8284 (1.9123)	Prec@1 49.219 (50.707)	Prec@5 79.688 (80.432)
Epoch: [64][30/14090]	Time 0.752 (0.936)	Data 0.001 (0.186)	Loss 1.8312 (1.9092)	Prec@1 56.250 (50.353)	Prec@5 82.031 (80.318)
Epoch: [64][40/14090]	Time 0.758 (0.893)	Data 0.001 (0.141)	Loss 1.6496 (1.8952)	Prec@1 57.031 (50.686)	Prec@5 82.812 (80.583)
Epoch: [64][50/14090]	Time 0.840 (0.867)	Data 0.001 (0.114)	Loss 1.9718 (1.8804)	Prec@1 49.219 (50.567)	Prec@5 76.562 (80.775)
Epoch: [64][60/14090]	Time 0.759 (0.849)	Data 0.001 (0.095)	Loss 1.7980 (1.8778)	Prec@1 48.438 (50.487)	Prec@5 80.469 (80.686)
Epoch: [64][70/14090]	Time 0.751 (0.836)	Data 0.001 (0.082)	Loss 1.7980 (1.8809)	Prec@1 52.344 (50.385)	Prec@5 76.562 (80.579)
Epoch: [64][80/14090]	Time 0.743 (0.828)	Data 0.001 (0.072)	Loss 1.7596 (1.8785)	Prec@1 60.156 (50.685)	Prec@5 83.594 (80.710)
Epoch: [64][90/14090]	Time 0.730 (0.820)	Data 0.001 (0.064)	Loss 1.7430 (1.8783)	Prec@1 50.000 (50.644)	Prec@5 87.500 (80.709)
Epoch: [64][100/14090]	Time 0.758 (0.816)	Data 0.001 (0.058)	Loss 1.7464 (1.8748)	Prec@1 56.250 (50.835)	Prec@5 82.812 (80.701)
Epoch: [64][110/14090]	Time 0.740 (0.811)	Data 0.001 (0.053)	Loss 1.9475 (1.8771)	Prec@1 48.438 (50.823)	Prec@5 80.469 (80.708)
Epoch: [64][120/14090]	Time 0.872 (0.808)	Data 0.001 (0.048)	Loss 1.5494 (1.8770)	Prec@1 60.938 (50.820)	Prec@5 86.719 (80.837)
Epoch: [64][130/14090]	Time 0.756 (0.804)	Data 0.001 (0.045)	Loss 1.8735 (1.8839)	Prec@1 53.125 (50.686)	Prec@5 78.125 (80.755)
Epoch: [64][140/14090]	Time 0.747 (0.801)	Data 0.001 (0.042)	Loss 1.9497 (1.8799)	Prec@1 51.562 (50.803)	Prec@5 78.906 (80.779)
Epoch: [64][150/14090]	Time 0.729 (0.799)	Data 0.001 (0.039)	Loss 1.9768 (1.8856)	Prec@1 50.000 (50.724)	Prec@5 77.344 (80.665)
Epoch: [64][160/14090]	Time 0.771 (0.797)	Data 0.001 (0.037)	Loss 2.0033 (1.8846)	Prec@1 44.531 (50.718)	Prec@5 81.250 (80.673)
Epoch: [64][170/14090]	Time 0.748 (0.797)	Data 0.001 (0.034)	Loss 2.0219 (1.8819)	Prec@1 46.094 (50.809)	Prec@5 81.250 (80.670)
Epoch: [64][180/14090]	Time 0.755 (0.795)	Data 0.001 (0.033)	Loss 1.7363 (1.8813)	Prec@1 55.469 (50.950)	Prec@5 81.250 (80.745)
Epoch: [64][190/14090]	Time 0.905 (0.794)	Data 0.001 (0.031)	Loss 2.0264 (1.8809)	Prec@1 47.656 (50.937)	Prec@5 78.906 (80.788)
Epoch: [64][200/14090]	Time 0.747 (0.792)	Data 0.001 (0.029)	Loss 2.1461 (1.8843)	Prec@1 45.312 (50.820)	Prec@5 76.562 (80.729)
Epoch: [64][210/14090]	Time 0.732 (0.790)	Data 0.001 (0.028)	Loss 1.9339 (1.8859)	Prec@1 47.656 (50.892)	Prec@5 80.469 (80.728)
Epoch: [64][220/14090]	Time 0.783 (0.789)	Data 0.001 (0.027)	Loss 2.0342 (1.8844)	Prec@1 48.438 (50.937)	Prec@5 82.031 (80.730)
Epoch: [64][230/14090]	Time 0.773 (0.788)	Data 0.001 (0.026)	Loss 1.6581 (1.8818)	Prec@1 50.000 (50.950)	Prec@5 85.938 (80.760)
Epoch: [64][240/14090]	Time 0.730 (0.787)	Data 0.001 (0.025)	Loss 1.8297 (1.8800)	Prec@1 53.125 (50.895)	Prec@5 79.688 (80.816)
Epoch: [64][250/14090]	Time 0.737 (0.786)	Data 0.001 (0.024)	Loss 1.8453 (1.8811)	Prec@1 52.344 (50.924)	Prec@5 83.594 (80.796)
Epoch: [64][260/14090]	Time 0.844 (0.786)	Data 0.001 (0.023)	Loss 1.8969 (1.8837)	Prec@1 51.562 (50.859)	Prec@5 82.031 (80.741)
Epoch: [64][270/14090]	Time 0.741 (0.785)	Data 0.001 (0.022)	Loss 1.6646 (1.8835)	Prec@1 55.469 (50.842)	Prec@5 83.594 (80.734)
Epoch: [64][280/14090]	Time 0.728 (0.784)	Data 0.001 (0.021)	Loss 1.8276 (1.8803)	Prec@1 53.125 (50.973)	Prec@5 79.688 (80.744)
Epoch: [64][290/14090]	Time 0.753 (0.784)	Data 0.001 (0.021)	Loss 1.9532 (1.8819)	Prec@1 48.438 (50.964)	Prec@5 78.906 (80.692)
Epoch: [64][300/14090]	Time 0.747 (0.784)	Data 0.001 (0.020)	Loss 1.8527 (1.8807)	Prec@1 52.344 (51.028)	Prec@5 82.812 (80.689)
Epoch: [64][310/14090]	Time 0.739 (0.783)	Data 0.001 (0.019)	Loss 1.8501 (1.8809)	Prec@1 51.562 (50.990)	Prec@5 81.250 (80.670)
Epoch: [64][320/14090]	Time 0.739 (0.782)	Data 0.001 (0.019)	Loss 1.8882 (1.8822)	Prec@1 53.125 (50.974)	Prec@5 81.250 (80.651)
Epoch: [64][330/14090]	Time 0.872 (0.782)	Data 0.001 (0.018)	Loss 1.8991 (1.8807)	Prec@1 53.906 (51.013)	Prec@5 82.031 (80.674)
Epoch: [64][340/14090]	Time 0.725 (0.781)	Data 0.001 (0.018)	Loss 1.8287 (1.8778)	Prec@1 50.781 (51.063)	Prec@5 83.594 (80.702)
Epoch: [64][350/14090]	Time 0.726 (0.781)	Data 0.001 (0.017)	Loss 2.0470 (1.8771)	Prec@1 39.844 (51.066)	Prec@5 80.469 (80.734)
Epoch: [64][360/14090]	Time 0.772 (0.780)	Data 0.001 (0.017)	Loss 1.8736 (1.8772)	Prec@1 50.000 (51.056)	Prec@5 78.906 (80.720)
Epoch: [64][370/14090]	Time 0.756 (0.780)	Data 0.001 (0.016)	Loss 1.8571 (1.8768)	Prec@1 53.906 (51.061)	Prec@5 80.469 (80.724)
Epoch: [64][380/14090]	Time 0.738 (0.779)	Data 0.001 (0.016)	Loss 1.8488 (1.8790)	Prec@1 54.688 (51.025)	Prec@5 78.906 (80.700)
Epoch: [64][390/14090]	Time 0.754 (0.779)	Data 0.001 (0.016)	Loss 1.6068 (1.8776)	Prec@1 57.812 (50.997)	Prec@5 87.500 (80.721)
Epoch: [64][400/14090]	Time 0.844 (0.779)	Data 0.001 (0.015)	Loss 1.9337 (1.8752)	Prec@1 54.688 (51.070)	Prec@5 81.250 (80.790)
Epoch: [64][410/14090]	Time 0.732 (0.778)	Data 0.001 (0.015)	Loss 1.8556 (1.8734)	Prec@1 52.344 (51.114)	Prec@5 81.250 (80.820)
Epoch: [64][420/14090]	Time 0.741 (0.778)	Data 0.001 (0.014)	Loss 1.9003 (1.8721)	Prec@1 50.781 (51.143)	Prec@5 81.250 (80.838)
Epoch: [64][430/14090]	Time 0.771 (0.778)	Data 0.001 (0.014)	Loss 1.5285 (1.8724)	Prec@1 57.812 (51.138)	Prec@5 86.719 (80.839)
Epoch: [64][440/14090]	Time 0.739 (0.777)	Data 0.001 (0.014)	Loss 2.1205 (1.8727)	Prec@1 41.406 (51.127)	Prec@5 75.000 (80.812)
Epoch: [64][450/14090]	Time 0.723 (0.777)	Data 0.001 (0.014)	Loss 1.7972 (1.8742)	Prec@1 54.688 (51.123)	Prec@5 83.594 (80.791)
Epoch: [64][460/14090]	Time 0.734 (0.777)	Data 0.001 (0.013)	Loss 1.9236 (1.8754)	Prec@1 50.000 (51.068)	Prec@5 82.031 (80.787)
Epoch: [64][470/14090]	Time 0.869 (0.777)	Data 0.001 (0.013)	Loss 1.8263 (1.8755)	Prec@1 52.344 (51.125)	Prec@5 82.031 (80.774)
Epoch: [64][480/14090]	Time 0.764 (0.776)	Data 0.001 (0.013)	Loss 1.7556 (1.8765)	Prec@1 58.594 (51.124)	Prec@5 83.594 (80.742)
Epoch: [64][490/14090]	Time 0.742 (0.776)	Data 0.001 (0.013)	Loss 1.9878 (1.8767)	Prec@1 46.875 (51.099)	Prec@5 75.000 (80.736)
Epoch: [64][500/14090]	Time 0.741 (0.776)	Data 0.001 (0.012)	Loss 1.8971 (1.8772)	Prec@1 51.562 (51.115)	Prec@5 82.031 (80.739)
Epoch: [64][510/14090]	Time 0.786 (0.776)	Data 0.001 (0.012)	Loss 1.8130 (1.8784)	Prec@1 52.344 (51.082)	Prec@5 82.812 (80.723)
Epoch: [64][520/14090]	Time 0.743 (0.776)	Data 0.001 (0.012)	Loss 1.8554 (1.8776)	Prec@1 50.000 (51.090)	Prec@5 82.812 (80.755)
Epoch: [64][530/14090]	Time 0.747 (0.775)	Data 0.001 (0.012)	Loss 1.7535 (1.8761)	Prec@1 52.344 (51.105)	Prec@5 82.031 (80.785)
Epoch: [64][540/14090]	Time 0.869 (0.775)	Data 0.001 (0.011)	Loss 1.9039 (1.8758)	Prec@1 45.312 (51.111)	Prec@5 82.031 (80.802)
Epoch: [64][550/14090]	Time 0.742 (0.775)	Data 0.001 (0.011)	Loss 1.8018 (1.8756)	Prec@1 55.469 (51.140)	Prec@5 85.938 (80.849)
Epoch: [64][560/14090]	Time 0.753 (0.775)	Data 0.001 (0.011)	Loss 1.6819 (1.8752)	Prec@1 53.125 (51.160)	Prec@5 86.719 (80.870)
Epoch: [64][570/14090]	Time 0.762 (0.775)	Data 0.001 (0.011)	Loss 1.6545 (1.8754)	Prec@1 54.688 (51.164)	Prec@5 85.938 (80.872)
Epoch: [64][580/14090]	Time 0.763 (0.774)	Data 0.001 (0.011)	Loss 1.7487 (1.8754)	Prec@1 52.344 (51.169)	Prec@5 85.156 (80.878)
Epoch: [64][590/14090]	Time 0.737 (0.775)	Data 0.001 (0.011)	Loss 2.0370 (1.8757)	Prec@1 50.781 (51.170)	Prec@5 74.219 (80.857)
Epoch: [64][600/14090]	Time 0.760 (0.774)	Data 0.001 (0.010)	Loss 2.0235 (1.8761)	Prec@1 50.781 (51.180)	Prec@5 82.812 (80.856)
Epoch: [64][610/14090]	Time 0.893 (0.775)	Data 0.001 (0.010)	Loss 1.8903 (1.8757)	Prec@1 46.875 (51.187)	Prec@5 82.031 (80.882)
Epoch: [64][620/14090]	Time 0.760 (0.774)	Data 0.001 (0.010)	Loss 1.8836 (1.8748)	Prec@1 51.562 (51.210)	Prec@5 81.250 (80.905)
Epoch: [64][630/14090]	Time 0.754 (0.774)	Data 0.001 (0.010)	Loss 1.8405 (1.8754)	Prec@1 52.344 (51.211)	Prec@5 81.250 (80.905)
Epoch: [64][640/14090]	Time 0.741 (0.774)	Data 0.001 (0.010)	Loss 2.0670 (1.8764)	Prec@1 44.531 (51.177)	Prec@5 81.250 (80.911)
Epoch: [64][650/14090]	Time 0.736 (0.774)	Data 0.001 (0.010)	Loss 1.9914 (1.8761)	Prec@1 52.344 (51.188)	Prec@5 75.781 (80.909)
Epoch: [64][660/14090]	Time 0.771 (0.774)	Data 0.001 (0.010)	Loss 2.0152 (1.8769)	Prec@1 49.219 (51.175)	Prec@5 76.562 (80.901)
Epoch: [64][670/14090]	Time 0.755 (0.774)	Data 0.001 (0.009)	Loss 1.6161 (1.8766)	Prec@1 53.906 (51.164)	Prec@5 83.594 (80.917)
Epoch: [64][680/14090]	Time 0.846 (0.774)	Data 0.001 (0.009)	Loss 2.1294 (1.8766)	Prec@1 46.875 (51.144)	Prec@5 73.438 (80.910)
Epoch: [64][690/14090]	Time 0.741 (0.773)	Data 0.001 (0.009)	Loss 2.0769 (1.8779)	Prec@1 44.531 (51.097)	Prec@5 73.438 (80.884)
Epoch: [64][700/14090]	Time 0.751 (0.773)	Data 0.001 (0.009)	Loss 2.0703 (1.8776)	Prec@1 48.438 (51.127)	Prec@5 72.656 (80.876)
Epoch: [64][710/14090]	Time 0.778 (0.773)	Data 0.001 (0.009)	Loss 1.7210 (1.8779)	Prec@1 57.812 (51.110)	Prec@5 82.031 (80.857)
Epoch: [64][720/14090]	Time 0.749 (0.773)	Data 0.001 (0.009)	Loss 1.8519 (1.8772)	Prec@1 44.531 (51.120)	Prec@5 82.031 (80.879)
Epoch: [64][730/14090]	Time 0.752 (0.773)	Data 0.001 (0.009)	Loss 1.5051 (1.8769)	Prec@1 54.688 (51.107)	Prec@5 89.062 (80.911)
Epoch: [64][740/14090]	Time 0.746 (0.773)	Data 0.001 (0.009)	Loss 1.9814 (1.8779)	Prec@1 53.125 (51.104)	Prec@5 76.562 (80.895)
Epoch: [64][750/14090]	Time 0.931 (0.773)	Data 0.001 (0.008)	Loss 2.1374 (1.8773)	Prec@1 50.781 (51.110)	Prec@5 76.562 (80.902)
Epoch: [64][760/14090]	Time 0.732 (0.773)	Data 0.003 (0.008)	Loss 1.8895 (1.8765)	Prec@1 49.219 (51.126)	Prec@5 79.688 (80.924)
Epoch: [64][770/14090]	Time 0.742 (0.773)	Data 0.001 (0.008)	Loss 1.7247 (1.8758)	Prec@1 48.438 (51.133)	Prec@5 82.812 (80.952)
Epoch: [64][780/14090]	Time 0.768 (0.773)	Data 0.001 (0.008)	Loss 1.7408 (1.8768)	Prec@1 52.344 (51.108)	Prec@5 84.375 (80.917)
Epoch: [64][790/14090]	Time 0.719 (0.773)	Data 0.001 (0.008)	Loss 2.1524 (1.8766)	Prec@1 46.094 (51.111)	Prec@5 75.781 (80.915)
Epoch: [64][800/14090]	Time 0.731 (0.773)	Data 0.001 (0.008)	Loss 1.7351 (1.8754)	Prec@1 52.344 (51.148)	Prec@5 82.812 (80.930)
Epoch: [64][810/14090]	Time 0.764 (0.773)	Data 0.001 (0.008)	Loss 1.8039 (1.8765)	Prec@1 53.125 (51.148)	Prec@5 77.344 (80.911)
Epoch: [64][820/14090]	Time 0.846 (0.773)	Data 0.001 (0.008)	Loss 1.9643 (1.8760)	Prec@1 49.219 (51.147)	Prec@5 79.688 (80.906)
Epoch: [64][830/14090]	Time 0.742 (0.772)	Data 0.001 (0.008)	Loss 2.0427 (1.8758)	Prec@1 42.188 (51.154)	Prec@5 81.250 (80.907)
Epoch: [64][840/14090]	Time 0.737 (0.772)	Data 0.001 (0.008)	Loss 1.7252 (1.8763)	Prec@1 60.156 (51.136)	Prec@5 82.031 (80.900)
Epoch: [64][850/14090]	Time 0.735 (0.772)	Data 0.001 (0.008)	Loss 1.9360 (1.8763)	Prec@1 52.344 (51.145)	Prec@5 78.125 (80.898)
Epoch: [64][860/14090]	Time 0.757 (0.772)	Data 0.001 (0.008)	Loss 1.8298 (1.8762)	Prec@1 49.219 (51.143)	Prec@5 78.906 (80.883)
Epoch: [64][870/14090]	Time 0.727 (0.772)	Data 0.001 (0.007)	Loss 1.9392 (1.8766)	Prec@1 47.656 (51.141)	Prec@5 78.125 (80.874)
Epoch: [64][880/14090]	Time 0.738 (0.772)	Data 0.001 (0.007)	Loss 2.0838 (1.8765)	Prec@1 48.438 (51.147)	Prec@5 78.906 (80.879)
Epoch: [64][890/14090]	Time 0.840 (0.772)	Data 0.001 (0.007)	Loss 1.7061 (1.8772)	Prec@1 53.125 (51.140)	Prec@5 87.500 (80.864)
Epoch: [64][900/14090]	Time 0.767 (0.772)	Data 0.001 (0.007)	Loss 2.0106 (1.8770)	Prec@1 47.656 (51.150)	Prec@5 77.344 (80.874)
Epoch: [64][910/14090]	Time 0.758 (0.772)	Data 0.001 (0.007)	Loss 1.8680 (1.8775)	Prec@1 46.875 (51.151)	Prec@5 83.594 (80.862)
Epoch: [64][920/14090]	Time 0.761 (0.772)	Data 0.001 (0.007)	Loss 1.9737 (1.8782)	Prec@1 50.000 (51.125)	Prec@5 79.688 (80.839)
Epoch: [64][930/14090]	Time 0.728 (0.772)	Data 0.001 (0.007)	Loss 1.8176 (1.8789)	Prec@1 52.344 (51.133)	Prec@5 85.156 (80.830)
Epoch: [64][940/14090]	Time 0.761 (0.772)	Data 0.001 (0.007)	Loss 2.0774 (1.8794)	Prec@1 47.656 (51.122)	Prec@5 78.125 (80.827)
Epoch: [64][950/14090]	Time 0.762 (0.772)	Data 0.001 (0.007)	Loss 1.7115 (1.8795)	Prec@1 50.781 (51.111)	Prec@5 82.812 (80.829)
Epoch: [64][960/14090]	Time 0.856 (0.772)	Data 0.001 (0.007)	Loss 1.9361 (1.8802)	Prec@1 50.781 (51.116)	Prec@5 78.125 (80.813)
Epoch: [64][970/14090]	Time 0.759 (0.771)	Data 0.001 (0.007)	Loss 1.8210 (1.8800)	Prec@1 55.469 (51.129)	Prec@5 84.375 (80.805)
Epoch: [64][980/14090]	Time 0.770 (0.771)	Data 0.001 (0.007)	Loss 1.8329 (1.8810)	Prec@1 52.344 (51.113)	Prec@5 84.375 (80.787)
Epoch: [64][990/14090]	Time 0.745 (0.772)	Data 0.001 (0.007)	Loss 2.2337 (1.8815)	Prec@1 41.406 (51.096)	Prec@5 76.562 (80.776)
Epoch: [64][1000/14090]	Time 0.737 (0.772)	Data 0.001 (0.007)	Loss 1.7765 (1.8807)	Prec@1 57.031 (51.132)	Prec@5 84.375 (80.786)
Epoch: [64][1010/14090]	Time 0.741 (0.771)	Data 0.001 (0.007)	Loss 1.9772 (1.8808)	Prec@1 52.344 (51.143)	Prec@5 82.812 (80.788)
Epoch: [64][1020/14090]	Time 0.750 (0.771)	Data 0.001 (0.006)	Loss 1.8889 (1.8808)	Prec@1 46.094 (51.132)	Prec@5 80.469 (80.784)
Epoch: [64][1030/14090]	Time 0.879 (0.772)	Data 0.001 (0.006)	Loss 1.7259 (1.8815)	Prec@1 56.250 (51.128)	Prec@5 83.594 (80.773)
Epoch: [64][1040/14090]	Time 0.732 (0.771)	Data 0.001 (0.006)	Loss 1.6789 (1.8809)	Prec@1 58.594 (51.149)	Prec@5 85.938 (80.776)
Epoch: [64][1050/14090]	Time 0.774 (0.771)	Data 0.001 (0.006)	Loss 1.8618 (1.8812)	Prec@1 50.000 (51.132)	Prec@5 84.375 (80.770)
Epoch: [64][1060/14090]	Time 0.738 (0.771)	Data 0.001 (0.006)	Loss 1.7094 (1.8809)	Prec@1 58.594 (51.142)	Prec@5 79.688 (80.763)
Epoch: [64][1070/14090]	Time 0.742 (0.771)	Data 0.001 (0.006)	Loss 1.8471 (1.8809)	Prec@1 53.125 (51.134)	Prec@5 82.031 (80.769)
Epoch: [64][1080/14090]	Time 0.733 (0.771)	Data 0.001 (0.006)	Loss 1.9109 (1.8809)	Prec@1 48.438 (51.130)	Prec@5 79.688 (80.762)
Epoch: [64][1090/14090]	Time 0.723 (0.771)	Data 0.001 (0.006)	Loss 1.7369 (1.8807)	Prec@1 50.781 (51.129)	Prec@5 81.250 (80.761)
Epoch: [64][1100/14090]	Time 0.892 (0.771)	Data 0.002 (0.006)	Loss 1.7896 (1.8804)	Prec@1 50.000 (51.135)	Prec@5 82.812 (80.763)
Epoch: [64][1110/14090]	Time 0.730 (0.771)	Data 0.001 (0.006)	Loss 2.1027 (1.8805)	Prec@1 41.406 (51.134)	Prec@5 75.781 (80.759)
Epoch: [64][1120/14090]	Time 0.768 (0.771)	Data 0.001 (0.006)	Loss 1.9655 (1.8807)	Prec@1 51.562 (51.126)	Prec@5 82.812 (80.772)
Epoch: [64][1130/14090]	Time 0.745 (0.771)	Data 0.001 (0.006)	Loss 2.3805 (1.8816)	Prec@1 40.625 (51.108)	Prec@5 70.312 (80.753)
Epoch: [64][1140/14090]	Time 0.747 (0.771)	Data 0.001 (0.006)	Loss 2.0864 (1.8817)	Prec@1 45.312 (51.107)	Prec@5 75.000 (80.752)
Epoch: [64][1150/14090]	Time 0.759 (0.771)	Data 0.001 (0.006)	Loss 1.7297 (1.8820)	Prec@1 53.906 (51.087)	Prec@5 83.594 (80.741)
Epoch: [64][1160/14090]	Time 0.738 (0.771)	Data 0.001 (0.006)	Loss 1.7842 (1.8820)	Prec@1 54.688 (51.093)	Prec@5 78.906 (80.733)
Epoch: [64][1170/14090]	Time 0.860 (0.771)	Data 0.001 (0.006)	Loss 1.9716 (1.8826)	Prec@1 37.500 (51.065)	Prec@5 83.594 (80.722)
Epoch: [64][1180/14090]	Time 0.754 (0.771)	Data 0.001 (0.006)	Loss 1.6159 (1.8825)	Prec@1 53.906 (51.060)	Prec@5 84.375 (80.728)
Epoch: [64][1190/14090]	Time 0.751 (0.771)	Data 0.001 (0.006)	Loss 1.8785 (1.8828)	Prec@1 49.219 (51.057)	Prec@5 83.594 (80.722)
Epoch: [64][1200/14090]	Time 0.750 (0.771)	Data 0.001 (0.006)	Loss 1.7196 (1.8822)	Prec@1 53.125 (51.062)	Prec@5 84.375 (80.743)
Epoch: [64][1210/14090]	Time 0.755 (0.771)	Data 0.001 (0.006)	Loss 1.5579 (1.8813)	Prec@1 53.906 (51.064)	Prec@5 84.375 (80.763)
Epoch: [64][1220/14090]	Time 0.750 (0.771)	Data 0.001 (0.006)	Loss 1.9340 (1.8814)	Prec@1 51.562 (51.062)	Prec@5 74.219 (80.756)
Epoch: [64][1230/14090]	Time 0.763 (0.771)	Data 0.001 (0.006)	Loss 1.8163 (1.8807)	Prec@1 53.906 (51.083)	Prec@5 80.469 (80.763)
Epoch: [64][1240/14090]	Time 0.859 (0.771)	Data 0.001 (0.005)	Loss 1.5669 (1.8809)	Prec@1 64.062 (51.090)	Prec@5 82.812 (80.755)
Epoch: [64][1250/14090]	Time 0.744 (0.771)	Data 0.001 (0.005)	Loss 1.8920 (1.8808)	Prec@1 48.438 (51.089)	Prec@5 76.562 (80.757)
Epoch: [64][1260/14090]	Time 0.728 (0.771)	Data 0.001 (0.005)	Loss 1.8033 (1.8807)	Prec@1 51.562 (51.094)	Prec@5 82.812 (80.758)
Epoch: [64][1270/14090]	Time 0.779 (0.771)	Data 0.001 (0.005)	Loss 1.8895 (1.8808)	Prec@1 46.094 (51.070)	Prec@5 78.906 (80.758)
Epoch: [64][1280/14090]	Time 0.743 (0.770)	Data 0.001 (0.005)	Loss 1.8388 (1.8806)	Prec@1 50.781 (51.082)	Prec@5 81.250 (80.755)
Epoch: [64][1290/14090]	Time 0.762 (0.770)	Data 0.001 (0.005)	Loss 1.7667 (1.8809)	Prec@1 50.000 (51.075)	Prec@5 83.594 (80.763)
Epoch: [64][1300/14090]	Time 0.750 (0.770)	Data 0.001 (0.005)	Loss 1.6689 (1.8808)	Prec@1 53.125 (51.070)	Prec@5 84.375 (80.772)
Epoch: [64][1310/14090]	Time 0.831 (0.770)	Data 0.001 (0.005)	Loss 2.1916 (1.8808)	Prec@1 49.219 (51.081)	Prec@5 75.781 (80.768)
Epoch: [64][1320/14090]	Time 0.750 (0.770)	Data 0.001 (0.005)	Loss 1.9892 (1.8812)	Prec@1 51.562 (51.072)	Prec@5 75.000 (80.757)
Epoch: [64][1330/14090]	Time 0.757 (0.770)	Data 0.001 (0.005)	Loss 1.7730 (1.8815)	Prec@1 47.656 (51.072)	Prec@5 85.156 (80.749)
Epoch: [64][1340/14090]	Time 0.764 (0.770)	Data 0.001 (0.005)	Loss 1.7454 (1.8818)	Prec@1 50.000 (51.066)	Prec@5 82.031 (80.750)
Epoch: [64][1350/14090]	Time 0.754 (0.770)	Data 0.001 (0.005)	Loss 1.7546 (1.8816)	Prec@1 53.125 (51.065)	Prec@5 82.812 (80.750)
Epoch: [64][1360/14090]	Time 0.731 (0.770)	Data 0.001 (0.005)	Loss 1.8192 (1.8818)	Prec@1 53.906 (51.062)	Prec@5 82.031 (80.739)
Epoch: [64][1370/14090]	Time 0.780 (0.770)	Data 0.001 (0.005)	Loss 1.6021 (1.8812)	Prec@1 53.125 (51.079)	Prec@5 85.156 (80.755)
Epoch: [64][1380/14090]	Time 0.894 (0.770)	Data 0.001 (0.005)	Loss 1.6972 (1.8809)	Prec@1 59.375 (51.082)	Prec@5 86.719 (80.761)
Epoch: [64][1390/14090]	Time 0.741 (0.770)	Data 0.001 (0.005)	Loss 1.9966 (1.8813)	Prec@1 45.312 (51.079)	Prec@5 77.344 (80.752)
Epoch: [64][1400/14090]	Time 0.732 (0.770)	Data 0.001 (0.005)	Loss 1.8831 (1.8817)	Prec@1 54.688 (51.066)	Prec@5 79.688 (80.753)
Epoch: [64][1410/14090]	Time 0.736 (0.770)	Data 0.001 (0.005)	Loss 1.7121 (1.8813)	Prec@1 56.250 (51.070)	Prec@5 83.594 (80.758)
Epoch: [64][1420/14090]	Time 0.782 (0.770)	Data 0.001 (0.005)	Loss 1.7845 (1.8811)	Prec@1 54.688 (51.065)	Prec@5 84.375 (80.767)
Epoch: [64][1430/14090]	Time 0.738 (0.770)	Data 0.001 (0.005)	Loss 1.5723 (1.8814)	Prec@1 53.125 (51.058)	Prec@5 89.062 (80.759)
Epoch: [64][1440/14090]	Time 0.751 (0.770)	Data 0.001 (0.005)	Loss 2.0010 (1.8818)	Prec@1 51.562 (51.043)	Prec@5 80.469 (80.754)
Epoch: [64][1450/14090]	Time 0.819 (0.770)	Data 0.001 (0.005)	Loss 2.0031 (1.8821)	Prec@1 42.969 (51.027)	Prec@5 82.031 (80.753)
Epoch: [64][1460/14090]	Time 0.733 (0.770)	Data 0.001 (0.005)	Loss 2.0316 (1.8822)	Prec@1 45.312 (51.025)	Prec@5 75.781 (80.754)
Epoch: [64][1470/14090]	Time 0.734 (0.770)	Data 0.001 (0.005)	Loss 1.8556 (1.8819)	Prec@1 47.656 (51.030)	Prec@5 82.812 (80.758)
Epoch: [64][1480/14090]	Time 0.750 (0.770)	Data 0.001 (0.005)	Loss 1.9677 (1.8821)	Prec@1 53.906 (51.029)	Prec@5 78.906 (80.750)
Epoch: [64][1490/14090]	Time 0.745 (0.770)	Data 0.001 (0.005)	Loss 2.0686 (1.8823)	Prec@1 46.875 (51.024)	Prec@5 75.781 (80.741)
Epoch: [64][1500/14090]	Time 0.740 (0.770)	Data 0.001 (0.005)	Loss 1.8203 (1.8826)	Prec@1 44.531 (51.006)	Prec@5 81.250 (80.736)
Epoch: [64][1510/14090]	Time 0.735 (0.770)	Data 0.001 (0.005)	Loss 1.9808 (1.8826)	Prec@1 44.531 (51.002)	Prec@5 75.000 (80.727)
Epoch: [64][1520/14090]	Time 0.899 (0.770)	Data 0.001 (0.005)	Loss 1.8721 (1.8824)	Prec@1 51.562 (51.006)	Prec@5 83.594 (80.734)
Epoch: [64][1530/14090]	Time 0.728 (0.770)	Data 0.001 (0.005)	Loss 2.0012 (1.8824)	Prec@1 47.656 (51.002)	Prec@5 80.469 (80.736)
Epoch: [64][1540/14090]	Time 0.746 (0.770)	Data 0.001 (0.005)	Loss 1.6513 (1.8820)	Prec@1 55.469 (51.010)	Prec@5 89.062 (80.742)
Epoch: [64][1550/14090]	Time 0.722 (0.770)	Data 0.001 (0.005)	Loss 2.0402 (1.8818)	Prec@1 47.656 (51.007)	Prec@5 79.688 (80.747)
Epoch: [64][1560/14090]	Time 0.759 (0.770)	Data 0.001 (0.005)	Loss 1.9312 (1.8819)	Prec@1 48.438 (51.004)	Prec@5 82.812 (80.751)
Epoch: [64][1570/14090]	Time 0.732 (0.770)	Data 0.001 (0.004)	Loss 1.8339 (1.8819)	Prec@1 49.219 (51.007)	Prec@5 84.375 (80.750)
Epoch: [64][1580/14090]	Time 0.742 (0.770)	Data 0.001 (0.004)	Loss 1.7501 (1.8819)	Prec@1 55.469 (50.997)	Prec@5 85.938 (80.756)
Epoch: [64][1590/14090]	Time 0.927 (0.770)	Data 0.004 (0.004)	Loss 2.0785 (1.8819)	Prec@1 46.094 (50.992)	Prec@5 76.562 (80.754)
Epoch: [64][1600/14090]	Time 0.750 (0.769)	Data 0.001 (0.004)	Loss 1.7607 (1.8818)	Prec@1 56.250 (51.000)	Prec@5 82.031 (80.757)
Epoch: [64][1610/14090]	Time 0.727 (0.769)	Data 0.001 (0.004)	Loss 2.1966 (1.8822)	Prec@1 42.969 (50.987)	Prec@5 79.688 (80.752)
Epoch: [64][1620/14090]	Time 0.738 (0.769)	Data 0.001 (0.004)	Loss 2.1744 (1.8820)	Prec@1 46.094 (51.002)	Prec@5 67.969 (80.756)
Epoch: [64][1630/14090]	Time 0.747 (0.769)	Data 0.001 (0.004)	Loss 1.6321 (1.8814)	Prec@1 55.469 (51.018)	Prec@5 88.281 (80.769)
Epoch: [64][1640/14090]	Time 0.759 (0.769)	Data 0.001 (0.004)	Loss 1.7616 (1.8810)	Prec@1 57.031 (51.032)	Prec@5 82.031 (80.777)
Epoch: [64][1650/14090]	Time 0.760 (0.769)	Data 0.001 (0.004)	Loss 1.7425 (1.8810)	Prec@1 49.219 (51.035)	Prec@5 82.031 (80.774)
Epoch: [64][1660/14090]	Time 0.850 (0.769)	Data 0.001 (0.004)	Loss 1.8099 (1.8811)	Prec@1 50.781 (51.032)	Prec@5 82.812 (80.761)
Epoch: [64][1670/14090]	Time 0.732 (0.769)	Data 0.002 (0.004)	Loss 1.9324 (1.8808)	Prec@1 49.219 (51.039)	Prec@5 82.031 (80.760)
Epoch: [64][1680/14090]	Time 0.750 (0.769)	Data 0.001 (0.004)	Loss 1.8641 (1.8811)	Prec@1 46.875 (51.027)	Prec@5 81.250 (80.755)
Epoch: [64][1690/14090]	Time 0.744 (0.769)	Data 0.001 (0.004)	Loss 2.0346 (1.8809)	Prec@1 50.000 (51.034)	Prec@5 80.469 (80.757)
Epoch: [64][1700/14090]	Time 0.760 (0.769)	Data 0.001 (0.004)	Loss 1.9077 (1.8809)	Prec@1 49.219 (51.030)	Prec@5 79.688 (80.752)
Epoch: [64][1710/14090]	Time 0.731 (0.769)	Data 0.001 (0.004)	Loss 1.8487 (1.8811)	Prec@1 50.000 (51.026)	Prec@5 79.688 (80.745)
Epoch: [64][1720/14090]	Time 0.738 (0.769)	Data 0.001 (0.004)	Loss 2.2123 (1.8816)	Prec@1 45.312 (51.025)	Prec@5 76.562 (80.732)
Epoch: [64][1730/14090]	Time 0.838 (0.769)	Data 0.001 (0.004)	Loss 1.8831 (1.8814)	Prec@1 50.781 (51.036)	Prec@5 80.469 (80.732)
Epoch: [64][1740/14090]	Time 0.737 (0.769)	Data 0.001 (0.004)	Loss 1.8661 (1.8814)	Prec@1 53.125 (51.033)	Prec@5 82.031 (80.736)
Epoch: [64][1750/14090]	Time 0.740 (0.769)	Data 0.001 (0.004)	Loss 2.0688 (1.8818)	Prec@1 46.094 (51.029)	Prec@5 76.562 (80.724)
Epoch: [64][1760/14090]	Time 0.755 (0.769)	Data 0.001 (0.004)	Loss 1.8121 (1.8822)	Prec@1 50.781 (51.021)	Prec@5 84.375 (80.712)
Epoch: [64][1770/14090]	Time 0.748 (0.769)	Data 0.001 (0.004)	Loss 2.2187 (1.8824)	Prec@1 46.094 (51.018)	Prec@5 77.344 (80.709)
Epoch: [64][1780/14090]	Time 0.750 (0.769)	Data 0.001 (0.004)	Loss 2.0149 (1.8824)	Prec@1 46.875 (51.021)	Prec@5 77.344 (80.709)
Epoch: [64][1790/14090]	Time 0.748 (0.769)	Data 0.001 (0.004)	Loss 1.9712 (1.8823)	Prec@1 50.000 (51.022)	Prec@5 78.906 (80.708)
Epoch: [64][1800/14090]	Time 0.862 (0.769)	Data 0.001 (0.004)	Loss 1.7146 (1.8821)	Prec@1 56.250 (51.024)	Prec@5 82.812 (80.719)
Epoch: [64][1810/14090]	Time 0.756 (0.769)	Data 0.001 (0.004)	Loss 1.7972 (1.8818)	Prec@1 53.125 (51.038)	Prec@5 85.156 (80.731)
Epoch: [64][1820/14090]	Time 0.763 (0.769)	Data 0.001 (0.004)	Loss 1.6719 (1.8816)	Prec@1 52.344 (51.041)	Prec@5 84.375 (80.733)
Epoch: [64][1830/14090]	Time 0.733 (0.769)	Data 0.001 (0.004)	Loss 1.9266 (1.8821)	Prec@1 46.875 (51.027)	Prec@5 79.688 (80.724)
Epoch: [64][1840/14090]	Time 0.736 (0.769)	Data 0.001 (0.004)	Loss 1.9396 (1.8819)	Prec@1 49.219 (51.035)	Prec@5 78.906 (80.725)
Epoch: [64][1850/14090]	Time 0.754 (0.769)	Data 0.001 (0.004)	Loss 1.9595 (1.8825)	Prec@1 43.750 (51.038)	Prec@5 82.812 (80.722)
Epoch: [64][1860/14090]	Time 0.765 (0.769)	Data 0.001 (0.004)	Loss 1.8681 (1.8827)	Prec@1 53.125 (51.034)	Prec@5 79.688 (80.718)
Epoch: [64][1870/14090]	Time 0.901 (0.769)	Data 0.001 (0.004)	Loss 1.9584 (1.8830)	Prec@1 44.531 (51.027)	Prec@5 77.344 (80.709)
Epoch: [64][1880/14090]	Time 0.766 (0.769)	Data 0.001 (0.004)	Loss 1.8647 (1.8832)	Prec@1 50.000 (51.024)	Prec@5 79.688 (80.710)
Epoch: [64][1890/14090]	Time 0.744 (0.769)	Data 0.001 (0.004)	Loss 1.8577 (1.8833)	Prec@1 50.781 (51.029)	Prec@5 82.812 (80.707)
Epoch: [64][1900/14090]	Time 0.748 (0.769)	Data 0.001 (0.004)	Loss 1.7211 (1.8831)	Prec@1 50.781 (51.039)	Prec@5 84.375 (80.712)
Epoch: [64][1910/14090]	Time 0.744 (0.769)	Data 0.001 (0.004)	Loss 1.9014 (1.8829)	Prec@1 53.125 (51.051)	Prec@5 77.344 (80.707)
Epoch: [64][1920/14090]	Time 0.745 (0.769)	Data 0.001 (0.004)	Loss 1.4382 (1.8831)	Prec@1 66.406 (51.050)	Prec@5 86.719 (80.701)
Epoch: [64][1930/14090]	Time 0.758 (0.769)	Data 0.001 (0.004)	Loss 1.8159 (1.8833)	Prec@1 46.094 (51.041)	Prec@5 81.250 (80.698)
Epoch: [64][1940/14090]	Time 0.825 (0.769)	Data 0.001 (0.004)	Loss 2.1942 (1.8834)	Prec@1 42.969 (51.044)	Prec@5 77.344 (80.698)
Epoch: [64][1950/14090]	Time 0.749 (0.769)	Data 0.001 (0.004)	Loss 1.8880 (1.8834)	Prec@1 48.438 (51.042)	Prec@5 81.250 (80.696)
Epoch: [64][1960/14090]	Time 0.751 (0.769)	Data 0.001 (0.004)	Loss 2.0146 (1.8833)	Prec@1 50.000 (51.043)	Prec@5 75.000 (80.698)
Epoch: [64][1970/14090]	Time 0.760 (0.769)	Data 0.001 (0.004)	Loss 2.0297 (1.8837)	Prec@1 46.094 (51.039)	Prec@5 75.000 (80.693)
Epoch: [64][1980/14090]	Time 0.743 (0.769)	Data 0.001 (0.004)	Loss 1.7858 (1.8833)	Prec@1 53.125 (51.047)	Prec@5 80.469 (80.698)
Epoch: [64][1990/14090]	Time 0.728 (0.769)	Data 0.001 (0.004)	Loss 2.0759 (1.8836)	Prec@1 49.219 (51.038)	Prec@5 78.906 (80.693)
Epoch: [64][2000/14090]	Time 0.742 (0.769)	Data 0.001 (0.004)	Loss 2.1105 (1.8834)	Prec@1 42.188 (51.037)	Prec@5 71.875 (80.692)
Epoch: [64][2010/14090]	Time 0.873 (0.769)	Data 0.001 (0.004)	Loss 1.9664 (1.8836)	Prec@1 50.781 (51.044)	Prec@5 78.125 (80.688)
Epoch: [64][2020/14090]	Time 0.756 (0.769)	Data 0.001 (0.004)	Loss 2.0916 (1.8834)	Prec@1 50.000 (51.045)	Prec@5 77.344 (80.691)
Epoch: [64][2030/14090]	Time 0.743 (0.769)	Data 0.001 (0.004)	Loss 2.0442 (1.8835)	Prec@1 46.094 (51.041)	Prec@5 82.031 (80.693)
Epoch: [64][2040/14090]	Time 0.752 (0.769)	Data 0.001 (0.004)	Loss 1.6825 (1.8833)	Prec@1 56.250 (51.050)	Prec@5 83.594 (80.691)
Epoch: [64][2050/14090]	Time 0.726 (0.769)	Data 0.001 (0.004)	Loss 2.0045 (1.8834)	Prec@1 50.000 (51.043)	Prec@5 82.812 (80.691)
Epoch: [64][2060/14090]	Time 0.737 (0.769)	Data 0.001 (0.004)	Loss 2.0051 (1.8836)	Prec@1 50.781 (51.037)	Prec@5 74.219 (80.689)
Epoch: [64][2070/14090]	Time 0.751 (0.769)	Data 0.001 (0.004)	Loss 2.1506 (1.8835)	Prec@1 47.656 (51.039)	Prec@5 71.094 (80.683)
Epoch: [64][2080/14090]	Time 0.854 (0.769)	Data 0.001 (0.004)	Loss 1.7823 (1.8832)	Prec@1 54.688 (51.049)	Prec@5 78.906 (80.685)
Epoch: [64][2090/14090]	Time 0.750 (0.769)	Data 0.001 (0.004)	Loss 1.9083 (1.8831)	Prec@1 51.562 (51.050)	Prec@5 82.031 (80.690)
Epoch: [64][2100/14090]	Time 0.767 (0.769)	Data 0.001 (0.004)	Loss 1.8745 (1.8832)	Prec@1 50.000 (51.055)	Prec@5 79.688 (80.683)
Epoch: [64][2110/14090]	Time 0.722 (0.769)	Data 0.001 (0.004)	Loss 1.8283 (1.8834)	Prec@1 47.656 (51.053)	Prec@5 83.594 (80.680)
Epoch: [64][2120/14090]	Time 0.728 (0.769)	Data 0.001 (0.004)	Loss 1.7207 (1.8832)	Prec@1 51.562 (51.058)	Prec@5 82.812 (80.685)
Epoch: [64][2130/14090]	Time 0.755 (0.769)	Data 0.001 (0.004)	Loss 1.9777 (1.8834)	Prec@1 49.219 (51.060)	Prec@5 75.781 (80.675)
Epoch: [64][2140/14090]	Time 0.760 (0.769)	Data 0.001 (0.004)	Loss 1.9832 (1.8834)	Prec@1 51.562 (51.059)	Prec@5 81.250 (80.675)
Epoch: [64][2150/14090]	Time 0.884 (0.769)	Data 0.001 (0.004)	Loss 1.8772 (1.8835)	Prec@1 50.000 (51.056)	Prec@5 78.906 (80.675)
Epoch: [64][2160/14090]	Time 0.763 (0.769)	Data 0.001 (0.004)	Loss 1.7665 (1.8833)	Prec@1 58.594 (51.057)	Prec@5 83.594 (80.682)
Epoch: [64][2170/14090]	Time 0.731 (0.769)	Data 0.001 (0.003)	Loss 2.1298 (1.8840)	Prec@1 45.312 (51.039)	Prec@5 70.312 (80.657)
Epoch: [64][2180/14090]	Time 0.767 (0.769)	Data 0.001 (0.003)	Loss 1.8851 (1.8843)	Prec@1 48.438 (51.024)	Prec@5 78.125 (80.651)
Epoch: [64][2190/14090]	Time 0.754 (0.769)	Data 0.001 (0.003)	Loss 1.6941 (1.8840)	Prec@1 57.812 (51.035)	Prec@5 84.375 (80.659)
Epoch: [64][2200/14090]	Time 0.750 (0.769)	Data 0.001 (0.003)	Loss 1.7701 (1.8839)	Prec@1 53.906 (51.046)	Prec@5 82.031 (80.661)
Epoch: [64][2210/14090]	Time 0.739 (0.768)	Data 0.001 (0.003)	Loss 1.8421 (1.8839)	Prec@1 54.688 (51.041)	Prec@5 83.594 (80.661)
Epoch: [64][2220/14090]	Time 0.870 (0.768)	Data 0.001 (0.003)	Loss 1.8952 (1.8840)	Prec@1 48.438 (51.039)	Prec@5 82.812 (80.656)
Epoch: [64][2230/14090]	Time 0.766 (0.768)	Data 0.001 (0.003)	Loss 2.0215 (1.8837)	Prec@1 50.781 (51.041)	Prec@5 78.906 (80.665)
Epoch: [64][2240/14090]	Time 0.735 (0.768)	Data 0.001 (0.003)	Loss 1.9531 (1.8837)	Prec@1 49.219 (51.046)	Prec@5 78.125 (80.666)
Epoch: [64][2250/14090]	Time 0.758 (0.768)	Data 0.001 (0.003)	Loss 2.0132 (1.8836)	Prec@1 44.531 (51.046)	Prec@5 81.250 (80.669)
Epoch: [64][2260/14090]	Time 0.747 (0.768)	Data 0.001 (0.003)	Loss 2.0395 (1.8837)	Prec@1 48.438 (51.037)	Prec@5 81.250 (80.670)
Epoch: [64][2270/14090]	Time 0.723 (0.768)	Data 0.001 (0.003)	Loss 1.8270 (1.8835)	Prec@1 54.688 (51.043)	Prec@5 82.812 (80.673)
Epoch: [64][2280/14090]	Time 0.747 (0.768)	Data 0.001 (0.003)	Loss 1.9290 (1.8835)	Prec@1 47.656 (51.039)	Prec@5 82.031 (80.674)
Epoch: [64][2290/14090]	Time 0.911 (0.768)	Data 0.001 (0.003)	Loss 1.7716 (1.8829)	Prec@1 53.906 (51.052)	Prec@5 86.719 (80.690)
Epoch: [64][2300/14090]	Time 0.749 (0.768)	Data 0.001 (0.003)	Loss 1.8082 (1.8830)	Prec@1 59.375 (51.051)	Prec@5 80.469 (80.684)
Epoch: [64][2310/14090]	Time 0.750 (0.768)	Data 0.001 (0.003)	Loss 1.8786 (1.8828)	Prec@1 51.562 (51.057)	Prec@5 82.031 (80.685)
Epoch: [64][2320/14090]	Time 0.733 (0.768)	Data 0.001 (0.003)	Loss 1.9878 (1.8827)	Prec@1 42.969 (51.056)	Prec@5 80.469 (80.683)
Epoch: [64][2330/14090]	Time 0.755 (0.768)	Data 0.001 (0.003)	Loss 1.8244 (1.8826)	Prec@1 57.031 (51.056)	Prec@5 80.469 (80.686)
Epoch: [64][2340/14090]	Time 0.770 (0.768)	Data 0.001 (0.003)	Loss 1.8397 (1.8829)	Prec@1 53.125 (51.053)	Prec@5 80.469 (80.681)
Epoch: [64][2350/14090]	Time 0.728 (0.768)	Data 0.001 (0.003)	Loss 1.8960 (1.8830)	Prec@1 54.688 (51.049)	Prec@5 81.250 (80.681)
Epoch: [64][2360/14090]	Time 0.849 (0.768)	Data 0.001 (0.003)	Loss 1.8670 (1.8830)	Prec@1 52.344 (51.047)	Prec@5 82.812 (80.684)
Epoch: [64][2370/14090]	Time 0.747 (0.768)	Data 0.001 (0.003)	Loss 1.9277 (1.8830)	Prec@1 47.656 (51.049)	Prec@5 82.812 (80.684)
Epoch: [64][2380/14090]	Time 0.759 (0.768)	Data 0.001 (0.003)	Loss 2.0407 (1.8831)	Prec@1 50.000 (51.051)	Prec@5 78.906 (80.682)
Epoch: [64][2390/14090]	Time 0.764 (0.768)	Data 0.001 (0.003)	Loss 2.0107 (1.8830)	Prec@1 49.219 (51.050)	Prec@5 76.562 (80.686)
Epoch: [64][2400/14090]	Time 0.765 (0.768)	Data 0.001 (0.003)	Loss 2.2032 (1.8830)	Prec@1 53.125 (51.052)	Prec@5 74.219 (80.680)
Epoch: [64][2410/14090]	Time 0.736 (0.768)	Data 0.001 (0.003)	Loss 1.6969 (1.8830)	Prec@1 53.906 (51.049)	Prec@5 85.938 (80.678)
Epoch: [64][2420/14090]	Time 0.762 (0.768)	Data 0.001 (0.003)	Loss 2.0944 (1.8833)	Prec@1 45.312 (51.038)	Prec@5 77.344 (80.674)
Epoch: [64][2430/14090]	Time 0.869 (0.768)	Data 0.003 (0.003)	Loss 2.0054 (1.8836)	Prec@1 48.438 (51.030)	Prec@5 79.688 (80.668)
Epoch: [64][2440/14090]	Time 0.747 (0.768)	Data 0.001 (0.003)	Loss 1.7577 (1.8837)	Prec@1 53.125 (51.027)	Prec@5 82.812 (80.669)
Epoch: [64][2450/14090]	Time 0.750 (0.768)	Data 0.001 (0.003)	Loss 1.8302 (1.8836)	Prec@1 55.469 (51.030)	Prec@5 81.250 (80.668)
Epoch: [64][2460/14090]	Time 0.729 (0.768)	Data 0.001 (0.003)	Loss 1.7883 (1.8835)	Prec@1 52.344 (51.037)	Prec@5 81.250 (80.670)
Epoch: [64][2470/14090]	Time 0.757 (0.768)	Data 0.001 (0.003)	Loss 1.8517 (1.8838)	Prec@1 48.438 (51.028)	Prec@5 78.906 (80.661)
Epoch: [64][2480/14090]	Time 0.758 (0.768)	Data 0.001 (0.003)	Loss 2.1660 (1.8838)	Prec@1 44.531 (51.026)	Prec@5 74.219 (80.663)
Epoch: [64][2490/14090]	Time 0.771 (0.768)	Data 0.001 (0.003)	Loss 1.7893 (1.8834)	Prec@1 53.125 (51.029)	Prec@5 79.688 (80.667)
Epoch: [64][2500/14090]	Time 0.869 (0.768)	Data 0.001 (0.003)	Loss 1.7577 (1.8837)	Prec@1 49.219 (51.022)	Prec@5 83.594 (80.663)
Epoch: [64][2510/14090]	Time 0.739 (0.768)	Data 0.001 (0.003)	Loss 2.0031 (1.8841)	Prec@1 46.094 (51.014)	Prec@5 75.781 (80.657)
Epoch: [64][2520/14090]	Time 0.759 (0.768)	Data 0.001 (0.003)	Loss 1.6807 (1.8840)	Prec@1 54.688 (51.016)	Prec@5 86.719 (80.663)
Epoch: [64][2530/14090]	Time 0.722 (0.768)	Data 0.001 (0.003)	Loss 1.7333 (1.8837)	Prec@1 57.812 (51.017)	Prec@5 82.812 (80.671)
Epoch: [64][2540/14090]	Time 0.748 (0.768)	Data 0.001 (0.003)	Loss 2.1616 (1.8838)	Prec@1 44.531 (51.020)	Prec@5 78.906 (80.669)
Epoch: [64][2550/14090]	Time 0.748 (0.768)	Data 0.001 (0.003)	Loss 2.0470 (1.8839)	Prec@1 50.000 (51.023)	Prec@5 75.000 (80.666)
Epoch: [64][2560/14090]	Time 0.744 (0.768)	Data 0.001 (0.003)	Loss 2.0644 (1.8842)	Prec@1 43.750 (51.013)	Prec@5 78.125 (80.662)
Epoch: [64][2570/14090]	Time 0.854 (0.768)	Data 0.001 (0.003)	Loss 2.0337 (1.8843)	Prec@1 46.094 (51.009)	Prec@5 84.375 (80.665)
Epoch: [64][2580/14090]	Time 0.734 (0.768)	Data 0.001 (0.003)	Loss 1.8499 (1.8844)	Prec@1 55.469 (51.000)	Prec@5 83.594 (80.664)
Epoch: [64][2590/14090]	Time 0.748 (0.768)	Data 0.001 (0.003)	Loss 1.9327 (1.8844)	Prec@1 46.875 (51.001)	Prec@5 79.688 (80.667)
Epoch: [64][2600/14090]	Time 0.738 (0.768)	Data 0.001 (0.003)	Loss 1.8315 (1.8845)	Prec@1 52.344 (51.001)	Prec@5 80.469 (80.665)
Epoch: [64][2610/14090]	Time 0.723 (0.768)	Data 0.001 (0.003)	Loss 2.1872 (1.8846)	Prec@1 43.750 (51.000)	Prec@5 75.000 (80.665)
Epoch: [64][2620/14090]	Time 0.776 (0.768)	Data 0.000 (0.003)	Loss 1.8981 (1.8847)	Prec@1 53.906 (50.996)	Prec@5 77.344 (80.660)
Epoch: [64][2630/14090]	Time 0.767 (0.768)	Data 0.001 (0.003)	Loss 1.9444 (1.8847)	Prec@1 52.344 (50.995)	Prec@5 82.812 (80.664)
Epoch: [64][2640/14090]	Time 0.856 (0.768)	Data 0.001 (0.003)	Loss 1.7867 (1.8847)	Prec@1 53.125 (50.994)	Prec@5 82.031 (80.659)
Epoch: [64][2650/14090]	Time 0.730 (0.768)	Data 0.001 (0.003)	Loss 1.9779 (1.8849)	Prec@1 49.219 (50.992)	Prec@5 82.031 (80.663)
Epoch: [64][2660/14090]	Time 0.749 (0.768)	Data 0.001 (0.003)	Loss 1.9162 (1.8849)	Prec@1 53.125 (50.992)	Prec@5 79.688 (80.661)
Epoch: [64][2670/14090]	Time 0.752 (0.768)	Data 0.001 (0.003)	Loss 1.8138 (1.8850)	Prec@1 52.344 (50.982)	Prec@5 85.938 (80.661)
Epoch: [64][2680/14090]	Time 0.744 (0.768)	Data 0.001 (0.003)	Loss 1.9341 (1.8849)	Prec@1 49.219 (50.993)	Prec@5 76.562 (80.658)
Epoch: [64][2690/14090]	Time 0.756 (0.768)	Data 0.001 (0.003)	Loss 1.8650 (1.8851)	Prec@1 49.219 (50.990)	Prec@5 83.594 (80.655)
Epoch: [64][2700/14090]	Time 0.750 (0.768)	Data 0.001 (0.003)	Loss 1.7383 (1.8853)	Prec@1 53.906 (50.991)	Prec@5 85.938 (80.654)
Epoch: [64][2710/14090]	Time 0.843 (0.768)	Data 0.001 (0.003)	Loss 1.9428 (1.8851)	Prec@1 53.125 (50.991)	Prec@5 82.031 (80.654)
Epoch: [64][2720/14090]	Time 0.730 (0.768)	Data 0.001 (0.003)	Loss 1.8234 (1.8850)	Prec@1 51.562 (50.988)	Prec@5 82.812 (80.651)
Epoch: [64][2730/14090]	Time 0.722 (0.768)	Data 0.001 (0.003)	Loss 2.0512 (1.8850)	Prec@1 42.188 (50.991)	Prec@5 79.688 (80.652)
Epoch: [64][2740/14090]	Time 0.755 (0.768)	Data 0.001 (0.003)	Loss 1.8247 (1.8847)	Prec@1 51.562 (50.994)	Prec@5 82.031 (80.656)
Epoch: [64][2750/14090]	Time 0.764 (0.768)	Data 0.001 (0.003)	Loss 1.6769 (1.8844)	Prec@1 51.562 (51.000)	Prec@5 84.375 (80.662)
Epoch: [64][2760/14090]	Time 0.766 (0.768)	Data 0.001 (0.003)	Loss 2.0629 (1.8845)	Prec@1 47.656 (50.999)	Prec@5 76.562 (80.660)
Epoch: [64][2770/14090]	Time 0.735 (0.768)	Data 0.001 (0.003)	Loss 1.7161 (1.8845)	Prec@1 57.812 (51.001)	Prec@5 82.031 (80.658)
Epoch: [64][2780/14090]	Time 0.863 (0.768)	Data 0.001 (0.003)	Loss 1.9119 (1.8845)	Prec@1 48.438 (51.005)	Prec@5 82.031 (80.665)
Epoch: [64][2790/14090]	Time 0.760 (0.768)	Data 0.001 (0.003)	Loss 1.9076 (1.8843)	Prec@1 53.125 (51.010)	Prec@5 79.688 (80.670)
Epoch: [64][2800/14090]	Time 0.741 (0.768)	Data 0.001 (0.003)	Loss 2.0268 (1.8842)	Prec@1 46.875 (51.014)	Prec@5 77.344 (80.672)
Epoch: [64][2810/14090]	Time 0.745 (0.768)	Data 0.001 (0.003)	Loss 2.1146 (1.8845)	Prec@1 49.219 (51.008)	Prec@5 78.125 (80.671)
Epoch: [64][2820/14090]	Time 0.742 (0.768)	Data 0.001 (0.003)	Loss 1.8941 (1.8846)	Prec@1 51.562 (51.008)	Prec@5 80.469 (80.669)
Epoch: [64][2830/14090]	Time 0.727 (0.768)	Data 0.001 (0.003)	Loss 2.2962 (1.8852)	Prec@1 45.312 (50.995)	Prec@5 68.750 (80.657)
Epoch: [64][2840/14090]	Time 0.731 (0.768)	Data 0.001 (0.003)	Loss 1.7903 (1.8852)	Prec@1 51.562 (50.996)	Prec@5 85.938 (80.659)
Epoch: [64][2850/14090]	Time 0.873 (0.768)	Data 0.001 (0.003)	Loss 2.2746 (1.8855)	Prec@1 41.406 (50.991)	Prec@5 75.000 (80.655)
Epoch: [64][2860/14090]	Time 0.735 (0.768)	Data 0.001 (0.003)	Loss 2.0425 (1.8855)	Prec@1 53.125 (50.993)	Prec@5 76.562 (80.655)
Epoch: [64][2870/14090]	Time 0.727 (0.768)	Data 0.001 (0.003)	Loss 1.8329 (1.8853)	Prec@1 46.094 (50.994)	Prec@5 80.469 (80.658)
Epoch: [64][2880/14090]	Time 0.725 (0.768)	Data 0.001 (0.003)	Loss 1.8619 (1.8852)	Prec@1 46.094 (50.998)	Prec@5 83.594 (80.656)
Epoch: [64][2890/14090]	Time 0.728 (0.768)	Data 0.001 (0.003)	Loss 1.9666 (1.8853)	Prec@1 50.781 (50.997)	Prec@5 76.562 (80.653)
Epoch: [64][2900/14090]	Time 0.752 (0.768)	Data 0.001 (0.003)	Loss 2.2302 (1.8855)	Prec@1 42.188 (51.000)	Prec@5 76.562 (80.648)
Epoch: [64][2910/14090]	Time 0.738 (0.768)	Data 0.001 (0.003)	Loss 1.8252 (1.8856)	Prec@1 47.656 (50.996)	Prec@5 82.812 (80.644)
Epoch: [64][2920/14090]	Time 0.879 (0.768)	Data 0.001 (0.003)	Loss 2.0156 (1.8856)	Prec@1 45.312 (50.991)	Prec@5 80.469 (80.645)
Epoch: [64][2930/14090]	Time 0.746 (0.768)	Data 0.001 (0.003)	Loss 2.0053 (1.8858)	Prec@1 44.531 (50.986)	Prec@5 80.469 (80.639)
Epoch: [64][2940/14090]	Time 0.733 (0.768)	Data 0.001 (0.003)	Loss 2.0576 (1.8861)	Prec@1 48.438 (50.980)	Prec@5 78.125 (80.634)
Epoch: [64][2950/14090]	Time 0.752 (0.768)	Data 0.001 (0.003)	Loss 1.9347 (1.8860)	Prec@1 47.656 (50.982)	Prec@5 82.812 (80.637)
Epoch: [64][2960/14090]	Time 0.764 (0.768)	Data 0.001 (0.003)	Loss 1.9235 (1.8863)	Prec@1 47.656 (50.973)	Prec@5 78.906 (80.632)
Epoch: [64][2970/14090]	Time 0.724 (0.768)	Data 0.001 (0.003)	Loss 1.7275 (1.8861)	Prec@1 56.250 (50.975)	Prec@5 78.906 (80.633)
Epoch: [64][2980/14090]	Time 0.740 (0.768)	Data 0.001 (0.003)	Loss 1.7888 (1.8860)	Prec@1 57.031 (50.975)	Prec@5 80.469 (80.635)
Epoch: [64][2990/14090]	Time 0.880 (0.768)	Data 0.001 (0.003)	Loss 1.7439 (1.8860)	Prec@1 53.906 (50.976)	Prec@5 80.469 (80.634)
Epoch: [64][3000/14090]	Time 0.753 (0.768)	Data 0.001 (0.003)	Loss 1.8069 (1.8860)	Prec@1 57.812 (50.975)	Prec@5 82.812 (80.630)
Epoch: [64][3010/14090]	Time 0.719 (0.768)	Data 0.001 (0.003)	Loss 1.7028 (1.8859)	Prec@1 56.250 (50.981)	Prec@5 83.594 (80.634)
Epoch: [64][3020/14090]	Time 0.747 (0.768)	Data 0.001 (0.003)	Loss 2.0509 (1.8858)	Prec@1 46.094 (50.978)	Prec@5 78.125 (80.635)
Epoch: [64][3030/14090]	Time 0.740 (0.768)	Data 0.001 (0.003)	Loss 2.0528 (1.8858)	Prec@1 46.094 (50.978)	Prec@5 83.594 (80.639)
Epoch: [64][3040/14090]	Time 0.737 (0.768)	Data 0.001 (0.003)	Loss 2.3167 (1.8860)	Prec@1 47.656 (50.974)	Prec@5 70.312 (80.638)
Epoch: [64][3050/14090]	Time 0.745 (0.768)	Data 0.001 (0.003)	Loss 1.6392 (1.8858)	Prec@1 52.344 (50.977)	Prec@5 81.250 (80.639)
Epoch: [64][3060/14090]	Time 0.874 (0.768)	Data 0.001 (0.003)	Loss 1.7467 (1.8859)	Prec@1 52.344 (50.975)	Prec@5 83.594 (80.639)
Epoch: [64][3070/14090]	Time 0.732 (0.768)	Data 0.001 (0.003)	Loss 1.9144 (1.8859)	Prec@1 48.438 (50.975)	Prec@5 78.125 (80.638)
Epoch: [64][3080/14090]	Time 0.736 (0.768)	Data 0.001 (0.003)	Loss 1.8082 (1.8859)	Prec@1 50.781 (50.975)	Prec@5 82.031 (80.634)
Epoch: [64][3090/14090]	Time 0.758 (0.768)	Data 0.001 (0.003)	Loss 2.1440 (1.8861)	Prec@1 42.188 (50.966)	Prec@5 75.781 (80.631)
Epoch: [64][3100/14090]	Time 0.743 (0.768)	Data 0.001 (0.003)	Loss 1.7172 (1.8861)	Prec@1 50.000 (50.961)	Prec@5 85.156 (80.632)
Epoch: [64][3110/14090]	Time 0.758 (0.768)	Data 0.001 (0.003)	Loss 1.8565 (1.8861)	Prec@1 46.094 (50.965)	Prec@5 80.469 (80.632)
Epoch: [64][3120/14090]	Time 0.759 (0.768)	Data 0.001 (0.003)	Loss 1.9089 (1.8860)	Prec@1 53.125 (50.967)	Prec@5 78.125 (80.635)
Epoch: [64][3130/14090]	Time 0.864 (0.768)	Data 0.001 (0.003)	Loss 1.6213 (1.8859)	Prec@1 59.375 (50.970)	Prec@5 84.375 (80.634)
Epoch: [64][3140/14090]	Time 0.748 (0.768)	Data 0.001 (0.003)	Loss 2.0999 (1.8860)	Prec@1 46.875 (50.968)	Prec@5 75.000 (80.633)
Epoch: [64][3150/14090]	Time 0.725 (0.767)	Data 0.001 (0.003)	Loss 1.8561 (1.8858)	Prec@1 49.219 (50.974)	Prec@5 78.906 (80.638)
Epoch: [64][3160/14090]	Time 0.788 (0.768)	Data 0.001 (0.003)	Loss 1.7096 (1.8860)	Prec@1 53.906 (50.969)	Prec@5 85.156 (80.633)
Epoch: [64][3170/14090]	Time 0.749 (0.767)	Data 0.001 (0.003)	Loss 1.9856 (1.8859)	Prec@1 50.781 (50.974)	Prec@5 80.469 (80.639)
Epoch: [64][3180/14090]	Time 0.734 (0.767)	Data 0.001 (0.003)	Loss 2.2263 (1.8860)	Prec@1 40.625 (50.971)	Prec@5 78.125 (80.638)
Epoch: [64][3190/14090]	Time 0.748 (0.767)	Data 0.001 (0.003)	Loss 1.9140 (1.8860)	Prec@1 50.781 (50.971)	Prec@5 79.688 (80.640)
Epoch: [64][3200/14090]	Time 0.856 (0.767)	Data 0.001 (0.003)	Loss 2.0199 (1.8861)	Prec@1 46.875 (50.964)	Prec@5 75.781 (80.637)
Epoch: [64][3210/14090]	Time 0.730 (0.767)	Data 0.001 (0.003)	Loss 1.9376 (1.8862)	Prec@1 47.656 (50.960)	Prec@5 82.812 (80.633)
Epoch: [64][3220/14090]	Time 0.753 (0.767)	Data 0.001 (0.003)	Loss 2.0985 (1.8861)	Prec@1 46.875 (50.964)	Prec@5 76.562 (80.636)
Epoch: [64][3230/14090]	Time 0.734 (0.767)	Data 0.001 (0.003)	Loss 1.6373 (1.8859)	Prec@1 57.031 (50.974)	Prec@5 84.375 (80.639)
Epoch: [64][3240/14090]	Time 0.757 (0.767)	Data 0.001 (0.003)	Loss 2.1980 (1.8859)	Prec@1 45.312 (50.972)	Prec@5 77.344 (80.639)
Epoch: [64][3250/14090]	Time 0.750 (0.767)	Data 0.001 (0.003)	Loss 1.9724 (1.8859)	Prec@1 46.875 (50.969)	Prec@5 80.469 (80.641)
Epoch: [64][3260/14090]	Time 0.781 (0.767)	Data 0.001 (0.003)	Loss 2.0713 (1.8860)	Prec@1 42.969 (50.963)	Prec@5 81.250 (80.643)
Epoch: [64][3270/14090]	Time 0.868 (0.767)	Data 0.001 (0.003)	Loss 1.8098 (1.8862)	Prec@1 56.250 (50.961)	Prec@5 80.469 (80.640)
Epoch: [64][3280/14090]	Time 0.744 (0.767)	Data 0.001 (0.003)	Loss 1.6618 (1.8862)	Prec@1 58.594 (50.963)	Prec@5 82.812 (80.638)
Epoch: [64][3290/14090]	Time 0.741 (0.767)	Data 0.001 (0.003)	Loss 1.7780 (1.8861)	Prec@1 52.344 (50.965)	Prec@5 83.594 (80.640)
Epoch: [64][3300/14090]	Time 0.725 (0.767)	Data 0.001 (0.003)	Loss 1.9930 (1.8862)	Prec@1 53.125 (50.967)	Prec@5 78.906 (80.638)
Epoch: [64][3310/14090]	Time 0.750 (0.767)	Data 0.001 (0.003)	Loss 1.9889 (1.8863)	Prec@1 50.781 (50.965)	Prec@5 75.781 (80.635)
Epoch: [64][3320/14090]	Time 0.722 (0.767)	Data 0.001 (0.003)	Loss 1.8993 (1.8863)	Prec@1 50.781 (50.965)	Prec@5 74.219 (80.629)
Epoch: [64][3330/14090]	Time 0.755 (0.767)	Data 0.001 (0.003)	Loss 2.0644 (1.8865)	Prec@1 46.094 (50.962)	Prec@5 77.344 (80.630)
Epoch: [64][3340/14090]	Time 0.887 (0.767)	Data 0.001 (0.003)	Loss 2.0790 (1.8865)	Prec@1 42.969 (50.959)	Prec@5 78.125 (80.630)
Epoch: [64][3350/14090]	Time 0.731 (0.767)	Data 0.001 (0.003)	Loss 1.9062 (1.8866)	Prec@1 50.781 (50.958)	Prec@5 82.812 (80.630)
Epoch: [64][3360/14090]	Time 0.772 (0.767)	Data 0.001 (0.003)	Loss 1.9294 (1.8866)	Prec@1 45.312 (50.951)	Prec@5 82.812 (80.631)
Epoch: [64][3370/14090]	Time 0.721 (0.767)	Data 0.001 (0.003)	Loss 2.1235 (1.8868)	Prec@1 43.750 (50.946)	Prec@5 79.688 (80.633)
Epoch: [64][3380/14090]	Time 0.752 (0.767)	Data 0.001 (0.003)	Loss 1.7362 (1.8867)	Prec@1 48.438 (50.946)	Prec@5 87.500 (80.634)
Epoch: [64][3390/14090]	Time 0.756 (0.767)	Data 0.001 (0.003)	Loss 2.2155 (1.8867)	Prec@1 38.281 (50.942)	Prec@5 75.781 (80.636)
Epoch: [64][3400/14090]	Time 0.752 (0.767)	Data 0.001 (0.003)	Loss 2.2104 (1.8870)	Prec@1 48.438 (50.933)	Prec@5 79.688 (80.632)
Epoch: [64][3410/14090]	Time 0.849 (0.767)	Data 0.001 (0.003)	Loss 1.7803 (1.8870)	Prec@1 53.125 (50.931)	Prec@5 84.375 (80.633)
Epoch: [64][3420/14090]	Time 0.763 (0.767)	Data 0.001 (0.003)	Loss 1.7509 (1.8869)	Prec@1 55.469 (50.933)	Prec@5 85.156 (80.635)
Epoch: [64][3430/14090]	Time 0.748 (0.767)	Data 0.001 (0.003)	Loss 2.1331 (1.8870)	Prec@1 44.531 (50.932)	Prec@5 78.906 (80.637)
Epoch: [64][3440/14090]	Time 0.737 (0.767)	Data 0.001 (0.003)	Loss 1.7259 (1.8870)	Prec@1 53.906 (50.927)	Prec@5 83.594 (80.637)
Epoch: [64][3450/14090]	Time 0.737 (0.767)	Data 0.001 (0.003)	Loss 1.6646 (1.8871)	Prec@1 53.906 (50.927)	Prec@5 83.594 (80.633)
Epoch: [64][3460/14090]	Time 0.750 (0.767)	Data 0.001 (0.003)	Loss 2.1015 (1.8873)	Prec@1 42.188 (50.924)	Prec@5 78.125 (80.631)
Epoch: [64][3470/14090]	Time 0.756 (0.767)	Data 0.001 (0.003)	Loss 2.2229 (1.8874)	Prec@1 40.625 (50.923)	Prec@5 75.781 (80.630)
Epoch: [64][3480/14090]	Time 0.878 (0.767)	Data 0.001 (0.002)	Loss 1.9419 (1.8874)	Prec@1 46.875 (50.920)	Prec@5 78.906 (80.634)
Epoch: [64][3490/14090]	Time 0.731 (0.767)	Data 0.001 (0.002)	Loss 1.7875 (1.8875)	Prec@1 57.031 (50.920)	Prec@5 85.938 (80.630)
Epoch: [64][3500/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 1.9316 (1.8873)	Prec@1 46.094 (50.925)	Prec@5 78.125 (80.634)
Epoch: [64][3510/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 2.2065 (1.8875)	Prec@1 44.531 (50.924)	Prec@5 74.219 (80.629)
Epoch: [64][3520/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 1.8542 (1.8875)	Prec@1 51.562 (50.921)	Prec@5 79.688 (80.628)
Epoch: [64][3530/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 1.7673 (1.8873)	Prec@1 53.906 (50.923)	Prec@5 82.812 (80.636)
Epoch: [64][3540/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 2.1196 (1.8874)	Prec@1 41.406 (50.916)	Prec@5 77.344 (80.635)
Epoch: [64][3550/14090]	Time 0.865 (0.767)	Data 0.001 (0.002)	Loss 1.6883 (1.8874)	Prec@1 54.688 (50.915)	Prec@5 80.469 (80.635)
Epoch: [64][3560/14090]	Time 0.766 (0.767)	Data 0.001 (0.002)	Loss 1.7753 (1.8875)	Prec@1 53.906 (50.912)	Prec@5 82.812 (80.634)
Epoch: [64][3570/14090]	Time 0.770 (0.767)	Data 0.001 (0.002)	Loss 1.7784 (1.8874)	Prec@1 56.250 (50.918)	Prec@5 82.812 (80.636)
Epoch: [64][3580/14090]	Time 0.762 (0.767)	Data 0.001 (0.002)	Loss 1.8289 (1.8874)	Prec@1 49.219 (50.920)	Prec@5 78.906 (80.635)
Epoch: [64][3590/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 2.0719 (1.8873)	Prec@1 40.625 (50.924)	Prec@5 79.688 (80.639)
Epoch: [64][3600/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 1.7095 (1.8872)	Prec@1 57.031 (50.923)	Prec@5 83.594 (80.643)
Epoch: [64][3610/14090]	Time 0.778 (0.767)	Data 0.001 (0.002)	Loss 1.7723 (1.8872)	Prec@1 55.469 (50.927)	Prec@5 80.469 (80.640)
Epoch: [64][3620/14090]	Time 0.854 (0.767)	Data 0.001 (0.002)	Loss 1.5040 (1.8871)	Prec@1 59.375 (50.926)	Prec@5 86.719 (80.640)
Epoch: [64][3630/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 1.9934 (1.8874)	Prec@1 45.312 (50.918)	Prec@5 82.031 (80.636)
Epoch: [64][3640/14090]	Time 0.725 (0.767)	Data 0.001 (0.002)	Loss 2.1789 (1.8874)	Prec@1 46.875 (50.917)	Prec@5 79.688 (80.639)
Epoch: [64][3650/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 1.7157 (1.8875)	Prec@1 53.125 (50.919)	Prec@5 89.062 (80.641)
Epoch: [64][3660/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.1533 (1.8875)	Prec@1 39.062 (50.914)	Prec@5 73.438 (80.644)
Epoch: [64][3670/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 1.6403 (1.8874)	Prec@1 59.375 (50.920)	Prec@5 86.719 (80.646)
Epoch: [64][3680/14090]	Time 0.723 (0.767)	Data 0.001 (0.002)	Loss 1.7894 (1.8873)	Prec@1 57.812 (50.925)	Prec@5 78.906 (80.644)
Epoch: [64][3690/14090]	Time 0.883 (0.767)	Data 0.001 (0.002)	Loss 1.7380 (1.8874)	Prec@1 54.688 (50.926)	Prec@5 82.812 (80.644)
Epoch: [64][3700/14090]	Time 0.762 (0.767)	Data 0.001 (0.002)	Loss 1.6097 (1.8873)	Prec@1 54.688 (50.928)	Prec@5 86.719 (80.648)
Epoch: [64][3710/14090]	Time 0.728 (0.767)	Data 0.001 (0.002)	Loss 1.9936 (1.8875)	Prec@1 50.000 (50.923)	Prec@5 78.906 (80.643)
Epoch: [64][3720/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 2.0455 (1.8875)	Prec@1 42.188 (50.926)	Prec@5 78.125 (80.645)
Epoch: [64][3730/14090]	Time 0.761 (0.767)	Data 0.001 (0.002)	Loss 1.9965 (1.8874)	Prec@1 47.656 (50.929)	Prec@5 74.219 (80.646)
Epoch: [64][3740/14090]	Time 0.726 (0.767)	Data 0.001 (0.002)	Loss 1.8076 (1.8873)	Prec@1 49.219 (50.929)	Prec@5 78.906 (80.649)
Epoch: [64][3750/14090]	Time 0.767 (0.767)	Data 0.001 (0.002)	Loss 2.1466 (1.8875)	Prec@1 46.094 (50.923)	Prec@5 76.562 (80.644)
Epoch: [64][3760/14090]	Time 0.863 (0.767)	Data 0.001 (0.002)	Loss 1.9477 (1.8876)	Prec@1 47.656 (50.919)	Prec@5 78.906 (80.640)
Epoch: [64][3770/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 1.8688 (1.8873)	Prec@1 50.781 (50.927)	Prec@5 80.469 (80.646)
Epoch: [64][3780/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 1.8517 (1.8874)	Prec@1 50.000 (50.925)	Prec@5 81.250 (80.646)
Epoch: [64][3790/14090]	Time 0.730 (0.767)	Data 0.003 (0.002)	Loss 1.8449 (1.8874)	Prec@1 54.688 (50.923)	Prec@5 82.031 (80.646)
Epoch: [64][3800/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 1.6305 (1.8872)	Prec@1 57.031 (50.927)	Prec@5 86.719 (80.652)
Epoch: [64][3810/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 1.7075 (1.8870)	Prec@1 49.219 (50.928)	Prec@5 79.688 (80.656)
Epoch: [64][3820/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 2.0312 (1.8869)	Prec@1 52.344 (50.929)	Prec@5 79.688 (80.659)
Epoch: [64][3830/14090]	Time 0.867 (0.767)	Data 0.001 (0.002)	Loss 1.6916 (1.8866)	Prec@1 52.344 (50.935)	Prec@5 82.812 (80.665)
Epoch: [64][3840/14090]	Time 0.722 (0.767)	Data 0.001 (0.002)	Loss 1.8061 (1.8865)	Prec@1 50.000 (50.936)	Prec@5 81.250 (80.668)
Epoch: [64][3850/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 2.0350 (1.8867)	Prec@1 50.781 (50.937)	Prec@5 79.688 (80.669)
Epoch: [64][3860/14090]	Time 0.763 (0.767)	Data 0.001 (0.002)	Loss 1.8273 (1.8867)	Prec@1 50.781 (50.937)	Prec@5 85.156 (80.668)
Epoch: [64][3870/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 1.8052 (1.8867)	Prec@1 50.781 (50.934)	Prec@5 85.156 (80.669)
Epoch: [64][3880/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 1.9430 (1.8868)	Prec@1 50.781 (50.931)	Prec@5 81.250 (80.672)
Epoch: [64][3890/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 1.8177 (1.8869)	Prec@1 52.344 (50.930)	Prec@5 82.812 (80.670)
Epoch: [64][3900/14090]	Time 0.983 (0.767)	Data 0.001 (0.002)	Loss 1.7448 (1.8868)	Prec@1 50.000 (50.931)	Prec@5 83.594 (80.669)
Epoch: [64][3910/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 2.0563 (1.8867)	Prec@1 46.875 (50.931)	Prec@5 78.906 (80.672)
Epoch: [64][3920/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 1.9393 (1.8867)	Prec@1 50.000 (50.931)	Prec@5 78.906 (80.671)
Epoch: [64][3930/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 1.8400 (1.8867)	Prec@1 52.344 (50.934)	Prec@5 85.938 (80.672)
Epoch: [64][3940/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 1.9594 (1.8866)	Prec@1 47.656 (50.933)	Prec@5 82.031 (80.676)
Epoch: [64][3950/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 1.7008 (1.8865)	Prec@1 54.688 (50.935)	Prec@5 81.250 (80.676)
Epoch: [64][3960/14090]	Time 0.725 (0.767)	Data 0.001 (0.002)	Loss 1.8115 (1.8863)	Prec@1 53.125 (50.939)	Prec@5 84.375 (80.679)
Epoch: [64][3970/14090]	Time 0.878 (0.767)	Data 0.001 (0.002)	Loss 1.9385 (1.8864)	Prec@1 53.125 (50.933)	Prec@5 78.906 (80.680)
Epoch: [64][3980/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 1.6169 (1.8865)	Prec@1 53.906 (50.929)	Prec@5 85.938 (80.677)
Epoch: [64][3990/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 1.9678 (1.8866)	Prec@1 48.438 (50.931)	Prec@5 78.906 (80.671)
Epoch: [64][4000/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 1.6146 (1.8865)	Prec@1 58.594 (50.932)	Prec@5 83.594 (80.668)
Epoch: [64][4010/14090]	Time 0.764 (0.767)	Data 0.001 (0.002)	Loss 1.7494 (1.8865)	Prec@1 55.469 (50.934)	Prec@5 83.594 (80.670)
Epoch: [64][4020/14090]	Time 0.766 (0.767)	Data 0.001 (0.002)	Loss 1.9301 (1.8869)	Prec@1 49.219 (50.925)	Prec@5 78.906 (80.664)
Epoch: [64][4030/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 1.9027 (1.8870)	Prec@1 50.000 (50.926)	Prec@5 81.250 (80.662)
Epoch: [64][4040/14090]	Time 0.845 (0.767)	Data 0.001 (0.002)	Loss 2.1356 (1.8870)	Prec@1 47.656 (50.925)	Prec@5 77.344 (80.664)
Epoch: [64][4050/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.2056 (1.8871)	Prec@1 49.219 (50.921)	Prec@5 75.781 (80.660)
Epoch: [64][4060/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 1.9442 (1.8871)	Prec@1 52.344 (50.921)	Prec@5 79.688 (80.660)
Epoch: [64][4070/14090]	Time 0.780 (0.767)	Data 0.001 (0.002)	Loss 1.7612 (1.8869)	Prec@1 54.688 (50.926)	Prec@5 77.344 (80.662)
Epoch: [64][4080/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 1.9699 (1.8870)	Prec@1 49.219 (50.926)	Prec@5 82.812 (80.660)
Epoch: [64][4090/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 2.1071 (1.8873)	Prec@1 46.875 (50.920)	Prec@5 78.125 (80.658)
Epoch: [64][4100/14090]	Time 0.770 (0.767)	Data 0.001 (0.002)	Loss 2.0167 (1.8873)	Prec@1 50.000 (50.921)	Prec@5 77.344 (80.658)
Epoch: [64][4110/14090]	Time 0.867 (0.767)	Data 0.001 (0.002)	Loss 2.1571 (1.8875)	Prec@1 44.531 (50.916)	Prec@5 74.219 (80.655)
Epoch: [64][4120/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 1.7076 (1.8875)	Prec@1 53.906 (50.918)	Prec@5 84.375 (80.657)
Epoch: [64][4130/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 2.0933 (1.8875)	Prec@1 49.219 (50.917)	Prec@5 76.562 (80.657)
Epoch: [64][4140/14090]	Time 0.777 (0.767)	Data 0.001 (0.002)	Loss 1.6931 (1.8875)	Prec@1 54.688 (50.917)	Prec@5 82.031 (80.658)
Epoch: [64][4150/14090]	Time 0.752 (0.767)	Data 0.002 (0.002)	Loss 2.0049 (1.8876)	Prec@1 53.125 (50.917)	Prec@5 79.688 (80.656)
Epoch: [64][4160/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 1.8557 (1.8878)	Prec@1 46.875 (50.910)	Prec@5 78.906 (80.653)
Epoch: [64][4170/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 1.8785 (1.8875)	Prec@1 51.562 (50.918)	Prec@5 84.375 (80.660)
Epoch: [64][4180/14090]	Time 0.875 (0.767)	Data 0.001 (0.002)	Loss 1.9334 (1.8875)	Prec@1 50.781 (50.917)	Prec@5 81.250 (80.656)
Epoch: [64][4190/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 1.8159 (1.8875)	Prec@1 51.562 (50.915)	Prec@5 80.469 (80.656)
Epoch: [64][4200/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 1.9855 (1.8877)	Prec@1 49.219 (50.913)	Prec@5 79.688 (80.655)
Epoch: [64][4210/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 1.8281 (1.8876)	Prec@1 55.469 (50.916)	Prec@5 79.688 (80.657)
Epoch: [64][4220/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 1.7989 (1.8874)	Prec@1 55.469 (50.919)	Prec@5 82.031 (80.661)
Epoch: [64][4230/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 2.0608 (1.8875)	Prec@1 53.125 (50.922)	Prec@5 77.344 (80.661)
Epoch: [64][4240/14090]	Time 0.774 (0.767)	Data 0.001 (0.002)	Loss 2.0094 (1.8874)	Prec@1 46.875 (50.925)	Prec@5 80.469 (80.662)
Epoch: [64][4250/14090]	Time 0.829 (0.767)	Data 0.001 (0.002)	Loss 1.8040 (1.8875)	Prec@1 50.781 (50.922)	Prec@5 81.250 (80.661)
Epoch: [64][4260/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 1.8995 (1.8877)	Prec@1 49.219 (50.914)	Prec@5 82.031 (80.659)
Epoch: [64][4270/14090]	Time 0.726 (0.767)	Data 0.001 (0.002)	Loss 1.9353 (1.8876)	Prec@1 46.094 (50.917)	Prec@5 81.250 (80.663)
Epoch: [64][4280/14090]	Time 0.728 (0.767)	Data 0.001 (0.002)	Loss 2.1082 (1.8876)	Prec@1 42.188 (50.915)	Prec@5 71.875 (80.660)
Epoch: [64][4290/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 2.1341 (1.8878)	Prec@1 43.750 (50.914)	Prec@5 78.125 (80.659)
Epoch: [64][4300/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 1.9188 (1.8878)	Prec@1 50.000 (50.913)	Prec@5 82.812 (80.658)
Epoch: [64][4310/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 1.9611 (1.8878)	Prec@1 45.312 (50.914)	Prec@5 82.031 (80.662)
Epoch: [64][4320/14090]	Time 0.815 (0.767)	Data 0.001 (0.002)	Loss 1.8533 (1.8878)	Prec@1 49.219 (50.915)	Prec@5 81.250 (80.661)
Epoch: [64][4330/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 1.8107 (1.8877)	Prec@1 52.344 (50.917)	Prec@5 80.469 (80.661)
Epoch: [64][4340/14090]	Time 0.726 (0.767)	Data 0.001 (0.002)	Loss 2.0640 (1.8878)	Prec@1 45.312 (50.914)	Prec@5 78.906 (80.659)
Epoch: [64][4350/14090]	Time 0.765 (0.767)	Data 0.001 (0.002)	Loss 1.8757 (1.8877)	Prec@1 51.562 (50.912)	Prec@5 78.125 (80.660)
Epoch: [64][4360/14090]	Time 0.728 (0.767)	Data 0.001 (0.002)	Loss 1.9089 (1.8878)	Prec@1 46.875 (50.908)	Prec@5 85.156 (80.660)
Epoch: [64][4370/14090]	Time 0.771 (0.767)	Data 0.001 (0.002)	Loss 1.9279 (1.8878)	Prec@1 53.906 (50.910)	Prec@5 78.906 (80.659)
Epoch: [64][4380/14090]	Time 0.727 (0.767)	Data 0.001 (0.002)	Loss 1.9527 (1.8878)	Prec@1 49.219 (50.908)	Prec@5 78.906 (80.659)
Epoch: [64][4390/14090]	Time 0.872 (0.767)	Data 0.001 (0.002)	Loss 1.9034 (1.8879)	Prec@1 48.438 (50.907)	Prec@5 81.250 (80.656)
Epoch: [64][4400/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 1.8886 (1.8878)	Prec@1 48.438 (50.910)	Prec@5 82.031 (80.658)
Epoch: [64][4410/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 1.9179 (1.8879)	Prec@1 50.781 (50.906)	Prec@5 76.562 (80.653)
Epoch: [64][4420/14090]	Time 0.771 (0.767)	Data 0.001 (0.002)	Loss 1.6882 (1.8878)	Prec@1 51.562 (50.907)	Prec@5 89.844 (80.655)
Epoch: [64][4430/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 1.9095 (1.8877)	Prec@1 55.469 (50.910)	Prec@5 78.906 (80.657)
Epoch: [64][4440/14090]	Time 0.762 (0.767)	Data 0.001 (0.002)	Loss 1.9291 (1.8878)	Prec@1 46.875 (50.907)	Prec@5 81.250 (80.656)
Epoch: [64][4450/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 1.5785 (1.8879)	Prec@1 57.031 (50.906)	Prec@5 85.938 (80.652)
Epoch: [64][4460/14090]	Time 0.839 (0.766)	Data 0.001 (0.002)	Loss 2.0433 (1.8880)	Prec@1 46.094 (50.901)	Prec@5 82.031 (80.654)
Epoch: [64][4470/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.1639 (1.8881)	Prec@1 40.625 (50.898)	Prec@5 74.219 (80.651)
Epoch: [64][4480/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 1.8024 (1.8880)	Prec@1 50.781 (50.903)	Prec@5 82.031 (80.654)
Epoch: [64][4490/14090]	Time 0.720 (0.766)	Data 0.001 (0.002)	Loss 1.9892 (1.8879)	Prec@1 47.656 (50.906)	Prec@5 78.906 (80.657)
Epoch: [64][4500/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 2.0921 (1.8878)	Prec@1 48.438 (50.906)	Prec@5 73.438 (80.657)
Epoch: [64][4510/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.1707 (1.8877)	Prec@1 48.438 (50.907)	Prec@5 71.875 (80.658)
Epoch: [64][4520/14090]	Time 0.722 (0.766)	Data 0.001 (0.002)	Loss 1.7479 (1.8878)	Prec@1 51.562 (50.901)	Prec@5 79.688 (80.655)
Epoch: [64][4530/14090]	Time 0.847 (0.766)	Data 0.001 (0.002)	Loss 1.9802 (1.8876)	Prec@1 48.438 (50.905)	Prec@5 78.906 (80.656)
Epoch: [64][4540/14090]	Time 0.742 (0.766)	Data 0.003 (0.002)	Loss 2.2017 (1.8877)	Prec@1 46.094 (50.903)	Prec@5 77.344 (80.654)
Epoch: [64][4550/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 1.6874 (1.8877)	Prec@1 57.812 (50.905)	Prec@5 82.031 (80.654)
Epoch: [64][4560/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 1.7960 (1.8876)	Prec@1 53.906 (50.904)	Prec@5 81.250 (80.654)
Epoch: [64][4570/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 1.7824 (1.8878)	Prec@1 50.781 (50.901)	Prec@5 80.469 (80.651)
Epoch: [64][4580/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 1.9180 (1.8879)	Prec@1 53.906 (50.898)	Prec@5 82.812 (80.650)
Epoch: [64][4590/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 1.8523 (1.8878)	Prec@1 52.344 (50.898)	Prec@5 77.344 (80.651)
Epoch: [64][4600/14090]	Time 0.840 (0.766)	Data 0.001 (0.002)	Loss 1.8980 (1.8878)	Prec@1 42.188 (50.896)	Prec@5 79.688 (80.652)
Epoch: [64][4610/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 2.1813 (1.8880)	Prec@1 45.312 (50.894)	Prec@5 72.656 (80.646)
Epoch: [64][4620/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 1.8957 (1.8878)	Prec@1 48.438 (50.898)	Prec@5 85.156 (80.651)
Epoch: [64][4630/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 2.0127 (1.8878)	Prec@1 47.656 (50.900)	Prec@5 78.906 (80.650)
Epoch: [64][4640/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 1.9757 (1.8878)	Prec@1 51.562 (50.901)	Prec@5 78.906 (80.652)
Epoch: [64][4650/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 1.8480 (1.8879)	Prec@1 49.219 (50.901)	Prec@5 82.031 (80.652)
Epoch: [64][4660/14090]	Time 0.776 (0.766)	Data 0.001 (0.002)	Loss 1.9378 (1.8879)	Prec@1 55.469 (50.904)	Prec@5 78.906 (80.652)
Epoch: [64][4670/14090]	Time 0.887 (0.766)	Data 0.001 (0.002)	Loss 1.7696 (1.8878)	Prec@1 56.250 (50.903)	Prec@5 78.906 (80.653)
Epoch: [64][4680/14090]	Time 0.728 (0.766)	Data 0.001 (0.002)	Loss 1.7837 (1.8878)	Prec@1 55.469 (50.900)	Prec@5 82.812 (80.654)
Epoch: [64][4690/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 2.0374 (1.8879)	Prec@1 50.781 (50.899)	Prec@5 75.000 (80.652)
Epoch: [64][4700/14090]	Time 0.761 (0.766)	Data 0.002 (0.002)	Loss 1.9388 (1.8879)	Prec@1 53.125 (50.903)	Prec@5 82.031 (80.654)
Epoch: [64][4710/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 1.8178 (1.8879)	Prec@1 52.344 (50.901)	Prec@5 82.812 (80.654)
Epoch: [64][4720/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 1.9119 (1.8878)	Prec@1 50.000 (50.900)	Prec@5 79.688 (80.651)
Epoch: [64][4730/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 1.6447 (1.8877)	Prec@1 53.125 (50.900)	Prec@5 89.062 (80.653)
Epoch: [64][4740/14090]	Time 0.844 (0.766)	Data 0.001 (0.002)	Loss 1.9504 (1.8877)	Prec@1 50.000 (50.900)	Prec@5 78.125 (80.653)
Epoch: [64][4750/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 1.8017 (1.8876)	Prec@1 57.031 (50.905)	Prec@5 83.594 (80.655)
Epoch: [64][4760/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.1691 (1.8877)	Prec@1 47.656 (50.903)	Prec@5 72.656 (80.653)
Epoch: [64][4770/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 1.7634 (1.8877)	Prec@1 54.688 (50.904)	Prec@5 82.031 (80.650)
Epoch: [64][4780/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 1.9080 (1.8877)	Prec@1 47.656 (50.902)	Prec@5 79.688 (80.650)
Epoch: [64][4790/14090]	Time 0.761 (0.766)	Data 0.001 (0.002)	Loss 1.5593 (1.8878)	Prec@1 54.688 (50.901)	Prec@5 86.719 (80.649)
Epoch: [64][4800/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 1.9368 (1.8877)	Prec@1 51.562 (50.902)	Prec@5 79.688 (80.650)
Epoch: [64][4810/14090]	Time 0.957 (0.766)	Data 0.001 (0.002)	Loss 1.9695 (1.8879)	Prec@1 51.562 (50.902)	Prec@5 76.562 (80.647)
Epoch: [64][4820/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 1.9143 (1.8878)	Prec@1 46.094 (50.901)	Prec@5 78.125 (80.646)
Epoch: [64][4830/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 2.1237 (1.8879)	Prec@1 46.875 (50.902)	Prec@5 80.469 (80.647)
Epoch: [64][4840/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 1.8867 (1.8878)	Prec@1 48.438 (50.908)	Prec@5 78.906 (80.647)
Epoch: [64][4850/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 1.8920 (1.8878)	Prec@1 48.438 (50.908)	Prec@5 83.594 (80.648)
Epoch: [64][4860/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.0839 (1.8879)	Prec@1 46.875 (50.909)	Prec@5 75.781 (80.647)
Epoch: [64][4870/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.0328 (1.8878)	Prec@1 50.781 (50.910)	Prec@5 78.125 (80.648)
Epoch: [64][4880/14090]	Time 0.838 (0.766)	Data 0.001 (0.002)	Loss 2.2229 (1.8878)	Prec@1 49.219 (50.907)	Prec@5 73.438 (80.648)
Epoch: [64][4890/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 1.6393 (1.8878)	Prec@1 55.469 (50.909)	Prec@5 86.719 (80.649)
Epoch: [64][4900/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 2.1565 (1.8879)	Prec@1 44.531 (50.905)	Prec@5 75.000 (80.648)
Epoch: [64][4910/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.0366 (1.8879)	Prec@1 52.344 (50.906)	Prec@5 78.906 (80.649)
Epoch: [64][4920/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 2.0404 (1.8880)	Prec@1 44.531 (50.905)	Prec@5 79.688 (80.646)
Epoch: [64][4930/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 1.7991 (1.8880)	Prec@1 48.438 (50.903)	Prec@5 84.375 (80.647)
Epoch: [64][4940/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 1.9169 (1.8880)	Prec@1 53.906 (50.903)	Prec@5 79.688 (80.645)
Epoch: [64][4950/14090]	Time 0.907 (0.766)	Data 0.001 (0.002)	Loss 1.7667 (1.8880)	Prec@1 53.125 (50.904)	Prec@5 83.594 (80.646)
Epoch: [64][4960/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 1.5997 (1.8879)	Prec@1 55.469 (50.904)	Prec@5 87.500 (80.649)
Epoch: [64][4970/14090]	Time 0.727 (0.766)	Data 0.001 (0.002)	Loss 1.8488 (1.8880)	Prec@1 50.781 (50.904)	Prec@5 84.375 (80.647)
Epoch: [64][4980/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 1.7797 (1.8879)	Prec@1 53.125 (50.907)	Prec@5 82.812 (80.647)
Epoch: [64][4990/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 1.7396 (1.8878)	Prec@1 53.906 (50.908)	Prec@5 82.031 (80.649)
Epoch: [64][5000/14090]	Time 0.726 (0.766)	Data 0.001 (0.002)	Loss 2.2300 (1.8880)	Prec@1 46.094 (50.903)	Prec@5 74.219 (80.647)
Epoch: [64][5010/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 1.8729 (1.8879)	Prec@1 45.312 (50.904)	Prec@5 80.469 (80.647)
Epoch: [64][5020/14090]	Time 0.878 (0.766)	Data 0.001 (0.002)	Loss 1.7054 (1.8877)	Prec@1 53.906 (50.906)	Prec@5 84.375 (80.649)
Epoch: [64][5030/14090]	Time 0.764 (0.766)	Data 0.001 (0.002)	Loss 1.5434 (1.8876)	Prec@1 58.594 (50.907)	Prec@5 87.500 (80.652)
Epoch: [64][5040/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 1.8714 (1.8875)	Prec@1 46.094 (50.910)	Prec@5 83.594 (80.654)
Epoch: [64][5050/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 1.9014 (1.8875)	Prec@1 51.562 (50.909)	Prec@5 81.250 (80.653)
Epoch: [64][5060/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 1.8628 (1.8875)	Prec@1 50.000 (50.909)	Prec@5 80.469 (80.654)
Epoch: [64][5070/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.0133 (1.8875)	Prec@1 45.312 (50.908)	Prec@5 77.344 (80.654)
Epoch: [64][5080/14090]	Time 0.748 (0.766)	Data 0.005 (0.002)	Loss 1.8408 (1.8876)	Prec@1 51.562 (50.906)	Prec@5 82.812 (80.652)
Epoch: [64][5090/14090]	Time 0.899 (0.766)	Data 0.001 (0.002)	Loss 1.8070 (1.8877)	Prec@1 57.812 (50.906)	Prec@5 75.781 (80.650)
Epoch: [64][5100/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 1.9817 (1.8879)	Prec@1 51.562 (50.905)	Prec@5 78.125 (80.646)
Epoch: [64][5110/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 1.6929 (1.8881)	Prec@1 53.906 (50.898)	Prec@5 82.812 (80.642)
Epoch: [64][5120/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 1.7857 (1.8883)	Prec@1 56.250 (50.897)	Prec@5 77.344 (80.635)
Epoch: [64][5130/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 1.8271 (1.8884)	Prec@1 54.688 (50.895)	Prec@5 85.156 (80.635)
Epoch: [64][5140/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 1.9929 (1.8885)	Prec@1 50.781 (50.890)	Prec@5 77.344 (80.630)
Epoch: [64][5150/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 1.8338 (1.8885)	Prec@1 57.031 (50.893)	Prec@5 79.688 (80.629)
Epoch: [64][5160/14090]	Time 0.847 (0.766)	Data 0.001 (0.002)	Loss 1.8564 (1.8886)	Prec@1 50.781 (50.891)	Prec@5 78.125 (80.628)
Epoch: [64][5170/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 1.5173 (1.8886)	Prec@1 59.375 (50.889)	Prec@5 89.062 (80.629)
Epoch: [64][5180/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 2.0395 (1.8885)	Prec@1 47.656 (50.892)	Prec@5 80.469 (80.632)
Epoch: [64][5190/14090]	Time 0.725 (0.766)	Data 0.001 (0.002)	Loss 1.8362 (1.8886)	Prec@1 48.438 (50.888)	Prec@5 82.031 (80.629)
Epoch: [64][5200/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 2.0301 (1.8885)	Prec@1 46.094 (50.891)	Prec@5 72.656 (80.631)
Epoch: [64][5210/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 1.9090 (1.8885)	Prec@1 47.656 (50.888)	Prec@5 82.812 (80.632)
Epoch: [64][5220/14090]	Time 0.728 (0.766)	Data 0.001 (0.002)	Loss 1.7929 (1.8884)	Prec@1 53.125 (50.893)	Prec@5 82.031 (80.633)
Epoch: [64][5230/14090]	Time 0.879 (0.766)	Data 0.001 (0.002)	Loss 2.0238 (1.8886)	Prec@1 48.438 (50.887)	Prec@5 80.469 (80.631)
Epoch: [64][5240/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.0066 (1.8885)	Prec@1 50.000 (50.888)	Prec@5 78.125 (80.630)
Epoch: [64][5250/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 2.1121 (1.8885)	Prec@1 52.344 (50.889)	Prec@5 77.344 (80.630)
Epoch: [64][5260/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 1.8233 (1.8885)	Prec@1 51.562 (50.892)	Prec@5 80.469 (80.631)
Epoch: [64][5270/14090]	Time 0.727 (0.766)	Data 0.001 (0.002)	Loss 2.0234 (1.8885)	Prec@1 53.906 (50.891)	Prec@5 78.125 (80.631)
Epoch: [64][5280/14090]	Time 0.767 (0.766)	Data 0.001 (0.002)	Loss 2.0778 (1.8886)	Prec@1 46.875 (50.890)	Prec@5 79.688 (80.629)
Epoch: [64][5290/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 1.6180 (1.8887)	Prec@1 57.031 (50.890)	Prec@5 86.719 (80.627)
Epoch: [64][5300/14090]	Time 0.827 (0.766)	Data 0.001 (0.002)	Loss 2.0022 (1.8888)	Prec@1 49.219 (50.887)	Prec@5 77.344 (80.624)
Epoch: [64][5310/14090]	Time 0.722 (0.766)	Data 0.001 (0.002)	Loss 1.6965 (1.8889)	Prec@1 57.812 (50.887)	Prec@5 85.938 (80.624)
Epoch: [64][5320/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 1.8972 (1.8889)	Prec@1 55.469 (50.892)	Prec@5 78.906 (80.622)
Epoch: [64][5330/14090]	Time 0.722 (0.766)	Data 0.001 (0.002)	Loss 2.0080 (1.8888)	Prec@1 51.562 (50.891)	Prec@5 80.469 (80.623)
Epoch: [64][5340/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 1.7181 (1.8886)	Prec@1 54.688 (50.898)	Prec@5 82.031 (80.626)
Epoch: [64][5350/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 1.6549 (1.8885)	Prec@1 55.469 (50.899)	Prec@5 85.156 (80.623)
Epoch: [64][5360/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 1.7563 (1.8884)	Prec@1 50.781 (50.907)	Prec@5 84.375 (80.625)
Epoch: [64][5370/14090]	Time 0.845 (0.766)	Data 0.001 (0.002)	Loss 2.1304 (1.8884)	Prec@1 46.094 (50.910)	Prec@5 78.125 (80.624)
Epoch: [64][5380/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 1.9985 (1.8883)	Prec@1 49.219 (50.908)	Prec@5 77.344 (80.625)
Epoch: [64][5390/14090]	Time 0.724 (0.766)	Data 0.001 (0.002)	Loss 1.6150 (1.8882)	Prec@1 53.906 (50.912)	Prec@5 84.375 (80.629)
Epoch: [64][5400/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 1.8336 (1.8883)	Prec@1 53.906 (50.911)	Prec@5 80.469 (80.627)
Epoch: [64][5410/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 2.1681 (1.8883)	Prec@1 43.750 (50.905)	Prec@5 75.000 (80.626)
Epoch: [64][5420/14090]	Time 0.764 (0.766)	Data 0.001 (0.002)	Loss 1.8780 (1.8884)	Prec@1 48.438 (50.902)	Prec@5 83.594 (80.627)
Epoch: [64][5430/14090]	Time 0.768 (0.766)	Data 0.001 (0.002)	Loss 1.9206 (1.8884)	Prec@1 50.781 (50.901)	Prec@5 82.031 (80.626)
Epoch: [64][5440/14090]	Time 0.839 (0.766)	Data 0.001 (0.002)	Loss 1.8284 (1.8882)	Prec@1 48.438 (50.899)	Prec@5 82.812 (80.630)
Epoch: [64][5450/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 1.8566 (1.8883)	Prec@1 57.812 (50.899)	Prec@5 83.594 (80.630)
Epoch: [64][5460/14090]	Time 0.761 (0.766)	Data 0.001 (0.002)	Loss 1.7352 (1.8883)	Prec@1 53.125 (50.898)	Prec@5 81.250 (80.629)
Epoch: [64][5470/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 2.0328 (1.8883)	Prec@1 46.094 (50.899)	Prec@5 80.469 (80.626)
Epoch: [64][5480/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.0693 (1.8883)	Prec@1 46.094 (50.897)	Prec@5 76.562 (80.628)
Epoch: [64][5490/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 1.9728 (1.8883)	Prec@1 49.219 (50.900)	Prec@5 81.250 (80.630)
Epoch: [64][5500/14090]	Time 0.728 (0.766)	Data 0.001 (0.002)	Loss 2.0865 (1.8884)	Prec@1 50.000 (50.896)	Prec@5 78.125 (80.631)
Epoch: [64][5510/14090]	Time 0.918 (0.766)	Data 0.001 (0.002)	Loss 1.6918 (1.8883)	Prec@1 52.344 (50.891)	Prec@5 83.594 (80.633)
Epoch: [64][5520/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 1.5585 (1.8882)	Prec@1 57.031 (50.891)	Prec@5 87.500 (80.637)
Epoch: [64][5530/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 1.6995 (1.8882)	Prec@1 50.781 (50.889)	Prec@5 85.938 (80.639)
Epoch: [64][5540/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 1.8488 (1.8883)	Prec@1 50.000 (50.889)	Prec@5 82.031 (80.636)
Epoch: [64][5550/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 2.1098 (1.8884)	Prec@1 50.781 (50.887)	Prec@5 76.562 (80.632)
Epoch: [64][5560/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 1.7461 (1.8884)	Prec@1 56.250 (50.887)	Prec@5 83.594 (80.632)
Epoch: [64][5570/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 1.9471 (1.8883)	Prec@1 50.781 (50.887)	Prec@5 78.906 (80.635)
Epoch: [64][5580/14090]	Time 0.830 (0.766)	Data 0.001 (0.002)	Loss 1.7266 (1.8883)	Prec@1 53.906 (50.891)	Prec@5 84.375 (80.634)
Epoch: [64][5590/14090]	Time 0.725 (0.766)	Data 0.001 (0.002)	Loss 1.8340 (1.8882)	Prec@1 53.125 (50.891)	Prec@5 79.688 (80.636)
Epoch: [64][5600/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 2.0793 (1.8883)	Prec@1 47.656 (50.891)	Prec@5 77.344 (80.635)
Epoch: [64][5610/14090]	Time 0.764 (0.766)	Data 0.001 (0.002)	Loss 2.0478 (1.8883)	Prec@1 50.000 (50.891)	Prec@5 82.812 (80.636)
Epoch: [64][5620/14090]	Time 0.782 (0.766)	Data 0.001 (0.002)	Loss 2.0728 (1.8885)	Prec@1 45.312 (50.888)	Prec@5 75.781 (80.632)
Epoch: [64][5630/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 1.8593 (1.8884)	Prec@1 50.781 (50.889)	Prec@5 83.594 (80.633)
Epoch: [64][5640/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 1.8919 (1.8886)	Prec@1 53.906 (50.885)	Prec@5 81.250 (80.632)
Epoch: [64][5650/14090]	Time 0.836 (0.766)	Data 0.001 (0.002)	Loss 1.7120 (1.8886)	Prec@1 54.688 (50.884)	Prec@5 83.594 (80.633)
Epoch: [64][5660/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 1.8390 (1.8887)	Prec@1 54.688 (50.884)	Prec@5 85.156 (80.634)
Epoch: [64][5670/14090]	Time 0.724 (0.766)	Data 0.002 (0.002)	Loss 1.8782 (1.8887)	Prec@1 48.438 (50.884)	Prec@5 79.688 (80.634)
Epoch: [64][5680/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 1.8656 (1.8887)	Prec@1 57.031 (50.883)	Prec@5 83.594 (80.636)
Epoch: [64][5690/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 1.9688 (1.8887)	Prec@1 52.344 (50.883)	Prec@5 78.125 (80.637)
Epoch: [64][5700/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.1069 (1.8887)	Prec@1 45.312 (50.882)	Prec@5 73.438 (80.636)
Epoch: [64][5710/14090]	Time 0.731 (0.766)	Data 0.002 (0.002)	Loss 1.9209 (1.8888)	Prec@1 54.688 (50.880)	Prec@5 78.125 (80.635)
Epoch: [64][5720/14090]	Time 0.857 (0.766)	Data 0.001 (0.002)	Loss 1.7390 (1.8887)	Prec@1 55.469 (50.885)	Prec@5 85.156 (80.638)
Epoch: [64][5730/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 1.7909 (1.8887)	Prec@1 51.562 (50.886)	Prec@5 82.812 (80.641)
Epoch: [64][5740/14090]	Time 0.728 (0.766)	Data 0.001 (0.002)	Loss 1.9794 (1.8887)	Prec@1 50.781 (50.888)	Prec@5 80.469 (80.641)
Epoch: [64][5750/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 1.6619 (1.8887)	Prec@1 57.031 (50.890)	Prec@5 84.375 (80.643)
Epoch: [64][5760/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 1.8496 (1.8887)	Prec@1 50.000 (50.886)	Prec@5 84.375 (80.642)
Epoch: [64][5770/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 1.8196 (1.8886)	Prec@1 50.781 (50.888)	Prec@5 78.125 (80.643)
Epoch: [64][5780/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.0037 (1.8887)	Prec@1 50.000 (50.887)	Prec@5 76.562 (80.640)
Epoch: [64][5790/14090]	Time 0.894 (0.766)	Data 0.001 (0.002)	Loss 1.9584 (1.8887)	Prec@1 48.438 (50.887)	Prec@5 81.250 (80.644)
Epoch: [64][5800/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 1.8127 (1.8887)	Prec@1 50.781 (50.884)	Prec@5 81.250 (80.641)
Epoch: [64][5810/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 1.9507 (1.8887)	Prec@1 49.219 (50.881)	Prec@5 77.344 (80.641)
Epoch: [64][5820/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 1.8145 (1.8889)	Prec@1 51.562 (50.879)	Prec@5 85.156 (80.639)
Epoch: [64][5830/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 1.9293 (1.8889)	Prec@1 48.438 (50.876)	Prec@5 75.781 (80.640)
Epoch: [64][5840/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 1.8241 (1.8888)	Prec@1 52.344 (50.878)	Prec@5 81.250 (80.642)
Epoch: [64][5850/14090]	Time 0.777 (0.766)	Data 0.001 (0.002)	Loss 1.7591 (1.8888)	Prec@1 53.906 (50.878)	Prec@5 83.594 (80.642)
Epoch: [64][5860/14090]	Time 0.908 (0.766)	Data 0.001 (0.002)	Loss 1.7866 (1.8889)	Prec@1 50.781 (50.878)	Prec@5 82.031 (80.642)
Epoch: [64][5870/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 1.9251 (1.8890)	Prec@1 50.000 (50.877)	Prec@5 79.688 (80.640)
Epoch: [64][5880/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 1.9815 (1.8889)	Prec@1 50.781 (50.880)	Prec@5 78.906 (80.641)
Epoch: [64][5890/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 1.5986 (1.8889)	Prec@1 60.156 (50.883)	Prec@5 85.938 (80.640)
Epoch: [64][5900/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 1.7133 (1.8889)	Prec@1 57.031 (50.885)	Prec@5 85.156 (80.643)
Epoch: [64][5910/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 1.8261 (1.8889)	Prec@1 47.656 (50.883)	Prec@5 82.812 (80.644)
Epoch: [64][5920/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 1.7858 (1.8888)	Prec@1 51.562 (50.885)	Prec@5 82.031 (80.646)
Epoch: [64][5930/14090]	Time 0.882 (0.766)	Data 0.001 (0.002)	Loss 2.1191 (1.8887)	Prec@1 44.531 (50.887)	Prec@5 76.562 (80.648)
Epoch: [64][5940/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 1.8956 (1.8887)	Prec@1 51.562 (50.887)	Prec@5 75.000 (80.647)
Epoch: [64][5950/14090]	Time 0.775 (0.766)	Data 0.001 (0.002)	Loss 1.8076 (1.8887)	Prec@1 54.688 (50.885)	Prec@5 82.812 (80.647)
Epoch: [64][5960/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 1.8679 (1.8887)	Prec@1 50.781 (50.884)	Prec@5 78.125 (80.645)
Epoch: [64][5970/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 1.8039 (1.8887)	Prec@1 50.000 (50.887)	Prec@5 79.688 (80.645)
Epoch: [64][5980/14090]	Time 0.776 (0.766)	Data 0.001 (0.002)	Loss 2.0256 (1.8887)	Prec@1 49.219 (50.885)	Prec@5 78.906 (80.646)
Epoch: [64][5990/14090]	Time 0.768 (0.766)	Data 0.001 (0.002)	Loss 1.7637 (1.8888)	Prec@1 48.438 (50.885)	Prec@5 79.688 (80.646)
Epoch: [64][6000/14090]	Time 0.851 (0.766)	Data 0.001 (0.002)	Loss 1.8231 (1.8889)	Prec@1 51.562 (50.883)	Prec@5 81.250 (80.643)
Epoch: [64][6010/14090]	Time 0.718 (0.766)	Data 0.001 (0.002)	Loss 2.0638 (1.8889)	Prec@1 49.219 (50.883)	Prec@5 78.906 (80.642)
Epoch: [64][6020/14090]	Time 0.777 (0.766)	Data 0.001 (0.002)	Loss 1.8618 (1.8890)	Prec@1 47.656 (50.879)	Prec@5 80.469 (80.640)
Epoch: [64][6030/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 1.9623 (1.8890)	Prec@1 40.625 (50.880)	Prec@5 78.125 (80.640)
Epoch: [64][6040/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 2.1014 (1.8890)	Prec@1 42.969 (50.878)	Prec@5 78.906 (80.639)
Epoch: [64][6050/14090]	Time 0.733 (0.766)	Data 0.002 (0.002)	Loss 1.8850 (1.8889)	Prec@1 50.000 (50.880)	Prec@5 78.125 (80.639)
Epoch: [64][6060/14090]	Time 0.717 (0.766)	Data 0.001 (0.002)	Loss 2.0367 (1.8890)	Prec@1 46.875 (50.879)	Prec@5 77.344 (80.638)
Epoch: [64][6070/14090]	Time 0.815 (0.766)	Data 0.001 (0.002)	Loss 1.8685 (1.8889)	Prec@1 53.125 (50.880)	Prec@5 82.031 (80.639)
Epoch: [64][6080/14090]	Time 0.728 (0.766)	Data 0.001 (0.002)	Loss 1.9439 (1.8889)	Prec@1 52.344 (50.879)	Prec@5 77.344 (80.639)
Epoch: [64][6090/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 1.8820 (1.8889)	Prec@1 49.219 (50.882)	Prec@5 79.688 (80.639)
Epoch: [64][6100/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 1.8775 (1.8889)	Prec@1 50.781 (50.882)	Prec@5 78.906 (80.641)
Epoch: [64][6110/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 1.5632 (1.8888)	Prec@1 51.562 (50.880)	Prec@5 85.156 (80.641)
Epoch: [64][6120/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 1.6502 (1.8888)	Prec@1 56.250 (50.883)	Prec@5 84.375 (80.640)
Epoch: [64][6130/14090]	Time 0.765 (0.766)	Data 0.001 (0.002)	Loss 1.9783 (1.8888)	Prec@1 44.531 (50.881)	Prec@5 78.906 (80.640)
Epoch: [64][6140/14090]	Time 0.883 (0.766)	Data 0.001 (0.002)	Loss 1.9368 (1.8888)	Prec@1 49.219 (50.883)	Prec@5 79.688 (80.640)
Epoch: [64][6150/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.0853 (1.8888)	Prec@1 46.094 (50.883)	Prec@5 76.562 (80.640)
Epoch: [64][6160/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 1.7544 (1.8887)	Prec@1 59.375 (50.883)	Prec@5 82.812 (80.641)
Epoch: [64][6170/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 2.1552 (1.8887)	Prec@1 44.531 (50.883)	Prec@5 75.781 (80.640)
Epoch: [64][6180/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 1.7380 (1.8887)	Prec@1 57.812 (50.884)	Prec@5 83.594 (80.638)
Epoch: [64][6190/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 1.8008 (1.8887)	Prec@1 50.000 (50.882)	Prec@5 83.594 (80.638)
Epoch: [64][6200/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 1.8852 (1.8887)	Prec@1 52.344 (50.883)	Prec@5 78.125 (80.636)
Epoch: [64][6210/14090]	Time 0.860 (0.766)	Data 0.001 (0.002)	Loss 1.7389 (1.8887)	Prec@1 57.812 (50.884)	Prec@5 82.031 (80.635)
Epoch: [64][6220/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.1237 (1.8888)	Prec@1 43.750 (50.880)	Prec@5 75.781 (80.633)
Epoch: [64][6230/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 1.9964 (1.8888)	Prec@1 52.344 (50.883)	Prec@5 78.906 (80.633)
Epoch: [64][6240/14090]	Time 0.727 (0.766)	Data 0.001 (0.002)	Loss 2.1419 (1.8887)	Prec@1 48.438 (50.883)	Prec@5 72.656 (80.636)
Epoch: [64][6250/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.1413 (1.8888)	Prec@1 46.875 (50.883)	Prec@5 80.469 (80.633)
Epoch: [64][6260/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 1.7816 (1.8887)	Prec@1 49.219 (50.884)	Prec@5 85.156 (80.636)
Epoch: [64][6270/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 2.0511 (1.8888)	Prec@1 50.000 (50.884)	Prec@5 80.469 (80.635)
Epoch: [64][6280/14090]	Time 0.841 (0.766)	Data 0.001 (0.002)	Loss 1.8780 (1.8887)	Prec@1 50.000 (50.885)	Prec@5 79.688 (80.636)
Epoch: [64][6290/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 1.9177 (1.8887)	Prec@1 55.469 (50.886)	Prec@5 78.125 (80.635)
Epoch: [64][6300/14090]	Time 0.727 (0.766)	Data 0.001 (0.002)	Loss 1.6078 (1.8886)	Prec@1 56.250 (50.885)	Prec@5 87.500 (80.639)
Epoch: [64][6310/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 1.8953 (1.8886)	Prec@1 53.906 (50.885)	Prec@5 81.250 (80.639)
Epoch: [64][6320/14090]	Time 0.765 (0.766)	Data 0.001 (0.002)	Loss 2.0890 (1.8886)	Prec@1 44.531 (50.885)	Prec@5 75.781 (80.639)
Epoch: [64][6330/14090]	Time 0.724 (0.766)	Data 0.001 (0.002)	Loss 1.8987 (1.8886)	Prec@1 53.125 (50.889)	Prec@5 80.469 (80.639)
Epoch: [64][6340/14090]	Time 0.787 (0.766)	Data 0.001 (0.002)	Loss 1.6243 (1.8886)	Prec@1 57.812 (50.891)	Prec@5 87.500 (80.641)
Epoch: [64][6350/14090]	Time 0.907 (0.766)	Data 0.001 (0.002)	Loss 2.0215 (1.8886)	Prec@1 46.094 (50.892)	Prec@5 78.906 (80.640)
Epoch: [64][6360/14090]	Time 0.728 (0.766)	Data 0.001 (0.002)	Loss 1.6138 (1.8886)	Prec@1 57.031 (50.891)	Prec@5 82.812 (80.638)
Epoch: [64][6370/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 1.9801 (1.8885)	Prec@1 45.312 (50.895)	Prec@5 77.344 (80.637)
Epoch: [64][6380/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 1.8818 (1.8885)	Prec@1 48.438 (50.893)	Prec@5 81.250 (80.639)
Epoch: [64][6390/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 1.6114 (1.8884)	Prec@1 57.812 (50.897)	Prec@5 85.156 (80.641)
Epoch: [64][6400/14090]	Time 0.724 (0.766)	Data 0.001 (0.002)	Loss 1.6804 (1.8884)	Prec@1 53.125 (50.898)	Prec@5 85.156 (80.642)
Epoch: [64][6410/14090]	Time 0.720 (0.766)	Data 0.001 (0.002)	Loss 1.5579 (1.8882)	Prec@1 61.719 (50.901)	Prec@5 84.375 (80.643)
Epoch: [64][6420/14090]	Time 0.855 (0.766)	Data 0.001 (0.002)	Loss 1.8791 (1.8882)	Prec@1 53.125 (50.901)	Prec@5 83.594 (80.645)
Epoch: [64][6430/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 1.8149 (1.8882)	Prec@1 54.688 (50.899)	Prec@5 78.906 (80.644)
Epoch: [64][6440/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.0124 (1.8882)	Prec@1 50.781 (50.904)	Prec@5 77.344 (80.642)
Epoch: [64][6450/14090]	Time 0.726 (0.766)	Data 0.001 (0.002)	Loss 1.9428 (1.8882)	Prec@1 48.438 (50.903)	Prec@5 82.812 (80.644)
Epoch: [64][6460/14090]	Time 0.769 (0.766)	Data 0.001 (0.002)	Loss 1.9241 (1.8881)	Prec@1 50.781 (50.905)	Prec@5 82.031 (80.646)
Epoch: [64][6470/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 1.7781 (1.8882)	Prec@1 56.250 (50.904)	Prec@5 85.156 (80.645)
Epoch: [64][6480/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 1.9703 (1.8883)	Prec@1 49.219 (50.906)	Prec@5 78.125 (80.642)
Epoch: [64][6490/14090]	Time 0.855 (0.766)	Data 0.001 (0.002)	Loss 1.7895 (1.8882)	Prec@1 52.344 (50.907)	Prec@5 80.469 (80.643)
Epoch: [64][6500/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 1.9730 (1.8883)	Prec@1 48.438 (50.903)	Prec@5 80.469 (80.640)
Epoch: [64][6510/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 1.7509 (1.8882)	Prec@1 57.031 (50.904)	Prec@5 82.031 (80.640)
Epoch: [64][6520/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 1.8020 (1.8882)	Prec@1 50.000 (50.904)	Prec@5 80.469 (80.639)
Epoch: [64][6530/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 1.9091 (1.8883)	Prec@1 47.656 (50.900)	Prec@5 79.688 (80.636)
Epoch: [64][6540/14090]	Time 0.771 (0.766)	Data 0.001 (0.002)	Loss 1.8889 (1.8885)	Prec@1 51.562 (50.899)	Prec@5 76.562 (80.633)
Epoch: [64][6550/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 1.6055 (1.8884)	Prec@1 54.688 (50.901)	Prec@5 84.375 (80.635)
Epoch: [64][6560/14090]	Time 0.849 (0.766)	Data 0.001 (0.002)	Loss 1.6278 (1.8883)	Prec@1 56.250 (50.902)	Prec@5 83.594 (80.636)
Epoch: [64][6570/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.0917 (1.8884)	Prec@1 51.562 (50.901)	Prec@5 76.562 (80.635)
Epoch: [64][6580/14090]	Time 0.763 (0.766)	Data 0.001 (0.002)	Loss 1.8178 (1.8883)	Prec@1 50.781 (50.902)	Prec@5 83.594 (80.635)
Epoch: [64][6590/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 1.8638 (1.8883)	Prec@1 50.000 (50.900)	Prec@5 81.250 (80.637)
Epoch: [64][6600/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 1.9510 (1.8884)	Prec@1 42.969 (50.897)	Prec@5 82.812 (80.636)
Epoch: [64][6610/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 2.0610 (1.8885)	Prec@1 53.906 (50.894)	Prec@5 75.781 (80.634)
Epoch: [64][6620/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 1.8694 (1.8885)	Prec@1 52.344 (50.893)	Prec@5 80.469 (80.635)
Epoch: [64][6630/14090]	Time 0.878 (0.766)	Data 0.001 (0.002)	Loss 1.9496 (1.8886)	Prec@1 47.656 (50.895)	Prec@5 84.375 (80.634)
Epoch: [64][6640/14090]	Time 0.724 (0.766)	Data 0.001 (0.002)	Loss 1.8615 (1.8886)	Prec@1 51.562 (50.896)	Prec@5 81.250 (80.635)
Epoch: [64][6650/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 2.0134 (1.8885)	Prec@1 50.781 (50.897)	Prec@5 80.469 (80.635)
Epoch: [64][6660/14090]	Time 0.765 (0.766)	Data 0.001 (0.002)	Loss 1.9972 (1.8886)	Prec@1 48.438 (50.893)	Prec@5 78.906 (80.632)
Epoch: [64][6670/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 1.9476 (1.8886)	Prec@1 48.438 (50.895)	Prec@5 76.562 (80.632)
Epoch: [64][6680/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 1.9057 (1.8887)	Prec@1 53.125 (50.892)	Prec@5 77.344 (80.630)
Epoch: [64][6690/14090]	Time 0.728 (0.766)	Data 0.001 (0.002)	Loss 1.9989 (1.8887)	Prec@1 48.438 (50.894)	Prec@5 78.906 (80.629)
Epoch: [64][6700/14090]	Time 0.872 (0.766)	Data 0.001 (0.002)	Loss 1.6130 (1.8886)	Prec@1 59.375 (50.896)	Prec@5 85.938 (80.629)
Epoch: [64][6710/14090]	Time 0.722 (0.766)	Data 0.001 (0.002)	Loss 1.9827 (1.8887)	Prec@1 49.219 (50.897)	Prec@5 78.906 (80.627)
Epoch: [64][6720/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 2.1141 (1.8887)	Prec@1 42.188 (50.894)	Prec@5 77.344 (80.629)
Epoch: [64][6730/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 1.7563 (1.8887)	Prec@1 54.688 (50.895)	Prec@5 83.594 (80.628)
Epoch: [64][6740/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 1.8083 (1.8887)	Prec@1 47.656 (50.894)	Prec@5 82.031 (80.629)
Epoch: [64][6750/14090]	Time 0.762 (0.766)	Data 0.002 (0.002)	Loss 1.8378 (1.8886)	Prec@1 50.781 (50.896)	Prec@5 74.219 (80.631)
Epoch: [64][6760/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 1.8264 (1.8886)	Prec@1 51.562 (50.898)	Prec@5 83.594 (80.631)
Epoch: [64][6770/14090]	Time 0.865 (0.766)	Data 0.001 (0.002)	Loss 1.9074 (1.8886)	Prec@1 51.562 (50.897)	Prec@5 78.906 (80.629)
Epoch: [64][6780/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 1.8982 (1.8887)	Prec@1 51.562 (50.897)	Prec@5 80.469 (80.629)
Epoch: [64][6790/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 1.7168 (1.8885)	Prec@1 53.125 (50.900)	Prec@5 85.938 (80.631)
Epoch: [64][6800/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 1.8748 (1.8885)	Prec@1 54.688 (50.903)	Prec@5 79.688 (80.632)
Epoch: [64][6810/14090]	Time 0.726 (0.766)	Data 0.001 (0.002)	Loss 1.8446 (1.8885)	Prec@1 47.656 (50.901)	Prec@5 83.594 (80.631)
Epoch: [64][6820/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.0241 (1.8886)	Prec@1 42.188 (50.900)	Prec@5 81.250 (80.631)
Epoch: [64][6830/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 1.8343 (1.8884)	Prec@1 56.250 (50.904)	Prec@5 80.469 (80.631)
Epoch: [64][6840/14090]	Time 0.820 (0.766)	Data 0.001 (0.002)	Loss 1.9697 (1.8884)	Prec@1 50.000 (50.905)	Prec@5 79.688 (80.633)
Epoch: [64][6850/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 1.6110 (1.8884)	Prec@1 60.156 (50.905)	Prec@5 87.500 (80.634)
Epoch: [64][6860/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 1.8617 (1.8884)	Prec@1 50.781 (50.906)	Prec@5 79.688 (80.635)
Epoch: [64][6870/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 2.0098 (1.8885)	Prec@1 46.875 (50.903)	Prec@5 78.906 (80.632)
Epoch: [64][6880/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 1.7869 (1.8885)	Prec@1 54.688 (50.902)	Prec@5 78.906 (80.629)
Epoch: [64][6890/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 1.7789 (1.8884)	Prec@1 50.000 (50.900)	Prec@5 82.812 (80.631)
Epoch: [64][6900/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 1.9969 (1.8884)	Prec@1 44.531 (50.901)	Prec@5 81.250 (80.631)
Epoch: [64][6910/14090]	Time 0.863 (0.766)	Data 0.001 (0.002)	Loss 1.8234 (1.8884)	Prec@1 53.125 (50.901)	Prec@5 82.812 (80.631)
Epoch: [64][6920/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.2036 (1.8885)	Prec@1 42.969 (50.896)	Prec@5 75.781 (80.632)
Epoch: [64][6930/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 1.9009 (1.8885)	Prec@1 46.875 (50.895)	Prec@5 85.938 (80.633)
Epoch: [64][6940/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 1.9043 (1.8885)	Prec@1 50.000 (50.896)	Prec@5 82.031 (80.633)
Epoch: [64][6950/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 1.7667 (1.8885)	Prec@1 52.344 (50.897)	Prec@5 83.594 (80.634)
Epoch: [64][6960/14090]	Time 0.725 (0.766)	Data 0.001 (0.002)	Loss 1.8280 (1.8884)	Prec@1 55.469 (50.898)	Prec@5 82.812 (80.634)
Epoch: [64][6970/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 2.0539 (1.8884)	Prec@1 47.656 (50.896)	Prec@5 79.688 (80.636)
Epoch: [64][6980/14090]	Time 0.819 (0.766)	Data 0.001 (0.002)	Loss 1.9277 (1.8885)	Prec@1 49.219 (50.895)	Prec@5 80.469 (80.634)
Epoch: [64][6990/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 1.5059 (1.8884)	Prec@1 59.375 (50.897)	Prec@5 88.281 (80.636)
Epoch: [64][7000/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 1.7976 (1.8883)	Prec@1 49.219 (50.899)	Prec@5 79.688 (80.637)
Epoch: [64][7010/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 1.9255 (1.8884)	Prec@1 47.656 (50.898)	Prec@5 83.594 (80.637)
Epoch: [64][7020/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 2.0863 (1.8884)	Prec@1 51.562 (50.895)	Prec@5 78.125 (80.638)
Epoch: [64][7030/14090]	Time 0.735 (0.766)	Data 0.000 (0.002)	Loss 2.0269 (1.8883)	Prec@1 46.875 (50.895)	Prec@5 79.688 (80.641)
Epoch: [64][7040/14090]	Time 0.780 (0.766)	Data 0.001 (0.002)	Loss 1.9373 (1.8883)	Prec@1 51.562 (50.895)	Prec@5 78.906 (80.642)
Epoch: [64][7050/14090]	Time 0.820 (0.766)	Data 0.001 (0.002)	Loss 1.8418 (1.8884)	Prec@1 49.219 (50.894)	Prec@5 85.156 (80.643)
Epoch: [64][7060/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 1.7844 (1.8884)	Prec@1 57.812 (50.894)	Prec@5 81.250 (80.642)
Epoch: [64][7070/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 1.9721 (1.8886)	Prec@1 48.438 (50.892)	Prec@5 79.688 (80.640)
Epoch: [64][7080/14090]	Time 0.777 (0.766)	Data 0.001 (0.002)	Loss 1.9519 (1.8888)	Prec@1 46.875 (50.890)	Prec@5 82.812 (80.637)
Epoch: [64][7090/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.1218 (1.8889)	Prec@1 46.875 (50.887)	Prec@5 77.344 (80.635)
Epoch: [64][7100/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 1.9496 (1.8890)	Prec@1 51.562 (50.887)	Prec@5 77.344 (80.630)
Epoch: [64][7110/14090]	Time 0.766 (0.766)	Data 0.001 (0.002)	Loss 1.6436 (1.8889)	Prec@1 53.125 (50.888)	Prec@5 86.719 (80.632)
Epoch: [64][7120/14090]	Time 0.874 (0.766)	Data 0.001 (0.002)	Loss 1.9292 (1.8890)	Prec@1 46.875 (50.887)	Prec@5 80.469 (80.630)
Epoch: [64][7130/14090]	Time 0.724 (0.766)	Data 0.001 (0.002)	Loss 1.8057 (1.8889)	Prec@1 51.562 (50.889)	Prec@5 78.906 (80.629)
Epoch: [64][7140/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 1.8120 (1.8889)	Prec@1 50.000 (50.887)	Prec@5 84.375 (80.630)
Epoch: [64][7150/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 1.7045 (1.8890)	Prec@1 54.688 (50.886)	Prec@5 82.812 (80.630)
Epoch: [64][7160/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 1.5393 (1.8889)	Prec@1 58.594 (50.886)	Prec@5 86.719 (80.631)
Epoch: [64][7170/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 1.7959 (1.8889)	Prec@1 50.781 (50.889)	Prec@5 81.250 (80.631)
Epoch: [64][7180/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.0129 (1.8890)	Prec@1 42.969 (50.884)	Prec@5 78.906 (80.630)
Epoch: [64][7190/14090]	Time 0.902 (0.766)	Data 0.002 (0.002)	Loss 1.8736 (1.8891)	Prec@1 47.656 (50.882)	Prec@5 82.812 (80.628)
Epoch: [64][7200/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.0563 (1.8890)	Prec@1 48.438 (50.886)	Prec@5 74.219 (80.629)
Epoch: [64][7210/14090]	Time 0.743 (0.766)	Data 0.002 (0.002)	Loss 1.8733 (1.8891)	Prec@1 53.906 (50.887)	Prec@5 79.688 (80.627)
Epoch: [64][7220/14090]	Time 0.761 (0.766)	Data 0.001 (0.002)	Loss 1.9804 (1.8892)	Prec@1 48.438 (50.886)	Prec@5 75.781 (80.626)
Epoch: [64][7230/14090]	Time 0.769 (0.766)	Data 0.001 (0.002)	Loss 1.8682 (1.8891)	Prec@1 51.562 (50.887)	Prec@5 82.031 (80.628)
Epoch: [64][7240/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 1.6229 (1.8891)	Prec@1 56.250 (50.887)	Prec@5 85.156 (80.630)
Epoch: [64][7250/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 1.7728 (1.8891)	Prec@1 46.875 (50.886)	Prec@5 82.031 (80.630)
Epoch: [64][7260/14090]	Time 0.868 (0.766)	Data 0.001 (0.002)	Loss 1.7685 (1.8890)	Prec@1 53.125 (50.886)	Prec@5 85.156 (80.632)
Epoch: [64][7270/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 1.7000 (1.8890)	Prec@1 60.156 (50.886)	Prec@5 83.594 (80.630)
Epoch: [64][7280/14090]	Time 0.724 (0.766)	Data 0.001 (0.002)	Loss 1.6852 (1.8889)	Prec@1 57.812 (50.890)	Prec@5 81.250 (80.631)
Epoch: [64][7290/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 1.8971 (1.8888)	Prec@1 50.000 (50.893)	Prec@5 81.250 (80.633)
Epoch: [64][7300/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 1.9542 (1.8888)	Prec@1 46.875 (50.892)	Prec@5 84.375 (80.634)
Epoch: [64][7310/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.3334 (1.8890)	Prec@1 37.500 (50.889)	Prec@5 75.781 (80.631)
Epoch: [64][7320/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 1.7122 (1.8889)	Prec@1 51.562 (50.890)	Prec@5 83.594 (80.631)
Epoch: [64][7330/14090]	Time 0.861 (0.766)	Data 0.001 (0.002)	Loss 1.7939 (1.8889)	Prec@1 49.219 (50.890)	Prec@5 79.688 (80.632)
Epoch: [64][7340/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 1.9422 (1.8888)	Prec@1 46.875 (50.891)	Prec@5 77.344 (80.633)
Epoch: [64][7350/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 1.9487 (1.8887)	Prec@1 51.562 (50.890)	Prec@5 78.906 (80.636)
Epoch: [64][7360/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 1.9264 (1.8887)	Prec@1 52.344 (50.890)	Prec@5 77.344 (80.636)
Epoch: [64][7370/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 1.8519 (1.8886)	Prec@1 52.344 (50.894)	Prec@5 75.781 (80.637)
Epoch: [64][7380/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 1.9835 (1.8885)	Prec@1 50.781 (50.895)	Prec@5 76.562 (80.636)
Epoch: [64][7390/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 1.9263 (1.8885)	Prec@1 47.656 (50.897)	Prec@5 85.938 (80.639)
Epoch: [64][7400/14090]	Time 0.857 (0.766)	Data 0.001 (0.002)	Loss 2.1057 (1.8885)	Prec@1 53.125 (50.898)	Prec@5 74.219 (80.638)
Epoch: [64][7410/14090]	Time 0.766 (0.766)	Data 0.001 (0.002)	Loss 2.0444 (1.8884)	Prec@1 49.219 (50.900)	Prec@5 78.125 (80.639)
Epoch: [64][7420/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 1.8251 (1.8883)	Prec@1 46.094 (50.901)	Prec@5 84.375 (80.639)
Epoch: [64][7430/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 1.7275 (1.8884)	Prec@1 50.000 (50.898)	Prec@5 82.812 (80.636)
Epoch: [64][7440/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 1.9318 (1.8884)	Prec@1 50.000 (50.897)	Prec@5 80.469 (80.637)
Epoch: [64][7450/14090]	Time 0.753 (0.766)	Data 0.000 (0.002)	Loss 2.3855 (1.8884)	Prec@1 44.531 (50.897)	Prec@5 72.656 (80.637)
Epoch: [64][7460/14090]	Time 0.770 (0.766)	Data 0.001 (0.002)	Loss 2.0682 (1.8882)	Prec@1 45.312 (50.899)	Prec@5 78.125 (80.639)
Epoch: [64][7470/14090]	Time 0.898 (0.766)	Data 0.001 (0.002)	Loss 1.9279 (1.8882)	Prec@1 50.000 (50.900)	Prec@5 81.250 (80.640)
Epoch: [64][7480/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 1.9191 (1.8883)	Prec@1 46.875 (50.896)	Prec@5 80.469 (80.638)
Epoch: [64][7490/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 1.6595 (1.8882)	Prec@1 54.688 (50.896)	Prec@5 85.938 (80.640)
Epoch: [64][7500/14090]	Time 0.765 (0.766)	Data 0.001 (0.002)	Loss 1.9685 (1.8882)	Prec@1 52.344 (50.897)	Prec@5 75.781 (80.641)
Epoch: [64][7510/14090]	Time 0.770 (0.766)	Data 0.003 (0.002)	Loss 1.8199 (1.8882)	Prec@1 45.312 (50.895)	Prec@5 82.031 (80.641)
Epoch: [64][7520/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 1.7274 (1.8882)	Prec@1 58.594 (50.896)	Prec@5 84.375 (80.641)
Epoch: [64][7530/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 1.7746 (1.8883)	Prec@1 57.031 (50.897)	Prec@5 78.906 (80.642)
Epoch: [64][7540/14090]	Time 0.897 (0.766)	Data 0.001 (0.002)	Loss 1.6506 (1.8883)	Prec@1 52.344 (50.895)	Prec@5 82.812 (80.640)
Epoch: [64][7550/14090]	Time 0.724 (0.766)	Data 0.001 (0.002)	Loss 2.1393 (1.8883)	Prec@1 50.000 (50.895)	Prec@5 77.344 (80.639)
Epoch: [64][7560/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 1.8251 (1.8883)	Prec@1 53.906 (50.897)	Prec@5 82.812 (80.640)
Epoch: [64][7570/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 1.8779 (1.8883)	Prec@1 55.469 (50.898)	Prec@5 76.562 (80.639)
Epoch: [64][7580/14090]	Time 0.727 (0.766)	Data 0.001 (0.002)	Loss 2.0488 (1.8885)	Prec@1 47.656 (50.895)	Prec@5 78.906 (80.637)
Epoch: [64][7590/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 1.8588 (1.8884)	Prec@1 50.000 (50.898)	Prec@5 79.688 (80.638)
Epoch: [64][7600/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 1.9704 (1.8884)	Prec@1 49.219 (50.898)	Prec@5 81.250 (80.638)
Epoch: [64][7610/14090]	Time 0.878 (0.766)	Data 0.001 (0.002)	Loss 1.8743 (1.8884)	Prec@1 50.000 (50.896)	Prec@5 82.812 (80.638)
Epoch: [64][7620/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 1.9849 (1.8884)	Prec@1 50.000 (50.896)	Prec@5 79.688 (80.638)
Epoch: [64][7630/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 1.8701 (1.8885)	Prec@1 53.125 (50.893)	Prec@5 82.812 (80.635)
Epoch: [64][7640/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 2.0279 (1.8884)	Prec@1 55.469 (50.896)	Prec@5 78.906 (80.637)
Epoch: [64][7650/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 1.7683 (1.8884)	Prec@1 56.250 (50.897)	Prec@5 82.031 (80.637)
Epoch: [64][7660/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 1.6573 (1.8884)	Prec@1 54.688 (50.898)	Prec@5 85.156 (80.637)
Epoch: [64][7670/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 1.7965 (1.8884)	Prec@1 57.812 (50.901)	Prec@5 77.344 (80.635)
Epoch: [64][7680/14090]	Time 0.850 (0.766)	Data 0.001 (0.002)	Loss 2.0256 (1.8884)	Prec@1 47.656 (50.904)	Prec@5 78.125 (80.635)
Epoch: [64][7690/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 1.8194 (1.8884)	Prec@1 51.562 (50.905)	Prec@5 80.469 (80.635)
Epoch: [64][7700/14090]	Time 0.779 (0.766)	Data 0.001 (0.002)	Loss 1.7807 (1.8884)	Prec@1 47.656 (50.908)	Prec@5 82.812 (80.636)
Epoch: [64][7710/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 1.7039 (1.8884)	Prec@1 55.469 (50.907)	Prec@5 80.469 (80.636)
Epoch: [64][7720/14090]	Time 0.768 (0.766)	Data 0.001 (0.002)	Loss 2.0725 (1.8885)	Prec@1 43.750 (50.904)	Prec@5 79.688 (80.634)
Epoch: [64][7730/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.0327 (1.8885)	Prec@1 46.875 (50.906)	Prec@5 80.469 (80.634)
Epoch: [64][7740/14090]	Time 0.777 (0.766)	Data 0.001 (0.002)	Loss 1.7824 (1.8884)	Prec@1 57.031 (50.906)	Prec@5 80.469 (80.635)
Epoch: [64][7750/14090]	Time 0.873 (0.766)	Data 0.001 (0.002)	Loss 2.2011 (1.8884)	Prec@1 44.531 (50.906)	Prec@5 71.094 (80.634)
Epoch: [64][7760/14090]	Time 0.720 (0.766)	Data 0.001 (0.002)	Loss 1.6511 (1.8882)	Prec@1 54.688 (50.912)	Prec@5 84.375 (80.636)
Epoch: [64][7770/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 1.9652 (1.8882)	Prec@1 50.781 (50.913)	Prec@5 84.375 (80.637)
Epoch: [64][7780/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.2498 (1.8883)	Prec@1 41.406 (50.913)	Prec@5 75.781 (80.635)
Epoch: [64][7790/14090]	Time 0.726 (0.766)	Data 0.001 (0.002)	Loss 1.7657 (1.8883)	Prec@1 54.688 (50.915)	Prec@5 83.594 (80.635)
Epoch: [64][7800/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 1.9273 (1.8882)	Prec@1 53.125 (50.917)	Prec@5 79.688 (80.635)
Epoch: [64][7810/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 1.5782 (1.8882)	Prec@1 58.594 (50.918)	Prec@5 86.719 (80.636)
Epoch: [64][7820/14090]	Time 0.865 (0.766)	Data 0.001 (0.002)	Loss 1.8578 (1.8882)	Prec@1 53.906 (50.919)	Prec@5 78.906 (80.636)
Epoch: [64][7830/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 2.0846 (1.8883)	Prec@1 41.406 (50.916)	Prec@5 78.125 (80.635)
Epoch: [64][7840/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.1373 (1.8883)	Prec@1 49.219 (50.917)	Prec@5 75.781 (80.635)
Epoch: [64][7850/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 1.8407 (1.8884)	Prec@1 49.219 (50.915)	Prec@5 82.031 (80.634)
Epoch: [64][7860/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.0730 (1.8884)	Prec@1 50.000 (50.913)	Prec@5 74.219 (80.634)
Epoch: [64][7870/14090]	Time 0.723 (0.766)	Data 0.001 (0.002)	Loss 1.6724 (1.8884)	Prec@1 53.125 (50.912)	Prec@5 86.719 (80.634)
Epoch: [64][7880/14090]	Time 0.766 (0.766)	Data 0.001 (0.002)	Loss 2.0354 (1.8883)	Prec@1 53.125 (50.913)	Prec@5 75.781 (80.634)
Epoch: [64][7890/14090]	Time 1.006 (0.766)	Data 0.001 (0.002)	Loss 1.6988 (1.8883)	Prec@1 53.906 (50.913)	Prec@5 84.375 (80.637)
Epoch: [64][7900/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 1.6894 (1.8883)	Prec@1 54.688 (50.912)	Prec@5 82.812 (80.638)
Epoch: [64][7910/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 1.9952 (1.8882)	Prec@1 48.438 (50.914)	Prec@5 80.469 (80.639)
Epoch: [64][7920/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 2.0201 (1.8882)	Prec@1 52.344 (50.915)	Prec@5 76.562 (80.639)
Epoch: [64][7930/14090]	Time 0.768 (0.766)	Data 0.001 (0.002)	Loss 1.9126 (1.8882)	Prec@1 51.562 (50.912)	Prec@5 80.469 (80.639)
Epoch: [64][7940/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 1.9604 (1.8882)	Prec@1 50.781 (50.912)	Prec@5 80.469 (80.639)
Epoch: [64][7950/14090]	Time 0.766 (0.766)	Data 0.001 (0.002)	Loss 1.9234 (1.8881)	Prec@1 52.344 (50.914)	Prec@5 78.906 (80.640)
Epoch: [64][7960/14090]	Time 0.899 (0.766)	Data 0.001 (0.002)	Loss 1.9678 (1.8881)	Prec@1 52.344 (50.915)	Prec@5 77.344 (80.640)
Epoch: [64][7970/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.0397 (1.8881)	Prec@1 45.312 (50.912)	Prec@5 79.688 (80.640)
Epoch: [64][7980/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 1.9082 (1.8882)	Prec@1 52.344 (50.911)	Prec@5 81.250 (80.639)
Epoch: [64][7990/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 2.0268 (1.8881)	Prec@1 50.781 (50.912)	Prec@5 82.031 (80.640)
Epoch: [64][8000/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 1.7485 (1.8881)	Prec@1 53.125 (50.914)	Prec@5 82.812 (80.642)
Epoch: [64][8010/14090]	Time 0.765 (0.766)	Data 0.001 (0.002)	Loss 1.8421 (1.8881)	Prec@1 51.562 (50.913)	Prec@5 82.031 (80.643)
Epoch: [64][8020/14090]	Time 0.726 (0.766)	Data 0.001 (0.002)	Loss 1.8984 (1.8881)	Prec@1 50.781 (50.910)	Prec@5 77.344 (80.643)
Epoch: [64][8030/14090]	Time 0.867 (0.766)	Data 0.001 (0.002)	Loss 2.2743 (1.8880)	Prec@1 41.406 (50.911)	Prec@5 75.000 (80.644)
Epoch: [64][8040/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 1.8230 (1.8882)	Prec@1 50.781 (50.908)	Prec@5 83.594 (80.641)
Epoch: [64][8050/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 1.7745 (1.8881)	Prec@1 56.250 (50.910)	Prec@5 83.594 (80.642)
Epoch: [64][8060/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 1.8838 (1.8882)	Prec@1 49.219 (50.908)	Prec@5 81.250 (80.641)
Epoch: [64][8070/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 1.7555 (1.8882)	Prec@1 53.906 (50.907)	Prec@5 84.375 (80.641)
Epoch: [64][8080/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 2.0312 (1.8884)	Prec@1 50.781 (50.905)	Prec@5 76.562 (80.639)
Epoch: [64][8090/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 1.6097 (1.8884)	Prec@1 60.156 (50.907)	Prec@5 84.375 (80.639)
Epoch: [64][8100/14090]	Time 0.860 (0.766)	Data 0.003 (0.002)	Loss 1.6839 (1.8885)	Prec@1 55.469 (50.905)	Prec@5 82.812 (80.638)
Epoch: [64][8110/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 1.6688 (1.8884)	Prec@1 53.125 (50.905)	Prec@5 85.938 (80.638)
Epoch: [64][8120/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 2.0125 (1.8884)	Prec@1 50.781 (50.904)	Prec@5 78.906 (80.639)
Epoch: [64][8130/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.1335 (1.8885)	Prec@1 44.531 (50.903)	Prec@5 75.000 (80.638)
Epoch: [64][8140/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 1.9054 (1.8885)	Prec@1 42.188 (50.903)	Prec@5 82.031 (80.637)
Epoch: [64][8150/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 1.9248 (1.8885)	Prec@1 50.000 (50.904)	Prec@5 79.688 (80.636)
Epoch: [64][8160/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 1.8651 (1.8885)	Prec@1 56.250 (50.903)	Prec@5 78.125 (80.635)
Epoch: [64][8170/14090]	Time 0.852 (0.766)	Data 0.001 (0.002)	Loss 1.5600 (1.8884)	Prec@1 61.719 (50.904)	Prec@5 88.281 (80.637)
Epoch: [64][8180/14090]	Time 0.725 (0.766)	Data 0.001 (0.002)	Loss 1.6220 (1.8884)	Prec@1 53.906 (50.903)	Prec@5 83.594 (80.636)
Epoch: [64][8190/14090]	Time 0.777 (0.766)	Data 0.001 (0.002)	Loss 1.9601 (1.8885)	Prec@1 46.875 (50.903)	Prec@5 76.562 (80.634)
Epoch: [64][8200/14090]	Time 0.718 (0.766)	Data 0.001 (0.002)	Loss 1.9069 (1.8883)	Prec@1 45.312 (50.906)	Prec@5 82.812 (80.637)
Epoch: [64][8210/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 1.8987 (1.8883)	Prec@1 45.312 (50.904)	Prec@5 81.250 (80.637)
Epoch: [64][8220/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.0251 (1.8884)	Prec@1 47.656 (50.902)	Prec@5 75.000 (80.636)
Epoch: [64][8230/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 1.6468 (1.8884)	Prec@1 60.156 (50.900)	Prec@5 78.906 (80.637)
Epoch: [64][8240/14090]	Time 0.863 (0.766)	Data 0.001 (0.002)	Loss 2.1237 (1.8883)	Prec@1 46.094 (50.901)	Prec@5 73.438 (80.637)
Epoch: [64][8250/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 1.8592 (1.8884)	Prec@1 50.781 (50.899)	Prec@5 82.812 (80.638)
Epoch: [64][8260/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 1.7711 (1.8883)	Prec@1 46.875 (50.901)	Prec@5 84.375 (80.640)
Epoch: [64][8270/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 2.0935 (1.8883)	Prec@1 50.000 (50.902)	Prec@5 76.562 (80.640)
Epoch: [64][8280/14090]	Time 0.721 (0.766)	Data 0.001 (0.002)	Loss 1.9730 (1.8882)	Prec@1 53.906 (50.903)	Prec@5 76.562 (80.641)
Epoch: [64][8290/14090]	Time 0.760 (0.766)	Data 0.002 (0.002)	Loss 1.8328 (1.8882)	Prec@1 53.125 (50.903)	Prec@5 78.125 (80.642)
Epoch: [64][8300/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 1.8054 (1.8882)	Prec@1 56.250 (50.905)	Prec@5 81.250 (80.641)
Epoch: [64][8310/14090]	Time 0.943 (0.766)	Data 0.001 (0.002)	Loss 1.7448 (1.8881)	Prec@1 50.000 (50.907)	Prec@5 86.719 (80.643)
Epoch: [64][8320/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 1.7163 (1.8882)	Prec@1 59.375 (50.907)	Prec@5 82.031 (80.642)
Epoch: [64][8330/14090]	Time 0.727 (0.766)	Data 0.001 (0.002)	Loss 2.1466 (1.8882)	Prec@1 49.219 (50.906)	Prec@5 76.562 (80.641)
Epoch: [64][8340/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 1.5773 (1.8882)	Prec@1 53.906 (50.906)	Prec@5 85.156 (80.641)
Epoch: [64][8350/14090]	Time 0.763 (0.766)	Data 0.001 (0.002)	Loss 2.0577 (1.8884)	Prec@1 47.656 (50.902)	Prec@5 75.781 (80.639)
Epoch: [64][8360/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 1.9301 (1.8883)	Prec@1 51.562 (50.902)	Prec@5 81.250 (80.639)
Epoch: [64][8370/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 1.9092 (1.8883)	Prec@1 50.781 (50.903)	Prec@5 80.469 (80.640)
Epoch: [64][8380/14090]	Time 0.845 (0.766)	Data 0.001 (0.002)	Loss 2.0157 (1.8884)	Prec@1 46.094 (50.903)	Prec@5 77.344 (80.638)
Epoch: [64][8390/14090]	Time 0.770 (0.766)	Data 0.001 (0.002)	Loss 1.9883 (1.8885)	Prec@1 52.344 (50.900)	Prec@5 78.906 (80.637)
Epoch: [64][8400/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 1.9055 (1.8885)	Prec@1 51.562 (50.899)	Prec@5 82.031 (80.637)
Epoch: [64][8410/14090]	Time 0.778 (0.766)	Data 0.001 (0.002)	Loss 1.8942 (1.8886)	Prec@1 50.000 (50.897)	Prec@5 80.469 (80.637)
Epoch: [64][8420/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 1.8256 (1.8886)	Prec@1 53.125 (50.898)	Prec@5 82.812 (80.636)
Epoch: [64][8430/14090]	Time 0.755 (0.766)	Data 0.000 (0.002)	Loss 1.9292 (1.8887)	Prec@1 49.219 (50.895)	Prec@5 76.562 (80.634)
Epoch: [64][8440/14090]	Time 0.780 (0.766)	Data 0.001 (0.002)	Loss 2.0493 (1.8888)	Prec@1 49.219 (50.893)	Prec@5 78.125 (80.633)
Epoch: [64][8450/14090]	Time 0.851 (0.766)	Data 0.001 (0.002)	Loss 1.9523 (1.8888)	Prec@1 51.562 (50.894)	Prec@5 81.250 (80.634)
Epoch: [64][8460/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 2.0981 (1.8888)	Prec@1 45.312 (50.893)	Prec@5 76.562 (80.633)
Epoch: [64][8470/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 1.8997 (1.8888)	Prec@1 51.562 (50.893)	Prec@5 78.906 (80.632)
Epoch: [64][8480/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 1.8173 (1.8888)	Prec@1 51.562 (50.894)	Prec@5 83.594 (80.633)
Epoch: [64][8490/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 1.9408 (1.8889)	Prec@1 53.906 (50.891)	Prec@5 78.906 (80.633)
Epoch: [64][8500/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 1.8307 (1.8890)	Prec@1 47.656 (50.889)	Prec@5 82.031 (80.630)
Epoch: [64][8510/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 1.7013 (1.8889)	Prec@1 55.469 (50.891)	Prec@5 82.031 (80.632)
Epoch: [64][8520/14090]	Time 0.870 (0.766)	Data 0.001 (0.002)	Loss 1.9665 (1.8890)	Prec@1 48.438 (50.889)	Prec@5 76.562 (80.630)
Epoch: [64][8530/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 1.5768 (1.8890)	Prec@1 57.031 (50.892)	Prec@5 84.375 (80.631)
Epoch: [64][8540/14090]	Time 0.785 (0.766)	Data 0.001 (0.002)	Loss 1.7640 (1.8889)	Prec@1 48.438 (50.890)	Prec@5 85.938 (80.632)
Epoch: [64][8550/14090]	Time 0.750 (0.766)	Data 0.003 (0.002)	Loss 2.0869 (1.8889)	Prec@1 48.438 (50.890)	Prec@5 78.125 (80.631)
Epoch: [64][8560/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 1.7430 (1.8889)	Prec@1 53.906 (50.891)	Prec@5 79.688 (80.632)
Epoch: [64][8570/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 1.6879 (1.8889)	Prec@1 54.688 (50.892)	Prec@5 85.156 (80.630)
Epoch: [64][8580/14090]	Time 0.784 (0.766)	Data 0.001 (0.002)	Loss 1.6728 (1.8889)	Prec@1 53.125 (50.893)	Prec@5 82.812 (80.632)
Epoch: [64][8590/14090]	Time 0.875 (0.766)	Data 0.001 (0.002)	Loss 1.9661 (1.8889)	Prec@1 52.344 (50.892)	Prec@5 79.688 (80.631)
Epoch: [64][8600/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.0570 (1.8889)	Prec@1 45.312 (50.893)	Prec@5 78.125 (80.632)
Epoch: [64][8610/14090]	Time 0.727 (0.766)	Data 0.001 (0.002)	Loss 1.9242 (1.8888)	Prec@1 44.531 (50.893)	Prec@5 81.250 (80.634)
Epoch: [64][8620/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 1.9517 (1.8889)	Prec@1 50.781 (50.893)	Prec@5 81.250 (80.634)
Epoch: [64][8630/14090]	Time 0.767 (0.766)	Data 0.001 (0.002)	Loss 1.8834 (1.8889)	Prec@1 51.562 (50.895)	Prec@5 82.031 (80.633)
Epoch: [64][8640/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 1.8523 (1.8890)	Prec@1 55.469 (50.893)	Prec@5 80.469 (80.631)
Epoch: [64][8650/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 1.9943 (1.8889)	Prec@1 53.906 (50.893)	Prec@5 78.125 (80.632)
Epoch: [64][8660/14090]	Time 0.877 (0.766)	Data 0.001 (0.002)	Loss 2.0357 (1.8890)	Prec@1 44.531 (50.892)	Prec@5 78.906 (80.633)
Epoch: [64][8670/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 1.8093 (1.8890)	Prec@1 50.781 (50.892)	Prec@5 84.375 (80.632)
Epoch: [64][8680/14090]	Time 0.761 (0.766)	Data 0.001 (0.002)	Loss 2.2064 (1.8890)	Prec@1 45.312 (50.892)	Prec@5 74.219 (80.631)
Epoch: [64][8690/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 1.8297 (1.8890)	Prec@1 55.469 (50.890)	Prec@5 77.344 (80.630)
Epoch: [64][8700/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 1.7248 (1.8890)	Prec@1 53.906 (50.890)	Prec@5 85.156 (80.632)
Epoch: [64][8710/14090]	Time 0.754 (0.766)	Data 0.003 (0.002)	Loss 1.9769 (1.8890)	Prec@1 50.781 (50.889)	Prec@5 82.031 (80.632)
Epoch: [64][8720/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 1.7297 (1.8891)	Prec@1 60.156 (50.890)	Prec@5 85.156 (80.633)
Epoch: [64][8730/14090]	Time 0.807 (0.766)	Data 0.001 (0.002)	Loss 1.8149 (1.8890)	Prec@1 53.906 (50.890)	Prec@5 82.031 (80.633)
Epoch: [64][8740/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 1.8991 (1.8891)	Prec@1 53.906 (50.893)	Prec@5 82.812 (80.632)
Epoch: [64][8750/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.0432 (1.8892)	Prec@1 47.656 (50.891)	Prec@5 75.781 (80.630)
Epoch: [64][8760/14090]	Time 0.765 (0.766)	Data 0.001 (0.002)	Loss 2.0424 (1.8892)	Prec@1 49.219 (50.891)	Prec@5 75.000 (80.630)
Epoch: [64][8770/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 1.7253 (1.8891)	Prec@1 56.250 (50.893)	Prec@5 79.688 (80.629)
Epoch: [64][8780/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 1.8556 (1.8891)	Prec@1 53.906 (50.894)	Prec@5 81.250 (80.629)
Epoch: [64][8790/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 1.9699 (1.8891)	Prec@1 49.219 (50.894)	Prec@5 82.031 (80.630)
Epoch: [64][8800/14090]	Time 0.857 (0.766)	Data 0.001 (0.002)	Loss 1.7797 (1.8890)	Prec@1 51.562 (50.895)	Prec@5 84.375 (80.630)
Epoch: [64][8810/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 1.7764 (1.8891)	Prec@1 50.000 (50.894)	Prec@5 84.375 (80.630)
Epoch: [64][8820/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 1.9438 (1.8890)	Prec@1 51.562 (50.895)	Prec@5 79.688 (80.631)
Epoch: [64][8830/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.1810 (1.8891)	Prec@1 46.094 (50.893)	Prec@5 75.781 (80.631)
Epoch: [64][8840/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 1.7985 (1.8891)	Prec@1 52.344 (50.892)	Prec@5 82.812 (80.632)
Epoch: [64][8850/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.0255 (1.8890)	Prec@1 47.656 (50.895)	Prec@5 78.906 (80.634)
Epoch: [64][8860/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 1.8388 (1.8889)	Prec@1 48.438 (50.898)	Prec@5 82.031 (80.633)
Epoch: [64][8870/14090]	Time 0.907 (0.766)	Data 0.001 (0.002)	Loss 2.0588 (1.8889)	Prec@1 43.750 (50.898)	Prec@5 75.781 (80.635)
Epoch: [64][8880/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 1.8014 (1.8888)	Prec@1 56.250 (50.902)	Prec@5 80.469 (80.637)
Epoch: [64][8890/14090]	Time 0.728 (0.766)	Data 0.001 (0.002)	Loss 1.9353 (1.8888)	Prec@1 53.906 (50.901)	Prec@5 78.906 (80.636)
Epoch: [64][8900/14090]	Time 0.764 (0.766)	Data 0.001 (0.002)	Loss 1.8524 (1.8888)	Prec@1 50.000 (50.900)	Prec@5 80.469 (80.637)
Epoch: [64][8910/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 1.9202 (1.8887)	Prec@1 46.875 (50.903)	Prec@5 80.469 (80.639)
Epoch: [64][8920/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.2196 (1.8888)	Prec@1 42.188 (50.903)	Prec@5 71.094 (80.636)
Epoch: [64][8930/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 1.7746 (1.8887)	Prec@1 56.250 (50.905)	Prec@5 82.031 (80.638)
Epoch: [64][8940/14090]	Time 0.861 (0.766)	Data 0.001 (0.001)	Loss 1.6636 (1.8887)	Prec@1 59.375 (50.905)	Prec@5 86.719 (80.639)
Epoch: [64][8950/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 1.7459 (1.8887)	Prec@1 57.031 (50.906)	Prec@5 84.375 (80.639)
Epoch: [64][8960/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 1.6283 (1.8887)	Prec@1 57.812 (50.905)	Prec@5 84.375 (80.637)
Epoch: [64][8970/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 1.6160 (1.8888)	Prec@1 54.688 (50.905)	Prec@5 85.156 (80.635)
Epoch: [64][8980/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 1.8411 (1.8888)	Prec@1 49.219 (50.906)	Prec@5 80.469 (80.634)
Epoch: [64][8990/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 1.9869 (1.8888)	Prec@1 44.531 (50.905)	Prec@5 82.031 (80.635)
Epoch: [64][9000/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 1.9914 (1.8888)	Prec@1 47.656 (50.906)	Prec@5 77.344 (80.636)
Epoch: [64][9010/14090]	Time 0.851 (0.766)	Data 0.001 (0.001)	Loss 1.8719 (1.8888)	Prec@1 52.344 (50.908)	Prec@5 82.031 (80.636)
Epoch: [64][9020/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 1.8316 (1.8889)	Prec@1 50.781 (50.905)	Prec@5 83.594 (80.635)
Epoch: [64][9030/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 1.9267 (1.8888)	Prec@1 48.438 (50.906)	Prec@5 75.000 (80.635)
Epoch: [64][9040/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 1.7167 (1.8887)	Prec@1 53.125 (50.906)	Prec@5 84.375 (80.637)
Epoch: [64][9050/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 1.9660 (1.8887)	Prec@1 50.781 (50.906)	Prec@5 79.688 (80.637)
Epoch: [64][9060/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 1.7569 (1.8888)	Prec@1 57.812 (50.906)	Prec@5 83.594 (80.637)
Epoch: [64][9070/14090]	Time 0.763 (0.766)	Data 0.003 (0.001)	Loss 1.7866 (1.8887)	Prec@1 51.562 (50.906)	Prec@5 82.031 (80.638)
Epoch: [64][9080/14090]	Time 0.860 (0.766)	Data 0.001 (0.001)	Loss 2.1771 (1.8888)	Prec@1 41.406 (50.904)	Prec@5 81.250 (80.638)
Epoch: [64][9090/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 1.9851 (1.8888)	Prec@1 50.000 (50.905)	Prec@5 78.125 (80.637)
Epoch: [64][9100/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 1.7947 (1.8888)	Prec@1 51.562 (50.906)	Prec@5 81.250 (80.638)
Epoch: [64][9110/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 1.9236 (1.8887)	Prec@1 49.219 (50.907)	Prec@5 77.344 (80.639)
Epoch: [64][9120/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 1.8919 (1.8887)	Prec@1 50.781 (50.906)	Prec@5 83.594 (80.640)
Epoch: [64][9130/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 1.9998 (1.8888)	Prec@1 53.125 (50.906)	Prec@5 77.344 (80.638)
Epoch: [64][9140/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 1.8144 (1.8888)	Prec@1 52.344 (50.906)	Prec@5 81.250 (80.638)
Epoch: [64][9150/14090]	Time 0.887 (0.766)	Data 0.001 (0.001)	Loss 1.7332 (1.8888)	Prec@1 48.438 (50.903)	Prec@5 85.938 (80.639)
Epoch: [64][9160/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 1.7659 (1.8888)	Prec@1 55.469 (50.901)	Prec@5 77.344 (80.638)
Epoch: [64][9170/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 1.5753 (1.8888)	Prec@1 57.812 (50.903)	Prec@5 88.281 (80.638)
Epoch: [64][9180/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 1.9795 (1.8888)	Prec@1 47.656 (50.903)	Prec@5 78.125 (80.640)
Epoch: [64][9190/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 1.8734 (1.8887)	Prec@1 50.781 (50.902)	Prec@5 82.812 (80.642)
Epoch: [64][9200/14090]	Time 0.723 (0.766)	Data 0.001 (0.001)	Loss 1.7830 (1.8887)	Prec@1 50.781 (50.903)	Prec@5 82.812 (80.643)
Epoch: [64][9210/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.0081 (1.8886)	Prec@1 49.219 (50.905)	Prec@5 77.344 (80.644)
Epoch: [64][9220/14090]	Time 0.885 (0.766)	Data 0.001 (0.001)	Loss 1.8222 (1.8886)	Prec@1 53.125 (50.906)	Prec@5 79.688 (80.645)
Epoch: [64][9230/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 1.5988 (1.8885)	Prec@1 57.031 (50.907)	Prec@5 85.938 (80.644)
Epoch: [64][9240/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 1.8094 (1.8885)	Prec@1 55.469 (50.907)	Prec@5 78.906 (80.645)
Epoch: [64][9250/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 1.7918 (1.8885)	Prec@1 60.938 (50.907)	Prec@5 80.469 (80.643)
Epoch: [64][9260/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 1.8661 (1.8886)	Prec@1 50.781 (50.907)	Prec@5 80.469 (80.642)
Epoch: [64][9270/14090]	Time 0.723 (0.766)	Data 0.001 (0.001)	Loss 1.9940 (1.8887)	Prec@1 50.781 (50.904)	Prec@5 77.344 (80.639)
Epoch: [64][9280/14090]	Time 0.739 (0.766)	Data 0.002 (0.001)	Loss 2.2162 (1.8887)	Prec@1 46.094 (50.904)	Prec@5 77.344 (80.640)
Epoch: [64][9290/14090]	Time 0.834 (0.766)	Data 0.001 (0.001)	Loss 1.6716 (1.8887)	Prec@1 57.812 (50.903)	Prec@5 82.812 (80.641)
Epoch: [64][9300/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 1.6785 (1.8886)	Prec@1 58.594 (50.905)	Prec@5 81.250 (80.642)
Epoch: [64][9310/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.0222 (1.8887)	Prec@1 49.219 (50.904)	Prec@5 81.250 (80.644)
Epoch: [64][9320/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 1.9457 (1.8886)	Prec@1 49.219 (50.906)	Prec@5 78.906 (80.643)
Epoch: [64][9330/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 1.7504 (1.8886)	Prec@1 55.469 (50.906)	Prec@5 78.906 (80.643)
Epoch: [64][9340/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 1.7985 (1.8886)	Prec@1 53.906 (50.905)	Prec@5 81.250 (80.643)
Epoch: [64][9350/14090]	Time 0.751 (0.766)	Data 0.002 (0.001)	Loss 2.1726 (1.8886)	Prec@1 41.406 (50.903)	Prec@5 73.438 (80.642)
Epoch: [64][9360/14090]	Time 0.815 (0.766)	Data 0.001 (0.001)	Loss 2.0586 (1.8887)	Prec@1 44.531 (50.904)	Prec@5 76.562 (80.641)
Epoch: [64][9370/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 1.7273 (1.8886)	Prec@1 56.250 (50.904)	Prec@5 82.812 (80.641)
Epoch: [64][9380/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 1.8288 (1.8887)	Prec@1 53.125 (50.905)	Prec@5 82.031 (80.639)
Epoch: [64][9390/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 1.7938 (1.8887)	Prec@1 51.562 (50.904)	Prec@5 83.594 (80.641)
Epoch: [64][9400/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 1.9888 (1.8886)	Prec@1 46.875 (50.905)	Prec@5 82.031 (80.642)
Epoch: [64][9410/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.1368 (1.8886)	Prec@1 44.531 (50.904)	Prec@5 74.219 (80.641)
Epoch: [64][9420/14090]	Time 0.765 (0.766)	Data 0.001 (0.001)	Loss 1.7826 (1.8887)	Prec@1 54.688 (50.903)	Prec@5 83.594 (80.640)
Epoch: [64][9430/14090]	Time 0.871 (0.766)	Data 0.001 (0.001)	Loss 1.6802 (1.8887)	Prec@1 53.906 (50.903)	Prec@5 82.812 (80.640)
Epoch: [64][9440/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 1.9198 (1.8887)	Prec@1 45.312 (50.901)	Prec@5 82.812 (80.640)
Epoch: [64][9450/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 1.7068 (1.8887)	Prec@1 55.469 (50.904)	Prec@5 85.156 (80.642)
Epoch: [64][9460/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.1991 (1.8887)	Prec@1 48.438 (50.902)	Prec@5 73.438 (80.640)
Epoch: [64][9470/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 1.9983 (1.8887)	Prec@1 46.875 (50.903)	Prec@5 77.344 (80.639)
Epoch: [64][9480/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 1.8982 (1.8888)	Prec@1 53.125 (50.901)	Prec@5 79.688 (80.638)
Epoch: [64][9490/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 1.9741 (1.8888)	Prec@1 53.906 (50.901)	Prec@5 80.469 (80.637)
Epoch: [64][9500/14090]	Time 0.863 (0.766)	Data 0.001 (0.001)	Loss 1.9389 (1.8889)	Prec@1 48.438 (50.898)	Prec@5 81.250 (80.637)
Epoch: [64][9510/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 1.7576 (1.8888)	Prec@1 53.125 (50.899)	Prec@5 82.812 (80.638)
Epoch: [64][9520/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 1.5494 (1.8887)	Prec@1 59.375 (50.900)	Prec@5 89.844 (80.640)
Epoch: [64][9530/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 1.9304 (1.8888)	Prec@1 53.125 (50.901)	Prec@5 79.688 (80.639)
Epoch: [64][9540/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 1.7458 (1.8888)	Prec@1 50.000 (50.899)	Prec@5 82.031 (80.639)
Epoch: [64][9550/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.1309 (1.8888)	Prec@1 44.531 (50.897)	Prec@5 75.781 (80.639)
Epoch: [64][9560/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 1.9927 (1.8888)	Prec@1 49.219 (50.896)	Prec@5 76.562 (80.639)
Epoch: [64][9570/14090]	Time 0.861 (0.766)	Data 0.001 (0.001)	Loss 1.6917 (1.8888)	Prec@1 53.906 (50.896)	Prec@5 79.688 (80.639)
Epoch: [64][9580/14090]	Time 0.742 (0.766)	Data 0.002 (0.001)	Loss 1.8795 (1.8888)	Prec@1 47.656 (50.896)	Prec@5 79.688 (80.637)
Epoch: [64][9590/14090]	Time 0.774 (0.766)	Data 0.001 (0.001)	Loss 2.2369 (1.8889)	Prec@1 42.188 (50.892)	Prec@5 74.219 (80.635)
Epoch: [64][9600/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 1.9059 (1.8889)	Prec@1 49.219 (50.893)	Prec@5 79.688 (80.636)
Epoch: [64][9610/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 1.8426 (1.8889)	Prec@1 53.906 (50.891)	Prec@5 81.250 (80.636)
Epoch: [64][9620/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.0295 (1.8889)	Prec@1 46.094 (50.891)	Prec@5 75.781 (80.636)
Epoch: [64][9630/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 2.0714 (1.8889)	Prec@1 47.656 (50.890)	Prec@5 75.781 (80.636)
Epoch: [64][9640/14090]	Time 0.843 (0.766)	Data 0.001 (0.001)	Loss 1.5635 (1.8888)	Prec@1 57.031 (50.890)	Prec@5 85.938 (80.638)
Epoch: [64][9650/14090]	Time 0.765 (0.766)	Data 0.001 (0.001)	Loss 1.8515 (1.8888)	Prec@1 51.562 (50.889)	Prec@5 84.375 (80.638)
Epoch: [64][9660/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 1.9746 (1.8888)	Prec@1 53.906 (50.890)	Prec@5 78.125 (80.640)
Epoch: [64][9670/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.0048 (1.8889)	Prec@1 51.562 (50.886)	Prec@5 77.344 (80.638)
Epoch: [64][9680/14090]	Time 0.770 (0.766)	Data 0.001 (0.001)	Loss 1.8252 (1.8888)	Prec@1 53.125 (50.886)	Prec@5 76.562 (80.638)
Epoch: [64][9690/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 1.6717 (1.8887)	Prec@1 57.812 (50.889)	Prec@5 82.031 (80.641)
Epoch: [64][9700/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 1.8295 (1.8887)	Prec@1 50.781 (50.889)	Prec@5 82.031 (80.640)
Epoch: [64][9710/14090]	Time 0.909 (0.766)	Data 0.001 (0.001)	Loss 1.9186 (1.8887)	Prec@1 50.000 (50.890)	Prec@5 80.469 (80.641)
Epoch: [64][9720/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 1.8148 (1.8887)	Prec@1 52.344 (50.891)	Prec@5 80.469 (80.641)
Epoch: [64][9730/14090]	Time 0.719 (0.766)	Data 0.001 (0.001)	Loss 1.9758 (1.8886)	Prec@1 51.562 (50.891)	Prec@5 74.219 (80.642)
Epoch: [64][9740/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 1.8462 (1.8886)	Prec@1 54.688 (50.890)	Prec@5 80.469 (80.642)
Epoch: [64][9750/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 1.9083 (1.8886)	Prec@1 48.438 (50.888)	Prec@5 80.469 (80.643)
Epoch: [64][9760/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.1689 (1.8886)	Prec@1 47.656 (50.887)	Prec@5 76.562 (80.643)
Epoch: [64][9770/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 1.7938 (1.8886)	Prec@1 48.438 (50.886)	Prec@5 82.031 (80.643)
Epoch: [64][9780/14090]	Time 0.839 (0.766)	Data 0.001 (0.001)	Loss 2.0410 (1.8887)	Prec@1 48.438 (50.884)	Prec@5 75.781 (80.641)
Epoch: [64][9790/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 1.5532 (1.8886)	Prec@1 57.812 (50.885)	Prec@5 88.281 (80.643)
Epoch: [64][9800/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.0443 (1.8886)	Prec@1 50.781 (50.885)	Prec@5 77.344 (80.643)
Epoch: [64][9810/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.2751 (1.8886)	Prec@1 45.312 (50.885)	Prec@5 71.875 (80.643)
Epoch: [64][9820/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 1.9444 (1.8886)	Prec@1 50.000 (50.887)	Prec@5 82.031 (80.642)
Epoch: [64][9830/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 2.0272 (1.8886)	Prec@1 49.219 (50.890)	Prec@5 78.906 (80.643)
Epoch: [64][9840/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 1.8636 (1.8886)	Prec@1 51.562 (50.891)	Prec@5 79.688 (80.643)
Epoch: [64][9850/14090]	Time 0.974 (0.766)	Data 0.001 (0.001)	Loss 2.0347 (1.8886)	Prec@1 45.312 (50.891)	Prec@5 79.688 (80.644)
Epoch: [64][9860/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 1.8691 (1.8886)	Prec@1 52.344 (50.891)	Prec@5 79.688 (80.644)
Epoch: [64][9870/14090]	Time 0.746 (0.766)	Data 0.002 (0.001)	Loss 1.6230 (1.8885)	Prec@1 60.938 (50.892)	Prec@5 82.031 (80.645)
Epoch: [64][9880/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 1.9204 (1.8885)	Prec@1 47.656 (50.893)	Prec@5 81.250 (80.645)
Epoch: [64][9890/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 1.8842 (1.8886)	Prec@1 52.344 (50.891)	Prec@5 82.031 (80.643)
Epoch: [64][9900/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 1.7471 (1.8885)	Prec@1 54.688 (50.892)	Prec@5 84.375 (80.646)
Epoch: [64][9910/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 1.9306 (1.8885)	Prec@1 49.219 (50.891)	Prec@5 76.562 (80.646)
Epoch: [64][9920/14090]	Time 0.860 (0.766)	Data 0.001 (0.001)	Loss 1.9470 (1.8885)	Prec@1 52.344 (50.892)	Prec@5 78.125 (80.647)
Epoch: [64][9930/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 1.7529 (1.8885)	Prec@1 55.469 (50.893)	Prec@5 82.812 (80.647)
Epoch: [64][9940/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 1.7928 (1.8886)	Prec@1 53.125 (50.892)	Prec@5 82.031 (80.644)
Epoch: [64][9950/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 1.9366 (1.8886)	Prec@1 48.438 (50.892)	Prec@5 80.469 (80.645)
Epoch: [64][9960/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 1.5444 (1.8885)	Prec@1 56.250 (50.895)	Prec@5 85.938 (80.646)
Epoch: [64][9970/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 1.9593 (1.8885)	Prec@1 46.094 (50.895)	Prec@5 79.688 (80.646)
Epoch: [64][9980/14090]	Time 0.785 (0.766)	Data 0.001 (0.001)	Loss 1.7025 (1.8885)	Prec@1 57.031 (50.895)	Prec@5 83.594 (80.646)
Epoch: [64][9990/14090]	Time 0.860 (0.766)	Data 0.001 (0.001)	Loss 1.9071 (1.8885)	Prec@1 52.344 (50.895)	Prec@5 82.031 (80.645)
Epoch: [64][10000/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 1.7009 (1.8885)	Prec@1 49.219 (50.896)	Prec@5 83.594 (80.645)
Epoch: [64][10010/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 1.7910 (1.8884)	Prec@1 55.469 (50.899)	Prec@5 82.812 (80.646)
Epoch: [64][10020/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 1.8754 (1.8884)	Prec@1 50.000 (50.900)	Prec@5 81.250 (80.646)
Epoch: [64][10030/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.0149 (1.8885)	Prec@1 49.219 (50.897)	Prec@5 78.906 (80.645)
Epoch: [64][10040/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.0857 (1.8885)	Prec@1 36.719 (50.895)	Prec@5 77.344 (80.645)
Epoch: [64][10050/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.0110 (1.8885)	Prec@1 49.219 (50.892)	Prec@5 80.469 (80.645)
Epoch: [64][10060/14090]	Time 0.854 (0.766)	Data 0.001 (0.001)	Loss 1.6063 (1.8885)	Prec@1 53.125 (50.893)	Prec@5 87.500 (80.647)
Epoch: [64][10070/14090]	Time 0.722 (0.766)	Data 0.001 (0.001)	Loss 1.9016 (1.8884)	Prec@1 47.656 (50.893)	Prec@5 81.250 (80.648)
Epoch: [64][10080/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 1.9394 (1.8884)	Prec@1 48.438 (50.892)	Prec@5 81.250 (80.648)
Epoch: [64][10090/14090]	Time 0.774 (0.766)	Data 0.001 (0.001)	Loss 1.8706 (1.8884)	Prec@1 53.906 (50.891)	Prec@5 82.031 (80.649)
Epoch: [64][10100/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 1.9055 (1.8884)	Prec@1 49.219 (50.892)	Prec@5 79.688 (80.649)
Epoch: [64][10110/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 1.7572 (1.8884)	Prec@1 57.031 (50.891)	Prec@5 82.812 (80.648)
Epoch: [64][10120/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 1.8258 (1.8884)	Prec@1 51.562 (50.892)	Prec@5 81.250 (80.647)
Epoch: [64][10130/14090]	Time 0.855 (0.766)	Data 0.001 (0.001)	Loss 1.8151 (1.8884)	Prec@1 50.781 (50.891)	Prec@5 82.812 (80.648)
Epoch: [64][10140/14090]	Time 0.771 (0.766)	Data 0.001 (0.001)	Loss 1.7850 (1.8885)	Prec@1 50.781 (50.889)	Prec@5 80.469 (80.646)
Epoch: [64][10150/14090]	Time 0.771 (0.766)	Data 0.001 (0.001)	Loss 1.9891 (1.8885)	Prec@1 48.438 (50.888)	Prec@5 82.812 (80.647)
Epoch: [64][10160/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.1429 (1.8886)	Prec@1 46.094 (50.886)	Prec@5 78.125 (80.645)
Epoch: [64][10170/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.1994 (1.8886)	Prec@1 43.750 (50.886)	Prec@5 73.438 (80.645)
Epoch: [64][10180/14090]	Time 0.765 (0.766)	Data 0.001 (0.001)	Loss 1.9320 (1.8886)	Prec@1 50.781 (50.885)	Prec@5 85.156 (80.644)
Epoch: [64][10190/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 1.8925 (1.8886)	Prec@1 48.438 (50.886)	Prec@5 80.469 (80.643)
Epoch: [64][10200/14090]	Time 0.842 (0.766)	Data 0.001 (0.001)	Loss 1.8694 (1.8885)	Prec@1 50.000 (50.887)	Prec@5 80.469 (80.644)
Epoch: [64][10210/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 1.8425 (1.8885)	Prec@1 55.469 (50.887)	Prec@5 82.031 (80.645)
Epoch: [64][10220/14090]	Time 0.768 (0.766)	Data 0.001 (0.001)	Loss 1.7835 (1.8885)	Prec@1 52.344 (50.886)	Prec@5 82.031 (80.645)
Epoch: [64][10230/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 1.9758 (1.8886)	Prec@1 46.875 (50.885)	Prec@5 79.688 (80.645)
Epoch: [64][10240/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 1.9503 (1.8885)	Prec@1 44.531 (50.885)	Prec@5 76.562 (80.647)
Epoch: [64][10250/14090]	Time 0.752 (0.766)	Data 0.000 (0.001)	Loss 2.1339 (1.8885)	Prec@1 43.750 (50.884)	Prec@5 72.656 (80.646)
Epoch: [64][10260/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 1.8518 (1.8885)	Prec@1 55.469 (50.883)	Prec@5 80.469 (80.646)
Epoch: [64][10270/14090]	Time 0.880 (0.766)	Data 0.002 (0.001)	Loss 1.7743 (1.8885)	Prec@1 56.250 (50.885)	Prec@5 84.375 (80.647)
Epoch: [64][10280/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 1.7934 (1.8885)	Prec@1 53.906 (50.886)	Prec@5 82.812 (80.646)
Epoch: [64][10290/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 1.9528 (1.8885)	Prec@1 47.656 (50.887)	Prec@5 82.031 (80.647)
Epoch: [64][10300/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 1.6100 (1.8885)	Prec@1 53.906 (50.886)	Prec@5 85.938 (80.647)
Epoch: [64][10310/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 1.7061 (1.8884)	Prec@1 58.594 (50.889)	Prec@5 85.156 (80.649)
Epoch: [64][10320/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 1.9652 (1.8884)	Prec@1 49.219 (50.889)	Prec@5 79.688 (80.649)
Epoch: [64][10330/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 1.9287 (1.8884)	Prec@1 52.344 (50.888)	Prec@5 78.906 (80.649)
Epoch: [64][10340/14090]	Time 0.900 (0.766)	Data 0.001 (0.001)	Loss 1.7859 (1.8884)	Prec@1 54.688 (50.886)	Prec@5 83.594 (80.649)
Epoch: [64][10350/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 1.7628 (1.8883)	Prec@1 49.219 (50.887)	Prec@5 84.375 (80.650)
Epoch: [64][10360/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 1.9568 (1.8884)	Prec@1 45.312 (50.886)	Prec@5 82.812 (80.650)
Epoch: [64][10370/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 1.8700 (1.8883)	Prec@1 44.531 (50.887)	Prec@5 83.594 (80.653)
Epoch: [64][10380/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 1.7424 (1.8883)	Prec@1 53.125 (50.887)	Prec@5 83.594 (80.654)
Epoch: [64][10390/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 1.8941 (1.8883)	Prec@1 53.125 (50.886)	Prec@5 78.125 (80.653)
Epoch: [64][10400/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 1.9392 (1.8883)	Prec@1 47.656 (50.887)	Prec@5 80.469 (80.653)
Epoch: [64][10410/14090]	Time 0.827 (0.766)	Data 0.001 (0.001)	Loss 1.7575 (1.8884)	Prec@1 52.344 (50.887)	Prec@5 82.031 (80.652)
Epoch: [64][10420/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 1.7660 (1.8883)	Prec@1 57.812 (50.889)	Prec@5 81.250 (80.653)
Epoch: [64][10430/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 1.9262 (1.8884)	Prec@1 50.781 (50.888)	Prec@5 78.125 (80.651)
Epoch: [64][10440/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 1.8175 (1.8883)	Prec@1 53.125 (50.889)	Prec@5 79.688 (80.652)
Epoch: [64][10450/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 1.7391 (1.8883)	Prec@1 52.344 (50.888)	Prec@5 82.812 (80.653)
Epoch: [64][10460/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 1.6155 (1.8882)	Prec@1 58.594 (50.888)	Prec@5 88.281 (80.655)
Epoch: [64][10470/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 1.8523 (1.8882)	Prec@1 57.031 (50.890)	Prec@5 79.688 (80.656)
Epoch: [64][10480/14090]	Time 0.853 (0.766)	Data 0.001 (0.001)	Loss 2.0086 (1.8882)	Prec@1 50.781 (50.892)	Prec@5 73.438 (80.655)
Epoch: [64][10490/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.0265 (1.8882)	Prec@1 44.531 (50.893)	Prec@5 72.656 (80.656)
Epoch: [64][10500/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.1579 (1.8881)	Prec@1 45.312 (50.893)	Prec@5 77.344 (80.656)
Epoch: [64][10510/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 1.7070 (1.8881)	Prec@1 54.688 (50.894)	Prec@5 81.250 (80.656)
Epoch: [64][10520/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 1.8489 (1.8882)	Prec@1 47.656 (50.893)	Prec@5 82.812 (80.656)
Epoch: [64][10530/14090]	Time 0.724 (0.766)	Data 0.001 (0.001)	Loss 2.1257 (1.8881)	Prec@1 42.188 (50.893)	Prec@5 75.781 (80.655)
Epoch: [64][10540/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 1.9719 (1.8882)	Prec@1 50.000 (50.892)	Prec@5 78.906 (80.655)
Epoch: [64][10550/14090]	Time 0.916 (0.766)	Data 0.001 (0.001)	Loss 1.8185 (1.8883)	Prec@1 55.469 (50.890)	Prec@5 81.250 (80.654)
Epoch: [64][10560/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 1.9964 (1.8883)	Prec@1 50.781 (50.890)	Prec@5 78.906 (80.654)
Epoch: [64][10570/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 1.7359 (1.8884)	Prec@1 60.156 (50.889)	Prec@5 84.375 (80.653)
Epoch: [64][10580/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.0489 (1.8884)	Prec@1 47.656 (50.889)	Prec@5 76.562 (80.652)
Epoch: [64][10590/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.0359 (1.8884)	Prec@1 46.875 (50.891)	Prec@5 83.594 (80.653)
Epoch: [64][10600/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.0453 (1.8883)	Prec@1 46.094 (50.893)	Prec@5 78.906 (80.654)
Epoch: [64][10610/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 1.9623 (1.8883)	Prec@1 51.562 (50.894)	Prec@5 80.469 (80.654)
Epoch: [64][10620/14090]	Time 0.826 (0.766)	Data 0.001 (0.001)	Loss 1.6659 (1.8883)	Prec@1 55.469 (50.893)	Prec@5 83.594 (80.654)
Epoch: [64][10630/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 1.8750 (1.8883)	Prec@1 52.344 (50.893)	Prec@5 78.906 (80.654)
Epoch: [64][10640/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.1373 (1.8883)	Prec@1 50.000 (50.894)	Prec@5 75.000 (80.653)
Epoch: [64][10650/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.1062 (1.8884)	Prec@1 46.094 (50.893)	Prec@5 75.000 (80.653)
Epoch: [64][10660/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.1983 (1.8883)	Prec@1 44.531 (50.893)	Prec@5 72.656 (80.654)
Epoch: [64][10670/14090]	Time 0.726 (0.766)	Data 0.000 (0.001)	Loss 1.7308 (1.8883)	Prec@1 57.031 (50.894)	Prec@5 84.375 (80.654)
Epoch: [64][10680/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 1.7639 (1.8883)	Prec@1 53.125 (50.893)	Prec@5 79.688 (80.653)
Epoch: [64][10690/14090]	Time 0.852 (0.766)	Data 0.001 (0.001)	Loss 1.9957 (1.8883)	Prec@1 48.438 (50.893)	Prec@5 76.562 (80.652)
Epoch: [64][10700/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 1.8206 (1.8884)	Prec@1 57.812 (50.893)	Prec@5 78.125 (80.651)
Epoch: [64][10710/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 1.8844 (1.8884)	Prec@1 50.781 (50.892)	Prec@5 78.125 (80.650)
Epoch: [64][10720/14090]	Time 0.777 (0.766)	Data 0.001 (0.001)	Loss 1.7545 (1.8884)	Prec@1 52.344 (50.892)	Prec@5 82.812 (80.652)
Epoch: [64][10730/14090]	Time 0.720 (0.766)	Data 0.001 (0.001)	Loss 1.6171 (1.8884)	Prec@1 58.594 (50.890)	Prec@5 84.375 (80.652)
Epoch: [64][10740/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 1.6954 (1.8883)	Prec@1 55.469 (50.894)	Prec@5 85.938 (80.653)
Epoch: [64][10750/14090]	Time 0.773 (0.766)	Data 0.001 (0.001)	Loss 1.8551 (1.8882)	Prec@1 50.781 (50.893)	Prec@5 81.250 (80.654)
Epoch: [64][10760/14090]	Time 0.833 (0.766)	Data 0.001 (0.001)	Loss 1.8526 (1.8882)	Prec@1 52.344 (50.895)	Prec@5 82.031 (80.654)
Epoch: [64][10770/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 1.6111 (1.8882)	Prec@1 54.688 (50.896)	Prec@5 82.031 (80.653)
Epoch: [64][10780/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 1.8347 (1.8882)	Prec@1 55.469 (50.897)	Prec@5 78.906 (80.653)
Epoch: [64][10790/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 2.1453 (1.8882)	Prec@1 43.750 (50.897)	Prec@5 75.781 (80.653)
Epoch: [64][10800/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.3435 (1.8882)	Prec@1 46.875 (50.898)	Prec@5 74.219 (80.654)
Epoch: [64][10810/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 1.8410 (1.8882)	Prec@1 49.219 (50.898)	Prec@5 83.594 (80.654)
Epoch: [64][10820/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 1.9932 (1.8883)	Prec@1 47.656 (50.898)	Prec@5 79.688 (80.654)
Epoch: [64][10830/14090]	Time 0.884 (0.766)	Data 0.001 (0.001)	Loss 1.8773 (1.8883)	Prec@1 48.438 (50.896)	Prec@5 82.031 (80.653)
Epoch: [64][10840/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 1.7848 (1.8883)	Prec@1 56.250 (50.894)	Prec@5 84.375 (80.653)
Epoch: [64][10850/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 1.9686 (1.8884)	Prec@1 51.562 (50.893)	Prec@5 73.438 (80.652)
Epoch: [64][10860/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 1.4705 (1.8883)	Prec@1 61.719 (50.894)	Prec@5 85.938 (80.652)
Epoch: [64][10870/14090]	Time 0.765 (0.766)	Data 0.001 (0.001)	Loss 1.8970 (1.8883)	Prec@1 50.000 (50.896)	Prec@5 79.688 (80.653)
Epoch: [64][10880/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.0467 (1.8882)	Prec@1 43.750 (50.895)	Prec@5 76.562 (80.653)
Epoch: [64][10890/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 1.7930 (1.8883)	Prec@1 48.438 (50.894)	Prec@5 85.156 (80.652)
Epoch: [64][10900/14090]	Time 0.874 (0.766)	Data 0.001 (0.001)	Loss 1.7607 (1.8883)	Prec@1 53.125 (50.895)	Prec@5 82.812 (80.653)
Epoch: [64][10910/14090]	Time 0.723 (0.766)	Data 0.001 (0.001)	Loss 1.5736 (1.8882)	Prec@1 58.594 (50.897)	Prec@5 88.281 (80.655)
Epoch: [64][10920/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.3536 (1.8882)	Prec@1 38.281 (50.896)	Prec@5 69.531 (80.654)
Epoch: [64][10930/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 1.9758 (1.8882)	Prec@1 48.438 (50.897)	Prec@5 78.125 (80.654)
Epoch: [64][10940/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 1.7540 (1.8881)	Prec@1 54.688 (50.898)	Prec@5 81.250 (80.655)
Epoch: [64][10950/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 1.7749 (1.8881)	Prec@1 50.000 (50.897)	Prec@5 83.594 (80.656)
Epoch: [64][10960/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.0675 (1.8882)	Prec@1 42.969 (50.895)	Prec@5 79.688 (80.655)
Epoch: [64][10970/14090]	Time 0.838 (0.766)	Data 0.001 (0.001)	Loss 1.6882 (1.8882)	Prec@1 55.469 (50.895)	Prec@5 85.938 (80.655)
Epoch: [64][10980/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.1242 (1.8882)	Prec@1 46.875 (50.897)	Prec@5 75.781 (80.654)
Epoch: [64][10990/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 1.8386 (1.8882)	Prec@1 51.562 (50.899)	Prec@5 81.250 (80.654)
Epoch: [64][11000/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 1.8271 (1.8881)	Prec@1 54.688 (50.900)	Prec@5 78.906 (80.655)
Epoch: [64][11010/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.1690 (1.8882)	Prec@1 48.438 (50.899)	Prec@5 76.562 (80.655)
Epoch: [64][11020/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 2.1314 (1.8882)	Prec@1 46.875 (50.897)	Prec@5 77.344 (80.654)
Epoch: [64][11030/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.1136 (1.8883)	Prec@1 43.750 (50.895)	Prec@5 78.906 (80.654)
Epoch: [64][11040/14090]	Time 0.826 (0.766)	Data 0.001 (0.001)	Loss 1.9627 (1.8883)	Prec@1 49.219 (50.896)	Prec@5 76.562 (80.654)
Epoch: [64][11050/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 1.8508 (1.8883)	Prec@1 50.781 (50.896)	Prec@5 82.812 (80.654)
Epoch: [64][11060/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 1.9450 (1.8883)	Prec@1 50.000 (50.897)	Prec@5 78.906 (80.655)
Epoch: [64][11070/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 1.6689 (1.8883)	Prec@1 58.594 (50.899)	Prec@5 80.469 (80.655)
Epoch: [64][11080/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.0011 (1.8883)	Prec@1 46.875 (50.899)	Prec@5 77.344 (80.652)
Epoch: [64][11090/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.1603 (1.8883)	Prec@1 42.188 (50.898)	Prec@5 76.562 (80.653)
Epoch: [64][11100/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.0937 (1.8883)	Prec@1 49.219 (50.898)	Prec@5 77.344 (80.653)
Epoch: [64][11110/14090]	Time 0.919 (0.766)	Data 0.001 (0.001)	Loss 1.9952 (1.8883)	Prec@1 47.656 (50.898)	Prec@5 78.125 (80.652)
Epoch: [64][11120/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 1.9142 (1.8882)	Prec@1 50.781 (50.900)	Prec@5 79.688 (80.652)
Epoch: [64][11130/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 1.9017 (1.8882)	Prec@1 58.594 (50.900)	Prec@5 75.781 (80.652)
Epoch: [64][11140/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 1.7362 (1.8883)	Prec@1 57.031 (50.899)	Prec@5 84.375 (80.652)
Epoch: [64][11150/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 1.8697 (1.8882)	Prec@1 55.469 (50.900)	Prec@5 83.594 (80.652)
Epoch: [64][11160/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 1.9003 (1.8882)	Prec@1 50.000 (50.901)	Prec@5 78.125 (80.654)
Epoch: [64][11170/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 1.7314 (1.8882)	Prec@1 57.031 (50.903)	Prec@5 85.156 (80.656)
Epoch: [64][11180/14090]	Time 0.870 (0.766)	Data 0.001 (0.001)	Loss 1.8307 (1.8882)	Prec@1 51.562 (50.902)	Prec@5 82.812 (80.655)
Epoch: [64][11190/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 1.9426 (1.8882)	Prec@1 51.562 (50.901)	Prec@5 81.250 (80.655)
Epoch: [64][11200/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 1.9869 (1.8882)	Prec@1 43.750 (50.904)	Prec@5 79.688 (80.657)
Epoch: [64][11210/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 1.9347 (1.8881)	Prec@1 52.344 (50.903)	Prec@5 75.000 (80.656)
Epoch: [64][11220/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.1917 (1.8882)	Prec@1 42.188 (50.902)	Prec@5 75.000 (80.656)
Epoch: [64][11230/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 1.8943 (1.8882)	Prec@1 56.250 (50.901)	Prec@5 78.125 (80.655)
Epoch: [64][11240/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 1.9999 (1.8883)	Prec@1 46.875 (50.900)	Prec@5 81.250 (80.655)
Epoch: [64][11250/14090]	Time 0.846 (0.766)	Data 0.001 (0.001)	Loss 2.0964 (1.8883)	Prec@1 49.219 (50.900)	Prec@5 77.344 (80.654)
Epoch: [64][11260/14090]	Time 0.780 (0.766)	Data 0.001 (0.001)	Loss 2.4476 (1.8883)	Prec@1 39.844 (50.899)	Prec@5 67.188 (80.653)
Epoch: [64][11270/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.0742 (1.8884)	Prec@1 44.531 (50.898)	Prec@5 76.562 (80.653)
Epoch: [64][11280/14090]	Time 0.724 (0.766)	Data 0.001 (0.001)	Loss 1.9502 (1.8884)	Prec@1 49.219 (50.898)	Prec@5 76.562 (80.654)
Epoch: [64][11290/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 1.9454 (1.8884)	Prec@1 53.125 (50.898)	Prec@5 81.250 (80.655)
Epoch: [64][11300/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.0795 (1.8884)	Prec@1 46.875 (50.898)	Prec@5 82.812 (80.655)
Epoch: [64][11310/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 1.8004 (1.8884)	Prec@1 51.562 (50.900)	Prec@5 88.281 (80.657)
Epoch: [64][11320/14090]	Time 0.836 (0.766)	Data 0.001 (0.001)	Loss 1.9970 (1.8884)	Prec@1 49.219 (50.899)	Prec@5 78.906 (80.658)
Epoch: [64][11330/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 1.9885 (1.8885)	Prec@1 45.312 (50.896)	Prec@5 78.906 (80.655)
Epoch: [64][11340/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.0364 (1.8885)	Prec@1 47.656 (50.894)	Prec@5 78.906 (80.656)
Epoch: [64][11350/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 1.9901 (1.8884)	Prec@1 49.219 (50.894)	Prec@5 79.688 (80.657)
Epoch: [64][11360/14090]	Time 0.745 (0.766)	Data 0.004 (0.001)	Loss 1.8312 (1.8884)	Prec@1 51.562 (50.895)	Prec@5 78.906 (80.656)
Epoch: [64][11370/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 1.8481 (1.8885)	Prec@1 57.031 (50.894)	Prec@5 83.594 (80.655)
Epoch: [64][11380/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 1.7446 (1.8886)	Prec@1 53.906 (50.892)	Prec@5 83.594 (80.654)
Epoch: [64][11390/14090]	Time 0.875 (0.766)	Data 0.001 (0.001)	Loss 1.6299 (1.8885)	Prec@1 57.031 (50.893)	Prec@5 83.594 (80.656)
Epoch: [64][11400/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 1.9926 (1.8885)	Prec@1 49.219 (50.892)	Prec@5 79.688 (80.656)
Epoch: [64][11410/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 1.7321 (1.8886)	Prec@1 50.781 (50.890)	Prec@5 84.375 (80.656)
Epoch: [64][11420/14090]	Time 0.771 (0.766)	Data 0.001 (0.001)	Loss 2.0095 (1.8886)	Prec@1 44.531 (50.891)	Prec@5 78.906 (80.655)
Epoch: [64][11430/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 1.9180 (1.8885)	Prec@1 50.000 (50.891)	Prec@5 85.156 (80.657)
Epoch: [64][11440/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 1.6868 (1.8886)	Prec@1 52.344 (50.890)	Prec@5 85.938 (80.656)
Epoch: [64][11450/14090]	Time 0.781 (0.765)	Data 0.001 (0.001)	Loss 1.6282 (1.8886)	Prec@1 55.469 (50.888)	Prec@5 83.594 (80.656)
Epoch: [64][11460/14090]	Time 0.983 (0.766)	Data 0.001 (0.001)	Loss 2.0200 (1.8886)	Prec@1 49.219 (50.888)	Prec@5 80.469 (80.656)
Epoch: [64][11470/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.0193 (1.8886)	Prec@1 49.219 (50.889)	Prec@5 75.000 (80.655)
Epoch: [64][11480/14090]	Time 0.772 (0.766)	Data 0.001 (0.001)	Loss 2.0167 (1.8887)	Prec@1 50.781 (50.889)	Prec@5 80.469 (80.654)
Epoch: [64][11490/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.0918 (1.8887)	Prec@1 50.781 (50.889)	Prec@5 79.688 (80.654)
Epoch: [64][11500/14090]	Time 0.768 (0.766)	Data 0.001 (0.001)	Loss 1.7985 (1.8885)	Prec@1 54.688 (50.892)	Prec@5 85.938 (80.657)
Epoch: [64][11510/14090]	Time 0.765 (0.766)	Data 0.001 (0.001)	Loss 1.7797 (1.8886)	Prec@1 50.781 (50.891)	Prec@5 85.938 (80.655)
Epoch: [64][11520/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 1.9493 (1.8886)	Prec@1 50.000 (50.892)	Prec@5 76.562 (80.656)
Epoch: [64][11530/14090]	Time 0.963 (0.766)	Data 0.001 (0.001)	Loss 2.2464 (1.8886)	Prec@1 41.406 (50.892)	Prec@5 71.094 (80.655)
Epoch: [64][11540/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.1002 (1.8887)	Prec@1 47.656 (50.891)	Prec@5 73.438 (80.654)
Epoch: [64][11550/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 1.6312 (1.8887)	Prec@1 60.938 (50.893)	Prec@5 84.375 (80.655)
Epoch: [64][11560/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.0103 (1.8887)	Prec@1 47.656 (50.893)	Prec@5 82.031 (80.655)
Epoch: [64][11570/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 1.8667 (1.8886)	Prec@1 50.781 (50.893)	Prec@5 78.125 (80.656)
Epoch: [64][11580/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 1.6628 (1.8887)	Prec@1 60.938 (50.894)	Prec@5 82.812 (80.656)
Epoch: [64][11590/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 1.9936 (1.8887)	Prec@1 49.219 (50.893)	Prec@5 80.469 (80.656)
Epoch: [64][11600/14090]	Time 0.854 (0.766)	Data 0.001 (0.001)	Loss 1.6742 (1.8887)	Prec@1 57.812 (50.892)	Prec@5 85.156 (80.656)
Epoch: [64][11610/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 1.6906 (1.8888)	Prec@1 59.375 (50.891)	Prec@5 83.594 (80.655)
Epoch: [64][11620/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 1.9929 (1.8888)	Prec@1 49.219 (50.889)	Prec@5 81.250 (80.654)
Epoch: [64][11630/14090]	Time 0.752 (0.766)	Data 0.002 (0.001)	Loss 1.6557 (1.8887)	Prec@1 57.812 (50.892)	Prec@5 85.156 (80.656)
Epoch: [64][11640/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 1.7917 (1.8888)	Prec@1 51.562 (50.891)	Prec@5 83.594 (80.655)
Epoch: [64][11650/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.0506 (1.8888)	Prec@1 52.344 (50.890)	Prec@5 78.125 (80.654)
Epoch: [64][11660/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 1.8722 (1.8888)	Prec@1 49.219 (50.891)	Prec@5 81.250 (80.654)
Epoch: [64][11670/14090]	Time 0.849 (0.766)	Data 0.003 (0.001)	Loss 1.6978 (1.8888)	Prec@1 60.156 (50.890)	Prec@5 80.469 (80.654)
Epoch: [64][11680/14090]	Time 0.723 (0.766)	Data 0.001 (0.001)	Loss 2.0808 (1.8889)	Prec@1 47.656 (50.888)	Prec@5 75.000 (80.652)
Epoch: [64][11690/14090]	Time 0.732 (0.766)	Data 0.002 (0.001)	Loss 1.8869 (1.8889)	Prec@1 48.438 (50.886)	Prec@5 85.156 (80.651)
Epoch: [64][11700/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 1.9851 (1.8890)	Prec@1 51.562 (50.886)	Prec@5 78.125 (80.650)
Epoch: [64][11710/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 1.9673 (1.8890)	Prec@1 50.781 (50.886)	Prec@5 78.125 (80.650)
Epoch: [64][11720/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.1031 (1.8890)	Prec@1 44.531 (50.885)	Prec@5 76.562 (80.648)
Epoch: [64][11730/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.1281 (1.8890)	Prec@1 46.875 (50.886)	Prec@5 78.125 (80.648)
Epoch: [64][11740/14090]	Time 0.905 (0.766)	Data 0.001 (0.001)	Loss 1.8088 (1.8890)	Prec@1 51.562 (50.886)	Prec@5 80.469 (80.649)
Epoch: [64][11750/14090]	Time 0.774 (0.766)	Data 0.001 (0.001)	Loss 1.6027 (1.8889)	Prec@1 55.469 (50.886)	Prec@5 85.156 (80.649)
Epoch: [64][11760/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 1.6216 (1.8889)	Prec@1 58.594 (50.886)	Prec@5 84.375 (80.650)
Epoch: [64][11770/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 1.7524 (1.8889)	Prec@1 53.125 (50.885)	Prec@5 81.250 (80.650)
Epoch: [64][11780/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 1.6425 (1.8889)	Prec@1 53.906 (50.886)	Prec@5 84.375 (80.651)
Epoch: [64][11790/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.1469 (1.8888)	Prec@1 43.750 (50.885)	Prec@5 76.562 (80.650)
Epoch: [64][11800/14090]	Time 0.772 (0.766)	Data 0.001 (0.001)	Loss 1.8785 (1.8888)	Prec@1 50.000 (50.887)	Prec@5 81.250 (80.652)
Epoch: [64][11810/14090]	Time 0.864 (0.766)	Data 0.001 (0.001)	Loss 1.4883 (1.8887)	Prec@1 58.594 (50.886)	Prec@5 88.281 (80.653)
Epoch: [64][11820/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 1.9869 (1.8888)	Prec@1 51.562 (50.886)	Prec@5 75.781 (80.652)
Epoch: [64][11830/14090]	Time 0.767 (0.766)	Data 0.001 (0.001)	Loss 1.9680 (1.8888)	Prec@1 50.000 (50.885)	Prec@5 82.812 (80.652)
Epoch: [64][11840/14090]	Time 0.767 (0.766)	Data 0.001 (0.001)	Loss 1.8447 (1.8888)	Prec@1 55.469 (50.885)	Prec@5 82.031 (80.651)
Epoch: [64][11850/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 1.9830 (1.8889)	Prec@1 48.438 (50.884)	Prec@5 78.125 (80.651)
Epoch: [64][11860/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 1.5646 (1.8888)	Prec@1 59.375 (50.885)	Prec@5 84.375 (80.652)
Epoch: [64][11870/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 1.7050 (1.8888)	Prec@1 53.906 (50.884)	Prec@5 82.031 (80.651)
Epoch: [64][11880/14090]	Time 0.853 (0.766)	Data 0.001 (0.001)	Loss 1.9285 (1.8889)	Prec@1 50.781 (50.884)	Prec@5 76.562 (80.650)
Epoch: [64][11890/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 1.9547 (1.8888)	Prec@1 50.781 (50.885)	Prec@5 81.250 (80.652)
Epoch: [64][11900/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 1.3832 (1.8888)	Prec@1 67.188 (50.884)	Prec@5 85.156 (80.651)
Epoch: [64][11910/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 1.9601 (1.8888)	Prec@1 50.000 (50.883)	Prec@5 79.688 (80.652)
Epoch: [64][11920/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 1.6544 (1.8888)	Prec@1 60.938 (50.884)	Prec@5 84.375 (80.653)
Epoch: [64][11930/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 1.8855 (1.8888)	Prec@1 50.781 (50.883)	Prec@5 82.031 (80.652)
Epoch: [64][11940/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 1.8656 (1.8888)	Prec@1 54.688 (50.885)	Prec@5 80.469 (80.652)
Epoch: [64][11950/14090]	Time 0.839 (0.766)	Data 0.001 (0.001)	Loss 2.0862 (1.8888)	Prec@1 50.000 (50.885)	Prec@5 76.562 (80.652)
Epoch: [64][11960/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 1.6802 (1.8887)	Prec@1 60.156 (50.886)	Prec@5 86.719 (80.653)
Epoch: [64][11970/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 1.9640 (1.8888)	Prec@1 46.875 (50.884)	Prec@5 78.906 (80.652)
Epoch: [64][11980/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 1.8471 (1.8888)	Prec@1 50.781 (50.886)	Prec@5 80.469 (80.653)
Epoch: [64][11990/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 1.6081 (1.8888)	Prec@1 51.562 (50.885)	Prec@5 84.375 (80.652)
Epoch: [64][12000/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 1.9440 (1.8889)	Prec@1 51.562 (50.884)	Prec@5 78.125 (80.652)
Epoch: [64][12010/14090]	Time 0.723 (0.766)	Data 0.001 (0.001)	Loss 1.9448 (1.8889)	Prec@1 50.781 (50.886)	Prec@5 75.000 (80.651)
Epoch: [64][12020/14090]	Time 0.846 (0.766)	Data 0.001 (0.001)	Loss 2.1237 (1.8889)	Prec@1 46.094 (50.887)	Prec@5 78.906 (80.652)
Epoch: [64][12030/14090]	Time 0.763 (0.766)	Data 0.002 (0.001)	Loss 2.0200 (1.8889)	Prec@1 45.312 (50.886)	Prec@5 74.219 (80.650)
Epoch: [64][12040/14090]	Time 0.750 (0.766)	Data 0.002 (0.001)	Loss 1.8219 (1.8889)	Prec@1 56.250 (50.885)	Prec@5 78.906 (80.649)
Epoch: [64][12050/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 1.8906 (1.8890)	Prec@1 44.531 (50.883)	Prec@5 77.344 (80.648)
Epoch: [64][12060/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 1.6116 (1.8889)	Prec@1 57.031 (50.886)	Prec@5 85.156 (80.650)
Epoch: [64][12070/14090]	Time 0.723 (0.766)	Data 0.001 (0.001)	Loss 1.9194 (1.8890)	Prec@1 51.562 (50.883)	Prec@5 77.344 (80.648)
Epoch: [64][12080/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 1.9309 (1.8890)	Prec@1 50.000 (50.884)	Prec@5 78.906 (80.648)
Epoch: [64][12090/14090]	Time 0.940 (0.766)	Data 0.001 (0.001)	Loss 1.6626 (1.8890)	Prec@1 60.156 (50.885)	Prec@5 83.594 (80.648)
Epoch: [64][12100/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 1.9288 (1.8890)	Prec@1 50.000 (50.884)	Prec@5 82.812 (80.650)
Epoch: [64][12110/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.1734 (1.8889)	Prec@1 42.969 (50.884)	Prec@5 75.000 (80.650)
Epoch: [64][12120/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 1.9144 (1.8889)	Prec@1 52.344 (50.885)	Prec@5 82.031 (80.651)
Epoch: [64][12130/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 1.9771 (1.8889)	Prec@1 50.000 (50.885)	Prec@5 82.031 (80.652)
Epoch: [64][12140/14090]	Time 0.723 (0.766)	Data 0.001 (0.001)	Loss 2.1066 (1.8889)	Prec@1 50.000 (50.883)	Prec@5 79.688 (80.653)
Epoch: [64][12150/14090]	Time 0.773 (0.766)	Data 0.001 (0.001)	Loss 1.6555 (1.8890)	Prec@1 53.906 (50.884)	Prec@5 84.375 (80.652)
Epoch: [64][12160/14090]	Time 0.894 (0.766)	Data 0.001 (0.001)	Loss 1.8797 (1.8890)	Prec@1 50.781 (50.883)	Prec@5 78.125 (80.652)
Epoch: [64][12170/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 1.7761 (1.8890)	Prec@1 53.125 (50.883)	Prec@5 78.906 (80.652)
Epoch: [64][12180/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 1.9203 (1.8890)	Prec@1 46.875 (50.883)	Prec@5 78.906 (80.651)
Epoch: [64][12190/14090]	Time 0.722 (0.766)	Data 0.001 (0.001)	Loss 1.8425 (1.8891)	Prec@1 50.781 (50.880)	Prec@5 82.031 (80.650)
Epoch: [64][12200/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 1.6927 (1.8890)	Prec@1 50.000 (50.881)	Prec@5 83.594 (80.650)
Epoch: [64][12210/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 1.8573 (1.8891)	Prec@1 46.875 (50.882)	Prec@5 82.031 (80.651)
Epoch: [64][12220/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.0237 (1.8891)	Prec@1 51.562 (50.880)	Prec@5 77.344 (80.649)
Epoch: [64][12230/14090]	Time 0.929 (0.766)	Data 0.001 (0.001)	Loss 2.0007 (1.8892)	Prec@1 54.688 (50.880)	Prec@5 79.688 (80.650)
Epoch: [64][12240/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 1.8651 (1.8891)	Prec@1 44.531 (50.880)	Prec@5 81.250 (80.651)
Epoch: [64][12250/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.0721 (1.8891)	Prec@1 50.000 (50.882)	Prec@5 75.781 (80.653)
Epoch: [64][12260/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 1.7939 (1.8891)	Prec@1 53.906 (50.884)	Prec@5 81.250 (80.654)
Epoch: [64][12270/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 1.8757 (1.8890)	Prec@1 47.656 (50.884)	Prec@5 80.469 (80.654)
Epoch: [64][12280/14090]	Time 0.769 (0.766)	Data 0.001 (0.001)	Loss 1.9317 (1.8890)	Prec@1 52.344 (50.884)	Prec@5 78.125 (80.654)
Epoch: [64][12290/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 1.8326 (1.8890)	Prec@1 52.344 (50.884)	Prec@5 82.812 (80.654)
Epoch: [64][12300/14090]	Time 0.900 (0.766)	Data 0.001 (0.001)	Loss 1.8706 (1.8890)	Prec@1 50.000 (50.884)	Prec@5 77.344 (80.654)
Epoch: [64][12310/14090]	Time 0.722 (0.766)	Data 0.001 (0.001)	Loss 1.8676 (1.8890)	Prec@1 49.219 (50.886)	Prec@5 82.031 (80.655)
Epoch: [64][12320/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 1.7685 (1.8889)	Prec@1 50.000 (50.886)	Prec@5 82.031 (80.655)
Epoch: [64][12330/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.0911 (1.8890)	Prec@1 45.312 (50.885)	Prec@5 71.094 (80.652)
Epoch: [64][12340/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 1.8232 (1.8889)	Prec@1 53.125 (50.888)	Prec@5 79.688 (80.653)
Epoch: [64][12350/14090]	Time 0.755 (0.766)	Data 0.002 (0.001)	Loss 1.7255 (1.8889)	Prec@1 55.469 (50.888)	Prec@5 82.031 (80.652)
Epoch: [64][12360/14090]	Time 0.722 (0.766)	Data 0.001 (0.001)	Loss 1.8365 (1.8889)	Prec@1 57.031 (50.887)	Prec@5 82.031 (80.652)
Epoch: [64][12370/14090]	Time 0.822 (0.766)	Data 0.001 (0.001)	Loss 1.8622 (1.8889)	Prec@1 48.438 (50.887)	Prec@5 82.031 (80.653)
Epoch: [64][12380/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 1.7927 (1.8889)	Prec@1 51.562 (50.886)	Prec@5 81.250 (80.654)
Epoch: [64][12390/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 1.8129 (1.8888)	Prec@1 54.688 (50.888)	Prec@5 81.250 (80.654)
Epoch: [64][12400/14090]	Time 0.772 (0.766)	Data 0.001 (0.001)	Loss 1.8894 (1.8889)	Prec@1 57.812 (50.887)	Prec@5 80.469 (80.654)
Epoch: [64][12410/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 1.5670 (1.8889)	Prec@1 62.500 (50.889)	Prec@5 89.062 (80.653)
Epoch: [64][12420/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 1.9583 (1.8889)	Prec@1 50.000 (50.888)	Prec@5 78.125 (80.653)
Epoch: [64][12430/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 1.7511 (1.8889)	Prec@1 51.562 (50.888)	Prec@5 82.031 (80.652)
Epoch: [64][12440/14090]	Time 0.870 (0.766)	Data 0.001 (0.001)	Loss 1.7609 (1.8889)	Prec@1 54.688 (50.890)	Prec@5 83.594 (80.652)
Epoch: [64][12450/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 1.9184 (1.8889)	Prec@1 50.000 (50.890)	Prec@5 82.812 (80.654)
Epoch: [64][12460/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 1.7759 (1.8889)	Prec@1 51.562 (50.889)	Prec@5 81.250 (80.653)
Epoch: [64][12470/14090]	Time 0.765 (0.766)	Data 0.001 (0.001)	Loss 1.5910 (1.8889)	Prec@1 53.906 (50.888)	Prec@5 88.281 (80.653)
Epoch: [64][12480/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 2.1440 (1.8888)	Prec@1 46.875 (50.889)	Prec@5 77.344 (80.653)
Epoch: [64][12490/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 1.9925 (1.8889)	Prec@1 48.438 (50.890)	Prec@5 78.125 (80.653)
Epoch: [64][12500/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 1.8196 (1.8888)	Prec@1 54.688 (50.891)	Prec@5 82.812 (80.653)
Epoch: [64][12510/14090]	Time 0.828 (0.766)	Data 0.001 (0.001)	Loss 2.0080 (1.8888)	Prec@1 47.656 (50.893)	Prec@5 78.906 (80.653)
Epoch: [64][12520/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 1.9357 (1.8889)	Prec@1 49.219 (50.892)	Prec@5 75.000 (80.652)
Epoch: [64][12530/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 1.7884 (1.8889)	Prec@1 52.344 (50.891)	Prec@5 83.594 (80.651)
Epoch: [64][12540/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 1.8811 (1.8889)	Prec@1 45.312 (50.892)	Prec@5 78.906 (80.652)
Epoch: [64][12550/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 1.8697 (1.8889)	Prec@1 57.812 (50.891)	Prec@5 78.125 (80.653)
Epoch: [64][12560/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 1.8632 (1.8890)	Prec@1 51.562 (50.889)	Prec@5 82.812 (80.652)
Epoch: [64][12570/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 1.7060 (1.8890)	Prec@1 53.906 (50.889)	Prec@5 85.156 (80.651)
Epoch: [64][12580/14090]	Time 0.901 (0.766)	Data 0.001 (0.001)	Loss 1.8080 (1.8890)	Prec@1 51.562 (50.888)	Prec@5 83.594 (80.651)
Epoch: [64][12590/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 1.6301 (1.8890)	Prec@1 57.031 (50.888)	Prec@5 82.031 (80.652)
Epoch: [64][12600/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.0275 (1.8890)	Prec@1 42.969 (50.887)	Prec@5 81.250 (80.651)
Epoch: [64][12610/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.0057 (1.8890)	Prec@1 48.438 (50.886)	Prec@5 76.562 (80.651)
Epoch: [64][12620/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 2.0295 (1.8890)	Prec@1 45.312 (50.887)	Prec@5 77.344 (80.652)
Epoch: [64][12630/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 1.9224 (1.8890)	Prec@1 50.000 (50.885)	Prec@5 81.250 (80.652)
Epoch: [64][12640/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 1.9513 (1.8891)	Prec@1 50.781 (50.885)	Prec@5 76.562 (80.649)
Epoch: [64][12650/14090]	Time 0.868 (0.765)	Data 0.001 (0.001)	Loss 1.8691 (1.8890)	Prec@1 54.688 (50.885)	Prec@5 78.125 (80.648)
Epoch: [64][12660/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 1.7282 (1.8890)	Prec@1 57.031 (50.887)	Prec@5 81.250 (80.648)
Epoch: [64][12670/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 1.7295 (1.8890)	Prec@1 55.469 (50.888)	Prec@5 85.156 (80.649)
Epoch: [64][12680/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 1.5647 (1.8890)	Prec@1 55.469 (50.888)	Prec@5 89.062 (80.650)
Epoch: [64][12690/14090]	Time 0.778 (0.765)	Data 0.001 (0.001)	Loss 1.8361 (1.8890)	Prec@1 53.125 (50.889)	Prec@5 78.125 (80.650)
Epoch: [64][12700/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 1.9358 (1.8890)	Prec@1 51.562 (50.889)	Prec@5 81.250 (80.650)
Epoch: [64][12710/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 1.8241 (1.8890)	Prec@1 50.781 (50.889)	Prec@5 78.906 (80.650)
Epoch: [64][12720/14090]	Time 0.821 (0.765)	Data 0.001 (0.001)	Loss 1.9253 (1.8890)	Prec@1 53.125 (50.889)	Prec@5 78.125 (80.650)
Epoch: [64][12730/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 1.9486 (1.8890)	Prec@1 49.219 (50.889)	Prec@5 78.125 (80.650)
Epoch: [64][12740/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 1.8137 (1.8890)	Prec@1 51.562 (50.889)	Prec@5 78.906 (80.650)
Epoch: [64][12750/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 1.9772 (1.8890)	Prec@1 46.875 (50.888)	Prec@5 81.250 (80.649)
Epoch: [64][12760/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.0220 (1.8890)	Prec@1 54.688 (50.890)	Prec@5 75.781 (80.649)
Epoch: [64][12770/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 1.8690 (1.8890)	Prec@1 50.000 (50.890)	Prec@5 81.250 (80.649)
Epoch: [64][12780/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 1.7713 (1.8890)	Prec@1 53.125 (50.893)	Prec@5 78.906 (80.650)
Epoch: [64][12790/14090]	Time 0.869 (0.765)	Data 0.001 (0.001)	Loss 2.0303 (1.8890)	Prec@1 48.438 (50.891)	Prec@5 78.906 (80.650)
Epoch: [64][12800/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 1.7601 (1.8890)	Prec@1 52.344 (50.890)	Prec@5 78.906 (80.650)
Epoch: [64][12810/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.0806 (1.8890)	Prec@1 44.531 (50.891)	Prec@5 75.781 (80.651)
Epoch: [64][12820/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 1.7901 (1.8890)	Prec@1 53.125 (50.891)	Prec@5 84.375 (80.651)
Epoch: [64][12830/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.0079 (1.8891)	Prec@1 49.219 (50.889)	Prec@5 77.344 (80.650)
Epoch: [64][12840/14090]	Time 0.746 (0.765)	Data 0.000 (0.001)	Loss 2.0537 (1.8890)	Prec@1 53.125 (50.889)	Prec@5 77.344 (80.650)
Epoch: [64][12850/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.0629 (1.8891)	Prec@1 50.000 (50.889)	Prec@5 78.906 (80.650)
Epoch: [64][12860/14090]	Time 0.857 (0.765)	Data 0.001 (0.001)	Loss 1.9889 (1.8890)	Prec@1 48.438 (50.892)	Prec@5 76.562 (80.650)
Epoch: [64][12870/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 1.8800 (1.8890)	Prec@1 48.438 (50.892)	Prec@5 79.688 (80.650)
Epoch: [64][12880/14090]	Time 0.722 (0.765)	Data 0.001 (0.001)	Loss 1.7089 (1.8890)	Prec@1 63.281 (50.893)	Prec@5 83.594 (80.651)
Epoch: [64][12890/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.1990 (1.8890)	Prec@1 49.219 (50.894)	Prec@5 76.562 (80.651)
Epoch: [64][12900/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 1.7187 (1.8889)	Prec@1 54.688 (50.895)	Prec@5 83.594 (80.652)
Epoch: [64][12910/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 1.7598 (1.8889)	Prec@1 52.344 (50.896)	Prec@5 81.250 (80.652)
Epoch: [64][12920/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.0037 (1.8889)	Prec@1 50.000 (50.896)	Prec@5 78.125 (80.653)
Epoch: [64][12930/14090]	Time 0.881 (0.765)	Data 0.001 (0.001)	Loss 1.7698 (1.8889)	Prec@1 55.469 (50.895)	Prec@5 82.812 (80.653)
Epoch: [64][12940/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 1.7853 (1.8888)	Prec@1 50.000 (50.897)	Prec@5 83.594 (80.653)
Epoch: [64][12950/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 1.9885 (1.8888)	Prec@1 47.656 (50.896)	Prec@5 78.125 (80.654)
Epoch: [64][12960/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.0192 (1.8888)	Prec@1 49.219 (50.896)	Prec@5 79.688 (80.656)
Epoch: [64][12970/14090]	Time 0.770 (0.765)	Data 0.001 (0.001)	Loss 1.9639 (1.8888)	Prec@1 51.562 (50.895)	Prec@5 82.031 (80.656)
Epoch: [64][12980/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 1.7542 (1.8888)	Prec@1 54.688 (50.893)	Prec@5 84.375 (80.656)
Epoch: [64][12990/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 1.7866 (1.8888)	Prec@1 48.438 (50.894)	Prec@5 82.031 (80.657)
Epoch: [64][13000/14090]	Time 0.873 (0.765)	Data 0.001 (0.001)	Loss 1.8557 (1.8888)	Prec@1 48.438 (50.893)	Prec@5 81.250 (80.658)
Epoch: [64][13010/14090]	Time 0.780 (0.765)	Data 0.001 (0.001)	Loss 2.0329 (1.8888)	Prec@1 50.000 (50.892)	Prec@5 77.344 (80.657)
Epoch: [64][13020/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 1.9562 (1.8888)	Prec@1 48.438 (50.893)	Prec@5 77.344 (80.658)
Epoch: [64][13030/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 1.7885 (1.8888)	Prec@1 53.125 (50.894)	Prec@5 84.375 (80.659)
Epoch: [64][13040/14090]	Time 0.768 (0.765)	Data 0.001 (0.001)	Loss 1.8526 (1.8887)	Prec@1 47.656 (50.896)	Prec@5 80.469 (80.660)
Epoch: [64][13050/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 1.9416 (1.8887)	Prec@1 50.000 (50.894)	Prec@5 77.344 (80.659)
Epoch: [64][13060/14090]	Time 0.772 (0.765)	Data 0.001 (0.001)	Loss 2.0413 (1.8887)	Prec@1 42.969 (50.894)	Prec@5 82.812 (80.660)
Epoch: [64][13070/14090]	Time 0.839 (0.765)	Data 0.001 (0.001)	Loss 2.1283 (1.8887)	Prec@1 46.875 (50.895)	Prec@5 75.000 (80.660)
Epoch: [64][13080/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 1.9552 (1.8887)	Prec@1 46.094 (50.895)	Prec@5 78.906 (80.660)
Epoch: [64][13090/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.0823 (1.8886)	Prec@1 50.000 (50.897)	Prec@5 77.344 (80.661)
Epoch: [64][13100/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 1.8638 (1.8886)	Prec@1 56.250 (50.900)	Prec@5 81.250 (80.662)
Epoch: [64][13110/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 1.9890 (1.8885)	Prec@1 52.344 (50.900)	Prec@5 76.562 (80.662)
Epoch: [64][13120/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 1.9870 (1.8885)	Prec@1 46.094 (50.902)	Prec@5 80.469 (80.663)
Epoch: [64][13130/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 1.8575 (1.8885)	Prec@1 56.250 (50.903)	Prec@5 77.344 (80.662)
Epoch: [64][13140/14090]	Time 0.929 (0.765)	Data 0.001 (0.001)	Loss 1.7700 (1.8885)	Prec@1 50.000 (50.903)	Prec@5 82.812 (80.662)
Epoch: [64][13150/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.1810 (1.8885)	Prec@1 44.531 (50.902)	Prec@5 74.219 (80.661)
Epoch: [64][13160/14090]	Time 0.779 (0.765)	Data 0.001 (0.001)	Loss 1.7439 (1.8885)	Prec@1 53.125 (50.902)	Prec@5 82.812 (80.661)
Epoch: [64][13170/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 1.9099 (1.8885)	Prec@1 39.062 (50.901)	Prec@5 84.375 (80.662)
Epoch: [64][13180/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.0034 (1.8885)	Prec@1 44.531 (50.902)	Prec@5 77.344 (80.662)
Epoch: [64][13190/14090]	Time 0.763 (0.765)	Data 0.003 (0.001)	Loss 1.8946 (1.8885)	Prec@1 48.438 (50.901)	Prec@5 78.906 (80.661)
Epoch: [64][13200/14090]	Time 0.769 (0.765)	Data 0.001 (0.001)	Loss 1.6794 (1.8886)	Prec@1 56.250 (50.901)	Prec@5 82.812 (80.661)
Epoch: [64][13210/14090]	Time 0.928 (0.765)	Data 0.001 (0.001)	Loss 1.7792 (1.8886)	Prec@1 54.688 (50.899)	Prec@5 82.031 (80.659)
Epoch: [64][13220/14090]	Time 0.749 (0.765)	Data 0.002 (0.001)	Loss 1.6852 (1.8886)	Prec@1 56.250 (50.901)	Prec@5 84.375 (80.660)
Epoch: [64][13230/14090]	Time 0.780 (0.765)	Data 0.001 (0.001)	Loss 1.8338 (1.8886)	Prec@1 52.344 (50.901)	Prec@5 85.156 (80.660)
Epoch: [64][13240/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 1.8659 (1.8886)	Prec@1 52.344 (50.901)	Prec@5 85.156 (80.660)
Epoch: [64][13250/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 1.7030 (1.8886)	Prec@1 58.594 (50.900)	Prec@5 81.250 (80.660)
Epoch: [64][13260/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 1.7827 (1.8886)	Prec@1 56.250 (50.900)	Prec@5 79.688 (80.660)
Epoch: [64][13270/14090]	Time 0.766 (0.765)	Data 0.001 (0.001)	Loss 1.9148 (1.8886)	Prec@1 46.875 (50.900)	Prec@5 78.125 (80.661)
Epoch: [64][13280/14090]	Time 0.875 (0.765)	Data 0.001 (0.001)	Loss 1.9232 (1.8886)	Prec@1 50.000 (50.899)	Prec@5 78.125 (80.661)
Epoch: [64][13290/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 1.9822 (1.8886)	Prec@1 50.000 (50.899)	Prec@5 77.344 (80.660)
Epoch: [64][13300/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 1.8368 (1.8886)	Prec@1 53.906 (50.899)	Prec@5 79.688 (80.659)
Epoch: [64][13310/14090]	Time 0.744 (0.765)	Data 0.004 (0.001)	Loss 1.7350 (1.8886)	Prec@1 54.688 (50.899)	Prec@5 82.031 (80.659)
Epoch: [64][13320/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 1.8870 (1.8886)	Prec@1 48.438 (50.898)	Prec@5 77.344 (80.658)
Epoch: [64][13330/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 1.7434 (1.8886)	Prec@1 53.125 (50.898)	Prec@5 84.375 (80.657)
Epoch: [64][13340/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 1.6709 (1.8886)	Prec@1 50.781 (50.898)	Prec@5 82.812 (80.657)
Epoch: [64][13350/14090]	Time 0.894 (0.765)	Data 0.001 (0.001)	Loss 1.7574 (1.8885)	Prec@1 53.906 (50.898)	Prec@5 82.031 (80.658)
Epoch: [64][13360/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 1.7097 (1.8885)	Prec@1 57.031 (50.899)	Prec@5 85.156 (80.658)
Epoch: [64][13370/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 1.7648 (1.8885)	Prec@1 53.125 (50.898)	Prec@5 83.594 (80.660)
Epoch: [64][13380/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 1.8499 (1.8884)	Prec@1 46.875 (50.897)	Prec@5 85.938 (80.661)
Epoch: [64][13390/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 1.9602 (1.8884)	Prec@1 53.125 (50.898)	Prec@5 81.250 (80.660)
Epoch: [64][13400/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 1.9839 (1.8884)	Prec@1 50.000 (50.897)	Prec@5 81.250 (80.660)
Epoch: [64][13410/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 1.6987 (1.8884)	Prec@1 50.781 (50.897)	Prec@5 85.156 (80.660)
Epoch: [64][13420/14090]	Time 0.868 (0.765)	Data 0.001 (0.001)	Loss 2.0194 (1.8884)	Prec@1 50.000 (50.897)	Prec@5 76.562 (80.661)
Epoch: [64][13430/14090]	Time 0.718 (0.765)	Data 0.001 (0.001)	Loss 1.6958 (1.8884)	Prec@1 57.812 (50.896)	Prec@5 85.156 (80.661)
Epoch: [64][13440/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.0087 (1.8883)	Prec@1 52.344 (50.897)	Prec@5 75.781 (80.662)
Epoch: [64][13450/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.0227 (1.8882)	Prec@1 49.219 (50.898)	Prec@5 78.125 (80.662)
Epoch: [64][13460/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 1.8048 (1.8882)	Prec@1 57.812 (50.899)	Prec@5 79.688 (80.663)
Epoch: [64][13470/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.0514 (1.8882)	Prec@1 47.656 (50.899)	Prec@5 78.906 (80.664)
Epoch: [64][13480/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 1.7987 (1.8882)	Prec@1 53.125 (50.898)	Prec@5 85.156 (80.664)
Epoch: [64][13490/14090]	Time 0.872 (0.765)	Data 0.001 (0.001)	Loss 1.8731 (1.8882)	Prec@1 48.438 (50.898)	Prec@5 82.031 (80.664)
Epoch: [64][13500/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 1.7889 (1.8882)	Prec@1 53.906 (50.899)	Prec@5 82.812 (80.663)
Epoch: [64][13510/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 1.9829 (1.8882)	Prec@1 46.875 (50.900)	Prec@5 78.125 (80.663)
Epoch: [64][13520/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 2.1113 (1.8882)	Prec@1 44.531 (50.899)	Prec@5 77.344 (80.663)
Epoch: [64][13530/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 1.6647 (1.8882)	Prec@1 56.250 (50.900)	Prec@5 84.375 (80.663)
Epoch: [64][13540/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 1.6543 (1.8882)	Prec@1 56.250 (50.899)	Prec@5 82.812 (80.663)
Epoch: [64][13550/14090]	Time 0.765 (0.765)	Data 0.003 (0.001)	Loss 1.8834 (1.8882)	Prec@1 53.125 (50.900)	Prec@5 80.469 (80.664)
Epoch: [64][13560/14090]	Time 0.851 (0.765)	Data 0.001 (0.001)	Loss 1.8381 (1.8882)	Prec@1 53.906 (50.900)	Prec@5 82.031 (80.664)
Epoch: [64][13570/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 1.8944 (1.8882)	Prec@1 49.219 (50.898)	Prec@5 81.250 (80.664)
Epoch: [64][13580/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.0196 (1.8882)	Prec@1 48.438 (50.897)	Prec@5 80.469 (80.664)
Epoch: [64][13590/14090]	Time 0.773 (0.765)	Data 0.001 (0.001)	Loss 2.0979 (1.8882)	Prec@1 48.438 (50.897)	Prec@5 75.781 (80.663)
Epoch: [64][13600/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 2.0211 (1.8882)	Prec@1 46.094 (50.897)	Prec@5 80.469 (80.664)
Epoch: [64][13610/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 1.7271 (1.8881)	Prec@1 50.000 (50.898)	Prec@5 83.594 (80.665)
Epoch: [64][13620/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 1.8107 (1.8881)	Prec@1 48.438 (50.898)	Prec@5 84.375 (80.666)
Epoch: [64][13630/14090]	Time 0.863 (0.765)	Data 0.001 (0.001)	Loss 1.8742 (1.8881)	Prec@1 51.562 (50.900)	Prec@5 78.125 (80.666)
Epoch: [64][13640/14090]	Time 0.737 (0.765)	Data 0.003 (0.001)	Loss 2.0476 (1.8881)	Prec@1 49.219 (50.901)	Prec@5 73.438 (80.666)
Epoch: [64][13650/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 1.8808 (1.8880)	Prec@1 48.438 (50.900)	Prec@5 80.469 (80.666)
Epoch: [64][13660/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 1.8965 (1.8880)	Prec@1 55.469 (50.902)	Prec@5 75.781 (80.667)
Epoch: [64][13670/14090]	Time 0.770 (0.765)	Data 0.001 (0.001)	Loss 1.8526 (1.8879)	Prec@1 50.000 (50.902)	Prec@5 84.375 (80.668)
Epoch: [64][13680/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 1.9601 (1.8879)	Prec@1 43.750 (50.901)	Prec@5 85.156 (80.668)
Epoch: [64][13690/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 1.8329 (1.8879)	Prec@1 53.125 (50.901)	Prec@5 82.812 (80.667)
Epoch: [64][13700/14090]	Time 0.867 (0.765)	Data 0.001 (0.001)	Loss 2.2517 (1.8880)	Prec@1 43.750 (50.899)	Prec@5 72.656 (80.666)
Epoch: [64][13710/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 1.7583 (1.8880)	Prec@1 49.219 (50.899)	Prec@5 83.594 (80.667)
Epoch: [64][13720/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.0761 (1.8880)	Prec@1 43.750 (50.898)	Prec@5 72.656 (80.666)
Epoch: [64][13730/14090]	Time 0.720 (0.765)	Data 0.001 (0.001)	Loss 1.7572 (1.8880)	Prec@1 60.156 (50.897)	Prec@5 82.812 (80.666)
Epoch: [64][13740/14090]	Time 0.770 (0.765)	Data 0.001 (0.001)	Loss 1.9889 (1.8880)	Prec@1 50.000 (50.896)	Prec@5 79.688 (80.666)
Epoch: [64][13750/14090]	Time 0.769 (0.765)	Data 0.001 (0.001)	Loss 2.0742 (1.8880)	Prec@1 53.906 (50.897)	Prec@5 77.344 (80.666)
Epoch: [64][13760/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 1.8465 (1.8880)	Prec@1 47.656 (50.897)	Prec@5 78.906 (80.667)
Epoch: [64][13770/14090]	Time 0.890 (0.765)	Data 0.001 (0.001)	Loss 1.8593 (1.8879)	Prec@1 49.219 (50.898)	Prec@5 78.906 (80.668)
Epoch: [64][13780/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 1.7355 (1.8879)	Prec@1 58.594 (50.898)	Prec@5 80.469 (80.667)
Epoch: [64][13790/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 1.7297 (1.8879)	Prec@1 51.562 (50.898)	Prec@5 86.719 (80.668)
Epoch: [64][13800/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 1.8738 (1.8880)	Prec@1 46.094 (50.897)	Prec@5 82.812 (80.667)
Epoch: [64][13810/14090]	Time 0.778 (0.765)	Data 0.001 (0.001)	Loss 1.5283 (1.8879)	Prec@1 64.844 (50.899)	Prec@5 87.500 (80.667)
Epoch: [64][13820/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 1.7534 (1.8880)	Prec@1 48.438 (50.899)	Prec@5 83.594 (80.668)
Epoch: [64][13830/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 2.0120 (1.8879)	Prec@1 50.000 (50.898)	Prec@5 78.125 (80.668)
Epoch: [64][13840/14090]	Time 0.841 (0.765)	Data 0.001 (0.001)	Loss 2.1517 (1.8879)	Prec@1 43.750 (50.898)	Prec@5 76.562 (80.669)
Epoch: [64][13850/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 1.9938 (1.8879)	Prec@1 50.000 (50.900)	Prec@5 77.344 (80.670)
Epoch: [64][13860/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.2579 (1.8879)	Prec@1 46.094 (50.899)	Prec@5 72.656 (80.669)
Epoch: [64][13870/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 1.8151 (1.8879)	Prec@1 53.125 (50.900)	Prec@5 78.125 (80.670)
Epoch: [64][13880/14090]	Time 0.767 (0.765)	Data 0.001 (0.001)	Loss 1.9166 (1.8879)	Prec@1 48.438 (50.900)	Prec@5 80.469 (80.671)
Epoch: [64][13890/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 1.7676 (1.8878)	Prec@1 51.562 (50.902)	Prec@5 81.250 (80.670)
Epoch: [64][13900/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 1.7719 (1.8878)	Prec@1 54.688 (50.902)	Prec@5 84.375 (80.669)
Epoch: [64][13910/14090]	Time 0.860 (0.765)	Data 0.001 (0.001)	Loss 2.0141 (1.8878)	Prec@1 42.188 (50.902)	Prec@5 80.469 (80.668)
Epoch: [64][13920/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 1.9396 (1.8878)	Prec@1 54.688 (50.902)	Prec@5 80.469 (80.669)
Epoch: [64][13930/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 1.9190 (1.8878)	Prec@1 52.344 (50.901)	Prec@5 80.469 (80.669)
Epoch: [64][13940/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 1.5533 (1.8879)	Prec@1 60.938 (50.901)	Prec@5 89.062 (80.669)
Epoch: [64][13950/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 2.1288 (1.8878)	Prec@1 45.312 (50.901)	Prec@5 71.875 (80.670)
Epoch: [64][13960/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 1.7898 (1.8879)	Prec@1 51.562 (50.900)	Prec@5 82.031 (80.669)
Epoch: [64][13970/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.4152 (1.8879)	Prec@1 43.750 (50.899)	Prec@5 67.188 (80.668)
Epoch: [64][13980/14090]	Time 0.912 (0.765)	Data 0.001 (0.001)	Loss 2.0504 (1.8879)	Prec@1 50.000 (50.899)	Prec@5 77.344 (80.668)
Epoch: [64][13990/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 1.8345 (1.8879)	Prec@1 52.344 (50.899)	Prec@5 82.031 (80.668)
Epoch: [64][14000/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.0877 (1.8879)	Prec@1 44.531 (50.900)	Prec@5 76.562 (80.668)
Epoch: [64][14010/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.0305 (1.8879)	Prec@1 53.906 (50.900)	Prec@5 79.688 (80.668)
Epoch: [64][14020/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 1.9101 (1.8878)	Prec@1 53.125 (50.901)	Prec@5 80.469 (80.670)
Epoch: [64][14030/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 1.7542 (1.8878)	Prec@1 47.656 (50.900)	Prec@5 85.156 (80.670)
Epoch: [64][14040/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 1.8556 (1.8878)	Prec@1 52.344 (50.900)	Prec@5 82.812 (80.671)
Epoch: [64][14050/14090]	Time 0.856 (0.765)	Data 0.001 (0.001)	Loss 1.7696 (1.8878)	Prec@1 54.688 (50.900)	Prec@5 85.156 (80.672)
Epoch: [64][14060/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 1.9572 (1.8877)	Prec@1 46.094 (50.900)	Prec@5 77.344 (80.674)
Epoch: [64][14070/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.0325 (1.8877)	Prec@1 49.219 (50.900)	Prec@5 78.906 (80.674)
Epoch: [64][14080/14090]	Time 0.750 (0.765)	Data 0.000 (0.001)	Loss 2.1508 (1.8878)	Prec@1 45.312 (50.900)	Prec@5 77.344 (80.673)
Test: [0/286]	Time 5.313 (5.313)	Loss 1.3195 (1.3195)	Prec@1 59.375 (59.375)	Prec@5 96.094 (96.094)
Test: [10/286]	Time 0.232 (0.893)	Loss 1.5745 (1.7499)	Prec@1 57.031 (54.474)	Prec@5 89.062 (85.298)
Test: [20/286]	Time 0.237 (0.671)	Loss 1.3578 (1.7029)	Prec@1 60.938 (54.836)	Prec@5 92.188 (85.565)
Test: [30/286]	Time 0.249 (0.606)	Loss 1.9463 (1.6445)	Prec@1 50.000 (56.628)	Prec@5 80.469 (85.736)
Test: [40/286]	Time 2.083 (0.606)	Loss 1.5801 (1.6509)	Prec@1 51.562 (56.460)	Prec@5 89.062 (85.766)
Test: [50/286]	Time 0.306 (0.580)	Loss 0.4873 (1.6393)	Prec@1 92.969 (56.526)	Prec@5 95.312 (86.091)
Test: [60/286]	Time 0.307 (0.561)	Loss 2.7261 (1.6756)	Prec@1 34.375 (55.712)	Prec@5 66.406 (85.054)
Test: [70/286]	Time 0.229 (0.545)	Loss 1.0428 (1.6566)	Prec@1 77.344 (56.008)	Prec@5 93.750 (85.387)
Test: [80/286]	Time 2.274 (0.558)	Loss 1.8824 (1.6864)	Prec@1 46.094 (54.890)	Prec@5 82.812 (85.089)
Test: [90/286]	Time 0.236 (0.547)	Loss 1.8360 (1.6955)	Prec@1 50.781 (54.765)	Prec@5 85.938 (85.002)
Test: [100/286]	Time 0.232 (0.537)	Loss 2.3829 (1.7075)	Prec@1 28.125 (54.231)	Prec@5 78.906 (84.986)
Test: [110/286]	Time 0.290 (0.529)	Loss 2.2506 (1.7275)	Prec@1 43.750 (53.716)	Prec@5 75.000 (84.861)
Test: [120/286]	Time 2.137 (0.537)	Loss 1.6366 (1.7146)	Prec@1 63.281 (54.268)	Prec@5 80.469 (84.963)
Test: [130/286]	Time 0.278 (0.531)	Loss 0.9929 (1.7093)	Prec@1 70.312 (54.485)	Prec@5 93.750 (84.965)
Test: [140/286]	Time 0.261 (0.526)	Loss 2.2963 (1.7033)	Prec@1 49.219 (54.627)	Prec@5 71.875 (84.968)
Test: [150/286]	Time 0.256 (0.520)	Loss 2.6584 (1.7172)	Prec@1 28.125 (54.129)	Prec@5 76.562 (84.908)
Test: [160/286]	Time 1.956 (0.527)	Loss 2.5346 (1.7148)	Prec@1 27.344 (54.212)	Prec@5 72.656 (84.899)
Test: [170/286]	Time 0.233 (0.525)	Loss 1.8676 (1.7071)	Prec@1 51.562 (54.354)	Prec@5 83.594 (85.028)
Test: [180/286]	Time 0.234 (0.521)	Loss 1.8361 (1.7194)	Prec@1 57.812 (54.049)	Prec@5 78.125 (84.837)
Test: [190/286]	Time 0.233 (0.518)	Loss 2.8478 (1.7375)	Prec@1 15.625 (53.608)	Prec@5 75.781 (84.657)
Test: [200/286]	Time 1.830 (0.522)	Loss 1.8988 (1.7330)	Prec@1 58.594 (53.759)	Prec@5 83.594 (84.647)
Test: [210/286]	Time 0.351 (0.520)	Loss 1.9321 (1.7389)	Prec@1 48.438 (53.562)	Prec@5 82.812 (84.568)
Test: [220/286]	Time 0.338 (0.518)	Loss 2.6491 (1.7423)	Prec@1 24.219 (53.567)	Prec@5 71.875 (84.442)
Test: [230/286]	Time 0.246 (0.515)	Loss 1.2303 (1.7410)	Prec@1 65.625 (53.626)	Prec@5 89.844 (84.419)
Test: [240/286]	Time 1.948 (0.519)	Loss 1.8097 (1.7389)	Prec@1 53.906 (53.744)	Prec@5 85.938 (84.450)
Test: [250/286]	Time 0.362 (0.517)	Loss 1.6960 (1.7308)	Prec@1 53.906 (53.872)	Prec@5 82.812 (84.602)
Test: [260/286]	Time 0.423 (0.515)	Loss 1.7506 (1.7204)	Prec@1 52.344 (54.170)	Prec@5 85.156 (84.770)
Test: [270/286]	Time 0.227 (0.513)	Loss 1.1521 (1.7198)	Prec@1 69.531 (54.186)	Prec@5 92.188 (84.833)
Test: [280/286]	Time 1.612 (0.515)	Loss 1.6909 (1.7045)	Prec@1 60.938 (54.718)	Prec@5 91.406 (84.978)
 * Prec@1 54.806 Prec@5 84.974
Epoch: [65][0/14090]	Time 6.734 (6.734)	Data 5.983 (5.983)	Loss 1.6951 (1.6951)	Prec@1 52.344 (52.344)	Prec@5 83.594 (83.594)
Epoch: [65][10/14090]	Time 0.727 (1.287)	Data 0.001 (0.545)	Loss 1.9708 (1.8162)	Prec@1 47.656 (53.267)	Prec@5 77.344 (81.392)
Epoch: [65][20/14090]	Time 0.875 (1.034)	Data 0.001 (0.286)	Loss 1.9905 (1.8867)	Prec@1 49.219 (51.042)	Prec@5 78.125 (80.394)
Epoch: [65][30/14090]	Time 0.745 (0.943)	Data 0.001 (0.194)	Loss 1.7205 (1.8753)	Prec@1 58.594 (51.134)	Prec@5 80.469 (80.645)
Epoch: [65][40/14090]	Time 0.757 (0.898)	Data 0.001 (0.147)	Loss 2.0091 (1.8771)	Prec@1 50.000 (51.200)	Prec@5 78.125 (80.221)
Epoch: [65][50/14090]	Time 0.756 (0.873)	Data 0.001 (0.118)	Loss 1.7747 (1.8860)	Prec@1 56.250 (51.287)	Prec@5 78.906 (79.994)
Epoch: [65][60/14090]	Time 0.751 (0.854)	Data 0.001 (0.099)	Loss 1.8351 (1.8760)	Prec@1 52.344 (51.281)	Prec@5 82.812 (80.507)
Epoch: [65][70/14090]	Time 0.728 (0.841)	Data 0.001 (0.085)	Loss 1.7577 (1.8727)	Prec@1 53.906 (51.452)	Prec@5 83.594 (80.590)
Epoch: [65][80/14090]	Time 0.757 (0.831)	Data 0.001 (0.075)	Loss 1.8492 (1.8722)	Prec@1 46.875 (51.235)	Prec@5 82.812 (80.536)
Epoch: [65][90/14090]	Time 0.935 (0.824)	Data 0.001 (0.067)	Loss 1.9400 (1.8653)	Prec@1 49.219 (51.382)	Prec@5 78.125 (80.735)
Epoch: [65][100/14090]	Time 0.773 (0.818)	Data 0.001 (0.060)	Loss 1.9676 (1.8725)	Prec@1 50.000 (51.307)	Prec@5 78.906 (80.554)
Epoch: [65][110/14090]	Time 0.724 (0.812)	Data 0.001 (0.055)	Loss 1.8814 (1.8719)	Prec@1 53.906 (51.415)	Prec@5 79.688 (80.602)
Epoch: [65][120/14090]	Time 0.758 (0.809)	Data 0.001 (0.050)	Loss 1.7065 (1.8833)	Prec@1 56.250 (51.162)	Prec@5 82.812 (80.482)
Epoch: [65][130/14090]	Time 0.751 (0.805)	Data 0.001 (0.047)	Loss 1.9547 (1.8787)	Prec@1 50.781 (51.240)	Prec@5 77.344 (80.624)
Epoch: [65][140/14090]	Time 0.728 (0.803)	Data 0.001 (0.043)	Loss 1.7575 (1.8763)	Prec@1 54.688 (51.369)	Prec@5 83.594 (80.657)
Epoch: [65][150/14090]	Time 0.736 (0.800)	Data 0.001 (0.040)	Loss 1.9994 (1.8765)	Prec@1 50.000 (51.293)	Prec@5 78.906 (80.753)
Epoch: [65][160/14090]	Time 0.837 (0.798)	Data 0.001 (0.038)	Loss 1.9074 (1.8775)	Prec@1 50.781 (51.271)	Prec@5 82.031 (80.750)
Epoch: [65][170/14090]	Time 0.753 (0.796)	Data 0.001 (0.036)	Loss 1.6876 (1.8786)	Prec@1 53.906 (51.325)	Prec@5 82.031 (80.720)
Epoch: [65][180/14090]	Time 0.786 (0.794)	Data 0.001 (0.034)	Loss 1.8359 (1.8781)	Prec@1 53.906 (51.377)	Prec@5 79.688 (80.702)
Epoch: [65][190/14090]	Time 0.736 (0.793)	Data 0.001 (0.032)	Loss 1.7814 (1.8759)	Prec@1 49.219 (51.419)	Prec@5 80.469 (80.755)
Epoch: [65][200/14090]	Time 0.743 (0.791)	Data 0.001 (0.031)	Loss 1.6776 (1.8754)	Prec@1 53.125 (51.458)	Prec@5 85.938 (80.729)
Epoch: [65][210/14090]	Time 0.754 (0.790)	Data 0.001 (0.029)	Loss 2.0315 (1.8724)	Prec@1 49.219 (51.477)	Prec@5 81.250 (80.832)
Epoch: [65][220/14090]	Time 0.741 (0.789)	Data 0.002 (0.028)	Loss 1.8352 (1.8739)	Prec@1 51.562 (51.485)	Prec@5 79.688 (80.769)
Epoch: [65][230/14090]	Time 0.852 (0.788)	Data 0.001 (0.027)	Loss 1.7537 (1.8758)	Prec@1 51.562 (51.404)	Prec@5 81.250 (80.780)
Epoch: [65][240/14090]	Time 0.755 (0.787)	Data 0.001 (0.026)	Loss 1.9718 (1.8799)	Prec@1 50.781 (51.280)	Prec@5 76.562 (80.764)
Epoch: [65][250/14090]	Time 0.759 (0.786)	Data 0.001 (0.025)	Loss 1.8573 (1.8811)	Prec@1 50.000 (51.276)	Prec@5 82.031 (80.752)
Epoch: [65][260/14090]	Time 0.751 (0.786)	Data 0.001 (0.024)	Loss 1.8828 (1.8826)	Prec@1 54.688 (51.308)	Prec@5 80.469 (80.690)
Epoch: [65][270/14090]	Time 0.752 (0.785)	Data 0.001 (0.023)	Loss 1.7297 (1.8787)	Prec@1 50.000 (51.355)	Prec@5 80.469 (80.737)
Epoch: [65][280/14090]	Time 0.760 (0.785)	Data 0.001 (0.022)	Loss 2.1467 (1.8813)	Prec@1 45.312 (51.315)	Prec@5 78.125 (80.719)
Epoch: [65][290/14090]	Time 0.740 (0.784)	Data 0.001 (0.021)	Loss 1.8230 (1.8811)	Prec@1 51.562 (51.326)	Prec@5 78.906 (80.721)
Epoch: [65][300/14090]	Time 0.919 (0.784)	Data 0.001 (0.021)	Loss 1.8991 (1.8821)	Prec@1 50.000 (51.295)	Prec@5 78.906 (80.687)
Epoch: [65][310/14090]	Time 0.742 (0.784)	Data 0.001 (0.020)	Loss 1.8854 (1.8827)	Prec@1 51.562 (51.223)	Prec@5 82.031 (80.690)
Epoch: [65][320/14090]	Time 0.728 (0.783)	Data 0.001 (0.019)	Loss 2.0636 (1.8819)	Prec@1 48.438 (51.258)	Prec@5 79.688 (80.736)
Epoch: [65][330/14090]	Time 0.743 (0.783)	Data 0.002 (0.019)	Loss 2.1024 (1.8824)	Prec@1 42.188 (51.251)	Prec@5 76.562 (80.712)
Epoch: [65][340/14090]	Time 0.733 (0.782)	Data 0.001 (0.018)	Loss 1.7977 (1.8832)	Prec@1 52.344 (51.228)	Prec@5 81.250 (80.696)
Epoch: [65][350/14090]	Time 0.751 (0.782)	Data 0.001 (0.018)	Loss 1.8510 (1.8826)	Prec@1 51.562 (51.206)	Prec@5 78.906 (80.716)
Epoch: [65][360/14090]	Time 0.730 (0.781)	Data 0.001 (0.017)	Loss 1.8660 (1.8847)	Prec@1 57.031 (51.169)	Prec@5 82.812 (80.696)
Epoch: [65][370/14090]	Time 0.868 (0.781)	Data 0.001 (0.017)	Loss 1.8059 (1.8829)	Prec@1 53.125 (51.143)	Prec@5 79.688 (80.705)
Epoch: [65][380/14090]	Time 0.727 (0.781)	Data 0.001 (0.017)	Loss 1.8630 (1.8824)	Prec@1 53.906 (51.134)	Prec@5 78.906 (80.698)
Epoch: [65][390/14090]	Time 0.735 (0.780)	Data 0.001 (0.016)	Loss 1.7592 (1.8805)	Prec@1 56.250 (51.191)	Prec@5 83.594 (80.748)
Epoch: [65][400/14090]	Time 0.738 (0.779)	Data 0.001 (0.016)	Loss 2.0397 (1.8805)	Prec@1 47.656 (51.153)	Prec@5 79.688 (80.751)
Epoch: [65][410/14090]	Time 0.735 (0.779)	Data 0.001 (0.015)	Loss 1.7907 (1.8792)	Prec@1 50.781 (51.196)	Prec@5 82.812 (80.773)
Epoch: [65][420/14090]	Time 0.741 (0.779)	Data 0.001 (0.015)	Loss 1.7787 (1.8811)	Prec@1 54.688 (51.149)	Prec@5 82.031 (80.743)
Epoch: [65][430/14090]	Time 0.749 (0.779)	Data 0.001 (0.015)	Loss 1.8954 (1.8801)	Prec@1 53.906 (51.200)	Prec@5 81.250 (80.761)
Epoch: [65][440/14090]	Time 0.850 (0.778)	Data 0.001 (0.014)	Loss 1.7343 (1.8804)	Prec@1 53.906 (51.162)	Prec@5 82.812 (80.754)
Epoch: [65][450/14090]	Time 0.723 (0.778)	Data 0.001 (0.014)	Loss 1.8697 (1.8799)	Prec@1 53.906 (51.164)	Prec@5 79.688 (80.767)
Epoch: [65][460/14090]	Time 0.742 (0.777)	Data 0.001 (0.014)	Loss 1.7503 (1.8803)	Prec@1 52.344 (51.164)	Prec@5 85.156 (80.770)
Epoch: [65][470/14090]	Time 0.752 (0.778)	Data 0.001 (0.014)	Loss 1.5563 (1.8799)	Prec@1 54.688 (51.173)	Prec@5 88.281 (80.792)
Epoch: [65][480/14090]	Time 0.753 (0.777)	Data 0.001 (0.013)	Loss 1.9849 (1.8791)	Prec@1 50.000 (51.199)	Prec@5 82.812 (80.803)
Epoch: [65][490/14090]	Time 0.767 (0.777)	Data 0.001 (0.013)	Loss 1.6772 (1.8787)	Prec@1 55.469 (51.238)	Prec@5 83.594 (80.833)
Epoch: [65][500/14090]	Time 0.742 (0.777)	Data 0.001 (0.013)	Loss 2.0646 (1.8787)	Prec@1 44.531 (51.240)	Prec@5 73.438 (80.810)
Epoch: [65][510/14090]	Time 0.871 (0.777)	Data 0.001 (0.013)	Loss 2.0288 (1.8780)	Prec@1 46.094 (51.270)	Prec@5 75.781 (80.822)
Epoch: [65][520/14090]	Time 0.780 (0.777)	Data 0.001 (0.012)	Loss 2.0394 (1.8783)	Prec@1 47.656 (51.233)	Prec@5 78.906 (80.830)
Epoch: [65][530/14090]	Time 0.726 (0.776)	Data 0.001 (0.012)	Loss 2.1213 (1.8784)	Prec@1 47.656 (51.224)	Prec@5 75.781 (80.845)
Epoch: [65][540/14090]	Time 0.754 (0.776)	Data 0.001 (0.012)	Loss 1.8879 (1.8777)	Prec@1 50.781 (51.196)	Prec@5 78.906 (80.867)
Epoch: [65][550/14090]	Time 0.781 (0.776)	Data 0.001 (0.012)	Loss 1.7255 (1.8770)	Prec@1 55.469 (51.219)	Prec@5 83.594 (80.901)
Epoch: [65][560/14090]	Time 0.740 (0.776)	Data 0.001 (0.012)	Loss 1.9299 (1.8778)	Prec@1 50.000 (51.206)	Prec@5 78.906 (80.891)
Epoch: [65][570/14090]	Time 0.752 (0.776)	Data 0.001 (0.011)	Loss 1.4977 (1.8765)	Prec@1 57.031 (51.229)	Prec@5 89.844 (80.902)
Epoch: [65][580/14090]	Time 0.868 (0.776)	Data 0.001 (0.011)	Loss 2.0569 (1.8773)	Prec@1 40.625 (51.199)	Prec@5 80.469 (80.894)
Epoch: [65][590/14090]	Time 0.770 (0.775)	Data 0.001 (0.011)	Loss 1.8226 (1.8767)	Prec@1 48.438 (51.204)	Prec@5 83.594 (80.902)
Epoch: [65][600/14090]	Time 0.753 (0.775)	Data 0.001 (0.011)	Loss 1.8582 (1.8775)	Prec@1 54.688 (51.182)	Prec@5 80.469 (80.873)
Epoch: [65][610/14090]	Time 0.756 (0.775)	Data 0.001 (0.011)	Loss 1.8847 (1.8770)	Prec@1 50.781 (51.180)	Prec@5 77.344 (80.875)
Epoch: [65][620/14090]	Time 0.769 (0.775)	Data 0.001 (0.011)	Loss 1.8618 (1.8765)	Prec@1 54.688 (51.206)	Prec@5 76.562 (80.893)
Epoch: [65][630/14090]	Time 0.731 (0.775)	Data 0.001 (0.010)	Loss 1.9672 (1.8772)	Prec@1 51.562 (51.184)	Prec@5 80.469 (80.886)
Epoch: [65][640/14090]	Time 0.729 (0.774)	Data 0.001 (0.010)	Loss 1.6734 (1.8761)	Prec@1 55.469 (51.205)	Prec@5 85.156 (80.901)
Epoch: [65][650/14090]	Time 0.879 (0.774)	Data 0.001 (0.010)	Loss 2.1135 (1.8769)	Prec@1 45.312 (51.169)	Prec@5 73.438 (80.902)
Epoch: [65][660/14090]	Time 0.737 (0.774)	Data 0.001 (0.010)	Loss 2.2031 (1.8784)	Prec@1 44.531 (51.139)	Prec@5 75.000 (80.888)
Epoch: [65][670/14090]	Time 0.741 (0.774)	Data 0.001 (0.010)	Loss 1.9800 (1.8778)	Prec@1 48.438 (51.172)	Prec@5 78.125 (80.891)
Epoch: [65][680/14090]	Time 0.742 (0.774)	Data 0.001 (0.010)	Loss 2.0026 (1.8780)	Prec@1 47.656 (51.145)	Prec@5 79.688 (80.901)
Epoch: [65][690/14090]	Time 0.733 (0.774)	Data 0.001 (0.010)	Loss 1.7598 (1.8772)	Prec@1 57.812 (51.161)	Prec@5 81.250 (80.912)
Epoch: [65][700/14090]	Time 0.736 (0.774)	Data 0.001 (0.009)	Loss 1.6502 (1.8762)	Prec@1 57.812 (51.179)	Prec@5 85.938 (80.947)
Epoch: [65][710/14090]	Time 0.774 (0.774)	Data 0.001 (0.009)	Loss 1.9278 (1.8768)	Prec@1 49.219 (51.170)	Prec@5 82.031 (80.917)
Epoch: [65][720/14090]	Time 0.900 (0.774)	Data 0.001 (0.009)	Loss 1.5221 (1.8769)	Prec@1 60.938 (51.159)	Prec@5 85.156 (80.914)
Epoch: [65][730/14090]	Time 0.723 (0.774)	Data 0.002 (0.009)	Loss 1.7916 (1.8766)	Prec@1 54.688 (51.164)	Prec@5 79.688 (80.898)
Epoch: [65][740/14090]	Time 0.740 (0.774)	Data 0.001 (0.009)	Loss 1.9336 (1.8759)	Prec@1 46.094 (51.184)	Prec@5 82.031 (80.903)
Epoch: [65][750/14090]	Time 0.742 (0.774)	Data 0.001 (0.009)	Loss 1.8641 (1.8760)	Prec@1 52.344 (51.151)	Prec@5 82.031 (80.911)
Epoch: [65][760/14090]	Time 0.763 (0.774)	Data 0.001 (0.009)	Loss 1.8504 (1.8760)	Prec@1 50.781 (51.150)	Prec@5 80.469 (80.912)
Epoch: [65][770/14090]	Time 0.743 (0.774)	Data 0.001 (0.009)	Loss 2.0347 (1.8761)	Prec@1 47.656 (51.143)	Prec@5 74.219 (80.901)
Epoch: [65][780/14090]	Time 0.729 (0.773)	Data 0.001 (0.009)	Loss 2.0073 (1.8768)	Prec@1 45.312 (51.121)	Prec@5 78.906 (80.874)
Epoch: [65][790/14090]	Time 0.883 (0.773)	Data 0.001 (0.008)	Loss 2.0212 (1.8772)	Prec@1 49.219 (51.115)	Prec@5 75.000 (80.872)
Epoch: [65][800/14090]	Time 0.734 (0.773)	Data 0.001 (0.008)	Loss 2.0249 (1.8768)	Prec@1 43.750 (51.100)	Prec@5 78.906 (80.886)
Epoch: [65][810/14090]	Time 0.733 (0.773)	Data 0.001 (0.008)	Loss 1.7574 (1.8760)	Prec@1 53.906 (51.125)	Prec@5 79.688 (80.903)
Epoch: [65][820/14090]	Time 0.757 (0.773)	Data 0.001 (0.008)	Loss 1.3255 (1.8751)	Prec@1 64.062 (51.141)	Prec@5 87.500 (80.906)
Epoch: [65][830/14090]	Time 0.735 (0.773)	Data 0.001 (0.008)	Loss 1.8846 (1.8763)	Prec@1 50.781 (51.120)	Prec@5 79.688 (80.877)
Epoch: [65][840/14090]	Time 0.760 (0.773)	Data 0.001 (0.008)	Loss 1.6776 (1.8753)	Prec@1 52.344 (51.148)	Prec@5 82.812 (80.872)
Epoch: [65][850/14090]	Time 0.730 (0.773)	Data 0.001 (0.008)	Loss 1.8350 (1.8765)	Prec@1 48.438 (51.116)	Prec@5 79.688 (80.840)
Epoch: [65][860/14090]	Time 0.914 (0.773)	Data 0.001 (0.008)	Loss 1.5552 (1.8758)	Prec@1 56.250 (51.139)	Prec@5 86.719 (80.850)
Epoch: [65][870/14090]	Time 0.740 (0.773)	Data 0.001 (0.008)	Loss 1.9106 (1.8747)	Prec@1 48.438 (51.165)	Prec@5 79.688 (80.864)
Epoch: [65][880/14090]	Time 0.761 (0.773)	Data 0.001 (0.008)	Loss 1.9405 (1.8754)	Prec@1 49.219 (51.146)	Prec@5 79.688 (80.854)
Epoch: [65][890/14090]	Time 0.746 (0.773)	Data 0.001 (0.008)	Loss 1.6621 (1.8751)	Prec@1 55.469 (51.144)	Prec@5 81.250 (80.855)
Epoch: [65][900/14090]	Time 0.749 (0.773)	Data 0.001 (0.008)	Loss 1.8715 (1.8757)	Prec@1 52.344 (51.139)	Prec@5 81.250 (80.845)
Epoch: [65][910/14090]	Time 0.757 (0.773)	Data 0.001 (0.007)	Loss 1.6594 (1.8756)	Prec@1 60.156 (51.134)	Prec@5 79.688 (80.832)
Epoch: [65][920/14090]	Time 0.761 (0.772)	Data 0.001 (0.007)	Loss 1.9397 (1.8759)	Prec@1 46.875 (51.135)	Prec@5 80.469 (80.824)
Epoch: [65][930/14090]	Time 0.913 (0.773)	Data 0.001 (0.007)	Loss 1.8103 (1.8754)	Prec@1 52.344 (51.156)	Prec@5 78.906 (80.841)
Epoch: [65][940/14090]	Time 0.739 (0.772)	Data 0.001 (0.007)	Loss 1.6312 (1.8737)	Prec@1 55.469 (51.186)	Prec@5 85.156 (80.872)
Epoch: [65][950/14090]	Time 0.728 (0.772)	Data 0.001 (0.007)	Loss 1.7699 (1.8749)	Prec@1 53.906 (51.162)	Prec@5 82.031 (80.860)
Epoch: [65][960/14090]	Time 0.758 (0.772)	Data 0.001 (0.007)	Loss 1.7485 (1.8754)	Prec@1 53.125 (51.134)	Prec@5 80.469 (80.854)
Epoch: [65][970/14090]	Time 0.758 (0.772)	Data 0.001 (0.007)	Loss 1.7343 (1.8750)	Prec@1 53.125 (51.158)	Prec@5 82.031 (80.850)
Epoch: [65][980/14090]	Time 0.766 (0.772)	Data 0.001 (0.007)	Loss 1.7999 (1.8743)	Prec@1 50.000 (51.151)	Prec@5 82.031 (80.866)
Epoch: [65][990/14090]	Time 0.759 (0.772)	Data 0.001 (0.007)	Loss 1.5962 (1.8735)	Prec@1 60.156 (51.167)	Prec@5 83.594 (80.880)
Epoch: [65][1000/14090]	Time 1.030 (0.772)	Data 0.001 (0.007)	Loss 1.8451 (1.8734)	Prec@1 52.344 (51.163)	Prec@5 78.125 (80.878)
Epoch: [65][1010/14090]	Time 0.725 (0.772)	Data 0.001 (0.007)	Loss 1.6648 (1.8737)	Prec@1 52.344 (51.148)	Prec@5 85.156 (80.881)
Epoch: [65][1020/14090]	Time 0.733 (0.772)	Data 0.001 (0.007)	Loss 1.7530 (1.8736)	Prec@1 57.031 (51.155)	Prec@5 78.906 (80.877)
Epoch: [65][1030/14090]	Time 0.729 (0.772)	Data 0.001 (0.007)	Loss 2.1276 (1.8741)	Prec@1 45.312 (51.149)	Prec@5 76.562 (80.867)
Epoch: [65][1040/14090]	Time 0.766 (0.772)	Data 0.001 (0.007)	Loss 1.8096 (1.8734)	Prec@1 53.125 (51.171)	Prec@5 82.812 (80.882)
Epoch: [65][1050/14090]	Time 0.765 (0.772)	Data 0.001 (0.007)	Loss 1.7952 (1.8738)	Prec@1 50.000 (51.164)	Prec@5 87.500 (80.882)
Epoch: [65][1060/14090]	Time 0.767 (0.772)	Data 0.001 (0.006)	Loss 1.6253 (1.8727)	Prec@1 59.375 (51.198)	Prec@5 84.375 (80.900)
Epoch: [65][1070/14090]	Time 0.896 (0.772)	Data 0.001 (0.006)	Loss 1.8011 (1.8727)	Prec@1 51.562 (51.210)	Prec@5 82.031 (80.896)
Epoch: [65][1080/14090]	Time 0.731 (0.772)	Data 0.001 (0.006)	Loss 1.6425 (1.8725)	Prec@1 55.469 (51.192)	Prec@5 85.938 (80.899)
Epoch: [65][1090/14090]	Time 0.758 (0.772)	Data 0.001 (0.006)	Loss 1.9998 (1.8726)	Prec@1 46.094 (51.189)	Prec@5 75.781 (80.889)
Epoch: [65][1100/14090]	Time 0.734 (0.772)	Data 0.001 (0.006)	Loss 2.0830 (1.8735)	Prec@1 49.219 (51.162)	Prec@5 80.469 (80.870)
Epoch: [65][1110/14090]	Time 0.744 (0.772)	Data 0.001 (0.006)	Loss 1.9830 (1.8736)	Prec@1 50.000 (51.164)	Prec@5 82.812 (80.870)
Epoch: [65][1120/14090]	Time 0.760 (0.772)	Data 0.001 (0.006)	Loss 1.9086 (1.8738)	Prec@1 53.125 (51.166)	Prec@5 78.906 (80.867)
Epoch: [65][1130/14090]	Time 0.738 (0.772)	Data 0.001 (0.006)	Loss 1.8677 (1.8742)	Prec@1 53.906 (51.161)	Prec@5 78.906 (80.857)
Epoch: [65][1140/14090]	Time 0.875 (0.772)	Data 0.001 (0.006)	Loss 1.9083 (1.8737)	Prec@1 49.219 (51.175)	Prec@5 78.906 (80.861)
Epoch: [65][1150/14090]	Time 0.727 (0.772)	Data 0.001 (0.006)	Loss 1.9198 (1.8739)	Prec@1 53.125 (51.173)	Prec@5 78.906 (80.852)
Epoch: [65][1160/14090]	Time 0.760 (0.772)	Data 0.001 (0.006)	Loss 1.9671 (1.8740)	Prec@1 53.125 (51.168)	Prec@5 78.125 (80.852)
Epoch: [65][1170/14090]	Time 0.761 (0.771)	Data 0.001 (0.006)	Loss 1.9464 (1.8746)	Prec@1 50.781 (51.169)	Prec@5 80.469 (80.831)
Epoch: [65][1180/14090]	Time 0.743 (0.771)	Data 0.001 (0.006)	Loss 2.1790 (1.8740)	Prec@1 43.750 (51.183)	Prec@5 75.781 (80.837)
Epoch: [65][1190/14090]	Time 0.752 (0.772)	Data 0.001 (0.006)	Loss 1.7200 (1.8737)	Prec@1 53.125 (51.183)	Prec@5 82.031 (80.844)
Epoch: [65][1200/14090]	Time 0.762 (0.771)	Data 0.001 (0.006)	Loss 2.1784 (1.8748)	Prec@1 47.656 (51.166)	Prec@5 81.250 (80.834)
Epoch: [65][1210/14090]	Time 0.894 (0.771)	Data 0.001 (0.006)	Loss 1.7450 (1.8751)	Prec@1 54.688 (51.154)	Prec@5 82.031 (80.827)
Epoch: [65][1220/14090]	Time 0.761 (0.771)	Data 0.001 (0.006)	Loss 2.0945 (1.8754)	Prec@1 43.750 (51.152)	Prec@5 77.344 (80.815)
Epoch: [65][1230/14090]	Time 0.724 (0.771)	Data 0.001 (0.006)	Loss 1.7077 (1.8758)	Prec@1 53.125 (51.140)	Prec@5 82.031 (80.809)
Epoch: [65][1240/14090]	Time 0.744 (0.771)	Data 0.001 (0.006)	Loss 2.0035 (1.8765)	Prec@1 47.656 (51.129)	Prec@5 76.562 (80.789)
Epoch: [65][1250/14090]	Time 0.740 (0.771)	Data 0.001 (0.006)	Loss 2.0119 (1.8761)	Prec@1 48.438 (51.128)	Prec@5 79.688 (80.802)
Epoch: [65][1260/14090]	Time 0.736 (0.771)	Data 0.001 (0.006)	Loss 1.8352 (1.8764)	Prec@1 53.906 (51.124)	Prec@5 81.250 (80.800)
Epoch: [65][1270/14090]	Time 0.754 (0.771)	Data 0.001 (0.006)	Loss 1.8438 (1.8764)	Prec@1 52.344 (51.126)	Prec@5 83.594 (80.805)
Epoch: [65][1280/14090]	Time 0.837 (0.771)	Data 0.001 (0.006)	Loss 1.6224 (1.8763)	Prec@1 50.781 (51.120)	Prec@5 84.375 (80.810)
Epoch: [65][1290/14090]	Time 0.726 (0.771)	Data 0.001 (0.005)	Loss 2.0376 (1.8774)	Prec@1 49.219 (51.103)	Prec@5 76.562 (80.793)
Epoch: [65][1300/14090]	Time 0.752 (0.771)	Data 0.001 (0.005)	Loss 1.8481 (1.8775)	Prec@1 50.000 (51.107)	Prec@5 81.250 (80.789)
Epoch: [65][1310/14090]	Time 0.768 (0.771)	Data 0.001 (0.005)	Loss 1.7208 (1.8773)	Prec@1 51.562 (51.110)	Prec@5 86.719 (80.785)
Epoch: [65][1320/14090]	Time 0.735 (0.771)	Data 0.001 (0.005)	Loss 1.7012 (1.8782)	Prec@1 55.469 (51.098)	Prec@5 86.719 (80.766)
Epoch: [65][1330/14090]	Time 0.761 (0.771)	Data 0.001 (0.005)	Loss 1.9355 (1.8779)	Prec@1 45.312 (51.095)	Prec@5 79.688 (80.773)
Epoch: [65][1340/14090]	Time 0.758 (0.771)	Data 0.001 (0.005)	Loss 2.0254 (1.8775)	Prec@1 47.656 (51.092)	Prec@5 80.469 (80.776)
Epoch: [65][1350/14090]	Time 1.032 (0.771)	Data 0.001 (0.005)	Loss 1.8263 (1.8775)	Prec@1 51.562 (51.087)	Prec@5 80.469 (80.772)
Epoch: [65][1360/14090]	Time 0.748 (0.771)	Data 0.001 (0.005)	Loss 2.0984 (1.8785)	Prec@1 42.188 (51.071)	Prec@5 78.906 (80.760)
Epoch: [65][1370/14090]	Time 0.743 (0.771)	Data 0.001 (0.005)	Loss 1.8488 (1.8791)	Prec@1 49.219 (51.063)	Prec@5 82.812 (80.753)
Epoch: [65][1380/14090]	Time 0.751 (0.771)	Data 0.001 (0.005)	Loss 1.8971 (1.8791)	Prec@1 50.000 (51.068)	Prec@5 80.469 (80.754)
Epoch: [65][1390/14090]	Time 0.757 (0.771)	Data 0.001 (0.005)	Loss 1.9755 (1.8786)	Prec@1 50.781 (51.089)	Prec@5 82.031 (80.760)
Epoch: [65][1400/14090]	Time 0.767 (0.771)	Data 0.001 (0.005)	Loss 1.8164 (1.8787)	Prec@1 53.125 (51.081)	Prec@5 76.562 (80.748)
Epoch: [65][1410/14090]	Time 0.761 (0.771)	Data 0.001 (0.005)	Loss 1.5685 (1.8782)	Prec@1 62.500 (51.087)	Prec@5 85.938 (80.753)
Epoch: [65][1420/14090]	Time 0.856 (0.771)	Data 0.001 (0.005)	Loss 1.8745 (1.8781)	Prec@1 53.906 (51.091)	Prec@5 80.469 (80.745)
Epoch: [65][1430/14090]	Time 0.744 (0.771)	Data 0.001 (0.005)	Loss 1.9172 (1.8783)	Prec@1 48.438 (51.091)	Prec@5 82.812 (80.741)
Epoch: [65][1440/14090]	Time 0.746 (0.771)	Data 0.001 (0.005)	Loss 2.0174 (1.8783)	Prec@1 45.312 (51.089)	Prec@5 80.469 (80.745)
Epoch: [65][1450/14090]	Time 0.766 (0.771)	Data 0.001 (0.005)	Loss 1.5134 (1.8783)	Prec@1 61.719 (51.094)	Prec@5 87.500 (80.746)
Epoch: [65][1460/14090]	Time 0.746 (0.770)	Data 0.001 (0.005)	Loss 1.8842 (1.8786)	Prec@1 47.656 (51.087)	Prec@5 81.250 (80.751)
Epoch: [65][1470/14090]	Time 0.752 (0.770)	Data 0.001 (0.005)	Loss 1.7534 (1.8791)	Prec@1 55.469 (51.088)	Prec@5 78.906 (80.733)
Epoch: [65][1480/14090]	Time 0.760 (0.770)	Data 0.001 (0.005)	Loss 1.7754 (1.8785)	Prec@1 52.344 (51.098)	Prec@5 83.594 (80.743)
Epoch: [65][1490/14090]	Time 0.848 (0.770)	Data 0.001 (0.005)	Loss 1.7362 (1.8780)	Prec@1 55.469 (51.119)	Prec@5 82.812 (80.754)
Epoch: [65][1500/14090]	Time 0.726 (0.770)	Data 0.002 (0.005)	Loss 2.3121 (1.8788)	Prec@1 41.406 (51.110)	Prec@5 71.875 (80.737)
Epoch: [65][1510/14090]	Time 0.740 (0.770)	Data 0.001 (0.005)	Loss 2.0050 (1.8786)	Prec@1 45.312 (51.105)	Prec@5 80.469 (80.741)
Epoch: [65][1520/14090]	Time 0.764 (0.770)	Data 0.001 (0.005)	Loss 1.8045 (1.8788)	Prec@1 52.344 (51.097)	Prec@5 84.375 (80.742)
Epoch: [65][1530/14090]	Time 0.762 (0.770)	Data 0.001 (0.005)	Loss 1.8036 (1.8787)	Prec@1 49.219 (51.087)	Prec@5 81.250 (80.742)
Epoch: [65][1540/14090]	Time 0.738 (0.770)	Data 0.001 (0.005)	Loss 1.8160 (1.8787)	Prec@1 50.781 (51.087)	Prec@5 79.688 (80.740)
Epoch: [65][1550/14090]	Time 0.760 (0.770)	Data 0.001 (0.005)	Loss 2.0148 (1.8788)	Prec@1 49.219 (51.089)	Prec@5 77.344 (80.747)
Epoch: [65][1560/14090]	Time 0.831 (0.770)	Data 0.001 (0.005)	Loss 2.1746 (1.8782)	Prec@1 46.094 (51.096)	Prec@5 75.781 (80.760)
Epoch: [65][1570/14090]	Time 0.727 (0.770)	Data 0.001 (0.005)	Loss 2.0801 (1.8788)	Prec@1 47.656 (51.084)	Prec@5 77.344 (80.750)
Epoch: [65][1580/14090]	Time 0.734 (0.770)	Data 0.001 (0.005)	Loss 2.1337 (1.8791)	Prec@1 50.781 (51.072)	Prec@5 76.562 (80.750)
Epoch: [65][1590/14090]	Time 0.747 (0.770)	Data 0.001 (0.005)	Loss 1.9312 (1.8788)	Prec@1 49.219 (51.075)	Prec@5 81.250 (80.758)
Epoch: [65][1600/14090]	Time 0.765 (0.770)	Data 0.001 (0.005)	Loss 1.8985 (1.8792)	Prec@1 51.562 (51.072)	Prec@5 85.938 (80.761)
Epoch: [65][1610/14090]	Time 0.731 (0.770)	Data 0.001 (0.005)	Loss 1.9977 (1.8796)	Prec@1 44.531 (51.067)	Prec@5 77.344 (80.753)
Epoch: [65][1620/14090]	Time 0.728 (0.770)	Data 0.001 (0.005)	Loss 1.7171 (1.8792)	Prec@1 60.938 (51.072)	Prec@5 82.812 (80.762)
Epoch: [65][1630/14090]	Time 0.885 (0.770)	Data 0.001 (0.005)	Loss 2.0599 (1.8793)	Prec@1 42.969 (51.066)	Prec@5 82.031 (80.765)
Epoch: [65][1640/14090]	Time 0.731 (0.770)	Data 0.001 (0.005)	Loss 1.8041 (1.8787)	Prec@1 54.688 (51.078)	Prec@5 78.906 (80.776)
Epoch: [65][1650/14090]	Time 0.766 (0.770)	Data 0.001 (0.004)	Loss 1.8740 (1.8787)	Prec@1 45.312 (51.084)	Prec@5 84.375 (80.779)
Epoch: [65][1660/14090]	Time 0.735 (0.770)	Data 0.001 (0.004)	Loss 2.0372 (1.8784)	Prec@1 50.000 (51.086)	Prec@5 71.875 (80.783)
Epoch: [65][1670/14090]	Time 0.719 (0.770)	Data 0.001 (0.004)	Loss 2.1937 (1.8782)	Prec@1 48.438 (51.090)	Prec@5 73.438 (80.784)
Epoch: [65][1680/14090]	Time 0.758 (0.770)	Data 0.001 (0.004)	Loss 1.8576 (1.8784)	Prec@1 51.562 (51.081)	Prec@5 80.469 (80.778)
Epoch: [65][1690/14090]	Time 0.752 (0.770)	Data 0.001 (0.004)	Loss 1.9211 (1.8781)	Prec@1 52.344 (51.085)	Prec@5 77.344 (80.781)
Epoch: [65][1700/14090]	Time 0.891 (0.770)	Data 0.001 (0.004)	Loss 1.6244 (1.8776)	Prec@1 59.375 (51.108)	Prec@5 87.500 (80.789)
Epoch: [65][1710/14090]	Time 0.746 (0.769)	Data 0.001 (0.004)	Loss 1.8459 (1.8777)	Prec@1 53.906 (51.100)	Prec@5 81.250 (80.794)
Epoch: [65][1720/14090]	Time 0.761 (0.769)	Data 0.001 (0.004)	Loss 1.8104 (1.8767)	Prec@1 56.250 (51.133)	Prec@5 85.156 (80.819)
Epoch: [65][1730/14090]	Time 0.736 (0.769)	Data 0.001 (0.004)	Loss 1.5885 (1.8767)	Prec@1 54.688 (51.128)	Prec@5 85.938 (80.820)
Epoch: [65][1740/14090]	Time 0.756 (0.769)	Data 0.001 (0.004)	Loss 1.8559 (1.8765)	Prec@1 42.188 (51.128)	Prec@5 79.688 (80.819)
Epoch: [65][1750/14090]	Time 0.746 (0.769)	Data 0.001 (0.004)	Loss 1.8933 (1.8760)	Prec@1 54.688 (51.138)	Prec@5 82.031 (80.826)
Epoch: [65][1760/14090]	Time 0.762 (0.769)	Data 0.001 (0.004)	Loss 1.7938 (1.8758)	Prec@1 55.469 (51.145)	Prec@5 82.812 (80.823)
Epoch: [65][1770/14090]	Time 0.880 (0.769)	Data 0.001 (0.004)	Loss 2.0883 (1.8760)	Prec@1 44.531 (51.135)	Prec@5 76.562 (80.814)
Epoch: [65][1780/14090]	Time 0.754 (0.769)	Data 0.001 (0.004)	Loss 2.0585 (1.8760)	Prec@1 53.125 (51.134)	Prec@5 82.031 (80.814)
Epoch: [65][1790/14090]	Time 0.741 (0.769)	Data 0.001 (0.004)	Loss 1.7763 (1.8762)	Prec@1 51.562 (51.131)	Prec@5 79.688 (80.811)
Epoch: [65][1800/14090]	Time 0.748 (0.769)	Data 0.001 (0.004)	Loss 1.8560 (1.8760)	Prec@1 57.812 (51.136)	Prec@5 83.594 (80.821)
Epoch: [65][1810/14090]	Time 0.732 (0.769)	Data 0.001 (0.004)	Loss 1.7864 (1.8758)	Prec@1 51.562 (51.147)	Prec@5 86.719 (80.823)
Epoch: [65][1820/14090]	Time 0.743 (0.769)	Data 0.001 (0.004)	Loss 1.5858 (1.8756)	Prec@1 62.500 (51.155)	Prec@5 85.938 (80.824)
Epoch: [65][1830/14090]	Time 0.756 (0.769)	Data 0.001 (0.004)	Loss 2.0777 (1.8755)	Prec@1 42.969 (51.162)	Prec@5 78.125 (80.828)
Epoch: [65][1840/14090]	Time 0.880 (0.769)	Data 0.001 (0.004)	Loss 2.1839 (1.8758)	Prec@1 44.531 (51.152)	Prec@5 75.000 (80.827)
Epoch: [65][1850/14090]	Time 0.725 (0.769)	Data 0.001 (0.004)	Loss 1.5712 (1.8755)	Prec@1 54.688 (51.152)	Prec@5 84.375 (80.839)
Epoch: [65][1860/14090]	Time 0.760 (0.769)	Data 0.001 (0.004)	Loss 1.8928 (1.8755)	Prec@1 51.562 (51.150)	Prec@5 80.469 (80.849)
Epoch: [65][1870/14090]	Time 0.738 (0.769)	Data 0.001 (0.004)	Loss 1.9531 (1.8758)	Prec@1 49.219 (51.142)	Prec@5 79.688 (80.843)
Epoch: [65][1880/14090]	Time 0.747 (0.769)	Data 0.001 (0.004)	Loss 2.3755 (1.8760)	Prec@1 40.625 (51.144)	Prec@5 73.438 (80.846)
Epoch: [65][1890/14090]	Time 0.716 (0.769)	Data 0.001 (0.004)	Loss 1.6787 (1.8757)	Prec@1 55.469 (51.149)	Prec@5 83.594 (80.847)
Epoch: [65][1900/14090]	Time 0.762 (0.769)	Data 0.001 (0.004)	Loss 1.8368 (1.8761)	Prec@1 49.219 (51.137)	Prec@5 81.250 (80.840)
Epoch: [65][1910/14090]	Time 0.862 (0.769)	Data 0.001 (0.004)	Loss 2.1031 (1.8756)	Prec@1 43.750 (51.139)	Prec@5 78.906 (80.845)
Epoch: [65][1920/14090]	Time 0.722 (0.769)	Data 0.001 (0.004)	Loss 1.8294 (1.8750)	Prec@1 54.688 (51.153)	Prec@5 82.812 (80.851)
Epoch: [65][1930/14090]	Time 0.735 (0.769)	Data 0.001 (0.004)	Loss 1.7543 (1.8752)	Prec@1 57.812 (51.153)	Prec@5 83.594 (80.846)
Epoch: [65][1940/14090]	Time 0.733 (0.769)	Data 0.001 (0.004)	Loss 1.9176 (1.8754)	Prec@1 49.219 (51.146)	Prec@5 80.469 (80.839)
Epoch: [65][1950/14090]	Time 0.740 (0.769)	Data 0.001 (0.004)	Loss 1.8002 (1.8754)	Prec@1 52.344 (51.152)	Prec@5 82.812 (80.840)
Epoch: [65][1960/14090]	Time 0.765 (0.769)	Data 0.001 (0.004)	Loss 1.7827 (1.8755)	Prec@1 53.906 (51.149)	Prec@5 81.250 (80.836)
Epoch: [65][1970/14090]	Time 0.781 (0.769)	Data 0.001 (0.004)	Loss 1.7503 (1.8754)	Prec@1 53.906 (51.156)	Prec@5 86.719 (80.839)
Epoch: [65][1980/14090]	Time 0.862 (0.769)	Data 0.001 (0.004)	Loss 2.0452 (1.8752)	Prec@1 51.562 (51.165)	Prec@5 76.562 (80.845)
Epoch: [65][1990/14090]	Time 0.738 (0.769)	Data 0.001 (0.004)	Loss 1.9233 (1.8754)	Prec@1 48.438 (51.163)	Prec@5 83.594 (80.836)
Epoch: [65][2000/14090]	Time 0.753 (0.769)	Data 0.001 (0.004)	Loss 2.0202 (1.8755)	Prec@1 43.750 (51.167)	Prec@5 79.688 (80.834)
Epoch: [65][2010/14090]	Time 0.753 (0.769)	Data 0.001 (0.004)	Loss 1.7815 (1.8753)	Prec@1 53.125 (51.165)	Prec@5 83.594 (80.840)
Epoch: [65][2020/14090]	Time 0.731 (0.769)	Data 0.001 (0.004)	Loss 1.9574 (1.8753)	Prec@1 50.781 (51.162)	Prec@5 76.562 (80.840)
Epoch: [65][2030/14090]	Time 0.751 (0.769)	Data 0.001 (0.004)	Loss 1.8370 (1.8756)	Prec@1 48.438 (51.151)	Prec@5 80.469 (80.840)
Epoch: [65][2040/14090]	Time 0.762 (0.769)	Data 0.001 (0.004)	Loss 1.7217 (1.8756)	Prec@1 57.031 (51.141)	Prec@5 82.812 (80.842)
Epoch: [65][2050/14090]	Time 0.967 (0.769)	Data 0.001 (0.004)	Loss 1.8954 (1.8760)	Prec@1 50.781 (51.127)	Prec@5 78.906 (80.841)
Epoch: [65][2060/14090]	Time 0.764 (0.769)	Data 0.001 (0.004)	Loss 1.5795 (1.8758)	Prec@1 55.469 (51.131)	Prec@5 84.375 (80.844)
Epoch: [65][2070/14090]	Time 0.750 (0.769)	Data 0.001 (0.004)	Loss 1.7173 (1.8756)	Prec@1 64.844 (51.144)	Prec@5 79.688 (80.849)
Epoch: [65][2080/14090]	Time 0.761 (0.769)	Data 0.001 (0.004)	Loss 2.0748 (1.8755)	Prec@1 42.969 (51.151)	Prec@5 74.219 (80.846)
Epoch: [65][2090/14090]	Time 0.728 (0.769)	Data 0.001 (0.004)	Loss 1.8831 (1.8759)	Prec@1 46.094 (51.147)	Prec@5 80.469 (80.835)
Epoch: [65][2100/14090]	Time 0.742 (0.769)	Data 0.001 (0.004)	Loss 1.8181 (1.8754)	Prec@1 57.812 (51.156)	Prec@5 83.594 (80.838)
Epoch: [65][2110/14090]	Time 0.746 (0.769)	Data 0.001 (0.004)	Loss 1.6729 (1.8751)	Prec@1 59.375 (51.161)	Prec@5 81.250 (80.843)
Epoch: [65][2120/14090]	Time 0.871 (0.769)	Data 0.001 (0.004)	Loss 1.9169 (1.8745)	Prec@1 43.750 (51.169)	Prec@5 80.469 (80.851)
Epoch: [65][2130/14090]	Time 0.743 (0.769)	Data 0.001 (0.004)	Loss 1.7299 (1.8746)	Prec@1 52.344 (51.166)	Prec@5 84.375 (80.853)
Epoch: [65][2140/14090]	Time 0.739 (0.769)	Data 0.001 (0.004)	Loss 2.0847 (1.8747)	Prec@1 47.656 (51.171)	Prec@5 75.781 (80.845)
Epoch: [65][2150/14090]	Time 0.754 (0.769)	Data 0.001 (0.004)	Loss 2.0654 (1.8750)	Prec@1 44.531 (51.162)	Prec@5 77.344 (80.835)
Epoch: [65][2160/14090]	Time 0.731 (0.769)	Data 0.001 (0.004)	Loss 2.0954 (1.8755)	Prec@1 46.094 (51.156)	Prec@5 75.781 (80.829)
Epoch: [65][2170/14090]	Time 0.730 (0.769)	Data 0.001 (0.004)	Loss 1.7035 (1.8756)	Prec@1 54.688 (51.155)	Prec@5 87.500 (80.829)
Epoch: [65][2180/14090]	Time 0.774 (0.769)	Data 0.001 (0.004)	Loss 1.4761 (1.8755)	Prec@1 59.375 (51.158)	Prec@5 86.719 (80.833)
Epoch: [65][2190/14090]	Time 0.839 (0.769)	Data 0.001 (0.004)	Loss 1.6754 (1.8754)	Prec@1 53.906 (51.151)	Prec@5 83.594 (80.836)
Epoch: [65][2200/14090]	Time 0.737 (0.769)	Data 0.001 (0.004)	Loss 1.6681 (1.8751)	Prec@1 53.125 (51.162)	Prec@5 82.812 (80.843)
Epoch: [65][2210/14090]	Time 0.747 (0.769)	Data 0.001 (0.004)	Loss 1.9233 (1.8751)	Prec@1 46.094 (51.161)	Prec@5 83.594 (80.841)
Epoch: [65][2220/14090]	Time 0.749 (0.769)	Data 0.001 (0.004)	Loss 1.8661 (1.8749)	Prec@1 47.656 (51.166)	Prec@5 78.906 (80.843)
Epoch: [65][2230/14090]	Time 0.730 (0.769)	Data 0.001 (0.004)	Loss 1.9727 (1.8751)	Prec@1 54.688 (51.165)	Prec@5 78.906 (80.839)
Epoch: [65][2240/14090]	Time 0.753 (0.769)	Data 0.001 (0.004)	Loss 1.8751 (1.8754)	Prec@1 50.781 (51.166)	Prec@5 80.469 (80.833)
Epoch: [65][2250/14090]	Time 0.748 (0.769)	Data 0.001 (0.004)	Loss 1.8643 (1.8753)	Prec@1 49.219 (51.168)	Prec@5 79.688 (80.834)
Epoch: [65][2260/14090]	Time 0.895 (0.769)	Data 0.001 (0.004)	Loss 1.7082 (1.8752)	Prec@1 55.469 (51.176)	Prec@5 82.812 (80.834)
Epoch: [65][2270/14090]	Time 0.724 (0.769)	Data 0.001 (0.003)	Loss 1.6065 (1.8751)	Prec@1 57.031 (51.179)	Prec@5 83.594 (80.842)
Epoch: [65][2280/14090]	Time 0.744 (0.769)	Data 0.001 (0.003)	Loss 1.9088 (1.8750)	Prec@1 50.781 (51.185)	Prec@5 81.250 (80.848)
Epoch: [65][2290/14090]	Time 0.741 (0.769)	Data 0.001 (0.003)	Loss 1.8417 (1.8752)	Prec@1 52.344 (51.176)	Prec@5 85.156 (80.846)
Epoch: [65][2300/14090]	Time 0.733 (0.769)	Data 0.001 (0.003)	Loss 1.4466 (1.8748)	Prec@1 60.156 (51.178)	Prec@5 86.719 (80.854)
Epoch: [65][2310/14090]	Time 0.742 (0.769)	Data 0.003 (0.003)	Loss 1.7667 (1.8748)	Prec@1 52.344 (51.183)	Prec@5 82.031 (80.855)
Epoch: [65][2320/14090]	Time 0.747 (0.769)	Data 0.001 (0.003)	Loss 1.8497 (1.8753)	Prec@1 55.469 (51.176)	Prec@5 81.250 (80.842)
Epoch: [65][2330/14090]	Time 0.871 (0.769)	Data 0.001 (0.003)	Loss 1.8807 (1.8752)	Prec@1 43.750 (51.172)	Prec@5 82.812 (80.845)
Epoch: [65][2340/14090]	Time 0.754 (0.769)	Data 0.001 (0.003)	Loss 1.7573 (1.8750)	Prec@1 47.656 (51.173)	Prec@5 82.812 (80.848)
Epoch: [65][2350/14090]	Time 0.736 (0.769)	Data 0.001 (0.003)	Loss 1.9378 (1.8751)	Prec@1 48.438 (51.180)	Prec@5 78.906 (80.845)
Epoch: [65][2360/14090]	Time 0.758 (0.769)	Data 0.001 (0.003)	Loss 1.9656 (1.8749)	Prec@1 48.438 (51.179)	Prec@5 75.000 (80.848)
Epoch: [65][2370/14090]	Time 0.768 (0.769)	Data 0.001 (0.003)	Loss 1.9462 (1.8748)	Prec@1 48.438 (51.179)	Prec@5 75.781 (80.847)
Epoch: [65][2380/14090]	Time 0.739 (0.769)	Data 0.001 (0.003)	Loss 1.9562 (1.8745)	Prec@1 43.750 (51.185)	Prec@5 82.812 (80.854)
Epoch: [65][2390/14090]	Time 0.758 (0.769)	Data 0.001 (0.003)	Loss 1.7961 (1.8742)	Prec@1 50.000 (51.188)	Prec@5 78.906 (80.855)
Epoch: [65][2400/14090]	Time 0.857 (0.769)	Data 0.001 (0.003)	Loss 1.8341 (1.8743)	Prec@1 53.906 (51.187)	Prec@5 82.031 (80.852)
Epoch: [65][2410/14090]	Time 0.743 (0.769)	Data 0.001 (0.003)	Loss 1.9283 (1.8744)	Prec@1 53.906 (51.186)	Prec@5 81.250 (80.854)
Epoch: [65][2420/14090]	Time 0.740 (0.769)	Data 0.001 (0.003)	Loss 1.8369 (1.8745)	Prec@1 51.562 (51.182)	Prec@5 82.812 (80.856)
Epoch: [65][2430/14090]	Time 0.763 (0.769)	Data 0.001 (0.003)	Loss 1.9664 (1.8745)	Prec@1 51.562 (51.180)	Prec@5 78.125 (80.854)
Epoch: [65][2440/14090]	Time 0.731 (0.769)	Data 0.001 (0.003)	Loss 1.7770 (1.8743)	Prec@1 49.219 (51.184)	Prec@5 81.250 (80.857)
Epoch: [65][2450/14090]	Time 0.742 (0.769)	Data 0.001 (0.003)	Loss 2.2196 (1.8745)	Prec@1 44.531 (51.184)	Prec@5 72.656 (80.854)
Epoch: [65][2460/14090]	Time 0.758 (0.769)	Data 0.002 (0.003)	Loss 1.8464 (1.8749)	Prec@1 51.562 (51.173)	Prec@5 80.469 (80.849)
Epoch: [65][2470/14090]	Time 0.869 (0.769)	Data 0.001 (0.003)	Loss 1.7692 (1.8748)	Prec@1 51.562 (51.172)	Prec@5 85.156 (80.854)
Epoch: [65][2480/14090]	Time 0.740 (0.769)	Data 0.001 (0.003)	Loss 2.1896 (1.8746)	Prec@1 46.094 (51.175)	Prec@5 80.469 (80.860)
Epoch: [65][2490/14090]	Time 0.746 (0.769)	Data 0.001 (0.003)	Loss 1.8787 (1.8743)	Prec@1 46.094 (51.177)	Prec@5 80.469 (80.866)
Epoch: [65][2500/14090]	Time 0.730 (0.769)	Data 0.001 (0.003)	Loss 1.7010 (1.8741)	Prec@1 54.688 (51.177)	Prec@5 82.031 (80.875)
Epoch: [65][2510/14090]	Time 0.721 (0.769)	Data 0.001 (0.003)	Loss 1.9026 (1.8743)	Prec@1 48.438 (51.169)	Prec@5 78.125 (80.872)
Epoch: [65][2520/14090]	Time 0.766 (0.769)	Data 0.001 (0.003)	Loss 1.6608 (1.8744)	Prec@1 49.219 (51.165)	Prec@5 84.375 (80.870)
Epoch: [65][2530/14090]	Time 0.749 (0.768)	Data 0.001 (0.003)	Loss 1.9213 (1.8745)	Prec@1 49.219 (51.157)	Prec@5 78.906 (80.871)
Epoch: [65][2540/14090]	Time 0.879 (0.769)	Data 0.001 (0.003)	Loss 2.1536 (1.8744)	Prec@1 50.000 (51.157)	Prec@5 76.562 (80.870)
Epoch: [65][2550/14090]	Time 0.779 (0.769)	Data 0.001 (0.003)	Loss 1.7035 (1.8747)	Prec@1 50.000 (51.147)	Prec@5 84.375 (80.871)
Epoch: [65][2560/14090]	Time 0.748 (0.768)	Data 0.001 (0.003)	Loss 2.0621 (1.8748)	Prec@1 48.438 (51.152)	Prec@5 74.219 (80.868)
Epoch: [65][2570/14090]	Time 0.749 (0.768)	Data 0.001 (0.003)	Loss 1.7052 (1.8747)	Prec@1 53.125 (51.155)	Prec@5 85.938 (80.866)
Epoch: [65][2580/14090]	Time 0.759 (0.768)	Data 0.001 (0.003)	Loss 1.6987 (1.8743)	Prec@1 51.562 (51.163)	Prec@5 85.156 (80.874)
Epoch: [65][2590/14090]	Time 0.751 (0.768)	Data 0.001 (0.003)	Loss 1.8527 (1.8742)	Prec@1 50.000 (51.160)	Prec@5 81.250 (80.872)
Epoch: [65][2600/14090]	Time 0.734 (0.768)	Data 0.001 (0.003)	Loss 1.7149 (1.8741)	Prec@1 55.469 (51.164)	Prec@5 82.031 (80.869)
Epoch: [65][2610/14090]	Time 0.998 (0.769)	Data 0.001 (0.003)	Loss 2.0992 (1.8744)	Prec@1 42.969 (51.153)	Prec@5 77.344 (80.866)
Epoch: [65][2620/14090]	Time 0.748 (0.769)	Data 0.001 (0.003)	Loss 1.9716 (1.8745)	Prec@1 43.750 (51.154)	Prec@5 78.906 (80.868)
Epoch: [65][2630/14090]	Time 0.742 (0.768)	Data 0.001 (0.003)	Loss 1.8454 (1.8744)	Prec@1 52.344 (51.151)	Prec@5 81.250 (80.872)
Epoch: [65][2640/14090]	Time 0.763 (0.769)	Data 0.001 (0.003)	Loss 1.7949 (1.8746)	Prec@1 48.438 (51.144)	Prec@5 82.031 (80.870)
Epoch: [65][2650/14090]	Time 0.730 (0.768)	Data 0.001 (0.003)	Loss 1.7886 (1.8750)	Prec@1 53.125 (51.140)	Prec@5 85.938 (80.870)
Epoch: [65][2660/14090]	Time 0.749 (0.768)	Data 0.001 (0.003)	Loss 1.6734 (1.8747)	Prec@1 53.906 (51.144)	Prec@5 85.156 (80.875)
Epoch: [65][2670/14090]	Time 0.770 (0.768)	Data 0.001 (0.003)	Loss 1.8204 (1.8744)	Prec@1 54.688 (51.150)	Prec@5 83.594 (80.886)
Epoch: [65][2680/14090]	Time 0.864 (0.768)	Data 0.001 (0.003)	Loss 2.1844 (1.8743)	Prec@1 42.969 (51.147)	Prec@5 75.000 (80.890)
Epoch: [65][2690/14090]	Time 0.776 (0.768)	Data 0.001 (0.003)	Loss 1.8248 (1.8742)	Prec@1 49.219 (51.147)	Prec@5 82.031 (80.891)
Epoch: [65][2700/14090]	Time 0.727 (0.768)	Data 0.001 (0.003)	Loss 1.7878 (1.8740)	Prec@1 54.688 (51.153)	Prec@5 82.031 (80.892)
Epoch: [65][2710/14090]	Time 0.742 (0.768)	Data 0.001 (0.003)	Loss 1.7650 (1.8741)	Prec@1 56.250 (51.151)	Prec@5 79.688 (80.891)
Epoch: [65][2720/14090]	Time 0.754 (0.768)	Data 0.001 (0.003)	Loss 1.7130 (1.8739)	Prec@1 55.469 (51.155)	Prec@5 84.375 (80.893)
Epoch: [65][2730/14090]	Time 0.772 (0.768)	Data 0.001 (0.003)	Loss 1.7724 (1.8739)	Prec@1 50.000 (51.160)	Prec@5 83.594 (80.894)
Epoch: [65][2740/14090]	Time 0.751 (0.768)	Data 0.001 (0.003)	Loss 1.9338 (1.8739)	Prec@1 46.875 (51.155)	Prec@5 79.688 (80.897)
Epoch: [65][2750/14090]	Time 0.863 (0.768)	Data 0.001 (0.003)	Loss 1.8061 (1.8740)	Prec@1 49.219 (51.153)	Prec@5 83.594 (80.895)
Epoch: [65][2760/14090]	Time 0.755 (0.768)	Data 0.002 (0.003)	Loss 2.1585 (1.8740)	Prec@1 43.750 (51.150)	Prec@5 75.781 (80.897)
Epoch: [65][2770/14090]	Time 0.749 (0.768)	Data 0.001 (0.003)	Loss 1.9548 (1.8743)	Prec@1 53.125 (51.150)	Prec@5 80.469 (80.893)
Epoch: [65][2780/14090]	Time 0.748 (0.768)	Data 0.001 (0.003)	Loss 2.1243 (1.8743)	Prec@1 50.781 (51.150)	Prec@5 73.438 (80.889)
Epoch: [65][2790/14090]	Time 0.747 (0.768)	Data 0.001 (0.003)	Loss 2.0947 (1.8746)	Prec@1 50.000 (51.146)	Prec@5 76.562 (80.884)
Epoch: [65][2800/14090]	Time 0.760 (0.768)	Data 0.001 (0.003)	Loss 1.8416 (1.8744)	Prec@1 57.031 (51.149)	Prec@5 78.906 (80.887)
Epoch: [65][2810/14090]	Time 0.735 (0.768)	Data 0.001 (0.003)	Loss 1.6057 (1.8744)	Prec@1 59.375 (51.150)	Prec@5 89.062 (80.887)
Epoch: [65][2820/14090]	Time 0.886 (0.768)	Data 0.001 (0.003)	Loss 1.8920 (1.8743)	Prec@1 53.906 (51.154)	Prec@5 80.469 (80.885)
Epoch: [65][2830/14090]	Time 0.722 (0.768)	Data 0.001 (0.003)	Loss 2.0381 (1.8742)	Prec@1 41.406 (51.150)	Prec@5 77.344 (80.890)
Epoch: [65][2840/14090]	Time 0.748 (0.768)	Data 0.001 (0.003)	Loss 1.9344 (1.8746)	Prec@1 48.438 (51.140)	Prec@5 81.250 (80.883)
Epoch: [65][2850/14090]	Time 0.769 (0.768)	Data 0.001 (0.003)	Loss 1.6343 (1.8748)	Prec@1 59.375 (51.140)	Prec@5 84.375 (80.878)
Epoch: [65][2860/14090]	Time 0.753 (0.768)	Data 0.001 (0.003)	Loss 1.9796 (1.8750)	Prec@1 46.875 (51.137)	Prec@5 79.688 (80.875)
Epoch: [65][2870/14090]	Time 0.722 (0.768)	Data 0.001 (0.003)	Loss 2.2133 (1.8753)	Prec@1 46.875 (51.130)	Prec@5 75.781 (80.873)
Epoch: [65][2880/14090]	Time 0.757 (0.768)	Data 0.001 (0.003)	Loss 1.7922 (1.8749)	Prec@1 54.688 (51.142)	Prec@5 82.812 (80.881)
Epoch: [65][2890/14090]	Time 0.963 (0.768)	Data 0.001 (0.003)	Loss 1.8038 (1.8750)	Prec@1 49.219 (51.135)	Prec@5 81.250 (80.883)
Epoch: [65][2900/14090]	Time 0.747 (0.768)	Data 0.001 (0.003)	Loss 1.7394 (1.8750)	Prec@1 60.156 (51.135)	Prec@5 81.250 (80.881)
Epoch: [65][2910/14090]	Time 0.753 (0.768)	Data 0.001 (0.003)	Loss 1.9241 (1.8749)	Prec@1 50.781 (51.142)	Prec@5 82.031 (80.880)
Epoch: [65][2920/14090]	Time 0.769 (0.768)	Data 0.001 (0.003)	Loss 1.7330 (1.8749)	Prec@1 55.469 (51.139)	Prec@5 80.469 (80.876)
Epoch: [65][2930/14090]	Time 0.766 (0.768)	Data 0.001 (0.003)	Loss 2.1302 (1.8750)	Prec@1 47.656 (51.136)	Prec@5 77.344 (80.873)
Epoch: [65][2940/14090]	Time 0.760 (0.768)	Data 0.001 (0.003)	Loss 2.0056 (1.8753)	Prec@1 50.000 (51.132)	Prec@5 82.812 (80.868)
Epoch: [65][2950/14090]	Time 0.736 (0.768)	Data 0.001 (0.003)	Loss 1.7976 (1.8753)	Prec@1 52.344 (51.133)	Prec@5 85.938 (80.866)
Epoch: [65][2960/14090]	Time 0.852 (0.768)	Data 0.001 (0.003)	Loss 1.8316 (1.8749)	Prec@1 52.344 (51.136)	Prec@5 84.375 (80.873)
Epoch: [65][2970/14090]	Time 0.742 (0.768)	Data 0.001 (0.003)	Loss 1.9978 (1.8748)	Prec@1 47.656 (51.146)	Prec@5 78.906 (80.876)
Epoch: [65][2980/14090]	Time 0.732 (0.768)	Data 0.001 (0.003)	Loss 1.7856 (1.8747)	Prec@1 51.562 (51.147)	Prec@5 82.031 (80.877)
Epoch: [65][2990/14090]	Time 0.736 (0.768)	Data 0.001 (0.003)	Loss 1.8817 (1.8749)	Prec@1 53.906 (51.139)	Prec@5 80.469 (80.875)
Epoch: [65][3000/14090]	Time 0.735 (0.768)	Data 0.001 (0.003)	Loss 1.6309 (1.8748)	Prec@1 60.156 (51.138)	Prec@5 86.719 (80.872)
Epoch: [65][3010/14090]	Time 0.734 (0.768)	Data 0.001 (0.003)	Loss 1.8155 (1.8747)	Prec@1 53.125 (51.139)	Prec@5 82.812 (80.872)
Epoch: [65][3020/14090]	Time 0.759 (0.768)	Data 0.001 (0.003)	Loss 1.8967 (1.8747)	Prec@1 48.438 (51.137)	Prec@5 84.375 (80.875)
Epoch: [65][3030/14090]	Time 0.860 (0.768)	Data 0.001 (0.003)	Loss 2.0647 (1.8749)	Prec@1 40.625 (51.132)	Prec@5 77.344 (80.871)
Epoch: [65][3040/14090]	Time 0.751 (0.768)	Data 0.001 (0.003)	Loss 1.8074 (1.8749)	Prec@1 53.906 (51.131)	Prec@5 76.562 (80.865)
Epoch: [65][3050/14090]	Time 0.758 (0.768)	Data 0.001 (0.003)	Loss 1.7951 (1.8751)	Prec@1 51.562 (51.126)	Prec@5 80.469 (80.860)
Epoch: [65][3060/14090]	Time 0.734 (0.768)	Data 0.001 (0.003)	Loss 1.9313 (1.8749)	Prec@1 56.250 (51.125)	Prec@5 81.250 (80.865)
Epoch: [65][3070/14090]	Time 0.738 (0.768)	Data 0.001 (0.003)	Loss 1.9726 (1.8748)	Prec@1 53.125 (51.126)	Prec@5 75.781 (80.866)
Epoch: [65][3080/14090]	Time 0.777 (0.768)	Data 0.001 (0.003)	Loss 1.8109 (1.8749)	Prec@1 53.906 (51.130)	Prec@5 82.812 (80.866)
Epoch: [65][3090/14090]	Time 0.760 (0.768)	Data 0.001 (0.003)	Loss 1.4904 (1.8749)	Prec@1 58.594 (51.129)	Prec@5 89.062 (80.868)
Epoch: [65][3100/14090]	Time 0.900 (0.768)	Data 0.001 (0.003)	Loss 1.8676 (1.8749)	Prec@1 46.875 (51.125)	Prec@5 75.781 (80.866)
Epoch: [65][3110/14090]	Time 0.778 (0.768)	Data 0.001 (0.003)	Loss 1.6751 (1.8746)	Prec@1 53.906 (51.132)	Prec@5 86.719 (80.871)
Epoch: [65][3120/14090]	Time 0.758 (0.768)	Data 0.001 (0.003)	Loss 1.6589 (1.8746)	Prec@1 57.812 (51.134)	Prec@5 85.156 (80.872)
Epoch: [65][3130/14090]	Time 0.780 (0.768)	Data 0.001 (0.003)	Loss 2.0355 (1.8750)	Prec@1 46.094 (51.126)	Prec@5 77.344 (80.861)
Epoch: [65][3140/14090]	Time 0.735 (0.768)	Data 0.001 (0.003)	Loss 1.9464 (1.8750)	Prec@1 43.750 (51.119)	Prec@5 79.688 (80.859)
Epoch: [65][3150/14090]	Time 0.754 (0.768)	Data 0.001 (0.003)	Loss 1.9807 (1.8754)	Prec@1 50.000 (51.116)	Prec@5 78.906 (80.853)
Epoch: [65][3160/14090]	Time 0.755 (0.768)	Data 0.001 (0.003)	Loss 1.8346 (1.8755)	Prec@1 50.781 (51.117)	Prec@5 81.250 (80.854)
Epoch: [65][3170/14090]	Time 0.855 (0.768)	Data 0.001 (0.003)	Loss 2.0118 (1.8755)	Prec@1 46.094 (51.112)	Prec@5 78.125 (80.856)
Epoch: [65][3180/14090]	Time 0.734 (0.768)	Data 0.001 (0.003)	Loss 1.7797 (1.8755)	Prec@1 48.438 (51.112)	Prec@5 82.812 (80.855)
Epoch: [65][3190/14090]	Time 0.741 (0.768)	Data 0.001 (0.003)	Loss 2.1531 (1.8754)	Prec@1 47.656 (51.115)	Prec@5 78.125 (80.857)
Epoch: [65][3200/14090]	Time 0.757 (0.768)	Data 0.001 (0.003)	Loss 1.8836 (1.8755)	Prec@1 50.000 (51.114)	Prec@5 80.469 (80.852)
Epoch: [65][3210/14090]	Time 0.749 (0.768)	Data 0.001 (0.003)	Loss 1.9491 (1.8755)	Prec@1 47.656 (51.116)	Prec@5 75.000 (80.852)
Epoch: [65][3220/14090]	Time 0.734 (0.768)	Data 0.001 (0.003)	Loss 1.6641 (1.8753)	Prec@1 57.812 (51.122)	Prec@5 85.156 (80.856)
Epoch: [65][3230/14090]	Time 0.726 (0.768)	Data 0.001 (0.003)	Loss 2.0213 (1.8755)	Prec@1 48.438 (51.112)	Prec@5 78.125 (80.853)
Epoch: [65][3240/14090]	Time 0.835 (0.768)	Data 0.001 (0.003)	Loss 1.8768 (1.8754)	Prec@1 49.219 (51.115)	Prec@5 75.000 (80.852)
Epoch: [65][3250/14090]	Time 0.750 (0.768)	Data 0.001 (0.003)	Loss 1.8015 (1.8754)	Prec@1 51.562 (51.117)	Prec@5 82.031 (80.851)
Epoch: [65][3260/14090]	Time 0.759 (0.768)	Data 0.001 (0.003)	Loss 1.7836 (1.8754)	Prec@1 50.000 (51.119)	Prec@5 82.812 (80.851)
Epoch: [65][3270/14090]	Time 0.725 (0.768)	Data 0.001 (0.003)	Loss 1.9309 (1.8755)	Prec@1 52.344 (51.115)	Prec@5 80.469 (80.847)
Epoch: [65][3280/14090]	Time 0.741 (0.768)	Data 0.001 (0.003)	Loss 1.5772 (1.8756)	Prec@1 53.125 (51.111)	Prec@5 85.938 (80.846)
Epoch: [65][3290/14090]	Time 0.720 (0.768)	Data 0.001 (0.003)	Loss 1.7319 (1.8755)	Prec@1 59.375 (51.119)	Prec@5 82.031 (80.849)
Epoch: [65][3300/14090]	Time 0.736 (0.768)	Data 0.001 (0.003)	Loss 1.8476 (1.8757)	Prec@1 53.125 (51.114)	Prec@5 80.469 (80.846)
Epoch: [65][3310/14090]	Time 0.885 (0.768)	Data 0.001 (0.003)	Loss 1.8110 (1.8754)	Prec@1 47.656 (51.118)	Prec@5 82.812 (80.852)
Epoch: [65][3320/14090]	Time 0.735 (0.768)	Data 0.001 (0.003)	Loss 1.9409 (1.8752)	Prec@1 52.344 (51.120)	Prec@5 79.688 (80.858)
Epoch: [65][3330/14090]	Time 0.759 (0.768)	Data 0.001 (0.003)	Loss 1.5445 (1.8751)	Prec@1 59.375 (51.123)	Prec@5 88.281 (80.862)
Epoch: [65][3340/14090]	Time 0.768 (0.768)	Data 0.001 (0.003)	Loss 2.0775 (1.8749)	Prec@1 46.875 (51.132)	Prec@5 71.875 (80.864)
Epoch: [65][3350/14090]	Time 0.737 (0.768)	Data 0.001 (0.003)	Loss 1.9737 (1.8751)	Prec@1 49.219 (51.128)	Prec@5 80.469 (80.863)
Epoch: [65][3360/14090]	Time 0.744 (0.768)	Data 0.001 (0.003)	Loss 1.9881 (1.8749)	Prec@1 52.344 (51.134)	Prec@5 79.688 (80.865)
Epoch: [65][3370/14090]	Time 0.748 (0.768)	Data 0.001 (0.003)	Loss 1.9012 (1.8749)	Prec@1 46.875 (51.130)	Prec@5 81.250 (80.865)
Epoch: [65][3380/14090]	Time 0.858 (0.768)	Data 0.001 (0.003)	Loss 1.8239 (1.8747)	Prec@1 50.781 (51.133)	Prec@5 78.906 (80.869)
Epoch: [65][3390/14090]	Time 0.736 (0.768)	Data 0.001 (0.003)	Loss 1.8659 (1.8747)	Prec@1 46.875 (51.133)	Prec@5 84.375 (80.869)
Epoch: [65][3400/14090]	Time 0.742 (0.768)	Data 0.001 (0.003)	Loss 2.1370 (1.8749)	Prec@1 48.438 (51.131)	Prec@5 76.562 (80.868)
Epoch: [65][3410/14090]	Time 0.767 (0.768)	Data 0.001 (0.003)	Loss 1.7652 (1.8748)	Prec@1 53.906 (51.133)	Prec@5 83.594 (80.870)
Epoch: [65][3420/14090]	Time 0.744 (0.768)	Data 0.001 (0.003)	Loss 1.5306 (1.8746)	Prec@1 55.469 (51.138)	Prec@5 86.719 (80.871)
Epoch: [65][3430/14090]	Time 0.755 (0.768)	Data 0.004 (0.003)	Loss 2.0940 (1.8747)	Prec@1 47.656 (51.133)	Prec@5 75.781 (80.867)
Epoch: [65][3440/14090]	Time 0.735 (0.768)	Data 0.001 (0.003)	Loss 1.7029 (1.8746)	Prec@1 53.125 (51.132)	Prec@5 89.062 (80.873)
Epoch: [65][3450/14090]	Time 0.852 (0.768)	Data 0.001 (0.003)	Loss 1.8760 (1.8743)	Prec@1 50.781 (51.136)	Prec@5 81.250 (80.880)
Epoch: [65][3460/14090]	Time 0.735 (0.768)	Data 0.001 (0.003)	Loss 1.6044 (1.8741)	Prec@1 58.594 (51.139)	Prec@5 84.375 (80.883)
Epoch: [65][3470/14090]	Time 0.753 (0.768)	Data 0.001 (0.003)	Loss 1.7845 (1.8741)	Prec@1 55.469 (51.136)	Prec@5 81.250 (80.883)
Epoch: [65][3480/14090]	Time 0.733 (0.768)	Data 0.001 (0.003)	Loss 1.7270 (1.8742)	Prec@1 56.250 (51.135)	Prec@5 83.594 (80.881)
Epoch: [65][3490/14090]	Time 0.750 (0.768)	Data 0.001 (0.003)	Loss 1.9100 (1.8741)	Prec@1 49.219 (51.136)	Prec@5 75.000 (80.884)
Epoch: [65][3500/14090]	Time 0.731 (0.768)	Data 0.001 (0.003)	Loss 1.9553 (1.8739)	Prec@1 46.875 (51.145)	Prec@5 76.562 (80.886)
Epoch: [65][3510/14090]	Time 0.734 (0.768)	Data 0.001 (0.003)	Loss 1.8389 (1.8740)	Prec@1 49.219 (51.147)	Prec@5 82.031 (80.885)
Epoch: [65][3520/14090]	Time 0.869 (0.768)	Data 0.001 (0.003)	Loss 1.9233 (1.8739)	Prec@1 54.688 (51.145)	Prec@5 80.469 (80.886)
Epoch: [65][3530/14090]	Time 0.738 (0.768)	Data 0.001 (0.003)	Loss 1.9998 (1.8741)	Prec@1 49.219 (51.143)	Prec@5 73.438 (80.879)
Epoch: [65][3540/14090]	Time 0.742 (0.768)	Data 0.001 (0.003)	Loss 1.8507 (1.8742)	Prec@1 55.469 (51.141)	Prec@5 82.812 (80.877)
Epoch: [65][3550/14090]	Time 0.771 (0.768)	Data 0.001 (0.003)	Loss 1.8964 (1.8743)	Prec@1 44.531 (51.138)	Prec@5 82.031 (80.873)
Epoch: [65][3560/14090]	Time 0.759 (0.768)	Data 0.001 (0.003)	Loss 2.1953 (1.8745)	Prec@1 45.312 (51.141)	Prec@5 76.562 (80.869)
Epoch: [65][3570/14090]	Time 0.753 (0.768)	Data 0.001 (0.003)	Loss 1.7750 (1.8744)	Prec@1 48.438 (51.147)	Prec@5 78.906 (80.869)
Epoch: [65][3580/14090]	Time 0.738 (0.768)	Data 0.001 (0.003)	Loss 1.8451 (1.8743)	Prec@1 50.781 (51.146)	Prec@5 78.906 (80.869)
Epoch: [65][3590/14090]	Time 0.902 (0.768)	Data 0.001 (0.003)	Loss 1.8729 (1.8742)	Prec@1 51.562 (51.146)	Prec@5 79.688 (80.874)
Epoch: [65][3600/14090]	Time 0.735 (0.768)	Data 0.001 (0.003)	Loss 1.6765 (1.8743)	Prec@1 52.344 (51.145)	Prec@5 85.156 (80.872)
Epoch: [65][3610/14090]	Time 0.755 (0.768)	Data 0.001 (0.003)	Loss 1.8352 (1.8743)	Prec@1 53.906 (51.152)	Prec@5 82.031 (80.873)
Epoch: [65][3620/14090]	Time 0.729 (0.768)	Data 0.001 (0.003)	Loss 1.8300 (1.8743)	Prec@1 48.438 (51.150)	Prec@5 82.812 (80.872)
Epoch: [65][3630/14090]	Time 0.742 (0.768)	Data 0.001 (0.003)	Loss 1.9239 (1.8744)	Prec@1 52.344 (51.150)	Prec@5 78.125 (80.871)
Epoch: [65][3640/14090]	Time 0.751 (0.768)	Data 0.001 (0.003)	Loss 1.8303 (1.8740)	Prec@1 53.906 (51.160)	Prec@5 84.375 (80.877)
Epoch: [65][3650/14090]	Time 0.726 (0.768)	Data 0.001 (0.003)	Loss 1.7388 (1.8740)	Prec@1 56.250 (51.160)	Prec@5 83.594 (80.878)
Epoch: [65][3660/14090]	Time 0.865 (0.768)	Data 0.001 (0.003)	Loss 1.9201 (1.8741)	Prec@1 51.562 (51.157)	Prec@5 78.125 (80.875)
Epoch: [65][3670/14090]	Time 0.754 (0.768)	Data 0.001 (0.003)	Loss 1.6344 (1.8742)	Prec@1 58.594 (51.157)	Prec@5 81.250 (80.871)
Epoch: [65][3680/14090]	Time 0.760 (0.768)	Data 0.001 (0.002)	Loss 1.7692 (1.8740)	Prec@1 52.344 (51.160)	Prec@5 82.812 (80.873)
Epoch: [65][3690/14090]	Time 0.736 (0.768)	Data 0.001 (0.002)	Loss 1.9184 (1.8741)	Prec@1 51.562 (51.158)	Prec@5 79.688 (80.874)
Epoch: [65][3700/14090]	Time 0.731 (0.768)	Data 0.001 (0.002)	Loss 2.0229 (1.8740)	Prec@1 53.906 (51.160)	Prec@5 80.469 (80.877)
Epoch: [65][3710/14090]	Time 0.761 (0.768)	Data 0.001 (0.002)	Loss 2.0940 (1.8739)	Prec@1 47.656 (51.166)	Prec@5 78.125 (80.876)
Epoch: [65][3720/14090]	Time 0.762 (0.768)	Data 0.001 (0.002)	Loss 2.1540 (1.8740)	Prec@1 42.969 (51.158)	Prec@5 78.125 (80.876)
Epoch: [65][3730/14090]	Time 0.932 (0.768)	Data 0.001 (0.002)	Loss 1.6535 (1.8740)	Prec@1 57.031 (51.163)	Prec@5 84.375 (80.875)
Epoch: [65][3740/14090]	Time 0.744 (0.768)	Data 0.001 (0.002)	Loss 1.9043 (1.8741)	Prec@1 47.656 (51.161)	Prec@5 79.688 (80.873)
Epoch: [65][3750/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 1.7930 (1.8739)	Prec@1 57.031 (51.165)	Prec@5 82.031 (80.877)
Epoch: [65][3760/14090]	Time 0.773 (0.768)	Data 0.001 (0.002)	Loss 1.9123 (1.8740)	Prec@1 47.656 (51.162)	Prec@5 78.906 (80.877)
Epoch: [65][3770/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 1.7525 (1.8738)	Prec@1 55.469 (51.169)	Prec@5 84.375 (80.879)
Epoch: [65][3780/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 2.0619 (1.8740)	Prec@1 50.000 (51.166)	Prec@5 75.000 (80.874)
Epoch: [65][3790/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 1.9392 (1.8741)	Prec@1 52.344 (51.167)	Prec@5 82.812 (80.875)
Epoch: [65][3800/14090]	Time 0.874 (0.767)	Data 0.001 (0.002)	Loss 1.9434 (1.8741)	Prec@1 50.781 (51.170)	Prec@5 84.375 (80.873)
Epoch: [65][3810/14090]	Time 0.725 (0.767)	Data 0.001 (0.002)	Loss 2.0293 (1.8739)	Prec@1 46.094 (51.173)	Prec@5 77.344 (80.878)
Epoch: [65][3820/14090]	Time 0.728 (0.767)	Data 0.001 (0.002)	Loss 1.7309 (1.8738)	Prec@1 55.469 (51.174)	Prec@5 83.594 (80.878)
Epoch: [65][3830/14090]	Time 0.728 (0.767)	Data 0.001 (0.002)	Loss 1.9571 (1.8741)	Prec@1 50.781 (51.172)	Prec@5 81.250 (80.876)
Epoch: [65][3840/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 2.0897 (1.8741)	Prec@1 47.656 (51.170)	Prec@5 75.781 (80.872)
Epoch: [65][3850/14090]	Time 0.724 (0.767)	Data 0.001 (0.002)	Loss 1.6368 (1.8739)	Prec@1 61.719 (51.176)	Prec@5 85.938 (80.875)
Epoch: [65][3860/14090]	Time 0.725 (0.767)	Data 0.001 (0.002)	Loss 1.7629 (1.8739)	Prec@1 50.781 (51.175)	Prec@5 80.469 (80.877)
Epoch: [65][3870/14090]	Time 0.861 (0.767)	Data 0.001 (0.002)	Loss 1.8146 (1.8737)	Prec@1 49.219 (51.179)	Prec@5 83.594 (80.886)
Epoch: [65][3880/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 2.0327 (1.8736)	Prec@1 46.875 (51.178)	Prec@5 79.688 (80.888)
Epoch: [65][3890/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 1.7871 (1.8735)	Prec@1 53.906 (51.186)	Prec@5 82.812 (80.891)
Epoch: [65][3900/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 1.8960 (1.8735)	Prec@1 50.000 (51.184)	Prec@5 83.594 (80.891)
Epoch: [65][3910/14090]	Time 0.760 (0.767)	Data 0.001 (0.002)	Loss 2.0625 (1.8735)	Prec@1 45.312 (51.188)	Prec@5 81.250 (80.888)
Epoch: [65][3920/14090]	Time 0.776 (0.767)	Data 0.001 (0.002)	Loss 1.6849 (1.8734)	Prec@1 57.812 (51.187)	Prec@5 83.594 (80.891)
Epoch: [65][3930/14090]	Time 0.726 (0.767)	Data 0.001 (0.002)	Loss 1.8530 (1.8732)	Prec@1 52.344 (51.192)	Prec@5 79.688 (80.893)
Epoch: [65][3940/14090]	Time 0.884 (0.767)	Data 0.001 (0.002)	Loss 2.0787 (1.8733)	Prec@1 48.438 (51.193)	Prec@5 77.344 (80.894)
Epoch: [65][3950/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 1.9073 (1.8734)	Prec@1 50.000 (51.192)	Prec@5 78.125 (80.891)
Epoch: [65][3960/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 2.1011 (1.8735)	Prec@1 52.344 (51.192)	Prec@5 74.219 (80.888)
Epoch: [65][3970/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 1.8183 (1.8738)	Prec@1 50.781 (51.189)	Prec@5 81.250 (80.881)
Epoch: [65][3980/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 1.6962 (1.8739)	Prec@1 58.594 (51.188)	Prec@5 85.156 (80.879)
Epoch: [65][3990/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 1.6896 (1.8736)	Prec@1 60.156 (51.189)	Prec@5 81.250 (80.880)
Epoch: [65][4000/14090]	Time 0.764 (0.767)	Data 0.001 (0.002)	Loss 1.9425 (1.8738)	Prec@1 50.000 (51.189)	Prec@5 79.688 (80.876)
Epoch: [65][4010/14090]	Time 0.852 (0.767)	Data 0.001 (0.002)	Loss 1.9903 (1.8739)	Prec@1 53.125 (51.186)	Prec@5 79.688 (80.877)
Epoch: [65][4020/14090]	Time 0.787 (0.767)	Data 0.001 (0.002)	Loss 1.8708 (1.8738)	Prec@1 48.438 (51.186)	Prec@5 83.594 (80.879)
Epoch: [65][4030/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 1.8315 (1.8738)	Prec@1 51.562 (51.187)	Prec@5 82.031 (80.879)
Epoch: [65][4040/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 1.8954 (1.8738)	Prec@1 47.656 (51.187)	Prec@5 81.250 (80.879)
Epoch: [65][4050/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 1.7550 (1.8739)	Prec@1 50.000 (51.183)	Prec@5 82.812 (80.882)
Epoch: [65][4060/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 1.8883 (1.8740)	Prec@1 43.750 (51.177)	Prec@5 84.375 (80.884)
Epoch: [65][4070/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 2.1191 (1.8741)	Prec@1 42.969 (51.176)	Prec@5 77.344 (80.885)
Epoch: [65][4080/14090]	Time 0.872 (0.767)	Data 0.001 (0.002)	Loss 2.0043 (1.8740)	Prec@1 52.344 (51.175)	Prec@5 81.250 (80.885)
Epoch: [65][4090/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 1.7041 (1.8740)	Prec@1 50.781 (51.175)	Prec@5 85.156 (80.887)
Epoch: [65][4100/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 1.8170 (1.8739)	Prec@1 54.688 (51.179)	Prec@5 85.156 (80.890)
Epoch: [65][4110/14090]	Time 0.731 (0.767)	Data 0.001 (0.002)	Loss 2.1467 (1.8740)	Prec@1 40.625 (51.175)	Prec@5 75.000 (80.889)
Epoch: [65][4120/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 1.8247 (1.8740)	Prec@1 56.250 (51.180)	Prec@5 79.688 (80.887)
Epoch: [65][4130/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 1.8941 (1.8741)	Prec@1 50.000 (51.177)	Prec@5 83.594 (80.887)
Epoch: [65][4140/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 1.8486 (1.8741)	Prec@1 55.469 (51.171)	Prec@5 82.031 (80.884)
Epoch: [65][4150/14090]	Time 0.847 (0.767)	Data 0.001 (0.002)	Loss 1.8845 (1.8743)	Prec@1 46.875 (51.165)	Prec@5 80.469 (80.881)
Epoch: [65][4160/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 1.9609 (1.8743)	Prec@1 51.562 (51.168)	Prec@5 79.688 (80.880)
Epoch: [65][4170/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 2.0484 (1.8744)	Prec@1 50.781 (51.164)	Prec@5 78.125 (80.881)
Epoch: [65][4180/14090]	Time 0.727 (0.767)	Data 0.001 (0.002)	Loss 2.2362 (1.8744)	Prec@1 41.406 (51.163)	Prec@5 75.781 (80.879)
Epoch: [65][4190/14090]	Time 0.726 (0.767)	Data 0.001 (0.002)	Loss 1.6563 (1.8746)	Prec@1 60.156 (51.159)	Prec@5 85.938 (80.880)
Epoch: [65][4200/14090]	Time 0.769 (0.767)	Data 0.001 (0.002)	Loss 1.6636 (1.8746)	Prec@1 57.031 (51.157)	Prec@5 79.688 (80.879)
Epoch: [65][4210/14090]	Time 0.761 (0.767)	Data 0.001 (0.002)	Loss 1.7364 (1.8748)	Prec@1 54.688 (51.153)	Prec@5 82.031 (80.873)
Epoch: [65][4220/14090]	Time 0.893 (0.767)	Data 0.001 (0.002)	Loss 1.8863 (1.8748)	Prec@1 45.312 (51.150)	Prec@5 85.156 (80.871)
Epoch: [65][4230/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 1.7657 (1.8748)	Prec@1 51.562 (51.154)	Prec@5 80.469 (80.871)
Epoch: [65][4240/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 1.4895 (1.8748)	Prec@1 60.156 (51.153)	Prec@5 86.719 (80.869)
Epoch: [65][4250/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 2.1665 (1.8751)	Prec@1 39.844 (51.149)	Prec@5 75.000 (80.866)
Epoch: [65][4260/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 1.8067 (1.8752)	Prec@1 56.250 (51.143)	Prec@5 80.469 (80.866)
Epoch: [65][4270/14090]	Time 0.757 (0.767)	Data 0.001 (0.002)	Loss 1.5902 (1.8751)	Prec@1 55.469 (51.143)	Prec@5 89.062 (80.872)
Epoch: [65][4280/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 1.8699 (1.8751)	Prec@1 55.469 (51.142)	Prec@5 83.594 (80.874)
Epoch: [65][4290/14090]	Time 0.839 (0.767)	Data 0.001 (0.002)	Loss 1.8959 (1.8753)	Prec@1 55.469 (51.142)	Prec@5 81.250 (80.874)
Epoch: [65][4300/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 1.8438 (1.8750)	Prec@1 52.344 (51.149)	Prec@5 82.031 (80.875)
Epoch: [65][4310/14090]	Time 0.761 (0.767)	Data 0.001 (0.002)	Loss 1.8710 (1.8750)	Prec@1 53.125 (51.149)	Prec@5 81.250 (80.876)
Epoch: [65][4320/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 1.9080 (1.8752)	Prec@1 48.438 (51.144)	Prec@5 78.906 (80.874)
Epoch: [65][4330/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 1.9815 (1.8752)	Prec@1 47.656 (51.146)	Prec@5 78.906 (80.874)
Epoch: [65][4340/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 1.8344 (1.8751)	Prec@1 50.000 (51.144)	Prec@5 82.812 (80.877)
Epoch: [65][4350/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 1.5080 (1.8751)	Prec@1 59.375 (51.146)	Prec@5 84.375 (80.876)
Epoch: [65][4360/14090]	Time 0.872 (0.767)	Data 0.001 (0.002)	Loss 1.9751 (1.8751)	Prec@1 50.000 (51.147)	Prec@5 75.000 (80.873)
Epoch: [65][4370/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 1.8892 (1.8751)	Prec@1 50.781 (51.150)	Prec@5 81.250 (80.874)
Epoch: [65][4380/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 1.9945 (1.8752)	Prec@1 50.000 (51.149)	Prec@5 78.906 (80.872)
Epoch: [65][4390/14090]	Time 0.762 (0.767)	Data 0.001 (0.002)	Loss 1.8893 (1.8752)	Prec@1 53.125 (51.151)	Prec@5 82.031 (80.871)
Epoch: [65][4400/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 2.1863 (1.8751)	Prec@1 40.625 (51.152)	Prec@5 74.219 (80.873)
Epoch: [65][4410/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 1.7899 (1.8750)	Prec@1 51.562 (51.151)	Prec@5 81.250 (80.875)
Epoch: [65][4420/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 1.8244 (1.8750)	Prec@1 54.688 (51.153)	Prec@5 82.031 (80.875)
Epoch: [65][4430/14090]	Time 0.863 (0.767)	Data 0.001 (0.002)	Loss 1.8435 (1.8750)	Prec@1 47.656 (51.150)	Prec@5 81.250 (80.874)
Epoch: [65][4440/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 1.6176 (1.8748)	Prec@1 56.250 (51.153)	Prec@5 84.375 (80.878)
Epoch: [65][4450/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 1.9590 (1.8747)	Prec@1 46.094 (51.157)	Prec@5 82.812 (80.879)
Epoch: [65][4460/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 1.7734 (1.8747)	Prec@1 54.688 (51.156)	Prec@5 82.031 (80.877)
Epoch: [65][4470/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 1.8648 (1.8748)	Prec@1 52.344 (51.154)	Prec@5 78.906 (80.877)
Epoch: [65][4480/14090]	Time 0.769 (0.767)	Data 0.001 (0.002)	Loss 2.0175 (1.8749)	Prec@1 45.312 (51.151)	Prec@5 78.906 (80.874)
Epoch: [65][4490/14090]	Time 0.768 (0.767)	Data 0.001 (0.002)	Loss 2.0474 (1.8749)	Prec@1 39.844 (51.149)	Prec@5 78.125 (80.876)
Epoch: [65][4500/14090]	Time 0.895 (0.767)	Data 0.001 (0.002)	Loss 1.6994 (1.8748)	Prec@1 57.812 (51.152)	Prec@5 85.156 (80.876)
Epoch: [65][4510/14090]	Time 0.763 (0.767)	Data 0.001 (0.002)	Loss 1.7694 (1.8749)	Prec@1 56.250 (51.150)	Prec@5 84.375 (80.877)
Epoch: [65][4520/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 1.9502 (1.8748)	Prec@1 47.656 (51.148)	Prec@5 80.469 (80.876)
Epoch: [65][4530/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 1.8723 (1.8749)	Prec@1 48.438 (51.149)	Prec@5 80.469 (80.872)
Epoch: [65][4540/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 1.6957 (1.8748)	Prec@1 57.031 (51.150)	Prec@5 82.812 (80.872)
Epoch: [65][4550/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 1.9102 (1.8749)	Prec@1 47.656 (51.147)	Prec@5 80.469 (80.868)
Epoch: [65][4560/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 2.2261 (1.8750)	Prec@1 44.531 (51.149)	Prec@5 77.344 (80.866)
Epoch: [65][4570/14090]	Time 0.833 (0.767)	Data 0.001 (0.002)	Loss 1.7008 (1.8753)	Prec@1 54.688 (51.147)	Prec@5 84.375 (80.861)
Epoch: [65][4580/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 2.0083 (1.8754)	Prec@1 44.531 (51.144)	Prec@5 77.344 (80.859)
Epoch: [65][4590/14090]	Time 0.721 (0.767)	Data 0.001 (0.002)	Loss 1.7445 (1.8753)	Prec@1 52.344 (51.143)	Prec@5 82.812 (80.861)
Epoch: [65][4600/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 2.0621 (1.8755)	Prec@1 47.656 (51.142)	Prec@5 77.344 (80.859)
Epoch: [65][4610/14090]	Time 0.784 (0.767)	Data 0.001 (0.002)	Loss 1.8456 (1.8756)	Prec@1 53.906 (51.140)	Prec@5 77.344 (80.855)
Epoch: [65][4620/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 1.9974 (1.8757)	Prec@1 43.750 (51.137)	Prec@5 80.469 (80.854)
Epoch: [65][4630/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 1.9253 (1.8755)	Prec@1 54.688 (51.143)	Prec@5 78.125 (80.856)
Epoch: [65][4640/14090]	Time 0.887 (0.767)	Data 0.001 (0.002)	Loss 2.1526 (1.8758)	Prec@1 50.781 (51.143)	Prec@5 75.000 (80.853)
Epoch: [65][4650/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 1.9070 (1.8758)	Prec@1 45.312 (51.139)	Prec@5 79.688 (80.853)
Epoch: [65][4660/14090]	Time 0.725 (0.767)	Data 0.001 (0.002)	Loss 1.8330 (1.8758)	Prec@1 48.438 (51.139)	Prec@5 84.375 (80.852)
Epoch: [65][4670/14090]	Time 0.768 (0.767)	Data 0.001 (0.002)	Loss 1.7446 (1.8757)	Prec@1 53.125 (51.142)	Prec@5 78.906 (80.854)
Epoch: [65][4680/14090]	Time 0.733 (0.767)	Data 0.004 (0.002)	Loss 1.9260 (1.8756)	Prec@1 51.562 (51.145)	Prec@5 75.000 (80.854)
Epoch: [65][4690/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 1.8849 (1.8757)	Prec@1 48.438 (51.144)	Prec@5 80.469 (80.854)
Epoch: [65][4700/14090]	Time 0.761 (0.767)	Data 0.001 (0.002)	Loss 2.0341 (1.8757)	Prec@1 43.750 (51.145)	Prec@5 76.562 (80.852)
Epoch: [65][4710/14090]	Time 0.839 (0.767)	Data 0.001 (0.002)	Loss 1.9937 (1.8757)	Prec@1 47.656 (51.146)	Prec@5 75.000 (80.853)
Epoch: [65][4720/14090]	Time 0.727 (0.767)	Data 0.001 (0.002)	Loss 2.0291 (1.8758)	Prec@1 47.656 (51.143)	Prec@5 76.562 (80.852)
Epoch: [65][4730/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 1.8509 (1.8758)	Prec@1 51.562 (51.143)	Prec@5 83.594 (80.855)
Epoch: [65][4740/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 2.0610 (1.8759)	Prec@1 46.875 (51.139)	Prec@5 75.000 (80.850)
Epoch: [65][4750/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 1.9847 (1.8759)	Prec@1 46.875 (51.136)	Prec@5 81.250 (80.852)
Epoch: [65][4760/14090]	Time 0.757 (0.767)	Data 0.001 (0.002)	Loss 2.0561 (1.8759)	Prec@1 37.500 (51.134)	Prec@5 81.250 (80.852)
Epoch: [65][4770/14090]	Time 0.775 (0.767)	Data 0.001 (0.002)	Loss 1.7642 (1.8760)	Prec@1 51.562 (51.136)	Prec@5 83.594 (80.851)
Epoch: [65][4780/14090]	Time 0.907 (0.767)	Data 0.001 (0.002)	Loss 1.8312 (1.8759)	Prec@1 53.125 (51.138)	Prec@5 82.812 (80.850)
Epoch: [65][4790/14090]	Time 0.724 (0.767)	Data 0.001 (0.002)	Loss 1.7940 (1.8760)	Prec@1 54.688 (51.137)	Prec@5 80.469 (80.850)
Epoch: [65][4800/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 2.2067 (1.8761)	Prec@1 46.875 (51.134)	Prec@5 74.219 (80.849)
Epoch: [65][4810/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 2.0632 (1.8761)	Prec@1 50.000 (51.133)	Prec@5 75.000 (80.849)
Epoch: [65][4820/14090]	Time 0.723 (0.767)	Data 0.001 (0.002)	Loss 1.8370 (1.8760)	Prec@1 54.688 (51.136)	Prec@5 82.812 (80.852)
Epoch: [65][4830/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 1.9293 (1.8761)	Prec@1 50.781 (51.134)	Prec@5 78.906 (80.850)
Epoch: [65][4840/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 1.8977 (1.8761)	Prec@1 49.219 (51.133)	Prec@5 79.688 (80.848)
Epoch: [65][4850/14090]	Time 0.864 (0.767)	Data 0.001 (0.002)	Loss 1.9848 (1.8760)	Prec@1 53.125 (51.136)	Prec@5 78.906 (80.850)
Epoch: [65][4860/14090]	Time 0.722 (0.767)	Data 0.001 (0.002)	Loss 1.8847 (1.8759)	Prec@1 52.344 (51.138)	Prec@5 82.812 (80.850)
Epoch: [65][4870/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 1.8840 (1.8761)	Prec@1 49.219 (51.134)	Prec@5 85.156 (80.847)
Epoch: [65][4880/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 2.0349 (1.8761)	Prec@1 49.219 (51.131)	Prec@5 81.250 (80.850)
Epoch: [65][4890/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 1.7481 (1.8761)	Prec@1 55.469 (51.133)	Prec@5 82.031 (80.848)
Epoch: [65][4900/14090]	Time 0.725 (0.767)	Data 0.001 (0.002)	Loss 1.9703 (1.8760)	Prec@1 50.000 (51.136)	Prec@5 81.250 (80.853)
Epoch: [65][4910/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 1.6497 (1.8759)	Prec@1 57.812 (51.135)	Prec@5 82.812 (80.855)
Epoch: [65][4920/14090]	Time 0.919 (0.767)	Data 0.001 (0.002)	Loss 2.0019 (1.8758)	Prec@1 49.219 (51.136)	Prec@5 78.125 (80.858)
Epoch: [65][4930/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 1.6899 (1.8758)	Prec@1 58.594 (51.136)	Prec@5 86.719 (80.857)
Epoch: [65][4940/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 2.0305 (1.8758)	Prec@1 49.219 (51.138)	Prec@5 78.906 (80.856)
Epoch: [65][4950/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 1.9400 (1.8759)	Prec@1 56.250 (51.137)	Prec@5 78.906 (80.858)
Epoch: [65][4960/14090]	Time 0.760 (0.767)	Data 0.001 (0.002)	Loss 1.7570 (1.8760)	Prec@1 56.250 (51.134)	Prec@5 82.031 (80.854)
Epoch: [65][4970/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 2.0384 (1.8760)	Prec@1 50.781 (51.138)	Prec@5 77.344 (80.852)
Epoch: [65][4980/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 2.0415 (1.8761)	Prec@1 47.656 (51.134)	Prec@5 79.688 (80.853)
Epoch: [65][4990/14090]	Time 0.865 (0.767)	Data 0.001 (0.002)	Loss 2.0781 (1.8763)	Prec@1 46.094 (51.130)	Prec@5 79.688 (80.850)
Epoch: [65][5000/14090]	Time 0.761 (0.767)	Data 0.001 (0.002)	Loss 1.9994 (1.8763)	Prec@1 46.875 (51.131)	Prec@5 76.562 (80.850)
Epoch: [65][5010/14090]	Time 0.769 (0.767)	Data 0.001 (0.002)	Loss 1.9701 (1.8762)	Prec@1 51.562 (51.132)	Prec@5 78.906 (80.850)
Epoch: [65][5020/14090]	Time 0.726 (0.767)	Data 0.001 (0.002)	Loss 2.0710 (1.8762)	Prec@1 46.094 (51.133)	Prec@5 74.219 (80.848)
Epoch: [65][5030/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 2.0687 (1.8762)	Prec@1 50.000 (51.137)	Prec@5 77.344 (80.851)
Epoch: [65][5040/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 1.8923 (1.8762)	Prec@1 48.438 (51.136)	Prec@5 84.375 (80.851)
Epoch: [65][5050/14090]	Time 0.760 (0.767)	Data 0.003 (0.002)	Loss 2.1539 (1.8763)	Prec@1 45.312 (51.135)	Prec@5 75.781 (80.851)
Epoch: [65][5060/14090]	Time 0.904 (0.767)	Data 0.001 (0.002)	Loss 1.6678 (1.8762)	Prec@1 49.219 (51.139)	Prec@5 84.375 (80.853)
Epoch: [65][5070/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 2.1273 (1.8762)	Prec@1 47.656 (51.139)	Prec@5 78.906 (80.853)
Epoch: [65][5080/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 1.8565 (1.8761)	Prec@1 50.000 (51.143)	Prec@5 79.688 (80.853)
Epoch: [65][5090/14090]	Time 0.761 (0.767)	Data 0.001 (0.002)	Loss 1.8124 (1.8762)	Prec@1 50.000 (51.141)	Prec@5 79.688 (80.851)
Epoch: [65][5100/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 1.9597 (1.8761)	Prec@1 50.781 (51.144)	Prec@5 82.812 (80.853)
Epoch: [65][5110/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 2.2505 (1.8761)	Prec@1 44.531 (51.145)	Prec@5 75.000 (80.853)
Epoch: [65][5120/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 1.8299 (1.8761)	Prec@1 46.094 (51.148)	Prec@5 83.594 (80.852)
Epoch: [65][5130/14090]	Time 0.922 (0.767)	Data 0.001 (0.002)	Loss 1.9144 (1.8760)	Prec@1 46.094 (51.149)	Prec@5 77.344 (80.852)
Epoch: [65][5140/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 2.0219 (1.8761)	Prec@1 48.438 (51.149)	Prec@5 80.469 (80.849)
Epoch: [65][5150/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 1.7216 (1.8761)	Prec@1 52.344 (51.147)	Prec@5 85.156 (80.848)
Epoch: [65][5160/14090]	Time 0.784 (0.767)	Data 0.001 (0.002)	Loss 2.0460 (1.8762)	Prec@1 49.219 (51.143)	Prec@5 75.000 (80.846)
Epoch: [65][5170/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 1.9455 (1.8763)	Prec@1 46.875 (51.142)	Prec@5 78.906 (80.843)
Epoch: [65][5180/14090]	Time 0.724 (0.767)	Data 0.001 (0.002)	Loss 1.8629 (1.8764)	Prec@1 52.344 (51.144)	Prec@5 78.906 (80.841)
Epoch: [65][5190/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 1.9224 (1.8765)	Prec@1 50.000 (51.145)	Prec@5 78.125 (80.841)
Epoch: [65][5200/14090]	Time 0.866 (0.767)	Data 0.001 (0.002)	Loss 1.9924 (1.8766)	Prec@1 52.344 (51.145)	Prec@5 78.906 (80.839)
Epoch: [65][5210/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 2.0025 (1.8766)	Prec@1 50.781 (51.144)	Prec@5 77.344 (80.839)
Epoch: [65][5220/14090]	Time 0.724 (0.767)	Data 0.001 (0.002)	Loss 1.9719 (1.8767)	Prec@1 48.438 (51.140)	Prec@5 81.250 (80.838)
Epoch: [65][5230/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 1.7913 (1.8767)	Prec@1 54.688 (51.138)	Prec@5 80.469 (80.837)
Epoch: [65][5240/14090]	Time 0.778 (0.767)	Data 0.001 (0.002)	Loss 1.8892 (1.8766)	Prec@1 48.438 (51.137)	Prec@5 82.031 (80.839)
Epoch: [65][5250/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 1.7642 (1.8767)	Prec@1 55.469 (51.133)	Prec@5 80.469 (80.838)
Epoch: [65][5260/14090]	Time 0.762 (0.767)	Data 0.001 (0.002)	Loss 1.9803 (1.8768)	Prec@1 50.000 (51.131)	Prec@5 78.125 (80.838)
Epoch: [65][5270/14090]	Time 0.838 (0.767)	Data 0.001 (0.002)	Loss 1.8096 (1.8768)	Prec@1 51.562 (51.129)	Prec@5 82.031 (80.838)
Epoch: [65][5280/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 2.0783 (1.8769)	Prec@1 44.531 (51.126)	Prec@5 72.656 (80.835)
Epoch: [65][5290/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 1.7493 (1.8768)	Prec@1 53.125 (51.128)	Prec@5 82.812 (80.839)
Epoch: [65][5300/14090]	Time 0.757 (0.767)	Data 0.001 (0.002)	Loss 1.9300 (1.8767)	Prec@1 50.781 (51.127)	Prec@5 84.375 (80.843)
Epoch: [65][5310/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 2.2020 (1.8767)	Prec@1 42.969 (51.128)	Prec@5 74.219 (80.841)
Epoch: [65][5320/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 1.5664 (1.8767)	Prec@1 57.812 (51.125)	Prec@5 87.500 (80.842)
Epoch: [65][5330/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 1.6842 (1.8766)	Prec@1 55.469 (51.126)	Prec@5 86.719 (80.845)
Epoch: [65][5340/14090]	Time 0.911 (0.767)	Data 0.001 (0.002)	Loss 1.6950 (1.8767)	Prec@1 50.781 (51.127)	Prec@5 85.938 (80.845)
Epoch: [65][5350/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 1.9109 (1.8768)	Prec@1 47.656 (51.123)	Prec@5 82.031 (80.844)
Epoch: [65][5360/14090]	Time 0.727 (0.767)	Data 0.001 (0.002)	Loss 2.0710 (1.8770)	Prec@1 50.000 (51.119)	Prec@5 77.344 (80.841)
Epoch: [65][5370/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 1.9802 (1.8769)	Prec@1 50.000 (51.119)	Prec@5 78.906 (80.844)
Epoch: [65][5380/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 1.6302 (1.8769)	Prec@1 55.469 (51.122)	Prec@5 84.375 (80.843)
Epoch: [65][5390/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 1.9154 (1.8769)	Prec@1 51.562 (51.123)	Prec@5 81.250 (80.842)
Epoch: [65][5400/14090]	Time 0.778 (0.767)	Data 0.001 (0.002)	Loss 2.0031 (1.8770)	Prec@1 46.875 (51.123)	Prec@5 79.688 (80.841)
Epoch: [65][5410/14090]	Time 0.867 (0.767)	Data 0.001 (0.002)	Loss 1.9510 (1.8769)	Prec@1 50.781 (51.126)	Prec@5 82.031 (80.844)
Epoch: [65][5420/14090]	Time 0.778 (0.767)	Data 0.001 (0.002)	Loss 1.5896 (1.8767)	Prec@1 60.938 (51.134)	Prec@5 82.812 (80.846)
Epoch: [65][5430/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 1.7644 (1.8768)	Prec@1 48.438 (51.136)	Prec@5 85.938 (80.844)
Epoch: [65][5440/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 1.7534 (1.8768)	Prec@1 50.781 (51.135)	Prec@5 82.812 (80.842)
Epoch: [65][5450/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 1.9006 (1.8768)	Prec@1 50.781 (51.134)	Prec@5 82.031 (80.844)
Epoch: [65][5460/14090]	Time 0.724 (0.767)	Data 0.001 (0.002)	Loss 2.0218 (1.8769)	Prec@1 46.875 (51.134)	Prec@5 80.469 (80.843)
Epoch: [65][5470/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 1.7848 (1.8768)	Prec@1 52.344 (51.136)	Prec@5 85.156 (80.848)
Epoch: [65][5480/14090]	Time 0.863 (0.767)	Data 0.001 (0.002)	Loss 1.8478 (1.8768)	Prec@1 51.562 (51.133)	Prec@5 85.938 (80.847)
Epoch: [65][5490/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.0358 (1.8769)	Prec@1 50.000 (51.133)	Prec@5 79.688 (80.847)
Epoch: [65][5500/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 2.0003 (1.8767)	Prec@1 49.219 (51.140)	Prec@5 82.812 (80.850)
Epoch: [65][5510/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 1.7260 (1.8767)	Prec@1 51.562 (51.141)	Prec@5 88.281 (80.853)
Epoch: [65][5520/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 1.5433 (1.8766)	Prec@1 57.812 (51.146)	Prec@5 89.844 (80.856)
Epoch: [65][5530/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 1.6958 (1.8766)	Prec@1 54.688 (51.147)	Prec@5 87.500 (80.855)
Epoch: [65][5540/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 1.8299 (1.8767)	Prec@1 48.438 (51.142)	Prec@5 83.594 (80.854)
Epoch: [65][5550/14090]	Time 0.851 (0.767)	Data 0.001 (0.002)	Loss 1.8602 (1.8768)	Prec@1 50.781 (51.140)	Prec@5 82.812 (80.851)
Epoch: [65][5560/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 2.1051 (1.8768)	Prec@1 43.750 (51.139)	Prec@5 79.688 (80.851)
Epoch: [65][5570/14090]	Time 0.757 (0.767)	Data 0.001 (0.002)	Loss 1.6735 (1.8768)	Prec@1 57.031 (51.138)	Prec@5 87.500 (80.851)
Epoch: [65][5580/14090]	Time 0.726 (0.767)	Data 0.001 (0.002)	Loss 1.4742 (1.8767)	Prec@1 61.719 (51.142)	Prec@5 86.719 (80.856)
Epoch: [65][5590/14090]	Time 0.753 (0.767)	Data 0.002 (0.002)	Loss 1.9230 (1.8766)	Prec@1 49.219 (51.144)	Prec@5 78.906 (80.857)
Epoch: [65][5600/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 1.8049 (1.8766)	Prec@1 49.219 (51.141)	Prec@5 79.688 (80.856)
Epoch: [65][5610/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 1.9437 (1.8766)	Prec@1 52.344 (51.142)	Prec@5 78.125 (80.856)
Epoch: [65][5620/14090]	Time 0.871 (0.767)	Data 0.001 (0.002)	Loss 1.7105 (1.8765)	Prec@1 55.469 (51.140)	Prec@5 83.594 (80.858)
Epoch: [65][5630/14090]	Time 0.774 (0.767)	Data 0.001 (0.002)	Loss 1.9736 (1.8765)	Prec@1 48.438 (51.140)	Prec@5 78.906 (80.856)
Epoch: [65][5640/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 1.9259 (1.8765)	Prec@1 52.344 (51.142)	Prec@5 78.906 (80.856)
Epoch: [65][5650/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 1.7271 (1.8764)	Prec@1 57.031 (51.145)	Prec@5 84.375 (80.856)
Epoch: [65][5660/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.0388 (1.8764)	Prec@1 50.000 (51.143)	Prec@5 75.781 (80.856)
Epoch: [65][5670/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 1.8118 (1.8764)	Prec@1 46.875 (51.143)	Prec@5 82.812 (80.853)
Epoch: [65][5680/14090]	Time 0.781 (0.766)	Data 0.001 (0.002)	Loss 1.9430 (1.8764)	Prec@1 46.875 (51.146)	Prec@5 78.125 (80.852)
Epoch: [65][5690/14090]	Time 0.855 (0.766)	Data 0.001 (0.002)	Loss 1.9737 (1.8763)	Prec@1 46.875 (51.148)	Prec@5 76.562 (80.854)
Epoch: [65][5700/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 1.9959 (1.8764)	Prec@1 46.094 (51.149)	Prec@5 78.906 (80.851)
Epoch: [65][5710/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 1.8783 (1.8765)	Prec@1 54.688 (51.148)	Prec@5 82.031 (80.851)
Epoch: [65][5720/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 1.6632 (1.8765)	Prec@1 53.906 (51.146)	Prec@5 84.375 (80.851)
Epoch: [65][5730/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 1.4809 (1.8766)	Prec@1 58.594 (51.146)	Prec@5 82.031 (80.849)
Epoch: [65][5740/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 1.8838 (1.8765)	Prec@1 53.125 (51.148)	Prec@5 77.344 (80.846)
Epoch: [65][5750/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 1.7073 (1.8764)	Prec@1 50.781 (51.149)	Prec@5 87.500 (80.849)
Epoch: [65][5760/14090]	Time 0.863 (0.767)	Data 0.001 (0.002)	Loss 2.2922 (1.8764)	Prec@1 47.656 (51.151)	Prec@5 71.875 (80.846)
Epoch: [65][5770/14090]	Time 0.727 (0.767)	Data 0.001 (0.002)	Loss 2.1692 (1.8766)	Prec@1 42.188 (51.148)	Prec@5 77.344 (80.845)
Epoch: [65][5780/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 1.7901 (1.8766)	Prec@1 50.000 (51.148)	Prec@5 82.812 (80.843)
Epoch: [65][5790/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 1.8675 (1.8766)	Prec@1 50.781 (51.147)	Prec@5 82.812 (80.844)
Epoch: [65][5800/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 1.7801 (1.8765)	Prec@1 53.125 (51.150)	Prec@5 82.812 (80.845)
Epoch: [65][5810/14090]	Time 0.761 (0.767)	Data 0.001 (0.002)	Loss 2.0568 (1.8765)	Prec@1 50.000 (51.150)	Prec@5 76.562 (80.845)
Epoch: [65][5820/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 2.2079 (1.8765)	Prec@1 42.969 (51.150)	Prec@5 71.875 (80.845)
Epoch: [65][5830/14090]	Time 0.863 (0.766)	Data 0.001 (0.002)	Loss 1.9835 (1.8765)	Prec@1 52.344 (51.150)	Prec@5 82.812 (80.845)
Epoch: [65][5840/14090]	Time 0.765 (0.766)	Data 0.001 (0.002)	Loss 2.0884 (1.8765)	Prec@1 47.656 (51.146)	Prec@5 74.219 (80.843)
Epoch: [65][5850/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 1.8199 (1.8766)	Prec@1 49.219 (51.142)	Prec@5 82.812 (80.842)
Epoch: [65][5860/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 1.8210 (1.8765)	Prec@1 50.000 (51.143)	Prec@5 82.812 (80.842)
Epoch: [65][5870/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 2.0410 (1.8766)	Prec@1 49.219 (51.143)	Prec@5 77.344 (80.842)
Epoch: [65][5880/14090]	Time 0.725 (0.766)	Data 0.001 (0.002)	Loss 2.0471 (1.8765)	Prec@1 46.094 (51.146)	Prec@5 78.906 (80.844)
Epoch: [65][5890/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 1.8854 (1.8765)	Prec@1 50.000 (51.145)	Prec@5 80.469 (80.846)
Epoch: [65][5900/14090]	Time 0.940 (0.766)	Data 0.001 (0.002)	Loss 1.8343 (1.8764)	Prec@1 50.000 (51.147)	Prec@5 82.812 (80.848)
Epoch: [65][5910/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 1.7585 (1.8765)	Prec@1 51.562 (51.146)	Prec@5 84.375 (80.844)
Epoch: [65][5920/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 1.8459 (1.8765)	Prec@1 50.781 (51.146)	Prec@5 83.594 (80.846)
Epoch: [65][5930/14090]	Time 0.768 (0.766)	Data 0.001 (0.002)	Loss 1.9737 (1.8765)	Prec@1 44.531 (51.145)	Prec@5 82.031 (80.844)
Epoch: [65][5940/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 1.9990 (1.8766)	Prec@1 50.781 (51.144)	Prec@5 80.469 (80.840)
Epoch: [65][5950/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 1.7014 (1.8766)	Prec@1 58.594 (51.144)	Prec@5 85.156 (80.841)
Epoch: [65][5960/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 2.0726 (1.8767)	Prec@1 45.312 (51.143)	Prec@5 78.906 (80.841)
Epoch: [65][5970/14090]	Time 0.901 (0.766)	Data 0.001 (0.002)	Loss 1.8785 (1.8767)	Prec@1 56.250 (51.146)	Prec@5 78.906 (80.840)
Epoch: [65][5980/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 1.7819 (1.8768)	Prec@1 49.219 (51.143)	Prec@5 78.906 (80.835)
Epoch: [65][5990/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 2.0132 (1.8769)	Prec@1 52.344 (51.144)	Prec@5 75.000 (80.834)
Epoch: [65][6000/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 1.8680 (1.8770)	Prec@1 52.344 (51.144)	Prec@5 76.562 (80.830)
Epoch: [65][6010/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 1.9462 (1.8769)	Prec@1 51.562 (51.143)	Prec@5 79.688 (80.832)
Epoch: [65][6020/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 1.7164 (1.8769)	Prec@1 55.469 (51.142)	Prec@5 84.375 (80.834)
Epoch: [65][6030/14090]	Time 0.765 (0.766)	Data 0.001 (0.002)	Loss 1.5737 (1.8768)	Prec@1 60.156 (51.145)	Prec@5 82.031 (80.836)
Epoch: [65][6040/14090]	Time 0.848 (0.766)	Data 0.001 (0.002)	Loss 1.8680 (1.8768)	Prec@1 51.562 (51.144)	Prec@5 82.031 (80.834)
Epoch: [65][6050/14090]	Time 0.728 (0.766)	Data 0.001 (0.002)	Loss 1.7778 (1.8768)	Prec@1 53.125 (51.143)	Prec@5 79.688 (80.835)
Epoch: [65][6060/14090]	Time 0.722 (0.766)	Data 0.001 (0.002)	Loss 1.8552 (1.8768)	Prec@1 52.344 (51.146)	Prec@5 80.469 (80.835)
Epoch: [65][6070/14090]	Time 0.787 (0.766)	Data 0.001 (0.002)	Loss 1.8239 (1.8769)	Prec@1 57.812 (51.144)	Prec@5 75.781 (80.832)
Epoch: [65][6080/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.0711 (1.8769)	Prec@1 44.531 (51.143)	Prec@5 77.344 (80.831)
Epoch: [65][6090/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 1.8189 (1.8769)	Prec@1 47.656 (51.142)	Prec@5 80.469 (80.830)
Epoch: [65][6100/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 1.8110 (1.8769)	Prec@1 46.875 (51.139)	Prec@5 80.469 (80.832)
Epoch: [65][6110/14090]	Time 0.876 (0.766)	Data 0.001 (0.002)	Loss 1.7706 (1.8769)	Prec@1 57.812 (51.140)	Prec@5 78.906 (80.832)
Epoch: [65][6120/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 1.8887 (1.8770)	Prec@1 46.094 (51.136)	Prec@5 82.031 (80.833)
Epoch: [65][6130/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 2.0368 (1.8770)	Prec@1 46.094 (51.137)	Prec@5 75.781 (80.832)
Epoch: [65][6140/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 2.0961 (1.8771)	Prec@1 44.531 (51.132)	Prec@5 77.344 (80.829)
Epoch: [65][6150/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 1.6033 (1.8773)	Prec@1 61.719 (51.131)	Prec@5 86.719 (80.827)
Epoch: [65][6160/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 1.7533 (1.8774)	Prec@1 53.906 (51.129)	Prec@5 86.719 (80.825)
Epoch: [65][6170/14090]	Time 0.780 (0.766)	Data 0.001 (0.002)	Loss 1.9642 (1.8773)	Prec@1 50.781 (51.130)	Prec@5 77.344 (80.826)
Epoch: [65][6180/14090]	Time 0.837 (0.766)	Data 0.001 (0.002)	Loss 1.8968 (1.8773)	Prec@1 52.344 (51.132)	Prec@5 77.344 (80.825)
Epoch: [65][6190/14090]	Time 0.726 (0.766)	Data 0.001 (0.002)	Loss 1.7608 (1.8774)	Prec@1 53.125 (51.132)	Prec@5 82.812 (80.825)
Epoch: [65][6200/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 1.7423 (1.8773)	Prec@1 51.562 (51.133)	Prec@5 78.906 (80.829)
Epoch: [65][6210/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 1.9173 (1.8772)	Prec@1 50.781 (51.135)	Prec@5 80.469 (80.830)
Epoch: [65][6220/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 1.7850 (1.8773)	Prec@1 50.781 (51.132)	Prec@5 80.469 (80.830)
Epoch: [65][6230/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 1.7313 (1.8773)	Prec@1 52.344 (51.134)	Prec@5 84.375 (80.829)
Epoch: [65][6240/14090]	Time 0.776 (0.766)	Data 0.001 (0.002)	Loss 1.7938 (1.8773)	Prec@1 52.344 (51.135)	Prec@5 81.250 (80.830)
Epoch: [65][6250/14090]	Time 0.850 (0.766)	Data 0.001 (0.002)	Loss 1.6752 (1.8773)	Prec@1 52.344 (51.135)	Prec@5 83.594 (80.831)
Epoch: [65][6260/14090]	Time 0.724 (0.766)	Data 0.001 (0.002)	Loss 1.8006 (1.8773)	Prec@1 50.000 (51.133)	Prec@5 82.031 (80.830)
Epoch: [65][6270/14090]	Time 0.764 (0.766)	Data 0.001 (0.002)	Loss 1.8458 (1.8774)	Prec@1 54.688 (51.132)	Prec@5 79.688 (80.828)
Epoch: [65][6280/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 1.9879 (1.8774)	Prec@1 47.656 (51.134)	Prec@5 81.250 (80.827)
Epoch: [65][6290/14090]	Time 0.768 (0.766)	Data 0.001 (0.002)	Loss 1.9802 (1.8773)	Prec@1 49.219 (51.137)	Prec@5 79.688 (80.827)
Epoch: [65][6300/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 1.6195 (1.8773)	Prec@1 51.562 (51.135)	Prec@5 89.062 (80.827)
Epoch: [65][6310/14090]	Time 0.765 (0.766)	Data 0.001 (0.002)	Loss 1.5311 (1.8771)	Prec@1 59.375 (51.139)	Prec@5 85.938 (80.830)
Epoch: [65][6320/14090]	Time 0.866 (0.766)	Data 0.001 (0.002)	Loss 1.8163 (1.8771)	Prec@1 51.562 (51.138)	Prec@5 79.688 (80.832)
Epoch: [65][6330/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 1.8513 (1.8771)	Prec@1 43.750 (51.137)	Prec@5 85.156 (80.833)
Epoch: [65][6340/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 2.0157 (1.8772)	Prec@1 48.438 (51.135)	Prec@5 81.250 (80.830)
Epoch: [65][6350/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 2.0739 (1.8772)	Prec@1 49.219 (51.135)	Prec@5 76.562 (80.831)
Epoch: [65][6360/14090]	Time 0.766 (0.766)	Data 0.001 (0.002)	Loss 1.7089 (1.8772)	Prec@1 54.688 (51.138)	Prec@5 84.375 (80.831)
Epoch: [65][6370/14090]	Time 0.766 (0.766)	Data 0.001 (0.002)	Loss 1.9322 (1.8771)	Prec@1 50.781 (51.140)	Prec@5 82.031 (80.831)
Epoch: [65][6380/14090]	Time 0.723 (0.766)	Data 0.001 (0.002)	Loss 1.8727 (1.8772)	Prec@1 50.781 (51.137)	Prec@5 84.375 (80.831)
Epoch: [65][6390/14090]	Time 0.875 (0.766)	Data 0.001 (0.002)	Loss 1.7972 (1.8772)	Prec@1 50.781 (51.136)	Prec@5 80.469 (80.831)
Epoch: [65][6400/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 1.8063 (1.8772)	Prec@1 52.344 (51.134)	Prec@5 80.469 (80.830)
Epoch: [65][6410/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 1.6614 (1.8772)	Prec@1 53.906 (51.135)	Prec@5 90.625 (80.834)
Epoch: [65][6420/14090]	Time 0.763 (0.766)	Data 0.001 (0.002)	Loss 1.8770 (1.8771)	Prec@1 53.125 (51.138)	Prec@5 82.031 (80.835)
Epoch: [65][6430/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 1.9889 (1.8769)	Prec@1 47.656 (51.141)	Prec@5 77.344 (80.837)
Epoch: [65][6440/14090]	Time 0.772 (0.766)	Data 0.001 (0.002)	Loss 1.7946 (1.8770)	Prec@1 57.812 (51.140)	Prec@5 81.250 (80.837)
Epoch: [65][6450/14090]	Time 0.727 (0.766)	Data 0.001 (0.002)	Loss 1.8640 (1.8771)	Prec@1 47.656 (51.136)	Prec@5 85.156 (80.835)
Epoch: [65][6460/14090]	Time 0.885 (0.766)	Data 0.001 (0.002)	Loss 1.7767 (1.8771)	Prec@1 54.688 (51.138)	Prec@5 85.156 (80.835)
Epoch: [65][6470/14090]	Time 0.725 (0.766)	Data 0.001 (0.002)	Loss 1.8429 (1.8771)	Prec@1 47.656 (51.135)	Prec@5 82.031 (80.835)
Epoch: [65][6480/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 1.8306 (1.8771)	Prec@1 51.562 (51.135)	Prec@5 84.375 (80.835)
Epoch: [65][6490/14090]	Time 0.723 (0.766)	Data 0.001 (0.002)	Loss 1.8815 (1.8770)	Prec@1 51.562 (51.139)	Prec@5 78.906 (80.836)
Epoch: [65][6500/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 1.9117 (1.8771)	Prec@1 50.781 (51.138)	Prec@5 78.906 (80.835)
Epoch: [65][6510/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 1.4512 (1.8770)	Prec@1 64.062 (51.141)	Prec@5 84.375 (80.836)
Epoch: [65][6520/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 1.9201 (1.8769)	Prec@1 50.000 (51.143)	Prec@5 82.031 (80.839)
Epoch: [65][6530/14090]	Time 0.905 (0.766)	Data 0.001 (0.002)	Loss 1.7746 (1.8769)	Prec@1 55.469 (51.144)	Prec@5 81.250 (80.837)
Epoch: [65][6540/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.1821 (1.8769)	Prec@1 46.875 (51.140)	Prec@5 73.438 (80.837)
Epoch: [65][6550/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 1.7794 (1.8769)	Prec@1 50.781 (51.141)	Prec@5 82.812 (80.837)
Epoch: [65][6560/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 1.6373 (1.8770)	Prec@1 53.906 (51.138)	Prec@5 82.031 (80.834)
Epoch: [65][6570/14090]	Time 0.772 (0.766)	Data 0.001 (0.002)	Loss 1.8113 (1.8769)	Prec@1 57.031 (51.139)	Prec@5 83.594 (80.836)
Epoch: [65][6580/14090]	Time 0.718 (0.766)	Data 0.001 (0.002)	Loss 1.8594 (1.8769)	Prec@1 53.906 (51.139)	Prec@5 78.906 (80.837)
Epoch: [65][6590/14090]	Time 0.781 (0.766)	Data 0.001 (0.002)	Loss 1.7291 (1.8769)	Prec@1 62.500 (51.141)	Prec@5 83.594 (80.836)
Epoch: [65][6600/14090]	Time 0.834 (0.766)	Data 0.001 (0.002)	Loss 2.1848 (1.8769)	Prec@1 45.312 (51.140)	Prec@5 75.781 (80.837)
Epoch: [65][6610/14090]	Time 0.744 (0.766)	Data 0.002 (0.002)	Loss 1.8091 (1.8768)	Prec@1 48.438 (51.138)	Prec@5 85.938 (80.840)
Epoch: [65][6620/14090]	Time 0.720 (0.766)	Data 0.001 (0.002)	Loss 1.9542 (1.8769)	Prec@1 52.344 (51.137)	Prec@5 82.031 (80.839)
Epoch: [65][6630/14090]	Time 0.773 (0.766)	Data 0.001 (0.002)	Loss 1.8055 (1.8770)	Prec@1 53.125 (51.135)	Prec@5 79.688 (80.835)
Epoch: [65][6640/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 1.8601 (1.8768)	Prec@1 53.906 (51.136)	Prec@5 77.344 (80.837)
Epoch: [65][6650/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 1.9018 (1.8767)	Prec@1 48.438 (51.137)	Prec@5 81.250 (80.839)
Epoch: [65][6660/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 1.9347 (1.8768)	Prec@1 47.656 (51.138)	Prec@5 82.031 (80.837)
Epoch: [65][6670/14090]	Time 0.831 (0.766)	Data 0.001 (0.002)	Loss 2.0268 (1.8767)	Prec@1 40.625 (51.139)	Prec@5 81.250 (80.838)
Epoch: [65][6680/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 1.7864 (1.8767)	Prec@1 52.344 (51.138)	Prec@5 85.938 (80.841)
Epoch: [65][6690/14090]	Time 0.771 (0.766)	Data 0.001 (0.002)	Loss 1.9500 (1.8767)	Prec@1 50.000 (51.137)	Prec@5 75.781 (80.838)
Epoch: [65][6700/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 2.0692 (1.8768)	Prec@1 40.625 (51.134)	Prec@5 77.344 (80.838)
Epoch: [65][6710/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.1287 (1.8768)	Prec@1 42.188 (51.132)	Prec@5 77.344 (80.840)
Epoch: [65][6720/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 1.8685 (1.8769)	Prec@1 53.125 (51.126)	Prec@5 77.344 (80.839)
Epoch: [65][6730/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 1.7284 (1.8768)	Prec@1 50.781 (51.129)	Prec@5 83.594 (80.840)
Epoch: [65][6740/14090]	Time 0.895 (0.766)	Data 0.001 (0.002)	Loss 2.0743 (1.8768)	Prec@1 46.094 (51.131)	Prec@5 77.344 (80.839)
Epoch: [65][6750/14090]	Time 0.767 (0.766)	Data 0.001 (0.002)	Loss 2.0045 (1.8768)	Prec@1 49.219 (51.133)	Prec@5 78.906 (80.840)
Epoch: [65][6760/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 1.5752 (1.8767)	Prec@1 56.250 (51.137)	Prec@5 85.156 (80.842)
Epoch: [65][6770/14090]	Time 0.766 (0.766)	Data 0.001 (0.002)	Loss 1.6292 (1.8767)	Prec@1 57.812 (51.138)	Prec@5 84.375 (80.841)
Epoch: [65][6780/14090]	Time 0.798 (0.766)	Data 0.001 (0.002)	Loss 1.9691 (1.8767)	Prec@1 46.875 (51.137)	Prec@5 81.250 (80.840)
Epoch: [65][6790/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 1.6461 (1.8767)	Prec@1 53.125 (51.138)	Prec@5 87.500 (80.843)
Epoch: [65][6800/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 1.9337 (1.8767)	Prec@1 52.344 (51.139)	Prec@5 78.906 (80.843)
Epoch: [65][6810/14090]	Time 0.860 (0.766)	Data 0.001 (0.002)	Loss 2.0438 (1.8767)	Prec@1 49.219 (51.138)	Prec@5 81.250 (80.842)
Epoch: [65][6820/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.2304 (1.8767)	Prec@1 48.438 (51.139)	Prec@5 71.875 (80.841)
Epoch: [65][6830/14090]	Time 0.763 (0.766)	Data 0.001 (0.002)	Loss 2.2422 (1.8768)	Prec@1 42.188 (51.139)	Prec@5 76.562 (80.841)
Epoch: [65][6840/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 1.6915 (1.8768)	Prec@1 57.031 (51.140)	Prec@5 84.375 (80.841)
Epoch: [65][6850/14090]	Time 0.732 (0.766)	Data 0.004 (0.002)	Loss 2.0264 (1.8769)	Prec@1 47.656 (51.139)	Prec@5 76.562 (80.840)
Epoch: [65][6860/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 1.6874 (1.8769)	Prec@1 59.375 (51.137)	Prec@5 79.688 (80.838)
Epoch: [65][6870/14090]	Time 0.742 (0.766)	Data 0.002 (0.002)	Loss 2.0240 (1.8769)	Prec@1 47.656 (51.139)	Prec@5 78.125 (80.840)
Epoch: [65][6880/14090]	Time 0.853 (0.766)	Data 0.001 (0.002)	Loss 1.7337 (1.8770)	Prec@1 53.906 (51.136)	Prec@5 78.906 (80.839)
Epoch: [65][6890/14090]	Time 0.726 (0.766)	Data 0.002 (0.002)	Loss 1.8651 (1.8771)	Prec@1 53.125 (51.133)	Prec@5 81.250 (80.835)
Epoch: [65][6900/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.0548 (1.8772)	Prec@1 47.656 (51.131)	Prec@5 78.125 (80.834)
Epoch: [65][6910/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 1.7469 (1.8773)	Prec@1 54.688 (51.132)	Prec@5 83.594 (80.832)
Epoch: [65][6920/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 1.8237 (1.8773)	Prec@1 50.000 (51.129)	Prec@5 82.031 (80.831)
Epoch: [65][6930/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 1.8794 (1.8773)	Prec@1 46.875 (51.129)	Prec@5 84.375 (80.832)
Epoch: [65][6940/14090]	Time 0.771 (0.766)	Data 0.001 (0.002)	Loss 1.7714 (1.8773)	Prec@1 56.250 (51.129)	Prec@5 82.812 (80.835)
Epoch: [65][6950/14090]	Time 0.943 (0.766)	Data 0.001 (0.002)	Loss 1.7280 (1.8773)	Prec@1 58.594 (51.130)	Prec@5 82.031 (80.834)
Epoch: [65][6960/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 1.6716 (1.8772)	Prec@1 56.250 (51.131)	Prec@5 85.156 (80.835)
Epoch: [65][6970/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 1.8794 (1.8772)	Prec@1 52.344 (51.130)	Prec@5 76.562 (80.835)
Epoch: [65][6980/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 1.9728 (1.8771)	Prec@1 46.875 (51.128)	Prec@5 80.469 (80.836)
Epoch: [65][6990/14090]	Time 0.766 (0.766)	Data 0.001 (0.002)	Loss 1.8994 (1.8772)	Prec@1 51.562 (51.126)	Prec@5 81.250 (80.836)
Epoch: [65][7000/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 1.8002 (1.8772)	Prec@1 50.000 (51.123)	Prec@5 84.375 (80.835)
Epoch: [65][7010/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 1.8185 (1.8772)	Prec@1 53.906 (51.124)	Prec@5 78.125 (80.837)
Epoch: [65][7020/14090]	Time 0.851 (0.766)	Data 0.001 (0.002)	Loss 1.6477 (1.8772)	Prec@1 56.250 (51.125)	Prec@5 84.375 (80.837)
Epoch: [65][7030/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 1.6820 (1.8771)	Prec@1 55.469 (51.126)	Prec@5 81.250 (80.838)
Epoch: [65][7040/14090]	Time 0.727 (0.766)	Data 0.001 (0.002)	Loss 2.0094 (1.8771)	Prec@1 46.875 (51.125)	Prec@5 75.781 (80.838)
Epoch: [65][7050/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 1.7381 (1.8770)	Prec@1 53.125 (51.126)	Prec@5 84.375 (80.842)
Epoch: [65][7060/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 2.0947 (1.8770)	Prec@1 47.656 (51.126)	Prec@5 76.562 (80.840)
Epoch: [65][7070/14090]	Time 0.727 (0.766)	Data 0.001 (0.002)	Loss 2.0195 (1.8770)	Prec@1 43.750 (51.127)	Prec@5 79.688 (80.841)
Epoch: [65][7080/14090]	Time 0.763 (0.766)	Data 0.001 (0.002)	Loss 2.0114 (1.8770)	Prec@1 49.219 (51.124)	Prec@5 78.125 (80.840)
Epoch: [65][7090/14090]	Time 0.868 (0.766)	Data 0.001 (0.002)	Loss 1.8215 (1.8771)	Prec@1 44.531 (51.123)	Prec@5 81.250 (80.838)
Epoch: [65][7100/14090]	Time 0.722 (0.766)	Data 0.001 (0.002)	Loss 1.5964 (1.8770)	Prec@1 58.594 (51.125)	Prec@5 85.938 (80.840)
Epoch: [65][7110/14090]	Time 0.763 (0.766)	Data 0.001 (0.002)	Loss 1.8873 (1.8769)	Prec@1 54.688 (51.128)	Prec@5 80.469 (80.842)
Epoch: [65][7120/14090]	Time 0.780 (0.766)	Data 0.002 (0.002)	Loss 1.7192 (1.8769)	Prec@1 57.031 (51.128)	Prec@5 83.594 (80.843)
Epoch: [65][7130/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 1.9932 (1.8769)	Prec@1 53.125 (51.128)	Prec@5 78.125 (80.843)
Epoch: [65][7140/14090]	Time 0.768 (0.766)	Data 0.001 (0.002)	Loss 1.7589 (1.8769)	Prec@1 54.688 (51.127)	Prec@5 82.812 (80.842)
Epoch: [65][7150/14090]	Time 0.781 (0.766)	Data 0.001 (0.002)	Loss 1.6651 (1.8769)	Prec@1 54.688 (51.128)	Prec@5 82.812 (80.842)
Epoch: [65][7160/14090]	Time 0.871 (0.766)	Data 0.001 (0.002)	Loss 1.9362 (1.8769)	Prec@1 50.781 (51.129)	Prec@5 78.906 (80.841)
Epoch: [65][7170/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 1.8679 (1.8768)	Prec@1 57.031 (51.132)	Prec@5 81.250 (80.842)
Epoch: [65][7180/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 1.9782 (1.8768)	Prec@1 50.781 (51.131)	Prec@5 78.906 (80.842)
Epoch: [65][7190/14090]	Time 0.722 (0.766)	Data 0.001 (0.002)	Loss 1.8872 (1.8767)	Prec@1 46.094 (51.132)	Prec@5 81.250 (80.844)
Epoch: [65][7200/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 1.9146 (1.8766)	Prec@1 51.562 (51.133)	Prec@5 81.250 (80.845)
Epoch: [65][7210/14090]	Time 0.764 (0.766)	Data 0.001 (0.002)	Loss 1.7280 (1.8767)	Prec@1 55.469 (51.134)	Prec@5 86.719 (80.845)
Epoch: [65][7220/14090]	Time 0.726 (0.766)	Data 0.001 (0.002)	Loss 1.9084 (1.8766)	Prec@1 44.531 (51.134)	Prec@5 82.812 (80.847)
Epoch: [65][7230/14090]	Time 0.862 (0.766)	Data 0.001 (0.002)	Loss 2.0021 (1.8766)	Prec@1 51.562 (51.134)	Prec@5 81.250 (80.846)
Epoch: [65][7240/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 1.8702 (1.8766)	Prec@1 52.344 (51.134)	Prec@5 77.344 (80.849)
Epoch: [65][7250/14090]	Time 0.763 (0.766)	Data 0.001 (0.002)	Loss 1.8993 (1.8765)	Prec@1 52.344 (51.136)	Prec@5 82.031 (80.851)
Epoch: [65][7260/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 1.7622 (1.8764)	Prec@1 56.250 (51.139)	Prec@5 79.688 (80.851)
Epoch: [65][7270/14090]	Time 0.764 (0.766)	Data 0.001 (0.002)	Loss 1.7725 (1.8764)	Prec@1 51.562 (51.139)	Prec@5 85.156 (80.852)
Epoch: [65][7280/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.0012 (1.8764)	Prec@1 47.656 (51.141)	Prec@5 78.125 (80.850)
Epoch: [65][7290/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 1.9070 (1.8764)	Prec@1 57.031 (51.142)	Prec@5 79.688 (80.851)
Epoch: [65][7300/14090]	Time 0.894 (0.766)	Data 0.001 (0.002)	Loss 1.8591 (1.8764)	Prec@1 49.219 (51.140)	Prec@5 78.906 (80.851)
Epoch: [65][7310/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 1.6648 (1.8765)	Prec@1 60.156 (51.138)	Prec@5 84.375 (80.850)
Epoch: [65][7320/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 1.8763 (1.8764)	Prec@1 46.875 (51.139)	Prec@5 85.938 (80.850)
Epoch: [65][7330/14090]	Time 0.724 (0.766)	Data 0.001 (0.002)	Loss 1.8967 (1.8764)	Prec@1 53.125 (51.142)	Prec@5 81.250 (80.850)
Epoch: [65][7340/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.0109 (1.8765)	Prec@1 48.438 (51.138)	Prec@5 79.688 (80.847)
Epoch: [65][7350/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 1.7138 (1.8765)	Prec@1 57.812 (51.139)	Prec@5 83.594 (80.847)
Epoch: [65][7360/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 2.1269 (1.8765)	Prec@1 48.438 (51.139)	Prec@5 80.469 (80.846)
Epoch: [65][7370/14090]	Time 0.870 (0.766)	Data 0.001 (0.002)	Loss 2.1482 (1.8766)	Prec@1 43.750 (51.137)	Prec@5 75.781 (80.843)
Epoch: [65][7380/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 1.7260 (1.8766)	Prec@1 57.031 (51.138)	Prec@5 82.812 (80.845)
Epoch: [65][7390/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 1.8554 (1.8767)	Prec@1 53.125 (51.136)	Prec@5 76.562 (80.843)
Epoch: [65][7400/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 1.8199 (1.8766)	Prec@1 47.656 (51.135)	Prec@5 84.375 (80.845)
Epoch: [65][7410/14090]	Time 0.763 (0.766)	Data 0.001 (0.002)	Loss 1.8474 (1.8765)	Prec@1 50.781 (51.136)	Prec@5 81.250 (80.846)
Epoch: [65][7420/14090]	Time 0.758 (0.766)	Data 0.004 (0.002)	Loss 1.9192 (1.8765)	Prec@1 45.312 (51.136)	Prec@5 81.250 (80.846)
Epoch: [65][7430/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 1.7685 (1.8765)	Prec@1 53.125 (51.135)	Prec@5 83.594 (80.846)
Epoch: [65][7440/14090]	Time 0.970 (0.766)	Data 0.001 (0.002)	Loss 1.8565 (1.8766)	Prec@1 50.781 (51.135)	Prec@5 80.469 (80.844)
Epoch: [65][7450/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.0790 (1.8767)	Prec@1 51.562 (51.134)	Prec@5 76.562 (80.842)
Epoch: [65][7460/14090]	Time 0.727 (0.766)	Data 0.001 (0.002)	Loss 1.5342 (1.8766)	Prec@1 57.031 (51.136)	Prec@5 84.375 (80.842)
Epoch: [65][7470/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 2.0132 (1.8766)	Prec@1 46.094 (51.134)	Prec@5 75.000 (80.841)
Epoch: [65][7480/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 1.5636 (1.8765)	Prec@1 60.938 (51.135)	Prec@5 85.156 (80.844)
Epoch: [65][7490/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.1389 (1.8765)	Prec@1 46.094 (51.136)	Prec@5 78.906 (80.843)
Epoch: [65][7500/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 1.9525 (1.8764)	Prec@1 53.125 (51.139)	Prec@5 81.250 (80.844)
Epoch: [65][7510/14090]	Time 0.846 (0.766)	Data 0.001 (0.002)	Loss 1.9583 (1.8764)	Prec@1 42.969 (51.139)	Prec@5 83.594 (80.844)
Epoch: [65][7520/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 1.9355 (1.8765)	Prec@1 53.906 (51.135)	Prec@5 78.125 (80.843)
Epoch: [65][7530/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 1.9579 (1.8765)	Prec@1 52.344 (51.134)	Prec@5 78.125 (80.843)
Epoch: [65][7540/14090]	Time 0.725 (0.766)	Data 0.001 (0.002)	Loss 1.8307 (1.8764)	Prec@1 57.031 (51.137)	Prec@5 82.031 (80.846)
Epoch: [65][7550/14090]	Time 0.765 (0.766)	Data 0.001 (0.002)	Loss 1.9286 (1.8763)	Prec@1 48.438 (51.139)	Prec@5 80.469 (80.846)
Epoch: [65][7560/14090]	Time 0.763 (0.766)	Data 0.001 (0.002)	Loss 2.0257 (1.8762)	Prec@1 46.875 (51.140)	Prec@5 82.031 (80.848)
Epoch: [65][7570/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 2.1590 (1.8763)	Prec@1 44.531 (51.139)	Prec@5 73.438 (80.846)
Epoch: [65][7580/14090]	Time 0.878 (0.766)	Data 0.001 (0.002)	Loss 1.7976 (1.8763)	Prec@1 53.125 (51.139)	Prec@5 82.812 (80.846)
Epoch: [65][7590/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 1.7779 (1.8764)	Prec@1 52.344 (51.138)	Prec@5 84.375 (80.845)
Epoch: [65][7600/14090]	Time 0.776 (0.766)	Data 0.001 (0.002)	Loss 2.0697 (1.8764)	Prec@1 48.438 (51.137)	Prec@5 82.031 (80.845)
Epoch: [65][7610/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.1853 (1.8766)	Prec@1 45.312 (51.135)	Prec@5 75.781 (80.842)
Epoch: [65][7620/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 1.9904 (1.8764)	Prec@1 47.656 (51.138)	Prec@5 78.125 (80.845)
Epoch: [65][7630/14090]	Time 0.726 (0.766)	Data 0.001 (0.002)	Loss 2.1854 (1.8764)	Prec@1 46.094 (51.137)	Prec@5 78.906 (80.846)
Epoch: [65][7640/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 1.8164 (1.8765)	Prec@1 53.125 (51.136)	Prec@5 82.812 (80.844)
Epoch: [65][7650/14090]	Time 0.862 (0.766)	Data 0.001 (0.002)	Loss 2.1127 (1.8763)	Prec@1 51.562 (51.139)	Prec@5 76.562 (80.845)
Epoch: [65][7660/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 1.7749 (1.8763)	Prec@1 55.469 (51.141)	Prec@5 83.594 (80.846)
Epoch: [65][7670/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 1.9551 (1.8763)	Prec@1 48.438 (51.140)	Prec@5 79.688 (80.847)
Epoch: [65][7680/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.0808 (1.8763)	Prec@1 48.438 (51.141)	Prec@5 75.000 (80.847)
Epoch: [65][7690/14090]	Time 0.723 (0.766)	Data 0.001 (0.002)	Loss 1.9888 (1.8763)	Prec@1 50.781 (51.141)	Prec@5 80.469 (80.846)
Epoch: [65][7700/14090]	Time 0.765 (0.766)	Data 0.001 (0.002)	Loss 1.7585 (1.8762)	Prec@1 51.562 (51.141)	Prec@5 82.812 (80.847)
Epoch: [65][7710/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 2.1254 (1.8762)	Prec@1 50.000 (51.141)	Prec@5 79.688 (80.847)
Epoch: [65][7720/14090]	Time 0.844 (0.766)	Data 0.001 (0.002)	Loss 1.9395 (1.8761)	Prec@1 51.562 (51.143)	Prec@5 78.906 (80.849)
Epoch: [65][7730/14090]	Time 0.721 (0.766)	Data 0.001 (0.002)	Loss 1.8560 (1.8761)	Prec@1 51.562 (51.144)	Prec@5 78.125 (80.849)
Epoch: [65][7740/14090]	Time 0.727 (0.766)	Data 0.001 (0.002)	Loss 1.7678 (1.8762)	Prec@1 55.469 (51.142)	Prec@5 81.250 (80.848)
Epoch: [65][7750/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 2.0017 (1.8762)	Prec@1 54.688 (51.143)	Prec@5 78.906 (80.847)
Epoch: [65][7760/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 1.8401 (1.8763)	Prec@1 45.312 (51.140)	Prec@5 82.031 (80.844)
Epoch: [65][7770/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 1.8554 (1.8763)	Prec@1 48.438 (51.141)	Prec@5 79.688 (80.844)
Epoch: [65][7780/14090]	Time 0.773 (0.766)	Data 0.001 (0.002)	Loss 1.9097 (1.8764)	Prec@1 50.781 (51.139)	Prec@5 78.906 (80.842)
Epoch: [65][7790/14090]	Time 0.848 (0.766)	Data 0.001 (0.002)	Loss 1.7800 (1.8764)	Prec@1 50.781 (51.139)	Prec@5 78.906 (80.841)
Epoch: [65][7800/14090]	Time 0.764 (0.766)	Data 0.001 (0.002)	Loss 1.8992 (1.8764)	Prec@1 52.344 (51.138)	Prec@5 80.469 (80.840)
Epoch: [65][7810/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 1.7803 (1.8764)	Prec@1 50.000 (51.139)	Prec@5 83.594 (80.841)
Epoch: [65][7820/14090]	Time 0.778 (0.766)	Data 0.001 (0.002)	Loss 1.8211 (1.8763)	Prec@1 50.781 (51.142)	Prec@5 81.250 (80.843)
Epoch: [65][7830/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 1.6868 (1.8761)	Prec@1 56.250 (51.146)	Prec@5 82.812 (80.846)
Epoch: [65][7840/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 1.8604 (1.8761)	Prec@1 53.125 (51.149)	Prec@5 79.688 (80.847)
Epoch: [65][7850/14090]	Time 0.771 (0.766)	Data 0.001 (0.002)	Loss 1.7919 (1.8761)	Prec@1 49.219 (51.147)	Prec@5 80.469 (80.846)
Epoch: [65][7860/14090]	Time 0.898 (0.766)	Data 0.001 (0.002)	Loss 1.7571 (1.8761)	Prec@1 55.469 (51.147)	Prec@5 78.906 (80.845)
Epoch: [65][7870/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 2.0690 (1.8762)	Prec@1 53.125 (51.146)	Prec@5 73.438 (80.842)
Epoch: [65][7880/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 1.7730 (1.8761)	Prec@1 57.031 (51.148)	Prec@5 82.031 (80.843)
Epoch: [65][7890/14090]	Time 0.775 (0.766)	Data 0.002 (0.002)	Loss 1.9557 (1.8762)	Prec@1 50.000 (51.149)	Prec@5 78.906 (80.843)
Epoch: [65][7900/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 1.9095 (1.8762)	Prec@1 50.781 (51.150)	Prec@5 78.125 (80.842)
Epoch: [65][7910/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 1.7743 (1.8761)	Prec@1 53.125 (51.151)	Prec@5 85.156 (80.843)
Epoch: [65][7920/14090]	Time 0.778 (0.766)	Data 0.001 (0.002)	Loss 1.9965 (1.8762)	Prec@1 43.750 (51.149)	Prec@5 78.906 (80.842)
Epoch: [65][7930/14090]	Time 0.867 (0.766)	Data 0.001 (0.002)	Loss 1.7622 (1.8763)	Prec@1 58.594 (51.150)	Prec@5 83.594 (80.842)
Epoch: [65][7940/14090]	Time 0.725 (0.766)	Data 0.001 (0.002)	Loss 2.0757 (1.8763)	Prec@1 47.656 (51.149)	Prec@5 77.344 (80.841)
Epoch: [65][7950/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 1.7799 (1.8764)	Prec@1 49.219 (51.147)	Prec@5 85.156 (80.837)
Epoch: [65][7960/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 2.1786 (1.8764)	Prec@1 43.750 (51.149)	Prec@5 75.781 (80.838)
Epoch: [65][7970/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 1.6727 (1.8764)	Prec@1 52.344 (51.148)	Prec@5 83.594 (80.839)
Epoch: [65][7980/14090]	Time 0.764 (0.766)	Data 0.001 (0.002)	Loss 1.8283 (1.8764)	Prec@1 50.781 (51.148)	Prec@5 83.594 (80.839)
Epoch: [65][7990/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 1.9220 (1.8764)	Prec@1 50.781 (51.146)	Prec@5 82.031 (80.841)
Epoch: [65][8000/14090]	Time 0.821 (0.766)	Data 0.001 (0.002)	Loss 1.9855 (1.8764)	Prec@1 50.781 (51.148)	Prec@5 82.812 (80.842)
Epoch: [65][8010/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 2.0146 (1.8764)	Prec@1 46.094 (51.145)	Prec@5 82.031 (80.843)
Epoch: [65][8020/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 1.8082 (1.8765)	Prec@1 57.031 (51.145)	Prec@5 81.250 (80.842)
Epoch: [65][8030/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 1.8370 (1.8764)	Prec@1 50.781 (51.145)	Prec@5 82.031 (80.844)
Epoch: [65][8040/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 2.0012 (1.8763)	Prec@1 50.000 (51.148)	Prec@5 82.812 (80.846)
Epoch: [65][8050/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 1.9547 (1.8764)	Prec@1 46.094 (51.145)	Prec@5 81.250 (80.844)
Epoch: [65][8060/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.0149 (1.8764)	Prec@1 50.000 (51.143)	Prec@5 78.906 (80.844)
Epoch: [65][8070/14090]	Time 0.880 (0.766)	Data 0.001 (0.002)	Loss 2.0247 (1.8764)	Prec@1 41.406 (51.142)	Prec@5 77.344 (80.844)
Epoch: [65][8080/14090]	Time 0.775 (0.766)	Data 0.001 (0.002)	Loss 1.8582 (1.8764)	Prec@1 53.125 (51.141)	Prec@5 82.812 (80.844)
Epoch: [65][8090/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 1.8094 (1.8763)	Prec@1 53.906 (51.143)	Prec@5 82.812 (80.847)
Epoch: [65][8100/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 1.7894 (1.8764)	Prec@1 52.344 (51.141)	Prec@5 82.031 (80.845)
Epoch: [65][8110/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 1.9228 (1.8764)	Prec@1 48.438 (51.141)	Prec@5 80.469 (80.845)
Epoch: [65][8120/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 1.6182 (1.8764)	Prec@1 59.375 (51.140)	Prec@5 85.156 (80.846)
Epoch: [65][8130/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 2.1569 (1.8764)	Prec@1 48.438 (51.141)	Prec@5 75.781 (80.846)
Epoch: [65][8140/14090]	Time 0.890 (0.766)	Data 0.001 (0.002)	Loss 1.9629 (1.8765)	Prec@1 48.438 (51.143)	Prec@5 78.906 (80.845)
Epoch: [65][8150/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 1.9150 (1.8764)	Prec@1 51.562 (51.144)	Prec@5 81.250 (80.847)
Epoch: [65][8160/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 2.1542 (1.8765)	Prec@1 42.188 (51.141)	Prec@5 74.219 (80.845)
Epoch: [65][8170/14090]	Time 0.784 (0.766)	Data 0.001 (0.002)	Loss 1.8852 (1.8765)	Prec@1 45.312 (51.139)	Prec@5 83.594 (80.847)
Epoch: [65][8180/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 1.9933 (1.8764)	Prec@1 45.312 (51.139)	Prec@5 75.000 (80.847)
Epoch: [65][8190/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 2.1358 (1.8765)	Prec@1 50.781 (51.139)	Prec@5 73.438 (80.846)
Epoch: [65][8200/14090]	Time 0.740 (0.766)	Data 0.002 (0.002)	Loss 1.8643 (1.8765)	Prec@1 50.781 (51.138)	Prec@5 80.469 (80.846)
Epoch: [65][8210/14090]	Time 0.995 (0.766)	Data 0.001 (0.002)	Loss 1.7268 (1.8765)	Prec@1 51.562 (51.137)	Prec@5 82.812 (80.846)
Epoch: [65][8220/14090]	Time 0.726 (0.766)	Data 0.001 (0.002)	Loss 2.0146 (1.8765)	Prec@1 48.438 (51.137)	Prec@5 75.781 (80.845)
Epoch: [65][8230/14090]	Time 0.777 (0.766)	Data 0.001 (0.002)	Loss 1.7373 (1.8765)	Prec@1 53.906 (51.139)	Prec@5 82.812 (80.845)
Epoch: [65][8240/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 2.2190 (1.8767)	Prec@1 43.750 (51.135)	Prec@5 77.344 (80.842)
Epoch: [65][8250/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.0018 (1.8767)	Prec@1 46.875 (51.134)	Prec@5 77.344 (80.842)
Epoch: [65][8260/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 1.7217 (1.8767)	Prec@1 49.219 (51.133)	Prec@5 82.812 (80.842)
Epoch: [65][8270/14090]	Time 0.753 (0.766)	Data 0.002 (0.002)	Loss 1.6377 (1.8767)	Prec@1 57.812 (51.132)	Prec@5 83.594 (80.842)
Epoch: [65][8280/14090]	Time 0.887 (0.766)	Data 0.001 (0.002)	Loss 1.8946 (1.8767)	Prec@1 45.312 (51.131)	Prec@5 79.688 (80.841)
Epoch: [65][8290/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 1.8438 (1.8767)	Prec@1 49.219 (51.130)	Prec@5 78.906 (80.838)
Epoch: [65][8300/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 2.1127 (1.8768)	Prec@1 50.000 (51.129)	Prec@5 74.219 (80.837)
Epoch: [65][8310/14090]	Time 0.727 (0.766)	Data 0.001 (0.002)	Loss 1.8201 (1.8768)	Prec@1 48.438 (51.127)	Prec@5 85.156 (80.839)
Epoch: [65][8320/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.0426 (1.8768)	Prec@1 50.000 (51.127)	Prec@5 76.562 (80.839)
Epoch: [65][8330/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 1.8988 (1.8768)	Prec@1 50.781 (51.128)	Prec@5 82.812 (80.841)
Epoch: [65][8340/14090]	Time 0.781 (0.766)	Data 0.001 (0.002)	Loss 1.7317 (1.8767)	Prec@1 52.344 (51.129)	Prec@5 85.156 (80.843)
Epoch: [65][8350/14090]	Time 0.879 (0.766)	Data 0.001 (0.002)	Loss 1.6762 (1.8766)	Prec@1 50.000 (51.129)	Prec@5 78.906 (80.843)
Epoch: [65][8360/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 1.9169 (1.8766)	Prec@1 47.656 (51.129)	Prec@5 77.344 (80.844)
Epoch: [65][8370/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 1.7873 (1.8766)	Prec@1 52.344 (51.129)	Prec@5 81.250 (80.844)
Epoch: [65][8380/14090]	Time 0.775 (0.766)	Data 0.001 (0.002)	Loss 1.8798 (1.8766)	Prec@1 54.688 (51.130)	Prec@5 79.688 (80.844)
Epoch: [65][8390/14090]	Time 0.724 (0.766)	Data 0.001 (0.002)	Loss 1.9584 (1.8766)	Prec@1 54.688 (51.130)	Prec@5 77.344 (80.843)
Epoch: [65][8400/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 1.7423 (1.8766)	Prec@1 50.781 (51.128)	Prec@5 82.812 (80.843)
Epoch: [65][8410/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 1.9490 (1.8766)	Prec@1 49.219 (51.127)	Prec@5 78.125 (80.842)
Epoch: [65][8420/14090]	Time 0.877 (0.766)	Data 0.001 (0.002)	Loss 2.1656 (1.8766)	Prec@1 45.312 (51.128)	Prec@5 74.219 (80.842)
Epoch: [65][8430/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 1.9241 (1.8766)	Prec@1 48.438 (51.128)	Prec@5 76.562 (80.841)
Epoch: [65][8440/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 1.8120 (1.8768)	Prec@1 53.906 (51.126)	Prec@5 84.375 (80.839)
Epoch: [65][8450/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 1.7868 (1.8768)	Prec@1 56.250 (51.127)	Prec@5 84.375 (80.839)
Epoch: [65][8460/14090]	Time 0.728 (0.766)	Data 0.001 (0.002)	Loss 1.8448 (1.8769)	Prec@1 51.562 (51.124)	Prec@5 80.469 (80.836)
Epoch: [65][8470/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 2.0829 (1.8769)	Prec@1 47.656 (51.121)	Prec@5 75.781 (80.836)
Epoch: [65][8480/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 1.7776 (1.8770)	Prec@1 55.469 (51.119)	Prec@5 77.344 (80.834)
Epoch: [65][8490/14090]	Time 0.955 (0.766)	Data 0.001 (0.002)	Loss 1.8399 (1.8769)	Prec@1 53.125 (51.120)	Prec@5 78.125 (80.835)
Epoch: [65][8500/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 1.8240 (1.8769)	Prec@1 50.781 (51.120)	Prec@5 82.812 (80.837)
Epoch: [65][8510/14090]	Time 0.738 (0.766)	Data 0.002 (0.002)	Loss 1.7414 (1.8769)	Prec@1 50.781 (51.119)	Prec@5 82.812 (80.838)
Epoch: [65][8520/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 1.6565 (1.8768)	Prec@1 48.438 (51.119)	Prec@5 85.938 (80.839)
Epoch: [65][8530/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 1.8368 (1.8767)	Prec@1 49.219 (51.121)	Prec@5 80.469 (80.839)
Epoch: [65][8540/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 1.9037 (1.8767)	Prec@1 49.219 (51.123)	Prec@5 81.250 (80.841)
Epoch: [65][8550/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 2.1077 (1.8766)	Prec@1 46.875 (51.123)	Prec@5 75.781 (80.842)
Epoch: [65][8560/14090]	Time 0.870 (0.766)	Data 0.001 (0.002)	Loss 1.9480 (1.8767)	Prec@1 50.000 (51.121)	Prec@5 78.906 (80.841)
Epoch: [65][8570/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 1.8196 (1.8767)	Prec@1 48.438 (51.117)	Prec@5 83.594 (80.841)
Epoch: [65][8580/14090]	Time 0.753 (0.766)	Data 0.004 (0.002)	Loss 1.5203 (1.8767)	Prec@1 53.125 (51.118)	Prec@5 88.281 (80.842)
Epoch: [65][8590/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 1.8384 (1.8767)	Prec@1 46.094 (51.118)	Prec@5 82.031 (80.842)
Epoch: [65][8600/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 1.4746 (1.8767)	Prec@1 64.062 (51.119)	Prec@5 87.500 (80.842)
Epoch: [65][8610/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 1.8081 (1.8767)	Prec@1 52.344 (51.117)	Prec@5 84.375 (80.841)
Epoch: [65][8620/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 1.9890 (1.8767)	Prec@1 45.312 (51.115)	Prec@5 78.125 (80.840)
Epoch: [65][8630/14090]	Time 0.824 (0.766)	Data 0.001 (0.002)	Loss 1.8090 (1.8768)	Prec@1 50.781 (51.115)	Prec@5 85.156 (80.841)
Epoch: [65][8640/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 1.8706 (1.8767)	Prec@1 55.469 (51.119)	Prec@5 79.688 (80.844)
Epoch: [65][8650/14090]	Time 0.789 (0.766)	Data 0.001 (0.002)	Loss 2.0111 (1.8767)	Prec@1 47.656 (51.117)	Prec@5 74.219 (80.844)
Epoch: [65][8660/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 2.1712 (1.8768)	Prec@1 50.781 (51.120)	Prec@5 74.219 (80.843)
Epoch: [65][8670/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 1.7067 (1.8768)	Prec@1 51.562 (51.116)	Prec@5 82.812 (80.844)
Epoch: [65][8680/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 1.6353 (1.8767)	Prec@1 60.156 (51.118)	Prec@5 81.250 (80.845)
Epoch: [65][8690/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 1.9028 (1.8768)	Prec@1 50.000 (51.118)	Prec@5 77.344 (80.842)
Epoch: [65][8700/14090]	Time 0.858 (0.766)	Data 0.001 (0.002)	Loss 2.0377 (1.8767)	Prec@1 41.406 (51.118)	Prec@5 78.906 (80.841)
Epoch: [65][8710/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 1.6978 (1.8768)	Prec@1 53.125 (51.117)	Prec@5 85.156 (80.839)
Epoch: [65][8720/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.0164 (1.8769)	Prec@1 52.344 (51.116)	Prec@5 79.688 (80.838)
Epoch: [65][8730/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.2724 (1.8769)	Prec@1 45.312 (51.116)	Prec@5 67.969 (80.837)
Epoch: [65][8740/14090]	Time 0.725 (0.766)	Data 0.001 (0.002)	Loss 1.8303 (1.8769)	Prec@1 51.562 (51.119)	Prec@5 82.031 (80.838)
Epoch: [65][8750/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 1.8349 (1.8769)	Prec@1 53.125 (51.118)	Prec@5 81.250 (80.837)
Epoch: [65][8760/14090]	Time 0.767 (0.766)	Data 0.001 (0.002)	Loss 1.7389 (1.8770)	Prec@1 52.344 (51.118)	Prec@5 83.594 (80.836)
Epoch: [65][8770/14090]	Time 0.828 (0.766)	Data 0.001 (0.002)	Loss 2.1601 (1.8770)	Prec@1 44.531 (51.119)	Prec@5 75.781 (80.835)
Epoch: [65][8780/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 1.6432 (1.8769)	Prec@1 56.250 (51.120)	Prec@5 89.062 (80.835)
Epoch: [65][8790/14090]	Time 0.770 (0.766)	Data 0.001 (0.002)	Loss 2.0079 (1.8770)	Prec@1 46.094 (51.119)	Prec@5 80.469 (80.835)
Epoch: [65][8800/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 2.0515 (1.8770)	Prec@1 50.781 (51.117)	Prec@5 77.344 (80.835)
Epoch: [65][8810/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 1.9811 (1.8770)	Prec@1 50.781 (51.115)	Prec@5 81.250 (80.835)
Epoch: [65][8820/14090]	Time 0.761 (0.766)	Data 0.002 (0.002)	Loss 1.6931 (1.8769)	Prec@1 50.000 (51.117)	Prec@5 86.719 (80.836)
Epoch: [65][8830/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 1.9177 (1.8769)	Prec@1 49.219 (51.119)	Prec@5 78.125 (80.837)
Epoch: [65][8840/14090]	Time 0.868 (0.766)	Data 0.001 (0.002)	Loss 2.0532 (1.8770)	Prec@1 45.312 (51.116)	Prec@5 76.562 (80.835)
Epoch: [65][8850/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 2.1776 (1.8770)	Prec@1 44.531 (51.117)	Prec@5 74.219 (80.835)
Epoch: [65][8860/14090]	Time 0.727 (0.766)	Data 0.001 (0.002)	Loss 1.8349 (1.8770)	Prec@1 49.219 (51.116)	Prec@5 82.031 (80.834)
Epoch: [65][8870/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 1.9104 (1.8771)	Prec@1 48.438 (51.115)	Prec@5 79.688 (80.833)
Epoch: [65][8880/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 1.8125 (1.8770)	Prec@1 51.562 (51.116)	Prec@5 77.344 (80.833)
Epoch: [65][8890/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.0068 (1.8770)	Prec@1 46.875 (51.116)	Prec@5 78.125 (80.835)
Epoch: [65][8900/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.1290 (1.8770)	Prec@1 50.000 (51.117)	Prec@5 75.781 (80.835)
Epoch: [65][8910/14090]	Time 0.868 (0.766)	Data 0.001 (0.002)	Loss 1.7486 (1.8770)	Prec@1 54.688 (51.116)	Prec@5 85.156 (80.836)
Epoch: [65][8920/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 1.8165 (1.8770)	Prec@1 52.344 (51.115)	Prec@5 78.125 (80.836)
Epoch: [65][8930/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 1.8671 (1.8770)	Prec@1 47.656 (51.114)	Prec@5 80.469 (80.834)
Epoch: [65][8940/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.0968 (1.8771)	Prec@1 50.781 (51.114)	Prec@5 75.000 (80.832)
Epoch: [65][8950/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 2.0262 (1.8771)	Prec@1 46.875 (51.114)	Prec@5 78.125 (80.832)
Epoch: [65][8960/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 1.8340 (1.8771)	Prec@1 48.438 (51.113)	Prec@5 78.906 (80.833)
Epoch: [65][8970/14090]	Time 0.721 (0.766)	Data 0.001 (0.002)	Loss 1.7707 (1.8771)	Prec@1 47.656 (51.114)	Prec@5 81.250 (80.833)
Epoch: [65][8980/14090]	Time 0.869 (0.766)	Data 0.001 (0.002)	Loss 1.8121 (1.8771)	Prec@1 49.219 (51.114)	Prec@5 79.688 (80.833)
Epoch: [65][8990/14090]	Time 0.768 (0.766)	Data 0.001 (0.002)	Loss 2.1924 (1.8772)	Prec@1 50.000 (51.111)	Prec@5 73.438 (80.831)
Epoch: [65][9000/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 1.8286 (1.8771)	Prec@1 50.000 (51.113)	Prec@5 80.469 (80.832)
Epoch: [65][9010/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 1.8184 (1.8772)	Prec@1 50.000 (51.111)	Prec@5 82.812 (80.832)
Epoch: [65][9020/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 1.6280 (1.8772)	Prec@1 53.906 (51.111)	Prec@5 82.812 (80.830)
Epoch: [65][9030/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 1.7993 (1.8772)	Prec@1 50.000 (51.112)	Prec@5 80.469 (80.830)
Epoch: [65][9040/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 1.5209 (1.8772)	Prec@1 61.719 (51.113)	Prec@5 89.062 (80.830)
Epoch: [65][9050/14090]	Time 0.875 (0.766)	Data 0.001 (0.002)	Loss 2.0034 (1.8772)	Prec@1 49.219 (51.111)	Prec@5 79.688 (80.829)
Epoch: [65][9060/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 1.8309 (1.8772)	Prec@1 50.000 (51.113)	Prec@5 78.125 (80.830)
Epoch: [65][9070/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 1.9076 (1.8772)	Prec@1 53.125 (51.114)	Prec@5 80.469 (80.829)
Epoch: [65][9080/14090]	Time 0.727 (0.766)	Data 0.001 (0.002)	Loss 1.5359 (1.8771)	Prec@1 59.375 (51.116)	Prec@5 86.719 (80.831)
Epoch: [65][9090/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 1.8826 (1.8770)	Prec@1 47.656 (51.116)	Prec@5 82.031 (80.834)
Epoch: [65][9100/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 1.7249 (1.8770)	Prec@1 54.688 (51.119)	Prec@5 78.906 (80.834)
Epoch: [65][9110/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 2.0211 (1.8770)	Prec@1 50.781 (51.120)	Prec@5 80.469 (80.833)
Epoch: [65][9120/14090]	Time 0.860 (0.766)	Data 0.001 (0.002)	Loss 1.7580 (1.8770)	Prec@1 55.469 (51.118)	Prec@5 80.469 (80.832)
Epoch: [65][9130/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 1.6076 (1.8769)	Prec@1 57.812 (51.120)	Prec@5 89.062 (80.836)
Epoch: [65][9140/14090]	Time 0.767 (0.766)	Data 0.001 (0.002)	Loss 1.9278 (1.8769)	Prec@1 45.312 (51.119)	Prec@5 78.125 (80.834)
Epoch: [65][9150/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 1.8546 (1.8770)	Prec@1 48.438 (51.117)	Prec@5 85.156 (80.832)
Epoch: [65][9160/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 1.8295 (1.8771)	Prec@1 49.219 (51.114)	Prec@5 82.031 (80.832)
Epoch: [65][9170/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 1.8638 (1.8771)	Prec@1 50.000 (51.113)	Prec@5 78.906 (80.831)
Epoch: [65][9180/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 1.7022 (1.8771)	Prec@1 58.594 (51.113)	Prec@5 85.938 (80.832)
Epoch: [65][9190/14090]	Time 0.880 (0.766)	Data 0.001 (0.002)	Loss 2.0686 (1.8771)	Prec@1 44.531 (51.112)	Prec@5 79.688 (80.832)
Epoch: [65][9200/14090]	Time 0.722 (0.766)	Data 0.001 (0.002)	Loss 1.9283 (1.8771)	Prec@1 55.469 (51.111)	Prec@5 74.219 (80.832)
Epoch: [65][9210/14090]	Time 0.763 (0.766)	Data 0.001 (0.002)	Loss 1.8266 (1.8770)	Prec@1 50.000 (51.114)	Prec@5 82.031 (80.833)
Epoch: [65][9220/14090]	Time 0.768 (0.766)	Data 0.001 (0.002)	Loss 1.8190 (1.8770)	Prec@1 50.781 (51.115)	Prec@5 82.031 (80.833)
Epoch: [65][9230/14090]	Time 0.772 (0.766)	Data 0.004 (0.002)	Loss 2.1384 (1.8771)	Prec@1 47.656 (51.116)	Prec@5 77.344 (80.832)
Epoch: [65][9240/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 2.0528 (1.8771)	Prec@1 48.438 (51.113)	Prec@5 76.562 (80.831)
Epoch: [65][9250/14090]	Time 0.726 (0.766)	Data 0.001 (0.002)	Loss 1.8744 (1.8771)	Prec@1 49.219 (51.113)	Prec@5 82.031 (80.830)
Epoch: [65][9260/14090]	Time 0.844 (0.766)	Data 0.001 (0.002)	Loss 1.8640 (1.8771)	Prec@1 50.000 (51.114)	Prec@5 85.156 (80.831)
Epoch: [65][9270/14090]	Time 0.727 (0.766)	Data 0.001 (0.002)	Loss 1.8344 (1.8771)	Prec@1 56.250 (51.112)	Prec@5 81.250 (80.831)
Epoch: [65][9280/14090]	Time 0.721 (0.766)	Data 0.001 (0.002)	Loss 1.9931 (1.8771)	Prec@1 44.531 (51.111)	Prec@5 78.125 (80.831)
Epoch: [65][9290/14090]	Time 0.775 (0.766)	Data 0.001 (0.002)	Loss 2.0567 (1.8771)	Prec@1 46.875 (51.113)	Prec@5 80.469 (80.831)
Epoch: [65][9300/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 1.9323 (1.8771)	Prec@1 50.781 (51.112)	Prec@5 77.344 (80.831)
Epoch: [65][9310/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.0026 (1.8771)	Prec@1 47.656 (51.111)	Prec@5 78.906 (80.831)
Epoch: [65][9320/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 1.8519 (1.8772)	Prec@1 53.125 (51.111)	Prec@5 82.031 (80.830)
Epoch: [65][9330/14090]	Time 0.871 (0.766)	Data 0.001 (0.002)	Loss 1.8372 (1.8773)	Prec@1 57.031 (51.112)	Prec@5 83.594 (80.830)
Epoch: [65][9340/14090]	Time 0.780 (0.766)	Data 0.001 (0.002)	Loss 1.9162 (1.8773)	Prec@1 47.656 (51.111)	Prec@5 81.250 (80.831)
Epoch: [65][9350/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 1.8825 (1.8773)	Prec@1 48.438 (51.111)	Prec@5 80.469 (80.830)
Epoch: [65][9360/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 1.6142 (1.8773)	Prec@1 59.375 (51.111)	Prec@5 86.719 (80.830)
Epoch: [65][9370/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 1.8804 (1.8772)	Prec@1 52.344 (51.113)	Prec@5 81.250 (80.831)
Epoch: [65][9380/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 1.7118 (1.8772)	Prec@1 58.594 (51.115)	Prec@5 81.250 (80.833)
Epoch: [65][9390/14090]	Time 0.743 (0.766)	Data 0.003 (0.002)	Loss 1.7914 (1.8771)	Prec@1 49.219 (51.116)	Prec@5 81.250 (80.833)
Epoch: [65][9400/14090]	Time 0.870 (0.766)	Data 0.001 (0.002)	Loss 1.7312 (1.8772)	Prec@1 61.719 (51.117)	Prec@5 80.469 (80.832)
Epoch: [65][9410/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.0387 (1.8771)	Prec@1 47.656 (51.117)	Prec@5 76.562 (80.833)
Epoch: [65][9420/14090]	Time 0.725 (0.766)	Data 0.001 (0.002)	Loss 1.7123 (1.8771)	Prec@1 56.250 (51.115)	Prec@5 85.938 (80.834)
Epoch: [65][9430/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 1.4784 (1.8771)	Prec@1 62.500 (51.114)	Prec@5 85.938 (80.832)
Epoch: [65][9440/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 2.0292 (1.8772)	Prec@1 49.219 (51.114)	Prec@5 73.438 (80.832)
Epoch: [65][9450/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 1.8713 (1.8772)	Prec@1 48.438 (51.114)	Prec@5 80.469 (80.832)
Epoch: [65][9460/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 2.1135 (1.8773)	Prec@1 48.438 (51.111)	Prec@5 79.688 (80.830)
Epoch: [65][9470/14090]	Time 0.881 (0.766)	Data 0.001 (0.002)	Loss 2.1056 (1.8773)	Prec@1 45.312 (51.109)	Prec@5 74.219 (80.829)
Epoch: [65][9480/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 1.5685 (1.8773)	Prec@1 58.594 (51.109)	Prec@5 82.031 (80.830)
Epoch: [65][9490/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 1.7161 (1.8774)	Prec@1 50.781 (51.108)	Prec@5 82.031 (80.827)
Epoch: [65][9500/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 1.8593 (1.8774)	Prec@1 53.125 (51.108)	Prec@5 82.812 (80.827)
Epoch: [65][9510/14090]	Time 0.770 (0.766)	Data 0.001 (0.001)	Loss 1.6201 (1.8773)	Prec@1 54.688 (51.111)	Prec@5 84.375 (80.828)
Epoch: [65][9520/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.0678 (1.8773)	Prec@1 50.000 (51.112)	Prec@5 77.344 (80.828)
Epoch: [65][9530/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.1548 (1.8773)	Prec@1 43.750 (51.110)	Prec@5 82.031 (80.829)
Epoch: [65][9540/14090]	Time 0.873 (0.766)	Data 0.001 (0.001)	Loss 1.7822 (1.8773)	Prec@1 54.688 (51.111)	Prec@5 80.469 (80.829)
Epoch: [65][9550/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.0256 (1.8772)	Prec@1 49.219 (51.112)	Prec@5 76.562 (80.829)
Epoch: [65][9560/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 1.6440 (1.8771)	Prec@1 58.594 (51.114)	Prec@5 85.938 (80.831)
Epoch: [65][9570/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 1.9059 (1.8771)	Prec@1 48.438 (51.114)	Prec@5 78.906 (80.831)
Epoch: [65][9580/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 1.7034 (1.8770)	Prec@1 57.812 (51.115)	Prec@5 78.906 (80.832)
Epoch: [65][9590/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 1.7187 (1.8770)	Prec@1 47.656 (51.115)	Prec@5 85.938 (80.831)
Epoch: [65][9600/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 1.7753 (1.8770)	Prec@1 53.906 (51.117)	Prec@5 83.594 (80.833)
Epoch: [65][9610/14090]	Time 0.867 (0.766)	Data 0.001 (0.001)	Loss 1.9004 (1.8771)	Prec@1 46.875 (51.117)	Prec@5 78.125 (80.831)
Epoch: [65][9620/14090]	Time 0.719 (0.766)	Data 0.001 (0.001)	Loss 2.0056 (1.8771)	Prec@1 52.344 (51.117)	Prec@5 78.125 (80.830)
Epoch: [65][9630/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.2200 (1.8771)	Prec@1 44.531 (51.115)	Prec@5 73.438 (80.830)
Epoch: [65][9640/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 1.7699 (1.8772)	Prec@1 57.031 (51.113)	Prec@5 82.031 (80.830)
Epoch: [65][9650/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.0557 (1.8772)	Prec@1 45.312 (51.114)	Prec@5 78.906 (80.830)
Epoch: [65][9660/14090]	Time 0.745 (0.766)	Data 0.002 (0.001)	Loss 2.0334 (1.8772)	Prec@1 40.625 (51.114)	Prec@5 77.344 (80.831)
Epoch: [65][9670/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 2.0252 (1.8772)	Prec@1 47.656 (51.114)	Prec@5 81.250 (80.831)
Epoch: [65][9680/14090]	Time 0.872 (0.766)	Data 0.001 (0.001)	Loss 1.8104 (1.8771)	Prec@1 50.781 (51.116)	Prec@5 80.469 (80.832)
Epoch: [65][9690/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 1.8034 (1.8771)	Prec@1 52.344 (51.117)	Prec@5 78.125 (80.832)
Epoch: [65][9700/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 1.9781 (1.8771)	Prec@1 47.656 (51.117)	Prec@5 78.125 (80.832)
Epoch: [65][9710/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 1.9618 (1.8771)	Prec@1 51.562 (51.117)	Prec@5 78.125 (80.833)
Epoch: [65][9720/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 1.7968 (1.8770)	Prec@1 50.781 (51.118)	Prec@5 84.375 (80.836)
Epoch: [65][9730/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 1.7199 (1.8769)	Prec@1 56.250 (51.117)	Prec@5 82.812 (80.837)
Epoch: [65][9740/14090]	Time 0.758 (0.766)	Data 0.002 (0.001)	Loss 1.8348 (1.8770)	Prec@1 50.781 (51.114)	Prec@5 80.469 (80.835)
Epoch: [65][9750/14090]	Time 0.857 (0.766)	Data 0.001 (0.001)	Loss 1.6154 (1.8770)	Prec@1 51.562 (51.114)	Prec@5 86.719 (80.836)
Epoch: [65][9760/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.2670 (1.8772)	Prec@1 39.062 (51.110)	Prec@5 77.344 (80.834)
Epoch: [65][9770/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 1.8888 (1.8772)	Prec@1 54.688 (51.110)	Prec@5 79.688 (80.834)
Epoch: [65][9780/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 1.7884 (1.8772)	Prec@1 49.219 (51.111)	Prec@5 85.156 (80.835)
Epoch: [65][9790/14090]	Time 0.770 (0.766)	Data 0.001 (0.001)	Loss 1.8665 (1.8771)	Prec@1 50.000 (51.110)	Prec@5 79.688 (80.835)
Epoch: [65][9800/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 1.8105 (1.8771)	Prec@1 51.562 (51.110)	Prec@5 83.594 (80.835)
Epoch: [65][9810/14090]	Time 0.777 (0.766)	Data 0.001 (0.001)	Loss 1.9779 (1.8770)	Prec@1 43.750 (51.110)	Prec@5 82.031 (80.837)
Epoch: [65][9820/14090]	Time 0.909 (0.766)	Data 0.001 (0.001)	Loss 2.1160 (1.8770)	Prec@1 40.625 (51.111)	Prec@5 77.344 (80.837)
Epoch: [65][9830/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.1537 (1.8771)	Prec@1 47.656 (51.109)	Prec@5 78.906 (80.836)
Epoch: [65][9840/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 1.9742 (1.8770)	Prec@1 48.438 (51.111)	Prec@5 81.250 (80.836)
Epoch: [65][9850/14090]	Time 0.769 (0.766)	Data 0.001 (0.001)	Loss 1.7306 (1.8770)	Prec@1 54.688 (51.110)	Prec@5 82.031 (80.836)
Epoch: [65][9860/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 1.8858 (1.8771)	Prec@1 53.906 (51.109)	Prec@5 80.469 (80.836)
Epoch: [65][9870/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 1.7774 (1.8771)	Prec@1 44.531 (51.106)	Prec@5 78.906 (80.834)
Epoch: [65][9880/14090]	Time 0.780 (0.766)	Data 0.001 (0.001)	Loss 1.8741 (1.8771)	Prec@1 53.906 (51.107)	Prec@5 82.031 (80.836)
Epoch: [65][9890/14090]	Time 0.867 (0.766)	Data 0.001 (0.001)	Loss 2.1570 (1.8771)	Prec@1 42.969 (51.105)	Prec@5 79.688 (80.835)
Epoch: [65][9900/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 1.7003 (1.8770)	Prec@1 56.250 (51.106)	Prec@5 81.250 (80.837)
Epoch: [65][9910/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 1.9858 (1.8770)	Prec@1 44.531 (51.104)	Prec@5 78.906 (80.837)
Epoch: [65][9920/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 1.8974 (1.8770)	Prec@1 54.688 (51.104)	Prec@5 77.344 (80.837)
Epoch: [65][9930/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 1.7202 (1.8770)	Prec@1 56.250 (51.106)	Prec@5 78.906 (80.836)
Epoch: [65][9940/14090]	Time 0.770 (0.766)	Data 0.001 (0.001)	Loss 1.9670 (1.8771)	Prec@1 50.781 (51.104)	Prec@5 79.688 (80.834)
Epoch: [65][9950/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.0419 (1.8772)	Prec@1 46.094 (51.103)	Prec@5 75.000 (80.834)
Epoch: [65][9960/14090]	Time 0.892 (0.766)	Data 0.001 (0.001)	Loss 1.9183 (1.8772)	Prec@1 48.438 (51.103)	Prec@5 82.031 (80.833)
Epoch: [65][9970/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 1.9018 (1.8772)	Prec@1 46.094 (51.102)	Prec@5 82.812 (80.834)
Epoch: [65][9980/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 1.7636 (1.8772)	Prec@1 51.562 (51.100)	Prec@5 79.688 (80.832)
Epoch: [65][9990/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 1.8985 (1.8772)	Prec@1 49.219 (51.100)	Prec@5 80.469 (80.832)
Epoch: [65][10000/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.0011 (1.8773)	Prec@1 50.000 (51.099)	Prec@5 75.000 (80.831)
Epoch: [65][10010/14090]	Time 0.723 (0.766)	Data 0.001 (0.001)	Loss 1.8033 (1.8773)	Prec@1 50.781 (51.098)	Prec@5 85.938 (80.831)
Epoch: [65][10020/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 1.8821 (1.8773)	Prec@1 48.438 (51.097)	Prec@5 83.594 (80.831)
Epoch: [65][10030/14090]	Time 0.870 (0.766)	Data 0.001 (0.001)	Loss 2.0635 (1.8774)	Prec@1 44.531 (51.097)	Prec@5 76.562 (80.830)
Epoch: [65][10040/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 1.9664 (1.8774)	Prec@1 55.469 (51.097)	Prec@5 75.781 (80.828)
Epoch: [65][10050/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 1.7060 (1.8773)	Prec@1 50.781 (51.098)	Prec@5 84.375 (80.832)
Epoch: [65][10060/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 1.7028 (1.8773)	Prec@1 57.031 (51.099)	Prec@5 85.156 (80.832)
Epoch: [65][10070/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.2721 (1.8774)	Prec@1 42.188 (51.099)	Prec@5 73.438 (80.831)
Epoch: [65][10080/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 1.9077 (1.8774)	Prec@1 49.219 (51.098)	Prec@5 76.562 (80.830)
Epoch: [65][10090/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 1.8214 (1.8773)	Prec@1 55.469 (51.099)	Prec@5 80.469 (80.832)
Epoch: [65][10100/14090]	Time 0.888 (0.766)	Data 0.001 (0.001)	Loss 1.9106 (1.8774)	Prec@1 50.781 (51.097)	Prec@5 82.031 (80.832)
Epoch: [65][10110/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 1.6172 (1.8774)	Prec@1 58.594 (51.097)	Prec@5 82.812 (80.834)
Epoch: [65][10120/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 1.9867 (1.8774)	Prec@1 53.125 (51.096)	Prec@5 76.562 (80.831)
Epoch: [65][10130/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 1.9867 (1.8775)	Prec@1 46.875 (51.095)	Prec@5 78.906 (80.831)
Epoch: [65][10140/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 1.7648 (1.8774)	Prec@1 52.344 (51.094)	Prec@5 82.812 (80.831)
Epoch: [65][10150/14090]	Time 0.773 (0.766)	Data 0.001 (0.001)	Loss 1.9566 (1.8774)	Prec@1 45.312 (51.096)	Prec@5 78.906 (80.831)
Epoch: [65][10160/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.1124 (1.8774)	Prec@1 48.438 (51.096)	Prec@5 79.688 (80.830)
Epoch: [65][10170/14090]	Time 0.848 (0.766)	Data 0.001 (0.001)	Loss 1.8294 (1.8774)	Prec@1 48.438 (51.096)	Prec@5 84.375 (80.830)
Epoch: [65][10180/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 1.9476 (1.8774)	Prec@1 50.781 (51.096)	Prec@5 79.688 (80.829)
Epoch: [65][10190/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 1.7644 (1.8775)	Prec@1 49.219 (51.095)	Prec@5 80.469 (80.827)
Epoch: [65][10200/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 1.9142 (1.8776)	Prec@1 44.531 (51.091)	Prec@5 75.781 (80.826)
Epoch: [65][10210/14090]	Time 0.762 (0.766)	Data 0.002 (0.001)	Loss 1.8352 (1.8775)	Prec@1 53.125 (51.092)	Prec@5 83.594 (80.827)
Epoch: [65][10220/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 1.7882 (1.8775)	Prec@1 50.781 (51.093)	Prec@5 81.250 (80.828)
Epoch: [65][10230/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 1.6972 (1.8775)	Prec@1 53.906 (51.094)	Prec@5 85.938 (80.826)
Epoch: [65][10240/14090]	Time 0.864 (0.766)	Data 0.001 (0.001)	Loss 2.1480 (1.8774)	Prec@1 42.969 (51.095)	Prec@5 79.688 (80.828)
Epoch: [65][10250/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 1.7185 (1.8774)	Prec@1 52.344 (51.095)	Prec@5 82.812 (80.828)
Epoch: [65][10260/14090]	Time 0.721 (0.766)	Data 0.001 (0.001)	Loss 1.8923 (1.8775)	Prec@1 52.344 (51.094)	Prec@5 76.562 (80.826)
Epoch: [65][10270/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.0151 (1.8774)	Prec@1 47.656 (51.095)	Prec@5 82.031 (80.828)
Epoch: [65][10280/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 1.8505 (1.8773)	Prec@1 52.344 (51.097)	Prec@5 82.031 (80.829)
Epoch: [65][10290/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 1.8119 (1.8772)	Prec@1 50.781 (51.099)	Prec@5 82.812 (80.830)
Epoch: [65][10300/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 1.9289 (1.8772)	Prec@1 50.000 (51.098)	Prec@5 77.344 (80.830)
Epoch: [65][10310/14090]	Time 0.899 (0.766)	Data 0.001 (0.001)	Loss 1.7013 (1.8772)	Prec@1 57.812 (51.097)	Prec@5 83.594 (80.830)
Epoch: [65][10320/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 1.8499 (1.8772)	Prec@1 53.906 (51.098)	Prec@5 82.031 (80.831)
Epoch: [65][10330/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 1.7774 (1.8771)	Prec@1 57.031 (51.099)	Prec@5 85.938 (80.833)
Epoch: [65][10340/14090]	Time 0.765 (0.766)	Data 0.001 (0.001)	Loss 2.0056 (1.8771)	Prec@1 46.875 (51.099)	Prec@5 79.688 (80.832)
Epoch: [65][10350/14090]	Time 0.723 (0.766)	Data 0.001 (0.001)	Loss 1.8933 (1.8771)	Prec@1 48.438 (51.100)	Prec@5 78.125 (80.831)
Epoch: [65][10360/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 1.9466 (1.8772)	Prec@1 51.562 (51.098)	Prec@5 82.031 (80.831)
Epoch: [65][10370/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 1.6664 (1.8773)	Prec@1 57.812 (51.098)	Prec@5 85.938 (80.828)
Epoch: [65][10380/14090]	Time 0.879 (0.766)	Data 0.001 (0.001)	Loss 2.2211 (1.8773)	Prec@1 50.000 (51.099)	Prec@5 74.219 (80.829)
Epoch: [65][10390/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 1.7695 (1.8772)	Prec@1 51.562 (51.101)	Prec@5 82.812 (80.829)
Epoch: [65][10400/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 1.8989 (1.8772)	Prec@1 50.000 (51.102)	Prec@5 81.250 (80.831)
Epoch: [65][10410/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 1.9320 (1.8771)	Prec@1 52.344 (51.103)	Prec@5 76.562 (80.832)
Epoch: [65][10420/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 1.9714 (1.8770)	Prec@1 53.125 (51.104)	Prec@5 78.906 (80.832)
Epoch: [65][10430/14090]	Time 0.722 (0.766)	Data 0.001 (0.001)	Loss 1.7788 (1.8770)	Prec@1 57.812 (51.104)	Prec@5 82.031 (80.833)
Epoch: [65][10440/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 2.1197 (1.8771)	Prec@1 50.000 (51.105)	Prec@5 77.344 (80.833)
Epoch: [65][10450/14090]	Time 0.835 (0.766)	Data 0.001 (0.001)	Loss 2.0397 (1.8771)	Prec@1 48.438 (51.104)	Prec@5 78.125 (80.833)
Epoch: [65][10460/14090]	Time 0.765 (0.766)	Data 0.001 (0.001)	Loss 1.8360 (1.8771)	Prec@1 55.469 (51.103)	Prec@5 77.344 (80.831)
Epoch: [65][10470/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 1.9920 (1.8771)	Prec@1 46.094 (51.104)	Prec@5 81.250 (80.832)
Epoch: [65][10480/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.0182 (1.8771)	Prec@1 44.531 (51.104)	Prec@5 77.344 (80.832)
Epoch: [65][10490/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.0777 (1.8772)	Prec@1 46.875 (51.102)	Prec@5 78.125 (80.830)
Epoch: [65][10500/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 1.9960 (1.8772)	Prec@1 53.125 (51.101)	Prec@5 78.906 (80.829)
Epoch: [65][10510/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 1.6795 (1.8772)	Prec@1 51.562 (51.099)	Prec@5 82.031 (80.829)
Epoch: [65][10520/14090]	Time 0.863 (0.766)	Data 0.001 (0.001)	Loss 1.9925 (1.8772)	Prec@1 50.781 (51.100)	Prec@5 81.250 (80.831)
Epoch: [65][10530/14090]	Time 0.772 (0.766)	Data 0.001 (0.001)	Loss 1.8774 (1.8773)	Prec@1 50.781 (51.098)	Prec@5 80.469 (80.829)
Epoch: [65][10540/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 1.6767 (1.8773)	Prec@1 52.344 (51.098)	Prec@5 83.594 (80.830)
Epoch: [65][10550/14090]	Time 0.719 (0.766)	Data 0.001 (0.001)	Loss 1.9153 (1.8773)	Prec@1 45.312 (51.097)	Prec@5 78.906 (80.829)
Epoch: [65][10560/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 1.9410 (1.8773)	Prec@1 50.000 (51.099)	Prec@5 80.469 (80.831)
Epoch: [65][10570/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.0923 (1.8773)	Prec@1 47.656 (51.098)	Prec@5 74.219 (80.830)
Epoch: [65][10580/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 1.7392 (1.8774)	Prec@1 57.812 (51.097)	Prec@5 82.812 (80.830)
Epoch: [65][10590/14090]	Time 0.850 (0.766)	Data 0.001 (0.001)	Loss 1.8637 (1.8774)	Prec@1 50.000 (51.097)	Prec@5 81.250 (80.828)
Epoch: [65][10600/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 1.5901 (1.8774)	Prec@1 58.594 (51.098)	Prec@5 85.156 (80.827)
Epoch: [65][10610/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.1786 (1.8775)	Prec@1 45.312 (51.100)	Prec@5 76.562 (80.827)
Epoch: [65][10620/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 1.7376 (1.8775)	Prec@1 51.562 (51.099)	Prec@5 82.031 (80.825)
Epoch: [65][10630/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 1.9799 (1.8775)	Prec@1 46.875 (51.098)	Prec@5 75.000 (80.826)
Epoch: [65][10640/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.2137 (1.8775)	Prec@1 46.094 (51.097)	Prec@5 73.438 (80.824)
Epoch: [65][10650/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 1.6731 (1.8775)	Prec@1 57.812 (51.098)	Prec@5 85.938 (80.826)
Epoch: [65][10660/14090]	Time 0.856 (0.766)	Data 0.001 (0.001)	Loss 1.6497 (1.8774)	Prec@1 56.250 (51.101)	Prec@5 82.031 (80.828)
Epoch: [65][10670/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 1.7999 (1.8774)	Prec@1 51.562 (51.101)	Prec@5 79.688 (80.829)
Epoch: [65][10680/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 1.9692 (1.8774)	Prec@1 54.688 (51.100)	Prec@5 80.469 (80.828)
Epoch: [65][10690/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.0894 (1.8774)	Prec@1 44.531 (51.098)	Prec@5 80.469 (80.829)
Epoch: [65][10700/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 1.7668 (1.8774)	Prec@1 52.344 (51.098)	Prec@5 82.812 (80.829)
Epoch: [65][10710/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.1405 (1.8774)	Prec@1 49.219 (51.097)	Prec@5 77.344 (80.828)
Epoch: [65][10720/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 1.9133 (1.8774)	Prec@1 49.219 (51.096)	Prec@5 82.031 (80.827)
Epoch: [65][10730/14090]	Time 0.885 (0.766)	Data 0.001 (0.001)	Loss 1.9268 (1.8774)	Prec@1 49.219 (51.096)	Prec@5 78.906 (80.827)
Epoch: [65][10740/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.1458 (1.8775)	Prec@1 45.312 (51.095)	Prec@5 78.906 (80.827)
Epoch: [65][10750/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 1.8014 (1.8775)	Prec@1 51.562 (51.094)	Prec@5 83.594 (80.825)
Epoch: [65][10760/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 1.6766 (1.8775)	Prec@1 56.250 (51.093)	Prec@5 82.812 (80.824)
Epoch: [65][10770/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 2.0544 (1.8775)	Prec@1 51.562 (51.093)	Prec@5 76.562 (80.825)
Epoch: [65][10780/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.0265 (1.8776)	Prec@1 49.219 (51.090)	Prec@5 78.125 (80.824)
Epoch: [65][10790/14090]	Time 0.775 (0.766)	Data 0.001 (0.001)	Loss 1.8202 (1.8776)	Prec@1 47.656 (51.090)	Prec@5 82.031 (80.824)
Epoch: [65][10800/14090]	Time 0.844 (0.766)	Data 0.001 (0.001)	Loss 2.2019 (1.8777)	Prec@1 39.844 (51.087)	Prec@5 75.781 (80.822)
Epoch: [65][10810/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.1531 (1.8777)	Prec@1 46.875 (51.086)	Prec@5 72.656 (80.821)
Epoch: [65][10820/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 1.7196 (1.8777)	Prec@1 56.250 (51.086)	Prec@5 85.938 (80.821)
Epoch: [65][10830/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 1.8636 (1.8778)	Prec@1 46.875 (51.085)	Prec@5 82.031 (80.821)
Epoch: [65][10840/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.0182 (1.8778)	Prec@1 53.125 (51.085)	Prec@5 75.000 (80.820)
Epoch: [65][10850/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.0210 (1.8779)	Prec@1 46.094 (51.083)	Prec@5 81.250 (80.819)
Epoch: [65][10860/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 1.5345 (1.8779)	Prec@1 57.812 (51.084)	Prec@5 86.719 (80.819)
Epoch: [65][10870/14090]	Time 0.885 (0.766)	Data 0.001 (0.001)	Loss 1.7313 (1.8779)	Prec@1 55.469 (51.082)	Prec@5 84.375 (80.819)
Epoch: [65][10880/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 1.8464 (1.8778)	Prec@1 53.906 (51.085)	Prec@5 85.156 (80.821)
Epoch: [65][10890/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.0923 (1.8779)	Prec@1 45.312 (51.084)	Prec@5 78.125 (80.820)
Epoch: [65][10900/14090]	Time 0.724 (0.766)	Data 0.004 (0.001)	Loss 1.7931 (1.8778)	Prec@1 53.125 (51.086)	Prec@5 83.594 (80.821)
Epoch: [65][10910/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 1.9847 (1.8779)	Prec@1 48.438 (51.083)	Prec@5 79.688 (80.820)
Epoch: [65][10920/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 2.1341 (1.8779)	Prec@1 49.219 (51.083)	Prec@5 78.125 (80.820)
Epoch: [65][10930/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.0508 (1.8779)	Prec@1 51.562 (51.083)	Prec@5 78.125 (80.818)
Epoch: [65][10940/14090]	Time 0.879 (0.766)	Data 0.001 (0.001)	Loss 1.8981 (1.8779)	Prec@1 47.656 (51.083)	Prec@5 80.469 (80.819)
Epoch: [65][10950/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 1.7938 (1.8779)	Prec@1 49.219 (51.083)	Prec@5 83.594 (80.821)
Epoch: [65][10960/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 1.9214 (1.8779)	Prec@1 47.656 (51.082)	Prec@5 78.906 (80.821)
Epoch: [65][10970/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.0497 (1.8779)	Prec@1 50.000 (51.081)	Prec@5 73.438 (80.822)
Epoch: [65][10980/14090]	Time 0.721 (0.766)	Data 0.001 (0.001)	Loss 1.9568 (1.8780)	Prec@1 55.469 (51.079)	Prec@5 77.344 (80.819)
Epoch: [65][10990/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 1.7996 (1.8779)	Prec@1 51.562 (51.080)	Prec@5 84.375 (80.821)
Epoch: [65][11000/14090]	Time 0.728 (0.766)	Data 0.002 (0.001)	Loss 1.8286 (1.8779)	Prec@1 50.000 (51.080)	Prec@5 82.031 (80.821)
Epoch: [65][11010/14090]	Time 0.901 (0.766)	Data 0.001 (0.001)	Loss 1.8512 (1.8779)	Prec@1 53.125 (51.079)	Prec@5 82.031 (80.821)
Epoch: [65][11020/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 1.8534 (1.8780)	Prec@1 50.781 (51.077)	Prec@5 77.344 (80.820)
Epoch: [65][11030/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 1.8765 (1.8780)	Prec@1 51.562 (51.076)	Prec@5 85.156 (80.820)
Epoch: [65][11040/14090]	Time 0.779 (0.766)	Data 0.001 (0.001)	Loss 2.0693 (1.8780)	Prec@1 47.656 (51.075)	Prec@5 77.344 (80.820)
Epoch: [65][11050/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 1.7655 (1.8779)	Prec@1 48.438 (51.075)	Prec@5 85.938 (80.821)
Epoch: [65][11060/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.0045 (1.8780)	Prec@1 44.531 (51.074)	Prec@5 85.156 (80.820)
Epoch: [65][11070/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 1.8273 (1.8780)	Prec@1 53.906 (51.074)	Prec@5 82.812 (80.822)
Epoch: [65][11080/14090]	Time 0.907 (0.766)	Data 0.001 (0.001)	Loss 2.0884 (1.8780)	Prec@1 51.562 (51.076)	Prec@5 76.562 (80.821)
Epoch: [65][11090/14090]	Time 0.720 (0.766)	Data 0.001 (0.001)	Loss 1.7368 (1.8779)	Prec@1 53.125 (51.078)	Prec@5 82.031 (80.820)
Epoch: [65][11100/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 1.7254 (1.8779)	Prec@1 52.344 (51.077)	Prec@5 82.812 (80.820)
Epoch: [65][11110/14090]	Time 0.753 (0.766)	Data 0.004 (0.001)	Loss 1.9710 (1.8780)	Prec@1 48.438 (51.077)	Prec@5 79.688 (80.820)
Epoch: [65][11120/14090]	Time 0.784 (0.766)	Data 0.001 (0.001)	Loss 2.1306 (1.8780)	Prec@1 54.688 (51.077)	Prec@5 74.219 (80.819)
Epoch: [65][11130/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 1.9723 (1.8780)	Prec@1 49.219 (51.075)	Prec@5 79.688 (80.819)
Epoch: [65][11140/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.1200 (1.8780)	Prec@1 48.438 (51.076)	Prec@5 78.125 (80.820)
Epoch: [65][11150/14090]	Time 0.839 (0.766)	Data 0.001 (0.001)	Loss 1.4899 (1.8780)	Prec@1 56.250 (51.076)	Prec@5 89.062 (80.821)
Epoch: [65][11160/14090]	Time 0.778 (0.766)	Data 0.001 (0.001)	Loss 1.9479 (1.8779)	Prec@1 49.219 (51.077)	Prec@5 82.031 (80.822)
Epoch: [65][11170/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 1.9845 (1.8780)	Prec@1 50.000 (51.075)	Prec@5 79.688 (80.821)
Epoch: [65][11180/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 1.7851 (1.8779)	Prec@1 50.000 (51.077)	Prec@5 84.375 (80.822)
Epoch: [65][11190/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 1.9615 (1.8780)	Prec@1 46.875 (51.074)	Prec@5 78.906 (80.821)
Epoch: [65][11200/14090]	Time 0.724 (0.766)	Data 0.002 (0.001)	Loss 2.0219 (1.8779)	Prec@1 48.438 (51.077)	Prec@5 78.906 (80.822)
Epoch: [65][11210/14090]	Time 0.767 (0.766)	Data 0.001 (0.001)	Loss 1.9135 (1.8780)	Prec@1 50.000 (51.075)	Prec@5 78.906 (80.821)
Epoch: [65][11220/14090]	Time 0.892 (0.766)	Data 0.001 (0.001)	Loss 1.6731 (1.8780)	Prec@1 53.906 (51.074)	Prec@5 84.375 (80.822)
Epoch: [65][11230/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 1.9708 (1.8780)	Prec@1 46.875 (51.074)	Prec@5 82.031 (80.822)
Epoch: [65][11240/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 1.9929 (1.8780)	Prec@1 51.562 (51.075)	Prec@5 78.125 (80.822)
Epoch: [65][11250/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 1.9082 (1.8780)	Prec@1 49.219 (51.075)	Prec@5 79.688 (80.823)
Epoch: [65][11260/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 1.7235 (1.8780)	Prec@1 55.469 (51.074)	Prec@5 82.031 (80.822)
Epoch: [65][11270/14090]	Time 0.723 (0.766)	Data 0.001 (0.001)	Loss 1.8360 (1.8780)	Prec@1 50.781 (51.074)	Prec@5 83.594 (80.822)
Epoch: [65][11280/14090]	Time 0.783 (0.766)	Data 0.001 (0.001)	Loss 1.7024 (1.8780)	Prec@1 54.688 (51.073)	Prec@5 82.031 (80.821)
Epoch: [65][11290/14090]	Time 0.847 (0.766)	Data 0.001 (0.001)	Loss 2.1496 (1.8780)	Prec@1 42.969 (51.074)	Prec@5 75.781 (80.821)
Epoch: [65][11300/14090]	Time 0.807 (0.766)	Data 0.001 (0.001)	Loss 1.9078 (1.8781)	Prec@1 49.219 (51.072)	Prec@5 83.594 (80.821)
Epoch: [65][11310/14090]	Time 0.724 (0.766)	Data 0.001 (0.001)	Loss 2.0674 (1.8781)	Prec@1 43.750 (51.071)	Prec@5 77.344 (80.821)
Epoch: [65][11320/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 1.7097 (1.8781)	Prec@1 57.031 (51.070)	Prec@5 84.375 (80.820)
Epoch: [65][11330/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.0941 (1.8782)	Prec@1 46.094 (51.069)	Prec@5 75.000 (80.819)
Epoch: [65][11340/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 1.8295 (1.8782)	Prec@1 53.125 (51.069)	Prec@5 85.938 (80.819)
Epoch: [65][11350/14090]	Time 0.724 (0.766)	Data 0.001 (0.001)	Loss 2.0520 (1.8782)	Prec@1 53.906 (51.069)	Prec@5 75.781 (80.819)
Epoch: [65][11360/14090]	Time 0.874 (0.766)	Data 0.001 (0.001)	Loss 1.8049 (1.8783)	Prec@1 50.781 (51.066)	Prec@5 81.250 (80.818)
Epoch: [65][11370/14090]	Time 0.775 (0.766)	Data 0.001 (0.001)	Loss 1.7596 (1.8783)	Prec@1 50.000 (51.067)	Prec@5 82.812 (80.819)
Epoch: [65][11380/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 1.5046 (1.8783)	Prec@1 60.938 (51.066)	Prec@5 85.156 (80.819)
Epoch: [65][11390/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 1.9483 (1.8782)	Prec@1 48.438 (51.066)	Prec@5 85.156 (80.820)
Epoch: [65][11400/14090]	Time 0.780 (0.766)	Data 0.001 (0.001)	Loss 1.8541 (1.8782)	Prec@1 46.875 (51.067)	Prec@5 81.250 (80.819)
Epoch: [65][11410/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 1.8085 (1.8782)	Prec@1 57.031 (51.067)	Prec@5 85.156 (80.820)
Epoch: [65][11420/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 1.9593 (1.8783)	Prec@1 51.562 (51.066)	Prec@5 82.031 (80.820)
Epoch: [65][11430/14090]	Time 0.878 (0.766)	Data 0.001 (0.001)	Loss 2.1209 (1.8783)	Prec@1 46.094 (51.065)	Prec@5 77.344 (80.820)
Epoch: [65][11440/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.0514 (1.8782)	Prec@1 47.656 (51.067)	Prec@5 77.344 (80.821)
Epoch: [65][11450/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 1.7462 (1.8783)	Prec@1 54.688 (51.066)	Prec@5 84.375 (80.820)
Epoch: [65][11460/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 1.6939 (1.8782)	Prec@1 54.688 (51.067)	Prec@5 87.500 (80.821)
Epoch: [65][11470/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 1.6494 (1.8782)	Prec@1 57.812 (51.068)	Prec@5 85.938 (80.821)
Epoch: [65][11480/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 1.8648 (1.8782)	Prec@1 50.781 (51.067)	Prec@5 82.031 (80.821)
Epoch: [65][11490/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 1.8206 (1.8782)	Prec@1 50.000 (51.066)	Prec@5 80.469 (80.821)
Epoch: [65][11500/14090]	Time 0.887 (0.766)	Data 0.001 (0.001)	Loss 1.8980 (1.8782)	Prec@1 53.125 (51.066)	Prec@5 82.031 (80.821)
Epoch: [65][11510/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 1.9528 (1.8782)	Prec@1 51.562 (51.067)	Prec@5 81.250 (80.822)
Epoch: [65][11520/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.0072 (1.8782)	Prec@1 45.312 (51.065)	Prec@5 82.031 (80.823)
Epoch: [65][11530/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 1.8372 (1.8783)	Prec@1 50.781 (51.065)	Prec@5 78.906 (80.822)
Epoch: [65][11540/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 1.7937 (1.8783)	Prec@1 50.781 (51.064)	Prec@5 83.594 (80.822)
Epoch: [65][11550/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 1.6620 (1.8782)	Prec@1 59.375 (51.066)	Prec@5 84.375 (80.823)
Epoch: [65][11560/14090]	Time 0.767 (0.766)	Data 0.001 (0.001)	Loss 1.9518 (1.8783)	Prec@1 49.219 (51.065)	Prec@5 79.688 (80.822)
Epoch: [65][11570/14090]	Time 0.858 (0.766)	Data 0.001 (0.001)	Loss 1.7767 (1.8783)	Prec@1 57.031 (51.065)	Prec@5 82.031 (80.821)
Epoch: [65][11580/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 1.9194 (1.8784)	Prec@1 46.875 (51.065)	Prec@5 78.906 (80.820)
Epoch: [65][11590/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 1.7258 (1.8784)	Prec@1 55.469 (51.066)	Prec@5 87.500 (80.821)
Epoch: [65][11600/14090]	Time 0.724 (0.766)	Data 0.001 (0.001)	Loss 1.8154 (1.8783)	Prec@1 55.469 (51.066)	Prec@5 83.594 (80.823)
Epoch: [65][11610/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 1.7353 (1.8783)	Prec@1 57.031 (51.066)	Prec@5 79.688 (80.823)
Epoch: [65][11620/14090]	Time 0.771 (0.766)	Data 0.001 (0.001)	Loss 1.9547 (1.8783)	Prec@1 53.906 (51.066)	Prec@5 81.250 (80.822)
Epoch: [65][11630/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 1.9980 (1.8784)	Prec@1 45.312 (51.066)	Prec@5 80.469 (80.822)
Epoch: [65][11640/14090]	Time 0.846 (0.766)	Data 0.001 (0.001)	Loss 1.9514 (1.8784)	Prec@1 50.000 (51.064)	Prec@5 75.000 (80.822)
Epoch: [65][11650/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.1167 (1.8784)	Prec@1 43.750 (51.062)	Prec@5 78.125 (80.820)
Epoch: [65][11660/14090]	Time 0.724 (0.766)	Data 0.001 (0.001)	Loss 1.6623 (1.8783)	Prec@1 51.562 (51.065)	Prec@5 86.719 (80.822)
Epoch: [65][11670/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 1.7434 (1.8783)	Prec@1 53.906 (51.063)	Prec@5 82.031 (80.821)
Epoch: [65][11680/14090]	Time 0.773 (0.766)	Data 0.001 (0.001)	Loss 1.9013 (1.8783)	Prec@1 46.875 (51.063)	Prec@5 80.469 (80.821)
Epoch: [65][11690/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.0148 (1.8783)	Prec@1 45.312 (51.063)	Prec@5 78.125 (80.822)
Epoch: [65][11700/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.1680 (1.8783)	Prec@1 42.969 (51.062)	Prec@5 75.000 (80.822)
Epoch: [65][11710/14090]	Time 0.885 (0.766)	Data 0.001 (0.001)	Loss 1.9421 (1.8784)	Prec@1 46.875 (51.062)	Prec@5 82.031 (80.822)
Epoch: [65][11720/14090]	Time 0.770 (0.766)	Data 0.001 (0.001)	Loss 1.7175 (1.8784)	Prec@1 57.031 (51.061)	Prec@5 81.250 (80.822)
Epoch: [65][11730/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.0157 (1.8784)	Prec@1 50.000 (51.061)	Prec@5 78.125 (80.821)
Epoch: [65][11740/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 1.7125 (1.8783)	Prec@1 58.594 (51.062)	Prec@5 82.812 (80.823)
Epoch: [65][11750/14090]	Time 0.778 (0.766)	Data 0.001 (0.001)	Loss 1.7680 (1.8783)	Prec@1 55.469 (51.063)	Prec@5 80.469 (80.823)
Epoch: [65][11760/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 1.9485 (1.8784)	Prec@1 53.125 (51.061)	Prec@5 79.688 (80.821)
Epoch: [65][11770/14090]	Time 0.770 (0.766)	Data 0.001 (0.001)	Loss 1.9642 (1.8784)	Prec@1 48.438 (51.060)	Prec@5 76.562 (80.820)
Epoch: [65][11780/14090]	Time 0.896 (0.766)	Data 0.001 (0.001)	Loss 2.1791 (1.8784)	Prec@1 42.969 (51.059)	Prec@5 72.656 (80.820)
Epoch: [65][11790/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 1.9252 (1.8785)	Prec@1 48.438 (51.059)	Prec@5 80.469 (80.819)
Epoch: [65][11800/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 1.8797 (1.8785)	Prec@1 49.219 (51.060)	Prec@5 79.688 (80.819)
Epoch: [65][11810/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 1.7534 (1.8784)	Prec@1 53.125 (51.060)	Prec@5 82.031 (80.818)
Epoch: [65][11820/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 1.8816 (1.8784)	Prec@1 52.344 (51.060)	Prec@5 80.469 (80.818)
Epoch: [65][11830/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 1.7947 (1.8784)	Prec@1 53.906 (51.060)	Prec@5 84.375 (80.818)
Epoch: [65][11840/14090]	Time 0.767 (0.766)	Data 0.001 (0.001)	Loss 1.8791 (1.8784)	Prec@1 48.438 (51.062)	Prec@5 80.469 (80.818)
Epoch: [65][11850/14090]	Time 0.875 (0.766)	Data 0.001 (0.001)	Loss 1.8900 (1.8784)	Prec@1 52.344 (51.063)	Prec@5 81.250 (80.817)
Epoch: [65][11860/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 1.9984 (1.8784)	Prec@1 50.000 (51.063)	Prec@5 81.250 (80.818)
Epoch: [65][11870/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 1.5507 (1.8784)	Prec@1 59.375 (51.063)	Prec@5 85.156 (80.818)
Epoch: [65][11880/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 1.6740 (1.8785)	Prec@1 54.688 (51.062)	Prec@5 86.719 (80.818)
Epoch: [65][11890/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 1.7131 (1.8784)	Prec@1 50.000 (51.063)	Prec@5 81.250 (80.819)
Epoch: [65][11900/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 1.7140 (1.8784)	Prec@1 59.375 (51.063)	Prec@5 85.156 (80.819)
Epoch: [65][11910/14090]	Time 0.724 (0.766)	Data 0.001 (0.001)	Loss 1.8992 (1.8784)	Prec@1 52.344 (51.063)	Prec@5 82.031 (80.819)
Epoch: [65][11920/14090]	Time 0.880 (0.766)	Data 0.001 (0.001)	Loss 1.9774 (1.8784)	Prec@1 43.750 (51.062)	Prec@5 78.906 (80.819)
Epoch: [65][11930/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.2418 (1.8784)	Prec@1 44.531 (51.061)	Prec@5 75.000 (80.819)
Epoch: [65][11940/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 1.8723 (1.8784)	Prec@1 50.781 (51.061)	Prec@5 77.344 (80.818)
Epoch: [65][11950/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.0870 (1.8784)	Prec@1 42.969 (51.060)	Prec@5 77.344 (80.819)
Epoch: [65][11960/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 1.9352 (1.8784)	Prec@1 50.781 (51.059)	Prec@5 79.688 (80.819)
Epoch: [65][11970/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.0768 (1.8783)	Prec@1 42.969 (51.060)	Prec@5 78.906 (80.820)
Epoch: [65][11980/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 1.7969 (1.8784)	Prec@1 49.219 (51.060)	Prec@5 85.156 (80.820)
Epoch: [65][11990/14090]	Time 0.859 (0.766)	Data 0.001 (0.001)	Loss 1.8369 (1.8784)	Prec@1 51.562 (51.060)	Prec@5 80.469 (80.820)
Epoch: [65][12000/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.1412 (1.8784)	Prec@1 46.875 (51.059)	Prec@5 78.125 (80.820)
Epoch: [65][12010/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 1.9050 (1.8784)	Prec@1 50.000 (51.059)	Prec@5 82.031 (80.821)
Epoch: [65][12020/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.0176 (1.8784)	Prec@1 48.438 (51.060)	Prec@5 78.125 (80.820)
Epoch: [65][12030/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 1.5137 (1.8784)	Prec@1 57.031 (51.059)	Prec@5 89.062 (80.822)
Epoch: [65][12040/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.1464 (1.8784)	Prec@1 40.625 (51.059)	Prec@5 75.781 (80.823)
Epoch: [65][12050/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 1.8749 (1.8784)	Prec@1 52.344 (51.059)	Prec@5 79.688 (80.824)
Epoch: [65][12060/14090]	Time 0.911 (0.766)	Data 0.001 (0.001)	Loss 1.6517 (1.8783)	Prec@1 58.594 (51.061)	Prec@5 85.156 (80.825)
Epoch: [65][12070/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.1746 (1.8784)	Prec@1 43.750 (51.059)	Prec@5 73.438 (80.823)
Epoch: [65][12080/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 1.9949 (1.8783)	Prec@1 47.656 (51.060)	Prec@5 77.344 (80.822)
Epoch: [65][12090/14090]	Time 0.722 (0.766)	Data 0.001 (0.001)	Loss 1.6473 (1.8783)	Prec@1 57.812 (51.060)	Prec@5 85.938 (80.823)
Epoch: [65][12100/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 1.6674 (1.8783)	Prec@1 60.156 (51.061)	Prec@5 82.031 (80.823)
Epoch: [65][12110/14090]	Time 0.772 (0.766)	Data 0.001 (0.001)	Loss 1.7864 (1.8783)	Prec@1 48.438 (51.060)	Prec@5 82.812 (80.822)
Epoch: [65][12120/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 1.9190 (1.8783)	Prec@1 52.344 (51.060)	Prec@5 81.250 (80.824)
Epoch: [65][12130/14090]	Time 0.863 (0.766)	Data 0.001 (0.001)	Loss 1.7846 (1.8783)	Prec@1 50.781 (51.061)	Prec@5 81.250 (80.824)
Epoch: [65][12140/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 1.7945 (1.8783)	Prec@1 50.781 (51.061)	Prec@5 82.812 (80.824)
Epoch: [65][12150/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 1.7426 (1.8784)	Prec@1 51.562 (51.058)	Prec@5 80.469 (80.822)
Epoch: [65][12160/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.2281 (1.8784)	Prec@1 46.094 (51.057)	Prec@5 74.219 (80.822)
Epoch: [65][12170/14090]	Time 0.772 (0.766)	Data 0.001 (0.001)	Loss 1.7851 (1.8784)	Prec@1 50.781 (51.056)	Prec@5 82.812 (80.821)
Epoch: [65][12180/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 1.8414 (1.8783)	Prec@1 50.781 (51.058)	Prec@5 82.031 (80.822)
Epoch: [65][12190/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.0566 (1.8783)	Prec@1 48.438 (51.059)	Prec@5 81.250 (80.822)
Epoch: [65][12200/14090]	Time 0.869 (0.766)	Data 0.001 (0.001)	Loss 1.9768 (1.8783)	Prec@1 48.438 (51.060)	Prec@5 79.688 (80.822)
Epoch: [65][12210/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 1.7811 (1.8783)	Prec@1 53.906 (51.061)	Prec@5 83.594 (80.822)
Epoch: [65][12220/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 1.8358 (1.8783)	Prec@1 50.000 (51.060)	Prec@5 79.688 (80.821)
Epoch: [65][12230/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 1.8510 (1.8784)	Prec@1 53.125 (51.060)	Prec@5 80.469 (80.820)
Epoch: [65][12240/14090]	Time 0.776 (0.766)	Data 0.001 (0.001)	Loss 1.9777 (1.8783)	Prec@1 46.875 (51.061)	Prec@5 77.344 (80.821)
Epoch: [65][12250/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 1.8054 (1.8784)	Prec@1 53.906 (51.061)	Prec@5 78.125 (80.819)
Epoch: [65][12260/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 1.9286 (1.8784)	Prec@1 53.906 (51.061)	Prec@5 78.125 (80.820)
Epoch: [65][12270/14090]	Time 0.881 (0.766)	Data 0.001 (0.001)	Loss 1.8310 (1.8784)	Prec@1 54.688 (51.061)	Prec@5 82.812 (80.819)
Epoch: [65][12280/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.0178 (1.8785)	Prec@1 50.000 (51.060)	Prec@5 79.688 (80.817)
Epoch: [65][12290/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 1.7614 (1.8786)	Prec@1 52.344 (51.057)	Prec@5 82.812 (80.816)
Epoch: [65][12300/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 1.6800 (1.8785)	Prec@1 53.906 (51.057)	Prec@5 83.594 (80.817)
Epoch: [65][12310/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 1.8013 (1.8786)	Prec@1 57.031 (51.057)	Prec@5 80.469 (80.816)
Epoch: [65][12320/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 1.7775 (1.8785)	Prec@1 54.688 (51.058)	Prec@5 81.250 (80.817)
Epoch: [65][12330/14090]	Time 0.722 (0.766)	Data 0.001 (0.001)	Loss 2.0274 (1.8786)	Prec@1 50.781 (51.057)	Prec@5 75.781 (80.816)
Epoch: [65][12340/14090]	Time 0.893 (0.766)	Data 0.002 (0.001)	Loss 1.6005 (1.8786)	Prec@1 57.812 (51.057)	Prec@5 84.375 (80.815)
Epoch: [65][12350/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 1.6924 (1.8786)	Prec@1 53.906 (51.056)	Prec@5 82.812 (80.814)
Epoch: [65][12360/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 1.7477 (1.8786)	Prec@1 54.688 (51.056)	Prec@5 81.250 (80.814)
Epoch: [65][12370/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 1.7475 (1.8786)	Prec@1 53.906 (51.057)	Prec@5 84.375 (80.814)
Epoch: [65][12380/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 1.8497 (1.8786)	Prec@1 55.469 (51.056)	Prec@5 81.250 (80.814)
Epoch: [65][12390/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 1.9812 (1.8786)	Prec@1 49.219 (51.055)	Prec@5 79.688 (80.815)
Epoch: [65][12400/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 1.9423 (1.8786)	Prec@1 47.656 (51.055)	Prec@5 78.125 (80.814)
Epoch: [65][12410/14090]	Time 0.859 (0.766)	Data 0.001 (0.001)	Loss 1.8749 (1.8785)	Prec@1 58.594 (51.057)	Prec@5 76.562 (80.815)
Epoch: [65][12420/14090]	Time 0.776 (0.766)	Data 0.001 (0.001)	Loss 2.0526 (1.8786)	Prec@1 48.438 (51.056)	Prec@5 77.344 (80.815)
Epoch: [65][12430/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 1.7134 (1.8786)	Prec@1 53.125 (51.055)	Prec@5 82.812 (80.813)
Epoch: [65][12440/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 1.8224 (1.8786)	Prec@1 51.562 (51.056)	Prec@5 83.594 (80.815)
Epoch: [65][12450/14090]	Time 0.765 (0.766)	Data 0.001 (0.001)	Loss 2.0124 (1.8786)	Prec@1 46.094 (51.056)	Prec@5 76.562 (80.814)
Epoch: [65][12460/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 1.9378 (1.8785)	Prec@1 50.000 (51.057)	Prec@5 78.125 (80.814)
Epoch: [65][12470/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 1.7834 (1.8784)	Prec@1 46.094 (51.060)	Prec@5 82.031 (80.815)
Epoch: [65][12480/14090]	Time 0.878 (0.766)	Data 0.001 (0.001)	Loss 1.4273 (1.8784)	Prec@1 58.594 (51.061)	Prec@5 85.156 (80.816)
Epoch: [65][12490/14090]	Time 0.765 (0.766)	Data 0.001 (0.001)	Loss 1.7716 (1.8784)	Prec@1 58.594 (51.060)	Prec@5 80.469 (80.816)
Epoch: [65][12500/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 2.0538 (1.8784)	Prec@1 53.906 (51.060)	Prec@5 76.562 (80.815)
Epoch: [65][12510/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 1.8432 (1.8784)	Prec@1 53.125 (51.061)	Prec@5 79.688 (80.815)
Epoch: [65][12520/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 1.8180 (1.8785)	Prec@1 43.750 (51.059)	Prec@5 85.938 (80.814)
Epoch: [65][12530/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 1.7901 (1.8785)	Prec@1 56.250 (51.058)	Prec@5 82.031 (80.813)
Epoch: [65][12540/14090]	Time 0.770 (0.766)	Data 0.001 (0.001)	Loss 1.9884 (1.8786)	Prec@1 50.000 (51.057)	Prec@5 79.688 (80.813)
Epoch: [65][12550/14090]	Time 0.863 (0.766)	Data 0.001 (0.001)	Loss 1.8505 (1.8785)	Prec@1 50.000 (51.057)	Prec@5 82.812 (80.813)
Epoch: [65][12560/14090]	Time 0.770 (0.766)	Data 0.001 (0.001)	Loss 1.7803 (1.8785)	Prec@1 50.000 (51.057)	Prec@5 82.031 (80.814)
Epoch: [65][12570/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 1.8425 (1.8785)	Prec@1 50.000 (51.057)	Prec@5 79.688 (80.814)
Epoch: [65][12580/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 1.7627 (1.8785)	Prec@1 56.250 (51.056)	Prec@5 83.594 (80.814)
Epoch: [65][12590/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 1.9480 (1.8786)	Prec@1 47.656 (51.055)	Prec@5 77.344 (80.812)
Epoch: [65][12600/14090]	Time 0.768 (0.766)	Data 0.001 (0.001)	Loss 1.9075 (1.8787)	Prec@1 53.906 (51.054)	Prec@5 78.906 (80.810)
Epoch: [65][12610/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 1.8446 (1.8787)	Prec@1 54.688 (51.054)	Prec@5 81.250 (80.810)
Epoch: [65][12620/14090]	Time 0.875 (0.766)	Data 0.001 (0.001)	Loss 1.9207 (1.8787)	Prec@1 50.000 (51.054)	Prec@5 81.250 (80.809)
Epoch: [65][12630/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.0598 (1.8788)	Prec@1 44.531 (51.050)	Prec@5 77.344 (80.808)
Epoch: [65][12640/14090]	Time 0.769 (0.766)	Data 0.001 (0.001)	Loss 1.9019 (1.8788)	Prec@1 52.344 (51.051)	Prec@5 81.250 (80.809)
Epoch: [65][12650/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 1.9775 (1.8789)	Prec@1 51.562 (51.052)	Prec@5 74.219 (80.808)
Epoch: [65][12660/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 1.9954 (1.8789)	Prec@1 48.438 (51.052)	Prec@5 78.906 (80.807)
Epoch: [65][12670/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 1.6912 (1.8789)	Prec@1 50.781 (51.052)	Prec@5 82.031 (80.806)
Epoch: [65][12680/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 1.9847 (1.8788)	Prec@1 48.438 (51.053)	Prec@5 75.781 (80.806)
Epoch: [65][12690/14090]	Time 0.883 (0.766)	Data 0.001 (0.001)	Loss 1.5805 (1.8788)	Prec@1 54.688 (51.054)	Prec@5 88.281 (80.807)
Epoch: [65][12700/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 1.7897 (1.8788)	Prec@1 50.000 (51.054)	Prec@5 86.719 (80.807)
Epoch: [65][12710/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.2568 (1.8787)	Prec@1 44.531 (51.055)	Prec@5 75.000 (80.807)
Epoch: [65][12720/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.1231 (1.8788)	Prec@1 49.219 (51.056)	Prec@5 77.344 (80.805)
Epoch: [65][12730/14090]	Time 0.722 (0.766)	Data 0.001 (0.001)	Loss 1.7999 (1.8787)	Prec@1 51.562 (51.058)	Prec@5 82.031 (80.808)
Epoch: [65][12740/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 1.7989 (1.8787)	Prec@1 53.906 (51.058)	Prec@5 82.812 (80.808)
Epoch: [65][12750/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 1.9631 (1.8787)	Prec@1 53.125 (51.058)	Prec@5 77.344 (80.809)
Epoch: [65][12760/14090]	Time 0.884 (0.766)	Data 0.001 (0.001)	Loss 2.0478 (1.8787)	Prec@1 50.781 (51.057)	Prec@5 75.000 (80.809)
Epoch: [65][12770/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 1.9847 (1.8787)	Prec@1 48.438 (51.057)	Prec@5 76.562 (80.809)
Epoch: [65][12780/14090]	Time 0.729 (0.766)	Data 0.002 (0.001)	Loss 1.9778 (1.8787)	Prec@1 48.438 (51.055)	Prec@5 79.688 (80.807)
Epoch: [65][12790/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.1032 (1.8787)	Prec@1 48.438 (51.056)	Prec@5 71.875 (80.807)
Epoch: [65][12800/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 1.8572 (1.8787)	Prec@1 52.344 (51.054)	Prec@5 82.812 (80.807)
Epoch: [65][12810/14090]	Time 0.760 (0.766)	Data 0.005 (0.001)	Loss 2.0411 (1.8788)	Prec@1 45.312 (51.053)	Prec@5 78.906 (80.805)
Epoch: [65][12820/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 1.8448 (1.8788)	Prec@1 52.344 (51.053)	Prec@5 82.031 (80.805)
Epoch: [65][12830/14090]	Time 0.931 (0.766)	Data 0.001 (0.001)	Loss 1.9296 (1.8789)	Prec@1 56.250 (51.053)	Prec@5 82.031 (80.804)
Epoch: [65][12840/14090]	Time 0.768 (0.766)	Data 0.001 (0.001)	Loss 1.9107 (1.8789)	Prec@1 50.000 (51.054)	Prec@5 80.469 (80.805)
Epoch: [65][12850/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 1.8640 (1.8789)	Prec@1 53.125 (51.054)	Prec@5 76.562 (80.804)
Epoch: [65][12860/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 1.9264 (1.8789)	Prec@1 53.125 (51.055)	Prec@5 81.250 (80.804)
Epoch: [65][12870/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 1.8845 (1.8789)	Prec@1 47.656 (51.055)	Prec@5 82.031 (80.803)
Epoch: [65][12880/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 1.8123 (1.8789)	Prec@1 53.906 (51.054)	Prec@5 82.812 (80.803)
Epoch: [65][12890/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 1.7664 (1.8789)	Prec@1 50.000 (51.053)	Prec@5 85.156 (80.803)
Epoch: [65][12900/14090]	Time 0.889 (0.766)	Data 0.001 (0.001)	Loss 2.1300 (1.8790)	Prec@1 46.094 (51.053)	Prec@5 78.125 (80.803)
Epoch: [65][12910/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 1.8864 (1.8790)	Prec@1 47.656 (51.051)	Prec@5 81.250 (80.802)
Epoch: [65][12920/14090]	Time 0.757 (0.766)	Data 0.003 (0.001)	Loss 2.0102 (1.8791)	Prec@1 49.219 (51.049)	Prec@5 78.906 (80.801)
Epoch: [65][12930/14090]	Time 0.775 (0.766)	Data 0.001 (0.001)	Loss 1.7319 (1.8790)	Prec@1 54.688 (51.051)	Prec@5 83.594 (80.802)
Epoch: [65][12940/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 1.7862 (1.8790)	Prec@1 53.906 (51.051)	Prec@5 82.812 (80.803)
Epoch: [65][12950/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.1671 (1.8791)	Prec@1 46.875 (51.052)	Prec@5 78.906 (80.803)
Epoch: [65][12960/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 1.8946 (1.8791)	Prec@1 51.562 (51.051)	Prec@5 82.812 (80.803)
Epoch: [65][12970/14090]	Time 0.851 (0.766)	Data 0.001 (0.001)	Loss 2.0777 (1.8790)	Prec@1 50.000 (51.052)	Prec@5 77.344 (80.804)
Epoch: [65][12980/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 1.8895 (1.8790)	Prec@1 46.875 (51.052)	Prec@5 78.906 (80.804)
Epoch: [65][12990/14090]	Time 0.724 (0.766)	Data 0.001 (0.001)	Loss 1.8233 (1.8790)	Prec@1 51.562 (51.053)	Prec@5 84.375 (80.804)
Epoch: [65][13000/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 1.7570 (1.8790)	Prec@1 57.812 (51.054)	Prec@5 84.375 (80.804)
Epoch: [65][13010/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 1.7725 (1.8790)	Prec@1 53.125 (51.053)	Prec@5 82.031 (80.804)
Epoch: [65][13020/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.0813 (1.8790)	Prec@1 46.875 (51.053)	Prec@5 71.094 (80.803)
Epoch: [65][13030/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 1.8651 (1.8791)	Prec@1 54.688 (51.053)	Prec@5 82.812 (80.803)
Epoch: [65][13040/14090]	Time 0.888 (0.766)	Data 0.001 (0.001)	Loss 2.0247 (1.8791)	Prec@1 48.438 (51.052)	Prec@5 73.438 (80.803)
Epoch: [65][13050/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 1.7543 (1.8790)	Prec@1 56.250 (51.053)	Prec@5 81.250 (80.804)
Epoch: [65][13060/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 1.7703 (1.8790)	Prec@1 54.688 (51.054)	Prec@5 82.812 (80.806)
Epoch: [65][13070/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.1245 (1.8790)	Prec@1 49.219 (51.053)	Prec@5 78.906 (80.804)
Epoch: [65][13080/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 1.8721 (1.8790)	Prec@1 55.469 (51.053)	Prec@5 82.031 (80.805)
Epoch: [65][13090/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.0349 (1.8791)	Prec@1 52.344 (51.054)	Prec@5 78.125 (80.804)
Epoch: [65][13100/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 1.6697 (1.8790)	Prec@1 55.469 (51.055)	Prec@5 80.469 (80.805)
Epoch: [65][13110/14090]	Time 0.863 (0.766)	Data 0.001 (0.001)	Loss 1.8533 (1.8791)	Prec@1 57.812 (51.055)	Prec@5 82.812 (80.804)
Epoch: [65][13120/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 1.5877 (1.8791)	Prec@1 55.469 (51.055)	Prec@5 82.031 (80.804)
Epoch: [65][13130/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 1.7391 (1.8790)	Prec@1 53.906 (51.057)	Prec@5 83.594 (80.804)
Epoch: [65][13140/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 1.7518 (1.8790)	Prec@1 50.781 (51.057)	Prec@5 83.594 (80.804)
Epoch: [65][13150/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 1.6499 (1.8790)	Prec@1 54.688 (51.056)	Prec@5 87.500 (80.804)
Epoch: [65][13160/14090]	Time 0.771 (0.766)	Data 0.001 (0.001)	Loss 2.1327 (1.8790)	Prec@1 46.875 (51.057)	Prec@5 72.656 (80.804)
Epoch: [65][13170/14090]	Time 0.773 (0.766)	Data 0.001 (0.001)	Loss 1.8594 (1.8790)	Prec@1 44.531 (51.056)	Prec@5 84.375 (80.804)
Epoch: [65][13180/14090]	Time 0.882 (0.766)	Data 0.001 (0.001)	Loss 1.8978 (1.8791)	Prec@1 50.781 (51.055)	Prec@5 81.250 (80.804)
Epoch: [65][13190/14090]	Time 0.717 (0.766)	Data 0.001 (0.001)	Loss 1.8703 (1.8791)	Prec@1 61.719 (51.054)	Prec@5 77.344 (80.802)
Epoch: [65][13200/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 1.7383 (1.8791)	Prec@1 53.906 (51.054)	Prec@5 83.594 (80.803)
Epoch: [65][13210/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 1.7601 (1.8791)	Prec@1 59.375 (51.056)	Prec@5 84.375 (80.804)
Epoch: [65][13220/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 1.8362 (1.8791)	Prec@1 53.906 (51.056)	Prec@5 81.250 (80.803)
Epoch: [65][13230/14090]	Time 0.721 (0.766)	Data 0.001 (0.001)	Loss 2.0099 (1.8791)	Prec@1 52.344 (51.056)	Prec@5 77.344 (80.803)
Epoch: [65][13240/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 1.8737 (1.8791)	Prec@1 50.000 (51.056)	Prec@5 79.688 (80.803)
Epoch: [65][13250/14090]	Time 0.876 (0.766)	Data 0.001 (0.001)	Loss 1.8599 (1.8791)	Prec@1 52.344 (51.056)	Prec@5 81.250 (80.803)
Epoch: [65][13260/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 1.9691 (1.8791)	Prec@1 47.656 (51.056)	Prec@5 80.469 (80.803)
Epoch: [65][13270/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 1.9122 (1.8791)	Prec@1 48.438 (51.056)	Prec@5 80.469 (80.802)
Epoch: [65][13280/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 1.6903 (1.8791)	Prec@1 53.125 (51.055)	Prec@5 84.375 (80.801)
Epoch: [65][13290/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.0438 (1.8791)	Prec@1 46.875 (51.053)	Prec@5 75.781 (80.801)
Epoch: [65][13300/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 1.8157 (1.8791)	Prec@1 57.031 (51.053)	Prec@5 82.031 (80.802)
Epoch: [65][13310/14090]	Time 0.756 (0.766)	Data 0.002 (0.001)	Loss 2.0645 (1.8791)	Prec@1 46.094 (51.052)	Prec@5 75.000 (80.802)
Epoch: [65][13320/14090]	Time 0.873 (0.766)	Data 0.001 (0.001)	Loss 1.8125 (1.8791)	Prec@1 54.688 (51.052)	Prec@5 81.250 (80.802)
Epoch: [65][13330/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 1.7300 (1.8791)	Prec@1 52.344 (51.051)	Prec@5 85.938 (80.803)
Epoch: [65][13340/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 1.7036 (1.8790)	Prec@1 55.469 (51.052)	Prec@5 82.812 (80.804)
Epoch: [65][13350/14090]	Time 0.770 (0.766)	Data 0.001 (0.001)	Loss 2.0655 (1.8790)	Prec@1 50.000 (51.052)	Prec@5 75.781 (80.803)
Epoch: [65][13360/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 1.7777 (1.8790)	Prec@1 54.688 (51.053)	Prec@5 83.594 (80.803)
Epoch: [65][13370/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 1.7058 (1.8790)	Prec@1 55.469 (51.054)	Prec@5 81.250 (80.801)
Epoch: [65][13380/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 1.9474 (1.8789)	Prec@1 48.438 (51.055)	Prec@5 75.781 (80.802)
Epoch: [65][13390/14090]	Time 0.849 (0.766)	Data 0.001 (0.001)	Loss 2.0977 (1.8790)	Prec@1 49.219 (51.055)	Prec@5 77.344 (80.801)
Epoch: [65][13400/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.0577 (1.8791)	Prec@1 42.969 (51.054)	Prec@5 78.125 (80.800)
Epoch: [65][13410/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 1.7738 (1.8790)	Prec@1 52.344 (51.055)	Prec@5 78.906 (80.801)
Epoch: [65][13420/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 1.8983 (1.8790)	Prec@1 49.219 (51.056)	Prec@5 78.906 (80.802)
Epoch: [65][13430/14090]	Time 0.752 (0.766)	Data 0.002 (0.001)	Loss 1.8229 (1.8789)	Prec@1 55.469 (51.057)	Prec@5 80.469 (80.803)
Epoch: [65][13440/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 1.7968 (1.8789)	Prec@1 53.125 (51.059)	Prec@5 82.031 (80.804)
Epoch: [65][13450/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 1.8064 (1.8789)	Prec@1 54.688 (51.059)	Prec@5 82.812 (80.803)
Epoch: [65][13460/14090]	Time 0.844 (0.766)	Data 0.001 (0.001)	Loss 1.8712 (1.8789)	Prec@1 54.688 (51.059)	Prec@5 82.031 (80.802)
Epoch: [65][13470/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.2490 (1.8790)	Prec@1 39.844 (51.058)	Prec@5 74.219 (80.800)
Epoch: [65][13480/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 1.8915 (1.8790)	Prec@1 52.344 (51.058)	Prec@5 78.125 (80.800)
Epoch: [65][13490/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.0550 (1.8791)	Prec@1 46.094 (51.056)	Prec@5 78.906 (80.798)
Epoch: [65][13500/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 1.7446 (1.8791)	Prec@1 50.000 (51.054)	Prec@5 86.719 (80.797)
Epoch: [65][13510/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 1.8181 (1.8791)	Prec@1 56.250 (51.055)	Prec@5 80.469 (80.797)
Epoch: [65][13520/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.0267 (1.8791)	Prec@1 49.219 (51.056)	Prec@5 76.562 (80.797)
Epoch: [65][13530/14090]	Time 0.899 (0.766)	Data 0.001 (0.001)	Loss 2.1613 (1.8792)	Prec@1 50.000 (51.054)	Prec@5 75.781 (80.796)
Epoch: [65][13540/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 1.7017 (1.8793)	Prec@1 55.469 (51.054)	Prec@5 85.156 (80.797)
Epoch: [65][13550/14090]	Time 0.775 (0.766)	Data 0.001 (0.001)	Loss 1.9067 (1.8793)	Prec@1 51.562 (51.055)	Prec@5 79.688 (80.797)
Epoch: [65][13560/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 1.8960 (1.8793)	Prec@1 46.875 (51.054)	Prec@5 83.594 (80.797)
Epoch: [65][13570/14090]	Time 0.769 (0.766)	Data 0.001 (0.001)	Loss 1.8243 (1.8792)	Prec@1 56.250 (51.055)	Prec@5 78.125 (80.797)
Epoch: [65][13580/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 1.9857 (1.8793)	Prec@1 46.875 (51.054)	Prec@5 75.781 (80.796)
Epoch: [65][13590/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 2.0226 (1.8793)	Prec@1 48.438 (51.054)	Prec@5 73.438 (80.795)
Epoch: [65][13600/14090]	Time 0.834 (0.766)	Data 0.001 (0.001)	Loss 1.8937 (1.8792)	Prec@1 52.344 (51.055)	Prec@5 81.250 (80.796)
Epoch: [65][13610/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 1.9120 (1.8792)	Prec@1 50.000 (51.053)	Prec@5 80.469 (80.796)
Epoch: [65][13620/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 1.7886 (1.8792)	Prec@1 50.000 (51.055)	Prec@5 83.594 (80.796)
Epoch: [65][13630/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 1.8673 (1.8792)	Prec@1 49.219 (51.055)	Prec@5 79.688 (80.796)
Epoch: [65][13640/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 1.6217 (1.8792)	Prec@1 57.031 (51.055)	Prec@5 83.594 (80.797)
Epoch: [65][13650/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 1.8189 (1.8792)	Prec@1 54.688 (51.055)	Prec@5 76.562 (80.797)
Epoch: [65][13660/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 1.7190 (1.8791)	Prec@1 53.125 (51.057)	Prec@5 81.250 (80.799)
Epoch: [65][13670/14090]	Time 0.834 (0.766)	Data 0.001 (0.001)	Loss 1.7638 (1.8791)	Prec@1 50.781 (51.057)	Prec@5 82.812 (80.799)
Epoch: [65][13680/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 1.7734 (1.8792)	Prec@1 51.562 (51.056)	Prec@5 78.125 (80.797)
Epoch: [65][13690/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 1.6936 (1.8791)	Prec@1 59.375 (51.058)	Prec@5 82.812 (80.799)
Epoch: [65][13700/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 1.9591 (1.8791)	Prec@1 50.781 (51.057)	Prec@5 80.469 (80.798)
Epoch: [65][13710/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.1240 (1.8793)	Prec@1 42.969 (51.055)	Prec@5 76.562 (80.796)
Epoch: [65][13720/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 1.7911 (1.8793)	Prec@1 55.469 (51.054)	Prec@5 82.812 (80.795)
Epoch: [65][13730/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.0759 (1.8793)	Prec@1 45.312 (51.054)	Prec@5 76.562 (80.796)
Epoch: [65][13740/14090]	Time 0.892 (0.766)	Data 0.001 (0.001)	Loss 1.8893 (1.8792)	Prec@1 53.906 (51.056)	Prec@5 84.375 (80.796)
Epoch: [65][13750/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 1.8941 (1.8792)	Prec@1 48.438 (51.056)	Prec@5 77.344 (80.796)
Epoch: [65][13760/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.0528 (1.8792)	Prec@1 48.438 (51.056)	Prec@5 79.688 (80.797)
Epoch: [65][13770/14090]	Time 0.780 (0.766)	Data 0.001 (0.001)	Loss 1.8440 (1.8792)	Prec@1 54.688 (51.055)	Prec@5 82.031 (80.797)
Epoch: [65][13780/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 1.8510 (1.8792)	Prec@1 52.344 (51.057)	Prec@5 80.469 (80.799)
Epoch: [65][13790/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 1.7033 (1.8792)	Prec@1 56.250 (51.059)	Prec@5 84.375 (80.799)
Epoch: [65][13800/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 1.7830 (1.8791)	Prec@1 50.000 (51.060)	Prec@5 82.812 (80.799)
Epoch: [65][13810/14090]	Time 0.874 (0.766)	Data 0.001 (0.001)	Loss 1.9748 (1.8791)	Prec@1 51.562 (51.061)	Prec@5 79.688 (80.800)
Epoch: [65][13820/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.0493 (1.8792)	Prec@1 48.438 (51.060)	Prec@5 79.688 (80.800)
Epoch: [65][13830/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 1.8866 (1.8792)	Prec@1 48.438 (51.057)	Prec@5 79.688 (80.799)
Epoch: [65][13840/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 1.8436 (1.8793)	Prec@1 53.125 (51.055)	Prec@5 82.031 (80.798)
Epoch: [65][13850/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 1.8962 (1.8793)	Prec@1 51.562 (51.055)	Prec@5 82.031 (80.799)
Epoch: [65][13860/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.0138 (1.8793)	Prec@1 44.531 (51.055)	Prec@5 78.125 (80.799)
Epoch: [65][13870/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 1.4989 (1.8793)	Prec@1 60.938 (51.054)	Prec@5 87.500 (80.799)
Epoch: [65][13880/14090]	Time 0.872 (0.766)	Data 0.001 (0.001)	Loss 1.8960 (1.8793)	Prec@1 50.000 (51.053)	Prec@5 81.250 (80.798)
Epoch: [65][13890/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 1.8349 (1.8793)	Prec@1 52.344 (51.053)	Prec@5 84.375 (80.797)
Epoch: [65][13900/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.0558 (1.8794)	Prec@1 46.875 (51.052)	Prec@5 75.000 (80.796)
Epoch: [65][13910/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 1.8599 (1.8794)	Prec@1 53.125 (51.052)	Prec@5 80.469 (80.796)
Epoch: [65][13920/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 1.9338 (1.8794)	Prec@1 53.906 (51.053)	Prec@5 78.906 (80.796)
Epoch: [65][13930/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 1.9865 (1.8794)	Prec@1 47.656 (51.051)	Prec@5 80.469 (80.795)
Epoch: [65][13940/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.0372 (1.8795)	Prec@1 44.531 (51.051)	Prec@5 79.688 (80.795)
Epoch: [65][13950/14090]	Time 0.857 (0.766)	Data 0.001 (0.001)	Loss 1.6793 (1.8794)	Prec@1 57.812 (51.050)	Prec@5 84.375 (80.795)
Epoch: [65][13960/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 1.7073 (1.8794)	Prec@1 55.469 (51.051)	Prec@5 82.812 (80.795)
Epoch: [65][13970/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.0031 (1.8795)	Prec@1 46.094 (51.049)	Prec@5 80.469 (80.794)
Epoch: [65][13980/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.0568 (1.8795)	Prec@1 44.531 (51.049)	Prec@5 79.688 (80.794)
Epoch: [65][13990/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 1.9772 (1.8794)	Prec@1 43.750 (51.049)	Prec@5 75.781 (80.794)
Epoch: [65][14000/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 1.9276 (1.8795)	Prec@1 44.531 (51.047)	Prec@5 80.469 (80.794)
Epoch: [65][14010/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.1242 (1.8795)	Prec@1 44.531 (51.048)	Prec@5 71.875 (80.794)
Epoch: [65][14020/14090]	Time 0.889 (0.766)	Data 0.001 (0.001)	Loss 1.8126 (1.8794)	Prec@1 57.812 (51.049)	Prec@5 81.250 (80.794)
Epoch: [65][14030/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 1.7952 (1.8795)	Prec@1 51.562 (51.048)	Prec@5 84.375 (80.792)
Epoch: [65][14040/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 1.9754 (1.8795)	Prec@1 48.438 (51.048)	Prec@5 78.125 (80.792)
Epoch: [65][14050/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.0886 (1.8795)	Prec@1 46.875 (51.049)	Prec@5 80.469 (80.792)
Epoch: [65][14060/14090]	Time 0.720 (0.766)	Data 0.001 (0.001)	Loss 2.0160 (1.8795)	Prec@1 51.562 (51.050)	Prec@5 80.469 (80.792)
Epoch: [65][14070/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 1.9925 (1.8796)	Prec@1 46.094 (51.049)	Prec@5 77.344 (80.791)
Epoch: [65][14080/14090]	Time 0.739 (0.766)	Data 0.000 (0.001)	Loss 1.8742 (1.8796)	Prec@1 46.875 (51.050)	Prec@5 80.469 (80.791)
Test: [0/286]	Time 5.572 (5.572)	Loss 1.3025 (1.3025)	Prec@1 57.031 (57.031)	Prec@5 96.094 (96.094)
Test: [10/286]	Time 0.396 (0.917)	Loss 1.7993 (1.7479)	Prec@1 53.125 (53.835)	Prec@5 86.719 (85.227)
Test: [20/286]	Time 0.238 (0.695)	Loss 1.4661 (1.6895)	Prec@1 61.719 (54.911)	Prec@5 90.625 (86.086)
Test: [30/286]	Time 0.227 (0.612)	Loss 1.8497 (1.6126)	Prec@1 50.781 (57.409)	Prec@5 82.031 (86.442)
Test: [40/286]	Time 1.646 (0.613)	Loss 1.5917 (1.6311)	Prec@1 52.344 (56.764)	Prec@5 89.062 (86.319)
Test: [50/286]	Time 0.483 (0.591)	Loss 0.4542 (1.6299)	Prec@1 90.625 (56.449)	Prec@5 95.312 (86.351)
Test: [60/286]	Time 0.229 (0.570)	Loss 2.7793 (1.6608)	Prec@1 32.031 (55.930)	Prec@5 65.625 (85.361)
Test: [70/286]	Time 0.388 (0.554)	Loss 1.1669 (1.6452)	Prec@1 71.875 (56.261)	Prec@5 94.531 (85.585)
Test: [80/286]	Time 0.287 (0.554)	Loss 1.8757 (1.6749)	Prec@1 45.312 (55.228)	Prec@5 85.938 (85.330)
Test: [90/286]	Time 0.229 (0.552)	Loss 1.8081 (1.6890)	Prec@1 53.125 (55.014)	Prec@5 85.938 (85.019)
Test: [100/286]	Time 0.291 (0.546)	Loss 2.1091 (1.6944)	Prec@1 38.281 (54.688)	Prec@5 83.594 (85.118)
Test: [110/286]	Time 0.543 (0.539)	Loss 2.2371 (1.7137)	Prec@1 46.875 (54.174)	Prec@5 76.562 (84.994)
Test: [120/286]	Time 0.607 (0.538)	Loss 1.4640 (1.6995)	Prec@1 62.500 (54.655)	Prec@5 81.250 (85.163)
Test: [130/286]	Time 0.233 (0.535)	Loss 0.7811 (1.6918)	Prec@1 74.219 (54.908)	Prec@5 97.656 (85.234)
Test: [140/286]	Time 0.235 (0.534)	Loss 2.2571 (1.6851)	Prec@1 50.000 (55.131)	Prec@5 74.219 (85.256)
Test: [150/286]	Time 0.674 (0.534)	Loss 2.5926 (1.6976)	Prec@1 32.031 (54.672)	Prec@5 80.469 (85.213)
Test: [160/286]	Time 0.370 (0.533)	Loss 2.6377 (1.6950)	Prec@1 25.000 (54.789)	Prec@5 68.750 (85.166)
Test: [170/286]	Time 0.227 (0.529)	Loss 1.8421 (1.6868)	Prec@1 49.219 (54.962)	Prec@5 84.375 (85.302)
Test: [180/286]	Time 0.391 (0.529)	Loss 1.6618 (1.7010)	Prec@1 61.719 (54.631)	Prec@5 82.031 (85.053)
Test: [190/286]	Time 0.897 (0.530)	Loss 2.8851 (1.7213)	Prec@1 17.969 (54.086)	Prec@5 72.656 (84.845)
Test: [200/286]	Time 0.275 (0.528)	Loss 1.7595 (1.7170)	Prec@1 59.375 (54.194)	Prec@5 88.281 (84.873)
Test: [210/286]	Time 0.248 (0.525)	Loss 1.9150 (1.7217)	Prec@1 50.000 (54.014)	Prec@5 82.031 (84.838)
Test: [220/286]	Time 0.732 (0.525)	Loss 2.7312 (1.7260)	Prec@1 22.656 (53.952)	Prec@5 71.094 (84.725)
Test: [230/286]	Time 0.949 (0.526)	Loss 1.0727 (1.7236)	Prec@1 66.406 (53.981)	Prec@5 89.844 (84.693)
Test: [240/286]	Time 0.386 (0.524)	Loss 1.7203 (1.7200)	Prec@1 52.344 (54.072)	Prec@5 86.719 (84.774)
Test: [250/286]	Time 0.293 (0.522)	Loss 1.7388 (1.7115)	Prec@1 54.688 (54.183)	Prec@5 82.812 (84.917)
Test: [260/286]	Time 0.894 (0.522)	Loss 1.6106 (1.7013)	Prec@1 57.031 (54.490)	Prec@5 89.062 (85.105)
Test: [270/286]	Time 0.780 (0.523)	Loss 1.2255 (1.7040)	Prec@1 68.750 (54.419)	Prec@5 89.844 (85.087)
Test: [280/286]	Time 0.450 (0.521)	Loss 1.6482 (1.6899)	Prec@1 61.719 (54.949)	Prec@5 90.625 (85.215)
 * Prec@1 55.039 Prec@5 85.228
Epoch: [66][0/14090]	Time 6.712 (6.712)	Data 5.932 (5.932)	Loss 1.8677 (1.8677)	Prec@1 53.125 (53.125)	Prec@5 82.031 (82.031)
Epoch: [66][10/14090]	Time 0.719 (1.278)	Data 0.001 (0.540)	Loss 2.0267 (1.8591)	Prec@1 47.656 (51.562)	Prec@5 80.469 (81.818)
Epoch: [66][20/14090]	Time 0.736 (1.026)	Data 0.001 (0.283)	Loss 1.8274 (1.8731)	Prec@1 50.781 (51.786)	Prec@5 83.594 (80.990)
Epoch: [66][30/14090]	Time 0.723 (0.936)	Data 0.001 (0.192)	Loss 2.1348 (1.8800)	Prec@1 46.094 (51.159)	Prec@5 75.000 (80.242)
Epoch: [66][40/14090]	Time 0.732 (0.896)	Data 0.001 (0.146)	Loss 1.9590 (1.8814)	Prec@1 44.531 (51.029)	Prec@5 82.031 (80.373)
Epoch: [66][50/14090]	Time 0.752 (0.868)	Data 0.001 (0.117)	Loss 1.4859 (1.8571)	Prec@1 60.938 (51.700)	Prec@5 84.375 (80.699)
Epoch: [66][60/14090]	Time 0.868 (0.851)	Data 0.001 (0.098)	Loss 1.9296 (1.8610)	Prec@1 50.781 (51.601)	Prec@5 80.469 (80.622)
Epoch: [66][70/14090]	Time 0.726 (0.838)	Data 0.001 (0.084)	Loss 1.5449 (1.8661)	Prec@1 59.375 (51.618)	Prec@5 83.594 (80.381)
Epoch: [66][80/14090]	Time 0.728 (0.828)	Data 0.001 (0.074)	Loss 1.6308 (1.8650)	Prec@1 55.469 (51.755)	Prec@5 82.812 (80.575)
Epoch: [66][90/14090]	Time 0.724 (0.822)	Data 0.001 (0.066)	Loss 1.7417 (1.8684)	Prec@1 54.688 (51.537)	Prec@5 85.156 (80.615)
Epoch: [66][100/14090]	Time 0.765 (0.815)	Data 0.001 (0.060)	Loss 2.1378 (1.8630)	Prec@1 39.844 (51.663)	Prec@5 75.781 (80.709)
Epoch: [66][110/14090]	Time 0.726 (0.811)	Data 0.001 (0.054)	Loss 1.9214 (1.8644)	Prec@1 46.875 (51.577)	Prec@5 80.469 (80.729)
Epoch: [66][120/14090]	Time 0.721 (0.807)	Data 0.001 (0.050)	Loss 1.9002 (1.8673)	Prec@1 46.875 (51.324)	Prec@5 78.125 (80.746)
Epoch: [66][130/14090]	Time 0.863 (0.803)	Data 0.002 (0.046)	Loss 1.6346 (1.8708)	Prec@1 59.375 (51.169)	Prec@5 85.938 (80.791)
Epoch: [66][140/14090]	Time 0.740 (0.801)	Data 0.001 (0.043)	Loss 1.9674 (1.8736)	Prec@1 46.875 (51.152)	Prec@5 83.594 (80.796)
Epoch: [66][150/14090]	Time 0.737 (0.798)	Data 0.001 (0.040)	Loss 2.0772 (1.8724)	Prec@1 42.969 (51.221)	Prec@5 82.812 (80.826)
Epoch: [66][160/14090]	Time 0.721 (0.796)	Data 0.001 (0.038)	Loss 1.9851 (1.8734)	Prec@1 50.000 (51.228)	Prec@5 78.125 (80.813)
Epoch: [66][170/14090]	Time 0.737 (0.794)	Data 0.001 (0.036)	Loss 2.2022 (1.8745)	Prec@1 42.188 (51.119)	Prec@5 75.781 (80.798)
Epoch: [66][180/14090]	Time 0.756 (0.792)	Data 0.001 (0.034)	Loss 1.7873 (1.8714)	Prec@1 54.688 (51.148)	Prec@5 82.031 (80.801)
Epoch: [66][190/14090]	Time 0.721 (0.791)	Data 0.001 (0.032)	Loss 1.7524 (1.8692)	Prec@1 55.469 (51.297)	Prec@5 81.250 (80.841)
Epoch: [66][200/14090]	Time 0.863 (0.789)	Data 0.001 (0.030)	Loss 1.9066 (1.8704)	Prec@1 49.219 (51.279)	Prec@5 77.344 (80.865)
Epoch: [66][210/14090]	Time 0.745 (0.788)	Data 0.001 (0.029)	Loss 1.5959 (1.8668)	Prec@1 59.375 (51.370)	Prec@5 82.812 (80.976)
Epoch: [66][220/14090]	Time 0.761 (0.787)	Data 0.001 (0.028)	Loss 1.9639 (1.8656)	Prec@1 47.656 (51.400)	Prec@5 78.906 (81.027)
Epoch: [66][230/14090]	Time 0.740 (0.786)	Data 0.001 (0.027)	Loss 1.9660 (1.8672)	Prec@1 49.219 (51.339)	Prec@5 76.562 (80.990)
Epoch: [66][240/14090]	Time 0.753 (0.785)	Data 0.001 (0.025)	Loss 1.7320 (1.8673)	Prec@1 58.594 (51.368)	Prec@5 85.156 (81.004)
Epoch: [66][250/14090]	Time 0.755 (0.785)	Data 0.001 (0.025)	Loss 1.8526 (1.8696)	Prec@1 50.781 (51.307)	Prec@5 82.031 (80.979)
Epoch: [66][260/14090]	Time 0.756 (0.785)	Data 0.001 (0.024)	Loss 1.9715 (1.8659)	Prec@1 53.125 (51.401)	Prec@5 79.688 (81.085)
Epoch: [66][270/14090]	Time 0.862 (0.784)	Data 0.001 (0.023)	Loss 1.9280 (1.8688)	Prec@1 50.781 (51.413)	Prec@5 78.906 (81.016)
Epoch: [66][280/14090]	Time 0.733 (0.783)	Data 0.001 (0.022)	Loss 1.6062 (1.8693)	Prec@1 56.250 (51.404)	Prec@5 87.500 (81.000)
Epoch: [66][290/14090]	Time 0.758 (0.783)	Data 0.001 (0.021)	Loss 1.6509 (1.8670)	Prec@1 57.031 (51.383)	Prec@5 85.156 (81.092)
Epoch: [66][300/14090]	Time 0.727 (0.782)	Data 0.001 (0.021)	Loss 1.4630 (1.8637)	Prec@1 64.844 (51.518)	Prec@5 85.938 (81.141)
Epoch: [66][310/14090]	Time 0.769 (0.782)	Data 0.001 (0.020)	Loss 1.5403 (1.8606)	Prec@1 60.938 (51.570)	Prec@5 88.281 (81.200)
Epoch: [66][320/14090]	Time 0.724 (0.781)	Data 0.001 (0.019)	Loss 2.0147 (1.8640)	Prec@1 47.656 (51.480)	Prec@5 78.125 (81.140)
Epoch: [66][330/14090]	Time 0.743 (0.780)	Data 0.001 (0.019)	Loss 1.7548 (1.8650)	Prec@1 52.344 (51.426)	Prec@5 85.938 (81.104)
Epoch: [66][340/14090]	Time 0.847 (0.780)	Data 0.001 (0.018)	Loss 1.5490 (1.8643)	Prec@1 56.250 (51.391)	Prec@5 86.719 (81.108)
Epoch: [66][350/14090]	Time 0.762 (0.779)	Data 0.001 (0.018)	Loss 2.1952 (1.8671)	Prec@1 45.312 (51.324)	Prec@5 73.438 (81.043)
Epoch: [66][360/14090]	Time 0.762 (0.779)	Data 0.001 (0.017)	Loss 1.6762 (1.8654)	Prec@1 57.031 (51.348)	Prec@5 87.500 (81.055)
Epoch: [66][370/14090]	Time 0.726 (0.778)	Data 0.001 (0.017)	Loss 1.6938 (1.8644)	Prec@1 59.375 (51.415)	Prec@5 84.375 (81.092)
Epoch: [66][380/14090]	Time 0.724 (0.777)	Data 0.001 (0.016)	Loss 1.7270 (1.8649)	Prec@1 51.562 (51.392)	Prec@5 82.812 (81.070)
Epoch: [66][390/14090]	Time 0.742 (0.777)	Data 0.001 (0.016)	Loss 1.8771 (1.8638)	Prec@1 50.781 (51.425)	Prec@5 78.906 (81.086)
Epoch: [66][400/14090]	Time 0.735 (0.777)	Data 0.001 (0.016)	Loss 1.8245 (1.8648)	Prec@1 55.469 (51.414)	Prec@5 82.812 (81.061)
Epoch: [66][410/14090]	Time 0.918 (0.777)	Data 0.001 (0.015)	Loss 1.9654 (1.8645)	Prec@1 50.000 (51.448)	Prec@5 78.906 (81.045)
Epoch: [66][420/14090]	Time 0.751 (0.776)	Data 0.001 (0.015)	Loss 1.5286 (1.8638)	Prec@1 58.594 (51.472)	Prec@5 86.719 (81.061)
Epoch: [66][430/14090]	Time 0.732 (0.776)	Data 0.001 (0.015)	Loss 2.0978 (1.8619)	Prec@1 45.312 (51.504)	Prec@5 75.781 (81.089)
Epoch: [66][440/14090]	Time 0.723 (0.775)	Data 0.001 (0.014)	Loss 1.6941 (1.8612)	Prec@1 50.000 (51.529)	Prec@5 84.375 (81.073)
Epoch: [66][450/14090]	Time 0.735 (0.775)	Data 0.001 (0.014)	Loss 1.8684 (1.8620)	Prec@1 49.219 (51.526)	Prec@5 78.906 (81.046)
Epoch: [66][460/14090]	Time 0.754 (0.775)	Data 0.001 (0.014)	Loss 2.0670 (1.8623)	Prec@1 46.875 (51.525)	Prec@5 77.344 (81.028)
Epoch: [66][470/14090]	Time 0.775 (0.775)	Data 0.001 (0.013)	Loss 1.8481 (1.8629)	Prec@1 50.781 (51.531)	Prec@5 82.812 (81.016)
Epoch: [66][480/14090]	Time 0.867 (0.774)	Data 0.001 (0.013)	Loss 1.9514 (1.8633)	Prec@1 49.219 (51.524)	Prec@5 78.906 (81.024)
Epoch: [66][490/14090]	Time 0.755 (0.774)	Data 0.001 (0.013)	Loss 1.7080 (1.8630)	Prec@1 59.375 (51.558)	Prec@5 77.344 (81.022)
Epoch: [66][500/14090]	Time 0.786 (0.774)	Data 0.002 (0.013)	Loss 1.7953 (1.8643)	Prec@1 55.469 (51.548)	Prec@5 79.688 (81.011)
Epoch: [66][510/14090]	Time 0.732 (0.774)	Data 0.001 (0.012)	Loss 2.0547 (1.8648)	Prec@1 44.531 (51.498)	Prec@5 77.344 (80.986)
Epoch: [66][520/14090]	Time 0.729 (0.774)	Data 0.001 (0.012)	Loss 1.8607 (1.8645)	Prec@1 51.562 (51.498)	Prec@5 81.250 (80.988)
Epoch: [66][530/14090]	Time 0.765 (0.773)	Data 0.001 (0.012)	Loss 1.8145 (1.8638)	Prec@1 50.781 (51.483)	Prec@5 82.031 (81.010)
Epoch: [66][540/14090]	Time 0.783 (0.773)	Data 0.001 (0.012)	Loss 2.0511 (1.8649)	Prec@1 47.656 (51.459)	Prec@5 76.562 (80.996)
Epoch: [66][550/14090]	Time 0.841 (0.773)	Data 0.001 (0.012)	Loss 1.8371 (1.8660)	Prec@1 53.125 (51.424)	Prec@5 80.469 (80.985)
Epoch: [66][560/14090]	Time 0.785 (0.773)	Data 0.001 (0.011)	Loss 2.0779 (1.8654)	Prec@1 48.438 (51.423)	Prec@5 76.562 (80.997)
Epoch: [66][570/14090]	Time 0.772 (0.773)	Data 0.001 (0.011)	Loss 1.8428 (1.8638)	Prec@1 50.781 (51.459)	Prec@5 80.469 (81.022)
Epoch: [66][580/14090]	Time 0.746 (0.773)	Data 0.001 (0.011)	Loss 1.8700 (1.8634)	Prec@1 49.219 (51.460)	Prec@5 79.688 (81.027)
Epoch: [66][590/14090]	Time 0.744 (0.772)	Data 0.001 (0.011)	Loss 1.8967 (1.8628)	Prec@1 49.219 (51.459)	Prec@5 77.344 (81.021)
Epoch: [66][600/14090]	Time 0.759 (0.772)	Data 0.001 (0.011)	Loss 2.0148 (1.8643)	Prec@1 50.781 (51.435)	Prec@5 76.562 (80.985)
Epoch: [66][610/14090]	Time 0.747 (0.772)	Data 0.001 (0.011)	Loss 1.8047 (1.8644)	Prec@1 50.000 (51.386)	Prec@5 81.250 (81.003)
Epoch: [66][620/14090]	Time 0.872 (0.772)	Data 0.001 (0.010)	Loss 1.8153 (1.8644)	Prec@1 50.781 (51.396)	Prec@5 82.812 (81.010)
Epoch: [66][630/14090]	Time 0.739 (0.772)	Data 0.001 (0.010)	Loss 2.0202 (1.8634)	Prec@1 49.219 (51.420)	Prec@5 82.031 (81.022)
Epoch: [66][640/14090]	Time 0.747 (0.771)	Data 0.000 (0.010)	Loss 1.9790 (1.8633)	Prec@1 53.906 (51.427)	Prec@5 78.125 (81.001)
Epoch: [66][650/14090]	Time 0.759 (0.771)	Data 0.001 (0.010)	Loss 1.8416 (1.8633)	Prec@1 58.594 (51.433)	Prec@5 79.688 (80.997)
Epoch: [66][660/14090]	Time 0.761 (0.771)	Data 0.001 (0.010)	Loss 1.7359 (1.8623)	Prec@1 60.938 (51.479)	Prec@5 80.469 (81.017)
Epoch: [66][670/14090]	Time 0.751 (0.771)	Data 0.001 (0.010)	Loss 1.7887 (1.8613)	Prec@1 50.000 (51.518)	Prec@5 85.938 (81.042)
Epoch: [66][680/14090]	Time 0.746 (0.771)	Data 0.001 (0.010)	Loss 1.8335 (1.8613)	Prec@1 59.375 (51.529)	Prec@5 79.688 (81.048)
Epoch: [66][690/14090]	Time 0.838 (0.771)	Data 0.001 (0.009)	Loss 1.8498 (1.8612)	Prec@1 52.344 (51.527)	Prec@5 77.344 (81.060)
Epoch: [66][700/14090]	Time 0.737 (0.771)	Data 0.001 (0.009)	Loss 1.7801 (1.8614)	Prec@1 54.688 (51.507)	Prec@5 85.938 (81.063)
Epoch: [66][710/14090]	Time 0.781 (0.771)	Data 0.001 (0.009)	Loss 1.7097 (1.8608)	Prec@1 51.562 (51.523)	Prec@5 83.594 (81.096)
Epoch: [66][720/14090]	Time 0.741 (0.771)	Data 0.001 (0.009)	Loss 1.9086 (1.8607)	Prec@1 46.875 (51.495)	Prec@5 79.688 (81.090)
Epoch: [66][730/14090]	Time 0.737 (0.770)	Data 0.001 (0.009)	Loss 1.7949 (1.8600)	Prec@1 52.344 (51.509)	Prec@5 84.375 (81.111)
Epoch: [66][740/14090]	Time 0.735 (0.770)	Data 0.001 (0.009)	Loss 1.8454 (1.8606)	Prec@1 49.219 (51.507)	Prec@5 82.031 (81.086)
Epoch: [66][750/14090]	Time 0.769 (0.770)	Data 0.001 (0.009)	Loss 1.7699 (1.8591)	Prec@1 57.812 (51.531)	Prec@5 83.594 (81.112)
Epoch: [66][760/14090]	Time 0.861 (0.770)	Data 0.001 (0.009)	Loss 2.0292 (1.8589)	Prec@1 45.312 (51.516)	Prec@5 80.469 (81.116)
Epoch: [66][770/14090]	Time 0.733 (0.770)	Data 0.001 (0.009)	Loss 1.5937 (1.8589)	Prec@1 58.594 (51.528)	Prec@5 85.938 (81.117)
Epoch: [66][780/14090]	Time 0.743 (0.770)	Data 0.001 (0.008)	Loss 1.7639 (1.8589)	Prec@1 46.875 (51.521)	Prec@5 84.375 (81.118)
Epoch: [66][790/14090]	Time 0.755 (0.770)	Data 0.001 (0.008)	Loss 2.0614 (1.8588)	Prec@1 42.969 (51.523)	Prec@5 78.906 (81.115)
Epoch: [66][800/14090]	Time 0.751 (0.770)	Data 0.001 (0.008)	Loss 1.9696 (1.8599)	Prec@1 46.094 (51.499)	Prec@5 78.906 (81.085)
Epoch: [66][810/14090]	Time 0.729 (0.770)	Data 0.001 (0.008)	Loss 1.8763 (1.8594)	Prec@1 50.781 (51.522)	Prec@5 80.469 (81.098)
Epoch: [66][820/14090]	Time 0.756 (0.769)	Data 0.001 (0.008)	Loss 1.6169 (1.8586)	Prec@1 56.250 (51.538)	Prec@5 86.719 (81.118)
Epoch: [66][830/14090]	Time 0.853 (0.769)	Data 0.001 (0.008)	Loss 1.8384 (1.8575)	Prec@1 53.125 (51.546)	Prec@5 84.375 (81.135)
Epoch: [66][840/14090]	Time 0.739 (0.769)	Data 0.001 (0.008)	Loss 1.7184 (1.8566)	Prec@1 56.250 (51.576)	Prec@5 85.156 (81.159)
Epoch: [66][850/14090]	Time 0.725 (0.769)	Data 0.001 (0.008)	Loss 2.0842 (1.8570)	Prec@1 43.750 (51.569)	Prec@5 77.344 (81.163)
Epoch: [66][860/14090]	Time 0.726 (0.769)	Data 0.001 (0.008)	Loss 1.6289 (1.8564)	Prec@1 60.938 (51.580)	Prec@5 83.594 (81.161)
Epoch: [66][870/14090]	Time 0.726 (0.769)	Data 0.001 (0.008)	Loss 1.8378 (1.8561)	Prec@1 48.438 (51.596)	Prec@5 82.031 (81.183)
Epoch: [66][880/14090]	Time 0.756 (0.769)	Data 0.001 (0.008)	Loss 1.9105 (1.8564)	Prec@1 49.219 (51.581)	Prec@5 81.250 (81.181)
Epoch: [66][890/14090]	Time 0.750 (0.769)	Data 0.001 (0.007)	Loss 2.0938 (1.8571)	Prec@1 49.219 (51.571)	Prec@5 75.781 (81.175)
Epoch: [66][900/14090]	Time 0.864 (0.769)	Data 0.001 (0.007)	Loss 2.1615 (1.8579)	Prec@1 43.750 (51.561)	Prec@5 74.219 (81.170)
Epoch: [66][910/14090]	Time 0.770 (0.769)	Data 0.001 (0.007)	Loss 1.8137 (1.8577)	Prec@1 49.219 (51.531)	Prec@5 81.250 (81.178)
Epoch: [66][920/14090]	Time 0.754 (0.768)	Data 0.001 (0.007)	Loss 1.9805 (1.8582)	Prec@1 51.562 (51.537)	Prec@5 77.344 (81.170)
Epoch: [66][930/14090]	Time 0.753 (0.769)	Data 0.001 (0.007)	Loss 2.0948 (1.8584)	Prec@1 45.312 (51.539)	Prec@5 74.219 (81.149)
Epoch: [66][940/14090]	Time 0.751 (0.768)	Data 0.001 (0.007)	Loss 1.8879 (1.8588)	Prec@1 50.000 (51.538)	Prec@5 76.562 (81.135)
Epoch: [66][950/14090]	Time 0.746 (0.768)	Data 0.001 (0.007)	Loss 1.6720 (1.8582)	Prec@1 55.469 (51.556)	Prec@5 84.375 (81.149)
Epoch: [66][960/14090]	Time 0.751 (0.768)	Data 0.001 (0.007)	Loss 1.6103 (1.8585)	Prec@1 60.156 (51.558)	Prec@5 86.719 (81.137)
Epoch: [66][970/14090]	Time 0.877 (0.768)	Data 0.001 (0.007)	Loss 1.7632 (1.8585)	Prec@1 56.250 (51.547)	Prec@5 78.906 (81.149)
Epoch: [66][980/14090]	Time 0.762 (0.768)	Data 0.001 (0.007)	Loss 1.7133 (1.8590)	Prec@1 60.156 (51.541)	Prec@5 86.719 (81.145)
Epoch: [66][990/14090]	Time 0.743 (0.768)	Data 0.001 (0.007)	Loss 1.7912 (1.8592)	Prec@1 57.812 (51.536)	Prec@5 80.469 (81.138)
Epoch: [66][1000/14090]	Time 0.739 (0.768)	Data 0.001 (0.007)	Loss 1.7770 (1.8589)	Prec@1 53.125 (51.550)	Prec@5 81.250 (81.130)
Epoch: [66][1010/14090]	Time 0.739 (0.768)	Data 0.001 (0.007)	Loss 1.9806 (1.8581)	Prec@1 53.906 (51.569)	Prec@5 77.344 (81.139)
Epoch: [66][1020/14090]	Time 0.721 (0.768)	Data 0.001 (0.007)	Loss 1.8790 (1.8575)	Prec@1 53.906 (51.588)	Prec@5 77.344 (81.138)
Epoch: [66][1030/14090]	Time 0.729 (0.768)	Data 0.001 (0.007)	Loss 1.8615 (1.8577)	Prec@1 46.094 (51.594)	Prec@5 81.250 (81.140)
Epoch: [66][1040/14090]	Time 0.869 (0.768)	Data 0.001 (0.007)	Loss 1.8320 (1.8570)	Prec@1 50.781 (51.608)	Prec@5 78.906 (81.146)
Epoch: [66][1050/14090]	Time 0.741 (0.768)	Data 0.001 (0.006)	Loss 1.7781 (1.8571)	Prec@1 57.031 (51.600)	Prec@5 80.469 (81.144)
Epoch: [66][1060/14090]	Time 0.750 (0.768)	Data 0.001 (0.006)	Loss 1.9568 (1.8575)	Prec@1 48.438 (51.577)	Prec@5 80.469 (81.135)
Epoch: [66][1070/14090]	Time 0.742 (0.768)	Data 0.001 (0.006)	Loss 1.7495 (1.8581)	Prec@1 53.906 (51.562)	Prec@5 82.812 (81.125)
Epoch: [66][1080/14090]	Time 0.753 (0.767)	Data 0.001 (0.006)	Loss 1.8932 (1.8584)	Prec@1 55.469 (51.544)	Prec@5 84.375 (81.122)
Epoch: [66][1090/14090]	Time 0.768 (0.767)	Data 0.001 (0.006)	Loss 1.9352 (1.8585)	Prec@1 50.000 (51.557)	Prec@5 78.906 (81.116)
Epoch: [66][1100/14090]	Time 0.775 (0.767)	Data 0.001 (0.006)	Loss 1.8075 (1.8594)	Prec@1 56.250 (51.532)	Prec@5 83.594 (81.106)
Epoch: [66][1110/14090]	Time 0.898 (0.767)	Data 0.001 (0.006)	Loss 1.8992 (1.8595)	Prec@1 46.875 (51.521)	Prec@5 85.938 (81.100)
Epoch: [66][1120/14090]	Time 0.725 (0.767)	Data 0.001 (0.006)	Loss 1.7806 (1.8592)	Prec@1 53.125 (51.532)	Prec@5 82.031 (81.102)
Epoch: [66][1130/14090]	Time 0.745 (0.767)	Data 0.001 (0.006)	Loss 1.8472 (1.8593)	Prec@1 50.000 (51.538)	Prec@5 78.906 (81.099)
Epoch: [66][1140/14090]	Time 0.724 (0.767)	Data 0.001 (0.006)	Loss 1.8793 (1.8594)	Prec@1 50.000 (51.549)	Prec@5 81.250 (81.094)
Epoch: [66][1150/14090]	Time 0.752 (0.767)	Data 0.001 (0.006)	Loss 1.8603 (1.8593)	Prec@1 50.000 (51.551)	Prec@5 78.906 (81.089)
Epoch: [66][1160/14090]	Time 0.751 (0.767)	Data 0.001 (0.006)	Loss 2.1025 (1.8594)	Prec@1 46.094 (51.544)	Prec@5 73.438 (81.082)
Epoch: [66][1170/14090]	Time 0.726 (0.767)	Data 0.001 (0.006)	Loss 2.0381 (1.8604)	Prec@1 46.094 (51.525)	Prec@5 75.000 (81.057)
Epoch: [66][1180/14090]	Time 0.824 (0.767)	Data 0.001 (0.006)	Loss 1.6530 (1.8598)	Prec@1 59.375 (51.533)	Prec@5 85.938 (81.077)
Epoch: [66][1190/14090]	Time 0.728 (0.767)	Data 0.001 (0.006)	Loss 1.6527 (1.8590)	Prec@1 53.125 (51.553)	Prec@5 83.594 (81.095)
Epoch: [66][1200/14090]	Time 0.744 (0.767)	Data 0.001 (0.006)	Loss 2.0553 (1.8589)	Prec@1 49.219 (51.556)	Prec@5 77.344 (81.097)
Epoch: [66][1210/14090]	Time 0.736 (0.767)	Data 0.001 (0.006)	Loss 1.9901 (1.8590)	Prec@1 45.312 (51.559)	Prec@5 80.469 (81.091)
Epoch: [66][1220/14090]	Time 0.731 (0.766)	Data 0.001 (0.006)	Loss 1.9025 (1.8594)	Prec@1 50.000 (51.539)	Prec@5 80.469 (81.087)
Epoch: [66][1230/14090]	Time 0.753 (0.767)	Data 0.001 (0.006)	Loss 1.7260 (1.8599)	Prec@1 56.250 (51.535)	Prec@5 82.812 (81.067)
Epoch: [66][1240/14090]	Time 0.775 (0.766)	Data 0.001 (0.006)	Loss 2.0155 (1.8595)	Prec@1 42.188 (51.547)	Prec@5 74.219 (81.062)
Epoch: [66][1250/14090]	Time 0.920 (0.766)	Data 0.001 (0.006)	Loss 1.6603 (1.8593)	Prec@1 56.250 (51.564)	Prec@5 85.156 (81.061)
Epoch: [66][1260/14090]	Time 0.735 (0.766)	Data 0.001 (0.006)	Loss 1.8315 (1.8593)	Prec@1 50.781 (51.558)	Prec@5 79.688 (81.053)
Epoch: [66][1270/14090]	Time 0.740 (0.766)	Data 0.001 (0.005)	Loss 1.9010 (1.8595)	Prec@1 50.781 (51.553)	Prec@5 82.031 (81.036)
Epoch: [66][1280/14090]	Time 0.720 (0.766)	Data 0.001 (0.005)	Loss 1.7155 (1.8591)	Prec@1 57.812 (51.553)	Prec@5 82.812 (81.043)
Epoch: [66][1290/14090]	Time 0.727 (0.766)	Data 0.001 (0.005)	Loss 1.6394 (1.8591)	Prec@1 50.000 (51.540)	Prec@5 84.375 (81.027)
Epoch: [66][1300/14090]	Time 0.754 (0.766)	Data 0.001 (0.005)	Loss 1.8538 (1.8591)	Prec@1 53.125 (51.541)	Prec@5 85.938 (81.028)
Epoch: [66][1310/14090]	Time 0.774 (0.766)	Data 0.001 (0.005)	Loss 1.6316 (1.8591)	Prec@1 59.375 (51.537)	Prec@5 81.250 (81.032)
Epoch: [66][1320/14090]	Time 0.853 (0.766)	Data 0.001 (0.005)	Loss 1.8318 (1.8592)	Prec@1 51.562 (51.524)	Prec@5 82.812 (81.029)
Epoch: [66][1330/14090]	Time 0.738 (0.766)	Data 0.001 (0.005)	Loss 1.7966 (1.8598)	Prec@1 53.906 (51.521)	Prec@5 83.594 (81.018)
Epoch: [66][1340/14090]	Time 0.732 (0.766)	Data 0.001 (0.005)	Loss 1.8832 (1.8601)	Prec@1 54.688 (51.512)	Prec@5 78.906 (81.013)
Epoch: [66][1350/14090]	Time 0.762 (0.766)	Data 0.001 (0.005)	Loss 1.6812 (1.8598)	Prec@1 53.125 (51.522)	Prec@5 81.250 (81.015)
Epoch: [66][1360/14090]	Time 0.750 (0.766)	Data 0.001 (0.005)	Loss 1.8508 (1.8596)	Prec@1 50.781 (51.525)	Prec@5 84.375 (81.019)
Epoch: [66][1370/14090]	Time 0.753 (0.766)	Data 0.001 (0.005)	Loss 1.8132 (1.8596)	Prec@1 51.562 (51.520)	Prec@5 80.469 (81.012)
Epoch: [66][1380/14090]	Time 0.745 (0.766)	Data 0.001 (0.005)	Loss 2.0466 (1.8596)	Prec@1 46.875 (51.518)	Prec@5 78.906 (81.010)
Epoch: [66][1390/14090]	Time 0.831 (0.766)	Data 0.001 (0.005)	Loss 1.8139 (1.8596)	Prec@1 57.031 (51.516)	Prec@5 82.031 (81.020)
Epoch: [66][1400/14090]	Time 0.747 (0.766)	Data 0.001 (0.005)	Loss 1.9303 (1.8594)	Prec@1 46.875 (51.518)	Prec@5 76.562 (81.028)
Epoch: [66][1410/14090]	Time 0.723 (0.766)	Data 0.001 (0.005)	Loss 1.8077 (1.8597)	Prec@1 51.562 (51.509)	Prec@5 81.250 (81.026)
Epoch: [66][1420/14090]	Time 0.749 (0.766)	Data 0.001 (0.005)	Loss 1.9070 (1.8602)	Prec@1 52.344 (51.509)	Prec@5 77.344 (81.019)
Epoch: [66][1430/14090]	Time 0.744 (0.766)	Data 0.001 (0.005)	Loss 2.0533 (1.8604)	Prec@1 51.562 (51.499)	Prec@5 78.125 (81.016)
Epoch: [66][1440/14090]	Time 0.744 (0.765)	Data 0.001 (0.005)	Loss 1.7287 (1.8602)	Prec@1 53.125 (51.492)	Prec@5 86.719 (81.017)
Epoch: [66][1450/14090]	Time 0.733 (0.765)	Data 0.001 (0.005)	Loss 1.5818 (1.8601)	Prec@1 60.156 (51.500)	Prec@5 84.375 (81.018)
Epoch: [66][1460/14090]	Time 0.845 (0.765)	Data 0.001 (0.005)	Loss 1.9287 (1.8602)	Prec@1 45.312 (51.491)	Prec@5 80.469 (81.017)
Epoch: [66][1470/14090]	Time 0.740 (0.765)	Data 0.001 (0.005)	Loss 1.5844 (1.8605)	Prec@1 53.906 (51.490)	Prec@5 86.719 (81.012)
Epoch: [66][1480/14090]	Time 0.726 (0.765)	Data 0.001 (0.005)	Loss 1.7231 (1.8604)	Prec@1 50.000 (51.493)	Prec@5 82.812 (81.013)
Epoch: [66][1490/14090]	Time 0.736 (0.765)	Data 0.001 (0.005)	Loss 2.0529 (1.8608)	Prec@1 48.438 (51.475)	Prec@5 81.250 (81.015)
Epoch: [66][1500/14090]	Time 0.715 (0.765)	Data 0.001 (0.005)	Loss 1.7931 (1.8610)	Prec@1 53.125 (51.473)	Prec@5 84.375 (81.013)
Epoch: [66][1510/14090]	Time 0.754 (0.765)	Data 0.001 (0.005)	Loss 1.8399 (1.8610)	Prec@1 57.812 (51.486)	Prec@5 79.688 (81.004)
Epoch: [66][1520/14090]	Time 0.748 (0.765)	Data 0.001 (0.005)	Loss 1.7039 (1.8609)	Prec@1 50.781 (51.488)	Prec@5 85.156 (81.001)
Epoch: [66][1530/14090]	Time 0.857 (0.765)	Data 0.001 (0.005)	Loss 2.0167 (1.8606)	Prec@1 50.781 (51.505)	Prec@5 75.781 (81.006)
Epoch: [66][1540/14090]	Time 0.726 (0.765)	Data 0.001 (0.005)	Loss 1.6660 (1.8603)	Prec@1 53.906 (51.511)	Prec@5 84.375 (81.007)
Epoch: [66][1550/14090]	Time 0.735 (0.765)	Data 0.001 (0.005)	Loss 1.8977 (1.8608)	Prec@1 46.094 (51.494)	Prec@5 81.250 (81.001)
Epoch: [66][1560/14090]	Time 0.760 (0.765)	Data 0.001 (0.005)	Loss 1.8656 (1.8607)	Prec@1 50.781 (51.499)	Prec@5 82.031 (81.004)
Epoch: [66][1570/14090]	Time 0.736 (0.765)	Data 0.001 (0.005)	Loss 2.0036 (1.8610)	Prec@1 54.688 (51.500)	Prec@5 75.000 (80.998)
Epoch: [66][1580/14090]	Time 0.750 (0.765)	Data 0.001 (0.005)	Loss 1.6314 (1.8606)	Prec@1 60.156 (51.508)	Prec@5 83.594 (81.004)
Epoch: [66][1590/14090]	Time 0.741 (0.765)	Data 0.001 (0.005)	Loss 1.8587 (1.8605)	Prec@1 53.125 (51.506)	Prec@5 79.688 (80.998)
Epoch: [66][1600/14090]	Time 0.869 (0.765)	Data 0.001 (0.005)	Loss 1.8424 (1.8601)	Prec@1 46.875 (51.512)	Prec@5 85.938 (81.005)
Epoch: [66][1610/14090]	Time 0.731 (0.765)	Data 0.001 (0.004)	Loss 1.7597 (1.8600)	Prec@1 49.219 (51.500)	Prec@5 82.812 (81.004)
Epoch: [66][1620/14090]	Time 0.733 (0.765)	Data 0.001 (0.004)	Loss 1.7134 (1.8601)	Prec@1 57.031 (51.500)	Prec@5 83.594 (81.002)
Epoch: [66][1630/14090]	Time 0.738 (0.765)	Data 0.001 (0.004)	Loss 1.9036 (1.8602)	Prec@1 46.875 (51.491)	Prec@5 78.125 (80.996)
Epoch: [66][1640/14090]	Time 0.734 (0.765)	Data 0.001 (0.004)	Loss 1.8962 (1.8599)	Prec@1 53.906 (51.502)	Prec@5 79.688 (81.002)
Epoch: [66][1650/14090]	Time 0.724 (0.765)	Data 0.001 (0.004)	Loss 1.9585 (1.8601)	Prec@1 50.000 (51.495)	Prec@5 80.469 (80.994)
Epoch: [66][1660/14090]	Time 0.776 (0.765)	Data 0.001 (0.004)	Loss 1.8909 (1.8609)	Prec@1 51.562 (51.488)	Prec@5 82.031 (80.985)
Epoch: [66][1670/14090]	Time 0.857 (0.765)	Data 0.001 (0.004)	Loss 1.8914 (1.8611)	Prec@1 47.656 (51.488)	Prec@5 84.375 (80.984)
Epoch: [66][1680/14090]	Time 0.724 (0.765)	Data 0.001 (0.004)	Loss 2.0417 (1.8611)	Prec@1 42.969 (51.484)	Prec@5 75.781 (80.973)
Epoch: [66][1690/14090]	Time 0.732 (0.765)	Data 0.001 (0.004)	Loss 1.8828 (1.8611)	Prec@1 47.656 (51.486)	Prec@5 80.469 (80.970)
Epoch: [66][1700/14090]	Time 0.741 (0.765)	Data 0.001 (0.004)	Loss 2.1115 (1.8610)	Prec@1 47.656 (51.483)	Prec@5 79.688 (80.969)
Epoch: [66][1710/14090]	Time 0.738 (0.765)	Data 0.001 (0.004)	Loss 1.8705 (1.8614)	Prec@1 47.656 (51.472)	Prec@5 84.375 (80.969)
Epoch: [66][1720/14090]	Time 0.754 (0.764)	Data 0.001 (0.004)	Loss 1.8582 (1.8614)	Prec@1 43.750 (51.469)	Prec@5 82.812 (80.965)
Epoch: [66][1730/14090]	Time 0.731 (0.764)	Data 0.001 (0.004)	Loss 1.8075 (1.8615)	Prec@1 52.344 (51.474)	Prec@5 78.906 (80.961)
Epoch: [66][1740/14090]	Time 0.859 (0.764)	Data 0.001 (0.004)	Loss 2.1225 (1.8618)	Prec@1 45.312 (51.464)	Prec@5 79.688 (80.956)
Epoch: [66][1750/14090]	Time 0.740 (0.764)	Data 0.001 (0.004)	Loss 1.9004 (1.8621)	Prec@1 47.656 (51.461)	Prec@5 85.156 (80.951)
Epoch: [66][1760/14090]	Time 0.724 (0.764)	Data 0.001 (0.004)	Loss 1.8694 (1.8620)	Prec@1 48.438 (51.459)	Prec@5 82.812 (80.952)
Epoch: [66][1770/14090]	Time 0.752 (0.764)	Data 0.001 (0.004)	Loss 1.9070 (1.8622)	Prec@1 52.344 (51.457)	Prec@5 79.688 (80.944)
Epoch: [66][1780/14090]	Time 0.740 (0.764)	Data 0.001 (0.004)	Loss 1.9386 (1.8619)	Prec@1 48.438 (51.463)	Prec@5 81.250 (80.950)
Epoch: [66][1790/14090]	Time 0.744 (0.764)	Data 0.001 (0.004)	Loss 1.8823 (1.8620)	Prec@1 51.562 (51.460)	Prec@5 78.125 (80.938)
Epoch: [66][1800/14090]	Time 0.737 (0.764)	Data 0.001 (0.004)	Loss 2.0258 (1.8620)	Prec@1 52.344 (51.458)	Prec@5 81.250 (80.946)
Epoch: [66][1810/14090]	Time 0.858 (0.764)	Data 0.001 (0.004)	Loss 2.1359 (1.8626)	Prec@1 50.000 (51.453)	Prec@5 76.562 (80.933)
Epoch: [66][1820/14090]	Time 0.724 (0.764)	Data 0.001 (0.004)	Loss 1.7359 (1.8626)	Prec@1 53.906 (51.451)	Prec@5 84.375 (80.933)
Epoch: [66][1830/14090]	Time 0.760 (0.764)	Data 0.001 (0.004)	Loss 2.2071 (1.8628)	Prec@1 47.656 (51.446)	Prec@5 71.875 (80.930)
Epoch: [66][1840/14090]	Time 0.717 (0.764)	Data 0.001 (0.004)	Loss 1.7625 (1.8628)	Prec@1 54.688 (51.445)	Prec@5 84.375 (80.930)
Epoch: [66][1850/14090]	Time 0.725 (0.764)	Data 0.001 (0.004)	Loss 1.7376 (1.8624)	Prec@1 52.344 (51.447)	Prec@5 87.500 (80.942)
Epoch: [66][1860/14090]	Time 0.727 (0.764)	Data 0.001 (0.004)	Loss 1.6867 (1.8622)	Prec@1 54.688 (51.445)	Prec@5 86.719 (80.949)
Epoch: [66][1870/14090]	Time 0.745 (0.764)	Data 0.001 (0.004)	Loss 1.8498 (1.8620)	Prec@1 48.438 (51.453)	Prec@5 76.562 (80.951)
Epoch: [66][1880/14090]	Time 0.867 (0.764)	Data 0.001 (0.004)	Loss 1.7766 (1.8620)	Prec@1 53.125 (51.445)	Prec@5 81.250 (80.955)
Epoch: [66][1890/14090]	Time 0.737 (0.764)	Data 0.001 (0.004)	Loss 2.2833 (1.8623)	Prec@1 45.312 (51.443)	Prec@5 75.000 (80.950)
Epoch: [66][1900/14090]	Time 0.764 (0.764)	Data 0.001 (0.004)	Loss 1.7440 (1.8623)	Prec@1 54.688 (51.433)	Prec@5 84.375 (80.952)
Epoch: [66][1910/14090]	Time 0.729 (0.764)	Data 0.001 (0.004)	Loss 1.8682 (1.8620)	Prec@1 48.438 (51.436)	Prec@5 82.812 (80.957)
Epoch: [66][1920/14090]	Time 0.749 (0.764)	Data 0.001 (0.004)	Loss 1.7262 (1.8617)	Prec@1 55.469 (51.444)	Prec@5 84.375 (80.958)
Epoch: [66][1930/14090]	Time 0.752 (0.764)	Data 0.001 (0.004)	Loss 1.8128 (1.8615)	Prec@1 50.000 (51.438)	Prec@5 84.375 (80.957)
Epoch: [66][1940/14090]	Time 0.749 (0.764)	Data 0.001 (0.004)	Loss 2.1013 (1.8617)	Prec@1 44.531 (51.432)	Prec@5 76.562 (80.954)
Epoch: [66][1950/14090]	Time 0.877 (0.764)	Data 0.001 (0.004)	Loss 2.0301 (1.8617)	Prec@1 46.875 (51.430)	Prec@5 78.125 (80.956)
Epoch: [66][1960/14090]	Time 0.730 (0.764)	Data 0.001 (0.004)	Loss 1.7549 (1.8620)	Prec@1 53.125 (51.417)	Prec@5 83.594 (80.958)
Epoch: [66][1970/14090]	Time 0.741 (0.764)	Data 0.001 (0.004)	Loss 1.9491 (1.8618)	Prec@1 50.781 (51.422)	Prec@5 76.562 (80.963)
Epoch: [66][1980/14090]	Time 0.726 (0.764)	Data 0.001 (0.004)	Loss 1.9236 (1.8622)	Prec@1 47.656 (51.409)	Prec@5 79.688 (80.957)
Epoch: [66][1990/14090]	Time 0.742 (0.764)	Data 0.001 (0.004)	Loss 1.8964 (1.8622)	Prec@1 48.438 (51.407)	Prec@5 79.688 (80.954)
Epoch: [66][2000/14090]	Time 0.736 (0.764)	Data 0.001 (0.004)	Loss 1.6660 (1.8624)	Prec@1 53.125 (51.396)	Prec@5 86.719 (80.950)
Epoch: [66][2010/14090]	Time 0.761 (0.764)	Data 0.001 (0.004)	Loss 1.8611 (1.8625)	Prec@1 55.469 (51.403)	Prec@5 75.781 (80.945)
Epoch: [66][2020/14090]	Time 0.869 (0.764)	Data 0.001 (0.004)	Loss 1.5595 (1.8625)	Prec@1 60.938 (51.401)	Prec@5 85.156 (80.941)
Epoch: [66][2030/14090]	Time 0.747 (0.764)	Data 0.001 (0.004)	Loss 1.8007 (1.8626)	Prec@1 57.812 (51.398)	Prec@5 80.469 (80.940)
Epoch: [66][2040/14090]	Time 0.731 (0.764)	Data 0.001 (0.004)	Loss 1.9586 (1.8620)	Prec@1 53.906 (51.411)	Prec@5 75.000 (80.942)
Epoch: [66][2050/14090]	Time 0.766 (0.764)	Data 0.001 (0.004)	Loss 1.9672 (1.8624)	Prec@1 45.312 (51.402)	Prec@5 82.812 (80.940)
Epoch: [66][2060/14090]	Time 0.755 (0.764)	Data 0.001 (0.004)	Loss 1.8646 (1.8626)	Prec@1 53.906 (51.404)	Prec@5 77.344 (80.935)
Epoch: [66][2070/14090]	Time 0.757 (0.764)	Data 0.001 (0.004)	Loss 2.1101 (1.8627)	Prec@1 48.438 (51.413)	Prec@5 78.906 (80.933)
Epoch: [66][2080/14090]	Time 0.752 (0.764)	Data 0.001 (0.004)	Loss 1.6499 (1.8627)	Prec@1 56.250 (51.418)	Prec@5 85.156 (80.930)
Epoch: [66][2090/14090]	Time 0.912 (0.764)	Data 0.001 (0.004)	Loss 1.8458 (1.8624)	Prec@1 46.875 (51.422)	Prec@5 82.031 (80.926)
Epoch: [66][2100/14090]	Time 0.728 (0.764)	Data 0.001 (0.004)	Loss 1.7371 (1.8623)	Prec@1 53.906 (51.426)	Prec@5 79.688 (80.929)
Epoch: [66][2110/14090]	Time 0.756 (0.764)	Data 0.001 (0.004)	Loss 1.9536 (1.8621)	Prec@1 50.781 (51.431)	Prec@5 78.906 (80.933)
Epoch: [66][2120/14090]	Time 0.744 (0.764)	Data 0.001 (0.004)	Loss 1.7247 (1.8621)	Prec@1 55.469 (51.429)	Prec@5 84.375 (80.932)
Epoch: [66][2130/14090]	Time 0.731 (0.764)	Data 0.001 (0.004)	Loss 1.9548 (1.8626)	Prec@1 49.219 (51.419)	Prec@5 81.250 (80.929)
Epoch: [66][2140/14090]	Time 0.724 (0.764)	Data 0.001 (0.004)	Loss 1.7210 (1.8626)	Prec@1 55.469 (51.419)	Prec@5 82.031 (80.927)
Epoch: [66][2150/14090]	Time 0.721 (0.764)	Data 0.001 (0.004)	Loss 1.7782 (1.8626)	Prec@1 52.344 (51.415)	Prec@5 83.594 (80.931)
Epoch: [66][2160/14090]	Time 0.869 (0.764)	Data 0.001 (0.004)	Loss 1.8399 (1.8626)	Prec@1 50.781 (51.411)	Prec@5 79.688 (80.929)
Epoch: [66][2170/14090]	Time 0.721 (0.764)	Data 0.001 (0.004)	Loss 1.9211 (1.8626)	Prec@1 55.469 (51.412)	Prec@5 79.688 (80.927)
Epoch: [66][2180/14090]	Time 0.753 (0.764)	Data 0.001 (0.004)	Loss 1.9719 (1.8629)	Prec@1 49.219 (51.412)	Prec@5 81.250 (80.924)
Epoch: [66][2190/14090]	Time 0.744 (0.764)	Data 0.001 (0.003)	Loss 1.7817 (1.8626)	Prec@1 53.906 (51.419)	Prec@5 82.031 (80.930)
Epoch: [66][2200/14090]	Time 0.761 (0.764)	Data 0.001 (0.003)	Loss 2.0007 (1.8628)	Prec@1 48.438 (51.408)	Prec@5 85.156 (80.927)
Epoch: [66][2210/14090]	Time 0.768 (0.764)	Data 0.001 (0.003)	Loss 1.8958 (1.8626)	Prec@1 52.344 (51.418)	Prec@5 81.250 (80.928)
Epoch: [66][2220/14090]	Time 0.755 (0.764)	Data 0.001 (0.003)	Loss 1.9265 (1.8626)	Prec@1 49.219 (51.416)	Prec@5 78.125 (80.929)
Epoch: [66][2230/14090]	Time 0.845 (0.764)	Data 0.001 (0.003)	Loss 1.9049 (1.8627)	Prec@1 48.438 (51.407)	Prec@5 78.906 (80.927)
Epoch: [66][2240/14090]	Time 0.757 (0.764)	Data 0.001 (0.003)	Loss 1.7175 (1.8624)	Prec@1 52.344 (51.406)	Prec@5 84.375 (80.932)
Epoch: [66][2250/14090]	Time 0.758 (0.764)	Data 0.001 (0.003)	Loss 2.0109 (1.8623)	Prec@1 53.125 (51.411)	Prec@5 78.906 (80.938)
Epoch: [66][2260/14090]	Time 0.740 (0.764)	Data 0.001 (0.003)	Loss 2.1267 (1.8625)	Prec@1 46.875 (51.406)	Prec@5 76.562 (80.931)
Epoch: [66][2270/14090]	Time 0.747 (0.764)	Data 0.001 (0.003)	Loss 1.9530 (1.8627)	Prec@1 52.344 (51.400)	Prec@5 78.906 (80.934)
Epoch: [66][2280/14090]	Time 0.755 (0.764)	Data 0.001 (0.003)	Loss 1.8896 (1.8622)	Prec@1 53.125 (51.406)	Prec@5 78.906 (80.944)
Epoch: [66][2290/14090]	Time 0.775 (0.764)	Data 0.001 (0.003)	Loss 1.7208 (1.8620)	Prec@1 56.250 (51.407)	Prec@5 83.594 (80.947)
Epoch: [66][2300/14090]	Time 0.881 (0.764)	Data 0.001 (0.003)	Loss 1.9207 (1.8621)	Prec@1 52.344 (51.402)	Prec@5 82.031 (80.947)
Epoch: [66][2310/14090]	Time 0.774 (0.764)	Data 0.001 (0.003)	Loss 2.0292 (1.8620)	Prec@1 52.344 (51.410)	Prec@5 78.125 (80.949)
Epoch: [66][2320/14090]	Time 0.748 (0.764)	Data 0.001 (0.003)	Loss 1.7812 (1.8620)	Prec@1 54.688 (51.408)	Prec@5 81.250 (80.951)
Epoch: [66][2330/14090]	Time 0.732 (0.764)	Data 0.001 (0.003)	Loss 1.9915 (1.8621)	Prec@1 52.344 (51.412)	Prec@5 79.688 (80.952)
Epoch: [66][2340/14090]	Time 0.784 (0.764)	Data 0.001 (0.003)	Loss 1.7156 (1.8617)	Prec@1 56.250 (51.426)	Prec@5 83.594 (80.962)
Epoch: [66][2350/14090]	Time 0.765 (0.763)	Data 0.001 (0.003)	Loss 1.8418 (1.8618)	Prec@1 48.438 (51.425)	Prec@5 84.375 (80.966)
Epoch: [66][2360/14090]	Time 0.735 (0.763)	Data 0.001 (0.003)	Loss 1.7677 (1.8624)	Prec@1 56.250 (51.414)	Prec@5 82.031 (80.957)
Epoch: [66][2370/14090]	Time 0.923 (0.764)	Data 0.001 (0.003)	Loss 2.0347 (1.8627)	Prec@1 46.875 (51.407)	Prec@5 80.469 (80.949)
Epoch: [66][2380/14090]	Time 0.759 (0.763)	Data 0.001 (0.003)	Loss 1.8925 (1.8628)	Prec@1 49.219 (51.403)	Prec@5 79.688 (80.949)
Epoch: [66][2390/14090]	Time 0.723 (0.763)	Data 0.001 (0.003)	Loss 1.9827 (1.8630)	Prec@1 46.875 (51.398)	Prec@5 78.906 (80.946)
Epoch: [66][2400/14090]	Time 0.726 (0.763)	Data 0.001 (0.003)	Loss 1.9203 (1.8631)	Prec@1 48.438 (51.389)	Prec@5 82.031 (80.946)
Epoch: [66][2410/14090]	Time 0.724 (0.763)	Data 0.001 (0.003)	Loss 1.7927 (1.8633)	Prec@1 52.344 (51.389)	Prec@5 81.250 (80.942)
Epoch: [66][2420/14090]	Time 0.749 (0.763)	Data 0.001 (0.003)	Loss 1.9045 (1.8633)	Prec@1 52.344 (51.383)	Prec@5 77.344 (80.937)
Epoch: [66][2430/14090]	Time 0.748 (0.763)	Data 0.001 (0.003)	Loss 1.6630 (1.8633)	Prec@1 58.594 (51.380)	Prec@5 81.250 (80.937)
Epoch: [66][2440/14090]	Time 0.866 (0.763)	Data 0.001 (0.003)	Loss 1.7154 (1.8633)	Prec@1 56.250 (51.385)	Prec@5 88.281 (80.941)
Epoch: [66][2450/14090]	Time 0.767 (0.763)	Data 0.001 (0.003)	Loss 1.8721 (1.8634)	Prec@1 51.562 (51.383)	Prec@5 82.812 (80.941)
Epoch: [66][2460/14090]	Time 0.748 (0.763)	Data 0.001 (0.003)	Loss 2.1018 (1.8638)	Prec@1 49.219 (51.372)	Prec@5 76.562 (80.938)
Epoch: [66][2470/14090]	Time 0.761 (0.763)	Data 0.001 (0.003)	Loss 1.9062 (1.8639)	Prec@1 51.562 (51.370)	Prec@5 79.688 (80.933)
Epoch: [66][2480/14090]	Time 0.749 (0.763)	Data 0.001 (0.003)	Loss 2.1678 (1.8643)	Prec@1 48.438 (51.362)	Prec@5 78.906 (80.920)
Epoch: [66][2490/14090]	Time 0.753 (0.763)	Data 0.001 (0.003)	Loss 1.6806 (1.8642)	Prec@1 59.375 (51.362)	Prec@5 85.938 (80.923)
Epoch: [66][2500/14090]	Time 0.735 (0.763)	Data 0.001 (0.003)	Loss 1.9391 (1.8647)	Prec@1 48.438 (51.357)	Prec@5 78.125 (80.915)
Epoch: [66][2510/14090]	Time 0.849 (0.763)	Data 0.001 (0.003)	Loss 1.8198 (1.8649)	Prec@1 50.000 (51.356)	Prec@5 79.688 (80.912)
Epoch: [66][2520/14090]	Time 0.755 (0.763)	Data 0.001 (0.003)	Loss 1.8958 (1.8647)	Prec@1 52.344 (51.361)	Prec@5 79.688 (80.915)
Epoch: [66][2530/14090]	Time 0.746 (0.763)	Data 0.001 (0.003)	Loss 2.1511 (1.8649)	Prec@1 40.625 (51.354)	Prec@5 78.125 (80.915)
Epoch: [66][2540/14090]	Time 0.746 (0.763)	Data 0.001 (0.003)	Loss 1.7411 (1.8650)	Prec@1 55.469 (51.356)	Prec@5 85.156 (80.913)
Epoch: [66][2550/14090]	Time 0.728 (0.763)	Data 0.001 (0.003)	Loss 1.5780 (1.8649)	Prec@1 56.250 (51.355)	Prec@5 82.031 (80.911)
Epoch: [66][2560/14090]	Time 0.748 (0.763)	Data 0.001 (0.003)	Loss 1.8187 (1.8648)	Prec@1 50.000 (51.352)	Prec@5 83.594 (80.917)
Epoch: [66][2570/14090]	Time 0.727 (0.763)	Data 0.001 (0.003)	Loss 2.0056 (1.8647)	Prec@1 47.656 (51.351)	Prec@5 78.906 (80.918)
Epoch: [66][2580/14090]	Time 0.860 (0.763)	Data 0.001 (0.003)	Loss 1.8455 (1.8647)	Prec@1 50.781 (51.352)	Prec@5 82.812 (80.916)
Epoch: [66][2590/14090]	Time 0.782 (0.763)	Data 0.001 (0.003)	Loss 1.9389 (1.8644)	Prec@1 47.656 (51.358)	Prec@5 78.125 (80.923)
Epoch: [66][2600/14090]	Time 0.762 (0.763)	Data 0.001 (0.003)	Loss 1.7993 (1.8643)	Prec@1 53.906 (51.363)	Prec@5 80.469 (80.927)
Epoch: [66][2610/14090]	Time 0.724 (0.763)	Data 0.001 (0.003)	Loss 2.0057 (1.8645)	Prec@1 50.000 (51.358)	Prec@5 76.562 (80.925)
Epoch: [66][2620/14090]	Time 0.728 (0.763)	Data 0.001 (0.003)	Loss 1.8512 (1.8646)	Prec@1 51.562 (51.353)	Prec@5 84.375 (80.923)
Epoch: [66][2630/14090]	Time 0.751 (0.763)	Data 0.001 (0.003)	Loss 1.8819 (1.8644)	Prec@1 53.906 (51.357)	Prec@5 80.469 (80.927)
Epoch: [66][2640/14090]	Time 0.757 (0.763)	Data 0.001 (0.003)	Loss 1.9037 (1.8644)	Prec@1 46.094 (51.356)	Prec@5 80.469 (80.929)
Epoch: [66][2650/14090]	Time 0.897 (0.763)	Data 0.001 (0.003)	Loss 1.8079 (1.8645)	Prec@1 54.688 (51.359)	Prec@5 78.906 (80.924)
Epoch: [66][2660/14090]	Time 0.733 (0.763)	Data 0.001 (0.003)	Loss 1.8518 (1.8644)	Prec@1 49.219 (51.360)	Prec@5 77.344 (80.926)
Epoch: [66][2670/14090]	Time 0.740 (0.763)	Data 0.001 (0.003)	Loss 2.0972 (1.8644)	Prec@1 49.219 (51.357)	Prec@5 76.562 (80.925)
Epoch: [66][2680/14090]	Time 0.732 (0.763)	Data 0.001 (0.003)	Loss 1.7440 (1.8645)	Prec@1 53.125 (51.355)	Prec@5 82.031 (80.922)
Epoch: [66][2690/14090]	Time 0.751 (0.763)	Data 0.001 (0.003)	Loss 1.8862 (1.8648)	Prec@1 46.094 (51.351)	Prec@5 82.812 (80.919)
Epoch: [66][2700/14090]	Time 0.760 (0.763)	Data 0.001 (0.003)	Loss 2.0668 (1.8653)	Prec@1 48.438 (51.344)	Prec@5 78.906 (80.913)
Epoch: [66][2710/14090]	Time 0.749 (0.763)	Data 0.001 (0.003)	Loss 1.9183 (1.8655)	Prec@1 50.781 (51.345)	Prec@5 75.781 (80.907)
Epoch: [66][2720/14090]	Time 0.872 (0.763)	Data 0.001 (0.003)	Loss 1.5672 (1.8652)	Prec@1 57.812 (51.353)	Prec@5 85.156 (80.907)
Epoch: [66][2730/14090]	Time 0.782 (0.763)	Data 0.001 (0.003)	Loss 1.8841 (1.8653)	Prec@1 52.344 (51.357)	Prec@5 84.375 (80.912)
Epoch: [66][2740/14090]	Time 0.735 (0.763)	Data 0.001 (0.003)	Loss 2.0299 (1.8655)	Prec@1 53.906 (51.359)	Prec@5 78.125 (80.909)
Epoch: [66][2750/14090]	Time 0.734 (0.763)	Data 0.001 (0.003)	Loss 2.0189 (1.8658)	Prec@1 50.781 (51.354)	Prec@5 81.250 (80.909)
Epoch: [66][2760/14090]	Time 0.733 (0.763)	Data 0.001 (0.003)	Loss 1.9281 (1.8656)	Prec@1 47.656 (51.359)	Prec@5 82.812 (80.916)
Epoch: [66][2770/14090]	Time 0.738 (0.763)	Data 0.001 (0.003)	Loss 1.9978 (1.8656)	Prec@1 46.094 (51.357)	Prec@5 80.469 (80.919)
Epoch: [66][2780/14090]	Time 0.736 (0.763)	Data 0.001 (0.003)	Loss 1.9011 (1.8654)	Prec@1 57.031 (51.363)	Prec@5 80.469 (80.923)
Epoch: [66][2790/14090]	Time 0.869 (0.763)	Data 0.001 (0.003)	Loss 1.6511 (1.8652)	Prec@1 57.812 (51.362)	Prec@5 84.375 (80.931)
Epoch: [66][2800/14090]	Time 0.735 (0.763)	Data 0.001 (0.003)	Loss 1.9278 (1.8654)	Prec@1 49.219 (51.358)	Prec@5 81.250 (80.927)
Epoch: [66][2810/14090]	Time 0.749 (0.763)	Data 0.001 (0.003)	Loss 1.9816 (1.8655)	Prec@1 49.219 (51.359)	Prec@5 81.250 (80.924)
Epoch: [66][2820/14090]	Time 0.753 (0.763)	Data 0.001 (0.003)	Loss 1.6945 (1.8657)	Prec@1 52.344 (51.354)	Prec@5 86.719 (80.920)
Epoch: [66][2830/14090]	Time 0.730 (0.763)	Data 0.001 (0.003)	Loss 1.8361 (1.8657)	Prec@1 50.000 (51.349)	Prec@5 85.938 (80.925)
Epoch: [66][2840/14090]	Time 0.740 (0.763)	Data 0.001 (0.003)	Loss 1.7380 (1.8656)	Prec@1 54.688 (51.347)	Prec@5 82.031 (80.924)
Epoch: [66][2850/14090]	Time 0.770 (0.763)	Data 0.001 (0.003)	Loss 1.9259 (1.8657)	Prec@1 50.781 (51.349)	Prec@5 78.906 (80.921)
Epoch: [66][2860/14090]	Time 0.854 (0.763)	Data 0.001 (0.003)	Loss 1.4993 (1.8656)	Prec@1 58.594 (51.352)	Prec@5 86.719 (80.926)
Epoch: [66][2870/14090]	Time 0.729 (0.763)	Data 0.001 (0.003)	Loss 1.8669 (1.8657)	Prec@1 49.219 (51.345)	Prec@5 80.469 (80.925)
Epoch: [66][2880/14090]	Time 0.736 (0.763)	Data 0.001 (0.003)	Loss 1.9409 (1.8658)	Prec@1 47.656 (51.339)	Prec@5 81.250 (80.921)
Epoch: [66][2890/14090]	Time 0.764 (0.763)	Data 0.001 (0.003)	Loss 1.7883 (1.8653)	Prec@1 53.906 (51.350)	Prec@5 83.594 (80.929)
Epoch: [66][2900/14090]	Time 0.770 (0.763)	Data 0.001 (0.003)	Loss 1.7405 (1.8654)	Prec@1 50.000 (51.345)	Prec@5 85.156 (80.930)
Epoch: [66][2910/14090]	Time 0.753 (0.763)	Data 0.001 (0.003)	Loss 2.0480 (1.8652)	Prec@1 44.531 (51.351)	Prec@5 78.125 (80.934)
Epoch: [66][2920/14090]	Time 0.765 (0.763)	Data 0.001 (0.003)	Loss 2.0147 (1.8653)	Prec@1 53.125 (51.347)	Prec@5 78.125 (80.932)
Epoch: [66][2930/14090]	Time 0.913 (0.763)	Data 0.001 (0.003)	Loss 1.7288 (1.8651)	Prec@1 53.125 (51.350)	Prec@5 86.719 (80.939)
Epoch: [66][2940/14090]	Time 0.726 (0.763)	Data 0.001 (0.003)	Loss 2.1960 (1.8649)	Prec@1 42.188 (51.358)	Prec@5 75.000 (80.942)
Epoch: [66][2950/14090]	Time 0.787 (0.763)	Data 0.001 (0.003)	Loss 1.7502 (1.8647)	Prec@1 55.469 (51.361)	Prec@5 82.812 (80.946)
Epoch: [66][2960/14090]	Time 0.729 (0.763)	Data 0.001 (0.003)	Loss 1.7001 (1.8645)	Prec@1 52.344 (51.366)	Prec@5 85.156 (80.948)
Epoch: [66][2970/14090]	Time 0.736 (0.763)	Data 0.001 (0.003)	Loss 2.0385 (1.8644)	Prec@1 49.219 (51.365)	Prec@5 77.344 (80.950)
Epoch: [66][2980/14090]	Time 0.749 (0.763)	Data 0.001 (0.003)	Loss 1.7984 (1.8642)	Prec@1 50.000 (51.368)	Prec@5 78.906 (80.949)
Epoch: [66][2990/14090]	Time 0.762 (0.763)	Data 0.001 (0.003)	Loss 1.8774 (1.8643)	Prec@1 46.094 (51.366)	Prec@5 80.469 (80.948)
Epoch: [66][3000/14090]	Time 0.864 (0.763)	Data 0.001 (0.003)	Loss 1.8503 (1.8645)	Prec@1 50.000 (51.366)	Prec@5 78.906 (80.946)
Epoch: [66][3010/14090]	Time 0.739 (0.763)	Data 0.001 (0.003)	Loss 2.0078 (1.8645)	Prec@1 41.406 (51.363)	Prec@5 82.031 (80.948)
Epoch: [66][3020/14090]	Time 0.734 (0.763)	Data 0.001 (0.003)	Loss 2.0952 (1.8647)	Prec@1 47.656 (51.357)	Prec@5 77.344 (80.947)
Epoch: [66][3030/14090]	Time 0.790 (0.763)	Data 0.001 (0.003)	Loss 1.7106 (1.8644)	Prec@1 54.688 (51.369)	Prec@5 84.375 (80.954)
Epoch: [66][3040/14090]	Time 0.756 (0.763)	Data 0.001 (0.003)	Loss 1.8237 (1.8648)	Prec@1 52.344 (51.359)	Prec@5 83.594 (80.948)
Epoch: [66][3050/14090]	Time 0.726 (0.763)	Data 0.001 (0.003)	Loss 1.8707 (1.8647)	Prec@1 50.000 (51.366)	Prec@5 83.594 (80.951)
Epoch: [66][3060/14090]	Time 0.744 (0.763)	Data 0.001 (0.003)	Loss 1.7080 (1.8642)	Prec@1 53.125 (51.378)	Prec@5 84.375 (80.960)
Epoch: [66][3070/14090]	Time 0.845 (0.763)	Data 0.001 (0.003)	Loss 1.8357 (1.8641)	Prec@1 49.219 (51.379)	Prec@5 79.688 (80.960)
Epoch: [66][3080/14090]	Time 0.725 (0.763)	Data 0.001 (0.003)	Loss 1.8194 (1.8642)	Prec@1 53.906 (51.380)	Prec@5 85.156 (80.958)
Epoch: [66][3090/14090]	Time 0.724 (0.763)	Data 0.001 (0.003)	Loss 1.7037 (1.8642)	Prec@1 52.344 (51.375)	Prec@5 82.812 (80.956)
Epoch: [66][3100/14090]	Time 0.748 (0.763)	Data 0.001 (0.003)	Loss 2.0334 (1.8642)	Prec@1 53.125 (51.378)	Prec@5 74.219 (80.954)
Epoch: [66][3110/14090]	Time 0.783 (0.763)	Data 0.001 (0.003)	Loss 1.7536 (1.8642)	Prec@1 55.469 (51.380)	Prec@5 82.031 (80.955)
Epoch: [66][3120/14090]	Time 0.748 (0.763)	Data 0.001 (0.003)	Loss 1.7890 (1.8641)	Prec@1 55.469 (51.386)	Prec@5 80.469 (80.954)
Epoch: [66][3130/14090]	Time 0.731 (0.763)	Data 0.001 (0.003)	Loss 2.2648 (1.8644)	Prec@1 39.844 (51.380)	Prec@5 75.781 (80.955)
Epoch: [66][3140/14090]	Time 0.876 (0.763)	Data 0.001 (0.003)	Loss 1.8233 (1.8644)	Prec@1 49.219 (51.380)	Prec@5 81.250 (80.956)
Epoch: [66][3150/14090]	Time 0.737 (0.763)	Data 0.001 (0.003)	Loss 1.6623 (1.8642)	Prec@1 49.219 (51.380)	Prec@5 84.375 (80.959)
Epoch: [66][3160/14090]	Time 0.738 (0.763)	Data 0.001 (0.003)	Loss 1.7966 (1.8642)	Prec@1 57.812 (51.377)	Prec@5 79.688 (80.961)
Epoch: [66][3170/14090]	Time 0.721 (0.763)	Data 0.001 (0.003)	Loss 1.7046 (1.8643)	Prec@1 57.812 (51.384)	Prec@5 86.719 (80.961)
Epoch: [66][3180/14090]	Time 0.759 (0.763)	Data 0.001 (0.003)	Loss 1.7855 (1.8642)	Prec@1 53.906 (51.383)	Prec@5 85.156 (80.967)
Epoch: [66][3190/14090]	Time 0.755 (0.763)	Data 0.001 (0.003)	Loss 1.7667 (1.8644)	Prec@1 60.156 (51.377)	Prec@5 83.594 (80.966)
Epoch: [66][3200/14090]	Time 0.728 (0.763)	Data 0.001 (0.003)	Loss 1.8597 (1.8643)	Prec@1 52.344 (51.376)	Prec@5 79.688 (80.972)
Epoch: [66][3210/14090]	Time 0.868 (0.763)	Data 0.001 (0.003)	Loss 1.8540 (1.8642)	Prec@1 51.562 (51.378)	Prec@5 82.031 (80.975)
Epoch: [66][3220/14090]	Time 0.727 (0.763)	Data 0.001 (0.003)	Loss 1.9513 (1.8640)	Prec@1 50.000 (51.384)	Prec@5 81.250 (80.980)
Epoch: [66][3230/14090]	Time 0.766 (0.763)	Data 0.001 (0.003)	Loss 1.7529 (1.8640)	Prec@1 57.812 (51.381)	Prec@5 82.812 (80.977)
Epoch: [66][3240/14090]	Time 0.731 (0.763)	Data 0.001 (0.003)	Loss 1.6522 (1.8642)	Prec@1 53.906 (51.375)	Prec@5 86.719 (80.975)
Epoch: [66][3250/14090]	Time 0.752 (0.763)	Data 0.001 (0.003)	Loss 1.6556 (1.8641)	Prec@1 57.031 (51.379)	Prec@5 82.812 (80.977)
Epoch: [66][3260/14090]	Time 0.751 (0.763)	Data 0.001 (0.003)	Loss 1.6727 (1.8641)	Prec@1 55.469 (51.382)	Prec@5 87.500 (80.980)
Epoch: [66][3270/14090]	Time 0.727 (0.763)	Data 0.001 (0.003)	Loss 1.6097 (1.8639)	Prec@1 55.469 (51.382)	Prec@5 86.719 (80.982)
Epoch: [66][3280/14090]	Time 0.835 (0.763)	Data 0.001 (0.003)	Loss 1.7259 (1.8639)	Prec@1 50.781 (51.384)	Prec@5 81.250 (80.982)
Epoch: [66][3290/14090]	Time 0.756 (0.763)	Data 0.001 (0.003)	Loss 1.9343 (1.8641)	Prec@1 56.250 (51.383)	Prec@5 78.906 (80.976)
Epoch: [66][3300/14090]	Time 0.765 (0.763)	Data 0.001 (0.003)	Loss 1.7771 (1.8642)	Prec@1 52.344 (51.383)	Prec@5 82.031 (80.974)
Epoch: [66][3310/14090]	Time 0.755 (0.763)	Data 0.001 (0.003)	Loss 1.6561 (1.8641)	Prec@1 57.812 (51.386)	Prec@5 80.469 (80.975)
Epoch: [66][3320/14090]	Time 0.732 (0.763)	Data 0.001 (0.003)	Loss 1.7897 (1.8638)	Prec@1 53.906 (51.391)	Prec@5 82.031 (80.982)
Epoch: [66][3330/14090]	Time 0.725 (0.763)	Data 0.001 (0.003)	Loss 1.7951 (1.8639)	Prec@1 53.906 (51.394)	Prec@5 86.719 (80.981)
Epoch: [66][3340/14090]	Time 0.728 (0.763)	Data 0.001 (0.003)	Loss 1.8026 (1.8641)	Prec@1 53.125 (51.390)	Prec@5 79.688 (80.977)
Epoch: [66][3350/14090]	Time 0.873 (0.763)	Data 0.001 (0.003)	Loss 1.8719 (1.8643)	Prec@1 51.562 (51.385)	Prec@5 82.031 (80.975)
Epoch: [66][3360/14090]	Time 0.772 (0.763)	Data 0.001 (0.003)	Loss 1.4819 (1.8641)	Prec@1 59.375 (51.392)	Prec@5 87.500 (80.977)
Epoch: [66][3370/14090]	Time 0.729 (0.763)	Data 0.001 (0.003)	Loss 1.6337 (1.8639)	Prec@1 57.812 (51.398)	Prec@5 85.156 (80.978)
Epoch: [66][3380/14090]	Time 0.752 (0.763)	Data 0.001 (0.003)	Loss 1.8011 (1.8638)	Prec@1 53.906 (51.396)	Prec@5 77.344 (80.978)
Epoch: [66][3390/14090]	Time 0.757 (0.763)	Data 0.001 (0.003)	Loss 1.8060 (1.8638)	Prec@1 58.594 (51.400)	Prec@5 85.156 (80.976)
Epoch: [66][3400/14090]	Time 0.758 (0.763)	Data 0.001 (0.003)	Loss 1.9110 (1.8638)	Prec@1 49.219 (51.399)	Prec@5 78.906 (80.975)
Epoch: [66][3410/14090]	Time 0.773 (0.763)	Data 0.001 (0.003)	Loss 1.6310 (1.8639)	Prec@1 59.375 (51.403)	Prec@5 84.375 (80.975)
Epoch: [66][3420/14090]	Time 0.873 (0.763)	Data 0.001 (0.003)	Loss 1.7683 (1.8639)	Prec@1 52.344 (51.407)	Prec@5 82.031 (80.973)
Epoch: [66][3430/14090]	Time 0.755 (0.763)	Data 0.001 (0.003)	Loss 2.0479 (1.8638)	Prec@1 46.875 (51.407)	Prec@5 76.562 (80.975)
Epoch: [66][3440/14090]	Time 0.781 (0.763)	Data 0.001 (0.003)	Loss 1.7338 (1.8641)	Prec@1 56.250 (51.402)	Prec@5 83.594 (80.970)
Epoch: [66][3450/14090]	Time 0.755 (0.763)	Data 0.001 (0.003)	Loss 1.7855 (1.8642)	Prec@1 51.562 (51.397)	Prec@5 87.500 (80.968)
Epoch: [66][3460/14090]	Time 0.735 (0.763)	Data 0.001 (0.003)	Loss 1.9851 (1.8642)	Prec@1 48.438 (51.400)	Prec@5 80.469 (80.969)
Epoch: [66][3470/14090]	Time 0.768 (0.763)	Data 0.001 (0.002)	Loss 1.6083 (1.8642)	Prec@1 57.812 (51.399)	Prec@5 83.594 (80.969)
Epoch: [66][3480/14090]	Time 0.764 (0.763)	Data 0.001 (0.002)	Loss 1.7465 (1.8640)	Prec@1 54.688 (51.400)	Prec@5 82.031 (80.970)
Epoch: [66][3490/14090]	Time 0.861 (0.763)	Data 0.001 (0.002)	Loss 2.0094 (1.8642)	Prec@1 46.875 (51.395)	Prec@5 78.906 (80.966)
Epoch: [66][3500/14090]	Time 0.732 (0.763)	Data 0.001 (0.002)	Loss 1.6917 (1.8643)	Prec@1 50.000 (51.390)	Prec@5 83.594 (80.966)
Epoch: [66][3510/14090]	Time 0.778 (0.763)	Data 0.001 (0.002)	Loss 1.6909 (1.8644)	Prec@1 57.812 (51.386)	Prec@5 83.594 (80.965)
Epoch: [66][3520/14090]	Time 0.759 (0.763)	Data 0.001 (0.002)	Loss 1.6918 (1.8643)	Prec@1 47.656 (51.382)	Prec@5 83.594 (80.968)
Epoch: [66][3530/14090]	Time 0.734 (0.763)	Data 0.001 (0.002)	Loss 1.7885 (1.8644)	Prec@1 52.344 (51.380)	Prec@5 85.938 (80.967)
Epoch: [66][3540/14090]	Time 0.735 (0.763)	Data 0.001 (0.002)	Loss 1.7957 (1.8644)	Prec@1 53.125 (51.381)	Prec@5 80.469 (80.970)
Epoch: [66][3550/14090]	Time 0.748 (0.763)	Data 0.001 (0.002)	Loss 1.8433 (1.8646)	Prec@1 52.344 (51.375)	Prec@5 82.031 (80.969)
Epoch: [66][3560/14090]	Time 0.855 (0.763)	Data 0.001 (0.002)	Loss 1.8206 (1.8646)	Prec@1 46.094 (51.367)	Prec@5 82.031 (80.972)
Epoch: [66][3570/14090]	Time 0.762 (0.763)	Data 0.001 (0.002)	Loss 2.0834 (1.8648)	Prec@1 43.750 (51.364)	Prec@5 72.656 (80.965)
Epoch: [66][3580/14090]	Time 0.725 (0.763)	Data 0.001 (0.002)	Loss 1.8950 (1.8647)	Prec@1 51.562 (51.361)	Prec@5 80.469 (80.967)
Epoch: [66][3590/14090]	Time 0.762 (0.763)	Data 0.001 (0.002)	Loss 1.6653 (1.8646)	Prec@1 52.344 (51.359)	Prec@5 85.156 (80.967)
Epoch: [66][3600/14090]	Time 0.760 (0.763)	Data 0.001 (0.002)	Loss 1.9384 (1.8646)	Prec@1 53.125 (51.360)	Prec@5 80.469 (80.966)
Epoch: [66][3610/14090]	Time 0.753 (0.763)	Data 0.001 (0.002)	Loss 2.1374 (1.8647)	Prec@1 46.875 (51.362)	Prec@5 76.562 (80.963)
Epoch: [66][3620/14090]	Time 0.731 (0.763)	Data 0.001 (0.002)	Loss 2.0085 (1.8646)	Prec@1 50.000 (51.367)	Prec@5 80.469 (80.964)
Epoch: [66][3630/14090]	Time 0.875 (0.763)	Data 0.001 (0.002)	Loss 1.6510 (1.8644)	Prec@1 53.906 (51.371)	Prec@5 86.719 (80.964)
Epoch: [66][3640/14090]	Time 0.755 (0.763)	Data 0.001 (0.002)	Loss 1.8986 (1.8644)	Prec@1 53.125 (51.371)	Prec@5 76.562 (80.967)
Epoch: [66][3650/14090]	Time 0.742 (0.763)	Data 0.001 (0.002)	Loss 2.0333 (1.8644)	Prec@1 45.312 (51.372)	Prec@5 79.688 (80.964)
Epoch: [66][3660/14090]	Time 0.758 (0.763)	Data 0.001 (0.002)	Loss 1.8987 (1.8644)	Prec@1 46.875 (51.375)	Prec@5 82.031 (80.965)
Epoch: [66][3670/14090]	Time 0.779 (0.763)	Data 0.001 (0.002)	Loss 1.5128 (1.8643)	Prec@1 55.469 (51.376)	Prec@5 87.500 (80.965)
Epoch: [66][3680/14090]	Time 0.750 (0.763)	Data 0.001 (0.002)	Loss 1.7259 (1.8643)	Prec@1 57.812 (51.375)	Prec@5 84.375 (80.966)
Epoch: [66][3690/14090]	Time 0.766 (0.763)	Data 0.001 (0.002)	Loss 2.0600 (1.8643)	Prec@1 46.875 (51.373)	Prec@5 75.000 (80.967)
Epoch: [66][3700/14090]	Time 0.837 (0.763)	Data 0.001 (0.002)	Loss 1.8916 (1.8643)	Prec@1 44.531 (51.376)	Prec@5 82.031 (80.969)
Epoch: [66][3710/14090]	Time 0.776 (0.763)	Data 0.001 (0.002)	Loss 2.0061 (1.8644)	Prec@1 53.125 (51.381)	Prec@5 81.250 (80.969)
Epoch: [66][3720/14090]	Time 0.750 (0.763)	Data 0.001 (0.002)	Loss 1.8034 (1.8644)	Prec@1 53.125 (51.381)	Prec@5 83.594 (80.969)
Epoch: [66][3730/14090]	Time 0.733 (0.763)	Data 0.001 (0.002)	Loss 2.0200 (1.8643)	Prec@1 50.000 (51.385)	Prec@5 76.562 (80.970)
Epoch: [66][3740/14090]	Time 0.727 (0.763)	Data 0.001 (0.002)	Loss 1.9492 (1.8644)	Prec@1 49.219 (51.383)	Prec@5 78.906 (80.967)
Epoch: [66][3750/14090]	Time 0.752 (0.763)	Data 0.001 (0.002)	Loss 1.7993 (1.8642)	Prec@1 57.031 (51.388)	Prec@5 76.562 (80.968)
Epoch: [66][3760/14090]	Time 0.728 (0.763)	Data 0.001 (0.002)	Loss 1.8128 (1.8641)	Prec@1 53.125 (51.392)	Prec@5 79.688 (80.970)
Epoch: [66][3770/14090]	Time 0.834 (0.763)	Data 0.001 (0.002)	Loss 1.7537 (1.8642)	Prec@1 57.031 (51.388)	Prec@5 79.688 (80.964)
Epoch: [66][3780/14090]	Time 0.753 (0.763)	Data 0.001 (0.002)	Loss 1.6925 (1.8640)	Prec@1 50.781 (51.389)	Prec@5 82.031 (80.970)
Epoch: [66][3790/14090]	Time 0.745 (0.763)	Data 0.001 (0.002)	Loss 2.0126 (1.8641)	Prec@1 50.000 (51.387)	Prec@5 73.438 (80.965)
Epoch: [66][3800/14090]	Time 0.748 (0.763)	Data 0.001 (0.002)	Loss 1.5344 (1.8641)	Prec@1 60.156 (51.389)	Prec@5 84.375 (80.967)
Epoch: [66][3810/14090]	Time 0.780 (0.763)	Data 0.001 (0.002)	Loss 2.1440 (1.8640)	Prec@1 42.969 (51.389)	Prec@5 78.125 (80.969)
Epoch: [66][3820/14090]	Time 0.734 (0.763)	Data 0.001 (0.002)	Loss 1.9389 (1.8641)	Prec@1 55.469 (51.388)	Prec@5 79.688 (80.968)
Epoch: [66][3830/14090]	Time 0.740 (0.763)	Data 0.001 (0.002)	Loss 1.8199 (1.8640)	Prec@1 54.688 (51.387)	Prec@5 83.594 (80.970)
Epoch: [66][3840/14090]	Time 0.874 (0.763)	Data 0.001 (0.002)	Loss 1.7305 (1.8639)	Prec@1 57.812 (51.388)	Prec@5 82.031 (80.975)
Epoch: [66][3850/14090]	Time 0.740 (0.763)	Data 0.001 (0.002)	Loss 1.9193 (1.8639)	Prec@1 50.781 (51.388)	Prec@5 78.125 (80.972)
Epoch: [66][3860/14090]	Time 0.733 (0.763)	Data 0.001 (0.002)	Loss 1.9503 (1.8642)	Prec@1 51.562 (51.384)	Prec@5 78.906 (80.964)
Epoch: [66][3870/14090]	Time 0.745 (0.763)	Data 0.001 (0.002)	Loss 1.7409 (1.8642)	Prec@1 54.688 (51.386)	Prec@5 83.594 (80.966)
Epoch: [66][3880/14090]	Time 0.775 (0.763)	Data 0.001 (0.002)	Loss 1.7695 (1.8640)	Prec@1 56.250 (51.393)	Prec@5 83.594 (80.969)
Epoch: [66][3890/14090]	Time 0.739 (0.763)	Data 0.001 (0.002)	Loss 1.8834 (1.8637)	Prec@1 50.000 (51.399)	Prec@5 78.906 (80.973)
Epoch: [66][3900/14090]	Time 0.732 (0.763)	Data 0.001 (0.002)	Loss 1.8780 (1.8636)	Prec@1 46.875 (51.397)	Prec@5 81.250 (80.974)
Epoch: [66][3910/14090]	Time 0.865 (0.763)	Data 0.001 (0.002)	Loss 1.9540 (1.8636)	Prec@1 49.219 (51.401)	Prec@5 82.812 (80.974)
Epoch: [66][3920/14090]	Time 0.765 (0.763)	Data 0.001 (0.002)	Loss 1.9455 (1.8636)	Prec@1 47.656 (51.399)	Prec@5 82.812 (80.975)
Epoch: [66][3930/14090]	Time 0.728 (0.763)	Data 0.001 (0.002)	Loss 1.7422 (1.8634)	Prec@1 49.219 (51.403)	Prec@5 84.375 (80.978)
Epoch: [66][3940/14090]	Time 0.748 (0.763)	Data 0.001 (0.002)	Loss 1.8251 (1.8634)	Prec@1 58.594 (51.403)	Prec@5 80.469 (80.979)
Epoch: [66][3950/14090]	Time 0.744 (0.763)	Data 0.001 (0.002)	Loss 1.8423 (1.8631)	Prec@1 51.562 (51.412)	Prec@5 82.031 (80.982)
Epoch: [66][3960/14090]	Time 0.732 (0.763)	Data 0.001 (0.002)	Loss 1.6977 (1.8627)	Prec@1 50.781 (51.415)	Prec@5 83.594 (80.989)
Epoch: [66][3970/14090]	Time 0.725 (0.763)	Data 0.001 (0.002)	Loss 1.9613 (1.8627)	Prec@1 53.906 (51.418)	Prec@5 77.344 (80.988)
Epoch: [66][3980/14090]	Time 0.862 (0.763)	Data 0.001 (0.002)	Loss 1.6652 (1.8626)	Prec@1 57.031 (51.417)	Prec@5 82.812 (80.989)
Epoch: [66][3990/14090]	Time 0.744 (0.763)	Data 0.001 (0.002)	Loss 1.8099 (1.8627)	Prec@1 53.906 (51.414)	Prec@5 82.031 (80.989)
Epoch: [66][4000/14090]	Time 0.735 (0.763)	Data 0.001 (0.002)	Loss 2.0320 (1.8627)	Prec@1 50.781 (51.415)	Prec@5 78.125 (80.990)
Epoch: [66][4010/14090]	Time 0.783 (0.763)	Data 0.001 (0.002)	Loss 1.8224 (1.8626)	Prec@1 50.781 (51.411)	Prec@5 82.812 (80.996)
Epoch: [66][4020/14090]	Time 0.769 (0.763)	Data 0.001 (0.002)	Loss 1.7215 (1.8627)	Prec@1 52.344 (51.410)	Prec@5 86.719 (80.997)
Epoch: [66][4030/14090]	Time 0.767 (0.763)	Data 0.001 (0.002)	Loss 1.9651 (1.8628)	Prec@1 45.312 (51.410)	Prec@5 81.250 (80.993)
Epoch: [66][4040/14090]	Time 0.731 (0.763)	Data 0.001 (0.002)	Loss 1.9582 (1.8630)	Prec@1 46.875 (51.407)	Prec@5 78.906 (80.993)
Epoch: [66][4050/14090]	Time 0.838 (0.763)	Data 0.001 (0.002)	Loss 1.8385 (1.8629)	Prec@1 43.750 (51.405)	Prec@5 83.594 (80.995)
Epoch: [66][4060/14090]	Time 0.733 (0.763)	Data 0.001 (0.002)	Loss 1.9783 (1.8628)	Prec@1 43.750 (51.405)	Prec@5 78.906 (80.997)
Epoch: [66][4070/14090]	Time 0.771 (0.763)	Data 0.001 (0.002)	Loss 1.7972 (1.8627)	Prec@1 50.781 (51.407)	Prec@5 81.250 (80.997)
Epoch: [66][4080/14090]	Time 0.739 (0.763)	Data 0.001 (0.002)	Loss 1.5896 (1.8626)	Prec@1 59.375 (51.410)	Prec@5 85.938 (80.999)
Epoch: [66][4090/14090]	Time 0.734 (0.763)	Data 0.001 (0.002)	Loss 1.9732 (1.8628)	Prec@1 53.125 (51.406)	Prec@5 79.688 (80.996)
Epoch: [66][4100/14090]	Time 0.755 (0.763)	Data 0.001 (0.002)	Loss 1.8418 (1.8628)	Prec@1 50.781 (51.407)	Prec@5 82.031 (80.995)
Epoch: [66][4110/14090]	Time 0.773 (0.763)	Data 0.001 (0.002)	Loss 1.9104 (1.8626)	Prec@1 46.094 (51.411)	Prec@5 78.125 (81.000)
Epoch: [66][4120/14090]	Time 0.835 (0.763)	Data 0.001 (0.002)	Loss 1.8882 (1.8626)	Prec@1 53.906 (51.410)	Prec@5 77.344 (80.996)
Epoch: [66][4130/14090]	Time 0.735 (0.763)	Data 0.001 (0.002)	Loss 1.9665 (1.8627)	Prec@1 50.781 (51.406)	Prec@5 77.344 (80.996)
Epoch: [66][4140/14090]	Time 0.737 (0.763)	Data 0.001 (0.002)	Loss 1.8701 (1.8626)	Prec@1 46.875 (51.405)	Prec@5 81.250 (80.997)
Epoch: [66][4150/14090]	Time 0.724 (0.763)	Data 0.001 (0.002)	Loss 1.7485 (1.8627)	Prec@1 52.344 (51.405)	Prec@5 85.938 (81.001)
Epoch: [66][4160/14090]	Time 0.728 (0.763)	Data 0.001 (0.002)	Loss 1.9213 (1.8627)	Prec@1 47.656 (51.404)	Prec@5 85.156 (81.003)
Epoch: [66][4170/14090]	Time 0.742 (0.763)	Data 0.001 (0.002)	Loss 2.1999 (1.8626)	Prec@1 43.750 (51.403)	Prec@5 71.875 (81.001)
Epoch: [66][4180/14090]	Time 0.772 (0.763)	Data 0.001 (0.002)	Loss 1.7825 (1.8627)	Prec@1 50.781 (51.404)	Prec@5 81.250 (81.000)
Epoch: [66][4190/14090]	Time 0.871 (0.763)	Data 0.001 (0.002)	Loss 1.4708 (1.8623)	Prec@1 53.906 (51.411)	Prec@5 87.500 (81.004)
Epoch: [66][4200/14090]	Time 0.750 (0.763)	Data 0.001 (0.002)	Loss 1.7935 (1.8622)	Prec@1 50.781 (51.417)	Prec@5 86.719 (81.005)
Epoch: [66][4210/14090]	Time 0.753 (0.763)	Data 0.001 (0.002)	Loss 2.0383 (1.8623)	Prec@1 49.219 (51.412)	Prec@5 78.906 (81.001)
Epoch: [66][4220/14090]	Time 0.763 (0.763)	Data 0.001 (0.002)	Loss 1.7825 (1.8625)	Prec@1 52.344 (51.404)	Prec@5 80.469 (80.999)
Epoch: [66][4230/14090]	Time 0.741 (0.763)	Data 0.001 (0.002)	Loss 1.9231 (1.8625)	Prec@1 52.344 (51.409)	Prec@5 76.562 (80.997)
Epoch: [66][4240/14090]	Time 0.764 (0.763)	Data 0.001 (0.002)	Loss 1.8657 (1.8626)	Prec@1 53.125 (51.405)	Prec@5 84.375 (80.995)
Epoch: [66][4250/14090]	Time 0.732 (0.763)	Data 0.001 (0.002)	Loss 1.9387 (1.8626)	Prec@1 53.125 (51.403)	Prec@5 79.688 (80.997)
Epoch: [66][4260/14090]	Time 0.861 (0.763)	Data 0.001 (0.002)	Loss 1.7080 (1.8627)	Prec@1 54.688 (51.402)	Prec@5 88.281 (80.996)
Epoch: [66][4270/14090]	Time 0.730 (0.763)	Data 0.001 (0.002)	Loss 1.9462 (1.8627)	Prec@1 46.094 (51.397)	Prec@5 82.031 (80.995)
Epoch: [66][4280/14090]	Time 0.724 (0.763)	Data 0.001 (0.002)	Loss 1.7704 (1.8627)	Prec@1 56.250 (51.398)	Prec@5 84.375 (80.993)
Epoch: [66][4290/14090]	Time 0.758 (0.763)	Data 0.001 (0.002)	Loss 1.7280 (1.8627)	Prec@1 52.344 (51.396)	Prec@5 82.812 (80.993)
Epoch: [66][4300/14090]	Time 0.746 (0.763)	Data 0.001 (0.002)	Loss 1.7857 (1.8628)	Prec@1 52.344 (51.390)	Prec@5 80.469 (80.991)
Epoch: [66][4310/14090]	Time 0.733 (0.763)	Data 0.001 (0.002)	Loss 1.7101 (1.8628)	Prec@1 50.000 (51.389)	Prec@5 83.594 (80.994)
Epoch: [66][4320/14090]	Time 0.729 (0.763)	Data 0.001 (0.002)	Loss 1.8756 (1.8629)	Prec@1 55.469 (51.389)	Prec@5 82.812 (80.993)
Epoch: [66][4330/14090]	Time 0.883 (0.763)	Data 0.001 (0.002)	Loss 1.6774 (1.8632)	Prec@1 56.250 (51.377)	Prec@5 83.594 (80.989)
Epoch: [66][4340/14090]	Time 0.751 (0.763)	Data 0.001 (0.002)	Loss 1.8052 (1.8632)	Prec@1 53.125 (51.380)	Prec@5 82.031 (80.988)
Epoch: [66][4350/14090]	Time 0.773 (0.763)	Data 0.001 (0.002)	Loss 2.2076 (1.8636)	Prec@1 42.188 (51.371)	Prec@5 75.781 (80.981)
Epoch: [66][4360/14090]	Time 0.734 (0.763)	Data 0.001 (0.002)	Loss 1.9548 (1.8638)	Prec@1 50.000 (51.365)	Prec@5 79.688 (80.978)
Epoch: [66][4370/14090]	Time 0.767 (0.763)	Data 0.001 (0.002)	Loss 2.0511 (1.8637)	Prec@1 46.094 (51.369)	Prec@5 79.688 (80.980)
Epoch: [66][4380/14090]	Time 0.759 (0.763)	Data 0.001 (0.002)	Loss 1.7038 (1.8638)	Prec@1 53.125 (51.367)	Prec@5 82.812 (80.979)
Epoch: [66][4390/14090]	Time 0.753 (0.763)	Data 0.001 (0.002)	Loss 2.2328 (1.8639)	Prec@1 39.844 (51.364)	Prec@5 72.656 (80.978)
Epoch: [66][4400/14090]	Time 0.872 (0.763)	Data 0.001 (0.002)	Loss 1.5945 (1.8640)	Prec@1 53.906 (51.363)	Prec@5 87.500 (80.974)
Epoch: [66][4410/14090]	Time 0.719 (0.763)	Data 0.001 (0.002)	Loss 1.9536 (1.8641)	Prec@1 47.656 (51.361)	Prec@5 79.688 (80.973)
Epoch: [66][4420/14090]	Time 0.740 (0.763)	Data 0.001 (0.002)	Loss 2.1231 (1.8641)	Prec@1 42.188 (51.361)	Prec@5 74.219 (80.972)
Epoch: [66][4430/14090]	Time 0.734 (0.763)	Data 0.001 (0.002)	Loss 1.8637 (1.8641)	Prec@1 55.469 (51.365)	Prec@5 79.688 (80.973)
Epoch: [66][4440/14090]	Time 0.728 (0.763)	Data 0.001 (0.002)	Loss 1.7640 (1.8639)	Prec@1 50.781 (51.368)	Prec@5 85.938 (80.976)
Epoch: [66][4450/14090]	Time 0.768 (0.763)	Data 0.001 (0.002)	Loss 1.9364 (1.8639)	Prec@1 45.312 (51.370)	Prec@5 80.469 (80.977)
Epoch: [66][4460/14090]	Time 0.775 (0.763)	Data 0.001 (0.002)	Loss 1.7733 (1.8638)	Prec@1 53.125 (51.374)	Prec@5 80.469 (80.978)
Epoch: [66][4470/14090]	Time 0.833 (0.763)	Data 0.001 (0.002)	Loss 2.0953 (1.8639)	Prec@1 43.750 (51.372)	Prec@5 74.219 (80.974)
Epoch: [66][4480/14090]	Time 0.734 (0.763)	Data 0.001 (0.002)	Loss 2.0033 (1.8638)	Prec@1 50.000 (51.377)	Prec@5 77.344 (80.973)
Epoch: [66][4490/14090]	Time 0.733 (0.763)	Data 0.001 (0.002)	Loss 1.9264 (1.8637)	Prec@1 52.344 (51.379)	Prec@5 78.906 (80.973)
Epoch: [66][4500/14090]	Time 0.730 (0.763)	Data 0.001 (0.002)	Loss 1.7709 (1.8638)	Prec@1 53.125 (51.381)	Prec@5 81.250 (80.970)
Epoch: [66][4510/14090]	Time 0.764 (0.763)	Data 0.001 (0.002)	Loss 1.8932 (1.8639)	Prec@1 46.094 (51.378)	Prec@5 85.938 (80.967)
Epoch: [66][4520/14090]	Time 0.765 (0.763)	Data 0.001 (0.002)	Loss 1.8252 (1.8640)	Prec@1 50.781 (51.379)	Prec@5 81.250 (80.965)
Epoch: [66][4530/14090]	Time 0.769 (0.763)	Data 0.001 (0.002)	Loss 1.8585 (1.8641)	Prec@1 51.562 (51.377)	Prec@5 77.344 (80.964)
Epoch: [66][4540/14090]	Time 0.849 (0.763)	Data 0.001 (0.002)	Loss 1.7200 (1.8640)	Prec@1 54.688 (51.382)	Prec@5 82.031 (80.966)
Epoch: [66][4550/14090]	Time 0.732 (0.763)	Data 0.001 (0.002)	Loss 1.8712 (1.8640)	Prec@1 50.000 (51.383)	Prec@5 82.812 (80.968)
Epoch: [66][4560/14090]	Time 0.752 (0.763)	Data 0.001 (0.002)	Loss 1.9128 (1.8639)	Prec@1 52.344 (51.384)	Prec@5 80.469 (80.971)
Epoch: [66][4570/14090]	Time 0.756 (0.763)	Data 0.001 (0.002)	Loss 2.1395 (1.8642)	Prec@1 53.125 (51.381)	Prec@5 73.438 (80.967)
Epoch: [66][4580/14090]	Time 0.740 (0.763)	Data 0.001 (0.002)	Loss 1.7184 (1.8641)	Prec@1 60.938 (51.387)	Prec@5 82.812 (80.968)
Epoch: [66][4590/14090]	Time 0.729 (0.763)	Data 0.001 (0.002)	Loss 2.0095 (1.8642)	Prec@1 52.344 (51.386)	Prec@5 78.906 (80.966)
Epoch: [66][4600/14090]	Time 0.775 (0.763)	Data 0.001 (0.002)	Loss 1.7927 (1.8642)	Prec@1 57.812 (51.390)	Prec@5 78.906 (80.970)
Epoch: [66][4610/14090]	Time 0.828 (0.763)	Data 0.001 (0.002)	Loss 1.9367 (1.8640)	Prec@1 46.875 (51.396)	Prec@5 85.156 (80.975)
Epoch: [66][4620/14090]	Time 0.734 (0.763)	Data 0.001 (0.002)	Loss 1.8741 (1.8641)	Prec@1 49.219 (51.396)	Prec@5 82.812 (80.978)
Epoch: [66][4630/14090]	Time 0.735 (0.763)	Data 0.001 (0.002)	Loss 2.0286 (1.8640)	Prec@1 50.000 (51.398)	Prec@5 78.125 (80.980)
Epoch: [66][4640/14090]	Time 0.738 (0.763)	Data 0.001 (0.002)	Loss 1.8143 (1.8639)	Prec@1 53.906 (51.399)	Prec@5 80.469 (80.980)
Epoch: [66][4650/14090]	Time 0.737 (0.763)	Data 0.001 (0.002)	Loss 1.9270 (1.8638)	Prec@1 50.781 (51.402)	Prec@5 82.812 (80.981)
Epoch: [66][4660/14090]	Time 0.752 (0.763)	Data 0.001 (0.002)	Loss 1.8505 (1.8638)	Prec@1 46.094 (51.399)	Prec@5 80.469 (80.983)
Epoch: [66][4670/14090]	Time 0.735 (0.763)	Data 0.001 (0.002)	Loss 1.7118 (1.8640)	Prec@1 54.688 (51.392)	Prec@5 78.906 (80.979)
Epoch: [66][4680/14090]	Time 0.879 (0.763)	Data 0.001 (0.002)	Loss 1.7003 (1.8641)	Prec@1 57.812 (51.390)	Prec@5 86.719 (80.978)
Epoch: [66][4690/14090]	Time 0.735 (0.763)	Data 0.001 (0.002)	Loss 1.6432 (1.8639)	Prec@1 61.719 (51.395)	Prec@5 87.500 (80.985)
Epoch: [66][4700/14090]	Time 0.729 (0.763)	Data 0.001 (0.002)	Loss 1.7562 (1.8640)	Prec@1 53.906 (51.391)	Prec@5 82.031 (80.984)
Epoch: [66][4710/14090]	Time 0.738 (0.763)	Data 0.001 (0.002)	Loss 1.9463 (1.8640)	Prec@1 50.781 (51.393)	Prec@5 75.781 (80.982)
Epoch: [66][4720/14090]	Time 0.745 (0.763)	Data 0.001 (0.002)	Loss 1.5828 (1.8638)	Prec@1 56.250 (51.395)	Prec@5 87.500 (80.986)
Epoch: [66][4730/14090]	Time 0.750 (0.763)	Data 0.001 (0.002)	Loss 1.9083 (1.8638)	Prec@1 51.562 (51.394)	Prec@5 80.469 (80.985)
Epoch: [66][4740/14090]	Time 0.770 (0.763)	Data 0.001 (0.002)	Loss 1.8221 (1.8637)	Prec@1 53.125 (51.392)	Prec@5 80.469 (80.988)
Epoch: [66][4750/14090]	Time 0.847 (0.763)	Data 0.001 (0.002)	Loss 1.9770 (1.8635)	Prec@1 46.875 (51.395)	Prec@5 82.031 (80.991)
Epoch: [66][4760/14090]	Time 0.740 (0.763)	Data 0.001 (0.002)	Loss 1.8171 (1.8637)	Prec@1 49.219 (51.391)	Prec@5 81.250 (80.987)
Epoch: [66][4770/14090]	Time 0.733 (0.763)	Data 0.001 (0.002)	Loss 1.9039 (1.8636)	Prec@1 51.562 (51.392)	Prec@5 78.125 (80.991)
Epoch: [66][4780/14090]	Time 0.726 (0.762)	Data 0.001 (0.002)	Loss 1.8726 (1.8638)	Prec@1 46.875 (51.384)	Prec@5 82.031 (80.987)
Epoch: [66][4790/14090]	Time 0.755 (0.762)	Data 0.001 (0.002)	Loss 1.8677 (1.8639)	Prec@1 53.906 (51.381)	Prec@5 78.125 (80.986)
Epoch: [66][4800/14090]	Time 0.755 (0.763)	Data 0.001 (0.002)	Loss 1.8653 (1.8638)	Prec@1 48.438 (51.384)	Prec@5 81.250 (80.988)
Epoch: [66][4810/14090]	Time 0.754 (0.763)	Data 0.001 (0.002)	Loss 1.7944 (1.8639)	Prec@1 46.875 (51.382)	Prec@5 84.375 (80.989)
Epoch: [66][4820/14090]	Time 0.856 (0.763)	Data 0.001 (0.002)	Loss 2.0194 (1.8640)	Prec@1 48.438 (51.380)	Prec@5 79.688 (80.987)
Epoch: [66][4830/14090]	Time 0.762 (0.763)	Data 0.001 (0.002)	Loss 1.6491 (1.8640)	Prec@1 52.344 (51.382)	Prec@5 86.719 (80.987)
Epoch: [66][4840/14090]	Time 0.769 (0.762)	Data 0.001 (0.002)	Loss 2.0509 (1.8641)	Prec@1 46.094 (51.382)	Prec@5 78.906 (80.985)
Epoch: [66][4850/14090]	Time 0.753 (0.763)	Data 0.001 (0.002)	Loss 1.5583 (1.8640)	Prec@1 57.031 (51.383)	Prec@5 86.719 (80.985)
Epoch: [66][4860/14090]	Time 0.790 (0.763)	Data 0.001 (0.002)	Loss 1.8346 (1.8642)	Prec@1 54.688 (51.379)	Prec@5 84.375 (80.984)
Epoch: [66][4870/14090]	Time 0.769 (0.763)	Data 0.001 (0.002)	Loss 1.9386 (1.8640)	Prec@1 49.219 (51.381)	Prec@5 78.906 (80.987)
Epoch: [66][4880/14090]	Time 0.728 (0.763)	Data 0.001 (0.002)	Loss 2.0557 (1.8642)	Prec@1 49.219 (51.379)	Prec@5 78.125 (80.986)
Epoch: [66][4890/14090]	Time 0.853 (0.763)	Data 0.001 (0.002)	Loss 1.7808 (1.8641)	Prec@1 53.906 (51.380)	Prec@5 82.812 (80.990)
Epoch: [66][4900/14090]	Time 0.736 (0.763)	Data 0.001 (0.002)	Loss 1.8619 (1.8642)	Prec@1 51.562 (51.379)	Prec@5 82.812 (80.989)
Epoch: [66][4910/14090]	Time 0.733 (0.763)	Data 0.001 (0.002)	Loss 1.9008 (1.8644)	Prec@1 46.875 (51.373)	Prec@5 78.906 (80.984)
Epoch: [66][4920/14090]	Time 0.724 (0.763)	Data 0.001 (0.002)	Loss 1.7012 (1.8643)	Prec@1 51.562 (51.375)	Prec@5 83.594 (80.987)
Epoch: [66][4930/14090]	Time 0.754 (0.763)	Data 0.001 (0.002)	Loss 2.0392 (1.8644)	Prec@1 53.125 (51.371)	Prec@5 78.906 (80.984)
Epoch: [66][4940/14090]	Time 0.749 (0.763)	Data 0.001 (0.002)	Loss 1.6753 (1.8643)	Prec@1 57.031 (51.369)	Prec@5 85.938 (80.986)
Epoch: [66][4950/14090]	Time 0.741 (0.763)	Data 0.001 (0.002)	Loss 1.8723 (1.8644)	Prec@1 50.000 (51.367)	Prec@5 78.125 (80.984)
Epoch: [66][4960/14090]	Time 0.850 (0.763)	Data 0.001 (0.002)	Loss 1.9861 (1.8644)	Prec@1 51.562 (51.367)	Prec@5 82.031 (80.986)
Epoch: [66][4970/14090]	Time 0.740 (0.763)	Data 0.001 (0.002)	Loss 1.8456 (1.8644)	Prec@1 57.812 (51.367)	Prec@5 80.469 (80.985)
Epoch: [66][4980/14090]	Time 0.731 (0.763)	Data 0.001 (0.002)	Loss 1.9279 (1.8645)	Prec@1 50.000 (51.366)	Prec@5 80.469 (80.984)
Epoch: [66][4990/14090]	Time 0.757 (0.763)	Data 0.001 (0.002)	Loss 1.9048 (1.8645)	Prec@1 54.688 (51.368)	Prec@5 75.000 (80.984)
Epoch: [66][5000/14090]	Time 0.785 (0.763)	Data 0.001 (0.002)	Loss 1.7252 (1.8645)	Prec@1 57.031 (51.372)	Prec@5 82.031 (80.983)
Epoch: [66][5010/14090]	Time 0.739 (0.763)	Data 0.001 (0.002)	Loss 1.9277 (1.8643)	Prec@1 49.219 (51.374)	Prec@5 80.469 (80.987)
Epoch: [66][5020/14090]	Time 0.736 (0.763)	Data 0.001 (0.002)	Loss 2.1426 (1.8645)	Prec@1 42.969 (51.373)	Prec@5 76.562 (80.985)
Epoch: [66][5030/14090]	Time 0.861 (0.763)	Data 0.001 (0.002)	Loss 1.9576 (1.8645)	Prec@1 54.688 (51.374)	Prec@5 75.781 (80.985)
Epoch: [66][5040/14090]	Time 0.721 (0.763)	Data 0.001 (0.002)	Loss 1.8511 (1.8645)	Prec@1 45.312 (51.374)	Prec@5 79.688 (80.985)
Epoch: [66][5050/14090]	Time 0.741 (0.763)	Data 0.001 (0.002)	Loss 2.1183 (1.8645)	Prec@1 47.656 (51.373)	Prec@5 78.906 (80.987)
Epoch: [66][5060/14090]	Time 0.779 (0.763)	Data 0.001 (0.002)	Loss 1.8850 (1.8646)	Prec@1 55.469 (51.371)	Prec@5 79.688 (80.985)
Epoch: [66][5070/14090]	Time 0.756 (0.763)	Data 0.001 (0.002)	Loss 1.7379 (1.8644)	Prec@1 50.000 (51.375)	Prec@5 84.375 (80.989)
Epoch: [66][5080/14090]	Time 0.736 (0.763)	Data 0.001 (0.002)	Loss 1.9096 (1.8645)	Prec@1 53.125 (51.374)	Prec@5 79.688 (80.990)
Epoch: [66][5090/14090]	Time 0.751 (0.763)	Data 0.001 (0.002)	Loss 1.7718 (1.8644)	Prec@1 53.125 (51.375)	Prec@5 82.031 (80.990)
Epoch: [66][5100/14090]	Time 0.853 (0.763)	Data 0.001 (0.002)	Loss 1.7093 (1.8645)	Prec@1 59.375 (51.374)	Prec@5 80.469 (80.988)
Epoch: [66][5110/14090]	Time 0.737 (0.762)	Data 0.001 (0.002)	Loss 1.8683 (1.8644)	Prec@1 50.781 (51.379)	Prec@5 82.031 (80.988)
Epoch: [66][5120/14090]	Time 0.725 (0.762)	Data 0.001 (0.002)	Loss 1.7128 (1.8643)	Prec@1 57.031 (51.379)	Prec@5 82.031 (80.989)
Epoch: [66][5130/14090]	Time 0.720 (0.762)	Data 0.001 (0.002)	Loss 1.8189 (1.8644)	Prec@1 56.250 (51.374)	Prec@5 81.250 (80.987)
Epoch: [66][5140/14090]	Time 0.743 (0.762)	Data 0.001 (0.002)	Loss 1.6964 (1.8643)	Prec@1 50.781 (51.372)	Prec@5 82.031 (80.989)
Epoch: [66][5150/14090]	Time 0.752 (0.762)	Data 0.001 (0.002)	Loss 2.1791 (1.8644)	Prec@1 45.312 (51.373)	Prec@5 73.438 (80.987)
Epoch: [66][5160/14090]	Time 0.769 (0.762)	Data 0.001 (0.002)	Loss 1.9265 (1.8644)	Prec@1 50.781 (51.374)	Prec@5 83.594 (80.988)
Epoch: [66][5170/14090]	Time 0.863 (0.763)	Data 0.001 (0.002)	Loss 1.8573 (1.8644)	Prec@1 49.219 (51.372)	Prec@5 79.688 (80.986)
Epoch: [66][5180/14090]	Time 0.757 (0.762)	Data 0.001 (0.002)	Loss 1.9704 (1.8645)	Prec@1 46.094 (51.368)	Prec@5 78.125 (80.983)
Epoch: [66][5190/14090]	Time 0.722 (0.762)	Data 0.001 (0.002)	Loss 2.0376 (1.8647)	Prec@1 47.656 (51.366)	Prec@5 72.656 (80.979)
Epoch: [66][5200/14090]	Time 0.747 (0.762)	Data 0.001 (0.002)	Loss 2.0051 (1.8648)	Prec@1 52.344 (51.364)	Prec@5 77.344 (80.977)
Epoch: [66][5210/14090]	Time 0.745 (0.762)	Data 0.001 (0.002)	Loss 1.5707 (1.8648)	Prec@1 60.156 (51.361)	Prec@5 88.281 (80.975)
Epoch: [66][5220/14090]	Time 0.753 (0.762)	Data 0.001 (0.002)	Loss 1.8542 (1.8647)	Prec@1 50.781 (51.362)	Prec@5 84.375 (80.978)
Epoch: [66][5230/14090]	Time 0.737 (0.762)	Data 0.001 (0.002)	Loss 2.1283 (1.8648)	Prec@1 46.094 (51.359)	Prec@5 74.219 (80.977)
Epoch: [66][5240/14090]	Time 0.818 (0.762)	Data 0.001 (0.002)	Loss 1.7548 (1.8648)	Prec@1 49.219 (51.360)	Prec@5 82.812 (80.978)
Epoch: [66][5250/14090]	Time 0.735 (0.762)	Data 0.001 (0.002)	Loss 1.6061 (1.8648)	Prec@1 60.938 (51.360)	Prec@5 85.156 (80.978)
Epoch: [66][5260/14090]	Time 0.737 (0.762)	Data 0.001 (0.002)	Loss 1.8096 (1.8650)	Prec@1 51.562 (51.357)	Prec@5 85.938 (80.976)
Epoch: [66][5270/14090]	Time 0.720 (0.762)	Data 0.001 (0.002)	Loss 1.9662 (1.8650)	Prec@1 45.312 (51.355)	Prec@5 74.219 (80.974)
Epoch: [66][5280/14090]	Time 0.737 (0.762)	Data 0.001 (0.002)	Loss 2.1014 (1.8651)	Prec@1 49.219 (51.354)	Prec@5 71.875 (80.973)
Epoch: [66][5290/14090]	Time 0.759 (0.762)	Data 0.001 (0.002)	Loss 1.9738 (1.8651)	Prec@1 45.312 (51.355)	Prec@5 78.906 (80.973)
Epoch: [66][5300/14090]	Time 0.754 (0.762)	Data 0.001 (0.002)	Loss 1.8239 (1.8650)	Prec@1 56.250 (51.360)	Prec@5 79.688 (80.976)
Epoch: [66][5310/14090]	Time 0.859 (0.762)	Data 0.001 (0.002)	Loss 1.7602 (1.8650)	Prec@1 56.250 (51.358)	Prec@5 83.594 (80.976)
Epoch: [66][5320/14090]	Time 0.738 (0.762)	Data 0.001 (0.002)	Loss 2.1213 (1.8650)	Prec@1 48.438 (51.359)	Prec@5 74.219 (80.978)
Epoch: [66][5330/14090]	Time 0.719 (0.762)	Data 0.001 (0.002)	Loss 2.0238 (1.8651)	Prec@1 53.125 (51.358)	Prec@5 80.469 (80.976)
Epoch: [66][5340/14090]	Time 0.755 (0.762)	Data 0.001 (0.002)	Loss 2.0869 (1.8652)	Prec@1 50.000 (51.356)	Prec@5 76.562 (80.974)
Epoch: [66][5350/14090]	Time 0.732 (0.762)	Data 0.001 (0.002)	Loss 1.7312 (1.8652)	Prec@1 55.469 (51.359)	Prec@5 83.594 (80.972)
Epoch: [66][5360/14090]	Time 0.742 (0.762)	Data 0.001 (0.002)	Loss 2.0026 (1.8652)	Prec@1 46.094 (51.357)	Prec@5 80.469 (80.973)
Epoch: [66][5370/14090]	Time 0.776 (0.762)	Data 0.001 (0.002)	Loss 1.9411 (1.8654)	Prec@1 50.000 (51.354)	Prec@5 77.344 (80.970)
Epoch: [66][5380/14090]	Time 0.865 (0.762)	Data 0.001 (0.002)	Loss 1.8700 (1.8655)	Prec@1 49.219 (51.352)	Prec@5 82.031 (80.967)
Epoch: [66][5390/14090]	Time 0.778 (0.762)	Data 0.001 (0.002)	Loss 1.6735 (1.8654)	Prec@1 62.500 (51.354)	Prec@5 85.156 (80.968)
Epoch: [66][5400/14090]	Time 0.759 (0.762)	Data 0.001 (0.002)	Loss 1.8881 (1.8654)	Prec@1 53.125 (51.353)	Prec@5 80.469 (80.968)
Epoch: [66][5410/14090]	Time 0.735 (0.762)	Data 0.001 (0.002)	Loss 2.0187 (1.8655)	Prec@1 46.875 (51.350)	Prec@5 75.781 (80.966)
Epoch: [66][5420/14090]	Time 0.753 (0.762)	Data 0.001 (0.002)	Loss 2.1632 (1.8656)	Prec@1 46.875 (51.349)	Prec@5 73.438 (80.964)
Epoch: [66][5430/14090]	Time 0.719 (0.762)	Data 0.001 (0.002)	Loss 1.7337 (1.8657)	Prec@1 57.031 (51.348)	Prec@5 82.812 (80.962)
Epoch: [66][5440/14090]	Time 0.744 (0.762)	Data 0.001 (0.002)	Loss 1.9579 (1.8658)	Prec@1 47.656 (51.347)	Prec@5 79.688 (80.962)
Epoch: [66][5450/14090]	Time 0.890 (0.762)	Data 0.001 (0.002)	Loss 1.6668 (1.8657)	Prec@1 54.688 (51.345)	Prec@5 83.594 (80.964)
Epoch: [66][5460/14090]	Time 0.784 (0.762)	Data 0.001 (0.002)	Loss 1.6983 (1.8658)	Prec@1 59.375 (51.346)	Prec@5 87.500 (80.964)
Epoch: [66][5470/14090]	Time 0.756 (0.762)	Data 0.001 (0.002)	Loss 1.8132 (1.8659)	Prec@1 57.031 (51.344)	Prec@5 83.594 (80.962)
Epoch: [66][5480/14090]	Time 0.726 (0.762)	Data 0.001 (0.002)	Loss 1.8159 (1.8660)	Prec@1 52.344 (51.341)	Prec@5 83.594 (80.963)
Epoch: [66][5490/14090]	Time 0.739 (0.762)	Data 0.001 (0.002)	Loss 1.5719 (1.8657)	Prec@1 57.812 (51.348)	Prec@5 87.500 (80.968)
Epoch: [66][5500/14090]	Time 0.727 (0.762)	Data 0.001 (0.002)	Loss 1.9262 (1.8657)	Prec@1 48.438 (51.350)	Prec@5 78.906 (80.968)
Epoch: [66][5510/14090]	Time 0.737 (0.762)	Data 0.001 (0.002)	Loss 2.0592 (1.8657)	Prec@1 46.875 (51.348)	Prec@5 81.250 (80.968)
Epoch: [66][5520/14090]	Time 0.843 (0.762)	Data 0.001 (0.002)	Loss 1.9003 (1.8656)	Prec@1 46.875 (51.347)	Prec@5 78.906 (80.968)
Epoch: [66][5530/14090]	Time 0.746 (0.762)	Data 0.001 (0.002)	Loss 1.8838 (1.8656)	Prec@1 47.656 (51.344)	Prec@5 79.688 (80.970)
Epoch: [66][5540/14090]	Time 0.725 (0.762)	Data 0.001 (0.002)	Loss 1.8702 (1.8657)	Prec@1 50.781 (51.342)	Prec@5 78.906 (80.968)
Epoch: [66][5550/14090]	Time 0.755 (0.762)	Data 0.001 (0.002)	Loss 1.7114 (1.8655)	Prec@1 53.906 (51.346)	Prec@5 88.281 (80.971)
Epoch: [66][5560/14090]	Time 0.764 (0.762)	Data 0.001 (0.002)	Loss 1.7472 (1.8654)	Prec@1 53.906 (51.348)	Prec@5 85.938 (80.975)
Epoch: [66][5570/14090]	Time 0.752 (0.762)	Data 0.001 (0.002)	Loss 2.1040 (1.8655)	Prec@1 45.312 (51.343)	Prec@5 75.000 (80.973)
Epoch: [66][5580/14090]	Time 0.724 (0.762)	Data 0.001 (0.002)	Loss 1.7506 (1.8653)	Prec@1 57.031 (51.349)	Prec@5 82.031 (80.975)
Epoch: [66][5590/14090]	Time 0.895 (0.762)	Data 0.001 (0.002)	Loss 1.6105 (1.8653)	Prec@1 60.156 (51.352)	Prec@5 82.812 (80.976)
Epoch: [66][5600/14090]	Time 0.731 (0.762)	Data 0.001 (0.002)	Loss 1.7206 (1.8653)	Prec@1 56.250 (51.355)	Prec@5 79.688 (80.975)
Epoch: [66][5610/14090]	Time 0.731 (0.762)	Data 0.001 (0.002)	Loss 1.8016 (1.8653)	Prec@1 53.906 (51.353)	Prec@5 84.375 (80.977)
Epoch: [66][5620/14090]	Time 0.741 (0.762)	Data 0.001 (0.002)	Loss 1.6427 (1.8652)	Prec@1 57.031 (51.356)	Prec@5 81.250 (80.978)
Epoch: [66][5630/14090]	Time 0.738 (0.762)	Data 0.001 (0.002)	Loss 1.8021 (1.8653)	Prec@1 50.000 (51.352)	Prec@5 79.688 (80.977)
Epoch: [66][5640/14090]	Time 0.751 (0.762)	Data 0.001 (0.002)	Loss 1.9875 (1.8654)	Prec@1 50.000 (51.349)	Prec@5 83.594 (80.976)
Epoch: [66][5650/14090]	Time 0.750 (0.762)	Data 0.001 (0.002)	Loss 1.8562 (1.8654)	Prec@1 54.688 (51.347)	Prec@5 83.594 (80.975)
Epoch: [66][5660/14090]	Time 0.857 (0.762)	Data 0.001 (0.002)	Loss 2.0393 (1.8654)	Prec@1 50.000 (51.346)	Prec@5 75.781 (80.974)
Epoch: [66][5670/14090]	Time 0.736 (0.762)	Data 0.001 (0.002)	Loss 2.0589 (1.8656)	Prec@1 47.656 (51.342)	Prec@5 71.094 (80.971)
Epoch: [66][5680/14090]	Time 0.753 (0.762)	Data 0.001 (0.002)	Loss 2.0136 (1.8657)	Prec@1 47.656 (51.342)	Prec@5 78.906 (80.968)
Epoch: [66][5690/14090]	Time 0.744 (0.762)	Data 0.001 (0.002)	Loss 1.7353 (1.8657)	Prec@1 57.812 (51.340)	Prec@5 84.375 (80.967)
Epoch: [66][5700/14090]	Time 0.730 (0.762)	Data 0.001 (0.002)	Loss 2.0067 (1.8656)	Prec@1 48.438 (51.343)	Prec@5 78.125 (80.969)
Epoch: [66][5710/14090]	Time 0.726 (0.762)	Data 0.001 (0.002)	Loss 1.7444 (1.8657)	Prec@1 56.250 (51.340)	Prec@5 79.688 (80.965)
Epoch: [66][5720/14090]	Time 0.746 (0.762)	Data 0.001 (0.002)	Loss 1.4102 (1.8657)	Prec@1 62.500 (51.343)	Prec@5 87.500 (80.966)
Epoch: [66][5730/14090]	Time 0.873 (0.762)	Data 0.001 (0.002)	Loss 1.8546 (1.8658)	Prec@1 51.562 (51.338)	Prec@5 80.469 (80.964)
Epoch: [66][5740/14090]	Time 0.732 (0.762)	Data 0.001 (0.002)	Loss 1.8202 (1.8658)	Prec@1 51.562 (51.340)	Prec@5 84.375 (80.965)
Epoch: [66][5750/14090]	Time 0.748 (0.762)	Data 0.001 (0.002)	Loss 1.7143 (1.8656)	Prec@1 50.781 (51.343)	Prec@5 84.375 (80.968)
Epoch: [66][5760/14090]	Time 0.726 (0.762)	Data 0.001 (0.002)	Loss 1.8119 (1.8656)	Prec@1 51.562 (51.343)	Prec@5 85.938 (80.968)
Epoch: [66][5770/14090]	Time 0.722 (0.762)	Data 0.001 (0.002)	Loss 1.8859 (1.8655)	Prec@1 46.875 (51.342)	Prec@5 82.812 (80.968)
Epoch: [66][5780/14090]	Time 0.723 (0.762)	Data 0.001 (0.002)	Loss 2.2122 (1.8656)	Prec@1 50.000 (51.342)	Prec@5 76.562 (80.966)
Epoch: [66][5790/14090]	Time 0.757 (0.762)	Data 0.001 (0.002)	Loss 1.7797 (1.8655)	Prec@1 53.125 (51.341)	Prec@5 79.688 (80.968)
Epoch: [66][5800/14090]	Time 0.839 (0.762)	Data 0.001 (0.002)	Loss 1.6678 (1.8655)	Prec@1 51.562 (51.344)	Prec@5 84.375 (80.969)
Epoch: [66][5810/14090]	Time 0.740 (0.762)	Data 0.001 (0.002)	Loss 1.5306 (1.8655)	Prec@1 62.500 (51.340)	Prec@5 91.406 (80.971)
Epoch: [66][5820/14090]	Time 0.733 (0.762)	Data 0.001 (0.002)	Loss 1.9432 (1.8656)	Prec@1 54.688 (51.338)	Prec@5 84.375 (80.970)
Epoch: [66][5830/14090]	Time 0.732 (0.762)	Data 0.001 (0.002)	Loss 1.7642 (1.8656)	Prec@1 54.688 (51.337)	Prec@5 82.812 (80.972)
Epoch: [66][5840/14090]	Time 0.750 (0.762)	Data 0.001 (0.002)	Loss 2.1180 (1.8655)	Prec@1 47.656 (51.338)	Prec@5 74.219 (80.972)
Epoch: [66][5850/14090]	Time 0.736 (0.762)	Data 0.001 (0.002)	Loss 1.9186 (1.8656)	Prec@1 53.125 (51.342)	Prec@5 81.250 (80.973)
Epoch: [66][5860/14090]	Time 0.719 (0.762)	Data 0.001 (0.002)	Loss 1.7146 (1.8656)	Prec@1 50.000 (51.341)	Prec@5 84.375 (80.972)
Epoch: [66][5870/14090]	Time 0.849 (0.762)	Data 0.001 (0.002)	Loss 2.0421 (1.8657)	Prec@1 47.656 (51.337)	Prec@5 76.562 (80.973)
Epoch: [66][5880/14090]	Time 0.728 (0.762)	Data 0.001 (0.002)	Loss 1.6711 (1.8656)	Prec@1 56.250 (51.337)	Prec@5 84.375 (80.973)
Epoch: [66][5890/14090]	Time 0.748 (0.762)	Data 0.001 (0.002)	Loss 1.8455 (1.8657)	Prec@1 54.688 (51.337)	Prec@5 77.344 (80.973)
Epoch: [66][5900/14090]	Time 0.783 (0.762)	Data 0.001 (0.002)	Loss 1.7063 (1.8655)	Prec@1 56.250 (51.340)	Prec@5 82.031 (80.973)
Epoch: [66][5910/14090]	Time 0.768 (0.762)	Data 0.001 (0.002)	Loss 1.8713 (1.8654)	Prec@1 51.562 (51.344)	Prec@5 84.375 (80.977)
Epoch: [66][5920/14090]	Time 0.741 (0.762)	Data 0.001 (0.002)	Loss 2.1557 (1.8653)	Prec@1 47.656 (51.348)	Prec@5 75.781 (80.977)
Epoch: [66][5930/14090]	Time 0.734 (0.762)	Data 0.001 (0.002)	Loss 1.6841 (1.8652)	Prec@1 56.250 (51.351)	Prec@5 81.250 (80.979)
Epoch: [66][5940/14090]	Time 0.884 (0.762)	Data 0.001 (0.002)	Loss 2.0218 (1.8652)	Prec@1 51.562 (51.354)	Prec@5 75.000 (80.979)
Epoch: [66][5950/14090]	Time 0.737 (0.762)	Data 0.001 (0.002)	Loss 1.7988 (1.8653)	Prec@1 53.906 (51.351)	Prec@5 81.250 (80.975)
Epoch: [66][5960/14090]	Time 0.735 (0.762)	Data 0.001 (0.002)	Loss 2.0954 (1.8655)	Prec@1 50.000 (51.347)	Prec@5 75.000 (80.971)
Epoch: [66][5970/14090]	Time 0.730 (0.762)	Data 0.001 (0.002)	Loss 1.8519 (1.8654)	Prec@1 51.562 (51.349)	Prec@5 81.250 (80.972)
Epoch: [66][5980/14090]	Time 0.728 (0.762)	Data 0.001 (0.002)	Loss 1.8286 (1.8654)	Prec@1 54.688 (51.352)	Prec@5 79.688 (80.972)
Epoch: [66][5990/14090]	Time 0.750 (0.762)	Data 0.001 (0.002)	Loss 2.1967 (1.8655)	Prec@1 45.312 (51.348)	Prec@5 75.781 (80.970)
Epoch: [66][6000/14090]	Time 0.773 (0.762)	Data 0.001 (0.002)	Loss 1.8871 (1.8656)	Prec@1 53.125 (51.347)	Prec@5 82.812 (80.969)
Epoch: [66][6010/14090]	Time 0.869 (0.762)	Data 0.001 (0.002)	Loss 1.8097 (1.8658)	Prec@1 49.219 (51.344)	Prec@5 80.469 (80.966)
Epoch: [66][6020/14090]	Time 0.746 (0.762)	Data 0.001 (0.002)	Loss 1.8333 (1.8659)	Prec@1 51.562 (51.341)	Prec@5 81.250 (80.964)
Epoch: [66][6030/14090]	Time 0.747 (0.762)	Data 0.001 (0.002)	Loss 1.8219 (1.8658)	Prec@1 50.781 (51.343)	Prec@5 79.688 (80.967)
Epoch: [66][6040/14090]	Time 0.755 (0.762)	Data 0.001 (0.002)	Loss 1.9860 (1.8658)	Prec@1 52.344 (51.343)	Prec@5 78.125 (80.969)
Epoch: [66][6050/14090]	Time 0.739 (0.762)	Data 0.001 (0.002)	Loss 1.6688 (1.8658)	Prec@1 54.688 (51.341)	Prec@5 82.812 (80.965)
Epoch: [66][6060/14090]	Time 0.726 (0.762)	Data 0.001 (0.002)	Loss 1.5123 (1.8658)	Prec@1 59.375 (51.341)	Prec@5 89.062 (80.967)
Epoch: [66][6070/14090]	Time 0.736 (0.762)	Data 0.001 (0.002)	Loss 1.8775 (1.8657)	Prec@1 47.656 (51.342)	Prec@5 78.125 (80.967)
Epoch: [66][6080/14090]	Time 0.860 (0.762)	Data 0.001 (0.002)	Loss 1.7351 (1.8658)	Prec@1 57.812 (51.339)	Prec@5 83.594 (80.967)
Epoch: [66][6090/14090]	Time 0.717 (0.762)	Data 0.001 (0.002)	Loss 1.9632 (1.8658)	Prec@1 49.219 (51.339)	Prec@5 78.125 (80.968)
Epoch: [66][6100/14090]	Time 0.744 (0.762)	Data 0.001 (0.002)	Loss 1.6221 (1.8658)	Prec@1 58.594 (51.335)	Prec@5 81.250 (80.965)
Epoch: [66][6110/14090]	Time 0.727 (0.762)	Data 0.001 (0.002)	Loss 1.8237 (1.8658)	Prec@1 52.344 (51.334)	Prec@5 82.812 (80.965)
Epoch: [66][6120/14090]	Time 0.728 (0.762)	Data 0.001 (0.002)	Loss 1.6110 (1.8656)	Prec@1 58.594 (51.336)	Prec@5 85.938 (80.967)
Epoch: [66][6130/14090]	Time 0.751 (0.762)	Data 0.001 (0.002)	Loss 1.9849 (1.8656)	Prec@1 51.562 (51.338)	Prec@5 76.562 (80.968)
Epoch: [66][6140/14090]	Time 0.778 (0.762)	Data 0.001 (0.002)	Loss 1.8393 (1.8656)	Prec@1 53.125 (51.337)	Prec@5 79.688 (80.967)
Epoch: [66][6150/14090]	Time 0.862 (0.762)	Data 0.001 (0.002)	Loss 1.7390 (1.8657)	Prec@1 56.250 (51.333)	Prec@5 84.375 (80.967)
Epoch: [66][6160/14090]	Time 0.731 (0.762)	Data 0.001 (0.002)	Loss 1.6567 (1.8657)	Prec@1 55.469 (51.333)	Prec@5 85.156 (80.966)
Epoch: [66][6170/14090]	Time 0.780 (0.762)	Data 0.001 (0.002)	Loss 1.9979 (1.8657)	Prec@1 50.000 (51.331)	Prec@5 78.125 (80.966)
Epoch: [66][6180/14090]	Time 0.738 (0.762)	Data 0.001 (0.002)	Loss 1.7863 (1.8657)	Prec@1 51.562 (51.331)	Prec@5 79.688 (80.966)
Epoch: [66][6190/14090]	Time 0.751 (0.762)	Data 0.001 (0.002)	Loss 1.5933 (1.8655)	Prec@1 57.031 (51.335)	Prec@5 87.500 (80.970)
Epoch: [66][6200/14090]	Time 0.755 (0.762)	Data 0.001 (0.002)	Loss 2.0821 (1.8656)	Prec@1 50.000 (51.334)	Prec@5 80.469 (80.969)
Epoch: [66][6210/14090]	Time 0.746 (0.762)	Data 0.001 (0.002)	Loss 1.9881 (1.8656)	Prec@1 50.000 (51.336)	Prec@5 77.344 (80.967)
Epoch: [66][6220/14090]	Time 0.860 (0.762)	Data 0.001 (0.002)	Loss 1.9261 (1.8656)	Prec@1 44.531 (51.337)	Prec@5 78.125 (80.968)
Epoch: [66][6230/14090]	Time 0.726 (0.762)	Data 0.001 (0.002)	Loss 2.0292 (1.8657)	Prec@1 46.094 (51.338)	Prec@5 74.219 (80.964)
Epoch: [66][6240/14090]	Time 0.737 (0.762)	Data 0.001 (0.002)	Loss 1.8235 (1.8657)	Prec@1 53.906 (51.341)	Prec@5 80.469 (80.964)
Epoch: [66][6250/14090]	Time 0.742 (0.762)	Data 0.001 (0.002)	Loss 1.8732 (1.8657)	Prec@1 49.219 (51.340)	Prec@5 81.250 (80.965)
Epoch: [66][6260/14090]	Time 0.726 (0.762)	Data 0.001 (0.002)	Loss 1.7149 (1.8656)	Prec@1 50.000 (51.340)	Prec@5 83.594 (80.966)
Epoch: [66][6270/14090]	Time 0.728 (0.762)	Data 0.001 (0.002)	Loss 1.7126 (1.8656)	Prec@1 53.906 (51.336)	Prec@5 82.812 (80.967)
Epoch: [66][6280/14090]	Time 0.747 (0.762)	Data 0.001 (0.002)	Loss 2.1271 (1.8656)	Prec@1 46.094 (51.336)	Prec@5 76.562 (80.966)
Epoch: [66][6290/14090]	Time 0.893 (0.762)	Data 0.001 (0.002)	Loss 2.0394 (1.8656)	Prec@1 46.094 (51.335)	Prec@5 76.562 (80.966)
Epoch: [66][6300/14090]	Time 0.733 (0.762)	Data 0.001 (0.002)	Loss 1.8357 (1.8656)	Prec@1 52.344 (51.336)	Prec@5 77.344 (80.966)
Epoch: [66][6310/14090]	Time 0.757 (0.762)	Data 0.001 (0.002)	Loss 1.8651 (1.8656)	Prec@1 54.688 (51.337)	Prec@5 79.688 (80.965)
Epoch: [66][6320/14090]	Time 0.737 (0.762)	Data 0.001 (0.002)	Loss 2.1361 (1.8656)	Prec@1 42.188 (51.334)	Prec@5 75.781 (80.967)
Epoch: [66][6330/14090]	Time 0.733 (0.762)	Data 0.001 (0.002)	Loss 1.8259 (1.8657)	Prec@1 48.438 (51.330)	Prec@5 83.594 (80.964)
Epoch: [66][6340/14090]	Time 0.767 (0.762)	Data 0.001 (0.002)	Loss 1.9111 (1.8657)	Prec@1 43.750 (51.328)	Prec@5 81.250 (80.964)
Epoch: [66][6350/14090]	Time 0.770 (0.762)	Data 0.001 (0.002)	Loss 1.9495 (1.8658)	Prec@1 49.219 (51.325)	Prec@5 78.906 (80.963)
Epoch: [66][6360/14090]	Time 0.846 (0.762)	Data 0.001 (0.002)	Loss 1.6084 (1.8658)	Prec@1 60.156 (51.326)	Prec@5 81.250 (80.963)
Epoch: [66][6370/14090]	Time 0.770 (0.762)	Data 0.001 (0.002)	Loss 2.2640 (1.8658)	Prec@1 46.875 (51.325)	Prec@5 71.875 (80.961)
Epoch: [66][6380/14090]	Time 0.746 (0.762)	Data 0.001 (0.002)	Loss 1.9470 (1.8658)	Prec@1 49.219 (51.323)	Prec@5 81.250 (80.963)
Epoch: [66][6390/14090]	Time 0.747 (0.762)	Data 0.001 (0.002)	Loss 2.0049 (1.8658)	Prec@1 49.219 (51.321)	Prec@5 77.344 (80.962)
Epoch: [66][6400/14090]	Time 0.737 (0.762)	Data 0.001 (0.002)	Loss 2.1223 (1.8659)	Prec@1 46.875 (51.321)	Prec@5 73.438 (80.962)
Epoch: [66][6410/14090]	Time 0.758 (0.762)	Data 0.001 (0.002)	Loss 2.0099 (1.8658)	Prec@1 46.094 (51.321)	Prec@5 82.031 (80.962)
Epoch: [66][6420/14090]	Time 0.745 (0.762)	Data 0.001 (0.002)	Loss 2.2410 (1.8658)	Prec@1 47.656 (51.324)	Prec@5 71.094 (80.963)
Epoch: [66][6430/14090]	Time 0.877 (0.762)	Data 0.001 (0.002)	Loss 1.8877 (1.8658)	Prec@1 50.781 (51.326)	Prec@5 81.250 (80.965)
Epoch: [66][6440/14090]	Time 0.733 (0.762)	Data 0.001 (0.002)	Loss 1.8746 (1.8658)	Prec@1 48.438 (51.325)	Prec@5 82.031 (80.964)
Epoch: [66][6450/14090]	Time 0.740 (0.762)	Data 0.001 (0.002)	Loss 1.8448 (1.8659)	Prec@1 50.781 (51.324)	Prec@5 79.688 (80.962)
Epoch: [66][6460/14090]	Time 0.750 (0.762)	Data 0.001 (0.002)	Loss 1.7028 (1.8659)	Prec@1 54.688 (51.324)	Prec@5 81.250 (80.962)
Epoch: [66][6470/14090]	Time 0.739 (0.762)	Data 0.001 (0.002)	Loss 1.9440 (1.8659)	Prec@1 51.562 (51.323)	Prec@5 81.250 (80.960)
Epoch: [66][6480/14090]	Time 0.752 (0.762)	Data 0.001 (0.002)	Loss 1.6873 (1.8659)	Prec@1 58.594 (51.323)	Prec@5 82.812 (80.958)
Epoch: [66][6490/14090]	Time 0.742 (0.762)	Data 0.001 (0.002)	Loss 1.9502 (1.8660)	Prec@1 52.344 (51.322)	Prec@5 73.438 (80.956)
Epoch: [66][6500/14090]	Time 0.906 (0.762)	Data 0.001 (0.002)	Loss 1.9058 (1.8659)	Prec@1 46.094 (51.326)	Prec@5 78.125 (80.958)
Epoch: [66][6510/14090]	Time 0.742 (0.762)	Data 0.001 (0.002)	Loss 1.7896 (1.8659)	Prec@1 52.344 (51.326)	Prec@5 78.906 (80.956)
Epoch: [66][6520/14090]	Time 0.743 (0.762)	Data 0.001 (0.002)	Loss 1.9147 (1.8659)	Prec@1 48.438 (51.327)	Prec@5 82.031 (80.956)
Epoch: [66][6530/14090]	Time 0.723 (0.762)	Data 0.001 (0.002)	Loss 1.5228 (1.8659)	Prec@1 55.469 (51.329)	Prec@5 90.625 (80.956)
Epoch: [66][6540/14090]	Time 0.769 (0.762)	Data 0.001 (0.002)	Loss 1.5793 (1.8660)	Prec@1 60.938 (51.330)	Prec@5 86.719 (80.956)
Epoch: [66][6550/14090]	Time 0.732 (0.762)	Data 0.001 (0.002)	Loss 1.9139 (1.8659)	Prec@1 47.656 (51.330)	Prec@5 83.594 (80.959)
Epoch: [66][6560/14090]	Time 0.721 (0.762)	Data 0.001 (0.002)	Loss 1.8037 (1.8659)	Prec@1 52.344 (51.329)	Prec@5 82.031 (80.957)
Epoch: [66][6570/14090]	Time 0.882 (0.762)	Data 0.001 (0.002)	Loss 2.0717 (1.8660)	Prec@1 50.000 (51.331)	Prec@5 77.344 (80.955)
Epoch: [66][6580/14090]	Time 0.737 (0.762)	Data 0.001 (0.002)	Loss 1.7193 (1.8660)	Prec@1 56.250 (51.332)	Prec@5 85.156 (80.955)
Epoch: [66][6590/14090]	Time 0.726 (0.762)	Data 0.001 (0.002)	Loss 2.0657 (1.8660)	Prec@1 48.438 (51.331)	Prec@5 77.344 (80.956)
Epoch: [66][6600/14090]	Time 0.721 (0.762)	Data 0.001 (0.002)	Loss 1.7084 (1.8661)	Prec@1 55.469 (51.329)	Prec@5 82.031 (80.953)
Epoch: [66][6610/14090]	Time 0.729 (0.762)	Data 0.001 (0.002)	Loss 1.6767 (1.8660)	Prec@1 56.250 (51.327)	Prec@5 84.375 (80.955)
Epoch: [66][6620/14090]	Time 0.753 (0.762)	Data 0.001 (0.002)	Loss 1.9215 (1.8660)	Prec@1 51.562 (51.329)	Prec@5 82.031 (80.955)
Epoch: [66][6630/14090]	Time 0.739 (0.762)	Data 0.001 (0.002)	Loss 1.8620 (1.8660)	Prec@1 43.750 (51.327)	Prec@5 85.156 (80.956)
Epoch: [66][6640/14090]	Time 0.865 (0.762)	Data 0.001 (0.002)	Loss 1.6744 (1.8661)	Prec@1 59.375 (51.326)	Prec@5 82.031 (80.955)
Epoch: [66][6650/14090]	Time 0.770 (0.762)	Data 0.001 (0.002)	Loss 2.1088 (1.8661)	Prec@1 42.969 (51.327)	Prec@5 81.250 (80.955)
Epoch: [66][6660/14090]	Time 0.753 (0.762)	Data 0.001 (0.002)	Loss 1.9929 (1.8661)	Prec@1 48.438 (51.327)	Prec@5 80.469 (80.955)
Epoch: [66][6670/14090]	Time 0.785 (0.762)	Data 0.001 (0.002)	Loss 1.8225 (1.8661)	Prec@1 52.344 (51.327)	Prec@5 83.594 (80.955)
Epoch: [66][6680/14090]	Time 0.754 (0.762)	Data 0.001 (0.002)	Loss 1.8915 (1.8662)	Prec@1 46.875 (51.326)	Prec@5 80.469 (80.952)
Epoch: [66][6690/14090]	Time 0.748 (0.762)	Data 0.001 (0.002)	Loss 1.9663 (1.8662)	Prec@1 51.562 (51.326)	Prec@5 81.250 (80.952)
Epoch: [66][6700/14090]	Time 0.727 (0.762)	Data 0.001 (0.002)	Loss 1.8511 (1.8662)	Prec@1 46.875 (51.324)	Prec@5 79.688 (80.953)
Epoch: [66][6710/14090]	Time 0.859 (0.762)	Data 0.001 (0.002)	Loss 1.8076 (1.8661)	Prec@1 53.906 (51.329)	Prec@5 82.031 (80.954)
Epoch: [66][6720/14090]	Time 0.727 (0.762)	Data 0.001 (0.002)	Loss 1.6864 (1.8660)	Prec@1 57.031 (51.331)	Prec@5 85.156 (80.952)
Epoch: [66][6730/14090]	Time 0.726 (0.762)	Data 0.001 (0.002)	Loss 1.9503 (1.8661)	Prec@1 50.781 (51.329)	Prec@5 81.250 (80.950)
Epoch: [66][6740/14090]	Time 0.758 (0.762)	Data 0.001 (0.002)	Loss 1.8926 (1.8661)	Prec@1 51.562 (51.328)	Prec@5 83.594 (80.950)
Epoch: [66][6750/14090]	Time 0.722 (0.762)	Data 0.001 (0.002)	Loss 2.1321 (1.8661)	Prec@1 45.312 (51.327)	Prec@5 75.000 (80.950)
Epoch: [66][6760/14090]	Time 0.739 (0.762)	Data 0.001 (0.002)	Loss 1.8978 (1.8661)	Prec@1 47.656 (51.330)	Prec@5 82.031 (80.952)
Epoch: [66][6770/14090]	Time 0.768 (0.762)	Data 0.001 (0.002)	Loss 1.9684 (1.8661)	Prec@1 50.781 (51.331)	Prec@5 79.688 (80.950)
Epoch: [66][6780/14090]	Time 0.865 (0.762)	Data 0.001 (0.002)	Loss 2.1314 (1.8661)	Prec@1 43.750 (51.330)	Prec@5 78.906 (80.950)
Epoch: [66][6790/14090]	Time 0.735 (0.762)	Data 0.001 (0.002)	Loss 1.7761 (1.8661)	Prec@1 50.781 (51.329)	Prec@5 80.469 (80.950)
Epoch: [66][6800/14090]	Time 0.742 (0.762)	Data 0.001 (0.002)	Loss 2.0326 (1.8660)	Prec@1 49.219 (51.329)	Prec@5 76.562 (80.952)
Epoch: [66][6810/14090]	Time 0.744 (0.762)	Data 0.001 (0.002)	Loss 1.9157 (1.8659)	Prec@1 49.219 (51.330)	Prec@5 83.594 (80.953)
Epoch: [66][6820/14090]	Time 0.735 (0.762)	Data 0.001 (0.002)	Loss 1.9700 (1.8658)	Prec@1 49.219 (51.332)	Prec@5 82.812 (80.956)
Epoch: [66][6830/14090]	Time 0.758 (0.762)	Data 0.001 (0.002)	Loss 1.8888 (1.8659)	Prec@1 53.906 (51.331)	Prec@5 78.906 (80.955)
Epoch: [66][6840/14090]	Time 0.751 (0.762)	Data 0.001 (0.002)	Loss 1.9392 (1.8659)	Prec@1 51.562 (51.331)	Prec@5 82.031 (80.953)
Epoch: [66][6850/14090]	Time 0.855 (0.762)	Data 0.001 (0.002)	Loss 1.8853 (1.8659)	Prec@1 51.562 (51.332)	Prec@5 79.688 (80.955)
Epoch: [66][6860/14090]	Time 0.754 (0.762)	Data 0.001 (0.002)	Loss 2.0505 (1.8660)	Prec@1 46.875 (51.330)	Prec@5 79.688 (80.953)
Epoch: [66][6870/14090]	Time 0.742 (0.762)	Data 0.001 (0.002)	Loss 1.8231 (1.8659)	Prec@1 57.812 (51.329)	Prec@5 82.031 (80.955)
Epoch: [66][6880/14090]	Time 0.757 (0.762)	Data 0.001 (0.002)	Loss 1.7556 (1.8659)	Prec@1 50.781 (51.332)	Prec@5 86.719 (80.955)
Epoch: [66][6890/14090]	Time 0.717 (0.762)	Data 0.001 (0.002)	Loss 2.1015 (1.8658)	Prec@1 46.875 (51.336)	Prec@5 76.562 (80.954)
Epoch: [66][6900/14090]	Time 0.751 (0.762)	Data 0.001 (0.002)	Loss 1.6767 (1.8658)	Prec@1 52.344 (51.336)	Prec@5 80.469 (80.955)
Epoch: [66][6910/14090]	Time 0.728 (0.762)	Data 0.001 (0.002)	Loss 1.8803 (1.8658)	Prec@1 50.000 (51.333)	Prec@5 77.344 (80.954)
Epoch: [66][6920/14090]	Time 0.876 (0.762)	Data 0.001 (0.002)	Loss 1.7548 (1.8657)	Prec@1 49.219 (51.335)	Prec@5 85.156 (80.954)
Epoch: [66][6930/14090]	Time 0.740 (0.762)	Data 0.001 (0.002)	Loss 2.1100 (1.8658)	Prec@1 44.531 (51.335)	Prec@5 76.562 (80.956)
Epoch: [66][6940/14090]	Time 0.741 (0.762)	Data 0.001 (0.002)	Loss 2.0071 (1.8657)	Prec@1 46.875 (51.333)	Prec@5 78.906 (80.956)
Epoch: [66][6950/14090]	Time 0.744 (0.762)	Data 0.001 (0.002)	Loss 1.5322 (1.8657)	Prec@1 61.719 (51.332)	Prec@5 82.031 (80.957)
Epoch: [66][6960/14090]	Time 0.748 (0.762)	Data 0.001 (0.002)	Loss 1.8914 (1.8658)	Prec@1 44.531 (51.330)	Prec@5 82.812 (80.956)
Epoch: [66][6970/14090]	Time 0.754 (0.762)	Data 0.001 (0.002)	Loss 1.7042 (1.8659)	Prec@1 54.688 (51.329)	Prec@5 85.938 (80.956)
Epoch: [66][6980/14090]	Time 0.743 (0.762)	Data 0.001 (0.002)	Loss 1.8183 (1.8658)	Prec@1 53.906 (51.332)	Prec@5 84.375 (80.957)
Epoch: [66][6990/14090]	Time 0.867 (0.762)	Data 0.001 (0.002)	Loss 1.7256 (1.8658)	Prec@1 57.812 (51.332)	Prec@5 81.250 (80.957)
Epoch: [66][7000/14090]	Time 0.739 (0.762)	Data 0.001 (0.002)	Loss 1.8020 (1.8659)	Prec@1 54.688 (51.331)	Prec@5 85.156 (80.956)
Epoch: [66][7010/14090]	Time 0.722 (0.762)	Data 0.001 (0.002)	Loss 1.7524 (1.8660)	Prec@1 55.469 (51.330)	Prec@5 85.156 (80.955)
Epoch: [66][7020/14090]	Time 0.734 (0.762)	Data 0.001 (0.002)	Loss 2.0077 (1.8661)	Prec@1 46.094 (51.328)	Prec@5 80.469 (80.954)
Epoch: [66][7030/14090]	Time 0.736 (0.762)	Data 0.001 (0.002)	Loss 1.7972 (1.8660)	Prec@1 48.438 (51.333)	Prec@5 84.375 (80.956)
Epoch: [66][7040/14090]	Time 0.726 (0.762)	Data 0.001 (0.002)	Loss 1.6582 (1.8660)	Prec@1 51.562 (51.333)	Prec@5 82.812 (80.955)
Epoch: [66][7050/14090]	Time 0.741 (0.762)	Data 0.001 (0.002)	Loss 1.9072 (1.8660)	Prec@1 52.344 (51.335)	Prec@5 79.688 (80.957)
Epoch: [66][7060/14090]	Time 0.844 (0.762)	Data 0.001 (0.002)	Loss 1.7139 (1.8660)	Prec@1 55.469 (51.334)	Prec@5 80.469 (80.954)
Epoch: [66][7070/14090]	Time 0.784 (0.762)	Data 0.001 (0.002)	Loss 2.1236 (1.8660)	Prec@1 45.312 (51.331)	Prec@5 78.906 (80.955)
Epoch: [66][7080/14090]	Time 0.732 (0.762)	Data 0.001 (0.002)	Loss 1.8187 (1.8660)	Prec@1 51.562 (51.329)	Prec@5 84.375 (80.956)
Epoch: [66][7090/14090]	Time 0.760 (0.762)	Data 0.003 (0.002)	Loss 1.7908 (1.8660)	Prec@1 53.906 (51.328)	Prec@5 81.250 (80.957)
Epoch: [66][7100/14090]	Time 0.727 (0.762)	Data 0.001 (0.002)	Loss 1.8296 (1.8661)	Prec@1 47.656 (51.324)	Prec@5 81.250 (80.952)
Epoch: [66][7110/14090]	Time 0.733 (0.762)	Data 0.001 (0.002)	Loss 1.8074 (1.8662)	Prec@1 57.812 (51.325)	Prec@5 80.469 (80.950)
Epoch: [66][7120/14090]	Time 0.756 (0.762)	Data 0.001 (0.002)	Loss 1.8916 (1.8661)	Prec@1 44.531 (51.325)	Prec@5 83.594 (80.952)
Epoch: [66][7130/14090]	Time 0.848 (0.762)	Data 0.001 (0.002)	Loss 1.6410 (1.8661)	Prec@1 58.594 (51.327)	Prec@5 85.156 (80.954)
Epoch: [66][7140/14090]	Time 0.741 (0.762)	Data 0.001 (0.002)	Loss 1.7987 (1.8661)	Prec@1 54.688 (51.328)	Prec@5 82.031 (80.954)
Epoch: [66][7150/14090]	Time 0.746 (0.762)	Data 0.001 (0.002)	Loss 2.0615 (1.8661)	Prec@1 48.438 (51.324)	Prec@5 78.906 (80.954)
Epoch: [66][7160/14090]	Time 0.752 (0.762)	Data 0.001 (0.002)	Loss 1.9878 (1.8661)	Prec@1 51.562 (51.325)	Prec@5 78.125 (80.954)
Epoch: [66][7170/14090]	Time 0.735 (0.762)	Data 0.001 (0.002)	Loss 1.7236 (1.8660)	Prec@1 57.812 (51.327)	Prec@5 81.250 (80.955)
Epoch: [66][7180/14090]	Time 0.766 (0.762)	Data 0.001 (0.002)	Loss 1.8892 (1.8661)	Prec@1 54.688 (51.327)	Prec@5 78.906 (80.955)
Epoch: [66][7190/14090]	Time 0.779 (0.762)	Data 0.001 (0.002)	Loss 2.0956 (1.8661)	Prec@1 47.656 (51.325)	Prec@5 77.344 (80.954)
Epoch: [66][7200/14090]	Time 0.853 (0.762)	Data 0.001 (0.002)	Loss 1.9404 (1.8661)	Prec@1 50.000 (51.325)	Prec@5 78.906 (80.954)
Epoch: [66][7210/14090]	Time 0.735 (0.762)	Data 0.001 (0.002)	Loss 2.2491 (1.8660)	Prec@1 44.531 (51.328)	Prec@5 75.000 (80.954)
Epoch: [66][7220/14090]	Time 0.730 (0.762)	Data 0.001 (0.002)	Loss 2.0028 (1.8661)	Prec@1 50.000 (51.327)	Prec@5 78.906 (80.953)
Epoch: [66][7230/14090]	Time 0.738 (0.762)	Data 0.001 (0.002)	Loss 1.8403 (1.8663)	Prec@1 53.125 (51.325)	Prec@5 82.812 (80.949)
Epoch: [66][7240/14090]	Time 0.740 (0.762)	Data 0.001 (0.002)	Loss 1.6146 (1.8662)	Prec@1 60.156 (51.329)	Prec@5 81.250 (80.950)
Epoch: [66][7250/14090]	Time 0.757 (0.762)	Data 0.001 (0.002)	Loss 1.9308 (1.8663)	Prec@1 48.438 (51.327)	Prec@5 80.469 (80.949)
Epoch: [66][7260/14090]	Time 0.741 (0.762)	Data 0.001 (0.002)	Loss 1.9917 (1.8663)	Prec@1 46.875 (51.327)	Prec@5 79.688 (80.950)
Epoch: [66][7270/14090]	Time 0.863 (0.762)	Data 0.001 (0.002)	Loss 1.6223 (1.8663)	Prec@1 61.719 (51.329)	Prec@5 85.156 (80.949)
Epoch: [66][7280/14090]	Time 0.742 (0.762)	Data 0.001 (0.002)	Loss 2.0120 (1.8664)	Prec@1 49.219 (51.328)	Prec@5 78.906 (80.947)
Epoch: [66][7290/14090]	Time 0.740 (0.762)	Data 0.001 (0.002)	Loss 1.9023 (1.8665)	Prec@1 51.562 (51.329)	Prec@5 82.031 (80.947)
Epoch: [66][7300/14090]	Time 0.729 (0.762)	Data 0.001 (0.002)	Loss 2.0396 (1.8666)	Prec@1 50.781 (51.326)	Prec@5 78.906 (80.945)
Epoch: [66][7310/14090]	Time 0.776 (0.762)	Data 0.001 (0.002)	Loss 1.5440 (1.8666)	Prec@1 64.062 (51.328)	Prec@5 85.938 (80.945)
Epoch: [66][7320/14090]	Time 0.740 (0.762)	Data 0.001 (0.002)	Loss 1.8990 (1.8667)	Prec@1 50.000 (51.329)	Prec@5 83.594 (80.943)
Epoch: [66][7330/14090]	Time 0.732 (0.762)	Data 0.001 (0.002)	Loss 1.7620 (1.8665)	Prec@1 53.125 (51.332)	Prec@5 83.594 (80.945)
Epoch: [66][7340/14090]	Time 0.854 (0.762)	Data 0.001 (0.002)	Loss 1.8986 (1.8665)	Prec@1 52.344 (51.330)	Prec@5 80.469 (80.945)
Epoch: [66][7350/14090]	Time 0.732 (0.762)	Data 0.001 (0.002)	Loss 1.6589 (1.8664)	Prec@1 56.250 (51.335)	Prec@5 85.156 (80.947)
Epoch: [66][7360/14090]	Time 0.729 (0.762)	Data 0.001 (0.002)	Loss 2.0032 (1.8663)	Prec@1 46.094 (51.336)	Prec@5 81.250 (80.948)
Epoch: [66][7370/14090]	Time 0.729 (0.762)	Data 0.001 (0.002)	Loss 2.0174 (1.8663)	Prec@1 45.312 (51.335)	Prec@5 80.469 (80.949)
Epoch: [66][7380/14090]	Time 0.724 (0.762)	Data 0.001 (0.002)	Loss 1.9052 (1.8664)	Prec@1 46.875 (51.336)	Prec@5 79.688 (80.949)
Epoch: [66][7390/14090]	Time 0.732 (0.762)	Data 0.001 (0.002)	Loss 1.9591 (1.8663)	Prec@1 46.094 (51.334)	Prec@5 81.250 (80.949)
Epoch: [66][7400/14090]	Time 0.725 (0.762)	Data 0.001 (0.002)	Loss 1.5682 (1.8663)	Prec@1 50.781 (51.334)	Prec@5 86.719 (80.949)
Epoch: [66][7410/14090]	Time 0.830 (0.762)	Data 0.001 (0.002)	Loss 1.7155 (1.8663)	Prec@1 54.688 (51.334)	Prec@5 77.344 (80.948)
Epoch: [66][7420/14090]	Time 0.750 (0.762)	Data 0.001 (0.002)	Loss 1.9494 (1.8663)	Prec@1 47.656 (51.334)	Prec@5 81.250 (80.947)
Epoch: [66][7430/14090]	Time 0.727 (0.762)	Data 0.001 (0.002)	Loss 1.5512 (1.8663)	Prec@1 64.062 (51.338)	Prec@5 88.281 (80.947)
Epoch: [66][7440/14090]	Time 0.785 (0.762)	Data 0.001 (0.002)	Loss 1.7498 (1.8663)	Prec@1 53.906 (51.338)	Prec@5 81.250 (80.948)
Epoch: [66][7450/14090]	Time 0.729 (0.762)	Data 0.001 (0.002)	Loss 1.8634 (1.8664)	Prec@1 49.219 (51.337)	Prec@5 79.688 (80.946)
Epoch: [66][7460/14090]	Time 0.753 (0.762)	Data 0.001 (0.002)	Loss 1.7118 (1.8664)	Prec@1 54.688 (51.337)	Prec@5 85.156 (80.947)
Epoch: [66][7470/14090]	Time 0.773 (0.762)	Data 0.001 (0.002)	Loss 1.7542 (1.8664)	Prec@1 56.250 (51.338)	Prec@5 85.938 (80.949)
Epoch: [66][7480/14090]	Time 0.885 (0.762)	Data 0.001 (0.002)	Loss 2.2209 (1.8664)	Prec@1 42.188 (51.338)	Prec@5 74.219 (80.949)
Epoch: [66][7490/14090]	Time 0.748 (0.762)	Data 0.001 (0.002)	Loss 1.8258 (1.8665)	Prec@1 54.688 (51.335)	Prec@5 83.594 (80.947)
Epoch: [66][7500/14090]	Time 0.723 (0.762)	Data 0.001 (0.002)	Loss 2.1700 (1.8666)	Prec@1 42.188 (51.333)	Prec@5 79.688 (80.946)
Epoch: [66][7510/14090]	Time 0.779 (0.762)	Data 0.001 (0.002)	Loss 1.8363 (1.8666)	Prec@1 57.031 (51.333)	Prec@5 80.469 (80.946)
Epoch: [66][7520/14090]	Time 0.736 (0.762)	Data 0.001 (0.002)	Loss 2.1433 (1.8667)	Prec@1 44.531 (51.329)	Prec@5 69.531 (80.944)
Epoch: [66][7530/14090]	Time 0.745 (0.762)	Data 0.001 (0.002)	Loss 1.8938 (1.8667)	Prec@1 50.781 (51.329)	Prec@5 83.594 (80.945)
Epoch: [66][7540/14090]	Time 0.770 (0.762)	Data 0.001 (0.002)	Loss 1.9130 (1.8667)	Prec@1 48.438 (51.330)	Prec@5 85.156 (80.946)
Epoch: [66][7550/14090]	Time 0.889 (0.762)	Data 0.001 (0.002)	Loss 1.7490 (1.8666)	Prec@1 53.906 (51.333)	Prec@5 83.594 (80.949)
Epoch: [66][7560/14090]	Time 0.757 (0.762)	Data 0.001 (0.002)	Loss 1.9464 (1.8667)	Prec@1 52.344 (51.331)	Prec@5 82.031 (80.949)
Epoch: [66][7570/14090]	Time 0.752 (0.762)	Data 0.001 (0.002)	Loss 2.1077 (1.8667)	Prec@1 49.219 (51.332)	Prec@5 78.906 (80.950)
Epoch: [66][7580/14090]	Time 0.719 (0.762)	Data 0.001 (0.002)	Loss 1.9737 (1.8667)	Prec@1 53.906 (51.330)	Prec@5 76.562 (80.948)
Epoch: [66][7590/14090]	Time 0.731 (0.762)	Data 0.001 (0.002)	Loss 2.0080 (1.8667)	Prec@1 46.875 (51.328)	Prec@5 79.688 (80.948)
Epoch: [66][7600/14090]	Time 0.759 (0.762)	Data 0.001 (0.002)	Loss 1.7023 (1.8668)	Prec@1 53.125 (51.329)	Prec@5 85.156 (80.947)
Epoch: [66][7610/14090]	Time 0.738 (0.762)	Data 0.001 (0.002)	Loss 1.6684 (1.8669)	Prec@1 52.344 (51.325)	Prec@5 85.156 (80.944)
Epoch: [66][7620/14090]	Time 0.865 (0.762)	Data 0.001 (0.002)	Loss 1.6526 (1.8669)	Prec@1 54.688 (51.325)	Prec@5 85.938 (80.945)
Epoch: [66][7630/14090]	Time 0.763 (0.762)	Data 0.001 (0.002)	Loss 1.7630 (1.8669)	Prec@1 54.688 (51.325)	Prec@5 79.688 (80.945)
Epoch: [66][7640/14090]	Time 0.747 (0.762)	Data 0.001 (0.002)	Loss 1.9504 (1.8668)	Prec@1 57.031 (51.327)	Prec@5 80.469 (80.948)
Epoch: [66][7650/14090]	Time 0.731 (0.762)	Data 0.001 (0.002)	Loss 1.9092 (1.8668)	Prec@1 49.219 (51.326)	Prec@5 80.469 (80.950)
Epoch: [66][7660/14090]	Time 0.742 (0.762)	Data 0.001 (0.002)	Loss 1.8178 (1.8667)	Prec@1 45.312 (51.327)	Prec@5 80.469 (80.952)
Epoch: [66][7670/14090]	Time 0.750 (0.762)	Data 0.001 (0.002)	Loss 1.3793 (1.8667)	Prec@1 60.156 (51.327)	Prec@5 89.062 (80.952)
Epoch: [66][7680/14090]	Time 0.752 (0.762)	Data 0.001 (0.002)	Loss 1.6758 (1.8667)	Prec@1 58.594 (51.326)	Prec@5 84.375 (80.952)
Epoch: [66][7690/14090]	Time 0.866 (0.762)	Data 0.001 (0.002)	Loss 1.7272 (1.8667)	Prec@1 55.469 (51.326)	Prec@5 85.156 (80.953)
Epoch: [66][7700/14090]	Time 0.730 (0.762)	Data 0.001 (0.002)	Loss 1.8893 (1.8668)	Prec@1 43.750 (51.323)	Prec@5 78.906 (80.952)
Epoch: [66][7710/14090]	Time 0.775 (0.762)	Data 0.001 (0.002)	Loss 1.9717 (1.8668)	Prec@1 51.562 (51.320)	Prec@5 75.000 (80.952)
Epoch: [66][7720/14090]	Time 0.735 (0.762)	Data 0.001 (0.002)	Loss 1.7790 (1.8668)	Prec@1 52.344 (51.320)	Prec@5 81.250 (80.951)
Epoch: [66][7730/14090]	Time 0.739 (0.762)	Data 0.001 (0.002)	Loss 1.7765 (1.8669)	Prec@1 57.812 (51.318)	Prec@5 82.031 (80.950)
Epoch: [66][7740/14090]	Time 0.753 (0.762)	Data 0.001 (0.002)	Loss 1.9643 (1.8668)	Prec@1 48.438 (51.320)	Prec@5 80.469 (80.951)
Epoch: [66][7750/14090]	Time 0.733 (0.762)	Data 0.001 (0.002)	Loss 1.9276 (1.8669)	Prec@1 53.125 (51.317)	Prec@5 79.688 (80.949)
Epoch: [66][7760/14090]	Time 0.871 (0.762)	Data 0.001 (0.002)	Loss 2.1109 (1.8669)	Prec@1 46.094 (51.316)	Prec@5 78.906 (80.949)
Epoch: [66][7770/14090]	Time 0.741 (0.762)	Data 0.001 (0.002)	Loss 2.1201 (1.8670)	Prec@1 46.094 (51.316)	Prec@5 77.344 (80.949)
Epoch: [66][7780/14090]	Time 0.731 (0.762)	Data 0.001 (0.002)	Loss 2.0677 (1.8671)	Prec@1 48.438 (51.315)	Prec@5 80.469 (80.948)
Epoch: [66][7790/14090]	Time 0.766 (0.762)	Data 0.001 (0.002)	Loss 1.8927 (1.8671)	Prec@1 51.562 (51.315)	Prec@5 82.031 (80.948)
Epoch: [66][7800/14090]	Time 0.730 (0.762)	Data 0.001 (0.002)	Loss 1.9367 (1.8670)	Prec@1 52.344 (51.319)	Prec@5 77.344 (80.951)
Epoch: [66][7810/14090]	Time 0.747 (0.762)	Data 0.001 (0.002)	Loss 1.7712 (1.8669)	Prec@1 56.250 (51.323)	Prec@5 82.031 (80.952)
Epoch: [66][7820/14090]	Time 0.731 (0.762)	Data 0.001 (0.002)	Loss 1.8785 (1.8670)	Prec@1 53.125 (51.323)	Prec@5 78.906 (80.951)
Epoch: [66][7830/14090]	Time 0.857 (0.762)	Data 0.001 (0.002)	Loss 1.7382 (1.8671)	Prec@1 53.125 (51.320)	Prec@5 81.250 (80.948)
Epoch: [66][7840/14090]	Time 0.735 (0.762)	Data 0.001 (0.002)	Loss 1.8420 (1.8670)	Prec@1 56.250 (51.323)	Prec@5 81.250 (80.951)
Epoch: [66][7850/14090]	Time 0.768 (0.762)	Data 0.001 (0.002)	Loss 1.8017 (1.8670)	Prec@1 55.469 (51.324)	Prec@5 83.594 (80.951)
Epoch: [66][7860/14090]	Time 0.735 (0.762)	Data 0.001 (0.002)	Loss 1.8091 (1.8670)	Prec@1 50.000 (51.324)	Prec@5 85.156 (80.952)
Epoch: [66][7870/14090]	Time 0.752 (0.762)	Data 0.001 (0.002)	Loss 1.7045 (1.8668)	Prec@1 54.688 (51.328)	Prec@5 82.812 (80.955)
Epoch: [66][7880/14090]	Time 0.755 (0.762)	Data 0.001 (0.002)	Loss 1.7543 (1.8669)	Prec@1 54.688 (51.328)	Prec@5 82.031 (80.954)
Epoch: [66][7890/14090]	Time 0.764 (0.762)	Data 0.001 (0.002)	Loss 1.7721 (1.8668)	Prec@1 51.562 (51.331)	Prec@5 84.375 (80.956)
Epoch: [66][7900/14090]	Time 0.857 (0.762)	Data 0.001 (0.002)	Loss 2.0675 (1.8668)	Prec@1 48.438 (51.329)	Prec@5 82.031 (80.955)
Epoch: [66][7910/14090]	Time 0.749 (0.762)	Data 0.001 (0.002)	Loss 1.9070 (1.8668)	Prec@1 51.562 (51.330)	Prec@5 82.031 (80.957)
Epoch: [66][7920/14090]	Time 0.765 (0.762)	Data 0.001 (0.002)	Loss 1.7248 (1.8668)	Prec@1 54.688 (51.330)	Prec@5 84.375 (80.958)
Epoch: [66][7930/14090]	Time 0.757 (0.762)	Data 0.001 (0.002)	Loss 1.6307 (1.8668)	Prec@1 55.469 (51.327)	Prec@5 84.375 (80.959)
Epoch: [66][7940/14090]	Time 0.732 (0.762)	Data 0.001 (0.002)	Loss 1.9127 (1.8668)	Prec@1 48.438 (51.324)	Prec@5 82.812 (80.959)
Epoch: [66][7950/14090]	Time 0.737 (0.762)	Data 0.001 (0.002)	Loss 1.6707 (1.8667)	Prec@1 50.781 (51.325)	Prec@5 85.938 (80.960)
Epoch: [66][7960/14090]	Time 0.767 (0.762)	Data 0.001 (0.002)	Loss 1.7062 (1.8667)	Prec@1 63.281 (51.325)	Prec@5 84.375 (80.962)
Epoch: [66][7970/14090]	Time 0.873 (0.762)	Data 0.001 (0.002)	Loss 1.7536 (1.8667)	Prec@1 49.219 (51.325)	Prec@5 82.031 (80.964)
Epoch: [66][7980/14090]	Time 0.732 (0.762)	Data 0.001 (0.002)	Loss 2.0829 (1.8667)	Prec@1 49.219 (51.324)	Prec@5 71.875 (80.959)
Epoch: [66][7990/14090]	Time 0.756 (0.762)	Data 0.001 (0.002)	Loss 2.1169 (1.8667)	Prec@1 47.656 (51.329)	Prec@5 77.344 (80.962)
Epoch: [66][8000/14090]	Time 0.738 (0.762)	Data 0.001 (0.002)	Loss 1.5169 (1.8666)	Prec@1 60.938 (51.331)	Prec@5 85.938 (80.962)
Epoch: [66][8010/14090]	Time 0.751 (0.762)	Data 0.001 (0.002)	Loss 1.7316 (1.8666)	Prec@1 55.469 (51.332)	Prec@5 84.375 (80.963)
Epoch: [66][8020/14090]	Time 0.751 (0.762)	Data 0.001 (0.002)	Loss 2.1013 (1.8666)	Prec@1 46.875 (51.330)	Prec@5 74.219 (80.962)
Epoch: [66][8030/14090]	Time 0.767 (0.762)	Data 0.001 (0.002)	Loss 1.9199 (1.8666)	Prec@1 50.000 (51.330)	Prec@5 79.688 (80.963)
Epoch: [66][8040/14090]	Time 0.864 (0.762)	Data 0.001 (0.002)	Loss 1.8718 (1.8666)	Prec@1 49.219 (51.330)	Prec@5 82.812 (80.964)
Epoch: [66][8050/14090]	Time 0.753 (0.762)	Data 0.001 (0.002)	Loss 1.8037 (1.8666)	Prec@1 52.344 (51.329)	Prec@5 83.594 (80.963)
Epoch: [66][8060/14090]	Time 0.727 (0.762)	Data 0.001 (0.002)	Loss 1.5801 (1.8667)	Prec@1 52.344 (51.326)	Prec@5 85.938 (80.961)
Epoch: [66][8070/14090]	Time 0.761 (0.762)	Data 0.001 (0.002)	Loss 2.2188 (1.8667)	Prec@1 48.438 (51.326)	Prec@5 78.906 (80.962)
Epoch: [66][8080/14090]	Time 0.731 (0.762)	Data 0.001 (0.002)	Loss 1.8282 (1.8667)	Prec@1 48.438 (51.326)	Prec@5 82.812 (80.963)
Epoch: [66][8090/14090]	Time 0.763 (0.762)	Data 0.001 (0.002)	Loss 2.0955 (1.8668)	Prec@1 46.875 (51.325)	Prec@5 75.781 (80.962)
Epoch: [66][8100/14090]	Time 0.758 (0.762)	Data 0.001 (0.002)	Loss 1.8286 (1.8668)	Prec@1 55.469 (51.327)	Prec@5 82.031 (80.961)
Epoch: [66][8110/14090]	Time 0.866 (0.762)	Data 0.001 (0.002)	Loss 1.9970 (1.8669)	Prec@1 44.531 (51.322)	Prec@5 78.906 (80.960)
Epoch: [66][8120/14090]	Time 0.728 (0.762)	Data 0.001 (0.002)	Loss 2.1136 (1.8670)	Prec@1 41.406 (51.318)	Prec@5 74.219 (80.958)
Epoch: [66][8130/14090]	Time 0.728 (0.762)	Data 0.001 (0.002)	Loss 1.7604 (1.8671)	Prec@1 59.375 (51.316)	Prec@5 82.812 (80.957)
Epoch: [66][8140/14090]	Time 0.733 (0.762)	Data 0.001 (0.002)	Loss 1.9066 (1.8671)	Prec@1 47.656 (51.315)	Prec@5 80.469 (80.957)
Epoch: [66][8150/14090]	Time 0.728 (0.762)	Data 0.001 (0.002)	Loss 1.7024 (1.8671)	Prec@1 53.125 (51.315)	Prec@5 81.250 (80.956)
Epoch: [66][8160/14090]	Time 0.748 (0.762)	Data 0.001 (0.002)	Loss 1.8341 (1.8673)	Prec@1 57.031 (51.313)	Prec@5 80.469 (80.953)
Epoch: [66][8170/14090]	Time 0.777 (0.762)	Data 0.006 (0.002)	Loss 1.7594 (1.8673)	Prec@1 49.219 (51.311)	Prec@5 86.719 (80.955)
Epoch: [66][8180/14090]	Time 0.858 (0.762)	Data 0.001 (0.002)	Loss 2.0909 (1.8673)	Prec@1 46.094 (51.308)	Prec@5 82.031 (80.955)
Epoch: [66][8190/14090]	Time 0.735 (0.762)	Data 0.001 (0.002)	Loss 1.9528 (1.8672)	Prec@1 51.562 (51.310)	Prec@5 74.219 (80.958)
Epoch: [66][8200/14090]	Time 0.777 (0.762)	Data 0.001 (0.002)	Loss 1.6582 (1.8672)	Prec@1 56.250 (51.310)	Prec@5 81.250 (80.957)
Epoch: [66][8210/14090]	Time 0.743 (0.762)	Data 0.001 (0.002)	Loss 1.7651 (1.8673)	Prec@1 53.125 (51.309)	Prec@5 83.594 (80.957)
Epoch: [66][8220/14090]	Time 0.738 (0.762)	Data 0.001 (0.002)	Loss 2.0369 (1.8672)	Prec@1 48.438 (51.311)	Prec@5 76.562 (80.958)
Epoch: [66][8230/14090]	Time 0.723 (0.762)	Data 0.001 (0.002)	Loss 1.6701 (1.8672)	Prec@1 53.125 (51.311)	Prec@5 85.938 (80.958)
Epoch: [66][8240/14090]	Time 0.734 (0.762)	Data 0.001 (0.002)	Loss 2.0195 (1.8672)	Prec@1 42.969 (51.308)	Prec@5 81.250 (80.957)
Epoch: [66][8250/14090]	Time 0.836 (0.762)	Data 0.001 (0.002)	Loss 2.0803 (1.8674)	Prec@1 48.438 (51.304)	Prec@5 76.562 (80.956)
Epoch: [66][8260/14090]	Time 0.727 (0.762)	Data 0.001 (0.002)	Loss 1.6157 (1.8673)	Prec@1 60.156 (51.306)	Prec@5 84.375 (80.956)
Epoch: [66][8270/14090]	Time 0.774 (0.762)	Data 0.001 (0.002)	Loss 2.1604 (1.8674)	Prec@1 46.875 (51.305)	Prec@5 75.000 (80.955)
Epoch: [66][8280/14090]	Time 0.723 (0.762)	Data 0.001 (0.001)	Loss 1.7847 (1.8674)	Prec@1 52.344 (51.307)	Prec@5 82.031 (80.955)
Epoch: [66][8290/14090]	Time 0.736 (0.762)	Data 0.001 (0.001)	Loss 1.8057 (1.8674)	Prec@1 52.344 (51.306)	Prec@5 83.594 (80.955)
Epoch: [66][8300/14090]	Time 0.736 (0.762)	Data 0.001 (0.001)	Loss 1.9034 (1.8673)	Prec@1 50.781 (51.309)	Prec@5 81.250 (80.955)
Epoch: [66][8310/14090]	Time 0.725 (0.762)	Data 0.001 (0.001)	Loss 1.8974 (1.8673)	Prec@1 53.906 (51.308)	Prec@5 79.688 (80.955)
Epoch: [66][8320/14090]	Time 0.843 (0.762)	Data 0.001 (0.001)	Loss 2.1022 (1.8673)	Prec@1 44.531 (51.310)	Prec@5 72.656 (80.956)
Epoch: [66][8330/14090]	Time 0.730 (0.762)	Data 0.001 (0.001)	Loss 1.9764 (1.8673)	Prec@1 43.750 (51.311)	Prec@5 82.812 (80.957)
Epoch: [66][8340/14090]	Time 0.733 (0.762)	Data 0.001 (0.001)	Loss 1.6044 (1.8672)	Prec@1 55.469 (51.310)	Prec@5 82.031 (80.958)
Epoch: [66][8350/14090]	Time 0.780 (0.762)	Data 0.001 (0.001)	Loss 1.9627 (1.8672)	Prec@1 51.562 (51.309)	Prec@5 78.906 (80.959)
Epoch: [66][8360/14090]	Time 0.747 (0.762)	Data 0.001 (0.001)	Loss 1.8936 (1.8672)	Prec@1 46.875 (51.311)	Prec@5 82.812 (80.961)
Epoch: [66][8370/14090]	Time 0.731 (0.762)	Data 0.001 (0.001)	Loss 1.7420 (1.8671)	Prec@1 56.250 (51.311)	Prec@5 82.812 (80.961)
Epoch: [66][8380/14090]	Time 0.720 (0.762)	Data 0.001 (0.001)	Loss 2.0136 (1.8671)	Prec@1 48.438 (51.310)	Prec@5 78.125 (80.962)
Epoch: [66][8390/14090]	Time 0.862 (0.762)	Data 0.001 (0.001)	Loss 1.9864 (1.8671)	Prec@1 50.781 (51.311)	Prec@5 80.469 (80.963)
Epoch: [66][8400/14090]	Time 0.728 (0.762)	Data 0.001 (0.001)	Loss 1.8845 (1.8671)	Prec@1 45.312 (51.308)	Prec@5 83.594 (80.963)
Epoch: [66][8410/14090]	Time 0.741 (0.762)	Data 0.001 (0.001)	Loss 1.9328 (1.8672)	Prec@1 58.594 (51.309)	Prec@5 79.688 (80.963)
Epoch: [66][8420/14090]	Time 0.724 (0.762)	Data 0.001 (0.001)	Loss 1.8473 (1.8672)	Prec@1 53.125 (51.307)	Prec@5 81.250 (80.963)
Epoch: [66][8430/14090]	Time 0.734 (0.762)	Data 0.001 (0.001)	Loss 1.9987 (1.8672)	Prec@1 53.125 (51.307)	Prec@5 82.031 (80.962)
Epoch: [66][8440/14090]	Time 0.728 (0.762)	Data 0.001 (0.001)	Loss 1.9042 (1.8673)	Prec@1 51.562 (51.303)	Prec@5 78.906 (80.961)
Epoch: [66][8450/14090]	Time 0.777 (0.762)	Data 0.001 (0.001)	Loss 1.8863 (1.8672)	Prec@1 51.562 (51.304)	Prec@5 82.031 (80.962)
Epoch: [66][8460/14090]	Time 0.864 (0.762)	Data 0.001 (0.001)	Loss 2.1664 (1.8672)	Prec@1 48.438 (51.306)	Prec@5 72.656 (80.961)
Epoch: [66][8470/14090]	Time 0.724 (0.762)	Data 0.001 (0.001)	Loss 1.9963 (1.8673)	Prec@1 46.094 (51.303)	Prec@5 75.781 (80.958)
Epoch: [66][8480/14090]	Time 0.721 (0.762)	Data 0.001 (0.001)	Loss 1.8875 (1.8674)	Prec@1 47.656 (51.303)	Prec@5 82.031 (80.957)
Epoch: [66][8490/14090]	Time 0.767 (0.762)	Data 0.001 (0.001)	Loss 1.8180 (1.8674)	Prec@1 49.219 (51.302)	Prec@5 79.688 (80.958)
Epoch: [66][8500/14090]	Time 0.754 (0.762)	Data 0.001 (0.001)	Loss 1.9086 (1.8675)	Prec@1 53.125 (51.300)	Prec@5 80.469 (80.957)
Epoch: [66][8510/14090]	Time 0.727 (0.762)	Data 0.001 (0.001)	Loss 1.8197 (1.8676)	Prec@1 50.781 (51.298)	Prec@5 80.469 (80.956)
Epoch: [66][8520/14090]	Time 0.753 (0.762)	Data 0.001 (0.001)	Loss 2.0887 (1.8675)	Prec@1 44.531 (51.298)	Prec@5 79.688 (80.956)
Epoch: [66][8530/14090]	Time 0.864 (0.762)	Data 0.001 (0.001)	Loss 1.8541 (1.8676)	Prec@1 50.000 (51.297)	Prec@5 82.031 (80.957)
Epoch: [66][8540/14090]	Time 0.724 (0.762)	Data 0.001 (0.001)	Loss 1.9387 (1.8676)	Prec@1 51.562 (51.297)	Prec@5 81.250 (80.957)
Epoch: [66][8550/14090]	Time 0.767 (0.762)	Data 0.001 (0.001)	Loss 1.8815 (1.8676)	Prec@1 48.438 (51.296)	Prec@5 81.250 (80.955)
Epoch: [66][8560/14090]	Time 0.776 (0.762)	Data 0.001 (0.001)	Loss 1.7508 (1.8677)	Prec@1 56.250 (51.294)	Prec@5 85.156 (80.954)
Epoch: [66][8570/14090]	Time 0.736 (0.762)	Data 0.001 (0.001)	Loss 1.9779 (1.8677)	Prec@1 48.438 (51.295)	Prec@5 78.125 (80.953)
Epoch: [66][8580/14090]	Time 0.754 (0.762)	Data 0.001 (0.001)	Loss 1.9527 (1.8678)	Prec@1 49.219 (51.293)	Prec@5 78.125 (80.951)
Epoch: [66][8590/14090]	Time 0.762 (0.762)	Data 0.001 (0.001)	Loss 1.9290 (1.8679)	Prec@1 48.438 (51.291)	Prec@5 78.125 (80.949)
Epoch: [66][8600/14090]	Time 0.857 (0.762)	Data 0.001 (0.001)	Loss 1.9888 (1.8680)	Prec@1 46.875 (51.287)	Prec@5 75.781 (80.948)
Epoch: [66][8610/14090]	Time 0.728 (0.762)	Data 0.001 (0.001)	Loss 1.7392 (1.8679)	Prec@1 56.250 (51.289)	Prec@5 82.812 (80.947)
Epoch: [66][8620/14090]	Time 0.734 (0.762)	Data 0.001 (0.001)	Loss 2.0800 (1.8680)	Prec@1 48.438 (51.290)	Prec@5 81.250 (80.947)
Epoch: [66][8630/14090]	Time 0.733 (0.762)	Data 0.001 (0.001)	Loss 1.9551 (1.8680)	Prec@1 42.969 (51.291)	Prec@5 80.469 (80.948)
Epoch: [66][8640/14090]	Time 0.748 (0.762)	Data 0.001 (0.001)	Loss 1.8816 (1.8680)	Prec@1 45.312 (51.288)	Prec@5 84.375 (80.947)
Epoch: [66][8650/14090]	Time 0.755 (0.762)	Data 0.001 (0.001)	Loss 1.7447 (1.8680)	Prec@1 54.688 (51.289)	Prec@5 85.938 (80.948)
Epoch: [66][8660/14090]	Time 0.772 (0.762)	Data 0.001 (0.001)	Loss 1.6635 (1.8680)	Prec@1 60.938 (51.292)	Prec@5 87.500 (80.950)
Epoch: [66][8670/14090]	Time 0.860 (0.762)	Data 0.001 (0.001)	Loss 2.0527 (1.8681)	Prec@1 41.406 (51.290)	Prec@5 77.344 (80.947)
Epoch: [66][8680/14090]	Time 0.753 (0.762)	Data 0.001 (0.001)	Loss 1.9896 (1.8681)	Prec@1 51.562 (51.292)	Prec@5 74.219 (80.947)
Epoch: [66][8690/14090]	Time 0.750 (0.762)	Data 0.001 (0.001)	Loss 2.1801 (1.8682)	Prec@1 42.969 (51.289)	Prec@5 72.656 (80.945)
Epoch: [66][8700/14090]	Time 0.756 (0.762)	Data 0.001 (0.001)	Loss 1.9368 (1.8683)	Prec@1 53.906 (51.289)	Prec@5 82.812 (80.944)
Epoch: [66][8710/14090]	Time 0.733 (0.762)	Data 0.001 (0.001)	Loss 1.7321 (1.8682)	Prec@1 54.688 (51.291)	Prec@5 85.938 (80.946)
Epoch: [66][8720/14090]	Time 0.744 (0.762)	Data 0.001 (0.001)	Loss 1.4954 (1.8681)	Prec@1 61.719 (51.294)	Prec@5 89.062 (80.948)
Epoch: [66][8730/14090]	Time 0.727 (0.762)	Data 0.001 (0.001)	Loss 1.9392 (1.8681)	Prec@1 48.438 (51.292)	Prec@5 80.469 (80.947)
Epoch: [66][8740/14090]	Time 0.856 (0.762)	Data 0.001 (0.001)	Loss 1.9585 (1.8682)	Prec@1 53.906 (51.292)	Prec@5 80.469 (80.947)
Epoch: [66][8750/14090]	Time 0.720 (0.762)	Data 0.001 (0.001)	Loss 1.8149 (1.8682)	Prec@1 55.469 (51.293)	Prec@5 85.156 (80.947)
Epoch: [66][8760/14090]	Time 0.737 (0.762)	Data 0.001 (0.001)	Loss 1.9159 (1.8682)	Prec@1 49.219 (51.293)	Prec@5 81.250 (80.947)
Epoch: [66][8770/14090]	Time 0.744 (0.762)	Data 0.001 (0.001)	Loss 1.8242 (1.8682)	Prec@1 57.812 (51.294)	Prec@5 80.469 (80.945)
Epoch: [66][8780/14090]	Time 0.722 (0.762)	Data 0.001 (0.001)	Loss 2.0176 (1.8683)	Prec@1 50.000 (51.290)	Prec@5 77.344 (80.945)
Epoch: [66][8790/14090]	Time 0.750 (0.762)	Data 0.001 (0.001)	Loss 1.5804 (1.8682)	Prec@1 57.031 (51.294)	Prec@5 83.594 (80.948)
Epoch: [66][8800/14090]	Time 0.761 (0.762)	Data 0.001 (0.001)	Loss 1.7257 (1.8682)	Prec@1 52.344 (51.294)	Prec@5 89.844 (80.948)
Epoch: [66][8810/14090]	Time 0.889 (0.762)	Data 0.001 (0.001)	Loss 1.8601 (1.8682)	Prec@1 47.656 (51.293)	Prec@5 82.812 (80.949)
Epoch: [66][8820/14090]	Time 0.729 (0.762)	Data 0.001 (0.001)	Loss 2.0003 (1.8682)	Prec@1 46.875 (51.291)	Prec@5 78.125 (80.949)
Epoch: [66][8830/14090]	Time 0.731 (0.762)	Data 0.001 (0.001)	Loss 1.8479 (1.8682)	Prec@1 50.781 (51.293)	Prec@5 81.250 (80.949)
Epoch: [66][8840/14090]	Time 0.754 (0.762)	Data 0.001 (0.001)	Loss 1.9826 (1.8681)	Prec@1 50.000 (51.294)	Prec@5 79.688 (80.949)
Epoch: [66][8850/14090]	Time 0.769 (0.762)	Data 0.001 (0.001)	Loss 1.8252 (1.8683)	Prec@1 54.688 (51.294)	Prec@5 82.812 (80.947)
Epoch: [66][8860/14090]	Time 0.755 (0.762)	Data 0.001 (0.001)	Loss 1.8046 (1.8683)	Prec@1 50.000 (51.293)	Prec@5 85.938 (80.948)
Epoch: [66][8870/14090]	Time 0.781 (0.762)	Data 0.001 (0.001)	Loss 1.8574 (1.8683)	Prec@1 50.781 (51.293)	Prec@5 82.031 (80.947)
Epoch: [66][8880/14090]	Time 0.850 (0.762)	Data 0.001 (0.001)	Loss 1.7156 (1.8683)	Prec@1 50.781 (51.293)	Prec@5 84.375 (80.948)
Epoch: [66][8890/14090]	Time 0.725 (0.762)	Data 0.001 (0.001)	Loss 1.8424 (1.8683)	Prec@1 50.000 (51.292)	Prec@5 82.031 (80.947)
Epoch: [66][8900/14090]	Time 0.730 (0.762)	Data 0.001 (0.001)	Loss 1.7003 (1.8683)	Prec@1 53.906 (51.290)	Prec@5 87.500 (80.946)
Epoch: [66][8910/14090]	Time 0.773 (0.762)	Data 0.001 (0.001)	Loss 1.9376 (1.8683)	Prec@1 53.125 (51.292)	Prec@5 78.125 (80.947)
Epoch: [66][8920/14090]	Time 0.774 (0.762)	Data 0.001 (0.001)	Loss 1.8867 (1.8683)	Prec@1 50.781 (51.292)	Prec@5 76.562 (80.946)
Epoch: [66][8930/14090]	Time 0.734 (0.762)	Data 0.001 (0.001)	Loss 1.8826 (1.8684)	Prec@1 50.000 (51.289)	Prec@5 78.906 (80.945)
Epoch: [66][8940/14090]	Time 0.758 (0.762)	Data 0.001 (0.001)	Loss 1.7436 (1.8684)	Prec@1 46.875 (51.288)	Prec@5 84.375 (80.946)
Epoch: [66][8950/14090]	Time 0.869 (0.762)	Data 0.001 (0.001)	Loss 1.9992 (1.8684)	Prec@1 49.219 (51.288)	Prec@5 78.125 (80.946)
Epoch: [66][8960/14090]	Time 0.720 (0.762)	Data 0.001 (0.001)	Loss 2.0345 (1.8685)	Prec@1 50.781 (51.287)	Prec@5 73.438 (80.943)
Epoch: [66][8970/14090]	Time 0.737 (0.762)	Data 0.001 (0.001)	Loss 1.9418 (1.8686)	Prec@1 50.781 (51.283)	Prec@5 78.906 (80.942)
Epoch: [66][8980/14090]	Time 0.740 (0.762)	Data 0.001 (0.001)	Loss 1.8616 (1.8687)	Prec@1 50.000 (51.281)	Prec@5 82.031 (80.941)
Epoch: [66][8990/14090]	Time 0.732 (0.762)	Data 0.001 (0.001)	Loss 1.8513 (1.8686)	Prec@1 55.469 (51.282)	Prec@5 80.469 (80.943)
Epoch: [66][9000/14090]	Time 0.756 (0.762)	Data 0.001 (0.001)	Loss 1.7675 (1.8686)	Prec@1 57.031 (51.284)	Prec@5 82.031 (80.942)
Epoch: [66][9010/14090]	Time 0.781 (0.762)	Data 0.001 (0.001)	Loss 1.9455 (1.8686)	Prec@1 49.219 (51.281)	Prec@5 81.250 (80.941)
Epoch: [66][9020/14090]	Time 0.877 (0.762)	Data 0.001 (0.001)	Loss 1.7270 (1.8686)	Prec@1 54.688 (51.282)	Prec@5 83.594 (80.943)
Epoch: [66][9030/14090]	Time 0.736 (0.762)	Data 0.001 (0.001)	Loss 1.7740 (1.8685)	Prec@1 52.344 (51.283)	Prec@5 81.250 (80.944)
Epoch: [66][9040/14090]	Time 0.729 (0.762)	Data 0.001 (0.001)	Loss 1.7062 (1.8686)	Prec@1 50.000 (51.281)	Prec@5 81.250 (80.944)
Epoch: [66][9050/14090]	Time 0.766 (0.762)	Data 0.001 (0.001)	Loss 1.9245 (1.8686)	Prec@1 50.781 (51.280)	Prec@5 78.906 (80.943)
Epoch: [66][9060/14090]	Time 0.754 (0.762)	Data 0.001 (0.001)	Loss 1.8575 (1.8686)	Prec@1 50.781 (51.280)	Prec@5 84.375 (80.944)
Epoch: [66][9070/14090]	Time 0.735 (0.762)	Data 0.001 (0.001)	Loss 2.0072 (1.8685)	Prec@1 47.656 (51.281)	Prec@5 80.469 (80.946)
Epoch: [66][9080/14090]	Time 0.724 (0.762)	Data 0.001 (0.001)	Loss 1.7441 (1.8685)	Prec@1 53.125 (51.283)	Prec@5 84.375 (80.948)
Epoch: [66][9090/14090]	Time 0.866 (0.762)	Data 0.001 (0.001)	Loss 1.6436 (1.8685)	Prec@1 54.688 (51.284)	Prec@5 82.031 (80.947)
Epoch: [66][9100/14090]	Time 0.732 (0.762)	Data 0.001 (0.001)	Loss 2.0251 (1.8685)	Prec@1 46.094 (51.282)	Prec@5 76.562 (80.945)
Epoch: [66][9110/14090]	Time 0.734 (0.762)	Data 0.001 (0.001)	Loss 2.1751 (1.8685)	Prec@1 46.094 (51.281)	Prec@5 74.219 (80.945)
Epoch: [66][9120/14090]	Time 0.733 (0.762)	Data 0.001 (0.001)	Loss 1.6687 (1.8685)	Prec@1 56.250 (51.280)	Prec@5 82.031 (80.945)
Epoch: [66][9130/14090]	Time 0.743 (0.762)	Data 0.001 (0.001)	Loss 1.9701 (1.8686)	Prec@1 53.125 (51.279)	Prec@5 75.000 (80.945)
Epoch: [66][9140/14090]	Time 0.748 (0.762)	Data 0.001 (0.001)	Loss 1.7089 (1.8686)	Prec@1 57.031 (51.280)	Prec@5 82.812 (80.944)
Epoch: [66][9150/14090]	Time 0.742 (0.762)	Data 0.001 (0.001)	Loss 1.8464 (1.8686)	Prec@1 48.438 (51.280)	Prec@5 80.469 (80.944)
Epoch: [66][9160/14090]	Time 0.875 (0.762)	Data 0.001 (0.001)	Loss 1.7758 (1.8685)	Prec@1 55.469 (51.280)	Prec@5 85.938 (80.946)
Epoch: [66][9170/14090]	Time 0.732 (0.762)	Data 0.001 (0.001)	Loss 1.7509 (1.8684)	Prec@1 53.906 (51.282)	Prec@5 83.594 (80.949)
Epoch: [66][9180/14090]	Time 0.741 (0.762)	Data 0.001 (0.001)	Loss 1.6640 (1.8684)	Prec@1 58.594 (51.284)	Prec@5 82.031 (80.948)
Epoch: [66][9190/14090]	Time 0.731 (0.762)	Data 0.001 (0.001)	Loss 2.0532 (1.8685)	Prec@1 50.781 (51.283)	Prec@5 75.000 (80.948)
Epoch: [66][9200/14090]	Time 0.730 (0.762)	Data 0.001 (0.001)	Loss 1.8676 (1.8686)	Prec@1 54.688 (51.282)	Prec@5 84.375 (80.947)
Epoch: [66][9210/14090]	Time 0.756 (0.762)	Data 0.001 (0.001)	Loss 1.8545 (1.8686)	Prec@1 50.781 (51.279)	Prec@5 78.906 (80.946)
Epoch: [66][9220/14090]	Time 0.765 (0.762)	Data 0.001 (0.001)	Loss 2.3033 (1.8686)	Prec@1 44.531 (51.278)	Prec@5 72.656 (80.946)
Epoch: [66][9230/14090]	Time 0.870 (0.762)	Data 0.001 (0.001)	Loss 1.9715 (1.8687)	Prec@1 47.656 (51.276)	Prec@5 75.000 (80.943)
Epoch: [66][9240/14090]	Time 0.736 (0.762)	Data 0.001 (0.001)	Loss 1.5167 (1.8687)	Prec@1 51.562 (51.274)	Prec@5 91.406 (80.946)
Epoch: [66][9250/14090]	Time 0.768 (0.762)	Data 0.001 (0.001)	Loss 1.9797 (1.8687)	Prec@1 49.219 (51.275)	Prec@5 76.562 (80.946)
Epoch: [66][9260/14090]	Time 0.735 (0.762)	Data 0.001 (0.001)	Loss 1.7625 (1.8686)	Prec@1 55.469 (51.277)	Prec@5 82.812 (80.946)
Epoch: [66][9270/14090]	Time 0.783 (0.762)	Data 0.001 (0.001)	Loss 1.8669 (1.8687)	Prec@1 54.688 (51.277)	Prec@5 81.250 (80.945)
Epoch: [66][9280/14090]	Time 0.731 (0.762)	Data 0.001 (0.001)	Loss 2.0240 (1.8687)	Prec@1 48.438 (51.274)	Prec@5 80.469 (80.944)
Epoch: [66][9290/14090]	Time 0.752 (0.762)	Data 0.001 (0.001)	Loss 1.8909 (1.8687)	Prec@1 52.344 (51.276)	Prec@5 75.781 (80.943)
Epoch: [66][9300/14090]	Time 0.845 (0.762)	Data 0.001 (0.001)	Loss 1.8874 (1.8688)	Prec@1 50.781 (51.273)	Prec@5 79.688 (80.942)
Epoch: [66][9310/14090]	Time 0.727 (0.762)	Data 0.001 (0.001)	Loss 2.1239 (1.8688)	Prec@1 46.094 (51.273)	Prec@5 77.344 (80.943)
Epoch: [66][9320/14090]	Time 0.732 (0.762)	Data 0.001 (0.001)	Loss 1.7963 (1.8688)	Prec@1 55.469 (51.272)	Prec@5 83.594 (80.941)
Epoch: [66][9330/14090]	Time 0.725 (0.762)	Data 0.001 (0.001)	Loss 1.8129 (1.8688)	Prec@1 51.562 (51.272)	Prec@5 79.688 (80.940)
Epoch: [66][9340/14090]	Time 0.726 (0.762)	Data 0.001 (0.001)	Loss 1.7581 (1.8688)	Prec@1 52.344 (51.272)	Prec@5 80.469 (80.940)
Epoch: [66][9350/14090]	Time 0.753 (0.762)	Data 0.001 (0.001)	Loss 2.0683 (1.8688)	Prec@1 51.562 (51.273)	Prec@5 75.781 (80.941)
Epoch: [66][9360/14090]	Time 0.780 (0.762)	Data 0.001 (0.001)	Loss 1.7812 (1.8688)	Prec@1 57.031 (51.273)	Prec@5 82.031 (80.940)
Epoch: [66][9370/14090]	Time 0.872 (0.762)	Data 0.001 (0.001)	Loss 1.9311 (1.8688)	Prec@1 55.469 (51.273)	Prec@5 81.250 (80.940)
Epoch: [66][9380/14090]	Time 0.742 (0.762)	Data 0.001 (0.001)	Loss 1.7211 (1.8687)	Prec@1 51.562 (51.274)	Prec@5 82.812 (80.942)
Epoch: [66][9390/14090]	Time 0.733 (0.762)	Data 0.001 (0.001)	Loss 1.8891 (1.8687)	Prec@1 42.969 (51.273)	Prec@5 79.688 (80.942)
Epoch: [66][9400/14090]	Time 0.729 (0.762)	Data 0.001 (0.001)	Loss 1.6646 (1.8687)	Prec@1 55.469 (51.272)	Prec@5 83.594 (80.942)
Epoch: [66][9410/14090]	Time 0.767 (0.762)	Data 0.001 (0.001)	Loss 1.9046 (1.8687)	Prec@1 56.250 (51.272)	Prec@5 82.031 (80.942)
Epoch: [66][9420/14090]	Time 0.745 (0.762)	Data 0.001 (0.001)	Loss 2.0014 (1.8688)	Prec@1 47.656 (51.270)	Prec@5 78.125 (80.941)
Epoch: [66][9430/14090]	Time 0.731 (0.762)	Data 0.001 (0.001)	Loss 2.0402 (1.8688)	Prec@1 43.750 (51.269)	Prec@5 74.219 (80.939)
Epoch: [66][9440/14090]	Time 0.838 (0.762)	Data 0.001 (0.001)	Loss 1.8368 (1.8688)	Prec@1 49.219 (51.271)	Prec@5 85.156 (80.939)
Epoch: [66][9450/14090]	Time 0.730 (0.762)	Data 0.001 (0.001)	Loss 1.8272 (1.8688)	Prec@1 52.344 (51.270)	Prec@5 84.375 (80.940)
Epoch: [66][9460/14090]	Time 0.731 (0.762)	Data 0.001 (0.001)	Loss 2.1354 (1.8687)	Prec@1 46.094 (51.272)	Prec@5 71.094 (80.940)
Epoch: [66][9470/14090]	Time 0.748 (0.762)	Data 0.001 (0.001)	Loss 1.7756 (1.8688)	Prec@1 52.344 (51.268)	Prec@5 82.812 (80.939)
Epoch: [66][9480/14090]	Time 0.722 (0.762)	Data 0.001 (0.001)	Loss 1.8322 (1.8688)	Prec@1 56.250 (51.269)	Prec@5 79.688 (80.940)
Epoch: [66][9490/14090]	Time 0.763 (0.762)	Data 0.001 (0.001)	Loss 1.8275 (1.8689)	Prec@1 50.781 (51.268)	Prec@5 80.469 (80.938)
Epoch: [66][9500/14090]	Time 0.742 (0.762)	Data 0.001 (0.001)	Loss 2.0677 (1.8689)	Prec@1 48.438 (51.267)	Prec@5 79.688 (80.937)
Epoch: [66][9510/14090]	Time 0.888 (0.762)	Data 0.001 (0.001)	Loss 1.5512 (1.8688)	Prec@1 57.812 (51.270)	Prec@5 88.281 (80.939)
Epoch: [66][9520/14090]	Time 0.724 (0.762)	Data 0.001 (0.001)	Loss 1.8216 (1.8688)	Prec@1 53.125 (51.272)	Prec@5 82.031 (80.940)
Epoch: [66][9530/14090]	Time 0.757 (0.762)	Data 0.001 (0.001)	Loss 1.8858 (1.8688)	Prec@1 54.688 (51.275)	Prec@5 80.469 (80.940)
Epoch: [66][9540/14090]	Time 0.758 (0.762)	Data 0.001 (0.001)	Loss 2.0436 (1.8689)	Prec@1 53.125 (51.275)	Prec@5 76.562 (80.939)
Epoch: [66][9550/14090]	Time 0.746 (0.762)	Data 0.001 (0.001)	Loss 1.9861 (1.8689)	Prec@1 51.562 (51.275)	Prec@5 77.344 (80.940)
Epoch: [66][9560/14090]	Time 0.755 (0.762)	Data 0.001 (0.001)	Loss 1.8778 (1.8688)	Prec@1 50.000 (51.275)	Prec@5 82.031 (80.942)
Epoch: [66][9570/14090]	Time 0.763 (0.762)	Data 0.001 (0.001)	Loss 1.9644 (1.8688)	Prec@1 52.344 (51.274)	Prec@5 78.906 (80.943)
Epoch: [66][9580/14090]	Time 0.873 (0.762)	Data 0.001 (0.001)	Loss 1.9278 (1.8689)	Prec@1 56.250 (51.274)	Prec@5 78.906 (80.941)
Epoch: [66][9590/14090]	Time 0.734 (0.762)	Data 0.001 (0.001)	Loss 1.6562 (1.8688)	Prec@1 54.688 (51.275)	Prec@5 85.156 (80.943)
Epoch: [66][9600/14090]	Time 0.729 (0.762)	Data 0.001 (0.001)	Loss 1.8268 (1.8688)	Prec@1 54.688 (51.276)	Prec@5 80.469 (80.942)
Epoch: [66][9610/14090]	Time 0.728 (0.762)	Data 0.001 (0.001)	Loss 1.6561 (1.8689)	Prec@1 54.688 (51.278)	Prec@5 85.156 (80.942)
Epoch: [66][9620/14090]	Time 0.741 (0.762)	Data 0.001 (0.001)	Loss 1.8035 (1.8688)	Prec@1 53.125 (51.280)	Prec@5 82.031 (80.943)
Epoch: [66][9630/14090]	Time 0.762 (0.762)	Data 0.001 (0.001)	Loss 1.9351 (1.8688)	Prec@1 50.781 (51.279)	Prec@5 77.344 (80.942)
Epoch: [66][9640/14090]	Time 0.749 (0.762)	Data 0.001 (0.001)	Loss 1.8058 (1.8687)	Prec@1 54.688 (51.282)	Prec@5 85.156 (80.944)
Epoch: [66][9650/14090]	Time 0.865 (0.762)	Data 0.002 (0.001)	Loss 1.6316 (1.8687)	Prec@1 54.688 (51.283)	Prec@5 84.375 (80.944)
Epoch: [66][9660/14090]	Time 0.728 (0.762)	Data 0.001 (0.001)	Loss 2.0475 (1.8687)	Prec@1 42.969 (51.283)	Prec@5 78.906 (80.944)
Epoch: [66][9670/14090]	Time 0.775 (0.762)	Data 0.001 (0.001)	Loss 1.8952 (1.8688)	Prec@1 50.000 (51.281)	Prec@5 80.469 (80.943)
Epoch: [66][9680/14090]	Time 0.722 (0.762)	Data 0.001 (0.001)	Loss 1.9130 (1.8687)	Prec@1 48.438 (51.281)	Prec@5 79.688 (80.944)
Epoch: [66][9690/14090]	Time 0.773 (0.762)	Data 0.001 (0.001)	Loss 1.9184 (1.8687)	Prec@1 47.656 (51.280)	Prec@5 78.906 (80.945)
Epoch: [66][9700/14090]	Time 0.736 (0.762)	Data 0.001 (0.001)	Loss 1.6897 (1.8687)	Prec@1 56.250 (51.281)	Prec@5 81.250 (80.947)
Epoch: [66][9710/14090]	Time 0.729 (0.762)	Data 0.001 (0.001)	Loss 1.8067 (1.8685)	Prec@1 47.656 (51.282)	Prec@5 82.031 (80.950)
Epoch: [66][9720/14090]	Time 0.815 (0.762)	Data 0.001 (0.001)	Loss 1.7966 (1.8684)	Prec@1 50.000 (51.284)	Prec@5 84.375 (80.953)
Epoch: [66][9730/14090]	Time 0.775 (0.762)	Data 0.001 (0.001)	Loss 2.1036 (1.8684)	Prec@1 45.312 (51.285)	Prec@5 78.906 (80.953)
Epoch: [66][9740/14090]	Time 0.779 (0.762)	Data 0.001 (0.001)	Loss 1.8749 (1.8685)	Prec@1 46.875 (51.284)	Prec@5 78.906 (80.952)
Epoch: [66][9750/14090]	Time 0.734 (0.762)	Data 0.001 (0.001)	Loss 1.6874 (1.8684)	Prec@1 54.688 (51.286)	Prec@5 84.375 (80.954)
Epoch: [66][9760/14090]	Time 0.738 (0.762)	Data 0.001 (0.001)	Loss 2.1148 (1.8684)	Prec@1 46.875 (51.285)	Prec@5 78.125 (80.954)
Epoch: [66][9770/14090]	Time 0.751 (0.762)	Data 0.001 (0.001)	Loss 1.6481 (1.8684)	Prec@1 57.031 (51.286)	Prec@5 83.594 (80.955)
Epoch: [66][9780/14090]	Time 0.759 (0.762)	Data 0.001 (0.001)	Loss 1.8881 (1.8684)	Prec@1 49.219 (51.286)	Prec@5 83.594 (80.956)
Epoch: [66][9790/14090]	Time 0.840 (0.762)	Data 0.001 (0.001)	Loss 1.6505 (1.8685)	Prec@1 57.812 (51.285)	Prec@5 78.906 (80.953)
Epoch: [66][9800/14090]	Time 0.721 (0.762)	Data 0.001 (0.001)	Loss 1.9614 (1.8684)	Prec@1 51.562 (51.284)	Prec@5 76.562 (80.953)
Epoch: [66][9810/14090]	Time 0.760 (0.762)	Data 0.001 (0.001)	Loss 2.1388 (1.8684)	Prec@1 45.312 (51.284)	Prec@5 77.344 (80.953)
Epoch: [66][9820/14090]	Time 0.725 (0.762)	Data 0.001 (0.001)	Loss 1.8557 (1.8684)	Prec@1 54.688 (51.283)	Prec@5 82.031 (80.953)
Epoch: [66][9830/14090]	Time 0.746 (0.762)	Data 0.001 (0.001)	Loss 1.7273 (1.8684)	Prec@1 58.594 (51.285)	Prec@5 86.719 (80.953)
Epoch: [66][9840/14090]	Time 0.733 (0.762)	Data 0.001 (0.001)	Loss 2.1435 (1.8685)	Prec@1 44.531 (51.284)	Prec@5 76.562 (80.953)
Epoch: [66][9850/14090]	Time 0.750 (0.762)	Data 0.001 (0.001)	Loss 1.7072 (1.8685)	Prec@1 54.688 (51.283)	Prec@5 84.375 (80.952)
Epoch: [66][9860/14090]	Time 0.880 (0.762)	Data 0.001 (0.001)	Loss 1.8030 (1.8684)	Prec@1 53.125 (51.286)	Prec@5 85.156 (80.955)
Epoch: [66][9870/14090]	Time 0.758 (0.762)	Data 0.001 (0.001)	Loss 1.9321 (1.8684)	Prec@1 44.531 (51.285)	Prec@5 79.688 (80.956)
Epoch: [66][9880/14090]	Time 0.724 (0.762)	Data 0.001 (0.001)	Loss 1.8460 (1.8684)	Prec@1 52.344 (51.286)	Prec@5 80.469 (80.957)
Epoch: [66][9890/14090]	Time 0.734 (0.762)	Data 0.001 (0.001)	Loss 2.1073 (1.8684)	Prec@1 45.312 (51.284)	Prec@5 71.094 (80.956)
Epoch: [66][9900/14090]	Time 0.741 (0.762)	Data 0.001 (0.001)	Loss 1.6806 (1.8684)	Prec@1 54.688 (51.286)	Prec@5 84.375 (80.957)
Epoch: [66][9910/14090]	Time 0.758 (0.762)	Data 0.001 (0.001)	Loss 1.8324 (1.8684)	Prec@1 49.219 (51.285)	Prec@5 82.812 (80.957)
Epoch: [66][9920/14090]	Time 0.771 (0.762)	Data 0.001 (0.001)	Loss 2.1159 (1.8684)	Prec@1 47.656 (51.285)	Prec@5 75.000 (80.957)
Epoch: [66][9930/14090]	Time 0.876 (0.762)	Data 0.001 (0.001)	Loss 1.9881 (1.8685)	Prec@1 50.781 (51.285)	Prec@5 80.469 (80.957)
Epoch: [66][9940/14090]	Time 0.734 (0.762)	Data 0.001 (0.001)	Loss 1.8520 (1.8684)	Prec@1 46.094 (51.286)	Prec@5 80.469 (80.957)
Epoch: [66][9950/14090]	Time 0.766 (0.762)	Data 0.001 (0.001)	Loss 1.7456 (1.8684)	Prec@1 53.125 (51.286)	Prec@5 85.156 (80.958)
Epoch: [66][9960/14090]	Time 0.753 (0.762)	Data 0.001 (0.001)	Loss 1.6934 (1.8684)	Prec@1 53.906 (51.287)	Prec@5 82.812 (80.959)
Epoch: [66][9970/14090]	Time 0.730 (0.762)	Data 0.001 (0.001)	Loss 1.5885 (1.8684)	Prec@1 60.938 (51.288)	Prec@5 88.281 (80.959)
Epoch: [66][9980/14090]	Time 0.754 (0.762)	Data 0.001 (0.001)	Loss 1.8986 (1.8684)	Prec@1 48.438 (51.288)	Prec@5 81.250 (80.958)
Epoch: [66][9990/14090]	Time 0.729 (0.762)	Data 0.001 (0.001)	Loss 1.9553 (1.8685)	Prec@1 54.688 (51.289)	Prec@5 76.562 (80.956)
Epoch: [66][10000/14090]	Time 0.863 (0.762)	Data 0.001 (0.001)	Loss 1.6726 (1.8684)	Prec@1 55.469 (51.288)	Prec@5 84.375 (80.957)
Epoch: [66][10010/14090]	Time 0.740 (0.762)	Data 0.001 (0.001)	Loss 1.7558 (1.8685)	Prec@1 59.375 (51.287)	Prec@5 82.031 (80.957)
Epoch: [66][10020/14090]	Time 0.734 (0.762)	Data 0.001 (0.001)	Loss 1.7302 (1.8685)	Prec@1 58.594 (51.288)	Prec@5 81.250 (80.957)
Epoch: [66][10030/14090]	Time 0.732 (0.762)	Data 0.001 (0.001)	Loss 1.7847 (1.8685)	Prec@1 50.000 (51.288)	Prec@5 81.250 (80.957)
Epoch: [66][10040/14090]	Time 0.733 (0.762)	Data 0.001 (0.001)	Loss 2.1061 (1.8686)	Prec@1 43.750 (51.286)	Prec@5 80.469 (80.956)
Epoch: [66][10050/14090]	Time 0.738 (0.762)	Data 0.001 (0.001)	Loss 1.6847 (1.8685)	Prec@1 59.375 (51.287)	Prec@5 86.719 (80.957)
Epoch: [66][10060/14090]	Time 0.731 (0.762)	Data 0.001 (0.001)	Loss 1.9355 (1.8686)	Prec@1 48.438 (51.284)	Prec@5 83.594 (80.957)
Epoch: [66][10070/14090]	Time 0.852 (0.762)	Data 0.001 (0.001)	Loss 2.0753 (1.8687)	Prec@1 49.219 (51.283)	Prec@5 78.906 (80.957)
Epoch: [66][10080/14090]	Time 0.754 (0.762)	Data 0.001 (0.001)	Loss 1.9401 (1.8687)	Prec@1 48.438 (51.280)	Prec@5 78.906 (80.955)
Epoch: [66][10090/14090]	Time 0.752 (0.762)	Data 0.001 (0.001)	Loss 1.9493 (1.8687)	Prec@1 48.438 (51.280)	Prec@5 81.250 (80.956)
Epoch: [66][10100/14090]	Time 0.753 (0.762)	Data 0.001 (0.001)	Loss 1.9539 (1.8687)	Prec@1 53.125 (51.281)	Prec@5 75.000 (80.954)
Epoch: [66][10110/14090]	Time 0.741 (0.762)	Data 0.001 (0.001)	Loss 1.8489 (1.8687)	Prec@1 52.344 (51.282)	Prec@5 80.469 (80.954)
Epoch: [66][10120/14090]	Time 0.753 (0.762)	Data 0.001 (0.001)	Loss 2.0446 (1.8687)	Prec@1 47.656 (51.281)	Prec@5 74.219 (80.952)
Epoch: [66][10130/14090]	Time 0.724 (0.762)	Data 0.001 (0.001)	Loss 1.8186 (1.8687)	Prec@1 53.906 (51.282)	Prec@5 79.688 (80.951)
Epoch: [66][10140/14090]	Time 0.888 (0.762)	Data 0.001 (0.001)	Loss 1.5422 (1.8687)	Prec@1 58.594 (51.284)	Prec@5 87.500 (80.954)
Epoch: [66][10150/14090]	Time 0.745 (0.762)	Data 0.001 (0.001)	Loss 2.0346 (1.8686)	Prec@1 55.469 (51.285)	Prec@5 75.781 (80.953)
Epoch: [66][10160/14090]	Time 0.774 (0.762)	Data 0.001 (0.001)	Loss 1.9679 (1.8686)	Prec@1 49.219 (51.288)	Prec@5 78.906 (80.954)
Epoch: [66][10170/14090]	Time 0.750 (0.762)	Data 0.001 (0.001)	Loss 2.1322 (1.8686)	Prec@1 46.094 (51.287)	Prec@5 81.250 (80.953)
Epoch: [66][10180/14090]	Time 0.725 (0.762)	Data 0.001 (0.001)	Loss 1.5913 (1.8686)	Prec@1 56.250 (51.288)	Prec@5 86.719 (80.955)
Epoch: [66][10190/14090]	Time 0.754 (0.762)	Data 0.001 (0.001)	Loss 1.8256 (1.8687)	Prec@1 53.906 (51.288)	Prec@5 79.688 (80.953)
Epoch: [66][10200/14090]	Time 0.736 (0.762)	Data 0.001 (0.001)	Loss 1.7575 (1.8687)	Prec@1 53.125 (51.288)	Prec@5 86.719 (80.952)
Epoch: [66][10210/14090]	Time 0.865 (0.762)	Data 0.001 (0.001)	Loss 1.6952 (1.8686)	Prec@1 57.031 (51.290)	Prec@5 82.031 (80.953)
Epoch: [66][10220/14090]	Time 0.751 (0.762)	Data 0.001 (0.001)	Loss 1.9163 (1.8686)	Prec@1 49.219 (51.291)	Prec@5 82.031 (80.954)
Epoch: [66][10230/14090]	Time 0.769 (0.762)	Data 0.001 (0.001)	Loss 1.7384 (1.8686)	Prec@1 54.688 (51.291)	Prec@5 82.031 (80.953)
Epoch: [66][10240/14090]	Time 0.775 (0.762)	Data 0.001 (0.001)	Loss 1.5627 (1.8685)	Prec@1 61.719 (51.292)	Prec@5 84.375 (80.955)
Epoch: [66][10250/14090]	Time 0.725 (0.762)	Data 0.001 (0.001)	Loss 1.9516 (1.8687)	Prec@1 50.781 (51.290)	Prec@5 78.906 (80.952)
Epoch: [66][10260/14090]	Time 0.746 (0.762)	Data 0.001 (0.001)	Loss 2.1080 (1.8687)	Prec@1 47.656 (51.291)	Prec@5 75.000 (80.952)
Epoch: [66][10270/14090]	Time 0.721 (0.762)	Data 0.001 (0.001)	Loss 1.8762 (1.8688)	Prec@1 47.656 (51.290)	Prec@5 83.594 (80.951)
Epoch: [66][10280/14090]	Time 0.846 (0.762)	Data 0.001 (0.001)	Loss 1.8854 (1.8687)	Prec@1 48.438 (51.290)	Prec@5 81.250 (80.953)
Epoch: [66][10290/14090]	Time 0.751 (0.762)	Data 0.002 (0.001)	Loss 2.0111 (1.8687)	Prec@1 47.656 (51.290)	Prec@5 76.562 (80.954)
Epoch: [66][10300/14090]	Time 0.725 (0.762)	Data 0.001 (0.001)	Loss 2.0302 (1.8688)	Prec@1 45.312 (51.287)	Prec@5 79.688 (80.954)
Epoch: [66][10310/14090]	Time 0.738 (0.762)	Data 0.001 (0.001)	Loss 1.7983 (1.8687)	Prec@1 51.562 (51.288)	Prec@5 84.375 (80.955)
Epoch: [66][10320/14090]	Time 0.744 (0.762)	Data 0.001 (0.001)	Loss 1.8475 (1.8687)	Prec@1 56.250 (51.287)	Prec@5 80.469 (80.954)
Epoch: [66][10330/14090]	Time 0.754 (0.762)	Data 0.001 (0.001)	Loss 1.8740 (1.8688)	Prec@1 56.250 (51.286)	Prec@5 80.469 (80.952)
Epoch: [66][10340/14090]	Time 0.777 (0.762)	Data 0.001 (0.001)	Loss 1.7388 (1.8688)	Prec@1 53.906 (51.287)	Prec@5 79.688 (80.952)
Epoch: [66][10350/14090]	Time 0.859 (0.762)	Data 0.001 (0.001)	Loss 1.8974 (1.8687)	Prec@1 48.438 (51.288)	Prec@5 78.125 (80.953)
Epoch: [66][10360/14090]	Time 0.725 (0.762)	Data 0.001 (0.001)	Loss 2.0384 (1.8688)	Prec@1 47.656 (51.287)	Prec@5 77.344 (80.953)
Epoch: [66][10370/14090]	Time 0.762 (0.762)	Data 0.001 (0.001)	Loss 1.8497 (1.8688)	Prec@1 50.000 (51.286)	Prec@5 80.469 (80.954)
Epoch: [66][10380/14090]	Time 0.740 (0.762)	Data 0.001 (0.001)	Loss 1.7396 (1.8687)	Prec@1 52.344 (51.288)	Prec@5 83.594 (80.954)
Epoch: [66][10390/14090]	Time 0.726 (0.762)	Data 0.001 (0.001)	Loss 2.0861 (1.8687)	Prec@1 44.531 (51.288)	Prec@5 75.781 (80.955)
Epoch: [66][10400/14090]	Time 0.749 (0.762)	Data 0.001 (0.001)	Loss 1.7382 (1.8686)	Prec@1 56.250 (51.290)	Prec@5 82.031 (80.955)
Epoch: [66][10410/14090]	Time 0.769 (0.762)	Data 0.001 (0.001)	Loss 1.7939 (1.8686)	Prec@1 53.125 (51.291)	Prec@5 82.031 (80.955)
Epoch: [66][10420/14090]	Time 0.877 (0.762)	Data 0.001 (0.001)	Loss 1.7530 (1.8686)	Prec@1 55.469 (51.288)	Prec@5 78.906 (80.954)
Epoch: [66][10430/14090]	Time 0.728 (0.762)	Data 0.001 (0.001)	Loss 1.8677 (1.8686)	Prec@1 52.344 (51.289)	Prec@5 82.031 (80.954)
Epoch: [66][10440/14090]	Time 0.732 (0.762)	Data 0.001 (0.001)	Loss 1.9644 (1.8688)	Prec@1 49.219 (51.284)	Prec@5 80.469 (80.951)
Epoch: [66][10450/14090]	Time 0.775 (0.762)	Data 0.001 (0.001)	Loss 1.9777 (1.8689)	Prec@1 48.438 (51.281)	Prec@5 81.250 (80.951)
Epoch: [66][10460/14090]	Time 0.720 (0.762)	Data 0.001 (0.001)	Loss 1.7467 (1.8689)	Prec@1 54.688 (51.283)	Prec@5 82.812 (80.951)
Epoch: [66][10470/14090]	Time 0.728 (0.762)	Data 0.001 (0.001)	Loss 2.0409 (1.8689)	Prec@1 45.312 (51.280)	Prec@5 75.781 (80.950)
Epoch: [66][10480/14090]	Time 0.734 (0.762)	Data 0.001 (0.001)	Loss 2.0090 (1.8689)	Prec@1 46.094 (51.282)	Prec@5 81.250 (80.949)
Epoch: [66][10490/14090]	Time 0.884 (0.762)	Data 0.001 (0.001)	Loss 1.8269 (1.8689)	Prec@1 57.031 (51.282)	Prec@5 77.344 (80.949)
Epoch: [66][10500/14090]	Time 0.733 (0.762)	Data 0.001 (0.001)	Loss 1.7423 (1.8689)	Prec@1 54.688 (51.281)	Prec@5 82.812 (80.948)
Epoch: [66][10510/14090]	Time 0.755 (0.762)	Data 0.001 (0.001)	Loss 2.1858 (1.8689)	Prec@1 39.062 (51.283)	Prec@5 75.000 (80.948)
Epoch: [66][10520/14090]	Time 0.743 (0.762)	Data 0.001 (0.001)	Loss 1.8838 (1.8690)	Prec@1 49.219 (51.282)	Prec@5 78.906 (80.947)
Epoch: [66][10530/14090]	Time 0.779 (0.762)	Data 0.001 (0.001)	Loss 1.9366 (1.8690)	Prec@1 52.344 (51.281)	Prec@5 80.469 (80.947)
Epoch: [66][10540/14090]	Time 0.745 (0.762)	Data 0.001 (0.001)	Loss 2.0367 (1.8690)	Prec@1 46.094 (51.281)	Prec@5 78.906 (80.946)
Epoch: [66][10550/14090]	Time 0.723 (0.762)	Data 0.001 (0.001)	Loss 1.4554 (1.8689)	Prec@1 55.469 (51.283)	Prec@5 86.719 (80.948)
Epoch: [66][10560/14090]	Time 0.855 (0.762)	Data 0.001 (0.001)	Loss 1.7312 (1.8689)	Prec@1 57.031 (51.283)	Prec@5 83.594 (80.948)
Epoch: [66][10570/14090]	Time 0.760 (0.762)	Data 0.001 (0.001)	Loss 1.5886 (1.8689)	Prec@1 49.219 (51.284)	Prec@5 89.062 (80.950)
Epoch: [66][10580/14090]	Time 0.756 (0.762)	Data 0.001 (0.001)	Loss 1.8142 (1.8689)	Prec@1 55.469 (51.284)	Prec@5 77.344 (80.948)
Epoch: [66][10590/14090]	Time 0.732 (0.762)	Data 0.001 (0.001)	Loss 1.8713 (1.8689)	Prec@1 47.656 (51.283)	Prec@5 78.125 (80.949)
Epoch: [66][10600/14090]	Time 0.746 (0.762)	Data 0.001 (0.001)	Loss 1.7705 (1.8689)	Prec@1 58.594 (51.285)	Prec@5 82.812 (80.949)
Epoch: [66][10610/14090]	Time 0.755 (0.762)	Data 0.001 (0.001)	Loss 1.5554 (1.8688)	Prec@1 61.719 (51.286)	Prec@5 85.156 (80.950)
Epoch: [66][10620/14090]	Time 0.750 (0.762)	Data 0.001 (0.001)	Loss 1.6354 (1.8689)	Prec@1 46.094 (51.286)	Prec@5 85.156 (80.948)
Epoch: [66][10630/14090]	Time 0.880 (0.762)	Data 0.001 (0.001)	Loss 1.6831 (1.8689)	Prec@1 56.250 (51.286)	Prec@5 83.594 (80.948)
Epoch: [66][10640/14090]	Time 0.727 (0.762)	Data 0.001 (0.001)	Loss 2.0546 (1.8689)	Prec@1 42.969 (51.285)	Prec@5 82.031 (80.948)
Epoch: [66][10650/14090]	Time 0.744 (0.762)	Data 0.001 (0.001)	Loss 2.0189 (1.8689)	Prec@1 50.000 (51.286)	Prec@5 77.344 (80.947)
Epoch: [66][10660/14090]	Time 0.745 (0.762)	Data 0.001 (0.001)	Loss 1.8762 (1.8690)	Prec@1 55.469 (51.285)	Prec@5 82.031 (80.946)
Epoch: [66][10670/14090]	Time 0.762 (0.762)	Data 0.001 (0.001)	Loss 2.0394 (1.8690)	Prec@1 51.562 (51.287)	Prec@5 78.125 (80.946)
Epoch: [66][10680/14090]	Time 0.756 (0.762)	Data 0.001 (0.001)	Loss 1.5299 (1.8690)	Prec@1 63.281 (51.287)	Prec@5 87.500 (80.946)
Epoch: [66][10690/14090]	Time 0.727 (0.762)	Data 0.001 (0.001)	Loss 1.8383 (1.8690)	Prec@1 50.781 (51.287)	Prec@5 85.156 (80.946)
Epoch: [66][10700/14090]	Time 0.864 (0.762)	Data 0.001 (0.001)	Loss 1.8108 (1.8690)	Prec@1 50.781 (51.287)	Prec@5 84.375 (80.945)
Epoch: [66][10710/14090]	Time 0.727 (0.762)	Data 0.001 (0.001)	Loss 1.6636 (1.8690)	Prec@1 53.125 (51.285)	Prec@5 87.500 (80.946)
Epoch: [66][10720/14090]	Time 0.771 (0.762)	Data 0.001 (0.001)	Loss 2.0353 (1.8690)	Prec@1 46.875 (51.284)	Prec@5 78.125 (80.946)
Epoch: [66][10730/14090]	Time 0.739 (0.762)	Data 0.001 (0.001)	Loss 1.8041 (1.8691)	Prec@1 53.125 (51.283)	Prec@5 81.250 (80.945)
Epoch: [66][10740/14090]	Time 0.754 (0.762)	Data 0.001 (0.001)	Loss 1.8811 (1.8690)	Prec@1 51.562 (51.283)	Prec@5 79.688 (80.946)
Epoch: [66][10750/14090]	Time 0.729 (0.762)	Data 0.001 (0.001)	Loss 1.9150 (1.8691)	Prec@1 50.781 (51.284)	Prec@5 78.906 (80.945)
Epoch: [66][10760/14090]	Time 0.766 (0.762)	Data 0.001 (0.001)	Loss 1.7790 (1.8690)	Prec@1 53.906 (51.284)	Prec@5 84.375 (80.947)
Epoch: [66][10770/14090]	Time 0.866 (0.762)	Data 0.001 (0.001)	Loss 1.7400 (1.8689)	Prec@1 57.812 (51.285)	Prec@5 83.594 (80.947)
Epoch: [66][10780/14090]	Time 0.724 (0.762)	Data 0.001 (0.001)	Loss 1.9183 (1.8688)	Prec@1 49.219 (51.288)	Prec@5 83.594 (80.949)
Epoch: [66][10790/14090]	Time 0.751 (0.762)	Data 0.001 (0.001)	Loss 1.8229 (1.8689)	Prec@1 60.156 (51.288)	Prec@5 78.125 (80.949)
Epoch: [66][10800/14090]	Time 0.729 (0.762)	Data 0.001 (0.001)	Loss 1.8931 (1.8689)	Prec@1 53.125 (51.287)	Prec@5 78.125 (80.948)
Epoch: [66][10810/14090]	Time 0.736 (0.762)	Data 0.001 (0.001)	Loss 1.9537 (1.8689)	Prec@1 52.344 (51.287)	Prec@5 79.688 (80.948)
Epoch: [66][10820/14090]	Time 0.736 (0.762)	Data 0.001 (0.001)	Loss 2.0583 (1.8689)	Prec@1 47.656 (51.288)	Prec@5 83.594 (80.950)
Epoch: [66][10830/14090]	Time 0.727 (0.762)	Data 0.001 (0.001)	Loss 1.8309 (1.8689)	Prec@1 53.125 (51.289)	Prec@5 83.594 (80.950)
Epoch: [66][10840/14090]	Time 0.876 (0.762)	Data 0.001 (0.001)	Loss 1.9871 (1.8689)	Prec@1 49.219 (51.288)	Prec@5 75.781 (80.950)
Epoch: [66][10850/14090]	Time 0.747 (0.762)	Data 0.001 (0.001)	Loss 1.9580 (1.8689)	Prec@1 47.656 (51.288)	Prec@5 78.125 (80.948)
Epoch: [66][10860/14090]	Time 0.723 (0.762)	Data 0.001 (0.001)	Loss 1.9426 (1.8689)	Prec@1 53.125 (51.287)	Prec@5 82.031 (80.947)
Epoch: [66][10870/14090]	Time 0.739 (0.762)	Data 0.001 (0.001)	Loss 1.6458 (1.8689)	Prec@1 56.250 (51.289)	Prec@5 82.812 (80.949)
Epoch: [66][10880/14090]	Time 0.739 (0.762)	Data 0.001 (0.001)	Loss 1.9710 (1.8689)	Prec@1 46.094 (51.290)	Prec@5 77.344 (80.949)
Epoch: [66][10890/14090]	Time 0.755 (0.762)	Data 0.001 (0.001)	Loss 2.0358 (1.8688)	Prec@1 52.344 (51.291)	Prec@5 79.688 (80.948)
Epoch: [66][10900/14090]	Time 0.733 (0.762)	Data 0.001 (0.001)	Loss 1.9640 (1.8689)	Prec@1 51.562 (51.290)	Prec@5 82.031 (80.948)
Epoch: [66][10910/14090]	Time 0.872 (0.762)	Data 0.001 (0.001)	Loss 1.9419 (1.8689)	Prec@1 45.312 (51.290)	Prec@5 79.688 (80.949)
Epoch: [66][10920/14090]	Time 0.743 (0.762)	Data 0.001 (0.001)	Loss 1.8422 (1.8689)	Prec@1 54.688 (51.289)	Prec@5 80.469 (80.949)
Epoch: [66][10930/14090]	Time 0.723 (0.762)	Data 0.001 (0.001)	Loss 1.8490 (1.8690)	Prec@1 49.219 (51.286)	Prec@5 80.469 (80.949)
Epoch: [66][10940/14090]	Time 0.763 (0.762)	Data 0.002 (0.001)	Loss 1.5103 (1.8689)	Prec@1 57.812 (51.290)	Prec@5 84.375 (80.949)
Epoch: [66][10950/14090]	Time 0.728 (0.762)	Data 0.001 (0.001)	Loss 1.9155 (1.8688)	Prec@1 52.344 (51.292)	Prec@5 82.812 (80.950)
Epoch: [66][10960/14090]	Time 0.754 (0.762)	Data 0.001 (0.001)	Loss 1.8222 (1.8688)	Prec@1 52.344 (51.292)	Prec@5 82.812 (80.950)
Epoch: [66][10970/14090]	Time 0.730 (0.762)	Data 0.001 (0.001)	Loss 1.8579 (1.8688)	Prec@1 50.781 (51.292)	Prec@5 81.250 (80.951)
Epoch: [66][10980/14090]	Time 0.852 (0.762)	Data 0.001 (0.001)	Loss 2.0545 (1.8687)	Prec@1 49.219 (51.294)	Prec@5 75.781 (80.952)
Epoch: [66][10990/14090]	Time 0.731 (0.762)	Data 0.001 (0.001)	Loss 1.8273 (1.8688)	Prec@1 52.344 (51.292)	Prec@5 80.469 (80.952)
Epoch: [66][11000/14090]	Time 0.750 (0.762)	Data 0.001 (0.001)	Loss 1.7862 (1.8687)	Prec@1 53.906 (51.293)	Prec@5 85.938 (80.953)
Epoch: [66][11010/14090]	Time 0.728 (0.762)	Data 0.001 (0.001)	Loss 1.7262 (1.8687)	Prec@1 53.906 (51.292)	Prec@5 82.031 (80.953)
Epoch: [66][11020/14090]	Time 0.761 (0.762)	Data 0.001 (0.001)	Loss 1.9647 (1.8687)	Prec@1 45.312 (51.291)	Prec@5 83.594 (80.956)
Epoch: [66][11030/14090]	Time 0.755 (0.762)	Data 0.001 (0.001)	Loss 1.8996 (1.8686)	Prec@1 50.000 (51.293)	Prec@5 82.031 (80.956)
Epoch: [66][11040/14090]	Time 0.733 (0.762)	Data 0.001 (0.001)	Loss 1.8581 (1.8687)	Prec@1 49.219 (51.293)	Prec@5 82.812 (80.956)
Epoch: [66][11050/14090]	Time 0.868 (0.762)	Data 0.002 (0.001)	Loss 1.9600 (1.8687)	Prec@1 48.438 (51.293)	Prec@5 79.688 (80.955)
Epoch: [66][11060/14090]	Time 0.743 (0.762)	Data 0.003 (0.001)	Loss 2.0527 (1.8687)	Prec@1 48.438 (51.292)	Prec@5 76.562 (80.955)
Epoch: [66][11070/14090]	Time 0.734 (0.762)	Data 0.001 (0.001)	Loss 1.9947 (1.8688)	Prec@1 46.875 (51.291)	Prec@5 78.125 (80.955)
Epoch: [66][11080/14090]	Time 0.751 (0.762)	Data 0.001 (0.001)	Loss 1.8523 (1.8687)	Prec@1 53.125 (51.292)	Prec@5 82.031 (80.955)
Epoch: [66][11090/14090]	Time 0.757 (0.762)	Data 0.001 (0.001)	Loss 1.8277 (1.8687)	Prec@1 51.562 (51.293)	Prec@5 79.688 (80.956)
Epoch: [66][11100/14090]	Time 0.728 (0.762)	Data 0.001 (0.001)	Loss 1.9811 (1.8688)	Prec@1 48.438 (51.290)	Prec@5 78.125 (80.954)
Epoch: [66][11110/14090]	Time 0.746 (0.762)	Data 0.001 (0.001)	Loss 2.0536 (1.8689)	Prec@1 44.531 (51.287)	Prec@5 76.562 (80.953)
Epoch: [66][11120/14090]	Time 0.851 (0.762)	Data 0.001 (0.001)	Loss 1.7018 (1.8688)	Prec@1 53.125 (51.287)	Prec@5 86.719 (80.954)
Epoch: [66][11130/14090]	Time 0.723 (0.762)	Data 0.001 (0.001)	Loss 1.8463 (1.8689)	Prec@1 53.125 (51.288)	Prec@5 86.719 (80.955)
Epoch: [66][11140/14090]	Time 0.738 (0.762)	Data 0.001 (0.001)	Loss 1.9321 (1.8688)	Prec@1 51.562 (51.288)	Prec@5 77.344 (80.955)
Epoch: [66][11150/14090]	Time 0.769 (0.762)	Data 0.001 (0.001)	Loss 1.8395 (1.8688)	Prec@1 51.562 (51.289)	Prec@5 84.375 (80.955)
Epoch: [66][11160/14090]	Time 0.775 (0.762)	Data 0.001 (0.001)	Loss 2.2180 (1.8689)	Prec@1 45.312 (51.288)	Prec@5 75.000 (80.954)
Epoch: [66][11170/14090]	Time 0.754 (0.762)	Data 0.001 (0.001)	Loss 1.9292 (1.8689)	Prec@1 46.094 (51.285)	Prec@5 82.812 (80.953)
Epoch: [66][11180/14090]	Time 0.750 (0.762)	Data 0.001 (0.001)	Loss 1.8731 (1.8689)	Prec@1 54.688 (51.287)	Prec@5 84.375 (80.953)
Epoch: [66][11190/14090]	Time 0.861 (0.762)	Data 0.001 (0.001)	Loss 1.9122 (1.8689)	Prec@1 46.875 (51.286)	Prec@5 79.688 (80.953)
Epoch: [66][11200/14090]	Time 0.728 (0.762)	Data 0.001 (0.001)	Loss 1.6845 (1.8689)	Prec@1 55.469 (51.287)	Prec@5 84.375 (80.952)
Epoch: [66][11210/14090]	Time 0.742 (0.762)	Data 0.001 (0.001)	Loss 1.8442 (1.8689)	Prec@1 51.562 (51.286)	Prec@5 79.688 (80.952)
Epoch: [66][11220/14090]	Time 0.763 (0.762)	Data 0.001 (0.001)	Loss 2.0638 (1.8689)	Prec@1 46.094 (51.286)	Prec@5 77.344 (80.952)
Epoch: [66][11230/14090]	Time 0.749 (0.762)	Data 0.001 (0.001)	Loss 2.0530 (1.8689)	Prec@1 47.656 (51.285)	Prec@5 77.344 (80.952)
Epoch: [66][11240/14090]	Time 0.764 (0.762)	Data 0.001 (0.001)	Loss 1.9175 (1.8689)	Prec@1 50.000 (51.286)	Prec@5 77.344 (80.951)
Epoch: [66][11250/14090]	Time 0.724 (0.762)	Data 0.001 (0.001)	Loss 1.8854 (1.8689)	Prec@1 50.000 (51.286)	Prec@5 82.031 (80.951)
Epoch: [66][11260/14090]	Time 0.874 (0.762)	Data 0.001 (0.001)	Loss 1.9053 (1.8689)	Prec@1 53.125 (51.286)	Prec@5 77.344 (80.952)
Epoch: [66][11270/14090]	Time 0.734 (0.762)	Data 0.001 (0.001)	Loss 1.8857 (1.8690)	Prec@1 45.312 (51.284)	Prec@5 81.250 (80.951)
Epoch: [66][11280/14090]	Time 0.754 (0.762)	Data 0.001 (0.001)	Loss 2.0605 (1.8690)	Prec@1 42.969 (51.283)	Prec@5 75.781 (80.951)
Epoch: [66][11290/14090]	Time 0.750 (0.762)	Data 0.001 (0.001)	Loss 1.6802 (1.8690)	Prec@1 53.906 (51.283)	Prec@5 85.156 (80.951)
Epoch: [66][11300/14090]	Time 0.729 (0.762)	Data 0.001 (0.001)	Loss 1.8111 (1.8690)	Prec@1 52.344 (51.283)	Prec@5 85.156 (80.951)
Epoch: [66][11310/14090]	Time 0.759 (0.762)	Data 0.001 (0.001)	Loss 1.5462 (1.8690)	Prec@1 62.500 (51.283)	Prec@5 89.062 (80.950)
Epoch: [66][11320/14090]	Time 0.731 (0.762)	Data 0.001 (0.001)	Loss 1.8239 (1.8690)	Prec@1 52.344 (51.284)	Prec@5 80.469 (80.950)
Epoch: [66][11330/14090]	Time 0.855 (0.762)	Data 0.001 (0.001)	Loss 1.8228 (1.8689)	Prec@1 45.312 (51.285)	Prec@5 82.031 (80.952)
Epoch: [66][11340/14090]	Time 0.748 (0.762)	Data 0.001 (0.001)	Loss 1.8877 (1.8689)	Prec@1 55.469 (51.286)	Prec@5 79.688 (80.954)
Epoch: [66][11350/14090]	Time 0.746 (0.762)	Data 0.001 (0.001)	Loss 1.8912 (1.8689)	Prec@1 51.562 (51.286)	Prec@5 81.250 (80.953)
Epoch: [66][11360/14090]	Time 0.741 (0.762)	Data 0.001 (0.001)	Loss 1.7426 (1.8689)	Prec@1 57.031 (51.288)	Prec@5 82.812 (80.954)
Epoch: [66][11370/14090]	Time 0.763 (0.762)	Data 0.001 (0.001)	Loss 1.8119 (1.8689)	Prec@1 53.125 (51.287)	Prec@5 84.375 (80.954)
Epoch: [66][11380/14090]	Time 0.725 (0.762)	Data 0.001 (0.001)	Loss 1.8604 (1.8689)	Prec@1 51.562 (51.287)	Prec@5 82.031 (80.955)
Epoch: [66][11390/14090]	Time 0.738 (0.762)	Data 0.001 (0.001)	Loss 1.8618 (1.8688)	Prec@1 46.875 (51.289)	Prec@5 82.812 (80.956)
Epoch: [66][11400/14090]	Time 0.870 (0.762)	Data 0.001 (0.001)	Loss 1.7822 (1.8688)	Prec@1 57.031 (51.290)	Prec@5 82.031 (80.957)
Epoch: [66][11410/14090]	Time 0.753 (0.762)	Data 0.001 (0.001)	Loss 1.7968 (1.8688)	Prec@1 50.000 (51.290)	Prec@5 83.594 (80.958)
Epoch: [66][11420/14090]	Time 0.782 (0.762)	Data 0.001 (0.001)	Loss 1.6840 (1.8688)	Prec@1 54.688 (51.289)	Prec@5 84.375 (80.957)
Epoch: [66][11430/14090]	Time 0.738 (0.762)	Data 0.001 (0.001)	Loss 2.0137 (1.8688)	Prec@1 50.000 (51.289)	Prec@5 78.906 (80.956)
Epoch: [66][11440/14090]	Time 0.726 (0.762)	Data 0.001 (0.001)	Loss 1.9960 (1.8689)	Prec@1 43.750 (51.288)	Prec@5 81.250 (80.954)
Epoch: [66][11450/14090]	Time 0.747 (0.762)	Data 0.001 (0.001)	Loss 1.9498 (1.8690)	Prec@1 50.000 (51.286)	Prec@5 78.125 (80.953)
Epoch: [66][11460/14090]	Time 0.741 (0.762)	Data 0.001 (0.001)	Loss 1.8094 (1.8691)	Prec@1 53.125 (51.284)	Prec@5 82.031 (80.951)
Epoch: [66][11470/14090]	Time 0.874 (0.762)	Data 0.001 (0.001)	Loss 1.8305 (1.8691)	Prec@1 51.562 (51.283)	Prec@5 83.594 (80.950)
Epoch: [66][11480/14090]	Time 0.747 (0.762)	Data 0.001 (0.001)	Loss 1.9095 (1.8691)	Prec@1 50.781 (51.284)	Prec@5 78.125 (80.950)
Epoch: [66][11490/14090]	Time 0.731 (0.762)	Data 0.001 (0.001)	Loss 1.9293 (1.8691)	Prec@1 50.781 (51.285)	Prec@5 75.781 (80.950)
Epoch: [66][11500/14090]	Time 0.742 (0.762)	Data 0.001 (0.001)	Loss 1.8108 (1.8691)	Prec@1 54.688 (51.286)	Prec@5 80.469 (80.951)
Epoch: [66][11510/14090]	Time 0.735 (0.762)	Data 0.001 (0.001)	Loss 1.5781 (1.8691)	Prec@1 58.594 (51.285)	Prec@5 82.031 (80.950)
Epoch: [66][11520/14090]	Time 0.752 (0.762)	Data 0.001 (0.001)	Loss 1.5651 (1.8690)	Prec@1 59.375 (51.287)	Prec@5 83.594 (80.951)
Epoch: [66][11530/14090]	Time 0.777 (0.762)	Data 0.001 (0.001)	Loss 1.8867 (1.8691)	Prec@1 50.781 (51.286)	Prec@5 83.594 (80.949)
Epoch: [66][11540/14090]	Time 0.858 (0.762)	Data 0.001 (0.001)	Loss 1.8805 (1.8691)	Prec@1 52.344 (51.286)	Prec@5 82.031 (80.949)
Epoch: [66][11550/14090]	Time 0.780 (0.762)	Data 0.001 (0.001)	Loss 1.7475 (1.8692)	Prec@1 51.562 (51.285)	Prec@5 83.594 (80.947)
Epoch: [66][11560/14090]	Time 0.752 (0.762)	Data 0.001 (0.001)	Loss 1.9777 (1.8692)	Prec@1 45.312 (51.283)	Prec@5 82.812 (80.947)
Epoch: [66][11570/14090]	Time 0.772 (0.762)	Data 0.001 (0.001)	Loss 1.8677 (1.8692)	Prec@1 53.906 (51.284)	Prec@5 80.469 (80.947)
Epoch: [66][11580/14090]	Time 0.750 (0.762)	Data 0.001 (0.001)	Loss 1.6947 (1.8691)	Prec@1 57.812 (51.288)	Prec@5 85.156 (80.948)
Epoch: [66][11590/14090]	Time 0.764 (0.762)	Data 0.001 (0.001)	Loss 1.7470 (1.8691)	Prec@1 50.000 (51.286)	Prec@5 83.594 (80.948)
Epoch: [66][11600/14090]	Time 0.749 (0.762)	Data 0.001 (0.001)	Loss 1.7637 (1.8692)	Prec@1 51.562 (51.286)	Prec@5 80.469 (80.947)
Epoch: [66][11610/14090]	Time 0.880 (0.762)	Data 0.001 (0.001)	Loss 1.8764 (1.8692)	Prec@1 48.438 (51.285)	Prec@5 81.250 (80.947)
Epoch: [66][11620/14090]	Time 0.787 (0.762)	Data 0.001 (0.001)	Loss 1.9895 (1.8692)	Prec@1 48.438 (51.284)	Prec@5 75.781 (80.947)
Epoch: [66][11630/14090]	Time 0.767 (0.762)	Data 0.001 (0.001)	Loss 1.8128 (1.8692)	Prec@1 55.469 (51.284)	Prec@5 80.469 (80.947)
Epoch: [66][11640/14090]	Time 0.729 (0.762)	Data 0.001 (0.001)	Loss 1.5378 (1.8691)	Prec@1 55.469 (51.286)	Prec@5 85.938 (80.950)
Epoch: [66][11650/14090]	Time 0.723 (0.762)	Data 0.001 (0.001)	Loss 1.9656 (1.8692)	Prec@1 51.562 (51.284)	Prec@5 79.688 (80.948)
Epoch: [66][11660/14090]	Time 0.752 (0.762)	Data 0.001 (0.001)	Loss 1.6943 (1.8692)	Prec@1 57.031 (51.284)	Prec@5 80.469 (80.948)
Epoch: [66][11670/14090]	Time 0.773 (0.762)	Data 0.001 (0.001)	Loss 1.8817 (1.8691)	Prec@1 49.219 (51.285)	Prec@5 82.812 (80.950)
Epoch: [66][11680/14090]	Time 0.857 (0.762)	Data 0.001 (0.001)	Loss 1.4763 (1.8691)	Prec@1 58.594 (51.285)	Prec@5 89.844 (80.951)
Epoch: [66][11690/14090]	Time 0.780 (0.762)	Data 0.001 (0.001)	Loss 1.9053 (1.8691)	Prec@1 50.000 (51.284)	Prec@5 81.250 (80.951)
Epoch: [66][11700/14090]	Time 0.782 (0.762)	Data 0.001 (0.001)	Loss 1.6741 (1.8691)	Prec@1 53.125 (51.284)	Prec@5 84.375 (80.951)
Epoch: [66][11710/14090]	Time 0.743 (0.762)	Data 0.001 (0.001)	Loss 1.7469 (1.8691)	Prec@1 54.688 (51.284)	Prec@5 83.594 (80.951)
Epoch: [66][11720/14090]	Time 0.738 (0.762)	Data 0.001 (0.001)	Loss 2.0102 (1.8692)	Prec@1 44.531 (51.283)	Prec@5 81.250 (80.950)
Epoch: [66][11730/14090]	Time 0.758 (0.762)	Data 0.001 (0.001)	Loss 2.3004 (1.8692)	Prec@1 47.656 (51.281)	Prec@5 72.656 (80.949)
Epoch: [66][11740/14090]	Time 0.763 (0.762)	Data 0.001 (0.001)	Loss 1.4936 (1.8692)	Prec@1 57.812 (51.282)	Prec@5 86.719 (80.949)
Epoch: [66][11750/14090]	Time 0.862 (0.762)	Data 0.001 (0.001)	Loss 1.8355 (1.8692)	Prec@1 51.562 (51.283)	Prec@5 80.469 (80.948)
Epoch: [66][11760/14090]	Time 0.747 (0.762)	Data 0.001 (0.001)	Loss 2.1622 (1.8693)	Prec@1 43.750 (51.280)	Prec@5 76.562 (80.946)
Epoch: [66][11770/14090]	Time 0.774 (0.762)	Data 0.001 (0.001)	Loss 1.8865 (1.8693)	Prec@1 49.219 (51.278)	Prec@5 81.250 (80.946)
Epoch: [66][11780/14090]	Time 0.736 (0.762)	Data 0.001 (0.001)	Loss 2.1652 (1.8693)	Prec@1 42.969 (51.278)	Prec@5 76.562 (80.945)
Epoch: [66][11790/14090]	Time 0.730 (0.762)	Data 0.001 (0.001)	Loss 2.0348 (1.8694)	Prec@1 45.312 (51.276)	Prec@5 78.906 (80.945)
Epoch: [66][11800/14090]	Time 0.754 (0.762)	Data 0.001 (0.001)	Loss 2.0068 (1.8694)	Prec@1 49.219 (51.277)	Prec@5 79.688 (80.944)
Epoch: [66][11810/14090]	Time 0.780 (0.762)	Data 0.001 (0.001)	Loss 1.8556 (1.8694)	Prec@1 49.219 (51.275)	Prec@5 76.562 (80.942)
Epoch: [66][11820/14090]	Time 0.862 (0.762)	Data 0.001 (0.001)	Loss 1.6504 (1.8694)	Prec@1 59.375 (51.276)	Prec@5 85.938 (80.943)
Epoch: [66][11830/14090]	Time 0.752 (0.762)	Data 0.001 (0.001)	Loss 1.7286 (1.8694)	Prec@1 54.688 (51.276)	Prec@5 87.500 (80.945)
Epoch: [66][11840/14090]	Time 0.753 (0.762)	Data 0.001 (0.001)	Loss 1.9990 (1.8694)	Prec@1 46.094 (51.275)	Prec@5 82.031 (80.946)
Epoch: [66][11850/14090]	Time 0.751 (0.762)	Data 0.001 (0.001)	Loss 1.7741 (1.8694)	Prec@1 53.906 (51.274)	Prec@5 83.594 (80.945)
Epoch: [66][11860/14090]	Time 0.736 (0.762)	Data 0.001 (0.001)	Loss 1.9097 (1.8695)	Prec@1 50.000 (51.272)	Prec@5 85.156 (80.943)
Epoch: [66][11870/14090]	Time 0.746 (0.762)	Data 0.001 (0.001)	Loss 1.8614 (1.8695)	Prec@1 45.312 (51.272)	Prec@5 82.812 (80.943)
Epoch: [66][11880/14090]	Time 0.771 (0.762)	Data 0.001 (0.001)	Loss 1.7915 (1.8695)	Prec@1 51.562 (51.272)	Prec@5 82.031 (80.943)
Epoch: [66][11890/14090]	Time 0.873 (0.762)	Data 0.001 (0.001)	Loss 1.5571 (1.8694)	Prec@1 52.344 (51.272)	Prec@5 87.500 (80.944)
Epoch: [66][11900/14090]	Time 0.751 (0.762)	Data 0.001 (0.001)	Loss 2.0754 (1.8695)	Prec@1 46.875 (51.270)	Prec@5 75.781 (80.943)
Epoch: [66][11910/14090]	Time 0.738 (0.762)	Data 0.001 (0.001)	Loss 1.7161 (1.8696)	Prec@1 57.031 (51.270)	Prec@5 85.156 (80.942)
Epoch: [66][11920/14090]	Time 0.742 (0.762)	Data 0.001 (0.001)	Loss 2.1913 (1.8696)	Prec@1 41.406 (51.268)	Prec@5 78.125 (80.942)
Epoch: [66][11930/14090]	Time 0.741 (0.762)	Data 0.001 (0.001)	Loss 1.8415 (1.8696)	Prec@1 54.688 (51.268)	Prec@5 80.469 (80.943)
Epoch: [66][11940/14090]	Time 0.721 (0.762)	Data 0.001 (0.001)	Loss 1.9446 (1.8696)	Prec@1 52.344 (51.267)	Prec@5 78.125 (80.944)
Epoch: [66][11950/14090]	Time 0.769 (0.762)	Data 0.001 (0.001)	Loss 2.0754 (1.8697)	Prec@1 53.125 (51.266)	Prec@5 75.000 (80.944)
Epoch: [66][11960/14090]	Time 0.876 (0.762)	Data 0.001 (0.001)	Loss 1.9257 (1.8696)	Prec@1 50.781 (51.267)	Prec@5 77.344 (80.945)
Epoch: [66][11970/14090]	Time 0.750 (0.762)	Data 0.001 (0.001)	Loss 1.7395 (1.8696)	Prec@1 57.812 (51.267)	Prec@5 84.375 (80.946)
Epoch: [66][11980/14090]	Time 0.730 (0.762)	Data 0.001 (0.001)	Loss 2.1672 (1.8697)	Prec@1 43.750 (51.266)	Prec@5 80.469 (80.945)
Epoch: [66][11990/14090]	Time 0.750 (0.762)	Data 0.001 (0.001)	Loss 2.0869 (1.8697)	Prec@1 47.656 (51.265)	Prec@5 78.906 (80.944)
Epoch: [66][12000/14090]	Time 0.759 (0.762)	Data 0.001 (0.001)	Loss 1.8132 (1.8697)	Prec@1 50.781 (51.266)	Prec@5 84.375 (80.944)
Epoch: [66][12010/14090]	Time 0.738 (0.762)	Data 0.001 (0.001)	Loss 1.7899 (1.8697)	Prec@1 52.344 (51.265)	Prec@5 82.812 (80.944)
Epoch: [66][12020/14090]	Time 0.746 (0.762)	Data 0.001 (0.001)	Loss 2.4102 (1.8698)	Prec@1 32.031 (51.263)	Prec@5 66.406 (80.942)
Epoch: [66][12030/14090]	Time 0.864 (0.762)	Data 0.001 (0.001)	Loss 2.1070 (1.8698)	Prec@1 48.438 (51.262)	Prec@5 80.469 (80.942)
Epoch: [66][12040/14090]	Time 0.723 (0.762)	Data 0.001 (0.001)	Loss 1.9462 (1.8697)	Prec@1 48.438 (51.264)	Prec@5 77.344 (80.943)
Epoch: [66][12050/14090]	Time 0.776 (0.762)	Data 0.001 (0.001)	Loss 1.8152 (1.8697)	Prec@1 49.219 (51.266)	Prec@5 82.812 (80.945)
Epoch: [66][12060/14090]	Time 0.743 (0.762)	Data 0.001 (0.001)	Loss 1.7316 (1.8697)	Prec@1 53.125 (51.267)	Prec@5 85.938 (80.944)
Epoch: [66][12070/14090]	Time 0.745 (0.762)	Data 0.001 (0.001)	Loss 2.2824 (1.8697)	Prec@1 40.625 (51.266)	Prec@5 71.094 (80.943)
Epoch: [66][12080/14090]	Time 0.744 (0.762)	Data 0.001 (0.001)	Loss 2.2001 (1.8698)	Prec@1 39.844 (51.264)	Prec@5 77.344 (80.942)
Epoch: [66][12090/14090]	Time 0.772 (0.762)	Data 0.001 (0.001)	Loss 1.5958 (1.8698)	Prec@1 56.250 (51.265)	Prec@5 83.594 (80.943)
Epoch: [66][12100/14090]	Time 0.862 (0.762)	Data 0.001 (0.001)	Loss 1.8276 (1.8698)	Prec@1 52.344 (51.264)	Prec@5 82.031 (80.941)
Epoch: [66][12110/14090]	Time 0.737 (0.762)	Data 0.001 (0.001)	Loss 1.8382 (1.8698)	Prec@1 50.000 (51.263)	Prec@5 82.812 (80.941)
Epoch: [66][12120/14090]	Time 0.748 (0.762)	Data 0.001 (0.001)	Loss 1.6523 (1.8698)	Prec@1 50.000 (51.262)	Prec@5 87.500 (80.942)
Epoch: [66][12130/14090]	Time 0.773 (0.762)	Data 0.001 (0.001)	Loss 1.7294 (1.8698)	Prec@1 56.250 (51.261)	Prec@5 80.469 (80.940)
Epoch: [66][12140/14090]	Time 0.780 (0.762)	Data 0.001 (0.001)	Loss 1.8310 (1.8698)	Prec@1 49.219 (51.262)	Prec@5 83.594 (80.941)
Epoch: [66][12150/14090]	Time 0.737 (0.762)	Data 0.001 (0.001)	Loss 1.8512 (1.8698)	Prec@1 47.656 (51.262)	Prec@5 83.594 (80.941)
Epoch: [66][12160/14090]	Time 0.730 (0.762)	Data 0.001 (0.001)	Loss 1.7439 (1.8697)	Prec@1 53.906 (51.262)	Prec@5 82.812 (80.941)
Epoch: [66][12170/14090]	Time 0.900 (0.762)	Data 0.001 (0.001)	Loss 1.7682 (1.8697)	Prec@1 56.250 (51.262)	Prec@5 84.375 (80.940)
Epoch: [66][12180/14090]	Time 0.763 (0.762)	Data 0.001 (0.001)	Loss 1.7519 (1.8698)	Prec@1 51.562 (51.260)	Prec@5 79.688 (80.940)
Epoch: [66][12190/14090]	Time 0.750 (0.762)	Data 0.001 (0.001)	Loss 2.1490 (1.8699)	Prec@1 47.656 (51.258)	Prec@5 78.125 (80.939)
Epoch: [66][12200/14090]	Time 0.732 (0.762)	Data 0.001 (0.001)	Loss 1.9556 (1.8699)	Prec@1 46.094 (51.258)	Prec@5 82.031 (80.938)
Epoch: [66][12210/14090]	Time 0.719 (0.762)	Data 0.001 (0.001)	Loss 1.8599 (1.8699)	Prec@1 54.688 (51.258)	Prec@5 82.812 (80.938)
Epoch: [66][12220/14090]	Time 0.730 (0.762)	Data 0.001 (0.001)	Loss 1.7934 (1.8699)	Prec@1 52.344 (51.258)	Prec@5 79.688 (80.938)
Epoch: [66][12230/14090]	Time 0.761 (0.762)	Data 0.001 (0.001)	Loss 1.6678 (1.8699)	Prec@1 56.250 (51.258)	Prec@5 83.594 (80.937)
Epoch: [66][12240/14090]	Time 0.814 (0.762)	Data 0.001 (0.001)	Loss 1.9567 (1.8700)	Prec@1 46.094 (51.257)	Prec@5 75.781 (80.936)
Epoch: [66][12250/14090]	Time 0.754 (0.762)	Data 0.001 (0.001)	Loss 1.8286 (1.8699)	Prec@1 50.000 (51.256)	Prec@5 82.031 (80.936)
Epoch: [66][12260/14090]	Time 0.732 (0.762)	Data 0.001 (0.001)	Loss 2.0466 (1.8699)	Prec@1 41.406 (51.256)	Prec@5 78.906 (80.936)
Epoch: [66][12270/14090]	Time 0.735 (0.762)	Data 0.001 (0.001)	Loss 1.8476 (1.8699)	Prec@1 55.469 (51.256)	Prec@5 82.812 (80.937)
Epoch: [66][12280/14090]	Time 0.732 (0.761)	Data 0.001 (0.001)	Loss 1.8482 (1.8699)	Prec@1 55.469 (51.258)	Prec@5 77.344 (80.937)
Epoch: [66][12290/14090]	Time 0.755 (0.762)	Data 0.001 (0.001)	Loss 1.6857 (1.8699)	Prec@1 53.125 (51.258)	Prec@5 82.812 (80.937)
Epoch: [66][12300/14090]	Time 0.776 (0.762)	Data 0.001 (0.001)	Loss 1.9233 (1.8699)	Prec@1 50.000 (51.258)	Prec@5 78.906 (80.936)
Epoch: [66][12310/14090]	Time 0.861 (0.762)	Data 0.001 (0.001)	Loss 1.8567 (1.8699)	Prec@1 49.219 (51.258)	Prec@5 78.906 (80.935)
Epoch: [66][12320/14090]	Time 0.747 (0.762)	Data 0.001 (0.001)	Loss 1.7743 (1.8699)	Prec@1 56.250 (51.259)	Prec@5 80.469 (80.935)
Epoch: [66][12330/14090]	Time 0.739 (0.761)	Data 0.001 (0.001)	Loss 1.7572 (1.8699)	Prec@1 55.469 (51.259)	Prec@5 84.375 (80.935)
Epoch: [66][12340/14090]	Time 0.759 (0.762)	Data 0.001 (0.001)	Loss 1.8630 (1.8699)	Prec@1 58.594 (51.259)	Prec@5 82.812 (80.936)
Epoch: [66][12350/14090]	Time 0.777 (0.762)	Data 0.001 (0.001)	Loss 1.8212 (1.8699)	Prec@1 51.562 (51.259)	Prec@5 81.250 (80.936)
Epoch: [66][12360/14090]	Time 0.738 (0.762)	Data 0.000 (0.001)	Loss 2.0384 (1.8699)	Prec@1 46.094 (51.257)	Prec@5 80.469 (80.936)
Epoch: [66][12370/14090]	Time 0.743 (0.762)	Data 0.001 (0.001)	Loss 1.9896 (1.8699)	Prec@1 51.562 (51.257)	Prec@5 78.906 (80.937)
Epoch: [66][12380/14090]	Time 0.862 (0.762)	Data 0.001 (0.001)	Loss 2.0269 (1.8699)	Prec@1 48.438 (51.256)	Prec@5 73.438 (80.937)
Epoch: [66][12390/14090]	Time 0.730 (0.761)	Data 0.001 (0.001)	Loss 1.8433 (1.8699)	Prec@1 53.125 (51.255)	Prec@5 79.688 (80.938)
Epoch: [66][12400/14090]	Time 0.727 (0.761)	Data 0.001 (0.001)	Loss 1.9233 (1.8699)	Prec@1 51.562 (51.255)	Prec@5 77.344 (80.938)
Epoch: [66][12410/14090]	Time 0.736 (0.761)	Data 0.001 (0.001)	Loss 1.7230 (1.8700)	Prec@1 52.344 (51.254)	Prec@5 85.156 (80.937)
Epoch: [66][12420/14090]	Time 0.751 (0.761)	Data 0.001 (0.001)	Loss 2.0024 (1.8700)	Prec@1 50.781 (51.253)	Prec@5 77.344 (80.936)
Epoch: [66][12430/14090]	Time 0.750 (0.761)	Data 0.001 (0.001)	Loss 1.9705 (1.8701)	Prec@1 49.219 (51.252)	Prec@5 83.594 (80.935)
Epoch: [66][12440/14090]	Time 0.733 (0.761)	Data 0.001 (0.001)	Loss 1.8565 (1.8700)	Prec@1 50.781 (51.252)	Prec@5 84.375 (80.936)
Epoch: [66][12450/14090]	Time 0.910 (0.761)	Data 0.001 (0.001)	Loss 1.7710 (1.8700)	Prec@1 50.781 (51.252)	Prec@5 84.375 (80.936)
Epoch: [66][12460/14090]	Time 0.751 (0.761)	Data 0.001 (0.001)	Loss 1.9078 (1.8700)	Prec@1 50.000 (51.254)	Prec@5 81.250 (80.936)
Epoch: [66][12470/14090]	Time 0.743 (0.761)	Data 0.001 (0.001)	Loss 1.9702 (1.8701)	Prec@1 48.438 (51.254)	Prec@5 81.250 (80.935)
Epoch: [66][12480/14090]	Time 0.740 (0.761)	Data 0.001 (0.001)	Loss 2.0180 (1.8701)	Prec@1 47.656 (51.253)	Prec@5 81.250 (80.935)
Epoch: [66][12490/14090]	Time 0.753 (0.761)	Data 0.001 (0.001)	Loss 1.9503 (1.8700)	Prec@1 50.000 (51.254)	Prec@5 78.906 (80.935)
Epoch: [66][12500/14090]	Time 0.755 (0.761)	Data 0.001 (0.001)	Loss 1.8538 (1.8700)	Prec@1 52.344 (51.255)	Prec@5 79.688 (80.936)
Epoch: [66][12510/14090]	Time 0.763 (0.761)	Data 0.001 (0.001)	Loss 1.9717 (1.8700)	Prec@1 50.781 (51.254)	Prec@5 81.250 (80.937)
Epoch: [66][12520/14090]	Time 0.857 (0.761)	Data 0.001 (0.001)	Loss 1.9612 (1.8700)	Prec@1 46.875 (51.254)	Prec@5 84.375 (80.936)
Epoch: [66][12530/14090]	Time 0.738 (0.761)	Data 0.001 (0.001)	Loss 1.7113 (1.8700)	Prec@1 53.125 (51.254)	Prec@5 82.031 (80.936)
Epoch: [66][12540/14090]	Time 0.728 (0.761)	Data 0.001 (0.001)	Loss 1.9574 (1.8700)	Prec@1 51.562 (51.256)	Prec@5 78.906 (80.936)
Epoch: [66][12550/14090]	Time 0.750 (0.761)	Data 0.001 (0.001)	Loss 1.6485 (1.8701)	Prec@1 55.469 (51.255)	Prec@5 83.594 (80.935)
Epoch: [66][12560/14090]	Time 0.734 (0.761)	Data 0.001 (0.001)	Loss 1.9472 (1.8701)	Prec@1 48.438 (51.255)	Prec@5 80.469 (80.935)
Epoch: [66][12570/14090]	Time 0.762 (0.761)	Data 0.001 (0.001)	Loss 1.8880 (1.8700)	Prec@1 51.562 (51.258)	Prec@5 81.250 (80.936)
Epoch: [66][12580/14090]	Time 0.778 (0.761)	Data 0.001 (0.001)	Loss 1.7626 (1.8700)	Prec@1 54.688 (51.258)	Prec@5 79.688 (80.936)
Epoch: [66][12590/14090]	Time 0.842 (0.761)	Data 0.001 (0.001)	Loss 1.9093 (1.8700)	Prec@1 48.438 (51.258)	Prec@5 78.906 (80.936)
Epoch: [66][12600/14090]	Time 0.726 (0.761)	Data 0.001 (0.001)	Loss 1.8836 (1.8701)	Prec@1 51.562 (51.257)	Prec@5 82.031 (80.935)
Epoch: [66][12610/14090]	Time 0.744 (0.761)	Data 0.001 (0.001)	Loss 1.8816 (1.8701)	Prec@1 52.344 (51.255)	Prec@5 79.688 (80.935)
Epoch: [66][12620/14090]	Time 0.727 (0.761)	Data 0.001 (0.001)	Loss 1.7986 (1.8701)	Prec@1 50.781 (51.255)	Prec@5 82.031 (80.934)
Epoch: [66][12630/14090]	Time 0.747 (0.761)	Data 0.001 (0.001)	Loss 2.0915 (1.8701)	Prec@1 50.781 (51.257)	Prec@5 77.344 (80.934)
Epoch: [66][12640/14090]	Time 0.731 (0.761)	Data 0.001 (0.001)	Loss 1.9189 (1.8702)	Prec@1 50.000 (51.255)	Prec@5 80.469 (80.932)
Epoch: [66][12650/14090]	Time 0.719 (0.761)	Data 0.001 (0.001)	Loss 1.8634 (1.8702)	Prec@1 50.000 (51.253)	Prec@5 82.031 (80.932)
Epoch: [66][12660/14090]	Time 0.867 (0.761)	Data 0.001 (0.001)	Loss 1.8434 (1.8702)	Prec@1 53.125 (51.254)	Prec@5 82.812 (80.933)
Epoch: [66][12670/14090]	Time 0.740 (0.761)	Data 0.001 (0.001)	Loss 1.7727 (1.8701)	Prec@1 55.469 (51.258)	Prec@5 83.594 (80.934)
Epoch: [66][12680/14090]	Time 0.731 (0.761)	Data 0.001 (0.001)	Loss 1.7852 (1.8701)	Prec@1 47.656 (51.257)	Prec@5 83.594 (80.935)
Epoch: [66][12690/14090]	Time 0.722 (0.761)	Data 0.001 (0.001)	Loss 2.0164 (1.8702)	Prec@1 40.625 (51.254)	Prec@5 78.125 (80.933)
Epoch: [66][12700/14090]	Time 0.738 (0.761)	Data 0.001 (0.001)	Loss 1.8376 (1.8703)	Prec@1 54.688 (51.253)	Prec@5 82.812 (80.932)
Epoch: [66][12710/14090]	Time 0.760 (0.761)	Data 0.001 (0.001)	Loss 2.0724 (1.8703)	Prec@1 43.750 (51.252)	Prec@5 77.344 (80.931)
Epoch: [66][12720/14090]	Time 0.765 (0.761)	Data 0.001 (0.001)	Loss 1.9205 (1.8704)	Prec@1 50.000 (51.251)	Prec@5 77.344 (80.931)
Epoch: [66][12730/14090]	Time 0.864 (0.761)	Data 0.001 (0.001)	Loss 1.9081 (1.8704)	Prec@1 53.906 (51.251)	Prec@5 77.344 (80.930)
Epoch: [66][12740/14090]	Time 0.743 (0.761)	Data 0.001 (0.001)	Loss 1.5058 (1.8703)	Prec@1 59.375 (51.253)	Prec@5 82.031 (80.931)
Epoch: [66][12750/14090]	Time 0.751 (0.761)	Data 0.001 (0.001)	Loss 2.0399 (1.8703)	Prec@1 45.312 (51.252)	Prec@5 78.125 (80.931)
Epoch: [66][12760/14090]	Time 0.785 (0.761)	Data 0.001 (0.001)	Loss 1.7102 (1.8702)	Prec@1 54.688 (51.254)	Prec@5 82.812 (80.932)
Epoch: [66][12770/14090]	Time 0.748 (0.761)	Data 0.001 (0.001)	Loss 1.6012 (1.8703)	Prec@1 57.812 (51.255)	Prec@5 84.375 (80.932)
Epoch: [66][12780/14090]	Time 0.760 (0.761)	Data 0.001 (0.001)	Loss 1.6657 (1.8703)	Prec@1 52.344 (51.254)	Prec@5 84.375 (80.932)
Epoch: [66][12790/14090]	Time 0.743 (0.761)	Data 0.001 (0.001)	Loss 1.9714 (1.8703)	Prec@1 46.875 (51.254)	Prec@5 77.344 (80.931)
Epoch: [66][12800/14090]	Time 0.818 (0.761)	Data 0.001 (0.001)	Loss 1.7724 (1.8703)	Prec@1 50.000 (51.255)	Prec@5 82.812 (80.932)
Epoch: [66][12810/14090]	Time 0.725 (0.761)	Data 0.001 (0.001)	Loss 1.6702 (1.8703)	Prec@1 50.781 (51.255)	Prec@5 85.156 (80.933)
Epoch: [66][12820/14090]	Time 0.761 (0.761)	Data 0.001 (0.001)	Loss 2.1086 (1.8703)	Prec@1 46.094 (51.255)	Prec@5 76.562 (80.932)
Epoch: [66][12830/14090]	Time 0.770 (0.761)	Data 0.001 (0.001)	Loss 1.8279 (1.8703)	Prec@1 46.875 (51.253)	Prec@5 84.375 (80.931)
Epoch: [66][12840/14090]	Time 0.730 (0.761)	Data 0.001 (0.001)	Loss 1.7363 (1.8704)	Prec@1 50.781 (51.252)	Prec@5 82.812 (80.931)
Epoch: [66][12850/14090]	Time 0.728 (0.761)	Data 0.001 (0.001)	Loss 2.0050 (1.8704)	Prec@1 46.875 (51.251)	Prec@5 76.562 (80.930)
Epoch: [66][12860/14090]	Time 0.730 (0.761)	Data 0.001 (0.001)	Loss 1.7535 (1.8704)	Prec@1 54.688 (51.251)	Prec@5 83.594 (80.929)
Epoch: [66][12870/14090]	Time 0.864 (0.761)	Data 0.001 (0.001)	Loss 1.6820 (1.8704)	Prec@1 60.938 (51.251)	Prec@5 85.156 (80.929)
Epoch: [66][12880/14090]	Time 0.731 (0.761)	Data 0.001 (0.001)	Loss 1.8107 (1.8704)	Prec@1 46.094 (51.251)	Prec@5 86.719 (80.931)
Epoch: [66][12890/14090]	Time 0.755 (0.761)	Data 0.001 (0.001)	Loss 1.7307 (1.8703)	Prec@1 53.125 (51.251)	Prec@5 82.031 (80.931)
Epoch: [66][12900/14090]	Time 0.741 (0.761)	Data 0.001 (0.001)	Loss 1.9205 (1.8704)	Prec@1 49.219 (51.250)	Prec@5 80.469 (80.931)
Epoch: [66][12910/14090]	Time 0.734 (0.761)	Data 0.001 (0.001)	Loss 1.8349 (1.8703)	Prec@1 46.094 (51.249)	Prec@5 84.375 (80.931)
Epoch: [66][12920/14090]	Time 0.722 (0.761)	Data 0.001 (0.001)	Loss 2.1062 (1.8704)	Prec@1 43.750 (51.249)	Prec@5 78.125 (80.930)
Epoch: [66][12930/14090]	Time 0.738 (0.761)	Data 0.001 (0.001)	Loss 1.7574 (1.8704)	Prec@1 53.906 (51.250)	Prec@5 83.594 (80.931)
Epoch: [66][12940/14090]	Time 0.861 (0.761)	Data 0.001 (0.001)	Loss 1.9292 (1.8703)	Prec@1 53.125 (51.250)	Prec@5 81.250 (80.930)
Epoch: [66][12950/14090]	Time 0.722 (0.761)	Data 0.001 (0.001)	Loss 1.8183 (1.8704)	Prec@1 51.562 (51.250)	Prec@5 78.906 (80.930)
Epoch: [66][12960/14090]	Time 0.736 (0.761)	Data 0.001 (0.001)	Loss 1.9932 (1.8703)	Prec@1 48.438 (51.251)	Prec@5 76.562 (80.931)
Epoch: [66][12970/14090]	Time 0.739 (0.761)	Data 0.001 (0.001)	Loss 2.0855 (1.8703)	Prec@1 42.188 (51.251)	Prec@5 79.688 (80.932)
Epoch: [66][12980/14090]	Time 0.745 (0.761)	Data 0.001 (0.001)	Loss 2.0007 (1.8703)	Prec@1 42.969 (51.252)	Prec@5 78.125 (80.932)
Epoch: [66][12990/14090]	Time 0.773 (0.761)	Data 0.001 (0.001)	Loss 1.6364 (1.8703)	Prec@1 56.250 (51.252)	Prec@5 85.156 (80.934)
Epoch: [66][13000/14090]	Time 0.724 (0.761)	Data 0.001 (0.001)	Loss 1.6411 (1.8703)	Prec@1 55.469 (51.253)	Prec@5 85.938 (80.934)
Epoch: [66][13010/14090]	Time 0.867 (0.761)	Data 0.001 (0.001)	Loss 1.7138 (1.8703)	Prec@1 61.719 (51.253)	Prec@5 86.719 (80.934)
Epoch: [66][13020/14090]	Time 0.771 (0.761)	Data 0.001 (0.001)	Loss 1.7555 (1.8703)	Prec@1 56.250 (51.254)	Prec@5 84.375 (80.933)
Epoch: [66][13030/14090]	Time 0.734 (0.761)	Data 0.001 (0.001)	Loss 1.7667 (1.8703)	Prec@1 55.469 (51.253)	Prec@5 82.031 (80.933)
Epoch: [66][13040/14090]	Time 0.720 (0.761)	Data 0.001 (0.001)	Loss 1.9951 (1.8702)	Prec@1 52.344 (51.253)	Prec@5 81.250 (80.933)
Epoch: [66][13050/14090]	Time 0.775 (0.761)	Data 0.001 (0.001)	Loss 2.1717 (1.8703)	Prec@1 46.875 (51.252)	Prec@5 76.562 (80.933)
Epoch: [66][13060/14090]	Time 0.757 (0.761)	Data 0.001 (0.001)	Loss 1.9089 (1.8703)	Prec@1 52.344 (51.253)	Prec@5 82.812 (80.933)
Epoch: [66][13070/14090]	Time 0.727 (0.761)	Data 0.001 (0.001)	Loss 2.0953 (1.8704)	Prec@1 48.438 (51.252)	Prec@5 77.344 (80.932)
Epoch: [66][13080/14090]	Time 0.875 (0.761)	Data 0.001 (0.001)	Loss 1.6337 (1.8703)	Prec@1 60.156 (51.253)	Prec@5 85.938 (80.932)
Epoch: [66][13090/14090]	Time 0.751 (0.761)	Data 0.001 (0.001)	Loss 1.7262 (1.8703)	Prec@1 53.125 (51.252)	Prec@5 85.156 (80.933)
Epoch: [66][13100/14090]	Time 0.731 (0.761)	Data 0.001 (0.001)	Loss 1.7277 (1.8703)	Prec@1 55.469 (51.254)	Prec@5 84.375 (80.933)
Epoch: [66][13110/14090]	Time 0.731 (0.761)	Data 0.001 (0.001)	Loss 1.9949 (1.8703)	Prec@1 46.094 (51.253)	Prec@5 80.469 (80.933)
Epoch: [66][13120/14090]	Time 0.751 (0.761)	Data 0.001 (0.001)	Loss 1.7158 (1.8703)	Prec@1 56.250 (51.253)	Prec@5 82.031 (80.932)
Epoch: [66][13130/14090]	Time 0.754 (0.761)	Data 0.001 (0.001)	Loss 1.7980 (1.8703)	Prec@1 52.344 (51.252)	Prec@5 82.812 (80.933)
Epoch: [66][13140/14090]	Time 0.783 (0.761)	Data 0.001 (0.001)	Loss 1.8416 (1.8704)	Prec@1 56.250 (51.249)	Prec@5 82.031 (80.930)
Epoch: [66][13150/14090]	Time 0.860 (0.761)	Data 0.001 (0.001)	Loss 1.5938 (1.8704)	Prec@1 54.688 (51.248)	Prec@5 86.719 (80.931)
Epoch: [66][13160/14090]	Time 0.729 (0.761)	Data 0.001 (0.001)	Loss 1.9807 (1.8704)	Prec@1 51.562 (51.249)	Prec@5 82.031 (80.932)
Epoch: [66][13170/14090]	Time 0.730 (0.761)	Data 0.001 (0.001)	Loss 1.8523 (1.8704)	Prec@1 49.219 (51.249)	Prec@5 82.031 (80.932)
Epoch: [66][13180/14090]	Time 0.733 (0.761)	Data 0.001 (0.001)	Loss 1.9502 (1.8703)	Prec@1 48.438 (51.251)	Prec@5 80.469 (80.932)
Epoch: [66][13190/14090]	Time 0.718 (0.761)	Data 0.001 (0.001)	Loss 2.0324 (1.8703)	Prec@1 51.562 (51.250)	Prec@5 82.031 (80.933)
Epoch: [66][13200/14090]	Time 0.742 (0.761)	Data 0.001 (0.001)	Loss 1.7672 (1.8703)	Prec@1 53.906 (51.252)	Prec@5 80.469 (80.933)
Epoch: [66][13210/14090]	Time 0.738 (0.761)	Data 0.001 (0.001)	Loss 1.8719 (1.8703)	Prec@1 50.781 (51.253)	Prec@5 81.250 (80.933)
Epoch: [66][13220/14090]	Time 0.881 (0.761)	Data 0.001 (0.001)	Loss 1.8579 (1.8704)	Prec@1 56.250 (51.250)	Prec@5 79.688 (80.933)
Epoch: [66][13230/14090]	Time 0.727 (0.761)	Data 0.001 (0.001)	Loss 2.0903 (1.8704)	Prec@1 47.656 (51.249)	Prec@5 78.906 (80.932)
Epoch: [66][13240/14090]	Time 0.749 (0.761)	Data 0.001 (0.001)	Loss 2.1264 (1.8705)	Prec@1 48.438 (51.249)	Prec@5 74.219 (80.930)
Epoch: [66][13250/14090]	Time 0.732 (0.761)	Data 0.001 (0.001)	Loss 1.8090 (1.8705)	Prec@1 48.438 (51.249)	Prec@5 80.469 (80.930)
Epoch: [66][13260/14090]	Time 0.753 (0.761)	Data 0.001 (0.001)	Loss 1.8786 (1.8705)	Prec@1 48.438 (51.249)	Prec@5 80.469 (80.930)
Epoch: [66][13270/14090]	Time 0.778 (0.761)	Data 0.001 (0.001)	Loss 1.7820 (1.8704)	Prec@1 50.781 (51.251)	Prec@5 83.594 (80.933)
Epoch: [66][13280/14090]	Time 0.749 (0.761)	Data 0.001 (0.001)	Loss 1.8214 (1.8704)	Prec@1 56.250 (51.250)	Prec@5 81.250 (80.932)
Epoch: [66][13290/14090]	Time 0.868 (0.761)	Data 0.001 (0.001)	Loss 1.6566 (1.8703)	Prec@1 57.031 (51.253)	Prec@5 85.156 (80.932)
Epoch: [66][13300/14090]	Time 0.729 (0.761)	Data 0.001 (0.001)	Loss 1.6985 (1.8703)	Prec@1 50.781 (51.253)	Prec@5 82.031 (80.933)
Epoch: [66][13310/14090]	Time 0.736 (0.761)	Data 0.001 (0.001)	Loss 1.9755 (1.8703)	Prec@1 49.219 (51.252)	Prec@5 76.562 (80.932)
Epoch: [66][13320/14090]	Time 0.732 (0.761)	Data 0.001 (0.001)	Loss 2.0197 (1.8704)	Prec@1 47.656 (51.251)	Prec@5 79.688 (80.930)
Epoch: [66][13330/14090]	Time 0.729 (0.761)	Data 0.001 (0.001)	Loss 1.8086 (1.8704)	Prec@1 53.906 (51.251)	Prec@5 82.031 (80.929)
Epoch: [66][13340/14090]	Time 0.759 (0.761)	Data 0.001 (0.001)	Loss 1.6636 (1.8703)	Prec@1 54.688 (51.253)	Prec@5 85.156 (80.930)
Epoch: [66][13350/14090]	Time 0.753 (0.761)	Data 0.001 (0.001)	Loss 2.0474 (1.8704)	Prec@1 48.438 (51.253)	Prec@5 82.031 (80.929)
Epoch: [66][13360/14090]	Time 0.844 (0.761)	Data 0.001 (0.001)	Loss 1.8879 (1.8704)	Prec@1 46.875 (51.252)	Prec@5 81.250 (80.928)
Epoch: [66][13370/14090]	Time 0.728 (0.761)	Data 0.001 (0.001)	Loss 1.7461 (1.8703)	Prec@1 53.906 (51.252)	Prec@5 82.031 (80.929)
Epoch: [66][13380/14090]	Time 0.737 (0.761)	Data 0.001 (0.001)	Loss 1.8844 (1.8703)	Prec@1 48.438 (51.251)	Prec@5 80.469 (80.929)
Epoch: [66][13390/14090]	Time 0.734 (0.761)	Data 0.001 (0.001)	Loss 1.9588 (1.8703)	Prec@1 53.906 (51.251)	Prec@5 82.031 (80.929)
Epoch: [66][13400/14090]	Time 0.739 (0.761)	Data 0.001 (0.001)	Loss 1.6266 (1.8703)	Prec@1 60.938 (51.253)	Prec@5 83.594 (80.930)
Epoch: [66][13410/14090]	Time 0.758 (0.761)	Data 0.001 (0.001)	Loss 2.1242 (1.8703)	Prec@1 48.438 (51.252)	Prec@5 73.438 (80.929)
Epoch: [66][13420/14090]	Time 0.747 (0.761)	Data 0.001 (0.001)	Loss 1.8043 (1.8702)	Prec@1 55.469 (51.254)	Prec@5 81.250 (80.929)
Epoch: [66][13430/14090]	Time 0.853 (0.761)	Data 0.001 (0.001)	Loss 1.7400 (1.8702)	Prec@1 53.125 (51.253)	Prec@5 87.500 (80.931)
Epoch: [66][13440/14090]	Time 0.731 (0.761)	Data 0.001 (0.001)	Loss 1.8572 (1.8702)	Prec@1 50.781 (51.253)	Prec@5 85.938 (80.930)
Epoch: [66][13450/14090]	Time 0.750 (0.761)	Data 0.001 (0.001)	Loss 1.9231 (1.8702)	Prec@1 49.219 (51.253)	Prec@5 82.031 (80.931)
Epoch: [66][13460/14090]	Time 0.736 (0.761)	Data 0.001 (0.001)	Loss 1.6507 (1.8702)	Prec@1 52.344 (51.253)	Prec@5 83.594 (80.931)
Epoch: [66][13470/14090]	Time 0.731 (0.761)	Data 0.001 (0.001)	Loss 1.7471 (1.8702)	Prec@1 53.906 (51.254)	Prec@5 85.938 (80.931)
Epoch: [66][13480/14090]	Time 0.740 (0.761)	Data 0.001 (0.001)	Loss 2.0312 (1.8702)	Prec@1 47.656 (51.255)	Prec@5 78.125 (80.932)
Epoch: [66][13490/14090]	Time 0.769 (0.761)	Data 0.001 (0.001)	Loss 1.8671 (1.8702)	Prec@1 47.656 (51.254)	Prec@5 83.594 (80.932)
Epoch: [66][13500/14090]	Time 0.846 (0.761)	Data 0.001 (0.001)	Loss 1.6341 (1.8701)	Prec@1 60.938 (51.255)	Prec@5 87.500 (80.933)
Epoch: [66][13510/14090]	Time 0.736 (0.761)	Data 0.001 (0.001)	Loss 1.8745 (1.8701)	Prec@1 48.438 (51.254)	Prec@5 78.906 (80.933)
Epoch: [66][13520/14090]	Time 0.729 (0.761)	Data 0.001 (0.001)	Loss 1.8254 (1.8701)	Prec@1 58.594 (51.256)	Prec@5 80.469 (80.934)
Epoch: [66][13530/14090]	Time 0.737 (0.761)	Data 0.001 (0.001)	Loss 1.9323 (1.8701)	Prec@1 52.344 (51.256)	Prec@5 85.938 (80.934)
Epoch: [66][13540/14090]	Time 0.748 (0.761)	Data 0.001 (0.001)	Loss 1.6431 (1.8701)	Prec@1 51.562 (51.256)	Prec@5 84.375 (80.935)
Epoch: [66][13550/14090]	Time 0.752 (0.761)	Data 0.001 (0.001)	Loss 2.1565 (1.8701)	Prec@1 46.094 (51.255)	Prec@5 74.219 (80.935)
Epoch: [66][13560/14090]	Time 0.769 (0.761)	Data 0.001 (0.001)	Loss 2.0667 (1.8701)	Prec@1 47.656 (51.254)	Prec@5 75.781 (80.934)
Epoch: [66][13570/14090]	Time 0.859 (0.761)	Data 0.001 (0.001)	Loss 1.8219 (1.8701)	Prec@1 52.344 (51.254)	Prec@5 83.594 (80.933)
Epoch: [66][13580/14090]	Time 0.741 (0.761)	Data 0.001 (0.001)	Loss 2.0805 (1.8701)	Prec@1 44.531 (51.254)	Prec@5 72.656 (80.932)
Epoch: [66][13590/14090]	Time 0.755 (0.761)	Data 0.001 (0.001)	Loss 1.9777 (1.8701)	Prec@1 47.656 (51.255)	Prec@5 82.031 (80.932)
Epoch: [66][13600/14090]	Time 0.751 (0.761)	Data 0.001 (0.001)	Loss 2.0441 (1.8702)	Prec@1 48.438 (51.254)	Prec@5 81.250 (80.932)
Epoch: [66][13610/14090]	Time 0.733 (0.761)	Data 0.001 (0.001)	Loss 1.8910 (1.8702)	Prec@1 48.438 (51.254)	Prec@5 80.469 (80.931)
Epoch: [66][13620/14090]	Time 0.741 (0.761)	Data 0.001 (0.001)	Loss 2.1702 (1.8703)	Prec@1 43.750 (51.254)	Prec@5 72.656 (80.930)
Epoch: [66][13630/14090]	Time 0.776 (0.761)	Data 0.001 (0.001)	Loss 1.8119 (1.8704)	Prec@1 58.594 (51.252)	Prec@5 83.594 (80.930)
Epoch: [66][13640/14090]	Time 0.877 (0.761)	Data 0.001 (0.001)	Loss 1.9603 (1.8704)	Prec@1 57.812 (51.251)	Prec@5 79.688 (80.929)
Epoch: [66][13650/14090]	Time 0.743 (0.761)	Data 0.001 (0.001)	Loss 2.0265 (1.8704)	Prec@1 45.312 (51.252)	Prec@5 77.344 (80.929)
Epoch: [66][13660/14090]	Time 0.754 (0.761)	Data 0.001 (0.001)	Loss 1.8732 (1.8704)	Prec@1 56.250 (51.252)	Prec@5 82.812 (80.929)
Epoch: [66][13670/14090]	Time 0.760 (0.761)	Data 0.001 (0.001)	Loss 2.0337 (1.8703)	Prec@1 47.656 (51.253)	Prec@5 77.344 (80.929)
Epoch: [66][13680/14090]	Time 0.724 (0.761)	Data 0.001 (0.001)	Loss 1.9245 (1.8702)	Prec@1 47.656 (51.256)	Prec@5 81.250 (80.931)
Epoch: [66][13690/14090]	Time 0.757 (0.761)	Data 0.002 (0.001)	Loss 1.7946 (1.8703)	Prec@1 56.250 (51.255)	Prec@5 78.906 (80.930)
Epoch: [66][13700/14090]	Time 0.790 (0.761)	Data 0.001 (0.001)	Loss 1.4626 (1.8702)	Prec@1 55.469 (51.254)	Prec@5 89.844 (80.932)
Epoch: [66][13710/14090]	Time 0.864 (0.761)	Data 0.001 (0.001)	Loss 1.9021 (1.8702)	Prec@1 53.125 (51.253)	Prec@5 76.562 (80.932)
Epoch: [66][13720/14090]	Time 0.743 (0.761)	Data 0.001 (0.001)	Loss 1.5772 (1.8702)	Prec@1 55.469 (51.252)	Prec@5 85.156 (80.933)
Epoch: [66][13730/14090]	Time 0.721 (0.761)	Data 0.001 (0.001)	Loss 1.9190 (1.8702)	Prec@1 50.781 (51.253)	Prec@5 75.000 (80.933)
Epoch: [66][13740/14090]	Time 0.724 (0.761)	Data 0.001 (0.001)	Loss 2.0512 (1.8703)	Prec@1 46.875 (51.251)	Prec@5 80.469 (80.932)
Epoch: [66][13750/14090]	Time 0.735 (0.761)	Data 0.001 (0.001)	Loss 1.9428 (1.8703)	Prec@1 46.875 (51.249)	Prec@5 78.125 (80.932)
Epoch: [66][13760/14090]	Time 0.736 (0.761)	Data 0.001 (0.001)	Loss 1.8639 (1.8703)	Prec@1 49.219 (51.248)	Prec@5 81.250 (80.932)
Epoch: [66][13770/14090]	Time 0.745 (0.761)	Data 0.001 (0.001)	Loss 1.5987 (1.8703)	Prec@1 56.250 (51.249)	Prec@5 85.156 (80.932)
Epoch: [66][13780/14090]	Time 0.848 (0.761)	Data 0.001 (0.001)	Loss 1.9278 (1.8704)	Prec@1 49.219 (51.247)	Prec@5 82.812 (80.931)
Epoch: [66][13790/14090]	Time 0.730 (0.761)	Data 0.001 (0.001)	Loss 2.0507 (1.8704)	Prec@1 51.562 (51.248)	Prec@5 78.125 (80.931)
Epoch: [66][13800/14090]	Time 0.770 (0.761)	Data 0.001 (0.001)	Loss 1.8437 (1.8704)	Prec@1 52.344 (51.247)	Prec@5 85.156 (80.931)
Epoch: [66][13810/14090]	Time 0.743 (0.761)	Data 0.001 (0.001)	Loss 1.9864 (1.8705)	Prec@1 49.219 (51.246)	Prec@5 80.469 (80.930)
Epoch: [66][13820/14090]	Time 0.747 (0.761)	Data 0.001 (0.001)	Loss 1.8739 (1.8705)	Prec@1 50.000 (51.246)	Prec@5 82.031 (80.931)
Epoch: [66][13830/14090]	Time 0.726 (0.761)	Data 0.001 (0.001)	Loss 1.8419 (1.8705)	Prec@1 50.000 (51.245)	Prec@5 80.469 (80.930)
Epoch: [66][13840/14090]	Time 0.763 (0.761)	Data 0.001 (0.001)	Loss 1.8844 (1.8705)	Prec@1 50.000 (51.245)	Prec@5 82.031 (80.931)
Epoch: [66][13850/14090]	Time 0.912 (0.761)	Data 0.001 (0.001)	Loss 1.5554 (1.8705)	Prec@1 56.250 (51.245)	Prec@5 88.281 (80.931)
Epoch: [66][13860/14090]	Time 0.752 (0.761)	Data 0.001 (0.001)	Loss 2.0260 (1.8705)	Prec@1 43.750 (51.244)	Prec@5 79.688 (80.931)
Epoch: [66][13870/14090]	Time 0.734 (0.761)	Data 0.001 (0.001)	Loss 1.8388 (1.8704)	Prec@1 51.562 (51.245)	Prec@5 79.688 (80.931)
Epoch: [66][13880/14090]	Time 0.721 (0.761)	Data 0.001 (0.001)	Loss 1.9697 (1.8705)	Prec@1 50.000 (51.245)	Prec@5 84.375 (80.930)
Epoch: [66][13890/14090]	Time 0.770 (0.761)	Data 0.001 (0.001)	Loss 2.1671 (1.8705)	Prec@1 48.438 (51.245)	Prec@5 79.688 (80.931)
Epoch: [66][13900/14090]	Time 0.755 (0.761)	Data 0.001 (0.001)	Loss 2.1485 (1.8704)	Prec@1 46.094 (51.247)	Prec@5 78.906 (80.932)
Epoch: [66][13910/14090]	Time 0.734 (0.761)	Data 0.001 (0.001)	Loss 1.8216 (1.8704)	Prec@1 52.344 (51.247)	Prec@5 85.938 (80.933)
Epoch: [66][13920/14090]	Time 0.841 (0.761)	Data 0.001 (0.001)	Loss 1.9976 (1.8704)	Prec@1 44.531 (51.248)	Prec@5 77.344 (80.934)
Epoch: [66][13930/14090]	Time 0.732 (0.761)	Data 0.001 (0.001)	Loss 1.8500 (1.8703)	Prec@1 52.344 (51.248)	Prec@5 80.469 (80.935)
Epoch: [66][13940/14090]	Time 0.733 (0.761)	Data 0.001 (0.001)	Loss 1.8725 (1.8703)	Prec@1 58.594 (51.249)	Prec@5 81.250 (80.935)
Epoch: [66][13950/14090]	Time 0.727 (0.761)	Data 0.001 (0.001)	Loss 2.1058 (1.8704)	Prec@1 46.094 (51.249)	Prec@5 79.688 (80.935)
Epoch: [66][13960/14090]	Time 0.747 (0.761)	Data 0.001 (0.001)	Loss 1.8485 (1.8704)	Prec@1 53.125 (51.248)	Prec@5 75.000 (80.934)
Epoch: [66][13970/14090]	Time 0.753 (0.761)	Data 0.001 (0.001)	Loss 1.9284 (1.8704)	Prec@1 49.219 (51.248)	Prec@5 79.688 (80.933)
Epoch: [66][13980/14090]	Time 0.732 (0.761)	Data 0.001 (0.001)	Loss 1.8024 (1.8704)	Prec@1 55.469 (51.249)	Prec@5 75.000 (80.933)
Epoch: [66][13990/14090]	Time 0.856 (0.761)	Data 0.001 (0.001)	Loss 1.9410 (1.8705)	Prec@1 50.781 (51.249)	Prec@5 79.688 (80.932)
Epoch: [66][14000/14090]	Time 0.724 (0.761)	Data 0.001 (0.001)	Loss 2.1666 (1.8704)	Prec@1 44.531 (51.249)	Prec@5 76.562 (80.933)
Epoch: [66][14010/14090]	Time 0.739 (0.761)	Data 0.001 (0.001)	Loss 1.8535 (1.8704)	Prec@1 46.875 (51.249)	Prec@5 81.250 (80.933)
Epoch: [66][14020/14090]	Time 0.762 (0.761)	Data 0.001 (0.001)	Loss 1.6139 (1.8704)	Prec@1 57.812 (51.250)	Prec@5 88.281 (80.933)
Epoch: [66][14030/14090]	Time 0.736 (0.761)	Data 0.001 (0.001)	Loss 1.8975 (1.8704)	Prec@1 44.531 (51.250)	Prec@5 84.375 (80.934)
Epoch: [66][14040/14090]	Time 0.755 (0.761)	Data 0.001 (0.001)	Loss 1.9206 (1.8704)	Prec@1 51.562 (51.249)	Prec@5 78.906 (80.934)
Epoch: [66][14050/14090]	Time 0.761 (0.761)	Data 0.001 (0.001)	Loss 1.6114 (1.8704)	Prec@1 57.031 (51.249)	Prec@5 86.719 (80.934)
Epoch: [66][14060/14090]	Time 0.859 (0.761)	Data 0.001 (0.001)	Loss 1.8100 (1.8704)	Prec@1 55.469 (51.250)	Prec@5 81.250 (80.934)
Epoch: [66][14070/14090]	Time 0.734 (0.761)	Data 0.001 (0.001)	Loss 1.7112 (1.8704)	Prec@1 53.125 (51.249)	Prec@5 82.812 (80.934)
Epoch: [66][14080/14090]	Time 0.775 (0.761)	Data 0.000 (0.001)	Loss 2.0772 (1.8705)	Prec@1 44.531 (51.248)	Prec@5 77.344 (80.932)
Test: [0/286]	Time 5.194 (5.194)	Loss 1.2289 (1.2289)	Prec@1 60.938 (60.938)	Prec@5 96.875 (96.875)
Test: [10/286]	Time 0.241 (0.911)	Loss 1.7904 (1.7827)	Prec@1 49.219 (52.628)	Prec@5 87.500 (84.375)
Test: [20/286]	Time 0.234 (0.690)	Loss 1.3237 (1.6905)	Prec@1 63.281 (54.353)	Prec@5 92.969 (85.900)
Test: [30/286]	Time 0.233 (0.612)	Loss 1.9211 (1.6248)	Prec@1 45.312 (56.754)	Prec@5 81.250 (86.341)
Test: [40/286]	Time 2.136 (0.621)	Loss 1.6280 (1.6486)	Prec@1 48.438 (56.155)	Prec@5 88.281 (86.223)
Test: [50/286]	Time 0.263 (0.588)	Loss 0.4451 (1.6417)	Prec@1 91.406 (56.005)	Prec@5 95.312 (86.320)
Test: [60/286]	Time 0.235 (0.566)	Loss 2.5769 (1.6741)	Prec@1 35.938 (55.558)	Prec@5 71.875 (85.374)
Test: [70/286]	Time 0.286 (0.552)	Loss 1.1873 (1.6573)	Prec@1 71.875 (55.711)	Prec@5 93.750 (85.673)
Test: [80/286]	Time 2.024 (0.562)	Loss 1.8582 (1.6898)	Prec@1 44.531 (54.581)	Prec@5 82.812 (85.311)
Test: [90/286]	Time 0.288 (0.551)	Loss 1.8165 (1.7023)	Prec@1 49.219 (54.404)	Prec@5 86.719 (85.165)
Test: [100/286]	Time 0.349 (0.543)	Loss 2.2128 (1.7112)	Prec@1 35.156 (54.015)	Prec@5 82.031 (85.187)
Test: [110/286]	Time 0.227 (0.534)	Loss 2.4145 (1.7300)	Prec@1 40.625 (53.582)	Prec@5 72.656 (85.051)
Test: [120/286]	Time 1.672 (0.542)	Loss 1.5382 (1.7132)	Prec@1 62.500 (54.113)	Prec@5 81.250 (85.227)
Test: [130/286]	Time 0.420 (0.537)	Loss 0.9233 (1.7020)	Prec@1 72.656 (54.401)	Prec@5 95.312 (85.329)
Test: [140/286]	Time 0.362 (0.535)	Loss 2.0938 (1.6919)	Prec@1 54.688 (54.688)	Prec@5 77.344 (85.367)
Test: [150/286]	Time 0.236 (0.530)	Loss 2.8282 (1.7059)	Prec@1 25.781 (54.175)	Prec@5 73.438 (85.249)
Test: [160/286]	Time 1.117 (0.531)	Loss 2.5156 (1.7041)	Prec@1 26.562 (54.299)	Prec@5 73.438 (85.195)
Test: [170/286]	Time 0.295 (0.531)	Loss 1.9032 (1.6961)	Prec@1 46.875 (54.445)	Prec@5 84.375 (85.316)
Test: [180/286]	Time 0.382 (0.529)	Loss 1.7620 (1.7067)	Prec@1 59.375 (54.191)	Prec@5 80.469 (85.174)
Test: [190/286]	Time 0.290 (0.526)	Loss 2.8015 (1.7257)	Prec@1 18.750 (53.747)	Prec@5 73.438 (84.968)
Test: [200/286]	Time 0.717 (0.525)	Loss 1.7812 (1.7220)	Prec@1 62.500 (53.906)	Prec@5 86.719 (84.966)
Test: [210/286]	Time 0.229 (0.527)	Loss 1.9228 (1.7269)	Prec@1 47.656 (53.706)	Prec@5 83.594 (84.927)
Test: [220/286]	Time 0.311 (0.525)	Loss 2.6676 (1.7307)	Prec@1 24.219 (53.733)	Prec@5 73.438 (84.771)
Test: [230/286]	Time 0.327 (0.523)	Loss 1.1040 (1.7302)	Prec@1 68.750 (53.727)	Prec@5 92.188 (84.730)
Test: [240/286]	Time 0.578 (0.523)	Loss 1.9211 (1.7268)	Prec@1 50.781 (53.832)	Prec@5 83.594 (84.790)
Test: [250/286]	Time 0.305 (0.524)	Loss 1.6926 (1.7171)	Prec@1 52.344 (53.947)	Prec@5 82.031 (84.963)
Test: [260/286]	Time 0.373 (0.523)	Loss 1.5455 (1.7070)	Prec@1 59.375 (54.256)	Prec@5 87.500 (85.141)
Test: [270/286]	Time 0.230 (0.522)	Loss 1.1581 (1.7070)	Prec@1 70.312 (54.272)	Prec@5 89.844 (85.148)
Test: [280/286]	Time 0.697 (0.522)	Loss 1.6321 (1.6928)	Prec@1 59.375 (54.765)	Prec@5 92.188 (85.290)
 * Prec@1 54.863 Prec@5 85.272
Epoch: [67][0/14090]	Time 6.668 (6.668)	Data 5.883 (5.883)	Loss 1.9446 (1.9446)	Prec@1 46.094 (46.094)	Prec@5 82.031 (82.031)
Epoch: [67][10/14090]	Time 0.724 (1.289)	Data 0.001 (0.536)	Loss 1.5252 (1.8289)	Prec@1 57.812 (52.060)	Prec@5 85.156 (81.889)
Epoch: [67][20/14090]	Time 0.722 (1.031)	Data 0.001 (0.281)	Loss 1.8827 (1.8527)	Prec@1 50.781 (51.488)	Prec@5 78.125 (81.138)
Epoch: [67][30/14090]	Time 0.858 (0.940)	Data 0.001 (0.191)	Loss 1.7092 (1.8425)	Prec@1 53.125 (51.487)	Prec@5 80.469 (81.250)
Epoch: [67][40/14090]	Time 0.755 (0.895)	Data 0.001 (0.144)	Loss 1.7304 (1.8391)	Prec@1 53.125 (51.715)	Prec@5 81.250 (81.002)
Epoch: [67][50/14090]	Time 0.760 (0.867)	Data 0.001 (0.116)	Loss 1.7926 (1.8365)	Prec@1 55.469 (51.593)	Prec@5 82.812 (81.434)
Epoch: [67][60/14090]	Time 0.738 (0.851)	Data 0.001 (0.097)	Loss 1.8275 (1.8360)	Prec@1 48.438 (51.908)	Prec@5 83.594 (81.519)
Epoch: [67][70/14090]	Time 0.773 (0.837)	Data 0.001 (0.084)	Loss 1.9548 (1.8367)	Prec@1 59.375 (52.168)	Prec@5 77.344 (81.558)
Epoch: [67][80/14090]	Time 0.759 (0.830)	Data 0.001 (0.074)	Loss 1.9302 (1.8377)	Prec@1 52.344 (52.103)	Prec@5 78.906 (81.385)
Epoch: [67][90/14090]	Time 0.734 (0.821)	Data 0.001 (0.066)	Loss 1.9167 (1.8384)	Prec@1 51.562 (52.000)	Prec@5 78.906 (81.173)
Epoch: [67][100/14090]	Time 0.867 (0.816)	Data 0.001 (0.059)	Loss 2.0269 (1.8417)	Prec@1 51.562 (51.926)	Prec@5 75.781 (81.134)
Epoch: [67][110/14090]	Time 0.723 (0.810)	Data 0.001 (0.054)	Loss 1.8583 (1.8483)	Prec@1 46.094 (51.774)	Prec@5 83.594 (81.088)
Epoch: [67][120/14090]	Time 0.773 (0.806)	Data 0.001 (0.050)	Loss 1.6732 (1.8455)	Prec@1 53.906 (51.743)	Prec@5 85.938 (81.173)
Epoch: [67][130/14090]	Time 0.779 (0.804)	Data 0.001 (0.046)	Loss 1.9186 (1.8461)	Prec@1 52.344 (51.777)	Prec@5 81.250 (81.167)
Epoch: [67][140/14090]	Time 0.765 (0.801)	Data 0.001 (0.043)	Loss 1.9914 (1.8485)	Prec@1 49.219 (51.812)	Prec@5 78.125 (81.134)
Epoch: [67][150/14090]	Time 0.751 (0.799)	Data 0.001 (0.040)	Loss 1.9429 (1.8472)	Prec@1 56.250 (51.899)	Prec@5 78.906 (81.157)
Epoch: [67][160/14090]	Time 0.737 (0.797)	Data 0.001 (0.037)	Loss 1.9581 (1.8498)	Prec@1 54.688 (51.926)	Prec@5 79.688 (81.119)
Epoch: [67][170/14090]	Time 0.865 (0.795)	Data 0.001 (0.035)	Loss 1.8153 (1.8528)	Prec@1 50.000 (51.764)	Prec@5 82.031 (81.067)
Epoch: [67][180/14090]	Time 0.739 (0.793)	Data 0.001 (0.033)	Loss 1.8928 (1.8501)	Prec@1 50.000 (51.813)	Prec@5 79.688 (81.125)
Epoch: [67][190/14090]	Time 0.755 (0.792)	Data 0.001 (0.032)	Loss 1.8788 (1.8493)	Prec@1 56.250 (51.845)	Prec@5 84.375 (81.111)
Epoch: [67][200/14090]	Time 0.752 (0.791)	Data 0.001 (0.030)	Loss 1.9693 (1.8515)	Prec@1 50.000 (51.772)	Prec@5 81.250 (81.106)
Epoch: [67][210/14090]	Time 0.756 (0.790)	Data 0.002 (0.029)	Loss 1.9347 (1.8534)	Prec@1 52.344 (51.811)	Prec@5 79.688 (81.072)
Epoch: [67][220/14090]	Time 0.739 (0.789)	Data 0.001 (0.028)	Loss 1.8294 (1.8542)	Prec@1 52.344 (51.821)	Prec@5 81.250 (81.070)
Epoch: [67][230/14090]	Time 0.740 (0.788)	Data 0.001 (0.026)	Loss 2.1028 (1.8524)	Prec@1 50.000 (51.887)	Prec@5 78.125 (81.125)
Epoch: [67][240/14090]	Time 1.001 (0.788)	Data 0.001 (0.025)	Loss 1.7784 (1.8490)	Prec@1 58.594 (52.007)	Prec@5 80.469 (81.182)
Epoch: [67][250/14090]	Time 0.775 (0.787)	Data 0.001 (0.024)	Loss 1.5930 (1.8477)	Prec@1 57.031 (52.067)	Prec@5 84.375 (81.194)
Epoch: [67][260/14090]	Time 0.752 (0.786)	Data 0.001 (0.023)	Loss 1.9254 (1.8516)	Prec@1 52.344 (51.985)	Prec@5 78.125 (81.103)
Epoch: [67][270/14090]	Time 0.719 (0.785)	Data 0.001 (0.023)	Loss 1.6246 (1.8510)	Prec@1 48.438 (51.995)	Prec@5 84.375 (81.071)
Epoch: [67][280/14090]	Time 0.752 (0.784)	Data 0.001 (0.022)	Loss 1.6892 (1.8500)	Prec@1 53.125 (52.007)	Prec@5 85.938 (81.167)
Epoch: [67][290/14090]	Time 0.756 (0.785)	Data 0.002 (0.021)	Loss 2.0029 (1.8514)	Prec@1 47.656 (51.992)	Prec@5 78.906 (81.145)
Epoch: [67][300/14090]	Time 0.791 (0.784)	Data 0.001 (0.020)	Loss 1.7518 (1.8498)	Prec@1 52.344 (51.949)	Prec@5 82.031 (81.185)
Epoch: [67][310/14090]	Time 0.859 (0.783)	Data 0.001 (0.020)	Loss 2.1127 (1.8515)	Prec@1 44.531 (51.909)	Prec@5 77.344 (81.160)
Epoch: [67][320/14090]	Time 0.732 (0.783)	Data 0.001 (0.019)	Loss 1.8383 (1.8513)	Prec@1 50.000 (51.915)	Prec@5 81.250 (81.160)
Epoch: [67][330/14090]	Time 0.737 (0.782)	Data 0.001 (0.019)	Loss 2.0854 (1.8552)	Prec@1 49.219 (51.803)	Prec@5 78.125 (81.080)
Epoch: [67][340/14090]	Time 0.742 (0.782)	Data 0.001 (0.018)	Loss 1.7014 (1.8549)	Prec@1 55.469 (51.835)	Prec@5 85.156 (81.103)
Epoch: [67][350/14090]	Time 0.737 (0.781)	Data 0.001 (0.018)	Loss 1.7337 (1.8547)	Prec@1 59.375 (51.852)	Prec@5 80.469 (81.116)
Epoch: [67][360/14090]	Time 0.743 (0.781)	Data 0.001 (0.017)	Loss 1.9347 (1.8542)	Prec@1 48.438 (51.859)	Prec@5 78.906 (81.105)
Epoch: [67][370/14090]	Time 0.738 (0.780)	Data 0.001 (0.017)	Loss 2.0395 (1.8541)	Prec@1 44.531 (51.834)	Prec@5 80.469 (81.132)
Epoch: [67][380/14090]	Time 0.848 (0.780)	Data 0.001 (0.016)	Loss 1.7587 (1.8501)	Prec@1 52.344 (51.901)	Prec@5 81.250 (81.207)
Epoch: [67][390/14090]	Time 0.773 (0.779)	Data 0.001 (0.016)	Loss 1.6007 (1.8490)	Prec@1 59.375 (51.912)	Prec@5 82.812 (81.202)
Epoch: [67][400/14090]	Time 0.766 (0.779)	Data 0.001 (0.016)	Loss 1.9985 (1.8512)	Prec@1 52.344 (51.837)	Prec@5 75.000 (81.168)
Epoch: [67][410/14090]	Time 0.739 (0.779)	Data 0.001 (0.015)	Loss 1.9637 (1.8530)	Prec@1 54.688 (51.823)	Prec@5 74.219 (81.107)
Epoch: [67][420/14090]	Time 0.753 (0.778)	Data 0.001 (0.015)	Loss 1.6793 (1.8534)	Prec@1 52.344 (51.809)	Prec@5 85.156 (81.079)
Epoch: [67][430/14090]	Time 0.722 (0.778)	Data 0.001 (0.015)	Loss 1.8023 (1.8533)	Prec@1 48.438 (51.773)	Prec@5 81.250 (81.096)
Epoch: [67][440/14090]	Time 0.764 (0.777)	Data 0.001 (0.014)	Loss 1.9296 (1.8547)	Prec@1 49.219 (51.724)	Prec@5 79.688 (81.087)
Epoch: [67][450/14090]	Time 0.913 (0.777)	Data 0.003 (0.014)	Loss 1.9064 (1.8541)	Prec@1 50.781 (51.725)	Prec@5 78.125 (81.087)
Epoch: [67][460/14090]	Time 0.760 (0.777)	Data 0.001 (0.014)	Loss 1.9182 (1.8535)	Prec@1 52.344 (51.757)	Prec@5 79.688 (81.082)
Epoch: [67][470/14090]	Time 0.732 (0.776)	Data 0.001 (0.013)	Loss 1.6389 (1.8529)	Prec@1 56.250 (51.757)	Prec@5 83.594 (81.116)
Epoch: [67][480/14090]	Time 0.744 (0.776)	Data 0.001 (0.013)	Loss 1.9010 (1.8536)	Prec@1 52.344 (51.757)	Prec@5 78.906 (81.096)
Epoch: [67][490/14090]	Time 0.733 (0.776)	Data 0.001 (0.013)	Loss 1.9407 (1.8548)	Prec@1 49.219 (51.706)	Prec@5 77.344 (81.072)
Epoch: [67][500/14090]	Time 0.751 (0.776)	Data 0.001 (0.013)	Loss 1.7104 (1.8552)	Prec@1 53.906 (51.700)	Prec@5 82.812 (81.055)
Epoch: [67][510/14090]	Time 0.751 (0.776)	Data 0.001 (0.012)	Loss 2.0217 (1.8566)	Prec@1 46.875 (51.670)	Prec@5 78.906 (81.025)
Epoch: [67][520/14090]	Time 1.009 (0.776)	Data 0.001 (0.012)	Loss 1.8025 (1.8571)	Prec@1 54.688 (51.636)	Prec@5 85.156 (81.021)
Epoch: [67][530/14090]	Time 0.722 (0.776)	Data 0.001 (0.012)	Loss 1.8538 (1.8554)	Prec@1 51.562 (51.685)	Prec@5 82.031 (81.041)
Epoch: [67][540/14090]	Time 0.749 (0.776)	Data 0.001 (0.012)	Loss 1.9299 (1.8554)	Prec@1 50.000 (51.679)	Prec@5 83.594 (81.046)
Epoch: [67][550/14090]	Time 0.782 (0.775)	Data 0.001 (0.012)	Loss 1.8485 (1.8565)	Prec@1 56.250 (51.653)	Prec@5 84.375 (81.042)
Epoch: [67][560/14090]	Time 0.774 (0.775)	Data 0.001 (0.011)	Loss 1.5093 (1.8562)	Prec@1 63.281 (51.671)	Prec@5 86.719 (81.037)
Epoch: [67][570/14090]	Time 0.753 (0.775)	Data 0.001 (0.011)	Loss 1.8956 (1.8550)	Prec@1 53.125 (51.705)	Prec@5 80.469 (81.061)
Epoch: [67][580/14090]	Time 0.739 (0.775)	Data 0.001 (0.011)	Loss 1.8596 (1.8542)	Prec@1 48.438 (51.701)	Prec@5 79.688 (81.091)
Epoch: [67][590/14090]	Time 0.847 (0.775)	Data 0.001 (0.011)	Loss 1.7891 (1.8533)	Prec@1 55.469 (51.707)	Prec@5 84.375 (81.087)
Epoch: [67][600/14090]	Time 0.738 (0.775)	Data 0.001 (0.011)	Loss 1.7509 (1.8526)	Prec@1 53.125 (51.713)	Prec@5 83.594 (81.106)
Epoch: [67][610/14090]	Time 0.771 (0.774)	Data 0.001 (0.010)	Loss 1.8977 (1.8539)	Prec@1 51.562 (51.708)	Prec@5 80.469 (81.070)
Epoch: [67][620/14090]	Time 0.741 (0.774)	Data 0.001 (0.010)	Loss 1.8856 (1.8534)	Prec@1 48.438 (51.713)	Prec@5 84.375 (81.078)
Epoch: [67][630/14090]	Time 0.740 (0.774)	Data 0.001 (0.010)	Loss 1.8963 (1.8536)	Prec@1 53.125 (51.706)	Prec@5 83.594 (81.088)
Epoch: [67][640/14090]	Time 0.755 (0.774)	Data 0.001 (0.010)	Loss 1.7733 (1.8524)	Prec@1 53.906 (51.737)	Prec@5 79.688 (81.110)
Epoch: [67][650/14090]	Time 0.727 (0.774)	Data 0.001 (0.010)	Loss 1.8333 (1.8525)	Prec@1 52.344 (51.741)	Prec@5 82.812 (81.122)
Epoch: [67][660/14090]	Time 0.858 (0.774)	Data 0.001 (0.010)	Loss 2.0165 (1.8526)	Prec@1 49.219 (51.733)	Prec@5 76.562 (81.147)
Epoch: [67][670/14090]	Time 0.751 (0.774)	Data 0.001 (0.010)	Loss 1.9175 (1.8521)	Prec@1 53.906 (51.714)	Prec@5 78.906 (81.166)
Epoch: [67][680/14090]	Time 0.742 (0.774)	Data 0.001 (0.010)	Loss 1.9774 (1.8534)	Prec@1 46.875 (51.707)	Prec@5 78.906 (81.132)
Epoch: [67][690/14090]	Time 0.787 (0.774)	Data 0.001 (0.009)	Loss 1.6916 (1.8529)	Prec@1 55.469 (51.690)	Prec@5 87.500 (81.153)
Epoch: [67][700/14090]	Time 0.772 (0.773)	Data 0.001 (0.009)	Loss 1.9097 (1.8533)	Prec@1 48.438 (51.673)	Prec@5 78.125 (81.123)
Epoch: [67][710/14090]	Time 0.759 (0.773)	Data 0.001 (0.009)	Loss 1.9631 (1.8529)	Prec@1 46.875 (51.676)	Prec@5 80.469 (81.137)
Epoch: [67][720/14090]	Time 0.773 (0.773)	Data 0.001 (0.009)	Loss 1.9620 (1.8531)	Prec@1 46.094 (51.662)	Prec@5 80.469 (81.162)
Epoch: [67][730/14090]	Time 0.876 (0.773)	Data 0.001 (0.009)	Loss 1.8405 (1.8525)	Prec@1 48.438 (51.689)	Prec@5 85.938 (81.179)
Epoch: [67][740/14090]	Time 0.734 (0.773)	Data 0.001 (0.009)	Loss 1.7297 (1.8517)	Prec@1 54.688 (51.708)	Prec@5 82.812 (81.200)
Epoch: [67][750/14090]	Time 0.741 (0.773)	Data 0.001 (0.009)	Loss 1.8024 (1.8511)	Prec@1 51.562 (51.708)	Prec@5 82.031 (81.209)
Epoch: [67][760/14090]	Time 0.738 (0.773)	Data 0.001 (0.009)	Loss 1.7573 (1.8511)	Prec@1 54.688 (51.711)	Prec@5 82.031 (81.230)
Epoch: [67][770/14090]	Time 0.775 (0.773)	Data 0.001 (0.009)	Loss 1.7517 (1.8516)	Prec@1 55.469 (51.718)	Prec@5 80.469 (81.207)
Epoch: [67][780/14090]	Time 0.741 (0.772)	Data 0.001 (0.008)	Loss 1.7201 (1.8511)	Prec@1 54.688 (51.719)	Prec@5 83.594 (81.219)
Epoch: [67][790/14090]	Time 0.750 (0.772)	Data 0.001 (0.008)	Loss 1.9236 (1.8511)	Prec@1 53.125 (51.723)	Prec@5 77.344 (81.201)
Epoch: [67][800/14090]	Time 0.890 (0.772)	Data 0.001 (0.008)	Loss 1.9728 (1.8505)	Prec@1 54.688 (51.735)	Prec@5 76.562 (81.209)
Epoch: [67][810/14090]	Time 0.733 (0.772)	Data 0.001 (0.008)	Loss 1.9028 (1.8498)	Prec@1 53.125 (51.751)	Prec@5 80.469 (81.217)
Epoch: [67][820/14090]	Time 0.741 (0.772)	Data 0.001 (0.008)	Loss 1.8409 (1.8505)	Prec@1 47.656 (51.725)	Prec@5 79.688 (81.202)
Epoch: [67][830/14090]	Time 0.789 (0.772)	Data 0.001 (0.008)	Loss 1.7456 (1.8511)	Prec@1 50.000 (51.710)	Prec@5 85.156 (81.183)
Epoch: [67][840/14090]	Time 0.756 (0.772)	Data 0.001 (0.008)	Loss 1.7677 (1.8501)	Prec@1 52.344 (51.748)	Prec@5 82.031 (81.196)
Epoch: [67][850/14090]	Time 0.761 (0.772)	Data 0.001 (0.008)	Loss 1.9600 (1.8497)	Prec@1 50.000 (51.748)	Prec@5 79.688 (81.206)
Epoch: [67][860/14090]	Time 0.773 (0.772)	Data 0.001 (0.008)	Loss 1.7197 (1.8494)	Prec@1 52.344 (51.762)	Prec@5 79.688 (81.197)
Epoch: [67][870/14090]	Time 0.871 (0.772)	Data 0.001 (0.008)	Loss 1.8199 (1.8496)	Prec@1 55.469 (51.766)	Prec@5 78.906 (81.201)
Epoch: [67][880/14090]	Time 0.743 (0.771)	Data 0.001 (0.008)	Loss 2.0679 (1.8502)	Prec@1 44.531 (51.743)	Prec@5 78.906 (81.185)
Epoch: [67][890/14090]	Time 0.740 (0.771)	Data 0.001 (0.007)	Loss 1.6943 (1.8502)	Prec@1 53.906 (51.742)	Prec@5 85.156 (81.194)
Epoch: [67][900/14090]	Time 0.755 (0.771)	Data 0.001 (0.007)	Loss 1.8840 (1.8506)	Prec@1 46.875 (51.728)	Prec@5 81.250 (81.203)
Epoch: [67][910/14090]	Time 0.734 (0.771)	Data 0.001 (0.007)	Loss 1.8616 (1.8506)	Prec@1 46.094 (51.711)	Prec@5 83.594 (81.207)
Epoch: [67][920/14090]	Time 0.754 (0.771)	Data 0.001 (0.007)	Loss 1.5569 (1.8497)	Prec@1 60.156 (51.721)	Prec@5 85.156 (81.210)
Epoch: [67][930/14090]	Time 0.761 (0.771)	Data 0.001 (0.007)	Loss 2.0669 (1.8501)	Prec@1 46.094 (51.721)	Prec@5 78.906 (81.210)
Epoch: [67][940/14090]	Time 0.932 (0.771)	Data 0.001 (0.007)	Loss 2.1212 (1.8501)	Prec@1 48.438 (51.745)	Prec@5 76.562 (81.205)
Epoch: [67][950/14090]	Time 0.734 (0.771)	Data 0.001 (0.007)	Loss 1.9931 (1.8491)	Prec@1 51.562 (51.784)	Prec@5 78.125 (81.211)
Epoch: [67][960/14090]	Time 0.729 (0.771)	Data 0.001 (0.007)	Loss 1.8463 (1.8486)	Prec@1 53.906 (51.787)	Prec@5 82.031 (81.219)
Epoch: [67][970/14090]	Time 0.742 (0.771)	Data 0.001 (0.007)	Loss 1.8507 (1.8485)	Prec@1 51.562 (51.780)	Prec@5 82.812 (81.221)
Epoch: [67][980/14090]	Time 0.779 (0.771)	Data 0.001 (0.007)	Loss 1.6442 (1.8481)	Prec@1 53.125 (51.786)	Prec@5 81.250 (81.225)
Epoch: [67][990/14090]	Time 0.761 (0.771)	Data 0.001 (0.007)	Loss 1.7567 (1.8482)	Prec@1 53.906 (51.771)	Prec@5 84.375 (81.223)
Epoch: [67][1000/14090]	Time 0.776 (0.771)	Data 0.001 (0.007)	Loss 1.4498 (1.8477)	Prec@1 67.188 (51.798)	Prec@5 85.156 (81.241)
Epoch: [67][1010/14090]	Time 0.876 (0.771)	Data 0.001 (0.007)	Loss 1.7510 (1.8473)	Prec@1 53.906 (51.807)	Prec@5 85.156 (81.246)
Epoch: [67][1020/14090]	Time 0.732 (0.770)	Data 0.001 (0.007)	Loss 1.6664 (1.8471)	Prec@1 55.469 (51.806)	Prec@5 84.375 (81.245)
Epoch: [67][1030/14090]	Time 0.737 (0.770)	Data 0.001 (0.007)	Loss 2.1523 (1.8471)	Prec@1 44.531 (51.787)	Prec@5 82.812 (81.257)
Epoch: [67][1040/14090]	Time 0.752 (0.771)	Data 0.001 (0.007)	Loss 1.9957 (1.8466)	Prec@1 50.000 (51.807)	Prec@5 80.469 (81.269)
Epoch: [67][1050/14090]	Time 0.730 (0.770)	Data 0.001 (0.006)	Loss 2.0957 (1.8469)	Prec@1 45.312 (51.808)	Prec@5 80.469 (81.272)
Epoch: [67][1060/14090]	Time 0.757 (0.770)	Data 0.001 (0.006)	Loss 1.9572 (1.8463)	Prec@1 48.438 (51.825)	Prec@5 78.125 (81.283)
Epoch: [67][1070/14090]	Time 0.781 (0.770)	Data 0.001 (0.006)	Loss 1.7517 (1.8464)	Prec@1 55.469 (51.830)	Prec@5 84.375 (81.282)
Epoch: [67][1080/14090]	Time 0.922 (0.771)	Data 0.001 (0.006)	Loss 2.2488 (1.8468)	Prec@1 44.531 (51.827)	Prec@5 74.219 (81.279)
Epoch: [67][1090/14090]	Time 0.731 (0.770)	Data 0.001 (0.006)	Loss 1.6658 (1.8463)	Prec@1 55.469 (51.840)	Prec@5 83.594 (81.289)
Epoch: [67][1100/14090]	Time 0.729 (0.770)	Data 0.001 (0.006)	Loss 2.0806 (1.8466)	Prec@1 50.781 (51.836)	Prec@5 81.250 (81.295)
Epoch: [67][1110/14090]	Time 0.730 (0.771)	Data 0.001 (0.006)	Loss 2.1423 (1.8474)	Prec@1 46.094 (51.807)	Prec@5 76.562 (81.275)
Epoch: [67][1120/14090]	Time 0.753 (0.770)	Data 0.001 (0.006)	Loss 1.7903 (1.8477)	Prec@1 52.344 (51.803)	Prec@5 79.688 (81.270)
Epoch: [67][1130/14090]	Time 0.734 (0.771)	Data 0.001 (0.006)	Loss 1.7495 (1.8474)	Prec@1 50.000 (51.799)	Prec@5 82.031 (81.269)
Epoch: [67][1140/14090]	Time 0.740 (0.770)	Data 0.001 (0.006)	Loss 2.0081 (1.8474)	Prec@1 49.219 (51.796)	Prec@5 76.562 (81.267)
Epoch: [67][1150/14090]	Time 0.903 (0.771)	Data 0.001 (0.006)	Loss 1.7183 (1.8472)	Prec@1 52.344 (51.801)	Prec@5 84.375 (81.269)
Epoch: [67][1160/14090]	Time 0.736 (0.771)	Data 0.001 (0.006)	Loss 1.6897 (1.8474)	Prec@1 53.125 (51.798)	Prec@5 85.156 (81.271)
Epoch: [67][1170/14090]	Time 0.750 (0.770)	Data 0.001 (0.006)	Loss 2.0466 (1.8477)	Prec@1 48.438 (51.784)	Prec@5 80.469 (81.269)
Epoch: [67][1180/14090]	Time 0.737 (0.770)	Data 0.001 (0.006)	Loss 1.9273 (1.8478)	Prec@1 52.344 (51.780)	Prec@5 78.125 (81.269)
Epoch: [67][1190/14090]	Time 0.734 (0.770)	Data 0.001 (0.006)	Loss 1.7660 (1.8481)	Prec@1 53.906 (51.776)	Prec@5 82.812 (81.264)
Epoch: [67][1200/14090]	Time 0.758 (0.770)	Data 0.001 (0.006)	Loss 2.1613 (1.8487)	Prec@1 44.531 (51.755)	Prec@5 78.125 (81.256)
Epoch: [67][1210/14090]	Time 0.757 (0.770)	Data 0.001 (0.006)	Loss 1.9066 (1.8490)	Prec@1 49.219 (51.764)	Prec@5 78.906 (81.250)
Epoch: [67][1220/14090]	Time 0.877 (0.770)	Data 0.001 (0.006)	Loss 1.7386 (1.8488)	Prec@1 53.906 (51.760)	Prec@5 85.156 (81.254)
Epoch: [67][1230/14090]	Time 0.741 (0.770)	Data 0.001 (0.006)	Loss 2.0637 (1.8494)	Prec@1 45.312 (51.749)	Prec@5 75.781 (81.244)
Epoch: [67][1240/14090]	Time 0.741 (0.770)	Data 0.001 (0.006)	Loss 1.9280 (1.8494)	Prec@1 50.000 (51.746)	Prec@5 78.906 (81.241)
Epoch: [67][1250/14090]	Time 0.736 (0.770)	Data 0.001 (0.006)	Loss 1.6864 (1.8489)	Prec@1 58.594 (51.759)	Prec@5 84.375 (81.254)
Epoch: [67][1260/14090]	Time 0.751 (0.770)	Data 0.001 (0.006)	Loss 1.7879 (1.8486)	Prec@1 57.031 (51.774)	Prec@5 80.469 (81.256)
Epoch: [67][1270/14090]	Time 0.742 (0.770)	Data 0.001 (0.005)	Loss 1.6999 (1.8490)	Prec@1 56.250 (51.758)	Prec@5 85.156 (81.249)
Epoch: [67][1280/14090]	Time 0.727 (0.770)	Data 0.001 (0.005)	Loss 2.0537 (1.8489)	Prec@1 45.312 (51.758)	Prec@5 77.344 (81.243)
Epoch: [67][1290/14090]	Time 0.888 (0.770)	Data 0.001 (0.005)	Loss 1.6828 (1.8486)	Prec@1 57.812 (51.770)	Prec@5 83.594 (81.251)
Epoch: [67][1300/14090]	Time 0.751 (0.770)	Data 0.001 (0.005)	Loss 1.8770 (1.8484)	Prec@1 50.781 (51.776)	Prec@5 84.375 (81.260)
Epoch: [67][1310/14090]	Time 0.732 (0.770)	Data 0.001 (0.005)	Loss 1.7874 (1.8484)	Prec@1 48.438 (51.761)	Prec@5 81.250 (81.258)
Epoch: [67][1320/14090]	Time 0.781 (0.770)	Data 0.001 (0.005)	Loss 1.8876 (1.8485)	Prec@1 50.000 (51.756)	Prec@5 79.688 (81.259)
Epoch: [67][1330/14090]	Time 0.738 (0.770)	Data 0.001 (0.005)	Loss 1.9643 (1.8489)	Prec@1 52.344 (51.754)	Prec@5 81.250 (81.261)
Epoch: [67][1340/14090]	Time 0.749 (0.770)	Data 0.001 (0.005)	Loss 1.7423 (1.8489)	Prec@1 47.656 (51.747)	Prec@5 84.375 (81.265)
Epoch: [67][1350/14090]	Time 0.770 (0.770)	Data 0.001 (0.005)	Loss 1.8383 (1.8486)	Prec@1 46.875 (51.747)	Prec@5 79.688 (81.270)
Epoch: [67][1360/14090]	Time 0.922 (0.770)	Data 0.001 (0.005)	Loss 1.8130 (1.8492)	Prec@1 53.125 (51.727)	Prec@5 81.250 (81.261)
Epoch: [67][1370/14090]	Time 0.737 (0.770)	Data 0.001 (0.005)	Loss 1.7693 (1.8493)	Prec@1 52.344 (51.728)	Prec@5 82.031 (81.256)
Epoch: [67][1380/14090]	Time 0.738 (0.769)	Data 0.001 (0.005)	Loss 2.0076 (1.8492)	Prec@1 50.000 (51.734)	Prec@5 78.906 (81.262)
Epoch: [67][1390/14090]	Time 0.751 (0.769)	Data 0.001 (0.005)	Loss 1.9790 (1.8497)	Prec@1 44.531 (51.722)	Prec@5 82.812 (81.250)
Epoch: [67][1400/14090]	Time 0.724 (0.769)	Data 0.001 (0.005)	Loss 1.4887 (1.8497)	Prec@1 53.906 (51.713)	Prec@5 87.500 (81.247)
Epoch: [67][1410/14090]	Time 0.761 (0.769)	Data 0.001 (0.005)	Loss 1.8869 (1.8500)	Prec@1 51.562 (51.708)	Prec@5 78.906 (81.238)
Epoch: [67][1420/14090]	Time 0.742 (0.769)	Data 0.001 (0.005)	Loss 2.0126 (1.8498)	Prec@1 40.625 (51.703)	Prec@5 74.219 (81.237)
Epoch: [67][1430/14090]	Time 0.828 (0.769)	Data 0.001 (0.005)	Loss 1.9033 (1.8499)	Prec@1 45.312 (51.705)	Prec@5 77.344 (81.231)
Epoch: [67][1440/14090]	Time 0.748 (0.769)	Data 0.001 (0.005)	Loss 1.9888 (1.8504)	Prec@1 47.656 (51.692)	Prec@5 78.125 (81.223)
Epoch: [67][1450/14090]	Time 0.774 (0.769)	Data 0.001 (0.005)	Loss 1.8985 (1.8513)	Prec@1 46.094 (51.681)	Prec@5 82.812 (81.211)
Epoch: [67][1460/14090]	Time 0.777 (0.769)	Data 0.001 (0.005)	Loss 1.5964 (1.8518)	Prec@1 61.719 (51.672)	Prec@5 82.031 (81.213)
Epoch: [67][1470/14090]	Time 0.731 (0.769)	Data 0.001 (0.005)	Loss 1.6900 (1.8514)	Prec@1 53.125 (51.679)	Prec@5 82.031 (81.221)
Epoch: [67][1480/14090]	Time 0.731 (0.769)	Data 0.001 (0.005)	Loss 2.0031 (1.8513)	Prec@1 48.438 (51.677)	Prec@5 78.125 (81.222)
Epoch: [67][1490/14090]	Time 0.760 (0.769)	Data 0.001 (0.005)	Loss 1.9952 (1.8521)	Prec@1 50.781 (51.667)	Prec@5 78.906 (81.209)
Epoch: [67][1500/14090]	Time 0.867 (0.769)	Data 0.001 (0.005)	Loss 1.8007 (1.8515)	Prec@1 53.125 (51.679)	Prec@5 79.688 (81.219)
Epoch: [67][1510/14090]	Time 0.723 (0.769)	Data 0.001 (0.005)	Loss 1.5895 (1.8514)	Prec@1 58.594 (51.681)	Prec@5 85.938 (81.221)
Epoch: [67][1520/14090]	Time 0.733 (0.769)	Data 0.001 (0.005)	Loss 1.8334 (1.8515)	Prec@1 54.688 (51.681)	Prec@5 77.344 (81.214)
Epoch: [67][1530/14090]	Time 0.758 (0.769)	Data 0.001 (0.005)	Loss 1.8847 (1.8513)	Prec@1 46.094 (51.685)	Prec@5 80.469 (81.216)
Epoch: [67][1540/14090]	Time 0.789 (0.769)	Data 0.001 (0.005)	Loss 1.6693 (1.8506)	Prec@1 56.250 (51.702)	Prec@5 85.156 (81.232)
Epoch: [67][1550/14090]	Time 0.750 (0.769)	Data 0.001 (0.005)	Loss 2.0119 (1.8507)	Prec@1 46.875 (51.699)	Prec@5 77.344 (81.233)
Epoch: [67][1560/14090]	Time 0.800 (0.769)	Data 0.002 (0.005)	Loss 1.7801 (1.8505)	Prec@1 58.594 (51.711)	Prec@5 81.250 (81.237)
Epoch: [67][1570/14090]	Time 0.912 (0.769)	Data 0.001 (0.005)	Loss 1.7402 (1.8506)	Prec@1 54.688 (51.711)	Prec@5 82.031 (81.238)
Epoch: [67][1580/14090]	Time 0.746 (0.769)	Data 0.001 (0.005)	Loss 2.0820 (1.8507)	Prec@1 48.438 (51.709)	Prec@5 77.344 (81.235)
Epoch: [67][1590/14090]	Time 0.749 (0.769)	Data 0.001 (0.005)	Loss 1.5839 (1.8502)	Prec@1 60.938 (51.729)	Prec@5 83.594 (81.237)
Epoch: [67][1600/14090]	Time 0.741 (0.769)	Data 0.001 (0.005)	Loss 1.9375 (1.8503)	Prec@1 53.125 (51.722)	Prec@5 78.906 (81.239)
Epoch: [67][1610/14090]	Time 0.744 (0.769)	Data 0.001 (0.005)	Loss 1.9072 (1.8504)	Prec@1 50.000 (51.715)	Prec@5 80.469 (81.243)
Epoch: [67][1620/14090]	Time 0.742 (0.769)	Data 0.001 (0.004)	Loss 1.9540 (1.8502)	Prec@1 50.781 (51.720)	Prec@5 80.469 (81.251)
Epoch: [67][1630/14090]	Time 0.716 (0.769)	Data 0.001 (0.004)	Loss 1.6990 (1.8497)	Prec@1 58.594 (51.738)	Prec@5 82.031 (81.262)
Epoch: [67][1640/14090]	Time 1.021 (0.769)	Data 0.001 (0.004)	Loss 1.5910 (1.8495)	Prec@1 60.156 (51.748)	Prec@5 88.281 (81.268)
Epoch: [67][1650/14090]	Time 0.758 (0.769)	Data 0.001 (0.004)	Loss 1.7203 (1.8498)	Prec@1 50.781 (51.740)	Prec@5 86.719 (81.258)
Epoch: [67][1660/14090]	Time 0.735 (0.769)	Data 0.001 (0.004)	Loss 1.6654 (1.8502)	Prec@1 56.250 (51.735)	Prec@5 84.375 (81.253)
Epoch: [67][1670/14090]	Time 0.730 (0.769)	Data 0.001 (0.004)	Loss 1.7387 (1.8502)	Prec@1 52.344 (51.737)	Prec@5 85.156 (81.256)
Epoch: [67][1680/14090]	Time 0.750 (0.769)	Data 0.001 (0.004)	Loss 2.0044 (1.8503)	Prec@1 43.750 (51.737)	Prec@5 78.906 (81.253)
Epoch: [67][1690/14090]	Time 0.753 (0.769)	Data 0.001 (0.004)	Loss 1.9048 (1.8499)	Prec@1 51.562 (51.744)	Prec@5 83.594 (81.265)
Epoch: [67][1700/14090]	Time 0.781 (0.769)	Data 0.001 (0.004)	Loss 1.7571 (1.8496)	Prec@1 50.781 (51.741)	Prec@5 83.594 (81.272)
Epoch: [67][1710/14090]	Time 0.845 (0.769)	Data 0.001 (0.004)	Loss 1.7630 (1.8498)	Prec@1 48.438 (51.741)	Prec@5 82.031 (81.265)
Epoch: [67][1720/14090]	Time 0.734 (0.769)	Data 0.001 (0.004)	Loss 2.0527 (1.8497)	Prec@1 46.875 (51.745)	Prec@5 79.688 (81.266)
Epoch: [67][1730/14090]	Time 0.732 (0.769)	Data 0.001 (0.004)	Loss 1.7221 (1.8495)	Prec@1 53.906 (51.748)	Prec@5 82.031 (81.273)
Epoch: [67][1740/14090]	Time 0.776 (0.769)	Data 0.001 (0.004)	Loss 1.7562 (1.8493)	Prec@1 53.125 (51.752)	Prec@5 86.719 (81.274)
Epoch: [67][1750/14090]	Time 0.730 (0.769)	Data 0.001 (0.004)	Loss 1.7602 (1.8493)	Prec@1 50.000 (51.753)	Prec@5 82.812 (81.276)
Epoch: [67][1760/14090]	Time 0.756 (0.769)	Data 0.001 (0.004)	Loss 1.8671 (1.8496)	Prec@1 56.250 (51.744)	Prec@5 81.250 (81.278)
Epoch: [67][1770/14090]	Time 0.781 (0.769)	Data 0.001 (0.004)	Loss 2.3020 (1.8496)	Prec@1 38.281 (51.740)	Prec@5 71.094 (81.280)
Epoch: [67][1780/14090]	Time 0.839 (0.769)	Data 0.001 (0.004)	Loss 1.8529 (1.8502)	Prec@1 43.750 (51.717)	Prec@5 82.812 (81.274)
Epoch: [67][1790/14090]	Time 0.749 (0.769)	Data 0.001 (0.004)	Loss 1.8724 (1.8499)	Prec@1 55.469 (51.718)	Prec@5 82.031 (81.279)
Epoch: [67][1800/14090]	Time 0.747 (0.768)	Data 0.001 (0.004)	Loss 2.0356 (1.8499)	Prec@1 52.344 (51.719)	Prec@5 76.562 (81.281)
Epoch: [67][1810/14090]	Time 0.739 (0.769)	Data 0.001 (0.004)	Loss 1.8656 (1.8500)	Prec@1 53.906 (51.714)	Prec@5 80.469 (81.278)
Epoch: [67][1820/14090]	Time 0.729 (0.768)	Data 0.001 (0.004)	Loss 1.7931 (1.8494)	Prec@1 53.906 (51.726)	Prec@5 80.469 (81.290)
Epoch: [67][1830/14090]	Time 0.723 (0.768)	Data 0.001 (0.004)	Loss 1.9185 (1.8494)	Prec@1 46.094 (51.732)	Prec@5 84.375 (81.286)
Epoch: [67][1840/14090]	Time 0.781 (0.768)	Data 0.001 (0.004)	Loss 2.0154 (1.8497)	Prec@1 48.438 (51.720)	Prec@5 78.125 (81.281)
Epoch: [67][1850/14090]	Time 0.890 (0.768)	Data 0.001 (0.004)	Loss 1.9258 (1.8496)	Prec@1 45.312 (51.722)	Prec@5 78.125 (81.286)
Epoch: [67][1860/14090]	Time 0.730 (0.768)	Data 0.001 (0.004)	Loss 1.8990 (1.8498)	Prec@1 46.094 (51.710)	Prec@5 81.250 (81.285)
Epoch: [67][1870/14090]	Time 0.735 (0.768)	Data 0.001 (0.004)	Loss 1.9635 (1.8500)	Prec@1 53.906 (51.708)	Prec@5 78.125 (81.284)
Epoch: [67][1880/14090]	Time 0.750 (0.768)	Data 0.001 (0.004)	Loss 1.5136 (1.8497)	Prec@1 60.156 (51.704)	Prec@5 82.812 (81.288)
Epoch: [67][1890/14090]	Time 0.773 (0.768)	Data 0.001 (0.004)	Loss 1.8053 (1.8496)	Prec@1 49.219 (51.697)	Prec@5 80.469 (81.293)
Epoch: [67][1900/14090]	Time 0.734 (0.768)	Data 0.001 (0.004)	Loss 2.0606 (1.8499)	Prec@1 49.219 (51.686)	Prec@5 82.812 (81.288)
Epoch: [67][1910/14090]	Time 0.777 (0.768)	Data 0.001 (0.004)	Loss 1.9618 (1.8501)	Prec@1 54.688 (51.686)	Prec@5 85.156 (81.281)
Epoch: [67][1920/14090]	Time 0.850 (0.768)	Data 0.001 (0.004)	Loss 1.8929 (1.8503)	Prec@1 46.094 (51.681)	Prec@5 80.469 (81.275)
Epoch: [67][1930/14090]	Time 0.773 (0.768)	Data 0.001 (0.004)	Loss 1.9925 (1.8504)	Prec@1 45.312 (51.677)	Prec@5 77.344 (81.276)
Epoch: [67][1940/14090]	Time 0.738 (0.768)	Data 0.001 (0.004)	Loss 2.0250 (1.8505)	Prec@1 46.875 (51.674)	Prec@5 77.344 (81.274)
Epoch: [67][1950/14090]	Time 0.721 (0.768)	Data 0.001 (0.004)	Loss 1.9694 (1.8504)	Prec@1 45.312 (51.668)	Prec@5 77.344 (81.276)
Epoch: [67][1960/14090]	Time 0.730 (0.768)	Data 0.001 (0.004)	Loss 1.7918 (1.8506)	Prec@1 53.125 (51.664)	Prec@5 82.031 (81.265)
Epoch: [67][1970/14090]	Time 0.732 (0.768)	Data 0.001 (0.004)	Loss 1.7593 (1.8509)	Prec@1 51.562 (51.655)	Prec@5 85.156 (81.257)
Epoch: [67][1980/14090]	Time 0.724 (0.768)	Data 0.001 (0.004)	Loss 1.9520 (1.8510)	Prec@1 53.125 (51.654)	Prec@5 78.906 (81.256)
Epoch: [67][1990/14090]	Time 0.814 (0.768)	Data 0.001 (0.004)	Loss 1.9920 (1.8510)	Prec@1 51.562 (51.653)	Prec@5 76.562 (81.260)
Epoch: [67][2000/14090]	Time 0.749 (0.768)	Data 0.001 (0.004)	Loss 1.9054 (1.8512)	Prec@1 58.594 (51.654)	Prec@5 79.688 (81.259)
Epoch: [67][2010/14090]	Time 0.731 (0.768)	Data 0.005 (0.004)	Loss 1.8017 (1.8510)	Prec@1 47.656 (51.654)	Prec@5 85.156 (81.264)
Epoch: [67][2020/14090]	Time 0.738 (0.768)	Data 0.001 (0.004)	Loss 1.8479 (1.8512)	Prec@1 50.000 (51.656)	Prec@5 82.031 (81.259)
Epoch: [67][2030/14090]	Time 0.739 (0.768)	Data 0.001 (0.004)	Loss 1.5859 (1.8516)	Prec@1 60.156 (51.646)	Prec@5 83.594 (81.253)
Epoch: [67][2040/14090]	Time 0.761 (0.768)	Data 0.001 (0.004)	Loss 2.1276 (1.8516)	Prec@1 50.000 (51.643)	Prec@5 71.875 (81.248)
Epoch: [67][2050/14090]	Time 0.762 (0.768)	Data 0.001 (0.004)	Loss 1.9419 (1.8515)	Prec@1 47.656 (51.643)	Prec@5 82.812 (81.252)
Epoch: [67][2060/14090]	Time 0.849 (0.768)	Data 0.001 (0.004)	Loss 1.8607 (1.8517)	Prec@1 51.562 (51.635)	Prec@5 84.375 (81.245)
Epoch: [67][2070/14090]	Time 0.751 (0.768)	Data 0.001 (0.004)	Loss 1.9481 (1.8521)	Prec@1 50.781 (51.628)	Prec@5 78.906 (81.239)
Epoch: [67][2080/14090]	Time 0.741 (0.768)	Data 0.001 (0.004)	Loss 1.9127 (1.8517)	Prec@1 52.344 (51.634)	Prec@5 73.438 (81.238)
Epoch: [67][2090/14090]	Time 0.757 (0.768)	Data 0.001 (0.004)	Loss 1.9062 (1.8519)	Prec@1 46.875 (51.628)	Prec@5 83.594 (81.233)
Epoch: [67][2100/14090]	Time 0.727 (0.768)	Data 0.001 (0.004)	Loss 1.7079 (1.8518)	Prec@1 56.250 (51.624)	Prec@5 82.812 (81.235)
Epoch: [67][2110/14090]	Time 0.744 (0.768)	Data 0.001 (0.004)	Loss 2.2237 (1.8520)	Prec@1 41.406 (51.611)	Prec@5 75.000 (81.229)
Epoch: [67][2120/14090]	Time 0.748 (0.768)	Data 0.001 (0.004)	Loss 1.9794 (1.8521)	Prec@1 50.781 (51.615)	Prec@5 79.688 (81.224)
Epoch: [67][2130/14090]	Time 0.876 (0.768)	Data 0.001 (0.004)	Loss 2.0390 (1.8524)	Prec@1 50.000 (51.612)	Prec@5 71.875 (81.214)
Epoch: [67][2140/14090]	Time 0.734 (0.768)	Data 0.001 (0.004)	Loss 1.7376 (1.8526)	Prec@1 57.031 (51.615)	Prec@5 85.156 (81.211)
Epoch: [67][2150/14090]	Time 0.740 (0.768)	Data 0.001 (0.004)	Loss 1.6598 (1.8523)	Prec@1 60.156 (51.623)	Prec@5 84.375 (81.217)
Epoch: [67][2160/14090]	Time 0.750 (0.768)	Data 0.001 (0.004)	Loss 1.8113 (1.8525)	Prec@1 53.125 (51.621)	Prec@5 78.906 (81.208)
Epoch: [67][2170/14090]	Time 0.784 (0.768)	Data 0.001 (0.004)	Loss 1.7211 (1.8525)	Prec@1 56.250 (51.625)	Prec@5 81.250 (81.208)
Epoch: [67][2180/14090]	Time 0.744 (0.768)	Data 0.001 (0.004)	Loss 1.7189 (1.8524)	Prec@1 54.688 (51.634)	Prec@5 85.156 (81.213)
Epoch: [67][2190/14090]	Time 0.760 (0.768)	Data 0.001 (0.004)	Loss 1.8322 (1.8523)	Prec@1 50.781 (51.638)	Prec@5 84.375 (81.217)
Epoch: [67][2200/14090]	Time 0.903 (0.768)	Data 0.001 (0.004)	Loss 2.2088 (1.8526)	Prec@1 44.531 (51.634)	Prec@5 77.344 (81.214)
Epoch: [67][2210/14090]	Time 0.724 (0.768)	Data 0.001 (0.004)	Loss 2.0052 (1.8522)	Prec@1 50.000 (51.641)	Prec@5 76.562 (81.219)
Epoch: [67][2220/14090]	Time 0.730 (0.768)	Data 0.001 (0.004)	Loss 1.5339 (1.8521)	Prec@1 62.500 (51.641)	Prec@5 88.281 (81.223)
Epoch: [67][2230/14090]	Time 0.780 (0.768)	Data 0.001 (0.004)	Loss 1.6720 (1.8522)	Prec@1 57.031 (51.643)	Prec@5 81.250 (81.215)
Epoch: [67][2240/14090]	Time 0.723 (0.768)	Data 0.001 (0.003)	Loss 1.8190 (1.8524)	Prec@1 52.344 (51.643)	Prec@5 85.938 (81.214)
Epoch: [67][2250/14090]	Time 0.755 (0.768)	Data 0.001 (0.003)	Loss 1.6361 (1.8526)	Prec@1 53.906 (51.640)	Prec@5 82.812 (81.212)
Epoch: [67][2260/14090]	Time 0.775 (0.768)	Data 0.001 (0.003)	Loss 1.9148 (1.8525)	Prec@1 50.000 (51.645)	Prec@5 81.250 (81.215)
Epoch: [67][2270/14090]	Time 0.861 (0.768)	Data 0.001 (0.003)	Loss 1.8833 (1.8524)	Prec@1 53.906 (51.646)	Prec@5 82.031 (81.218)
Epoch: [67][2280/14090]	Time 0.741 (0.768)	Data 0.001 (0.003)	Loss 1.9094 (1.8523)	Prec@1 52.344 (51.652)	Prec@5 80.469 (81.220)
Epoch: [67][2290/14090]	Time 0.755 (0.768)	Data 0.001 (0.003)	Loss 2.0309 (1.8521)	Prec@1 50.000 (51.651)	Prec@5 78.906 (81.223)
Epoch: [67][2300/14090]	Time 0.762 (0.768)	Data 0.001 (0.003)	Loss 1.8054 (1.8518)	Prec@1 52.344 (51.663)	Prec@5 81.250 (81.227)
Epoch: [67][2310/14090]	Time 0.733 (0.768)	Data 0.001 (0.003)	Loss 2.1223 (1.8521)	Prec@1 46.875 (51.663)	Prec@5 78.906 (81.225)
Epoch: [67][2320/14090]	Time 0.753 (0.768)	Data 0.001 (0.003)	Loss 1.7686 (1.8522)	Prec@1 57.812 (51.665)	Prec@5 81.250 (81.221)
Epoch: [67][2330/14090]	Time 0.737 (0.768)	Data 0.001 (0.003)	Loss 1.8470 (1.8524)	Prec@1 50.781 (51.656)	Prec@5 81.250 (81.216)
Epoch: [67][2340/14090]	Time 0.896 (0.768)	Data 0.001 (0.003)	Loss 1.8244 (1.8522)	Prec@1 50.000 (51.669)	Prec@5 80.469 (81.219)
Epoch: [67][2350/14090]	Time 0.730 (0.768)	Data 0.001 (0.003)	Loss 1.8830 (1.8524)	Prec@1 60.156 (51.669)	Prec@5 79.688 (81.213)
Epoch: [67][2360/14090]	Time 0.744 (0.768)	Data 0.001 (0.003)	Loss 1.9844 (1.8525)	Prec@1 50.000 (51.665)	Prec@5 82.812 (81.212)
Epoch: [67][2370/14090]	Time 0.752 (0.768)	Data 0.001 (0.003)	Loss 1.7675 (1.8521)	Prec@1 54.688 (51.680)	Prec@5 80.469 (81.213)
Epoch: [67][2380/14090]	Time 0.745 (0.768)	Data 0.001 (0.003)	Loss 1.8188 (1.8525)	Prec@1 45.312 (51.671)	Prec@5 78.906 (81.202)
Epoch: [67][2390/14090]	Time 0.733 (0.768)	Data 0.001 (0.003)	Loss 2.0140 (1.8532)	Prec@1 46.875 (51.660)	Prec@5 78.125 (81.189)
Epoch: [67][2400/14090]	Time 0.760 (0.768)	Data 0.001 (0.003)	Loss 1.6539 (1.8532)	Prec@1 53.906 (51.661)	Prec@5 85.156 (81.189)
Epoch: [67][2410/14090]	Time 0.908 (0.768)	Data 0.001 (0.003)	Loss 1.8920 (1.8533)	Prec@1 46.094 (51.657)	Prec@5 84.375 (81.186)
Epoch: [67][2420/14090]	Time 0.723 (0.768)	Data 0.001 (0.003)	Loss 1.8944 (1.8533)	Prec@1 52.344 (51.654)	Prec@5 81.250 (81.185)
Epoch: [67][2430/14090]	Time 0.784 (0.768)	Data 0.001 (0.003)	Loss 1.8996 (1.8532)	Prec@1 46.094 (51.650)	Prec@5 77.344 (81.188)
Epoch: [67][2440/14090]	Time 0.772 (0.768)	Data 0.003 (0.003)	Loss 1.9664 (1.8537)	Prec@1 44.531 (51.642)	Prec@5 79.688 (81.178)
Epoch: [67][2450/14090]	Time 0.748 (0.768)	Data 0.001 (0.003)	Loss 1.8860 (1.8539)	Prec@1 50.781 (51.643)	Prec@5 82.812 (81.180)
Epoch: [67][2460/14090]	Time 0.733 (0.768)	Data 0.001 (0.003)	Loss 2.0241 (1.8538)	Prec@1 43.750 (51.639)	Prec@5 78.125 (81.181)
Epoch: [67][2470/14090]	Time 0.763 (0.768)	Data 0.001 (0.003)	Loss 1.8705 (1.8541)	Prec@1 53.125 (51.633)	Prec@5 82.812 (81.178)
Epoch: [67][2480/14090]	Time 0.898 (0.768)	Data 0.002 (0.003)	Loss 1.9406 (1.8541)	Prec@1 44.531 (51.634)	Prec@5 82.031 (81.181)
Epoch: [67][2490/14090]	Time 0.733 (0.768)	Data 0.001 (0.003)	Loss 1.9786 (1.8543)	Prec@1 44.531 (51.629)	Prec@5 79.688 (81.178)
Epoch: [67][2500/14090]	Time 0.726 (0.768)	Data 0.001 (0.003)	Loss 1.5606 (1.8541)	Prec@1 60.156 (51.632)	Prec@5 82.031 (81.181)
Epoch: [67][2510/14090]	Time 0.742 (0.768)	Data 0.001 (0.003)	Loss 1.7472 (1.8543)	Prec@1 49.219 (51.627)	Prec@5 82.812 (81.180)
Epoch: [67][2520/14090]	Time 0.768 (0.768)	Data 0.001 (0.003)	Loss 1.5617 (1.8542)	Prec@1 60.156 (51.628)	Prec@5 87.500 (81.182)
Epoch: [67][2530/14090]	Time 0.760 (0.768)	Data 0.001 (0.003)	Loss 1.9679 (1.8542)	Prec@1 52.344 (51.627)	Prec@5 79.688 (81.185)
Epoch: [67][2540/14090]	Time 0.784 (0.768)	Data 0.001 (0.003)	Loss 1.9361 (1.8544)	Prec@1 53.906 (51.620)	Prec@5 73.438 (81.181)
Epoch: [67][2550/14090]	Time 0.869 (0.768)	Data 0.001 (0.003)	Loss 1.8817 (1.8542)	Prec@1 48.438 (51.626)	Prec@5 80.469 (81.187)
Epoch: [67][2560/14090]	Time 0.762 (0.768)	Data 0.002 (0.003)	Loss 2.1693 (1.8542)	Prec@1 40.625 (51.627)	Prec@5 78.906 (81.185)
Epoch: [67][2570/14090]	Time 0.732 (0.768)	Data 0.001 (0.003)	Loss 1.8011 (1.8540)	Prec@1 46.094 (51.631)	Prec@5 83.594 (81.190)
Epoch: [67][2580/14090]	Time 0.734 (0.768)	Data 0.001 (0.003)	Loss 1.9158 (1.8538)	Prec@1 49.219 (51.634)	Prec@5 78.906 (81.187)
Epoch: [67][2590/14090]	Time 0.744 (0.768)	Data 0.001 (0.003)	Loss 1.6275 (1.8540)	Prec@1 53.906 (51.626)	Prec@5 84.375 (81.182)
Epoch: [67][2600/14090]	Time 0.762 (0.768)	Data 0.001 (0.003)	Loss 1.8016 (1.8540)	Prec@1 58.594 (51.629)	Prec@5 81.250 (81.179)
Epoch: [67][2610/14090]	Time 0.736 (0.768)	Data 0.001 (0.003)	Loss 1.7821 (1.8540)	Prec@1 55.469 (51.634)	Prec@5 82.812 (81.175)
Epoch: [67][2620/14090]	Time 0.863 (0.768)	Data 0.001 (0.003)	Loss 1.9291 (1.8540)	Prec@1 50.781 (51.631)	Prec@5 81.250 (81.170)
Epoch: [67][2630/14090]	Time 0.726 (0.768)	Data 0.001 (0.003)	Loss 2.0524 (1.8544)	Prec@1 46.094 (51.627)	Prec@5 78.906 (81.164)
Epoch: [67][2640/14090]	Time 0.753 (0.768)	Data 0.002 (0.003)	Loss 1.9004 (1.8545)	Prec@1 51.562 (51.628)	Prec@5 77.344 (81.159)
Epoch: [67][2650/14090]	Time 0.735 (0.768)	Data 0.001 (0.003)	Loss 1.7029 (1.8545)	Prec@1 59.375 (51.621)	Prec@5 85.938 (81.159)
Epoch: [67][2660/14090]	Time 0.752 (0.768)	Data 0.001 (0.003)	Loss 1.9417 (1.8545)	Prec@1 48.438 (51.615)	Prec@5 78.906 (81.161)
Epoch: [67][2670/14090]	Time 0.748 (0.768)	Data 0.001 (0.003)	Loss 2.0082 (1.8543)	Prec@1 46.094 (51.618)	Prec@5 80.469 (81.167)
Epoch: [67][2680/14090]	Time 0.742 (0.768)	Data 0.001 (0.003)	Loss 2.1615 (1.8546)	Prec@1 46.094 (51.608)	Prec@5 73.438 (81.159)
Epoch: [67][2690/14090]	Time 0.819 (0.768)	Data 0.001 (0.003)	Loss 1.6629 (1.8545)	Prec@1 57.812 (51.610)	Prec@5 85.938 (81.165)
Epoch: [67][2700/14090]	Time 0.737 (0.768)	Data 0.001 (0.003)	Loss 1.6992 (1.8543)	Prec@1 53.906 (51.615)	Prec@5 82.812 (81.164)
Epoch: [67][2710/14090]	Time 0.728 (0.768)	Data 0.001 (0.003)	Loss 1.7144 (1.8545)	Prec@1 51.562 (51.615)	Prec@5 82.031 (81.162)
Epoch: [67][2720/14090]	Time 0.736 (0.768)	Data 0.001 (0.003)	Loss 2.0256 (1.8545)	Prec@1 51.562 (51.614)	Prec@5 75.000 (81.163)
Epoch: [67][2730/14090]	Time 0.722 (0.768)	Data 0.001 (0.003)	Loss 2.1280 (1.8546)	Prec@1 46.094 (51.614)	Prec@5 75.781 (81.164)
Epoch: [67][2740/14090]	Time 0.736 (0.768)	Data 0.001 (0.003)	Loss 1.8179 (1.8545)	Prec@1 47.656 (51.620)	Prec@5 85.156 (81.168)
Epoch: [67][2750/14090]	Time 0.749 (0.768)	Data 0.001 (0.003)	Loss 1.8450 (1.8545)	Prec@1 56.250 (51.620)	Prec@5 77.344 (81.171)
Epoch: [67][2760/14090]	Time 0.884 (0.768)	Data 0.001 (0.003)	Loss 1.9195 (1.8544)	Prec@1 50.000 (51.621)	Prec@5 79.688 (81.170)
Epoch: [67][2770/14090]	Time 0.740 (0.768)	Data 0.001 (0.003)	Loss 1.6920 (1.8544)	Prec@1 57.812 (51.622)	Prec@5 83.594 (81.167)
Epoch: [67][2780/14090]	Time 0.730 (0.768)	Data 0.001 (0.003)	Loss 1.9307 (1.8545)	Prec@1 49.219 (51.626)	Prec@5 84.375 (81.167)
Epoch: [67][2790/14090]	Time 0.781 (0.768)	Data 0.001 (0.003)	Loss 2.1745 (1.8546)	Prec@1 40.625 (51.617)	Prec@5 77.344 (81.168)
Epoch: [67][2800/14090]	Time 0.774 (0.768)	Data 0.001 (0.003)	Loss 1.9985 (1.8545)	Prec@1 48.438 (51.619)	Prec@5 75.781 (81.169)
Epoch: [67][2810/14090]	Time 0.747 (0.768)	Data 0.001 (0.003)	Loss 2.0000 (1.8546)	Prec@1 46.875 (51.610)	Prec@5 75.781 (81.166)
Epoch: [67][2820/14090]	Time 0.755 (0.768)	Data 0.001 (0.003)	Loss 1.7710 (1.8549)	Prec@1 52.344 (51.604)	Prec@5 82.031 (81.159)
Epoch: [67][2830/14090]	Time 0.889 (0.768)	Data 0.001 (0.003)	Loss 1.8108 (1.8549)	Prec@1 52.344 (51.603)	Prec@5 82.031 (81.159)
Epoch: [67][2840/14090]	Time 0.719 (0.767)	Data 0.001 (0.003)	Loss 1.6921 (1.8550)	Prec@1 52.344 (51.599)	Prec@5 89.062 (81.161)
Epoch: [67][2850/14090]	Time 0.735 (0.767)	Data 0.001 (0.003)	Loss 2.1292 (1.8550)	Prec@1 44.531 (51.592)	Prec@5 71.094 (81.163)
Epoch: [67][2860/14090]	Time 0.735 (0.767)	Data 0.001 (0.003)	Loss 1.9673 (1.8549)	Prec@1 46.875 (51.594)	Prec@5 76.562 (81.168)
Epoch: [67][2870/14090]	Time 0.765 (0.767)	Data 0.001 (0.003)	Loss 1.9769 (1.8548)	Prec@1 49.219 (51.597)	Prec@5 78.906 (81.171)
Epoch: [67][2880/14090]	Time 0.739 (0.767)	Data 0.001 (0.003)	Loss 1.8776 (1.8549)	Prec@1 50.000 (51.595)	Prec@5 80.469 (81.168)
Epoch: [67][2890/14090]	Time 0.759 (0.767)	Data 0.001 (0.003)	Loss 1.8869 (1.8548)	Prec@1 47.656 (51.602)	Prec@5 76.562 (81.169)
Epoch: [67][2900/14090]	Time 0.838 (0.767)	Data 0.001 (0.003)	Loss 1.9151 (1.8548)	Prec@1 53.906 (51.605)	Prec@5 80.469 (81.169)
Epoch: [67][2910/14090]	Time 0.735 (0.767)	Data 0.001 (0.003)	Loss 1.7539 (1.8550)	Prec@1 50.000 (51.602)	Prec@5 81.250 (81.161)
Epoch: [67][2920/14090]	Time 0.744 (0.767)	Data 0.001 (0.003)	Loss 1.7901 (1.8547)	Prec@1 52.344 (51.609)	Prec@5 85.156 (81.167)
Epoch: [67][2930/14090]	Time 0.728 (0.767)	Data 0.001 (0.003)	Loss 1.8554 (1.8548)	Prec@1 53.125 (51.609)	Prec@5 78.906 (81.165)
Epoch: [67][2940/14090]	Time 0.723 (0.767)	Data 0.001 (0.003)	Loss 1.9567 (1.8546)	Prec@1 45.312 (51.614)	Prec@5 79.688 (81.165)
Epoch: [67][2950/14090]	Time 0.750 (0.767)	Data 0.001 (0.003)	Loss 1.7319 (1.8549)	Prec@1 53.125 (51.604)	Prec@5 78.906 (81.160)
Epoch: [67][2960/14090]	Time 0.784 (0.767)	Data 0.001 (0.003)	Loss 1.7487 (1.8546)	Prec@1 53.125 (51.612)	Prec@5 82.812 (81.164)
Epoch: [67][2970/14090]	Time 0.866 (0.767)	Data 0.001 (0.003)	Loss 1.7294 (1.8546)	Prec@1 55.469 (51.611)	Prec@5 78.125 (81.165)
Epoch: [67][2980/14090]	Time 0.735 (0.767)	Data 0.001 (0.003)	Loss 2.0328 (1.8548)	Prec@1 48.438 (51.606)	Prec@5 77.344 (81.161)
Epoch: [67][2990/14090]	Time 0.771 (0.767)	Data 0.001 (0.003)	Loss 1.8613 (1.8547)	Prec@1 51.562 (51.607)	Prec@5 79.688 (81.161)
Epoch: [67][3000/14090]	Time 0.732 (0.767)	Data 0.001 (0.003)	Loss 1.9234 (1.8548)	Prec@1 46.875 (51.606)	Prec@5 82.812 (81.159)
Epoch: [67][3010/14090]	Time 0.755 (0.767)	Data 0.001 (0.003)	Loss 1.7672 (1.8547)	Prec@1 53.906 (51.609)	Prec@5 83.594 (81.160)
Epoch: [67][3020/14090]	Time 0.735 (0.767)	Data 0.001 (0.003)	Loss 1.9061 (1.8546)	Prec@1 47.656 (51.611)	Prec@5 81.250 (81.166)
Epoch: [67][3030/14090]	Time 0.731 (0.767)	Data 0.001 (0.003)	Loss 1.8775 (1.8544)	Prec@1 50.781 (51.620)	Prec@5 83.594 (81.173)
Epoch: [67][3040/14090]	Time 0.942 (0.767)	Data 0.001 (0.003)	Loss 1.6623 (1.8542)	Prec@1 56.250 (51.625)	Prec@5 85.156 (81.179)
Epoch: [67][3050/14090]	Time 0.735 (0.767)	Data 0.001 (0.003)	Loss 1.7596 (1.8543)	Prec@1 57.812 (51.628)	Prec@5 83.594 (81.178)
Epoch: [67][3060/14090]	Time 0.745 (0.767)	Data 0.001 (0.003)	Loss 1.9119 (1.8543)	Prec@1 55.469 (51.629)	Prec@5 79.688 (81.176)
Epoch: [67][3070/14090]	Time 0.726 (0.767)	Data 0.001 (0.003)	Loss 2.2126 (1.8544)	Prec@1 45.312 (51.629)	Prec@5 76.562 (81.176)
Epoch: [67][3080/14090]	Time 0.771 (0.767)	Data 0.001 (0.003)	Loss 1.7535 (1.8544)	Prec@1 53.906 (51.627)	Prec@5 83.594 (81.176)
Epoch: [67][3090/14090]	Time 0.756 (0.767)	Data 0.001 (0.003)	Loss 1.6812 (1.8545)	Prec@1 52.344 (51.620)	Prec@5 90.625 (81.179)
Epoch: [67][3100/14090]	Time 0.763 (0.767)	Data 0.001 (0.003)	Loss 1.7238 (1.8543)	Prec@1 56.250 (51.621)	Prec@5 84.375 (81.182)
Epoch: [67][3110/14090]	Time 0.862 (0.767)	Data 0.001 (0.003)	Loss 1.8996 (1.8545)	Prec@1 52.344 (51.621)	Prec@5 81.250 (81.179)
Epoch: [67][3120/14090]	Time 0.751 (0.767)	Data 0.002 (0.003)	Loss 1.9782 (1.8547)	Prec@1 48.438 (51.616)	Prec@5 78.125 (81.173)
Epoch: [67][3130/14090]	Time 0.733 (0.767)	Data 0.001 (0.003)	Loss 1.7747 (1.8549)	Prec@1 63.281 (51.617)	Prec@5 82.812 (81.167)
Epoch: [67][3140/14090]	Time 0.742 (0.767)	Data 0.001 (0.003)	Loss 1.8702 (1.8551)	Prec@1 50.000 (51.610)	Prec@5 79.688 (81.164)
Epoch: [67][3150/14090]	Time 0.734 (0.767)	Data 0.001 (0.003)	Loss 1.8069 (1.8551)	Prec@1 57.031 (51.616)	Prec@5 85.156 (81.162)
Epoch: [67][3160/14090]	Time 0.753 (0.767)	Data 0.001 (0.003)	Loss 1.9697 (1.8550)	Prec@1 50.000 (51.616)	Prec@5 78.125 (81.165)
Epoch: [67][3170/14090]	Time 0.771 (0.767)	Data 0.001 (0.003)	Loss 1.7769 (1.8549)	Prec@1 56.250 (51.620)	Prec@5 80.469 (81.164)
Epoch: [67][3180/14090]	Time 0.827 (0.767)	Data 0.001 (0.003)	Loss 1.8984 (1.8551)	Prec@1 55.469 (51.622)	Prec@5 82.031 (81.160)
Epoch: [67][3190/14090]	Time 0.737 (0.767)	Data 0.001 (0.003)	Loss 2.0862 (1.8552)	Prec@1 46.094 (51.619)	Prec@5 79.688 (81.157)
Epoch: [67][3200/14090]	Time 0.765 (0.767)	Data 0.001 (0.003)	Loss 1.9425 (1.8551)	Prec@1 48.438 (51.624)	Prec@5 83.594 (81.157)
Epoch: [67][3210/14090]	Time 0.752 (0.767)	Data 0.001 (0.003)	Loss 2.1799 (1.8552)	Prec@1 48.438 (51.626)	Prec@5 71.094 (81.151)
Epoch: [67][3220/14090]	Time 0.774 (0.767)	Data 0.001 (0.003)	Loss 1.7052 (1.8551)	Prec@1 50.000 (51.629)	Prec@5 89.062 (81.154)
Epoch: [67][3230/14090]	Time 0.743 (0.767)	Data 0.001 (0.003)	Loss 1.9521 (1.8551)	Prec@1 53.125 (51.633)	Prec@5 77.344 (81.153)
Epoch: [67][3240/14090]	Time 0.778 (0.767)	Data 0.001 (0.003)	Loss 1.6771 (1.8553)	Prec@1 54.688 (51.627)	Prec@5 85.156 (81.149)
Epoch: [67][3250/14090]	Time 0.847 (0.767)	Data 0.001 (0.003)	Loss 1.7128 (1.8553)	Prec@1 60.156 (51.624)	Prec@5 84.375 (81.151)
Epoch: [67][3260/14090]	Time 0.741 (0.767)	Data 0.001 (0.003)	Loss 2.1016 (1.8555)	Prec@1 49.219 (51.616)	Prec@5 77.344 (81.149)
Epoch: [67][3270/14090]	Time 0.730 (0.767)	Data 0.001 (0.003)	Loss 1.9260 (1.8555)	Prec@1 50.781 (51.619)	Prec@5 82.812 (81.150)
Epoch: [67][3280/14090]	Time 0.766 (0.767)	Data 0.001 (0.003)	Loss 1.9205 (1.8553)	Prec@1 53.906 (51.620)	Prec@5 81.250 (81.151)
Epoch: [67][3290/14090]	Time 0.727 (0.767)	Data 0.001 (0.003)	Loss 1.6854 (1.8550)	Prec@1 53.125 (51.623)	Prec@5 85.156 (81.158)
Epoch: [67][3300/14090]	Time 0.756 (0.767)	Data 0.001 (0.003)	Loss 2.0335 (1.8549)	Prec@1 43.750 (51.624)	Prec@5 82.812 (81.164)
Epoch: [67][3310/14090]	Time 0.773 (0.767)	Data 0.001 (0.003)	Loss 1.9449 (1.8549)	Prec@1 51.562 (51.626)	Prec@5 78.906 (81.163)
Epoch: [67][3320/14090]	Time 0.878 (0.767)	Data 0.001 (0.003)	Loss 2.0701 (1.8551)	Prec@1 44.531 (51.621)	Prec@5 78.906 (81.161)
Epoch: [67][3330/14090]	Time 0.729 (0.767)	Data 0.001 (0.003)	Loss 1.9595 (1.8551)	Prec@1 54.688 (51.625)	Prec@5 75.781 (81.160)
Epoch: [67][3340/14090]	Time 0.754 (0.767)	Data 0.001 (0.003)	Loss 2.2813 (1.8552)	Prec@1 45.312 (51.623)	Prec@5 68.750 (81.157)
Epoch: [67][3350/14090]	Time 0.763 (0.767)	Data 0.001 (0.003)	Loss 1.8703 (1.8553)	Prec@1 51.562 (51.624)	Prec@5 77.344 (81.153)
Epoch: [67][3360/14090]	Time 0.742 (0.767)	Data 0.001 (0.003)	Loss 1.5482 (1.8554)	Prec@1 60.938 (51.626)	Prec@5 86.719 (81.150)
Epoch: [67][3370/14090]	Time 0.757 (0.767)	Data 0.001 (0.003)	Loss 1.8958 (1.8553)	Prec@1 45.312 (51.629)	Prec@5 82.812 (81.154)
Epoch: [67][3380/14090]	Time 0.764 (0.767)	Data 0.001 (0.003)	Loss 1.7133 (1.8553)	Prec@1 56.250 (51.628)	Prec@5 82.812 (81.155)
Epoch: [67][3390/14090]	Time 0.848 (0.767)	Data 0.001 (0.003)	Loss 2.0963 (1.8554)	Prec@1 48.438 (51.629)	Prec@5 75.781 (81.152)
Epoch: [67][3400/14090]	Time 0.749 (0.767)	Data 0.001 (0.003)	Loss 1.9574 (1.8554)	Prec@1 54.688 (51.634)	Prec@5 77.344 (81.152)
Epoch: [67][3410/14090]	Time 0.724 (0.767)	Data 0.001 (0.003)	Loss 1.7719 (1.8553)	Prec@1 61.719 (51.639)	Prec@5 82.031 (81.152)
Epoch: [67][3420/14090]	Time 0.746 (0.767)	Data 0.001 (0.003)	Loss 1.6543 (1.8553)	Prec@1 51.562 (51.638)	Prec@5 88.281 (81.152)
Epoch: [67][3430/14090]	Time 0.782 (0.767)	Data 0.001 (0.003)	Loss 2.0658 (1.8555)	Prec@1 42.969 (51.634)	Prec@5 81.250 (81.151)
Epoch: [67][3440/14090]	Time 0.754 (0.767)	Data 0.001 (0.003)	Loss 1.9031 (1.8556)	Prec@1 50.781 (51.632)	Prec@5 76.562 (81.147)
Epoch: [67][3450/14090]	Time 0.746 (0.767)	Data 0.001 (0.003)	Loss 1.8734 (1.8555)	Prec@1 46.875 (51.632)	Prec@5 78.125 (81.147)
Epoch: [67][3460/14090]	Time 0.833 (0.767)	Data 0.001 (0.003)	Loss 1.9096 (1.8557)	Prec@1 51.562 (51.625)	Prec@5 84.375 (81.142)
Epoch: [67][3470/14090]	Time 0.725 (0.767)	Data 0.001 (0.003)	Loss 2.0131 (1.8559)	Prec@1 45.312 (51.624)	Prec@5 78.125 (81.140)
Epoch: [67][3480/14090]	Time 0.762 (0.767)	Data 0.001 (0.003)	Loss 1.7202 (1.8560)	Prec@1 57.031 (51.625)	Prec@5 82.031 (81.136)
Epoch: [67][3490/14090]	Time 0.773 (0.767)	Data 0.001 (0.003)	Loss 1.9490 (1.8560)	Prec@1 45.312 (51.625)	Prec@5 84.375 (81.137)
Epoch: [67][3500/14090]	Time 0.781 (0.767)	Data 0.001 (0.003)	Loss 1.6979 (1.8559)	Prec@1 53.906 (51.627)	Prec@5 84.375 (81.139)
Epoch: [67][3510/14090]	Time 0.742 (0.767)	Data 0.001 (0.003)	Loss 1.7466 (1.8559)	Prec@1 53.906 (51.627)	Prec@5 86.719 (81.139)
Epoch: [67][3520/14090]	Time 0.771 (0.767)	Data 0.001 (0.003)	Loss 1.8338 (1.8557)	Prec@1 53.906 (51.630)	Prec@5 81.250 (81.143)
Epoch: [67][3530/14090]	Time 0.899 (0.767)	Data 0.001 (0.003)	Loss 1.7068 (1.8555)	Prec@1 52.344 (51.631)	Prec@5 85.938 (81.148)
Epoch: [67][3540/14090]	Time 0.727 (0.767)	Data 0.001 (0.003)	Loss 1.5742 (1.8553)	Prec@1 57.031 (51.634)	Prec@5 85.156 (81.151)
Epoch: [67][3550/14090]	Time 0.733 (0.767)	Data 0.001 (0.003)	Loss 1.7123 (1.8552)	Prec@1 54.688 (51.643)	Prec@5 84.375 (81.151)
Epoch: [67][3560/14090]	Time 0.723 (0.767)	Data 0.001 (0.003)	Loss 1.7707 (1.8552)	Prec@1 54.688 (51.644)	Prec@5 83.594 (81.152)
Epoch: [67][3570/14090]	Time 0.734 (0.767)	Data 0.001 (0.003)	Loss 1.8989 (1.8552)	Prec@1 47.656 (51.643)	Prec@5 77.344 (81.148)
Epoch: [67][3580/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 1.7055 (1.8553)	Prec@1 54.688 (51.640)	Prec@5 83.594 (81.146)
Epoch: [67][3590/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 2.0504 (1.8555)	Prec@1 53.906 (51.636)	Prec@5 73.438 (81.144)
Epoch: [67][3600/14090]	Time 0.902 (0.767)	Data 0.001 (0.002)	Loss 1.7133 (1.8555)	Prec@1 55.469 (51.635)	Prec@5 85.156 (81.146)
Epoch: [67][3610/14090]	Time 0.724 (0.767)	Data 0.001 (0.002)	Loss 2.1053 (1.8555)	Prec@1 46.875 (51.632)	Prec@5 77.344 (81.145)
Epoch: [67][3620/14090]	Time 0.762 (0.767)	Data 0.001 (0.002)	Loss 2.1435 (1.8559)	Prec@1 46.094 (51.627)	Prec@5 77.344 (81.136)
Epoch: [67][3630/14090]	Time 0.757 (0.767)	Data 0.001 (0.002)	Loss 1.8519 (1.8560)	Prec@1 48.438 (51.624)	Prec@5 80.469 (81.134)
Epoch: [67][3640/14090]	Time 0.773 (0.767)	Data 0.001 (0.002)	Loss 1.8726 (1.8561)	Prec@1 49.219 (51.617)	Prec@5 78.125 (81.133)
Epoch: [67][3650/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 1.7696 (1.8563)	Prec@1 52.344 (51.614)	Prec@5 85.156 (81.131)
Epoch: [67][3660/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 1.6925 (1.8564)	Prec@1 53.906 (51.612)	Prec@5 85.938 (81.132)
Epoch: [67][3670/14090]	Time 0.887 (0.767)	Data 0.001 (0.002)	Loss 1.6718 (1.8563)	Prec@1 52.344 (51.617)	Prec@5 85.156 (81.130)
Epoch: [67][3680/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 1.9192 (1.8563)	Prec@1 45.312 (51.617)	Prec@5 80.469 (81.131)
Epoch: [67][3690/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 1.8226 (1.8562)	Prec@1 54.688 (51.614)	Prec@5 82.031 (81.135)
Epoch: [67][3700/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 1.6644 (1.8561)	Prec@1 58.594 (51.620)	Prec@5 84.375 (81.136)
Epoch: [67][3710/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 1.9867 (1.8562)	Prec@1 47.656 (51.614)	Prec@5 80.469 (81.137)
Epoch: [67][3720/14090]	Time 0.761 (0.767)	Data 0.001 (0.002)	Loss 1.7023 (1.8561)	Prec@1 52.344 (51.619)	Prec@5 85.938 (81.138)
Epoch: [67][3730/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 1.8840 (1.8559)	Prec@1 49.219 (51.620)	Prec@5 82.812 (81.142)
Epoch: [67][3740/14090]	Time 0.811 (0.767)	Data 0.001 (0.002)	Loss 1.6522 (1.8558)	Prec@1 54.688 (51.625)	Prec@5 84.375 (81.144)
Epoch: [67][3750/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 2.0465 (1.8561)	Prec@1 50.000 (51.618)	Prec@5 81.250 (81.143)
Epoch: [67][3760/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 1.5668 (1.8560)	Prec@1 62.500 (51.618)	Prec@5 87.500 (81.145)
Epoch: [67][3770/14090]	Time 0.773 (0.767)	Data 0.001 (0.002)	Loss 2.3278 (1.8558)	Prec@1 45.312 (51.623)	Prec@5 79.688 (81.148)
Epoch: [67][3780/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 1.7472 (1.8558)	Prec@1 53.125 (51.624)	Prec@5 84.375 (81.148)
Epoch: [67][3790/14090]	Time 0.721 (0.767)	Data 0.001 (0.002)	Loss 1.7603 (1.8557)	Prec@1 54.688 (51.623)	Prec@5 80.469 (81.150)
Epoch: [67][3800/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 1.9295 (1.8557)	Prec@1 53.125 (51.620)	Prec@5 79.688 (81.148)
Epoch: [67][3810/14090]	Time 0.915 (0.767)	Data 0.001 (0.002)	Loss 1.8202 (1.8557)	Prec@1 50.000 (51.620)	Prec@5 78.125 (81.149)
Epoch: [67][3820/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 1.6466 (1.8554)	Prec@1 57.812 (51.628)	Prec@5 85.156 (81.152)
Epoch: [67][3830/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 1.6661 (1.8553)	Prec@1 57.031 (51.629)	Prec@5 89.062 (81.155)
Epoch: [67][3840/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 2.0210 (1.8554)	Prec@1 53.125 (51.628)	Prec@5 78.906 (81.154)
Epoch: [67][3850/14090]	Time 0.772 (0.767)	Data 0.001 (0.002)	Loss 1.7737 (1.8555)	Prec@1 51.562 (51.626)	Prec@5 80.469 (81.153)
Epoch: [67][3860/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 1.7797 (1.8553)	Prec@1 46.875 (51.630)	Prec@5 84.375 (81.156)
Epoch: [67][3870/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.0417 (1.8555)	Prec@1 49.219 (51.628)	Prec@5 78.906 (81.155)
Epoch: [67][3880/14090]	Time 0.876 (0.767)	Data 0.001 (0.002)	Loss 2.0663 (1.8558)	Prec@1 46.875 (51.620)	Prec@5 76.562 (81.150)
Epoch: [67][3890/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 2.0559 (1.8557)	Prec@1 53.125 (51.622)	Prec@5 75.781 (81.150)
Epoch: [67][3900/14090]	Time 0.776 (0.767)	Data 0.001 (0.002)	Loss 1.8963 (1.8558)	Prec@1 52.344 (51.620)	Prec@5 80.469 (81.150)
Epoch: [67][3910/14090]	Time 0.720 (0.767)	Data 0.001 (0.002)	Loss 1.7923 (1.8558)	Prec@1 56.250 (51.618)	Prec@5 81.250 (81.148)
Epoch: [67][3920/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 1.8910 (1.8558)	Prec@1 49.219 (51.618)	Prec@5 83.594 (81.148)
Epoch: [67][3930/14090]	Time 0.725 (0.767)	Data 0.001 (0.002)	Loss 2.0197 (1.8558)	Prec@1 47.656 (51.618)	Prec@5 76.562 (81.148)
Epoch: [67][3940/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 1.5548 (1.8557)	Prec@1 60.938 (51.622)	Prec@5 85.156 (81.148)
Epoch: [67][3950/14090]	Time 0.837 (0.766)	Data 0.001 (0.002)	Loss 1.8010 (1.8557)	Prec@1 57.812 (51.622)	Prec@5 81.250 (81.152)
Epoch: [67][3960/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 2.1684 (1.8557)	Prec@1 42.969 (51.622)	Prec@5 76.562 (81.151)
Epoch: [67][3970/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 1.8243 (1.8558)	Prec@1 56.250 (51.624)	Prec@5 78.125 (81.149)
Epoch: [67][3980/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 1.6868 (1.8560)	Prec@1 58.594 (51.624)	Prec@5 83.594 (81.142)
Epoch: [67][3990/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 1.9087 (1.8561)	Prec@1 46.094 (51.624)	Prec@5 76.562 (81.138)
Epoch: [67][4000/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 1.9453 (1.8561)	Prec@1 55.469 (51.629)	Prec@5 79.688 (81.138)
Epoch: [67][4010/14090]	Time 0.725 (0.766)	Data 0.001 (0.002)	Loss 1.8254 (1.8560)	Prec@1 51.562 (51.628)	Prec@5 79.688 (81.136)
Epoch: [67][4020/14090]	Time 0.877 (0.766)	Data 0.001 (0.002)	Loss 1.8971 (1.8562)	Prec@1 47.656 (51.623)	Prec@5 83.594 (81.136)
Epoch: [67][4030/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 1.7103 (1.8562)	Prec@1 53.906 (51.614)	Prec@5 84.375 (81.138)
Epoch: [67][4040/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 1.6604 (1.8561)	Prec@1 56.250 (51.612)	Prec@5 84.375 (81.139)
Epoch: [67][4050/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 1.6210 (1.8559)	Prec@1 57.031 (51.615)	Prec@5 85.938 (81.144)
Epoch: [67][4060/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 1.8910 (1.8560)	Prec@1 53.906 (51.611)	Prec@5 81.250 (81.142)
Epoch: [67][4070/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 2.0224 (1.8561)	Prec@1 48.438 (51.610)	Prec@5 73.438 (81.141)
Epoch: [67][4080/14090]	Time 0.777 (0.766)	Data 0.001 (0.002)	Loss 1.9835 (1.8563)	Prec@1 46.875 (51.605)	Prec@5 81.250 (81.138)
Epoch: [67][4090/14090]	Time 0.832 (0.766)	Data 0.001 (0.002)	Loss 2.0003 (1.8564)	Prec@1 46.094 (51.603)	Prec@5 84.375 (81.135)
Epoch: [67][4100/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 1.8911 (1.8565)	Prec@1 50.781 (51.597)	Prec@5 79.688 (81.131)
Epoch: [67][4110/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 1.7604 (1.8565)	Prec@1 50.781 (51.599)	Prec@5 82.031 (81.133)
Epoch: [67][4120/14090]	Time 0.723 (0.766)	Data 0.001 (0.002)	Loss 1.7159 (1.8563)	Prec@1 54.688 (51.602)	Prec@5 81.250 (81.134)
Epoch: [67][4130/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 2.0446 (1.8562)	Prec@1 45.312 (51.600)	Prec@5 80.469 (81.137)
Epoch: [67][4140/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 1.8847 (1.8560)	Prec@1 51.562 (51.603)	Prec@5 79.688 (81.141)
Epoch: [67][4150/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 1.8135 (1.8560)	Prec@1 53.125 (51.599)	Prec@5 80.469 (81.140)
Epoch: [67][4160/14090]	Time 0.962 (0.766)	Data 0.001 (0.002)	Loss 1.9124 (1.8563)	Prec@1 49.219 (51.594)	Prec@5 78.125 (81.136)
Epoch: [67][4170/14090]	Time 0.724 (0.766)	Data 0.001 (0.002)	Loss 2.0407 (1.8564)	Prec@1 46.875 (51.589)	Prec@5 77.344 (81.134)
Epoch: [67][4180/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 1.8023 (1.8564)	Prec@1 52.344 (51.586)	Prec@5 78.906 (81.135)
Epoch: [67][4190/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.1590 (1.8564)	Prec@1 46.875 (51.589)	Prec@5 74.219 (81.136)
Epoch: [67][4200/14090]	Time 0.738 (0.766)	Data 0.002 (0.002)	Loss 1.7800 (1.8563)	Prec@1 52.344 (51.586)	Prec@5 82.812 (81.138)
Epoch: [67][4210/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 1.7073 (1.8563)	Prec@1 57.031 (51.589)	Prec@5 82.031 (81.141)
Epoch: [67][4220/14090]	Time 0.724 (0.766)	Data 0.001 (0.002)	Loss 1.6586 (1.8562)	Prec@1 58.594 (51.593)	Prec@5 85.938 (81.144)
Epoch: [67][4230/14090]	Time 0.865 (0.766)	Data 0.001 (0.002)	Loss 1.5132 (1.8560)	Prec@1 63.281 (51.600)	Prec@5 87.500 (81.150)
Epoch: [67][4240/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 1.8702 (1.8560)	Prec@1 50.781 (51.598)	Prec@5 82.812 (81.147)
Epoch: [67][4250/14090]	Time 0.779 (0.766)	Data 0.001 (0.002)	Loss 1.8567 (1.8561)	Prec@1 53.906 (51.597)	Prec@5 82.812 (81.148)
Epoch: [67][4260/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 2.1293 (1.8563)	Prec@1 42.969 (51.592)	Prec@5 78.906 (81.145)
Epoch: [67][4270/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 1.7853 (1.8564)	Prec@1 50.781 (51.588)	Prec@5 82.812 (81.143)
Epoch: [67][4280/14090]	Time 0.718 (0.766)	Data 0.001 (0.002)	Loss 2.1417 (1.8566)	Prec@1 44.531 (51.582)	Prec@5 76.562 (81.141)
Epoch: [67][4290/14090]	Time 0.780 (0.766)	Data 0.001 (0.002)	Loss 1.9264 (1.8566)	Prec@1 54.688 (51.583)	Prec@5 79.688 (81.138)
Epoch: [67][4300/14090]	Time 0.878 (0.766)	Data 0.001 (0.002)	Loss 1.8434 (1.8565)	Prec@1 54.688 (51.586)	Prec@5 81.250 (81.140)
Epoch: [67][4310/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 1.9069 (1.8566)	Prec@1 50.000 (51.584)	Prec@5 80.469 (81.139)
Epoch: [67][4320/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 1.6774 (1.8567)	Prec@1 51.562 (51.581)	Prec@5 86.719 (81.140)
Epoch: [67][4330/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 1.7566 (1.8568)	Prec@1 53.125 (51.576)	Prec@5 85.156 (81.141)
Epoch: [67][4340/14090]	Time 0.763 (0.766)	Data 0.001 (0.002)	Loss 2.1828 (1.8568)	Prec@1 46.875 (51.573)	Prec@5 76.562 (81.141)
Epoch: [67][4350/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 1.8067 (1.8567)	Prec@1 55.469 (51.576)	Prec@5 82.812 (81.142)
Epoch: [67][4360/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 2.0486 (1.8568)	Prec@1 48.438 (51.575)	Prec@5 81.250 (81.144)
Epoch: [67][4370/14090]	Time 0.908 (0.766)	Data 0.001 (0.002)	Loss 2.0499 (1.8568)	Prec@1 47.656 (51.576)	Prec@5 76.562 (81.145)
Epoch: [67][4380/14090]	Time 0.728 (0.766)	Data 0.001 (0.002)	Loss 1.9706 (1.8565)	Prec@1 50.000 (51.583)	Prec@5 78.125 (81.150)
Epoch: [67][4390/14090]	Time 0.726 (0.766)	Data 0.001 (0.002)	Loss 2.0967 (1.8565)	Prec@1 45.312 (51.579)	Prec@5 76.562 (81.151)
Epoch: [67][4400/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 1.7487 (1.8564)	Prec@1 50.781 (51.580)	Prec@5 85.156 (81.153)
Epoch: [67][4410/14090]	Time 0.722 (0.766)	Data 0.001 (0.002)	Loss 1.6299 (1.8565)	Prec@1 57.031 (51.577)	Prec@5 79.688 (81.151)
Epoch: [67][4420/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 1.7546 (1.8565)	Prec@1 54.688 (51.578)	Prec@5 80.469 (81.149)
Epoch: [67][4430/14090]	Time 0.720 (0.766)	Data 0.001 (0.002)	Loss 1.8054 (1.8565)	Prec@1 53.906 (51.580)	Prec@5 82.031 (81.148)
Epoch: [67][4440/14090]	Time 0.903 (0.766)	Data 0.001 (0.002)	Loss 1.7878 (1.8564)	Prec@1 50.000 (51.581)	Prec@5 81.250 (81.150)
Epoch: [67][4450/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 1.9436 (1.8563)	Prec@1 49.219 (51.584)	Prec@5 78.125 (81.152)
Epoch: [67][4460/14090]	Time 0.739 (0.766)	Data 0.002 (0.002)	Loss 1.8047 (1.8564)	Prec@1 53.906 (51.580)	Prec@5 83.594 (81.154)
Epoch: [67][4470/14090]	Time 0.774 (0.766)	Data 0.001 (0.002)	Loss 1.7219 (1.8563)	Prec@1 54.688 (51.582)	Prec@5 86.719 (81.155)
Epoch: [67][4480/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 1.9132 (1.8563)	Prec@1 50.000 (51.582)	Prec@5 81.250 (81.157)
Epoch: [67][4490/14090]	Time 0.759 (0.766)	Data 0.002 (0.002)	Loss 2.2267 (1.8565)	Prec@1 48.438 (51.581)	Prec@5 74.219 (81.154)
Epoch: [67][4500/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.1925 (1.8563)	Prec@1 45.312 (51.580)	Prec@5 72.656 (81.156)
Epoch: [67][4510/14090]	Time 0.867 (0.766)	Data 0.001 (0.002)	Loss 1.8116 (1.8562)	Prec@1 50.781 (51.580)	Prec@5 82.031 (81.157)
Epoch: [67][4520/14090]	Time 0.724 (0.766)	Data 0.001 (0.002)	Loss 1.8011 (1.8562)	Prec@1 55.469 (51.581)	Prec@5 81.250 (81.156)
Epoch: [67][4530/14090]	Time 0.797 (0.766)	Data 0.004 (0.002)	Loss 1.9844 (1.8563)	Prec@1 49.219 (51.579)	Prec@5 82.031 (81.156)
Epoch: [67][4540/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 1.7978 (1.8565)	Prec@1 51.562 (51.578)	Prec@5 83.594 (81.155)
Epoch: [67][4550/14090]	Time 0.777 (0.766)	Data 0.001 (0.002)	Loss 1.9523 (1.8565)	Prec@1 49.219 (51.578)	Prec@5 77.344 (81.155)
Epoch: [67][4560/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 1.9953 (1.8565)	Prec@1 46.875 (51.579)	Prec@5 81.250 (81.153)
Epoch: [67][4570/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 1.8971 (1.8567)	Prec@1 50.000 (51.578)	Prec@5 78.125 (81.150)
Epoch: [67][4580/14090]	Time 0.864 (0.766)	Data 0.001 (0.002)	Loss 1.7547 (1.8566)	Prec@1 51.562 (51.581)	Prec@5 83.594 (81.152)
Epoch: [67][4590/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 1.9789 (1.8566)	Prec@1 50.781 (51.581)	Prec@5 75.781 (81.152)
Epoch: [67][4600/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 1.8717 (1.8568)	Prec@1 53.125 (51.575)	Prec@5 79.688 (81.148)
Epoch: [67][4610/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 1.8840 (1.8568)	Prec@1 54.688 (51.574)	Prec@5 80.469 (81.150)
Epoch: [67][4620/14090]	Time 0.726 (0.766)	Data 0.001 (0.002)	Loss 2.0463 (1.8568)	Prec@1 50.000 (51.579)	Prec@5 78.125 (81.151)
Epoch: [67][4630/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 1.9010 (1.8569)	Prec@1 52.344 (51.572)	Prec@5 75.781 (81.149)
Epoch: [67][4640/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 1.9095 (1.8569)	Prec@1 50.000 (51.570)	Prec@5 80.469 (81.146)
Epoch: [67][4650/14090]	Time 0.873 (0.766)	Data 0.001 (0.002)	Loss 1.8048 (1.8569)	Prec@1 54.688 (51.570)	Prec@5 81.250 (81.148)
Epoch: [67][4660/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 1.6596 (1.8569)	Prec@1 55.469 (51.569)	Prec@5 80.469 (81.147)
Epoch: [67][4670/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 1.8622 (1.8568)	Prec@1 45.312 (51.571)	Prec@5 82.031 (81.148)
Epoch: [67][4680/14090]	Time 0.778 (0.766)	Data 0.001 (0.002)	Loss 1.7888 (1.8568)	Prec@1 53.906 (51.568)	Prec@5 82.031 (81.149)
Epoch: [67][4690/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 1.9467 (1.8567)	Prec@1 53.906 (51.568)	Prec@5 78.906 (81.150)
Epoch: [67][4700/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 1.7835 (1.8567)	Prec@1 50.000 (51.568)	Prec@5 84.375 (81.151)
Epoch: [67][4710/14090]	Time 0.728 (0.766)	Data 0.001 (0.002)	Loss 1.7211 (1.8566)	Prec@1 53.125 (51.570)	Prec@5 86.719 (81.154)
Epoch: [67][4720/14090]	Time 0.847 (0.766)	Data 0.001 (0.002)	Loss 1.7618 (1.8567)	Prec@1 53.906 (51.572)	Prec@5 82.031 (81.150)
Epoch: [67][4730/14090]	Time 0.724 (0.766)	Data 0.001 (0.002)	Loss 1.6824 (1.8567)	Prec@1 53.125 (51.573)	Prec@5 85.156 (81.149)
Epoch: [67][4740/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 1.9527 (1.8565)	Prec@1 48.438 (51.575)	Prec@5 78.906 (81.148)
Epoch: [67][4750/14090]	Time 0.726 (0.766)	Data 0.001 (0.002)	Loss 1.9643 (1.8566)	Prec@1 50.000 (51.573)	Prec@5 78.125 (81.147)
Epoch: [67][4760/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 2.2341 (1.8566)	Prec@1 42.188 (51.573)	Prec@5 76.562 (81.147)
Epoch: [67][4770/14090]	Time 0.765 (0.766)	Data 0.001 (0.002)	Loss 1.8314 (1.8568)	Prec@1 50.000 (51.568)	Prec@5 80.469 (81.144)
Epoch: [67][4780/14090]	Time 0.775 (0.766)	Data 0.001 (0.002)	Loss 1.7852 (1.8566)	Prec@1 53.125 (51.575)	Prec@5 82.031 (81.147)
Epoch: [67][4790/14090]	Time 0.904 (0.766)	Data 0.001 (0.002)	Loss 1.6060 (1.8564)	Prec@1 59.375 (51.580)	Prec@5 86.719 (81.151)
Epoch: [67][4800/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 1.7599 (1.8564)	Prec@1 50.781 (51.582)	Prec@5 84.375 (81.151)
Epoch: [67][4810/14090]	Time 0.789 (0.766)	Data 0.001 (0.002)	Loss 1.9250 (1.8564)	Prec@1 53.906 (51.580)	Prec@5 79.688 (81.150)
Epoch: [67][4820/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 1.6384 (1.8563)	Prec@1 57.031 (51.582)	Prec@5 84.375 (81.151)
Epoch: [67][4830/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 1.9536 (1.8564)	Prec@1 46.875 (51.579)	Prec@5 79.688 (81.150)
Epoch: [67][4840/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 1.8493 (1.8562)	Prec@1 50.000 (51.583)	Prec@5 81.250 (81.153)
Epoch: [67][4850/14090]	Time 0.785 (0.766)	Data 0.001 (0.002)	Loss 1.9903 (1.8563)	Prec@1 47.656 (51.582)	Prec@5 79.688 (81.153)
Epoch: [67][4860/14090]	Time 0.873 (0.766)	Data 0.001 (0.002)	Loss 1.7176 (1.8561)	Prec@1 53.125 (51.585)	Prec@5 83.594 (81.155)
Epoch: [67][4870/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 1.8599 (1.8563)	Prec@1 47.656 (51.581)	Prec@5 80.469 (81.151)
Epoch: [67][4880/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 1.9126 (1.8563)	Prec@1 53.125 (51.586)	Prec@5 80.469 (81.153)
Epoch: [67][4890/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 1.8241 (1.8563)	Prec@1 56.250 (51.586)	Prec@5 77.344 (81.150)
Epoch: [67][4900/14090]	Time 0.727 (0.766)	Data 0.001 (0.002)	Loss 1.8081 (1.8563)	Prec@1 49.219 (51.586)	Prec@5 81.250 (81.152)
Epoch: [67][4910/14090]	Time 0.764 (0.766)	Data 0.001 (0.002)	Loss 2.0793 (1.8562)	Prec@1 52.344 (51.591)	Prec@5 74.219 (81.151)
Epoch: [67][4920/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 1.9047 (1.8565)	Prec@1 48.438 (51.586)	Prec@5 78.906 (81.147)
Epoch: [67][4930/14090]	Time 0.922 (0.766)	Data 0.001 (0.002)	Loss 1.8509 (1.8565)	Prec@1 52.344 (51.583)	Prec@5 85.156 (81.148)
Epoch: [67][4940/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 1.9287 (1.8567)	Prec@1 54.688 (51.579)	Prec@5 77.344 (81.147)
Epoch: [67][4950/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 1.8423 (1.8567)	Prec@1 53.906 (51.579)	Prec@5 83.594 (81.148)
Epoch: [67][4960/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 1.8394 (1.8567)	Prec@1 51.562 (51.578)	Prec@5 82.812 (81.146)
Epoch: [67][4970/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 1.7079 (1.8567)	Prec@1 51.562 (51.580)	Prec@5 82.812 (81.146)
Epoch: [67][4980/14090]	Time 0.764 (0.766)	Data 0.001 (0.002)	Loss 1.7452 (1.8567)	Prec@1 47.656 (51.580)	Prec@5 86.719 (81.148)
Epoch: [67][4990/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 1.9070 (1.8568)	Prec@1 50.000 (51.579)	Prec@5 82.812 (81.147)
Epoch: [67][5000/14090]	Time 0.817 (0.766)	Data 0.001 (0.002)	Loss 2.0307 (1.8568)	Prec@1 51.562 (51.579)	Prec@5 75.781 (81.147)
Epoch: [67][5010/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 1.8548 (1.8569)	Prec@1 49.219 (51.577)	Prec@5 82.812 (81.144)
Epoch: [67][5020/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 1.8978 (1.8570)	Prec@1 49.219 (51.575)	Prec@5 85.938 (81.143)
Epoch: [67][5030/14090]	Time 0.719 (0.766)	Data 0.001 (0.002)	Loss 2.0463 (1.8572)	Prec@1 53.906 (51.572)	Prec@5 78.125 (81.141)
Epoch: [67][5040/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 1.7794 (1.8570)	Prec@1 53.125 (51.577)	Prec@5 83.594 (81.141)
Epoch: [67][5050/14090]	Time 0.766 (0.766)	Data 0.001 (0.002)	Loss 1.8370 (1.8570)	Prec@1 50.781 (51.577)	Prec@5 85.156 (81.141)
Epoch: [67][5060/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 1.6607 (1.8570)	Prec@1 50.000 (51.579)	Prec@5 89.844 (81.143)
Epoch: [67][5070/14090]	Time 0.924 (0.766)	Data 0.001 (0.002)	Loss 1.6826 (1.8569)	Prec@1 61.719 (51.582)	Prec@5 84.375 (81.145)
Epoch: [67][5080/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 1.7424 (1.8569)	Prec@1 54.688 (51.578)	Prec@5 82.812 (81.145)
Epoch: [67][5090/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 1.9804 (1.8568)	Prec@1 50.781 (51.581)	Prec@5 78.906 (81.147)
Epoch: [67][5100/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 1.7120 (1.8569)	Prec@1 53.125 (51.580)	Prec@5 85.156 (81.146)
Epoch: [67][5110/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 1.9639 (1.8568)	Prec@1 51.562 (51.578)	Prec@5 78.125 (81.148)
Epoch: [67][5120/14090]	Time 0.771 (0.766)	Data 0.001 (0.002)	Loss 1.9073 (1.8568)	Prec@1 49.219 (51.580)	Prec@5 82.031 (81.149)
Epoch: [67][5130/14090]	Time 0.766 (0.766)	Data 0.001 (0.002)	Loss 1.8383 (1.8569)	Prec@1 50.781 (51.578)	Prec@5 81.250 (81.146)
Epoch: [67][5140/14090]	Time 0.870 (0.766)	Data 0.001 (0.002)	Loss 1.8623 (1.8569)	Prec@1 51.562 (51.575)	Prec@5 81.250 (81.144)
Epoch: [67][5150/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 1.9233 (1.8568)	Prec@1 49.219 (51.578)	Prec@5 82.031 (81.146)
Epoch: [67][5160/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 1.7523 (1.8568)	Prec@1 53.125 (51.575)	Prec@5 84.375 (81.148)
Epoch: [67][5170/14090]	Time 0.748 (0.766)	Data 0.002 (0.002)	Loss 1.9917 (1.8570)	Prec@1 51.562 (51.574)	Prec@5 78.906 (81.145)
Epoch: [67][5180/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 1.8007 (1.8570)	Prec@1 50.781 (51.572)	Prec@5 82.812 (81.141)
Epoch: [67][5190/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.0013 (1.8570)	Prec@1 49.219 (51.572)	Prec@5 78.906 (81.141)
Epoch: [67][5200/14090]	Time 0.767 (0.766)	Data 0.001 (0.002)	Loss 2.0280 (1.8572)	Prec@1 46.875 (51.569)	Prec@5 76.562 (81.136)
Epoch: [67][5210/14090]	Time 0.881 (0.766)	Data 0.001 (0.002)	Loss 1.7188 (1.8572)	Prec@1 54.688 (51.571)	Prec@5 82.812 (81.135)
Epoch: [67][5220/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 1.7709 (1.8570)	Prec@1 53.125 (51.576)	Prec@5 81.250 (81.139)
Epoch: [67][5230/14090]	Time 0.783 (0.766)	Data 0.001 (0.002)	Loss 2.2900 (1.8571)	Prec@1 42.969 (51.572)	Prec@5 75.000 (81.138)
Epoch: [67][5240/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 1.7174 (1.8571)	Prec@1 53.125 (51.572)	Prec@5 85.156 (81.140)
Epoch: [67][5250/14090]	Time 0.723 (0.766)	Data 0.001 (0.002)	Loss 2.1856 (1.8571)	Prec@1 42.188 (51.569)	Prec@5 74.219 (81.141)
Epoch: [67][5260/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 1.8751 (1.8570)	Prec@1 48.438 (51.569)	Prec@5 82.031 (81.141)
Epoch: [67][5270/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 1.7956 (1.8570)	Prec@1 53.125 (51.566)	Prec@5 82.812 (81.142)
Epoch: [67][5280/14090]	Time 0.884 (0.766)	Data 0.001 (0.002)	Loss 2.0298 (1.8570)	Prec@1 47.656 (51.567)	Prec@5 78.906 (81.142)
Epoch: [67][5290/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 1.7236 (1.8569)	Prec@1 56.250 (51.568)	Prec@5 86.719 (81.145)
Epoch: [67][5300/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 1.6051 (1.8568)	Prec@1 60.156 (51.572)	Prec@5 86.719 (81.147)
Epoch: [67][5310/14090]	Time 0.719 (0.766)	Data 0.001 (0.002)	Loss 1.8520 (1.8570)	Prec@1 46.094 (51.569)	Prec@5 81.250 (81.145)
Epoch: [67][5320/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 2.0535 (1.8571)	Prec@1 46.094 (51.568)	Prec@5 81.250 (81.145)
Epoch: [67][5330/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 1.6805 (1.8570)	Prec@1 51.562 (51.570)	Prec@5 85.938 (81.148)
Epoch: [67][5340/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 2.0031 (1.8572)	Prec@1 55.469 (51.568)	Prec@5 79.688 (81.142)
Epoch: [67][5350/14090]	Time 0.837 (0.766)	Data 0.001 (0.002)	Loss 1.7982 (1.8572)	Prec@1 52.344 (51.567)	Prec@5 82.812 (81.141)
Epoch: [67][5360/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 1.9608 (1.8572)	Prec@1 55.469 (51.570)	Prec@5 74.219 (81.144)
Epoch: [67][5370/14090]	Time 0.761 (0.766)	Data 0.001 (0.002)	Loss 1.9419 (1.8573)	Prec@1 53.906 (51.566)	Prec@5 81.250 (81.140)
Epoch: [67][5380/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 1.8625 (1.8573)	Prec@1 46.875 (51.561)	Prec@5 80.469 (81.142)
Epoch: [67][5390/14090]	Time 0.725 (0.766)	Data 0.001 (0.002)	Loss 2.1134 (1.8576)	Prec@1 46.875 (51.555)	Prec@5 76.562 (81.136)
Epoch: [67][5400/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.1894 (1.8577)	Prec@1 43.750 (51.554)	Prec@5 76.562 (81.135)
Epoch: [67][5410/14090]	Time 0.772 (0.766)	Data 0.001 (0.002)	Loss 1.7560 (1.8576)	Prec@1 50.000 (51.552)	Prec@5 82.031 (81.134)
Epoch: [67][5420/14090]	Time 0.846 (0.766)	Data 0.001 (0.002)	Loss 1.8152 (1.8576)	Prec@1 50.000 (51.554)	Prec@5 84.375 (81.137)
Epoch: [67][5430/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 1.8977 (1.8577)	Prec@1 54.688 (51.553)	Prec@5 81.250 (81.132)
Epoch: [67][5440/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 1.9818 (1.8577)	Prec@1 52.344 (51.554)	Prec@5 75.781 (81.134)
Epoch: [67][5450/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 1.8157 (1.8577)	Prec@1 50.000 (51.554)	Prec@5 84.375 (81.133)
Epoch: [67][5460/14090]	Time 0.774 (0.766)	Data 0.001 (0.002)	Loss 2.1686 (1.8577)	Prec@1 39.062 (51.553)	Prec@5 75.781 (81.131)
Epoch: [67][5470/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 1.8496 (1.8576)	Prec@1 54.688 (51.557)	Prec@5 80.469 (81.133)
Epoch: [67][5480/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 2.1870 (1.8575)	Prec@1 42.188 (51.558)	Prec@5 73.438 (81.134)
Epoch: [67][5490/14090]	Time 0.856 (0.766)	Data 0.001 (0.002)	Loss 1.6490 (1.8576)	Prec@1 61.719 (51.559)	Prec@5 85.156 (81.131)
Epoch: [67][5500/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 1.8149 (1.8575)	Prec@1 53.906 (51.564)	Prec@5 85.156 (81.134)
Epoch: [67][5510/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.0990 (1.8576)	Prec@1 44.531 (51.561)	Prec@5 76.562 (81.131)
Epoch: [67][5520/14090]	Time 0.769 (0.766)	Data 0.001 (0.002)	Loss 1.6777 (1.8576)	Prec@1 57.031 (51.562)	Prec@5 87.500 (81.131)
Epoch: [67][5530/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 1.7232 (1.8577)	Prec@1 54.688 (51.563)	Prec@5 84.375 (81.131)
Epoch: [67][5540/14090]	Time 0.780 (0.766)	Data 0.001 (0.002)	Loss 1.9886 (1.8576)	Prec@1 51.562 (51.562)	Prec@5 80.469 (81.133)
Epoch: [67][5550/14090]	Time 0.777 (0.766)	Data 0.001 (0.002)	Loss 1.9678 (1.8576)	Prec@1 45.312 (51.559)	Prec@5 82.031 (81.134)
Epoch: [67][5560/14090]	Time 0.915 (0.766)	Data 0.001 (0.002)	Loss 1.8123 (1.8576)	Prec@1 55.469 (51.558)	Prec@5 81.250 (81.133)
Epoch: [67][5570/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 1.9306 (1.8578)	Prec@1 53.125 (51.556)	Prec@5 75.000 (81.131)
Epoch: [67][5580/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 1.9447 (1.8578)	Prec@1 47.656 (51.558)	Prec@5 76.562 (81.130)
Epoch: [67][5590/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 1.8462 (1.8577)	Prec@1 49.219 (51.560)	Prec@5 82.812 (81.131)
Epoch: [67][5600/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.0305 (1.8577)	Prec@1 42.969 (51.558)	Prec@5 77.344 (81.133)
Epoch: [67][5610/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 1.9567 (1.8578)	Prec@1 50.000 (51.555)	Prec@5 82.031 (81.132)
Epoch: [67][5620/14090]	Time 0.785 (0.766)	Data 0.001 (0.002)	Loss 1.8151 (1.8578)	Prec@1 47.656 (51.556)	Prec@5 80.469 (81.132)
Epoch: [67][5630/14090]	Time 0.847 (0.766)	Data 0.001 (0.002)	Loss 1.8435 (1.8579)	Prec@1 53.125 (51.553)	Prec@5 80.469 (81.131)
Epoch: [67][5640/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 2.0681 (1.8579)	Prec@1 47.656 (51.555)	Prec@5 78.906 (81.136)
Epoch: [67][5650/14090]	Time 0.751 (0.765)	Data 0.001 (0.002)	Loss 2.0006 (1.8579)	Prec@1 50.000 (51.560)	Prec@5 82.031 (81.134)
Epoch: [67][5660/14090]	Time 0.740 (0.765)	Data 0.001 (0.002)	Loss 1.9159 (1.8578)	Prec@1 52.344 (51.560)	Prec@5 78.906 (81.134)
Epoch: [67][5670/14090]	Time 0.740 (0.765)	Data 0.001 (0.002)	Loss 2.0724 (1.8578)	Prec@1 50.781 (51.560)	Prec@5 77.344 (81.134)
Epoch: [67][5680/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.0066 (1.8577)	Prec@1 42.188 (51.562)	Prec@5 79.688 (81.137)
Epoch: [67][5690/14090]	Time 0.732 (0.765)	Data 0.001 (0.002)	Loss 1.7588 (1.8577)	Prec@1 51.562 (51.564)	Prec@5 85.156 (81.137)
Epoch: [67][5700/14090]	Time 0.874 (0.765)	Data 0.001 (0.002)	Loss 2.0620 (1.8576)	Prec@1 46.094 (51.564)	Prec@5 79.688 (81.139)
Epoch: [67][5710/14090]	Time 0.735 (0.765)	Data 0.001 (0.002)	Loss 1.7743 (1.8576)	Prec@1 47.656 (51.565)	Prec@5 86.719 (81.140)
Epoch: [67][5720/14090]	Time 0.748 (0.765)	Data 0.001 (0.002)	Loss 1.6848 (1.8576)	Prec@1 54.688 (51.564)	Prec@5 87.500 (81.141)
Epoch: [67][5730/14090]	Time 0.774 (0.766)	Data 0.001 (0.002)	Loss 1.8516 (1.8574)	Prec@1 55.469 (51.569)	Prec@5 82.031 (81.142)
Epoch: [67][5740/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 1.6732 (1.8573)	Prec@1 53.125 (51.569)	Prec@5 84.375 (81.143)
Epoch: [67][5750/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 2.1211 (1.8572)	Prec@1 46.094 (51.571)	Prec@5 75.781 (81.142)
Epoch: [67][5760/14090]	Time 0.728 (0.765)	Data 0.001 (0.002)	Loss 1.7270 (1.8573)	Prec@1 54.688 (51.570)	Prec@5 84.375 (81.142)
Epoch: [67][5770/14090]	Time 0.900 (0.766)	Data 0.001 (0.002)	Loss 1.5711 (1.8573)	Prec@1 57.812 (51.570)	Prec@5 88.281 (81.143)
Epoch: [67][5780/14090]	Time 0.725 (0.765)	Data 0.001 (0.002)	Loss 1.5852 (1.8572)	Prec@1 57.031 (51.570)	Prec@5 86.719 (81.145)
Epoch: [67][5790/14090]	Time 0.747 (0.765)	Data 0.001 (0.002)	Loss 2.1480 (1.8574)	Prec@1 46.094 (51.567)	Prec@5 77.344 (81.143)
Epoch: [67][5800/14090]	Time 0.730 (0.765)	Data 0.001 (0.002)	Loss 1.9783 (1.8574)	Prec@1 52.344 (51.567)	Prec@5 78.125 (81.144)
Epoch: [67][5810/14090]	Time 0.730 (0.765)	Data 0.001 (0.002)	Loss 1.8831 (1.8574)	Prec@1 52.344 (51.567)	Prec@5 78.125 (81.144)
Epoch: [67][5820/14090]	Time 0.757 (0.765)	Data 0.001 (0.002)	Loss 2.1420 (1.8574)	Prec@1 39.844 (51.565)	Prec@5 72.656 (81.144)
Epoch: [67][5830/14090]	Time 0.730 (0.765)	Data 0.001 (0.002)	Loss 1.8142 (1.8573)	Prec@1 52.344 (51.565)	Prec@5 84.375 (81.145)
Epoch: [67][5840/14090]	Time 0.834 (0.765)	Data 0.001 (0.002)	Loss 1.9933 (1.8575)	Prec@1 50.000 (51.564)	Prec@5 78.906 (81.142)
Epoch: [67][5850/14090]	Time 0.732 (0.765)	Data 0.001 (0.002)	Loss 1.6880 (1.8577)	Prec@1 55.469 (51.559)	Prec@5 85.156 (81.139)
Epoch: [67][5860/14090]	Time 0.725 (0.765)	Data 0.003 (0.002)	Loss 1.9554 (1.8575)	Prec@1 44.531 (51.560)	Prec@5 83.594 (81.142)
Epoch: [67][5870/14090]	Time 0.740 (0.765)	Data 0.001 (0.002)	Loss 1.8201 (1.8576)	Prec@1 54.688 (51.556)	Prec@5 79.688 (81.141)
Epoch: [67][5880/14090]	Time 0.729 (0.765)	Data 0.001 (0.002)	Loss 1.7686 (1.8576)	Prec@1 52.344 (51.558)	Prec@5 85.156 (81.140)
Epoch: [67][5890/14090]	Time 0.737 (0.765)	Data 0.001 (0.002)	Loss 1.9682 (1.8577)	Prec@1 48.438 (51.557)	Prec@5 78.906 (81.137)
Epoch: [67][5900/14090]	Time 0.776 (0.765)	Data 0.001 (0.002)	Loss 1.8597 (1.8576)	Prec@1 52.344 (51.559)	Prec@5 81.250 (81.138)
Epoch: [67][5910/14090]	Time 0.855 (0.765)	Data 0.001 (0.002)	Loss 2.0550 (1.8578)	Prec@1 47.656 (51.553)	Prec@5 75.000 (81.135)
Epoch: [67][5920/14090]	Time 0.745 (0.765)	Data 0.001 (0.002)	Loss 1.7770 (1.8577)	Prec@1 46.875 (51.554)	Prec@5 81.250 (81.135)
Epoch: [67][5930/14090]	Time 0.745 (0.765)	Data 0.001 (0.002)	Loss 2.0433 (1.8578)	Prec@1 51.562 (51.551)	Prec@5 75.000 (81.131)
Epoch: [67][5940/14090]	Time 0.722 (0.765)	Data 0.001 (0.002)	Loss 1.5803 (1.8577)	Prec@1 57.812 (51.553)	Prec@5 90.625 (81.133)
Epoch: [67][5950/14090]	Time 0.736 (0.765)	Data 0.001 (0.002)	Loss 1.6639 (1.8577)	Prec@1 56.250 (51.551)	Prec@5 80.469 (81.135)
Epoch: [67][5960/14090]	Time 0.756 (0.765)	Data 0.001 (0.002)	Loss 2.0750 (1.8578)	Prec@1 46.875 (51.550)	Prec@5 77.344 (81.134)
Epoch: [67][5970/14090]	Time 0.773 (0.765)	Data 0.001 (0.002)	Loss 1.9177 (1.8577)	Prec@1 50.781 (51.549)	Prec@5 82.031 (81.138)
Epoch: [67][5980/14090]	Time 0.873 (0.765)	Data 0.001 (0.002)	Loss 2.2718 (1.8580)	Prec@1 41.406 (51.544)	Prec@5 72.656 (81.135)
Epoch: [67][5990/14090]	Time 0.742 (0.765)	Data 0.001 (0.002)	Loss 1.6300 (1.8580)	Prec@1 56.250 (51.544)	Prec@5 85.156 (81.133)
Epoch: [67][6000/14090]	Time 0.730 (0.765)	Data 0.001 (0.002)	Loss 2.1968 (1.8582)	Prec@1 41.406 (51.543)	Prec@5 75.781 (81.130)
Epoch: [67][6010/14090]	Time 0.750 (0.765)	Data 0.001 (0.002)	Loss 1.9191 (1.8582)	Prec@1 46.094 (51.544)	Prec@5 84.375 (81.132)
Epoch: [67][6020/14090]	Time 0.730 (0.765)	Data 0.001 (0.002)	Loss 1.7453 (1.8583)	Prec@1 50.781 (51.541)	Prec@5 84.375 (81.131)
Epoch: [67][6030/14090]	Time 0.727 (0.765)	Data 0.001 (0.002)	Loss 1.7267 (1.8582)	Prec@1 56.250 (51.542)	Prec@5 82.031 (81.131)
Epoch: [67][6040/14090]	Time 0.720 (0.765)	Data 0.001 (0.002)	Loss 2.0651 (1.8582)	Prec@1 42.969 (51.544)	Prec@5 80.469 (81.132)
Epoch: [67][6050/14090]	Time 0.844 (0.765)	Data 0.001 (0.002)	Loss 1.7695 (1.8582)	Prec@1 59.375 (51.547)	Prec@5 80.469 (81.131)
Epoch: [67][6060/14090]	Time 0.749 (0.765)	Data 0.001 (0.002)	Loss 1.8799 (1.8582)	Prec@1 48.438 (51.548)	Prec@5 80.469 (81.131)
Epoch: [67][6070/14090]	Time 0.734 (0.765)	Data 0.001 (0.002)	Loss 2.0372 (1.8582)	Prec@1 46.875 (51.548)	Prec@5 78.906 (81.131)
Epoch: [67][6080/14090]	Time 0.781 (0.765)	Data 0.001 (0.002)	Loss 1.6863 (1.8581)	Prec@1 58.594 (51.551)	Prec@5 81.250 (81.136)
Epoch: [67][6090/14090]	Time 0.734 (0.765)	Data 0.001 (0.002)	Loss 1.7236 (1.8580)	Prec@1 53.906 (51.553)	Prec@5 80.469 (81.136)
Epoch: [67][6100/14090]	Time 0.736 (0.765)	Data 0.001 (0.002)	Loss 1.7919 (1.8579)	Prec@1 53.125 (51.555)	Prec@5 82.031 (81.136)
Epoch: [67][6110/14090]	Time 0.724 (0.765)	Data 0.001 (0.002)	Loss 1.7820 (1.8580)	Prec@1 51.562 (51.553)	Prec@5 82.812 (81.134)
Epoch: [67][6120/14090]	Time 0.871 (0.765)	Data 0.001 (0.002)	Loss 2.0146 (1.8580)	Prec@1 52.344 (51.553)	Prec@5 76.562 (81.136)
Epoch: [67][6130/14090]	Time 0.749 (0.765)	Data 0.001 (0.002)	Loss 2.0473 (1.8580)	Prec@1 45.312 (51.552)	Prec@5 82.031 (81.137)
Epoch: [67][6140/14090]	Time 0.752 (0.765)	Data 0.001 (0.002)	Loss 1.7521 (1.8582)	Prec@1 53.906 (51.549)	Prec@5 82.812 (81.133)
Epoch: [67][6150/14090]	Time 0.723 (0.765)	Data 0.001 (0.002)	Loss 1.8848 (1.8581)	Prec@1 50.000 (51.550)	Prec@5 79.688 (81.133)
Epoch: [67][6160/14090]	Time 0.734 (0.765)	Data 0.001 (0.002)	Loss 1.7281 (1.8583)	Prec@1 57.031 (51.545)	Prec@5 85.156 (81.133)
Epoch: [67][6170/14090]	Time 0.764 (0.765)	Data 0.001 (0.002)	Loss 1.7854 (1.8582)	Prec@1 56.250 (51.546)	Prec@5 81.250 (81.134)
Epoch: [67][6180/14090]	Time 0.770 (0.765)	Data 0.001 (0.002)	Loss 1.7854 (1.8582)	Prec@1 48.438 (51.544)	Prec@5 85.156 (81.133)
Epoch: [67][6190/14090]	Time 0.850 (0.765)	Data 0.001 (0.002)	Loss 1.8813 (1.8582)	Prec@1 49.219 (51.544)	Prec@5 83.594 (81.135)
Epoch: [67][6200/14090]	Time 0.740 (0.765)	Data 0.001 (0.002)	Loss 1.8961 (1.8582)	Prec@1 47.656 (51.544)	Prec@5 84.375 (81.135)
Epoch: [67][6210/14090]	Time 0.778 (0.765)	Data 0.001 (0.002)	Loss 2.1909 (1.8583)	Prec@1 47.656 (51.543)	Prec@5 73.438 (81.132)
Epoch: [67][6220/14090]	Time 0.727 (0.765)	Data 0.001 (0.002)	Loss 2.0115 (1.8584)	Prec@1 46.875 (51.544)	Prec@5 79.688 (81.132)
Epoch: [67][6230/14090]	Time 0.743 (0.765)	Data 0.001 (0.002)	Loss 2.0087 (1.8584)	Prec@1 50.781 (51.544)	Prec@5 78.906 (81.131)
Epoch: [67][6240/14090]	Time 0.749 (0.765)	Data 0.001 (0.002)	Loss 1.9403 (1.8584)	Prec@1 49.219 (51.541)	Prec@5 81.250 (81.132)
Epoch: [67][6250/14090]	Time 0.756 (0.765)	Data 0.001 (0.002)	Loss 1.7809 (1.8584)	Prec@1 50.781 (51.540)	Prec@5 83.594 (81.133)
Epoch: [67][6260/14090]	Time 0.873 (0.765)	Data 0.001 (0.002)	Loss 1.8771 (1.8585)	Prec@1 47.656 (51.537)	Prec@5 80.469 (81.132)
Epoch: [67][6270/14090]	Time 0.776 (0.765)	Data 0.001 (0.002)	Loss 1.9972 (1.8585)	Prec@1 47.656 (51.537)	Prec@5 80.469 (81.132)
Epoch: [67][6280/14090]	Time 0.733 (0.765)	Data 0.001 (0.002)	Loss 2.0826 (1.8586)	Prec@1 42.188 (51.533)	Prec@5 79.688 (81.132)
Epoch: [67][6290/14090]	Time 0.757 (0.765)	Data 0.001 (0.002)	Loss 1.9076 (1.8586)	Prec@1 46.875 (51.532)	Prec@5 81.250 (81.134)
Epoch: [67][6300/14090]	Time 0.726 (0.765)	Data 0.001 (0.002)	Loss 1.8203 (1.8587)	Prec@1 56.250 (51.533)	Prec@5 83.594 (81.133)
Epoch: [67][6310/14090]	Time 0.752 (0.765)	Data 0.001 (0.002)	Loss 1.8618 (1.8586)	Prec@1 52.344 (51.537)	Prec@5 81.250 (81.135)
Epoch: [67][6320/14090]	Time 0.768 (0.765)	Data 0.001 (0.002)	Loss 1.9577 (1.8586)	Prec@1 51.562 (51.538)	Prec@5 80.469 (81.136)
Epoch: [67][6330/14090]	Time 0.877 (0.765)	Data 0.001 (0.002)	Loss 1.8377 (1.8586)	Prec@1 57.031 (51.535)	Prec@5 82.812 (81.132)
Epoch: [67][6340/14090]	Time 0.728 (0.765)	Data 0.001 (0.002)	Loss 1.5573 (1.8585)	Prec@1 58.594 (51.538)	Prec@5 85.156 (81.134)
Epoch: [67][6350/14090]	Time 0.748 (0.765)	Data 0.001 (0.002)	Loss 1.7256 (1.8586)	Prec@1 54.688 (51.537)	Prec@5 85.938 (81.134)
Epoch: [67][6360/14090]	Time 0.756 (0.765)	Data 0.001 (0.002)	Loss 1.9073 (1.8587)	Prec@1 50.000 (51.537)	Prec@5 78.906 (81.135)
Epoch: [67][6370/14090]	Time 0.753 (0.765)	Data 0.001 (0.002)	Loss 2.1277 (1.8586)	Prec@1 43.750 (51.537)	Prec@5 75.781 (81.136)
Epoch: [67][6380/14090]	Time 0.738 (0.765)	Data 0.001 (0.002)	Loss 1.7681 (1.8586)	Prec@1 53.125 (51.535)	Prec@5 85.156 (81.138)
Epoch: [67][6390/14090]	Time 0.775 (0.765)	Data 0.001 (0.002)	Loss 1.7965 (1.8586)	Prec@1 53.906 (51.535)	Prec@5 82.812 (81.136)
Epoch: [67][6400/14090]	Time 0.868 (0.765)	Data 0.001 (0.002)	Loss 2.0380 (1.8587)	Prec@1 53.125 (51.533)	Prec@5 75.000 (81.134)
Epoch: [67][6410/14090]	Time 0.750 (0.765)	Data 0.001 (0.002)	Loss 1.6353 (1.8586)	Prec@1 55.469 (51.536)	Prec@5 85.938 (81.138)
Epoch: [67][6420/14090]	Time 0.751 (0.765)	Data 0.001 (0.002)	Loss 2.1882 (1.8588)	Prec@1 49.219 (51.531)	Prec@5 74.219 (81.134)
Epoch: [67][6430/14090]	Time 0.746 (0.765)	Data 0.001 (0.002)	Loss 1.9768 (1.8589)	Prec@1 46.094 (51.527)	Prec@5 78.906 (81.132)
Epoch: [67][6440/14090]	Time 0.746 (0.765)	Data 0.001 (0.002)	Loss 1.8864 (1.8589)	Prec@1 53.125 (51.529)	Prec@5 82.031 (81.134)
Epoch: [67][6450/14090]	Time 0.725 (0.765)	Data 0.002 (0.002)	Loss 1.8914 (1.8589)	Prec@1 53.125 (51.528)	Prec@5 81.250 (81.134)
Epoch: [67][6460/14090]	Time 0.760 (0.765)	Data 0.001 (0.002)	Loss 2.0450 (1.8590)	Prec@1 47.656 (51.526)	Prec@5 76.562 (81.129)
Epoch: [67][6470/14090]	Time 0.848 (0.765)	Data 0.001 (0.002)	Loss 1.9523 (1.8591)	Prec@1 46.875 (51.524)	Prec@5 78.906 (81.126)
Epoch: [67][6480/14090]	Time 0.729 (0.765)	Data 0.001 (0.002)	Loss 1.8071 (1.8590)	Prec@1 50.000 (51.526)	Prec@5 84.375 (81.129)
Epoch: [67][6490/14090]	Time 0.741 (0.765)	Data 0.001 (0.002)	Loss 2.0815 (1.8590)	Prec@1 42.188 (51.526)	Prec@5 78.906 (81.129)
Epoch: [67][6500/14090]	Time 0.723 (0.765)	Data 0.001 (0.002)	Loss 1.8899 (1.8591)	Prec@1 53.125 (51.525)	Prec@5 82.812 (81.129)
Epoch: [67][6510/14090]	Time 0.736 (0.765)	Data 0.001 (0.002)	Loss 1.9878 (1.8590)	Prec@1 43.750 (51.525)	Prec@5 82.812 (81.129)
Epoch: [67][6520/14090]	Time 0.735 (0.765)	Data 0.001 (0.002)	Loss 1.5888 (1.8590)	Prec@1 57.031 (51.527)	Prec@5 87.500 (81.130)
Epoch: [67][6530/14090]	Time 0.747 (0.765)	Data 0.001 (0.002)	Loss 1.7152 (1.8589)	Prec@1 50.781 (51.528)	Prec@5 82.812 (81.129)
Epoch: [67][6540/14090]	Time 0.849 (0.765)	Data 0.001 (0.002)	Loss 1.8309 (1.8589)	Prec@1 50.000 (51.527)	Prec@5 82.812 (81.128)
Epoch: [67][6550/14090]	Time 0.726 (0.765)	Data 0.001 (0.002)	Loss 1.7803 (1.8588)	Prec@1 51.562 (51.528)	Prec@5 82.031 (81.129)
Epoch: [67][6560/14090]	Time 0.740 (0.765)	Data 0.001 (0.002)	Loss 1.8159 (1.8589)	Prec@1 53.906 (51.528)	Prec@5 82.031 (81.129)
Epoch: [67][6570/14090]	Time 0.781 (0.765)	Data 0.001 (0.002)	Loss 1.6523 (1.8589)	Prec@1 56.250 (51.530)	Prec@5 83.594 (81.129)
Epoch: [67][6580/14090]	Time 0.732 (0.765)	Data 0.001 (0.002)	Loss 1.7681 (1.8588)	Prec@1 54.688 (51.532)	Prec@5 80.469 (81.131)
Epoch: [67][6590/14090]	Time 0.737 (0.765)	Data 0.000 (0.002)	Loss 1.7548 (1.8589)	Prec@1 50.781 (51.528)	Prec@5 80.469 (81.128)
Epoch: [67][6600/14090]	Time 0.767 (0.765)	Data 0.001 (0.002)	Loss 1.7593 (1.8588)	Prec@1 55.469 (51.531)	Prec@5 81.250 (81.130)
Epoch: [67][6610/14090]	Time 0.880 (0.765)	Data 0.001 (0.002)	Loss 1.7096 (1.8588)	Prec@1 50.000 (51.529)	Prec@5 85.938 (81.129)
Epoch: [67][6620/14090]	Time 0.730 (0.765)	Data 0.001 (0.002)	Loss 1.8165 (1.8589)	Prec@1 51.562 (51.527)	Prec@5 83.594 (81.127)
Epoch: [67][6630/14090]	Time 0.732 (0.765)	Data 0.001 (0.002)	Loss 1.8841 (1.8590)	Prec@1 50.781 (51.524)	Prec@5 82.031 (81.125)
Epoch: [67][6640/14090]	Time 0.726 (0.765)	Data 0.001 (0.002)	Loss 2.1345 (1.8590)	Prec@1 43.750 (51.524)	Prec@5 74.219 (81.126)
Epoch: [67][6650/14090]	Time 0.731 (0.765)	Data 0.001 (0.002)	Loss 2.1069 (1.8591)	Prec@1 46.094 (51.522)	Prec@5 75.781 (81.126)
Epoch: [67][6660/14090]	Time 0.740 (0.765)	Data 0.001 (0.002)	Loss 1.4450 (1.8591)	Prec@1 65.625 (51.522)	Prec@5 86.719 (81.126)
Epoch: [67][6670/14090]	Time 0.747 (0.765)	Data 0.001 (0.002)	Loss 1.8061 (1.8592)	Prec@1 48.438 (51.521)	Prec@5 82.031 (81.122)
Epoch: [67][6680/14090]	Time 0.898 (0.765)	Data 0.001 (0.002)	Loss 1.6659 (1.8591)	Prec@1 53.906 (51.521)	Prec@5 82.031 (81.121)
Epoch: [67][6690/14090]	Time 0.730 (0.765)	Data 0.001 (0.002)	Loss 1.8603 (1.8592)	Prec@1 52.344 (51.520)	Prec@5 85.156 (81.120)
Epoch: [67][6700/14090]	Time 0.729 (0.765)	Data 0.001 (0.002)	Loss 2.1890 (1.8592)	Prec@1 47.656 (51.522)	Prec@5 76.562 (81.120)
Epoch: [67][6710/14090]	Time 0.737 (0.765)	Data 0.001 (0.002)	Loss 1.8528 (1.8591)	Prec@1 49.219 (51.521)	Prec@5 80.469 (81.122)
Epoch: [67][6720/14090]	Time 0.731 (0.765)	Data 0.001 (0.002)	Loss 2.0012 (1.8592)	Prec@1 46.875 (51.517)	Prec@5 80.469 (81.122)
Epoch: [67][6730/14090]	Time 0.758 (0.765)	Data 0.001 (0.002)	Loss 1.9272 (1.8594)	Prec@1 46.094 (51.513)	Prec@5 84.375 (81.122)
Epoch: [67][6740/14090]	Time 0.744 (0.765)	Data 0.001 (0.002)	Loss 1.7865 (1.8594)	Prec@1 54.688 (51.511)	Prec@5 84.375 (81.124)
Epoch: [67][6750/14090]	Time 0.858 (0.765)	Data 0.001 (0.002)	Loss 1.8812 (1.8593)	Prec@1 47.656 (51.512)	Prec@5 78.906 (81.126)
Epoch: [67][6760/14090]	Time 0.740 (0.765)	Data 0.001 (0.002)	Loss 1.8039 (1.8593)	Prec@1 52.344 (51.513)	Prec@5 81.250 (81.128)
Epoch: [67][6770/14090]	Time 0.737 (0.765)	Data 0.001 (0.002)	Loss 1.7396 (1.8593)	Prec@1 49.219 (51.512)	Prec@5 84.375 (81.129)
Epoch: [67][6780/14090]	Time 0.759 (0.765)	Data 0.001 (0.002)	Loss 1.9000 (1.8592)	Prec@1 50.000 (51.515)	Prec@5 79.688 (81.129)
Epoch: [67][6790/14090]	Time 0.748 (0.765)	Data 0.001 (0.002)	Loss 1.8378 (1.8593)	Prec@1 52.344 (51.513)	Prec@5 80.469 (81.126)
Epoch: [67][6800/14090]	Time 0.758 (0.765)	Data 0.001 (0.002)	Loss 1.9323 (1.8593)	Prec@1 47.656 (51.510)	Prec@5 82.031 (81.129)
Epoch: [67][6810/14090]	Time 0.758 (0.765)	Data 0.001 (0.002)	Loss 1.7299 (1.8592)	Prec@1 49.219 (51.511)	Prec@5 85.156 (81.130)
Epoch: [67][6820/14090]	Time 0.851 (0.765)	Data 0.001 (0.002)	Loss 1.6002 (1.8592)	Prec@1 57.812 (51.512)	Prec@5 86.719 (81.132)
Epoch: [67][6830/14090]	Time 0.738 (0.765)	Data 0.001 (0.002)	Loss 1.6707 (1.8592)	Prec@1 57.031 (51.509)	Prec@5 85.938 (81.132)
Epoch: [67][6840/14090]	Time 0.734 (0.765)	Data 0.001 (0.002)	Loss 1.8277 (1.8592)	Prec@1 54.688 (51.511)	Prec@5 78.906 (81.133)
Epoch: [67][6850/14090]	Time 0.784 (0.765)	Data 0.001 (0.002)	Loss 1.7642 (1.8591)	Prec@1 46.875 (51.510)	Prec@5 84.375 (81.137)
Epoch: [67][6860/14090]	Time 0.773 (0.765)	Data 0.001 (0.002)	Loss 1.9500 (1.8592)	Prec@1 50.000 (51.508)	Prec@5 82.812 (81.135)
Epoch: [67][6870/14090]	Time 0.737 (0.765)	Data 0.001 (0.002)	Loss 1.8828 (1.8591)	Prec@1 50.000 (51.509)	Prec@5 81.250 (81.136)
Epoch: [67][6880/14090]	Time 0.755 (0.765)	Data 0.001 (0.002)	Loss 1.8053 (1.8591)	Prec@1 48.438 (51.509)	Prec@5 80.469 (81.136)
Epoch: [67][6890/14090]	Time 0.882 (0.765)	Data 0.001 (0.002)	Loss 1.9024 (1.8591)	Prec@1 53.125 (51.511)	Prec@5 77.344 (81.135)
Epoch: [67][6900/14090]	Time 0.757 (0.765)	Data 0.001 (0.002)	Loss 1.9716 (1.8593)	Prec@1 49.219 (51.506)	Prec@5 77.344 (81.132)
Epoch: [67][6910/14090]	Time 0.745 (0.765)	Data 0.001 (0.002)	Loss 2.1026 (1.8595)	Prec@1 48.438 (51.504)	Prec@5 78.125 (81.128)
Epoch: [67][6920/14090]	Time 0.754 (0.765)	Data 0.001 (0.002)	Loss 1.9646 (1.8595)	Prec@1 48.438 (51.501)	Prec@5 80.469 (81.127)
Epoch: [67][6930/14090]	Time 0.756 (0.765)	Data 0.001 (0.002)	Loss 2.0737 (1.8596)	Prec@1 42.969 (51.496)	Prec@5 77.344 (81.127)
Epoch: [67][6940/14090]	Time 0.733 (0.765)	Data 0.001 (0.002)	Loss 1.8211 (1.8596)	Prec@1 48.438 (51.496)	Prec@5 85.156 (81.128)
Epoch: [67][6950/14090]	Time 0.724 (0.765)	Data 0.001 (0.002)	Loss 1.7045 (1.8595)	Prec@1 54.688 (51.497)	Prec@5 82.031 (81.131)
Epoch: [67][6960/14090]	Time 0.866 (0.765)	Data 0.001 (0.002)	Loss 1.9528 (1.8596)	Prec@1 52.344 (51.493)	Prec@5 81.250 (81.129)
Epoch: [67][6970/14090]	Time 0.773 (0.765)	Data 0.001 (0.002)	Loss 1.7638 (1.8598)	Prec@1 55.469 (51.492)	Prec@5 81.250 (81.126)
Epoch: [67][6980/14090]	Time 0.755 (0.765)	Data 0.001 (0.002)	Loss 1.9610 (1.8598)	Prec@1 45.312 (51.491)	Prec@5 82.031 (81.126)
Epoch: [67][6990/14090]	Time 0.764 (0.765)	Data 0.001 (0.002)	Loss 1.8333 (1.8599)	Prec@1 52.344 (51.493)	Prec@5 85.156 (81.125)
Epoch: [67][7000/14090]	Time 0.756 (0.765)	Data 0.001 (0.002)	Loss 1.5561 (1.8598)	Prec@1 61.719 (51.494)	Prec@5 89.062 (81.125)
Epoch: [67][7010/14090]	Time 0.756 (0.765)	Data 0.001 (0.002)	Loss 1.9141 (1.8598)	Prec@1 50.000 (51.493)	Prec@5 78.125 (81.125)
Epoch: [67][7020/14090]	Time 0.741 (0.765)	Data 0.001 (0.002)	Loss 1.9434 (1.8597)	Prec@1 53.125 (51.495)	Prec@5 78.125 (81.127)
Epoch: [67][7030/14090]	Time 0.877 (0.765)	Data 0.001 (0.002)	Loss 1.9295 (1.8598)	Prec@1 49.219 (51.493)	Prec@5 85.156 (81.126)
Epoch: [67][7040/14090]	Time 0.756 (0.765)	Data 0.001 (0.002)	Loss 1.5985 (1.8599)	Prec@1 57.031 (51.492)	Prec@5 85.938 (81.125)
Epoch: [67][7050/14090]	Time 0.728 (0.765)	Data 0.001 (0.002)	Loss 1.6530 (1.8598)	Prec@1 54.688 (51.491)	Prec@5 83.594 (81.128)
Epoch: [67][7060/14090]	Time 0.774 (0.765)	Data 0.001 (0.002)	Loss 1.7972 (1.8599)	Prec@1 50.000 (51.489)	Prec@5 85.938 (81.130)
Epoch: [67][7070/14090]	Time 0.782 (0.765)	Data 0.001 (0.002)	Loss 1.8102 (1.8599)	Prec@1 53.906 (51.490)	Prec@5 82.812 (81.129)
Epoch: [67][7080/14090]	Time 0.729 (0.765)	Data 0.001 (0.002)	Loss 1.9645 (1.8599)	Prec@1 45.312 (51.489)	Prec@5 76.562 (81.128)
Epoch: [67][7090/14090]	Time 0.758 (0.765)	Data 0.001 (0.002)	Loss 1.5001 (1.8598)	Prec@1 57.031 (51.493)	Prec@5 86.719 (81.130)
Epoch: [67][7100/14090]	Time 0.839 (0.765)	Data 0.001 (0.002)	Loss 1.7130 (1.8598)	Prec@1 51.562 (51.491)	Prec@5 85.938 (81.132)
Epoch: [67][7110/14090]	Time 0.733 (0.765)	Data 0.001 (0.002)	Loss 2.0653 (1.8597)	Prec@1 48.438 (51.494)	Prec@5 76.562 (81.134)
Epoch: [67][7120/14090]	Time 0.779 (0.765)	Data 0.001 (0.002)	Loss 1.9423 (1.8596)	Prec@1 51.562 (51.495)	Prec@5 78.906 (81.135)
Epoch: [67][7130/14090]	Time 0.745 (0.765)	Data 0.001 (0.002)	Loss 1.9466 (1.8596)	Prec@1 46.875 (51.493)	Prec@5 80.469 (81.134)
Epoch: [67][7140/14090]	Time 0.734 (0.765)	Data 0.001 (0.002)	Loss 1.9357 (1.8596)	Prec@1 48.438 (51.494)	Prec@5 85.938 (81.132)
Epoch: [67][7150/14090]	Time 0.755 (0.765)	Data 0.001 (0.002)	Loss 1.8999 (1.8597)	Prec@1 50.781 (51.491)	Prec@5 80.469 (81.131)
Epoch: [67][7160/14090]	Time 0.745 (0.765)	Data 0.001 (0.002)	Loss 1.5771 (1.8597)	Prec@1 57.812 (51.491)	Prec@5 85.156 (81.131)
Epoch: [67][7170/14090]	Time 0.869 (0.765)	Data 0.001 (0.002)	Loss 1.7381 (1.8597)	Prec@1 51.562 (51.492)	Prec@5 85.156 (81.129)
Epoch: [67][7180/14090]	Time 0.736 (0.765)	Data 0.001 (0.002)	Loss 1.9775 (1.8596)	Prec@1 46.094 (51.492)	Prec@5 77.344 (81.130)
Epoch: [67][7190/14090]	Time 0.733 (0.765)	Data 0.001 (0.002)	Loss 1.8198 (1.8596)	Prec@1 48.438 (51.492)	Prec@5 82.812 (81.132)
Epoch: [67][7200/14090]	Time 0.730 (0.765)	Data 0.001 (0.002)	Loss 1.5511 (1.8596)	Prec@1 60.156 (51.492)	Prec@5 88.281 (81.134)
Epoch: [67][7210/14090]	Time 0.744 (0.765)	Data 0.001 (0.002)	Loss 1.9117 (1.8595)	Prec@1 46.094 (51.495)	Prec@5 78.906 (81.136)
Epoch: [67][7220/14090]	Time 0.735 (0.765)	Data 0.001 (0.002)	Loss 1.9433 (1.8595)	Prec@1 52.344 (51.496)	Prec@5 78.125 (81.136)
Epoch: [67][7230/14090]	Time 0.734 (0.765)	Data 0.001 (0.002)	Loss 1.7085 (1.8595)	Prec@1 57.031 (51.495)	Prec@5 82.031 (81.136)
Epoch: [67][7240/14090]	Time 0.892 (0.765)	Data 0.001 (0.002)	Loss 1.8891 (1.8596)	Prec@1 52.344 (51.494)	Prec@5 78.125 (81.134)
Epoch: [67][7250/14090]	Time 0.746 (0.765)	Data 0.001 (0.002)	Loss 1.9600 (1.8596)	Prec@1 49.219 (51.493)	Prec@5 78.906 (81.134)
Epoch: [67][7260/14090]	Time 0.749 (0.765)	Data 0.001 (0.002)	Loss 1.6948 (1.8595)	Prec@1 52.344 (51.495)	Prec@5 79.688 (81.135)
Epoch: [67][7270/14090]	Time 0.763 (0.765)	Data 0.001 (0.002)	Loss 1.9250 (1.8595)	Prec@1 46.094 (51.495)	Prec@5 80.469 (81.136)
Epoch: [67][7280/14090]	Time 0.756 (0.765)	Data 0.001 (0.002)	Loss 1.8927 (1.8595)	Prec@1 48.438 (51.495)	Prec@5 78.906 (81.136)
Epoch: [67][7290/14090]	Time 0.760 (0.765)	Data 0.001 (0.002)	Loss 2.0690 (1.8595)	Prec@1 49.219 (51.495)	Prec@5 72.656 (81.136)
Epoch: [67][7300/14090]	Time 0.726 (0.765)	Data 0.001 (0.002)	Loss 1.8162 (1.8595)	Prec@1 50.781 (51.493)	Prec@5 84.375 (81.137)
Epoch: [67][7310/14090]	Time 0.948 (0.765)	Data 0.003 (0.002)	Loss 1.8120 (1.8595)	Prec@1 48.438 (51.493)	Prec@5 85.156 (81.137)
Epoch: [67][7320/14090]	Time 0.751 (0.765)	Data 0.001 (0.002)	Loss 1.6125 (1.8594)	Prec@1 61.719 (51.494)	Prec@5 85.938 (81.137)
Epoch: [67][7330/14090]	Time 0.724 (0.765)	Data 0.001 (0.002)	Loss 1.9957 (1.8596)	Prec@1 50.000 (51.490)	Prec@5 80.469 (81.136)
Epoch: [67][7340/14090]	Time 0.742 (0.765)	Data 0.001 (0.002)	Loss 1.5893 (1.8594)	Prec@1 55.469 (51.492)	Prec@5 87.500 (81.137)
Epoch: [67][7350/14090]	Time 0.748 (0.765)	Data 0.001 (0.002)	Loss 2.1508 (1.8593)	Prec@1 43.750 (51.493)	Prec@5 73.438 (81.139)
Epoch: [67][7360/14090]	Time 0.760 (0.765)	Data 0.001 (0.002)	Loss 1.9684 (1.8594)	Prec@1 45.312 (51.492)	Prec@5 82.031 (81.138)
Epoch: [67][7370/14090]	Time 0.737 (0.765)	Data 0.001 (0.002)	Loss 1.6660 (1.8594)	Prec@1 54.688 (51.492)	Prec@5 84.375 (81.136)
Epoch: [67][7380/14090]	Time 0.840 (0.765)	Data 0.001 (0.002)	Loss 1.8491 (1.8594)	Prec@1 48.438 (51.490)	Prec@5 83.594 (81.137)
Epoch: [67][7390/14090]	Time 0.733 (0.765)	Data 0.001 (0.002)	Loss 1.9023 (1.8595)	Prec@1 50.000 (51.488)	Prec@5 83.594 (81.138)
Epoch: [67][7400/14090]	Time 0.743 (0.765)	Data 0.001 (0.002)	Loss 2.0427 (1.8594)	Prec@1 48.438 (51.489)	Prec@5 78.125 (81.139)
Epoch: [67][7410/14090]	Time 0.735 (0.765)	Data 0.001 (0.002)	Loss 1.9465 (1.8595)	Prec@1 49.219 (51.488)	Prec@5 82.812 (81.137)
Epoch: [67][7420/14090]	Time 0.742 (0.765)	Data 0.001 (0.002)	Loss 2.0048 (1.8595)	Prec@1 51.562 (51.488)	Prec@5 80.469 (81.136)
Epoch: [67][7430/14090]	Time 0.729 (0.765)	Data 0.001 (0.002)	Loss 1.8190 (1.8595)	Prec@1 56.250 (51.489)	Prec@5 85.938 (81.136)
Epoch: [67][7440/14090]	Time 0.766 (0.765)	Data 0.001 (0.002)	Loss 2.0908 (1.8594)	Prec@1 47.656 (51.490)	Prec@5 76.562 (81.138)
Epoch: [67][7450/14090]	Time 0.898 (0.765)	Data 0.001 (0.002)	Loss 1.7767 (1.8595)	Prec@1 50.000 (51.488)	Prec@5 82.812 (81.141)
Epoch: [67][7460/14090]	Time 0.777 (0.765)	Data 0.001 (0.002)	Loss 1.7492 (1.8594)	Prec@1 54.688 (51.489)	Prec@5 85.156 (81.143)
Epoch: [67][7470/14090]	Time 0.751 (0.765)	Data 0.001 (0.002)	Loss 2.3367 (1.8594)	Prec@1 40.625 (51.489)	Prec@5 74.219 (81.142)
Epoch: [67][7480/14090]	Time 0.732 (0.765)	Data 0.001 (0.002)	Loss 2.2585 (1.8596)	Prec@1 43.750 (51.486)	Prec@5 72.656 (81.141)
Epoch: [67][7490/14090]	Time 0.755 (0.765)	Data 0.001 (0.002)	Loss 1.5897 (1.8596)	Prec@1 53.906 (51.485)	Prec@5 83.594 (81.140)
Epoch: [67][7500/14090]	Time 0.748 (0.765)	Data 0.001 (0.002)	Loss 1.6154 (1.8596)	Prec@1 53.125 (51.486)	Prec@5 91.406 (81.140)
Epoch: [67][7510/14090]	Time 0.744 (0.765)	Data 0.001 (0.002)	Loss 1.7606 (1.8596)	Prec@1 54.688 (51.485)	Prec@5 82.031 (81.141)
Epoch: [67][7520/14090]	Time 0.889 (0.765)	Data 0.001 (0.002)	Loss 1.8307 (1.8595)	Prec@1 52.344 (51.488)	Prec@5 78.906 (81.142)
Epoch: [67][7530/14090]	Time 0.750 (0.765)	Data 0.001 (0.002)	Loss 2.0410 (1.8596)	Prec@1 45.312 (51.485)	Prec@5 78.125 (81.140)
Epoch: [67][7540/14090]	Time 0.743 (0.765)	Data 0.001 (0.002)	Loss 1.5953 (1.8596)	Prec@1 57.812 (51.487)	Prec@5 88.281 (81.139)
Epoch: [67][7550/14090]	Time 0.719 (0.765)	Data 0.001 (0.002)	Loss 1.7998 (1.8596)	Prec@1 50.000 (51.486)	Prec@5 82.031 (81.138)
Epoch: [67][7560/14090]	Time 0.730 (0.765)	Data 0.001 (0.002)	Loss 1.9049 (1.8596)	Prec@1 47.656 (51.485)	Prec@5 83.594 (81.137)
Epoch: [67][7570/14090]	Time 0.729 (0.765)	Data 0.001 (0.002)	Loss 1.8145 (1.8596)	Prec@1 53.125 (51.485)	Prec@5 80.469 (81.138)
Epoch: [67][7580/14090]	Time 0.735 (0.765)	Data 0.001 (0.002)	Loss 1.8250 (1.8597)	Prec@1 48.438 (51.482)	Prec@5 80.469 (81.137)
Epoch: [67][7590/14090]	Time 0.854 (0.765)	Data 0.001 (0.002)	Loss 1.9677 (1.8597)	Prec@1 50.781 (51.482)	Prec@5 81.250 (81.137)
Epoch: [67][7600/14090]	Time 0.746 (0.765)	Data 0.001 (0.002)	Loss 1.7377 (1.8597)	Prec@1 50.000 (51.480)	Prec@5 82.812 (81.138)
Epoch: [67][7610/14090]	Time 0.767 (0.765)	Data 0.001 (0.002)	Loss 1.8905 (1.8597)	Prec@1 48.438 (51.481)	Prec@5 77.344 (81.136)
Epoch: [67][7620/14090]	Time 0.761 (0.765)	Data 0.001 (0.002)	Loss 1.8901 (1.8597)	Prec@1 47.656 (51.482)	Prec@5 84.375 (81.136)
Epoch: [67][7630/14090]	Time 0.763 (0.765)	Data 0.001 (0.002)	Loss 1.9103 (1.8596)	Prec@1 54.688 (51.484)	Prec@5 82.031 (81.138)
Epoch: [67][7640/14090]	Time 0.770 (0.765)	Data 0.001 (0.002)	Loss 2.0534 (1.8596)	Prec@1 48.438 (51.484)	Prec@5 75.781 (81.136)
Epoch: [67][7650/14090]	Time 0.723 (0.765)	Data 0.001 (0.002)	Loss 1.6465 (1.8596)	Prec@1 55.469 (51.486)	Prec@5 84.375 (81.137)
Epoch: [67][7660/14090]	Time 0.848 (0.765)	Data 0.001 (0.002)	Loss 2.1605 (1.8596)	Prec@1 46.094 (51.486)	Prec@5 78.125 (81.134)
Epoch: [67][7670/14090]	Time 0.759 (0.765)	Data 0.001 (0.002)	Loss 1.9078 (1.8596)	Prec@1 48.438 (51.487)	Prec@5 80.469 (81.135)
Epoch: [67][7680/14090]	Time 0.737 (0.765)	Data 0.001 (0.002)	Loss 1.9666 (1.8596)	Prec@1 51.562 (51.487)	Prec@5 81.250 (81.136)
Epoch: [67][7690/14090]	Time 0.732 (0.765)	Data 0.001 (0.002)	Loss 1.9160 (1.8596)	Prec@1 49.219 (51.486)	Prec@5 80.469 (81.136)
Epoch: [67][7700/14090]	Time 0.729 (0.765)	Data 0.001 (0.002)	Loss 1.8075 (1.8597)	Prec@1 48.438 (51.483)	Prec@5 82.031 (81.134)
Epoch: [67][7710/14090]	Time 0.766 (0.765)	Data 0.001 (0.002)	Loss 1.9154 (1.8597)	Prec@1 52.344 (51.483)	Prec@5 75.781 (81.133)
Epoch: [67][7720/14090]	Time 0.787 (0.765)	Data 0.001 (0.002)	Loss 2.0407 (1.8598)	Prec@1 42.969 (51.481)	Prec@5 78.125 (81.134)
Epoch: [67][7730/14090]	Time 0.865 (0.765)	Data 0.001 (0.002)	Loss 1.8108 (1.8598)	Prec@1 51.562 (51.479)	Prec@5 84.375 (81.136)
Epoch: [67][7740/14090]	Time 0.752 (0.765)	Data 0.001 (0.002)	Loss 1.7175 (1.8597)	Prec@1 53.906 (51.482)	Prec@5 82.031 (81.137)
Epoch: [67][7750/14090]	Time 0.771 (0.765)	Data 0.001 (0.002)	Loss 2.0148 (1.8597)	Prec@1 50.781 (51.482)	Prec@5 79.688 (81.136)
Epoch: [67][7760/14090]	Time 0.734 (0.765)	Data 0.001 (0.002)	Loss 2.0319 (1.8597)	Prec@1 50.781 (51.484)	Prec@5 78.906 (81.137)
Epoch: [67][7770/14090]	Time 0.739 (0.765)	Data 0.001 (0.002)	Loss 2.0140 (1.8597)	Prec@1 48.438 (51.487)	Prec@5 76.562 (81.137)
Epoch: [67][7780/14090]	Time 0.724 (0.765)	Data 0.001 (0.002)	Loss 1.6969 (1.8596)	Prec@1 52.344 (51.486)	Prec@5 83.594 (81.140)
Epoch: [67][7790/14090]	Time 0.777 (0.765)	Data 0.001 (0.002)	Loss 1.8550 (1.8596)	Prec@1 53.125 (51.484)	Prec@5 82.812 (81.140)
Epoch: [67][7800/14090]	Time 0.910 (0.765)	Data 0.001 (0.002)	Loss 1.7841 (1.8597)	Prec@1 51.562 (51.482)	Prec@5 84.375 (81.140)
Epoch: [67][7810/14090]	Time 0.737 (0.765)	Data 0.001 (0.002)	Loss 2.2614 (1.8597)	Prec@1 43.750 (51.481)	Prec@5 74.219 (81.140)
Epoch: [67][7820/14090]	Time 0.780 (0.765)	Data 0.001 (0.002)	Loss 1.5348 (1.8596)	Prec@1 62.500 (51.486)	Prec@5 85.156 (81.143)
Epoch: [67][7830/14090]	Time 0.745 (0.765)	Data 0.001 (0.002)	Loss 1.7719 (1.8595)	Prec@1 51.562 (51.489)	Prec@5 84.375 (81.145)
Epoch: [67][7840/14090]	Time 0.753 (0.765)	Data 0.001 (0.002)	Loss 1.9159 (1.8596)	Prec@1 51.562 (51.488)	Prec@5 78.125 (81.143)
Epoch: [67][7850/14090]	Time 0.730 (0.765)	Data 0.001 (0.002)	Loss 1.7628 (1.8595)	Prec@1 54.688 (51.489)	Prec@5 82.812 (81.144)
Epoch: [67][7860/14090]	Time 0.743 (0.765)	Data 0.001 (0.002)	Loss 1.9347 (1.8597)	Prec@1 45.312 (51.486)	Prec@5 81.250 (81.142)
Epoch: [67][7870/14090]	Time 0.988 (0.765)	Data 0.001 (0.002)	Loss 1.7498 (1.8596)	Prec@1 53.125 (51.486)	Prec@5 80.469 (81.143)
Epoch: [67][7880/14090]	Time 0.734 (0.765)	Data 0.001 (0.002)	Loss 1.7562 (1.8596)	Prec@1 57.812 (51.486)	Prec@5 84.375 (81.143)
Epoch: [67][7890/14090]	Time 0.736 (0.765)	Data 0.001 (0.002)	Loss 1.7330 (1.8596)	Prec@1 53.906 (51.485)	Prec@5 86.719 (81.142)
Epoch: [67][7900/14090]	Time 0.754 (0.765)	Data 0.001 (0.002)	Loss 1.7686 (1.8596)	Prec@1 52.344 (51.486)	Prec@5 81.250 (81.142)
Epoch: [67][7910/14090]	Time 0.735 (0.765)	Data 0.001 (0.002)	Loss 1.6547 (1.8596)	Prec@1 57.031 (51.485)	Prec@5 85.156 (81.142)
Epoch: [67][7920/14090]	Time 0.725 (0.765)	Data 0.001 (0.002)	Loss 1.8268 (1.8596)	Prec@1 53.906 (51.484)	Prec@5 85.156 (81.141)
Epoch: [67][7930/14090]	Time 0.754 (0.765)	Data 0.001 (0.002)	Loss 2.2188 (1.8597)	Prec@1 45.312 (51.485)	Prec@5 71.875 (81.138)
Epoch: [67][7940/14090]	Time 0.942 (0.765)	Data 0.001 (0.002)	Loss 1.8246 (1.8597)	Prec@1 45.312 (51.484)	Prec@5 85.938 (81.140)
Epoch: [67][7950/14090]	Time 0.742 (0.765)	Data 0.001 (0.002)	Loss 2.0150 (1.8596)	Prec@1 52.344 (51.483)	Prec@5 74.219 (81.140)
Epoch: [67][7960/14090]	Time 0.747 (0.765)	Data 0.001 (0.002)	Loss 2.2477 (1.8595)	Prec@1 42.188 (51.484)	Prec@5 72.656 (81.144)
Epoch: [67][7970/14090]	Time 0.746 (0.765)	Data 0.001 (0.002)	Loss 1.9836 (1.8596)	Prec@1 52.344 (51.484)	Prec@5 78.125 (81.143)
Epoch: [67][7980/14090]	Time 0.777 (0.765)	Data 0.001 (0.002)	Loss 1.8222 (1.8596)	Prec@1 52.344 (51.481)	Prec@5 78.906 (81.142)
Epoch: [67][7990/14090]	Time 0.737 (0.765)	Data 0.001 (0.002)	Loss 2.0259 (1.8596)	Prec@1 45.312 (51.481)	Prec@5 79.688 (81.144)
Epoch: [67][8000/14090]	Time 0.720 (0.765)	Data 0.001 (0.002)	Loss 1.7488 (1.8595)	Prec@1 55.469 (51.483)	Prec@5 79.688 (81.145)
Epoch: [67][8010/14090]	Time 0.885 (0.765)	Data 0.001 (0.002)	Loss 2.1185 (1.8595)	Prec@1 44.531 (51.482)	Prec@5 78.125 (81.144)
Epoch: [67][8020/14090]	Time 0.767 (0.765)	Data 0.001 (0.002)	Loss 1.5809 (1.8595)	Prec@1 60.938 (51.485)	Prec@5 88.281 (81.145)
Epoch: [67][8030/14090]	Time 0.720 (0.765)	Data 0.001 (0.002)	Loss 1.6715 (1.8595)	Prec@1 55.469 (51.485)	Prec@5 82.031 (81.145)
Epoch: [67][8040/14090]	Time 0.728 (0.765)	Data 0.001 (0.002)	Loss 2.0223 (1.8595)	Prec@1 53.125 (51.484)	Prec@5 78.125 (81.144)
Epoch: [67][8050/14090]	Time 0.753 (0.765)	Data 0.001 (0.002)	Loss 1.9035 (1.8594)	Prec@1 51.562 (51.486)	Prec@5 82.031 (81.145)
Epoch: [67][8060/14090]	Time 0.754 (0.765)	Data 0.001 (0.002)	Loss 1.8009 (1.8594)	Prec@1 45.312 (51.488)	Prec@5 82.812 (81.145)
Epoch: [67][8070/14090]	Time 0.773 (0.765)	Data 0.001 (0.002)	Loss 1.6573 (1.8594)	Prec@1 54.688 (51.487)	Prec@5 85.156 (81.142)
Epoch: [67][8080/14090]	Time 0.873 (0.765)	Data 0.001 (0.002)	Loss 1.6996 (1.8593)	Prec@1 53.906 (51.488)	Prec@5 86.719 (81.146)
Epoch: [67][8090/14090]	Time 0.723 (0.765)	Data 0.001 (0.002)	Loss 2.2677 (1.8592)	Prec@1 41.406 (51.490)	Prec@5 74.219 (81.147)
Epoch: [67][8100/14090]	Time 0.766 (0.765)	Data 0.001 (0.002)	Loss 1.7656 (1.8592)	Prec@1 57.031 (51.489)	Prec@5 79.688 (81.147)
Epoch: [67][8110/14090]	Time 0.762 (0.765)	Data 0.001 (0.002)	Loss 2.0631 (1.8593)	Prec@1 45.312 (51.487)	Prec@5 78.906 (81.146)
Epoch: [67][8120/14090]	Time 0.737 (0.765)	Data 0.001 (0.002)	Loss 2.1060 (1.8595)	Prec@1 47.656 (51.484)	Prec@5 74.219 (81.142)
Epoch: [67][8130/14090]	Time 0.757 (0.765)	Data 0.001 (0.002)	Loss 1.9245 (1.8594)	Prec@1 55.469 (51.485)	Prec@5 80.469 (81.144)
Epoch: [67][8140/14090]	Time 0.762 (0.765)	Data 0.001 (0.002)	Loss 1.9500 (1.8594)	Prec@1 48.438 (51.484)	Prec@5 78.906 (81.143)
Epoch: [67][8150/14090]	Time 0.849 (0.765)	Data 0.001 (0.002)	Loss 2.0106 (1.8595)	Prec@1 48.438 (51.482)	Prec@5 78.125 (81.141)
Epoch: [67][8160/14090]	Time 0.725 (0.765)	Data 0.001 (0.002)	Loss 1.9707 (1.8595)	Prec@1 52.344 (51.483)	Prec@5 79.688 (81.142)
Epoch: [67][8170/14090]	Time 0.729 (0.765)	Data 0.001 (0.002)	Loss 1.7649 (1.8595)	Prec@1 53.125 (51.481)	Prec@5 81.250 (81.142)
Epoch: [67][8180/14090]	Time 0.779 (0.765)	Data 0.001 (0.002)	Loss 1.7467 (1.8596)	Prec@1 56.250 (51.481)	Prec@5 81.250 (81.140)
Epoch: [67][8190/14090]	Time 0.773 (0.765)	Data 0.001 (0.002)	Loss 1.7167 (1.8596)	Prec@1 51.562 (51.479)	Prec@5 85.938 (81.141)
Epoch: [67][8200/14090]	Time 0.759 (0.765)	Data 0.001 (0.002)	Loss 1.4320 (1.8595)	Prec@1 60.938 (51.481)	Prec@5 90.625 (81.143)
Epoch: [67][8210/14090]	Time 0.760 (0.765)	Data 0.001 (0.002)	Loss 1.9633 (1.8596)	Prec@1 50.781 (51.480)	Prec@5 79.688 (81.142)
Epoch: [67][8220/14090]	Time 0.848 (0.765)	Data 0.001 (0.002)	Loss 2.3219 (1.8597)	Prec@1 43.750 (51.480)	Prec@5 75.000 (81.141)
Epoch: [67][8230/14090]	Time 0.749 (0.765)	Data 0.001 (0.002)	Loss 1.6556 (1.8596)	Prec@1 58.594 (51.481)	Prec@5 85.938 (81.140)
Epoch: [67][8240/14090]	Time 0.739 (0.765)	Data 0.001 (0.002)	Loss 1.7475 (1.8596)	Prec@1 60.156 (51.481)	Prec@5 85.156 (81.139)
Epoch: [67][8250/14090]	Time 0.729 (0.765)	Data 0.001 (0.002)	Loss 1.8445 (1.8597)	Prec@1 52.344 (51.479)	Prec@5 84.375 (81.140)
Epoch: [67][8260/14090]	Time 0.721 (0.765)	Data 0.001 (0.002)	Loss 1.7730 (1.8597)	Prec@1 50.000 (51.476)	Prec@5 87.500 (81.139)
Epoch: [67][8270/14090]	Time 0.775 (0.765)	Data 0.001 (0.002)	Loss 2.1037 (1.8598)	Prec@1 45.312 (51.476)	Prec@5 77.344 (81.136)
Epoch: [67][8280/14090]	Time 0.735 (0.765)	Data 0.001 (0.002)	Loss 1.5120 (1.8598)	Prec@1 58.594 (51.476)	Prec@5 85.156 (81.137)
Epoch: [67][8290/14090]	Time 0.870 (0.765)	Data 0.001 (0.002)	Loss 1.6635 (1.8598)	Prec@1 54.688 (51.476)	Prec@5 84.375 (81.139)
Epoch: [67][8300/14090]	Time 0.736 (0.765)	Data 0.001 (0.002)	Loss 1.7153 (1.8597)	Prec@1 53.906 (51.478)	Prec@5 84.375 (81.137)
Epoch: [67][8310/14090]	Time 0.755 (0.765)	Data 0.001 (0.002)	Loss 2.0822 (1.8597)	Prec@1 45.312 (51.478)	Prec@5 80.469 (81.137)
Epoch: [67][8320/14090]	Time 0.737 (0.765)	Data 0.001 (0.002)	Loss 1.7304 (1.8597)	Prec@1 52.344 (51.479)	Prec@5 85.938 (81.139)
Epoch: [67][8330/14090]	Time 0.726 (0.765)	Data 0.001 (0.002)	Loss 1.7559 (1.8597)	Prec@1 58.594 (51.478)	Prec@5 78.906 (81.139)
Epoch: [67][8340/14090]	Time 0.758 (0.765)	Data 0.001 (0.002)	Loss 2.0366 (1.8598)	Prec@1 46.875 (51.475)	Prec@5 78.906 (81.138)
Epoch: [67][8350/14090]	Time 0.736 (0.765)	Data 0.001 (0.002)	Loss 1.5309 (1.8598)	Prec@1 53.125 (51.475)	Prec@5 85.938 (81.139)
Epoch: [67][8360/14090]	Time 0.878 (0.765)	Data 0.001 (0.002)	Loss 1.7138 (1.8598)	Prec@1 55.469 (51.474)	Prec@5 83.594 (81.139)
Epoch: [67][8370/14090]	Time 0.770 (0.765)	Data 0.001 (0.002)	Loss 1.9612 (1.8599)	Prec@1 47.656 (51.470)	Prec@5 77.344 (81.137)
Epoch: [67][8380/14090]	Time 0.751 (0.765)	Data 0.001 (0.002)	Loss 1.9232 (1.8599)	Prec@1 51.562 (51.471)	Prec@5 78.906 (81.138)
Epoch: [67][8390/14090]	Time 0.735 (0.765)	Data 0.001 (0.002)	Loss 1.7496 (1.8599)	Prec@1 58.594 (51.471)	Prec@5 80.469 (81.138)
Epoch: [67][8400/14090]	Time 0.744 (0.765)	Data 0.001 (0.002)	Loss 1.5641 (1.8598)	Prec@1 57.031 (51.472)	Prec@5 82.812 (81.139)
Epoch: [67][8410/14090]	Time 0.736 (0.765)	Data 0.001 (0.002)	Loss 2.0440 (1.8598)	Prec@1 45.312 (51.470)	Prec@5 72.656 (81.138)
Epoch: [67][8420/14090]	Time 0.751 (0.765)	Data 0.001 (0.002)	Loss 1.8090 (1.8598)	Prec@1 51.562 (51.469)	Prec@5 83.594 (81.138)
Epoch: [67][8430/14090]	Time 1.026 (0.765)	Data 0.001 (0.002)	Loss 1.7544 (1.8599)	Prec@1 59.375 (51.468)	Prec@5 80.469 (81.137)
Epoch: [67][8440/14090]	Time 0.759 (0.765)	Data 0.001 (0.002)	Loss 2.0287 (1.8599)	Prec@1 45.312 (51.467)	Prec@5 76.562 (81.138)
Epoch: [67][8450/14090]	Time 0.748 (0.765)	Data 0.001 (0.002)	Loss 1.9963 (1.8600)	Prec@1 46.875 (51.463)	Prec@5 75.781 (81.135)
Epoch: [67][8460/14090]	Time 0.749 (0.765)	Data 0.001 (0.002)	Loss 1.5875 (1.8600)	Prec@1 61.719 (51.463)	Prec@5 85.156 (81.135)
Epoch: [67][8470/14090]	Time 0.724 (0.765)	Data 0.001 (0.002)	Loss 1.8523 (1.8599)	Prec@1 47.656 (51.463)	Prec@5 81.250 (81.137)
Epoch: [67][8480/14090]	Time 0.753 (0.765)	Data 0.001 (0.002)	Loss 2.1269 (1.8599)	Prec@1 46.875 (51.462)	Prec@5 79.688 (81.139)
Epoch: [67][8490/14090]	Time 0.715 (0.765)	Data 0.002 (0.002)	Loss 1.6611 (1.8599)	Prec@1 59.375 (51.463)	Prec@5 84.375 (81.138)
Epoch: [67][8500/14090]	Time 0.853 (0.765)	Data 0.001 (0.002)	Loss 1.9266 (1.8599)	Prec@1 47.656 (51.464)	Prec@5 79.688 (81.140)
Epoch: [67][8510/14090]	Time 0.729 (0.765)	Data 0.002 (0.002)	Loss 1.5943 (1.8599)	Prec@1 56.250 (51.464)	Prec@5 85.938 (81.141)
Epoch: [67][8520/14090]	Time 0.738 (0.765)	Data 0.001 (0.002)	Loss 1.7382 (1.8600)	Prec@1 50.000 (51.461)	Prec@5 85.156 (81.140)
Epoch: [67][8530/14090]	Time 0.777 (0.765)	Data 0.001 (0.002)	Loss 1.8464 (1.8600)	Prec@1 57.812 (51.462)	Prec@5 76.562 (81.139)
Epoch: [67][8540/14090]	Time 0.765 (0.765)	Data 0.001 (0.002)	Loss 1.9042 (1.8600)	Prec@1 54.688 (51.464)	Prec@5 79.688 (81.140)
Epoch: [67][8550/14090]	Time 0.757 (0.765)	Data 0.001 (0.002)	Loss 1.8907 (1.8599)	Prec@1 51.562 (51.468)	Prec@5 82.812 (81.140)
Epoch: [67][8560/14090]	Time 0.738 (0.765)	Data 0.001 (0.002)	Loss 1.6816 (1.8599)	Prec@1 58.594 (51.470)	Prec@5 83.594 (81.140)
Epoch: [67][8570/14090]	Time 0.907 (0.765)	Data 0.001 (0.002)	Loss 1.9181 (1.8599)	Prec@1 50.781 (51.469)	Prec@5 79.688 (81.140)
Epoch: [67][8580/14090]	Time 0.729 (0.765)	Data 0.001 (0.002)	Loss 1.8345 (1.8600)	Prec@1 48.438 (51.467)	Prec@5 83.594 (81.140)
Epoch: [67][8590/14090]	Time 0.727 (0.765)	Data 0.001 (0.002)	Loss 1.9659 (1.8599)	Prec@1 45.312 (51.466)	Prec@5 79.688 (81.141)
Epoch: [67][8600/14090]	Time 0.733 (0.765)	Data 0.001 (0.002)	Loss 1.7599 (1.8599)	Prec@1 57.031 (51.466)	Prec@5 82.031 (81.140)
Epoch: [67][8610/14090]	Time 0.731 (0.765)	Data 0.001 (0.002)	Loss 2.1089 (1.8599)	Prec@1 44.531 (51.468)	Prec@5 73.438 (81.142)
Epoch: [67][8620/14090]	Time 0.753 (0.765)	Data 0.001 (0.002)	Loss 1.8016 (1.8599)	Prec@1 50.781 (51.468)	Prec@5 81.250 (81.140)
Epoch: [67][8630/14090]	Time 0.729 (0.765)	Data 0.002 (0.002)	Loss 1.7639 (1.8599)	Prec@1 50.000 (51.467)	Prec@5 81.250 (81.140)
Epoch: [67][8640/14090]	Time 0.871 (0.765)	Data 0.001 (0.002)	Loss 1.7467 (1.8598)	Prec@1 51.562 (51.466)	Prec@5 80.469 (81.141)
Epoch: [67][8650/14090]	Time 0.753 (0.765)	Data 0.001 (0.002)	Loss 1.9220 (1.8598)	Prec@1 53.125 (51.467)	Prec@5 79.688 (81.141)
Epoch: [67][8660/14090]	Time 0.763 (0.765)	Data 0.001 (0.002)	Loss 1.8211 (1.8598)	Prec@1 53.125 (51.470)	Prec@5 83.594 (81.142)
Epoch: [67][8670/14090]	Time 0.747 (0.765)	Data 0.001 (0.002)	Loss 1.8815 (1.8598)	Prec@1 53.125 (51.470)	Prec@5 79.688 (81.142)
Epoch: [67][8680/14090]	Time 0.762 (0.765)	Data 0.002 (0.002)	Loss 1.7618 (1.8599)	Prec@1 50.781 (51.467)	Prec@5 81.250 (81.142)
Epoch: [67][8690/14090]	Time 0.756 (0.765)	Data 0.001 (0.002)	Loss 1.6156 (1.8599)	Prec@1 61.719 (51.469)	Prec@5 83.594 (81.142)
Epoch: [67][8700/14090]	Time 0.733 (0.765)	Data 0.001 (0.002)	Loss 1.7735 (1.8598)	Prec@1 58.594 (51.469)	Prec@5 82.812 (81.143)
Epoch: [67][8710/14090]	Time 0.851 (0.765)	Data 0.001 (0.002)	Loss 2.1907 (1.8598)	Prec@1 42.188 (51.468)	Prec@5 76.562 (81.144)
Epoch: [67][8720/14090]	Time 0.731 (0.765)	Data 0.001 (0.002)	Loss 1.6792 (1.8598)	Prec@1 53.125 (51.469)	Prec@5 82.812 (81.142)
Epoch: [67][8730/14090]	Time 0.733 (0.765)	Data 0.001 (0.002)	Loss 1.9000 (1.8599)	Prec@1 51.562 (51.468)	Prec@5 78.125 (81.140)
Epoch: [67][8740/14090]	Time 0.733 (0.765)	Data 0.001 (0.002)	Loss 1.7736 (1.8599)	Prec@1 52.344 (51.466)	Prec@5 85.156 (81.141)
Epoch: [67][8750/14090]	Time 0.750 (0.765)	Data 0.001 (0.002)	Loss 1.8532 (1.8598)	Prec@1 56.250 (51.471)	Prec@5 83.594 (81.142)
Epoch: [67][8760/14090]	Time 0.748 (0.765)	Data 0.001 (0.002)	Loss 1.9341 (1.8598)	Prec@1 50.000 (51.472)	Prec@5 77.344 (81.142)
Epoch: [67][8770/14090]	Time 0.728 (0.765)	Data 0.001 (0.002)	Loss 2.0541 (1.8598)	Prec@1 54.688 (51.472)	Prec@5 78.125 (81.142)
Epoch: [67][8780/14090]	Time 0.847 (0.765)	Data 0.001 (0.002)	Loss 2.0545 (1.8597)	Prec@1 49.219 (51.474)	Prec@5 78.906 (81.142)
Epoch: [67][8790/14090]	Time 0.723 (0.765)	Data 0.001 (0.002)	Loss 1.9652 (1.8597)	Prec@1 46.094 (51.475)	Prec@5 83.594 (81.143)
Epoch: [67][8800/14090]	Time 0.745 (0.765)	Data 0.001 (0.002)	Loss 1.6057 (1.8596)	Prec@1 59.375 (51.478)	Prec@5 80.469 (81.145)
Epoch: [67][8810/14090]	Time 0.719 (0.765)	Data 0.001 (0.002)	Loss 1.6372 (1.8597)	Prec@1 60.156 (51.478)	Prec@5 84.375 (81.144)
Epoch: [67][8820/14090]	Time 0.774 (0.765)	Data 0.001 (0.002)	Loss 2.1068 (1.8597)	Prec@1 44.531 (51.476)	Prec@5 74.219 (81.144)
Epoch: [67][8830/14090]	Time 0.739 (0.765)	Data 0.001 (0.002)	Loss 1.9865 (1.8596)	Prec@1 43.750 (51.478)	Prec@5 79.688 (81.146)
Epoch: [67][8840/14090]	Time 0.722 (0.765)	Data 0.001 (0.002)	Loss 1.8523 (1.8596)	Prec@1 54.688 (51.478)	Prec@5 83.594 (81.147)
Epoch: [67][8850/14090]	Time 0.889 (0.765)	Data 0.001 (0.002)	Loss 1.8538 (1.8597)	Prec@1 52.344 (51.477)	Prec@5 84.375 (81.147)
Epoch: [67][8860/14090]	Time 0.726 (0.765)	Data 0.001 (0.002)	Loss 1.7239 (1.8597)	Prec@1 53.125 (51.476)	Prec@5 84.375 (81.147)
Epoch: [67][8870/14090]	Time 0.720 (0.765)	Data 0.001 (0.002)	Loss 2.0538 (1.8597)	Prec@1 48.438 (51.476)	Prec@5 78.125 (81.147)
Epoch: [67][8880/14090]	Time 0.732 (0.765)	Data 0.001 (0.002)	Loss 1.8199 (1.8597)	Prec@1 49.219 (51.478)	Prec@5 78.906 (81.147)
Epoch: [67][8890/14090]	Time 0.749 (0.765)	Data 0.002 (0.002)	Loss 1.7610 (1.8597)	Prec@1 51.562 (51.477)	Prec@5 85.156 (81.147)
Epoch: [67][8900/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.0202 (1.8598)	Prec@1 54.688 (51.477)	Prec@5 79.688 (81.145)
Epoch: [67][8910/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 1.8292 (1.8598)	Prec@1 48.438 (51.473)	Prec@5 83.594 (81.145)
Epoch: [67][8920/14090]	Time 0.863 (0.765)	Data 0.001 (0.001)	Loss 1.7921 (1.8598)	Prec@1 53.125 (51.473)	Prec@5 85.938 (81.146)
Epoch: [67][8930/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 1.8844 (1.8598)	Prec@1 53.906 (51.473)	Prec@5 80.469 (81.146)
Epoch: [67][8940/14090]	Time 0.782 (0.765)	Data 0.001 (0.001)	Loss 1.9709 (1.8598)	Prec@1 46.875 (51.475)	Prec@5 83.594 (81.145)
Epoch: [67][8950/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 1.8108 (1.8598)	Prec@1 48.438 (51.473)	Prec@5 82.812 (81.146)
Epoch: [67][8960/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 1.7972 (1.8598)	Prec@1 56.250 (51.472)	Prec@5 78.125 (81.144)
Epoch: [67][8970/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 1.9221 (1.8599)	Prec@1 53.906 (51.472)	Prec@5 82.812 (81.145)
Epoch: [67][8980/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 1.8670 (1.8599)	Prec@1 51.562 (51.470)	Prec@5 82.812 (81.143)
Epoch: [67][8990/14090]	Time 0.863 (0.765)	Data 0.001 (0.001)	Loss 2.0120 (1.8600)	Prec@1 53.125 (51.469)	Prec@5 75.781 (81.141)
Epoch: [67][9000/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.0389 (1.8602)	Prec@1 49.219 (51.467)	Prec@5 78.906 (81.139)
Epoch: [67][9010/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 1.9347 (1.8601)	Prec@1 52.344 (51.469)	Prec@5 83.594 (81.140)
Epoch: [67][9020/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 1.6072 (1.8600)	Prec@1 53.125 (51.472)	Prec@5 85.938 (81.142)
Epoch: [67][9030/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 1.9316 (1.8600)	Prec@1 49.219 (51.470)	Prec@5 81.250 (81.144)
Epoch: [67][9040/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 1.5614 (1.8600)	Prec@1 57.031 (51.469)	Prec@5 84.375 (81.143)
Epoch: [67][9050/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 1.7533 (1.8600)	Prec@1 56.250 (51.469)	Prec@5 83.594 (81.143)
Epoch: [67][9060/14090]	Time 0.818 (0.765)	Data 0.001 (0.001)	Loss 2.1124 (1.8599)	Prec@1 45.312 (51.469)	Prec@5 75.000 (81.143)
Epoch: [67][9070/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 1.9812 (1.8598)	Prec@1 46.094 (51.472)	Prec@5 76.562 (81.144)
Epoch: [67][9080/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 1.6018 (1.8598)	Prec@1 53.906 (51.471)	Prec@5 85.156 (81.145)
Epoch: [67][9090/14090]	Time 0.787 (0.765)	Data 0.001 (0.001)	Loss 1.9407 (1.8599)	Prec@1 46.094 (51.469)	Prec@5 82.812 (81.144)
Epoch: [67][9100/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 1.8483 (1.8600)	Prec@1 50.781 (51.468)	Prec@5 82.031 (81.142)
Epoch: [67][9110/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 1.7858 (1.8600)	Prec@1 55.469 (51.469)	Prec@5 81.250 (81.142)
Epoch: [67][9120/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 1.7499 (1.8600)	Prec@1 55.469 (51.468)	Prec@5 79.688 (81.142)
Epoch: [67][9130/14090]	Time 0.873 (0.765)	Data 0.001 (0.001)	Loss 1.9518 (1.8600)	Prec@1 53.125 (51.468)	Prec@5 76.562 (81.142)
Epoch: [67][9140/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.0953 (1.8601)	Prec@1 46.875 (51.468)	Prec@5 76.562 (81.140)
Epoch: [67][9150/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 1.8457 (1.8600)	Prec@1 53.125 (51.468)	Prec@5 81.250 (81.140)
Epoch: [67][9160/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 1.7998 (1.8601)	Prec@1 52.344 (51.467)	Prec@5 81.250 (81.138)
Epoch: [67][9170/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 1.9969 (1.8601)	Prec@1 47.656 (51.467)	Prec@5 79.688 (81.138)
Epoch: [67][9180/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 1.7332 (1.8600)	Prec@1 60.938 (51.469)	Prec@5 82.031 (81.138)
Epoch: [67][9190/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 1.9034 (1.8600)	Prec@1 50.000 (51.471)	Prec@5 82.031 (81.138)
Epoch: [67][9200/14090]	Time 0.858 (0.765)	Data 0.001 (0.001)	Loss 1.8119 (1.8601)	Prec@1 51.562 (51.469)	Prec@5 82.031 (81.137)
Epoch: [67][9210/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 1.7280 (1.8600)	Prec@1 57.812 (51.471)	Prec@5 79.688 (81.139)
Epoch: [67][9220/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 2.0788 (1.8600)	Prec@1 42.188 (51.470)	Prec@5 78.125 (81.139)
Epoch: [67][9230/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 1.9709 (1.8601)	Prec@1 51.562 (51.468)	Prec@5 78.125 (81.137)
Epoch: [67][9240/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 1.9122 (1.8601)	Prec@1 53.125 (51.469)	Prec@5 80.469 (81.138)
Epoch: [67][9250/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 1.7460 (1.8601)	Prec@1 56.250 (51.470)	Prec@5 80.469 (81.138)
Epoch: [67][9260/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 1.7773 (1.8600)	Prec@1 53.125 (51.471)	Prec@5 82.812 (81.138)
Epoch: [67][9270/14090]	Time 0.861 (0.765)	Data 0.001 (0.001)	Loss 2.0450 (1.8601)	Prec@1 51.562 (51.469)	Prec@5 74.219 (81.137)
Epoch: [67][9280/14090]	Time 0.721 (0.765)	Data 0.001 (0.001)	Loss 1.8653 (1.8601)	Prec@1 50.000 (51.468)	Prec@5 80.469 (81.136)
Epoch: [67][9290/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 1.9615 (1.8601)	Prec@1 45.312 (51.469)	Prec@5 79.688 (81.136)
Epoch: [67][9300/14090]	Time 0.771 (0.765)	Data 0.001 (0.001)	Loss 1.7983 (1.8601)	Prec@1 57.812 (51.471)	Prec@5 77.344 (81.134)
Epoch: [67][9310/14090]	Time 0.780 (0.765)	Data 0.001 (0.001)	Loss 1.8964 (1.8601)	Prec@1 51.562 (51.472)	Prec@5 82.031 (81.135)
Epoch: [67][9320/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 1.7569 (1.8601)	Prec@1 55.469 (51.473)	Prec@5 80.469 (81.133)
Epoch: [67][9330/14090]	Time 0.775 (0.765)	Data 0.001 (0.001)	Loss 2.4243 (1.8602)	Prec@1 39.062 (51.470)	Prec@5 74.219 (81.133)
Epoch: [67][9340/14090]	Time 0.869 (0.765)	Data 0.001 (0.001)	Loss 1.8597 (1.8602)	Prec@1 50.781 (51.469)	Prec@5 84.375 (81.133)
Epoch: [67][9350/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 1.8288 (1.8602)	Prec@1 54.688 (51.470)	Prec@5 84.375 (81.133)
Epoch: [67][9360/14090]	Time 0.767 (0.765)	Data 0.001 (0.001)	Loss 1.6735 (1.8603)	Prec@1 55.469 (51.466)	Prec@5 82.031 (81.130)
Epoch: [67][9370/14090]	Time 0.777 (0.765)	Data 0.001 (0.001)	Loss 1.8135 (1.8604)	Prec@1 56.250 (51.468)	Prec@5 82.031 (81.128)
Epoch: [67][9380/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 1.9907 (1.8603)	Prec@1 48.438 (51.469)	Prec@5 78.906 (81.128)
Epoch: [67][9390/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 1.7800 (1.8604)	Prec@1 50.781 (51.470)	Prec@5 82.031 (81.125)
Epoch: [67][9400/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 1.6459 (1.8604)	Prec@1 53.125 (51.470)	Prec@5 85.938 (81.124)
Epoch: [67][9410/14090]	Time 0.912 (0.765)	Data 0.001 (0.001)	Loss 1.8095 (1.8605)	Prec@1 48.438 (51.467)	Prec@5 84.375 (81.124)
Epoch: [67][9420/14090]	Time 0.777 (0.765)	Data 0.001 (0.001)	Loss 1.9682 (1.8605)	Prec@1 49.219 (51.467)	Prec@5 79.688 (81.124)
Epoch: [67][9430/14090]	Time 0.747 (0.765)	Data 0.003 (0.001)	Loss 1.7794 (1.8604)	Prec@1 53.906 (51.469)	Prec@5 82.812 (81.125)
Epoch: [67][9440/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 1.8279 (1.8604)	Prec@1 54.688 (51.470)	Prec@5 83.594 (81.127)
Epoch: [67][9450/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 1.8007 (1.8604)	Prec@1 52.344 (51.470)	Prec@5 84.375 (81.127)
Epoch: [67][9460/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.1332 (1.8605)	Prec@1 44.531 (51.469)	Prec@5 75.781 (81.127)
Epoch: [67][9470/14090]	Time 0.790 (0.765)	Data 0.001 (0.001)	Loss 1.8920 (1.8605)	Prec@1 53.125 (51.468)	Prec@5 78.906 (81.128)
Epoch: [67][9480/14090]	Time 0.888 (0.765)	Data 0.001 (0.001)	Loss 1.6180 (1.8605)	Prec@1 58.594 (51.468)	Prec@5 82.812 (81.128)
Epoch: [67][9490/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 1.6567 (1.8605)	Prec@1 50.781 (51.468)	Prec@5 88.281 (81.127)
Epoch: [67][9500/14090]	Time 0.773 (0.765)	Data 0.001 (0.001)	Loss 1.8296 (1.8604)	Prec@1 53.906 (51.469)	Prec@5 80.469 (81.129)
Epoch: [67][9510/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 1.9649 (1.8604)	Prec@1 49.219 (51.469)	Prec@5 78.125 (81.129)
Epoch: [67][9520/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 1.8245 (1.8604)	Prec@1 52.344 (51.471)	Prec@5 82.031 (81.129)
Epoch: [67][9530/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.3034 (1.8603)	Prec@1 41.406 (51.472)	Prec@5 69.531 (81.130)
Epoch: [67][9540/14090]	Time 0.764 (0.765)	Data 0.001 (0.001)	Loss 1.5998 (1.8603)	Prec@1 58.594 (51.472)	Prec@5 85.156 (81.131)
Epoch: [67][9550/14090]	Time 0.996 (0.765)	Data 0.001 (0.001)	Loss 1.9743 (1.8603)	Prec@1 46.875 (51.473)	Prec@5 78.906 (81.132)
Epoch: [67][9560/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.0420 (1.8603)	Prec@1 47.656 (51.472)	Prec@5 77.344 (81.132)
Epoch: [67][9570/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 1.9151 (1.8603)	Prec@1 49.219 (51.472)	Prec@5 82.031 (81.132)
Epoch: [67][9580/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.0689 (1.8603)	Prec@1 50.781 (51.474)	Prec@5 76.562 (81.132)
Epoch: [67][9590/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 1.8674 (1.8603)	Prec@1 51.562 (51.474)	Prec@5 82.031 (81.132)
Epoch: [67][9600/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.1406 (1.8604)	Prec@1 42.969 (51.470)	Prec@5 72.656 (81.130)
Epoch: [67][9610/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 1.9010 (1.8604)	Prec@1 51.562 (51.470)	Prec@5 81.250 (81.130)
Epoch: [67][9620/14090]	Time 0.870 (0.765)	Data 0.001 (0.001)	Loss 1.5684 (1.8603)	Prec@1 55.469 (51.471)	Prec@5 91.406 (81.134)
Epoch: [67][9630/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 1.9388 (1.8604)	Prec@1 47.656 (51.470)	Prec@5 80.469 (81.134)
Epoch: [67][9640/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 2.0116 (1.8604)	Prec@1 42.188 (51.469)	Prec@5 81.250 (81.133)
Epoch: [67][9650/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 1.9192 (1.8603)	Prec@1 47.656 (51.468)	Prec@5 78.906 (81.134)
Epoch: [67][9660/14090]	Time 0.769 (0.765)	Data 0.001 (0.001)	Loss 1.7206 (1.8603)	Prec@1 53.125 (51.466)	Prec@5 82.031 (81.134)
Epoch: [67][9670/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 1.9506 (1.8604)	Prec@1 49.219 (51.465)	Prec@5 80.469 (81.133)
Epoch: [67][9680/14090]	Time 0.769 (0.765)	Data 0.001 (0.001)	Loss 1.8062 (1.8604)	Prec@1 50.781 (51.466)	Prec@5 80.469 (81.133)
Epoch: [67][9690/14090]	Time 0.868 (0.765)	Data 0.001 (0.001)	Loss 1.9292 (1.8604)	Prec@1 52.344 (51.466)	Prec@5 77.344 (81.131)
Epoch: [67][9700/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 1.7478 (1.8604)	Prec@1 53.906 (51.468)	Prec@5 83.594 (81.133)
Epoch: [67][9710/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 1.8215 (1.8604)	Prec@1 49.219 (51.466)	Prec@5 86.719 (81.133)
Epoch: [67][9720/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 1.9389 (1.8603)	Prec@1 50.781 (51.467)	Prec@5 84.375 (81.135)
Epoch: [67][9730/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 1.8908 (1.8603)	Prec@1 56.250 (51.469)	Prec@5 82.031 (81.135)
Epoch: [67][9740/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 1.9226 (1.8604)	Prec@1 47.656 (51.465)	Prec@5 79.688 (81.133)
Epoch: [67][9750/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 1.7809 (1.8605)	Prec@1 49.219 (51.463)	Prec@5 84.375 (81.133)
Epoch: [67][9760/14090]	Time 0.862 (0.765)	Data 0.001 (0.001)	Loss 2.0247 (1.8605)	Prec@1 47.656 (51.465)	Prec@5 76.562 (81.133)
Epoch: [67][9770/14090]	Time 0.721 (0.765)	Data 0.001 (0.001)	Loss 2.0612 (1.8605)	Prec@1 50.000 (51.465)	Prec@5 74.219 (81.133)
Epoch: [67][9780/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 1.9191 (1.8605)	Prec@1 49.219 (51.463)	Prec@5 82.031 (81.133)
Epoch: [67][9790/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 2.0199 (1.8606)	Prec@1 47.656 (51.462)	Prec@5 76.562 (81.132)
Epoch: [67][9800/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 1.7724 (1.8606)	Prec@1 52.344 (51.461)	Prec@5 83.594 (81.131)
Epoch: [67][9810/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 1.9089 (1.8606)	Prec@1 49.219 (51.461)	Prec@5 79.688 (81.130)
Epoch: [67][9820/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 1.8576 (1.8606)	Prec@1 51.562 (51.459)	Prec@5 80.469 (81.129)
Epoch: [67][9830/14090]	Time 0.859 (0.765)	Data 0.001 (0.001)	Loss 2.0532 (1.8606)	Prec@1 50.000 (51.458)	Prec@5 77.344 (81.129)
Epoch: [67][9840/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 1.7550 (1.8606)	Prec@1 54.688 (51.458)	Prec@5 82.812 (81.130)
Epoch: [67][9850/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 1.9002 (1.8607)	Prec@1 50.000 (51.456)	Prec@5 79.688 (81.129)
Epoch: [67][9860/14090]	Time 0.785 (0.765)	Data 0.001 (0.001)	Loss 1.9737 (1.8606)	Prec@1 50.000 (51.458)	Prec@5 81.250 (81.129)
Epoch: [67][9870/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.0524 (1.8607)	Prec@1 44.531 (51.456)	Prec@5 79.688 (81.127)
Epoch: [67][9880/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 1.8911 (1.8607)	Prec@1 47.656 (51.455)	Prec@5 79.688 (81.127)
Epoch: [67][9890/14090]	Time 0.778 (0.765)	Data 0.001 (0.001)	Loss 1.8458 (1.8607)	Prec@1 53.906 (51.456)	Prec@5 80.469 (81.128)
Epoch: [67][9900/14090]	Time 0.851 (0.765)	Data 0.001 (0.001)	Loss 1.7429 (1.8607)	Prec@1 57.031 (51.456)	Prec@5 83.594 (81.127)
Epoch: [67][9910/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 1.6031 (1.8606)	Prec@1 50.781 (51.456)	Prec@5 83.594 (81.128)
Epoch: [67][9920/14090]	Time 0.730 (0.765)	Data 0.002 (0.001)	Loss 1.9846 (1.8607)	Prec@1 44.531 (51.454)	Prec@5 75.000 (81.126)
Epoch: [67][9930/14090]	Time 0.772 (0.765)	Data 0.001 (0.001)	Loss 1.8419 (1.8607)	Prec@1 46.875 (51.453)	Prec@5 82.031 (81.126)
Epoch: [67][9940/14090]	Time 0.770 (0.765)	Data 0.001 (0.001)	Loss 1.7550 (1.8608)	Prec@1 54.688 (51.452)	Prec@5 85.156 (81.124)
Epoch: [67][9950/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 1.9414 (1.8608)	Prec@1 53.125 (51.451)	Prec@5 75.000 (81.123)
Epoch: [67][9960/14090]	Time 0.763 (0.765)	Data 0.001 (0.001)	Loss 1.8509 (1.8607)	Prec@1 53.125 (51.453)	Prec@5 80.469 (81.123)
Epoch: [67][9970/14090]	Time 0.845 (0.765)	Data 0.001 (0.001)	Loss 2.0797 (1.8607)	Prec@1 45.312 (51.452)	Prec@5 81.250 (81.123)
Epoch: [67][9980/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.0579 (1.8608)	Prec@1 46.875 (51.450)	Prec@5 79.688 (81.124)
Epoch: [67][9990/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.1193 (1.8609)	Prec@1 51.562 (51.447)	Prec@5 77.344 (81.123)
Epoch: [67][10000/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 1.7471 (1.8609)	Prec@1 50.000 (51.447)	Prec@5 86.719 (81.122)
Epoch: [67][10010/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 1.8735 (1.8609)	Prec@1 52.344 (51.446)	Prec@5 79.688 (81.120)
Epoch: [67][10020/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 1.9156 (1.8608)	Prec@1 50.781 (51.447)	Prec@5 81.250 (81.122)
Epoch: [67][10030/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 1.7806 (1.8609)	Prec@1 51.562 (51.448)	Prec@5 82.031 (81.120)
Epoch: [67][10040/14090]	Time 0.838 (0.765)	Data 0.001 (0.001)	Loss 1.8253 (1.8608)	Prec@1 53.906 (51.449)	Prec@5 85.156 (81.122)
Epoch: [67][10050/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.0034 (1.8608)	Prec@1 52.344 (51.451)	Prec@5 76.562 (81.124)
Epoch: [67][10060/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 1.9224 (1.8609)	Prec@1 46.094 (51.447)	Prec@5 82.031 (81.121)
Epoch: [67][10070/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 1.7109 (1.8610)	Prec@1 57.031 (51.446)	Prec@5 83.594 (81.118)
Epoch: [67][10080/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 1.7573 (1.8610)	Prec@1 48.438 (51.446)	Prec@5 79.688 (81.118)
Epoch: [67][10090/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 1.6340 (1.8610)	Prec@1 55.469 (51.445)	Prec@5 82.031 (81.119)
Epoch: [67][10100/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 1.6357 (1.8610)	Prec@1 60.938 (51.445)	Prec@5 83.594 (81.119)
Epoch: [67][10110/14090]	Time 0.899 (0.765)	Data 0.001 (0.001)	Loss 1.8034 (1.8610)	Prec@1 53.125 (51.444)	Prec@5 85.156 (81.119)
Epoch: [67][10120/14090]	Time 0.722 (0.765)	Data 0.001 (0.001)	Loss 1.8219 (1.8609)	Prec@1 53.906 (51.445)	Prec@5 82.031 (81.119)
Epoch: [67][10130/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 1.8408 (1.8610)	Prec@1 56.250 (51.443)	Prec@5 82.031 (81.119)
Epoch: [67][10140/14090]	Time 0.718 (0.765)	Data 0.001 (0.001)	Loss 1.6597 (1.8610)	Prec@1 53.125 (51.442)	Prec@5 82.031 (81.119)
Epoch: [67][10150/14090]	Time 0.774 (0.765)	Data 0.001 (0.001)	Loss 1.8251 (1.8611)	Prec@1 52.344 (51.441)	Prec@5 82.812 (81.120)
Epoch: [67][10160/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 1.9672 (1.8610)	Prec@1 51.562 (51.443)	Prec@5 80.469 (81.121)
Epoch: [67][10170/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 1.9521 (1.8611)	Prec@1 50.000 (51.441)	Prec@5 82.812 (81.121)
Epoch: [67][10180/14090]	Time 0.855 (0.765)	Data 0.001 (0.001)	Loss 1.8456 (1.8610)	Prec@1 47.656 (51.441)	Prec@5 79.688 (81.122)
Epoch: [67][10190/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 1.9144 (1.8610)	Prec@1 46.094 (51.441)	Prec@5 82.812 (81.124)
Epoch: [67][10200/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.0151 (1.8610)	Prec@1 50.781 (51.443)	Prec@5 76.562 (81.122)
Epoch: [67][10210/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 1.8363 (1.8609)	Prec@1 49.219 (51.446)	Prec@5 82.812 (81.124)
Epoch: [67][10220/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.0224 (1.8609)	Prec@1 45.312 (51.445)	Prec@5 78.906 (81.124)
Epoch: [67][10230/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 1.8702 (1.8609)	Prec@1 51.562 (51.444)	Prec@5 80.469 (81.124)
Epoch: [67][10240/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 1.7138 (1.8609)	Prec@1 53.125 (51.443)	Prec@5 85.156 (81.125)
Epoch: [67][10250/14090]	Time 0.868 (0.765)	Data 0.001 (0.001)	Loss 2.0961 (1.8608)	Prec@1 45.312 (51.445)	Prec@5 78.906 (81.125)
Epoch: [67][10260/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 1.9668 (1.8609)	Prec@1 53.125 (51.446)	Prec@5 80.469 (81.125)
Epoch: [67][10270/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 1.9254 (1.8609)	Prec@1 48.438 (51.444)	Prec@5 78.125 (81.124)
Epoch: [67][10280/14090]	Time 0.768 (0.765)	Data 0.001 (0.001)	Loss 1.7598 (1.8609)	Prec@1 56.250 (51.444)	Prec@5 85.156 (81.124)
Epoch: [67][10290/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 1.9514 (1.8608)	Prec@1 49.219 (51.445)	Prec@5 82.812 (81.127)
Epoch: [67][10300/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 1.6963 (1.8607)	Prec@1 52.344 (51.448)	Prec@5 83.594 (81.127)
Epoch: [67][10310/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 1.7546 (1.8608)	Prec@1 51.562 (51.446)	Prec@5 82.812 (81.127)
Epoch: [67][10320/14090]	Time 0.865 (0.765)	Data 0.001 (0.001)	Loss 1.9164 (1.8608)	Prec@1 51.562 (51.445)	Prec@5 83.594 (81.126)
Epoch: [67][10330/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 1.8526 (1.8608)	Prec@1 47.656 (51.446)	Prec@5 82.031 (81.125)
Epoch: [67][10340/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 1.7801 (1.8609)	Prec@1 56.250 (51.444)	Prec@5 80.469 (81.123)
Epoch: [67][10350/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 2.0425 (1.8609)	Prec@1 48.438 (51.443)	Prec@5 74.219 (81.123)
Epoch: [67][10360/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 1.5976 (1.8608)	Prec@1 57.031 (51.445)	Prec@5 85.938 (81.124)
Epoch: [67][10370/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.1167 (1.8609)	Prec@1 46.875 (51.444)	Prec@5 76.562 (81.123)
Epoch: [67][10380/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 1.9430 (1.8609)	Prec@1 49.219 (51.442)	Prec@5 79.688 (81.122)
Epoch: [67][10390/14090]	Time 0.872 (0.765)	Data 0.001 (0.001)	Loss 1.7849 (1.8608)	Prec@1 50.781 (51.445)	Prec@5 84.375 (81.124)
Epoch: [67][10400/14090]	Time 0.778 (0.765)	Data 0.001 (0.001)	Loss 1.8328 (1.8608)	Prec@1 45.312 (51.445)	Prec@5 83.594 (81.124)
Epoch: [67][10410/14090]	Time 0.771 (0.765)	Data 0.001 (0.001)	Loss 2.0971 (1.8608)	Prec@1 41.406 (51.445)	Prec@5 73.438 (81.125)
Epoch: [67][10420/14090]	Time 0.787 (0.765)	Data 0.001 (0.001)	Loss 1.9922 (1.8608)	Prec@1 51.562 (51.444)	Prec@5 82.031 (81.124)
Epoch: [67][10430/14090]	Time 0.719 (0.765)	Data 0.001 (0.001)	Loss 2.1526 (1.8607)	Prec@1 40.625 (51.445)	Prec@5 75.000 (81.125)
Epoch: [67][10440/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 1.8341 (1.8608)	Prec@1 53.125 (51.445)	Prec@5 80.469 (81.124)
Epoch: [67][10450/14090]	Time 0.776 (0.765)	Data 0.001 (0.001)	Loss 1.8043 (1.8608)	Prec@1 56.250 (51.447)	Prec@5 80.469 (81.123)
Epoch: [67][10460/14090]	Time 0.878 (0.765)	Data 0.001 (0.001)	Loss 1.6515 (1.8608)	Prec@1 52.344 (51.447)	Prec@5 85.156 (81.123)
Epoch: [67][10470/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 1.8275 (1.8608)	Prec@1 46.094 (51.444)	Prec@5 83.594 (81.124)
Epoch: [67][10480/14090]	Time 0.721 (0.765)	Data 0.001 (0.001)	Loss 1.9598 (1.8608)	Prec@1 45.312 (51.444)	Prec@5 78.125 (81.124)
Epoch: [67][10490/14090]	Time 0.722 (0.765)	Data 0.001 (0.001)	Loss 1.8121 (1.8608)	Prec@1 49.219 (51.443)	Prec@5 84.375 (81.125)
Epoch: [67][10500/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 1.8571 (1.8608)	Prec@1 54.688 (51.440)	Prec@5 77.344 (81.124)
Epoch: [67][10510/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 1.9725 (1.8608)	Prec@1 51.562 (51.443)	Prec@5 76.562 (81.125)
Epoch: [67][10520/14090]	Time 0.784 (0.765)	Data 0.001 (0.001)	Loss 2.0514 (1.8607)	Prec@1 44.531 (51.444)	Prec@5 82.031 (81.126)
Epoch: [67][10530/14090]	Time 0.897 (0.765)	Data 0.001 (0.001)	Loss 1.9184 (1.8607)	Prec@1 43.750 (51.443)	Prec@5 83.594 (81.126)
Epoch: [67][10540/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 1.9102 (1.8607)	Prec@1 47.656 (51.444)	Prec@5 78.906 (81.126)
Epoch: [67][10550/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 1.7038 (1.8607)	Prec@1 60.938 (51.447)	Prec@5 82.031 (81.127)
Epoch: [67][10560/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.2094 (1.8607)	Prec@1 45.312 (51.445)	Prec@5 75.000 (81.125)
Epoch: [67][10570/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 1.7648 (1.8608)	Prec@1 54.688 (51.444)	Prec@5 79.688 (81.124)
Epoch: [67][10580/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.0380 (1.8607)	Prec@1 49.219 (51.446)	Prec@5 80.469 (81.126)
Epoch: [67][10590/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 1.6896 (1.8607)	Prec@1 54.688 (51.445)	Prec@5 82.812 (81.125)
Epoch: [67][10600/14090]	Time 0.844 (0.765)	Data 0.001 (0.001)	Loss 1.5466 (1.8607)	Prec@1 57.031 (51.445)	Prec@5 89.062 (81.126)
Epoch: [67][10610/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 1.8799 (1.8607)	Prec@1 57.031 (51.446)	Prec@5 78.125 (81.125)
Epoch: [67][10620/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 1.9611 (1.8607)	Prec@1 41.406 (51.443)	Prec@5 81.250 (81.124)
Epoch: [67][10630/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.1444 (1.8608)	Prec@1 45.312 (51.443)	Prec@5 75.781 (81.124)
Epoch: [67][10640/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 1.8786 (1.8607)	Prec@1 49.219 (51.443)	Prec@5 79.688 (81.125)
Epoch: [67][10650/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 2.1265 (1.8608)	Prec@1 46.094 (51.441)	Prec@5 75.781 (81.123)
Epoch: [67][10660/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 1.9463 (1.8608)	Prec@1 50.781 (51.440)	Prec@5 81.250 (81.123)
Epoch: [67][10670/14090]	Time 0.869 (0.765)	Data 0.001 (0.001)	Loss 1.7514 (1.8608)	Prec@1 56.250 (51.442)	Prec@5 82.031 (81.124)
Epoch: [67][10680/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 1.7321 (1.8608)	Prec@1 50.781 (51.442)	Prec@5 82.031 (81.123)
Epoch: [67][10690/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 1.9492 (1.8608)	Prec@1 50.781 (51.443)	Prec@5 78.125 (81.124)
Epoch: [67][10700/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 1.5494 (1.8608)	Prec@1 57.031 (51.443)	Prec@5 84.375 (81.124)
Epoch: [67][10710/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.0180 (1.8608)	Prec@1 48.438 (51.442)	Prec@5 77.344 (81.124)
Epoch: [67][10720/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 1.9228 (1.8608)	Prec@1 52.344 (51.443)	Prec@5 78.906 (81.123)
Epoch: [67][10730/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 1.8334 (1.8609)	Prec@1 52.344 (51.443)	Prec@5 80.469 (81.122)
Epoch: [67][10740/14090]	Time 0.868 (0.765)	Data 0.001 (0.001)	Loss 1.6286 (1.8608)	Prec@1 57.031 (51.443)	Prec@5 88.281 (81.122)
Epoch: [67][10750/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 1.7614 (1.8608)	Prec@1 54.688 (51.444)	Prec@5 80.469 (81.123)
Epoch: [67][10760/14090]	Time 0.766 (0.765)	Data 0.001 (0.001)	Loss 1.5882 (1.8607)	Prec@1 57.812 (51.447)	Prec@5 82.812 (81.123)
Epoch: [67][10770/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 1.8445 (1.8608)	Prec@1 53.125 (51.447)	Prec@5 79.688 (81.122)
Epoch: [67][10780/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 2.0095 (1.8609)	Prec@1 47.656 (51.446)	Prec@5 76.562 (81.120)
Epoch: [67][10790/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 1.5794 (1.8607)	Prec@1 53.125 (51.447)	Prec@5 85.938 (81.123)
Epoch: [67][10800/14090]	Time 0.783 (0.765)	Data 0.001 (0.001)	Loss 1.8231 (1.8607)	Prec@1 52.344 (51.448)	Prec@5 84.375 (81.122)
Epoch: [67][10810/14090]	Time 0.900 (0.765)	Data 0.001 (0.001)	Loss 1.6961 (1.8607)	Prec@1 53.906 (51.448)	Prec@5 82.031 (81.123)
Epoch: [67][10820/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 1.8829 (1.8607)	Prec@1 54.688 (51.448)	Prec@5 84.375 (81.124)
Epoch: [67][10830/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 1.9268 (1.8607)	Prec@1 44.531 (51.448)	Prec@5 76.562 (81.124)
Epoch: [67][10840/14090]	Time 0.774 (0.765)	Data 0.001 (0.001)	Loss 1.8858 (1.8608)	Prec@1 56.250 (51.446)	Prec@5 82.031 (81.123)
Epoch: [67][10850/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 1.6717 (1.8608)	Prec@1 55.469 (51.446)	Prec@5 87.500 (81.122)
Epoch: [67][10860/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 1.8427 (1.8607)	Prec@1 56.250 (51.446)	Prec@5 82.812 (81.124)
Epoch: [67][10870/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 2.0536 (1.8607)	Prec@1 50.000 (51.448)	Prec@5 78.125 (81.125)
Epoch: [67][10880/14090]	Time 0.857 (0.765)	Data 0.001 (0.001)	Loss 1.9681 (1.8607)	Prec@1 53.125 (51.448)	Prec@5 81.250 (81.125)
Epoch: [67][10890/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 1.8236 (1.8607)	Prec@1 51.562 (51.448)	Prec@5 78.906 (81.124)
Epoch: [67][10900/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 1.7748 (1.8607)	Prec@1 51.562 (51.447)	Prec@5 83.594 (81.123)
Epoch: [67][10910/14090]	Time 0.772 (0.765)	Data 0.001 (0.001)	Loss 1.9813 (1.8608)	Prec@1 47.656 (51.446)	Prec@5 80.469 (81.124)
Epoch: [67][10920/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 1.6353 (1.8607)	Prec@1 58.594 (51.448)	Prec@5 85.938 (81.126)
Epoch: [67][10930/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 1.7792 (1.8607)	Prec@1 57.812 (51.449)	Prec@5 82.812 (81.127)
Epoch: [67][10940/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 1.7958 (1.8608)	Prec@1 50.000 (51.447)	Prec@5 82.812 (81.127)
Epoch: [67][10950/14090]	Time 0.823 (0.765)	Data 0.001 (0.001)	Loss 1.9986 (1.8608)	Prec@1 46.094 (51.445)	Prec@5 79.688 (81.125)
Epoch: [67][10960/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.0333 (1.8609)	Prec@1 46.094 (51.443)	Prec@5 82.812 (81.125)
Epoch: [67][10970/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 1.9558 (1.8610)	Prec@1 53.906 (51.442)	Prec@5 74.219 (81.123)
Epoch: [67][10980/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 1.7858 (1.8609)	Prec@1 56.250 (51.443)	Prec@5 82.031 (81.123)
Epoch: [67][10990/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 1.7330 (1.8610)	Prec@1 56.250 (51.443)	Prec@5 78.125 (81.121)
Epoch: [67][11000/14090]	Time 0.770 (0.765)	Data 0.001 (0.001)	Loss 1.8856 (1.8610)	Prec@1 53.125 (51.443)	Prec@5 81.250 (81.121)
Epoch: [67][11010/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.1868 (1.8609)	Prec@1 46.875 (51.446)	Prec@5 71.094 (81.122)
Epoch: [67][11020/14090]	Time 0.830 (0.765)	Data 0.001 (0.001)	Loss 1.5609 (1.8608)	Prec@1 60.938 (51.447)	Prec@5 83.594 (81.123)
Epoch: [67][11030/14090]	Time 0.759 (0.765)	Data 0.001 (0.001)	Loss 1.8176 (1.8607)	Prec@1 50.781 (51.449)	Prec@5 83.594 (81.125)
Epoch: [67][11040/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 1.9372 (1.8607)	Prec@1 48.438 (51.451)	Prec@5 78.125 (81.123)
Epoch: [67][11050/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 1.9257 (1.8608)	Prec@1 46.875 (51.448)	Prec@5 80.469 (81.122)
Epoch: [67][11060/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 1.5912 (1.8607)	Prec@1 56.250 (51.449)	Prec@5 87.500 (81.123)
Epoch: [67][11070/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.0736 (1.8608)	Prec@1 42.188 (51.445)	Prec@5 79.688 (81.122)
Epoch: [67][11080/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 1.6422 (1.8608)	Prec@1 58.594 (51.446)	Prec@5 82.812 (81.123)
Epoch: [67][11090/14090]	Time 0.902 (0.765)	Data 0.001 (0.001)	Loss 1.6015 (1.8607)	Prec@1 53.906 (51.449)	Prec@5 85.938 (81.125)
Epoch: [67][11100/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 1.9668 (1.8607)	Prec@1 44.531 (51.448)	Prec@5 82.812 (81.125)
Epoch: [67][11110/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 1.9564 (1.8606)	Prec@1 46.875 (51.447)	Prec@5 78.125 (81.126)
Epoch: [67][11120/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 1.8464 (1.8606)	Prec@1 42.969 (51.447)	Prec@5 81.250 (81.127)
Epoch: [67][11130/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 1.7812 (1.8605)	Prec@1 56.250 (51.448)	Prec@5 78.906 (81.127)
Epoch: [67][11140/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 1.7874 (1.8605)	Prec@1 52.344 (51.448)	Prec@5 85.938 (81.128)
Epoch: [67][11150/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 1.9306 (1.8605)	Prec@1 46.094 (51.446)	Prec@5 79.688 (81.129)
Epoch: [67][11160/14090]	Time 0.881 (0.765)	Data 0.001 (0.001)	Loss 1.7198 (1.8605)	Prec@1 54.688 (51.447)	Prec@5 86.719 (81.129)
Epoch: [67][11170/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 1.7172 (1.8606)	Prec@1 60.156 (51.447)	Prec@5 77.344 (81.128)
Epoch: [67][11180/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.1243 (1.8605)	Prec@1 47.656 (51.447)	Prec@5 75.781 (81.128)
Epoch: [67][11190/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 1.6323 (1.8605)	Prec@1 56.250 (51.447)	Prec@5 87.500 (81.129)
Epoch: [67][11200/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 1.7896 (1.8605)	Prec@1 46.875 (51.447)	Prec@5 80.469 (81.129)
Epoch: [67][11210/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 1.6457 (1.8605)	Prec@1 55.469 (51.447)	Prec@5 85.156 (81.128)
Epoch: [67][11220/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 1.6890 (1.8604)	Prec@1 52.344 (51.447)	Prec@5 82.812 (81.129)
Epoch: [67][11230/14090]	Time 0.838 (0.765)	Data 0.001 (0.001)	Loss 1.7630 (1.8604)	Prec@1 55.469 (51.447)	Prec@5 82.031 (81.130)
Epoch: [67][11240/14090]	Time 0.777 (0.765)	Data 0.001 (0.001)	Loss 1.9972 (1.8604)	Prec@1 47.656 (51.448)	Prec@5 75.781 (81.130)
Epoch: [67][11250/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 2.1368 (1.8605)	Prec@1 48.438 (51.448)	Prec@5 73.438 (81.128)
Epoch: [67][11260/14090]	Time 0.776 (0.765)	Data 0.001 (0.001)	Loss 1.7106 (1.8604)	Prec@1 53.125 (51.450)	Prec@5 82.031 (81.130)
Epoch: [67][11270/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 1.9487 (1.8604)	Prec@1 53.125 (51.450)	Prec@5 78.906 (81.130)
Epoch: [67][11280/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 1.9891 (1.8603)	Prec@1 47.656 (51.449)	Prec@5 77.344 (81.131)
Epoch: [67][11290/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.0781 (1.8604)	Prec@1 50.781 (51.448)	Prec@5 78.906 (81.131)
Epoch: [67][11300/14090]	Time 0.857 (0.765)	Data 0.001 (0.001)	Loss 1.9013 (1.8603)	Prec@1 47.656 (51.450)	Prec@5 80.469 (81.132)
Epoch: [67][11310/14090]	Time 0.778 (0.765)	Data 0.001 (0.001)	Loss 1.7244 (1.8604)	Prec@1 50.000 (51.449)	Prec@5 84.375 (81.130)
Epoch: [67][11320/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 1.8671 (1.8605)	Prec@1 47.656 (51.446)	Prec@5 78.906 (81.129)
Epoch: [67][11330/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 1.8798 (1.8606)	Prec@1 50.781 (51.444)	Prec@5 82.812 (81.128)
Epoch: [67][11340/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 1.9881 (1.8606)	Prec@1 49.219 (51.443)	Prec@5 76.562 (81.128)
Epoch: [67][11350/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 1.9235 (1.8606)	Prec@1 47.656 (51.442)	Prec@5 81.250 (81.129)
Epoch: [67][11360/14090]	Time 0.769 (0.765)	Data 0.001 (0.001)	Loss 1.7161 (1.8606)	Prec@1 59.375 (51.443)	Prec@5 85.156 (81.130)
Epoch: [67][11370/14090]	Time 0.828 (0.765)	Data 0.001 (0.001)	Loss 2.0126 (1.8606)	Prec@1 46.875 (51.443)	Prec@5 75.000 (81.129)
Epoch: [67][11380/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 1.8857 (1.8606)	Prec@1 50.781 (51.443)	Prec@5 82.031 (81.130)
Epoch: [67][11390/14090]	Time 0.798 (0.765)	Data 0.001 (0.001)	Loss 1.5843 (1.8605)	Prec@1 56.250 (51.445)	Prec@5 87.500 (81.131)
Epoch: [67][11400/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 2.0573 (1.8605)	Prec@1 52.344 (51.446)	Prec@5 80.469 (81.131)
Epoch: [67][11410/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 1.9481 (1.8606)	Prec@1 50.000 (51.444)	Prec@5 80.469 (81.131)
Epoch: [67][11420/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 1.7489 (1.8605)	Prec@1 57.031 (51.446)	Prec@5 82.031 (81.132)
Epoch: [67][11430/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 1.9634 (1.8606)	Prec@1 47.656 (51.444)	Prec@5 78.906 (81.131)
Epoch: [67][11440/14090]	Time 0.864 (0.765)	Data 0.001 (0.001)	Loss 1.7278 (1.8606)	Prec@1 52.344 (51.443)	Prec@5 84.375 (81.132)
Epoch: [67][11450/14090]	Time 0.766 (0.765)	Data 0.002 (0.001)	Loss 1.8109 (1.8607)	Prec@1 52.344 (51.440)	Prec@5 82.031 (81.130)
Epoch: [67][11460/14090]	Time 0.784 (0.765)	Data 0.001 (0.001)	Loss 1.7918 (1.8606)	Prec@1 55.469 (51.441)	Prec@5 82.031 (81.130)
Epoch: [67][11470/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 1.8551 (1.8607)	Prec@1 50.781 (51.440)	Prec@5 82.812 (81.130)
Epoch: [67][11480/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 1.7917 (1.8607)	Prec@1 53.906 (51.440)	Prec@5 79.688 (81.129)
Epoch: [67][11490/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 1.8847 (1.8607)	Prec@1 49.219 (51.439)	Prec@5 79.688 (81.129)
Epoch: [67][11500/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 1.8237 (1.8607)	Prec@1 50.781 (51.439)	Prec@5 82.031 (81.128)
Epoch: [67][11510/14090]	Time 0.992 (0.765)	Data 0.001 (0.001)	Loss 1.9103 (1.8608)	Prec@1 53.906 (51.437)	Prec@5 82.031 (81.127)
Epoch: [67][11520/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 1.8762 (1.8608)	Prec@1 47.656 (51.437)	Prec@5 78.906 (81.127)
Epoch: [67][11530/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 1.8425 (1.8606)	Prec@1 47.656 (51.440)	Prec@5 81.250 (81.129)
Epoch: [67][11540/14090]	Time 0.777 (0.765)	Data 0.001 (0.001)	Loss 2.0174 (1.8606)	Prec@1 47.656 (51.440)	Prec@5 75.000 (81.129)
Epoch: [67][11550/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 1.9101 (1.8606)	Prec@1 46.094 (51.438)	Prec@5 80.469 (81.128)
Epoch: [67][11560/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.0780 (1.8606)	Prec@1 51.562 (51.438)	Prec@5 76.562 (81.128)
Epoch: [67][11570/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 1.7974 (1.8606)	Prec@1 56.250 (51.439)	Prec@5 76.562 (81.128)
Epoch: [67][11580/14090]	Time 0.860 (0.765)	Data 0.001 (0.001)	Loss 2.0252 (1.8606)	Prec@1 48.438 (51.439)	Prec@5 79.688 (81.128)
Epoch: [67][11590/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 1.6691 (1.8606)	Prec@1 51.562 (51.438)	Prec@5 84.375 (81.129)
Epoch: [67][11600/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 1.9407 (1.8606)	Prec@1 42.188 (51.436)	Prec@5 84.375 (81.129)
Epoch: [67][11610/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 1.8950 (1.8607)	Prec@1 46.875 (51.434)	Prec@5 82.812 (81.127)
Epoch: [67][11620/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 1.7494 (1.8607)	Prec@1 51.562 (51.435)	Prec@5 83.594 (81.128)
Epoch: [67][11630/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 1.8635 (1.8607)	Prec@1 50.000 (51.434)	Prec@5 83.594 (81.126)
Epoch: [67][11640/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 1.9301 (1.8608)	Prec@1 46.875 (51.432)	Prec@5 78.906 (81.127)
Epoch: [67][11650/14090]	Time 0.982 (0.765)	Data 0.001 (0.001)	Loss 1.7588 (1.8607)	Prec@1 54.688 (51.434)	Prec@5 82.812 (81.126)
Epoch: [67][11660/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 1.9951 (1.8606)	Prec@1 45.312 (51.435)	Prec@5 73.438 (81.128)
Epoch: [67][11670/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 1.7862 (1.8606)	Prec@1 52.344 (51.434)	Prec@5 81.250 (81.129)
Epoch: [67][11680/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 1.8448 (1.8606)	Prec@1 49.219 (51.433)	Prec@5 80.469 (81.128)
Epoch: [67][11690/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 1.6335 (1.8606)	Prec@1 57.031 (51.432)	Prec@5 85.156 (81.127)
Epoch: [67][11700/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 1.6499 (1.8607)	Prec@1 56.250 (51.431)	Prec@5 84.375 (81.127)
Epoch: [67][11710/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 1.7481 (1.8606)	Prec@1 55.469 (51.430)	Prec@5 81.250 (81.127)
Epoch: [67][11720/14090]	Time 0.907 (0.765)	Data 0.001 (0.001)	Loss 1.8976 (1.8606)	Prec@1 47.656 (51.430)	Prec@5 78.125 (81.126)
Epoch: [67][11730/14090]	Time 0.771 (0.765)	Data 0.001 (0.001)	Loss 1.8144 (1.8606)	Prec@1 55.469 (51.431)	Prec@5 85.156 (81.126)
Epoch: [67][11740/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 1.7737 (1.8606)	Prec@1 51.562 (51.431)	Prec@5 82.031 (81.126)
Epoch: [67][11750/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 2.0901 (1.8607)	Prec@1 42.969 (51.429)	Prec@5 78.125 (81.126)
Epoch: [67][11760/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 1.7065 (1.8606)	Prec@1 56.250 (51.431)	Prec@5 83.594 (81.128)
Epoch: [67][11770/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 1.8793 (1.8606)	Prec@1 47.656 (51.430)	Prec@5 78.906 (81.127)
Epoch: [67][11780/14090]	Time 0.786 (0.765)	Data 0.001 (0.001)	Loss 1.8096 (1.8606)	Prec@1 50.000 (51.430)	Prec@5 82.031 (81.128)
Epoch: [67][11790/14090]	Time 0.865 (0.765)	Data 0.001 (0.001)	Loss 2.1050 (1.8606)	Prec@1 44.531 (51.429)	Prec@5 71.875 (81.125)
Epoch: [67][11800/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 1.9781 (1.8607)	Prec@1 55.469 (51.428)	Prec@5 78.125 (81.123)
Epoch: [67][11810/14090]	Time 0.722 (0.765)	Data 0.001 (0.001)	Loss 1.7805 (1.8608)	Prec@1 51.562 (51.427)	Prec@5 78.125 (81.122)
Epoch: [67][11820/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 1.8620 (1.8608)	Prec@1 52.344 (51.427)	Prec@5 81.250 (81.122)
Epoch: [67][11830/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 2.0321 (1.8608)	Prec@1 47.656 (51.427)	Prec@5 78.125 (81.121)
Epoch: [67][11840/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 1.8845 (1.8608)	Prec@1 54.688 (51.428)	Prec@5 78.125 (81.120)
Epoch: [67][11850/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 1.8333 (1.8608)	Prec@1 49.219 (51.428)	Prec@5 83.594 (81.121)
Epoch: [67][11860/14090]	Time 0.818 (0.765)	Data 0.001 (0.001)	Loss 1.6676 (1.8609)	Prec@1 54.688 (51.426)	Prec@5 85.156 (81.119)
Epoch: [67][11870/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 1.8562 (1.8609)	Prec@1 52.344 (51.426)	Prec@5 78.906 (81.118)
Epoch: [67][11880/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 1.7422 (1.8608)	Prec@1 51.562 (51.427)	Prec@5 82.031 (81.119)
Epoch: [67][11890/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 1.9966 (1.8609)	Prec@1 45.312 (51.426)	Prec@5 77.344 (81.117)
Epoch: [67][11900/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 1.6540 (1.8609)	Prec@1 54.688 (51.426)	Prec@5 81.250 (81.118)
Epoch: [67][11910/14090]	Time 0.739 (0.765)	Data 0.001 (0.001)	Loss 1.8704 (1.8609)	Prec@1 53.906 (51.426)	Prec@5 78.906 (81.118)
Epoch: [67][11920/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 1.8527 (1.8609)	Prec@1 55.469 (51.426)	Prec@5 80.469 (81.117)
Epoch: [67][11930/14090]	Time 0.897 (0.765)	Data 0.001 (0.001)	Loss 1.8958 (1.8610)	Prec@1 48.438 (51.426)	Prec@5 83.594 (81.116)
Epoch: [67][11940/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 1.8511 (1.8610)	Prec@1 50.781 (51.427)	Prec@5 80.469 (81.115)
Epoch: [67][11950/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 2.0091 (1.8610)	Prec@1 52.344 (51.426)	Prec@5 77.344 (81.114)
Epoch: [67][11960/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 1.8592 (1.8611)	Prec@1 50.781 (51.425)	Prec@5 84.375 (81.113)
Epoch: [67][11970/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 1.5065 (1.8611)	Prec@1 57.812 (51.422)	Prec@5 89.844 (81.113)
Epoch: [67][11980/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 2.1601 (1.8612)	Prec@1 46.875 (51.421)	Prec@5 75.000 (81.112)
Epoch: [67][11990/14090]	Time 0.770 (0.765)	Data 0.001 (0.001)	Loss 1.8988 (1.8612)	Prec@1 56.250 (51.421)	Prec@5 79.688 (81.112)
Epoch: [67][12000/14090]	Time 0.846 (0.765)	Data 0.001 (0.001)	Loss 2.0361 (1.8612)	Prec@1 52.344 (51.421)	Prec@5 77.344 (81.113)
Epoch: [67][12010/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 1.8895 (1.8612)	Prec@1 50.781 (51.422)	Prec@5 79.688 (81.112)
Epoch: [67][12020/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 1.8409 (1.8611)	Prec@1 50.781 (51.424)	Prec@5 82.812 (81.113)
Epoch: [67][12030/14090]	Time 0.740 (0.765)	Data 0.002 (0.001)	Loss 1.9749 (1.8611)	Prec@1 50.000 (51.423)	Prec@5 80.469 (81.114)
Epoch: [67][12040/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 1.8399 (1.8611)	Prec@1 50.000 (51.424)	Prec@5 81.250 (81.116)
Epoch: [67][12050/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 1.7698 (1.8611)	Prec@1 57.812 (51.426)	Prec@5 82.031 (81.116)
Epoch: [67][12060/14090]	Time 0.777 (0.765)	Data 0.001 (0.001)	Loss 1.7852 (1.8611)	Prec@1 48.438 (51.425)	Prec@5 85.156 (81.115)
Epoch: [67][12070/14090]	Time 0.857 (0.765)	Data 0.001 (0.001)	Loss 1.9020 (1.8611)	Prec@1 53.906 (51.423)	Prec@5 78.906 (81.115)
Epoch: [67][12080/14090]	Time 0.725 (0.765)	Data 0.002 (0.001)	Loss 1.9526 (1.8612)	Prec@1 46.875 (51.421)	Prec@5 77.344 (81.114)
Epoch: [67][12090/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 1.4738 (1.8612)	Prec@1 62.500 (51.421)	Prec@5 88.281 (81.113)
Epoch: [67][12100/14090]	Time 0.754 (0.765)	Data 0.002 (0.001)	Loss 1.9064 (1.8613)	Prec@1 45.312 (51.421)	Prec@5 77.344 (81.112)
Epoch: [67][12110/14090]	Time 0.776 (0.765)	Data 0.001 (0.001)	Loss 1.7236 (1.8613)	Prec@1 53.906 (51.420)	Prec@5 85.156 (81.112)
Epoch: [67][12120/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 2.0163 (1.8614)	Prec@1 50.781 (51.420)	Prec@5 77.344 (81.111)
Epoch: [67][12130/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 1.9371 (1.8614)	Prec@1 50.781 (51.420)	Prec@5 78.906 (81.110)
Epoch: [67][12140/14090]	Time 0.873 (0.765)	Data 0.001 (0.001)	Loss 1.8971 (1.8614)	Prec@1 45.312 (51.420)	Prec@5 85.156 (81.109)
Epoch: [67][12150/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 2.0074 (1.8614)	Prec@1 48.438 (51.421)	Prec@5 78.125 (81.110)
Epoch: [67][12160/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 1.7966 (1.8614)	Prec@1 53.125 (51.420)	Prec@5 83.594 (81.109)
Epoch: [67][12170/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 1.8851 (1.8615)	Prec@1 52.344 (51.419)	Prec@5 79.688 (81.109)
Epoch: [67][12180/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 1.8385 (1.8615)	Prec@1 50.781 (51.418)	Prec@5 83.594 (81.109)
Epoch: [67][12190/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 1.9585 (1.8614)	Prec@1 46.875 (51.418)	Prec@5 82.031 (81.109)
Epoch: [67][12200/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 1.8012 (1.8615)	Prec@1 54.688 (51.418)	Prec@5 84.375 (81.110)
Epoch: [67][12210/14090]	Time 0.827 (0.765)	Data 0.001 (0.001)	Loss 1.8979 (1.8615)	Prec@1 54.688 (51.419)	Prec@5 80.469 (81.110)
Epoch: [67][12220/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 1.9610 (1.8615)	Prec@1 46.875 (51.417)	Prec@5 82.812 (81.111)
Epoch: [67][12230/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 1.8403 (1.8615)	Prec@1 46.094 (51.416)	Prec@5 85.156 (81.112)
Epoch: [67][12240/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 2.4710 (1.8615)	Prec@1 38.281 (51.417)	Prec@5 68.750 (81.112)
Epoch: [67][12250/14090]	Time 0.761 (0.765)	Data 0.001 (0.001)	Loss 1.8673 (1.8615)	Prec@1 54.688 (51.417)	Prec@5 84.375 (81.111)
Epoch: [67][12260/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 2.1128 (1.8616)	Prec@1 43.750 (51.413)	Prec@5 73.438 (81.109)
Epoch: [67][12270/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 1.9207 (1.8617)	Prec@1 51.562 (51.411)	Prec@5 82.031 (81.108)
Epoch: [67][12280/14090]	Time 0.917 (0.765)	Data 0.001 (0.001)	Loss 1.7246 (1.8617)	Prec@1 55.469 (51.410)	Prec@5 84.375 (81.108)
Epoch: [67][12290/14090]	Time 0.719 (0.765)	Data 0.001 (0.001)	Loss 1.9279 (1.8617)	Prec@1 52.344 (51.411)	Prec@5 78.906 (81.108)
Epoch: [67][12300/14090]	Time 0.783 (0.765)	Data 0.001 (0.001)	Loss 1.8351 (1.8617)	Prec@1 48.438 (51.411)	Prec@5 81.250 (81.108)
Epoch: [67][12310/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 1.9177 (1.8617)	Prec@1 53.125 (51.412)	Prec@5 82.812 (81.108)
Epoch: [67][12320/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.0515 (1.8617)	Prec@1 48.438 (51.411)	Prec@5 76.562 (81.108)
Epoch: [67][12330/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 1.7841 (1.8616)	Prec@1 53.906 (51.412)	Prec@5 82.031 (81.108)
Epoch: [67][12340/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 1.9395 (1.8617)	Prec@1 53.125 (51.411)	Prec@5 79.688 (81.108)
Epoch: [67][12350/14090]	Time 0.916 (0.765)	Data 0.001 (0.001)	Loss 1.6993 (1.8616)	Prec@1 55.469 (51.412)	Prec@5 82.812 (81.108)
Epoch: [67][12360/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 1.7854 (1.8617)	Prec@1 55.469 (51.411)	Prec@5 80.469 (81.107)
Epoch: [67][12370/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 1.9130 (1.8616)	Prec@1 53.125 (51.413)	Prec@5 77.344 (81.109)
Epoch: [67][12380/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 1.7092 (1.8616)	Prec@1 54.688 (51.414)	Prec@5 81.250 (81.109)
Epoch: [67][12390/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.2224 (1.8617)	Prec@1 46.875 (51.411)	Prec@5 73.438 (81.106)
Epoch: [67][12400/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 2.0885 (1.8618)	Prec@1 47.656 (51.410)	Prec@5 76.562 (81.104)
Epoch: [67][12410/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 1.8878 (1.8618)	Prec@1 56.250 (51.409)	Prec@5 79.688 (81.103)
Epoch: [67][12420/14090]	Time 0.821 (0.765)	Data 0.001 (0.001)	Loss 2.1303 (1.8619)	Prec@1 43.750 (51.407)	Prec@5 79.688 (81.102)
Epoch: [67][12430/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 1.8640 (1.8619)	Prec@1 50.781 (51.406)	Prec@5 80.469 (81.101)
Epoch: [67][12440/14090]	Time 0.741 (0.765)	Data 0.002 (0.001)	Loss 1.7751 (1.8620)	Prec@1 53.906 (51.405)	Prec@5 85.938 (81.101)
Epoch: [67][12450/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 1.9079 (1.8620)	Prec@1 50.781 (51.406)	Prec@5 80.469 (81.100)
Epoch: [67][12460/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 1.8728 (1.8620)	Prec@1 50.781 (51.405)	Prec@5 74.219 (81.099)
Epoch: [67][12470/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.1010 (1.8620)	Prec@1 46.094 (51.406)	Prec@5 76.562 (81.098)
Epoch: [67][12480/14090]	Time 0.774 (0.765)	Data 0.001 (0.001)	Loss 1.9924 (1.8620)	Prec@1 48.438 (51.406)	Prec@5 75.781 (81.099)
Epoch: [67][12490/14090]	Time 0.885 (0.765)	Data 0.001 (0.001)	Loss 2.0060 (1.8620)	Prec@1 52.344 (51.407)	Prec@5 73.438 (81.099)
Epoch: [67][12500/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 1.6783 (1.8620)	Prec@1 56.250 (51.406)	Prec@5 83.594 (81.099)
Epoch: [67][12510/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.0224 (1.8621)	Prec@1 57.031 (51.406)	Prec@5 82.031 (81.097)
Epoch: [67][12520/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 1.8600 (1.8621)	Prec@1 52.344 (51.404)	Prec@5 81.250 (81.097)
Epoch: [67][12530/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 1.7658 (1.8621)	Prec@1 51.562 (51.404)	Prec@5 82.812 (81.097)
Epoch: [67][12540/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.0278 (1.8622)	Prec@1 44.531 (51.403)	Prec@5 78.906 (81.096)
Epoch: [67][12550/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 1.6482 (1.8622)	Prec@1 62.500 (51.403)	Prec@5 84.375 (81.096)
Epoch: [67][12560/14090]	Time 0.944 (0.765)	Data 0.001 (0.001)	Loss 1.6594 (1.8622)	Prec@1 59.375 (51.405)	Prec@5 82.812 (81.097)
Epoch: [67][12570/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.1638 (1.8622)	Prec@1 46.875 (51.404)	Prec@5 75.000 (81.096)
Epoch: [67][12580/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 1.8102 (1.8622)	Prec@1 45.312 (51.404)	Prec@5 82.812 (81.096)
Epoch: [67][12590/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 1.6952 (1.8622)	Prec@1 52.344 (51.403)	Prec@5 89.062 (81.096)
Epoch: [67][12600/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 1.7626 (1.8622)	Prec@1 50.781 (51.403)	Prec@5 86.719 (81.094)
Epoch: [67][12610/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 1.8339 (1.8623)	Prec@1 50.000 (51.401)	Prec@5 83.594 (81.093)
Epoch: [67][12620/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 1.8376 (1.8623)	Prec@1 48.438 (51.400)	Prec@5 78.125 (81.092)
Epoch: [67][12630/14090]	Time 0.848 (0.765)	Data 0.001 (0.001)	Loss 1.9073 (1.8624)	Prec@1 46.875 (51.400)	Prec@5 81.250 (81.092)
Epoch: [67][12640/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 1.6898 (1.8624)	Prec@1 58.594 (51.398)	Prec@5 85.156 (81.090)
Epoch: [67][12650/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 1.8305 (1.8625)	Prec@1 50.781 (51.399)	Prec@5 82.031 (81.090)
Epoch: [67][12660/14090]	Time 0.745 (0.765)	Data 0.001 (0.001)	Loss 2.0606 (1.8624)	Prec@1 44.531 (51.399)	Prec@5 76.562 (81.089)
Epoch: [67][12670/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 1.7747 (1.8624)	Prec@1 57.812 (51.399)	Prec@5 78.125 (81.089)
Epoch: [67][12680/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 1.8017 (1.8624)	Prec@1 57.031 (51.399)	Prec@5 81.250 (81.089)
Epoch: [67][12690/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.0016 (1.8624)	Prec@1 49.219 (51.399)	Prec@5 78.906 (81.089)
Epoch: [67][12700/14090]	Time 0.866 (0.765)	Data 0.001 (0.001)	Loss 1.9480 (1.8624)	Prec@1 48.438 (51.400)	Prec@5 82.812 (81.090)
Epoch: [67][12710/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 1.9132 (1.8624)	Prec@1 53.906 (51.401)	Prec@5 80.469 (81.090)
Epoch: [67][12720/14090]	Time 0.772 (0.765)	Data 0.001 (0.001)	Loss 1.8304 (1.8624)	Prec@1 51.562 (51.399)	Prec@5 78.906 (81.089)
Epoch: [67][12730/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 1.8388 (1.8624)	Prec@1 55.469 (51.399)	Prec@5 78.125 (81.089)
Epoch: [67][12740/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 1.8038 (1.8625)	Prec@1 53.125 (51.398)	Prec@5 82.031 (81.088)
Epoch: [67][12750/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 1.7725 (1.8625)	Prec@1 51.562 (51.398)	Prec@5 88.281 (81.088)
Epoch: [67][12760/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 1.7018 (1.8624)	Prec@1 52.344 (51.399)	Prec@5 85.156 (81.090)
Epoch: [67][12770/14090]	Time 0.899 (0.765)	Data 0.001 (0.001)	Loss 1.9270 (1.8625)	Prec@1 54.688 (51.399)	Prec@5 82.031 (81.089)
Epoch: [67][12780/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 1.8366 (1.8624)	Prec@1 50.000 (51.400)	Prec@5 80.469 (81.090)
Epoch: [67][12790/14090]	Time 0.728 (0.765)	Data 0.001 (0.001)	Loss 1.8797 (1.8625)	Prec@1 53.125 (51.399)	Prec@5 79.688 (81.089)
Epoch: [67][12800/14090]	Time 0.747 (0.765)	Data 0.001 (0.001)	Loss 1.8325 (1.8625)	Prec@1 52.344 (51.397)	Prec@5 83.594 (81.089)
Epoch: [67][12810/14090]	Time 0.771 (0.765)	Data 0.001 (0.001)	Loss 1.8553 (1.8625)	Prec@1 53.125 (51.398)	Prec@5 78.906 (81.088)
Epoch: [67][12820/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.0408 (1.8626)	Prec@1 45.312 (51.398)	Prec@5 77.344 (81.087)
Epoch: [67][12830/14090]	Time 0.767 (0.765)	Data 0.001 (0.001)	Loss 1.9152 (1.8626)	Prec@1 50.000 (51.398)	Prec@5 82.031 (81.086)
Epoch: [67][12840/14090]	Time 0.846 (0.765)	Data 0.001 (0.001)	Loss 1.7131 (1.8626)	Prec@1 53.906 (51.398)	Prec@5 80.469 (81.086)
Epoch: [67][12850/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 1.6489 (1.8626)	Prec@1 53.906 (51.398)	Prec@5 83.594 (81.086)
Epoch: [67][12860/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 1.8525 (1.8626)	Prec@1 50.781 (51.399)	Prec@5 78.906 (81.086)
Epoch: [67][12870/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 1.8409 (1.8626)	Prec@1 53.125 (51.399)	Prec@5 82.812 (81.086)
Epoch: [67][12880/14090]	Time 0.732 (0.765)	Data 0.001 (0.001)	Loss 2.0918 (1.8627)	Prec@1 44.531 (51.396)	Prec@5 76.562 (81.083)
Epoch: [67][12890/14090]	Time 0.760 (0.765)	Data 0.001 (0.001)	Loss 1.7740 (1.8627)	Prec@1 54.688 (51.397)	Prec@5 78.906 (81.082)
Epoch: [67][12900/14090]	Time 0.776 (0.765)	Data 0.001 (0.001)	Loss 1.7620 (1.8627)	Prec@1 53.906 (51.395)	Prec@5 85.938 (81.083)
Epoch: [67][12910/14090]	Time 0.890 (0.765)	Data 0.001 (0.001)	Loss 1.9429 (1.8627)	Prec@1 47.656 (51.396)	Prec@5 78.906 (81.083)
Epoch: [67][12920/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.2600 (1.8628)	Prec@1 44.531 (51.395)	Prec@5 71.094 (81.081)
Epoch: [67][12930/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 1.6753 (1.8629)	Prec@1 55.469 (51.394)	Prec@5 85.938 (81.081)
Epoch: [67][12940/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 1.6738 (1.8629)	Prec@1 56.250 (51.395)	Prec@5 82.031 (81.081)
Epoch: [67][12950/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 1.6704 (1.8629)	Prec@1 59.375 (51.396)	Prec@5 82.812 (81.081)
Epoch: [67][12960/14090]	Time 0.766 (0.765)	Data 0.001 (0.001)	Loss 1.9758 (1.8628)	Prec@1 45.312 (51.398)	Prec@5 78.125 (81.082)
Epoch: [67][12970/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 1.6479 (1.8627)	Prec@1 52.344 (51.399)	Prec@5 86.719 (81.084)
Epoch: [67][12980/14090]	Time 0.850 (0.765)	Data 0.001 (0.001)	Loss 1.8890 (1.8627)	Prec@1 53.125 (51.402)	Prec@5 82.031 (81.085)
Epoch: [67][12990/14090]	Time 0.767 (0.765)	Data 0.001 (0.001)	Loss 2.1405 (1.8627)	Prec@1 44.531 (51.401)	Prec@5 75.781 (81.083)
Epoch: [67][13000/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 1.8510 (1.8627)	Prec@1 50.781 (51.402)	Prec@5 78.906 (81.082)
Epoch: [67][13010/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 1.9090 (1.8628)	Prec@1 50.781 (51.402)	Prec@5 82.031 (81.081)
Epoch: [67][13020/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.1435 (1.8628)	Prec@1 46.094 (51.402)	Prec@5 73.438 (81.080)
Epoch: [67][13030/14090]	Time 0.762 (0.765)	Data 0.001 (0.001)	Loss 1.9328 (1.8628)	Prec@1 50.000 (51.402)	Prec@5 76.562 (81.081)
Epoch: [67][13040/14090]	Time 0.738 (0.765)	Data 0.001 (0.001)	Loss 1.9310 (1.8628)	Prec@1 51.562 (51.402)	Prec@5 81.250 (81.081)
Epoch: [67][13050/14090]	Time 1.031 (0.765)	Data 0.001 (0.001)	Loss 1.8200 (1.8628)	Prec@1 52.344 (51.403)	Prec@5 80.469 (81.081)
Epoch: [67][13060/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.2579 (1.8628)	Prec@1 42.969 (51.403)	Prec@5 76.562 (81.080)
Epoch: [67][13070/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 1.9653 (1.8628)	Prec@1 50.000 (51.401)	Prec@5 77.344 (81.080)
Epoch: [67][13080/14090]	Time 0.721 (0.765)	Data 0.001 (0.001)	Loss 1.9382 (1.8628)	Prec@1 48.438 (51.402)	Prec@5 81.250 (81.081)
Epoch: [67][13090/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 1.9995 (1.8628)	Prec@1 50.781 (51.403)	Prec@5 78.125 (81.079)
Epoch: [67][13100/14090]	Time 0.752 (0.765)	Data 0.001 (0.001)	Loss 1.3908 (1.8628)	Prec@1 58.594 (51.402)	Prec@5 86.719 (81.080)
Epoch: [67][13110/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 1.7977 (1.8628)	Prec@1 54.688 (51.402)	Prec@5 84.375 (81.080)
Epoch: [67][13120/14090]	Time 0.989 (0.765)	Data 0.001 (0.001)	Loss 1.8135 (1.8628)	Prec@1 58.594 (51.404)	Prec@5 78.906 (81.080)
Epoch: [67][13130/14090]	Time 0.724 (0.765)	Data 0.001 (0.001)	Loss 1.7562 (1.8628)	Prec@1 53.125 (51.404)	Prec@5 84.375 (81.081)
Epoch: [67][13140/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 1.9062 (1.8628)	Prec@1 50.781 (51.404)	Prec@5 82.031 (81.080)
Epoch: [67][13150/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 1.7492 (1.8628)	Prec@1 54.688 (51.403)	Prec@5 83.594 (81.081)
Epoch: [67][13160/14090]	Time 0.773 (0.765)	Data 0.001 (0.001)	Loss 2.0229 (1.8628)	Prec@1 50.781 (51.401)	Prec@5 79.688 (81.081)
Epoch: [67][13170/14090]	Time 0.748 (0.765)	Data 0.001 (0.001)	Loss 1.6318 (1.8628)	Prec@1 58.594 (51.402)	Prec@5 85.156 (81.081)
Epoch: [67][13180/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 1.9277 (1.8628)	Prec@1 54.688 (51.402)	Prec@5 80.469 (81.082)
Epoch: [67][13190/14090]	Time 0.867 (0.765)	Data 0.001 (0.001)	Loss 1.8634 (1.8628)	Prec@1 48.438 (51.402)	Prec@5 80.469 (81.082)
Epoch: [67][13200/14090]	Time 0.737 (0.765)	Data 0.001 (0.001)	Loss 1.9956 (1.8628)	Prec@1 47.656 (51.401)	Prec@5 79.688 (81.082)
Epoch: [67][13210/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 1.8061 (1.8628)	Prec@1 53.906 (51.401)	Prec@5 82.812 (81.082)
Epoch: [67][13220/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 1.9594 (1.8628)	Prec@1 51.562 (51.401)	Prec@5 79.688 (81.083)
Epoch: [67][13230/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 2.0727 (1.8628)	Prec@1 42.969 (51.402)	Prec@5 82.812 (81.082)
Epoch: [67][13240/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 1.9727 (1.8628)	Prec@1 52.344 (51.402)	Prec@5 78.125 (81.081)
Epoch: [67][13250/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.1280 (1.8628)	Prec@1 42.969 (51.400)	Prec@5 74.219 (81.078)
Epoch: [67][13260/14090]	Time 0.865 (0.765)	Data 0.001 (0.001)	Loss 2.0361 (1.8629)	Prec@1 49.219 (51.398)	Prec@5 77.344 (81.077)
Epoch: [67][13270/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 2.0515 (1.8629)	Prec@1 50.000 (51.397)	Prec@5 77.344 (81.076)
Epoch: [67][13280/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 1.5940 (1.8629)	Prec@1 62.500 (51.398)	Prec@5 83.594 (81.077)
Epoch: [67][13290/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 1.8269 (1.8629)	Prec@1 53.906 (51.399)	Prec@5 78.906 (81.077)
Epoch: [67][13300/14090]	Time 0.751 (0.765)	Data 0.001 (0.001)	Loss 1.8677 (1.8630)	Prec@1 50.000 (51.397)	Prec@5 80.469 (81.076)
Epoch: [67][13310/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 1.7256 (1.8630)	Prec@1 53.125 (51.397)	Prec@5 81.250 (81.075)
Epoch: [67][13320/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 1.7906 (1.8629)	Prec@1 53.906 (51.399)	Prec@5 85.156 (81.075)
Epoch: [67][13330/14090]	Time 0.893 (0.765)	Data 0.001 (0.001)	Loss 1.8968 (1.8629)	Prec@1 53.125 (51.400)	Prec@5 79.688 (81.075)
Epoch: [67][13340/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.0020 (1.8629)	Prec@1 49.219 (51.400)	Prec@5 79.688 (81.075)
Epoch: [67][13350/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 1.7438 (1.8629)	Prec@1 48.438 (51.399)	Prec@5 82.031 (81.074)
Epoch: [67][13360/14090]	Time 0.767 (0.765)	Data 0.001 (0.001)	Loss 1.7485 (1.8629)	Prec@1 50.000 (51.398)	Prec@5 83.594 (81.075)
Epoch: [67][13370/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 2.4053 (1.8630)	Prec@1 46.094 (51.398)	Prec@5 67.969 (81.073)
Epoch: [67][13380/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 1.8873 (1.8631)	Prec@1 50.781 (51.397)	Prec@5 78.125 (81.072)
Epoch: [67][13390/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 1.9033 (1.8631)	Prec@1 47.656 (51.397)	Prec@5 82.031 (81.071)
Epoch: [67][13400/14090]	Time 0.907 (0.765)	Data 0.001 (0.001)	Loss 2.0988 (1.8631)	Prec@1 47.656 (51.396)	Prec@5 78.125 (81.071)
Epoch: [67][13410/14090]	Time 0.736 (0.765)	Data 0.001 (0.001)	Loss 1.4577 (1.8630)	Prec@1 67.188 (51.397)	Prec@5 84.375 (81.071)
Epoch: [67][13420/14090]	Time 0.746 (0.765)	Data 0.001 (0.001)	Loss 1.7328 (1.8630)	Prec@1 57.031 (51.398)	Prec@5 81.250 (81.071)
Epoch: [67][13430/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 1.6816 (1.8631)	Prec@1 52.344 (51.398)	Prec@5 86.719 (81.070)
Epoch: [67][13440/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.0712 (1.8631)	Prec@1 44.531 (51.396)	Prec@5 77.344 (81.068)
Epoch: [67][13450/14090]	Time 0.720 (0.765)	Data 0.001 (0.001)	Loss 1.5660 (1.8631)	Prec@1 63.281 (51.397)	Prec@5 82.031 (81.069)
Epoch: [67][13460/14090]	Time 0.758 (0.765)	Data 0.001 (0.001)	Loss 1.9404 (1.8631)	Prec@1 53.125 (51.398)	Prec@5 76.562 (81.068)
Epoch: [67][13470/14090]	Time 0.853 (0.765)	Data 0.001 (0.001)	Loss 1.6361 (1.8630)	Prec@1 58.594 (51.400)	Prec@5 82.812 (81.068)
Epoch: [67][13480/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 1.9043 (1.8630)	Prec@1 50.781 (51.400)	Prec@5 81.250 (81.068)
Epoch: [67][13490/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 2.0177 (1.8630)	Prec@1 49.219 (51.399)	Prec@5 78.906 (81.068)
Epoch: [67][13500/14090]	Time 0.776 (0.765)	Data 0.001 (0.001)	Loss 1.7622 (1.8631)	Prec@1 52.344 (51.399)	Prec@5 83.594 (81.067)
Epoch: [67][13510/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 1.6890 (1.8631)	Prec@1 53.125 (51.398)	Prec@5 84.375 (81.068)
Epoch: [67][13520/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 1.9620 (1.8630)	Prec@1 46.094 (51.400)	Prec@5 77.344 (81.069)
Epoch: [67][13530/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.2182 (1.8631)	Prec@1 42.969 (51.399)	Prec@5 75.000 (81.068)
Epoch: [67][13540/14090]	Time 0.836 (0.765)	Data 0.001 (0.001)	Loss 1.9771 (1.8631)	Prec@1 50.000 (51.398)	Prec@5 76.562 (81.068)
Epoch: [67][13550/14090]	Time 0.727 (0.765)	Data 0.001 (0.001)	Loss 1.7630 (1.8631)	Prec@1 54.688 (51.399)	Prec@5 83.594 (81.067)
Epoch: [67][13560/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 1.7367 (1.8632)	Prec@1 53.125 (51.398)	Prec@5 83.594 (81.066)
Epoch: [67][13570/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 2.1255 (1.8632)	Prec@1 48.438 (51.398)	Prec@5 76.562 (81.067)
Epoch: [67][13580/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 1.9099 (1.8632)	Prec@1 51.562 (51.399)	Prec@5 78.906 (81.067)
Epoch: [67][13590/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 1.9742 (1.8632)	Prec@1 52.344 (51.398)	Prec@5 77.344 (81.066)
Epoch: [67][13600/14090]	Time 0.742 (0.765)	Data 0.001 (0.001)	Loss 1.7268 (1.8633)	Prec@1 53.906 (51.397)	Prec@5 78.906 (81.063)
Epoch: [67][13610/14090]	Time 0.886 (0.765)	Data 0.001 (0.001)	Loss 1.8001 (1.8633)	Prec@1 49.219 (51.396)	Prec@5 80.469 (81.064)
Epoch: [67][13620/14090]	Time 0.780 (0.765)	Data 0.001 (0.001)	Loss 1.8253 (1.8634)	Prec@1 51.562 (51.394)	Prec@5 87.500 (81.064)
Epoch: [67][13630/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 1.9835 (1.8633)	Prec@1 47.656 (51.395)	Prec@5 79.688 (81.064)
Epoch: [67][13640/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 2.0778 (1.8634)	Prec@1 52.344 (51.395)	Prec@5 75.781 (81.063)
Epoch: [67][13650/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 1.8725 (1.8634)	Prec@1 49.219 (51.395)	Prec@5 83.594 (81.063)
Epoch: [67][13660/14090]	Time 0.735 (0.765)	Data 0.001 (0.001)	Loss 1.9535 (1.8634)	Prec@1 51.562 (51.394)	Prec@5 80.469 (81.062)
Epoch: [67][13670/14090]	Time 0.730 (0.765)	Data 0.001 (0.001)	Loss 1.7263 (1.8635)	Prec@1 56.250 (51.394)	Prec@5 83.594 (81.061)
Epoch: [67][13680/14090]	Time 0.905 (0.765)	Data 0.001 (0.001)	Loss 1.8541 (1.8635)	Prec@1 50.000 (51.393)	Prec@5 79.688 (81.061)
Epoch: [67][13690/14090]	Time 0.773 (0.765)	Data 0.001 (0.001)	Loss 2.2563 (1.8636)	Prec@1 42.188 (51.392)	Prec@5 75.000 (81.059)
Epoch: [67][13700/14090]	Time 0.743 (0.765)	Data 0.001 (0.001)	Loss 1.8007 (1.8636)	Prec@1 57.812 (51.392)	Prec@5 79.688 (81.058)
Epoch: [67][13710/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 1.9838 (1.8636)	Prec@1 53.125 (51.393)	Prec@5 78.906 (81.058)
Epoch: [67][13720/14090]	Time 0.766 (0.765)	Data 0.001 (0.001)	Loss 1.8821 (1.8637)	Prec@1 54.688 (51.391)	Prec@5 79.688 (81.056)
Epoch: [67][13730/14090]	Time 0.739 (0.765)	Data 0.002 (0.001)	Loss 2.0565 (1.8638)	Prec@1 40.625 (51.388)	Prec@5 79.688 (81.055)
Epoch: [67][13740/14090]	Time 0.756 (0.765)	Data 0.001 (0.001)	Loss 1.9505 (1.8638)	Prec@1 54.688 (51.388)	Prec@5 75.781 (81.055)
Epoch: [67][13750/14090]	Time 0.875 (0.765)	Data 0.001 (0.001)	Loss 1.7775 (1.8638)	Prec@1 51.562 (51.389)	Prec@5 84.375 (81.056)
Epoch: [67][13760/14090]	Time 0.723 (0.765)	Data 0.001 (0.001)	Loss 2.0416 (1.8638)	Prec@1 53.906 (51.389)	Prec@5 75.781 (81.054)
Epoch: [67][13770/14090]	Time 0.731 (0.765)	Data 0.001 (0.001)	Loss 2.0616 (1.8639)	Prec@1 46.875 (51.387)	Prec@5 75.781 (81.053)
Epoch: [67][13780/14090]	Time 0.781 (0.765)	Data 0.001 (0.001)	Loss 2.1340 (1.8639)	Prec@1 50.781 (51.388)	Prec@5 75.781 (81.053)
Epoch: [67][13790/14090]	Time 0.733 (0.765)	Data 0.001 (0.001)	Loss 1.8292 (1.8639)	Prec@1 49.219 (51.387)	Prec@5 83.594 (81.053)
Epoch: [67][13800/14090]	Time 0.765 (0.765)	Data 0.001 (0.001)	Loss 1.7734 (1.8639)	Prec@1 50.781 (51.388)	Prec@5 84.375 (81.053)
Epoch: [67][13810/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 1.9741 (1.8639)	Prec@1 48.438 (51.386)	Prec@5 78.906 (81.053)
Epoch: [67][13820/14090]	Time 0.867 (0.765)	Data 0.001 (0.001)	Loss 2.0484 (1.8639)	Prec@1 55.469 (51.387)	Prec@5 76.562 (81.053)
Epoch: [67][13830/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 1.9503 (1.8639)	Prec@1 44.531 (51.386)	Prec@5 81.250 (81.053)
Epoch: [67][13840/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 2.0869 (1.8639)	Prec@1 42.188 (51.385)	Prec@5 78.125 (81.052)
Epoch: [67][13850/14090]	Time 0.740 (0.765)	Data 0.001 (0.001)	Loss 1.9074 (1.8640)	Prec@1 49.219 (51.384)	Prec@5 78.906 (81.052)
Epoch: [67][13860/14090]	Time 0.729 (0.765)	Data 0.001 (0.001)	Loss 1.9387 (1.8640)	Prec@1 44.531 (51.384)	Prec@5 81.250 (81.053)
Epoch: [67][13870/14090]	Time 0.749 (0.765)	Data 0.001 (0.001)	Loss 2.3000 (1.8641)	Prec@1 42.188 (51.381)	Prec@5 76.562 (81.052)
Epoch: [67][13880/14090]	Time 0.754 (0.765)	Data 0.001 (0.001)	Loss 1.9053 (1.8640)	Prec@1 50.000 (51.381)	Prec@5 82.812 (81.052)
Epoch: [67][13890/14090]	Time 0.899 (0.765)	Data 0.001 (0.001)	Loss 1.7664 (1.8640)	Prec@1 57.031 (51.382)	Prec@5 82.812 (81.052)
Epoch: [67][13900/14090]	Time 0.753 (0.765)	Data 0.001 (0.001)	Loss 2.1525 (1.8640)	Prec@1 46.094 (51.380)	Prec@5 75.781 (81.051)
Epoch: [67][13910/14090]	Time 0.766 (0.765)	Data 0.001 (0.001)	Loss 2.3132 (1.8641)	Prec@1 42.969 (51.380)	Prec@5 77.344 (81.051)
Epoch: [67][13920/14090]	Time 0.755 (0.765)	Data 0.001 (0.001)	Loss 2.0424 (1.8641)	Prec@1 52.344 (51.380)	Prec@5 76.562 (81.050)
Epoch: [67][13930/14090]	Time 0.757 (0.765)	Data 0.001 (0.001)	Loss 1.5861 (1.8640)	Prec@1 53.125 (51.381)	Prec@5 85.156 (81.051)
Epoch: [67][13940/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 1.8944 (1.8640)	Prec@1 51.562 (51.382)	Prec@5 79.688 (81.052)
Epoch: [67][13950/14090]	Time 0.773 (0.765)	Data 0.001 (0.001)	Loss 1.9389 (1.8640)	Prec@1 54.688 (51.383)	Prec@5 75.781 (81.052)
Epoch: [67][13960/14090]	Time 0.880 (0.765)	Data 0.001 (0.001)	Loss 1.8749 (1.8641)	Prec@1 55.469 (51.381)	Prec@5 79.688 (81.050)
Epoch: [67][13970/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 1.8417 (1.8640)	Prec@1 50.000 (51.383)	Prec@5 80.469 (81.052)
Epoch: [67][13980/14090]	Time 0.722 (0.765)	Data 0.001 (0.001)	Loss 1.7689 (1.8640)	Prec@1 54.688 (51.382)	Prec@5 82.031 (81.052)
Epoch: [67][13990/14090]	Time 0.772 (0.765)	Data 0.001 (0.001)	Loss 1.6221 (1.8640)	Prec@1 57.031 (51.382)	Prec@5 83.594 (81.052)
Epoch: [67][14000/14090]	Time 0.780 (0.765)	Data 0.001 (0.001)	Loss 2.0786 (1.8640)	Prec@1 49.219 (51.382)	Prec@5 81.250 (81.051)
Epoch: [67][14010/14090]	Time 0.726 (0.765)	Data 0.001 (0.001)	Loss 2.1645 (1.8641)	Prec@1 49.219 (51.381)	Prec@5 71.094 (81.050)
Epoch: [67][14020/14090]	Time 0.744 (0.765)	Data 0.001 (0.001)	Loss 1.6877 (1.8641)	Prec@1 55.469 (51.380)	Prec@5 87.500 (81.049)
Epoch: [67][14030/14090]	Time 0.915 (0.765)	Data 0.001 (0.001)	Loss 1.7571 (1.8641)	Prec@1 54.688 (51.380)	Prec@5 83.594 (81.049)
Epoch: [67][14040/14090]	Time 0.734 (0.765)	Data 0.001 (0.001)	Loss 1.7326 (1.8640)	Prec@1 50.781 (51.379)	Prec@5 85.156 (81.050)
Epoch: [67][14050/14090]	Time 0.750 (0.765)	Data 0.001 (0.001)	Loss 2.0248 (1.8640)	Prec@1 50.000 (51.381)	Prec@5 78.906 (81.051)
Epoch: [67][14060/14090]	Time 0.725 (0.765)	Data 0.001 (0.001)	Loss 1.6426 (1.8640)	Prec@1 59.375 (51.382)	Prec@5 82.812 (81.051)
Epoch: [67][14070/14090]	Time 0.741 (0.765)	Data 0.001 (0.001)	Loss 2.0903 (1.8640)	Prec@1 44.531 (51.382)	Prec@5 78.125 (81.052)
Epoch: [67][14080/14090]	Time 0.753 (0.765)	Data 0.000 (0.001)	Loss 1.9088 (1.8640)	Prec@1 48.438 (51.381)	Prec@5 78.906 (81.051)
Test: [0/286]	Time 5.269 (5.269)	Loss 1.3015 (1.3015)	Prec@1 57.031 (57.031)	Prec@5 95.312 (95.312)
Test: [10/286]	Time 0.410 (0.906)	Loss 1.7825 (1.7478)	Prec@1 51.562 (54.190)	Prec@5 88.281 (84.872)
Test: [20/286]	Time 0.313 (0.683)	Loss 1.3656 (1.6734)	Prec@1 62.500 (55.208)	Prec@5 92.969 (86.161)
Test: [30/286]	Time 0.229 (0.612)	Loss 1.8129 (1.6101)	Prec@1 55.469 (57.560)	Prec@5 82.031 (86.542)
Test: [40/286]	Time 2.157 (0.624)	Loss 1.7187 (1.6307)	Prec@1 50.000 (56.822)	Prec@5 87.500 (86.547)
Test: [50/286]	Time 0.236 (0.594)	Loss 0.4379 (1.6224)	Prec@1 92.188 (56.710)	Prec@5 95.312 (86.627)
Test: [60/286]	Time 0.233 (0.570)	Loss 2.5702 (1.6502)	Prec@1 32.812 (56.019)	Prec@5 71.875 (85.720)
Test: [70/286]	Time 0.283 (0.556)	Loss 1.1319 (1.6358)	Prec@1 73.438 (56.151)	Prec@5 92.188 (85.860)
Test: [80/286]	Time 2.252 (0.568)	Loss 1.7293 (1.6703)	Prec@1 47.656 (55.054)	Prec@5 87.500 (85.581)
Test: [90/286]	Time 0.238 (0.557)	Loss 1.7924 (1.6843)	Prec@1 51.562 (54.894)	Prec@5 86.719 (85.379)
Test: [100/286]	Time 0.233 (0.548)	Loss 2.1587 (1.6953)	Prec@1 32.031 (54.316)	Prec@5 82.812 (85.280)
Test: [110/286]	Time 0.237 (0.540)	Loss 2.1419 (1.7144)	Prec@1 44.531 (53.927)	Prec@5 76.562 (85.100)
Test: [120/286]	Time 1.734 (0.548)	Loss 1.4473 (1.7015)	Prec@1 65.625 (54.410)	Prec@5 82.031 (85.208)
Test: [130/286]	Time 0.850 (0.546)	Loss 0.8881 (1.6901)	Prec@1 73.438 (54.741)	Prec@5 96.875 (85.335)
Test: [140/286]	Time 0.236 (0.541)	Loss 2.1751 (1.6822)	Prec@1 52.344 (54.948)	Prec@5 75.000 (85.328)
Test: [150/286]	Time 0.239 (0.535)	Loss 2.6814 (1.6920)	Prec@1 25.781 (54.532)	Prec@5 77.344 (85.306)
Test: [160/286]	Time 1.432 (0.539)	Loss 2.5361 (1.6863)	Prec@1 26.562 (54.697)	Prec@5 75.000 (85.394)
Test: [170/286]	Time 0.941 (0.539)	Loss 1.8866 (1.6796)	Prec@1 50.781 (54.815)	Prec@5 82.812 (85.462)
Test: [180/286]	Time 0.233 (0.535)	Loss 1.8300 (1.6920)	Prec@1 57.812 (54.554)	Prec@5 80.469 (85.247)
Test: [190/286]	Time 0.284 (0.531)	Loss 2.9634 (1.7128)	Prec@1 19.531 (54.017)	Prec@5 71.875 (85.083)
Test: [200/286]	Time 1.165 (0.533)	Loss 1.7251 (1.7077)	Prec@1 62.500 (54.221)	Prec@5 86.719 (85.086)
Test: [210/286]	Time 0.607 (0.534)	Loss 1.8941 (1.7122)	Prec@1 51.562 (54.051)	Prec@5 83.594 (85.049)
Test: [220/286]	Time 0.325 (0.532)	Loss 2.5711 (1.7187)	Prec@1 25.000 (53.959)	Prec@5 72.656 (84.884)
Test: [230/286]	Time 0.286 (0.529)	Loss 1.1902 (1.7184)	Prec@1 64.844 (54.035)	Prec@5 89.844 (84.842)
Test: [240/286]	Time 1.002 (0.529)	Loss 1.8619 (1.7149)	Prec@1 50.781 (54.169)	Prec@5 84.375 (84.907)
Test: [250/286]	Time 0.238 (0.533)	Loss 1.7078 (1.7045)	Prec@1 54.688 (54.326)	Prec@5 84.375 (85.103)
Test: [260/286]	Time 0.230 (0.530)	Loss 1.5301 (1.6948)	Prec@1 57.812 (54.619)	Prec@5 87.500 (85.237)
Test: [270/286]	Time 0.284 (0.528)	Loss 1.2410 (1.6971)	Prec@1 65.625 (54.613)	Prec@5 90.625 (85.205)
Test: [280/286]	Time 0.457 (0.527)	Loss 1.8065 (1.6833)	Prec@1 55.469 (55.102)	Prec@5 89.844 (85.337)
 * Prec@1 55.219 Prec@5 85.333
Epoch: [68][0/14090]	Time 6.883 (6.883)	Data 6.026 (6.026)	Loss 1.7118 (1.7118)	Prec@1 53.906 (53.906)	Prec@5 81.250 (81.250)
Epoch: [68][10/14090]	Time 0.728 (1.292)	Data 0.001 (0.549)	Loss 1.7273 (1.7157)	Prec@1 46.875 (53.551)	Prec@5 82.031 (83.026)
Epoch: [68][20/14090]	Time 0.750 (1.031)	Data 0.001 (0.288)	Loss 1.8839 (1.8004)	Prec@1 48.438 (51.674)	Prec@5 82.031 (81.957)
Epoch: [68][30/14090]	Time 0.721 (0.941)	Data 0.001 (0.195)	Loss 1.8435 (1.8196)	Prec@1 53.125 (51.865)	Prec@5 80.469 (81.502)
Epoch: [68][40/14090]	Time 0.752 (0.893)	Data 0.001 (0.148)	Loss 1.6904 (1.8279)	Prec@1 52.344 (52.153)	Prec@5 83.594 (81.460)
Epoch: [68][50/14090]	Time 0.748 (0.866)	Data 0.001 (0.119)	Loss 1.9951 (1.8292)	Prec@1 46.875 (51.854)	Prec@5 79.688 (81.648)
Epoch: [68][60/14090]	Time 0.725 (0.847)	Data 0.001 (0.100)	Loss 1.9518 (1.8376)	Prec@1 50.781 (51.947)	Prec@5 79.688 (81.506)
Epoch: [68][70/14090]	Time 0.852 (0.834)	Data 0.001 (0.086)	Loss 1.6253 (1.8341)	Prec@1 53.125 (51.970)	Prec@5 85.938 (81.481)
Epoch: [68][80/14090]	Time 0.743 (0.825)	Data 0.001 (0.075)	Loss 1.7813 (1.8287)	Prec@1 56.250 (52.180)	Prec@5 82.031 (81.597)
Epoch: [68][90/14090]	Time 0.726 (0.816)	Data 0.001 (0.067)	Loss 1.8893 (1.8303)	Prec@1 50.781 (52.112)	Prec@5 83.594 (81.525)
Epoch: [68][100/14090]	Time 0.725 (0.811)	Data 0.001 (0.060)	Loss 1.7689 (1.8336)	Prec@1 52.344 (52.042)	Prec@5 84.375 (81.559)
Epoch: [68][110/14090]	Time 0.777 (0.806)	Data 0.001 (0.055)	Loss 1.7623 (1.8341)	Prec@1 56.250 (51.914)	Prec@5 79.688 (81.532)
Epoch: [68][120/14090]	Time 0.750 (0.803)	Data 0.001 (0.051)	Loss 1.9191 (1.8342)	Prec@1 45.312 (51.853)	Prec@5 82.031 (81.566)
Epoch: [68][130/14090]	Time 0.733 (0.799)	Data 0.001 (0.047)	Loss 1.9624 (1.8401)	Prec@1 54.688 (51.831)	Prec@5 78.125 (81.578)
Epoch: [68][140/14090]	Time 0.843 (0.796)	Data 0.001 (0.044)	Loss 1.7980 (1.8365)	Prec@1 47.656 (51.912)	Prec@5 83.594 (81.582)
Epoch: [68][150/14090]	Time 0.733 (0.793)	Data 0.001 (0.041)	Loss 2.2155 (1.8351)	Prec@1 44.531 (51.919)	Prec@5 74.219 (81.612)
Epoch: [68][160/14090]	Time 0.729 (0.791)	Data 0.001 (0.038)	Loss 1.6765 (1.8335)	Prec@1 54.688 (51.863)	Prec@5 85.156 (81.672)
Epoch: [68][170/14090]	Time 0.727 (0.789)	Data 0.001 (0.036)	Loss 1.5006 (1.8347)	Prec@1 60.156 (51.818)	Prec@5 85.156 (81.716)
Epoch: [68][180/14090]	Time 0.727 (0.788)	Data 0.001 (0.034)	Loss 1.6554 (1.8328)	Prec@1 56.250 (51.882)	Prec@5 86.719 (81.746)
Epoch: [68][190/14090]	Time 0.740 (0.787)	Data 0.001 (0.032)	Loss 1.6333 (1.8316)	Prec@1 59.375 (51.902)	Prec@5 84.375 (81.741)
Epoch: [68][200/14090]	Time 0.738 (0.785)	Data 0.001 (0.031)	Loss 1.8250 (1.8322)	Prec@1 48.438 (51.881)	Prec@5 83.594 (81.728)
Epoch: [68][210/14090]	Time 0.891 (0.784)	Data 0.001 (0.029)	Loss 1.8628 (1.8297)	Prec@1 53.125 (51.955)	Prec@5 78.906 (81.765)
Epoch: [68][220/14090]	Time 0.731 (0.783)	Data 0.001 (0.028)	Loss 1.8110 (1.8270)	Prec@1 46.875 (51.997)	Prec@5 81.250 (81.812)
Epoch: [68][230/14090]	Time 0.751 (0.782)	Data 0.001 (0.027)	Loss 1.7134 (1.8281)	Prec@1 52.344 (51.955)	Prec@5 83.594 (81.801)
Epoch: [68][240/14090]	Time 0.742 (0.781)	Data 0.001 (0.026)	Loss 1.5703 (1.8285)	Prec@1 55.469 (51.997)	Prec@5 85.938 (81.814)
Epoch: [68][250/14090]	Time 0.718 (0.780)	Data 0.001 (0.025)	Loss 2.0066 (1.8281)	Prec@1 53.125 (52.045)	Prec@5 75.781 (81.798)
Epoch: [68][260/14090]	Time 0.752 (0.780)	Data 0.001 (0.024)	Loss 2.0053 (1.8309)	Prec@1 44.531 (52.009)	Prec@5 80.469 (81.744)
Epoch: [68][270/14090]	Time 0.777 (0.779)	Data 0.001 (0.023)	Loss 1.9447 (1.8358)	Prec@1 50.000 (51.911)	Prec@5 77.344 (81.665)
Epoch: [68][280/14090]	Time 0.847 (0.779)	Data 0.001 (0.022)	Loss 1.7225 (1.8323)	Prec@1 58.594 (51.988)	Prec@5 82.031 (81.734)
Epoch: [68][290/14090]	Time 0.750 (0.778)	Data 0.001 (0.021)	Loss 1.7647 (1.8324)	Prec@1 53.906 (51.963)	Prec@5 85.938 (81.747)
Epoch: [68][300/14090]	Time 0.769 (0.778)	Data 0.001 (0.021)	Loss 1.5150 (1.8315)	Prec@1 60.156 (51.991)	Prec@5 85.156 (81.754)
Epoch: [68][310/14090]	Time 0.751 (0.777)	Data 0.001 (0.020)	Loss 1.8365 (1.8311)	Prec@1 51.562 (51.974)	Prec@5 81.250 (81.735)
Epoch: [68][320/14090]	Time 0.766 (0.777)	Data 0.001 (0.020)	Loss 2.0642 (1.8340)	Prec@1 51.562 (51.903)	Prec@5 79.688 (81.676)
Epoch: [68][330/14090]	Time 0.722 (0.776)	Data 0.001 (0.019)	Loss 1.9769 (1.8369)	Prec@1 49.219 (51.858)	Prec@5 81.250 (81.623)
Epoch: [68][340/14090]	Time 0.780 (0.776)	Data 0.001 (0.018)	Loss 1.8769 (1.8372)	Prec@1 53.125 (51.881)	Prec@5 78.906 (81.580)
Epoch: [68][350/14090]	Time 0.887 (0.776)	Data 0.001 (0.018)	Loss 1.8614 (1.8368)	Prec@1 50.781 (51.867)	Prec@5 79.688 (81.577)
Epoch: [68][360/14090]	Time 0.724 (0.775)	Data 0.001 (0.017)	Loss 1.7670 (1.8403)	Prec@1 55.469 (51.805)	Prec@5 82.812 (81.521)
Epoch: [68][370/14090]	Time 0.777 (0.775)	Data 0.001 (0.017)	Loss 1.7601 (1.8407)	Prec@1 51.562 (51.784)	Prec@5 84.375 (81.505)
Epoch: [68][380/14090]	Time 0.741 (0.775)	Data 0.001 (0.017)	Loss 1.6142 (1.8396)	Prec@1 54.688 (51.782)	Prec@5 85.156 (81.529)
Epoch: [68][390/14090]	Time 0.747 (0.774)	Data 0.001 (0.016)	Loss 1.8375 (1.8387)	Prec@1 50.000 (51.780)	Prec@5 80.469 (81.536)
Epoch: [68][400/14090]	Time 0.728 (0.774)	Data 0.001 (0.016)	Loss 2.3303 (1.8412)	Prec@1 41.406 (51.726)	Prec@5 75.781 (81.507)
Epoch: [68][410/14090]	Time 0.730 (0.774)	Data 0.001 (0.015)	Loss 1.9763 (1.8416)	Prec@1 46.094 (51.671)	Prec@5 81.250 (81.476)
Epoch: [68][420/14090]	Time 0.871 (0.774)	Data 0.001 (0.015)	Loss 2.0873 (1.8430)	Prec@1 47.656 (51.626)	Prec@5 76.562 (81.476)
Epoch: [68][430/14090]	Time 0.732 (0.774)	Data 0.001 (0.015)	Loss 2.1162 (1.8423)	Prec@1 48.438 (51.644)	Prec@5 75.781 (81.482)
Epoch: [68][440/14090]	Time 0.770 (0.773)	Data 0.001 (0.014)	Loss 1.8142 (1.8418)	Prec@1 54.688 (51.663)	Prec@5 80.469 (81.475)
Epoch: [68][450/14090]	Time 0.723 (0.773)	Data 0.001 (0.014)	Loss 2.1393 (1.8427)	Prec@1 43.750 (51.628)	Prec@5 75.781 (81.473)
Epoch: [68][460/14090]	Time 0.730 (0.773)	Data 0.001 (0.014)	Loss 1.8032 (1.8433)	Prec@1 51.562 (51.644)	Prec@5 83.594 (81.472)
Epoch: [68][470/14090]	Time 0.741 (0.773)	Data 0.002 (0.014)	Loss 1.9298 (1.8436)	Prec@1 46.875 (51.654)	Prec@5 78.906 (81.452)
Epoch: [68][480/14090]	Time 0.730 (0.772)	Data 0.001 (0.013)	Loss 1.8634 (1.8441)	Prec@1 50.781 (51.632)	Prec@5 83.594 (81.443)
Epoch: [68][490/14090]	Time 0.879 (0.772)	Data 0.001 (0.013)	Loss 1.8530 (1.8450)	Prec@1 54.688 (51.593)	Prec@5 78.906 (81.443)
Epoch: [68][500/14090]	Time 0.740 (0.772)	Data 0.001 (0.013)	Loss 1.9761 (1.8452)	Prec@1 50.781 (51.609)	Prec@5 77.344 (81.442)
Epoch: [68][510/14090]	Time 0.740 (0.771)	Data 0.001 (0.013)	Loss 2.0843 (1.8479)	Prec@1 52.344 (51.547)	Prec@5 75.781 (81.406)
Epoch: [68][520/14090]	Time 0.759 (0.772)	Data 0.001 (0.012)	Loss 1.8213 (1.8479)	Prec@1 48.438 (51.528)	Prec@5 75.781 (81.392)
Epoch: [68][530/14090]	Time 0.760 (0.771)	Data 0.001 (0.012)	Loss 1.8762 (1.8487)	Prec@1 53.906 (51.523)	Prec@5 81.250 (81.393)
Epoch: [68][540/14090]	Time 0.730 (0.771)	Data 0.001 (0.012)	Loss 1.8814 (1.8491)	Prec@1 54.688 (51.511)	Prec@5 80.469 (81.392)
Epoch: [68][550/14090]	Time 0.752 (0.771)	Data 0.001 (0.012)	Loss 1.8553 (1.8486)	Prec@1 50.781 (51.531)	Prec@5 82.031 (81.380)
Epoch: [68][560/14090]	Time 0.869 (0.771)	Data 0.001 (0.012)	Loss 1.9812 (1.8496)	Prec@1 48.438 (51.512)	Prec@5 75.000 (81.345)
Epoch: [68][570/14090]	Time 0.737 (0.771)	Data 0.001 (0.011)	Loss 1.7584 (1.8499)	Prec@1 55.469 (51.509)	Prec@5 80.469 (81.332)
Epoch: [68][580/14090]	Time 0.743 (0.771)	Data 0.001 (0.011)	Loss 1.9304 (1.8500)	Prec@1 50.781 (51.498)	Prec@5 78.906 (81.327)
Epoch: [68][590/14090]	Time 0.745 (0.771)	Data 0.001 (0.011)	Loss 1.8318 (1.8504)	Prec@1 53.125 (51.462)	Prec@5 83.594 (81.329)
Epoch: [68][600/14090]	Time 0.733 (0.770)	Data 0.001 (0.011)	Loss 1.7909 (1.8497)	Prec@1 53.125 (51.486)	Prec@5 84.375 (81.360)
Epoch: [68][610/14090]	Time 0.735 (0.770)	Data 0.001 (0.011)	Loss 1.8512 (1.8498)	Prec@1 53.125 (51.469)	Prec@5 80.469 (81.363)
Epoch: [68][620/14090]	Time 0.762 (0.770)	Data 0.001 (0.010)	Loss 1.9781 (1.8506)	Prec@1 53.125 (51.468)	Prec@5 81.250 (81.359)
Epoch: [68][630/14090]	Time 0.913 (0.770)	Data 0.001 (0.010)	Loss 1.6486 (1.8502)	Prec@1 53.125 (51.478)	Prec@5 85.938 (81.365)
Epoch: [68][640/14090]	Time 0.728 (0.770)	Data 0.001 (0.010)	Loss 1.7441 (1.8510)	Prec@1 54.688 (51.459)	Prec@5 84.375 (81.349)
Epoch: [68][650/14090]	Time 0.732 (0.770)	Data 0.001 (0.010)	Loss 1.8229 (1.8501)	Prec@1 51.562 (51.470)	Prec@5 81.250 (81.387)
Epoch: [68][660/14090]	Time 0.773 (0.770)	Data 0.001 (0.010)	Loss 2.0369 (1.8498)	Prec@1 42.188 (51.484)	Prec@5 77.344 (81.391)
Epoch: [68][670/14090]	Time 0.737 (0.770)	Data 0.001 (0.010)	Loss 2.0306 (1.8496)	Prec@1 52.344 (51.502)	Prec@5 73.438 (81.384)
Epoch: [68][680/14090]	Time 0.736 (0.770)	Data 0.001 (0.010)	Loss 1.8931 (1.8496)	Prec@1 46.094 (51.483)	Prec@5 79.688 (81.389)
Epoch: [68][690/14090]	Time 0.779 (0.769)	Data 0.001 (0.010)	Loss 1.5157 (1.8501)	Prec@1 53.906 (51.458)	Prec@5 87.500 (81.369)
Epoch: [68][700/14090]	Time 0.899 (0.769)	Data 0.003 (0.009)	Loss 1.5519 (1.8511)	Prec@1 55.469 (51.449)	Prec@5 88.281 (81.348)
Epoch: [68][710/14090]	Time 0.721 (0.769)	Data 0.001 (0.009)	Loss 1.9450 (1.8507)	Prec@1 48.438 (51.452)	Prec@5 79.688 (81.346)
Epoch: [68][720/14090]	Time 0.739 (0.769)	Data 0.001 (0.009)	Loss 1.9035 (1.8508)	Prec@1 51.562 (51.456)	Prec@5 80.469 (81.343)
Epoch: [68][730/14090]	Time 0.731 (0.769)	Data 0.001 (0.009)	Loss 1.9139 (1.8518)	Prec@1 44.531 (51.428)	Prec@5 83.594 (81.339)
Epoch: [68][740/14090]	Time 0.736 (0.769)	Data 0.001 (0.009)	Loss 1.8685 (1.8522)	Prec@1 49.219 (51.430)	Prec@5 81.250 (81.326)
Epoch: [68][750/14090]	Time 0.758 (0.769)	Data 0.001 (0.009)	Loss 2.0015 (1.8511)	Prec@1 50.000 (51.480)	Prec@5 76.562 (81.336)
Epoch: [68][760/14090]	Time 0.745 (0.769)	Data 0.001 (0.009)	Loss 2.0001 (1.8521)	Prec@1 45.312 (51.466)	Prec@5 75.000 (81.313)
Epoch: [68][770/14090]	Time 0.853 (0.769)	Data 0.001 (0.009)	Loss 1.7497 (1.8519)	Prec@1 53.906 (51.469)	Prec@5 84.375 (81.324)
Epoch: [68][780/14090]	Time 0.726 (0.769)	Data 0.002 (0.009)	Loss 1.6767 (1.8520)	Prec@1 53.125 (51.454)	Prec@5 82.031 (81.323)
Epoch: [68][790/14090]	Time 0.753 (0.769)	Data 0.001 (0.008)	Loss 1.5729 (1.8513)	Prec@1 56.250 (51.482)	Prec@5 87.500 (81.344)
Epoch: [68][800/14090]	Time 0.743 (0.769)	Data 0.001 (0.008)	Loss 1.9832 (1.8525)	Prec@1 50.000 (51.460)	Prec@5 79.688 (81.322)
Epoch: [68][810/14090]	Time 0.729 (0.768)	Data 0.001 (0.008)	Loss 1.7194 (1.8515)	Prec@1 53.125 (51.472)	Prec@5 83.594 (81.329)
Epoch: [68][820/14090]	Time 0.735 (0.768)	Data 0.001 (0.008)	Loss 1.6037 (1.8517)	Prec@1 58.594 (51.464)	Prec@5 84.375 (81.327)
Epoch: [68][830/14090]	Time 0.727 (0.768)	Data 0.001 (0.008)	Loss 1.8604 (1.8522)	Prec@1 49.219 (51.437)	Prec@5 80.469 (81.319)
Epoch: [68][840/14090]	Time 0.848 (0.768)	Data 0.001 (0.008)	Loss 1.7331 (1.8521)	Prec@1 56.250 (51.441)	Prec@5 81.250 (81.310)
Epoch: [68][850/14090]	Time 0.731 (0.768)	Data 0.001 (0.008)	Loss 2.2551 (1.8535)	Prec@1 40.625 (51.417)	Prec@5 73.438 (81.286)
Epoch: [68][860/14090]	Time 0.729 (0.768)	Data 0.001 (0.008)	Loss 1.7053 (1.8532)	Prec@1 58.594 (51.421)	Prec@5 82.812 (81.280)
Epoch: [68][870/14090]	Time 0.772 (0.768)	Data 0.001 (0.008)	Loss 1.8098 (1.8530)	Prec@1 54.688 (51.441)	Prec@5 84.375 (81.289)
Epoch: [68][880/14090]	Time 0.738 (0.768)	Data 0.001 (0.008)	Loss 1.6327 (1.8540)	Prec@1 48.438 (51.418)	Prec@5 83.594 (81.268)
Epoch: [68][890/14090]	Time 0.757 (0.768)	Data 0.001 (0.008)	Loss 1.7939 (1.8542)	Prec@1 52.344 (51.423)	Prec@5 85.156 (81.269)
Epoch: [68][900/14090]	Time 0.772 (0.768)	Data 0.001 (0.007)	Loss 1.8953 (1.8546)	Prec@1 50.781 (51.415)	Prec@5 82.031 (81.264)
Epoch: [68][910/14090]	Time 0.864 (0.768)	Data 0.001 (0.007)	Loss 1.8571 (1.8545)	Prec@1 51.562 (51.402)	Prec@5 85.156 (81.280)
Epoch: [68][920/14090]	Time 0.735 (0.768)	Data 0.001 (0.007)	Loss 1.8660 (1.8550)	Prec@1 50.781 (51.386)	Prec@5 83.594 (81.288)
Epoch: [68][930/14090]	Time 0.731 (0.768)	Data 0.001 (0.007)	Loss 2.1574 (1.8554)	Prec@1 44.531 (51.356)	Prec@5 74.219 (81.288)
Epoch: [68][940/14090]	Time 0.749 (0.768)	Data 0.001 (0.007)	Loss 1.6276 (1.8550)	Prec@1 54.688 (51.365)	Prec@5 85.156 (81.290)
Epoch: [68][950/14090]	Time 0.752 (0.767)	Data 0.001 (0.007)	Loss 1.9335 (1.8551)	Prec@1 48.438 (51.355)	Prec@5 79.688 (81.289)
Epoch: [68][960/14090]	Time 0.760 (0.767)	Data 0.001 (0.007)	Loss 1.9622 (1.8556)	Prec@1 50.781 (51.341)	Prec@5 82.031 (81.284)
Epoch: [68][970/14090]	Time 0.747 (0.767)	Data 0.001 (0.007)	Loss 1.7264 (1.8550)	Prec@1 54.688 (51.353)	Prec@5 84.375 (81.292)
Epoch: [68][980/14090]	Time 0.863 (0.767)	Data 0.001 (0.007)	Loss 2.1797 (1.8554)	Prec@1 44.531 (51.349)	Prec@5 76.562 (81.298)
Epoch: [68][990/14090]	Time 0.761 (0.767)	Data 0.001 (0.007)	Loss 1.9536 (1.8560)	Prec@1 49.219 (51.350)	Prec@5 78.125 (81.285)
Epoch: [68][1000/14090]	Time 0.732 (0.767)	Data 0.001 (0.007)	Loss 1.8649 (1.8569)	Prec@1 45.312 (51.328)	Prec@5 83.594 (81.280)
Epoch: [68][1010/14090]	Time 0.727 (0.767)	Data 0.001 (0.007)	Loss 2.0133 (1.8569)	Prec@1 44.531 (51.328)	Prec@5 80.469 (81.286)
Epoch: [68][1020/14090]	Time 0.749 (0.767)	Data 0.001 (0.007)	Loss 1.9304 (1.8576)	Prec@1 50.781 (51.317)	Prec@5 78.125 (81.269)
Epoch: [68][1030/14090]	Time 0.745 (0.767)	Data 0.001 (0.007)	Loss 1.4380 (1.8577)	Prec@1 65.625 (51.320)	Prec@5 89.062 (81.258)
Epoch: [68][1040/14090]	Time 0.757 (0.767)	Data 0.001 (0.007)	Loss 1.6466 (1.8567)	Prec@1 55.469 (51.342)	Prec@5 85.156 (81.273)
Epoch: [68][1050/14090]	Time 0.840 (0.767)	Data 0.001 (0.007)	Loss 1.9392 (1.8568)	Prec@1 46.094 (51.345)	Prec@5 78.125 (81.270)
Epoch: [68][1060/14090]	Time 0.737 (0.767)	Data 0.001 (0.006)	Loss 1.7993 (1.8572)	Prec@1 50.781 (51.335)	Prec@5 82.031 (81.263)
Epoch: [68][1070/14090]	Time 0.736 (0.767)	Data 0.001 (0.006)	Loss 1.7555 (1.8566)	Prec@1 54.688 (51.354)	Prec@5 79.688 (81.278)
Epoch: [68][1080/14090]	Time 0.758 (0.767)	Data 0.001 (0.006)	Loss 2.0720 (1.8565)	Prec@1 48.438 (51.349)	Prec@5 78.125 (81.278)
Epoch: [68][1090/14090]	Time 0.746 (0.767)	Data 0.001 (0.006)	Loss 2.0360 (1.8567)	Prec@1 47.656 (51.346)	Prec@5 78.906 (81.282)
Epoch: [68][1100/14090]	Time 0.735 (0.767)	Data 0.001 (0.006)	Loss 1.7975 (1.8568)	Prec@1 54.688 (51.355)	Prec@5 83.594 (81.280)
Epoch: [68][1110/14090]	Time 0.739 (0.767)	Data 0.001 (0.006)	Loss 1.9048 (1.8570)	Prec@1 50.000 (51.357)	Prec@5 78.125 (81.263)
Epoch: [68][1120/14090]	Time 0.856 (0.767)	Data 0.001 (0.006)	Loss 1.5715 (1.8569)	Prec@1 58.594 (51.358)	Prec@5 83.594 (81.249)
Epoch: [68][1130/14090]	Time 0.729 (0.767)	Data 0.001 (0.006)	Loss 1.8204 (1.8567)	Prec@1 53.125 (51.366)	Prec@5 79.688 (81.245)
Epoch: [68][1140/14090]	Time 0.728 (0.766)	Data 0.001 (0.006)	Loss 1.8130 (1.8562)	Prec@1 47.656 (51.369)	Prec@5 82.031 (81.262)
Epoch: [68][1150/14090]	Time 0.757 (0.766)	Data 0.001 (0.006)	Loss 1.9658 (1.8559)	Prec@1 45.312 (51.368)	Prec@5 80.469 (81.272)
Epoch: [68][1160/14090]	Time 0.759 (0.766)	Data 0.001 (0.006)	Loss 1.6844 (1.8551)	Prec@1 55.469 (51.365)	Prec@5 82.812 (81.284)
Epoch: [68][1170/14090]	Time 0.724 (0.766)	Data 0.001 (0.006)	Loss 1.8594 (1.8547)	Prec@1 49.219 (51.369)	Prec@5 78.125 (81.294)
Epoch: [68][1180/14090]	Time 0.741 (0.766)	Data 0.001 (0.006)	Loss 1.9958 (1.8550)	Prec@1 42.969 (51.364)	Prec@5 76.562 (81.296)
Epoch: [68][1190/14090]	Time 0.880 (0.766)	Data 0.001 (0.006)	Loss 1.8820 (1.8546)	Prec@1 48.438 (51.374)	Prec@5 84.375 (81.308)
Epoch: [68][1200/14090]	Time 0.734 (0.766)	Data 0.001 (0.006)	Loss 2.0497 (1.8544)	Prec@1 48.438 (51.397)	Prec@5 79.688 (81.322)
Epoch: [68][1210/14090]	Time 0.752 (0.766)	Data 0.001 (0.006)	Loss 1.6974 (1.8541)	Prec@1 55.469 (51.405)	Prec@5 82.812 (81.329)
Epoch: [68][1220/14090]	Time 0.733 (0.766)	Data 0.001 (0.006)	Loss 1.9088 (1.8545)	Prec@1 54.688 (51.403)	Prec@5 81.250 (81.316)
Epoch: [68][1230/14090]	Time 0.739 (0.766)	Data 0.001 (0.006)	Loss 1.9533 (1.8549)	Prec@1 46.875 (51.396)	Prec@5 78.125 (81.303)
Epoch: [68][1240/14090]	Time 0.719 (0.766)	Data 0.001 (0.006)	Loss 1.7862 (1.8544)	Prec@1 50.781 (51.405)	Prec@5 82.812 (81.305)
Epoch: [68][1250/14090]	Time 0.756 (0.766)	Data 0.003 (0.006)	Loss 1.7573 (1.8541)	Prec@1 54.688 (51.409)	Prec@5 83.594 (81.308)
Epoch: [68][1260/14090]	Time 0.870 (0.766)	Data 0.001 (0.006)	Loss 1.8290 (1.8539)	Prec@1 48.438 (51.412)	Prec@5 80.469 (81.306)
Epoch: [68][1270/14090]	Time 0.791 (0.766)	Data 0.001 (0.006)	Loss 1.9771 (1.8536)	Prec@1 51.562 (51.423)	Prec@5 78.125 (81.299)
Epoch: [68][1280/14090]	Time 0.786 (0.766)	Data 0.001 (0.006)	Loss 2.0256 (1.8536)	Prec@1 42.188 (51.419)	Prec@5 80.469 (81.304)
Epoch: [68][1290/14090]	Time 0.727 (0.766)	Data 0.001 (0.005)	Loss 1.6447 (1.8529)	Prec@1 54.688 (51.435)	Prec@5 87.500 (81.318)
Epoch: [68][1300/14090]	Time 0.749 (0.766)	Data 0.001 (0.005)	Loss 1.7861 (1.8521)	Prec@1 47.656 (51.448)	Prec@5 79.688 (81.324)
Epoch: [68][1310/14090]	Time 0.749 (0.766)	Data 0.001 (0.005)	Loss 1.6748 (1.8520)	Prec@1 54.688 (51.445)	Prec@5 82.031 (81.321)
Epoch: [68][1320/14090]	Time 0.746 (0.766)	Data 0.001 (0.005)	Loss 2.0609 (1.8518)	Prec@1 47.656 (51.453)	Prec@5 82.031 (81.325)
Epoch: [68][1330/14090]	Time 0.869 (0.766)	Data 0.001 (0.005)	Loss 1.8146 (1.8517)	Prec@1 49.219 (51.460)	Prec@5 85.156 (81.322)
Epoch: [68][1340/14090]	Time 0.743 (0.766)	Data 0.001 (0.005)	Loss 2.0404 (1.8517)	Prec@1 49.219 (51.460)	Prec@5 81.250 (81.321)
Epoch: [68][1350/14090]	Time 0.737 (0.766)	Data 0.001 (0.005)	Loss 1.7913 (1.8519)	Prec@1 53.906 (51.453)	Prec@5 78.125 (81.317)
Epoch: [68][1360/14090]	Time 0.767 (0.766)	Data 0.001 (0.005)	Loss 1.8068 (1.8519)	Prec@1 52.344 (51.447)	Prec@5 81.250 (81.324)
Epoch: [68][1370/14090]	Time 0.730 (0.766)	Data 0.001 (0.005)	Loss 1.9730 (1.8519)	Prec@1 46.875 (51.451)	Prec@5 78.125 (81.310)
Epoch: [68][1380/14090]	Time 0.753 (0.766)	Data 0.001 (0.005)	Loss 1.8967 (1.8513)	Prec@1 46.875 (51.462)	Prec@5 80.469 (81.322)
Epoch: [68][1390/14090]	Time 0.780 (0.766)	Data 0.001 (0.005)	Loss 1.8378 (1.8511)	Prec@1 57.812 (51.467)	Prec@5 79.688 (81.320)
Epoch: [68][1400/14090]	Time 0.859 (0.766)	Data 0.001 (0.005)	Loss 1.8368 (1.8515)	Prec@1 49.219 (51.454)	Prec@5 84.375 (81.320)
Epoch: [68][1410/14090]	Time 0.734 (0.766)	Data 0.001 (0.005)	Loss 1.7924 (1.8515)	Prec@1 55.469 (51.461)	Prec@5 86.719 (81.323)
Epoch: [68][1420/14090]	Time 0.726 (0.766)	Data 0.001 (0.005)	Loss 1.7532 (1.8512)	Prec@1 57.031 (51.468)	Prec@5 87.500 (81.330)
Epoch: [68][1430/14090]	Time 0.769 (0.766)	Data 0.001 (0.005)	Loss 1.8901 (1.8510)	Prec@1 54.688 (51.475)	Prec@5 82.031 (81.327)
Epoch: [68][1440/14090]	Time 0.757 (0.766)	Data 0.001 (0.005)	Loss 1.7529 (1.8507)	Prec@1 53.906 (51.468)	Prec@5 82.031 (81.335)
Epoch: [68][1450/14090]	Time 0.753 (0.766)	Data 0.001 (0.005)	Loss 1.8109 (1.8504)	Prec@1 53.125 (51.477)	Prec@5 82.031 (81.337)
Epoch: [68][1460/14090]	Time 0.759 (0.765)	Data 0.001 (0.005)	Loss 1.9370 (1.8505)	Prec@1 55.469 (51.480)	Prec@5 76.562 (81.337)
Epoch: [68][1470/14090]	Time 0.889 (0.765)	Data 0.001 (0.005)	Loss 1.9839 (1.8503)	Prec@1 45.312 (51.484)	Prec@5 82.031 (81.343)
Epoch: [68][1480/14090]	Time 0.749 (0.765)	Data 0.001 (0.005)	Loss 2.0844 (1.8503)	Prec@1 46.094 (51.483)	Prec@5 78.906 (81.337)
Epoch: [68][1490/14090]	Time 0.732 (0.765)	Data 0.001 (0.005)	Loss 2.0828 (1.8506)	Prec@1 50.000 (51.476)	Prec@5 76.562 (81.338)
Epoch: [68][1500/14090]	Time 0.724 (0.765)	Data 0.001 (0.005)	Loss 1.7870 (1.8504)	Prec@1 56.250 (51.486)	Prec@5 79.688 (81.345)
Epoch: [68][1510/14090]	Time 0.736 (0.765)	Data 0.001 (0.005)	Loss 2.0509 (1.8507)	Prec@1 51.562 (51.489)	Prec@5 80.469 (81.341)
Epoch: [68][1520/14090]	Time 0.730 (0.766)	Data 0.001 (0.005)	Loss 1.8871 (1.8509)	Prec@1 51.562 (51.496)	Prec@5 82.812 (81.335)
Epoch: [68][1530/14090]	Time 0.744 (0.765)	Data 0.001 (0.005)	Loss 1.7124 (1.8512)	Prec@1 53.906 (51.500)	Prec@5 84.375 (81.330)
Epoch: [68][1540/14090]	Time 0.820 (0.765)	Data 0.001 (0.005)	Loss 1.9425 (1.8507)	Prec@1 52.344 (51.520)	Prec@5 82.031 (81.335)
Epoch: [68][1550/14090]	Time 0.757 (0.765)	Data 0.001 (0.005)	Loss 1.8131 (1.8506)	Prec@1 49.219 (51.526)	Prec@5 79.688 (81.337)
Epoch: [68][1560/14090]	Time 0.740 (0.765)	Data 0.001 (0.005)	Loss 1.7722 (1.8502)	Prec@1 50.781 (51.524)	Prec@5 83.594 (81.345)
Epoch: [68][1570/14090]	Time 0.734 (0.765)	Data 0.001 (0.005)	Loss 1.6586 (1.8497)	Prec@1 56.250 (51.540)	Prec@5 85.156 (81.343)
Epoch: [68][1580/14090]	Time 0.780 (0.765)	Data 0.001 (0.005)	Loss 1.8475 (1.8499)	Prec@1 51.562 (51.539)	Prec@5 80.469 (81.344)
Epoch: [68][1590/14090]	Time 0.744 (0.765)	Data 0.001 (0.005)	Loss 1.8046 (1.8502)	Prec@1 53.906 (51.540)	Prec@5 83.594 (81.340)
Epoch: [68][1600/14090]	Time 0.720 (0.765)	Data 0.001 (0.005)	Loss 2.0108 (1.8505)	Prec@1 49.219 (51.536)	Prec@5 77.344 (81.337)
Epoch: [68][1610/14090]	Time 0.831 (0.765)	Data 0.001 (0.005)	Loss 1.9488 (1.8504)	Prec@1 50.000 (51.547)	Prec@5 81.250 (81.341)
Epoch: [68][1620/14090]	Time 0.743 (0.765)	Data 0.001 (0.005)	Loss 1.8448 (1.8507)	Prec@1 54.688 (51.536)	Prec@5 79.688 (81.340)
Epoch: [68][1630/14090]	Time 0.744 (0.765)	Data 0.001 (0.004)	Loss 1.9905 (1.8510)	Prec@1 53.125 (51.539)	Prec@5 79.688 (81.333)
Epoch: [68][1640/14090]	Time 0.777 (0.765)	Data 0.001 (0.004)	Loss 1.8175 (1.8507)	Prec@1 53.906 (51.551)	Prec@5 83.594 (81.337)
Epoch: [68][1650/14090]	Time 0.733 (0.765)	Data 0.001 (0.004)	Loss 1.8250 (1.8506)	Prec@1 51.562 (51.562)	Prec@5 82.812 (81.338)
Epoch: [68][1660/14090]	Time 0.749 (0.765)	Data 0.001 (0.004)	Loss 1.9120 (1.8509)	Prec@1 48.438 (51.554)	Prec@5 82.031 (81.334)
Epoch: [68][1670/14090]	Time 0.777 (0.765)	Data 0.001 (0.004)	Loss 2.0195 (1.8512)	Prec@1 43.750 (51.542)	Prec@5 78.125 (81.329)
Epoch: [68][1680/14090]	Time 0.878 (0.765)	Data 0.001 (0.004)	Loss 1.5260 (1.8513)	Prec@1 60.938 (51.535)	Prec@5 87.500 (81.324)
Epoch: [68][1690/14090]	Time 0.737 (0.765)	Data 0.001 (0.004)	Loss 2.1535 (1.8514)	Prec@1 43.750 (51.536)	Prec@5 78.906 (81.325)
Epoch: [68][1700/14090]	Time 0.745 (0.765)	Data 0.001 (0.004)	Loss 1.7749 (1.8510)	Prec@1 50.781 (51.538)	Prec@5 85.156 (81.340)
Epoch: [68][1710/14090]	Time 0.755 (0.765)	Data 0.001 (0.004)	Loss 2.0842 (1.8510)	Prec@1 42.188 (51.538)	Prec@5 80.469 (81.344)
Epoch: [68][1720/14090]	Time 0.749 (0.765)	Data 0.001 (0.004)	Loss 2.2144 (1.8512)	Prec@1 46.094 (51.539)	Prec@5 75.781 (81.341)
Epoch: [68][1730/14090]	Time 0.729 (0.765)	Data 0.001 (0.004)	Loss 1.8446 (1.8512)	Prec@1 49.219 (51.543)	Prec@5 80.469 (81.340)
Epoch: [68][1740/14090]	Time 0.758 (0.765)	Data 0.001 (0.004)	Loss 1.9333 (1.8515)	Prec@1 50.000 (51.534)	Prec@5 77.344 (81.335)
Epoch: [68][1750/14090]	Time 0.907 (0.765)	Data 0.001 (0.004)	Loss 1.6877 (1.8512)	Prec@1 55.469 (51.539)	Prec@5 85.156 (81.339)
Epoch: [68][1760/14090]	Time 0.763 (0.765)	Data 0.001 (0.004)	Loss 1.5416 (1.8508)	Prec@1 56.250 (51.541)	Prec@5 89.844 (81.345)
Epoch: [68][1770/14090]	Time 0.748 (0.765)	Data 0.001 (0.004)	Loss 1.8372 (1.8508)	Prec@1 51.562 (51.540)	Prec@5 79.688 (81.348)
Epoch: [68][1780/14090]	Time 0.724 (0.765)	Data 0.001 (0.004)	Loss 1.9725 (1.8507)	Prec@1 49.219 (51.539)	Prec@5 78.125 (81.345)
Epoch: [68][1790/14090]	Time 0.733 (0.765)	Data 0.001 (0.004)	Loss 1.7527 (1.8509)	Prec@1 55.469 (51.533)	Prec@5 83.594 (81.343)
Epoch: [68][1800/14090]	Time 0.735 (0.765)	Data 0.001 (0.004)	Loss 1.8926 (1.8514)	Prec@1 50.781 (51.526)	Prec@5 80.469 (81.333)
Epoch: [68][1810/14090]	Time 0.754 (0.765)	Data 0.001 (0.004)	Loss 1.5193 (1.8507)	Prec@1 60.156 (51.546)	Prec@5 85.938 (81.346)
Epoch: [68][1820/14090]	Time 0.850 (0.765)	Data 0.001 (0.004)	Loss 1.7257 (1.8506)	Prec@1 53.125 (51.547)	Prec@5 89.062 (81.352)
Epoch: [68][1830/14090]	Time 0.739 (0.765)	Data 0.001 (0.004)	Loss 2.0297 (1.8509)	Prec@1 50.000 (51.547)	Prec@5 71.875 (81.337)
Epoch: [68][1840/14090]	Time 0.745 (0.765)	Data 0.001 (0.004)	Loss 1.8937 (1.8508)	Prec@1 50.000 (51.548)	Prec@5 82.031 (81.342)
Epoch: [68][1850/14090]	Time 0.758 (0.765)	Data 0.001 (0.004)	Loss 1.9198 (1.8509)	Prec@1 49.219 (51.553)	Prec@5 75.781 (81.335)
Epoch: [68][1860/14090]	Time 0.736 (0.765)	Data 0.001 (0.004)	Loss 2.0855 (1.8508)	Prec@1 44.531 (51.549)	Prec@5 80.469 (81.338)
Epoch: [68][1870/14090]	Time 0.754 (0.765)	Data 0.001 (0.004)	Loss 2.1457 (1.8513)	Prec@1 46.875 (51.539)	Prec@5 75.000 (81.329)
Epoch: [68][1880/14090]	Time 0.752 (0.765)	Data 0.001 (0.004)	Loss 1.6785 (1.8512)	Prec@1 51.562 (51.543)	Prec@5 85.938 (81.332)
Epoch: [68][1890/14090]	Time 0.869 (0.765)	Data 0.001 (0.004)	Loss 2.2059 (1.8513)	Prec@1 42.188 (51.536)	Prec@5 72.656 (81.333)
Epoch: [68][1900/14090]	Time 0.735 (0.765)	Data 0.001 (0.004)	Loss 1.9610 (1.8512)	Prec@1 54.688 (51.540)	Prec@5 72.656 (81.330)
Epoch: [68][1910/14090]	Time 0.746 (0.765)	Data 0.001 (0.004)	Loss 1.8085 (1.8513)	Prec@1 53.906 (51.537)	Prec@5 82.812 (81.327)
Epoch: [68][1920/14090]	Time 0.781 (0.765)	Data 0.001 (0.004)	Loss 1.9779 (1.8511)	Prec@1 50.781 (51.549)	Prec@5 77.344 (81.325)
Epoch: [68][1930/14090]	Time 0.776 (0.765)	Data 0.001 (0.004)	Loss 1.8499 (1.8511)	Prec@1 49.219 (51.549)	Prec@5 83.594 (81.318)
Epoch: [68][1940/14090]	Time 0.737 (0.765)	Data 0.001 (0.004)	Loss 1.9185 (1.8510)	Prec@1 46.875 (51.550)	Prec@5 80.469 (81.320)
Epoch: [68][1950/14090]	Time 0.773 (0.765)	Data 0.001 (0.004)	Loss 1.8906 (1.8513)	Prec@1 53.125 (51.544)	Prec@5 78.906 (81.318)
Epoch: [68][1960/14090]	Time 0.860 (0.765)	Data 0.001 (0.004)	Loss 1.9122 (1.8512)	Prec@1 47.656 (51.544)	Prec@5 82.031 (81.322)
Epoch: [68][1970/14090]	Time 0.742 (0.765)	Data 0.001 (0.004)	Loss 1.5363 (1.8514)	Prec@1 54.688 (51.535)	Prec@5 88.281 (81.323)
Epoch: [68][1980/14090]	Time 0.737 (0.765)	Data 0.001 (0.004)	Loss 1.7626 (1.8512)	Prec@1 57.812 (51.538)	Prec@5 82.812 (81.324)
Epoch: [68][1990/14090]	Time 0.753 (0.765)	Data 0.001 (0.004)	Loss 2.1241 (1.8514)	Prec@1 50.000 (51.533)	Prec@5 73.438 (81.322)
Epoch: [68][2000/14090]	Time 0.745 (0.765)	Data 0.001 (0.004)	Loss 1.6467 (1.8515)	Prec@1 59.375 (51.546)	Prec@5 83.594 (81.320)
Epoch: [68][2010/14090]	Time 0.738 (0.765)	Data 0.001 (0.004)	Loss 1.5281 (1.8512)	Prec@1 60.156 (51.551)	Prec@5 88.281 (81.322)
Epoch: [68][2020/14090]	Time 0.741 (0.765)	Data 0.001 (0.004)	Loss 1.6072 (1.8510)	Prec@1 55.469 (51.554)	Prec@5 83.594 (81.326)
Epoch: [68][2030/14090]	Time 0.921 (0.765)	Data 0.001 (0.004)	Loss 1.7017 (1.8508)	Prec@1 53.906 (51.557)	Prec@5 86.719 (81.329)
Epoch: [68][2040/14090]	Time 0.736 (0.765)	Data 0.001 (0.004)	Loss 1.9456 (1.8509)	Prec@1 48.438 (51.550)	Prec@5 79.688 (81.327)
Epoch: [68][2050/14090]	Time 0.738 (0.765)	Data 0.001 (0.004)	Loss 1.6980 (1.8513)	Prec@1 58.594 (51.547)	Prec@5 83.594 (81.319)
Epoch: [68][2060/14090]	Time 0.756 (0.765)	Data 0.001 (0.004)	Loss 1.9574 (1.8512)	Prec@1 46.094 (51.553)	Prec@5 80.469 (81.322)
Epoch: [68][2070/14090]	Time 0.740 (0.765)	Data 0.001 (0.004)	Loss 1.8622 (1.8513)	Prec@1 52.344 (51.541)	Prec@5 84.375 (81.322)
Epoch: [68][2080/14090]	Time 0.755 (0.765)	Data 0.001 (0.004)	Loss 2.0200 (1.8513)	Prec@1 44.531 (51.541)	Prec@5 78.906 (81.316)
Epoch: [68][2090/14090]	Time 0.742 (0.765)	Data 0.001 (0.004)	Loss 1.6552 (1.8513)	Prec@1 59.375 (51.545)	Prec@5 81.250 (81.306)
Epoch: [68][2100/14090]	Time 0.891 (0.765)	Data 0.001 (0.004)	Loss 2.0524 (1.8512)	Prec@1 44.531 (51.545)	Prec@5 80.469 (81.307)
Epoch: [68][2110/14090]	Time 0.757 (0.765)	Data 0.001 (0.004)	Loss 2.0400 (1.8515)	Prec@1 49.219 (51.547)	Prec@5 77.344 (81.301)
Epoch: [68][2120/14090]	Time 0.776 (0.765)	Data 0.001 (0.004)	Loss 1.9815 (1.8517)	Prec@1 46.094 (51.543)	Prec@5 78.906 (81.295)
Epoch: [68][2130/14090]	Time 0.721 (0.765)	Data 0.001 (0.004)	Loss 1.9957 (1.8518)	Prec@1 53.906 (51.543)	Prec@5 79.688 (81.291)
Epoch: [68][2140/14090]	Time 0.736 (0.765)	Data 0.001 (0.004)	Loss 1.9184 (1.8516)	Prec@1 47.656 (51.548)	Prec@5 79.688 (81.288)
Epoch: [68][2150/14090]	Time 0.751 (0.765)	Data 0.001 (0.004)	Loss 1.7726 (1.8515)	Prec@1 53.125 (51.554)	Prec@5 82.031 (81.294)
Epoch: [68][2160/14090]	Time 0.729 (0.765)	Data 0.001 (0.004)	Loss 2.2078 (1.8516)	Prec@1 45.312 (51.551)	Prec@5 75.000 (81.293)
Epoch: [68][2170/14090]	Time 0.855 (0.765)	Data 0.001 (0.004)	Loss 1.7665 (1.8515)	Prec@1 58.594 (51.557)	Prec@5 82.812 (81.294)
Epoch: [68][2180/14090]	Time 0.754 (0.765)	Data 0.001 (0.004)	Loss 1.7989 (1.8515)	Prec@1 50.000 (51.557)	Prec@5 82.812 (81.292)
Epoch: [68][2190/14090]	Time 0.765 (0.765)	Data 0.001 (0.004)	Loss 1.7885 (1.8512)	Prec@1 53.125 (51.566)	Prec@5 78.906 (81.295)
Epoch: [68][2200/14090]	Time 0.770 (0.764)	Data 0.001 (0.004)	Loss 1.8614 (1.8513)	Prec@1 50.000 (51.562)	Prec@5 82.812 (81.296)
Epoch: [68][2210/14090]	Time 0.757 (0.765)	Data 0.001 (0.004)	Loss 2.0133 (1.8512)	Prec@1 49.219 (51.565)	Prec@5 75.000 (81.301)
Epoch: [68][2220/14090]	Time 0.726 (0.765)	Data 0.001 (0.004)	Loss 1.8056 (1.8510)	Prec@1 54.688 (51.571)	Prec@5 81.250 (81.304)
Epoch: [68][2230/14090]	Time 0.770 (0.764)	Data 0.001 (0.004)	Loss 1.8118 (1.8510)	Prec@1 51.562 (51.572)	Prec@5 81.250 (81.305)
Epoch: [68][2240/14090]	Time 0.833 (0.764)	Data 0.001 (0.003)	Loss 1.8711 (1.8512)	Prec@1 55.469 (51.573)	Prec@5 82.812 (81.303)
Epoch: [68][2250/14090]	Time 0.728 (0.764)	Data 0.001 (0.003)	Loss 2.0279 (1.8510)	Prec@1 45.312 (51.568)	Prec@5 82.812 (81.309)
Epoch: [68][2260/14090]	Time 0.733 (0.764)	Data 0.001 (0.003)	Loss 1.6416 (1.8509)	Prec@1 55.469 (51.576)	Prec@5 83.594 (81.310)
Epoch: [68][2270/14090]	Time 0.772 (0.764)	Data 0.001 (0.003)	Loss 2.0963 (1.8510)	Prec@1 44.531 (51.571)	Prec@5 78.906 (81.311)
Epoch: [68][2280/14090]	Time 0.767 (0.764)	Data 0.001 (0.003)	Loss 1.6947 (1.8508)	Prec@1 48.438 (51.568)	Prec@5 85.938 (81.321)
Epoch: [68][2290/14090]	Time 0.756 (0.764)	Data 0.001 (0.003)	Loss 1.9183 (1.8507)	Prec@1 49.219 (51.573)	Prec@5 78.125 (81.319)
Epoch: [68][2300/14090]	Time 0.722 (0.764)	Data 0.001 (0.003)	Loss 1.6271 (1.8503)	Prec@1 53.906 (51.579)	Prec@5 85.156 (81.328)
Epoch: [68][2310/14090]	Time 0.829 (0.764)	Data 0.001 (0.003)	Loss 2.1121 (1.8503)	Prec@1 47.656 (51.575)	Prec@5 76.562 (81.330)
Epoch: [68][2320/14090]	Time 0.740 (0.764)	Data 0.001 (0.003)	Loss 2.0797 (1.8505)	Prec@1 53.125 (51.571)	Prec@5 80.469 (81.329)
Epoch: [68][2330/14090]	Time 0.735 (0.764)	Data 0.001 (0.003)	Loss 2.0227 (1.8509)	Prec@1 43.750 (51.569)	Prec@5 77.344 (81.319)
Epoch: [68][2340/14090]	Time 0.755 (0.764)	Data 0.001 (0.003)	Loss 1.7284 (1.8510)	Prec@1 56.250 (51.568)	Prec@5 85.156 (81.316)
Epoch: [68][2350/14090]	Time 0.775 (0.764)	Data 0.001 (0.003)	Loss 1.9960 (1.8510)	Prec@1 43.750 (51.561)	Prec@5 82.031 (81.318)
Epoch: [68][2360/14090]	Time 0.739 (0.764)	Data 0.001 (0.003)	Loss 1.9260 (1.8514)	Prec@1 53.906 (51.555)	Prec@5 77.344 (81.309)
Epoch: [68][2370/14090]	Time 0.731 (0.764)	Data 0.001 (0.003)	Loss 1.8316 (1.8516)	Prec@1 50.000 (51.548)	Prec@5 82.031 (81.306)
Epoch: [68][2380/14090]	Time 0.872 (0.764)	Data 0.001 (0.003)	Loss 2.0404 (1.8515)	Prec@1 44.531 (51.552)	Prec@5 75.781 (81.306)
Epoch: [68][2390/14090]	Time 0.750 (0.764)	Data 0.001 (0.003)	Loss 1.7757 (1.8513)	Prec@1 53.125 (51.559)	Prec@5 80.469 (81.302)
Epoch: [68][2400/14090]	Time 0.728 (0.764)	Data 0.001 (0.003)	Loss 1.9023 (1.8509)	Prec@1 50.000 (51.566)	Prec@5 82.812 (81.310)
Epoch: [68][2410/14090]	Time 0.750 (0.764)	Data 0.001 (0.003)	Loss 1.9527 (1.8509)	Prec@1 52.344 (51.570)	Prec@5 79.688 (81.305)
Epoch: [68][2420/14090]	Time 0.730 (0.764)	Data 0.001 (0.003)	Loss 1.9729 (1.8509)	Prec@1 43.750 (51.570)	Prec@5 78.125 (81.304)
Epoch: [68][2430/14090]	Time 0.730 (0.764)	Data 0.001 (0.003)	Loss 1.5757 (1.8506)	Prec@1 56.250 (51.574)	Prec@5 85.938 (81.308)
Epoch: [68][2440/14090]	Time 0.726 (0.764)	Data 0.001 (0.003)	Loss 1.8870 (1.8504)	Prec@1 48.438 (51.582)	Prec@5 79.688 (81.307)
Epoch: [68][2450/14090]	Time 0.896 (0.764)	Data 0.001 (0.003)	Loss 1.9746 (1.8502)	Prec@1 51.562 (51.590)	Prec@5 79.688 (81.302)
Epoch: [68][2460/14090]	Time 0.772 (0.764)	Data 0.001 (0.003)	Loss 1.7884 (1.8506)	Prec@1 46.094 (51.577)	Prec@5 82.031 (81.296)
Epoch: [68][2470/14090]	Time 0.776 (0.764)	Data 0.001 (0.003)	Loss 1.9963 (1.8508)	Prec@1 49.219 (51.574)	Prec@5 77.344 (81.293)
Epoch: [68][2480/14090]	Time 0.747 (0.764)	Data 0.001 (0.003)	Loss 1.5907 (1.8507)	Prec@1 56.250 (51.571)	Prec@5 85.938 (81.294)
Epoch: [68][2490/14090]	Time 0.738 (0.764)	Data 0.001 (0.003)	Loss 1.9625 (1.8508)	Prec@1 47.656 (51.568)	Prec@5 81.250 (81.289)
Epoch: [68][2500/14090]	Time 0.776 (0.764)	Data 0.001 (0.003)	Loss 1.9359 (1.8510)	Prec@1 50.000 (51.563)	Prec@5 77.344 (81.285)
Epoch: [68][2510/14090]	Time 0.749 (0.764)	Data 0.001 (0.003)	Loss 1.6902 (1.8510)	Prec@1 56.250 (51.568)	Prec@5 81.250 (81.281)
Epoch: [68][2520/14090]	Time 0.875 (0.764)	Data 0.001 (0.003)	Loss 1.6296 (1.8509)	Prec@1 55.469 (51.572)	Prec@5 84.375 (81.284)
Epoch: [68][2530/14090]	Time 0.734 (0.764)	Data 0.001 (0.003)	Loss 1.6779 (1.8510)	Prec@1 56.250 (51.572)	Prec@5 82.812 (81.279)
Epoch: [68][2540/14090]	Time 0.735 (0.764)	Data 0.001 (0.003)	Loss 1.7131 (1.8509)	Prec@1 56.250 (51.580)	Prec@5 79.688 (81.280)
Epoch: [68][2550/14090]	Time 0.721 (0.764)	Data 0.001 (0.003)	Loss 1.8868 (1.8510)	Prec@1 56.250 (51.577)	Prec@5 82.031 (81.280)
Epoch: [68][2560/14090]	Time 0.752 (0.764)	Data 0.001 (0.003)	Loss 1.9071 (1.8509)	Prec@1 51.562 (51.575)	Prec@5 83.594 (81.287)
Epoch: [68][2570/14090]	Time 0.732 (0.764)	Data 0.001 (0.003)	Loss 1.8127 (1.8505)	Prec@1 53.125 (51.590)	Prec@5 83.594 (81.289)
Epoch: [68][2580/14090]	Time 0.769 (0.764)	Data 0.001 (0.003)	Loss 1.4904 (1.8504)	Prec@1 60.938 (51.596)	Prec@5 87.500 (81.292)
Epoch: [68][2590/14090]	Time 0.858 (0.764)	Data 0.001 (0.003)	Loss 1.7374 (1.8506)	Prec@1 53.125 (51.593)	Prec@5 85.156 (81.296)
Epoch: [68][2600/14090]	Time 0.756 (0.764)	Data 0.001 (0.003)	Loss 2.1719 (1.8508)	Prec@1 49.219 (51.590)	Prec@5 74.219 (81.291)
Epoch: [68][2610/14090]	Time 0.731 (0.764)	Data 0.001 (0.003)	Loss 1.7263 (1.8509)	Prec@1 58.594 (51.589)	Prec@5 85.156 (81.292)
Epoch: [68][2620/14090]	Time 0.743 (0.764)	Data 0.001 (0.003)	Loss 1.9245 (1.8508)	Prec@1 46.094 (51.586)	Prec@5 82.812 (81.294)
Epoch: [68][2630/14090]	Time 0.767 (0.764)	Data 0.001 (0.003)	Loss 1.8465 (1.8504)	Prec@1 49.219 (51.598)	Prec@5 82.031 (81.301)
Epoch: [68][2640/14090]	Time 0.737 (0.764)	Data 0.001 (0.003)	Loss 1.8535 (1.8502)	Prec@1 53.125 (51.603)	Prec@5 84.375 (81.304)
Epoch: [68][2650/14090]	Time 0.745 (0.764)	Data 0.001 (0.003)	Loss 1.7820 (1.8501)	Prec@1 51.562 (51.605)	Prec@5 82.031 (81.305)
Epoch: [68][2660/14090]	Time 0.864 (0.764)	Data 0.001 (0.003)	Loss 1.8814 (1.8502)	Prec@1 46.875 (51.599)	Prec@5 84.375 (81.305)
Epoch: [68][2670/14090]	Time 0.729 (0.764)	Data 0.001 (0.003)	Loss 1.6816 (1.8501)	Prec@1 50.000 (51.599)	Prec@5 82.031 (81.307)
Epoch: [68][2680/14090]	Time 0.725 (0.764)	Data 0.001 (0.003)	Loss 1.6730 (1.8499)	Prec@1 62.500 (51.604)	Prec@5 85.156 (81.311)
Epoch: [68][2690/14090]	Time 0.727 (0.764)	Data 0.001 (0.003)	Loss 1.8752 (1.8496)	Prec@1 50.781 (51.618)	Prec@5 83.594 (81.319)
Epoch: [68][2700/14090]	Time 0.726 (0.764)	Data 0.001 (0.003)	Loss 1.9217 (1.8497)	Prec@1 53.906 (51.620)	Prec@5 75.781 (81.312)
Epoch: [68][2710/14090]	Time 0.747 (0.764)	Data 0.001 (0.003)	Loss 1.8438 (1.8497)	Prec@1 50.000 (51.616)	Prec@5 85.156 (81.311)
Epoch: [68][2720/14090]	Time 0.729 (0.764)	Data 0.001 (0.003)	Loss 1.6568 (1.8497)	Prec@1 58.594 (51.617)	Prec@5 85.938 (81.314)
Epoch: [68][2730/14090]	Time 0.850 (0.764)	Data 0.001 (0.003)	Loss 1.6609 (1.8495)	Prec@1 59.375 (51.624)	Prec@5 87.500 (81.320)
Epoch: [68][2740/14090]	Time 0.748 (0.764)	Data 0.001 (0.003)	Loss 1.6760 (1.8494)	Prec@1 54.688 (51.624)	Prec@5 86.719 (81.321)
Epoch: [68][2750/14090]	Time 0.767 (0.764)	Data 0.001 (0.003)	Loss 1.9020 (1.8497)	Prec@1 47.656 (51.620)	Prec@5 79.688 (81.319)
Epoch: [68][2760/14090]	Time 0.753 (0.764)	Data 0.001 (0.003)	Loss 1.9452 (1.8498)	Prec@1 46.094 (51.615)	Prec@5 81.250 (81.320)
Epoch: [68][2770/14090]	Time 0.737 (0.764)	Data 0.001 (0.003)	Loss 1.9226 (1.8497)	Prec@1 50.781 (51.614)	Prec@5 78.125 (81.322)
Epoch: [68][2780/14090]	Time 0.756 (0.764)	Data 0.001 (0.003)	Loss 1.9887 (1.8495)	Prec@1 50.000 (51.625)	Prec@5 83.594 (81.326)
Epoch: [68][2790/14090]	Time 0.750 (0.764)	Data 0.001 (0.003)	Loss 1.7835 (1.8494)	Prec@1 49.219 (51.627)	Prec@5 83.594 (81.329)
Epoch: [68][2800/14090]	Time 0.859 (0.764)	Data 0.001 (0.003)	Loss 1.8489 (1.8494)	Prec@1 53.125 (51.623)	Prec@5 80.469 (81.329)
Epoch: [68][2810/14090]	Time 0.733 (0.764)	Data 0.001 (0.003)	Loss 2.2167 (1.8494)	Prec@1 44.531 (51.629)	Prec@5 78.906 (81.331)
Epoch: [68][2820/14090]	Time 0.737 (0.764)	Data 0.001 (0.003)	Loss 2.0589 (1.8494)	Prec@1 48.438 (51.628)	Prec@5 76.562 (81.331)
Epoch: [68][2830/14090]	Time 0.743 (0.764)	Data 0.001 (0.003)	Loss 1.9061 (1.8495)	Prec@1 50.000 (51.631)	Prec@5 84.375 (81.328)
Epoch: [68][2840/14090]	Time 0.749 (0.764)	Data 0.001 (0.003)	Loss 1.6197 (1.8493)	Prec@1 54.688 (51.639)	Prec@5 87.500 (81.332)
Epoch: [68][2850/14090]	Time 0.723 (0.764)	Data 0.001 (0.003)	Loss 1.9281 (1.8493)	Prec@1 49.219 (51.636)	Prec@5 82.031 (81.332)
Epoch: [68][2860/14090]	Time 0.779 (0.764)	Data 0.001 (0.003)	Loss 1.9839 (1.8494)	Prec@1 47.656 (51.640)	Prec@5 80.469 (81.329)
Epoch: [68][2870/14090]	Time 0.899 (0.764)	Data 0.001 (0.003)	Loss 1.5981 (1.8492)	Prec@1 57.812 (51.645)	Prec@5 85.938 (81.328)
Epoch: [68][2880/14090]	Time 0.733 (0.764)	Data 0.001 (0.003)	Loss 1.7833 (1.8495)	Prec@1 62.500 (51.645)	Prec@5 79.688 (81.324)
Epoch: [68][2890/14090]	Time 0.731 (0.764)	Data 0.001 (0.003)	Loss 2.0399 (1.8496)	Prec@1 46.094 (51.648)	Prec@5 76.562 (81.318)
Epoch: [68][2900/14090]	Time 0.773 (0.764)	Data 0.001 (0.003)	Loss 1.7434 (1.8496)	Prec@1 50.781 (51.648)	Prec@5 85.156 (81.317)
Epoch: [68][2910/14090]	Time 0.780 (0.764)	Data 0.001 (0.003)	Loss 2.0680 (1.8497)	Prec@1 45.312 (51.648)	Prec@5 75.781 (81.311)
Epoch: [68][2920/14090]	Time 0.740 (0.764)	Data 0.001 (0.003)	Loss 1.7219 (1.8499)	Prec@1 57.031 (51.648)	Prec@5 79.688 (81.306)
Epoch: [68][2930/14090]	Time 0.760 (0.764)	Data 0.001 (0.003)	Loss 1.8963 (1.8500)	Prec@1 53.125 (51.646)	Prec@5 77.344 (81.304)
Epoch: [68][2940/14090]	Time 0.854 (0.764)	Data 0.001 (0.003)	Loss 1.8076 (1.8501)	Prec@1 51.562 (51.648)	Prec@5 80.469 (81.303)
Epoch: [68][2950/14090]	Time 0.729 (0.764)	Data 0.001 (0.003)	Loss 2.0742 (1.8503)	Prec@1 47.656 (51.641)	Prec@5 82.031 (81.302)
Epoch: [68][2960/14090]	Time 0.751 (0.764)	Data 0.001 (0.003)	Loss 1.7060 (1.8503)	Prec@1 57.031 (51.644)	Prec@5 82.031 (81.301)
Epoch: [68][2970/14090]	Time 0.784 (0.764)	Data 0.001 (0.003)	Loss 1.7415 (1.8503)	Prec@1 54.688 (51.644)	Prec@5 85.156 (81.299)
Epoch: [68][2980/14090]	Time 0.770 (0.764)	Data 0.001 (0.003)	Loss 1.8260 (1.8504)	Prec@1 48.438 (51.637)	Prec@5 80.469 (81.300)
Epoch: [68][2990/14090]	Time 0.728 (0.764)	Data 0.001 (0.003)	Loss 1.9505 (1.8505)	Prec@1 46.875 (51.627)	Prec@5 79.688 (81.299)
Epoch: [68][3000/14090]	Time 0.747 (0.764)	Data 0.001 (0.003)	Loss 1.6767 (1.8503)	Prec@1 57.812 (51.626)	Prec@5 84.375 (81.303)
Epoch: [68][3010/14090]	Time 0.881 (0.764)	Data 0.001 (0.003)	Loss 1.8409 (1.8505)	Prec@1 50.781 (51.624)	Prec@5 78.906 (81.302)
Epoch: [68][3020/14090]	Time 0.737 (0.764)	Data 0.001 (0.003)	Loss 1.9198 (1.8506)	Prec@1 44.531 (51.624)	Prec@5 81.250 (81.295)
Epoch: [68][3030/14090]	Time 0.732 (0.764)	Data 0.001 (0.003)	Loss 1.6203 (1.8503)	Prec@1 54.688 (51.628)	Prec@5 85.156 (81.304)
Epoch: [68][3040/14090]	Time 0.757 (0.764)	Data 0.001 (0.003)	Loss 1.9995 (1.8506)	Prec@1 49.219 (51.623)	Prec@5 79.688 (81.296)
Epoch: [68][3050/14090]	Time 0.737 (0.764)	Data 0.001 (0.003)	Loss 1.8298 (1.8506)	Prec@1 54.688 (51.625)	Prec@5 81.250 (81.295)
Epoch: [68][3060/14090]	Time 0.737 (0.764)	Data 0.001 (0.003)	Loss 1.8318 (1.8509)	Prec@1 46.875 (51.617)	Prec@5 80.469 (81.288)
Epoch: [68][3070/14090]	Time 0.731 (0.764)	Data 0.001 (0.003)	Loss 1.9603 (1.8513)	Prec@1 50.000 (51.607)	Prec@5 79.688 (81.278)
Epoch: [68][3080/14090]	Time 0.844 (0.764)	Data 0.001 (0.003)	Loss 1.9983 (1.8512)	Prec@1 49.219 (51.617)	Prec@5 82.031 (81.278)
Epoch: [68][3090/14090]	Time 0.724 (0.764)	Data 0.001 (0.003)	Loss 2.0128 (1.8514)	Prec@1 47.656 (51.608)	Prec@5 77.344 (81.271)
Epoch: [68][3100/14090]	Time 0.736 (0.764)	Data 0.001 (0.003)	Loss 1.7508 (1.8513)	Prec@1 57.812 (51.612)	Prec@5 82.031 (81.273)
Epoch: [68][3110/14090]	Time 0.778 (0.764)	Data 0.001 (0.003)	Loss 1.9903 (1.8513)	Prec@1 54.688 (51.613)	Prec@5 75.781 (81.271)
Epoch: [68][3120/14090]	Time 0.775 (0.764)	Data 0.001 (0.003)	Loss 1.8482 (1.8513)	Prec@1 57.812 (51.616)	Prec@5 80.469 (81.271)
Epoch: [68][3130/14090]	Time 0.769 (0.764)	Data 0.001 (0.003)	Loss 2.0434 (1.8514)	Prec@1 50.000 (51.616)	Prec@5 76.562 (81.268)
Epoch: [68][3140/14090]	Time 0.779 (0.764)	Data 0.001 (0.003)	Loss 2.0694 (1.8517)	Prec@1 50.781 (51.612)	Prec@5 76.562 (81.258)
Epoch: [68][3150/14090]	Time 0.850 (0.764)	Data 0.001 (0.003)	Loss 1.8129 (1.8515)	Prec@1 52.344 (51.614)	Prec@5 82.031 (81.261)
Epoch: [68][3160/14090]	Time 0.726 (0.764)	Data 0.001 (0.003)	Loss 1.8194 (1.8517)	Prec@1 51.562 (51.614)	Prec@5 83.594 (81.261)
Epoch: [68][3170/14090]	Time 0.783 (0.764)	Data 0.001 (0.003)	Loss 1.6647 (1.8519)	Prec@1 53.906 (51.612)	Prec@5 81.250 (81.259)
Epoch: [68][3180/14090]	Time 0.758 (0.764)	Data 0.001 (0.003)	Loss 1.7232 (1.8517)	Prec@1 45.312 (51.613)	Prec@5 82.812 (81.266)
Epoch: [68][3190/14090]	Time 0.746 (0.764)	Data 0.001 (0.003)	Loss 1.8417 (1.8515)	Prec@1 51.562 (51.618)	Prec@5 81.250 (81.271)
Epoch: [68][3200/14090]	Time 0.724 (0.764)	Data 0.001 (0.003)	Loss 1.9410 (1.8512)	Prec@1 53.125 (51.625)	Prec@5 80.469 (81.277)
Epoch: [68][3210/14090]	Time 0.737 (0.764)	Data 0.001 (0.003)	Loss 1.8753 (1.8515)	Prec@1 52.344 (51.624)	Prec@5 80.469 (81.271)
Epoch: [68][3220/14090]	Time 0.849 (0.764)	Data 0.001 (0.003)	Loss 1.9664 (1.8520)	Prec@1 47.656 (51.615)	Prec@5 79.688 (81.265)
Epoch: [68][3230/14090]	Time 0.730 (0.764)	Data 0.001 (0.003)	Loss 1.8698 (1.8520)	Prec@1 47.656 (51.614)	Prec@5 86.719 (81.266)
Epoch: [68][3240/14090]	Time 0.725 (0.764)	Data 0.001 (0.003)	Loss 1.8843 (1.8519)	Prec@1 49.219 (51.615)	Prec@5 78.906 (81.270)
Epoch: [68][3250/14090]	Time 0.751 (0.764)	Data 0.001 (0.003)	Loss 1.6450 (1.8520)	Prec@1 53.906 (51.612)	Prec@5 87.500 (81.270)
Epoch: [68][3260/14090]	Time 0.760 (0.764)	Data 0.001 (0.003)	Loss 2.0385 (1.8522)	Prec@1 47.656 (51.607)	Prec@5 80.469 (81.268)
Epoch: [68][3270/14090]	Time 0.743 (0.764)	Data 0.001 (0.003)	Loss 1.9328 (1.8520)	Prec@1 50.000 (51.609)	Prec@5 76.562 (81.271)
Epoch: [68][3280/14090]	Time 0.753 (0.764)	Data 0.001 (0.003)	Loss 1.4583 (1.8519)	Prec@1 59.375 (51.613)	Prec@5 88.281 (81.277)
Epoch: [68][3290/14090]	Time 0.877 (0.764)	Data 0.001 (0.003)	Loss 1.7358 (1.8519)	Prec@1 56.250 (51.616)	Prec@5 85.938 (81.274)
Epoch: [68][3300/14090]	Time 0.753 (0.764)	Data 0.001 (0.003)	Loss 1.5264 (1.8520)	Prec@1 54.688 (51.608)	Prec@5 88.281 (81.274)
Epoch: [68][3310/14090]	Time 0.725 (0.764)	Data 0.001 (0.003)	Loss 1.9608 (1.8521)	Prec@1 48.438 (51.604)	Prec@5 80.469 (81.274)
Epoch: [68][3320/14090]	Time 0.773 (0.764)	Data 0.001 (0.003)	Loss 1.9078 (1.8522)	Prec@1 51.562 (51.601)	Prec@5 78.906 (81.271)
Epoch: [68][3330/14090]	Time 0.735 (0.764)	Data 0.001 (0.003)	Loss 2.1378 (1.8524)	Prec@1 43.750 (51.600)	Prec@5 73.438 (81.267)
Epoch: [68][3340/14090]	Time 0.754 (0.764)	Data 0.001 (0.003)	Loss 1.8462 (1.8524)	Prec@1 51.562 (51.602)	Prec@5 83.594 (81.264)
Epoch: [68][3350/14090]	Time 0.777 (0.764)	Data 0.001 (0.003)	Loss 1.9370 (1.8525)	Prec@1 50.000 (51.599)	Prec@5 78.906 (81.263)
Epoch: [68][3360/14090]	Time 0.870 (0.764)	Data 0.001 (0.003)	Loss 1.8551 (1.8522)	Prec@1 57.812 (51.608)	Prec@5 82.812 (81.270)
Epoch: [68][3370/14090]	Time 0.726 (0.764)	Data 0.001 (0.003)	Loss 1.4550 (1.8523)	Prec@1 62.500 (51.611)	Prec@5 87.500 (81.269)
Epoch: [68][3380/14090]	Time 0.720 (0.764)	Data 0.001 (0.003)	Loss 1.9919 (1.8523)	Prec@1 44.531 (51.611)	Prec@5 82.031 (81.265)
Epoch: [68][3390/14090]	Time 0.784 (0.764)	Data 0.001 (0.003)	Loss 1.6186 (1.8524)	Prec@1 58.594 (51.608)	Prec@5 84.375 (81.266)
Epoch: [68][3400/14090]	Time 0.747 (0.764)	Data 0.001 (0.003)	Loss 1.6696 (1.8522)	Prec@1 63.281 (51.610)	Prec@5 82.812 (81.271)
Epoch: [68][3410/14090]	Time 0.752 (0.764)	Data 0.001 (0.003)	Loss 2.1856 (1.8522)	Prec@1 41.406 (51.605)	Prec@5 80.469 (81.272)
Epoch: [68][3420/14090]	Time 0.738 (0.764)	Data 0.001 (0.003)	Loss 1.6252 (1.8521)	Prec@1 57.812 (51.608)	Prec@5 89.062 (81.275)
Epoch: [68][3430/14090]	Time 0.846 (0.764)	Data 0.001 (0.003)	Loss 1.8832 (1.8521)	Prec@1 52.344 (51.608)	Prec@5 78.125 (81.273)
Epoch: [68][3440/14090]	Time 0.776 (0.764)	Data 0.001 (0.003)	Loss 1.7077 (1.8521)	Prec@1 57.812 (51.607)	Prec@5 85.156 (81.272)
Epoch: [68][3450/14090]	Time 0.773 (0.764)	Data 0.001 (0.003)	Loss 2.0069 (1.8522)	Prec@1 50.000 (51.604)	Prec@5 82.812 (81.274)
Epoch: [68][3460/14090]	Time 0.728 (0.764)	Data 0.001 (0.003)	Loss 1.7620 (1.8523)	Prec@1 61.719 (51.600)	Prec@5 83.594 (81.271)
Epoch: [68][3470/14090]	Time 0.724 (0.764)	Data 0.001 (0.003)	Loss 1.7758 (1.8521)	Prec@1 49.219 (51.602)	Prec@5 85.156 (81.275)
Epoch: [68][3480/14090]	Time 0.728 (0.764)	Data 0.001 (0.003)	Loss 2.1800 (1.8523)	Prec@1 42.188 (51.597)	Prec@5 76.562 (81.271)
Epoch: [68][3490/14090]	Time 0.741 (0.764)	Data 0.001 (0.003)	Loss 1.8056 (1.8524)	Prec@1 52.344 (51.595)	Prec@5 82.031 (81.275)
Epoch: [68][3500/14090]	Time 0.861 (0.764)	Data 0.001 (0.003)	Loss 1.9331 (1.8522)	Prec@1 52.344 (51.598)	Prec@5 80.469 (81.275)
Epoch: [68][3510/14090]	Time 0.764 (0.764)	Data 0.001 (0.003)	Loss 1.9453 (1.8519)	Prec@1 48.438 (51.600)	Prec@5 75.781 (81.280)
Epoch: [68][3520/14090]	Time 0.721 (0.764)	Data 0.001 (0.003)	Loss 1.7852 (1.8522)	Prec@1 53.906 (51.594)	Prec@5 82.812 (81.276)
Epoch: [68][3530/14090]	Time 0.758 (0.764)	Data 0.001 (0.003)	Loss 1.8432 (1.8521)	Prec@1 55.469 (51.596)	Prec@5 79.688 (81.276)
Epoch: [68][3540/14090]	Time 0.723 (0.764)	Data 0.001 (0.003)	Loss 1.9543 (1.8523)	Prec@1 51.562 (51.595)	Prec@5 75.781 (81.273)
Epoch: [68][3550/14090]	Time 0.756 (0.764)	Data 0.001 (0.002)	Loss 1.7810 (1.8521)	Prec@1 56.250 (51.602)	Prec@5 81.250 (81.277)
Epoch: [68][3560/14090]	Time 0.729 (0.764)	Data 0.001 (0.002)	Loss 1.9116 (1.8518)	Prec@1 45.312 (51.604)	Prec@5 77.344 (81.281)
Epoch: [68][3570/14090]	Time 0.844 (0.764)	Data 0.001 (0.002)	Loss 1.8212 (1.8519)	Prec@1 50.000 (51.599)	Prec@5 82.031 (81.278)
Epoch: [68][3580/14090]	Time 0.733 (0.764)	Data 0.001 (0.002)	Loss 1.8695 (1.8518)	Prec@1 53.906 (51.602)	Prec@5 81.250 (81.279)
Epoch: [68][3590/14090]	Time 0.750 (0.764)	Data 0.001 (0.002)	Loss 2.0320 (1.8521)	Prec@1 51.562 (51.599)	Prec@5 78.906 (81.275)
Epoch: [68][3600/14090]	Time 0.741 (0.764)	Data 0.001 (0.002)	Loss 1.8910 (1.8521)	Prec@1 52.344 (51.601)	Prec@5 78.906 (81.273)
Epoch: [68][3610/14090]	Time 0.724 (0.764)	Data 0.001 (0.002)	Loss 1.7262 (1.8521)	Prec@1 51.562 (51.598)	Prec@5 83.594 (81.274)
Epoch: [68][3620/14090]	Time 0.753 (0.764)	Data 0.001 (0.002)	Loss 2.0066 (1.8520)	Prec@1 50.000 (51.596)	Prec@5 75.781 (81.273)
Epoch: [68][3630/14090]	Time 0.728 (0.764)	Data 0.001 (0.002)	Loss 1.6954 (1.8519)	Prec@1 58.594 (51.598)	Prec@5 82.031 (81.272)
Epoch: [68][3640/14090]	Time 0.853 (0.764)	Data 0.001 (0.002)	Loss 2.1299 (1.8520)	Prec@1 51.562 (51.599)	Prec@5 75.000 (81.271)
Epoch: [68][3650/14090]	Time 0.751 (0.764)	Data 0.001 (0.002)	Loss 1.8982 (1.8523)	Prec@1 52.344 (51.595)	Prec@5 78.906 (81.269)
Epoch: [68][3660/14090]	Time 0.732 (0.764)	Data 0.001 (0.002)	Loss 1.3976 (1.8521)	Prec@1 60.938 (51.597)	Prec@5 87.500 (81.272)
Epoch: [68][3670/14090]	Time 0.727 (0.764)	Data 0.001 (0.002)	Loss 1.9947 (1.8520)	Prec@1 43.750 (51.603)	Prec@5 82.812 (81.275)
Epoch: [68][3680/14090]	Time 0.751 (0.764)	Data 0.001 (0.002)	Loss 1.9666 (1.8521)	Prec@1 49.219 (51.600)	Prec@5 79.688 (81.274)
Epoch: [68][3690/14090]	Time 0.743 (0.764)	Data 0.001 (0.002)	Loss 2.1584 (1.8520)	Prec@1 46.094 (51.603)	Prec@5 76.562 (81.277)
Epoch: [68][3700/14090]	Time 0.779 (0.764)	Data 0.001 (0.002)	Loss 1.7818 (1.8521)	Prec@1 53.125 (51.599)	Prec@5 81.250 (81.276)
Epoch: [68][3710/14090]	Time 0.850 (0.764)	Data 0.001 (0.002)	Loss 1.8314 (1.8522)	Prec@1 45.312 (51.594)	Prec@5 87.500 (81.276)
Epoch: [68][3720/14090]	Time 0.746 (0.764)	Data 0.001 (0.002)	Loss 1.5981 (1.8521)	Prec@1 54.688 (51.599)	Prec@5 86.719 (81.280)
Epoch: [68][3730/14090]	Time 0.730 (0.764)	Data 0.001 (0.002)	Loss 1.5615 (1.8522)	Prec@1 60.156 (51.599)	Prec@5 84.375 (81.275)
Epoch: [68][3740/14090]	Time 0.773 (0.764)	Data 0.001 (0.002)	Loss 1.6369 (1.8522)	Prec@1 54.688 (51.600)	Prec@5 84.375 (81.275)
Epoch: [68][3750/14090]	Time 0.756 (0.764)	Data 0.001 (0.002)	Loss 1.9163 (1.8523)	Prec@1 52.344 (51.597)	Prec@5 80.469 (81.272)
Epoch: [68][3760/14090]	Time 0.724 (0.764)	Data 0.001 (0.002)	Loss 1.9528 (1.8523)	Prec@1 53.125 (51.598)	Prec@5 73.438 (81.267)
Epoch: [68][3770/14090]	Time 0.725 (0.763)	Data 0.001 (0.002)	Loss 1.7846 (1.8524)	Prec@1 50.781 (51.595)	Prec@5 82.812 (81.265)
Epoch: [68][3780/14090]	Time 0.879 (0.763)	Data 0.001 (0.002)	Loss 1.8509 (1.8523)	Prec@1 57.031 (51.598)	Prec@5 80.469 (81.268)
Epoch: [68][3790/14090]	Time 0.749 (0.763)	Data 0.001 (0.002)	Loss 1.5743 (1.8522)	Prec@1 57.812 (51.600)	Prec@5 85.938 (81.270)
Epoch: [68][3800/14090]	Time 0.779 (0.763)	Data 0.001 (0.002)	Loss 1.6243 (1.8521)	Prec@1 54.688 (51.599)	Prec@5 85.156 (81.272)
Epoch: [68][3810/14090]	Time 0.739 (0.763)	Data 0.001 (0.002)	Loss 1.7881 (1.8519)	Prec@1 53.906 (51.606)	Prec@5 84.375 (81.276)
Epoch: [68][3820/14090]	Time 0.762 (0.763)	Data 0.001 (0.002)	Loss 1.9633 (1.8521)	Prec@1 48.438 (51.600)	Prec@5 81.250 (81.272)
Epoch: [68][3830/14090]	Time 0.736 (0.763)	Data 0.001 (0.002)	Loss 1.8805 (1.8522)	Prec@1 46.875 (51.594)	Prec@5 82.812 (81.269)
Epoch: [68][3840/14090]	Time 0.777 (0.763)	Data 0.001 (0.002)	Loss 2.0708 (1.8522)	Prec@1 42.188 (51.593)	Prec@5 76.562 (81.272)
Epoch: [68][3850/14090]	Time 0.872 (0.763)	Data 0.001 (0.002)	Loss 1.8558 (1.8522)	Prec@1 46.875 (51.590)	Prec@5 79.688 (81.271)
Epoch: [68][3860/14090]	Time 0.729 (0.763)	Data 0.001 (0.002)	Loss 2.1267 (1.8521)	Prec@1 45.312 (51.590)	Prec@5 79.688 (81.274)
Epoch: [68][3870/14090]	Time 0.732 (0.763)	Data 0.001 (0.002)	Loss 2.0928 (1.8523)	Prec@1 47.656 (51.586)	Prec@5 75.781 (81.270)
Epoch: [68][3880/14090]	Time 0.748 (0.763)	Data 0.001 (0.002)	Loss 1.9044 (1.8525)	Prec@1 51.562 (51.584)	Prec@5 82.812 (81.270)
Epoch: [68][3890/14090]	Time 0.763 (0.763)	Data 0.001 (0.002)	Loss 2.1196 (1.8527)	Prec@1 48.438 (51.583)	Prec@5 75.781 (81.264)
Epoch: [68][3900/14090]	Time 0.728 (0.763)	Data 0.001 (0.002)	Loss 1.8012 (1.8527)	Prec@1 52.344 (51.582)	Prec@5 82.031 (81.263)
Epoch: [68][3910/14090]	Time 0.738 (0.763)	Data 0.001 (0.002)	Loss 1.9601 (1.8528)	Prec@1 52.344 (51.577)	Prec@5 75.000 (81.262)
Epoch: [68][3920/14090]	Time 0.875 (0.763)	Data 0.001 (0.002)	Loss 1.7814 (1.8528)	Prec@1 54.688 (51.575)	Prec@5 83.594 (81.262)
Epoch: [68][3930/14090]	Time 0.732 (0.763)	Data 0.001 (0.002)	Loss 2.2529 (1.8528)	Prec@1 43.750 (51.579)	Prec@5 73.438 (81.257)
Epoch: [68][3940/14090]	Time 0.742 (0.763)	Data 0.001 (0.002)	Loss 1.8733 (1.8531)	Prec@1 53.125 (51.577)	Prec@5 81.250 (81.255)
Epoch: [68][3950/14090]	Time 0.750 (0.763)	Data 0.001 (0.002)	Loss 1.9336 (1.8531)	Prec@1 53.906 (51.578)	Prec@5 82.812 (81.255)
Epoch: [68][3960/14090]	Time 0.736 (0.763)	Data 0.001 (0.002)	Loss 1.6979 (1.8531)	Prec@1 51.562 (51.575)	Prec@5 82.812 (81.256)
Epoch: [68][3970/14090]	Time 0.767 (0.763)	Data 0.001 (0.002)	Loss 1.8016 (1.8530)	Prec@1 51.562 (51.576)	Prec@5 82.031 (81.256)
Epoch: [68][3980/14090]	Time 0.761 (0.763)	Data 0.001 (0.002)	Loss 2.1459 (1.8530)	Prec@1 44.531 (51.576)	Prec@5 75.781 (81.257)
Epoch: [68][3990/14090]	Time 0.868 (0.763)	Data 0.001 (0.002)	Loss 1.8672 (1.8532)	Prec@1 51.562 (51.571)	Prec@5 84.375 (81.253)
Epoch: [68][4000/14090]	Time 0.737 (0.763)	Data 0.001 (0.002)	Loss 1.8689 (1.8534)	Prec@1 53.906 (51.565)	Prec@5 81.250 (81.249)
Epoch: [68][4010/14090]	Time 0.730 (0.763)	Data 0.001 (0.002)	Loss 1.5556 (1.8534)	Prec@1 63.281 (51.569)	Prec@5 88.281 (81.251)
Epoch: [68][4020/14090]	Time 0.733 (0.763)	Data 0.001 (0.002)	Loss 2.1238 (1.8534)	Prec@1 45.312 (51.569)	Prec@5 76.562 (81.249)
Epoch: [68][4030/14090]	Time 0.752 (0.763)	Data 0.001 (0.002)	Loss 2.1738 (1.8534)	Prec@1 43.750 (51.566)	Prec@5 77.344 (81.248)
Epoch: [68][4040/14090]	Time 0.740 (0.763)	Data 0.001 (0.002)	Loss 1.7923 (1.8534)	Prec@1 53.125 (51.566)	Prec@5 85.156 (81.247)
Epoch: [68][4050/14090]	Time 0.732 (0.763)	Data 0.001 (0.002)	Loss 1.6428 (1.8535)	Prec@1 52.344 (51.562)	Prec@5 82.812 (81.243)
Epoch: [68][4060/14090]	Time 0.876 (0.763)	Data 0.001 (0.002)	Loss 2.0003 (1.8535)	Prec@1 50.781 (51.562)	Prec@5 76.562 (81.242)
Epoch: [68][4070/14090]	Time 0.755 (0.763)	Data 0.001 (0.002)	Loss 2.1246 (1.8535)	Prec@1 43.750 (51.567)	Prec@5 75.781 (81.239)
Epoch: [68][4080/14090]	Time 0.755 (0.763)	Data 0.001 (0.002)	Loss 1.8026 (1.8537)	Prec@1 52.344 (51.560)	Prec@5 82.031 (81.236)
Epoch: [68][4090/14090]	Time 0.721 (0.763)	Data 0.001 (0.002)	Loss 2.2060 (1.8537)	Prec@1 42.969 (51.559)	Prec@5 74.219 (81.237)
Epoch: [68][4100/14090]	Time 0.732 (0.763)	Data 0.001 (0.002)	Loss 1.6681 (1.8539)	Prec@1 50.000 (51.550)	Prec@5 84.375 (81.234)
Epoch: [68][4110/14090]	Time 0.758 (0.763)	Data 0.001 (0.002)	Loss 1.7753 (1.8539)	Prec@1 53.125 (51.550)	Prec@5 80.469 (81.233)
Epoch: [68][4120/14090]	Time 0.766 (0.763)	Data 0.001 (0.002)	Loss 1.8036 (1.8540)	Prec@1 48.438 (51.548)	Prec@5 81.250 (81.231)
Epoch: [68][4130/14090]	Time 0.850 (0.763)	Data 0.001 (0.002)	Loss 1.8502 (1.8539)	Prec@1 53.906 (51.547)	Prec@5 81.250 (81.234)
Epoch: [68][4140/14090]	Time 0.735 (0.763)	Data 0.001 (0.002)	Loss 2.0425 (1.8540)	Prec@1 48.438 (51.545)	Prec@5 76.562 (81.232)
Epoch: [68][4150/14090]	Time 0.739 (0.763)	Data 0.001 (0.002)	Loss 1.5944 (1.8540)	Prec@1 60.156 (51.544)	Prec@5 85.156 (81.234)
Epoch: [68][4160/14090]	Time 0.744 (0.763)	Data 0.001 (0.002)	Loss 1.7805 (1.8540)	Prec@1 57.812 (51.544)	Prec@5 82.812 (81.233)
Epoch: [68][4170/14090]	Time 0.756 (0.763)	Data 0.001 (0.002)	Loss 1.8289 (1.8537)	Prec@1 57.031 (51.552)	Prec@5 80.469 (81.237)
Epoch: [68][4180/14090]	Time 0.753 (0.763)	Data 0.001 (0.002)	Loss 1.8092 (1.8536)	Prec@1 51.562 (51.549)	Prec@5 86.719 (81.237)
Epoch: [68][4190/14090]	Time 0.728 (0.763)	Data 0.001 (0.002)	Loss 2.0967 (1.8539)	Prec@1 48.438 (51.540)	Prec@5 78.125 (81.233)
Epoch: [68][4200/14090]	Time 0.865 (0.763)	Data 0.001 (0.002)	Loss 1.9073 (1.8539)	Prec@1 42.188 (51.534)	Prec@5 81.250 (81.234)
Epoch: [68][4210/14090]	Time 0.725 (0.763)	Data 0.001 (0.002)	Loss 1.7127 (1.8540)	Prec@1 47.656 (51.532)	Prec@5 85.156 (81.234)
Epoch: [68][4220/14090]	Time 0.746 (0.763)	Data 0.001 (0.002)	Loss 1.8343 (1.8540)	Prec@1 58.594 (51.536)	Prec@5 83.594 (81.234)
Epoch: [68][4230/14090]	Time 0.771 (0.763)	Data 0.001 (0.002)	Loss 1.8052 (1.8541)	Prec@1 50.781 (51.534)	Prec@5 82.031 (81.233)
Epoch: [68][4240/14090]	Time 0.728 (0.763)	Data 0.001 (0.002)	Loss 1.6521 (1.8540)	Prec@1 55.469 (51.535)	Prec@5 86.719 (81.237)
Epoch: [68][4250/14090]	Time 0.748 (0.763)	Data 0.001 (0.002)	Loss 1.7861 (1.8540)	Prec@1 51.562 (51.534)	Prec@5 80.469 (81.234)
Epoch: [68][4260/14090]	Time 0.728 (0.763)	Data 0.001 (0.002)	Loss 2.1365 (1.8539)	Prec@1 50.781 (51.537)	Prec@5 75.000 (81.236)
Epoch: [68][4270/14090]	Time 0.856 (0.763)	Data 0.001 (0.002)	Loss 1.8469 (1.8539)	Prec@1 47.656 (51.540)	Prec@5 82.031 (81.237)
Epoch: [68][4280/14090]	Time 0.730 (0.763)	Data 0.001 (0.002)	Loss 1.9053 (1.8540)	Prec@1 50.000 (51.536)	Prec@5 81.250 (81.234)
Epoch: [68][4290/14090]	Time 0.732 (0.763)	Data 0.001 (0.002)	Loss 2.0641 (1.8538)	Prec@1 45.312 (51.542)	Prec@5 76.562 (81.237)
Epoch: [68][4300/14090]	Time 0.754 (0.763)	Data 0.001 (0.002)	Loss 1.9935 (1.8537)	Prec@1 46.094 (51.541)	Prec@5 79.688 (81.239)
Epoch: [68][4310/14090]	Time 0.738 (0.763)	Data 0.001 (0.002)	Loss 1.7757 (1.8536)	Prec@1 56.250 (51.543)	Prec@5 85.156 (81.240)
Epoch: [68][4320/14090]	Time 0.770 (0.763)	Data 0.001 (0.002)	Loss 1.8404 (1.8538)	Prec@1 46.094 (51.535)	Prec@5 78.125 (81.235)
Epoch: [68][4330/14090]	Time 0.727 (0.763)	Data 0.001 (0.002)	Loss 1.9101 (1.8538)	Prec@1 53.125 (51.537)	Prec@5 82.031 (81.233)
Epoch: [68][4340/14090]	Time 0.818 (0.763)	Data 0.001 (0.002)	Loss 1.8451 (1.8538)	Prec@1 55.469 (51.540)	Prec@5 82.031 (81.235)
Epoch: [68][4350/14090]	Time 0.746 (0.763)	Data 0.001 (0.002)	Loss 1.9478 (1.8538)	Prec@1 50.781 (51.538)	Prec@5 82.031 (81.234)
Epoch: [68][4360/14090]	Time 0.766 (0.763)	Data 0.001 (0.002)	Loss 1.4479 (1.8538)	Prec@1 62.500 (51.542)	Prec@5 87.500 (81.233)
Epoch: [68][4370/14090]	Time 0.723 (0.763)	Data 0.001 (0.002)	Loss 1.6760 (1.8537)	Prec@1 53.906 (51.545)	Prec@5 82.812 (81.234)
Epoch: [68][4380/14090]	Time 0.778 (0.763)	Data 0.001 (0.002)	Loss 1.8286 (1.8537)	Prec@1 49.219 (51.541)	Prec@5 83.594 (81.234)
Epoch: [68][4390/14090]	Time 0.745 (0.763)	Data 0.001 (0.002)	Loss 1.7965 (1.8538)	Prec@1 54.688 (51.541)	Prec@5 83.594 (81.235)
Epoch: [68][4400/14090]	Time 0.731 (0.763)	Data 0.001 (0.002)	Loss 1.8447 (1.8538)	Prec@1 48.438 (51.541)	Prec@5 80.469 (81.235)
Epoch: [68][4410/14090]	Time 0.849 (0.763)	Data 0.001 (0.002)	Loss 1.8252 (1.8536)	Prec@1 53.906 (51.542)	Prec@5 79.688 (81.236)
Epoch: [68][4420/14090]	Time 0.752 (0.763)	Data 0.001 (0.002)	Loss 1.7924 (1.8537)	Prec@1 52.344 (51.541)	Prec@5 81.250 (81.233)
Epoch: [68][4430/14090]	Time 0.728 (0.763)	Data 0.001 (0.002)	Loss 1.9860 (1.8536)	Prec@1 46.094 (51.544)	Prec@5 79.688 (81.235)
Epoch: [68][4440/14090]	Time 0.723 (0.763)	Data 0.001 (0.002)	Loss 1.8887 (1.8537)	Prec@1 52.344 (51.540)	Prec@5 78.906 (81.234)
Epoch: [68][4450/14090]	Time 0.756 (0.763)	Data 0.001 (0.002)	Loss 1.7662 (1.8537)	Prec@1 52.344 (51.541)	Prec@5 85.156 (81.235)
Epoch: [68][4460/14090]	Time 0.754 (0.763)	Data 0.001 (0.002)	Loss 1.7910 (1.8536)	Prec@1 52.344 (51.543)	Prec@5 84.375 (81.236)
Epoch: [68][4470/14090]	Time 0.734 (0.763)	Data 0.001 (0.002)	Loss 1.6746 (1.8535)	Prec@1 53.125 (51.540)	Prec@5 85.156 (81.238)
Epoch: [68][4480/14090]	Time 0.826 (0.763)	Data 0.001 (0.002)	Loss 1.8179 (1.8535)	Prec@1 50.781 (51.540)	Prec@5 80.469 (81.238)
Epoch: [68][4490/14090]	Time 0.722 (0.763)	Data 0.001 (0.002)	Loss 1.7484 (1.8535)	Prec@1 60.938 (51.546)	Prec@5 82.031 (81.240)
Epoch: [68][4500/14090]	Time 0.721 (0.763)	Data 0.001 (0.002)	Loss 1.6188 (1.8535)	Prec@1 53.906 (51.547)	Prec@5 84.375 (81.240)
Epoch: [68][4510/14090]	Time 0.769 (0.763)	Data 0.001 (0.002)	Loss 1.5633 (1.8535)	Prec@1 57.031 (51.550)	Prec@5 85.156 (81.240)
Epoch: [68][4520/14090]	Time 0.731 (0.763)	Data 0.001 (0.002)	Loss 1.8140 (1.8536)	Prec@1 53.906 (51.549)	Prec@5 77.344 (81.238)
Epoch: [68][4530/14090]	Time 0.745 (0.763)	Data 0.001 (0.002)	Loss 1.7432 (1.8534)	Prec@1 56.250 (51.551)	Prec@5 82.812 (81.243)
Epoch: [68][4540/14090]	Time 0.750 (0.763)	Data 0.001 (0.002)	Loss 2.0422 (1.8534)	Prec@1 46.875 (51.551)	Prec@5 76.562 (81.244)
Epoch: [68][4550/14090]	Time 0.886 (0.763)	Data 0.001 (0.002)	Loss 1.9570 (1.8533)	Prec@1 51.562 (51.554)	Prec@5 76.562 (81.247)
Epoch: [68][4560/14090]	Time 0.752 (0.763)	Data 0.001 (0.002)	Loss 2.0091 (1.8537)	Prec@1 49.219 (51.546)	Prec@5 78.125 (81.241)
Epoch: [68][4570/14090]	Time 0.726 (0.763)	Data 0.001 (0.002)	Loss 1.5990 (1.8535)	Prec@1 62.500 (51.549)	Prec@5 88.281 (81.240)
Epoch: [68][4580/14090]	Time 0.744 (0.763)	Data 0.001 (0.002)	Loss 2.1365 (1.8536)	Prec@1 40.625 (51.544)	Prec@5 78.125 (81.238)
Epoch: [68][4590/14090]	Time 0.748 (0.763)	Data 0.001 (0.002)	Loss 1.6723 (1.8535)	Prec@1 49.219 (51.548)	Prec@5 82.812 (81.241)
Epoch: [68][4600/14090]	Time 0.748 (0.763)	Data 0.001 (0.002)	Loss 1.6767 (1.8535)	Prec@1 59.375 (51.551)	Prec@5 86.719 (81.241)
Epoch: [68][4610/14090]	Time 0.731 (0.763)	Data 0.001 (0.002)	Loss 2.1726 (1.8536)	Prec@1 43.750 (51.549)	Prec@5 76.562 (81.240)
Epoch: [68][4620/14090]	Time 0.853 (0.763)	Data 0.001 (0.002)	Loss 1.8862 (1.8537)	Prec@1 52.344 (51.550)	Prec@5 77.344 (81.236)
Epoch: [68][4630/14090]	Time 0.721 (0.763)	Data 0.001 (0.002)	Loss 1.6438 (1.8536)	Prec@1 53.125 (51.554)	Prec@5 85.938 (81.238)
Epoch: [68][4640/14090]	Time 0.732 (0.763)	Data 0.001 (0.002)	Loss 1.9347 (1.8535)	Prec@1 50.000 (51.556)	Prec@5 81.250 (81.237)
Epoch: [68][4650/14090]	Time 0.780 (0.763)	Data 0.001 (0.002)	Loss 1.8365 (1.8535)	Prec@1 53.906 (51.560)	Prec@5 78.125 (81.233)
Epoch: [68][4660/14090]	Time 0.764 (0.763)	Data 0.001 (0.002)	Loss 1.9029 (1.8534)	Prec@1 54.688 (51.562)	Prec@5 78.906 (81.235)
Epoch: [68][4670/14090]	Time 0.743 (0.763)	Data 0.001 (0.002)	Loss 1.8082 (1.8534)	Prec@1 50.000 (51.563)	Prec@5 83.594 (81.234)
Epoch: [68][4680/14090]	Time 0.736 (0.763)	Data 0.001 (0.002)	Loss 1.5745 (1.8534)	Prec@1 60.156 (51.565)	Prec@5 83.594 (81.233)
Epoch: [68][4690/14090]	Time 0.838 (0.763)	Data 0.001 (0.002)	Loss 2.0059 (1.8534)	Prec@1 49.219 (51.565)	Prec@5 82.031 (81.235)
Epoch: [68][4700/14090]	Time 0.738 (0.763)	Data 0.001 (0.002)	Loss 1.6709 (1.8533)	Prec@1 57.031 (51.564)	Prec@5 82.812 (81.237)
Epoch: [68][4710/14090]	Time 0.724 (0.763)	Data 0.001 (0.002)	Loss 1.8285 (1.8535)	Prec@1 53.906 (51.561)	Prec@5 82.031 (81.233)
Epoch: [68][4720/14090]	Time 0.782 (0.763)	Data 0.001 (0.002)	Loss 2.0996 (1.8535)	Prec@1 47.656 (51.562)	Prec@5 79.688 (81.233)
Epoch: [68][4730/14090]	Time 0.726 (0.763)	Data 0.001 (0.002)	Loss 1.8960 (1.8535)	Prec@1 55.469 (51.562)	Prec@5 78.125 (81.232)
Epoch: [68][4740/14090]	Time 0.733 (0.763)	Data 0.001 (0.002)	Loss 1.8022 (1.8535)	Prec@1 54.688 (51.562)	Prec@5 80.469 (81.232)
Epoch: [68][4750/14090]	Time 0.738 (0.763)	Data 0.001 (0.002)	Loss 1.9179 (1.8535)	Prec@1 53.125 (51.560)	Prec@5 82.031 (81.233)
Epoch: [68][4760/14090]	Time 0.835 (0.763)	Data 0.001 (0.002)	Loss 1.8146 (1.8536)	Prec@1 57.031 (51.562)	Prec@5 80.469 (81.231)
Epoch: [68][4770/14090]	Time 0.743 (0.763)	Data 0.001 (0.002)	Loss 1.8504 (1.8535)	Prec@1 50.000 (51.564)	Prec@5 78.906 (81.231)
Epoch: [68][4780/14090]	Time 0.731 (0.763)	Data 0.001 (0.002)	Loss 1.7442 (1.8536)	Prec@1 54.688 (51.561)	Prec@5 84.375 (81.229)
Epoch: [68][4790/14090]	Time 0.765 (0.763)	Data 0.001 (0.002)	Loss 1.7647 (1.8536)	Prec@1 53.906 (51.562)	Prec@5 83.594 (81.228)
Epoch: [68][4800/14090]	Time 0.753 (0.763)	Data 0.001 (0.002)	Loss 1.7659 (1.8536)	Prec@1 54.688 (51.564)	Prec@5 81.250 (81.229)
Epoch: [68][4810/14090]	Time 0.753 (0.763)	Data 0.001 (0.002)	Loss 1.9014 (1.8536)	Prec@1 50.781 (51.562)	Prec@5 78.125 (81.229)
Epoch: [68][4820/14090]	Time 0.770 (0.763)	Data 0.001 (0.002)	Loss 2.0721 (1.8536)	Prec@1 44.531 (51.559)	Prec@5 75.781 (81.229)
Epoch: [68][4830/14090]	Time 0.854 (0.763)	Data 0.001 (0.002)	Loss 1.6919 (1.8537)	Prec@1 60.156 (51.557)	Prec@5 82.812 (81.230)
Epoch: [68][4840/14090]	Time 0.739 (0.763)	Data 0.001 (0.002)	Loss 1.9523 (1.8540)	Prec@1 47.656 (51.551)	Prec@5 79.688 (81.225)
Epoch: [68][4850/14090]	Time 0.745 (0.763)	Data 0.001 (0.002)	Loss 1.6047 (1.8538)	Prec@1 56.250 (51.553)	Prec@5 82.031 (81.227)
Epoch: [68][4860/14090]	Time 0.723 (0.763)	Data 0.001 (0.002)	Loss 1.7458 (1.8539)	Prec@1 56.250 (51.548)	Prec@5 85.156 (81.227)
Epoch: [68][4870/14090]	Time 0.726 (0.763)	Data 0.001 (0.002)	Loss 1.9564 (1.8541)	Prec@1 52.344 (51.546)	Prec@5 80.469 (81.224)
Epoch: [68][4880/14090]	Time 0.752 (0.763)	Data 0.001 (0.002)	Loss 2.2439 (1.8540)	Prec@1 43.750 (51.546)	Prec@5 77.344 (81.225)
Epoch: [68][4890/14090]	Time 0.740 (0.763)	Data 0.001 (0.002)	Loss 2.4165 (1.8542)	Prec@1 45.312 (51.547)	Prec@5 72.656 (81.223)
Epoch: [68][4900/14090]	Time 0.885 (0.763)	Data 0.001 (0.002)	Loss 1.5506 (1.8541)	Prec@1 60.156 (51.551)	Prec@5 85.156 (81.224)
Epoch: [68][4910/14090]	Time 0.729 (0.763)	Data 0.001 (0.002)	Loss 2.0723 (1.8541)	Prec@1 47.656 (51.549)	Prec@5 75.781 (81.222)
Epoch: [68][4920/14090]	Time 0.732 (0.763)	Data 0.001 (0.002)	Loss 1.9258 (1.8542)	Prec@1 46.875 (51.546)	Prec@5 80.469 (81.221)
Epoch: [68][4930/14090]	Time 0.748 (0.763)	Data 0.001 (0.002)	Loss 1.8631 (1.8541)	Prec@1 45.312 (51.545)	Prec@5 83.594 (81.222)
Epoch: [68][4940/14090]	Time 0.749 (0.763)	Data 0.001 (0.002)	Loss 1.8984 (1.8542)	Prec@1 51.562 (51.542)	Prec@5 79.688 (81.221)
Epoch: [68][4950/14090]	Time 0.763 (0.763)	Data 0.001 (0.002)	Loss 1.8903 (1.8544)	Prec@1 51.562 (51.539)	Prec@5 80.469 (81.219)
Epoch: [68][4960/14090]	Time 0.773 (0.763)	Data 0.001 (0.002)	Loss 1.6660 (1.8543)	Prec@1 52.344 (51.540)	Prec@5 83.594 (81.221)
Epoch: [68][4970/14090]	Time 0.851 (0.763)	Data 0.001 (0.002)	Loss 1.8741 (1.8543)	Prec@1 54.688 (51.542)	Prec@5 81.250 (81.219)
Epoch: [68][4980/14090]	Time 0.726 (0.763)	Data 0.001 (0.002)	Loss 1.7884 (1.8541)	Prec@1 51.562 (51.546)	Prec@5 82.031 (81.222)
Epoch: [68][4990/14090]	Time 0.725 (0.763)	Data 0.001 (0.002)	Loss 1.9440 (1.8541)	Prec@1 49.219 (51.548)	Prec@5 85.938 (81.223)
Epoch: [68][5000/14090]	Time 0.733 (0.763)	Data 0.001 (0.002)	Loss 1.7841 (1.8542)	Prec@1 60.156 (51.549)	Prec@5 81.250 (81.220)
Epoch: [68][5010/14090]	Time 0.720 (0.763)	Data 0.001 (0.002)	Loss 1.6477 (1.8542)	Prec@1 57.031 (51.549)	Prec@5 85.156 (81.222)
Epoch: [68][5020/14090]	Time 0.763 (0.763)	Data 0.001 (0.002)	Loss 1.8686 (1.8541)	Prec@1 53.125 (51.549)	Prec@5 81.250 (81.221)
Epoch: [68][5030/14090]	Time 0.773 (0.763)	Data 0.001 (0.002)	Loss 1.8949 (1.8540)	Prec@1 51.562 (51.553)	Prec@5 78.125 (81.223)
Epoch: [68][5040/14090]	Time 0.846 (0.763)	Data 0.001 (0.002)	Loss 1.6493 (1.8540)	Prec@1 58.594 (51.555)	Prec@5 81.250 (81.224)
Epoch: [68][5050/14090]	Time 0.734 (0.763)	Data 0.001 (0.002)	Loss 1.7584 (1.8539)	Prec@1 56.250 (51.559)	Prec@5 85.938 (81.226)
Epoch: [68][5060/14090]	Time 0.725 (0.763)	Data 0.001 (0.002)	Loss 1.5203 (1.8538)	Prec@1 64.062 (51.561)	Prec@5 83.594 (81.227)
Epoch: [68][5070/14090]	Time 0.748 (0.763)	Data 0.001 (0.002)	Loss 1.8562 (1.8538)	Prec@1 52.344 (51.563)	Prec@5 83.594 (81.225)
Epoch: [68][5080/14090]	Time 0.731 (0.763)	Data 0.001 (0.002)	Loss 1.7130 (1.8541)	Prec@1 57.031 (51.557)	Prec@5 82.031 (81.221)
Epoch: [68][5090/14090]	Time 0.763 (0.763)	Data 0.001 (0.002)	Loss 2.1184 (1.8540)	Prec@1 47.656 (51.557)	Prec@5 76.562 (81.222)
Epoch: [68][5100/14090]	Time 0.732 (0.763)	Data 0.001 (0.002)	Loss 2.0572 (1.8542)	Prec@1 51.562 (51.557)	Prec@5 77.344 (81.219)
Epoch: [68][5110/14090]	Time 0.876 (0.763)	Data 0.001 (0.002)	Loss 1.5919 (1.8541)	Prec@1 57.031 (51.560)	Prec@5 85.156 (81.219)
Epoch: [68][5120/14090]	Time 0.743 (0.763)	Data 0.001 (0.002)	Loss 1.5596 (1.8539)	Prec@1 56.250 (51.563)	Prec@5 83.594 (81.222)
Epoch: [68][5130/14090]	Time 0.722 (0.763)	Data 0.001 (0.002)	Loss 1.7882 (1.8539)	Prec@1 57.812 (51.569)	Prec@5 82.031 (81.222)
Epoch: [68][5140/14090]	Time 0.780 (0.763)	Data 0.001 (0.002)	Loss 1.7469 (1.8539)	Prec@1 55.469 (51.568)	Prec@5 83.594 (81.222)
Epoch: [68][5150/14090]	Time 0.750 (0.763)	Data 0.001 (0.002)	Loss 1.8568 (1.8540)	Prec@1 54.688 (51.567)	Prec@5 77.344 (81.221)
Epoch: [68][5160/14090]	Time 0.735 (0.763)	Data 0.001 (0.002)	Loss 1.8116 (1.8540)	Prec@1 53.906 (51.570)	Prec@5 85.156 (81.218)
Epoch: [68][5170/14090]	Time 0.751 (0.763)	Data 0.001 (0.002)	Loss 1.6980 (1.8539)	Prec@1 56.250 (51.571)	Prec@5 87.500 (81.223)
Epoch: [68][5180/14090]	Time 0.838 (0.763)	Data 0.001 (0.002)	Loss 2.0189 (1.8537)	Prec@1 53.125 (51.575)	Prec@5 76.562 (81.223)
Epoch: [68][5190/14090]	Time 0.741 (0.763)	Data 0.001 (0.002)	Loss 1.8443 (1.8537)	Prec@1 53.906 (51.572)	Prec@5 81.250 (81.224)
Epoch: [68][5200/14090]	Time 0.741 (0.763)	Data 0.001 (0.002)	Loss 1.7794 (1.8537)	Prec@1 54.688 (51.574)	Prec@5 83.594 (81.227)
Epoch: [68][5210/14090]	Time 0.778 (0.763)	Data 0.001 (0.002)	Loss 1.8990 (1.8538)	Prec@1 53.906 (51.573)	Prec@5 79.688 (81.225)
Epoch: [68][5220/14090]	Time 0.774 (0.763)	Data 0.001 (0.002)	Loss 1.8957 (1.8538)	Prec@1 53.125 (51.575)	Prec@5 79.688 (81.227)
Epoch: [68][5230/14090]	Time 0.721 (0.763)	Data 0.001 (0.002)	Loss 1.9376 (1.8539)	Prec@1 50.781 (51.569)	Prec@5 75.781 (81.223)
Epoch: [68][5240/14090]	Time 0.740 (0.763)	Data 0.001 (0.002)	Loss 1.9366 (1.8539)	Prec@1 46.875 (51.569)	Prec@5 79.688 (81.222)
Epoch: [68][5250/14090]	Time 0.854 (0.763)	Data 0.001 (0.002)	Loss 1.8026 (1.8539)	Prec@1 50.781 (51.570)	Prec@5 84.375 (81.223)
Epoch: [68][5260/14090]	Time 0.738 (0.763)	Data 0.001 (0.002)	Loss 1.5621 (1.8537)	Prec@1 60.938 (51.572)	Prec@5 85.938 (81.228)
Epoch: [68][5270/14090]	Time 0.733 (0.763)	Data 0.001 (0.002)	Loss 1.9689 (1.8539)	Prec@1 48.438 (51.566)	Prec@5 78.125 (81.223)
Epoch: [68][5280/14090]	Time 0.739 (0.763)	Data 0.001 (0.002)	Loss 1.9545 (1.8540)	Prec@1 50.000 (51.562)	Prec@5 83.594 (81.219)
Epoch: [68][5290/14090]	Time 0.745 (0.763)	Data 0.001 (0.002)	Loss 2.0112 (1.8539)	Prec@1 48.438 (51.566)	Prec@5 75.781 (81.219)
Epoch: [68][5300/14090]	Time 0.751 (0.763)	Data 0.001 (0.002)	Loss 1.9100 (1.8539)	Prec@1 48.438 (51.565)	Prec@5 80.469 (81.219)
Epoch: [68][5310/14090]	Time 0.753 (0.763)	Data 0.001 (0.002)	Loss 1.9562 (1.8539)	Prec@1 54.688 (51.564)	Prec@5 80.469 (81.221)
Epoch: [68][5320/14090]	Time 0.863 (0.763)	Data 0.001 (0.002)	Loss 2.0144 (1.8539)	Prec@1 55.469 (51.562)	Prec@5 76.562 (81.222)
Epoch: [68][5330/14090]	Time 0.748 (0.763)	Data 0.001 (0.002)	Loss 1.6452 (1.8537)	Prec@1 53.906 (51.566)	Prec@5 84.375 (81.227)
Epoch: [68][5340/14090]	Time 0.781 (0.763)	Data 0.001 (0.002)	Loss 1.7557 (1.8536)	Prec@1 57.031 (51.569)	Prec@5 80.469 (81.231)
Epoch: [68][5350/14090]	Time 0.724 (0.763)	Data 0.001 (0.002)	Loss 1.8184 (1.8538)	Prec@1 54.688 (51.567)	Prec@5 82.031 (81.225)
Epoch: [68][5360/14090]	Time 0.732 (0.763)	Data 0.001 (0.002)	Loss 1.7506 (1.8538)	Prec@1 57.812 (51.564)	Prec@5 83.594 (81.225)
Epoch: [68][5370/14090]	Time 0.732 (0.763)	Data 0.001 (0.002)	Loss 1.7564 (1.8540)	Prec@1 51.562 (51.560)	Prec@5 85.156 (81.222)
Epoch: [68][5380/14090]	Time 0.722 (0.763)	Data 0.001 (0.002)	Loss 2.1968 (1.8541)	Prec@1 42.969 (51.558)	Prec@5 81.250 (81.221)
Epoch: [68][5390/14090]	Time 0.864 (0.763)	Data 0.001 (0.002)	Loss 1.8979 (1.8540)	Prec@1 49.219 (51.560)	Prec@5 78.906 (81.223)
Epoch: [68][5400/14090]	Time 0.725 (0.763)	Data 0.001 (0.002)	Loss 1.7818 (1.8541)	Prec@1 56.250 (51.559)	Prec@5 81.250 (81.224)
Epoch: [68][5410/14090]	Time 0.774 (0.763)	Data 0.001 (0.002)	Loss 1.7396 (1.8542)	Prec@1 50.781 (51.558)	Prec@5 81.250 (81.223)
Epoch: [68][5420/14090]	Time 0.734 (0.763)	Data 0.001 (0.002)	Loss 1.7742 (1.8541)	Prec@1 58.594 (51.561)	Prec@5 82.031 (81.227)
Epoch: [68][5430/14090]	Time 0.740 (0.763)	Data 0.001 (0.002)	Loss 2.0798 (1.8541)	Prec@1 51.562 (51.562)	Prec@5 75.781 (81.226)
Epoch: [68][5440/14090]	Time 0.727 (0.763)	Data 0.001 (0.002)	Loss 1.7733 (1.8541)	Prec@1 59.375 (51.562)	Prec@5 82.812 (81.227)
Epoch: [68][5450/14090]	Time 0.742 (0.763)	Data 0.001 (0.002)	Loss 1.7579 (1.8540)	Prec@1 58.594 (51.567)	Prec@5 82.031 (81.229)
Epoch: [68][5460/14090]	Time 0.843 (0.763)	Data 0.001 (0.002)	Loss 1.7963 (1.8541)	Prec@1 52.344 (51.566)	Prec@5 83.594 (81.226)
Epoch: [68][5470/14090]	Time 0.750 (0.763)	Data 0.001 (0.002)	Loss 2.0914 (1.8540)	Prec@1 40.625 (51.565)	Prec@5 80.469 (81.230)
Epoch: [68][5480/14090]	Time 0.758 (0.763)	Data 0.001 (0.002)	Loss 1.8286 (1.8540)	Prec@1 58.594 (51.565)	Prec@5 76.562 (81.228)
Epoch: [68][5490/14090]	Time 0.742 (0.763)	Data 0.001 (0.002)	Loss 1.9907 (1.8541)	Prec@1 47.656 (51.563)	Prec@5 76.562 (81.228)
Epoch: [68][5500/14090]	Time 0.774 (0.763)	Data 0.001 (0.002)	Loss 1.8831 (1.8541)	Prec@1 50.000 (51.564)	Prec@5 81.250 (81.228)
Epoch: [68][5510/14090]	Time 0.736 (0.763)	Data 0.001 (0.002)	Loss 1.8162 (1.8541)	Prec@1 51.562 (51.562)	Prec@5 82.031 (81.228)
Epoch: [68][5520/14090]	Time 0.734 (0.763)	Data 0.001 (0.002)	Loss 2.0151 (1.8540)	Prec@1 46.094 (51.565)	Prec@5 79.688 (81.231)
Epoch: [68][5530/14090]	Time 0.869 (0.763)	Data 0.001 (0.002)	Loss 1.9026 (1.8540)	Prec@1 51.562 (51.563)	Prec@5 78.125 (81.231)
Epoch: [68][5540/14090]	Time 0.739 (0.763)	Data 0.001 (0.002)	Loss 1.8045 (1.8539)	Prec@1 52.344 (51.566)	Prec@5 82.812 (81.233)
Epoch: [68][5550/14090]	Time 0.739 (0.763)	Data 0.001 (0.002)	Loss 1.8898 (1.8540)	Prec@1 50.781 (51.564)	Prec@5 81.250 (81.232)
Epoch: [68][5560/14090]	Time 0.729 (0.763)	Data 0.001 (0.002)	Loss 1.9627 (1.8541)	Prec@1 50.000 (51.563)	Prec@5 79.688 (81.229)
Epoch: [68][5570/14090]	Time 0.730 (0.763)	Data 0.001 (0.002)	Loss 1.6077 (1.8540)	Prec@1 58.594 (51.566)	Prec@5 86.719 (81.232)
Epoch: [68][5580/14090]	Time 0.759 (0.763)	Data 0.001 (0.002)	Loss 2.0962 (1.8541)	Prec@1 40.625 (51.563)	Prec@5 77.344 (81.230)
Epoch: [68][5590/14090]	Time 0.771 (0.763)	Data 0.001 (0.002)	Loss 1.6688 (1.8541)	Prec@1 57.812 (51.565)	Prec@5 84.375 (81.230)
Epoch: [68][5600/14090]	Time 0.855 (0.763)	Data 0.001 (0.002)	Loss 1.4783 (1.8540)	Prec@1 60.156 (51.568)	Prec@5 87.500 (81.228)
Epoch: [68][5610/14090]	Time 0.753 (0.763)	Data 0.001 (0.002)	Loss 2.1406 (1.8540)	Prec@1 48.438 (51.568)	Prec@5 79.688 (81.230)
Epoch: [68][5620/14090]	Time 0.745 (0.763)	Data 0.001 (0.002)	Loss 1.9422 (1.8541)	Prec@1 53.125 (51.568)	Prec@5 78.906 (81.228)
Epoch: [68][5630/14090]	Time 0.746 (0.763)	Data 0.001 (0.002)	Loss 1.8268 (1.8542)	Prec@1 53.906 (51.567)	Prec@5 78.906 (81.227)
Epoch: [68][5640/14090]	Time 0.746 (0.763)	Data 0.001 (0.002)	Loss 1.7054 (1.8541)	Prec@1 57.031 (51.569)	Prec@5 80.469 (81.228)
Epoch: [68][5650/14090]	Time 0.755 (0.763)	Data 0.001 (0.002)	Loss 1.8101 (1.8541)	Prec@1 56.250 (51.569)	Prec@5 81.250 (81.228)
Epoch: [68][5660/14090]	Time 0.765 (0.763)	Data 0.001 (0.002)	Loss 1.6679 (1.8542)	Prec@1 53.906 (51.566)	Prec@5 83.594 (81.225)
Epoch: [68][5670/14090]	Time 0.862 (0.763)	Data 0.001 (0.002)	Loss 1.6854 (1.8539)	Prec@1 61.719 (51.573)	Prec@5 82.031 (81.226)
Epoch: [68][5680/14090]	Time 0.735 (0.763)	Data 0.001 (0.002)	Loss 1.9768 (1.8541)	Prec@1 50.000 (51.568)	Prec@5 81.250 (81.224)
Epoch: [68][5690/14090]	Time 0.754 (0.763)	Data 0.001 (0.002)	Loss 2.1619 (1.8541)	Prec@1 43.750 (51.567)	Prec@5 70.312 (81.224)
Epoch: [68][5700/14090]	Time 0.738 (0.763)	Data 0.001 (0.002)	Loss 1.8193 (1.8542)	Prec@1 56.250 (51.563)	Prec@5 82.031 (81.222)
Epoch: [68][5710/14090]	Time 0.728 (0.763)	Data 0.001 (0.002)	Loss 1.8647 (1.8543)	Prec@1 54.688 (51.562)	Prec@5 78.125 (81.220)
Epoch: [68][5720/14090]	Time 0.760 (0.763)	Data 0.001 (0.002)	Loss 1.9269 (1.8544)	Prec@1 49.219 (51.561)	Prec@5 78.906 (81.217)
Epoch: [68][5730/14090]	Time 0.725 (0.763)	Data 0.001 (0.002)	Loss 1.7938 (1.8545)	Prec@1 51.562 (51.560)	Prec@5 84.375 (81.216)
Epoch: [68][5740/14090]	Time 0.871 (0.763)	Data 0.001 (0.002)	Loss 1.7821 (1.8544)	Prec@1 53.906 (51.563)	Prec@5 81.250 (81.216)
Epoch: [68][5750/14090]	Time 0.754 (0.763)	Data 0.001 (0.002)	Loss 1.6983 (1.8543)	Prec@1 53.125 (51.564)	Prec@5 82.812 (81.220)
Epoch: [68][5760/14090]	Time 0.777 (0.763)	Data 0.001 (0.002)	Loss 1.9988 (1.8544)	Prec@1 48.438 (51.564)	Prec@5 76.562 (81.219)
Epoch: [68][5770/14090]	Time 0.747 (0.763)	Data 0.001 (0.002)	Loss 2.1273 (1.8544)	Prec@1 46.875 (51.564)	Prec@5 75.000 (81.219)
Epoch: [68][5780/14090]	Time 0.749 (0.763)	Data 0.001 (0.002)	Loss 1.9855 (1.8545)	Prec@1 49.219 (51.562)	Prec@5 73.438 (81.217)
Epoch: [68][5790/14090]	Time 0.734 (0.763)	Data 0.001 (0.002)	Loss 2.0051 (1.8545)	Prec@1 50.000 (51.562)	Prec@5 76.562 (81.215)
Epoch: [68][5800/14090]	Time 0.769 (0.763)	Data 0.001 (0.002)	Loss 1.7728 (1.8545)	Prec@1 54.688 (51.563)	Prec@5 82.031 (81.214)
Epoch: [68][5810/14090]	Time 0.851 (0.763)	Data 0.001 (0.002)	Loss 1.9214 (1.8544)	Prec@1 52.344 (51.565)	Prec@5 79.688 (81.215)
Epoch: [68][5820/14090]	Time 0.729 (0.763)	Data 0.001 (0.002)	Loss 2.0382 (1.8543)	Prec@1 50.781 (51.567)	Prec@5 75.000 (81.217)
Epoch: [68][5830/14090]	Time 0.751 (0.763)	Data 0.001 (0.002)	Loss 2.0091 (1.8545)	Prec@1 46.094 (51.562)	Prec@5 80.469 (81.217)
Epoch: [68][5840/14090]	Time 0.736 (0.763)	Data 0.001 (0.002)	Loss 1.8115 (1.8544)	Prec@1 59.375 (51.567)	Prec@5 85.156 (81.214)
Epoch: [68][5850/14090]	Time 0.728 (0.763)	Data 0.001 (0.002)	Loss 1.5709 (1.8546)	Prec@1 53.125 (51.563)	Prec@5 85.156 (81.210)
Epoch: [68][5860/14090]	Time 0.754 (0.763)	Data 0.001 (0.002)	Loss 1.8824 (1.8547)	Prec@1 46.875 (51.560)	Prec@5 80.469 (81.209)
Epoch: [68][5870/14090]	Time 0.752 (0.763)	Data 0.001 (0.002)	Loss 1.9853 (1.8546)	Prec@1 47.656 (51.561)	Prec@5 81.250 (81.213)
Epoch: [68][5880/14090]	Time 0.846 (0.763)	Data 0.001 (0.002)	Loss 1.9744 (1.8547)	Prec@1 45.312 (51.559)	Prec@5 79.688 (81.209)
Epoch: [68][5890/14090]	Time 0.750 (0.763)	Data 0.001 (0.002)	Loss 1.9911 (1.8547)	Prec@1 53.906 (51.560)	Prec@5 76.562 (81.208)
Epoch: [68][5900/14090]	Time 0.736 (0.763)	Data 0.001 (0.002)	Loss 1.9686 (1.8548)	Prec@1 55.469 (51.559)	Prec@5 82.031 (81.208)
Epoch: [68][5910/14090]	Time 0.727 (0.763)	Data 0.001 (0.002)	Loss 1.8502 (1.8548)	Prec@1 52.344 (51.562)	Prec@5 77.344 (81.206)
Epoch: [68][5920/14090]	Time 0.744 (0.763)	Data 0.001 (0.002)	Loss 1.6357 (1.8548)	Prec@1 55.469 (51.563)	Prec@5 85.938 (81.207)
Epoch: [68][5930/14090]	Time 0.757 (0.763)	Data 0.001 (0.002)	Loss 1.8690 (1.8547)	Prec@1 56.250 (51.566)	Prec@5 81.250 (81.208)
Epoch: [68][5940/14090]	Time 0.745 (0.763)	Data 0.001 (0.002)	Loss 1.7123 (1.8546)	Prec@1 57.031 (51.570)	Prec@5 83.594 (81.213)
Epoch: [68][5950/14090]	Time 0.860 (0.763)	Data 0.001 (0.002)	Loss 1.6632 (1.8545)	Prec@1 53.906 (51.573)	Prec@5 85.156 (81.214)
Epoch: [68][5960/14090]	Time 0.734 (0.763)	Data 0.001 (0.002)	Loss 1.8092 (1.8546)	Prec@1 53.906 (51.571)	Prec@5 79.688 (81.212)
Epoch: [68][5970/14090]	Time 0.726 (0.763)	Data 0.001 (0.002)	Loss 1.7636 (1.8545)	Prec@1 51.562 (51.572)	Prec@5 84.375 (81.212)
Epoch: [68][5980/14090]	Time 0.733 (0.763)	Data 0.001 (0.002)	Loss 1.8578 (1.8544)	Prec@1 48.438 (51.573)	Prec@5 79.688 (81.214)
Epoch: [68][5990/14090]	Time 0.753 (0.763)	Data 0.001 (0.002)	Loss 1.7010 (1.8544)	Prec@1 52.344 (51.574)	Prec@5 84.375 (81.215)
Epoch: [68][6000/14090]	Time 0.752 (0.763)	Data 0.001 (0.002)	Loss 1.7060 (1.8546)	Prec@1 58.594 (51.568)	Prec@5 84.375 (81.213)
Epoch: [68][6010/14090]	Time 0.738 (0.763)	Data 0.001 (0.002)	Loss 1.7635 (1.8547)	Prec@1 46.094 (51.568)	Prec@5 85.938 (81.210)
Epoch: [68][6020/14090]	Time 0.808 (0.763)	Data 0.001 (0.002)	Loss 1.6719 (1.8547)	Prec@1 56.250 (51.570)	Prec@5 82.812 (81.212)
Epoch: [68][6030/14090]	Time 0.731 (0.763)	Data 0.001 (0.002)	Loss 1.6618 (1.8547)	Prec@1 63.281 (51.572)	Prec@5 85.938 (81.211)
Epoch: [68][6040/14090]	Time 0.726 (0.763)	Data 0.001 (0.002)	Loss 1.8938 (1.8548)	Prec@1 48.438 (51.568)	Prec@5 81.250 (81.210)
Epoch: [68][6050/14090]	Time 0.722 (0.763)	Data 0.001 (0.002)	Loss 1.9280 (1.8549)	Prec@1 51.562 (51.567)	Prec@5 80.469 (81.208)
Epoch: [68][6060/14090]	Time 0.724 (0.763)	Data 0.001 (0.002)	Loss 1.8961 (1.8550)	Prec@1 48.438 (51.563)	Prec@5 82.031 (81.206)
Epoch: [68][6070/14090]	Time 0.751 (0.763)	Data 0.001 (0.002)	Loss 1.6591 (1.8549)	Prec@1 58.594 (51.564)	Prec@5 84.375 (81.207)
Epoch: [68][6080/14090]	Time 0.775 (0.763)	Data 0.001 (0.002)	Loss 1.8081 (1.8549)	Prec@1 54.688 (51.563)	Prec@5 80.469 (81.207)
Epoch: [68][6090/14090]	Time 0.841 (0.763)	Data 0.001 (0.002)	Loss 1.8604 (1.8549)	Prec@1 54.688 (51.564)	Prec@5 84.375 (81.209)
Epoch: [68][6100/14090]	Time 0.718 (0.763)	Data 0.001 (0.002)	Loss 2.0226 (1.8549)	Prec@1 48.438 (51.561)	Prec@5 80.469 (81.209)
Epoch: [68][6110/14090]	Time 0.732 (0.763)	Data 0.001 (0.002)	Loss 1.8700 (1.8548)	Prec@1 49.219 (51.565)	Prec@5 82.812 (81.213)
Epoch: [68][6120/14090]	Time 0.746 (0.763)	Data 0.001 (0.002)	Loss 1.6946 (1.8549)	Prec@1 53.125 (51.561)	Prec@5 82.031 (81.212)
Epoch: [68][6130/14090]	Time 0.750 (0.763)	Data 0.001 (0.002)	Loss 1.7472 (1.8548)	Prec@1 60.938 (51.566)	Prec@5 82.812 (81.212)
Epoch: [68][6140/14090]	Time 0.729 (0.763)	Data 0.001 (0.002)	Loss 1.6856 (1.8548)	Prec@1 55.469 (51.567)	Prec@5 80.469 (81.212)
Epoch: [68][6150/14090]	Time 0.731 (0.763)	Data 0.001 (0.002)	Loss 1.9125 (1.8548)	Prec@1 50.000 (51.568)	Prec@5 82.031 (81.211)
Epoch: [68][6160/14090]	Time 0.870 (0.763)	Data 0.001 (0.002)	Loss 1.8480 (1.8548)	Prec@1 49.219 (51.568)	Prec@5 85.156 (81.214)
Epoch: [68][6170/14090]	Time 0.748 (0.763)	Data 0.001 (0.002)	Loss 1.7904 (1.8547)	Prec@1 55.469 (51.571)	Prec@5 84.375 (81.217)
Epoch: [68][6180/14090]	Time 0.751 (0.763)	Data 0.001 (0.002)	Loss 1.8485 (1.8547)	Prec@1 49.219 (51.571)	Prec@5 83.594 (81.214)
Epoch: [68][6190/14090]	Time 0.731 (0.763)	Data 0.001 (0.002)	Loss 1.8292 (1.8548)	Prec@1 51.562 (51.570)	Prec@5 79.688 (81.213)
Epoch: [68][6200/14090]	Time 0.731 (0.763)	Data 0.001 (0.002)	Loss 1.9453 (1.8548)	Prec@1 46.875 (51.571)	Prec@5 79.688 (81.213)
Epoch: [68][6210/14090]	Time 0.754 (0.763)	Data 0.001 (0.002)	Loss 1.8210 (1.8548)	Prec@1 53.125 (51.572)	Prec@5 83.594 (81.212)
Epoch: [68][6220/14090]	Time 0.774 (0.763)	Data 0.001 (0.002)	Loss 1.9299 (1.8550)	Prec@1 48.438 (51.565)	Prec@5 79.688 (81.208)
Epoch: [68][6230/14090]	Time 0.883 (0.763)	Data 0.001 (0.002)	Loss 1.5779 (1.8550)	Prec@1 57.812 (51.565)	Prec@5 84.375 (81.208)
Epoch: [68][6240/14090]	Time 0.735 (0.763)	Data 0.001 (0.002)	Loss 1.8366 (1.8549)	Prec@1 53.906 (51.567)	Prec@5 81.250 (81.210)
Epoch: [68][6250/14090]	Time 0.750 (0.763)	Data 0.001 (0.002)	Loss 1.9171 (1.8551)	Prec@1 49.219 (51.564)	Prec@5 81.250 (81.208)
Epoch: [68][6260/14090]	Time 0.745 (0.763)	Data 0.001 (0.002)	Loss 1.8540 (1.8551)	Prec@1 57.031 (51.566)	Prec@5 79.688 (81.208)
Epoch: [68][6270/14090]	Time 0.741 (0.763)	Data 0.001 (0.002)	Loss 2.0130 (1.8551)	Prec@1 43.750 (51.568)	Prec@5 76.562 (81.208)
Epoch: [68][6280/14090]	Time 0.750 (0.763)	Data 0.001 (0.002)	Loss 1.8414 (1.8551)	Prec@1 50.781 (51.569)	Prec@5 82.031 (81.206)
Epoch: [68][6290/14090]	Time 0.732 (0.763)	Data 0.001 (0.002)	Loss 1.7612 (1.8552)	Prec@1 57.031 (51.567)	Prec@5 81.250 (81.204)
Epoch: [68][6300/14090]	Time 0.867 (0.763)	Data 0.001 (0.002)	Loss 1.7434 (1.8552)	Prec@1 63.281 (51.568)	Prec@5 83.594 (81.204)
Epoch: [68][6310/14090]	Time 0.741 (0.763)	Data 0.001 (0.002)	Loss 1.6907 (1.8553)	Prec@1 55.469 (51.566)	Prec@5 84.375 (81.203)
Epoch: [68][6320/14090]	Time 0.731 (0.763)	Data 0.001 (0.002)	Loss 1.9432 (1.8554)	Prec@1 46.875 (51.564)	Prec@5 76.562 (81.202)
Epoch: [68][6330/14090]	Time 0.738 (0.763)	Data 0.001 (0.002)	Loss 1.7479 (1.8554)	Prec@1 53.125 (51.563)	Prec@5 82.031 (81.204)
Epoch: [68][6340/14090]	Time 0.746 (0.763)	Data 0.001 (0.002)	Loss 1.8918 (1.8553)	Prec@1 51.562 (51.560)	Prec@5 80.469 (81.205)
Epoch: [68][6350/14090]	Time 0.760 (0.763)	Data 0.001 (0.002)	Loss 1.9481 (1.8553)	Prec@1 49.219 (51.563)	Prec@5 79.688 (81.205)
Epoch: [68][6360/14090]	Time 0.742 (0.763)	Data 0.001 (0.002)	Loss 1.6611 (1.8552)	Prec@1 53.125 (51.563)	Prec@5 84.375 (81.206)
Epoch: [68][6370/14090]	Time 0.859 (0.763)	Data 0.001 (0.002)	Loss 1.8547 (1.8552)	Prec@1 50.781 (51.561)	Prec@5 81.250 (81.206)
Epoch: [68][6380/14090]	Time 0.752 (0.763)	Data 0.001 (0.002)	Loss 1.7046 (1.8552)	Prec@1 53.906 (51.561)	Prec@5 82.031 (81.206)
Epoch: [68][6390/14090]	Time 0.776 (0.763)	Data 0.001 (0.002)	Loss 1.9373 (1.8553)	Prec@1 54.688 (51.561)	Prec@5 77.344 (81.202)
Epoch: [68][6400/14090]	Time 0.745 (0.763)	Data 0.001 (0.002)	Loss 1.9341 (1.8553)	Prec@1 50.781 (51.565)	Prec@5 82.031 (81.202)
Epoch: [68][6410/14090]	Time 0.721 (0.763)	Data 0.001 (0.002)	Loss 1.9493 (1.8552)	Prec@1 50.000 (51.567)	Prec@5 78.906 (81.204)
Epoch: [68][6420/14090]	Time 0.754 (0.763)	Data 0.001 (0.002)	Loss 1.8857 (1.8551)	Prec@1 47.656 (51.568)	Prec@5 79.688 (81.206)
Epoch: [68][6430/14090]	Time 0.742 (0.763)	Data 0.001 (0.002)	Loss 1.6155 (1.8550)	Prec@1 56.250 (51.567)	Prec@5 85.938 (81.209)
Epoch: [68][6440/14090]	Time 0.844 (0.763)	Data 0.001 (0.002)	Loss 2.1486 (1.8551)	Prec@1 46.094 (51.563)	Prec@5 75.000 (81.206)
Epoch: [68][6450/14090]	Time 0.727 (0.763)	Data 0.001 (0.002)	Loss 1.6172 (1.8550)	Prec@1 53.125 (51.564)	Prec@5 82.031 (81.207)
Epoch: [68][6460/14090]	Time 0.752 (0.763)	Data 0.001 (0.002)	Loss 1.7237 (1.8551)	Prec@1 50.781 (51.562)	Prec@5 82.812 (81.205)
Epoch: [68][6470/14090]	Time 0.729 (0.763)	Data 0.001 (0.002)	Loss 1.5689 (1.8551)	Prec@1 60.156 (51.561)	Prec@5 85.938 (81.205)
Epoch: [68][6480/14090]	Time 0.742 (0.763)	Data 0.001 (0.002)	Loss 2.0049 (1.8551)	Prec@1 44.531 (51.562)	Prec@5 81.250 (81.206)
Epoch: [68][6490/14090]	Time 0.756 (0.763)	Data 0.001 (0.002)	Loss 1.8618 (1.8550)	Prec@1 51.562 (51.560)	Prec@5 76.562 (81.206)
Epoch: [68][6500/14090]	Time 0.748 (0.763)	Data 0.001 (0.002)	Loss 1.7577 (1.8551)	Prec@1 53.125 (51.558)	Prec@5 82.031 (81.205)
Epoch: [68][6510/14090]	Time 0.890 (0.763)	Data 0.001 (0.002)	Loss 2.0749 (1.8553)	Prec@1 49.219 (51.553)	Prec@5 75.781 (81.200)
Epoch: [68][6520/14090]	Time 0.730 (0.763)	Data 0.001 (0.002)	Loss 1.8739 (1.8553)	Prec@1 50.781 (51.554)	Prec@5 84.375 (81.200)
Epoch: [68][6530/14090]	Time 0.756 (0.763)	Data 0.001 (0.002)	Loss 1.8821 (1.8553)	Prec@1 50.000 (51.555)	Prec@5 81.250 (81.203)
Epoch: [68][6540/14090]	Time 0.768 (0.763)	Data 0.001 (0.002)	Loss 1.8475 (1.8553)	Prec@1 51.562 (51.554)	Prec@5 82.812 (81.204)
Epoch: [68][6550/14090]	Time 0.737 (0.763)	Data 0.001 (0.002)	Loss 1.7203 (1.8552)	Prec@1 54.688 (51.556)	Prec@5 85.938 (81.206)
Epoch: [68][6560/14090]	Time 0.731 (0.763)	Data 0.001 (0.002)	Loss 1.7742 (1.8552)	Prec@1 51.562 (51.557)	Prec@5 83.594 (81.207)
Epoch: [68][6570/14090]	Time 0.774 (0.763)	Data 0.001 (0.002)	Loss 1.8247 (1.8552)	Prec@1 49.219 (51.556)	Prec@5 81.250 (81.209)
Epoch: [68][6580/14090]	Time 0.867 (0.763)	Data 0.001 (0.002)	Loss 1.6491 (1.8551)	Prec@1 54.688 (51.557)	Prec@5 84.375 (81.209)
Epoch: [68][6590/14090]	Time 0.737 (0.763)	Data 0.001 (0.002)	Loss 1.7246 (1.8551)	Prec@1 53.906 (51.557)	Prec@5 85.156 (81.209)
Epoch: [68][6600/14090]	Time 0.744 (0.763)	Data 0.001 (0.002)	Loss 1.7352 (1.8549)	Prec@1 57.812 (51.561)	Prec@5 85.156 (81.214)
Epoch: [68][6610/14090]	Time 0.739 (0.763)	Data 0.001 (0.002)	Loss 1.6416 (1.8547)	Prec@1 56.250 (51.563)	Prec@5 85.938 (81.217)
Epoch: [68][6620/14090]	Time 0.747 (0.763)	Data 0.001 (0.002)	Loss 1.9707 (1.8548)	Prec@1 52.344 (51.562)	Prec@5 82.031 (81.215)
Epoch: [68][6630/14090]	Time 0.773 (0.763)	Data 0.001 (0.002)	Loss 1.8407 (1.8548)	Prec@1 50.000 (51.560)	Prec@5 80.469 (81.217)
Epoch: [68][6640/14090]	Time 0.774 (0.763)	Data 0.001 (0.002)	Loss 1.7822 (1.8547)	Prec@1 51.562 (51.559)	Prec@5 81.250 (81.217)
Epoch: [68][6650/14090]	Time 0.828 (0.763)	Data 0.001 (0.002)	Loss 2.1193 (1.8547)	Prec@1 46.875 (51.559)	Prec@5 76.562 (81.216)
Epoch: [68][6660/14090]	Time 0.767 (0.763)	Data 0.001 (0.002)	Loss 1.9020 (1.8546)	Prec@1 48.438 (51.561)	Prec@5 80.469 (81.216)
Epoch: [68][6670/14090]	Time 0.758 (0.763)	Data 0.001 (0.002)	Loss 2.0045 (1.8547)	Prec@1 50.000 (51.561)	Prec@5 78.125 (81.215)
Epoch: [68][6680/14090]	Time 0.748 (0.763)	Data 0.001 (0.002)	Loss 1.6983 (1.8547)	Prec@1 54.688 (51.563)	Prec@5 86.719 (81.216)
Epoch: [68][6690/14090]	Time 0.721 (0.763)	Data 0.001 (0.002)	Loss 1.7959 (1.8547)	Prec@1 54.688 (51.563)	Prec@5 81.250 (81.213)
Epoch: [68][6700/14090]	Time 0.755 (0.763)	Data 0.001 (0.002)	Loss 1.9271 (1.8546)	Prec@1 48.438 (51.566)	Prec@5 82.812 (81.216)
Epoch: [68][6710/14090]	Time 0.726 (0.763)	Data 0.001 (0.002)	Loss 1.9761 (1.8547)	Prec@1 51.562 (51.566)	Prec@5 77.344 (81.213)
Epoch: [68][6720/14090]	Time 0.838 (0.763)	Data 0.001 (0.002)	Loss 1.8651 (1.8547)	Prec@1 48.438 (51.565)	Prec@5 82.031 (81.214)
Epoch: [68][6730/14090]	Time 0.761 (0.763)	Data 0.001 (0.002)	Loss 1.9620 (1.8546)	Prec@1 52.344 (51.567)	Prec@5 80.469 (81.214)
Epoch: [68][6740/14090]	Time 0.783 (0.763)	Data 0.001 (0.002)	Loss 1.8246 (1.8545)	Prec@1 57.031 (51.572)	Prec@5 78.906 (81.217)
Epoch: [68][6750/14090]	Time 0.747 (0.763)	Data 0.001 (0.002)	Loss 1.8629 (1.8545)	Prec@1 52.344 (51.573)	Prec@5 80.469 (81.217)
Epoch: [68][6760/14090]	Time 0.725 (0.763)	Data 0.001 (0.002)	Loss 2.0666 (1.8545)	Prec@1 48.438 (51.574)	Prec@5 76.562 (81.218)
Epoch: [68][6770/14090]	Time 0.757 (0.763)	Data 0.001 (0.002)	Loss 1.8318 (1.8545)	Prec@1 50.781 (51.573)	Prec@5 82.031 (81.220)
Epoch: [68][6780/14090]	Time 0.727 (0.763)	Data 0.001 (0.002)	Loss 1.7643 (1.8545)	Prec@1 49.219 (51.573)	Prec@5 82.031 (81.220)
Epoch: [68][6790/14090]	Time 0.903 (0.763)	Data 0.001 (0.002)	Loss 1.8354 (1.8544)	Prec@1 57.812 (51.573)	Prec@5 81.250 (81.221)
Epoch: [68][6800/14090]	Time 0.739 (0.763)	Data 0.001 (0.002)	Loss 2.0734 (1.8545)	Prec@1 47.656 (51.571)	Prec@5 74.219 (81.219)
Epoch: [68][6810/14090]	Time 0.730 (0.763)	Data 0.001 (0.002)	Loss 1.7914 (1.8546)	Prec@1 56.250 (51.573)	Prec@5 82.812 (81.217)
Epoch: [68][6820/14090]	Time 0.732 (0.763)	Data 0.001 (0.002)	Loss 1.7699 (1.8545)	Prec@1 54.688 (51.572)	Prec@5 80.469 (81.218)
Epoch: [68][6830/14090]	Time 0.764 (0.763)	Data 0.001 (0.002)	Loss 1.7817 (1.8545)	Prec@1 46.875 (51.568)	Prec@5 82.031 (81.218)
Epoch: [68][6840/14090]	Time 0.726 (0.763)	Data 0.001 (0.002)	Loss 1.8485 (1.8546)	Prec@1 53.125 (51.565)	Prec@5 80.469 (81.215)
Epoch: [68][6850/14090]	Time 0.769 (0.763)	Data 0.001 (0.002)	Loss 1.8935 (1.8547)	Prec@1 50.000 (51.562)	Prec@5 85.156 (81.214)
Epoch: [68][6860/14090]	Time 0.872 (0.763)	Data 0.001 (0.002)	Loss 1.6546 (1.8547)	Prec@1 55.469 (51.563)	Prec@5 85.156 (81.214)
Epoch: [68][6870/14090]	Time 0.765 (0.763)	Data 0.001 (0.002)	Loss 1.8235 (1.8547)	Prec@1 50.781 (51.564)	Prec@5 83.594 (81.214)
Epoch: [68][6880/14090]	Time 0.774 (0.763)	Data 0.001 (0.002)	Loss 1.6952 (1.8548)	Prec@1 57.031 (51.563)	Prec@5 81.250 (81.212)
Epoch: [68][6890/14090]	Time 0.745 (0.763)	Data 0.001 (0.002)	Loss 2.1608 (1.8548)	Prec@1 41.406 (51.562)	Prec@5 73.438 (81.212)
Epoch: [68][6900/14090]	Time 0.732 (0.763)	Data 0.001 (0.002)	Loss 1.8696 (1.8547)	Prec@1 52.344 (51.565)	Prec@5 79.688 (81.213)
Epoch: [68][6910/14090]	Time 0.734 (0.763)	Data 0.001 (0.002)	Loss 1.7844 (1.8547)	Prec@1 60.938 (51.565)	Prec@5 84.375 (81.213)
Epoch: [68][6920/14090]	Time 0.781 (0.763)	Data 0.001 (0.002)	Loss 2.0601 (1.8548)	Prec@1 49.219 (51.564)	Prec@5 76.562 (81.210)
Epoch: [68][6930/14090]	Time 0.844 (0.763)	Data 0.001 (0.002)	Loss 1.9469 (1.8548)	Prec@1 47.656 (51.564)	Prec@5 79.688 (81.212)
Epoch: [68][6940/14090]	Time 0.727 (0.763)	Data 0.001 (0.002)	Loss 1.9694 (1.8548)	Prec@1 51.562 (51.564)	Prec@5 74.219 (81.210)
Epoch: [68][6950/14090]	Time 0.747 (0.763)	Data 0.001 (0.002)	Loss 2.0451 (1.8548)	Prec@1 45.312 (51.562)	Prec@5 79.688 (81.208)
Epoch: [68][6960/14090]	Time 0.775 (0.763)	Data 0.001 (0.002)	Loss 2.0785 (1.8547)	Prec@1 42.969 (51.566)	Prec@5 78.125 (81.212)
Epoch: [68][6970/14090]	Time 0.727 (0.763)	Data 0.001 (0.002)	Loss 1.8344 (1.8547)	Prec@1 52.344 (51.563)	Prec@5 81.250 (81.212)
Epoch: [68][6980/14090]	Time 0.733 (0.763)	Data 0.001 (0.002)	Loss 2.0662 (1.8547)	Prec@1 49.219 (51.564)	Prec@5 75.781 (81.211)
Epoch: [68][6990/14090]	Time 0.761 (0.763)	Data 0.001 (0.002)	Loss 1.9567 (1.8547)	Prec@1 46.875 (51.564)	Prec@5 82.031 (81.212)
Epoch: [68][7000/14090]	Time 0.863 (0.763)	Data 0.001 (0.002)	Loss 1.7146 (1.8546)	Prec@1 55.469 (51.562)	Prec@5 81.250 (81.212)
Epoch: [68][7010/14090]	Time 0.743 (0.763)	Data 0.001 (0.002)	Loss 1.9743 (1.8547)	Prec@1 42.188 (51.561)	Prec@5 78.125 (81.212)
Epoch: [68][7020/14090]	Time 0.750 (0.763)	Data 0.001 (0.002)	Loss 1.8019 (1.8547)	Prec@1 56.250 (51.559)	Prec@5 82.031 (81.211)
Epoch: [68][7030/14090]	Time 0.729 (0.763)	Data 0.001 (0.002)	Loss 1.9641 (1.8547)	Prec@1 46.875 (51.559)	Prec@5 80.469 (81.212)
Epoch: [68][7040/14090]	Time 0.758 (0.763)	Data 0.001 (0.002)	Loss 1.8591 (1.8547)	Prec@1 50.781 (51.560)	Prec@5 82.812 (81.212)
Epoch: [68][7050/14090]	Time 0.752 (0.763)	Data 0.001 (0.002)	Loss 1.6390 (1.8546)	Prec@1 51.562 (51.558)	Prec@5 85.156 (81.216)
Epoch: [68][7060/14090]	Time 0.769 (0.763)	Data 0.001 (0.002)	Loss 1.9630 (1.8547)	Prec@1 46.094 (51.557)	Prec@5 78.125 (81.213)
Epoch: [68][7070/14090]	Time 0.901 (0.763)	Data 0.001 (0.002)	Loss 1.7743 (1.8548)	Prec@1 54.688 (51.555)	Prec@5 82.031 (81.213)
Epoch: [68][7080/14090]	Time 0.730 (0.763)	Data 0.001 (0.002)	Loss 1.7578 (1.8548)	Prec@1 53.125 (51.555)	Prec@5 83.594 (81.212)
Epoch: [68][7090/14090]	Time 0.751 (0.763)	Data 0.001 (0.002)	Loss 1.8889 (1.8548)	Prec@1 53.125 (51.556)	Prec@5 83.594 (81.211)
Epoch: [68][7100/14090]	Time 0.729 (0.763)	Data 0.001 (0.002)	Loss 1.8550 (1.8548)	Prec@1 48.438 (51.557)	Prec@5 80.469 (81.211)
Epoch: [68][7110/14090]	Time 0.728 (0.763)	Data 0.001 (0.002)	Loss 1.8881 (1.8549)	Prec@1 51.562 (51.556)	Prec@5 75.781 (81.211)
Epoch: [68][7120/14090]	Time 0.753 (0.763)	Data 0.001 (0.002)	Loss 1.7578 (1.8549)	Prec@1 48.438 (51.552)	Prec@5 83.594 (81.209)
Epoch: [68][7130/14090]	Time 0.770 (0.763)	Data 0.001 (0.002)	Loss 2.1184 (1.8549)	Prec@1 47.656 (51.552)	Prec@5 75.781 (81.210)
Epoch: [68][7140/14090]	Time 0.875 (0.763)	Data 0.001 (0.002)	Loss 1.7780 (1.8550)	Prec@1 50.000 (51.551)	Prec@5 80.469 (81.208)
Epoch: [68][7150/14090]	Time 0.733 (0.763)	Data 0.001 (0.002)	Loss 1.8475 (1.8550)	Prec@1 46.094 (51.553)	Prec@5 83.594 (81.209)
Epoch: [68][7160/14090]	Time 0.731 (0.763)	Data 0.001 (0.002)	Loss 2.0751 (1.8549)	Prec@1 42.188 (51.553)	Prec@5 77.344 (81.210)
Epoch: [68][7170/14090]	Time 0.723 (0.763)	Data 0.001 (0.002)	Loss 1.6651 (1.8549)	Prec@1 54.688 (51.554)	Prec@5 84.375 (81.210)
Epoch: [68][7180/14090]	Time 0.733 (0.763)	Data 0.001 (0.002)	Loss 1.5766 (1.8548)	Prec@1 54.688 (51.555)	Prec@5 86.719 (81.212)
Epoch: [68][7190/14090]	Time 0.745 (0.763)	Data 0.001 (0.002)	Loss 1.7260 (1.8547)	Prec@1 53.906 (51.557)	Prec@5 83.594 (81.214)
Epoch: [68][7200/14090]	Time 0.772 (0.763)	Data 0.001 (0.002)	Loss 1.7413 (1.8547)	Prec@1 53.906 (51.558)	Prec@5 84.375 (81.215)
Epoch: [68][7210/14090]	Time 0.839 (0.763)	Data 0.001 (0.002)	Loss 1.9668 (1.8547)	Prec@1 46.094 (51.558)	Prec@5 81.250 (81.214)
Epoch: [68][7220/14090]	Time 0.732 (0.763)	Data 0.001 (0.002)	Loss 2.0364 (1.8549)	Prec@1 46.094 (51.555)	Prec@5 77.344 (81.211)
Epoch: [68][7230/14090]	Time 0.773 (0.763)	Data 0.001 (0.002)	Loss 2.1402 (1.8550)	Prec@1 50.000 (51.555)	Prec@5 77.344 (81.211)
Epoch: [68][7240/14090]	Time 0.752 (0.763)	Data 0.001 (0.002)	Loss 1.9962 (1.8551)	Prec@1 50.781 (51.551)	Prec@5 78.125 (81.208)
Epoch: [68][7250/14090]	Time 0.727 (0.763)	Data 0.001 (0.002)	Loss 1.7081 (1.8552)	Prec@1 59.375 (51.550)	Prec@5 83.594 (81.205)
Epoch: [68][7260/14090]	Time 0.754 (0.763)	Data 0.001 (0.002)	Loss 1.8811 (1.8552)	Prec@1 51.562 (51.552)	Prec@5 82.031 (81.204)
Epoch: [68][7270/14090]	Time 0.768 (0.763)	Data 0.001 (0.002)	Loss 1.9457 (1.8553)	Prec@1 48.438 (51.552)	Prec@5 79.688 (81.203)
Epoch: [68][7280/14090]	Time 0.868 (0.763)	Data 0.001 (0.002)	Loss 1.9156 (1.8553)	Prec@1 54.688 (51.548)	Prec@5 83.594 (81.201)
Epoch: [68][7290/14090]	Time 0.722 (0.763)	Data 0.001 (0.002)	Loss 2.2080 (1.8554)	Prec@1 39.844 (51.546)	Prec@5 76.562 (81.201)
Epoch: [68][7300/14090]	Time 0.729 (0.763)	Data 0.001 (0.002)	Loss 1.5672 (1.8553)	Prec@1 58.594 (51.548)	Prec@5 85.938 (81.202)
Epoch: [68][7310/14090]	Time 0.757 (0.763)	Data 0.001 (0.002)	Loss 1.9890 (1.8552)	Prec@1 49.219 (51.548)	Prec@5 79.688 (81.205)
Epoch: [68][7320/14090]	Time 0.752 (0.763)	Data 0.001 (0.002)	Loss 1.9564 (1.8552)	Prec@1 49.219 (51.546)	Prec@5 79.688 (81.204)
Epoch: [68][7330/14090]	Time 0.723 (0.763)	Data 0.001 (0.002)	Loss 1.6363 (1.8553)	Prec@1 53.125 (51.545)	Prec@5 85.156 (81.203)
Epoch: [68][7340/14090]	Time 0.721 (0.763)	Data 0.001 (0.002)	Loss 1.6798 (1.8552)	Prec@1 53.906 (51.547)	Prec@5 83.594 (81.204)
Epoch: [68][7350/14090]	Time 0.884 (0.763)	Data 0.001 (0.002)	Loss 1.9322 (1.8552)	Prec@1 47.656 (51.547)	Prec@5 84.375 (81.204)
Epoch: [68][7360/14090]	Time 0.733 (0.763)	Data 0.001 (0.002)	Loss 1.6967 (1.8552)	Prec@1 57.031 (51.548)	Prec@5 84.375 (81.204)
Epoch: [68][7370/14090]	Time 0.725 (0.763)	Data 0.001 (0.002)	Loss 1.6433 (1.8551)	Prec@1 56.250 (51.550)	Prec@5 85.938 (81.204)
Epoch: [68][7380/14090]	Time 0.733 (0.763)	Data 0.001 (0.002)	Loss 1.8502 (1.8552)	Prec@1 54.688 (51.550)	Prec@5 83.594 (81.205)
Epoch: [68][7390/14090]	Time 0.724 (0.763)	Data 0.001 (0.002)	Loss 2.0288 (1.8552)	Prec@1 50.000 (51.550)	Prec@5 79.688 (81.203)
Epoch: [68][7400/14090]	Time 0.727 (0.763)	Data 0.001 (0.002)	Loss 1.9231 (1.8553)	Prec@1 46.875 (51.550)	Prec@5 79.688 (81.201)
Epoch: [68][7410/14090]	Time 0.730 (0.763)	Data 0.001 (0.002)	Loss 1.6535 (1.8553)	Prec@1 59.375 (51.552)	Prec@5 85.156 (81.202)
Epoch: [68][7420/14090]	Time 0.852 (0.763)	Data 0.001 (0.002)	Loss 1.9179 (1.8554)	Prec@1 57.031 (51.551)	Prec@5 81.250 (81.200)
Epoch: [68][7430/14090]	Time 0.738 (0.763)	Data 0.001 (0.002)	Loss 1.9829 (1.8554)	Prec@1 48.438 (51.551)	Prec@5 78.906 (81.201)
Epoch: [68][7440/14090]	Time 0.737 (0.763)	Data 0.001 (0.002)	Loss 1.7093 (1.8555)	Prec@1 49.219 (51.549)	Prec@5 82.812 (81.200)
Epoch: [68][7450/14090]	Time 0.749 (0.763)	Data 0.001 (0.002)	Loss 1.8822 (1.8554)	Prec@1 46.094 (51.550)	Prec@5 85.156 (81.203)
Epoch: [68][7460/14090]	Time 0.740 (0.763)	Data 0.001 (0.002)	Loss 1.5976 (1.8554)	Prec@1 54.688 (51.550)	Prec@5 86.719 (81.203)
Epoch: [68][7470/14090]	Time 0.764 (0.763)	Data 0.001 (0.002)	Loss 1.6078 (1.8554)	Prec@1 58.594 (51.549)	Prec@5 82.812 (81.203)
Epoch: [68][7480/14090]	Time 0.730 (0.763)	Data 0.001 (0.002)	Loss 1.8230 (1.8554)	Prec@1 50.781 (51.547)	Prec@5 80.469 (81.203)
Epoch: [68][7490/14090]	Time 0.857 (0.763)	Data 0.001 (0.002)	Loss 2.0310 (1.8554)	Prec@1 44.531 (51.547)	Prec@5 76.562 (81.201)
Epoch: [68][7500/14090]	Time 0.744 (0.763)	Data 0.001 (0.002)	Loss 2.2444 (1.8555)	Prec@1 42.188 (51.546)	Prec@5 74.219 (81.198)
Epoch: [68][7510/14090]	Time 0.733 (0.763)	Data 0.001 (0.002)	Loss 1.5334 (1.8554)	Prec@1 54.688 (51.546)	Prec@5 87.500 (81.200)
Epoch: [68][7520/14090]	Time 0.768 (0.763)	Data 0.001 (0.002)	Loss 1.6921 (1.8555)	Prec@1 56.250 (51.546)	Prec@5 85.156 (81.200)
Epoch: [68][7530/14090]	Time 0.720 (0.763)	Data 0.001 (0.002)	Loss 2.1427 (1.8555)	Prec@1 43.750 (51.544)	Prec@5 73.438 (81.198)
Epoch: [68][7540/14090]	Time 0.748 (0.763)	Data 0.001 (0.002)	Loss 1.7561 (1.8555)	Prec@1 54.688 (51.543)	Prec@5 82.031 (81.197)
Epoch: [68][7550/14090]	Time 0.752 (0.763)	Data 0.001 (0.002)	Loss 1.8124 (1.8555)	Prec@1 51.562 (51.542)	Prec@5 83.594 (81.196)
Epoch: [68][7560/14090]	Time 0.848 (0.763)	Data 0.001 (0.002)	Loss 2.0132 (1.8555)	Prec@1 48.438 (51.540)	Prec@5 79.688 (81.197)
Epoch: [68][7570/14090]	Time 0.757 (0.763)	Data 0.001 (0.002)	Loss 1.7668 (1.8555)	Prec@1 55.469 (51.543)	Prec@5 78.125 (81.197)
Epoch: [68][7580/14090]	Time 0.754 (0.763)	Data 0.001 (0.002)	Loss 1.5558 (1.8554)	Prec@1 62.500 (51.545)	Prec@5 83.594 (81.196)
Epoch: [68][7590/14090]	Time 0.729 (0.763)	Data 0.001 (0.002)	Loss 2.4164 (1.8555)	Prec@1 44.531 (51.545)	Prec@5 71.094 (81.195)
Epoch: [68][7600/14090]	Time 0.729 (0.763)	Data 0.001 (0.002)	Loss 1.8936 (1.8555)	Prec@1 51.562 (51.541)	Prec@5 80.469 (81.196)
Epoch: [68][7610/14090]	Time 0.726 (0.763)	Data 0.001 (0.002)	Loss 1.9025 (1.8556)	Prec@1 50.781 (51.541)	Prec@5 79.688 (81.191)
Epoch: [68][7620/14090]	Time 0.764 (0.763)	Data 0.001 (0.002)	Loss 1.8698 (1.8555)	Prec@1 52.344 (51.543)	Prec@5 80.469 (81.191)
Epoch: [68][7630/14090]	Time 0.865 (0.763)	Data 0.003 (0.002)	Loss 1.9274 (1.8555)	Prec@1 47.656 (51.544)	Prec@5 79.688 (81.192)
Epoch: [68][7640/14090]	Time 0.747 (0.763)	Data 0.001 (0.002)	Loss 1.9529 (1.8555)	Prec@1 50.000 (51.546)	Prec@5 80.469 (81.191)
Epoch: [68][7650/14090]	Time 0.749 (0.763)	Data 0.001 (0.002)	Loss 1.9400 (1.8554)	Prec@1 51.562 (51.544)	Prec@5 82.812 (81.193)
Epoch: [68][7660/14090]	Time 0.745 (0.763)	Data 0.001 (0.002)	Loss 1.7774 (1.8553)	Prec@1 54.688 (51.545)	Prec@5 81.250 (81.194)
Epoch: [68][7670/14090]	Time 0.741 (0.763)	Data 0.001 (0.002)	Loss 1.5294 (1.8553)	Prec@1 55.469 (51.545)	Prec@5 87.500 (81.195)
Epoch: [68][7680/14090]	Time 0.768 (0.763)	Data 0.001 (0.002)	Loss 1.7574 (1.8553)	Prec@1 53.125 (51.546)	Prec@5 83.594 (81.196)
Epoch: [68][7690/14090]	Time 0.728 (0.763)	Data 0.001 (0.002)	Loss 1.9082 (1.8554)	Prec@1 50.000 (51.544)	Prec@5 80.469 (81.192)
Epoch: [68][7700/14090]	Time 0.836 (0.763)	Data 0.001 (0.002)	Loss 1.8248 (1.8553)	Prec@1 57.031 (51.547)	Prec@5 83.594 (81.193)
Epoch: [68][7710/14090]	Time 0.754 (0.763)	Data 0.001 (0.002)	Loss 1.8302 (1.8554)	Prec@1 53.125 (51.546)	Prec@5 81.250 (81.192)
Epoch: [68][7720/14090]	Time 0.745 (0.763)	Data 0.001 (0.002)	Loss 2.1382 (1.8553)	Prec@1 46.094 (51.546)	Prec@5 77.344 (81.192)
Epoch: [68][7730/14090]	Time 0.765 (0.763)	Data 0.001 (0.002)	Loss 1.9030 (1.8554)	Prec@1 44.531 (51.543)	Prec@5 79.688 (81.192)
Epoch: [68][7740/14090]	Time 0.730 (0.763)	Data 0.001 (0.002)	Loss 1.9720 (1.8554)	Prec@1 46.094 (51.541)	Prec@5 79.688 (81.190)
Epoch: [68][7750/14090]	Time 0.754 (0.763)	Data 0.001 (0.002)	Loss 2.0435 (1.8555)	Prec@1 49.219 (51.539)	Prec@5 77.344 (81.189)
Epoch: [68][7760/14090]	Time 0.744 (0.763)	Data 0.001 (0.002)	Loss 1.7004 (1.8554)	Prec@1 53.125 (51.541)	Prec@5 82.812 (81.190)
Epoch: [68][7770/14090]	Time 0.872 (0.763)	Data 0.001 (0.002)	Loss 2.0039 (1.8554)	Prec@1 50.781 (51.542)	Prec@5 78.125 (81.189)
Epoch: [68][7780/14090]	Time 0.722 (0.763)	Data 0.001 (0.002)	Loss 1.9198 (1.8554)	Prec@1 52.344 (51.543)	Prec@5 80.469 (81.187)
Epoch: [68][7790/14090]	Time 0.749 (0.763)	Data 0.001 (0.002)	Loss 1.9920 (1.8555)	Prec@1 54.688 (51.542)	Prec@5 77.344 (81.185)
Epoch: [68][7800/14090]	Time 0.724 (0.763)	Data 0.001 (0.002)	Loss 1.6256 (1.8556)	Prec@1 55.469 (51.541)	Prec@5 85.938 (81.184)
Epoch: [68][7810/14090]	Time 0.748 (0.763)	Data 0.001 (0.002)	Loss 2.1746 (1.8556)	Prec@1 39.844 (51.538)	Prec@5 75.781 (81.183)
Epoch: [68][7820/14090]	Time 0.775 (0.763)	Data 0.001 (0.002)	Loss 1.7126 (1.8556)	Prec@1 55.469 (51.539)	Prec@5 84.375 (81.185)
Epoch: [68][7830/14090]	Time 0.727 (0.763)	Data 0.001 (0.002)	Loss 1.9947 (1.8556)	Prec@1 52.344 (51.539)	Prec@5 82.812 (81.186)
Epoch: [68][7840/14090]	Time 0.851 (0.763)	Data 0.001 (0.002)	Loss 1.9691 (1.8556)	Prec@1 45.312 (51.538)	Prec@5 83.594 (81.187)
Epoch: [68][7850/14090]	Time 0.768 (0.763)	Data 0.001 (0.002)	Loss 2.2304 (1.8558)	Prec@1 41.406 (51.533)	Prec@5 77.344 (81.186)
Epoch: [68][7860/14090]	Time 0.734 (0.763)	Data 0.001 (0.002)	Loss 1.5957 (1.8558)	Prec@1 57.031 (51.531)	Prec@5 85.938 (81.186)
Epoch: [68][7870/14090]	Time 0.750 (0.763)	Data 0.001 (0.002)	Loss 1.7958 (1.8559)	Prec@1 50.781 (51.526)	Prec@5 85.156 (81.185)
Epoch: [68][7880/14090]	Time 0.726 (0.763)	Data 0.001 (0.002)	Loss 2.0505 (1.8559)	Prec@1 50.000 (51.528)	Prec@5 78.906 (81.185)
Epoch: [68][7890/14090]	Time 0.729 (0.763)	Data 0.001 (0.002)	Loss 1.9597 (1.8559)	Prec@1 50.781 (51.529)	Prec@5 81.250 (81.186)
Epoch: [68][7900/14090]	Time 0.776 (0.763)	Data 0.001 (0.002)	Loss 1.7468 (1.8559)	Prec@1 54.688 (51.529)	Prec@5 78.906 (81.183)
Epoch: [68][7910/14090]	Time 0.872 (0.763)	Data 0.001 (0.002)	Loss 1.6255 (1.8560)	Prec@1 57.812 (51.530)	Prec@5 84.375 (81.182)
Epoch: [68][7920/14090]	Time 0.724 (0.763)	Data 0.001 (0.002)	Loss 1.8627 (1.8560)	Prec@1 59.375 (51.529)	Prec@5 81.250 (81.181)
Epoch: [68][7930/14090]	Time 0.771 (0.763)	Data 0.001 (0.002)	Loss 1.8548 (1.8560)	Prec@1 53.125 (51.529)	Prec@5 84.375 (81.182)
Epoch: [68][7940/14090]	Time 0.740 (0.763)	Data 0.001 (0.002)	Loss 1.9454 (1.8561)	Prec@1 50.781 (51.529)	Prec@5 82.812 (81.183)
Epoch: [68][7950/14090]	Time 0.733 (0.763)	Data 0.001 (0.002)	Loss 1.6732 (1.8560)	Prec@1 53.125 (51.529)	Prec@5 85.156 (81.184)
Epoch: [68][7960/14090]	Time 0.732 (0.763)	Data 0.001 (0.002)	Loss 1.8311 (1.8560)	Prec@1 51.562 (51.529)	Prec@5 82.031 (81.185)
Epoch: [68][7970/14090]	Time 0.764 (0.763)	Data 0.001 (0.002)	Loss 1.9167 (1.8560)	Prec@1 51.562 (51.529)	Prec@5 82.031 (81.186)
Epoch: [68][7980/14090]	Time 0.799 (0.763)	Data 0.001 (0.002)	Loss 1.8001 (1.8560)	Prec@1 50.000 (51.530)	Prec@5 79.688 (81.186)
Epoch: [68][7990/14090]	Time 0.727 (0.763)	Data 0.001 (0.002)	Loss 1.7848 (1.8560)	Prec@1 52.344 (51.531)	Prec@5 82.031 (81.187)
Epoch: [68][8000/14090]	Time 0.763 (0.763)	Data 0.001 (0.002)	Loss 2.0430 (1.8560)	Prec@1 45.312 (51.530)	Prec@5 78.125 (81.186)
Epoch: [68][8010/14090]	Time 0.724 (0.763)	Data 0.001 (0.002)	Loss 1.7169 (1.8561)	Prec@1 61.719 (51.531)	Prec@5 80.469 (81.184)
Epoch: [68][8020/14090]	Time 0.750 (0.763)	Data 0.001 (0.002)	Loss 1.8280 (1.8561)	Prec@1 56.250 (51.532)	Prec@5 83.594 (81.184)
Epoch: [68][8030/14090]	Time 0.751 (0.763)	Data 0.001 (0.002)	Loss 1.7565 (1.8559)	Prec@1 50.781 (51.534)	Prec@5 82.031 (81.187)
Epoch: [68][8040/14090]	Time 0.726 (0.763)	Data 0.001 (0.002)	Loss 1.9264 (1.8560)	Prec@1 46.875 (51.534)	Prec@5 82.812 (81.187)
Epoch: [68][8050/14090]	Time 0.850 (0.763)	Data 0.001 (0.002)	Loss 1.8294 (1.8560)	Prec@1 49.219 (51.533)	Prec@5 82.812 (81.186)
Epoch: [68][8060/14090]	Time 0.753 (0.763)	Data 0.001 (0.002)	Loss 1.7267 (1.8560)	Prec@1 50.000 (51.534)	Prec@5 82.031 (81.186)
Epoch: [68][8070/14090]	Time 0.753 (0.763)	Data 0.001 (0.002)	Loss 1.7876 (1.8561)	Prec@1 51.562 (51.532)	Prec@5 82.812 (81.186)
Epoch: [68][8080/14090]	Time 0.723 (0.763)	Data 0.001 (0.002)	Loss 1.8544 (1.8561)	Prec@1 48.438 (51.532)	Prec@5 80.469 (81.185)
Epoch: [68][8090/14090]	Time 0.734 (0.763)	Data 0.001 (0.002)	Loss 1.8249 (1.8561)	Prec@1 56.250 (51.533)	Prec@5 83.594 (81.186)
Epoch: [68][8100/14090]	Time 0.757 (0.763)	Data 0.001 (0.002)	Loss 1.9436 (1.8561)	Prec@1 47.656 (51.532)	Prec@5 81.250 (81.187)
Epoch: [68][8110/14090]	Time 0.750 (0.763)	Data 0.001 (0.002)	Loss 1.9455 (1.8561)	Prec@1 54.688 (51.532)	Prec@5 78.125 (81.188)
Epoch: [68][8120/14090]	Time 0.848 (0.763)	Data 0.001 (0.002)	Loss 1.9880 (1.8561)	Prec@1 49.219 (51.531)	Prec@5 76.562 (81.187)
Epoch: [68][8130/14090]	Time 0.770 (0.763)	Data 0.001 (0.002)	Loss 1.7745 (1.8561)	Prec@1 54.688 (51.531)	Prec@5 82.031 (81.189)
Epoch: [68][8140/14090]	Time 0.724 (0.763)	Data 0.001 (0.002)	Loss 2.0928 (1.8560)	Prec@1 47.656 (51.535)	Prec@5 75.781 (81.190)
Epoch: [68][8150/14090]	Time 0.778 (0.763)	Data 0.001 (0.002)	Loss 1.8913 (1.8560)	Prec@1 53.906 (51.535)	Prec@5 79.688 (81.190)
Epoch: [68][8160/14090]	Time 0.727 (0.763)	Data 0.001 (0.002)	Loss 1.7800 (1.8559)	Prec@1 53.125 (51.537)	Prec@5 81.250 (81.190)
Epoch: [68][8170/14090]	Time 0.747 (0.763)	Data 0.001 (0.002)	Loss 1.6178 (1.8560)	Prec@1 55.469 (51.534)	Prec@5 86.719 (81.187)
Epoch: [68][8180/14090]	Time 0.726 (0.763)	Data 0.001 (0.002)	Loss 1.5835 (1.8559)	Prec@1 57.812 (51.536)	Prec@5 86.719 (81.190)
Epoch: [68][8190/14090]	Time 0.892 (0.763)	Data 0.001 (0.002)	Loss 1.8440 (1.8559)	Prec@1 52.344 (51.536)	Prec@5 80.469 (81.191)
Epoch: [68][8200/14090]	Time 0.730 (0.763)	Data 0.001 (0.002)	Loss 1.8426 (1.8559)	Prec@1 49.219 (51.534)	Prec@5 82.812 (81.192)
Epoch: [68][8210/14090]	Time 0.759 (0.763)	Data 0.001 (0.002)	Loss 1.7934 (1.8558)	Prec@1 53.906 (51.536)	Prec@5 81.250 (81.194)
Epoch: [68][8220/14090]	Time 0.747 (0.763)	Data 0.001 (0.002)	Loss 1.8331 (1.8558)	Prec@1 49.219 (51.537)	Prec@5 80.469 (81.196)
Epoch: [68][8230/14090]	Time 0.726 (0.763)	Data 0.001 (0.002)	Loss 1.7915 (1.8558)	Prec@1 52.344 (51.535)	Prec@5 77.344 (81.196)
Epoch: [68][8240/14090]	Time 0.746 (0.763)	Data 0.001 (0.002)	Loss 1.6900 (1.8558)	Prec@1 51.562 (51.535)	Prec@5 83.594 (81.196)
Epoch: [68][8250/14090]	Time 0.781 (0.763)	Data 0.001 (0.002)	Loss 1.9879 (1.8558)	Prec@1 47.656 (51.534)	Prec@5 78.125 (81.197)
Epoch: [68][8260/14090]	Time 0.880 (0.763)	Data 0.001 (0.002)	Loss 1.7912 (1.8558)	Prec@1 57.812 (51.536)	Prec@5 82.031 (81.197)
Epoch: [68][8270/14090]	Time 0.728 (0.763)	Data 0.001 (0.002)	Loss 1.6048 (1.8558)	Prec@1 53.906 (51.534)	Prec@5 84.375 (81.197)
Epoch: [68][8280/14090]	Time 0.738 (0.763)	Data 0.001 (0.002)	Loss 2.0949 (1.8559)	Prec@1 44.531 (51.532)	Prec@5 81.250 (81.194)
Epoch: [68][8290/14090]	Time 0.753 (0.763)	Data 0.001 (0.002)	Loss 1.8421 (1.8559)	Prec@1 50.781 (51.533)	Prec@5 78.906 (81.194)
Epoch: [68][8300/14090]	Time 0.721 (0.763)	Data 0.001 (0.002)	Loss 1.6478 (1.8559)	Prec@1 57.812 (51.535)	Prec@5 83.594 (81.194)
Epoch: [68][8310/14090]	Time 0.741 (0.763)	Data 0.001 (0.002)	Loss 1.5198 (1.8559)	Prec@1 57.812 (51.535)	Prec@5 85.938 (81.195)
Epoch: [68][8320/14090]	Time 0.736 (0.763)	Data 0.001 (0.002)	Loss 1.7474 (1.8558)	Prec@1 57.812 (51.537)	Prec@5 83.594 (81.195)
Epoch: [68][8330/14090]	Time 0.861 (0.763)	Data 0.001 (0.002)	Loss 1.7171 (1.8558)	Prec@1 51.562 (51.537)	Prec@5 85.938 (81.194)
Epoch: [68][8340/14090]	Time 0.731 (0.763)	Data 0.001 (0.002)	Loss 1.8156 (1.8559)	Prec@1 53.125 (51.536)	Prec@5 82.812 (81.194)
Epoch: [68][8350/14090]	Time 0.728 (0.763)	Data 0.001 (0.002)	Loss 2.0481 (1.8558)	Prec@1 51.562 (51.539)	Prec@5 77.344 (81.195)
Epoch: [68][8360/14090]	Time 0.769 (0.763)	Data 0.001 (0.002)	Loss 1.5539 (1.8556)	Prec@1 55.469 (51.542)	Prec@5 85.156 (81.198)
Epoch: [68][8370/14090]	Time 0.737 (0.763)	Data 0.001 (0.002)	Loss 1.9271 (1.8556)	Prec@1 53.125 (51.544)	Prec@5 81.250 (81.198)
Epoch: [68][8380/14090]	Time 0.729 (0.763)	Data 0.001 (0.002)	Loss 1.7196 (1.8556)	Prec@1 54.688 (51.544)	Prec@5 82.031 (81.198)
Epoch: [68][8390/14090]	Time 0.781 (0.763)	Data 0.001 (0.002)	Loss 1.9992 (1.8556)	Prec@1 46.875 (51.541)	Prec@5 78.125 (81.198)
Epoch: [68][8400/14090]	Time 0.861 (0.763)	Data 0.001 (0.002)	Loss 1.6660 (1.8556)	Prec@1 57.812 (51.543)	Prec@5 84.375 (81.199)
Epoch: [68][8410/14090]	Time 0.744 (0.763)	Data 0.001 (0.002)	Loss 1.8895 (1.8557)	Prec@1 53.906 (51.539)	Prec@5 79.688 (81.198)
Epoch: [68][8420/14090]	Time 0.782 (0.763)	Data 0.001 (0.002)	Loss 1.7810 (1.8556)	Prec@1 52.344 (51.540)	Prec@5 84.375 (81.199)
Epoch: [68][8430/14090]	Time 0.746 (0.763)	Data 0.001 (0.002)	Loss 1.9120 (1.8557)	Prec@1 48.438 (51.538)	Prec@5 82.812 (81.199)
Epoch: [68][8440/14090]	Time 0.748 (0.763)	Data 0.001 (0.002)	Loss 2.2679 (1.8557)	Prec@1 42.969 (51.536)	Prec@5 75.000 (81.200)
Epoch: [68][8450/14090]	Time 0.751 (0.763)	Data 0.001 (0.002)	Loss 2.1073 (1.8558)	Prec@1 53.125 (51.536)	Prec@5 78.906 (81.199)
Epoch: [68][8460/14090]	Time 0.769 (0.763)	Data 0.001 (0.002)	Loss 1.9645 (1.8560)	Prec@1 50.000 (51.533)	Prec@5 78.906 (81.196)
Epoch: [68][8470/14090]	Time 0.879 (0.763)	Data 0.001 (0.002)	Loss 1.7505 (1.8560)	Prec@1 46.875 (51.532)	Prec@5 82.031 (81.195)
Epoch: [68][8480/14090]	Time 0.731 (0.763)	Data 0.001 (0.002)	Loss 1.7384 (1.8559)	Prec@1 50.000 (51.532)	Prec@5 82.031 (81.194)
Epoch: [68][8490/14090]	Time 0.743 (0.763)	Data 0.001 (0.002)	Loss 1.8317 (1.8559)	Prec@1 53.125 (51.533)	Prec@5 78.125 (81.195)
Epoch: [68][8500/14090]	Time 0.765 (0.763)	Data 0.001 (0.002)	Loss 2.0735 (1.8560)	Prec@1 51.562 (51.531)	Prec@5 78.125 (81.194)
Epoch: [68][8510/14090]	Time 0.742 (0.763)	Data 0.001 (0.002)	Loss 1.7256 (1.8559)	Prec@1 53.906 (51.532)	Prec@5 83.594 (81.196)
Epoch: [68][8520/14090]	Time 0.754 (0.763)	Data 0.001 (0.002)	Loss 1.8360 (1.8559)	Prec@1 50.781 (51.532)	Prec@5 82.031 (81.196)
Epoch: [68][8530/14090]	Time 0.733 (0.763)	Data 0.001 (0.002)	Loss 1.8569 (1.8559)	Prec@1 53.125 (51.531)	Prec@5 84.375 (81.196)
Epoch: [68][8540/14090]	Time 0.875 (0.763)	Data 0.001 (0.002)	Loss 1.6932 (1.8559)	Prec@1 52.344 (51.531)	Prec@5 83.594 (81.194)
Epoch: [68][8550/14090]	Time 0.753 (0.763)	Data 0.001 (0.002)	Loss 2.0083 (1.8561)	Prec@1 47.656 (51.528)	Prec@5 79.688 (81.192)
Epoch: [68][8560/14090]	Time 0.726 (0.763)	Data 0.001 (0.002)	Loss 1.8340 (1.8561)	Prec@1 51.562 (51.526)	Prec@5 80.469 (81.191)
Epoch: [68][8570/14090]	Time 0.734 (0.763)	Data 0.001 (0.002)	Loss 1.7281 (1.8562)	Prec@1 48.438 (51.524)	Prec@5 81.250 (81.190)
Epoch: [68][8580/14090]	Time 0.739 (0.763)	Data 0.001 (0.002)	Loss 1.9512 (1.8562)	Prec@1 55.469 (51.526)	Prec@5 82.031 (81.191)
Epoch: [68][8590/14090]	Time 0.756 (0.763)	Data 0.001 (0.002)	Loss 1.8725 (1.8562)	Prec@1 47.656 (51.525)	Prec@5 80.469 (81.191)
Epoch: [68][8600/14090]	Time 0.731 (0.763)	Data 0.001 (0.002)	Loss 1.8536 (1.8562)	Prec@1 54.688 (51.526)	Prec@5 82.031 (81.190)
Epoch: [68][8610/14090]	Time 0.857 (0.763)	Data 0.001 (0.002)	Loss 1.6408 (1.8562)	Prec@1 53.906 (51.527)	Prec@5 85.156 (81.190)
Epoch: [68][8620/14090]	Time 0.731 (0.763)	Data 0.001 (0.002)	Loss 2.0152 (1.8562)	Prec@1 51.562 (51.527)	Prec@5 78.125 (81.190)
Epoch: [68][8630/14090]	Time 0.738 (0.763)	Data 0.001 (0.002)	Loss 2.1505 (1.8562)	Prec@1 49.219 (51.526)	Prec@5 75.781 (81.189)
Epoch: [68][8640/14090]	Time 0.755 (0.763)	Data 0.001 (0.002)	Loss 2.1525 (1.8562)	Prec@1 42.969 (51.526)	Prec@5 78.125 (81.189)
Epoch: [68][8650/14090]	Time 0.736 (0.763)	Data 0.001 (0.002)	Loss 1.7746 (1.8562)	Prec@1 50.000 (51.528)	Prec@5 81.250 (81.189)
Epoch: [68][8660/14090]	Time 0.753 (0.763)	Data 0.001 (0.002)	Loss 1.9578 (1.8562)	Prec@1 50.781 (51.529)	Prec@5 76.562 (81.189)
Epoch: [68][8670/14090]	Time 0.749 (0.763)	Data 0.001 (0.002)	Loss 1.9222 (1.8562)	Prec@1 50.000 (51.530)	Prec@5 82.031 (81.188)
Epoch: [68][8680/14090]	Time 0.853 (0.763)	Data 0.001 (0.002)	Loss 1.7683 (1.8562)	Prec@1 53.906 (51.532)	Prec@5 82.031 (81.190)
Epoch: [68][8690/14090]	Time 0.729 (0.763)	Data 0.001 (0.002)	Loss 2.0202 (1.8562)	Prec@1 40.625 (51.531)	Prec@5 81.250 (81.190)
Epoch: [68][8700/14090]	Time 0.725 (0.763)	Data 0.001 (0.002)	Loss 1.8800 (1.8562)	Prec@1 52.344 (51.530)	Prec@5 82.812 (81.189)
Epoch: [68][8710/14090]	Time 0.749 (0.763)	Data 0.001 (0.002)	Loss 2.1042 (1.8563)	Prec@1 49.219 (51.529)	Prec@5 75.781 (81.187)
Epoch: [68][8720/14090]	Time 0.732 (0.763)	Data 0.001 (0.001)	Loss 1.7998 (1.8562)	Prec@1 57.031 (51.529)	Prec@5 82.031 (81.188)
Epoch: [68][8730/14090]	Time 0.749 (0.763)	Data 0.001 (0.001)	Loss 1.5218 (1.8562)	Prec@1 57.812 (51.530)	Prec@5 87.500 (81.189)
Epoch: [68][8740/14090]	Time 0.780 (0.763)	Data 0.001 (0.001)	Loss 1.9528 (1.8563)	Prec@1 50.000 (51.529)	Prec@5 78.125 (81.187)
Epoch: [68][8750/14090]	Time 0.900 (0.763)	Data 0.001 (0.001)	Loss 1.8301 (1.8564)	Prec@1 47.656 (51.527)	Prec@5 84.375 (81.187)
Epoch: [68][8760/14090]	Time 0.728 (0.763)	Data 0.001 (0.001)	Loss 1.7996 (1.8564)	Prec@1 56.250 (51.527)	Prec@5 81.250 (81.185)
Epoch: [68][8770/14090]	Time 0.742 (0.763)	Data 0.001 (0.001)	Loss 1.8037 (1.8563)	Prec@1 53.906 (51.528)	Prec@5 82.031 (81.185)
Epoch: [68][8780/14090]	Time 0.743 (0.763)	Data 0.001 (0.001)	Loss 1.5871 (1.8563)	Prec@1 56.250 (51.530)	Prec@5 85.156 (81.186)
Epoch: [68][8790/14090]	Time 0.724 (0.763)	Data 0.002 (0.001)	Loss 1.9398 (1.8563)	Prec@1 51.562 (51.530)	Prec@5 78.125 (81.185)
Epoch: [68][8800/14090]	Time 0.750 (0.763)	Data 0.001 (0.001)	Loss 1.6976 (1.8563)	Prec@1 57.031 (51.532)	Prec@5 83.594 (81.185)
Epoch: [68][8810/14090]	Time 0.758 (0.763)	Data 0.001 (0.001)	Loss 1.8674 (1.8563)	Prec@1 52.344 (51.531)	Prec@5 83.594 (81.185)
Epoch: [68][8820/14090]	Time 0.861 (0.763)	Data 0.001 (0.001)	Loss 1.9795 (1.8564)	Prec@1 53.906 (51.529)	Prec@5 76.562 (81.183)
Epoch: [68][8830/14090]	Time 0.737 (0.763)	Data 0.001 (0.001)	Loss 1.6776 (1.8565)	Prec@1 56.250 (51.529)	Prec@5 85.156 (81.183)
Epoch: [68][8840/14090]	Time 0.732 (0.763)	Data 0.001 (0.001)	Loss 1.7373 (1.8564)	Prec@1 55.469 (51.531)	Prec@5 81.250 (81.182)
Epoch: [68][8850/14090]	Time 0.723 (0.763)	Data 0.001 (0.001)	Loss 1.7569 (1.8564)	Prec@1 53.125 (51.531)	Prec@5 84.375 (81.182)
Epoch: [68][8860/14090]	Time 0.751 (0.763)	Data 0.001 (0.001)	Loss 1.6699 (1.8563)	Prec@1 52.344 (51.534)	Prec@5 80.469 (81.184)
Epoch: [68][8870/14090]	Time 0.743 (0.763)	Data 0.001 (0.001)	Loss 2.0655 (1.8563)	Prec@1 50.781 (51.535)	Prec@5 75.000 (81.183)
Epoch: [68][8880/14090]	Time 0.773 (0.763)	Data 0.001 (0.001)	Loss 1.9514 (1.8564)	Prec@1 43.750 (51.535)	Prec@5 79.688 (81.183)
Epoch: [68][8890/14090]	Time 0.875 (0.763)	Data 0.001 (0.001)	Loss 1.7017 (1.8564)	Prec@1 57.031 (51.533)	Prec@5 85.938 (81.184)
Epoch: [68][8900/14090]	Time 0.745 (0.763)	Data 0.001 (0.001)	Loss 1.5773 (1.8564)	Prec@1 57.031 (51.532)	Prec@5 85.156 (81.183)
Epoch: [68][8910/14090]	Time 0.734 (0.763)	Data 0.001 (0.001)	Loss 1.7962 (1.8565)	Prec@1 50.000 (51.531)	Prec@5 82.812 (81.182)
Epoch: [68][8920/14090]	Time 0.749 (0.763)	Data 0.001 (0.001)	Loss 1.9275 (1.8565)	Prec@1 47.656 (51.529)	Prec@5 80.469 (81.182)
Epoch: [68][8930/14090]	Time 0.757 (0.763)	Data 0.001 (0.001)	Loss 1.8985 (1.8564)	Prec@1 50.000 (51.529)	Prec@5 77.344 (81.183)
Epoch: [68][8940/14090]	Time 0.740 (0.763)	Data 0.001 (0.001)	Loss 1.6524 (1.8564)	Prec@1 56.250 (51.530)	Prec@5 85.156 (81.184)
Epoch: [68][8950/14090]	Time 0.740 (0.763)	Data 0.001 (0.001)	Loss 1.9035 (1.8563)	Prec@1 54.688 (51.533)	Prec@5 78.906 (81.185)
Epoch: [68][8960/14090]	Time 0.860 (0.763)	Data 0.001 (0.001)	Loss 1.7858 (1.8563)	Prec@1 55.469 (51.533)	Prec@5 81.250 (81.185)
Epoch: [68][8970/14090]	Time 0.774 (0.763)	Data 0.001 (0.001)	Loss 2.2821 (1.8564)	Prec@1 42.188 (51.533)	Prec@5 75.000 (81.185)
Epoch: [68][8980/14090]	Time 0.761 (0.763)	Data 0.001 (0.001)	Loss 2.0417 (1.8564)	Prec@1 48.438 (51.532)	Prec@5 79.688 (81.185)
Epoch: [68][8990/14090]	Time 0.729 (0.763)	Data 0.001 (0.001)	Loss 1.8304 (1.8564)	Prec@1 56.250 (51.533)	Prec@5 82.031 (81.186)
Epoch: [68][9000/14090]	Time 0.757 (0.763)	Data 0.001 (0.001)	Loss 1.8869 (1.8564)	Prec@1 52.344 (51.533)	Prec@5 78.125 (81.187)
Epoch: [68][9010/14090]	Time 0.751 (0.763)	Data 0.001 (0.001)	Loss 1.8410 (1.8564)	Prec@1 53.906 (51.530)	Prec@5 81.250 (81.186)
Epoch: [68][9020/14090]	Time 0.771 (0.763)	Data 0.001 (0.001)	Loss 1.7382 (1.8564)	Prec@1 52.344 (51.530)	Prec@5 83.594 (81.186)
Epoch: [68][9030/14090]	Time 0.857 (0.763)	Data 0.001 (0.001)	Loss 1.9642 (1.8564)	Prec@1 50.000 (51.530)	Prec@5 83.594 (81.187)
Epoch: [68][9040/14090]	Time 0.734 (0.763)	Data 0.001 (0.001)	Loss 1.6328 (1.8563)	Prec@1 57.812 (51.530)	Prec@5 83.594 (81.188)
Epoch: [68][9050/14090]	Time 0.729 (0.762)	Data 0.001 (0.001)	Loss 1.9189 (1.8563)	Prec@1 50.781 (51.531)	Prec@5 82.812 (81.188)
Epoch: [68][9060/14090]	Time 0.742 (0.763)	Data 0.001 (0.001)	Loss 1.9191 (1.8564)	Prec@1 43.750 (51.527)	Prec@5 82.031 (81.188)
Epoch: [68][9070/14090]	Time 0.720 (0.762)	Data 0.001 (0.001)	Loss 2.1941 (1.8564)	Prec@1 49.219 (51.527)	Prec@5 77.344 (81.189)
Epoch: [68][9080/14090]	Time 0.765 (0.762)	Data 0.001 (0.001)	Loss 2.0651 (1.8563)	Prec@1 47.656 (51.530)	Prec@5 76.562 (81.190)
Epoch: [68][9090/14090]	Time 0.771 (0.762)	Data 0.001 (0.001)	Loss 1.7422 (1.8563)	Prec@1 57.031 (51.530)	Prec@5 79.688 (81.190)
Epoch: [68][9100/14090]	Time 0.815 (0.762)	Data 0.001 (0.001)	Loss 1.9250 (1.8564)	Prec@1 46.875 (51.528)	Prec@5 85.156 (81.189)
Epoch: [68][9110/14090]	Time 0.724 (0.762)	Data 0.001 (0.001)	Loss 1.9276 (1.8564)	Prec@1 46.875 (51.528)	Prec@5 82.812 (81.190)
Epoch: [68][9120/14090]	Time 0.727 (0.762)	Data 0.001 (0.001)	Loss 1.6970 (1.8563)	Prec@1 53.125 (51.529)	Prec@5 81.250 (81.192)
Epoch: [68][9130/14090]	Time 0.744 (0.762)	Data 0.001 (0.001)	Loss 1.8537 (1.8564)	Prec@1 47.656 (51.527)	Prec@5 83.594 (81.190)
Epoch: [68][9140/14090]	Time 0.724 (0.762)	Data 0.001 (0.001)	Loss 1.8923 (1.8563)	Prec@1 52.344 (51.531)	Prec@5 79.688 (81.191)
Epoch: [68][9150/14090]	Time 0.759 (0.763)	Data 0.001 (0.001)	Loss 1.6973 (1.8564)	Prec@1 60.156 (51.529)	Prec@5 82.031 (81.189)
Epoch: [68][9160/14090]	Time 0.750 (0.762)	Data 0.001 (0.001)	Loss 1.8203 (1.8564)	Prec@1 55.469 (51.528)	Prec@5 82.031 (81.189)
Epoch: [68][9170/14090]	Time 0.855 (0.762)	Data 0.001 (0.001)	Loss 1.6779 (1.8564)	Prec@1 60.938 (51.529)	Prec@5 82.031 (81.188)
Epoch: [68][9180/14090]	Time 0.744 (0.762)	Data 0.001 (0.001)	Loss 1.8908 (1.8563)	Prec@1 55.469 (51.529)	Prec@5 78.125 (81.189)
Epoch: [68][9190/14090]	Time 0.726 (0.762)	Data 0.001 (0.001)	Loss 2.0386 (1.8564)	Prec@1 46.875 (51.527)	Prec@5 79.688 (81.189)
Epoch: [68][9200/14090]	Time 0.746 (0.762)	Data 0.001 (0.001)	Loss 1.6759 (1.8564)	Prec@1 56.250 (51.525)	Prec@5 84.375 (81.188)
Epoch: [68][9210/14090]	Time 0.733 (0.762)	Data 0.001 (0.001)	Loss 1.6729 (1.8564)	Prec@1 60.156 (51.526)	Prec@5 84.375 (81.187)
Epoch: [68][9220/14090]	Time 0.729 (0.762)	Data 0.001 (0.001)	Loss 1.7198 (1.8563)	Prec@1 57.031 (51.528)	Prec@5 80.469 (81.188)
Epoch: [68][9230/14090]	Time 0.753 (0.762)	Data 0.001 (0.001)	Loss 1.6855 (1.8563)	Prec@1 57.031 (51.530)	Prec@5 81.250 (81.189)
Epoch: [68][9240/14090]	Time 0.842 (0.762)	Data 0.001 (0.001)	Loss 2.0592 (1.8562)	Prec@1 49.219 (51.531)	Prec@5 77.344 (81.190)
Epoch: [68][9250/14090]	Time 0.751 (0.762)	Data 0.001 (0.001)	Loss 1.6178 (1.8561)	Prec@1 58.594 (51.530)	Prec@5 85.156 (81.192)
Epoch: [68][9260/14090]	Time 0.750 (0.762)	Data 0.001 (0.001)	Loss 2.0218 (1.8562)	Prec@1 44.531 (51.527)	Prec@5 79.688 (81.191)
Epoch: [68][9270/14090]	Time 0.753 (0.762)	Data 0.001 (0.001)	Loss 1.7711 (1.8563)	Prec@1 54.688 (51.527)	Prec@5 85.156 (81.191)
Epoch: [68][9280/14090]	Time 0.735 (0.762)	Data 0.001 (0.001)	Loss 1.9186 (1.8563)	Prec@1 52.344 (51.526)	Prec@5 77.344 (81.190)
Epoch: [68][9290/14090]	Time 0.755 (0.762)	Data 0.001 (0.001)	Loss 1.9253 (1.8563)	Prec@1 53.125 (51.528)	Prec@5 82.812 (81.190)
Epoch: [68][9300/14090]	Time 0.761 (0.762)	Data 0.001 (0.001)	Loss 1.7212 (1.8562)	Prec@1 52.344 (51.530)	Prec@5 85.156 (81.192)
Epoch: [68][9310/14090]	Time 0.866 (0.762)	Data 0.001 (0.001)	Loss 1.6431 (1.8563)	Prec@1 60.938 (51.529)	Prec@5 86.719 (81.192)
Epoch: [68][9320/14090]	Time 0.758 (0.762)	Data 0.001 (0.001)	Loss 1.8850 (1.8562)	Prec@1 49.219 (51.532)	Prec@5 78.906 (81.193)
Epoch: [68][9330/14090]	Time 0.727 (0.762)	Data 0.001 (0.001)	Loss 1.8138 (1.8562)	Prec@1 56.250 (51.530)	Prec@5 80.469 (81.193)
Epoch: [68][9340/14090]	Time 0.740 (0.762)	Data 0.001 (0.001)	Loss 1.8835 (1.8562)	Prec@1 47.656 (51.531)	Prec@5 82.812 (81.193)
Epoch: [68][9350/14090]	Time 0.733 (0.762)	Data 0.001 (0.001)	Loss 2.0989 (1.8562)	Prec@1 45.312 (51.532)	Prec@5 75.000 (81.192)
Epoch: [68][9360/14090]	Time 0.752 (0.762)	Data 0.001 (0.001)	Loss 2.1344 (1.8562)	Prec@1 46.094 (51.534)	Prec@5 77.344 (81.192)
Epoch: [68][9370/14090]	Time 0.737 (0.762)	Data 0.001 (0.001)	Loss 1.6683 (1.8562)	Prec@1 52.344 (51.536)	Prec@5 85.938 (81.194)
Epoch: [68][9380/14090]	Time 0.868 (0.762)	Data 0.001 (0.001)	Loss 1.7063 (1.8562)	Prec@1 57.031 (51.536)	Prec@5 84.375 (81.194)
Epoch: [68][9390/14090]	Time 0.723 (0.762)	Data 0.001 (0.001)	Loss 2.0372 (1.8562)	Prec@1 45.312 (51.535)	Prec@5 78.125 (81.194)
Epoch: [68][9400/14090]	Time 0.749 (0.762)	Data 0.001 (0.001)	Loss 1.8207 (1.8562)	Prec@1 49.219 (51.534)	Prec@5 80.469 (81.193)
Epoch: [68][9410/14090]	Time 0.731 (0.762)	Data 0.001 (0.001)	Loss 2.0485 (1.8563)	Prec@1 46.094 (51.534)	Prec@5 78.125 (81.192)
Epoch: [68][9420/14090]	Time 0.730 (0.762)	Data 0.001 (0.001)	Loss 1.9126 (1.8563)	Prec@1 47.656 (51.533)	Prec@5 81.250 (81.192)
Epoch: [68][9430/14090]	Time 0.755 (0.762)	Data 0.001 (0.001)	Loss 1.7731 (1.8562)	Prec@1 51.562 (51.534)	Prec@5 83.594 (81.192)
Epoch: [68][9440/14090]	Time 0.756 (0.762)	Data 0.001 (0.001)	Loss 1.6299 (1.8562)	Prec@1 58.594 (51.533)	Prec@5 87.500 (81.192)
Epoch: [68][9450/14090]	Time 0.871 (0.762)	Data 0.001 (0.001)	Loss 1.5009 (1.8562)	Prec@1 52.344 (51.533)	Prec@5 89.062 (81.193)
Epoch: [68][9460/14090]	Time 0.728 (0.762)	Data 0.001 (0.001)	Loss 1.8725 (1.8563)	Prec@1 53.125 (51.531)	Prec@5 79.688 (81.191)
Epoch: [68][9470/14090]	Time 0.742 (0.762)	Data 0.001 (0.001)	Loss 1.8687 (1.8563)	Prec@1 50.000 (51.531)	Prec@5 78.125 (81.191)
Epoch: [68][9480/14090]	Time 0.753 (0.762)	Data 0.001 (0.001)	Loss 1.6726 (1.8564)	Prec@1 52.344 (51.530)	Prec@5 86.719 (81.192)
Epoch: [68][9490/14090]	Time 0.732 (0.762)	Data 0.001 (0.001)	Loss 1.9933 (1.8563)	Prec@1 50.781 (51.532)	Prec@5 78.125 (81.191)
Epoch: [68][9500/14090]	Time 0.751 (0.762)	Data 0.001 (0.001)	Loss 1.9977 (1.8563)	Prec@1 50.781 (51.533)	Prec@5 76.562 (81.190)
Epoch: [68][9510/14090]	Time 0.779 (0.762)	Data 0.001 (0.001)	Loss 1.9018 (1.8563)	Prec@1 47.656 (51.533)	Prec@5 85.938 (81.189)
Epoch: [68][9520/14090]	Time 0.820 (0.762)	Data 0.001 (0.001)	Loss 2.0277 (1.8563)	Prec@1 49.219 (51.533)	Prec@5 72.656 (81.189)
Epoch: [68][9530/14090]	Time 0.724 (0.762)	Data 0.001 (0.001)	Loss 1.9212 (1.8564)	Prec@1 53.125 (51.533)	Prec@5 81.250 (81.188)
Epoch: [68][9540/14090]	Time 0.724 (0.762)	Data 0.001 (0.001)	Loss 1.8873 (1.8564)	Prec@1 45.312 (51.531)	Prec@5 80.469 (81.186)
Epoch: [68][9550/14090]	Time 0.730 (0.762)	Data 0.001 (0.001)	Loss 2.0229 (1.8564)	Prec@1 48.438 (51.533)	Prec@5 76.562 (81.186)
Epoch: [68][9560/14090]	Time 0.747 (0.762)	Data 0.001 (0.001)	Loss 1.7240 (1.8564)	Prec@1 58.594 (51.535)	Prec@5 82.031 (81.184)
Epoch: [68][9570/14090]	Time 0.747 (0.762)	Data 0.001 (0.001)	Loss 1.7978 (1.8564)	Prec@1 56.250 (51.535)	Prec@5 80.469 (81.185)
Epoch: [68][9580/14090]	Time 0.728 (0.762)	Data 0.001 (0.001)	Loss 1.7685 (1.8565)	Prec@1 44.531 (51.533)	Prec@5 85.156 (81.183)
Epoch: [68][9590/14090]	Time 0.864 (0.762)	Data 0.001 (0.001)	Loss 1.4289 (1.8564)	Prec@1 59.375 (51.534)	Prec@5 89.062 (81.184)
Epoch: [68][9600/14090]	Time 0.765 (0.762)	Data 0.001 (0.001)	Loss 2.1031 (1.8564)	Prec@1 49.219 (51.534)	Prec@5 77.344 (81.183)
Epoch: [68][9610/14090]	Time 0.744 (0.762)	Data 0.001 (0.001)	Loss 2.0762 (1.8564)	Prec@1 42.188 (51.535)	Prec@5 78.906 (81.182)
Epoch: [68][9620/14090]	Time 0.739 (0.762)	Data 0.001 (0.001)	Loss 1.8784 (1.8564)	Prec@1 54.688 (51.537)	Prec@5 82.031 (81.183)
Epoch: [68][9630/14090]	Time 0.732 (0.762)	Data 0.001 (0.001)	Loss 1.8039 (1.8564)	Prec@1 53.125 (51.538)	Prec@5 80.469 (81.181)
Epoch: [68][9640/14090]	Time 0.754 (0.762)	Data 0.001 (0.001)	Loss 1.8295 (1.8564)	Prec@1 49.219 (51.537)	Prec@5 82.031 (81.181)
Epoch: [68][9650/14090]	Time 0.730 (0.762)	Data 0.001 (0.001)	Loss 1.9404 (1.8566)	Prec@1 52.344 (51.533)	Prec@5 78.906 (81.179)
Epoch: [68][9660/14090]	Time 0.831 (0.762)	Data 0.001 (0.001)	Loss 1.8302 (1.8566)	Prec@1 50.000 (51.533)	Prec@5 82.812 (81.178)
Epoch: [68][9670/14090]	Time 0.740 (0.762)	Data 0.001 (0.001)	Loss 1.7017 (1.8566)	Prec@1 56.250 (51.532)	Prec@5 85.938 (81.179)
Epoch: [68][9680/14090]	Time 0.763 (0.762)	Data 0.001 (0.001)	Loss 1.7887 (1.8565)	Prec@1 48.438 (51.534)	Prec@5 77.344 (81.179)
Epoch: [68][9690/14090]	Time 0.732 (0.762)	Data 0.001 (0.001)	Loss 2.0696 (1.8565)	Prec@1 46.875 (51.536)	Prec@5 75.000 (81.180)
Epoch: [68][9700/14090]	Time 0.722 (0.762)	Data 0.001 (0.001)	Loss 1.7055 (1.8564)	Prec@1 52.344 (51.538)	Prec@5 82.812 (81.182)
Epoch: [68][9710/14090]	Time 0.758 (0.762)	Data 0.001 (0.001)	Loss 1.9852 (1.8564)	Prec@1 48.438 (51.537)	Prec@5 78.125 (81.182)
Epoch: [68][9720/14090]	Time 0.723 (0.762)	Data 0.001 (0.001)	Loss 1.9444 (1.8564)	Prec@1 47.656 (51.535)	Prec@5 82.031 (81.181)
Epoch: [68][9730/14090]	Time 0.856 (0.762)	Data 0.001 (0.001)	Loss 1.9555 (1.8564)	Prec@1 50.000 (51.536)	Prec@5 80.469 (81.182)
Epoch: [68][9740/14090]	Time 0.730 (0.762)	Data 0.001 (0.001)	Loss 1.7209 (1.8564)	Prec@1 56.250 (51.535)	Prec@5 81.250 (81.182)
Epoch: [68][9750/14090]	Time 0.746 (0.762)	Data 0.001 (0.001)	Loss 1.8661 (1.8564)	Prec@1 49.219 (51.534)	Prec@5 81.250 (81.182)
Epoch: [68][9760/14090]	Time 0.735 (0.762)	Data 0.001 (0.001)	Loss 1.9780 (1.8564)	Prec@1 49.219 (51.533)	Prec@5 75.781 (81.181)
Epoch: [68][9770/14090]	Time 0.742 (0.762)	Data 0.001 (0.001)	Loss 1.6617 (1.8564)	Prec@1 54.688 (51.533)	Prec@5 88.281 (81.181)
Epoch: [68][9780/14090]	Time 0.735 (0.762)	Data 0.001 (0.001)	Loss 1.6263 (1.8565)	Prec@1 54.688 (51.530)	Prec@5 87.500 (81.179)
Epoch: [68][9790/14090]	Time 0.723 (0.762)	Data 0.001 (0.001)	Loss 1.7326 (1.8566)	Prec@1 53.125 (51.528)	Prec@5 82.812 (81.177)
Epoch: [68][9800/14090]	Time 0.863 (0.762)	Data 0.001 (0.001)	Loss 1.8598 (1.8566)	Prec@1 49.219 (51.529)	Prec@5 80.469 (81.177)
Epoch: [68][9810/14090]	Time 0.760 (0.762)	Data 0.001 (0.001)	Loss 1.7364 (1.8566)	Prec@1 52.344 (51.528)	Prec@5 85.156 (81.177)
Epoch: [68][9820/14090]	Time 0.754 (0.762)	Data 0.001 (0.001)	Loss 1.9016 (1.8565)	Prec@1 53.125 (51.530)	Prec@5 79.688 (81.179)
Epoch: [68][9830/14090]	Time 0.716 (0.762)	Data 0.001 (0.001)	Loss 1.9421 (1.8566)	Prec@1 47.656 (51.528)	Prec@5 83.594 (81.179)
Epoch: [68][9840/14090]	Time 0.728 (0.762)	Data 0.001 (0.001)	Loss 1.8875 (1.8566)	Prec@1 50.000 (51.529)	Prec@5 78.906 (81.181)
Epoch: [68][9850/14090]	Time 0.757 (0.762)	Data 0.001 (0.001)	Loss 1.7959 (1.8566)	Prec@1 52.344 (51.527)	Prec@5 75.781 (81.179)
Epoch: [68][9860/14090]	Time 0.769 (0.762)	Data 0.001 (0.001)	Loss 1.8351 (1.8565)	Prec@1 54.688 (51.529)	Prec@5 78.125 (81.181)
Epoch: [68][9870/14090]	Time 0.882 (0.762)	Data 0.001 (0.001)	Loss 1.9251 (1.8566)	Prec@1 45.312 (51.527)	Prec@5 81.250 (81.181)
Epoch: [68][9880/14090]	Time 0.728 (0.762)	Data 0.001 (0.001)	Loss 1.6303 (1.8565)	Prec@1 58.594 (51.529)	Prec@5 86.719 (81.182)
Epoch: [68][9890/14090]	Time 0.725 (0.762)	Data 0.001 (0.001)	Loss 2.1544 (1.8565)	Prec@1 50.000 (51.529)	Prec@5 75.781 (81.182)
Epoch: [68][9900/14090]	Time 0.752 (0.762)	Data 0.001 (0.001)	Loss 1.8774 (1.8566)	Prec@1 53.125 (51.528)	Prec@5 80.469 (81.182)
Epoch: [68][9910/14090]	Time 0.742 (0.762)	Data 0.001 (0.001)	Loss 1.8189 (1.8565)	Prec@1 44.531 (51.527)	Prec@5 82.812 (81.182)
Epoch: [68][9920/14090]	Time 0.740 (0.762)	Data 0.001 (0.001)	Loss 1.7440 (1.8565)	Prec@1 59.375 (51.530)	Prec@5 83.594 (81.183)
Epoch: [68][9930/14090]	Time 0.744 (0.762)	Data 0.001 (0.001)	Loss 2.0055 (1.8565)	Prec@1 47.656 (51.528)	Prec@5 77.344 (81.182)
Epoch: [68][9940/14090]	Time 0.862 (0.762)	Data 0.001 (0.001)	Loss 1.9195 (1.8565)	Prec@1 50.000 (51.530)	Prec@5 82.031 (81.183)
Epoch: [68][9950/14090]	Time 0.749 (0.762)	Data 0.001 (0.001)	Loss 2.1981 (1.8565)	Prec@1 42.969 (51.529)	Prec@5 71.875 (81.182)
Epoch: [68][9960/14090]	Time 0.748 (0.762)	Data 0.001 (0.001)	Loss 1.7113 (1.8564)	Prec@1 57.031 (51.531)	Prec@5 82.031 (81.184)
Epoch: [68][9970/14090]	Time 0.734 (0.762)	Data 0.001 (0.001)	Loss 2.0191 (1.8564)	Prec@1 48.438 (51.535)	Prec@5 78.906 (81.183)
Epoch: [68][9980/14090]	Time 0.752 (0.762)	Data 0.001 (0.001)	Loss 1.7268 (1.8564)	Prec@1 51.562 (51.534)	Prec@5 81.250 (81.183)
Epoch: [68][9990/14090]	Time 0.749 (0.762)	Data 0.001 (0.001)	Loss 1.7771 (1.8564)	Prec@1 51.562 (51.532)	Prec@5 79.688 (81.183)
Epoch: [68][10000/14090]	Time 0.780 (0.762)	Data 0.001 (0.001)	Loss 1.8489 (1.8564)	Prec@1 49.219 (51.532)	Prec@5 83.594 (81.183)
Epoch: [68][10010/14090]	Time 0.870 (0.762)	Data 0.001 (0.001)	Loss 1.9982 (1.8564)	Prec@1 52.344 (51.531)	Prec@5 76.562 (81.183)
Epoch: [68][10020/14090]	Time 0.782 (0.762)	Data 0.001 (0.001)	Loss 1.7002 (1.8564)	Prec@1 56.250 (51.531)	Prec@5 82.812 (81.184)
Epoch: [68][10030/14090]	Time 0.777 (0.762)	Data 0.001 (0.001)	Loss 1.7661 (1.8565)	Prec@1 49.219 (51.529)	Prec@5 84.375 (81.183)
Epoch: [68][10040/14090]	Time 0.734 (0.762)	Data 0.001 (0.001)	Loss 1.5895 (1.8565)	Prec@1 53.125 (51.527)	Prec@5 89.062 (81.183)
Epoch: [68][10050/14090]	Time 0.739 (0.762)	Data 0.001 (0.001)	Loss 1.8017 (1.8565)	Prec@1 49.219 (51.529)	Prec@5 83.594 (81.183)
Epoch: [68][10060/14090]	Time 0.752 (0.762)	Data 0.001 (0.001)	Loss 1.8088 (1.8564)	Prec@1 49.219 (51.531)	Prec@5 82.031 (81.185)
Epoch: [68][10070/14090]	Time 0.765 (0.762)	Data 0.001 (0.001)	Loss 2.2789 (1.8565)	Prec@1 39.844 (51.530)	Prec@5 75.000 (81.183)
Epoch: [68][10080/14090]	Time 0.834 (0.762)	Data 0.001 (0.001)	Loss 1.9691 (1.8564)	Prec@1 50.781 (51.532)	Prec@5 76.562 (81.183)
Epoch: [68][10090/14090]	Time 0.728 (0.762)	Data 0.001 (0.001)	Loss 2.1316 (1.8564)	Prec@1 45.312 (51.531)	Prec@5 72.656 (81.183)
Epoch: [68][10100/14090]	Time 0.748 (0.762)	Data 0.001 (0.001)	Loss 1.8157 (1.8564)	Prec@1 55.469 (51.532)	Prec@5 78.906 (81.183)
Epoch: [68][10110/14090]	Time 0.727 (0.762)	Data 0.001 (0.001)	Loss 1.9806 (1.8564)	Prec@1 44.531 (51.531)	Prec@5 78.906 (81.184)
Epoch: [68][10120/14090]	Time 0.745 (0.762)	Data 0.001 (0.001)	Loss 1.9823 (1.8564)	Prec@1 48.438 (51.531)	Prec@5 80.469 (81.183)
Epoch: [68][10130/14090]	Time 0.740 (0.762)	Data 0.001 (0.001)	Loss 1.6078 (1.8564)	Prec@1 58.594 (51.530)	Prec@5 85.156 (81.183)
Epoch: [68][10140/14090]	Time 0.745 (0.762)	Data 0.001 (0.001)	Loss 2.0745 (1.8565)	Prec@1 40.625 (51.525)	Prec@5 82.812 (81.181)
Epoch: [68][10150/14090]	Time 0.871 (0.762)	Data 0.001 (0.001)	Loss 1.8246 (1.8565)	Prec@1 50.000 (51.527)	Prec@5 81.250 (81.182)
Epoch: [68][10160/14090]	Time 0.728 (0.762)	Data 0.001 (0.001)	Loss 1.9627 (1.8564)	Prec@1 47.656 (51.527)	Prec@5 81.250 (81.183)
Epoch: [68][10170/14090]	Time 0.730 (0.762)	Data 0.001 (0.001)	Loss 1.6517 (1.8564)	Prec@1 58.594 (51.528)	Prec@5 82.812 (81.183)
Epoch: [68][10180/14090]	Time 0.752 (0.762)	Data 0.001 (0.001)	Loss 1.9882 (1.8564)	Prec@1 46.875 (51.529)	Prec@5 79.688 (81.183)
Epoch: [68][10190/14090]	Time 0.737 (0.762)	Data 0.001 (0.001)	Loss 1.6977 (1.8565)	Prec@1 53.125 (51.529)	Prec@5 81.250 (81.182)
Epoch: [68][10200/14090]	Time 0.754 (0.762)	Data 0.001 (0.001)	Loss 2.0681 (1.8564)	Prec@1 50.781 (51.529)	Prec@5 74.219 (81.183)
Epoch: [68][10210/14090]	Time 0.742 (0.762)	Data 0.001 (0.001)	Loss 1.6681 (1.8564)	Prec@1 54.688 (51.529)	Prec@5 84.375 (81.183)
Epoch: [68][10220/14090]	Time 0.893 (0.762)	Data 0.001 (0.001)	Loss 1.8187 (1.8563)	Prec@1 56.250 (51.530)	Prec@5 81.250 (81.184)
Epoch: [68][10230/14090]	Time 0.723 (0.762)	Data 0.001 (0.001)	Loss 1.7299 (1.8563)	Prec@1 60.938 (51.532)	Prec@5 82.812 (81.184)
Epoch: [68][10240/14090]	Time 0.727 (0.762)	Data 0.001 (0.001)	Loss 1.6467 (1.8562)	Prec@1 54.688 (51.534)	Prec@5 88.281 (81.184)
Epoch: [68][10250/14090]	Time 0.743 (0.762)	Data 0.001 (0.001)	Loss 1.7502 (1.8562)	Prec@1 53.125 (51.534)	Prec@5 83.594 (81.184)
Epoch: [68][10260/14090]	Time 0.725 (0.762)	Data 0.001 (0.001)	Loss 1.7521 (1.8563)	Prec@1 56.250 (51.536)	Prec@5 79.688 (81.183)
Epoch: [68][10270/14090]	Time 0.734 (0.762)	Data 0.001 (0.001)	Loss 1.6388 (1.8564)	Prec@1 60.938 (51.535)	Prec@5 82.812 (81.181)
Epoch: [68][10280/14090]	Time 0.737 (0.762)	Data 0.001 (0.001)	Loss 2.0212 (1.8564)	Prec@1 45.312 (51.535)	Prec@5 78.906 (81.180)
Epoch: [68][10290/14090]	Time 0.870 (0.762)	Data 0.001 (0.001)	Loss 1.9296 (1.8564)	Prec@1 48.438 (51.533)	Prec@5 78.906 (81.180)
Epoch: [68][10300/14090]	Time 0.747 (0.762)	Data 0.001 (0.001)	Loss 1.8829 (1.8565)	Prec@1 54.688 (51.533)	Prec@5 82.812 (81.179)
Epoch: [68][10310/14090]	Time 0.731 (0.762)	Data 0.001 (0.001)	Loss 1.9134 (1.8565)	Prec@1 50.000 (51.531)	Prec@5 82.031 (81.179)
Epoch: [68][10320/14090]	Time 0.722 (0.762)	Data 0.001 (0.001)	Loss 1.9243 (1.8566)	Prec@1 51.562 (51.530)	Prec@5 81.250 (81.179)
Epoch: [68][10330/14090]	Time 0.741 (0.762)	Data 0.001 (0.001)	Loss 1.8778 (1.8566)	Prec@1 53.125 (51.530)	Prec@5 75.000 (81.178)
Epoch: [68][10340/14090]	Time 0.754 (0.762)	Data 0.001 (0.001)	Loss 1.8538 (1.8566)	Prec@1 50.000 (51.529)	Prec@5 82.031 (81.177)
Epoch: [68][10350/14090]	Time 0.751 (0.762)	Data 0.001 (0.001)	Loss 1.7331 (1.8567)	Prec@1 55.469 (51.526)	Prec@5 81.250 (81.176)
Epoch: [68][10360/14090]	Time 0.871 (0.762)	Data 0.001 (0.001)	Loss 2.0267 (1.8567)	Prec@1 48.438 (51.526)	Prec@5 80.469 (81.175)
Epoch: [68][10370/14090]	Time 0.723 (0.762)	Data 0.001 (0.001)	Loss 1.9786 (1.8567)	Prec@1 49.219 (51.526)	Prec@5 75.781 (81.175)
Epoch: [68][10380/14090]	Time 0.775 (0.762)	Data 0.001 (0.001)	Loss 1.8963 (1.8567)	Prec@1 54.688 (51.527)	Prec@5 83.594 (81.175)
Epoch: [68][10390/14090]	Time 0.751 (0.762)	Data 0.001 (0.001)	Loss 1.7666 (1.8568)	Prec@1 50.781 (51.525)	Prec@5 81.250 (81.174)
Epoch: [68][10400/14090]	Time 0.719 (0.762)	Data 0.001 (0.001)	Loss 1.9906 (1.8568)	Prec@1 47.656 (51.525)	Prec@5 78.125 (81.174)
Epoch: [68][10410/14090]	Time 0.756 (0.762)	Data 0.001 (0.001)	Loss 1.7137 (1.8568)	Prec@1 50.781 (51.525)	Prec@5 85.938 (81.173)
Epoch: [68][10420/14090]	Time 0.774 (0.762)	Data 0.001 (0.001)	Loss 1.9295 (1.8569)	Prec@1 50.781 (51.524)	Prec@5 82.031 (81.173)
Epoch: [68][10430/14090]	Time 0.862 (0.762)	Data 0.001 (0.001)	Loss 1.5896 (1.8568)	Prec@1 51.562 (51.526)	Prec@5 85.938 (81.174)
Epoch: [68][10440/14090]	Time 0.747 (0.762)	Data 0.001 (0.001)	Loss 1.8559 (1.8569)	Prec@1 52.344 (51.525)	Prec@5 80.469 (81.173)
Epoch: [68][10450/14090]	Time 0.748 (0.762)	Data 0.001 (0.001)	Loss 1.5804 (1.8568)	Prec@1 57.031 (51.526)	Prec@5 89.062 (81.174)
Epoch: [68][10460/14090]	Time 0.725 (0.762)	Data 0.001 (0.001)	Loss 1.7110 (1.8568)	Prec@1 54.688 (51.527)	Prec@5 83.594 (81.174)
Epoch: [68][10470/14090]	Time 0.757 (0.762)	Data 0.003 (0.001)	Loss 1.7917 (1.8567)	Prec@1 55.469 (51.528)	Prec@5 79.688 (81.175)
Epoch: [68][10480/14090]	Time 0.758 (0.762)	Data 0.001 (0.001)	Loss 1.7529 (1.8568)	Prec@1 52.344 (51.525)	Prec@5 82.812 (81.173)
Epoch: [68][10490/14090]	Time 0.736 (0.762)	Data 0.002 (0.001)	Loss 1.8017 (1.8568)	Prec@1 48.438 (51.525)	Prec@5 82.031 (81.172)
Epoch: [68][10500/14090]	Time 0.817 (0.762)	Data 0.001 (0.001)	Loss 1.6490 (1.8568)	Prec@1 57.812 (51.527)	Prec@5 82.812 (81.174)
Epoch: [68][10510/14090]	Time 0.740 (0.762)	Data 0.001 (0.001)	Loss 1.6308 (1.8568)	Prec@1 51.562 (51.526)	Prec@5 86.719 (81.173)
Epoch: [68][10520/14090]	Time 0.732 (0.762)	Data 0.001 (0.001)	Loss 1.3600 (1.8567)	Prec@1 60.938 (51.525)	Prec@5 91.406 (81.174)
Epoch: [68][10530/14090]	Time 0.749 (0.762)	Data 0.001 (0.001)	Loss 2.0996 (1.8568)	Prec@1 50.781 (51.523)	Prec@5 76.562 (81.173)
Epoch: [68][10540/14090]	Time 0.756 (0.762)	Data 0.001 (0.001)	Loss 2.0503 (1.8569)	Prec@1 50.781 (51.523)	Prec@5 78.125 (81.172)
Epoch: [68][10550/14090]	Time 0.752 (0.762)	Data 0.001 (0.001)	Loss 1.5029 (1.8569)	Prec@1 57.812 (51.524)	Prec@5 85.156 (81.172)
Epoch: [68][10560/14090]	Time 0.766 (0.762)	Data 0.001 (0.001)	Loss 1.6999 (1.8569)	Prec@1 55.469 (51.523)	Prec@5 86.719 (81.173)
Epoch: [68][10570/14090]	Time 0.861 (0.762)	Data 0.001 (0.001)	Loss 1.7591 (1.8569)	Prec@1 56.250 (51.523)	Prec@5 83.594 (81.172)
Epoch: [68][10580/14090]	Time 0.740 (0.762)	Data 0.001 (0.001)	Loss 2.0076 (1.8569)	Prec@1 46.875 (51.522)	Prec@5 78.125 (81.172)
Epoch: [68][10590/14090]	Time 0.753 (0.762)	Data 0.001 (0.001)	Loss 1.9217 (1.8569)	Prec@1 53.906 (51.523)	Prec@5 78.906 (81.171)
Epoch: [68][10600/14090]	Time 0.770 (0.762)	Data 0.001 (0.001)	Loss 1.9103 (1.8569)	Prec@1 56.250 (51.524)	Prec@5 82.031 (81.170)
Epoch: [68][10610/14090]	Time 0.765 (0.762)	Data 0.001 (0.001)	Loss 1.9993 (1.8569)	Prec@1 46.875 (51.524)	Prec@5 81.250 (81.171)
Epoch: [68][10620/14090]	Time 0.719 (0.762)	Data 0.001 (0.001)	Loss 1.6877 (1.8568)	Prec@1 57.031 (51.527)	Prec@5 82.812 (81.172)
Epoch: [68][10630/14090]	Time 0.758 (0.762)	Data 0.001 (0.001)	Loss 1.8962 (1.8568)	Prec@1 50.781 (51.527)	Prec@5 78.906 (81.173)
Epoch: [68][10640/14090]	Time 0.826 (0.762)	Data 0.001 (0.001)	Loss 1.8972 (1.8567)	Prec@1 55.469 (51.528)	Prec@5 80.469 (81.174)
Epoch: [68][10650/14090]	Time 0.743 (0.762)	Data 0.001 (0.001)	Loss 1.7200 (1.8567)	Prec@1 57.812 (51.528)	Prec@5 85.156 (81.174)
Epoch: [68][10660/14090]	Time 0.762 (0.762)	Data 0.001 (0.001)	Loss 1.9431 (1.8566)	Prec@1 46.094 (51.530)	Prec@5 81.250 (81.176)
Epoch: [68][10670/14090]	Time 0.728 (0.762)	Data 0.001 (0.001)	Loss 2.1925 (1.8567)	Prec@1 49.219 (51.528)	Prec@5 72.656 (81.173)
Epoch: [68][10680/14090]	Time 0.724 (0.762)	Data 0.001 (0.001)	Loss 1.9952 (1.8568)	Prec@1 48.438 (51.525)	Prec@5 80.469 (81.171)
Epoch: [68][10690/14090]	Time 0.734 (0.762)	Data 0.001 (0.001)	Loss 2.1462 (1.8569)	Prec@1 37.500 (51.523)	Prec@5 75.781 (81.169)
Epoch: [68][10700/14090]	Time 0.734 (0.762)	Data 0.001 (0.001)	Loss 1.7721 (1.8568)	Prec@1 46.875 (51.525)	Prec@5 82.812 (81.171)
Epoch: [68][10710/14090]	Time 0.864 (0.762)	Data 0.001 (0.001)	Loss 1.9273 (1.8568)	Prec@1 46.094 (51.524)	Prec@5 79.688 (81.170)
Epoch: [68][10720/14090]	Time 0.726 (0.762)	Data 0.001 (0.001)	Loss 2.1496 (1.8569)	Prec@1 42.969 (51.523)	Prec@5 73.438 (81.169)
Epoch: [68][10730/14090]	Time 0.736 (0.762)	Data 0.001 (0.001)	Loss 1.8920 (1.8569)	Prec@1 56.250 (51.522)	Prec@5 78.906 (81.169)
Epoch: [68][10740/14090]	Time 0.744 (0.762)	Data 0.001 (0.001)	Loss 1.6824 (1.8569)	Prec@1 58.594 (51.522)	Prec@5 85.938 (81.169)
Epoch: [68][10750/14090]	Time 0.735 (0.762)	Data 0.001 (0.001)	Loss 1.9212 (1.8569)	Prec@1 51.562 (51.522)	Prec@5 82.031 (81.168)
Epoch: [68][10760/14090]	Time 0.732 (0.762)	Data 0.001 (0.001)	Loss 1.6850 (1.8570)	Prec@1 50.000 (51.521)	Prec@5 82.812 (81.168)
Epoch: [68][10770/14090]	Time 0.726 (0.762)	Data 0.001 (0.001)	Loss 1.9244 (1.8570)	Prec@1 48.438 (51.521)	Prec@5 79.688 (81.168)
Epoch: [68][10780/14090]	Time 0.904 (0.762)	Data 0.001 (0.001)	Loss 1.8732 (1.8570)	Prec@1 57.031 (51.522)	Prec@5 80.469 (81.167)
Epoch: [68][10790/14090]	Time 0.724 (0.762)	Data 0.001 (0.001)	Loss 1.7917 (1.8570)	Prec@1 53.906 (51.521)	Prec@5 80.469 (81.167)
Epoch: [68][10800/14090]	Time 0.751 (0.762)	Data 0.001 (0.001)	Loss 1.6227 (1.8570)	Prec@1 57.812 (51.523)	Prec@5 89.062 (81.169)
Epoch: [68][10810/14090]	Time 0.775 (0.762)	Data 0.001 (0.001)	Loss 2.0090 (1.8570)	Prec@1 48.438 (51.524)	Prec@5 82.031 (81.168)
Epoch: [68][10820/14090]	Time 0.754 (0.762)	Data 0.001 (0.001)	Loss 2.0162 (1.8570)	Prec@1 49.219 (51.524)	Prec@5 76.562 (81.167)
Epoch: [68][10830/14090]	Time 0.736 (0.762)	Data 0.001 (0.001)	Loss 1.9024 (1.8570)	Prec@1 53.906 (51.524)	Prec@5 83.594 (81.167)
Epoch: [68][10840/14090]	Time 0.743 (0.762)	Data 0.001 (0.001)	Loss 1.5353 (1.8569)	Prec@1 56.250 (51.524)	Prec@5 84.375 (81.168)
Epoch: [68][10850/14090]	Time 0.801 (0.762)	Data 0.001 (0.001)	Loss 1.9852 (1.8570)	Prec@1 39.844 (51.522)	Prec@5 81.250 (81.169)
Epoch: [68][10860/14090]	Time 0.723 (0.762)	Data 0.001 (0.001)	Loss 2.0792 (1.8570)	Prec@1 51.562 (51.520)	Prec@5 74.219 (81.168)
Epoch: [68][10870/14090]	Time 0.782 (0.762)	Data 0.001 (0.001)	Loss 1.7008 (1.8570)	Prec@1 54.688 (51.521)	Prec@5 87.500 (81.169)
Epoch: [68][10880/14090]	Time 0.748 (0.762)	Data 0.001 (0.001)	Loss 1.6370 (1.8571)	Prec@1 59.375 (51.520)	Prec@5 82.031 (81.168)
Epoch: [68][10890/14090]	Time 0.731 (0.762)	Data 0.001 (0.001)	Loss 1.9070 (1.8571)	Prec@1 53.125 (51.518)	Prec@5 78.906 (81.168)
Epoch: [68][10900/14090]	Time 0.756 (0.762)	Data 0.001 (0.001)	Loss 1.7577 (1.8571)	Prec@1 54.688 (51.517)	Prec@5 82.031 (81.167)
Epoch: [68][10910/14090]	Time 0.777 (0.762)	Data 0.001 (0.001)	Loss 2.0131 (1.8571)	Prec@1 48.438 (51.518)	Prec@5 78.125 (81.167)
Epoch: [68][10920/14090]	Time 0.874 (0.762)	Data 0.001 (0.001)	Loss 1.8790 (1.8571)	Prec@1 46.875 (51.517)	Prec@5 85.156 (81.166)
Epoch: [68][10930/14090]	Time 0.762 (0.762)	Data 0.001 (0.001)	Loss 1.7590 (1.8572)	Prec@1 59.375 (51.517)	Prec@5 85.156 (81.166)
Epoch: [68][10940/14090]	Time 0.737 (0.762)	Data 0.001 (0.001)	Loss 1.7806 (1.8572)	Prec@1 57.031 (51.518)	Prec@5 80.469 (81.166)
Epoch: [68][10950/14090]	Time 0.774 (0.762)	Data 0.001 (0.001)	Loss 1.5657 (1.8571)	Prec@1 58.594 (51.519)	Prec@5 82.031 (81.167)
Epoch: [68][10960/14090]	Time 0.752 (0.762)	Data 0.001 (0.001)	Loss 1.6841 (1.8570)	Prec@1 61.719 (51.523)	Prec@5 82.812 (81.167)
Epoch: [68][10970/14090]	Time 0.752 (0.762)	Data 0.001 (0.001)	Loss 1.5962 (1.8570)	Prec@1 57.031 (51.523)	Prec@5 85.938 (81.166)
Epoch: [68][10980/14090]	Time 0.754 (0.762)	Data 0.001 (0.001)	Loss 1.7982 (1.8570)	Prec@1 49.219 (51.523)	Prec@5 81.250 (81.167)
Epoch: [68][10990/14090]	Time 0.828 (0.762)	Data 0.001 (0.001)	Loss 1.8315 (1.8570)	Prec@1 52.344 (51.524)	Prec@5 82.031 (81.167)
Epoch: [68][11000/14090]	Time 0.731 (0.762)	Data 0.001 (0.001)	Loss 1.9438 (1.8570)	Prec@1 46.875 (51.521)	Prec@5 78.125 (81.168)
Epoch: [68][11010/14090]	Time 0.747 (0.762)	Data 0.001 (0.001)	Loss 1.8948 (1.8571)	Prec@1 49.219 (51.520)	Prec@5 81.250 (81.167)
Epoch: [68][11020/14090]	Time 0.753 (0.762)	Data 0.001 (0.001)	Loss 1.7801 (1.8570)	Prec@1 53.125 (51.521)	Prec@5 83.594 (81.169)
Epoch: [68][11030/14090]	Time 0.779 (0.762)	Data 0.001 (0.001)	Loss 1.7111 (1.8570)	Prec@1 52.344 (51.523)	Prec@5 82.812 (81.169)
Epoch: [68][11040/14090]	Time 0.760 (0.762)	Data 0.001 (0.001)	Loss 1.8128 (1.8570)	Prec@1 51.562 (51.523)	Prec@5 82.812 (81.168)
Epoch: [68][11050/14090]	Time 0.724 (0.762)	Data 0.001 (0.001)	Loss 1.9762 (1.8570)	Prec@1 50.000 (51.522)	Prec@5 78.906 (81.167)
Epoch: [68][11060/14090]	Time 0.829 (0.762)	Data 0.001 (0.001)	Loss 1.9270 (1.8570)	Prec@1 48.438 (51.524)	Prec@5 80.469 (81.168)
Epoch: [68][11070/14090]	Time 0.737 (0.762)	Data 0.001 (0.001)	Loss 1.5381 (1.8570)	Prec@1 57.812 (51.523)	Prec@5 86.719 (81.168)
Epoch: [68][11080/14090]	Time 0.738 (0.762)	Data 0.001 (0.001)	Loss 1.7570 (1.8569)	Prec@1 51.562 (51.527)	Prec@5 83.594 (81.170)
Epoch: [68][11090/14090]	Time 0.728 (0.762)	Data 0.001 (0.001)	Loss 1.6392 (1.8568)	Prec@1 55.469 (51.528)	Prec@5 85.938 (81.170)
Epoch: [68][11100/14090]	Time 0.754 (0.762)	Data 0.001 (0.001)	Loss 1.6817 (1.8568)	Prec@1 52.344 (51.527)	Prec@5 89.844 (81.170)
Epoch: [68][11110/14090]	Time 0.753 (0.762)	Data 0.001 (0.001)	Loss 2.0350 (1.8568)	Prec@1 45.312 (51.526)	Prec@5 75.000 (81.170)
Epoch: [68][11120/14090]	Time 0.747 (0.762)	Data 0.001 (0.001)	Loss 1.7500 (1.8568)	Prec@1 55.469 (51.525)	Prec@5 78.906 (81.170)
Epoch: [68][11130/14090]	Time 0.848 (0.762)	Data 0.001 (0.001)	Loss 1.6924 (1.8568)	Prec@1 51.562 (51.525)	Prec@5 81.250 (81.170)
Epoch: [68][11140/14090]	Time 0.749 (0.762)	Data 0.001 (0.001)	Loss 1.9086 (1.8567)	Prec@1 53.125 (51.527)	Prec@5 81.250 (81.171)
Epoch: [68][11150/14090]	Time 0.740 (0.762)	Data 0.001 (0.001)	Loss 1.9062 (1.8567)	Prec@1 52.344 (51.527)	Prec@5 80.469 (81.170)
Epoch: [68][11160/14090]	Time 0.729 (0.762)	Data 0.001 (0.001)	Loss 2.0040 (1.8566)	Prec@1 50.781 (51.528)	Prec@5 77.344 (81.171)
Epoch: [68][11170/14090]	Time 0.754 (0.762)	Data 0.001 (0.001)	Loss 1.9087 (1.8567)	Prec@1 49.219 (51.527)	Prec@5 79.688 (81.170)
Epoch: [68][11180/14090]	Time 0.755 (0.762)	Data 0.001 (0.001)	Loss 1.6166 (1.8566)	Prec@1 58.594 (51.528)	Prec@5 82.812 (81.171)
Epoch: [68][11190/14090]	Time 0.771 (0.762)	Data 0.001 (0.001)	Loss 1.8168 (1.8566)	Prec@1 53.906 (51.529)	Prec@5 84.375 (81.170)
Epoch: [68][11200/14090]	Time 0.868 (0.762)	Data 0.001 (0.001)	Loss 1.4431 (1.8565)	Prec@1 54.688 (51.533)	Prec@5 92.188 (81.171)
Epoch: [68][11210/14090]	Time 0.737 (0.762)	Data 0.001 (0.001)	Loss 1.8618 (1.8565)	Prec@1 49.219 (51.531)	Prec@5 83.594 (81.170)
Epoch: [68][11220/14090]	Time 0.728 (0.762)	Data 0.001 (0.001)	Loss 2.0214 (1.8566)	Prec@1 53.125 (51.530)	Prec@5 72.656 (81.170)
Epoch: [68][11230/14090]	Time 0.741 (0.762)	Data 0.001 (0.001)	Loss 1.7136 (1.8566)	Prec@1 58.594 (51.532)	Prec@5 81.250 (81.169)
Epoch: [68][11240/14090]	Time 0.731 (0.762)	Data 0.001 (0.001)	Loss 1.5532 (1.8566)	Prec@1 60.938 (51.531)	Prec@5 88.281 (81.168)
Epoch: [68][11250/14090]	Time 0.756 (0.762)	Data 0.001 (0.001)	Loss 1.5436 (1.8566)	Prec@1 60.156 (51.531)	Prec@5 87.500 (81.168)
Epoch: [68][11260/14090]	Time 0.724 (0.762)	Data 0.001 (0.001)	Loss 1.9320 (1.8566)	Prec@1 48.438 (51.529)	Prec@5 82.031 (81.169)
Epoch: [68][11270/14090]	Time 0.911 (0.762)	Data 0.001 (0.001)	Loss 1.7209 (1.8566)	Prec@1 53.125 (51.530)	Prec@5 85.938 (81.170)
Epoch: [68][11280/14090]	Time 0.734 (0.762)	Data 0.001 (0.001)	Loss 1.8683 (1.8566)	Prec@1 56.250 (51.529)	Prec@5 81.250 (81.169)
Epoch: [68][11290/14090]	Time 0.745 (0.762)	Data 0.001 (0.001)	Loss 1.7187 (1.8566)	Prec@1 53.125 (51.529)	Prec@5 85.156 (81.169)
Epoch: [68][11300/14090]	Time 0.734 (0.762)	Data 0.001 (0.001)	Loss 1.8546 (1.8566)	Prec@1 47.656 (51.529)	Prec@5 78.906 (81.169)
Epoch: [68][11310/14090]	Time 0.760 (0.762)	Data 0.001 (0.001)	Loss 1.4205 (1.8565)	Prec@1 64.062 (51.533)	Prec@5 87.500 (81.171)
Epoch: [68][11320/14090]	Time 0.730 (0.762)	Data 0.001 (0.001)	Loss 1.6221 (1.8565)	Prec@1 50.000 (51.532)	Prec@5 87.500 (81.171)
Epoch: [68][11330/14090]	Time 0.751 (0.762)	Data 0.001 (0.001)	Loss 1.7430 (1.8565)	Prec@1 53.125 (51.533)	Prec@5 82.812 (81.170)
Epoch: [68][11340/14090]	Time 0.876 (0.762)	Data 0.001 (0.001)	Loss 1.7394 (1.8564)	Prec@1 55.469 (51.534)	Prec@5 84.375 (81.171)
Epoch: [68][11350/14090]	Time 0.748 (0.762)	Data 0.001 (0.001)	Loss 1.5010 (1.8563)	Prec@1 56.250 (51.535)	Prec@5 83.594 (81.173)
Epoch: [68][11360/14090]	Time 0.750 (0.762)	Data 0.001 (0.001)	Loss 2.0432 (1.8563)	Prec@1 42.969 (51.535)	Prec@5 80.469 (81.174)
Epoch: [68][11370/14090]	Time 0.752 (0.762)	Data 0.001 (0.001)	Loss 1.7297 (1.8563)	Prec@1 57.031 (51.535)	Prec@5 82.031 (81.174)
Epoch: [68][11380/14090]	Time 0.727 (0.762)	Data 0.001 (0.001)	Loss 1.7555 (1.8564)	Prec@1 53.125 (51.534)	Prec@5 84.375 (81.175)
Epoch: [68][11390/14090]	Time 0.739 (0.762)	Data 0.001 (0.001)	Loss 2.1580 (1.8564)	Prec@1 46.875 (51.533)	Prec@5 75.781 (81.174)
Epoch: [68][11400/14090]	Time 0.751 (0.762)	Data 0.001 (0.001)	Loss 1.7521 (1.8564)	Prec@1 55.469 (51.531)	Prec@5 82.031 (81.173)
Epoch: [68][11410/14090]	Time 0.878 (0.762)	Data 0.001 (0.001)	Loss 1.9961 (1.8565)	Prec@1 46.875 (51.530)	Prec@5 78.125 (81.172)
Epoch: [68][11420/14090]	Time 0.728 (0.762)	Data 0.001 (0.001)	Loss 2.0747 (1.8566)	Prec@1 48.438 (51.530)	Prec@5 71.875 (81.171)
Epoch: [68][11430/14090]	Time 0.784 (0.762)	Data 0.001 (0.001)	Loss 2.0666 (1.8565)	Prec@1 49.219 (51.531)	Prec@5 78.125 (81.172)
Epoch: [68][11440/14090]	Time 0.746 (0.762)	Data 0.001 (0.001)	Loss 1.9160 (1.8565)	Prec@1 44.531 (51.529)	Prec@5 78.906 (81.171)
Epoch: [68][11450/14090]	Time 0.724 (0.762)	Data 0.001 (0.001)	Loss 2.0228 (1.8566)	Prec@1 50.781 (51.528)	Prec@5 81.250 (81.172)
Epoch: [68][11460/14090]	Time 0.731 (0.762)	Data 0.001 (0.001)	Loss 1.8310 (1.8566)	Prec@1 50.781 (51.527)	Prec@5 82.812 (81.171)
Epoch: [68][11470/14090]	Time 0.780 (0.762)	Data 0.001 (0.001)	Loss 2.0213 (1.8567)	Prec@1 50.000 (51.525)	Prec@5 78.125 (81.171)
Epoch: [68][11480/14090]	Time 0.867 (0.762)	Data 0.001 (0.001)	Loss 1.8250 (1.8567)	Prec@1 53.906 (51.524)	Prec@5 80.469 (81.170)
Epoch: [68][11490/14090]	Time 0.735 (0.762)	Data 0.001 (0.001)	Loss 2.0399 (1.8568)	Prec@1 52.344 (51.522)	Prec@5 79.688 (81.168)
Epoch: [68][11500/14090]	Time 0.734 (0.762)	Data 0.001 (0.001)	Loss 1.9898 (1.8569)	Prec@1 52.344 (51.521)	Prec@5 75.000 (81.167)
Epoch: [68][11510/14090]	Time 0.750 (0.762)	Data 0.001 (0.001)	Loss 1.5920 (1.8569)	Prec@1 51.562 (51.519)	Prec@5 85.938 (81.167)
Epoch: [68][11520/14090]	Time 0.748 (0.762)	Data 0.001 (0.001)	Loss 1.9085 (1.8570)	Prec@1 52.344 (51.518)	Prec@5 80.469 (81.166)
Epoch: [68][11530/14090]	Time 0.752 (0.762)	Data 0.001 (0.001)	Loss 1.9389 (1.8569)	Prec@1 49.219 (51.521)	Prec@5 79.688 (81.168)
Epoch: [68][11540/14090]	Time 0.725 (0.762)	Data 0.001 (0.001)	Loss 1.6228 (1.8568)	Prec@1 57.031 (51.523)	Prec@5 85.938 (81.169)
Epoch: [68][11550/14090]	Time 0.883 (0.762)	Data 0.001 (0.001)	Loss 1.8009 (1.8568)	Prec@1 57.031 (51.523)	Prec@5 80.469 (81.171)
Epoch: [68][11560/14090]	Time 0.747 (0.762)	Data 0.001 (0.001)	Loss 1.9498 (1.8568)	Prec@1 47.656 (51.524)	Prec@5 82.031 (81.172)
Epoch: [68][11570/14090]	Time 0.743 (0.762)	Data 0.001 (0.001)	Loss 1.8621 (1.8569)	Prec@1 54.688 (51.522)	Prec@5 80.469 (81.169)
Epoch: [68][11580/14090]	Time 0.737 (0.762)	Data 0.001 (0.001)	Loss 1.9108 (1.8569)	Prec@1 50.000 (51.521)	Prec@5 82.031 (81.170)
Epoch: [68][11590/14090]	Time 0.738 (0.762)	Data 0.001 (0.001)	Loss 1.7770 (1.8569)	Prec@1 48.438 (51.520)	Prec@5 87.500 (81.170)
Epoch: [68][11600/14090]	Time 0.746 (0.762)	Data 0.001 (0.001)	Loss 2.0131 (1.8569)	Prec@1 46.094 (51.520)	Prec@5 78.125 (81.171)
Epoch: [68][11610/14090]	Time 0.764 (0.762)	Data 0.001 (0.001)	Loss 2.2032 (1.8569)	Prec@1 46.094 (51.519)	Prec@5 79.688 (81.170)
Epoch: [68][11620/14090]	Time 0.859 (0.762)	Data 0.001 (0.001)	Loss 1.6704 (1.8568)	Prec@1 53.125 (51.520)	Prec@5 85.938 (81.172)
Epoch: [68][11630/14090]	Time 0.719 (0.762)	Data 0.001 (0.001)	Loss 1.9663 (1.8568)	Prec@1 47.656 (51.521)	Prec@5 81.250 (81.173)
Epoch: [68][11640/14090]	Time 0.731 (0.762)	Data 0.001 (0.001)	Loss 2.1317 (1.8568)	Prec@1 48.438 (51.520)	Prec@5 75.781 (81.172)
Epoch: [68][11650/14090]	Time 0.767 (0.762)	Data 0.001 (0.001)	Loss 2.0354 (1.8568)	Prec@1 50.000 (51.521)	Prec@5 75.781 (81.173)
Epoch: [68][11660/14090]	Time 0.751 (0.762)	Data 0.001 (0.001)	Loss 1.8157 (1.8569)	Prec@1 50.781 (51.519)	Prec@5 81.250 (81.172)
Epoch: [68][11670/14090]	Time 0.730 (0.762)	Data 0.001 (0.001)	Loss 1.9284 (1.8568)	Prec@1 45.312 (51.519)	Prec@5 82.812 (81.173)
Epoch: [68][11680/14090]	Time 0.740 (0.762)	Data 0.001 (0.001)	Loss 1.8748 (1.8569)	Prec@1 54.688 (51.520)	Prec@5 80.469 (81.172)
Epoch: [68][11690/14090]	Time 0.835 (0.762)	Data 0.001 (0.001)	Loss 1.8042 (1.8568)	Prec@1 53.125 (51.521)	Prec@5 84.375 (81.174)
Epoch: [68][11700/14090]	Time 0.744 (0.762)	Data 0.001 (0.001)	Loss 1.7364 (1.8568)	Prec@1 59.375 (51.520)	Prec@5 82.812 (81.173)
Epoch: [68][11710/14090]	Time 0.733 (0.762)	Data 0.001 (0.001)	Loss 1.9153 (1.8569)	Prec@1 50.781 (51.521)	Prec@5 78.125 (81.171)
Epoch: [68][11720/14090]	Time 0.739 (0.762)	Data 0.001 (0.001)	Loss 1.6956 (1.8569)	Prec@1 56.250 (51.522)	Prec@5 86.719 (81.172)
Epoch: [68][11730/14090]	Time 0.739 (0.762)	Data 0.001 (0.001)	Loss 1.7587 (1.8569)	Prec@1 52.344 (51.521)	Prec@5 84.375 (81.171)
Epoch: [68][11740/14090]	Time 0.752 (0.762)	Data 0.001 (0.001)	Loss 1.7438 (1.8569)	Prec@1 55.469 (51.523)	Prec@5 84.375 (81.171)
Epoch: [68][11750/14090]	Time 0.733 (0.762)	Data 0.001 (0.001)	Loss 1.7654 (1.8569)	Prec@1 56.250 (51.523)	Prec@5 83.594 (81.171)
Epoch: [68][11760/14090]	Time 0.848 (0.762)	Data 0.001 (0.001)	Loss 1.9320 (1.8569)	Prec@1 47.656 (51.523)	Prec@5 80.469 (81.171)
Epoch: [68][11770/14090]	Time 0.721 (0.762)	Data 0.001 (0.001)	Loss 1.7887 (1.8570)	Prec@1 53.906 (51.521)	Prec@5 83.594 (81.169)
Epoch: [68][11780/14090]	Time 0.735 (0.762)	Data 0.001 (0.001)	Loss 1.9347 (1.8569)	Prec@1 50.000 (51.523)	Prec@5 79.688 (81.170)
Epoch: [68][11790/14090]	Time 0.766 (0.762)	Data 0.001 (0.001)	Loss 1.6474 (1.8569)	Prec@1 60.938 (51.523)	Prec@5 86.719 (81.170)
Epoch: [68][11800/14090]	Time 0.753 (0.762)	Data 0.001 (0.001)	Loss 1.9419 (1.8570)	Prec@1 51.562 (51.523)	Prec@5 76.562 (81.170)
Epoch: [68][11810/14090]	Time 0.741 (0.762)	Data 0.001 (0.001)	Loss 1.9447 (1.8569)	Prec@1 50.781 (51.523)	Prec@5 79.688 (81.170)
Epoch: [68][11820/14090]	Time 0.724 (0.762)	Data 0.001 (0.001)	Loss 1.5964 (1.8570)	Prec@1 57.031 (51.522)	Prec@5 84.375 (81.169)
Epoch: [68][11830/14090]	Time 0.859 (0.762)	Data 0.001 (0.001)	Loss 1.6602 (1.8570)	Prec@1 52.344 (51.522)	Prec@5 83.594 (81.169)
Epoch: [68][11840/14090]	Time 0.740 (0.762)	Data 0.001 (0.001)	Loss 1.8846 (1.8570)	Prec@1 53.125 (51.520)	Prec@5 79.688 (81.169)
Epoch: [68][11850/14090]	Time 0.724 (0.762)	Data 0.001 (0.001)	Loss 1.7172 (1.8569)	Prec@1 53.906 (51.521)	Prec@5 82.812 (81.170)
Epoch: [68][11860/14090]	Time 0.739 (0.762)	Data 0.001 (0.001)	Loss 1.8326 (1.8569)	Prec@1 52.344 (51.521)	Prec@5 78.906 (81.170)
Epoch: [68][11870/14090]	Time 0.732 (0.762)	Data 0.001 (0.001)	Loss 1.8471 (1.8569)	Prec@1 53.906 (51.521)	Prec@5 82.031 (81.170)
Epoch: [68][11880/14090]	Time 0.730 (0.762)	Data 0.001 (0.001)	Loss 1.9725 (1.8569)	Prec@1 46.875 (51.521)	Prec@5 83.594 (81.172)
Epoch: [68][11890/14090]	Time 0.749 (0.762)	Data 0.001 (0.001)	Loss 1.5660 (1.8568)	Prec@1 55.469 (51.523)	Prec@5 89.062 (81.174)
Epoch: [68][11900/14090]	Time 0.833 (0.762)	Data 0.001 (0.001)	Loss 2.0129 (1.8568)	Prec@1 44.531 (51.523)	Prec@5 79.688 (81.174)
Epoch: [68][11910/14090]	Time 0.788 (0.762)	Data 0.001 (0.001)	Loss 1.8824 (1.8568)	Prec@1 56.250 (51.524)	Prec@5 78.906 (81.174)
Epoch: [68][11920/14090]	Time 0.772 (0.762)	Data 0.001 (0.001)	Loss 1.6168 (1.8568)	Prec@1 56.250 (51.522)	Prec@5 86.719 (81.174)
Epoch: [68][11930/14090]	Time 0.741 (0.762)	Data 0.001 (0.001)	Loss 1.8210 (1.8568)	Prec@1 52.344 (51.523)	Prec@5 78.906 (81.173)
Epoch: [68][11940/14090]	Time 0.746 (0.762)	Data 0.001 (0.001)	Loss 1.9086 (1.8568)	Prec@1 45.312 (51.523)	Prec@5 84.375 (81.174)
Epoch: [68][11950/14090]	Time 0.746 (0.762)	Data 0.001 (0.001)	Loss 1.7941 (1.8568)	Prec@1 52.344 (51.523)	Prec@5 82.812 (81.174)
Epoch: [68][11960/14090]	Time 0.730 (0.762)	Data 0.001 (0.001)	Loss 1.4795 (1.8568)	Prec@1 60.156 (51.524)	Prec@5 85.938 (81.173)
Epoch: [68][11970/14090]	Time 0.874 (0.762)	Data 0.001 (0.001)	Loss 1.7939 (1.8568)	Prec@1 55.469 (51.524)	Prec@5 82.031 (81.173)
Epoch: [68][11980/14090]	Time 0.757 (0.762)	Data 0.001 (0.001)	Loss 1.9649 (1.8567)	Prec@1 51.562 (51.524)	Prec@5 81.250 (81.174)
Epoch: [68][11990/14090]	Time 0.762 (0.762)	Data 0.001 (0.001)	Loss 1.9926 (1.8568)	Prec@1 50.000 (51.524)	Prec@5 76.562 (81.173)
Epoch: [68][12000/14090]	Time 0.746 (0.762)	Data 0.001 (0.001)	Loss 1.6891 (1.8568)	Prec@1 51.562 (51.524)	Prec@5 80.469 (81.173)
Epoch: [68][12010/14090]	Time 0.729 (0.762)	Data 0.001 (0.001)	Loss 1.5335 (1.8567)	Prec@1 60.156 (51.526)	Prec@5 88.281 (81.175)
Epoch: [68][12020/14090]	Time 0.756 (0.762)	Data 0.001 (0.001)	Loss 2.1201 (1.8567)	Prec@1 46.875 (51.525)	Prec@5 78.125 (81.176)
Epoch: [68][12030/14090]	Time 0.753 (0.762)	Data 0.001 (0.001)	Loss 1.8363 (1.8567)	Prec@1 53.906 (51.525)	Prec@5 80.469 (81.176)
Epoch: [68][12040/14090]	Time 0.866 (0.762)	Data 0.001 (0.001)	Loss 1.6711 (1.8566)	Prec@1 53.125 (51.526)	Prec@5 88.281 (81.176)
Epoch: [68][12050/14090]	Time 0.728 (0.762)	Data 0.001 (0.001)	Loss 1.8117 (1.8566)	Prec@1 53.906 (51.527)	Prec@5 78.125 (81.176)
Epoch: [68][12060/14090]	Time 0.748 (0.762)	Data 0.001 (0.001)	Loss 2.0382 (1.8566)	Prec@1 44.531 (51.527)	Prec@5 81.250 (81.176)
Epoch: [68][12070/14090]	Time 0.739 (0.762)	Data 0.001 (0.001)	Loss 1.8202 (1.8566)	Prec@1 54.688 (51.526)	Prec@5 84.375 (81.176)
Epoch: [68][12080/14090]	Time 0.778 (0.762)	Data 0.001 (0.001)	Loss 1.6273 (1.8567)	Prec@1 57.031 (51.525)	Prec@5 85.156 (81.175)
Epoch: [68][12090/14090]	Time 0.732 (0.762)	Data 0.001 (0.001)	Loss 1.7816 (1.8567)	Prec@1 53.125 (51.524)	Prec@5 78.906 (81.175)
Epoch: [68][12100/14090]	Time 0.739 (0.762)	Data 0.001 (0.001)	Loss 1.8943 (1.8567)	Prec@1 46.875 (51.523)	Prec@5 85.156 (81.175)
Epoch: [68][12110/14090]	Time 0.887 (0.762)	Data 0.001 (0.001)	Loss 1.6811 (1.8568)	Prec@1 57.031 (51.523)	Prec@5 82.031 (81.174)
Epoch: [68][12120/14090]	Time 0.728 (0.762)	Data 0.001 (0.001)	Loss 1.7828 (1.8568)	Prec@1 50.781 (51.523)	Prec@5 82.031 (81.174)
Epoch: [68][12130/14090]	Time 0.739 (0.762)	Data 0.001 (0.001)	Loss 1.7952 (1.8568)	Prec@1 55.469 (51.524)	Prec@5 79.688 (81.174)
Epoch: [68][12140/14090]	Time 0.742 (0.762)	Data 0.001 (0.001)	Loss 2.3075 (1.8569)	Prec@1 42.969 (51.522)	Prec@5 75.000 (81.171)
Epoch: [68][12150/14090]	Time 0.738 (0.762)	Data 0.001 (0.001)	Loss 2.0206 (1.8569)	Prec@1 50.000 (51.524)	Prec@5 77.344 (81.171)
Epoch: [68][12160/14090]	Time 0.749 (0.762)	Data 0.001 (0.001)	Loss 1.7332 (1.8569)	Prec@1 53.125 (51.524)	Prec@5 85.156 (81.172)
Epoch: [68][12170/14090]	Time 0.750 (0.762)	Data 0.001 (0.001)	Loss 2.0223 (1.8568)	Prec@1 46.875 (51.526)	Prec@5 81.250 (81.173)
Epoch: [68][12180/14090]	Time 0.833 (0.762)	Data 0.001 (0.001)	Loss 1.9803 (1.8568)	Prec@1 48.438 (51.527)	Prec@5 78.125 (81.174)
Epoch: [68][12190/14090]	Time 0.725 (0.762)	Data 0.001 (0.001)	Loss 1.5553 (1.8567)	Prec@1 57.031 (51.528)	Prec@5 84.375 (81.173)
Epoch: [68][12200/14090]	Time 0.732 (0.762)	Data 0.001 (0.001)	Loss 1.7588 (1.8567)	Prec@1 53.906 (51.527)	Prec@5 82.812 (81.173)
Epoch: [68][12210/14090]	Time 0.752 (0.762)	Data 0.001 (0.001)	Loss 1.8778 (1.8567)	Prec@1 51.562 (51.528)	Prec@5 82.031 (81.173)
Epoch: [68][12220/14090]	Time 0.755 (0.762)	Data 0.001 (0.001)	Loss 1.6358 (1.8567)	Prec@1 56.250 (51.528)	Prec@5 87.500 (81.173)
Epoch: [68][12230/14090]	Time 0.735 (0.762)	Data 0.001 (0.001)	Loss 1.5864 (1.8567)	Prec@1 59.375 (51.530)	Prec@5 86.719 (81.174)
Epoch: [68][12240/14090]	Time 0.751 (0.762)	Data 0.001 (0.001)	Loss 2.0851 (1.8567)	Prec@1 51.562 (51.529)	Prec@5 80.469 (81.173)
Epoch: [68][12250/14090]	Time 0.859 (0.762)	Data 0.001 (0.001)	Loss 1.6458 (1.8566)	Prec@1 55.469 (51.533)	Prec@5 85.938 (81.174)
Epoch: [68][12260/14090]	Time 0.749 (0.762)	Data 0.001 (0.001)	Loss 1.7712 (1.8565)	Prec@1 53.125 (51.535)	Prec@5 82.812 (81.176)
Epoch: [68][12270/14090]	Time 0.737 (0.762)	Data 0.001 (0.001)	Loss 1.7692 (1.8565)	Prec@1 51.562 (51.534)	Prec@5 85.156 (81.176)
Epoch: [68][12280/14090]	Time 0.748 (0.762)	Data 0.001 (0.001)	Loss 1.9200 (1.8565)	Prec@1 46.875 (51.534)	Prec@5 82.812 (81.177)
Epoch: [68][12290/14090]	Time 0.781 (0.762)	Data 0.001 (0.001)	Loss 1.8005 (1.8565)	Prec@1 50.781 (51.534)	Prec@5 81.250 (81.176)
Epoch: [68][12300/14090]	Time 0.741 (0.762)	Data 0.001 (0.001)	Loss 1.9271 (1.8564)	Prec@1 53.125 (51.535)	Prec@5 78.125 (81.178)
Epoch: [68][12310/14090]	Time 0.750 (0.762)	Data 0.001 (0.001)	Loss 2.0442 (1.8565)	Prec@1 48.438 (51.533)	Prec@5 76.562 (81.177)
Epoch: [68][12320/14090]	Time 0.872 (0.762)	Data 0.001 (0.001)	Loss 1.9949 (1.8565)	Prec@1 49.219 (51.533)	Prec@5 78.906 (81.177)
Epoch: [68][12330/14090]	Time 0.738 (0.762)	Data 0.001 (0.001)	Loss 1.9435 (1.8566)	Prec@1 44.531 (51.532)	Prec@5 78.125 (81.177)
Epoch: [68][12340/14090]	Time 0.730 (0.762)	Data 0.002 (0.001)	Loss 2.0406 (1.8565)	Prec@1 44.531 (51.533)	Prec@5 77.344 (81.177)
Epoch: [68][12350/14090]	Time 0.777 (0.762)	Data 0.001 (0.001)	Loss 1.7349 (1.8565)	Prec@1 51.562 (51.533)	Prec@5 82.812 (81.178)
Epoch: [68][12360/14090]	Time 0.751 (0.762)	Data 0.001 (0.001)	Loss 1.4417 (1.8564)	Prec@1 62.500 (51.535)	Prec@5 86.719 (81.178)
Epoch: [68][12370/14090]	Time 0.759 (0.762)	Data 0.001 (0.001)	Loss 1.8084 (1.8564)	Prec@1 49.219 (51.535)	Prec@5 81.250 (81.179)
Epoch: [68][12380/14090]	Time 0.753 (0.762)	Data 0.001 (0.001)	Loss 1.4882 (1.8564)	Prec@1 57.812 (51.535)	Prec@5 87.500 (81.179)
Epoch: [68][12390/14090]	Time 0.838 (0.762)	Data 0.001 (0.001)	Loss 1.6480 (1.8564)	Prec@1 54.688 (51.537)	Prec@5 86.719 (81.180)
Epoch: [68][12400/14090]	Time 0.732 (0.762)	Data 0.001 (0.001)	Loss 1.7777 (1.8563)	Prec@1 49.219 (51.537)	Prec@5 83.594 (81.181)
Epoch: [68][12410/14090]	Time 0.730 (0.762)	Data 0.001 (0.001)	Loss 1.6381 (1.8564)	Prec@1 57.031 (51.537)	Prec@5 85.938 (81.179)
Epoch: [68][12420/14090]	Time 0.744 (0.762)	Data 0.001 (0.001)	Loss 1.8827 (1.8564)	Prec@1 53.906 (51.535)	Prec@5 79.688 (81.179)
Epoch: [68][12430/14090]	Time 0.739 (0.762)	Data 0.001 (0.001)	Loss 1.9164 (1.8565)	Prec@1 49.219 (51.535)	Prec@5 79.688 (81.178)
Epoch: [68][12440/14090]	Time 0.733 (0.762)	Data 0.001 (0.001)	Loss 1.9188 (1.8564)	Prec@1 50.781 (51.535)	Prec@5 80.469 (81.178)
Epoch: [68][12450/14090]	Time 0.749 (0.762)	Data 0.001 (0.001)	Loss 1.7958 (1.8564)	Prec@1 50.000 (51.536)	Prec@5 82.031 (81.178)
Epoch: [68][12460/14090]	Time 0.855 (0.762)	Data 0.001 (0.001)	Loss 1.7387 (1.8564)	Prec@1 57.031 (51.536)	Prec@5 82.031 (81.178)
Epoch: [68][12470/14090]	Time 0.768 (0.762)	Data 0.001 (0.001)	Loss 1.9118 (1.8564)	Prec@1 53.125 (51.535)	Prec@5 82.031 (81.177)
Epoch: [68][12480/14090]	Time 0.753 (0.762)	Data 0.001 (0.001)	Loss 1.7729 (1.8564)	Prec@1 53.125 (51.534)	Prec@5 81.250 (81.177)
Epoch: [68][12490/14090]	Time 0.733 (0.762)	Data 0.001 (0.001)	Loss 1.9486 (1.8565)	Prec@1 47.656 (51.533)	Prec@5 82.812 (81.177)
Epoch: [68][12500/14090]	Time 0.732 (0.762)	Data 0.001 (0.001)	Loss 1.8564 (1.8564)	Prec@1 55.469 (51.534)	Prec@5 81.250 (81.179)
Epoch: [68][12510/14090]	Time 0.757 (0.762)	Data 0.001 (0.001)	Loss 1.9376 (1.8565)	Prec@1 51.562 (51.535)	Prec@5 78.125 (81.178)
Epoch: [68][12520/14090]	Time 0.767 (0.762)	Data 0.001 (0.001)	Loss 2.0862 (1.8565)	Prec@1 47.656 (51.534)	Prec@5 79.688 (81.179)
Epoch: [68][12530/14090]	Time 0.877 (0.762)	Data 0.001 (0.001)	Loss 2.0328 (1.8565)	Prec@1 44.531 (51.532)	Prec@5 78.125 (81.177)
Epoch: [68][12540/14090]	Time 0.730 (0.762)	Data 0.001 (0.001)	Loss 1.8934 (1.8566)	Prec@1 53.125 (51.532)	Prec@5 80.469 (81.177)
Epoch: [68][12550/14090]	Time 0.730 (0.762)	Data 0.001 (0.001)	Loss 1.8484 (1.8565)	Prec@1 50.000 (51.532)	Prec@5 79.688 (81.178)
Epoch: [68][12560/14090]	Time 0.736 (0.762)	Data 0.001 (0.001)	Loss 2.0462 (1.8564)	Prec@1 50.000 (51.534)	Prec@5 74.219 (81.177)
Epoch: [68][12570/14090]	Time 0.738 (0.762)	Data 0.001 (0.001)	Loss 1.8747 (1.8564)	Prec@1 48.438 (51.533)	Prec@5 82.812 (81.178)
Epoch: [68][12580/14090]	Time 0.754 (0.762)	Data 0.001 (0.001)	Loss 1.8258 (1.8565)	Prec@1 47.656 (51.532)	Prec@5 84.375 (81.178)
Epoch: [68][12590/14090]	Time 0.773 (0.762)	Data 0.001 (0.001)	Loss 2.0424 (1.8565)	Prec@1 51.562 (51.533)	Prec@5 76.562 (81.178)
Epoch: [68][12600/14090]	Time 0.914 (0.762)	Data 0.001 (0.001)	Loss 1.8241 (1.8565)	Prec@1 52.344 (51.533)	Prec@5 80.469 (81.177)
Epoch: [68][12610/14090]	Time 0.759 (0.762)	Data 0.001 (0.001)	Loss 1.9116 (1.8565)	Prec@1 53.125 (51.532)	Prec@5 79.688 (81.177)
Epoch: [68][12620/14090]	Time 0.725 (0.762)	Data 0.001 (0.001)	Loss 1.7741 (1.8565)	Prec@1 55.469 (51.532)	Prec@5 80.469 (81.177)
Epoch: [68][12630/14090]	Time 0.754 (0.762)	Data 0.001 (0.001)	Loss 1.7715 (1.8566)	Prec@1 56.250 (51.530)	Prec@5 82.812 (81.176)
Epoch: [68][12640/14090]	Time 0.744 (0.762)	Data 0.001 (0.001)	Loss 1.6214 (1.8565)	Prec@1 57.031 (51.531)	Prec@5 86.719 (81.177)
Epoch: [68][12650/14090]	Time 0.749 (0.762)	Data 0.001 (0.001)	Loss 1.8519 (1.8566)	Prec@1 50.000 (51.529)	Prec@5 80.469 (81.176)
Epoch: [68][12660/14090]	Time 0.743 (0.762)	Data 0.001 (0.001)	Loss 1.7923 (1.8566)	Prec@1 53.906 (51.530)	Prec@5 79.688 (81.175)
Epoch: [68][12670/14090]	Time 0.853 (0.762)	Data 0.001 (0.001)	Loss 1.9579 (1.8566)	Prec@1 48.438 (51.530)	Prec@5 81.250 (81.175)
Epoch: [68][12680/14090]	Time 0.743 (0.762)	Data 0.001 (0.001)	Loss 2.0226 (1.8566)	Prec@1 50.781 (51.530)	Prec@5 77.344 (81.174)
Epoch: [68][12690/14090]	Time 0.729 (0.762)	Data 0.001 (0.001)	Loss 1.9902 (1.8567)	Prec@1 51.562 (51.529)	Prec@5 81.250 (81.173)
Epoch: [68][12700/14090]	Time 0.740 (0.762)	Data 0.001 (0.001)	Loss 1.5665 (1.8566)	Prec@1 56.250 (51.531)	Prec@5 87.500 (81.175)
Epoch: [68][12710/14090]	Time 0.742 (0.762)	Data 0.001 (0.001)	Loss 1.9265 (1.8566)	Prec@1 57.812 (51.533)	Prec@5 76.562 (81.175)
Epoch: [68][12720/14090]	Time 0.731 (0.762)	Data 0.001 (0.001)	Loss 1.7862 (1.8565)	Prec@1 57.812 (51.534)	Prec@5 79.688 (81.175)
Epoch: [68][12730/14090]	Time 0.780 (0.762)	Data 0.001 (0.001)	Loss 1.8399 (1.8565)	Prec@1 53.125 (51.535)	Prec@5 80.469 (81.176)
Epoch: [68][12740/14090]	Time 0.881 (0.762)	Data 0.001 (0.001)	Loss 1.9559 (1.8565)	Prec@1 45.312 (51.535)	Prec@5 78.125 (81.176)
Epoch: [68][12750/14090]	Time 0.759 (0.762)	Data 0.001 (0.001)	Loss 1.8850 (1.8566)	Prec@1 49.219 (51.534)	Prec@5 81.250 (81.175)
Epoch: [68][12760/14090]	Time 0.732 (0.762)	Data 0.001 (0.001)	Loss 1.7813 (1.8566)	Prec@1 48.438 (51.534)	Prec@5 85.156 (81.175)
Epoch: [68][12770/14090]	Time 0.727 (0.762)	Data 0.001 (0.001)	Loss 1.8050 (1.8566)	Prec@1 57.031 (51.535)	Prec@5 80.469 (81.176)
Epoch: [68][12780/14090]	Time 0.726 (0.762)	Data 0.001 (0.001)	Loss 1.8893 (1.8566)	Prec@1 48.438 (51.536)	Prec@5 82.031 (81.175)
Epoch: [68][12790/14090]	Time 0.764 (0.762)	Data 0.001 (0.001)	Loss 1.6391 (1.8566)	Prec@1 53.906 (51.536)	Prec@5 88.281 (81.175)
Epoch: [68][12800/14090]	Time 0.748 (0.762)	Data 0.001 (0.001)	Loss 1.9952 (1.8566)	Prec@1 43.750 (51.535)	Prec@5 77.344 (81.174)
Epoch: [68][12810/14090]	Time 0.870 (0.762)	Data 0.001 (0.001)	Loss 1.9528 (1.8566)	Prec@1 50.781 (51.537)	Prec@5 76.562 (81.173)
Epoch: [68][12820/14090]	Time 0.749 (0.762)	Data 0.002 (0.001)	Loss 1.8327 (1.8566)	Prec@1 54.688 (51.537)	Prec@5 78.125 (81.173)
Epoch: [68][12830/14090]	Time 0.748 (0.762)	Data 0.001 (0.001)	Loss 2.0117 (1.8566)	Prec@1 49.219 (51.538)	Prec@5 79.688 (81.173)
Epoch: [68][12840/14090]	Time 0.745 (0.762)	Data 0.001 (0.001)	Loss 1.9838 (1.8566)	Prec@1 45.312 (51.537)	Prec@5 82.031 (81.172)
Epoch: [68][12850/14090]	Time 0.738 (0.762)	Data 0.001 (0.001)	Loss 2.0556 (1.8567)	Prec@1 44.531 (51.537)	Prec@5 78.125 (81.172)
Epoch: [68][12860/14090]	Time 0.771 (0.762)	Data 0.001 (0.001)	Loss 2.0770 (1.8568)	Prec@1 49.219 (51.535)	Prec@5 77.344 (81.170)
Epoch: [68][12870/14090]	Time 0.747 (0.762)	Data 0.001 (0.001)	Loss 1.8525 (1.8568)	Prec@1 47.656 (51.535)	Prec@5 81.250 (81.171)
Epoch: [68][12880/14090]	Time 0.809 (0.762)	Data 0.001 (0.001)	Loss 1.9361 (1.8567)	Prec@1 52.344 (51.536)	Prec@5 76.562 (81.171)
Epoch: [68][12890/14090]	Time 0.768 (0.762)	Data 0.001 (0.001)	Loss 1.9756 (1.8567)	Prec@1 49.219 (51.537)	Prec@5 76.562 (81.171)
Epoch: [68][12900/14090]	Time 0.786 (0.762)	Data 0.001 (0.001)	Loss 1.8141 (1.8566)	Prec@1 49.219 (51.538)	Prec@5 85.938 (81.173)
Epoch: [68][12910/14090]	Time 0.728 (0.762)	Data 0.001 (0.001)	Loss 1.8763 (1.8567)	Prec@1 53.125 (51.537)	Prec@5 83.594 (81.171)
Epoch: [68][12920/14090]	Time 0.727 (0.762)	Data 0.001 (0.001)	Loss 1.5022 (1.8567)	Prec@1 60.938 (51.539)	Prec@5 88.281 (81.171)
Epoch: [68][12930/14090]	Time 0.751 (0.762)	Data 0.001 (0.001)	Loss 2.1545 (1.8567)	Prec@1 39.844 (51.537)	Prec@5 75.000 (81.171)
Epoch: [68][12940/14090]	Time 0.766 (0.762)	Data 0.001 (0.001)	Loss 1.8673 (1.8567)	Prec@1 50.781 (51.538)	Prec@5 78.906 (81.171)
Epoch: [68][12950/14090]	Time 0.868 (0.762)	Data 0.001 (0.001)	Loss 1.4858 (1.8567)	Prec@1 61.719 (51.538)	Prec@5 87.500 (81.170)
Epoch: [68][12960/14090]	Time 0.729 (0.762)	Data 0.001 (0.001)	Loss 1.8236 (1.8567)	Prec@1 49.219 (51.539)	Prec@5 81.250 (81.171)
Epoch: [68][12970/14090]	Time 0.735 (0.762)	Data 0.001 (0.001)	Loss 2.0325 (1.8567)	Prec@1 45.312 (51.539)	Prec@5 78.906 (81.171)
Epoch: [68][12980/14090]	Time 0.773 (0.762)	Data 0.001 (0.001)	Loss 1.8311 (1.8567)	Prec@1 54.688 (51.539)	Prec@5 78.125 (81.171)
Epoch: [68][12990/14090]	Time 0.727 (0.762)	Data 0.001 (0.001)	Loss 1.6224 (1.8567)	Prec@1 55.469 (51.539)	Prec@5 83.594 (81.172)
Epoch: [68][13000/14090]	Time 0.749 (0.762)	Data 0.001 (0.001)	Loss 2.2210 (1.8567)	Prec@1 46.875 (51.538)	Prec@5 76.562 (81.171)
Epoch: [68][13010/14090]	Time 0.756 (0.762)	Data 0.001 (0.001)	Loss 1.8843 (1.8568)	Prec@1 50.000 (51.537)	Prec@5 76.562 (81.170)
Epoch: [68][13020/14090]	Time 0.860 (0.762)	Data 0.001 (0.001)	Loss 1.8028 (1.8568)	Prec@1 50.000 (51.534)	Prec@5 81.250 (81.169)
Epoch: [68][13030/14090]	Time 0.758 (0.762)	Data 0.001 (0.001)	Loss 1.6575 (1.8568)	Prec@1 55.469 (51.535)	Prec@5 84.375 (81.170)
Epoch: [68][13040/14090]	Time 0.739 (0.762)	Data 0.001 (0.001)	Loss 1.8900 (1.8567)	Prec@1 50.781 (51.537)	Prec@5 75.781 (81.171)
Epoch: [68][13050/14090]	Time 0.742 (0.762)	Data 0.001 (0.001)	Loss 2.0115 (1.8567)	Prec@1 45.312 (51.536)	Prec@5 76.562 (81.171)
Epoch: [68][13060/14090]	Time 0.751 (0.762)	Data 0.001 (0.001)	Loss 1.8759 (1.8567)	Prec@1 49.219 (51.536)	Prec@5 82.031 (81.171)
Epoch: [68][13070/14090]	Time 0.725 (0.762)	Data 0.001 (0.001)	Loss 1.8796 (1.8567)	Prec@1 50.781 (51.534)	Prec@5 77.344 (81.171)
Epoch: [68][13080/14090]	Time 0.751 (0.762)	Data 0.001 (0.001)	Loss 2.2216 (1.8568)	Prec@1 42.188 (51.532)	Prec@5 77.344 (81.169)
Epoch: [68][13090/14090]	Time 0.849 (0.762)	Data 0.001 (0.001)	Loss 1.7623 (1.8569)	Prec@1 53.906 (51.530)	Prec@5 82.812 (81.168)
Epoch: [68][13100/14090]	Time 0.755 (0.762)	Data 0.001 (0.001)	Loss 1.8097 (1.8569)	Prec@1 53.906 (51.531)	Prec@5 83.594 (81.168)
Epoch: [68][13110/14090]	Time 0.726 (0.762)	Data 0.001 (0.001)	Loss 1.9263 (1.8568)	Prec@1 52.344 (51.532)	Prec@5 78.906 (81.169)
Epoch: [68][13120/14090]	Time 0.767 (0.762)	Data 0.001 (0.001)	Loss 1.7324 (1.8569)	Prec@1 54.688 (51.531)	Prec@5 78.906 (81.168)
Epoch: [68][13130/14090]	Time 0.727 (0.762)	Data 0.001 (0.001)	Loss 2.0374 (1.8569)	Prec@1 50.000 (51.532)	Prec@5 78.906 (81.168)
Epoch: [68][13140/14090]	Time 0.750 (0.762)	Data 0.001 (0.001)	Loss 1.7357 (1.8568)	Prec@1 57.031 (51.534)	Prec@5 84.375 (81.169)
Epoch: [68][13150/14090]	Time 0.784 (0.762)	Data 0.001 (0.001)	Loss 1.8305 (1.8568)	Prec@1 54.688 (51.533)	Prec@5 79.688 (81.170)
Epoch: [68][13160/14090]	Time 0.856 (0.762)	Data 0.001 (0.001)	Loss 1.7141 (1.8569)	Prec@1 53.906 (51.530)	Prec@5 85.156 (81.170)
Epoch: [68][13170/14090]	Time 0.725 (0.762)	Data 0.001 (0.001)	Loss 1.7466 (1.8568)	Prec@1 54.688 (51.531)	Prec@5 80.469 (81.169)
Epoch: [68][13180/14090]	Time 0.749 (0.762)	Data 0.001 (0.001)	Loss 1.7445 (1.8569)	Prec@1 54.688 (51.530)	Prec@5 82.812 (81.168)
Epoch: [68][13190/14090]	Time 0.786 (0.762)	Data 0.001 (0.001)	Loss 1.8394 (1.8569)	Prec@1 52.344 (51.531)	Prec@5 74.219 (81.167)
Epoch: [68][13200/14090]	Time 0.745 (0.762)	Data 0.001 (0.001)	Loss 2.0139 (1.8569)	Prec@1 50.000 (51.532)	Prec@5 75.781 (81.166)
Epoch: [68][13210/14090]	Time 0.752 (0.762)	Data 0.001 (0.001)	Loss 1.5826 (1.8569)	Prec@1 57.812 (51.533)	Prec@5 85.938 (81.166)
Epoch: [68][13220/14090]	Time 0.770 (0.762)	Data 0.001 (0.001)	Loss 1.8115 (1.8569)	Prec@1 53.906 (51.533)	Prec@5 80.469 (81.166)
Epoch: [68][13230/14090]	Time 0.851 (0.762)	Data 0.001 (0.001)	Loss 1.5544 (1.8569)	Prec@1 60.938 (51.533)	Prec@5 85.938 (81.166)
Epoch: [68][13240/14090]	Time 0.743 (0.762)	Data 0.001 (0.001)	Loss 1.8406 (1.8570)	Prec@1 57.031 (51.534)	Prec@5 80.469 (81.166)
Epoch: [68][13250/14090]	Time 0.730 (0.762)	Data 0.001 (0.001)	Loss 1.8149 (1.8570)	Prec@1 49.219 (51.534)	Prec@5 79.688 (81.165)
Epoch: [68][13260/14090]	Time 0.753 (0.762)	Data 0.001 (0.001)	Loss 1.7629 (1.8570)	Prec@1 53.906 (51.533)	Prec@5 84.375 (81.166)
Epoch: [68][13270/14090]	Time 0.745 (0.762)	Data 0.001 (0.001)	Loss 1.6347 (1.8569)	Prec@1 57.031 (51.534)	Prec@5 86.719 (81.168)
Epoch: [68][13280/14090]	Time 0.735 (0.762)	Data 0.001 (0.001)	Loss 1.6592 (1.8569)	Prec@1 59.375 (51.535)	Prec@5 84.375 (81.168)
Epoch: [68][13290/14090]	Time 0.751 (0.762)	Data 0.001 (0.001)	Loss 1.8139 (1.8569)	Prec@1 50.000 (51.534)	Prec@5 82.031 (81.167)
Epoch: [68][13300/14090]	Time 0.860 (0.762)	Data 0.001 (0.001)	Loss 1.8601 (1.8569)	Prec@1 50.781 (51.535)	Prec@5 82.031 (81.168)
Epoch: [68][13310/14090]	Time 0.759 (0.762)	Data 0.001 (0.001)	Loss 1.9011 (1.8569)	Prec@1 47.656 (51.537)	Prec@5 80.469 (81.168)
Epoch: [68][13320/14090]	Time 0.761 (0.762)	Data 0.001 (0.001)	Loss 1.6991 (1.8569)	Prec@1 53.906 (51.537)	Prec@5 83.594 (81.168)
Epoch: [68][13330/14090]	Time 0.736 (0.762)	Data 0.001 (0.001)	Loss 1.6935 (1.8568)	Prec@1 53.906 (51.539)	Prec@5 87.500 (81.169)
Epoch: [68][13340/14090]	Time 0.764 (0.762)	Data 0.001 (0.001)	Loss 1.8232 (1.8568)	Prec@1 51.562 (51.537)	Prec@5 81.250 (81.169)
Epoch: [68][13350/14090]	Time 0.763 (0.762)	Data 0.001 (0.001)	Loss 2.0065 (1.8568)	Prec@1 51.562 (51.538)	Prec@5 76.562 (81.169)
Epoch: [68][13360/14090]	Time 0.779 (0.762)	Data 0.001 (0.001)	Loss 1.6414 (1.8568)	Prec@1 58.594 (51.537)	Prec@5 85.938 (81.170)
Epoch: [68][13370/14090]	Time 0.844 (0.762)	Data 0.001 (0.001)	Loss 1.8856 (1.8568)	Prec@1 51.562 (51.536)	Prec@5 82.812 (81.170)
Epoch: [68][13380/14090]	Time 0.736 (0.762)	Data 0.001 (0.001)	Loss 1.5583 (1.8568)	Prec@1 59.375 (51.539)	Prec@5 85.938 (81.172)
Epoch: [68][13390/14090]	Time 0.736 (0.762)	Data 0.001 (0.001)	Loss 2.0512 (1.8568)	Prec@1 50.000 (51.538)	Prec@5 71.875 (81.172)
Epoch: [68][13400/14090]	Time 0.752 (0.762)	Data 0.001 (0.001)	Loss 1.6257 (1.8567)	Prec@1 58.594 (51.539)	Prec@5 85.156 (81.172)
Epoch: [68][13410/14090]	Time 0.725 (0.762)	Data 0.001 (0.001)	Loss 1.7775 (1.8567)	Prec@1 53.125 (51.539)	Prec@5 80.469 (81.172)
Epoch: [68][13420/14090]	Time 0.799 (0.762)	Data 0.001 (0.001)	Loss 1.7915 (1.8567)	Prec@1 56.250 (51.539)	Prec@5 85.156 (81.171)
Epoch: [68][13430/14090]	Time 0.722 (0.762)	Data 0.001 (0.001)	Loss 1.9835 (1.8567)	Prec@1 46.094 (51.537)	Prec@5 82.031 (81.172)
Epoch: [68][13440/14090]	Time 0.864 (0.762)	Data 0.001 (0.001)	Loss 1.8340 (1.8567)	Prec@1 54.688 (51.539)	Prec@5 83.594 (81.172)
Epoch: [68][13450/14090]	Time 0.765 (0.762)	Data 0.001 (0.001)	Loss 2.0018 (1.8567)	Prec@1 50.000 (51.538)	Prec@5 75.000 (81.171)
Epoch: [68][13460/14090]	Time 0.728 (0.762)	Data 0.001 (0.001)	Loss 2.2010 (1.8568)	Prec@1 45.312 (51.537)	Prec@5 72.656 (81.170)
Epoch: [68][13470/14090]	Time 0.731 (0.762)	Data 0.001 (0.001)	Loss 1.7424 (1.8569)	Prec@1 53.125 (51.535)	Prec@5 84.375 (81.169)
Epoch: [68][13480/14090]	Time 0.722 (0.762)	Data 0.001 (0.001)	Loss 1.9698 (1.8569)	Prec@1 51.562 (51.536)	Prec@5 83.594 (81.170)
Epoch: [68][13490/14090]	Time 0.751 (0.762)	Data 0.001 (0.001)	Loss 1.9317 (1.8569)	Prec@1 51.562 (51.537)	Prec@5 80.469 (81.170)
Epoch: [68][13500/14090]	Time 0.734 (0.762)	Data 0.001 (0.001)	Loss 1.8117 (1.8569)	Prec@1 53.125 (51.537)	Prec@5 80.469 (81.170)
Epoch: [68][13510/14090]	Time 0.883 (0.762)	Data 0.001 (0.001)	Loss 1.6627 (1.8569)	Prec@1 55.469 (51.536)	Prec@5 87.500 (81.169)
Epoch: [68][13520/14090]	Time 0.736 (0.762)	Data 0.001 (0.001)	Loss 1.4979 (1.8569)	Prec@1 57.031 (51.537)	Prec@5 90.625 (81.171)
Epoch: [68][13530/14090]	Time 0.749 (0.762)	Data 0.001 (0.001)	Loss 1.3801 (1.8568)	Prec@1 62.500 (51.537)	Prec@5 91.406 (81.172)
Epoch: [68][13540/14090]	Time 0.741 (0.762)	Data 0.001 (0.001)	Loss 1.9355 (1.8569)	Prec@1 52.344 (51.536)	Prec@5 78.906 (81.171)
Epoch: [68][13550/14090]	Time 0.738 (0.762)	Data 0.001 (0.001)	Loss 1.7811 (1.8569)	Prec@1 53.125 (51.535)	Prec@5 82.031 (81.170)
Epoch: [68][13560/14090]	Time 0.743 (0.762)	Data 0.001 (0.001)	Loss 1.9181 (1.8569)	Prec@1 43.750 (51.534)	Prec@5 81.250 (81.170)
Epoch: [68][13570/14090]	Time 0.770 (0.762)	Data 0.001 (0.001)	Loss 1.8027 (1.8569)	Prec@1 53.125 (51.533)	Prec@5 82.031 (81.169)
Epoch: [68][13580/14090]	Time 0.846 (0.762)	Data 0.001 (0.001)	Loss 1.7939 (1.8569)	Prec@1 54.688 (51.532)	Prec@5 82.031 (81.169)
Epoch: [68][13590/14090]	Time 0.741 (0.762)	Data 0.001 (0.001)	Loss 1.8826 (1.8570)	Prec@1 54.688 (51.531)	Prec@5 77.344 (81.167)
Epoch: [68][13600/14090]	Time 0.729 (0.762)	Data 0.001 (0.001)	Loss 1.8616 (1.8570)	Prec@1 53.125 (51.531)	Prec@5 80.469 (81.168)
Epoch: [68][13610/14090]	Time 0.745 (0.762)	Data 0.001 (0.001)	Loss 1.9205 (1.8570)	Prec@1 52.344 (51.531)	Prec@5 82.031 (81.167)
Epoch: [68][13620/14090]	Time 0.731 (0.762)	Data 0.001 (0.001)	Loss 1.9152 (1.8570)	Prec@1 51.562 (51.531)	Prec@5 81.250 (81.168)
Epoch: [68][13630/14090]	Time 0.767 (0.762)	Data 0.001 (0.001)	Loss 1.6497 (1.8570)	Prec@1 59.375 (51.530)	Prec@5 83.594 (81.168)
Epoch: [68][13640/14090]	Time 0.748 (0.762)	Data 0.001 (0.001)	Loss 1.7186 (1.8570)	Prec@1 51.562 (51.530)	Prec@5 78.906 (81.167)
Epoch: [68][13650/14090]	Time 0.840 (0.762)	Data 0.001 (0.001)	Loss 1.9197 (1.8570)	Prec@1 52.344 (51.530)	Prec@5 80.469 (81.168)
Epoch: [68][13660/14090]	Time 0.721 (0.762)	Data 0.001 (0.001)	Loss 1.8311 (1.8570)	Prec@1 54.688 (51.529)	Prec@5 82.812 (81.168)
Epoch: [68][13670/14090]	Time 0.777 (0.762)	Data 0.001 (0.001)	Loss 1.6844 (1.8570)	Prec@1 50.781 (51.529)	Prec@5 82.812 (81.168)
Epoch: [68][13680/14090]	Time 0.736 (0.762)	Data 0.001 (0.001)	Loss 1.7049 (1.8570)	Prec@1 56.250 (51.529)	Prec@5 84.375 (81.169)
Epoch: [68][13690/14090]	Time 0.735 (0.762)	Data 0.001 (0.001)	Loss 1.6866 (1.8570)	Prec@1 57.031 (51.529)	Prec@5 86.719 (81.170)
Epoch: [68][13700/14090]	Time 0.752 (0.762)	Data 0.001 (0.001)	Loss 2.0814 (1.8570)	Prec@1 50.000 (51.528)	Prec@5 79.688 (81.169)
Epoch: [68][13710/14090]	Time 0.782 (0.762)	Data 0.001 (0.001)	Loss 1.9645 (1.8570)	Prec@1 50.000 (51.527)	Prec@5 78.906 (81.169)
Epoch: [68][13720/14090]	Time 0.871 (0.762)	Data 0.001 (0.001)	Loss 2.1793 (1.8571)	Prec@1 45.312 (51.526)	Prec@5 80.469 (81.169)
Epoch: [68][13730/14090]	Time 0.724 (0.762)	Data 0.001 (0.001)	Loss 1.9079 (1.8571)	Prec@1 52.344 (51.527)	Prec@5 84.375 (81.169)
Epoch: [68][13740/14090]	Time 0.735 (0.762)	Data 0.001 (0.001)	Loss 1.6616 (1.8571)	Prec@1 54.688 (51.527)	Prec@5 85.938 (81.170)
Epoch: [68][13750/14090]	Time 0.766 (0.762)	Data 0.001 (0.001)	Loss 1.9726 (1.8571)	Prec@1 47.656 (51.527)	Prec@5 81.250 (81.170)
Epoch: [68][13760/14090]	Time 0.742 (0.762)	Data 0.001 (0.001)	Loss 2.1212 (1.8571)	Prec@1 46.094 (51.526)	Prec@5 71.094 (81.170)
Epoch: [68][13770/14090]	Time 0.748 (0.762)	Data 0.001 (0.001)	Loss 1.7107 (1.8571)	Prec@1 54.688 (51.526)	Prec@5 82.812 (81.170)
Epoch: [68][13780/14090]	Time 0.740 (0.762)	Data 0.001 (0.001)	Loss 2.0154 (1.8571)	Prec@1 45.312 (51.526)	Prec@5 76.562 (81.169)
Epoch: [68][13790/14090]	Time 0.881 (0.762)	Data 0.001 (0.001)	Loss 2.1268 (1.8571)	Prec@1 46.875 (51.527)	Prec@5 77.344 (81.169)
Epoch: [68][13800/14090]	Time 0.753 (0.762)	Data 0.001 (0.001)	Loss 1.8814 (1.8572)	Prec@1 48.438 (51.525)	Prec@5 80.469 (81.168)
Epoch: [68][13810/14090]	Time 0.754 (0.762)	Data 0.001 (0.001)	Loss 1.7835 (1.8572)	Prec@1 57.031 (51.526)	Prec@5 82.031 (81.168)
Epoch: [68][13820/14090]	Time 0.749 (0.762)	Data 0.001 (0.001)	Loss 1.5984 (1.8571)	Prec@1 60.938 (51.526)	Prec@5 87.500 (81.168)
Epoch: [68][13830/14090]	Time 0.730 (0.762)	Data 0.001 (0.001)	Loss 1.9177 (1.8572)	Prec@1 45.312 (51.525)	Prec@5 80.469 (81.168)
Epoch: [68][13840/14090]	Time 0.759 (0.762)	Data 0.001 (0.001)	Loss 2.1390 (1.8572)	Prec@1 45.312 (51.526)	Prec@5 78.906 (81.168)
Epoch: [68][13850/14090]	Time 0.733 (0.762)	Data 0.001 (0.001)	Loss 1.5838 (1.8572)	Prec@1 55.469 (51.526)	Prec@5 87.500 (81.168)
Epoch: [68][13860/14090]	Time 0.898 (0.762)	Data 0.001 (0.001)	Loss 1.8808 (1.8572)	Prec@1 54.688 (51.525)	Prec@5 80.469 (81.168)
Epoch: [68][13870/14090]	Time 0.745 (0.762)	Data 0.001 (0.001)	Loss 1.7085 (1.8572)	Prec@1 63.281 (51.525)	Prec@5 82.031 (81.168)
Epoch: [68][13880/14090]	Time 0.754 (0.762)	Data 0.001 (0.001)	Loss 1.8699 (1.8571)	Prec@1 48.438 (51.525)	Prec@5 78.906 (81.169)
Epoch: [68][13890/14090]	Time 0.738 (0.762)	Data 0.001 (0.001)	Loss 1.8731 (1.8572)	Prec@1 53.125 (51.524)	Prec@5 79.688 (81.168)
Epoch: [68][13900/14090]	Time 0.777 (0.762)	Data 0.001 (0.001)	Loss 1.4975 (1.8572)	Prec@1 60.156 (51.524)	Prec@5 87.500 (81.168)
Epoch: [68][13910/14090]	Time 0.779 (0.762)	Data 0.001 (0.001)	Loss 1.9581 (1.8572)	Prec@1 46.094 (51.523)	Prec@5 79.688 (81.168)
Epoch: [68][13920/14090]	Time 0.766 (0.762)	Data 0.001 (0.001)	Loss 1.5823 (1.8572)	Prec@1 61.719 (51.524)	Prec@5 82.812 (81.169)
Epoch: [68][13930/14090]	Time 0.849 (0.762)	Data 0.001 (0.001)	Loss 1.8036 (1.8572)	Prec@1 53.906 (51.525)	Prec@5 78.906 (81.169)
Epoch: [68][13940/14090]	Time 0.753 (0.762)	Data 0.001 (0.001)	Loss 1.6445 (1.8571)	Prec@1 60.938 (51.525)	Prec@5 85.938 (81.170)
Epoch: [68][13950/14090]	Time 0.742 (0.762)	Data 0.001 (0.001)	Loss 1.7851 (1.8571)	Prec@1 50.000 (51.526)	Prec@5 78.906 (81.170)
Epoch: [68][13960/14090]	Time 0.746 (0.762)	Data 0.001 (0.001)	Loss 1.9461 (1.8571)	Prec@1 51.562 (51.527)	Prec@5 78.906 (81.170)
Epoch: [68][13970/14090]	Time 0.722 (0.762)	Data 0.001 (0.001)	Loss 1.6293 (1.8571)	Prec@1 59.375 (51.527)	Prec@5 83.594 (81.171)
Epoch: [68][13980/14090]	Time 0.752 (0.762)	Data 0.001 (0.001)	Loss 1.5343 (1.8571)	Prec@1 61.719 (51.529)	Prec@5 85.938 (81.172)
Epoch: [68][13990/14090]	Time 0.750 (0.762)	Data 0.001 (0.001)	Loss 2.0555 (1.8571)	Prec@1 44.531 (51.529)	Prec@5 82.031 (81.172)
Epoch: [68][14000/14090]	Time 0.897 (0.762)	Data 0.001 (0.001)	Loss 1.9528 (1.8571)	Prec@1 50.781 (51.528)	Prec@5 78.906 (81.172)
Epoch: [68][14010/14090]	Time 0.733 (0.762)	Data 0.001 (0.001)	Loss 2.0764 (1.8571)	Prec@1 50.781 (51.528)	Prec@5 76.562 (81.171)
Epoch: [68][14020/14090]	Time 0.749 (0.762)	Data 0.001 (0.001)	Loss 1.8081 (1.8571)	Prec@1 52.344 (51.527)	Prec@5 83.594 (81.171)
Epoch: [68][14030/14090]	Time 0.739 (0.762)	Data 0.001 (0.001)	Loss 1.9032 (1.8571)	Prec@1 52.344 (51.527)	Prec@5 82.812 (81.171)
Epoch: [68][14040/14090]	Time 0.739 (0.762)	Data 0.001 (0.001)	Loss 1.9007 (1.8571)	Prec@1 51.562 (51.528)	Prec@5 83.594 (81.171)
Epoch: [68][14050/14090]	Time 0.754 (0.762)	Data 0.001 (0.001)	Loss 2.1447 (1.8572)	Prec@1 46.094 (51.527)	Prec@5 75.000 (81.170)
Epoch: [68][14060/14090]	Time 0.763 (0.762)	Data 0.001 (0.001)	Loss 2.0388 (1.8572)	Prec@1 50.781 (51.527)	Prec@5 75.781 (81.170)
Epoch: [68][14070/14090]	Time 0.891 (0.762)	Data 0.001 (0.001)	Loss 1.6789 (1.8573)	Prec@1 58.594 (51.526)	Prec@5 82.812 (81.168)
Epoch: [68][14080/14090]	Time 0.775 (0.762)	Data 0.000 (0.001)	Loss 1.7471 (1.8573)	Prec@1 57.031 (51.526)	Prec@5 81.250 (81.168)
Test: [0/286]	Time 5.282 (5.282)	Loss 1.4808 (1.4808)	Prec@1 50.781 (50.781)	Prec@5 95.312 (95.312)
Test: [10/286]	Time 0.316 (0.912)	Loss 1.6297 (1.7497)	Prec@1 57.031 (55.185)	Prec@5 89.844 (85.227)
Test: [20/286]	Time 0.250 (0.692)	Loss 1.4026 (1.6824)	Prec@1 61.719 (55.618)	Prec@5 91.406 (86.049)
Test: [30/286]	Time 0.226 (0.617)	Loss 1.8390 (1.6013)	Prec@1 51.562 (58.039)	Prec@5 82.031 (86.416)
Test: [40/286]	Time 2.444 (0.632)	Loss 1.6597 (1.6338)	Prec@1 51.562 (57.088)	Prec@5 86.719 (86.223)
Test: [50/286]	Time 0.238 (0.600)	Loss 0.4500 (1.6323)	Prec@1 92.188 (57.062)	Prec@5 96.094 (86.351)
Test: [60/286]	Time 0.250 (0.575)	Loss 2.7558 (1.6665)	Prec@1 32.812 (56.212)	Prec@5 65.625 (85.310)
Test: [70/286]	Time 0.227 (0.558)	Loss 1.1175 (1.6501)	Prec@1 73.438 (56.459)	Prec@5 92.969 (85.585)
Test: [80/286]	Time 2.224 (0.572)	Loss 1.8015 (1.6864)	Prec@1 44.531 (55.237)	Prec@5 85.156 (85.204)
Test: [90/286]	Time 0.234 (0.563)	Loss 1.7062 (1.6932)	Prec@1 50.781 (55.108)	Prec@5 87.500 (85.096)
Test: [100/286]	Time 0.228 (0.553)	Loss 1.9853 (1.7042)	Prec@1 35.156 (54.455)	Prec@5 85.156 (85.040)
Test: [110/286]	Time 0.238 (0.546)	Loss 2.4996 (1.7232)	Prec@1 37.500 (54.054)	Prec@5 72.656 (84.896)
Test: [120/286]	Time 2.188 (0.553)	Loss 1.7608 (1.7115)	Prec@1 58.594 (54.597)	Prec@5 77.344 (84.995)
Test: [130/286]	Time 0.356 (0.547)	Loss 0.8670 (1.7033)	Prec@1 74.219 (54.807)	Prec@5 96.875 (85.031)
Test: [140/286]	Time 0.360 (0.541)	Loss 2.2335 (1.6947)	Prec@1 49.219 (55.037)	Prec@5 73.438 (85.057)
Test: [150/286]	Time 0.252 (0.536)	Loss 2.7298 (1.7070)	Prec@1 27.344 (54.605)	Prec@5 73.438 (84.970)
Test: [160/286]	Time 1.908 (0.542)	Loss 2.6001 (1.7018)	Prec@1 26.562 (54.736)	Prec@5 70.312 (85.040)
Test: [170/286]	Time 0.330 (0.539)	Loss 1.9942 (1.6945)	Prec@1 46.094 (54.857)	Prec@5 81.250 (85.156)
Test: [180/286]	Time 0.306 (0.535)	Loss 1.8305 (1.7039)	Prec@1 57.031 (54.597)	Prec@5 80.469 (85.031)
Test: [190/286]	Time 0.354 (0.532)	Loss 2.9134 (1.7236)	Prec@1 14.844 (54.082)	Prec@5 73.438 (84.849)
Test: [200/286]	Time 1.788 (0.535)	Loss 1.7047 (1.7190)	Prec@1 60.156 (54.198)	Prec@5 88.281 (84.884)
Test: [210/286]	Time 0.309 (0.534)	Loss 1.9062 (1.7224)	Prec@1 52.344 (54.047)	Prec@5 85.156 (84.886)
Test: [220/286]	Time 0.369 (0.531)	Loss 2.6531 (1.7284)	Prec@1 25.781 (54.019)	Prec@5 70.312 (84.704)
Test: [230/286]	Time 0.229 (0.529)	Loss 1.1579 (1.7250)	Prec@1 68.750 (54.106)	Prec@5 88.281 (84.696)
Test: [240/286]	Time 1.076 (0.530)	Loss 1.8620 (1.7231)	Prec@1 50.000 (54.195)	Prec@5 84.375 (84.715)
Test: [250/286]	Time 0.315 (0.531)	Loss 1.7375 (1.7144)	Prec@1 49.219 (54.239)	Prec@5 84.375 (84.907)
Test: [260/286]	Time 0.291 (0.529)	Loss 1.5136 (1.7040)	Prec@1 59.375 (54.556)	Prec@5 87.500 (85.075)
Test: [270/286]	Time 0.235 (0.528)	Loss 1.0648 (1.7031)	Prec@1 73.438 (54.572)	Prec@5 91.406 (85.127)
Test: [280/286]	Time 0.262 (0.525)	Loss 1.7305 (1.6887)	Prec@1 57.031 (55.046)	Prec@5 89.062 (85.256)
 * Prec@1 55.123 Prec@5 85.261
Epoch: [69][0/14090]	Time 6.573 (6.573)	Data 5.785 (5.785)	Loss 1.9137 (1.9137)	Prec@1 56.250 (56.250)	Prec@5 80.469 (80.469)
Epoch: [69][10/14090]	Time 0.720 (1.266)	Data 0.001 (0.527)	Loss 1.8293 (1.8314)	Prec@1 49.219 (52.628)	Prec@5 79.688 (81.037)
Epoch: [69][20/14090]	Time 0.767 (1.024)	Data 0.001 (0.276)	Loss 1.4894 (1.8115)	Prec@1 60.938 (52.790)	Prec@5 85.156 (81.101)
Epoch: [69][30/14090]	Time 0.720 (0.935)	Data 0.001 (0.187)	Loss 1.8873 (1.8348)	Prec@1 50.781 (52.344)	Prec@5 76.562 (81.023)
Epoch: [69][40/14090]	Time 0.897 (0.894)	Data 0.001 (0.142)	Loss 1.8962 (1.8397)	Prec@1 55.469 (52.191)	Prec@5 78.906 (81.079)
Epoch: [69][50/14090]	Time 0.732 (0.865)	Data 0.001 (0.114)	Loss 1.7497 (1.8420)	Prec@1 54.688 (51.991)	Prec@5 80.469 (81.020)
Epoch: [69][60/14090]	Time 0.753 (0.846)	Data 0.001 (0.096)	Loss 1.9263 (1.8354)	Prec@1 49.219 (52.024)	Prec@5 87.500 (81.391)
Epoch: [69][70/14090]	Time 0.721 (0.834)	Data 0.001 (0.082)	Loss 1.8841 (1.8360)	Prec@1 56.250 (52.102)	Prec@5 81.250 (81.349)
Epoch: [69][80/14090]	Time 0.756 (0.825)	Data 0.001 (0.072)	Loss 1.7980 (1.8363)	Prec@1 52.344 (52.083)	Prec@5 80.469 (81.211)
Epoch: [69][90/14090]	Time 0.745 (0.819)	Data 0.001 (0.064)	Loss 2.0791 (1.8323)	Prec@1 49.219 (52.060)	Prec@5 78.906 (81.447)
Epoch: [69][100/14090]	Time 0.750 (0.813)	Data 0.001 (0.058)	Loss 2.0636 (1.8330)	Prec@1 42.188 (51.911)	Prec@5 80.469 (81.575)
Epoch: [69][110/14090]	Time 0.869 (0.809)	Data 0.001 (0.053)	Loss 2.0413 (1.8375)	Prec@1 46.094 (51.851)	Prec@5 78.906 (81.454)
Epoch: [69][120/14090]	Time 0.749 (0.805)	Data 0.002 (0.049)	Loss 1.8588 (1.8390)	Prec@1 52.344 (51.905)	Prec@5 80.469 (81.353)
Epoch: [69][130/14090]	Time 0.740 (0.801)	Data 0.001 (0.045)	Loss 1.6929 (1.8395)	Prec@1 52.344 (51.926)	Prec@5 82.812 (81.310)
Epoch: [69][140/14090]	Time 0.756 (0.799)	Data 0.001 (0.042)	Loss 1.6564 (1.8344)	Prec@1 57.031 (52.000)	Prec@5 82.812 (81.389)
Epoch: [69][150/14090]	Time 0.721 (0.796)	Data 0.001 (0.039)	Loss 1.7834 (1.8376)	Prec@1 52.344 (51.868)	Prec@5 85.156 (81.359)
Epoch: [69][160/14090]	Time 0.744 (0.795)	Data 0.001 (0.037)	Loss 1.7435 (1.8384)	Prec@1 55.469 (51.820)	Prec@5 82.031 (81.381)
Epoch: [69][170/14090]	Time 0.748 (0.793)	Data 0.001 (0.035)	Loss 1.6654 (1.8347)	Prec@1 59.375 (51.987)	Prec@5 87.500 (81.424)
Epoch: [69][180/14090]	Time 0.830 (0.792)	Data 0.001 (0.033)	Loss 1.5471 (1.8292)	Prec@1 59.375 (52.171)	Prec@5 89.062 (81.487)
Epoch: [69][190/14090]	Time 0.751 (0.790)	Data 0.001 (0.031)	Loss 1.9069 (1.8300)	Prec@1 50.781 (52.192)	Prec@5 82.031 (81.487)
Epoch: [69][200/14090]	Time 0.752 (0.788)	Data 0.001 (0.030)	Loss 1.8492 (1.8333)	Prec@1 52.344 (52.138)	Prec@5 80.469 (81.452)
Epoch: [69][210/14090]	Time 0.754 (0.787)	Data 0.001 (0.028)	Loss 1.7825 (1.8337)	Prec@1 54.688 (52.218)	Prec@5 79.688 (81.431)
Epoch: [69][220/14090]	Time 0.772 (0.786)	Data 0.001 (0.027)	Loss 1.8972 (1.8349)	Prec@1 51.562 (52.171)	Prec@5 77.344 (81.395)
Epoch: [69][230/14090]	Time 0.729 (0.785)	Data 0.001 (0.026)	Loss 1.9930 (1.8311)	Prec@1 51.562 (52.283)	Prec@5 77.344 (81.463)
Epoch: [69][240/14090]	Time 0.756 (0.783)	Data 0.001 (0.025)	Loss 2.0433 (1.8325)	Prec@1 56.250 (52.243)	Prec@5 75.781 (81.480)
Epoch: [69][250/14090]	Time 0.851 (0.783)	Data 0.001 (0.024)	Loss 1.7340 (1.8323)	Prec@1 58.594 (52.303)	Prec@5 82.031 (81.518)
Epoch: [69][260/14090]	Time 0.784 (0.782)	Data 0.001 (0.023)	Loss 1.7443 (1.8303)	Prec@1 50.000 (52.350)	Prec@5 82.031 (81.477)
Epoch: [69][270/14090]	Time 0.728 (0.781)	Data 0.001 (0.022)	Loss 1.9443 (1.8314)	Prec@1 51.562 (52.352)	Prec@5 79.688 (81.478)
Epoch: [69][280/14090]	Time 0.749 (0.781)	Data 0.001 (0.021)	Loss 2.0098 (1.8325)	Prec@1 47.656 (52.285)	Prec@5 78.125 (81.470)
Epoch: [69][290/14090]	Time 0.762 (0.780)	Data 0.001 (0.021)	Loss 1.7735 (1.8299)	Prec@1 50.000 (52.312)	Prec@5 81.250 (81.516)
Epoch: [69][300/14090]	Time 0.755 (0.780)	Data 0.001 (0.020)	Loss 1.9003 (1.8306)	Prec@1 55.469 (52.284)	Prec@5 78.125 (81.463)
Epoch: [69][310/14090]	Time 0.730 (0.779)	Data 0.001 (0.019)	Loss 1.9334 (1.8321)	Prec@1 52.344 (52.291)	Prec@5 78.906 (81.479)
Epoch: [69][320/14090]	Time 0.926 (0.779)	Data 0.001 (0.019)	Loss 1.6024 (1.8319)	Prec@1 58.594 (52.293)	Prec@5 85.156 (81.474)
Epoch: [69][330/14090]	Time 0.763 (0.779)	Data 0.001 (0.018)	Loss 1.9939 (1.8360)	Prec@1 47.656 (52.226)	Prec@5 78.125 (81.408)
Epoch: [69][340/14090]	Time 0.756 (0.778)	Data 0.001 (0.018)	Loss 1.8654 (1.8393)	Prec@1 53.125 (52.202)	Prec@5 82.812 (81.374)
Epoch: [69][350/14090]	Time 0.753 (0.778)	Data 0.001 (0.017)	Loss 1.7784 (1.8398)	Prec@1 53.906 (52.217)	Prec@5 82.812 (81.364)
Epoch: [69][360/14090]	Time 0.778 (0.778)	Data 0.001 (0.017)	Loss 1.9521 (1.8396)	Prec@1 49.219 (52.190)	Prec@5 81.250 (81.384)
Epoch: [69][370/14090]	Time 0.740 (0.778)	Data 0.001 (0.016)	Loss 1.4289 (1.8387)	Prec@1 65.625 (52.175)	Prec@5 89.062 (81.387)
Epoch: [69][380/14090]	Time 0.740 (0.777)	Data 0.001 (0.016)	Loss 2.0021 (1.8401)	Prec@1 49.219 (52.114)	Prec@5 80.469 (81.353)
Epoch: [69][390/14090]	Time 0.877 (0.777)	Data 0.001 (0.016)	Loss 2.1243 (1.8413)	Prec@1 43.750 (52.078)	Prec@5 75.781 (81.342)
Epoch: [69][400/14090]	Time 0.757 (0.777)	Data 0.001 (0.015)	Loss 1.8033 (1.8393)	Prec@1 51.562 (52.104)	Prec@5 85.156 (81.359)
Epoch: [69][410/14090]	Time 0.772 (0.776)	Data 0.001 (0.015)	Loss 1.8647 (1.8397)	Prec@1 50.000 (52.091)	Prec@5 76.562 (81.353)
Epoch: [69][420/14090]	Time 0.731 (0.776)	Data 0.001 (0.015)	Loss 1.6494 (1.8397)	Prec@1 60.156 (52.088)	Prec@5 87.500 (81.354)
Epoch: [69][430/14090]	Time 0.734 (0.776)	Data 0.001 (0.014)	Loss 1.6712 (1.8391)	Prec@1 57.031 (52.114)	Prec@5 85.938 (81.371)
Epoch: [69][440/14090]	Time 0.755 (0.776)	Data 0.001 (0.014)	Loss 1.8981 (1.8409)	Prec@1 46.875 (52.067)	Prec@5 78.125 (81.342)
Epoch: [69][450/14090]	Time 0.753 (0.775)	Data 0.001 (0.014)	Loss 1.7534 (1.8416)	Prec@1 51.562 (52.004)	Prec@5 82.031 (81.347)
Epoch: [69][460/14090]	Time 0.848 (0.775)	Data 0.001 (0.013)	Loss 1.8609 (1.8415)	Prec@1 52.344 (52.017)	Prec@5 82.031 (81.343)
Epoch: [69][470/14090]	Time 0.742 (0.775)	Data 0.001 (0.013)	Loss 2.0020 (1.8431)	Prec@1 49.219 (51.949)	Prec@5 78.125 (81.323)
Epoch: [69][480/14090]	Time 0.722 (0.775)	Data 0.001 (0.013)	Loss 1.7847 (1.8428)	Prec@1 52.344 (51.978)	Prec@5 82.031 (81.320)
Epoch: [69][490/14090]	Time 0.749 (0.775)	Data 0.001 (0.013)	Loss 1.9990 (1.8417)	Prec@1 53.125 (51.997)	Prec@5 78.125 (81.330)
Epoch: [69][500/14090]	Time 0.727 (0.774)	Data 0.001 (0.012)	Loss 1.7553 (1.8417)	Prec@1 59.375 (51.973)	Prec@5 85.156 (81.340)
Epoch: [69][510/14090]	Time 0.735 (0.774)	Data 0.001 (0.012)	Loss 1.7921 (1.8411)	Prec@1 50.000 (51.995)	Prec@5 83.594 (81.346)
Epoch: [69][520/14090]	Time 0.786 (0.774)	Data 0.001 (0.012)	Loss 1.7571 (1.8405)	Prec@1 48.438 (51.994)	Prec@5 85.156 (81.346)
Epoch: [69][530/14090]	Time 0.866 (0.774)	Data 0.001 (0.012)	Loss 1.8576 (1.8412)	Prec@1 50.000 (51.949)	Prec@5 79.688 (81.337)
Epoch: [69][540/14090]	Time 0.724 (0.773)	Data 0.001 (0.012)	Loss 1.9580 (1.8417)	Prec@1 48.438 (51.931)	Prec@5 84.375 (81.331)
Epoch: [69][550/14090]	Time 0.771 (0.773)	Data 0.001 (0.011)	Loss 1.8106 (1.8413)	Prec@1 53.906 (51.961)	Prec@5 79.688 (81.321)
Epoch: [69][560/14090]	Time 0.732 (0.773)	Data 0.001 (0.011)	Loss 1.9362 (1.8429)	Prec@1 46.875 (51.909)	Prec@5 80.469 (81.317)
Epoch: [69][570/14090]	Time 0.731 (0.773)	Data 0.001 (0.011)	Loss 1.8551 (1.8426)	Prec@1 44.531 (51.910)	Prec@5 84.375 (81.314)
Epoch: [69][580/14090]	Time 0.743 (0.773)	Data 0.001 (0.011)	Loss 2.0661 (1.8426)	Prec@1 48.438 (51.928)	Prec@5 72.656 (81.308)
Epoch: [69][590/14090]	Time 0.750 (0.773)	Data 0.001 (0.011)	Loss 1.9482 (1.8423)	Prec@1 50.781 (51.959)	Prec@5 79.688 (81.317)
Epoch: [69][600/14090]	Time 0.906 (0.773)	Data 0.001 (0.010)	Loss 1.9072 (1.8425)	Prec@1 53.125 (51.924)	Prec@5 78.906 (81.320)
Epoch: [69][610/14090]	Time 0.741 (0.773)	Data 0.001 (0.010)	Loss 1.8688 (1.8426)	Prec@1 51.562 (51.924)	Prec@5 82.812 (81.329)
Epoch: [69][620/14090]	Time 0.733 (0.773)	Data 0.001 (0.010)	Loss 1.8323 (1.8433)	Prec@1 47.656 (51.886)	Prec@5 82.812 (81.315)
Epoch: [69][630/14090]	Time 0.739 (0.773)	Data 0.001 (0.010)	Loss 2.0153 (1.8439)	Prec@1 50.781 (51.873)	Prec@5 75.781 (81.301)
Epoch: [69][640/14090]	Time 0.739 (0.772)	Data 0.001 (0.010)	Loss 2.1044 (1.8441)	Prec@1 43.750 (51.875)	Prec@5 75.000 (81.300)
Epoch: [69][650/14090]	Time 0.757 (0.772)	Data 0.002 (0.010)	Loss 1.6068 (1.8441)	Prec@1 55.469 (51.878)	Prec@5 86.719 (81.306)
Epoch: [69][660/14090]	Time 0.744 (0.772)	Data 0.001 (0.010)	Loss 1.9174 (1.8434)	Prec@1 42.969 (51.883)	Prec@5 80.469 (81.320)
Epoch: [69][670/14090]	Time 0.859 (0.772)	Data 0.001 (0.009)	Loss 2.1718 (1.8428)	Prec@1 42.188 (51.890)	Prec@5 76.562 (81.336)
Epoch: [69][680/14090]	Time 0.725 (0.772)	Data 0.001 (0.009)	Loss 2.0661 (1.8445)	Prec@1 45.312 (51.864)	Prec@5 80.469 (81.325)
Epoch: [69][690/14090]	Time 0.732 (0.772)	Data 0.001 (0.009)	Loss 1.7453 (1.8450)	Prec@1 48.438 (51.854)	Prec@5 84.375 (81.308)
Epoch: [69][700/14090]	Time 0.767 (0.772)	Data 0.001 (0.009)	Loss 1.9611 (1.8467)	Prec@1 47.656 (51.826)	Prec@5 78.906 (81.269)
Epoch: [69][710/14090]	Time 0.748 (0.772)	Data 0.001 (0.009)	Loss 1.9919 (1.8470)	Prec@1 46.875 (51.836)	Prec@5 81.250 (81.275)
Epoch: [69][720/14090]	Time 0.730 (0.772)	Data 0.001 (0.009)	Loss 1.9846 (1.8461)	Prec@1 46.875 (51.857)	Prec@5 80.469 (81.290)
Epoch: [69][730/14090]	Time 0.754 (0.772)	Data 0.001 (0.009)	Loss 1.7290 (1.8457)	Prec@1 57.031 (51.864)	Prec@5 83.594 (81.286)
Epoch: [69][740/14090]	Time 0.866 (0.771)	Data 0.001 (0.009)	Loss 1.8013 (1.8462)	Prec@1 54.688 (51.855)	Prec@5 79.688 (81.275)
Epoch: [69][750/14090]	Time 0.765 (0.771)	Data 0.001 (0.009)	Loss 1.8900 (1.8455)	Prec@1 54.688 (51.896)	Prec@5 83.594 (81.302)
Epoch: [69][760/14090]	Time 0.741 (0.771)	Data 0.001 (0.008)	Loss 1.8045 (1.8443)	Prec@1 52.344 (51.900)	Prec@5 82.812 (81.328)
Epoch: [69][770/14090]	Time 0.735 (0.771)	Data 0.001 (0.008)	Loss 2.1045 (1.8447)	Prec@1 47.656 (51.882)	Prec@5 75.781 (81.319)
Epoch: [69][780/14090]	Time 0.752 (0.771)	Data 0.001 (0.008)	Loss 1.6227 (1.8447)	Prec@1 60.938 (51.894)	Prec@5 85.156 (81.322)
Epoch: [69][790/14090]	Time 0.754 (0.771)	Data 0.001 (0.008)	Loss 1.8959 (1.8451)	Prec@1 51.562 (51.891)	Prec@5 82.812 (81.336)
Epoch: [69][800/14090]	Time 0.737 (0.771)	Data 0.001 (0.008)	Loss 1.7394 (1.8449)	Prec@1 59.375 (51.903)	Prec@5 79.688 (81.329)
Epoch: [69][810/14090]	Time 0.859 (0.770)	Data 0.001 (0.008)	Loss 1.7026 (1.8448)	Prec@1 58.594 (51.921)	Prec@5 84.375 (81.321)
Epoch: [69][820/14090]	Time 0.749 (0.770)	Data 0.001 (0.008)	Loss 1.8229 (1.8449)	Prec@1 52.344 (51.928)	Prec@5 81.250 (81.314)
Epoch: [69][830/14090]	Time 0.757 (0.770)	Data 0.001 (0.008)	Loss 1.6388 (1.8450)	Prec@1 54.688 (51.918)	Prec@5 82.031 (81.315)
Epoch: [69][840/14090]	Time 0.769 (0.770)	Data 0.001 (0.008)	Loss 1.7872 (1.8449)	Prec@1 50.781 (51.929)	Prec@5 83.594 (81.316)
Epoch: [69][850/14090]	Time 0.741 (0.770)	Data 0.001 (0.008)	Loss 1.8460 (1.8454)	Prec@1 47.656 (51.916)	Prec@5 79.688 (81.297)
Epoch: [69][860/14090]	Time 0.726 (0.770)	Data 0.001 (0.008)	Loss 1.9301 (1.8460)	Prec@1 52.344 (51.915)	Prec@5 81.250 (81.292)
Epoch: [69][870/14090]	Time 0.725 (0.770)	Data 0.001 (0.007)	Loss 1.7862 (1.8465)	Prec@1 49.219 (51.896)	Prec@5 82.031 (81.289)
Epoch: [69][880/14090]	Time 0.878 (0.770)	Data 0.001 (0.007)	Loss 1.7104 (1.8464)	Prec@1 53.906 (51.897)	Prec@5 81.250 (81.279)
Epoch: [69][890/14090]	Time 0.758 (0.770)	Data 0.001 (0.007)	Loss 1.6258 (1.8463)	Prec@1 56.250 (51.892)	Prec@5 86.719 (81.275)
Epoch: [69][900/14090]	Time 0.751 (0.770)	Data 0.001 (0.007)	Loss 2.0234 (1.8463)	Prec@1 48.438 (51.889)	Prec@5 80.469 (81.276)
Epoch: [69][910/14090]	Time 0.753 (0.770)	Data 0.001 (0.007)	Loss 1.6287 (1.8468)	Prec@1 54.688 (51.861)	Prec@5 82.812 (81.265)
Epoch: [69][920/14090]	Time 0.747 (0.770)	Data 0.001 (0.007)	Loss 1.6750 (1.8475)	Prec@1 52.344 (51.846)	Prec@5 84.375 (81.258)
Epoch: [69][930/14090]	Time 0.734 (0.770)	Data 0.001 (0.007)	Loss 1.8184 (1.8473)	Prec@1 51.562 (51.843)	Prec@5 78.906 (81.276)
Epoch: [69][940/14090]	Time 0.732 (0.770)	Data 0.001 (0.007)	Loss 1.5361 (1.8465)	Prec@1 56.250 (51.869)	Prec@5 87.500 (81.267)
Epoch: [69][950/14090]	Time 0.867 (0.770)	Data 0.001 (0.007)	Loss 1.8313 (1.8472)	Prec@1 51.562 (51.848)	Prec@5 81.250 (81.261)
Epoch: [69][960/14090]	Time 0.759 (0.770)	Data 0.001 (0.007)	Loss 2.1072 (1.8480)	Prec@1 40.625 (51.820)	Prec@5 72.656 (81.252)
Epoch: [69][970/14090]	Time 0.722 (0.770)	Data 0.001 (0.007)	Loss 2.1672 (1.8485)	Prec@1 46.875 (51.818)	Prec@5 78.125 (81.250)
Epoch: [69][980/14090]	Time 0.724 (0.769)	Data 0.001 (0.007)	Loss 2.0859 (1.8493)	Prec@1 47.656 (51.833)	Prec@5 78.125 (81.244)
Epoch: [69][990/14090]	Time 0.724 (0.769)	Data 0.001 (0.007)	Loss 1.9570 (1.8487)	Prec@1 51.562 (51.844)	Prec@5 75.000 (81.263)
Epoch: [69][1000/14090]	Time 0.755 (0.769)	Data 0.001 (0.007)	Loss 1.8397 (1.8487)	Prec@1 51.562 (51.831)	Prec@5 82.031 (81.260)
Epoch: [69][1010/14090]	Time 0.772 (0.769)	Data 0.001 (0.007)	Loss 1.9793 (1.8492)	Prec@1 51.562 (51.824)	Prec@5 81.250 (81.252)
Epoch: [69][1020/14090]	Time 0.861 (0.769)	Data 0.001 (0.007)	Loss 2.0387 (1.8494)	Prec@1 49.219 (51.799)	Prec@5 84.375 (81.248)
Epoch: [69][1030/14090]	Time 0.749 (0.769)	Data 0.001 (0.006)	Loss 1.9808 (1.8491)	Prec@1 50.000 (51.809)	Prec@5 81.250 (81.260)
Epoch: [69][1040/14090]	Time 0.729 (0.769)	Data 0.001 (0.006)	Loss 1.8913 (1.8489)	Prec@1 50.000 (51.797)	Prec@5 80.469 (81.273)
Epoch: [69][1050/14090]	Time 0.729 (0.769)	Data 0.001 (0.006)	Loss 1.8220 (1.8492)	Prec@1 53.125 (51.789)	Prec@5 80.469 (81.265)
Epoch: [69][1060/14090]	Time 0.745 (0.769)	Data 0.001 (0.006)	Loss 2.0925 (1.8493)	Prec@1 46.875 (51.785)	Prec@5 76.562 (81.272)
Epoch: [69][1070/14090]	Time 0.760 (0.769)	Data 0.001 (0.006)	Loss 1.9791 (1.8489)	Prec@1 43.750 (51.788)	Prec@5 80.469 (81.274)
Epoch: [69][1080/14090]	Time 0.733 (0.769)	Data 0.001 (0.006)	Loss 1.8167 (1.8490)	Prec@1 53.125 (51.778)	Prec@5 78.906 (81.268)
Epoch: [69][1090/14090]	Time 0.844 (0.769)	Data 0.001 (0.006)	Loss 1.8736 (1.8487)	Prec@1 49.219 (51.800)	Prec@5 78.906 (81.268)
Epoch: [69][1100/14090]	Time 0.740 (0.769)	Data 0.001 (0.006)	Loss 1.9206 (1.8487)	Prec@1 51.562 (51.808)	Prec@5 78.125 (81.262)
Epoch: [69][1110/14090]	Time 0.729 (0.768)	Data 0.001 (0.006)	Loss 1.8964 (1.8482)	Prec@1 49.219 (51.817)	Prec@5 78.906 (81.268)
Epoch: [69][1120/14090]	Time 0.778 (0.768)	Data 0.001 (0.006)	Loss 1.6621 (1.8472)	Prec@1 58.594 (51.842)	Prec@5 82.812 (81.282)
Epoch: [69][1130/14090]	Time 0.731 (0.768)	Data 0.001 (0.006)	Loss 1.6736 (1.8463)	Prec@1 57.031 (51.845)	Prec@5 81.250 (81.291)
Epoch: [69][1140/14090]	Time 0.757 (0.768)	Data 0.001 (0.006)	Loss 1.9703 (1.8456)	Prec@1 49.219 (51.851)	Prec@5 81.250 (81.317)
Epoch: [69][1150/14090]	Time 0.769 (0.768)	Data 0.001 (0.006)	Loss 1.6954 (1.8456)	Prec@1 61.719 (51.841)	Prec@5 86.719 (81.326)
Epoch: [69][1160/14090]	Time 0.881 (0.768)	Data 0.001 (0.006)	Loss 1.9942 (1.8456)	Prec@1 50.781 (51.844)	Prec@5 82.031 (81.330)
Epoch: [69][1170/14090]	Time 0.736 (0.768)	Data 0.001 (0.006)	Loss 1.7402 (1.8465)	Prec@1 53.125 (51.817)	Prec@5 82.031 (81.319)
Epoch: [69][1180/14090]	Time 0.731 (0.768)	Data 0.001 (0.006)	Loss 1.9060 (1.8463)	Prec@1 44.531 (51.820)	Prec@5 80.469 (81.324)
Epoch: [69][1190/14090]	Time 0.729 (0.768)	Data 0.001 (0.006)	Loss 1.9843 (1.8459)	Prec@1 50.781 (51.820)	Prec@5 80.469 (81.323)
Epoch: [69][1200/14090]	Time 0.754 (0.768)	Data 0.001 (0.006)	Loss 1.8391 (1.8458)	Prec@1 51.562 (51.830)	Prec@5 80.469 (81.327)
Epoch: [69][1210/14090]	Time 0.743 (0.768)	Data 0.001 (0.006)	Loss 1.7683 (1.8459)	Prec@1 54.688 (51.819)	Prec@5 82.812 (81.333)
Epoch: [69][1220/14090]	Time 0.743 (0.768)	Data 0.001 (0.006)	Loss 1.7141 (1.8461)	Prec@1 57.031 (51.808)	Prec@5 82.812 (81.325)
Epoch: [69][1230/14090]	Time 0.876 (0.768)	Data 0.001 (0.006)	Loss 1.6371 (1.8462)	Prec@1 59.375 (51.800)	Prec@5 83.594 (81.323)
Epoch: [69][1240/14090]	Time 0.800 (0.768)	Data 0.001 (0.006)	Loss 1.6359 (1.8460)	Prec@1 50.781 (51.789)	Prec@5 83.594 (81.329)
Epoch: [69][1250/14090]	Time 0.754 (0.768)	Data 0.001 (0.005)	Loss 1.8981 (1.8464)	Prec@1 53.125 (51.782)	Prec@5 79.688 (81.318)
Epoch: [69][1260/14090]	Time 0.735 (0.768)	Data 0.001 (0.005)	Loss 1.6613 (1.8460)	Prec@1 55.469 (51.784)	Prec@5 85.938 (81.327)
Epoch: [69][1270/14090]	Time 0.733 (0.768)	Data 0.001 (0.005)	Loss 1.6408 (1.8458)	Prec@1 54.688 (51.787)	Prec@5 85.938 (81.335)
Epoch: [69][1280/14090]	Time 0.727 (0.768)	Data 0.001 (0.005)	Loss 2.0584 (1.8454)	Prec@1 49.219 (51.784)	Prec@5 75.000 (81.346)
Epoch: [69][1290/14090]	Time 0.735 (0.768)	Data 0.001 (0.005)	Loss 1.8860 (1.8457)	Prec@1 50.781 (51.788)	Prec@5 84.375 (81.346)
Epoch: [69][1300/14090]	Time 0.830 (0.768)	Data 0.001 (0.005)	Loss 1.9332 (1.8455)	Prec@1 50.000 (51.785)	Prec@5 77.344 (81.347)
Epoch: [69][1310/14090]	Time 0.727 (0.768)	Data 0.001 (0.005)	Loss 1.4715 (1.8451)	Prec@1 60.938 (51.794)	Prec@5 89.062 (81.357)
Epoch: [69][1320/14090]	Time 0.734 (0.767)	Data 0.002 (0.005)	Loss 1.9337 (1.8450)	Prec@1 50.000 (51.793)	Prec@5 78.906 (81.355)
Epoch: [69][1330/14090]	Time 0.742 (0.768)	Data 0.001 (0.005)	Loss 1.7683 (1.8448)	Prec@1 48.438 (51.790)	Prec@5 85.156 (81.361)
Epoch: [69][1340/14090]	Time 0.768 (0.767)	Data 0.001 (0.005)	Loss 1.8090 (1.8453)	Prec@1 50.781 (51.777)	Prec@5 81.250 (81.348)
Epoch: [69][1350/14090]	Time 0.745 (0.767)	Data 0.001 (0.005)	Loss 1.9181 (1.8456)	Prec@1 50.000 (51.781)	Prec@5 82.812 (81.347)
Epoch: [69][1360/14090]	Time 0.750 (0.767)	Data 0.001 (0.005)	Loss 2.0213 (1.8448)	Prec@1 51.562 (51.794)	Prec@5 77.344 (81.360)
Epoch: [69][1370/14090]	Time 0.868 (0.767)	Data 0.001 (0.005)	Loss 1.6938 (1.8442)	Prec@1 54.688 (51.807)	Prec@5 80.469 (81.368)
Epoch: [69][1380/14090]	Time 0.767 (0.767)	Data 0.001 (0.005)	Loss 1.6630 (1.8439)	Prec@1 57.812 (51.815)	Prec@5 86.719 (81.372)
Epoch: [69][1390/14090]	Time 0.760 (0.767)	Data 0.001 (0.005)	Loss 1.6268 (1.8437)	Prec@1 53.906 (51.817)	Prec@5 83.594 (81.376)
Epoch: [69][1400/14090]	Time 0.759 (0.767)	Data 0.001 (0.005)	Loss 1.8120 (1.8429)	Prec@1 53.125 (51.826)	Prec@5 81.250 (81.387)
Epoch: [69][1410/14090]	Time 0.742 (0.767)	Data 0.001 (0.005)	Loss 1.8580 (1.8431)	Prec@1 53.906 (51.829)	Prec@5 81.250 (81.383)
Epoch: [69][1420/14090]	Time 0.751 (0.767)	Data 0.001 (0.005)	Loss 1.9933 (1.8433)	Prec@1 47.656 (51.827)	Prec@5 80.469 (81.386)
Epoch: [69][1430/14090]	Time 0.776 (0.767)	Data 0.001 (0.005)	Loss 1.7942 (1.8429)	Prec@1 54.688 (51.843)	Prec@5 78.906 (81.389)
Epoch: [69][1440/14090]	Time 0.861 (0.767)	Data 0.001 (0.005)	Loss 1.6464 (1.8427)	Prec@1 53.906 (51.838)	Prec@5 83.594 (81.403)
Epoch: [69][1450/14090]	Time 0.740 (0.767)	Data 0.001 (0.005)	Loss 1.8783 (1.8427)	Prec@1 47.656 (51.842)	Prec@5 79.688 (81.392)
Epoch: [69][1460/14090]	Time 0.766 (0.767)	Data 0.001 (0.005)	Loss 2.0269 (1.8427)	Prec@1 52.344 (51.846)	Prec@5 75.781 (81.387)
Epoch: [69][1470/14090]	Time 0.738 (0.767)	Data 0.001 (0.005)	Loss 1.6514 (1.8419)	Prec@1 53.125 (51.866)	Prec@5 83.594 (81.406)
Epoch: [69][1480/14090]	Time 0.756 (0.767)	Data 0.001 (0.005)	Loss 1.7948 (1.8420)	Prec@1 50.781 (51.868)	Prec@5 81.250 (81.411)
Epoch: [69][1490/14090]	Time 0.745 (0.767)	Data 0.001 (0.005)	Loss 2.0204 (1.8423)	Prec@1 50.000 (51.859)	Prec@5 78.906 (81.405)
Epoch: [69][1500/14090]	Time 0.745 (0.767)	Data 0.001 (0.005)	Loss 1.7010 (1.8421)	Prec@1 54.688 (51.865)	Prec@5 84.375 (81.405)
Epoch: [69][1510/14090]	Time 0.843 (0.767)	Data 0.001 (0.005)	Loss 1.8534 (1.8423)	Prec@1 52.344 (51.860)	Prec@5 78.906 (81.388)
Epoch: [69][1520/14090]	Time 0.732 (0.767)	Data 0.001 (0.005)	Loss 1.7610 (1.8424)	Prec@1 55.469 (51.872)	Prec@5 84.375 (81.391)
Epoch: [69][1530/14090]	Time 0.766 (0.767)	Data 0.001 (0.005)	Loss 1.9974 (1.8420)	Prec@1 41.406 (51.872)	Prec@5 77.344 (81.393)
Epoch: [69][1540/14090]	Time 0.742 (0.767)	Data 0.001 (0.005)	Loss 1.8435 (1.8419)	Prec@1 47.656 (51.874)	Prec@5 83.594 (81.396)
Epoch: [69][1550/14090]	Time 0.763 (0.767)	Data 0.001 (0.005)	Loss 1.7754 (1.8418)	Prec@1 55.469 (51.883)	Prec@5 81.250 (81.395)
Epoch: [69][1560/14090]	Time 0.747 (0.767)	Data 0.001 (0.005)	Loss 1.7814 (1.8418)	Prec@1 53.125 (51.887)	Prec@5 85.156 (81.396)
Epoch: [69][1570/14090]	Time 0.746 (0.767)	Data 0.001 (0.005)	Loss 2.0230 (1.8418)	Prec@1 51.562 (51.892)	Prec@5 78.906 (81.397)
Epoch: [69][1580/14090]	Time 0.839 (0.767)	Data 0.001 (0.005)	Loss 1.7699 (1.8422)	Prec@1 50.781 (51.887)	Prec@5 87.500 (81.393)
Epoch: [69][1590/14090]	Time 0.731 (0.767)	Data 0.001 (0.004)	Loss 2.1548 (1.8424)	Prec@1 49.219 (51.891)	Prec@5 75.781 (81.387)
Epoch: [69][1600/14090]	Time 0.775 (0.767)	Data 0.001 (0.004)	Loss 2.2775 (1.8429)	Prec@1 41.406 (51.886)	Prec@5 76.562 (81.379)
Epoch: [69][1610/14090]	Time 0.746 (0.767)	Data 0.001 (0.004)	Loss 1.6138 (1.8429)	Prec@1 52.344 (51.878)	Prec@5 84.375 (81.380)
Epoch: [69][1620/14090]	Time 0.752 (0.767)	Data 0.001 (0.004)	Loss 1.8474 (1.8432)	Prec@1 53.125 (51.871)	Prec@5 77.344 (81.370)
Epoch: [69][1630/14090]	Time 0.732 (0.767)	Data 0.001 (0.004)	Loss 1.8842 (1.8432)	Prec@1 55.469 (51.875)	Prec@5 78.906 (81.370)
Epoch: [69][1640/14090]	Time 0.749 (0.767)	Data 0.001 (0.004)	Loss 1.7606 (1.8428)	Prec@1 52.344 (51.888)	Prec@5 85.156 (81.379)
Epoch: [69][1650/14090]	Time 0.895 (0.767)	Data 0.001 (0.004)	Loss 1.8409 (1.8430)	Prec@1 49.219 (51.884)	Prec@5 84.375 (81.376)
Epoch: [69][1660/14090]	Time 0.729 (0.767)	Data 0.001 (0.004)	Loss 1.9634 (1.8427)	Prec@1 50.000 (51.888)	Prec@5 76.562 (81.376)
Epoch: [69][1670/14090]	Time 0.743 (0.767)	Data 0.002 (0.004)	Loss 1.9410 (1.8428)	Prec@1 48.438 (51.888)	Prec@5 79.688 (81.372)
Epoch: [69][1680/14090]	Time 0.755 (0.767)	Data 0.001 (0.004)	Loss 1.8024 (1.8426)	Prec@1 51.562 (51.911)	Prec@5 82.031 (81.371)
Epoch: [69][1690/14090]	Time 0.792 (0.767)	Data 0.001 (0.004)	Loss 2.1568 (1.8429)	Prec@1 45.312 (51.899)	Prec@5 71.875 (81.366)
Epoch: [69][1700/14090]	Time 0.731 (0.767)	Data 0.001 (0.004)	Loss 1.8707 (1.8424)	Prec@1 52.344 (51.911)	Prec@5 79.688 (81.370)
Epoch: [69][1710/14090]	Time 0.771 (0.767)	Data 0.001 (0.004)	Loss 1.9597 (1.8428)	Prec@1 55.469 (51.901)	Prec@5 77.344 (81.360)
Epoch: [69][1720/14090]	Time 0.912 (0.767)	Data 0.002 (0.004)	Loss 1.8008 (1.8427)	Prec@1 51.562 (51.894)	Prec@5 79.688 (81.360)
Epoch: [69][1730/14090]	Time 0.765 (0.767)	Data 0.001 (0.004)	Loss 1.6351 (1.8429)	Prec@1 64.062 (51.893)	Prec@5 82.812 (81.359)
Epoch: [69][1740/14090]	Time 0.754 (0.767)	Data 0.002 (0.004)	Loss 1.8828 (1.8431)	Prec@1 52.344 (51.888)	Prec@5 78.906 (81.358)
Epoch: [69][1750/14090]	Time 0.763 (0.767)	Data 0.001 (0.004)	Loss 1.5168 (1.8432)	Prec@1 54.688 (51.885)	Prec@5 88.281 (81.358)
Epoch: [69][1760/14090]	Time 0.750 (0.767)	Data 0.001 (0.004)	Loss 1.8097 (1.8434)	Prec@1 55.469 (51.878)	Prec@5 81.250 (81.356)
Epoch: [69][1770/14090]	Time 0.739 (0.767)	Data 0.001 (0.004)	Loss 2.0302 (1.8436)	Prec@1 51.562 (51.880)	Prec@5 75.000 (81.351)
Epoch: [69][1780/14090]	Time 0.742 (0.767)	Data 0.001 (0.004)	Loss 1.8983 (1.8436)	Prec@1 48.438 (51.881)	Prec@5 78.906 (81.360)
Epoch: [69][1790/14090]	Time 0.853 (0.767)	Data 0.001 (0.004)	Loss 1.7347 (1.8437)	Prec@1 53.906 (51.883)	Prec@5 82.031 (81.363)
Epoch: [69][1800/14090]	Time 0.765 (0.767)	Data 0.001 (0.004)	Loss 1.6728 (1.8435)	Prec@1 54.688 (51.884)	Prec@5 86.719 (81.368)
Epoch: [69][1810/14090]	Time 0.784 (0.767)	Data 0.001 (0.004)	Loss 1.6650 (1.8435)	Prec@1 60.156 (51.883)	Prec@5 82.812 (81.371)
Epoch: [69][1820/14090]	Time 0.734 (0.767)	Data 0.001 (0.004)	Loss 1.7745 (1.8430)	Prec@1 53.906 (51.898)	Prec@5 79.688 (81.382)
Epoch: [69][1830/14090]	Time 0.740 (0.767)	Data 0.001 (0.004)	Loss 1.8349 (1.8430)	Prec@1 50.781 (51.897)	Prec@5 80.469 (81.378)
Epoch: [69][1840/14090]	Time 0.744 (0.767)	Data 0.001 (0.004)	Loss 1.8580 (1.8433)	Prec@1 55.469 (51.884)	Prec@5 82.812 (81.374)
Epoch: [69][1850/14090]	Time 0.734 (0.767)	Data 0.001 (0.004)	Loss 2.0092 (1.8437)	Prec@1 46.094 (51.872)	Prec@5 81.250 (81.372)
Epoch: [69][1860/14090]	Time 0.893 (0.767)	Data 0.001 (0.004)	Loss 1.9245 (1.8437)	Prec@1 54.688 (51.877)	Prec@5 78.125 (81.371)
Epoch: [69][1870/14090]	Time 0.772 (0.767)	Data 0.001 (0.004)	Loss 1.9742 (1.8439)	Prec@1 49.219 (51.866)	Prec@5 79.688 (81.365)
Epoch: [69][1880/14090]	Time 0.757 (0.766)	Data 0.001 (0.004)	Loss 1.8759 (1.8439)	Prec@1 48.438 (51.874)	Prec@5 81.250 (81.363)
Epoch: [69][1890/14090]	Time 0.748 (0.767)	Data 0.001 (0.004)	Loss 1.8969 (1.8441)	Prec@1 53.125 (51.865)	Prec@5 79.688 (81.359)
Epoch: [69][1900/14090]	Time 0.732 (0.767)	Data 0.001 (0.004)	Loss 1.7596 (1.8445)	Prec@1 46.875 (51.848)	Prec@5 84.375 (81.351)
Epoch: [69][1910/14090]	Time 0.748 (0.767)	Data 0.001 (0.004)	Loss 1.8999 (1.8439)	Prec@1 49.219 (51.861)	Prec@5 78.906 (81.363)
Epoch: [69][1920/14090]	Time 0.729 (0.767)	Data 0.001 (0.004)	Loss 1.7082 (1.8439)	Prec@1 54.688 (51.866)	Prec@5 83.594 (81.364)
Epoch: [69][1930/14090]	Time 0.845 (0.767)	Data 0.001 (0.004)	Loss 1.9973 (1.8439)	Prec@1 49.219 (51.863)	Prec@5 79.688 (81.369)
Epoch: [69][1940/14090]	Time 0.752 (0.766)	Data 0.001 (0.004)	Loss 1.6031 (1.8438)	Prec@1 53.125 (51.855)	Prec@5 84.375 (81.372)
Epoch: [69][1950/14090]	Time 0.742 (0.766)	Data 0.001 (0.004)	Loss 1.8404 (1.8437)	Prec@1 46.875 (51.860)	Prec@5 85.156 (81.376)
Epoch: [69][1960/14090]	Time 0.739 (0.767)	Data 0.001 (0.004)	Loss 1.8820 (1.8437)	Prec@1 53.125 (51.854)	Prec@5 78.125 (81.376)
Epoch: [69][1970/14090]	Time 0.726 (0.766)	Data 0.001 (0.004)	Loss 1.8878 (1.8438)	Prec@1 46.875 (51.841)	Prec@5 83.594 (81.379)
Epoch: [69][1980/14090]	Time 0.738 (0.766)	Data 0.001 (0.004)	Loss 1.6795 (1.8437)	Prec@1 57.031 (51.843)	Prec@5 82.812 (81.379)
Epoch: [69][1990/14090]	Time 0.725 (0.766)	Data 0.001 (0.004)	Loss 1.7527 (1.8440)	Prec@1 45.312 (51.831)	Prec@5 84.375 (81.371)
Epoch: [69][2000/14090]	Time 0.871 (0.766)	Data 0.001 (0.004)	Loss 1.8919 (1.8437)	Prec@1 49.219 (51.839)	Prec@5 79.688 (81.368)
Epoch: [69][2010/14090]	Time 0.756 (0.766)	Data 0.001 (0.004)	Loss 1.7960 (1.8435)	Prec@1 50.000 (51.847)	Prec@5 82.031 (81.372)
Epoch: [69][2020/14090]	Time 0.736 (0.766)	Data 0.001 (0.004)	Loss 1.6537 (1.8435)	Prec@1 55.469 (51.845)	Prec@5 86.719 (81.371)
Epoch: [69][2030/14090]	Time 0.723 (0.766)	Data 0.001 (0.004)	Loss 1.7879 (1.8437)	Prec@1 59.375 (51.847)	Prec@5 79.688 (81.365)
Epoch: [69][2040/14090]	Time 0.738 (0.766)	Data 0.001 (0.004)	Loss 1.9301 (1.8434)	Prec@1 53.906 (51.855)	Prec@5 79.688 (81.372)
Epoch: [69][2050/14090]	Time 0.760 (0.766)	Data 0.001 (0.004)	Loss 1.7279 (1.8433)	Prec@1 55.469 (51.863)	Prec@5 85.156 (81.371)
Epoch: [69][2060/14090]	Time 0.722 (0.766)	Data 0.001 (0.004)	Loss 1.8810 (1.8436)	Prec@1 54.688 (51.865)	Prec@5 82.812 (81.366)
Epoch: [69][2070/14090]	Time 0.857 (0.766)	Data 0.001 (0.004)	Loss 1.8559 (1.8437)	Prec@1 60.156 (51.863)	Prec@5 81.250 (81.359)
Epoch: [69][2080/14090]	Time 0.768 (0.766)	Data 0.001 (0.004)	Loss 2.0775 (1.8438)	Prec@1 50.000 (51.856)	Prec@5 78.906 (81.369)
Epoch: [69][2090/14090]	Time 0.757 (0.766)	Data 0.001 (0.004)	Loss 1.8219 (1.8434)	Prec@1 53.125 (51.859)	Prec@5 82.812 (81.375)
Epoch: [69][2100/14090]	Time 0.753 (0.766)	Data 0.001 (0.004)	Loss 1.9514 (1.8435)	Prec@1 46.094 (51.854)	Prec@5 77.344 (81.373)
Epoch: [69][2110/14090]	Time 0.753 (0.766)	Data 0.001 (0.004)	Loss 1.7413 (1.8434)	Prec@1 57.031 (51.864)	Prec@5 84.375 (81.374)
Epoch: [69][2120/14090]	Time 0.734 (0.766)	Data 0.001 (0.004)	Loss 1.7998 (1.8432)	Prec@1 54.688 (51.873)	Prec@5 78.906 (81.380)
Epoch: [69][2130/14090]	Time 0.740 (0.766)	Data 0.001 (0.004)	Loss 1.9490 (1.8433)	Prec@1 47.656 (51.867)	Prec@5 80.469 (81.381)
Epoch: [69][2140/14090]	Time 0.920 (0.766)	Data 0.002 (0.004)	Loss 1.6407 (1.8432)	Prec@1 52.344 (51.872)	Prec@5 83.594 (81.381)
Epoch: [69][2150/14090]	Time 0.752 (0.766)	Data 0.001 (0.004)	Loss 1.7427 (1.8434)	Prec@1 52.344 (51.860)	Prec@5 81.250 (81.381)
Epoch: [69][2160/14090]	Time 0.725 (0.766)	Data 0.001 (0.004)	Loss 2.0792 (1.8435)	Prec@1 42.188 (51.856)	Prec@5 79.688 (81.374)
Epoch: [69][2170/14090]	Time 0.769 (0.766)	Data 0.001 (0.004)	Loss 1.9874 (1.8435)	Prec@1 47.656 (51.858)	Prec@5 78.906 (81.379)
Epoch: [69][2180/14090]	Time 0.747 (0.766)	Data 0.001 (0.004)	Loss 1.8935 (1.8439)	Prec@1 52.344 (51.856)	Prec@5 82.031 (81.370)
Epoch: [69][2190/14090]	Time 0.728 (0.766)	Data 0.001 (0.003)	Loss 1.9554 (1.8437)	Prec@1 50.000 (51.856)	Prec@5 81.250 (81.374)
Epoch: [69][2200/14090]	Time 0.768 (0.766)	Data 0.001 (0.003)	Loss 1.8848 (1.8437)	Prec@1 50.781 (51.860)	Prec@5 82.031 (81.376)
Epoch: [69][2210/14090]	Time 0.862 (0.766)	Data 0.001 (0.003)	Loss 1.9495 (1.8437)	Prec@1 46.094 (51.857)	Prec@5 79.688 (81.374)
Epoch: [69][2220/14090]	Time 0.740 (0.766)	Data 0.001 (0.003)	Loss 2.2276 (1.8437)	Prec@1 50.781 (51.862)	Prec@5 72.656 (81.375)
Epoch: [69][2230/14090]	Time 0.733 (0.766)	Data 0.001 (0.003)	Loss 1.8192 (1.8438)	Prec@1 50.781 (51.857)	Prec@5 82.812 (81.369)
Epoch: [69][2240/14090]	Time 0.727 (0.766)	Data 0.001 (0.003)	Loss 1.8005 (1.8437)	Prec@1 50.781 (51.855)	Prec@5 82.031 (81.371)
Epoch: [69][2250/14090]	Time 0.775 (0.766)	Data 0.001 (0.003)	Loss 2.0930 (1.8438)	Prec@1 50.781 (51.861)	Prec@5 76.562 (81.367)
Epoch: [69][2260/14090]	Time 0.728 (0.766)	Data 0.001 (0.003)	Loss 1.8725 (1.8440)	Prec@1 52.344 (51.849)	Prec@5 81.250 (81.364)
Epoch: [69][2270/14090]	Time 0.721 (0.766)	Data 0.001 (0.003)	Loss 1.7551 (1.8441)	Prec@1 61.719 (51.849)	Prec@5 81.250 (81.367)
Epoch: [69][2280/14090]	Time 0.868 (0.766)	Data 0.001 (0.003)	Loss 1.6362 (1.8443)	Prec@1 60.156 (51.848)	Prec@5 86.719 (81.360)
Epoch: [69][2290/14090]	Time 0.753 (0.766)	Data 0.002 (0.003)	Loss 1.8543 (1.8443)	Prec@1 53.906 (51.850)	Prec@5 81.250 (81.359)
Epoch: [69][2300/14090]	Time 0.743 (0.766)	Data 0.001 (0.003)	Loss 1.9387 (1.8442)	Prec@1 50.000 (51.855)	Prec@5 82.812 (81.360)
Epoch: [69][2310/14090]	Time 0.723 (0.766)	Data 0.001 (0.003)	Loss 1.9871 (1.8440)	Prec@1 56.250 (51.864)	Prec@5 76.562 (81.364)
Epoch: [69][2320/14090]	Time 0.738 (0.766)	Data 0.001 (0.003)	Loss 1.9534 (1.8442)	Prec@1 49.219 (51.849)	Prec@5 82.031 (81.363)
Epoch: [69][2330/14090]	Time 0.730 (0.766)	Data 0.001 (0.003)	Loss 1.9298 (1.8441)	Prec@1 54.688 (51.846)	Prec@5 80.469 (81.369)
Epoch: [69][2340/14090]	Time 0.734 (0.766)	Data 0.001 (0.003)	Loss 2.0595 (1.8440)	Prec@1 45.312 (51.848)	Prec@5 77.344 (81.371)
Epoch: [69][2350/14090]	Time 0.865 (0.766)	Data 0.001 (0.003)	Loss 1.9467 (1.8440)	Prec@1 47.656 (51.848)	Prec@5 82.812 (81.368)
Epoch: [69][2360/14090]	Time 0.745 (0.766)	Data 0.001 (0.003)	Loss 1.8029 (1.8439)	Prec@1 47.656 (51.843)	Prec@5 87.500 (81.373)
Epoch: [69][2370/14090]	Time 0.749 (0.766)	Data 0.001 (0.003)	Loss 1.8202 (1.8441)	Prec@1 53.125 (51.844)	Prec@5 81.250 (81.370)
Epoch: [69][2380/14090]	Time 0.736 (0.766)	Data 0.001 (0.003)	Loss 1.7238 (1.8440)	Prec@1 55.469 (51.846)	Prec@5 85.156 (81.373)
Epoch: [69][2390/14090]	Time 0.740 (0.766)	Data 0.001 (0.003)	Loss 2.1701 (1.8442)	Prec@1 44.531 (51.832)	Prec@5 77.344 (81.374)
Epoch: [69][2400/14090]	Time 0.758 (0.766)	Data 0.001 (0.003)	Loss 1.9362 (1.8443)	Prec@1 50.000 (51.827)	Prec@5 82.031 (81.372)
Epoch: [69][2410/14090]	Time 0.778 (0.766)	Data 0.001 (0.003)	Loss 1.9864 (1.8443)	Prec@1 49.219 (51.828)	Prec@5 81.250 (81.375)
Epoch: [69][2420/14090]	Time 0.877 (0.766)	Data 0.001 (0.003)	Loss 1.9105 (1.8442)	Prec@1 51.562 (51.831)	Prec@5 75.781 (81.371)
Epoch: [69][2430/14090]	Time 0.729 (0.766)	Data 0.001 (0.003)	Loss 1.5568 (1.8441)	Prec@1 54.688 (51.832)	Prec@5 86.719 (81.369)
Epoch: [69][2440/14090]	Time 0.743 (0.766)	Data 0.001 (0.003)	Loss 1.6867 (1.8443)	Prec@1 57.031 (51.836)	Prec@5 84.375 (81.367)
Epoch: [69][2450/14090]	Time 0.720 (0.766)	Data 0.001 (0.003)	Loss 1.7746 (1.8442)	Prec@1 50.000 (51.833)	Prec@5 80.469 (81.370)
Epoch: [69][2460/14090]	Time 0.722 (0.766)	Data 0.001 (0.003)	Loss 1.6875 (1.8443)	Prec@1 53.906 (51.829)	Prec@5 85.156 (81.374)
Epoch: [69][2470/14090]	Time 0.720 (0.766)	Data 0.001 (0.003)	Loss 1.9793 (1.8444)	Prec@1 46.094 (51.821)	Prec@5 82.031 (81.378)
Epoch: [69][2480/14090]	Time 0.739 (0.766)	Data 0.001 (0.003)	Loss 2.0624 (1.8442)	Prec@1 50.000 (51.830)	Prec@5 79.688 (81.381)
Epoch: [69][2490/14090]	Time 0.872 (0.766)	Data 0.001 (0.003)	Loss 2.0171 (1.8440)	Prec@1 50.000 (51.837)	Prec@5 79.688 (81.386)
Epoch: [69][2500/14090]	Time 0.737 (0.766)	Data 0.001 (0.003)	Loss 1.6879 (1.8439)	Prec@1 53.906 (51.840)	Prec@5 85.156 (81.388)
Epoch: [69][2510/14090]	Time 0.726 (0.765)	Data 0.001 (0.003)	Loss 1.6944 (1.8437)	Prec@1 53.125 (51.847)	Prec@5 78.125 (81.391)
Epoch: [69][2520/14090]	Time 0.757 (0.766)	Data 0.001 (0.003)	Loss 1.8492 (1.8438)	Prec@1 53.906 (51.840)	Prec@5 80.469 (81.392)
Epoch: [69][2530/14090]	Time 0.744 (0.765)	Data 0.001 (0.003)	Loss 1.6232 (1.8435)	Prec@1 59.375 (51.851)	Prec@5 84.375 (81.392)
Epoch: [69][2540/14090]	Time 0.757 (0.765)	Data 0.001 (0.003)	Loss 1.8291 (1.8437)	Prec@1 53.906 (51.844)	Prec@5 78.125 (81.391)
Epoch: [69][2550/14090]	Time 0.753 (0.765)	Data 0.001 (0.003)	Loss 2.0370 (1.8435)	Prec@1 47.656 (51.843)	Prec@5 78.906 (81.400)
Epoch: [69][2560/14090]	Time 0.909 (0.765)	Data 0.001 (0.003)	Loss 1.7044 (1.8433)	Prec@1 55.469 (51.851)	Prec@5 84.375 (81.401)
Epoch: [69][2570/14090]	Time 0.727 (0.765)	Data 0.001 (0.003)	Loss 1.8720 (1.8434)	Prec@1 49.219 (51.850)	Prec@5 82.812 (81.400)
Epoch: [69][2580/14090]	Time 0.748 (0.765)	Data 0.001 (0.003)	Loss 1.8992 (1.8437)	Prec@1 49.219 (51.836)	Prec@5 83.594 (81.397)
Epoch: [69][2590/14090]	Time 0.747 (0.765)	Data 0.001 (0.003)	Loss 1.6516 (1.8438)	Prec@1 53.125 (51.833)	Prec@5 84.375 (81.396)
Epoch: [69][2600/14090]	Time 0.727 (0.765)	Data 0.001 (0.003)	Loss 1.7100 (1.8435)	Prec@1 52.344 (51.839)	Prec@5 85.938 (81.403)
Epoch: [69][2610/14090]	Time 0.753 (0.765)	Data 0.001 (0.003)	Loss 1.9652 (1.8436)	Prec@1 53.125 (51.841)	Prec@5 75.781 (81.401)
Epoch: [69][2620/14090]	Time 0.751 (0.765)	Data 0.001 (0.003)	Loss 2.0562 (1.8435)	Prec@1 45.312 (51.841)	Prec@5 77.344 (81.402)
Epoch: [69][2630/14090]	Time 0.850 (0.765)	Data 0.001 (0.003)	Loss 1.8473 (1.8440)	Prec@1 53.125 (51.835)	Prec@5 82.812 (81.392)
Epoch: [69][2640/14090]	Time 0.769 (0.765)	Data 0.001 (0.003)	Loss 1.7477 (1.8441)	Prec@1 56.250 (51.840)	Prec@5 80.469 (81.388)
Epoch: [69][2650/14090]	Time 0.751 (0.765)	Data 0.001 (0.003)	Loss 1.8533 (1.8439)	Prec@1 51.562 (51.842)	Prec@5 82.031 (81.394)
Epoch: [69][2660/14090]	Time 0.726 (0.765)	Data 0.001 (0.003)	Loss 1.7117 (1.8439)	Prec@1 58.594 (51.843)	Prec@5 78.906 (81.393)
Epoch: [69][2670/14090]	Time 0.730 (0.765)	Data 0.001 (0.003)	Loss 1.9127 (1.8441)	Prec@1 57.031 (51.839)	Prec@5 75.781 (81.387)
Epoch: [69][2680/14090]	Time 0.756 (0.765)	Data 0.001 (0.003)	Loss 2.0329 (1.8442)	Prec@1 51.562 (51.840)	Prec@5 78.906 (81.385)
Epoch: [69][2690/14090]	Time 0.754 (0.765)	Data 0.001 (0.003)	Loss 1.7672 (1.8442)	Prec@1 54.688 (51.840)	Prec@5 81.250 (81.389)
Epoch: [69][2700/14090]	Time 0.876 (0.765)	Data 0.001 (0.003)	Loss 1.7078 (1.8443)	Prec@1 51.562 (51.841)	Prec@5 82.812 (81.386)
Epoch: [69][2710/14090]	Time 0.736 (0.765)	Data 0.001 (0.003)	Loss 1.8862 (1.8445)	Prec@1 55.469 (51.835)	Prec@5 78.906 (81.386)
Epoch: [69][2720/14090]	Time 0.749 (0.765)	Data 0.001 (0.003)	Loss 1.9882 (1.8442)	Prec@1 45.312 (51.840)	Prec@5 78.906 (81.388)
Epoch: [69][2730/14090]	Time 0.754 (0.765)	Data 0.001 (0.003)	Loss 1.8906 (1.8444)	Prec@1 57.031 (51.843)	Prec@5 84.375 (81.384)
Epoch: [69][2740/14090]	Time 0.751 (0.765)	Data 0.001 (0.003)	Loss 1.5808 (1.8444)	Prec@1 55.469 (51.841)	Prec@5 87.500 (81.385)
Epoch: [69][2750/14090]	Time 0.760 (0.765)	Data 0.001 (0.003)	Loss 1.8861 (1.8447)	Prec@1 54.688 (51.834)	Prec@5 78.125 (81.378)
Epoch: [69][2760/14090]	Time 0.754 (0.765)	Data 0.001 (0.003)	Loss 1.9721 (1.8450)	Prec@1 48.438 (51.825)	Prec@5 79.688 (81.377)
Epoch: [69][2770/14090]	Time 0.835 (0.765)	Data 0.001 (0.003)	Loss 1.7305 (1.8453)	Prec@1 57.031 (51.822)	Prec@5 85.938 (81.376)
Epoch: [69][2780/14090]	Time 0.730 (0.765)	Data 0.001 (0.003)	Loss 2.0375 (1.8452)	Prec@1 50.781 (51.819)	Prec@5 81.250 (81.376)
Epoch: [69][2790/14090]	Time 0.725 (0.765)	Data 0.001 (0.003)	Loss 2.0550 (1.8452)	Prec@1 41.406 (51.817)	Prec@5 78.906 (81.377)
Epoch: [69][2800/14090]	Time 0.759 (0.765)	Data 0.001 (0.003)	Loss 2.1055 (1.8453)	Prec@1 46.875 (51.815)	Prec@5 79.688 (81.376)
Epoch: [69][2810/14090]	Time 0.735 (0.765)	Data 0.001 (0.003)	Loss 1.7093 (1.8452)	Prec@1 58.594 (51.816)	Prec@5 82.812 (81.375)
Epoch: [69][2820/14090]	Time 0.752 (0.765)	Data 0.001 (0.003)	Loss 1.8034 (1.8451)	Prec@1 52.344 (51.822)	Prec@5 81.250 (81.379)
Epoch: [69][2830/14090]	Time 0.736 (0.765)	Data 0.001 (0.003)	Loss 1.8997 (1.8451)	Prec@1 51.562 (51.823)	Prec@5 76.562 (81.377)
Epoch: [69][2840/14090]	Time 0.957 (0.765)	Data 0.001 (0.003)	Loss 1.7974 (1.8449)	Prec@1 52.344 (51.822)	Prec@5 82.812 (81.379)
Epoch: [69][2850/14090]	Time 0.724 (0.765)	Data 0.001 (0.003)	Loss 2.0276 (1.8448)	Prec@1 46.094 (51.825)	Prec@5 77.344 (81.381)
Epoch: [69][2860/14090]	Time 0.729 (0.765)	Data 0.001 (0.003)	Loss 1.8221 (1.8447)	Prec@1 53.125 (51.830)	Prec@5 83.594 (81.383)
Epoch: [69][2870/14090]	Time 0.736 (0.765)	Data 0.001 (0.003)	Loss 1.6143 (1.8445)	Prec@1 60.938 (51.832)	Prec@5 84.375 (81.388)
Epoch: [69][2880/14090]	Time 0.764 (0.765)	Data 0.001 (0.003)	Loss 1.9044 (1.8446)	Prec@1 46.094 (51.832)	Prec@5 79.688 (81.387)
Epoch: [69][2890/14090]	Time 0.733 (0.765)	Data 0.001 (0.003)	Loss 1.7277 (1.8446)	Prec@1 50.781 (51.836)	Prec@5 88.281 (81.385)
Epoch: [69][2900/14090]	Time 0.777 (0.765)	Data 0.001 (0.003)	Loss 1.8128 (1.8448)	Prec@1 51.562 (51.831)	Prec@5 83.594 (81.382)
Epoch: [69][2910/14090]	Time 0.830 (0.765)	Data 0.001 (0.003)	Loss 1.6129 (1.8446)	Prec@1 60.156 (51.836)	Prec@5 85.938 (81.385)
Epoch: [69][2920/14090]	Time 0.740 (0.765)	Data 0.001 (0.003)	Loss 1.6082 (1.8447)	Prec@1 54.688 (51.831)	Prec@5 88.281 (81.383)
Epoch: [69][2930/14090]	Time 0.738 (0.765)	Data 0.001 (0.003)	Loss 1.9909 (1.8445)	Prec@1 45.312 (51.831)	Prec@5 81.250 (81.390)
Epoch: [69][2940/14090]	Time 0.749 (0.765)	Data 0.001 (0.003)	Loss 1.7693 (1.8443)	Prec@1 58.594 (51.834)	Prec@5 78.125 (81.391)
Epoch: [69][2950/14090]	Time 0.742 (0.765)	Data 0.001 (0.003)	Loss 1.7454 (1.8442)	Prec@1 56.250 (51.832)	Prec@5 82.031 (81.390)
Epoch: [69][2960/14090]	Time 0.725 (0.765)	Data 0.001 (0.003)	Loss 1.8562 (1.8441)	Prec@1 50.781 (51.835)	Prec@5 81.250 (81.394)
Epoch: [69][2970/14090]	Time 0.750 (0.765)	Data 0.001 (0.003)	Loss 1.8734 (1.8441)	Prec@1 52.344 (51.835)	Prec@5 82.031 (81.394)
Epoch: [69][2980/14090]	Time 0.859 (0.765)	Data 0.001 (0.003)	Loss 1.9221 (1.8440)	Prec@1 50.000 (51.838)	Prec@5 78.125 (81.392)
Epoch: [69][2990/14090]	Time 0.769 (0.765)	Data 0.001 (0.003)	Loss 1.7379 (1.8440)	Prec@1 52.344 (51.841)	Prec@5 82.812 (81.391)
Epoch: [69][3000/14090]	Time 0.729 (0.765)	Data 0.001 (0.003)	Loss 2.0507 (1.8443)	Prec@1 53.125 (51.833)	Prec@5 77.344 (81.385)
Epoch: [69][3010/14090]	Time 0.758 (0.765)	Data 0.001 (0.003)	Loss 1.6980 (1.8441)	Prec@1 55.469 (51.834)	Prec@5 82.031 (81.388)
Epoch: [69][3020/14090]	Time 0.752 (0.765)	Data 0.001 (0.003)	Loss 1.7808 (1.8444)	Prec@1 59.375 (51.831)	Prec@5 82.812 (81.384)
Epoch: [69][3030/14090]	Time 0.737 (0.765)	Data 0.001 (0.003)	Loss 1.6993 (1.8444)	Prec@1 55.469 (51.834)	Prec@5 82.812 (81.380)
Epoch: [69][3040/14090]	Time 0.755 (0.765)	Data 0.001 (0.003)	Loss 2.0063 (1.8445)	Prec@1 39.844 (51.829)	Prec@5 76.562 (81.378)
Epoch: [69][3050/14090]	Time 0.865 (0.765)	Data 0.001 (0.003)	Loss 1.8836 (1.8443)	Prec@1 48.438 (51.829)	Prec@5 82.031 (81.381)
Epoch: [69][3060/14090]	Time 0.722 (0.765)	Data 0.001 (0.003)	Loss 2.0028 (1.8446)	Prec@1 49.219 (51.826)	Prec@5 77.344 (81.373)
Epoch: [69][3070/14090]	Time 0.736 (0.765)	Data 0.001 (0.003)	Loss 1.7212 (1.8447)	Prec@1 50.781 (51.829)	Prec@5 82.812 (81.369)
Epoch: [69][3080/14090]	Time 0.775 (0.765)	Data 0.001 (0.003)	Loss 1.6506 (1.8449)	Prec@1 53.125 (51.820)	Prec@5 85.156 (81.364)
Epoch: [69][3090/14090]	Time 0.740 (0.765)	Data 0.001 (0.003)	Loss 2.0198 (1.8450)	Prec@1 52.344 (51.822)	Prec@5 81.250 (81.364)
Epoch: [69][3100/14090]	Time 0.730 (0.765)	Data 0.001 (0.003)	Loss 1.8198 (1.8448)	Prec@1 53.125 (51.825)	Prec@5 81.250 (81.370)
Epoch: [69][3110/14090]	Time 0.747 (0.765)	Data 0.001 (0.003)	Loss 1.9378 (1.8450)	Prec@1 46.094 (51.818)	Prec@5 78.125 (81.366)
Epoch: [69][3120/14090]	Time 0.904 (0.765)	Data 0.001 (0.003)	Loss 2.0507 (1.8452)	Prec@1 44.531 (51.814)	Prec@5 75.781 (81.362)
Epoch: [69][3130/14090]	Time 0.740 (0.765)	Data 0.001 (0.003)	Loss 1.8434 (1.8452)	Prec@1 55.469 (51.812)	Prec@5 81.250 (81.362)
Epoch: [69][3140/14090]	Time 0.749 (0.765)	Data 0.001 (0.003)	Loss 1.7996 (1.8452)	Prec@1 53.906 (51.810)	Prec@5 78.906 (81.360)
Epoch: [69][3150/14090]	Time 0.726 (0.765)	Data 0.001 (0.003)	Loss 1.7522 (1.8453)	Prec@1 57.031 (51.808)	Prec@5 85.938 (81.362)
Epoch: [69][3160/14090]	Time 0.786 (0.765)	Data 0.002 (0.003)	Loss 1.5588 (1.8451)	Prec@1 56.250 (51.812)	Prec@5 85.938 (81.363)
Epoch: [69][3170/14090]	Time 0.742 (0.765)	Data 0.001 (0.003)	Loss 1.7912 (1.8453)	Prec@1 52.344 (51.805)	Prec@5 84.375 (81.364)
Epoch: [69][3180/14090]	Time 0.760 (0.765)	Data 0.001 (0.003)	Loss 1.7228 (1.8452)	Prec@1 52.344 (51.807)	Prec@5 80.469 (81.367)
Epoch: [69][3190/14090]	Time 0.844 (0.765)	Data 0.001 (0.003)	Loss 1.6650 (1.8451)	Prec@1 61.719 (51.813)	Prec@5 81.250 (81.368)
Epoch: [69][3200/14090]	Time 0.742 (0.765)	Data 0.001 (0.003)	Loss 1.9032 (1.8448)	Prec@1 46.875 (51.817)	Prec@5 81.250 (81.373)
Epoch: [69][3210/14090]	Time 0.769 (0.765)	Data 0.001 (0.003)	Loss 1.7860 (1.8449)	Prec@1 49.219 (51.812)	Prec@5 82.031 (81.367)
Epoch: [69][3220/14090]	Time 0.743 (0.765)	Data 0.001 (0.003)	Loss 1.9798 (1.8451)	Prec@1 51.562 (51.810)	Prec@5 79.688 (81.366)
Epoch: [69][3230/14090]	Time 0.722 (0.765)	Data 0.001 (0.003)	Loss 1.8876 (1.8454)	Prec@1 50.781 (51.803)	Prec@5 80.469 (81.359)
Epoch: [69][3240/14090]	Time 0.754 (0.765)	Data 0.001 (0.003)	Loss 2.1193 (1.8455)	Prec@1 48.438 (51.801)	Prec@5 75.000 (81.356)
Epoch: [69][3250/14090]	Time 0.772 (0.765)	Data 0.001 (0.003)	Loss 1.8779 (1.8458)	Prec@1 46.875 (51.794)	Prec@5 82.031 (81.351)
Epoch: [69][3260/14090]	Time 0.920 (0.765)	Data 0.001 (0.003)	Loss 1.9141 (1.8459)	Prec@1 50.000 (51.794)	Prec@5 80.469 (81.348)
Epoch: [69][3270/14090]	Time 0.730 (0.765)	Data 0.001 (0.003)	Loss 1.8414 (1.8457)	Prec@1 50.000 (51.796)	Prec@5 82.812 (81.352)
Epoch: [69][3280/14090]	Time 0.765 (0.765)	Data 0.001 (0.003)	Loss 1.5873 (1.8456)	Prec@1 57.812 (51.800)	Prec@5 85.938 (81.354)
Epoch: [69][3290/14090]	Time 0.772 (0.765)	Data 0.001 (0.003)	Loss 1.9390 (1.8456)	Prec@1 51.562 (51.803)	Prec@5 79.688 (81.355)
Epoch: [69][3300/14090]	Time 0.789 (0.765)	Data 0.001 (0.003)	Loss 1.8480 (1.8457)	Prec@1 53.125 (51.800)	Prec@5 79.688 (81.354)
Epoch: [69][3310/14090]	Time 0.752 (0.765)	Data 0.001 (0.003)	Loss 1.7872 (1.8457)	Prec@1 53.906 (51.797)	Prec@5 83.594 (81.356)
Epoch: [69][3320/14090]	Time 0.725 (0.765)	Data 0.001 (0.003)	Loss 1.9347 (1.8456)	Prec@1 50.781 (51.798)	Prec@5 79.688 (81.359)
Epoch: [69][3330/14090]	Time 0.816 (0.765)	Data 0.001 (0.003)	Loss 1.9188 (1.8456)	Prec@1 48.438 (51.791)	Prec@5 78.125 (81.360)
Epoch: [69][3340/14090]	Time 0.730 (0.765)	Data 0.001 (0.003)	Loss 1.9949 (1.8456)	Prec@1 46.875 (51.791)	Prec@5 77.344 (81.357)
Epoch: [69][3350/14090]	Time 0.755 (0.765)	Data 0.001 (0.003)	Loss 1.8664 (1.8455)	Prec@1 51.562 (51.797)	Prec@5 79.688 (81.360)
Epoch: [69][3360/14090]	Time 0.755 (0.765)	Data 0.001 (0.003)	Loss 1.7749 (1.8456)	Prec@1 49.219 (51.793)	Prec@5 82.812 (81.358)
Epoch: [69][3370/14090]	Time 0.744 (0.765)	Data 0.001 (0.003)	Loss 1.8255 (1.8457)	Prec@1 48.438 (51.792)	Prec@5 79.688 (81.357)
Epoch: [69][3380/14090]	Time 0.733 (0.765)	Data 0.001 (0.003)	Loss 1.7386 (1.8455)	Prec@1 53.125 (51.789)	Prec@5 81.250 (81.362)
Epoch: [69][3390/14090]	Time 0.778 (0.765)	Data 0.001 (0.003)	Loss 1.6991 (1.8454)	Prec@1 53.906 (51.791)	Prec@5 84.375 (81.360)
Epoch: [69][3400/14090]	Time 0.978 (0.765)	Data 0.001 (0.003)	Loss 1.7596 (1.8452)	Prec@1 46.875 (51.793)	Prec@5 84.375 (81.366)
Epoch: [69][3410/14090]	Time 0.733 (0.765)	Data 0.001 (0.003)	Loss 1.9190 (1.8452)	Prec@1 50.000 (51.799)	Prec@5 83.594 (81.363)
Epoch: [69][3420/14090]	Time 0.774 (0.765)	Data 0.001 (0.003)	Loss 2.0308 (1.8453)	Prec@1 50.000 (51.798)	Prec@5 76.562 (81.362)
Epoch: [69][3430/14090]	Time 0.733 (0.765)	Data 0.001 (0.003)	Loss 1.6902 (1.8451)	Prec@1 53.125 (51.797)	Prec@5 84.375 (81.364)
Epoch: [69][3440/14090]	Time 0.772 (0.765)	Data 0.001 (0.003)	Loss 1.6728 (1.8449)	Prec@1 51.562 (51.801)	Prec@5 81.250 (81.369)
Epoch: [69][3450/14090]	Time 0.725 (0.765)	Data 0.001 (0.003)	Loss 1.8206 (1.8450)	Prec@1 51.562 (51.798)	Prec@5 80.469 (81.367)
Epoch: [69][3460/14090]	Time 0.747 (0.765)	Data 0.001 (0.003)	Loss 1.4899 (1.8448)	Prec@1 60.156 (51.797)	Prec@5 83.594 (81.368)
Epoch: [69][3470/14090]	Time 0.885 (0.765)	Data 0.001 (0.003)	Loss 1.9400 (1.8448)	Prec@1 53.906 (51.802)	Prec@5 78.906 (81.367)
Epoch: [69][3480/14090]	Time 0.747 (0.765)	Data 0.001 (0.003)	Loss 1.9552 (1.8450)	Prec@1 49.219 (51.797)	Prec@5 78.125 (81.363)
Epoch: [69][3490/14090]	Time 0.739 (0.765)	Data 0.001 (0.003)	Loss 1.8748 (1.8450)	Prec@1 49.219 (51.802)	Prec@5 77.344 (81.360)
Epoch: [69][3500/14090]	Time 0.739 (0.765)	Data 0.001 (0.003)	Loss 1.5852 (1.8447)	Prec@1 59.375 (51.808)	Prec@5 89.062 (81.362)
Epoch: [69][3510/14090]	Time 0.731 (0.765)	Data 0.001 (0.003)	Loss 2.0616 (1.8448)	Prec@1 47.656 (51.805)	Prec@5 75.000 (81.362)
Epoch: [69][3520/14090]	Time 0.757 (0.765)	Data 0.001 (0.002)	Loss 1.7251 (1.8449)	Prec@1 54.688 (51.802)	Prec@5 83.594 (81.360)
Epoch: [69][3530/14090]	Time 0.766 (0.765)	Data 0.001 (0.002)	Loss 1.7688 (1.8449)	Prec@1 54.688 (51.798)	Prec@5 85.938 (81.361)
Epoch: [69][3540/14090]	Time 0.799 (0.765)	Data 0.001 (0.002)	Loss 2.1113 (1.8450)	Prec@1 47.656 (51.795)	Prec@5 79.688 (81.362)
Epoch: [69][3550/14090]	Time 0.741 (0.765)	Data 0.001 (0.002)	Loss 2.0281 (1.8451)	Prec@1 47.656 (51.796)	Prec@5 78.125 (81.361)
Epoch: [69][3560/14090]	Time 0.761 (0.765)	Data 0.001 (0.002)	Loss 2.0053 (1.8454)	Prec@1 54.688 (51.786)	Prec@5 77.344 (81.356)
Epoch: [69][3570/14090]	Time 0.777 (0.765)	Data 0.001 (0.002)	Loss 1.7358 (1.8453)	Prec@1 57.031 (51.788)	Prec@5 79.688 (81.360)
Epoch: [69][3580/14090]	Time 0.727 (0.765)	Data 0.001 (0.002)	Loss 1.8832 (1.8453)	Prec@1 47.656 (51.788)	Prec@5 82.031 (81.363)
Epoch: [69][3590/14090]	Time 0.739 (0.765)	Data 0.001 (0.002)	Loss 1.8209 (1.8451)	Prec@1 52.344 (51.791)	Prec@5 81.250 (81.368)
Epoch: [69][3600/14090]	Time 0.734 (0.765)	Data 0.001 (0.002)	Loss 2.0304 (1.8451)	Prec@1 45.312 (51.787)	Prec@5 76.562 (81.369)
Epoch: [69][3610/14090]	Time 0.917 (0.765)	Data 0.001 (0.002)	Loss 1.7785 (1.8452)	Prec@1 49.219 (51.785)	Prec@5 80.469 (81.368)
Epoch: [69][3620/14090]	Time 0.753 (0.765)	Data 0.001 (0.002)	Loss 1.7438 (1.8450)	Prec@1 51.562 (51.786)	Prec@5 81.250 (81.372)
Epoch: [69][3630/14090]	Time 0.724 (0.765)	Data 0.001 (0.002)	Loss 1.6697 (1.8452)	Prec@1 57.812 (51.782)	Prec@5 83.594 (81.370)
Epoch: [69][3640/14090]	Time 0.728 (0.765)	Data 0.001 (0.002)	Loss 1.6859 (1.8452)	Prec@1 52.344 (51.779)	Prec@5 84.375 (81.373)
Epoch: [69][3650/14090]	Time 0.774 (0.765)	Data 0.001 (0.002)	Loss 1.8216 (1.8454)	Prec@1 45.312 (51.773)	Prec@5 84.375 (81.366)
Epoch: [69][3660/14090]	Time 0.729 (0.765)	Data 0.001 (0.002)	Loss 2.1944 (1.8454)	Prec@1 43.750 (51.775)	Prec@5 75.000 (81.365)
Epoch: [69][3670/14090]	Time 0.749 (0.764)	Data 0.001 (0.002)	Loss 1.8310 (1.8454)	Prec@1 52.344 (51.777)	Prec@5 85.938 (81.365)
Epoch: [69][3680/14090]	Time 0.982 (0.765)	Data 0.001 (0.002)	Loss 1.8037 (1.8452)	Prec@1 57.812 (51.779)	Prec@5 78.125 (81.369)
Epoch: [69][3690/14090]	Time 0.748 (0.765)	Data 0.001 (0.002)	Loss 1.9527 (1.8453)	Prec@1 42.188 (51.777)	Prec@5 80.469 (81.368)
Epoch: [69][3700/14090]	Time 0.748 (0.764)	Data 0.001 (0.002)	Loss 1.7096 (1.8454)	Prec@1 55.469 (51.780)	Prec@5 85.156 (81.368)
Epoch: [69][3710/14090]	Time 0.722 (0.765)	Data 0.001 (0.002)	Loss 1.8052 (1.8455)	Prec@1 57.031 (51.777)	Prec@5 78.906 (81.369)
Epoch: [69][3720/14090]	Time 0.756 (0.765)	Data 0.001 (0.002)	Loss 1.7638 (1.8454)	Prec@1 55.469 (51.780)	Prec@5 78.125 (81.370)
Epoch: [69][3730/14090]	Time 0.748 (0.765)	Data 0.001 (0.002)	Loss 2.0055 (1.8452)	Prec@1 48.438 (51.781)	Prec@5 77.344 (81.369)
Epoch: [69][3740/14090]	Time 0.722 (0.765)	Data 0.001 (0.002)	Loss 1.9725 (1.8454)	Prec@1 45.312 (51.776)	Prec@5 82.031 (81.369)
Epoch: [69][3750/14090]	Time 0.830 (0.764)	Data 0.001 (0.002)	Loss 1.8413 (1.8450)	Prec@1 46.094 (51.784)	Prec@5 79.688 (81.373)
Epoch: [69][3760/14090]	Time 0.771 (0.764)	Data 0.001 (0.002)	Loss 1.7311 (1.8450)	Prec@1 50.781 (51.786)	Prec@5 84.375 (81.376)
Epoch: [69][3770/14090]	Time 0.737 (0.764)	Data 0.001 (0.002)	Loss 2.1535 (1.8449)	Prec@1 54.688 (51.787)	Prec@5 75.781 (81.379)
Epoch: [69][3780/14090]	Time 0.735 (0.764)	Data 0.001 (0.002)	Loss 1.6262 (1.8448)	Prec@1 57.812 (51.786)	Prec@5 85.156 (81.381)
Epoch: [69][3790/14090]	Time 0.733 (0.764)	Data 0.001 (0.002)	Loss 1.8599 (1.8449)	Prec@1 51.562 (51.786)	Prec@5 82.031 (81.379)
Epoch: [69][3800/14090]	Time 0.754 (0.764)	Data 0.001 (0.002)	Loss 1.8294 (1.8447)	Prec@1 50.781 (51.790)	Prec@5 83.594 (81.383)
Epoch: [69][3810/14090]	Time 0.761 (0.764)	Data 0.001 (0.002)	Loss 2.2007 (1.8446)	Prec@1 41.406 (51.792)	Prec@5 77.344 (81.384)
Epoch: [69][3820/14090]	Time 0.853 (0.764)	Data 0.001 (0.002)	Loss 1.8579 (1.8447)	Prec@1 50.000 (51.788)	Prec@5 79.688 (81.384)
Epoch: [69][3830/14090]	Time 0.753 (0.764)	Data 0.001 (0.002)	Loss 2.1281 (1.8449)	Prec@1 47.656 (51.789)	Prec@5 76.562 (81.380)
Epoch: [69][3840/14090]	Time 0.743 (0.764)	Data 0.001 (0.002)	Loss 1.7730 (1.8448)	Prec@1 50.000 (51.792)	Prec@5 86.719 (81.383)
Epoch: [69][3850/14090]	Time 0.728 (0.764)	Data 0.001 (0.002)	Loss 1.8883 (1.8450)	Prec@1 51.562 (51.789)	Prec@5 81.250 (81.380)
Epoch: [69][3860/14090]	Time 0.723 (0.764)	Data 0.001 (0.002)	Loss 2.0409 (1.8449)	Prec@1 43.750 (51.785)	Prec@5 81.250 (81.380)
Epoch: [69][3870/14090]	Time 0.768 (0.764)	Data 0.001 (0.002)	Loss 1.9168 (1.8449)	Prec@1 46.094 (51.788)	Prec@5 81.250 (81.381)
Epoch: [69][3880/14090]	Time 0.743 (0.764)	Data 0.001 (0.002)	Loss 1.8733 (1.8447)	Prec@1 49.219 (51.795)	Prec@5 82.031 (81.383)
Epoch: [69][3890/14090]	Time 0.863 (0.764)	Data 0.001 (0.002)	Loss 1.7624 (1.8449)	Prec@1 53.125 (51.792)	Prec@5 85.156 (81.382)
Epoch: [69][3900/14090]	Time 0.760 (0.764)	Data 0.001 (0.002)	Loss 1.9221 (1.8448)	Prec@1 51.562 (51.794)	Prec@5 75.781 (81.380)
Epoch: [69][3910/14090]	Time 0.731 (0.764)	Data 0.001 (0.002)	Loss 2.0032 (1.8449)	Prec@1 49.219 (51.796)	Prec@5 79.688 (81.379)
Epoch: [69][3920/14090]	Time 0.736 (0.764)	Data 0.001 (0.002)	Loss 1.8766 (1.8449)	Prec@1 50.000 (51.797)	Prec@5 78.906 (81.376)
Epoch: [69][3930/14090]	Time 0.740 (0.764)	Data 0.001 (0.002)	Loss 1.8645 (1.8451)	Prec@1 53.125 (51.794)	Prec@5 82.812 (81.375)
Epoch: [69][3940/14090]	Time 0.733 (0.764)	Data 0.001 (0.002)	Loss 1.8488 (1.8451)	Prec@1 51.562 (51.794)	Prec@5 82.031 (81.377)
Epoch: [69][3950/14090]	Time 0.723 (0.764)	Data 0.001 (0.002)	Loss 1.8687 (1.8452)	Prec@1 52.344 (51.788)	Prec@5 81.250 (81.380)
Epoch: [69][3960/14090]	Time 0.903 (0.764)	Data 0.001 (0.002)	Loss 1.8619 (1.8451)	Prec@1 51.562 (51.791)	Prec@5 78.125 (81.380)
Epoch: [69][3970/14090]	Time 0.733 (0.764)	Data 0.001 (0.002)	Loss 2.0258 (1.8448)	Prec@1 54.688 (51.798)	Prec@5 78.125 (81.386)
Epoch: [69][3980/14090]	Time 0.725 (0.764)	Data 0.001 (0.002)	Loss 1.9656 (1.8447)	Prec@1 50.000 (51.798)	Prec@5 77.344 (81.388)
Epoch: [69][3990/14090]	Time 0.735 (0.764)	Data 0.001 (0.002)	Loss 1.7646 (1.8447)	Prec@1 53.125 (51.801)	Prec@5 85.156 (81.388)
Epoch: [69][4000/14090]	Time 0.726 (0.764)	Data 0.001 (0.002)	Loss 1.7174 (1.8447)	Prec@1 50.781 (51.800)	Prec@5 83.594 (81.388)
Epoch: [69][4010/14090]	Time 0.758 (0.764)	Data 0.001 (0.002)	Loss 1.7879 (1.8445)	Prec@1 53.125 (51.803)	Prec@5 85.156 (81.388)
Epoch: [69][4020/14090]	Time 0.760 (0.764)	Data 0.001 (0.002)	Loss 1.9250 (1.8447)	Prec@1 50.000 (51.801)	Prec@5 80.469 (81.383)
Epoch: [69][4030/14090]	Time 0.868 (0.764)	Data 0.001 (0.002)	Loss 2.2315 (1.8447)	Prec@1 39.844 (51.799)	Prec@5 73.438 (81.381)
Epoch: [69][4040/14090]	Time 0.743 (0.764)	Data 0.001 (0.002)	Loss 1.7416 (1.8448)	Prec@1 53.906 (51.797)	Prec@5 85.938 (81.379)
Epoch: [69][4050/14090]	Time 0.775 (0.764)	Data 0.001 (0.002)	Loss 1.5896 (1.8449)	Prec@1 56.250 (51.791)	Prec@5 85.156 (81.376)
Epoch: [69][4060/14090]	Time 0.740 (0.764)	Data 0.001 (0.002)	Loss 1.6527 (1.8450)	Prec@1 54.688 (51.789)	Prec@5 84.375 (81.375)
Epoch: [69][4070/14090]	Time 0.726 (0.764)	Data 0.001 (0.002)	Loss 1.8494 (1.8450)	Prec@1 50.781 (51.793)	Prec@5 82.812 (81.376)
Epoch: [69][4080/14090]	Time 0.750 (0.764)	Data 0.001 (0.002)	Loss 1.8178 (1.8449)	Prec@1 54.688 (51.794)	Prec@5 79.688 (81.377)
Epoch: [69][4090/14090]	Time 0.720 (0.764)	Data 0.001 (0.002)	Loss 1.7032 (1.8449)	Prec@1 54.688 (51.794)	Prec@5 85.938 (81.378)
Epoch: [69][4100/14090]	Time 0.839 (0.764)	Data 0.003 (0.002)	Loss 1.9264 (1.8450)	Prec@1 50.781 (51.789)	Prec@5 82.812 (81.377)
Epoch: [69][4110/14090]	Time 0.756 (0.764)	Data 0.001 (0.002)	Loss 1.9728 (1.8451)	Prec@1 53.906 (51.786)	Prec@5 80.469 (81.377)
Epoch: [69][4120/14090]	Time 0.760 (0.764)	Data 0.001 (0.002)	Loss 1.7727 (1.8452)	Prec@1 54.688 (51.782)	Prec@5 79.688 (81.373)
Epoch: [69][4130/14090]	Time 0.740 (0.764)	Data 0.001 (0.002)	Loss 1.9043 (1.8453)	Prec@1 51.562 (51.777)	Prec@5 82.031 (81.373)
Epoch: [69][4140/14090]	Time 0.754 (0.764)	Data 0.001 (0.002)	Loss 1.8998 (1.8454)	Prec@1 49.219 (51.774)	Prec@5 79.688 (81.370)
Epoch: [69][4150/14090]	Time 0.744 (0.764)	Data 0.001 (0.002)	Loss 1.8429 (1.8455)	Prec@1 43.750 (51.768)	Prec@5 82.031 (81.371)
Epoch: [69][4160/14090]	Time 0.737 (0.764)	Data 0.001 (0.002)	Loss 2.0065 (1.8456)	Prec@1 42.969 (51.764)	Prec@5 77.344 (81.370)
Epoch: [69][4170/14090]	Time 0.823 (0.764)	Data 0.001 (0.002)	Loss 1.9859 (1.8458)	Prec@1 56.250 (51.760)	Prec@5 76.562 (81.371)
Epoch: [69][4180/14090]	Time 0.762 (0.764)	Data 0.001 (0.002)	Loss 1.7697 (1.8456)	Prec@1 57.031 (51.764)	Prec@5 80.469 (81.373)
Epoch: [69][4190/14090]	Time 0.750 (0.764)	Data 0.001 (0.002)	Loss 1.9433 (1.8455)	Prec@1 53.906 (51.767)	Prec@5 82.812 (81.374)
Epoch: [69][4200/14090]	Time 0.750 (0.764)	Data 0.001 (0.002)	Loss 1.9479 (1.8455)	Prec@1 46.094 (51.763)	Prec@5 82.812 (81.380)
Epoch: [69][4210/14090]	Time 0.735 (0.764)	Data 0.001 (0.002)	Loss 1.8910 (1.8457)	Prec@1 50.000 (51.760)	Prec@5 82.031 (81.379)
Epoch: [69][4220/14090]	Time 0.769 (0.764)	Data 0.001 (0.002)	Loss 1.9962 (1.8458)	Prec@1 46.875 (51.757)	Prec@5 74.219 (81.378)
Epoch: [69][4230/14090]	Time 0.773 (0.764)	Data 0.001 (0.002)	Loss 1.9424 (1.8458)	Prec@1 50.781 (51.755)	Prec@5 74.219 (81.377)
Epoch: [69][4240/14090]	Time 0.883 (0.764)	Data 0.001 (0.002)	Loss 2.0775 (1.8457)	Prec@1 47.656 (51.756)	Prec@5 79.688 (81.378)
Epoch: [69][4250/14090]	Time 0.736 (0.764)	Data 0.003 (0.002)	Loss 1.5579 (1.8455)	Prec@1 58.594 (51.757)	Prec@5 85.156 (81.383)
Epoch: [69][4260/14090]	Time 0.733 (0.764)	Data 0.001 (0.002)	Loss 1.9534 (1.8456)	Prec@1 46.875 (51.750)	Prec@5 80.469 (81.379)
Epoch: [69][4270/14090]	Time 0.752 (0.764)	Data 0.001 (0.002)	Loss 2.0012 (1.8459)	Prec@1 47.656 (51.743)	Prec@5 78.906 (81.375)
Epoch: [69][4280/14090]	Time 0.732 (0.764)	Data 0.001 (0.002)	Loss 1.7989 (1.8456)	Prec@1 56.250 (51.748)	Prec@5 84.375 (81.383)
Epoch: [69][4290/14090]	Time 0.752 (0.764)	Data 0.001 (0.002)	Loss 1.8438 (1.8455)	Prec@1 51.562 (51.747)	Prec@5 79.688 (81.382)
Epoch: [69][4300/14090]	Time 0.726 (0.764)	Data 0.001 (0.002)	Loss 1.6906 (1.8456)	Prec@1 53.125 (51.749)	Prec@5 82.812 (81.379)
Epoch: [69][4310/14090]	Time 0.840 (0.764)	Data 0.001 (0.002)	Loss 1.8764 (1.8454)	Prec@1 51.562 (51.752)	Prec@5 80.469 (81.382)
Epoch: [69][4320/14090]	Time 0.751 (0.764)	Data 0.001 (0.002)	Loss 1.7009 (1.8456)	Prec@1 52.344 (51.750)	Prec@5 85.938 (81.381)
Epoch: [69][4330/14090]	Time 0.768 (0.764)	Data 0.001 (0.002)	Loss 1.8771 (1.8455)	Prec@1 50.000 (51.748)	Prec@5 80.469 (81.383)
Epoch: [69][4340/14090]	Time 0.740 (0.764)	Data 0.001 (0.002)	Loss 1.8839 (1.8456)	Prec@1 51.562 (51.748)	Prec@5 82.031 (81.382)
Epoch: [69][4350/14090]	Time 0.756 (0.764)	Data 0.001 (0.002)	Loss 1.6129 (1.8455)	Prec@1 56.250 (51.748)	Prec@5 83.594 (81.384)
Epoch: [69][4360/14090]	Time 0.757 (0.764)	Data 0.001 (0.002)	Loss 1.7439 (1.8454)	Prec@1 50.781 (51.748)	Prec@5 85.156 (81.384)
Epoch: [69][4370/14090]	Time 0.765 (0.764)	Data 0.001 (0.002)	Loss 2.0404 (1.8455)	Prec@1 46.875 (51.742)	Prec@5 77.344 (81.383)
Epoch: [69][4380/14090]	Time 0.829 (0.764)	Data 0.001 (0.002)	Loss 1.7476 (1.8455)	Prec@1 57.812 (51.744)	Prec@5 80.469 (81.381)
Epoch: [69][4390/14090]	Time 0.746 (0.764)	Data 0.002 (0.002)	Loss 1.7767 (1.8452)	Prec@1 52.344 (51.750)	Prec@5 78.906 (81.387)
Epoch: [69][4400/14090]	Time 0.756 (0.764)	Data 0.001 (0.002)	Loss 1.5981 (1.8452)	Prec@1 57.812 (51.750)	Prec@5 82.031 (81.385)
Epoch: [69][4410/14090]	Time 0.737 (0.764)	Data 0.001 (0.002)	Loss 1.8482 (1.8452)	Prec@1 51.562 (51.748)	Prec@5 81.250 (81.387)
Epoch: [69][4420/14090]	Time 0.735 (0.764)	Data 0.001 (0.002)	Loss 1.8148 (1.8452)	Prec@1 56.250 (51.751)	Prec@5 81.250 (81.386)
Epoch: [69][4430/14090]	Time 0.756 (0.764)	Data 0.001 (0.002)	Loss 1.9560 (1.8452)	Prec@1 57.031 (51.754)	Prec@5 80.469 (81.384)
Epoch: [69][4440/14090]	Time 0.765 (0.764)	Data 0.001 (0.002)	Loss 1.7855 (1.8450)	Prec@1 53.125 (51.759)	Prec@5 84.375 (81.387)
Epoch: [69][4450/14090]	Time 0.839 (0.764)	Data 0.001 (0.002)	Loss 2.0498 (1.8450)	Prec@1 52.344 (51.764)	Prec@5 77.344 (81.386)
Epoch: [69][4460/14090]	Time 0.761 (0.764)	Data 0.001 (0.002)	Loss 2.0473 (1.8453)	Prec@1 47.656 (51.758)	Prec@5 80.469 (81.382)
Epoch: [69][4470/14090]	Time 0.740 (0.764)	Data 0.001 (0.002)	Loss 1.8827 (1.8452)	Prec@1 50.000 (51.762)	Prec@5 82.031 (81.383)
Epoch: [69][4480/14090]	Time 0.742 (0.764)	Data 0.001 (0.002)	Loss 1.9067 (1.8450)	Prec@1 48.438 (51.764)	Prec@5 77.344 (81.388)
Epoch: [69][4490/14090]	Time 0.734 (0.764)	Data 0.001 (0.002)	Loss 2.1158 (1.8450)	Prec@1 50.781 (51.768)	Prec@5 75.781 (81.390)
Epoch: [69][4500/14090]	Time 0.761 (0.764)	Data 0.001 (0.002)	Loss 1.9897 (1.8449)	Prec@1 49.219 (51.769)	Prec@5 79.688 (81.392)
Epoch: [69][4510/14090]	Time 0.749 (0.764)	Data 0.001 (0.002)	Loss 1.8788 (1.8449)	Prec@1 51.562 (51.764)	Prec@5 79.688 (81.390)
Epoch: [69][4520/14090]	Time 0.994 (0.764)	Data 0.001 (0.002)	Loss 1.9373 (1.8450)	Prec@1 53.906 (51.762)	Prec@5 78.125 (81.388)
Epoch: [69][4530/14090]	Time 0.721 (0.764)	Data 0.001 (0.002)	Loss 1.8703 (1.8450)	Prec@1 55.469 (51.763)	Prec@5 80.469 (81.388)
Epoch: [69][4540/14090]	Time 0.775 (0.764)	Data 0.001 (0.002)	Loss 2.1407 (1.8453)	Prec@1 46.875 (51.758)	Prec@5 74.219 (81.382)
Epoch: [69][4550/14090]	Time 0.783 (0.764)	Data 0.001 (0.002)	Loss 1.7345 (1.8453)	Prec@1 54.688 (51.757)	Prec@5 82.031 (81.382)
Epoch: [69][4560/14090]	Time 0.727 (0.764)	Data 0.001 (0.002)	Loss 1.7164 (1.8450)	Prec@1 49.219 (51.758)	Prec@5 82.031 (81.383)
Epoch: [69][4570/14090]	Time 0.759 (0.764)	Data 0.001 (0.002)	Loss 1.8687 (1.8452)	Prec@1 43.750 (51.753)	Prec@5 84.375 (81.381)
Epoch: [69][4580/14090]	Time 0.726 (0.764)	Data 0.001 (0.002)	Loss 2.0589 (1.8453)	Prec@1 46.875 (51.753)	Prec@5 78.906 (81.378)
Epoch: [69][4590/14090]	Time 0.887 (0.764)	Data 0.003 (0.002)	Loss 1.7895 (1.8451)	Prec@1 51.562 (51.758)	Prec@5 82.812 (81.381)
Epoch: [69][4600/14090]	Time 0.740 (0.764)	Data 0.001 (0.002)	Loss 1.9961 (1.8451)	Prec@1 51.562 (51.757)	Prec@5 82.812 (81.383)
Epoch: [69][4610/14090]	Time 0.778 (0.764)	Data 0.001 (0.002)	Loss 2.3038 (1.8453)	Prec@1 36.719 (51.753)	Prec@5 75.781 (81.382)
Epoch: [69][4620/14090]	Time 0.724 (0.764)	Data 0.001 (0.002)	Loss 1.8236 (1.8453)	Prec@1 53.906 (51.754)	Prec@5 81.250 (81.381)
Epoch: [69][4630/14090]	Time 0.723 (0.764)	Data 0.001 (0.002)	Loss 1.7394 (1.8453)	Prec@1 53.125 (51.752)	Prec@5 85.938 (81.383)
Epoch: [69][4640/14090]	Time 0.752 (0.764)	Data 0.001 (0.002)	Loss 1.8800 (1.8453)	Prec@1 48.438 (51.752)	Prec@5 80.469 (81.384)
Epoch: [69][4650/14090]	Time 0.767 (0.764)	Data 0.001 (0.002)	Loss 1.9179 (1.8454)	Prec@1 51.562 (51.750)	Prec@5 82.031 (81.382)
Epoch: [69][4660/14090]	Time 0.832 (0.764)	Data 0.001 (0.002)	Loss 1.8670 (1.8457)	Prec@1 54.688 (51.745)	Prec@5 82.031 (81.378)
Epoch: [69][4670/14090]	Time 0.726 (0.764)	Data 0.001 (0.002)	Loss 1.9509 (1.8459)	Prec@1 47.656 (51.740)	Prec@5 82.812 (81.375)
Epoch: [69][4680/14090]	Time 0.745 (0.764)	Data 0.001 (0.002)	Loss 2.0151 (1.8461)	Prec@1 44.531 (51.739)	Prec@5 75.781 (81.371)
Epoch: [69][4690/14090]	Time 0.746 (0.764)	Data 0.001 (0.002)	Loss 1.7177 (1.8461)	Prec@1 53.906 (51.738)	Prec@5 82.812 (81.371)
Epoch: [69][4700/14090]	Time 0.740 (0.764)	Data 0.001 (0.002)	Loss 1.9843 (1.8459)	Prec@1 47.656 (51.741)	Prec@5 77.344 (81.373)
Epoch: [69][4710/14090]	Time 0.761 (0.764)	Data 0.001 (0.002)	Loss 2.2588 (1.8459)	Prec@1 38.281 (51.740)	Prec@5 73.438 (81.372)
Epoch: [69][4720/14090]	Time 0.762 (0.764)	Data 0.001 (0.002)	Loss 1.8135 (1.8459)	Prec@1 50.000 (51.739)	Prec@5 85.156 (81.375)
Epoch: [69][4730/14090]	Time 0.854 (0.764)	Data 0.001 (0.002)	Loss 1.9266 (1.8460)	Prec@1 51.562 (51.737)	Prec@5 85.156 (81.374)
Epoch: [69][4740/14090]	Time 0.794 (0.764)	Data 0.001 (0.002)	Loss 1.8380 (1.8460)	Prec@1 50.781 (51.737)	Prec@5 82.812 (81.378)
Epoch: [69][4750/14090]	Time 0.725 (0.764)	Data 0.001 (0.002)	Loss 1.7926 (1.8459)	Prec@1 52.344 (51.738)	Prec@5 85.938 (81.380)
Epoch: [69][4760/14090]	Time 0.725 (0.764)	Data 0.001 (0.002)	Loss 1.7162 (1.8458)	Prec@1 56.250 (51.741)	Prec@5 82.812 (81.378)
Epoch: [69][4770/14090]	Time 0.729 (0.764)	Data 0.001 (0.002)	Loss 2.0556 (1.8459)	Prec@1 51.562 (51.740)	Prec@5 78.125 (81.376)
Epoch: [69][4780/14090]	Time 0.757 (0.764)	Data 0.001 (0.002)	Loss 2.0512 (1.8460)	Prec@1 51.562 (51.739)	Prec@5 74.219 (81.374)
Epoch: [69][4790/14090]	Time 0.731 (0.764)	Data 0.001 (0.002)	Loss 1.8922 (1.8461)	Prec@1 52.344 (51.738)	Prec@5 80.469 (81.371)
Epoch: [69][4800/14090]	Time 0.979 (0.764)	Data 0.001 (0.002)	Loss 1.9409 (1.8461)	Prec@1 48.438 (51.735)	Prec@5 78.906 (81.368)
Epoch: [69][4810/14090]	Time 0.734 (0.764)	Data 0.001 (0.002)	Loss 1.7455 (1.8461)	Prec@1 53.906 (51.740)	Prec@5 83.594 (81.368)
Epoch: [69][4820/14090]	Time 0.752 (0.764)	Data 0.001 (0.002)	Loss 2.0165 (1.8461)	Prec@1 53.906 (51.742)	Prec@5 75.000 (81.367)
Epoch: [69][4830/14090]	Time 0.757 (0.764)	Data 0.001 (0.002)	Loss 1.7961 (1.8461)	Prec@1 60.156 (51.742)	Prec@5 80.469 (81.366)
Epoch: [69][4840/14090]	Time 0.763 (0.764)	Data 0.001 (0.002)	Loss 1.7456 (1.8460)	Prec@1 55.469 (51.743)	Prec@5 84.375 (81.367)
Epoch: [69][4850/14090]	Time 0.726 (0.764)	Data 0.001 (0.002)	Loss 1.7410 (1.8460)	Prec@1 54.688 (51.744)	Prec@5 83.594 (81.368)
Epoch: [69][4860/14090]	Time 0.724 (0.764)	Data 0.001 (0.002)	Loss 1.6659 (1.8462)	Prec@1 53.125 (51.740)	Prec@5 84.375 (81.365)
Epoch: [69][4870/14090]	Time 0.872 (0.764)	Data 0.001 (0.002)	Loss 1.9395 (1.8462)	Prec@1 46.875 (51.736)	Prec@5 78.125 (81.363)
Epoch: [69][4880/14090]	Time 0.774 (0.764)	Data 0.001 (0.002)	Loss 1.8843 (1.8461)	Prec@1 53.125 (51.740)	Prec@5 84.375 (81.365)
Epoch: [69][4890/14090]	Time 0.746 (0.764)	Data 0.001 (0.002)	Loss 1.8317 (1.8460)	Prec@1 47.656 (51.739)	Prec@5 82.812 (81.369)
Epoch: [69][4900/14090]	Time 0.730 (0.764)	Data 0.001 (0.002)	Loss 2.0157 (1.8463)	Prec@1 52.344 (51.734)	Prec@5 82.812 (81.367)
Epoch: [69][4910/14090]	Time 0.733 (0.764)	Data 0.001 (0.002)	Loss 1.6971 (1.8464)	Prec@1 60.938 (51.736)	Prec@5 83.594 (81.366)
Epoch: [69][4920/14090]	Time 0.744 (0.764)	Data 0.001 (0.002)	Loss 1.5850 (1.8463)	Prec@1 58.594 (51.740)	Prec@5 84.375 (81.367)
Epoch: [69][4930/14090]	Time 0.758 (0.764)	Data 0.001 (0.002)	Loss 2.0085 (1.8463)	Prec@1 50.781 (51.737)	Prec@5 78.125 (81.367)
Epoch: [69][4940/14090]	Time 1.001 (0.764)	Data 0.001 (0.002)	Loss 1.7552 (1.8465)	Prec@1 48.438 (51.735)	Prec@5 82.812 (81.366)
Epoch: [69][4950/14090]	Time 0.727 (0.764)	Data 0.001 (0.002)	Loss 1.9011 (1.8466)	Prec@1 48.438 (51.732)	Prec@5 81.250 (81.365)
Epoch: [69][4960/14090]	Time 0.753 (0.764)	Data 0.001 (0.002)	Loss 1.7528 (1.8466)	Prec@1 59.375 (51.734)	Prec@5 81.250 (81.363)
Epoch: [69][4970/14090]	Time 0.741 (0.764)	Data 0.001 (0.002)	Loss 1.7396 (1.8464)	Prec@1 54.688 (51.737)	Prec@5 81.250 (81.366)
Epoch: [69][4980/14090]	Time 0.726 (0.764)	Data 0.001 (0.002)	Loss 1.6699 (1.8464)	Prec@1 59.375 (51.736)	Prec@5 79.688 (81.365)
Epoch: [69][4990/14090]	Time 0.756 (0.764)	Data 0.001 (0.002)	Loss 2.1098 (1.8465)	Prec@1 44.531 (51.733)	Prec@5 77.344 (81.363)
Epoch: [69][5000/14090]	Time 0.725 (0.764)	Data 0.001 (0.002)	Loss 1.8992 (1.8467)	Prec@1 50.781 (51.731)	Prec@5 75.000 (81.356)
Epoch: [69][5010/14090]	Time 0.817 (0.764)	Data 0.001 (0.002)	Loss 2.1549 (1.8467)	Prec@1 44.531 (51.730)	Prec@5 77.344 (81.357)
Epoch: [69][5020/14090]	Time 0.750 (0.764)	Data 0.001 (0.002)	Loss 1.5703 (1.8465)	Prec@1 56.250 (51.731)	Prec@5 83.594 (81.359)
Epoch: [69][5030/14090]	Time 0.742 (0.764)	Data 0.001 (0.002)	Loss 1.8126 (1.8466)	Prec@1 54.688 (51.733)	Prec@5 78.125 (81.355)
Epoch: [69][5040/14090]	Time 0.732 (0.764)	Data 0.001 (0.002)	Loss 1.8067 (1.8465)	Prec@1 52.344 (51.737)	Prec@5 82.031 (81.353)
Epoch: [69][5050/14090]	Time 0.740 (0.764)	Data 0.001 (0.002)	Loss 1.8526 (1.8465)	Prec@1 49.219 (51.736)	Prec@5 81.250 (81.352)
Epoch: [69][5060/14090]	Time 0.751 (0.764)	Data 0.001 (0.002)	Loss 1.8461 (1.8465)	Prec@1 51.562 (51.738)	Prec@5 81.250 (81.353)
Epoch: [69][5070/14090]	Time 0.745 (0.764)	Data 0.001 (0.002)	Loss 1.7648 (1.8464)	Prec@1 53.906 (51.738)	Prec@5 77.344 (81.355)
Epoch: [69][5080/14090]	Time 0.842 (0.764)	Data 0.001 (0.002)	Loss 1.7050 (1.8465)	Prec@1 54.688 (51.737)	Prec@5 82.031 (81.356)
Epoch: [69][5090/14090]	Time 0.758 (0.764)	Data 0.001 (0.002)	Loss 1.7448 (1.8467)	Prec@1 61.719 (51.730)	Prec@5 82.031 (81.353)
Epoch: [69][5100/14090]	Time 0.734 (0.764)	Data 0.001 (0.002)	Loss 1.8516 (1.8466)	Prec@1 53.125 (51.733)	Prec@5 82.031 (81.353)
Epoch: [69][5110/14090]	Time 0.729 (0.764)	Data 0.001 (0.002)	Loss 1.6959 (1.8466)	Prec@1 52.344 (51.734)	Prec@5 88.281 (81.355)
Epoch: [69][5120/14090]	Time 0.774 (0.764)	Data 0.001 (0.002)	Loss 1.5179 (1.8467)	Prec@1 60.156 (51.734)	Prec@5 86.719 (81.353)
Epoch: [69][5130/14090]	Time 0.735 (0.764)	Data 0.001 (0.002)	Loss 1.7342 (1.8466)	Prec@1 50.000 (51.730)	Prec@5 82.812 (81.354)
Epoch: [69][5140/14090]	Time 0.748 (0.764)	Data 0.001 (0.002)	Loss 1.9995 (1.8467)	Prec@1 48.438 (51.726)	Prec@5 77.344 (81.353)
Epoch: [69][5150/14090]	Time 0.883 (0.764)	Data 0.001 (0.002)	Loss 2.0619 (1.8467)	Prec@1 51.562 (51.725)	Prec@5 78.906 (81.351)
Epoch: [69][5160/14090]	Time 0.755 (0.764)	Data 0.001 (0.002)	Loss 2.1651 (1.8468)	Prec@1 46.875 (51.725)	Prec@5 75.000 (81.350)
Epoch: [69][5170/14090]	Time 0.741 (0.764)	Data 0.001 (0.002)	Loss 1.6914 (1.8469)	Prec@1 53.906 (51.723)	Prec@5 83.594 (81.349)
Epoch: [69][5180/14090]	Time 0.751 (0.764)	Data 0.001 (0.002)	Loss 1.9679 (1.8468)	Prec@1 52.344 (51.725)	Prec@5 81.250 (81.349)
Epoch: [69][5190/14090]	Time 0.744 (0.764)	Data 0.001 (0.002)	Loss 1.8252 (1.8468)	Prec@1 50.781 (51.725)	Prec@5 82.031 (81.349)
Epoch: [69][5200/14090]	Time 0.729 (0.764)	Data 0.001 (0.002)	Loss 1.9819 (1.8469)	Prec@1 46.875 (51.722)	Prec@5 82.031 (81.349)
Epoch: [69][5210/14090]	Time 0.757 (0.764)	Data 0.001 (0.002)	Loss 1.7756 (1.8469)	Prec@1 53.906 (51.722)	Prec@5 82.031 (81.348)
Epoch: [69][5220/14090]	Time 0.895 (0.764)	Data 0.001 (0.002)	Loss 1.9472 (1.8470)	Prec@1 53.906 (51.719)	Prec@5 78.125 (81.345)
Epoch: [69][5230/14090]	Time 0.762 (0.764)	Data 0.001 (0.002)	Loss 1.6871 (1.8469)	Prec@1 50.781 (51.720)	Prec@5 85.938 (81.346)
Epoch: [69][5240/14090]	Time 0.754 (0.764)	Data 0.001 (0.002)	Loss 1.9992 (1.8467)	Prec@1 50.781 (51.724)	Prec@5 79.688 (81.347)
Epoch: [69][5250/14090]	Time 0.732 (0.764)	Data 0.001 (0.002)	Loss 1.8306 (1.8469)	Prec@1 51.562 (51.721)	Prec@5 85.938 (81.346)
Epoch: [69][5260/14090]	Time 0.753 (0.764)	Data 0.001 (0.002)	Loss 1.8738 (1.8469)	Prec@1 51.562 (51.723)	Prec@5 78.125 (81.346)
Epoch: [69][5270/14090]	Time 0.754 (0.764)	Data 0.001 (0.002)	Loss 1.9108 (1.8469)	Prec@1 49.219 (51.725)	Prec@5 79.688 (81.346)
Epoch: [69][5280/14090]	Time 0.776 (0.764)	Data 0.001 (0.002)	Loss 1.7845 (1.8469)	Prec@1 53.125 (51.721)	Prec@5 79.688 (81.343)
Epoch: [69][5290/14090]	Time 0.857 (0.764)	Data 0.001 (0.002)	Loss 1.6159 (1.8468)	Prec@1 56.250 (51.724)	Prec@5 82.812 (81.345)
Epoch: [69][5300/14090]	Time 0.729 (0.764)	Data 0.001 (0.002)	Loss 1.9086 (1.8469)	Prec@1 53.906 (51.727)	Prec@5 80.469 (81.345)
Epoch: [69][5310/14090]	Time 0.728 (0.764)	Data 0.001 (0.002)	Loss 1.9502 (1.8468)	Prec@1 53.125 (51.729)	Prec@5 78.125 (81.343)
Epoch: [69][5320/14090]	Time 0.740 (0.764)	Data 0.001 (0.002)	Loss 1.9963 (1.8468)	Prec@1 43.750 (51.730)	Prec@5 82.812 (81.344)
Epoch: [69][5330/14090]	Time 0.739 (0.764)	Data 0.001 (0.002)	Loss 1.9066 (1.8467)	Prec@1 50.781 (51.732)	Prec@5 78.125 (81.342)
Epoch: [69][5340/14090]	Time 0.755 (0.764)	Data 0.001 (0.002)	Loss 1.7923 (1.8467)	Prec@1 52.344 (51.732)	Prec@5 83.594 (81.341)
Epoch: [69][5350/14090]	Time 0.754 (0.764)	Data 0.001 (0.002)	Loss 1.7006 (1.8467)	Prec@1 62.500 (51.733)	Prec@5 82.812 (81.342)
Epoch: [69][5360/14090]	Time 0.862 (0.764)	Data 0.001 (0.002)	Loss 1.9072 (1.8468)	Prec@1 47.656 (51.729)	Prec@5 81.250 (81.341)
Epoch: [69][5370/14090]	Time 0.736 (0.764)	Data 0.001 (0.002)	Loss 1.8352 (1.8467)	Prec@1 51.562 (51.733)	Prec@5 80.469 (81.344)
Epoch: [69][5380/14090]	Time 0.750 (0.764)	Data 0.001 (0.002)	Loss 1.9993 (1.8467)	Prec@1 50.000 (51.734)	Prec@5 78.125 (81.343)
Epoch: [69][5390/14090]	Time 0.751 (0.764)	Data 0.001 (0.002)	Loss 1.9507 (1.8467)	Prec@1 50.000 (51.736)	Prec@5 81.250 (81.342)
Epoch: [69][5400/14090]	Time 0.718 (0.764)	Data 0.001 (0.002)	Loss 1.7462 (1.8467)	Prec@1 46.094 (51.734)	Prec@5 84.375 (81.343)
Epoch: [69][5410/14090]	Time 0.767 (0.764)	Data 0.002 (0.002)	Loss 1.7965 (1.8468)	Prec@1 51.562 (51.733)	Prec@5 82.812 (81.341)
Epoch: [69][5420/14090]	Time 0.751 (0.764)	Data 0.001 (0.002)	Loss 2.2315 (1.8468)	Prec@1 47.656 (51.731)	Prec@5 75.000 (81.341)
Epoch: [69][5430/14090]	Time 0.861 (0.764)	Data 0.001 (0.002)	Loss 1.7525 (1.8468)	Prec@1 57.812 (51.730)	Prec@5 82.812 (81.341)
Epoch: [69][5440/14090]	Time 0.731 (0.764)	Data 0.001 (0.002)	Loss 1.8806 (1.8469)	Prec@1 52.344 (51.733)	Prec@5 83.594 (81.339)
Epoch: [69][5450/14090]	Time 0.755 (0.764)	Data 0.001 (0.002)	Loss 1.5809 (1.8469)	Prec@1 59.375 (51.733)	Prec@5 85.156 (81.339)
Epoch: [69][5460/14090]	Time 0.751 (0.764)	Data 0.001 (0.002)	Loss 1.9313 (1.8470)	Prec@1 49.219 (51.732)	Prec@5 82.031 (81.338)
Epoch: [69][5470/14090]	Time 0.754 (0.764)	Data 0.001 (0.002)	Loss 1.8980 (1.8470)	Prec@1 49.219 (51.731)	Prec@5 82.031 (81.339)
Epoch: [69][5480/14090]	Time 0.727 (0.764)	Data 0.001 (0.002)	Loss 1.6913 (1.8469)	Prec@1 59.375 (51.734)	Prec@5 87.500 (81.340)
Epoch: [69][5490/14090]	Time 0.744 (0.764)	Data 0.001 (0.002)	Loss 1.8922 (1.8469)	Prec@1 48.438 (51.733)	Prec@5 78.906 (81.340)
Epoch: [69][5500/14090]	Time 0.872 (0.764)	Data 0.001 (0.002)	Loss 1.8355 (1.8469)	Prec@1 53.906 (51.736)	Prec@5 82.031 (81.339)
Epoch: [69][5510/14090]	Time 0.722 (0.764)	Data 0.001 (0.002)	Loss 1.7909 (1.8469)	Prec@1 52.344 (51.734)	Prec@5 82.812 (81.339)
Epoch: [69][5520/14090]	Time 0.754 (0.764)	Data 0.001 (0.002)	Loss 1.7783 (1.8469)	Prec@1 53.906 (51.730)	Prec@5 80.469 (81.341)
Epoch: [69][5530/14090]	Time 0.773 (0.764)	Data 0.001 (0.002)	Loss 1.3977 (1.8469)	Prec@1 60.938 (51.729)	Prec@5 90.625 (81.341)
Epoch: [69][5540/14090]	Time 0.735 (0.764)	Data 0.001 (0.002)	Loss 1.7585 (1.8468)	Prec@1 60.156 (51.733)	Prec@5 83.594 (81.345)
Epoch: [69][5550/14090]	Time 0.724 (0.764)	Data 0.001 (0.002)	Loss 2.1775 (1.8468)	Prec@1 46.875 (51.732)	Prec@5 73.438 (81.345)
Epoch: [69][5560/14090]	Time 0.753 (0.764)	Data 0.001 (0.002)	Loss 1.9484 (1.8468)	Prec@1 46.094 (51.734)	Prec@5 81.250 (81.343)
Epoch: [69][5570/14090]	Time 0.909 (0.764)	Data 0.001 (0.002)	Loss 2.0330 (1.8468)	Prec@1 47.656 (51.731)	Prec@5 77.344 (81.340)
Epoch: [69][5580/14090]	Time 0.747 (0.764)	Data 0.001 (0.002)	Loss 1.9364 (1.8469)	Prec@1 45.312 (51.731)	Prec@5 81.250 (81.339)
Epoch: [69][5590/14090]	Time 0.731 (0.764)	Data 0.001 (0.002)	Loss 1.9761 (1.8469)	Prec@1 46.094 (51.730)	Prec@5 77.344 (81.338)
Epoch: [69][5600/14090]	Time 0.730 (0.764)	Data 0.001 (0.002)	Loss 1.8090 (1.8470)	Prec@1 57.031 (51.729)	Prec@5 79.688 (81.336)
Epoch: [69][5610/14090]	Time 0.729 (0.764)	Data 0.001 (0.002)	Loss 1.7067 (1.8469)	Prec@1 56.250 (51.730)	Prec@5 84.375 (81.337)
Epoch: [69][5620/14090]	Time 0.769 (0.764)	Data 0.001 (0.002)	Loss 1.9310 (1.8468)	Prec@1 47.656 (51.731)	Prec@5 81.250 (81.341)
Epoch: [69][5630/14090]	Time 0.743 (0.764)	Data 0.001 (0.002)	Loss 1.9524 (1.8468)	Prec@1 51.562 (51.732)	Prec@5 79.688 (81.340)
Epoch: [69][5640/14090]	Time 0.896 (0.764)	Data 0.001 (0.002)	Loss 2.0767 (1.8469)	Prec@1 46.875 (51.729)	Prec@5 77.344 (81.334)
Epoch: [69][5650/14090]	Time 0.769 (0.764)	Data 0.001 (0.002)	Loss 1.9619 (1.8469)	Prec@1 49.219 (51.731)	Prec@5 75.000 (81.333)
Epoch: [69][5660/14090]	Time 0.744 (0.764)	Data 0.001 (0.002)	Loss 2.0185 (1.8471)	Prec@1 52.344 (51.730)	Prec@5 80.469 (81.329)
Epoch: [69][5670/14090]	Time 0.724 (0.764)	Data 0.001 (0.002)	Loss 1.6420 (1.8470)	Prec@1 53.125 (51.731)	Prec@5 83.594 (81.329)
Epoch: [69][5680/14090]	Time 0.727 (0.764)	Data 0.001 (0.002)	Loss 1.5577 (1.8468)	Prec@1 53.125 (51.732)	Prec@5 85.938 (81.332)
Epoch: [69][5690/14090]	Time 0.757 (0.764)	Data 0.001 (0.002)	Loss 1.7395 (1.8469)	Prec@1 53.125 (51.730)	Prec@5 84.375 (81.333)
Epoch: [69][5700/14090]	Time 0.755 (0.764)	Data 0.001 (0.002)	Loss 1.8156 (1.8468)	Prec@1 50.781 (51.731)	Prec@5 82.031 (81.333)
Epoch: [69][5710/14090]	Time 0.856 (0.764)	Data 0.001 (0.002)	Loss 1.8892 (1.8466)	Prec@1 49.219 (51.735)	Prec@5 80.469 (81.337)
Epoch: [69][5720/14090]	Time 0.747 (0.764)	Data 0.001 (0.002)	Loss 1.8496 (1.8467)	Prec@1 54.688 (51.733)	Prec@5 79.688 (81.336)
Epoch: [69][5730/14090]	Time 0.746 (0.764)	Data 0.001 (0.002)	Loss 1.8342 (1.8467)	Prec@1 48.438 (51.733)	Prec@5 78.125 (81.335)
Epoch: [69][5740/14090]	Time 0.776 (0.764)	Data 0.001 (0.002)	Loss 1.9828 (1.8468)	Prec@1 49.219 (51.727)	Prec@5 78.906 (81.332)
Epoch: [69][5750/14090]	Time 0.727 (0.764)	Data 0.001 (0.002)	Loss 1.7419 (1.8470)	Prec@1 53.906 (51.723)	Prec@5 82.031 (81.329)
Epoch: [69][5760/14090]	Time 0.760 (0.764)	Data 0.001 (0.002)	Loss 1.9791 (1.8471)	Prec@1 52.344 (51.726)	Prec@5 80.469 (81.328)
Epoch: [69][5770/14090]	Time 0.750 (0.764)	Data 0.001 (0.002)	Loss 1.7380 (1.8470)	Prec@1 54.688 (51.730)	Prec@5 83.594 (81.329)
Epoch: [69][5780/14090]	Time 0.871 (0.764)	Data 0.001 (0.002)	Loss 1.7150 (1.8470)	Prec@1 57.031 (51.730)	Prec@5 82.812 (81.328)
Epoch: [69][5790/14090]	Time 0.738 (0.764)	Data 0.001 (0.002)	Loss 1.7275 (1.8470)	Prec@1 52.344 (51.732)	Prec@5 82.812 (81.327)
Epoch: [69][5800/14090]	Time 0.726 (0.764)	Data 0.001 (0.002)	Loss 1.5600 (1.8470)	Prec@1 57.031 (51.734)	Prec@5 87.500 (81.327)
Epoch: [69][5810/14090]	Time 0.729 (0.764)	Data 0.001 (0.002)	Loss 1.8461 (1.8471)	Prec@1 54.688 (51.733)	Prec@5 83.594 (81.325)
Epoch: [69][5820/14090]	Time 0.721 (0.764)	Data 0.001 (0.002)	Loss 1.7089 (1.8471)	Prec@1 55.469 (51.734)	Prec@5 81.250 (81.324)
Epoch: [69][5830/14090]	Time 0.768 (0.764)	Data 0.001 (0.002)	Loss 1.8316 (1.8471)	Prec@1 54.688 (51.733)	Prec@5 80.469 (81.323)
Epoch: [69][5840/14090]	Time 0.762 (0.764)	Data 0.001 (0.002)	Loss 1.9998 (1.8473)	Prec@1 51.562 (51.728)	Prec@5 78.906 (81.320)
Epoch: [69][5850/14090]	Time 0.844 (0.764)	Data 0.001 (0.002)	Loss 1.8009 (1.8473)	Prec@1 53.125 (51.731)	Prec@5 78.125 (81.321)
Epoch: [69][5860/14090]	Time 0.737 (0.764)	Data 0.001 (0.002)	Loss 1.6468 (1.8472)	Prec@1 56.250 (51.733)	Prec@5 85.156 (81.322)
Epoch: [69][5870/14090]	Time 0.731 (0.764)	Data 0.001 (0.002)	Loss 1.5403 (1.8471)	Prec@1 53.125 (51.732)	Prec@5 86.719 (81.324)
Epoch: [69][5880/14090]	Time 0.724 (0.764)	Data 0.001 (0.002)	Loss 1.9394 (1.8472)	Prec@1 48.438 (51.730)	Prec@5 78.906 (81.322)
Epoch: [69][5890/14090]	Time 0.744 (0.764)	Data 0.001 (0.002)	Loss 2.2756 (1.8472)	Prec@1 44.531 (51.730)	Prec@5 75.000 (81.324)
Epoch: [69][5900/14090]	Time 0.745 (0.764)	Data 0.001 (0.002)	Loss 1.6221 (1.8472)	Prec@1 53.906 (51.731)	Prec@5 85.156 (81.325)
Epoch: [69][5910/14090]	Time 0.753 (0.764)	Data 0.001 (0.002)	Loss 1.5859 (1.8472)	Prec@1 56.250 (51.733)	Prec@5 85.156 (81.323)
Epoch: [69][5920/14090]	Time 0.878 (0.764)	Data 0.001 (0.002)	Loss 1.7261 (1.8472)	Prec@1 48.438 (51.734)	Prec@5 82.812 (81.322)
Epoch: [69][5930/14090]	Time 0.758 (0.764)	Data 0.001 (0.002)	Loss 1.5593 (1.8471)	Prec@1 56.250 (51.735)	Prec@5 88.281 (81.326)
Epoch: [69][5940/14090]	Time 0.787 (0.764)	Data 0.001 (0.002)	Loss 1.9307 (1.8471)	Prec@1 48.438 (51.733)	Prec@5 78.125 (81.327)
Epoch: [69][5950/14090]	Time 0.757 (0.764)	Data 0.001 (0.002)	Loss 1.6890 (1.8472)	Prec@1 53.906 (51.733)	Prec@5 86.719 (81.328)
Epoch: [69][5960/14090]	Time 0.749 (0.764)	Data 0.001 (0.002)	Loss 2.0889 (1.8472)	Prec@1 51.562 (51.735)	Prec@5 77.344 (81.328)
Epoch: [69][5970/14090]	Time 0.758 (0.764)	Data 0.001 (0.002)	Loss 1.9214 (1.8472)	Prec@1 47.656 (51.734)	Prec@5 79.688 (81.329)
Epoch: [69][5980/14090]	Time 0.780 (0.764)	Data 0.001 (0.002)	Loss 1.8405 (1.8472)	Prec@1 51.562 (51.734)	Prec@5 84.375 (81.332)
Epoch: [69][5990/14090]	Time 0.865 (0.764)	Data 0.001 (0.002)	Loss 1.7463 (1.8472)	Prec@1 51.562 (51.733)	Prec@5 82.031 (81.331)
Epoch: [69][6000/14090]	Time 0.738 (0.764)	Data 0.001 (0.002)	Loss 1.7525 (1.8473)	Prec@1 48.438 (51.734)	Prec@5 85.938 (81.330)
Epoch: [69][6010/14090]	Time 0.766 (0.764)	Data 0.001 (0.002)	Loss 1.8899 (1.8472)	Prec@1 51.562 (51.737)	Prec@5 85.156 (81.331)
Epoch: [69][6020/14090]	Time 0.779 (0.764)	Data 0.001 (0.002)	Loss 1.8759 (1.8473)	Prec@1 52.344 (51.732)	Prec@5 82.031 (81.331)
Epoch: [69][6030/14090]	Time 0.725 (0.764)	Data 0.001 (0.002)	Loss 1.6907 (1.8471)	Prec@1 54.688 (51.735)	Prec@5 82.812 (81.334)
Epoch: [69][6040/14090]	Time 0.755 (0.764)	Data 0.001 (0.002)	Loss 2.0291 (1.8471)	Prec@1 47.656 (51.736)	Prec@5 79.688 (81.335)
Epoch: [69][6050/14090]	Time 0.746 (0.764)	Data 0.001 (0.002)	Loss 1.6682 (1.8471)	Prec@1 60.938 (51.738)	Prec@5 82.031 (81.334)
Epoch: [69][6060/14090]	Time 0.856 (0.764)	Data 0.001 (0.002)	Loss 1.7224 (1.8470)	Prec@1 57.812 (51.742)	Prec@5 84.375 (81.337)
Epoch: [69][6070/14090]	Time 0.735 (0.764)	Data 0.001 (0.002)	Loss 1.8971 (1.8470)	Prec@1 46.875 (51.744)	Prec@5 81.250 (81.336)
Epoch: [69][6080/14090]	Time 0.731 (0.764)	Data 0.001 (0.002)	Loss 1.7884 (1.8470)	Prec@1 50.781 (51.743)	Prec@5 82.812 (81.337)
Epoch: [69][6090/14090]	Time 0.762 (0.764)	Data 0.001 (0.002)	Loss 1.8367 (1.8470)	Prec@1 53.125 (51.745)	Prec@5 82.031 (81.336)
Epoch: [69][6100/14090]	Time 0.751 (0.764)	Data 0.001 (0.002)	Loss 1.8398 (1.8470)	Prec@1 52.344 (51.744)	Prec@5 82.812 (81.335)
Epoch: [69][6110/14090]	Time 0.737 (0.764)	Data 0.001 (0.002)	Loss 1.3459 (1.8470)	Prec@1 63.281 (51.744)	Prec@5 90.625 (81.336)
Epoch: [69][6120/14090]	Time 0.731 (0.764)	Data 0.001 (0.002)	Loss 1.8541 (1.8469)	Prec@1 55.469 (51.746)	Prec@5 80.469 (81.336)
Epoch: [69][6130/14090]	Time 0.867 (0.764)	Data 0.001 (0.002)	Loss 1.8469 (1.8470)	Prec@1 48.438 (51.745)	Prec@5 80.469 (81.334)
Epoch: [69][6140/14090]	Time 0.743 (0.764)	Data 0.001 (0.002)	Loss 2.0157 (1.8470)	Prec@1 46.094 (51.746)	Prec@5 77.344 (81.333)
Epoch: [69][6150/14090]	Time 0.727 (0.764)	Data 0.001 (0.002)	Loss 1.7630 (1.8470)	Prec@1 53.125 (51.743)	Prec@5 81.250 (81.333)
Epoch: [69][6160/14090]	Time 0.761 (0.764)	Data 0.001 (0.002)	Loss 2.0034 (1.8470)	Prec@1 53.125 (51.742)	Prec@5 80.469 (81.333)
Epoch: [69][6170/14090]	Time 0.758 (0.764)	Data 0.001 (0.002)	Loss 1.7625 (1.8469)	Prec@1 54.688 (51.746)	Prec@5 78.906 (81.334)
Epoch: [69][6180/14090]	Time 0.744 (0.764)	Data 0.001 (0.002)	Loss 2.0188 (1.8469)	Prec@1 51.562 (51.745)	Prec@5 77.344 (81.333)
Epoch: [69][6190/14090]	Time 0.754 (0.764)	Data 0.001 (0.002)	Loss 1.4977 (1.8470)	Prec@1 59.375 (51.744)	Prec@5 91.406 (81.332)
Epoch: [69][6200/14090]	Time 0.905 (0.764)	Data 0.001 (0.002)	Loss 1.8635 (1.8471)	Prec@1 50.781 (51.741)	Prec@5 79.688 (81.332)
Epoch: [69][6210/14090]	Time 0.732 (0.764)	Data 0.001 (0.002)	Loss 1.9491 (1.8471)	Prec@1 56.250 (51.744)	Prec@5 77.344 (81.331)
Epoch: [69][6220/14090]	Time 0.745 (0.764)	Data 0.001 (0.002)	Loss 1.5927 (1.8471)	Prec@1 55.469 (51.742)	Prec@5 82.812 (81.331)
Epoch: [69][6230/14090]	Time 0.752 (0.764)	Data 0.001 (0.002)	Loss 1.9258 (1.8471)	Prec@1 46.094 (51.742)	Prec@5 82.812 (81.330)
Epoch: [69][6240/14090]	Time 0.730 (0.764)	Data 0.001 (0.002)	Loss 1.9753 (1.8472)	Prec@1 46.875 (51.741)	Prec@5 76.562 (81.327)
Epoch: [69][6250/14090]	Time 0.759 (0.764)	Data 0.001 (0.002)	Loss 1.8290 (1.8472)	Prec@1 52.344 (51.738)	Prec@5 78.906 (81.326)
Epoch: [69][6260/14090]	Time 0.723 (0.764)	Data 0.001 (0.002)	Loss 2.0560 (1.8473)	Prec@1 51.562 (51.739)	Prec@5 77.344 (81.325)
Epoch: [69][6270/14090]	Time 0.821 (0.764)	Data 0.001 (0.002)	Loss 1.7248 (1.8473)	Prec@1 60.156 (51.736)	Prec@5 80.469 (81.326)
Epoch: [69][6280/14090]	Time 0.736 (0.764)	Data 0.001 (0.002)	Loss 1.9166 (1.8473)	Prec@1 49.219 (51.739)	Prec@5 76.562 (81.325)
Epoch: [69][6290/14090]	Time 0.729 (0.764)	Data 0.001 (0.002)	Loss 1.8360 (1.8473)	Prec@1 55.469 (51.739)	Prec@5 82.031 (81.326)
Epoch: [69][6300/14090]	Time 0.741 (0.764)	Data 0.001 (0.002)	Loss 1.9666 (1.8474)	Prec@1 45.312 (51.737)	Prec@5 81.250 (81.325)
Epoch: [69][6310/14090]	Time 0.731 (0.764)	Data 0.001 (0.002)	Loss 1.6724 (1.8475)	Prec@1 56.250 (51.734)	Prec@5 85.938 (81.322)
Epoch: [69][6320/14090]	Time 0.743 (0.764)	Data 0.001 (0.002)	Loss 1.7663 (1.8475)	Prec@1 52.344 (51.734)	Prec@5 83.594 (81.322)
Epoch: [69][6330/14090]	Time 0.732 (0.764)	Data 0.001 (0.002)	Loss 1.8460 (1.8475)	Prec@1 53.125 (51.734)	Prec@5 79.688 (81.322)
Epoch: [69][6340/14090]	Time 0.987 (0.764)	Data 0.001 (0.002)	Loss 1.9892 (1.8477)	Prec@1 54.688 (51.733)	Prec@5 78.125 (81.317)
Epoch: [69][6350/14090]	Time 0.751 (0.764)	Data 0.001 (0.002)	Loss 2.0898 (1.8477)	Prec@1 43.750 (51.730)	Prec@5 74.219 (81.315)
Epoch: [69][6360/14090]	Time 0.736 (0.764)	Data 0.001 (0.002)	Loss 2.0086 (1.8477)	Prec@1 50.000 (51.729)	Prec@5 75.781 (81.315)
Epoch: [69][6370/14090]	Time 0.727 (0.764)	Data 0.001 (0.002)	Loss 1.6967 (1.8477)	Prec@1 60.938 (51.732)	Prec@5 82.031 (81.316)
Epoch: [69][6380/14090]	Time 0.729 (0.764)	Data 0.001 (0.002)	Loss 1.8233 (1.8476)	Prec@1 57.812 (51.731)	Prec@5 78.906 (81.317)
Epoch: [69][6390/14090]	Time 0.750 (0.764)	Data 0.001 (0.002)	Loss 2.0725 (1.8478)	Prec@1 42.969 (51.728)	Prec@5 79.688 (81.315)
Epoch: [69][6400/14090]	Time 0.741 (0.764)	Data 0.001 (0.002)	Loss 1.8348 (1.8478)	Prec@1 54.688 (51.725)	Prec@5 77.344 (81.314)
Epoch: [69][6410/14090]	Time 0.851 (0.764)	Data 0.001 (0.002)	Loss 1.8647 (1.8478)	Prec@1 48.438 (51.725)	Prec@5 81.250 (81.316)
Epoch: [69][6420/14090]	Time 0.748 (0.764)	Data 0.001 (0.002)	Loss 1.7724 (1.8477)	Prec@1 53.906 (51.725)	Prec@5 81.250 (81.319)
Epoch: [69][6430/14090]	Time 0.736 (0.764)	Data 0.001 (0.002)	Loss 2.1132 (1.8478)	Prec@1 49.219 (51.724)	Prec@5 72.656 (81.317)
Epoch: [69][6440/14090]	Time 0.755 (0.764)	Data 0.001 (0.002)	Loss 1.8915 (1.8479)	Prec@1 49.219 (51.723)	Prec@5 83.594 (81.316)
Epoch: [69][6450/14090]	Time 0.749 (0.764)	Data 0.001 (0.002)	Loss 1.7265 (1.8479)	Prec@1 60.156 (51.724)	Prec@5 83.594 (81.317)
Epoch: [69][6460/14090]	Time 0.741 (0.764)	Data 0.001 (0.002)	Loss 1.7699 (1.8479)	Prec@1 51.562 (51.725)	Prec@5 81.250 (81.316)
Epoch: [69][6470/14090]	Time 0.729 (0.764)	Data 0.001 (0.002)	Loss 1.9609 (1.8480)	Prec@1 53.906 (51.724)	Prec@5 80.469 (81.314)
Epoch: [69][6480/14090]	Time 0.878 (0.764)	Data 0.001 (0.002)	Loss 1.8195 (1.8479)	Prec@1 56.250 (51.728)	Prec@5 82.812 (81.315)
Epoch: [69][6490/14090]	Time 0.749 (0.764)	Data 0.001 (0.002)	Loss 1.7736 (1.8479)	Prec@1 56.250 (51.730)	Prec@5 79.688 (81.315)
Epoch: [69][6500/14090]	Time 0.738 (0.764)	Data 0.001 (0.002)	Loss 1.7266 (1.8479)	Prec@1 48.438 (51.728)	Prec@5 82.031 (81.314)
Epoch: [69][6510/14090]	Time 0.735 (0.764)	Data 0.001 (0.002)	Loss 2.0580 (1.8479)	Prec@1 54.688 (51.731)	Prec@5 80.469 (81.313)
Epoch: [69][6520/14090]	Time 0.755 (0.764)	Data 0.001 (0.002)	Loss 2.0912 (1.8480)	Prec@1 51.562 (51.732)	Prec@5 78.125 (81.313)
Epoch: [69][6530/14090]	Time 0.762 (0.764)	Data 0.001 (0.002)	Loss 1.8710 (1.8481)	Prec@1 51.562 (51.729)	Prec@5 82.812 (81.311)
Epoch: [69][6540/14090]	Time 0.760 (0.764)	Data 0.001 (0.002)	Loss 1.9383 (1.8481)	Prec@1 50.781 (51.729)	Prec@5 78.906 (81.313)
Epoch: [69][6550/14090]	Time 0.885 (0.764)	Data 0.001 (0.002)	Loss 2.1696 (1.8481)	Prec@1 39.844 (51.729)	Prec@5 77.344 (81.314)
Epoch: [69][6560/14090]	Time 0.749 (0.764)	Data 0.001 (0.002)	Loss 2.0572 (1.8482)	Prec@1 50.000 (51.729)	Prec@5 79.688 (81.313)
Epoch: [69][6570/14090]	Time 0.746 (0.764)	Data 0.001 (0.002)	Loss 1.6217 (1.8482)	Prec@1 58.594 (51.731)	Prec@5 85.156 (81.313)
Epoch: [69][6580/14090]	Time 0.758 (0.764)	Data 0.001 (0.002)	Loss 1.8540 (1.8483)	Prec@1 52.344 (51.728)	Prec@5 81.250 (81.313)
Epoch: [69][6590/14090]	Time 0.759 (0.764)	Data 0.001 (0.002)	Loss 1.8131 (1.8482)	Prec@1 56.250 (51.728)	Prec@5 81.250 (81.316)
Epoch: [69][6600/14090]	Time 0.732 (0.764)	Data 0.001 (0.002)	Loss 1.8918 (1.8483)	Prec@1 49.219 (51.727)	Prec@5 83.594 (81.317)
Epoch: [69][6610/14090]	Time 0.721 (0.764)	Data 0.001 (0.002)	Loss 1.8086 (1.8482)	Prec@1 52.344 (51.728)	Prec@5 84.375 (81.317)
Epoch: [69][6620/14090]	Time 0.850 (0.764)	Data 0.001 (0.002)	Loss 1.7342 (1.8483)	Prec@1 52.344 (51.726)	Prec@5 83.594 (81.314)
Epoch: [69][6630/14090]	Time 0.741 (0.764)	Data 0.001 (0.002)	Loss 1.9318 (1.8483)	Prec@1 46.094 (51.727)	Prec@5 78.906 (81.314)
Epoch: [69][6640/14090]	Time 0.766 (0.764)	Data 0.001 (0.002)	Loss 1.8834 (1.8483)	Prec@1 51.562 (51.726)	Prec@5 82.812 (81.314)
Epoch: [69][6650/14090]	Time 0.764 (0.764)	Data 0.001 (0.002)	Loss 1.8558 (1.8484)	Prec@1 50.000 (51.727)	Prec@5 78.906 (81.313)
Epoch: [69][6660/14090]	Time 0.760 (0.764)	Data 0.001 (0.002)	Loss 1.7608 (1.8484)	Prec@1 50.781 (51.723)	Prec@5 84.375 (81.314)
Epoch: [69][6670/14090]	Time 0.753 (0.764)	Data 0.001 (0.002)	Loss 2.0692 (1.8484)	Prec@1 41.406 (51.722)	Prec@5 74.219 (81.312)
Epoch: [69][6680/14090]	Time 0.726 (0.764)	Data 0.001 (0.002)	Loss 1.6603 (1.8484)	Prec@1 59.375 (51.724)	Prec@5 83.594 (81.311)
Epoch: [69][6690/14090]	Time 0.855 (0.764)	Data 0.001 (0.002)	Loss 1.9350 (1.8483)	Prec@1 49.219 (51.722)	Prec@5 77.344 (81.312)
Epoch: [69][6700/14090]	Time 0.778 (0.764)	Data 0.001 (0.002)	Loss 2.1146 (1.8483)	Prec@1 47.656 (51.723)	Prec@5 77.344 (81.312)
Epoch: [69][6710/14090]	Time 0.763 (0.764)	Data 0.001 (0.002)	Loss 2.0441 (1.8483)	Prec@1 50.000 (51.723)	Prec@5 76.562 (81.311)
Epoch: [69][6720/14090]	Time 0.748 (0.764)	Data 0.001 (0.002)	Loss 1.6030 (1.8483)	Prec@1 60.156 (51.724)	Prec@5 86.719 (81.311)
Epoch: [69][6730/14090]	Time 0.728 (0.764)	Data 0.001 (0.002)	Loss 1.9154 (1.8484)	Prec@1 47.656 (51.723)	Prec@5 82.031 (81.310)
Epoch: [69][6740/14090]	Time 0.724 (0.764)	Data 0.001 (0.002)	Loss 1.6781 (1.8484)	Prec@1 56.250 (51.724)	Prec@5 82.812 (81.309)
Epoch: [69][6750/14090]	Time 0.728 (0.764)	Data 0.001 (0.002)	Loss 2.0727 (1.8484)	Prec@1 45.312 (51.723)	Prec@5 75.781 (81.310)
Epoch: [69][6760/14090]	Time 0.834 (0.764)	Data 0.001 (0.002)	Loss 1.8832 (1.8485)	Prec@1 46.875 (51.721)	Prec@5 82.812 (81.310)
Epoch: [69][6770/14090]	Time 0.744 (0.764)	Data 0.001 (0.002)	Loss 1.6348 (1.8486)	Prec@1 60.156 (51.719)	Prec@5 82.812 (81.309)
Epoch: [69][6780/14090]	Time 0.728 (0.764)	Data 0.001 (0.002)	Loss 1.9203 (1.8486)	Prec@1 41.406 (51.718)	Prec@5 83.594 (81.308)
Epoch: [69][6790/14090]	Time 0.751 (0.764)	Data 0.001 (0.002)	Loss 1.9836 (1.8486)	Prec@1 53.125 (51.718)	Prec@5 77.344 (81.306)
Epoch: [69][6800/14090]	Time 0.748 (0.764)	Data 0.001 (0.002)	Loss 1.8014 (1.8486)	Prec@1 55.469 (51.720)	Prec@5 81.250 (81.307)
Epoch: [69][6810/14090]	Time 0.744 (0.764)	Data 0.001 (0.002)	Loss 1.9128 (1.8486)	Prec@1 51.562 (51.718)	Prec@5 80.469 (81.306)
Epoch: [69][6820/14090]	Time 0.754 (0.764)	Data 0.001 (0.002)	Loss 1.7225 (1.8486)	Prec@1 54.688 (51.715)	Prec@5 85.156 (81.307)
Epoch: [69][6830/14090]	Time 0.849 (0.764)	Data 0.001 (0.002)	Loss 2.0095 (1.8486)	Prec@1 46.094 (51.714)	Prec@5 78.125 (81.306)
Epoch: [69][6840/14090]	Time 0.738 (0.764)	Data 0.001 (0.002)	Loss 1.8047 (1.8487)	Prec@1 53.125 (51.710)	Prec@5 83.594 (81.306)
Epoch: [69][6850/14090]	Time 0.749 (0.764)	Data 0.001 (0.002)	Loss 1.9312 (1.8487)	Prec@1 41.406 (51.709)	Prec@5 82.812 (81.308)
Epoch: [69][6860/14090]	Time 0.766 (0.764)	Data 0.001 (0.002)	Loss 1.8096 (1.8486)	Prec@1 52.344 (51.712)	Prec@5 82.031 (81.310)
Epoch: [69][6870/14090]	Time 0.755 (0.764)	Data 0.001 (0.002)	Loss 1.8467 (1.8486)	Prec@1 52.344 (51.714)	Prec@5 80.469 (81.312)
Epoch: [69][6880/14090]	Time 0.734 (0.764)	Data 0.001 (0.002)	Loss 1.7261 (1.8485)	Prec@1 53.125 (51.713)	Prec@5 82.031 (81.311)
Epoch: [69][6890/14090]	Time 0.733 (0.764)	Data 0.001 (0.002)	Loss 1.8456 (1.8486)	Prec@1 49.219 (51.711)	Prec@5 83.594 (81.311)
Epoch: [69][6900/14090]	Time 0.854 (0.764)	Data 0.001 (0.002)	Loss 1.7064 (1.8485)	Prec@1 53.906 (51.714)	Prec@5 86.719 (81.312)
Epoch: [69][6910/14090]	Time 0.732 (0.764)	Data 0.001 (0.002)	Loss 1.6408 (1.8485)	Prec@1 51.562 (51.714)	Prec@5 85.156 (81.312)
Epoch: [69][6920/14090]	Time 0.748 (0.764)	Data 0.001 (0.002)	Loss 2.1963 (1.8486)	Prec@1 44.531 (51.713)	Prec@5 68.750 (81.311)
Epoch: [69][6930/14090]	Time 0.759 (0.764)	Data 0.001 (0.002)	Loss 2.1945 (1.8486)	Prec@1 46.875 (51.714)	Prec@5 71.094 (81.311)
Epoch: [69][6940/14090]	Time 0.742 (0.764)	Data 0.001 (0.002)	Loss 1.9994 (1.8486)	Prec@1 53.125 (51.713)	Prec@5 78.125 (81.310)
Epoch: [69][6950/14090]	Time 0.757 (0.764)	Data 0.001 (0.002)	Loss 1.8527 (1.8486)	Prec@1 50.781 (51.716)	Prec@5 81.250 (81.308)
Epoch: [69][6960/14090]	Time 0.752 (0.764)	Data 0.001 (0.002)	Loss 1.7566 (1.8486)	Prec@1 51.562 (51.714)	Prec@5 85.938 (81.309)
Epoch: [69][6970/14090]	Time 0.869 (0.764)	Data 0.001 (0.002)	Loss 1.7006 (1.8485)	Prec@1 58.594 (51.716)	Prec@5 77.344 (81.310)
Epoch: [69][6980/14090]	Time 0.738 (0.764)	Data 0.001 (0.002)	Loss 1.7973 (1.8484)	Prec@1 55.469 (51.719)	Prec@5 79.688 (81.311)
Epoch: [69][6990/14090]	Time 0.745 (0.764)	Data 0.001 (0.002)	Loss 1.9115 (1.8484)	Prec@1 50.781 (51.722)	Prec@5 82.031 (81.312)
Epoch: [69][7000/14090]	Time 0.751 (0.764)	Data 0.001 (0.002)	Loss 1.8873 (1.8485)	Prec@1 51.562 (51.721)	Prec@5 78.906 (81.310)
Epoch: [69][7010/14090]	Time 0.756 (0.764)	Data 0.001 (0.002)	Loss 2.0160 (1.8485)	Prec@1 46.094 (51.718)	Prec@5 79.688 (81.310)
Epoch: [69][7020/14090]	Time 0.731 (0.764)	Data 0.001 (0.002)	Loss 1.7678 (1.8486)	Prec@1 53.906 (51.717)	Prec@5 81.250 (81.310)
Epoch: [69][7030/14090]	Time 0.739 (0.764)	Data 0.001 (0.002)	Loss 1.8516 (1.8487)	Prec@1 53.125 (51.717)	Prec@5 84.375 (81.309)
Epoch: [69][7040/14090]	Time 0.861 (0.764)	Data 0.001 (0.002)	Loss 1.6837 (1.8485)	Prec@1 53.125 (51.721)	Prec@5 86.719 (81.311)
Epoch: [69][7050/14090]	Time 0.731 (0.764)	Data 0.001 (0.002)	Loss 2.1699 (1.8485)	Prec@1 43.750 (51.722)	Prec@5 78.906 (81.312)
Epoch: [69][7060/14090]	Time 0.741 (0.764)	Data 0.001 (0.002)	Loss 1.7689 (1.8485)	Prec@1 58.594 (51.726)	Prec@5 79.688 (81.313)
Epoch: [69][7070/14090]	Time 0.741 (0.764)	Data 0.001 (0.002)	Loss 1.8369 (1.8485)	Prec@1 50.781 (51.725)	Prec@5 78.906 (81.313)
Epoch: [69][7080/14090]	Time 0.756 (0.764)	Data 0.001 (0.002)	Loss 1.8861 (1.8485)	Prec@1 46.875 (51.721)	Prec@5 79.688 (81.312)
Epoch: [69][7090/14090]	Time 0.755 (0.764)	Data 0.001 (0.002)	Loss 1.7466 (1.8485)	Prec@1 52.344 (51.720)	Prec@5 86.719 (81.311)
Epoch: [69][7100/14090]	Time 0.767 (0.764)	Data 0.001 (0.002)	Loss 2.0201 (1.8486)	Prec@1 48.438 (51.719)	Prec@5 78.125 (81.310)
Epoch: [69][7110/14090]	Time 0.852 (0.764)	Data 0.001 (0.002)	Loss 1.8551 (1.8486)	Prec@1 50.000 (51.716)	Prec@5 78.906 (81.308)
Epoch: [69][7120/14090]	Time 0.741 (0.764)	Data 0.001 (0.002)	Loss 1.9787 (1.8487)	Prec@1 49.219 (51.713)	Prec@5 77.344 (81.307)
Epoch: [69][7130/14090]	Time 0.757 (0.764)	Data 0.001 (0.002)	Loss 2.0940 (1.8488)	Prec@1 46.094 (51.712)	Prec@5 75.000 (81.306)
Epoch: [69][7140/14090]	Time 0.747 (0.764)	Data 0.001 (0.002)	Loss 1.8527 (1.8487)	Prec@1 48.438 (51.714)	Prec@5 77.344 (81.307)
Epoch: [69][7150/14090]	Time 0.738 (0.764)	Data 0.001 (0.002)	Loss 1.6676 (1.8487)	Prec@1 57.031 (51.714)	Prec@5 82.031 (81.306)
Epoch: [69][7160/14090]	Time 0.727 (0.764)	Data 0.001 (0.002)	Loss 1.7510 (1.8487)	Prec@1 52.344 (51.714)	Prec@5 82.031 (81.305)
Epoch: [69][7170/14090]	Time 0.740 (0.764)	Data 0.001 (0.002)	Loss 2.0178 (1.8487)	Prec@1 46.875 (51.714)	Prec@5 78.125 (81.304)
Epoch: [69][7180/14090]	Time 0.855 (0.764)	Data 0.001 (0.002)	Loss 1.6611 (1.8486)	Prec@1 53.906 (51.717)	Prec@5 86.719 (81.307)
Epoch: [69][7190/14090]	Time 0.740 (0.764)	Data 0.001 (0.002)	Loss 1.8873 (1.8485)	Prec@1 53.906 (51.718)	Prec@5 78.125 (81.309)
Epoch: [69][7200/14090]	Time 0.748 (0.764)	Data 0.001 (0.002)	Loss 2.1172 (1.8486)	Prec@1 51.562 (51.717)	Prec@5 79.688 (81.311)
Epoch: [69][7210/14090]	Time 0.770 (0.764)	Data 0.001 (0.002)	Loss 1.9326 (1.8486)	Prec@1 49.219 (51.717)	Prec@5 80.469 (81.311)
Epoch: [69][7220/14090]	Time 0.749 (0.764)	Data 0.001 (0.002)	Loss 1.6961 (1.8487)	Prec@1 54.688 (51.717)	Prec@5 82.812 (81.307)
Epoch: [69][7230/14090]	Time 0.753 (0.764)	Data 0.001 (0.002)	Loss 2.1960 (1.8488)	Prec@1 44.531 (51.713)	Prec@5 76.562 (81.303)
Epoch: [69][7240/14090]	Time 0.743 (0.764)	Data 0.001 (0.002)	Loss 1.9831 (1.8488)	Prec@1 50.000 (51.713)	Prec@5 78.906 (81.305)
Epoch: [69][7250/14090]	Time 0.848 (0.764)	Data 0.001 (0.002)	Loss 1.7830 (1.8488)	Prec@1 52.344 (51.712)	Prec@5 82.031 (81.303)
Epoch: [69][7260/14090]	Time 0.729 (0.764)	Data 0.001 (0.002)	Loss 1.7818 (1.8489)	Prec@1 48.438 (51.711)	Prec@5 84.375 (81.301)
Epoch: [69][7270/14090]	Time 0.726 (0.764)	Data 0.001 (0.002)	Loss 1.8896 (1.8490)	Prec@1 50.781 (51.710)	Prec@5 74.219 (81.298)
Epoch: [69][7280/14090]	Time 0.739 (0.764)	Data 0.001 (0.002)	Loss 1.8135 (1.8490)	Prec@1 50.781 (51.709)	Prec@5 83.594 (81.299)
Epoch: [69][7290/14090]	Time 0.751 (0.764)	Data 0.001 (0.002)	Loss 1.7900 (1.8490)	Prec@1 52.344 (51.708)	Prec@5 82.812 (81.298)
Epoch: [69][7300/14090]	Time 0.731 (0.764)	Data 0.001 (0.002)	Loss 1.8693 (1.8490)	Prec@1 48.438 (51.709)	Prec@5 79.688 (81.298)
Epoch: [69][7310/14090]	Time 0.743 (0.764)	Data 0.001 (0.002)	Loss 1.7830 (1.8489)	Prec@1 51.562 (51.710)	Prec@5 81.250 (81.299)
Epoch: [69][7320/14090]	Time 0.995 (0.764)	Data 0.002 (0.002)	Loss 1.5978 (1.8489)	Prec@1 53.906 (51.710)	Prec@5 85.938 (81.300)
Epoch: [69][7330/14090]	Time 0.752 (0.764)	Data 0.001 (0.002)	Loss 1.7509 (1.8490)	Prec@1 57.031 (51.714)	Prec@5 79.688 (81.298)
Epoch: [69][7340/14090]	Time 0.726 (0.764)	Data 0.001 (0.002)	Loss 2.0785 (1.8489)	Prec@1 42.969 (51.714)	Prec@5 75.000 (81.299)
Epoch: [69][7350/14090]	Time 0.776 (0.764)	Data 0.001 (0.002)	Loss 1.8619 (1.8488)	Prec@1 43.750 (51.717)	Prec@5 80.469 (81.301)
Epoch: [69][7360/14090]	Time 0.757 (0.764)	Data 0.002 (0.002)	Loss 2.1488 (1.8487)	Prec@1 44.531 (51.718)	Prec@5 72.656 (81.302)
Epoch: [69][7370/14090]	Time 0.732 (0.764)	Data 0.001 (0.002)	Loss 1.3459 (1.8487)	Prec@1 63.281 (51.717)	Prec@5 88.281 (81.299)
Epoch: [69][7380/14090]	Time 0.759 (0.764)	Data 0.001 (0.002)	Loss 1.6327 (1.8487)	Prec@1 55.469 (51.716)	Prec@5 82.812 (81.301)
Epoch: [69][7390/14090]	Time 0.868 (0.764)	Data 0.001 (0.002)	Loss 2.0024 (1.8486)	Prec@1 44.531 (51.719)	Prec@5 80.469 (81.302)
Epoch: [69][7400/14090]	Time 0.724 (0.764)	Data 0.001 (0.002)	Loss 1.7973 (1.8486)	Prec@1 54.688 (51.718)	Prec@5 79.688 (81.301)
Epoch: [69][7410/14090]	Time 0.734 (0.764)	Data 0.001 (0.002)	Loss 1.7789 (1.8487)	Prec@1 50.000 (51.718)	Prec@5 81.250 (81.299)
Epoch: [69][7420/14090]	Time 0.763 (0.764)	Data 0.001 (0.002)	Loss 1.6265 (1.8486)	Prec@1 58.594 (51.721)	Prec@5 87.500 (81.301)
Epoch: [69][7430/14090]	Time 0.776 (0.764)	Data 0.001 (0.002)	Loss 2.1257 (1.8487)	Prec@1 45.312 (51.719)	Prec@5 77.344 (81.300)
Epoch: [69][7440/14090]	Time 0.757 (0.764)	Data 0.001 (0.002)	Loss 1.7061 (1.8486)	Prec@1 50.000 (51.719)	Prec@5 89.062 (81.303)
Epoch: [69][7450/14090]	Time 0.784 (0.764)	Data 0.001 (0.002)	Loss 2.1016 (1.8486)	Prec@1 49.219 (51.721)	Prec@5 78.125 (81.303)
Epoch: [69][7460/14090]	Time 0.853 (0.764)	Data 0.001 (0.002)	Loss 1.8520 (1.8486)	Prec@1 53.125 (51.720)	Prec@5 81.250 (81.302)
Epoch: [69][7470/14090]	Time 0.750 (0.764)	Data 0.001 (0.002)	Loss 1.9850 (1.8485)	Prec@1 48.438 (51.722)	Prec@5 78.906 (81.303)
Epoch: [69][7480/14090]	Time 0.716 (0.764)	Data 0.001 (0.002)	Loss 1.8715 (1.8484)	Prec@1 50.000 (51.723)	Prec@5 81.250 (81.303)
Epoch: [69][7490/14090]	Time 0.750 (0.764)	Data 0.001 (0.002)	Loss 1.8292 (1.8485)	Prec@1 56.250 (51.721)	Prec@5 78.906 (81.301)
Epoch: [69][7500/14090]	Time 0.756 (0.764)	Data 0.001 (0.002)	Loss 1.6284 (1.8485)	Prec@1 53.906 (51.720)	Prec@5 85.938 (81.302)
Epoch: [69][7510/14090]	Time 0.746 (0.764)	Data 0.001 (0.002)	Loss 1.8777 (1.8485)	Prec@1 45.312 (51.719)	Prec@5 83.594 (81.303)
Epoch: [69][7520/14090]	Time 0.731 (0.764)	Data 0.002 (0.002)	Loss 1.9805 (1.8485)	Prec@1 46.094 (51.717)	Prec@5 76.562 (81.302)
Epoch: [69][7530/14090]	Time 0.845 (0.764)	Data 0.001 (0.002)	Loss 2.1172 (1.8486)	Prec@1 42.188 (51.717)	Prec@5 74.219 (81.301)
Epoch: [69][7540/14090]	Time 0.760 (0.764)	Data 0.001 (0.002)	Loss 1.8535 (1.8486)	Prec@1 54.688 (51.713)	Prec@5 82.031 (81.300)
Epoch: [69][7550/14090]	Time 0.757 (0.764)	Data 0.001 (0.002)	Loss 1.8498 (1.8485)	Prec@1 50.000 (51.716)	Prec@5 77.344 (81.302)
Epoch: [69][7560/14090]	Time 0.768 (0.764)	Data 0.001 (0.002)	Loss 1.9660 (1.8486)	Prec@1 44.531 (51.710)	Prec@5 80.469 (81.301)
Epoch: [69][7570/14090]	Time 0.744 (0.764)	Data 0.001 (0.002)	Loss 1.9178 (1.8485)	Prec@1 48.438 (51.711)	Prec@5 84.375 (81.303)
Epoch: [69][7580/14090]	Time 0.729 (0.764)	Data 0.001 (0.002)	Loss 2.0306 (1.8485)	Prec@1 50.781 (51.710)	Prec@5 81.250 (81.303)
Epoch: [69][7590/14090]	Time 0.748 (0.764)	Data 0.001 (0.002)	Loss 1.8171 (1.8486)	Prec@1 50.781 (51.708)	Prec@5 84.375 (81.304)
Epoch: [69][7600/14090]	Time 0.988 (0.764)	Data 0.001 (0.002)	Loss 1.9645 (1.8486)	Prec@1 51.562 (51.706)	Prec@5 81.250 (81.305)
Epoch: [69][7610/14090]	Time 0.730 (0.764)	Data 0.001 (0.002)	Loss 1.7801 (1.8486)	Prec@1 54.688 (51.706)	Prec@5 84.375 (81.303)
Epoch: [69][7620/14090]	Time 0.733 (0.764)	Data 0.001 (0.002)	Loss 1.9332 (1.8485)	Prec@1 49.219 (51.710)	Prec@5 82.031 (81.304)
Epoch: [69][7630/14090]	Time 0.730 (0.764)	Data 0.001 (0.002)	Loss 1.7097 (1.8484)	Prec@1 56.250 (51.714)	Prec@5 82.031 (81.306)
Epoch: [69][7640/14090]	Time 0.751 (0.764)	Data 0.001 (0.002)	Loss 1.6664 (1.8484)	Prec@1 51.562 (51.715)	Prec@5 86.719 (81.307)
Epoch: [69][7650/14090]	Time 0.753 (0.764)	Data 0.001 (0.002)	Loss 1.5388 (1.8484)	Prec@1 61.719 (51.717)	Prec@5 89.062 (81.308)
Epoch: [69][7660/14090]	Time 0.752 (0.764)	Data 0.001 (0.002)	Loss 1.8324 (1.8484)	Prec@1 53.125 (51.718)	Prec@5 85.156 (81.307)
Epoch: [69][7670/14090]	Time 0.858 (0.764)	Data 0.001 (0.002)	Loss 1.8580 (1.8484)	Prec@1 51.562 (51.718)	Prec@5 83.594 (81.307)
Epoch: [69][7680/14090]	Time 0.757 (0.764)	Data 0.001 (0.002)	Loss 1.8830 (1.8484)	Prec@1 50.781 (51.719)	Prec@5 77.344 (81.306)
Epoch: [69][7690/14090]	Time 0.740 (0.764)	Data 0.002 (0.002)	Loss 1.5643 (1.8484)	Prec@1 58.594 (51.718)	Prec@5 85.938 (81.303)
Epoch: [69][7700/14090]	Time 0.748 (0.764)	Data 0.001 (0.002)	Loss 1.7616 (1.8484)	Prec@1 55.469 (51.717)	Prec@5 82.812 (81.304)
Epoch: [69][7710/14090]	Time 0.748 (0.764)	Data 0.001 (0.002)	Loss 1.6319 (1.8484)	Prec@1 57.812 (51.718)	Prec@5 87.500 (81.306)
Epoch: [69][7720/14090]	Time 0.755 (0.764)	Data 0.001 (0.002)	Loss 1.6872 (1.8485)	Prec@1 55.469 (51.716)	Prec@5 84.375 (81.304)
Epoch: [69][7730/14090]	Time 0.743 (0.764)	Data 0.001 (0.002)	Loss 1.8676 (1.8485)	Prec@1 46.875 (51.717)	Prec@5 85.156 (81.305)
Epoch: [69][7740/14090]	Time 0.835 (0.764)	Data 0.001 (0.002)	Loss 1.9193 (1.8485)	Prec@1 50.781 (51.718)	Prec@5 76.562 (81.305)
Epoch: [69][7750/14090]	Time 0.735 (0.764)	Data 0.001 (0.002)	Loss 2.1249 (1.8486)	Prec@1 42.969 (51.715)	Prec@5 74.219 (81.302)
Epoch: [69][7760/14090]	Time 0.759 (0.764)	Data 0.001 (0.002)	Loss 1.8066 (1.8485)	Prec@1 51.562 (51.718)	Prec@5 81.250 (81.303)
Epoch: [69][7770/14090]	Time 0.736 (0.764)	Data 0.001 (0.002)	Loss 2.1170 (1.8484)	Prec@1 38.281 (51.718)	Prec@5 79.688 (81.304)
Epoch: [69][7780/14090]	Time 0.733 (0.764)	Data 0.001 (0.002)	Loss 1.9706 (1.8484)	Prec@1 50.781 (51.719)	Prec@5 79.688 (81.305)
Epoch: [69][7790/14090]	Time 0.735 (0.764)	Data 0.001 (0.002)	Loss 1.7455 (1.8483)	Prec@1 52.344 (51.721)	Prec@5 82.812 (81.306)
Epoch: [69][7800/14090]	Time 0.750 (0.764)	Data 0.001 (0.002)	Loss 1.7444 (1.8483)	Prec@1 53.125 (51.720)	Prec@5 78.906 (81.306)
Epoch: [69][7810/14090]	Time 0.826 (0.764)	Data 0.001 (0.002)	Loss 1.6292 (1.8483)	Prec@1 55.469 (51.720)	Prec@5 85.156 (81.306)
Epoch: [69][7820/14090]	Time 0.741 (0.764)	Data 0.001 (0.002)	Loss 1.6089 (1.8483)	Prec@1 57.031 (51.719)	Prec@5 83.594 (81.306)
Epoch: [69][7830/14090]	Time 0.750 (0.764)	Data 0.001 (0.002)	Loss 1.8354 (1.8483)	Prec@1 53.125 (51.721)	Prec@5 80.469 (81.306)
Epoch: [69][7840/14090]	Time 0.735 (0.764)	Data 0.001 (0.002)	Loss 1.9252 (1.8483)	Prec@1 46.875 (51.719)	Prec@5 82.031 (81.307)
Epoch: [69][7850/14090]	Time 0.736 (0.764)	Data 0.001 (0.002)	Loss 1.8106 (1.8483)	Prec@1 53.125 (51.719)	Prec@5 79.688 (81.307)
Epoch: [69][7860/14090]	Time 0.761 (0.764)	Data 0.001 (0.002)	Loss 1.6597 (1.8481)	Prec@1 53.906 (51.723)	Prec@5 83.594 (81.311)
Epoch: [69][7870/14090]	Time 0.751 (0.764)	Data 0.001 (0.002)	Loss 1.9236 (1.8482)	Prec@1 49.219 (51.722)	Prec@5 79.688 (81.311)
Epoch: [69][7880/14090]	Time 0.867 (0.764)	Data 0.001 (0.002)	Loss 1.7248 (1.8481)	Prec@1 54.688 (51.721)	Prec@5 83.594 (81.313)
Epoch: [69][7890/14090]	Time 0.735 (0.764)	Data 0.001 (0.002)	Loss 2.0585 (1.8482)	Prec@1 47.656 (51.719)	Prec@5 75.000 (81.312)
Epoch: [69][7900/14090]	Time 0.726 (0.764)	Data 0.001 (0.002)	Loss 1.9494 (1.8483)	Prec@1 50.000 (51.715)	Prec@5 80.469 (81.310)
Epoch: [69][7910/14090]	Time 0.773 (0.764)	Data 0.001 (0.002)	Loss 1.7056 (1.8484)	Prec@1 53.906 (51.715)	Prec@5 86.719 (81.309)
Epoch: [69][7920/14090]	Time 0.748 (0.764)	Data 0.001 (0.002)	Loss 1.8137 (1.8483)	Prec@1 54.688 (51.716)	Prec@5 82.031 (81.310)
Epoch: [69][7930/14090]	Time 0.724 (0.764)	Data 0.001 (0.002)	Loss 1.9866 (1.8483)	Prec@1 46.094 (51.713)	Prec@5 80.469 (81.307)
Epoch: [69][7940/14090]	Time 0.736 (0.764)	Data 0.001 (0.002)	Loss 1.7440 (1.8483)	Prec@1 51.562 (51.714)	Prec@5 85.156 (81.307)
Epoch: [69][7950/14090]	Time 0.860 (0.764)	Data 0.001 (0.002)	Loss 1.8937 (1.8484)	Prec@1 51.562 (51.712)	Prec@5 83.594 (81.307)
Epoch: [69][7960/14090]	Time 0.775 (0.764)	Data 0.001 (0.002)	Loss 2.2271 (1.8484)	Prec@1 43.750 (51.712)	Prec@5 75.000 (81.306)
Epoch: [69][7970/14090]	Time 0.747 (0.764)	Data 0.001 (0.002)	Loss 2.0755 (1.8486)	Prec@1 49.219 (51.710)	Prec@5 76.562 (81.303)
Epoch: [69][7980/14090]	Time 0.744 (0.764)	Data 0.001 (0.002)	Loss 1.7835 (1.8486)	Prec@1 55.469 (51.709)	Prec@5 85.938 (81.304)
Epoch: [69][7990/14090]	Time 0.761 (0.764)	Data 0.001 (0.002)	Loss 1.5735 (1.8486)	Prec@1 57.031 (51.708)	Prec@5 83.594 (81.304)
Epoch: [69][8000/14090]	Time 0.770 (0.764)	Data 0.001 (0.002)	Loss 1.7408 (1.8486)	Prec@1 53.125 (51.708)	Prec@5 82.812 (81.305)
Epoch: [69][8010/14090]	Time 0.757 (0.764)	Data 0.001 (0.002)	Loss 1.8146 (1.8486)	Prec@1 52.344 (51.706)	Prec@5 82.812 (81.305)
Epoch: [69][8020/14090]	Time 0.850 (0.764)	Data 0.001 (0.002)	Loss 1.6767 (1.8486)	Prec@1 53.906 (51.708)	Prec@5 85.156 (81.305)
Epoch: [69][8030/14090]	Time 0.745 (0.764)	Data 0.001 (0.002)	Loss 1.7996 (1.8486)	Prec@1 48.438 (51.707)	Prec@5 85.156 (81.307)
Epoch: [69][8040/14090]	Time 0.748 (0.764)	Data 0.001 (0.002)	Loss 1.8515 (1.8486)	Prec@1 46.094 (51.706)	Prec@5 83.594 (81.308)
Epoch: [69][8050/14090]	Time 0.722 (0.764)	Data 0.001 (0.002)	Loss 1.7178 (1.8486)	Prec@1 53.125 (51.705)	Prec@5 84.375 (81.307)
Epoch: [69][8060/14090]	Time 0.757 (0.764)	Data 0.001 (0.002)	Loss 1.7217 (1.8487)	Prec@1 55.469 (51.706)	Prec@5 82.812 (81.308)
Epoch: [69][8070/14090]	Time 0.723 (0.764)	Data 0.001 (0.002)	Loss 1.8401 (1.8487)	Prec@1 53.125 (51.705)	Prec@5 79.688 (81.308)
Epoch: [69][8080/14090]	Time 0.741 (0.764)	Data 0.001 (0.002)	Loss 1.9895 (1.8488)	Prec@1 54.688 (51.702)	Prec@5 81.250 (81.306)
Epoch: [69][8090/14090]	Time 0.850 (0.764)	Data 0.001 (0.002)	Loss 2.1533 (1.8488)	Prec@1 46.094 (51.703)	Prec@5 81.250 (81.306)
Epoch: [69][8100/14090]	Time 0.740 (0.764)	Data 0.001 (0.002)	Loss 1.8750 (1.8487)	Prec@1 50.000 (51.705)	Prec@5 80.469 (81.308)
Epoch: [69][8110/14090]	Time 0.723 (0.764)	Data 0.001 (0.002)	Loss 1.5961 (1.8487)	Prec@1 52.344 (51.705)	Prec@5 85.156 (81.309)
Epoch: [69][8120/14090]	Time 0.736 (0.764)	Data 0.001 (0.002)	Loss 1.8117 (1.8486)	Prec@1 48.438 (51.708)	Prec@5 86.719 (81.310)
Epoch: [69][8130/14090]	Time 0.750 (0.764)	Data 0.001 (0.002)	Loss 1.5605 (1.8486)	Prec@1 59.375 (51.709)	Prec@5 89.062 (81.311)
Epoch: [69][8140/14090]	Time 0.735 (0.764)	Data 0.001 (0.002)	Loss 1.8027 (1.8487)	Prec@1 54.688 (51.707)	Prec@5 78.125 (81.309)
Epoch: [69][8150/14090]	Time 0.741 (0.764)	Data 0.001 (0.002)	Loss 1.8997 (1.8487)	Prec@1 55.469 (51.703)	Prec@5 77.344 (81.307)
Epoch: [69][8160/14090]	Time 0.883 (0.764)	Data 0.001 (0.002)	Loss 1.7449 (1.8487)	Prec@1 51.562 (51.703)	Prec@5 80.469 (81.307)
Epoch: [69][8170/14090]	Time 0.727 (0.764)	Data 0.001 (0.002)	Loss 1.8721 (1.8488)	Prec@1 52.344 (51.702)	Prec@5 82.031 (81.305)
Epoch: [69][8180/14090]	Time 0.729 (0.764)	Data 0.001 (0.002)	Loss 1.6434 (1.8488)	Prec@1 55.469 (51.702)	Prec@5 85.938 (81.306)
Epoch: [69][8190/14090]	Time 0.752 (0.764)	Data 0.001 (0.002)	Loss 1.9513 (1.8489)	Prec@1 49.219 (51.700)	Prec@5 79.688 (81.304)
Epoch: [69][8200/14090]	Time 0.734 (0.764)	Data 0.001 (0.002)	Loss 2.2034 (1.8489)	Prec@1 43.750 (51.701)	Prec@5 76.562 (81.304)
Epoch: [69][8210/14090]	Time 0.760 (0.764)	Data 0.001 (0.002)	Loss 1.9329 (1.8489)	Prec@1 51.562 (51.700)	Prec@5 80.469 (81.304)
Epoch: [69][8220/14090]	Time 0.728 (0.764)	Data 0.001 (0.002)	Loss 1.8142 (1.8489)	Prec@1 53.906 (51.701)	Prec@5 83.594 (81.304)
Epoch: [69][8230/14090]	Time 0.855 (0.764)	Data 0.001 (0.002)	Loss 1.9278 (1.8490)	Prec@1 49.219 (51.696)	Prec@5 80.469 (81.303)
Epoch: [69][8240/14090]	Time 0.734 (0.764)	Data 0.001 (0.002)	Loss 2.0965 (1.8489)	Prec@1 46.875 (51.698)	Prec@5 73.438 (81.304)
Epoch: [69][8250/14090]	Time 0.777 (0.764)	Data 0.001 (0.002)	Loss 1.7055 (1.8489)	Prec@1 50.000 (51.699)	Prec@5 84.375 (81.305)
Epoch: [69][8260/14090]	Time 0.725 (0.764)	Data 0.001 (0.002)	Loss 1.8597 (1.8490)	Prec@1 49.219 (51.697)	Prec@5 82.812 (81.303)
Epoch: [69][8270/14090]	Time 0.739 (0.764)	Data 0.001 (0.002)	Loss 1.6796 (1.8489)	Prec@1 55.469 (51.699)	Prec@5 82.812 (81.303)
Epoch: [69][8280/14090]	Time 0.749 (0.764)	Data 0.001 (0.002)	Loss 1.7875 (1.8490)	Prec@1 53.125 (51.697)	Prec@5 82.031 (81.300)
Epoch: [69][8290/14090]	Time 0.737 (0.764)	Data 0.001 (0.002)	Loss 2.0537 (1.8492)	Prec@1 49.219 (51.694)	Prec@5 77.344 (81.296)
Epoch: [69][8300/14090]	Time 0.872 (0.764)	Data 0.001 (0.002)	Loss 1.7936 (1.8492)	Prec@1 50.000 (51.693)	Prec@5 80.469 (81.295)
Epoch: [69][8310/14090]	Time 0.724 (0.764)	Data 0.001 (0.002)	Loss 2.0377 (1.8491)	Prec@1 49.219 (51.696)	Prec@5 75.781 (81.297)
Epoch: [69][8320/14090]	Time 0.746 (0.764)	Data 0.001 (0.002)	Loss 1.9724 (1.8492)	Prec@1 47.656 (51.695)	Prec@5 78.125 (81.297)
Epoch: [69][8330/14090]	Time 0.753 (0.764)	Data 0.001 (0.002)	Loss 1.8914 (1.8492)	Prec@1 54.688 (51.694)	Prec@5 79.688 (81.296)
Epoch: [69][8340/14090]	Time 0.771 (0.764)	Data 0.001 (0.002)	Loss 1.7460 (1.8492)	Prec@1 51.562 (51.692)	Prec@5 78.906 (81.296)
Epoch: [69][8350/14090]	Time 0.749 (0.764)	Data 0.001 (0.002)	Loss 1.6221 (1.8490)	Prec@1 56.250 (51.696)	Prec@5 86.719 (81.300)
Epoch: [69][8360/14090]	Time 0.727 (0.764)	Data 0.001 (0.002)	Loss 1.9431 (1.8491)	Prec@1 48.438 (51.693)	Prec@5 82.812 (81.299)
Epoch: [69][8370/14090]	Time 0.848 (0.764)	Data 0.001 (0.002)	Loss 1.6291 (1.8490)	Prec@1 60.938 (51.695)	Prec@5 83.594 (81.299)
Epoch: [69][8380/14090]	Time 0.762 (0.764)	Data 0.001 (0.002)	Loss 1.5766 (1.8490)	Prec@1 60.156 (51.694)	Prec@5 89.844 (81.300)
Epoch: [69][8390/14090]	Time 0.775 (0.764)	Data 0.001 (0.002)	Loss 1.8133 (1.8490)	Prec@1 52.344 (51.693)	Prec@5 79.688 (81.300)
Epoch: [69][8400/14090]	Time 0.723 (0.764)	Data 0.001 (0.002)	Loss 1.8313 (1.8490)	Prec@1 53.906 (51.696)	Prec@5 81.250 (81.302)
Epoch: [69][8410/14090]	Time 0.756 (0.764)	Data 0.001 (0.002)	Loss 1.8379 (1.8490)	Prec@1 50.781 (51.695)	Prec@5 81.250 (81.303)
Epoch: [69][8420/14090]	Time 0.756 (0.764)	Data 0.001 (0.002)	Loss 1.6895 (1.8489)	Prec@1 57.031 (51.696)	Prec@5 82.812 (81.303)
Epoch: [69][8430/14090]	Time 0.751 (0.764)	Data 0.001 (0.002)	Loss 1.7981 (1.8490)	Prec@1 61.719 (51.696)	Prec@5 78.906 (81.303)
Epoch: [69][8440/14090]	Time 0.910 (0.764)	Data 0.001 (0.002)	Loss 1.9791 (1.8490)	Prec@1 50.781 (51.699)	Prec@5 78.906 (81.304)
Epoch: [69][8450/14090]	Time 0.730 (0.764)	Data 0.001 (0.002)	Loss 1.6652 (1.8490)	Prec@1 57.031 (51.698)	Prec@5 81.250 (81.304)
Epoch: [69][8460/14090]	Time 0.748 (0.764)	Data 0.001 (0.002)	Loss 2.0482 (1.8491)	Prec@1 47.656 (51.696)	Prec@5 78.906 (81.302)
Epoch: [69][8470/14090]	Time 0.729 (0.764)	Data 0.001 (0.002)	Loss 1.7862 (1.8491)	Prec@1 50.000 (51.697)	Prec@5 80.469 (81.301)
Epoch: [69][8480/14090]	Time 0.728 (0.764)	Data 0.001 (0.002)	Loss 1.8129 (1.8491)	Prec@1 48.438 (51.696)	Prec@5 82.812 (81.300)
Epoch: [69][8490/14090]	Time 0.723 (0.764)	Data 0.001 (0.002)	Loss 1.8021 (1.8491)	Prec@1 50.000 (51.693)	Prec@5 85.156 (81.299)
Epoch: [69][8500/14090]	Time 0.757 (0.764)	Data 0.001 (0.002)	Loss 1.7068 (1.8491)	Prec@1 56.250 (51.693)	Prec@5 82.031 (81.300)
Epoch: [69][8510/14090]	Time 0.871 (0.764)	Data 0.001 (0.002)	Loss 1.7728 (1.8492)	Prec@1 55.469 (51.692)	Prec@5 79.688 (81.298)
Epoch: [69][8520/14090]	Time 0.751 (0.764)	Data 0.001 (0.002)	Loss 1.7155 (1.8492)	Prec@1 54.688 (51.692)	Prec@5 86.719 (81.301)
Epoch: [69][8530/14090]	Time 0.744 (0.764)	Data 0.001 (0.002)	Loss 1.9154 (1.8491)	Prec@1 47.656 (51.694)	Prec@5 80.469 (81.301)
Epoch: [69][8540/14090]	Time 0.734 (0.764)	Data 0.001 (0.002)	Loss 1.8284 (1.8491)	Prec@1 48.438 (51.694)	Prec@5 82.812 (81.303)
Epoch: [69][8550/14090]	Time 0.745 (0.764)	Data 0.001 (0.002)	Loss 1.9907 (1.8491)	Prec@1 46.094 (51.691)	Prec@5 78.125 (81.302)
Epoch: [69][8560/14090]	Time 0.751 (0.764)	Data 0.001 (0.002)	Loss 2.0268 (1.8492)	Prec@1 47.656 (51.689)	Prec@5 78.125 (81.302)
Epoch: [69][8570/14090]	Time 0.752 (0.764)	Data 0.001 (0.002)	Loss 1.8280 (1.8492)	Prec@1 55.469 (51.689)	Prec@5 82.031 (81.301)
Epoch: [69][8580/14090]	Time 0.892 (0.764)	Data 0.001 (0.002)	Loss 1.8521 (1.8492)	Prec@1 47.656 (51.688)	Prec@5 79.688 (81.302)
Epoch: [69][8590/14090]	Time 0.734 (0.764)	Data 0.001 (0.002)	Loss 1.8434 (1.8491)	Prec@1 53.125 (51.687)	Prec@5 82.812 (81.302)
Epoch: [69][8600/14090]	Time 0.736 (0.764)	Data 0.001 (0.002)	Loss 2.0750 (1.8492)	Prec@1 49.219 (51.686)	Prec@5 77.344 (81.303)
Epoch: [69][8610/14090]	Time 0.757 (0.764)	Data 0.001 (0.002)	Loss 2.1117 (1.8491)	Prec@1 46.875 (51.686)	Prec@5 79.688 (81.304)
Epoch: [69][8620/14090]	Time 0.750 (0.764)	Data 0.001 (0.002)	Loss 1.7016 (1.8491)	Prec@1 53.125 (51.685)	Prec@5 86.719 (81.305)
Epoch: [69][8630/14090]	Time 0.755 (0.764)	Data 0.001 (0.002)	Loss 1.7308 (1.8491)	Prec@1 53.906 (51.683)	Prec@5 85.156 (81.305)
Epoch: [69][8640/14090]	Time 0.754 (0.764)	Data 0.001 (0.002)	Loss 1.9727 (1.8491)	Prec@1 46.875 (51.684)	Prec@5 75.000 (81.304)
Epoch: [69][8650/14090]	Time 0.893 (0.764)	Data 0.001 (0.002)	Loss 1.7015 (1.8491)	Prec@1 53.125 (51.684)	Prec@5 85.938 (81.305)
Epoch: [69][8660/14090]	Time 0.772 (0.764)	Data 0.001 (0.002)	Loss 1.7683 (1.8491)	Prec@1 53.906 (51.683)	Prec@5 82.031 (81.304)
Epoch: [69][8670/14090]	Time 0.727 (0.764)	Data 0.001 (0.002)	Loss 2.0381 (1.8491)	Prec@1 49.219 (51.685)	Prec@5 74.219 (81.305)
Epoch: [69][8680/14090]	Time 0.724 (0.764)	Data 0.001 (0.002)	Loss 1.9895 (1.8491)	Prec@1 46.875 (51.685)	Prec@5 85.156 (81.305)
Epoch: [69][8690/14090]	Time 0.726 (0.764)	Data 0.001 (0.002)	Loss 1.9006 (1.8491)	Prec@1 46.094 (51.684)	Prec@5 82.031 (81.304)
Epoch: [69][8700/14090]	Time 0.758 (0.764)	Data 0.001 (0.002)	Loss 1.8055 (1.8492)	Prec@1 49.219 (51.683)	Prec@5 82.031 (81.303)
Epoch: [69][8710/14090]	Time 0.762 (0.764)	Data 0.001 (0.002)	Loss 1.7357 (1.8491)	Prec@1 57.812 (51.685)	Prec@5 79.688 (81.305)
Epoch: [69][8720/14090]	Time 0.833 (0.764)	Data 0.001 (0.002)	Loss 1.9704 (1.8491)	Prec@1 50.781 (51.685)	Prec@5 78.906 (81.306)
Epoch: [69][8730/14090]	Time 0.728 (0.764)	Data 0.001 (0.002)	Loss 1.7372 (1.8490)	Prec@1 53.125 (51.685)	Prec@5 83.594 (81.306)
Epoch: [69][8740/14090]	Time 0.727 (0.764)	Data 0.001 (0.002)	Loss 1.8349 (1.8491)	Prec@1 53.125 (51.683)	Prec@5 83.594 (81.305)
Epoch: [69][8750/14090]	Time 0.736 (0.764)	Data 0.001 (0.002)	Loss 1.8115 (1.8492)	Prec@1 53.125 (51.682)	Prec@5 80.469 (81.304)
Epoch: [69][8760/14090]	Time 0.737 (0.764)	Data 0.001 (0.002)	Loss 1.9000 (1.8491)	Prec@1 51.562 (51.683)	Prec@5 80.469 (81.307)
Epoch: [69][8770/14090]	Time 0.752 (0.764)	Data 0.001 (0.002)	Loss 2.1329 (1.8490)	Prec@1 46.094 (51.686)	Prec@5 79.688 (81.308)
Epoch: [69][8780/14090]	Time 0.736 (0.764)	Data 0.001 (0.002)	Loss 1.7870 (1.8490)	Prec@1 58.594 (51.688)	Prec@5 84.375 (81.307)
Epoch: [69][8790/14090]	Time 0.869 (0.764)	Data 0.001 (0.002)	Loss 2.0574 (1.8490)	Prec@1 44.531 (51.686)	Prec@5 78.906 (81.306)
Epoch: [69][8800/14090]	Time 0.753 (0.764)	Data 0.001 (0.002)	Loss 2.1093 (1.8491)	Prec@1 42.969 (51.683)	Prec@5 76.562 (81.305)
Epoch: [69][8810/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 1.8405 (1.8491)	Prec@1 50.000 (51.683)	Prec@5 80.469 (81.304)
Epoch: [69][8820/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 1.8769 (1.8492)	Prec@1 46.094 (51.681)	Prec@5 85.156 (81.304)
Epoch: [69][8830/14090]	Time 0.725 (0.764)	Data 0.001 (0.001)	Loss 2.0736 (1.8492)	Prec@1 44.531 (51.681)	Prec@5 78.906 (81.305)
Epoch: [69][8840/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 1.9527 (1.8492)	Prec@1 50.781 (51.679)	Prec@5 77.344 (81.304)
Epoch: [69][8850/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 1.7658 (1.8492)	Prec@1 56.250 (51.681)	Prec@5 80.469 (81.304)
Epoch: [69][8860/14090]	Time 0.857 (0.764)	Data 0.001 (0.001)	Loss 1.8743 (1.8492)	Prec@1 52.344 (51.681)	Prec@5 78.906 (81.304)
Epoch: [69][8870/14090]	Time 0.729 (0.764)	Data 0.001 (0.001)	Loss 1.9037 (1.8493)	Prec@1 53.906 (51.679)	Prec@5 77.344 (81.304)
Epoch: [69][8880/14090]	Time 0.732 (0.764)	Data 0.001 (0.001)	Loss 1.7877 (1.8493)	Prec@1 51.562 (51.680)	Prec@5 81.250 (81.303)
Epoch: [69][8890/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 2.1333 (1.8493)	Prec@1 46.094 (51.678)	Prec@5 71.094 (81.302)
Epoch: [69][8900/14090]	Time 0.727 (0.764)	Data 0.001 (0.001)	Loss 1.7982 (1.8493)	Prec@1 49.219 (51.676)	Prec@5 80.469 (81.301)
Epoch: [69][8910/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 1.8377 (1.8493)	Prec@1 53.125 (51.677)	Prec@5 82.031 (81.303)
Epoch: [69][8920/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 1.9640 (1.8493)	Prec@1 49.219 (51.675)	Prec@5 82.812 (81.305)
Epoch: [69][8930/14090]	Time 0.862 (0.764)	Data 0.001 (0.001)	Loss 2.1156 (1.8493)	Prec@1 46.875 (51.675)	Prec@5 77.344 (81.304)
Epoch: [69][8940/14090]	Time 0.770 (0.764)	Data 0.001 (0.001)	Loss 1.5810 (1.8492)	Prec@1 53.906 (51.677)	Prec@5 86.719 (81.307)
Epoch: [69][8950/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 2.0382 (1.8492)	Prec@1 46.875 (51.677)	Prec@5 78.125 (81.308)
Epoch: [69][8960/14090]	Time 0.761 (0.764)	Data 0.001 (0.001)	Loss 2.0085 (1.8492)	Prec@1 46.875 (51.675)	Prec@5 80.469 (81.306)
Epoch: [69][8970/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 1.8103 (1.8492)	Prec@1 48.438 (51.674)	Prec@5 83.594 (81.307)
Epoch: [69][8980/14090]	Time 0.766 (0.764)	Data 0.001 (0.001)	Loss 1.7495 (1.8492)	Prec@1 51.562 (51.674)	Prec@5 86.719 (81.309)
Epoch: [69][8990/14090]	Time 0.723 (0.764)	Data 0.001 (0.001)	Loss 1.9128 (1.8492)	Prec@1 55.469 (51.674)	Prec@5 78.906 (81.308)
Epoch: [69][9000/14090]	Time 0.868 (0.764)	Data 0.001 (0.001)	Loss 1.8221 (1.8492)	Prec@1 49.219 (51.674)	Prec@5 82.031 (81.308)
Epoch: [69][9010/14090]	Time 0.725 (0.764)	Data 0.001 (0.001)	Loss 1.9496 (1.8491)	Prec@1 50.000 (51.675)	Prec@5 78.125 (81.308)
Epoch: [69][9020/14090]	Time 0.725 (0.764)	Data 0.001 (0.001)	Loss 1.7889 (1.8491)	Prec@1 53.125 (51.676)	Prec@5 80.469 (81.310)
Epoch: [69][9030/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 1.9459 (1.8491)	Prec@1 50.781 (51.676)	Prec@5 79.688 (81.309)
Epoch: [69][9040/14090]	Time 0.724 (0.764)	Data 0.001 (0.001)	Loss 1.7976 (1.8491)	Prec@1 54.688 (51.678)	Prec@5 78.906 (81.310)
Epoch: [69][9050/14090]	Time 0.721 (0.764)	Data 0.001 (0.001)	Loss 1.7195 (1.8491)	Prec@1 60.156 (51.679)	Prec@5 81.250 (81.310)
Epoch: [69][9060/14090]	Time 0.763 (0.764)	Data 0.001 (0.001)	Loss 1.6467 (1.8490)	Prec@1 57.812 (51.680)	Prec@5 82.812 (81.309)
Epoch: [69][9070/14090]	Time 0.813 (0.764)	Data 0.001 (0.001)	Loss 1.8280 (1.8490)	Prec@1 50.000 (51.680)	Prec@5 82.031 (81.310)
Epoch: [69][9080/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 1.6995 (1.8490)	Prec@1 57.031 (51.681)	Prec@5 85.156 (81.310)
Epoch: [69][9090/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 1.6502 (1.8490)	Prec@1 57.812 (51.681)	Prec@5 88.281 (81.309)
Epoch: [69][9100/14090]	Time 0.727 (0.764)	Data 0.001 (0.001)	Loss 2.1790 (1.8492)	Prec@1 50.000 (51.678)	Prec@5 75.781 (81.307)
Epoch: [69][9110/14090]	Time 0.746 (0.764)	Data 0.001 (0.001)	Loss 1.6942 (1.8491)	Prec@1 53.906 (51.679)	Prec@5 88.281 (81.309)
Epoch: [69][9120/14090]	Time 0.776 (0.764)	Data 0.001 (0.001)	Loss 2.0846 (1.8492)	Prec@1 45.312 (51.679)	Prec@5 72.656 (81.307)
Epoch: [69][9130/14090]	Time 0.761 (0.764)	Data 0.001 (0.001)	Loss 1.6605 (1.8491)	Prec@1 57.812 (51.682)	Prec@5 82.812 (81.310)
Epoch: [69][9140/14090]	Time 0.858 (0.764)	Data 0.001 (0.001)	Loss 1.7408 (1.8491)	Prec@1 53.125 (51.681)	Prec@5 81.250 (81.309)
Epoch: [69][9150/14090]	Time 0.730 (0.764)	Data 0.001 (0.001)	Loss 1.7937 (1.8491)	Prec@1 54.688 (51.683)	Prec@5 79.688 (81.311)
Epoch: [69][9160/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 1.8442 (1.8490)	Prec@1 51.562 (51.683)	Prec@5 82.031 (81.312)
Epoch: [69][9170/14090]	Time 0.769 (0.764)	Data 0.001 (0.001)	Loss 1.5761 (1.8490)	Prec@1 60.938 (51.684)	Prec@5 85.156 (81.312)
Epoch: [69][9180/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 2.0381 (1.8490)	Prec@1 50.000 (51.686)	Prec@5 80.469 (81.313)
Epoch: [69][9190/14090]	Time 0.745 (0.764)	Data 0.001 (0.001)	Loss 2.1644 (1.8490)	Prec@1 45.312 (51.684)	Prec@5 71.094 (81.313)
Epoch: [69][9200/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 1.8447 (1.8490)	Prec@1 53.906 (51.685)	Prec@5 79.688 (81.312)
Epoch: [69][9210/14090]	Time 0.815 (0.763)	Data 0.001 (0.001)	Loss 1.9976 (1.8491)	Prec@1 47.656 (51.683)	Prec@5 77.344 (81.312)
Epoch: [69][9220/14090]	Time 0.741 (0.763)	Data 0.001 (0.001)	Loss 1.7219 (1.8490)	Prec@1 55.469 (51.687)	Prec@5 85.156 (81.314)
Epoch: [69][9230/14090]	Time 0.741 (0.763)	Data 0.001 (0.001)	Loss 1.7062 (1.8490)	Prec@1 53.125 (51.687)	Prec@5 85.156 (81.315)
Epoch: [69][9240/14090]	Time 0.762 (0.763)	Data 0.001 (0.001)	Loss 1.8094 (1.8491)	Prec@1 54.688 (51.685)	Prec@5 80.469 (81.314)
Epoch: [69][9250/14090]	Time 0.721 (0.763)	Data 0.001 (0.001)	Loss 1.5199 (1.8491)	Prec@1 57.812 (51.684)	Prec@5 85.938 (81.313)
Epoch: [69][9260/14090]	Time 0.752 (0.763)	Data 0.001 (0.001)	Loss 1.8251 (1.8491)	Prec@1 51.562 (51.682)	Prec@5 82.812 (81.312)
Epoch: [69][9270/14090]	Time 0.734 (0.763)	Data 0.001 (0.001)	Loss 1.8040 (1.8491)	Prec@1 51.562 (51.684)	Prec@5 77.344 (81.312)
Epoch: [69][9280/14090]	Time 0.864 (0.763)	Data 0.001 (0.001)	Loss 1.7798 (1.8490)	Prec@1 50.000 (51.684)	Prec@5 79.688 (81.312)
Epoch: [69][9290/14090]	Time 0.734 (0.763)	Data 0.000 (0.001)	Loss 1.9465 (1.8491)	Prec@1 46.875 (51.681)	Prec@5 79.688 (81.310)
Epoch: [69][9300/14090]	Time 0.750 (0.763)	Data 0.001 (0.001)	Loss 1.9656 (1.8491)	Prec@1 49.219 (51.681)	Prec@5 81.250 (81.310)
Epoch: [69][9310/14090]	Time 0.751 (0.763)	Data 0.001 (0.001)	Loss 2.0641 (1.8491)	Prec@1 45.312 (51.682)	Prec@5 76.562 (81.311)
Epoch: [69][9320/14090]	Time 0.730 (0.763)	Data 0.001 (0.001)	Loss 1.8918 (1.8491)	Prec@1 48.438 (51.681)	Prec@5 78.906 (81.310)
Epoch: [69][9330/14090]	Time 0.755 (0.763)	Data 0.001 (0.001)	Loss 1.7033 (1.8491)	Prec@1 54.688 (51.681)	Prec@5 82.812 (81.311)
Epoch: [69][9340/14090]	Time 0.725 (0.764)	Data 0.002 (0.002)	Loss 1.6828 (1.8491)	Prec@1 55.469 (51.681)	Prec@5 80.469 (81.311)
Epoch: [69][9350/14090]	Time 0.887 (0.764)	Data 0.001 (0.002)	Loss 1.7306 (1.8491)	Prec@1 49.219 (51.681)	Prec@5 84.375 (81.312)
Epoch: [69][9360/14090]	Time 0.734 (0.764)	Data 0.001 (0.002)	Loss 1.8093 (1.8491)	Prec@1 52.344 (51.682)	Prec@5 77.344 (81.312)
Epoch: [69][9370/14090]	Time 0.737 (0.764)	Data 0.001 (0.002)	Loss 1.9589 (1.8491)	Prec@1 54.688 (51.681)	Prec@5 82.812 (81.311)
Epoch: [69][9380/14090]	Time 1.576 (0.764)	Data 0.843 (0.002)	Loss 1.7267 (1.8491)	Prec@1 50.000 (51.681)	Prec@5 86.719 (81.312)
Epoch: [69][9390/14090]	Time 0.727 (0.764)	Data 0.001 (0.002)	Loss 1.5625 (1.8491)	Prec@1 59.375 (51.681)	Prec@5 82.812 (81.312)
Epoch: [69][9400/14090]	Time 1.045 (0.764)	Data 0.347 (0.002)	Loss 2.0607 (1.8490)	Prec@1 47.656 (51.683)	Prec@5 73.438 (81.311)
Epoch: [69][9410/14090]	Time 0.736 (0.764)	Data 0.001 (0.002)	Loss 1.7533 (1.8491)	Prec@1 54.688 (51.682)	Prec@5 83.594 (81.311)
Epoch: [69][9420/14090]	Time 0.893 (0.764)	Data 0.001 (0.002)	Loss 1.9224 (1.8491)	Prec@1 53.125 (51.680)	Prec@5 81.250 (81.309)
Epoch: [69][9430/14090]	Time 0.734 (0.764)	Data 0.001 (0.002)	Loss 1.8938 (1.8491)	Prec@1 57.031 (51.681)	Prec@5 74.219 (81.308)
Epoch: [69][9440/14090]	Time 0.864 (0.764)	Data 0.158 (0.002)	Loss 1.8453 (1.8492)	Prec@1 50.000 (51.680)	Prec@5 83.594 (81.308)
Epoch: [69][9450/14090]	Time 0.732 (0.764)	Data 0.001 (0.002)	Loss 1.9696 (1.8491)	Prec@1 41.406 (51.680)	Prec@5 78.125 (81.309)
Epoch: [69][9460/14090]	Time 0.748 (0.764)	Data 0.001 (0.002)	Loss 2.1053 (1.8492)	Prec@1 47.656 (51.678)	Prec@5 74.219 (81.308)
Epoch: [69][9470/14090]	Time 0.733 (0.764)	Data 0.001 (0.002)	Loss 1.7869 (1.8491)	Prec@1 57.812 (51.679)	Prec@5 85.938 (81.311)
Epoch: [69][9480/14090]	Time 0.737 (0.764)	Data 0.001 (0.002)	Loss 1.8989 (1.8491)	Prec@1 46.094 (51.680)	Prec@5 80.469 (81.311)
Epoch: [69][9490/14090]	Time 0.874 (0.764)	Data 0.001 (0.002)	Loss 1.7530 (1.8491)	Prec@1 47.656 (51.679)	Prec@5 79.688 (81.310)
Epoch: [69][9500/14090]	Time 0.734 (0.764)	Data 0.001 (0.003)	Loss 1.8586 (1.8491)	Prec@1 55.469 (51.679)	Prec@5 82.812 (81.308)
Epoch: [69][9510/14090]	Time 0.935 (0.764)	Data 0.242 (0.003)	Loss 1.9532 (1.8492)	Prec@1 46.094 (51.680)	Prec@5 80.469 (81.309)
Epoch: [69][9520/14090]	Time 0.729 (0.765)	Data 0.001 (0.003)	Loss 2.1016 (1.8492)	Prec@1 51.562 (51.677)	Prec@5 78.906 (81.308)
Epoch: [69][9530/14090]	Time 0.751 (0.765)	Data 0.001 (0.003)	Loss 1.7847 (1.8492)	Prec@1 51.562 (51.676)	Prec@5 82.031 (81.307)
Epoch: [69][9540/14090]	Time 0.757 (0.765)	Data 0.001 (0.003)	Loss 1.6688 (1.8492)	Prec@1 51.562 (51.675)	Prec@5 84.375 (81.306)
Epoch: [69][9550/14090]	Time 0.750 (0.765)	Data 0.001 (0.003)	Loss 2.2826 (1.8492)	Prec@1 35.938 (51.675)	Prec@5 76.562 (81.306)
Epoch: [69][9560/14090]	Time 1.349 (0.765)	Data 0.503 (0.003)	Loss 2.0108 (1.8493)	Prec@1 42.188 (51.675)	Prec@5 78.906 (81.305)
Epoch: [69][9570/14090]	Time 0.754 (0.765)	Data 0.001 (0.003)	Loss 1.8944 (1.8493)	Prec@1 49.219 (51.675)	Prec@5 78.906 (81.304)
Epoch: [69][9580/14090]	Time 0.748 (0.765)	Data 0.001 (0.004)	Loss 1.7608 (1.8493)	Prec@1 52.344 (51.675)	Prec@5 82.031 (81.305)
Epoch: [69][9590/14090]	Time 0.741 (0.765)	Data 0.038 (0.004)	Loss 1.6773 (1.8492)	Prec@1 53.125 (51.678)	Prec@5 82.031 (81.307)
Epoch: [69][9600/14090]	Time 0.738 (0.765)	Data 0.001 (0.004)	Loss 1.9546 (1.8491)	Prec@1 47.656 (51.679)	Prec@5 80.469 (81.309)
Epoch: [69][9610/14090]	Time 0.758 (0.765)	Data 0.001 (0.004)	Loss 1.6262 (1.8490)	Prec@1 57.031 (51.680)	Prec@5 89.062 (81.312)
Epoch: [69][9620/14090]	Time 0.749 (0.765)	Data 0.001 (0.004)	Loss 1.6597 (1.8490)	Prec@1 57.812 (51.682)	Prec@5 85.938 (81.312)
Epoch: [69][9630/14090]	Time 0.886 (0.765)	Data 0.001 (0.004)	Loss 1.9429 (1.8490)	Prec@1 46.875 (51.681)	Prec@5 81.250 (81.311)
Epoch: [69][9640/14090]	Time 0.735 (0.766)	Data 0.001 (0.004)	Loss 1.6372 (1.8490)	Prec@1 52.344 (51.682)	Prec@5 83.594 (81.311)
Epoch: [69][9650/14090]	Time 0.735 (0.766)	Data 0.001 (0.004)	Loss 1.8855 (1.8490)	Prec@1 50.781 (51.682)	Prec@5 82.812 (81.311)
Epoch: [69][9660/14090]	Time 0.863 (0.766)	Data 0.147 (0.004)	Loss 1.9487 (1.8491)	Prec@1 52.344 (51.680)	Prec@5 77.344 (81.307)
Epoch: [69][9670/14090]	Time 0.742 (0.766)	Data 0.001 (0.004)	Loss 1.9557 (1.8491)	Prec@1 47.656 (51.679)	Prec@5 79.688 (81.308)
Epoch: [69][9680/14090]	Time 0.750 (0.766)	Data 0.001 (0.004)	Loss 1.8917 (1.8492)	Prec@1 51.562 (51.678)	Prec@5 82.031 (81.307)
Epoch: [69][9690/14090]	Time 0.733 (0.766)	Data 0.001 (0.005)	Loss 2.1627 (1.8492)	Prec@1 42.969 (51.677)	Prec@5 78.125 (81.307)
Epoch: [69][9700/14090]	Time 0.860 (0.766)	Data 0.001 (0.005)	Loss 2.1139 (1.8492)	Prec@1 42.188 (51.675)	Prec@5 76.562 (81.307)
Epoch: [69][9710/14090]	Time 0.750 (0.767)	Data 0.001 (0.005)	Loss 1.9478 (1.8492)	Prec@1 48.438 (51.674)	Prec@5 77.344 (81.308)
Epoch: [69][9720/14090]	Time 0.726 (0.767)	Data 0.001 (0.005)	Loss 2.0207 (1.8492)	Prec@1 43.750 (51.676)	Prec@5 77.344 (81.308)
Epoch: [69][9730/14090]	Time 0.735 (0.767)	Data 0.001 (0.005)	Loss 1.9672 (1.8492)	Prec@1 47.656 (51.675)	Prec@5 78.906 (81.308)
Epoch: [69][9740/14090]	Time 0.724 (0.767)	Data 0.001 (0.005)	Loss 1.8261 (1.8492)	Prec@1 53.125 (51.674)	Prec@5 83.594 (81.308)
Epoch: [69][9750/14090]	Time 1.449 (0.767)	Data 0.723 (0.005)	Loss 1.6662 (1.8491)	Prec@1 53.125 (51.675)	Prec@5 83.594 (81.309)
Epoch: [69][9760/14090]	Time 0.740 (0.767)	Data 0.001 (0.005)	Loss 1.8697 (1.8492)	Prec@1 53.125 (51.673)	Prec@5 84.375 (81.310)
Epoch: [69][9770/14090]	Time 0.832 (0.767)	Data 0.001 (0.006)	Loss 1.7200 (1.8492)	Prec@1 54.688 (51.671)	Prec@5 88.281 (81.311)
Epoch: [69][9780/14090]	Time 0.743 (0.767)	Data 0.001 (0.006)	Loss 2.1245 (1.8492)	Prec@1 50.000 (51.673)	Prec@5 74.219 (81.310)
Epoch: [69][9790/14090]	Time 0.738 (0.767)	Data 0.022 (0.006)	Loss 1.7560 (1.8492)	Prec@1 51.562 (51.673)	Prec@5 83.594 (81.310)
Epoch: [69][9800/14090]	Time 2.076 (0.768)	Data 1.343 (0.006)	Loss 1.6542 (1.8491)	Prec@1 58.594 (51.677)	Prec@5 83.594 (81.311)
Epoch: [69][9810/14090]	Time 0.720 (0.768)	Data 0.001 (0.006)	Loss 1.4350 (1.8491)	Prec@1 64.844 (51.678)	Prec@5 89.062 (81.312)
Epoch: [69][9820/14090]	Time 0.751 (0.768)	Data 0.001 (0.006)	Loss 1.7753 (1.8491)	Prec@1 53.906 (51.676)	Prec@5 80.469 (81.311)
Epoch: [69][9830/14090]	Time 1.100 (0.768)	Data 0.385 (0.006)	Loss 1.6345 (1.8491)	Prec@1 58.594 (51.675)	Prec@5 84.375 (81.311)
Epoch: [69][9840/14090]	Time 0.872 (0.768)	Data 0.001 (0.006)	Loss 1.5509 (1.8491)	Prec@1 56.250 (51.675)	Prec@5 83.594 (81.311)
Epoch: [69][9850/14090]	Time 0.739 (0.768)	Data 0.001 (0.007)	Loss 1.7440 (1.8490)	Prec@1 54.688 (51.676)	Prec@5 81.250 (81.312)
Epoch: [69][9860/14090]	Time 0.773 (0.768)	Data 0.001 (0.007)	Loss 1.9832 (1.8490)	Prec@1 47.656 (51.677)	Prec@5 77.344 (81.311)
Epoch: [69][9870/14090]	Time 0.747 (0.768)	Data 0.001 (0.007)	Loss 2.0796 (1.8491)	Prec@1 48.438 (51.677)	Prec@5 80.469 (81.310)
Epoch: [69][9880/14090]	Time 0.726 (0.768)	Data 0.001 (0.007)	Loss 1.6274 (1.8491)	Prec@1 55.469 (51.677)	Prec@5 85.938 (81.308)
Epoch: [69][9890/14090]	Time 0.722 (0.768)	Data 0.001 (0.007)	Loss 1.6334 (1.8491)	Prec@1 50.781 (51.675)	Prec@5 85.156 (81.307)
Epoch: [69][9900/14090]	Time 0.758 (0.768)	Data 0.001 (0.007)	Loss 1.9776 (1.8492)	Prec@1 50.000 (51.674)	Prec@5 79.688 (81.307)
Epoch: [69][9910/14090]	Time 0.859 (0.768)	Data 0.001 (0.007)	Loss 1.8030 (1.8492)	Prec@1 50.781 (51.674)	Prec@5 84.375 (81.308)
Epoch: [69][9920/14090]	Time 0.734 (0.768)	Data 0.001 (0.007)	Loss 1.9184 (1.8491)	Prec@1 51.562 (51.674)	Prec@5 79.688 (81.309)
Epoch: [69][9930/14090]	Time 0.746 (0.768)	Data 0.001 (0.007)	Loss 1.9599 (1.8492)	Prec@1 46.094 (51.673)	Prec@5 78.906 (81.307)
Epoch: [69][9940/14090]	Time 0.769 (0.768)	Data 0.001 (0.007)	Loss 1.7852 (1.8492)	Prec@1 48.438 (51.673)	Prec@5 82.031 (81.308)
Epoch: [69][9950/14090]	Time 0.748 (0.768)	Data 0.001 (0.007)	Loss 1.8338 (1.8491)	Prec@1 46.875 (51.674)	Prec@5 82.812 (81.308)
Epoch: [69][9960/14090]	Time 0.749 (0.768)	Data 0.001 (0.007)	Loss 1.9881 (1.8491)	Prec@1 53.125 (51.675)	Prec@5 77.344 (81.309)
Epoch: [69][9970/14090]	Time 0.762 (0.768)	Data 0.000 (0.007)	Loss 1.9013 (1.8491)	Prec@1 50.781 (51.676)	Prec@5 81.250 (81.309)
Epoch: [69][9980/14090]	Time 0.860 (0.768)	Data 0.001 (0.007)	Loss 1.9555 (1.8492)	Prec@1 48.438 (51.673)	Prec@5 82.812 (81.307)
Epoch: [69][9990/14090]	Time 0.737 (0.768)	Data 0.001 (0.007)	Loss 1.9982 (1.8493)	Prec@1 48.438 (51.672)	Prec@5 78.125 (81.308)
Epoch: [69][10000/14090]	Time 0.749 (0.768)	Data 0.001 (0.006)	Loss 1.8768 (1.8493)	Prec@1 54.688 (51.673)	Prec@5 81.250 (81.306)
Epoch: [69][10010/14090]	Time 0.730 (0.768)	Data 0.001 (0.006)	Loss 1.8463 (1.8493)	Prec@1 50.000 (51.675)	Prec@5 82.812 (81.305)
Epoch: [69][10020/14090]	Time 0.739 (0.768)	Data 0.001 (0.006)	Loss 1.9552 (1.8493)	Prec@1 50.000 (51.675)	Prec@5 82.031 (81.304)
Epoch: [69][10030/14090]	Time 0.746 (0.768)	Data 0.001 (0.006)	Loss 2.0241 (1.8493)	Prec@1 46.094 (51.672)	Prec@5 73.438 (81.303)
Epoch: [69][10040/14090]	Time 0.726 (0.768)	Data 0.001 (0.006)	Loss 2.1056 (1.8493)	Prec@1 44.531 (51.671)	Prec@5 76.562 (81.304)
Epoch: [69][10050/14090]	Time 0.871 (0.768)	Data 0.001 (0.006)	Loss 1.8611 (1.8494)	Prec@1 54.688 (51.672)	Prec@5 76.562 (81.303)
Epoch: [69][10060/14090]	Time 0.755 (0.768)	Data 0.001 (0.006)	Loss 1.7248 (1.8494)	Prec@1 52.344 (51.671)	Prec@5 84.375 (81.302)
Epoch: [69][10070/14090]	Time 0.759 (0.768)	Data 0.001 (0.006)	Loss 1.3956 (1.8493)	Prec@1 64.844 (51.673)	Prec@5 87.500 (81.303)
Epoch: [69][10080/14090]	Time 0.744 (0.768)	Data 0.001 (0.006)	Loss 1.8581 (1.8493)	Prec@1 52.344 (51.672)	Prec@5 80.469 (81.303)
Epoch: [69][10090/14090]	Time 0.741 (0.768)	Data 0.001 (0.006)	Loss 1.8474 (1.8493)	Prec@1 51.562 (51.672)	Prec@5 87.500 (81.305)
Epoch: [69][10100/14090]	Time 0.756 (0.768)	Data 0.001 (0.006)	Loss 1.7793 (1.8494)	Prec@1 56.250 (51.671)	Prec@5 84.375 (81.303)
Epoch: [69][10110/14090]	Time 0.722 (0.768)	Data 0.001 (0.007)	Loss 1.8059 (1.8494)	Prec@1 54.688 (51.672)	Prec@5 82.031 (81.302)
Epoch: [69][10120/14090]	Time 0.872 (0.768)	Data 0.001 (0.007)	Loss 1.8230 (1.8495)	Prec@1 54.688 (51.672)	Prec@5 79.688 (81.299)
Epoch: [69][10130/14090]	Time 0.758 (0.768)	Data 0.001 (0.007)	Loss 1.8477 (1.8495)	Prec@1 47.656 (51.671)	Prec@5 79.688 (81.299)
Epoch: [69][10140/14090]	Time 0.724 (0.768)	Data 0.001 (0.007)	Loss 1.8824 (1.8495)	Prec@1 46.875 (51.672)	Prec@5 82.031 (81.299)
Epoch: [69][10150/14090]	Time 0.749 (0.768)	Data 0.001 (0.007)	Loss 1.8629 (1.8494)	Prec@1 49.219 (51.674)	Prec@5 81.250 (81.299)
Epoch: [69][10160/14090]	Time 0.726 (0.768)	Data 0.001 (0.007)	Loss 2.0729 (1.8495)	Prec@1 50.000 (51.675)	Prec@5 78.125 (81.299)
Epoch: [69][10170/14090]	Time 0.751 (0.768)	Data 0.001 (0.007)	Loss 1.6755 (1.8494)	Prec@1 59.375 (51.676)	Prec@5 85.156 (81.301)
Epoch: [69][10180/14090]	Time 0.751 (0.768)	Data 0.001 (0.007)	Loss 1.7339 (1.8494)	Prec@1 56.250 (51.676)	Prec@5 82.031 (81.301)
Epoch: [69][10190/14090]	Time 0.876 (0.768)	Data 0.001 (0.007)	Loss 1.9308 (1.8495)	Prec@1 47.656 (51.674)	Prec@5 78.906 (81.299)
Epoch: [69][10200/14090]	Time 0.739 (0.768)	Data 0.001 (0.007)	Loss 1.8908 (1.8495)	Prec@1 51.562 (51.674)	Prec@5 79.688 (81.299)
Epoch: [69][10210/14090]	Time 0.727 (0.768)	Data 0.001 (0.007)	Loss 1.9524 (1.8495)	Prec@1 43.750 (51.672)	Prec@5 78.125 (81.298)
Epoch: [69][10220/14090]	Time 0.751 (0.768)	Data 0.001 (0.007)	Loss 1.8942 (1.8495)	Prec@1 44.531 (51.671)	Prec@5 79.688 (81.298)
Epoch: [69][10230/14090]	Time 0.727 (0.768)	Data 0.001 (0.007)	Loss 1.7988 (1.8496)	Prec@1 52.344 (51.668)	Prec@5 80.469 (81.296)
Epoch: [69][10240/14090]	Time 0.725 (0.768)	Data 0.001 (0.007)	Loss 2.0044 (1.8497)	Prec@1 48.438 (51.667)	Prec@5 77.344 (81.295)
Epoch: [69][10250/14090]	Time 0.723 (0.768)	Data 0.001 (0.007)	Loss 2.1805 (1.8496)	Prec@1 52.344 (51.669)	Prec@5 74.219 (81.295)
Epoch: [69][10260/14090]	Time 0.860 (0.768)	Data 0.001 (0.007)	Loss 1.9907 (1.8496)	Prec@1 46.875 (51.669)	Prec@5 77.344 (81.295)
Epoch: [69][10270/14090]	Time 0.726 (0.768)	Data 0.001 (0.007)	Loss 1.8118 (1.8497)	Prec@1 50.000 (51.668)	Prec@5 83.594 (81.296)
Epoch: [69][10280/14090]	Time 0.732 (0.768)	Data 0.001 (0.007)	Loss 1.9416 (1.8497)	Prec@1 52.344 (51.666)	Prec@5 80.469 (81.295)
Epoch: [69][10290/14090]	Time 0.741 (0.768)	Data 0.001 (0.007)	Loss 1.9592 (1.8498)	Prec@1 51.562 (51.665)	Prec@5 77.344 (81.294)
Epoch: [69][10300/14090]	Time 0.725 (0.768)	Data 0.001 (0.007)	Loss 1.9070 (1.8499)	Prec@1 48.438 (51.663)	Prec@5 78.906 (81.292)
Epoch: [69][10310/14090]	Time 0.754 (0.768)	Data 0.001 (0.007)	Loss 2.0176 (1.8499)	Prec@1 46.875 (51.662)	Prec@5 76.562 (81.291)
Epoch: [69][10320/14090]	Time 0.772 (0.768)	Data 0.001 (0.007)	Loss 1.7946 (1.8499)	Prec@1 51.562 (51.662)	Prec@5 82.031 (81.292)
Epoch: [69][10330/14090]	Time 0.839 (0.768)	Data 0.001 (0.007)	Loss 1.6565 (1.8499)	Prec@1 51.562 (51.662)	Prec@5 83.594 (81.291)
Epoch: [69][10340/14090]	Time 0.732 (0.768)	Data 0.001 (0.007)	Loss 2.0444 (1.8500)	Prec@1 51.562 (51.661)	Prec@5 78.906 (81.291)
Epoch: [69][10350/14090]	Time 0.724 (0.768)	Data 0.001 (0.007)	Loss 1.7874 (1.8500)	Prec@1 52.344 (51.660)	Prec@5 85.938 (81.290)
Epoch: [69][10360/14090]	Time 0.766 (0.768)	Data 0.001 (0.007)	Loss 1.8670 (1.8501)	Prec@1 53.906 (51.659)	Prec@5 80.469 (81.288)
Epoch: [69][10370/14090]	Time 0.718 (0.768)	Data 0.001 (0.007)	Loss 1.5814 (1.8501)	Prec@1 53.906 (51.659)	Prec@5 88.281 (81.289)
Epoch: [69][10380/14090]	Time 0.752 (0.768)	Data 0.001 (0.007)	Loss 2.0660 (1.8500)	Prec@1 46.094 (51.661)	Prec@5 78.906 (81.290)
Epoch: [69][10390/14090]	Time 0.762 (0.768)	Data 0.001 (0.007)	Loss 2.2490 (1.8500)	Prec@1 47.656 (51.662)	Prec@5 76.562 (81.290)
Epoch: [69][10400/14090]	Time 0.833 (0.768)	Data 0.001 (0.007)	Loss 2.0290 (1.8500)	Prec@1 50.000 (51.662)	Prec@5 75.781 (81.289)
Epoch: [69][10410/14090]	Time 0.768 (0.768)	Data 0.001 (0.007)	Loss 1.6956 (1.8500)	Prec@1 50.781 (51.661)	Prec@5 84.375 (81.289)
Epoch: [69][10420/14090]	Time 0.773 (0.768)	Data 0.001 (0.007)	Loss 1.7928 (1.8500)	Prec@1 54.688 (51.661)	Prec@5 82.812 (81.289)
Epoch: [69][10430/14090]	Time 0.748 (0.768)	Data 0.001 (0.007)	Loss 1.7868 (1.8501)	Prec@1 50.000 (51.658)	Prec@5 86.719 (81.288)
Epoch: [69][10440/14090]	Time 0.735 (0.768)	Data 0.001 (0.007)	Loss 1.7820 (1.8502)	Prec@1 53.125 (51.657)	Prec@5 82.812 (81.286)
Epoch: [69][10450/14090]	Time 0.745 (0.768)	Data 0.001 (0.007)	Loss 1.7317 (1.8503)	Prec@1 59.375 (51.656)	Prec@5 83.594 (81.285)
Epoch: [69][10460/14090]	Time 0.760 (0.768)	Data 0.001 (0.007)	Loss 1.8665 (1.8502)	Prec@1 48.438 (51.657)	Prec@5 77.344 (81.286)
Epoch: [69][10470/14090]	Time 0.850 (0.768)	Data 0.001 (0.007)	Loss 1.8015 (1.8503)	Prec@1 49.219 (51.657)	Prec@5 85.156 (81.285)
Epoch: [69][10480/14090]	Time 0.747 (0.768)	Data 0.001 (0.007)	Loss 1.8329 (1.8503)	Prec@1 47.656 (51.657)	Prec@5 81.250 (81.284)
Epoch: [69][10490/14090]	Time 0.740 (0.768)	Data 0.001 (0.007)	Loss 1.7447 (1.8502)	Prec@1 54.688 (51.657)	Prec@5 85.156 (81.284)
Epoch: [69][10500/14090]	Time 0.776 (0.768)	Data 0.001 (0.007)	Loss 2.0757 (1.8503)	Prec@1 49.219 (51.656)	Prec@5 79.688 (81.284)
Epoch: [69][10510/14090]	Time 0.756 (0.768)	Data 0.001 (0.007)	Loss 1.7826 (1.8503)	Prec@1 52.344 (51.654)	Prec@5 82.031 (81.282)
Epoch: [69][10520/14090]	Time 0.723 (0.768)	Data 0.001 (0.007)	Loss 2.1447 (1.8503)	Prec@1 46.875 (51.654)	Prec@5 73.438 (81.283)
Epoch: [69][10530/14090]	Time 0.741 (0.768)	Data 0.001 (0.007)	Loss 1.8903 (1.8504)	Prec@1 52.344 (51.653)	Prec@5 83.594 (81.282)
Epoch: [69][10540/14090]	Time 0.848 (0.768)	Data 0.001 (0.007)	Loss 1.9098 (1.8504)	Prec@1 49.219 (51.651)	Prec@5 75.000 (81.282)
Epoch: [69][10550/14090]	Time 0.738 (0.768)	Data 0.001 (0.007)	Loss 2.0262 (1.8505)	Prec@1 45.312 (51.651)	Prec@5 80.469 (81.280)
Epoch: [69][10560/14090]	Time 0.736 (0.768)	Data 0.001 (0.007)	Loss 1.8600 (1.8503)	Prec@1 50.781 (51.655)	Prec@5 79.688 (81.282)
Epoch: [69][10570/14090]	Time 0.739 (0.768)	Data 0.001 (0.007)	Loss 1.4627 (1.8504)	Prec@1 59.375 (51.655)	Prec@5 85.156 (81.282)
Epoch: [69][10580/14090]	Time 0.726 (0.768)	Data 0.001 (0.007)	Loss 2.1617 (1.8504)	Prec@1 45.312 (51.654)	Prec@5 71.094 (81.280)
Epoch: [69][10590/14090]	Time 0.758 (0.768)	Data 0.001 (0.007)	Loss 1.9380 (1.8505)	Prec@1 50.781 (51.654)	Prec@5 82.812 (81.279)
Epoch: [69][10600/14090]	Time 0.756 (0.768)	Data 0.001 (0.007)	Loss 1.7991 (1.8504)	Prec@1 49.219 (51.654)	Prec@5 85.938 (81.279)
Epoch: [69][10610/14090]	Time 0.829 (0.768)	Data 0.001 (0.007)	Loss 1.7904 (1.8503)	Prec@1 53.906 (51.656)	Prec@5 81.250 (81.281)
Epoch: [69][10620/14090]	Time 0.754 (0.768)	Data 0.001 (0.007)	Loss 2.0083 (1.8504)	Prec@1 49.219 (51.658)	Prec@5 78.125 (81.280)
Epoch: [69][10630/14090]	Time 0.777 (0.768)	Data 0.001 (0.007)	Loss 1.8610 (1.8503)	Prec@1 50.781 (51.658)	Prec@5 81.250 (81.281)
Epoch: [69][10640/14090]	Time 0.730 (0.768)	Data 0.001 (0.007)	Loss 2.0245 (1.8504)	Prec@1 47.656 (51.658)	Prec@5 78.125 (81.280)
Epoch: [69][10650/14090]	Time 0.771 (0.768)	Data 0.001 (0.007)	Loss 1.7522 (1.8504)	Prec@1 57.031 (51.657)	Prec@5 82.031 (81.279)
Epoch: [69][10660/14090]	Time 0.750 (0.768)	Data 0.001 (0.007)	Loss 1.7579 (1.8505)	Prec@1 59.375 (51.658)	Prec@5 82.031 (81.278)
Epoch: [69][10670/14090]	Time 0.742 (0.768)	Data 0.001 (0.007)	Loss 1.6323 (1.8505)	Prec@1 64.062 (51.660)	Prec@5 82.812 (81.277)
Epoch: [69][10680/14090]	Time 0.836 (0.768)	Data 0.001 (0.007)	Loss 1.8691 (1.8506)	Prec@1 50.781 (51.657)	Prec@5 83.594 (81.274)
Epoch: [69][10690/14090]	Time 0.725 (0.768)	Data 0.001 (0.007)	Loss 1.8796 (1.8504)	Prec@1 57.812 (51.660)	Prec@5 78.906 (81.276)
Epoch: [69][10700/14090]	Time 0.728 (0.768)	Data 0.001 (0.007)	Loss 1.7346 (1.8505)	Prec@1 46.875 (51.657)	Prec@5 87.500 (81.276)
Epoch: [69][10710/14090]	Time 0.732 (0.768)	Data 0.001 (0.007)	Loss 2.0090 (1.8506)	Prec@1 44.531 (51.655)	Prec@5 79.688 (81.275)
Epoch: [69][10720/14090]	Time 0.726 (0.768)	Data 0.001 (0.007)	Loss 2.0614 (1.8506)	Prec@1 49.219 (51.654)	Prec@5 76.562 (81.275)
Epoch: [69][10730/14090]	Time 0.755 (0.768)	Data 0.001 (0.007)	Loss 1.9616 (1.8506)	Prec@1 46.875 (51.653)	Prec@5 77.344 (81.274)
Epoch: [69][10740/14090]	Time 0.775 (0.768)	Data 0.001 (0.007)	Loss 1.7085 (1.8506)	Prec@1 56.250 (51.654)	Prec@5 83.594 (81.275)
Epoch: [69][10750/14090]	Time 0.903 (0.768)	Data 0.001 (0.007)	Loss 1.8738 (1.8507)	Prec@1 48.438 (51.653)	Prec@5 82.031 (81.274)
Epoch: [69][10760/14090]	Time 0.731 (0.768)	Data 0.001 (0.007)	Loss 1.8665 (1.8507)	Prec@1 49.219 (51.653)	Prec@5 79.688 (81.273)
Epoch: [69][10770/14090]	Time 0.742 (0.768)	Data 0.001 (0.007)	Loss 2.0486 (1.8507)	Prec@1 47.656 (51.654)	Prec@5 81.250 (81.274)
Epoch: [69][10780/14090]	Time 0.743 (0.768)	Data 0.001 (0.007)	Loss 1.8003 (1.8507)	Prec@1 48.438 (51.654)	Prec@5 83.594 (81.274)
Epoch: [69][10790/14090]	Time 0.734 (0.768)	Data 0.001 (0.007)	Loss 1.6245 (1.8506)	Prec@1 55.469 (51.655)	Prec@5 84.375 (81.275)
Epoch: [69][10800/14090]	Time 0.752 (0.768)	Data 0.001 (0.007)	Loss 1.9053 (1.8506)	Prec@1 50.000 (51.656)	Prec@5 78.906 (81.276)
Epoch: [69][10810/14090]	Time 0.732 (0.768)	Data 0.001 (0.007)	Loss 1.8910 (1.8506)	Prec@1 46.875 (51.656)	Prec@5 78.125 (81.276)
Epoch: [69][10820/14090]	Time 0.844 (0.768)	Data 0.001 (0.007)	Loss 1.5507 (1.8506)	Prec@1 58.594 (51.656)	Prec@5 85.938 (81.275)
Epoch: [69][10830/14090]	Time 0.752 (0.768)	Data 0.001 (0.007)	Loss 1.3762 (1.8505)	Prec@1 60.938 (51.658)	Prec@5 88.281 (81.277)
Epoch: [69][10840/14090]	Time 0.761 (0.768)	Data 0.001 (0.007)	Loss 1.9858 (1.8505)	Prec@1 44.531 (51.657)	Prec@5 81.250 (81.277)
Epoch: [69][10850/14090]	Time 0.731 (0.768)	Data 0.001 (0.007)	Loss 1.7553 (1.8505)	Prec@1 53.906 (51.657)	Prec@5 79.688 (81.279)
Epoch: [69][10860/14090]	Time 0.733 (0.768)	Data 0.001 (0.007)	Loss 2.0538 (1.8505)	Prec@1 46.094 (51.657)	Prec@5 79.688 (81.278)
Epoch: [69][10870/14090]	Time 0.754 (0.768)	Data 0.001 (0.007)	Loss 1.9064 (1.8505)	Prec@1 51.562 (51.657)	Prec@5 79.688 (81.279)
Epoch: [69][10880/14090]	Time 0.771 (0.768)	Data 0.001 (0.007)	Loss 1.8649 (1.8505)	Prec@1 43.750 (51.655)	Prec@5 83.594 (81.279)
Epoch: [69][10890/14090]	Time 0.868 (0.768)	Data 0.001 (0.007)	Loss 2.1107 (1.8506)	Prec@1 45.312 (51.654)	Prec@5 75.000 (81.277)
Epoch: [69][10900/14090]	Time 0.746 (0.768)	Data 0.001 (0.007)	Loss 2.0746 (1.8506)	Prec@1 43.750 (51.653)	Prec@5 78.906 (81.277)
Epoch: [69][10910/14090]	Time 0.749 (0.768)	Data 0.001 (0.007)	Loss 1.9589 (1.8507)	Prec@1 46.875 (51.653)	Prec@5 79.688 (81.275)
Epoch: [69][10920/14090]	Time 0.774 (0.768)	Data 0.001 (0.007)	Loss 1.8312 (1.8506)	Prec@1 56.250 (51.654)	Prec@5 81.250 (81.275)
Epoch: [69][10930/14090]	Time 0.747 (0.768)	Data 0.001 (0.007)	Loss 1.7467 (1.8506)	Prec@1 55.469 (51.655)	Prec@5 83.594 (81.275)
Epoch: [69][10940/14090]	Time 0.743 (0.768)	Data 0.001 (0.007)	Loss 1.8966 (1.8506)	Prec@1 47.656 (51.656)	Prec@5 82.031 (81.275)
Epoch: [69][10950/14090]	Time 0.778 (0.768)	Data 0.001 (0.007)	Loss 1.8071 (1.8505)	Prec@1 45.312 (51.656)	Prec@5 81.250 (81.276)
Epoch: [69][10960/14090]	Time 0.855 (0.768)	Data 0.001 (0.006)	Loss 1.7131 (1.8505)	Prec@1 54.688 (51.656)	Prec@5 85.938 (81.277)
Epoch: [69][10970/14090]	Time 0.738 (0.768)	Data 0.001 (0.006)	Loss 1.7559 (1.8505)	Prec@1 53.906 (51.655)	Prec@5 82.031 (81.279)
Epoch: [69][10980/14090]	Time 0.732 (0.768)	Data 0.001 (0.006)	Loss 1.7104 (1.8504)	Prec@1 47.656 (51.655)	Prec@5 85.156 (81.281)
Epoch: [69][10990/14090]	Time 0.755 (0.768)	Data 0.001 (0.006)	Loss 2.1791 (1.8504)	Prec@1 47.656 (51.655)	Prec@5 76.562 (81.282)
Epoch: [69][11000/14090]	Time 0.731 (0.768)	Data 0.001 (0.006)	Loss 1.8749 (1.8504)	Prec@1 50.781 (51.654)	Prec@5 83.594 (81.282)
Epoch: [69][11010/14090]	Time 0.735 (0.768)	Data 0.001 (0.006)	Loss 1.8713 (1.8504)	Prec@1 50.000 (51.655)	Prec@5 75.781 (81.281)
Epoch: [69][11020/14090]	Time 0.729 (0.768)	Data 0.001 (0.006)	Loss 2.0616 (1.8505)	Prec@1 49.219 (51.655)	Prec@5 77.344 (81.280)
Epoch: [69][11030/14090]	Time 0.866 (0.768)	Data 0.001 (0.006)	Loss 1.7746 (1.8505)	Prec@1 54.688 (51.655)	Prec@5 79.688 (81.280)
Epoch: [69][11040/14090]	Time 0.719 (0.768)	Data 0.001 (0.006)	Loss 1.8836 (1.8504)	Prec@1 48.438 (51.654)	Prec@5 82.031 (81.281)
Epoch: [69][11050/14090]	Time 0.757 (0.768)	Data 0.001 (0.006)	Loss 1.9326 (1.8505)	Prec@1 49.219 (51.655)	Prec@5 78.125 (81.280)
Epoch: [69][11060/14090]	Time 0.725 (0.768)	Data 0.001 (0.006)	Loss 1.9298 (1.8505)	Prec@1 50.781 (51.654)	Prec@5 78.125 (81.279)
Epoch: [69][11070/14090]	Time 0.729 (0.768)	Data 0.001 (0.006)	Loss 2.0393 (1.8505)	Prec@1 46.875 (51.654)	Prec@5 77.344 (81.278)
Epoch: [69][11080/14090]	Time 0.753 (0.768)	Data 0.001 (0.006)	Loss 1.8760 (1.8507)	Prec@1 55.469 (51.652)	Prec@5 80.469 (81.276)
Epoch: [69][11090/14090]	Time 0.747 (0.768)	Data 0.001 (0.006)	Loss 1.8658 (1.8506)	Prec@1 53.906 (51.653)	Prec@5 80.469 (81.276)
Epoch: [69][11100/14090]	Time 0.854 (0.768)	Data 0.001 (0.006)	Loss 1.6390 (1.8506)	Prec@1 53.125 (51.654)	Prec@5 85.156 (81.277)
Epoch: [69][11110/14090]	Time 0.757 (0.768)	Data 0.001 (0.006)	Loss 2.2568 (1.8506)	Prec@1 42.969 (51.654)	Prec@5 72.656 (81.278)
Epoch: [69][11120/14090]	Time 0.737 (0.768)	Data 0.001 (0.006)	Loss 1.8831 (1.8505)	Prec@1 51.562 (51.654)	Prec@5 82.812 (81.279)
Epoch: [69][11130/14090]	Time 0.723 (0.768)	Data 0.001 (0.006)	Loss 1.5791 (1.8505)	Prec@1 54.688 (51.654)	Prec@5 85.938 (81.279)
Epoch: [69][11140/14090]	Time 0.728 (0.768)	Data 0.001 (0.006)	Loss 2.0418 (1.8504)	Prec@1 46.094 (51.655)	Prec@5 81.250 (81.281)
Epoch: [69][11150/14090]	Time 0.758 (0.768)	Data 0.001 (0.006)	Loss 2.0016 (1.8504)	Prec@1 51.562 (51.655)	Prec@5 75.000 (81.281)
Epoch: [69][11160/14090]	Time 0.746 (0.768)	Data 0.001 (0.006)	Loss 1.7765 (1.8505)	Prec@1 51.562 (51.653)	Prec@5 84.375 (81.279)
Epoch: [69][11170/14090]	Time 0.849 (0.768)	Data 0.001 (0.006)	Loss 1.7161 (1.8505)	Prec@1 57.031 (51.655)	Prec@5 84.375 (81.280)
Epoch: [69][11180/14090]	Time 0.726 (0.768)	Data 0.001 (0.006)	Loss 1.6793 (1.8505)	Prec@1 55.469 (51.654)	Prec@5 86.719 (81.279)
Epoch: [69][11190/14090]	Time 0.720 (0.768)	Data 0.001 (0.006)	Loss 1.8632 (1.8505)	Prec@1 52.344 (51.652)	Prec@5 80.469 (81.279)
Epoch: [69][11200/14090]	Time 0.758 (0.768)	Data 0.001 (0.006)	Loss 1.8246 (1.8506)	Prec@1 50.781 (51.651)	Prec@5 78.906 (81.277)
Epoch: [69][11210/14090]	Time 0.759 (0.768)	Data 0.001 (0.006)	Loss 2.0170 (1.8506)	Prec@1 51.562 (51.651)	Prec@5 78.125 (81.276)
Epoch: [69][11220/14090]	Time 0.755 (0.768)	Data 0.001 (0.006)	Loss 1.8843 (1.8506)	Prec@1 57.031 (51.649)	Prec@5 77.344 (81.275)
Epoch: [69][11230/14090]	Time 0.728 (0.768)	Data 0.001 (0.006)	Loss 1.8879 (1.8506)	Prec@1 49.219 (51.650)	Prec@5 81.250 (81.275)
Epoch: [69][11240/14090]	Time 0.829 (0.768)	Data 0.001 (0.006)	Loss 2.1223 (1.8506)	Prec@1 51.562 (51.650)	Prec@5 77.344 (81.274)
Epoch: [69][11250/14090]	Time 0.731 (0.768)	Data 0.001 (0.006)	Loss 1.9911 (1.8506)	Prec@1 42.969 (51.649)	Prec@5 77.344 (81.275)
Epoch: [69][11260/14090]	Time 0.731 (0.768)	Data 0.001 (0.006)	Loss 1.9324 (1.8506)	Prec@1 52.344 (51.650)	Prec@5 77.344 (81.274)
Epoch: [69][11270/14090]	Time 0.748 (0.768)	Data 0.001 (0.006)	Loss 1.6938 (1.8505)	Prec@1 54.688 (51.651)	Prec@5 82.812 (81.276)
Epoch: [69][11280/14090]	Time 0.748 (0.768)	Data 0.001 (0.006)	Loss 1.8443 (1.8505)	Prec@1 57.812 (51.651)	Prec@5 78.906 (81.276)
Epoch: [69][11290/14090]	Time 0.731 (0.768)	Data 0.001 (0.006)	Loss 1.9493 (1.8505)	Prec@1 51.562 (51.649)	Prec@5 80.469 (81.275)
Epoch: [69][11300/14090]	Time 0.765 (0.768)	Data 0.001 (0.006)	Loss 2.1980 (1.8506)	Prec@1 40.625 (51.648)	Prec@5 76.562 (81.273)
Epoch: [69][11310/14090]	Time 0.859 (0.768)	Data 0.001 (0.006)	Loss 2.0170 (1.8506)	Prec@1 48.438 (51.649)	Prec@5 75.781 (81.273)
Epoch: [69][11320/14090]	Time 0.736 (0.768)	Data 0.001 (0.006)	Loss 1.8575 (1.8505)	Prec@1 52.344 (51.649)	Prec@5 79.688 (81.273)
Epoch: [69][11330/14090]	Time 0.747 (0.768)	Data 0.001 (0.006)	Loss 1.5732 (1.8506)	Prec@1 55.469 (51.649)	Prec@5 87.500 (81.273)
Epoch: [69][11340/14090]	Time 0.754 (0.768)	Data 0.001 (0.006)	Loss 1.7133 (1.8505)	Prec@1 58.594 (51.652)	Prec@5 86.719 (81.276)
Epoch: [69][11350/14090]	Time 0.733 (0.768)	Data 0.001 (0.006)	Loss 1.8082 (1.8504)	Prec@1 55.469 (51.653)	Prec@5 82.812 (81.276)
Epoch: [69][11360/14090]	Time 0.741 (0.768)	Data 0.001 (0.006)	Loss 1.8145 (1.8504)	Prec@1 46.094 (51.653)	Prec@5 82.812 (81.276)
Epoch: [69][11370/14090]	Time 0.739 (0.768)	Data 0.001 (0.006)	Loss 1.8614 (1.8504)	Prec@1 50.781 (51.652)	Prec@5 80.469 (81.276)
Epoch: [69][11380/14090]	Time 0.855 (0.768)	Data 0.001 (0.006)	Loss 1.8989 (1.8505)	Prec@1 45.312 (51.651)	Prec@5 81.250 (81.274)
Epoch: [69][11390/14090]	Time 0.779 (0.768)	Data 0.001 (0.006)	Loss 1.7513 (1.8505)	Prec@1 52.344 (51.652)	Prec@5 82.031 (81.275)
Epoch: [69][11400/14090]	Time 0.744 (0.768)	Data 0.001 (0.006)	Loss 1.6907 (1.8503)	Prec@1 57.031 (51.656)	Prec@5 80.469 (81.277)
Epoch: [69][11410/14090]	Time 0.723 (0.768)	Data 0.001 (0.006)	Loss 2.0426 (1.8503)	Prec@1 45.312 (51.656)	Prec@5 76.562 (81.278)
Epoch: [69][11420/14090]	Time 0.736 (0.768)	Data 0.001 (0.006)	Loss 1.9736 (1.8504)	Prec@1 48.438 (51.653)	Prec@5 77.344 (81.277)
Epoch: [69][11430/14090]	Time 0.757 (0.768)	Data 0.001 (0.006)	Loss 1.9254 (1.8504)	Prec@1 48.438 (51.654)	Prec@5 77.344 (81.277)
Epoch: [69][11440/14090]	Time 0.740 (0.768)	Data 0.001 (0.006)	Loss 2.0487 (1.8503)	Prec@1 46.094 (51.656)	Prec@5 81.250 (81.278)
Epoch: [69][11450/14090]	Time 0.848 (0.768)	Data 0.001 (0.006)	Loss 1.6032 (1.8503)	Prec@1 60.156 (51.655)	Prec@5 82.031 (81.278)
Epoch: [69][11460/14090]	Time 0.750 (0.768)	Data 0.001 (0.006)	Loss 1.6893 (1.8503)	Prec@1 56.250 (51.655)	Prec@5 83.594 (81.277)
Epoch: [69][11470/14090]	Time 0.730 (0.768)	Data 0.001 (0.006)	Loss 1.9229 (1.8502)	Prec@1 55.469 (51.658)	Prec@5 76.562 (81.277)
Epoch: [69][11480/14090]	Time 0.780 (0.768)	Data 0.001 (0.006)	Loss 2.1656 (1.8503)	Prec@1 42.969 (51.656)	Prec@5 72.656 (81.276)
Epoch: [69][11490/14090]	Time 0.722 (0.767)	Data 0.001 (0.006)	Loss 2.0092 (1.8503)	Prec@1 46.875 (51.655)	Prec@5 76.562 (81.276)
Epoch: [69][11500/14090]	Time 0.754 (0.767)	Data 0.001 (0.006)	Loss 1.9414 (1.8504)	Prec@1 47.656 (51.655)	Prec@5 82.812 (81.275)
Epoch: [69][11510/14090]	Time 0.755 (0.767)	Data 0.001 (0.006)	Loss 1.7297 (1.8504)	Prec@1 54.688 (51.656)	Prec@5 84.375 (81.274)
Epoch: [69][11520/14090]	Time 0.859 (0.767)	Data 0.001 (0.006)	Loss 1.9624 (1.8503)	Prec@1 52.344 (51.659)	Prec@5 78.125 (81.275)
Epoch: [69][11530/14090]	Time 0.727 (0.767)	Data 0.001 (0.006)	Loss 2.0313 (1.8503)	Prec@1 52.344 (51.659)	Prec@5 78.906 (81.276)
Epoch: [69][11540/14090]	Time 0.747 (0.767)	Data 0.001 (0.006)	Loss 1.7160 (1.8503)	Prec@1 54.688 (51.659)	Prec@5 85.938 (81.276)
Epoch: [69][11550/14090]	Time 0.754 (0.767)	Data 0.001 (0.006)	Loss 1.8555 (1.8502)	Prec@1 56.250 (51.659)	Prec@5 81.250 (81.275)
Epoch: [69][11560/14090]	Time 0.733 (0.767)	Data 0.001 (0.006)	Loss 2.1973 (1.8503)	Prec@1 40.625 (51.657)	Prec@5 77.344 (81.275)
Epoch: [69][11570/14090]	Time 0.748 (0.767)	Data 0.001 (0.006)	Loss 1.8909 (1.8502)	Prec@1 49.219 (51.657)	Prec@5 80.469 (81.276)
Epoch: [69][11580/14090]	Time 0.737 (0.767)	Data 0.001 (0.006)	Loss 1.7901 (1.8502)	Prec@1 53.906 (51.656)	Prec@5 84.375 (81.277)
Epoch: [69][11590/14090]	Time 0.909 (0.767)	Data 0.001 (0.006)	Loss 1.9483 (1.8502)	Prec@1 53.906 (51.657)	Prec@5 79.688 (81.277)
Epoch: [69][11600/14090]	Time 0.733 (0.767)	Data 0.001 (0.006)	Loss 1.7255 (1.8501)	Prec@1 57.031 (51.660)	Prec@5 85.156 (81.278)
Epoch: [69][11610/14090]	Time 0.756 (0.767)	Data 0.001 (0.006)	Loss 1.8824 (1.8501)	Prec@1 53.906 (51.662)	Prec@5 78.125 (81.278)
Epoch: [69][11620/14090]	Time 0.720 (0.767)	Data 0.001 (0.006)	Loss 2.0549 (1.8502)	Prec@1 46.094 (51.660)	Prec@5 77.344 (81.276)
Epoch: [69][11630/14090]	Time 0.761 (0.767)	Data 0.001 (0.006)	Loss 1.7752 (1.8503)	Prec@1 57.031 (51.659)	Prec@5 82.812 (81.276)
Epoch: [69][11640/14090]	Time 0.733 (0.767)	Data 0.001 (0.006)	Loss 1.9272 (1.8503)	Prec@1 51.562 (51.659)	Prec@5 79.688 (81.275)
Epoch: [69][11650/14090]	Time 0.732 (0.767)	Data 0.001 (0.006)	Loss 1.8724 (1.8503)	Prec@1 52.344 (51.659)	Prec@5 78.906 (81.274)
Epoch: [69][11660/14090]	Time 0.864 (0.767)	Data 0.001 (0.006)	Loss 1.8561 (1.8502)	Prec@1 50.000 (51.661)	Prec@5 84.375 (81.276)
Epoch: [69][11670/14090]	Time 0.739 (0.767)	Data 0.001 (0.006)	Loss 1.7623 (1.8502)	Prec@1 57.031 (51.660)	Prec@5 82.031 (81.276)
Epoch: [69][11680/14090]	Time 0.733 (0.767)	Data 0.001 (0.006)	Loss 1.6500 (1.8502)	Prec@1 56.250 (51.659)	Prec@5 84.375 (81.276)
Epoch: [69][11690/14090]	Time 0.725 (0.767)	Data 0.001 (0.006)	Loss 1.8052 (1.8502)	Prec@1 54.688 (51.660)	Prec@5 82.031 (81.276)
Epoch: [69][11700/14090]	Time 0.731 (0.767)	Data 0.001 (0.006)	Loss 1.9822 (1.8501)	Prec@1 51.562 (51.661)	Prec@5 80.469 (81.276)
Epoch: [69][11710/14090]	Time 0.764 (0.767)	Data 0.001 (0.006)	Loss 1.8815 (1.8501)	Prec@1 52.344 (51.663)	Prec@5 79.688 (81.276)
Epoch: [69][11720/14090]	Time 0.753 (0.767)	Data 0.001 (0.006)	Loss 1.8412 (1.8501)	Prec@1 50.781 (51.664)	Prec@5 82.812 (81.278)
Epoch: [69][11730/14090]	Time 0.874 (0.767)	Data 0.001 (0.006)	Loss 1.9478 (1.8501)	Prec@1 50.781 (51.663)	Prec@5 81.250 (81.277)
Epoch: [69][11740/14090]	Time 0.730 (0.767)	Data 0.001 (0.006)	Loss 1.8935 (1.8501)	Prec@1 49.219 (51.663)	Prec@5 79.688 (81.277)
Epoch: [69][11750/14090]	Time 0.749 (0.767)	Data 0.001 (0.006)	Loss 1.9317 (1.8501)	Prec@1 50.781 (51.664)	Prec@5 82.031 (81.277)
Epoch: [69][11760/14090]	Time 0.742 (0.767)	Data 0.001 (0.006)	Loss 1.9699 (1.8501)	Prec@1 50.000 (51.666)	Prec@5 79.688 (81.278)
Epoch: [69][11770/14090]	Time 0.744 (0.767)	Data 0.001 (0.006)	Loss 1.8471 (1.8500)	Prec@1 53.125 (51.667)	Prec@5 79.688 (81.279)
Epoch: [69][11780/14090]	Time 0.754 (0.767)	Data 0.001 (0.006)	Loss 1.9066 (1.8500)	Prec@1 53.125 (51.666)	Prec@5 82.812 (81.279)
Epoch: [69][11790/14090]	Time 0.720 (0.767)	Data 0.001 (0.006)	Loss 2.0062 (1.8500)	Prec@1 49.219 (51.667)	Prec@5 78.906 (81.280)
Epoch: [69][11800/14090]	Time 0.864 (0.767)	Data 0.001 (0.006)	Loss 1.8839 (1.8500)	Prec@1 48.438 (51.668)	Prec@5 79.688 (81.280)
Epoch: [69][11810/14090]	Time 0.778 (0.767)	Data 0.001 (0.006)	Loss 1.8290 (1.8499)	Prec@1 53.125 (51.669)	Prec@5 82.031 (81.280)
Epoch: [69][11820/14090]	Time 0.736 (0.767)	Data 0.001 (0.006)	Loss 1.7291 (1.8499)	Prec@1 53.125 (51.669)	Prec@5 83.594 (81.280)
Epoch: [69][11830/14090]	Time 0.727 (0.767)	Data 0.001 (0.006)	Loss 1.9196 (1.8499)	Prec@1 50.781 (51.668)	Prec@5 78.125 (81.281)
Epoch: [69][11840/14090]	Time 0.739 (0.767)	Data 0.001 (0.006)	Loss 1.8993 (1.8499)	Prec@1 53.906 (51.668)	Prec@5 82.031 (81.280)
Epoch: [69][11850/14090]	Time 0.758 (0.767)	Data 0.001 (0.006)	Loss 1.8790 (1.8499)	Prec@1 51.562 (51.669)	Prec@5 82.031 (81.280)
Epoch: [69][11860/14090]	Time 0.729 (0.767)	Data 0.001 (0.006)	Loss 1.9737 (1.8500)	Prec@1 50.781 (51.667)	Prec@5 80.469 (81.279)
Epoch: [69][11870/14090]	Time 0.823 (0.767)	Data 0.001 (0.006)	Loss 1.8252 (1.8500)	Prec@1 50.000 (51.666)	Prec@5 78.125 (81.279)
Epoch: [69][11880/14090]	Time 0.739 (0.767)	Data 0.001 (0.006)	Loss 1.9319 (1.8501)	Prec@1 50.781 (51.664)	Prec@5 78.125 (81.276)
Epoch: [69][11890/14090]	Time 0.724 (0.767)	Data 0.001 (0.006)	Loss 1.7835 (1.8501)	Prec@1 53.125 (51.663)	Prec@5 80.469 (81.276)
Epoch: [69][11900/14090]	Time 0.745 (0.767)	Data 0.001 (0.006)	Loss 1.9917 (1.8501)	Prec@1 50.000 (51.661)	Prec@5 80.469 (81.276)
Epoch: [69][11910/14090]	Time 0.745 (0.767)	Data 0.001 (0.006)	Loss 1.7616 (1.8502)	Prec@1 52.344 (51.658)	Prec@5 82.812 (81.275)
Epoch: [69][11920/14090]	Time 0.752 (0.767)	Data 0.001 (0.006)	Loss 2.1596 (1.8503)	Prec@1 42.969 (51.657)	Prec@5 75.781 (81.273)
Epoch: [69][11930/14090]	Time 0.740 (0.767)	Data 0.001 (0.006)	Loss 1.5985 (1.8502)	Prec@1 58.594 (51.658)	Prec@5 83.594 (81.274)
Epoch: [69][11940/14090]	Time 0.883 (0.767)	Data 0.001 (0.006)	Loss 1.9736 (1.8503)	Prec@1 51.562 (51.656)	Prec@5 80.469 (81.273)
Epoch: [69][11950/14090]	Time 0.740 (0.767)	Data 0.001 (0.006)	Loss 2.2591 (1.8504)	Prec@1 42.969 (51.655)	Prec@5 77.344 (81.272)
Epoch: [69][11960/14090]	Time 0.728 (0.767)	Data 0.001 (0.006)	Loss 2.0086 (1.8503)	Prec@1 52.344 (51.659)	Prec@5 78.125 (81.273)
Epoch: [69][11970/14090]	Time 0.752 (0.767)	Data 0.001 (0.006)	Loss 1.6145 (1.8503)	Prec@1 56.250 (51.659)	Prec@5 86.719 (81.272)
Epoch: [69][11980/14090]	Time 0.734 (0.767)	Data 0.001 (0.006)	Loss 1.9588 (1.8503)	Prec@1 50.000 (51.659)	Prec@5 76.562 (81.271)
Epoch: [69][11990/14090]	Time 0.756 (0.767)	Data 0.001 (0.006)	Loss 1.8173 (1.8504)	Prec@1 52.344 (51.659)	Prec@5 83.594 (81.269)
Epoch: [69][12000/14090]	Time 0.732 (0.767)	Data 0.001 (0.006)	Loss 1.7174 (1.8504)	Prec@1 60.156 (51.659)	Prec@5 82.812 (81.270)
Epoch: [69][12010/14090]	Time 0.867 (0.767)	Data 0.001 (0.006)	Loss 1.7579 (1.8504)	Prec@1 53.906 (51.660)	Prec@5 83.594 (81.271)
Epoch: [69][12020/14090]	Time 0.724 (0.767)	Data 0.001 (0.006)	Loss 1.8165 (1.8505)	Prec@1 54.688 (51.657)	Prec@5 85.156 (81.270)
Epoch: [69][12030/14090]	Time 0.735 (0.767)	Data 0.001 (0.006)	Loss 1.7775 (1.8505)	Prec@1 53.125 (51.655)	Prec@5 85.156 (81.269)
Epoch: [69][12040/14090]	Time 0.769 (0.767)	Data 0.001 (0.006)	Loss 1.7774 (1.8505)	Prec@1 53.125 (51.655)	Prec@5 81.250 (81.269)
Epoch: [69][12050/14090]	Time 0.723 (0.767)	Data 0.001 (0.006)	Loss 1.6791 (1.8505)	Prec@1 53.125 (51.655)	Prec@5 85.938 (81.269)
Epoch: [69][12060/14090]	Time 0.732 (0.767)	Data 0.001 (0.006)	Loss 1.7700 (1.8505)	Prec@1 49.219 (51.655)	Prec@5 86.719 (81.271)
Epoch: [69][12070/14090]	Time 0.728 (0.767)	Data 0.001 (0.006)	Loss 1.6870 (1.8505)	Prec@1 46.875 (51.655)	Prec@5 85.156 (81.270)
Epoch: [69][12080/14090]	Time 0.884 (0.767)	Data 0.001 (0.006)	Loss 1.9487 (1.8506)	Prec@1 42.969 (51.653)	Prec@5 81.250 (81.269)
Epoch: [69][12090/14090]	Time 0.744 (0.767)	Data 0.001 (0.006)	Loss 1.7927 (1.8506)	Prec@1 51.562 (51.653)	Prec@5 82.031 (81.268)
Epoch: [69][12100/14090]	Time 0.746 (0.767)	Data 0.001 (0.006)	Loss 1.6131 (1.8507)	Prec@1 57.031 (51.651)	Prec@5 83.594 (81.267)
Epoch: [69][12110/14090]	Time 0.773 (0.767)	Data 0.001 (0.006)	Loss 1.8041 (1.8506)	Prec@1 49.219 (51.653)	Prec@5 83.594 (81.269)
Epoch: [69][12120/14090]	Time 0.724 (0.767)	Data 0.001 (0.006)	Loss 1.7670 (1.8507)	Prec@1 57.031 (51.653)	Prec@5 83.594 (81.269)
Epoch: [69][12130/14090]	Time 0.723 (0.767)	Data 0.001 (0.006)	Loss 1.8887 (1.8506)	Prec@1 46.094 (51.653)	Prec@5 78.906 (81.268)
Epoch: [69][12140/14090]	Time 0.784 (0.767)	Data 0.001 (0.006)	Loss 1.9643 (1.8507)	Prec@1 46.094 (51.652)	Prec@5 79.688 (81.268)
Epoch: [69][12150/14090]	Time 0.883 (0.767)	Data 0.001 (0.006)	Loss 1.6141 (1.8506)	Prec@1 56.250 (51.652)	Prec@5 85.156 (81.268)
Epoch: [69][12160/14090]	Time 0.729 (0.767)	Data 0.001 (0.006)	Loss 1.7526 (1.8507)	Prec@1 53.906 (51.651)	Prec@5 81.250 (81.267)
Epoch: [69][12170/14090]	Time 0.750 (0.767)	Data 0.001 (0.006)	Loss 1.9045 (1.8508)	Prec@1 50.000 (51.649)	Prec@5 80.469 (81.265)
Epoch: [69][12180/14090]	Time 0.761 (0.767)	Data 0.001 (0.006)	Loss 2.1966 (1.8509)	Prec@1 49.219 (51.646)	Prec@5 74.219 (81.264)
Epoch: [69][12190/14090]	Time 0.744 (0.767)	Data 0.001 (0.006)	Loss 1.9834 (1.8509)	Prec@1 53.125 (51.646)	Prec@5 79.688 (81.264)
Epoch: [69][12200/14090]	Time 0.753 (0.767)	Data 0.001 (0.006)	Loss 2.1992 (1.8510)	Prec@1 38.281 (51.645)	Prec@5 75.781 (81.262)
Epoch: [69][12210/14090]	Time 0.723 (0.767)	Data 0.001 (0.006)	Loss 1.8618 (1.8510)	Prec@1 53.906 (51.643)	Prec@5 82.812 (81.263)
Epoch: [69][12220/14090]	Time 0.870 (0.767)	Data 0.001 (0.006)	Loss 1.8733 (1.8510)	Prec@1 56.250 (51.645)	Prec@5 82.812 (81.263)
Epoch: [69][12230/14090]	Time 0.769 (0.767)	Data 0.001 (0.006)	Loss 2.0303 (1.8511)	Prec@1 55.469 (51.646)	Prec@5 75.000 (81.262)
Epoch: [69][12240/14090]	Time 0.752 (0.767)	Data 0.001 (0.006)	Loss 1.8867 (1.8511)	Prec@1 49.219 (51.645)	Prec@5 84.375 (81.260)
Epoch: [69][12250/14090]	Time 0.737 (0.767)	Data 0.001 (0.006)	Loss 1.7865 (1.8511)	Prec@1 54.688 (51.646)	Prec@5 81.250 (81.260)
Epoch: [69][12260/14090]	Time 0.720 (0.767)	Data 0.001 (0.006)	Loss 1.8966 (1.8511)	Prec@1 51.562 (51.647)	Prec@5 82.031 (81.259)
Epoch: [69][12270/14090]	Time 0.751 (0.767)	Data 0.001 (0.006)	Loss 1.7874 (1.8511)	Prec@1 45.312 (51.646)	Prec@5 80.469 (81.260)
Epoch: [69][12280/14090]	Time 0.756 (0.767)	Data 0.001 (0.006)	Loss 1.8209 (1.8510)	Prec@1 57.031 (51.647)	Prec@5 85.156 (81.261)
Epoch: [69][12290/14090]	Time 0.893 (0.767)	Data 0.001 (0.006)	Loss 1.7534 (1.8510)	Prec@1 53.906 (51.648)	Prec@5 82.031 (81.260)
Epoch: [69][12300/14090]	Time 0.736 (0.767)	Data 0.001 (0.006)	Loss 1.5362 (1.8510)	Prec@1 60.156 (51.649)	Prec@5 85.938 (81.260)
Epoch: [69][12310/14090]	Time 0.729 (0.767)	Data 0.001 (0.006)	Loss 1.7773 (1.8509)	Prec@1 49.219 (51.647)	Prec@5 85.156 (81.262)
Epoch: [69][12320/14090]	Time 0.741 (0.767)	Data 0.001 (0.006)	Loss 1.9208 (1.8509)	Prec@1 51.562 (51.647)	Prec@5 79.688 (81.262)
Epoch: [69][12330/14090]	Time 0.722 (0.767)	Data 0.001 (0.006)	Loss 1.9622 (1.8509)	Prec@1 49.219 (51.647)	Prec@5 80.469 (81.262)
Epoch: [69][12340/14090]	Time 0.752 (0.767)	Data 0.001 (0.006)	Loss 1.8879 (1.8510)	Prec@1 52.344 (51.646)	Prec@5 79.688 (81.261)
Epoch: [69][12350/14090]	Time 0.739 (0.767)	Data 0.001 (0.006)	Loss 1.8592 (1.8510)	Prec@1 56.250 (51.645)	Prec@5 82.031 (81.260)
Epoch: [69][12360/14090]	Time 0.863 (0.767)	Data 0.001 (0.006)	Loss 1.9966 (1.8510)	Prec@1 46.875 (51.645)	Prec@5 77.344 (81.261)
Epoch: [69][12370/14090]	Time 0.749 (0.767)	Data 0.001 (0.006)	Loss 1.6749 (1.8510)	Prec@1 55.469 (51.645)	Prec@5 82.812 (81.261)
Epoch: [69][12380/14090]	Time 0.784 (0.767)	Data 0.001 (0.006)	Loss 1.7890 (1.8510)	Prec@1 54.688 (51.646)	Prec@5 85.156 (81.262)
Epoch: [69][12390/14090]	Time 0.735 (0.767)	Data 0.001 (0.006)	Loss 1.8333 (1.8510)	Prec@1 53.906 (51.645)	Prec@5 79.688 (81.261)
Epoch: [69][12400/14090]	Time 0.723 (0.767)	Data 0.001 (0.006)	Loss 1.8864 (1.8510)	Prec@1 50.781 (51.644)	Prec@5 81.250 (81.262)
Epoch: [69][12410/14090]	Time 0.749 (0.767)	Data 0.001 (0.006)	Loss 1.7277 (1.8510)	Prec@1 47.656 (51.643)	Prec@5 85.156 (81.263)
Epoch: [69][12420/14090]	Time 0.776 (0.767)	Data 0.001 (0.006)	Loss 1.6683 (1.8510)	Prec@1 59.375 (51.645)	Prec@5 82.031 (81.262)
Epoch: [69][12430/14090]	Time 0.899 (0.767)	Data 0.001 (0.006)	Loss 1.9589 (1.8510)	Prec@1 47.656 (51.645)	Prec@5 79.688 (81.262)
Epoch: [69][12440/14090]	Time 0.741 (0.767)	Data 0.001 (0.006)	Loss 1.9198 (1.8510)	Prec@1 50.781 (51.645)	Prec@5 78.125 (81.262)
Epoch: [69][12450/14090]	Time 0.741 (0.767)	Data 0.001 (0.006)	Loss 1.5810 (1.8511)	Prec@1 57.031 (51.644)	Prec@5 82.031 (81.260)
Epoch: [69][12460/14090]	Time 0.753 (0.767)	Data 0.001 (0.006)	Loss 1.7053 (1.8511)	Prec@1 58.594 (51.643)	Prec@5 84.375 (81.260)
Epoch: [69][12470/14090]	Time 0.764 (0.767)	Data 0.001 (0.006)	Loss 1.8409 (1.8512)	Prec@1 46.875 (51.642)	Prec@5 81.250 (81.259)
Epoch: [69][12480/14090]	Time 0.730 (0.767)	Data 0.001 (0.006)	Loss 1.7544 (1.8512)	Prec@1 50.000 (51.641)	Prec@5 82.812 (81.259)
Epoch: [69][12490/14090]	Time 0.765 (0.767)	Data 0.001 (0.006)	Loss 2.0430 (1.8512)	Prec@1 46.094 (51.642)	Prec@5 79.688 (81.260)
Epoch: [69][12500/14090]	Time 0.803 (0.767)	Data 0.001 (0.006)	Loss 1.6149 (1.8513)	Prec@1 59.375 (51.642)	Prec@5 85.938 (81.258)
Epoch: [69][12510/14090]	Time 0.746 (0.767)	Data 0.001 (0.006)	Loss 2.1564 (1.8513)	Prec@1 46.875 (51.642)	Prec@5 77.344 (81.258)
Epoch: [69][12520/14090]	Time 0.773 (0.767)	Data 0.001 (0.006)	Loss 1.7117 (1.8512)	Prec@1 53.125 (51.643)	Prec@5 82.812 (81.258)
Epoch: [69][12530/14090]	Time 0.747 (0.767)	Data 0.001 (0.006)	Loss 2.0136 (1.8512)	Prec@1 50.781 (51.642)	Prec@5 80.469 (81.258)
Epoch: [69][12540/14090]	Time 0.728 (0.767)	Data 0.001 (0.006)	Loss 2.1369 (1.8513)	Prec@1 49.219 (51.641)	Prec@5 74.219 (81.256)
Epoch: [69][12550/14090]	Time 0.751 (0.767)	Data 0.001 (0.006)	Loss 1.9622 (1.8513)	Prec@1 46.094 (51.642)	Prec@5 78.906 (81.256)
Epoch: [69][12560/14090]	Time 0.773 (0.767)	Data 0.001 (0.006)	Loss 1.8437 (1.8513)	Prec@1 56.250 (51.644)	Prec@5 80.469 (81.255)
Epoch: [69][12570/14090]	Time 0.862 (0.767)	Data 0.001 (0.006)	Loss 1.9202 (1.8513)	Prec@1 50.781 (51.645)	Prec@5 78.906 (81.255)
Epoch: [69][12580/14090]	Time 0.774 (0.767)	Data 0.001 (0.006)	Loss 1.9898 (1.8513)	Prec@1 54.688 (51.645)	Prec@5 76.562 (81.255)
Epoch: [69][12590/14090]	Time 0.759 (0.767)	Data 0.001 (0.006)	Loss 2.0492 (1.8514)	Prec@1 39.844 (51.643)	Prec@5 78.906 (81.255)
Epoch: [69][12600/14090]	Time 0.762 (0.767)	Data 0.001 (0.006)	Loss 1.8741 (1.8514)	Prec@1 56.250 (51.643)	Prec@5 78.125 (81.254)
Epoch: [69][12610/14090]	Time 0.765 (0.767)	Data 0.001 (0.006)	Loss 1.8958 (1.8514)	Prec@1 50.781 (51.642)	Prec@5 82.031 (81.253)
Epoch: [69][12620/14090]	Time 0.749 (0.767)	Data 0.001 (0.006)	Loss 1.7982 (1.8514)	Prec@1 54.688 (51.641)	Prec@5 79.688 (81.253)
Epoch: [69][12630/14090]	Time 0.738 (0.767)	Data 0.001 (0.006)	Loss 1.6218 (1.8514)	Prec@1 51.562 (51.641)	Prec@5 83.594 (81.254)
Epoch: [69][12640/14090]	Time 0.864 (0.767)	Data 0.001 (0.006)	Loss 1.9275 (1.8514)	Prec@1 51.562 (51.642)	Prec@5 82.812 (81.254)
Epoch: [69][12650/14090]	Time 0.759 (0.767)	Data 0.001 (0.006)	Loss 1.8852 (1.8514)	Prec@1 57.031 (51.642)	Prec@5 80.469 (81.255)
Epoch: [69][12660/14090]	Time 0.757 (0.767)	Data 0.001 (0.006)	Loss 1.8311 (1.8514)	Prec@1 49.219 (51.642)	Prec@5 80.469 (81.255)
Epoch: [69][12670/14090]	Time 0.778 (0.767)	Data 0.001 (0.006)	Loss 1.8580 (1.8514)	Prec@1 46.094 (51.642)	Prec@5 82.812 (81.255)
Epoch: [69][12680/14090]	Time 0.741 (0.767)	Data 0.001 (0.006)	Loss 1.9136 (1.8514)	Prec@1 50.000 (51.641)	Prec@5 78.906 (81.255)
Epoch: [69][12690/14090]	Time 0.731 (0.767)	Data 0.001 (0.006)	Loss 1.8600 (1.8515)	Prec@1 47.656 (51.641)	Prec@5 82.812 (81.255)
Epoch: [69][12700/14090]	Time 0.726 (0.767)	Data 0.001 (0.006)	Loss 2.2421 (1.8514)	Prec@1 43.750 (51.642)	Prec@5 73.438 (81.256)
Epoch: [69][12710/14090]	Time 0.872 (0.767)	Data 0.001 (0.006)	Loss 1.5779 (1.8514)	Prec@1 51.562 (51.642)	Prec@5 89.062 (81.257)
Epoch: [69][12720/14090]	Time 0.742 (0.767)	Data 0.001 (0.006)	Loss 1.9629 (1.8514)	Prec@1 46.875 (51.641)	Prec@5 78.125 (81.257)
Epoch: [69][12730/14090]	Time 0.753 (0.767)	Data 0.001 (0.006)	Loss 1.6419 (1.8514)	Prec@1 54.688 (51.641)	Prec@5 81.250 (81.256)
Epoch: [69][12740/14090]	Time 0.718 (0.767)	Data 0.001 (0.006)	Loss 1.8718 (1.8514)	Prec@1 53.906 (51.639)	Prec@5 79.688 (81.255)
Epoch: [69][12750/14090]	Time 0.732 (0.767)	Data 0.001 (0.006)	Loss 2.0031 (1.8515)	Prec@1 48.438 (51.638)	Prec@5 78.125 (81.255)
Epoch: [69][12760/14090]	Time 0.752 (0.767)	Data 0.001 (0.006)	Loss 1.8156 (1.8515)	Prec@1 50.000 (51.637)	Prec@5 84.375 (81.254)
Epoch: [69][12770/14090]	Time 0.779 (0.767)	Data 0.001 (0.006)	Loss 1.8301 (1.8515)	Prec@1 50.000 (51.636)	Prec@5 81.250 (81.254)
Epoch: [69][12780/14090]	Time 0.864 (0.767)	Data 0.001 (0.006)	Loss 1.6708 (1.8515)	Prec@1 55.469 (51.637)	Prec@5 85.938 (81.255)
Epoch: [69][12790/14090]	Time 0.738 (0.767)	Data 0.001 (0.006)	Loss 2.1777 (1.8515)	Prec@1 42.188 (51.637)	Prec@5 76.562 (81.256)
Epoch: [69][12800/14090]	Time 0.743 (0.767)	Data 0.001 (0.006)	Loss 1.7963 (1.8515)	Prec@1 54.688 (51.636)	Prec@5 82.031 (81.255)
Epoch: [69][12810/14090]	Time 0.748 (0.767)	Data 0.001 (0.006)	Loss 1.8134 (1.8515)	Prec@1 51.562 (51.636)	Prec@5 82.031 (81.255)
Epoch: [69][12820/14090]	Time 0.739 (0.767)	Data 0.001 (0.006)	Loss 2.0075 (1.8515)	Prec@1 47.656 (51.635)	Prec@5 79.688 (81.255)
Epoch: [69][12830/14090]	Time 0.737 (0.767)	Data 0.001 (0.006)	Loss 1.8813 (1.8515)	Prec@1 54.688 (51.636)	Prec@5 81.250 (81.256)
Epoch: [69][12840/14090]	Time 0.757 (0.767)	Data 0.001 (0.006)	Loss 1.9719 (1.8515)	Prec@1 51.562 (51.638)	Prec@5 81.250 (81.257)
Epoch: [69][12850/14090]	Time 0.866 (0.767)	Data 0.001 (0.006)	Loss 1.9668 (1.8515)	Prec@1 51.562 (51.637)	Prec@5 74.219 (81.256)
Epoch: [69][12860/14090]	Time 0.766 (0.767)	Data 0.001 (0.006)	Loss 1.8345 (1.8515)	Prec@1 53.125 (51.638)	Prec@5 78.906 (81.257)
Epoch: [69][12870/14090]	Time 0.742 (0.767)	Data 0.001 (0.006)	Loss 1.5173 (1.8515)	Prec@1 55.469 (51.638)	Prec@5 86.719 (81.256)
Epoch: [69][12880/14090]	Time 0.748 (0.767)	Data 0.001 (0.006)	Loss 1.7216 (1.8514)	Prec@1 54.688 (51.638)	Prec@5 81.250 (81.256)
Epoch: [69][12890/14090]	Time 0.736 (0.767)	Data 0.001 (0.006)	Loss 1.5938 (1.8515)	Prec@1 60.938 (51.637)	Prec@5 85.938 (81.256)
Epoch: [69][12900/14090]	Time 0.765 (0.767)	Data 0.001 (0.006)	Loss 1.8896 (1.8515)	Prec@1 43.750 (51.637)	Prec@5 78.125 (81.256)
Epoch: [69][12910/14090]	Time 0.749 (0.767)	Data 0.001 (0.006)	Loss 1.7536 (1.8515)	Prec@1 53.906 (51.636)	Prec@5 82.031 (81.255)
Epoch: [69][12920/14090]	Time 0.877 (0.767)	Data 0.001 (0.006)	Loss 1.6877 (1.8515)	Prec@1 60.938 (51.636)	Prec@5 85.156 (81.255)
Epoch: [69][12930/14090]	Time 0.742 (0.767)	Data 0.001 (0.006)	Loss 1.8911 (1.8515)	Prec@1 46.094 (51.634)	Prec@5 82.812 (81.255)
Epoch: [69][12940/14090]	Time 0.766 (0.767)	Data 0.001 (0.006)	Loss 1.6789 (1.8516)	Prec@1 49.219 (51.634)	Prec@5 87.500 (81.254)
Epoch: [69][12950/14090]	Time 0.741 (0.767)	Data 0.001 (0.006)	Loss 2.0797 (1.8516)	Prec@1 47.656 (51.633)	Prec@5 80.469 (81.253)
Epoch: [69][12960/14090]	Time 0.731 (0.767)	Data 0.001 (0.006)	Loss 1.7641 (1.8515)	Prec@1 53.906 (51.635)	Prec@5 84.375 (81.254)
Epoch: [69][12970/14090]	Time 0.747 (0.767)	Data 0.001 (0.006)	Loss 1.7323 (1.8516)	Prec@1 56.250 (51.633)	Prec@5 82.031 (81.253)
Epoch: [69][12980/14090]	Time 0.744 (0.767)	Data 0.001 (0.006)	Loss 1.9109 (1.8516)	Prec@1 51.562 (51.632)	Prec@5 79.688 (81.251)
Epoch: [69][12990/14090]	Time 0.854 (0.767)	Data 0.001 (0.006)	Loss 1.8591 (1.8516)	Prec@1 44.531 (51.631)	Prec@5 80.469 (81.251)
Epoch: [69][13000/14090]	Time 0.736 (0.767)	Data 0.001 (0.006)	Loss 1.8520 (1.8517)	Prec@1 47.656 (51.630)	Prec@5 82.031 (81.251)
Epoch: [69][13010/14090]	Time 0.730 (0.767)	Data 0.001 (0.006)	Loss 1.8672 (1.8517)	Prec@1 51.562 (51.631)	Prec@5 82.812 (81.251)
Epoch: [69][13020/14090]	Time 0.744 (0.767)	Data 0.001 (0.006)	Loss 1.7707 (1.8517)	Prec@1 49.219 (51.631)	Prec@5 79.688 (81.250)
Epoch: [69][13030/14090]	Time 0.744 (0.767)	Data 0.001 (0.006)	Loss 1.7789 (1.8517)	Prec@1 50.781 (51.630)	Prec@5 79.688 (81.249)
Epoch: [69][13040/14090]	Time 0.745 (0.767)	Data 0.001 (0.006)	Loss 1.9581 (1.8517)	Prec@1 51.562 (51.631)	Prec@5 82.031 (81.248)
Epoch: [69][13050/14090]	Time 0.726 (0.767)	Data 0.001 (0.006)	Loss 1.7618 (1.8517)	Prec@1 53.906 (51.631)	Prec@5 81.250 (81.249)
Epoch: [69][13060/14090]	Time 0.861 (0.767)	Data 0.001 (0.006)	Loss 1.7697 (1.8517)	Prec@1 53.906 (51.630)	Prec@5 79.688 (81.248)
Epoch: [69][13070/14090]	Time 0.735 (0.767)	Data 0.001 (0.006)	Loss 1.9606 (1.8517)	Prec@1 51.562 (51.630)	Prec@5 81.250 (81.248)
Epoch: [69][13080/14090]	Time 0.730 (0.767)	Data 0.001 (0.006)	Loss 1.7216 (1.8516)	Prec@1 58.594 (51.632)	Prec@5 84.375 (81.249)
Epoch: [69][13090/14090]	Time 0.739 (0.767)	Data 0.001 (0.006)	Loss 2.0241 (1.8516)	Prec@1 44.531 (51.632)	Prec@5 79.688 (81.250)
Epoch: [69][13100/14090]	Time 0.762 (0.767)	Data 0.001 (0.006)	Loss 1.8360 (1.8516)	Prec@1 50.000 (51.633)	Prec@5 78.125 (81.250)
Epoch: [69][13110/14090]	Time 0.734 (0.767)	Data 0.001 (0.006)	Loss 1.8468 (1.8516)	Prec@1 53.125 (51.633)	Prec@5 82.031 (81.250)
Epoch: [69][13120/14090]	Time 0.749 (0.767)	Data 0.001 (0.006)	Loss 1.7507 (1.8515)	Prec@1 54.688 (51.634)	Prec@5 80.469 (81.250)
Epoch: [69][13130/14090]	Time 0.868 (0.767)	Data 0.001 (0.006)	Loss 1.7480 (1.8515)	Prec@1 54.688 (51.635)	Prec@5 82.812 (81.250)
Epoch: [69][13140/14090]	Time 0.743 (0.767)	Data 0.001 (0.006)	Loss 1.8083 (1.8515)	Prec@1 50.000 (51.635)	Prec@5 79.688 (81.249)
Epoch: [69][13150/14090]	Time 0.746 (0.767)	Data 0.001 (0.006)	Loss 2.0030 (1.8515)	Prec@1 44.531 (51.633)	Prec@5 78.125 (81.250)
Epoch: [69][13160/14090]	Time 0.740 (0.767)	Data 0.001 (0.006)	Loss 1.7683 (1.8514)	Prec@1 54.688 (51.634)	Prec@5 83.594 (81.251)
Epoch: [69][13170/14090]	Time 0.744 (0.767)	Data 0.001 (0.006)	Loss 1.8417 (1.8514)	Prec@1 52.344 (51.635)	Prec@5 79.688 (81.252)
Epoch: [69][13180/14090]	Time 0.746 (0.767)	Data 0.001 (0.006)	Loss 1.8392 (1.8515)	Prec@1 50.000 (51.634)	Prec@5 83.594 (81.251)
Epoch: [69][13190/14090]	Time 0.743 (0.767)	Data 0.001 (0.006)	Loss 2.0833 (1.8514)	Prec@1 46.875 (51.634)	Prec@5 76.562 (81.252)
Epoch: [69][13200/14090]	Time 0.861 (0.767)	Data 0.001 (0.006)	Loss 1.6777 (1.8513)	Prec@1 60.156 (51.636)	Prec@5 81.250 (81.253)
Epoch: [69][13210/14090]	Time 0.756 (0.767)	Data 0.001 (0.006)	Loss 2.0643 (1.8514)	Prec@1 50.000 (51.635)	Prec@5 79.688 (81.251)
Epoch: [69][13220/14090]	Time 0.750 (0.767)	Data 0.001 (0.006)	Loss 1.6953 (1.8514)	Prec@1 52.344 (51.636)	Prec@5 81.250 (81.251)
Epoch: [69][13230/14090]	Time 0.758 (0.767)	Data 0.001 (0.006)	Loss 2.1265 (1.8514)	Prec@1 45.312 (51.637)	Prec@5 76.562 (81.251)
Epoch: [69][13240/14090]	Time 0.742 (0.767)	Data 0.001 (0.006)	Loss 1.9362 (1.8513)	Prec@1 45.312 (51.637)	Prec@5 79.688 (81.252)
Epoch: [69][13250/14090]	Time 0.755 (0.767)	Data 0.001 (0.006)	Loss 1.8258 (1.8513)	Prec@1 53.125 (51.638)	Prec@5 82.812 (81.253)
Epoch: [69][13260/14090]	Time 0.747 (0.767)	Data 0.001 (0.006)	Loss 1.9526 (1.8513)	Prec@1 50.781 (51.638)	Prec@5 76.562 (81.253)
Epoch: [69][13270/14090]	Time 0.859 (0.767)	Data 0.001 (0.006)	Loss 2.0278 (1.8514)	Prec@1 46.875 (51.638)	Prec@5 76.562 (81.252)
Epoch: [69][13280/14090]	Time 0.746 (0.767)	Data 0.002 (0.006)	Loss 1.8884 (1.8514)	Prec@1 52.344 (51.637)	Prec@5 75.000 (81.251)
Epoch: [69][13290/14090]	Time 0.744 (0.767)	Data 0.001 (0.005)	Loss 2.0333 (1.8514)	Prec@1 50.781 (51.637)	Prec@5 78.906 (81.252)
Epoch: [69][13300/14090]	Time 0.724 (0.767)	Data 0.001 (0.005)	Loss 1.7746 (1.8514)	Prec@1 57.812 (51.638)	Prec@5 85.938 (81.252)
Epoch: [69][13310/14090]	Time 0.780 (0.767)	Data 0.001 (0.005)	Loss 1.6231 (1.8513)	Prec@1 58.594 (51.639)	Prec@5 88.281 (81.252)
Epoch: [69][13320/14090]	Time 0.753 (0.767)	Data 0.001 (0.005)	Loss 1.8549 (1.8513)	Prec@1 52.344 (51.639)	Prec@5 78.125 (81.252)
Epoch: [69][13330/14090]	Time 0.746 (0.767)	Data 0.001 (0.005)	Loss 1.8616 (1.8513)	Prec@1 52.344 (51.639)	Prec@5 79.688 (81.251)
Epoch: [69][13340/14090]	Time 0.892 (0.767)	Data 0.001 (0.005)	Loss 1.7219 (1.8513)	Prec@1 57.031 (51.641)	Prec@5 83.594 (81.252)
Epoch: [69][13350/14090]	Time 0.742 (0.767)	Data 0.001 (0.005)	Loss 1.9419 (1.8513)	Prec@1 48.438 (51.642)	Prec@5 81.250 (81.253)
Epoch: [69][13360/14090]	Time 0.755 (0.767)	Data 0.001 (0.005)	Loss 1.7062 (1.8512)	Prec@1 51.562 (51.642)	Prec@5 82.031 (81.253)
Epoch: [69][13370/14090]	Time 0.746 (0.767)	Data 0.001 (0.005)	Loss 2.1129 (1.8512)	Prec@1 50.000 (51.643)	Prec@5 72.656 (81.253)
Epoch: [69][13380/14090]	Time 0.739 (0.767)	Data 0.001 (0.005)	Loss 2.0142 (1.8512)	Prec@1 40.625 (51.642)	Prec@5 80.469 (81.252)
Epoch: [69][13390/14090]	Time 0.746 (0.767)	Data 0.001 (0.005)	Loss 2.1429 (1.8512)	Prec@1 46.875 (51.640)	Prec@5 75.781 (81.252)
Epoch: [69][13400/14090]	Time 0.764 (0.767)	Data 0.001 (0.005)	Loss 1.8897 (1.8512)	Prec@1 53.125 (51.642)	Prec@5 81.250 (81.253)
Epoch: [69][13410/14090]	Time 0.881 (0.767)	Data 0.001 (0.005)	Loss 1.9625 (1.8512)	Prec@1 48.438 (51.641)	Prec@5 81.250 (81.253)
Epoch: [69][13420/14090]	Time 0.745 (0.767)	Data 0.001 (0.005)	Loss 1.8846 (1.8512)	Prec@1 55.469 (51.642)	Prec@5 81.250 (81.253)
Epoch: [69][13430/14090]	Time 0.726 (0.767)	Data 0.001 (0.005)	Loss 1.8482 (1.8512)	Prec@1 50.000 (51.641)	Prec@5 83.594 (81.253)
Epoch: [69][13440/14090]	Time 0.752 (0.767)	Data 0.001 (0.005)	Loss 2.2163 (1.8513)	Prec@1 47.656 (51.642)	Prec@5 77.344 (81.252)
Epoch: [69][13450/14090]	Time 0.755 (0.767)	Data 0.001 (0.005)	Loss 1.9698 (1.8512)	Prec@1 49.219 (51.644)	Prec@5 78.906 (81.253)
Epoch: [69][13460/14090]	Time 0.760 (0.767)	Data 0.001 (0.005)	Loss 1.9017 (1.8513)	Prec@1 50.000 (51.643)	Prec@5 75.781 (81.251)
Epoch: [69][13470/14090]	Time 0.731 (0.767)	Data 0.001 (0.005)	Loss 1.8205 (1.8512)	Prec@1 51.562 (51.645)	Prec@5 85.156 (81.252)
Epoch: [69][13480/14090]	Time 0.857 (0.767)	Data 0.001 (0.005)	Loss 2.0180 (1.8512)	Prec@1 51.562 (51.645)	Prec@5 75.000 (81.251)
Epoch: [69][13490/14090]	Time 0.730 (0.767)	Data 0.001 (0.005)	Loss 1.8555 (1.8512)	Prec@1 52.344 (51.646)	Prec@5 79.688 (81.250)
Epoch: [69][13500/14090]	Time 0.726 (0.767)	Data 0.001 (0.005)	Loss 1.9538 (1.8512)	Prec@1 46.094 (51.646)	Prec@5 82.031 (81.250)
Epoch: [69][13510/14090]	Time 0.748 (0.767)	Data 0.001 (0.005)	Loss 1.7358 (1.8513)	Prec@1 50.000 (51.645)	Prec@5 87.500 (81.249)
Epoch: [69][13520/14090]	Time 0.770 (0.767)	Data 0.001 (0.005)	Loss 1.6596 (1.8513)	Prec@1 56.250 (51.645)	Prec@5 86.719 (81.249)
Epoch: [69][13530/14090]	Time 0.748 (0.767)	Data 0.001 (0.005)	Loss 1.9923 (1.8513)	Prec@1 52.344 (51.645)	Prec@5 78.125 (81.249)
Epoch: [69][13540/14090]	Time 0.751 (0.767)	Data 0.001 (0.005)	Loss 1.6981 (1.8513)	Prec@1 60.938 (51.645)	Prec@5 80.469 (81.248)
Epoch: [69][13550/14090]	Time 0.889 (0.767)	Data 0.001 (0.005)	Loss 1.6522 (1.8513)	Prec@1 48.438 (51.645)	Prec@5 84.375 (81.249)
Epoch: [69][13560/14090]	Time 0.734 (0.767)	Data 0.001 (0.005)	Loss 2.0738 (1.8513)	Prec@1 49.219 (51.646)	Prec@5 79.688 (81.248)
Epoch: [69][13570/14090]	Time 0.749 (0.767)	Data 0.001 (0.005)	Loss 1.8619 (1.8513)	Prec@1 50.781 (51.646)	Prec@5 81.250 (81.248)
Epoch: [69][13580/14090]	Time 0.732 (0.767)	Data 0.001 (0.005)	Loss 1.9570 (1.8513)	Prec@1 52.344 (51.645)	Prec@5 82.031 (81.249)
Epoch: [69][13590/14090]	Time 0.751 (0.767)	Data 0.001 (0.005)	Loss 1.8378 (1.8513)	Prec@1 50.781 (51.645)	Prec@5 79.688 (81.249)
Epoch: [69][13600/14090]	Time 0.754 (0.767)	Data 0.001 (0.005)	Loss 1.6356 (1.8513)	Prec@1 49.219 (51.645)	Prec@5 84.375 (81.248)
Epoch: [69][13610/14090]	Time 0.757 (0.767)	Data 0.001 (0.005)	Loss 1.8075 (1.8513)	Prec@1 56.250 (51.644)	Prec@5 82.812 (81.248)
Epoch: [69][13620/14090]	Time 0.861 (0.767)	Data 0.001 (0.005)	Loss 1.6870 (1.8513)	Prec@1 51.562 (51.645)	Prec@5 84.375 (81.249)
Epoch: [69][13630/14090]	Time 0.736 (0.767)	Data 0.001 (0.005)	Loss 2.0058 (1.8513)	Prec@1 44.531 (51.646)	Prec@5 76.562 (81.248)
Epoch: [69][13640/14090]	Time 0.738 (0.767)	Data 0.001 (0.005)	Loss 1.9497 (1.8512)	Prec@1 50.000 (51.646)	Prec@5 80.469 (81.249)
Epoch: [69][13650/14090]	Time 0.735 (0.767)	Data 0.001 (0.005)	Loss 1.8401 (1.8513)	Prec@1 54.688 (51.645)	Prec@5 82.031 (81.248)
Epoch: [69][13660/14090]	Time 0.773 (0.767)	Data 0.001 (0.005)	Loss 2.0412 (1.8513)	Prec@1 51.562 (51.644)	Prec@5 75.000 (81.246)
Epoch: [69][13670/14090]	Time 0.746 (0.767)	Data 0.001 (0.005)	Loss 1.7808 (1.8513)	Prec@1 51.562 (51.645)	Prec@5 85.156 (81.246)
Epoch: [69][13680/14090]	Time 0.768 (0.767)	Data 0.001 (0.005)	Loss 1.8479 (1.8513)	Prec@1 50.000 (51.644)	Prec@5 79.688 (81.246)
Epoch: [69][13690/14090]	Time 0.874 (0.767)	Data 0.001 (0.005)	Loss 1.8377 (1.8513)	Prec@1 52.344 (51.645)	Prec@5 83.594 (81.246)
Epoch: [69][13700/14090]	Time 0.781 (0.767)	Data 0.001 (0.005)	Loss 2.0441 (1.8514)	Prec@1 53.125 (51.644)	Prec@5 78.125 (81.246)
Epoch: [69][13710/14090]	Time 0.759 (0.767)	Data 0.001 (0.005)	Loss 1.6709 (1.8514)	Prec@1 55.469 (51.644)	Prec@5 83.594 (81.245)
Epoch: [69][13720/14090]	Time 0.750 (0.767)	Data 0.001 (0.005)	Loss 1.7702 (1.8514)	Prec@1 46.094 (51.644)	Prec@5 85.156 (81.245)
Epoch: [69][13730/14090]	Time 0.733 (0.767)	Data 0.001 (0.005)	Loss 1.8218 (1.8514)	Prec@1 49.219 (51.643)	Prec@5 81.250 (81.245)
Epoch: [69][13740/14090]	Time 0.735 (0.767)	Data 0.001 (0.005)	Loss 2.0218 (1.8514)	Prec@1 46.094 (51.643)	Prec@5 77.344 (81.244)
Epoch: [69][13750/14090]	Time 0.786 (0.767)	Data 0.001 (0.005)	Loss 2.0673 (1.8515)	Prec@1 48.438 (51.644)	Prec@5 75.781 (81.243)
Epoch: [69][13760/14090]	Time 0.888 (0.767)	Data 0.001 (0.005)	Loss 1.7826 (1.8515)	Prec@1 50.000 (51.644)	Prec@5 77.344 (81.244)
Epoch: [69][13770/14090]	Time 0.729 (0.767)	Data 0.001 (0.005)	Loss 2.1204 (1.8515)	Prec@1 45.312 (51.643)	Prec@5 75.781 (81.243)
Epoch: [69][13780/14090]	Time 0.721 (0.767)	Data 0.001 (0.005)	Loss 1.7402 (1.8515)	Prec@1 57.031 (51.643)	Prec@5 80.469 (81.242)
Epoch: [69][13790/14090]	Time 0.772 (0.767)	Data 0.001 (0.005)	Loss 1.7445 (1.8516)	Prec@1 56.250 (51.643)	Prec@5 85.156 (81.241)
Epoch: [69][13800/14090]	Time 0.777 (0.767)	Data 0.001 (0.005)	Loss 1.7337 (1.8516)	Prec@1 54.688 (51.643)	Prec@5 83.594 (81.242)
Epoch: [69][13810/14090]	Time 0.730 (0.767)	Data 0.001 (0.005)	Loss 1.6940 (1.8516)	Prec@1 60.156 (51.643)	Prec@5 79.688 (81.241)
Epoch: [69][13820/14090]	Time 0.723 (0.767)	Data 0.001 (0.006)	Loss 1.7842 (1.8517)	Prec@1 50.000 (51.641)	Prec@5 84.375 (81.240)
Epoch: [69][13830/14090]	Time 2.033 (0.768)	Data 1.198 (0.006)	Loss 1.7895 (1.8517)	Prec@1 57.812 (51.641)	Prec@5 82.031 (81.241)
Epoch: [69][13840/14090]	Time 0.721 (0.768)	Data 0.001 (0.006)	Loss 1.7395 (1.8517)	Prec@1 50.781 (51.640)	Prec@5 82.031 (81.240)
Epoch: [69][13850/14090]	Time 1.461 (0.768)	Data 0.755 (0.007)	Loss 1.8866 (1.8517)	Prec@1 53.125 (51.639)	Prec@5 79.688 (81.240)
Epoch: [69][13860/14090]	Time 0.726 (0.768)	Data 0.001 (0.007)	Loss 2.0209 (1.8518)	Prec@1 52.344 (51.638)	Prec@5 76.562 (81.239)
Epoch: [69][13870/14090]	Time 0.746 (0.769)	Data 0.001 (0.007)	Loss 1.7739 (1.8518)	Prec@1 53.125 (51.638)	Prec@5 81.250 (81.239)
Epoch: [69][13880/14090]	Time 0.731 (0.769)	Data 0.001 (0.007)	Loss 2.0505 (1.8518)	Prec@1 46.094 (51.638)	Prec@5 78.125 (81.239)
Epoch: [69][13890/14090]	Time 0.721 (0.769)	Data 0.001 (0.007)	Loss 1.8005 (1.8518)	Prec@1 55.469 (51.639)	Prec@5 82.812 (81.240)
Epoch: [69][13900/14090]	Time 0.902 (0.769)	Data 0.064 (0.008)	Loss 2.0984 (1.8519)	Prec@1 55.469 (51.638)	Prec@5 78.125 (81.238)
Epoch: [69][13910/14090]	Time 3.185 (0.769)	Data 2.500 (0.008)	Loss 1.7872 (1.8519)	Prec@1 53.906 (51.637)	Prec@5 79.688 (81.237)
Epoch: [69][13920/14090]	Time 1.140 (0.769)	Data 0.420 (0.008)	Loss 1.9703 (1.8519)	Prec@1 50.781 (51.638)	Prec@5 81.250 (81.237)
Epoch: [69][13930/14090]	Time 4.516 (0.770)	Data 3.804 (0.008)	Loss 1.7778 (1.8519)	Prec@1 57.031 (51.639)	Prec@5 86.719 (81.237)
Epoch: [69][13940/14090]	Time 0.723 (0.770)	Data 0.001 (0.008)	Loss 2.0019 (1.8519)	Prec@1 45.312 (51.638)	Prec@5 74.219 (81.237)
Epoch: [69][13950/14090]	Time 0.731 (0.770)	Data 0.001 (0.008)	Loss 2.0028 (1.8520)	Prec@1 46.875 (51.638)	Prec@5 77.344 (81.236)
Epoch: [69][13960/14090]	Time 0.736 (0.770)	Data 0.001 (0.008)	Loss 1.5607 (1.8520)	Prec@1 58.594 (51.637)	Prec@5 87.500 (81.235)
Epoch: [69][13970/14090]	Time 0.872 (0.770)	Data 0.001 (0.008)	Loss 1.7045 (1.8520)	Prec@1 57.031 (51.638)	Prec@5 78.125 (81.235)
Epoch: [69][13980/14090]	Time 0.723 (0.770)	Data 0.001 (0.009)	Loss 1.7752 (1.8520)	Prec@1 52.344 (51.637)	Prec@5 82.031 (81.235)
Epoch: [69][13990/14090]	Time 0.972 (0.770)	Data 0.244 (0.009)	Loss 1.7167 (1.8520)	Prec@1 49.219 (51.638)	Prec@5 84.375 (81.235)
Epoch: [69][14000/14090]	Time 0.748 (0.770)	Data 0.001 (0.009)	Loss 1.9137 (1.8519)	Prec@1 56.250 (51.639)	Prec@5 84.375 (81.236)
Epoch: [69][14010/14090]	Time 0.757 (0.770)	Data 0.001 (0.009)	Loss 1.5745 (1.8519)	Prec@1 55.469 (51.639)	Prec@5 84.375 (81.236)
Epoch: [69][14020/14090]	Time 0.734 (0.770)	Data 0.001 (0.009)	Loss 1.7994 (1.8520)	Prec@1 53.125 (51.637)	Prec@5 82.812 (81.235)
Epoch: [69][14030/14090]	Time 0.729 (0.770)	Data 0.001 (0.009)	Loss 1.7895 (1.8520)	Prec@1 53.125 (51.637)	Prec@5 79.688 (81.234)
Epoch: [69][14040/14090]	Time 0.844 (0.771)	Data 0.001 (0.009)	Loss 1.7862 (1.8520)	Prec@1 57.031 (51.636)	Prec@5 84.375 (81.234)
Epoch: [69][14050/14090]	Time 0.722 (0.771)	Data 0.001 (0.009)	Loss 1.5284 (1.8519)	Prec@1 61.719 (51.638)	Prec@5 88.281 (81.235)
Epoch: [69][14060/14090]	Time 0.775 (0.771)	Data 0.001 (0.009)	Loss 1.8726 (1.8518)	Prec@1 47.656 (51.640)	Prec@5 82.031 (81.236)
Epoch: [69][14070/14090]	Time 0.751 (0.771)	Data 0.001 (0.009)	Loss 1.9148 (1.8518)	Prec@1 48.438 (51.639)	Prec@5 81.250 (81.236)
Epoch: [69][14080/14090]	Time 0.750 (0.771)	Data 0.000 (0.009)	Loss 1.6842 (1.8518)	Prec@1 60.156 (51.640)	Prec@5 81.250 (81.236)
Test: [0/286]	Time 5.775 (5.775)	Loss 1.2031 (1.2031)	Prec@1 59.375 (59.375)	Prec@5 95.312 (95.312)
Test: [10/286]	Time 0.337 (0.915)	Loss 1.8229 (1.7391)	Prec@1 50.000 (53.125)	Prec@5 88.281 (84.943)
Test: [20/286]	Time 0.232 (0.700)	Loss 1.2309 (1.6923)	Prec@1 64.062 (54.167)	Prec@5 92.969 (85.714)
Test: [30/286]	Time 0.237 (0.629)	Loss 1.8345 (1.6250)	Prec@1 52.344 (56.653)	Prec@5 82.812 (86.064)
Test: [40/286]	Time 2.690 (0.657)	Loss 1.7099 (1.6448)	Prec@1 49.219 (56.117)	Prec@5 85.938 (85.976)
Test: [50/286]	Time 0.269 (0.636)	Loss 0.4442 (1.6355)	Prec@1 92.188 (56.051)	Prec@5 95.312 (86.213)
Test: [60/286]	Time 0.229 (0.625)	Loss 2.6879 (1.6675)	Prec@1 39.062 (55.494)	Prec@5 70.312 (85.195)
Test: [70/286]	Time 0.231 (0.614)	Loss 1.0628 (1.6495)	Prec@1 75.781 (55.920)	Prec@5 93.750 (85.541)
Test: [80/286]	Time 2.774 (0.640)	Loss 1.6968 (1.6833)	Prec@1 50.000 (54.755)	Prec@5 86.719 (85.137)
Test: [90/286]	Time 0.373 (0.633)	Loss 1.9197 (1.6968)	Prec@1 47.656 (54.593)	Prec@5 85.938 (84.985)
Test: [100/286]	Time 0.278 (0.628)	Loss 2.1446 (1.7064)	Prec@1 32.812 (54.092)	Prec@5 83.594 (84.994)
Test: [110/286]	Time 0.388 (0.627)	Loss 2.1410 (1.7257)	Prec@1 46.094 (53.709)	Prec@5 77.344 (84.875)
Test: [120/286]	Time 1.420 (0.628)	Loss 1.4947 (1.7137)	Prec@1 62.500 (54.177)	Prec@5 83.594 (84.988)
Test: [130/286]	Time 0.310 (0.621)	Loss 0.9175 (1.7064)	Prec@1 70.312 (54.449)	Prec@5 95.312 (85.025)
Test: [140/286]	Time 0.288 (0.615)	Loss 2.2496 (1.7003)	Prec@1 47.656 (54.571)	Prec@5 74.219 (85.029)
Test: [150/286]	Time 0.694 (0.619)	Loss 2.6171 (1.7165)	Prec@1 33.594 (54.067)	Prec@5 74.219 (84.856)
Test: [160/286]	Time 1.092 (0.620)	Loss 2.6927 (1.7104)	Prec@1 25.781 (54.256)	Prec@5 67.969 (84.948)
Test: [170/286]	Time 0.784 (0.619)	Loss 2.1118 (1.7059)	Prec@1 44.531 (54.304)	Prec@5 77.344 (84.996)
Test: [180/286]	Time 0.223 (0.617)	Loss 1.7950 (1.7161)	Prec@1 63.281 (54.161)	Prec@5 79.688 (84.863)
Test: [190/286]	Time 0.518 (0.622)	Loss 2.8608 (1.7328)	Prec@1 22.656 (53.759)	Prec@5 76.562 (84.723)
Test: [200/286]	Time 0.298 (0.621)	Loss 1.6476 (1.7271)	Prec@1 60.938 (53.957)	Prec@5 89.062 (84.771)
Test: [210/286]	Time 0.886 (0.622)	Loss 1.9263 (1.7286)	Prec@1 50.781 (53.854)	Prec@5 82.031 (84.779)
Test: [220/286]	Time 0.229 (0.619)	Loss 2.4597 (1.7327)	Prec@1 28.125 (53.853)	Prec@5 76.562 (84.658)
Test: [230/286]	Time 0.392 (0.621)	Loss 1.1758 (1.7318)	Prec@1 67.969 (53.856)	Prec@5 90.625 (84.632)
Test: [240/286]	Time 0.641 (0.619)	Loss 1.7558 (1.7306)	Prec@1 58.594 (53.971)	Prec@5 85.156 (84.660)
Test: [250/286]	Time 0.588 (0.619)	Loss 1.7812 (1.7206)	Prec@1 50.781 (54.143)	Prec@5 82.031 (84.829)
Test: [260/286]	Time 0.563 (0.618)	Loss 1.6214 (1.7130)	Prec@1 53.906 (54.385)	Prec@5 86.719 (84.968)
Test: [270/286]	Time 0.367 (0.618)	Loss 1.1440 (1.7140)	Prec@1 69.531 (54.339)	Prec@5 91.406 (84.963)
Test: [280/286]	Time 0.506 (0.617)	Loss 1.6470 (1.6990)	Prec@1 64.062 (54.860)	Prec@5 89.062 (85.098)
 * Prec@1 54.940 Prec@5 85.119
Epoch: [70][0/14090]	Time 10.907 (10.907)	Data 9.861 (9.861)	Loss 1.7028 (1.7028)	Prec@1 53.906 (53.906)	Prec@5 82.031 (82.031)
Epoch: [70][10/14090]	Time 0.845 (1.681)	Data 0.001 (0.897)	Loss 1.8227 (1.7601)	Prec@1 56.250 (53.480)	Prec@5 81.250 (81.889)
Epoch: [70][20/14090]	Time 0.748 (1.341)	Data 0.001 (0.575)	Loss 1.9998 (1.8122)	Prec@1 48.438 (53.311)	Prec@5 81.250 (81.250)
Epoch: [70][30/14090]	Time 0.751 (1.289)	Data 0.001 (0.527)	Loss 1.8250 (1.8254)	Prec@1 57.031 (52.697)	Prec@5 78.906 (81.149)
Epoch: [70][40/14090]	Time 2.071 (1.228)	Data 1.342 (0.467)	Loss 1.6644 (1.8144)	Prec@1 54.688 (52.915)	Prec@5 85.156 (81.364)
Epoch: [70][50/14090]	Time 0.732 (1.221)	Data 0.001 (0.462)	Loss 1.7961 (1.8186)	Prec@1 51.562 (53.033)	Prec@5 82.031 (81.510)
Epoch: [70][60/14090]	Time 1.725 (1.163)	Data 0.994 (0.402)	Loss 2.0146 (1.8320)	Prec@1 49.219 (52.856)	Prec@5 78.125 (81.442)
Epoch: [70][70/14090]	Time 0.725 (1.105)	Data 0.001 (0.346)	Loss 1.8477 (1.8386)	Prec@1 54.688 (52.597)	Prec@5 84.375 (81.448)
Epoch: [70][80/14090]	Time 0.861 (1.067)	Data 0.001 (0.307)	Loss 1.8050 (1.8383)	Prec@1 53.125 (52.604)	Prec@5 80.469 (81.472)
Epoch: [70][90/14090]	Time 0.744 (1.035)	Data 0.001 (0.276)	Loss 1.6418 (1.8377)	Prec@1 56.250 (52.507)	Prec@5 85.938 (81.516)
Epoch: [70][100/14090]	Time 0.769 (1.008)	Data 0.001 (0.250)	Loss 1.8573 (1.8374)	Prec@1 53.906 (52.560)	Prec@5 83.594 (81.513)
Epoch: [70][110/14090]	Time 0.768 (1.017)	Data 0.001 (0.257)	Loss 1.6479 (1.8286)	Prec@1 53.125 (52.724)	Prec@5 85.938 (81.707)
Epoch: [70][120/14090]	Time 0.731 (1.005)	Data 0.001 (0.246)	Loss 1.8396 (1.8251)	Prec@1 54.688 (52.860)	Prec@5 84.375 (81.760)
Epoch: [70][130/14090]	Time 0.737 (1.003)	Data 0.001 (0.245)	Loss 1.8337 (1.8229)	Prec@1 50.000 (52.785)	Prec@5 83.594 (81.828)
Epoch: [70][140/14090]	Time 0.757 (0.986)	Data 0.001 (0.228)	Loss 1.7241 (1.8179)	Prec@1 54.688 (52.887)	Prec@5 79.688 (81.887)
Epoch: [70][150/14090]	Time 0.909 (0.971)	Data 0.001 (0.213)	Loss 2.1240 (1.8185)	Prec@1 46.094 (52.897)	Prec@5 77.344 (81.897)
Epoch: [70][160/14090]	Time 0.728 (0.957)	Data 0.001 (0.199)	Loss 1.9940 (1.8184)	Prec@1 53.906 (52.950)	Prec@5 80.469 (81.876)
Epoch: [70][170/14090]	Time 0.765 (0.946)	Data 0.001 (0.188)	Loss 2.2915 (1.8251)	Prec@1 36.719 (52.791)	Prec@5 73.438 (81.730)
Epoch: [70][180/14090]	Time 0.726 (0.937)	Data 0.001 (0.178)	Loss 1.9506 (1.8267)	Prec@1 45.312 (52.793)	Prec@5 78.125 (81.699)
Epoch: [70][190/14090]	Time 0.727 (0.927)	Data 0.001 (0.168)	Loss 1.8645 (1.8275)	Prec@1 46.094 (52.753)	Prec@5 78.906 (81.622)
Epoch: [70][200/14090]	Time 0.717 (0.920)	Data 0.001 (0.160)	Loss 1.9019 (1.8307)	Prec@1 49.219 (52.694)	Prec@5 79.688 (81.576)
Epoch: [70][210/14090]	Time 0.752 (0.912)	Data 0.001 (0.152)	Loss 1.8259 (1.8302)	Prec@1 52.344 (52.677)	Prec@5 80.469 (81.598)
Epoch: [70][220/14090]	Time 0.864 (0.905)	Data 0.001 (0.146)	Loss 1.8362 (1.8303)	Prec@1 53.906 (52.630)	Prec@5 85.938 (81.582)
Epoch: [70][230/14090]	Time 0.730 (0.899)	Data 0.001 (0.139)	Loss 1.9434 (1.8323)	Prec@1 49.219 (52.608)	Prec@5 79.688 (81.541)
Epoch: [70][240/14090]	Time 0.729 (0.893)	Data 0.001 (0.134)	Loss 1.9741 (1.8352)	Prec@1 46.094 (52.506)	Prec@5 76.562 (81.490)
Epoch: [70][250/14090]	Time 0.718 (0.888)	Data 0.001 (0.128)	Loss 1.7114 (1.8376)	Prec@1 53.125 (52.531)	Prec@5 83.594 (81.440)
Epoch: [70][260/14090]	Time 0.751 (0.883)	Data 0.001 (0.123)	Loss 1.8650 (1.8348)	Prec@1 49.219 (52.547)	Prec@5 79.688 (81.463)
Epoch: [70][270/14090]	Time 0.723 (0.879)	Data 0.001 (0.119)	Loss 2.0141 (1.8330)	Prec@1 46.875 (52.554)	Prec@5 79.688 (81.492)
Epoch: [70][280/14090]	Time 0.771 (0.874)	Data 0.001 (0.115)	Loss 1.8301 (1.8318)	Prec@1 54.688 (52.533)	Prec@5 79.688 (81.522)
Epoch: [70][290/14090]	Time 0.898 (0.871)	Data 0.001 (0.111)	Loss 1.9193 (1.8335)	Prec@1 49.219 (52.454)	Prec@5 77.344 (81.513)
Epoch: [70][300/14090]	Time 0.731 (0.867)	Data 0.001 (0.107)	Loss 1.7619 (1.8353)	Prec@1 53.125 (52.411)	Prec@5 84.375 (81.476)
Epoch: [70][310/14090]	Time 0.723 (0.864)	Data 0.001 (0.104)	Loss 1.6982 (1.8371)	Prec@1 57.031 (52.404)	Prec@5 81.250 (81.386)
Epoch: [70][320/14090]	Time 0.729 (0.861)	Data 0.001 (0.100)	Loss 1.9623 (1.8375)	Prec@1 47.656 (52.409)	Prec@5 75.000 (81.386)
Epoch: [70][330/14090]	Time 0.756 (0.858)	Data 0.001 (0.097)	Loss 1.8651 (1.8367)	Prec@1 47.656 (52.398)	Prec@5 82.812 (81.415)
Epoch: [70][340/14090]	Time 0.740 (0.855)	Data 0.001 (0.095)	Loss 1.9493 (1.8358)	Prec@1 48.438 (52.399)	Prec@5 79.688 (81.447)
Epoch: [70][350/14090]	Time 0.739 (0.852)	Data 0.001 (0.092)	Loss 1.9167 (1.8384)	Prec@1 53.906 (52.313)	Prec@5 83.594 (81.417)
Epoch: [70][360/14090]	Time 0.831 (0.850)	Data 0.001 (0.089)	Loss 1.7144 (1.8378)	Prec@1 50.000 (52.294)	Prec@5 80.469 (81.404)
Epoch: [70][370/14090]	Time 0.748 (0.847)	Data 0.001 (0.087)	Loss 1.5427 (1.8369)	Prec@1 52.344 (52.281)	Prec@5 88.281 (81.429)
Epoch: [70][380/14090]	Time 0.736 (0.845)	Data 0.001 (0.085)	Loss 1.9271 (1.8362)	Prec@1 45.312 (52.251)	Prec@5 80.469 (81.426)
Epoch: [70][390/14090]	Time 0.750 (0.843)	Data 0.001 (0.083)	Loss 1.8322 (1.8356)	Prec@1 48.438 (52.268)	Prec@5 78.906 (81.424)
Epoch: [70][400/14090]	Time 0.786 (0.841)	Data 0.001 (0.081)	Loss 1.7659 (1.8357)	Prec@1 52.344 (52.260)	Prec@5 82.812 (81.437)
Epoch: [70][410/14090]	Time 0.763 (0.839)	Data 0.001 (0.079)	Loss 1.7854 (1.8342)	Prec@1 51.562 (52.266)	Prec@5 82.031 (81.450)
Epoch: [70][420/14090]	Time 0.737 (0.837)	Data 0.001 (0.077)	Loss 1.5941 (1.8339)	Prec@1 57.812 (52.279)	Prec@5 85.156 (81.434)
Epoch: [70][430/14090]	Time 0.834 (0.836)	Data 0.001 (0.075)	Loss 1.9314 (1.8353)	Prec@1 48.438 (52.228)	Prec@5 78.125 (81.415)
Epoch: [70][440/14090]	Time 0.730 (0.834)	Data 0.001 (0.073)	Loss 2.1687 (1.8356)	Prec@1 46.875 (52.252)	Prec@5 74.219 (81.413)
Epoch: [70][450/14090]	Time 0.726 (0.832)	Data 0.001 (0.072)	Loss 1.6909 (1.8358)	Prec@1 51.562 (52.209)	Prec@5 85.156 (81.420)
Epoch: [70][460/14090]	Time 0.765 (0.831)	Data 0.001 (0.070)	Loss 1.8936 (1.8359)	Prec@1 49.219 (52.213)	Prec@5 84.375 (81.440)
Epoch: [70][470/14090]	Time 0.737 (0.829)	Data 0.001 (0.069)	Loss 1.9835 (1.8357)	Prec@1 47.656 (52.224)	Prec@5 78.125 (81.427)
Epoch: [70][480/14090]	Time 0.741 (0.828)	Data 0.001 (0.067)	Loss 2.0707 (1.8366)	Prec@1 46.094 (52.220)	Prec@5 75.000 (81.390)
Epoch: [70][490/14090]	Time 0.732 (0.826)	Data 0.001 (0.066)	Loss 1.9658 (1.8384)	Prec@1 46.875 (52.169)	Prec@5 76.562 (81.358)
Epoch: [70][500/14090]	Time 0.849 (0.825)	Data 0.001 (0.065)	Loss 2.0117 (1.8396)	Prec@1 46.094 (52.194)	Prec@5 79.688 (81.340)
Epoch: [70][510/14090]	Time 0.745 (0.824)	Data 0.001 (0.063)	Loss 1.6728 (1.8391)	Prec@1 59.375 (52.215)	Prec@5 81.250 (81.362)
Epoch: [70][520/14090]	Time 0.749 (0.822)	Data 0.001 (0.062)	Loss 1.9308 (1.8400)	Prec@1 49.219 (52.162)	Prec@5 81.250 (81.335)
Epoch: [70][530/14090]	Time 0.750 (0.821)	Data 0.001 (0.061)	Loss 1.7279 (1.8401)	Prec@1 59.375 (52.180)	Prec@5 85.156 (81.331)
Epoch: [70][540/14090]	Time 0.730 (0.820)	Data 0.001 (0.060)	Loss 1.7632 (1.8405)	Prec@1 53.125 (52.160)	Prec@5 83.594 (81.316)
Epoch: [70][550/14090]	Time 0.749 (0.819)	Data 0.001 (0.059)	Loss 1.8308 (1.8408)	Prec@1 51.562 (52.151)	Prec@5 78.125 (81.300)
Epoch: [70][560/14090]	Time 0.735 (0.818)	Data 0.001 (0.058)	Loss 1.9143 (1.8420)	Prec@1 54.688 (52.121)	Prec@5 79.688 (81.275)
Epoch: [70][570/14090]	Time 0.863 (0.817)	Data 0.001 (0.057)	Loss 1.9040 (1.8432)	Prec@1 53.125 (52.106)	Prec@5 79.688 (81.277)
Epoch: [70][580/14090]	Time 0.737 (0.816)	Data 0.001 (0.056)	Loss 1.9105 (1.8428)	Prec@1 46.875 (52.098)	Prec@5 80.469 (81.280)
Epoch: [70][590/14090]	Time 0.769 (0.815)	Data 0.001 (0.055)	Loss 1.6897 (1.8405)	Prec@1 56.250 (52.167)	Prec@5 83.594 (81.320)
Epoch: [70][600/14090]	Time 0.727 (0.815)	Data 0.001 (0.054)	Loss 2.0527 (1.8398)	Prec@1 35.938 (52.151)	Prec@5 82.031 (81.345)
Epoch: [70][610/14090]	Time 0.742 (0.814)	Data 0.001 (0.053)	Loss 1.5176 (1.8389)	Prec@1 57.031 (52.174)	Prec@5 90.625 (81.363)
Epoch: [70][620/14090]	Time 0.765 (0.813)	Data 0.001 (0.052)	Loss 2.0248 (1.8388)	Prec@1 43.750 (52.174)	Prec@5 79.688 (81.351)
Epoch: [70][630/14090]	Time 0.786 (0.812)	Data 0.001 (0.051)	Loss 1.5832 (1.8390)	Prec@1 56.250 (52.164)	Prec@5 82.812 (81.366)
Epoch: [70][640/14090]	Time 0.840 (0.811)	Data 0.001 (0.051)	Loss 1.6970 (1.8389)	Prec@1 52.344 (52.158)	Prec@5 82.031 (81.380)
Epoch: [70][650/14090]	Time 0.740 (0.810)	Data 0.001 (0.050)	Loss 1.9253 (1.8386)	Prec@1 51.562 (52.167)	Prec@5 80.469 (81.365)
Epoch: [70][660/14090]	Time 0.731 (0.810)	Data 0.001 (0.049)	Loss 1.8869 (1.8384)	Prec@1 50.000 (52.158)	Prec@5 84.375 (81.380)
Epoch: [70][670/14090]	Time 0.733 (0.809)	Data 0.001 (0.048)	Loss 1.5898 (1.8391)	Prec@1 60.156 (52.145)	Prec@5 80.469 (81.357)
Epoch: [70][680/14090]	Time 0.737 (0.808)	Data 0.001 (0.048)	Loss 1.9105 (1.8379)	Prec@1 51.562 (52.153)	Prec@5 78.906 (81.383)
Epoch: [70][690/14090]	Time 0.751 (0.808)	Data 0.001 (0.047)	Loss 1.7650 (1.8380)	Prec@1 53.125 (52.155)	Prec@5 85.938 (81.389)
Epoch: [70][700/14090]	Time 0.742 (0.807)	Data 0.001 (0.046)	Loss 1.7660 (1.8383)	Prec@1 52.344 (52.141)	Prec@5 84.375 (81.385)
Epoch: [70][710/14090]	Time 0.886 (0.806)	Data 0.001 (0.046)	Loss 1.9122 (1.8386)	Prec@1 50.000 (52.148)	Prec@5 81.250 (81.373)
Epoch: [70][720/14090]	Time 0.732 (0.806)	Data 0.001 (0.045)	Loss 1.7699 (1.8385)	Prec@1 57.031 (52.169)	Prec@5 84.375 (81.364)
Epoch: [70][730/14090]	Time 0.736 (0.805)	Data 0.001 (0.045)	Loss 1.7089 (1.8382)	Prec@1 57.031 (52.196)	Prec@5 82.031 (81.350)
Epoch: [70][740/14090]	Time 0.760 (0.804)	Data 0.001 (0.044)	Loss 1.6976 (1.8377)	Prec@1 53.906 (52.194)	Prec@5 81.250 (81.372)
Epoch: [70][750/14090]	Time 0.758 (0.804)	Data 0.001 (0.043)	Loss 1.9314 (1.8381)	Prec@1 50.000 (52.173)	Prec@5 80.469 (81.371)
Epoch: [70][760/14090]	Time 0.731 (0.803)	Data 0.001 (0.043)	Loss 1.6728 (1.8368)	Prec@1 53.906 (52.207)	Prec@5 85.938 (81.390)
Epoch: [70][770/14090]	Time 0.731 (0.803)	Data 0.001 (0.042)	Loss 1.9175 (1.8363)	Prec@1 49.219 (52.216)	Prec@5 82.031 (81.388)
Epoch: [70][780/14090]	Time 0.840 (0.802)	Data 0.001 (0.042)	Loss 2.0143 (1.8376)	Prec@1 51.562 (52.191)	Prec@5 80.469 (81.368)
Epoch: [70][790/14090]	Time 0.725 (0.802)	Data 0.001 (0.041)	Loss 1.9269 (1.8373)	Prec@1 45.312 (52.176)	Prec@5 77.344 (81.388)
Epoch: [70][800/14090]	Time 0.782 (0.801)	Data 0.001 (0.041)	Loss 1.9758 (1.8377)	Prec@1 48.438 (52.156)	Prec@5 79.688 (81.365)
Epoch: [70][810/14090]	Time 0.735 (0.801)	Data 0.001 (0.040)	Loss 1.5834 (1.8383)	Prec@1 55.469 (52.121)	Prec@5 83.594 (81.354)
Epoch: [70][820/14090]	Time 0.744 (0.800)	Data 0.001 (0.040)	Loss 1.9002 (1.8380)	Prec@1 49.219 (52.137)	Prec@5 82.812 (81.373)
Epoch: [70][830/14090]	Time 0.754 (0.800)	Data 0.001 (0.039)	Loss 1.9431 (1.8379)	Prec@1 51.562 (52.145)	Prec@5 81.250 (81.364)
Epoch: [70][840/14090]	Time 0.748 (0.799)	Data 0.001 (0.039)	Loss 1.7250 (1.8367)	Prec@1 53.906 (52.168)	Prec@5 84.375 (81.380)
Epoch: [70][850/14090]	Time 0.860 (0.799)	Data 0.001 (0.038)	Loss 1.9420 (1.8371)	Prec@1 48.438 (52.155)	Prec@5 79.688 (81.369)
Epoch: [70][860/14090]	Time 0.720 (0.798)	Data 0.001 (0.038)	Loss 1.9388 (1.8373)	Prec@1 46.875 (52.149)	Prec@5 79.688 (81.372)
Epoch: [70][870/14090]	Time 0.741 (0.798)	Data 0.001 (0.038)	Loss 1.7454 (1.8376)	Prec@1 54.688 (52.141)	Prec@5 80.469 (81.377)
Epoch: [70][880/14090]	Time 0.757 (0.797)	Data 0.001 (0.037)	Loss 1.9531 (1.8385)	Prec@1 48.438 (52.120)	Prec@5 80.469 (81.359)
Epoch: [70][890/14090]	Time 0.727 (0.797)	Data 0.001 (0.037)	Loss 1.9495 (1.8388)	Prec@1 44.531 (52.115)	Prec@5 82.812 (81.353)
Epoch: [70][900/14090]	Time 0.741 (0.797)	Data 0.001 (0.036)	Loss 1.9207 (1.8384)	Prec@1 44.531 (52.128)	Prec@5 78.906 (81.356)
Epoch: [70][910/14090]	Time 0.765 (0.796)	Data 0.001 (0.036)	Loss 1.9327 (1.8384)	Prec@1 47.656 (52.141)	Prec@5 78.906 (81.355)
Epoch: [70][920/14090]	Time 0.840 (0.796)	Data 0.001 (0.036)	Loss 1.7387 (1.8372)	Prec@1 57.031 (52.160)	Prec@5 84.375 (81.373)
Epoch: [70][930/14090]	Time 0.749 (0.796)	Data 0.001 (0.035)	Loss 1.8471 (1.8379)	Prec@1 53.906 (52.149)	Prec@5 82.812 (81.374)
Epoch: [70][940/14090]	Time 0.731 (0.795)	Data 0.001 (0.035)	Loss 1.6684 (1.8371)	Prec@1 52.344 (52.167)	Prec@5 89.062 (81.392)
Epoch: [70][950/14090]	Time 0.728 (0.795)	Data 0.001 (0.034)	Loss 1.6048 (1.8366)	Prec@1 54.688 (52.167)	Prec@5 87.500 (81.404)
Epoch: [70][960/14090]	Time 0.749 (0.795)	Data 0.001 (0.034)	Loss 1.8516 (1.8360)	Prec@1 46.875 (52.171)	Prec@5 82.812 (81.414)
Epoch: [70][970/14090]	Time 0.731 (0.794)	Data 0.001 (0.034)	Loss 1.6551 (1.8364)	Prec@1 55.469 (52.170)	Prec@5 84.375 (81.404)
Epoch: [70][980/14090]	Time 0.771 (0.794)	Data 0.001 (0.033)	Loss 1.9268 (1.8372)	Prec@1 50.000 (52.149)	Prec@5 79.688 (81.400)
Epoch: [70][990/14090]	Time 0.869 (0.794)	Data 0.001 (0.033)	Loss 1.8497 (1.8368)	Prec@1 50.000 (52.147)	Prec@5 81.250 (81.408)
Epoch: [70][1000/14090]	Time 0.735 (0.793)	Data 0.001 (0.033)	Loss 1.8209 (1.8375)	Prec@1 53.125 (52.133)	Prec@5 80.469 (81.401)
Epoch: [70][1010/14090]	Time 0.735 (0.793)	Data 0.001 (0.032)	Loss 1.9833 (1.8382)	Prec@1 45.312 (52.103)	Prec@5 77.344 (81.398)
Epoch: [70][1020/14090]	Time 0.735 (0.793)	Data 0.001 (0.032)	Loss 1.9432 (1.8382)	Prec@1 49.219 (52.103)	Prec@5 82.031 (81.408)
Epoch: [70][1030/14090]	Time 0.733 (0.792)	Data 0.001 (0.032)	Loss 2.0595 (1.8383)	Prec@1 46.875 (52.095)	Prec@5 75.000 (81.404)
Epoch: [70][1040/14090]	Time 0.753 (0.792)	Data 0.001 (0.032)	Loss 2.0626 (1.8391)	Prec@1 48.438 (52.070)	Prec@5 79.688 (81.398)
Epoch: [70][1050/14090]	Time 0.754 (0.792)	Data 0.001 (0.031)	Loss 2.1704 (1.8389)	Prec@1 42.969 (52.077)	Prec@5 77.344 (81.398)
Epoch: [70][1060/14090]	Time 0.866 (0.791)	Data 0.001 (0.031)	Loss 1.9514 (1.8391)	Prec@1 48.438 (52.060)	Prec@5 77.344 (81.399)
Epoch: [70][1070/14090]	Time 0.721 (0.791)	Data 0.001 (0.031)	Loss 1.5695 (1.8389)	Prec@1 58.594 (52.042)	Prec@5 86.719 (81.408)
Epoch: [70][1080/14090]	Time 0.732 (0.791)	Data 0.001 (0.030)	Loss 1.7240 (1.8392)	Prec@1 55.469 (52.039)	Prec@5 83.594 (81.394)
Epoch: [70][1090/14090]	Time 0.733 (0.791)	Data 0.001 (0.030)	Loss 1.5884 (1.8388)	Prec@1 55.469 (52.043)	Prec@5 82.812 (81.392)
Epoch: [70][1100/14090]	Time 0.757 (0.790)	Data 0.001 (0.030)	Loss 1.9284 (1.8384)	Prec@1 49.219 (52.048)	Prec@5 79.688 (81.402)
Epoch: [70][1110/14090]	Time 0.728 (0.790)	Data 0.001 (0.030)	Loss 1.9464 (1.8384)	Prec@1 53.125 (52.045)	Prec@5 80.469 (81.408)
Epoch: [70][1120/14090]	Time 0.731 (0.790)	Data 0.001 (0.029)	Loss 1.6968 (1.8373)	Prec@1 58.594 (52.064)	Prec@5 85.156 (81.429)
Epoch: [70][1130/14090]	Time 0.881 (0.790)	Data 0.001 (0.029)	Loss 1.7481 (1.8385)	Prec@1 57.031 (52.053)	Prec@5 82.812 (81.407)
Epoch: [70][1140/14090]	Time 0.784 (0.789)	Data 0.001 (0.029)	Loss 1.6758 (1.8384)	Prec@1 52.344 (52.048)	Prec@5 81.250 (81.399)
Epoch: [70][1150/14090]	Time 0.748 (0.789)	Data 0.001 (0.029)	Loss 2.2112 (1.8389)	Prec@1 42.969 (52.034)	Prec@5 75.000 (81.391)
Epoch: [70][1160/14090]	Time 0.728 (0.789)	Data 0.001 (0.028)	Loss 1.8702 (1.8385)	Prec@1 53.125 (52.054)	Prec@5 82.812 (81.403)
Epoch: [70][1170/14090]	Time 0.730 (0.789)	Data 0.001 (0.028)	Loss 1.8075 (1.8380)	Prec@1 51.562 (52.068)	Prec@5 82.031 (81.411)
Epoch: [70][1180/14090]	Time 0.756 (0.788)	Data 0.001 (0.028)	Loss 1.6337 (1.8373)	Prec@1 56.250 (52.083)	Prec@5 84.375 (81.421)
Epoch: [70][1190/14090]	Time 0.756 (0.788)	Data 0.001 (0.028)	Loss 1.8248 (1.8377)	Prec@1 50.000 (52.065)	Prec@5 82.812 (81.418)
Epoch: [70][1200/14090]	Time 0.860 (0.788)	Data 0.001 (0.027)	Loss 1.8847 (1.8368)	Prec@1 52.344 (52.075)	Prec@5 82.031 (81.443)
Epoch: [70][1210/14090]	Time 0.744 (0.788)	Data 0.001 (0.027)	Loss 1.7405 (1.8364)	Prec@1 54.688 (52.091)	Prec@5 86.719 (81.452)
Epoch: [70][1220/14090]	Time 0.752 (0.788)	Data 0.001 (0.027)	Loss 1.8554 (1.8367)	Prec@1 50.000 (52.082)	Prec@5 88.281 (81.447)
Epoch: [70][1230/14090]	Time 0.764 (0.787)	Data 0.001 (0.027)	Loss 1.8492 (1.8367)	Prec@1 51.562 (52.074)	Prec@5 84.375 (81.451)
Epoch: [70][1240/14090]	Time 0.738 (0.787)	Data 0.001 (0.027)	Loss 1.7459 (1.8365)	Prec@1 51.562 (52.067)	Prec@5 79.688 (81.461)
Epoch: [70][1250/14090]	Time 0.754 (0.787)	Data 0.001 (0.026)	Loss 1.8208 (1.8362)	Prec@1 53.906 (52.076)	Prec@5 85.156 (81.467)
Epoch: [70][1260/14090]	Time 0.743 (0.787)	Data 0.001 (0.026)	Loss 1.6953 (1.8363)	Prec@1 56.250 (52.069)	Prec@5 82.031 (81.458)
Epoch: [70][1270/14090]	Time 0.885 (0.787)	Data 0.001 (0.026)	Loss 1.6315 (1.8354)	Prec@1 56.250 (52.100)	Prec@5 89.062 (81.474)
Epoch: [70][1280/14090]	Time 0.738 (0.786)	Data 0.001 (0.026)	Loss 1.6482 (1.8349)	Prec@1 55.469 (52.113)	Prec@5 85.156 (81.482)
Epoch: [70][1290/14090]	Time 0.761 (0.786)	Data 0.001 (0.026)	Loss 1.9995 (1.8352)	Prec@1 54.688 (52.106)	Prec@5 72.656 (81.471)
Epoch: [70][1300/14090]	Time 0.748 (0.786)	Data 0.001 (0.025)	Loss 1.8086 (1.8359)	Prec@1 46.875 (52.079)	Prec@5 85.156 (81.469)
Epoch: [70][1310/14090]	Time 0.757 (0.786)	Data 0.001 (0.025)	Loss 1.5969 (1.8356)	Prec@1 52.344 (52.095)	Prec@5 89.062 (81.476)
Epoch: [70][1320/14090]	Time 0.753 (0.786)	Data 0.001 (0.025)	Loss 2.0929 (1.8355)	Prec@1 42.969 (52.094)	Prec@5 75.781 (81.475)
Epoch: [70][1330/14090]	Time 0.759 (0.785)	Data 0.001 (0.025)	Loss 1.7597 (1.8359)	Prec@1 56.250 (52.079)	Prec@5 82.812 (81.468)
Epoch: [70][1340/14090]	Time 0.835 (0.785)	Data 0.001 (0.025)	Loss 1.9127 (1.8361)	Prec@1 49.219 (52.082)	Prec@5 79.688 (81.467)
Epoch: [70][1350/14090]	Time 0.738 (0.785)	Data 0.001 (0.024)	Loss 1.7177 (1.8365)	Prec@1 53.906 (52.078)	Prec@5 82.812 (81.456)
Epoch: [70][1360/14090]	Time 0.732 (0.785)	Data 0.001 (0.024)	Loss 1.7634 (1.8365)	Prec@1 46.094 (52.072)	Prec@5 85.156 (81.461)
Epoch: [70][1370/14090]	Time 0.786 (0.785)	Data 0.001 (0.024)	Loss 2.2010 (1.8365)	Prec@1 50.781 (52.084)	Prec@5 75.781 (81.463)
Epoch: [70][1380/14090]	Time 0.723 (0.785)	Data 0.001 (0.024)	Loss 1.6048 (1.8363)	Prec@1 56.250 (52.085)	Prec@5 83.594 (81.468)
Epoch: [70][1390/14090]	Time 0.729 (0.784)	Data 0.001 (0.024)	Loss 1.7845 (1.8361)	Prec@1 56.250 (52.091)	Prec@5 80.469 (81.468)
Epoch: [70][1400/14090]	Time 0.742 (0.784)	Data 0.001 (0.024)	Loss 1.5584 (1.8358)	Prec@1 59.375 (52.093)	Prec@5 85.938 (81.476)
Epoch: [70][1410/14090]	Time 0.929 (0.784)	Data 0.001 (0.023)	Loss 1.6949 (1.8359)	Prec@1 56.250 (52.087)	Prec@5 85.156 (81.475)
Epoch: [70][1420/14090]	Time 0.733 (0.784)	Data 0.001 (0.023)	Loss 1.8518 (1.8362)	Prec@1 56.250 (52.094)	Prec@5 84.375 (81.468)
Epoch: [70][1430/14090]	Time 0.726 (0.784)	Data 0.001 (0.023)	Loss 1.5722 (1.8356)	Prec@1 52.344 (52.100)	Prec@5 86.719 (81.470)
Epoch: [70][1440/14090]	Time 0.742 (0.784)	Data 0.001 (0.023)	Loss 1.8089 (1.8355)	Prec@1 47.656 (52.106)	Prec@5 83.594 (81.472)
Epoch: [70][1450/14090]	Time 0.744 (0.784)	Data 0.001 (0.023)	Loss 1.7278 (1.8355)	Prec@1 56.250 (52.101)	Prec@5 84.375 (81.473)
Epoch: [70][1460/14090]	Time 0.754 (0.783)	Data 0.001 (0.023)	Loss 1.9994 (1.8357)	Prec@1 50.000 (52.103)	Prec@5 76.562 (81.464)
Epoch: [70][1470/14090]	Time 0.770 (0.783)	Data 0.001 (0.023)	Loss 1.9002 (1.8358)	Prec@1 51.562 (52.104)	Prec@5 82.812 (81.468)
Epoch: [70][1480/14090]	Time 0.834 (0.783)	Data 0.001 (0.022)	Loss 1.9911 (1.8359)	Prec@1 50.000 (52.108)	Prec@5 82.031 (81.473)
Epoch: [70][1490/14090]	Time 0.731 (0.783)	Data 0.001 (0.022)	Loss 1.8376 (1.8357)	Prec@1 47.656 (52.102)	Prec@5 82.031 (81.477)
Epoch: [70][1500/14090]	Time 0.732 (0.783)	Data 0.001 (0.022)	Loss 1.7709 (1.8362)	Prec@1 50.781 (52.100)	Prec@5 82.031 (81.471)
Epoch: [70][1510/14090]	Time 0.759 (0.783)	Data 0.001 (0.022)	Loss 1.6702 (1.8366)	Prec@1 61.719 (52.087)	Prec@5 82.812 (81.462)
Epoch: [70][1520/14090]	Time 0.746 (0.783)	Data 0.001 (0.022)	Loss 2.0361 (1.8370)	Prec@1 42.969 (52.073)	Prec@5 75.000 (81.456)
Epoch: [70][1530/14090]	Time 0.734 (0.782)	Data 0.001 (0.022)	Loss 1.9769 (1.8372)	Prec@1 50.781 (52.056)	Prec@5 81.250 (81.452)
Epoch: [70][1540/14090]	Time 0.737 (0.782)	Data 0.001 (0.022)	Loss 1.8308 (1.8366)	Prec@1 53.906 (52.078)	Prec@5 82.812 (81.461)
Epoch: [70][1550/14090]	Time 0.869 (0.782)	Data 0.001 (0.021)	Loss 1.6384 (1.8364)	Prec@1 60.156 (52.087)	Prec@5 86.719 (81.464)
Epoch: [70][1560/14090]	Time 0.731 (0.782)	Data 0.001 (0.021)	Loss 1.7205 (1.8362)	Prec@1 53.125 (52.084)	Prec@5 82.812 (81.465)
Epoch: [70][1570/14090]	Time 0.727 (0.782)	Data 0.001 (0.021)	Loss 1.5545 (1.8361)	Prec@1 54.688 (52.085)	Prec@5 85.938 (81.463)
Epoch: [70][1580/14090]	Time 0.762 (0.782)	Data 0.001 (0.021)	Loss 2.2114 (1.8371)	Prec@1 47.656 (52.065)	Prec@5 78.125 (81.451)
Epoch: [70][1590/14090]	Time 0.751 (0.782)	Data 0.001 (0.021)	Loss 2.0130 (1.8368)	Prec@1 55.469 (52.078)	Prec@5 78.125 (81.452)
Epoch: [70][1600/14090]	Time 0.749 (0.782)	Data 0.001 (0.021)	Loss 1.7075 (1.8364)	Prec@1 53.125 (52.085)	Prec@5 87.500 (81.463)
Epoch: [70][1610/14090]	Time 0.722 (0.781)	Data 0.001 (0.021)	Loss 1.5798 (1.8367)	Prec@1 60.156 (52.073)	Prec@5 81.250 (81.454)
Epoch: [70][1620/14090]	Time 0.885 (0.781)	Data 0.001 (0.021)	Loss 1.8463 (1.8365)	Prec@1 50.000 (52.073)	Prec@5 81.250 (81.453)
Epoch: [70][1630/14090]	Time 0.749 (0.781)	Data 0.001 (0.020)	Loss 1.9135 (1.8360)	Prec@1 51.562 (52.087)	Prec@5 79.688 (81.463)
Epoch: [70][1640/14090]	Time 0.749 (0.781)	Data 0.001 (0.020)	Loss 1.6291 (1.8364)	Prec@1 56.250 (52.067)	Prec@5 85.156 (81.457)
Epoch: [70][1650/14090]	Time 0.754 (0.781)	Data 0.001 (0.020)	Loss 1.6690 (1.8364)	Prec@1 52.344 (52.062)	Prec@5 87.500 (81.453)
Epoch: [70][1660/14090]	Time 0.727 (0.781)	Data 0.001 (0.020)	Loss 1.8438 (1.8364)	Prec@1 50.781 (52.056)	Prec@5 82.031 (81.455)
Epoch: [70][1670/14090]	Time 0.750 (0.781)	Data 0.001 (0.020)	Loss 1.8580 (1.8363)	Prec@1 50.000 (52.061)	Prec@5 82.812 (81.461)
Epoch: [70][1680/14090]	Time 0.745 (0.781)	Data 0.001 (0.020)	Loss 1.7447 (1.8359)	Prec@1 53.906 (52.073)	Prec@5 82.031 (81.465)
Epoch: [70][1690/14090]	Time 0.901 (0.781)	Data 0.001 (0.020)	Loss 1.7897 (1.8361)	Prec@1 51.562 (52.068)	Prec@5 82.031 (81.455)
Epoch: [70][1700/14090]	Time 0.744 (0.780)	Data 0.001 (0.020)	Loss 1.7986 (1.8366)	Prec@1 59.375 (52.070)	Prec@5 85.156 (81.454)
Epoch: [70][1710/14090]	Time 0.757 (0.780)	Data 0.001 (0.019)	Loss 1.9067 (1.8368)	Prec@1 53.125 (52.070)	Prec@5 78.906 (81.449)
Epoch: [70][1720/14090]	Time 0.746 (0.780)	Data 0.001 (0.019)	Loss 1.6920 (1.8364)	Prec@1 57.031 (52.071)	Prec@5 84.375 (81.464)
Epoch: [70][1730/14090]	Time 0.740 (0.780)	Data 0.001 (0.019)	Loss 1.6921 (1.8363)	Prec@1 57.031 (52.071)	Prec@5 80.469 (81.467)
Epoch: [70][1740/14090]	Time 0.753 (0.780)	Data 0.001 (0.019)	Loss 1.7651 (1.8362)	Prec@1 50.781 (52.066)	Prec@5 83.594 (81.473)
Epoch: [70][1750/14090]	Time 0.750 (0.780)	Data 0.001 (0.019)	Loss 1.9745 (1.8364)	Prec@1 52.344 (52.062)	Prec@5 80.469 (81.469)
Epoch: [70][1760/14090]	Time 0.856 (0.780)	Data 0.001 (0.019)	Loss 1.8799 (1.8361)	Prec@1 44.531 (52.064)	Prec@5 85.156 (81.481)
Epoch: [70][1770/14090]	Time 0.736 (0.780)	Data 0.001 (0.019)	Loss 1.6657 (1.8357)	Prec@1 53.125 (52.069)	Prec@5 86.719 (81.494)
Epoch: [70][1780/14090]	Time 0.736 (0.780)	Data 0.001 (0.019)	Loss 1.6776 (1.8355)	Prec@1 51.562 (52.071)	Prec@5 82.812 (81.497)
Epoch: [70][1790/14090]	Time 0.751 (0.779)	Data 0.001 (0.019)	Loss 1.8513 (1.8353)	Prec@1 52.344 (52.079)	Prec@5 83.594 (81.500)
Epoch: [70][1800/14090]	Time 0.733 (0.779)	Data 0.001 (0.019)	Loss 1.8214 (1.8351)	Prec@1 58.594 (52.083)	Prec@5 78.125 (81.500)
Epoch: [70][1810/14090]	Time 0.740 (0.779)	Data 0.001 (0.018)	Loss 2.1825 (1.8352)	Prec@1 46.875 (52.080)	Prec@5 75.781 (81.499)
Epoch: [70][1820/14090]	Time 0.728 (0.779)	Data 0.001 (0.018)	Loss 2.0132 (1.8358)	Prec@1 42.188 (52.058)	Prec@5 82.812 (81.495)
Epoch: [70][1830/14090]	Time 0.882 (0.779)	Data 0.001 (0.018)	Loss 1.9605 (1.8358)	Prec@1 47.656 (52.060)	Prec@5 82.031 (81.496)
Epoch: [70][1840/14090]	Time 0.735 (0.779)	Data 0.001 (0.018)	Loss 2.1153 (1.8356)	Prec@1 47.656 (52.060)	Prec@5 75.000 (81.494)
Epoch: [70][1850/14090]	Time 0.730 (0.779)	Data 0.001 (0.018)	Loss 1.9282 (1.8354)	Prec@1 50.000 (52.068)	Prec@5 82.031 (81.501)
Epoch: [70][1860/14090]	Time 0.742 (0.779)	Data 0.001 (0.018)	Loss 2.0932 (1.8359)	Prec@1 49.219 (52.070)	Prec@5 76.562 (81.492)
Epoch: [70][1870/14090]	Time 0.751 (0.779)	Data 0.001 (0.018)	Loss 1.9051 (1.8359)	Prec@1 50.781 (52.061)	Prec@5 77.344 (81.489)
Epoch: [70][1880/14090]	Time 0.741 (0.779)	Data 0.001 (0.018)	Loss 1.7058 (1.8363)	Prec@1 54.688 (52.050)	Prec@5 87.500 (81.480)
Epoch: [70][1890/14090]	Time 0.738 (0.778)	Data 0.001 (0.018)	Loss 1.9738 (1.8364)	Prec@1 51.562 (52.050)	Prec@5 77.344 (81.480)
Epoch: [70][1900/14090]	Time 0.872 (0.778)	Data 0.001 (0.018)	Loss 2.0840 (1.8369)	Prec@1 50.781 (52.040)	Prec@5 74.219 (81.467)
Epoch: [70][1910/14090]	Time 0.726 (0.778)	Data 0.001 (0.018)	Loss 1.8999 (1.8372)	Prec@1 56.250 (52.035)	Prec@5 78.125 (81.461)
Epoch: [70][1920/14090]	Time 0.727 (0.778)	Data 0.001 (0.017)	Loss 1.8977 (1.8369)	Prec@1 52.344 (52.036)	Prec@5 78.906 (81.465)
Epoch: [70][1930/14090]	Time 0.775 (0.778)	Data 0.001 (0.017)	Loss 1.7642 (1.8372)	Prec@1 53.906 (52.031)	Prec@5 85.156 (81.465)
Epoch: [70][1940/14090]	Time 0.761 (0.778)	Data 0.001 (0.017)	Loss 1.9960 (1.8375)	Prec@1 44.531 (52.017)	Prec@5 76.562 (81.458)
Epoch: [70][1950/14090]	Time 0.728 (0.778)	Data 0.001 (0.017)	Loss 1.8725 (1.8378)	Prec@1 48.438 (52.011)	Prec@5 80.469 (81.452)
Epoch: [70][1960/14090]	Time 0.756 (0.778)	Data 0.001 (0.017)	Loss 1.6538 (1.8382)	Prec@1 53.906 (52.009)	Prec@5 85.156 (81.444)
Epoch: [70][1970/14090]	Time 0.876 (0.778)	Data 0.001 (0.017)	Loss 2.1884 (1.8385)	Prec@1 44.531 (52.007)	Prec@5 77.344 (81.446)
Epoch: [70][1980/14090]	Time 0.729 (0.778)	Data 0.001 (0.017)	Loss 1.6219 (1.8388)	Prec@1 56.250 (52.003)	Prec@5 86.719 (81.437)
Epoch: [70][1990/14090]	Time 0.726 (0.778)	Data 0.001 (0.017)	Loss 1.9303 (1.8388)	Prec@1 51.562 (51.998)	Prec@5 83.594 (81.440)
Epoch: [70][2000/14090]	Time 0.749 (0.778)	Data 0.001 (0.017)	Loss 1.8434 (1.8386)	Prec@1 48.438 (52.000)	Prec@5 84.375 (81.443)
Epoch: [70][2010/14090]	Time 0.720 (0.777)	Data 0.001 (0.017)	Loss 1.8306 (1.8388)	Prec@1 53.125 (51.994)	Prec@5 81.250 (81.438)
Epoch: [70][2020/14090]	Time 0.739 (0.777)	Data 0.001 (0.017)	Loss 1.5878 (1.8389)	Prec@1 57.031 (51.992)	Prec@5 85.938 (81.436)
Epoch: [70][2030/14090]	Time 0.735 (0.777)	Data 0.001 (0.017)	Loss 1.8059 (1.8391)	Prec@1 46.875 (51.977)	Prec@5 78.906 (81.437)
Epoch: [70][2040/14090]	Time 0.852 (0.777)	Data 0.001 (0.016)	Loss 1.7327 (1.8391)	Prec@1 53.906 (51.982)	Prec@5 85.156 (81.434)
Epoch: [70][2050/14090]	Time 0.776 (0.777)	Data 0.001 (0.016)	Loss 2.0605 (1.8390)	Prec@1 47.656 (51.983)	Prec@5 78.906 (81.435)
Epoch: [70][2060/14090]	Time 0.754 (0.777)	Data 0.001 (0.016)	Loss 1.7683 (1.8385)	Prec@1 53.125 (51.996)	Prec@5 82.031 (81.441)
Epoch: [70][2070/14090]	Time 0.725 (0.777)	Data 0.001 (0.016)	Loss 1.9212 (1.8387)	Prec@1 48.438 (51.985)	Prec@5 82.031 (81.441)
Epoch: [70][2080/14090]	Time 0.731 (0.777)	Data 0.001 (0.016)	Loss 1.8676 (1.8390)	Prec@1 53.125 (51.978)	Prec@5 79.688 (81.437)
Epoch: [70][2090/14090]	Time 0.746 (0.777)	Data 0.001 (0.016)	Loss 1.8828 (1.8386)	Prec@1 50.781 (51.986)	Prec@5 80.469 (81.439)
Epoch: [70][2100/14090]	Time 0.737 (0.777)	Data 0.001 (0.016)	Loss 2.0076 (1.8388)	Prec@1 53.125 (51.981)	Prec@5 76.562 (81.435)
Epoch: [70][2110/14090]	Time 0.842 (0.777)	Data 0.001 (0.016)	Loss 1.9098 (1.8387)	Prec@1 51.562 (51.988)	Prec@5 79.688 (81.434)
Epoch: [70][2120/14090]	Time 0.743 (0.777)	Data 0.001 (0.016)	Loss 1.5857 (1.8388)	Prec@1 59.375 (51.988)	Prec@5 85.156 (81.430)
Epoch: [70][2130/14090]	Time 0.738 (0.776)	Data 0.001 (0.016)	Loss 2.0423 (1.8389)	Prec@1 47.656 (51.986)	Prec@5 76.562 (81.429)
Epoch: [70][2140/14090]	Time 0.786 (0.776)	Data 0.001 (0.016)	Loss 1.8090 (1.8389)	Prec@1 57.812 (51.987)	Prec@5 78.906 (81.427)
Epoch: [70][2150/14090]	Time 0.740 (0.776)	Data 0.001 (0.016)	Loss 1.7503 (1.8392)	Prec@1 53.125 (51.978)	Prec@5 85.156 (81.425)
Epoch: [70][2160/14090]	Time 0.750 (0.776)	Data 0.001 (0.016)	Loss 1.8160 (1.8391)	Prec@1 54.688 (51.976)	Prec@5 82.031 (81.430)
Epoch: [70][2170/14090]	Time 0.751 (0.776)	Data 0.001 (0.016)	Loss 1.7924 (1.8391)	Prec@1 56.250 (51.982)	Prec@5 79.688 (81.425)
Epoch: [70][2180/14090]	Time 0.872 (0.776)	Data 0.001 (0.015)	Loss 1.7433 (1.8389)	Prec@1 49.219 (51.987)	Prec@5 83.594 (81.435)
Epoch: [70][2190/14090]	Time 0.728 (0.776)	Data 0.001 (0.015)	Loss 1.7245 (1.8390)	Prec@1 58.594 (51.991)	Prec@5 81.250 (81.429)
Epoch: [70][2200/14090]	Time 0.733 (0.776)	Data 0.001 (0.015)	Loss 1.5690 (1.8390)	Prec@1 60.156 (51.997)	Prec@5 85.156 (81.430)
Epoch: [70][2210/14090]	Time 0.756 (0.776)	Data 0.001 (0.015)	Loss 1.7956 (1.8389)	Prec@1 51.562 (51.998)	Prec@5 82.812 (81.436)
Epoch: [70][2220/14090]	Time 0.745 (0.776)	Data 0.001 (0.015)	Loss 1.9526 (1.8389)	Prec@1 46.875 (51.988)	Prec@5 75.000 (81.435)
Epoch: [70][2230/14090]	Time 0.755 (0.776)	Data 0.001 (0.015)	Loss 1.8879 (1.8392)	Prec@1 53.906 (51.986)	Prec@5 79.688 (81.433)
Epoch: [70][2240/14090]	Time 0.763 (0.776)	Data 0.001 (0.015)	Loss 1.9644 (1.8394)	Prec@1 46.875 (51.976)	Prec@5 80.469 (81.433)
Epoch: [70][2250/14090]	Time 0.891 (0.776)	Data 0.001 (0.015)	Loss 1.7738 (1.8393)	Prec@1 53.906 (51.977)	Prec@5 81.250 (81.434)
Epoch: [70][2260/14090]	Time 0.745 (0.776)	Data 0.001 (0.015)	Loss 1.8307 (1.8393)	Prec@1 60.156 (51.986)	Prec@5 78.125 (81.430)
Epoch: [70][2270/14090]	Time 0.734 (0.775)	Data 0.001 (0.015)	Loss 1.8950 (1.8390)	Prec@1 49.219 (51.988)	Prec@5 81.250 (81.437)
Epoch: [70][2280/14090]	Time 0.728 (0.775)	Data 0.001 (0.015)	Loss 1.7215 (1.8389)	Prec@1 55.469 (51.993)	Prec@5 82.812 (81.438)
Epoch: [70][2290/14090]	Time 0.732 (0.775)	Data 0.001 (0.015)	Loss 1.9876 (1.8392)	Prec@1 50.781 (51.990)	Prec@5 81.250 (81.432)
Epoch: [70][2300/14090]	Time 0.754 (0.775)	Data 0.001 (0.015)	Loss 1.7359 (1.8394)	Prec@1 54.688 (51.981)	Prec@5 82.812 (81.431)
Epoch: [70][2310/14090]	Time 0.724 (0.775)	Data 0.001 (0.015)	Loss 1.8391 (1.8397)	Prec@1 50.781 (51.972)	Prec@5 81.250 (81.421)
Epoch: [70][2320/14090]	Time 0.856 (0.775)	Data 0.001 (0.015)	Loss 1.9576 (1.8396)	Prec@1 48.438 (51.968)	Prec@5 82.031 (81.426)
Epoch: [70][2330/14090]	Time 0.743 (0.775)	Data 0.001 (0.014)	Loss 1.9750 (1.8397)	Prec@1 48.438 (51.963)	Prec@5 78.125 (81.429)
Epoch: [70][2340/14090]	Time 0.767 (0.775)	Data 0.001 (0.014)	Loss 1.9807 (1.8398)	Prec@1 52.344 (51.958)	Prec@5 77.344 (81.422)
Epoch: [70][2350/14090]	Time 0.730 (0.775)	Data 0.001 (0.014)	Loss 1.6755 (1.8396)	Prec@1 55.469 (51.964)	Prec@5 82.812 (81.425)
Epoch: [70][2360/14090]	Time 0.761 (0.775)	Data 0.001 (0.014)	Loss 2.0942 (1.8398)	Prec@1 53.125 (51.964)	Prec@5 79.688 (81.420)
Epoch: [70][2370/14090]	Time 0.755 (0.775)	Data 0.001 (0.014)	Loss 1.9598 (1.8395)	Prec@1 51.562 (51.964)	Prec@5 79.688 (81.426)
Epoch: [70][2380/14090]	Time 0.771 (0.775)	Data 0.001 (0.014)	Loss 1.6925 (1.8395)	Prec@1 56.250 (51.966)	Prec@5 84.375 (81.420)
Epoch: [70][2390/14090]	Time 0.883 (0.775)	Data 0.001 (0.014)	Loss 1.5125 (1.8395)	Prec@1 53.906 (51.960)	Prec@5 85.156 (81.421)
Epoch: [70][2400/14090]	Time 0.729 (0.775)	Data 0.001 (0.014)	Loss 1.4712 (1.8397)	Prec@1 57.812 (51.956)	Prec@5 89.062 (81.419)
Epoch: [70][2410/14090]	Time 0.763 (0.775)	Data 0.001 (0.014)	Loss 1.7789 (1.8394)	Prec@1 55.469 (51.970)	Prec@5 82.812 (81.427)
Epoch: [70][2420/14090]	Time 0.747 (0.775)	Data 0.001 (0.014)	Loss 1.7311 (1.8390)	Prec@1 52.344 (51.977)	Prec@5 82.812 (81.436)
Epoch: [70][2430/14090]	Time 0.740 (0.775)	Data 0.001 (0.014)	Loss 1.7361 (1.8387)	Prec@1 63.281 (51.983)	Prec@5 80.469 (81.442)
Epoch: [70][2440/14090]	Time 0.759 (0.775)	Data 0.001 (0.014)	Loss 1.6322 (1.8384)	Prec@1 56.250 (51.986)	Prec@5 83.594 (81.446)
Epoch: [70][2450/14090]	Time 0.764 (0.775)	Data 0.001 (0.014)	Loss 1.8389 (1.8383)	Prec@1 47.656 (51.985)	Prec@5 79.688 (81.449)
Epoch: [70][2460/14090]	Time 0.868 (0.774)	Data 0.001 (0.014)	Loss 1.8284 (1.8383)	Prec@1 54.688 (51.986)	Prec@5 82.812 (81.450)
Epoch: [70][2470/14090]	Time 0.755 (0.774)	Data 0.001 (0.014)	Loss 1.8608 (1.8385)	Prec@1 45.312 (51.975)	Prec@5 82.812 (81.447)
Epoch: [70][2480/14090]	Time 0.747 (0.774)	Data 0.001 (0.014)	Loss 1.7915 (1.8383)	Prec@1 51.562 (51.974)	Prec@5 81.250 (81.446)
Epoch: [70][2490/14090]	Time 0.776 (0.774)	Data 0.001 (0.014)	Loss 2.0145 (1.8387)	Prec@1 46.094 (51.967)	Prec@5 82.812 (81.441)
Epoch: [70][2500/14090]	Time 0.755 (0.774)	Data 0.001 (0.014)	Loss 2.1076 (1.8389)	Prec@1 46.094 (51.966)	Prec@5 78.906 (81.435)
Epoch: [70][2510/14090]	Time 0.739 (0.774)	Data 0.001 (0.014)	Loss 1.9116 (1.8391)	Prec@1 51.562 (51.961)	Prec@5 80.469 (81.431)
Epoch: [70][2520/14090]	Time 0.754 (0.774)	Data 0.001 (0.013)	Loss 1.9335 (1.8390)	Prec@1 50.000 (51.960)	Prec@5 81.250 (81.435)
Epoch: [70][2530/14090]	Time 0.867 (0.774)	Data 0.001 (0.013)	Loss 2.0058 (1.8390)	Prec@1 43.750 (51.962)	Prec@5 82.031 (81.440)
Epoch: [70][2540/14090]	Time 0.729 (0.774)	Data 0.001 (0.013)	Loss 1.7805 (1.8390)	Prec@1 51.562 (51.963)	Prec@5 86.719 (81.444)
Epoch: [70][2550/14090]	Time 0.744 (0.774)	Data 0.001 (0.013)	Loss 1.7106 (1.8389)	Prec@1 57.031 (51.965)	Prec@5 85.156 (81.451)
Epoch: [70][2560/14090]	Time 0.746 (0.774)	Data 0.001 (0.013)	Loss 2.0343 (1.8390)	Prec@1 49.219 (51.968)	Prec@5 79.688 (81.453)
Epoch: [70][2570/14090]	Time 0.758 (0.774)	Data 0.001 (0.013)	Loss 1.6346 (1.8390)	Prec@1 55.469 (51.969)	Prec@5 85.156 (81.456)
Epoch: [70][2580/14090]	Time 0.743 (0.774)	Data 0.001 (0.013)	Loss 1.9341 (1.8391)	Prec@1 48.438 (51.968)	Prec@5 85.156 (81.462)
Epoch: [70][2590/14090]	Time 0.769 (0.774)	Data 0.001 (0.013)	Loss 2.1005 (1.8394)	Prec@1 49.219 (51.963)	Prec@5 80.469 (81.459)
Epoch: [70][2600/14090]	Time 0.833 (0.774)	Data 0.001 (0.013)	Loss 1.7310 (1.8395)	Prec@1 53.906 (51.965)	Prec@5 82.031 (81.456)
Epoch: [70][2610/14090]	Time 0.727 (0.774)	Data 0.001 (0.013)	Loss 1.7694 (1.8392)	Prec@1 54.688 (51.970)	Prec@5 82.031 (81.461)
Epoch: [70][2620/14090]	Time 0.733 (0.774)	Data 0.001 (0.013)	Loss 1.8298 (1.8393)	Prec@1 50.781 (51.968)	Prec@5 78.906 (81.458)
Epoch: [70][2630/14090]	Time 0.723 (0.774)	Data 0.001 (0.013)	Loss 1.7216 (1.8390)	Prec@1 53.125 (51.968)	Prec@5 84.375 (81.468)
Epoch: [70][2640/14090]	Time 0.745 (0.773)	Data 0.001 (0.013)	Loss 1.7728 (1.8390)	Prec@1 54.688 (51.972)	Prec@5 82.812 (81.465)
Epoch: [70][2650/14090]	Time 0.753 (0.773)	Data 0.001 (0.013)	Loss 1.9252 (1.8388)	Prec@1 53.906 (51.981)	Prec@5 82.031 (81.468)
Epoch: [70][2660/14090]	Time 0.751 (0.773)	Data 0.001 (0.013)	Loss 2.0561 (1.8385)	Prec@1 48.438 (51.987)	Prec@5 79.688 (81.472)
Epoch: [70][2670/14090]	Time 0.861 (0.773)	Data 0.001 (0.013)	Loss 2.1172 (1.8386)	Prec@1 44.531 (51.980)	Prec@5 76.562 (81.471)
Epoch: [70][2680/14090]	Time 0.768 (0.773)	Data 0.001 (0.013)	Loss 1.7461 (1.8389)	Prec@1 57.812 (51.970)	Prec@5 78.906 (81.472)
Epoch: [70][2690/14090]	Time 0.775 (0.773)	Data 0.001 (0.013)	Loss 1.8929 (1.8389)	Prec@1 51.562 (51.972)	Prec@5 76.562 (81.466)
Epoch: [70][2700/14090]	Time 0.743 (0.773)	Data 0.001 (0.013)	Loss 1.7734 (1.8391)	Prec@1 51.562 (51.967)	Prec@5 79.688 (81.463)
Epoch: [70][2710/14090]	Time 0.736 (0.773)	Data 0.001 (0.013)	Loss 1.7802 (1.8390)	Prec@1 48.438 (51.964)	Prec@5 84.375 (81.468)
Epoch: [70][2720/14090]	Time 0.753 (0.773)	Data 0.001 (0.013)	Loss 1.9791 (1.8391)	Prec@1 46.875 (51.959)	Prec@5 81.250 (81.471)
Epoch: [70][2730/14090]	Time 0.729 (0.773)	Data 0.001 (0.012)	Loss 2.0879 (1.8392)	Prec@1 42.969 (51.954)	Prec@5 76.562 (81.465)
Epoch: [70][2740/14090]	Time 0.856 (0.773)	Data 0.001 (0.012)	Loss 1.9704 (1.8395)	Prec@1 46.875 (51.950)	Prec@5 75.781 (81.450)
Epoch: [70][2750/14090]	Time 0.740 (0.773)	Data 0.001 (0.012)	Loss 1.9885 (1.8394)	Prec@1 47.656 (51.951)	Prec@5 79.688 (81.453)
Epoch: [70][2760/14090]	Time 0.730 (0.773)	Data 0.001 (0.012)	Loss 1.6458 (1.8393)	Prec@1 58.594 (51.951)	Prec@5 82.031 (81.452)
Epoch: [70][2770/14090]	Time 0.750 (0.773)	Data 0.001 (0.012)	Loss 1.9183 (1.8394)	Prec@1 50.781 (51.950)	Prec@5 76.562 (81.452)
Epoch: [70][2780/14090]	Time 0.747 (0.773)	Data 0.001 (0.012)	Loss 1.8804 (1.8397)	Prec@1 50.000 (51.939)	Prec@5 80.469 (81.447)
Epoch: [70][2790/14090]	Time 0.725 (0.773)	Data 0.001 (0.012)	Loss 1.9059 (1.8395)	Prec@1 51.562 (51.948)	Prec@5 81.250 (81.450)
Epoch: [70][2800/14090]	Time 0.759 (0.773)	Data 0.001 (0.012)	Loss 2.0965 (1.8394)	Prec@1 46.094 (51.947)	Prec@5 76.562 (81.450)
Epoch: [70][2810/14090]	Time 0.874 (0.773)	Data 0.001 (0.012)	Loss 1.8035 (1.8394)	Prec@1 55.469 (51.947)	Prec@5 83.594 (81.449)
Epoch: [70][2820/14090]	Time 0.745 (0.773)	Data 0.001 (0.012)	Loss 1.9276 (1.8395)	Prec@1 50.000 (51.943)	Prec@5 82.812 (81.451)
Epoch: [70][2830/14090]	Time 0.730 (0.773)	Data 0.001 (0.012)	Loss 1.8059 (1.8397)	Prec@1 51.562 (51.940)	Prec@5 85.156 (81.448)
Epoch: [70][2840/14090]	Time 0.759 (0.773)	Data 0.001 (0.012)	Loss 1.7819 (1.8400)	Prec@1 50.781 (51.931)	Prec@5 81.250 (81.441)
Epoch: [70][2850/14090]	Time 0.751 (0.773)	Data 0.001 (0.012)	Loss 1.5825 (1.8399)	Prec@1 54.688 (51.936)	Prec@5 89.062 (81.448)
Epoch: [70][2860/14090]	Time 0.726 (0.773)	Data 0.001 (0.012)	Loss 1.6121 (1.8397)	Prec@1 54.688 (51.935)	Prec@5 83.594 (81.451)
Epoch: [70][2870/14090]	Time 0.741 (0.772)	Data 0.001 (0.012)	Loss 1.6751 (1.8394)	Prec@1 59.375 (51.947)	Prec@5 85.156 (81.459)
Epoch: [70][2880/14090]	Time 0.860 (0.772)	Data 0.001 (0.012)	Loss 1.6385 (1.8392)	Prec@1 54.688 (51.948)	Prec@5 87.500 (81.463)
Epoch: [70][2890/14090]	Time 0.733 (0.772)	Data 0.001 (0.012)	Loss 1.7805 (1.8392)	Prec@1 50.000 (51.944)	Prec@5 82.812 (81.456)
Epoch: [70][2900/14090]	Time 0.764 (0.772)	Data 0.001 (0.012)	Loss 1.7139 (1.8391)	Prec@1 56.250 (51.946)	Prec@5 82.812 (81.456)
Epoch: [70][2910/14090]	Time 0.743 (0.772)	Data 0.001 (0.012)	Loss 2.0568 (1.8394)	Prec@1 43.750 (51.940)	Prec@5 76.562 (81.449)
Epoch: [70][2920/14090]	Time 0.732 (0.772)	Data 0.001 (0.012)	Loss 2.0369 (1.8396)	Prec@1 46.094 (51.936)	Prec@5 75.781 (81.446)
Epoch: [70][2930/14090]	Time 0.748 (0.772)	Data 0.001 (0.012)	Loss 2.2540 (1.8396)	Prec@1 41.406 (51.933)	Prec@5 74.219 (81.441)
Epoch: [70][2940/14090]	Time 0.764 (0.772)	Data 0.001 (0.012)	Loss 1.7420 (1.8394)	Prec@1 53.125 (51.933)	Prec@5 84.375 (81.447)
Epoch: [70][2950/14090]	Time 0.862 (0.772)	Data 0.001 (0.012)	Loss 1.8057 (1.8395)	Prec@1 57.031 (51.931)	Prec@5 82.031 (81.446)
Epoch: [70][2960/14090]	Time 0.719 (0.772)	Data 0.001 (0.012)	Loss 1.9016 (1.8394)	Prec@1 51.562 (51.936)	Prec@5 78.906 (81.445)
Epoch: [70][2970/14090]	Time 0.791 (0.772)	Data 0.001 (0.012)	Loss 1.9344 (1.8394)	Prec@1 50.781 (51.936)	Prec@5 78.125 (81.448)
Epoch: [70][2980/14090]	Time 0.754 (0.772)	Data 0.001 (0.012)	Loss 1.4545 (1.8392)	Prec@1 59.375 (51.941)	Prec@5 85.938 (81.451)
Epoch: [70][2990/14090]	Time 0.755 (0.772)	Data 0.001 (0.011)	Loss 1.9277 (1.8392)	Prec@1 47.656 (51.941)	Prec@5 82.031 (81.455)
Epoch: [70][3000/14090]	Time 0.776 (0.772)	Data 0.001 (0.011)	Loss 1.9292 (1.8391)	Prec@1 52.344 (51.942)	Prec@5 82.031 (81.457)
Epoch: [70][3010/14090]	Time 0.725 (0.772)	Data 0.001 (0.011)	Loss 2.0289 (1.8394)	Prec@1 51.562 (51.938)	Prec@5 83.594 (81.457)
Epoch: [70][3020/14090]	Time 0.860 (0.772)	Data 0.001 (0.011)	Loss 1.9958 (1.8396)	Prec@1 51.562 (51.933)	Prec@5 79.688 (81.452)
Epoch: [70][3030/14090]	Time 0.744 (0.772)	Data 0.001 (0.011)	Loss 1.8275 (1.8396)	Prec@1 49.219 (51.934)	Prec@5 82.031 (81.453)
Epoch: [70][3040/14090]	Time 0.733 (0.772)	Data 0.001 (0.011)	Loss 2.0202 (1.8398)	Prec@1 47.656 (51.931)	Prec@5 71.875 (81.448)
Epoch: [70][3050/14090]	Time 0.751 (0.772)	Data 0.001 (0.011)	Loss 1.6331 (1.8396)	Prec@1 57.031 (51.937)	Prec@5 84.375 (81.452)
Epoch: [70][3060/14090]	Time 0.771 (0.772)	Data 0.001 (0.011)	Loss 1.8112 (1.8393)	Prec@1 57.031 (51.941)	Prec@5 82.812 (81.457)
Epoch: [70][3070/14090]	Time 0.746 (0.772)	Data 0.001 (0.011)	Loss 1.8719 (1.8394)	Prec@1 50.000 (51.940)	Prec@5 82.031 (81.459)
Epoch: [70][3080/14090]	Time 0.746 (0.772)	Data 0.001 (0.011)	Loss 1.8722 (1.8394)	Prec@1 48.438 (51.938)	Prec@5 82.031 (81.459)
Epoch: [70][3090/14090]	Time 0.840 (0.772)	Data 0.001 (0.011)	Loss 1.9433 (1.8398)	Prec@1 52.344 (51.932)	Prec@5 83.594 (81.454)
Epoch: [70][3100/14090]	Time 0.761 (0.772)	Data 0.001 (0.011)	Loss 1.5584 (1.8399)	Prec@1 57.812 (51.931)	Prec@5 86.719 (81.449)
Epoch: [70][3110/14090]	Time 0.746 (0.772)	Data 0.001 (0.011)	Loss 1.8055 (1.8400)	Prec@1 50.781 (51.925)	Prec@5 83.594 (81.449)
Epoch: [70][3120/14090]	Time 0.748 (0.772)	Data 0.001 (0.011)	Loss 1.6889 (1.8401)	Prec@1 51.562 (51.925)	Prec@5 86.719 (81.448)
Epoch: [70][3130/14090]	Time 0.737 (0.772)	Data 0.001 (0.011)	Loss 1.9540 (1.8402)	Prec@1 46.094 (51.919)	Prec@5 81.250 (81.451)
Epoch: [70][3140/14090]	Time 0.778 (0.772)	Data 0.001 (0.011)	Loss 2.0444 (1.8402)	Prec@1 46.875 (51.915)	Prec@5 80.469 (81.451)
Epoch: [70][3150/14090]	Time 0.753 (0.771)	Data 0.001 (0.011)	Loss 1.8483 (1.8400)	Prec@1 53.125 (51.922)	Prec@5 78.125 (81.455)
Epoch: [70][3160/14090]	Time 0.852 (0.771)	Data 0.001 (0.011)	Loss 1.9160 (1.8400)	Prec@1 45.312 (51.922)	Prec@5 81.250 (81.458)
Epoch: [70][3170/14090]	Time 0.744 (0.771)	Data 0.001 (0.011)	Loss 1.8165 (1.8399)	Prec@1 56.250 (51.930)	Prec@5 80.469 (81.459)
Epoch: [70][3180/14090]	Time 0.746 (0.771)	Data 0.001 (0.011)	Loss 1.9354 (1.8399)	Prec@1 50.000 (51.928)	Prec@5 78.125 (81.459)
Epoch: [70][3190/14090]	Time 0.724 (0.771)	Data 0.001 (0.011)	Loss 1.9308 (1.8400)	Prec@1 43.750 (51.917)	Prec@5 82.031 (81.460)
Epoch: [70][3200/14090]	Time 0.774 (0.771)	Data 0.001 (0.011)	Loss 2.0900 (1.8401)	Prec@1 53.125 (51.918)	Prec@5 77.344 (81.460)
Epoch: [70][3210/14090]	Time 0.757 (0.771)	Data 0.001 (0.011)	Loss 1.9049 (1.8403)	Prec@1 55.469 (51.911)	Prec@5 77.344 (81.454)
Epoch: [70][3220/14090]	Time 0.728 (0.771)	Data 0.001 (0.011)	Loss 1.8581 (1.8404)	Prec@1 52.344 (51.909)	Prec@5 78.906 (81.450)
Epoch: [70][3230/14090]	Time 0.834 (0.771)	Data 0.001 (0.011)	Loss 1.9674 (1.8405)	Prec@1 44.531 (51.907)	Prec@5 80.469 (81.447)
Epoch: [70][3240/14090]	Time 0.752 (0.771)	Data 0.001 (0.011)	Loss 1.7931 (1.8405)	Prec@1 53.906 (51.910)	Prec@5 83.594 (81.447)
Epoch: [70][3250/14090]	Time 0.739 (0.771)	Data 0.001 (0.011)	Loss 1.7031 (1.8404)	Prec@1 61.719 (51.915)	Prec@5 82.812 (81.446)
Epoch: [70][3260/14090]	Time 0.730 (0.771)	Data 0.001 (0.011)	Loss 1.9362 (1.8405)	Prec@1 46.094 (51.913)	Prec@5 78.125 (81.444)
Epoch: [70][3270/14090]	Time 0.730 (0.771)	Data 0.001 (0.011)	Loss 1.7422 (1.8403)	Prec@1 55.469 (51.918)	Prec@5 83.594 (81.447)
Epoch: [70][3280/14090]	Time 0.753 (0.771)	Data 0.001 (0.011)	Loss 1.8662 (1.8403)	Prec@1 50.000 (51.911)	Prec@5 82.031 (81.444)
Epoch: [70][3290/14090]	Time 0.727 (0.771)	Data 0.001 (0.010)	Loss 1.9621 (1.8403)	Prec@1 56.250 (51.907)	Prec@5 78.906 (81.445)
Epoch: [70][3300/14090]	Time 0.854 (0.771)	Data 0.001 (0.010)	Loss 1.7034 (1.8403)	Prec@1 54.688 (51.906)	Prec@5 84.375 (81.448)
Epoch: [70][3310/14090]	Time 0.734 (0.771)	Data 0.001 (0.010)	Loss 1.6845 (1.8401)	Prec@1 54.688 (51.911)	Prec@5 82.031 (81.451)
Epoch: [70][3320/14090]	Time 0.747 (0.771)	Data 0.001 (0.010)	Loss 2.1709 (1.8404)	Prec@1 50.781 (51.910)	Prec@5 75.781 (81.444)
Epoch: [70][3330/14090]	Time 0.754 (0.771)	Data 0.001 (0.010)	Loss 1.7574 (1.8404)	Prec@1 53.906 (51.909)	Prec@5 82.812 (81.447)
Epoch: [70][3340/14090]	Time 0.737 (0.771)	Data 0.001 (0.010)	Loss 1.8281 (1.8406)	Prec@1 44.531 (51.899)	Prec@5 82.812 (81.445)
Epoch: [70][3350/14090]	Time 0.745 (0.771)	Data 0.001 (0.010)	Loss 1.7334 (1.8406)	Prec@1 58.594 (51.900)	Prec@5 81.250 (81.445)
Epoch: [70][3360/14090]	Time 0.733 (0.771)	Data 0.001 (0.010)	Loss 1.3920 (1.8405)	Prec@1 64.844 (51.904)	Prec@5 91.406 (81.448)
Epoch: [70][3370/14090]	Time 0.843 (0.771)	Data 0.001 (0.010)	Loss 1.7642 (1.8406)	Prec@1 57.031 (51.905)	Prec@5 80.469 (81.448)
Epoch: [70][3380/14090]	Time 0.747 (0.771)	Data 0.001 (0.010)	Loss 1.5314 (1.8405)	Prec@1 60.156 (51.912)	Prec@5 83.594 (81.451)
Epoch: [70][3390/14090]	Time 0.777 (0.771)	Data 0.001 (0.010)	Loss 1.7682 (1.8405)	Prec@1 50.781 (51.909)	Prec@5 83.594 (81.451)
Epoch: [70][3400/14090]	Time 0.728 (0.771)	Data 0.001 (0.010)	Loss 1.9550 (1.8403)	Prec@1 50.000 (51.919)	Prec@5 78.906 (81.454)
Epoch: [70][3410/14090]	Time 0.733 (0.771)	Data 0.001 (0.010)	Loss 2.0080 (1.8402)	Prec@1 44.531 (51.920)	Prec@5 79.688 (81.453)
Epoch: [70][3420/14090]	Time 0.759 (0.771)	Data 0.001 (0.010)	Loss 1.7019 (1.8400)	Prec@1 51.562 (51.921)	Prec@5 78.125 (81.454)
Epoch: [70][3430/14090]	Time 0.721 (0.771)	Data 0.001 (0.010)	Loss 1.6156 (1.8400)	Prec@1 58.594 (51.923)	Prec@5 84.375 (81.459)
Epoch: [70][3440/14090]	Time 0.846 (0.771)	Data 0.001 (0.010)	Loss 1.6461 (1.8397)	Prec@1 54.688 (51.932)	Prec@5 85.156 (81.461)
Epoch: [70][3450/14090]	Time 0.725 (0.771)	Data 0.001 (0.010)	Loss 1.3060 (1.8399)	Prec@1 67.188 (51.932)	Prec@5 90.625 (81.457)
Epoch: [70][3460/14090]	Time 0.768 (0.771)	Data 0.001 (0.010)	Loss 1.8917 (1.8399)	Prec@1 52.344 (51.934)	Prec@5 82.812 (81.454)
Epoch: [70][3470/14090]	Time 0.739 (0.771)	Data 0.001 (0.010)	Loss 1.8978 (1.8399)	Prec@1 53.906 (51.939)	Prec@5 82.812 (81.451)
Epoch: [70][3480/14090]	Time 0.742 (0.771)	Data 0.001 (0.010)	Loss 1.9500 (1.8400)	Prec@1 53.906 (51.941)	Prec@5 78.906 (81.447)
Epoch: [70][3490/14090]	Time 0.745 (0.771)	Data 0.001 (0.010)	Loss 1.6955 (1.8404)	Prec@1 53.125 (51.926)	Prec@5 81.250 (81.441)
Epoch: [70][3500/14090]	Time 0.741 (0.771)	Data 0.001 (0.010)	Loss 1.7112 (1.8403)	Prec@1 52.344 (51.928)	Prec@5 83.594 (81.442)
Epoch: [70][3510/14090]	Time 0.880 (0.771)	Data 0.001 (0.010)	Loss 1.8507 (1.8400)	Prec@1 53.125 (51.932)	Prec@5 82.031 (81.447)
Epoch: [70][3520/14090]	Time 0.737 (0.770)	Data 0.001 (0.010)	Loss 1.9427 (1.8401)	Prec@1 47.656 (51.933)	Prec@5 85.156 (81.445)
Epoch: [70][3530/14090]	Time 0.726 (0.770)	Data 0.001 (0.010)	Loss 1.5720 (1.8401)	Prec@1 57.812 (51.928)	Prec@5 84.375 (81.452)
Epoch: [70][3540/14090]	Time 0.756 (0.770)	Data 0.001 (0.010)	Loss 1.5441 (1.8400)	Prec@1 57.812 (51.926)	Prec@5 84.375 (81.450)
Epoch: [70][3550/14090]	Time 0.727 (0.770)	Data 0.001 (0.010)	Loss 1.8934 (1.8400)	Prec@1 50.781 (51.929)	Prec@5 80.469 (81.450)
Epoch: [70][3560/14090]	Time 0.757 (0.770)	Data 0.001 (0.010)	Loss 1.7889 (1.8402)	Prec@1 51.562 (51.925)	Prec@5 82.812 (81.447)
Epoch: [70][3570/14090]	Time 0.758 (0.770)	Data 0.001 (0.010)	Loss 2.2373 (1.8404)	Prec@1 43.750 (51.920)	Prec@5 74.219 (81.444)
Epoch: [70][3580/14090]	Time 0.856 (0.770)	Data 0.001 (0.010)	Loss 2.0827 (1.8405)	Prec@1 45.312 (51.913)	Prec@5 75.000 (81.439)
Epoch: [70][3590/14090]	Time 0.759 (0.770)	Data 0.001 (0.010)	Loss 1.5816 (1.8404)	Prec@1 63.281 (51.917)	Prec@5 83.594 (81.439)
Epoch: [70][3600/14090]	Time 0.756 (0.770)	Data 0.001 (0.010)	Loss 1.8513 (1.8405)	Prec@1 50.781 (51.920)	Prec@5 83.594 (81.439)
Epoch: [70][3610/14090]	Time 0.741 (0.770)	Data 0.001 (0.010)	Loss 1.9158 (1.8406)	Prec@1 54.688 (51.920)	Prec@5 78.125 (81.437)
Epoch: [70][3620/14090]	Time 0.740 (0.770)	Data 0.001 (0.010)	Loss 1.8805 (1.8408)	Prec@1 49.219 (51.920)	Prec@5 78.125 (81.434)
Epoch: [70][3630/14090]	Time 0.752 (0.770)	Data 0.001 (0.010)	Loss 1.9621 (1.8406)	Prec@1 50.000 (51.919)	Prec@5 80.469 (81.436)
Epoch: [70][3640/14090]	Time 0.729 (0.770)	Data 0.001 (0.010)	Loss 1.6427 (1.8408)	Prec@1 58.594 (51.916)	Prec@5 84.375 (81.430)
Epoch: [70][3650/14090]	Time 0.880 (0.770)	Data 0.001 (0.010)	Loss 1.8187 (1.8405)	Prec@1 48.438 (51.920)	Prec@5 82.812 (81.434)
Epoch: [70][3660/14090]	Time 0.735 (0.770)	Data 0.001 (0.010)	Loss 1.5929 (1.8403)	Prec@1 57.031 (51.924)	Prec@5 84.375 (81.439)
Epoch: [70][3670/14090]	Time 0.758 (0.770)	Data 0.001 (0.009)	Loss 1.7932 (1.8401)	Prec@1 50.000 (51.930)	Prec@5 82.812 (81.442)
Epoch: [70][3680/14090]	Time 0.743 (0.770)	Data 0.001 (0.009)	Loss 1.7456 (1.8401)	Prec@1 51.562 (51.926)	Prec@5 82.031 (81.440)
Epoch: [70][3690/14090]	Time 0.743 (0.770)	Data 0.001 (0.009)	Loss 1.6191 (1.8401)	Prec@1 55.469 (51.929)	Prec@5 83.594 (81.437)
Epoch: [70][3700/14090]	Time 0.744 (0.770)	Data 0.001 (0.009)	Loss 1.9175 (1.8403)	Prec@1 50.781 (51.931)	Prec@5 80.469 (81.435)
Epoch: [70][3710/14090]	Time 0.721 (0.770)	Data 0.001 (0.009)	Loss 2.1477 (1.8404)	Prec@1 42.188 (51.928)	Prec@5 78.906 (81.433)
Epoch: [70][3720/14090]	Time 0.838 (0.770)	Data 0.001 (0.009)	Loss 2.0331 (1.8404)	Prec@1 43.750 (51.927)	Prec@5 79.688 (81.435)
Epoch: [70][3730/14090]	Time 0.757 (0.770)	Data 0.001 (0.009)	Loss 1.9277 (1.8403)	Prec@1 51.562 (51.930)	Prec@5 79.688 (81.434)
Epoch: [70][3740/14090]	Time 0.737 (0.770)	Data 0.001 (0.009)	Loss 1.8369 (1.8402)	Prec@1 50.000 (51.933)	Prec@5 77.344 (81.438)
Epoch: [70][3750/14090]	Time 0.758 (0.770)	Data 0.001 (0.009)	Loss 1.7115 (1.8403)	Prec@1 46.875 (51.929)	Prec@5 86.719 (81.439)
Epoch: [70][3760/14090]	Time 0.730 (0.770)	Data 0.001 (0.009)	Loss 1.7605 (1.8403)	Prec@1 52.344 (51.930)	Prec@5 84.375 (81.443)
Epoch: [70][3770/14090]	Time 0.751 (0.770)	Data 0.001 (0.009)	Loss 1.6945 (1.8402)	Prec@1 55.469 (51.932)	Prec@5 84.375 (81.447)
Epoch: [70][3780/14090]	Time 0.731 (0.770)	Data 0.001 (0.009)	Loss 1.8604 (1.8400)	Prec@1 52.344 (51.939)	Prec@5 80.469 (81.452)
Epoch: [70][3790/14090]	Time 0.863 (0.770)	Data 0.001 (0.009)	Loss 1.9575 (1.8400)	Prec@1 47.656 (51.939)	Prec@5 78.125 (81.454)
Epoch: [70][3800/14090]	Time 0.764 (0.770)	Data 0.001 (0.009)	Loss 1.7454 (1.8400)	Prec@1 53.125 (51.940)	Prec@5 82.031 (81.456)
Epoch: [70][3810/14090]	Time 0.749 (0.770)	Data 0.001 (0.009)	Loss 1.5421 (1.8399)	Prec@1 59.375 (51.944)	Prec@5 85.938 (81.458)
Epoch: [70][3820/14090]	Time 0.726 (0.770)	Data 0.001 (0.009)	Loss 1.8392 (1.8400)	Prec@1 51.562 (51.941)	Prec@5 81.250 (81.455)
Epoch: [70][3830/14090]	Time 0.732 (0.770)	Data 0.001 (0.009)	Loss 1.6919 (1.8398)	Prec@1 53.906 (51.943)	Prec@5 86.719 (81.459)
Epoch: [70][3840/14090]	Time 0.723 (0.770)	Data 0.001 (0.009)	Loss 1.9019 (1.8397)	Prec@1 51.562 (51.949)	Prec@5 82.812 (81.460)
Epoch: [70][3850/14090]	Time 0.726 (0.770)	Data 0.001 (0.009)	Loss 2.0230 (1.8399)	Prec@1 46.875 (51.946)	Prec@5 74.219 (81.455)
Epoch: [70][3860/14090]	Time 0.870 (0.770)	Data 0.001 (0.009)	Loss 2.1268 (1.8400)	Prec@1 42.969 (51.946)	Prec@5 79.688 (81.450)
Epoch: [70][3870/14090]	Time 0.748 (0.770)	Data 0.001 (0.009)	Loss 1.9972 (1.8398)	Prec@1 54.688 (51.951)	Prec@5 78.125 (81.454)
Epoch: [70][3880/14090]	Time 0.747 (0.770)	Data 0.001 (0.009)	Loss 1.8545 (1.8396)	Prec@1 51.562 (51.957)	Prec@5 77.344 (81.458)
Epoch: [70][3890/14090]	Time 0.736 (0.770)	Data 0.001 (0.009)	Loss 2.0506 (1.8397)	Prec@1 52.344 (51.956)	Prec@5 74.219 (81.455)
Epoch: [70][3900/14090]	Time 0.738 (0.770)	Data 0.001 (0.009)	Loss 1.8714 (1.8396)	Prec@1 51.562 (51.960)	Prec@5 75.781 (81.453)
Epoch: [70][3910/14090]	Time 0.753 (0.770)	Data 0.001 (0.009)	Loss 1.8224 (1.8396)	Prec@1 50.000 (51.962)	Prec@5 81.250 (81.456)
Epoch: [70][3920/14090]	Time 0.758 (0.770)	Data 0.001 (0.009)	Loss 1.9864 (1.8397)	Prec@1 52.344 (51.963)	Prec@5 78.125 (81.452)
Epoch: [70][3930/14090]	Time 0.863 (0.770)	Data 0.001 (0.009)	Loss 1.9800 (1.8398)	Prec@1 48.438 (51.958)	Prec@5 80.469 (81.449)
Epoch: [70][3940/14090]	Time 0.729 (0.769)	Data 0.001 (0.009)	Loss 2.0609 (1.8401)	Prec@1 47.656 (51.953)	Prec@5 75.781 (81.445)
Epoch: [70][3950/14090]	Time 0.729 (0.769)	Data 0.001 (0.009)	Loss 1.8661 (1.8401)	Prec@1 58.594 (51.952)	Prec@5 78.906 (81.447)
Epoch: [70][3960/14090]	Time 0.748 (0.769)	Data 0.001 (0.009)	Loss 1.6206 (1.8402)	Prec@1 55.469 (51.949)	Prec@5 83.594 (81.443)
Epoch: [70][3970/14090]	Time 0.742 (0.769)	Data 0.001 (0.009)	Loss 2.0641 (1.8402)	Prec@1 45.312 (51.950)	Prec@5 82.031 (81.441)
Epoch: [70][3980/14090]	Time 0.759 (0.769)	Data 0.001 (0.009)	Loss 1.7199 (1.8403)	Prec@1 61.719 (51.947)	Prec@5 78.906 (81.438)
Epoch: [70][3990/14090]	Time 0.771 (0.769)	Data 0.001 (0.009)	Loss 1.7820 (1.8403)	Prec@1 50.781 (51.947)	Prec@5 85.156 (81.442)
Epoch: [70][4000/14090]	Time 0.807 (0.769)	Data 0.001 (0.009)	Loss 2.1610 (1.8402)	Prec@1 47.656 (51.950)	Prec@5 75.000 (81.442)
Epoch: [70][4010/14090]	Time 0.733 (0.769)	Data 0.001 (0.009)	Loss 1.6344 (1.8402)	Prec@1 52.344 (51.950)	Prec@5 86.719 (81.441)
Epoch: [70][4020/14090]	Time 0.736 (0.769)	Data 0.001 (0.009)	Loss 1.8205 (1.8402)	Prec@1 57.812 (51.947)	Prec@5 82.031 (81.442)
Epoch: [70][4030/14090]	Time 0.745 (0.769)	Data 0.001 (0.009)	Loss 1.6200 (1.8403)	Prec@1 57.812 (51.946)	Prec@5 82.812 (81.442)
Epoch: [70][4040/14090]	Time 0.753 (0.769)	Data 0.001 (0.009)	Loss 1.6220 (1.8403)	Prec@1 55.469 (51.946)	Prec@5 84.375 (81.440)
Epoch: [70][4050/14090]	Time 0.739 (0.769)	Data 0.001 (0.009)	Loss 1.7297 (1.8402)	Prec@1 56.250 (51.948)	Prec@5 82.812 (81.441)
Epoch: [70][4060/14090]	Time 0.721 (0.769)	Data 0.001 (0.009)	Loss 1.8974 (1.8404)	Prec@1 50.781 (51.946)	Prec@5 81.250 (81.439)
Epoch: [70][4070/14090]	Time 0.819 (0.769)	Data 0.001 (0.009)	Loss 1.7563 (1.8405)	Prec@1 46.875 (51.942)	Prec@5 83.594 (81.434)
Epoch: [70][4080/14090]	Time 0.720 (0.769)	Data 0.001 (0.009)	Loss 1.8117 (1.8405)	Prec@1 46.875 (51.937)	Prec@5 87.500 (81.434)
Epoch: [70][4090/14090]	Time 0.729 (0.769)	Data 0.001 (0.009)	Loss 1.6333 (1.8404)	Prec@1 51.562 (51.934)	Prec@5 88.281 (81.437)
Epoch: [70][4100/14090]	Time 0.738 (0.769)	Data 0.001 (0.009)	Loss 1.8482 (1.8405)	Prec@1 49.219 (51.930)	Prec@5 83.594 (81.434)
Epoch: [70][4110/14090]	Time 0.730 (0.769)	Data 0.001 (0.009)	Loss 1.8132 (1.8406)	Prec@1 50.000 (51.927)	Prec@5 83.594 (81.433)
Epoch: [70][4120/14090]	Time 0.752 (0.769)	Data 0.001 (0.009)	Loss 1.8590 (1.8405)	Prec@1 53.906 (51.931)	Prec@5 81.250 (81.434)
Epoch: [70][4130/14090]	Time 0.762 (0.769)	Data 0.001 (0.009)	Loss 1.7608 (1.8404)	Prec@1 57.031 (51.932)	Prec@5 83.594 (81.438)
Epoch: [70][4140/14090]	Time 0.843 (0.769)	Data 0.001 (0.008)	Loss 2.0095 (1.8405)	Prec@1 46.094 (51.927)	Prec@5 74.219 (81.435)
Epoch: [70][4150/14090]	Time 0.725 (0.769)	Data 0.001 (0.008)	Loss 1.5982 (1.8405)	Prec@1 59.375 (51.926)	Prec@5 84.375 (81.437)
Epoch: [70][4160/14090]	Time 0.731 (0.769)	Data 0.001 (0.008)	Loss 1.9304 (1.8406)	Prec@1 53.906 (51.925)	Prec@5 81.250 (81.437)
Epoch: [70][4170/14090]	Time 0.750 (0.769)	Data 0.001 (0.008)	Loss 1.7604 (1.8407)	Prec@1 53.125 (51.920)	Prec@5 80.469 (81.432)
Epoch: [70][4180/14090]	Time 0.727 (0.769)	Data 0.001 (0.008)	Loss 1.7224 (1.8407)	Prec@1 57.031 (51.920)	Prec@5 79.688 (81.434)
Epoch: [70][4190/14090]	Time 0.731 (0.769)	Data 0.001 (0.008)	Loss 1.9959 (1.8409)	Prec@1 50.781 (51.922)	Prec@5 73.438 (81.430)
Epoch: [70][4200/14090]	Time 0.773 (0.769)	Data 0.001 (0.008)	Loss 1.5946 (1.8408)	Prec@1 55.469 (51.921)	Prec@5 85.938 (81.433)
Epoch: [70][4210/14090]	Time 0.894 (0.769)	Data 0.001 (0.008)	Loss 2.3253 (1.8409)	Prec@1 39.844 (51.916)	Prec@5 71.875 (81.435)
Epoch: [70][4220/14090]	Time 0.738 (0.769)	Data 0.001 (0.008)	Loss 1.8661 (1.8410)	Prec@1 52.344 (51.915)	Prec@5 79.688 (81.433)
Epoch: [70][4230/14090]	Time 0.755 (0.769)	Data 0.001 (0.008)	Loss 1.7198 (1.8411)	Prec@1 53.125 (51.911)	Prec@5 85.156 (81.429)
Epoch: [70][4240/14090]	Time 0.773 (0.769)	Data 0.001 (0.008)	Loss 2.1895 (1.8412)	Prec@1 46.094 (51.904)	Prec@5 77.344 (81.432)
Epoch: [70][4250/14090]	Time 0.751 (0.769)	Data 0.001 (0.008)	Loss 1.9599 (1.8411)	Prec@1 50.000 (51.907)	Prec@5 74.219 (81.434)
Epoch: [70][4260/14090]	Time 0.753 (0.769)	Data 0.001 (0.008)	Loss 1.6902 (1.8411)	Prec@1 53.125 (51.907)	Prec@5 85.156 (81.437)
Epoch: [70][4270/14090]	Time 0.725 (0.769)	Data 0.001 (0.008)	Loss 1.9820 (1.8410)	Prec@1 47.656 (51.906)	Prec@5 79.688 (81.438)
Epoch: [70][4280/14090]	Time 0.840 (0.769)	Data 0.001 (0.008)	Loss 1.8038 (1.8412)	Prec@1 49.219 (51.902)	Prec@5 83.594 (81.437)
Epoch: [70][4290/14090]	Time 0.748 (0.769)	Data 0.001 (0.008)	Loss 1.7750 (1.8410)	Prec@1 50.000 (51.903)	Prec@5 80.469 (81.442)
Epoch: [70][4300/14090]	Time 0.737 (0.769)	Data 0.001 (0.008)	Loss 1.9820 (1.8409)	Prec@1 50.000 (51.905)	Prec@5 76.562 (81.447)
Epoch: [70][4310/14090]	Time 0.733 (0.769)	Data 0.001 (0.008)	Loss 1.9929 (1.8410)	Prec@1 49.219 (51.901)	Prec@5 80.469 (81.444)
Epoch: [70][4320/14090]	Time 0.752 (0.769)	Data 0.001 (0.008)	Loss 1.7093 (1.8410)	Prec@1 54.688 (51.906)	Prec@5 78.906 (81.447)
Epoch: [70][4330/14090]	Time 0.740 (0.769)	Data 0.001 (0.008)	Loss 1.7892 (1.8410)	Prec@1 53.125 (51.908)	Prec@5 82.031 (81.445)
Epoch: [70][4340/14090]	Time 0.775 (0.769)	Data 0.001 (0.008)	Loss 1.8000 (1.8408)	Prec@1 49.219 (51.913)	Prec@5 78.906 (81.448)
Epoch: [70][4350/14090]	Time 0.847 (0.769)	Data 0.001 (0.008)	Loss 1.8479 (1.8409)	Prec@1 50.781 (51.910)	Prec@5 80.469 (81.447)
Epoch: [70][4360/14090]	Time 0.731 (0.769)	Data 0.001 (0.008)	Loss 1.9576 (1.8408)	Prec@1 49.219 (51.911)	Prec@5 78.906 (81.447)
Epoch: [70][4370/14090]	Time 0.728 (0.769)	Data 0.001 (0.008)	Loss 1.8177 (1.8408)	Prec@1 53.125 (51.908)	Prec@5 83.594 (81.445)
Epoch: [70][4380/14090]	Time 0.726 (0.769)	Data 0.001 (0.008)	Loss 1.6907 (1.8410)	Prec@1 56.250 (51.907)	Prec@5 86.719 (81.443)
Epoch: [70][4390/14090]	Time 0.741 (0.769)	Data 0.001 (0.008)	Loss 2.0040 (1.8409)	Prec@1 44.531 (51.907)	Prec@5 79.688 (81.443)
Epoch: [70][4400/14090]	Time 0.757 (0.769)	Data 0.001 (0.008)	Loss 1.5643 (1.8409)	Prec@1 60.156 (51.907)	Prec@5 86.719 (81.443)
Epoch: [70][4410/14090]	Time 0.724 (0.769)	Data 0.001 (0.008)	Loss 1.9655 (1.8410)	Prec@1 48.438 (51.906)	Prec@5 79.688 (81.442)
Epoch: [70][4420/14090]	Time 0.866 (0.769)	Data 0.001 (0.008)	Loss 1.8586 (1.8411)	Prec@1 53.125 (51.905)	Prec@5 82.031 (81.442)
Epoch: [70][4430/14090]	Time 0.728 (0.769)	Data 0.001 (0.008)	Loss 1.8338 (1.8411)	Prec@1 53.125 (51.904)	Prec@5 78.906 (81.440)
Epoch: [70][4440/14090]	Time 0.724 (0.768)	Data 0.001 (0.008)	Loss 1.9086 (1.8413)	Prec@1 48.438 (51.900)	Prec@5 80.469 (81.438)
Epoch: [70][4450/14090]	Time 0.745 (0.768)	Data 0.001 (0.008)	Loss 1.7376 (1.8411)	Prec@1 50.781 (51.907)	Prec@5 84.375 (81.440)
Epoch: [70][4460/14090]	Time 0.731 (0.768)	Data 0.001 (0.008)	Loss 1.9167 (1.8412)	Prec@1 48.438 (51.909)	Prec@5 79.688 (81.436)
Epoch: [70][4470/14090]	Time 0.735 (0.768)	Data 0.001 (0.008)	Loss 1.7739 (1.8413)	Prec@1 56.250 (51.904)	Prec@5 80.469 (81.436)
Epoch: [70][4480/14090]	Time 0.727 (0.768)	Data 0.001 (0.008)	Loss 1.7721 (1.8412)	Prec@1 53.906 (51.907)	Prec@5 81.250 (81.441)
Epoch: [70][4490/14090]	Time 0.837 (0.768)	Data 0.001 (0.008)	Loss 1.6070 (1.8410)	Prec@1 53.906 (51.910)	Prec@5 86.719 (81.442)
Epoch: [70][4500/14090]	Time 0.767 (0.768)	Data 0.001 (0.008)	Loss 1.7157 (1.8410)	Prec@1 53.125 (51.909)	Prec@5 85.156 (81.443)
Epoch: [70][4510/14090]	Time 0.756 (0.768)	Data 0.001 (0.008)	Loss 1.8689 (1.8409)	Prec@1 45.312 (51.910)	Prec@5 82.031 (81.444)
Epoch: [70][4520/14090]	Time 0.752 (0.768)	Data 0.001 (0.008)	Loss 1.9375 (1.8410)	Prec@1 43.750 (51.906)	Prec@5 79.688 (81.442)
Epoch: [70][4530/14090]	Time 0.745 (0.768)	Data 0.001 (0.008)	Loss 1.8304 (1.8409)	Prec@1 53.125 (51.907)	Prec@5 82.031 (81.445)
Epoch: [70][4540/14090]	Time 0.757 (0.768)	Data 0.001 (0.008)	Loss 2.0108 (1.8409)	Prec@1 46.875 (51.906)	Prec@5 76.562 (81.444)
Epoch: [70][4550/14090]	Time 0.763 (0.768)	Data 0.001 (0.008)	Loss 1.8352 (1.8409)	Prec@1 54.688 (51.911)	Prec@5 83.594 (81.441)
Epoch: [70][4560/14090]	Time 0.819 (0.768)	Data 0.001 (0.008)	Loss 1.7456 (1.8408)	Prec@1 52.344 (51.914)	Prec@5 78.906 (81.442)
Epoch: [70][4570/14090]	Time 0.728 (0.768)	Data 0.001 (0.008)	Loss 1.8136 (1.8407)	Prec@1 53.906 (51.916)	Prec@5 85.156 (81.446)
Epoch: [70][4580/14090]	Time 0.725 (0.768)	Data 0.001 (0.008)	Loss 2.1445 (1.8409)	Prec@1 46.094 (51.909)	Prec@5 77.344 (81.443)
Epoch: [70][4590/14090]	Time 0.751 (0.768)	Data 0.001 (0.008)	Loss 1.9152 (1.8408)	Prec@1 50.781 (51.907)	Prec@5 81.250 (81.445)
Epoch: [70][4600/14090]	Time 0.746 (0.768)	Data 0.001 (0.008)	Loss 1.8293 (1.8409)	Prec@1 50.000 (51.907)	Prec@5 83.594 (81.443)
Epoch: [70][4610/14090]	Time 0.771 (0.768)	Data 0.001 (0.008)	Loss 1.7646 (1.8409)	Prec@1 56.250 (51.906)	Prec@5 84.375 (81.444)
Epoch: [70][4620/14090]	Time 0.745 (0.768)	Data 0.001 (0.008)	Loss 1.6366 (1.8409)	Prec@1 57.031 (51.907)	Prec@5 84.375 (81.444)
Epoch: [70][4630/14090]	Time 0.823 (0.768)	Data 0.001 (0.008)	Loss 1.7691 (1.8408)	Prec@1 53.906 (51.909)	Prec@5 79.688 (81.443)
Epoch: [70][4640/14090]	Time 0.742 (0.768)	Data 0.001 (0.008)	Loss 2.0256 (1.8409)	Prec@1 47.656 (51.909)	Prec@5 82.031 (81.441)
Epoch: [70][4650/14090]	Time 0.741 (0.768)	Data 0.001 (0.008)	Loss 1.8586 (1.8407)	Prec@1 49.219 (51.913)	Prec@5 81.250 (81.445)
Epoch: [70][4660/14090]	Time 0.747 (0.768)	Data 0.001 (0.008)	Loss 1.9471 (1.8406)	Prec@1 49.219 (51.916)	Prec@5 82.031 (81.445)
Epoch: [70][4670/14090]	Time 0.730 (0.768)	Data 0.001 (0.008)	Loss 1.6183 (1.8405)	Prec@1 55.469 (51.916)	Prec@5 85.156 (81.447)
Epoch: [70][4680/14090]	Time 0.721 (0.768)	Data 0.001 (0.008)	Loss 1.7061 (1.8405)	Prec@1 54.688 (51.919)	Prec@5 86.719 (81.448)
Epoch: [70][4690/14090]	Time 0.750 (0.768)	Data 0.001 (0.008)	Loss 1.8918 (1.8406)	Prec@1 53.906 (51.919)	Prec@5 86.719 (81.451)
Epoch: [70][4700/14090]	Time 0.876 (0.768)	Data 0.001 (0.008)	Loss 1.7013 (1.8405)	Prec@1 57.031 (51.919)	Prec@5 85.156 (81.452)
Epoch: [70][4710/14090]	Time 0.740 (0.768)	Data 0.001 (0.008)	Loss 1.4682 (1.8404)	Prec@1 58.594 (51.921)	Prec@5 88.281 (81.453)
Epoch: [70][4720/14090]	Time 0.729 (0.768)	Data 0.001 (0.008)	Loss 2.0333 (1.8404)	Prec@1 50.000 (51.923)	Prec@5 78.906 (81.453)
Epoch: [70][4730/14090]	Time 0.734 (0.768)	Data 0.001 (0.008)	Loss 1.9457 (1.8404)	Prec@1 49.219 (51.922)	Prec@5 81.250 (81.452)
Epoch: [70][4740/14090]	Time 0.740 (0.768)	Data 0.001 (0.008)	Loss 1.9235 (1.8404)	Prec@1 46.875 (51.921)	Prec@5 78.906 (81.453)
Epoch: [70][4750/14090]	Time 0.753 (0.768)	Data 0.001 (0.008)	Loss 1.9128 (1.8406)	Prec@1 48.438 (51.919)	Prec@5 81.250 (81.451)
Epoch: [70][4760/14090]	Time 0.776 (0.768)	Data 0.001 (0.007)	Loss 1.9574 (1.8405)	Prec@1 53.906 (51.922)	Prec@5 76.562 (81.450)
Epoch: [70][4770/14090]	Time 0.851 (0.768)	Data 0.001 (0.007)	Loss 1.7449 (1.8405)	Prec@1 53.906 (51.925)	Prec@5 81.250 (81.448)
Epoch: [70][4780/14090]	Time 0.732 (0.768)	Data 0.001 (0.007)	Loss 1.8911 (1.8403)	Prec@1 53.125 (51.927)	Prec@5 80.469 (81.449)
Epoch: [70][4790/14090]	Time 0.721 (0.768)	Data 0.001 (0.007)	Loss 1.6328 (1.8402)	Prec@1 57.031 (51.926)	Prec@5 84.375 (81.450)
Epoch: [70][4800/14090]	Time 0.790 (0.768)	Data 0.001 (0.007)	Loss 2.1060 (1.8403)	Prec@1 46.875 (51.925)	Prec@5 74.219 (81.450)
Epoch: [70][4810/14090]	Time 0.771 (0.768)	Data 0.001 (0.007)	Loss 1.7856 (1.8402)	Prec@1 56.250 (51.931)	Prec@5 80.469 (81.450)
Epoch: [70][4820/14090]	Time 0.758 (0.768)	Data 0.001 (0.007)	Loss 1.6667 (1.8403)	Prec@1 53.125 (51.931)	Prec@5 83.594 (81.450)
Epoch: [70][4830/14090]	Time 0.755 (0.768)	Data 0.001 (0.007)	Loss 1.9698 (1.8402)	Prec@1 53.906 (51.932)	Prec@5 79.688 (81.451)
Epoch: [70][4840/14090]	Time 0.878 (0.768)	Data 0.001 (0.007)	Loss 1.8884 (1.8403)	Prec@1 48.438 (51.933)	Prec@5 82.031 (81.448)
Epoch: [70][4850/14090]	Time 0.739 (0.768)	Data 0.001 (0.007)	Loss 1.9280 (1.8406)	Prec@1 51.562 (51.926)	Prec@5 78.906 (81.444)
Epoch: [70][4860/14090]	Time 0.732 (0.768)	Data 0.001 (0.007)	Loss 1.8288 (1.8404)	Prec@1 48.438 (51.932)	Prec@5 85.156 (81.445)
Epoch: [70][4870/14090]	Time 0.734 (0.768)	Data 0.001 (0.007)	Loss 2.0456 (1.8406)	Prec@1 50.000 (51.931)	Prec@5 78.125 (81.444)
Epoch: [70][4880/14090]	Time 0.745 (0.768)	Data 0.001 (0.007)	Loss 1.5375 (1.8405)	Prec@1 54.688 (51.930)	Prec@5 89.062 (81.444)
Epoch: [70][4890/14090]	Time 0.753 (0.768)	Data 0.001 (0.007)	Loss 1.9310 (1.8405)	Prec@1 50.000 (51.927)	Prec@5 78.906 (81.445)
Epoch: [70][4900/14090]	Time 0.772 (0.768)	Data 0.001 (0.007)	Loss 1.8965 (1.8405)	Prec@1 53.125 (51.926)	Prec@5 82.031 (81.445)
Epoch: [70][4910/14090]	Time 0.881 (0.768)	Data 0.001 (0.007)	Loss 1.8837 (1.8405)	Prec@1 51.562 (51.927)	Prec@5 80.469 (81.445)
Epoch: [70][4920/14090]	Time 0.769 (0.768)	Data 0.001 (0.007)	Loss 1.9518 (1.8404)	Prec@1 54.688 (51.929)	Prec@5 78.125 (81.447)
Epoch: [70][4930/14090]	Time 0.735 (0.768)	Data 0.001 (0.007)	Loss 2.2139 (1.8405)	Prec@1 40.625 (51.928)	Prec@5 78.125 (81.443)
Epoch: [70][4940/14090]	Time 0.760 (0.768)	Data 0.001 (0.007)	Loss 1.8523 (1.8406)	Prec@1 51.562 (51.926)	Prec@5 85.938 (81.442)
Epoch: [70][4950/14090]	Time 0.735 (0.768)	Data 0.001 (0.007)	Loss 1.7956 (1.8406)	Prec@1 56.250 (51.927)	Prec@5 82.812 (81.441)
Epoch: [70][4960/14090]	Time 0.737 (0.768)	Data 0.001 (0.007)	Loss 1.8016 (1.8407)	Prec@1 50.781 (51.927)	Prec@5 82.031 (81.439)
Epoch: [70][4970/14090]	Time 0.745 (0.768)	Data 0.001 (0.007)	Loss 1.9845 (1.8408)	Prec@1 47.656 (51.925)	Prec@5 76.562 (81.438)
Epoch: [70][4980/14090]	Time 0.874 (0.768)	Data 0.001 (0.007)	Loss 1.7791 (1.8408)	Prec@1 51.562 (51.923)	Prec@5 85.156 (81.435)
Epoch: [70][4990/14090]	Time 0.752 (0.768)	Data 0.001 (0.007)	Loss 1.8631 (1.8410)	Prec@1 47.656 (51.920)	Prec@5 78.125 (81.431)
Epoch: [70][5000/14090]	Time 0.759 (0.768)	Data 0.001 (0.007)	Loss 1.6907 (1.8410)	Prec@1 50.781 (51.919)	Prec@5 85.938 (81.433)
Epoch: [70][5010/14090]	Time 0.733 (0.768)	Data 0.001 (0.007)	Loss 1.6616 (1.8409)	Prec@1 54.688 (51.919)	Prec@5 85.156 (81.433)
Epoch: [70][5020/14090]	Time 0.755 (0.768)	Data 0.001 (0.007)	Loss 1.9278 (1.8410)	Prec@1 50.000 (51.916)	Prec@5 78.125 (81.431)
Epoch: [70][5030/14090]	Time 0.760 (0.768)	Data 0.001 (0.007)	Loss 1.5772 (1.8408)	Prec@1 59.375 (51.919)	Prec@5 84.375 (81.434)
Epoch: [70][5040/14090]	Time 0.756 (0.768)	Data 0.001 (0.007)	Loss 1.9754 (1.8409)	Prec@1 50.000 (51.919)	Prec@5 79.688 (81.433)
Epoch: [70][5050/14090]	Time 0.830 (0.768)	Data 0.001 (0.007)	Loss 2.1173 (1.8409)	Prec@1 44.531 (51.917)	Prec@5 75.781 (81.432)
Epoch: [70][5060/14090]	Time 0.744 (0.768)	Data 0.001 (0.007)	Loss 1.8472 (1.8407)	Prec@1 53.125 (51.918)	Prec@5 82.031 (81.434)
Epoch: [70][5070/14090]	Time 0.731 (0.768)	Data 0.001 (0.007)	Loss 1.5321 (1.8406)	Prec@1 54.688 (51.922)	Prec@5 89.062 (81.435)
Epoch: [70][5080/14090]	Time 0.743 (0.768)	Data 0.001 (0.007)	Loss 1.9008 (1.8408)	Prec@1 46.094 (51.917)	Prec@5 83.594 (81.436)
Epoch: [70][5090/14090]	Time 0.733 (0.768)	Data 0.001 (0.007)	Loss 2.0220 (1.8407)	Prec@1 54.688 (51.918)	Prec@5 78.906 (81.440)
Epoch: [70][5100/14090]	Time 0.754 (0.768)	Data 0.001 (0.007)	Loss 1.6379 (1.8409)	Prec@1 55.469 (51.919)	Prec@5 81.250 (81.435)
Epoch: [70][5110/14090]	Time 0.728 (0.768)	Data 0.001 (0.007)	Loss 1.8896 (1.8409)	Prec@1 53.125 (51.920)	Prec@5 83.594 (81.437)
Epoch: [70][5120/14090]	Time 0.851 (0.768)	Data 0.001 (0.007)	Loss 1.7789 (1.8408)	Prec@1 56.250 (51.920)	Prec@5 80.469 (81.437)
Epoch: [70][5130/14090]	Time 0.735 (0.768)	Data 0.001 (0.007)	Loss 1.9777 (1.8410)	Prec@1 50.000 (51.916)	Prec@5 82.031 (81.436)
Epoch: [70][5140/14090]	Time 0.750 (0.767)	Data 0.001 (0.007)	Loss 1.8914 (1.8411)	Prec@1 46.094 (51.914)	Prec@5 82.812 (81.434)
Epoch: [70][5150/14090]	Time 0.750 (0.768)	Data 0.001 (0.007)	Loss 1.7715 (1.8409)	Prec@1 53.125 (51.918)	Prec@5 81.250 (81.434)
Epoch: [70][5160/14090]	Time 0.752 (0.767)	Data 0.001 (0.007)	Loss 1.9426 (1.8408)	Prec@1 50.781 (51.922)	Prec@5 82.812 (81.436)
Epoch: [70][5170/14090]	Time 0.749 (0.767)	Data 0.001 (0.007)	Loss 1.7650 (1.8409)	Prec@1 55.469 (51.921)	Prec@5 81.250 (81.434)
Epoch: [70][5180/14090]	Time 0.733 (0.767)	Data 0.001 (0.007)	Loss 1.8263 (1.8408)	Prec@1 48.438 (51.922)	Prec@5 78.906 (81.437)
Epoch: [70][5190/14090]	Time 0.857 (0.767)	Data 0.001 (0.007)	Loss 1.9499 (1.8408)	Prec@1 50.000 (51.918)	Prec@5 80.469 (81.437)
Epoch: [70][5200/14090]	Time 0.732 (0.767)	Data 0.001 (0.007)	Loss 2.0469 (1.8408)	Prec@1 46.094 (51.921)	Prec@5 80.469 (81.437)
Epoch: [70][5210/14090]	Time 0.751 (0.767)	Data 0.001 (0.007)	Loss 1.7997 (1.8409)	Prec@1 53.125 (51.918)	Prec@5 82.031 (81.435)
Epoch: [70][5220/14090]	Time 0.775 (0.767)	Data 0.001 (0.007)	Loss 1.7264 (1.8408)	Prec@1 50.781 (51.920)	Prec@5 84.375 (81.435)
Epoch: [70][5230/14090]	Time 0.758 (0.767)	Data 0.001 (0.007)	Loss 2.0786 (1.8408)	Prec@1 46.875 (51.919)	Prec@5 81.250 (81.437)
Epoch: [70][5240/14090]	Time 0.748 (0.767)	Data 0.001 (0.007)	Loss 1.7768 (1.8410)	Prec@1 48.438 (51.917)	Prec@5 79.688 (81.433)
Epoch: [70][5250/14090]	Time 0.726 (0.767)	Data 0.001 (0.007)	Loss 1.8369 (1.8411)	Prec@1 46.875 (51.915)	Prec@5 86.719 (81.432)
Epoch: [70][5260/14090]	Time 0.862 (0.767)	Data 0.001 (0.007)	Loss 1.8917 (1.8411)	Prec@1 55.469 (51.914)	Prec@5 81.250 (81.434)
Epoch: [70][5270/14090]	Time 0.729 (0.767)	Data 0.001 (0.007)	Loss 1.8401 (1.8412)	Prec@1 48.438 (51.913)	Prec@5 79.688 (81.432)
Epoch: [70][5280/14090]	Time 0.763 (0.767)	Data 0.001 (0.007)	Loss 1.8644 (1.8414)	Prec@1 56.250 (51.910)	Prec@5 82.031 (81.428)
Epoch: [70][5290/14090]	Time 0.736 (0.767)	Data 0.001 (0.007)	Loss 1.7291 (1.8414)	Prec@1 53.906 (51.908)	Prec@5 82.031 (81.427)
Epoch: [70][5300/14090]	Time 0.724 (0.767)	Data 0.001 (0.007)	Loss 1.9626 (1.8415)	Prec@1 48.438 (51.906)	Prec@5 77.344 (81.426)
Epoch: [70][5310/14090]	Time 0.753 (0.767)	Data 0.001 (0.007)	Loss 1.8249 (1.8414)	Prec@1 56.250 (51.906)	Prec@5 82.031 (81.430)
Epoch: [70][5320/14090]	Time 0.736 (0.767)	Data 0.001 (0.007)	Loss 1.8869 (1.8413)	Prec@1 53.125 (51.906)	Prec@5 80.469 (81.429)
Epoch: [70][5330/14090]	Time 0.897 (0.767)	Data 0.001 (0.007)	Loss 1.7877 (1.8413)	Prec@1 60.938 (51.908)	Prec@5 82.031 (81.429)
Epoch: [70][5340/14090]	Time 0.756 (0.767)	Data 0.001 (0.007)	Loss 1.7210 (1.8413)	Prec@1 46.094 (51.906)	Prec@5 86.719 (81.432)
Epoch: [70][5350/14090]	Time 0.741 (0.767)	Data 0.001 (0.007)	Loss 1.7033 (1.8414)	Prec@1 50.781 (51.902)	Prec@5 82.812 (81.430)
Epoch: [70][5360/14090]	Time 0.752 (0.767)	Data 0.001 (0.007)	Loss 1.5975 (1.8414)	Prec@1 55.469 (51.903)	Prec@5 84.375 (81.428)
Epoch: [70][5370/14090]	Time 0.751 (0.767)	Data 0.001 (0.007)	Loss 2.0213 (1.8416)	Prec@1 48.438 (51.900)	Prec@5 74.219 (81.426)
Epoch: [70][5380/14090]	Time 0.756 (0.767)	Data 0.001 (0.007)	Loss 2.0515 (1.8417)	Prec@1 46.094 (51.897)	Prec@5 78.906 (81.424)
Epoch: [70][5390/14090]	Time 0.734 (0.767)	Data 0.001 (0.007)	Loss 1.8070 (1.8417)	Prec@1 47.656 (51.896)	Prec@5 85.156 (81.423)
Epoch: [70][5400/14090]	Time 0.835 (0.767)	Data 0.001 (0.007)	Loss 1.5615 (1.8416)	Prec@1 57.031 (51.898)	Prec@5 85.938 (81.426)
Epoch: [70][5410/14090]	Time 0.736 (0.767)	Data 0.001 (0.007)	Loss 1.8164 (1.8417)	Prec@1 55.469 (51.898)	Prec@5 82.031 (81.425)
Epoch: [70][5420/14090]	Time 0.740 (0.767)	Data 0.001 (0.007)	Loss 1.6635 (1.8418)	Prec@1 52.344 (51.897)	Prec@5 85.938 (81.423)
Epoch: [70][5430/14090]	Time 0.743 (0.767)	Data 0.001 (0.007)	Loss 1.8276 (1.8418)	Prec@1 51.562 (51.898)	Prec@5 80.469 (81.426)
Epoch: [70][5440/14090]	Time 0.774 (0.767)	Data 0.001 (0.007)	Loss 1.9223 (1.8418)	Prec@1 55.469 (51.897)	Prec@5 78.125 (81.425)
Epoch: [70][5450/14090]	Time 0.745 (0.767)	Data 0.001 (0.007)	Loss 1.8242 (1.8420)	Prec@1 50.781 (51.896)	Prec@5 81.250 (81.420)
Epoch: [70][5460/14090]	Time 0.776 (0.767)	Data 0.001 (0.007)	Loss 1.8000 (1.8420)	Prec@1 50.781 (51.893)	Prec@5 78.906 (81.419)
Epoch: [70][5470/14090]	Time 0.838 (0.767)	Data 0.001 (0.007)	Loss 1.8940 (1.8419)	Prec@1 56.250 (51.894)	Prec@5 78.906 (81.422)
Epoch: [70][5480/14090]	Time 0.751 (0.767)	Data 0.001 (0.007)	Loss 1.8161 (1.8418)	Prec@1 51.562 (51.893)	Prec@5 80.469 (81.422)
Epoch: [70][5490/14090]	Time 0.746 (0.767)	Data 0.001 (0.007)	Loss 1.8923 (1.8418)	Prec@1 53.125 (51.892)	Prec@5 77.344 (81.424)
Epoch: [70][5500/14090]	Time 0.742 (0.767)	Data 0.001 (0.007)	Loss 1.6181 (1.8417)	Prec@1 59.375 (51.892)	Prec@5 82.812 (81.425)
Epoch: [70][5510/14090]	Time 0.732 (0.767)	Data 0.001 (0.007)	Loss 1.8118 (1.8416)	Prec@1 53.125 (51.893)	Prec@5 78.906 (81.426)
Epoch: [70][5520/14090]	Time 0.738 (0.767)	Data 0.001 (0.007)	Loss 1.9576 (1.8418)	Prec@1 50.000 (51.886)	Prec@5 78.906 (81.422)
Epoch: [70][5530/14090]	Time 0.728 (0.767)	Data 0.001 (0.007)	Loss 1.9107 (1.8419)	Prec@1 44.531 (51.884)	Prec@5 79.688 (81.421)
Epoch: [70][5540/14090]	Time 0.851 (0.767)	Data 0.001 (0.007)	Loss 1.6401 (1.8419)	Prec@1 53.125 (51.881)	Prec@5 85.938 (81.421)
Epoch: [70][5550/14090]	Time 0.741 (0.767)	Data 0.001 (0.007)	Loss 1.7071 (1.8417)	Prec@1 55.469 (51.885)	Prec@5 84.375 (81.422)
Epoch: [70][5560/14090]	Time 0.754 (0.767)	Data 0.001 (0.007)	Loss 1.8652 (1.8417)	Prec@1 47.656 (51.883)	Prec@5 82.031 (81.424)
Epoch: [70][5570/14090]	Time 0.734 (0.767)	Data 0.001 (0.007)	Loss 1.8984 (1.8419)	Prec@1 53.125 (51.880)	Prec@5 78.906 (81.419)
Epoch: [70][5580/14090]	Time 0.730 (0.767)	Data 0.001 (0.007)	Loss 1.9604 (1.8419)	Prec@1 46.875 (51.879)	Prec@5 74.219 (81.417)
Epoch: [70][5590/14090]	Time 0.754 (0.767)	Data 0.001 (0.007)	Loss 1.5462 (1.8418)	Prec@1 57.031 (51.879)	Prec@5 86.719 (81.417)
Epoch: [70][5600/14090]	Time 0.751 (0.767)	Data 0.001 (0.006)	Loss 2.0523 (1.8421)	Prec@1 45.312 (51.874)	Prec@5 73.438 (81.413)
Epoch: [70][5610/14090]	Time 0.861 (0.767)	Data 0.001 (0.006)	Loss 2.0578 (1.8420)	Prec@1 51.562 (51.875)	Prec@5 78.906 (81.414)
Epoch: [70][5620/14090]	Time 0.728 (0.767)	Data 0.001 (0.006)	Loss 1.8039 (1.8420)	Prec@1 52.344 (51.871)	Prec@5 80.469 (81.414)
Epoch: [70][5630/14090]	Time 0.750 (0.767)	Data 0.001 (0.006)	Loss 1.9805 (1.8420)	Prec@1 50.000 (51.871)	Prec@5 78.125 (81.415)
Epoch: [70][5640/14090]	Time 0.741 (0.767)	Data 0.001 (0.006)	Loss 1.8207 (1.8420)	Prec@1 53.125 (51.875)	Prec@5 78.906 (81.414)
Epoch: [70][5650/14090]	Time 0.724 (0.767)	Data 0.001 (0.006)	Loss 1.7231 (1.8420)	Prec@1 53.906 (51.873)	Prec@5 79.688 (81.415)
Epoch: [70][5660/14090]	Time 0.732 (0.767)	Data 0.001 (0.006)	Loss 1.8351 (1.8420)	Prec@1 53.125 (51.872)	Prec@5 81.250 (81.417)
Epoch: [70][5670/14090]	Time 0.723 (0.767)	Data 0.001 (0.006)	Loss 1.7053 (1.8419)	Prec@1 51.562 (51.874)	Prec@5 84.375 (81.419)
Epoch: [70][5680/14090]	Time 0.862 (0.767)	Data 0.001 (0.006)	Loss 1.6014 (1.8419)	Prec@1 53.906 (51.873)	Prec@5 85.938 (81.419)
Epoch: [70][5690/14090]	Time 0.746 (0.767)	Data 0.001 (0.006)	Loss 2.0746 (1.8420)	Prec@1 50.781 (51.871)	Prec@5 75.781 (81.416)
Epoch: [70][5700/14090]	Time 0.727 (0.767)	Data 0.001 (0.006)	Loss 1.8369 (1.8420)	Prec@1 46.094 (51.870)	Prec@5 81.250 (81.417)
Epoch: [70][5710/14090]	Time 0.753 (0.767)	Data 0.001 (0.006)	Loss 1.6733 (1.8420)	Prec@1 57.031 (51.872)	Prec@5 85.156 (81.419)
Epoch: [70][5720/14090]	Time 0.733 (0.767)	Data 0.001 (0.006)	Loss 1.5505 (1.8418)	Prec@1 57.031 (51.874)	Prec@5 86.719 (81.422)
Epoch: [70][5730/14090]	Time 0.755 (0.767)	Data 0.001 (0.006)	Loss 1.6173 (1.8418)	Prec@1 55.469 (51.874)	Prec@5 85.938 (81.423)
Epoch: [70][5740/14090]	Time 0.756 (0.767)	Data 0.001 (0.006)	Loss 1.7912 (1.8417)	Prec@1 53.906 (51.874)	Prec@5 82.812 (81.425)
Epoch: [70][5750/14090]	Time 0.845 (0.767)	Data 0.001 (0.006)	Loss 2.0115 (1.8418)	Prec@1 52.344 (51.871)	Prec@5 79.688 (81.425)
Epoch: [70][5760/14090]	Time 0.729 (0.767)	Data 0.001 (0.006)	Loss 1.8614 (1.8417)	Prec@1 45.312 (51.869)	Prec@5 78.906 (81.428)
Epoch: [70][5770/14090]	Time 0.732 (0.767)	Data 0.001 (0.006)	Loss 1.7267 (1.8419)	Prec@1 52.344 (51.865)	Prec@5 85.156 (81.426)
Epoch: [70][5780/14090]	Time 0.762 (0.767)	Data 0.001 (0.006)	Loss 1.6569 (1.8419)	Prec@1 58.594 (51.868)	Prec@5 86.719 (81.426)
Epoch: [70][5790/14090]	Time 0.758 (0.767)	Data 0.001 (0.006)	Loss 1.9154 (1.8419)	Prec@1 49.219 (51.870)	Prec@5 86.719 (81.428)
Epoch: [70][5800/14090]	Time 0.740 (0.767)	Data 0.001 (0.006)	Loss 1.8253 (1.8419)	Prec@1 53.125 (51.870)	Prec@5 86.719 (81.430)
Epoch: [70][5810/14090]	Time 0.764 (0.767)	Data 0.001 (0.006)	Loss 1.8752 (1.8418)	Prec@1 46.875 (51.869)	Prec@5 78.125 (81.431)
Epoch: [70][5820/14090]	Time 0.858 (0.767)	Data 0.001 (0.006)	Loss 1.8924 (1.8419)	Prec@1 51.562 (51.868)	Prec@5 80.469 (81.427)
Epoch: [70][5830/14090]	Time 0.741 (0.767)	Data 0.001 (0.006)	Loss 1.8811 (1.8421)	Prec@1 56.250 (51.867)	Prec@5 79.688 (81.424)
Epoch: [70][5840/14090]	Time 0.732 (0.767)	Data 0.001 (0.006)	Loss 1.8050 (1.8421)	Prec@1 50.000 (51.868)	Prec@5 81.250 (81.424)
Epoch: [70][5850/14090]	Time 0.751 (0.767)	Data 0.001 (0.006)	Loss 1.7843 (1.8420)	Prec@1 58.594 (51.872)	Prec@5 78.906 (81.424)
Epoch: [70][5860/14090]	Time 0.742 (0.767)	Data 0.001 (0.006)	Loss 2.0058 (1.8421)	Prec@1 50.000 (51.872)	Prec@5 78.125 (81.421)
Epoch: [70][5870/14090]	Time 0.765 (0.767)	Data 0.001 (0.006)	Loss 2.0975 (1.8421)	Prec@1 46.875 (51.869)	Prec@5 76.562 (81.421)
Epoch: [70][5880/14090]	Time 0.749 (0.767)	Data 0.001 (0.006)	Loss 1.8732 (1.8421)	Prec@1 53.125 (51.869)	Prec@5 78.906 (81.421)
Epoch: [70][5890/14090]	Time 0.899 (0.767)	Data 0.001 (0.006)	Loss 1.7722 (1.8421)	Prec@1 53.125 (51.868)	Prec@5 82.031 (81.420)
Epoch: [70][5900/14090]	Time 0.730 (0.767)	Data 0.001 (0.006)	Loss 1.9314 (1.8421)	Prec@1 49.219 (51.867)	Prec@5 82.031 (81.422)
Epoch: [70][5910/14090]	Time 0.727 (0.767)	Data 0.001 (0.006)	Loss 1.9094 (1.8420)	Prec@1 53.906 (51.867)	Prec@5 81.250 (81.424)
Epoch: [70][5920/14090]	Time 0.721 (0.767)	Data 0.001 (0.006)	Loss 1.8674 (1.8419)	Prec@1 46.875 (51.864)	Prec@5 80.469 (81.427)
Epoch: [70][5930/14090]	Time 0.735 (0.767)	Data 0.001 (0.006)	Loss 1.9957 (1.8419)	Prec@1 47.656 (51.863)	Prec@5 80.469 (81.426)
Epoch: [70][5940/14090]	Time 0.736 (0.767)	Data 0.001 (0.006)	Loss 1.7192 (1.8420)	Prec@1 54.688 (51.861)	Prec@5 85.156 (81.425)
Epoch: [70][5950/14090]	Time 0.724 (0.767)	Data 0.001 (0.006)	Loss 1.9123 (1.8421)	Prec@1 53.125 (51.862)	Prec@5 82.031 (81.424)
Epoch: [70][5960/14090]	Time 0.855 (0.767)	Data 0.001 (0.006)	Loss 1.6871 (1.8421)	Prec@1 57.812 (51.861)	Prec@5 84.375 (81.421)
Epoch: [70][5970/14090]	Time 0.734 (0.767)	Data 0.001 (0.006)	Loss 1.8025 (1.8421)	Prec@1 52.344 (51.862)	Prec@5 80.469 (81.419)
Epoch: [70][5980/14090]	Time 0.730 (0.767)	Data 0.001 (0.006)	Loss 2.0136 (1.8422)	Prec@1 45.312 (51.859)	Prec@5 74.219 (81.417)
Epoch: [70][5990/14090]	Time 0.761 (0.767)	Data 0.001 (0.006)	Loss 1.5800 (1.8421)	Prec@1 60.938 (51.863)	Prec@5 82.812 (81.418)
Epoch: [70][6000/14090]	Time 0.755 (0.767)	Data 0.001 (0.006)	Loss 1.9402 (1.8422)	Prec@1 52.344 (51.861)	Prec@5 80.469 (81.415)
Epoch: [70][6010/14090]	Time 0.756 (0.767)	Data 0.001 (0.006)	Loss 1.9147 (1.8422)	Prec@1 49.219 (51.859)	Prec@5 78.906 (81.417)
Epoch: [70][6020/14090]	Time 0.738 (0.767)	Data 0.001 (0.006)	Loss 1.7579 (1.8422)	Prec@1 56.250 (51.861)	Prec@5 80.469 (81.418)
Epoch: [70][6030/14090]	Time 0.891 (0.767)	Data 0.001 (0.006)	Loss 1.8950 (1.8422)	Prec@1 57.812 (51.862)	Prec@5 78.125 (81.417)
Epoch: [70][6040/14090]	Time 0.742 (0.767)	Data 0.001 (0.006)	Loss 1.8543 (1.8422)	Prec@1 47.656 (51.860)	Prec@5 84.375 (81.419)
Epoch: [70][6050/14090]	Time 0.752 (0.767)	Data 0.001 (0.006)	Loss 1.8611 (1.8423)	Prec@1 56.250 (51.859)	Prec@5 82.031 (81.418)
Epoch: [70][6060/14090]	Time 0.761 (0.767)	Data 0.001 (0.006)	Loss 1.8742 (1.8423)	Prec@1 51.562 (51.859)	Prec@5 83.594 (81.417)
Epoch: [70][6070/14090]	Time 0.742 (0.767)	Data 0.001 (0.006)	Loss 1.9741 (1.8424)	Prec@1 50.000 (51.861)	Prec@5 76.562 (81.416)
Epoch: [70][6080/14090]	Time 0.725 (0.767)	Data 0.001 (0.006)	Loss 1.7095 (1.8422)	Prec@1 49.219 (51.862)	Prec@5 84.375 (81.420)
Epoch: [70][6090/14090]	Time 0.761 (0.767)	Data 0.001 (0.006)	Loss 1.9417 (1.8425)	Prec@1 49.219 (51.854)	Prec@5 81.250 (81.416)
Epoch: [70][6100/14090]	Time 0.864 (0.767)	Data 0.001 (0.006)	Loss 1.7306 (1.8424)	Prec@1 50.781 (51.854)	Prec@5 83.594 (81.417)
Epoch: [70][6110/14090]	Time 0.751 (0.767)	Data 0.001 (0.006)	Loss 1.6874 (1.8423)	Prec@1 50.000 (51.856)	Prec@5 87.500 (81.418)
Epoch: [70][6120/14090]	Time 0.728 (0.767)	Data 0.001 (0.006)	Loss 2.0364 (1.8424)	Prec@1 46.875 (51.857)	Prec@5 78.906 (81.417)
Epoch: [70][6130/14090]	Time 0.723 (0.767)	Data 0.001 (0.006)	Loss 1.6891 (1.8423)	Prec@1 58.594 (51.858)	Prec@5 89.844 (81.420)
Epoch: [70][6140/14090]	Time 0.761 (0.767)	Data 0.001 (0.006)	Loss 1.8927 (1.8423)	Prec@1 48.438 (51.858)	Prec@5 81.250 (81.419)
Epoch: [70][6150/14090]	Time 0.761 (0.767)	Data 0.001 (0.006)	Loss 1.6944 (1.8421)	Prec@1 57.031 (51.861)	Prec@5 85.156 (81.421)
Epoch: [70][6160/14090]	Time 0.753 (0.767)	Data 0.001 (0.006)	Loss 1.9828 (1.8423)	Prec@1 50.781 (51.857)	Prec@5 78.125 (81.419)
Epoch: [70][6170/14090]	Time 0.868 (0.767)	Data 0.001 (0.006)	Loss 2.0311 (1.8423)	Prec@1 46.094 (51.859)	Prec@5 81.250 (81.418)
Epoch: [70][6180/14090]	Time 0.742 (0.767)	Data 0.001 (0.006)	Loss 1.8664 (1.8422)	Prec@1 53.125 (51.859)	Prec@5 81.250 (81.420)
Epoch: [70][6190/14090]	Time 0.770 (0.767)	Data 0.001 (0.006)	Loss 1.7823 (1.8422)	Prec@1 52.344 (51.860)	Prec@5 80.469 (81.421)
Epoch: [70][6200/14090]	Time 0.744 (0.767)	Data 0.001 (0.006)	Loss 1.9828 (1.8421)	Prec@1 52.344 (51.866)	Prec@5 77.344 (81.422)
Epoch: [70][6210/14090]	Time 0.774 (0.767)	Data 0.001 (0.006)	Loss 1.6579 (1.8421)	Prec@1 57.812 (51.867)	Prec@5 84.375 (81.421)
Epoch: [70][6220/14090]	Time 0.752 (0.767)	Data 0.001 (0.006)	Loss 1.8154 (1.8421)	Prec@1 53.906 (51.868)	Prec@5 81.250 (81.422)
Epoch: [70][6230/14090]	Time 0.751 (0.767)	Data 0.001 (0.006)	Loss 1.9051 (1.8422)	Prec@1 50.781 (51.862)	Prec@5 85.156 (81.421)
Epoch: [70][6240/14090]	Time 0.874 (0.767)	Data 0.001 (0.006)	Loss 1.7255 (1.8422)	Prec@1 60.156 (51.862)	Prec@5 82.812 (81.421)
Epoch: [70][6250/14090]	Time 0.722 (0.767)	Data 0.001 (0.006)	Loss 1.6688 (1.8421)	Prec@1 54.688 (51.866)	Prec@5 80.469 (81.421)
Epoch: [70][6260/14090]	Time 0.735 (0.767)	Data 0.001 (0.006)	Loss 2.1298 (1.8421)	Prec@1 42.969 (51.867)	Prec@5 79.688 (81.423)
Epoch: [70][6270/14090]	Time 0.772 (0.767)	Data 0.001 (0.006)	Loss 2.1278 (1.8422)	Prec@1 46.875 (51.869)	Prec@5 75.781 (81.424)
Epoch: [70][6280/14090]	Time 0.755 (0.767)	Data 0.001 (0.006)	Loss 1.9780 (1.8422)	Prec@1 53.125 (51.868)	Prec@5 83.594 (81.423)
Epoch: [70][6290/14090]	Time 0.737 (0.767)	Data 0.001 (0.006)	Loss 1.6545 (1.8422)	Prec@1 50.781 (51.868)	Prec@5 85.156 (81.420)
Epoch: [70][6300/14090]	Time 0.732 (0.767)	Data 0.001 (0.006)	Loss 1.7449 (1.8423)	Prec@1 51.562 (51.868)	Prec@5 80.469 (81.419)
Epoch: [70][6310/14090]	Time 0.882 (0.767)	Data 0.001 (0.006)	Loss 2.0438 (1.8421)	Prec@1 48.438 (51.873)	Prec@5 80.469 (81.421)
Epoch: [70][6320/14090]	Time 0.726 (0.767)	Data 0.001 (0.006)	Loss 1.8448 (1.8422)	Prec@1 50.000 (51.872)	Prec@5 82.031 (81.419)
Epoch: [70][6330/14090]	Time 0.748 (0.767)	Data 0.001 (0.006)	Loss 1.4872 (1.8420)	Prec@1 64.062 (51.877)	Prec@5 87.500 (81.423)
Epoch: [70][6340/14090]	Time 0.723 (0.767)	Data 0.001 (0.006)	Loss 1.8851 (1.8419)	Prec@1 57.812 (51.879)	Prec@5 77.344 (81.424)
Epoch: [70][6350/14090]	Time 0.728 (0.767)	Data 0.001 (0.006)	Loss 1.9975 (1.8420)	Prec@1 48.438 (51.876)	Prec@5 75.781 (81.421)
Epoch: [70][6360/14090]	Time 0.788 (0.767)	Data 0.001 (0.006)	Loss 1.8766 (1.8420)	Prec@1 52.344 (51.875)	Prec@5 78.906 (81.422)
Epoch: [70][6370/14090]	Time 0.734 (0.767)	Data 0.001 (0.006)	Loss 2.3218 (1.8421)	Prec@1 46.875 (51.873)	Prec@5 73.438 (81.423)
Epoch: [70][6380/14090]	Time 0.863 (0.767)	Data 0.001 (0.006)	Loss 1.8100 (1.8421)	Prec@1 53.906 (51.872)	Prec@5 81.250 (81.423)
Epoch: [70][6390/14090]	Time 0.746 (0.767)	Data 0.001 (0.006)	Loss 1.8392 (1.8421)	Prec@1 50.781 (51.871)	Prec@5 85.156 (81.423)
Epoch: [70][6400/14090]	Time 0.777 (0.767)	Data 0.001 (0.006)	Loss 1.8061 (1.8420)	Prec@1 56.250 (51.873)	Prec@5 82.031 (81.424)
Epoch: [70][6410/14090]	Time 0.743 (0.767)	Data 0.001 (0.006)	Loss 1.9344 (1.8420)	Prec@1 53.125 (51.873)	Prec@5 82.031 (81.424)
Epoch: [70][6420/14090]	Time 0.755 (0.767)	Data 0.001 (0.006)	Loss 1.8291 (1.8419)	Prec@1 49.219 (51.873)	Prec@5 76.562 (81.427)
Epoch: [70][6430/14090]	Time 0.751 (0.767)	Data 0.001 (0.006)	Loss 2.0792 (1.8420)	Prec@1 48.438 (51.871)	Prec@5 78.125 (81.426)
Epoch: [70][6440/14090]	Time 0.776 (0.767)	Data 0.001 (0.006)	Loss 1.9890 (1.8420)	Prec@1 47.656 (51.871)	Prec@5 75.781 (81.426)
Epoch: [70][6450/14090]	Time 0.868 (0.767)	Data 0.001 (0.006)	Loss 2.2436 (1.8422)	Prec@1 49.219 (51.868)	Prec@5 76.562 (81.424)
Epoch: [70][6460/14090]	Time 0.754 (0.767)	Data 0.001 (0.006)	Loss 2.0396 (1.8422)	Prec@1 44.531 (51.866)	Prec@5 77.344 (81.423)
Epoch: [70][6470/14090]	Time 0.755 (0.767)	Data 0.001 (0.006)	Loss 1.8677 (1.8423)	Prec@1 53.125 (51.866)	Prec@5 82.812 (81.424)
Epoch: [70][6480/14090]	Time 0.735 (0.767)	Data 0.001 (0.006)	Loss 1.9099 (1.8423)	Prec@1 46.875 (51.864)	Prec@5 78.906 (81.423)
Epoch: [70][6490/14090]	Time 0.731 (0.767)	Data 0.001 (0.006)	Loss 1.8611 (1.8422)	Prec@1 51.562 (51.866)	Prec@5 79.688 (81.424)
Epoch: [70][6500/14090]	Time 0.753 (0.767)	Data 0.001 (0.006)	Loss 2.0301 (1.8423)	Prec@1 50.000 (51.864)	Prec@5 78.125 (81.422)
Epoch: [70][6510/14090]	Time 0.765 (0.767)	Data 0.001 (0.006)	Loss 1.7157 (1.8423)	Prec@1 58.594 (51.865)	Prec@5 82.812 (81.424)
Epoch: [70][6520/14090]	Time 0.872 (0.767)	Data 0.001 (0.006)	Loss 1.8577 (1.8423)	Prec@1 51.562 (51.863)	Prec@5 81.250 (81.423)
Epoch: [70][6530/14090]	Time 0.745 (0.767)	Data 0.001 (0.006)	Loss 1.8625 (1.8423)	Prec@1 52.344 (51.863)	Prec@5 83.594 (81.425)
Epoch: [70][6540/14090]	Time 0.732 (0.767)	Data 0.001 (0.006)	Loss 2.0309 (1.8422)	Prec@1 48.438 (51.864)	Prec@5 81.250 (81.427)
Epoch: [70][6550/14090]	Time 0.730 (0.767)	Data 0.001 (0.006)	Loss 1.8669 (1.8421)	Prec@1 50.000 (51.865)	Prec@5 80.469 (81.428)
Epoch: [70][6560/14090]	Time 0.763 (0.767)	Data 0.001 (0.006)	Loss 1.7804 (1.8421)	Prec@1 53.906 (51.865)	Prec@5 85.938 (81.429)
Epoch: [70][6570/14090]	Time 0.721 (0.767)	Data 0.001 (0.006)	Loss 1.7787 (1.8420)	Prec@1 51.562 (51.865)	Prec@5 78.906 (81.431)
Epoch: [70][6580/14090]	Time 0.738 (0.766)	Data 0.001 (0.006)	Loss 2.0759 (1.8420)	Prec@1 46.094 (51.863)	Prec@5 78.125 (81.433)
Epoch: [70][6590/14090]	Time 0.859 (0.766)	Data 0.001 (0.006)	Loss 1.9243 (1.8420)	Prec@1 52.344 (51.863)	Prec@5 80.469 (81.431)
Epoch: [70][6600/14090]	Time 0.751 (0.766)	Data 0.001 (0.006)	Loss 1.9109 (1.8419)	Prec@1 55.469 (51.865)	Prec@5 78.906 (81.433)
Epoch: [70][6610/14090]	Time 0.784 (0.766)	Data 0.001 (0.006)	Loss 1.8492 (1.8420)	Prec@1 50.000 (51.864)	Prec@5 80.469 (81.432)
Epoch: [70][6620/14090]	Time 0.724 (0.766)	Data 0.001 (0.006)	Loss 1.8047 (1.8420)	Prec@1 53.906 (51.864)	Prec@5 83.594 (81.431)
Epoch: [70][6630/14090]	Time 0.735 (0.766)	Data 0.001 (0.006)	Loss 1.8401 (1.8420)	Prec@1 46.875 (51.863)	Prec@5 85.938 (81.431)
Epoch: [70][6640/14090]	Time 0.726 (0.766)	Data 0.001 (0.006)	Loss 1.7623 (1.8420)	Prec@1 50.781 (51.864)	Prec@5 82.812 (81.432)
Epoch: [70][6650/14090]	Time 0.748 (0.766)	Data 0.001 (0.006)	Loss 1.7892 (1.8420)	Prec@1 49.219 (51.864)	Prec@5 85.156 (81.433)
Epoch: [70][6660/14090]	Time 0.886 (0.766)	Data 0.001 (0.006)	Loss 1.7548 (1.8419)	Prec@1 49.219 (51.864)	Prec@5 90.625 (81.435)
Epoch: [70][6670/14090]	Time 0.738 (0.766)	Data 0.001 (0.006)	Loss 1.8059 (1.8420)	Prec@1 55.469 (51.862)	Prec@5 80.469 (81.435)
Epoch: [70][6680/14090]	Time 0.750 (0.766)	Data 0.001 (0.006)	Loss 1.7304 (1.8421)	Prec@1 52.344 (51.861)	Prec@5 81.250 (81.435)
Epoch: [70][6690/14090]	Time 0.757 (0.766)	Data 0.001 (0.006)	Loss 2.0336 (1.8422)	Prec@1 52.344 (51.857)	Prec@5 78.125 (81.433)
Epoch: [70][6700/14090]	Time 0.771 (0.766)	Data 0.001 (0.006)	Loss 1.6236 (1.8422)	Prec@1 55.469 (51.856)	Prec@5 87.500 (81.433)
Epoch: [70][6710/14090]	Time 0.736 (0.766)	Data 0.001 (0.006)	Loss 1.9850 (1.8422)	Prec@1 51.562 (51.857)	Prec@5 79.688 (81.434)
Epoch: [70][6720/14090]	Time 0.773 (0.766)	Data 0.001 (0.006)	Loss 1.8693 (1.8421)	Prec@1 52.344 (51.860)	Prec@5 79.688 (81.434)
Epoch: [70][6730/14090]	Time 0.903 (0.766)	Data 0.001 (0.006)	Loss 1.8227 (1.8420)	Prec@1 51.562 (51.863)	Prec@5 82.812 (81.437)
Epoch: [70][6740/14090]	Time 0.767 (0.766)	Data 0.001 (0.006)	Loss 2.0223 (1.8419)	Prec@1 49.219 (51.864)	Prec@5 75.000 (81.437)
Epoch: [70][6750/14090]	Time 0.730 (0.766)	Data 0.001 (0.006)	Loss 2.1244 (1.8419)	Prec@1 46.875 (51.863)	Prec@5 78.906 (81.436)
Epoch: [70][6760/14090]	Time 0.724 (0.766)	Data 0.001 (0.006)	Loss 1.8438 (1.8419)	Prec@1 48.438 (51.864)	Prec@5 79.688 (81.438)
Epoch: [70][6770/14090]	Time 0.738 (0.766)	Data 0.001 (0.006)	Loss 1.9311 (1.8417)	Prec@1 46.875 (51.867)	Prec@5 81.250 (81.441)
Epoch: [70][6780/14090]	Time 0.730 (0.766)	Data 0.001 (0.006)	Loss 1.8151 (1.8417)	Prec@1 51.562 (51.866)	Prec@5 82.031 (81.440)
Epoch: [70][6790/14090]	Time 0.723 (0.766)	Data 0.001 (0.006)	Loss 2.1206 (1.8419)	Prec@1 41.406 (51.862)	Prec@5 77.344 (81.438)
Epoch: [70][6800/14090]	Time 0.883 (0.766)	Data 0.001 (0.006)	Loss 2.1441 (1.8419)	Prec@1 39.844 (51.860)	Prec@5 77.344 (81.437)
Epoch: [70][6810/14090]	Time 0.730 (0.766)	Data 0.001 (0.006)	Loss 1.7527 (1.8418)	Prec@1 53.125 (51.863)	Prec@5 83.594 (81.439)
Epoch: [70][6820/14090]	Time 0.736 (0.766)	Data 0.001 (0.006)	Loss 1.5227 (1.8417)	Prec@1 56.250 (51.864)	Prec@5 88.281 (81.440)
Epoch: [70][6830/14090]	Time 0.724 (0.766)	Data 0.001 (0.006)	Loss 1.7705 (1.8417)	Prec@1 52.344 (51.862)	Prec@5 82.812 (81.442)
Epoch: [70][6840/14090]	Time 0.736 (0.766)	Data 0.001 (0.006)	Loss 1.5536 (1.8417)	Prec@1 58.594 (51.863)	Prec@5 83.594 (81.442)
Epoch: [70][6850/14090]	Time 0.761 (0.766)	Data 0.001 (0.005)	Loss 1.9925 (1.8417)	Prec@1 51.562 (51.863)	Prec@5 78.906 (81.442)
Epoch: [70][6860/14090]	Time 0.722 (0.766)	Data 0.001 (0.005)	Loss 1.6193 (1.8417)	Prec@1 56.250 (51.864)	Prec@5 86.719 (81.442)
Epoch: [70][6870/14090]	Time 0.866 (0.766)	Data 0.001 (0.005)	Loss 1.6260 (1.8417)	Prec@1 60.938 (51.866)	Prec@5 85.156 (81.441)
Epoch: [70][6880/14090]	Time 0.742 (0.766)	Data 0.001 (0.005)	Loss 1.9033 (1.8417)	Prec@1 48.438 (51.863)	Prec@5 79.688 (81.443)
Epoch: [70][6890/14090]	Time 0.750 (0.766)	Data 0.001 (0.005)	Loss 1.7386 (1.8418)	Prec@1 50.781 (51.865)	Prec@5 82.031 (81.442)
Epoch: [70][6900/14090]	Time 0.768 (0.766)	Data 0.001 (0.005)	Loss 1.8882 (1.8420)	Prec@1 50.000 (51.858)	Prec@5 80.469 (81.438)
Epoch: [70][6910/14090]	Time 0.749 (0.766)	Data 0.001 (0.005)	Loss 1.7389 (1.8419)	Prec@1 57.031 (51.858)	Prec@5 82.812 (81.439)
Epoch: [70][6920/14090]	Time 0.750 (0.766)	Data 0.001 (0.005)	Loss 1.9641 (1.8419)	Prec@1 48.438 (51.857)	Prec@5 82.031 (81.441)
Epoch: [70][6930/14090]	Time 0.738 (0.766)	Data 0.001 (0.005)	Loss 1.6623 (1.8418)	Prec@1 57.812 (51.859)	Prec@5 83.594 (81.442)
Epoch: [70][6940/14090]	Time 0.855 (0.766)	Data 0.001 (0.005)	Loss 1.8101 (1.8417)	Prec@1 51.562 (51.861)	Prec@5 82.812 (81.442)
Epoch: [70][6950/14090]	Time 0.727 (0.766)	Data 0.001 (0.005)	Loss 1.8887 (1.8417)	Prec@1 51.562 (51.859)	Prec@5 80.469 (81.440)
Epoch: [70][6960/14090]	Time 0.750 (0.766)	Data 0.001 (0.005)	Loss 1.7296 (1.8416)	Prec@1 51.562 (51.861)	Prec@5 83.594 (81.439)
Epoch: [70][6970/14090]	Time 0.757 (0.766)	Data 0.001 (0.005)	Loss 1.7491 (1.8415)	Prec@1 52.344 (51.862)	Prec@5 85.938 (81.442)
Epoch: [70][6980/14090]	Time 0.729 (0.766)	Data 0.001 (0.005)	Loss 1.8778 (1.8415)	Prec@1 53.906 (51.862)	Prec@5 78.906 (81.444)
Epoch: [70][6990/14090]	Time 0.735 (0.766)	Data 0.001 (0.005)	Loss 1.7438 (1.8415)	Prec@1 56.250 (51.862)	Prec@5 82.812 (81.445)
Epoch: [70][7000/14090]	Time 0.736 (0.766)	Data 0.001 (0.005)	Loss 1.8730 (1.8415)	Prec@1 50.000 (51.860)	Prec@5 79.688 (81.443)
Epoch: [70][7010/14090]	Time 0.852 (0.766)	Data 0.001 (0.005)	Loss 1.7587 (1.8415)	Prec@1 48.438 (51.859)	Prec@5 82.031 (81.443)
Epoch: [70][7020/14090]	Time 0.739 (0.766)	Data 0.001 (0.005)	Loss 1.8385 (1.8415)	Prec@1 48.438 (51.857)	Prec@5 83.594 (81.442)
Epoch: [70][7030/14090]	Time 0.749 (0.766)	Data 0.001 (0.005)	Loss 1.8306 (1.8416)	Prec@1 54.688 (51.858)	Prec@5 78.125 (81.441)
Epoch: [70][7040/14090]	Time 0.755 (0.766)	Data 0.001 (0.005)	Loss 1.7985 (1.8416)	Prec@1 52.344 (51.858)	Prec@5 82.031 (81.441)
Epoch: [70][7050/14090]	Time 0.732 (0.766)	Data 0.001 (0.005)	Loss 1.8696 (1.8416)	Prec@1 52.344 (51.859)	Prec@5 82.812 (81.441)
Epoch: [70][7060/14090]	Time 0.733 (0.766)	Data 0.001 (0.005)	Loss 1.6649 (1.8416)	Prec@1 53.125 (51.855)	Prec@5 85.938 (81.440)
Epoch: [70][7070/14090]	Time 0.754 (0.766)	Data 0.001 (0.005)	Loss 2.2658 (1.8417)	Prec@1 41.406 (51.853)	Prec@5 74.219 (81.438)
Epoch: [70][7080/14090]	Time 0.857 (0.766)	Data 0.001 (0.005)	Loss 1.6369 (1.8418)	Prec@1 57.812 (51.852)	Prec@5 85.938 (81.438)
Epoch: [70][7090/14090]	Time 0.750 (0.766)	Data 0.001 (0.005)	Loss 1.8923 (1.8418)	Prec@1 51.562 (51.850)	Prec@5 82.812 (81.440)
Epoch: [70][7100/14090]	Time 0.755 (0.766)	Data 0.001 (0.005)	Loss 1.9550 (1.8417)	Prec@1 48.438 (51.851)	Prec@5 80.469 (81.443)
Epoch: [70][7110/14090]	Time 0.742 (0.766)	Data 0.001 (0.005)	Loss 1.7508 (1.8417)	Prec@1 55.469 (51.852)	Prec@5 82.031 (81.443)
Epoch: [70][7120/14090]	Time 0.739 (0.766)	Data 0.001 (0.005)	Loss 1.7843 (1.8417)	Prec@1 54.688 (51.855)	Prec@5 83.594 (81.445)
Epoch: [70][7130/14090]	Time 0.758 (0.766)	Data 0.001 (0.005)	Loss 1.8996 (1.8417)	Prec@1 51.562 (51.855)	Prec@5 79.688 (81.444)
Epoch: [70][7140/14090]	Time 0.736 (0.766)	Data 0.001 (0.005)	Loss 1.7483 (1.8417)	Prec@1 53.125 (51.855)	Prec@5 74.219 (81.444)
Epoch: [70][7150/14090]	Time 0.876 (0.766)	Data 0.001 (0.005)	Loss 1.6441 (1.8416)	Prec@1 54.688 (51.854)	Prec@5 84.375 (81.445)
Epoch: [70][7160/14090]	Time 0.728 (0.766)	Data 0.001 (0.005)	Loss 2.1150 (1.8418)	Prec@1 44.531 (51.851)	Prec@5 77.344 (81.442)
Epoch: [70][7170/14090]	Time 0.738 (0.766)	Data 0.001 (0.005)	Loss 2.1885 (1.8418)	Prec@1 44.531 (51.849)	Prec@5 77.344 (81.440)
Epoch: [70][7180/14090]	Time 0.726 (0.766)	Data 0.001 (0.005)	Loss 1.6422 (1.8418)	Prec@1 57.812 (51.851)	Prec@5 84.375 (81.440)
Epoch: [70][7190/14090]	Time 0.773 (0.766)	Data 0.001 (0.005)	Loss 1.7379 (1.8417)	Prec@1 56.250 (51.854)	Prec@5 82.031 (81.443)
Epoch: [70][7200/14090]	Time 0.739 (0.766)	Data 0.001 (0.005)	Loss 1.8822 (1.8416)	Prec@1 50.781 (51.859)	Prec@5 82.031 (81.444)
Epoch: [70][7210/14090]	Time 0.733 (0.766)	Data 0.001 (0.005)	Loss 1.8512 (1.8416)	Prec@1 57.812 (51.860)	Prec@5 80.469 (81.444)
Epoch: [70][7220/14090]	Time 0.873 (0.766)	Data 0.001 (0.005)	Loss 1.7636 (1.8416)	Prec@1 56.250 (51.861)	Prec@5 81.250 (81.443)
Epoch: [70][7230/14090]	Time 0.744 (0.766)	Data 0.001 (0.005)	Loss 1.9937 (1.8416)	Prec@1 49.219 (51.862)	Prec@5 81.250 (81.444)
Epoch: [70][7240/14090]	Time 0.773 (0.766)	Data 0.001 (0.005)	Loss 1.7727 (1.8416)	Prec@1 53.906 (51.861)	Prec@5 79.688 (81.443)
Epoch: [70][7250/14090]	Time 0.742 (0.766)	Data 0.001 (0.005)	Loss 1.8696 (1.8417)	Prec@1 51.562 (51.859)	Prec@5 78.125 (81.440)
Epoch: [70][7260/14090]	Time 0.754 (0.766)	Data 0.001 (0.005)	Loss 1.7785 (1.8417)	Prec@1 53.906 (51.858)	Prec@5 84.375 (81.441)
Epoch: [70][7270/14090]	Time 0.728 (0.766)	Data 0.001 (0.005)	Loss 1.9610 (1.8417)	Prec@1 46.875 (51.858)	Prec@5 85.156 (81.442)
Epoch: [70][7280/14090]	Time 0.730 (0.766)	Data 0.001 (0.005)	Loss 2.0689 (1.8417)	Prec@1 46.875 (51.858)	Prec@5 77.344 (81.442)
Epoch: [70][7290/14090]	Time 0.857 (0.766)	Data 0.001 (0.005)	Loss 1.8819 (1.8417)	Prec@1 49.219 (51.856)	Prec@5 83.594 (81.443)
Epoch: [70][7300/14090]	Time 0.753 (0.766)	Data 0.001 (0.005)	Loss 1.7020 (1.8417)	Prec@1 53.906 (51.856)	Prec@5 85.938 (81.442)
Epoch: [70][7310/14090]	Time 0.721 (0.766)	Data 0.001 (0.005)	Loss 1.9774 (1.8417)	Prec@1 47.656 (51.856)	Prec@5 75.000 (81.442)
Epoch: [70][7320/14090]	Time 0.724 (0.766)	Data 0.001 (0.005)	Loss 1.9457 (1.8418)	Prec@1 50.781 (51.851)	Prec@5 80.469 (81.441)
Epoch: [70][7330/14090]	Time 0.745 (0.766)	Data 0.001 (0.005)	Loss 1.8086 (1.8418)	Prec@1 51.562 (51.849)	Prec@5 81.250 (81.439)
Epoch: [70][7340/14090]	Time 0.749 (0.766)	Data 0.001 (0.005)	Loss 2.0938 (1.8418)	Prec@1 50.000 (51.852)	Prec@5 75.000 (81.439)
Epoch: [70][7350/14090]	Time 0.749 (0.766)	Data 0.001 (0.005)	Loss 1.7702 (1.8418)	Prec@1 48.438 (51.853)	Prec@5 83.594 (81.439)
Epoch: [70][7360/14090]	Time 0.872 (0.766)	Data 0.001 (0.005)	Loss 1.8823 (1.8417)	Prec@1 57.031 (51.856)	Prec@5 81.250 (81.442)
Epoch: [70][7370/14090]	Time 0.728 (0.766)	Data 0.001 (0.005)	Loss 1.6360 (1.8416)	Prec@1 53.906 (51.863)	Prec@5 83.594 (81.442)
Epoch: [70][7380/14090]	Time 0.730 (0.766)	Data 0.001 (0.005)	Loss 1.8008 (1.8416)	Prec@1 52.344 (51.864)	Prec@5 85.156 (81.441)
Epoch: [70][7390/14090]	Time 0.760 (0.766)	Data 0.001 (0.005)	Loss 1.8617 (1.8416)	Prec@1 49.219 (51.865)	Prec@5 82.031 (81.440)
Epoch: [70][7400/14090]	Time 0.770 (0.766)	Data 0.001 (0.005)	Loss 1.8486 (1.8417)	Prec@1 53.125 (51.863)	Prec@5 81.250 (81.438)
Epoch: [70][7410/14090]	Time 0.737 (0.766)	Data 0.001 (0.005)	Loss 1.5508 (1.8415)	Prec@1 56.250 (51.866)	Prec@5 88.281 (81.440)
Epoch: [70][7420/14090]	Time 0.780 (0.766)	Data 0.001 (0.005)	Loss 1.9665 (1.8415)	Prec@1 50.781 (51.867)	Prec@5 83.594 (81.441)
Epoch: [70][7430/14090]	Time 0.849 (0.766)	Data 0.001 (0.005)	Loss 1.6898 (1.8416)	Prec@1 59.375 (51.865)	Prec@5 83.594 (81.440)
Epoch: [70][7440/14090]	Time 0.737 (0.766)	Data 0.001 (0.005)	Loss 1.6566 (1.8414)	Prec@1 57.031 (51.869)	Prec@5 82.812 (81.442)
Epoch: [70][7450/14090]	Time 0.725 (0.766)	Data 0.001 (0.005)	Loss 1.7606 (1.8415)	Prec@1 51.562 (51.867)	Prec@5 79.688 (81.441)
Epoch: [70][7460/14090]	Time 0.740 (0.766)	Data 0.001 (0.005)	Loss 1.7913 (1.8416)	Prec@1 51.562 (51.865)	Prec@5 79.688 (81.439)
Epoch: [70][7470/14090]	Time 0.732 (0.766)	Data 0.001 (0.005)	Loss 2.0631 (1.8417)	Prec@1 50.781 (51.862)	Prec@5 76.562 (81.438)
Epoch: [70][7480/14090]	Time 0.766 (0.766)	Data 0.001 (0.005)	Loss 2.1987 (1.8418)	Prec@1 45.312 (51.859)	Prec@5 73.438 (81.435)
Epoch: [70][7490/14090]	Time 0.746 (0.766)	Data 0.001 (0.005)	Loss 1.8563 (1.8418)	Prec@1 53.125 (51.859)	Prec@5 79.688 (81.434)
Epoch: [70][7500/14090]	Time 0.826 (0.766)	Data 0.001 (0.005)	Loss 1.8899 (1.8417)	Prec@1 54.688 (51.860)	Prec@5 78.906 (81.435)
Epoch: [70][7510/14090]	Time 0.740 (0.766)	Data 0.001 (0.005)	Loss 1.7962 (1.8418)	Prec@1 46.094 (51.862)	Prec@5 82.812 (81.434)
Epoch: [70][7520/14090]	Time 0.728 (0.766)	Data 0.001 (0.005)	Loss 1.9167 (1.8418)	Prec@1 44.531 (51.861)	Prec@5 82.031 (81.434)
Epoch: [70][7530/14090]	Time 0.734 (0.766)	Data 0.001 (0.005)	Loss 1.8725 (1.8417)	Prec@1 51.562 (51.861)	Prec@5 82.812 (81.435)
Epoch: [70][7540/14090]	Time 0.725 (0.766)	Data 0.001 (0.005)	Loss 1.7972 (1.8416)	Prec@1 56.250 (51.863)	Prec@5 81.250 (81.436)
Epoch: [70][7550/14090]	Time 0.751 (0.766)	Data 0.001 (0.005)	Loss 1.7200 (1.8416)	Prec@1 53.906 (51.865)	Prec@5 84.375 (81.437)
Epoch: [70][7560/14090]	Time 0.770 (0.766)	Data 0.001 (0.005)	Loss 2.0031 (1.8417)	Prec@1 48.438 (51.862)	Prec@5 80.469 (81.437)
Epoch: [70][7570/14090]	Time 0.877 (0.766)	Data 0.001 (0.005)	Loss 1.6667 (1.8417)	Prec@1 53.125 (51.861)	Prec@5 84.375 (81.437)
Epoch: [70][7580/14090]	Time 0.737 (0.766)	Data 0.001 (0.005)	Loss 1.5885 (1.8417)	Prec@1 57.031 (51.862)	Prec@5 84.375 (81.437)
Epoch: [70][7590/14090]	Time 0.739 (0.766)	Data 0.001 (0.005)	Loss 2.1507 (1.8417)	Prec@1 44.531 (51.859)	Prec@5 75.000 (81.436)
Epoch: [70][7600/14090]	Time 0.747 (0.766)	Data 0.001 (0.005)	Loss 1.7820 (1.8417)	Prec@1 52.344 (51.857)	Prec@5 84.375 (81.436)
Epoch: [70][7610/14090]	Time 0.763 (0.766)	Data 0.001 (0.005)	Loss 1.8664 (1.8416)	Prec@1 54.688 (51.859)	Prec@5 80.469 (81.437)
Epoch: [70][7620/14090]	Time 0.766 (0.766)	Data 0.001 (0.005)	Loss 1.8522 (1.8417)	Prec@1 51.562 (51.856)	Prec@5 85.156 (81.438)
Epoch: [70][7630/14090]	Time 0.737 (0.766)	Data 0.001 (0.005)	Loss 1.7844 (1.8418)	Prec@1 51.562 (51.853)	Prec@5 78.906 (81.437)
Epoch: [70][7640/14090]	Time 0.856 (0.766)	Data 0.001 (0.005)	Loss 1.8355 (1.8418)	Prec@1 56.250 (51.852)	Prec@5 82.812 (81.435)
Epoch: [70][7650/14090]	Time 0.738 (0.766)	Data 0.001 (0.005)	Loss 1.8085 (1.8418)	Prec@1 52.344 (51.850)	Prec@5 81.250 (81.435)
Epoch: [70][7660/14090]	Time 0.762 (0.766)	Data 0.001 (0.005)	Loss 1.8317 (1.8418)	Prec@1 49.219 (51.848)	Prec@5 87.500 (81.434)
Epoch: [70][7670/14090]	Time 0.745 (0.766)	Data 0.001 (0.005)	Loss 1.7795 (1.8419)	Prec@1 52.344 (51.847)	Prec@5 79.688 (81.432)
Epoch: [70][7680/14090]	Time 0.763 (0.766)	Data 0.001 (0.005)	Loss 1.6365 (1.8420)	Prec@1 51.562 (51.843)	Prec@5 83.594 (81.431)
Epoch: [70][7690/14090]	Time 0.744 (0.766)	Data 0.001 (0.005)	Loss 1.9674 (1.8420)	Prec@1 46.875 (51.842)	Prec@5 80.469 (81.433)
Epoch: [70][7700/14090]	Time 0.751 (0.766)	Data 0.001 (0.005)	Loss 1.7506 (1.8419)	Prec@1 56.250 (51.846)	Prec@5 78.906 (81.435)
Epoch: [70][7710/14090]	Time 0.883 (0.766)	Data 0.001 (0.005)	Loss 1.8261 (1.8420)	Prec@1 54.688 (51.846)	Prec@5 82.812 (81.435)
Epoch: [70][7720/14090]	Time 0.749 (0.766)	Data 0.001 (0.005)	Loss 1.8308 (1.8419)	Prec@1 48.438 (51.846)	Prec@5 79.688 (81.435)
Epoch: [70][7730/14090]	Time 0.733 (0.766)	Data 0.001 (0.005)	Loss 2.0268 (1.8420)	Prec@1 49.219 (51.846)	Prec@5 78.125 (81.433)
Epoch: [70][7740/14090]	Time 0.725 (0.766)	Data 0.001 (0.005)	Loss 2.1245 (1.8421)	Prec@1 47.656 (51.845)	Prec@5 76.562 (81.432)
Epoch: [70][7750/14090]	Time 0.735 (0.766)	Data 0.001 (0.005)	Loss 1.7104 (1.8422)	Prec@1 53.125 (51.842)	Prec@5 85.938 (81.432)
Epoch: [70][7760/14090]	Time 0.744 (0.766)	Data 0.001 (0.005)	Loss 1.7733 (1.8422)	Prec@1 50.781 (51.842)	Prec@5 82.812 (81.431)
Epoch: [70][7770/14090]	Time 0.738 (0.766)	Data 0.001 (0.005)	Loss 1.9563 (1.8422)	Prec@1 46.094 (51.839)	Prec@5 81.250 (81.428)
Epoch: [70][7780/14090]	Time 0.835 (0.766)	Data 0.001 (0.005)	Loss 1.6029 (1.8422)	Prec@1 61.719 (51.841)	Prec@5 85.156 (81.429)
Epoch: [70][7790/14090]	Time 0.745 (0.766)	Data 0.001 (0.005)	Loss 2.0172 (1.8421)	Prec@1 47.656 (51.839)	Prec@5 77.344 (81.429)
Epoch: [70][7800/14090]	Time 0.740 (0.766)	Data 0.001 (0.005)	Loss 1.9863 (1.8422)	Prec@1 53.906 (51.840)	Prec@5 76.562 (81.427)
Epoch: [70][7810/14090]	Time 0.776 (0.766)	Data 0.001 (0.005)	Loss 1.8210 (1.8421)	Prec@1 46.875 (51.840)	Prec@5 81.250 (81.425)
Epoch: [70][7820/14090]	Time 0.756 (0.766)	Data 0.001 (0.005)	Loss 1.6732 (1.8422)	Prec@1 55.469 (51.839)	Prec@5 87.500 (81.426)
Epoch: [70][7830/14090]	Time 0.770 (0.766)	Data 0.001 (0.005)	Loss 1.8160 (1.8423)	Prec@1 52.344 (51.837)	Prec@5 80.469 (81.424)
Epoch: [70][7840/14090]	Time 0.744 (0.766)	Data 0.001 (0.005)	Loss 2.0771 (1.8423)	Prec@1 42.969 (51.835)	Prec@5 76.562 (81.423)
Epoch: [70][7850/14090]	Time 0.844 (0.766)	Data 0.001 (0.005)	Loss 1.6916 (1.8424)	Prec@1 50.781 (51.833)	Prec@5 88.281 (81.422)
Epoch: [70][7860/14090]	Time 0.774 (0.766)	Data 0.001 (0.005)	Loss 1.7643 (1.8424)	Prec@1 50.000 (51.831)	Prec@5 84.375 (81.421)
Epoch: [70][7870/14090]	Time 0.742 (0.766)	Data 0.001 (0.005)	Loss 1.7255 (1.8423)	Prec@1 57.031 (51.834)	Prec@5 83.594 (81.422)
Epoch: [70][7880/14090]	Time 0.753 (0.766)	Data 0.001 (0.005)	Loss 1.7640 (1.8424)	Prec@1 57.031 (51.835)	Prec@5 83.594 (81.422)
Epoch: [70][7890/14090]	Time 0.762 (0.766)	Data 0.001 (0.005)	Loss 1.9679 (1.8423)	Prec@1 50.781 (51.836)	Prec@5 79.688 (81.422)
Epoch: [70][7900/14090]	Time 0.749 (0.766)	Data 0.001 (0.005)	Loss 1.9137 (1.8424)	Prec@1 50.781 (51.835)	Prec@5 82.812 (81.421)
Epoch: [70][7910/14090]	Time 0.753 (0.766)	Data 0.001 (0.005)	Loss 1.9814 (1.8425)	Prec@1 46.875 (51.831)	Prec@5 77.344 (81.421)
Epoch: [70][7920/14090]	Time 0.881 (0.766)	Data 0.001 (0.005)	Loss 1.8440 (1.8424)	Prec@1 54.688 (51.831)	Prec@5 77.344 (81.419)
Epoch: [70][7930/14090]	Time 0.737 (0.766)	Data 0.001 (0.005)	Loss 1.6164 (1.8426)	Prec@1 58.594 (51.827)	Prec@5 85.938 (81.416)
Epoch: [70][7940/14090]	Time 0.725 (0.766)	Data 0.001 (0.005)	Loss 2.0390 (1.8425)	Prec@1 48.438 (51.828)	Prec@5 78.125 (81.418)
Epoch: [70][7950/14090]	Time 0.730 (0.766)	Data 0.001 (0.005)	Loss 1.6140 (1.8425)	Prec@1 58.594 (51.829)	Prec@5 82.031 (81.418)
Epoch: [70][7960/14090]	Time 0.742 (0.766)	Data 0.001 (0.005)	Loss 1.8462 (1.8426)	Prec@1 50.000 (51.825)	Prec@5 80.469 (81.414)
Epoch: [70][7970/14090]	Time 0.739 (0.766)	Data 0.001 (0.005)	Loss 1.8975 (1.8427)	Prec@1 48.438 (51.824)	Prec@5 79.688 (81.414)
Epoch: [70][7980/14090]	Time 0.733 (0.766)	Data 0.001 (0.005)	Loss 1.4267 (1.8427)	Prec@1 60.938 (51.824)	Prec@5 89.844 (81.415)
Epoch: [70][7990/14090]	Time 0.838 (0.766)	Data 0.001 (0.005)	Loss 1.8271 (1.8427)	Prec@1 50.000 (51.824)	Prec@5 84.375 (81.413)
Epoch: [70][8000/14090]	Time 0.740 (0.766)	Data 0.001 (0.005)	Loss 2.1276 (1.8428)	Prec@1 44.531 (51.822)	Prec@5 75.000 (81.412)
Epoch: [70][8010/14090]	Time 0.746 (0.766)	Data 0.001 (0.005)	Loss 1.5484 (1.8428)	Prec@1 59.375 (51.823)	Prec@5 86.719 (81.411)
Epoch: [70][8020/14090]	Time 0.790 (0.766)	Data 0.001 (0.005)	Loss 1.8729 (1.8428)	Prec@1 46.875 (51.821)	Prec@5 80.469 (81.411)
Epoch: [70][8030/14090]	Time 0.779 (0.766)	Data 0.001 (0.005)	Loss 1.8842 (1.8429)	Prec@1 48.438 (51.818)	Prec@5 78.125 (81.411)
Epoch: [70][8040/14090]	Time 0.749 (0.766)	Data 0.001 (0.005)	Loss 1.7068 (1.8427)	Prec@1 50.781 (51.822)	Prec@5 85.938 (81.415)
Epoch: [70][8050/14090]	Time 0.777 (0.766)	Data 0.001 (0.005)	Loss 1.5564 (1.8428)	Prec@1 54.688 (51.820)	Prec@5 84.375 (81.412)
Epoch: [70][8060/14090]	Time 0.822 (0.766)	Data 0.001 (0.005)	Loss 1.8467 (1.8428)	Prec@1 57.812 (51.821)	Prec@5 78.125 (81.410)
Epoch: [70][8070/14090]	Time 0.725 (0.766)	Data 0.001 (0.005)	Loss 2.0454 (1.8428)	Prec@1 41.406 (51.821)	Prec@5 83.594 (81.412)
Epoch: [70][8080/14090]	Time 0.722 (0.766)	Data 0.003 (0.005)	Loss 2.1329 (1.8429)	Prec@1 46.094 (51.819)	Prec@5 77.344 (81.410)
Epoch: [70][8090/14090]	Time 0.751 (0.766)	Data 0.001 (0.005)	Loss 1.9747 (1.8429)	Prec@1 52.344 (51.820)	Prec@5 79.688 (81.409)
Epoch: [70][8100/14090]	Time 0.775 (0.766)	Data 0.001 (0.005)	Loss 1.7162 (1.8429)	Prec@1 50.781 (51.820)	Prec@5 87.500 (81.409)
Epoch: [70][8110/14090]	Time 0.733 (0.766)	Data 0.001 (0.005)	Loss 1.8516 (1.8428)	Prec@1 56.250 (51.822)	Prec@5 82.031 (81.410)
Epoch: [70][8120/14090]	Time 0.725 (0.766)	Data 0.001 (0.005)	Loss 1.5824 (1.8428)	Prec@1 60.938 (51.821)	Prec@5 87.500 (81.411)
Epoch: [70][8130/14090]	Time 0.890 (0.766)	Data 0.001 (0.005)	Loss 1.7526 (1.8429)	Prec@1 58.594 (51.822)	Prec@5 83.594 (81.407)
Epoch: [70][8140/14090]	Time 0.765 (0.766)	Data 0.001 (0.005)	Loss 1.7015 (1.8429)	Prec@1 49.219 (51.822)	Prec@5 82.812 (81.409)
Epoch: [70][8150/14090]	Time 0.762 (0.766)	Data 0.001 (0.005)	Loss 2.1577 (1.8430)	Prec@1 46.094 (51.820)	Prec@5 74.219 (81.406)
Epoch: [70][8160/14090]	Time 0.740 (0.766)	Data 0.001 (0.005)	Loss 1.9284 (1.8431)	Prec@1 56.250 (51.818)	Prec@5 82.812 (81.404)
Epoch: [70][8170/14090]	Time 0.730 (0.766)	Data 0.001 (0.005)	Loss 1.9541 (1.8431)	Prec@1 43.750 (51.818)	Prec@5 83.594 (81.404)
Epoch: [70][8180/14090]	Time 0.745 (0.766)	Data 0.001 (0.005)	Loss 1.8371 (1.8430)	Prec@1 59.375 (51.820)	Prec@5 80.469 (81.405)
Epoch: [70][8190/14090]	Time 0.743 (0.766)	Data 0.001 (0.005)	Loss 1.5516 (1.8430)	Prec@1 60.156 (51.823)	Prec@5 86.719 (81.404)
Epoch: [70][8200/14090]	Time 0.868 (0.766)	Data 0.001 (0.005)	Loss 2.0165 (1.8429)	Prec@1 50.000 (51.824)	Prec@5 76.562 (81.405)
Epoch: [70][8210/14090]	Time 0.739 (0.766)	Data 0.001 (0.005)	Loss 1.6962 (1.8429)	Prec@1 56.250 (51.823)	Prec@5 85.156 (81.406)
Epoch: [70][8220/14090]	Time 0.751 (0.766)	Data 0.001 (0.005)	Loss 1.6883 (1.8429)	Prec@1 58.594 (51.824)	Prec@5 84.375 (81.408)
Epoch: [70][8230/14090]	Time 0.772 (0.766)	Data 0.001 (0.005)	Loss 1.8928 (1.8429)	Prec@1 52.344 (51.825)	Prec@5 81.250 (81.409)
Epoch: [70][8240/14090]	Time 0.761 (0.766)	Data 0.001 (0.005)	Loss 1.8688 (1.8429)	Prec@1 54.688 (51.826)	Prec@5 78.906 (81.409)
Epoch: [70][8250/14090]	Time 0.787 (0.766)	Data 0.001 (0.005)	Loss 1.8788 (1.8429)	Prec@1 53.125 (51.827)	Prec@5 78.906 (81.407)
Epoch: [70][8260/14090]	Time 0.763 (0.766)	Data 0.001 (0.005)	Loss 1.5407 (1.8428)	Prec@1 57.031 (51.828)	Prec@5 84.375 (81.409)
Epoch: [70][8270/14090]	Time 0.867 (0.766)	Data 0.001 (0.005)	Loss 1.8577 (1.8429)	Prec@1 50.781 (51.826)	Prec@5 81.250 (81.408)
Epoch: [70][8280/14090]	Time 0.735 (0.766)	Data 0.001 (0.005)	Loss 1.8559 (1.8429)	Prec@1 46.875 (51.826)	Prec@5 82.812 (81.408)
Epoch: [70][8290/14090]	Time 0.736 (0.766)	Data 0.001 (0.005)	Loss 1.9687 (1.8430)	Prec@1 52.344 (51.823)	Prec@5 78.906 (81.405)
Epoch: [70][8300/14090]	Time 0.726 (0.766)	Data 0.001 (0.005)	Loss 1.6274 (1.8430)	Prec@1 53.906 (51.821)	Prec@5 85.156 (81.404)
Epoch: [70][8310/14090]	Time 0.746 (0.766)	Data 0.001 (0.005)	Loss 2.0294 (1.8430)	Prec@1 49.219 (51.822)	Prec@5 77.344 (81.404)
Epoch: [70][8320/14090]	Time 0.747 (0.766)	Data 0.001 (0.005)	Loss 1.6831 (1.8430)	Prec@1 61.719 (51.825)	Prec@5 82.812 (81.405)
Epoch: [70][8330/14090]	Time 0.733 (0.766)	Data 0.001 (0.005)	Loss 1.7653 (1.8430)	Prec@1 54.688 (51.824)	Prec@5 81.250 (81.405)
Epoch: [70][8340/14090]	Time 0.855 (0.766)	Data 0.001 (0.005)	Loss 1.7422 (1.8430)	Prec@1 54.688 (51.825)	Prec@5 80.469 (81.405)
Epoch: [70][8350/14090]	Time 0.728 (0.766)	Data 0.001 (0.005)	Loss 1.7667 (1.8430)	Prec@1 53.906 (51.823)	Prec@5 82.812 (81.404)
Epoch: [70][8360/14090]	Time 0.740 (0.766)	Data 0.001 (0.005)	Loss 1.8317 (1.8430)	Prec@1 48.438 (51.823)	Prec@5 83.594 (81.404)
Epoch: [70][8370/14090]	Time 0.735 (0.766)	Data 0.001 (0.005)	Loss 1.9360 (1.8431)	Prec@1 53.125 (51.822)	Prec@5 79.688 (81.405)
Epoch: [70][8380/14090]	Time 0.723 (0.766)	Data 0.001 (0.005)	Loss 2.0223 (1.8431)	Prec@1 42.969 (51.822)	Prec@5 81.250 (81.405)
Epoch: [70][8390/14090]	Time 0.755 (0.766)	Data 0.001 (0.005)	Loss 1.7811 (1.8431)	Prec@1 55.469 (51.822)	Prec@5 84.375 (81.405)
Epoch: [70][8400/14090]	Time 0.723 (0.766)	Data 0.001 (0.005)	Loss 2.1054 (1.8432)	Prec@1 46.094 (51.819)	Prec@5 75.781 (81.402)
Epoch: [70][8410/14090]	Time 0.857 (0.766)	Data 0.001 (0.005)	Loss 1.9541 (1.8433)	Prec@1 46.094 (51.817)	Prec@5 78.906 (81.402)
Epoch: [70][8420/14090]	Time 0.738 (0.766)	Data 0.001 (0.005)	Loss 1.8059 (1.8433)	Prec@1 50.000 (51.818)	Prec@5 78.906 (81.401)
Epoch: [70][8430/14090]	Time 0.764 (0.766)	Data 0.001 (0.005)	Loss 1.9303 (1.8433)	Prec@1 50.000 (51.816)	Prec@5 85.156 (81.402)
Epoch: [70][8440/14090]	Time 0.742 (0.766)	Data 0.001 (0.005)	Loss 1.6902 (1.8433)	Prec@1 56.250 (51.816)	Prec@5 84.375 (81.403)
Epoch: [70][8450/14090]	Time 0.750 (0.766)	Data 0.001 (0.005)	Loss 1.5931 (1.8433)	Prec@1 57.812 (51.816)	Prec@5 88.281 (81.403)
Epoch: [70][8460/14090]	Time 0.724 (0.766)	Data 0.001 (0.005)	Loss 1.9382 (1.8434)	Prec@1 53.125 (51.814)	Prec@5 77.344 (81.401)
Epoch: [70][8470/14090]	Time 0.746 (0.766)	Data 0.001 (0.005)	Loss 1.8879 (1.8434)	Prec@1 50.781 (51.813)	Prec@5 80.469 (81.401)
Epoch: [70][8480/14090]	Time 0.843 (0.766)	Data 0.001 (0.005)	Loss 2.0462 (1.8435)	Prec@1 50.000 (51.812)	Prec@5 78.125 (81.400)
Epoch: [70][8490/14090]	Time 0.743 (0.766)	Data 0.001 (0.005)	Loss 1.7889 (1.8435)	Prec@1 50.000 (51.813)	Prec@5 82.812 (81.400)
Epoch: [70][8500/14090]	Time 0.729 (0.766)	Data 0.001 (0.005)	Loss 1.9139 (1.8435)	Prec@1 51.562 (51.812)	Prec@5 79.688 (81.399)
Epoch: [70][8510/14090]	Time 0.772 (0.766)	Data 0.001 (0.005)	Loss 1.8119 (1.8435)	Prec@1 55.469 (51.814)	Prec@5 81.250 (81.400)
Epoch: [70][8520/14090]	Time 0.750 (0.766)	Data 0.001 (0.005)	Loss 2.0009 (1.8436)	Prec@1 52.344 (51.811)	Prec@5 76.562 (81.397)
Epoch: [70][8530/14090]	Time 0.748 (0.766)	Data 0.001 (0.005)	Loss 1.6211 (1.8436)	Prec@1 57.031 (51.810)	Prec@5 85.938 (81.396)
Epoch: [70][8540/14090]	Time 0.754 (0.766)	Data 0.001 (0.005)	Loss 1.8080 (1.8435)	Prec@1 53.906 (51.811)	Prec@5 80.469 (81.396)
Epoch: [70][8550/14090]	Time 0.867 (0.766)	Data 0.001 (0.005)	Loss 2.1231 (1.8435)	Prec@1 43.750 (51.810)	Prec@5 79.688 (81.397)
Epoch: [70][8560/14090]	Time 0.750 (0.766)	Data 0.001 (0.005)	Loss 1.5835 (1.8436)	Prec@1 53.906 (51.808)	Prec@5 88.281 (81.396)
Epoch: [70][8570/14090]	Time 0.757 (0.766)	Data 0.001 (0.005)	Loss 1.8039 (1.8436)	Prec@1 44.531 (51.807)	Prec@5 84.375 (81.396)
Epoch: [70][8580/14090]	Time 0.723 (0.766)	Data 0.001 (0.005)	Loss 1.8595 (1.8435)	Prec@1 53.906 (51.808)	Prec@5 77.344 (81.398)
Epoch: [70][8590/14090]	Time 0.756 (0.766)	Data 0.001 (0.005)	Loss 1.7682 (1.8435)	Prec@1 54.688 (51.807)	Prec@5 82.812 (81.398)
Epoch: [70][8600/14090]	Time 0.728 (0.766)	Data 0.001 (0.005)	Loss 2.1259 (1.8436)	Prec@1 49.219 (51.806)	Prec@5 76.562 (81.395)
Epoch: [70][8610/14090]	Time 0.769 (0.766)	Data 0.001 (0.005)	Loss 1.6704 (1.8437)	Prec@1 53.125 (51.805)	Prec@5 82.812 (81.395)
Epoch: [70][8620/14090]	Time 0.851 (0.766)	Data 0.001 (0.005)	Loss 1.6594 (1.8436)	Prec@1 54.688 (51.808)	Prec@5 85.156 (81.397)
Epoch: [70][8630/14090]	Time 0.724 (0.766)	Data 0.001 (0.005)	Loss 1.9965 (1.8437)	Prec@1 46.875 (51.807)	Prec@5 72.656 (81.396)
Epoch: [70][8640/14090]	Time 0.751 (0.766)	Data 0.001 (0.005)	Loss 1.9584 (1.8437)	Prec@1 51.562 (51.807)	Prec@5 75.781 (81.395)
Epoch: [70][8650/14090]	Time 0.737 (0.766)	Data 0.001 (0.005)	Loss 1.9830 (1.8437)	Prec@1 48.438 (51.808)	Prec@5 80.469 (81.394)
Epoch: [70][8660/14090]	Time 0.739 (0.766)	Data 0.001 (0.005)	Loss 1.8370 (1.8437)	Prec@1 50.781 (51.806)	Prec@5 80.469 (81.393)
Epoch: [70][8670/14090]	Time 0.751 (0.766)	Data 0.001 (0.005)	Loss 2.0729 (1.8437)	Prec@1 43.750 (51.805)	Prec@5 75.781 (81.392)
Epoch: [70][8680/14090]	Time 0.726 (0.766)	Data 0.001 (0.005)	Loss 1.7042 (1.8437)	Prec@1 53.906 (51.805)	Prec@5 85.156 (81.392)
Epoch: [70][8690/14090]	Time 0.833 (0.766)	Data 0.001 (0.005)	Loss 1.7355 (1.8438)	Prec@1 54.688 (51.805)	Prec@5 82.031 (81.391)
Epoch: [70][8700/14090]	Time 0.742 (0.766)	Data 0.001 (0.005)	Loss 2.0207 (1.8438)	Prec@1 47.656 (51.806)	Prec@5 75.781 (81.389)
Epoch: [70][8710/14090]	Time 0.745 (0.766)	Data 0.001 (0.004)	Loss 1.9293 (1.8437)	Prec@1 47.656 (51.805)	Prec@5 81.250 (81.390)
Epoch: [70][8720/14090]	Time 0.756 (0.766)	Data 0.001 (0.004)	Loss 2.1164 (1.8437)	Prec@1 46.875 (51.807)	Prec@5 76.562 (81.390)
Epoch: [70][8730/14090]	Time 0.770 (0.766)	Data 0.000 (0.004)	Loss 1.7707 (1.8438)	Prec@1 53.125 (51.805)	Prec@5 80.469 (81.388)
Epoch: [70][8740/14090]	Time 0.759 (0.766)	Data 0.001 (0.004)	Loss 1.8350 (1.8439)	Prec@1 54.688 (51.804)	Prec@5 82.031 (81.388)
Epoch: [70][8750/14090]	Time 0.731 (0.766)	Data 0.001 (0.004)	Loss 1.9521 (1.8439)	Prec@1 45.312 (51.804)	Prec@5 79.688 (81.387)
Epoch: [70][8760/14090]	Time 0.854 (0.766)	Data 0.001 (0.004)	Loss 2.0192 (1.8440)	Prec@1 46.875 (51.803)	Prec@5 78.906 (81.387)
Epoch: [70][8770/14090]	Time 0.759 (0.766)	Data 0.001 (0.004)	Loss 1.6289 (1.8439)	Prec@1 60.938 (51.804)	Prec@5 82.031 (81.385)
Epoch: [70][8780/14090]	Time 0.749 (0.766)	Data 0.001 (0.004)	Loss 1.7452 (1.8440)	Prec@1 50.781 (51.802)	Prec@5 82.812 (81.383)
Epoch: [70][8790/14090]	Time 0.751 (0.766)	Data 0.001 (0.004)	Loss 1.8406 (1.8440)	Prec@1 49.219 (51.801)	Prec@5 78.906 (81.383)
Epoch: [70][8800/14090]	Time 0.777 (0.766)	Data 0.001 (0.004)	Loss 2.0121 (1.8440)	Prec@1 52.344 (51.801)	Prec@5 74.219 (81.383)
Epoch: [70][8810/14090]	Time 0.757 (0.766)	Data 0.002 (0.004)	Loss 1.5830 (1.8439)	Prec@1 56.250 (51.801)	Prec@5 86.719 (81.385)
Epoch: [70][8820/14090]	Time 0.754 (0.766)	Data 0.001 (0.004)	Loss 1.7510 (1.8439)	Prec@1 56.250 (51.801)	Prec@5 85.156 (81.385)
Epoch: [70][8830/14090]	Time 0.868 (0.766)	Data 0.001 (0.004)	Loss 1.9553 (1.8440)	Prec@1 47.656 (51.799)	Prec@5 80.469 (81.383)
Epoch: [70][8840/14090]	Time 0.764 (0.766)	Data 0.001 (0.004)	Loss 1.4795 (1.8439)	Prec@1 61.719 (51.801)	Prec@5 89.062 (81.385)
Epoch: [70][8850/14090]	Time 0.752 (0.766)	Data 0.001 (0.004)	Loss 2.0030 (1.8440)	Prec@1 46.875 (51.802)	Prec@5 76.562 (81.384)
Epoch: [70][8860/14090]	Time 0.738 (0.766)	Data 0.001 (0.004)	Loss 1.7362 (1.8440)	Prec@1 50.000 (51.801)	Prec@5 82.812 (81.382)
Epoch: [70][8870/14090]	Time 0.758 (0.766)	Data 0.001 (0.004)	Loss 1.8021 (1.8441)	Prec@1 54.688 (51.801)	Prec@5 78.906 (81.381)
Epoch: [70][8880/14090]	Time 0.751 (0.766)	Data 0.001 (0.004)	Loss 1.8898 (1.8442)	Prec@1 50.000 (51.800)	Prec@5 81.250 (81.379)
Epoch: [70][8890/14090]	Time 0.761 (0.766)	Data 0.001 (0.004)	Loss 1.7848 (1.8441)	Prec@1 56.250 (51.803)	Prec@5 84.375 (81.380)
Epoch: [70][8900/14090]	Time 0.870 (0.766)	Data 0.001 (0.004)	Loss 1.6927 (1.8440)	Prec@1 51.562 (51.804)	Prec@5 79.688 (81.379)
Epoch: [70][8910/14090]	Time 0.726 (0.766)	Data 0.001 (0.004)	Loss 1.7108 (1.8439)	Prec@1 57.812 (51.807)	Prec@5 79.688 (81.381)
Epoch: [70][8920/14090]	Time 0.730 (0.766)	Data 0.001 (0.004)	Loss 1.9039 (1.8439)	Prec@1 57.031 (51.808)	Prec@5 81.250 (81.380)
Epoch: [70][8930/14090]	Time 0.771 (0.766)	Data 0.001 (0.004)	Loss 1.7136 (1.8440)	Prec@1 61.719 (51.810)	Prec@5 80.469 (81.379)
Epoch: [70][8940/14090]	Time 0.752 (0.766)	Data 0.001 (0.004)	Loss 1.7307 (1.8439)	Prec@1 50.781 (51.811)	Prec@5 82.031 (81.378)
Epoch: [70][8950/14090]	Time 0.735 (0.766)	Data 0.001 (0.004)	Loss 1.9118 (1.8439)	Prec@1 51.562 (51.813)	Prec@5 80.469 (81.380)
Epoch: [70][8960/14090]	Time 0.761 (0.766)	Data 0.001 (0.004)	Loss 1.6472 (1.8437)	Prec@1 57.812 (51.816)	Prec@5 83.594 (81.382)
Epoch: [70][8970/14090]	Time 0.861 (0.766)	Data 0.001 (0.004)	Loss 1.7264 (1.8438)	Prec@1 50.781 (51.815)	Prec@5 85.938 (81.382)
Epoch: [70][8980/14090]	Time 0.743 (0.766)	Data 0.001 (0.004)	Loss 1.8703 (1.8438)	Prec@1 51.562 (51.815)	Prec@5 78.906 (81.383)
Epoch: [70][8990/14090]	Time 0.757 (0.766)	Data 0.001 (0.004)	Loss 1.9654 (1.8438)	Prec@1 49.219 (51.814)	Prec@5 82.031 (81.382)
Epoch: [70][9000/14090]	Time 0.722 (0.766)	Data 0.001 (0.004)	Loss 1.7154 (1.8438)	Prec@1 57.031 (51.815)	Prec@5 80.469 (81.384)
Epoch: [70][9010/14090]	Time 0.732 (0.766)	Data 0.001 (0.004)	Loss 1.8180 (1.8438)	Prec@1 57.031 (51.814)	Prec@5 82.031 (81.384)
Epoch: [70][9020/14090]	Time 0.764 (0.766)	Data 0.001 (0.004)	Loss 2.0314 (1.8438)	Prec@1 43.750 (51.815)	Prec@5 78.906 (81.384)
Epoch: [70][9030/14090]	Time 0.763 (0.766)	Data 0.001 (0.004)	Loss 2.0728 (1.8438)	Prec@1 48.438 (51.815)	Prec@5 79.688 (81.384)
Epoch: [70][9040/14090]	Time 0.855 (0.766)	Data 0.001 (0.004)	Loss 1.8521 (1.8439)	Prec@1 55.469 (51.815)	Prec@5 81.250 (81.383)
Epoch: [70][9050/14090]	Time 0.726 (0.765)	Data 0.001 (0.004)	Loss 1.8160 (1.8439)	Prec@1 53.125 (51.813)	Prec@5 82.812 (81.384)
Epoch: [70][9060/14090]	Time 0.759 (0.765)	Data 0.001 (0.004)	Loss 1.7442 (1.8439)	Prec@1 51.562 (51.810)	Prec@5 79.688 (81.383)
Epoch: [70][9070/14090]	Time 0.760 (0.765)	Data 0.001 (0.004)	Loss 1.9222 (1.8439)	Prec@1 50.781 (51.810)	Prec@5 76.562 (81.382)
Epoch: [70][9080/14090]	Time 0.728 (0.765)	Data 0.001 (0.004)	Loss 1.8100 (1.8439)	Prec@1 53.906 (51.811)	Prec@5 84.375 (81.382)
Epoch: [70][9090/14090]	Time 0.752 (0.765)	Data 0.001 (0.004)	Loss 1.6594 (1.8439)	Prec@1 63.281 (51.811)	Prec@5 86.719 (81.383)
Epoch: [70][9100/14090]	Time 0.750 (0.765)	Data 0.001 (0.004)	Loss 1.9319 (1.8439)	Prec@1 49.219 (51.811)	Prec@5 79.688 (81.384)
Epoch: [70][9110/14090]	Time 0.843 (0.765)	Data 0.002 (0.004)	Loss 1.9485 (1.8439)	Prec@1 49.219 (51.808)	Prec@5 80.469 (81.383)
Epoch: [70][9120/14090]	Time 0.742 (0.765)	Data 0.001 (0.004)	Loss 1.7097 (1.8439)	Prec@1 55.469 (51.806)	Prec@5 88.281 (81.383)
Epoch: [70][9130/14090]	Time 0.745 (0.765)	Data 0.001 (0.004)	Loss 1.9097 (1.8439)	Prec@1 49.219 (51.805)	Prec@5 80.469 (81.383)
Epoch: [70][9140/14090]	Time 0.755 (0.765)	Data 0.001 (0.004)	Loss 1.9985 (1.8439)	Prec@1 48.438 (51.806)	Prec@5 77.344 (81.385)
Epoch: [70][9150/14090]	Time 0.768 (0.765)	Data 0.001 (0.004)	Loss 1.8841 (1.8440)	Prec@1 48.438 (51.806)	Prec@5 80.469 (81.384)
Epoch: [70][9160/14090]	Time 0.729 (0.765)	Data 0.001 (0.004)	Loss 1.8705 (1.8440)	Prec@1 57.031 (51.805)	Prec@5 80.469 (81.384)
Epoch: [70][9170/14090]	Time 0.728 (0.765)	Data 0.001 (0.004)	Loss 1.7211 (1.8440)	Prec@1 51.562 (51.806)	Prec@5 78.906 (81.383)
Epoch: [70][9180/14090]	Time 0.870 (0.765)	Data 0.001 (0.004)	Loss 1.7587 (1.8440)	Prec@1 55.469 (51.806)	Prec@5 80.469 (81.384)
Epoch: [70][9190/14090]	Time 0.734 (0.765)	Data 0.001 (0.004)	Loss 1.9026 (1.8440)	Prec@1 46.094 (51.805)	Prec@5 85.156 (81.384)
Epoch: [70][9200/14090]	Time 0.737 (0.765)	Data 0.001 (0.004)	Loss 2.0219 (1.8440)	Prec@1 46.094 (51.802)	Prec@5 78.906 (81.383)
Epoch: [70][9210/14090]	Time 0.757 (0.765)	Data 0.001 (0.004)	Loss 1.8372 (1.8440)	Prec@1 53.125 (51.803)	Prec@5 75.781 (81.383)
Epoch: [70][9220/14090]	Time 0.738 (0.765)	Data 0.001 (0.004)	Loss 2.0239 (1.8440)	Prec@1 54.688 (51.804)	Prec@5 78.906 (81.382)
Epoch: [70][9230/14090]	Time 0.756 (0.765)	Data 0.001 (0.004)	Loss 1.6145 (1.8440)	Prec@1 57.812 (51.807)	Prec@5 85.156 (81.382)
Epoch: [70][9240/14090]	Time 0.743 (0.765)	Data 0.001 (0.004)	Loss 1.9412 (1.8439)	Prec@1 47.656 (51.807)	Prec@5 78.125 (81.382)
Epoch: [70][9250/14090]	Time 0.846 (0.765)	Data 0.001 (0.004)	Loss 1.7580 (1.8440)	Prec@1 57.031 (51.808)	Prec@5 82.031 (81.381)
Epoch: [70][9260/14090]	Time 0.718 (0.765)	Data 0.001 (0.004)	Loss 1.6458 (1.8440)	Prec@1 55.469 (51.808)	Prec@5 87.500 (81.382)
Epoch: [70][9270/14090]	Time 0.782 (0.765)	Data 0.001 (0.004)	Loss 1.6868 (1.8439)	Prec@1 57.031 (51.808)	Prec@5 87.500 (81.384)
Epoch: [70][9280/14090]	Time 0.743 (0.765)	Data 0.001 (0.004)	Loss 1.6763 (1.8438)	Prec@1 61.719 (51.809)	Prec@5 84.375 (81.385)
Epoch: [70][9290/14090]	Time 0.764 (0.765)	Data 0.001 (0.004)	Loss 1.6291 (1.8438)	Prec@1 58.594 (51.810)	Prec@5 81.250 (81.385)
Epoch: [70][9300/14090]	Time 0.737 (0.765)	Data 0.001 (0.004)	Loss 1.8298 (1.8437)	Prec@1 57.031 (51.813)	Prec@5 79.688 (81.386)
Epoch: [70][9310/14090]	Time 0.765 (0.765)	Data 0.001 (0.004)	Loss 2.0079 (1.8438)	Prec@1 47.656 (51.812)	Prec@5 78.906 (81.385)
Epoch: [70][9320/14090]	Time 0.870 (0.765)	Data 0.001 (0.004)	Loss 1.9045 (1.8437)	Prec@1 43.750 (51.812)	Prec@5 86.719 (81.386)
Epoch: [70][9330/14090]	Time 0.742 (0.765)	Data 0.001 (0.004)	Loss 1.8003 (1.8436)	Prec@1 47.656 (51.813)	Prec@5 81.250 (81.388)
Epoch: [70][9340/14090]	Time 0.758 (0.765)	Data 0.001 (0.004)	Loss 1.7393 (1.8436)	Prec@1 53.125 (51.814)	Prec@5 82.031 (81.388)
Epoch: [70][9350/14090]	Time 0.736 (0.765)	Data 0.001 (0.004)	Loss 2.0584 (1.8437)	Prec@1 48.438 (51.813)	Prec@5 76.562 (81.386)
Epoch: [70][9360/14090]	Time 0.741 (0.765)	Data 0.001 (0.004)	Loss 1.8476 (1.8437)	Prec@1 50.781 (51.811)	Prec@5 85.156 (81.386)
Epoch: [70][9370/14090]	Time 0.752 (0.765)	Data 0.001 (0.004)	Loss 2.2222 (1.8437)	Prec@1 44.531 (51.812)	Prec@5 73.438 (81.385)
Epoch: [70][9380/14090]	Time 0.755 (0.765)	Data 0.001 (0.004)	Loss 1.8144 (1.8437)	Prec@1 50.000 (51.812)	Prec@5 83.594 (81.386)
Epoch: [70][9390/14090]	Time 0.867 (0.765)	Data 0.001 (0.004)	Loss 1.9217 (1.8437)	Prec@1 53.125 (51.811)	Prec@5 82.812 (81.386)
Epoch: [70][9400/14090]	Time 0.743 (0.765)	Data 0.001 (0.004)	Loss 1.8085 (1.8437)	Prec@1 48.438 (51.811)	Prec@5 82.812 (81.388)
Epoch: [70][9410/14090]	Time 0.741 (0.765)	Data 0.001 (0.004)	Loss 1.9433 (1.8436)	Prec@1 42.188 (51.812)	Prec@5 78.125 (81.389)
Epoch: [70][9420/14090]	Time 0.735 (0.765)	Data 0.001 (0.004)	Loss 1.9691 (1.8436)	Prec@1 49.219 (51.812)	Prec@5 81.250 (81.388)
Epoch: [70][9430/14090]	Time 0.776 (0.765)	Data 0.001 (0.004)	Loss 1.7908 (1.8437)	Prec@1 48.438 (51.810)	Prec@5 82.812 (81.387)
Epoch: [70][9440/14090]	Time 0.730 (0.765)	Data 0.001 (0.004)	Loss 2.0082 (1.8437)	Prec@1 50.781 (51.811)	Prec@5 77.344 (81.387)
Epoch: [70][9450/14090]	Time 0.740 (0.765)	Data 0.001 (0.004)	Loss 1.7626 (1.8438)	Prec@1 50.781 (51.809)	Prec@5 85.156 (81.387)
Epoch: [70][9460/14090]	Time 0.842 (0.765)	Data 0.001 (0.004)	Loss 1.9025 (1.8438)	Prec@1 56.250 (51.810)	Prec@5 78.906 (81.386)
Epoch: [70][9470/14090]	Time 0.741 (0.765)	Data 0.001 (0.004)	Loss 1.9575 (1.8437)	Prec@1 49.219 (51.810)	Prec@5 78.906 (81.387)
Epoch: [70][9480/14090]	Time 0.750 (0.765)	Data 0.001 (0.004)	Loss 1.4958 (1.8437)	Prec@1 60.938 (51.811)	Prec@5 87.500 (81.388)
Epoch: [70][9490/14090]	Time 0.776 (0.765)	Data 0.001 (0.004)	Loss 1.7808 (1.8437)	Prec@1 53.906 (51.810)	Prec@5 82.812 (81.388)
Epoch: [70][9500/14090]	Time 0.725 (0.765)	Data 0.001 (0.004)	Loss 1.7399 (1.8437)	Prec@1 53.125 (51.809)	Prec@5 81.250 (81.388)
Epoch: [70][9510/14090]	Time 0.756 (0.765)	Data 0.001 (0.004)	Loss 1.7811 (1.8437)	Prec@1 52.344 (51.810)	Prec@5 81.250 (81.389)
Epoch: [70][9520/14090]	Time 0.749 (0.765)	Data 0.001 (0.004)	Loss 1.9819 (1.8437)	Prec@1 47.656 (51.810)	Prec@5 76.562 (81.389)
Epoch: [70][9530/14090]	Time 0.839 (0.765)	Data 0.001 (0.004)	Loss 1.7324 (1.8437)	Prec@1 54.688 (51.812)	Prec@5 82.031 (81.388)
Epoch: [70][9540/14090]	Time 0.735 (0.765)	Data 0.001 (0.004)	Loss 1.9309 (1.8438)	Prec@1 50.000 (51.809)	Prec@5 81.250 (81.386)
Epoch: [70][9550/14090]	Time 0.760 (0.765)	Data 0.001 (0.004)	Loss 2.0075 (1.8438)	Prec@1 49.219 (51.810)	Prec@5 77.344 (81.386)
Epoch: [70][9560/14090]	Time 0.738 (0.765)	Data 0.001 (0.004)	Loss 1.5810 (1.8437)	Prec@1 55.469 (51.812)	Prec@5 85.156 (81.387)
Epoch: [70][9570/14090]	Time 0.750 (0.765)	Data 0.001 (0.004)	Loss 1.8781 (1.8438)	Prec@1 51.562 (51.811)	Prec@5 82.031 (81.385)
Epoch: [70][9580/14090]	Time 0.752 (0.765)	Data 0.001 (0.004)	Loss 2.0144 (1.8438)	Prec@1 47.656 (51.811)	Prec@5 78.125 (81.386)
Epoch: [70][9590/14090]	Time 0.722 (0.765)	Data 0.001 (0.004)	Loss 1.8005 (1.8438)	Prec@1 58.594 (51.810)	Prec@5 82.812 (81.384)
Epoch: [70][9600/14090]	Time 0.844 (0.765)	Data 0.001 (0.004)	Loss 1.8160 (1.8438)	Prec@1 58.594 (51.810)	Prec@5 83.594 (81.384)
Epoch: [70][9610/14090]	Time 0.734 (0.765)	Data 0.001 (0.004)	Loss 1.8785 (1.8438)	Prec@1 48.438 (51.811)	Prec@5 78.906 (81.384)
Epoch: [70][9620/14090]	Time 0.759 (0.765)	Data 0.001 (0.004)	Loss 1.9596 (1.8439)	Prec@1 45.312 (51.809)	Prec@5 78.906 (81.383)
Epoch: [70][9630/14090]	Time 0.732 (0.765)	Data 0.001 (0.004)	Loss 1.8376 (1.8439)	Prec@1 53.906 (51.811)	Prec@5 82.812 (81.384)
Epoch: [70][9640/14090]	Time 0.734 (0.765)	Data 0.001 (0.004)	Loss 2.1173 (1.8440)	Prec@1 46.875 (51.808)	Prec@5 77.344 (81.383)
Epoch: [70][9650/14090]	Time 0.758 (0.765)	Data 0.001 (0.004)	Loss 1.7476 (1.8438)	Prec@1 49.219 (51.810)	Prec@5 83.594 (81.386)
Epoch: [70][9660/14090]	Time 0.739 (0.765)	Data 0.001 (0.004)	Loss 1.8058 (1.8438)	Prec@1 44.531 (51.811)	Prec@5 80.469 (81.386)
Epoch: [70][9670/14090]	Time 0.874 (0.765)	Data 0.001 (0.004)	Loss 1.5556 (1.8438)	Prec@1 61.719 (51.812)	Prec@5 85.938 (81.386)
Epoch: [70][9680/14090]	Time 0.720 (0.765)	Data 0.001 (0.004)	Loss 1.9191 (1.8438)	Prec@1 51.562 (51.813)	Prec@5 82.031 (81.386)
Epoch: [70][9690/14090]	Time 0.758 (0.765)	Data 0.001 (0.004)	Loss 1.9659 (1.8438)	Prec@1 48.438 (51.815)	Prec@5 76.562 (81.386)
Epoch: [70][9700/14090]	Time 0.723 (0.765)	Data 0.001 (0.004)	Loss 1.9573 (1.8438)	Prec@1 47.656 (51.815)	Prec@5 82.031 (81.385)
Epoch: [70][9710/14090]	Time 0.734 (0.765)	Data 0.001 (0.004)	Loss 1.8062 (1.8438)	Prec@1 56.250 (51.814)	Prec@5 82.031 (81.383)
Epoch: [70][9720/14090]	Time 0.762 (0.765)	Data 0.001 (0.004)	Loss 1.7265 (1.8438)	Prec@1 53.906 (51.814)	Prec@5 82.031 (81.383)
Epoch: [70][9730/14090]	Time 0.746 (0.765)	Data 0.001 (0.004)	Loss 1.8576 (1.8438)	Prec@1 53.125 (51.812)	Prec@5 83.594 (81.382)
Epoch: [70][9740/14090]	Time 0.897 (0.765)	Data 0.001 (0.004)	Loss 1.7967 (1.8438)	Prec@1 53.125 (51.812)	Prec@5 85.156 (81.382)
Epoch: [70][9750/14090]	Time 0.770 (0.765)	Data 0.001 (0.004)	Loss 1.6753 (1.8437)	Prec@1 52.344 (51.814)	Prec@5 82.031 (81.383)
Epoch: [70][9760/14090]	Time 0.726 (0.765)	Data 0.001 (0.004)	Loss 1.8300 (1.8437)	Prec@1 48.438 (51.814)	Prec@5 87.500 (81.384)
Epoch: [70][9770/14090]	Time 0.782 (0.765)	Data 0.001 (0.004)	Loss 1.8224 (1.8437)	Prec@1 51.562 (51.814)	Prec@5 85.156 (81.384)
Epoch: [70][9780/14090]	Time 0.718 (0.765)	Data 0.001 (0.004)	Loss 1.6976 (1.8436)	Prec@1 57.812 (51.814)	Prec@5 83.594 (81.385)
Epoch: [70][9790/14090]	Time 0.730 (0.765)	Data 0.001 (0.004)	Loss 1.9432 (1.8437)	Prec@1 41.406 (51.813)	Prec@5 80.469 (81.383)
Epoch: [70][9800/14090]	Time 0.752 (0.765)	Data 0.001 (0.004)	Loss 2.1251 (1.8436)	Prec@1 46.094 (51.816)	Prec@5 77.344 (81.387)
Epoch: [70][9810/14090]	Time 0.835 (0.765)	Data 0.001 (0.004)	Loss 1.8958 (1.8436)	Prec@1 50.781 (51.814)	Prec@5 80.469 (81.386)
Epoch: [70][9820/14090]	Time 0.743 (0.765)	Data 0.001 (0.004)	Loss 1.9877 (1.8436)	Prec@1 49.219 (51.816)	Prec@5 77.344 (81.386)
Epoch: [70][9830/14090]	Time 0.725 (0.765)	Data 0.001 (0.004)	Loss 1.9385 (1.8437)	Prec@1 43.750 (51.813)	Prec@5 82.031 (81.384)
Epoch: [70][9840/14090]	Time 0.748 (0.765)	Data 0.001 (0.004)	Loss 1.9636 (1.8438)	Prec@1 43.750 (51.811)	Prec@5 77.344 (81.383)
Epoch: [70][9850/14090]	Time 0.752 (0.765)	Data 0.001 (0.004)	Loss 1.6026 (1.8437)	Prec@1 56.250 (51.812)	Prec@5 83.594 (81.384)
Epoch: [70][9860/14090]	Time 0.741 (0.765)	Data 0.000 (0.004)	Loss 2.0556 (1.8437)	Prec@1 47.656 (51.811)	Prec@5 75.000 (81.383)
Epoch: [70][9870/14090]	Time 0.740 (0.765)	Data 0.001 (0.004)	Loss 2.0475 (1.8438)	Prec@1 42.188 (51.809)	Prec@5 79.688 (81.382)
Epoch: [70][9880/14090]	Time 0.886 (0.765)	Data 0.001 (0.004)	Loss 1.9344 (1.8438)	Prec@1 51.562 (51.809)	Prec@5 77.344 (81.382)
Epoch: [70][9890/14090]	Time 0.734 (0.765)	Data 0.001 (0.004)	Loss 1.8941 (1.8438)	Prec@1 48.438 (51.807)	Prec@5 80.469 (81.381)
Epoch: [70][9900/14090]	Time 0.722 (0.765)	Data 0.001 (0.004)	Loss 1.9465 (1.8439)	Prec@1 46.875 (51.807)	Prec@5 82.812 (81.378)
Epoch: [70][9910/14090]	Time 0.729 (0.765)	Data 0.001 (0.004)	Loss 1.6661 (1.8440)	Prec@1 56.250 (51.805)	Prec@5 82.812 (81.377)
Epoch: [70][9920/14090]	Time 0.731 (0.765)	Data 0.001 (0.004)	Loss 1.6810 (1.8439)	Prec@1 57.031 (51.808)	Prec@5 84.375 (81.377)
Epoch: [70][9930/14090]	Time 0.758 (0.765)	Data 0.001 (0.004)	Loss 1.7946 (1.8438)	Prec@1 49.219 (51.809)	Prec@5 82.031 (81.377)
Epoch: [70][9940/14090]	Time 0.730 (0.765)	Data 0.001 (0.004)	Loss 1.8627 (1.8439)	Prec@1 51.562 (51.807)	Prec@5 83.594 (81.377)
Epoch: [70][9950/14090]	Time 0.860 (0.765)	Data 0.001 (0.004)	Loss 2.0104 (1.8440)	Prec@1 50.000 (51.805)	Prec@5 82.031 (81.376)
Epoch: [70][9960/14090]	Time 0.762 (0.765)	Data 0.001 (0.004)	Loss 2.1482 (1.8438)	Prec@1 43.750 (51.806)	Prec@5 79.688 (81.378)
Epoch: [70][9970/14090]	Time 0.779 (0.765)	Data 0.001 (0.004)	Loss 1.7889 (1.8438)	Prec@1 54.688 (51.806)	Prec@5 84.375 (81.377)
Epoch: [70][9980/14090]	Time 0.716 (0.765)	Data 0.001 (0.004)	Loss 1.9256 (1.8439)	Prec@1 52.344 (51.806)	Prec@5 78.125 (81.376)
Epoch: [70][9990/14090]	Time 0.743 (0.765)	Data 0.001 (0.004)	Loss 1.8685 (1.8439)	Prec@1 52.344 (51.806)	Prec@5 82.031 (81.376)
Epoch: [70][10000/14090]	Time 0.758 (0.765)	Data 0.001 (0.004)	Loss 1.8084 (1.8438)	Prec@1 53.125 (51.807)	Prec@5 78.125 (81.378)
Epoch: [70][10010/14090]	Time 0.739 (0.765)	Data 0.001 (0.004)	Loss 1.8883 (1.8438)	Prec@1 47.656 (51.808)	Prec@5 82.031 (81.377)
Epoch: [70][10020/14090]	Time 0.895 (0.765)	Data 0.001 (0.004)	Loss 2.0284 (1.8439)	Prec@1 47.656 (51.806)	Prec@5 78.125 (81.374)
Epoch: [70][10030/14090]	Time 0.725 (0.765)	Data 0.001 (0.004)	Loss 1.5160 (1.8439)	Prec@1 59.375 (51.805)	Prec@5 85.938 (81.374)
Epoch: [70][10040/14090]	Time 0.725 (0.765)	Data 0.001 (0.004)	Loss 2.0396 (1.8439)	Prec@1 45.312 (51.803)	Prec@5 76.562 (81.373)
Epoch: [70][10050/14090]	Time 0.765 (0.765)	Data 0.001 (0.004)	Loss 1.6078 (1.8438)	Prec@1 50.000 (51.803)	Prec@5 84.375 (81.375)
Epoch: [70][10060/14090]	Time 0.725 (0.765)	Data 0.001 (0.004)	Loss 1.9702 (1.8438)	Prec@1 46.094 (51.803)	Prec@5 78.125 (81.375)
Epoch: [70][10070/14090]	Time 0.728 (0.765)	Data 0.001 (0.004)	Loss 1.6875 (1.8438)	Prec@1 48.438 (51.801)	Prec@5 84.375 (81.374)
Epoch: [70][10080/14090]	Time 0.726 (0.765)	Data 0.001 (0.004)	Loss 1.9235 (1.8439)	Prec@1 53.125 (51.800)	Prec@5 80.469 (81.373)
Epoch: [70][10090/14090]	Time 0.859 (0.765)	Data 0.001 (0.004)	Loss 1.8151 (1.8439)	Prec@1 50.000 (51.799)	Prec@5 82.031 (81.374)
Epoch: [70][10100/14090]	Time 0.756 (0.765)	Data 0.001 (0.004)	Loss 1.8224 (1.8439)	Prec@1 46.875 (51.798)	Prec@5 80.469 (81.374)
Epoch: [70][10110/14090]	Time 0.761 (0.765)	Data 0.001 (0.004)	Loss 1.6223 (1.8440)	Prec@1 56.250 (51.799)	Prec@5 88.281 (81.374)
Epoch: [70][10120/14090]	Time 0.745 (0.765)	Data 0.001 (0.004)	Loss 1.8860 (1.8440)	Prec@1 55.469 (51.800)	Prec@5 82.031 (81.374)
Epoch: [70][10130/14090]	Time 0.750 (0.765)	Data 0.001 (0.004)	Loss 1.7842 (1.8440)	Prec@1 50.781 (51.800)	Prec@5 80.469 (81.373)
Epoch: [70][10140/14090]	Time 0.747 (0.765)	Data 0.001 (0.004)	Loss 2.1460 (1.8439)	Prec@1 51.562 (51.800)	Prec@5 71.875 (81.374)
Epoch: [70][10150/14090]	Time 0.764 (0.765)	Data 0.001 (0.004)	Loss 1.6876 (1.8440)	Prec@1 60.938 (51.801)	Prec@5 81.250 (81.373)
Epoch: [70][10160/14090]	Time 0.869 (0.765)	Data 0.001 (0.004)	Loss 1.7380 (1.8439)	Prec@1 53.125 (51.802)	Prec@5 85.156 (81.375)
Epoch: [70][10170/14090]	Time 0.734 (0.765)	Data 0.001 (0.004)	Loss 1.7407 (1.8439)	Prec@1 57.812 (51.803)	Prec@5 79.688 (81.374)
Epoch: [70][10180/14090]	Time 0.741 (0.765)	Data 0.001 (0.004)	Loss 1.5470 (1.8438)	Prec@1 60.938 (51.806)	Prec@5 89.062 (81.376)
Epoch: [70][10190/14090]	Time 0.767 (0.765)	Data 0.001 (0.004)	Loss 2.1205 (1.8439)	Prec@1 49.219 (51.806)	Prec@5 75.000 (81.375)
Epoch: [70][10200/14090]	Time 0.735 (0.765)	Data 0.001 (0.004)	Loss 2.0229 (1.8438)	Prec@1 43.750 (51.809)	Prec@5 78.125 (81.376)
Epoch: [70][10210/14090]	Time 0.734 (0.765)	Data 0.001 (0.004)	Loss 1.9474 (1.8438)	Prec@1 53.125 (51.809)	Prec@5 82.031 (81.375)
Epoch: [70][10220/14090]	Time 0.755 (0.765)	Data 0.001 (0.004)	Loss 2.0284 (1.8439)	Prec@1 41.406 (51.807)	Prec@5 81.250 (81.375)
Epoch: [70][10230/14090]	Time 0.880 (0.765)	Data 0.001 (0.004)	Loss 1.7422 (1.8438)	Prec@1 54.688 (51.808)	Prec@5 84.375 (81.375)
Epoch: [70][10240/14090]	Time 0.736 (0.765)	Data 0.001 (0.004)	Loss 1.9194 (1.8439)	Prec@1 48.438 (51.807)	Prec@5 77.344 (81.373)
Epoch: [70][10250/14090]	Time 0.769 (0.765)	Data 0.001 (0.004)	Loss 1.8823 (1.8439)	Prec@1 53.125 (51.806)	Prec@5 78.125 (81.373)
Epoch: [70][10260/14090]	Time 0.733 (0.765)	Data 0.001 (0.004)	Loss 2.2031 (1.8439)	Prec@1 42.188 (51.804)	Prec@5 75.000 (81.373)
Epoch: [70][10270/14090]	Time 0.720 (0.765)	Data 0.001 (0.004)	Loss 1.6440 (1.8439)	Prec@1 60.938 (51.806)	Prec@5 86.719 (81.373)
Epoch: [70][10280/14090]	Time 0.749 (0.765)	Data 0.001 (0.004)	Loss 1.9468 (1.8440)	Prec@1 44.531 (51.803)	Prec@5 82.031 (81.372)
Epoch: [70][10290/14090]	Time 0.766 (0.765)	Data 0.001 (0.004)	Loss 1.6630 (1.8440)	Prec@1 53.125 (51.801)	Prec@5 83.594 (81.371)
Epoch: [70][10300/14090]	Time 0.912 (0.765)	Data 0.001 (0.004)	Loss 2.0087 (1.8440)	Prec@1 52.344 (51.800)	Prec@5 78.906 (81.369)
Epoch: [70][10310/14090]	Time 0.724 (0.765)	Data 0.001 (0.004)	Loss 1.8370 (1.8440)	Prec@1 52.344 (51.802)	Prec@5 83.594 (81.371)
Epoch: [70][10320/14090]	Time 0.792 (0.765)	Data 0.001 (0.004)	Loss 1.8892 (1.8441)	Prec@1 48.438 (51.801)	Prec@5 75.781 (81.369)
Epoch: [70][10330/14090]	Time 0.722 (0.765)	Data 0.001 (0.004)	Loss 2.0092 (1.8441)	Prec@1 46.875 (51.800)	Prec@5 82.812 (81.368)
Epoch: [70][10340/14090]	Time 0.720 (0.765)	Data 0.000 (0.004)	Loss 1.9097 (1.8441)	Prec@1 49.219 (51.801)	Prec@5 81.250 (81.367)
Epoch: [70][10350/14090]	Time 0.753 (0.765)	Data 0.001 (0.004)	Loss 1.8711 (1.8441)	Prec@1 50.781 (51.800)	Prec@5 79.688 (81.367)
Epoch: [70][10360/14090]	Time 0.786 (0.765)	Data 0.001 (0.004)	Loss 1.8254 (1.8441)	Prec@1 56.250 (51.801)	Prec@5 81.250 (81.366)
Epoch: [70][10370/14090]	Time 0.928 (0.765)	Data 0.001 (0.004)	Loss 1.7561 (1.8441)	Prec@1 56.250 (51.802)	Prec@5 84.375 (81.366)
Epoch: [70][10380/14090]	Time 0.733 (0.765)	Data 0.001 (0.004)	Loss 2.0088 (1.8442)	Prec@1 48.438 (51.799)	Prec@5 80.469 (81.365)
Epoch: [70][10390/14090]	Time 0.740 (0.765)	Data 0.001 (0.004)	Loss 1.7107 (1.8442)	Prec@1 53.125 (51.799)	Prec@5 87.500 (81.366)
Epoch: [70][10400/14090]	Time 0.759 (0.765)	Data 0.001 (0.004)	Loss 1.6883 (1.8441)	Prec@1 60.156 (51.801)	Prec@5 85.156 (81.368)
Epoch: [70][10410/14090]	Time 0.752 (0.765)	Data 0.001 (0.004)	Loss 1.8871 (1.8440)	Prec@1 52.344 (51.802)	Prec@5 81.250 (81.369)
Epoch: [70][10420/14090]	Time 0.764 (0.765)	Data 0.001 (0.004)	Loss 2.0352 (1.8441)	Prec@1 50.781 (51.801)	Prec@5 75.781 (81.368)
Epoch: [70][10430/14090]	Time 0.770 (0.765)	Data 0.001 (0.004)	Loss 1.6713 (1.8441)	Prec@1 53.125 (51.799)	Prec@5 85.938 (81.368)
Epoch: [70][10440/14090]	Time 0.858 (0.765)	Data 0.001 (0.004)	Loss 2.0731 (1.8441)	Prec@1 50.781 (51.799)	Prec@5 76.562 (81.367)
Epoch: [70][10450/14090]	Time 0.754 (0.765)	Data 0.001 (0.004)	Loss 1.9216 (1.8441)	Prec@1 49.219 (51.799)	Prec@5 82.031 (81.368)
Epoch: [70][10460/14090]	Time 0.767 (0.765)	Data 0.001 (0.004)	Loss 1.9671 (1.8441)	Prec@1 48.438 (51.800)	Prec@5 80.469 (81.369)
Epoch: [70][10470/14090]	Time 0.736 (0.765)	Data 0.001 (0.004)	Loss 1.6310 (1.8441)	Prec@1 57.812 (51.802)	Prec@5 85.938 (81.369)
Epoch: [70][10480/14090]	Time 0.726 (0.765)	Data 0.001 (0.004)	Loss 1.6210 (1.8441)	Prec@1 60.156 (51.802)	Prec@5 84.375 (81.369)
Epoch: [70][10490/14090]	Time 0.757 (0.765)	Data 0.001 (0.004)	Loss 1.8020 (1.8441)	Prec@1 50.000 (51.801)	Prec@5 83.594 (81.368)
Epoch: [70][10500/14090]	Time 0.769 (0.765)	Data 0.001 (0.004)	Loss 1.7016 (1.8442)	Prec@1 52.344 (51.800)	Prec@5 82.031 (81.368)
Epoch: [70][10510/14090]	Time 0.837 (0.765)	Data 0.001 (0.004)	Loss 2.0053 (1.8442)	Prec@1 54.688 (51.799)	Prec@5 78.125 (81.366)
Epoch: [70][10520/14090]	Time 0.760 (0.765)	Data 0.001 (0.004)	Loss 2.0661 (1.8443)	Prec@1 40.625 (51.797)	Prec@5 78.906 (81.365)
Epoch: [70][10530/14090]	Time 0.734 (0.765)	Data 0.001 (0.004)	Loss 1.7237 (1.8443)	Prec@1 50.000 (51.796)	Prec@5 82.812 (81.364)
Epoch: [70][10540/14090]	Time 0.759 (0.765)	Data 0.001 (0.004)	Loss 1.9953 (1.8444)	Prec@1 50.000 (51.794)	Prec@5 75.781 (81.364)
Epoch: [70][10550/14090]	Time 0.732 (0.765)	Data 0.001 (0.004)	Loss 2.1006 (1.8444)	Prec@1 41.406 (51.794)	Prec@5 75.000 (81.364)
Epoch: [70][10560/14090]	Time 0.749 (0.765)	Data 0.001 (0.004)	Loss 1.7628 (1.8444)	Prec@1 52.344 (51.793)	Prec@5 83.594 (81.364)
Epoch: [70][10570/14090]	Time 0.730 (0.765)	Data 0.001 (0.004)	Loss 1.8605 (1.8444)	Prec@1 47.656 (51.793)	Prec@5 81.250 (81.364)
Epoch: [70][10580/14090]	Time 0.875 (0.765)	Data 0.001 (0.004)	Loss 1.8322 (1.8445)	Prec@1 50.000 (51.791)	Prec@5 78.906 (81.363)
Epoch: [70][10590/14090]	Time 0.748 (0.765)	Data 0.001 (0.004)	Loss 1.8359 (1.8445)	Prec@1 50.000 (51.792)	Prec@5 82.031 (81.363)
Epoch: [70][10600/14090]	Time 0.766 (0.765)	Data 0.001 (0.004)	Loss 1.9258 (1.8444)	Prec@1 48.438 (51.793)	Prec@5 81.250 (81.364)
Epoch: [70][10610/14090]	Time 0.733 (0.765)	Data 0.001 (0.004)	Loss 1.7630 (1.8444)	Prec@1 52.344 (51.792)	Prec@5 85.938 (81.363)
Epoch: [70][10620/14090]	Time 0.729 (0.765)	Data 0.001 (0.004)	Loss 1.7419 (1.8444)	Prec@1 53.906 (51.792)	Prec@5 84.375 (81.364)
Epoch: [70][10630/14090]	Time 0.761 (0.765)	Data 0.001 (0.004)	Loss 1.7964 (1.8443)	Prec@1 53.125 (51.792)	Prec@5 80.469 (81.364)
Epoch: [70][10640/14090]	Time 0.743 (0.765)	Data 0.001 (0.004)	Loss 1.8523 (1.8443)	Prec@1 52.344 (51.791)	Prec@5 81.250 (81.365)
Epoch: [70][10650/14090]	Time 0.862 (0.765)	Data 0.001 (0.004)	Loss 1.7136 (1.8443)	Prec@1 53.906 (51.789)	Prec@5 80.469 (81.365)
Epoch: [70][10660/14090]	Time 0.729 (0.765)	Data 0.001 (0.004)	Loss 1.8301 (1.8444)	Prec@1 51.562 (51.789)	Prec@5 79.688 (81.365)
Epoch: [70][10670/14090]	Time 0.770 (0.765)	Data 0.001 (0.004)	Loss 1.9236 (1.8443)	Prec@1 48.438 (51.791)	Prec@5 78.125 (81.365)
Epoch: [70][10680/14090]	Time 0.744 (0.765)	Data 0.001 (0.004)	Loss 1.7766 (1.8443)	Prec@1 56.250 (51.791)	Prec@5 82.812 (81.365)
Epoch: [70][10690/14090]	Time 0.742 (0.765)	Data 0.001 (0.004)	Loss 1.8238 (1.8443)	Prec@1 50.000 (51.791)	Prec@5 78.906 (81.365)
Epoch: [70][10700/14090]	Time 0.741 (0.765)	Data 0.001 (0.004)	Loss 1.8374 (1.8442)	Prec@1 52.344 (51.792)	Prec@5 78.906 (81.366)
Epoch: [70][10710/14090]	Time 0.777 (0.765)	Data 0.001 (0.004)	Loss 1.9544 (1.8443)	Prec@1 48.438 (51.790)	Prec@5 78.906 (81.365)
Epoch: [70][10720/14090]	Time 0.842 (0.765)	Data 0.001 (0.004)	Loss 1.6580 (1.8442)	Prec@1 55.469 (51.792)	Prec@5 83.594 (81.365)
Epoch: [70][10730/14090]	Time 0.733 (0.765)	Data 0.001 (0.004)	Loss 1.9725 (1.8442)	Prec@1 49.219 (51.792)	Prec@5 81.250 (81.365)
Epoch: [70][10740/14090]	Time 0.749 (0.765)	Data 0.001 (0.004)	Loss 1.8119 (1.8442)	Prec@1 54.688 (51.796)	Prec@5 80.469 (81.366)
Epoch: [70][10750/14090]	Time 0.768 (0.765)	Data 0.001 (0.004)	Loss 1.9305 (1.8441)	Prec@1 50.000 (51.797)	Prec@5 78.906 (81.366)
Epoch: [70][10760/14090]	Time 0.726 (0.765)	Data 0.001 (0.004)	Loss 1.7590 (1.8442)	Prec@1 50.000 (51.797)	Prec@5 79.688 (81.366)
Epoch: [70][10770/14090]	Time 0.753 (0.765)	Data 0.001 (0.004)	Loss 1.5686 (1.8442)	Prec@1 57.812 (51.796)	Prec@5 85.938 (81.364)
Epoch: [70][10780/14090]	Time 0.753 (0.765)	Data 0.001 (0.004)	Loss 1.9829 (1.8442)	Prec@1 51.562 (51.797)	Prec@5 76.562 (81.364)
Epoch: [70][10790/14090]	Time 0.806 (0.765)	Data 0.001 (0.004)	Loss 1.9532 (1.8443)	Prec@1 44.531 (51.797)	Prec@5 80.469 (81.364)
Epoch: [70][10800/14090]	Time 0.738 (0.765)	Data 0.001 (0.004)	Loss 1.9117 (1.8443)	Prec@1 50.000 (51.796)	Prec@5 79.688 (81.362)
Epoch: [70][10810/14090]	Time 0.738 (0.765)	Data 0.001 (0.004)	Loss 1.9589 (1.8443)	Prec@1 46.875 (51.796)	Prec@5 76.562 (81.362)
Epoch: [70][10820/14090]	Time 0.726 (0.765)	Data 0.001 (0.004)	Loss 1.8991 (1.8443)	Prec@1 51.562 (51.796)	Prec@5 79.688 (81.362)
Epoch: [70][10830/14090]	Time 0.752 (0.765)	Data 0.001 (0.004)	Loss 1.8104 (1.8444)	Prec@1 52.344 (51.795)	Prec@5 82.031 (81.360)
Epoch: [70][10840/14090]	Time 0.731 (0.765)	Data 0.001 (0.004)	Loss 1.7775 (1.8443)	Prec@1 51.562 (51.795)	Prec@5 82.031 (81.362)
Epoch: [70][10850/14090]	Time 0.762 (0.765)	Data 0.001 (0.004)	Loss 1.9416 (1.8443)	Prec@1 47.656 (51.796)	Prec@5 82.031 (81.363)
Epoch: [70][10860/14090]	Time 0.815 (0.765)	Data 0.001 (0.004)	Loss 1.9347 (1.8443)	Prec@1 50.781 (51.797)	Prec@5 82.812 (81.364)
Epoch: [70][10870/14090]	Time 0.743 (0.765)	Data 0.001 (0.004)	Loss 2.0300 (1.8443)	Prec@1 50.000 (51.797)	Prec@5 76.562 (81.365)
Epoch: [70][10880/14090]	Time 0.725 (0.765)	Data 0.001 (0.004)	Loss 2.1104 (1.8443)	Prec@1 46.094 (51.796)	Prec@5 77.344 (81.365)
Epoch: [70][10890/14090]	Time 0.723 (0.765)	Data 0.001 (0.004)	Loss 1.8054 (1.8443)	Prec@1 55.469 (51.797)	Prec@5 82.031 (81.365)
Epoch: [70][10900/14090]	Time 0.749 (0.765)	Data 0.001 (0.004)	Loss 2.1510 (1.8444)	Prec@1 47.656 (51.796)	Prec@5 76.562 (81.366)
Epoch: [70][10910/14090]	Time 0.725 (0.765)	Data 0.001 (0.004)	Loss 1.8200 (1.8443)	Prec@1 53.906 (51.797)	Prec@5 78.906 (81.367)
Epoch: [70][10920/14090]	Time 0.744 (0.765)	Data 0.001 (0.004)	Loss 1.5396 (1.8443)	Prec@1 66.406 (51.799)	Prec@5 85.156 (81.367)
Epoch: [70][10930/14090]	Time 0.864 (0.765)	Data 0.001 (0.004)	Loss 2.2111 (1.8443)	Prec@1 46.094 (51.799)	Prec@5 76.562 (81.367)
Epoch: [70][10940/14090]	Time 0.763 (0.765)	Data 0.001 (0.004)	Loss 1.6100 (1.8443)	Prec@1 53.906 (51.798)	Prec@5 85.156 (81.367)
Epoch: [70][10950/14090]	Time 0.720 (0.765)	Data 0.001 (0.004)	Loss 1.9571 (1.8443)	Prec@1 49.219 (51.797)	Prec@5 78.906 (81.367)
Epoch: [70][10960/14090]	Time 0.754 (0.765)	Data 0.001 (0.004)	Loss 1.9249 (1.8443)	Prec@1 47.656 (51.798)	Prec@5 79.688 (81.366)
Epoch: [70][10970/14090]	Time 0.765 (0.765)	Data 0.001 (0.004)	Loss 1.9197 (1.8443)	Prec@1 56.250 (51.801)	Prec@5 82.031 (81.366)
Epoch: [70][10980/14090]	Time 0.754 (0.765)	Data 0.001 (0.004)	Loss 2.0433 (1.8443)	Prec@1 42.188 (51.800)	Prec@5 78.906 (81.366)
Epoch: [70][10990/14090]	Time 0.732 (0.765)	Data 0.001 (0.004)	Loss 2.0091 (1.8442)	Prec@1 50.781 (51.801)	Prec@5 78.125 (81.367)
Epoch: [70][11000/14090]	Time 0.849 (0.765)	Data 0.001 (0.004)	Loss 1.7573 (1.8442)	Prec@1 50.000 (51.800)	Prec@5 84.375 (81.368)
Epoch: [70][11010/14090]	Time 0.753 (0.765)	Data 0.001 (0.004)	Loss 1.9338 (1.8442)	Prec@1 51.562 (51.801)	Prec@5 78.125 (81.369)
Epoch: [70][11020/14090]	Time 0.766 (0.765)	Data 0.001 (0.004)	Loss 1.5123 (1.8442)	Prec@1 56.250 (51.802)	Prec@5 89.062 (81.369)
Epoch: [70][11030/14090]	Time 0.736 (0.765)	Data 0.001 (0.004)	Loss 1.8423 (1.8442)	Prec@1 42.969 (51.801)	Prec@5 83.594 (81.370)
Epoch: [70][11040/14090]	Time 0.719 (0.765)	Data 0.001 (0.004)	Loss 1.3722 (1.8442)	Prec@1 60.156 (51.800)	Prec@5 90.625 (81.369)
Epoch: [70][11050/14090]	Time 0.756 (0.765)	Data 0.001 (0.004)	Loss 2.2797 (1.8443)	Prec@1 37.500 (51.799)	Prec@5 78.906 (81.368)
Epoch: [70][11060/14090]	Time 0.719 (0.765)	Data 0.001 (0.004)	Loss 1.7252 (1.8443)	Prec@1 48.438 (51.797)	Prec@5 85.156 (81.367)
Epoch: [70][11070/14090]	Time 0.877 (0.765)	Data 0.001 (0.004)	Loss 2.3339 (1.8444)	Prec@1 41.406 (51.796)	Prec@5 71.094 (81.367)
Epoch: [70][11080/14090]	Time 0.726 (0.765)	Data 0.001 (0.004)	Loss 1.6982 (1.8444)	Prec@1 56.250 (51.794)	Prec@5 82.812 (81.366)
Epoch: [70][11090/14090]	Time 0.744 (0.765)	Data 0.001 (0.004)	Loss 1.9269 (1.8444)	Prec@1 46.875 (51.792)	Prec@5 82.031 (81.366)
Epoch: [70][11100/14090]	Time 0.730 (0.765)	Data 0.001 (0.004)	Loss 1.9229 (1.8445)	Prec@1 46.875 (51.791)	Prec@5 81.250 (81.366)
Epoch: [70][11110/14090]	Time 0.734 (0.765)	Data 0.001 (0.004)	Loss 1.7743 (1.8445)	Prec@1 51.562 (51.791)	Prec@5 82.812 (81.367)
Epoch: [70][11120/14090]	Time 0.739 (0.765)	Data 0.001 (0.004)	Loss 2.0834 (1.8445)	Prec@1 48.438 (51.790)	Prec@5 78.906 (81.367)
Epoch: [70][11130/14090]	Time 0.744 (0.765)	Data 0.001 (0.004)	Loss 1.9304 (1.8445)	Prec@1 48.438 (51.790)	Prec@5 85.156 (81.368)
Epoch: [70][11140/14090]	Time 0.874 (0.765)	Data 0.001 (0.004)	Loss 1.7918 (1.8445)	Prec@1 57.031 (51.791)	Prec@5 82.031 (81.367)
Epoch: [70][11150/14090]	Time 0.746 (0.765)	Data 0.001 (0.004)	Loss 1.7988 (1.8444)	Prec@1 57.812 (51.791)	Prec@5 82.031 (81.368)
Epoch: [70][11160/14090]	Time 0.729 (0.765)	Data 0.001 (0.004)	Loss 1.9854 (1.8444)	Prec@1 52.344 (51.791)	Prec@5 78.125 (81.368)
Epoch: [70][11170/14090]	Time 0.760 (0.765)	Data 0.001 (0.004)	Loss 1.6778 (1.8445)	Prec@1 60.938 (51.791)	Prec@5 82.812 (81.367)
Epoch: [70][11180/14090]	Time 0.744 (0.765)	Data 0.001 (0.004)	Loss 1.8567 (1.8444)	Prec@1 50.000 (51.791)	Prec@5 83.594 (81.370)
Epoch: [70][11190/14090]	Time 0.736 (0.765)	Data 0.001 (0.004)	Loss 1.9238 (1.8444)	Prec@1 54.688 (51.791)	Prec@5 79.688 (81.369)
Epoch: [70][11200/14090]	Time 0.718 (0.765)	Data 0.000 (0.004)	Loss 1.7854 (1.8444)	Prec@1 56.250 (51.791)	Prec@5 82.812 (81.368)
Epoch: [70][11210/14090]	Time 0.873 (0.765)	Data 0.001 (0.004)	Loss 1.7087 (1.8444)	Prec@1 54.688 (51.791)	Prec@5 82.812 (81.367)
Epoch: [70][11220/14090]	Time 0.776 (0.765)	Data 0.001 (0.004)	Loss 1.7763 (1.8444)	Prec@1 53.906 (51.791)	Prec@5 84.375 (81.367)
Epoch: [70][11230/14090]	Time 0.780 (0.765)	Data 0.001 (0.004)	Loss 1.7419 (1.8444)	Prec@1 50.781 (51.791)	Prec@5 85.156 (81.367)
Epoch: [70][11240/14090]	Time 0.724 (0.765)	Data 0.001 (0.004)	Loss 2.1240 (1.8444)	Prec@1 48.438 (51.789)	Prec@5 75.000 (81.367)
Epoch: [70][11250/14090]	Time 0.748 (0.765)	Data 0.001 (0.004)	Loss 1.9650 (1.8445)	Prec@1 46.094 (51.785)	Prec@5 81.250 (81.366)
Epoch: [70][11260/14090]	Time 0.753 (0.765)	Data 0.001 (0.004)	Loss 2.0019 (1.8445)	Prec@1 46.875 (51.785)	Prec@5 80.469 (81.366)
Epoch: [70][11270/14090]	Time 0.742 (0.765)	Data 0.001 (0.004)	Loss 1.8940 (1.8444)	Prec@1 49.219 (51.788)	Prec@5 81.250 (81.367)
Epoch: [70][11280/14090]	Time 0.875 (0.765)	Data 0.001 (0.004)	Loss 1.9303 (1.8444)	Prec@1 44.531 (51.788)	Prec@5 79.688 (81.367)
Epoch: [70][11290/14090]	Time 0.738 (0.765)	Data 0.001 (0.004)	Loss 1.9186 (1.8445)	Prec@1 50.781 (51.787)	Prec@5 81.250 (81.368)
Epoch: [70][11300/14090]	Time 0.757 (0.765)	Data 0.001 (0.004)	Loss 1.9843 (1.8445)	Prec@1 50.000 (51.788)	Prec@5 81.250 (81.367)
Epoch: [70][11310/14090]	Time 0.764 (0.765)	Data 0.001 (0.004)	Loss 1.9020 (1.8445)	Prec@1 42.969 (51.788)	Prec@5 81.250 (81.367)
Epoch: [70][11320/14090]	Time 0.741 (0.765)	Data 0.001 (0.004)	Loss 2.0562 (1.8446)	Prec@1 46.875 (51.785)	Prec@5 75.000 (81.365)
Epoch: [70][11330/14090]	Time 0.756 (0.765)	Data 0.001 (0.004)	Loss 1.9375 (1.8446)	Prec@1 50.000 (51.784)	Prec@5 80.469 (81.365)
Epoch: [70][11340/14090]	Time 0.722 (0.765)	Data 0.001 (0.004)	Loss 1.3967 (1.8446)	Prec@1 58.594 (51.784)	Prec@5 92.188 (81.366)
Epoch: [70][11350/14090]	Time 0.858 (0.765)	Data 0.001 (0.004)	Loss 1.7129 (1.8446)	Prec@1 51.562 (51.783)	Prec@5 82.812 (81.366)
Epoch: [70][11360/14090]	Time 0.751 (0.765)	Data 0.001 (0.004)	Loss 1.5898 (1.8447)	Prec@1 57.031 (51.782)	Prec@5 88.281 (81.365)
Epoch: [70][11370/14090]	Time 0.764 (0.765)	Data 0.001 (0.004)	Loss 1.8827 (1.8447)	Prec@1 49.219 (51.782)	Prec@5 77.344 (81.365)
Epoch: [70][11380/14090]	Time 0.740 (0.765)	Data 0.001 (0.004)	Loss 1.6894 (1.8446)	Prec@1 58.594 (51.783)	Prec@5 83.594 (81.365)
Epoch: [70][11390/14090]	Time 0.741 (0.765)	Data 0.001 (0.004)	Loss 2.3153 (1.8447)	Prec@1 44.531 (51.782)	Prec@5 75.000 (81.365)
Epoch: [70][11400/14090]	Time 0.749 (0.765)	Data 0.001 (0.004)	Loss 1.8502 (1.8446)	Prec@1 54.688 (51.782)	Prec@5 82.812 (81.367)
Epoch: [70][11410/14090]	Time 0.724 (0.765)	Data 0.001 (0.004)	Loss 1.9931 (1.8447)	Prec@1 50.781 (51.782)	Prec@5 79.688 (81.366)
Epoch: [70][11420/14090]	Time 0.858 (0.765)	Data 0.001 (0.004)	Loss 1.5631 (1.8446)	Prec@1 55.469 (51.782)	Prec@5 88.281 (81.367)
Epoch: [70][11430/14090]	Time 0.746 (0.765)	Data 0.000 (0.004)	Loss 1.9951 (1.8447)	Prec@1 50.000 (51.782)	Prec@5 75.781 (81.366)
Epoch: [70][11440/14090]	Time 0.736 (0.765)	Data 0.001 (0.004)	Loss 1.9230 (1.8446)	Prec@1 54.688 (51.783)	Prec@5 75.000 (81.366)
Epoch: [70][11450/14090]	Time 0.725 (0.765)	Data 0.001 (0.004)	Loss 1.9797 (1.8446)	Prec@1 45.312 (51.783)	Prec@5 78.125 (81.366)
Epoch: [70][11460/14090]	Time 0.745 (0.765)	Data 0.001 (0.004)	Loss 1.6832 (1.8445)	Prec@1 51.562 (51.784)	Prec@5 81.250 (81.367)
Epoch: [70][11470/14090]	Time 1.755 (0.765)	Data 1.033 (0.004)	Loss 2.0723 (1.8446)	Prec@1 50.781 (51.783)	Prec@5 77.344 (81.367)
Epoch: [70][11480/14090]	Time 0.725 (0.765)	Data 0.001 (0.004)	Loss 1.9772 (1.8446)	Prec@1 51.562 (51.784)	Prec@5 78.125 (81.366)
Epoch: [70][11490/14090]	Time 0.862 (0.765)	Data 0.001 (0.004)	Loss 1.5740 (1.8445)	Prec@1 55.469 (51.786)	Prec@5 82.812 (81.367)
Epoch: [70][11500/14090]	Time 0.771 (0.765)	Data 0.001 (0.004)	Loss 2.0550 (1.8444)	Prec@1 48.438 (51.786)	Prec@5 75.000 (81.368)
Epoch: [70][11510/14090]	Time 0.754 (0.765)	Data 0.001 (0.004)	Loss 1.9374 (1.8445)	Prec@1 53.125 (51.784)	Prec@5 80.469 (81.366)
Epoch: [70][11520/14090]	Time 0.734 (0.765)	Data 0.001 (0.004)	Loss 1.8418 (1.8445)	Prec@1 53.906 (51.786)	Prec@5 78.906 (81.366)
Epoch: [70][11530/14090]	Time 0.728 (0.765)	Data 0.001 (0.004)	Loss 1.5108 (1.8445)	Prec@1 57.031 (51.787)	Prec@5 85.938 (81.367)
Epoch: [70][11540/14090]	Time 0.752 (0.765)	Data 0.001 (0.004)	Loss 1.8143 (1.8445)	Prec@1 53.125 (51.786)	Prec@5 81.250 (81.367)
Epoch: [70][11550/14090]	Time 0.776 (0.765)	Data 0.001 (0.004)	Loss 1.8267 (1.8446)	Prec@1 53.906 (51.785)	Prec@5 82.031 (81.365)
Epoch: [70][11560/14090]	Time 0.876 (0.765)	Data 0.001 (0.004)	Loss 1.8925 (1.8446)	Prec@1 45.312 (51.784)	Prec@5 78.906 (81.364)
Epoch: [70][11570/14090]	Time 0.738 (0.765)	Data 0.001 (0.004)	Loss 1.7006 (1.8446)	Prec@1 54.688 (51.784)	Prec@5 83.594 (81.365)
Epoch: [70][11580/14090]	Time 0.776 (0.765)	Data 0.001 (0.004)	Loss 2.0259 (1.8445)	Prec@1 47.656 (51.786)	Prec@5 81.250 (81.367)
Epoch: [70][11590/14090]	Time 0.752 (0.765)	Data 0.001 (0.004)	Loss 1.7222 (1.8444)	Prec@1 54.688 (51.788)	Prec@5 85.938 (81.367)
Epoch: [70][11600/14090]	Time 0.723 (0.765)	Data 0.001 (0.004)	Loss 2.1911 (1.8445)	Prec@1 38.281 (51.787)	Prec@5 75.781 (81.368)
Epoch: [70][11610/14090]	Time 0.740 (0.765)	Data 0.001 (0.004)	Loss 1.6120 (1.8445)	Prec@1 51.562 (51.787)	Prec@5 85.156 (81.368)
Epoch: [70][11620/14090]	Time 0.748 (0.765)	Data 0.001 (0.004)	Loss 1.9932 (1.8445)	Prec@1 46.875 (51.787)	Prec@5 80.469 (81.367)
Epoch: [70][11630/14090]	Time 0.851 (0.765)	Data 0.001 (0.004)	Loss 2.0998 (1.8445)	Prec@1 48.438 (51.785)	Prec@5 77.344 (81.366)
Epoch: [70][11640/14090]	Time 0.733 (0.765)	Data 0.001 (0.004)	Loss 1.7633 (1.8445)	Prec@1 53.906 (51.786)	Prec@5 83.594 (81.366)
Epoch: [70][11650/14090]	Time 0.781 (0.765)	Data 0.001 (0.004)	Loss 1.7260 (1.8444)	Prec@1 50.781 (51.788)	Prec@5 82.812 (81.367)
Epoch: [70][11660/14090]	Time 0.728 (0.765)	Data 0.001 (0.004)	Loss 1.9452 (1.8444)	Prec@1 45.312 (51.788)	Prec@5 82.812 (81.367)
Epoch: [70][11670/14090]	Time 0.730 (0.765)	Data 0.001 (0.004)	Loss 1.9540 (1.8445)	Prec@1 49.219 (51.786)	Prec@5 79.688 (81.366)
Epoch: [70][11680/14090]	Time 0.788 (0.765)	Data 0.001 (0.004)	Loss 1.8510 (1.8445)	Prec@1 51.562 (51.785)	Prec@5 83.594 (81.366)
Epoch: [70][11690/14090]	Time 0.741 (0.765)	Data 0.001 (0.004)	Loss 1.8667 (1.8445)	Prec@1 47.656 (51.785)	Prec@5 81.250 (81.366)
Epoch: [70][11700/14090]	Time 0.868 (0.765)	Data 0.001 (0.004)	Loss 1.9319 (1.8445)	Prec@1 53.906 (51.788)	Prec@5 79.688 (81.366)
Epoch: [70][11710/14090]	Time 0.736 (0.765)	Data 0.001 (0.004)	Loss 1.8409 (1.8445)	Prec@1 49.219 (51.788)	Prec@5 80.469 (81.366)
Epoch: [70][11720/14090]	Time 0.740 (0.765)	Data 0.001 (0.004)	Loss 1.8871 (1.8445)	Prec@1 50.781 (51.788)	Prec@5 77.344 (81.365)
Epoch: [70][11730/14090]	Time 0.754 (0.765)	Data 0.001 (0.004)	Loss 1.9242 (1.8446)	Prec@1 55.469 (51.787)	Prec@5 80.469 (81.365)
Epoch: [70][11740/14090]	Time 0.733 (0.765)	Data 0.001 (0.004)	Loss 1.9262 (1.8447)	Prec@1 42.969 (51.786)	Prec@5 82.031 (81.364)
Epoch: [70][11750/14090]	Time 0.741 (0.765)	Data 0.001 (0.004)	Loss 1.8481 (1.8447)	Prec@1 46.094 (51.785)	Prec@5 78.906 (81.365)
Epoch: [70][11760/14090]	Time 0.750 (0.765)	Data 0.001 (0.004)	Loss 2.0991 (1.8447)	Prec@1 52.344 (51.785)	Prec@5 75.000 (81.364)
Epoch: [70][11770/14090]	Time 0.870 (0.765)	Data 0.001 (0.004)	Loss 1.8898 (1.8447)	Prec@1 56.250 (51.786)	Prec@5 77.344 (81.365)
Epoch: [70][11780/14090]	Time 0.733 (0.765)	Data 0.001 (0.004)	Loss 1.5955 (1.8447)	Prec@1 58.594 (51.787)	Prec@5 82.812 (81.365)
Epoch: [70][11790/14090]	Time 0.755 (0.765)	Data 0.001 (0.004)	Loss 1.8330 (1.8447)	Prec@1 56.250 (51.787)	Prec@5 78.906 (81.363)
Epoch: [70][11800/14090]	Time 0.736 (0.765)	Data 0.001 (0.004)	Loss 1.8052 (1.8447)	Prec@1 51.562 (51.786)	Prec@5 85.156 (81.364)
Epoch: [70][11810/14090]	Time 0.741 (0.765)	Data 0.001 (0.004)	Loss 1.8937 (1.8447)	Prec@1 47.656 (51.786)	Prec@5 77.344 (81.364)
Epoch: [70][11820/14090]	Time 0.750 (0.765)	Data 0.001 (0.004)	Loss 1.7604 (1.8446)	Prec@1 54.688 (51.787)	Prec@5 82.812 (81.364)
Epoch: [70][11830/14090]	Time 0.756 (0.765)	Data 0.001 (0.004)	Loss 1.9928 (1.8447)	Prec@1 43.750 (51.786)	Prec@5 76.562 (81.363)
Epoch: [70][11840/14090]	Time 0.826 (0.765)	Data 0.001 (0.004)	Loss 1.7159 (1.8448)	Prec@1 52.344 (51.784)	Prec@5 85.938 (81.362)
Epoch: [70][11850/14090]	Time 0.737 (0.765)	Data 0.001 (0.004)	Loss 1.8831 (1.8448)	Prec@1 53.125 (51.784)	Prec@5 81.250 (81.363)
Epoch: [70][11860/14090]	Time 0.737 (0.765)	Data 0.001 (0.004)	Loss 1.7418 (1.8448)	Prec@1 52.344 (51.786)	Prec@5 83.594 (81.363)
Epoch: [70][11870/14090]	Time 0.746 (0.765)	Data 0.001 (0.004)	Loss 1.9062 (1.8447)	Prec@1 49.219 (51.786)	Prec@5 79.688 (81.363)
Epoch: [70][11880/14090]	Time 0.735 (0.765)	Data 0.001 (0.004)	Loss 1.9153 (1.8448)	Prec@1 51.562 (51.781)	Prec@5 79.688 (81.361)
Epoch: [70][11890/14090]	Time 0.759 (0.765)	Data 0.001 (0.004)	Loss 1.7896 (1.8449)	Prec@1 51.562 (51.782)	Prec@5 82.812 (81.362)
Epoch: [70][11900/14090]	Time 0.744 (0.765)	Data 0.001 (0.004)	Loss 2.0871 (1.8449)	Prec@1 44.531 (51.781)	Prec@5 82.031 (81.361)
Epoch: [70][11910/14090]	Time 0.837 (0.765)	Data 0.001 (0.004)	Loss 2.1553 (1.8450)	Prec@1 45.312 (51.779)	Prec@5 74.219 (81.360)
Epoch: [70][11920/14090]	Time 0.786 (0.765)	Data 0.001 (0.004)	Loss 1.8985 (1.8451)	Prec@1 52.344 (51.778)	Prec@5 80.469 (81.359)
Epoch: [70][11930/14090]	Time 0.721 (0.765)	Data 0.001 (0.004)	Loss 1.8649 (1.8450)	Prec@1 50.781 (51.780)	Prec@5 82.812 (81.359)
Epoch: [70][11940/14090]	Time 0.756 (0.765)	Data 0.001 (0.004)	Loss 1.8452 (1.8450)	Prec@1 48.438 (51.781)	Prec@5 78.906 (81.360)
Epoch: [70][11950/14090]	Time 0.759 (0.765)	Data 0.001 (0.004)	Loss 1.9604 (1.8451)	Prec@1 42.188 (51.779)	Prec@5 77.344 (81.359)
Epoch: [70][11960/14090]	Time 0.750 (0.765)	Data 0.001 (0.004)	Loss 2.0979 (1.8451)	Prec@1 49.219 (51.778)	Prec@5 73.438 (81.359)
Epoch: [70][11970/14090]	Time 0.778 (0.765)	Data 0.001 (0.004)	Loss 2.0503 (1.8451)	Prec@1 42.188 (51.778)	Prec@5 78.125 (81.360)
Epoch: [70][11980/14090]	Time 0.847 (0.765)	Data 0.001 (0.004)	Loss 1.7404 (1.8451)	Prec@1 53.906 (51.778)	Prec@5 84.375 (81.359)
Epoch: [70][11990/14090]	Time 0.757 (0.765)	Data 0.001 (0.004)	Loss 1.7966 (1.8451)	Prec@1 53.125 (51.778)	Prec@5 81.250 (81.359)
Epoch: [70][12000/14090]	Time 0.749 (0.765)	Data 0.001 (0.004)	Loss 1.9089 (1.8452)	Prec@1 45.312 (51.775)	Prec@5 82.812 (81.359)
Epoch: [70][12010/14090]	Time 0.745 (0.765)	Data 0.001 (0.004)	Loss 1.8720 (1.8452)	Prec@1 47.656 (51.776)	Prec@5 85.156 (81.359)
Epoch: [70][12020/14090]	Time 0.757 (0.765)	Data 0.001 (0.004)	Loss 1.8848 (1.8452)	Prec@1 50.781 (51.775)	Prec@5 82.812 (81.359)
Epoch: [70][12030/14090]	Time 0.731 (0.765)	Data 0.001 (0.004)	Loss 1.6700 (1.8452)	Prec@1 55.469 (51.774)	Prec@5 81.250 (81.357)
Epoch: [70][12040/14090]	Time 0.720 (0.765)	Data 0.001 (0.004)	Loss 1.8590 (1.8452)	Prec@1 45.312 (51.774)	Prec@5 83.594 (81.359)
Epoch: [70][12050/14090]	Time 0.871 (0.765)	Data 0.001 (0.004)	Loss 1.9892 (1.8451)	Prec@1 49.219 (51.775)	Prec@5 77.344 (81.359)
Epoch: [70][12060/14090]	Time 0.745 (0.765)	Data 0.001 (0.004)	Loss 1.7359 (1.8451)	Prec@1 57.031 (51.774)	Prec@5 80.469 (81.359)
Epoch: [70][12070/14090]	Time 0.747 (0.765)	Data 0.001 (0.004)	Loss 1.8355 (1.8451)	Prec@1 50.781 (51.774)	Prec@5 82.031 (81.359)
Epoch: [70][12080/14090]	Time 0.771 (0.765)	Data 0.001 (0.004)	Loss 1.6488 (1.8451)	Prec@1 53.125 (51.772)	Prec@5 86.719 (81.360)
Epoch: [70][12090/14090]	Time 0.722 (0.765)	Data 0.001 (0.004)	Loss 1.7398 (1.8452)	Prec@1 53.906 (51.769)	Prec@5 83.594 (81.360)
Epoch: [70][12100/14090]	Time 0.737 (0.765)	Data 0.000 (0.004)	Loss 1.7774 (1.8452)	Prec@1 53.906 (51.770)	Prec@5 81.250 (81.360)
Epoch: [70][12110/14090]	Time 0.756 (0.765)	Data 0.001 (0.004)	Loss 2.0136 (1.8453)	Prec@1 45.312 (51.769)	Prec@5 77.344 (81.359)
Epoch: [70][12120/14090]	Time 0.882 (0.765)	Data 0.001 (0.004)	Loss 1.9290 (1.8453)	Prec@1 47.656 (51.769)	Prec@5 81.250 (81.359)
Epoch: [70][12130/14090]	Time 0.753 (0.765)	Data 0.001 (0.004)	Loss 1.8577 (1.8453)	Prec@1 53.125 (51.768)	Prec@5 76.562 (81.358)
Epoch: [70][12140/14090]	Time 0.764 (0.765)	Data 0.001 (0.004)	Loss 1.9997 (1.8453)	Prec@1 47.656 (51.769)	Prec@5 78.125 (81.358)
Epoch: [70][12150/14090]	Time 0.743 (0.765)	Data 0.001 (0.004)	Loss 1.8584 (1.8453)	Prec@1 51.562 (51.768)	Prec@5 78.906 (81.358)
Epoch: [70][12160/14090]	Time 0.738 (0.765)	Data 0.001 (0.004)	Loss 1.7466 (1.8452)	Prec@1 52.344 (51.769)	Prec@5 82.812 (81.359)
Epoch: [70][12170/14090]	Time 0.761 (0.765)	Data 0.001 (0.004)	Loss 2.0203 (1.8452)	Prec@1 50.781 (51.767)	Prec@5 75.781 (81.358)
Epoch: [70][12180/14090]	Time 0.740 (0.765)	Data 0.001 (0.004)	Loss 1.5296 (1.8453)	Prec@1 59.375 (51.766)	Prec@5 88.281 (81.359)
Epoch: [70][12190/14090]	Time 0.871 (0.765)	Data 0.001 (0.004)	Loss 1.6617 (1.8452)	Prec@1 60.938 (51.766)	Prec@5 85.938 (81.358)
Epoch: [70][12200/14090]	Time 0.742 (0.765)	Data 0.001 (0.004)	Loss 1.8535 (1.8452)	Prec@1 56.250 (51.766)	Prec@5 79.688 (81.357)
Epoch: [70][12210/14090]	Time 0.768 (0.765)	Data 0.001 (0.004)	Loss 1.6996 (1.8452)	Prec@1 52.344 (51.767)	Prec@5 85.156 (81.359)
Epoch: [70][12220/14090]	Time 0.739 (0.765)	Data 0.001 (0.004)	Loss 1.7674 (1.8452)	Prec@1 53.125 (51.766)	Prec@5 82.031 (81.358)
Epoch: [70][12230/14090]	Time 0.729 (0.765)	Data 0.001 (0.004)	Loss 1.8439 (1.8451)	Prec@1 45.312 (51.767)	Prec@5 80.469 (81.358)
Epoch: [70][12240/14090]	Time 0.757 (0.765)	Data 0.001 (0.004)	Loss 1.6976 (1.8451)	Prec@1 57.031 (51.769)	Prec@5 83.594 (81.359)
Epoch: [70][12250/14090]	Time 0.734 (0.765)	Data 0.001 (0.004)	Loss 2.1374 (1.8451)	Prec@1 44.531 (51.770)	Prec@5 76.562 (81.358)
Epoch: [70][12260/14090]	Time 0.834 (0.765)	Data 0.001 (0.004)	Loss 2.0630 (1.8451)	Prec@1 46.094 (51.769)	Prec@5 78.125 (81.358)
Epoch: [70][12270/14090]	Time 0.720 (0.765)	Data 0.001 (0.004)	Loss 2.1368 (1.8451)	Prec@1 40.625 (51.769)	Prec@5 75.781 (81.358)
Epoch: [70][12280/14090]	Time 0.750 (0.765)	Data 0.001 (0.004)	Loss 1.8977 (1.8451)	Prec@1 49.219 (51.769)	Prec@5 81.250 (81.358)
Epoch: [70][12290/14090]	Time 0.732 (0.765)	Data 0.001 (0.004)	Loss 2.1445 (1.8451)	Prec@1 43.750 (51.767)	Prec@5 75.781 (81.358)
Epoch: [70][12300/14090]	Time 0.744 (0.765)	Data 0.001 (0.004)	Loss 1.8528 (1.8451)	Prec@1 48.438 (51.767)	Prec@5 76.562 (81.358)
Epoch: [70][12310/14090]	Time 0.756 (0.765)	Data 0.001 (0.004)	Loss 2.1761 (1.8452)	Prec@1 46.875 (51.765)	Prec@5 78.125 (81.356)
Epoch: [70][12320/14090]	Time 0.783 (0.765)	Data 0.001 (0.004)	Loss 1.7733 (1.8453)	Prec@1 59.375 (51.763)	Prec@5 81.250 (81.354)
Epoch: [70][12330/14090]	Time 0.869 (0.765)	Data 0.001 (0.004)	Loss 1.8768 (1.8454)	Prec@1 53.906 (51.761)	Prec@5 82.812 (81.353)
Epoch: [70][12340/14090]	Time 0.728 (0.765)	Data 0.001 (0.004)	Loss 1.8929 (1.8455)	Prec@1 52.344 (51.759)	Prec@5 82.812 (81.351)
Epoch: [70][12350/14090]	Time 0.735 (0.765)	Data 0.001 (0.004)	Loss 1.8549 (1.8454)	Prec@1 53.906 (51.760)	Prec@5 85.156 (81.351)
Epoch: [70][12360/14090]	Time 0.728 (0.765)	Data 0.001 (0.004)	Loss 1.9666 (1.8454)	Prec@1 50.000 (51.759)	Prec@5 78.125 (81.350)
Epoch: [70][12370/14090]	Time 0.737 (0.765)	Data 0.001 (0.004)	Loss 1.9571 (1.8454)	Prec@1 46.875 (51.760)	Prec@5 75.000 (81.350)
Epoch: [70][12380/14090]	Time 0.724 (0.765)	Data 0.001 (0.004)	Loss 1.9702 (1.8455)	Prec@1 51.562 (51.760)	Prec@5 76.562 (81.349)
Epoch: [70][12390/14090]	Time 0.749 (0.765)	Data 0.001 (0.004)	Loss 1.8818 (1.8455)	Prec@1 52.344 (51.758)	Prec@5 75.781 (81.348)
Epoch: [70][12400/14090]	Time 0.833 (0.765)	Data 0.001 (0.004)	Loss 1.7784 (1.8456)	Prec@1 56.250 (51.759)	Prec@5 81.250 (81.348)
Epoch: [70][12410/14090]	Time 0.753 (0.765)	Data 0.001 (0.004)	Loss 1.6044 (1.8456)	Prec@1 56.250 (51.759)	Prec@5 81.250 (81.346)
Epoch: [70][12420/14090]	Time 0.728 (0.765)	Data 0.001 (0.004)	Loss 1.9033 (1.8456)	Prec@1 55.469 (51.760)	Prec@5 81.250 (81.346)
Epoch: [70][12430/14090]	Time 0.767 (0.765)	Data 0.001 (0.004)	Loss 1.7051 (1.8456)	Prec@1 57.031 (51.761)	Prec@5 83.594 (81.346)
Epoch: [70][12440/14090]	Time 0.736 (0.765)	Data 0.001 (0.004)	Loss 1.7490 (1.8455)	Prec@1 55.469 (51.762)	Prec@5 82.812 (81.347)
Epoch: [70][12450/14090]	Time 0.762 (0.765)	Data 0.001 (0.004)	Loss 1.8845 (1.8456)	Prec@1 51.562 (51.760)	Prec@5 81.250 (81.347)
Epoch: [70][12460/14090]	Time 0.721 (0.765)	Data 0.001 (0.004)	Loss 1.8381 (1.8456)	Prec@1 55.469 (51.759)	Prec@5 78.906 (81.346)
Epoch: [70][12470/14090]	Time 0.845 (0.765)	Data 0.001 (0.004)	Loss 1.9436 (1.8457)	Prec@1 50.781 (51.757)	Prec@5 79.688 (81.345)
Epoch: [70][12480/14090]	Time 0.752 (0.766)	Data 0.001 (0.004)	Loss 1.8468 (1.8456)	Prec@1 54.688 (51.759)	Prec@5 84.375 (81.347)
Epoch: [70][12490/14090]	Time 0.754 (0.766)	Data 0.001 (0.004)	Loss 1.7432 (1.8456)	Prec@1 53.125 (51.759)	Prec@5 83.594 (81.347)
Epoch: [70][12500/14090]	Time 0.764 (0.766)	Data 0.001 (0.004)	Loss 2.0405 (1.8457)	Prec@1 50.000 (51.759)	Prec@5 78.906 (81.346)
Epoch: [70][12510/14090]	Time 0.732 (0.766)	Data 0.001 (0.004)	Loss 1.8908 (1.8457)	Prec@1 54.688 (51.758)	Prec@5 79.688 (81.346)
Epoch: [70][12520/14090]	Time 0.723 (0.766)	Data 0.001 (0.004)	Loss 1.9363 (1.8458)	Prec@1 56.250 (51.757)	Prec@5 81.250 (81.345)
Epoch: [70][12530/14090]	Time 0.730 (0.766)	Data 0.001 (0.005)	Loss 1.8582 (1.8458)	Prec@1 48.438 (51.757)	Prec@5 79.688 (81.346)
Epoch: [70][12540/14090]	Time 1.458 (0.766)	Data 0.609 (0.005)	Loss 1.9912 (1.8457)	Prec@1 51.562 (51.758)	Prec@5 75.781 (81.347)
Epoch: [70][12550/14090]	Time 0.727 (0.766)	Data 0.001 (0.005)	Loss 1.8223 (1.8457)	Prec@1 48.438 (51.758)	Prec@5 81.250 (81.347)
Epoch: [70][12560/14090]	Time 0.741 (0.766)	Data 0.001 (0.005)	Loss 1.7064 (1.8457)	Prec@1 54.688 (51.758)	Prec@5 82.812 (81.348)
Epoch: [70][12570/14090]	Time 0.746 (0.766)	Data 0.001 (0.005)	Loss 1.7175 (1.8457)	Prec@1 57.812 (51.759)	Prec@5 80.469 (81.347)
Epoch: [70][12580/14090]	Time 1.401 (0.766)	Data 0.691 (0.005)	Loss 1.5901 (1.8457)	Prec@1 58.594 (51.758)	Prec@5 85.156 (81.347)
Epoch: [70][12590/14090]	Time 0.745 (0.766)	Data 0.001 (0.005)	Loss 1.8493 (1.8457)	Prec@1 54.688 (51.759)	Prec@5 82.031 (81.348)
Epoch: [70][12600/14090]	Time 0.745 (0.766)	Data 0.001 (0.005)	Loss 1.8329 (1.8456)	Prec@1 42.188 (51.758)	Prec@5 85.938 (81.348)
Epoch: [70][12610/14090]	Time 0.869 (0.766)	Data 0.001 (0.005)	Loss 1.8966 (1.8456)	Prec@1 53.906 (51.758)	Prec@5 80.469 (81.349)
Epoch: [70][12620/14090]	Time 0.745 (0.766)	Data 0.001 (0.005)	Loss 1.7902 (1.8456)	Prec@1 50.781 (51.759)	Prec@5 82.812 (81.350)
Epoch: [70][12630/14090]	Time 0.746 (0.766)	Data 0.001 (0.005)	Loss 2.0685 (1.8456)	Prec@1 46.875 (51.758)	Prec@5 73.438 (81.349)
Epoch: [70][12640/14090]	Time 0.737 (0.766)	Data 0.001 (0.005)	Loss 1.6823 (1.8456)	Prec@1 55.469 (51.758)	Prec@5 82.031 (81.349)
Epoch: [70][12650/14090]	Time 0.737 (0.766)	Data 0.001 (0.005)	Loss 1.6631 (1.8456)	Prec@1 60.156 (51.758)	Prec@5 85.156 (81.349)
Epoch: [70][12660/14090]	Time 0.756 (0.766)	Data 0.001 (0.005)	Loss 1.8412 (1.8457)	Prec@1 53.125 (51.757)	Prec@5 80.469 (81.349)
Epoch: [70][12670/14090]	Time 0.732 (0.766)	Data 0.001 (0.005)	Loss 1.8757 (1.8457)	Prec@1 50.781 (51.756)	Prec@5 84.375 (81.349)
Epoch: [70][12680/14090]	Time 0.841 (0.766)	Data 0.001 (0.005)	Loss 1.8395 (1.8457)	Prec@1 53.906 (51.755)	Prec@5 78.125 (81.347)
Epoch: [70][12690/14090]	Time 0.723 (0.766)	Data 0.001 (0.005)	Loss 1.7923 (1.8457)	Prec@1 58.594 (51.754)	Prec@5 81.250 (81.347)
Epoch: [70][12700/14090]	Time 0.753 (0.766)	Data 0.001 (0.005)	Loss 1.7514 (1.8457)	Prec@1 45.312 (51.752)	Prec@5 81.250 (81.348)
Epoch: [70][12710/14090]	Time 0.741 (0.767)	Data 0.001 (0.005)	Loss 1.9660 (1.8458)	Prec@1 46.094 (51.751)	Prec@5 77.344 (81.347)
Epoch: [70][12720/14090]	Time 0.729 (0.767)	Data 0.001 (0.006)	Loss 1.9115 (1.8457)	Prec@1 46.875 (51.751)	Prec@5 81.250 (81.348)
Epoch: [70][12730/14090]	Time 1.460 (0.767)	Data 0.742 (0.006)	Loss 1.7047 (1.8457)	Prec@1 54.688 (51.751)	Prec@5 84.375 (81.348)
Epoch: [70][12740/14090]	Time 0.748 (0.767)	Data 0.001 (0.006)	Loss 1.9682 (1.8458)	Prec@1 48.438 (51.749)	Prec@5 79.688 (81.349)
Epoch: [70][12750/14090]	Time 0.878 (0.767)	Data 0.001 (0.006)	Loss 1.9021 (1.8458)	Prec@1 57.031 (51.750)	Prec@5 80.469 (81.349)
Epoch: [70][12760/14090]	Time 0.752 (0.767)	Data 0.001 (0.006)	Loss 1.9990 (1.8458)	Prec@1 46.094 (51.752)	Prec@5 80.469 (81.349)
Epoch: [70][12770/14090]	Time 0.850 (0.767)	Data 0.123 (0.006)	Loss 1.6847 (1.8457)	Prec@1 60.938 (51.754)	Prec@5 85.156 (81.349)
Epoch: [70][12780/14090]	Time 0.739 (0.767)	Data 0.001 (0.006)	Loss 1.9534 (1.8457)	Prec@1 50.000 (51.753)	Prec@5 78.125 (81.349)
Epoch: [70][12790/14090]	Time 0.723 (0.767)	Data 0.001 (0.006)	Loss 1.9080 (1.8458)	Prec@1 53.906 (51.753)	Prec@5 78.906 (81.348)
Epoch: [70][12800/14090]	Time 0.732 (0.768)	Data 0.001 (0.007)	Loss 1.9671 (1.8458)	Prec@1 43.750 (51.753)	Prec@5 76.562 (81.347)
Epoch: [70][12810/14090]	Time 0.732 (0.768)	Data 0.001 (0.007)	Loss 1.7583 (1.8458)	Prec@1 57.812 (51.753)	Prec@5 82.812 (81.347)
Epoch: [70][12820/14090]	Time 0.862 (0.768)	Data 0.001 (0.007)	Loss 1.8721 (1.8458)	Prec@1 50.781 (51.752)	Prec@5 81.250 (81.347)
Epoch: [70][12830/14090]	Time 0.759 (0.768)	Data 0.001 (0.007)	Loss 1.9432 (1.8458)	Prec@1 53.906 (51.751)	Prec@5 78.125 (81.346)
Epoch: [70][12840/14090]	Time 0.732 (0.768)	Data 0.001 (0.007)	Loss 1.8102 (1.8458)	Prec@1 53.125 (51.753)	Prec@5 84.375 (81.347)
Epoch: [70][12850/14090]	Time 2.917 (0.768)	Data 2.235 (0.007)	Loss 1.8033 (1.8458)	Prec@1 54.688 (51.753)	Prec@5 83.594 (81.347)
Epoch: [70][12860/14090]	Time 0.726 (0.768)	Data 0.001 (0.007)	Loss 2.0244 (1.8457)	Prec@1 48.438 (51.754)	Prec@5 82.031 (81.347)
Epoch: [70][12870/14090]	Time 0.721 (0.769)	Data 0.001 (0.008)	Loss 1.9465 (1.8458)	Prec@1 45.312 (51.751)	Prec@5 79.688 (81.346)
Epoch: [70][12880/14090]	Time 0.751 (0.769)	Data 0.001 (0.008)	Loss 2.0586 (1.8458)	Prec@1 49.219 (51.752)	Prec@5 78.125 (81.346)
Epoch: [70][12890/14090]	Time 0.869 (0.769)	Data 0.001 (0.008)	Loss 2.0592 (1.8458)	Prec@1 49.219 (51.752)	Prec@5 81.250 (81.347)
Epoch: [70][12900/14090]	Time 2.608 (0.769)	Data 1.914 (0.008)	Loss 1.9787 (1.8459)	Prec@1 49.219 (51.751)	Prec@5 78.906 (81.346)
Epoch: [70][12910/14090]	Time 0.739 (0.769)	Data 0.001 (0.008)	Loss 1.9522 (1.8459)	Prec@1 48.438 (51.749)	Prec@5 77.344 (81.345)
Epoch: [70][12920/14090]	Time 1.062 (0.769)	Data 0.364 (0.008)	Loss 1.9439 (1.8459)	Prec@1 44.531 (51.749)	Prec@5 79.688 (81.345)
Epoch: [70][12930/14090]	Time 0.728 (0.769)	Data 0.001 (0.008)	Loss 1.8237 (1.8460)	Prec@1 57.812 (51.748)	Prec@5 80.469 (81.345)
Epoch: [70][12940/14090]	Time 0.757 (0.769)	Data 0.001 (0.009)	Loss 1.7928 (1.8460)	Prec@1 51.562 (51.748)	Prec@5 79.688 (81.345)
Epoch: [70][12950/14090]	Time 1.683 (0.770)	Data 0.968 (0.009)	Loss 1.7288 (1.8459)	Prec@1 53.906 (51.748)	Prec@5 79.688 (81.345)
Epoch: [70][12960/14090]	Time 0.837 (0.770)	Data 0.001 (0.009)	Loss 1.9330 (1.8460)	Prec@1 48.438 (51.750)	Prec@5 79.688 (81.344)
Epoch: [70][12970/14090]	Time 0.720 (0.770)	Data 0.001 (0.009)	Loss 1.9041 (1.8460)	Prec@1 50.781 (51.750)	Prec@5 78.906 (81.343)
Epoch: [70][12980/14090]	Time 0.726 (0.770)	Data 0.001 (0.009)	Loss 1.9807 (1.8460)	Prec@1 53.125 (51.749)	Prec@5 75.781 (81.341)
Epoch: [70][12990/14090]	Time 0.736 (0.770)	Data 0.001 (0.009)	Loss 1.7326 (1.8460)	Prec@1 61.719 (51.751)	Prec@5 85.156 (81.342)
Epoch: [70][13000/14090]	Time 0.778 (0.770)	Data 0.001 (0.009)	Loss 1.7755 (1.8460)	Prec@1 51.562 (51.750)	Prec@5 80.469 (81.343)
Epoch: [70][13010/14090]	Time 0.752 (0.770)	Data 0.001 (0.009)	Loss 1.8396 (1.8461)	Prec@1 50.000 (51.749)	Prec@5 78.906 (81.341)
Epoch: [70][13020/14090]	Time 0.738 (0.770)	Data 0.001 (0.010)	Loss 1.8299 (1.8460)	Prec@1 52.344 (51.748)	Prec@5 82.031 (81.342)
Epoch: [70][13030/14090]	Time 0.879 (0.770)	Data 0.001 (0.010)	Loss 1.6794 (1.8460)	Prec@1 49.219 (51.748)	Prec@5 82.812 (81.342)
Epoch: [70][13040/14090]	Time 0.749 (0.770)	Data 0.001 (0.010)	Loss 1.7991 (1.8461)	Prec@1 51.562 (51.748)	Prec@5 81.250 (81.343)
Epoch: [70][13050/14090]	Time 0.721 (0.771)	Data 0.001 (0.010)	Loss 1.6550 (1.8461)	Prec@1 58.594 (51.748)	Prec@5 85.938 (81.344)
Epoch: [70][13060/14090]	Time 0.753 (0.771)	Data 0.001 (0.010)	Loss 2.1863 (1.8460)	Prec@1 48.438 (51.749)	Prec@5 74.219 (81.343)
Epoch: [70][13070/14090]	Time 0.729 (0.771)	Data 0.001 (0.010)	Loss 1.8630 (1.8461)	Prec@1 51.562 (51.749)	Prec@5 80.469 (81.342)
Epoch: [70][13080/14090]	Time 0.749 (0.771)	Data 0.001 (0.010)	Loss 2.1045 (1.8462)	Prec@1 45.312 (51.748)	Prec@5 75.000 (81.341)
Epoch: [70][13090/14090]	Time 0.725 (0.771)	Data 0.001 (0.010)	Loss 1.9844 (1.8462)	Prec@1 49.219 (51.747)	Prec@5 78.125 (81.341)
Epoch: [70][13100/14090]	Time 1.225 (0.771)	Data 0.405 (0.010)	Loss 2.0252 (1.8462)	Prec@1 53.906 (51.748)	Prec@5 75.000 (81.339)
Epoch: [70][13110/14090]	Time 0.732 (0.771)	Data 0.001 (0.010)	Loss 2.3023 (1.8462)	Prec@1 46.875 (51.747)	Prec@5 74.219 (81.339)
Epoch: [70][13120/14090]	Time 0.725 (0.771)	Data 0.001 (0.011)	Loss 1.9205 (1.8462)	Prec@1 53.906 (51.747)	Prec@5 81.250 (81.339)
Epoch: [70][13130/14090]	Time 0.718 (0.771)	Data 0.001 (0.011)	Loss 1.6720 (1.8461)	Prec@1 60.156 (51.750)	Prec@5 83.594 (81.341)
Epoch: [70][13140/14090]	Time 0.740 (0.771)	Data 0.001 (0.011)	Loss 2.1109 (1.8461)	Prec@1 52.344 (51.751)	Prec@5 78.906 (81.341)
Epoch: [70][13150/14090]	Time 0.748 (0.772)	Data 0.001 (0.011)	Loss 1.7695 (1.8461)	Prec@1 53.906 (51.752)	Prec@5 82.031 (81.341)
Epoch: [70][13160/14090]	Time 0.724 (0.772)	Data 0.001 (0.011)	Loss 1.8388 (1.8461)	Prec@1 46.875 (51.752)	Prec@5 82.812 (81.341)
Epoch: [70][13170/14090]	Time 0.842 (0.772)	Data 0.001 (0.011)	Loss 1.8198 (1.8461)	Prec@1 48.438 (51.752)	Prec@5 80.469 (81.341)
Epoch: [70][13180/14090]	Time 0.760 (0.772)	Data 0.001 (0.011)	Loss 2.0113 (1.8461)	Prec@1 47.656 (51.751)	Prec@5 74.219 (81.340)
Epoch: [70][13190/14090]	Time 1.088 (0.772)	Data 0.396 (0.011)	Loss 1.8134 (1.8461)	Prec@1 53.125 (51.752)	Prec@5 84.375 (81.339)
Epoch: [70][13200/14090]	Time 3.398 (0.772)	Data 2.683 (0.012)	Loss 1.9533 (1.8462)	Prec@1 48.438 (51.750)	Prec@5 78.125 (81.338)
Epoch: [70][13210/14090]	Time 0.724 (0.772)	Data 0.001 (0.012)	Loss 1.6444 (1.8462)	Prec@1 56.250 (51.750)	Prec@5 84.375 (81.338)
Epoch: [70][13220/14090]	Time 0.744 (0.773)	Data 0.001 (0.012)	Loss 1.9168 (1.8462)	Prec@1 49.219 (51.748)	Prec@5 79.688 (81.337)
Epoch: [70][13230/14090]	Time 0.733 (0.773)	Data 0.001 (0.012)	Loss 1.6834 (1.8463)	Prec@1 59.375 (51.746)	Prec@5 83.594 (81.336)
Epoch: [70][13240/14090]	Time 4.014 (0.773)	Data 3.200 (0.012)	Loss 1.6696 (1.8462)	Prec@1 52.344 (51.747)	Prec@5 85.938 (81.338)
Epoch: [70][13250/14090]	Time 0.729 (0.773)	Data 0.001 (0.013)	Loss 1.9292 (1.8462)	Prec@1 52.344 (51.747)	Prec@5 80.469 (81.339)
Epoch: [70][13260/14090]	Time 0.744 (0.773)	Data 0.001 (0.013)	Loss 1.7220 (1.8462)	Prec@1 56.250 (51.747)	Prec@5 80.469 (81.338)
Epoch: [70][13270/14090]	Time 0.749 (0.774)	Data 0.001 (0.013)	Loss 1.7990 (1.8463)	Prec@1 46.875 (51.745)	Prec@5 80.469 (81.337)
Epoch: [70][13280/14090]	Time 2.741 (0.774)	Data 2.028 (0.013)	Loss 1.9057 (1.8463)	Prec@1 49.219 (51.746)	Prec@5 80.469 (81.337)
Epoch: [70][13290/14090]	Time 0.718 (0.774)	Data 0.001 (0.014)	Loss 2.0677 (1.8464)	Prec@1 49.219 (51.744)	Prec@5 75.781 (81.335)
Epoch: [70][13300/14090]	Time 0.717 (0.774)	Data 0.001 (0.014)	Loss 2.1048 (1.8464)	Prec@1 46.094 (51.743)	Prec@5 80.469 (81.335)
Epoch: [70][13310/14090]	Time 0.835 (0.774)	Data 0.001 (0.014)	Loss 1.7603 (1.8464)	Prec@1 53.125 (51.742)	Prec@5 79.688 (81.334)
Epoch: [70][13320/14090]	Time 0.729 (0.775)	Data 0.001 (0.014)	Loss 1.6811 (1.8464)	Prec@1 57.812 (51.741)	Prec@5 83.594 (81.335)
Epoch: [70][13330/14090]	Time 1.232 (0.775)	Data 0.528 (0.014)	Loss 1.8069 (1.8464)	Prec@1 54.688 (51.741)	Prec@5 81.250 (81.335)
Epoch: [70][13340/14090]	Time 4.005 (0.775)	Data 3.314 (0.015)	Loss 1.9651 (1.8464)	Prec@1 52.344 (51.741)	Prec@5 79.688 (81.335)
Epoch: [70][13350/14090]	Time 0.759 (0.775)	Data 0.001 (0.015)	Loss 1.8124 (1.8465)	Prec@1 50.000 (51.740)	Prec@5 79.688 (81.334)
Epoch: [70][13360/14090]	Time 0.723 (0.776)	Data 0.001 (0.015)	Loss 1.8253 (1.8464)	Prec@1 56.250 (51.741)	Prec@5 83.594 (81.335)
Epoch: [70][13370/14090]	Time 0.730 (0.776)	Data 0.001 (0.015)	Loss 2.0833 (1.8465)	Prec@1 47.656 (51.738)	Prec@5 77.344 (81.334)
Epoch: [70][13380/14090]	Time 0.845 (0.776)	Data 0.001 (0.016)	Loss 1.7629 (1.8466)	Prec@1 53.906 (51.738)	Prec@5 83.594 (81.332)
Epoch: [70][13390/14090]	Time 1.958 (0.776)	Data 1.246 (0.016)	Loss 1.9045 (1.8465)	Prec@1 47.656 (51.739)	Prec@5 80.469 (81.332)
Epoch: [70][13400/14090]	Time 0.723 (0.777)	Data 0.001 (0.016)	Loss 1.7612 (1.8466)	Prec@1 48.438 (51.739)	Prec@5 82.812 (81.332)
Epoch: [70][13410/14090]	Time 0.724 (0.777)	Data 0.001 (0.017)	Loss 2.0265 (1.8466)	Prec@1 45.312 (51.739)	Prec@5 79.688 (81.331)
Epoch: [70][13420/14090]	Time 0.738 (0.777)	Data 0.001 (0.017)	Loss 2.0004 (1.8466)	Prec@1 47.656 (51.738)	Prec@5 82.031 (81.331)
Epoch: [70][13430/14090]	Time 2.713 (0.778)	Data 1.999 (0.017)	Loss 1.7762 (1.8466)	Prec@1 56.250 (51.740)	Prec@5 79.688 (81.330)
Epoch: [70][13440/14090]	Time 0.721 (0.778)	Data 0.001 (0.017)	Loss 2.0895 (1.8466)	Prec@1 42.969 (51.740)	Prec@5 78.125 (81.331)
Epoch: [70][13450/14090]	Time 0.833 (0.778)	Data 0.001 (0.018)	Loss 2.0657 (1.8466)	Prec@1 46.875 (51.740)	Prec@5 78.125 (81.331)
Epoch: [70][13460/14090]	Time 0.722 (0.778)	Data 0.001 (0.018)	Loss 1.9397 (1.8466)	Prec@1 53.125 (51.740)	Prec@5 76.562 (81.329)
Epoch: [70][13470/14090]	Time 0.724 (0.779)	Data 0.001 (0.018)	Loss 1.7421 (1.8466)	Prec@1 51.562 (51.741)	Prec@5 84.375 (81.330)
Epoch: [70][13480/14090]	Time 1.450 (0.779)	Data 0.750 (0.019)	Loss 1.6180 (1.8465)	Prec@1 57.812 (51.742)	Prec@5 85.938 (81.331)
Epoch: [70][13490/14090]	Time 0.720 (0.779)	Data 0.001 (0.019)	Loss 1.8524 (1.8466)	Prec@1 51.562 (51.742)	Prec@5 82.031 (81.330)
Epoch: [70][13500/14090]	Time 0.754 (0.780)	Data 0.001 (0.019)	Loss 1.6894 (1.8466)	Prec@1 55.469 (51.742)	Prec@5 85.156 (81.330)
Epoch: [70][13510/14090]	Time 0.753 (0.780)	Data 0.001 (0.020)	Loss 1.8462 (1.8466)	Prec@1 42.969 (51.741)	Prec@5 87.500 (81.331)
Epoch: [70][13520/14090]	Time 1.140 (0.780)	Data 0.324 (0.020)	Loss 2.3093 (1.8466)	Prec@1 41.406 (51.740)	Prec@5 71.875 (81.330)
Epoch: [70][13530/14090]	Time 3.284 (0.781)	Data 2.585 (0.020)	Loss 2.0570 (1.8466)	Prec@1 46.094 (51.740)	Prec@5 73.438 (81.330)
Epoch: [70][13540/14090]	Time 0.730 (0.781)	Data 0.001 (0.021)	Loss 1.9635 (1.8467)	Prec@1 53.906 (51.740)	Prec@5 82.031 (81.330)
Epoch: [70][13550/14090]	Time 0.728 (0.781)	Data 0.001 (0.021)	Loss 1.9926 (1.8467)	Prec@1 51.562 (51.740)	Prec@5 78.125 (81.329)
Epoch: [70][13560/14090]	Time 0.733 (0.782)	Data 0.001 (0.021)	Loss 1.9576 (1.8466)	Prec@1 50.781 (51.742)	Prec@5 78.125 (81.330)
Epoch: [70][13570/14090]	Time 0.724 (0.782)	Data 0.001 (0.022)	Loss 1.4681 (1.8466)	Prec@1 58.594 (51.741)	Prec@5 89.844 (81.329)
Epoch: [70][13580/14090]	Time 0.726 (0.782)	Data 0.001 (0.022)	Loss 1.9303 (1.8466)	Prec@1 51.562 (51.741)	Prec@5 84.375 (81.330)
Epoch: [70][13590/14090]	Time 3.550 (0.783)	Data 2.721 (0.023)	Loss 1.6962 (1.8466)	Prec@1 57.031 (51.742)	Prec@5 83.594 (81.329)
Epoch: [70][13600/14090]	Time 2.976 (0.783)	Data 2.300 (0.023)	Loss 1.6982 (1.8466)	Prec@1 57.812 (51.741)	Prec@5 79.688 (81.329)
Epoch: [70][13610/14090]	Time 0.723 (0.784)	Data 0.001 (0.024)	Loss 1.8716 (1.8466)	Prec@1 51.562 (51.740)	Prec@5 80.469 (81.330)
Epoch: [70][13620/14090]	Time 0.721 (0.784)	Data 0.001 (0.024)	Loss 1.7138 (1.8466)	Prec@1 57.031 (51.741)	Prec@5 86.719 (81.330)
Epoch: [70][13630/14090]	Time 1.384 (0.784)	Data 0.707 (0.024)	Loss 1.8285 (1.8466)	Prec@1 56.250 (51.739)	Prec@5 81.250 (81.331)
Epoch: [70][13640/14090]	Time 0.720 (0.785)	Data 0.001 (0.025)	Loss 1.4181 (1.8466)	Prec@1 64.062 (51.740)	Prec@5 85.938 (81.332)
Epoch: [70][13650/14090]	Time 4.277 (0.785)	Data 3.571 (0.025)	Loss 1.8175 (1.8466)	Prec@1 53.125 (51.739)	Prec@5 78.906 (81.332)
Epoch: [70][13660/14090]	Time 3.610 (0.785)	Data 2.778 (0.025)	Loss 1.4258 (1.8466)	Prec@1 64.062 (51.740)	Prec@5 87.500 (81.332)
Epoch: [70][13670/14090]	Time 0.715 (0.786)	Data 0.001 (0.026)	Loss 1.8966 (1.8467)	Prec@1 53.125 (51.740)	Prec@5 76.562 (81.332)
Epoch: [70][13680/14090]	Time 0.750 (0.786)	Data 0.001 (0.026)	Loss 1.7190 (1.8466)	Prec@1 60.938 (51.744)	Prec@5 82.031 (81.334)
Epoch: [70][13690/14090]	Time 0.728 (0.786)	Data 0.001 (0.026)	Loss 1.5703 (1.8466)	Prec@1 58.594 (51.742)	Prec@5 86.719 (81.333)
Epoch: [70][13700/14090]	Time 5.189 (0.787)	Data 4.501 (0.027)	Loss 2.0363 (1.8466)	Prec@1 47.656 (51.741)	Prec@5 75.781 (81.332)
Epoch: [70][13710/14090]	Time 0.722 (0.787)	Data 0.001 (0.028)	Loss 1.8393 (1.8467)	Prec@1 50.781 (51.742)	Prec@5 82.031 (81.332)
Epoch: [70][13720/14090]	Time 1.258 (0.788)	Data 0.537 (0.028)	Loss 1.6897 (1.8467)	Prec@1 51.562 (51.741)	Prec@5 83.594 (81.332)
Epoch: [70][13730/14090]	Time 0.813 (0.788)	Data 0.001 (0.028)	Loss 1.7429 (1.8466)	Prec@1 53.125 (51.743)	Prec@5 81.250 (81.332)
Epoch: [70][13740/14090]	Time 1.779 (0.788)	Data 1.055 (0.029)	Loss 1.7733 (1.8466)	Prec@1 50.781 (51.744)	Prec@5 82.812 (81.332)
Epoch: [70][13750/14090]	Time 0.948 (0.789)	Data 0.259 (0.029)	Loss 2.0096 (1.8466)	Prec@1 46.094 (51.743)	Prec@5 79.688 (81.332)
Epoch: [70][13760/14090]	Time 0.755 (0.789)	Data 0.001 (0.029)	Loss 1.8206 (1.8465)	Prec@1 48.438 (51.745)	Prec@5 81.250 (81.332)
Epoch: [70][13770/14090]	Time 0.757 (0.790)	Data 0.001 (0.030)	Loss 2.0905 (1.8466)	Prec@1 48.438 (51.745)	Prec@5 78.125 (81.332)
Epoch: [70][13780/14090]	Time 2.912 (0.790)	Data 2.228 (0.031)	Loss 2.0060 (1.8466)	Prec@1 50.000 (51.744)	Prec@5 79.688 (81.332)
Epoch: [70][13790/14090]	Time 1.964 (0.791)	Data 1.272 (0.031)	Loss 1.5152 (1.8466)	Prec@1 57.031 (51.743)	Prec@5 89.062 (81.332)
Epoch: [70][13800/14090]	Time 0.999 (0.791)	Data 0.139 (0.032)	Loss 2.0377 (1.8466)	Prec@1 47.656 (51.743)	Prec@5 76.562 (81.332)
Epoch: [70][13810/14090]	Time 0.727 (0.792)	Data 0.001 (0.032)	Loss 1.7375 (1.8466)	Prec@1 53.125 (51.744)	Prec@5 82.812 (81.331)
Epoch: [70][13820/14090]	Time 5.378 (0.793)	Data 4.686 (0.033)	Loss 1.8759 (1.8466)	Prec@1 50.000 (51.745)	Prec@5 83.594 (81.332)
Epoch: [70][13830/14090]	Time 0.743 (0.793)	Data 0.001 (0.033)	Loss 1.7564 (1.8466)	Prec@1 50.781 (51.744)	Prec@5 78.125 (81.332)
Epoch: [70][13840/14090]	Time 0.738 (0.793)	Data 0.001 (0.033)	Loss 1.8376 (1.8466)	Prec@1 50.000 (51.743)	Prec@5 82.031 (81.331)
Epoch: [70][13850/14090]	Time 1.733 (0.793)	Data 1.010 (0.034)	Loss 1.8274 (1.8466)	Prec@1 49.219 (51.743)	Prec@5 85.938 (81.332)
Epoch: [70][13860/14090]	Time 2.294 (0.794)	Data 1.612 (0.034)	Loss 1.8299 (1.8465)	Prec@1 53.906 (51.743)	Prec@5 84.375 (81.332)
Epoch: [70][13870/14090]	Time 4.485 (0.795)	Data 3.685 (0.035)	Loss 1.6346 (1.8464)	Prec@1 56.250 (51.745)	Prec@5 84.375 (81.334)
Epoch: [70][13880/14090]	Time 0.727 (0.795)	Data 0.001 (0.035)	Loss 2.0434 (1.8465)	Prec@1 46.875 (51.743)	Prec@5 75.781 (81.332)
Epoch: [70][13890/14090]	Time 0.724 (0.795)	Data 0.001 (0.036)	Loss 1.8538 (1.8465)	Prec@1 50.781 (51.742)	Prec@5 79.688 (81.332)
Epoch: [70][13900/14090]	Time 0.736 (0.796)	Data 0.001 (0.036)	Loss 1.9716 (1.8465)	Prec@1 44.531 (51.741)	Prec@5 78.906 (81.332)
Epoch: [70][13910/14090]	Time 1.275 (0.796)	Data 0.547 (0.036)	Loss 2.0008 (1.8465)	Prec@1 42.188 (51.742)	Prec@5 79.688 (81.333)
Epoch: [70][13920/14090]	Time 0.750 (0.796)	Data 0.001 (0.037)	Loss 2.0436 (1.8465)	Prec@1 46.094 (51.742)	Prec@5 77.344 (81.334)
Epoch: [70][13930/14090]	Time 3.391 (0.797)	Data 2.702 (0.038)	Loss 1.7685 (1.8464)	Prec@1 57.812 (51.742)	Prec@5 81.250 (81.334)
Epoch: [70][13940/14090]	Time 3.127 (0.798)	Data 2.350 (0.038)	Loss 2.0693 (1.8465)	Prec@1 46.094 (51.742)	Prec@5 75.781 (81.335)
Epoch: [70][13950/14090]	Time 0.722 (0.799)	Data 0.001 (0.039)	Loss 1.9357 (1.8465)	Prec@1 53.906 (51.742)	Prec@5 78.125 (81.334)
Epoch: [70][13960/14090]	Time 2.900 (0.799)	Data 2.206 (0.040)	Loss 1.6962 (1.8465)	Prec@1 54.688 (51.741)	Prec@5 85.156 (81.335)
Epoch: [70][13970/14090]	Time 0.722 (0.800)	Data 0.001 (0.041)	Loss 1.9526 (1.8465)	Prec@1 46.875 (51.740)	Prec@5 83.594 (81.336)
Epoch: [70][13980/14090]	Time 3.757 (0.801)	Data 3.066 (0.041)	Loss 2.0608 (1.8465)	Prec@1 49.219 (51.739)	Prec@5 77.344 (81.335)
Epoch: [70][13990/14090]	Time 0.724 (0.802)	Data 0.001 (0.043)	Loss 1.6844 (1.8465)	Prec@1 55.469 (51.739)	Prec@5 83.594 (81.335)
Epoch: [70][14000/14090]	Time 2.552 (0.803)	Data 1.858 (0.044)	Loss 1.7733 (1.8465)	Prec@1 50.781 (51.740)	Prec@5 85.156 (81.336)
Epoch: [70][14010/14090]	Time 3.037 (0.804)	Data 2.193 (0.045)	Loss 1.9747 (1.8465)	Prec@1 46.094 (51.739)	Prec@5 85.938 (81.336)
Epoch: [70][14020/14090]	Time 0.727 (0.806)	Data 0.001 (0.047)	Loss 1.7150 (1.8465)	Prec@1 57.812 (51.740)	Prec@5 82.031 (81.337)
Epoch: [70][14030/14090]	Time 0.718 (0.807)	Data 0.001 (0.048)	Loss 2.0948 (1.8465)	Prec@1 43.750 (51.740)	Prec@5 78.125 (81.338)
Epoch: [70][14040/14090]	Time 1.825 (0.809)	Data 1.163 (0.049)	Loss 1.9834 (1.8465)	Prec@1 46.094 (51.740)	Prec@5 78.125 (81.336)
Epoch: [70][14050/14090]	Time 1.002 (0.809)	Data 0.312 (0.050)	Loss 1.9149 (1.8465)	Prec@1 44.531 (51.740)	Prec@5 78.906 (81.337)
Epoch: [70][14060/14090]	Time 0.726 (0.809)	Data 0.001 (0.050)	Loss 1.6207 (1.8465)	Prec@1 58.594 (51.741)	Prec@5 82.031 (81.336)
Epoch: [70][14070/14090]	Time 0.731 (0.809)	Data 0.001 (0.050)	Loss 1.8227 (1.8465)	Prec@1 50.000 (51.740)	Prec@5 81.250 (81.336)
Epoch: [70][14080/14090]	Time 0.818 (0.809)	Data 0.050 (0.050)	Loss 1.8369 (1.8464)	Prec@1 50.000 (51.741)	Prec@5 84.375 (81.337)
Test: [0/286]	Time 5.606 (5.606)	Loss 1.3208 (1.3208)	Prec@1 57.031 (57.031)	Prec@5 95.312 (95.312)
Test: [10/286]	Time 0.241 (0.927)	Loss 1.6749 (1.7747)	Prec@1 57.031 (53.977)	Prec@5 87.500 (84.659)
Test: [20/286]	Time 0.239 (0.707)	Loss 1.2648 (1.7062)	Prec@1 65.625 (54.539)	Prec@5 93.750 (85.938)
Test: [30/286]	Time 0.311 (0.645)	Loss 1.8242 (1.6242)	Prec@1 55.469 (56.905)	Prec@5 82.031 (86.341)
Test: [40/286]	Time 2.197 (0.644)	Loss 1.7144 (1.6553)	Prec@1 50.781 (56.040)	Prec@5 88.281 (86.166)
Test: [50/286]	Time 0.497 (0.614)	Loss 0.4813 (1.6535)	Prec@1 90.625 (55.898)	Prec@5 95.312 (86.167)
Test: [60/286]	Time 0.284 (0.593)	Loss 2.7685 (1.6879)	Prec@1 37.500 (55.392)	Prec@5 67.188 (85.067)
Test: [70/286]	Time 0.264 (0.577)	Loss 1.0369 (1.6638)	Prec@1 75.781 (55.964)	Prec@5 94.531 (85.387)
Test: [80/286]	Time 1.736 (0.584)	Loss 1.8863 (1.6976)	Prec@1 46.875 (54.948)	Prec@5 81.250 (85.021)
Test: [90/286]	Time 0.577 (0.575)	Loss 1.9665 (1.7122)	Prec@1 45.312 (54.688)	Prec@5 85.156 (84.796)
Test: [100/286]	Time 0.592 (0.569)	Loss 2.1379 (1.7245)	Prec@1 34.375 (53.991)	Prec@5 85.938 (84.762)
Test: [110/286]	Time 0.674 (0.568)	Loss 2.2423 (1.7384)	Prec@1 45.312 (53.751)	Prec@5 75.000 (84.713)
Test: [120/286]	Time 0.474 (0.563)	Loss 1.6124 (1.7278)	Prec@1 62.500 (54.145)	Prec@5 82.812 (84.859)
Test: [130/286]	Time 0.735 (0.562)	Loss 0.9441 (1.7178)	Prec@1 70.312 (54.449)	Prec@5 95.312 (85.049)
Test: [140/286]	Time 0.332 (0.558)	Loss 2.3057 (1.7068)	Prec@1 51.562 (54.804)	Prec@5 73.438 (85.101)
Test: [150/286]	Time 0.547 (0.561)	Loss 2.6349 (1.7188)	Prec@1 31.250 (54.346)	Prec@5 75.781 (85.001)
Test: [160/286]	Time 0.323 (0.557)	Loss 2.5524 (1.7128)	Prec@1 30.469 (54.566)	Prec@5 72.656 (85.054)
Test: [170/286]	Time 0.288 (0.555)	Loss 1.9162 (1.7036)	Prec@1 42.188 (54.637)	Prec@5 84.375 (85.179)
Test: [180/286]	Time 0.238 (0.551)	Loss 1.7061 (1.7112)	Prec@1 60.156 (54.454)	Prec@5 82.812 (85.066)
Test: [190/286]	Time 0.481 (0.556)	Loss 2.8214 (1.7285)	Prec@1 21.094 (53.955)	Prec@5 74.219 (84.894)
Test: [200/286]	Time 0.409 (0.553)	Loss 1.8201 (1.7260)	Prec@1 57.031 (54.097)	Prec@5 86.719 (84.896)
Test: [210/286]	Time 0.232 (0.550)	Loss 1.7053 (1.7306)	Prec@1 55.469 (53.899)	Prec@5 84.375 (84.816)
Test: [220/286]	Time 0.243 (0.547)	Loss 2.5377 (1.7345)	Prec@1 27.344 (53.878)	Prec@5 77.344 (84.683)
Test: [230/286]	Time 0.591 (0.554)	Loss 1.2160 (1.7322)	Prec@1 67.969 (53.977)	Prec@5 89.844 (84.679)
Test: [240/286]	Time 0.265 (0.552)	Loss 1.8649 (1.7286)	Prec@1 55.469 (54.143)	Prec@5 82.031 (84.722)
Test: [250/286]	Time 0.326 (0.549)	Loss 1.7600 (1.7205)	Prec@1 53.906 (54.249)	Prec@5 82.031 (84.867)
Test: [260/286]	Time 0.230 (0.546)	Loss 1.5773 (1.7102)	Prec@1 57.031 (54.568)	Prec@5 86.719 (85.028)
Test: [270/286]	Time 0.316 (0.552)	Loss 1.1394 (1.7099)	Prec@1 71.094 (54.601)	Prec@5 92.969 (85.064)
Test: [280/286]	Time 0.224 (0.550)	Loss 1.6950 (1.6951)	Prec@1 60.938 (55.088)	Prec@5 89.844 (85.190)
 * Prec@1 55.195 Prec@5 85.201
Epoch: [71][0/14090]	Time 7.951 (7.951)	Data 7.200 (7.200)	Loss 1.7552 (1.7552)	Prec@1 53.125 (53.125)	Prec@5 84.375 (84.375)
Epoch: [71][10/14090]	Time 0.721 (1.405)	Data 0.001 (0.655)	Loss 1.7809 (1.7042)	Prec@1 55.469 (55.114)	Prec@5 82.031 (83.239)
Epoch: [71][20/14090]	Time 0.722 (1.091)	Data 0.001 (0.344)	Loss 1.8210 (1.7346)	Prec@1 56.250 (54.799)	Prec@5 80.469 (82.961)
Epoch: [71][30/14090]	Time 0.748 (0.986)	Data 0.001 (0.233)	Loss 2.0156 (1.7600)	Prec@1 46.094 (53.831)	Prec@5 78.906 (82.586)
Epoch: [71][40/14090]	Time 0.754 (0.930)	Data 0.001 (0.177)	Loss 1.7377 (1.7831)	Prec@1 59.375 (53.449)	Prec@5 85.938 (82.450)
Epoch: [71][50/14090]	Time 0.915 (0.900)	Data 0.001 (0.142)	Loss 1.5724 (1.7805)	Prec@1 60.156 (53.722)	Prec@5 87.500 (82.521)
Epoch: [71][60/14090]	Time 0.723 (0.877)	Data 0.001 (0.119)	Loss 2.0171 (1.7906)	Prec@1 47.656 (53.432)	Prec@5 78.906 (82.351)
Epoch: [71][70/14090]	Time 0.739 (0.860)	Data 0.001 (0.102)	Loss 1.9768 (1.8020)	Prec@1 42.188 (53.048)	Prec@5 80.469 (82.229)
Epoch: [71][80/14090]	Time 0.752 (0.850)	Data 0.002 (0.090)	Loss 1.9336 (1.8191)	Prec@1 50.000 (52.701)	Prec@5 78.125 (81.954)
Epoch: [71][90/14090]	Time 0.754 (0.840)	Data 0.001 (0.080)	Loss 1.5668 (1.8201)	Prec@1 53.125 (52.601)	Prec@5 85.156 (81.799)
Epoch: [71][100/14090]	Time 0.726 (0.832)	Data 0.001 (0.072)	Loss 1.6213 (1.8225)	Prec@1 56.250 (52.468)	Prec@5 86.719 (81.784)
Epoch: [71][110/14090]	Time 0.756 (0.826)	Data 0.001 (0.066)	Loss 1.8723 (1.8283)	Prec@1 51.562 (52.330)	Prec@5 78.906 (81.729)
Epoch: [71][120/14090]	Time 0.883 (0.822)	Data 0.001 (0.060)	Loss 1.6685 (1.8325)	Prec@1 51.562 (52.208)	Prec@5 84.375 (81.624)
Epoch: [71][130/14090]	Time 0.745 (0.817)	Data 0.001 (0.056)	Loss 2.2267 (1.8326)	Prec@1 44.531 (52.159)	Prec@5 74.219 (81.638)
Epoch: [71][140/14090]	Time 0.765 (0.814)	Data 0.001 (0.052)	Loss 1.8187 (1.8351)	Prec@1 52.344 (52.094)	Prec@5 84.375 (81.649)
Epoch: [71][150/14090]	Time 0.738 (0.811)	Data 0.001 (0.049)	Loss 1.6299 (1.8399)	Prec@1 54.688 (51.909)	Prec@5 85.938 (81.535)
Epoch: [71][160/14090]	Time 0.728 (0.808)	Data 0.001 (0.046)	Loss 1.6558 (1.8344)	Prec@1 56.250 (51.985)	Prec@5 90.625 (81.682)
Epoch: [71][170/14090]	Time 0.744 (0.807)	Data 0.001 (0.043)	Loss 1.5984 (1.8321)	Prec@1 56.250 (52.161)	Prec@5 85.156 (81.666)
Epoch: [71][180/14090]	Time 0.729 (0.804)	Data 0.001 (0.041)	Loss 1.6289 (1.8330)	Prec@1 53.906 (52.150)	Prec@5 86.719 (81.669)
Epoch: [71][190/14090]	Time 0.896 (0.802)	Data 0.001 (0.039)	Loss 1.9064 (1.8332)	Prec@1 46.094 (52.127)	Prec@5 76.562 (81.626)
Epoch: [71][200/14090]	Time 0.733 (0.801)	Data 0.001 (0.037)	Loss 1.9771 (1.8314)	Prec@1 45.312 (52.122)	Prec@5 82.812 (81.627)
Epoch: [71][210/14090]	Time 0.718 (0.799)	Data 0.001 (0.035)	Loss 1.7887 (1.8329)	Prec@1 52.344 (52.055)	Prec@5 80.469 (81.602)
Epoch: [71][220/14090]	Time 0.736 (0.797)	Data 0.001 (0.034)	Loss 1.9657 (1.8304)	Prec@1 52.344 (52.139)	Prec@5 82.031 (81.646)
Epoch: [71][230/14090]	Time 0.763 (0.796)	Data 0.001 (0.032)	Loss 1.5255 (1.8309)	Prec@1 57.031 (52.100)	Prec@5 88.281 (81.663)
Epoch: [71][240/14090]	Time 0.736 (0.795)	Data 0.001 (0.031)	Loss 1.9272 (1.8303)	Prec@1 54.688 (52.094)	Prec@5 82.031 (81.645)
Epoch: [71][250/14090]	Time 0.752 (0.794)	Data 0.001 (0.030)	Loss 1.7610 (1.8313)	Prec@1 57.031 (52.039)	Prec@5 80.469 (81.658)
Epoch: [71][260/14090]	Time 0.869 (0.793)	Data 0.001 (0.029)	Loss 1.8259 (1.8327)	Prec@1 53.125 (52.006)	Prec@5 80.469 (81.621)
Epoch: [71][270/14090]	Time 0.749 (0.792)	Data 0.001 (0.028)	Loss 1.6440 (1.8302)	Prec@1 57.031 (52.053)	Prec@5 83.594 (81.723)
Epoch: [71][280/14090]	Time 0.756 (0.791)	Data 0.001 (0.027)	Loss 1.9756 (1.8312)	Prec@1 51.562 (51.980)	Prec@5 83.594 (81.739)
Epoch: [71][290/14090]	Time 0.758 (0.791)	Data 0.001 (0.026)	Loss 1.9361 (1.8321)	Prec@1 42.188 (51.898)	Prec@5 82.031 (81.723)
Epoch: [71][300/14090]	Time 0.737 (0.790)	Data 0.001 (0.025)	Loss 1.6054 (1.8296)	Prec@1 59.375 (51.973)	Prec@5 82.812 (81.785)
Epoch: [71][310/14090]	Time 0.744 (0.790)	Data 0.001 (0.024)	Loss 1.8350 (1.8296)	Prec@1 53.906 (51.980)	Prec@5 79.688 (81.752)
Epoch: [71][320/14090]	Time 0.750 (0.789)	Data 0.001 (0.023)	Loss 1.6272 (1.8303)	Prec@1 58.594 (51.940)	Prec@5 84.375 (81.708)
Epoch: [71][330/14090]	Time 0.882 (0.788)	Data 0.001 (0.023)	Loss 1.8162 (1.8300)	Prec@1 50.781 (51.959)	Prec@5 84.375 (81.694)
Epoch: [71][340/14090]	Time 0.758 (0.788)	Data 0.001 (0.022)	Loss 1.6999 (1.8311)	Prec@1 57.812 (51.950)	Prec@5 81.250 (81.635)
Epoch: [71][350/14090]	Time 0.735 (0.787)	Data 0.001 (0.021)	Loss 1.8259 (1.8299)	Prec@1 49.219 (52.012)	Prec@5 82.031 (81.642)
Epoch: [71][360/14090]	Time 0.747 (0.787)	Data 0.001 (0.021)	Loss 1.9637 (1.8319)	Prec@1 44.531 (51.954)	Prec@5 80.469 (81.616)
Epoch: [71][370/14090]	Time 0.769 (0.786)	Data 0.001 (0.020)	Loss 1.7492 (1.8338)	Prec@1 55.469 (51.975)	Prec@5 81.250 (81.553)
Epoch: [71][380/14090]	Time 0.748 (0.786)	Data 0.001 (0.020)	Loss 1.7391 (1.8334)	Prec@1 55.469 (52.005)	Prec@5 84.375 (81.547)
Epoch: [71][390/14090]	Time 0.721 (0.785)	Data 0.001 (0.019)	Loss 1.6534 (1.8333)	Prec@1 53.906 (51.990)	Prec@5 81.250 (81.520)
Epoch: [71][400/14090]	Time 0.883 (0.785)	Data 0.001 (0.019)	Loss 1.7079 (1.8327)	Prec@1 57.031 (51.979)	Prec@5 82.812 (81.509)
Epoch: [71][410/14090]	Time 0.756 (0.784)	Data 0.001 (0.018)	Loss 1.7803 (1.8308)	Prec@1 50.000 (52.019)	Prec@5 84.375 (81.552)
Epoch: [71][420/14090]	Time 0.763 (0.784)	Data 0.001 (0.018)	Loss 1.8270 (1.8324)	Prec@1 52.344 (51.997)	Prec@5 76.562 (81.510)
Epoch: [71][430/14090]	Time 0.742 (0.783)	Data 0.001 (0.018)	Loss 1.6722 (1.8318)	Prec@1 57.031 (52.023)	Prec@5 79.688 (81.516)
Epoch: [71][440/14090]	Time 0.744 (0.783)	Data 0.001 (0.017)	Loss 1.7409 (1.8303)	Prec@1 58.594 (52.094)	Prec@5 87.500 (81.555)
Epoch: [71][450/14090]	Time 0.764 (0.783)	Data 0.001 (0.017)	Loss 1.7614 (1.8316)	Prec@1 60.156 (52.086)	Prec@5 83.594 (81.558)
Epoch: [71][460/14090]	Time 0.757 (0.783)	Data 0.001 (0.017)	Loss 1.6839 (1.8307)	Prec@1 54.688 (52.105)	Prec@5 82.812 (81.558)
Epoch: [71][470/14090]	Time 0.851 (0.782)	Data 0.001 (0.016)	Loss 1.8264 (1.8301)	Prec@1 50.781 (52.102)	Prec@5 82.031 (81.577)
Epoch: [71][480/14090]	Time 0.723 (0.782)	Data 0.002 (0.016)	Loss 1.7880 (1.8306)	Prec@1 49.219 (52.079)	Prec@5 78.125 (81.583)
Epoch: [71][490/14090]	Time 0.725 (0.782)	Data 0.001 (0.016)	Loss 1.8766 (1.8319)	Prec@1 54.688 (52.026)	Prec@5 79.688 (81.560)
Epoch: [71][500/14090]	Time 0.732 (0.782)	Data 0.001 (0.015)	Loss 1.6158 (1.8315)	Prec@1 61.719 (52.037)	Prec@5 85.156 (81.568)
Epoch: [71][510/14090]	Time 0.758 (0.781)	Data 0.001 (0.015)	Loss 1.9311 (1.8317)	Prec@1 50.781 (52.027)	Prec@5 81.250 (81.566)
Epoch: [71][520/14090]	Time 0.752 (0.781)	Data 0.001 (0.015)	Loss 1.8446 (1.8329)	Prec@1 53.906 (52.005)	Prec@5 79.688 (81.557)
Epoch: [71][530/14090]	Time 0.741 (0.781)	Data 0.001 (0.014)	Loss 2.0169 (1.8341)	Prec@1 42.969 (51.948)	Prec@5 78.125 (81.538)
Epoch: [71][540/14090]	Time 0.909 (0.781)	Data 0.001 (0.014)	Loss 1.8333 (1.8331)	Prec@1 53.906 (51.986)	Prec@5 82.812 (81.556)
Epoch: [71][550/14090]	Time 0.731 (0.780)	Data 0.001 (0.014)	Loss 1.8523 (1.8324)	Prec@1 53.125 (51.991)	Prec@5 78.906 (81.542)
Epoch: [71][560/14090]	Time 0.737 (0.780)	Data 0.001 (0.014)	Loss 1.5006 (1.8325)	Prec@1 57.812 (51.991)	Prec@5 86.719 (81.531)
Epoch: [71][570/14090]	Time 0.741 (0.780)	Data 0.001 (0.014)	Loss 1.7373 (1.8326)	Prec@1 57.812 (52.002)	Prec@5 82.812 (81.530)
Epoch: [71][580/14090]	Time 0.771 (0.780)	Data 0.001 (0.013)	Loss 1.7159 (1.8323)	Prec@1 56.250 (52.021)	Prec@5 85.938 (81.536)
Epoch: [71][590/14090]	Time 0.757 (0.780)	Data 0.001 (0.013)	Loss 1.7110 (1.8305)	Prec@1 54.688 (52.052)	Prec@5 85.156 (81.577)
Epoch: [71][600/14090]	Time 0.731 (0.780)	Data 0.001 (0.013)	Loss 1.7236 (1.8296)	Prec@1 52.344 (52.054)	Prec@5 82.812 (81.572)
Epoch: [71][610/14090]	Time 0.863 (0.780)	Data 0.001 (0.013)	Loss 1.9046 (1.8311)	Prec@1 57.031 (52.042)	Prec@5 78.906 (81.542)
Epoch: [71][620/14090]	Time 0.724 (0.779)	Data 0.001 (0.013)	Loss 1.9312 (1.8316)	Prec@1 53.125 (52.033)	Prec@5 79.688 (81.531)
Epoch: [71][630/14090]	Time 0.780 (0.779)	Data 0.001 (0.012)	Loss 2.1162 (1.8315)	Prec@1 50.781 (52.047)	Prec@5 74.219 (81.531)
Epoch: [71][640/14090]	Time 0.775 (0.779)	Data 0.001 (0.012)	Loss 1.8666 (1.8310)	Prec@1 46.875 (52.038)	Prec@5 83.594 (81.562)
Epoch: [71][650/14090]	Time 0.758 (0.779)	Data 0.001 (0.012)	Loss 1.6431 (1.8298)	Prec@1 56.250 (52.065)	Prec@5 84.375 (81.579)
Epoch: [71][660/14090]	Time 0.732 (0.779)	Data 0.001 (0.012)	Loss 1.7905 (1.8286)	Prec@1 50.000 (52.099)	Prec@5 81.250 (81.589)
Epoch: [71][670/14090]	Time 0.758 (0.779)	Data 0.001 (0.012)	Loss 1.8749 (1.8294)	Prec@1 53.125 (52.069)	Prec@5 80.469 (81.570)
Epoch: [71][680/14090]	Time 0.984 (0.779)	Data 0.001 (0.012)	Loss 1.7737 (1.8279)	Prec@1 51.562 (52.076)	Prec@5 81.250 (81.585)
Epoch: [71][690/14090]	Time 0.754 (0.778)	Data 0.001 (0.011)	Loss 1.8831 (1.8274)	Prec@1 49.219 (52.093)	Prec@5 83.594 (81.608)
Epoch: [71][700/14090]	Time 0.754 (0.778)	Data 0.001 (0.011)	Loss 1.8688 (1.8273)	Prec@1 50.000 (52.082)	Prec@5 79.688 (81.609)
Epoch: [71][710/14090]	Time 0.735 (0.778)	Data 0.001 (0.011)	Loss 2.0739 (1.8283)	Prec@1 44.531 (52.050)	Prec@5 78.125 (81.588)
Epoch: [71][720/14090]	Time 0.761 (0.778)	Data 0.001 (0.011)	Loss 1.7930 (1.8282)	Prec@1 52.344 (52.083)	Prec@5 84.375 (81.602)
Epoch: [71][730/14090]	Time 0.752 (0.778)	Data 0.001 (0.011)	Loss 1.6083 (1.8268)	Prec@1 59.375 (52.125)	Prec@5 79.688 (81.611)
Epoch: [71][740/14090]	Time 0.738 (0.777)	Data 0.001 (0.011)	Loss 2.0584 (1.8273)	Prec@1 50.781 (52.143)	Prec@5 72.656 (81.595)
Epoch: [71][750/14090]	Time 0.869 (0.777)	Data 0.001 (0.011)	Loss 1.7808 (1.8264)	Prec@1 52.344 (52.160)	Prec@5 82.812 (81.604)
Epoch: [71][760/14090]	Time 0.763 (0.777)	Data 0.001 (0.010)	Loss 1.8288 (1.8272)	Prec@1 50.781 (52.154)	Prec@5 79.688 (81.582)
Epoch: [71][770/14090]	Time 0.729 (0.777)	Data 0.001 (0.010)	Loss 1.9412 (1.8270)	Prec@1 47.656 (52.153)	Prec@5 81.250 (81.588)
Epoch: [71][780/14090]	Time 0.745 (0.776)	Data 0.001 (0.010)	Loss 1.9333 (1.8277)	Prec@1 53.125 (52.136)	Prec@5 82.031 (81.580)
Epoch: [71][790/14090]	Time 0.726 (0.776)	Data 0.001 (0.010)	Loss 1.9163 (1.8283)	Prec@1 50.000 (52.116)	Prec@5 76.562 (81.574)
Epoch: [71][800/14090]	Time 0.752 (0.776)	Data 0.001 (0.010)	Loss 1.9138 (1.8278)	Prec@1 47.656 (52.089)	Prec@5 82.031 (81.610)
Epoch: [71][810/14090]	Time 0.747 (0.776)	Data 0.001 (0.010)	Loss 1.9109 (1.8284)	Prec@1 53.906 (52.092)	Prec@5 78.906 (81.584)
Epoch: [71][820/14090]	Time 0.873 (0.776)	Data 0.001 (0.010)	Loss 1.9354 (1.8288)	Prec@1 54.688 (52.088)	Prec@5 81.250 (81.573)
Epoch: [71][830/14090]	Time 0.727 (0.775)	Data 0.001 (0.010)	Loss 1.8870 (1.8292)	Prec@1 48.438 (52.098)	Prec@5 77.344 (81.568)
Epoch: [71][840/14090]	Time 0.738 (0.775)	Data 0.001 (0.009)	Loss 1.8010 (1.8295)	Prec@1 53.906 (52.080)	Prec@5 79.688 (81.555)
Epoch: [71][850/14090]	Time 0.731 (0.775)	Data 0.001 (0.009)	Loss 1.8370 (1.8296)	Prec@1 50.000 (52.077)	Prec@5 79.688 (81.550)
Epoch: [71][860/14090]	Time 0.743 (0.775)	Data 0.001 (0.009)	Loss 1.6839 (1.8296)	Prec@1 49.219 (52.074)	Prec@5 84.375 (81.539)
Epoch: [71][870/14090]	Time 0.759 (0.775)	Data 0.001 (0.009)	Loss 2.1148 (1.8297)	Prec@1 48.438 (52.074)	Prec@5 77.344 (81.528)
Epoch: [71][880/14090]	Time 0.769 (0.775)	Data 0.001 (0.009)	Loss 1.8426 (1.8306)	Prec@1 53.125 (52.056)	Prec@5 80.469 (81.506)
Epoch: [71][890/14090]	Time 0.831 (0.775)	Data 0.001 (0.009)	Loss 1.7270 (1.8308)	Prec@1 49.219 (52.054)	Prec@5 83.594 (81.513)
Epoch: [71][900/14090]	Time 0.738 (0.774)	Data 0.001 (0.009)	Loss 1.7102 (1.8305)	Prec@1 53.125 (52.045)	Prec@5 86.719 (81.540)
Epoch: [71][910/14090]	Time 0.755 (0.774)	Data 0.001 (0.009)	Loss 1.7195 (1.8301)	Prec@1 56.250 (52.051)	Prec@5 84.375 (81.549)
Epoch: [71][920/14090]	Time 0.735 (0.774)	Data 0.001 (0.009)	Loss 1.6981 (1.8306)	Prec@1 59.375 (52.034)	Prec@5 79.688 (81.532)
Epoch: [71][930/14090]	Time 0.754 (0.774)	Data 0.001 (0.009)	Loss 1.8355 (1.8310)	Prec@1 48.438 (52.036)	Prec@5 81.250 (81.525)
Epoch: [71][940/14090]	Time 0.731 (0.774)	Data 0.001 (0.009)	Loss 1.8153 (1.8312)	Prec@1 50.781 (52.020)	Prec@5 81.250 (81.529)
Epoch: [71][950/14090]	Time 0.753 (0.773)	Data 0.001 (0.008)	Loss 2.0851 (1.8318)	Prec@1 47.656 (52.037)	Prec@5 78.906 (81.523)
Epoch: [71][960/14090]	Time 0.848 (0.773)	Data 0.001 (0.008)	Loss 2.2821 (1.8321)	Prec@1 39.844 (52.028)	Prec@5 77.344 (81.527)
Epoch: [71][970/14090]	Time 0.727 (0.773)	Data 0.001 (0.008)	Loss 1.9947 (1.8316)	Prec@1 50.000 (52.041)	Prec@5 79.688 (81.545)
Epoch: [71][980/14090]	Time 0.746 (0.773)	Data 0.001 (0.008)	Loss 1.6128 (1.8322)	Prec@1 59.375 (52.031)	Prec@5 82.812 (81.534)
Epoch: [71][990/14090]	Time 0.753 (0.773)	Data 0.001 (0.008)	Loss 1.7319 (1.8329)	Prec@1 53.906 (52.024)	Prec@5 78.906 (81.521)
Epoch: [71][1000/14090]	Time 0.724 (0.773)	Data 0.001 (0.008)	Loss 2.0904 (1.8333)	Prec@1 42.188 (52.004)	Prec@5 78.906 (81.516)
Epoch: [71][1010/14090]	Time 0.758 (0.773)	Data 0.001 (0.008)	Loss 2.0210 (1.8334)	Prec@1 43.750 (51.985)	Prec@5 79.688 (81.522)
Epoch: [71][1020/14090]	Time 0.749 (0.773)	Data 0.001 (0.008)	Loss 1.5453 (1.8326)	Prec@1 60.156 (51.998)	Prec@5 88.281 (81.530)
Epoch: [71][1030/14090]	Time 0.850 (0.772)	Data 0.001 (0.008)	Loss 1.9927 (1.8329)	Prec@1 46.875 (51.994)	Prec@5 80.469 (81.515)
Epoch: [71][1040/14090]	Time 0.732 (0.772)	Data 0.001 (0.008)	Loss 1.7791 (1.8331)	Prec@1 50.000 (51.972)	Prec@5 82.812 (81.513)
Epoch: [71][1050/14090]	Time 0.777 (0.772)	Data 0.001 (0.008)	Loss 1.7480 (1.8332)	Prec@1 57.031 (51.974)	Prec@5 85.156 (81.509)
Epoch: [71][1060/14090]	Time 0.740 (0.772)	Data 0.001 (0.008)	Loss 1.9582 (1.8331)	Prec@1 49.219 (51.986)	Prec@5 75.781 (81.497)
Epoch: [71][1070/14090]	Time 0.727 (0.772)	Data 0.001 (0.008)	Loss 2.2455 (1.8332)	Prec@1 40.625 (51.986)	Prec@5 75.000 (81.497)
Epoch: [71][1080/14090]	Time 0.750 (0.772)	Data 0.001 (0.008)	Loss 1.8580 (1.8339)	Prec@1 55.469 (51.980)	Prec@5 78.906 (81.489)
Epoch: [71][1090/14090]	Time 0.736 (0.772)	Data 0.001 (0.007)	Loss 1.8258 (1.8335)	Prec@1 57.812 (51.984)	Prec@5 81.250 (81.495)
Epoch: [71][1100/14090]	Time 0.844 (0.772)	Data 0.001 (0.007)	Loss 1.9192 (1.8336)	Prec@1 48.438 (51.980)	Prec@5 77.344 (81.496)
Epoch: [71][1110/14090]	Time 0.725 (0.772)	Data 0.001 (0.007)	Loss 1.7069 (1.8337)	Prec@1 55.469 (51.973)	Prec@5 84.375 (81.492)
Epoch: [71][1120/14090]	Time 0.743 (0.771)	Data 0.001 (0.007)	Loss 2.0615 (1.8338)	Prec@1 49.219 (51.988)	Prec@5 75.781 (81.496)
Epoch: [71][1130/14090]	Time 0.769 (0.771)	Data 0.001 (0.007)	Loss 1.6320 (1.8332)	Prec@1 55.469 (51.998)	Prec@5 84.375 (81.515)
Epoch: [71][1140/14090]	Time 0.729 (0.771)	Data 0.001 (0.007)	Loss 1.7048 (1.8330)	Prec@1 53.125 (51.992)	Prec@5 83.594 (81.512)
Epoch: [71][1150/14090]	Time 0.752 (0.771)	Data 0.001 (0.007)	Loss 1.8110 (1.8328)	Prec@1 48.438 (51.992)	Prec@5 82.031 (81.508)
Epoch: [71][1160/14090]	Time 0.736 (0.771)	Data 0.001 (0.007)	Loss 1.8011 (1.8332)	Prec@1 57.031 (51.984)	Prec@5 81.250 (81.503)
Epoch: [71][1170/14090]	Time 0.862 (0.771)	Data 0.001 (0.007)	Loss 1.6917 (1.8328)	Prec@1 53.125 (51.997)	Prec@5 88.281 (81.504)
Epoch: [71][1180/14090]	Time 0.731 (0.771)	Data 0.001 (0.007)	Loss 2.0116 (1.8329)	Prec@1 46.094 (51.987)	Prec@5 78.906 (81.503)
Epoch: [71][1190/14090]	Time 0.720 (0.771)	Data 0.001 (0.007)	Loss 2.1967 (1.8333)	Prec@1 47.656 (51.979)	Prec@5 77.344 (81.499)
Epoch: [71][1200/14090]	Time 0.728 (0.771)	Data 0.001 (0.007)	Loss 1.8817 (1.8328)	Prec@1 50.781 (51.986)	Prec@5 85.156 (81.512)
Epoch: [71][1210/14090]	Time 0.759 (0.771)	Data 0.001 (0.007)	Loss 1.7288 (1.8323)	Prec@1 57.031 (52.011)	Prec@5 82.812 (81.516)
Epoch: [71][1220/14090]	Time 0.741 (0.771)	Data 0.001 (0.007)	Loss 1.8497 (1.8324)	Prec@1 57.031 (52.009)	Prec@5 85.156 (81.517)
Epoch: [71][1230/14090]	Time 0.732 (0.771)	Data 0.001 (0.007)	Loss 1.8959 (1.8322)	Prec@1 47.656 (52.005)	Prec@5 82.812 (81.521)
Epoch: [71][1240/14090]	Time 0.850 (0.772)	Data 0.001 (0.008)	Loss 1.8087 (1.8327)	Prec@1 48.438 (52.006)	Prec@5 85.156 (81.510)
Epoch: [71][1250/14090]	Time 2.457 (0.775)	Data 1.784 (0.012)	Loss 1.8216 (1.8325)	Prec@1 51.562 (52.015)	Prec@5 80.469 (81.512)
Epoch: [71][1260/14090]	Time 0.719 (0.779)	Data 0.001 (0.016)	Loss 1.6783 (1.8319)	Prec@1 56.250 (52.021)	Prec@5 82.812 (81.523)
Epoch: [71][1270/14090]	Time 1.732 (0.784)	Data 1.057 (0.022)	Loss 1.7893 (1.8320)	Prec@1 57.812 (52.033)	Prec@5 78.125 (81.513)
Epoch: [71][1280/14090]	Time 1.517 (0.789)	Data 0.825 (0.026)	Loss 1.6285 (1.8317)	Prec@1 60.156 (52.038)	Prec@5 84.375 (81.523)
Epoch: [71][1290/14090]	Time 4.013 (0.795)	Data 3.327 (0.033)	Loss 2.1401 (1.8319)	Prec@1 50.781 (52.033)	Prec@5 75.781 (81.519)
Epoch: [71][1300/14090]	Time 0.722 (0.799)	Data 0.001 (0.038)	Loss 1.6140 (1.8316)	Prec@1 60.938 (52.053)	Prec@5 83.594 (81.527)
Epoch: [71][1310/14090]	Time 0.829 (0.806)	Data 0.001 (0.045)	Loss 1.8018 (1.8314)	Prec@1 53.125 (52.055)	Prec@5 82.812 (81.532)
Epoch: [71][1320/14090]	Time 1.965 (0.812)	Data 1.276 (0.051)	Loss 2.0267 (1.8320)	Prec@1 45.312 (52.021)	Prec@5 78.125 (81.526)
Epoch: [71][1330/14090]	Time 3.973 (0.821)	Data 3.263 (0.060)	Loss 2.2589 (1.8332)	Prec@1 45.312 (52.002)	Prec@5 77.344 (81.505)
Epoch: [71][1340/14090]	Time 3.044 (0.827)	Data 2.352 (0.067)	Loss 1.6603 (1.8329)	Prec@1 54.688 (52.007)	Prec@5 85.156 (81.513)
Epoch: [71][1350/14090]	Time 3.402 (0.836)	Data 2.711 (0.076)	Loss 1.9054 (1.8328)	Prec@1 53.125 (52.008)	Prec@5 78.906 (81.514)
Epoch: [71][1360/14090]	Time 0.722 (0.842)	Data 0.001 (0.083)	Loss 1.8142 (1.8329)	Prec@1 53.125 (52.014)	Prec@5 81.250 (81.504)
Epoch: [71][1370/14090]	Time 0.814 (0.850)	Data 0.119 (0.090)	Loss 1.8828 (1.8328)	Prec@1 50.000 (52.017)	Prec@5 82.812 (81.506)
Epoch: [71][1380/14090]	Time 0.833 (0.862)	Data 0.001 (0.103)	Loss 1.9125 (1.8329)	Prec@1 51.562 (52.002)	Prec@5 76.562 (81.502)
Epoch: [71][1390/14090]	Time 0.862 (0.871)	Data 0.184 (0.112)	Loss 2.0014 (1.8332)	Prec@1 50.000 (51.993)	Prec@5 80.469 (81.497)
Epoch: [71][1400/14090]	Time 0.721 (0.879)	Data 0.001 (0.120)	Loss 1.8358 (1.8332)	Prec@1 50.000 (51.995)	Prec@5 78.906 (81.500)
Epoch: [71][1410/14090]	Time 0.722 (0.885)	Data 0.001 (0.127)	Loss 1.7660 (1.8327)	Prec@1 56.250 (52.003)	Prec@5 78.906 (81.512)
Epoch: [71][1420/14090]	Time 0.719 (0.898)	Data 0.001 (0.140)	Loss 1.9545 (1.8325)	Prec@1 48.438 (52.011)	Prec@5 82.031 (81.518)
Epoch: [71][1430/14090]	Time 0.735 (0.907)	Data 0.037 (0.149)	Loss 1.8797 (1.8326)	Prec@1 47.656 (52.006)	Prec@5 77.344 (81.512)
Epoch: [71][1440/14090]	Time 1.426 (0.915)	Data 0.726 (0.158)	Loss 1.7899 (1.8323)	Prec@1 49.219 (52.005)	Prec@5 82.812 (81.511)
Epoch: [71][1450/14090]	Time 4.346 (0.925)	Data 3.559 (0.167)	Loss 2.0289 (1.8325)	Prec@1 45.312 (52.001)	Prec@5 78.906 (81.506)
Epoch: [71][1460/14090]	Time 3.907 (0.936)	Data 3.209 (0.179)	Loss 1.8474 (1.8325)	Prec@1 51.562 (52.005)	Prec@5 83.594 (81.512)
Epoch: [71][1470/14090]	Time 0.721 (0.942)	Data 0.001 (0.186)	Loss 1.9832 (1.8323)	Prec@1 53.906 (52.016)	Prec@5 78.125 (81.509)
Epoch: [71][1480/14090]	Time 0.718 (0.950)	Data 0.001 (0.193)	Loss 1.7366 (1.8320)	Prec@1 55.469 (52.031)	Prec@5 84.375 (81.516)
Epoch: [71][1490/14090]	Time 2.174 (0.956)	Data 1.484 (0.200)	Loss 1.7840 (1.8315)	Prec@1 54.688 (52.034)	Prec@5 82.812 (81.526)
Epoch: [71][1500/14090]	Time 3.908 (0.966)	Data 3.218 (0.210)	Loss 1.7084 (1.8313)	Prec@1 53.125 (52.039)	Prec@5 84.375 (81.533)
Epoch: [71][1510/14090]	Time 3.826 (0.976)	Data 3.143 (0.220)	Loss 1.8751 (1.8313)	Prec@1 55.469 (52.040)	Prec@5 80.469 (81.534)
Epoch: [71][1520/14090]	Time 0.827 (0.982)	Data 0.001 (0.227)	Loss 2.0485 (1.8314)	Prec@1 50.781 (52.043)	Prec@5 76.562 (81.533)
Epoch: [71][1530/14090]	Time 0.929 (0.988)	Data 0.240 (0.233)	Loss 1.7008 (1.8311)	Prec@1 55.469 (52.057)	Prec@5 81.250 (81.532)
Epoch: [71][1540/14090]	Time 3.642 (0.997)	Data 2.934 (0.242)	Loss 1.5540 (1.8306)	Prec@1 62.500 (52.083)	Prec@5 85.938 (81.543)
Epoch: [71][1550/14090]	Time 4.251 (1.005)	Data 3.562 (0.250)	Loss 1.8004 (1.8311)	Prec@1 50.781 (52.080)	Prec@5 81.250 (81.537)
Epoch: [71][1560/14090]	Time 1.588 (1.010)	Data 0.918 (0.256)	Loss 1.8152 (1.8313)	Prec@1 52.344 (52.058)	Prec@5 81.250 (81.535)
Epoch: [71][1570/14090]	Time 0.720 (1.020)	Data 0.001 (0.266)	Loss 2.0316 (1.8318)	Prec@1 50.781 (52.041)	Prec@5 77.344 (81.528)
Epoch: [71][1580/14090]	Time 2.680 (1.028)	Data 1.981 (0.274)	Loss 1.9900 (1.8316)	Prec@1 46.875 (52.049)	Prec@5 79.688 (81.530)
Epoch: [71][1590/14090]	Time 2.545 (1.036)	Data 1.775 (0.282)	Loss 1.8532 (1.8311)	Prec@1 59.375 (52.060)	Prec@5 81.250 (81.536)
Epoch: [71][1600/14090]	Time 0.755 (1.042)	Data 0.085 (0.289)	Loss 1.7639 (1.8310)	Prec@1 57.031 (52.059)	Prec@5 83.594 (81.536)
Epoch: [71][1610/14090]	Time 0.714 (1.051)	Data 0.001 (0.298)	Loss 1.6521 (1.8307)	Prec@1 49.219 (52.055)	Prec@5 84.375 (81.541)
Epoch: [71][1620/14090]	Time 1.675 (1.058)	Data 1.006 (0.305)	Loss 2.0335 (1.8309)	Prec@1 45.312 (52.048)	Prec@5 78.906 (81.540)
Epoch: [71][1630/14090]	Time 0.717 (1.062)	Data 0.001 (0.310)	Loss 2.0749 (1.8307)	Prec@1 45.312 (52.061)	Prec@5 74.219 (81.546)
Epoch: [71][1640/14090]	Time 2.453 (1.069)	Data 1.763 (0.317)	Loss 2.0963 (1.8310)	Prec@1 42.969 (52.049)	Prec@5 81.250 (81.546)
Epoch: [71][1650/14090]	Time 2.429 (1.077)	Data 1.751 (0.325)	Loss 1.7723 (1.8308)	Prec@1 51.562 (52.042)	Prec@5 82.812 (81.551)
Epoch: [71][1660/14090]	Time 2.066 (1.083)	Data 1.251 (0.332)	Loss 1.6663 (1.8308)	Prec@1 52.344 (52.038)	Prec@5 82.812 (81.553)
Epoch: [71][1670/14090]	Time 0.717 (1.089)	Data 0.001 (0.337)	Loss 1.6269 (1.8305)	Prec@1 57.812 (52.044)	Prec@5 85.938 (81.555)
Epoch: [71][1680/14090]	Time 1.701 (1.096)	Data 1.013 (0.345)	Loss 2.0257 (1.8306)	Prec@1 42.969 (52.034)	Prec@5 76.562 (81.548)
Epoch: [71][1690/14090]	Time 0.713 (1.102)	Data 0.001 (0.351)	Loss 1.9690 (1.8309)	Prec@1 53.125 (52.037)	Prec@5 77.344 (81.538)
Epoch: [71][1700/14090]	Time 1.886 (1.110)	Data 1.194 (0.359)	Loss 1.8192 (1.8313)	Prec@1 53.906 (52.025)	Prec@5 80.469 (81.532)
Epoch: [71][1710/14090]	Time 0.719 (1.116)	Data 0.001 (0.365)	Loss 2.2112 (1.8313)	Prec@1 44.531 (52.025)	Prec@5 76.562 (81.535)
Epoch: [71][1720/14090]	Time 0.717 (1.121)	Data 0.001 (0.371)	Loss 1.6931 (1.8316)	Prec@1 55.469 (52.026)	Prec@5 80.469 (81.530)
Epoch: [71][1730/14090]	Time 0.836 (1.127)	Data 0.001 (0.377)	Loss 2.0206 (1.8318)	Prec@1 45.312 (52.019)	Prec@5 74.219 (81.521)
Epoch: [71][1740/14090]	Time 2.122 (1.134)	Data 1.442 (0.384)	Loss 1.9165 (1.8321)	Prec@1 51.562 (52.018)	Prec@5 78.125 (81.511)
Epoch: [71][1750/14090]	Time 0.712 (1.139)	Data 0.001 (0.389)	Loss 1.8806 (1.8321)	Prec@1 53.125 (52.027)	Prec@5 78.906 (81.514)
Epoch: [71][1760/14090]	Time 3.260 (1.145)	Data 2.566 (0.396)	Loss 2.1773 (1.8322)	Prec@1 45.312 (52.030)	Prec@5 74.219 (81.517)
Epoch: [71][1770/14090]	Time 4.241 (1.154)	Data 3.555 (0.405)	Loss 2.0771 (1.8321)	Prec@1 45.312 (52.037)	Prec@5 73.438 (81.518)
Epoch: [71][1780/14090]	Time 2.040 (1.160)	Data 1.350 (0.411)	Loss 1.8570 (1.8322)	Prec@1 50.000 (52.029)	Prec@5 81.250 (81.518)
Epoch: [71][1790/14090]	Time 0.721 (1.164)	Data 0.001 (0.415)	Loss 1.6615 (1.8323)	Prec@1 56.250 (52.014)	Prec@5 83.594 (81.523)
Epoch: [71][1800/14090]	Time 2.704 (1.171)	Data 1.881 (0.422)	Loss 1.9292 (1.8322)	Prec@1 52.344 (52.021)	Prec@5 82.031 (81.530)
Epoch: [71][1810/14090]	Time 2.319 (1.175)	Data 1.642 (0.426)	Loss 1.6692 (1.8323)	Prec@1 57.812 (52.016)	Prec@5 85.938 (81.524)
Epoch: [71][1820/14090]	Time 0.726 (1.182)	Data 0.001 (0.434)	Loss 1.9162 (1.8325)	Prec@1 46.875 (52.013)	Prec@5 82.812 (81.522)
Epoch: [71][1830/14090]	Time 0.719 (1.186)	Data 0.001 (0.437)	Loss 2.0228 (1.8327)	Prec@1 53.125 (52.009)	Prec@5 76.562 (81.515)
Epoch: [71][1840/14090]	Time 2.279 (1.190)	Data 1.609 (0.442)	Loss 1.8046 (1.8323)	Prec@1 50.781 (52.019)	Prec@5 81.250 (81.518)
Epoch: [71][1850/14090]	Time 3.467 (1.197)	Data 2.766 (0.449)	Loss 2.0028 (1.8323)	Prec@1 50.000 (52.027)	Prec@5 83.594 (81.516)
Epoch: [71][1860/14090]	Time 0.719 (1.203)	Data 0.001 (0.456)	Loss 1.6891 (1.8325)	Prec@1 54.688 (52.025)	Prec@5 84.375 (81.509)
Epoch: [71][1870/14090]	Time 0.820 (1.207)	Data 0.001 (0.460)	Loss 2.1606 (1.8331)	Prec@1 43.750 (52.012)	Prec@5 74.219 (81.499)
Epoch: [71][1880/14090]	Time 1.553 (1.210)	Data 0.877 (0.463)	Loss 2.0383 (1.8332)	Prec@1 47.656 (52.012)	Prec@5 79.688 (81.496)
Epoch: [71][1890/14090]	Time 3.897 (1.216)	Data 3.196 (0.469)	Loss 1.8550 (1.8332)	Prec@1 53.125 (52.010)	Prec@5 85.156 (81.499)
Epoch: [71][1900/14090]	Time 0.723 (1.223)	Data 0.001 (0.476)	Loss 1.6939 (1.8331)	Prec@1 53.906 (52.010)	Prec@5 82.812 (81.502)
Epoch: [71][1910/14090]	Time 2.394 (1.228)	Data 1.697 (0.481)	Loss 1.8810 (1.8333)	Prec@1 50.781 (52.010)	Prec@5 82.031 (81.498)
Epoch: [71][1920/14090]	Time 1.584 (1.231)	Data 0.890 (0.485)	Loss 1.6585 (1.8330)	Prec@1 50.781 (52.017)	Prec@5 84.375 (81.505)
Epoch: [71][1930/14090]	Time 6.268 (1.237)	Data 5.575 (0.490)	Loss 1.8931 (1.8329)	Prec@1 49.219 (52.014)	Prec@5 82.031 (81.506)
Epoch: [71][1940/14090]	Time 3.412 (1.241)	Data 2.601 (0.495)	Loss 1.8976 (1.8328)	Prec@1 46.875 (52.015)	Prec@5 84.375 (81.508)
Epoch: [71][1950/14090]	Time 0.719 (1.245)	Data 0.001 (0.499)	Loss 1.7886 (1.8326)	Prec@1 47.656 (52.011)	Prec@5 79.688 (81.514)
Epoch: [71][1960/14090]	Time 0.717 (1.248)	Data 0.001 (0.502)	Loss 1.6685 (1.8324)	Prec@1 59.375 (52.027)	Prec@5 85.156 (81.519)
Epoch: [71][1970/14090]	Time 2.565 (1.253)	Data 1.894 (0.507)	Loss 1.8732 (1.8327)	Prec@1 49.219 (52.022)	Prec@5 81.250 (81.517)
Epoch: [71][1980/14090]	Time 1.618 (1.257)	Data 0.930 (0.512)	Loss 1.6563 (1.8331)	Prec@1 52.344 (52.009)	Prec@5 84.375 (81.508)
Epoch: [71][1990/14090]	Time 1.726 (1.263)	Data 1.032 (0.517)	Loss 1.6553 (1.8332)	Prec@1 54.688 (52.004)	Prec@5 84.375 (81.503)
Epoch: [71][2000/14090]	Time 0.720 (1.266)	Data 0.001 (0.521)	Loss 1.5305 (1.8330)	Prec@1 60.938 (52.005)	Prec@5 87.500 (81.511)
Epoch: [71][2010/14090]	Time 6.062 (1.271)	Data 5.225 (0.526)	Loss 2.0044 (1.8326)	Prec@1 46.094 (52.017)	Prec@5 76.562 (81.520)
Epoch: [71][2020/14090]	Time 1.074 (1.274)	Data 0.379 (0.529)	Loss 1.8827 (1.8326)	Prec@1 51.562 (52.020)	Prec@5 81.250 (81.523)
Epoch: [71][2030/14090]	Time 1.137 (1.280)	Data 0.448 (0.534)	Loss 1.7067 (1.8322)	Prec@1 55.469 (52.031)	Prec@5 85.938 (81.533)
Epoch: [71][2040/14090]	Time 1.344 (1.283)	Data 0.654 (0.538)	Loss 1.8390 (1.8323)	Prec@1 51.562 (52.034)	Prec@5 81.250 (81.532)
Epoch: [71][2050/14090]	Time 7.961 (1.290)	Data 7.267 (0.545)	Loss 1.7611 (1.8322)	Prec@1 50.781 (52.027)	Prec@5 83.594 (81.538)
Epoch: [71][2060/14090]	Time 1.758 (1.294)	Data 1.087 (0.549)	Loss 1.6257 (1.8321)	Prec@1 57.031 (52.033)	Prec@5 85.156 (81.538)
Epoch: [71][2070/14090]	Time 2.952 (1.298)	Data 2.264 (0.553)	Loss 1.6174 (1.8316)	Prec@1 54.688 (52.042)	Prec@5 85.156 (81.544)
Epoch: [71][2080/14090]	Time 1.079 (1.301)	Data 0.275 (0.556)	Loss 1.6925 (1.8313)	Prec@1 53.125 (52.049)	Prec@5 81.250 (81.549)
Epoch: [71][2090/14090]	Time 6.151 (1.306)	Data 5.466 (0.562)	Loss 2.0643 (1.8312)	Prec@1 52.344 (52.051)	Prec@5 78.906 (81.550)
Epoch: [71][2100/14090]	Time 3.145 (1.309)	Data 2.454 (0.565)	Loss 1.7402 (1.8311)	Prec@1 55.469 (52.050)	Prec@5 80.469 (81.548)
Epoch: [71][2110/14090]	Time 5.636 (1.316)	Data 4.931 (0.572)	Loss 2.0523 (1.8310)	Prec@1 46.875 (52.060)	Prec@5 77.344 (81.548)
Epoch: [71][2120/14090]	Time 0.716 (1.319)	Data 0.001 (0.575)	Loss 1.8489 (1.8310)	Prec@1 52.344 (52.063)	Prec@5 79.688 (81.548)
Epoch: [71][2130/14090]	Time 3.202 (1.322)	Data 2.506 (0.578)	Loss 1.7919 (1.8307)	Prec@1 53.125 (52.068)	Prec@5 85.156 (81.552)
Epoch: [71][2140/14090]	Time 1.572 (1.326)	Data 0.897 (0.582)	Loss 1.9499 (1.8309)	Prec@1 49.219 (52.057)	Prec@5 78.906 (81.555)
Epoch: [71][2150/14090]	Time 1.564 (1.329)	Data 0.767 (0.586)	Loss 1.8195 (1.8308)	Prec@1 54.688 (52.060)	Prec@5 77.344 (81.553)
Epoch: [71][2160/14090]	Time 3.530 (1.333)	Data 2.821 (0.590)	Loss 1.8253 (1.8313)	Prec@1 54.688 (52.046)	Prec@5 84.375 (81.543)
Epoch: [71][2170/14090]	Time 3.647 (1.338)	Data 2.954 (0.595)	Loss 1.7553 (1.8315)	Prec@1 58.594 (52.042)	Prec@5 85.938 (81.541)
Epoch: [71][2180/14090]	Time 3.947 (1.342)	Data 3.256 (0.598)	Loss 1.5654 (1.8314)	Prec@1 54.688 (52.048)	Prec@5 87.500 (81.544)
Epoch: [71][2190/14090]	Time 0.723 (1.344)	Data 0.001 (0.602)	Loss 1.7391 (1.8312)	Prec@1 52.344 (52.056)	Prec@5 85.938 (81.547)
Epoch: [71][2200/14090]	Time 0.718 (1.347)	Data 0.001 (0.604)	Loss 1.9144 (1.8312)	Prec@1 45.312 (52.052)	Prec@5 76.562 (81.544)
Epoch: [71][2210/14090]	Time 3.342 (1.350)	Data 2.657 (0.608)	Loss 1.9545 (1.8309)	Prec@1 50.781 (52.060)	Prec@5 74.219 (81.549)
Epoch: [71][2220/14090]	Time 2.295 (1.355)	Data 1.494 (0.612)	Loss 1.9884 (1.8309)	Prec@1 51.562 (52.064)	Prec@5 79.688 (81.549)
Epoch: [71][2230/14090]	Time 0.729 (1.358)	Data 0.001 (0.616)	Loss 1.8693 (1.8310)	Prec@1 48.438 (52.065)	Prec@5 82.031 (81.553)
Epoch: [71][2240/14090]	Time 3.535 (1.361)	Data 2.821 (0.619)	Loss 1.6992 (1.8304)	Prec@1 53.906 (52.082)	Prec@5 85.156 (81.561)
Epoch: [71][2250/14090]	Time 2.627 (1.365)	Data 1.954 (0.623)	Loss 1.8025 (1.8304)	Prec@1 52.344 (52.086)	Prec@5 81.250 (81.556)
Epoch: [71][2260/14090]	Time 0.722 (1.368)	Data 0.001 (0.626)	Loss 1.8559 (1.8304)	Prec@1 55.469 (52.083)	Prec@5 78.125 (81.552)
Epoch: [71][2270/14090]	Time 3.202 (1.370)	Data 2.526 (0.628)	Loss 1.8037 (1.8304)	Prec@1 53.906 (52.090)	Prec@5 84.375 (81.551)
Epoch: [71][2280/14090]	Time 2.880 (1.374)	Data 2.188 (0.632)	Loss 1.9121 (1.8304)	Prec@1 48.438 (52.088)	Prec@5 81.250 (81.552)
Epoch: [71][2290/14090]	Time 0.830 (1.377)	Data 0.001 (0.636)	Loss 1.7698 (1.8308)	Prec@1 53.906 (52.077)	Prec@5 85.938 (81.546)
Epoch: [71][2300/14090]	Time 4.286 (1.381)	Data 3.582 (0.639)	Loss 1.7192 (1.8307)	Prec@1 52.344 (52.071)	Prec@5 82.812 (81.553)
Epoch: [71][2310/14090]	Time 1.879 (1.384)	Data 1.202 (0.643)	Loss 1.7133 (1.8303)	Prec@1 53.906 (52.077)	Prec@5 80.469 (81.557)
Epoch: [71][2320/14090]	Time 0.727 (1.386)	Data 0.001 (0.645)	Loss 1.9631 (1.8303)	Prec@1 52.344 (52.086)	Prec@5 80.469 (81.555)
Epoch: [71][2330/14090]	Time 0.724 (1.391)	Data 0.001 (0.649)	Loss 1.8581 (1.8302)	Prec@1 48.438 (52.077)	Prec@5 78.906 (81.558)
Epoch: [71][2340/14090]	Time 0.973 (1.394)	Data 0.301 (0.652)	Loss 1.8825 (1.8300)	Prec@1 50.781 (52.073)	Prec@5 82.031 (81.569)
Epoch: [71][2350/14090]	Time 4.141 (1.397)	Data 3.461 (0.656)	Loss 2.0334 (1.8301)	Prec@1 50.000 (52.073)	Prec@5 75.781 (81.563)
Epoch: [71][2360/14090]	Time 1.249 (1.401)	Data 0.481 (0.660)	Loss 1.8798 (1.8300)	Prec@1 53.906 (52.075)	Prec@5 81.250 (81.571)
Epoch: [71][2370/14090]	Time 0.772 (1.402)	Data 0.082 (0.662)	Loss 1.7241 (1.8302)	Prec@1 55.469 (52.074)	Prec@5 81.250 (81.566)
Epoch: [71][2380/14090]	Time 2.777 (1.407)	Data 2.088 (0.666)	Loss 1.6978 (1.8300)	Prec@1 52.344 (52.076)	Prec@5 82.812 (81.566)
Epoch: [71][2390/14090]	Time 0.717 (1.408)	Data 0.001 (0.667)	Loss 1.9563 (1.8301)	Prec@1 52.344 (52.078)	Prec@5 82.812 (81.566)
Epoch: [71][2400/14090]	Time 1.154 (1.413)	Data 0.471 (0.673)	Loss 1.7796 (1.8304)	Prec@1 50.000 (52.068)	Prec@5 82.812 (81.559)
Epoch: [71][2410/14090]	Time 0.727 (1.415)	Data 0.001 (0.675)	Loss 1.9513 (1.8310)	Prec@1 51.562 (52.058)	Prec@5 75.781 (81.548)
Epoch: [71][2420/14090]	Time 3.489 (1.419)	Data 2.807 (0.678)	Loss 1.9052 (1.8308)	Prec@1 54.688 (52.061)	Prec@5 79.688 (81.551)
Epoch: [71][2430/14090]	Time 0.835 (1.421)	Data 0.001 (0.681)	Loss 1.8903 (1.8307)	Prec@1 53.125 (52.069)	Prec@5 81.250 (81.556)
Epoch: [71][2440/14090]	Time 0.719 (1.423)	Data 0.001 (0.683)	Loss 1.8094 (1.8302)	Prec@1 53.906 (52.077)	Prec@5 81.250 (81.566)
Epoch: [71][2450/14090]	Time 3.335 (1.427)	Data 2.657 (0.687)	Loss 2.0619 (1.8303)	Prec@1 42.969 (52.075)	Prec@5 75.000 (81.562)
Epoch: [71][2460/14090]	Time 1.720 (1.430)	Data 1.029 (0.691)	Loss 2.1316 (1.8304)	Prec@1 48.438 (52.077)	Prec@5 78.125 (81.560)
Epoch: [71][2470/14090]	Time 3.456 (1.434)	Data 2.760 (0.694)	Loss 1.8204 (1.8306)	Prec@1 50.000 (52.072)	Prec@5 79.688 (81.552)
Epoch: [71][2480/14090]	Time 0.721 (1.435)	Data 0.001 (0.696)	Loss 1.8455 (1.8306)	Prec@1 53.125 (52.081)	Prec@5 77.344 (81.549)
Epoch: [71][2490/14090]	Time 1.894 (1.440)	Data 1.210 (0.700)	Loss 1.9735 (1.8307)	Prec@1 49.219 (52.080)	Prec@5 79.688 (81.546)
Epoch: [71][2500/14090]	Time 0.830 (1.440)	Data 0.001 (0.701)	Loss 1.9177 (1.8307)	Prec@1 50.781 (52.081)	Prec@5 77.344 (81.548)
Epoch: [71][2510/14090]	Time 3.279 (1.443)	Data 2.580 (0.704)	Loss 1.8228 (1.8308)	Prec@1 51.562 (52.087)	Prec@5 86.719 (81.549)
Epoch: [71][2520/14090]	Time 1.815 (1.445)	Data 1.145 (0.706)	Loss 1.7276 (1.8307)	Prec@1 50.781 (52.088)	Prec@5 82.812 (81.548)
Epoch: [71][2530/14090]	Time 1.783 (1.449)	Data 1.090 (0.710)	Loss 1.8838 (1.8308)	Prec@1 49.219 (52.080)	Prec@5 87.500 (81.550)
Epoch: [71][2540/14090]	Time 6.217 (1.453)	Data 5.536 (0.714)	Loss 1.7102 (1.8313)	Prec@1 56.250 (52.073)	Prec@5 83.594 (81.541)
Epoch: [71][2550/14090]	Time 1.632 (1.454)	Data 0.940 (0.715)	Loss 1.4810 (1.8312)	Prec@1 60.156 (52.074)	Prec@5 88.281 (81.545)
Epoch: [71][2560/14090]	Time 0.741 (1.456)	Data 0.001 (0.717)	Loss 1.7768 (1.8313)	Prec@1 57.031 (52.074)	Prec@5 83.594 (81.537)
Epoch: [71][2570/14090]	Time 0.855 (1.460)	Data 0.001 (0.721)	Loss 1.8434 (1.8313)	Prec@1 54.688 (52.071)	Prec@5 81.250 (81.536)
Epoch: [71][2580/14090]	Time 3.549 (1.463)	Data 2.861 (0.724)	Loss 1.6970 (1.8310)	Prec@1 58.594 (52.077)	Prec@5 80.469 (81.542)
Epoch: [71][2590/14090]	Time 0.718 (1.465)	Data 0.001 (0.726)	Loss 1.8992 (1.8310)	Prec@1 49.219 (52.077)	Prec@5 78.125 (81.542)
Epoch: [71][2600/14090]	Time 0.965 (1.467)	Data 0.307 (0.729)	Loss 1.6847 (1.8313)	Prec@1 53.906 (52.075)	Prec@5 85.938 (81.540)
Epoch: [71][2610/14090]	Time 3.600 (1.470)	Data 2.914 (0.732)	Loss 1.9171 (1.8315)	Prec@1 51.562 (52.067)	Prec@5 79.688 (81.538)
Epoch: [71][2620/14090]	Time 5.280 (1.475)	Data 4.588 (0.737)	Loss 1.9071 (1.8315)	Prec@1 50.781 (52.066)	Prec@5 78.906 (81.540)
Epoch: [71][2630/14090]	Time 0.731 (1.476)	Data 0.001 (0.738)	Loss 1.8973 (1.8313)	Prec@1 50.781 (52.076)	Prec@5 78.906 (81.540)
Epoch: [71][2640/14090]	Time 0.820 (1.478)	Data 0.001 (0.740)	Loss 1.9198 (1.8314)	Prec@1 49.219 (52.083)	Prec@5 82.031 (81.538)
Epoch: [71][2650/14090]	Time 0.750 (1.480)	Data 0.001 (0.741)	Loss 1.8045 (1.8314)	Prec@1 54.688 (52.088)	Prec@5 85.938 (81.536)
Epoch: [71][2660/14090]	Time 0.721 (1.484)	Data 0.001 (0.746)	Loss 1.7937 (1.8312)	Prec@1 53.125 (52.094)	Prec@5 85.156 (81.538)
Epoch: [71][2670/14090]	Time 2.583 (1.487)	Data 1.897 (0.749)	Loss 1.7740 (1.8312)	Prec@1 53.906 (52.098)	Prec@5 83.594 (81.540)
Epoch: [71][2680/14090]	Time 0.731 (1.488)	Data 0.001 (0.750)	Loss 2.0459 (1.8313)	Prec@1 50.781 (52.101)	Prec@5 79.688 (81.541)
Epoch: [71][2690/14090]	Time 0.720 (1.490)	Data 0.001 (0.752)	Loss 1.5713 (1.8313)	Prec@1 58.594 (52.104)	Prec@5 87.500 (81.539)
Epoch: [71][2700/14090]	Time 1.135 (1.493)	Data 0.440 (0.755)	Loss 1.7829 (1.8314)	Prec@1 53.906 (52.098)	Prec@5 81.250 (81.535)
Epoch: [71][2710/14090]	Time 3.952 (1.496)	Data 3.136 (0.758)	Loss 1.8487 (1.8313)	Prec@1 53.125 (52.100)	Prec@5 82.812 (81.535)
Epoch: [71][2720/14090]	Time 3.930 (1.497)	Data 3.240 (0.760)	Loss 1.9098 (1.8313)	Prec@1 55.469 (52.099)	Prec@5 78.906 (81.538)
Epoch: [71][2730/14090]	Time 3.295 (1.500)	Data 2.587 (0.762)	Loss 1.6699 (1.8314)	Prec@1 57.812 (52.097)	Prec@5 82.812 (81.538)
Epoch: [71][2740/14090]	Time 1.422 (1.501)	Data 0.735 (0.763)	Loss 2.1799 (1.8316)	Prec@1 46.094 (52.091)	Prec@5 78.906 (81.539)
Epoch: [71][2750/14090]	Time 0.722 (1.504)	Data 0.001 (0.766)	Loss 1.8834 (1.8315)	Prec@1 48.438 (52.089)	Prec@5 82.031 (81.543)
Epoch: [71][2760/14090]	Time 6.162 (1.507)	Data 5.481 (0.770)	Loss 1.5898 (1.8314)	Prec@1 58.594 (52.085)	Prec@5 85.938 (81.543)
Epoch: [71][2770/14090]	Time 0.807 (1.509)	Data 0.120 (0.772)	Loss 2.0805 (1.8316)	Prec@1 47.656 (52.082)	Prec@5 77.344 (81.536)
Epoch: [71][2780/14090]	Time 2.325 (1.511)	Data 1.513 (0.774)	Loss 1.7366 (1.8316)	Prec@1 47.656 (52.076)	Prec@5 84.375 (81.538)
Epoch: [71][2790/14090]	Time 1.624 (1.513)	Data 0.945 (0.775)	Loss 1.7822 (1.8317)	Prec@1 53.125 (52.074)	Prec@5 78.906 (81.534)
Epoch: [71][2800/14090]	Time 1.710 (1.515)	Data 1.017 (0.778)	Loss 1.7321 (1.8318)	Prec@1 56.250 (52.077)	Prec@5 83.594 (81.529)
Epoch: [71][2810/14090]	Time 0.719 (1.516)	Data 0.001 (0.779)	Loss 1.5606 (1.8317)	Prec@1 55.469 (52.081)	Prec@5 88.281 (81.533)
Epoch: [71][2820/14090]	Time 1.253 (1.517)	Data 0.551 (0.780)	Loss 2.0119 (1.8316)	Prec@1 42.188 (52.084)	Prec@5 77.344 (81.539)
Epoch: [71][2830/14090]	Time 1.721 (1.519)	Data 1.037 (0.782)	Loss 1.8981 (1.8315)	Prec@1 49.219 (52.088)	Prec@5 80.469 (81.546)
Epoch: [71][2840/14090]	Time 0.726 (1.521)	Data 0.001 (0.784)	Loss 1.9042 (1.8315)	Prec@1 54.688 (52.089)	Prec@5 78.125 (81.545)
Epoch: [71][2850/14090]	Time 1.305 (1.522)	Data 0.465 (0.785)	Loss 1.9966 (1.8316)	Prec@1 48.438 (52.084)	Prec@5 78.906 (81.542)
Epoch: [71][2860/14090]	Time 0.718 (1.523)	Data 0.001 (0.786)	Loss 1.8299 (1.8313)	Prec@1 48.438 (52.087)	Prec@5 85.156 (81.548)
Epoch: [71][2870/14090]	Time 0.720 (1.526)	Data 0.001 (0.789)	Loss 1.9661 (1.8315)	Prec@1 49.219 (52.085)	Prec@5 76.562 (81.543)
Epoch: [71][2880/14090]	Time 0.721 (1.529)	Data 0.001 (0.792)	Loss 1.7321 (1.8314)	Prec@1 58.594 (52.090)	Prec@5 82.812 (81.545)
Epoch: [71][2890/14090]	Time 0.963 (1.530)	Data 0.266 (0.794)	Loss 1.8509 (1.8314)	Prec@1 57.031 (52.093)	Prec@5 78.125 (81.546)
Epoch: [71][2900/14090]	Time 0.721 (1.532)	Data 0.001 (0.795)	Loss 1.6551 (1.8315)	Prec@1 59.375 (52.087)	Prec@5 83.594 (81.540)
Epoch: [71][2910/14090]	Time 0.723 (1.533)	Data 0.001 (0.797)	Loss 1.7994 (1.8312)	Prec@1 52.344 (52.091)	Prec@5 78.125 (81.542)
Epoch: [71][2920/14090]	Time 2.675 (1.536)	Data 1.876 (0.799)	Loss 1.8731 (1.8310)	Prec@1 52.344 (52.093)	Prec@5 85.156 (81.544)
Epoch: [71][2930/14090]	Time 0.724 (1.537)	Data 0.001 (0.800)	Loss 1.8172 (1.8308)	Prec@1 53.906 (52.097)	Prec@5 86.719 (81.551)
Epoch: [71][2940/14090]	Time 0.722 (1.538)	Data 0.001 (0.802)	Loss 1.7550 (1.8308)	Prec@1 53.125 (52.101)	Prec@5 82.812 (81.555)
Epoch: [71][2950/14090]	Time 0.712 (1.541)	Data 0.001 (0.805)	Loss 1.8812 (1.8306)	Prec@1 50.000 (52.105)	Prec@5 83.594 (81.556)
Epoch: [71][2960/14090]	Time 0.722 (1.543)	Data 0.001 (0.806)	Loss 1.8521 (1.8307)	Prec@1 49.219 (52.097)	Prec@5 82.031 (81.554)
Epoch: [71][2970/14090]	Time 1.728 (1.543)	Data 1.046 (0.807)	Loss 1.7491 (1.8304)	Prec@1 57.812 (52.101)	Prec@5 82.031 (81.559)
Epoch: [71][2980/14090]	Time 0.821 (1.545)	Data 0.137 (0.809)	Loss 1.5439 (1.8301)	Prec@1 55.469 (52.112)	Prec@5 85.938 (81.564)
Epoch: [71][2990/14090]	Time 5.761 (1.549)	Data 4.996 (0.813)	Loss 1.5865 (1.8299)	Prec@1 57.812 (52.118)	Prec@5 82.031 (81.565)
Epoch: [71][3000/14090]	Time 2.760 (1.550)	Data 2.065 (0.814)	Loss 1.9307 (1.8298)	Prec@1 49.219 (52.121)	Prec@5 82.031 (81.566)
Epoch: [71][3010/14090]	Time 0.720 (1.550)	Data 0.001 (0.815)	Loss 1.9808 (1.8299)	Prec@1 50.781 (52.122)	Prec@5 83.594 (81.569)
Epoch: [71][3020/14090]	Time 0.724 (1.551)	Data 0.001 (0.815)	Loss 1.6765 (1.8298)	Prec@1 51.562 (52.117)	Prec@5 84.375 (81.568)
Epoch: [71][3030/14090]	Time 4.381 (1.554)	Data 3.688 (0.818)	Loss 1.7257 (1.8297)	Prec@1 56.250 (52.116)	Prec@5 84.375 (81.570)
Epoch: [71][3040/14090]	Time 4.495 (1.555)	Data 3.818 (0.819)	Loss 2.0272 (1.8299)	Prec@1 50.000 (52.111)	Prec@5 78.125 (81.563)
Epoch: [71][3050/14090]	Time 0.737 (1.556)	Data 0.046 (0.820)	Loss 1.6968 (1.8298)	Prec@1 51.562 (52.114)	Prec@5 82.812 (81.565)
Epoch: [71][3060/14090]	Time 0.882 (1.556)	Data 0.001 (0.820)	Loss 1.7343 (1.8298)	Prec@1 52.344 (52.118)	Prec@5 82.031 (81.565)
Epoch: [71][3070/14090]	Time 0.715 (1.558)	Data 0.001 (0.822)	Loss 1.5918 (1.8301)	Prec@1 60.938 (52.113)	Prec@5 88.281 (81.566)
Epoch: [71][3080/14090]	Time 2.410 (1.559)	Data 1.702 (0.823)	Loss 1.5533 (1.8301)	Prec@1 62.500 (52.118)	Prec@5 86.719 (81.564)
Epoch: [71][3090/14090]	Time 0.720 (1.561)	Data 0.001 (0.825)	Loss 1.7617 (1.8298)	Prec@1 50.000 (52.121)	Prec@5 82.812 (81.570)
Epoch: [71][3100/14090]	Time 0.720 (1.561)	Data 0.001 (0.826)	Loss 1.7966 (1.8298)	Prec@1 50.781 (52.121)	Prec@5 82.812 (81.571)
Epoch: [71][3110/14090]	Time 3.105 (1.564)	Data 2.407 (0.829)	Loss 1.7182 (1.8298)	Prec@1 60.156 (52.125)	Prec@5 82.812 (81.571)
Epoch: [71][3120/14090]	Time 3.045 (1.565)	Data 2.364 (0.830)	Loss 2.0824 (1.8298)	Prec@1 42.188 (52.119)	Prec@5 76.562 (81.574)
Epoch: [71][3130/14090]	Time 0.830 (1.565)	Data 0.001 (0.830)	Loss 1.9588 (1.8298)	Prec@1 53.906 (52.115)	Prec@5 73.438 (81.570)
Epoch: [71][3140/14090]	Time 0.748 (1.566)	Data 0.001 (0.831)	Loss 1.7704 (1.8297)	Prec@1 58.594 (52.119)	Prec@5 81.250 (81.572)
Epoch: [71][3150/14090]	Time 3.494 (1.568)	Data 2.784 (0.832)	Loss 1.7789 (1.8296)	Prec@1 57.031 (52.121)	Prec@5 82.812 (81.580)
Epoch: [71][3160/14090]	Time 2.285 (1.570)	Data 1.593 (0.834)	Loss 1.9341 (1.8297)	Prec@1 56.250 (52.120)	Prec@5 82.812 (81.579)
Epoch: [71][3170/14090]	Time 2.302 (1.570)	Data 1.612 (0.835)	Loss 1.7697 (1.8298)	Prec@1 56.250 (52.119)	Prec@5 79.688 (81.576)
Epoch: [71][3180/14090]	Time 0.724 (1.571)	Data 0.001 (0.836)	Loss 1.7325 (1.8296)	Prec@1 53.125 (52.121)	Prec@5 83.594 (81.579)
Epoch: [71][3190/14090]	Time 0.720 (1.573)	Data 0.001 (0.838)	Loss 1.8599 (1.8298)	Prec@1 48.438 (52.119)	Prec@5 81.250 (81.574)
Epoch: [71][3200/14090]	Time 5.768 (1.575)	Data 4.941 (0.840)	Loss 1.9779 (1.8300)	Prec@1 50.781 (52.118)	Prec@5 75.781 (81.568)
Epoch: [71][3210/14090]	Time 1.962 (1.576)	Data 1.271 (0.841)	Loss 1.9135 (1.8300)	Prec@1 51.562 (52.123)	Prec@5 81.250 (81.568)
Epoch: [71][3220/14090]	Time 0.721 (1.577)	Data 0.001 (0.842)	Loss 1.5727 (1.8297)	Prec@1 57.812 (52.132)	Prec@5 87.500 (81.570)
Epoch: [71][3230/14090]	Time 1.240 (1.577)	Data 0.548 (0.842)	Loss 1.7039 (1.8297)	Prec@1 57.031 (52.137)	Prec@5 85.156 (81.569)
Epoch: [71][3240/14090]	Time 4.977 (1.581)	Data 4.295 (0.846)	Loss 1.9382 (1.8297)	Prec@1 51.562 (52.136)	Prec@5 78.906 (81.570)
Epoch: [71][3250/14090]	Time 1.226 (1.581)	Data 0.536 (0.846)	Loss 1.7382 (1.8298)	Prec@1 55.469 (52.135)	Prec@5 80.469 (81.570)
Epoch: [71][3260/14090]	Time 0.717 (1.582)	Data 0.001 (0.847)	Loss 1.8798 (1.8298)	Prec@1 48.438 (52.134)	Prec@5 82.031 (81.570)
Epoch: [71][3270/14090]	Time 0.960 (1.583)	Data 0.125 (0.848)	Loss 1.6736 (1.8296)	Prec@1 50.000 (52.140)	Prec@5 82.812 (81.574)
Epoch: [71][3280/14090]	Time 1.522 (1.586)	Data 0.851 (0.851)	Loss 1.5294 (1.8294)	Prec@1 57.031 (52.146)	Prec@5 86.719 (81.578)
Epoch: [71][3290/14090]	Time 0.720 (1.586)	Data 0.001 (0.851)	Loss 1.7349 (1.8295)	Prec@1 53.906 (52.141)	Prec@5 81.250 (81.574)
Epoch: [71][3300/14090]	Time 4.032 (1.587)	Data 3.340 (0.852)	Loss 2.0053 (1.8297)	Prec@1 53.125 (52.141)	Prec@5 77.344 (81.573)
Epoch: [71][3310/14090]	Time 1.327 (1.587)	Data 0.618 (0.852)	Loss 2.0119 (1.8299)	Prec@1 43.750 (52.134)	Prec@5 81.250 (81.569)
Epoch: [71][3320/14090]	Time 2.933 (1.588)	Data 2.258 (0.854)	Loss 1.9124 (1.8298)	Prec@1 49.219 (52.135)	Prec@5 80.469 (81.575)
Epoch: [71][3330/14090]	Time 0.724 (1.589)	Data 0.001 (0.854)	Loss 1.5718 (1.8301)	Prec@1 53.906 (52.130)	Prec@5 85.156 (81.565)
Epoch: [71][3340/14090]	Time 2.395 (1.590)	Data 1.582 (0.855)	Loss 1.8107 (1.8300)	Prec@1 59.375 (52.134)	Prec@5 77.344 (81.566)
Epoch: [71][3350/14090]	Time 1.141 (1.590)	Data 0.439 (0.855)	Loss 2.0591 (1.8298)	Prec@1 46.094 (52.140)	Prec@5 78.125 (81.567)
Epoch: [71][3360/14090]	Time 0.719 (1.592)	Data 0.001 (0.858)	Loss 2.0257 (1.8300)	Prec@1 41.406 (52.139)	Prec@5 82.812 (81.565)
Epoch: [71][3370/14090]	Time 1.972 (1.593)	Data 1.272 (0.858)	Loss 1.8039 (1.8301)	Prec@1 52.344 (52.139)	Prec@5 83.594 (81.562)
Epoch: [71][3380/14090]	Time 4.186 (1.594)	Data 3.480 (0.860)	Loss 2.0097 (1.8301)	Prec@1 46.875 (52.138)	Prec@5 77.344 (81.563)
Epoch: [71][3390/14090]	Time 1.025 (1.595)	Data 0.339 (0.861)	Loss 1.8673 (1.8300)	Prec@1 49.219 (52.140)	Prec@5 80.469 (81.567)
Epoch: [71][3400/14090]	Time 1.796 (1.596)	Data 1.098 (0.862)	Loss 1.9933 (1.8298)	Prec@1 48.438 (52.143)	Prec@5 78.125 (81.572)
Epoch: [71][3410/14090]	Time 3.277 (1.597)	Data 2.421 (0.863)	Loss 1.9021 (1.8299)	Prec@1 46.094 (52.138)	Prec@5 82.812 (81.567)
Epoch: [71][3420/14090]	Time 0.722 (1.598)	Data 0.001 (0.864)	Loss 1.7656 (1.8298)	Prec@1 50.000 (52.141)	Prec@5 82.812 (81.566)
Epoch: [71][3430/14090]	Time 2.667 (1.598)	Data 1.971 (0.864)	Loss 1.6111 (1.8295)	Prec@1 53.125 (52.144)	Prec@5 87.500 (81.574)
Epoch: [71][3440/14090]	Time 1.517 (1.599)	Data 0.825 (0.865)	Loss 1.7023 (1.8293)	Prec@1 54.688 (52.144)	Prec@5 83.594 (81.579)
Epoch: [71][3450/14090]	Time 1.840 (1.600)	Data 1.170 (0.866)	Loss 1.7950 (1.8293)	Prec@1 53.125 (52.145)	Prec@5 85.156 (81.581)
Epoch: [71][3460/14090]	Time 1.642 (1.600)	Data 0.942 (0.866)	Loss 1.7858 (1.8292)	Prec@1 52.344 (52.149)	Prec@5 82.812 (81.581)
Epoch: [71][3470/14090]	Time 0.751 (1.600)	Data 0.001 (0.866)	Loss 1.6670 (1.8291)	Prec@1 55.469 (52.152)	Prec@5 85.156 (81.586)
Epoch: [71][3480/14090]	Time 3.217 (1.603)	Data 2.369 (0.869)	Loss 1.8493 (1.8290)	Prec@1 53.906 (52.155)	Prec@5 78.906 (81.585)
Epoch: [71][3490/14090]	Time 1.358 (1.604)	Data 0.668 (0.870)	Loss 1.8614 (1.8290)	Prec@1 50.781 (52.156)	Prec@5 83.594 (81.587)
Epoch: [71][3500/14090]	Time 0.714 (1.604)	Data 0.001 (0.870)	Loss 1.7395 (1.8293)	Prec@1 56.250 (52.149)	Prec@5 81.250 (81.583)
Epoch: [71][3510/14090]	Time 0.750 (1.604)	Data 0.001 (0.870)	Loss 1.9837 (1.8294)	Prec@1 42.188 (52.139)	Prec@5 78.125 (81.583)
Epoch: [71][3520/14090]	Time 1.120 (1.606)	Data 0.430 (0.873)	Loss 1.7097 (1.8293)	Prec@1 57.812 (52.145)	Prec@5 82.031 (81.585)
Epoch: [71][3530/14090]	Time 2.910 (1.607)	Data 2.235 (0.874)	Loss 1.8282 (1.8294)	Prec@1 53.125 (52.144)	Prec@5 82.812 (81.583)
Epoch: [71][3540/14090]	Time 0.729 (1.609)	Data 0.001 (0.875)	Loss 1.9071 (1.8294)	Prec@1 48.438 (52.147)	Prec@5 80.469 (81.579)
Epoch: [71][3550/14090]	Time 2.837 (1.610)	Data 2.035 (0.876)	Loss 1.9771 (1.8296)	Prec@1 46.094 (52.145)	Prec@5 77.344 (81.578)
Epoch: [71][3560/14090]	Time 2.673 (1.610)	Data 2.002 (0.877)	Loss 1.8564 (1.8297)	Prec@1 50.000 (52.144)	Prec@5 80.469 (81.575)
Epoch: [71][3570/14090]	Time 3.025 (1.612)	Data 2.330 (0.878)	Loss 1.6353 (1.8298)	Prec@1 50.781 (52.137)	Prec@5 83.594 (81.571)
Epoch: [71][3580/14090]	Time 0.929 (1.612)	Data 0.261 (0.878)	Loss 1.9351 (1.8300)	Prec@1 50.781 (52.135)	Prec@5 78.906 (81.570)
Epoch: [71][3590/14090]	Time 3.675 (1.613)	Data 2.990 (0.880)	Loss 2.0170 (1.8301)	Prec@1 50.781 (52.133)	Prec@5 79.688 (81.574)
Epoch: [71][3600/14090]	Time 2.878 (1.614)	Data 2.202 (0.881)	Loss 1.9250 (1.8301)	Prec@1 50.781 (52.134)	Prec@5 78.906 (81.573)
Epoch: [71][3610/14090]	Time 0.726 (1.614)	Data 0.001 (0.880)	Loss 1.7005 (1.8300)	Prec@1 53.906 (52.135)	Prec@5 82.031 (81.574)
Epoch: [71][3620/14090]	Time 3.367 (1.614)	Data 2.561 (0.880)	Loss 1.8620 (1.8300)	Prec@1 48.438 (52.138)	Prec@5 79.688 (81.574)
Epoch: [71][3630/14090]	Time 0.723 (1.616)	Data 0.001 (0.883)	Loss 1.8687 (1.8300)	Prec@1 54.688 (52.140)	Prec@5 81.250 (81.576)
Epoch: [71][3640/14090]	Time 0.842 (1.618)	Data 0.149 (0.885)	Loss 1.7456 (1.8300)	Prec@1 52.344 (52.139)	Prec@5 82.031 (81.573)
Epoch: [71][3650/14090]	Time 0.720 (1.620)	Data 0.001 (0.887)	Loss 2.0634 (1.8299)	Prec@1 39.062 (52.139)	Prec@5 81.250 (81.573)
Epoch: [71][3660/14090]	Time 2.072 (1.623)	Data 1.386 (0.889)	Loss 1.6834 (1.8301)	Prec@1 57.031 (52.132)	Prec@5 82.812 (81.571)
Epoch: [71][3670/14090]	Time 4.970 (1.625)	Data 4.292 (0.892)	Loss 1.5910 (1.8300)	Prec@1 56.250 (52.133)	Prec@5 84.375 (81.574)
Epoch: [71][3680/14090]	Time 0.723 (1.627)	Data 0.001 (0.894)	Loss 1.9135 (1.8301)	Prec@1 49.219 (52.133)	Prec@5 82.812 (81.575)
Epoch: [71][3690/14090]	Time 0.845 (1.629)	Data 0.001 (0.896)	Loss 1.7273 (1.8301)	Prec@1 53.125 (52.136)	Prec@5 80.469 (81.573)
Epoch: [71][3700/14090]	Time 2.008 (1.631)	Data 1.318 (0.898)	Loss 1.9445 (1.8302)	Prec@1 52.344 (52.131)	Prec@5 77.344 (81.570)
Epoch: [71][3710/14090]	Time 3.093 (1.634)	Data 2.413 (0.901)	Loss 2.1204 (1.8304)	Prec@1 47.656 (52.128)	Prec@5 77.344 (81.567)
Epoch: [71][3720/14090]	Time 0.717 (1.638)	Data 0.001 (0.905)	Loss 1.8594 (1.8304)	Prec@1 57.031 (52.129)	Prec@5 78.906 (81.566)
Epoch: [71][3730/14090]	Time 0.717 (1.639)	Data 0.001 (0.906)	Loss 1.6812 (1.8301)	Prec@1 57.812 (52.130)	Prec@5 82.812 (81.570)
Epoch: [71][3740/14090]	Time 0.723 (1.638)	Data 0.001 (0.905)	Loss 1.7595 (1.8301)	Prec@1 50.781 (52.129)	Prec@5 81.250 (81.571)
Epoch: [71][3750/14090]	Time 0.734 (1.636)	Data 0.001 (0.904)	Loss 1.8496 (1.8303)	Prec@1 51.562 (52.125)	Prec@5 82.812 (81.566)
Epoch: [71][3760/14090]	Time 2.879 (1.635)	Data 2.043 (0.902)	Loss 2.0056 (1.8304)	Prec@1 46.875 (52.120)	Prec@5 81.250 (81.566)
Epoch: [71][3770/14090]	Time 0.735 (1.634)	Data 0.001 (0.901)	Loss 1.6351 (1.8304)	Prec@1 56.250 (52.120)	Prec@5 84.375 (81.567)
Epoch: [71][3780/14090]	Time 1.355 (1.632)	Data 0.632 (0.899)	Loss 1.7316 (1.8305)	Prec@1 57.812 (52.118)	Prec@5 84.375 (81.569)
Epoch: [71][3790/14090]	Time 1.071 (1.631)	Data 0.383 (0.898)	Loss 1.6847 (1.8304)	Prec@1 54.688 (52.122)	Prec@5 84.375 (81.569)
Epoch: [71][3800/14090]	Time 0.741 (1.629)	Data 0.001 (0.896)	Loss 1.8557 (1.8305)	Prec@1 45.312 (52.120)	Prec@5 81.250 (81.567)
Epoch: [71][3810/14090]	Time 0.720 (1.627)	Data 0.001 (0.894)	Loss 1.7443 (1.8306)	Prec@1 53.125 (52.114)	Prec@5 85.156 (81.565)
Epoch: [71][3820/14090]	Time 0.924 (1.626)	Data 0.216 (0.893)	Loss 1.8475 (1.8308)	Prec@1 50.781 (52.108)	Prec@5 82.031 (81.562)
Epoch: [71][3830/14090]	Time 0.882 (1.624)	Data 0.001 (0.891)	Loss 1.9423 (1.8307)	Prec@1 51.562 (52.110)	Prec@5 82.812 (81.565)
Epoch: [71][3840/14090]	Time 0.726 (1.623)	Data 0.001 (0.890)	Loss 1.7463 (1.8305)	Prec@1 54.688 (52.119)	Prec@5 82.031 (81.572)
Epoch: [71][3850/14090]	Time 1.206 (1.621)	Data 0.507 (0.888)	Loss 1.5548 (1.8303)	Prec@1 54.688 (52.125)	Prec@5 85.156 (81.575)
Epoch: [71][3860/14090]	Time 2.516 (1.621)	Data 1.829 (0.887)	Loss 1.8178 (1.8303)	Prec@1 50.000 (52.123)	Prec@5 79.688 (81.577)
Epoch: [71][3870/14090]	Time 0.718 (1.619)	Data 0.001 (0.886)	Loss 2.2069 (1.8305)	Prec@1 43.750 (52.120)	Prec@5 71.875 (81.573)
Epoch: [71][3880/14090]	Time 0.749 (1.617)	Data 0.001 (0.884)	Loss 1.8871 (1.8303)	Prec@1 49.219 (52.124)	Prec@5 83.594 (81.573)
Epoch: [71][3890/14090]	Time 1.265 (1.616)	Data 0.583 (0.883)	Loss 1.9589 (1.8303)	Prec@1 53.125 (52.124)	Prec@5 80.469 (81.573)
Epoch: [71][3900/14090]	Time 2.905 (1.615)	Data 2.104 (0.882)	Loss 1.7941 (1.8303)	Prec@1 51.562 (52.120)	Prec@5 83.594 (81.578)
Epoch: [71][3910/14090]	Time 0.744 (1.614)	Data 0.001 (0.880)	Loss 1.8764 (1.8302)	Prec@1 52.344 (52.120)	Prec@5 77.344 (81.582)
Epoch: [71][3920/14090]	Time 0.730 (1.612)	Data 0.001 (0.879)	Loss 1.7461 (1.8301)	Prec@1 53.906 (52.121)	Prec@5 80.469 (81.580)
Epoch: [71][3930/14090]	Time 0.825 (1.611)	Data 0.138 (0.878)	Loss 1.8745 (1.8303)	Prec@1 51.562 (52.121)	Prec@5 84.375 (81.576)
Epoch: [71][3940/14090]	Time 0.789 (1.609)	Data 0.062 (0.876)	Loss 2.0509 (1.8303)	Prec@1 50.781 (52.122)	Prec@5 75.781 (81.578)
Epoch: [71][3950/14090]	Time 0.724 (1.608)	Data 0.001 (0.875)	Loss 1.8059 (1.8301)	Prec@1 53.125 (52.126)	Prec@5 79.688 (81.581)
Epoch: [71][3960/14090]	Time 2.607 (1.607)	Data 1.889 (0.874)	Loss 1.8536 (1.8301)	Prec@1 55.469 (52.125)	Prec@5 82.031 (81.581)
Epoch: [71][3970/14090]	Time 0.835 (1.605)	Data 0.001 (0.872)	Loss 1.8249 (1.8303)	Prec@1 55.469 (52.121)	Prec@5 79.688 (81.579)
Epoch: [71][3980/14090]	Time 0.720 (1.604)	Data 0.001 (0.871)	Loss 1.7505 (1.8302)	Prec@1 55.469 (52.127)	Prec@5 79.688 (81.579)
Epoch: [71][3990/14090]	Time 0.745 (1.603)	Data 0.001 (0.870)	Loss 2.2636 (1.8304)	Prec@1 45.312 (52.125)	Prec@5 76.562 (81.575)
Epoch: [71][4000/14090]	Time 3.639 (1.603)	Data 2.936 (0.870)	Loss 1.7406 (1.8303)	Prec@1 55.469 (52.129)	Prec@5 84.375 (81.577)
Epoch: [71][4010/14090]	Time 0.973 (1.601)	Data 0.260 (0.868)	Loss 1.7593 (1.8304)	Prec@1 51.562 (52.128)	Prec@5 85.938 (81.576)
Epoch: [71][4020/14090]	Time 0.753 (1.600)	Data 0.001 (0.867)	Loss 1.8322 (1.8305)	Prec@1 50.781 (52.128)	Prec@5 79.688 (81.572)
Epoch: [71][4030/14090]	Time 0.737 (1.598)	Data 0.001 (0.865)	Loss 1.8223 (1.8305)	Prec@1 44.531 (52.126)	Prec@5 80.469 (81.573)
Epoch: [71][4040/14090]	Time 2.281 (1.596)	Data 1.474 (0.863)	Loss 2.0366 (1.8307)	Prec@1 48.438 (52.121)	Prec@5 79.688 (81.567)
Epoch: [71][4050/14090]	Time 0.733 (1.595)	Data 0.001 (0.862)	Loss 1.9863 (1.8309)	Prec@1 46.875 (52.117)	Prec@5 77.344 (81.568)
Epoch: [71][4060/14090]	Time 0.724 (1.594)	Data 0.001 (0.860)	Loss 1.8100 (1.8310)	Prec@1 57.812 (52.113)	Prec@5 82.812 (81.566)
Epoch: [71][4070/14090]	Time 0.743 (1.592)	Data 0.001 (0.859)	Loss 1.8748 (1.8311)	Prec@1 48.438 (52.108)	Prec@5 75.000 (81.564)
Epoch: [71][4080/14090]	Time 2.150 (1.591)	Data 1.452 (0.857)	Loss 1.6779 (1.8314)	Prec@1 53.906 (52.101)	Prec@5 82.812 (81.561)
Epoch: [71][4090/14090]	Time 0.730 (1.590)	Data 0.001 (0.856)	Loss 1.9146 (1.8313)	Prec@1 44.531 (52.105)	Prec@5 85.156 (81.563)
Epoch: [71][4100/14090]	Time 0.744 (1.588)	Data 0.001 (0.855)	Loss 1.9083 (1.8316)	Prec@1 47.656 (52.099)	Prec@5 82.031 (81.558)
Epoch: [71][4110/14090]	Time 0.868 (1.587)	Data 0.001 (0.853)	Loss 1.6944 (1.8314)	Prec@1 57.812 (52.105)	Prec@5 82.031 (81.558)
Epoch: [71][4120/14090]	Time 1.419 (1.586)	Data 0.732 (0.852)	Loss 1.8272 (1.8313)	Prec@1 53.125 (52.108)	Prec@5 81.250 (81.559)
Epoch: [71][4130/14090]	Time 0.723 (1.584)	Data 0.001 (0.851)	Loss 1.5631 (1.8311)	Prec@1 62.500 (52.113)	Prec@5 82.812 (81.563)
Epoch: [71][4140/14090]	Time 0.725 (1.583)	Data 0.001 (0.849)	Loss 2.2063 (1.8312)	Prec@1 43.750 (52.110)	Prec@5 71.875 (81.561)
Epoch: [71][4150/14090]	Time 0.728 (1.581)	Data 0.001 (0.848)	Loss 1.8226 (1.8313)	Prec@1 43.750 (52.108)	Prec@5 84.375 (81.561)
Epoch: [71][4160/14090]	Time 2.788 (1.580)	Data 2.087 (0.847)	Loss 1.9130 (1.8313)	Prec@1 52.344 (52.111)	Prec@5 78.125 (81.561)
Epoch: [71][4170/14090]	Time 0.876 (1.579)	Data 0.164 (0.845)	Loss 1.7027 (1.8314)	Prec@1 53.125 (52.104)	Prec@5 85.938 (81.560)
Epoch: [71][4180/14090]	Time 0.848 (1.577)	Data 0.001 (0.844)	Loss 1.9546 (1.8315)	Prec@1 49.219 (52.100)	Prec@5 80.469 (81.560)
Epoch: [71][4190/14090]	Time 0.721 (1.576)	Data 0.001 (0.843)	Loss 1.7645 (1.8314)	Prec@1 54.688 (52.106)	Prec@5 82.812 (81.564)
Epoch: [71][4200/14090]	Time 2.914 (1.576)	Data 2.220 (0.842)	Loss 2.0384 (1.8315)	Prec@1 47.656 (52.101)	Prec@5 79.688 (81.563)
Epoch: [71][4210/14090]	Time 0.756 (1.574)	Data 0.001 (0.841)	Loss 1.7484 (1.8315)	Prec@1 57.031 (52.103)	Prec@5 82.031 (81.564)
Epoch: [71][4220/14090]	Time 0.720 (1.573)	Data 0.001 (0.840)	Loss 1.8131 (1.8316)	Prec@1 50.000 (52.102)	Prec@5 82.812 (81.561)
Epoch: [71][4230/14090]	Time 0.755 (1.572)	Data 0.001 (0.838)	Loss 1.8111 (1.8315)	Prec@1 48.438 (52.105)	Prec@5 84.375 (81.560)
Epoch: [71][4240/14090]	Time 1.397 (1.570)	Data 0.692 (0.837)	Loss 1.9076 (1.8314)	Prec@1 53.125 (52.107)	Prec@5 76.562 (81.559)
Epoch: [71][4250/14090]	Time 0.826 (1.569)	Data 0.001 (0.836)	Loss 2.1340 (1.8317)	Prec@1 43.750 (52.101)	Prec@5 76.562 (81.558)
Epoch: [71][4260/14090]	Time 0.726 (1.568)	Data 0.001 (0.834)	Loss 2.1143 (1.8318)	Prec@1 46.094 (52.101)	Prec@5 80.469 (81.555)
Epoch: [71][4270/14090]	Time 0.728 (1.567)	Data 0.001 (0.833)	Loss 2.0507 (1.8319)	Prec@1 45.312 (52.098)	Prec@5 75.781 (81.553)
Epoch: [71][4280/14090]	Time 1.844 (1.565)	Data 1.132 (0.832)	Loss 2.0540 (1.8321)	Prec@1 47.656 (52.091)	Prec@5 75.000 (81.550)
Epoch: [71][4290/14090]	Time 0.721 (1.565)	Data 0.001 (0.831)	Loss 1.7165 (1.8320)	Prec@1 50.000 (52.090)	Prec@5 86.719 (81.552)
Epoch: [71][4300/14090]	Time 0.723 (1.564)	Data 0.001 (0.830)	Loss 1.6779 (1.8321)	Prec@1 57.031 (52.084)	Prec@5 82.031 (81.548)
Epoch: [71][4310/14090]	Time 0.720 (1.562)	Data 0.001 (0.828)	Loss 1.8832 (1.8321)	Prec@1 48.438 (52.089)	Prec@5 82.031 (81.546)
Epoch: [71][4320/14090]	Time 0.863 (1.561)	Data 0.001 (0.827)	Loss 1.6752 (1.8319)	Prec@1 53.906 (52.091)	Prec@5 83.594 (81.551)
Epoch: [71][4330/14090]	Time 0.845 (1.560)	Data 0.146 (0.826)	Loss 1.6146 (1.8317)	Prec@1 58.594 (52.093)	Prec@5 85.156 (81.557)
Epoch: [71][4340/14090]	Time 0.719 (1.558)	Data 0.001 (0.824)	Loss 1.7797 (1.8317)	Prec@1 52.344 (52.095)	Prec@5 82.812 (81.555)
Epoch: [71][4350/14090]	Time 0.747 (1.557)	Data 0.001 (0.823)	Loss 1.9011 (1.8317)	Prec@1 53.125 (52.096)	Prec@5 82.812 (81.555)
Epoch: [71][4360/14090]	Time 0.727 (1.556)	Data 0.001 (0.822)	Loss 2.2622 (1.8319)	Prec@1 41.406 (52.086)	Prec@5 75.781 (81.554)
Epoch: [71][4370/14090]	Time 1.444 (1.555)	Data 0.728 (0.821)	Loss 1.7784 (1.8319)	Prec@1 50.000 (52.085)	Prec@5 82.812 (81.551)
Epoch: [71][4380/14090]	Time 0.720 (1.554)	Data 0.001 (0.820)	Loss 1.8648 (1.8320)	Prec@1 50.000 (52.085)	Prec@5 79.688 (81.550)
Epoch: [71][4390/14090]	Time 1.593 (1.553)	Data 0.757 (0.819)	Loss 1.8253 (1.8320)	Prec@1 51.562 (52.085)	Prec@5 82.031 (81.549)
Epoch: [71][4400/14090]	Time 0.802 (1.551)	Data 0.096 (0.817)	Loss 1.7226 (1.8320)	Prec@1 50.781 (52.081)	Prec@5 86.719 (81.549)
Epoch: [71][4410/14090]	Time 0.725 (1.550)	Data 0.001 (0.816)	Loss 1.6499 (1.8320)	Prec@1 54.688 (52.080)	Prec@5 85.156 (81.550)
Epoch: [71][4420/14090]	Time 1.230 (1.549)	Data 0.512 (0.815)	Loss 1.6945 (1.8319)	Prec@1 51.562 (52.080)	Prec@5 83.594 (81.553)
Epoch: [71][4430/14090]	Time 0.968 (1.548)	Data 0.255 (0.814)	Loss 1.7811 (1.8320)	Prec@1 56.250 (52.081)	Prec@5 78.906 (81.551)
Epoch: [71][4440/14090]	Time 0.716 (1.547)	Data 0.001 (0.813)	Loss 2.0457 (1.8323)	Prec@1 43.750 (52.072)	Prec@5 78.125 (81.549)
Epoch: [71][4450/14090]	Time 1.587 (1.546)	Data 0.866 (0.812)	Loss 1.5805 (1.8324)	Prec@1 61.719 (52.070)	Prec@5 86.719 (81.545)
Epoch: [71][4460/14090]	Time 0.847 (1.545)	Data 0.001 (0.811)	Loss 1.9727 (1.8324)	Prec@1 49.219 (52.071)	Prec@5 76.562 (81.543)
Epoch: [71][4470/14090]	Time 1.335 (1.544)	Data 0.623 (0.810)	Loss 1.8081 (1.8325)	Prec@1 49.219 (52.069)	Prec@5 82.812 (81.542)
Epoch: [71][4480/14090]	Time 0.729 (1.543)	Data 0.001 (0.809)	Loss 2.2636 (1.8325)	Prec@1 43.750 (52.071)	Prec@5 75.781 (81.542)
Epoch: [71][4490/14090]	Time 2.089 (1.542)	Data 1.394 (0.808)	Loss 1.5732 (1.8323)	Prec@1 52.344 (52.073)	Prec@5 89.844 (81.547)
Epoch: [71][4500/14090]	Time 1.884 (1.541)	Data 1.155 (0.807)	Loss 1.6966 (1.8322)	Prec@1 56.250 (52.078)	Prec@5 86.719 (81.549)
Epoch: [71][4510/14090]	Time 1.215 (1.540)	Data 0.474 (0.806)	Loss 1.9609 (1.8321)	Prec@1 46.094 (52.078)	Prec@5 82.812 (81.551)
Epoch: [71][4520/14090]	Time 0.721 (1.539)	Data 0.001 (0.805)	Loss 1.7650 (1.8319)	Prec@1 55.469 (52.083)	Prec@5 85.938 (81.557)
Epoch: [71][4530/14090]	Time 0.838 (1.537)	Data 0.001 (0.803)	Loss 1.6117 (1.8318)	Prec@1 56.250 (52.085)	Prec@5 85.156 (81.561)
Epoch: [71][4540/14090]	Time 0.885 (1.536)	Data 0.167 (0.802)	Loss 1.6012 (1.8316)	Prec@1 53.906 (52.085)	Prec@5 86.719 (81.566)
Epoch: [71][4550/14090]	Time 0.733 (1.535)	Data 0.001 (0.801)	Loss 1.6450 (1.8318)	Prec@1 56.250 (52.080)	Prec@5 83.594 (81.561)
Epoch: [71][4560/14090]	Time 0.748 (1.534)	Data 0.001 (0.800)	Loss 1.8515 (1.8318)	Prec@1 46.875 (52.082)	Prec@5 84.375 (81.563)
Epoch: [71][4570/14090]	Time 0.736 (1.533)	Data 0.001 (0.799)	Loss 1.8688 (1.8319)	Prec@1 52.344 (52.079)	Prec@5 78.906 (81.562)
Epoch: [71][4580/14090]	Time 1.731 (1.532)	Data 1.057 (0.798)	Loss 1.7645 (1.8320)	Prec@1 56.250 (52.071)	Prec@5 83.594 (81.559)
Epoch: [71][4590/14090]	Time 1.940 (1.531)	Data 1.269 (0.797)	Loss 2.0636 (1.8321)	Prec@1 43.750 (52.071)	Prec@5 78.125 (81.558)
Epoch: [71][4600/14090]	Time 0.839 (1.530)	Data 0.001 (0.796)	Loss 1.8662 (1.8323)	Prec@1 50.000 (52.065)	Prec@5 84.375 (81.556)
Epoch: [71][4610/14090]	Time 0.722 (1.529)	Data 0.001 (0.795)	Loss 1.8069 (1.8321)	Prec@1 52.344 (52.074)	Prec@5 82.031 (81.558)
Epoch: [71][4620/14090]	Time 0.725 (1.528)	Data 0.001 (0.794)	Loss 1.8250 (1.8321)	Prec@1 55.469 (52.074)	Prec@5 81.250 (81.558)
Epoch: [71][4630/14090]	Time 1.740 (1.527)	Data 1.024 (0.793)	Loss 1.7804 (1.8321)	Prec@1 51.562 (52.070)	Prec@5 83.594 (81.558)
Epoch: [71][4640/14090]	Time 0.731 (1.526)	Data 0.001 (0.792)	Loss 1.9712 (1.8321)	Prec@1 50.000 (52.071)	Prec@5 80.469 (81.559)
Epoch: [71][4650/14090]	Time 0.748 (1.525)	Data 0.001 (0.790)	Loss 1.7290 (1.8319)	Prec@1 52.344 (52.074)	Prec@5 82.812 (81.561)
Epoch: [71][4660/14090]	Time 0.750 (1.523)	Data 0.001 (0.789)	Loss 2.0124 (1.8320)	Prec@1 50.000 (52.073)	Prec@5 76.562 (81.562)
Epoch: [71][4670/14090]	Time 2.117 (1.523)	Data 1.337 (0.789)	Loss 1.8728 (1.8319)	Prec@1 55.469 (52.075)	Prec@5 82.031 (81.561)
Epoch: [71][4680/14090]	Time 0.725 (1.521)	Data 0.001 (0.787)	Loss 1.8708 (1.8320)	Prec@1 51.562 (52.073)	Prec@5 82.031 (81.559)
Epoch: [71][4690/14090]	Time 0.729 (1.520)	Data 0.001 (0.786)	Loss 1.3296 (1.8321)	Prec@1 62.500 (52.070)	Prec@5 91.406 (81.561)
Epoch: [71][4700/14090]	Time 0.897 (1.519)	Data 0.185 (0.785)	Loss 1.7308 (1.8320)	Prec@1 57.031 (52.072)	Prec@5 82.812 (81.563)
Epoch: [71][4710/14090]	Time 0.720 (1.519)	Data 0.001 (0.784)	Loss 2.1653 (1.8322)	Prec@1 48.438 (52.066)	Prec@5 72.656 (81.562)
Epoch: [71][4720/14090]	Time 0.745 (1.518)	Data 0.001 (0.783)	Loss 1.8132 (1.8321)	Prec@1 52.344 (52.068)	Prec@5 82.812 (81.565)
Epoch: [71][4730/14090]	Time 0.724 (1.516)	Data 0.001 (0.782)	Loss 1.9281 (1.8321)	Prec@1 46.875 (52.069)	Prec@5 78.906 (81.566)
Epoch: [71][4740/14090]	Time 2.212 (1.516)	Data 1.335 (0.781)	Loss 1.6412 (1.8320)	Prec@1 57.812 (52.066)	Prec@5 83.594 (81.566)
Epoch: [71][4750/14090]	Time 0.933 (1.515)	Data 0.269 (0.781)	Loss 1.6974 (1.8320)	Prec@1 57.031 (52.067)	Prec@5 84.375 (81.567)
Epoch: [71][4760/14090]	Time 0.731 (1.514)	Data 0.001 (0.780)	Loss 1.9880 (1.8320)	Prec@1 46.094 (52.065)	Prec@5 81.250 (81.568)
Epoch: [71][4770/14090]	Time 0.719 (1.513)	Data 0.002 (0.779)	Loss 1.9785 (1.8321)	Prec@1 48.438 (52.063)	Prec@5 78.125 (81.567)
Epoch: [71][4780/14090]	Time 0.725 (1.512)	Data 0.018 (0.778)	Loss 1.7923 (1.8321)	Prec@1 58.594 (52.063)	Prec@5 82.031 (81.564)
Epoch: [71][4790/14090]	Time 0.921 (1.511)	Data 0.246 (0.777)	Loss 1.7956 (1.8321)	Prec@1 49.219 (52.064)	Prec@5 85.156 (81.565)
Epoch: [71][4800/14090]	Time 0.733 (1.510)	Data 0.001 (0.776)	Loss 2.1605 (1.8322)	Prec@1 42.969 (52.061)	Prec@5 74.219 (81.562)
Epoch: [71][4810/14090]	Time 0.870 (1.509)	Data 0.001 (0.775)	Loss 2.0880 (1.8323)	Prec@1 48.438 (52.063)	Prec@5 80.469 (81.562)
Epoch: [71][4820/14090]	Time 2.462 (1.508)	Data 1.788 (0.774)	Loss 2.2575 (1.8322)	Prec@1 43.750 (52.067)	Prec@5 74.219 (81.562)
Epoch: [71][4830/14090]	Time 0.727 (1.508)	Data 0.001 (0.773)	Loss 1.7443 (1.8322)	Prec@1 51.562 (52.066)	Prec@5 82.031 (81.561)
Epoch: [71][4840/14090]	Time 1.176 (1.507)	Data 0.479 (0.772)	Loss 1.7290 (1.8323)	Prec@1 57.812 (52.064)	Prec@5 78.906 (81.558)
Epoch: [71][4850/14090]	Time 0.720 (1.506)	Data 0.001 (0.772)	Loss 1.9291 (1.8323)	Prec@1 49.219 (52.066)	Prec@5 78.125 (81.556)
Epoch: [71][4860/14090]	Time 2.227 (1.505)	Data 1.528 (0.770)	Loss 2.1786 (1.8323)	Prec@1 43.750 (52.062)	Prec@5 74.219 (81.554)
Epoch: [71][4870/14090]	Time 0.749 (1.504)	Data 0.001 (0.770)	Loss 1.7584 (1.8323)	Prec@1 51.562 (52.065)	Prec@5 83.594 (81.553)
Epoch: [71][4880/14090]	Time 1.288 (1.503)	Data 0.458 (0.769)	Loss 2.0011 (1.8323)	Prec@1 52.344 (52.067)	Prec@5 78.125 (81.555)
Epoch: [71][4890/14090]	Time 0.723 (1.502)	Data 0.001 (0.767)	Loss 1.7385 (1.8323)	Prec@1 51.562 (52.067)	Prec@5 80.469 (81.554)
Epoch: [71][4900/14090]	Time 2.287 (1.501)	Data 1.556 (0.767)	Loss 2.0203 (1.8324)	Prec@1 46.094 (52.064)	Prec@5 79.688 (81.549)
Epoch: [71][4910/14090]	Time 0.757 (1.500)	Data 0.001 (0.766)	Loss 1.6436 (1.8324)	Prec@1 56.250 (52.065)	Prec@5 83.594 (81.551)
Epoch: [71][4920/14090]	Time 1.166 (1.499)	Data 0.442 (0.765)	Loss 1.6077 (1.8323)	Prec@1 54.688 (52.063)	Prec@5 84.375 (81.552)
Epoch: [71][4930/14090]	Time 0.747 (1.499)	Data 0.001 (0.764)	Loss 1.4530 (1.8322)	Prec@1 60.938 (52.066)	Prec@5 89.062 (81.554)
Epoch: [71][4940/14090]	Time 1.158 (1.498)	Data 0.466 (0.763)	Loss 1.9119 (1.8320)	Prec@1 42.969 (52.070)	Prec@5 85.156 (81.556)
Epoch: [71][4950/14090]	Time 1.147 (1.497)	Data 0.296 (0.762)	Loss 1.9112 (1.8320)	Prec@1 50.000 (52.068)	Prec@5 79.688 (81.553)
Epoch: [71][4960/14090]	Time 0.725 (1.496)	Data 0.001 (0.762)	Loss 1.8886 (1.8320)	Prec@1 54.688 (52.071)	Prec@5 82.812 (81.551)
Epoch: [71][4970/14090]	Time 0.740 (1.495)	Data 0.001 (0.761)	Loss 1.9221 (1.8321)	Prec@1 51.562 (52.065)	Prec@5 78.906 (81.550)
Epoch: [71][4980/14090]	Time 2.435 (1.494)	Data 1.740 (0.760)	Loss 1.9360 (1.8321)	Prec@1 47.656 (52.069)	Prec@5 80.469 (81.549)
Epoch: [71][4990/14090]	Time 0.716 (1.494)	Data 0.001 (0.759)	Loss 1.5836 (1.8321)	Prec@1 60.156 (52.070)	Prec@5 89.844 (81.548)
Epoch: [71][5000/14090]	Time 0.852 (1.493)	Data 0.156 (0.758)	Loss 1.8801 (1.8322)	Prec@1 49.219 (52.068)	Prec@5 82.812 (81.548)
Epoch: [71][5010/14090]	Time 0.733 (1.492)	Data 0.001 (0.757)	Loss 1.8547 (1.8323)	Prec@1 49.219 (52.061)	Prec@5 82.812 (81.548)
Epoch: [71][5020/14090]	Time 0.860 (1.491)	Data 0.001 (0.756)	Loss 1.9142 (1.8323)	Prec@1 54.688 (52.059)	Prec@5 85.156 (81.549)
Epoch: [71][5030/14090]	Time 0.731 (1.490)	Data 0.001 (0.755)	Loss 1.6033 (1.8322)	Prec@1 57.031 (52.060)	Prec@5 80.469 (81.549)
Epoch: [71][5040/14090]	Time 0.720 (1.489)	Data 0.001 (0.754)	Loss 2.0867 (1.8322)	Prec@1 48.438 (52.061)	Prec@5 75.000 (81.548)
Epoch: [71][5050/14090]	Time 0.724 (1.488)	Data 0.001 (0.753)	Loss 1.7717 (1.8323)	Prec@1 53.906 (52.058)	Prec@5 87.500 (81.546)
Epoch: [71][5060/14090]	Time 2.708 (1.487)	Data 2.000 (0.753)	Loss 1.5825 (1.8323)	Prec@1 57.031 (52.058)	Prec@5 84.375 (81.548)
Epoch: [71][5070/14090]	Time 0.723 (1.486)	Data 0.001 (0.752)	Loss 1.8891 (1.8324)	Prec@1 46.875 (52.052)	Prec@5 82.031 (81.548)
Epoch: [71][5080/14090]	Time 0.722 (1.485)	Data 0.001 (0.751)	Loss 1.9372 (1.8326)	Prec@1 47.656 (52.050)	Prec@5 81.250 (81.546)
Epoch: [71][5090/14090]	Time 0.841 (1.484)	Data 0.001 (0.750)	Loss 1.4288 (1.8324)	Prec@1 60.938 (52.054)	Prec@5 88.281 (81.551)
Epoch: [71][5100/14090]	Time 3.363 (1.484)	Data 2.663 (0.749)	Loss 1.9890 (1.8326)	Prec@1 47.656 (52.054)	Prec@5 78.906 (81.547)
Epoch: [71][5110/14090]	Time 0.783 (1.484)	Data 0.087 (0.749)	Loss 2.0622 (1.8326)	Prec@1 51.562 (52.057)	Prec@5 74.219 (81.547)
Epoch: [71][5120/14090]	Time 0.752 (1.483)	Data 0.001 (0.748)	Loss 1.9203 (1.8327)	Prec@1 51.562 (52.057)	Prec@5 82.031 (81.547)
Epoch: [71][5130/14090]	Time 0.723 (1.482)	Data 0.001 (0.747)	Loss 1.6613 (1.8326)	Prec@1 57.812 (52.059)	Prec@5 87.500 (81.549)
Epoch: [71][5140/14090]	Time 2.970 (1.482)	Data 2.252 (0.747)	Loss 2.1425 (1.8326)	Prec@1 49.219 (52.064)	Prec@5 74.219 (81.548)
Epoch: [71][5150/14090]	Time 1.227 (1.481)	Data 0.561 (0.746)	Loss 1.6078 (1.8325)	Prec@1 60.156 (52.065)	Prec@5 83.594 (81.547)
Epoch: [71][5160/14090]	Time 1.033 (1.480)	Data 0.252 (0.746)	Loss 1.9356 (1.8326)	Prec@1 49.219 (52.064)	Prec@5 78.125 (81.545)
Epoch: [71][5170/14090]	Time 0.726 (1.479)	Data 0.001 (0.745)	Loss 1.8474 (1.8326)	Prec@1 60.938 (52.066)	Prec@5 82.031 (81.547)
Epoch: [71][5180/14090]	Time 2.223 (1.479)	Data 1.529 (0.744)	Loss 1.4407 (1.8325)	Prec@1 59.375 (52.064)	Prec@5 84.375 (81.550)
Epoch: [71][5190/14090]	Time 1.658 (1.479)	Data 0.955 (0.744)	Loss 1.9202 (1.8326)	Prec@1 53.125 (52.065)	Prec@5 75.781 (81.548)
Epoch: [71][5200/14090]	Time 0.722 (1.478)	Data 0.001 (0.743)	Loss 1.6340 (1.8325)	Prec@1 57.812 (52.066)	Prec@5 89.844 (81.550)
Epoch: [71][5210/14090]	Time 0.752 (1.477)	Data 0.001 (0.743)	Loss 2.0395 (1.8326)	Prec@1 50.000 (52.063)	Prec@5 77.344 (81.548)
Epoch: [71][5220/14090]	Time 0.754 (1.477)	Data 0.001 (0.742)	Loss 1.6591 (1.8325)	Prec@1 55.469 (52.063)	Prec@5 84.375 (81.550)
Epoch: [71][5230/14090]	Time 1.538 (1.477)	Data 0.732 (0.742)	Loss 2.0343 (1.8325)	Prec@1 50.000 (52.064)	Prec@5 78.906 (81.552)
Epoch: [71][5240/14090]	Time 0.737 (1.476)	Data 0.001 (0.742)	Loss 1.6807 (1.8326)	Prec@1 52.344 (52.064)	Prec@5 83.594 (81.549)
Epoch: [71][5250/14090]	Time 0.723 (1.476)	Data 0.001 (0.741)	Loss 1.9392 (1.8325)	Prec@1 49.219 (52.070)	Prec@5 80.469 (81.549)
Epoch: [71][5260/14090]	Time 0.733 (1.475)	Data 0.001 (0.740)	Loss 1.9097 (1.8325)	Prec@1 49.219 (52.070)	Prec@5 82.812 (81.548)
Epoch: [71][5270/14090]	Time 1.563 (1.475)	Data 0.843 (0.740)	Loss 1.6457 (1.8325)	Prec@1 57.031 (52.073)	Prec@5 84.375 (81.549)
Epoch: [71][5280/14090]	Time 0.759 (1.474)	Data 0.001 (0.740)	Loss 1.7438 (1.8326)	Prec@1 50.000 (52.076)	Prec@5 82.812 (81.547)
Epoch: [71][5290/14090]	Time 0.752 (1.473)	Data 0.001 (0.738)	Loss 1.8691 (1.8324)	Prec@1 50.000 (52.082)	Prec@5 80.469 (81.549)
Epoch: [71][5300/14090]	Time 1.546 (1.472)	Data 0.725 (0.738)	Loss 1.8531 (1.8325)	Prec@1 53.125 (52.080)	Prec@5 82.031 (81.545)
Epoch: [71][5310/14090]	Time 0.726 (1.473)	Data 0.001 (0.738)	Loss 1.9241 (1.8325)	Prec@1 50.781 (52.077)	Prec@5 79.688 (81.543)
Epoch: [71][5320/14090]	Time 0.731 (1.472)	Data 0.001 (0.737)	Loss 1.8378 (1.8326)	Prec@1 53.125 (52.077)	Prec@5 79.688 (81.541)
Epoch: [71][5330/14090]	Time 0.746 (1.471)	Data 0.001 (0.736)	Loss 1.9406 (1.8326)	Prec@1 44.531 (52.078)	Prec@5 80.469 (81.541)
Epoch: [71][5340/14090]	Time 2.417 (1.471)	Data 1.700 (0.736)	Loss 1.8794 (1.8325)	Prec@1 47.656 (52.080)	Prec@5 81.250 (81.542)
Epoch: [71][5350/14090]	Time 0.837 (1.470)	Data 0.155 (0.735)	Loss 1.8057 (1.8324)	Prec@1 52.344 (52.086)	Prec@5 78.906 (81.544)
Epoch: [71][5360/14090]	Time 1.318 (1.470)	Data 0.596 (0.735)	Loss 1.5078 (1.8324)	Prec@1 53.906 (52.083)	Prec@5 89.062 (81.546)
Epoch: [71][5370/14090]	Time 2.988 (1.469)	Data 2.202 (0.735)	Loss 1.7846 (1.8324)	Prec@1 53.125 (52.083)	Prec@5 83.594 (81.546)
Epoch: [71][5380/14090]	Time 2.698 (1.469)	Data 2.007 (0.734)	Loss 1.8360 (1.8325)	Prec@1 53.906 (52.080)	Prec@5 79.688 (81.544)
Epoch: [71][5390/14090]	Time 0.726 (1.468)	Data 0.001 (0.733)	Loss 1.7543 (1.8324)	Prec@1 53.125 (52.083)	Prec@5 85.156 (81.548)
Epoch: [71][5400/14090]	Time 1.496 (1.468)	Data 0.798 (0.733)	Loss 1.8709 (1.8323)	Prec@1 52.344 (52.085)	Prec@5 78.906 (81.549)
Epoch: [71][5410/14090]	Time 0.721 (1.467)	Data 0.001 (0.732)	Loss 1.7651 (1.8324)	Prec@1 52.344 (52.084)	Prec@5 82.812 (81.547)
Epoch: [71][5420/14090]	Time 1.743 (1.467)	Data 1.062 (0.732)	Loss 1.8824 (1.8324)	Prec@1 51.562 (52.082)	Prec@5 84.375 (81.547)
Epoch: [71][5430/14090]	Time 1.713 (1.467)	Data 1.006 (0.732)	Loss 2.1090 (1.8325)	Prec@1 46.094 (52.079)	Prec@5 76.562 (81.547)
Epoch: [71][5440/14090]	Time 0.858 (1.466)	Data 0.001 (0.731)	Loss 1.8601 (1.8325)	Prec@1 53.906 (52.078)	Prec@5 80.469 (81.547)
Epoch: [71][5450/14090]	Time 1.563 (1.466)	Data 0.863 (0.731)	Loss 1.7931 (1.8325)	Prec@1 55.469 (52.078)	Prec@5 81.250 (81.547)
Epoch: [71][5460/14090]	Time 2.961 (1.466)	Data 2.267 (0.731)	Loss 1.8902 (1.8325)	Prec@1 46.875 (52.073)	Prec@5 82.031 (81.547)
Epoch: [71][5470/14090]	Time 0.726 (1.465)	Data 0.001 (0.731)	Loss 2.1555 (1.8326)	Prec@1 45.312 (52.068)	Prec@5 73.438 (81.545)
Epoch: [71][5480/14090]	Time 0.751 (1.465)	Data 0.001 (0.730)	Loss 1.9072 (1.8326)	Prec@1 50.000 (52.069)	Prec@5 82.031 (81.547)
Epoch: [71][5490/14090]	Time 0.848 (1.465)	Data 0.146 (0.730)	Loss 1.9078 (1.8326)	Prec@1 45.312 (52.067)	Prec@5 82.812 (81.548)
Epoch: [71][5500/14090]	Time 1.695 (1.465)	Data 0.968 (0.730)	Loss 1.8413 (1.8327)	Prec@1 46.875 (52.065)	Prec@5 82.031 (81.547)
Epoch: [71][5510/14090]	Time 0.883 (1.464)	Data 0.001 (0.730)	Loss 1.9653 (1.8327)	Prec@1 44.531 (52.065)	Prec@5 82.812 (81.549)
Epoch: [71][5520/14090]	Time 1.311 (1.464)	Data 0.629 (0.729)	Loss 2.0179 (1.8327)	Prec@1 40.625 (52.060)	Prec@5 83.594 (81.552)
Epoch: [71][5530/14090]	Time 3.730 (1.464)	Data 3.046 (0.729)	Loss 1.7854 (1.8326)	Prec@1 60.938 (52.063)	Prec@5 81.250 (81.555)
Epoch: [71][5540/14090]	Time 1.292 (1.463)	Data 0.588 (0.729)	Loss 1.6614 (1.8326)	Prec@1 56.250 (52.064)	Prec@5 79.688 (81.554)
Epoch: [71][5550/14090]	Time 0.727 (1.463)	Data 0.001 (0.728)	Loss 1.8511 (1.8326)	Prec@1 49.219 (52.060)	Prec@5 82.031 (81.556)
Epoch: [71][5560/14090]	Time 0.749 (1.462)	Data 0.001 (0.728)	Loss 1.8032 (1.8325)	Prec@1 57.031 (52.061)	Prec@5 78.906 (81.555)
Epoch: [71][5570/14090]	Time 3.812 (1.463)	Data 3.094 (0.728)	Loss 1.7252 (1.8324)	Prec@1 55.469 (52.063)	Prec@5 82.031 (81.559)
Epoch: [71][5580/14090]	Time 0.903 (1.462)	Data 0.001 (0.727)	Loss 1.6918 (1.8325)	Prec@1 54.688 (52.060)	Prec@5 84.375 (81.558)
Epoch: [71][5590/14090]	Time 0.748 (1.462)	Data 0.001 (0.727)	Loss 1.9484 (1.8327)	Prec@1 50.000 (52.054)	Prec@5 78.906 (81.556)
Epoch: [71][5600/14090]	Time 0.736 (1.461)	Data 0.001 (0.727)	Loss 1.9349 (1.8327)	Prec@1 48.438 (52.053)	Prec@5 82.031 (81.555)
Epoch: [71][5610/14090]	Time 2.181 (1.462)	Data 1.510 (0.727)	Loss 1.7425 (1.8325)	Prec@1 54.688 (52.054)	Prec@5 85.156 (81.559)
Epoch: [71][5620/14090]	Time 1.180 (1.461)	Data 0.489 (0.726)	Loss 1.9021 (1.8325)	Prec@1 46.875 (52.052)	Prec@5 77.344 (81.562)
Epoch: [71][5630/14090]	Time 0.754 (1.461)	Data 0.001 (0.726)	Loss 1.7705 (1.8324)	Prec@1 50.000 (52.054)	Prec@5 82.031 (81.564)
Epoch: [71][5640/14090]	Time 0.747 (1.461)	Data 0.001 (0.726)	Loss 1.8149 (1.8324)	Prec@1 53.125 (52.053)	Prec@5 79.688 (81.563)
Epoch: [71][5650/14090]	Time 3.312 (1.461)	Data 2.509 (0.726)	Loss 1.7139 (1.8323)	Prec@1 55.469 (52.056)	Prec@5 82.031 (81.562)
Epoch: [71][5660/14090]	Time 0.733 (1.460)	Data 0.001 (0.726)	Loss 1.8000 (1.8323)	Prec@1 50.781 (52.058)	Prec@5 83.594 (81.563)
Epoch: [71][5670/14090]	Time 0.745 (1.460)	Data 0.001 (0.725)	Loss 2.1023 (1.8324)	Prec@1 50.781 (52.055)	Prec@5 76.562 (81.561)
Epoch: [71][5680/14090]	Time 0.724 (1.460)	Data 0.001 (0.725)	Loss 1.9558 (1.8325)	Prec@1 54.688 (52.053)	Prec@5 79.688 (81.559)
Epoch: [71][5690/14090]	Time 5.672 (1.460)	Data 4.963 (0.725)	Loss 1.6281 (1.8326)	Prec@1 60.156 (52.055)	Prec@5 87.500 (81.559)
Epoch: [71][5700/14090]	Time 0.749 (1.460)	Data 0.001 (0.725)	Loss 1.8173 (1.8326)	Prec@1 53.906 (52.054)	Prec@5 82.812 (81.559)
Epoch: [71][5710/14090]	Time 0.721 (1.460)	Data 0.001 (0.725)	Loss 1.8772 (1.8326)	Prec@1 51.562 (52.056)	Prec@5 77.344 (81.559)
Epoch: [71][5720/14090]	Time 0.827 (1.459)	Data 0.001 (0.724)	Loss 1.8373 (1.8326)	Prec@1 53.906 (52.056)	Prec@5 83.594 (81.559)
Epoch: [71][5730/14090]	Time 3.294 (1.460)	Data 2.601 (0.725)	Loss 2.0135 (1.8326)	Prec@1 44.531 (52.054)	Prec@5 74.219 (81.558)
Epoch: [71][5740/14090]	Time 0.725 (1.459)	Data 0.001 (0.724)	Loss 2.0486 (1.8326)	Prec@1 49.219 (52.054)	Prec@5 75.781 (81.559)
Epoch: [71][5750/14090]	Time 1.215 (1.459)	Data 0.495 (0.724)	Loss 1.9648 (1.8328)	Prec@1 50.781 (52.050)	Prec@5 80.469 (81.558)
Epoch: [71][5760/14090]	Time 0.723 (1.459)	Data 0.001 (0.724)	Loss 1.8301 (1.8326)	Prec@1 50.781 (52.052)	Prec@5 79.688 (81.560)
Epoch: [71][5770/14090]	Time 2.912 (1.459)	Data 2.239 (0.724)	Loss 1.8943 (1.8327)	Prec@1 51.562 (52.049)	Prec@5 82.031 (81.557)
Epoch: [71][5780/14090]	Time 0.730 (1.459)	Data 0.001 (0.724)	Loss 1.7714 (1.8328)	Prec@1 53.906 (52.047)	Prec@5 80.469 (81.555)
Epoch: [71][5790/14090]	Time 2.494 (1.459)	Data 1.672 (0.724)	Loss 1.7722 (1.8328)	Prec@1 46.094 (52.044)	Prec@5 82.812 (81.555)
Epoch: [71][5800/14090]	Time 1.759 (1.458)	Data 1.033 (0.724)	Loss 1.5288 (1.8328)	Prec@1 54.688 (52.044)	Prec@5 89.062 (81.558)
Epoch: [71][5810/14090]	Time 2.926 (1.459)	Data 2.227 (0.724)	Loss 1.6854 (1.8328)	Prec@1 57.031 (52.042)	Prec@5 82.812 (81.559)
Epoch: [71][5820/14090]	Time 0.732 (1.459)	Data 0.015 (0.724)	Loss 1.8288 (1.8328)	Prec@1 52.344 (52.041)	Prec@5 85.156 (81.561)
Epoch: [71][5830/14090]	Time 3.372 (1.459)	Data 2.678 (0.724)	Loss 1.8867 (1.8328)	Prec@1 51.562 (52.044)	Prec@5 81.250 (81.561)
Epoch: [71][5840/14090]	Time 0.752 (1.459)	Data 0.001 (0.724)	Loss 1.7733 (1.8327)	Prec@1 54.688 (52.044)	Prec@5 78.125 (81.562)
Epoch: [71][5850/14090]	Time 0.722 (1.459)	Data 0.001 (0.724)	Loss 1.7545 (1.8327)	Prec@1 53.125 (52.044)	Prec@5 82.812 (81.560)
Epoch: [71][5860/14090]	Time 0.845 (1.459)	Data 0.001 (0.724)	Loss 1.7284 (1.8329)	Prec@1 48.438 (52.036)	Prec@5 87.500 (81.557)
Epoch: [71][5870/14090]	Time 2.958 (1.459)	Data 2.285 (0.724)	Loss 1.6445 (1.8330)	Prec@1 64.844 (52.038)	Prec@5 85.938 (81.557)
Epoch: [71][5880/14090]	Time 3.463 (1.459)	Data 2.786 (0.724)	Loss 1.9533 (1.8331)	Prec@1 57.031 (52.037)	Prec@5 77.344 (81.557)
Epoch: [71][5890/14090]	Time 0.752 (1.459)	Data 0.001 (0.724)	Loss 1.8656 (1.8330)	Prec@1 50.781 (52.038)	Prec@5 83.594 (81.559)
Epoch: [71][5900/14090]	Time 0.843 (1.459)	Data 0.139 (0.724)	Loss 1.7970 (1.8330)	Prec@1 45.312 (52.035)	Prec@5 83.594 (81.560)
Epoch: [71][5910/14090]	Time 1.802 (1.459)	Data 1.104 (0.724)	Loss 1.7042 (1.8331)	Prec@1 55.469 (52.031)	Prec@5 82.812 (81.560)
Epoch: [71][5920/14090]	Time 3.023 (1.459)	Data 2.338 (0.724)	Loss 1.8817 (1.8331)	Prec@1 44.531 (52.028)	Prec@5 84.375 (81.560)
Epoch: [71][5930/14090]	Time 2.090 (1.459)	Data 1.273 (0.724)	Loss 1.9208 (1.8331)	Prec@1 50.000 (52.028)	Prec@5 79.688 (81.560)
Epoch: [71][5940/14090]	Time 1.689 (1.459)	Data 0.965 (0.724)	Loss 1.7274 (1.8330)	Prec@1 57.812 (52.029)	Prec@5 83.594 (81.562)
Epoch: [71][5950/14090]	Time 1.787 (1.459)	Data 1.083 (0.724)	Loss 1.7923 (1.8331)	Prec@1 53.906 (52.027)	Prec@5 81.250 (81.562)
Epoch: [71][5960/14090]	Time 5.368 (1.459)	Data 4.684 (0.725)	Loss 1.6443 (1.8331)	Prec@1 57.031 (52.029)	Prec@5 82.812 (81.562)
Epoch: [71][5970/14090]	Time 0.760 (1.459)	Data 0.001 (0.724)	Loss 2.0675 (1.8332)	Prec@1 46.875 (52.029)	Prec@5 77.344 (81.561)
Epoch: [71][5980/14090]	Time 0.719 (1.459)	Data 0.001 (0.724)	Loss 1.7419 (1.8334)	Prec@1 53.906 (52.024)	Prec@5 83.594 (81.560)
Epoch: [71][5990/14090]	Time 0.721 (1.459)	Data 0.001 (0.724)	Loss 1.9145 (1.8333)	Prec@1 52.344 (52.025)	Prec@5 81.250 (81.562)
Epoch: [71][6000/14090]	Time 1.736 (1.459)	Data 0.944 (0.724)	Loss 1.5813 (1.8332)	Prec@1 57.031 (52.022)	Prec@5 85.156 (81.564)
Epoch: [71][6010/14090]	Time 0.724 (1.459)	Data 0.001 (0.724)	Loss 1.5948 (1.8332)	Prec@1 60.938 (52.024)	Prec@5 83.594 (81.564)
Epoch: [71][6020/14090]	Time 0.724 (1.459)	Data 0.001 (0.725)	Loss 2.0740 (1.8331)	Prec@1 46.094 (52.024)	Prec@5 78.906 (81.566)
Epoch: [71][6030/14090]	Time 1.321 (1.459)	Data 0.618 (0.724)	Loss 1.5781 (1.8331)	Prec@1 57.031 (52.024)	Prec@5 85.938 (81.567)
Epoch: [71][6040/14090]	Time 4.141 (1.459)	Data 3.430 (0.725)	Loss 1.7942 (1.8332)	Prec@1 52.344 (52.021)	Prec@5 81.250 (81.563)
Epoch: [71][6050/14090]	Time 0.725 (1.459)	Data 0.001 (0.725)	Loss 1.8785 (1.8333)	Prec@1 55.469 (52.022)	Prec@5 78.906 (81.563)
Epoch: [71][6060/14090]	Time 0.751 (1.460)	Data 0.001 (0.725)	Loss 1.7044 (1.8331)	Prec@1 54.688 (52.025)	Prec@5 83.594 (81.565)
Epoch: [71][6070/14090]	Time 0.830 (1.459)	Data 0.001 (0.725)	Loss 1.8461 (1.8331)	Prec@1 50.000 (52.025)	Prec@5 81.250 (81.565)
Epoch: [71][6080/14090]	Time 0.720 (1.460)	Data 0.001 (0.725)	Loss 1.9764 (1.8331)	Prec@1 41.406 (52.023)	Prec@5 76.562 (81.565)
Epoch: [71][6090/14090]	Time 3.461 (1.460)	Data 2.767 (0.725)	Loss 1.9665 (1.8332)	Prec@1 48.438 (52.021)	Prec@5 78.906 (81.565)
Epoch: [71][6100/14090]	Time 0.731 (1.460)	Data 0.001 (0.725)	Loss 1.7194 (1.8333)	Prec@1 57.812 (52.020)	Prec@5 84.375 (81.563)
Epoch: [71][6110/14090]	Time 0.726 (1.460)	Data 0.001 (0.725)	Loss 1.7953 (1.8334)	Prec@1 53.906 (52.016)	Prec@5 81.250 (81.562)
Epoch: [71][6120/14090]	Time 0.903 (1.460)	Data 0.180 (0.725)	Loss 1.7710 (1.8335)	Prec@1 53.906 (52.017)	Prec@5 78.906 (81.561)
Epoch: [71][6130/14090]	Time 1.754 (1.460)	Data 1.066 (0.725)	Loss 2.1139 (1.8336)	Prec@1 46.094 (52.017)	Prec@5 78.906 (81.560)
Epoch: [71][6140/14090]	Time 0.871 (1.460)	Data 0.010 (0.725)	Loss 1.9330 (1.8335)	Prec@1 52.344 (52.020)	Prec@5 80.469 (81.561)
Epoch: [71][6150/14090]	Time 0.917 (1.460)	Data 0.196 (0.725)	Loss 2.0043 (1.8334)	Prec@1 49.219 (52.023)	Prec@5 80.469 (81.563)
Epoch: [71][6160/14090]	Time 2.891 (1.460)	Data 2.217 (0.725)	Loss 1.9478 (1.8335)	Prec@1 53.125 (52.019)	Prec@5 82.031 (81.562)
Epoch: [71][6170/14090]	Time 2.231 (1.461)	Data 1.527 (0.726)	Loss 1.7163 (1.8335)	Prec@1 57.031 (52.022)	Prec@5 83.594 (81.563)
Epoch: [71][6180/14090]	Time 0.741 (1.460)	Data 0.001 (0.726)	Loss 2.3184 (1.8337)	Prec@1 47.656 (52.019)	Prec@5 72.656 (81.557)
Epoch: [71][6190/14090]	Time 1.937 (1.460)	Data 1.258 (0.726)	Loss 1.8580 (1.8337)	Prec@1 54.688 (52.023)	Prec@5 82.812 (81.557)
Epoch: [71][6200/14090]	Time 2.392 (1.461)	Data 1.700 (0.726)	Loss 1.8100 (1.8337)	Prec@1 51.562 (52.023)	Prec@5 85.938 (81.556)
Epoch: [71][6210/14090]	Time 4.946 (1.461)	Data 4.118 (0.726)	Loss 2.0099 (1.8338)	Prec@1 48.438 (52.021)	Prec@5 77.344 (81.554)
Epoch: [71][6220/14090]	Time 0.760 (1.461)	Data 0.001 (0.726)	Loss 1.8689 (1.8338)	Prec@1 50.781 (52.018)	Prec@5 83.594 (81.553)
Epoch: [71][6230/14090]	Time 1.946 (1.461)	Data 1.237 (0.726)	Loss 1.9751 (1.8339)	Prec@1 52.344 (52.020)	Prec@5 75.781 (81.554)
Epoch: [71][6240/14090]	Time 0.727 (1.461)	Data 0.001 (0.726)	Loss 1.9524 (1.8338)	Prec@1 49.219 (52.022)	Prec@5 82.031 (81.556)
Epoch: [71][6250/14090]	Time 3.047 (1.461)	Data 2.370 (0.727)	Loss 1.9820 (1.8338)	Prec@1 47.656 (52.020)	Prec@5 78.906 (81.556)
Epoch: [71][6260/14090]	Time 0.720 (1.462)	Data 0.001 (0.727)	Loss 1.8567 (1.8339)	Prec@1 50.781 (52.017)	Prec@5 80.469 (81.554)
Epoch: [71][6270/14090]	Time 2.586 (1.462)	Data 1.895 (0.727)	Loss 1.8107 (1.8338)	Prec@1 53.906 (52.018)	Prec@5 80.469 (81.558)
Epoch: [71][6280/14090]	Time 1.017 (1.462)	Data 0.191 (0.727)	Loss 1.5974 (1.8338)	Prec@1 57.812 (52.018)	Prec@5 89.844 (81.560)
Epoch: [71][6290/14090]	Time 0.719 (1.462)	Data 0.001 (0.728)	Loss 1.8832 (1.8338)	Prec@1 51.562 (52.016)	Prec@5 80.469 (81.561)
Epoch: [71][6300/14090]	Time 1.011 (1.463)	Data 0.331 (0.728)	Loss 1.7665 (1.8338)	Prec@1 52.344 (52.018)	Prec@5 83.594 (81.560)
Epoch: [71][6310/14090]	Time 0.723 (1.462)	Data 0.001 (0.728)	Loss 1.8801 (1.8338)	Prec@1 45.312 (52.017)	Prec@5 82.812 (81.560)
Epoch: [71][6320/14090]	Time 0.737 (1.463)	Data 0.002 (0.728)	Loss 2.0580 (1.8338)	Prec@1 47.656 (52.017)	Prec@5 75.000 (81.560)
Epoch: [71][6330/14090]	Time 0.731 (1.463)	Data 0.001 (0.728)	Loss 1.5427 (1.8338)	Prec@1 60.156 (52.018)	Prec@5 85.938 (81.561)
Epoch: [71][6340/14090]	Time 0.810 (1.463)	Data 0.115 (0.728)	Loss 2.0231 (1.8338)	Prec@1 50.781 (52.018)	Prec@5 77.344 (81.558)
Epoch: [71][6350/14090]	Time 0.867 (1.463)	Data 0.001 (0.729)	Loss 1.7110 (1.8339)	Prec@1 50.781 (52.018)	Prec@5 84.375 (81.558)
Epoch: [71][6360/14090]	Time 0.824 (1.463)	Data 0.126 (0.729)	Loss 1.9286 (1.8339)	Prec@1 51.562 (52.016)	Prec@5 81.250 (81.558)
Epoch: [71][6370/14090]	Time 0.937 (1.464)	Data 0.238 (0.729)	Loss 1.7719 (1.8340)	Prec@1 50.000 (52.011)	Prec@5 82.812 (81.557)
Epoch: [71][6380/14090]	Time 1.294 (1.463)	Data 0.611 (0.729)	Loss 2.1044 (1.8341)	Prec@1 49.219 (52.012)	Prec@5 77.344 (81.556)
Epoch: [71][6390/14090]	Time 0.719 (1.464)	Data 0.001 (0.729)	Loss 1.8077 (1.8340)	Prec@1 49.219 (52.012)	Prec@5 83.594 (81.559)
Epoch: [71][6400/14090]	Time 1.245 (1.464)	Data 0.552 (0.730)	Loss 1.6940 (1.8340)	Prec@1 53.125 (52.011)	Prec@5 85.156 (81.559)
Epoch: [71][6410/14090]	Time 0.739 (1.464)	Data 0.001 (0.729)	Loss 1.8042 (1.8339)	Prec@1 51.562 (52.010)	Prec@5 82.812 (81.560)
Epoch: [71][6420/14090]	Time 0.850 (1.464)	Data 0.001 (0.729)	Loss 1.6219 (1.8338)	Prec@1 60.156 (52.014)	Prec@5 84.375 (81.561)
Epoch: [71][6430/14090]	Time 1.776 (1.464)	Data 1.090 (0.730)	Loss 1.6944 (1.8338)	Prec@1 55.469 (52.012)	Prec@5 84.375 (81.562)
Epoch: [71][6440/14090]	Time 1.017 (1.464)	Data 0.348 (0.730)	Loss 1.5698 (1.8337)	Prec@1 50.000 (52.012)	Prec@5 85.938 (81.562)
Epoch: [71][6450/14090]	Time 1.592 (1.464)	Data 0.903 (0.730)	Loss 1.6575 (1.8336)	Prec@1 62.500 (52.013)	Prec@5 85.938 (81.564)
Epoch: [71][6460/14090]	Time 0.731 (1.464)	Data 0.001 (0.730)	Loss 1.7266 (1.8336)	Prec@1 51.562 (52.014)	Prec@5 83.594 (81.565)
Epoch: [71][6470/14090]	Time 1.819 (1.465)	Data 1.155 (0.731)	Loss 1.5489 (1.8334)	Prec@1 59.375 (52.018)	Prec@5 80.469 (81.566)
Epoch: [71][6480/14090]	Time 0.724 (1.465)	Data 0.001 (0.731)	Loss 1.7359 (1.8335)	Prec@1 50.000 (52.015)	Prec@5 85.156 (81.566)
Epoch: [71][6490/14090]	Time 0.824 (1.465)	Data 0.001 (0.730)	Loss 1.6954 (1.8336)	Prec@1 55.469 (52.014)	Prec@5 83.594 (81.563)
Epoch: [71][6500/14090]	Time 2.178 (1.465)	Data 1.452 (0.730)	Loss 1.9281 (1.8338)	Prec@1 50.781 (52.011)	Prec@5 80.469 (81.564)
Epoch: [71][6510/14090]	Time 1.362 (1.465)	Data 0.676 (0.731)	Loss 1.8687 (1.8338)	Prec@1 49.219 (52.011)	Prec@5 85.156 (81.563)
Epoch: [71][6520/14090]	Time 1.386 (1.465)	Data 0.686 (0.731)	Loss 1.9180 (1.8339)	Prec@1 53.906 (52.011)	Prec@5 83.594 (81.563)
Epoch: [71][6530/14090]	Time 0.724 (1.465)	Data 0.001 (0.731)	Loss 1.7663 (1.8338)	Prec@1 52.344 (52.012)	Prec@5 83.594 (81.562)
Epoch: [71][6540/14090]	Time 2.755 (1.466)	Data 2.086 (0.731)	Loss 1.7550 (1.8338)	Prec@1 50.781 (52.014)	Prec@5 81.250 (81.563)
Epoch: [71][6550/14090]	Time 1.023 (1.466)	Data 0.353 (0.732)	Loss 1.5908 (1.8338)	Prec@1 54.688 (52.015)	Prec@5 88.281 (81.565)
Epoch: [71][6560/14090]	Time 0.883 (1.466)	Data 0.001 (0.732)	Loss 2.1360 (1.8338)	Prec@1 46.094 (52.010)	Prec@5 74.219 (81.565)
Epoch: [71][6570/14090]	Time 0.742 (1.465)	Data 0.001 (0.731)	Loss 1.5594 (1.8338)	Prec@1 58.594 (52.012)	Prec@5 89.844 (81.567)
Epoch: [71][6580/14090]	Time 2.096 (1.466)	Data 1.421 (0.732)	Loss 1.8284 (1.8339)	Prec@1 46.875 (52.010)	Prec@5 82.031 (81.565)
Epoch: [71][6590/14090]	Time 0.726 (1.466)	Data 0.001 (0.732)	Loss 2.0743 (1.8340)	Prec@1 41.406 (52.007)	Prec@5 76.562 (81.564)
Epoch: [71][6600/14090]	Time 0.814 (1.466)	Data 0.089 (0.732)	Loss 1.8205 (1.8339)	Prec@1 58.594 (52.011)	Prec@5 81.250 (81.565)
Epoch: [71][6610/14090]	Time 2.114 (1.466)	Data 1.418 (0.732)	Loss 1.9206 (1.8340)	Prec@1 47.656 (52.007)	Prec@5 78.906 (81.561)
Epoch: [71][6620/14090]	Time 3.620 (1.466)	Data 2.916 (0.732)	Loss 1.9323 (1.8340)	Prec@1 48.438 (52.006)	Prec@5 77.344 (81.562)
Epoch: [71][6630/14090]	Time 0.826 (1.466)	Data 0.001 (0.732)	Loss 1.6965 (1.8339)	Prec@1 60.156 (52.006)	Prec@5 82.031 (81.563)
Epoch: [71][6640/14090]	Time 1.125 (1.467)	Data 0.433 (0.732)	Loss 1.9039 (1.8340)	Prec@1 50.000 (52.005)	Prec@5 80.469 (81.560)
Epoch: [71][6650/14090]	Time 1.121 (1.466)	Data 0.414 (0.732)	Loss 1.7793 (1.8339)	Prec@1 56.250 (52.006)	Prec@5 82.031 (81.562)
Epoch: [71][6660/14090]	Time 5.264 (1.467)	Data 4.593 (0.733)	Loss 1.6938 (1.8338)	Prec@1 57.031 (52.009)	Prec@5 81.250 (81.563)
Epoch: [71][6670/14090]	Time 2.752 (1.467)	Data 2.035 (0.733)	Loss 1.7110 (1.8337)	Prec@1 59.375 (52.013)	Prec@5 81.250 (81.566)
Epoch: [71][6680/14090]	Time 1.315 (1.466)	Data 0.606 (0.732)	Loss 1.8794 (1.8338)	Prec@1 49.219 (52.012)	Prec@5 82.031 (81.565)
Epoch: [71][6690/14090]	Time 0.721 (1.466)	Data 0.001 (0.732)	Loss 1.8216 (1.8339)	Prec@1 57.812 (52.009)	Prec@5 79.688 (81.561)
Epoch: [71][6700/14090]	Time 1.339 (1.466)	Data 0.533 (0.732)	Loss 1.6285 (1.8338)	Prec@1 56.250 (52.011)	Prec@5 82.031 (81.563)
Epoch: [71][6710/14090]	Time 3.774 (1.466)	Data 3.110 (0.732)	Loss 1.6007 (1.8338)	Prec@1 60.938 (52.014)	Prec@5 81.250 (81.563)
Epoch: [71][6720/14090]	Time 0.716 (1.466)	Data 0.001 (0.732)	Loss 1.7360 (1.8338)	Prec@1 56.250 (52.012)	Prec@5 82.812 (81.560)
Epoch: [71][6730/14090]	Time 1.634 (1.466)	Data 0.932 (0.732)	Loss 1.8265 (1.8338)	Prec@1 50.781 (52.014)	Prec@5 81.250 (81.560)
Epoch: [71][6740/14090]	Time 0.728 (1.465)	Data 0.001 (0.731)	Loss 1.7541 (1.8337)	Prec@1 52.344 (52.019)	Prec@5 82.031 (81.562)
Epoch: [71][6750/14090]	Time 2.745 (1.465)	Data 2.027 (0.731)	Loss 1.8246 (1.8338)	Prec@1 60.156 (52.018)	Prec@5 78.125 (81.560)
Epoch: [71][6760/14090]	Time 0.726 (1.466)	Data 0.001 (0.732)	Loss 1.5847 (1.8338)	Prec@1 57.812 (52.018)	Prec@5 85.938 (81.561)
Epoch: [71][6770/14090]	Time 1.601 (1.468)	Data 0.784 (0.734)	Loss 1.7003 (1.8337)	Prec@1 56.250 (52.021)	Prec@5 84.375 (81.563)
Epoch: [71][6780/14090]	Time 3.438 (1.469)	Data 2.744 (0.735)	Loss 1.8378 (1.8337)	Prec@1 51.562 (52.023)	Prec@5 78.125 (81.563)
Epoch: [71][6790/14090]	Time 0.725 (1.471)	Data 0.001 (0.737)	Loss 1.7795 (1.8338)	Prec@1 58.594 (52.020)	Prec@5 82.031 (81.562)
Epoch: [71][6800/14090]	Time 0.731 (1.472)	Data 0.001 (0.738)	Loss 1.6189 (1.8337)	Prec@1 53.906 (52.021)	Prec@5 85.938 (81.564)
Epoch: [71][6810/14090]	Time 1.858 (1.473)	Data 1.168 (0.739)	Loss 2.0259 (1.8336)	Prec@1 43.750 (52.022)	Prec@5 76.562 (81.563)
Epoch: [71][6820/14090]	Time 2.566 (1.474)	Data 1.886 (0.740)	Loss 1.9532 (1.8337)	Prec@1 50.781 (52.021)	Prec@5 85.156 (81.562)
Epoch: [71][6830/14090]	Time 2.060 (1.475)	Data 1.372 (0.741)	Loss 1.8219 (1.8337)	Prec@1 50.781 (52.020)	Prec@5 78.125 (81.558)
Epoch: [71][6840/14090]	Time 0.857 (1.474)	Data 0.001 (0.740)	Loss 1.6840 (1.8337)	Prec@1 56.250 (52.021)	Prec@5 84.375 (81.557)
Epoch: [71][6850/14090]	Time 0.736 (1.473)	Data 0.001 (0.739)	Loss 2.1576 (1.8338)	Prec@1 39.062 (52.019)	Prec@5 78.906 (81.556)
Epoch: [71][6860/14090]	Time 0.741 (1.472)	Data 0.001 (0.738)	Loss 1.6434 (1.8339)	Prec@1 51.562 (52.016)	Prec@5 83.594 (81.555)
Epoch: [71][6870/14090]	Time 0.749 (1.471)	Data 0.001 (0.737)	Loss 2.1109 (1.8338)	Prec@1 46.094 (52.017)	Prec@5 75.000 (81.558)
Epoch: [71][6880/14090]	Time 0.762 (1.470)	Data 0.001 (0.736)	Loss 1.8554 (1.8340)	Prec@1 50.781 (52.014)	Prec@5 82.031 (81.554)
Epoch: [71][6890/14090]	Time 0.755 (1.469)	Data 0.001 (0.735)	Loss 1.9762 (1.8341)	Prec@1 50.000 (52.015)	Prec@5 78.125 (81.551)
Epoch: [71][6900/14090]	Time 0.759 (1.468)	Data 0.001 (0.734)	Loss 1.8821 (1.8342)	Prec@1 53.906 (52.013)	Prec@5 77.344 (81.552)
Epoch: [71][6910/14090]	Time 0.874 (1.467)	Data 0.001 (0.733)	Loss 1.9263 (1.8342)	Prec@1 53.906 (52.013)	Prec@5 79.688 (81.552)
Epoch: [71][6920/14090]	Time 0.743 (1.466)	Data 0.001 (0.732)	Loss 1.7609 (1.8342)	Prec@1 56.250 (52.011)	Prec@5 81.250 (81.552)
Epoch: [71][6930/14090]	Time 0.754 (1.465)	Data 0.001 (0.731)	Loss 1.9284 (1.8342)	Prec@1 46.094 (52.010)	Prec@5 79.688 (81.551)
Epoch: [71][6940/14090]	Time 0.748 (1.464)	Data 0.001 (0.729)	Loss 1.5883 (1.8342)	Prec@1 58.594 (52.007)	Prec@5 86.719 (81.549)
Epoch: [71][6950/14090]	Time 0.749 (1.463)	Data 0.001 (0.728)	Loss 1.7640 (1.8342)	Prec@1 46.094 (52.007)	Prec@5 83.594 (81.548)
Epoch: [71][6960/14090]	Time 0.731 (1.462)	Data 0.001 (0.727)	Loss 1.9188 (1.8342)	Prec@1 53.906 (52.006)	Prec@5 82.812 (81.548)
Epoch: [71][6970/14090]	Time 0.741 (1.461)	Data 0.001 (0.726)	Loss 1.9103 (1.8342)	Prec@1 57.031 (52.008)	Prec@5 79.688 (81.550)
Epoch: [71][6980/14090]	Time 0.862 (1.460)	Data 0.001 (0.725)	Loss 1.8880 (1.8342)	Prec@1 50.781 (52.006)	Prec@5 82.031 (81.550)
Epoch: [71][6990/14090]	Time 0.770 (1.459)	Data 0.001 (0.724)	Loss 1.8638 (1.8343)	Prec@1 55.469 (52.004)	Prec@5 78.906 (81.548)
Epoch: [71][7000/14090]	Time 0.752 (1.458)	Data 0.001 (0.723)	Loss 1.6522 (1.8343)	Prec@1 55.469 (52.004)	Prec@5 85.938 (81.549)
Epoch: [71][7010/14090]	Time 0.768 (1.457)	Data 0.001 (0.722)	Loss 1.6834 (1.8343)	Prec@1 57.031 (52.004)	Prec@5 82.812 (81.548)
Epoch: [71][7020/14090]	Time 0.774 (1.456)	Data 0.001 (0.721)	Loss 1.9436 (1.8343)	Prec@1 45.312 (52.004)	Prec@5 75.781 (81.547)
Epoch: [71][7030/14090]	Time 0.761 (1.455)	Data 0.001 (0.720)	Loss 1.7457 (1.8344)	Prec@1 55.469 (52.002)	Prec@5 78.906 (81.546)
Epoch: [71][7040/14090]	Time 0.759 (1.454)	Data 0.001 (0.719)	Loss 1.6697 (1.8343)	Prec@1 54.688 (52.001)	Prec@5 82.031 (81.546)
Epoch: [71][7050/14090]	Time 0.924 (1.453)	Data 0.001 (0.718)	Loss 1.7824 (1.8343)	Prec@1 53.906 (52.001)	Prec@5 78.125 (81.547)
Epoch: [71][7060/14090]	Time 0.765 (1.452)	Data 0.001 (0.717)	Loss 1.7650 (1.8343)	Prec@1 55.469 (52.001)	Prec@5 77.344 (81.544)
Epoch: [71][7070/14090]	Time 0.763 (1.451)	Data 0.001 (0.716)	Loss 1.6685 (1.8343)	Prec@1 55.469 (51.998)	Prec@5 87.500 (81.546)
Epoch: [71][7080/14090]	Time 0.749 (1.450)	Data 0.001 (0.715)	Loss 1.8674 (1.8344)	Prec@1 51.562 (51.994)	Prec@5 84.375 (81.544)
Epoch: [71][7090/14090]	Time 0.767 (1.449)	Data 0.001 (0.714)	Loss 2.2268 (1.8344)	Prec@1 44.531 (51.994)	Prec@5 74.219 (81.542)
Epoch: [71][7100/14090]	Time 0.759 (1.448)	Data 0.001 (0.713)	Loss 1.7204 (1.8344)	Prec@1 53.125 (51.993)	Prec@5 84.375 (81.543)
Epoch: [71][7110/14090]	Time 0.733 (1.447)	Data 0.001 (0.712)	Loss 1.7182 (1.8344)	Prec@1 57.812 (51.993)	Prec@5 82.031 (81.543)
Epoch: [71][7120/14090]	Time 0.858 (1.446)	Data 0.001 (0.711)	Loss 1.7721 (1.8343)	Prec@1 54.688 (51.995)	Prec@5 84.375 (81.545)
Epoch: [71][7130/14090]	Time 0.741 (1.445)	Data 0.001 (0.710)	Loss 1.7825 (1.8343)	Prec@1 55.469 (51.995)	Prec@5 85.938 (81.544)
Epoch: [71][7140/14090]	Time 0.754 (1.444)	Data 0.001 (0.709)	Loss 1.9510 (1.8344)	Prec@1 50.000 (51.995)	Prec@5 80.469 (81.544)
Epoch: [71][7150/14090]	Time 0.752 (1.443)	Data 0.001 (0.708)	Loss 1.9293 (1.8345)	Prec@1 48.438 (51.994)	Prec@5 79.688 (81.541)
Epoch: [71][7160/14090]	Time 0.738 (1.442)	Data 0.001 (0.707)	Loss 1.7600 (1.8346)	Prec@1 51.562 (51.990)	Prec@5 81.250 (81.538)
Epoch: [71][7170/14090]	Time 0.756 (1.441)	Data 0.001 (0.706)	Loss 1.7398 (1.8345)	Prec@1 57.031 (51.993)	Prec@5 84.375 (81.540)
Epoch: [71][7180/14090]	Time 0.786 (1.440)	Data 0.001 (0.705)	Loss 1.6486 (1.8346)	Prec@1 57.031 (51.991)	Prec@5 82.812 (81.537)
Epoch: [71][7190/14090]	Time 0.847 (1.440)	Data 0.001 (0.704)	Loss 1.9456 (1.8345)	Prec@1 47.656 (51.992)	Prec@5 79.688 (81.539)
Epoch: [71][7200/14090]	Time 0.746 (1.439)	Data 0.001 (0.703)	Loss 1.7645 (1.8345)	Prec@1 53.906 (51.993)	Prec@5 83.594 (81.537)
Epoch: [71][7210/14090]	Time 0.757 (1.438)	Data 0.001 (0.702)	Loss 2.0665 (1.8345)	Prec@1 49.219 (51.993)	Prec@5 78.125 (81.537)
Epoch: [71][7220/14090]	Time 0.766 (1.437)	Data 0.001 (0.701)	Loss 1.9625 (1.8346)	Prec@1 46.094 (51.991)	Prec@5 81.250 (81.535)
Epoch: [71][7230/14090]	Time 0.770 (1.436)	Data 0.001 (0.700)	Loss 1.7611 (1.8344)	Prec@1 53.125 (51.994)	Prec@5 88.281 (81.538)
Epoch: [71][7240/14090]	Time 0.746 (1.435)	Data 0.001 (0.699)	Loss 1.8420 (1.8345)	Prec@1 50.000 (51.992)	Prec@5 80.469 (81.536)
Epoch: [71][7250/14090]	Time 0.737 (1.434)	Data 0.001 (0.698)	Loss 1.7252 (1.8345)	Prec@1 54.688 (51.992)	Prec@5 85.938 (81.536)
Epoch: [71][7260/14090]	Time 0.878 (1.433)	Data 0.001 (0.697)	Loss 1.9289 (1.8346)	Prec@1 50.000 (51.991)	Prec@5 80.469 (81.534)
Epoch: [71][7270/14090]	Time 0.723 (1.432)	Data 0.001 (0.696)	Loss 1.8385 (1.8347)	Prec@1 52.344 (51.990)	Prec@5 80.469 (81.534)
Epoch: [71][7280/14090]	Time 0.756 (1.431)	Data 0.001 (0.695)	Loss 1.7447 (1.8347)	Prec@1 53.125 (51.990)	Prec@5 82.812 (81.533)
Epoch: [71][7290/14090]	Time 0.739 (1.430)	Data 0.001 (0.694)	Loss 2.0002 (1.8346)	Prec@1 47.656 (51.991)	Prec@5 78.906 (81.534)
Epoch: [71][7300/14090]	Time 0.771 (1.429)	Data 0.001 (0.694)	Loss 1.6627 (1.8347)	Prec@1 52.344 (51.988)	Prec@5 83.594 (81.533)
Epoch: [71][7310/14090]	Time 0.731 (1.428)	Data 0.001 (0.693)	Loss 1.7655 (1.8347)	Prec@1 58.594 (51.990)	Prec@5 80.469 (81.533)
Epoch: [71][7320/14090]	Time 0.748 (1.428)	Data 0.001 (0.692)	Loss 1.6895 (1.8347)	Prec@1 55.469 (51.993)	Prec@5 81.250 (81.531)
Epoch: [71][7330/14090]	Time 0.866 (1.427)	Data 0.001 (0.691)	Loss 1.8080 (1.8347)	Prec@1 49.219 (51.991)	Prec@5 82.031 (81.532)
Epoch: [71][7340/14090]	Time 0.754 (1.426)	Data 0.001 (0.690)	Loss 1.9405 (1.8347)	Prec@1 53.906 (51.991)	Prec@5 80.469 (81.530)
Epoch: [71][7350/14090]	Time 0.738 (1.425)	Data 0.001 (0.689)	Loss 2.0682 (1.8348)	Prec@1 46.875 (51.990)	Prec@5 78.125 (81.527)
Epoch: [71][7360/14090]	Time 0.719 (1.424)	Data 0.001 (0.688)	Loss 1.9081 (1.8349)	Prec@1 53.906 (51.990)	Prec@5 78.125 (81.525)
Epoch: [71][7370/14090]	Time 0.734 (1.423)	Data 0.001 (0.687)	Loss 2.0230 (1.8349)	Prec@1 50.000 (51.988)	Prec@5 79.688 (81.525)
Epoch: [71][7380/14090]	Time 0.768 (1.422)	Data 0.001 (0.686)	Loss 1.7157 (1.8350)	Prec@1 55.469 (51.988)	Prec@5 85.156 (81.526)
Epoch: [71][7390/14090]	Time 0.756 (1.421)	Data 0.001 (0.685)	Loss 2.0686 (1.8350)	Prec@1 47.656 (51.987)	Prec@5 77.344 (81.526)
Epoch: [71][7400/14090]	Time 0.879 (1.420)	Data 0.001 (0.684)	Loss 1.7189 (1.8349)	Prec@1 54.688 (51.988)	Prec@5 83.594 (81.525)
Epoch: [71][7410/14090]	Time 0.752 (1.420)	Data 0.001 (0.683)	Loss 1.7668 (1.8350)	Prec@1 54.688 (51.988)	Prec@5 82.031 (81.523)
Epoch: [71][7420/14090]	Time 0.744 (1.419)	Data 0.001 (0.682)	Loss 1.7406 (1.8351)	Prec@1 57.031 (51.986)	Prec@5 83.594 (81.520)
Epoch: [71][7430/14090]	Time 0.739 (1.418)	Data 0.001 (0.681)	Loss 1.7338 (1.8352)	Prec@1 57.031 (51.987)	Prec@5 85.938 (81.520)
Epoch: [71][7440/14090]	Time 0.739 (1.417)	Data 0.001 (0.680)	Loss 1.8887 (1.8351)	Prec@1 53.906 (51.988)	Prec@5 81.250 (81.522)
Epoch: [71][7450/14090]	Time 0.756 (1.416)	Data 0.001 (0.680)	Loss 1.6404 (1.8351)	Prec@1 53.906 (51.989)	Prec@5 85.938 (81.524)
Epoch: [71][7460/14090]	Time 0.750 (1.415)	Data 0.001 (0.679)	Loss 1.7114 (1.8350)	Prec@1 56.250 (51.991)	Prec@5 85.938 (81.526)
Epoch: [71][7470/14090]	Time 0.894 (1.414)	Data 0.001 (0.678)	Loss 1.7080 (1.8350)	Prec@1 53.906 (51.990)	Prec@5 83.594 (81.524)
Epoch: [71][7480/14090]	Time 0.744 (1.413)	Data 0.001 (0.677)	Loss 1.9142 (1.8350)	Prec@1 49.219 (51.986)	Prec@5 80.469 (81.522)
Epoch: [71][7490/14090]	Time 0.748 (1.413)	Data 0.001 (0.676)	Loss 1.8829 (1.8350)	Prec@1 53.125 (51.987)	Prec@5 81.250 (81.523)
Epoch: [71][7500/14090]	Time 0.738 (1.412)	Data 0.001 (0.675)	Loss 1.8929 (1.8350)	Prec@1 49.219 (51.987)	Prec@5 81.250 (81.522)
Epoch: [71][7510/14090]	Time 0.726 (1.411)	Data 0.001 (0.674)	Loss 2.0498 (1.8351)	Prec@1 50.781 (51.986)	Prec@5 74.219 (81.518)
Epoch: [71][7520/14090]	Time 0.754 (1.410)	Data 0.001 (0.673)	Loss 1.8974 (1.8352)	Prec@1 50.000 (51.987)	Prec@5 82.031 (81.517)
Epoch: [71][7530/14090]	Time 0.754 (1.409)	Data 0.001 (0.672)	Loss 1.8011 (1.8352)	Prec@1 57.812 (51.988)	Prec@5 85.156 (81.515)
Epoch: [71][7540/14090]	Time 0.863 (1.408)	Data 0.001 (0.671)	Loss 1.8681 (1.8352)	Prec@1 50.000 (51.987)	Prec@5 77.344 (81.516)
Epoch: [71][7550/14090]	Time 0.733 (1.407)	Data 0.001 (0.671)	Loss 1.9944 (1.8353)	Prec@1 51.562 (51.985)	Prec@5 75.781 (81.516)
Epoch: [71][7560/14090]	Time 0.741 (1.406)	Data 0.001 (0.670)	Loss 2.1156 (1.8352)	Prec@1 42.969 (51.987)	Prec@5 78.906 (81.517)
Epoch: [71][7570/14090]	Time 0.748 (1.406)	Data 0.001 (0.669)	Loss 1.9631 (1.8353)	Prec@1 44.531 (51.985)	Prec@5 77.344 (81.515)
Epoch: [71][7580/14090]	Time 0.738 (1.405)	Data 0.001 (0.668)	Loss 1.9034 (1.8353)	Prec@1 49.219 (51.986)	Prec@5 82.031 (81.516)
Epoch: [71][7590/14090]	Time 0.745 (1.404)	Data 0.001 (0.667)	Loss 1.6784 (1.8352)	Prec@1 57.031 (51.988)	Prec@5 89.062 (81.517)
Epoch: [71][7600/14090]	Time 0.758 (1.403)	Data 0.001 (0.666)	Loss 1.9923 (1.8353)	Prec@1 50.000 (51.989)	Prec@5 78.125 (81.516)
Epoch: [71][7610/14090]	Time 0.881 (1.402)	Data 0.001 (0.665)	Loss 1.9113 (1.8353)	Prec@1 54.688 (51.990)	Prec@5 79.688 (81.517)
Epoch: [71][7620/14090]	Time 0.720 (1.401)	Data 0.001 (0.664)	Loss 1.5922 (1.8352)	Prec@1 57.031 (51.993)	Prec@5 84.375 (81.518)
Epoch: [71][7630/14090]	Time 0.750 (1.401)	Data 0.001 (0.664)	Loss 1.9682 (1.8352)	Prec@1 50.781 (51.993)	Prec@5 77.344 (81.518)
Epoch: [71][7640/14090]	Time 0.768 (1.400)	Data 0.001 (0.663)	Loss 1.9146 (1.8353)	Prec@1 45.312 (51.992)	Prec@5 80.469 (81.516)
Epoch: [71][7650/14090]	Time 0.744 (1.399)	Data 0.001 (0.662)	Loss 2.0082 (1.8353)	Prec@1 42.969 (51.992)	Prec@5 79.688 (81.515)
Epoch: [71][7660/14090]	Time 0.756 (1.398)	Data 0.001 (0.661)	Loss 1.6071 (1.8353)	Prec@1 57.031 (51.991)	Prec@5 85.938 (81.516)
Epoch: [71][7670/14090]	Time 0.766 (1.397)	Data 0.001 (0.660)	Loss 1.8515 (1.8353)	Prec@1 50.000 (51.992)	Prec@5 83.594 (81.516)
Epoch: [71][7680/14090]	Time 0.832 (1.396)	Data 0.001 (0.659)	Loss 2.1232 (1.8354)	Prec@1 47.656 (51.989)	Prec@5 73.438 (81.513)
Epoch: [71][7690/14090]	Time 0.771 (1.396)	Data 0.001 (0.658)	Loss 1.6368 (1.8353)	Prec@1 59.375 (51.989)	Prec@5 80.469 (81.512)
Epoch: [71][7700/14090]	Time 0.757 (1.395)	Data 0.001 (0.658)	Loss 1.9022 (1.8354)	Prec@1 49.219 (51.989)	Prec@5 80.469 (81.513)
Epoch: [71][7710/14090]	Time 0.729 (1.394)	Data 0.001 (0.657)	Loss 1.8176 (1.8354)	Prec@1 49.219 (51.986)	Prec@5 79.688 (81.511)
Epoch: [71][7720/14090]	Time 0.753 (1.393)	Data 0.001 (0.656)	Loss 1.9670 (1.8354)	Prec@1 50.000 (51.985)	Prec@5 78.125 (81.510)
Epoch: [71][7730/14090]	Time 0.748 (1.392)	Data 0.001 (0.655)	Loss 1.6580 (1.8355)	Prec@1 50.781 (51.983)	Prec@5 85.938 (81.509)
Epoch: [71][7740/14090]	Time 0.737 (1.392)	Data 0.001 (0.654)	Loss 2.0491 (1.8355)	Prec@1 52.344 (51.983)	Prec@5 79.688 (81.510)
Epoch: [71][7750/14090]	Time 0.892 (1.391)	Data 0.001 (0.653)	Loss 1.6904 (1.8355)	Prec@1 57.031 (51.984)	Prec@5 86.719 (81.512)
Epoch: [71][7760/14090]	Time 0.742 (1.390)	Data 0.001 (0.652)	Loss 1.9892 (1.8354)	Prec@1 50.000 (51.987)	Prec@5 79.688 (81.513)
Epoch: [71][7770/14090]	Time 0.732 (1.389)	Data 0.001 (0.652)	Loss 1.7606 (1.8354)	Prec@1 57.812 (51.988)	Prec@5 82.031 (81.515)
Epoch: [71][7780/14090]	Time 0.733 (1.388)	Data 0.001 (0.651)	Loss 1.9391 (1.8353)	Prec@1 50.781 (51.991)	Prec@5 79.688 (81.516)
Epoch: [71][7790/14090]	Time 0.741 (1.388)	Data 0.001 (0.650)	Loss 1.7855 (1.8353)	Prec@1 51.562 (51.992)	Prec@5 84.375 (81.517)
Epoch: [71][7800/14090]	Time 0.738 (1.387)	Data 0.001 (0.649)	Loss 2.0605 (1.8353)	Prec@1 50.781 (51.994)	Prec@5 73.438 (81.516)
Epoch: [71][7810/14090]	Time 0.761 (1.386)	Data 0.001 (0.648)	Loss 1.8043 (1.8354)	Prec@1 53.906 (51.993)	Prec@5 83.594 (81.514)
Epoch: [71][7820/14090]	Time 0.887 (1.385)	Data 0.001 (0.647)	Loss 1.7466 (1.8354)	Prec@1 58.594 (51.993)	Prec@5 83.594 (81.512)
Epoch: [71][7830/14090]	Time 0.732 (1.384)	Data 0.001 (0.647)	Loss 1.7100 (1.8355)	Prec@1 57.031 (51.989)	Prec@5 86.719 (81.511)
Epoch: [71][7840/14090]	Time 0.751 (1.384)	Data 0.001 (0.646)	Loss 1.9380 (1.8355)	Prec@1 48.438 (51.990)	Prec@5 81.250 (81.511)
Epoch: [71][7850/14090]	Time 0.775 (1.383)	Data 0.001 (0.645)	Loss 1.9421 (1.8355)	Prec@1 44.531 (51.988)	Prec@5 80.469 (81.511)
Epoch: [71][7860/14090]	Time 0.730 (1.382)	Data 0.001 (0.644)	Loss 1.9878 (1.8355)	Prec@1 46.875 (51.988)	Prec@5 81.250 (81.513)
Epoch: [71][7870/14090]	Time 0.757 (1.381)	Data 0.001 (0.643)	Loss 1.7818 (1.8356)	Prec@1 50.781 (51.985)	Prec@5 82.812 (81.510)
Epoch: [71][7880/14090]	Time 0.751 (1.380)	Data 0.001 (0.643)	Loss 1.7996 (1.8356)	Prec@1 52.344 (51.986)	Prec@5 80.469 (81.509)
Epoch: [71][7890/14090]	Time 0.864 (1.380)	Data 0.001 (0.642)	Loss 1.5242 (1.8356)	Prec@1 60.156 (51.986)	Prec@5 86.719 (81.509)
Epoch: [71][7900/14090]	Time 0.724 (1.379)	Data 0.001 (0.641)	Loss 1.7302 (1.8356)	Prec@1 52.344 (51.987)	Prec@5 82.031 (81.508)
Epoch: [71][7910/14090]	Time 0.728 (1.378)	Data 0.001 (0.640)	Loss 1.8777 (1.8356)	Prec@1 51.562 (51.988)	Prec@5 80.469 (81.508)
Epoch: [71][7920/14090]	Time 0.734 (1.377)	Data 0.001 (0.639)	Loss 1.6835 (1.8355)	Prec@1 52.344 (51.989)	Prec@5 89.844 (81.508)
Epoch: [71][7930/14090]	Time 0.764 (1.377)	Data 0.001 (0.638)	Loss 1.5166 (1.8355)	Prec@1 57.031 (51.988)	Prec@5 85.156 (81.508)
Epoch: [71][7940/14090]	Time 0.751 (1.376)	Data 0.001 (0.638)	Loss 1.7835 (1.8355)	Prec@1 50.000 (51.989)	Prec@5 80.469 (81.506)
Epoch: [71][7950/14090]	Time 0.778 (1.375)	Data 0.001 (0.637)	Loss 1.8040 (1.8355)	Prec@1 55.469 (51.989)	Prec@5 82.031 (81.508)
Epoch: [71][7960/14090]	Time 0.845 (1.374)	Data 0.001 (0.636)	Loss 2.0109 (1.8355)	Prec@1 48.438 (51.989)	Prec@5 80.469 (81.508)
Epoch: [71][7970/14090]	Time 0.726 (1.373)	Data 0.001 (0.635)	Loss 2.0389 (1.8356)	Prec@1 43.750 (51.986)	Prec@5 79.688 (81.507)
Epoch: [71][7980/14090]	Time 0.757 (1.373)	Data 0.001 (0.635)	Loss 1.7633 (1.8356)	Prec@1 51.562 (51.988)	Prec@5 82.031 (81.507)
Epoch: [71][7990/14090]	Time 0.772 (1.372)	Data 0.001 (0.634)	Loss 1.7787 (1.8355)	Prec@1 53.906 (51.991)	Prec@5 80.469 (81.509)
Epoch: [71][8000/14090]	Time 0.755 (1.371)	Data 0.001 (0.633)	Loss 1.6412 (1.8354)	Prec@1 54.688 (51.989)	Prec@5 85.156 (81.510)
Epoch: [71][8010/14090]	Time 0.736 (1.370)	Data 0.001 (0.632)	Loss 1.9008 (1.8353)	Prec@1 52.344 (51.991)	Prec@5 82.031 (81.512)
Epoch: [71][8020/14090]	Time 0.748 (1.370)	Data 0.001 (0.631)	Loss 1.8856 (1.8353)	Prec@1 42.969 (51.990)	Prec@5 79.688 (81.511)
Epoch: [71][8030/14090]	Time 0.896 (1.369)	Data 0.001 (0.631)	Loss 1.9745 (1.8353)	Prec@1 47.656 (51.991)	Prec@5 78.906 (81.512)
Epoch: [71][8040/14090]	Time 0.749 (1.368)	Data 0.001 (0.630)	Loss 1.7474 (1.8353)	Prec@1 49.219 (51.988)	Prec@5 87.500 (81.511)
Epoch: [71][8050/14090]	Time 0.724 (1.367)	Data 0.001 (0.629)	Loss 2.1689 (1.8354)	Prec@1 46.094 (51.989)	Prec@5 74.219 (81.511)
Epoch: [71][8060/14090]	Time 0.728 (1.367)	Data 0.001 (0.628)	Loss 1.8556 (1.8353)	Prec@1 46.094 (51.990)	Prec@5 81.250 (81.511)
Epoch: [71][8070/14090]	Time 0.736 (1.366)	Data 0.001 (0.627)	Loss 1.9658 (1.8354)	Prec@1 44.531 (51.986)	Prec@5 78.125 (81.509)
Epoch: [71][8080/14090]	Time 0.751 (1.365)	Data 0.001 (0.627)	Loss 1.9035 (1.8354)	Prec@1 54.688 (51.988)	Prec@5 79.688 (81.509)
Epoch: [71][8090/14090]	Time 0.733 (1.364)	Data 0.001 (0.626)	Loss 2.0315 (1.8354)	Prec@1 46.875 (51.989)	Prec@5 82.031 (81.511)
Epoch: [71][8100/14090]	Time 0.890 (1.364)	Data 0.001 (0.625)	Loss 2.0904 (1.8354)	Prec@1 50.000 (51.988)	Prec@5 76.562 (81.511)
Epoch: [71][8110/14090]	Time 0.736 (1.363)	Data 0.001 (0.624)	Loss 2.0238 (1.8354)	Prec@1 48.438 (51.989)	Prec@5 78.906 (81.512)
Epoch: [71][8120/14090]	Time 0.742 (1.362)	Data 0.001 (0.624)	Loss 1.8925 (1.8355)	Prec@1 52.344 (51.988)	Prec@5 80.469 (81.510)
Epoch: [71][8130/14090]	Time 0.735 (1.361)	Data 0.001 (0.623)	Loss 1.9907 (1.8356)	Prec@1 43.750 (51.986)	Prec@5 79.688 (81.510)
Epoch: [71][8140/14090]	Time 0.766 (1.361)	Data 0.001 (0.622)	Loss 1.8515 (1.8355)	Prec@1 55.469 (51.986)	Prec@5 80.469 (81.511)
Epoch: [71][8150/14090]	Time 0.753 (1.360)	Data 0.001 (0.621)	Loss 1.9386 (1.8355)	Prec@1 48.438 (51.985)	Prec@5 79.688 (81.511)
Epoch: [71][8160/14090]	Time 0.730 (1.359)	Data 0.001 (0.621)	Loss 2.1073 (1.8356)	Prec@1 45.312 (51.982)	Prec@5 75.000 (81.510)
Epoch: [71][8170/14090]	Time 0.865 (1.359)	Data 0.001 (0.620)	Loss 1.9438 (1.8356)	Prec@1 50.781 (51.981)	Prec@5 78.906 (81.509)
Epoch: [71][8180/14090]	Time 0.731 (1.358)	Data 0.001 (0.619)	Loss 2.1158 (1.8356)	Prec@1 46.094 (51.982)	Prec@5 76.562 (81.509)
Epoch: [71][8190/14090]	Time 0.745 (1.357)	Data 0.001 (0.618)	Loss 1.7095 (1.8356)	Prec@1 53.125 (51.983)	Prec@5 83.594 (81.508)
Epoch: [71][8200/14090]	Time 0.757 (1.356)	Data 0.001 (0.618)	Loss 1.7984 (1.8356)	Prec@1 49.219 (51.982)	Prec@5 81.250 (81.508)
Epoch: [71][8210/14090]	Time 0.725 (1.356)	Data 0.001 (0.617)	Loss 2.3268 (1.8357)	Prec@1 42.188 (51.980)	Prec@5 71.094 (81.506)
Epoch: [71][8220/14090]	Time 0.755 (1.355)	Data 0.001 (0.616)	Loss 2.0674 (1.8357)	Prec@1 45.312 (51.981)	Prec@5 78.906 (81.507)
Epoch: [71][8230/14090]	Time 0.754 (1.354)	Data 0.001 (0.615)	Loss 1.7070 (1.8356)	Prec@1 53.906 (51.981)	Prec@5 84.375 (81.508)
Epoch: [71][8240/14090]	Time 0.857 (1.354)	Data 0.001 (0.615)	Loss 1.7651 (1.8356)	Prec@1 53.906 (51.981)	Prec@5 85.156 (81.506)
Epoch: [71][8250/14090]	Time 0.765 (1.353)	Data 0.001 (0.614)	Loss 1.8977 (1.8356)	Prec@1 49.219 (51.980)	Prec@5 81.250 (81.505)
Epoch: [71][8260/14090]	Time 0.758 (1.352)	Data 0.001 (0.613)	Loss 1.7195 (1.8356)	Prec@1 51.562 (51.982)	Prec@5 85.156 (81.505)
Epoch: [71][8270/14090]	Time 0.760 (1.351)	Data 0.001 (0.612)	Loss 1.7154 (1.8356)	Prec@1 55.469 (51.980)	Prec@5 86.719 (81.505)
Epoch: [71][8280/14090]	Time 0.763 (1.351)	Data 0.001 (0.612)	Loss 1.6561 (1.8356)	Prec@1 58.594 (51.979)	Prec@5 82.031 (81.506)
Epoch: [71][8290/14090]	Time 0.751 (1.350)	Data 0.001 (0.611)	Loss 1.7155 (1.8357)	Prec@1 53.906 (51.977)	Prec@5 82.812 (81.505)
Epoch: [71][8300/14090]	Time 0.771 (1.349)	Data 0.001 (0.610)	Loss 1.9623 (1.8358)	Prec@1 47.656 (51.973)	Prec@5 76.562 (81.505)
Epoch: [71][8310/14090]	Time 0.876 (1.349)	Data 0.001 (0.609)	Loss 1.9428 (1.8358)	Prec@1 47.656 (51.972)	Prec@5 85.156 (81.507)
Epoch: [71][8320/14090]	Time 0.735 (1.348)	Data 0.001 (0.609)	Loss 1.7013 (1.8359)	Prec@1 54.688 (51.971)	Prec@5 84.375 (81.506)
Epoch: [71][8330/14090]	Time 0.752 (1.347)	Data 0.001 (0.608)	Loss 1.9566 (1.8358)	Prec@1 50.781 (51.974)	Prec@5 80.469 (81.508)
Epoch: [71][8340/14090]	Time 0.730 (1.346)	Data 0.001 (0.607)	Loss 2.0654 (1.8359)	Prec@1 47.656 (51.970)	Prec@5 75.781 (81.506)
Epoch: [71][8350/14090]	Time 0.743 (1.346)	Data 0.002 (0.606)	Loss 1.7386 (1.8360)	Prec@1 55.469 (51.967)	Prec@5 83.594 (81.505)
Epoch: [71][8360/14090]	Time 0.735 (1.345)	Data 0.001 (0.606)	Loss 1.9194 (1.8362)	Prec@1 55.469 (51.966)	Prec@5 75.000 (81.502)
Epoch: [71][8370/14090]	Time 0.738 (1.344)	Data 0.001 (0.605)	Loss 1.6935 (1.8361)	Prec@1 58.594 (51.971)	Prec@5 83.594 (81.501)
Epoch: [71][8380/14090]	Time 0.867 (1.344)	Data 0.001 (0.604)	Loss 1.7097 (1.8361)	Prec@1 55.469 (51.970)	Prec@5 82.812 (81.499)
Epoch: [71][8390/14090]	Time 0.726 (1.343)	Data 0.001 (0.604)	Loss 1.7043 (1.8361)	Prec@1 53.906 (51.971)	Prec@5 82.031 (81.498)
Epoch: [71][8400/14090]	Time 0.720 (1.342)	Data 0.001 (0.603)	Loss 1.6057 (1.8360)	Prec@1 56.250 (51.972)	Prec@5 86.719 (81.500)
Epoch: [71][8410/14090]	Time 0.735 (1.342)	Data 0.001 (0.602)	Loss 1.8225 (1.8360)	Prec@1 50.781 (51.972)	Prec@5 82.812 (81.499)
Epoch: [71][8420/14090]	Time 0.781 (1.341)	Data 0.001 (0.601)	Loss 1.8789 (1.8361)	Prec@1 50.000 (51.969)	Prec@5 81.250 (81.501)
Epoch: [71][8430/14090]	Time 0.764 (1.340)	Data 0.001 (0.601)	Loss 1.8703 (1.8361)	Prec@1 48.438 (51.968)	Prec@5 78.906 (81.502)
Epoch: [71][8440/14090]	Time 0.740 (1.340)	Data 0.001 (0.600)	Loss 2.1223 (1.8361)	Prec@1 45.312 (51.967)	Prec@5 72.656 (81.501)
Epoch: [71][8450/14090]	Time 0.877 (1.339)	Data 0.001 (0.599)	Loss 1.8023 (1.8361)	Prec@1 54.688 (51.968)	Prec@5 79.688 (81.500)
Epoch: [71][8460/14090]	Time 0.731 (1.338)	Data 0.001 (0.599)	Loss 1.9264 (1.8361)	Prec@1 51.562 (51.969)	Prec@5 76.562 (81.500)
Epoch: [71][8470/14090]	Time 0.755 (1.338)	Data 0.001 (0.598)	Loss 2.0889 (1.8362)	Prec@1 47.656 (51.968)	Prec@5 74.219 (81.497)
Epoch: [71][8480/14090]	Time 0.736 (1.337)	Data 0.001 (0.597)	Loss 1.9535 (1.8363)	Prec@1 46.094 (51.967)	Prec@5 76.562 (81.495)
Epoch: [71][8490/14090]	Time 0.744 (1.336)	Data 0.001 (0.596)	Loss 2.1845 (1.8364)	Prec@1 43.750 (51.964)	Prec@5 77.344 (81.494)
Epoch: [71][8500/14090]	Time 0.757 (1.336)	Data 0.001 (0.596)	Loss 1.8595 (1.8364)	Prec@1 50.781 (51.964)	Prec@5 77.344 (81.493)
Epoch: [71][8510/14090]	Time 0.762 (1.335)	Data 0.001 (0.595)	Loss 1.7576 (1.8365)	Prec@1 50.000 (51.960)	Prec@5 85.156 (81.492)
Epoch: [71][8520/14090]	Time 0.847 (1.334)	Data 0.001 (0.594)	Loss 2.0276 (1.8365)	Prec@1 49.219 (51.961)	Prec@5 78.125 (81.493)
Epoch: [71][8530/14090]	Time 0.731 (1.333)	Data 0.001 (0.594)	Loss 1.8655 (1.8365)	Prec@1 57.031 (51.959)	Prec@5 77.344 (81.492)
Epoch: [71][8540/14090]	Time 0.749 (1.333)	Data 0.001 (0.593)	Loss 1.9804 (1.8365)	Prec@1 46.094 (51.958)	Prec@5 82.031 (81.492)
Epoch: [71][8550/14090]	Time 0.767 (1.332)	Data 0.001 (0.592)	Loss 1.6846 (1.8365)	Prec@1 54.688 (51.959)	Prec@5 81.250 (81.492)
Epoch: [71][8560/14090]	Time 0.758 (1.332)	Data 0.001 (0.592)	Loss 1.6398 (1.8365)	Prec@1 55.469 (51.956)	Prec@5 86.719 (81.492)
Epoch: [71][8570/14090]	Time 0.755 (1.331)	Data 0.001 (0.591)	Loss 2.0821 (1.8366)	Prec@1 44.531 (51.954)	Prec@5 78.125 (81.490)
Epoch: [71][8580/14090]	Time 0.753 (1.330)	Data 0.001 (0.590)	Loss 1.7601 (1.8367)	Prec@1 54.688 (51.952)	Prec@5 79.688 (81.489)
Epoch: [71][8590/14090]	Time 0.880 (1.330)	Data 0.001 (0.590)	Loss 1.4590 (1.8368)	Prec@1 64.062 (51.952)	Prec@5 87.500 (81.489)
Epoch: [71][8600/14090]	Time 0.748 (1.329)	Data 0.001 (0.589)	Loss 1.8383 (1.8367)	Prec@1 46.875 (51.951)	Prec@5 78.125 (81.488)
Epoch: [71][8610/14090]	Time 0.743 (1.328)	Data 0.001 (0.588)	Loss 2.2399 (1.8367)	Prec@1 42.188 (51.951)	Prec@5 77.344 (81.489)
Epoch: [71][8620/14090]	Time 0.772 (1.328)	Data 0.002 (0.587)	Loss 1.6918 (1.8366)	Prec@1 57.031 (51.953)	Prec@5 81.250 (81.492)
Epoch: [71][8630/14090]	Time 0.774 (1.327)	Data 0.001 (0.587)	Loss 1.7127 (1.8366)	Prec@1 43.750 (51.952)	Prec@5 84.375 (81.492)
Epoch: [71][8640/14090]	Time 0.761 (1.326)	Data 0.001 (0.586)	Loss 1.8498 (1.8366)	Prec@1 52.344 (51.951)	Prec@5 81.250 (81.491)
Epoch: [71][8650/14090]	Time 0.750 (1.326)	Data 0.001 (0.585)	Loss 1.8395 (1.8366)	Prec@1 53.125 (51.953)	Prec@5 81.250 (81.491)
Epoch: [71][8660/14090]	Time 0.833 (1.325)	Data 0.001 (0.585)	Loss 1.8661 (1.8366)	Prec@1 55.469 (51.954)	Prec@5 82.812 (81.490)
Epoch: [71][8670/14090]	Time 0.752 (1.324)	Data 0.001 (0.584)	Loss 1.8929 (1.8366)	Prec@1 53.125 (51.951)	Prec@5 77.344 (81.489)
Epoch: [71][8680/14090]	Time 0.730 (1.324)	Data 0.001 (0.583)	Loss 1.8053 (1.8366)	Prec@1 52.344 (51.950)	Prec@5 81.250 (81.489)
Epoch: [71][8690/14090]	Time 0.748 (1.323)	Data 0.001 (0.583)	Loss 2.0495 (1.8365)	Prec@1 43.750 (51.951)	Prec@5 79.688 (81.491)
Epoch: [71][8700/14090]	Time 0.747 (1.322)	Data 0.001 (0.582)	Loss 1.8682 (1.8366)	Prec@1 50.000 (51.948)	Prec@5 82.031 (81.491)
Epoch: [71][8710/14090]	Time 0.749 (1.322)	Data 0.001 (0.581)	Loss 1.8623 (1.8366)	Prec@1 51.562 (51.949)	Prec@5 87.500 (81.491)
Epoch: [71][8720/14090]	Time 0.776 (1.321)	Data 0.001 (0.581)	Loss 2.0787 (1.8366)	Prec@1 48.438 (51.949)	Prec@5 76.562 (81.490)
Epoch: [71][8730/14090]	Time 0.835 (1.320)	Data 0.001 (0.580)	Loss 2.1307 (1.8367)	Prec@1 46.875 (51.949)	Prec@5 76.562 (81.490)
Epoch: [71][8740/14090]	Time 0.735 (1.320)	Data 0.001 (0.579)	Loss 1.6736 (1.8367)	Prec@1 57.812 (51.949)	Prec@5 84.375 (81.491)
Epoch: [71][8750/14090]	Time 0.743 (1.319)	Data 0.001 (0.579)	Loss 1.6279 (1.8367)	Prec@1 48.438 (51.949)	Prec@5 86.719 (81.491)
Epoch: [71][8760/14090]	Time 0.757 (1.319)	Data 0.001 (0.578)	Loss 1.5674 (1.8366)	Prec@1 56.250 (51.949)	Prec@5 84.375 (81.492)
Epoch: [71][8770/14090]	Time 0.764 (1.318)	Data 0.001 (0.577)	Loss 1.7975 (1.8366)	Prec@1 48.438 (51.951)	Prec@5 82.812 (81.491)
Epoch: [71][8780/14090]	Time 0.731 (1.317)	Data 0.001 (0.577)	Loss 1.7696 (1.8366)	Prec@1 54.688 (51.951)	Prec@5 84.375 (81.491)
Epoch: [71][8790/14090]	Time 0.772 (1.317)	Data 0.001 (0.576)	Loss 1.7916 (1.8367)	Prec@1 55.469 (51.949)	Prec@5 80.469 (81.488)
Epoch: [71][8800/14090]	Time 0.914 (1.316)	Data 0.001 (0.575)	Loss 1.8686 (1.8367)	Prec@1 53.125 (51.948)	Prec@5 82.031 (81.489)
Epoch: [71][8810/14090]	Time 0.729 (1.315)	Data 0.001 (0.575)	Loss 1.8423 (1.8366)	Prec@1 52.344 (51.948)	Prec@5 82.812 (81.489)
Epoch: [71][8820/14090]	Time 0.730 (1.315)	Data 0.001 (0.574)	Loss 1.5708 (1.8365)	Prec@1 57.031 (51.952)	Prec@5 85.938 (81.492)
Epoch: [71][8830/14090]	Time 0.752 (1.314)	Data 0.001 (0.574)	Loss 2.0098 (1.8365)	Prec@1 45.312 (51.951)	Prec@5 76.562 (81.491)
Epoch: [71][8840/14090]	Time 0.760 (1.314)	Data 0.001 (0.573)	Loss 2.1264 (1.8365)	Prec@1 50.781 (51.951)	Prec@5 77.344 (81.492)
Epoch: [71][8850/14090]	Time 0.730 (1.313)	Data 0.001 (0.572)	Loss 2.1011 (1.8366)	Prec@1 44.531 (51.951)	Prec@5 75.781 (81.490)
Epoch: [71][8860/14090]	Time 0.747 (1.312)	Data 0.001 (0.572)	Loss 1.8596 (1.8367)	Prec@1 57.812 (51.950)	Prec@5 78.906 (81.489)
Epoch: [71][8870/14090]	Time 0.871 (1.312)	Data 0.001 (0.571)	Loss 1.5649 (1.8367)	Prec@1 61.719 (51.950)	Prec@5 83.594 (81.490)
Epoch: [71][8880/14090]	Time 0.743 (1.311)	Data 0.001 (0.570)	Loss 2.0895 (1.8367)	Prec@1 46.094 (51.947)	Prec@5 81.250 (81.488)
Epoch: [71][8890/14090]	Time 0.780 (1.310)	Data 0.001 (0.570)	Loss 1.8673 (1.8367)	Prec@1 52.344 (51.949)	Prec@5 82.812 (81.487)
Epoch: [71][8900/14090]	Time 0.777 (1.310)	Data 0.001 (0.569)	Loss 1.8529 (1.8368)	Prec@1 47.656 (51.945)	Prec@5 78.125 (81.486)
Epoch: [71][8910/14090]	Time 0.750 (1.309)	Data 0.001 (0.568)	Loss 1.7949 (1.8369)	Prec@1 50.781 (51.943)	Prec@5 82.031 (81.485)
Epoch: [71][8920/14090]	Time 0.736 (1.309)	Data 0.001 (0.568)	Loss 1.7841 (1.8369)	Prec@1 57.031 (51.944)	Prec@5 80.469 (81.483)
Epoch: [71][8930/14090]	Time 0.734 (1.308)	Data 0.001 (0.567)	Loss 1.9221 (1.8369)	Prec@1 49.219 (51.945)	Prec@5 78.125 (81.484)
Epoch: [71][8940/14090]	Time 0.893 (1.307)	Data 0.001 (0.566)	Loss 1.8405 (1.8369)	Prec@1 53.906 (51.944)	Prec@5 81.250 (81.484)
Epoch: [71][8950/14090]	Time 0.743 (1.307)	Data 0.001 (0.566)	Loss 1.9488 (1.8369)	Prec@1 50.781 (51.945)	Prec@5 78.125 (81.484)
Epoch: [71][8960/14090]	Time 0.785 (1.306)	Data 0.001 (0.565)	Loss 1.9211 (1.8369)	Prec@1 53.906 (51.946)	Prec@5 78.906 (81.483)
Epoch: [71][8970/14090]	Time 0.760 (1.306)	Data 0.001 (0.565)	Loss 1.6694 (1.8370)	Prec@1 52.344 (51.944)	Prec@5 85.938 (81.483)
Epoch: [71][8980/14090]	Time 0.794 (1.305)	Data 0.001 (0.564)	Loss 1.8686 (1.8370)	Prec@1 50.781 (51.942)	Prec@5 82.031 (81.483)
Epoch: [71][8990/14090]	Time 0.757 (1.304)	Data 0.001 (0.563)	Loss 2.0391 (1.8371)	Prec@1 48.438 (51.939)	Prec@5 73.438 (81.483)
Epoch: [71][9000/14090]	Time 0.748 (1.304)	Data 0.001 (0.563)	Loss 2.1107 (1.8371)	Prec@1 50.000 (51.939)	Prec@5 71.875 (81.483)
Epoch: [71][9010/14090]	Time 0.835 (1.303)	Data 0.001 (0.562)	Loss 1.6840 (1.8371)	Prec@1 58.594 (51.939)	Prec@5 85.938 (81.482)
Epoch: [71][9020/14090]	Time 0.747 (1.303)	Data 0.001 (0.561)	Loss 1.7972 (1.8370)	Prec@1 55.469 (51.941)	Prec@5 82.812 (81.484)
Epoch: [71][9030/14090]	Time 0.743 (1.302)	Data 0.001 (0.561)	Loss 1.8542 (1.8371)	Prec@1 49.219 (51.940)	Prec@5 82.812 (81.481)
Epoch: [71][9040/14090]	Time 0.749 (1.301)	Data 0.001 (0.560)	Loss 1.7270 (1.8370)	Prec@1 60.938 (51.942)	Prec@5 82.812 (81.484)
Epoch: [71][9050/14090]	Time 0.748 (1.301)	Data 0.001 (0.560)	Loss 1.7786 (1.8371)	Prec@1 49.219 (51.941)	Prec@5 82.812 (81.482)
Epoch: [71][9060/14090]	Time 0.758 (1.300)	Data 0.001 (0.559)	Loss 1.8257 (1.8370)	Prec@1 52.344 (51.941)	Prec@5 80.469 (81.483)
Epoch: [71][9070/14090]	Time 0.754 (1.300)	Data 0.001 (0.558)	Loss 1.8176 (1.8371)	Prec@1 46.875 (51.937)	Prec@5 83.594 (81.481)
Epoch: [71][9080/14090]	Time 0.852 (1.299)	Data 0.001 (0.558)	Loss 1.8430 (1.8371)	Prec@1 52.344 (51.938)	Prec@5 81.250 (81.480)
Epoch: [71][9090/14090]	Time 0.758 (1.298)	Data 0.001 (0.557)	Loss 1.9296 (1.8372)	Prec@1 48.438 (51.936)	Prec@5 79.688 (81.479)
Epoch: [71][9100/14090]	Time 0.730 (1.298)	Data 0.001 (0.557)	Loss 1.8028 (1.8372)	Prec@1 47.656 (51.936)	Prec@5 82.031 (81.478)
Epoch: [71][9110/14090]	Time 0.743 (1.297)	Data 0.001 (0.556)	Loss 1.9415 (1.8371)	Prec@1 50.000 (51.936)	Prec@5 81.250 (81.480)
Epoch: [71][9120/14090]	Time 0.731 (1.297)	Data 0.001 (0.555)	Loss 1.5626 (1.8370)	Prec@1 57.031 (51.938)	Prec@5 84.375 (81.481)
Epoch: [71][9130/14090]	Time 0.762 (1.296)	Data 0.001 (0.555)	Loss 1.8697 (1.8370)	Prec@1 49.219 (51.937)	Prec@5 82.812 (81.480)
Epoch: [71][9140/14090]	Time 0.779 (1.296)	Data 0.001 (0.554)	Loss 2.1135 (1.8370)	Prec@1 47.656 (51.939)	Prec@5 82.031 (81.481)
Epoch: [71][9150/14090]	Time 0.854 (1.295)	Data 0.001 (0.553)	Loss 1.7204 (1.8370)	Prec@1 53.906 (51.939)	Prec@5 85.938 (81.481)
Epoch: [71][9160/14090]	Time 0.749 (1.294)	Data 0.001 (0.553)	Loss 1.5704 (1.8370)	Prec@1 54.688 (51.938)	Prec@5 85.938 (81.482)
Epoch: [71][9170/14090]	Time 0.758 (1.294)	Data 0.001 (0.552)	Loss 2.0397 (1.8370)	Prec@1 42.969 (51.936)	Prec@5 78.125 (81.483)
Epoch: [71][9180/14090]	Time 0.734 (1.293)	Data 0.001 (0.552)	Loss 1.9721 (1.8370)	Prec@1 50.000 (51.935)	Prec@5 80.469 (81.482)
Epoch: [71][9190/14090]	Time 0.737 (1.293)	Data 0.001 (0.551)	Loss 1.5224 (1.8370)	Prec@1 57.031 (51.937)	Prec@5 86.719 (81.483)
Epoch: [71][9200/14090]	Time 0.755 (1.292)	Data 0.001 (0.550)	Loss 1.7746 (1.8370)	Prec@1 49.219 (51.934)	Prec@5 83.594 (81.484)
Epoch: [71][9210/14090]	Time 0.748 (1.291)	Data 0.001 (0.550)	Loss 1.8057 (1.8370)	Prec@1 51.562 (51.937)	Prec@5 82.812 (81.484)
Epoch: [71][9220/14090]	Time 0.891 (1.291)	Data 0.001 (0.549)	Loss 1.7516 (1.8369)	Prec@1 52.344 (51.937)	Prec@5 81.250 (81.486)
Epoch: [71][9230/14090]	Time 0.754 (1.290)	Data 0.001 (0.549)	Loss 1.8025 (1.8369)	Prec@1 56.250 (51.939)	Prec@5 78.906 (81.486)
Epoch: [71][9240/14090]	Time 0.749 (1.290)	Data 0.001 (0.548)	Loss 1.4396 (1.8368)	Prec@1 60.938 (51.940)	Prec@5 87.500 (81.487)
Epoch: [71][9250/14090]	Time 0.737 (1.289)	Data 0.001 (0.548)	Loss 1.6769 (1.8368)	Prec@1 57.031 (51.940)	Prec@5 80.469 (81.487)
Epoch: [71][9260/14090]	Time 0.726 (1.289)	Data 0.001 (0.547)	Loss 1.9212 (1.8368)	Prec@1 52.344 (51.941)	Prec@5 78.125 (81.486)
Epoch: [71][9270/14090]	Time 0.762 (1.288)	Data 0.001 (0.546)	Loss 2.0070 (1.8369)	Prec@1 45.312 (51.939)	Prec@5 82.031 (81.485)
Epoch: [71][9280/14090]	Time 0.796 (1.288)	Data 0.001 (0.546)	Loss 1.6839 (1.8369)	Prec@1 59.375 (51.939)	Prec@5 84.375 (81.483)
Epoch: [71][9290/14090]	Time 0.885 (1.287)	Data 0.001 (0.545)	Loss 1.7774 (1.8369)	Prec@1 54.688 (51.940)	Prec@5 82.812 (81.483)
Epoch: [71][9300/14090]	Time 0.734 (1.286)	Data 0.001 (0.545)	Loss 1.7145 (1.8370)	Prec@1 53.906 (51.939)	Prec@5 86.719 (81.481)
Epoch: [71][9310/14090]	Time 0.757 (1.286)	Data 0.001 (0.544)	Loss 1.8563 (1.8369)	Prec@1 51.562 (51.940)	Prec@5 85.938 (81.483)
Epoch: [71][9320/14090]	Time 0.724 (1.285)	Data 0.001 (0.543)	Loss 1.8988 (1.8369)	Prec@1 49.219 (51.942)	Prec@5 82.812 (81.485)
Epoch: [71][9330/14090]	Time 0.731 (1.285)	Data 0.001 (0.543)	Loss 2.0085 (1.8368)	Prec@1 49.219 (51.942)	Prec@5 76.562 (81.485)
Epoch: [71][9340/14090]	Time 0.730 (1.284)	Data 0.001 (0.542)	Loss 2.0118 (1.8368)	Prec@1 45.312 (51.943)	Prec@5 82.031 (81.487)
Epoch: [71][9350/14090]	Time 0.741 (1.284)	Data 0.001 (0.542)	Loss 1.7744 (1.8368)	Prec@1 53.906 (51.940)	Prec@5 85.938 (81.488)
Epoch: [71][9360/14090]	Time 0.845 (1.283)	Data 0.001 (0.541)	Loss 1.8132 (1.8369)	Prec@1 55.469 (51.939)	Prec@5 79.688 (81.487)
Epoch: [71][9370/14090]	Time 0.737 (1.283)	Data 0.001 (0.541)	Loss 1.7023 (1.8369)	Prec@1 57.812 (51.939)	Prec@5 82.812 (81.488)
Epoch: [71][9380/14090]	Time 0.739 (1.282)	Data 0.001 (0.540)	Loss 2.2022 (1.8369)	Prec@1 47.656 (51.939)	Prec@5 75.000 (81.486)
Epoch: [71][9390/14090]	Time 0.730 (1.281)	Data 0.001 (0.539)	Loss 2.0509 (1.8369)	Prec@1 50.000 (51.938)	Prec@5 74.219 (81.486)
Epoch: [71][9400/14090]	Time 0.781 (1.281)	Data 0.001 (0.539)	Loss 1.9047 (1.8370)	Prec@1 50.000 (51.938)	Prec@5 80.469 (81.487)
Epoch: [71][9410/14090]	Time 0.755 (1.280)	Data 0.001 (0.538)	Loss 1.7881 (1.8369)	Prec@1 61.719 (51.940)	Prec@5 79.688 (81.487)
Epoch: [71][9420/14090]	Time 0.741 (1.280)	Data 0.001 (0.538)	Loss 2.1314 (1.8369)	Prec@1 50.000 (51.941)	Prec@5 73.438 (81.487)
Epoch: [71][9430/14090]	Time 0.843 (1.279)	Data 0.001 (0.537)	Loss 1.8368 (1.8369)	Prec@1 54.688 (51.941)	Prec@5 80.469 (81.487)
Epoch: [71][9440/14090]	Time 0.734 (1.279)	Data 0.001 (0.537)	Loss 1.8356 (1.8368)	Prec@1 53.125 (51.942)	Prec@5 80.469 (81.490)
Epoch: [71][9450/14090]	Time 0.739 (1.278)	Data 0.001 (0.536)	Loss 1.9069 (1.8369)	Prec@1 54.688 (51.943)	Prec@5 77.344 (81.488)
Epoch: [71][9460/14090]	Time 0.776 (1.278)	Data 0.001 (0.535)	Loss 1.9820 (1.8369)	Prec@1 50.000 (51.943)	Prec@5 78.125 (81.487)
Epoch: [71][9470/14090]	Time 0.772 (1.277)	Data 0.001 (0.535)	Loss 1.8251 (1.8369)	Prec@1 57.031 (51.942)	Prec@5 82.031 (81.487)
Epoch: [71][9480/14090]	Time 0.744 (1.277)	Data 0.001 (0.534)	Loss 1.8042 (1.8370)	Prec@1 56.250 (51.941)	Prec@5 83.594 (81.487)
Epoch: [71][9490/14090]	Time 0.750 (1.276)	Data 0.001 (0.534)	Loss 1.9149 (1.8369)	Prec@1 57.031 (51.942)	Prec@5 78.125 (81.487)
Epoch: [71][9500/14090]	Time 0.838 (1.275)	Data 0.001 (0.533)	Loss 1.6939 (1.8370)	Prec@1 56.250 (51.941)	Prec@5 82.031 (81.486)
Epoch: [71][9510/14090]	Time 0.721 (1.275)	Data 0.001 (0.533)	Loss 1.8738 (1.8370)	Prec@1 54.688 (51.941)	Prec@5 80.469 (81.485)
Epoch: [71][9520/14090]	Time 0.749 (1.274)	Data 0.001 (0.532)	Loss 1.8485 (1.8370)	Prec@1 52.344 (51.941)	Prec@5 83.594 (81.485)
Epoch: [71][9530/14090]	Time 0.770 (1.274)	Data 0.001 (0.531)	Loss 1.8380 (1.8370)	Prec@1 49.219 (51.940)	Prec@5 82.031 (81.485)
Epoch: [71][9540/14090]	Time 0.761 (1.273)	Data 0.001 (0.531)	Loss 1.8454 (1.8370)	Prec@1 46.094 (51.941)	Prec@5 82.812 (81.485)
Epoch: [71][9550/14090]	Time 0.754 (1.273)	Data 0.001 (0.530)	Loss 1.5589 (1.8370)	Prec@1 53.125 (51.941)	Prec@5 87.500 (81.485)
Epoch: [71][9560/14090]	Time 0.783 (1.272)	Data 0.001 (0.530)	Loss 1.8715 (1.8370)	Prec@1 50.000 (51.937)	Prec@5 78.906 (81.485)
Epoch: [71][9570/14090]	Time 0.863 (1.272)	Data 0.001 (0.529)	Loss 2.0664 (1.8371)	Prec@1 53.125 (51.938)	Prec@5 78.125 (81.485)
Epoch: [71][9580/14090]	Time 0.766 (1.271)	Data 0.001 (0.529)	Loss 1.6223 (1.8371)	Prec@1 58.594 (51.939)	Prec@5 89.062 (81.485)
Epoch: [71][9590/14090]	Time 0.732 (1.271)	Data 0.001 (0.528)	Loss 1.7495 (1.8370)	Prec@1 55.469 (51.941)	Prec@5 79.688 (81.485)
Epoch: [71][9600/14090]	Time 0.760 (1.270)	Data 0.001 (0.528)	Loss 1.6099 (1.8370)	Prec@1 60.156 (51.942)	Prec@5 85.156 (81.486)
Epoch: [71][9610/14090]	Time 0.739 (1.270)	Data 0.001 (0.527)	Loss 2.0551 (1.8370)	Prec@1 46.875 (51.941)	Prec@5 76.562 (81.484)
Epoch: [71][9620/14090]	Time 0.739 (1.269)	Data 0.001 (0.526)	Loss 1.8566 (1.8370)	Prec@1 53.125 (51.942)	Prec@5 78.906 (81.484)
Epoch: [71][9630/14090]	Time 0.726 (1.269)	Data 0.001 (0.526)	Loss 1.9817 (1.8370)	Prec@1 51.562 (51.942)	Prec@5 80.469 (81.483)
Epoch: [71][9640/14090]	Time 0.873 (1.268)	Data 0.001 (0.525)	Loss 1.7201 (1.8370)	Prec@1 51.562 (51.942)	Prec@5 85.938 (81.483)
Epoch: [71][9650/14090]	Time 0.740 (1.267)	Data 0.001 (0.525)	Loss 1.6822 (1.8370)	Prec@1 54.688 (51.941)	Prec@5 87.500 (81.484)
Epoch: [71][9660/14090]	Time 0.743 (1.267)	Data 0.001 (0.524)	Loss 1.8780 (1.8370)	Prec@1 48.438 (51.941)	Prec@5 78.125 (81.483)
Epoch: [71][9670/14090]	Time 0.754 (1.266)	Data 0.001 (0.524)	Loss 2.0998 (1.8371)	Prec@1 45.312 (51.941)	Prec@5 74.219 (81.482)
Epoch: [71][9680/14090]	Time 0.765 (1.266)	Data 0.001 (0.523)	Loss 1.8732 (1.8371)	Prec@1 53.125 (51.939)	Prec@5 81.250 (81.480)
Epoch: [71][9690/14090]	Time 0.739 (1.265)	Data 0.001 (0.523)	Loss 1.8266 (1.8371)	Prec@1 53.906 (51.940)	Prec@5 80.469 (81.481)
Epoch: [71][9700/14090]	Time 0.742 (1.265)	Data 0.001 (0.522)	Loss 1.8659 (1.8372)	Prec@1 50.000 (51.940)	Prec@5 78.125 (81.481)
Epoch: [71][9710/14090]	Time 0.884 (1.264)	Data 0.001 (0.522)	Loss 1.9886 (1.8372)	Prec@1 49.219 (51.938)	Prec@5 81.250 (81.482)
Epoch: [71][9720/14090]	Time 0.736 (1.264)	Data 0.001 (0.521)	Loss 1.8669 (1.8371)	Prec@1 48.438 (51.941)	Prec@5 84.375 (81.483)
Epoch: [71][9730/14090]	Time 0.731 (1.263)	Data 0.001 (0.521)	Loss 1.8000 (1.8371)	Prec@1 52.344 (51.937)	Prec@5 84.375 (81.484)
Epoch: [71][9740/14090]	Time 0.727 (1.263)	Data 0.001 (0.520)	Loss 1.9815 (1.8371)	Prec@1 48.438 (51.938)	Prec@5 83.594 (81.484)
Epoch: [71][9750/14090]	Time 0.733 (1.262)	Data 0.001 (0.519)	Loss 1.8801 (1.8371)	Prec@1 50.000 (51.939)	Prec@5 85.156 (81.484)
Epoch: [71][9760/14090]	Time 0.759 (1.262)	Data 0.001 (0.519)	Loss 1.4810 (1.8371)	Prec@1 64.844 (51.942)	Prec@5 82.812 (81.486)
Epoch: [71][9770/14090]	Time 0.736 (1.261)	Data 0.001 (0.518)	Loss 1.6715 (1.8371)	Prec@1 54.688 (51.942)	Prec@5 85.938 (81.486)
Epoch: [71][9780/14090]	Time 0.862 (1.261)	Data 0.001 (0.518)	Loss 2.1261 (1.8371)	Prec@1 48.438 (51.942)	Prec@5 74.219 (81.487)
Epoch: [71][9790/14090]	Time 0.748 (1.260)	Data 0.001 (0.517)	Loss 1.7890 (1.8371)	Prec@1 46.875 (51.941)	Prec@5 83.594 (81.487)
Epoch: [71][9800/14090]	Time 0.749 (1.260)	Data 0.001 (0.517)	Loss 1.8701 (1.8370)	Prec@1 53.906 (51.944)	Prec@5 81.250 (81.488)
Epoch: [71][9810/14090]	Time 0.729 (1.259)	Data 0.001 (0.516)	Loss 2.1194 (1.8371)	Prec@1 44.531 (51.942)	Prec@5 75.781 (81.486)
Epoch: [71][9820/14090]	Time 0.738 (1.259)	Data 0.001 (0.516)	Loss 2.1066 (1.8371)	Prec@1 48.438 (51.944)	Prec@5 79.688 (81.485)
Epoch: [71][9830/14090]	Time 0.758 (1.258)	Data 0.001 (0.515)	Loss 1.7165 (1.8371)	Prec@1 59.375 (51.946)	Prec@5 86.719 (81.487)
Epoch: [71][9840/14090]	Time 0.734 (1.258)	Data 0.001 (0.515)	Loss 2.1980 (1.8370)	Prec@1 40.625 (51.948)	Prec@5 75.781 (81.488)
Epoch: [71][9850/14090]	Time 0.850 (1.257)	Data 0.001 (0.514)	Loss 1.9321 (1.8371)	Prec@1 50.000 (51.947)	Prec@5 81.250 (81.488)
Epoch: [71][9860/14090]	Time 0.731 (1.257)	Data 0.001 (0.514)	Loss 1.7337 (1.8371)	Prec@1 52.344 (51.946)	Prec@5 80.469 (81.488)
Epoch: [71][9870/14090]	Time 0.728 (1.256)	Data 0.001 (0.513)	Loss 1.8282 (1.8370)	Prec@1 58.594 (51.948)	Prec@5 82.031 (81.490)
Epoch: [71][9880/14090]	Time 0.771 (1.256)	Data 0.001 (0.513)	Loss 1.9507 (1.8371)	Prec@1 46.875 (51.946)	Prec@5 78.906 (81.488)
Epoch: [71][9890/14090]	Time 0.792 (1.255)	Data 0.001 (0.512)	Loss 1.7112 (1.8370)	Prec@1 54.688 (51.949)	Prec@5 85.938 (81.490)
Epoch: [71][9900/14090]	Time 0.743 (1.255)	Data 0.001 (0.512)	Loss 1.6893 (1.8370)	Prec@1 57.031 (51.948)	Prec@5 82.031 (81.490)
Epoch: [71][9910/14090]	Time 0.754 (1.254)	Data 0.001 (0.511)	Loss 1.6627 (1.8369)	Prec@1 56.250 (51.948)	Prec@5 82.031 (81.491)
Epoch: [71][9920/14090]	Time 0.887 (1.254)	Data 0.001 (0.511)	Loss 1.6710 (1.8370)	Prec@1 53.906 (51.946)	Prec@5 81.250 (81.491)
Epoch: [71][9930/14090]	Time 0.753 (1.253)	Data 0.001 (0.510)	Loss 1.9001 (1.8369)	Prec@1 52.344 (51.947)	Prec@5 80.469 (81.492)
Epoch: [71][9940/14090]	Time 0.721 (1.253)	Data 0.001 (0.510)	Loss 1.6502 (1.8369)	Prec@1 57.031 (51.947)	Prec@5 83.594 (81.494)
Epoch: [71][9950/14090]	Time 0.742 (1.252)	Data 0.001 (0.509)	Loss 1.8039 (1.8369)	Prec@1 51.562 (51.947)	Prec@5 77.344 (81.493)
Epoch: [71][9960/14090]	Time 0.732 (1.252)	Data 0.001 (0.509)	Loss 1.9460 (1.8370)	Prec@1 42.969 (51.946)	Prec@5 79.688 (81.492)
Epoch: [71][9970/14090]	Time 0.759 (1.251)	Data 0.001 (0.508)	Loss 1.7359 (1.8369)	Prec@1 52.344 (51.946)	Prec@5 88.281 (81.494)
Epoch: [71][9980/14090]	Time 0.764 (1.251)	Data 0.001 (0.508)	Loss 1.8161 (1.8370)	Prec@1 46.875 (51.945)	Prec@5 80.469 (81.493)
Epoch: [71][9990/14090]	Time 0.864 (1.250)	Data 0.001 (0.507)	Loss 1.8579 (1.8370)	Prec@1 52.344 (51.946)	Prec@5 79.688 (81.490)
Epoch: [71][10000/14090]	Time 0.746 (1.250)	Data 0.001 (0.507)	Loss 1.7124 (1.8370)	Prec@1 53.125 (51.948)	Prec@5 81.250 (81.490)
Epoch: [71][10010/14090]	Time 0.766 (1.249)	Data 0.001 (0.506)	Loss 1.7573 (1.8370)	Prec@1 57.812 (51.949)	Prec@5 79.688 (81.489)
Epoch: [71][10020/14090]	Time 0.733 (1.249)	Data 0.001 (0.506)	Loss 1.7351 (1.8370)	Prec@1 52.344 (51.951)	Prec@5 85.156 (81.490)
Epoch: [71][10030/14090]	Time 0.759 (1.248)	Data 0.001 (0.505)	Loss 2.1200 (1.8370)	Prec@1 45.312 (51.949)	Prec@5 79.688 (81.489)
Epoch: [71][10040/14090]	Time 0.734 (1.248)	Data 0.001 (0.505)	Loss 2.2709 (1.8371)	Prec@1 44.531 (51.947)	Prec@5 74.219 (81.490)
Epoch: [71][10050/14090]	Time 0.777 (1.248)	Data 0.001 (0.504)	Loss 1.9893 (1.8372)	Prec@1 41.406 (51.944)	Prec@5 83.594 (81.488)
Epoch: [71][10060/14090]	Time 0.865 (1.247)	Data 0.001 (0.504)	Loss 1.7450 (1.8373)	Prec@1 50.000 (51.942)	Prec@5 86.719 (81.488)
Epoch: [71][10070/14090]	Time 2.398 (1.247)	Data 1.687 (0.503)	Loss 1.6040 (1.8372)	Prec@1 59.375 (51.944)	Prec@5 85.156 (81.488)
Epoch: [71][10080/14090]	Time 0.742 (1.246)	Data 0.001 (0.503)	Loss 1.7333 (1.8372)	Prec@1 50.781 (51.944)	Prec@5 84.375 (81.488)
Epoch: [71][10090/14090]	Time 0.774 (1.246)	Data 0.001 (0.502)	Loss 2.0115 (1.8372)	Prec@1 51.562 (51.945)	Prec@5 82.812 (81.489)
Epoch: [71][10100/14090]	Time 0.776 (1.245)	Data 0.001 (0.502)	Loss 1.9146 (1.8373)	Prec@1 49.219 (51.943)	Prec@5 79.688 (81.487)
Epoch: [71][10110/14090]	Time 0.747 (1.245)	Data 0.001 (0.501)	Loss 1.7846 (1.8373)	Prec@1 57.031 (51.942)	Prec@5 82.031 (81.485)
Epoch: [71][10120/14090]	Time 0.731 (1.244)	Data 0.001 (0.501)	Loss 2.0472 (1.8374)	Prec@1 49.219 (51.940)	Prec@5 71.875 (81.484)
Epoch: [71][10130/14090]	Time 0.879 (1.244)	Data 0.001 (0.500)	Loss 1.8200 (1.8373)	Prec@1 47.656 (51.941)	Prec@5 86.719 (81.485)
Epoch: [71][10140/14090]	Time 0.730 (1.244)	Data 0.001 (0.500)	Loss 1.7805 (1.8373)	Prec@1 55.469 (51.941)	Prec@5 79.688 (81.485)
Epoch: [71][10150/14090]	Time 0.742 (1.243)	Data 0.001 (0.499)	Loss 1.8725 (1.8373)	Prec@1 44.531 (51.942)	Prec@5 82.812 (81.486)
Epoch: [71][10160/14090]	Time 0.774 (1.243)	Data 0.001 (0.499)	Loss 1.9446 (1.8373)	Prec@1 48.438 (51.940)	Prec@5 78.125 (81.485)
Epoch: [71][10170/14090]	Time 0.723 (1.242)	Data 0.001 (0.499)	Loss 1.7561 (1.8374)	Prec@1 50.781 (51.937)	Prec@5 82.812 (81.483)
Epoch: [71][10180/14090]	Time 0.766 (1.242)	Data 0.001 (0.498)	Loss 1.7000 (1.8374)	Prec@1 57.812 (51.939)	Prec@5 78.906 (81.484)
Epoch: [71][10190/14090]	Time 0.723 (1.241)	Data 0.001 (0.498)	Loss 2.0305 (1.8374)	Prec@1 47.656 (51.940)	Prec@5 78.906 (81.484)
Epoch: [71][10200/14090]	Time 0.830 (1.241)	Data 0.001 (0.497)	Loss 1.6819 (1.8374)	Prec@1 57.031 (51.942)	Prec@5 79.688 (81.483)
Epoch: [71][10210/14090]	Time 0.729 (1.240)	Data 0.001 (0.497)	Loss 1.8924 (1.8374)	Prec@1 48.438 (51.942)	Prec@5 85.156 (81.482)
Epoch: [71][10220/14090]	Time 0.730 (1.240)	Data 0.001 (0.496)	Loss 1.7857 (1.8375)	Prec@1 50.781 (51.941)	Prec@5 82.812 (81.481)
Epoch: [71][10230/14090]	Time 0.763 (1.239)	Data 0.001 (0.496)	Loss 1.6681 (1.8373)	Prec@1 55.469 (51.944)	Prec@5 81.250 (81.482)
Epoch: [71][10240/14090]	Time 1.374 (1.239)	Data 0.637 (0.495)	Loss 1.9899 (1.8373)	Prec@1 49.219 (51.946)	Prec@5 80.469 (81.484)
Epoch: [71][10250/14090]	Time 0.770 (1.239)	Data 0.001 (0.495)	Loss 1.8029 (1.8373)	Prec@1 49.219 (51.944)	Prec@5 79.688 (81.483)
Epoch: [71][10260/14090]	Time 0.737 (1.238)	Data 0.001 (0.495)	Loss 1.7223 (1.8373)	Prec@1 59.375 (51.944)	Prec@5 83.594 (81.485)
Epoch: [71][10270/14090]	Time 0.907 (1.238)	Data 0.001 (0.494)	Loss 1.6168 (1.8373)	Prec@1 60.156 (51.943)	Prec@5 87.500 (81.485)
Epoch: [71][10280/14090]	Time 0.734 (1.237)	Data 0.001 (0.494)	Loss 1.9841 (1.8373)	Prec@1 49.219 (51.942)	Prec@5 75.000 (81.485)
Epoch: [71][10290/14090]	Time 0.731 (1.237)	Data 0.001 (0.493)	Loss 1.7578 (1.8373)	Prec@1 53.906 (51.939)	Prec@5 79.688 (81.484)
Epoch: [71][10300/14090]	Time 0.741 (1.237)	Data 0.001 (0.493)	Loss 1.7345 (1.8373)	Prec@1 52.344 (51.939)	Prec@5 84.375 (81.483)
Epoch: [71][10310/14090]	Time 0.757 (1.236)	Data 0.001 (0.492)	Loss 1.7722 (1.8373)	Prec@1 53.906 (51.941)	Prec@5 79.688 (81.485)
Epoch: [71][10320/14090]	Time 0.736 (1.236)	Data 0.001 (0.492)	Loss 1.7114 (1.8373)	Prec@1 58.594 (51.941)	Prec@5 81.250 (81.485)
Epoch: [71][10330/14090]	Time 0.745 (1.235)	Data 0.001 (0.491)	Loss 1.8552 (1.8373)	Prec@1 50.000 (51.941)	Prec@5 82.031 (81.484)
Epoch: [71][10340/14090]	Time 0.869 (1.235)	Data 0.001 (0.491)	Loss 1.9795 (1.8373)	Prec@1 46.875 (51.941)	Prec@5 82.031 (81.483)
Epoch: [71][10350/14090]	Time 0.753 (1.235)	Data 0.001 (0.491)	Loss 1.7411 (1.8373)	Prec@1 55.469 (51.942)	Prec@5 83.594 (81.483)
Epoch: [71][10360/14090]	Time 0.754 (1.234)	Data 0.001 (0.490)	Loss 1.9164 (1.8373)	Prec@1 50.000 (51.942)	Prec@5 81.250 (81.482)
Epoch: [71][10370/14090]	Time 0.752 (1.234)	Data 0.001 (0.490)	Loss 1.6370 (1.8374)	Prec@1 51.562 (51.939)	Prec@5 84.375 (81.482)
Epoch: [71][10380/14090]	Time 0.762 (1.233)	Data 0.001 (0.489)	Loss 1.6585 (1.8373)	Prec@1 56.250 (51.940)	Prec@5 82.812 (81.483)
Epoch: [71][10390/14090]	Time 0.747 (1.233)	Data 0.001 (0.489)	Loss 1.7612 (1.8374)	Prec@1 57.031 (51.938)	Prec@5 84.375 (81.484)
Epoch: [71][10400/14090]	Time 0.746 (1.233)	Data 0.001 (0.489)	Loss 1.9285 (1.8374)	Prec@1 50.000 (51.938)	Prec@5 72.656 (81.483)
Epoch: [71][10410/14090]	Time 0.871 (1.232)	Data 0.001 (0.488)	Loss 1.8171 (1.8374)	Prec@1 47.656 (51.938)	Prec@5 80.469 (81.483)
Epoch: [71][10420/14090]	Time 0.727 (1.232)	Data 0.001 (0.488)	Loss 1.9271 (1.8374)	Prec@1 48.438 (51.936)	Prec@5 84.375 (81.482)
Epoch: [71][10430/14090]	Time 0.752 (1.231)	Data 0.001 (0.487)	Loss 1.7211 (1.8374)	Prec@1 61.719 (51.939)	Prec@5 82.031 (81.483)
Epoch: [71][10440/14090]	Time 0.757 (1.231)	Data 0.001 (0.487)	Loss 2.0086 (1.8374)	Prec@1 47.656 (51.939)	Prec@5 76.562 (81.483)
Epoch: [71][10450/14090]	Time 0.733 (1.231)	Data 0.001 (0.487)	Loss 1.8350 (1.8374)	Prec@1 57.812 (51.941)	Prec@5 83.594 (81.483)
Epoch: [71][10460/14090]	Time 0.738 (1.230)	Data 0.001 (0.486)	Loss 1.9173 (1.8373)	Prec@1 50.781 (51.943)	Prec@5 79.688 (81.485)
Epoch: [71][10470/14090]	Time 0.742 (1.230)	Data 0.001 (0.486)	Loss 1.7915 (1.8373)	Prec@1 53.906 (51.943)	Prec@5 85.156 (81.485)
Epoch: [71][10480/14090]	Time 0.877 (1.229)	Data 0.001 (0.485)	Loss 1.8803 (1.8374)	Prec@1 46.094 (51.940)	Prec@5 80.469 (81.484)
Epoch: [71][10490/14090]	Time 0.734 (1.229)	Data 0.001 (0.485)	Loss 1.6430 (1.8374)	Prec@1 57.031 (51.939)	Prec@5 85.156 (81.483)
Epoch: [71][10500/14090]	Time 0.737 (1.229)	Data 0.001 (0.484)	Loss 1.8978 (1.8374)	Prec@1 49.219 (51.941)	Prec@5 78.906 (81.483)
Epoch: [71][10510/14090]	Time 0.736 (1.228)	Data 0.001 (0.484)	Loss 1.9939 (1.8374)	Prec@1 46.875 (51.939)	Prec@5 81.250 (81.483)
Epoch: [71][10520/14090]	Time 0.774 (1.228)	Data 0.036 (0.484)	Loss 1.7094 (1.8375)	Prec@1 57.031 (51.938)	Prec@5 83.594 (81.482)
Epoch: [71][10530/14090]	Time 0.763 (1.228)	Data 0.001 (0.483)	Loss 1.7386 (1.8374)	Prec@1 51.562 (51.938)	Prec@5 82.031 (81.483)
Epoch: [71][10540/14090]	Time 0.732 (1.227)	Data 0.001 (0.483)	Loss 1.8902 (1.8374)	Prec@1 54.688 (51.939)	Prec@5 80.469 (81.484)
Epoch: [71][10550/14090]	Time 0.875 (1.227)	Data 0.001 (0.482)	Loss 1.7782 (1.8374)	Prec@1 46.875 (51.936)	Prec@5 82.031 (81.483)
Epoch: [71][10560/14090]	Time 0.749 (1.226)	Data 0.001 (0.482)	Loss 1.8049 (1.8374)	Prec@1 48.438 (51.934)	Prec@5 83.594 (81.483)
Epoch: [71][10570/14090]	Time 0.719 (1.226)	Data 0.001 (0.482)	Loss 1.5588 (1.8374)	Prec@1 57.812 (51.934)	Prec@5 87.500 (81.483)
Epoch: [71][10580/14090]	Time 0.730 (1.225)	Data 0.001 (0.481)	Loss 1.6309 (1.8374)	Prec@1 57.812 (51.934)	Prec@5 84.375 (81.482)
Epoch: [71][10590/14090]	Time 0.754 (1.225)	Data 0.001 (0.481)	Loss 1.8070 (1.8375)	Prec@1 46.094 (51.933)	Prec@5 83.594 (81.482)
Epoch: [71][10600/14090]	Time 0.730 (1.225)	Data 0.001 (0.480)	Loss 1.8421 (1.8375)	Prec@1 50.781 (51.932)	Prec@5 81.250 (81.481)
Epoch: [71][10610/14090]	Time 0.754 (1.224)	Data 0.001 (0.480)	Loss 1.7060 (1.8375)	Prec@1 54.688 (51.932)	Prec@5 83.594 (81.482)
Epoch: [71][10620/14090]	Time 0.851 (1.224)	Data 0.001 (0.480)	Loss 1.6793 (1.8374)	Prec@1 54.688 (51.933)	Prec@5 82.812 (81.483)
Epoch: [71][10630/14090]	Time 0.757 (1.224)	Data 0.001 (0.479)	Loss 1.7530 (1.8374)	Prec@1 50.000 (51.935)	Prec@5 84.375 (81.483)
Epoch: [71][10640/14090]	Time 1.063 (1.223)	Data 0.361 (0.479)	Loss 1.4397 (1.8373)	Prec@1 60.156 (51.937)	Prec@5 89.844 (81.484)
Epoch: [71][10650/14090]	Time 0.732 (1.223)	Data 0.001 (0.478)	Loss 1.8249 (1.8373)	Prec@1 49.219 (51.935)	Prec@5 80.469 (81.484)
Epoch: [71][10660/14090]	Time 0.747 (1.222)	Data 0.001 (0.478)	Loss 2.0076 (1.8374)	Prec@1 50.000 (51.934)	Prec@5 75.000 (81.483)
Epoch: [71][10670/14090]	Time 0.728 (1.222)	Data 0.001 (0.478)	Loss 1.8373 (1.8374)	Prec@1 55.469 (51.935)	Prec@5 79.688 (81.483)
Epoch: [71][10680/14090]	Time 0.749 (1.222)	Data 0.001 (0.477)	Loss 1.9390 (1.8373)	Prec@1 52.344 (51.935)	Prec@5 78.906 (81.484)
Epoch: [71][10690/14090]	Time 0.884 (1.221)	Data 0.001 (0.477)	Loss 1.8079 (1.8374)	Prec@1 54.688 (51.934)	Prec@5 82.812 (81.483)
Epoch: [71][10700/14090]	Time 0.787 (1.221)	Data 0.001 (0.476)	Loss 1.9485 (1.8373)	Prec@1 49.219 (51.934)	Prec@5 79.688 (81.483)
Epoch: [71][10710/14090]	Time 0.755 (1.220)	Data 0.001 (0.476)	Loss 1.9367 (1.8374)	Prec@1 48.438 (51.931)	Prec@5 79.688 (81.483)
Epoch: [71][10720/14090]	Time 0.728 (1.220)	Data 0.001 (0.476)	Loss 1.6937 (1.8374)	Prec@1 57.812 (51.930)	Prec@5 82.031 (81.483)
Epoch: [71][10730/14090]	Time 0.772 (1.220)	Data 0.001 (0.475)	Loss 2.0392 (1.8374)	Prec@1 48.438 (51.932)	Prec@5 75.781 (81.484)
Epoch: [71][10740/14090]	Time 0.727 (1.219)	Data 0.001 (0.475)	Loss 1.6203 (1.8374)	Prec@1 57.031 (51.932)	Prec@5 85.156 (81.482)
Epoch: [71][10750/14090]	Time 1.984 (1.219)	Data 1.257 (0.475)	Loss 1.9888 (1.8374)	Prec@1 43.750 (51.931)	Prec@5 78.906 (81.482)
Epoch: [71][10760/14090]	Time 0.864 (1.219)	Data 0.001 (0.474)	Loss 1.8842 (1.8374)	Prec@1 51.562 (51.931)	Prec@5 79.688 (81.483)
Epoch: [71][10770/14090]	Time 0.730 (1.218)	Data 0.001 (0.474)	Loss 1.9475 (1.8373)	Prec@1 48.438 (51.934)	Prec@5 78.125 (81.483)
Epoch: [71][10780/14090]	Time 0.734 (1.218)	Data 0.001 (0.473)	Loss 1.7707 (1.8374)	Prec@1 48.438 (51.931)	Prec@5 85.156 (81.483)
Epoch: [71][10790/14090]	Time 2.267 (1.217)	Data 1.560 (0.473)	Loss 1.9300 (1.8375)	Prec@1 57.031 (51.930)	Prec@5 76.562 (81.481)
Epoch: [71][10800/14090]	Time 0.725 (1.217)	Data 0.001 (0.473)	Loss 1.6171 (1.8375)	Prec@1 53.125 (51.928)	Prec@5 87.500 (81.482)
Epoch: [71][10810/14090]	Time 1.771 (1.217)	Data 1.073 (0.472)	Loss 2.0869 (1.8376)	Prec@1 40.625 (51.927)	Prec@5 76.562 (81.481)
Epoch: [71][10820/14090]	Time 0.753 (1.216)	Data 0.001 (0.472)	Loss 1.8789 (1.8376)	Prec@1 48.438 (51.927)	Prec@5 80.469 (81.482)
Epoch: [71][10830/14090]	Time 0.886 (1.216)	Data 0.001 (0.471)	Loss 2.1893 (1.8377)	Prec@1 44.531 (51.927)	Prec@5 74.219 (81.480)
Epoch: [71][10840/14090]	Time 0.724 (1.216)	Data 0.001 (0.471)	Loss 1.7990 (1.8376)	Prec@1 58.594 (51.929)	Prec@5 80.469 (81.481)
Epoch: [71][10850/14090]	Time 0.746 (1.215)	Data 0.001 (0.471)	Loss 1.7524 (1.8377)	Prec@1 49.219 (51.928)	Prec@5 85.938 (81.481)
Epoch: [71][10860/14090]	Time 0.754 (1.215)	Data 0.001 (0.470)	Loss 2.1343 (1.8376)	Prec@1 44.531 (51.928)	Prec@5 75.781 (81.482)
Epoch: [71][10870/14090]	Time 0.759 (1.214)	Data 0.001 (0.470)	Loss 1.9945 (1.8377)	Prec@1 49.219 (51.928)	Prec@5 79.688 (81.481)
Epoch: [71][10880/14090]	Time 1.409 (1.214)	Data 0.677 (0.470)	Loss 1.8783 (1.8377)	Prec@1 52.344 (51.927)	Prec@5 82.031 (81.482)
Epoch: [71][10890/14090]	Time 0.734 (1.214)	Data 0.001 (0.469)	Loss 1.7150 (1.8377)	Prec@1 57.031 (51.927)	Prec@5 82.812 (81.481)
Epoch: [71][10900/14090]	Time 0.865 (1.213)	Data 0.001 (0.469)	Loss 1.8296 (1.8377)	Prec@1 53.125 (51.927)	Prec@5 80.469 (81.482)
Epoch: [71][10910/14090]	Time 0.747 (1.213)	Data 0.001 (0.468)	Loss 1.9518 (1.8377)	Prec@1 47.656 (51.928)	Prec@5 82.031 (81.481)
Epoch: [71][10920/14090]	Time 2.470 (1.213)	Data 1.771 (0.468)	Loss 1.7484 (1.8378)	Prec@1 57.031 (51.927)	Prec@5 82.812 (81.480)
Epoch: [71][10930/14090]	Time 0.740 (1.212)	Data 0.001 (0.468)	Loss 2.0113 (1.8378)	Prec@1 51.562 (51.928)	Prec@5 75.000 (81.478)
Epoch: [71][10940/14090]	Time 0.864 (1.212)	Data 0.166 (0.467)	Loss 1.7746 (1.8378)	Prec@1 47.656 (51.926)	Prec@5 85.156 (81.478)
Epoch: [71][10950/14090]	Time 0.725 (1.212)	Data 0.001 (0.467)	Loss 1.5173 (1.8377)	Prec@1 56.250 (51.927)	Prec@5 89.062 (81.479)
Epoch: [71][10960/14090]	Time 1.061 (1.211)	Data 0.358 (0.467)	Loss 1.7763 (1.8378)	Prec@1 54.688 (51.927)	Prec@5 78.906 (81.479)
Epoch: [71][10970/14090]	Time 0.909 (1.211)	Data 0.001 (0.466)	Loss 1.8837 (1.8378)	Prec@1 50.781 (51.927)	Prec@5 81.250 (81.479)
Epoch: [71][10980/14090]	Time 0.920 (1.211)	Data 0.219 (0.466)	Loss 1.5109 (1.8377)	Prec@1 54.688 (51.926)	Prec@5 90.625 (81.480)
Epoch: [71][10990/14090]	Time 0.753 (1.210)	Data 0.001 (0.466)	Loss 1.7001 (1.8378)	Prec@1 56.250 (51.925)	Prec@5 83.594 (81.480)
Epoch: [71][11000/14090]	Time 0.733 (1.210)	Data 0.001 (0.465)	Loss 1.6921 (1.8377)	Prec@1 51.562 (51.925)	Prec@5 85.938 (81.480)
Epoch: [71][11010/14090]	Time 0.750 (1.210)	Data 0.001 (0.465)	Loss 1.7540 (1.8377)	Prec@1 54.688 (51.925)	Prec@5 78.125 (81.480)
Epoch: [71][11020/14090]	Time 0.737 (1.209)	Data 0.001 (0.465)	Loss 2.0887 (1.8377)	Prec@1 46.875 (51.923)	Prec@5 77.344 (81.482)
Epoch: [71][11030/14090]	Time 0.736 (1.209)	Data 0.001 (0.464)	Loss 2.2023 (1.8378)	Prec@1 46.094 (51.923)	Prec@5 73.438 (81.482)
Epoch: [71][11040/14090]	Time 0.870 (1.208)	Data 0.001 (0.464)	Loss 1.9870 (1.8377)	Prec@1 42.969 (51.923)	Prec@5 82.031 (81.483)
Epoch: [71][11050/14090]	Time 0.744 (1.208)	Data 0.039 (0.464)	Loss 1.9094 (1.8378)	Prec@1 51.562 (51.923)	Prec@5 78.906 (81.482)
Epoch: [71][11060/14090]	Time 0.782 (1.208)	Data 0.001 (0.463)	Loss 1.5049 (1.8378)	Prec@1 64.062 (51.924)	Prec@5 86.719 (81.481)
Epoch: [71][11070/14090]	Time 0.754 (1.208)	Data 0.001 (0.463)	Loss 1.7056 (1.8377)	Prec@1 46.875 (51.923)	Prec@5 79.688 (81.481)
Epoch: [71][11080/14090]	Time 0.823 (1.207)	Data 0.116 (0.463)	Loss 1.6839 (1.8378)	Prec@1 50.781 (51.921)	Prec@5 82.812 (81.480)
Epoch: [71][11090/14090]	Time 1.207 (1.207)	Data 0.503 (0.462)	Loss 1.8084 (1.8379)	Prec@1 52.344 (51.922)	Prec@5 84.375 (81.480)
Epoch: [71][11100/14090]	Time 0.753 (1.207)	Data 0.001 (0.462)	Loss 1.8728 (1.8379)	Prec@1 53.125 (51.920)	Prec@5 80.469 (81.478)
Epoch: [71][11110/14090]	Time 0.868 (1.206)	Data 0.001 (0.462)	Loss 1.7391 (1.8379)	Prec@1 53.906 (51.920)	Prec@5 84.375 (81.478)
Epoch: [71][11120/14090]	Time 0.772 (1.206)	Data 0.001 (0.461)	Loss 1.6460 (1.8379)	Prec@1 52.344 (51.919)	Prec@5 85.156 (81.479)
Epoch: [71][11130/14090]	Time 0.739 (1.205)	Data 0.001 (0.461)	Loss 1.7165 (1.8379)	Prec@1 53.125 (51.918)	Prec@5 85.156 (81.479)
Epoch: [71][11140/14090]	Time 0.742 (1.205)	Data 0.001 (0.460)	Loss 1.8506 (1.8378)	Prec@1 57.031 (51.921)	Prec@5 81.250 (81.481)
Epoch: [71][11150/14090]	Time 0.769 (1.205)	Data 0.001 (0.460)	Loss 1.7091 (1.8378)	Prec@1 46.875 (51.920)	Prec@5 86.719 (81.480)
Epoch: [71][11160/14090]	Time 0.765 (1.204)	Data 0.001 (0.460)	Loss 1.6422 (1.8378)	Prec@1 57.812 (51.919)	Prec@5 86.719 (81.480)
Epoch: [71][11170/14090]	Time 0.758 (1.204)	Data 0.001 (0.459)	Loss 1.6988 (1.8378)	Prec@1 48.438 (51.918)	Prec@5 84.375 (81.481)
Epoch: [71][11180/14090]	Time 0.862 (1.203)	Data 0.001 (0.459)	Loss 1.6355 (1.8378)	Prec@1 53.906 (51.917)	Prec@5 82.031 (81.481)
Epoch: [71][11190/14090]	Time 0.747 (1.203)	Data 0.001 (0.458)	Loss 1.9574 (1.8378)	Prec@1 46.094 (51.917)	Prec@5 82.031 (81.480)
Epoch: [71][11200/14090]	Time 0.756 (1.203)	Data 0.001 (0.458)	Loss 1.7727 (1.8378)	Prec@1 54.688 (51.918)	Prec@5 81.250 (81.479)
Epoch: [71][11210/14090]	Time 0.793 (1.202)	Data 0.001 (0.457)	Loss 1.9161 (1.8379)	Prec@1 49.219 (51.918)	Prec@5 81.250 (81.479)
Epoch: [71][11220/14090]	Time 0.744 (1.202)	Data 0.001 (0.457)	Loss 1.7746 (1.8379)	Prec@1 51.562 (51.916)	Prec@5 81.250 (81.479)
Epoch: [71][11230/14090]	Time 0.749 (1.201)	Data 0.001 (0.457)	Loss 2.1532 (1.8379)	Prec@1 42.188 (51.915)	Prec@5 81.250 (81.479)
Epoch: [71][11240/14090]	Time 0.740 (1.201)	Data 0.001 (0.456)	Loss 1.8250 (1.8379)	Prec@1 52.344 (51.915)	Prec@5 82.031 (81.478)
Epoch: [71][11250/14090]	Time 0.844 (1.201)	Data 0.001 (0.456)	Loss 1.9363 (1.8379)	Prec@1 49.219 (51.916)	Prec@5 75.000 (81.478)
Epoch: [71][11260/14090]	Time 0.765 (1.200)	Data 0.001 (0.455)	Loss 1.5564 (1.8379)	Prec@1 64.062 (51.916)	Prec@5 89.062 (81.478)
Epoch: [71][11270/14090]	Time 0.769 (1.200)	Data 0.001 (0.455)	Loss 1.9048 (1.8379)	Prec@1 48.438 (51.917)	Prec@5 79.688 (81.479)
Epoch: [71][11280/14090]	Time 0.724 (1.200)	Data 0.001 (0.455)	Loss 2.0432 (1.8379)	Prec@1 50.781 (51.916)	Prec@5 75.781 (81.477)
Epoch: [71][11290/14090]	Time 0.758 (1.199)	Data 0.001 (0.454)	Loss 1.7037 (1.8379)	Prec@1 48.438 (51.914)	Prec@5 83.594 (81.477)
Epoch: [71][11300/14090]	Time 0.741 (1.199)	Data 0.001 (0.454)	Loss 1.9049 (1.8378)	Prec@1 51.562 (51.916)	Prec@5 81.250 (81.479)
Epoch: [71][11310/14090]	Time 0.725 (1.198)	Data 0.001 (0.453)	Loss 1.9573 (1.8379)	Prec@1 50.000 (51.916)	Prec@5 79.688 (81.477)
Epoch: [71][11320/14090]	Time 0.855 (1.198)	Data 0.001 (0.453)	Loss 1.9131 (1.8380)	Prec@1 47.656 (51.914)	Prec@5 77.344 (81.476)
Epoch: [71][11330/14090]	Time 0.762 (1.198)	Data 0.001 (0.453)	Loss 1.9558 (1.8379)	Prec@1 49.219 (51.915)	Prec@5 78.125 (81.478)
Epoch: [71][11340/14090]	Time 0.750 (1.197)	Data 0.001 (0.452)	Loss 2.0632 (1.8380)	Prec@1 45.312 (51.914)	Prec@5 79.688 (81.477)
Epoch: [71][11350/14090]	Time 0.746 (1.197)	Data 0.001 (0.452)	Loss 1.8914 (1.8381)	Prec@1 50.781 (51.912)	Prec@5 80.469 (81.476)
Epoch: [71][11360/14090]	Time 0.737 (1.196)	Data 0.001 (0.451)	Loss 1.9098 (1.8380)	Prec@1 57.031 (51.912)	Prec@5 81.250 (81.477)
Epoch: [71][11370/14090]	Time 0.752 (1.196)	Data 0.001 (0.451)	Loss 1.6889 (1.8380)	Prec@1 58.594 (51.913)	Prec@5 84.375 (81.477)
Epoch: [71][11380/14090]	Time 0.731 (1.196)	Data 0.001 (0.451)	Loss 1.7697 (1.8379)	Prec@1 54.688 (51.916)	Prec@5 82.812 (81.479)
Epoch: [71][11390/14090]	Time 0.829 (1.195)	Data 0.001 (0.450)	Loss 1.7468 (1.8379)	Prec@1 54.688 (51.916)	Prec@5 84.375 (81.480)
Epoch: [71][11400/14090]	Time 0.746 (1.195)	Data 0.001 (0.450)	Loss 1.6667 (1.8379)	Prec@1 55.469 (51.916)	Prec@5 84.375 (81.480)
Epoch: [71][11410/14090]	Time 0.784 (1.195)	Data 0.001 (0.449)	Loss 1.9474 (1.8379)	Prec@1 46.875 (51.916)	Prec@5 82.812 (81.479)
Epoch: [71][11420/14090]	Time 0.731 (1.194)	Data 0.001 (0.449)	Loss 1.8800 (1.8380)	Prec@1 56.250 (51.915)	Prec@5 83.594 (81.478)
Epoch: [71][11430/14090]	Time 0.739 (1.194)	Data 0.001 (0.449)	Loss 1.9358 (1.8380)	Prec@1 50.781 (51.914)	Prec@5 79.688 (81.478)
Epoch: [71][11440/14090]	Time 0.750 (1.193)	Data 0.001 (0.448)	Loss 2.0007 (1.8380)	Prec@1 50.781 (51.916)	Prec@5 75.781 (81.477)
Epoch: [71][11450/14090]	Time 0.766 (1.193)	Data 0.001 (0.448)	Loss 1.7055 (1.8380)	Prec@1 53.125 (51.914)	Prec@5 81.250 (81.476)
Epoch: [71][11460/14090]	Time 0.881 (1.193)	Data 0.001 (0.447)	Loss 2.1464 (1.8381)	Prec@1 46.094 (51.912)	Prec@5 76.562 (81.476)
Epoch: [71][11470/14090]	Time 0.760 (1.192)	Data 0.001 (0.447)	Loss 1.7466 (1.8380)	Prec@1 54.688 (51.913)	Prec@5 79.688 (81.478)
Epoch: [71][11480/14090]	Time 0.731 (1.192)	Data 0.001 (0.447)	Loss 1.8476 (1.8381)	Prec@1 46.875 (51.911)	Prec@5 84.375 (81.476)
Epoch: [71][11490/14090]	Time 0.757 (1.192)	Data 0.001 (0.446)	Loss 1.7328 (1.8380)	Prec@1 54.688 (51.912)	Prec@5 85.938 (81.476)
Epoch: [71][11500/14090]	Time 0.751 (1.191)	Data 0.001 (0.446)	Loss 1.9826 (1.8381)	Prec@1 53.125 (51.910)	Prec@5 78.906 (81.475)
Epoch: [71][11510/14090]	Time 0.747 (1.191)	Data 0.001 (0.446)	Loss 2.0010 (1.8381)	Prec@1 44.531 (51.911)	Prec@5 77.344 (81.475)
Epoch: [71][11520/14090]	Time 0.736 (1.190)	Data 0.001 (0.445)	Loss 1.6910 (1.8381)	Prec@1 57.031 (51.911)	Prec@5 80.469 (81.475)
Epoch: [71][11530/14090]	Time 0.821 (1.190)	Data 0.001 (0.445)	Loss 1.7556 (1.8381)	Prec@1 57.031 (51.912)	Prec@5 80.469 (81.474)
Epoch: [71][11540/14090]	Time 0.740 (1.190)	Data 0.001 (0.444)	Loss 1.9731 (1.8381)	Prec@1 52.344 (51.912)	Prec@5 75.781 (81.473)
Epoch: [71][11550/14090]	Time 0.755 (1.189)	Data 0.001 (0.444)	Loss 1.8185 (1.8381)	Prec@1 51.562 (51.912)	Prec@5 81.250 (81.474)
Epoch: [71][11560/14090]	Time 0.728 (1.189)	Data 0.001 (0.444)	Loss 1.9663 (1.8381)	Prec@1 46.094 (51.910)	Prec@5 78.906 (81.472)
Epoch: [71][11570/14090]	Time 0.743 (1.189)	Data 0.001 (0.443)	Loss 2.0150 (1.8381)	Prec@1 41.406 (51.909)	Prec@5 82.031 (81.472)
Epoch: [71][11580/14090]	Time 0.726 (1.188)	Data 0.001 (0.443)	Loss 1.8906 (1.8381)	Prec@1 45.312 (51.909)	Prec@5 82.812 (81.473)
Epoch: [71][11590/14090]	Time 0.759 (1.188)	Data 0.001 (0.442)	Loss 1.6645 (1.8382)	Prec@1 57.812 (51.908)	Prec@5 84.375 (81.472)
Epoch: [71][11600/14090]	Time 0.835 (1.188)	Data 0.001 (0.442)	Loss 1.9826 (1.8383)	Prec@1 52.344 (51.908)	Prec@5 78.125 (81.470)
Epoch: [71][11610/14090]	Time 0.726 (1.187)	Data 0.001 (0.442)	Loss 1.5414 (1.8383)	Prec@1 59.375 (51.907)	Prec@5 89.062 (81.471)
Epoch: [71][11620/14090]	Time 0.736 (1.187)	Data 0.001 (0.441)	Loss 1.5140 (1.8383)	Prec@1 61.719 (51.907)	Prec@5 87.500 (81.470)
Epoch: [71][11630/14090]	Time 0.758 (1.186)	Data 0.001 (0.441)	Loss 1.9931 (1.8383)	Prec@1 55.469 (51.907)	Prec@5 78.125 (81.469)
Epoch: [71][11640/14090]	Time 0.761 (1.186)	Data 0.001 (0.441)	Loss 1.8294 (1.8384)	Prec@1 53.906 (51.907)	Prec@5 80.469 (81.468)
Epoch: [71][11650/14090]	Time 0.753 (1.186)	Data 0.001 (0.440)	Loss 1.8981 (1.8384)	Prec@1 45.312 (51.906)	Prec@5 82.031 (81.468)
Epoch: [71][11660/14090]	Time 0.735 (1.185)	Data 0.001 (0.440)	Loss 1.9240 (1.8384)	Prec@1 49.219 (51.907)	Prec@5 81.250 (81.468)
Epoch: [71][11670/14090]	Time 0.883 (1.185)	Data 0.001 (0.439)	Loss 2.2005 (1.8384)	Prec@1 46.094 (51.905)	Prec@5 77.344 (81.467)
Epoch: [71][11680/14090]	Time 0.732 (1.185)	Data 0.001 (0.439)	Loss 1.6976 (1.8385)	Prec@1 57.812 (51.904)	Prec@5 82.031 (81.466)
Epoch: [71][11690/14090]	Time 0.767 (1.184)	Data 0.001 (0.439)	Loss 1.8874 (1.8385)	Prec@1 47.656 (51.904)	Prec@5 85.156 (81.466)
Epoch: [71][11700/14090]	Time 0.730 (1.184)	Data 0.001 (0.438)	Loss 2.0363 (1.8385)	Prec@1 53.906 (51.905)	Prec@5 78.125 (81.466)
Epoch: [71][11710/14090]	Time 0.736 (1.184)	Data 0.001 (0.438)	Loss 1.8700 (1.8385)	Prec@1 47.656 (51.907)	Prec@5 80.469 (81.468)
Epoch: [71][11720/14090]	Time 0.746 (1.183)	Data 0.001 (0.438)	Loss 1.9835 (1.8385)	Prec@1 50.000 (51.908)	Prec@5 78.906 (81.467)
Epoch: [71][11730/14090]	Time 0.739 (1.183)	Data 0.001 (0.437)	Loss 1.7622 (1.8385)	Prec@1 59.375 (51.909)	Prec@5 80.469 (81.468)
Epoch: [71][11740/14090]	Time 0.854 (1.183)	Data 0.001 (0.437)	Loss 1.6662 (1.8386)	Prec@1 59.375 (51.907)	Prec@5 84.375 (81.466)
Epoch: [71][11750/14090]	Time 0.745 (1.182)	Data 0.001 (0.436)	Loss 1.9266 (1.8385)	Prec@1 46.875 (51.907)	Prec@5 82.812 (81.468)
Epoch: [71][11760/14090]	Time 0.751 (1.182)	Data 0.001 (0.436)	Loss 2.0826 (1.8385)	Prec@1 46.094 (51.907)	Prec@5 74.219 (81.467)
Epoch: [71][11770/14090]	Time 0.785 (1.181)	Data 0.001 (0.436)	Loss 2.0442 (1.8385)	Prec@1 46.094 (51.907)	Prec@5 75.781 (81.467)
Epoch: [71][11780/14090]	Time 0.752 (1.181)	Data 0.001 (0.435)	Loss 1.7798 (1.8385)	Prec@1 53.906 (51.906)	Prec@5 83.594 (81.467)
Epoch: [71][11790/14090]	Time 0.762 (1.181)	Data 0.001 (0.435)	Loss 1.8202 (1.8385)	Prec@1 52.344 (51.906)	Prec@5 77.344 (81.468)
Epoch: [71][11800/14090]	Time 0.723 (1.180)	Data 0.001 (0.435)	Loss 1.6957 (1.8385)	Prec@1 55.469 (51.905)	Prec@5 83.594 (81.468)
Epoch: [71][11810/14090]	Time 0.852 (1.180)	Data 0.001 (0.434)	Loss 1.6936 (1.8384)	Prec@1 53.125 (51.904)	Prec@5 85.156 (81.470)
Epoch: [71][11820/14090]	Time 0.767 (1.180)	Data 0.001 (0.434)	Loss 2.0288 (1.8385)	Prec@1 46.875 (51.904)	Prec@5 78.125 (81.470)
Epoch: [71][11830/14090]	Time 0.756 (1.179)	Data 0.001 (0.434)	Loss 1.8675 (1.8385)	Prec@1 53.125 (51.903)	Prec@5 81.250 (81.470)
Epoch: [71][11840/14090]	Time 0.754 (1.179)	Data 0.001 (0.433)	Loss 1.9938 (1.8386)	Prec@1 51.562 (51.900)	Prec@5 76.562 (81.468)
Epoch: [71][11850/14090]	Time 0.740 (1.179)	Data 0.001 (0.433)	Loss 2.1463 (1.8386)	Prec@1 51.562 (51.900)	Prec@5 74.219 (81.468)
Epoch: [71][11860/14090]	Time 0.774 (1.178)	Data 0.001 (0.432)	Loss 1.8341 (1.8386)	Prec@1 50.000 (51.899)	Prec@5 78.906 (81.468)
Epoch: [71][11870/14090]	Time 0.769 (1.178)	Data 0.001 (0.432)	Loss 1.6444 (1.8386)	Prec@1 53.906 (51.901)	Prec@5 85.938 (81.469)
Epoch: [71][11880/14090]	Time 0.826 (1.178)	Data 0.001 (0.432)	Loss 1.8822 (1.8386)	Prec@1 53.125 (51.900)	Prec@5 82.031 (81.469)
Epoch: [71][11890/14090]	Time 0.746 (1.177)	Data 0.001 (0.431)	Loss 1.8541 (1.8386)	Prec@1 52.344 (51.899)	Prec@5 78.906 (81.469)
Epoch: [71][11900/14090]	Time 0.741 (1.177)	Data 0.001 (0.431)	Loss 2.1413 (1.8387)	Prec@1 47.656 (51.898)	Prec@5 76.562 (81.469)
Epoch: [71][11910/14090]	Time 0.729 (1.177)	Data 0.001 (0.431)	Loss 1.9730 (1.8386)	Prec@1 52.344 (51.900)	Prec@5 78.125 (81.471)
Epoch: [71][11920/14090]	Time 0.770 (1.176)	Data 0.001 (0.430)	Loss 1.8413 (1.8386)	Prec@1 54.688 (51.901)	Prec@5 78.125 (81.471)
Epoch: [71][11930/14090]	Time 0.754 (1.176)	Data 0.001 (0.430)	Loss 1.9057 (1.8386)	Prec@1 50.000 (51.900)	Prec@5 78.906 (81.471)
Epoch: [71][11940/14090]	Time 0.756 (1.176)	Data 0.001 (0.430)	Loss 1.9888 (1.8386)	Prec@1 48.438 (51.900)	Prec@5 80.469 (81.471)
Epoch: [71][11950/14090]	Time 0.839 (1.175)	Data 0.001 (0.429)	Loss 1.7953 (1.8386)	Prec@1 48.438 (51.899)	Prec@5 80.469 (81.470)
Epoch: [71][11960/14090]	Time 0.746 (1.175)	Data 0.001 (0.429)	Loss 2.0273 (1.8387)	Prec@1 47.656 (51.898)	Prec@5 80.469 (81.469)
Epoch: [71][11970/14090]	Time 0.751 (1.175)	Data 0.001 (0.428)	Loss 1.9894 (1.8387)	Prec@1 46.875 (51.896)	Prec@5 79.688 (81.468)
Epoch: [71][11980/14090]	Time 0.748 (1.174)	Data 0.001 (0.428)	Loss 1.8424 (1.8388)	Prec@1 52.344 (51.894)	Prec@5 82.031 (81.468)
Epoch: [71][11990/14090]	Time 0.758 (1.174)	Data 0.001 (0.428)	Loss 1.9086 (1.8389)	Prec@1 48.438 (51.892)	Prec@5 80.469 (81.466)
Epoch: [71][12000/14090]	Time 0.739 (1.173)	Data 0.001 (0.427)	Loss 1.7227 (1.8390)	Prec@1 50.000 (51.891)	Prec@5 82.812 (81.466)
Epoch: [71][12010/14090]	Time 0.740 (1.173)	Data 0.001 (0.427)	Loss 2.1375 (1.8389)	Prec@1 46.094 (51.892)	Prec@5 72.656 (81.465)
Epoch: [71][12020/14090]	Time 0.862 (1.173)	Data 0.001 (0.427)	Loss 1.7467 (1.8389)	Prec@1 50.000 (51.892)	Prec@5 83.594 (81.467)
Epoch: [71][12030/14090]	Time 0.728 (1.172)	Data 0.001 (0.426)	Loss 1.7596 (1.8389)	Prec@1 57.812 (51.891)	Prec@5 83.594 (81.466)
Epoch: [71][12040/14090]	Time 0.765 (1.172)	Data 0.001 (0.426)	Loss 1.9907 (1.8390)	Prec@1 48.438 (51.887)	Prec@5 82.812 (81.465)
Epoch: [71][12050/14090]	Time 0.725 (1.172)	Data 0.001 (0.426)	Loss 1.7928 (1.8390)	Prec@1 50.781 (51.887)	Prec@5 80.469 (81.465)
Epoch: [71][12060/14090]	Time 0.747 (1.171)	Data 0.001 (0.425)	Loss 2.0612 (1.8391)	Prec@1 43.750 (51.885)	Prec@5 75.000 (81.463)
Epoch: [71][12070/14090]	Time 0.754 (1.171)	Data 0.001 (0.425)	Loss 1.7719 (1.8391)	Prec@1 52.344 (51.884)	Prec@5 84.375 (81.463)
Epoch: [71][12080/14090]	Time 0.740 (1.171)	Data 0.001 (0.425)	Loss 1.9758 (1.8392)	Prec@1 51.562 (51.882)	Prec@5 75.000 (81.461)
Epoch: [71][12090/14090]	Time 0.891 (1.170)	Data 0.001 (0.424)	Loss 1.7151 (1.8392)	Prec@1 53.906 (51.883)	Prec@5 82.812 (81.461)
Epoch: [71][12100/14090]	Time 0.750 (1.170)	Data 0.001 (0.424)	Loss 1.7948 (1.8391)	Prec@1 55.469 (51.885)	Prec@5 79.688 (81.463)
Epoch: [71][12110/14090]	Time 0.749 (1.170)	Data 0.001 (0.424)	Loss 1.5855 (1.8391)	Prec@1 57.812 (51.885)	Prec@5 84.375 (81.463)
Epoch: [71][12120/14090]	Time 0.744 (1.169)	Data 0.001 (0.423)	Loss 1.4923 (1.8390)	Prec@1 57.031 (51.886)	Prec@5 90.625 (81.466)
Epoch: [71][12130/14090]	Time 0.738 (1.169)	Data 0.001 (0.423)	Loss 1.9405 (1.8390)	Prec@1 50.000 (51.885)	Prec@5 77.344 (81.465)
Epoch: [71][12140/14090]	Time 0.779 (1.169)	Data 0.001 (0.422)	Loss 1.6520 (1.8391)	Prec@1 55.469 (51.885)	Prec@5 83.594 (81.464)
Epoch: [71][12150/14090]	Time 0.732 (1.168)	Data 0.001 (0.422)	Loss 1.6921 (1.8391)	Prec@1 53.125 (51.883)	Prec@5 85.938 (81.464)
Epoch: [71][12160/14090]	Time 0.880 (1.168)	Data 0.001 (0.422)	Loss 1.9082 (1.8392)	Prec@1 50.000 (51.882)	Prec@5 79.688 (81.464)
Epoch: [71][12170/14090]	Time 0.734 (1.168)	Data 0.001 (0.421)	Loss 1.9245 (1.8392)	Prec@1 49.219 (51.881)	Prec@5 79.688 (81.463)
Epoch: [71][12180/14090]	Time 0.740 (1.167)	Data 0.001 (0.421)	Loss 2.0141 (1.8392)	Prec@1 50.000 (51.882)	Prec@5 79.688 (81.463)
Epoch: [71][12190/14090]	Time 0.730 (1.167)	Data 0.001 (0.421)	Loss 2.0229 (1.8392)	Prec@1 49.219 (51.881)	Prec@5 78.125 (81.464)
Epoch: [71][12200/14090]	Time 0.756 (1.167)	Data 0.001 (0.420)	Loss 1.8463 (1.8392)	Prec@1 53.125 (51.880)	Prec@5 82.031 (81.463)
Epoch: [71][12210/14090]	Time 0.741 (1.166)	Data 0.001 (0.420)	Loss 1.8029 (1.8393)	Prec@1 50.781 (51.877)	Prec@5 80.469 (81.462)
Epoch: [71][12220/14090]	Time 0.740 (1.166)	Data 0.001 (0.420)	Loss 2.0374 (1.8393)	Prec@1 49.219 (51.877)	Prec@5 78.906 (81.462)
Epoch: [71][12230/14090]	Time 0.845 (1.166)	Data 0.001 (0.419)	Loss 2.1442 (1.8395)	Prec@1 48.438 (51.875)	Prec@5 70.312 (81.459)
Epoch: [71][12240/14090]	Time 0.748 (1.166)	Data 0.001 (0.419)	Loss 1.7930 (1.8395)	Prec@1 54.688 (51.873)	Prec@5 78.125 (81.458)
Epoch: [71][12250/14090]	Time 0.745 (1.165)	Data 0.001 (0.419)	Loss 1.9500 (1.8395)	Prec@1 48.438 (51.873)	Prec@5 78.125 (81.457)
Epoch: [71][12260/14090]	Time 0.753 (1.165)	Data 0.001 (0.418)	Loss 1.8876 (1.8395)	Prec@1 55.469 (51.874)	Prec@5 83.594 (81.457)
Epoch: [71][12270/14090]	Time 0.788 (1.165)	Data 0.001 (0.418)	Loss 2.0832 (1.8396)	Prec@1 46.875 (51.874)	Prec@5 74.219 (81.456)
Epoch: [71][12280/14090]	Time 0.738 (1.164)	Data 0.001 (0.418)	Loss 1.8636 (1.8395)	Prec@1 50.000 (51.875)	Prec@5 80.469 (81.457)
Epoch: [71][12290/14090]	Time 0.774 (1.164)	Data 0.001 (0.417)	Loss 1.5216 (1.8396)	Prec@1 60.156 (51.875)	Prec@5 88.281 (81.455)
Epoch: [71][12300/14090]	Time 0.830 (1.164)	Data 0.001 (0.417)	Loss 1.7680 (1.8396)	Prec@1 52.344 (51.873)	Prec@5 83.594 (81.456)
Epoch: [71][12310/14090]	Time 0.750 (1.163)	Data 0.001 (0.417)	Loss 2.1015 (1.8396)	Prec@1 48.438 (51.874)	Prec@5 69.531 (81.454)
Epoch: [71][12320/14090]	Time 0.745 (1.163)	Data 0.001 (0.416)	Loss 2.0461 (1.8397)	Prec@1 49.219 (51.873)	Prec@5 78.125 (81.454)
Epoch: [71][12330/14090]	Time 0.755 (1.163)	Data 0.001 (0.416)	Loss 1.8654 (1.8396)	Prec@1 48.438 (51.873)	Prec@5 81.250 (81.455)
Epoch: [71][12340/14090]	Time 0.740 (1.162)	Data 0.001 (0.416)	Loss 1.6839 (1.8396)	Prec@1 59.375 (51.874)	Prec@5 82.812 (81.455)
Epoch: [71][12350/14090]	Time 0.744 (1.162)	Data 0.001 (0.415)	Loss 1.7950 (1.8396)	Prec@1 55.469 (51.875)	Prec@5 83.594 (81.456)
Epoch: [71][12360/14090]	Time 0.777 (1.162)	Data 0.001 (0.415)	Loss 1.7084 (1.8396)	Prec@1 58.594 (51.875)	Prec@5 82.812 (81.455)
Epoch: [71][12370/14090]	Time 0.859 (1.161)	Data 0.001 (0.415)	Loss 1.7116 (1.8396)	Prec@1 54.688 (51.875)	Prec@5 81.250 (81.454)
Epoch: [71][12380/14090]	Time 0.758 (1.161)	Data 0.001 (0.414)	Loss 2.1283 (1.8396)	Prec@1 48.438 (51.874)	Prec@5 74.219 (81.455)
Epoch: [71][12390/14090]	Time 0.737 (1.161)	Data 0.001 (0.414)	Loss 1.5816 (1.8396)	Prec@1 58.594 (51.874)	Prec@5 86.719 (81.454)
Epoch: [71][12400/14090]	Time 0.775 (1.160)	Data 0.001 (0.414)	Loss 1.8690 (1.8396)	Prec@1 50.000 (51.875)	Prec@5 85.156 (81.455)
Epoch: [71][12410/14090]	Time 0.761 (1.160)	Data 0.001 (0.413)	Loss 1.9496 (1.8396)	Prec@1 49.219 (51.873)	Prec@5 78.906 (81.456)
Epoch: [71][12420/14090]	Time 0.753 (1.160)	Data 0.001 (0.413)	Loss 1.7404 (1.8396)	Prec@1 52.344 (51.872)	Prec@5 83.594 (81.456)
Epoch: [71][12430/14090]	Time 0.731 (1.159)	Data 0.001 (0.413)	Loss 1.9653 (1.8397)	Prec@1 50.000 (51.871)	Prec@5 79.688 (81.455)
Epoch: [71][12440/14090]	Time 0.904 (1.159)	Data 0.001 (0.412)	Loss 1.7757 (1.8397)	Prec@1 54.688 (51.869)	Prec@5 82.812 (81.454)
Epoch: [71][12450/14090]	Time 0.728 (1.159)	Data 0.001 (0.412)	Loss 1.7734 (1.8398)	Prec@1 53.906 (51.867)	Prec@5 85.156 (81.453)
Epoch: [71][12460/14090]	Time 0.758 (1.158)	Data 0.001 (0.412)	Loss 1.8038 (1.8398)	Prec@1 57.812 (51.867)	Prec@5 82.812 (81.452)
Epoch: [71][12470/14090]	Time 0.744 (1.158)	Data 0.001 (0.411)	Loss 1.5608 (1.8398)	Prec@1 55.469 (51.868)	Prec@5 87.500 (81.452)
Epoch: [71][12480/14090]	Time 0.752 (1.158)	Data 0.001 (0.411)	Loss 1.7640 (1.8398)	Prec@1 50.781 (51.867)	Prec@5 82.031 (81.453)
Epoch: [71][12490/14090]	Time 0.735 (1.158)	Data 0.001 (0.411)	Loss 2.1484 (1.8398)	Prec@1 45.312 (51.866)	Prec@5 75.000 (81.453)
Epoch: [71][12500/14090]	Time 0.737 (1.157)	Data 0.001 (0.410)	Loss 1.8921 (1.8398)	Prec@1 51.562 (51.866)	Prec@5 77.344 (81.453)
Epoch: [71][12510/14090]	Time 0.891 (1.157)	Data 0.001 (0.410)	Loss 1.9668 (1.8398)	Prec@1 49.219 (51.865)	Prec@5 78.125 (81.453)
Epoch: [71][12520/14090]	Time 0.736 (1.157)	Data 0.001 (0.410)	Loss 1.7358 (1.8399)	Prec@1 53.906 (51.864)	Prec@5 82.812 (81.452)
Epoch: [71][12530/14090]	Time 0.756 (1.156)	Data 0.001 (0.409)	Loss 1.9734 (1.8399)	Prec@1 48.438 (51.862)	Prec@5 78.125 (81.451)
Epoch: [71][12540/14090]	Time 0.751 (1.156)	Data 0.001 (0.409)	Loss 1.7926 (1.8399)	Prec@1 51.562 (51.863)	Prec@5 81.250 (81.451)
Epoch: [71][12550/14090]	Time 0.727 (1.156)	Data 0.001 (0.409)	Loss 1.7898 (1.8399)	Prec@1 54.688 (51.862)	Prec@5 82.812 (81.450)
Epoch: [71][12560/14090]	Time 0.758 (1.155)	Data 0.001 (0.408)	Loss 1.8789 (1.8400)	Prec@1 50.000 (51.862)	Prec@5 80.469 (81.449)
Epoch: [71][12570/14090]	Time 0.723 (1.155)	Data 0.001 (0.408)	Loss 1.8590 (1.8400)	Prec@1 53.906 (51.861)	Prec@5 78.125 (81.449)
Epoch: [71][12580/14090]	Time 0.866 (1.155)	Data 0.001 (0.408)	Loss 1.7514 (1.8399)	Prec@1 53.125 (51.864)	Prec@5 82.031 (81.450)
Epoch: [71][12590/14090]	Time 0.769 (1.154)	Data 0.001 (0.407)	Loss 2.0283 (1.8399)	Prec@1 50.000 (51.864)	Prec@5 81.250 (81.451)
Epoch: [71][12600/14090]	Time 0.755 (1.154)	Data 0.001 (0.407)	Loss 1.7658 (1.8398)	Prec@1 50.781 (51.864)	Prec@5 79.688 (81.452)
Epoch: [71][12610/14090]	Time 0.757 (1.154)	Data 0.001 (0.407)	Loss 2.1464 (1.8398)	Prec@1 41.406 (51.864)	Prec@5 78.125 (81.453)
Epoch: [71][12620/14090]	Time 0.762 (1.153)	Data 0.001 (0.406)	Loss 1.6813 (1.8398)	Prec@1 62.500 (51.865)	Prec@5 82.812 (81.454)
Epoch: [71][12630/14090]	Time 0.721 (1.153)	Data 0.001 (0.406)	Loss 1.8591 (1.8398)	Prec@1 53.125 (51.864)	Prec@5 80.469 (81.453)
Epoch: [71][12640/14090]	Time 0.729 (1.153)	Data 0.001 (0.406)	Loss 1.6724 (1.8398)	Prec@1 60.938 (51.865)	Prec@5 83.594 (81.453)
Epoch: [71][12650/14090]	Time 0.864 (1.153)	Data 0.001 (0.405)	Loss 1.8649 (1.8398)	Prec@1 52.344 (51.865)	Prec@5 81.250 (81.453)
Epoch: [71][12660/14090]	Time 0.724 (1.152)	Data 0.001 (0.405)	Loss 1.9759 (1.8398)	Prec@1 48.438 (51.864)	Prec@5 80.469 (81.453)
Epoch: [71][12670/14090]	Time 0.768 (1.152)	Data 0.001 (0.405)	Loss 1.7597 (1.8398)	Prec@1 53.125 (51.866)	Prec@5 82.812 (81.453)
Epoch: [71][12680/14090]	Time 0.726 (1.152)	Data 0.001 (0.405)	Loss 2.0387 (1.8398)	Prec@1 46.875 (51.867)	Prec@5 82.031 (81.453)
Epoch: [71][12690/14090]	Time 0.725 (1.151)	Data 0.001 (0.404)	Loss 1.8957 (1.8398)	Prec@1 55.469 (51.868)	Prec@5 80.469 (81.455)
Epoch: [71][12700/14090]	Time 0.763 (1.151)	Data 0.001 (0.404)	Loss 1.7825 (1.8398)	Prec@1 52.344 (51.868)	Prec@5 78.906 (81.455)
Epoch: [71][12710/14090]	Time 0.739 (1.151)	Data 0.001 (0.404)	Loss 2.0838 (1.8398)	Prec@1 49.219 (51.868)	Prec@5 82.031 (81.454)
Epoch: [71][12720/14090]	Time 0.878 (1.150)	Data 0.001 (0.403)	Loss 1.8692 (1.8398)	Prec@1 55.469 (51.869)	Prec@5 80.469 (81.455)
Epoch: [71][12730/14090]	Time 0.739 (1.150)	Data 0.001 (0.403)	Loss 2.1894 (1.8398)	Prec@1 41.406 (51.868)	Prec@5 75.000 (81.454)
Epoch: [71][12740/14090]	Time 0.743 (1.150)	Data 0.001 (0.403)	Loss 2.0096 (1.8398)	Prec@1 49.219 (51.869)	Prec@5 77.344 (81.452)
Epoch: [71][12750/14090]	Time 0.783 (1.150)	Data 0.001 (0.402)	Loss 2.0299 (1.8399)	Prec@1 52.344 (51.869)	Prec@5 79.688 (81.453)
Epoch: [71][12760/14090]	Time 0.762 (1.149)	Data 0.001 (0.402)	Loss 1.9374 (1.8399)	Prec@1 46.094 (51.868)	Prec@5 75.781 (81.452)
Epoch: [71][12770/14090]	Time 0.747 (1.149)	Data 0.001 (0.402)	Loss 1.8708 (1.8399)	Prec@1 49.219 (51.867)	Prec@5 78.906 (81.451)
Epoch: [71][12780/14090]	Time 0.769 (1.149)	Data 0.001 (0.401)	Loss 1.7171 (1.8399)	Prec@1 51.562 (51.867)	Prec@5 82.031 (81.451)
Epoch: [71][12790/14090]	Time 0.851 (1.148)	Data 0.001 (0.401)	Loss 2.0322 (1.8399)	Prec@1 51.562 (51.867)	Prec@5 78.125 (81.451)
Epoch: [71][12800/14090]	Time 0.754 (1.148)	Data 0.001 (0.401)	Loss 1.6500 (1.8399)	Prec@1 56.250 (51.867)	Prec@5 81.250 (81.451)
Epoch: [71][12810/14090]	Time 0.744 (1.148)	Data 0.001 (0.400)	Loss 1.9303 (1.8400)	Prec@1 50.000 (51.866)	Prec@5 78.125 (81.449)
Epoch: [71][12820/14090]	Time 0.765 (1.147)	Data 0.001 (0.400)	Loss 2.1417 (1.8400)	Prec@1 50.000 (51.865)	Prec@5 78.906 (81.449)
Epoch: [71][12830/14090]	Time 0.735 (1.147)	Data 0.001 (0.400)	Loss 1.6773 (1.8400)	Prec@1 58.594 (51.864)	Prec@5 80.469 (81.448)
Epoch: [71][12840/14090]	Time 0.765 (1.147)	Data 0.001 (0.399)	Loss 1.8124 (1.8400)	Prec@1 53.906 (51.865)	Prec@5 82.031 (81.448)
Epoch: [71][12850/14090]	Time 0.742 (1.147)	Data 0.001 (0.399)	Loss 1.8306 (1.8400)	Prec@1 51.562 (51.865)	Prec@5 81.250 (81.447)
Epoch: [71][12860/14090]	Time 0.851 (1.146)	Data 0.001 (0.399)	Loss 1.9382 (1.8400)	Prec@1 46.094 (51.866)	Prec@5 81.250 (81.447)
Epoch: [71][12870/14090]	Time 0.759 (1.146)	Data 0.001 (0.399)	Loss 1.7521 (1.8399)	Prec@1 52.344 (51.867)	Prec@5 85.156 (81.448)
Epoch: [71][12880/14090]	Time 0.755 (1.146)	Data 0.001 (0.398)	Loss 1.9326 (1.8399)	Prec@1 53.125 (51.866)	Prec@5 78.906 (81.447)
Epoch: [71][12890/14090]	Time 0.760 (1.145)	Data 0.001 (0.398)	Loss 1.7436 (1.8400)	Prec@1 55.469 (51.866)	Prec@5 82.031 (81.447)
Epoch: [71][12900/14090]	Time 0.764 (1.145)	Data 0.001 (0.398)	Loss 1.7878 (1.8399)	Prec@1 51.562 (51.867)	Prec@5 82.031 (81.447)
Epoch: [71][12910/14090]	Time 0.772 (1.145)	Data 0.001 (0.397)	Loss 1.8034 (1.8399)	Prec@1 55.469 (51.869)	Prec@5 82.031 (81.448)
Epoch: [71][12920/14090]	Time 0.756 (1.145)	Data 0.001 (0.397)	Loss 1.7728 (1.8399)	Prec@1 51.562 (51.868)	Prec@5 78.906 (81.447)
Epoch: [71][12930/14090]	Time 0.858 (1.144)	Data 0.001 (0.397)	Loss 1.7775 (1.8399)	Prec@1 58.594 (51.870)	Prec@5 80.469 (81.447)
Epoch: [71][12940/14090]	Time 0.738 (1.144)	Data 0.001 (0.396)	Loss 2.0535 (1.8399)	Prec@1 46.875 (51.869)	Prec@5 78.125 (81.447)
Epoch: [71][12950/14090]	Time 0.784 (1.144)	Data 0.001 (0.396)	Loss 2.0632 (1.8399)	Prec@1 50.781 (51.870)	Prec@5 73.438 (81.446)
Epoch: [71][12960/14090]	Time 0.763 (1.143)	Data 0.001 (0.396)	Loss 2.0756 (1.8400)	Prec@1 44.531 (51.869)	Prec@5 79.688 (81.445)
Epoch: [71][12970/14090]	Time 0.743 (1.143)	Data 0.001 (0.396)	Loss 1.8384 (1.8400)	Prec@1 48.438 (51.867)	Prec@5 84.375 (81.446)
Epoch: [71][12980/14090]	Time 0.731 (1.143)	Data 0.001 (0.395)	Loss 1.7942 (1.8400)	Prec@1 56.250 (51.865)	Prec@5 81.250 (81.444)
Epoch: [71][12990/14090]	Time 0.749 (1.142)	Data 0.001 (0.395)	Loss 2.1682 (1.8401)	Prec@1 51.562 (51.866)	Prec@5 76.562 (81.443)
Epoch: [71][13000/14090]	Time 0.876 (1.142)	Data 0.001 (0.395)	Loss 1.9490 (1.8401)	Prec@1 54.688 (51.866)	Prec@5 78.125 (81.443)
Epoch: [71][13010/14090]	Time 0.747 (1.142)	Data 0.001 (0.394)	Loss 1.9560 (1.8402)	Prec@1 47.656 (51.864)	Prec@5 77.344 (81.441)
Epoch: [71][13020/14090]	Time 0.751 (1.142)	Data 0.001 (0.394)	Loss 2.0098 (1.8402)	Prec@1 50.781 (51.864)	Prec@5 78.906 (81.440)
Epoch: [71][13030/14090]	Time 0.748 (1.141)	Data 0.001 (0.394)	Loss 1.9226 (1.8403)	Prec@1 46.094 (51.861)	Prec@5 78.125 (81.439)
Epoch: [71][13040/14090]	Time 0.748 (1.141)	Data 0.001 (0.393)	Loss 1.8808 (1.8403)	Prec@1 47.656 (51.860)	Prec@5 83.594 (81.439)
Epoch: [71][13050/14090]	Time 0.729 (1.141)	Data 0.001 (0.393)	Loss 1.8220 (1.8404)	Prec@1 57.812 (51.860)	Prec@5 85.938 (81.438)
Epoch: [71][13060/14090]	Time 0.738 (1.140)	Data 0.001 (0.393)	Loss 1.7332 (1.8404)	Prec@1 52.344 (51.858)	Prec@5 82.031 (81.436)
Epoch: [71][13070/14090]	Time 0.916 (1.140)	Data 0.001 (0.392)	Loss 1.7578 (1.8404)	Prec@1 53.125 (51.857)	Prec@5 81.250 (81.436)
Epoch: [71][13080/14090]	Time 0.775 (1.140)	Data 0.001 (0.392)	Loss 1.7386 (1.8404)	Prec@1 52.344 (51.858)	Prec@5 85.156 (81.437)
Epoch: [71][13090/14090]	Time 0.768 (1.140)	Data 0.001 (0.392)	Loss 1.7911 (1.8404)	Prec@1 54.688 (51.859)	Prec@5 80.469 (81.435)
Epoch: [71][13100/14090]	Time 0.778 (1.139)	Data 0.001 (0.392)	Loss 1.8339 (1.8404)	Prec@1 50.000 (51.859)	Prec@5 78.125 (81.435)
Epoch: [71][13110/14090]	Time 0.746 (1.139)	Data 0.001 (0.391)	Loss 2.1123 (1.8404)	Prec@1 42.188 (51.858)	Prec@5 75.000 (81.435)
Epoch: [71][13120/14090]	Time 0.738 (1.139)	Data 0.001 (0.391)	Loss 1.9900 (1.8404)	Prec@1 51.562 (51.858)	Prec@5 76.562 (81.433)
Epoch: [71][13130/14090]	Time 0.742 (1.138)	Data 0.001 (0.391)	Loss 2.1787 (1.8405)	Prec@1 46.094 (51.857)	Prec@5 73.438 (81.433)
Epoch: [71][13140/14090]	Time 0.855 (1.138)	Data 0.001 (0.390)	Loss 1.9243 (1.8405)	Prec@1 46.094 (51.855)	Prec@5 83.594 (81.432)
Epoch: [71][13150/14090]	Time 0.750 (1.138)	Data 0.001 (0.390)	Loss 1.9407 (1.8405)	Prec@1 55.469 (51.854)	Prec@5 76.562 (81.432)
Epoch: [71][13160/14090]	Time 0.759 (1.138)	Data 0.001 (0.390)	Loss 1.7087 (1.8405)	Prec@1 55.469 (51.856)	Prec@5 84.375 (81.433)
Epoch: [71][13170/14090]	Time 0.744 (1.137)	Data 0.001 (0.390)	Loss 1.9559 (1.8405)	Prec@1 53.906 (51.857)	Prec@5 79.688 (81.434)
Epoch: [71][13180/14090]	Time 0.751 (1.137)	Data 0.001 (0.389)	Loss 1.9036 (1.8404)	Prec@1 49.219 (51.859)	Prec@5 78.125 (81.435)
Epoch: [71][13190/14090]	Time 0.754 (1.137)	Data 0.001 (0.389)	Loss 1.7237 (1.8404)	Prec@1 57.031 (51.861)	Prec@5 85.938 (81.435)
Epoch: [71][13200/14090]	Time 0.756 (1.136)	Data 0.001 (0.389)	Loss 1.9647 (1.8404)	Prec@1 48.438 (51.859)	Prec@5 78.125 (81.435)
Epoch: [71][13210/14090]	Time 0.885 (1.136)	Data 0.001 (0.388)	Loss 1.8682 (1.8403)	Prec@1 52.344 (51.860)	Prec@5 82.812 (81.435)
Epoch: [71][13220/14090]	Time 0.733 (1.136)	Data 0.001 (0.388)	Loss 2.0050 (1.8403)	Prec@1 43.750 (51.860)	Prec@5 77.344 (81.435)
Epoch: [71][13230/14090]	Time 0.748 (1.136)	Data 0.001 (0.388)	Loss 1.5925 (1.8403)	Prec@1 56.250 (51.861)	Prec@5 82.812 (81.435)
Epoch: [71][13240/14090]	Time 0.740 (1.135)	Data 0.001 (0.387)	Loss 1.8572 (1.8404)	Prec@1 47.656 (51.860)	Prec@5 82.031 (81.434)
Epoch: [71][13250/14090]	Time 0.738 (1.135)	Data 0.001 (0.387)	Loss 1.5299 (1.8403)	Prec@1 55.469 (51.859)	Prec@5 89.062 (81.436)
Epoch: [71][13260/14090]	Time 0.734 (1.135)	Data 0.001 (0.387)	Loss 1.7174 (1.8403)	Prec@1 61.719 (51.860)	Prec@5 79.688 (81.436)
Epoch: [71][13270/14090]	Time 0.737 (1.135)	Data 0.001 (0.387)	Loss 1.5779 (1.8404)	Prec@1 55.469 (51.859)	Prec@5 86.719 (81.435)
Epoch: [71][13280/14090]	Time 0.862 (1.134)	Data 0.001 (0.386)	Loss 2.0767 (1.8404)	Prec@1 50.781 (51.859)	Prec@5 75.781 (81.436)
Epoch: [71][13290/14090]	Time 0.725 (1.134)	Data 0.001 (0.386)	Loss 1.7611 (1.8404)	Prec@1 56.250 (51.857)	Prec@5 82.031 (81.434)
Epoch: [71][13300/14090]	Time 0.737 (1.134)	Data 0.001 (0.386)	Loss 1.6245 (1.8405)	Prec@1 60.156 (51.856)	Prec@5 81.250 (81.432)
Epoch: [71][13310/14090]	Time 0.772 (1.133)	Data 0.001 (0.385)	Loss 1.8116 (1.8405)	Prec@1 48.438 (51.856)	Prec@5 78.125 (81.433)
Epoch: [71][13320/14090]	Time 0.737 (1.133)	Data 0.001 (0.385)	Loss 1.9514 (1.8405)	Prec@1 44.531 (51.855)	Prec@5 78.125 (81.433)
Epoch: [71][13330/14090]	Time 0.756 (1.133)	Data 0.001 (0.385)	Loss 1.7829 (1.8404)	Prec@1 55.469 (51.856)	Prec@5 82.812 (81.434)
Epoch: [71][13340/14090]	Time 0.754 (1.133)	Data 0.001 (0.385)	Loss 1.7570 (1.8404)	Prec@1 53.125 (51.857)	Prec@5 82.031 (81.434)
Epoch: [71][13350/14090]	Time 0.883 (1.132)	Data 0.001 (0.384)	Loss 1.7325 (1.8404)	Prec@1 52.344 (51.858)	Prec@5 82.812 (81.433)
Epoch: [71][13360/14090]	Time 0.761 (1.132)	Data 0.001 (0.384)	Loss 1.7142 (1.8404)	Prec@1 59.375 (51.856)	Prec@5 78.906 (81.432)
Epoch: [71][13370/14090]	Time 0.784 (1.132)	Data 0.001 (0.384)	Loss 1.4848 (1.8404)	Prec@1 66.406 (51.858)	Prec@5 87.500 (81.432)
Epoch: [71][13380/14090]	Time 0.752 (1.131)	Data 0.001 (0.383)	Loss 1.8414 (1.8403)	Prec@1 51.562 (51.858)	Prec@5 83.594 (81.432)
Epoch: [71][13390/14090]	Time 0.761 (1.131)	Data 0.001 (0.383)	Loss 2.0659 (1.8404)	Prec@1 46.875 (51.858)	Prec@5 78.125 (81.432)
Epoch: [71][13400/14090]	Time 0.747 (1.131)	Data 0.001 (0.383)	Loss 1.4651 (1.8404)	Prec@1 58.594 (51.857)	Prec@5 87.500 (81.431)
Epoch: [71][13410/14090]	Time 0.759 (1.131)	Data 0.001 (0.383)	Loss 1.6864 (1.8404)	Prec@1 50.781 (51.857)	Prec@5 85.938 (81.431)
Epoch: [71][13420/14090]	Time 0.867 (1.130)	Data 0.001 (0.382)	Loss 2.1144 (1.8404)	Prec@1 47.656 (51.857)	Prec@5 75.000 (81.431)
Epoch: [71][13430/14090]	Time 0.748 (1.130)	Data 0.001 (0.382)	Loss 1.7131 (1.8404)	Prec@1 55.469 (51.858)	Prec@5 84.375 (81.431)
Epoch: [71][13440/14090]	Time 0.733 (1.130)	Data 0.001 (0.382)	Loss 1.7620 (1.8404)	Prec@1 53.906 (51.859)	Prec@5 82.812 (81.432)
Epoch: [71][13450/14090]	Time 0.735 (1.130)	Data 0.001 (0.381)	Loss 1.9620 (1.8404)	Prec@1 57.812 (51.859)	Prec@5 82.812 (81.432)
Epoch: [71][13460/14090]	Time 0.749 (1.129)	Data 0.001 (0.381)	Loss 1.7426 (1.8403)	Prec@1 55.469 (51.861)	Prec@5 83.594 (81.433)
Epoch: [71][13470/14090]	Time 0.733 (1.129)	Data 0.001 (0.381)	Loss 1.9358 (1.8404)	Prec@1 47.656 (51.860)	Prec@5 82.812 (81.433)
Epoch: [71][13480/14090]	Time 0.721 (1.129)	Data 0.001 (0.381)	Loss 1.6728 (1.8403)	Prec@1 55.469 (51.860)	Prec@5 82.812 (81.433)
Epoch: [71][13490/14090]	Time 0.871 (1.129)	Data 0.001 (0.380)	Loss 1.5996 (1.8403)	Prec@1 64.844 (51.861)	Prec@5 86.719 (81.433)
Epoch: [71][13500/14090]	Time 0.745 (1.128)	Data 0.001 (0.380)	Loss 2.0394 (1.8404)	Prec@1 46.875 (51.860)	Prec@5 77.344 (81.431)
Epoch: [71][13510/14090]	Time 0.769 (1.128)	Data 0.001 (0.380)	Loss 1.8509 (1.8404)	Prec@1 49.219 (51.861)	Prec@5 80.469 (81.431)
Epoch: [71][13520/14090]	Time 0.741 (1.128)	Data 0.001 (0.379)	Loss 2.1704 (1.8404)	Prec@1 46.094 (51.861)	Prec@5 75.000 (81.431)
Epoch: [71][13530/14090]	Time 0.724 (1.127)	Data 0.001 (0.379)	Loss 1.6609 (1.8404)	Prec@1 53.906 (51.861)	Prec@5 81.250 (81.430)
Epoch: [71][13540/14090]	Time 0.759 (1.127)	Data 0.001 (0.379)	Loss 1.7569 (1.8404)	Prec@1 54.688 (51.861)	Prec@5 78.906 (81.431)
Epoch: [71][13550/14090]	Time 0.759 (1.127)	Data 0.001 (0.379)	Loss 1.8718 (1.8404)	Prec@1 54.688 (51.862)	Prec@5 79.688 (81.432)
Epoch: [71][13560/14090]	Time 0.841 (1.127)	Data 0.001 (0.378)	Loss 1.9089 (1.8403)	Prec@1 50.781 (51.862)	Prec@5 79.688 (81.432)
Epoch: [71][13570/14090]	Time 0.752 (1.126)	Data 0.001 (0.378)	Loss 1.7715 (1.8404)	Prec@1 50.000 (51.861)	Prec@5 82.812 (81.432)
Epoch: [71][13580/14090]	Time 0.745 (1.126)	Data 0.001 (0.378)	Loss 1.8490 (1.8405)	Prec@1 57.812 (51.859)	Prec@5 83.594 (81.431)
Epoch: [71][13590/14090]	Time 0.740 (1.126)	Data 0.001 (0.377)	Loss 1.7645 (1.8405)	Prec@1 50.781 (51.860)	Prec@5 80.469 (81.430)
Epoch: [71][13600/14090]	Time 0.755 (1.126)	Data 0.001 (0.377)	Loss 2.1309 (1.8405)	Prec@1 47.656 (51.858)	Prec@5 79.688 (81.430)
Epoch: [71][13610/14090]	Time 0.751 (1.125)	Data 0.001 (0.377)	Loss 1.6832 (1.8405)	Prec@1 59.375 (51.859)	Prec@5 83.594 (81.429)
Epoch: [71][13620/14090]	Time 0.764 (1.125)	Data 0.001 (0.377)	Loss 1.8610 (1.8405)	Prec@1 57.031 (51.861)	Prec@5 82.031 (81.430)
Epoch: [71][13630/14090]	Time 0.858 (1.125)	Data 0.001 (0.376)	Loss 2.0625 (1.8405)	Prec@1 42.188 (51.860)	Prec@5 72.656 (81.429)
Epoch: [71][13640/14090]	Time 0.761 (1.125)	Data 0.001 (0.376)	Loss 1.8026 (1.8405)	Prec@1 48.438 (51.858)	Prec@5 84.375 (81.428)
Epoch: [71][13650/14090]	Time 0.743 (1.124)	Data 0.001 (0.376)	Loss 1.4492 (1.8405)	Prec@1 63.281 (51.859)	Prec@5 86.719 (81.429)
Epoch: [71][13660/14090]	Time 0.751 (1.124)	Data 0.001 (0.376)	Loss 1.8623 (1.8404)	Prec@1 53.125 (51.860)	Prec@5 81.250 (81.430)
Epoch: [71][13670/14090]	Time 0.741 (1.124)	Data 0.001 (0.375)	Loss 1.7655 (1.8405)	Prec@1 52.344 (51.859)	Prec@5 84.375 (81.429)
Epoch: [71][13680/14090]	Time 0.749 (1.123)	Data 0.001 (0.375)	Loss 1.8016 (1.8404)	Prec@1 51.562 (51.859)	Prec@5 82.031 (81.430)
Epoch: [71][13690/14090]	Time 0.765 (1.123)	Data 0.001 (0.375)	Loss 1.8805 (1.8404)	Prec@1 48.438 (51.858)	Prec@5 79.688 (81.429)
Epoch: [71][13700/14090]	Time 0.896 (1.123)	Data 0.001 (0.374)	Loss 2.0570 (1.8404)	Prec@1 51.562 (51.859)	Prec@5 75.781 (81.429)
Epoch: [71][13710/14090]	Time 0.770 (1.123)	Data 0.001 (0.374)	Loss 1.8110 (1.8404)	Prec@1 54.688 (51.861)	Prec@5 81.250 (81.429)
Epoch: [71][13720/14090]	Time 0.753 (1.122)	Data 0.001 (0.374)	Loss 1.8564 (1.8404)	Prec@1 49.219 (51.862)	Prec@5 81.250 (81.429)
Epoch: [71][13730/14090]	Time 0.748 (1.122)	Data 0.001 (0.374)	Loss 1.6358 (1.8404)	Prec@1 57.812 (51.861)	Prec@5 82.812 (81.428)
Epoch: [71][13740/14090]	Time 0.734 (1.122)	Data 0.001 (0.373)	Loss 2.1707 (1.8405)	Prec@1 48.438 (51.859)	Prec@5 75.000 (81.427)
Epoch: [71][13750/14090]	Time 0.741 (1.122)	Data 0.001 (0.373)	Loss 1.7301 (1.8405)	Prec@1 57.812 (51.859)	Prec@5 81.250 (81.426)
Epoch: [71][13760/14090]	Time 0.752 (1.121)	Data 0.001 (0.373)	Loss 1.9038 (1.8405)	Prec@1 50.781 (51.860)	Prec@5 82.812 (81.426)
Epoch: [71][13770/14090]	Time 0.870 (1.121)	Data 0.001 (0.373)	Loss 1.8886 (1.8405)	Prec@1 51.562 (51.860)	Prec@5 80.469 (81.426)
Epoch: [71][13780/14090]	Time 0.731 (1.121)	Data 0.001 (0.372)	Loss 1.8018 (1.8405)	Prec@1 50.000 (51.859)	Prec@5 75.781 (81.426)
Epoch: [71][13790/14090]	Time 0.746 (1.121)	Data 0.001 (0.372)	Loss 1.6846 (1.8406)	Prec@1 53.906 (51.858)	Prec@5 85.156 (81.425)
Epoch: [71][13800/14090]	Time 0.748 (1.120)	Data 0.001 (0.372)	Loss 1.9766 (1.8406)	Prec@1 43.750 (51.858)	Prec@5 79.688 (81.424)
Epoch: [71][13810/14090]	Time 0.754 (1.120)	Data 0.001 (0.371)	Loss 1.6439 (1.8406)	Prec@1 50.781 (51.859)	Prec@5 86.719 (81.425)
Epoch: [71][13820/14090]	Time 0.745 (1.120)	Data 0.001 (0.371)	Loss 1.9275 (1.8406)	Prec@1 47.656 (51.858)	Prec@5 82.031 (81.423)
Epoch: [71][13830/14090]	Time 0.767 (1.120)	Data 0.001 (0.371)	Loss 1.6880 (1.8406)	Prec@1 57.812 (51.857)	Prec@5 82.031 (81.423)
Epoch: [71][13840/14090]	Time 0.861 (1.119)	Data 0.001 (0.371)	Loss 1.6411 (1.8406)	Prec@1 54.688 (51.856)	Prec@5 81.250 (81.422)
Epoch: [71][13850/14090]	Time 0.742 (1.119)	Data 0.001 (0.370)	Loss 1.7262 (1.8407)	Prec@1 49.219 (51.854)	Prec@5 82.812 (81.422)
Epoch: [71][13860/14090]	Time 0.754 (1.119)	Data 0.001 (0.370)	Loss 2.0082 (1.8407)	Prec@1 51.562 (51.854)	Prec@5 75.781 (81.422)
Epoch: [71][13870/14090]	Time 0.762 (1.119)	Data 0.001 (0.370)	Loss 1.5415 (1.8407)	Prec@1 56.250 (51.853)	Prec@5 87.500 (81.423)
Epoch: [71][13880/14090]	Time 0.745 (1.118)	Data 0.001 (0.370)	Loss 1.7788 (1.8407)	Prec@1 54.688 (51.852)	Prec@5 79.688 (81.422)
Epoch: [71][13890/14090]	Time 0.761 (1.118)	Data 0.001 (0.369)	Loss 1.9299 (1.8407)	Prec@1 47.656 (51.852)	Prec@5 83.594 (81.422)
Epoch: [71][13900/14090]	Time 0.747 (1.118)	Data 0.001 (0.369)	Loss 1.6912 (1.8408)	Prec@1 50.000 (51.852)	Prec@5 84.375 (81.422)
Epoch: [71][13910/14090]	Time 0.815 (1.118)	Data 0.001 (0.369)	Loss 2.0054 (1.8408)	Prec@1 49.219 (51.851)	Prec@5 79.688 (81.420)
Epoch: [71][13920/14090]	Time 0.739 (1.117)	Data 0.001 (0.369)	Loss 1.8247 (1.8408)	Prec@1 56.250 (51.851)	Prec@5 77.344 (81.421)
Epoch: [71][13930/14090]	Time 0.753 (1.117)	Data 0.001 (0.368)	Loss 2.3499 (1.8409)	Prec@1 45.312 (51.850)	Prec@5 68.750 (81.419)
Epoch: [71][13940/14090]	Time 0.749 (1.117)	Data 0.001 (0.368)	Loss 1.8340 (1.8409)	Prec@1 50.781 (51.849)	Prec@5 81.250 (81.418)
Epoch: [71][13950/14090]	Time 0.777 (1.117)	Data 0.001 (0.368)	Loss 2.1991 (1.8410)	Prec@1 37.500 (51.846)	Prec@5 75.000 (81.418)
Epoch: [71][13960/14090]	Time 0.749 (1.116)	Data 0.001 (0.368)	Loss 1.8304 (1.8409)	Prec@1 50.000 (51.848)	Prec@5 85.938 (81.419)
Epoch: [71][13970/14090]	Time 0.761 (1.116)	Data 0.001 (0.367)	Loss 1.7069 (1.8409)	Prec@1 53.906 (51.849)	Prec@5 83.594 (81.419)
Epoch: [71][13980/14090]	Time 0.849 (1.116)	Data 0.001 (0.367)	Loss 1.8047 (1.8409)	Prec@1 50.000 (51.847)	Prec@5 85.156 (81.419)
Epoch: [71][13990/14090]	Time 0.735 (1.116)	Data 0.001 (0.367)	Loss 1.6957 (1.8409)	Prec@1 55.469 (51.848)	Prec@5 85.156 (81.419)
Epoch: [71][14000/14090]	Time 0.765 (1.115)	Data 0.001 (0.366)	Loss 1.7435 (1.8409)	Prec@1 53.906 (51.849)	Prec@5 85.156 (81.420)
Epoch: [71][14010/14090]	Time 0.741 (1.115)	Data 0.001 (0.366)	Loss 1.6849 (1.8410)	Prec@1 53.125 (51.848)	Prec@5 81.250 (81.418)
Epoch: [71][14020/14090]	Time 0.745 (1.115)	Data 0.001 (0.366)	Loss 1.8472 (1.8409)	Prec@1 50.000 (51.848)	Prec@5 83.594 (81.420)
Epoch: [71][14030/14090]	Time 0.756 (1.115)	Data 0.001 (0.366)	Loss 1.9237 (1.8409)	Prec@1 50.000 (51.848)	Prec@5 79.688 (81.419)
Epoch: [71][14040/14090]	Time 0.749 (1.114)	Data 0.001 (0.365)	Loss 1.9568 (1.8409)	Prec@1 51.562 (51.848)	Prec@5 80.469 (81.419)
Epoch: [71][14050/14090]	Time 0.873 (1.114)	Data 0.001 (0.365)	Loss 2.0430 (1.8409)	Prec@1 51.562 (51.848)	Prec@5 75.000 (81.419)
Epoch: [71][14060/14090]	Time 0.768 (1.114)	Data 0.001 (0.365)	Loss 2.0737 (1.8409)	Prec@1 44.531 (51.848)	Prec@5 76.562 (81.419)
Epoch: [71][14070/14090]	Time 0.745 (1.114)	Data 0.001 (0.365)	Loss 1.7575 (1.8410)	Prec@1 57.031 (51.848)	Prec@5 82.031 (81.418)
Epoch: [71][14080/14090]	Time 0.744 (1.113)	Data 0.000 (0.364)	Loss 1.8359 (1.8409)	Prec@1 50.781 (51.849)	Prec@5 78.125 (81.419)
Test: [0/286]	Time 3.931 (3.931)	Loss 1.3028 (1.3028)	Prec@1 56.250 (56.250)	Prec@5 95.312 (95.312)
Test: [10/286]	Time 0.233 (0.657)	Loss 1.6126 (1.7724)	Prec@1 53.906 (52.202)	Prec@5 89.844 (85.156)
Test: [20/286]	Time 0.234 (0.493)	Loss 1.2750 (1.7273)	Prec@1 64.844 (53.162)	Prec@5 92.969 (85.938)
Test: [30/286]	Time 0.234 (0.437)	Loss 1.8273 (1.6301)	Prec@1 53.125 (56.250)	Prec@5 80.469 (86.240)
Test: [40/286]	Time 0.758 (0.421)	Loss 1.6225 (1.6536)	Prec@1 52.344 (55.755)	Prec@5 88.281 (85.995)
Test: [50/286]	Time 0.243 (0.403)	Loss 0.5122 (1.6406)	Prec@1 90.625 (55.852)	Prec@5 95.312 (86.382)
Test: [60/286]	Time 0.236 (0.389)	Loss 2.5698 (1.6699)	Prec@1 35.938 (55.469)	Prec@5 68.750 (85.323)
Test: [70/286]	Time 0.228 (0.380)	Loss 0.9997 (1.6496)	Prec@1 75.781 (55.821)	Prec@5 92.188 (85.618)
Test: [80/286]	Time 1.067 (0.384)	Loss 1.9441 (1.6920)	Prec@1 45.312 (54.495)	Prec@5 83.594 (85.147)
Test: [90/286]	Time 0.248 (0.377)	Loss 1.8936 (1.7011)	Prec@1 50.000 (54.447)	Prec@5 87.500 (85.088)
Test: [100/286]	Time 0.235 (0.371)	Loss 2.1455 (1.7065)	Prec@1 29.688 (53.960)	Prec@5 85.938 (85.141)
Test: [110/286]	Time 0.237 (0.365)	Loss 2.3121 (1.7184)	Prec@1 41.406 (53.667)	Prec@5 74.219 (85.044)
Test: [120/286]	Time 0.836 (0.368)	Loss 1.4743 (1.7067)	Prec@1 62.500 (54.119)	Prec@5 82.031 (85.118)
Test: [130/286]	Time 0.237 (0.365)	Loss 0.9625 (1.6980)	Prec@1 66.406 (54.431)	Prec@5 93.750 (85.180)
Test: [140/286]	Time 0.229 (0.362)	Loss 2.2025 (1.6923)	Prec@1 50.000 (54.582)	Prec@5 75.781 (85.167)
Test: [150/286]	Time 0.235 (0.360)	Loss 2.7273 (1.7010)	Prec@1 25.000 (54.237)	Prec@5 75.781 (85.151)
Test: [160/286]	Time 0.894 (0.361)	Loss 2.7055 (1.6987)	Prec@1 22.656 (54.338)	Prec@5 67.188 (85.127)
Test: [170/286]	Time 0.236 (0.359)	Loss 2.0229 (1.6929)	Prec@1 42.969 (54.441)	Prec@5 81.250 (85.188)
Test: [180/286]	Time 0.228 (0.357)	Loss 1.8034 (1.7046)	Prec@1 60.156 (54.217)	Prec@5 79.688 (85.001)
Test: [190/286]	Time 0.304 (0.355)	Loss 2.9293 (1.7235)	Prec@1 17.188 (53.743)	Prec@5 71.094 (84.833)
Test: [200/286]	Time 0.681 (0.356)	Loss 1.7076 (1.7183)	Prec@1 61.719 (53.957)	Prec@5 89.062 (84.849)
Test: [210/286]	Time 0.425 (0.355)	Loss 1.8525 (1.7246)	Prec@1 51.562 (53.743)	Prec@5 85.156 (84.805)
Test: [220/286]	Time 0.274 (0.354)	Loss 2.5263 (1.7290)	Prec@1 28.906 (53.751)	Prec@5 73.438 (84.661)
Test: [230/286]	Time 0.452 (0.353)	Loss 1.1272 (1.7273)	Prec@1 67.188 (53.747)	Prec@5 89.062 (84.639)
Test: [240/286]	Time 0.520 (0.353)	Loss 1.9066 (1.7254)	Prec@1 50.000 (53.838)	Prec@5 83.594 (84.683)
Test: [250/286]	Time 0.793 (0.354)	Loss 1.7540 (1.7173)	Prec@1 50.781 (53.956)	Prec@5 82.031 (84.861)
Test: [260/286]	Time 0.284 (0.353)	Loss 1.5334 (1.7069)	Prec@1 58.594 (54.271)	Prec@5 88.281 (85.025)
Test: [270/286]	Time 0.224 (0.351)	Loss 1.1914 (1.7076)	Prec@1 67.969 (54.272)	Prec@5 90.625 (85.015)
Test: [280/286]	Time 0.306 (0.351)	Loss 1.5929 (1.6915)	Prec@1 65.625 (54.854)	Prec@5 89.844 (85.162)
 * Prec@1 54.992 Prec@5 85.185
Epoch: [72][0/14090]	Time 5.814 (5.814)	Data 5.018 (5.018)	Loss 1.7397 (1.7397)	Prec@1 53.125 (53.125)	Prec@5 83.594 (83.594)
Epoch: [72][10/14090]	Time 0.719 (1.199)	Data 0.001 (0.457)	Loss 1.8971 (1.8339)	Prec@1 52.344 (52.486)	Prec@5 77.344 (79.830)
Epoch: [72][20/14090]	Time 0.839 (0.989)	Data 0.001 (0.240)	Loss 1.9363 (1.8376)	Prec@1 49.219 (52.121)	Prec@5 76.562 (81.176)
Epoch: [72][30/14090]	Time 0.739 (0.912)	Data 0.001 (0.163)	Loss 1.8351 (1.8326)	Prec@1 53.125 (52.268)	Prec@5 86.719 (81.326)
Epoch: [72][40/14090]	Time 0.727 (0.873)	Data 0.001 (0.123)	Loss 1.8353 (1.8281)	Prec@1 47.656 (51.810)	Prec@5 79.688 (81.460)
Epoch: [72][50/14090]	Time 0.746 (0.854)	Data 0.001 (0.099)	Loss 1.9084 (1.8348)	Prec@1 50.000 (51.945)	Prec@5 79.688 (81.265)
Epoch: [72][60/14090]	Time 0.744 (0.838)	Data 0.001 (0.083)	Loss 1.8082 (1.8378)	Prec@1 53.906 (51.998)	Prec@5 82.031 (81.071)
Epoch: [72][70/14090]	Time 0.743 (0.832)	Data 0.001 (0.072)	Loss 1.6102 (1.8408)	Prec@1 60.938 (51.871)	Prec@5 83.594 (80.964)
Epoch: [72][80/14090]	Time 0.753 (0.826)	Data 0.001 (0.063)	Loss 1.5269 (1.8297)	Prec@1 58.594 (52.016)	Prec@5 85.938 (81.240)
Epoch: [72][90/14090]	Time 0.859 (0.821)	Data 0.001 (0.056)	Loss 1.9490 (1.8241)	Prec@1 50.000 (52.146)	Prec@5 83.594 (81.550)
Epoch: [72][100/14090]	Time 0.749 (0.816)	Data 0.001 (0.051)	Loss 1.6374 (1.8237)	Prec@1 56.250 (52.135)	Prec@5 82.031 (81.552)
Epoch: [72][110/14090]	Time 0.750 (0.811)	Data 0.001 (0.046)	Loss 1.8548 (1.8212)	Prec@1 51.562 (52.126)	Prec@5 80.469 (81.644)
Epoch: [72][120/14090]	Time 0.755 (0.809)	Data 0.001 (0.042)	Loss 1.8064 (1.8219)	Prec@1 50.000 (52.060)	Prec@5 78.125 (81.624)
Epoch: [72][130/14090]	Time 0.768 (0.806)	Data 0.002 (0.039)	Loss 1.8767 (1.8266)	Prec@1 49.219 (52.016)	Prec@5 82.031 (81.536)
Epoch: [72][140/14090]	Time 0.728 (0.804)	Data 0.001 (0.036)	Loss 1.8367 (1.8321)	Prec@1 54.688 (51.917)	Prec@5 80.469 (81.433)
Epoch: [72][150/14090]	Time 0.754 (0.801)	Data 0.001 (0.034)	Loss 1.7235 (1.8324)	Prec@1 57.031 (51.940)	Prec@5 85.156 (81.483)
Epoch: [72][160/14090]	Time 0.889 (0.800)	Data 0.001 (0.032)	Loss 1.7351 (1.8343)	Prec@1 51.562 (51.868)	Prec@5 85.156 (81.425)
Epoch: [72][170/14090]	Time 0.770 (0.799)	Data 0.001 (0.030)	Loss 1.8479 (1.8284)	Prec@1 51.562 (52.024)	Prec@5 82.812 (81.547)
Epoch: [72][180/14090]	Time 0.741 (0.796)	Data 0.001 (0.029)	Loss 1.7280 (1.8294)	Prec@1 52.344 (51.977)	Prec@5 82.812 (81.522)
Epoch: [72][190/14090]	Time 0.764 (0.796)	Data 0.002 (0.027)	Loss 1.7250 (1.8299)	Prec@1 54.688 (52.053)	Prec@5 82.031 (81.500)
Epoch: [72][200/14090]	Time 0.769 (0.794)	Data 0.001 (0.026)	Loss 1.8417 (1.8295)	Prec@1 48.438 (52.068)	Prec@5 85.938 (81.580)
Epoch: [72][210/14090]	Time 0.749 (0.793)	Data 0.002 (0.025)	Loss 2.1374 (1.8334)	Prec@1 42.188 (51.977)	Prec@5 78.125 (81.528)
Epoch: [72][220/14090]	Time 0.772 (0.792)	Data 0.001 (0.024)	Loss 1.7541 (1.8303)	Prec@1 50.000 (52.033)	Prec@5 79.688 (81.593)
Epoch: [72][230/14090]	Time 0.937 (0.791)	Data 0.001 (0.023)	Loss 1.6574 (1.8297)	Prec@1 58.594 (52.087)	Prec@5 86.719 (81.592)
Epoch: [72][240/14090]	Time 0.740 (0.791)	Data 0.001 (0.022)	Loss 1.6776 (1.8270)	Prec@1 51.562 (52.097)	Prec@5 85.156 (81.671)
Epoch: [72][250/14090]	Time 0.753 (0.789)	Data 0.001 (0.021)	Loss 1.6391 (1.8283)	Prec@1 56.250 (52.073)	Prec@5 83.594 (81.683)
Epoch: [72][260/14090]	Time 0.743 (0.789)	Data 0.001 (0.020)	Loss 1.8919 (1.8300)	Prec@1 44.531 (51.988)	Prec@5 82.031 (81.645)
Epoch: [72][270/14090]	Time 0.741 (0.788)	Data 0.001 (0.019)	Loss 1.7291 (1.8310)	Prec@1 52.344 (51.932)	Prec@5 84.375 (81.642)
Epoch: [72][280/14090]	Time 0.763 (0.788)	Data 0.001 (0.019)	Loss 1.9065 (1.8313)	Prec@1 51.562 (51.927)	Prec@5 82.031 (81.659)
Epoch: [72][290/14090]	Time 0.758 (0.787)	Data 0.001 (0.018)	Loss 1.9674 (1.8328)	Prec@1 48.438 (51.906)	Prec@5 76.562 (81.596)
Epoch: [72][300/14090]	Time 0.911 (0.787)	Data 0.001 (0.018)	Loss 1.6459 (1.8328)	Prec@1 60.938 (51.960)	Prec@5 86.719 (81.600)
Epoch: [72][310/14090]	Time 0.745 (0.786)	Data 0.001 (0.017)	Loss 1.9377 (1.8310)	Prec@1 55.469 (52.030)	Prec@5 80.469 (81.672)
Epoch: [72][320/14090]	Time 0.770 (0.785)	Data 0.003 (0.017)	Loss 1.7554 (1.8299)	Prec@1 53.906 (52.066)	Prec@5 85.938 (81.681)
Epoch: [72][330/14090]	Time 0.735 (0.785)	Data 0.001 (0.016)	Loss 1.8980 (1.8306)	Prec@1 50.000 (52.039)	Prec@5 80.469 (81.628)
Epoch: [72][340/14090]	Time 0.777 (0.784)	Data 0.001 (0.016)	Loss 1.6012 (1.8302)	Prec@1 53.125 (52.099)	Prec@5 85.938 (81.633)
Epoch: [72][350/14090]	Time 0.755 (0.784)	Data 0.001 (0.015)	Loss 1.7095 (1.8294)	Prec@1 57.031 (52.148)	Prec@5 83.594 (81.631)
Epoch: [72][360/14090]	Time 0.756 (0.784)	Data 0.001 (0.015)	Loss 1.4853 (1.8272)	Prec@1 59.375 (52.171)	Prec@5 87.500 (81.676)
Epoch: [72][370/14090]	Time 0.889 (0.784)	Data 0.001 (0.014)	Loss 1.5302 (1.8270)	Prec@1 54.688 (52.177)	Prec@5 82.812 (81.684)
Epoch: [72][380/14090]	Time 0.752 (0.783)	Data 0.001 (0.014)	Loss 1.7444 (1.8264)	Prec@1 55.469 (52.204)	Prec@5 84.375 (81.691)
Epoch: [72][390/14090]	Time 0.756 (0.783)	Data 0.001 (0.014)	Loss 2.0379 (1.8279)	Prec@1 50.781 (52.166)	Prec@5 78.125 (81.676)
Epoch: [72][400/14090]	Time 0.763 (0.783)	Data 0.001 (0.013)	Loss 1.6836 (1.8284)	Prec@1 53.125 (52.127)	Prec@5 85.156 (81.679)
Epoch: [72][410/14090]	Time 0.749 (0.782)	Data 0.001 (0.013)	Loss 1.9115 (1.8273)	Prec@1 43.750 (52.137)	Prec@5 80.469 (81.683)
Epoch: [72][420/14090]	Time 0.748 (0.782)	Data 0.001 (0.013)	Loss 1.9282 (1.8277)	Prec@1 46.875 (52.091)	Prec@5 82.031 (81.671)
Epoch: [72][430/14090]	Time 0.762 (0.782)	Data 0.001 (0.013)	Loss 1.9577 (1.8274)	Prec@1 46.094 (52.141)	Prec@5 79.688 (81.665)
Epoch: [72][440/14090]	Time 0.898 (0.782)	Data 0.001 (0.012)	Loss 1.7375 (1.8267)	Prec@1 56.250 (52.184)	Prec@5 83.594 (81.688)
Epoch: [72][450/14090]	Time 0.724 (0.781)	Data 0.001 (0.012)	Loss 2.0739 (1.8269)	Prec@1 45.312 (52.162)	Prec@5 81.250 (81.683)
Epoch: [72][460/14090]	Time 0.721 (0.781)	Data 0.001 (0.012)	Loss 1.7485 (1.8270)	Prec@1 57.812 (52.152)	Prec@5 84.375 (81.675)
Epoch: [72][470/14090]	Time 0.752 (0.781)	Data 0.001 (0.012)	Loss 1.9107 (1.8265)	Prec@1 46.875 (52.130)	Prec@5 78.906 (81.676)
Epoch: [72][480/14090]	Time 0.741 (0.780)	Data 0.001 (0.011)	Loss 1.5098 (1.8264)	Prec@1 53.125 (52.163)	Prec@5 87.500 (81.695)
Epoch: [72][490/14090]	Time 0.728 (0.780)	Data 0.001 (0.011)	Loss 1.7138 (1.8258)	Prec@1 50.000 (52.169)	Prec@5 83.594 (81.699)
Epoch: [72][500/14090]	Time 0.787 (0.780)	Data 0.001 (0.011)	Loss 1.8784 (1.8254)	Prec@1 45.312 (52.155)	Prec@5 78.906 (81.708)
Epoch: [72][510/14090]	Time 0.853 (0.780)	Data 0.001 (0.011)	Loss 1.7497 (1.8248)	Prec@1 58.594 (52.159)	Prec@5 82.031 (81.741)
Epoch: [72][520/14090]	Time 0.744 (0.779)	Data 0.001 (0.011)	Loss 1.6325 (1.8250)	Prec@1 55.469 (52.129)	Prec@5 83.594 (81.742)
Epoch: [72][530/14090]	Time 0.731 (0.779)	Data 0.001 (0.010)	Loss 2.0149 (1.8240)	Prec@1 43.750 (52.157)	Prec@5 75.000 (81.738)
Epoch: [72][540/14090]	Time 0.748 (0.779)	Data 0.001 (0.010)	Loss 1.7063 (1.8242)	Prec@1 53.906 (52.113)	Prec@5 84.375 (81.751)
Epoch: [72][550/14090]	Time 0.758 (0.779)	Data 0.001 (0.010)	Loss 1.7158 (1.8239)	Prec@1 53.906 (52.108)	Prec@5 85.938 (81.762)
Epoch: [72][560/14090]	Time 0.757 (0.779)	Data 0.001 (0.010)	Loss 1.8239 (1.8234)	Prec@1 49.219 (52.128)	Prec@5 82.812 (81.774)
Epoch: [72][570/14090]	Time 0.779 (0.778)	Data 0.001 (0.010)	Loss 1.6728 (1.8231)	Prec@1 53.906 (52.115)	Prec@5 88.281 (81.795)
Epoch: [72][580/14090]	Time 0.857 (0.778)	Data 0.001 (0.010)	Loss 1.6371 (1.8224)	Prec@1 57.812 (52.138)	Prec@5 86.719 (81.803)
Epoch: [72][590/14090]	Time 0.755 (0.778)	Data 0.001 (0.009)	Loss 1.8886 (1.8231)	Prec@1 53.125 (52.119)	Prec@5 80.469 (81.795)
Epoch: [72][600/14090]	Time 0.750 (0.778)	Data 0.001 (0.009)	Loss 2.0650 (1.8228)	Prec@1 50.000 (52.150)	Prec@5 75.781 (81.813)
Epoch: [72][610/14090]	Time 0.759 (0.778)	Data 0.001 (0.009)	Loss 1.7665 (1.8228)	Prec@1 53.906 (52.155)	Prec@5 82.031 (81.805)
Epoch: [72][620/14090]	Time 0.761 (0.778)	Data 0.001 (0.009)	Loss 2.0453 (1.8237)	Prec@1 51.562 (52.161)	Prec@5 76.562 (81.770)
Epoch: [72][630/14090]	Time 0.750 (0.778)	Data 0.001 (0.009)	Loss 1.6546 (1.8231)	Prec@1 53.906 (52.163)	Prec@5 84.375 (81.780)
Epoch: [72][640/14090]	Time 0.750 (0.778)	Data 0.001 (0.009)	Loss 2.0645 (1.8232)	Prec@1 48.438 (52.151)	Prec@5 78.906 (81.779)
Epoch: [72][650/14090]	Time 0.870 (0.778)	Data 0.001 (0.009)	Loss 1.7374 (1.8227)	Prec@1 48.438 (52.140)	Prec@5 81.250 (81.794)
Epoch: [72][660/14090]	Time 0.741 (0.777)	Data 0.001 (0.009)	Loss 1.7419 (1.8228)	Prec@1 53.125 (52.142)	Prec@5 82.031 (81.788)
Epoch: [72][670/14090]	Time 0.733 (0.777)	Data 0.001 (0.008)	Loss 1.8575 (1.8230)	Prec@1 56.250 (52.166)	Prec@5 82.812 (81.760)
Epoch: [72][680/14090]	Time 0.778 (0.777)	Data 0.001 (0.008)	Loss 1.8268 (1.8227)	Prec@1 52.344 (52.160)	Prec@5 80.469 (81.747)
Epoch: [72][690/14090]	Time 0.748 (0.777)	Data 0.001 (0.008)	Loss 1.7814 (1.8222)	Prec@1 50.000 (52.159)	Prec@5 83.594 (81.758)
Epoch: [72][700/14090]	Time 0.749 (0.777)	Data 0.001 (0.008)	Loss 1.8266 (1.8221)	Prec@1 51.562 (52.167)	Prec@5 82.031 (81.747)
Epoch: [72][710/14090]	Time 0.766 (0.777)	Data 0.001 (0.008)	Loss 2.0611 (1.8231)	Prec@1 39.844 (52.146)	Prec@5 78.125 (81.742)
Epoch: [72][720/14090]	Time 0.877 (0.777)	Data 0.001 (0.008)	Loss 1.7536 (1.8231)	Prec@1 57.031 (52.142)	Prec@5 83.594 (81.753)
Epoch: [72][730/14090]	Time 0.735 (0.777)	Data 0.001 (0.008)	Loss 1.6786 (1.8229)	Prec@1 57.031 (52.152)	Prec@5 82.031 (81.750)
Epoch: [72][740/14090]	Time 0.732 (0.777)	Data 0.002 (0.008)	Loss 1.7667 (1.8226)	Prec@1 57.031 (52.205)	Prec@5 80.469 (81.753)
Epoch: [72][750/14090]	Time 0.779 (0.777)	Data 0.001 (0.008)	Loss 1.7534 (1.8225)	Prec@1 56.250 (52.227)	Prec@5 82.031 (81.741)
Epoch: [72][760/14090]	Time 0.746 (0.777)	Data 0.001 (0.008)	Loss 2.0235 (1.8224)	Prec@1 52.344 (52.246)	Prec@5 77.344 (81.739)
Epoch: [72][770/14090]	Time 0.761 (0.777)	Data 0.001 (0.007)	Loss 1.6956 (1.8227)	Prec@1 52.344 (52.222)	Prec@5 85.938 (81.724)
Epoch: [72][780/14090]	Time 0.743 (0.776)	Data 0.001 (0.007)	Loss 1.7834 (1.8236)	Prec@1 57.031 (52.192)	Prec@5 78.125 (81.712)
Epoch: [72][790/14090]	Time 0.885 (0.776)	Data 0.001 (0.007)	Loss 1.6774 (1.8243)	Prec@1 54.688 (52.180)	Prec@5 84.375 (81.702)
Epoch: [72][800/14090]	Time 0.777 (0.776)	Data 0.001 (0.007)	Loss 1.6831 (1.8237)	Prec@1 57.031 (52.205)	Prec@5 84.375 (81.713)
Epoch: [72][810/14090]	Time 0.749 (0.776)	Data 0.001 (0.007)	Loss 1.7078 (1.8244)	Prec@1 54.688 (52.196)	Prec@5 81.250 (81.711)
Epoch: [72][820/14090]	Time 0.757 (0.776)	Data 0.001 (0.007)	Loss 1.6208 (1.8243)	Prec@1 59.375 (52.196)	Prec@5 81.250 (81.714)
Epoch: [72][830/14090]	Time 0.748 (0.776)	Data 0.001 (0.007)	Loss 1.8328 (1.8242)	Prec@1 50.000 (52.212)	Prec@5 80.469 (81.703)
Epoch: [72][840/14090]	Time 0.744 (0.776)	Data 0.002 (0.007)	Loss 1.8850 (1.8246)	Prec@1 53.906 (52.202)	Prec@5 80.469 (81.692)
Epoch: [72][850/14090]	Time 0.749 (0.776)	Data 0.001 (0.007)	Loss 2.0191 (1.8241)	Prec@1 46.094 (52.204)	Prec@5 76.562 (81.698)
Epoch: [72][860/14090]	Time 0.947 (0.776)	Data 0.001 (0.007)	Loss 1.8144 (1.8235)	Prec@1 52.344 (52.219)	Prec@5 81.250 (81.712)
Epoch: [72][870/14090]	Time 0.777 (0.776)	Data 0.001 (0.007)	Loss 2.0023 (1.8228)	Prec@1 46.875 (52.255)	Prec@5 77.344 (81.715)
Epoch: [72][880/14090]	Time 0.733 (0.776)	Data 0.001 (0.007)	Loss 1.7032 (1.8225)	Prec@1 59.375 (52.274)	Prec@5 82.812 (81.714)
Epoch: [72][890/14090]	Time 0.728 (0.776)	Data 0.001 (0.007)	Loss 1.6889 (1.8229)	Prec@1 56.250 (52.274)	Prec@5 82.812 (81.716)
Epoch: [72][900/14090]	Time 0.746 (0.776)	Data 0.001 (0.006)	Loss 2.0930 (1.8240)	Prec@1 47.656 (52.236)	Prec@5 77.344 (81.700)
Epoch: [72][910/14090]	Time 0.756 (0.776)	Data 0.001 (0.006)	Loss 1.9184 (1.8233)	Prec@1 45.312 (52.249)	Prec@5 81.250 (81.708)
Epoch: [72][920/14090]	Time 0.761 (0.775)	Data 0.001 (0.006)	Loss 1.9213 (1.8220)	Prec@1 44.531 (52.283)	Prec@5 78.906 (81.724)
Epoch: [72][930/14090]	Time 0.865 (0.776)	Data 0.001 (0.006)	Loss 1.7288 (1.8218)	Prec@1 58.594 (52.293)	Prec@5 81.250 (81.731)
Epoch: [72][940/14090]	Time 0.751 (0.775)	Data 0.001 (0.006)	Loss 2.0444 (1.8214)	Prec@1 41.406 (52.286)	Prec@5 79.688 (81.743)
Epoch: [72][950/14090]	Time 0.779 (0.775)	Data 0.001 (0.006)	Loss 1.9427 (1.8223)	Prec@1 44.531 (52.264)	Prec@5 77.344 (81.717)
Epoch: [72][960/14090]	Time 0.762 (0.775)	Data 0.001 (0.006)	Loss 1.7219 (1.8211)	Prec@1 53.125 (52.297)	Prec@5 85.156 (81.729)
Epoch: [72][970/14090]	Time 0.724 (0.775)	Data 0.001 (0.006)	Loss 1.8229 (1.8205)	Prec@1 50.781 (52.316)	Prec@5 83.594 (81.746)
Epoch: [72][980/14090]	Time 0.754 (0.775)	Data 0.001 (0.006)	Loss 1.8726 (1.8205)	Prec@1 50.781 (52.315)	Prec@5 78.906 (81.740)
Epoch: [72][990/14090]	Time 0.766 (0.775)	Data 0.001 (0.006)	Loss 1.6239 (1.8198)	Prec@1 53.906 (52.330)	Prec@5 84.375 (81.754)
Epoch: [72][1000/14090]	Time 0.911 (0.775)	Data 0.002 (0.006)	Loss 1.8893 (1.8202)	Prec@1 48.438 (52.320)	Prec@5 78.906 (81.737)
Epoch: [72][1010/14090]	Time 0.765 (0.775)	Data 0.001 (0.006)	Loss 1.8262 (1.8201)	Prec@1 50.781 (52.333)	Prec@5 81.250 (81.739)
Epoch: [72][1020/14090]	Time 0.742 (0.775)	Data 0.001 (0.006)	Loss 1.9863 (1.8202)	Prec@1 44.531 (52.341)	Prec@5 80.469 (81.738)
Epoch: [72][1030/14090]	Time 0.739 (0.775)	Data 0.001 (0.006)	Loss 2.0783 (1.8217)	Prec@1 48.438 (52.306)	Prec@5 75.000 (81.715)
Epoch: [72][1040/14090]	Time 0.733 (0.775)	Data 0.001 (0.006)	Loss 1.3737 (1.8209)	Prec@1 57.031 (52.326)	Prec@5 89.062 (81.730)
Epoch: [72][1050/14090]	Time 0.740 (0.775)	Data 0.001 (0.006)	Loss 1.6823 (1.8204)	Prec@1 59.375 (52.336)	Prec@5 84.375 (81.741)
Epoch: [72][1060/14090]	Time 0.736 (0.775)	Data 0.001 (0.006)	Loss 1.8580 (1.8206)	Prec@1 52.344 (52.327)	Prec@5 76.562 (81.726)
Epoch: [72][1070/14090]	Time 0.876 (0.775)	Data 0.001 (0.006)	Loss 1.5003 (1.8199)	Prec@1 52.344 (52.339)	Prec@5 86.719 (81.737)
Epoch: [72][1080/14090]	Time 0.746 (0.774)	Data 0.001 (0.006)	Loss 1.7997 (1.8199)	Prec@1 53.906 (52.337)	Prec@5 80.469 (81.747)
Epoch: [72][1090/14090]	Time 0.774 (0.774)	Data 0.001 (0.005)	Loss 1.8717 (1.8205)	Prec@1 48.438 (52.314)	Prec@5 82.031 (81.743)
Epoch: [72][1100/14090]	Time 0.741 (0.774)	Data 0.001 (0.005)	Loss 1.7530 (1.8202)	Prec@1 53.125 (52.327)	Prec@5 81.250 (81.752)
Epoch: [72][1110/14090]	Time 0.732 (0.774)	Data 0.001 (0.005)	Loss 1.8750 (1.8206)	Prec@1 51.562 (52.319)	Prec@5 79.688 (81.748)
Epoch: [72][1120/14090]	Time 0.765 (0.774)	Data 0.001 (0.005)	Loss 1.7560 (1.8209)	Prec@1 54.688 (52.317)	Prec@5 82.031 (81.754)
Epoch: [72][1130/14090]	Time 0.766 (0.774)	Data 0.001 (0.005)	Loss 1.8685 (1.8217)	Prec@1 54.688 (52.301)	Prec@5 79.688 (81.742)
Epoch: [72][1140/14090]	Time 0.855 (0.774)	Data 0.001 (0.005)	Loss 1.7641 (1.8210)	Prec@1 51.562 (52.307)	Prec@5 82.812 (81.757)
Epoch: [72][1150/14090]	Time 0.762 (0.774)	Data 0.001 (0.005)	Loss 1.7756 (1.8208)	Prec@1 53.125 (52.310)	Prec@5 81.250 (81.765)
Epoch: [72][1160/14090]	Time 0.736 (0.774)	Data 0.001 (0.005)	Loss 1.7128 (1.8205)	Prec@1 56.250 (52.314)	Prec@5 82.812 (81.772)
Epoch: [72][1170/14090]	Time 0.739 (0.774)	Data 0.001 (0.005)	Loss 1.8834 (1.8201)	Prec@1 55.469 (52.338)	Prec@5 78.906 (81.785)
Epoch: [72][1180/14090]	Time 0.744 (0.774)	Data 0.001 (0.005)	Loss 1.3593 (1.8198)	Prec@1 61.719 (52.349)	Prec@5 89.062 (81.791)
Epoch: [72][1190/14090]	Time 0.753 (0.774)	Data 0.001 (0.005)	Loss 1.7253 (1.8202)	Prec@1 53.125 (52.341)	Prec@5 83.594 (81.783)
Epoch: [72][1200/14090]	Time 0.769 (0.774)	Data 0.001 (0.005)	Loss 1.5887 (1.8200)	Prec@1 57.031 (52.338)	Prec@5 86.719 (81.799)
Epoch: [72][1210/14090]	Time 0.856 (0.774)	Data 0.002 (0.005)	Loss 2.0139 (1.8204)	Prec@1 48.438 (52.315)	Prec@5 79.688 (81.789)
Epoch: [72][1220/14090]	Time 0.737 (0.774)	Data 0.001 (0.005)	Loss 2.1980 (1.8214)	Prec@1 44.531 (52.293)	Prec@5 75.000 (81.771)
Epoch: [72][1230/14090]	Time 0.746 (0.773)	Data 0.001 (0.005)	Loss 1.9632 (1.8217)	Prec@1 46.875 (52.266)	Prec@5 82.812 (81.772)
Epoch: [72][1240/14090]	Time 0.774 (0.774)	Data 0.001 (0.005)	Loss 1.8371 (1.8221)	Prec@1 50.781 (52.263)	Prec@5 79.688 (81.766)
Epoch: [72][1250/14090]	Time 0.767 (0.773)	Data 0.001 (0.005)	Loss 2.1127 (1.8229)	Prec@1 49.219 (52.255)	Prec@5 71.094 (81.752)
Epoch: [72][1260/14090]	Time 0.733 (0.774)	Data 0.001 (0.005)	Loss 2.0872 (1.8226)	Prec@1 46.094 (52.253)	Prec@5 78.906 (81.760)
Epoch: [72][1270/14090]	Time 0.756 (0.773)	Data 0.001 (0.005)	Loss 2.0405 (1.8224)	Prec@1 42.969 (52.252)	Prec@5 78.125 (81.764)
Epoch: [72][1280/14090]	Time 0.853 (0.773)	Data 0.001 (0.005)	Loss 2.0386 (1.8223)	Prec@1 45.312 (52.255)	Prec@5 82.812 (81.772)
Epoch: [72][1290/14090]	Time 0.746 (0.773)	Data 0.001 (0.005)	Loss 1.7854 (1.8220)	Prec@1 57.812 (52.259)	Prec@5 84.375 (81.783)
Epoch: [72][1300/14090]	Time 0.742 (0.773)	Data 0.001 (0.005)	Loss 1.9901 (1.8221)	Prec@1 50.781 (52.267)	Prec@5 78.125 (81.774)
Epoch: [72][1310/14090]	Time 0.755 (0.773)	Data 0.001 (0.005)	Loss 1.9575 (1.8214)	Prec@1 46.094 (52.279)	Prec@5 80.469 (81.786)
Epoch: [72][1320/14090]	Time 0.756 (0.773)	Data 0.001 (0.005)	Loss 1.7382 (1.8211)	Prec@1 58.594 (52.284)	Prec@5 84.375 (81.792)
Epoch: [72][1330/14090]	Time 0.772 (0.773)	Data 0.001 (0.005)	Loss 2.0803 (1.8214)	Prec@1 40.625 (52.276)	Prec@5 77.344 (81.785)
Epoch: [72][1340/14090]	Time 0.747 (0.773)	Data 0.001 (0.005)	Loss 1.6181 (1.8211)	Prec@1 58.594 (52.280)	Prec@5 85.156 (81.791)
Epoch: [72][1350/14090]	Time 0.866 (0.773)	Data 0.001 (0.005)	Loss 1.9034 (1.8216)	Prec@1 56.250 (52.269)	Prec@5 77.344 (81.791)
Epoch: [72][1360/14090]	Time 0.759 (0.773)	Data 0.001 (0.005)	Loss 1.7474 (1.8215)	Prec@1 59.375 (52.269)	Prec@5 83.594 (81.795)
Epoch: [72][1370/14090]	Time 0.753 (0.773)	Data 0.001 (0.005)	Loss 1.9632 (1.8212)	Prec@1 47.656 (52.273)	Prec@5 80.469 (81.790)
Epoch: [72][1380/14090]	Time 0.732 (0.773)	Data 0.001 (0.005)	Loss 1.6905 (1.8211)	Prec@1 57.812 (52.280)	Prec@5 86.719 (81.792)
Epoch: [72][1390/14090]	Time 0.759 (0.773)	Data 0.001 (0.005)	Loss 1.7340 (1.8211)	Prec@1 59.375 (52.283)	Prec@5 79.688 (81.798)
Epoch: [72][1400/14090]	Time 0.731 (0.773)	Data 0.001 (0.004)	Loss 1.8263 (1.8211)	Prec@1 54.688 (52.291)	Prec@5 81.250 (81.794)
Epoch: [72][1410/14090]	Time 0.733 (0.772)	Data 0.001 (0.004)	Loss 1.7057 (1.8213)	Prec@1 53.906 (52.277)	Prec@5 85.938 (81.789)
Epoch: [72][1420/14090]	Time 0.872 (0.772)	Data 0.001 (0.004)	Loss 1.9880 (1.8214)	Prec@1 47.656 (52.272)	Prec@5 81.250 (81.794)
Epoch: [72][1430/14090]	Time 0.758 (0.772)	Data 0.001 (0.004)	Loss 1.9670 (1.8222)	Prec@1 49.219 (52.243)	Prec@5 73.438 (81.780)
Epoch: [72][1440/14090]	Time 0.770 (0.772)	Data 0.001 (0.004)	Loss 1.8683 (1.8217)	Prec@1 49.219 (52.245)	Prec@5 84.375 (81.789)
Epoch: [72][1450/14090]	Time 0.734 (0.772)	Data 0.001 (0.004)	Loss 1.8330 (1.8214)	Prec@1 57.812 (52.260)	Prec@5 83.594 (81.794)
Epoch: [72][1460/14090]	Time 0.743 (0.772)	Data 0.001 (0.004)	Loss 1.8813 (1.8212)	Prec@1 46.875 (52.255)	Prec@5 83.594 (81.801)
Epoch: [72][1470/14090]	Time 0.752 (0.772)	Data 0.001 (0.004)	Loss 1.8955 (1.8214)	Prec@1 50.000 (52.250)	Prec@5 78.125 (81.790)
Epoch: [72][1480/14090]	Time 0.732 (0.772)	Data 0.001 (0.004)	Loss 1.9586 (1.8214)	Prec@1 45.312 (52.235)	Prec@5 80.469 (81.785)
Epoch: [72][1490/14090]	Time 0.871 (0.772)	Data 0.001 (0.004)	Loss 1.9708 (1.8215)	Prec@1 50.000 (52.227)	Prec@5 78.125 (81.785)
Epoch: [72][1500/14090]	Time 0.741 (0.772)	Data 0.001 (0.004)	Loss 1.5848 (1.8213)	Prec@1 55.469 (52.237)	Prec@5 84.375 (81.788)
Epoch: [72][1510/14090]	Time 0.761 (0.772)	Data 0.001 (0.004)	Loss 1.9512 (1.8214)	Prec@1 48.438 (52.241)	Prec@5 79.688 (81.792)
Epoch: [72][1520/14090]	Time 0.781 (0.772)	Data 0.001 (0.004)	Loss 2.1750 (1.8220)	Prec@1 45.312 (52.234)	Prec@5 71.875 (81.782)
Epoch: [72][1530/14090]	Time 0.777 (0.772)	Data 0.001 (0.004)	Loss 1.7175 (1.8218)	Prec@1 57.031 (52.239)	Prec@5 87.500 (81.792)
Epoch: [72][1540/14090]	Time 0.753 (0.772)	Data 0.001 (0.004)	Loss 1.8381 (1.8219)	Prec@1 46.875 (52.240)	Prec@5 79.688 (81.788)
Epoch: [72][1550/14090]	Time 0.741 (0.772)	Data 0.001 (0.004)	Loss 2.1143 (1.8219)	Prec@1 43.750 (52.244)	Prec@5 75.781 (81.791)
Epoch: [72][1560/14090]	Time 0.848 (0.772)	Data 0.001 (0.004)	Loss 1.5769 (1.8227)	Prec@1 54.688 (52.229)	Prec@5 85.938 (81.784)
Epoch: [72][1570/14090]	Time 0.736 (0.772)	Data 0.001 (0.004)	Loss 1.9061 (1.8230)	Prec@1 50.781 (52.220)	Prec@5 82.031 (81.778)
Epoch: [72][1580/14090]	Time 0.740 (0.772)	Data 0.001 (0.004)	Loss 1.7580 (1.8232)	Prec@1 53.906 (52.227)	Prec@5 80.469 (81.763)
Epoch: [72][1590/14090]	Time 0.766 (0.772)	Data 0.001 (0.004)	Loss 1.9301 (1.8234)	Prec@1 47.656 (52.220)	Prec@5 77.344 (81.756)
Epoch: [72][1600/14090]	Time 0.756 (0.772)	Data 0.001 (0.004)	Loss 1.6088 (1.8228)	Prec@1 55.469 (52.232)	Prec@5 85.156 (81.761)
Epoch: [72][1610/14090]	Time 0.756 (0.772)	Data 0.001 (0.004)	Loss 2.0076 (1.8228)	Prec@1 45.312 (52.235)	Prec@5 79.688 (81.758)
Epoch: [72][1620/14090]	Time 0.779 (0.772)	Data 0.001 (0.004)	Loss 2.0820 (1.8228)	Prec@1 42.969 (52.228)	Prec@5 82.031 (81.761)
Epoch: [72][1630/14090]	Time 0.851 (0.772)	Data 0.001 (0.004)	Loss 1.6330 (1.8230)	Prec@1 57.031 (52.223)	Prec@5 84.375 (81.756)
Epoch: [72][1640/14090]	Time 0.771 (0.771)	Data 0.001 (0.004)	Loss 1.9879 (1.8233)	Prec@1 43.750 (52.211)	Prec@5 78.125 (81.755)
Epoch: [72][1650/14090]	Time 0.746 (0.771)	Data 0.001 (0.004)	Loss 1.8753 (1.8237)	Prec@1 51.562 (52.199)	Prec@5 75.781 (81.747)
Epoch: [72][1660/14090]	Time 0.754 (0.771)	Data 0.001 (0.004)	Loss 1.9877 (1.8234)	Prec@1 48.438 (52.198)	Prec@5 80.469 (81.753)
Epoch: [72][1670/14090]	Time 0.741 (0.771)	Data 0.001 (0.004)	Loss 1.7745 (1.8233)	Prec@1 54.688 (52.201)	Prec@5 83.594 (81.750)
Epoch: [72][1680/14090]	Time 0.747 (0.771)	Data 0.001 (0.004)	Loss 1.4659 (1.8226)	Prec@1 57.812 (52.227)	Prec@5 86.719 (81.760)
Epoch: [72][1690/14090]	Time 0.727 (0.771)	Data 0.001 (0.004)	Loss 2.0982 (1.8231)	Prec@1 49.219 (52.228)	Prec@5 83.594 (81.754)
Epoch: [72][1700/14090]	Time 0.861 (0.771)	Data 0.001 (0.004)	Loss 1.8150 (1.8235)	Prec@1 54.688 (52.211)	Prec@5 81.250 (81.746)
Epoch: [72][1710/14090]	Time 0.759 (0.771)	Data 0.001 (0.004)	Loss 1.7665 (1.8236)	Prec@1 51.562 (52.213)	Prec@5 82.812 (81.745)
Epoch: [72][1720/14090]	Time 0.762 (0.771)	Data 0.001 (0.004)	Loss 2.0551 (1.8237)	Prec@1 46.094 (52.213)	Prec@5 79.688 (81.743)
Epoch: [72][1730/14090]	Time 0.754 (0.771)	Data 0.001 (0.004)	Loss 1.8604 (1.8237)	Prec@1 51.562 (52.208)	Prec@5 82.812 (81.748)
Epoch: [72][1740/14090]	Time 0.754 (0.771)	Data 0.001 (0.004)	Loss 1.8866 (1.8235)	Prec@1 57.812 (52.212)	Prec@5 78.906 (81.749)
Epoch: [72][1750/14090]	Time 0.757 (0.771)	Data 0.001 (0.004)	Loss 2.1845 (1.8238)	Prec@1 48.438 (52.204)	Prec@5 73.438 (81.733)
Epoch: [72][1760/14090]	Time 0.738 (0.771)	Data 0.001 (0.004)	Loss 1.7613 (1.8237)	Prec@1 54.688 (52.205)	Prec@5 81.250 (81.746)
Epoch: [72][1770/14090]	Time 0.880 (0.771)	Data 0.001 (0.004)	Loss 1.7150 (1.8238)	Prec@1 55.469 (52.192)	Prec@5 82.812 (81.745)
Epoch: [72][1780/14090]	Time 0.736 (0.771)	Data 0.001 (0.004)	Loss 1.8048 (1.8239)	Prec@1 53.906 (52.196)	Prec@5 86.719 (81.748)
Epoch: [72][1790/14090]	Time 0.735 (0.771)	Data 0.001 (0.004)	Loss 1.8617 (1.8238)	Prec@1 48.438 (52.195)	Prec@5 77.344 (81.745)
Epoch: [72][1800/14090]	Time 0.766 (0.771)	Data 0.001 (0.004)	Loss 1.9934 (1.8239)	Prec@1 50.000 (52.193)	Prec@5 78.906 (81.746)
Epoch: [72][1810/14090]	Time 0.771 (0.771)	Data 0.001 (0.004)	Loss 1.8673 (1.8241)	Prec@1 53.125 (52.196)	Prec@5 79.688 (81.742)
Epoch: [72][1820/14090]	Time 0.742 (0.771)	Data 0.001 (0.004)	Loss 1.6805 (1.8239)	Prec@1 55.469 (52.195)	Prec@5 83.594 (81.746)
Epoch: [72][1830/14090]	Time 0.761 (0.771)	Data 0.001 (0.004)	Loss 2.0311 (1.8245)	Prec@1 48.438 (52.188)	Prec@5 78.906 (81.739)
Epoch: [72][1840/14090]	Time 0.886 (0.771)	Data 0.001 (0.004)	Loss 1.6258 (1.8241)	Prec@1 56.250 (52.201)	Prec@5 85.938 (81.747)
Epoch: [72][1850/14090]	Time 0.751 (0.771)	Data 0.001 (0.004)	Loss 1.8271 (1.8245)	Prec@1 47.656 (52.185)	Prec@5 82.812 (81.738)
Epoch: [72][1860/14090]	Time 0.738 (0.771)	Data 0.001 (0.004)	Loss 1.8024 (1.8249)	Prec@1 55.469 (52.178)	Prec@5 79.688 (81.725)
Epoch: [72][1870/14090]	Time 0.737 (0.770)	Data 0.001 (0.004)	Loss 1.8077 (1.8247)	Prec@1 53.125 (52.182)	Prec@5 80.469 (81.728)
Epoch: [72][1880/14090]	Time 0.770 (0.770)	Data 0.001 (0.004)	Loss 1.7662 (1.8247)	Prec@1 52.344 (52.183)	Prec@5 82.812 (81.730)
Epoch: [72][1890/14090]	Time 0.766 (0.770)	Data 0.001 (0.004)	Loss 1.8387 (1.8248)	Prec@1 54.688 (52.183)	Prec@5 79.688 (81.728)
Epoch: [72][1900/14090]	Time 0.759 (0.770)	Data 0.001 (0.004)	Loss 1.5481 (1.8247)	Prec@1 57.031 (52.187)	Prec@5 85.938 (81.737)
Epoch: [72][1910/14090]	Time 0.824 (0.770)	Data 0.001 (0.003)	Loss 2.2229 (1.8251)	Prec@1 46.875 (52.178)	Prec@5 75.000 (81.733)
Epoch: [72][1920/14090]	Time 0.730 (0.770)	Data 0.001 (0.003)	Loss 2.0939 (1.8257)	Prec@1 42.188 (52.164)	Prec@5 73.438 (81.721)
Epoch: [72][1930/14090]	Time 0.747 (0.770)	Data 0.001 (0.003)	Loss 2.0157 (1.8259)	Prec@1 46.094 (52.162)	Prec@5 78.125 (81.715)
Epoch: [72][1940/14090]	Time 0.730 (0.770)	Data 0.001 (0.003)	Loss 1.9165 (1.8259)	Prec@1 47.656 (52.163)	Prec@5 78.906 (81.712)
Epoch: [72][1950/14090]	Time 0.736 (0.770)	Data 0.001 (0.003)	Loss 1.6290 (1.8255)	Prec@1 60.156 (52.175)	Prec@5 84.375 (81.706)
Epoch: [72][1960/14090]	Time 0.763 (0.770)	Data 0.001 (0.003)	Loss 2.0187 (1.8256)	Prec@1 46.875 (52.165)	Prec@5 78.125 (81.709)
Epoch: [72][1970/14090]	Time 0.737 (0.770)	Data 0.001 (0.003)	Loss 1.7658 (1.8259)	Prec@1 57.812 (52.157)	Prec@5 82.812 (81.707)
Epoch: [72][1980/14090]	Time 0.874 (0.770)	Data 0.001 (0.003)	Loss 1.7503 (1.8258)	Prec@1 53.906 (52.165)	Prec@5 84.375 (81.711)
Epoch: [72][1990/14090]	Time 0.734 (0.770)	Data 0.001 (0.003)	Loss 2.0138 (1.8259)	Prec@1 50.781 (52.163)	Prec@5 78.125 (81.705)
Epoch: [72][2000/14090]	Time 0.743 (0.770)	Data 0.001 (0.003)	Loss 1.8578 (1.8262)	Prec@1 51.562 (52.157)	Prec@5 77.344 (81.697)
Epoch: [72][2010/14090]	Time 0.750 (0.770)	Data 0.001 (0.003)	Loss 1.8086 (1.8262)	Prec@1 56.250 (52.153)	Prec@5 82.031 (81.697)
Epoch: [72][2020/14090]	Time 0.757 (0.770)	Data 0.001 (0.003)	Loss 1.8316 (1.8262)	Prec@1 54.688 (52.157)	Prec@5 80.469 (81.699)
Epoch: [72][2030/14090]	Time 0.748 (0.770)	Data 0.001 (0.003)	Loss 1.5742 (1.8261)	Prec@1 54.688 (52.156)	Prec@5 83.594 (81.701)
Epoch: [72][2040/14090]	Time 0.735 (0.770)	Data 0.001 (0.003)	Loss 1.7942 (1.8264)	Prec@1 48.438 (52.142)	Prec@5 85.156 (81.701)
Epoch: [72][2050/14090]	Time 0.837 (0.770)	Data 0.001 (0.003)	Loss 1.9444 (1.8269)	Prec@1 49.219 (52.132)	Prec@5 81.250 (81.696)
Epoch: [72][2060/14090]	Time 0.756 (0.770)	Data 0.001 (0.003)	Loss 1.7224 (1.8268)	Prec@1 50.781 (52.136)	Prec@5 84.375 (81.698)
Epoch: [72][2070/14090]	Time 0.767 (0.770)	Data 0.001 (0.003)	Loss 1.8623 (1.8270)	Prec@1 50.781 (52.133)	Prec@5 80.469 (81.697)
Epoch: [72][2080/14090]	Time 0.745 (0.770)	Data 0.001 (0.003)	Loss 1.9472 (1.8269)	Prec@1 48.438 (52.141)	Prec@5 78.125 (81.694)
Epoch: [72][2090/14090]	Time 0.745 (0.770)	Data 0.001 (0.003)	Loss 1.8153 (1.8268)	Prec@1 52.344 (52.137)	Prec@5 82.031 (81.695)
Epoch: [72][2100/14090]	Time 0.734 (0.770)	Data 0.001 (0.003)	Loss 1.7483 (1.8267)	Prec@1 55.469 (52.134)	Prec@5 82.031 (81.695)
Epoch: [72][2110/14090]	Time 0.750 (0.770)	Data 0.001 (0.003)	Loss 1.8027 (1.8268)	Prec@1 48.438 (52.128)	Prec@5 82.031 (81.700)
Epoch: [72][2120/14090]	Time 0.913 (0.770)	Data 0.001 (0.003)	Loss 1.7988 (1.8267)	Prec@1 50.000 (52.129)	Prec@5 85.938 (81.702)
Epoch: [72][2130/14090]	Time 0.740 (0.770)	Data 0.001 (0.003)	Loss 1.6598 (1.8265)	Prec@1 58.594 (52.138)	Prec@5 83.594 (81.704)
Epoch: [72][2140/14090]	Time 0.759 (0.770)	Data 0.001 (0.003)	Loss 1.7434 (1.8269)	Prec@1 54.688 (52.137)	Prec@5 84.375 (81.692)
Epoch: [72][2150/14090]	Time 0.751 (0.770)	Data 0.001 (0.003)	Loss 1.8531 (1.8271)	Prec@1 50.000 (52.136)	Prec@5 82.031 (81.687)
Epoch: [72][2160/14090]	Time 0.736 (0.770)	Data 0.001 (0.003)	Loss 1.9377 (1.8271)	Prec@1 43.750 (52.129)	Prec@5 78.125 (81.686)
Epoch: [72][2170/14090]	Time 0.754 (0.770)	Data 0.001 (0.003)	Loss 2.0290 (1.8270)	Prec@1 53.906 (52.131)	Prec@5 75.781 (81.692)
Epoch: [72][2180/14090]	Time 0.731 (0.770)	Data 0.001 (0.003)	Loss 2.1393 (1.8272)	Prec@1 49.219 (52.119)	Prec@5 75.781 (81.681)
Epoch: [72][2190/14090]	Time 0.909 (0.770)	Data 0.001 (0.003)	Loss 2.0898 (1.8271)	Prec@1 46.094 (52.127)	Prec@5 74.219 (81.686)
Epoch: [72][2200/14090]	Time 0.756 (0.770)	Data 0.001 (0.003)	Loss 1.7810 (1.8267)	Prec@1 58.594 (52.138)	Prec@5 80.469 (81.693)
Epoch: [72][2210/14090]	Time 0.741 (0.770)	Data 0.001 (0.003)	Loss 1.8689 (1.8269)	Prec@1 51.562 (52.139)	Prec@5 80.469 (81.692)
Epoch: [72][2220/14090]	Time 0.751 (0.770)	Data 0.001 (0.003)	Loss 1.8643 (1.8268)	Prec@1 50.781 (52.140)	Prec@5 82.031 (81.691)
Epoch: [72][2230/14090]	Time 0.735 (0.770)	Data 0.001 (0.003)	Loss 1.9774 (1.8267)	Prec@1 53.906 (52.146)	Prec@5 75.000 (81.685)
Epoch: [72][2240/14090]	Time 0.729 (0.770)	Data 0.001 (0.003)	Loss 1.9120 (1.8266)	Prec@1 51.562 (52.153)	Prec@5 78.125 (81.686)
Epoch: [72][2250/14090]	Time 0.759 (0.770)	Data 0.001 (0.003)	Loss 1.7543 (1.8267)	Prec@1 53.906 (52.149)	Prec@5 82.031 (81.685)
Epoch: [72][2260/14090]	Time 0.863 (0.770)	Data 0.001 (0.003)	Loss 1.8785 (1.8267)	Prec@1 47.656 (52.150)	Prec@5 83.594 (81.685)
Epoch: [72][2270/14090]	Time 0.755 (0.770)	Data 0.001 (0.003)	Loss 2.0314 (1.8269)	Prec@1 46.875 (52.143)	Prec@5 79.688 (81.682)
Epoch: [72][2280/14090]	Time 0.760 (0.770)	Data 0.001 (0.003)	Loss 1.8805 (1.8271)	Prec@1 50.000 (52.137)	Prec@5 82.031 (81.678)
Epoch: [72][2290/14090]	Time 0.725 (0.770)	Data 0.001 (0.003)	Loss 1.6187 (1.8269)	Prec@1 52.344 (52.142)	Prec@5 87.500 (81.683)
Epoch: [72][2300/14090]	Time 0.778 (0.769)	Data 0.001 (0.003)	Loss 1.7925 (1.8269)	Prec@1 53.906 (52.145)	Prec@5 83.594 (81.682)
Epoch: [72][2310/14090]	Time 0.771 (0.769)	Data 0.001 (0.003)	Loss 1.8414 (1.8271)	Prec@1 53.125 (52.142)	Prec@5 82.812 (81.676)
Epoch: [72][2320/14090]	Time 0.726 (0.769)	Data 0.001 (0.003)	Loss 1.7495 (1.8274)	Prec@1 55.469 (52.132)	Prec@5 83.594 (81.671)
Epoch: [72][2330/14090]	Time 0.873 (0.769)	Data 0.001 (0.003)	Loss 1.9788 (1.8277)	Prec@1 49.219 (52.123)	Prec@5 82.031 (81.668)
Epoch: [72][2340/14090]	Time 0.740 (0.769)	Data 0.001 (0.003)	Loss 1.7973 (1.8277)	Prec@1 53.125 (52.124)	Prec@5 78.906 (81.668)
Epoch: [72][2350/14090]	Time 0.741 (0.769)	Data 0.001 (0.003)	Loss 1.8401 (1.8274)	Prec@1 48.438 (52.133)	Prec@5 82.812 (81.675)
Epoch: [72][2360/14090]	Time 0.730 (0.769)	Data 0.001 (0.003)	Loss 1.5553 (1.8273)	Prec@1 56.250 (52.139)	Prec@5 81.250 (81.680)
Epoch: [72][2370/14090]	Time 0.740 (0.769)	Data 0.001 (0.003)	Loss 1.8721 (1.8273)	Prec@1 52.344 (52.138)	Prec@5 78.906 (81.679)
Epoch: [72][2380/14090]	Time 0.755 (0.769)	Data 0.001 (0.003)	Loss 1.9061 (1.8275)	Prec@1 50.000 (52.136)	Prec@5 80.469 (81.675)
Epoch: [72][2390/14090]	Time 0.744 (0.769)	Data 0.001 (0.003)	Loss 1.9018 (1.8272)	Prec@1 46.094 (52.139)	Prec@5 81.250 (81.679)
Epoch: [72][2400/14090]	Time 0.888 (0.769)	Data 0.001 (0.003)	Loss 1.3940 (1.8269)	Prec@1 58.594 (52.140)	Prec@5 87.500 (81.683)
Epoch: [72][2410/14090]	Time 0.740 (0.769)	Data 0.001 (0.003)	Loss 1.8040 (1.8271)	Prec@1 53.906 (52.138)	Prec@5 79.688 (81.679)
Epoch: [72][2420/14090]	Time 0.750 (0.769)	Data 0.001 (0.003)	Loss 1.7783 (1.8268)	Prec@1 57.031 (52.146)	Prec@5 79.688 (81.681)
Epoch: [72][2430/14090]	Time 0.751 (0.769)	Data 0.001 (0.003)	Loss 1.8157 (1.8266)	Prec@1 55.469 (52.144)	Prec@5 84.375 (81.687)
Epoch: [72][2440/14090]	Time 0.778 (0.769)	Data 0.001 (0.003)	Loss 1.8455 (1.8265)	Prec@1 46.094 (52.147)	Prec@5 82.031 (81.691)
Epoch: [72][2450/14090]	Time 0.760 (0.769)	Data 0.001 (0.003)	Loss 1.9485 (1.8268)	Prec@1 51.562 (52.143)	Prec@5 82.031 (81.683)
Epoch: [72][2460/14090]	Time 0.757 (0.769)	Data 0.001 (0.003)	Loss 1.7124 (1.8269)	Prec@1 50.781 (52.142)	Prec@5 85.156 (81.680)
Epoch: [72][2470/14090]	Time 0.854 (0.769)	Data 0.001 (0.003)	Loss 1.8092 (1.8268)	Prec@1 50.781 (52.144)	Prec@5 82.031 (81.680)
Epoch: [72][2480/14090]	Time 0.754 (0.769)	Data 0.001 (0.003)	Loss 1.9896 (1.8271)	Prec@1 46.094 (52.141)	Prec@5 78.125 (81.677)
Epoch: [72][2490/14090]	Time 0.745 (0.769)	Data 0.001 (0.003)	Loss 1.6588 (1.8270)	Prec@1 54.688 (52.146)	Prec@5 86.719 (81.678)
Epoch: [72][2500/14090]	Time 0.769 (0.769)	Data 0.001 (0.003)	Loss 1.8683 (1.8272)	Prec@1 50.781 (52.145)	Prec@5 85.938 (81.670)
Epoch: [72][2510/14090]	Time 0.753 (0.769)	Data 0.001 (0.003)	Loss 1.8575 (1.8271)	Prec@1 51.562 (52.142)	Prec@5 78.906 (81.673)
Epoch: [72][2520/14090]	Time 0.766 (0.769)	Data 0.001 (0.003)	Loss 1.9758 (1.8275)	Prec@1 46.094 (52.134)	Prec@5 80.469 (81.666)
Epoch: [72][2530/14090]	Time 0.749 (0.769)	Data 0.001 (0.003)	Loss 1.8737 (1.8273)	Prec@1 46.875 (52.142)	Prec@5 79.688 (81.668)
Epoch: [72][2540/14090]	Time 0.882 (0.769)	Data 0.001 (0.003)	Loss 1.6626 (1.8269)	Prec@1 50.000 (52.145)	Prec@5 86.719 (81.677)
Epoch: [72][2550/14090]	Time 0.723 (0.769)	Data 0.001 (0.003)	Loss 1.9791 (1.8269)	Prec@1 52.344 (52.137)	Prec@5 79.688 (81.680)
Epoch: [72][2560/14090]	Time 0.730 (0.769)	Data 0.001 (0.003)	Loss 2.0314 (1.8267)	Prec@1 52.344 (52.147)	Prec@5 79.688 (81.685)
Epoch: [72][2570/14090]	Time 0.734 (0.769)	Data 0.001 (0.003)	Loss 2.0227 (1.8268)	Prec@1 45.312 (52.144)	Prec@5 77.344 (81.687)
Epoch: [72][2580/14090]	Time 0.735 (0.769)	Data 0.001 (0.003)	Loss 1.7258 (1.8269)	Prec@1 56.250 (52.142)	Prec@5 84.375 (81.684)
Epoch: [72][2590/14090]	Time 0.757 (0.769)	Data 0.001 (0.003)	Loss 1.9779 (1.8272)	Prec@1 49.219 (52.137)	Prec@5 80.469 (81.681)
Epoch: [72][2600/14090]	Time 0.755 (0.769)	Data 0.001 (0.003)	Loss 1.8507 (1.8273)	Prec@1 53.906 (52.133)	Prec@5 81.250 (81.679)
Epoch: [72][2610/14090]	Time 0.859 (0.769)	Data 0.001 (0.003)	Loss 1.8029 (1.8276)	Prec@1 54.688 (52.124)	Prec@5 82.812 (81.670)
Epoch: [72][2620/14090]	Time 0.744 (0.769)	Data 0.001 (0.003)	Loss 1.8590 (1.8276)	Prec@1 49.219 (52.128)	Prec@5 80.469 (81.667)
Epoch: [72][2630/14090]	Time 0.767 (0.769)	Data 0.001 (0.003)	Loss 1.7395 (1.8275)	Prec@1 50.781 (52.131)	Prec@5 86.719 (81.667)
Epoch: [72][2640/14090]	Time 0.749 (0.769)	Data 0.001 (0.003)	Loss 1.8281 (1.8275)	Prec@1 57.812 (52.136)	Prec@5 80.469 (81.664)
Epoch: [72][2650/14090]	Time 0.752 (0.769)	Data 0.001 (0.003)	Loss 1.8049 (1.8273)	Prec@1 53.906 (52.140)	Prec@5 78.906 (81.670)
Epoch: [72][2660/14090]	Time 0.728 (0.769)	Data 0.001 (0.003)	Loss 1.7675 (1.8271)	Prec@1 55.469 (52.144)	Prec@5 83.594 (81.675)
Epoch: [72][2670/14090]	Time 0.763 (0.769)	Data 0.001 (0.003)	Loss 1.5775 (1.8273)	Prec@1 56.250 (52.136)	Prec@5 88.281 (81.675)
Epoch: [72][2680/14090]	Time 0.869 (0.769)	Data 0.001 (0.003)	Loss 2.1742 (1.8275)	Prec@1 47.656 (52.132)	Prec@5 78.125 (81.675)
Epoch: [72][2690/14090]	Time 0.756 (0.769)	Data 0.001 (0.003)	Loss 2.0374 (1.8274)	Prec@1 48.438 (52.133)	Prec@5 73.438 (81.677)
Epoch: [72][2700/14090]	Time 0.748 (0.769)	Data 0.001 (0.003)	Loss 1.8525 (1.8274)	Prec@1 53.125 (52.135)	Prec@5 79.688 (81.673)
Epoch: [72][2710/14090]	Time 0.738 (0.769)	Data 0.001 (0.003)	Loss 1.8345 (1.8275)	Prec@1 46.875 (52.136)	Prec@5 82.812 (81.672)
Epoch: [72][2720/14090]	Time 0.745 (0.769)	Data 0.001 (0.003)	Loss 1.6351 (1.8274)	Prec@1 56.250 (52.132)	Prec@5 88.281 (81.676)
Epoch: [72][2730/14090]	Time 0.764 (0.769)	Data 0.001 (0.003)	Loss 1.6566 (1.8275)	Prec@1 57.031 (52.135)	Prec@5 82.812 (81.673)
Epoch: [72][2740/14090]	Time 0.742 (0.769)	Data 0.001 (0.003)	Loss 1.7133 (1.8275)	Prec@1 56.250 (52.136)	Prec@5 83.594 (81.674)
Epoch: [72][2750/14090]	Time 0.881 (0.769)	Data 0.001 (0.003)	Loss 1.7333 (1.8274)	Prec@1 52.344 (52.138)	Prec@5 85.156 (81.680)
Epoch: [72][2760/14090]	Time 0.751 (0.769)	Data 0.001 (0.003)	Loss 1.6503 (1.8270)	Prec@1 53.906 (52.149)	Prec@5 89.844 (81.687)
Epoch: [72][2770/14090]	Time 0.772 (0.769)	Data 0.001 (0.003)	Loss 1.9170 (1.8270)	Prec@1 54.688 (52.154)	Prec@5 81.250 (81.687)
Epoch: [72][2780/14090]	Time 0.731 (0.769)	Data 0.001 (0.003)	Loss 1.7827 (1.8272)	Prec@1 52.344 (52.150)	Prec@5 82.031 (81.681)
Epoch: [72][2790/14090]	Time 0.739 (0.769)	Data 0.001 (0.003)	Loss 2.0002 (1.8271)	Prec@1 46.094 (52.152)	Prec@5 79.688 (81.680)
Epoch: [72][2800/14090]	Time 0.749 (0.769)	Data 0.001 (0.003)	Loss 1.9117 (1.8272)	Prec@1 50.000 (52.153)	Prec@5 78.906 (81.676)
Epoch: [72][2810/14090]	Time 0.756 (0.769)	Data 0.001 (0.003)	Loss 2.0649 (1.8275)	Prec@1 49.219 (52.148)	Prec@5 75.781 (81.669)
Epoch: [72][2820/14090]	Time 0.828 (0.769)	Data 0.001 (0.003)	Loss 1.7912 (1.8275)	Prec@1 57.031 (52.148)	Prec@5 77.344 (81.668)
Epoch: [72][2830/14090]	Time 0.734 (0.769)	Data 0.001 (0.003)	Loss 1.7846 (1.8273)	Prec@1 56.250 (52.153)	Prec@5 83.594 (81.675)
Epoch: [72][2840/14090]	Time 0.734 (0.769)	Data 0.001 (0.003)	Loss 1.5811 (1.8272)	Prec@1 60.938 (52.157)	Prec@5 89.844 (81.679)
Epoch: [72][2850/14090]	Time 0.742 (0.769)	Data 0.001 (0.003)	Loss 1.6746 (1.8272)	Prec@1 54.688 (52.159)	Prec@5 83.594 (81.677)
Epoch: [72][2860/14090]	Time 0.791 (0.769)	Data 0.001 (0.003)	Loss 1.7629 (1.8271)	Prec@1 57.812 (52.168)	Prec@5 85.156 (81.678)
Epoch: [72][2870/14090]	Time 0.723 (0.769)	Data 0.001 (0.003)	Loss 2.0498 (1.8270)	Prec@1 45.312 (52.173)	Prec@5 79.688 (81.679)
Epoch: [72][2880/14090]	Time 0.735 (0.769)	Data 0.001 (0.003)	Loss 1.7267 (1.8270)	Prec@1 53.125 (52.173)	Prec@5 82.031 (81.678)
Epoch: [72][2890/14090]	Time 0.887 (0.769)	Data 0.001 (0.003)	Loss 1.9321 (1.8273)	Prec@1 46.875 (52.169)	Prec@5 84.375 (81.672)
Epoch: [72][2900/14090]	Time 0.723 (0.769)	Data 0.001 (0.003)	Loss 1.8329 (1.8274)	Prec@1 57.812 (52.164)	Prec@5 79.688 (81.666)
Epoch: [72][2910/14090]	Time 0.727 (0.769)	Data 0.001 (0.003)	Loss 1.6054 (1.8274)	Prec@1 57.031 (52.163)	Prec@5 85.156 (81.666)
Epoch: [72][2920/14090]	Time 0.774 (0.769)	Data 0.001 (0.003)	Loss 1.6754 (1.8273)	Prec@1 56.250 (52.165)	Prec@5 85.938 (81.667)
Epoch: [72][2930/14090]	Time 0.747 (0.769)	Data 0.001 (0.003)	Loss 1.8169 (1.8273)	Prec@1 52.344 (52.166)	Prec@5 81.250 (81.669)
Epoch: [72][2940/14090]	Time 0.728 (0.769)	Data 0.001 (0.003)	Loss 1.9803 (1.8271)	Prec@1 50.781 (52.166)	Prec@5 76.562 (81.670)
Epoch: [72][2950/14090]	Time 0.740 (0.768)	Data 0.001 (0.003)	Loss 1.8630 (1.8274)	Prec@1 51.562 (52.163)	Prec@5 84.375 (81.667)
Epoch: [72][2960/14090]	Time 0.829 (0.768)	Data 0.001 (0.003)	Loss 1.5829 (1.8272)	Prec@1 59.375 (52.169)	Prec@5 80.469 (81.668)
Epoch: [72][2970/14090]	Time 0.778 (0.768)	Data 0.001 (0.003)	Loss 1.7046 (1.8273)	Prec@1 53.125 (52.164)	Prec@5 85.156 (81.673)
Epoch: [72][2980/14090]	Time 0.722 (0.768)	Data 0.001 (0.003)	Loss 2.1815 (1.8274)	Prec@1 41.406 (52.156)	Prec@5 80.469 (81.671)
Epoch: [72][2990/14090]	Time 0.751 (0.768)	Data 0.001 (0.003)	Loss 1.6777 (1.8273)	Prec@1 48.438 (52.152)	Prec@5 83.594 (81.670)
Epoch: [72][3000/14090]	Time 0.761 (0.768)	Data 0.001 (0.003)	Loss 1.7882 (1.8273)	Prec@1 53.125 (52.150)	Prec@5 80.469 (81.673)
Epoch: [72][3010/14090]	Time 0.751 (0.768)	Data 0.001 (0.003)	Loss 2.0732 (1.8275)	Prec@1 46.875 (52.144)	Prec@5 78.906 (81.672)
Epoch: [72][3020/14090]	Time 0.732 (0.768)	Data 0.001 (0.002)	Loss 1.9840 (1.8274)	Prec@1 44.531 (52.146)	Prec@5 81.250 (81.675)
Epoch: [72][3030/14090]	Time 0.843 (0.768)	Data 0.001 (0.002)	Loss 1.7407 (1.8273)	Prec@1 47.656 (52.138)	Prec@5 85.156 (81.676)
Epoch: [72][3040/14090]	Time 0.776 (0.768)	Data 0.001 (0.002)	Loss 1.9828 (1.8275)	Prec@1 52.344 (52.131)	Prec@5 78.906 (81.675)
Epoch: [72][3050/14090]	Time 0.736 (0.768)	Data 0.001 (0.002)	Loss 1.7973 (1.8276)	Prec@1 56.250 (52.128)	Prec@5 82.812 (81.673)
Epoch: [72][3060/14090]	Time 0.743 (0.768)	Data 0.001 (0.002)	Loss 1.9322 (1.8279)	Prec@1 49.219 (52.118)	Prec@5 79.688 (81.669)
Epoch: [72][3070/14090]	Time 0.745 (0.768)	Data 0.001 (0.002)	Loss 1.8681 (1.8281)	Prec@1 46.094 (52.115)	Prec@5 84.375 (81.669)
Epoch: [72][3080/14090]	Time 0.731 (0.768)	Data 0.001 (0.002)	Loss 1.7916 (1.8281)	Prec@1 53.906 (52.108)	Prec@5 81.250 (81.668)
Epoch: [72][3090/14090]	Time 0.758 (0.768)	Data 0.001 (0.002)	Loss 1.7972 (1.8284)	Prec@1 53.125 (52.110)	Prec@5 84.375 (81.666)
Epoch: [72][3100/14090]	Time 0.843 (0.768)	Data 0.001 (0.002)	Loss 1.9134 (1.8283)	Prec@1 46.094 (52.109)	Prec@5 77.344 (81.668)
Epoch: [72][3110/14090]	Time 0.750 (0.768)	Data 0.001 (0.002)	Loss 1.8861 (1.8284)	Prec@1 53.906 (52.109)	Prec@5 79.688 (81.667)
Epoch: [72][3120/14090]	Time 0.748 (0.768)	Data 0.001 (0.002)	Loss 1.7840 (1.8286)	Prec@1 57.031 (52.107)	Prec@5 85.938 (81.672)
Epoch: [72][3130/14090]	Time 0.768 (0.768)	Data 0.001 (0.002)	Loss 1.9241 (1.8285)	Prec@1 53.125 (52.110)	Prec@5 80.469 (81.673)
Epoch: [72][3140/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 1.6315 (1.8285)	Prec@1 54.688 (52.106)	Prec@5 83.594 (81.672)
Epoch: [72][3150/14090]	Time 0.749 (0.768)	Data 0.001 (0.002)	Loss 1.8733 (1.8287)	Prec@1 53.906 (52.099)	Prec@5 79.688 (81.665)
Epoch: [72][3160/14090]	Time 0.746 (0.768)	Data 0.001 (0.002)	Loss 1.4759 (1.8286)	Prec@1 53.906 (52.100)	Prec@5 87.500 (81.667)
Epoch: [72][3170/14090]	Time 0.881 (0.768)	Data 0.001 (0.002)	Loss 1.5695 (1.8285)	Prec@1 60.156 (52.103)	Prec@5 88.281 (81.671)
Epoch: [72][3180/14090]	Time 0.741 (0.768)	Data 0.001 (0.002)	Loss 1.8616 (1.8288)	Prec@1 57.812 (52.097)	Prec@5 80.469 (81.666)
Epoch: [72][3190/14090]	Time 0.725 (0.768)	Data 0.001 (0.002)	Loss 2.0118 (1.8290)	Prec@1 43.750 (52.091)	Prec@5 77.344 (81.662)
Epoch: [72][3200/14090]	Time 0.759 (0.768)	Data 0.001 (0.002)	Loss 1.9681 (1.8290)	Prec@1 54.688 (52.087)	Prec@5 77.344 (81.661)
Epoch: [72][3210/14090]	Time 0.735 (0.768)	Data 0.001 (0.002)	Loss 1.8612 (1.8290)	Prec@1 52.344 (52.086)	Prec@5 82.812 (81.660)
Epoch: [72][3220/14090]	Time 0.749 (0.768)	Data 0.001 (0.002)	Loss 1.9760 (1.8292)	Prec@1 54.688 (52.080)	Prec@5 78.125 (81.656)
Epoch: [72][3230/14090]	Time 0.782 (0.768)	Data 0.001 (0.002)	Loss 2.0743 (1.8295)	Prec@1 48.438 (52.075)	Prec@5 76.562 (81.653)
Epoch: [72][3240/14090]	Time 0.915 (0.768)	Data 0.001 (0.002)	Loss 1.7619 (1.8295)	Prec@1 57.812 (52.077)	Prec@5 82.812 (81.649)
Epoch: [72][3250/14090]	Time 0.753 (0.768)	Data 0.001 (0.002)	Loss 1.4694 (1.8292)	Prec@1 65.625 (52.084)	Prec@5 85.938 (81.656)
Epoch: [72][3260/14090]	Time 0.743 (0.768)	Data 0.001 (0.002)	Loss 2.0960 (1.8293)	Prec@1 42.969 (52.081)	Prec@5 76.562 (81.656)
Epoch: [72][3270/14090]	Time 0.727 (0.768)	Data 0.001 (0.002)	Loss 1.7094 (1.8293)	Prec@1 55.469 (52.076)	Prec@5 85.156 (81.654)
Epoch: [72][3280/14090]	Time 0.728 (0.768)	Data 0.001 (0.002)	Loss 1.6770 (1.8292)	Prec@1 59.375 (52.077)	Prec@5 85.156 (81.653)
Epoch: [72][3290/14090]	Time 0.731 (0.768)	Data 0.001 (0.002)	Loss 1.7621 (1.8292)	Prec@1 53.125 (52.077)	Prec@5 82.812 (81.653)
Epoch: [72][3300/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 2.0029 (1.8292)	Prec@1 52.344 (52.078)	Prec@5 79.688 (81.652)
Epoch: [72][3310/14090]	Time 0.864 (0.768)	Data 0.001 (0.002)	Loss 1.8261 (1.8290)	Prec@1 53.125 (52.079)	Prec@5 81.250 (81.653)
Epoch: [72][3320/14090]	Time 0.757 (0.768)	Data 0.001 (0.002)	Loss 1.7493 (1.8291)	Prec@1 51.562 (52.081)	Prec@5 82.031 (81.649)
Epoch: [72][3330/14090]	Time 0.749 (0.768)	Data 0.001 (0.002)	Loss 1.9080 (1.8289)	Prec@1 50.000 (52.085)	Prec@5 80.469 (81.654)
Epoch: [72][3340/14090]	Time 0.749 (0.768)	Data 0.001 (0.002)	Loss 1.6960 (1.8290)	Prec@1 57.031 (52.087)	Prec@5 85.156 (81.656)
Epoch: [72][3350/14090]	Time 0.734 (0.768)	Data 0.001 (0.002)	Loss 2.0877 (1.8291)	Prec@1 43.750 (52.087)	Prec@5 77.344 (81.652)
Epoch: [72][3360/14090]	Time 0.734 (0.768)	Data 0.001 (0.002)	Loss 1.9358 (1.8291)	Prec@1 50.000 (52.092)	Prec@5 79.688 (81.651)
Epoch: [72][3370/14090]	Time 0.767 (0.768)	Data 0.001 (0.002)	Loss 1.7733 (1.8290)	Prec@1 54.688 (52.094)	Prec@5 81.250 (81.650)
Epoch: [72][3380/14090]	Time 0.822 (0.768)	Data 0.001 (0.002)	Loss 1.8923 (1.8291)	Prec@1 48.438 (52.091)	Prec@5 76.562 (81.645)
Epoch: [72][3390/14090]	Time 0.743 (0.768)	Data 0.001 (0.002)	Loss 1.6656 (1.8288)	Prec@1 54.688 (52.094)	Prec@5 85.156 (81.650)
Epoch: [72][3400/14090]	Time 0.766 (0.768)	Data 0.001 (0.002)	Loss 1.7422 (1.8287)	Prec@1 55.469 (52.097)	Prec@5 85.938 (81.652)
Epoch: [72][3410/14090]	Time 0.760 (0.768)	Data 0.001 (0.002)	Loss 1.8223 (1.8287)	Prec@1 60.156 (52.103)	Prec@5 81.250 (81.655)
Epoch: [72][3420/14090]	Time 0.726 (0.768)	Data 0.001 (0.002)	Loss 1.7846 (1.8287)	Prec@1 53.906 (52.102)	Prec@5 81.250 (81.652)
Epoch: [72][3430/14090]	Time 0.766 (0.768)	Data 0.001 (0.002)	Loss 1.9514 (1.8284)	Prec@1 54.688 (52.108)	Prec@5 74.219 (81.657)
Epoch: [72][3440/14090]	Time 0.786 (0.768)	Data 0.001 (0.002)	Loss 1.8636 (1.8282)	Prec@1 52.344 (52.107)	Prec@5 80.469 (81.658)
Epoch: [72][3450/14090]	Time 0.868 (0.768)	Data 0.001 (0.002)	Loss 1.7947 (1.8284)	Prec@1 54.688 (52.100)	Prec@5 82.031 (81.656)
Epoch: [72][3460/14090]	Time 0.762 (0.768)	Data 0.001 (0.002)	Loss 1.9083 (1.8284)	Prec@1 57.031 (52.102)	Prec@5 82.812 (81.655)
Epoch: [72][3470/14090]	Time 0.731 (0.768)	Data 0.001 (0.002)	Loss 1.8864 (1.8285)	Prec@1 52.344 (52.100)	Prec@5 80.469 (81.652)
Epoch: [72][3480/14090]	Time 0.753 (0.768)	Data 0.001 (0.002)	Loss 1.6992 (1.8286)	Prec@1 55.469 (52.104)	Prec@5 82.812 (81.651)
Epoch: [72][3490/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 1.7800 (1.8287)	Prec@1 49.219 (52.100)	Prec@5 84.375 (81.651)
Epoch: [72][3500/14090]	Time 0.753 (0.768)	Data 0.001 (0.002)	Loss 1.9705 (1.8287)	Prec@1 52.344 (52.104)	Prec@5 82.812 (81.649)
Epoch: [72][3510/14090]	Time 0.761 (0.768)	Data 0.001 (0.002)	Loss 1.8603 (1.8286)	Prec@1 54.688 (52.106)	Prec@5 85.938 (81.653)
Epoch: [72][3520/14090]	Time 0.875 (0.768)	Data 0.001 (0.002)	Loss 1.9452 (1.8285)	Prec@1 50.781 (52.111)	Prec@5 81.250 (81.656)
Epoch: [72][3530/14090]	Time 0.749 (0.768)	Data 0.001 (0.002)	Loss 1.7287 (1.8284)	Prec@1 53.906 (52.111)	Prec@5 85.156 (81.657)
Epoch: [72][3540/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 1.8220 (1.8284)	Prec@1 57.031 (52.116)	Prec@5 78.125 (81.657)
Epoch: [72][3550/14090]	Time 0.749 (0.768)	Data 0.001 (0.002)	Loss 1.7394 (1.8282)	Prec@1 51.562 (52.122)	Prec@5 84.375 (81.663)
Epoch: [72][3560/14090]	Time 0.736 (0.768)	Data 0.001 (0.002)	Loss 1.9428 (1.8281)	Prec@1 50.781 (52.120)	Prec@5 80.469 (81.666)
Epoch: [72][3570/14090]	Time 0.722 (0.768)	Data 0.001 (0.002)	Loss 1.8917 (1.8280)	Prec@1 51.562 (52.123)	Prec@5 78.906 (81.668)
Epoch: [72][3580/14090]	Time 0.766 (0.768)	Data 0.001 (0.002)	Loss 1.7905 (1.8281)	Prec@1 51.562 (52.119)	Prec@5 79.688 (81.664)
Epoch: [72][3590/14090]	Time 0.842 (0.768)	Data 0.001 (0.002)	Loss 1.9625 (1.8283)	Prec@1 47.656 (52.112)	Prec@5 80.469 (81.660)
Epoch: [72][3600/14090]	Time 0.738 (0.768)	Data 0.001 (0.002)	Loss 2.1989 (1.8287)	Prec@1 42.188 (52.101)	Prec@5 77.344 (81.652)
Epoch: [72][3610/14090]	Time 0.736 (0.768)	Data 0.001 (0.002)	Loss 1.9281 (1.8287)	Prec@1 50.000 (52.102)	Prec@5 76.562 (81.647)
Epoch: [72][3620/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 1.8436 (1.8285)	Prec@1 55.469 (52.109)	Prec@5 80.469 (81.647)
Epoch: [72][3630/14090]	Time 0.757 (0.768)	Data 0.001 (0.002)	Loss 1.8430 (1.8285)	Prec@1 48.438 (52.112)	Prec@5 81.250 (81.647)
Epoch: [72][3640/14090]	Time 0.747 (0.768)	Data 0.001 (0.002)	Loss 1.6280 (1.8285)	Prec@1 55.469 (52.111)	Prec@5 87.500 (81.650)
Epoch: [72][3650/14090]	Time 0.750 (0.768)	Data 0.001 (0.002)	Loss 1.9771 (1.8284)	Prec@1 50.000 (52.113)	Prec@5 78.125 (81.651)
Epoch: [72][3660/14090]	Time 0.858 (0.768)	Data 0.001 (0.002)	Loss 1.7545 (1.8284)	Prec@1 55.469 (52.114)	Prec@5 85.156 (81.656)
Epoch: [72][3670/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 1.8992 (1.8282)	Prec@1 50.781 (52.117)	Prec@5 78.906 (81.656)
Epoch: [72][3680/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 1.8203 (1.8284)	Prec@1 48.438 (52.113)	Prec@5 82.812 (81.650)
Epoch: [72][3690/14090]	Time 0.773 (0.767)	Data 0.001 (0.002)	Loss 1.9164 (1.8284)	Prec@1 51.562 (52.113)	Prec@5 82.031 (81.651)
Epoch: [72][3700/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 1.5171 (1.8282)	Prec@1 58.594 (52.118)	Prec@5 90.625 (81.653)
Epoch: [72][3710/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 1.7381 (1.8283)	Prec@1 60.156 (52.119)	Prec@5 84.375 (81.653)
Epoch: [72][3720/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.0985 (1.8284)	Prec@1 44.531 (52.118)	Prec@5 81.250 (81.652)
Epoch: [72][3730/14090]	Time 0.843 (0.767)	Data 0.001 (0.002)	Loss 2.0872 (1.8287)	Prec@1 50.781 (52.113)	Prec@5 79.688 (81.648)
Epoch: [72][3740/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 1.6402 (1.8286)	Prec@1 60.156 (52.117)	Prec@5 82.031 (81.651)
Epoch: [72][3750/14090]	Time 0.728 (0.767)	Data 0.001 (0.002)	Loss 1.7773 (1.8285)	Prec@1 57.812 (52.120)	Prec@5 82.812 (81.651)
Epoch: [72][3760/14090]	Time 0.722 (0.767)	Data 0.001 (0.002)	Loss 1.8796 (1.8282)	Prec@1 52.344 (52.125)	Prec@5 78.125 (81.656)
Epoch: [72][3770/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 1.7157 (1.8280)	Prec@1 55.469 (52.131)	Prec@5 87.500 (81.663)
Epoch: [72][3780/14090]	Time 0.726 (0.767)	Data 0.001 (0.002)	Loss 1.6099 (1.8280)	Prec@1 56.250 (52.135)	Prec@5 82.812 (81.664)
Epoch: [72][3790/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.1073 (1.8281)	Prec@1 48.438 (52.131)	Prec@5 75.781 (81.661)
Epoch: [72][3800/14090]	Time 0.846 (0.767)	Data 0.001 (0.002)	Loss 1.6168 (1.8281)	Prec@1 57.031 (52.134)	Prec@5 85.938 (81.660)
Epoch: [72][3810/14090]	Time 0.760 (0.767)	Data 0.001 (0.002)	Loss 1.8604 (1.8283)	Prec@1 40.625 (52.126)	Prec@5 82.812 (81.655)
Epoch: [72][3820/14090]	Time 0.764 (0.767)	Data 0.001 (0.002)	Loss 2.0079 (1.8283)	Prec@1 45.312 (52.125)	Prec@5 78.125 (81.655)
Epoch: [72][3830/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 1.7683 (1.8282)	Prec@1 56.250 (52.124)	Prec@5 82.031 (81.652)
Epoch: [72][3840/14090]	Time 0.761 (0.767)	Data 0.001 (0.002)	Loss 1.9395 (1.8284)	Prec@1 47.656 (52.115)	Prec@5 81.250 (81.649)
Epoch: [72][3850/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 1.7319 (1.8286)	Prec@1 55.469 (52.110)	Prec@5 78.906 (81.643)
Epoch: [72][3860/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 1.9006 (1.8287)	Prec@1 49.219 (52.108)	Prec@5 78.906 (81.641)
Epoch: [72][3870/14090]	Time 0.900 (0.767)	Data 0.001 (0.002)	Loss 1.8867 (1.8286)	Prec@1 58.594 (52.110)	Prec@5 80.469 (81.641)
Epoch: [72][3880/14090]	Time 0.728 (0.767)	Data 0.001 (0.002)	Loss 1.8199 (1.8287)	Prec@1 53.125 (52.104)	Prec@5 82.031 (81.641)
Epoch: [72][3890/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.1356 (1.8289)	Prec@1 47.656 (52.104)	Prec@5 75.781 (81.638)
Epoch: [72][3900/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 1.8347 (1.8288)	Prec@1 44.531 (52.105)	Prec@5 80.469 (81.639)
Epoch: [72][3910/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 1.8529 (1.8287)	Prec@1 53.125 (52.106)	Prec@5 83.594 (81.640)
Epoch: [72][3920/14090]	Time 0.757 (0.767)	Data 0.001 (0.002)	Loss 1.7582 (1.8289)	Prec@1 56.250 (52.105)	Prec@5 82.031 (81.634)
Epoch: [72][3930/14090]	Time 0.722 (0.767)	Data 0.001 (0.002)	Loss 1.8245 (1.8288)	Prec@1 51.562 (52.108)	Prec@5 80.469 (81.635)
Epoch: [72][3940/14090]	Time 0.858 (0.767)	Data 0.001 (0.002)	Loss 1.7675 (1.8286)	Prec@1 50.781 (52.111)	Prec@5 82.812 (81.639)
Epoch: [72][3950/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 1.6575 (1.8285)	Prec@1 57.812 (52.115)	Prec@5 83.594 (81.637)
Epoch: [72][3960/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 1.8640 (1.8285)	Prec@1 54.688 (52.118)	Prec@5 78.906 (81.636)
Epoch: [72][3970/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 1.6305 (1.8285)	Prec@1 56.250 (52.119)	Prec@5 85.156 (81.636)
Epoch: [72][3980/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 1.6927 (1.8285)	Prec@1 53.906 (52.116)	Prec@5 87.500 (81.637)
Epoch: [72][3990/14090]	Time 0.757 (0.767)	Data 0.001 (0.002)	Loss 1.8350 (1.8286)	Prec@1 47.656 (52.113)	Prec@5 81.250 (81.636)
Epoch: [72][4000/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 1.7327 (1.8286)	Prec@1 56.250 (52.109)	Prec@5 82.031 (81.638)
Epoch: [72][4010/14090]	Time 0.859 (0.767)	Data 0.001 (0.002)	Loss 1.8711 (1.8286)	Prec@1 53.125 (52.116)	Prec@5 80.469 (81.638)
Epoch: [72][4020/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 1.7997 (1.8287)	Prec@1 55.469 (52.115)	Prec@5 81.250 (81.634)
Epoch: [72][4030/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 1.5510 (1.8288)	Prec@1 59.375 (52.113)	Prec@5 84.375 (81.636)
Epoch: [72][4040/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 2.0294 (1.8289)	Prec@1 50.781 (52.115)	Prec@5 78.125 (81.632)
Epoch: [72][4050/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 1.5275 (1.8289)	Prec@1 57.812 (52.114)	Prec@5 86.719 (81.633)
Epoch: [72][4060/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 1.9187 (1.8290)	Prec@1 45.312 (52.112)	Prec@5 78.906 (81.631)
Epoch: [72][4070/14090]	Time 0.731 (0.767)	Data 0.001 (0.002)	Loss 2.0936 (1.8292)	Prec@1 46.875 (52.108)	Prec@5 81.250 (81.628)
Epoch: [72][4080/14090]	Time 0.853 (0.767)	Data 0.001 (0.002)	Loss 1.7981 (1.8290)	Prec@1 56.250 (52.114)	Prec@5 82.031 (81.634)
Epoch: [72][4090/14090]	Time 0.767 (0.767)	Data 0.001 (0.002)	Loss 1.5850 (1.8288)	Prec@1 60.938 (52.118)	Prec@5 85.156 (81.637)
Epoch: [72][4100/14090]	Time 0.763 (0.767)	Data 0.001 (0.002)	Loss 1.8181 (1.8288)	Prec@1 52.344 (52.126)	Prec@5 78.906 (81.637)
Epoch: [72][4110/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 1.8577 (1.8287)	Prec@1 53.906 (52.124)	Prec@5 82.031 (81.638)
Epoch: [72][4120/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.0196 (1.8288)	Prec@1 47.656 (52.120)	Prec@5 78.125 (81.638)
Epoch: [72][4130/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 1.8740 (1.8289)	Prec@1 51.562 (52.119)	Prec@5 82.031 (81.636)
Epoch: [72][4140/14090]	Time 0.728 (0.767)	Data 0.001 (0.002)	Loss 1.9040 (1.8291)	Prec@1 50.000 (52.114)	Prec@5 76.562 (81.631)
Epoch: [72][4150/14090]	Time 0.883 (0.767)	Data 0.001 (0.002)	Loss 1.7096 (1.8290)	Prec@1 54.688 (52.116)	Prec@5 82.812 (81.633)
Epoch: [72][4160/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 1.8120 (1.8289)	Prec@1 56.250 (52.119)	Prec@5 80.469 (81.635)
Epoch: [72][4170/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 1.4678 (1.8289)	Prec@1 60.938 (52.116)	Prec@5 84.375 (81.636)
Epoch: [72][4180/14090]	Time 0.765 (0.767)	Data 0.001 (0.002)	Loss 1.7139 (1.8290)	Prec@1 50.781 (52.111)	Prec@5 82.812 (81.635)
Epoch: [72][4190/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 1.9661 (1.8291)	Prec@1 52.344 (52.108)	Prec@5 78.125 (81.632)
Epoch: [72][4200/14090]	Time 0.724 (0.767)	Data 0.001 (0.002)	Loss 1.6443 (1.8291)	Prec@1 60.156 (52.109)	Prec@5 83.594 (81.631)
Epoch: [72][4210/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 1.8726 (1.8292)	Prec@1 52.344 (52.104)	Prec@5 80.469 (81.628)
Epoch: [72][4220/14090]	Time 0.860 (0.767)	Data 0.001 (0.002)	Loss 1.9333 (1.8293)	Prec@1 51.562 (52.103)	Prec@5 78.906 (81.629)
Epoch: [72][4230/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 1.6962 (1.8292)	Prec@1 54.688 (52.104)	Prec@5 82.031 (81.633)
Epoch: [72][4240/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 1.8609 (1.8293)	Prec@1 57.031 (52.104)	Prec@5 78.906 (81.629)
Epoch: [72][4250/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 1.8679 (1.8292)	Prec@1 51.562 (52.108)	Prec@5 78.125 (81.630)
Epoch: [72][4260/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 1.6198 (1.8293)	Prec@1 58.594 (52.105)	Prec@5 85.938 (81.627)
Epoch: [72][4270/14090]	Time 0.761 (0.767)	Data 0.001 (0.002)	Loss 1.7791 (1.8292)	Prec@1 56.250 (52.107)	Prec@5 82.812 (81.629)
Epoch: [72][4280/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 1.8376 (1.8293)	Prec@1 51.562 (52.105)	Prec@5 78.906 (81.626)
Epoch: [72][4290/14090]	Time 0.862 (0.767)	Data 0.001 (0.002)	Loss 1.8707 (1.8292)	Prec@1 58.594 (52.109)	Prec@5 78.906 (81.629)
Epoch: [72][4300/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 1.8412 (1.8292)	Prec@1 51.562 (52.110)	Prec@5 83.594 (81.629)
Epoch: [72][4310/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.0081 (1.8292)	Prec@1 48.438 (52.114)	Prec@5 79.688 (81.626)
Epoch: [72][4320/14090]	Time 0.783 (0.767)	Data 0.001 (0.002)	Loss 1.8095 (1.8290)	Prec@1 53.906 (52.120)	Prec@5 78.125 (81.630)
Epoch: [72][4330/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 1.7467 (1.8290)	Prec@1 54.688 (52.120)	Prec@5 83.594 (81.628)
Epoch: [72][4340/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 1.9466 (1.8288)	Prec@1 50.781 (52.123)	Prec@5 78.906 (81.628)
Epoch: [72][4350/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 1.7770 (1.8287)	Prec@1 46.094 (52.126)	Prec@5 85.938 (81.631)
Epoch: [72][4360/14090]	Time 0.877 (0.767)	Data 0.001 (0.002)	Loss 1.5970 (1.8286)	Prec@1 60.938 (52.128)	Prec@5 83.594 (81.634)
Epoch: [72][4370/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 1.9586 (1.8284)	Prec@1 46.875 (52.131)	Prec@5 76.562 (81.634)
Epoch: [72][4380/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 1.9703 (1.8284)	Prec@1 46.094 (52.125)	Prec@5 78.906 (81.634)
Epoch: [72][4390/14090]	Time 0.770 (0.767)	Data 0.001 (0.002)	Loss 1.6704 (1.8284)	Prec@1 54.688 (52.127)	Prec@5 85.156 (81.634)
Epoch: [72][4400/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 1.9251 (1.8286)	Prec@1 46.875 (52.122)	Prec@5 82.812 (81.630)
Epoch: [72][4410/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 1.8749 (1.8286)	Prec@1 47.656 (52.120)	Prec@5 87.500 (81.629)
Epoch: [72][4420/14090]	Time 0.779 (0.767)	Data 0.001 (0.002)	Loss 1.9819 (1.8288)	Prec@1 49.219 (52.116)	Prec@5 78.906 (81.626)
Epoch: [72][4430/14090]	Time 0.859 (0.767)	Data 0.001 (0.002)	Loss 1.8174 (1.8288)	Prec@1 51.562 (52.112)	Prec@5 86.719 (81.627)
Epoch: [72][4440/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 1.7031 (1.8286)	Prec@1 53.125 (52.114)	Prec@5 83.594 (81.627)
Epoch: [72][4450/14090]	Time 0.775 (0.767)	Data 0.001 (0.002)	Loss 1.8387 (1.8285)	Prec@1 50.000 (52.118)	Prec@5 82.031 (81.629)
Epoch: [72][4460/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 1.6025 (1.8285)	Prec@1 56.250 (52.121)	Prec@5 78.906 (81.628)
Epoch: [72][4470/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 1.9201 (1.8285)	Prec@1 47.656 (52.120)	Prec@5 79.688 (81.627)
Epoch: [72][4480/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 1.7160 (1.8285)	Prec@1 54.688 (52.124)	Prec@5 85.156 (81.624)
Epoch: [72][4490/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 1.9838 (1.8283)	Prec@1 48.438 (52.128)	Prec@5 79.688 (81.629)
Epoch: [72][4500/14090]	Time 0.871 (0.767)	Data 0.001 (0.002)	Loss 2.0285 (1.8283)	Prec@1 48.438 (52.130)	Prec@5 78.125 (81.627)
Epoch: [72][4510/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 1.5873 (1.8282)	Prec@1 55.469 (52.132)	Prec@5 85.938 (81.626)
Epoch: [72][4520/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 1.6820 (1.8283)	Prec@1 57.812 (52.129)	Prec@5 82.812 (81.624)
Epoch: [72][4530/14090]	Time 0.766 (0.767)	Data 0.001 (0.002)	Loss 1.8696 (1.8284)	Prec@1 50.781 (52.125)	Prec@5 80.469 (81.623)
Epoch: [72][4540/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 1.5362 (1.8283)	Prec@1 56.250 (52.127)	Prec@5 87.500 (81.625)
Epoch: [72][4550/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 1.7752 (1.8282)	Prec@1 52.344 (52.129)	Prec@5 85.938 (81.626)
Epoch: [72][4560/14090]	Time 0.769 (0.767)	Data 0.001 (0.002)	Loss 2.0040 (1.8283)	Prec@1 50.000 (52.131)	Prec@5 78.906 (81.629)
Epoch: [72][4570/14090]	Time 0.933 (0.767)	Data 0.001 (0.002)	Loss 1.8565 (1.8282)	Prec@1 50.781 (52.134)	Prec@5 82.031 (81.631)
Epoch: [72][4580/14090]	Time 0.764 (0.767)	Data 0.001 (0.002)	Loss 1.9638 (1.8283)	Prec@1 49.219 (52.130)	Prec@5 82.031 (81.631)
Epoch: [72][4590/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 1.9249 (1.8284)	Prec@1 50.781 (52.127)	Prec@5 82.812 (81.628)
Epoch: [72][4600/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 1.9069 (1.8287)	Prec@1 53.125 (52.122)	Prec@5 79.688 (81.623)
Epoch: [72][4610/14090]	Time 0.757 (0.767)	Data 0.001 (0.002)	Loss 1.6941 (1.8286)	Prec@1 53.906 (52.122)	Prec@5 83.594 (81.627)
Epoch: [72][4620/14090]	Time 0.763 (0.767)	Data 0.001 (0.002)	Loss 1.6183 (1.8286)	Prec@1 56.250 (52.122)	Prec@5 87.500 (81.629)
Epoch: [72][4630/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 2.1158 (1.8287)	Prec@1 46.875 (52.120)	Prec@5 75.000 (81.628)
Epoch: [72][4640/14090]	Time 0.886 (0.767)	Data 0.001 (0.002)	Loss 1.8624 (1.8288)	Prec@1 52.344 (52.121)	Prec@5 78.125 (81.627)
Epoch: [72][4650/14090]	Time 0.720 (0.767)	Data 0.001 (0.002)	Loss 1.7181 (1.8288)	Prec@1 53.906 (52.119)	Prec@5 85.938 (81.630)
Epoch: [72][4660/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 1.7850 (1.8287)	Prec@1 46.875 (52.117)	Prec@5 84.375 (81.633)
Epoch: [72][4670/14090]	Time 0.774 (0.767)	Data 0.001 (0.002)	Loss 1.6278 (1.8287)	Prec@1 60.156 (52.115)	Prec@5 84.375 (81.631)
Epoch: [72][4680/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 1.9462 (1.8289)	Prec@1 48.438 (52.107)	Prec@5 77.344 (81.627)
Epoch: [72][4690/14090]	Time 0.727 (0.767)	Data 0.001 (0.002)	Loss 1.6757 (1.8290)	Prec@1 57.812 (52.106)	Prec@5 83.594 (81.627)
Epoch: [72][4700/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 1.6311 (1.8289)	Prec@1 59.375 (52.110)	Prec@5 83.594 (81.628)
Epoch: [72][4710/14090]	Time 0.836 (0.767)	Data 0.001 (0.002)	Loss 1.9216 (1.8289)	Prec@1 47.656 (52.110)	Prec@5 84.375 (81.629)
Epoch: [72][4720/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 1.9270 (1.8290)	Prec@1 49.219 (52.107)	Prec@5 82.031 (81.626)
Epoch: [72][4730/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 1.6787 (1.8290)	Prec@1 50.781 (52.104)	Prec@5 85.938 (81.627)
Epoch: [72][4740/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 1.8768 (1.8290)	Prec@1 49.219 (52.104)	Prec@5 80.469 (81.626)
Epoch: [72][4750/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 1.6725 (1.8291)	Prec@1 58.594 (52.104)	Prec@5 81.250 (81.623)
Epoch: [72][4760/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 1.6989 (1.8291)	Prec@1 57.812 (52.107)	Prec@5 80.469 (81.622)
Epoch: [72][4770/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 1.6717 (1.8291)	Prec@1 56.250 (52.110)	Prec@5 83.594 (81.622)
Epoch: [72][4780/14090]	Time 0.894 (0.767)	Data 0.001 (0.002)	Loss 1.3241 (1.8291)	Prec@1 68.750 (52.109)	Prec@5 90.625 (81.623)
Epoch: [72][4790/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 1.5867 (1.8290)	Prec@1 60.156 (52.113)	Prec@5 86.719 (81.627)
Epoch: [72][4800/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 1.7222 (1.8290)	Prec@1 58.594 (52.114)	Prec@5 82.031 (81.628)
Epoch: [72][4810/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 1.9930 (1.8289)	Prec@1 45.312 (52.114)	Prec@5 77.344 (81.631)
Epoch: [72][4820/14090]	Time 0.762 (0.767)	Data 0.001 (0.002)	Loss 1.7684 (1.8288)	Prec@1 54.688 (52.116)	Prec@5 81.250 (81.632)
Epoch: [72][4830/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 1.9489 (1.8288)	Prec@1 49.219 (52.116)	Prec@5 82.031 (81.634)
Epoch: [72][4840/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 1.7509 (1.8289)	Prec@1 52.344 (52.113)	Prec@5 78.906 (81.632)
Epoch: [72][4850/14090]	Time 0.884 (0.767)	Data 0.001 (0.002)	Loss 1.8476 (1.8291)	Prec@1 50.781 (52.109)	Prec@5 81.250 (81.627)
Epoch: [72][4860/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 1.7772 (1.8290)	Prec@1 57.031 (52.111)	Prec@5 83.594 (81.628)
Epoch: [72][4870/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 1.9110 (1.8290)	Prec@1 52.344 (52.112)	Prec@5 78.125 (81.630)
Epoch: [72][4880/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 1.8335 (1.8290)	Prec@1 53.906 (52.112)	Prec@5 78.125 (81.630)
Epoch: [72][4890/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 1.7352 (1.8291)	Prec@1 50.781 (52.108)	Prec@5 82.812 (81.627)
Epoch: [72][4900/14090]	Time 0.725 (0.767)	Data 0.001 (0.002)	Loss 1.7177 (1.8291)	Prec@1 53.125 (52.107)	Prec@5 85.156 (81.628)
Epoch: [72][4910/14090]	Time 0.773 (0.767)	Data 0.001 (0.002)	Loss 1.9335 (1.8290)	Prec@1 46.875 (52.109)	Prec@5 79.688 (81.630)
Epoch: [72][4920/14090]	Time 0.847 (0.767)	Data 0.001 (0.002)	Loss 1.8484 (1.8290)	Prec@1 49.219 (52.109)	Prec@5 85.156 (81.628)
Epoch: [72][4930/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 1.9530 (1.8291)	Prec@1 44.531 (52.109)	Prec@5 80.469 (81.628)
Epoch: [72][4940/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 1.8122 (1.8291)	Prec@1 46.875 (52.104)	Prec@5 82.812 (81.629)
Epoch: [72][4950/14090]	Time 0.772 (0.767)	Data 0.001 (0.002)	Loss 2.0086 (1.8292)	Prec@1 53.125 (52.101)	Prec@5 78.125 (81.625)
Epoch: [72][4960/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 1.7145 (1.8292)	Prec@1 53.125 (52.103)	Prec@5 83.594 (81.625)
Epoch: [72][4970/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 2.0751 (1.8292)	Prec@1 52.344 (52.105)	Prec@5 79.688 (81.627)
Epoch: [72][4980/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 1.4077 (1.8291)	Prec@1 63.281 (52.107)	Prec@5 89.062 (81.630)
Epoch: [72][4990/14090]	Time 0.881 (0.767)	Data 0.001 (0.002)	Loss 1.8978 (1.8291)	Prec@1 52.344 (52.106)	Prec@5 83.594 (81.633)
Epoch: [72][5000/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 1.9967 (1.8292)	Prec@1 49.219 (52.102)	Prec@5 73.438 (81.630)
Epoch: [72][5010/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 2.0710 (1.8293)	Prec@1 48.438 (52.101)	Prec@5 74.219 (81.628)
Epoch: [72][5020/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 1.7819 (1.8293)	Prec@1 53.125 (52.101)	Prec@5 82.812 (81.628)
Epoch: [72][5030/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 1.7860 (1.8294)	Prec@1 53.906 (52.098)	Prec@5 81.250 (81.629)
Epoch: [72][5040/14090]	Time 0.727 (0.767)	Data 0.001 (0.002)	Loss 1.8121 (1.8294)	Prec@1 43.750 (52.096)	Prec@5 81.250 (81.627)
Epoch: [72][5050/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 1.5551 (1.8294)	Prec@1 59.375 (52.098)	Prec@5 86.719 (81.628)
Epoch: [72][5060/14090]	Time 0.866 (0.767)	Data 0.001 (0.002)	Loss 1.9550 (1.8295)	Prec@1 53.125 (52.095)	Prec@5 78.125 (81.627)
Epoch: [72][5070/14090]	Time 0.774 (0.767)	Data 0.001 (0.002)	Loss 1.7270 (1.8295)	Prec@1 55.469 (52.096)	Prec@5 79.688 (81.626)
Epoch: [72][5080/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 1.8534 (1.8293)	Prec@1 56.250 (52.096)	Prec@5 80.469 (81.627)
Epoch: [72][5090/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 1.8882 (1.8294)	Prec@1 50.000 (52.094)	Prec@5 79.688 (81.622)
Epoch: [72][5100/14090]	Time 0.771 (0.767)	Data 0.001 (0.002)	Loss 1.9807 (1.8295)	Prec@1 44.531 (52.092)	Prec@5 81.250 (81.622)
Epoch: [72][5110/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 1.9484 (1.8296)	Prec@1 49.219 (52.086)	Prec@5 78.125 (81.622)
Epoch: [72][5120/14090]	Time 0.765 (0.767)	Data 0.001 (0.002)	Loss 1.6939 (1.8296)	Prec@1 58.594 (52.087)	Prec@5 85.938 (81.623)
Epoch: [72][5130/14090]	Time 0.876 (0.767)	Data 0.001 (0.002)	Loss 1.7072 (1.8295)	Prec@1 51.562 (52.088)	Prec@5 82.031 (81.622)
Epoch: [72][5140/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 1.7549 (1.8294)	Prec@1 53.125 (52.091)	Prec@5 85.938 (81.625)
Epoch: [72][5150/14090]	Time 0.719 (0.767)	Data 0.001 (0.002)	Loss 1.8793 (1.8294)	Prec@1 50.000 (52.093)	Prec@5 80.469 (81.628)
Epoch: [72][5160/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.0027 (1.8292)	Prec@1 49.219 (52.099)	Prec@5 79.688 (81.631)
Epoch: [72][5170/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 1.9995 (1.8292)	Prec@1 50.000 (52.098)	Prec@5 84.375 (81.633)
Epoch: [72][5180/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 1.9685 (1.8293)	Prec@1 46.094 (52.096)	Prec@5 82.031 (81.632)
Epoch: [72][5190/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 1.8643 (1.8293)	Prec@1 53.906 (52.097)	Prec@5 78.906 (81.628)
Epoch: [72][5200/14090]	Time 0.869 (0.767)	Data 0.001 (0.002)	Loss 1.9125 (1.8293)	Prec@1 51.562 (52.097)	Prec@5 78.906 (81.627)
Epoch: [72][5210/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 1.9886 (1.8293)	Prec@1 50.000 (52.096)	Prec@5 79.688 (81.625)
Epoch: [72][5220/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 1.9356 (1.8294)	Prec@1 50.781 (52.097)	Prec@5 76.562 (81.623)
Epoch: [72][5230/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 1.9176 (1.8294)	Prec@1 46.875 (52.098)	Prec@5 80.469 (81.624)
Epoch: [72][5240/14090]	Time 0.724 (0.767)	Data 0.001 (0.002)	Loss 1.6751 (1.8294)	Prec@1 54.688 (52.101)	Prec@5 85.156 (81.624)
Epoch: [72][5250/14090]	Time 0.760 (0.767)	Data 0.001 (0.002)	Loss 1.7362 (1.8293)	Prec@1 53.906 (52.105)	Prec@5 84.375 (81.627)
Epoch: [72][5260/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 1.8880 (1.8291)	Prec@1 54.688 (52.108)	Prec@5 77.344 (81.630)
Epoch: [72][5270/14090]	Time 0.874 (0.767)	Data 0.001 (0.002)	Loss 2.0486 (1.8293)	Prec@1 46.875 (52.102)	Prec@5 76.562 (81.627)
Epoch: [72][5280/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 2.4423 (1.8295)	Prec@1 35.938 (52.098)	Prec@5 70.312 (81.621)
Epoch: [72][5290/14090]	Time 0.722 (0.767)	Data 0.001 (0.002)	Loss 1.8670 (1.8296)	Prec@1 53.906 (52.097)	Prec@5 83.594 (81.623)
Epoch: [72][5300/14090]	Time 0.782 (0.767)	Data 0.001 (0.002)	Loss 1.9144 (1.8296)	Prec@1 50.781 (52.097)	Prec@5 80.469 (81.622)
Epoch: [72][5310/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 1.7331 (1.8296)	Prec@1 58.594 (52.099)	Prec@5 82.031 (81.623)
Epoch: [72][5320/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 1.9219 (1.8296)	Prec@1 57.031 (52.099)	Prec@5 78.125 (81.623)
Epoch: [72][5330/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 2.0976 (1.8296)	Prec@1 51.562 (52.101)	Prec@5 72.656 (81.625)
Epoch: [72][5340/14090]	Time 0.869 (0.767)	Data 0.001 (0.002)	Loss 1.7442 (1.8295)	Prec@1 48.438 (52.104)	Prec@5 82.812 (81.627)
Epoch: [72][5350/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 1.6796 (1.8295)	Prec@1 53.906 (52.105)	Prec@5 86.719 (81.626)
Epoch: [72][5360/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 2.0404 (1.8295)	Prec@1 49.219 (52.107)	Prec@5 79.688 (81.627)
Epoch: [72][5370/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 1.8454 (1.8295)	Prec@1 52.344 (52.107)	Prec@5 79.688 (81.626)
Epoch: [72][5380/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 1.8892 (1.8295)	Prec@1 50.000 (52.107)	Prec@5 78.906 (81.624)
Epoch: [72][5390/14090]	Time 0.763 (0.767)	Data 0.001 (0.002)	Loss 1.7225 (1.8294)	Prec@1 53.906 (52.109)	Prec@5 84.375 (81.626)
Epoch: [72][5400/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 1.7034 (1.8293)	Prec@1 52.344 (52.108)	Prec@5 85.156 (81.626)
Epoch: [72][5410/14090]	Time 0.894 (0.767)	Data 0.001 (0.002)	Loss 2.1156 (1.8294)	Prec@1 44.531 (52.105)	Prec@5 75.000 (81.625)
Epoch: [72][5420/14090]	Time 0.727 (0.767)	Data 0.001 (0.002)	Loss 1.7329 (1.8294)	Prec@1 52.344 (52.106)	Prec@5 86.719 (81.626)
Epoch: [72][5430/14090]	Time 0.779 (0.767)	Data 0.001 (0.002)	Loss 1.9630 (1.8295)	Prec@1 49.219 (52.101)	Prec@5 80.469 (81.624)
Epoch: [72][5440/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 1.8192 (1.8295)	Prec@1 50.000 (52.101)	Prec@5 82.031 (81.624)
Epoch: [72][5450/14090]	Time 0.770 (0.767)	Data 0.001 (0.002)	Loss 2.0080 (1.8293)	Prec@1 45.312 (52.105)	Prec@5 81.250 (81.629)
Epoch: [72][5460/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 1.6321 (1.8295)	Prec@1 57.812 (52.100)	Prec@5 84.375 (81.625)
Epoch: [72][5470/14090]	Time 0.731 (0.767)	Data 0.001 (0.002)	Loss 2.2254 (1.8296)	Prec@1 43.750 (52.098)	Prec@5 75.000 (81.624)
Epoch: [72][5480/14090]	Time 0.884 (0.767)	Data 0.001 (0.002)	Loss 1.6489 (1.8295)	Prec@1 59.375 (52.100)	Prec@5 88.281 (81.626)
Epoch: [72][5490/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 1.9457 (1.8297)	Prec@1 47.656 (52.097)	Prec@5 81.250 (81.622)
Epoch: [72][5500/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 1.8352 (1.8297)	Prec@1 52.344 (52.100)	Prec@5 76.562 (81.622)
Epoch: [72][5510/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 1.8606 (1.8298)	Prec@1 54.688 (52.097)	Prec@5 81.250 (81.621)
Epoch: [72][5520/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 1.9844 (1.8297)	Prec@1 51.562 (52.097)	Prec@5 81.250 (81.621)
Epoch: [72][5530/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 1.5988 (1.8298)	Prec@1 54.688 (52.095)	Prec@5 83.594 (81.621)
Epoch: [72][5540/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 1.7597 (1.8297)	Prec@1 56.250 (52.097)	Prec@5 83.594 (81.623)
Epoch: [72][5550/14090]	Time 0.879 (0.767)	Data 0.001 (0.002)	Loss 1.9249 (1.8296)	Prec@1 49.219 (52.097)	Prec@5 83.594 (81.623)
Epoch: [72][5560/14090]	Time 0.762 (0.767)	Data 0.001 (0.002)	Loss 1.9636 (1.8298)	Prec@1 46.875 (52.093)	Prec@5 82.031 (81.621)
Epoch: [72][5570/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 1.7028 (1.8299)	Prec@1 53.906 (52.088)	Prec@5 86.719 (81.618)
Epoch: [72][5580/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 1.7870 (1.8299)	Prec@1 51.562 (52.090)	Prec@5 83.594 (81.619)
Epoch: [72][5590/14090]	Time 0.728 (0.767)	Data 0.001 (0.002)	Loss 1.9527 (1.8300)	Prec@1 51.562 (52.088)	Prec@5 78.125 (81.619)
Epoch: [72][5600/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 1.9749 (1.8301)	Prec@1 51.562 (52.088)	Prec@5 76.562 (81.614)
Epoch: [72][5610/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 1.6517 (1.8302)	Prec@1 56.250 (52.087)	Prec@5 82.031 (81.615)
Epoch: [72][5620/14090]	Time 0.835 (0.767)	Data 0.001 (0.002)	Loss 1.8191 (1.8301)	Prec@1 51.562 (52.086)	Prec@5 82.031 (81.615)
Epoch: [72][5630/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 1.6683 (1.8302)	Prec@1 55.469 (52.084)	Prec@5 85.938 (81.614)
Epoch: [72][5640/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 1.7480 (1.8302)	Prec@1 57.812 (52.085)	Prec@5 80.469 (81.614)
Epoch: [72][5650/14090]	Time 0.727 (0.767)	Data 0.001 (0.002)	Loss 1.9797 (1.8302)	Prec@1 50.781 (52.082)	Prec@5 81.250 (81.615)
Epoch: [72][5660/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 1.7255 (1.8302)	Prec@1 53.906 (52.082)	Prec@5 83.594 (81.615)
Epoch: [72][5670/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 1.8277 (1.8301)	Prec@1 56.250 (52.086)	Prec@5 84.375 (81.617)
Epoch: [72][5680/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 1.8822 (1.8301)	Prec@1 53.125 (52.086)	Prec@5 78.125 (81.620)
Epoch: [72][5690/14090]	Time 0.872 (0.767)	Data 0.001 (0.002)	Loss 1.8106 (1.8301)	Prec@1 53.906 (52.084)	Prec@5 82.031 (81.622)
Epoch: [72][5700/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 1.7859 (1.8301)	Prec@1 54.688 (52.085)	Prec@5 81.250 (81.621)
Epoch: [72][5710/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 1.8122 (1.8302)	Prec@1 55.469 (52.084)	Prec@5 80.469 (81.617)
Epoch: [72][5720/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 1.6570 (1.8301)	Prec@1 53.906 (52.087)	Prec@5 90.625 (81.621)
Epoch: [72][5730/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 1.7077 (1.8301)	Prec@1 57.812 (52.089)	Prec@5 82.812 (81.618)
Epoch: [72][5740/14090]	Time 0.761 (0.767)	Data 0.001 (0.002)	Loss 1.7900 (1.8302)	Prec@1 47.656 (52.087)	Prec@5 82.812 (81.617)
Epoch: [72][5750/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 1.4860 (1.8301)	Prec@1 58.594 (52.090)	Prec@5 89.844 (81.618)
Epoch: [72][5760/14090]	Time 0.901 (0.767)	Data 0.001 (0.002)	Loss 2.0649 (1.8302)	Prec@1 46.875 (52.086)	Prec@5 78.125 (81.617)
Epoch: [72][5770/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 2.1091 (1.8304)	Prec@1 41.406 (52.084)	Prec@5 76.562 (81.615)
Epoch: [72][5780/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 1.8425 (1.8304)	Prec@1 51.562 (52.083)	Prec@5 83.594 (81.611)
Epoch: [72][5790/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 2.0197 (1.8305)	Prec@1 47.656 (52.081)	Prec@5 78.125 (81.610)
Epoch: [72][5800/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 2.0532 (1.8305)	Prec@1 45.312 (52.080)	Prec@5 78.125 (81.609)
Epoch: [72][5810/14090]	Time 0.727 (0.767)	Data 0.001 (0.002)	Loss 1.7343 (1.8305)	Prec@1 52.344 (52.081)	Prec@5 85.156 (81.612)
Epoch: [72][5820/14090]	Time 0.727 (0.767)	Data 0.001 (0.002)	Loss 1.7106 (1.8304)	Prec@1 55.469 (52.085)	Prec@5 85.156 (81.613)
Epoch: [72][5830/14090]	Time 0.884 (0.767)	Data 0.001 (0.002)	Loss 1.7371 (1.8304)	Prec@1 56.250 (52.084)	Prec@5 82.031 (81.614)
Epoch: [72][5840/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 1.8418 (1.8305)	Prec@1 56.250 (52.083)	Prec@5 82.031 (81.611)
Epoch: [72][5850/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 1.8402 (1.8304)	Prec@1 51.562 (52.083)	Prec@5 81.250 (81.613)
Epoch: [72][5860/14090]	Time 0.725 (0.767)	Data 0.001 (0.002)	Loss 2.0101 (1.8304)	Prec@1 47.656 (52.080)	Prec@5 75.000 (81.613)
Epoch: [72][5870/14090]	Time 0.761 (0.767)	Data 0.001 (0.002)	Loss 2.1440 (1.8304)	Prec@1 42.188 (52.078)	Prec@5 78.906 (81.614)
Epoch: [72][5880/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 1.6503 (1.8304)	Prec@1 60.156 (52.083)	Prec@5 83.594 (81.615)
Epoch: [72][5890/14090]	Time 0.768 (0.767)	Data 0.001 (0.002)	Loss 1.9196 (1.8304)	Prec@1 53.125 (52.083)	Prec@5 80.469 (81.616)
Epoch: [72][5900/14090]	Time 0.829 (0.767)	Data 0.001 (0.002)	Loss 1.8532 (1.8305)	Prec@1 56.250 (52.080)	Prec@5 82.031 (81.614)
Epoch: [72][5910/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 1.7730 (1.8303)	Prec@1 56.250 (52.086)	Prec@5 82.812 (81.617)
Epoch: [72][5920/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 1.7842 (1.8303)	Prec@1 53.125 (52.087)	Prec@5 82.812 (81.615)
Epoch: [72][5930/14090]	Time 0.731 (0.767)	Data 0.001 (0.002)	Loss 1.6759 (1.8302)	Prec@1 50.781 (52.089)	Prec@5 84.375 (81.617)
Epoch: [72][5940/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 1.5369 (1.8302)	Prec@1 60.156 (52.090)	Prec@5 89.062 (81.616)
Epoch: [72][5950/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 1.7106 (1.8301)	Prec@1 48.438 (52.091)	Prec@5 86.719 (81.619)
Epoch: [72][5960/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 1.7632 (1.8300)	Prec@1 55.469 (52.093)	Prec@5 84.375 (81.620)
Epoch: [72][5970/14090]	Time 0.860 (0.767)	Data 0.001 (0.002)	Loss 1.8494 (1.8299)	Prec@1 50.000 (52.094)	Prec@5 81.250 (81.622)
Epoch: [72][5980/14090]	Time 0.724 (0.767)	Data 0.001 (0.002)	Loss 1.7801 (1.8298)	Prec@1 49.219 (52.093)	Prec@5 82.031 (81.623)
Epoch: [72][5990/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 1.8753 (1.8297)	Prec@1 53.906 (52.098)	Prec@5 81.250 (81.626)
Epoch: [72][6000/14090]	Time 0.766 (0.767)	Data 0.001 (0.002)	Loss 1.8210 (1.8298)	Prec@1 52.344 (52.096)	Prec@5 82.031 (81.624)
Epoch: [72][6010/14090]	Time 0.768 (0.767)	Data 0.001 (0.002)	Loss 1.8022 (1.8298)	Prec@1 51.562 (52.097)	Prec@5 81.250 (81.621)
Epoch: [72][6020/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 1.8830 (1.8299)	Prec@1 50.781 (52.096)	Prec@5 82.031 (81.619)
Epoch: [72][6030/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 1.8549 (1.8299)	Prec@1 54.688 (52.095)	Prec@5 80.469 (81.618)
Epoch: [72][6040/14090]	Time 0.873 (0.767)	Data 0.001 (0.002)	Loss 1.9354 (1.8300)	Prec@1 53.125 (52.093)	Prec@5 82.031 (81.618)
Epoch: [72][6050/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 1.7443 (1.8299)	Prec@1 50.000 (52.095)	Prec@5 82.031 (81.618)
Epoch: [72][6060/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 1.8881 (1.8300)	Prec@1 50.000 (52.092)	Prec@5 79.688 (81.614)
Epoch: [72][6070/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 1.7164 (1.8300)	Prec@1 55.469 (52.094)	Prec@5 85.156 (81.614)
Epoch: [72][6080/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 1.9718 (1.8301)	Prec@1 51.562 (52.093)	Prec@5 77.344 (81.612)
Epoch: [72][6090/14090]	Time 0.762 (0.767)	Data 0.001 (0.002)	Loss 1.5821 (1.8299)	Prec@1 56.250 (52.098)	Prec@5 82.031 (81.614)
Epoch: [72][6100/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 1.7564 (1.8300)	Prec@1 53.125 (52.096)	Prec@5 86.719 (81.615)
Epoch: [72][6110/14090]	Time 0.883 (0.767)	Data 0.001 (0.002)	Loss 2.0011 (1.8299)	Prec@1 51.562 (52.096)	Prec@5 78.125 (81.617)
Epoch: [72][6120/14090]	Time 0.785 (0.767)	Data 0.001 (0.002)	Loss 1.9096 (1.8301)	Prec@1 51.562 (52.094)	Prec@5 80.469 (81.615)
Epoch: [72][6130/14090]	Time 0.765 (0.767)	Data 0.001 (0.002)	Loss 1.7708 (1.8299)	Prec@1 50.781 (52.091)	Prec@5 82.812 (81.618)
Epoch: [72][6140/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 1.8335 (1.8299)	Prec@1 49.219 (52.093)	Prec@5 80.469 (81.616)
Epoch: [72][6150/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 2.0838 (1.8299)	Prec@1 45.312 (52.093)	Prec@5 79.688 (81.616)
Epoch: [72][6160/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 1.6028 (1.8300)	Prec@1 56.250 (52.090)	Prec@5 85.938 (81.614)
Epoch: [72][6170/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 1.8004 (1.8300)	Prec@1 55.469 (52.090)	Prec@5 79.688 (81.614)
Epoch: [72][6180/14090]	Time 0.895 (0.767)	Data 0.001 (0.002)	Loss 1.7209 (1.8301)	Prec@1 53.125 (52.086)	Prec@5 81.250 (81.613)
Epoch: [72][6190/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 1.9616 (1.8301)	Prec@1 50.000 (52.085)	Prec@5 73.438 (81.611)
Epoch: [72][6200/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 1.4819 (1.8301)	Prec@1 62.500 (52.086)	Prec@5 89.844 (81.613)
Epoch: [72][6210/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 1.7222 (1.8301)	Prec@1 51.562 (52.088)	Prec@5 85.938 (81.611)
Epoch: [72][6220/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 1.9773 (1.8302)	Prec@1 49.219 (52.084)	Prec@5 78.125 (81.608)
Epoch: [72][6230/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 1.8071 (1.8303)	Prec@1 54.688 (52.081)	Prec@5 81.250 (81.605)
Epoch: [72][6240/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 1.7964 (1.8302)	Prec@1 57.031 (52.083)	Prec@5 84.375 (81.607)
Epoch: [72][6250/14090]	Time 0.856 (0.767)	Data 0.001 (0.002)	Loss 1.9732 (1.8303)	Prec@1 50.781 (52.083)	Prec@5 75.000 (81.606)
Epoch: [72][6260/14090]	Time 0.782 (0.767)	Data 0.001 (0.002)	Loss 1.9018 (1.8303)	Prec@1 50.781 (52.084)	Prec@5 79.688 (81.607)
Epoch: [72][6270/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 2.0274 (1.8304)	Prec@1 49.219 (52.083)	Prec@5 83.594 (81.608)
Epoch: [72][6280/14090]	Time 0.777 (0.767)	Data 0.001 (0.002)	Loss 1.8075 (1.8304)	Prec@1 57.031 (52.085)	Prec@5 83.594 (81.607)
Epoch: [72][6290/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 1.9900 (1.8305)	Prec@1 48.438 (52.081)	Prec@5 80.469 (81.605)
Epoch: [72][6300/14090]	Time 0.723 (0.767)	Data 0.001 (0.002)	Loss 2.1545 (1.8305)	Prec@1 43.750 (52.078)	Prec@5 81.250 (81.607)
Epoch: [72][6310/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 1.8303 (1.8305)	Prec@1 52.344 (52.079)	Prec@5 78.906 (81.607)
Epoch: [72][6320/14090]	Time 0.888 (0.767)	Data 0.001 (0.002)	Loss 1.8575 (1.8306)	Prec@1 50.000 (52.080)	Prec@5 81.250 (81.605)
Epoch: [72][6330/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 1.7336 (1.8305)	Prec@1 54.688 (52.078)	Prec@5 83.594 (81.607)
Epoch: [72][6340/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 1.9458 (1.8306)	Prec@1 46.094 (52.080)	Prec@5 81.250 (81.604)
Epoch: [72][6350/14090]	Time 0.770 (0.767)	Data 0.001 (0.002)	Loss 1.7124 (1.8306)	Prec@1 56.250 (52.080)	Prec@5 80.469 (81.605)
Epoch: [72][6360/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 1.6945 (1.8308)	Prec@1 55.469 (52.076)	Prec@5 82.031 (81.603)
Epoch: [72][6370/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 1.7386 (1.8308)	Prec@1 57.031 (52.076)	Prec@5 80.469 (81.601)
Epoch: [72][6380/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 1.8260 (1.8307)	Prec@1 51.562 (52.077)	Prec@5 82.031 (81.603)
Epoch: [72][6390/14090]	Time 0.860 (0.767)	Data 0.001 (0.002)	Loss 1.9014 (1.8307)	Prec@1 47.656 (52.076)	Prec@5 80.469 (81.604)
Epoch: [72][6400/14090]	Time 0.762 (0.767)	Data 0.001 (0.002)	Loss 1.6449 (1.8306)	Prec@1 54.688 (52.078)	Prec@5 87.500 (81.606)
Epoch: [72][6410/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 1.6586 (1.8307)	Prec@1 57.031 (52.076)	Prec@5 83.594 (81.605)
Epoch: [72][6420/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 1.6871 (1.8306)	Prec@1 53.906 (52.078)	Prec@5 83.594 (81.606)
Epoch: [72][6430/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 1.9612 (1.8307)	Prec@1 48.438 (52.077)	Prec@5 81.250 (81.605)
Epoch: [72][6440/14090]	Time 0.764 (0.767)	Data 0.001 (0.002)	Loss 1.8312 (1.8308)	Prec@1 48.438 (52.073)	Prec@5 81.250 (81.603)
Epoch: [72][6450/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 1.9294 (1.8309)	Prec@1 45.312 (52.069)	Prec@5 79.688 (81.601)
Epoch: [72][6460/14090]	Time 0.863 (0.767)	Data 0.001 (0.002)	Loss 1.9046 (1.8310)	Prec@1 50.000 (52.071)	Prec@5 77.344 (81.601)
Epoch: [72][6470/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.0029 (1.8310)	Prec@1 52.344 (52.070)	Prec@5 78.125 (81.600)
Epoch: [72][6480/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 1.6866 (1.8308)	Prec@1 57.812 (52.071)	Prec@5 81.250 (81.603)
Epoch: [72][6490/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 1.7590 (1.8309)	Prec@1 56.250 (52.073)	Prec@5 80.469 (81.603)
Epoch: [72][6500/14090]	Time 0.780 (0.767)	Data 0.001 (0.002)	Loss 1.7795 (1.8309)	Prec@1 51.562 (52.074)	Prec@5 82.031 (81.603)
Epoch: [72][6510/14090]	Time 0.727 (0.767)	Data 0.001 (0.002)	Loss 1.9840 (1.8308)	Prec@1 50.000 (52.077)	Prec@5 80.469 (81.605)
Epoch: [72][6520/14090]	Time 0.760 (0.767)	Data 0.001 (0.002)	Loss 1.6924 (1.8308)	Prec@1 57.031 (52.076)	Prec@5 82.031 (81.605)
Epoch: [72][6530/14090]	Time 0.856 (0.767)	Data 0.001 (0.002)	Loss 1.9864 (1.8309)	Prec@1 53.125 (52.076)	Prec@5 78.125 (81.602)
Epoch: [72][6540/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 1.5296 (1.8309)	Prec@1 53.906 (52.076)	Prec@5 89.844 (81.602)
Epoch: [72][6550/14090]	Time 0.780 (0.766)	Data 0.001 (0.002)	Loss 1.9996 (1.8309)	Prec@1 48.438 (52.074)	Prec@5 78.125 (81.600)
Epoch: [72][6560/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 1.9686 (1.8309)	Prec@1 50.781 (52.072)	Prec@5 78.125 (81.599)
Epoch: [72][6570/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 1.8547 (1.8308)	Prec@1 57.812 (52.077)	Prec@5 79.688 (81.601)
Epoch: [72][6580/14090]	Time 0.761 (0.766)	Data 0.001 (0.002)	Loss 1.9647 (1.8309)	Prec@1 50.000 (52.072)	Prec@5 79.688 (81.600)
Epoch: [72][6590/14090]	Time 0.761 (0.766)	Data 0.001 (0.002)	Loss 1.6744 (1.8310)	Prec@1 58.594 (52.070)	Prec@5 85.156 (81.601)
Epoch: [72][6600/14090]	Time 0.894 (0.766)	Data 0.001 (0.002)	Loss 1.9164 (1.8310)	Prec@1 48.438 (52.069)	Prec@5 80.469 (81.599)
Epoch: [72][6610/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 1.8521 (1.8311)	Prec@1 53.125 (52.068)	Prec@5 82.031 (81.595)
Epoch: [72][6620/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 1.8993 (1.8312)	Prec@1 48.438 (52.068)	Prec@5 81.250 (81.595)
Epoch: [72][6630/14090]	Time 0.778 (0.766)	Data 0.001 (0.002)	Loss 1.8094 (1.8312)	Prec@1 53.906 (52.071)	Prec@5 85.156 (81.594)
Epoch: [72][6640/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.0144 (1.8312)	Prec@1 49.219 (52.069)	Prec@5 77.344 (81.594)
Epoch: [72][6650/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 2.1567 (1.8313)	Prec@1 45.312 (52.067)	Prec@5 78.906 (81.595)
Epoch: [72][6660/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 1.4306 (1.8312)	Prec@1 63.281 (52.070)	Prec@5 86.719 (81.596)
Epoch: [72][6670/14090]	Time 0.850 (0.766)	Data 0.001 (0.002)	Loss 1.8106 (1.8312)	Prec@1 48.438 (52.067)	Prec@5 83.594 (81.595)
Epoch: [72][6680/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 1.6087 (1.8312)	Prec@1 53.906 (52.068)	Prec@5 81.250 (81.594)
Epoch: [72][6690/14090]	Time 0.726 (0.766)	Data 0.001 (0.002)	Loss 1.8785 (1.8312)	Prec@1 46.875 (52.068)	Prec@5 82.031 (81.593)
Epoch: [72][6700/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 1.8840 (1.8311)	Prec@1 50.000 (52.072)	Prec@5 80.469 (81.594)
Epoch: [72][6710/14090]	Time 0.768 (0.766)	Data 0.001 (0.002)	Loss 1.7271 (1.8310)	Prec@1 53.125 (52.076)	Prec@5 85.938 (81.597)
Epoch: [72][6720/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 1.7829 (1.8309)	Prec@1 46.875 (52.076)	Prec@5 82.031 (81.600)
Epoch: [72][6730/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 1.4143 (1.8309)	Prec@1 64.844 (52.077)	Prec@5 87.500 (81.599)
Epoch: [72][6740/14090]	Time 0.866 (0.766)	Data 0.001 (0.002)	Loss 1.6490 (1.8308)	Prec@1 57.812 (52.078)	Prec@5 84.375 (81.600)
Epoch: [72][6750/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 1.7583 (1.8308)	Prec@1 50.000 (52.077)	Prec@5 82.031 (81.599)
Epoch: [72][6760/14090]	Time 0.778 (0.766)	Data 0.001 (0.002)	Loss 1.7621 (1.8308)	Prec@1 53.125 (52.080)	Prec@5 81.250 (81.600)
Epoch: [72][6770/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 2.0185 (1.8308)	Prec@1 47.656 (52.078)	Prec@5 79.688 (81.600)
Epoch: [72][6780/14090]	Time 0.725 (0.766)	Data 0.001 (0.002)	Loss 1.8648 (1.8308)	Prec@1 52.344 (52.078)	Prec@5 75.781 (81.601)
Epoch: [72][6790/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 1.8336 (1.8309)	Prec@1 56.250 (52.077)	Prec@5 82.812 (81.601)
Epoch: [72][6800/14090]	Time 0.724 (0.766)	Data 0.001 (0.002)	Loss 1.7817 (1.8309)	Prec@1 53.906 (52.079)	Prec@5 82.812 (81.601)
Epoch: [72][6810/14090]	Time 0.876 (0.766)	Data 0.001 (0.002)	Loss 1.8594 (1.8308)	Prec@1 50.781 (52.082)	Prec@5 81.250 (81.601)
Epoch: [72][6820/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 1.9114 (1.8308)	Prec@1 50.781 (52.083)	Prec@5 82.031 (81.601)
Epoch: [72][6830/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 1.8418 (1.8308)	Prec@1 54.688 (52.080)	Prec@5 81.250 (81.599)
Epoch: [72][6840/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.2677 (1.8309)	Prec@1 42.969 (52.081)	Prec@5 73.438 (81.597)
Epoch: [72][6850/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 1.9871 (1.8309)	Prec@1 46.875 (52.081)	Prec@5 80.469 (81.597)
Epoch: [72][6860/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 1.9120 (1.8309)	Prec@1 53.125 (52.083)	Prec@5 82.031 (81.599)
Epoch: [72][6870/14090]	Time 0.785 (0.766)	Data 0.001 (0.002)	Loss 1.8077 (1.8308)	Prec@1 48.438 (52.085)	Prec@5 84.375 (81.601)
Epoch: [72][6880/14090]	Time 0.870 (0.766)	Data 0.001 (0.002)	Loss 1.8323 (1.8307)	Prec@1 50.781 (52.087)	Prec@5 80.469 (81.603)
Epoch: [72][6890/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 1.6709 (1.8307)	Prec@1 57.031 (52.087)	Prec@5 82.812 (81.603)
Epoch: [72][6900/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.1215 (1.8308)	Prec@1 47.656 (52.085)	Prec@5 78.125 (81.602)
Epoch: [72][6910/14090]	Time 0.773 (0.766)	Data 0.001 (0.002)	Loss 1.7043 (1.8309)	Prec@1 56.250 (52.082)	Prec@5 82.031 (81.600)
Epoch: [72][6920/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 1.7119 (1.8309)	Prec@1 53.125 (52.082)	Prec@5 85.156 (81.599)
Epoch: [72][6930/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 1.8965 (1.8309)	Prec@1 40.625 (52.079)	Prec@5 81.250 (81.599)
Epoch: [72][6940/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 1.5770 (1.8308)	Prec@1 55.469 (52.078)	Prec@5 85.938 (81.599)
Epoch: [72][6950/14090]	Time 0.838 (0.766)	Data 0.001 (0.002)	Loss 1.7645 (1.8307)	Prec@1 55.469 (52.084)	Prec@5 84.375 (81.600)
Epoch: [72][6960/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 1.8442 (1.8308)	Prec@1 57.812 (52.083)	Prec@5 82.031 (81.598)
Epoch: [72][6970/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 1.9273 (1.8308)	Prec@1 46.875 (52.084)	Prec@5 78.906 (81.598)
Epoch: [72][6980/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 1.5828 (1.8307)	Prec@1 56.250 (52.088)	Prec@5 89.062 (81.602)
Epoch: [72][6990/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 1.8358 (1.8308)	Prec@1 51.562 (52.088)	Prec@5 80.469 (81.601)
Epoch: [72][7000/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 1.6591 (1.8307)	Prec@1 57.812 (52.091)	Prec@5 89.844 (81.602)
Epoch: [72][7010/14090]	Time 0.779 (0.766)	Data 0.001 (0.002)	Loss 2.0004 (1.8307)	Prec@1 47.656 (52.091)	Prec@5 81.250 (81.602)
Epoch: [72][7020/14090]	Time 0.859 (0.766)	Data 0.001 (0.002)	Loss 1.8827 (1.8308)	Prec@1 53.125 (52.090)	Prec@5 80.469 (81.599)
Epoch: [72][7030/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 1.7426 (1.8307)	Prec@1 57.031 (52.091)	Prec@5 83.594 (81.601)
Epoch: [72][7040/14090]	Time 0.727 (0.766)	Data 0.001 (0.002)	Loss 1.8944 (1.8307)	Prec@1 53.125 (52.089)	Prec@5 82.031 (81.602)
Epoch: [72][7050/14090]	Time 0.766 (0.766)	Data 0.001 (0.002)	Loss 1.6173 (1.8307)	Prec@1 58.594 (52.088)	Prec@5 82.812 (81.601)
Epoch: [72][7060/14090]	Time 0.725 (0.766)	Data 0.001 (0.002)	Loss 1.6468 (1.8307)	Prec@1 55.469 (52.088)	Prec@5 84.375 (81.602)
Epoch: [72][7070/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.0165 (1.8306)	Prec@1 52.344 (52.090)	Prec@5 78.906 (81.603)
Epoch: [72][7080/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 1.6937 (1.8305)	Prec@1 52.344 (52.092)	Prec@5 86.719 (81.603)
Epoch: [72][7090/14090]	Time 0.881 (0.766)	Data 0.001 (0.002)	Loss 1.8595 (1.8305)	Prec@1 57.031 (52.091)	Prec@5 78.125 (81.604)
Epoch: [72][7100/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 1.8090 (1.8305)	Prec@1 52.344 (52.092)	Prec@5 78.906 (81.604)
Epoch: [72][7110/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 1.9823 (1.8305)	Prec@1 48.438 (52.089)	Prec@5 80.469 (81.602)
Epoch: [72][7120/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 1.8888 (1.8306)	Prec@1 46.094 (52.087)	Prec@5 87.500 (81.604)
Epoch: [72][7130/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 1.6275 (1.8305)	Prec@1 50.781 (52.089)	Prec@5 83.594 (81.606)
Epoch: [72][7140/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 1.6508 (1.8305)	Prec@1 58.594 (52.089)	Prec@5 87.500 (81.605)
Epoch: [72][7150/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 1.8632 (1.8306)	Prec@1 47.656 (52.086)	Prec@5 82.812 (81.605)
Epoch: [72][7160/14090]	Time 0.864 (0.766)	Data 0.001 (0.002)	Loss 1.9430 (1.8306)	Prec@1 50.781 (52.085)	Prec@5 78.906 (81.607)
Epoch: [72][7170/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 1.8355 (1.8305)	Prec@1 50.781 (52.087)	Prec@5 81.250 (81.607)
Epoch: [72][7180/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 1.7452 (1.8304)	Prec@1 52.344 (52.089)	Prec@5 89.844 (81.608)
Epoch: [72][7190/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 1.6429 (1.8304)	Prec@1 56.250 (52.090)	Prec@5 85.156 (81.606)
Epoch: [72][7200/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 1.6456 (1.8305)	Prec@1 59.375 (52.088)	Prec@5 82.031 (81.606)
Epoch: [72][7210/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 1.8687 (1.8305)	Prec@1 51.562 (52.087)	Prec@5 85.938 (81.608)
Epoch: [72][7220/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 1.7546 (1.8305)	Prec@1 51.562 (52.088)	Prec@5 79.688 (81.607)
Epoch: [72][7230/14090]	Time 0.849 (0.766)	Data 0.001 (0.002)	Loss 1.6924 (1.8304)	Prec@1 58.594 (52.090)	Prec@5 85.156 (81.611)
Epoch: [72][7240/14090]	Time 0.722 (0.766)	Data 0.001 (0.002)	Loss 1.9328 (1.8303)	Prec@1 53.125 (52.092)	Prec@5 78.906 (81.613)
Epoch: [72][7250/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 1.7451 (1.8303)	Prec@1 57.812 (52.097)	Prec@5 82.031 (81.612)
Epoch: [72][7260/14090]	Time 0.779 (0.766)	Data 0.001 (0.001)	Loss 1.8236 (1.8304)	Prec@1 50.000 (52.094)	Prec@5 78.906 (81.610)
Epoch: [72][7270/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 1.7611 (1.8304)	Prec@1 55.469 (52.094)	Prec@5 87.500 (81.611)
Epoch: [72][7280/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 1.7254 (1.8304)	Prec@1 52.344 (52.093)	Prec@5 84.375 (81.612)
Epoch: [72][7290/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 1.7658 (1.8304)	Prec@1 55.469 (52.092)	Prec@5 82.031 (81.611)
Epoch: [72][7300/14090]	Time 0.823 (0.766)	Data 0.001 (0.001)	Loss 2.1156 (1.8304)	Prec@1 49.219 (52.093)	Prec@5 78.125 (81.613)
Epoch: [72][7310/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 1.9553 (1.8305)	Prec@1 50.000 (52.091)	Prec@5 78.125 (81.610)
Epoch: [72][7320/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 1.9340 (1.8305)	Prec@1 46.875 (52.093)	Prec@5 82.031 (81.609)
Epoch: [72][7330/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 1.3993 (1.8306)	Prec@1 63.281 (52.092)	Prec@5 89.844 (81.609)
Epoch: [72][7340/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 1.9159 (1.8306)	Prec@1 49.219 (52.091)	Prec@5 82.031 (81.608)
Epoch: [72][7350/14090]	Time 0.722 (0.766)	Data 0.001 (0.001)	Loss 1.9404 (1.8305)	Prec@1 52.344 (52.092)	Prec@5 78.906 (81.610)
Epoch: [72][7360/14090]	Time 0.769 (0.766)	Data 0.001 (0.001)	Loss 1.6445 (1.8305)	Prec@1 54.688 (52.093)	Prec@5 85.938 (81.611)
Epoch: [72][7370/14090]	Time 0.839 (0.766)	Data 0.001 (0.001)	Loss 1.7405 (1.8306)	Prec@1 53.906 (52.093)	Prec@5 83.594 (81.610)
Epoch: [72][7380/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 1.7847 (1.8307)	Prec@1 57.812 (52.091)	Prec@5 80.469 (81.608)
Epoch: [72][7390/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 1.6169 (1.8306)	Prec@1 53.906 (52.092)	Prec@5 86.719 (81.609)
Epoch: [72][7400/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 1.8161 (1.8306)	Prec@1 51.562 (52.091)	Prec@5 83.594 (81.609)
Epoch: [72][7410/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 1.7073 (1.8306)	Prec@1 53.906 (52.089)	Prec@5 84.375 (81.610)
Epoch: [72][7420/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 1.6955 (1.8305)	Prec@1 55.469 (52.091)	Prec@5 80.469 (81.612)
Epoch: [72][7430/14090]	Time 0.782 (0.766)	Data 0.001 (0.001)	Loss 1.8609 (1.8305)	Prec@1 53.125 (52.092)	Prec@5 79.688 (81.612)
Epoch: [72][7440/14090]	Time 0.818 (0.766)	Data 0.001 (0.001)	Loss 1.8572 (1.8306)	Prec@1 52.344 (52.088)	Prec@5 75.000 (81.608)
Epoch: [72][7450/14090]	Time 0.768 (0.766)	Data 0.001 (0.001)	Loss 1.9173 (1.8306)	Prec@1 49.219 (52.087)	Prec@5 82.031 (81.608)
Epoch: [72][7460/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 1.9882 (1.8306)	Prec@1 47.656 (52.090)	Prec@5 80.469 (81.608)
Epoch: [72][7470/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 1.7837 (1.8306)	Prec@1 53.906 (52.091)	Prec@5 82.812 (81.609)
Epoch: [72][7480/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 1.8885 (1.8307)	Prec@1 46.875 (52.088)	Prec@5 84.375 (81.608)
Epoch: [72][7490/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 2.2138 (1.8307)	Prec@1 44.531 (52.087)	Prec@5 75.781 (81.609)
Epoch: [72][7500/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 1.7508 (1.8306)	Prec@1 53.125 (52.089)	Prec@5 84.375 (81.611)
Epoch: [72][7510/14090]	Time 0.858 (0.766)	Data 0.001 (0.001)	Loss 1.8814 (1.8306)	Prec@1 53.125 (52.088)	Prec@5 80.469 (81.611)
Epoch: [72][7520/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 1.7287 (1.8306)	Prec@1 51.562 (52.090)	Prec@5 77.344 (81.609)
Epoch: [72][7530/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 1.9439 (1.8307)	Prec@1 50.781 (52.089)	Prec@5 81.250 (81.607)
Epoch: [72][7540/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.1968 (1.8307)	Prec@1 41.406 (52.088)	Prec@5 78.125 (81.607)
Epoch: [72][7550/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 1.8809 (1.8307)	Prec@1 57.031 (52.087)	Prec@5 76.562 (81.607)
Epoch: [72][7560/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 1.6814 (1.8309)	Prec@1 56.250 (52.086)	Prec@5 83.594 (81.604)
Epoch: [72][7570/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 1.8503 (1.8309)	Prec@1 46.094 (52.084)	Prec@5 82.031 (81.602)
Epoch: [72][7580/14090]	Time 0.865 (0.766)	Data 0.001 (0.001)	Loss 1.9268 (1.8309)	Prec@1 53.125 (52.084)	Prec@5 79.688 (81.601)
Epoch: [72][7590/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 1.7459 (1.8309)	Prec@1 54.688 (52.086)	Prec@5 84.375 (81.601)
Epoch: [72][7600/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.4100 (1.8311)	Prec@1 39.844 (52.083)	Prec@5 71.094 (81.598)
Epoch: [72][7610/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 1.8867 (1.8312)	Prec@1 57.812 (52.082)	Prec@5 76.562 (81.597)
Epoch: [72][7620/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 1.9348 (1.8311)	Prec@1 48.438 (52.085)	Prec@5 77.344 (81.598)
Epoch: [72][7630/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 1.8227 (1.8311)	Prec@1 51.562 (52.086)	Prec@5 85.156 (81.597)
Epoch: [72][7640/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 1.7522 (1.8312)	Prec@1 51.562 (52.084)	Prec@5 78.906 (81.597)
Epoch: [72][7650/14090]	Time 0.863 (0.766)	Data 0.001 (0.001)	Loss 1.7241 (1.8312)	Prec@1 55.469 (52.086)	Prec@5 79.688 (81.595)
Epoch: [72][7660/14090]	Time 0.769 (0.766)	Data 0.001 (0.001)	Loss 1.8774 (1.8312)	Prec@1 55.469 (52.084)	Prec@5 81.250 (81.593)
Epoch: [72][7670/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 1.8021 (1.8313)	Prec@1 50.000 (52.081)	Prec@5 80.469 (81.591)
Epoch: [72][7680/14090]	Time 0.782 (0.766)	Data 0.001 (0.001)	Loss 1.6988 (1.8312)	Prec@1 54.688 (52.083)	Prec@5 89.062 (81.593)
Epoch: [72][7690/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 1.5689 (1.8312)	Prec@1 56.250 (52.083)	Prec@5 87.500 (81.595)
Epoch: [72][7700/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 1.5989 (1.8312)	Prec@1 57.031 (52.083)	Prec@5 85.938 (81.593)
Epoch: [72][7710/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 1.7587 (1.8312)	Prec@1 56.250 (52.086)	Prec@5 82.031 (81.594)
Epoch: [72][7720/14090]	Time 0.893 (0.766)	Data 0.001 (0.001)	Loss 1.8605 (1.8312)	Prec@1 48.438 (52.085)	Prec@5 83.594 (81.596)
Epoch: [72][7730/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 1.8412 (1.8311)	Prec@1 56.250 (52.087)	Prec@5 78.125 (81.597)
Epoch: [72][7740/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 1.9482 (1.8310)	Prec@1 51.562 (52.086)	Prec@5 78.125 (81.596)
Epoch: [72][7750/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 1.8117 (1.8310)	Prec@1 55.469 (52.087)	Prec@5 84.375 (81.598)
Epoch: [72][7760/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 1.8680 (1.8309)	Prec@1 48.438 (52.088)	Prec@5 84.375 (81.600)
Epoch: [72][7770/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 1.7846 (1.8309)	Prec@1 53.125 (52.086)	Prec@5 83.594 (81.600)
Epoch: [72][7780/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 1.8903 (1.8309)	Prec@1 54.688 (52.086)	Prec@5 79.688 (81.601)
Epoch: [72][7790/14090]	Time 0.862 (0.766)	Data 0.001 (0.001)	Loss 2.0434 (1.8309)	Prec@1 39.062 (52.083)	Prec@5 81.250 (81.600)
Epoch: [72][7800/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.1491 (1.8309)	Prec@1 42.188 (52.080)	Prec@5 75.781 (81.601)
Epoch: [72][7810/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 1.8136 (1.8310)	Prec@1 55.469 (52.078)	Prec@5 82.031 (81.600)
Epoch: [72][7820/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 1.8780 (1.8311)	Prec@1 52.344 (52.075)	Prec@5 82.812 (81.597)
Epoch: [72][7830/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.1426 (1.8312)	Prec@1 46.094 (52.073)	Prec@5 75.781 (81.595)
Epoch: [72][7840/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 1.8946 (1.8312)	Prec@1 55.469 (52.074)	Prec@5 80.469 (81.595)
Epoch: [72][7850/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 1.8442 (1.8312)	Prec@1 50.781 (52.072)	Prec@5 81.250 (81.595)
Epoch: [72][7860/14090]	Time 0.876 (0.766)	Data 0.001 (0.001)	Loss 1.8242 (1.8313)	Prec@1 50.000 (52.071)	Prec@5 79.688 (81.593)
Epoch: [72][7870/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 1.8695 (1.8313)	Prec@1 47.656 (52.071)	Prec@5 81.250 (81.594)
Epoch: [72][7880/14090]	Time 0.769 (0.766)	Data 0.001 (0.001)	Loss 1.6399 (1.8311)	Prec@1 57.031 (52.073)	Prec@5 85.938 (81.597)
Epoch: [72][7890/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 1.6432 (1.8311)	Prec@1 54.688 (52.073)	Prec@5 85.938 (81.597)
Epoch: [72][7900/14090]	Time 0.786 (0.766)	Data 0.001 (0.001)	Loss 1.8572 (1.8311)	Prec@1 50.781 (52.075)	Prec@5 83.594 (81.600)
Epoch: [72][7910/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 1.6336 (1.8310)	Prec@1 57.812 (52.077)	Prec@5 84.375 (81.600)
Epoch: [72][7920/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 1.8189 (1.8310)	Prec@1 55.469 (52.076)	Prec@5 85.156 (81.602)
Epoch: [72][7930/14090]	Time 0.858 (0.766)	Data 0.001 (0.001)	Loss 1.7822 (1.8310)	Prec@1 53.125 (52.077)	Prec@5 84.375 (81.603)
Epoch: [72][7940/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 1.6191 (1.8310)	Prec@1 57.031 (52.079)	Prec@5 84.375 (81.602)
Epoch: [72][7950/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 1.4091 (1.8310)	Prec@1 60.938 (52.081)	Prec@5 88.281 (81.603)
Epoch: [72][7960/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 1.6623 (1.8309)	Prec@1 53.125 (52.080)	Prec@5 87.500 (81.603)
Epoch: [72][7970/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 1.7767 (1.8309)	Prec@1 46.875 (52.082)	Prec@5 82.812 (81.604)
Epoch: [72][7980/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 1.9182 (1.8309)	Prec@1 50.781 (52.082)	Prec@5 78.906 (81.604)
Epoch: [72][7990/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 1.8953 (1.8309)	Prec@1 50.781 (52.080)	Prec@5 81.250 (81.605)
Epoch: [72][8000/14090]	Time 0.858 (0.766)	Data 0.001 (0.001)	Loss 1.7784 (1.8309)	Prec@1 57.031 (52.079)	Prec@5 82.031 (81.602)
Epoch: [72][8010/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 1.5741 (1.8310)	Prec@1 51.562 (52.076)	Prec@5 88.281 (81.602)
Epoch: [72][8020/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.0267 (1.8310)	Prec@1 43.750 (52.075)	Prec@5 80.469 (81.602)
Epoch: [72][8030/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 1.9650 (1.8311)	Prec@1 50.781 (52.073)	Prec@5 76.562 (81.600)
Epoch: [72][8040/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 1.6127 (1.8312)	Prec@1 58.594 (52.072)	Prec@5 83.594 (81.599)
Epoch: [72][8050/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 1.7433 (1.8312)	Prec@1 51.562 (52.071)	Prec@5 82.031 (81.599)
Epoch: [72][8060/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.0175 (1.8312)	Prec@1 50.781 (52.072)	Prec@5 78.906 (81.600)
Epoch: [72][8070/14090]	Time 0.895 (0.766)	Data 0.001 (0.001)	Loss 2.0516 (1.8312)	Prec@1 46.094 (52.071)	Prec@5 77.344 (81.600)
Epoch: [72][8080/14090]	Time 0.723 (0.766)	Data 0.001 (0.001)	Loss 1.6489 (1.8312)	Prec@1 57.031 (52.070)	Prec@5 82.031 (81.600)
Epoch: [72][8090/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 1.9158 (1.8312)	Prec@1 48.438 (52.069)	Prec@5 78.906 (81.601)
Epoch: [72][8100/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.0586 (1.8312)	Prec@1 48.438 (52.068)	Prec@5 77.344 (81.601)
Epoch: [72][8110/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 1.6571 (1.8313)	Prec@1 57.031 (52.069)	Prec@5 82.031 (81.601)
Epoch: [72][8120/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 1.9770 (1.8312)	Prec@1 52.344 (52.069)	Prec@5 78.906 (81.600)
Epoch: [72][8130/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 2.0891 (1.8313)	Prec@1 47.656 (52.068)	Prec@5 77.344 (81.600)
Epoch: [72][8140/14090]	Time 0.892 (0.766)	Data 0.001 (0.001)	Loss 1.8495 (1.8314)	Prec@1 55.469 (52.068)	Prec@5 78.906 (81.599)
Epoch: [72][8150/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 1.8508 (1.8314)	Prec@1 44.531 (52.066)	Prec@5 81.250 (81.597)
Epoch: [72][8160/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 1.9093 (1.8313)	Prec@1 54.688 (52.069)	Prec@5 82.031 (81.596)
Epoch: [72][8170/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 1.5890 (1.8313)	Prec@1 55.469 (52.069)	Prec@5 86.719 (81.598)
Epoch: [72][8180/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 1.7759 (1.8313)	Prec@1 54.688 (52.069)	Prec@5 78.906 (81.597)
Epoch: [72][8190/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 2.1242 (1.8313)	Prec@1 43.750 (52.069)	Prec@5 74.219 (81.597)
Epoch: [72][8200/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 1.9628 (1.8313)	Prec@1 43.750 (52.067)	Prec@5 79.688 (81.598)
Epoch: [72][8210/14090]	Time 0.870 (0.766)	Data 0.001 (0.001)	Loss 1.6501 (1.8314)	Prec@1 56.250 (52.067)	Prec@5 78.906 (81.595)
Epoch: [72][8220/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 1.9194 (1.8315)	Prec@1 50.000 (52.065)	Prec@5 75.781 (81.593)
Epoch: [72][8230/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 1.9396 (1.8317)	Prec@1 47.656 (52.060)	Prec@5 77.344 (81.590)
Epoch: [72][8240/14090]	Time 0.778 (0.766)	Data 0.001 (0.001)	Loss 2.0278 (1.8316)	Prec@1 52.344 (52.062)	Prec@5 78.125 (81.592)
Epoch: [72][8250/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 1.7601 (1.8316)	Prec@1 50.781 (52.061)	Prec@5 82.031 (81.592)
Epoch: [72][8260/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 1.7037 (1.8316)	Prec@1 51.562 (52.061)	Prec@5 83.594 (81.591)
Epoch: [72][8270/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 1.6796 (1.8316)	Prec@1 55.469 (52.060)	Prec@5 81.250 (81.590)
Epoch: [72][8280/14090]	Time 0.862 (0.766)	Data 0.001 (0.001)	Loss 2.0511 (1.8317)	Prec@1 41.406 (52.059)	Prec@5 78.906 (81.589)
Epoch: [72][8290/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 1.9150 (1.8317)	Prec@1 50.000 (52.057)	Prec@5 78.906 (81.589)
Epoch: [72][8300/14090]	Time 0.722 (0.766)	Data 0.001 (0.001)	Loss 1.8940 (1.8318)	Prec@1 50.000 (52.058)	Prec@5 82.812 (81.588)
Epoch: [72][8310/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.0132 (1.8319)	Prec@1 50.781 (52.057)	Prec@5 78.906 (81.587)
Epoch: [72][8320/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 1.6490 (1.8318)	Prec@1 57.031 (52.059)	Prec@5 83.594 (81.588)
Epoch: [72][8330/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 1.7605 (1.8318)	Prec@1 51.562 (52.059)	Prec@5 80.469 (81.587)
Epoch: [72][8340/14090]	Time 0.769 (0.766)	Data 0.001 (0.001)	Loss 1.6914 (1.8318)	Prec@1 51.562 (52.059)	Prec@5 88.281 (81.589)
Epoch: [72][8350/14090]	Time 0.875 (0.766)	Data 0.001 (0.001)	Loss 1.8752 (1.8317)	Prec@1 49.219 (52.060)	Prec@5 82.031 (81.589)
Epoch: [72][8360/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 1.8295 (1.8317)	Prec@1 52.344 (52.060)	Prec@5 78.906 (81.590)
Epoch: [72][8370/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 1.7269 (1.8317)	Prec@1 55.469 (52.060)	Prec@5 84.375 (81.590)
Epoch: [72][8380/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 1.7632 (1.8317)	Prec@1 52.344 (52.059)	Prec@5 85.938 (81.591)
Epoch: [72][8390/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 1.6131 (1.8317)	Prec@1 57.031 (52.059)	Prec@5 85.156 (81.591)
Epoch: [72][8400/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 1.9306 (1.8317)	Prec@1 53.125 (52.057)	Prec@5 78.906 (81.592)
Epoch: [72][8410/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 1.8286 (1.8318)	Prec@1 52.344 (52.057)	Prec@5 81.250 (81.590)
Epoch: [72][8420/14090]	Time 0.853 (0.766)	Data 0.001 (0.001)	Loss 1.8672 (1.8317)	Prec@1 51.562 (52.059)	Prec@5 79.688 (81.591)
Epoch: [72][8430/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 1.8774 (1.8317)	Prec@1 50.781 (52.059)	Prec@5 82.812 (81.591)
Epoch: [72][8440/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 1.6545 (1.8316)	Prec@1 58.594 (52.061)	Prec@5 84.375 (81.594)
Epoch: [72][8450/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 1.8723 (1.8316)	Prec@1 46.875 (52.060)	Prec@5 80.469 (81.594)
Epoch: [72][8460/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 1.7874 (1.8316)	Prec@1 47.656 (52.059)	Prec@5 84.375 (81.594)
Epoch: [72][8470/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 1.7591 (1.8316)	Prec@1 58.594 (52.057)	Prec@5 79.688 (81.592)
Epoch: [72][8480/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.0459 (1.8316)	Prec@1 49.219 (52.056)	Prec@5 79.688 (81.592)
Epoch: [72][8490/14090]	Time 0.866 (0.766)	Data 0.001 (0.001)	Loss 1.9064 (1.8317)	Prec@1 51.562 (52.056)	Prec@5 76.562 (81.590)
Epoch: [72][8500/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 1.7074 (1.8316)	Prec@1 60.938 (52.057)	Prec@5 85.156 (81.591)
Epoch: [72][8510/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 1.7436 (1.8315)	Prec@1 53.125 (52.059)	Prec@5 82.031 (81.591)
Epoch: [72][8520/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 1.5748 (1.8315)	Prec@1 57.812 (52.061)	Prec@5 86.719 (81.591)
Epoch: [72][8530/14090]	Time 0.765 (0.766)	Data 0.001 (0.001)	Loss 1.9810 (1.8315)	Prec@1 49.219 (52.062)	Prec@5 82.812 (81.590)
Epoch: [72][8540/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 1.8119 (1.8315)	Prec@1 51.562 (52.061)	Prec@5 79.688 (81.591)
Epoch: [72][8550/14090]	Time 0.769 (0.766)	Data 0.001 (0.001)	Loss 1.8083 (1.8316)	Prec@1 52.344 (52.058)	Prec@5 85.938 (81.591)
Epoch: [72][8560/14090]	Time 0.881 (0.766)	Data 0.001 (0.001)	Loss 1.7026 (1.8316)	Prec@1 53.906 (52.060)	Prec@5 80.469 (81.591)
Epoch: [72][8570/14090]	Time 0.767 (0.766)	Data 0.001 (0.001)	Loss 1.7508 (1.8316)	Prec@1 53.906 (52.056)	Prec@5 79.688 (81.588)
Epoch: [72][8580/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 1.9014 (1.8316)	Prec@1 49.219 (52.057)	Prec@5 79.688 (81.588)
Epoch: [72][8590/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 1.5737 (1.8316)	Prec@1 55.469 (52.056)	Prec@5 82.812 (81.587)
Epoch: [72][8600/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.0384 (1.8316)	Prec@1 42.969 (52.056)	Prec@5 75.781 (81.586)
Epoch: [72][8610/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 1.9420 (1.8316)	Prec@1 50.000 (52.056)	Prec@5 79.688 (81.586)
Epoch: [72][8620/14090]	Time 0.723 (0.766)	Data 0.001 (0.001)	Loss 2.2933 (1.8317)	Prec@1 38.281 (52.053)	Prec@5 70.312 (81.584)
Epoch: [72][8630/14090]	Time 0.876 (0.766)	Data 0.001 (0.001)	Loss 1.6175 (1.8316)	Prec@1 55.469 (52.053)	Prec@5 84.375 (81.586)
Epoch: [72][8640/14090]	Time 0.769 (0.766)	Data 0.001 (0.001)	Loss 1.8662 (1.8316)	Prec@1 53.906 (52.051)	Prec@5 76.562 (81.586)
Epoch: [72][8650/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 1.7633 (1.8316)	Prec@1 55.469 (52.053)	Prec@5 82.031 (81.586)
Epoch: [72][8660/14090]	Time 0.790 (0.766)	Data 0.001 (0.001)	Loss 1.6434 (1.8316)	Prec@1 57.031 (52.054)	Prec@5 84.375 (81.586)
Epoch: [72][8670/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 1.4938 (1.8316)	Prec@1 58.594 (52.054)	Prec@5 89.844 (81.587)
Epoch: [72][8680/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 1.8654 (1.8315)	Prec@1 50.000 (52.054)	Prec@5 79.688 (81.589)
Epoch: [72][8690/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 1.8621 (1.8315)	Prec@1 50.781 (52.053)	Prec@5 85.156 (81.589)
Epoch: [72][8700/14090]	Time 0.854 (0.766)	Data 0.001 (0.001)	Loss 1.9624 (1.8316)	Prec@1 52.344 (52.053)	Prec@5 82.812 (81.589)
Epoch: [72][8710/14090]	Time 0.767 (0.766)	Data 0.001 (0.001)	Loss 1.8624 (1.8314)	Prec@1 57.031 (52.057)	Prec@5 81.250 (81.592)
Epoch: [72][8720/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.2338 (1.8315)	Prec@1 43.750 (52.055)	Prec@5 77.344 (81.591)
Epoch: [72][8730/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 1.7997 (1.8313)	Prec@1 50.781 (52.058)	Prec@5 85.156 (81.594)
Epoch: [72][8740/14090]	Time 0.780 (0.766)	Data 0.001 (0.001)	Loss 1.7714 (1.8314)	Prec@1 53.125 (52.056)	Prec@5 83.594 (81.594)
Epoch: [72][8750/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 1.8152 (1.8315)	Prec@1 54.688 (52.053)	Prec@5 82.031 (81.591)
Epoch: [72][8760/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 1.7971 (1.8316)	Prec@1 53.125 (52.053)	Prec@5 82.812 (81.590)
Epoch: [72][8770/14090]	Time 0.855 (0.766)	Data 0.001 (0.001)	Loss 1.7075 (1.8316)	Prec@1 55.469 (52.054)	Prec@5 81.250 (81.589)
Epoch: [72][8780/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 1.7153 (1.8316)	Prec@1 50.000 (52.051)	Prec@5 81.250 (81.590)
Epoch: [72][8790/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 1.9248 (1.8316)	Prec@1 46.094 (52.051)	Prec@5 78.125 (81.589)
Epoch: [72][8800/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 1.8127 (1.8316)	Prec@1 53.906 (52.052)	Prec@5 85.156 (81.590)
Epoch: [72][8810/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 1.6828 (1.8317)	Prec@1 53.125 (52.050)	Prec@5 85.156 (81.590)
Epoch: [72][8820/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 1.8414 (1.8317)	Prec@1 56.250 (52.050)	Prec@5 78.125 (81.591)
Epoch: [72][8830/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 1.8748 (1.8318)	Prec@1 51.562 (52.047)	Prec@5 77.344 (81.589)
Epoch: [72][8840/14090]	Time 0.845 (0.766)	Data 0.001 (0.001)	Loss 1.7304 (1.8319)	Prec@1 53.906 (52.046)	Prec@5 81.250 (81.589)
Epoch: [72][8850/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 1.8718 (1.8319)	Prec@1 55.469 (52.047)	Prec@5 83.594 (81.588)
Epoch: [72][8860/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 1.6896 (1.8320)	Prec@1 58.594 (52.046)	Prec@5 86.719 (81.589)
Epoch: [72][8870/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 1.7518 (1.8320)	Prec@1 50.000 (52.046)	Prec@5 77.344 (81.588)
Epoch: [72][8880/14090]	Time 0.777 (0.766)	Data 0.001 (0.001)	Loss 1.5624 (1.8320)	Prec@1 61.719 (52.046)	Prec@5 85.156 (81.589)
Epoch: [72][8890/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 1.6533 (1.8319)	Prec@1 55.469 (52.048)	Prec@5 86.719 (81.589)
Epoch: [72][8900/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.1058 (1.8320)	Prec@1 47.656 (52.047)	Prec@5 76.562 (81.588)
Epoch: [72][8910/14090]	Time 0.877 (0.766)	Data 0.001 (0.001)	Loss 2.0583 (1.8321)	Prec@1 46.094 (52.047)	Prec@5 81.250 (81.587)
Epoch: [72][8920/14090]	Time 0.770 (0.766)	Data 0.001 (0.001)	Loss 1.8851 (1.8320)	Prec@1 46.875 (52.048)	Prec@5 82.031 (81.588)
Epoch: [72][8930/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 1.8155 (1.8321)	Prec@1 52.344 (52.046)	Prec@5 82.031 (81.586)
Epoch: [72][8940/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 1.9100 (1.8321)	Prec@1 50.000 (52.045)	Prec@5 78.906 (81.587)
Epoch: [72][8950/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 1.8920 (1.8321)	Prec@1 52.344 (52.046)	Prec@5 82.031 (81.586)
Epoch: [72][8960/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 1.6217 (1.8321)	Prec@1 53.906 (52.046)	Prec@5 82.812 (81.585)
Epoch: [72][8970/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 1.7688 (1.8320)	Prec@1 52.344 (52.048)	Prec@5 81.250 (81.587)
Epoch: [72][8980/14090]	Time 0.873 (0.766)	Data 0.001 (0.001)	Loss 1.7931 (1.8321)	Prec@1 53.125 (52.047)	Prec@5 85.156 (81.587)
Epoch: [72][8990/14090]	Time 0.785 (0.766)	Data 0.001 (0.001)	Loss 1.7355 (1.8321)	Prec@1 57.812 (52.047)	Prec@5 84.375 (81.588)
Epoch: [72][9000/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 1.8803 (1.8321)	Prec@1 51.562 (52.047)	Prec@5 81.250 (81.588)
Epoch: [72][9010/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 1.9490 (1.8321)	Prec@1 50.781 (52.048)	Prec@5 80.469 (81.588)
Epoch: [72][9020/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.0585 (1.8322)	Prec@1 50.781 (52.046)	Prec@5 76.562 (81.586)
Epoch: [72][9030/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 1.7647 (1.8321)	Prec@1 58.594 (52.047)	Prec@5 81.250 (81.586)
Epoch: [72][9040/14090]	Time 0.777 (0.766)	Data 0.001 (0.001)	Loss 2.0236 (1.8322)	Prec@1 48.438 (52.045)	Prec@5 80.469 (81.585)
Epoch: [72][9050/14090]	Time 0.854 (0.766)	Data 0.001 (0.001)	Loss 1.8167 (1.8322)	Prec@1 54.688 (52.045)	Prec@5 80.469 (81.584)
Epoch: [72][9060/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 1.9183 (1.8323)	Prec@1 46.875 (52.041)	Prec@5 80.469 (81.583)
Epoch: [72][9070/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 1.8778 (1.8323)	Prec@1 54.688 (52.041)	Prec@5 83.594 (81.583)
Epoch: [72][9080/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.1528 (1.8323)	Prec@1 48.438 (52.042)	Prec@5 76.562 (81.582)
Epoch: [72][9090/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 1.9302 (1.8324)	Prec@1 50.781 (52.040)	Prec@5 76.562 (81.580)
Epoch: [72][9100/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 1.8669 (1.8324)	Prec@1 46.875 (52.038)	Prec@5 83.594 (81.580)
Epoch: [72][9110/14090]	Time 0.774 (0.766)	Data 0.001 (0.001)	Loss 1.7853 (1.8323)	Prec@1 53.125 (52.041)	Prec@5 82.812 (81.581)
Epoch: [72][9120/14090]	Time 0.880 (0.766)	Data 0.001 (0.001)	Loss 1.7041 (1.8323)	Prec@1 56.250 (52.040)	Prec@5 85.938 (81.582)
Epoch: [72][9130/14090]	Time 0.722 (0.766)	Data 0.001 (0.001)	Loss 2.0799 (1.8324)	Prec@1 53.125 (52.040)	Prec@5 76.562 (81.580)
Epoch: [72][9140/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 1.8505 (1.8324)	Prec@1 59.375 (52.043)	Prec@5 82.812 (81.580)
Epoch: [72][9150/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 1.8096 (1.8324)	Prec@1 49.219 (52.042)	Prec@5 85.156 (81.580)
Epoch: [72][9160/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 1.8282 (1.8323)	Prec@1 50.000 (52.042)	Prec@5 82.031 (81.581)
Epoch: [72][9170/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.0649 (1.8323)	Prec@1 51.562 (52.043)	Prec@5 75.781 (81.580)
Epoch: [72][9180/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 1.8019 (1.8323)	Prec@1 56.250 (52.044)	Prec@5 82.031 (81.579)
Epoch: [72][9190/14090]	Time 0.879 (0.766)	Data 0.001 (0.001)	Loss 1.7952 (1.8323)	Prec@1 51.562 (52.045)	Prec@5 81.250 (81.578)
Epoch: [72][9200/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.0312 (1.8323)	Prec@1 49.219 (52.045)	Prec@5 81.250 (81.577)
Epoch: [72][9210/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 1.9339 (1.8324)	Prec@1 48.438 (52.044)	Prec@5 75.781 (81.576)
Epoch: [72][9220/14090]	Time 0.772 (0.766)	Data 0.001 (0.001)	Loss 1.7304 (1.8324)	Prec@1 57.812 (52.043)	Prec@5 81.250 (81.574)
Epoch: [72][9230/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 1.6718 (1.8325)	Prec@1 56.250 (52.043)	Prec@5 89.062 (81.576)
Epoch: [72][9240/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 1.7910 (1.8325)	Prec@1 53.906 (52.042)	Prec@5 82.031 (81.576)
Epoch: [72][9250/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 1.6231 (1.8324)	Prec@1 57.031 (52.043)	Prec@5 82.812 (81.577)
Epoch: [72][9260/14090]	Time 0.887 (0.766)	Data 0.001 (0.001)	Loss 1.4472 (1.8324)	Prec@1 60.156 (52.042)	Prec@5 85.938 (81.575)
Epoch: [72][9270/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.2469 (1.8325)	Prec@1 44.531 (52.041)	Prec@5 72.656 (81.573)
Epoch: [72][9280/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 1.8932 (1.8325)	Prec@1 45.312 (52.040)	Prec@5 83.594 (81.574)
Epoch: [72][9290/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 1.8433 (1.8324)	Prec@1 47.656 (52.043)	Prec@5 85.156 (81.575)
Epoch: [72][9300/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 1.6455 (1.8325)	Prec@1 58.594 (52.039)	Prec@5 82.031 (81.574)
Epoch: [72][9310/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.0762 (1.8325)	Prec@1 50.000 (52.041)	Prec@5 73.438 (81.573)
Epoch: [72][9320/14090]	Time 0.765 (0.766)	Data 0.001 (0.001)	Loss 1.9000 (1.8325)	Prec@1 53.125 (52.041)	Prec@5 80.469 (81.574)
Epoch: [72][9330/14090]	Time 0.901 (0.766)	Data 0.001 (0.001)	Loss 1.9574 (1.8325)	Prec@1 53.125 (52.041)	Prec@5 76.562 (81.574)
Epoch: [72][9340/14090]	Time 0.779 (0.766)	Data 0.001 (0.001)	Loss 1.9944 (1.8326)	Prec@1 52.344 (52.041)	Prec@5 75.781 (81.572)
Epoch: [72][9350/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.0505 (1.8326)	Prec@1 52.344 (52.043)	Prec@5 76.562 (81.570)
Epoch: [72][9360/14090]	Time 0.768 (0.766)	Data 0.001 (0.001)	Loss 1.8300 (1.8327)	Prec@1 49.219 (52.043)	Prec@5 85.156 (81.570)
Epoch: [72][9370/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.0047 (1.8327)	Prec@1 49.219 (52.043)	Prec@5 73.438 (81.568)
Epoch: [72][9380/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 1.8228 (1.8327)	Prec@1 54.688 (52.044)	Prec@5 82.031 (81.570)
Epoch: [72][9390/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 1.8057 (1.8327)	Prec@1 49.219 (52.043)	Prec@5 79.688 (81.570)
Epoch: [72][9400/14090]	Time 0.867 (0.766)	Data 0.001 (0.001)	Loss 1.6390 (1.8327)	Prec@1 54.688 (52.043)	Prec@5 86.719 (81.570)
Epoch: [72][9410/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 1.6238 (1.8327)	Prec@1 56.250 (52.042)	Prec@5 82.812 (81.570)
Epoch: [72][9420/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.1308 (1.8327)	Prec@1 46.094 (52.043)	Prec@5 82.031 (81.569)
Epoch: [72][9430/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 1.9613 (1.8327)	Prec@1 47.656 (52.043)	Prec@5 82.031 (81.571)
Epoch: [72][9440/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 1.6533 (1.8327)	Prec@1 50.781 (52.043)	Prec@5 85.938 (81.571)
Epoch: [72][9450/14090]	Time 0.723 (0.766)	Data 0.001 (0.001)	Loss 2.0274 (1.8327)	Prec@1 44.531 (52.043)	Prec@5 75.781 (81.571)
Epoch: [72][9460/14090]	Time 0.775 (0.766)	Data 0.001 (0.001)	Loss 1.8004 (1.8326)	Prec@1 53.906 (52.044)	Prec@5 81.250 (81.570)
Epoch: [72][9470/14090]	Time 0.890 (0.766)	Data 0.001 (0.001)	Loss 1.7961 (1.8326)	Prec@1 51.562 (52.045)	Prec@5 84.375 (81.572)
Epoch: [72][9480/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 1.6262 (1.8325)	Prec@1 50.781 (52.045)	Prec@5 82.812 (81.572)
Epoch: [72][9490/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 1.9425 (1.8325)	Prec@1 48.438 (52.047)	Prec@5 75.781 (81.572)
Epoch: [72][9500/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 1.6547 (1.8325)	Prec@1 57.031 (52.045)	Prec@5 86.719 (81.573)
Epoch: [72][9510/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.0200 (1.8325)	Prec@1 47.656 (52.046)	Prec@5 75.781 (81.574)
Epoch: [72][9520/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 1.7923 (1.8325)	Prec@1 53.125 (52.047)	Prec@5 82.812 (81.575)
Epoch: [72][9530/14090]	Time 0.776 (0.766)	Data 0.001 (0.001)	Loss 2.0074 (1.8325)	Prec@1 46.094 (52.048)	Prec@5 81.250 (81.576)
Epoch: [72][9540/14090]	Time 0.858 (0.766)	Data 0.001 (0.001)	Loss 1.9884 (1.8325)	Prec@1 44.531 (52.047)	Prec@5 77.344 (81.577)
Epoch: [72][9550/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.0780 (1.8325)	Prec@1 48.438 (52.047)	Prec@5 75.781 (81.577)
Epoch: [72][9560/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 1.4968 (1.8325)	Prec@1 60.938 (52.047)	Prec@5 86.719 (81.576)
Epoch: [72][9570/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 1.9717 (1.8325)	Prec@1 46.094 (52.046)	Prec@5 78.125 (81.577)
Epoch: [72][9580/14090]	Time 0.767 (0.766)	Data 0.001 (0.001)	Loss 1.6078 (1.8324)	Prec@1 61.719 (52.046)	Prec@5 83.594 (81.578)
Epoch: [72][9590/14090]	Time 0.724 (0.766)	Data 0.001 (0.001)	Loss 2.0188 (1.8325)	Prec@1 53.125 (52.045)	Prec@5 78.906 (81.578)
Epoch: [72][9600/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 1.9872 (1.8325)	Prec@1 48.438 (52.046)	Prec@5 78.906 (81.577)
Epoch: [72][9610/14090]	Time 0.856 (0.766)	Data 0.001 (0.001)	Loss 1.8218 (1.8325)	Prec@1 56.250 (52.046)	Prec@5 79.688 (81.577)
Epoch: [72][9620/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.2120 (1.8326)	Prec@1 41.406 (52.043)	Prec@5 78.906 (81.578)
Epoch: [72][9630/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 1.8075 (1.8326)	Prec@1 50.000 (52.042)	Prec@5 78.906 (81.576)
Epoch: [72][9640/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 1.5755 (1.8326)	Prec@1 53.906 (52.042)	Prec@5 85.938 (81.575)
Epoch: [72][9650/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.0306 (1.8327)	Prec@1 50.000 (52.039)	Prec@5 78.125 (81.572)
Epoch: [72][9660/14090]	Time 0.723 (0.766)	Data 0.001 (0.001)	Loss 2.1230 (1.8327)	Prec@1 42.969 (52.040)	Prec@5 76.562 (81.573)
Epoch: [72][9670/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 1.8485 (1.8328)	Prec@1 48.438 (52.038)	Prec@5 82.812 (81.570)
Epoch: [72][9680/14090]	Time 0.873 (0.766)	Data 0.001 (0.001)	Loss 1.8442 (1.8328)	Prec@1 53.906 (52.037)	Prec@5 76.562 (81.568)
Epoch: [72][9690/14090]	Time 0.773 (0.766)	Data 0.001 (0.001)	Loss 1.9181 (1.8328)	Prec@1 49.219 (52.037)	Prec@5 81.250 (81.569)
Epoch: [72][9700/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 1.8160 (1.8328)	Prec@1 52.344 (52.038)	Prec@5 78.906 (81.569)
Epoch: [72][9710/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 1.9267 (1.8327)	Prec@1 53.906 (52.039)	Prec@5 78.125 (81.570)
Epoch: [72][9720/14090]	Time 0.769 (0.766)	Data 0.001 (0.001)	Loss 1.9181 (1.8328)	Prec@1 53.125 (52.038)	Prec@5 79.688 (81.568)
Epoch: [72][9730/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 1.5957 (1.8328)	Prec@1 55.469 (52.038)	Prec@5 89.844 (81.568)
Epoch: [72][9740/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 1.9688 (1.8328)	Prec@1 48.438 (52.040)	Prec@5 78.906 (81.570)
Epoch: [72][9750/14090]	Time 0.877 (0.766)	Data 0.001 (0.001)	Loss 2.1329 (1.8329)	Prec@1 44.531 (52.037)	Prec@5 77.344 (81.567)
Epoch: [72][9760/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.1066 (1.8329)	Prec@1 46.094 (52.037)	Prec@5 80.469 (81.568)
Epoch: [72][9770/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 1.7174 (1.8328)	Prec@1 51.562 (52.038)	Prec@5 86.719 (81.569)
Epoch: [72][9780/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 1.7384 (1.8328)	Prec@1 55.469 (52.038)	Prec@5 83.594 (81.569)
Epoch: [72][9790/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 1.5668 (1.8328)	Prec@1 58.594 (52.039)	Prec@5 85.156 (81.569)
Epoch: [72][9800/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 1.8720 (1.8328)	Prec@1 46.875 (52.038)	Prec@5 82.812 (81.571)
Epoch: [72][9810/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 1.9027 (1.8328)	Prec@1 46.875 (52.036)	Prec@5 78.125 (81.570)
Epoch: [72][9820/14090]	Time 0.866 (0.766)	Data 0.001 (0.001)	Loss 1.9634 (1.8328)	Prec@1 46.875 (52.037)	Prec@5 81.250 (81.571)
Epoch: [72][9830/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 1.9215 (1.8327)	Prec@1 49.219 (52.040)	Prec@5 77.344 (81.572)
Epoch: [72][9840/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 1.8770 (1.8326)	Prec@1 49.219 (52.041)	Prec@5 81.250 (81.572)
Epoch: [72][9850/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 1.9400 (1.8326)	Prec@1 50.000 (52.042)	Prec@5 82.812 (81.573)
Epoch: [72][9860/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 1.9150 (1.8326)	Prec@1 47.656 (52.041)	Prec@5 80.469 (81.573)
Epoch: [72][9870/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 1.9106 (1.8327)	Prec@1 53.125 (52.040)	Prec@5 78.906 (81.572)
Epoch: [72][9880/14090]	Time 0.782 (0.766)	Data 0.001 (0.001)	Loss 1.9813 (1.8327)	Prec@1 49.219 (52.039)	Prec@5 78.125 (81.572)
Epoch: [72][9890/14090]	Time 0.853 (0.766)	Data 0.001 (0.001)	Loss 1.6992 (1.8327)	Prec@1 53.906 (52.040)	Prec@5 83.594 (81.573)
Epoch: [72][9900/14090]	Time 0.773 (0.766)	Data 0.001 (0.001)	Loss 1.7588 (1.8326)	Prec@1 47.656 (52.040)	Prec@5 83.594 (81.573)
Epoch: [72][9910/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 1.7713 (1.8326)	Prec@1 50.781 (52.041)	Prec@5 83.594 (81.574)
Epoch: [72][9920/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 2.0157 (1.8326)	Prec@1 46.875 (52.039)	Prec@5 78.906 (81.574)
Epoch: [72][9930/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.0095 (1.8327)	Prec@1 50.000 (52.037)	Prec@5 78.906 (81.572)
Epoch: [72][9940/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 1.7597 (1.8327)	Prec@1 50.781 (52.037)	Prec@5 86.719 (81.571)
Epoch: [72][9950/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 1.7967 (1.8327)	Prec@1 53.125 (52.035)	Prec@5 80.469 (81.570)
Epoch: [72][9960/14090]	Time 0.846 (0.766)	Data 0.001 (0.001)	Loss 2.0957 (1.8327)	Prec@1 42.969 (52.035)	Prec@5 79.688 (81.570)
Epoch: [72][9970/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 1.6994 (1.8327)	Prec@1 53.906 (52.034)	Prec@5 87.500 (81.571)
Epoch: [72][9980/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 1.9130 (1.8327)	Prec@1 50.781 (52.035)	Prec@5 78.125 (81.571)
Epoch: [72][9990/14090]	Time 0.783 (0.766)	Data 0.001 (0.001)	Loss 1.9012 (1.8327)	Prec@1 48.438 (52.034)	Prec@5 78.906 (81.570)
Epoch: [72][10000/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 1.9514 (1.8328)	Prec@1 48.438 (52.033)	Prec@5 79.688 (81.569)
Epoch: [72][10010/14090]	Time 0.765 (0.766)	Data 0.001 (0.001)	Loss 1.6710 (1.8328)	Prec@1 56.250 (52.033)	Prec@5 85.156 (81.570)
Epoch: [72][10020/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 1.8795 (1.8327)	Prec@1 48.438 (52.034)	Prec@5 84.375 (81.571)
Epoch: [72][10030/14090]	Time 0.935 (0.766)	Data 0.001 (0.001)	Loss 2.0409 (1.8328)	Prec@1 44.531 (52.030)	Prec@5 82.812 (81.569)
Epoch: [72][10040/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 1.8024 (1.8328)	Prec@1 55.469 (52.030)	Prec@5 79.688 (81.570)
Epoch: [72][10050/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 1.7798 (1.8329)	Prec@1 50.781 (52.028)	Prec@5 83.594 (81.569)
Epoch: [72][10060/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 1.7634 (1.8329)	Prec@1 58.594 (52.031)	Prec@5 82.812 (81.570)
Epoch: [72][10070/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 1.7946 (1.8329)	Prec@1 50.781 (52.032)	Prec@5 78.906 (81.570)
Epoch: [72][10080/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 1.7818 (1.8329)	Prec@1 53.125 (52.033)	Prec@5 82.812 (81.569)
Epoch: [72][10090/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 1.9346 (1.8329)	Prec@1 48.438 (52.030)	Prec@5 77.344 (81.569)
Epoch: [72][10100/14090]	Time 0.855 (0.766)	Data 0.001 (0.001)	Loss 1.7200 (1.8328)	Prec@1 59.375 (52.031)	Prec@5 83.594 (81.570)
Epoch: [72][10110/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 1.9125 (1.8328)	Prec@1 52.344 (52.033)	Prec@5 78.906 (81.570)
Epoch: [72][10120/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 1.9925 (1.8329)	Prec@1 51.562 (52.033)	Prec@5 77.344 (81.569)
Epoch: [72][10130/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 1.9312 (1.8329)	Prec@1 54.688 (52.034)	Prec@5 78.125 (81.569)
Epoch: [72][10140/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 1.6478 (1.8330)	Prec@1 53.906 (52.031)	Prec@5 83.594 (81.568)
Epoch: [72][10150/14090]	Time 0.771 (0.766)	Data 0.001 (0.001)	Loss 1.9709 (1.8330)	Prec@1 47.656 (52.029)	Prec@5 79.688 (81.568)
Epoch: [72][10160/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 1.9318 (1.8331)	Prec@1 52.344 (52.029)	Prec@5 79.688 (81.566)
Epoch: [72][10170/14090]	Time 0.845 (0.766)	Data 0.001 (0.001)	Loss 1.9679 (1.8331)	Prec@1 46.875 (52.029)	Prec@5 78.906 (81.566)
Epoch: [72][10180/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 1.8404 (1.8331)	Prec@1 49.219 (52.030)	Prec@5 80.469 (81.567)
Epoch: [72][10190/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 1.8942 (1.8331)	Prec@1 48.438 (52.030)	Prec@5 77.344 (81.566)
Epoch: [72][10200/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 1.6058 (1.8332)	Prec@1 57.812 (52.028)	Prec@5 82.031 (81.566)
Epoch: [72][10210/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 1.8023 (1.8333)	Prec@1 51.562 (52.027)	Prec@5 83.594 (81.564)
Epoch: [72][10220/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 1.6680 (1.8333)	Prec@1 50.781 (52.028)	Prec@5 83.594 (81.566)
Epoch: [72][10230/14090]	Time 0.774 (0.766)	Data 0.001 (0.001)	Loss 1.9702 (1.8332)	Prec@1 47.656 (52.028)	Prec@5 78.906 (81.567)
Epoch: [72][10240/14090]	Time 0.879 (0.766)	Data 0.001 (0.001)	Loss 1.6915 (1.8332)	Prec@1 56.250 (52.028)	Prec@5 85.156 (81.567)
Epoch: [72][10250/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 1.8979 (1.8332)	Prec@1 45.312 (52.029)	Prec@5 82.031 (81.567)
Epoch: [72][10260/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 1.6734 (1.8331)	Prec@1 57.812 (52.031)	Prec@5 83.594 (81.569)
Epoch: [72][10270/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 1.9013 (1.8332)	Prec@1 46.094 (52.030)	Prec@5 83.594 (81.568)
Epoch: [72][10280/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 1.6674 (1.8333)	Prec@1 48.438 (52.027)	Prec@5 88.281 (81.566)
Epoch: [72][10290/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 1.8434 (1.8332)	Prec@1 57.812 (52.030)	Prec@5 81.250 (81.567)
Epoch: [72][10300/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 1.9157 (1.8333)	Prec@1 44.531 (52.028)	Prec@5 79.688 (81.565)
Epoch: [72][10310/14090]	Time 0.871 (0.766)	Data 0.001 (0.001)	Loss 1.6034 (1.8332)	Prec@1 57.031 (52.030)	Prec@5 86.719 (81.567)
Epoch: [72][10320/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 1.6665 (1.8332)	Prec@1 53.906 (52.029)	Prec@5 88.281 (81.566)
Epoch: [72][10330/14090]	Time 0.721 (0.766)	Data 0.001 (0.001)	Loss 1.8253 (1.8332)	Prec@1 56.250 (52.027)	Prec@5 82.031 (81.565)
Epoch: [72][10340/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 1.7552 (1.8332)	Prec@1 55.469 (52.027)	Prec@5 83.594 (81.566)
Epoch: [72][10350/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.1292 (1.8333)	Prec@1 46.875 (52.027)	Prec@5 78.906 (81.565)
Epoch: [72][10360/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 1.9392 (1.8332)	Prec@1 54.688 (52.028)	Prec@5 77.344 (81.566)
Epoch: [72][10370/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 1.8265 (1.8331)	Prec@1 54.688 (52.030)	Prec@5 82.031 (81.568)
Epoch: [72][10380/14090]	Time 0.830 (0.766)	Data 0.001 (0.001)	Loss 1.7573 (1.8331)	Prec@1 50.000 (52.029)	Prec@5 81.250 (81.567)
Epoch: [72][10390/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 1.9530 (1.8332)	Prec@1 49.219 (52.028)	Prec@5 83.594 (81.567)
Epoch: [72][10400/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 1.8992 (1.8333)	Prec@1 49.219 (52.025)	Prec@5 78.906 (81.564)
Epoch: [72][10410/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 1.8518 (1.8334)	Prec@1 50.000 (52.024)	Prec@5 82.812 (81.562)
Epoch: [72][10420/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.1650 (1.8335)	Prec@1 48.438 (52.023)	Prec@5 78.906 (81.561)
Epoch: [72][10430/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 1.5605 (1.8334)	Prec@1 59.375 (52.026)	Prec@5 87.500 (81.562)
Epoch: [72][10440/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.0819 (1.8334)	Prec@1 47.656 (52.025)	Prec@5 78.906 (81.562)
Epoch: [72][10450/14090]	Time 0.864 (0.766)	Data 0.001 (0.001)	Loss 2.0336 (1.8335)	Prec@1 47.656 (52.025)	Prec@5 78.125 (81.561)
Epoch: [72][10460/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 1.8936 (1.8334)	Prec@1 47.656 (52.026)	Prec@5 80.469 (81.561)
Epoch: [72][10470/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 1.7736 (1.8334)	Prec@1 59.375 (52.025)	Prec@5 82.812 (81.561)
Epoch: [72][10480/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 1.6297 (1.8334)	Prec@1 59.375 (52.026)	Prec@5 82.031 (81.559)
Epoch: [72][10490/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 1.7871 (1.8334)	Prec@1 52.344 (52.026)	Prec@5 83.594 (81.559)
Epoch: [72][10500/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 1.9726 (1.8334)	Prec@1 50.000 (52.025)	Prec@5 79.688 (81.559)
Epoch: [72][10510/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 1.9934 (1.8335)	Prec@1 48.438 (52.023)	Prec@5 78.125 (81.558)
Epoch: [72][10520/14090]	Time 0.850 (0.766)	Data 0.001 (0.001)	Loss 1.6585 (1.8335)	Prec@1 57.031 (52.022)	Prec@5 85.156 (81.558)
Epoch: [72][10530/14090]	Time 0.767 (0.766)	Data 0.001 (0.001)	Loss 1.7556 (1.8336)	Prec@1 46.875 (52.021)	Prec@5 82.812 (81.556)
Epoch: [72][10540/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 1.8539 (1.8335)	Prec@1 51.562 (52.021)	Prec@5 81.250 (81.557)
Epoch: [72][10550/14090]	Time 0.768 (0.766)	Data 0.001 (0.001)	Loss 2.0322 (1.8336)	Prec@1 42.188 (52.019)	Prec@5 78.125 (81.556)
Epoch: [72][10560/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 1.7692 (1.8336)	Prec@1 53.125 (52.019)	Prec@5 80.469 (81.555)
Epoch: [72][10570/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 1.6976 (1.8337)	Prec@1 52.344 (52.017)	Prec@5 80.469 (81.555)
Epoch: [72][10580/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 1.8172 (1.8337)	Prec@1 53.906 (52.018)	Prec@5 80.469 (81.555)
Epoch: [72][10590/14090]	Time 0.829 (0.766)	Data 0.001 (0.001)	Loss 1.7865 (1.8337)	Prec@1 54.688 (52.017)	Prec@5 81.250 (81.554)
Epoch: [72][10600/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 1.7452 (1.8336)	Prec@1 54.688 (52.018)	Prec@5 79.688 (81.554)
Epoch: [72][10610/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 1.6259 (1.8336)	Prec@1 59.375 (52.019)	Prec@5 87.500 (81.555)
Epoch: [72][10620/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 1.7489 (1.8336)	Prec@1 50.781 (52.018)	Prec@5 85.156 (81.555)
Epoch: [72][10630/14090]	Time 0.778 (0.766)	Data 0.002 (0.001)	Loss 1.7321 (1.8336)	Prec@1 54.688 (52.019)	Prec@5 80.469 (81.557)
Epoch: [72][10640/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 1.7206 (1.8335)	Prec@1 54.688 (52.021)	Prec@5 82.031 (81.558)
Epoch: [72][10650/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 1.7921 (1.8335)	Prec@1 46.875 (52.018)	Prec@5 82.031 (81.558)
Epoch: [72][10660/14090]	Time 0.862 (0.766)	Data 0.001 (0.001)	Loss 1.6480 (1.8334)	Prec@1 56.250 (52.020)	Prec@5 85.938 (81.559)
Epoch: [72][10670/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.1417 (1.8335)	Prec@1 49.219 (52.019)	Prec@5 76.562 (81.559)
Epoch: [72][10680/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 1.8797 (1.8335)	Prec@1 52.344 (52.019)	Prec@5 86.719 (81.560)
Epoch: [72][10690/14090]	Time 0.778 (0.766)	Data 0.001 (0.001)	Loss 2.1725 (1.8335)	Prec@1 53.906 (52.020)	Prec@5 82.812 (81.561)
Epoch: [72][10700/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 1.9797 (1.8335)	Prec@1 46.094 (52.019)	Prec@5 80.469 (81.561)
Epoch: [72][10710/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.0154 (1.8335)	Prec@1 50.781 (52.019)	Prec@5 75.781 (81.561)
Epoch: [72][10720/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 1.9250 (1.8336)	Prec@1 50.781 (52.018)	Prec@5 82.812 (81.562)
Epoch: [72][10730/14090]	Time 0.878 (0.766)	Data 0.001 (0.001)	Loss 1.8652 (1.8336)	Prec@1 52.344 (52.017)	Prec@5 82.031 (81.562)
Epoch: [72][10740/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 1.6561 (1.8336)	Prec@1 57.812 (52.017)	Prec@5 83.594 (81.562)
Epoch: [72][10750/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 1.9522 (1.8336)	Prec@1 48.438 (52.017)	Prec@5 78.906 (81.562)
Epoch: [72][10760/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 1.7718 (1.8337)	Prec@1 53.906 (52.016)	Prec@5 84.375 (81.562)
Epoch: [72][10770/14090]	Time 0.723 (0.766)	Data 0.001 (0.001)	Loss 1.6162 (1.8336)	Prec@1 62.500 (52.018)	Prec@5 84.375 (81.563)
Epoch: [72][10780/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 1.5334 (1.8336)	Prec@1 63.281 (52.016)	Prec@5 87.500 (81.563)
Epoch: [72][10790/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 1.8316 (1.8337)	Prec@1 53.125 (52.015)	Prec@5 82.812 (81.563)
Epoch: [72][10800/14090]	Time 0.869 (0.766)	Data 0.001 (0.001)	Loss 1.6776 (1.8337)	Prec@1 57.812 (52.014)	Prec@5 80.469 (81.563)
Epoch: [72][10810/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 1.8024 (1.8336)	Prec@1 51.562 (52.014)	Prec@5 81.250 (81.563)
Epoch: [72][10820/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.0522 (1.8337)	Prec@1 46.875 (52.013)	Prec@5 79.688 (81.561)
Epoch: [72][10830/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 1.8147 (1.8337)	Prec@1 48.438 (52.012)	Prec@5 84.375 (81.560)
Epoch: [72][10840/14090]	Time 0.773 (0.766)	Data 0.001 (0.001)	Loss 1.9480 (1.8337)	Prec@1 50.000 (52.011)	Prec@5 77.344 (81.560)
Epoch: [72][10850/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.0483 (1.8338)	Prec@1 46.875 (52.011)	Prec@5 79.688 (81.560)
Epoch: [72][10860/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 1.8842 (1.8337)	Prec@1 59.375 (52.013)	Prec@5 82.031 (81.560)
Epoch: [72][10870/14090]	Time 0.862 (0.766)	Data 0.001 (0.001)	Loss 1.7727 (1.8337)	Prec@1 56.250 (52.013)	Prec@5 82.031 (81.559)
Epoch: [72][10880/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 1.6811 (1.8338)	Prec@1 56.250 (52.010)	Prec@5 83.594 (81.558)
Epoch: [72][10890/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 1.6721 (1.8338)	Prec@1 54.688 (52.008)	Prec@5 82.812 (81.557)
Epoch: [72][10900/14090]	Time 0.771 (0.766)	Data 0.001 (0.001)	Loss 1.6327 (1.8338)	Prec@1 57.031 (52.007)	Prec@5 83.594 (81.556)
Epoch: [72][10910/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 1.9403 (1.8338)	Prec@1 50.000 (52.009)	Prec@5 83.594 (81.557)
Epoch: [72][10920/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 1.8581 (1.8338)	Prec@1 47.656 (52.008)	Prec@5 82.812 (81.557)
Epoch: [72][10930/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 1.5697 (1.8338)	Prec@1 60.938 (52.008)	Prec@5 89.062 (81.557)
Epoch: [72][10940/14090]	Time 0.847 (0.766)	Data 0.001 (0.001)	Loss 2.0721 (1.8338)	Prec@1 46.875 (52.008)	Prec@5 77.344 (81.557)
Epoch: [72][10950/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 1.8640 (1.8338)	Prec@1 58.594 (52.008)	Prec@5 79.688 (81.557)
Epoch: [72][10960/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 1.7637 (1.8338)	Prec@1 57.031 (52.009)	Prec@5 78.906 (81.558)
Epoch: [72][10970/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 1.9914 (1.8338)	Prec@1 46.875 (52.007)	Prec@5 78.125 (81.557)
Epoch: [72][10980/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 1.6298 (1.8338)	Prec@1 55.469 (52.008)	Prec@5 82.031 (81.557)
Epoch: [72][10990/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 1.8116 (1.8338)	Prec@1 51.562 (52.010)	Prec@5 82.812 (81.558)
Epoch: [72][11000/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 1.9734 (1.8338)	Prec@1 47.656 (52.010)	Prec@5 81.250 (81.559)
Epoch: [72][11010/14090]	Time 0.871 (0.766)	Data 0.001 (0.001)	Loss 1.7488 (1.8338)	Prec@1 50.781 (52.008)	Prec@5 85.156 (81.557)
Epoch: [72][11020/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 1.7041 (1.8339)	Prec@1 55.469 (52.009)	Prec@5 82.031 (81.557)
Epoch: [72][11030/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 1.8771 (1.8339)	Prec@1 52.344 (52.008)	Prec@5 80.469 (81.557)
Epoch: [72][11040/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.3067 (1.8339)	Prec@1 43.750 (52.008)	Prec@5 75.000 (81.557)
Epoch: [72][11050/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 1.9080 (1.8340)	Prec@1 53.906 (52.007)	Prec@5 82.812 (81.555)
Epoch: [72][11060/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 1.9816 (1.8340)	Prec@1 48.438 (52.006)	Prec@5 78.125 (81.555)
Epoch: [72][11070/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 1.9754 (1.8340)	Prec@1 46.094 (52.005)	Prec@5 82.031 (81.555)
Epoch: [72][11080/14090]	Time 0.857 (0.766)	Data 0.001 (0.001)	Loss 1.5835 (1.8339)	Prec@1 54.688 (52.005)	Prec@5 83.594 (81.556)
Epoch: [72][11090/14090]	Time 0.723 (0.766)	Data 0.001 (0.001)	Loss 1.4645 (1.8339)	Prec@1 57.031 (52.005)	Prec@5 85.938 (81.556)
Epoch: [72][11100/14090]	Time 0.770 (0.766)	Data 0.001 (0.001)	Loss 2.2858 (1.8340)	Prec@1 35.938 (52.002)	Prec@5 72.656 (81.555)
Epoch: [72][11110/14090]	Time 0.774 (0.766)	Data 0.001 (0.001)	Loss 1.9127 (1.8340)	Prec@1 51.562 (52.001)	Prec@5 80.469 (81.555)
Epoch: [72][11120/14090]	Time 0.775 (0.766)	Data 0.001 (0.001)	Loss 1.9272 (1.8340)	Prec@1 52.344 (52.001)	Prec@5 79.688 (81.555)
Epoch: [72][11130/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 1.8899 (1.8341)	Prec@1 47.656 (51.999)	Prec@5 79.688 (81.555)
Epoch: [72][11140/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 1.9337 (1.8341)	Prec@1 53.906 (51.999)	Prec@5 82.031 (81.555)
Epoch: [72][11150/14090]	Time 0.872 (0.766)	Data 0.001 (0.001)	Loss 1.9212 (1.8341)	Prec@1 50.781 (51.998)	Prec@5 82.031 (81.555)
Epoch: [72][11160/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 1.8925 (1.8341)	Prec@1 50.781 (51.997)	Prec@5 80.469 (81.555)
Epoch: [72][11170/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 1.8165 (1.8341)	Prec@1 54.688 (51.999)	Prec@5 80.469 (81.555)
Epoch: [72][11180/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 1.9057 (1.8340)	Prec@1 48.438 (52.000)	Prec@5 78.906 (81.556)
Epoch: [72][11190/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.0989 (1.8339)	Prec@1 46.875 (52.003)	Prec@5 78.125 (81.556)
Epoch: [72][11200/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 1.8959 (1.8340)	Prec@1 50.000 (52.002)	Prec@5 82.812 (81.555)
Epoch: [72][11210/14090]	Time 0.722 (0.766)	Data 0.001 (0.001)	Loss 1.9859 (1.8340)	Prec@1 51.562 (52.001)	Prec@5 76.562 (81.555)
Epoch: [72][11220/14090]	Time 0.891 (0.766)	Data 0.001 (0.001)	Loss 1.8663 (1.8340)	Prec@1 52.344 (52.003)	Prec@5 79.688 (81.555)
Epoch: [72][11230/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 1.6790 (1.8340)	Prec@1 57.031 (52.004)	Prec@5 85.156 (81.555)
Epoch: [72][11240/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 1.9054 (1.8340)	Prec@1 49.219 (52.003)	Prec@5 79.688 (81.555)
Epoch: [72][11250/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 2.0085 (1.8341)	Prec@1 47.656 (52.002)	Prec@5 75.781 (81.554)
Epoch: [72][11260/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 1.8041 (1.8340)	Prec@1 55.469 (52.002)	Prec@5 82.031 (81.554)
Epoch: [72][11270/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 1.7665 (1.8340)	Prec@1 57.812 (52.003)	Prec@5 87.500 (81.555)
Epoch: [72][11280/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 2.0861 (1.8341)	Prec@1 44.531 (52.000)	Prec@5 76.562 (81.554)
Epoch: [72][11290/14090]	Time 0.842 (0.766)	Data 0.001 (0.001)	Loss 1.7362 (1.8341)	Prec@1 50.000 (52.000)	Prec@5 84.375 (81.553)
Epoch: [72][11300/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 1.9538 (1.8341)	Prec@1 55.469 (52.000)	Prec@5 78.125 (81.552)
Epoch: [72][11310/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 1.7993 (1.8341)	Prec@1 50.000 (52.001)	Prec@5 82.812 (81.553)
Epoch: [72][11320/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 1.8148 (1.8341)	Prec@1 55.469 (52.000)	Prec@5 78.906 (81.553)
Epoch: [72][11330/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 1.9510 (1.8342)	Prec@1 50.781 (51.997)	Prec@5 80.469 (81.551)
Epoch: [72][11340/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 1.6683 (1.8342)	Prec@1 59.375 (51.998)	Prec@5 82.812 (81.552)
Epoch: [72][11350/14090]	Time 0.762 (0.766)	Data 0.002 (0.001)	Loss 1.9350 (1.8342)	Prec@1 54.688 (51.998)	Prec@5 78.125 (81.551)
Epoch: [72][11360/14090]	Time 0.862 (0.766)	Data 0.001 (0.001)	Loss 1.4290 (1.8342)	Prec@1 58.594 (51.998)	Prec@5 90.625 (81.550)
Epoch: [72][11370/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 1.7375 (1.8342)	Prec@1 51.562 (51.999)	Prec@5 83.594 (81.551)
Epoch: [72][11380/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 1.6564 (1.8342)	Prec@1 55.469 (51.998)	Prec@5 82.031 (81.549)
Epoch: [72][11390/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 1.6576 (1.8342)	Prec@1 52.344 (51.998)	Prec@5 85.938 (81.549)
Epoch: [72][11400/14090]	Time 0.776 (0.766)	Data 0.001 (0.001)	Loss 1.8500 (1.8343)	Prec@1 44.531 (51.997)	Prec@5 85.156 (81.548)
Epoch: [72][11410/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 1.6812 (1.8343)	Prec@1 53.906 (51.996)	Prec@5 82.812 (81.548)
Epoch: [72][11420/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 1.6699 (1.8343)	Prec@1 54.688 (51.997)	Prec@5 82.812 (81.547)
Epoch: [72][11430/14090]	Time 0.875 (0.766)	Data 0.001 (0.001)	Loss 1.8735 (1.8343)	Prec@1 51.562 (51.999)	Prec@5 82.812 (81.546)
Epoch: [72][11440/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 1.8480 (1.8344)	Prec@1 53.906 (51.996)	Prec@5 79.688 (81.545)
Epoch: [72][11450/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 1.6301 (1.8344)	Prec@1 57.031 (51.995)	Prec@5 83.594 (81.545)
Epoch: [72][11460/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.1116 (1.8345)	Prec@1 50.781 (51.995)	Prec@5 79.688 (81.545)
Epoch: [72][11470/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 1.7573 (1.8345)	Prec@1 57.031 (51.994)	Prec@5 83.594 (81.545)
Epoch: [72][11480/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.1101 (1.8345)	Prec@1 39.844 (51.996)	Prec@5 78.906 (81.545)
Epoch: [72][11490/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 1.5575 (1.8344)	Prec@1 57.031 (51.997)	Prec@5 85.156 (81.546)
Epoch: [72][11500/14090]	Time 0.870 (0.766)	Data 0.001 (0.001)	Loss 1.9145 (1.8345)	Prec@1 49.219 (51.996)	Prec@5 78.906 (81.545)
Epoch: [72][11510/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 1.9465 (1.8345)	Prec@1 52.344 (51.995)	Prec@5 78.906 (81.544)
Epoch: [72][11520/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.1144 (1.8345)	Prec@1 49.219 (51.995)	Prec@5 75.781 (81.544)
Epoch: [72][11530/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.0153 (1.8345)	Prec@1 53.125 (51.996)	Prec@5 78.906 (81.543)
Epoch: [72][11540/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 1.7038 (1.8345)	Prec@1 55.469 (51.996)	Prec@5 85.156 (81.544)
Epoch: [72][11550/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 1.4274 (1.8344)	Prec@1 64.062 (51.997)	Prec@5 84.375 (81.545)
Epoch: [72][11560/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 1.5991 (1.8344)	Prec@1 57.031 (51.997)	Prec@5 87.500 (81.546)
Epoch: [72][11570/14090]	Time 0.893 (0.766)	Data 0.001 (0.001)	Loss 1.8287 (1.8344)	Prec@1 49.219 (51.996)	Prec@5 83.594 (81.545)
Epoch: [72][11580/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 1.5953 (1.8343)	Prec@1 52.344 (51.998)	Prec@5 85.938 (81.547)
Epoch: [72][11590/14090]	Time 0.779 (0.766)	Data 0.001 (0.001)	Loss 2.2456 (1.8344)	Prec@1 43.750 (51.996)	Prec@5 73.438 (81.545)
Epoch: [72][11600/14090]	Time 0.732 (0.766)	Data 0.002 (0.001)	Loss 1.5886 (1.8344)	Prec@1 60.938 (51.998)	Prec@5 84.375 (81.547)
Epoch: [72][11610/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 1.8387 (1.8344)	Prec@1 49.219 (51.997)	Prec@5 81.250 (81.547)
Epoch: [72][11620/14090]	Time 0.719 (0.766)	Data 0.001 (0.001)	Loss 1.9345 (1.8345)	Prec@1 50.000 (51.996)	Prec@5 79.688 (81.545)
Epoch: [72][11630/14090]	Time 0.770 (0.766)	Data 0.001 (0.001)	Loss 1.8670 (1.8346)	Prec@1 57.031 (51.994)	Prec@5 81.250 (81.544)
Epoch: [72][11640/14090]	Time 0.892 (0.766)	Data 0.001 (0.001)	Loss 1.9378 (1.8346)	Prec@1 53.125 (51.994)	Prec@5 80.469 (81.543)
Epoch: [72][11650/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 1.7272 (1.8346)	Prec@1 58.594 (51.993)	Prec@5 85.156 (81.542)
Epoch: [72][11660/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 1.7863 (1.8346)	Prec@1 50.000 (51.992)	Prec@5 86.719 (81.542)
Epoch: [72][11670/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 1.8235 (1.8347)	Prec@1 57.031 (51.993)	Prec@5 79.688 (81.542)
Epoch: [72][11680/14090]	Time 0.722 (0.766)	Data 0.001 (0.001)	Loss 2.2093 (1.8347)	Prec@1 39.062 (51.992)	Prec@5 74.219 (81.542)
Epoch: [72][11690/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 1.8492 (1.8348)	Prec@1 48.438 (51.990)	Prec@5 81.250 (81.543)
Epoch: [72][11700/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 1.6144 (1.8347)	Prec@1 53.125 (51.990)	Prec@5 88.281 (81.543)
Epoch: [72][11710/14090]	Time 0.899 (0.766)	Data 0.001 (0.001)	Loss 2.0137 (1.8348)	Prec@1 46.875 (51.989)	Prec@5 82.812 (81.543)
Epoch: [72][11720/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 1.8524 (1.8348)	Prec@1 57.031 (51.988)	Prec@5 79.688 (81.542)
Epoch: [72][11730/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 2.3996 (1.8350)	Prec@1 39.062 (51.984)	Prec@5 74.219 (81.540)
Epoch: [72][11740/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 1.7850 (1.8350)	Prec@1 53.906 (51.983)	Prec@5 83.594 (81.540)
Epoch: [72][11750/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 1.9754 (1.8350)	Prec@1 54.688 (51.982)	Prec@5 78.906 (81.539)
Epoch: [72][11760/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 2.1729 (1.8351)	Prec@1 46.094 (51.981)	Prec@5 75.000 (81.538)
Epoch: [72][11770/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 1.7148 (1.8351)	Prec@1 52.344 (51.981)	Prec@5 83.594 (81.537)
Epoch: [72][11780/14090]	Time 0.877 (0.766)	Data 0.001 (0.001)	Loss 2.1846 (1.8351)	Prec@1 47.656 (51.982)	Prec@5 75.781 (81.537)
Epoch: [72][11790/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 1.9751 (1.8352)	Prec@1 46.875 (51.981)	Prec@5 77.344 (81.535)
Epoch: [72][11800/14090]	Time 0.775 (0.766)	Data 0.001 (0.001)	Loss 2.0063 (1.8353)	Prec@1 53.906 (51.981)	Prec@5 75.781 (81.533)
Epoch: [72][11810/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 1.5117 (1.8353)	Prec@1 56.250 (51.981)	Prec@5 89.062 (81.532)
Epoch: [72][11820/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 1.6042 (1.8354)	Prec@1 58.594 (51.981)	Prec@5 81.250 (81.531)
Epoch: [72][11830/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 1.5763 (1.8353)	Prec@1 60.156 (51.983)	Prec@5 86.719 (81.533)
Epoch: [72][11840/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 1.6610 (1.8353)	Prec@1 58.594 (51.984)	Prec@5 84.375 (81.533)
Epoch: [72][11850/14090]	Time 0.904 (0.766)	Data 0.001 (0.001)	Loss 1.7761 (1.8353)	Prec@1 55.469 (51.984)	Prec@5 82.812 (81.532)
Epoch: [72][11860/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 1.5291 (1.8352)	Prec@1 58.594 (51.985)	Prec@5 88.281 (81.533)
Epoch: [72][11870/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 1.8136 (1.8352)	Prec@1 48.438 (51.984)	Prec@5 83.594 (81.533)
Epoch: [72][11880/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 1.9574 (1.8352)	Prec@1 51.562 (51.984)	Prec@5 77.344 (81.532)
Epoch: [72][11890/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 1.8472 (1.8352)	Prec@1 55.469 (51.985)	Prec@5 81.250 (81.531)
Epoch: [72][11900/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.0673 (1.8353)	Prec@1 48.438 (51.982)	Prec@5 77.344 (81.530)
Epoch: [72][11910/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 1.6822 (1.8352)	Prec@1 55.469 (51.983)	Prec@5 85.156 (81.531)
Epoch: [72][11920/14090]	Time 0.864 (0.766)	Data 0.001 (0.001)	Loss 2.0094 (1.8352)	Prec@1 48.438 (51.985)	Prec@5 78.125 (81.530)
Epoch: [72][11930/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 1.8390 (1.8353)	Prec@1 54.688 (51.986)	Prec@5 83.594 (81.529)
Epoch: [72][11940/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 1.6807 (1.8353)	Prec@1 57.031 (51.987)	Prec@5 81.250 (81.529)
Epoch: [72][11950/14090]	Time 0.778 (0.766)	Data 0.001 (0.001)	Loss 1.9940 (1.8353)	Prec@1 44.531 (51.986)	Prec@5 79.688 (81.528)
Epoch: [72][11960/14090]	Time 0.795 (0.766)	Data 0.001 (0.001)	Loss 1.6197 (1.8353)	Prec@1 56.250 (51.988)	Prec@5 86.719 (81.529)
Epoch: [72][11970/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 1.7179 (1.8352)	Prec@1 56.250 (51.989)	Prec@5 88.281 (81.530)
Epoch: [72][11980/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 1.8034 (1.8353)	Prec@1 54.688 (51.987)	Prec@5 82.812 (81.529)
Epoch: [72][11990/14090]	Time 0.925 (0.766)	Data 0.001 (0.001)	Loss 1.8810 (1.8353)	Prec@1 50.781 (51.986)	Prec@5 78.125 (81.529)
Epoch: [72][12000/14090]	Time 0.767 (0.766)	Data 0.001 (0.001)	Loss 1.8646 (1.8354)	Prec@1 50.000 (51.984)	Prec@5 78.125 (81.528)
Epoch: [72][12010/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 1.7417 (1.8354)	Prec@1 53.125 (51.984)	Prec@5 82.812 (81.526)
Epoch: [72][12020/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 1.6520 (1.8354)	Prec@1 57.812 (51.985)	Prec@5 85.156 (81.526)
Epoch: [72][12030/14090]	Time 0.768 (0.766)	Data 0.001 (0.001)	Loss 1.9052 (1.8354)	Prec@1 48.438 (51.983)	Prec@5 84.375 (81.527)
Epoch: [72][12040/14090]	Time 0.771 (0.766)	Data 0.001 (0.001)	Loss 1.8942 (1.8354)	Prec@1 51.562 (51.982)	Prec@5 82.031 (81.528)
Epoch: [72][12050/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.1236 (1.8354)	Prec@1 40.625 (51.983)	Prec@5 78.125 (81.529)
Epoch: [72][12060/14090]	Time 0.875 (0.766)	Data 0.001 (0.001)	Loss 1.9725 (1.8355)	Prec@1 51.562 (51.980)	Prec@5 78.125 (81.526)
Epoch: [72][12070/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 1.5417 (1.8355)	Prec@1 62.500 (51.981)	Prec@5 89.062 (81.527)
Epoch: [72][12080/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 1.7972 (1.8355)	Prec@1 50.000 (51.981)	Prec@5 81.250 (81.527)
Epoch: [72][12090/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 1.7273 (1.8355)	Prec@1 52.344 (51.980)	Prec@5 88.281 (81.527)
Epoch: [72][12100/14090]	Time 0.774 (0.766)	Data 0.001 (0.001)	Loss 1.6429 (1.8354)	Prec@1 55.469 (51.984)	Prec@5 84.375 (81.527)
Epoch: [72][12110/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 1.9714 (1.8354)	Prec@1 53.125 (51.985)	Prec@5 77.344 (81.528)
Epoch: [72][12120/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 1.8484 (1.8354)	Prec@1 50.781 (51.984)	Prec@5 78.906 (81.528)
Epoch: [72][12130/14090]	Time 0.864 (0.766)	Data 0.001 (0.001)	Loss 1.8195 (1.8354)	Prec@1 51.562 (51.985)	Prec@5 80.469 (81.528)
Epoch: [72][12140/14090]	Time 0.793 (0.766)	Data 0.001 (0.001)	Loss 1.8958 (1.8354)	Prec@1 53.906 (51.986)	Prec@5 79.688 (81.528)
Epoch: [72][12150/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 1.9731 (1.8355)	Prec@1 53.125 (51.985)	Prec@5 79.688 (81.526)
Epoch: [72][12160/14090]	Time 0.773 (0.766)	Data 0.002 (0.001)	Loss 1.9800 (1.8354)	Prec@1 46.875 (51.984)	Prec@5 75.781 (81.526)
Epoch: [72][12170/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 1.8202 (1.8355)	Prec@1 43.750 (51.982)	Prec@5 80.469 (81.525)
Epoch: [72][12180/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 1.9389 (1.8355)	Prec@1 44.531 (51.981)	Prec@5 82.812 (81.526)
Epoch: [72][12190/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.0855 (1.8356)	Prec@1 46.094 (51.981)	Prec@5 77.344 (81.524)
Epoch: [72][12200/14090]	Time 0.870 (0.766)	Data 0.001 (0.001)	Loss 1.8025 (1.8356)	Prec@1 51.562 (51.979)	Prec@5 84.375 (81.523)
Epoch: [72][12210/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 1.4178 (1.8356)	Prec@1 64.844 (51.979)	Prec@5 86.719 (81.522)
Epoch: [72][12220/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 1.8696 (1.8356)	Prec@1 50.781 (51.980)	Prec@5 80.469 (81.521)
Epoch: [72][12230/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 2.0456 (1.8357)	Prec@1 46.094 (51.981)	Prec@5 78.906 (81.520)
Epoch: [72][12240/14090]	Time 0.768 (0.766)	Data 0.001 (0.001)	Loss 1.8361 (1.8357)	Prec@1 51.562 (51.981)	Prec@5 82.031 (81.520)
Epoch: [72][12250/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 1.7276 (1.8357)	Prec@1 51.562 (51.980)	Prec@5 85.938 (81.519)
Epoch: [72][12260/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.0131 (1.8357)	Prec@1 46.875 (51.980)	Prec@5 78.906 (81.519)
Epoch: [72][12270/14090]	Time 0.873 (0.766)	Data 0.001 (0.001)	Loss 1.9533 (1.8357)	Prec@1 49.219 (51.982)	Prec@5 82.031 (81.520)
Epoch: [72][12280/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 1.6674 (1.8356)	Prec@1 56.250 (51.983)	Prec@5 81.250 (81.519)
Epoch: [72][12290/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 1.8630 (1.8355)	Prec@1 57.031 (51.986)	Prec@5 78.906 (81.521)
Epoch: [72][12300/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 1.7362 (1.8355)	Prec@1 53.906 (51.987)	Prec@5 83.594 (81.521)
Epoch: [72][12310/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 1.7964 (1.8355)	Prec@1 54.688 (51.988)	Prec@5 83.594 (81.522)
Epoch: [72][12320/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 1.9566 (1.8355)	Prec@1 48.438 (51.988)	Prec@5 82.812 (81.522)
Epoch: [72][12330/14090]	Time 0.724 (0.766)	Data 0.001 (0.001)	Loss 2.0649 (1.8356)	Prec@1 50.000 (51.988)	Prec@5 76.562 (81.522)
Epoch: [72][12340/14090]	Time 0.889 (0.766)	Data 0.001 (0.001)	Loss 1.9371 (1.8356)	Prec@1 48.438 (51.988)	Prec@5 80.469 (81.522)
Epoch: [72][12350/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 1.6224 (1.8355)	Prec@1 59.375 (51.990)	Prec@5 85.156 (81.522)
Epoch: [72][12360/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.0352 (1.8355)	Prec@1 46.094 (51.989)	Prec@5 75.000 (81.523)
Epoch: [72][12370/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 1.6277 (1.8356)	Prec@1 50.781 (51.987)	Prec@5 85.156 (81.524)
Epoch: [72][12380/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 1.9186 (1.8355)	Prec@1 51.562 (51.988)	Prec@5 78.906 (81.525)
Epoch: [72][12390/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 1.9672 (1.8356)	Prec@1 53.125 (51.988)	Prec@5 77.344 (81.524)
Epoch: [72][12400/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 1.9621 (1.8356)	Prec@1 45.312 (51.987)	Prec@5 80.469 (81.523)
Epoch: [72][12410/14090]	Time 0.847 (0.766)	Data 0.001 (0.001)	Loss 2.3234 (1.8356)	Prec@1 44.531 (51.986)	Prec@5 73.438 (81.523)
Epoch: [72][12420/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 1.8250 (1.8356)	Prec@1 53.906 (51.986)	Prec@5 81.250 (81.524)
Epoch: [72][12430/14090]	Time 0.776 (0.766)	Data 0.001 (0.001)	Loss 1.8825 (1.8357)	Prec@1 46.875 (51.985)	Prec@5 81.250 (81.524)
Epoch: [72][12440/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 1.9118 (1.8358)	Prec@1 50.000 (51.982)	Prec@5 84.375 (81.522)
Epoch: [72][12450/14090]	Time 0.768 (0.766)	Data 0.001 (0.001)	Loss 1.8685 (1.8358)	Prec@1 53.125 (51.982)	Prec@5 79.688 (81.521)
Epoch: [72][12460/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 1.6538 (1.8358)	Prec@1 57.812 (51.983)	Prec@5 84.375 (81.523)
Epoch: [72][12470/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 1.7535 (1.8358)	Prec@1 54.688 (51.982)	Prec@5 82.031 (81.523)
Epoch: [72][12480/14090]	Time 0.893 (0.766)	Data 0.001 (0.001)	Loss 1.9837 (1.8357)	Prec@1 40.625 (51.981)	Prec@5 81.250 (81.524)
Epoch: [72][12490/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 1.9920 (1.8358)	Prec@1 49.219 (51.981)	Prec@5 80.469 (81.523)
Epoch: [72][12500/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 1.6890 (1.8357)	Prec@1 56.250 (51.982)	Prec@5 83.594 (81.525)
Epoch: [72][12510/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 1.7462 (1.8357)	Prec@1 57.031 (51.982)	Prec@5 84.375 (81.525)
Epoch: [72][12520/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.1168 (1.8358)	Prec@1 47.656 (51.981)	Prec@5 74.219 (81.523)
Epoch: [72][12530/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 1.9904 (1.8358)	Prec@1 48.438 (51.983)	Prec@5 78.125 (81.524)
Epoch: [72][12540/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.0315 (1.8358)	Prec@1 47.656 (51.981)	Prec@5 77.344 (81.523)
Epoch: [72][12550/14090]	Time 0.862 (0.766)	Data 0.001 (0.001)	Loss 1.6807 (1.8358)	Prec@1 57.812 (51.982)	Prec@5 83.594 (81.522)
Epoch: [72][12560/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 1.9018 (1.8358)	Prec@1 48.438 (51.981)	Prec@5 79.688 (81.522)
Epoch: [72][12570/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 1.8218 (1.8358)	Prec@1 53.125 (51.982)	Prec@5 82.031 (81.522)
Epoch: [72][12580/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 1.9596 (1.8358)	Prec@1 49.219 (51.982)	Prec@5 84.375 (81.523)
Epoch: [72][12590/14090]	Time 0.749 (0.766)	Data 0.003 (0.001)	Loss 1.6437 (1.8359)	Prec@1 54.688 (51.981)	Prec@5 86.719 (81.523)
Epoch: [72][12600/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 1.6944 (1.8358)	Prec@1 52.344 (51.982)	Prec@5 82.812 (81.525)
Epoch: [72][12610/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 1.8061 (1.8358)	Prec@1 54.688 (51.981)	Prec@5 79.688 (81.524)
Epoch: [72][12620/14090]	Time 0.884 (0.766)	Data 0.001 (0.001)	Loss 1.6625 (1.8358)	Prec@1 59.375 (51.982)	Prec@5 86.719 (81.524)
Epoch: [72][12630/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.0750 (1.8359)	Prec@1 46.094 (51.980)	Prec@5 75.000 (81.523)
Epoch: [72][12640/14090]	Time 0.739 (0.766)	Data 0.002 (0.001)	Loss 1.6635 (1.8359)	Prec@1 52.344 (51.981)	Prec@5 85.938 (81.524)
Epoch: [72][12650/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.1456 (1.8359)	Prec@1 46.094 (51.981)	Prec@5 78.906 (81.524)
Epoch: [72][12660/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 1.9238 (1.8359)	Prec@1 51.562 (51.980)	Prec@5 79.688 (81.523)
Epoch: [72][12670/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 1.9410 (1.8359)	Prec@1 46.875 (51.981)	Prec@5 81.250 (81.523)
Epoch: [72][12680/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 1.8033 (1.8360)	Prec@1 52.344 (51.978)	Prec@5 80.469 (81.521)
Epoch: [72][12690/14090]	Time 0.856 (0.766)	Data 0.001 (0.001)	Loss 2.0724 (1.8360)	Prec@1 47.656 (51.977)	Prec@5 78.125 (81.520)
Epoch: [72][12700/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 1.7452 (1.8360)	Prec@1 54.688 (51.978)	Prec@5 80.469 (81.521)
Epoch: [72][12710/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 1.8496 (1.8360)	Prec@1 53.906 (51.977)	Prec@5 80.469 (81.520)
Epoch: [72][12720/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 1.6438 (1.8360)	Prec@1 56.250 (51.978)	Prec@5 84.375 (81.521)
Epoch: [72][12730/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 1.9589 (1.8361)	Prec@1 49.219 (51.977)	Prec@5 80.469 (81.520)
Epoch: [72][12740/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 1.8440 (1.8361)	Prec@1 51.562 (51.978)	Prec@5 82.812 (81.520)
Epoch: [72][12750/14090]	Time 0.770 (0.766)	Data 0.001 (0.001)	Loss 1.9032 (1.8362)	Prec@1 51.562 (51.977)	Prec@5 82.031 (81.518)
Epoch: [72][12760/14090]	Time 0.881 (0.766)	Data 0.001 (0.001)	Loss 1.9610 (1.8361)	Prec@1 47.656 (51.978)	Prec@5 82.812 (81.519)
Epoch: [72][12770/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 1.8046 (1.8361)	Prec@1 51.562 (51.979)	Prec@5 81.250 (81.518)
Epoch: [72][12780/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.0143 (1.8362)	Prec@1 50.000 (51.980)	Prec@5 78.125 (81.517)
Epoch: [72][12790/14090]	Time 0.763 (0.766)	Data 0.002 (0.001)	Loss 1.7549 (1.8361)	Prec@1 54.688 (51.980)	Prec@5 80.469 (81.517)
Epoch: [72][12800/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 1.9028 (1.8362)	Prec@1 50.781 (51.981)	Prec@5 77.344 (81.516)
Epoch: [72][12810/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 1.7474 (1.8361)	Prec@1 55.469 (51.983)	Prec@5 82.812 (81.517)
Epoch: [72][12820/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 1.7340 (1.8361)	Prec@1 52.344 (51.983)	Prec@5 79.688 (81.516)
Epoch: [72][12830/14090]	Time 0.900 (0.766)	Data 0.001 (0.001)	Loss 1.7093 (1.8361)	Prec@1 50.781 (51.982)	Prec@5 82.812 (81.518)
Epoch: [72][12840/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 1.7788 (1.8361)	Prec@1 53.125 (51.982)	Prec@5 82.031 (81.517)
Epoch: [72][12850/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 2.0287 (1.8362)	Prec@1 46.094 (51.982)	Prec@5 78.906 (81.516)
Epoch: [72][12860/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 1.9035 (1.8361)	Prec@1 48.438 (51.982)	Prec@5 81.250 (81.517)
Epoch: [72][12870/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 2.0677 (1.8361)	Prec@1 47.656 (51.981)	Prec@5 75.000 (81.515)
Epoch: [72][12880/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.0561 (1.8362)	Prec@1 45.312 (51.980)	Prec@5 77.344 (81.514)
Epoch: [72][12890/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 1.7157 (1.8362)	Prec@1 46.094 (51.980)	Prec@5 85.156 (81.515)
Epoch: [72][12900/14090]	Time 0.855 (0.766)	Data 0.001 (0.001)	Loss 2.0186 (1.8362)	Prec@1 46.875 (51.981)	Prec@5 79.688 (81.514)
Epoch: [72][12910/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 1.8809 (1.8362)	Prec@1 51.562 (51.981)	Prec@5 82.812 (81.514)
Epoch: [72][12920/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 1.8026 (1.8363)	Prec@1 52.344 (51.980)	Prec@5 87.500 (81.515)
Epoch: [72][12930/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 1.7064 (1.8362)	Prec@1 53.125 (51.981)	Prec@5 82.812 (81.515)
Epoch: [72][12940/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 1.8888 (1.8363)	Prec@1 56.250 (51.981)	Prec@5 82.031 (81.516)
Epoch: [72][12950/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 1.6836 (1.8363)	Prec@1 57.031 (51.979)	Prec@5 80.469 (81.515)
Epoch: [72][12960/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 1.7259 (1.8363)	Prec@1 57.031 (51.981)	Prec@5 82.031 (81.514)
Epoch: [72][12970/14090]	Time 0.869 (0.766)	Data 0.001 (0.001)	Loss 1.9272 (1.8363)	Prec@1 50.781 (51.980)	Prec@5 80.469 (81.513)
Epoch: [72][12980/14090]	Time 0.771 (0.766)	Data 0.001 (0.001)	Loss 1.9170 (1.8363)	Prec@1 48.438 (51.980)	Prec@5 78.906 (81.512)
Epoch: [72][12990/14090]	Time 0.773 (0.766)	Data 0.001 (0.001)	Loss 1.7496 (1.8363)	Prec@1 53.125 (51.981)	Prec@5 84.375 (81.513)
Epoch: [72][13000/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 1.9227 (1.8363)	Prec@1 46.875 (51.982)	Prec@5 82.812 (81.513)
Epoch: [72][13010/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 1.6553 (1.8362)	Prec@1 59.375 (51.983)	Prec@5 82.031 (81.514)
Epoch: [72][13020/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 1.6431 (1.8362)	Prec@1 60.938 (51.983)	Prec@5 83.594 (81.514)
Epoch: [72][13030/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.0059 (1.8362)	Prec@1 50.781 (51.982)	Prec@5 77.344 (81.513)
Epoch: [72][13040/14090]	Time 0.849 (0.766)	Data 0.001 (0.001)	Loss 1.7851 (1.8363)	Prec@1 51.562 (51.981)	Prec@5 85.156 (81.512)
Epoch: [72][13050/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 1.7063 (1.8363)	Prec@1 54.688 (51.982)	Prec@5 85.156 (81.513)
Epoch: [72][13060/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 1.7093 (1.8363)	Prec@1 54.688 (51.981)	Prec@5 79.688 (81.513)
Epoch: [72][13070/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 1.5426 (1.8362)	Prec@1 59.375 (51.982)	Prec@5 86.719 (81.514)
Epoch: [72][13080/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 1.9603 (1.8362)	Prec@1 54.688 (51.983)	Prec@5 77.344 (81.513)
Epoch: [72][13090/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.3031 (1.8363)	Prec@1 38.281 (51.982)	Prec@5 71.875 (81.511)
Epoch: [72][13100/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 1.6355 (1.8363)	Prec@1 53.906 (51.981)	Prec@5 85.938 (81.511)
Epoch: [72][13110/14090]	Time 0.844 (0.766)	Data 0.001 (0.001)	Loss 2.0282 (1.8364)	Prec@1 45.312 (51.979)	Prec@5 75.781 (81.510)
Epoch: [72][13120/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.0116 (1.8364)	Prec@1 46.875 (51.977)	Prec@5 80.469 (81.509)
Epoch: [72][13130/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.2614 (1.8364)	Prec@1 44.531 (51.977)	Prec@5 71.875 (81.510)
Epoch: [72][13140/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 1.7948 (1.8364)	Prec@1 48.438 (51.975)	Prec@5 82.031 (81.509)
Epoch: [72][13150/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 1.8451 (1.8365)	Prec@1 53.125 (51.975)	Prec@5 82.031 (81.508)
Epoch: [72][13160/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.0487 (1.8365)	Prec@1 48.438 (51.975)	Prec@5 78.906 (81.508)
Epoch: [72][13170/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 1.9108 (1.8364)	Prec@1 52.344 (51.976)	Prec@5 82.031 (81.509)
Epoch: [72][13180/14090]	Time 0.899 (0.766)	Data 0.001 (0.001)	Loss 1.9385 (1.8365)	Prec@1 49.219 (51.975)	Prec@5 81.250 (81.509)
Epoch: [72][13190/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 1.8271 (1.8365)	Prec@1 49.219 (51.975)	Prec@5 83.594 (81.508)
Epoch: [72][13200/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 1.8620 (1.8364)	Prec@1 51.562 (51.975)	Prec@5 82.031 (81.509)
Epoch: [72][13210/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 1.6011 (1.8364)	Prec@1 57.812 (51.976)	Prec@5 86.719 (81.509)
Epoch: [72][13220/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 1.9610 (1.8364)	Prec@1 51.562 (51.977)	Prec@5 81.250 (81.509)
Epoch: [72][13230/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 1.9328 (1.8364)	Prec@1 48.438 (51.976)	Prec@5 83.594 (81.510)
Epoch: [72][13240/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 1.9037 (1.8363)	Prec@1 46.094 (51.976)	Prec@5 78.906 (81.509)
Epoch: [72][13250/14090]	Time 0.888 (0.766)	Data 0.001 (0.001)	Loss 2.0556 (1.8363)	Prec@1 47.656 (51.977)	Prec@5 75.781 (81.508)
Epoch: [72][13260/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 1.5238 (1.8363)	Prec@1 63.281 (51.977)	Prec@5 88.281 (81.509)
Epoch: [72][13270/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 1.9435 (1.8363)	Prec@1 51.562 (51.976)	Prec@5 78.125 (81.508)
Epoch: [72][13280/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 1.8988 (1.8363)	Prec@1 49.219 (51.976)	Prec@5 81.250 (81.506)
Epoch: [72][13290/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.1115 (1.8364)	Prec@1 46.094 (51.975)	Prec@5 78.125 (81.505)
Epoch: [72][13300/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 2.0812 (1.8364)	Prec@1 53.125 (51.974)	Prec@5 74.219 (81.505)
Epoch: [72][13310/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 1.7742 (1.8364)	Prec@1 57.812 (51.974)	Prec@5 82.031 (81.504)
Epoch: [72][13320/14090]	Time 0.864 (0.766)	Data 0.001 (0.001)	Loss 1.7809 (1.8364)	Prec@1 47.656 (51.974)	Prec@5 81.250 (81.503)
Epoch: [72][13330/14090]	Time 0.804 (0.766)	Data 0.001 (0.001)	Loss 1.9408 (1.8365)	Prec@1 50.000 (51.973)	Prec@5 77.344 (81.503)
Epoch: [72][13340/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 1.7180 (1.8364)	Prec@1 53.906 (51.974)	Prec@5 85.156 (81.504)
Epoch: [72][13350/14090]	Time 0.798 (0.766)	Data 0.001 (0.001)	Loss 1.8141 (1.8365)	Prec@1 51.562 (51.972)	Prec@5 84.375 (81.503)
Epoch: [72][13360/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 1.7581 (1.8365)	Prec@1 53.125 (51.972)	Prec@5 85.156 (81.503)
Epoch: [72][13370/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 1.9699 (1.8364)	Prec@1 47.656 (51.974)	Prec@5 82.812 (81.504)
Epoch: [72][13380/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 1.9527 (1.8364)	Prec@1 47.656 (51.972)	Prec@5 79.688 (81.504)
Epoch: [72][13390/14090]	Time 0.836 (0.766)	Data 0.001 (0.001)	Loss 1.8239 (1.8365)	Prec@1 53.906 (51.971)	Prec@5 83.594 (81.504)
Epoch: [72][13400/14090]	Time 0.781 (0.766)	Data 0.001 (0.001)	Loss 1.7797 (1.8365)	Prec@1 50.000 (51.970)	Prec@5 81.250 (81.503)
Epoch: [72][13410/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 1.8548 (1.8365)	Prec@1 53.125 (51.969)	Prec@5 78.906 (81.503)
Epoch: [72][13420/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 1.7347 (1.8365)	Prec@1 53.906 (51.969)	Prec@5 85.156 (81.504)
Epoch: [72][13430/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 1.7087 (1.8365)	Prec@1 51.562 (51.968)	Prec@5 88.281 (81.505)
Epoch: [72][13440/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 1.5348 (1.8364)	Prec@1 60.156 (51.970)	Prec@5 86.719 (81.506)
Epoch: [72][13450/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.1332 (1.8365)	Prec@1 46.094 (51.970)	Prec@5 76.562 (81.504)
Epoch: [72][13460/14090]	Time 0.859 (0.766)	Data 0.001 (0.001)	Loss 1.9613 (1.8365)	Prec@1 44.531 (51.970)	Prec@5 80.469 (81.504)
Epoch: [72][13470/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 1.6990 (1.8364)	Prec@1 59.375 (51.971)	Prec@5 85.156 (81.505)
Epoch: [72][13480/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 1.7888 (1.8364)	Prec@1 57.031 (51.971)	Prec@5 81.250 (81.506)
Epoch: [72][13490/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 1.7947 (1.8365)	Prec@1 54.688 (51.970)	Prec@5 81.250 (81.504)
Epoch: [72][13500/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 1.6383 (1.8365)	Prec@1 56.250 (51.970)	Prec@5 85.156 (81.504)
Epoch: [72][13510/14090]	Time 0.723 (0.766)	Data 0.001 (0.001)	Loss 1.8482 (1.8365)	Prec@1 54.688 (51.969)	Prec@5 81.250 (81.503)
Epoch: [72][13520/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 1.8012 (1.8365)	Prec@1 47.656 (51.969)	Prec@5 84.375 (81.503)
Epoch: [72][13530/14090]	Time 0.864 (0.766)	Data 0.001 (0.001)	Loss 2.0960 (1.8365)	Prec@1 48.438 (51.970)	Prec@5 76.562 (81.502)
Epoch: [72][13540/14090]	Time 0.775 (0.766)	Data 0.001 (0.001)	Loss 1.8690 (1.8366)	Prec@1 51.562 (51.968)	Prec@5 79.688 (81.501)
Epoch: [72][13550/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 1.7421 (1.8366)	Prec@1 50.781 (51.967)	Prec@5 82.812 (81.501)
Epoch: [72][13560/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.0214 (1.8365)	Prec@1 42.969 (51.968)	Prec@5 82.031 (81.502)
Epoch: [72][13570/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 1.8416 (1.8365)	Prec@1 53.906 (51.969)	Prec@5 78.906 (81.501)
Epoch: [72][13580/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 1.5467 (1.8365)	Prec@1 57.812 (51.970)	Prec@5 85.938 (81.502)
Epoch: [72][13590/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 1.9642 (1.8365)	Prec@1 57.031 (51.971)	Prec@5 76.562 (81.501)
Epoch: [72][13600/14090]	Time 0.878 (0.766)	Data 0.001 (0.001)	Loss 1.7466 (1.8365)	Prec@1 57.812 (51.971)	Prec@5 81.250 (81.501)
Epoch: [72][13610/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 1.7497 (1.8366)	Prec@1 57.812 (51.972)	Prec@5 82.812 (81.500)
Epoch: [72][13620/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 1.8026 (1.8366)	Prec@1 57.031 (51.972)	Prec@5 78.125 (81.499)
Epoch: [72][13630/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 1.6419 (1.8366)	Prec@1 57.812 (51.972)	Prec@5 84.375 (81.500)
Epoch: [72][13640/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 1.8211 (1.8365)	Prec@1 53.125 (51.973)	Prec@5 79.688 (81.501)
Epoch: [72][13650/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 1.6600 (1.8365)	Prec@1 55.469 (51.974)	Prec@5 85.156 (81.500)
Epoch: [72][13660/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.0299 (1.8365)	Prec@1 46.875 (51.972)	Prec@5 75.000 (81.500)
Epoch: [72][13670/14090]	Time 0.876 (0.766)	Data 0.001 (0.001)	Loss 2.0420 (1.8366)	Prec@1 50.781 (51.972)	Prec@5 74.219 (81.498)
Epoch: [72][13680/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 1.9313 (1.8365)	Prec@1 47.656 (51.974)	Prec@5 76.562 (81.498)
Epoch: [72][13690/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 1.7382 (1.8365)	Prec@1 55.469 (51.973)	Prec@5 82.812 (81.498)
Epoch: [72][13700/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 1.9021 (1.8365)	Prec@1 53.906 (51.971)	Prec@5 78.906 (81.498)
Epoch: [72][13710/14090]	Time 0.722 (0.766)	Data 0.001 (0.001)	Loss 1.6487 (1.8365)	Prec@1 54.688 (51.970)	Prec@5 85.938 (81.499)
Epoch: [72][13720/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 1.8345 (1.8365)	Prec@1 54.688 (51.970)	Prec@5 82.031 (81.499)
Epoch: [72][13730/14090]	Time 0.773 (0.766)	Data 0.001 (0.001)	Loss 1.5484 (1.8365)	Prec@1 57.031 (51.970)	Prec@5 89.844 (81.499)
Epoch: [72][13740/14090]	Time 0.855 (0.766)	Data 0.001 (0.001)	Loss 1.7770 (1.8365)	Prec@1 55.469 (51.971)	Prec@5 80.469 (81.498)
Epoch: [72][13750/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 1.8236 (1.8365)	Prec@1 51.562 (51.970)	Prec@5 83.594 (81.498)
Epoch: [72][13760/14090]	Time 0.721 (0.766)	Data 0.001 (0.001)	Loss 1.9399 (1.8365)	Prec@1 49.219 (51.971)	Prec@5 78.906 (81.498)
Epoch: [72][13770/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 1.7620 (1.8365)	Prec@1 51.562 (51.970)	Prec@5 82.812 (81.499)
Epoch: [72][13780/14090]	Time 0.770 (0.766)	Data 0.001 (0.001)	Loss 1.8768 (1.8365)	Prec@1 49.219 (51.969)	Prec@5 79.688 (81.499)
Epoch: [72][13790/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 1.7186 (1.8365)	Prec@1 49.219 (51.969)	Prec@5 84.375 (81.499)
Epoch: [72][13800/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 1.8771 (1.8365)	Prec@1 57.031 (51.971)	Prec@5 81.250 (81.499)
Epoch: [72][13810/14090]	Time 0.874 (0.766)	Data 0.001 (0.001)	Loss 1.9414 (1.8365)	Prec@1 51.562 (51.971)	Prec@5 78.125 (81.499)
Epoch: [72][13820/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 1.9733 (1.8365)	Prec@1 45.312 (51.972)	Prec@5 78.906 (81.499)
Epoch: [72][13830/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 1.7427 (1.8365)	Prec@1 49.219 (51.971)	Prec@5 83.594 (81.499)
Epoch: [72][13840/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 1.9701 (1.8366)	Prec@1 48.438 (51.970)	Prec@5 79.688 (81.499)
Epoch: [72][13850/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.0137 (1.8365)	Prec@1 45.312 (51.970)	Prec@5 81.250 (81.500)
Epoch: [72][13860/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 1.7430 (1.8365)	Prec@1 52.344 (51.970)	Prec@5 80.469 (81.500)
Epoch: [72][13870/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 1.9194 (1.8365)	Prec@1 51.562 (51.971)	Prec@5 78.906 (81.499)
Epoch: [72][13880/14090]	Time 0.932 (0.766)	Data 0.001 (0.001)	Loss 1.8189 (1.8365)	Prec@1 54.688 (51.973)	Prec@5 83.594 (81.500)
Epoch: [72][13890/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 2.1340 (1.8365)	Prec@1 44.531 (51.974)	Prec@5 76.562 (81.500)
Epoch: [72][13900/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.0174 (1.8365)	Prec@1 46.094 (51.972)	Prec@5 78.125 (81.500)
Epoch: [72][13910/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 1.9825 (1.8365)	Prec@1 48.438 (51.972)	Prec@5 80.469 (81.500)
Epoch: [72][13920/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 1.8539 (1.8365)	Prec@1 52.344 (51.973)	Prec@5 78.906 (81.499)
Epoch: [72][13930/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 1.7851 (1.8364)	Prec@1 46.875 (51.973)	Prec@5 84.375 (81.499)
Epoch: [72][13940/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 1.8075 (1.8364)	Prec@1 47.656 (51.973)	Prec@5 83.594 (81.499)
Epoch: [72][13950/14090]	Time 0.861 (0.766)	Data 0.001 (0.001)	Loss 1.7224 (1.8365)	Prec@1 52.344 (51.971)	Prec@5 82.812 (81.499)
Epoch: [72][13960/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 1.8142 (1.8365)	Prec@1 48.438 (51.970)	Prec@5 80.469 (81.498)
Epoch: [72][13970/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 1.8784 (1.8365)	Prec@1 46.875 (51.971)	Prec@5 79.688 (81.500)
Epoch: [72][13980/14090]	Time 0.731 (0.766)	Data 0.002 (0.001)	Loss 1.4872 (1.8365)	Prec@1 59.375 (51.973)	Prec@5 89.062 (81.500)
Epoch: [72][13990/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.1695 (1.8365)	Prec@1 41.406 (51.972)	Prec@5 78.906 (81.500)
Epoch: [72][14000/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.0351 (1.8366)	Prec@1 46.875 (51.972)	Prec@5 78.125 (81.498)
Epoch: [72][14010/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 1.6705 (1.8365)	Prec@1 54.688 (51.972)	Prec@5 83.594 (81.499)
Epoch: [72][14020/14090]	Time 0.867 (0.766)	Data 0.001 (0.001)	Loss 2.0914 (1.8365)	Prec@1 46.094 (51.971)	Prec@5 75.000 (81.498)
Epoch: [72][14030/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 1.4784 (1.8365)	Prec@1 62.500 (51.971)	Prec@5 86.719 (81.498)
Epoch: [72][14040/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 1.5809 (1.8365)	Prec@1 58.594 (51.971)	Prec@5 85.156 (81.499)
Epoch: [72][14050/14090]	Time 0.767 (0.766)	Data 0.001 (0.001)	Loss 1.7839 (1.8365)	Prec@1 52.344 (51.971)	Prec@5 84.375 (81.499)
Epoch: [72][14060/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 1.7752 (1.8365)	Prec@1 53.125 (51.969)	Prec@5 79.688 (81.499)
Epoch: [72][14070/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 2.1436 (1.8365)	Prec@1 48.438 (51.968)	Prec@5 75.000 (81.499)
Epoch: [72][14080/14090]	Time 0.750 (0.766)	Data 0.000 (0.001)	Loss 1.7248 (1.8365)	Prec@1 56.250 (51.968)	Prec@5 85.156 (81.500)
Test: [0/286]	Time 4.099 (4.099)	Loss 1.3375 (1.3375)	Prec@1 53.125 (53.125)	Prec@5 96.094 (96.094)
Test: [10/286]	Time 0.386 (0.659)	Loss 1.7712 (1.7416)	Prec@1 52.344 (54.332)	Prec@5 86.719 (85.369)
Test: [20/286]	Time 0.230 (0.493)	Loss 1.2950 (1.7128)	Prec@1 67.188 (54.501)	Prec@5 91.406 (85.751)
Test: [30/286]	Time 0.232 (0.441)	Loss 1.8330 (1.6362)	Prec@1 50.781 (56.804)	Prec@5 81.250 (86.013)
Test: [40/286]	Time 0.857 (0.424)	Loss 1.6700 (1.6498)	Prec@1 52.344 (56.612)	Prec@5 85.938 (85.918)
Test: [50/286]	Time 0.327 (0.409)	Loss 0.4230 (1.6421)	Prec@1 91.406 (56.618)	Prec@5 95.312 (86.290)
Test: [60/286]	Time 0.273 (0.396)	Loss 2.6951 (1.6733)	Prec@1 36.719 (56.007)	Prec@5 70.312 (85.207)
Test: [70/286]	Time 0.229 (0.384)	Loss 1.2001 (1.6543)	Prec@1 69.531 (56.184)	Prec@5 91.406 (85.530)
Test: [80/286]	Time 0.625 (0.383)	Loss 1.8800 (1.6948)	Prec@1 43.750 (54.890)	Prec@5 84.375 (85.060)
Test: [90/286]	Time 0.232 (0.380)	Loss 1.8383 (1.7031)	Prec@1 48.438 (54.791)	Prec@5 85.156 (84.967)
Test: [100/286]	Time 0.293 (0.374)	Loss 1.9883 (1.7141)	Prec@1 39.062 (54.162)	Prec@5 86.719 (84.940)
Test: [110/286]	Time 0.225 (0.369)	Loss 2.5049 (1.7330)	Prec@1 38.281 (53.695)	Prec@5 70.312 (84.769)
Test: [120/286]	Time 0.292 (0.366)	Loss 1.5393 (1.7190)	Prec@1 64.062 (54.171)	Prec@5 79.688 (84.866)
Test: [130/286]	Time 0.376 (0.368)	Loss 0.9198 (1.7086)	Prec@1 71.875 (54.491)	Prec@5 94.531 (84.959)
Test: [140/286]	Time 0.282 (0.365)	Loss 2.2565 (1.6992)	Prec@1 46.094 (54.693)	Prec@5 74.219 (84.984)
Test: [150/286]	Time 0.284 (0.363)	Loss 2.5384 (1.7078)	Prec@1 34.375 (54.336)	Prec@5 80.469 (84.944)
Test: [160/286]	Time 0.231 (0.360)	Loss 2.6708 (1.7031)	Prec@1 21.094 (54.489)	Prec@5 69.531 (84.977)
Test: [170/286]	Time 0.346 (0.362)	Loss 1.8713 (1.6968)	Prec@1 50.781 (54.601)	Prec@5 82.812 (85.106)
Test: [180/286]	Time 0.231 (0.360)	Loss 1.8012 (1.7086)	Prec@1 59.375 (54.316)	Prec@5 81.250 (84.953)
Test: [190/286]	Time 0.230 (0.358)	Loss 2.7359 (1.7288)	Prec@1 21.094 (53.837)	Prec@5 75.781 (84.743)
Test: [200/286]	Time 0.293 (0.357)	Loss 1.7286 (1.7229)	Prec@1 60.938 (54.027)	Prec@5 88.281 (84.795)
Test: [210/286]	Time 0.838 (0.359)	Loss 1.7373 (1.7273)	Prec@1 56.250 (53.843)	Prec@5 85.938 (84.753)
Test: [220/286]	Time 0.242 (0.358)	Loss 2.5918 (1.7318)	Prec@1 25.000 (53.761)	Prec@5 73.438 (84.622)
Test: [230/286]	Time 0.239 (0.357)	Loss 1.0725 (1.7287)	Prec@1 67.969 (53.805)	Prec@5 89.844 (84.615)
Test: [240/286]	Time 0.231 (0.355)	Loss 2.1310 (1.7273)	Prec@1 46.094 (53.900)	Prec@5 77.344 (84.608)
Test: [250/286]	Time 1.158 (0.358)	Loss 1.7528 (1.7188)	Prec@1 47.656 (53.997)	Prec@5 84.375 (84.770)
Test: [260/286]	Time 0.264 (0.358)	Loss 1.5217 (1.7076)	Prec@1 58.594 (54.304)	Prec@5 87.500 (84.941)
Test: [270/286]	Time 0.258 (0.356)	Loss 1.0478 (1.7067)	Prec@1 72.656 (54.365)	Prec@5 91.406 (84.969)
Test: [280/286]	Time 0.224 (0.355)	Loss 1.6845 (1.6928)	Prec@1 61.719 (54.893)	Prec@5 92.188 (85.098)
 * Prec@1 54.973 Prec@5 85.113
Epoch: [73][0/14090]	Time 5.278 (5.278)	Data 4.507 (4.507)	Loss 1.8970 (1.8970)	Prec@1 53.125 (53.125)	Prec@5 79.688 (79.688)
Epoch: [73][10/14090]	Time 0.734 (1.151)	Data 0.001 (0.410)	Loss 1.8106 (1.8430)	Prec@1 54.688 (51.847)	Prec@5 85.156 (81.392)
Epoch: [73][20/14090]	Time 0.721 (0.962)	Data 0.001 (0.215)	Loss 1.8567 (1.8419)	Prec@1 50.781 (51.079)	Prec@5 83.594 (81.324)
Epoch: [73][30/14090]	Time 0.742 (0.893)	Data 0.001 (0.146)	Loss 1.5003 (1.8347)	Prec@1 59.375 (51.210)	Prec@5 85.938 (81.628)
Epoch: [73][40/14090]	Time 0.740 (0.863)	Data 0.001 (0.111)	Loss 1.6422 (1.8351)	Prec@1 56.250 (51.220)	Prec@5 87.500 (81.764)
Epoch: [73][50/14090]	Time 0.741 (0.842)	Data 0.001 (0.089)	Loss 2.0564 (1.8404)	Prec@1 46.094 (51.302)	Prec@5 79.688 (81.786)
Epoch: [73][60/14090]	Time 0.829 (0.829)	Data 0.001 (0.075)	Loss 1.9189 (1.8340)	Prec@1 54.688 (52.036)	Prec@5 78.125 (81.775)
Epoch: [73][70/14090]	Time 0.768 (0.819)	Data 0.001 (0.064)	Loss 1.7286 (1.8270)	Prec@1 53.125 (52.234)	Prec@5 82.812 (81.833)
Epoch: [73][80/14090]	Time 0.738 (0.813)	Data 0.001 (0.056)	Loss 1.7846 (1.8286)	Prec@1 52.344 (52.382)	Prec@5 89.062 (81.896)
Epoch: [73][90/14090]	Time 0.748 (0.807)	Data 0.001 (0.050)	Loss 1.6017 (1.8150)	Prec@1 58.594 (52.636)	Prec@5 84.375 (82.091)
Epoch: [73][100/14090]	Time 0.733 (0.803)	Data 0.001 (0.045)	Loss 1.8616 (1.8099)	Prec@1 53.906 (52.792)	Prec@5 82.031 (82.232)
Epoch: [73][110/14090]	Time 0.759 (0.799)	Data 0.001 (0.041)	Loss 1.7937 (1.8137)	Prec@1 53.906 (52.668)	Prec@5 83.594 (82.207)
Epoch: [73][120/14090]	Time 0.781 (0.796)	Data 0.001 (0.038)	Loss 2.0803 (1.8156)	Prec@1 41.406 (52.602)	Prec@5 77.344 (82.128)
Epoch: [73][130/14090]	Time 0.847 (0.794)	Data 0.001 (0.035)	Loss 1.8240 (1.8173)	Prec@1 56.250 (52.594)	Prec@5 78.906 (81.995)
Epoch: [73][140/14090]	Time 0.736 (0.792)	Data 0.001 (0.033)	Loss 1.9037 (1.8215)	Prec@1 50.781 (52.416)	Prec@5 78.906 (81.943)
Epoch: [73][150/14090]	Time 0.757 (0.790)	Data 0.001 (0.031)	Loss 1.9786 (1.8208)	Prec@1 50.781 (52.535)	Prec@5 81.250 (81.933)
Epoch: [73][160/14090]	Time 0.748 (0.788)	Data 0.001 (0.029)	Loss 1.7180 (1.8223)	Prec@1 56.250 (52.465)	Prec@5 83.594 (81.920)
Epoch: [73][170/14090]	Time 0.743 (0.787)	Data 0.001 (0.027)	Loss 1.8470 (1.8225)	Prec@1 48.438 (52.440)	Prec@5 80.469 (81.912)
Epoch: [73][180/14090]	Time 0.757 (0.786)	Data 0.001 (0.026)	Loss 1.9167 (1.8223)	Prec@1 50.000 (52.469)	Prec@5 81.250 (81.932)
Epoch: [73][190/14090]	Time 0.790 (0.785)	Data 0.001 (0.024)	Loss 1.7131 (1.8262)	Prec@1 54.688 (52.413)	Prec@5 82.031 (81.835)
Epoch: [73][200/14090]	Time 0.948 (0.785)	Data 0.001 (0.023)	Loss 1.8498 (1.8264)	Prec@1 48.438 (52.309)	Prec@5 81.250 (81.903)
Epoch: [73][210/14090]	Time 0.728 (0.784)	Data 0.001 (0.022)	Loss 2.0170 (1.8255)	Prec@1 55.469 (52.392)	Prec@5 77.344 (81.902)
Epoch: [73][220/14090]	Time 0.733 (0.783)	Data 0.001 (0.021)	Loss 1.8910 (1.8250)	Prec@1 52.344 (52.467)	Prec@5 77.344 (81.872)
Epoch: [73][230/14090]	Time 0.753 (0.783)	Data 0.001 (0.020)	Loss 1.7714 (1.8223)	Prec@1 59.375 (52.547)	Prec@5 85.156 (81.920)
Epoch: [73][240/14090]	Time 0.763 (0.782)	Data 0.001 (0.020)	Loss 1.9014 (1.8205)	Prec@1 53.906 (52.645)	Prec@5 83.594 (81.992)
Epoch: [73][250/14090]	Time 0.754 (0.782)	Data 0.001 (0.019)	Loss 1.8415 (1.8196)	Prec@1 57.812 (52.723)	Prec@5 82.031 (82.003)
Epoch: [73][260/14090]	Time 0.738 (0.781)	Data 0.001 (0.018)	Loss 2.0873 (1.8202)	Prec@1 50.781 (52.700)	Prec@5 77.344 (81.974)
Epoch: [73][270/14090]	Time 0.863 (0.781)	Data 0.001 (0.017)	Loss 2.0184 (1.8241)	Prec@1 47.656 (52.592)	Prec@5 78.125 (81.884)
Epoch: [73][280/14090]	Time 0.773 (0.781)	Data 0.001 (0.017)	Loss 1.6969 (1.8235)	Prec@1 51.562 (52.586)	Prec@5 83.594 (81.901)
Epoch: [73][290/14090]	Time 0.774 (0.781)	Data 0.001 (0.016)	Loss 1.8957 (1.8245)	Prec@1 50.000 (52.567)	Prec@5 84.375 (81.876)
Epoch: [73][300/14090]	Time 0.750 (0.780)	Data 0.001 (0.016)	Loss 2.1131 (1.8244)	Prec@1 49.219 (52.546)	Prec@5 76.562 (81.886)
Epoch: [73][310/14090]	Time 0.743 (0.780)	Data 0.001 (0.015)	Loss 1.6959 (1.8217)	Prec@1 58.594 (52.602)	Prec@5 82.031 (81.943)
Epoch: [73][320/14090]	Time 0.781 (0.780)	Data 0.001 (0.015)	Loss 2.0861 (1.8239)	Prec@1 43.750 (52.529)	Prec@5 76.562 (81.914)
Epoch: [73][330/14090]	Time 0.765 (0.779)	Data 0.001 (0.014)	Loss 1.8173 (1.8238)	Prec@1 47.656 (52.495)	Prec@5 84.375 (81.920)
Epoch: [73][340/14090]	Time 0.858 (0.779)	Data 0.001 (0.014)	Loss 1.6500 (1.8214)	Prec@1 53.125 (52.543)	Prec@5 82.031 (81.953)
Epoch: [73][350/14090]	Time 0.745 (0.778)	Data 0.001 (0.014)	Loss 1.8602 (1.8225)	Prec@1 47.656 (52.513)	Prec@5 80.469 (81.931)
Epoch: [73][360/14090]	Time 0.776 (0.778)	Data 0.001 (0.013)	Loss 1.8527 (1.8235)	Prec@1 53.906 (52.465)	Prec@5 81.250 (81.888)
Epoch: [73][370/14090]	Time 0.744 (0.778)	Data 0.001 (0.013)	Loss 1.6909 (1.8227)	Prec@1 53.125 (52.466)	Prec@5 85.938 (81.890)
Epoch: [73][380/14090]	Time 0.754 (0.777)	Data 0.001 (0.013)	Loss 1.8246 (1.8227)	Prec@1 52.344 (52.452)	Prec@5 78.125 (81.871)
Epoch: [73][390/14090]	Time 0.762 (0.778)	Data 0.001 (0.012)	Loss 1.6093 (1.8237)	Prec@1 59.375 (52.434)	Prec@5 85.938 (81.865)
Epoch: [73][400/14090]	Time 0.753 (0.777)	Data 0.001 (0.012)	Loss 1.9043 (1.8240)	Prec@1 52.344 (52.437)	Prec@5 79.688 (81.850)
Epoch: [73][410/14090]	Time 0.872 (0.777)	Data 0.001 (0.012)	Loss 2.0162 (1.8259)	Prec@1 46.094 (52.389)	Prec@5 83.594 (81.847)
Epoch: [73][420/14090]	Time 0.767 (0.777)	Data 0.001 (0.012)	Loss 1.9274 (1.8277)	Prec@1 50.781 (52.340)	Prec@5 83.594 (81.823)
Epoch: [73][430/14090]	Time 0.757 (0.777)	Data 0.001 (0.011)	Loss 1.8371 (1.8270)	Prec@1 53.125 (52.369)	Prec@5 82.031 (81.835)
Epoch: [73][440/14090]	Time 0.728 (0.776)	Data 0.001 (0.011)	Loss 1.6078 (1.8256)	Prec@1 56.250 (52.349)	Prec@5 82.812 (81.856)
Epoch: [73][450/14090]	Time 0.747 (0.776)	Data 0.001 (0.011)	Loss 1.7078 (1.8247)	Prec@1 52.344 (52.396)	Prec@5 83.594 (81.846)
Epoch: [73][460/14090]	Time 0.736 (0.776)	Data 0.001 (0.011)	Loss 2.1785 (1.8248)	Prec@1 40.625 (52.374)	Prec@5 72.656 (81.850)
Epoch: [73][470/14090]	Time 0.734 (0.776)	Data 0.001 (0.010)	Loss 1.5696 (1.8240)	Prec@1 57.812 (52.402)	Prec@5 82.031 (81.845)
Epoch: [73][480/14090]	Time 0.884 (0.776)	Data 0.001 (0.010)	Loss 1.8823 (1.8253)	Prec@1 55.469 (52.370)	Prec@5 84.375 (81.827)
Epoch: [73][490/14090]	Time 0.735 (0.775)	Data 0.001 (0.010)	Loss 2.0592 (1.8243)	Prec@1 50.781 (52.382)	Prec@5 76.562 (81.818)
Epoch: [73][500/14090]	Time 0.731 (0.775)	Data 0.001 (0.010)	Loss 1.9552 (1.8252)	Prec@1 44.531 (52.369)	Prec@5 78.906 (81.810)
Epoch: [73][510/14090]	Time 0.743 (0.775)	Data 0.001 (0.010)	Loss 1.8294 (1.8262)	Prec@1 51.562 (52.328)	Prec@5 87.500 (81.800)
Epoch: [73][520/14090]	Time 0.770 (0.774)	Data 0.001 (0.009)	Loss 1.6256 (1.8266)	Prec@1 52.344 (52.317)	Prec@5 89.844 (81.782)
Epoch: [73][530/14090]	Time 0.757 (0.774)	Data 0.001 (0.009)	Loss 1.8798 (1.8260)	Prec@1 51.562 (52.313)	Prec@5 80.469 (81.786)
Epoch: [73][540/14090]	Time 0.774 (0.774)	Data 0.001 (0.009)	Loss 1.6949 (1.8244)	Prec@1 56.250 (52.376)	Prec@5 83.594 (81.805)
Epoch: [73][550/14090]	Time 0.872 (0.774)	Data 0.001 (0.009)	Loss 1.7363 (1.8232)	Prec@1 57.031 (52.395)	Prec@5 82.812 (81.833)
Epoch: [73][560/14090]	Time 0.751 (0.774)	Data 0.001 (0.009)	Loss 1.6645 (1.8233)	Prec@1 53.906 (52.373)	Prec@5 82.812 (81.831)
Epoch: [73][570/14090]	Time 0.748 (0.773)	Data 0.001 (0.009)	Loss 1.8604 (1.8227)	Prec@1 51.562 (52.370)	Prec@5 82.031 (81.830)
Epoch: [73][580/14090]	Time 0.739 (0.773)	Data 0.001 (0.009)	Loss 1.5890 (1.8217)	Prec@1 57.031 (52.375)	Prec@5 85.938 (81.846)
Epoch: [73][590/14090]	Time 0.749 (0.773)	Data 0.001 (0.008)	Loss 1.5877 (1.8213)	Prec@1 54.688 (52.386)	Prec@5 83.594 (81.842)
Epoch: [73][600/14090]	Time 0.755 (0.773)	Data 0.001 (0.008)	Loss 1.7976 (1.8208)	Prec@1 54.688 (52.393)	Prec@5 80.469 (81.851)
Epoch: [73][610/14090]	Time 0.751 (0.773)	Data 0.001 (0.008)	Loss 2.0881 (1.8204)	Prec@1 44.531 (52.412)	Prec@5 75.781 (81.843)
Epoch: [73][620/14090]	Time 0.853 (0.773)	Data 0.001 (0.008)	Loss 1.5130 (1.8189)	Prec@1 56.250 (52.448)	Prec@5 90.625 (81.874)
Epoch: [73][630/14090]	Time 0.745 (0.773)	Data 0.001 (0.008)	Loss 1.6753 (1.8190)	Prec@1 60.156 (52.448)	Prec@5 83.594 (81.873)
Epoch: [73][640/14090]	Time 0.756 (0.773)	Data 0.001 (0.008)	Loss 1.8648 (1.8201)	Prec@1 50.000 (52.411)	Prec@5 80.469 (81.858)
Epoch: [73][650/14090]	Time 0.740 (0.773)	Data 0.001 (0.008)	Loss 1.6676 (1.8201)	Prec@1 57.812 (52.394)	Prec@5 85.938 (81.872)
Epoch: [73][660/14090]	Time 0.744 (0.772)	Data 0.001 (0.008)	Loss 1.7248 (1.8208)	Prec@1 49.219 (52.372)	Prec@5 83.594 (81.846)
Epoch: [73][670/14090]	Time 0.723 (0.772)	Data 0.001 (0.008)	Loss 1.8969 (1.8217)	Prec@1 44.531 (52.334)	Prec@5 85.156 (81.846)
Epoch: [73][680/14090]	Time 0.726 (0.772)	Data 0.001 (0.007)	Loss 1.8458 (1.8231)	Prec@1 52.344 (52.302)	Prec@5 80.469 (81.827)
Epoch: [73][690/14090]	Time 0.864 (0.772)	Data 0.001 (0.007)	Loss 1.9599 (1.8248)	Prec@1 48.438 (52.257)	Prec@5 79.688 (81.792)
Epoch: [73][700/14090]	Time 0.733 (0.772)	Data 0.001 (0.007)	Loss 1.6267 (1.8243)	Prec@1 56.250 (52.261)	Prec@5 87.500 (81.792)
Epoch: [73][710/14090]	Time 0.732 (0.772)	Data 0.001 (0.007)	Loss 1.7983 (1.8234)	Prec@1 53.125 (52.291)	Prec@5 80.469 (81.794)
Epoch: [73][720/14090]	Time 0.730 (0.771)	Data 0.001 (0.007)	Loss 1.6614 (1.8231)	Prec@1 57.031 (52.312)	Prec@5 83.594 (81.787)
Epoch: [73][730/14090]	Time 0.746 (0.771)	Data 0.001 (0.007)	Loss 2.0117 (1.8230)	Prec@1 50.781 (52.343)	Prec@5 81.250 (81.787)
Epoch: [73][740/14090]	Time 0.755 (0.771)	Data 0.001 (0.007)	Loss 2.1584 (1.8239)	Prec@1 42.969 (52.318)	Prec@5 78.125 (81.787)
Epoch: [73][750/14090]	Time 0.753 (0.771)	Data 0.001 (0.007)	Loss 1.7041 (1.8240)	Prec@1 52.344 (52.308)	Prec@5 84.375 (81.798)
Epoch: [73][760/14090]	Time 0.840 (0.771)	Data 0.001 (0.007)	Loss 1.7303 (1.8238)	Prec@1 57.812 (52.318)	Prec@5 82.812 (81.796)
Epoch: [73][770/14090]	Time 0.740 (0.771)	Data 0.001 (0.007)	Loss 1.7554 (1.8236)	Prec@1 54.688 (52.319)	Prec@5 82.031 (81.802)
Epoch: [73][780/14090]	Time 0.737 (0.771)	Data 0.001 (0.007)	Loss 1.5743 (1.8231)	Prec@1 53.125 (52.335)	Prec@5 89.844 (81.815)
Epoch: [73][790/14090]	Time 0.719 (0.771)	Data 0.001 (0.007)	Loss 1.8126 (1.8238)	Prec@1 49.219 (52.317)	Prec@5 80.469 (81.796)
Epoch: [73][800/14090]	Time 0.754 (0.770)	Data 0.001 (0.006)	Loss 1.9061 (1.8234)	Prec@1 47.656 (52.314)	Prec@5 78.125 (81.795)
Epoch: [73][810/14090]	Time 0.731 (0.770)	Data 0.001 (0.006)	Loss 1.8743 (1.8241)	Prec@1 45.312 (52.285)	Prec@5 82.031 (81.788)
Epoch: [73][820/14090]	Time 0.759 (0.770)	Data 0.001 (0.006)	Loss 1.8464 (1.8247)	Prec@1 52.344 (52.260)	Prec@5 82.031 (81.775)
Epoch: [73][830/14090]	Time 0.842 (0.770)	Data 0.001 (0.006)	Loss 1.9773 (1.8251)	Prec@1 45.312 (52.242)	Prec@5 78.125 (81.762)
Epoch: [73][840/14090]	Time 0.727 (0.770)	Data 0.001 (0.006)	Loss 2.1641 (1.8267)	Prec@1 41.406 (52.196)	Prec@5 72.656 (81.712)
Epoch: [73][850/14090]	Time 0.762 (0.770)	Data 0.001 (0.006)	Loss 2.0423 (1.8279)	Prec@1 50.000 (52.181)	Prec@5 73.438 (81.682)
Epoch: [73][860/14090]	Time 0.735 (0.770)	Data 0.001 (0.006)	Loss 1.9869 (1.8273)	Prec@1 49.219 (52.190)	Prec@5 76.562 (81.703)
Epoch: [73][870/14090]	Time 0.731 (0.770)	Data 0.001 (0.006)	Loss 1.7393 (1.8283)	Prec@1 50.781 (52.170)	Prec@5 82.031 (81.679)
Epoch: [73][880/14090]	Time 0.755 (0.770)	Data 0.001 (0.006)	Loss 1.8252 (1.8273)	Prec@1 52.344 (52.199)	Prec@5 82.031 (81.692)
Epoch: [73][890/14090]	Time 0.777 (0.770)	Data 0.001 (0.006)	Loss 1.7557 (1.8285)	Prec@1 46.875 (52.161)	Prec@5 84.375 (81.677)
Epoch: [73][900/14090]	Time 0.849 (0.770)	Data 0.001 (0.006)	Loss 1.9750 (1.8296)	Prec@1 47.656 (52.130)	Prec@5 79.688 (81.661)
Epoch: [73][910/14090]	Time 0.732 (0.770)	Data 0.001 (0.006)	Loss 2.0999 (1.8300)	Prec@1 46.875 (52.119)	Prec@5 75.000 (81.644)
Epoch: [73][920/14090]	Time 0.758 (0.770)	Data 0.001 (0.006)	Loss 1.9588 (1.8297)	Prec@1 55.469 (52.122)	Prec@5 80.469 (81.650)
Epoch: [73][930/14090]	Time 0.734 (0.770)	Data 0.001 (0.006)	Loss 1.8212 (1.8297)	Prec@1 49.219 (52.126)	Prec@5 85.156 (81.647)
Epoch: [73][940/14090]	Time 0.737 (0.769)	Data 0.001 (0.006)	Loss 1.7214 (1.8298)	Prec@1 56.250 (52.120)	Prec@5 84.375 (81.641)
Epoch: [73][950/14090]	Time 0.746 (0.770)	Data 0.001 (0.006)	Loss 1.6808 (1.8294)	Prec@1 53.906 (52.115)	Prec@5 84.375 (81.653)
Epoch: [73][960/14090]	Time 0.724 (0.769)	Data 0.001 (0.006)	Loss 1.5958 (1.8288)	Prec@1 61.719 (52.132)	Prec@5 86.719 (81.669)
Epoch: [73][970/14090]	Time 0.912 (0.769)	Data 0.001 (0.005)	Loss 1.7796 (1.8285)	Prec@1 57.031 (52.153)	Prec@5 82.031 (81.672)
Epoch: [73][980/14090]	Time 0.753 (0.769)	Data 0.001 (0.005)	Loss 1.8557 (1.8282)	Prec@1 49.219 (52.155)	Prec@5 79.688 (81.680)
Epoch: [73][990/14090]	Time 0.756 (0.769)	Data 0.001 (0.005)	Loss 1.7490 (1.8279)	Prec@1 54.688 (52.160)	Prec@5 83.594 (81.676)
Epoch: [73][1000/14090]	Time 0.753 (0.769)	Data 0.001 (0.005)	Loss 1.7625 (1.8277)	Prec@1 53.906 (52.154)	Prec@5 82.031 (81.671)
Epoch: [73][1010/14090]	Time 0.740 (0.769)	Data 0.001 (0.005)	Loss 1.8107 (1.8277)	Prec@1 60.938 (52.170)	Prec@5 78.906 (81.664)
Epoch: [73][1020/14090]	Time 0.780 (0.769)	Data 0.002 (0.005)	Loss 1.8194 (1.8277)	Prec@1 50.781 (52.178)	Prec@5 79.688 (81.667)
Epoch: [73][1030/14090]	Time 0.777 (0.769)	Data 0.001 (0.005)	Loss 1.7278 (1.8271)	Prec@1 53.125 (52.188)	Prec@5 83.594 (81.690)
Epoch: [73][1040/14090]	Time 0.871 (0.769)	Data 0.001 (0.005)	Loss 1.6821 (1.8271)	Prec@1 59.375 (52.179)	Prec@5 82.812 (81.691)
Epoch: [73][1050/14090]	Time 0.742 (0.769)	Data 0.001 (0.005)	Loss 1.9010 (1.8268)	Prec@1 55.469 (52.192)	Prec@5 81.250 (81.697)
Epoch: [73][1060/14090]	Time 0.733 (0.769)	Data 0.001 (0.005)	Loss 2.2636 (1.8280)	Prec@1 42.188 (52.164)	Prec@5 71.094 (81.683)
Epoch: [73][1070/14090]	Time 0.755 (0.769)	Data 0.001 (0.005)	Loss 1.8889 (1.8277)	Prec@1 45.312 (52.161)	Prec@5 79.688 (81.685)
Epoch: [73][1080/14090]	Time 0.749 (0.769)	Data 0.001 (0.005)	Loss 1.8110 (1.8274)	Prec@1 46.094 (52.154)	Prec@5 78.906 (81.687)
Epoch: [73][1090/14090]	Time 0.755 (0.769)	Data 0.001 (0.005)	Loss 2.0428 (1.8278)	Prec@1 50.000 (52.157)	Prec@5 76.562 (81.677)
Epoch: [73][1100/14090]	Time 0.756 (0.769)	Data 0.001 (0.005)	Loss 1.8368 (1.8282)	Prec@1 50.000 (52.134)	Prec@5 82.031 (81.665)
Epoch: [73][1110/14090]	Time 0.862 (0.769)	Data 0.001 (0.005)	Loss 1.9954 (1.8277)	Prec@1 49.219 (52.129)	Prec@5 77.344 (81.675)
Epoch: [73][1120/14090]	Time 0.754 (0.769)	Data 0.001 (0.005)	Loss 1.8833 (1.8270)	Prec@1 50.781 (52.142)	Prec@5 82.031 (81.688)
Epoch: [73][1130/14090]	Time 0.743 (0.768)	Data 0.001 (0.005)	Loss 1.6989 (1.8272)	Prec@1 57.812 (52.137)	Prec@5 83.594 (81.689)
Epoch: [73][1140/14090]	Time 0.756 (0.769)	Data 0.001 (0.005)	Loss 1.8749 (1.8267)	Prec@1 54.688 (52.153)	Prec@5 80.469 (81.694)
Epoch: [73][1150/14090]	Time 0.749 (0.768)	Data 0.001 (0.005)	Loss 1.5508 (1.8262)	Prec@1 59.375 (52.157)	Prec@5 82.812 (81.693)
Epoch: [73][1160/14090]	Time 0.730 (0.768)	Data 0.001 (0.005)	Loss 2.0215 (1.8262)	Prec@1 46.094 (52.148)	Prec@5 77.344 (81.693)
Epoch: [73][1170/14090]	Time 0.753 (0.768)	Data 0.001 (0.005)	Loss 1.8281 (1.8261)	Prec@1 53.125 (52.155)	Prec@5 83.594 (81.694)
Epoch: [73][1180/14090]	Time 0.890 (0.768)	Data 0.001 (0.005)	Loss 1.6622 (1.8264)	Prec@1 60.156 (52.157)	Prec@5 82.812 (81.679)
Epoch: [73][1190/14090]	Time 0.754 (0.768)	Data 0.001 (0.005)	Loss 1.7659 (1.8265)	Prec@1 55.469 (52.154)	Prec@5 78.906 (81.672)
Epoch: [73][1200/14090]	Time 0.764 (0.768)	Data 0.001 (0.005)	Loss 1.8853 (1.8264)	Prec@1 51.562 (52.161)	Prec@5 84.375 (81.683)
Epoch: [73][1210/14090]	Time 0.741 (0.768)	Data 0.001 (0.005)	Loss 1.7458 (1.8257)	Prec@1 51.562 (52.155)	Prec@5 84.375 (81.704)
Epoch: [73][1220/14090]	Time 0.757 (0.768)	Data 0.001 (0.005)	Loss 1.9011 (1.8263)	Prec@1 52.344 (52.156)	Prec@5 78.906 (81.690)
Epoch: [73][1230/14090]	Time 0.735 (0.768)	Data 0.001 (0.004)	Loss 1.9781 (1.8265)	Prec@1 47.656 (52.152)	Prec@5 83.594 (81.700)
Epoch: [73][1240/14090]	Time 0.752 (0.768)	Data 0.001 (0.004)	Loss 1.7129 (1.8266)	Prec@1 52.344 (52.149)	Prec@5 82.812 (81.699)
Epoch: [73][1250/14090]	Time 0.857 (0.768)	Data 0.001 (0.004)	Loss 1.9540 (1.8269)	Prec@1 47.656 (52.140)	Prec@5 84.375 (81.700)
Epoch: [73][1260/14090]	Time 0.749 (0.768)	Data 0.001 (0.004)	Loss 1.9991 (1.8266)	Prec@1 45.312 (52.137)	Prec@5 78.125 (81.707)
Epoch: [73][1270/14090]	Time 0.750 (0.768)	Data 0.001 (0.004)	Loss 1.9741 (1.8265)	Prec@1 50.781 (52.137)	Prec@5 78.906 (81.709)
Epoch: [73][1280/14090]	Time 0.723 (0.768)	Data 0.001 (0.004)	Loss 1.6631 (1.8262)	Prec@1 53.125 (52.147)	Prec@5 83.594 (81.716)
Epoch: [73][1290/14090]	Time 0.731 (0.768)	Data 0.001 (0.004)	Loss 1.8302 (1.8259)	Prec@1 48.438 (52.155)	Prec@5 82.812 (81.714)
Epoch: [73][1300/14090]	Time 0.739 (0.768)	Data 0.001 (0.004)	Loss 1.8486 (1.8253)	Prec@1 48.438 (52.176)	Prec@5 83.594 (81.718)
Epoch: [73][1310/14090]	Time 0.733 (0.768)	Data 0.001 (0.004)	Loss 1.7083 (1.8251)	Prec@1 53.906 (52.181)	Prec@5 84.375 (81.723)
Epoch: [73][1320/14090]	Time 0.858 (0.768)	Data 0.001 (0.004)	Loss 1.9881 (1.8254)	Prec@1 49.219 (52.171)	Prec@5 80.469 (81.718)
Epoch: [73][1330/14090]	Time 0.758 (0.768)	Data 0.001 (0.004)	Loss 1.8350 (1.8257)	Prec@1 49.219 (52.166)	Prec@5 78.906 (81.717)
Epoch: [73][1340/14090]	Time 0.762 (0.768)	Data 0.001 (0.004)	Loss 1.6579 (1.8251)	Prec@1 57.031 (52.186)	Prec@5 82.812 (81.728)
Epoch: [73][1350/14090]	Time 0.738 (0.768)	Data 0.001 (0.004)	Loss 1.8109 (1.8249)	Prec@1 53.906 (52.184)	Prec@5 77.344 (81.725)
Epoch: [73][1360/14090]	Time 0.735 (0.768)	Data 0.001 (0.004)	Loss 1.6376 (1.8253)	Prec@1 50.000 (52.162)	Prec@5 85.156 (81.720)
Epoch: [73][1370/14090]	Time 0.727 (0.768)	Data 0.001 (0.004)	Loss 1.9264 (1.8256)	Prec@1 50.000 (52.156)	Prec@5 82.812 (81.708)
Epoch: [73][1380/14090]	Time 0.751 (0.768)	Data 0.001 (0.004)	Loss 1.7576 (1.8253)	Prec@1 50.781 (52.158)	Prec@5 85.156 (81.713)
Epoch: [73][1390/14090]	Time 0.848 (0.768)	Data 0.001 (0.004)	Loss 1.7414 (1.8248)	Prec@1 57.031 (52.175)	Prec@5 82.812 (81.719)
Epoch: [73][1400/14090]	Time 0.754 (0.768)	Data 0.001 (0.004)	Loss 1.5539 (1.8244)	Prec@1 57.812 (52.181)	Prec@5 87.500 (81.721)
Epoch: [73][1410/14090]	Time 0.757 (0.768)	Data 0.001 (0.004)	Loss 1.7006 (1.8244)	Prec@1 56.250 (52.178)	Prec@5 80.469 (81.722)
Epoch: [73][1420/14090]	Time 0.740 (0.768)	Data 0.001 (0.004)	Loss 2.0135 (1.8245)	Prec@1 48.438 (52.170)	Prec@5 77.344 (81.717)
Epoch: [73][1430/14090]	Time 0.725 (0.768)	Data 0.001 (0.004)	Loss 1.6238 (1.8244)	Prec@1 58.594 (52.189)	Prec@5 84.375 (81.725)
Epoch: [73][1440/14090]	Time 0.749 (0.768)	Data 0.001 (0.004)	Loss 1.8053 (1.8240)	Prec@1 53.906 (52.194)	Prec@5 84.375 (81.729)
Epoch: [73][1450/14090]	Time 0.731 (0.768)	Data 0.001 (0.004)	Loss 1.7651 (1.8241)	Prec@1 50.781 (52.183)	Prec@5 85.938 (81.729)
Epoch: [73][1460/14090]	Time 0.872 (0.768)	Data 0.001 (0.004)	Loss 1.7980 (1.8244)	Prec@1 59.375 (52.183)	Prec@5 81.250 (81.719)
Epoch: [73][1470/14090]	Time 0.741 (0.768)	Data 0.001 (0.004)	Loss 1.4212 (1.8239)	Prec@1 64.062 (52.192)	Prec@5 87.500 (81.728)
Epoch: [73][1480/14090]	Time 0.760 (0.768)	Data 0.001 (0.004)	Loss 1.7093 (1.8244)	Prec@1 55.469 (52.201)	Prec@5 85.938 (81.722)
Epoch: [73][1490/14090]	Time 0.778 (0.768)	Data 0.001 (0.004)	Loss 1.9262 (1.8245)	Prec@1 48.438 (52.201)	Prec@5 79.688 (81.724)
Epoch: [73][1500/14090]	Time 0.766 (0.768)	Data 0.001 (0.004)	Loss 1.7581 (1.8241)	Prec@1 54.688 (52.216)	Prec@5 85.156 (81.735)
Epoch: [73][1510/14090]	Time 0.743 (0.768)	Data 0.001 (0.004)	Loss 1.9979 (1.8242)	Prec@1 55.469 (52.220)	Prec@5 76.562 (81.743)
Epoch: [73][1520/14090]	Time 0.753 (0.768)	Data 0.001 (0.004)	Loss 1.9258 (1.8236)	Prec@1 51.562 (52.236)	Prec@5 82.031 (81.754)
Epoch: [73][1530/14090]	Time 0.881 (0.768)	Data 0.001 (0.004)	Loss 1.7634 (1.8239)	Prec@1 53.906 (52.230)	Prec@5 82.812 (81.754)
Epoch: [73][1540/14090]	Time 0.720 (0.767)	Data 0.001 (0.004)	Loss 1.7565 (1.8237)	Prec@1 53.125 (52.234)	Prec@5 82.812 (81.759)
Epoch: [73][1550/14090]	Time 0.737 (0.767)	Data 0.001 (0.004)	Loss 1.7831 (1.8234)	Prec@1 52.344 (52.233)	Prec@5 80.469 (81.762)
Epoch: [73][1560/14090]	Time 0.737 (0.767)	Data 0.001 (0.004)	Loss 1.5518 (1.8226)	Prec@1 56.250 (52.249)	Prec@5 90.625 (81.777)
Epoch: [73][1570/14090]	Time 0.738 (0.767)	Data 0.001 (0.004)	Loss 1.8878 (1.8222)	Prec@1 51.562 (52.268)	Prec@5 79.688 (81.778)
Epoch: [73][1580/14090]	Time 0.723 (0.767)	Data 0.001 (0.004)	Loss 2.1753 (1.8224)	Prec@1 50.781 (52.265)	Prec@5 77.344 (81.774)
Epoch: [73][1590/14090]	Time 0.738 (0.767)	Data 0.001 (0.004)	Loss 1.7087 (1.8222)	Prec@1 53.906 (52.268)	Prec@5 79.688 (81.769)
Epoch: [73][1600/14090]	Time 0.881 (0.767)	Data 0.001 (0.004)	Loss 2.2856 (1.8227)	Prec@1 44.531 (52.263)	Prec@5 73.438 (81.756)
Epoch: [73][1610/14090]	Time 0.743 (0.767)	Data 0.001 (0.004)	Loss 1.6617 (1.8228)	Prec@1 59.375 (52.270)	Prec@5 82.031 (81.752)
Epoch: [73][1620/14090]	Time 0.762 (0.767)	Data 0.001 (0.004)	Loss 2.1247 (1.8226)	Prec@1 42.188 (52.272)	Prec@5 78.125 (81.757)
Epoch: [73][1630/14090]	Time 0.727 (0.767)	Data 0.001 (0.004)	Loss 1.6868 (1.8228)	Prec@1 57.812 (52.273)	Prec@5 85.156 (81.755)
Epoch: [73][1640/14090]	Time 0.770 (0.767)	Data 0.001 (0.004)	Loss 1.7506 (1.8230)	Prec@1 50.781 (52.276)	Prec@5 82.031 (81.750)
Epoch: [73][1650/14090]	Time 0.758 (0.767)	Data 0.001 (0.004)	Loss 2.2599 (1.8231)	Prec@1 43.750 (52.275)	Prec@5 78.125 (81.750)
Epoch: [73][1660/14090]	Time 0.725 (0.767)	Data 0.001 (0.004)	Loss 1.8471 (1.8232)	Prec@1 51.562 (52.276)	Prec@5 81.250 (81.748)
Epoch: [73][1670/14090]	Time 0.864 (0.767)	Data 0.001 (0.004)	Loss 1.5950 (1.8227)	Prec@1 52.344 (52.284)	Prec@5 85.938 (81.757)
Epoch: [73][1680/14090]	Time 0.767 (0.767)	Data 0.001 (0.003)	Loss 1.8920 (1.8225)	Prec@1 52.344 (52.292)	Prec@5 79.688 (81.761)
Epoch: [73][1690/14090]	Time 0.737 (0.767)	Data 0.001 (0.003)	Loss 1.8107 (1.8224)	Prec@1 52.344 (52.307)	Prec@5 83.594 (81.757)
Epoch: [73][1700/14090]	Time 0.771 (0.767)	Data 0.001 (0.003)	Loss 1.8022 (1.8224)	Prec@1 50.000 (52.305)	Prec@5 82.812 (81.750)
Epoch: [73][1710/14090]	Time 0.743 (0.767)	Data 0.001 (0.003)	Loss 2.1275 (1.8227)	Prec@1 46.875 (52.292)	Prec@5 74.219 (81.737)
Epoch: [73][1720/14090]	Time 0.723 (0.767)	Data 0.001 (0.003)	Loss 1.9768 (1.8229)	Prec@1 46.875 (52.284)	Prec@5 85.156 (81.736)
Epoch: [73][1730/14090]	Time 0.742 (0.767)	Data 0.001 (0.003)	Loss 1.7316 (1.8227)	Prec@1 55.469 (52.282)	Prec@5 78.906 (81.737)
Epoch: [73][1740/14090]	Time 0.868 (0.767)	Data 0.001 (0.003)	Loss 1.7823 (1.8224)	Prec@1 56.250 (52.288)	Prec@5 81.250 (81.741)
Epoch: [73][1750/14090]	Time 0.721 (0.767)	Data 0.001 (0.003)	Loss 1.8905 (1.8227)	Prec@1 53.125 (52.283)	Prec@5 82.031 (81.737)
Epoch: [73][1760/14090]	Time 0.755 (0.767)	Data 0.001 (0.003)	Loss 1.7579 (1.8226)	Prec@1 57.031 (52.285)	Prec@5 83.594 (81.735)
Epoch: [73][1770/14090]	Time 0.756 (0.767)	Data 0.001 (0.003)	Loss 2.0081 (1.8227)	Prec@1 43.750 (52.282)	Prec@5 75.781 (81.733)
Epoch: [73][1780/14090]	Time 0.763 (0.767)	Data 0.001 (0.003)	Loss 1.7678 (1.8226)	Prec@1 55.469 (52.288)	Prec@5 82.031 (81.733)
Epoch: [73][1790/14090]	Time 0.750 (0.767)	Data 0.001 (0.003)	Loss 1.9546 (1.8224)	Prec@1 46.875 (52.290)	Prec@5 81.250 (81.738)
Epoch: [73][1800/14090]	Time 0.744 (0.767)	Data 0.001 (0.003)	Loss 1.3760 (1.8218)	Prec@1 64.062 (52.301)	Prec@5 90.625 (81.748)
Epoch: [73][1810/14090]	Time 0.951 (0.767)	Data 0.001 (0.003)	Loss 1.7439 (1.8216)	Prec@1 53.125 (52.298)	Prec@5 82.812 (81.754)
Epoch: [73][1820/14090]	Time 0.730 (0.767)	Data 0.001 (0.003)	Loss 2.1154 (1.8215)	Prec@1 40.625 (52.296)	Prec@5 80.469 (81.754)
Epoch: [73][1830/14090]	Time 0.766 (0.767)	Data 0.001 (0.003)	Loss 1.6187 (1.8213)	Prec@1 54.688 (52.307)	Prec@5 85.938 (81.755)
Epoch: [73][1840/14090]	Time 0.772 (0.767)	Data 0.001 (0.003)	Loss 2.1527 (1.8210)	Prec@1 46.094 (52.314)	Prec@5 78.125 (81.759)
Epoch: [73][1850/14090]	Time 0.734 (0.767)	Data 0.001 (0.003)	Loss 1.8157 (1.8208)	Prec@1 52.344 (52.321)	Prec@5 84.375 (81.762)
Epoch: [73][1860/14090]	Time 0.745 (0.767)	Data 0.001 (0.003)	Loss 2.0280 (1.8210)	Prec@1 40.625 (52.319)	Prec@5 79.688 (81.760)
Epoch: [73][1870/14090]	Time 0.720 (0.767)	Data 0.001 (0.003)	Loss 1.7812 (1.8209)	Prec@1 49.219 (52.325)	Prec@5 83.594 (81.758)
Epoch: [73][1880/14090]	Time 0.968 (0.767)	Data 0.001 (0.003)	Loss 1.6526 (1.8209)	Prec@1 55.469 (52.320)	Prec@5 85.156 (81.759)
Epoch: [73][1890/14090]	Time 0.746 (0.767)	Data 0.001 (0.003)	Loss 1.8160 (1.8208)	Prec@1 48.438 (52.318)	Prec@5 85.156 (81.758)
Epoch: [73][1900/14090]	Time 0.744 (0.767)	Data 0.001 (0.003)	Loss 1.5926 (1.8206)	Prec@1 60.156 (52.328)	Prec@5 84.375 (81.762)
Epoch: [73][1910/14090]	Time 0.746 (0.767)	Data 0.001 (0.003)	Loss 1.5951 (1.8204)	Prec@1 57.812 (52.334)	Prec@5 86.719 (81.770)
Epoch: [73][1920/14090]	Time 0.749 (0.767)	Data 0.001 (0.003)	Loss 2.0009 (1.8202)	Prec@1 48.438 (52.338)	Prec@5 76.562 (81.772)
Epoch: [73][1930/14090]	Time 0.755 (0.767)	Data 0.001 (0.003)	Loss 1.8324 (1.8200)	Prec@1 55.469 (52.347)	Prec@5 82.031 (81.773)
Epoch: [73][1940/14090]	Time 0.762 (0.767)	Data 0.001 (0.003)	Loss 1.7678 (1.8201)	Prec@1 48.438 (52.343)	Prec@5 85.938 (81.778)
Epoch: [73][1950/14090]	Time 0.856 (0.767)	Data 0.001 (0.003)	Loss 1.9392 (1.8196)	Prec@1 48.438 (52.351)	Prec@5 84.375 (81.789)
Epoch: [73][1960/14090]	Time 0.738 (0.767)	Data 0.001 (0.003)	Loss 1.8648 (1.8197)	Prec@1 53.125 (52.345)	Prec@5 77.344 (81.784)
Epoch: [73][1970/14090]	Time 0.744 (0.767)	Data 0.001 (0.003)	Loss 1.6596 (1.8197)	Prec@1 57.031 (52.347)	Prec@5 88.281 (81.785)
Epoch: [73][1980/14090]	Time 0.772 (0.767)	Data 0.001 (0.003)	Loss 1.7733 (1.8198)	Prec@1 53.906 (52.344)	Prec@5 82.812 (81.782)
Epoch: [73][1990/14090]	Time 0.786 (0.767)	Data 0.001 (0.003)	Loss 1.8715 (1.8198)	Prec@1 54.688 (52.346)	Prec@5 82.812 (81.778)
Epoch: [73][2000/14090]	Time 0.754 (0.767)	Data 0.001 (0.003)	Loss 2.1082 (1.8202)	Prec@1 47.656 (52.338)	Prec@5 71.875 (81.773)
Epoch: [73][2010/14090]	Time 0.733 (0.767)	Data 0.001 (0.003)	Loss 1.7421 (1.8203)	Prec@1 60.938 (52.340)	Prec@5 80.469 (81.774)
Epoch: [73][2020/14090]	Time 0.856 (0.767)	Data 0.001 (0.003)	Loss 1.9468 (1.8204)	Prec@1 45.312 (52.336)	Prec@5 83.594 (81.778)
Epoch: [73][2030/14090]	Time 0.749 (0.767)	Data 0.001 (0.003)	Loss 1.8601 (1.8204)	Prec@1 53.906 (52.340)	Prec@5 78.906 (81.780)
Epoch: [73][2040/14090]	Time 0.735 (0.767)	Data 0.001 (0.003)	Loss 1.7565 (1.8205)	Prec@1 46.094 (52.334)	Prec@5 83.594 (81.779)
Epoch: [73][2050/14090]	Time 0.747 (0.767)	Data 0.001 (0.003)	Loss 1.9663 (1.8201)	Prec@1 51.562 (52.348)	Prec@5 75.781 (81.781)
Epoch: [73][2060/14090]	Time 0.745 (0.767)	Data 0.001 (0.003)	Loss 1.8451 (1.8202)	Prec@1 54.688 (52.347)	Prec@5 80.469 (81.777)
Epoch: [73][2070/14090]	Time 0.754 (0.767)	Data 0.001 (0.003)	Loss 1.7865 (1.8200)	Prec@1 52.344 (52.348)	Prec@5 82.812 (81.784)
Epoch: [73][2080/14090]	Time 0.760 (0.767)	Data 0.001 (0.003)	Loss 1.6881 (1.8202)	Prec@1 54.688 (52.352)	Prec@5 85.938 (81.782)
Epoch: [73][2090/14090]	Time 0.975 (0.767)	Data 0.001 (0.003)	Loss 1.7535 (1.8201)	Prec@1 54.688 (52.352)	Prec@5 85.938 (81.784)
Epoch: [73][2100/14090]	Time 0.727 (0.767)	Data 0.003 (0.003)	Loss 1.7967 (1.8203)	Prec@1 50.000 (52.352)	Prec@5 82.031 (81.781)
Epoch: [73][2110/14090]	Time 0.747 (0.767)	Data 0.001 (0.003)	Loss 2.0226 (1.8206)	Prec@1 42.969 (52.346)	Prec@5 79.688 (81.778)
Epoch: [73][2120/14090]	Time 0.772 (0.767)	Data 0.001 (0.003)	Loss 2.0326 (1.8208)	Prec@1 51.562 (52.342)	Prec@5 79.688 (81.774)
Epoch: [73][2130/14090]	Time 0.746 (0.767)	Data 0.001 (0.003)	Loss 2.0036 (1.8211)	Prec@1 46.875 (52.333)	Prec@5 78.906 (81.771)
Epoch: [73][2140/14090]	Time 0.749 (0.767)	Data 0.001 (0.003)	Loss 1.7293 (1.8212)	Prec@1 52.344 (52.319)	Prec@5 85.938 (81.770)
Epoch: [73][2150/14090]	Time 0.744 (0.767)	Data 0.001 (0.003)	Loss 1.9830 (1.8215)	Prec@1 45.312 (52.310)	Prec@5 81.250 (81.765)
Epoch: [73][2160/14090]	Time 0.915 (0.767)	Data 0.001 (0.003)	Loss 1.7126 (1.8213)	Prec@1 58.594 (52.308)	Prec@5 81.250 (81.772)
Epoch: [73][2170/14090]	Time 0.749 (0.767)	Data 0.001 (0.003)	Loss 1.6655 (1.8216)	Prec@1 57.812 (52.302)	Prec@5 82.812 (81.765)
Epoch: [73][2180/14090]	Time 0.748 (0.767)	Data 0.001 (0.003)	Loss 1.9853 (1.8214)	Prec@1 47.656 (52.306)	Prec@5 78.906 (81.765)
Epoch: [73][2190/14090]	Time 0.754 (0.767)	Data 0.001 (0.003)	Loss 1.7567 (1.8210)	Prec@1 57.031 (52.320)	Prec@5 82.812 (81.773)
Epoch: [73][2200/14090]	Time 0.750 (0.767)	Data 0.001 (0.003)	Loss 1.7366 (1.8209)	Prec@1 54.688 (52.332)	Prec@5 82.031 (81.771)
Epoch: [73][2210/14090]	Time 0.758 (0.767)	Data 0.001 (0.003)	Loss 1.7883 (1.8203)	Prec@1 50.781 (52.348)	Prec@5 82.031 (81.779)
Epoch: [73][2220/14090]	Time 0.752 (0.767)	Data 0.001 (0.003)	Loss 1.6875 (1.8201)	Prec@1 57.031 (52.352)	Prec@5 83.594 (81.783)
Epoch: [73][2230/14090]	Time 0.865 (0.767)	Data 0.001 (0.003)	Loss 1.8434 (1.8204)	Prec@1 53.125 (52.343)	Prec@5 82.812 (81.781)
Epoch: [73][2240/14090]	Time 0.764 (0.767)	Data 0.001 (0.003)	Loss 1.8920 (1.8207)	Prec@1 56.250 (52.334)	Prec@5 79.688 (81.779)
Epoch: [73][2250/14090]	Time 0.749 (0.767)	Data 0.001 (0.003)	Loss 2.1416 (1.8204)	Prec@1 45.312 (52.343)	Prec@5 76.562 (81.783)
Epoch: [73][2260/14090]	Time 0.737 (0.767)	Data 0.001 (0.003)	Loss 1.8362 (1.8205)	Prec@1 54.688 (52.350)	Prec@5 80.469 (81.782)
Epoch: [73][2270/14090]	Time 0.755 (0.767)	Data 0.001 (0.003)	Loss 1.6561 (1.8203)	Prec@1 55.469 (52.352)	Prec@5 82.031 (81.783)
Epoch: [73][2280/14090]	Time 0.752 (0.767)	Data 0.001 (0.003)	Loss 1.5174 (1.8203)	Prec@1 58.594 (52.356)	Prec@5 80.469 (81.776)
Epoch: [73][2290/14090]	Time 0.792 (0.767)	Data 0.001 (0.003)	Loss 1.7529 (1.8203)	Prec@1 52.344 (52.350)	Prec@5 84.375 (81.779)
Epoch: [73][2300/14090]	Time 0.862 (0.767)	Data 0.001 (0.003)	Loss 1.9524 (1.8204)	Prec@1 48.438 (52.355)	Prec@5 75.781 (81.775)
Epoch: [73][2310/14090]	Time 0.754 (0.767)	Data 0.001 (0.003)	Loss 2.0465 (1.8202)	Prec@1 48.438 (52.353)	Prec@5 77.344 (81.777)
Epoch: [73][2320/14090]	Time 0.729 (0.767)	Data 0.001 (0.003)	Loss 2.0775 (1.8201)	Prec@1 48.438 (52.349)	Prec@5 76.562 (81.776)
Epoch: [73][2330/14090]	Time 0.720 (0.767)	Data 0.001 (0.003)	Loss 2.0204 (1.8202)	Prec@1 50.781 (52.354)	Prec@5 77.344 (81.776)
Epoch: [73][2340/14090]	Time 0.748 (0.767)	Data 0.001 (0.003)	Loss 2.0496 (1.8203)	Prec@1 50.000 (52.360)	Prec@5 75.000 (81.770)
Epoch: [73][2350/14090]	Time 0.723 (0.767)	Data 0.001 (0.003)	Loss 1.9353 (1.8203)	Prec@1 51.562 (52.358)	Prec@5 80.469 (81.772)
Epoch: [73][2360/14090]	Time 0.761 (0.767)	Data 0.001 (0.003)	Loss 1.9575 (1.8205)	Prec@1 50.000 (52.356)	Prec@5 74.219 (81.768)
Epoch: [73][2370/14090]	Time 0.901 (0.767)	Data 0.001 (0.003)	Loss 1.7842 (1.8209)	Prec@1 54.688 (52.351)	Prec@5 82.812 (81.760)
Epoch: [73][2380/14090]	Time 0.741 (0.767)	Data 0.002 (0.003)	Loss 1.8364 (1.8210)	Prec@1 53.125 (52.345)	Prec@5 78.906 (81.759)
Epoch: [73][2390/14090]	Time 0.759 (0.767)	Data 0.001 (0.003)	Loss 1.7005 (1.8212)	Prec@1 53.906 (52.342)	Prec@5 78.906 (81.748)
Epoch: [73][2400/14090]	Time 0.742 (0.767)	Data 0.001 (0.003)	Loss 1.7180 (1.8213)	Prec@1 57.812 (52.344)	Prec@5 83.594 (81.746)
Epoch: [73][2410/14090]	Time 0.755 (0.767)	Data 0.001 (0.003)	Loss 1.7509 (1.8213)	Prec@1 54.688 (52.339)	Prec@5 85.156 (81.746)
Epoch: [73][2420/14090]	Time 0.782 (0.767)	Data 0.001 (0.003)	Loss 1.5475 (1.8214)	Prec@1 60.156 (52.345)	Prec@5 84.375 (81.741)
Epoch: [73][2430/14090]	Time 0.766 (0.767)	Data 0.001 (0.003)	Loss 1.9463 (1.8217)	Prec@1 52.344 (52.349)	Prec@5 79.688 (81.738)
Epoch: [73][2440/14090]	Time 0.839 (0.767)	Data 0.001 (0.003)	Loss 1.5783 (1.8216)	Prec@1 60.938 (52.346)	Prec@5 83.594 (81.738)
Epoch: [73][2450/14090]	Time 0.748 (0.767)	Data 0.001 (0.003)	Loss 1.9837 (1.8216)	Prec@1 50.000 (52.346)	Prec@5 77.344 (81.741)
Epoch: [73][2460/14090]	Time 0.742 (0.767)	Data 0.001 (0.003)	Loss 1.8270 (1.8214)	Prec@1 57.812 (52.346)	Prec@5 78.906 (81.743)
Epoch: [73][2470/14090]	Time 0.769 (0.767)	Data 0.001 (0.003)	Loss 1.7528 (1.8216)	Prec@1 54.688 (52.342)	Prec@5 82.812 (81.737)
Epoch: [73][2480/14090]	Time 0.749 (0.767)	Data 0.001 (0.003)	Loss 1.7353 (1.8215)	Prec@1 56.250 (52.350)	Prec@5 82.812 (81.740)
Epoch: [73][2490/14090]	Time 0.749 (0.767)	Data 0.001 (0.003)	Loss 1.7537 (1.8215)	Prec@1 53.906 (52.355)	Prec@5 83.594 (81.738)
Epoch: [73][2500/14090]	Time 0.746 (0.767)	Data 0.001 (0.003)	Loss 1.9812 (1.8216)	Prec@1 42.188 (52.343)	Prec@5 81.250 (81.737)
Epoch: [73][2510/14090]	Time 0.875 (0.767)	Data 0.001 (0.003)	Loss 2.0092 (1.8219)	Prec@1 48.438 (52.337)	Prec@5 79.688 (81.729)
Epoch: [73][2520/14090]	Time 0.753 (0.767)	Data 0.001 (0.003)	Loss 1.7828 (1.8218)	Prec@1 54.688 (52.338)	Prec@5 82.031 (81.730)
Epoch: [73][2530/14090]	Time 0.759 (0.767)	Data 0.001 (0.003)	Loss 1.7135 (1.8217)	Prec@1 50.781 (52.335)	Prec@5 83.594 (81.734)
Epoch: [73][2540/14090]	Time 0.752 (0.767)	Data 0.001 (0.003)	Loss 1.7718 (1.8217)	Prec@1 55.469 (52.331)	Prec@5 79.688 (81.733)
Epoch: [73][2550/14090]	Time 0.755 (0.767)	Data 0.001 (0.003)	Loss 1.6544 (1.8219)	Prec@1 53.906 (52.323)	Prec@5 83.594 (81.727)
Epoch: [73][2560/14090]	Time 0.740 (0.767)	Data 0.001 (0.003)	Loss 1.8810 (1.8222)	Prec@1 50.781 (52.312)	Prec@5 80.469 (81.728)
Epoch: [73][2570/14090]	Time 0.748 (0.767)	Data 0.001 (0.003)	Loss 1.6138 (1.8222)	Prec@1 59.375 (52.310)	Prec@5 85.938 (81.725)
Epoch: [73][2580/14090]	Time 0.874 (0.767)	Data 0.001 (0.003)	Loss 1.8839 (1.8223)	Prec@1 49.219 (52.305)	Prec@5 82.031 (81.727)
Epoch: [73][2590/14090]	Time 0.755 (0.767)	Data 0.001 (0.003)	Loss 1.8208 (1.8223)	Prec@1 45.312 (52.305)	Prec@5 82.812 (81.728)
Epoch: [73][2600/14090]	Time 0.748 (0.767)	Data 0.001 (0.003)	Loss 1.8761 (1.8220)	Prec@1 49.219 (52.310)	Prec@5 82.031 (81.734)
Epoch: [73][2610/14090]	Time 0.738 (0.767)	Data 0.001 (0.003)	Loss 1.8273 (1.8218)	Prec@1 50.000 (52.316)	Prec@5 83.594 (81.734)
Epoch: [73][2620/14090]	Time 0.758 (0.767)	Data 0.001 (0.003)	Loss 1.6749 (1.8219)	Prec@1 52.344 (52.315)	Prec@5 84.375 (81.730)
Epoch: [73][2630/14090]	Time 0.753 (0.767)	Data 0.001 (0.003)	Loss 1.9304 (1.8221)	Prec@1 42.969 (52.309)	Prec@5 78.906 (81.725)
Epoch: [73][2640/14090]	Time 0.761 (0.767)	Data 0.001 (0.003)	Loss 1.7407 (1.8223)	Prec@1 52.344 (52.301)	Prec@5 80.469 (81.723)
Epoch: [73][2650/14090]	Time 0.866 (0.767)	Data 0.001 (0.003)	Loss 1.9985 (1.8226)	Prec@1 51.562 (52.295)	Prec@5 75.781 (81.714)
Epoch: [73][2660/14090]	Time 0.726 (0.767)	Data 0.001 (0.003)	Loss 1.7463 (1.8226)	Prec@1 59.375 (52.299)	Prec@5 84.375 (81.715)
Epoch: [73][2670/14090]	Time 0.756 (0.767)	Data 0.001 (0.003)	Loss 2.0482 (1.8229)	Prec@1 46.875 (52.290)	Prec@5 75.781 (81.708)
Epoch: [73][2680/14090]	Time 0.729 (0.767)	Data 0.001 (0.003)	Loss 1.7972 (1.8226)	Prec@1 46.875 (52.293)	Prec@5 85.156 (81.712)
Epoch: [73][2690/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 1.9905 (1.8226)	Prec@1 50.781 (52.292)	Prec@5 82.812 (81.710)
Epoch: [73][2700/14090]	Time 0.757 (0.767)	Data 0.001 (0.002)	Loss 1.6779 (1.8226)	Prec@1 57.031 (52.299)	Prec@5 82.812 (81.712)
Epoch: [73][2710/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 1.7093 (1.8226)	Prec@1 54.688 (52.299)	Prec@5 82.812 (81.713)
Epoch: [73][2720/14090]	Time 0.863 (0.767)	Data 0.001 (0.002)	Loss 1.6218 (1.8224)	Prec@1 55.469 (52.313)	Prec@5 86.719 (81.716)
Epoch: [73][2730/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 1.7859 (1.8223)	Prec@1 47.656 (52.322)	Prec@5 84.375 (81.713)
Epoch: [73][2740/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 2.0840 (1.8223)	Prec@1 46.094 (52.319)	Prec@5 76.562 (81.711)
Epoch: [73][2750/14090]	Time 0.761 (0.767)	Data 0.001 (0.002)	Loss 1.8498 (1.8222)	Prec@1 53.906 (52.320)	Prec@5 83.594 (81.716)
Epoch: [73][2760/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.0490 (1.8222)	Prec@1 52.344 (52.317)	Prec@5 77.344 (81.719)
Epoch: [73][2770/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 2.1312 (1.8222)	Prec@1 46.094 (52.315)	Prec@5 75.781 (81.717)
Epoch: [73][2780/14090]	Time 0.761 (0.767)	Data 0.001 (0.002)	Loss 1.7548 (1.8223)	Prec@1 52.344 (52.315)	Prec@5 82.812 (81.715)
Epoch: [73][2790/14090]	Time 0.870 (0.767)	Data 0.001 (0.002)	Loss 1.5767 (1.8219)	Prec@1 56.250 (52.323)	Prec@5 86.719 (81.721)
Epoch: [73][2800/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 1.8747 (1.8222)	Prec@1 50.781 (52.317)	Prec@5 83.594 (81.718)
Epoch: [73][2810/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 1.9329 (1.8224)	Prec@1 49.219 (52.313)	Prec@5 78.125 (81.711)
Epoch: [73][2820/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 2.0990 (1.8222)	Prec@1 45.312 (52.315)	Prec@5 78.125 (81.716)
Epoch: [73][2830/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 1.8739 (1.8222)	Prec@1 50.000 (52.314)	Prec@5 75.000 (81.708)
Epoch: [73][2840/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 1.9515 (1.8222)	Prec@1 47.656 (52.318)	Prec@5 82.812 (81.706)
Epoch: [73][2850/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 2.0818 (1.8223)	Prec@1 39.844 (52.314)	Prec@5 78.125 (81.706)
Epoch: [73][2860/14090]	Time 0.860 (0.767)	Data 0.001 (0.002)	Loss 2.1258 (1.8224)	Prec@1 45.312 (52.310)	Prec@5 79.688 (81.704)
Epoch: [73][2870/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 1.6253 (1.8225)	Prec@1 53.906 (52.303)	Prec@5 89.844 (81.704)
Epoch: [73][2880/14090]	Time 0.780 (0.767)	Data 0.001 (0.002)	Loss 1.9885 (1.8225)	Prec@1 45.312 (52.308)	Prec@5 77.344 (81.702)
Epoch: [73][2890/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 1.7856 (1.8225)	Prec@1 57.031 (52.312)	Prec@5 78.906 (81.701)
Epoch: [73][2900/14090]	Time 0.728 (0.767)	Data 0.001 (0.002)	Loss 1.8587 (1.8226)	Prec@1 50.000 (52.310)	Prec@5 81.250 (81.700)
Epoch: [73][2910/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 1.8990 (1.8227)	Prec@1 50.781 (52.308)	Prec@5 75.781 (81.700)
Epoch: [73][2920/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 1.5714 (1.8227)	Prec@1 53.906 (52.311)	Prec@5 85.938 (81.698)
Epoch: [73][2930/14090]	Time 0.879 (0.767)	Data 0.001 (0.002)	Loss 1.9431 (1.8230)	Prec@1 53.906 (52.307)	Prec@5 81.250 (81.689)
Epoch: [73][2940/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 1.9580 (1.8231)	Prec@1 52.344 (52.300)	Prec@5 79.688 (81.687)
Epoch: [73][2950/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 2.0842 (1.8232)	Prec@1 49.219 (52.300)	Prec@5 78.125 (81.687)
Epoch: [73][2960/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 1.9301 (1.8232)	Prec@1 52.344 (52.300)	Prec@5 79.688 (81.688)
Epoch: [73][2970/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 1.7746 (1.8232)	Prec@1 53.906 (52.304)	Prec@5 85.156 (81.687)
Epoch: [73][2980/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 1.8745 (1.8232)	Prec@1 56.250 (52.307)	Prec@5 80.469 (81.685)
Epoch: [73][2990/14090]	Time 0.773 (0.767)	Data 0.001 (0.002)	Loss 1.7969 (1.8233)	Prec@1 46.094 (52.304)	Prec@5 82.031 (81.682)
Epoch: [73][3000/14090]	Time 0.847 (0.767)	Data 0.001 (0.002)	Loss 1.8405 (1.8234)	Prec@1 49.219 (52.295)	Prec@5 82.031 (81.678)
Epoch: [73][3010/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 1.8678 (1.8236)	Prec@1 54.688 (52.294)	Prec@5 80.469 (81.667)
Epoch: [73][3020/14090]	Time 0.766 (0.767)	Data 0.001 (0.002)	Loss 1.7160 (1.8231)	Prec@1 54.688 (52.308)	Prec@5 85.156 (81.676)
Epoch: [73][3030/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 1.8634 (1.8233)	Prec@1 52.344 (52.297)	Prec@5 80.469 (81.672)
Epoch: [73][3040/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 1.6743 (1.8233)	Prec@1 57.812 (52.299)	Prec@5 82.031 (81.671)
Epoch: [73][3050/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 1.7167 (1.8233)	Prec@1 51.562 (52.296)	Prec@5 89.062 (81.675)
Epoch: [73][3060/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 1.7534 (1.8235)	Prec@1 57.812 (52.294)	Prec@5 79.688 (81.674)
Epoch: [73][3070/14090]	Time 0.853 (0.767)	Data 0.001 (0.002)	Loss 1.8330 (1.8234)	Prec@1 50.781 (52.299)	Prec@5 82.031 (81.674)
Epoch: [73][3080/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 1.8174 (1.8234)	Prec@1 53.125 (52.304)	Prec@5 79.688 (81.673)
Epoch: [73][3090/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 1.8492 (1.8233)	Prec@1 51.562 (52.308)	Prec@5 82.812 (81.676)
Epoch: [73][3100/14090]	Time 0.726 (0.767)	Data 0.001 (0.002)	Loss 1.9509 (1.8236)	Prec@1 49.219 (52.301)	Prec@5 76.562 (81.672)
Epoch: [73][3110/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 1.9229 (1.8235)	Prec@1 46.875 (52.301)	Prec@5 78.906 (81.673)
Epoch: [73][3120/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.1617 (1.8236)	Prec@1 47.656 (52.302)	Prec@5 77.344 (81.677)
Epoch: [73][3130/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 1.8667 (1.8237)	Prec@1 54.688 (52.301)	Prec@5 78.125 (81.674)
Epoch: [73][3140/14090]	Time 0.905 (0.767)	Data 0.001 (0.002)	Loss 1.8284 (1.8239)	Prec@1 55.469 (52.302)	Prec@5 79.688 (81.670)
Epoch: [73][3150/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 1.9371 (1.8238)	Prec@1 51.562 (52.300)	Prec@5 82.031 (81.670)
Epoch: [73][3160/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 1.9509 (1.8239)	Prec@1 44.531 (52.299)	Prec@5 84.375 (81.669)
Epoch: [73][3170/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 1.7088 (1.8239)	Prec@1 53.125 (52.301)	Prec@5 81.250 (81.665)
Epoch: [73][3180/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 1.8141 (1.8242)	Prec@1 51.562 (52.294)	Prec@5 82.031 (81.664)
Epoch: [73][3190/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 1.9614 (1.8242)	Prec@1 45.312 (52.295)	Prec@5 82.812 (81.664)
Epoch: [73][3200/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 1.8549 (1.8241)	Prec@1 51.562 (52.298)	Prec@5 79.688 (81.663)
Epoch: [73][3210/14090]	Time 0.879 (0.767)	Data 0.001 (0.002)	Loss 1.8037 (1.8242)	Prec@1 55.469 (52.297)	Prec@5 82.812 (81.660)
Epoch: [73][3220/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 1.6773 (1.8242)	Prec@1 56.250 (52.292)	Prec@5 82.812 (81.657)
Epoch: [73][3230/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 1.9979 (1.8242)	Prec@1 46.094 (52.294)	Prec@5 78.125 (81.661)
Epoch: [73][3240/14090]	Time 0.765 (0.767)	Data 0.001 (0.002)	Loss 1.7024 (1.8241)	Prec@1 59.375 (52.293)	Prec@5 85.156 (81.664)
Epoch: [73][3250/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 1.7758 (1.8242)	Prec@1 48.438 (52.298)	Prec@5 82.812 (81.660)
Epoch: [73][3260/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 1.9936 (1.8242)	Prec@1 53.125 (52.295)	Prec@5 80.469 (81.663)
Epoch: [73][3270/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 1.7076 (1.8242)	Prec@1 53.125 (52.291)	Prec@5 83.594 (81.664)
Epoch: [73][3280/14090]	Time 0.863 (0.767)	Data 0.001 (0.002)	Loss 1.7979 (1.8243)	Prec@1 54.688 (52.293)	Prec@5 81.250 (81.661)
Epoch: [73][3290/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 1.8277 (1.8241)	Prec@1 46.875 (52.293)	Prec@5 85.156 (81.665)
Epoch: [73][3300/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 1.8844 (1.8244)	Prec@1 49.219 (52.286)	Prec@5 80.469 (81.663)
Epoch: [73][3310/14090]	Time 0.727 (0.767)	Data 0.001 (0.002)	Loss 1.8171 (1.8245)	Prec@1 54.688 (52.284)	Prec@5 82.031 (81.663)
Epoch: [73][3320/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 1.9093 (1.8243)	Prec@1 51.562 (52.285)	Prec@5 78.125 (81.666)
Epoch: [73][3330/14090]	Time 0.722 (0.767)	Data 0.000 (0.002)	Loss 1.5665 (1.8241)	Prec@1 55.469 (52.280)	Prec@5 86.719 (81.668)
Epoch: [73][3340/14090]	Time 0.762 (0.767)	Data 0.001 (0.002)	Loss 1.6123 (1.8242)	Prec@1 52.344 (52.279)	Prec@5 87.500 (81.669)
Epoch: [73][3350/14090]	Time 0.847 (0.767)	Data 0.001 (0.002)	Loss 1.8991 (1.8240)	Prec@1 53.125 (52.285)	Prec@5 81.250 (81.673)
Epoch: [73][3360/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 1.9188 (1.8240)	Prec@1 45.312 (52.278)	Prec@5 80.469 (81.673)
Epoch: [73][3370/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 1.6972 (1.8240)	Prec@1 57.031 (52.280)	Prec@5 85.938 (81.673)
Epoch: [73][3380/14090]	Time 0.762 (0.767)	Data 0.001 (0.002)	Loss 1.8295 (1.8240)	Prec@1 52.344 (52.283)	Prec@5 83.594 (81.674)
Epoch: [73][3390/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 1.7826 (1.8240)	Prec@1 55.469 (52.276)	Prec@5 82.031 (81.673)
Epoch: [73][3400/14090]	Time 0.776 (0.767)	Data 0.001 (0.002)	Loss 1.5878 (1.8241)	Prec@1 56.250 (52.282)	Prec@5 89.062 (81.673)
Epoch: [73][3410/14090]	Time 0.762 (0.767)	Data 0.001 (0.002)	Loss 1.7926 (1.8243)	Prec@1 46.875 (52.280)	Prec@5 82.812 (81.668)
Epoch: [73][3420/14090]	Time 0.848 (0.767)	Data 0.001 (0.002)	Loss 1.9388 (1.8241)	Prec@1 50.781 (52.282)	Prec@5 78.125 (81.671)
Epoch: [73][3430/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 1.9466 (1.8240)	Prec@1 50.000 (52.282)	Prec@5 76.562 (81.674)
Epoch: [73][3440/14090]	Time 0.771 (0.767)	Data 0.001 (0.002)	Loss 1.7424 (1.8242)	Prec@1 50.000 (52.279)	Prec@5 83.594 (81.672)
Epoch: [73][3450/14090]	Time 0.728 (0.767)	Data 0.001 (0.002)	Loss 1.7653 (1.8240)	Prec@1 52.344 (52.285)	Prec@5 83.594 (81.673)
Epoch: [73][3460/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 1.9774 (1.8242)	Prec@1 50.781 (52.279)	Prec@5 80.469 (81.666)
Epoch: [73][3470/14090]	Time 0.725 (0.766)	Data 0.002 (0.002)	Loss 1.8643 (1.8242)	Prec@1 52.344 (52.279)	Prec@5 79.688 (81.669)
Epoch: [73][3480/14090]	Time 0.765 (0.766)	Data 0.001 (0.002)	Loss 1.9968 (1.8242)	Prec@1 47.656 (52.280)	Prec@5 80.469 (81.670)
Epoch: [73][3490/14090]	Time 0.846 (0.766)	Data 0.001 (0.002)	Loss 1.9561 (1.8242)	Prec@1 50.781 (52.276)	Prec@5 78.906 (81.670)
Epoch: [73][3500/14090]	Time 0.763 (0.766)	Data 0.001 (0.002)	Loss 1.7785 (1.8243)	Prec@1 52.344 (52.275)	Prec@5 85.938 (81.668)
Epoch: [73][3510/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 1.9870 (1.8244)	Prec@1 51.562 (52.279)	Prec@5 77.344 (81.665)
Epoch: [73][3520/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 1.6984 (1.8243)	Prec@1 56.250 (52.281)	Prec@5 83.594 (81.666)
Epoch: [73][3530/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 1.6454 (1.8243)	Prec@1 55.469 (52.277)	Prec@5 84.375 (81.666)
Epoch: [73][3540/14090]	Time 0.797 (0.766)	Data 0.001 (0.002)	Loss 1.8924 (1.8244)	Prec@1 52.344 (52.271)	Prec@5 77.344 (81.664)
Epoch: [73][3550/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 2.3039 (1.8245)	Prec@1 44.531 (52.269)	Prec@5 72.656 (81.663)
Epoch: [73][3560/14090]	Time 0.837 (0.766)	Data 0.001 (0.002)	Loss 1.9130 (1.8245)	Prec@1 49.219 (52.270)	Prec@5 82.812 (81.662)
Epoch: [73][3570/14090]	Time 0.721 (0.766)	Data 0.001 (0.002)	Loss 1.6255 (1.8247)	Prec@1 49.219 (52.261)	Prec@5 84.375 (81.660)
Epoch: [73][3580/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 1.7953 (1.8246)	Prec@1 53.125 (52.264)	Prec@5 81.250 (81.659)
Epoch: [73][3590/14090]	Time 0.758 (0.766)	Data 0.004 (0.002)	Loss 1.9681 (1.8245)	Prec@1 50.781 (52.268)	Prec@5 78.125 (81.663)
Epoch: [73][3600/14090]	Time 0.786 (0.766)	Data 0.001 (0.002)	Loss 1.8061 (1.8246)	Prec@1 55.469 (52.269)	Prec@5 80.469 (81.658)
Epoch: [73][3610/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 1.6520 (1.8244)	Prec@1 56.250 (52.273)	Prec@5 83.594 (81.661)
Epoch: [73][3620/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 2.1211 (1.8245)	Prec@1 42.969 (52.265)	Prec@5 75.000 (81.656)
Epoch: [73][3630/14090]	Time 0.844 (0.766)	Data 0.001 (0.002)	Loss 1.8087 (1.8245)	Prec@1 50.781 (52.265)	Prec@5 81.250 (81.657)
Epoch: [73][3640/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 1.9404 (1.8245)	Prec@1 53.125 (52.267)	Prec@5 81.250 (81.658)
Epoch: [73][3650/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 1.9381 (1.8246)	Prec@1 50.781 (52.267)	Prec@5 78.906 (81.654)
Epoch: [73][3660/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 1.8181 (1.8244)	Prec@1 52.344 (52.270)	Prec@5 79.688 (81.657)
Epoch: [73][3670/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.1983 (1.8245)	Prec@1 40.625 (52.267)	Prec@5 75.781 (81.656)
Epoch: [73][3680/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.0187 (1.8245)	Prec@1 49.219 (52.269)	Prec@5 77.344 (81.654)
Epoch: [73][3690/14090]	Time 0.775 (0.766)	Data 0.001 (0.002)	Loss 1.7748 (1.8246)	Prec@1 53.125 (52.267)	Prec@5 79.688 (81.652)
Epoch: [73][3700/14090]	Time 0.830 (0.766)	Data 0.001 (0.002)	Loss 1.6942 (1.8245)	Prec@1 61.719 (52.272)	Prec@5 84.375 (81.650)
Epoch: [73][3710/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 1.7210 (1.8244)	Prec@1 58.594 (52.274)	Prec@5 82.812 (81.652)
Epoch: [73][3720/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 1.9749 (1.8245)	Prec@1 50.781 (52.269)	Prec@5 78.125 (81.651)
Epoch: [73][3730/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 1.8581 (1.8247)	Prec@1 48.438 (52.265)	Prec@5 81.250 (81.647)
Epoch: [73][3740/14090]	Time 0.727 (0.766)	Data 0.001 (0.002)	Loss 1.9606 (1.8247)	Prec@1 44.531 (52.268)	Prec@5 81.250 (81.650)
Epoch: [73][3750/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 1.7244 (1.8247)	Prec@1 51.562 (52.265)	Prec@5 82.812 (81.650)
Epoch: [73][3760/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 1.9404 (1.8247)	Prec@1 49.219 (52.263)	Prec@5 78.906 (81.651)
Epoch: [73][3770/14090]	Time 0.961 (0.766)	Data 0.001 (0.002)	Loss 1.7674 (1.8246)	Prec@1 56.250 (52.263)	Prec@5 82.031 (81.655)
Epoch: [73][3780/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 1.7075 (1.8246)	Prec@1 62.500 (52.264)	Prec@5 84.375 (81.653)
Epoch: [73][3790/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 1.4620 (1.8246)	Prec@1 59.375 (52.259)	Prec@5 92.188 (81.653)
Epoch: [73][3800/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 1.8000 (1.8243)	Prec@1 51.562 (52.266)	Prec@5 84.375 (81.660)
Epoch: [73][3810/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 1.8442 (1.8244)	Prec@1 50.000 (52.266)	Prec@5 78.125 (81.659)
Epoch: [73][3820/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.3868 (1.8247)	Prec@1 42.188 (52.259)	Prec@5 75.781 (81.655)
Epoch: [73][3830/14090]	Time 0.771 (0.766)	Data 0.001 (0.002)	Loss 1.7897 (1.8245)	Prec@1 53.125 (52.258)	Prec@5 82.031 (81.658)
Epoch: [73][3840/14090]	Time 0.876 (0.766)	Data 0.002 (0.002)	Loss 1.7318 (1.8245)	Prec@1 54.688 (52.262)	Prec@5 82.812 (81.657)
Epoch: [73][3850/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 1.8041 (1.8247)	Prec@1 56.250 (52.258)	Prec@5 83.594 (81.653)
Epoch: [73][3860/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 1.9914 (1.8248)	Prec@1 46.875 (52.253)	Prec@5 80.469 (81.653)
Epoch: [73][3870/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 1.8252 (1.8248)	Prec@1 50.781 (52.255)	Prec@5 82.812 (81.652)
Epoch: [73][3880/14090]	Time 0.774 (0.766)	Data 0.001 (0.002)	Loss 1.7078 (1.8249)	Prec@1 48.438 (52.247)	Prec@5 84.375 (81.650)
Epoch: [73][3890/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 1.8709 (1.8249)	Prec@1 57.031 (52.249)	Prec@5 82.031 (81.649)
Epoch: [73][3900/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 1.7654 (1.8250)	Prec@1 46.875 (52.244)	Prec@5 82.812 (81.655)
Epoch: [73][3910/14090]	Time 0.874 (0.766)	Data 0.001 (0.002)	Loss 1.9341 (1.8251)	Prec@1 51.562 (52.239)	Prec@5 75.781 (81.651)
Epoch: [73][3920/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 1.4225 (1.8251)	Prec@1 64.062 (52.239)	Prec@5 89.844 (81.650)
Epoch: [73][3930/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 2.0277 (1.8250)	Prec@1 51.562 (52.240)	Prec@5 76.562 (81.653)
Epoch: [73][3940/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 1.6644 (1.8248)	Prec@1 62.500 (52.248)	Prec@5 84.375 (81.658)
Epoch: [73][3950/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 2.0230 (1.8249)	Prec@1 46.875 (52.245)	Prec@5 78.906 (81.657)
Epoch: [73][3960/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 1.7538 (1.8250)	Prec@1 55.469 (52.245)	Prec@5 81.250 (81.655)
Epoch: [73][3970/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 1.7349 (1.8249)	Prec@1 60.156 (52.245)	Prec@5 82.812 (81.656)
Epoch: [73][3980/14090]	Time 0.823 (0.766)	Data 0.001 (0.002)	Loss 1.6815 (1.8249)	Prec@1 57.812 (52.247)	Prec@5 86.719 (81.655)
Epoch: [73][3990/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 1.5606 (1.8247)	Prec@1 60.938 (52.253)	Prec@5 86.719 (81.657)
Epoch: [73][4000/14090]	Time 0.775 (0.766)	Data 0.001 (0.002)	Loss 1.9238 (1.8245)	Prec@1 50.781 (52.261)	Prec@5 75.781 (81.657)
Epoch: [73][4010/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 1.5560 (1.8244)	Prec@1 57.812 (52.262)	Prec@5 88.281 (81.658)
Epoch: [73][4020/14090]	Time 0.777 (0.766)	Data 0.001 (0.002)	Loss 1.7256 (1.8243)	Prec@1 49.219 (52.262)	Prec@5 85.938 (81.658)
Epoch: [73][4030/14090]	Time 0.763 (0.766)	Data 0.001 (0.002)	Loss 1.7017 (1.8241)	Prec@1 53.906 (52.271)	Prec@5 88.281 (81.663)
Epoch: [73][4040/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 1.7761 (1.8243)	Prec@1 53.906 (52.270)	Prec@5 81.250 (81.659)
Epoch: [73][4050/14090]	Time 0.879 (0.766)	Data 0.001 (0.002)	Loss 1.9190 (1.8245)	Prec@1 54.688 (52.265)	Prec@5 81.250 (81.657)
Epoch: [73][4060/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.0345 (1.8245)	Prec@1 50.781 (52.265)	Prec@5 75.000 (81.653)
Epoch: [73][4070/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 2.1390 (1.8245)	Prec@1 42.969 (52.266)	Prec@5 75.781 (81.654)
Epoch: [73][4080/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 1.9360 (1.8247)	Prec@1 47.656 (52.263)	Prec@5 80.469 (81.651)
Epoch: [73][4090/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 1.8013 (1.8245)	Prec@1 50.781 (52.266)	Prec@5 85.156 (81.656)
Epoch: [73][4100/14090]	Time 0.761 (0.766)	Data 0.001 (0.002)	Loss 1.9867 (1.8246)	Prec@1 46.875 (52.263)	Prec@5 78.906 (81.656)
Epoch: [73][4110/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 1.6907 (1.8244)	Prec@1 50.000 (52.265)	Prec@5 82.031 (81.660)
Epoch: [73][4120/14090]	Time 0.870 (0.766)	Data 0.001 (0.002)	Loss 1.8322 (1.8243)	Prec@1 50.000 (52.265)	Prec@5 81.250 (81.663)
Epoch: [73][4130/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 2.0127 (1.8244)	Prec@1 49.219 (52.258)	Prec@5 78.906 (81.660)
Epoch: [73][4140/14090]	Time 0.766 (0.766)	Data 0.001 (0.002)	Loss 1.6207 (1.8244)	Prec@1 58.594 (52.260)	Prec@5 84.375 (81.661)
Epoch: [73][4150/14090]	Time 0.776 (0.766)	Data 0.001 (0.002)	Loss 1.7302 (1.8241)	Prec@1 57.031 (52.263)	Prec@5 82.031 (81.668)
Epoch: [73][4160/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 1.8935 (1.8243)	Prec@1 49.219 (52.257)	Prec@5 83.594 (81.666)
Epoch: [73][4170/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.0734 (1.8245)	Prec@1 48.438 (52.252)	Prec@5 73.438 (81.661)
Epoch: [73][4180/14090]	Time 0.763 (0.766)	Data 0.001 (0.002)	Loss 2.0534 (1.8246)	Prec@1 52.344 (52.250)	Prec@5 77.344 (81.656)
Epoch: [73][4190/14090]	Time 0.871 (0.766)	Data 0.001 (0.002)	Loss 1.8158 (1.8246)	Prec@1 54.688 (52.252)	Prec@5 79.688 (81.657)
Epoch: [73][4200/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 1.9291 (1.8246)	Prec@1 48.438 (52.249)	Prec@5 81.250 (81.661)
Epoch: [73][4210/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 1.9256 (1.8246)	Prec@1 45.312 (52.248)	Prec@5 83.594 (81.661)
Epoch: [73][4220/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 2.1685 (1.8249)	Prec@1 44.531 (52.245)	Prec@5 74.219 (81.656)
Epoch: [73][4230/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 1.7890 (1.8248)	Prec@1 49.219 (52.246)	Prec@5 85.156 (81.658)
Epoch: [73][4240/14090]	Time 0.763 (0.766)	Data 0.001 (0.002)	Loss 1.9136 (1.8248)	Prec@1 46.094 (52.246)	Prec@5 84.375 (81.660)
Epoch: [73][4250/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 1.5753 (1.8246)	Prec@1 60.938 (52.252)	Prec@5 86.719 (81.666)
Epoch: [73][4260/14090]	Time 0.817 (0.766)	Data 0.001 (0.002)	Loss 1.5629 (1.8245)	Prec@1 59.375 (52.253)	Prec@5 85.938 (81.670)
Epoch: [73][4270/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 1.6966 (1.8244)	Prec@1 55.469 (52.260)	Prec@5 82.812 (81.671)
Epoch: [73][4280/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 1.6268 (1.8242)	Prec@1 54.688 (52.266)	Prec@5 83.594 (81.673)
Epoch: [73][4290/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 1.9431 (1.8244)	Prec@1 51.562 (52.263)	Prec@5 81.250 (81.671)
Epoch: [73][4300/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 1.7285 (1.8247)	Prec@1 50.781 (52.256)	Prec@5 85.938 (81.669)
Epoch: [73][4310/14090]	Time 0.764 (0.766)	Data 0.001 (0.002)	Loss 1.6372 (1.8246)	Prec@1 53.125 (52.253)	Prec@5 84.375 (81.670)
Epoch: [73][4320/14090]	Time 0.770 (0.766)	Data 0.001 (0.002)	Loss 1.8285 (1.8246)	Prec@1 50.781 (52.253)	Prec@5 82.031 (81.669)
Epoch: [73][4330/14090]	Time 0.832 (0.766)	Data 0.001 (0.002)	Loss 1.9565 (1.8247)	Prec@1 45.312 (52.254)	Prec@5 81.250 (81.666)
Epoch: [73][4340/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 1.5368 (1.8248)	Prec@1 58.594 (52.248)	Prec@5 85.156 (81.664)
Epoch: [73][4350/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 1.9648 (1.8247)	Prec@1 46.875 (52.253)	Prec@5 79.688 (81.667)
Epoch: [73][4360/14090]	Time 0.724 (0.766)	Data 0.001 (0.002)	Loss 1.7882 (1.8249)	Prec@1 55.469 (52.254)	Prec@5 82.031 (81.666)
Epoch: [73][4370/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 2.0204 (1.8251)	Prec@1 47.656 (52.248)	Prec@5 75.781 (81.662)
Epoch: [73][4380/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 1.7909 (1.8251)	Prec@1 51.562 (52.248)	Prec@5 82.812 (81.660)
Epoch: [73][4390/14090]	Time 0.724 (0.766)	Data 0.001 (0.002)	Loss 2.0368 (1.8250)	Prec@1 44.531 (52.250)	Prec@5 78.906 (81.665)
Epoch: [73][4400/14090]	Time 0.830 (0.766)	Data 0.001 (0.002)	Loss 1.9404 (1.8250)	Prec@1 46.875 (52.251)	Prec@5 77.344 (81.662)
Epoch: [73][4410/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 1.6344 (1.8250)	Prec@1 52.344 (52.251)	Prec@5 85.938 (81.664)
Epoch: [73][4420/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 1.7431 (1.8250)	Prec@1 53.906 (52.248)	Prec@5 82.812 (81.662)
Epoch: [73][4430/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 1.9430 (1.8252)	Prec@1 50.781 (52.243)	Prec@5 82.031 (81.657)
Epoch: [73][4440/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 2.0334 (1.8253)	Prec@1 46.875 (52.238)	Prec@5 77.344 (81.657)
Epoch: [73][4450/14090]	Time 0.727 (0.766)	Data 0.001 (0.002)	Loss 1.6420 (1.8252)	Prec@1 55.469 (52.242)	Prec@5 85.938 (81.662)
Epoch: [73][4460/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 1.6549 (1.8252)	Prec@1 52.344 (52.238)	Prec@5 80.469 (81.660)
Epoch: [73][4470/14090]	Time 0.859 (0.766)	Data 0.001 (0.002)	Loss 1.7287 (1.8253)	Prec@1 52.344 (52.232)	Prec@5 82.812 (81.657)
Epoch: [73][4480/14090]	Time 0.764 (0.766)	Data 0.001 (0.002)	Loss 1.8057 (1.8253)	Prec@1 55.469 (52.231)	Prec@5 80.469 (81.657)
Epoch: [73][4490/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 2.0563 (1.8253)	Prec@1 42.969 (52.231)	Prec@5 78.125 (81.657)
Epoch: [73][4500/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 1.9161 (1.8254)	Prec@1 52.344 (52.230)	Prec@5 81.250 (81.655)
Epoch: [73][4510/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 1.7560 (1.8253)	Prec@1 53.125 (52.227)	Prec@5 84.375 (81.656)
Epoch: [73][4520/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 2.0250 (1.8252)	Prec@1 48.438 (52.229)	Prec@5 82.031 (81.659)
Epoch: [73][4530/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 1.8253 (1.8254)	Prec@1 56.250 (52.226)	Prec@5 83.594 (81.660)
Epoch: [73][4540/14090]	Time 0.899 (0.766)	Data 0.001 (0.002)	Loss 1.8847 (1.8255)	Prec@1 47.656 (52.221)	Prec@5 85.156 (81.659)
Epoch: [73][4550/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 1.7768 (1.8256)	Prec@1 54.688 (52.218)	Prec@5 83.594 (81.654)
Epoch: [73][4560/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 1.9539 (1.8258)	Prec@1 51.562 (52.216)	Prec@5 77.344 (81.652)
Epoch: [73][4570/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 1.8570 (1.8257)	Prec@1 53.906 (52.214)	Prec@5 79.688 (81.653)
Epoch: [73][4580/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 1.5219 (1.8257)	Prec@1 57.031 (52.213)	Prec@5 88.281 (81.653)
Epoch: [73][4590/14090]	Time 0.725 (0.766)	Data 0.001 (0.002)	Loss 1.9673 (1.8259)	Prec@1 50.000 (52.209)	Prec@5 78.125 (81.651)
Epoch: [73][4600/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 1.6653 (1.8257)	Prec@1 60.156 (52.212)	Prec@5 82.031 (81.655)
Epoch: [73][4610/14090]	Time 0.873 (0.766)	Data 0.001 (0.002)	Loss 1.7617 (1.8259)	Prec@1 58.594 (52.210)	Prec@5 80.469 (81.650)
Epoch: [73][4620/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 1.7647 (1.8259)	Prec@1 60.156 (52.213)	Prec@5 83.594 (81.651)
Epoch: [73][4630/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 1.5711 (1.8258)	Prec@1 56.250 (52.213)	Prec@5 87.500 (81.653)
Epoch: [73][4640/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 1.6887 (1.8258)	Prec@1 53.906 (52.213)	Prec@5 82.031 (81.653)
Epoch: [73][4650/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.1819 (1.8259)	Prec@1 47.656 (52.212)	Prec@5 75.000 (81.652)
Epoch: [73][4660/14090]	Time 0.720 (0.766)	Data 0.001 (0.002)	Loss 1.6950 (1.8257)	Prec@1 56.250 (52.213)	Prec@5 84.375 (81.655)
Epoch: [73][4670/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 1.5804 (1.8258)	Prec@1 55.469 (52.211)	Prec@5 88.281 (81.654)
Epoch: [73][4680/14090]	Time 0.847 (0.766)	Data 0.001 (0.002)	Loss 1.8755 (1.8257)	Prec@1 51.562 (52.212)	Prec@5 85.938 (81.655)
Epoch: [73][4690/14090]	Time 0.771 (0.766)	Data 0.001 (0.002)	Loss 1.9018 (1.8257)	Prec@1 53.906 (52.211)	Prec@5 82.031 (81.658)
Epoch: [73][4700/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 1.6954 (1.8256)	Prec@1 53.125 (52.212)	Prec@5 86.719 (81.658)
Epoch: [73][4710/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 1.8493 (1.8255)	Prec@1 53.906 (52.216)	Prec@5 82.812 (81.660)
Epoch: [73][4720/14090]	Time 0.767 (0.766)	Data 0.001 (0.002)	Loss 2.0661 (1.8255)	Prec@1 50.000 (52.217)	Prec@5 75.000 (81.657)
Epoch: [73][4730/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 1.8538 (1.8256)	Prec@1 53.125 (52.215)	Prec@5 80.469 (81.653)
Epoch: [73][4740/14090]	Time 0.773 (0.766)	Data 0.001 (0.002)	Loss 1.9002 (1.8257)	Prec@1 59.375 (52.217)	Prec@5 78.906 (81.653)
Epoch: [73][4750/14090]	Time 0.847 (0.766)	Data 0.001 (0.002)	Loss 2.0398 (1.8258)	Prec@1 47.656 (52.213)	Prec@5 75.781 (81.651)
Epoch: [73][4760/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 1.8589 (1.8258)	Prec@1 46.094 (52.211)	Prec@5 81.250 (81.651)
Epoch: [73][4770/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 1.9025 (1.8257)	Prec@1 52.344 (52.211)	Prec@5 80.469 (81.653)
Epoch: [73][4780/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 1.7320 (1.8257)	Prec@1 53.125 (52.209)	Prec@5 85.938 (81.651)
Epoch: [73][4790/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 1.9127 (1.8257)	Prec@1 53.125 (52.211)	Prec@5 80.469 (81.653)
Epoch: [73][4800/14090]	Time 0.761 (0.766)	Data 0.001 (0.002)	Loss 1.6236 (1.8256)	Prec@1 60.156 (52.213)	Prec@5 82.812 (81.654)
Epoch: [73][4810/14090]	Time 0.761 (0.766)	Data 0.001 (0.002)	Loss 1.9399 (1.8258)	Prec@1 51.562 (52.208)	Prec@5 80.469 (81.651)
Epoch: [73][4820/14090]	Time 0.979 (0.766)	Data 0.001 (0.002)	Loss 1.7543 (1.8258)	Prec@1 55.469 (52.208)	Prec@5 82.812 (81.651)
Epoch: [73][4830/14090]	Time 0.728 (0.766)	Data 0.001 (0.002)	Loss 1.7775 (1.8257)	Prec@1 53.906 (52.208)	Prec@5 83.594 (81.651)
Epoch: [73][4840/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 1.5030 (1.8257)	Prec@1 61.719 (52.207)	Prec@5 86.719 (81.651)
Epoch: [73][4850/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 1.9197 (1.8259)	Prec@1 47.656 (52.199)	Prec@5 78.906 (81.648)
Epoch: [73][4860/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 1.8746 (1.8258)	Prec@1 49.219 (52.199)	Prec@5 82.812 (81.649)
Epoch: [73][4870/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 1.4259 (1.8257)	Prec@1 61.719 (52.203)	Prec@5 85.938 (81.651)
Epoch: [73][4880/14090]	Time 0.777 (0.766)	Data 0.001 (0.002)	Loss 1.8133 (1.8256)	Prec@1 54.688 (52.208)	Prec@5 81.250 (81.653)
Epoch: [73][4890/14090]	Time 0.922 (0.766)	Data 0.001 (0.002)	Loss 2.0166 (1.8258)	Prec@1 46.094 (52.202)	Prec@5 77.344 (81.647)
Epoch: [73][4900/14090]	Time 0.728 (0.766)	Data 0.001 (0.002)	Loss 1.5641 (1.8259)	Prec@1 55.469 (52.199)	Prec@5 85.938 (81.644)
Epoch: [73][4910/14090]	Time 0.727 (0.766)	Data 0.001 (0.002)	Loss 1.9206 (1.8258)	Prec@1 51.562 (52.201)	Prec@5 78.125 (81.646)
Epoch: [73][4920/14090]	Time 0.719 (0.766)	Data 0.001 (0.002)	Loss 1.8212 (1.8258)	Prec@1 55.469 (52.206)	Prec@5 82.812 (81.645)
Epoch: [73][4930/14090]	Time 0.783 (0.766)	Data 0.001 (0.002)	Loss 2.2367 (1.8257)	Prec@1 43.750 (52.207)	Prec@5 76.562 (81.646)
Epoch: [73][4940/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 1.8279 (1.8256)	Prec@1 51.562 (52.206)	Prec@5 79.688 (81.650)
Epoch: [73][4950/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 1.8668 (1.8256)	Prec@1 55.469 (52.206)	Prec@5 80.469 (81.651)
Epoch: [73][4960/14090]	Time 0.943 (0.766)	Data 0.001 (0.002)	Loss 2.0487 (1.8256)	Prec@1 50.000 (52.207)	Prec@5 80.469 (81.652)
Epoch: [73][4970/14090]	Time 0.775 (0.766)	Data 0.001 (0.002)	Loss 1.8618 (1.8257)	Prec@1 49.219 (52.204)	Prec@5 81.250 (81.650)
Epoch: [73][4980/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.0044 (1.8259)	Prec@1 52.344 (52.197)	Prec@5 81.250 (81.644)
Epoch: [73][4990/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 1.6591 (1.8258)	Prec@1 53.906 (52.197)	Prec@5 83.594 (81.648)
Epoch: [73][5000/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 1.8786 (1.8257)	Prec@1 56.250 (52.198)	Prec@5 80.469 (81.647)
Epoch: [73][5010/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 1.7051 (1.8257)	Prec@1 58.594 (52.199)	Prec@5 82.812 (81.645)
Epoch: [73][5020/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 2.0364 (1.8258)	Prec@1 50.781 (52.197)	Prec@5 80.469 (81.643)
Epoch: [73][5030/14090]	Time 0.857 (0.766)	Data 0.001 (0.002)	Loss 1.6815 (1.8255)	Prec@1 55.469 (52.204)	Prec@5 85.156 (81.650)
Epoch: [73][5040/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 1.6876 (1.8255)	Prec@1 54.688 (52.206)	Prec@5 78.906 (81.650)
Epoch: [73][5050/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 1.5328 (1.8254)	Prec@1 58.594 (52.210)	Prec@5 86.719 (81.652)
Epoch: [73][5060/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 1.8568 (1.8254)	Prec@1 54.688 (52.211)	Prec@5 81.250 (81.652)
Epoch: [73][5070/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 1.7475 (1.8254)	Prec@1 51.562 (52.210)	Prec@5 77.344 (81.650)
Epoch: [73][5080/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 1.6690 (1.8254)	Prec@1 57.031 (52.211)	Prec@5 85.156 (81.650)
Epoch: [73][5090/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 1.5976 (1.8254)	Prec@1 57.031 (52.207)	Prec@5 82.031 (81.652)
Epoch: [73][5100/14090]	Time 0.893 (0.766)	Data 0.001 (0.002)	Loss 1.9303 (1.8255)	Prec@1 53.906 (52.208)	Prec@5 82.812 (81.652)
Epoch: [73][5110/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 1.8057 (1.8254)	Prec@1 53.906 (52.204)	Prec@5 76.562 (81.651)
Epoch: [73][5120/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 1.6341 (1.8255)	Prec@1 58.594 (52.203)	Prec@5 87.500 (81.652)
Epoch: [73][5130/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 1.5537 (1.8255)	Prec@1 57.812 (52.203)	Prec@5 86.719 (81.654)
Epoch: [73][5140/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 1.7939 (1.8255)	Prec@1 56.250 (52.203)	Prec@5 82.812 (81.652)
Epoch: [73][5150/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 1.8304 (1.8255)	Prec@1 48.438 (52.201)	Prec@5 83.594 (81.650)
Epoch: [73][5160/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.0461 (1.8256)	Prec@1 45.312 (52.196)	Prec@5 78.125 (81.650)
Epoch: [73][5170/14090]	Time 0.908 (0.766)	Data 0.001 (0.002)	Loss 1.7225 (1.8256)	Prec@1 56.250 (52.198)	Prec@5 81.250 (81.648)
Epoch: [73][5180/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 1.8910 (1.8255)	Prec@1 49.219 (52.201)	Prec@5 79.688 (81.647)
Epoch: [73][5190/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 1.6056 (1.8255)	Prec@1 62.500 (52.203)	Prec@5 83.594 (81.647)
Epoch: [73][5200/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 1.9743 (1.8254)	Prec@1 51.562 (52.205)	Prec@5 78.906 (81.646)
Epoch: [73][5210/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 1.9716 (1.8256)	Prec@1 50.000 (52.205)	Prec@5 78.906 (81.642)
Epoch: [73][5220/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 1.9377 (1.8257)	Prec@1 48.438 (52.204)	Prec@5 80.469 (81.642)
Epoch: [73][5230/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 1.6373 (1.8256)	Prec@1 54.688 (52.206)	Prec@5 89.062 (81.642)
Epoch: [73][5240/14090]	Time 0.879 (0.766)	Data 0.001 (0.002)	Loss 1.8266 (1.8257)	Prec@1 52.344 (52.203)	Prec@5 80.469 (81.641)
Epoch: [73][5250/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 1.8290 (1.8256)	Prec@1 53.906 (52.205)	Prec@5 84.375 (81.644)
Epoch: [73][5260/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 1.7720 (1.8257)	Prec@1 50.781 (52.205)	Prec@5 82.812 (81.643)
Epoch: [73][5270/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 1.6989 (1.8257)	Prec@1 53.125 (52.204)	Prec@5 82.031 (81.642)
Epoch: [73][5280/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 1.7344 (1.8255)	Prec@1 50.000 (52.209)	Prec@5 83.594 (81.646)
Epoch: [73][5290/14090]	Time 0.758 (0.766)	Data 0.002 (0.002)	Loss 1.9051 (1.8255)	Prec@1 47.656 (52.207)	Prec@5 82.812 (81.645)
Epoch: [73][5300/14090]	Time 0.776 (0.766)	Data 0.001 (0.002)	Loss 1.7276 (1.8257)	Prec@1 55.469 (52.205)	Prec@5 85.938 (81.642)
Epoch: [73][5310/14090]	Time 0.852 (0.766)	Data 0.001 (0.002)	Loss 1.8138 (1.8258)	Prec@1 57.031 (52.202)	Prec@5 79.688 (81.639)
Epoch: [73][5320/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 1.8986 (1.8259)	Prec@1 46.875 (52.200)	Prec@5 81.250 (81.638)
Epoch: [73][5330/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 1.5190 (1.8259)	Prec@1 57.031 (52.197)	Prec@5 87.500 (81.639)
Epoch: [73][5340/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 1.9548 (1.8258)	Prec@1 50.000 (52.199)	Prec@5 80.469 (81.641)
Epoch: [73][5350/14090]	Time 0.722 (0.766)	Data 0.001 (0.002)	Loss 1.9380 (1.8258)	Prec@1 47.656 (52.199)	Prec@5 78.906 (81.643)
Epoch: [73][5360/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 1.7584 (1.8258)	Prec@1 48.438 (52.196)	Prec@5 89.062 (81.643)
Epoch: [73][5370/14090]	Time 0.728 (0.766)	Data 0.001 (0.002)	Loss 1.7458 (1.8258)	Prec@1 57.031 (52.196)	Prec@5 84.375 (81.646)
Epoch: [73][5380/14090]	Time 0.862 (0.766)	Data 0.001 (0.002)	Loss 2.0869 (1.8259)	Prec@1 42.188 (52.194)	Prec@5 82.812 (81.647)
Epoch: [73][5390/14090]	Time 0.727 (0.766)	Data 0.001 (0.002)	Loss 1.9214 (1.8258)	Prec@1 50.000 (52.193)	Prec@5 82.812 (81.650)
Epoch: [73][5400/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 1.9234 (1.8260)	Prec@1 48.438 (52.190)	Prec@5 80.469 (81.649)
Epoch: [73][5410/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 1.6639 (1.8258)	Prec@1 53.906 (52.195)	Prec@5 82.812 (81.651)
Epoch: [73][5420/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 1.8497 (1.8258)	Prec@1 50.781 (52.192)	Prec@5 82.812 (81.650)
Epoch: [73][5430/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 1.9188 (1.8256)	Prec@1 43.750 (52.195)	Prec@5 84.375 (81.656)
Epoch: [73][5440/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 1.8144 (1.8255)	Prec@1 55.469 (52.199)	Prec@5 82.031 (81.657)
Epoch: [73][5450/14090]	Time 0.833 (0.766)	Data 0.001 (0.002)	Loss 1.7727 (1.8255)	Prec@1 52.344 (52.198)	Prec@5 85.938 (81.656)
Epoch: [73][5460/14090]	Time 0.767 (0.766)	Data 0.001 (0.002)	Loss 1.9350 (1.8257)	Prec@1 46.875 (52.194)	Prec@5 79.688 (81.653)
Epoch: [73][5470/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.1452 (1.8258)	Prec@1 43.750 (52.193)	Prec@5 75.000 (81.651)
Epoch: [73][5480/14090]	Time 0.769 (0.766)	Data 0.001 (0.002)	Loss 1.6706 (1.8259)	Prec@1 55.469 (52.193)	Prec@5 83.594 (81.648)
Epoch: [73][5490/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 1.8233 (1.8260)	Prec@1 52.344 (52.189)	Prec@5 80.469 (81.646)
Epoch: [73][5500/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 1.8415 (1.8257)	Prec@1 52.344 (52.195)	Prec@5 82.812 (81.650)
Epoch: [73][5510/14090]	Time 0.725 (0.766)	Data 0.001 (0.002)	Loss 1.7434 (1.8259)	Prec@1 58.594 (52.190)	Prec@5 85.938 (81.649)
Epoch: [73][5520/14090]	Time 0.826 (0.766)	Data 0.001 (0.002)	Loss 1.8580 (1.8260)	Prec@1 53.125 (52.188)	Prec@5 85.938 (81.649)
Epoch: [73][5530/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 1.7803 (1.8261)	Prec@1 50.000 (52.184)	Prec@5 81.250 (81.647)
Epoch: [73][5540/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 1.5787 (1.8259)	Prec@1 54.688 (52.187)	Prec@5 86.719 (81.648)
Epoch: [73][5550/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 1.8095 (1.8260)	Prec@1 52.344 (52.185)	Prec@5 81.250 (81.646)
Epoch: [73][5560/14090]	Time 0.761 (0.766)	Data 0.001 (0.002)	Loss 1.6963 (1.8260)	Prec@1 60.938 (52.185)	Prec@5 84.375 (81.647)
Epoch: [73][5570/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 1.7181 (1.8258)	Prec@1 60.156 (52.190)	Prec@5 84.375 (81.650)
Epoch: [73][5580/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 1.7678 (1.8258)	Prec@1 53.125 (52.189)	Prec@5 82.812 (81.650)
Epoch: [73][5590/14090]	Time 0.863 (0.766)	Data 0.001 (0.002)	Loss 2.1602 (1.8258)	Prec@1 45.312 (52.189)	Prec@5 75.781 (81.649)
Epoch: [73][5600/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 1.8585 (1.8258)	Prec@1 46.875 (52.187)	Prec@5 82.031 (81.648)
Epoch: [73][5610/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 1.8100 (1.8259)	Prec@1 52.344 (52.183)	Prec@5 81.250 (81.647)
Epoch: [73][5620/14090]	Time 0.759 (0.766)	Data 0.001 (0.002)	Loss 1.8990 (1.8260)	Prec@1 51.562 (52.182)	Prec@5 79.688 (81.648)
Epoch: [73][5630/14090]	Time 0.728 (0.766)	Data 0.001 (0.002)	Loss 1.9529 (1.8260)	Prec@1 53.906 (52.183)	Prec@5 82.031 (81.648)
Epoch: [73][5640/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 1.8431 (1.8260)	Prec@1 52.344 (52.181)	Prec@5 81.250 (81.647)
Epoch: [73][5650/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 1.9138 (1.8260)	Prec@1 53.125 (52.181)	Prec@5 84.375 (81.647)
Epoch: [73][5660/14090]	Time 0.903 (0.766)	Data 0.001 (0.002)	Loss 1.9412 (1.8261)	Prec@1 48.438 (52.180)	Prec@5 81.250 (81.644)
Epoch: [73][5670/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.0704 (1.8262)	Prec@1 45.312 (52.181)	Prec@5 78.125 (81.644)
Epoch: [73][5680/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 1.8202 (1.8262)	Prec@1 51.562 (52.180)	Prec@5 79.688 (81.644)
Epoch: [73][5690/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 1.9867 (1.8263)	Prec@1 48.438 (52.180)	Prec@5 82.812 (81.646)
Epoch: [73][5700/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 1.9804 (1.8263)	Prec@1 46.094 (52.178)	Prec@5 80.469 (81.645)
Epoch: [73][5710/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 1.9046 (1.8264)	Prec@1 54.688 (52.177)	Prec@5 78.125 (81.646)
Epoch: [73][5720/14090]	Time 0.767 (0.766)	Data 0.001 (0.002)	Loss 1.6674 (1.8262)	Prec@1 60.156 (52.182)	Prec@5 85.156 (81.650)
Epoch: [73][5730/14090]	Time 0.860 (0.766)	Data 0.001 (0.002)	Loss 1.5707 (1.8263)	Prec@1 56.250 (52.180)	Prec@5 88.281 (81.650)
Epoch: [73][5740/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 1.8658 (1.8263)	Prec@1 50.000 (52.180)	Prec@5 79.688 (81.649)
Epoch: [73][5750/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 1.7632 (1.8263)	Prec@1 57.031 (52.180)	Prec@5 80.469 (81.648)
Epoch: [73][5760/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 1.7278 (1.8262)	Prec@1 51.562 (52.182)	Prec@5 84.375 (81.650)
Epoch: [73][5770/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 1.8748 (1.8262)	Prec@1 49.219 (52.179)	Prec@5 83.594 (81.650)
Epoch: [73][5780/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 1.6557 (1.8262)	Prec@1 57.031 (52.180)	Prec@5 82.812 (81.649)
Epoch: [73][5790/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 1.6608 (1.8262)	Prec@1 53.125 (52.182)	Prec@5 85.156 (81.650)
Epoch: [73][5800/14090]	Time 0.848 (0.766)	Data 0.001 (0.002)	Loss 1.8160 (1.8262)	Prec@1 57.031 (52.187)	Prec@5 82.031 (81.649)
Epoch: [73][5810/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 1.7939 (1.8262)	Prec@1 50.000 (52.187)	Prec@5 84.375 (81.650)
Epoch: [73][5820/14090]	Time 0.781 (0.766)	Data 0.001 (0.002)	Loss 1.6856 (1.8262)	Prec@1 57.031 (52.187)	Prec@5 85.156 (81.650)
Epoch: [73][5830/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 1.7946 (1.8262)	Prec@1 56.250 (52.188)	Prec@5 80.469 (81.648)
Epoch: [73][5840/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 1.8318 (1.8262)	Prec@1 55.469 (52.189)	Prec@5 80.469 (81.648)
Epoch: [73][5850/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 2.0990 (1.8262)	Prec@1 53.906 (52.191)	Prec@5 72.656 (81.648)
Epoch: [73][5860/14090]	Time 0.761 (0.766)	Data 0.001 (0.002)	Loss 1.7787 (1.8262)	Prec@1 50.000 (52.190)	Prec@5 82.031 (81.649)
Epoch: [73][5870/14090]	Time 0.832 (0.766)	Data 0.001 (0.002)	Loss 1.7207 (1.8261)	Prec@1 58.594 (52.192)	Prec@5 83.594 (81.651)
Epoch: [73][5880/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 2.0795 (1.8263)	Prec@1 42.969 (52.189)	Prec@5 78.125 (81.647)
Epoch: [73][5890/14090]	Time 0.761 (0.766)	Data 0.001 (0.002)	Loss 2.0048 (1.8263)	Prec@1 52.344 (52.189)	Prec@5 77.344 (81.647)
Epoch: [73][5900/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 1.8231 (1.8264)	Prec@1 50.781 (52.188)	Prec@5 80.469 (81.647)
Epoch: [73][5910/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 1.7193 (1.8264)	Prec@1 56.250 (52.186)	Prec@5 82.031 (81.649)
Epoch: [73][5920/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 1.7165 (1.8265)	Prec@1 50.000 (52.185)	Prec@5 85.156 (81.649)
Epoch: [73][5930/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 1.4561 (1.8265)	Prec@1 64.062 (52.183)	Prec@5 90.625 (81.650)
Epoch: [73][5940/14090]	Time 0.848 (0.766)	Data 0.001 (0.002)	Loss 1.7994 (1.8264)	Prec@1 52.344 (52.186)	Prec@5 84.375 (81.651)
Epoch: [73][5950/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 2.0488 (1.8265)	Prec@1 45.312 (52.183)	Prec@5 77.344 (81.648)
Epoch: [73][5960/14090]	Time 0.726 (0.766)	Data 0.001 (0.002)	Loss 2.1193 (1.8266)	Prec@1 47.656 (52.181)	Prec@5 75.781 (81.644)
Epoch: [73][5970/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 1.7879 (1.8266)	Prec@1 53.906 (52.181)	Prec@5 82.031 (81.644)
Epoch: [73][5980/14090]	Time 0.728 (0.766)	Data 0.001 (0.002)	Loss 2.1416 (1.8267)	Prec@1 45.312 (52.179)	Prec@5 70.312 (81.641)
Epoch: [73][5990/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 1.7028 (1.8268)	Prec@1 53.125 (52.176)	Prec@5 80.469 (81.640)
Epoch: [73][6000/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 1.7930 (1.8267)	Prec@1 53.125 (52.179)	Prec@5 78.125 (81.638)
Epoch: [73][6010/14090]	Time 0.861 (0.766)	Data 0.001 (0.002)	Loss 2.0976 (1.8268)	Prec@1 50.000 (52.179)	Prec@5 76.562 (81.637)
Epoch: [73][6020/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 1.9044 (1.8268)	Prec@1 50.781 (52.179)	Prec@5 77.344 (81.637)
Epoch: [73][6030/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 1.6459 (1.8267)	Prec@1 55.469 (52.181)	Prec@5 83.594 (81.637)
Epoch: [73][6040/14090]	Time 0.745 (0.766)	Data 0.009 (0.002)	Loss 1.7822 (1.8268)	Prec@1 50.000 (52.179)	Prec@5 79.688 (81.634)
Epoch: [73][6050/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 1.9434 (1.8268)	Prec@1 53.906 (52.181)	Prec@5 79.688 (81.633)
Epoch: [73][6060/14090]	Time 0.727 (0.766)	Data 0.001 (0.002)	Loss 1.8327 (1.8268)	Prec@1 53.125 (52.182)	Prec@5 80.469 (81.632)
Epoch: [73][6070/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 2.0541 (1.8269)	Prec@1 49.219 (52.182)	Prec@5 75.781 (81.632)
Epoch: [73][6080/14090]	Time 0.870 (0.766)	Data 0.001 (0.002)	Loss 1.7264 (1.8268)	Prec@1 53.906 (52.183)	Prec@5 82.031 (81.634)
Epoch: [73][6090/14090]	Time 0.721 (0.766)	Data 0.001 (0.002)	Loss 1.7623 (1.8267)	Prec@1 56.250 (52.185)	Prec@5 85.156 (81.636)
Epoch: [73][6100/14090]	Time 0.761 (0.766)	Data 0.001 (0.002)	Loss 1.6949 (1.8268)	Prec@1 53.125 (52.184)	Prec@5 84.375 (81.633)
Epoch: [73][6110/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 1.8338 (1.8269)	Prec@1 46.094 (52.183)	Prec@5 80.469 (81.632)
Epoch: [73][6120/14090]	Time 0.768 (0.766)	Data 0.001 (0.002)	Loss 1.9379 (1.8268)	Prec@1 42.969 (52.185)	Prec@5 82.031 (81.635)
Epoch: [73][6130/14090]	Time 0.772 (0.766)	Data 0.001 (0.002)	Loss 1.8338 (1.8267)	Prec@1 56.250 (52.187)	Prec@5 79.688 (81.636)
Epoch: [73][6140/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 1.6582 (1.8268)	Prec@1 55.469 (52.187)	Prec@5 84.375 (81.634)
Epoch: [73][6150/14090]	Time 0.871 (0.766)	Data 0.001 (0.002)	Loss 1.6352 (1.8266)	Prec@1 52.344 (52.189)	Prec@5 82.812 (81.637)
Epoch: [73][6160/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 1.8380 (1.8266)	Prec@1 50.781 (52.191)	Prec@5 83.594 (81.637)
Epoch: [73][6170/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 2.0366 (1.8267)	Prec@1 46.875 (52.189)	Prec@5 74.219 (81.633)
Epoch: [73][6180/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 1.6184 (1.8266)	Prec@1 57.812 (52.194)	Prec@5 84.375 (81.636)
Epoch: [73][6190/14090]	Time 0.722 (0.766)	Data 0.001 (0.002)	Loss 1.7986 (1.8265)	Prec@1 56.250 (52.197)	Prec@5 82.031 (81.637)
Epoch: [73][6200/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 1.9775 (1.8266)	Prec@1 42.969 (52.194)	Prec@5 79.688 (81.637)
Epoch: [73][6210/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 1.7500 (1.8265)	Prec@1 50.000 (52.192)	Prec@5 79.688 (81.637)
Epoch: [73][6220/14090]	Time 0.863 (0.766)	Data 0.001 (0.002)	Loss 1.9047 (1.8267)	Prec@1 46.875 (52.191)	Prec@5 82.812 (81.635)
Epoch: [73][6230/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 1.9614 (1.8268)	Prec@1 50.781 (52.187)	Prec@5 75.000 (81.634)
Epoch: [73][6240/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 1.9507 (1.8267)	Prec@1 51.562 (52.188)	Prec@5 77.344 (81.634)
Epoch: [73][6250/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 1.6859 (1.8266)	Prec@1 56.250 (52.190)	Prec@5 84.375 (81.636)
Epoch: [73][6260/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 1.7608 (1.8266)	Prec@1 55.469 (52.190)	Prec@5 81.250 (81.635)
Epoch: [73][6270/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 1.8273 (1.8266)	Prec@1 52.344 (52.192)	Prec@5 85.938 (81.636)
Epoch: [73][6280/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 1.8281 (1.8266)	Prec@1 52.344 (52.192)	Prec@5 83.594 (81.637)
Epoch: [73][6290/14090]	Time 0.852 (0.766)	Data 0.001 (0.002)	Loss 1.6558 (1.8266)	Prec@1 51.562 (52.192)	Prec@5 84.375 (81.638)
Epoch: [73][6300/14090]	Time 0.774 (0.766)	Data 0.001 (0.002)	Loss 1.6140 (1.8267)	Prec@1 59.375 (52.191)	Prec@5 87.500 (81.638)
Epoch: [73][6310/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 1.7820 (1.8267)	Prec@1 52.344 (52.193)	Prec@5 83.594 (81.637)
Epoch: [73][6320/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 1.7724 (1.8268)	Prec@1 53.125 (52.192)	Prec@5 78.125 (81.638)
Epoch: [73][6330/14090]	Time 0.799 (0.766)	Data 0.001 (0.002)	Loss 1.6450 (1.8267)	Prec@1 50.781 (52.191)	Prec@5 83.594 (81.639)
Epoch: [73][6340/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 1.9915 (1.8268)	Prec@1 45.312 (52.189)	Prec@5 76.562 (81.636)
Epoch: [73][6350/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 1.7507 (1.8268)	Prec@1 53.125 (52.188)	Prec@5 82.812 (81.636)
Epoch: [73][6360/14090]	Time 0.881 (0.766)	Data 0.001 (0.002)	Loss 1.8484 (1.8267)	Prec@1 51.562 (52.188)	Prec@5 82.031 (81.638)
Epoch: [73][6370/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 1.5949 (1.8269)	Prec@1 60.938 (52.186)	Prec@5 86.719 (81.635)
Epoch: [73][6380/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 2.2245 (1.8269)	Prec@1 42.188 (52.189)	Prec@5 73.438 (81.634)
Epoch: [73][6390/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 2.2067 (1.8269)	Prec@1 44.531 (52.189)	Prec@5 75.000 (81.635)
Epoch: [73][6400/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 1.6390 (1.8269)	Prec@1 57.031 (52.189)	Prec@5 85.156 (81.635)
Epoch: [73][6410/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 2.1684 (1.8270)	Prec@1 50.781 (52.188)	Prec@5 74.219 (81.633)
Epoch: [73][6420/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 1.8095 (1.8270)	Prec@1 46.875 (52.188)	Prec@5 81.250 (81.634)
Epoch: [73][6430/14090]	Time 1.029 (0.766)	Data 0.001 (0.002)	Loss 2.0696 (1.8270)	Prec@1 50.000 (52.190)	Prec@5 75.781 (81.635)
Epoch: [73][6440/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 1.8423 (1.8269)	Prec@1 47.656 (52.190)	Prec@5 78.906 (81.635)
Epoch: [73][6450/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 1.7433 (1.8270)	Prec@1 57.812 (52.187)	Prec@5 79.688 (81.633)
Epoch: [73][6460/14090]	Time 0.724 (0.766)	Data 0.002 (0.002)	Loss 1.9276 (1.8272)	Prec@1 51.562 (52.186)	Prec@5 82.031 (81.630)
Epoch: [73][6470/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 1.6853 (1.8271)	Prec@1 50.781 (52.185)	Prec@5 86.719 (81.631)
Epoch: [73][6480/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 1.6856 (1.8271)	Prec@1 60.938 (52.184)	Prec@5 84.375 (81.630)
Epoch: [73][6490/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 1.7575 (1.8271)	Prec@1 53.125 (52.187)	Prec@5 82.031 (81.631)
Epoch: [73][6500/14090]	Time 0.863 (0.766)	Data 0.001 (0.002)	Loss 1.8722 (1.8270)	Prec@1 46.094 (52.185)	Prec@5 83.594 (81.633)
Epoch: [73][6510/14090]	Time 0.767 (0.766)	Data 0.001 (0.002)	Loss 2.1533 (1.8269)	Prec@1 44.531 (52.184)	Prec@5 74.219 (81.633)
Epoch: [73][6520/14090]	Time 0.785 (0.766)	Data 0.002 (0.002)	Loss 1.9807 (1.8270)	Prec@1 49.219 (52.180)	Prec@5 75.781 (81.629)
Epoch: [73][6530/14090]	Time 0.728 (0.766)	Data 0.001 (0.002)	Loss 1.8285 (1.8270)	Prec@1 48.438 (52.177)	Prec@5 85.156 (81.628)
Epoch: [73][6540/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.0132 (1.8270)	Prec@1 53.906 (52.180)	Prec@5 78.125 (81.629)
Epoch: [73][6550/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 1.9780 (1.8270)	Prec@1 50.781 (52.181)	Prec@5 77.344 (81.628)
Epoch: [73][6560/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.0225 (1.8270)	Prec@1 52.344 (52.181)	Prec@5 75.781 (81.625)
Epoch: [73][6570/14090]	Time 0.871 (0.766)	Data 0.001 (0.002)	Loss 2.0846 (1.8271)	Prec@1 50.000 (52.180)	Prec@5 78.125 (81.622)
Epoch: [73][6580/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 1.7492 (1.8273)	Prec@1 53.906 (52.179)	Prec@5 80.469 (81.619)
Epoch: [73][6590/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 1.7962 (1.8274)	Prec@1 54.688 (52.175)	Prec@5 77.344 (81.616)
Epoch: [73][6600/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 1.7519 (1.8273)	Prec@1 50.000 (52.177)	Prec@5 82.812 (81.617)
Epoch: [73][6610/14090]	Time 0.737 (0.766)	Data 0.002 (0.002)	Loss 1.7756 (1.8273)	Prec@1 50.000 (52.178)	Prec@5 83.594 (81.618)
Epoch: [73][6620/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 1.9505 (1.8272)	Prec@1 50.781 (52.176)	Prec@5 78.906 (81.620)
Epoch: [73][6630/14090]	Time 0.783 (0.766)	Data 0.001 (0.002)	Loss 1.6450 (1.8272)	Prec@1 57.812 (52.176)	Prec@5 80.469 (81.621)
Epoch: [73][6640/14090]	Time 0.868 (0.766)	Data 0.001 (0.002)	Loss 1.3335 (1.8271)	Prec@1 56.250 (52.177)	Prec@5 89.062 (81.622)
Epoch: [73][6650/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.0275 (1.8271)	Prec@1 50.000 (52.173)	Prec@5 77.344 (81.620)
Epoch: [73][6660/14090]	Time 0.772 (0.766)	Data 0.001 (0.002)	Loss 2.2551 (1.8272)	Prec@1 41.406 (52.170)	Prec@5 75.781 (81.619)
Epoch: [73][6670/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.0054 (1.8273)	Prec@1 48.438 (52.169)	Prec@5 81.250 (81.618)
Epoch: [73][6680/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 1.9493 (1.8274)	Prec@1 50.781 (52.166)	Prec@5 78.125 (81.617)
Epoch: [73][6690/14090]	Time 0.724 (0.766)	Data 0.001 (0.002)	Loss 1.8014 (1.8274)	Prec@1 49.219 (52.166)	Prec@5 82.812 (81.617)
Epoch: [73][6700/14090]	Time 0.761 (0.766)	Data 0.001 (0.002)	Loss 1.7239 (1.8274)	Prec@1 56.250 (52.168)	Prec@5 82.031 (81.616)
Epoch: [73][6710/14090]	Time 0.885 (0.766)	Data 0.001 (0.002)	Loss 2.0053 (1.8273)	Prec@1 45.312 (52.170)	Prec@5 77.344 (81.619)
Epoch: [73][6720/14090]	Time 0.774 (0.766)	Data 0.001 (0.002)	Loss 1.8466 (1.8272)	Prec@1 53.906 (52.170)	Prec@5 83.594 (81.623)
Epoch: [73][6730/14090]	Time 0.768 (0.766)	Data 0.001 (0.002)	Loss 1.8571 (1.8273)	Prec@1 49.219 (52.171)	Prec@5 81.250 (81.622)
Epoch: [73][6740/14090]	Time 0.734 (0.766)	Data 0.001 (0.002)	Loss 1.7178 (1.8273)	Prec@1 56.250 (52.172)	Prec@5 85.938 (81.623)
Epoch: [73][6750/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 1.7623 (1.8272)	Prec@1 57.031 (52.175)	Prec@5 82.031 (81.622)
Epoch: [73][6760/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 1.8461 (1.8273)	Prec@1 51.562 (52.174)	Prec@5 82.812 (81.622)
Epoch: [73][6770/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 1.7604 (1.8272)	Prec@1 49.219 (52.175)	Prec@5 85.156 (81.624)
Epoch: [73][6780/14090]	Time 0.847 (0.766)	Data 0.001 (0.002)	Loss 2.0613 (1.8271)	Prec@1 45.312 (52.178)	Prec@5 72.656 (81.626)
Epoch: [73][6790/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 1.6999 (1.8271)	Prec@1 57.031 (52.177)	Prec@5 82.812 (81.624)
Epoch: [73][6800/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 1.7264 (1.8271)	Prec@1 52.344 (52.177)	Prec@5 82.031 (81.626)
Epoch: [73][6810/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 1.5137 (1.8270)	Prec@1 62.500 (52.179)	Prec@5 87.500 (81.627)
Epoch: [73][6820/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.1000 (1.8270)	Prec@1 47.656 (52.178)	Prec@5 73.438 (81.625)
Epoch: [73][6830/14090]	Time 0.720 (0.766)	Data 0.001 (0.001)	Loss 1.8377 (1.8271)	Prec@1 52.344 (52.177)	Prec@5 84.375 (81.624)
Epoch: [73][6840/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 1.8808 (1.8270)	Prec@1 46.094 (52.179)	Prec@5 80.469 (81.628)
Epoch: [73][6850/14090]	Time 0.861 (0.766)	Data 0.001 (0.001)	Loss 1.9378 (1.8268)	Prec@1 51.562 (52.182)	Prec@5 78.125 (81.631)
Epoch: [73][6860/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 1.8161 (1.8270)	Prec@1 53.906 (52.181)	Prec@5 80.469 (81.627)
Epoch: [73][6870/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 1.6449 (1.8269)	Prec@1 52.344 (52.185)	Prec@5 81.250 (81.629)
Epoch: [73][6880/14090]	Time 0.768 (0.766)	Data 0.001 (0.001)	Loss 1.8717 (1.8269)	Prec@1 50.781 (52.184)	Prec@5 80.469 (81.629)
Epoch: [73][6890/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 1.8495 (1.8269)	Prec@1 50.781 (52.184)	Prec@5 82.812 (81.630)
Epoch: [73][6900/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 1.7245 (1.8268)	Prec@1 49.219 (52.185)	Prec@5 82.812 (81.629)
Epoch: [73][6910/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 1.6190 (1.8268)	Prec@1 57.812 (52.186)	Prec@5 82.812 (81.629)
Epoch: [73][6920/14090]	Time 0.862 (0.766)	Data 0.001 (0.001)	Loss 1.8147 (1.8267)	Prec@1 49.219 (52.189)	Prec@5 82.031 (81.631)
Epoch: [73][6930/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 1.7639 (1.8267)	Prec@1 56.250 (52.189)	Prec@5 83.594 (81.631)
Epoch: [73][6940/14090]	Time 0.778 (0.766)	Data 0.001 (0.001)	Loss 1.6766 (1.8267)	Prec@1 61.719 (52.191)	Prec@5 84.375 (81.632)
Epoch: [73][6950/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 1.8427 (1.8266)	Prec@1 57.031 (52.194)	Prec@5 82.812 (81.634)
Epoch: [73][6960/14090]	Time 0.770 (0.766)	Data 0.001 (0.001)	Loss 1.9151 (1.8265)	Prec@1 57.031 (52.200)	Prec@5 82.031 (81.637)
Epoch: [73][6970/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.1246 (1.8266)	Prec@1 51.562 (52.199)	Prec@5 77.344 (81.635)
Epoch: [73][6980/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 1.6677 (1.8267)	Prec@1 64.062 (52.198)	Prec@5 82.812 (81.633)
Epoch: [73][6990/14090]	Time 0.895 (0.766)	Data 0.004 (0.001)	Loss 1.8688 (1.8267)	Prec@1 57.812 (52.199)	Prec@5 80.469 (81.633)
Epoch: [73][7000/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 1.6536 (1.8267)	Prec@1 54.688 (52.196)	Prec@5 87.500 (81.634)
Epoch: [73][7010/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 1.8041 (1.8268)	Prec@1 53.125 (52.196)	Prec@5 81.250 (81.631)
Epoch: [73][7020/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 1.7280 (1.8267)	Prec@1 57.812 (52.197)	Prec@5 81.250 (81.631)
Epoch: [73][7030/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 1.8147 (1.8268)	Prec@1 53.125 (52.195)	Prec@5 81.250 (81.632)
Epoch: [73][7040/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 1.8443 (1.8267)	Prec@1 50.781 (52.195)	Prec@5 81.250 (81.634)
Epoch: [73][7050/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 1.9092 (1.8267)	Prec@1 50.781 (52.194)	Prec@5 81.250 (81.634)
Epoch: [73][7060/14090]	Time 0.847 (0.766)	Data 0.001 (0.001)	Loss 1.8249 (1.8267)	Prec@1 51.562 (52.195)	Prec@5 81.250 (81.634)
Epoch: [73][7070/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 1.7822 (1.8267)	Prec@1 51.562 (52.195)	Prec@5 85.156 (81.634)
Epoch: [73][7080/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 1.6011 (1.8267)	Prec@1 62.500 (52.195)	Prec@5 84.375 (81.634)
Epoch: [73][7090/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 1.8398 (1.8268)	Prec@1 48.438 (52.192)	Prec@5 80.469 (81.633)
Epoch: [73][7100/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 1.8925 (1.8268)	Prec@1 51.562 (52.191)	Prec@5 81.250 (81.633)
Epoch: [73][7110/14090]	Time 0.768 (0.766)	Data 0.001 (0.001)	Loss 1.5992 (1.8268)	Prec@1 58.594 (52.191)	Prec@5 85.938 (81.634)
Epoch: [73][7120/14090]	Time 0.775 (0.766)	Data 0.001 (0.001)	Loss 1.7613 (1.8269)	Prec@1 49.219 (52.189)	Prec@5 82.812 (81.633)
Epoch: [73][7130/14090]	Time 0.834 (0.766)	Data 0.001 (0.001)	Loss 1.6442 (1.8269)	Prec@1 53.125 (52.189)	Prec@5 85.938 (81.633)
Epoch: [73][7140/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 1.5547 (1.8269)	Prec@1 58.594 (52.189)	Prec@5 85.938 (81.635)
Epoch: [73][7150/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 1.9362 (1.8268)	Prec@1 47.656 (52.191)	Prec@5 78.906 (81.636)
Epoch: [73][7160/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.0027 (1.8269)	Prec@1 52.344 (52.190)	Prec@5 80.469 (81.635)
Epoch: [73][7170/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 1.8396 (1.8268)	Prec@1 46.875 (52.190)	Prec@5 82.031 (81.637)
Epoch: [73][7180/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 1.8457 (1.8269)	Prec@1 50.000 (52.190)	Prec@5 81.250 (81.635)
Epoch: [73][7190/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 1.9672 (1.8269)	Prec@1 53.906 (52.189)	Prec@5 74.219 (81.635)
Epoch: [73][7200/14090]	Time 0.865 (0.766)	Data 0.001 (0.001)	Loss 1.9369 (1.8270)	Prec@1 47.656 (52.189)	Prec@5 78.125 (81.634)
Epoch: [73][7210/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 1.7243 (1.8270)	Prec@1 54.688 (52.189)	Prec@5 78.906 (81.632)
Epoch: [73][7220/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 1.7776 (1.8271)	Prec@1 50.000 (52.189)	Prec@5 81.250 (81.630)
Epoch: [73][7230/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 1.7061 (1.8270)	Prec@1 59.375 (52.189)	Prec@5 82.031 (81.632)
Epoch: [73][7240/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 1.6422 (1.8270)	Prec@1 50.000 (52.190)	Prec@5 85.938 (81.633)
Epoch: [73][7250/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 1.8337 (1.8270)	Prec@1 56.250 (52.192)	Prec@5 82.812 (81.632)
Epoch: [73][7260/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 1.7580 (1.8269)	Prec@1 54.688 (52.194)	Prec@5 81.250 (81.633)
Epoch: [73][7270/14090]	Time 0.875 (0.766)	Data 0.001 (0.001)	Loss 1.6992 (1.8269)	Prec@1 55.469 (52.195)	Prec@5 82.812 (81.632)
Epoch: [73][7280/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 1.8643 (1.8268)	Prec@1 51.562 (52.198)	Prec@5 79.688 (81.635)
Epoch: [73][7290/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 2.0149 (1.8269)	Prec@1 46.875 (52.194)	Prec@5 78.906 (81.634)
Epoch: [73][7300/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 1.8304 (1.8269)	Prec@1 50.000 (52.195)	Prec@5 79.688 (81.634)
Epoch: [73][7310/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 1.7621 (1.8268)	Prec@1 52.344 (52.197)	Prec@5 82.812 (81.637)
Epoch: [73][7320/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 2.0757 (1.8269)	Prec@1 48.438 (52.195)	Prec@5 75.781 (81.634)
Epoch: [73][7330/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 1.7692 (1.8268)	Prec@1 49.219 (52.194)	Prec@5 82.031 (81.637)
Epoch: [73][7340/14090]	Time 0.881 (0.766)	Data 0.001 (0.001)	Loss 1.7551 (1.8268)	Prec@1 55.469 (52.195)	Prec@5 82.812 (81.636)
Epoch: [73][7350/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 1.7762 (1.8268)	Prec@1 51.562 (52.192)	Prec@5 78.906 (81.636)
Epoch: [73][7360/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 1.9308 (1.8268)	Prec@1 46.094 (52.195)	Prec@5 84.375 (81.636)
Epoch: [73][7370/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 1.9861 (1.8268)	Prec@1 47.656 (52.193)	Prec@5 83.594 (81.635)
Epoch: [73][7380/14090]	Time 0.783 (0.766)	Data 0.001 (0.001)	Loss 1.9008 (1.8267)	Prec@1 56.250 (52.191)	Prec@5 80.469 (81.636)
Epoch: [73][7390/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 1.4633 (1.8266)	Prec@1 64.062 (52.195)	Prec@5 88.281 (81.638)
Epoch: [73][7400/14090]	Time 0.765 (0.766)	Data 0.001 (0.001)	Loss 1.7632 (1.8266)	Prec@1 57.031 (52.197)	Prec@5 79.688 (81.637)
Epoch: [73][7410/14090]	Time 0.859 (0.766)	Data 0.001 (0.001)	Loss 1.9672 (1.8266)	Prec@1 44.531 (52.194)	Prec@5 80.469 (81.636)
Epoch: [73][7420/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 1.6958 (1.8267)	Prec@1 56.250 (52.192)	Prec@5 84.375 (81.634)
Epoch: [73][7430/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.0068 (1.8267)	Prec@1 50.781 (52.194)	Prec@5 78.125 (81.636)
Epoch: [73][7440/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 1.6808 (1.8267)	Prec@1 53.906 (52.191)	Prec@5 83.594 (81.634)
Epoch: [73][7450/14090]	Time 0.765 (0.766)	Data 0.001 (0.001)	Loss 2.0840 (1.8267)	Prec@1 46.094 (52.190)	Prec@5 80.469 (81.635)
Epoch: [73][7460/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 1.7466 (1.8267)	Prec@1 57.812 (52.188)	Prec@5 86.719 (81.635)
Epoch: [73][7470/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 2.0061 (1.8267)	Prec@1 46.875 (52.188)	Prec@5 77.344 (81.634)
Epoch: [73][7480/14090]	Time 0.863 (0.766)	Data 0.001 (0.001)	Loss 1.7939 (1.8268)	Prec@1 48.438 (52.187)	Prec@5 85.938 (81.635)
Epoch: [73][7490/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 1.7926 (1.8267)	Prec@1 50.000 (52.188)	Prec@5 85.156 (81.636)
Epoch: [73][7500/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 1.6840 (1.8267)	Prec@1 50.000 (52.186)	Prec@5 84.375 (81.635)
Epoch: [73][7510/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.0799 (1.8267)	Prec@1 43.750 (52.185)	Prec@5 75.000 (81.633)
Epoch: [73][7520/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 1.8308 (1.8266)	Prec@1 50.000 (52.188)	Prec@5 82.812 (81.636)
Epoch: [73][7530/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 1.9077 (1.8267)	Prec@1 48.438 (52.183)	Prec@5 80.469 (81.636)
Epoch: [73][7540/14090]	Time 0.773 (0.766)	Data 0.001 (0.001)	Loss 1.8858 (1.8266)	Prec@1 51.562 (52.183)	Prec@5 80.469 (81.636)
Epoch: [73][7550/14090]	Time 0.884 (0.766)	Data 0.001 (0.001)	Loss 1.9347 (1.8267)	Prec@1 49.219 (52.182)	Prec@5 84.375 (81.636)
Epoch: [73][7560/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 1.7317 (1.8267)	Prec@1 51.562 (52.184)	Prec@5 84.375 (81.635)
Epoch: [73][7570/14090]	Time 0.773 (0.766)	Data 0.001 (0.001)	Loss 2.0629 (1.8267)	Prec@1 46.875 (52.183)	Prec@5 72.656 (81.635)
Epoch: [73][7580/14090]	Time 0.775 (0.766)	Data 0.001 (0.001)	Loss 1.8187 (1.8268)	Prec@1 53.125 (52.183)	Prec@5 82.812 (81.634)
Epoch: [73][7590/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 1.8000 (1.8268)	Prec@1 53.906 (52.182)	Prec@5 81.250 (81.633)
Epoch: [73][7600/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 1.8906 (1.8269)	Prec@1 54.688 (52.178)	Prec@5 76.562 (81.631)
Epoch: [73][7610/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 1.8530 (1.8270)	Prec@1 57.812 (52.180)	Prec@5 82.031 (81.630)
Epoch: [73][7620/14090]	Time 0.867 (0.766)	Data 0.001 (0.001)	Loss 1.6230 (1.8269)	Prec@1 57.812 (52.180)	Prec@5 83.594 (81.631)
Epoch: [73][7630/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.0459 (1.8270)	Prec@1 50.000 (52.178)	Prec@5 79.688 (81.629)
Epoch: [73][7640/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 1.8898 (1.8270)	Prec@1 50.000 (52.177)	Prec@5 83.594 (81.629)
Epoch: [73][7650/14090]	Time 0.792 (0.766)	Data 0.001 (0.001)	Loss 2.0035 (1.8271)	Prec@1 46.875 (52.175)	Prec@5 78.906 (81.627)
Epoch: [73][7660/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 1.5949 (1.8270)	Prec@1 54.688 (52.178)	Prec@5 84.375 (81.629)
Epoch: [73][7670/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 1.5750 (1.8272)	Prec@1 55.469 (52.173)	Prec@5 89.062 (81.627)
Epoch: [73][7680/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 1.6814 (1.8270)	Prec@1 62.500 (52.178)	Prec@5 83.594 (81.629)
Epoch: [73][7690/14090]	Time 0.858 (0.766)	Data 0.001 (0.001)	Loss 2.0906 (1.8271)	Prec@1 42.188 (52.176)	Prec@5 76.562 (81.627)
Epoch: [73][7700/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 1.8110 (1.8272)	Prec@1 57.031 (52.177)	Prec@5 81.250 (81.626)
Epoch: [73][7710/14090]	Time 0.769 (0.766)	Data 0.001 (0.001)	Loss 1.9629 (1.8272)	Prec@1 52.344 (52.176)	Prec@5 75.000 (81.624)
Epoch: [73][7720/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 1.9212 (1.8271)	Prec@1 48.438 (52.175)	Prec@5 83.594 (81.626)
Epoch: [73][7730/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 1.6118 (1.8271)	Prec@1 54.688 (52.175)	Prec@5 84.375 (81.625)
Epoch: [73][7740/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 1.9378 (1.8271)	Prec@1 45.312 (52.173)	Prec@5 79.688 (81.625)
Epoch: [73][7750/14090]	Time 0.774 (0.766)	Data 0.001 (0.001)	Loss 1.8603 (1.8272)	Prec@1 49.219 (52.172)	Prec@5 81.250 (81.624)
Epoch: [73][7760/14090]	Time 0.907 (0.766)	Data 0.001 (0.001)	Loss 2.1541 (1.8272)	Prec@1 49.219 (52.172)	Prec@5 73.438 (81.621)
Epoch: [73][7770/14090]	Time 0.744 (0.766)	Data 0.004 (0.001)	Loss 1.7130 (1.8272)	Prec@1 53.125 (52.173)	Prec@5 79.688 (81.619)
Epoch: [73][7780/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 1.8361 (1.8272)	Prec@1 51.562 (52.174)	Prec@5 79.688 (81.619)
Epoch: [73][7790/14090]	Time 0.781 (0.766)	Data 0.001 (0.001)	Loss 1.9505 (1.8272)	Prec@1 49.219 (52.176)	Prec@5 75.781 (81.619)
Epoch: [73][7800/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 1.9912 (1.8273)	Prec@1 49.219 (52.175)	Prec@5 75.781 (81.616)
Epoch: [73][7810/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 1.8203 (1.8274)	Prec@1 46.094 (52.172)	Prec@5 82.812 (81.614)
Epoch: [73][7820/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 1.9546 (1.8274)	Prec@1 50.000 (52.172)	Prec@5 80.469 (81.615)
Epoch: [73][7830/14090]	Time 0.869 (0.766)	Data 0.001 (0.001)	Loss 2.0397 (1.8275)	Prec@1 41.406 (52.168)	Prec@5 78.125 (81.613)
Epoch: [73][7840/14090]	Time 0.774 (0.766)	Data 0.001 (0.001)	Loss 1.8365 (1.8275)	Prec@1 59.375 (52.169)	Prec@5 81.250 (81.611)
Epoch: [73][7850/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 1.9626 (1.8274)	Prec@1 48.438 (52.171)	Prec@5 78.125 (81.613)
Epoch: [73][7860/14090]	Time 0.724 (0.766)	Data 0.001 (0.001)	Loss 1.9582 (1.8275)	Prec@1 54.688 (52.170)	Prec@5 81.250 (81.610)
Epoch: [73][7870/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 1.7930 (1.8275)	Prec@1 53.125 (52.171)	Prec@5 85.938 (81.611)
Epoch: [73][7880/14090]	Time 0.771 (0.766)	Data 0.001 (0.001)	Loss 1.8723 (1.8275)	Prec@1 53.125 (52.171)	Prec@5 80.469 (81.610)
Epoch: [73][7890/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 1.6830 (1.8275)	Prec@1 56.250 (52.170)	Prec@5 82.031 (81.609)
Epoch: [73][7900/14090]	Time 0.859 (0.766)	Data 0.001 (0.001)	Loss 1.5131 (1.8275)	Prec@1 63.281 (52.170)	Prec@5 89.062 (81.611)
Epoch: [73][7910/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 1.9629 (1.8275)	Prec@1 46.875 (52.168)	Prec@5 77.344 (81.610)
Epoch: [73][7920/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 1.5610 (1.8276)	Prec@1 59.375 (52.168)	Prec@5 87.500 (81.610)
Epoch: [73][7930/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 1.8636 (1.8276)	Prec@1 59.375 (52.170)	Prec@5 80.469 (81.609)
Epoch: [73][7940/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 1.6976 (1.8276)	Prec@1 46.875 (52.168)	Prec@5 84.375 (81.610)
Epoch: [73][7950/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 1.8683 (1.8277)	Prec@1 50.000 (52.168)	Prec@5 78.906 (81.607)
Epoch: [73][7960/14090]	Time 0.783 (0.766)	Data 0.001 (0.001)	Loss 1.7745 (1.8277)	Prec@1 50.781 (52.171)	Prec@5 84.375 (81.608)
Epoch: [73][7970/14090]	Time 0.913 (0.766)	Data 0.001 (0.001)	Loss 2.0214 (1.8277)	Prec@1 51.562 (52.169)	Prec@5 77.344 (81.608)
Epoch: [73][7980/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 1.5805 (1.8277)	Prec@1 61.719 (52.168)	Prec@5 82.812 (81.607)
Epoch: [73][7990/14090]	Time 0.765 (0.766)	Data 0.001 (0.001)	Loss 1.6977 (1.8278)	Prec@1 57.031 (52.167)	Prec@5 83.594 (81.604)
Epoch: [73][8000/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 1.9121 (1.8278)	Prec@1 51.562 (52.165)	Prec@5 76.562 (81.604)
Epoch: [73][8010/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 1.7685 (1.8278)	Prec@1 56.250 (52.166)	Prec@5 81.250 (81.603)
Epoch: [73][8020/14090]	Time 0.723 (0.766)	Data 0.001 (0.001)	Loss 1.7902 (1.8278)	Prec@1 54.688 (52.166)	Prec@5 84.375 (81.605)
Epoch: [73][8030/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 1.7831 (1.8278)	Prec@1 55.469 (52.165)	Prec@5 80.469 (81.604)
Epoch: [73][8040/14090]	Time 0.875 (0.766)	Data 0.001 (0.001)	Loss 1.8488 (1.8278)	Prec@1 55.469 (52.166)	Prec@5 80.469 (81.603)
Epoch: [73][8050/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 1.7378 (1.8279)	Prec@1 52.344 (52.163)	Prec@5 81.250 (81.602)
Epoch: [73][8060/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 1.8951 (1.8279)	Prec@1 54.688 (52.160)	Prec@5 81.250 (81.601)
Epoch: [73][8070/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 1.7735 (1.8279)	Prec@1 56.250 (52.162)	Prec@5 77.344 (81.602)
Epoch: [73][8080/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 1.6983 (1.8279)	Prec@1 53.906 (52.163)	Prec@5 83.594 (81.603)
Epoch: [73][8090/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.0750 (1.8279)	Prec@1 53.125 (52.163)	Prec@5 78.125 (81.601)
Epoch: [73][8100/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 1.9535 (1.8280)	Prec@1 46.094 (52.160)	Prec@5 80.469 (81.602)
Epoch: [73][8110/14090]	Time 0.865 (0.766)	Data 0.001 (0.001)	Loss 1.8123 (1.8280)	Prec@1 51.562 (52.159)	Prec@5 82.031 (81.601)
Epoch: [73][8120/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 2.0210 (1.8280)	Prec@1 44.531 (52.159)	Prec@5 76.562 (81.601)
Epoch: [73][8130/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 1.7263 (1.8280)	Prec@1 57.031 (52.159)	Prec@5 81.250 (81.600)
Epoch: [73][8140/14090]	Time 0.773 (0.766)	Data 0.001 (0.001)	Loss 1.6246 (1.8280)	Prec@1 53.906 (52.158)	Prec@5 88.281 (81.598)
Epoch: [73][8150/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 1.7262 (1.8279)	Prec@1 55.469 (52.162)	Prec@5 85.156 (81.599)
Epoch: [73][8160/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 1.8310 (1.8280)	Prec@1 49.219 (52.160)	Prec@5 82.031 (81.599)
Epoch: [73][8170/14090]	Time 0.767 (0.766)	Data 0.001 (0.001)	Loss 1.6276 (1.8279)	Prec@1 53.125 (52.162)	Prec@5 86.719 (81.601)
Epoch: [73][8180/14090]	Time 0.861 (0.766)	Data 0.001 (0.001)	Loss 1.9275 (1.8279)	Prec@1 49.219 (52.160)	Prec@5 78.906 (81.599)
Epoch: [73][8190/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 1.7238 (1.8279)	Prec@1 55.469 (52.161)	Prec@5 82.031 (81.599)
Epoch: [73][8200/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 1.9097 (1.8279)	Prec@1 50.000 (52.161)	Prec@5 79.688 (81.599)
Epoch: [73][8210/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 1.9703 (1.8279)	Prec@1 47.656 (52.161)	Prec@5 79.688 (81.599)
Epoch: [73][8220/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.0631 (1.8278)	Prec@1 45.312 (52.162)	Prec@5 76.562 (81.601)
Epoch: [73][8230/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 1.8870 (1.8279)	Prec@1 44.531 (52.162)	Prec@5 82.031 (81.601)
Epoch: [73][8240/14090]	Time 0.786 (0.766)	Data 0.001 (0.001)	Loss 1.8733 (1.8280)	Prec@1 46.875 (52.159)	Prec@5 81.250 (81.600)
Epoch: [73][8250/14090]	Time 0.888 (0.766)	Data 0.001 (0.001)	Loss 1.6630 (1.8280)	Prec@1 56.250 (52.159)	Prec@5 85.938 (81.599)
Epoch: [73][8260/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 1.4117 (1.8280)	Prec@1 61.719 (52.158)	Prec@5 85.938 (81.600)
Epoch: [73][8270/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 1.8746 (1.8279)	Prec@1 51.562 (52.158)	Prec@5 81.250 (81.602)
Epoch: [73][8280/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 1.5997 (1.8279)	Prec@1 49.219 (52.158)	Prec@5 86.719 (81.604)
Epoch: [73][8290/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 1.4901 (1.8277)	Prec@1 57.812 (52.160)	Prec@5 89.062 (81.605)
Epoch: [73][8300/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 1.7504 (1.8277)	Prec@1 60.938 (52.161)	Prec@5 85.156 (81.606)
Epoch: [73][8310/14090]	Time 0.770 (0.766)	Data 0.001 (0.001)	Loss 2.1773 (1.8278)	Prec@1 43.750 (52.160)	Prec@5 75.000 (81.605)
Epoch: [73][8320/14090]	Time 0.861 (0.766)	Data 0.001 (0.001)	Loss 1.6431 (1.8278)	Prec@1 57.812 (52.159)	Prec@5 85.156 (81.607)
Epoch: [73][8330/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 1.7920 (1.8278)	Prec@1 46.875 (52.156)	Prec@5 85.156 (81.607)
Epoch: [73][8340/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 1.8859 (1.8277)	Prec@1 54.688 (52.159)	Prec@5 82.031 (81.609)
Epoch: [73][8350/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 1.8176 (1.8278)	Prec@1 55.469 (52.157)	Prec@5 79.688 (81.608)
Epoch: [73][8360/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 1.8735 (1.8277)	Prec@1 46.094 (52.158)	Prec@5 81.250 (81.610)
Epoch: [73][8370/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.0010 (1.8277)	Prec@1 53.125 (52.160)	Prec@5 76.562 (81.610)
Epoch: [73][8380/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 1.7344 (1.8277)	Prec@1 56.250 (52.159)	Prec@5 83.594 (81.610)
Epoch: [73][8390/14090]	Time 0.883 (0.766)	Data 0.001 (0.001)	Loss 2.0005 (1.8277)	Prec@1 47.656 (52.160)	Prec@5 79.688 (81.610)
Epoch: [73][8400/14090]	Time 0.724 (0.766)	Data 0.001 (0.001)	Loss 1.9457 (1.8276)	Prec@1 47.656 (52.162)	Prec@5 80.469 (81.612)
Epoch: [73][8410/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.0800 (1.8276)	Prec@1 49.219 (52.162)	Prec@5 75.781 (81.611)
Epoch: [73][8420/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 1.8309 (1.8277)	Prec@1 48.438 (52.161)	Prec@5 75.781 (81.608)
Epoch: [73][8430/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.0631 (1.8277)	Prec@1 50.000 (52.160)	Prec@5 77.344 (81.607)
Epoch: [73][8440/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 1.6520 (1.8277)	Prec@1 53.906 (52.162)	Prec@5 84.375 (81.608)
Epoch: [73][8450/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 1.9417 (1.8278)	Prec@1 44.531 (52.161)	Prec@5 82.812 (81.604)
Epoch: [73][8460/14090]	Time 0.849 (0.766)	Data 0.001 (0.001)	Loss 2.0151 (1.8278)	Prec@1 50.000 (52.160)	Prec@5 77.344 (81.604)
Epoch: [73][8470/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 1.8262 (1.8279)	Prec@1 52.344 (52.160)	Prec@5 82.031 (81.603)
Epoch: [73][8480/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 1.6525 (1.8279)	Prec@1 57.812 (52.159)	Prec@5 78.125 (81.601)
Epoch: [73][8490/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 1.9244 (1.8278)	Prec@1 47.656 (52.160)	Prec@5 82.031 (81.601)
Epoch: [73][8500/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.0469 (1.8278)	Prec@1 52.344 (52.162)	Prec@5 82.812 (81.601)
Epoch: [73][8510/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 1.9125 (1.8278)	Prec@1 47.656 (52.161)	Prec@5 80.469 (81.601)
Epoch: [73][8520/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 1.6017 (1.8278)	Prec@1 57.812 (52.162)	Prec@5 85.156 (81.603)
Epoch: [73][8530/14090]	Time 0.853 (0.766)	Data 0.001 (0.001)	Loss 1.8167 (1.8278)	Prec@1 52.344 (52.162)	Prec@5 78.906 (81.603)
Epoch: [73][8540/14090]	Time 0.806 (0.766)	Data 0.001 (0.001)	Loss 1.7736 (1.8277)	Prec@1 52.344 (52.163)	Prec@5 81.250 (81.603)
Epoch: [73][8550/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.0436 (1.8277)	Prec@1 48.438 (52.163)	Prec@5 77.344 (81.604)
Epoch: [73][8560/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.0881 (1.8277)	Prec@1 45.312 (52.162)	Prec@5 77.344 (81.603)
Epoch: [73][8570/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 1.9116 (1.8277)	Prec@1 52.344 (52.161)	Prec@5 75.781 (81.603)
Epoch: [73][8580/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 1.7514 (1.8277)	Prec@1 48.438 (52.161)	Prec@5 82.031 (81.603)
Epoch: [73][8590/14090]	Time 0.738 (0.766)	Data 0.002 (0.001)	Loss 1.8767 (1.8278)	Prec@1 46.875 (52.157)	Prec@5 78.906 (81.601)
Epoch: [73][8600/14090]	Time 0.902 (0.766)	Data 0.001 (0.001)	Loss 1.7712 (1.8277)	Prec@1 49.219 (52.159)	Prec@5 84.375 (81.601)
Epoch: [73][8610/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 1.8436 (1.8277)	Prec@1 55.469 (52.161)	Prec@5 79.688 (81.602)
Epoch: [73][8620/14090]	Time 0.765 (0.766)	Data 0.001 (0.001)	Loss 2.0458 (1.8277)	Prec@1 44.531 (52.161)	Prec@5 75.781 (81.603)
Epoch: [73][8630/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 1.9689 (1.8278)	Prec@1 49.219 (52.158)	Prec@5 78.125 (81.602)
Epoch: [73][8640/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 1.8700 (1.8279)	Prec@1 53.125 (52.156)	Prec@5 82.031 (81.598)
Epoch: [73][8650/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 1.7516 (1.8280)	Prec@1 54.688 (52.154)	Prec@5 82.031 (81.598)
Epoch: [73][8660/14090]	Time 0.753 (0.766)	Data 0.003 (0.001)	Loss 1.7636 (1.8279)	Prec@1 54.688 (52.156)	Prec@5 82.812 (81.599)
Epoch: [73][8670/14090]	Time 0.893 (0.766)	Data 0.001 (0.001)	Loss 1.8666 (1.8280)	Prec@1 51.562 (52.155)	Prec@5 79.688 (81.599)
Epoch: [73][8680/14090]	Time 0.723 (0.766)	Data 0.001 (0.001)	Loss 1.8057 (1.8280)	Prec@1 50.000 (52.155)	Prec@5 80.469 (81.600)
Epoch: [73][8690/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 1.8760 (1.8279)	Prec@1 56.250 (52.157)	Prec@5 82.812 (81.601)
Epoch: [73][8700/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 1.8276 (1.8279)	Prec@1 47.656 (52.158)	Prec@5 85.938 (81.602)
Epoch: [73][8710/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 1.6248 (1.8279)	Prec@1 57.812 (52.158)	Prec@5 83.594 (81.602)
Epoch: [73][8720/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 1.8174 (1.8280)	Prec@1 53.906 (52.156)	Prec@5 82.031 (81.600)
Epoch: [73][8730/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 1.9730 (1.8281)	Prec@1 51.562 (52.153)	Prec@5 78.906 (81.599)
Epoch: [73][8740/14090]	Time 0.998 (0.766)	Data 0.001 (0.001)	Loss 1.8758 (1.8281)	Prec@1 51.562 (52.152)	Prec@5 80.469 (81.598)
Epoch: [73][8750/14090]	Time 0.719 (0.766)	Data 0.001 (0.001)	Loss 1.7823 (1.8281)	Prec@1 53.125 (52.151)	Prec@5 85.156 (81.598)
Epoch: [73][8760/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 1.9222 (1.8281)	Prec@1 50.781 (52.154)	Prec@5 88.281 (81.599)
Epoch: [73][8770/14090]	Time 0.775 (0.766)	Data 0.001 (0.001)	Loss 1.8118 (1.8282)	Prec@1 49.219 (52.152)	Prec@5 83.594 (81.598)
Epoch: [73][8780/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 1.6807 (1.8281)	Prec@1 58.594 (52.152)	Prec@5 81.250 (81.598)
Epoch: [73][8790/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 1.6846 (1.8281)	Prec@1 50.781 (52.153)	Prec@5 85.156 (81.598)
Epoch: [73][8800/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.2353 (1.8282)	Prec@1 46.875 (52.154)	Prec@5 75.781 (81.597)
Epoch: [73][8810/14090]	Time 0.881 (0.766)	Data 0.001 (0.001)	Loss 2.0451 (1.8280)	Prec@1 47.656 (52.156)	Prec@5 75.000 (81.598)
Epoch: [73][8820/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 1.9522 (1.8282)	Prec@1 46.094 (52.154)	Prec@5 82.031 (81.596)
Epoch: [73][8830/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.0849 (1.8282)	Prec@1 50.000 (52.153)	Prec@5 81.250 (81.596)
Epoch: [73][8840/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 1.5923 (1.8281)	Prec@1 53.906 (52.155)	Prec@5 89.062 (81.598)
Epoch: [73][8850/14090]	Time 0.769 (0.766)	Data 0.001 (0.001)	Loss 1.6715 (1.8281)	Prec@1 60.938 (52.156)	Prec@5 84.375 (81.601)
Epoch: [73][8860/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 1.9879 (1.8281)	Prec@1 50.000 (52.155)	Prec@5 76.562 (81.599)
Epoch: [73][8870/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 1.7768 (1.8281)	Prec@1 52.344 (52.152)	Prec@5 82.031 (81.598)
Epoch: [73][8880/14090]	Time 0.850 (0.766)	Data 0.001 (0.001)	Loss 1.7234 (1.8281)	Prec@1 56.250 (52.152)	Prec@5 85.156 (81.598)
Epoch: [73][8890/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 1.9687 (1.8282)	Prec@1 45.312 (52.150)	Prec@5 75.000 (81.598)
Epoch: [73][8900/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 1.8231 (1.8281)	Prec@1 50.000 (52.150)	Prec@5 82.812 (81.598)
Epoch: [73][8910/14090]	Time 0.783 (0.766)	Data 0.003 (0.001)	Loss 1.7040 (1.8281)	Prec@1 50.781 (52.152)	Prec@5 83.594 (81.597)
Epoch: [73][8920/14090]	Time 0.787 (0.766)	Data 0.001 (0.001)	Loss 2.0045 (1.8281)	Prec@1 47.656 (52.152)	Prec@5 78.125 (81.598)
Epoch: [73][8930/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 1.8065 (1.8281)	Prec@1 52.344 (52.151)	Prec@5 80.469 (81.598)
Epoch: [73][8940/14090]	Time 0.769 (0.766)	Data 0.001 (0.001)	Loss 1.8213 (1.8281)	Prec@1 50.000 (52.152)	Prec@5 82.031 (81.598)
Epoch: [73][8950/14090]	Time 0.871 (0.766)	Data 0.001 (0.001)	Loss 1.7182 (1.8281)	Prec@1 52.344 (52.151)	Prec@5 85.938 (81.599)
Epoch: [73][8960/14090]	Time 0.721 (0.766)	Data 0.001 (0.001)	Loss 2.0502 (1.8281)	Prec@1 50.781 (52.150)	Prec@5 78.125 (81.599)
Epoch: [73][8970/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 1.8954 (1.8281)	Prec@1 51.562 (52.150)	Prec@5 79.688 (81.598)
Epoch: [73][8980/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 1.9328 (1.8280)	Prec@1 50.000 (52.151)	Prec@5 79.688 (81.601)
Epoch: [73][8990/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 1.8669 (1.8280)	Prec@1 53.125 (52.149)	Prec@5 79.688 (81.600)
Epoch: [73][9000/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.0657 (1.8281)	Prec@1 56.250 (52.147)	Prec@5 71.094 (81.598)
Epoch: [73][9010/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 1.8581 (1.8281)	Prec@1 48.438 (52.148)	Prec@5 80.469 (81.599)
Epoch: [73][9020/14090]	Time 0.868 (0.766)	Data 0.001 (0.001)	Loss 1.9355 (1.8281)	Prec@1 53.906 (52.151)	Prec@5 80.469 (81.598)
Epoch: [73][9030/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 1.6622 (1.8281)	Prec@1 53.125 (52.151)	Prec@5 85.156 (81.597)
Epoch: [73][9040/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.1206 (1.8281)	Prec@1 46.875 (52.151)	Prec@5 76.562 (81.597)
Epoch: [73][9050/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 1.5586 (1.8280)	Prec@1 55.469 (52.152)	Prec@5 85.938 (81.599)
Epoch: [73][9060/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 1.6512 (1.8281)	Prec@1 57.812 (52.152)	Prec@5 80.469 (81.597)
Epoch: [73][9070/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 2.0950 (1.8281)	Prec@1 40.625 (52.150)	Prec@5 77.344 (81.598)
Epoch: [73][9080/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 1.9193 (1.8282)	Prec@1 46.875 (52.147)	Prec@5 81.250 (81.596)
Epoch: [73][9090/14090]	Time 0.874 (0.766)	Data 0.001 (0.001)	Loss 1.4983 (1.8281)	Prec@1 60.156 (52.147)	Prec@5 87.500 (81.598)
Epoch: [73][9100/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 1.7378 (1.8281)	Prec@1 49.219 (52.148)	Prec@5 85.938 (81.599)
Epoch: [73][9110/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 1.8440 (1.8281)	Prec@1 50.781 (52.149)	Prec@5 84.375 (81.599)
Epoch: [73][9120/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 1.7076 (1.8281)	Prec@1 55.469 (52.149)	Prec@5 83.594 (81.599)
Epoch: [73][9130/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 1.6192 (1.8281)	Prec@1 59.375 (52.150)	Prec@5 86.719 (81.599)
Epoch: [73][9140/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.0678 (1.8281)	Prec@1 53.906 (52.150)	Prec@5 75.000 (81.598)
Epoch: [73][9150/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 1.7606 (1.8281)	Prec@1 55.469 (52.150)	Prec@5 81.250 (81.599)
Epoch: [73][9160/14090]	Time 0.872 (0.766)	Data 0.001 (0.001)	Loss 1.6010 (1.8280)	Prec@1 58.594 (52.151)	Prec@5 83.594 (81.599)
Epoch: [73][9170/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.0922 (1.8280)	Prec@1 43.750 (52.149)	Prec@5 78.125 (81.602)
Epoch: [73][9180/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 1.6944 (1.8281)	Prec@1 50.000 (52.147)	Prec@5 85.156 (81.602)
Epoch: [73][9190/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 2.0564 (1.8280)	Prec@1 50.000 (52.147)	Prec@5 75.781 (81.602)
Epoch: [73][9200/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.0816 (1.8281)	Prec@1 46.875 (52.145)	Prec@5 77.344 (81.600)
Epoch: [73][9210/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 1.7553 (1.8281)	Prec@1 53.906 (52.146)	Prec@5 84.375 (81.601)
Epoch: [73][9220/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 1.9282 (1.8281)	Prec@1 51.562 (52.147)	Prec@5 82.031 (81.599)
Epoch: [73][9230/14090]	Time 0.844 (0.766)	Data 0.001 (0.001)	Loss 2.1243 (1.8282)	Prec@1 50.781 (52.147)	Prec@5 76.562 (81.599)
Epoch: [73][9240/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 1.9640 (1.8282)	Prec@1 44.531 (52.147)	Prec@5 82.031 (81.598)
Epoch: [73][9250/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 1.6583 (1.8282)	Prec@1 60.938 (52.147)	Prec@5 86.719 (81.598)
Epoch: [73][9260/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 1.7846 (1.8282)	Prec@1 55.469 (52.150)	Prec@5 85.156 (81.598)
Epoch: [73][9270/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 1.7652 (1.8283)	Prec@1 51.562 (52.149)	Prec@5 80.469 (81.598)
Epoch: [73][9280/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.0192 (1.8282)	Prec@1 51.562 (52.149)	Prec@5 78.906 (81.600)
Epoch: [73][9290/14090]	Time 0.787 (0.766)	Data 0.001 (0.001)	Loss 1.9147 (1.8283)	Prec@1 50.000 (52.149)	Prec@5 79.688 (81.598)
Epoch: [73][9300/14090]	Time 0.838 (0.766)	Data 0.001 (0.001)	Loss 1.6780 (1.8282)	Prec@1 51.562 (52.150)	Prec@5 85.938 (81.600)
Epoch: [73][9310/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 1.7422 (1.8283)	Prec@1 52.344 (52.150)	Prec@5 82.031 (81.599)
Epoch: [73][9320/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 1.7117 (1.8282)	Prec@1 53.125 (52.148)	Prec@5 89.062 (81.601)
Epoch: [73][9330/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 1.5601 (1.8281)	Prec@1 61.719 (52.151)	Prec@5 80.469 (81.602)
Epoch: [73][9340/14090]	Time 0.765 (0.766)	Data 0.001 (0.001)	Loss 2.0050 (1.8282)	Prec@1 48.438 (52.150)	Prec@5 82.031 (81.602)
Epoch: [73][9350/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 1.4733 (1.8282)	Prec@1 62.500 (52.150)	Prec@5 87.500 (81.603)
Epoch: [73][9360/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 1.8137 (1.8282)	Prec@1 50.000 (52.149)	Prec@5 82.812 (81.603)
Epoch: [73][9370/14090]	Time 0.879 (0.766)	Data 0.001 (0.001)	Loss 2.0229 (1.8282)	Prec@1 48.438 (52.147)	Prec@5 76.562 (81.602)
Epoch: [73][9380/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 1.7493 (1.8283)	Prec@1 48.438 (52.146)	Prec@5 81.250 (81.600)
Epoch: [73][9390/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 1.9452 (1.8283)	Prec@1 47.656 (52.146)	Prec@5 80.469 (81.601)
Epoch: [73][9400/14090]	Time 0.779 (0.766)	Data 0.001 (0.001)	Loss 1.7029 (1.8283)	Prec@1 56.250 (52.146)	Prec@5 82.812 (81.603)
Epoch: [73][9410/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 1.6141 (1.8282)	Prec@1 59.375 (52.147)	Prec@5 82.031 (81.604)
Epoch: [73][9420/14090]	Time 0.719 (0.766)	Data 0.001 (0.001)	Loss 1.7397 (1.8282)	Prec@1 52.344 (52.145)	Prec@5 82.812 (81.602)
Epoch: [73][9430/14090]	Time 0.767 (0.766)	Data 0.001 (0.001)	Loss 1.6838 (1.8282)	Prec@1 53.906 (52.145)	Prec@5 86.719 (81.603)
Epoch: [73][9440/14090]	Time 0.839 (0.766)	Data 0.001 (0.001)	Loss 1.7153 (1.8281)	Prec@1 50.000 (52.146)	Prec@5 85.938 (81.605)
Epoch: [73][9450/14090]	Time 0.724 (0.766)	Data 0.001 (0.001)	Loss 2.1160 (1.8281)	Prec@1 48.438 (52.145)	Prec@5 75.000 (81.606)
Epoch: [73][9460/14090]	Time 0.782 (0.766)	Data 0.001 (0.001)	Loss 1.7564 (1.8281)	Prec@1 51.562 (52.142)	Prec@5 82.031 (81.604)
Epoch: [73][9470/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 1.9630 (1.8281)	Prec@1 49.219 (52.143)	Prec@5 79.688 (81.605)
Epoch: [73][9480/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 1.8136 (1.8282)	Prec@1 55.469 (52.141)	Prec@5 80.469 (81.605)
Epoch: [73][9490/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 1.8492 (1.8283)	Prec@1 53.125 (52.140)	Prec@5 78.906 (81.603)
Epoch: [73][9500/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.1124 (1.8283)	Prec@1 45.312 (52.138)	Prec@5 75.000 (81.601)
Epoch: [73][9510/14090]	Time 0.841 (0.766)	Data 0.001 (0.001)	Loss 1.9536 (1.8284)	Prec@1 53.125 (52.139)	Prec@5 78.906 (81.601)
Epoch: [73][9520/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 1.7432 (1.8283)	Prec@1 47.656 (52.140)	Prec@5 82.812 (81.602)
Epoch: [73][9530/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 1.8126 (1.8283)	Prec@1 52.344 (52.141)	Prec@5 81.250 (81.602)
Epoch: [73][9540/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 1.7581 (1.8283)	Prec@1 54.688 (52.140)	Prec@5 85.938 (81.602)
Epoch: [73][9550/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 1.8282 (1.8285)	Prec@1 53.125 (52.138)	Prec@5 78.906 (81.600)
Epoch: [73][9560/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.0016 (1.8284)	Prec@1 48.438 (52.138)	Prec@5 77.344 (81.601)
Epoch: [73][9570/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 1.9736 (1.8284)	Prec@1 50.781 (52.138)	Prec@5 80.469 (81.600)
Epoch: [73][9580/14090]	Time 0.865 (0.766)	Data 0.001 (0.001)	Loss 1.8476 (1.8284)	Prec@1 55.469 (52.138)	Prec@5 78.125 (81.600)
Epoch: [73][9590/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 1.8836 (1.8285)	Prec@1 49.219 (52.138)	Prec@5 79.688 (81.599)
Epoch: [73][9600/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 1.6833 (1.8285)	Prec@1 55.469 (52.137)	Prec@5 86.719 (81.600)
Epoch: [73][9610/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 1.7948 (1.8285)	Prec@1 56.250 (52.140)	Prec@5 82.031 (81.600)
Epoch: [73][9620/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 1.7974 (1.8285)	Prec@1 54.688 (52.141)	Prec@5 80.469 (81.599)
Epoch: [73][9630/14090]	Time 0.723 (0.766)	Data 0.001 (0.001)	Loss 1.5731 (1.8284)	Prec@1 52.344 (52.141)	Prec@5 85.938 (81.601)
Epoch: [73][9640/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 1.8578 (1.8284)	Prec@1 44.531 (52.139)	Prec@5 82.812 (81.603)
Epoch: [73][9650/14090]	Time 0.847 (0.766)	Data 0.001 (0.001)	Loss 1.6433 (1.8283)	Prec@1 58.594 (52.140)	Prec@5 83.594 (81.604)
Epoch: [73][9660/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 1.5929 (1.8284)	Prec@1 57.812 (52.139)	Prec@5 85.156 (81.602)
Epoch: [73][9670/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 1.6631 (1.8283)	Prec@1 53.906 (52.141)	Prec@5 81.250 (81.603)
Epoch: [73][9680/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 1.6834 (1.8283)	Prec@1 52.344 (52.141)	Prec@5 83.594 (81.603)
Epoch: [73][9690/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 1.8149 (1.8283)	Prec@1 51.562 (52.140)	Prec@5 86.719 (81.602)
Epoch: [73][9700/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 1.9406 (1.8282)	Prec@1 49.219 (52.142)	Prec@5 77.344 (81.603)
Epoch: [73][9710/14090]	Time 0.774 (0.766)	Data 0.001 (0.001)	Loss 1.8003 (1.8283)	Prec@1 52.344 (52.139)	Prec@5 82.812 (81.602)
Epoch: [73][9720/14090]	Time 0.842 (0.766)	Data 0.001 (0.001)	Loss 1.7782 (1.8283)	Prec@1 56.250 (52.139)	Prec@5 83.594 (81.603)
Epoch: [73][9730/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 1.5730 (1.8283)	Prec@1 64.062 (52.141)	Prec@5 82.031 (81.603)
Epoch: [73][9740/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 1.9439 (1.8283)	Prec@1 52.344 (52.142)	Prec@5 76.562 (81.603)
Epoch: [73][9750/14090]	Time 0.771 (0.766)	Data 0.001 (0.001)	Loss 1.7544 (1.8283)	Prec@1 53.125 (52.142)	Prec@5 82.031 (81.603)
Epoch: [73][9760/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 1.8560 (1.8283)	Prec@1 50.000 (52.143)	Prec@5 82.031 (81.603)
Epoch: [73][9770/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.0360 (1.8284)	Prec@1 49.219 (52.141)	Prec@5 78.125 (81.602)
Epoch: [73][9780/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.0009 (1.8284)	Prec@1 48.438 (52.141)	Prec@5 75.781 (81.602)
Epoch: [73][9790/14090]	Time 0.828 (0.766)	Data 0.001 (0.001)	Loss 1.5911 (1.8283)	Prec@1 58.594 (52.143)	Prec@5 85.156 (81.603)
Epoch: [73][9800/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 1.9355 (1.8283)	Prec@1 48.438 (52.140)	Prec@5 80.469 (81.603)
Epoch: [73][9810/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 1.9495 (1.8283)	Prec@1 51.562 (52.141)	Prec@5 81.250 (81.604)
Epoch: [73][9820/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.1646 (1.8283)	Prec@1 38.281 (52.139)	Prec@5 75.000 (81.605)
Epoch: [73][9830/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.0109 (1.8284)	Prec@1 49.219 (52.138)	Prec@5 80.469 (81.603)
Epoch: [73][9840/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 1.7246 (1.8284)	Prec@1 56.250 (52.136)	Prec@5 85.156 (81.603)
Epoch: [73][9850/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.0065 (1.8284)	Prec@1 42.969 (52.138)	Prec@5 80.469 (81.604)
Epoch: [73][9860/14090]	Time 0.857 (0.766)	Data 0.001 (0.001)	Loss 1.9224 (1.8284)	Prec@1 51.562 (52.137)	Prec@5 82.812 (81.605)
Epoch: [73][9870/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 1.8603 (1.8283)	Prec@1 53.125 (52.138)	Prec@5 78.906 (81.605)
Epoch: [73][9880/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 1.8901 (1.8284)	Prec@1 50.781 (52.138)	Prec@5 82.031 (81.605)
Epoch: [73][9890/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 1.9206 (1.8284)	Prec@1 46.094 (52.136)	Prec@5 83.594 (81.606)
Epoch: [73][9900/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 1.9100 (1.8285)	Prec@1 48.438 (52.134)	Prec@5 81.250 (81.605)
Epoch: [73][9910/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 1.8936 (1.8284)	Prec@1 51.562 (52.135)	Prec@5 85.938 (81.606)
Epoch: [73][9920/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.1283 (1.8285)	Prec@1 51.562 (52.135)	Prec@5 79.688 (81.604)
Epoch: [73][9930/14090]	Time 0.859 (0.766)	Data 0.001 (0.001)	Loss 2.0828 (1.8285)	Prec@1 50.781 (52.135)	Prec@5 76.562 (81.605)
Epoch: [73][9940/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 1.8626 (1.8285)	Prec@1 50.000 (52.134)	Prec@5 79.688 (81.605)
Epoch: [73][9950/14090]	Time 0.780 (0.766)	Data 0.001 (0.001)	Loss 1.8597 (1.8286)	Prec@1 51.562 (52.133)	Prec@5 79.688 (81.604)
Epoch: [73][9960/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.1511 (1.8286)	Prec@1 46.875 (52.132)	Prec@5 75.000 (81.605)
Epoch: [73][9970/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 1.7496 (1.8286)	Prec@1 54.688 (52.131)	Prec@5 81.250 (81.604)
Epoch: [73][9980/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 1.6280 (1.8286)	Prec@1 57.812 (52.130)	Prec@5 80.469 (81.605)
Epoch: [73][9990/14090]	Time 0.785 (0.766)	Data 0.001 (0.001)	Loss 1.7186 (1.8286)	Prec@1 54.688 (52.129)	Prec@5 82.812 (81.605)
Epoch: [73][10000/14090]	Time 0.872 (0.766)	Data 0.001 (0.001)	Loss 1.8523 (1.8285)	Prec@1 56.250 (52.132)	Prec@5 82.031 (81.607)
Epoch: [73][10010/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 1.7851 (1.8284)	Prec@1 57.031 (52.133)	Prec@5 82.031 (81.609)
Epoch: [73][10020/14090]	Time 0.783 (0.766)	Data 0.001 (0.001)	Loss 2.1131 (1.8285)	Prec@1 45.312 (52.130)	Prec@5 75.781 (81.607)
Epoch: [73][10030/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.0427 (1.8286)	Prec@1 47.656 (52.128)	Prec@5 77.344 (81.604)
Epoch: [73][10040/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 1.8389 (1.8287)	Prec@1 48.438 (52.126)	Prec@5 81.250 (81.603)
Epoch: [73][10050/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 1.8660 (1.8288)	Prec@1 53.125 (52.125)	Prec@5 82.812 (81.603)
Epoch: [73][10060/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 1.9570 (1.8287)	Prec@1 47.656 (52.124)	Prec@5 78.906 (81.603)
Epoch: [73][10070/14090]	Time 0.849 (0.766)	Data 0.001 (0.001)	Loss 2.1886 (1.8288)	Prec@1 46.094 (52.122)	Prec@5 71.875 (81.602)
Epoch: [73][10080/14090]	Time 0.719 (0.766)	Data 0.001 (0.001)	Loss 1.8160 (1.8287)	Prec@1 50.781 (52.123)	Prec@5 81.250 (81.603)
Epoch: [73][10090/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.0632 (1.8288)	Prec@1 51.562 (52.122)	Prec@5 75.781 (81.601)
Epoch: [73][10100/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 1.6509 (1.8288)	Prec@1 60.156 (52.123)	Prec@5 85.156 (81.601)
Epoch: [73][10110/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 1.7095 (1.8289)	Prec@1 59.375 (52.122)	Prec@5 82.031 (81.601)
Epoch: [73][10120/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 1.8697 (1.8289)	Prec@1 50.000 (52.122)	Prec@5 80.469 (81.601)
Epoch: [73][10130/14090]	Time 0.722 (0.766)	Data 0.001 (0.001)	Loss 1.5097 (1.8288)	Prec@1 57.812 (52.125)	Prec@5 86.719 (81.602)
Epoch: [73][10140/14090]	Time 0.890 (0.766)	Data 0.001 (0.001)	Loss 1.6466 (1.8287)	Prec@1 57.812 (52.124)	Prec@5 84.375 (81.604)
Epoch: [73][10150/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 1.7957 (1.8288)	Prec@1 52.344 (52.123)	Prec@5 82.812 (81.604)
Epoch: [73][10160/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 1.8156 (1.8288)	Prec@1 51.562 (52.123)	Prec@5 82.812 (81.604)
Epoch: [73][10170/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 1.8360 (1.8287)	Prec@1 50.000 (52.123)	Prec@5 79.688 (81.604)
Epoch: [73][10180/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 1.9431 (1.8288)	Prec@1 52.344 (52.123)	Prec@5 80.469 (81.605)
Epoch: [73][10190/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.0582 (1.8288)	Prec@1 46.094 (52.122)	Prec@5 81.250 (81.606)
Epoch: [73][10200/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.0193 (1.8288)	Prec@1 46.094 (52.120)	Prec@5 78.125 (81.605)
Epoch: [73][10210/14090]	Time 0.857 (0.766)	Data 0.001 (0.001)	Loss 1.8544 (1.8288)	Prec@1 48.438 (52.119)	Prec@5 79.688 (81.604)
Epoch: [73][10220/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 1.8388 (1.8289)	Prec@1 56.250 (52.118)	Prec@5 83.594 (81.604)
Epoch: [73][10230/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 1.7874 (1.8289)	Prec@1 54.688 (52.119)	Prec@5 79.688 (81.604)
Epoch: [73][10240/14090]	Time 0.765 (0.766)	Data 0.001 (0.001)	Loss 2.0482 (1.8290)	Prec@1 49.219 (52.116)	Prec@5 75.781 (81.602)
Epoch: [73][10250/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 1.6842 (1.8289)	Prec@1 61.719 (52.117)	Prec@5 84.375 (81.603)
Epoch: [73][10260/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 1.9028 (1.8288)	Prec@1 50.000 (52.117)	Prec@5 84.375 (81.606)
Epoch: [73][10270/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 1.8052 (1.8288)	Prec@1 51.562 (52.119)	Prec@5 83.594 (81.607)
Epoch: [73][10280/14090]	Time 0.857 (0.766)	Data 0.001 (0.001)	Loss 1.7627 (1.8288)	Prec@1 55.469 (52.119)	Prec@5 82.812 (81.607)
Epoch: [73][10290/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 1.6482 (1.8288)	Prec@1 59.375 (52.120)	Prec@5 88.281 (81.607)
Epoch: [73][10300/14090]	Time 0.784 (0.766)	Data 0.001 (0.001)	Loss 1.7452 (1.8288)	Prec@1 58.594 (52.120)	Prec@5 86.719 (81.607)
Epoch: [73][10310/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 1.7321 (1.8288)	Prec@1 55.469 (52.121)	Prec@5 86.719 (81.608)
Epoch: [73][10320/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 1.9444 (1.8288)	Prec@1 46.875 (52.120)	Prec@5 81.250 (81.608)
Epoch: [73][10330/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 1.6937 (1.8288)	Prec@1 53.906 (52.121)	Prec@5 80.469 (81.607)
Epoch: [73][10340/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 1.6137 (1.8288)	Prec@1 57.812 (52.122)	Prec@5 87.500 (81.607)
Epoch: [73][10350/14090]	Time 0.892 (0.766)	Data 0.001 (0.001)	Loss 1.9666 (1.8288)	Prec@1 48.438 (52.124)	Prec@5 79.688 (81.606)
Epoch: [73][10360/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 1.8023 (1.8288)	Prec@1 53.125 (52.123)	Prec@5 83.594 (81.606)
Epoch: [73][10370/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 1.9114 (1.8288)	Prec@1 53.906 (52.123)	Prec@5 82.812 (81.606)
Epoch: [73][10380/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.1118 (1.8289)	Prec@1 46.875 (52.121)	Prec@5 75.781 (81.603)
Epoch: [73][10390/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 1.8074 (1.8290)	Prec@1 50.000 (52.121)	Prec@5 82.812 (81.602)
Epoch: [73][10400/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.0377 (1.8290)	Prec@1 50.000 (52.121)	Prec@5 78.906 (81.601)
Epoch: [73][10410/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 1.7647 (1.8290)	Prec@1 50.000 (52.120)	Prec@5 83.594 (81.601)
Epoch: [73][10420/14090]	Time 0.845 (0.766)	Data 0.001 (0.001)	Loss 1.9085 (1.8291)	Prec@1 52.344 (52.118)	Prec@5 82.812 (81.601)
Epoch: [73][10430/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 1.7414 (1.8291)	Prec@1 55.469 (52.119)	Prec@5 79.688 (81.600)
Epoch: [73][10440/14090]	Time 0.783 (0.766)	Data 0.001 (0.001)	Loss 1.7741 (1.8292)	Prec@1 53.125 (52.116)	Prec@5 81.250 (81.600)
Epoch: [73][10450/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 1.9662 (1.8291)	Prec@1 50.781 (52.119)	Prec@5 84.375 (81.601)
Epoch: [73][10460/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 1.9386 (1.8291)	Prec@1 48.438 (52.119)	Prec@5 78.125 (81.602)
Epoch: [73][10470/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 1.8232 (1.8291)	Prec@1 53.906 (52.116)	Prec@5 78.125 (81.601)
Epoch: [73][10480/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 1.8088 (1.8292)	Prec@1 51.562 (52.116)	Prec@5 86.719 (81.601)
Epoch: [73][10490/14090]	Time 0.887 (0.766)	Data 0.001 (0.001)	Loss 1.7783 (1.8291)	Prec@1 53.906 (52.116)	Prec@5 80.469 (81.601)
Epoch: [73][10500/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 1.8180 (1.8291)	Prec@1 54.688 (52.116)	Prec@5 79.688 (81.602)
Epoch: [73][10510/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.1523 (1.8292)	Prec@1 47.656 (52.117)	Prec@5 73.438 (81.599)
Epoch: [73][10520/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 1.7033 (1.8292)	Prec@1 57.031 (52.119)	Prec@5 84.375 (81.599)
Epoch: [73][10530/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 1.5184 (1.8292)	Prec@1 61.719 (52.117)	Prec@5 86.719 (81.600)
Epoch: [73][10540/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 1.5896 (1.8292)	Prec@1 60.156 (52.118)	Prec@5 85.938 (81.599)
Epoch: [73][10550/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 1.8789 (1.8292)	Prec@1 48.438 (52.118)	Prec@5 82.812 (81.598)
Epoch: [73][10560/14090]	Time 0.847 (0.766)	Data 0.001 (0.001)	Loss 1.8734 (1.8292)	Prec@1 53.125 (52.119)	Prec@5 81.250 (81.597)
Epoch: [73][10570/14090]	Time 0.738 (0.766)	Data 0.002 (0.001)	Loss 2.0639 (1.8293)	Prec@1 43.750 (52.116)	Prec@5 78.906 (81.596)
Epoch: [73][10580/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 1.9995 (1.8293)	Prec@1 42.969 (52.115)	Prec@5 79.688 (81.596)
Epoch: [73][10590/14090]	Time 0.724 (0.766)	Data 0.001 (0.001)	Loss 2.0148 (1.8293)	Prec@1 50.000 (52.113)	Prec@5 77.344 (81.597)
Epoch: [73][10600/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 1.7200 (1.8293)	Prec@1 53.125 (52.111)	Prec@5 84.375 (81.597)
Epoch: [73][10610/14090]	Time 0.761 (0.766)	Data 0.002 (0.001)	Loss 1.8761 (1.8293)	Prec@1 47.656 (52.113)	Prec@5 78.125 (81.597)
Epoch: [73][10620/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 1.8081 (1.8292)	Prec@1 50.781 (52.112)	Prec@5 85.156 (81.598)
Epoch: [73][10630/14090]	Time 0.857 (0.766)	Data 0.001 (0.001)	Loss 1.9510 (1.8292)	Prec@1 48.438 (52.111)	Prec@5 82.031 (81.599)
Epoch: [73][10640/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 1.8095 (1.8293)	Prec@1 54.688 (52.112)	Prec@5 79.688 (81.597)
Epoch: [73][10650/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 1.6903 (1.8292)	Prec@1 56.250 (52.114)	Prec@5 84.375 (81.597)
Epoch: [73][10660/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 1.8655 (1.8291)	Prec@1 50.781 (52.115)	Prec@5 82.812 (81.599)
Epoch: [73][10670/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 1.5289 (1.8290)	Prec@1 58.594 (52.119)	Prec@5 86.719 (81.602)
Epoch: [73][10680/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.1519 (1.8290)	Prec@1 46.875 (52.116)	Prec@5 75.781 (81.601)
Epoch: [73][10690/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 1.8644 (1.8290)	Prec@1 47.656 (52.116)	Prec@5 83.594 (81.603)
Epoch: [73][10700/14090]	Time 0.845 (0.766)	Data 0.001 (0.001)	Loss 1.4975 (1.8290)	Prec@1 57.031 (52.116)	Prec@5 84.375 (81.603)
Epoch: [73][10710/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 1.8631 (1.8290)	Prec@1 53.125 (52.116)	Prec@5 82.031 (81.603)
Epoch: [73][10720/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 1.6460 (1.8291)	Prec@1 55.469 (52.114)	Prec@5 84.375 (81.602)
Epoch: [73][10730/14090]	Time 0.765 (0.766)	Data 0.001 (0.001)	Loss 1.7042 (1.8290)	Prec@1 54.688 (52.112)	Prec@5 82.812 (81.602)
Epoch: [73][10740/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 1.9325 (1.8291)	Prec@1 46.094 (52.111)	Prec@5 82.031 (81.601)
Epoch: [73][10750/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 1.8591 (1.8291)	Prec@1 51.562 (52.111)	Prec@5 78.906 (81.601)
Epoch: [73][10760/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 1.9274 (1.8292)	Prec@1 47.656 (52.109)	Prec@5 79.688 (81.600)
Epoch: [73][10770/14090]	Time 0.852 (0.766)	Data 0.001 (0.001)	Loss 1.8448 (1.8292)	Prec@1 48.438 (52.108)	Prec@5 84.375 (81.600)
Epoch: [73][10780/14090]	Time 0.767 (0.766)	Data 0.001 (0.001)	Loss 1.9804 (1.8292)	Prec@1 56.250 (52.108)	Prec@5 78.125 (81.601)
Epoch: [73][10790/14090]	Time 0.773 (0.766)	Data 0.001 (0.001)	Loss 1.5347 (1.8292)	Prec@1 57.812 (52.107)	Prec@5 84.375 (81.600)
Epoch: [73][10800/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 1.7610 (1.8292)	Prec@1 48.438 (52.106)	Prec@5 88.281 (81.602)
Epoch: [73][10810/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 1.9503 (1.8292)	Prec@1 50.000 (52.106)	Prec@5 78.906 (81.600)
Epoch: [73][10820/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 1.8253 (1.8293)	Prec@1 50.781 (52.104)	Prec@5 85.156 (81.600)
Epoch: [73][10830/14090]	Time 0.772 (0.766)	Data 0.001 (0.001)	Loss 1.6901 (1.8292)	Prec@1 57.031 (52.107)	Prec@5 86.719 (81.601)
Epoch: [73][10840/14090]	Time 0.815 (0.766)	Data 0.001 (0.001)	Loss 1.7817 (1.8292)	Prec@1 57.812 (52.106)	Prec@5 81.250 (81.600)
Epoch: [73][10850/14090]	Time 0.724 (0.766)	Data 0.001 (0.001)	Loss 1.8250 (1.8292)	Prec@1 48.438 (52.107)	Prec@5 87.500 (81.600)
Epoch: [73][10860/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 1.7461 (1.8293)	Prec@1 53.125 (52.105)	Prec@5 84.375 (81.600)
Epoch: [73][10870/14090]	Time 0.722 (0.766)	Data 0.001 (0.001)	Loss 1.7445 (1.8293)	Prec@1 51.562 (52.105)	Prec@5 84.375 (81.599)
Epoch: [73][10880/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.0511 (1.8294)	Prec@1 45.312 (52.103)	Prec@5 78.125 (81.597)
Epoch: [73][10890/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 1.9352 (1.8295)	Prec@1 47.656 (52.103)	Prec@5 79.688 (81.596)
Epoch: [73][10900/14090]	Time 0.779 (0.766)	Data 0.001 (0.001)	Loss 1.8405 (1.8294)	Prec@1 46.094 (52.102)	Prec@5 81.250 (81.596)
Epoch: [73][10910/14090]	Time 0.837 (0.766)	Data 0.001 (0.001)	Loss 2.0920 (1.8294)	Prec@1 44.531 (52.103)	Prec@5 75.000 (81.597)
Epoch: [73][10920/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 1.5827 (1.8294)	Prec@1 59.375 (52.103)	Prec@5 82.812 (81.596)
Epoch: [73][10930/14090]	Time 0.778 (0.766)	Data 0.001 (0.001)	Loss 1.9078 (1.8295)	Prec@1 46.875 (52.101)	Prec@5 84.375 (81.597)
Epoch: [73][10940/14090]	Time 0.723 (0.766)	Data 0.001 (0.001)	Loss 1.9724 (1.8295)	Prec@1 46.094 (52.102)	Prec@5 80.469 (81.598)
Epoch: [73][10950/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 1.8630 (1.8294)	Prec@1 46.094 (52.102)	Prec@5 83.594 (81.598)
Epoch: [73][10960/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 1.7096 (1.8294)	Prec@1 57.812 (52.105)	Prec@5 83.594 (81.599)
Epoch: [73][10970/14090]	Time 0.768 (0.766)	Data 0.001 (0.001)	Loss 1.8463 (1.8294)	Prec@1 50.781 (52.105)	Prec@5 83.594 (81.600)
Epoch: [73][10980/14090]	Time 0.843 (0.766)	Data 0.001 (0.001)	Loss 1.8746 (1.8293)	Prec@1 46.875 (52.104)	Prec@5 80.469 (81.602)
Epoch: [73][10990/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 1.8171 (1.8293)	Prec@1 48.438 (52.104)	Prec@5 82.812 (81.602)
Epoch: [73][11000/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 1.5246 (1.8293)	Prec@1 58.594 (52.104)	Prec@5 89.062 (81.603)
Epoch: [73][11010/14090]	Time 0.770 (0.766)	Data 0.001 (0.001)	Loss 1.8226 (1.8293)	Prec@1 57.031 (52.103)	Prec@5 80.469 (81.601)
Epoch: [73][11020/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 1.6428 (1.8293)	Prec@1 55.469 (52.103)	Prec@5 82.031 (81.602)
Epoch: [73][11030/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 1.6318 (1.8294)	Prec@1 60.938 (52.101)	Prec@5 83.594 (81.602)
Epoch: [73][11040/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 1.7976 (1.8294)	Prec@1 51.562 (52.100)	Prec@5 80.469 (81.603)
Epoch: [73][11050/14090]	Time 0.873 (0.766)	Data 0.001 (0.001)	Loss 1.8247 (1.8294)	Prec@1 52.344 (52.099)	Prec@5 78.906 (81.602)
Epoch: [73][11060/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 1.8146 (1.8293)	Prec@1 50.781 (52.100)	Prec@5 81.250 (81.603)
Epoch: [73][11070/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 1.7624 (1.8294)	Prec@1 54.688 (52.099)	Prec@5 84.375 (81.601)
Epoch: [73][11080/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 1.9049 (1.8294)	Prec@1 55.469 (52.101)	Prec@5 78.125 (81.601)
Epoch: [73][11090/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 1.7078 (1.8294)	Prec@1 57.812 (52.101)	Prec@5 82.031 (81.601)
Epoch: [73][11100/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.0542 (1.8294)	Prec@1 50.781 (52.100)	Prec@5 79.688 (81.602)
Epoch: [73][11110/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 1.5538 (1.8293)	Prec@1 57.812 (52.103)	Prec@5 84.375 (81.602)
Epoch: [73][11120/14090]	Time 0.887 (0.766)	Data 0.001 (0.001)	Loss 1.7941 (1.8292)	Prec@1 50.000 (52.104)	Prec@5 81.250 (81.604)
Epoch: [73][11130/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 1.8535 (1.8293)	Prec@1 50.000 (52.101)	Prec@5 83.594 (81.602)
Epoch: [73][11140/14090]	Time 0.777 (0.766)	Data 0.001 (0.001)	Loss 1.9724 (1.8293)	Prec@1 50.000 (52.100)	Prec@5 75.781 (81.602)
Epoch: [73][11150/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 1.8317 (1.8293)	Prec@1 52.344 (52.101)	Prec@5 85.156 (81.602)
Epoch: [73][11160/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 1.7655 (1.8293)	Prec@1 57.031 (52.102)	Prec@5 78.125 (81.601)
Epoch: [73][11170/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 1.5725 (1.8294)	Prec@1 57.812 (52.102)	Prec@5 84.375 (81.602)
Epoch: [73][11180/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 1.6975 (1.8294)	Prec@1 52.344 (52.099)	Prec@5 83.594 (81.601)
Epoch: [73][11190/14090]	Time 0.861 (0.766)	Data 0.001 (0.001)	Loss 1.9718 (1.8294)	Prec@1 54.688 (52.100)	Prec@5 83.594 (81.601)
Epoch: [73][11200/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.1059 (1.8295)	Prec@1 45.312 (52.100)	Prec@5 74.219 (81.600)
Epoch: [73][11210/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 1.4983 (1.8294)	Prec@1 64.062 (52.099)	Prec@5 85.156 (81.599)
Epoch: [73][11220/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 1.9763 (1.8294)	Prec@1 53.125 (52.099)	Prec@5 75.781 (81.598)
Epoch: [73][11230/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 2.0853 (1.8294)	Prec@1 47.656 (52.099)	Prec@5 77.344 (81.598)
Epoch: [73][11240/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 1.8281 (1.8295)	Prec@1 49.219 (52.098)	Prec@5 81.250 (81.597)
Epoch: [73][11250/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.0502 (1.8295)	Prec@1 53.125 (52.099)	Prec@5 78.906 (81.596)
Epoch: [73][11260/14090]	Time 0.842 (0.766)	Data 0.001 (0.001)	Loss 1.9200 (1.8296)	Prec@1 47.656 (52.097)	Prec@5 76.562 (81.594)
Epoch: [73][11270/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 1.9930 (1.8296)	Prec@1 49.219 (52.096)	Prec@5 77.344 (81.594)
Epoch: [73][11280/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.4129 (1.8296)	Prec@1 42.188 (52.097)	Prec@5 65.625 (81.593)
Epoch: [73][11290/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 1.6548 (1.8296)	Prec@1 57.031 (52.095)	Prec@5 85.938 (81.593)
Epoch: [73][11300/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 1.6959 (1.8297)	Prec@1 50.781 (52.095)	Prec@5 89.844 (81.592)
Epoch: [73][11310/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 1.4165 (1.8296)	Prec@1 66.406 (52.094)	Prec@5 88.281 (81.592)
Epoch: [73][11320/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 1.8867 (1.8297)	Prec@1 54.688 (52.092)	Prec@5 78.906 (81.590)
Epoch: [73][11330/14090]	Time 0.860 (0.766)	Data 0.001 (0.001)	Loss 1.6361 (1.8297)	Prec@1 63.281 (52.091)	Prec@5 81.250 (81.590)
Epoch: [73][11340/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 1.7374 (1.8297)	Prec@1 55.469 (52.092)	Prec@5 84.375 (81.592)
Epoch: [73][11350/14090]	Time 0.774 (0.766)	Data 0.001 (0.001)	Loss 1.8982 (1.8298)	Prec@1 50.781 (52.092)	Prec@5 82.812 (81.590)
Epoch: [73][11360/14090]	Time 0.775 (0.766)	Data 0.001 (0.001)	Loss 1.9257 (1.8298)	Prec@1 51.562 (52.091)	Prec@5 81.250 (81.591)
Epoch: [73][11370/14090]	Time 0.767 (0.766)	Data 0.001 (0.001)	Loss 2.1587 (1.8297)	Prec@1 48.438 (52.093)	Prec@5 78.125 (81.591)
Epoch: [73][11380/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 1.5695 (1.8297)	Prec@1 57.031 (52.093)	Prec@5 87.500 (81.590)
Epoch: [73][11390/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 1.8567 (1.8298)	Prec@1 50.781 (52.090)	Prec@5 81.250 (81.589)
Epoch: [73][11400/14090]	Time 0.853 (0.766)	Data 0.001 (0.001)	Loss 1.5859 (1.8298)	Prec@1 57.031 (52.090)	Prec@5 85.156 (81.591)
Epoch: [73][11410/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.0484 (1.8298)	Prec@1 50.000 (52.089)	Prec@5 74.219 (81.590)
Epoch: [73][11420/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 1.9072 (1.8298)	Prec@1 50.000 (52.089)	Prec@5 80.469 (81.590)
Epoch: [73][11430/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 1.7383 (1.8297)	Prec@1 54.688 (52.090)	Prec@5 83.594 (81.591)
Epoch: [73][11440/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 1.5514 (1.8297)	Prec@1 55.469 (52.089)	Prec@5 86.719 (81.591)
Epoch: [73][11450/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 1.7407 (1.8297)	Prec@1 56.250 (52.090)	Prec@5 81.250 (81.591)
Epoch: [73][11460/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 1.6779 (1.8297)	Prec@1 52.344 (52.090)	Prec@5 82.812 (81.590)
Epoch: [73][11470/14090]	Time 0.887 (0.766)	Data 0.001 (0.001)	Loss 1.5847 (1.8296)	Prec@1 60.938 (52.090)	Prec@5 83.594 (81.591)
Epoch: [73][11480/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 1.6856 (1.8296)	Prec@1 54.688 (52.090)	Prec@5 81.250 (81.591)
Epoch: [73][11490/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 1.9658 (1.8296)	Prec@1 50.781 (52.090)	Prec@5 76.562 (81.591)
Epoch: [73][11500/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 1.5010 (1.8296)	Prec@1 60.156 (52.092)	Prec@5 86.719 (81.591)
Epoch: [73][11510/14090]	Time 0.772 (0.766)	Data 0.001 (0.001)	Loss 1.8536 (1.8297)	Prec@1 52.344 (52.090)	Prec@5 79.688 (81.591)
Epoch: [73][11520/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.0012 (1.8298)	Prec@1 50.000 (52.088)	Prec@5 76.562 (81.589)
Epoch: [73][11530/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 1.8148 (1.8298)	Prec@1 51.562 (52.087)	Prec@5 80.469 (81.589)
Epoch: [73][11540/14090]	Time 0.842 (0.766)	Data 0.001 (0.001)	Loss 1.8262 (1.8299)	Prec@1 52.344 (52.087)	Prec@5 79.688 (81.588)
Epoch: [73][11550/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 1.4363 (1.8298)	Prec@1 59.375 (52.089)	Prec@5 89.062 (81.590)
Epoch: [73][11560/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 1.8222 (1.8297)	Prec@1 55.469 (52.090)	Prec@5 80.469 (81.591)
Epoch: [73][11570/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 1.8349 (1.8297)	Prec@1 54.688 (52.089)	Prec@5 81.250 (81.591)
Epoch: [73][11580/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.2368 (1.8298)	Prec@1 45.312 (52.087)	Prec@5 75.781 (81.590)
Epoch: [73][11590/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 1.9864 (1.8299)	Prec@1 47.656 (52.085)	Prec@5 81.250 (81.590)
Epoch: [73][11600/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 1.8576 (1.8299)	Prec@1 46.094 (52.084)	Prec@5 82.812 (81.590)
Epoch: [73][11610/14090]	Time 0.865 (0.766)	Data 0.001 (0.001)	Loss 1.5878 (1.8299)	Prec@1 57.031 (52.084)	Prec@5 82.812 (81.589)
Epoch: [73][11620/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 1.9888 (1.8300)	Prec@1 49.219 (52.084)	Prec@5 81.250 (81.589)
Epoch: [73][11630/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 1.5355 (1.8299)	Prec@1 60.938 (52.088)	Prec@5 86.719 (81.590)
Epoch: [73][11640/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.1818 (1.8299)	Prec@1 46.875 (52.087)	Prec@5 74.219 (81.589)
Epoch: [73][11650/14090]	Time 0.768 (0.766)	Data 0.001 (0.001)	Loss 1.6640 (1.8299)	Prec@1 56.250 (52.088)	Prec@5 84.375 (81.588)
Epoch: [73][11660/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 1.5931 (1.8299)	Prec@1 52.344 (52.087)	Prec@5 85.938 (81.588)
Epoch: [73][11670/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 1.7900 (1.8300)	Prec@1 49.219 (52.084)	Prec@5 83.594 (81.587)
Epoch: [73][11680/14090]	Time 0.860 (0.766)	Data 0.001 (0.001)	Loss 1.6643 (1.8301)	Prec@1 54.688 (52.082)	Prec@5 84.375 (81.587)
Epoch: [73][11690/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 1.9111 (1.8301)	Prec@1 49.219 (52.081)	Prec@5 79.688 (81.586)
Epoch: [73][11700/14090]	Time 0.777 (0.766)	Data 0.001 (0.001)	Loss 1.8649 (1.8300)	Prec@1 53.125 (52.082)	Prec@5 83.594 (81.587)
Epoch: [73][11710/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 1.9426 (1.8300)	Prec@1 46.875 (52.082)	Prec@5 80.469 (81.587)
Epoch: [73][11720/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 2.0256 (1.8301)	Prec@1 46.875 (52.080)	Prec@5 77.344 (81.585)
Epoch: [73][11730/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 1.8335 (1.8301)	Prec@1 46.875 (52.080)	Prec@5 82.812 (81.585)
Epoch: [73][11740/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 1.8573 (1.8301)	Prec@1 53.125 (52.080)	Prec@5 78.906 (81.584)
Epoch: [73][11750/14090]	Time 0.842 (0.766)	Data 0.001 (0.001)	Loss 1.8375 (1.8300)	Prec@1 53.125 (52.082)	Prec@5 80.469 (81.584)
Epoch: [73][11760/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 1.4995 (1.8301)	Prec@1 64.062 (52.083)	Prec@5 86.719 (81.584)
Epoch: [73][11770/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 1.7659 (1.8301)	Prec@1 53.125 (52.083)	Prec@5 85.156 (81.584)
Epoch: [73][11780/14090]	Time 0.723 (0.766)	Data 0.001 (0.001)	Loss 1.8753 (1.8300)	Prec@1 52.344 (52.085)	Prec@5 82.031 (81.586)
Epoch: [73][11790/14090]	Time 0.768 (0.766)	Data 0.001 (0.001)	Loss 1.9051 (1.8300)	Prec@1 56.250 (52.085)	Prec@5 75.781 (81.584)
Epoch: [73][11800/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 1.8644 (1.8300)	Prec@1 51.562 (52.086)	Prec@5 79.688 (81.584)
Epoch: [73][11810/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 1.9093 (1.8300)	Prec@1 53.125 (52.087)	Prec@5 78.906 (81.584)
Epoch: [73][11820/14090]	Time 0.898 (0.766)	Data 0.001 (0.001)	Loss 1.9931 (1.8300)	Prec@1 46.094 (52.087)	Prec@5 77.344 (81.584)
Epoch: [73][11830/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 1.7473 (1.8301)	Prec@1 53.906 (52.085)	Prec@5 82.812 (81.583)
Epoch: [73][11840/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 1.3964 (1.8300)	Prec@1 62.500 (52.085)	Prec@5 90.625 (81.584)
Epoch: [73][11850/14090]	Time 0.774 (0.766)	Data 0.001 (0.001)	Loss 1.7351 (1.8300)	Prec@1 52.344 (52.084)	Prec@5 82.812 (81.584)
Epoch: [73][11860/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 1.8497 (1.8300)	Prec@1 49.219 (52.084)	Prec@5 81.250 (81.584)
Epoch: [73][11870/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 1.6668 (1.8300)	Prec@1 50.781 (52.085)	Prec@5 85.938 (81.585)
Epoch: [73][11880/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 1.9366 (1.8299)	Prec@1 52.344 (52.085)	Prec@5 81.250 (81.586)
Epoch: [73][11890/14090]	Time 0.864 (0.766)	Data 0.001 (0.001)	Loss 1.9107 (1.8299)	Prec@1 46.875 (52.084)	Prec@5 80.469 (81.587)
Epoch: [73][11900/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.0769 (1.8300)	Prec@1 46.094 (52.083)	Prec@5 78.125 (81.586)
Epoch: [73][11910/14090]	Time 0.772 (0.766)	Data 0.001 (0.001)	Loss 1.6103 (1.8299)	Prec@1 58.594 (52.084)	Prec@5 85.938 (81.587)
Epoch: [73][11920/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 1.8906 (1.8300)	Prec@1 50.781 (52.085)	Prec@5 81.250 (81.585)
Epoch: [73][11930/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 1.8791 (1.8301)	Prec@1 53.125 (52.084)	Prec@5 79.688 (81.584)
Epoch: [73][11940/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 1.9383 (1.8301)	Prec@1 48.438 (52.083)	Prec@5 82.031 (81.584)
Epoch: [73][11950/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 1.8163 (1.8301)	Prec@1 46.875 (52.083)	Prec@5 82.812 (81.584)
Epoch: [73][11960/14090]	Time 0.864 (0.766)	Data 0.001 (0.001)	Loss 1.7120 (1.8301)	Prec@1 57.031 (52.083)	Prec@5 84.375 (81.584)
Epoch: [73][11970/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 1.6858 (1.8300)	Prec@1 57.031 (52.086)	Prec@5 79.688 (81.585)
Epoch: [73][11980/14090]	Time 0.776 (0.766)	Data 0.001 (0.001)	Loss 1.7398 (1.8300)	Prec@1 58.594 (52.086)	Prec@5 80.469 (81.584)
Epoch: [73][11990/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 1.6881 (1.8301)	Prec@1 54.688 (52.086)	Prec@5 84.375 (81.584)
Epoch: [73][12000/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 1.7748 (1.8301)	Prec@1 53.906 (52.086)	Prec@5 85.156 (81.585)
Epoch: [73][12010/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 1.4749 (1.8300)	Prec@1 56.250 (52.086)	Prec@5 89.062 (81.587)
Epoch: [73][12020/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 1.8406 (1.8300)	Prec@1 53.906 (52.088)	Prec@5 84.375 (81.588)
Epoch: [73][12030/14090]	Time 0.875 (0.766)	Data 0.001 (0.001)	Loss 1.7710 (1.8300)	Prec@1 49.219 (52.087)	Prec@5 85.156 (81.588)
Epoch: [73][12040/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 1.6338 (1.8300)	Prec@1 55.469 (52.087)	Prec@5 85.938 (81.589)
Epoch: [73][12050/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.0245 (1.8300)	Prec@1 46.875 (52.086)	Prec@5 78.906 (81.588)
Epoch: [73][12060/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.0071 (1.8300)	Prec@1 50.781 (52.086)	Prec@5 78.125 (81.588)
Epoch: [73][12070/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 1.7464 (1.8300)	Prec@1 57.812 (52.088)	Prec@5 83.594 (81.588)
Epoch: [73][12080/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 1.9004 (1.8301)	Prec@1 52.344 (52.087)	Prec@5 81.250 (81.587)
Epoch: [73][12090/14090]	Time 0.723 (0.766)	Data 0.001 (0.001)	Loss 2.0299 (1.8301)	Prec@1 42.969 (52.086)	Prec@5 80.469 (81.587)
Epoch: [73][12100/14090]	Time 0.867 (0.766)	Data 0.001 (0.001)	Loss 1.7180 (1.8302)	Prec@1 55.469 (52.085)	Prec@5 81.250 (81.586)
Epoch: [73][12110/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 1.8976 (1.8302)	Prec@1 49.219 (52.085)	Prec@5 82.812 (81.586)
Epoch: [73][12120/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 1.7193 (1.8302)	Prec@1 51.562 (52.084)	Prec@5 86.719 (81.585)
Epoch: [73][12130/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 1.5397 (1.8301)	Prec@1 56.250 (52.086)	Prec@5 90.625 (81.588)
Epoch: [73][12140/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 1.6980 (1.8300)	Prec@1 57.031 (52.088)	Prec@5 82.031 (81.589)
Epoch: [73][12150/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 1.7896 (1.8300)	Prec@1 53.906 (52.090)	Prec@5 85.156 (81.589)
Epoch: [73][12160/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 1.8518 (1.8301)	Prec@1 52.344 (52.089)	Prec@5 82.031 (81.587)
Epoch: [73][12170/14090]	Time 0.852 (0.766)	Data 0.001 (0.001)	Loss 1.9110 (1.8301)	Prec@1 48.438 (52.089)	Prec@5 83.594 (81.586)
Epoch: [73][12180/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 1.9348 (1.8301)	Prec@1 46.094 (52.087)	Prec@5 79.688 (81.585)
Epoch: [73][12190/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 1.7336 (1.8301)	Prec@1 48.438 (52.087)	Prec@5 78.906 (81.585)
Epoch: [73][12200/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 1.8273 (1.8302)	Prec@1 54.688 (52.087)	Prec@5 82.031 (81.584)
Epoch: [73][12210/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 1.8213 (1.8301)	Prec@1 58.594 (52.087)	Prec@5 80.469 (81.584)
Epoch: [73][12220/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.0222 (1.8302)	Prec@1 46.094 (52.087)	Prec@5 75.000 (81.583)
Epoch: [73][12230/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 1.6716 (1.8301)	Prec@1 50.000 (52.088)	Prec@5 82.812 (81.582)
Epoch: [73][12240/14090]	Time 0.860 (0.766)	Data 0.001 (0.001)	Loss 1.7359 (1.8302)	Prec@1 48.438 (52.087)	Prec@5 85.938 (81.582)
Epoch: [73][12250/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 1.8977 (1.8302)	Prec@1 52.344 (52.086)	Prec@5 83.594 (81.581)
Epoch: [73][12260/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 1.9784 (1.8302)	Prec@1 50.000 (52.087)	Prec@5 79.688 (81.581)
Epoch: [73][12270/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 1.8688 (1.8303)	Prec@1 51.562 (52.086)	Prec@5 82.031 (81.580)
Epoch: [73][12280/14090]	Time 0.770 (0.766)	Data 0.001 (0.001)	Loss 1.8345 (1.8302)	Prec@1 52.344 (52.088)	Prec@5 80.469 (81.581)
Epoch: [73][12290/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 1.8980 (1.8302)	Prec@1 46.875 (52.090)	Prec@5 77.344 (81.582)
Epoch: [73][12300/14090]	Time 0.774 (0.766)	Data 0.001 (0.001)	Loss 1.8871 (1.8302)	Prec@1 49.219 (52.089)	Prec@5 81.250 (81.582)
Epoch: [73][12310/14090]	Time 0.832 (0.766)	Data 0.001 (0.001)	Loss 1.7215 (1.8302)	Prec@1 52.344 (52.088)	Prec@5 87.500 (81.582)
Epoch: [73][12320/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 1.6978 (1.8303)	Prec@1 60.938 (52.087)	Prec@5 82.812 (81.580)
Epoch: [73][12330/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 1.9062 (1.8303)	Prec@1 50.781 (52.088)	Prec@5 78.906 (81.579)
Epoch: [73][12340/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 1.6945 (1.8303)	Prec@1 53.906 (52.089)	Prec@5 82.812 (81.579)
Epoch: [73][12350/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 1.9264 (1.8304)	Prec@1 49.219 (52.086)	Prec@5 78.906 (81.577)
Epoch: [73][12360/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 1.7671 (1.8304)	Prec@1 51.562 (52.085)	Prec@5 81.250 (81.577)
Epoch: [73][12370/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.1928 (1.8305)	Prec@1 45.312 (52.083)	Prec@5 71.094 (81.575)
Epoch: [73][12380/14090]	Time 0.875 (0.766)	Data 0.001 (0.001)	Loss 1.7337 (1.8305)	Prec@1 54.688 (52.084)	Prec@5 84.375 (81.576)
Epoch: [73][12390/14090]	Time 0.786 (0.766)	Data 0.001 (0.001)	Loss 1.9719 (1.8305)	Prec@1 50.000 (52.083)	Prec@5 78.125 (81.575)
Epoch: [73][12400/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 1.7362 (1.8305)	Prec@1 50.781 (52.081)	Prec@5 82.031 (81.575)
Epoch: [73][12410/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 1.6717 (1.8305)	Prec@1 54.688 (52.082)	Prec@5 84.375 (81.575)
Epoch: [73][12420/14090]	Time 0.722 (0.766)	Data 0.001 (0.001)	Loss 1.9066 (1.8306)	Prec@1 52.344 (52.080)	Prec@5 82.031 (81.575)
Epoch: [73][12430/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 1.5529 (1.8305)	Prec@1 59.375 (52.081)	Prec@5 82.812 (81.575)
Epoch: [73][12440/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.2822 (1.8306)	Prec@1 48.438 (52.080)	Prec@5 73.438 (81.574)
Epoch: [73][12450/14090]	Time 0.848 (0.766)	Data 0.001 (0.001)	Loss 1.8855 (1.8306)	Prec@1 50.000 (52.080)	Prec@5 78.906 (81.573)
Epoch: [73][12460/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 1.7223 (1.8306)	Prec@1 56.250 (52.081)	Prec@5 82.812 (81.574)
Epoch: [73][12470/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 1.7257 (1.8306)	Prec@1 51.562 (52.079)	Prec@5 84.375 (81.575)
Epoch: [73][12480/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 1.8881 (1.8306)	Prec@1 48.438 (52.079)	Prec@5 75.781 (81.575)
Epoch: [73][12490/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 1.9782 (1.8305)	Prec@1 51.562 (52.081)	Prec@5 78.906 (81.576)
Epoch: [73][12500/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 1.7090 (1.8305)	Prec@1 56.250 (52.083)	Prec@5 82.812 (81.577)
Epoch: [73][12510/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 1.8865 (1.8306)	Prec@1 50.000 (52.081)	Prec@5 80.469 (81.575)
Epoch: [73][12520/14090]	Time 0.899 (0.766)	Data 0.001 (0.001)	Loss 1.6990 (1.8306)	Prec@1 57.031 (52.082)	Prec@5 83.594 (81.575)
Epoch: [73][12530/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 1.8125 (1.8305)	Prec@1 51.562 (52.082)	Prec@5 84.375 (81.575)
Epoch: [73][12540/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 1.8629 (1.8305)	Prec@1 51.562 (52.085)	Prec@5 81.250 (81.575)
Epoch: [73][12550/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.0407 (1.8305)	Prec@1 48.438 (52.086)	Prec@5 75.781 (81.574)
Epoch: [73][12560/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 1.9229 (1.8305)	Prec@1 50.781 (52.087)	Prec@5 78.906 (81.575)
Epoch: [73][12570/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 1.9387 (1.8305)	Prec@1 50.000 (52.087)	Prec@5 77.344 (81.575)
Epoch: [73][12580/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 1.6848 (1.8304)	Prec@1 53.906 (52.087)	Prec@5 81.250 (81.576)
Epoch: [73][12590/14090]	Time 0.912 (0.766)	Data 0.001 (0.001)	Loss 1.6223 (1.8305)	Prec@1 54.688 (52.087)	Prec@5 85.156 (81.574)
Epoch: [73][12600/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 1.7202 (1.8304)	Prec@1 53.125 (52.087)	Prec@5 81.250 (81.575)
Epoch: [73][12610/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 1.6496 (1.8304)	Prec@1 60.938 (52.088)	Prec@5 84.375 (81.575)
Epoch: [73][12620/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 1.7406 (1.8305)	Prec@1 50.781 (52.086)	Prec@5 81.250 (81.573)
Epoch: [73][12630/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.0185 (1.8306)	Prec@1 45.312 (52.085)	Prec@5 77.344 (81.573)
Epoch: [73][12640/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 1.7453 (1.8305)	Prec@1 57.031 (52.086)	Prec@5 77.344 (81.572)
Epoch: [73][12650/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.1191 (1.8306)	Prec@1 50.000 (52.084)	Prec@5 78.906 (81.572)
Epoch: [73][12660/14090]	Time 0.870 (0.766)	Data 0.001 (0.001)	Loss 2.1264 (1.8307)	Prec@1 46.094 (52.084)	Prec@5 77.344 (81.569)
Epoch: [73][12670/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 1.9852 (1.8307)	Prec@1 52.344 (52.084)	Prec@5 76.562 (81.568)
Epoch: [73][12680/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 1.6947 (1.8307)	Prec@1 60.156 (52.084)	Prec@5 83.594 (81.568)
Epoch: [73][12690/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 1.8463 (1.8307)	Prec@1 49.219 (52.083)	Prec@5 83.594 (81.567)
Epoch: [73][12700/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 1.9579 (1.8308)	Prec@1 50.000 (52.079)	Prec@5 80.469 (81.566)
Epoch: [73][12710/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 1.7690 (1.8308)	Prec@1 49.219 (52.078)	Prec@5 82.031 (81.566)
Epoch: [73][12720/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 1.8217 (1.8308)	Prec@1 52.344 (52.078)	Prec@5 84.375 (81.567)
Epoch: [73][12730/14090]	Time 0.873 (0.766)	Data 0.003 (0.001)	Loss 1.9402 (1.8308)	Prec@1 48.438 (52.079)	Prec@5 78.906 (81.566)
Epoch: [73][12740/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 1.9247 (1.8308)	Prec@1 53.125 (52.081)	Prec@5 80.469 (81.568)
Epoch: [73][12750/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 1.8693 (1.8307)	Prec@1 53.906 (52.083)	Prec@5 79.688 (81.568)
Epoch: [73][12760/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 1.8560 (1.8307)	Prec@1 52.344 (52.083)	Prec@5 82.031 (81.567)
Epoch: [73][12770/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.0285 (1.8308)	Prec@1 47.656 (52.083)	Prec@5 80.469 (81.567)
Epoch: [73][12780/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.0784 (1.8308)	Prec@1 46.875 (52.083)	Prec@5 78.906 (81.567)
Epoch: [73][12790/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 1.6291 (1.8308)	Prec@1 57.031 (52.083)	Prec@5 88.281 (81.568)
Epoch: [73][12800/14090]	Time 0.836 (0.766)	Data 0.001 (0.001)	Loss 1.7703 (1.8308)	Prec@1 49.219 (52.083)	Prec@5 83.594 (81.567)
Epoch: [73][12810/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.1778 (1.8308)	Prec@1 43.750 (52.083)	Prec@5 78.906 (81.568)
Epoch: [73][12820/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 1.6852 (1.8307)	Prec@1 51.562 (52.084)	Prec@5 85.938 (81.568)
Epoch: [73][12830/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 1.8666 (1.8307)	Prec@1 48.438 (52.084)	Prec@5 75.781 (81.568)
Epoch: [73][12840/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 1.7876 (1.8307)	Prec@1 54.688 (52.085)	Prec@5 78.906 (81.568)
Epoch: [73][12850/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 1.8502 (1.8307)	Prec@1 53.125 (52.085)	Prec@5 78.906 (81.568)
Epoch: [73][12860/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 1.9149 (1.8307)	Prec@1 48.438 (52.086)	Prec@5 80.469 (81.568)
Epoch: [73][12870/14090]	Time 0.865 (0.766)	Data 0.001 (0.001)	Loss 1.6823 (1.8307)	Prec@1 53.906 (52.086)	Prec@5 82.031 (81.566)
Epoch: [73][12880/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 2.0080 (1.8307)	Prec@1 49.219 (52.086)	Prec@5 77.344 (81.566)
Epoch: [73][12890/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 1.9365 (1.8308)	Prec@1 45.312 (52.085)	Prec@5 75.781 (81.564)
Epoch: [73][12900/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 1.9429 (1.8308)	Prec@1 50.000 (52.084)	Prec@5 80.469 (81.564)
Epoch: [73][12910/14090]	Time 0.781 (0.766)	Data 0.001 (0.001)	Loss 1.8308 (1.8308)	Prec@1 53.125 (52.085)	Prec@5 79.688 (81.564)
Epoch: [73][12920/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 1.8026 (1.8307)	Prec@1 50.000 (52.085)	Prec@5 83.594 (81.565)
Epoch: [73][12930/14090]	Time 0.773 (0.766)	Data 0.001 (0.001)	Loss 1.6623 (1.8307)	Prec@1 53.906 (52.086)	Prec@5 84.375 (81.565)
Epoch: [73][12940/14090]	Time 0.892 (0.766)	Data 0.001 (0.001)	Loss 1.6898 (1.8306)	Prec@1 52.344 (52.088)	Prec@5 85.156 (81.567)
Epoch: [73][12950/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.0829 (1.8306)	Prec@1 46.875 (52.089)	Prec@5 72.656 (81.566)
Epoch: [73][12960/14090]	Time 0.771 (0.766)	Data 0.001 (0.001)	Loss 1.6013 (1.8305)	Prec@1 55.469 (52.090)	Prec@5 85.938 (81.567)
Epoch: [73][12970/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 1.7654 (1.8306)	Prec@1 50.000 (52.089)	Prec@5 81.250 (81.566)
Epoch: [73][12980/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 1.7301 (1.8306)	Prec@1 49.219 (52.088)	Prec@5 80.469 (81.565)
Epoch: [73][12990/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 1.6717 (1.8306)	Prec@1 54.688 (52.087)	Prec@5 83.594 (81.565)
Epoch: [73][13000/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 1.6834 (1.8305)	Prec@1 56.250 (52.089)	Prec@5 82.031 (81.567)
Epoch: [73][13010/14090]	Time 0.869 (0.766)	Data 0.001 (0.001)	Loss 1.7105 (1.8305)	Prec@1 53.906 (52.089)	Prec@5 82.812 (81.567)
Epoch: [73][13020/14090]	Time 0.772 (0.766)	Data 0.001 (0.001)	Loss 1.8038 (1.8306)	Prec@1 54.688 (52.089)	Prec@5 78.906 (81.567)
Epoch: [73][13030/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 1.8868 (1.8305)	Prec@1 50.781 (52.090)	Prec@5 78.906 (81.567)
Epoch: [73][13040/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 1.8771 (1.8305)	Prec@1 53.906 (52.091)	Prec@5 79.688 (81.567)
Epoch: [73][13050/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 1.6205 (1.8305)	Prec@1 55.469 (52.090)	Prec@5 83.594 (81.567)
Epoch: [73][13060/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 1.8358 (1.8306)	Prec@1 55.469 (52.090)	Prec@5 80.469 (81.567)
Epoch: [73][13070/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 1.8652 (1.8305)	Prec@1 57.031 (52.092)	Prec@5 80.469 (81.567)
Epoch: [73][13080/14090]	Time 0.882 (0.766)	Data 0.001 (0.001)	Loss 1.7864 (1.8306)	Prec@1 51.562 (52.091)	Prec@5 84.375 (81.567)
Epoch: [73][13090/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 1.6502 (1.8306)	Prec@1 57.812 (52.090)	Prec@5 83.594 (81.567)
Epoch: [73][13100/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 1.6871 (1.8305)	Prec@1 55.469 (52.091)	Prec@5 83.594 (81.569)
Epoch: [73][13110/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 1.8910 (1.8305)	Prec@1 46.875 (52.091)	Prec@5 80.469 (81.568)
Epoch: [73][13120/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 1.8808 (1.8305)	Prec@1 48.438 (52.092)	Prec@5 82.031 (81.570)
Epoch: [73][13130/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 1.7848 (1.8305)	Prec@1 54.688 (52.093)	Prec@5 81.250 (81.570)
Epoch: [73][13140/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 1.9334 (1.8305)	Prec@1 48.438 (52.094)	Prec@5 78.906 (81.570)
Epoch: [73][13150/14090]	Time 0.851 (0.766)	Data 0.001 (0.001)	Loss 1.5249 (1.8304)	Prec@1 58.594 (52.094)	Prec@5 87.500 (81.570)
Epoch: [73][13160/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 1.9899 (1.8304)	Prec@1 45.312 (52.094)	Prec@5 82.031 (81.571)
Epoch: [73][13170/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 1.6991 (1.8304)	Prec@1 59.375 (52.095)	Prec@5 86.719 (81.571)
Epoch: [73][13180/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 1.8477 (1.8304)	Prec@1 57.812 (52.096)	Prec@5 81.250 (81.569)
Epoch: [73][13190/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 1.9644 (1.8305)	Prec@1 46.875 (52.093)	Prec@5 78.906 (81.568)
Epoch: [73][13200/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 1.8213 (1.8305)	Prec@1 53.906 (52.095)	Prec@5 82.812 (81.568)
Epoch: [73][13210/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 1.5894 (1.8304)	Prec@1 59.375 (52.096)	Prec@5 88.281 (81.569)
Epoch: [73][13220/14090]	Time 0.876 (0.766)	Data 0.001 (0.001)	Loss 1.9856 (1.8305)	Prec@1 45.312 (52.093)	Prec@5 82.031 (81.567)
Epoch: [73][13230/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 1.8738 (1.8305)	Prec@1 48.438 (52.094)	Prec@5 81.250 (81.567)
Epoch: [73][13240/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 1.7212 (1.8306)	Prec@1 49.219 (52.092)	Prec@5 79.688 (81.566)
Epoch: [73][13250/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 1.7512 (1.8306)	Prec@1 50.781 (52.092)	Prec@5 80.469 (81.566)
Epoch: [73][13260/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 1.8519 (1.8306)	Prec@1 51.562 (52.091)	Prec@5 82.031 (81.566)
Epoch: [73][13270/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 1.7182 (1.8305)	Prec@1 51.562 (52.092)	Prec@5 86.719 (81.566)
Epoch: [73][13280/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 1.8549 (1.8306)	Prec@1 54.688 (52.093)	Prec@5 79.688 (81.566)
Epoch: [73][13290/14090]	Time 0.843 (0.766)	Data 0.001 (0.001)	Loss 1.8632 (1.8306)	Prec@1 52.344 (52.091)	Prec@5 78.906 (81.565)
Epoch: [73][13300/14090]	Time 0.720 (0.766)	Data 0.001 (0.001)	Loss 1.9492 (1.8306)	Prec@1 48.438 (52.091)	Prec@5 83.594 (81.566)
Epoch: [73][13310/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 1.8187 (1.8307)	Prec@1 48.438 (52.089)	Prec@5 82.031 (81.566)
Epoch: [73][13320/14090]	Time 0.769 (0.766)	Data 0.001 (0.001)	Loss 1.7054 (1.8307)	Prec@1 52.344 (52.088)	Prec@5 84.375 (81.566)
Epoch: [73][13330/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.0076 (1.8306)	Prec@1 44.531 (52.089)	Prec@5 81.250 (81.568)
Epoch: [73][13340/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 1.7131 (1.8307)	Prec@1 53.906 (52.088)	Prec@5 85.938 (81.569)
Epoch: [73][13350/14090]	Time 0.772 (0.766)	Data 0.001 (0.001)	Loss 1.8375 (1.8307)	Prec@1 49.219 (52.087)	Prec@5 83.594 (81.569)
Epoch: [73][13360/14090]	Time 0.876 (0.766)	Data 0.001 (0.001)	Loss 1.6892 (1.8307)	Prec@1 55.469 (52.086)	Prec@5 82.812 (81.568)
Epoch: [73][13370/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 2.2485 (1.8307)	Prec@1 42.188 (52.085)	Prec@5 75.781 (81.569)
Epoch: [73][13380/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 1.7329 (1.8307)	Prec@1 57.031 (52.084)	Prec@5 83.594 (81.569)
Epoch: [73][13390/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 1.6284 (1.8307)	Prec@1 62.500 (52.085)	Prec@5 85.156 (81.570)
Epoch: [73][13400/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 1.8237 (1.8307)	Prec@1 52.344 (52.085)	Prec@5 83.594 (81.570)
Epoch: [73][13410/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 1.7342 (1.8306)	Prec@1 54.688 (52.085)	Prec@5 82.031 (81.570)
Epoch: [73][13420/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 1.8324 (1.8307)	Prec@1 53.906 (52.084)	Prec@5 84.375 (81.568)
Epoch: [73][13430/14090]	Time 0.893 (0.766)	Data 0.003 (0.001)	Loss 1.7343 (1.8307)	Prec@1 54.688 (52.083)	Prec@5 82.812 (81.568)
Epoch: [73][13440/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 1.6392 (1.8308)	Prec@1 57.812 (52.082)	Prec@5 81.250 (81.567)
Epoch: [73][13450/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 1.9699 (1.8307)	Prec@1 51.562 (52.084)	Prec@5 78.906 (81.567)
Epoch: [73][13460/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 1.6987 (1.8307)	Prec@1 57.812 (52.086)	Prec@5 85.938 (81.567)
Epoch: [73][13470/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 1.9159 (1.8308)	Prec@1 50.000 (52.084)	Prec@5 81.250 (81.565)
Epoch: [73][13480/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 1.9229 (1.8308)	Prec@1 42.969 (52.083)	Prec@5 80.469 (81.565)
Epoch: [73][13490/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 1.8805 (1.8308)	Prec@1 57.812 (52.082)	Prec@5 78.125 (81.564)
Epoch: [73][13500/14090]	Time 0.858 (0.766)	Data 0.001 (0.001)	Loss 1.7341 (1.8308)	Prec@1 50.781 (52.082)	Prec@5 82.031 (81.564)
Epoch: [73][13510/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 1.8433 (1.8308)	Prec@1 47.656 (52.081)	Prec@5 80.469 (81.564)
Epoch: [73][13520/14090]	Time 0.775 (0.766)	Data 0.001 (0.001)	Loss 1.6195 (1.8307)	Prec@1 59.375 (52.083)	Prec@5 83.594 (81.566)
Epoch: [73][13530/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 1.9583 (1.8307)	Prec@1 50.000 (52.082)	Prec@5 78.125 (81.566)
Epoch: [73][13540/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 1.8781 (1.8308)	Prec@1 50.781 (52.082)	Prec@5 83.594 (81.565)
Epoch: [73][13550/14090]	Time 0.720 (0.766)	Data 0.001 (0.001)	Loss 1.7468 (1.8309)	Prec@1 51.562 (52.080)	Prec@5 85.156 (81.564)
Epoch: [73][13560/14090]	Time 0.785 (0.766)	Data 0.001 (0.001)	Loss 2.1910 (1.8309)	Prec@1 45.312 (52.078)	Prec@5 76.562 (81.564)
Epoch: [73][13570/14090]	Time 0.866 (0.766)	Data 0.001 (0.001)	Loss 1.7594 (1.8309)	Prec@1 56.250 (52.081)	Prec@5 78.906 (81.564)
Epoch: [73][13580/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 1.7679 (1.8309)	Prec@1 56.250 (52.081)	Prec@5 79.688 (81.564)
Epoch: [73][13590/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.1752 (1.8308)	Prec@1 47.656 (52.081)	Prec@5 75.781 (81.564)
Epoch: [73][13600/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 1.8542 (1.8309)	Prec@1 53.125 (52.081)	Prec@5 83.594 (81.564)
Epoch: [73][13610/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 1.7495 (1.8309)	Prec@1 54.688 (52.081)	Prec@5 79.688 (81.564)
Epoch: [73][13620/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 1.6506 (1.8309)	Prec@1 60.938 (52.081)	Prec@5 82.812 (81.563)
Epoch: [73][13630/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 1.8773 (1.8310)	Prec@1 50.781 (52.078)	Prec@5 80.469 (81.561)
Epoch: [73][13640/14090]	Time 0.861 (0.766)	Data 0.001 (0.001)	Loss 1.5657 (1.8310)	Prec@1 62.500 (52.078)	Prec@5 87.500 (81.561)
Epoch: [73][13650/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 1.9303 (1.8310)	Prec@1 52.344 (52.078)	Prec@5 82.031 (81.560)
Epoch: [73][13660/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 1.9760 (1.8310)	Prec@1 50.000 (52.077)	Prec@5 75.781 (81.560)
Epoch: [73][13670/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 1.5098 (1.8310)	Prec@1 56.250 (52.076)	Prec@5 92.188 (81.561)
Epoch: [73][13680/14090]	Time 0.800 (0.766)	Data 0.001 (0.001)	Loss 1.9586 (1.8311)	Prec@1 47.656 (52.076)	Prec@5 76.562 (81.560)
Epoch: [73][13690/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 1.8622 (1.8311)	Prec@1 57.031 (52.076)	Prec@5 82.031 (81.560)
Epoch: [73][13700/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 1.6405 (1.8311)	Prec@1 58.594 (52.074)	Prec@5 82.812 (81.560)
Epoch: [73][13710/14090]	Time 0.866 (0.766)	Data 0.001 (0.001)	Loss 1.7432 (1.8311)	Prec@1 54.688 (52.075)	Prec@5 82.812 (81.561)
Epoch: [73][13720/14090]	Time 0.724 (0.766)	Data 0.001 (0.001)	Loss 1.7396 (1.8312)	Prec@1 52.344 (52.073)	Prec@5 80.469 (81.559)
Epoch: [73][13730/14090]	Time 0.768 (0.766)	Data 0.001 (0.001)	Loss 1.9765 (1.8311)	Prec@1 48.438 (52.075)	Prec@5 84.375 (81.560)
Epoch: [73][13740/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 1.7572 (1.8311)	Prec@1 51.562 (52.076)	Prec@5 82.812 (81.562)
Epoch: [73][13750/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 1.9641 (1.8311)	Prec@1 48.438 (52.076)	Prec@5 82.812 (81.562)
Epoch: [73][13760/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 1.6558 (1.8312)	Prec@1 57.031 (52.073)	Prec@5 86.719 (81.561)
Epoch: [73][13770/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 1.7675 (1.8311)	Prec@1 54.688 (52.074)	Prec@5 86.719 (81.562)
Epoch: [73][13780/14090]	Time 0.863 (0.766)	Data 0.001 (0.001)	Loss 1.7672 (1.8311)	Prec@1 52.344 (52.074)	Prec@5 81.250 (81.562)
Epoch: [73][13790/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 1.7706 (1.8310)	Prec@1 55.469 (52.075)	Prec@5 87.500 (81.563)
Epoch: [73][13800/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 1.8355 (1.8310)	Prec@1 46.094 (52.075)	Prec@5 84.375 (81.564)
Epoch: [73][13810/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 1.7398 (1.8310)	Prec@1 54.688 (52.075)	Prec@5 80.469 (81.563)
Epoch: [73][13820/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 1.8537 (1.8310)	Prec@1 50.781 (52.074)	Prec@5 85.156 (81.563)
Epoch: [73][13830/14090]	Time 0.756 (0.766)	Data 0.002 (0.001)	Loss 1.9229 (1.8310)	Prec@1 52.344 (52.076)	Prec@5 80.469 (81.565)
Epoch: [73][13840/14090]	Time 0.734 (0.766)	Data 0.004 (0.001)	Loss 1.7181 (1.8309)	Prec@1 55.469 (52.076)	Prec@5 78.125 (81.566)
Epoch: [73][13850/14090]	Time 0.919 (0.766)	Data 0.001 (0.001)	Loss 1.5563 (1.8309)	Prec@1 58.594 (52.075)	Prec@5 88.281 (81.566)
Epoch: [73][13860/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.1102 (1.8310)	Prec@1 49.219 (52.076)	Prec@5 77.344 (81.565)
Epoch: [73][13870/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 1.8043 (1.8311)	Prec@1 55.469 (52.074)	Prec@5 79.688 (81.563)
Epoch: [73][13880/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 1.7994 (1.8311)	Prec@1 51.562 (52.073)	Prec@5 78.906 (81.562)
Epoch: [73][13890/14090]	Time 0.765 (0.766)	Data 0.001 (0.001)	Loss 2.1475 (1.8312)	Prec@1 44.531 (52.071)	Prec@5 73.438 (81.560)
Epoch: [73][13900/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 1.9183 (1.8312)	Prec@1 45.312 (52.070)	Prec@5 82.031 (81.560)
Epoch: [73][13910/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 2.1753 (1.8312)	Prec@1 48.438 (52.069)	Prec@5 75.781 (81.559)
Epoch: [73][13920/14090]	Time 0.839 (0.766)	Data 0.001 (0.001)	Loss 2.0306 (1.8313)	Prec@1 47.656 (52.068)	Prec@5 81.250 (81.558)
Epoch: [73][13930/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 1.9728 (1.8314)	Prec@1 44.531 (52.065)	Prec@5 79.688 (81.558)
Epoch: [73][13940/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 1.9268 (1.8314)	Prec@1 52.344 (52.065)	Prec@5 78.125 (81.556)
Epoch: [73][13950/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 1.9901 (1.8315)	Prec@1 46.094 (52.064)	Prec@5 82.812 (81.555)
Epoch: [73][13960/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 1.8729 (1.8315)	Prec@1 49.219 (52.063)	Prec@5 77.344 (81.554)
Epoch: [73][13970/14090]	Time 0.724 (0.766)	Data 0.001 (0.001)	Loss 2.0163 (1.8315)	Prec@1 50.781 (52.063)	Prec@5 78.906 (81.553)
Epoch: [73][13980/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 1.9255 (1.8315)	Prec@1 48.438 (52.063)	Prec@5 81.250 (81.553)
Epoch: [73][13990/14090]	Time 0.878 (0.766)	Data 0.001 (0.001)	Loss 1.6236 (1.8315)	Prec@1 54.688 (52.063)	Prec@5 85.156 (81.553)
Epoch: [73][14000/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 1.7462 (1.8315)	Prec@1 53.906 (52.061)	Prec@5 79.688 (81.554)
Epoch: [73][14010/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 1.7363 (1.8315)	Prec@1 50.781 (52.062)	Prec@5 85.938 (81.554)
Epoch: [73][14020/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.1174 (1.8316)	Prec@1 48.438 (52.061)	Prec@5 80.469 (81.554)
Epoch: [73][14030/14090]	Time 0.786 (0.766)	Data 0.001 (0.001)	Loss 1.9639 (1.8316)	Prec@1 45.312 (52.060)	Prec@5 80.469 (81.555)
Epoch: [73][14040/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 1.7659 (1.8316)	Prec@1 57.031 (52.059)	Prec@5 85.156 (81.555)
Epoch: [73][14050/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 1.9930 (1.8317)	Prec@1 53.125 (52.056)	Prec@5 82.812 (81.555)
Epoch: [73][14060/14090]	Time 0.868 (0.766)	Data 0.001 (0.001)	Loss 1.6053 (1.8316)	Prec@1 52.344 (52.056)	Prec@5 85.938 (81.555)
Epoch: [73][14070/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 1.5306 (1.8317)	Prec@1 59.375 (52.056)	Prec@5 86.719 (81.555)
Epoch: [73][14080/14090]	Time 0.742 (0.766)	Data 0.000 (0.001)	Loss 2.0704 (1.8317)	Prec@1 42.969 (52.055)	Prec@5 78.906 (81.554)
Test: [0/286]	Time 4.085 (4.085)	Loss 1.4279 (1.4279)	Prec@1 52.344 (52.344)	Prec@5 94.531 (94.531)
Test: [10/286]	Time 0.236 (0.667)	Loss 1.7936 (1.8073)	Prec@1 50.781 (52.841)	Prec@5 87.500 (84.375)
Test: [20/286]	Time 0.241 (0.500)	Loss 1.5778 (1.7315)	Prec@1 56.250 (53.646)	Prec@5 89.062 (85.379)
Test: [30/286]	Time 0.237 (0.444)	Loss 1.7790 (1.6385)	Prec@1 52.344 (56.552)	Prec@5 85.156 (85.912)
Test: [40/286]	Time 1.094 (0.435)	Loss 1.5598 (1.6526)	Prec@1 51.562 (56.021)	Prec@5 89.844 (85.880)
Test: [50/286]	Time 0.235 (0.416)	Loss 0.4604 (1.6406)	Prec@1 90.625 (56.005)	Prec@5 96.094 (86.091)
Test: [60/286]	Time 0.297 (0.401)	Loss 2.5730 (1.6673)	Prec@1 39.062 (55.661)	Prec@5 67.969 (85.041)
Test: [70/286]	Time 0.235 (0.390)	Loss 1.0324 (1.6424)	Prec@1 75.781 (56.140)	Prec@5 94.531 (85.420)
Test: [80/286]	Time 1.010 (0.393)	Loss 1.6642 (1.6722)	Prec@1 52.344 (55.199)	Prec@5 85.938 (85.156)
Test: [90/286]	Time 0.280 (0.387)	Loss 1.8070 (1.6872)	Prec@1 53.125 (54.936)	Prec@5 86.719 (85.079)
Test: [100/286]	Time 0.317 (0.382)	Loss 2.1781 (1.6987)	Prec@1 28.125 (54.278)	Prec@5 83.594 (85.102)
Test: [110/286]	Time 0.225 (0.377)	Loss 2.3628 (1.7195)	Prec@1 40.625 (53.765)	Prec@5 72.656 (84.889)
Test: [120/286]	Time 0.856 (0.378)	Loss 1.4801 (1.7068)	Prec@1 64.844 (54.236)	Prec@5 82.031 (84.963)
Test: [130/286]	Time 0.331 (0.375)	Loss 0.7966 (1.6959)	Prec@1 75.781 (54.598)	Prec@5 95.312 (85.091)
Test: [140/286]	Time 0.233 (0.372)	Loss 2.0577 (1.6864)	Prec@1 51.562 (54.748)	Prec@5 76.562 (85.140)
Test: [150/286]	Time 0.225 (0.369)	Loss 2.7364 (1.6993)	Prec@1 26.562 (54.305)	Prec@5 76.562 (85.063)
Test: [160/286]	Time 0.977 (0.371)	Loss 2.4878 (1.6965)	Prec@1 31.250 (54.416)	Prec@5 74.219 (85.049)
Test: [170/286]	Time 0.268 (0.369)	Loss 1.8932 (1.6903)	Prec@1 49.219 (54.514)	Prec@5 85.156 (85.161)
Test: [180/286]	Time 0.246 (0.367)	Loss 1.9316 (1.7023)	Prec@1 58.594 (54.295)	Prec@5 80.469 (85.014)
Test: [190/286]	Time 0.235 (0.365)	Loss 2.7639 (1.7194)	Prec@1 18.750 (53.759)	Prec@5 74.219 (84.833)
Test: [200/286]	Time 0.981 (0.367)	Loss 1.7953 (1.7155)	Prec@1 55.469 (53.926)	Prec@5 83.594 (84.838)
Test: [210/286]	Time 0.307 (0.366)	Loss 2.0064 (1.7229)	Prec@1 49.219 (53.721)	Prec@5 84.375 (84.738)
Test: [220/286]	Time 0.244 (0.364)	Loss 2.9717 (1.7312)	Prec@1 20.312 (53.577)	Prec@5 68.750 (84.548)
Test: [230/286]	Time 0.230 (0.362)	Loss 1.1291 (1.7288)	Prec@1 67.969 (53.663)	Prec@5 91.406 (84.554)
Test: [240/286]	Time 1.025 (0.365)	Loss 1.7596 (1.7265)	Prec@1 57.031 (53.786)	Prec@5 86.719 (84.560)
Test: [250/286]	Time 0.259 (0.363)	Loss 1.7527 (1.7182)	Prec@1 50.781 (53.897)	Prec@5 82.812 (84.764)
Test: [260/286]	Time 0.233 (0.362)	Loss 1.7220 (1.7074)	Prec@1 52.344 (54.227)	Prec@5 84.375 (84.914)
Test: [270/286]	Time 0.283 (0.360)	Loss 1.2081 (1.7080)	Prec@1 69.531 (54.212)	Prec@5 90.625 (84.926)
Test: [280/286]	Time 0.968 (0.362)	Loss 1.5808 (1.6930)	Prec@1 61.719 (54.710)	Prec@5 90.625 (85.092)
 * Prec@1 54.792 Prec@5 85.094
Epoch: [74][0/14090]	Time 5.170 (5.170)	Data 4.417 (4.417)	Loss 1.8666 (1.8666)	Prec@1 51.562 (51.562)	Prec@5 81.250 (81.250)
Epoch: [74][10/14090]	Time 0.757 (1.152)	Data 0.001 (0.402)	Loss 1.8190 (1.7776)	Prec@1 51.562 (53.338)	Prec@5 80.469 (82.670)
Epoch: [74][20/14090]	Time 0.756 (0.962)	Data 0.001 (0.211)	Loss 1.7672 (1.8242)	Prec@1 53.906 (52.753)	Prec@5 83.594 (81.994)
Epoch: [74][30/14090]	Time 0.881 (0.898)	Data 0.001 (0.143)	Loss 1.7512 (1.8267)	Prec@1 56.250 (52.218)	Prec@5 85.156 (81.930)
Epoch: [74][40/14090]	Time 0.768 (0.864)	Data 0.001 (0.109)	Loss 1.7993 (1.8227)	Prec@1 55.469 (52.248)	Prec@5 82.031 (81.707)
Epoch: [74][50/14090]	Time 0.761 (0.842)	Data 0.001 (0.087)	Loss 1.5419 (1.8008)	Prec@1 64.062 (52.956)	Prec@5 90.625 (82.200)
Epoch: [74][60/14090]	Time 0.736 (0.829)	Data 0.001 (0.073)	Loss 1.5384 (1.8006)	Prec@1 58.594 (52.792)	Prec@5 88.281 (82.121)
Epoch: [74][70/14090]	Time 0.727 (0.818)	Data 0.001 (0.063)	Loss 1.9591 (1.8008)	Prec@1 49.219 (52.795)	Prec@5 78.125 (81.954)
Epoch: [74][80/14090]	Time 0.744 (0.812)	Data 0.001 (0.055)	Loss 2.0177 (1.8015)	Prec@1 49.219 (52.710)	Prec@5 81.250 (82.060)
Epoch: [74][90/14090]	Time 0.770 (0.808)	Data 0.001 (0.049)	Loss 1.5671 (1.7909)	Prec@1 59.375 (53.099)	Prec@5 85.156 (82.177)
Epoch: [74][100/14090]	Time 0.849 (0.805)	Data 0.001 (0.045)	Loss 1.6554 (1.7899)	Prec@1 51.562 (52.932)	Prec@5 85.156 (82.232)
Epoch: [74][110/14090]	Time 0.757 (0.800)	Data 0.001 (0.041)	Loss 2.0140 (1.7990)	Prec@1 46.875 (52.773)	Prec@5 80.469 (82.059)
Epoch: [74][120/14090]	Time 0.788 (0.797)	Data 0.001 (0.037)	Loss 1.6705 (1.7952)	Prec@1 59.375 (52.918)	Prec@5 86.719 (82.154)
Epoch: [74][130/14090]	Time 0.756 (0.795)	Data 0.001 (0.035)	Loss 1.5584 (1.7876)	Prec@1 56.250 (53.155)	Prec@5 88.281 (82.294)
Epoch: [74][140/14090]	Time 0.764 (0.793)	Data 0.001 (0.032)	Loss 1.9957 (1.7883)	Prec@1 39.844 (53.075)	Prec@5 82.031 (82.319)
Epoch: [74][150/14090]	Time 0.763 (0.792)	Data 0.001 (0.030)	Loss 1.7037 (1.7924)	Prec@1 48.438 (52.965)	Prec@5 85.938 (82.259)
Epoch: [74][160/14090]	Time 0.752 (0.790)	Data 0.001 (0.028)	Loss 1.7977 (1.7950)	Prec@1 52.344 (52.907)	Prec@5 82.031 (82.211)
Epoch: [74][170/14090]	Time 0.866 (0.788)	Data 0.001 (0.027)	Loss 1.6156 (1.7936)	Prec@1 51.562 (52.993)	Prec@5 87.500 (82.283)
Epoch: [74][180/14090]	Time 0.738 (0.787)	Data 0.001 (0.025)	Loss 2.0412 (1.7944)	Prec@1 50.000 (52.991)	Prec@5 78.906 (82.221)
Epoch: [74][190/14090]	Time 0.734 (0.785)	Data 0.001 (0.024)	Loss 1.7243 (1.7978)	Prec@1 57.031 (52.822)	Prec@5 84.375 (82.105)
Epoch: [74][200/14090]	Time 0.755 (0.785)	Data 0.001 (0.023)	Loss 1.9995 (1.7977)	Prec@1 47.656 (52.767)	Prec@5 78.906 (82.136)
Epoch: [74][210/14090]	Time 0.750 (0.783)	Data 0.001 (0.022)	Loss 1.9532 (1.8018)	Prec@1 51.562 (52.695)	Prec@5 82.031 (82.076)
Epoch: [74][220/14090]	Time 0.749 (0.783)	Data 0.001 (0.021)	Loss 1.8258 (1.8026)	Prec@1 51.562 (52.665)	Prec@5 82.031 (82.060)
Epoch: [74][230/14090]	Time 0.747 (0.782)	Data 0.001 (0.020)	Loss 1.7280 (1.7982)	Prec@1 50.000 (52.736)	Prec@5 80.469 (82.136)
Epoch: [74][240/14090]	Time 0.862 (0.782)	Data 0.001 (0.019)	Loss 1.6059 (1.7991)	Prec@1 57.031 (52.742)	Prec@5 85.156 (82.109)
Epoch: [74][250/14090]	Time 0.740 (0.781)	Data 0.001 (0.018)	Loss 2.0119 (1.8030)	Prec@1 48.438 (52.667)	Prec@5 81.250 (82.047)
Epoch: [74][260/14090]	Time 0.755 (0.780)	Data 0.001 (0.018)	Loss 1.8525 (1.8065)	Prec@1 50.000 (52.631)	Prec@5 78.125 (82.010)
Epoch: [74][270/14090]	Time 0.736 (0.780)	Data 0.001 (0.017)	Loss 1.6299 (1.8068)	Prec@1 57.031 (52.704)	Prec@5 87.500 (81.991)
Epoch: [74][280/14090]	Time 0.782 (0.780)	Data 0.001 (0.017)	Loss 2.1595 (1.8087)	Prec@1 42.188 (52.666)	Prec@5 75.781 (81.959)
Epoch: [74][290/14090]	Time 0.760 (0.780)	Data 0.001 (0.016)	Loss 1.8100 (1.8077)	Prec@1 57.031 (52.722)	Prec@5 82.812 (81.964)
Epoch: [74][300/14090]	Time 0.772 (0.779)	Data 0.001 (0.016)	Loss 1.7099 (1.8101)	Prec@1 53.906 (52.671)	Prec@5 84.375 (81.917)
Epoch: [74][310/14090]	Time 0.851 (0.779)	Data 0.001 (0.015)	Loss 1.6962 (1.8110)	Prec@1 59.375 (52.605)	Prec@5 83.594 (81.973)
Epoch: [74][320/14090]	Time 0.735 (0.778)	Data 0.001 (0.015)	Loss 2.0277 (1.8137)	Prec@1 46.094 (52.519)	Prec@5 80.469 (81.936)
Epoch: [74][330/14090]	Time 0.737 (0.777)	Data 0.001 (0.014)	Loss 1.5844 (1.8140)	Prec@1 60.938 (52.528)	Prec@5 84.375 (81.906)
Epoch: [74][340/14090]	Time 0.736 (0.777)	Data 0.001 (0.014)	Loss 1.8782 (1.8138)	Prec@1 50.781 (52.504)	Prec@5 81.250 (81.919)
Epoch: [74][350/14090]	Time 0.737 (0.777)	Data 0.001 (0.013)	Loss 1.8569 (1.8148)	Prec@1 53.125 (52.488)	Prec@5 81.250 (81.918)
Epoch: [74][360/14090]	Time 0.741 (0.776)	Data 0.001 (0.013)	Loss 1.7059 (1.8142)	Prec@1 55.469 (52.513)	Prec@5 83.594 (81.917)
Epoch: [74][370/14090]	Time 0.765 (0.776)	Data 0.001 (0.013)	Loss 1.5747 (1.8143)	Prec@1 58.594 (52.550)	Prec@5 86.719 (81.926)
Epoch: [74][380/14090]	Time 0.878 (0.776)	Data 0.001 (0.012)	Loss 1.8223 (1.8154)	Prec@1 53.906 (52.569)	Prec@5 83.594 (81.884)
Epoch: [74][390/14090]	Time 0.744 (0.775)	Data 0.001 (0.012)	Loss 1.7083 (1.8165)	Prec@1 57.812 (52.550)	Prec@5 81.250 (81.877)
Epoch: [74][400/14090]	Time 0.749 (0.775)	Data 0.001 (0.012)	Loss 2.0460 (1.8169)	Prec@1 46.094 (52.564)	Prec@5 80.469 (81.881)
Epoch: [74][410/14090]	Time 0.757 (0.775)	Data 0.001 (0.012)	Loss 1.9713 (1.8174)	Prec@1 45.312 (52.502)	Prec@5 82.031 (81.885)
Epoch: [74][420/14090]	Time 0.733 (0.775)	Data 0.001 (0.011)	Loss 1.6343 (1.8165)	Prec@1 56.250 (52.500)	Prec@5 83.594 (81.907)
Epoch: [74][430/14090]	Time 0.751 (0.774)	Data 0.001 (0.011)	Loss 1.7054 (1.8197)	Prec@1 53.906 (52.469)	Prec@5 85.938 (81.868)
Epoch: [74][440/14090]	Time 0.751 (0.774)	Data 0.001 (0.011)	Loss 2.0381 (1.8217)	Prec@1 50.000 (52.406)	Prec@5 77.344 (81.819)
Epoch: [74][450/14090]	Time 0.855 (0.774)	Data 0.001 (0.011)	Loss 1.8951 (1.8216)	Prec@1 54.688 (52.434)	Prec@5 84.375 (81.816)
Epoch: [74][460/14090]	Time 0.741 (0.774)	Data 0.001 (0.010)	Loss 1.9684 (1.8206)	Prec@1 44.531 (52.452)	Prec@5 82.031 (81.821)
Epoch: [74][470/14090]	Time 0.743 (0.773)	Data 0.001 (0.010)	Loss 1.8179 (1.8222)	Prec@1 49.219 (52.397)	Prec@5 78.125 (81.776)
Epoch: [74][480/14090]	Time 0.737 (0.773)	Data 0.001 (0.010)	Loss 1.7500 (1.8234)	Prec@1 56.250 (52.373)	Prec@5 85.938 (81.760)
Epoch: [74][490/14090]	Time 0.756 (0.773)	Data 0.001 (0.010)	Loss 2.3135 (1.8243)	Prec@1 42.969 (52.331)	Prec@5 75.781 (81.769)
Epoch: [74][500/14090]	Time 0.738 (0.773)	Data 0.001 (0.010)	Loss 1.5828 (1.8235)	Prec@1 50.781 (52.345)	Prec@5 85.938 (81.769)
Epoch: [74][510/14090]	Time 0.766 (0.773)	Data 0.001 (0.009)	Loss 1.9817 (1.8226)	Prec@1 44.531 (52.358)	Prec@5 81.250 (81.782)
Epoch: [74][520/14090]	Time 0.838 (0.773)	Data 0.001 (0.009)	Loss 1.9703 (1.8228)	Prec@1 48.438 (52.381)	Prec@5 78.125 (81.751)
Epoch: [74][530/14090]	Time 0.752 (0.772)	Data 0.001 (0.009)	Loss 1.7212 (1.8240)	Prec@1 51.562 (52.325)	Prec@5 83.594 (81.705)
Epoch: [74][540/14090]	Time 0.760 (0.772)	Data 0.001 (0.009)	Loss 1.7811 (1.8237)	Prec@1 51.562 (52.324)	Prec@5 86.719 (81.711)
Epoch: [74][550/14090]	Time 0.752 (0.772)	Data 0.001 (0.009)	Loss 2.2745 (1.8240)	Prec@1 46.094 (52.321)	Prec@5 73.438 (81.715)
Epoch: [74][560/14090]	Time 0.734 (0.772)	Data 0.001 (0.009)	Loss 1.9973 (1.8250)	Prec@1 49.219 (52.309)	Prec@5 79.688 (81.679)
Epoch: [74][570/14090]	Time 0.755 (0.772)	Data 0.001 (0.009)	Loss 1.7424 (1.8264)	Prec@1 59.375 (52.290)	Prec@5 80.469 (81.651)
Epoch: [74][580/14090]	Time 0.761 (0.772)	Data 0.001 (0.008)	Loss 1.6839 (1.8256)	Prec@1 57.031 (52.297)	Prec@5 88.281 (81.670)
Epoch: [74][590/14090]	Time 0.846 (0.772)	Data 0.001 (0.008)	Loss 1.5737 (1.8261)	Prec@1 54.688 (52.258)	Prec@5 88.281 (81.660)
Epoch: [74][600/14090]	Time 0.734 (0.771)	Data 0.001 (0.008)	Loss 2.0391 (1.8256)	Prec@1 49.219 (52.254)	Prec@5 78.125 (81.688)
Epoch: [74][610/14090]	Time 0.727 (0.771)	Data 0.001 (0.008)	Loss 1.7661 (1.8250)	Prec@1 55.469 (52.257)	Prec@5 85.938 (81.714)
Epoch: [74][620/14090]	Time 0.742 (0.771)	Data 0.001 (0.008)	Loss 1.8217 (1.8254)	Prec@1 48.438 (52.254)	Prec@5 78.125 (81.702)
Epoch: [74][630/14090]	Time 0.745 (0.771)	Data 0.001 (0.008)	Loss 1.6988 (1.8253)	Prec@1 53.125 (52.252)	Prec@5 85.938 (81.714)
Epoch: [74][640/14090]	Time 0.722 (0.771)	Data 0.001 (0.008)	Loss 1.8433 (1.8257)	Prec@1 55.469 (52.251)	Prec@5 80.469 (81.711)
Epoch: [74][650/14090]	Time 0.767 (0.770)	Data 0.001 (0.008)	Loss 1.9700 (1.8251)	Prec@1 46.875 (52.232)	Prec@5 81.250 (81.710)
Epoch: [74][660/14090]	Time 0.911 (0.770)	Data 0.001 (0.008)	Loss 1.6938 (1.8254)	Prec@1 59.375 (52.211)	Prec@5 79.688 (81.700)
Epoch: [74][670/14090]	Time 0.789 (0.770)	Data 0.001 (0.007)	Loss 2.0251 (1.8259)	Prec@1 54.688 (52.189)	Prec@5 77.344 (81.683)
Epoch: [74][680/14090]	Time 0.770 (0.770)	Data 0.001 (0.007)	Loss 1.6871 (1.8255)	Prec@1 55.469 (52.189)	Prec@5 79.688 (81.705)
Epoch: [74][690/14090]	Time 0.743 (0.770)	Data 0.001 (0.007)	Loss 1.8950 (1.8265)	Prec@1 57.031 (52.183)	Prec@5 80.469 (81.692)
Epoch: [74][700/14090]	Time 0.739 (0.770)	Data 0.001 (0.007)	Loss 1.6769 (1.8261)	Prec@1 53.125 (52.175)	Prec@5 87.500 (81.705)
Epoch: [74][710/14090]	Time 0.738 (0.770)	Data 0.001 (0.007)	Loss 1.8510 (1.8260)	Prec@1 52.344 (52.178)	Prec@5 80.469 (81.702)
Epoch: [74][720/14090]	Time 0.743 (0.770)	Data 0.001 (0.007)	Loss 1.8354 (1.8256)	Prec@1 53.906 (52.200)	Prec@5 82.031 (81.691)
Epoch: [74][730/14090]	Time 0.835 (0.770)	Data 0.001 (0.007)	Loss 1.9591 (1.8258)	Prec@1 46.094 (52.220)	Prec@5 78.906 (81.686)
Epoch: [74][740/14090]	Time 0.747 (0.770)	Data 0.001 (0.007)	Loss 1.7123 (1.8253)	Prec@1 53.906 (52.238)	Prec@5 83.594 (81.703)
Epoch: [74][750/14090]	Time 0.744 (0.769)	Data 0.001 (0.007)	Loss 1.5535 (1.8247)	Prec@1 59.375 (52.248)	Prec@5 85.938 (81.722)
Epoch: [74][760/14090]	Time 0.779 (0.769)	Data 0.001 (0.007)	Loss 1.5711 (1.8228)	Prec@1 56.250 (52.270)	Prec@5 84.375 (81.754)
Epoch: [74][770/14090]	Time 0.763 (0.769)	Data 0.001 (0.007)	Loss 1.8458 (1.8220)	Prec@1 53.125 (52.284)	Prec@5 77.344 (81.759)
Epoch: [74][780/14090]	Time 0.748 (0.769)	Data 0.001 (0.006)	Loss 1.7995 (1.8223)	Prec@1 57.031 (52.296)	Prec@5 82.812 (81.757)
Epoch: [74][790/14090]	Time 0.721 (0.769)	Data 0.001 (0.006)	Loss 1.8294 (1.8226)	Prec@1 52.344 (52.301)	Prec@5 79.688 (81.749)
Epoch: [74][800/14090]	Time 0.881 (0.769)	Data 0.001 (0.006)	Loss 1.8443 (1.8220)	Prec@1 53.906 (52.304)	Prec@5 80.469 (81.748)
Epoch: [74][810/14090]	Time 0.729 (0.769)	Data 0.001 (0.006)	Loss 1.6737 (1.8217)	Prec@1 54.688 (52.312)	Prec@5 85.156 (81.762)
Epoch: [74][820/14090]	Time 0.734 (0.769)	Data 0.001 (0.006)	Loss 1.8937 (1.8210)	Prec@1 48.438 (52.332)	Prec@5 82.812 (81.760)
Epoch: [74][830/14090]	Time 0.725 (0.769)	Data 0.001 (0.006)	Loss 1.8786 (1.8212)	Prec@1 53.125 (52.332)	Prec@5 77.344 (81.738)
Epoch: [74][840/14090]	Time 0.738 (0.769)	Data 0.001 (0.006)	Loss 1.8158 (1.8210)	Prec@1 54.688 (52.335)	Prec@5 78.906 (81.734)
Epoch: [74][850/14090]	Time 0.743 (0.769)	Data 0.001 (0.006)	Loss 1.4756 (1.8202)	Prec@1 61.719 (52.354)	Prec@5 89.062 (81.753)
Epoch: [74][860/14090]	Time 0.760 (0.769)	Data 0.001 (0.006)	Loss 1.9783 (1.8190)	Prec@1 46.094 (52.376)	Prec@5 81.250 (81.777)
Epoch: [74][870/14090]	Time 0.879 (0.769)	Data 0.001 (0.006)	Loss 1.6149 (1.8190)	Prec@1 57.812 (52.368)	Prec@5 84.375 (81.776)
Epoch: [74][880/14090]	Time 0.729 (0.769)	Data 0.001 (0.006)	Loss 1.8103 (1.8182)	Prec@1 51.562 (52.383)	Prec@5 78.906 (81.793)
Epoch: [74][890/14090]	Time 0.792 (0.769)	Data 0.001 (0.006)	Loss 1.9753 (1.8181)	Prec@1 43.750 (52.371)	Prec@5 76.562 (81.794)
Epoch: [74][900/14090]	Time 0.740 (0.769)	Data 0.001 (0.006)	Loss 1.7009 (1.8177)	Prec@1 54.688 (52.372)	Prec@5 86.719 (81.809)
Epoch: [74][910/14090]	Time 0.752 (0.769)	Data 0.001 (0.006)	Loss 1.5550 (1.8172)	Prec@1 60.156 (52.384)	Prec@5 85.938 (81.810)
Epoch: [74][920/14090]	Time 0.771 (0.769)	Data 0.001 (0.006)	Loss 1.7679 (1.8183)	Prec@1 53.906 (52.360)	Prec@5 83.594 (81.798)
Epoch: [74][930/14090]	Time 0.740 (0.768)	Data 0.001 (0.006)	Loss 1.6058 (1.8181)	Prec@1 54.688 (52.370)	Prec@5 85.938 (81.812)
Epoch: [74][940/14090]	Time 0.898 (0.768)	Data 0.001 (0.006)	Loss 1.8906 (1.8175)	Prec@1 56.250 (52.384)	Prec@5 78.125 (81.823)
Epoch: [74][950/14090]	Time 0.774 (0.768)	Data 0.001 (0.005)	Loss 1.6497 (1.8168)	Prec@1 55.469 (52.401)	Prec@5 83.594 (81.828)
Epoch: [74][960/14090]	Time 0.744 (0.768)	Data 0.001 (0.005)	Loss 2.0926 (1.8178)	Prec@1 44.531 (52.386)	Prec@5 78.125 (81.809)
Epoch: [74][970/14090]	Time 0.753 (0.768)	Data 0.001 (0.005)	Loss 2.0323 (1.8192)	Prec@1 50.000 (52.346)	Prec@5 79.688 (81.796)
Epoch: [74][980/14090]	Time 0.790 (0.768)	Data 0.001 (0.005)	Loss 1.8944 (1.8192)	Prec@1 50.781 (52.333)	Prec@5 81.250 (81.810)
Epoch: [74][990/14090]	Time 0.745 (0.768)	Data 0.001 (0.005)	Loss 1.7099 (1.8196)	Prec@1 49.219 (52.327)	Prec@5 86.719 (81.809)
Epoch: [74][1000/14090]	Time 0.742 (0.768)	Data 0.001 (0.005)	Loss 1.7014 (1.8196)	Prec@1 54.688 (52.328)	Prec@5 82.031 (81.799)
Epoch: [74][1010/14090]	Time 0.834 (0.768)	Data 0.001 (0.005)	Loss 1.8978 (1.8196)	Prec@1 52.344 (52.335)	Prec@5 75.000 (81.786)
Epoch: [74][1020/14090]	Time 0.757 (0.768)	Data 0.001 (0.005)	Loss 1.7000 (1.8201)	Prec@1 55.469 (52.324)	Prec@5 82.812 (81.784)
Epoch: [74][1030/14090]	Time 0.751 (0.768)	Data 0.001 (0.005)	Loss 1.8501 (1.8199)	Prec@1 48.438 (52.326)	Prec@5 82.812 (81.783)
Epoch: [74][1040/14090]	Time 0.729 (0.768)	Data 0.001 (0.005)	Loss 1.8340 (1.8194)	Prec@1 55.469 (52.336)	Prec@5 78.125 (81.787)
Epoch: [74][1050/14090]	Time 0.754 (0.768)	Data 0.001 (0.005)	Loss 1.7596 (1.8197)	Prec@1 53.125 (52.348)	Prec@5 83.594 (81.771)
Epoch: [74][1060/14090]	Time 0.761 (0.768)	Data 0.001 (0.005)	Loss 1.7252 (1.8195)	Prec@1 55.469 (52.358)	Prec@5 84.375 (81.774)
Epoch: [74][1070/14090]	Time 0.739 (0.768)	Data 0.001 (0.005)	Loss 1.8591 (1.8193)	Prec@1 50.781 (52.364)	Prec@5 80.469 (81.772)
Epoch: [74][1080/14090]	Time 0.862 (0.768)	Data 0.001 (0.005)	Loss 1.9603 (1.8206)	Prec@1 53.906 (52.352)	Prec@5 79.688 (81.752)
Epoch: [74][1090/14090]	Time 0.719 (0.768)	Data 0.001 (0.005)	Loss 2.0270 (1.8206)	Prec@1 47.656 (52.343)	Prec@5 77.344 (81.758)
Epoch: [74][1100/14090]	Time 0.766 (0.768)	Data 0.001 (0.005)	Loss 1.7207 (1.8206)	Prec@1 53.906 (52.347)	Prec@5 83.594 (81.759)
Epoch: [74][1110/14090]	Time 0.780 (0.768)	Data 0.001 (0.005)	Loss 1.7522 (1.8210)	Prec@1 56.250 (52.341)	Prec@5 79.688 (81.748)
Epoch: [74][1120/14090]	Time 0.742 (0.768)	Data 0.001 (0.005)	Loss 2.0191 (1.8209)	Prec@1 44.531 (52.349)	Prec@5 74.219 (81.752)
Epoch: [74][1130/14090]	Time 0.768 (0.768)	Data 0.001 (0.005)	Loss 1.9319 (1.8209)	Prec@1 46.875 (52.346)	Prec@5 77.344 (81.748)
Epoch: [74][1140/14090]	Time 0.746 (0.768)	Data 0.001 (0.005)	Loss 1.8611 (1.8205)	Prec@1 52.344 (52.348)	Prec@5 81.250 (81.757)
Epoch: [74][1150/14090]	Time 0.856 (0.768)	Data 0.001 (0.005)	Loss 1.6309 (1.8203)	Prec@1 63.281 (52.355)	Prec@5 84.375 (81.759)
Epoch: [74][1160/14090]	Time 0.728 (0.768)	Data 0.001 (0.005)	Loss 1.7074 (1.8195)	Prec@1 57.812 (52.377)	Prec@5 84.375 (81.782)
Epoch: [74][1170/14090]	Time 0.725 (0.768)	Data 0.001 (0.005)	Loss 1.8070 (1.8185)	Prec@1 53.906 (52.405)	Prec@5 81.250 (81.793)
Epoch: [74][1180/14090]	Time 0.754 (0.768)	Data 0.001 (0.005)	Loss 1.6690 (1.8186)	Prec@1 57.812 (52.418)	Prec@5 82.812 (81.792)
Epoch: [74][1190/14090]	Time 0.772 (0.768)	Data 0.001 (0.005)	Loss 1.7133 (1.8187)	Prec@1 56.250 (52.423)	Prec@5 81.250 (81.791)
Epoch: [74][1200/14090]	Time 0.757 (0.768)	Data 0.001 (0.005)	Loss 2.0618 (1.8188)	Prec@1 46.875 (52.421)	Prec@5 73.438 (81.783)
Epoch: [74][1210/14090]	Time 0.754 (0.768)	Data 0.001 (0.004)	Loss 1.5798 (1.8188)	Prec@1 57.812 (52.411)	Prec@5 88.281 (81.782)
Epoch: [74][1220/14090]	Time 0.841 (0.768)	Data 0.001 (0.004)	Loss 1.8050 (1.8187)	Prec@1 53.906 (52.405)	Prec@5 84.375 (81.783)
Epoch: [74][1230/14090]	Time 0.741 (0.768)	Data 0.001 (0.004)	Loss 2.0486 (1.8193)	Prec@1 48.438 (52.393)	Prec@5 76.562 (81.773)
Epoch: [74][1240/14090]	Time 0.744 (0.767)	Data 0.001 (0.004)	Loss 1.8141 (1.8196)	Prec@1 53.906 (52.397)	Prec@5 82.812 (81.763)
Epoch: [74][1250/14090]	Time 0.747 (0.768)	Data 0.001 (0.004)	Loss 1.9696 (1.8202)	Prec@1 54.688 (52.391)	Prec@5 78.125 (81.760)
Epoch: [74][1260/14090]	Time 0.757 (0.768)	Data 0.001 (0.004)	Loss 1.7320 (1.8200)	Prec@1 55.469 (52.397)	Prec@5 80.469 (81.757)
Epoch: [74][1270/14090]	Time 0.754 (0.767)	Data 0.001 (0.004)	Loss 2.0578 (1.8204)	Prec@1 49.219 (52.377)	Prec@5 81.250 (81.747)
Epoch: [74][1280/14090]	Time 0.751 (0.767)	Data 0.001 (0.004)	Loss 1.8749 (1.8203)	Prec@1 53.125 (52.375)	Prec@5 82.812 (81.751)
Epoch: [74][1290/14090]	Time 0.851 (0.767)	Data 0.001 (0.004)	Loss 1.8673 (1.8202)	Prec@1 50.781 (52.376)	Prec@5 81.250 (81.747)
Epoch: [74][1300/14090]	Time 0.736 (0.767)	Data 0.001 (0.004)	Loss 1.7708 (1.8201)	Prec@1 47.656 (52.383)	Prec@5 83.594 (81.752)
Epoch: [74][1310/14090]	Time 0.755 (0.767)	Data 0.001 (0.004)	Loss 1.6557 (1.8200)	Prec@1 58.594 (52.382)	Prec@5 82.812 (81.753)
Epoch: [74][1320/14090]	Time 0.778 (0.767)	Data 0.001 (0.004)	Loss 1.9092 (1.8205)	Prec@1 53.125 (52.383)	Prec@5 79.688 (81.744)
Epoch: [74][1330/14090]	Time 0.769 (0.767)	Data 0.001 (0.004)	Loss 1.8276 (1.8203)	Prec@1 55.469 (52.382)	Prec@5 79.688 (81.752)
Epoch: [74][1340/14090]	Time 0.768 (0.767)	Data 0.001 (0.004)	Loss 1.5726 (1.8205)	Prec@1 60.156 (52.378)	Prec@5 86.719 (81.742)
Epoch: [74][1350/14090]	Time 0.732 (0.767)	Data 0.001 (0.004)	Loss 1.5989 (1.8201)	Prec@1 59.375 (52.400)	Prec@5 83.594 (81.743)
Epoch: [74][1360/14090]	Time 0.888 (0.767)	Data 0.001 (0.004)	Loss 1.8492 (1.8203)	Prec@1 50.000 (52.390)	Prec@5 82.812 (81.751)
Epoch: [74][1370/14090]	Time 0.740 (0.767)	Data 0.001 (0.004)	Loss 1.8695 (1.8212)	Prec@1 54.688 (52.377)	Prec@5 80.469 (81.740)
Epoch: [74][1380/14090]	Time 0.753 (0.767)	Data 0.001 (0.004)	Loss 1.8877 (1.8218)	Prec@1 53.125 (52.355)	Prec@5 80.469 (81.726)
Epoch: [74][1390/14090]	Time 0.755 (0.768)	Data 0.001 (0.004)	Loss 1.8704 (1.8224)	Prec@1 50.000 (52.349)	Prec@5 80.469 (81.720)
Epoch: [74][1400/14090]	Time 0.746 (0.767)	Data 0.001 (0.004)	Loss 1.6405 (1.8224)	Prec@1 60.938 (52.349)	Prec@5 84.375 (81.718)
Epoch: [74][1410/14090]	Time 0.748 (0.767)	Data 0.001 (0.004)	Loss 2.0080 (1.8229)	Prec@1 46.875 (52.335)	Prec@5 77.344 (81.708)
Epoch: [74][1420/14090]	Time 0.736 (0.767)	Data 0.001 (0.004)	Loss 1.7087 (1.8231)	Prec@1 58.594 (52.332)	Prec@5 86.719 (81.701)
Epoch: [74][1430/14090]	Time 0.890 (0.767)	Data 0.001 (0.004)	Loss 2.1310 (1.8236)	Prec@1 53.125 (52.316)	Prec@5 73.438 (81.689)
Epoch: [74][1440/14090]	Time 0.756 (0.767)	Data 0.001 (0.004)	Loss 1.6892 (1.8234)	Prec@1 55.469 (52.322)	Prec@5 81.250 (81.690)
Epoch: [74][1450/14090]	Time 0.761 (0.767)	Data 0.001 (0.004)	Loss 2.0553 (1.8235)	Prec@1 47.656 (52.328)	Prec@5 78.125 (81.684)
Epoch: [74][1460/14090]	Time 0.726 (0.767)	Data 0.001 (0.004)	Loss 1.6550 (1.8236)	Prec@1 53.125 (52.315)	Prec@5 82.812 (81.683)
Epoch: [74][1470/14090]	Time 0.744 (0.767)	Data 0.001 (0.004)	Loss 2.1541 (1.8237)	Prec@1 43.750 (52.312)	Prec@5 77.344 (81.679)
Epoch: [74][1480/14090]	Time 0.733 (0.767)	Data 0.001 (0.004)	Loss 1.8901 (1.8236)	Prec@1 54.688 (52.325)	Prec@5 81.250 (81.675)
Epoch: [74][1490/14090]	Time 0.726 (0.767)	Data 0.001 (0.004)	Loss 1.7602 (1.8238)	Prec@1 50.000 (52.319)	Prec@5 82.812 (81.668)
Epoch: [74][1500/14090]	Time 0.885 (0.767)	Data 0.001 (0.004)	Loss 1.8098 (1.8234)	Prec@1 50.781 (52.317)	Prec@5 83.594 (81.673)
Epoch: [74][1510/14090]	Time 0.737 (0.767)	Data 0.001 (0.004)	Loss 1.9916 (1.8233)	Prec@1 50.000 (52.319)	Prec@5 78.125 (81.679)
Epoch: [74][1520/14090]	Time 0.734 (0.767)	Data 0.001 (0.004)	Loss 2.0410 (1.8229)	Prec@1 46.094 (52.322)	Prec@5 78.125 (81.690)
Epoch: [74][1530/14090]	Time 0.779 (0.767)	Data 0.001 (0.004)	Loss 1.6080 (1.8227)	Prec@1 56.250 (52.319)	Prec@5 87.500 (81.701)
Epoch: [74][1540/14090]	Time 0.740 (0.767)	Data 0.001 (0.004)	Loss 1.7378 (1.8231)	Prec@1 51.562 (52.301)	Prec@5 84.375 (81.699)
Epoch: [74][1550/14090]	Time 0.764 (0.767)	Data 0.001 (0.004)	Loss 1.9483 (1.8236)	Prec@1 50.781 (52.290)	Prec@5 78.125 (81.683)
Epoch: [74][1560/14090]	Time 0.749 (0.767)	Data 0.001 (0.004)	Loss 1.9010 (1.8238)	Prec@1 54.688 (52.281)	Prec@5 82.812 (81.677)
Epoch: [74][1570/14090]	Time 0.891 (0.767)	Data 0.001 (0.004)	Loss 1.6264 (1.8239)	Prec@1 57.812 (52.283)	Prec@5 84.375 (81.676)
Epoch: [74][1580/14090]	Time 0.742 (0.767)	Data 0.001 (0.004)	Loss 1.5673 (1.8239)	Prec@1 57.812 (52.274)	Prec@5 82.812 (81.675)
Epoch: [74][1590/14090]	Time 0.763 (0.767)	Data 0.001 (0.004)	Loss 1.8363 (1.8238)	Prec@1 53.906 (52.270)	Prec@5 80.469 (81.670)
Epoch: [74][1600/14090]	Time 0.730 (0.767)	Data 0.001 (0.004)	Loss 1.7421 (1.8242)	Prec@1 48.438 (52.260)	Prec@5 81.250 (81.656)
Epoch: [74][1610/14090]	Time 0.745 (0.767)	Data 0.001 (0.004)	Loss 2.1022 (1.8238)	Prec@1 47.656 (52.270)	Prec@5 77.344 (81.664)
Epoch: [74][1620/14090]	Time 0.760 (0.767)	Data 0.001 (0.004)	Loss 1.5992 (1.8232)	Prec@1 53.906 (52.277)	Prec@5 88.281 (81.676)
Epoch: [74][1630/14090]	Time 0.739 (0.767)	Data 0.001 (0.004)	Loss 1.7886 (1.8234)	Prec@1 49.219 (52.269)	Prec@5 82.031 (81.681)
Epoch: [74][1640/14090]	Time 0.842 (0.767)	Data 0.001 (0.004)	Loss 1.6921 (1.8235)	Prec@1 60.156 (52.267)	Prec@5 87.500 (81.669)
Epoch: [74][1650/14090]	Time 0.773 (0.767)	Data 0.001 (0.004)	Loss 1.6755 (1.8230)	Prec@1 59.375 (52.276)	Prec@5 82.031 (81.672)
Epoch: [74][1660/14090]	Time 0.780 (0.767)	Data 0.001 (0.003)	Loss 1.7911 (1.8229)	Prec@1 46.875 (52.279)	Prec@5 79.688 (81.670)
Epoch: [74][1670/14090]	Time 0.747 (0.767)	Data 0.001 (0.003)	Loss 1.4908 (1.8227)	Prec@1 57.812 (52.280)	Prec@5 88.281 (81.673)
Epoch: [74][1680/14090]	Time 0.725 (0.767)	Data 0.001 (0.003)	Loss 1.7404 (1.8227)	Prec@1 55.469 (52.283)	Prec@5 85.938 (81.674)
Epoch: [74][1690/14090]	Time 0.760 (0.767)	Data 0.001 (0.003)	Loss 1.5801 (1.8222)	Prec@1 59.375 (52.304)	Prec@5 82.812 (81.677)
Epoch: [74][1700/14090]	Time 0.750 (0.767)	Data 0.001 (0.003)	Loss 1.7021 (1.8225)	Prec@1 53.906 (52.298)	Prec@5 83.594 (81.670)
Epoch: [74][1710/14090]	Time 0.863 (0.767)	Data 0.001 (0.003)	Loss 1.8991 (1.8226)	Prec@1 43.750 (52.289)	Prec@5 83.594 (81.666)
Epoch: [74][1720/14090]	Time 0.755 (0.767)	Data 0.001 (0.003)	Loss 2.0929 (1.8227)	Prec@1 46.094 (52.280)	Prec@5 78.906 (81.663)
Epoch: [74][1730/14090]	Time 0.736 (0.767)	Data 0.001 (0.003)	Loss 1.6217 (1.8229)	Prec@1 53.906 (52.280)	Prec@5 82.031 (81.662)
Epoch: [74][1740/14090]	Time 0.728 (0.767)	Data 0.001 (0.003)	Loss 1.5697 (1.8229)	Prec@1 57.031 (52.272)	Prec@5 84.375 (81.665)
Epoch: [74][1750/14090]	Time 0.769 (0.767)	Data 0.001 (0.003)	Loss 2.0095 (1.8229)	Prec@1 47.656 (52.270)	Prec@5 76.562 (81.669)
Epoch: [74][1760/14090]	Time 0.754 (0.767)	Data 0.001 (0.003)	Loss 1.8346 (1.8226)	Prec@1 52.344 (52.274)	Prec@5 79.688 (81.670)
Epoch: [74][1770/14090]	Time 0.735 (0.767)	Data 0.001 (0.003)	Loss 2.0692 (1.8227)	Prec@1 47.656 (52.275)	Prec@5 77.344 (81.669)
Epoch: [74][1780/14090]	Time 0.911 (0.767)	Data 0.002 (0.003)	Loss 2.0135 (1.8230)	Prec@1 50.781 (52.269)	Prec@5 73.438 (81.663)
Epoch: [74][1790/14090]	Time 0.724 (0.767)	Data 0.001 (0.003)	Loss 1.8229 (1.8232)	Prec@1 58.594 (52.269)	Prec@5 80.469 (81.653)
Epoch: [74][1800/14090]	Time 0.794 (0.767)	Data 0.002 (0.003)	Loss 1.7300 (1.8227)	Prec@1 51.562 (52.283)	Prec@5 82.031 (81.663)
Epoch: [74][1810/14090]	Time 0.787 (0.767)	Data 0.001 (0.003)	Loss 2.0154 (1.8225)	Prec@1 46.094 (52.279)	Prec@5 80.469 (81.675)
Epoch: [74][1820/14090]	Time 0.783 (0.767)	Data 0.001 (0.003)	Loss 1.8944 (1.8225)	Prec@1 45.312 (52.274)	Prec@5 79.688 (81.675)
Epoch: [74][1830/14090]	Time 0.759 (0.767)	Data 0.001 (0.003)	Loss 1.7550 (1.8225)	Prec@1 53.906 (52.277)	Prec@5 82.812 (81.676)
Epoch: [74][1840/14090]	Time 0.784 (0.767)	Data 0.001 (0.003)	Loss 1.8106 (1.8220)	Prec@1 53.906 (52.292)	Prec@5 84.375 (81.685)
Epoch: [74][1850/14090]	Time 0.835 (0.767)	Data 0.001 (0.003)	Loss 1.8855 (1.8220)	Prec@1 53.125 (52.287)	Prec@5 79.688 (81.691)
Epoch: [74][1860/14090]	Time 0.743 (0.767)	Data 0.001 (0.003)	Loss 1.3759 (1.8210)	Prec@1 60.938 (52.306)	Prec@5 84.375 (81.708)
Epoch: [74][1870/14090]	Time 0.734 (0.767)	Data 0.001 (0.003)	Loss 1.8356 (1.8209)	Prec@1 50.000 (52.309)	Prec@5 80.469 (81.706)
Epoch: [74][1880/14090]	Time 0.723 (0.767)	Data 0.001 (0.003)	Loss 1.8165 (1.8213)	Prec@1 51.562 (52.306)	Prec@5 82.812 (81.704)
Epoch: [74][1890/14090]	Time 0.783 (0.767)	Data 0.001 (0.003)	Loss 1.8418 (1.8214)	Prec@1 46.094 (52.301)	Prec@5 85.156 (81.709)
Epoch: [74][1900/14090]	Time 0.761 (0.767)	Data 0.001 (0.003)	Loss 2.0320 (1.8211)	Prec@1 52.344 (52.301)	Prec@5 74.219 (81.714)
Epoch: [74][1910/14090]	Time 0.745 (0.767)	Data 0.001 (0.003)	Loss 1.5727 (1.8209)	Prec@1 51.562 (52.301)	Prec@5 88.281 (81.721)
Epoch: [74][1920/14090]	Time 0.870 (0.767)	Data 0.001 (0.003)	Loss 1.8610 (1.8207)	Prec@1 50.781 (52.302)	Prec@5 83.594 (81.727)
Epoch: [74][1930/14090]	Time 0.743 (0.767)	Data 0.001 (0.003)	Loss 2.0275 (1.8208)	Prec@1 42.969 (52.303)	Prec@5 75.781 (81.722)
Epoch: [74][1940/14090]	Time 0.773 (0.767)	Data 0.001 (0.003)	Loss 1.8642 (1.8210)	Prec@1 48.438 (52.293)	Prec@5 82.812 (81.718)
Epoch: [74][1950/14090]	Time 0.736 (0.767)	Data 0.001 (0.003)	Loss 1.8378 (1.8210)	Prec@1 50.781 (52.288)	Prec@5 81.250 (81.719)
Epoch: [74][1960/14090]	Time 0.738 (0.767)	Data 0.001 (0.003)	Loss 1.8451 (1.8211)	Prec@1 54.688 (52.280)	Prec@5 81.250 (81.724)
Epoch: [74][1970/14090]	Time 0.747 (0.767)	Data 0.001 (0.003)	Loss 1.6928 (1.8214)	Prec@1 56.250 (52.267)	Prec@5 85.156 (81.719)
Epoch: [74][1980/14090]	Time 0.747 (0.767)	Data 0.001 (0.003)	Loss 1.7137 (1.8213)	Prec@1 53.125 (52.272)	Prec@5 85.156 (81.718)
Epoch: [74][1990/14090]	Time 0.875 (0.767)	Data 0.001 (0.003)	Loss 2.0665 (1.8212)	Prec@1 53.906 (52.280)	Prec@5 75.781 (81.720)
Epoch: [74][2000/14090]	Time 0.735 (0.767)	Data 0.001 (0.003)	Loss 1.8725 (1.8212)	Prec@1 42.969 (52.277)	Prec@5 82.031 (81.717)
Epoch: [74][2010/14090]	Time 0.734 (0.767)	Data 0.001 (0.003)	Loss 1.7969 (1.8213)	Prec@1 46.875 (52.276)	Prec@5 82.812 (81.714)
Epoch: [74][2020/14090]	Time 0.778 (0.767)	Data 0.001 (0.003)	Loss 2.1192 (1.8215)	Prec@1 47.656 (52.269)	Prec@5 75.781 (81.708)
Epoch: [74][2030/14090]	Time 0.739 (0.767)	Data 0.001 (0.003)	Loss 1.7758 (1.8214)	Prec@1 53.906 (52.280)	Prec@5 81.250 (81.708)
Epoch: [74][2040/14090]	Time 0.729 (0.767)	Data 0.001 (0.003)	Loss 1.6268 (1.8218)	Prec@1 60.156 (52.272)	Prec@5 86.719 (81.696)
Epoch: [74][2050/14090]	Time 0.742 (0.767)	Data 0.001 (0.003)	Loss 2.0898 (1.8218)	Prec@1 47.656 (52.274)	Prec@5 77.344 (81.695)
Epoch: [74][2060/14090]	Time 0.924 (0.767)	Data 0.001 (0.003)	Loss 1.4160 (1.8216)	Prec@1 63.281 (52.280)	Prec@5 90.625 (81.702)
Epoch: [74][2070/14090]	Time 0.744 (0.767)	Data 0.001 (0.003)	Loss 1.8774 (1.8220)	Prec@1 53.125 (52.269)	Prec@5 78.125 (81.696)
Epoch: [74][2080/14090]	Time 0.762 (0.767)	Data 0.001 (0.003)	Loss 1.7564 (1.8223)	Prec@1 53.125 (52.266)	Prec@5 78.906 (81.686)
Epoch: [74][2090/14090]	Time 0.746 (0.767)	Data 0.001 (0.003)	Loss 1.7104 (1.8224)	Prec@1 56.250 (52.260)	Prec@5 82.031 (81.690)
Epoch: [74][2100/14090]	Time 0.745 (0.767)	Data 0.001 (0.003)	Loss 1.8706 (1.8224)	Prec@1 44.531 (52.259)	Prec@5 82.812 (81.689)
Epoch: [74][2110/14090]	Time 0.721 (0.767)	Data 0.001 (0.003)	Loss 1.8017 (1.8224)	Prec@1 55.469 (52.257)	Prec@5 81.250 (81.692)
Epoch: [74][2120/14090]	Time 0.742 (0.767)	Data 0.001 (0.003)	Loss 1.7110 (1.8221)	Prec@1 60.938 (52.267)	Prec@5 85.938 (81.694)
Epoch: [74][2130/14090]	Time 0.866 (0.767)	Data 0.001 (0.003)	Loss 2.0084 (1.8223)	Prec@1 54.688 (52.272)	Prec@5 78.125 (81.689)
Epoch: [74][2140/14090]	Time 0.743 (0.767)	Data 0.001 (0.003)	Loss 1.7678 (1.8222)	Prec@1 56.250 (52.276)	Prec@5 81.250 (81.684)
Epoch: [74][2150/14090]	Time 0.747 (0.767)	Data 0.001 (0.003)	Loss 1.6125 (1.8219)	Prec@1 58.594 (52.278)	Prec@5 85.156 (81.687)
Epoch: [74][2160/14090]	Time 0.747 (0.767)	Data 0.001 (0.003)	Loss 1.5880 (1.8219)	Prec@1 58.594 (52.277)	Prec@5 85.938 (81.686)
Epoch: [74][2170/14090]	Time 0.739 (0.767)	Data 0.001 (0.003)	Loss 1.5686 (1.8217)	Prec@1 60.156 (52.291)	Prec@5 85.156 (81.687)
Epoch: [74][2180/14090]	Time 0.755 (0.767)	Data 0.001 (0.003)	Loss 1.5402 (1.8219)	Prec@1 58.594 (52.290)	Prec@5 87.500 (81.684)
Epoch: [74][2190/14090]	Time 0.743 (0.767)	Data 0.001 (0.003)	Loss 1.7597 (1.8219)	Prec@1 53.906 (52.287)	Prec@5 80.469 (81.686)
Epoch: [74][2200/14090]	Time 0.861 (0.767)	Data 0.001 (0.003)	Loss 1.9829 (1.8215)	Prec@1 42.188 (52.296)	Prec@5 79.688 (81.695)
Epoch: [74][2210/14090]	Time 0.759 (0.767)	Data 0.001 (0.003)	Loss 1.6592 (1.8218)	Prec@1 53.125 (52.291)	Prec@5 83.594 (81.688)
Epoch: [74][2220/14090]	Time 0.777 (0.767)	Data 0.001 (0.003)	Loss 1.7772 (1.8218)	Prec@1 55.469 (52.289)	Prec@5 78.906 (81.691)
Epoch: [74][2230/14090]	Time 0.762 (0.767)	Data 0.001 (0.003)	Loss 1.6069 (1.8217)	Prec@1 55.469 (52.288)	Prec@5 85.156 (81.698)
Epoch: [74][2240/14090]	Time 0.757 (0.767)	Data 0.001 (0.003)	Loss 1.6274 (1.8218)	Prec@1 59.375 (52.291)	Prec@5 83.594 (81.697)
Epoch: [74][2250/14090]	Time 0.756 (0.767)	Data 0.001 (0.003)	Loss 1.6543 (1.8215)	Prec@1 54.688 (52.301)	Prec@5 85.938 (81.705)
Epoch: [74][2260/14090]	Time 0.737 (0.767)	Data 0.001 (0.003)	Loss 1.9064 (1.8215)	Prec@1 48.438 (52.302)	Prec@5 80.469 (81.705)
Epoch: [74][2270/14090]	Time 0.859 (0.767)	Data 0.001 (0.003)	Loss 1.6522 (1.8213)	Prec@1 53.125 (52.304)	Prec@5 85.938 (81.706)
Epoch: [74][2280/14090]	Time 0.744 (0.767)	Data 0.001 (0.003)	Loss 1.9755 (1.8214)	Prec@1 46.875 (52.304)	Prec@5 81.250 (81.706)
Epoch: [74][2290/14090]	Time 0.779 (0.767)	Data 0.001 (0.003)	Loss 1.4820 (1.8212)	Prec@1 58.594 (52.303)	Prec@5 87.500 (81.706)
Epoch: [74][2300/14090]	Time 0.753 (0.767)	Data 0.001 (0.003)	Loss 1.7709 (1.8212)	Prec@1 56.250 (52.305)	Prec@5 82.031 (81.705)
Epoch: [74][2310/14090]	Time 0.767 (0.767)	Data 0.001 (0.003)	Loss 1.8277 (1.8211)	Prec@1 53.906 (52.305)	Prec@5 82.031 (81.709)
Epoch: [74][2320/14090]	Time 0.748 (0.767)	Data 0.001 (0.003)	Loss 2.0994 (1.8219)	Prec@1 49.219 (52.291)	Prec@5 78.906 (81.700)
Epoch: [74][2330/14090]	Time 0.758 (0.767)	Data 0.001 (0.003)	Loss 1.7864 (1.8221)	Prec@1 50.781 (52.283)	Prec@5 82.812 (81.697)
Epoch: [74][2340/14090]	Time 0.877 (0.767)	Data 0.001 (0.003)	Loss 1.5559 (1.8226)	Prec@1 64.844 (52.282)	Prec@5 86.719 (81.694)
Epoch: [74][2350/14090]	Time 0.738 (0.767)	Data 0.003 (0.003)	Loss 1.6899 (1.8227)	Prec@1 55.469 (52.274)	Prec@5 78.906 (81.693)
Epoch: [74][2360/14090]	Time 0.731 (0.767)	Data 0.001 (0.003)	Loss 2.1393 (1.8230)	Prec@1 43.750 (52.268)	Prec@5 77.344 (81.688)
Epoch: [74][2370/14090]	Time 0.765 (0.767)	Data 0.001 (0.003)	Loss 2.0029 (1.8233)	Prec@1 50.781 (52.263)	Prec@5 80.469 (81.681)
Epoch: [74][2380/14090]	Time 0.733 (0.767)	Data 0.001 (0.003)	Loss 1.8228 (1.8233)	Prec@1 56.250 (52.262)	Prec@5 82.812 (81.681)
Epoch: [74][2390/14090]	Time 0.746 (0.767)	Data 0.001 (0.003)	Loss 1.8318 (1.8233)	Prec@1 50.781 (52.264)	Prec@5 83.594 (81.677)
Epoch: [74][2400/14090]	Time 0.752 (0.767)	Data 0.001 (0.003)	Loss 1.6101 (1.8232)	Prec@1 55.469 (52.269)	Prec@5 87.500 (81.679)
Epoch: [74][2410/14090]	Time 0.880 (0.767)	Data 0.001 (0.003)	Loss 1.5870 (1.8232)	Prec@1 60.156 (52.277)	Prec@5 86.719 (81.680)
Epoch: [74][2420/14090]	Time 0.748 (0.767)	Data 0.001 (0.003)	Loss 2.4202 (1.8236)	Prec@1 39.844 (52.268)	Prec@5 71.875 (81.676)
Epoch: [74][2430/14090]	Time 0.781 (0.767)	Data 0.001 (0.003)	Loss 2.0407 (1.8235)	Prec@1 49.219 (52.272)	Prec@5 77.344 (81.681)
Epoch: [74][2440/14090]	Time 0.747 (0.767)	Data 0.001 (0.003)	Loss 1.7404 (1.8235)	Prec@1 50.000 (52.277)	Prec@5 85.156 (81.680)
Epoch: [74][2450/14090]	Time 0.737 (0.767)	Data 0.001 (0.003)	Loss 1.7038 (1.8236)	Prec@1 58.594 (52.276)	Prec@5 82.031 (81.677)
Epoch: [74][2460/14090]	Time 0.753 (0.767)	Data 0.001 (0.003)	Loss 1.7186 (1.8237)	Prec@1 54.688 (52.266)	Prec@5 86.719 (81.679)
Epoch: [74][2470/14090]	Time 0.723 (0.767)	Data 0.001 (0.003)	Loss 1.7518 (1.8235)	Prec@1 53.125 (52.268)	Prec@5 83.594 (81.683)
Epoch: [74][2480/14090]	Time 0.859 (0.767)	Data 0.001 (0.003)	Loss 1.8700 (1.8235)	Prec@1 50.781 (52.271)	Prec@5 83.594 (81.685)
Epoch: [74][2490/14090]	Time 0.749 (0.767)	Data 0.001 (0.003)	Loss 2.0645 (1.8235)	Prec@1 49.219 (52.274)	Prec@5 75.000 (81.682)
Epoch: [74][2500/14090]	Time 0.753 (0.767)	Data 0.001 (0.003)	Loss 1.5922 (1.8234)	Prec@1 53.125 (52.278)	Prec@5 86.719 (81.689)
Epoch: [74][2510/14090]	Time 0.735 (0.767)	Data 0.001 (0.003)	Loss 2.1188 (1.8235)	Prec@1 43.750 (52.277)	Prec@5 74.219 (81.686)
Epoch: [74][2520/14090]	Time 0.749 (0.767)	Data 0.001 (0.003)	Loss 2.0315 (1.8234)	Prec@1 48.438 (52.274)	Prec@5 78.125 (81.690)
Epoch: [74][2530/14090]	Time 0.740 (0.767)	Data 0.001 (0.003)	Loss 1.8772 (1.8231)	Prec@1 57.812 (52.282)	Prec@5 78.125 (81.689)
Epoch: [74][2540/14090]	Time 0.746 (0.767)	Data 0.001 (0.003)	Loss 1.8040 (1.8233)	Prec@1 58.594 (52.279)	Prec@5 81.250 (81.682)
Epoch: [74][2550/14090]	Time 0.849 (0.767)	Data 0.001 (0.003)	Loss 1.9245 (1.8233)	Prec@1 57.031 (52.291)	Prec@5 80.469 (81.682)
Epoch: [74][2560/14090]	Time 0.742 (0.767)	Data 0.001 (0.003)	Loss 1.7712 (1.8233)	Prec@1 53.125 (52.291)	Prec@5 81.250 (81.683)
Epoch: [74][2570/14090]	Time 0.803 (0.767)	Data 0.001 (0.003)	Loss 1.6929 (1.8233)	Prec@1 53.125 (52.291)	Prec@5 84.375 (81.687)
Epoch: [74][2580/14090]	Time 0.758 (0.767)	Data 0.001 (0.003)	Loss 1.9104 (1.8233)	Prec@1 50.781 (52.297)	Prec@5 78.125 (81.686)
Epoch: [74][2590/14090]	Time 0.784 (0.767)	Data 0.001 (0.003)	Loss 2.0152 (1.8234)	Prec@1 42.188 (52.292)	Prec@5 82.031 (81.683)
Epoch: [74][2600/14090]	Time 0.737 (0.767)	Data 0.001 (0.003)	Loss 1.5847 (1.8232)	Prec@1 60.938 (52.302)	Prec@5 85.938 (81.686)
Epoch: [74][2610/14090]	Time 0.752 (0.767)	Data 0.001 (0.003)	Loss 1.8579 (1.8234)	Prec@1 52.344 (52.300)	Prec@5 79.688 (81.683)
Epoch: [74][2620/14090]	Time 0.866 (0.767)	Data 0.001 (0.003)	Loss 2.0486 (1.8237)	Prec@1 46.875 (52.292)	Prec@5 74.219 (81.676)
Epoch: [74][2630/14090]	Time 0.734 (0.767)	Data 0.001 (0.003)	Loss 1.7642 (1.8238)	Prec@1 51.562 (52.288)	Prec@5 85.156 (81.671)
Epoch: [74][2640/14090]	Time 0.740 (0.767)	Data 0.001 (0.003)	Loss 1.6622 (1.8236)	Prec@1 56.250 (52.297)	Prec@5 86.719 (81.673)
Epoch: [74][2650/14090]	Time 0.757 (0.767)	Data 0.001 (0.003)	Loss 1.9153 (1.8235)	Prec@1 53.125 (52.305)	Prec@5 81.250 (81.669)
Epoch: [74][2660/14090]	Time 0.763 (0.767)	Data 0.001 (0.002)	Loss 1.8080 (1.8231)	Prec@1 46.875 (52.314)	Prec@5 82.812 (81.675)
Epoch: [74][2670/14090]	Time 0.724 (0.767)	Data 0.001 (0.002)	Loss 1.7399 (1.8232)	Prec@1 53.906 (52.309)	Prec@5 81.250 (81.671)
Epoch: [74][2680/14090]	Time 0.757 (0.767)	Data 0.001 (0.002)	Loss 1.8365 (1.8230)	Prec@1 51.562 (52.316)	Prec@5 79.688 (81.675)
Epoch: [74][2690/14090]	Time 0.873 (0.767)	Data 0.001 (0.002)	Loss 2.0550 (1.8231)	Prec@1 50.000 (52.314)	Prec@5 78.125 (81.674)
Epoch: [74][2700/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 1.9367 (1.8233)	Prec@1 46.094 (52.304)	Prec@5 77.344 (81.674)
Epoch: [74][2710/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 1.8172 (1.8237)	Prec@1 53.906 (52.294)	Prec@5 83.594 (81.668)
Epoch: [74][2720/14090]	Time 0.728 (0.766)	Data 0.001 (0.002)	Loss 1.8386 (1.8238)	Prec@1 49.219 (52.293)	Prec@5 81.250 (81.665)
Epoch: [74][2730/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 1.7279 (1.8235)	Prec@1 51.562 (52.291)	Prec@5 84.375 (81.668)
Epoch: [74][2740/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 1.8116 (1.8235)	Prec@1 53.125 (52.290)	Prec@5 83.594 (81.670)
Epoch: [74][2750/14090]	Time 0.771 (0.766)	Data 0.001 (0.002)	Loss 2.0237 (1.8233)	Prec@1 55.469 (52.296)	Prec@5 81.250 (81.675)
Epoch: [74][2760/14090]	Time 0.834 (0.766)	Data 0.001 (0.002)	Loss 1.6909 (1.8231)	Prec@1 54.688 (52.299)	Prec@5 85.938 (81.684)
Epoch: [74][2770/14090]	Time 0.767 (0.766)	Data 0.001 (0.002)	Loss 1.8914 (1.8231)	Prec@1 47.656 (52.298)	Prec@5 81.250 (81.684)
Epoch: [74][2780/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 1.7749 (1.8232)	Prec@1 53.906 (52.298)	Prec@5 85.156 (81.683)
Epoch: [74][2790/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 1.7774 (1.8233)	Prec@1 53.906 (52.299)	Prec@5 82.812 (81.679)
Epoch: [74][2800/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.0589 (1.8233)	Prec@1 43.750 (52.303)	Prec@5 81.250 (81.681)
Epoch: [74][2810/14090]	Time 0.776 (0.766)	Data 0.001 (0.002)	Loss 1.7717 (1.8231)	Prec@1 49.219 (52.310)	Prec@5 78.125 (81.686)
Epoch: [74][2820/14090]	Time 0.766 (0.766)	Data 0.001 (0.002)	Loss 1.9923 (1.8233)	Prec@1 49.219 (52.303)	Prec@5 77.344 (81.681)
Epoch: [74][2830/14090]	Time 0.897 (0.767)	Data 0.001 (0.002)	Loss 1.4881 (1.8230)	Prec@1 58.594 (52.307)	Prec@5 90.625 (81.688)
Epoch: [74][2840/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 1.5749 (1.8229)	Prec@1 55.469 (52.307)	Prec@5 85.938 (81.693)
Epoch: [74][2850/14090]	Time 0.766 (0.766)	Data 0.001 (0.002)	Loss 1.6068 (1.8228)	Prec@1 55.469 (52.307)	Prec@5 87.500 (81.694)
Epoch: [74][2860/14090]	Time 0.725 (0.766)	Data 0.001 (0.002)	Loss 2.0245 (1.8231)	Prec@1 50.000 (52.309)	Prec@5 75.781 (81.694)
Epoch: [74][2870/14090]	Time 0.790 (0.766)	Data 0.001 (0.002)	Loss 1.9267 (1.8233)	Prec@1 48.438 (52.300)	Prec@5 80.469 (81.686)
Epoch: [74][2880/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 1.6845 (1.8235)	Prec@1 55.469 (52.296)	Prec@5 89.844 (81.685)
Epoch: [74][2890/14090]	Time 0.727 (0.766)	Data 0.001 (0.002)	Loss 1.6354 (1.8235)	Prec@1 47.656 (52.293)	Prec@5 85.156 (81.686)
Epoch: [74][2900/14090]	Time 0.869 (0.766)	Data 0.001 (0.002)	Loss 1.6951 (1.8236)	Prec@1 56.250 (52.297)	Prec@5 83.594 (81.683)
Epoch: [74][2910/14090]	Time 0.725 (0.766)	Data 0.001 (0.002)	Loss 2.1770 (1.8237)	Prec@1 42.969 (52.290)	Prec@5 75.781 (81.678)
Epoch: [74][2920/14090]	Time 0.790 (0.766)	Data 0.001 (0.002)	Loss 1.6830 (1.8238)	Prec@1 59.375 (52.286)	Prec@5 84.375 (81.681)
Epoch: [74][2930/14090]	Time 0.760 (0.767)	Data 0.001 (0.002)	Loss 1.9860 (1.8238)	Prec@1 46.875 (52.285)	Prec@5 78.125 (81.682)
Epoch: [74][2940/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 1.7745 (1.8238)	Prec@1 56.250 (52.284)	Prec@5 78.906 (81.681)
Epoch: [74][2950/14090]	Time 0.765 (0.767)	Data 0.001 (0.002)	Loss 1.6654 (1.8237)	Prec@1 54.688 (52.280)	Prec@5 83.594 (81.682)
Epoch: [74][2960/14090]	Time 0.723 (0.766)	Data 0.001 (0.002)	Loss 1.5406 (1.8236)	Prec@1 59.375 (52.288)	Prec@5 83.594 (81.686)
Epoch: [74][2970/14090]	Time 0.844 (0.766)	Data 0.001 (0.002)	Loss 1.7506 (1.8238)	Prec@1 57.031 (52.289)	Prec@5 80.469 (81.682)
Epoch: [74][2980/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 1.8753 (1.8239)	Prec@1 53.906 (52.285)	Prec@5 82.031 (81.682)
Epoch: [74][2990/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 1.9343 (1.8240)	Prec@1 48.438 (52.279)	Prec@5 83.594 (81.682)
Epoch: [74][3000/14090]	Time 0.738 (0.766)	Data 0.001 (0.002)	Loss 1.8205 (1.8241)	Prec@1 49.219 (52.275)	Prec@5 85.156 (81.682)
Epoch: [74][3010/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 2.0796 (1.8239)	Prec@1 45.312 (52.274)	Prec@5 75.000 (81.684)
Epoch: [74][3020/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 2.0387 (1.8241)	Prec@1 51.562 (52.267)	Prec@5 75.000 (81.679)
Epoch: [74][3030/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 1.9227 (1.8242)	Prec@1 50.000 (52.264)	Prec@5 81.250 (81.679)
Epoch: [74][3040/14090]	Time 0.867 (0.766)	Data 0.001 (0.002)	Loss 1.8505 (1.8243)	Prec@1 52.344 (52.266)	Prec@5 82.031 (81.679)
Epoch: [74][3050/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 2.0968 (1.8244)	Prec@1 44.531 (52.265)	Prec@5 80.469 (81.678)
Epoch: [74][3060/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 2.1206 (1.8247)	Prec@1 48.438 (52.258)	Prec@5 76.562 (81.670)
Epoch: [74][3070/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 1.7644 (1.8248)	Prec@1 54.688 (52.253)	Prec@5 81.250 (81.669)
Epoch: [74][3080/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 1.5799 (1.8244)	Prec@1 53.906 (52.261)	Prec@5 88.281 (81.679)
Epoch: [74][3090/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 1.8537 (1.8245)	Prec@1 49.219 (52.254)	Prec@5 78.125 (81.677)
Epoch: [74][3100/14090]	Time 0.776 (0.766)	Data 0.001 (0.002)	Loss 2.1108 (1.8244)	Prec@1 43.750 (52.251)	Prec@5 76.562 (81.679)
Epoch: [74][3110/14090]	Time 0.832 (0.766)	Data 0.001 (0.002)	Loss 1.6466 (1.8244)	Prec@1 57.031 (52.249)	Prec@5 78.906 (81.677)
Epoch: [74][3120/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 1.4312 (1.8243)	Prec@1 62.500 (52.246)	Prec@5 87.500 (81.677)
Epoch: [74][3130/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 1.9524 (1.8247)	Prec@1 56.250 (52.244)	Prec@5 80.469 (81.672)
Epoch: [74][3140/14090]	Time 0.763 (0.766)	Data 0.001 (0.002)	Loss 1.4484 (1.8245)	Prec@1 64.062 (52.252)	Prec@5 89.844 (81.677)
Epoch: [74][3150/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 1.7008 (1.8243)	Prec@1 50.781 (52.258)	Prec@5 82.812 (81.679)
Epoch: [74][3160/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 1.9486 (1.8245)	Prec@1 53.906 (52.256)	Prec@5 78.906 (81.677)
Epoch: [74][3170/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 2.0069 (1.8248)	Prec@1 53.125 (52.254)	Prec@5 76.562 (81.671)
Epoch: [74][3180/14090]	Time 0.847 (0.766)	Data 0.001 (0.002)	Loss 1.6414 (1.8248)	Prec@1 56.250 (52.250)	Prec@5 81.250 (81.669)
Epoch: [74][3190/14090]	Time 0.767 (0.766)	Data 0.001 (0.002)	Loss 1.5224 (1.8243)	Prec@1 57.031 (52.258)	Prec@5 87.500 (81.682)
Epoch: [74][3200/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 1.7962 (1.8243)	Prec@1 43.750 (52.253)	Prec@5 82.031 (81.682)
Epoch: [74][3210/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 1.8910 (1.8244)	Prec@1 50.781 (52.258)	Prec@5 80.469 (81.679)
Epoch: [74][3220/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 1.9121 (1.8243)	Prec@1 48.438 (52.268)	Prec@5 78.906 (81.681)
Epoch: [74][3230/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 1.8363 (1.8244)	Prec@1 46.094 (52.263)	Prec@5 81.250 (81.678)
Epoch: [74][3240/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 1.4966 (1.8245)	Prec@1 61.719 (52.264)	Prec@5 86.719 (81.673)
Epoch: [74][3250/14090]	Time 0.842 (0.766)	Data 0.001 (0.002)	Loss 1.8317 (1.8246)	Prec@1 51.562 (52.262)	Prec@5 83.594 (81.671)
Epoch: [74][3260/14090]	Time 0.753 (0.766)	Data 0.001 (0.002)	Loss 1.9432 (1.8247)	Prec@1 49.219 (52.261)	Prec@5 76.562 (81.668)
Epoch: [74][3270/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 1.8625 (1.8250)	Prec@1 51.562 (52.256)	Prec@5 82.812 (81.664)
Epoch: [74][3280/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 1.7383 (1.8248)	Prec@1 53.906 (52.261)	Prec@5 81.250 (81.666)
Epoch: [74][3290/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 1.7043 (1.8247)	Prec@1 56.250 (52.264)	Prec@5 84.375 (81.666)
Epoch: [74][3300/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 1.7978 (1.8248)	Prec@1 53.906 (52.262)	Prec@5 83.594 (81.665)
Epoch: [74][3310/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 1.8465 (1.8246)	Prec@1 48.438 (52.263)	Prec@5 78.125 (81.666)
Epoch: [74][3320/14090]	Time 0.862 (0.766)	Data 0.001 (0.002)	Loss 1.7523 (1.8247)	Prec@1 53.125 (52.259)	Prec@5 84.375 (81.667)
Epoch: [74][3330/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 1.6846 (1.8246)	Prec@1 53.125 (52.262)	Prec@5 85.938 (81.667)
Epoch: [74][3340/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 1.8825 (1.8243)	Prec@1 46.875 (52.266)	Prec@5 79.688 (81.672)
Epoch: [74][3350/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 1.7506 (1.8247)	Prec@1 54.688 (52.256)	Prec@5 82.812 (81.664)
Epoch: [74][3360/14090]	Time 0.750 (0.766)	Data 0.001 (0.002)	Loss 1.8057 (1.8247)	Prec@1 51.562 (52.257)	Prec@5 81.250 (81.664)
Epoch: [74][3370/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 1.6583 (1.8246)	Prec@1 55.469 (52.260)	Prec@5 82.812 (81.666)
Epoch: [74][3380/14090]	Time 0.776 (0.766)	Data 0.001 (0.002)	Loss 1.6893 (1.8247)	Prec@1 56.250 (52.260)	Prec@5 85.156 (81.664)
Epoch: [74][3390/14090]	Time 0.858 (0.766)	Data 0.001 (0.002)	Loss 1.9411 (1.8246)	Prec@1 54.688 (52.271)	Prec@5 82.031 (81.668)
Epoch: [74][3400/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 2.2370 (1.8249)	Prec@1 42.188 (52.263)	Prec@5 75.000 (81.666)
Epoch: [74][3410/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 1.6826 (1.8249)	Prec@1 54.688 (52.266)	Prec@5 85.938 (81.666)
Epoch: [74][3420/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 2.0255 (1.8249)	Prec@1 45.312 (52.262)	Prec@5 76.562 (81.666)
Epoch: [74][3430/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 1.8678 (1.8248)	Prec@1 54.688 (52.268)	Prec@5 78.125 (81.667)
Epoch: [74][3440/14090]	Time 0.736 (0.766)	Data 0.001 (0.002)	Loss 2.1526 (1.8250)	Prec@1 45.312 (52.263)	Prec@5 76.562 (81.663)
Epoch: [74][3450/14090]	Time 0.777 (0.766)	Data 0.001 (0.002)	Loss 1.7896 (1.8250)	Prec@1 53.906 (52.263)	Prec@5 81.250 (81.664)
Epoch: [74][3460/14090]	Time 0.837 (0.766)	Data 0.001 (0.002)	Loss 1.8095 (1.8252)	Prec@1 55.469 (52.263)	Prec@5 79.688 (81.664)
Epoch: [74][3470/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 2.0645 (1.8256)	Prec@1 46.875 (52.252)	Prec@5 82.812 (81.657)
Epoch: [74][3480/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 1.7243 (1.8252)	Prec@1 55.469 (52.260)	Prec@5 83.594 (81.661)
Epoch: [74][3490/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 1.6836 (1.8252)	Prec@1 57.031 (52.261)	Prec@5 84.375 (81.664)
Epoch: [74][3500/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 1.8198 (1.8252)	Prec@1 45.312 (52.260)	Prec@5 85.156 (81.665)
Epoch: [74][3510/14090]	Time 0.794 (0.766)	Data 0.001 (0.002)	Loss 1.7681 (1.8253)	Prec@1 45.312 (52.254)	Prec@5 82.812 (81.665)
Epoch: [74][3520/14090]	Time 0.786 (0.766)	Data 0.001 (0.002)	Loss 1.9402 (1.8254)	Prec@1 47.656 (52.250)	Prec@5 78.906 (81.662)
Epoch: [74][3530/14090]	Time 0.855 (0.766)	Data 0.001 (0.002)	Loss 1.5932 (1.8252)	Prec@1 57.031 (52.256)	Prec@5 85.938 (81.665)
Epoch: [74][3540/14090]	Time 0.761 (0.766)	Data 0.001 (0.002)	Loss 1.8184 (1.8254)	Prec@1 47.656 (52.251)	Prec@5 78.125 (81.663)
Epoch: [74][3550/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 2.0794 (1.8255)	Prec@1 46.875 (52.246)	Prec@5 77.344 (81.661)
Epoch: [74][3560/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 1.6052 (1.8256)	Prec@1 53.125 (52.243)	Prec@5 85.156 (81.658)
Epoch: [74][3570/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 1.7990 (1.8256)	Prec@1 53.906 (52.244)	Prec@5 81.250 (81.657)
Epoch: [74][3580/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 1.8757 (1.8256)	Prec@1 51.562 (52.245)	Prec@5 78.906 (81.655)
Epoch: [74][3590/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 1.8423 (1.8258)	Prec@1 57.031 (52.241)	Prec@5 84.375 (81.652)
Epoch: [74][3600/14090]	Time 0.857 (0.766)	Data 0.001 (0.002)	Loss 1.8836 (1.8257)	Prec@1 47.656 (52.245)	Prec@5 80.469 (81.656)
Epoch: [74][3610/14090]	Time 0.785 (0.766)	Data 0.001 (0.002)	Loss 1.7719 (1.8257)	Prec@1 53.125 (52.247)	Prec@5 80.469 (81.651)
Epoch: [74][3620/14090]	Time 0.778 (0.766)	Data 0.001 (0.002)	Loss 1.5444 (1.8256)	Prec@1 62.500 (52.248)	Prec@5 82.812 (81.653)
Epoch: [74][3630/14090]	Time 0.775 (0.766)	Data 0.001 (0.002)	Loss 1.8527 (1.8259)	Prec@1 51.562 (52.241)	Prec@5 82.031 (81.653)
Epoch: [74][3640/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 1.6476 (1.8259)	Prec@1 57.031 (52.236)	Prec@5 84.375 (81.656)
Epoch: [74][3650/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 1.8882 (1.8258)	Prec@1 53.125 (52.237)	Prec@5 81.250 (81.658)
Epoch: [74][3660/14090]	Time 0.766 (0.766)	Data 0.001 (0.002)	Loss 1.7091 (1.8258)	Prec@1 50.781 (52.239)	Prec@5 82.031 (81.658)
Epoch: [74][3670/14090]	Time 0.857 (0.766)	Data 0.001 (0.002)	Loss 1.7515 (1.8260)	Prec@1 59.375 (52.233)	Prec@5 82.031 (81.655)
Epoch: [74][3680/14090]	Time 0.757 (0.766)	Data 0.001 (0.002)	Loss 1.7252 (1.8259)	Prec@1 54.688 (52.234)	Prec@5 79.688 (81.653)
Epoch: [74][3690/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 1.7417 (1.8257)	Prec@1 52.344 (52.237)	Prec@5 82.812 (81.655)
Epoch: [74][3700/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 1.9375 (1.8259)	Prec@1 49.219 (52.234)	Prec@5 78.906 (81.653)
Epoch: [74][3710/14090]	Time 0.773 (0.766)	Data 0.001 (0.002)	Loss 1.9110 (1.8259)	Prec@1 47.656 (52.233)	Prec@5 82.031 (81.654)
Epoch: [74][3720/14090]	Time 0.762 (0.766)	Data 0.001 (0.002)	Loss 1.7261 (1.8257)	Prec@1 55.469 (52.235)	Prec@5 84.375 (81.658)
Epoch: [74][3730/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 2.1066 (1.8256)	Prec@1 50.000 (52.243)	Prec@5 73.438 (81.659)
Epoch: [74][3740/14090]	Time 0.850 (0.766)	Data 0.001 (0.002)	Loss 1.6531 (1.8253)	Prec@1 55.469 (52.245)	Prec@5 86.719 (81.665)
Epoch: [74][3750/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 1.7637 (1.8254)	Prec@1 54.688 (52.242)	Prec@5 79.688 (81.665)
Epoch: [74][3760/14090]	Time 0.745 (0.766)	Data 0.001 (0.002)	Loss 1.9249 (1.8254)	Prec@1 50.781 (52.242)	Prec@5 82.812 (81.664)
Epoch: [74][3770/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 1.8840 (1.8254)	Prec@1 51.562 (52.243)	Prec@5 83.594 (81.664)
Epoch: [74][3780/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 1.8944 (1.8254)	Prec@1 44.531 (52.239)	Prec@5 80.469 (81.665)
Epoch: [74][3790/14090]	Time 0.763 (0.766)	Data 0.001 (0.002)	Loss 1.5881 (1.8254)	Prec@1 52.344 (52.240)	Prec@5 83.594 (81.664)
Epoch: [74][3800/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 1.9644 (1.8256)	Prec@1 46.094 (52.236)	Prec@5 78.125 (81.663)
Epoch: [74][3810/14090]	Time 0.862 (0.766)	Data 0.001 (0.002)	Loss 1.7680 (1.8256)	Prec@1 52.344 (52.238)	Prec@5 83.594 (81.662)
Epoch: [74][3820/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 1.7545 (1.8253)	Prec@1 49.219 (52.239)	Prec@5 82.031 (81.666)
Epoch: [74][3830/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 1.9495 (1.8252)	Prec@1 45.312 (52.239)	Prec@5 80.469 (81.672)
Epoch: [74][3840/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 2.0038 (1.8253)	Prec@1 51.562 (52.232)	Prec@5 78.906 (81.672)
Epoch: [74][3850/14090]	Time 0.763 (0.766)	Data 0.001 (0.002)	Loss 1.8040 (1.8252)	Prec@1 53.906 (52.237)	Prec@5 78.906 (81.674)
Epoch: [74][3860/14090]	Time 0.772 (0.766)	Data 0.001 (0.002)	Loss 1.8940 (1.8251)	Prec@1 48.438 (52.241)	Prec@5 78.125 (81.672)
Epoch: [74][3870/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 1.8862 (1.8251)	Prec@1 46.875 (52.239)	Prec@5 81.250 (81.674)
Epoch: [74][3880/14090]	Time 0.842 (0.766)	Data 0.001 (0.002)	Loss 1.7247 (1.8253)	Prec@1 53.125 (52.232)	Prec@5 83.594 (81.669)
Epoch: [74][3890/14090]	Time 0.740 (0.766)	Data 0.001 (0.002)	Loss 1.5764 (1.8251)	Prec@1 58.594 (52.236)	Prec@5 89.062 (81.672)
Epoch: [74][3900/14090]	Time 0.744 (0.766)	Data 0.001 (0.002)	Loss 1.9235 (1.8251)	Prec@1 48.438 (52.237)	Prec@5 80.469 (81.671)
Epoch: [74][3910/14090]	Time 0.779 (0.766)	Data 0.001 (0.002)	Loss 1.8571 (1.8252)	Prec@1 51.562 (52.234)	Prec@5 80.469 (81.667)
Epoch: [74][3920/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 1.8187 (1.8251)	Prec@1 56.250 (52.239)	Prec@5 81.250 (81.670)
Epoch: [74][3930/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 1.7410 (1.8251)	Prec@1 53.906 (52.239)	Prec@5 81.250 (81.666)
Epoch: [74][3940/14090]	Time 0.777 (0.766)	Data 0.001 (0.002)	Loss 1.6005 (1.8249)	Prec@1 53.906 (52.239)	Prec@5 83.594 (81.671)
Epoch: [74][3950/14090]	Time 0.867 (0.766)	Data 0.001 (0.002)	Loss 2.0082 (1.8251)	Prec@1 50.781 (52.233)	Prec@5 75.781 (81.669)
Epoch: [74][3960/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 1.8096 (1.8250)	Prec@1 49.219 (52.236)	Prec@5 84.375 (81.669)
Epoch: [74][3970/14090]	Time 0.788 (0.766)	Data 0.001 (0.002)	Loss 1.6876 (1.8249)	Prec@1 53.906 (52.238)	Prec@5 83.594 (81.671)
Epoch: [74][3980/14090]	Time 0.775 (0.766)	Data 0.001 (0.002)	Loss 1.6633 (1.8249)	Prec@1 54.688 (52.241)	Prec@5 85.156 (81.669)
Epoch: [74][3990/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 1.5969 (1.8250)	Prec@1 60.938 (52.239)	Prec@5 85.938 (81.669)
Epoch: [74][4000/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 1.8035 (1.8249)	Prec@1 49.219 (52.240)	Prec@5 79.688 (81.669)
Epoch: [74][4010/14090]	Time 0.767 (0.766)	Data 0.001 (0.002)	Loss 1.7921 (1.8249)	Prec@1 54.688 (52.242)	Prec@5 77.344 (81.666)
Epoch: [74][4020/14090]	Time 0.855 (0.766)	Data 0.001 (0.002)	Loss 1.7324 (1.8250)	Prec@1 53.125 (52.239)	Prec@5 84.375 (81.664)
Epoch: [74][4030/14090]	Time 0.758 (0.766)	Data 0.001 (0.002)	Loss 2.2063 (1.8251)	Prec@1 40.625 (52.238)	Prec@5 77.344 (81.663)
Epoch: [74][4040/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 1.8942 (1.8250)	Prec@1 56.250 (52.246)	Prec@5 80.469 (81.666)
Epoch: [74][4050/14090]	Time 0.776 (0.766)	Data 0.001 (0.002)	Loss 1.8551 (1.8252)	Prec@1 56.250 (52.243)	Prec@5 82.031 (81.662)
Epoch: [74][4060/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 1.6603 (1.8253)	Prec@1 50.000 (52.240)	Prec@5 85.156 (81.660)
Epoch: [74][4070/14090]	Time 0.722 (0.766)	Data 0.001 (0.002)	Loss 1.5942 (1.8252)	Prec@1 59.375 (52.238)	Prec@5 85.938 (81.659)
Epoch: [74][4080/14090]	Time 0.764 (0.766)	Data 0.001 (0.002)	Loss 1.3386 (1.8252)	Prec@1 59.375 (52.237)	Prec@5 93.750 (81.660)
Epoch: [74][4090/14090]	Time 0.869 (0.766)	Data 0.001 (0.002)	Loss 1.8961 (1.8251)	Prec@1 49.219 (52.238)	Prec@5 82.031 (81.661)
Epoch: [74][4100/14090]	Time 0.771 (0.766)	Data 0.001 (0.002)	Loss 1.7333 (1.8250)	Prec@1 54.688 (52.242)	Prec@5 84.375 (81.663)
Epoch: [74][4110/14090]	Time 0.754 (0.766)	Data 0.001 (0.002)	Loss 1.7876 (1.8251)	Prec@1 55.469 (52.241)	Prec@5 81.250 (81.660)
Epoch: [74][4120/14090]	Time 0.777 (0.766)	Data 0.001 (0.002)	Loss 1.3743 (1.8249)	Prec@1 66.406 (52.244)	Prec@5 93.750 (81.667)
Epoch: [74][4130/14090]	Time 0.730 (0.766)	Data 0.001 (0.002)	Loss 1.8545 (1.8250)	Prec@1 47.656 (52.239)	Prec@5 81.250 (81.663)
Epoch: [74][4140/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 1.7732 (1.8249)	Prec@1 50.000 (52.242)	Prec@5 82.812 (81.664)
Epoch: [74][4150/14090]	Time 0.780 (0.766)	Data 0.001 (0.002)	Loss 1.7242 (1.8247)	Prec@1 58.594 (52.249)	Prec@5 81.250 (81.662)
Epoch: [74][4160/14090]	Time 0.864 (0.766)	Data 0.001 (0.002)	Loss 1.8243 (1.8249)	Prec@1 49.219 (52.244)	Prec@5 78.125 (81.662)
Epoch: [74][4170/14090]	Time 0.760 (0.766)	Data 0.001 (0.002)	Loss 1.8050 (1.8246)	Prec@1 57.812 (52.249)	Prec@5 78.906 (81.665)
Epoch: [74][4180/14090]	Time 0.770 (0.766)	Data 0.001 (0.002)	Loss 1.7692 (1.8247)	Prec@1 50.000 (52.249)	Prec@5 83.594 (81.665)
Epoch: [74][4190/14090]	Time 0.774 (0.766)	Data 0.001 (0.002)	Loss 1.5023 (1.8247)	Prec@1 63.281 (52.249)	Prec@5 89.062 (81.666)
Epoch: [74][4200/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 1.9901 (1.8248)	Prec@1 47.656 (52.247)	Prec@5 80.469 (81.663)
Epoch: [74][4210/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 1.8313 (1.8246)	Prec@1 50.781 (52.254)	Prec@5 84.375 (81.668)
Epoch: [74][4220/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 1.6465 (1.8246)	Prec@1 55.469 (52.253)	Prec@5 83.594 (81.670)
Epoch: [74][4230/14090]	Time 0.871 (0.766)	Data 0.001 (0.002)	Loss 1.7050 (1.8245)	Prec@1 54.688 (52.257)	Prec@5 81.250 (81.673)
Epoch: [74][4240/14090]	Time 0.765 (0.766)	Data 0.001 (0.002)	Loss 1.6228 (1.8246)	Prec@1 59.375 (52.253)	Prec@5 87.500 (81.671)
Epoch: [74][4250/14090]	Time 0.728 (0.766)	Data 0.001 (0.002)	Loss 1.8007 (1.8246)	Prec@1 55.469 (52.259)	Prec@5 80.469 (81.670)
Epoch: [74][4260/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 1.7455 (1.8243)	Prec@1 52.344 (52.266)	Prec@5 84.375 (81.674)
Epoch: [74][4270/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 1.7731 (1.8242)	Prec@1 50.000 (52.263)	Prec@5 83.594 (81.674)
Epoch: [74][4280/14090]	Time 0.752 (0.766)	Data 0.001 (0.002)	Loss 1.9915 (1.8241)	Prec@1 53.125 (52.266)	Prec@5 79.688 (81.676)
Epoch: [74][4290/14090]	Time 0.736 (0.766)	Data 0.002 (0.002)	Loss 1.9734 (1.8242)	Prec@1 45.312 (52.266)	Prec@5 76.562 (81.672)
Epoch: [74][4300/14090]	Time 0.901 (0.766)	Data 0.001 (0.002)	Loss 1.9473 (1.8242)	Prec@1 50.000 (52.265)	Prec@5 75.000 (81.670)
Epoch: [74][4310/14090]	Time 0.742 (0.766)	Data 0.001 (0.002)	Loss 1.6776 (1.8242)	Prec@1 50.781 (52.265)	Prec@5 85.156 (81.671)
Epoch: [74][4320/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 1.6953 (1.8245)	Prec@1 57.031 (52.261)	Prec@5 82.812 (81.665)
Epoch: [74][4330/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 1.6141 (1.8244)	Prec@1 58.594 (52.262)	Prec@5 85.938 (81.667)
Epoch: [74][4340/14090]	Time 0.755 (0.766)	Data 0.001 (0.002)	Loss 1.7159 (1.8244)	Prec@1 55.469 (52.263)	Prec@5 83.594 (81.666)
Epoch: [74][4350/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 2.0605 (1.8244)	Prec@1 46.875 (52.263)	Prec@5 77.344 (81.666)
Epoch: [74][4360/14090]	Time 0.733 (0.766)	Data 0.001 (0.002)	Loss 1.6623 (1.8242)	Prec@1 58.594 (52.266)	Prec@5 83.594 (81.670)
Epoch: [74][4370/14090]	Time 0.872 (0.766)	Data 0.001 (0.002)	Loss 1.6667 (1.8241)	Prec@1 58.594 (52.271)	Prec@5 83.594 (81.672)
Epoch: [74][4380/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 1.6702 (1.8240)	Prec@1 58.594 (52.274)	Prec@5 83.594 (81.670)
Epoch: [74][4390/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 1.9637 (1.8240)	Prec@1 52.344 (52.276)	Prec@5 78.906 (81.671)
Epoch: [74][4400/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 1.7665 (1.8240)	Prec@1 53.906 (52.270)	Prec@5 82.031 (81.670)
Epoch: [74][4410/14090]	Time 0.770 (0.766)	Data 0.001 (0.002)	Loss 1.9228 (1.8242)	Prec@1 46.875 (52.264)	Prec@5 80.469 (81.668)
Epoch: [74][4420/14090]	Time 0.751 (0.766)	Data 0.001 (0.002)	Loss 1.8940 (1.8242)	Prec@1 47.656 (52.264)	Prec@5 82.812 (81.670)
Epoch: [74][4430/14090]	Time 0.729 (0.766)	Data 0.001 (0.002)	Loss 1.8645 (1.8242)	Prec@1 56.250 (52.268)	Prec@5 81.250 (81.669)
Epoch: [74][4440/14090]	Time 0.858 (0.766)	Data 0.001 (0.002)	Loss 1.9483 (1.8241)	Prec@1 46.875 (52.268)	Prec@5 82.812 (81.671)
Epoch: [74][4450/14090]	Time 0.724 (0.766)	Data 0.001 (0.002)	Loss 1.9739 (1.8240)	Prec@1 53.125 (52.272)	Prec@5 80.469 (81.673)
Epoch: [74][4460/14090]	Time 0.746 (0.766)	Data 0.001 (0.002)	Loss 1.6659 (1.8241)	Prec@1 51.562 (52.265)	Prec@5 85.938 (81.675)
Epoch: [74][4470/14090]	Time 0.784 (0.766)	Data 0.001 (0.002)	Loss 1.9843 (1.8241)	Prec@1 48.438 (52.264)	Prec@5 79.688 (81.676)
Epoch: [74][4480/14090]	Time 0.727 (0.766)	Data 0.001 (0.002)	Loss 1.5996 (1.8241)	Prec@1 57.031 (52.261)	Prec@5 87.500 (81.675)
Epoch: [74][4490/14090]	Time 0.784 (0.766)	Data 0.001 (0.002)	Loss 1.8129 (1.8242)	Prec@1 46.094 (52.260)	Prec@5 82.031 (81.675)
Epoch: [74][4500/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 1.8667 (1.8240)	Prec@1 54.688 (52.262)	Prec@5 81.250 (81.678)
Epoch: [74][4510/14090]	Time 0.884 (0.766)	Data 0.001 (0.002)	Loss 2.0876 (1.8239)	Prec@1 45.312 (52.263)	Prec@5 76.562 (81.679)
Epoch: [74][4520/14090]	Time 0.747 (0.766)	Data 0.001 (0.002)	Loss 1.7909 (1.8240)	Prec@1 55.469 (52.263)	Prec@5 83.594 (81.680)
Epoch: [74][4530/14090]	Time 0.741 (0.766)	Data 0.001 (0.002)	Loss 1.8330 (1.8239)	Prec@1 49.219 (52.262)	Prec@5 82.812 (81.683)
Epoch: [74][4540/14090]	Time 0.741 (0.766)	Data 0.002 (0.002)	Loss 1.7782 (1.8239)	Prec@1 51.562 (52.264)	Prec@5 81.250 (81.684)
Epoch: [74][4550/14090]	Time 0.772 (0.766)	Data 0.001 (0.002)	Loss 1.8722 (1.8238)	Prec@1 49.219 (52.266)	Prec@5 79.688 (81.682)
Epoch: [74][4560/14090]	Time 0.764 (0.766)	Data 0.001 (0.002)	Loss 1.7861 (1.8240)	Prec@1 49.219 (52.262)	Prec@5 82.031 (81.678)
Epoch: [74][4570/14090]	Time 0.770 (0.766)	Data 0.001 (0.002)	Loss 1.6789 (1.8239)	Prec@1 53.125 (52.261)	Prec@5 83.594 (81.680)
Epoch: [74][4580/14090]	Time 0.887 (0.766)	Data 0.001 (0.002)	Loss 1.8096 (1.8240)	Prec@1 49.219 (52.261)	Prec@5 80.469 (81.679)
Epoch: [74][4590/14090]	Time 0.737 (0.766)	Data 0.001 (0.002)	Loss 1.6921 (1.8240)	Prec@1 52.344 (52.257)	Prec@5 88.281 (81.677)
Epoch: [74][4600/14090]	Time 0.731 (0.766)	Data 0.001 (0.002)	Loss 1.8761 (1.8239)	Prec@1 50.781 (52.261)	Prec@5 85.156 (81.680)
Epoch: [74][4610/14090]	Time 0.756 (0.766)	Data 0.001 (0.002)	Loss 1.9681 (1.8241)	Prec@1 48.438 (52.256)	Prec@5 79.688 (81.678)
Epoch: [74][4620/14090]	Time 0.748 (0.766)	Data 0.001 (0.002)	Loss 1.8644 (1.8240)	Prec@1 50.781 (52.260)	Prec@5 82.031 (81.683)
Epoch: [74][4630/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 1.9802 (1.8240)	Prec@1 45.312 (52.256)	Prec@5 82.812 (81.685)
Epoch: [74][4640/14090]	Time 0.732 (0.766)	Data 0.001 (0.002)	Loss 2.2006 (1.8239)	Prec@1 47.656 (52.257)	Prec@5 71.875 (81.686)
Epoch: [74][4650/14090]	Time 0.900 (0.767)	Data 0.001 (0.002)	Loss 1.6813 (1.8239)	Prec@1 50.781 (52.255)	Prec@5 84.375 (81.689)
Epoch: [74][4660/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 1.7734 (1.8241)	Prec@1 49.219 (52.253)	Prec@5 86.719 (81.689)
Epoch: [74][4670/14090]	Time 0.763 (0.767)	Data 0.001 (0.002)	Loss 1.9509 (1.8241)	Prec@1 49.219 (52.254)	Prec@5 78.906 (81.687)
Epoch: [74][4680/14090]	Time 0.726 (0.767)	Data 0.001 (0.002)	Loss 1.8436 (1.8241)	Prec@1 47.656 (52.248)	Prec@5 82.812 (81.687)
Epoch: [74][4690/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 1.7519 (1.8242)	Prec@1 52.344 (52.241)	Prec@5 84.375 (81.686)
Epoch: [74][4700/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 2.0293 (1.8243)	Prec@1 52.344 (52.240)	Prec@5 75.781 (81.683)
Epoch: [74][4710/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 1.9255 (1.8243)	Prec@1 50.000 (52.244)	Prec@5 77.344 (81.682)
Epoch: [74][4720/14090]	Time 0.843 (0.767)	Data 0.001 (0.002)	Loss 2.0773 (1.8244)	Prec@1 46.094 (52.243)	Prec@5 80.469 (81.681)
Epoch: [74][4730/14090]	Time 0.739 (0.766)	Data 0.001 (0.002)	Loss 1.8949 (1.8244)	Prec@1 49.219 (52.242)	Prec@5 82.812 (81.681)
Epoch: [74][4740/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 1.6699 (1.8243)	Prec@1 57.812 (52.244)	Prec@5 84.375 (81.682)
Epoch: [74][4750/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 1.6611 (1.8245)	Prec@1 53.906 (52.242)	Prec@5 85.938 (81.677)
Epoch: [74][4760/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 1.9272 (1.8246)	Prec@1 46.094 (52.242)	Prec@5 83.594 (81.677)
Epoch: [74][4770/14090]	Time 0.762 (0.767)	Data 0.001 (0.002)	Loss 1.9745 (1.8247)	Prec@1 51.562 (52.239)	Prec@5 75.000 (81.672)
Epoch: [74][4780/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.1292 (1.8247)	Prec@1 50.000 (52.238)	Prec@5 74.219 (81.671)
Epoch: [74][4790/14090]	Time 0.901 (0.767)	Data 0.001 (0.002)	Loss 1.9036 (1.8248)	Prec@1 42.188 (52.232)	Prec@5 81.250 (81.672)
Epoch: [74][4800/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 1.6894 (1.8248)	Prec@1 52.344 (52.233)	Prec@5 84.375 (81.672)
Epoch: [74][4810/14090]	Time 0.735 (0.767)	Data 0.002 (0.002)	Loss 1.7734 (1.8247)	Prec@1 53.125 (52.234)	Prec@5 79.688 (81.675)
Epoch: [74][4820/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 1.7453 (1.8247)	Prec@1 53.125 (52.234)	Prec@5 84.375 (81.677)
Epoch: [74][4830/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 1.8444 (1.8246)	Prec@1 50.000 (52.234)	Prec@5 85.938 (81.679)
Epoch: [74][4840/14090]	Time 0.769 (0.767)	Data 0.002 (0.002)	Loss 1.9168 (1.8247)	Prec@1 56.250 (52.235)	Prec@5 80.469 (81.676)
Epoch: [74][4850/14090]	Time 0.778 (0.767)	Data 0.001 (0.002)	Loss 1.5708 (1.8248)	Prec@1 58.594 (52.232)	Prec@5 83.594 (81.676)
Epoch: [74][4860/14090]	Time 0.869 (0.767)	Data 0.001 (0.002)	Loss 1.9870 (1.8248)	Prec@1 51.562 (52.232)	Prec@5 78.125 (81.674)
Epoch: [74][4870/14090]	Time 0.757 (0.767)	Data 0.001 (0.002)	Loss 2.0845 (1.8250)	Prec@1 47.656 (52.232)	Prec@5 78.906 (81.672)
Epoch: [74][4880/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 1.5749 (1.8249)	Prec@1 53.906 (52.231)	Prec@5 88.281 (81.676)
Epoch: [74][4890/14090]	Time 0.770 (0.767)	Data 0.001 (0.002)	Loss 1.8900 (1.8249)	Prec@1 50.000 (52.231)	Prec@5 83.594 (81.678)
Epoch: [74][4900/14090]	Time 0.760 (0.767)	Data 0.001 (0.002)	Loss 1.7881 (1.8247)	Prec@1 57.031 (52.237)	Prec@5 84.375 (81.680)
Epoch: [74][4910/14090]	Time 0.760 (0.767)	Data 0.001 (0.002)	Loss 1.8752 (1.8250)	Prec@1 47.656 (52.232)	Prec@5 77.344 (81.674)
Epoch: [74][4920/14090]	Time 0.771 (0.767)	Data 0.001 (0.002)	Loss 1.7960 (1.8249)	Prec@1 50.000 (52.234)	Prec@5 80.469 (81.674)
Epoch: [74][4930/14090]	Time 0.911 (0.767)	Data 0.001 (0.002)	Loss 1.7990 (1.8248)	Prec@1 53.125 (52.236)	Prec@5 83.594 (81.677)
Epoch: [74][4940/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 1.8878 (1.8248)	Prec@1 51.562 (52.236)	Prec@5 79.688 (81.675)
Epoch: [74][4950/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 1.8207 (1.8247)	Prec@1 52.344 (52.238)	Prec@5 79.688 (81.677)
Epoch: [74][4960/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 1.9842 (1.8246)	Prec@1 47.656 (52.239)	Prec@5 78.906 (81.679)
Epoch: [74][4970/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 1.9052 (1.8246)	Prec@1 49.219 (52.238)	Prec@5 79.688 (81.679)
Epoch: [74][4980/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 1.8779 (1.8245)	Prec@1 50.781 (52.240)	Prec@5 79.688 (81.681)
Epoch: [74][4990/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 1.9288 (1.8242)	Prec@1 51.562 (52.245)	Prec@5 80.469 (81.685)
Epoch: [74][5000/14090]	Time 0.895 (0.767)	Data 0.001 (0.002)	Loss 1.7240 (1.8242)	Prec@1 53.125 (52.243)	Prec@5 82.812 (81.687)
Epoch: [74][5010/14090]	Time 0.774 (0.767)	Data 0.001 (0.002)	Loss 1.9402 (1.8243)	Prec@1 55.469 (52.243)	Prec@5 78.125 (81.686)
Epoch: [74][5020/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 1.7175 (1.8242)	Prec@1 58.594 (52.247)	Prec@5 86.719 (81.689)
Epoch: [74][5030/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 2.1037 (1.8241)	Prec@1 49.219 (52.248)	Prec@5 76.562 (81.690)
Epoch: [74][5040/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 1.8841 (1.8241)	Prec@1 57.031 (52.248)	Prec@5 85.156 (81.693)
Epoch: [74][5050/14090]	Time 0.763 (0.767)	Data 0.001 (0.002)	Loss 1.8507 (1.8243)	Prec@1 50.781 (52.242)	Prec@5 77.344 (81.690)
Epoch: [74][5060/14090]	Time 0.777 (0.767)	Data 0.001 (0.002)	Loss 1.7682 (1.8244)	Prec@1 57.031 (52.244)	Prec@5 82.031 (81.689)
Epoch: [74][5070/14090]	Time 0.847 (0.767)	Data 0.001 (0.002)	Loss 1.9570 (1.8243)	Prec@1 42.969 (52.242)	Prec@5 84.375 (81.692)
Epoch: [74][5080/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 1.8582 (1.8245)	Prec@1 51.562 (52.240)	Prec@5 83.594 (81.688)
Epoch: [74][5090/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 1.7238 (1.8244)	Prec@1 51.562 (52.238)	Prec@5 81.250 (81.692)
Epoch: [74][5100/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 1.9298 (1.8243)	Prec@1 51.562 (52.238)	Prec@5 75.781 (81.692)
Epoch: [74][5110/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 1.8273 (1.8244)	Prec@1 46.875 (52.236)	Prec@5 82.031 (81.692)
Epoch: [74][5120/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 1.7606 (1.8244)	Prec@1 60.938 (52.236)	Prec@5 82.031 (81.688)
Epoch: [74][5130/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 1.8667 (1.8244)	Prec@1 48.438 (52.235)	Prec@5 79.688 (81.686)
Epoch: [74][5140/14090]	Time 0.869 (0.767)	Data 0.001 (0.002)	Loss 1.7925 (1.8244)	Prec@1 53.125 (52.237)	Prec@5 80.469 (81.688)
Epoch: [74][5150/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 1.7360 (1.8243)	Prec@1 51.562 (52.237)	Prec@5 82.031 (81.689)
Epoch: [74][5160/14090]	Time 0.789 (0.767)	Data 0.001 (0.002)	Loss 1.6366 (1.8245)	Prec@1 52.344 (52.234)	Prec@5 85.938 (81.688)
Epoch: [74][5170/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 1.7672 (1.8245)	Prec@1 55.469 (52.235)	Prec@5 85.938 (81.690)
Epoch: [74][5180/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 1.8936 (1.8246)	Prec@1 51.562 (52.235)	Prec@5 84.375 (81.689)
Epoch: [74][5190/14090]	Time 0.764 (0.767)	Data 0.001 (0.002)	Loss 2.0040 (1.8247)	Prec@1 48.438 (52.234)	Prec@5 84.375 (81.691)
Epoch: [74][5200/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 1.6191 (1.8247)	Prec@1 54.688 (52.232)	Prec@5 89.844 (81.694)
Epoch: [74][5210/14090]	Time 0.877 (0.767)	Data 0.001 (0.002)	Loss 1.6849 (1.8248)	Prec@1 54.688 (52.227)	Prec@5 84.375 (81.692)
Epoch: [74][5220/14090]	Time 0.768 (0.767)	Data 0.001 (0.002)	Loss 1.5789 (1.8248)	Prec@1 59.375 (52.229)	Prec@5 83.594 (81.692)
Epoch: [74][5230/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 1.8637 (1.8246)	Prec@1 50.000 (52.231)	Prec@5 83.594 (81.693)
Epoch: [74][5240/14090]	Time 0.772 (0.767)	Data 0.001 (0.002)	Loss 1.6484 (1.8246)	Prec@1 56.250 (52.229)	Prec@5 86.719 (81.696)
Epoch: [74][5250/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 1.7121 (1.8246)	Prec@1 51.562 (52.227)	Prec@5 85.938 (81.695)
Epoch: [74][5260/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 1.9590 (1.8246)	Prec@1 53.125 (52.231)	Prec@5 76.562 (81.695)
Epoch: [74][5270/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 1.7122 (1.8246)	Prec@1 53.906 (52.230)	Prec@5 82.812 (81.695)
Epoch: [74][5280/14090]	Time 0.880 (0.767)	Data 0.001 (0.002)	Loss 1.9844 (1.8246)	Prec@1 49.219 (52.227)	Prec@5 77.344 (81.693)
Epoch: [74][5290/14090]	Time 0.757 (0.767)	Data 0.001 (0.002)	Loss 1.8565 (1.8247)	Prec@1 48.438 (52.226)	Prec@5 80.469 (81.692)
Epoch: [74][5300/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 2.0349 (1.8247)	Prec@1 52.344 (52.231)	Prec@5 80.469 (81.693)
Epoch: [74][5310/14090]	Time 0.760 (0.767)	Data 0.001 (0.002)	Loss 1.9264 (1.8247)	Prec@1 48.438 (52.230)	Prec@5 82.812 (81.695)
Epoch: [74][5320/14090]	Time 0.725 (0.767)	Data 0.001 (0.002)	Loss 1.7388 (1.8247)	Prec@1 50.000 (52.231)	Prec@5 85.156 (81.694)
Epoch: [74][5330/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 1.7169 (1.8245)	Prec@1 56.250 (52.233)	Prec@5 85.938 (81.696)
Epoch: [74][5340/14090]	Time 0.724 (0.767)	Data 0.001 (0.002)	Loss 1.9919 (1.8246)	Prec@1 47.656 (52.231)	Prec@5 79.688 (81.696)
Epoch: [74][5350/14090]	Time 0.881 (0.767)	Data 0.001 (0.002)	Loss 1.7856 (1.8247)	Prec@1 50.000 (52.231)	Prec@5 85.156 (81.694)
Epoch: [74][5360/14090]	Time 0.772 (0.767)	Data 0.001 (0.002)	Loss 1.8547 (1.8248)	Prec@1 55.469 (52.228)	Prec@5 85.938 (81.695)
Epoch: [74][5370/14090]	Time 0.769 (0.767)	Data 0.001 (0.002)	Loss 1.6744 (1.8250)	Prec@1 52.344 (52.222)	Prec@5 85.938 (81.692)
Epoch: [74][5380/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 1.8042 (1.8251)	Prec@1 50.781 (52.220)	Prec@5 79.688 (81.690)
Epoch: [74][5390/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 2.0036 (1.8252)	Prec@1 53.906 (52.220)	Prec@5 78.906 (81.689)
Epoch: [74][5400/14090]	Time 0.761 (0.767)	Data 0.001 (0.002)	Loss 2.1955 (1.8251)	Prec@1 43.750 (52.222)	Prec@5 75.781 (81.690)
Epoch: [74][5410/14090]	Time 0.726 (0.767)	Data 0.001 (0.002)	Loss 1.8382 (1.8252)	Prec@1 51.562 (52.223)	Prec@5 79.688 (81.688)
Epoch: [74][5420/14090]	Time 0.896 (0.767)	Data 0.001 (0.002)	Loss 1.7477 (1.8249)	Prec@1 59.375 (52.227)	Prec@5 78.906 (81.692)
Epoch: [74][5430/14090]	Time 0.763 (0.767)	Data 0.001 (0.002)	Loss 1.8781 (1.8249)	Prec@1 50.781 (52.229)	Prec@5 83.594 (81.694)
Epoch: [74][5440/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 1.9616 (1.8250)	Prec@1 50.000 (52.228)	Prec@5 73.438 (81.693)
Epoch: [74][5450/14090]	Time 0.774 (0.767)	Data 0.001 (0.002)	Loss 1.7335 (1.8249)	Prec@1 54.688 (52.231)	Prec@5 82.031 (81.693)
Epoch: [74][5460/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.0212 (1.8251)	Prec@1 45.312 (52.228)	Prec@5 78.125 (81.690)
Epoch: [74][5470/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 2.0165 (1.8251)	Prec@1 45.312 (52.228)	Prec@5 74.219 (81.689)
Epoch: [74][5480/14090]	Time 0.727 (0.767)	Data 0.001 (0.002)	Loss 2.0553 (1.8250)	Prec@1 50.781 (52.230)	Prec@5 72.656 (81.689)
Epoch: [74][5490/14090]	Time 1.066 (0.767)	Data 0.001 (0.002)	Loss 1.6147 (1.8250)	Prec@1 57.031 (52.233)	Prec@5 88.281 (81.690)
Epoch: [74][5500/14090]	Time 0.764 (0.767)	Data 0.001 (0.002)	Loss 1.9290 (1.8251)	Prec@1 46.094 (52.229)	Prec@5 81.250 (81.690)
Epoch: [74][5510/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 1.9516 (1.8252)	Prec@1 52.344 (52.226)	Prec@5 81.250 (81.688)
Epoch: [74][5520/14090]	Time 0.731 (0.767)	Data 0.001 (0.002)	Loss 1.8844 (1.8252)	Prec@1 50.000 (52.228)	Prec@5 79.688 (81.687)
Epoch: [74][5530/14090]	Time 0.773 (0.767)	Data 0.001 (0.002)	Loss 2.0044 (1.8254)	Prec@1 47.656 (52.225)	Prec@5 75.000 (81.683)
Epoch: [74][5540/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 1.5315 (1.8254)	Prec@1 53.906 (52.225)	Prec@5 89.062 (81.686)
Epoch: [74][5550/14090]	Time 0.723 (0.767)	Data 0.001 (0.002)	Loss 1.8257 (1.8252)	Prec@1 46.875 (52.228)	Prec@5 84.375 (81.688)
Epoch: [74][5560/14090]	Time 0.891 (0.767)	Data 0.001 (0.002)	Loss 2.0624 (1.8252)	Prec@1 49.219 (52.226)	Prec@5 79.688 (81.687)
Epoch: [74][5570/14090]	Time 0.792 (0.767)	Data 0.001 (0.002)	Loss 2.0992 (1.8253)	Prec@1 47.656 (52.224)	Prec@5 78.125 (81.684)
Epoch: [74][5580/14090]	Time 0.777 (0.767)	Data 0.001 (0.002)	Loss 1.7826 (1.8253)	Prec@1 54.688 (52.224)	Prec@5 80.469 (81.682)
Epoch: [74][5590/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 1.8563 (1.8253)	Prec@1 46.875 (52.224)	Prec@5 82.812 (81.683)
Epoch: [74][5600/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 1.9226 (1.8253)	Prec@1 51.562 (52.225)	Prec@5 81.250 (81.684)
Epoch: [74][5610/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 1.9698 (1.8252)	Prec@1 50.000 (52.227)	Prec@5 78.125 (81.684)
Epoch: [74][5620/14090]	Time 0.768 (0.767)	Data 0.001 (0.002)	Loss 1.7086 (1.8252)	Prec@1 52.344 (52.228)	Prec@5 84.375 (81.685)
Epoch: [74][5630/14090]	Time 0.876 (0.767)	Data 0.001 (0.002)	Loss 2.0317 (1.8253)	Prec@1 47.656 (52.226)	Prec@5 78.906 (81.684)
Epoch: [74][5640/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 1.8172 (1.8253)	Prec@1 47.656 (52.224)	Prec@5 82.812 (81.683)
Epoch: [74][5650/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 1.7178 (1.8252)	Prec@1 51.562 (52.223)	Prec@5 81.250 (81.683)
Epoch: [74][5660/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 1.8998 (1.8252)	Prec@1 49.219 (52.224)	Prec@5 82.031 (81.682)
Epoch: [74][5670/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 1.7406 (1.8253)	Prec@1 49.219 (52.220)	Prec@5 84.375 (81.682)
Epoch: [74][5680/14090]	Time 0.731 (0.767)	Data 0.001 (0.002)	Loss 1.6757 (1.8253)	Prec@1 59.375 (52.219)	Prec@5 82.812 (81.682)
Epoch: [74][5690/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 1.7414 (1.8254)	Prec@1 56.250 (52.215)	Prec@5 82.031 (81.681)
Epoch: [74][5700/14090]	Time 0.868 (0.767)	Data 0.001 (0.002)	Loss 1.8080 (1.8254)	Prec@1 48.438 (52.215)	Prec@5 82.031 (81.681)
Epoch: [74][5710/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 1.7646 (1.8254)	Prec@1 58.594 (52.215)	Prec@5 82.031 (81.680)
Epoch: [74][5720/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 1.9666 (1.8255)	Prec@1 50.000 (52.215)	Prec@5 77.344 (81.678)
Epoch: [74][5730/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 1.9038 (1.8255)	Prec@1 50.000 (52.211)	Prec@5 77.344 (81.677)
Epoch: [74][5740/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 1.7776 (1.8255)	Prec@1 57.812 (52.212)	Prec@5 79.688 (81.676)
Epoch: [74][5750/14090]	Time 0.724 (0.767)	Data 0.001 (0.002)	Loss 1.9439 (1.8255)	Prec@1 49.219 (52.212)	Prec@5 77.344 (81.676)
Epoch: [74][5760/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 1.9165 (1.8257)	Prec@1 49.219 (52.209)	Prec@5 82.812 (81.672)
Epoch: [74][5770/14090]	Time 0.872 (0.767)	Data 0.001 (0.002)	Loss 1.3978 (1.8255)	Prec@1 62.500 (52.211)	Prec@5 89.062 (81.676)
Epoch: [74][5780/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 1.9030 (1.8253)	Prec@1 53.125 (52.214)	Prec@5 83.594 (81.680)
Epoch: [74][5790/14090]	Time 0.763 (0.767)	Data 0.001 (0.002)	Loss 1.9232 (1.8252)	Prec@1 52.344 (52.216)	Prec@5 80.469 (81.681)
Epoch: [74][5800/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 2.0844 (1.8254)	Prec@1 42.969 (52.212)	Prec@5 80.469 (81.679)
Epoch: [74][5810/14090]	Time 0.787 (0.767)	Data 0.001 (0.002)	Loss 1.5950 (1.8253)	Prec@1 54.688 (52.213)	Prec@5 85.156 (81.679)
Epoch: [74][5820/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 1.9639 (1.8254)	Prec@1 46.094 (52.210)	Prec@5 82.031 (81.677)
Epoch: [74][5830/14090]	Time 0.792 (0.767)	Data 0.001 (0.002)	Loss 1.7728 (1.8255)	Prec@1 50.781 (52.209)	Prec@5 80.469 (81.676)
Epoch: [74][5840/14090]	Time 0.886 (0.767)	Data 0.001 (0.002)	Loss 1.8548 (1.8255)	Prec@1 50.781 (52.207)	Prec@5 84.375 (81.678)
Epoch: [74][5850/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 1.9234 (1.8253)	Prec@1 48.438 (52.212)	Prec@5 78.125 (81.681)
Epoch: [74][5860/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 1.8444 (1.8254)	Prec@1 53.125 (52.209)	Prec@5 80.469 (81.679)
Epoch: [74][5870/14090]	Time 0.765 (0.767)	Data 0.001 (0.002)	Loss 1.7833 (1.8254)	Prec@1 55.469 (52.208)	Prec@5 81.250 (81.676)
Epoch: [74][5880/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 1.8987 (1.8254)	Prec@1 51.562 (52.211)	Prec@5 80.469 (81.674)
Epoch: [74][5890/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 1.7341 (1.8255)	Prec@1 49.219 (52.210)	Prec@5 85.156 (81.672)
Epoch: [74][5900/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 2.3407 (1.8256)	Prec@1 44.531 (52.207)	Prec@5 75.000 (81.670)
Epoch: [74][5910/14090]	Time 0.851 (0.767)	Data 0.001 (0.002)	Loss 1.7350 (1.8257)	Prec@1 57.812 (52.207)	Prec@5 78.125 (81.668)
Epoch: [74][5920/14090]	Time 0.731 (0.767)	Data 0.001 (0.002)	Loss 1.7832 (1.8256)	Prec@1 46.875 (52.208)	Prec@5 82.812 (81.667)
Epoch: [74][5930/14090]	Time 0.784 (0.767)	Data 0.001 (0.002)	Loss 1.8211 (1.8257)	Prec@1 55.469 (52.207)	Prec@5 82.812 (81.667)
Epoch: [74][5940/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 1.7343 (1.8256)	Prec@1 57.031 (52.209)	Prec@5 85.156 (81.668)
Epoch: [74][5950/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 1.8150 (1.8256)	Prec@1 53.125 (52.210)	Prec@5 81.250 (81.668)
Epoch: [74][5960/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 1.8005 (1.8257)	Prec@1 55.469 (52.209)	Prec@5 80.469 (81.669)
Epoch: [74][5970/14090]	Time 0.727 (0.767)	Data 0.001 (0.002)	Loss 1.9436 (1.8257)	Prec@1 46.875 (52.206)	Prec@5 82.812 (81.670)
Epoch: [74][5980/14090]	Time 0.822 (0.767)	Data 0.001 (0.002)	Loss 2.1751 (1.8258)	Prec@1 42.969 (52.200)	Prec@5 75.000 (81.666)
Epoch: [74][5990/14090]	Time 0.720 (0.767)	Data 0.002 (0.002)	Loss 1.8879 (1.8258)	Prec@1 50.781 (52.200)	Prec@5 81.250 (81.668)
Epoch: [74][6000/14090]	Time 0.800 (0.767)	Data 0.001 (0.002)	Loss 1.9276 (1.8260)	Prec@1 53.125 (52.196)	Prec@5 77.344 (81.665)
Epoch: [74][6010/14090]	Time 0.769 (0.767)	Data 0.001 (0.002)	Loss 1.9279 (1.8261)	Prec@1 54.688 (52.193)	Prec@5 82.812 (81.665)
Epoch: [74][6020/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 1.8242 (1.8262)	Prec@1 57.031 (52.192)	Prec@5 82.031 (81.663)
Epoch: [74][6030/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 1.8060 (1.8264)	Prec@1 53.125 (52.189)	Prec@5 85.156 (81.661)
Epoch: [74][6040/14090]	Time 0.765 (0.767)	Data 0.001 (0.002)	Loss 1.9066 (1.8264)	Prec@1 48.438 (52.184)	Prec@5 82.812 (81.660)
Epoch: [74][6050/14090]	Time 0.870 (0.767)	Data 0.001 (0.002)	Loss 1.9066 (1.8265)	Prec@1 55.469 (52.182)	Prec@5 75.781 (81.657)
Epoch: [74][6060/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 1.9151 (1.8265)	Prec@1 50.781 (52.182)	Prec@5 77.344 (81.654)
Epoch: [74][6070/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 1.9182 (1.8265)	Prec@1 52.344 (52.180)	Prec@5 84.375 (81.657)
Epoch: [74][6080/14090]	Time 0.723 (0.767)	Data 0.002 (0.002)	Loss 1.7587 (1.8264)	Prec@1 48.438 (52.178)	Prec@5 87.500 (81.659)
Epoch: [74][6090/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 1.9127 (1.8264)	Prec@1 51.562 (52.179)	Prec@5 82.031 (81.660)
Epoch: [74][6100/14090]	Time 0.731 (0.767)	Data 0.001 (0.002)	Loss 1.9231 (1.8262)	Prec@1 51.562 (52.182)	Prec@5 78.906 (81.661)
Epoch: [74][6110/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 1.8137 (1.8261)	Prec@1 53.125 (52.186)	Prec@5 79.688 (81.663)
Epoch: [74][6120/14090]	Time 0.900 (0.767)	Data 0.001 (0.002)	Loss 1.9965 (1.8262)	Prec@1 50.781 (52.185)	Prec@5 79.688 (81.661)
Epoch: [74][6130/14090]	Time 0.761 (0.767)	Data 0.001 (0.002)	Loss 1.6890 (1.8262)	Prec@1 58.594 (52.184)	Prec@5 82.812 (81.660)
Epoch: [74][6140/14090]	Time 0.779 (0.767)	Data 0.001 (0.002)	Loss 1.7862 (1.8261)	Prec@1 51.562 (52.187)	Prec@5 82.812 (81.661)
Epoch: [74][6150/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 1.5279 (1.8261)	Prec@1 60.156 (52.188)	Prec@5 85.938 (81.662)
Epoch: [74][6160/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 1.8474 (1.8261)	Prec@1 49.219 (52.188)	Prec@5 79.688 (81.661)
Epoch: [74][6170/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 1.6619 (1.8260)	Prec@1 57.031 (52.191)	Prec@5 82.812 (81.664)
Epoch: [74][6180/14090]	Time 0.774 (0.767)	Data 0.001 (0.002)	Loss 2.0786 (1.8261)	Prec@1 44.531 (52.190)	Prec@5 79.688 (81.664)
Epoch: [74][6190/14090]	Time 0.900 (0.767)	Data 0.001 (0.002)	Loss 1.8732 (1.8260)	Prec@1 50.781 (52.194)	Prec@5 79.688 (81.665)
Epoch: [74][6200/14090]	Time 0.767 (0.767)	Data 0.001 (0.002)	Loss 1.9274 (1.8259)	Prec@1 50.781 (52.197)	Prec@5 78.906 (81.669)
Epoch: [74][6210/14090]	Time 0.768 (0.767)	Data 0.001 (0.002)	Loss 1.7428 (1.8258)	Prec@1 54.688 (52.198)	Prec@5 82.031 (81.670)
Epoch: [74][6220/14090]	Time 0.772 (0.767)	Data 0.001 (0.002)	Loss 1.7993 (1.8258)	Prec@1 46.094 (52.196)	Prec@5 79.688 (81.669)
Epoch: [74][6230/14090]	Time 0.772 (0.767)	Data 0.001 (0.002)	Loss 1.7478 (1.8258)	Prec@1 57.812 (52.194)	Prec@5 81.250 (81.668)
Epoch: [74][6240/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 1.6830 (1.8260)	Prec@1 57.812 (52.191)	Prec@5 82.031 (81.666)
Epoch: [74][6250/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 2.0010 (1.8262)	Prec@1 49.219 (52.186)	Prec@5 79.688 (81.662)
Epoch: [74][6260/14090]	Time 0.877 (0.767)	Data 0.001 (0.002)	Loss 1.7784 (1.8262)	Prec@1 53.125 (52.187)	Prec@5 81.250 (81.661)
Epoch: [74][6270/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 1.7070 (1.8262)	Prec@1 50.000 (52.183)	Prec@5 82.031 (81.660)
Epoch: [74][6280/14090]	Time 0.769 (0.767)	Data 0.001 (0.002)	Loss 1.9872 (1.8261)	Prec@1 53.906 (52.185)	Prec@5 79.688 (81.662)
Epoch: [74][6290/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 2.1867 (1.8261)	Prec@1 47.656 (52.185)	Prec@5 75.781 (81.662)
Epoch: [74][6300/14090]	Time 0.764 (0.767)	Data 0.001 (0.002)	Loss 1.8443 (1.8261)	Prec@1 57.812 (52.187)	Prec@5 81.250 (81.664)
Epoch: [74][6310/14090]	Time 0.727 (0.767)	Data 0.001 (0.002)	Loss 1.9292 (1.8261)	Prec@1 48.438 (52.184)	Prec@5 76.562 (81.663)
Epoch: [74][6320/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 1.9481 (1.8262)	Prec@1 48.438 (52.182)	Prec@5 78.906 (81.661)
Epoch: [74][6330/14090]	Time 0.933 (0.767)	Data 0.001 (0.002)	Loss 1.8914 (1.8262)	Prec@1 56.250 (52.182)	Prec@5 81.250 (81.660)
Epoch: [74][6340/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 1.9390 (1.8264)	Prec@1 50.000 (52.181)	Prec@5 79.688 (81.657)
Epoch: [74][6350/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 1.9560 (1.8264)	Prec@1 49.219 (52.181)	Prec@5 78.906 (81.656)
Epoch: [74][6360/14090]	Time 0.760 (0.767)	Data 0.001 (0.002)	Loss 2.1059 (1.8265)	Prec@1 42.969 (52.176)	Prec@5 79.688 (81.657)
Epoch: [74][6370/14090]	Time 0.760 (0.767)	Data 0.001 (0.002)	Loss 1.9257 (1.8264)	Prec@1 48.438 (52.176)	Prec@5 80.469 (81.659)
Epoch: [74][6380/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 1.9439 (1.8265)	Prec@1 47.656 (52.172)	Prec@5 82.031 (81.658)
Epoch: [74][6390/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 1.6971 (1.8265)	Prec@1 50.000 (52.172)	Prec@5 82.031 (81.658)
Epoch: [74][6400/14090]	Time 0.877 (0.767)	Data 0.001 (0.002)	Loss 1.7246 (1.8266)	Prec@1 58.594 (52.169)	Prec@5 83.594 (81.659)
Epoch: [74][6410/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 1.6705 (1.8266)	Prec@1 59.375 (52.170)	Prec@5 80.469 (81.659)
Epoch: [74][6420/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 1.7334 (1.8265)	Prec@1 49.219 (52.171)	Prec@5 80.469 (81.658)
Epoch: [74][6430/14090]	Time 0.725 (0.767)	Data 0.001 (0.002)	Loss 1.6885 (1.8265)	Prec@1 57.031 (52.172)	Prec@5 82.031 (81.660)
Epoch: [74][6440/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 1.6178 (1.8264)	Prec@1 59.375 (52.173)	Prec@5 82.812 (81.660)
Epoch: [74][6450/14090]	Time 0.776 (0.767)	Data 0.001 (0.002)	Loss 1.9614 (1.8264)	Prec@1 48.438 (52.173)	Prec@5 75.781 (81.658)
Epoch: [74][6460/14090]	Time 0.768 (0.767)	Data 0.001 (0.002)	Loss 2.0097 (1.8264)	Prec@1 41.406 (52.173)	Prec@5 76.562 (81.658)
Epoch: [74][6470/14090]	Time 0.875 (0.767)	Data 0.001 (0.002)	Loss 1.6531 (1.8263)	Prec@1 55.469 (52.176)	Prec@5 85.938 (81.658)
Epoch: [74][6480/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 1.9272 (1.8263)	Prec@1 47.656 (52.178)	Prec@5 78.125 (81.658)
Epoch: [74][6490/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 2.0908 (1.8264)	Prec@1 46.094 (52.176)	Prec@5 74.219 (81.658)
Epoch: [74][6500/14090]	Time 0.757 (0.767)	Data 0.001 (0.002)	Loss 1.4348 (1.8262)	Prec@1 65.625 (52.179)	Prec@5 86.719 (81.659)
Epoch: [74][6510/14090]	Time 0.723 (0.767)	Data 0.001 (0.002)	Loss 1.6332 (1.8262)	Prec@1 60.156 (52.181)	Prec@5 80.469 (81.659)
Epoch: [74][6520/14090]	Time 0.757 (0.767)	Data 0.001 (0.002)	Loss 1.7435 (1.8262)	Prec@1 50.781 (52.180)	Prec@5 84.375 (81.660)
Epoch: [74][6530/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 2.1066 (1.8262)	Prec@1 43.750 (52.179)	Prec@5 79.688 (81.659)
Epoch: [74][6540/14090]	Time 0.889 (0.767)	Data 0.001 (0.002)	Loss 1.8593 (1.8262)	Prec@1 53.906 (52.180)	Prec@5 83.594 (81.659)
Epoch: [74][6550/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 2.0924 (1.8262)	Prec@1 46.094 (52.178)	Prec@5 75.000 (81.659)
Epoch: [74][6560/14090]	Time 0.777 (0.767)	Data 0.001 (0.002)	Loss 2.0194 (1.8262)	Prec@1 50.000 (52.178)	Prec@5 78.125 (81.658)
Epoch: [74][6570/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 1.5991 (1.8262)	Prec@1 55.469 (52.179)	Prec@5 82.812 (81.658)
Epoch: [74][6580/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 1.7337 (1.8261)	Prec@1 55.469 (52.179)	Prec@5 79.688 (81.660)
Epoch: [74][6590/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 1.8373 (1.8262)	Prec@1 55.469 (52.177)	Prec@5 82.812 (81.659)
Epoch: [74][6600/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 1.7649 (1.8262)	Prec@1 55.469 (52.178)	Prec@5 85.156 (81.658)
Epoch: [74][6610/14090]	Time 0.878 (0.767)	Data 0.001 (0.002)	Loss 2.0064 (1.8264)	Prec@1 50.000 (52.174)	Prec@5 78.125 (81.655)
Epoch: [74][6620/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 1.8202 (1.8263)	Prec@1 51.562 (52.177)	Prec@5 79.688 (81.655)
Epoch: [74][6630/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 1.9805 (1.8262)	Prec@1 46.875 (52.179)	Prec@5 78.125 (81.657)
Epoch: [74][6640/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 1.6622 (1.8261)	Prec@1 53.906 (52.183)	Prec@5 84.375 (81.658)
Epoch: [74][6650/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 1.6319 (1.8261)	Prec@1 50.781 (52.183)	Prec@5 85.938 (81.658)
Epoch: [74][6660/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 1.8865 (1.8263)	Prec@1 53.906 (52.182)	Prec@5 81.250 (81.657)
Epoch: [74][6670/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 1.8170 (1.8263)	Prec@1 52.344 (52.183)	Prec@5 82.031 (81.657)
Epoch: [74][6680/14090]	Time 0.885 (0.767)	Data 0.001 (0.002)	Loss 1.9845 (1.8262)	Prec@1 49.219 (52.184)	Prec@5 78.906 (81.658)
Epoch: [74][6690/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 1.9969 (1.8262)	Prec@1 49.219 (52.183)	Prec@5 79.688 (81.659)
Epoch: [74][6700/14090]	Time 0.763 (0.767)	Data 0.001 (0.002)	Loss 1.8303 (1.8262)	Prec@1 50.000 (52.185)	Prec@5 79.688 (81.659)
Epoch: [74][6710/14090]	Time 0.727 (0.767)	Data 0.001 (0.002)	Loss 2.0496 (1.8263)	Prec@1 50.781 (52.183)	Prec@5 76.562 (81.655)
Epoch: [74][6720/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 1.6832 (1.8262)	Prec@1 57.031 (52.182)	Prec@5 85.938 (81.656)
Epoch: [74][6730/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 1.9699 (1.8262)	Prec@1 49.219 (52.185)	Prec@5 82.812 (81.657)
Epoch: [74][6740/14090]	Time 0.760 (0.767)	Data 0.001 (0.002)	Loss 1.8241 (1.8262)	Prec@1 57.812 (52.183)	Prec@5 80.469 (81.657)
Epoch: [74][6750/14090]	Time 0.866 (0.767)	Data 0.001 (0.002)	Loss 1.8131 (1.8262)	Prec@1 53.906 (52.184)	Prec@5 79.688 (81.656)
Epoch: [74][6760/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 1.7920 (1.8262)	Prec@1 57.031 (52.185)	Prec@5 81.250 (81.655)
Epoch: [74][6770/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 1.8980 (1.8263)	Prec@1 49.219 (52.182)	Prec@5 78.906 (81.650)
Epoch: [74][6780/14090]	Time 0.731 (0.767)	Data 0.001 (0.002)	Loss 1.6466 (1.8263)	Prec@1 55.469 (52.182)	Prec@5 86.719 (81.653)
Epoch: [74][6790/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 1.7988 (1.8265)	Prec@1 50.781 (52.176)	Prec@5 85.156 (81.651)
Epoch: [74][6800/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 1.8692 (1.8265)	Prec@1 50.000 (52.175)	Prec@5 78.906 (81.651)
Epoch: [74][6810/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 2.2656 (1.8266)	Prec@1 39.062 (52.174)	Prec@5 71.875 (81.648)
Epoch: [74][6820/14090]	Time 0.861 (0.767)	Data 0.001 (0.002)	Loss 1.7504 (1.8266)	Prec@1 47.656 (52.174)	Prec@5 82.812 (81.647)
Epoch: [74][6830/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 2.1327 (1.8266)	Prec@1 50.000 (52.175)	Prec@5 75.781 (81.646)
Epoch: [74][6840/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 1.7046 (1.8265)	Prec@1 55.469 (52.175)	Prec@5 82.031 (81.648)
Epoch: [74][6850/14090]	Time 0.747 (0.767)	Data 0.002 (0.002)	Loss 1.7097 (1.8266)	Prec@1 53.125 (52.171)	Prec@5 84.375 (81.648)
Epoch: [74][6860/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 1.9215 (1.8266)	Prec@1 54.688 (52.175)	Prec@5 79.688 (81.647)
Epoch: [74][6870/14090]	Time 0.731 (0.767)	Data 0.001 (0.002)	Loss 2.0479 (1.8266)	Prec@1 44.531 (52.174)	Prec@5 75.781 (81.645)
Epoch: [74][6880/14090]	Time 0.775 (0.767)	Data 0.001 (0.002)	Loss 1.7527 (1.8264)	Prec@1 53.125 (52.177)	Prec@5 86.719 (81.650)
Epoch: [74][6890/14090]	Time 0.872 (0.767)	Data 0.001 (0.002)	Loss 1.7972 (1.8263)	Prec@1 53.906 (52.176)	Prec@5 79.688 (81.650)
Epoch: [74][6900/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 1.8653 (1.8265)	Prec@1 56.250 (52.175)	Prec@5 82.031 (81.648)
Epoch: [74][6910/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 1.9800 (1.8264)	Prec@1 48.438 (52.176)	Prec@5 80.469 (81.650)
Epoch: [74][6920/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 1.8986 (1.8264)	Prec@1 48.438 (52.175)	Prec@5 80.469 (81.651)
Epoch: [74][6930/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 1.9220 (1.8264)	Prec@1 50.000 (52.173)	Prec@5 75.781 (81.649)
Epoch: [74][6940/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 2.0574 (1.8265)	Prec@1 42.188 (52.172)	Prec@5 78.906 (81.647)
Epoch: [74][6950/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 1.7533 (1.8267)	Prec@1 53.906 (52.168)	Prec@5 82.031 (81.645)
Epoch: [74][6960/14090]	Time 0.853 (0.767)	Data 0.001 (0.001)	Loss 1.6363 (1.8266)	Prec@1 59.375 (52.170)	Prec@5 86.719 (81.644)
Epoch: [74][6970/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 1.9073 (1.8265)	Prec@1 48.438 (52.170)	Prec@5 78.906 (81.645)
Epoch: [74][6980/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 1.8390 (1.8265)	Prec@1 51.562 (52.169)	Prec@5 81.250 (81.645)
Epoch: [74][6990/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 1.7486 (1.8265)	Prec@1 59.375 (52.173)	Prec@5 81.250 (81.645)
Epoch: [74][7000/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 1.5380 (1.8265)	Prec@1 57.812 (52.173)	Prec@5 89.062 (81.646)
Epoch: [74][7010/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 1.6223 (1.8264)	Prec@1 53.125 (52.175)	Prec@5 86.719 (81.646)
Epoch: [74][7020/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 1.7376 (1.8264)	Prec@1 51.562 (52.174)	Prec@5 82.031 (81.646)
Epoch: [74][7030/14090]	Time 0.900 (0.767)	Data 0.001 (0.001)	Loss 1.4964 (1.8264)	Prec@1 64.062 (52.174)	Prec@5 82.812 (81.645)
Epoch: [74][7040/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 1.7398 (1.8264)	Prec@1 53.906 (52.175)	Prec@5 82.031 (81.646)
Epoch: [74][7050/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 1.5835 (1.8262)	Prec@1 53.125 (52.179)	Prec@5 84.375 (81.647)
Epoch: [74][7060/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 2.0216 (1.8262)	Prec@1 50.000 (52.179)	Prec@5 78.906 (81.649)
Epoch: [74][7070/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 1.6817 (1.8262)	Prec@1 53.906 (52.181)	Prec@5 83.594 (81.649)
Epoch: [74][7080/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 1.8178 (1.8262)	Prec@1 51.562 (52.182)	Prec@5 78.906 (81.650)
Epoch: [74][7090/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 1.7869 (1.8261)	Prec@1 49.219 (52.181)	Prec@5 81.250 (81.651)
Epoch: [74][7100/14090]	Time 0.923 (0.767)	Data 0.001 (0.001)	Loss 1.9501 (1.8261)	Prec@1 49.219 (52.178)	Prec@5 78.906 (81.652)
Epoch: [74][7110/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 1.8294 (1.8260)	Prec@1 50.000 (52.183)	Prec@5 80.469 (81.655)
Epoch: [74][7120/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 1.8916 (1.8260)	Prec@1 47.656 (52.182)	Prec@5 80.469 (81.655)
Epoch: [74][7130/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 1.8271 (1.8260)	Prec@1 54.688 (52.181)	Prec@5 82.812 (81.654)
Epoch: [74][7140/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 2.1113 (1.8261)	Prec@1 47.656 (52.178)	Prec@5 78.906 (81.655)
Epoch: [74][7150/14090]	Time 0.725 (0.767)	Data 0.001 (0.001)	Loss 1.7366 (1.8261)	Prec@1 57.031 (52.178)	Prec@5 80.469 (81.655)
Epoch: [74][7160/14090]	Time 0.766 (0.767)	Data 0.001 (0.001)	Loss 1.8870 (1.8262)	Prec@1 46.875 (52.175)	Prec@5 82.031 (81.655)
Epoch: [74][7170/14090]	Time 0.870 (0.767)	Data 0.001 (0.001)	Loss 1.5607 (1.8261)	Prec@1 56.250 (52.179)	Prec@5 88.281 (81.657)
Epoch: [74][7180/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 1.6440 (1.8261)	Prec@1 57.812 (52.180)	Prec@5 84.375 (81.656)
Epoch: [74][7190/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 2.0147 (1.8261)	Prec@1 55.469 (52.180)	Prec@5 76.562 (81.658)
Epoch: [74][7200/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 1.5870 (1.8260)	Prec@1 54.688 (52.181)	Prec@5 84.375 (81.658)
Epoch: [74][7210/14090]	Time 0.791 (0.767)	Data 0.001 (0.001)	Loss 1.8802 (1.8260)	Prec@1 52.344 (52.180)	Prec@5 81.250 (81.659)
Epoch: [74][7220/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 1.6289 (1.8261)	Prec@1 60.156 (52.178)	Prec@5 82.812 (81.657)
Epoch: [74][7230/14090]	Time 0.729 (0.767)	Data 0.002 (0.001)	Loss 2.2442 (1.8262)	Prec@1 37.500 (52.173)	Prec@5 72.656 (81.655)
Epoch: [74][7240/14090]	Time 0.867 (0.767)	Data 0.001 (0.001)	Loss 1.6623 (1.8261)	Prec@1 53.125 (52.177)	Prec@5 88.281 (81.656)
Epoch: [74][7250/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 1.5780 (1.8262)	Prec@1 60.156 (52.175)	Prec@5 82.812 (81.654)
Epoch: [74][7260/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 1.8062 (1.8262)	Prec@1 53.906 (52.173)	Prec@5 82.031 (81.655)
Epoch: [74][7270/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 1.6519 (1.8262)	Prec@1 58.594 (52.171)	Prec@5 83.594 (81.655)
Epoch: [74][7280/14090]	Time 0.775 (0.767)	Data 0.001 (0.001)	Loss 1.8518 (1.8262)	Prec@1 53.906 (52.175)	Prec@5 80.469 (81.655)
Epoch: [74][7290/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 1.7306 (1.8261)	Prec@1 53.125 (52.177)	Prec@5 85.156 (81.657)
Epoch: [74][7300/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 1.6350 (1.8261)	Prec@1 60.156 (52.177)	Prec@5 83.594 (81.655)
Epoch: [74][7310/14090]	Time 0.877 (0.767)	Data 0.001 (0.001)	Loss 1.7143 (1.8261)	Prec@1 60.156 (52.177)	Prec@5 82.812 (81.656)
Epoch: [74][7320/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 1.8136 (1.8260)	Prec@1 53.125 (52.179)	Prec@5 82.031 (81.658)
Epoch: [74][7330/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 1.6837 (1.8259)	Prec@1 58.594 (52.182)	Prec@5 83.594 (81.658)
Epoch: [74][7340/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 1.8102 (1.8258)	Prec@1 55.469 (52.184)	Prec@5 82.031 (81.660)
Epoch: [74][7350/14090]	Time 0.764 (0.767)	Data 0.001 (0.001)	Loss 1.8604 (1.8259)	Prec@1 51.562 (52.183)	Prec@5 81.250 (81.658)
Epoch: [74][7360/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 1.8259 (1.8259)	Prec@1 49.219 (52.182)	Prec@5 82.031 (81.657)
Epoch: [74][7370/14090]	Time 0.723 (0.767)	Data 0.001 (0.001)	Loss 2.0185 (1.8259)	Prec@1 48.438 (52.181)	Prec@5 79.688 (81.657)
Epoch: [74][7380/14090]	Time 0.897 (0.767)	Data 0.001 (0.001)	Loss 1.6228 (1.8258)	Prec@1 55.469 (52.183)	Prec@5 85.156 (81.659)
Epoch: [74][7390/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 1.6604 (1.8259)	Prec@1 55.469 (52.177)	Prec@5 82.031 (81.657)
Epoch: [74][7400/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.1307 (1.8261)	Prec@1 51.562 (52.175)	Prec@5 74.219 (81.655)
Epoch: [74][7410/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 2.0880 (1.8261)	Prec@1 46.875 (52.176)	Prec@5 74.219 (81.654)
Epoch: [74][7420/14090]	Time 0.786 (0.767)	Data 0.001 (0.001)	Loss 1.7648 (1.8261)	Prec@1 55.469 (52.176)	Prec@5 83.594 (81.654)
Epoch: [74][7430/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 1.9925 (1.8260)	Prec@1 53.125 (52.178)	Prec@5 76.562 (81.654)
Epoch: [74][7440/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 1.8449 (1.8260)	Prec@1 53.906 (52.179)	Prec@5 78.125 (81.654)
Epoch: [74][7450/14090]	Time 0.875 (0.767)	Data 0.001 (0.001)	Loss 1.8151 (1.8260)	Prec@1 49.219 (52.178)	Prec@5 82.031 (81.652)
Epoch: [74][7460/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 1.6317 (1.8261)	Prec@1 56.250 (52.176)	Prec@5 87.500 (81.653)
Epoch: [74][7470/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 1.8552 (1.8260)	Prec@1 53.906 (52.177)	Prec@5 82.812 (81.654)
Epoch: [74][7480/14090]	Time 0.771 (0.767)	Data 0.001 (0.001)	Loss 1.8749 (1.8260)	Prec@1 52.344 (52.178)	Prec@5 82.031 (81.654)
Epoch: [74][7490/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 1.9358 (1.8261)	Prec@1 50.000 (52.177)	Prec@5 79.688 (81.653)
Epoch: [74][7500/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 1.6484 (1.8260)	Prec@1 53.125 (52.179)	Prec@5 84.375 (81.654)
Epoch: [74][7510/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 1.5898 (1.8259)	Prec@1 60.938 (52.177)	Prec@5 81.250 (81.656)
Epoch: [74][7520/14090]	Time 0.861 (0.767)	Data 0.001 (0.001)	Loss 1.9532 (1.8260)	Prec@1 46.094 (52.178)	Prec@5 82.812 (81.655)
Epoch: [74][7530/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 1.8949 (1.8260)	Prec@1 54.688 (52.177)	Prec@5 75.000 (81.653)
Epoch: [74][7540/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 1.8758 (1.8261)	Prec@1 46.094 (52.175)	Prec@5 81.250 (81.651)
Epoch: [74][7550/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 1.6918 (1.8260)	Prec@1 54.688 (52.179)	Prec@5 85.156 (81.652)
Epoch: [74][7560/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 2.0620 (1.8260)	Prec@1 43.750 (52.177)	Prec@5 75.000 (81.654)
Epoch: [74][7570/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 1.8494 (1.8260)	Prec@1 53.125 (52.173)	Prec@5 79.688 (81.652)
Epoch: [74][7580/14090]	Time 0.784 (0.767)	Data 0.001 (0.001)	Loss 1.8029 (1.8260)	Prec@1 53.906 (52.175)	Prec@5 87.500 (81.654)
Epoch: [74][7590/14090]	Time 0.883 (0.767)	Data 0.001 (0.001)	Loss 1.9944 (1.8260)	Prec@1 46.094 (52.175)	Prec@5 83.594 (81.654)
Epoch: [74][7600/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 2.0439 (1.8260)	Prec@1 50.000 (52.174)	Prec@5 80.469 (81.654)
Epoch: [74][7610/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 1.8638 (1.8260)	Prec@1 57.031 (52.173)	Prec@5 83.594 (81.653)
Epoch: [74][7620/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 1.9489 (1.8261)	Prec@1 53.125 (52.173)	Prec@5 77.344 (81.653)
Epoch: [74][7630/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 1.7179 (1.8259)	Prec@1 58.594 (52.177)	Prec@5 82.812 (81.656)
Epoch: [74][7640/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 1.7004 (1.8260)	Prec@1 57.031 (52.175)	Prec@5 85.938 (81.654)
Epoch: [74][7650/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 1.9040 (1.8260)	Prec@1 51.562 (52.176)	Prec@5 77.344 (81.653)
Epoch: [74][7660/14090]	Time 0.913 (0.767)	Data 0.001 (0.001)	Loss 1.9249 (1.8262)	Prec@1 46.875 (52.173)	Prec@5 80.469 (81.651)
Epoch: [74][7670/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 1.9288 (1.8262)	Prec@1 46.094 (52.173)	Prec@5 78.906 (81.649)
Epoch: [74][7680/14090]	Time 0.763 (0.767)	Data 0.001 (0.001)	Loss 2.1215 (1.8262)	Prec@1 46.094 (52.171)	Prec@5 74.219 (81.650)
Epoch: [74][7690/14090]	Time 0.809 (0.767)	Data 0.001 (0.001)	Loss 2.0983 (1.8263)	Prec@1 47.656 (52.169)	Prec@5 75.000 (81.647)
Epoch: [74][7700/14090]	Time 0.769 (0.767)	Data 0.001 (0.001)	Loss 1.8597 (1.8261)	Prec@1 53.906 (52.172)	Prec@5 82.031 (81.650)
Epoch: [74][7710/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 1.6198 (1.8261)	Prec@1 57.031 (52.172)	Prec@5 85.156 (81.650)
Epoch: [74][7720/14090]	Time 0.773 (0.767)	Data 0.001 (0.001)	Loss 1.6034 (1.8261)	Prec@1 60.156 (52.174)	Prec@5 84.375 (81.649)
Epoch: [74][7730/14090]	Time 0.877 (0.767)	Data 0.004 (0.001)	Loss 1.7733 (1.8261)	Prec@1 53.125 (52.175)	Prec@5 83.594 (81.649)
Epoch: [74][7740/14090]	Time 0.781 (0.767)	Data 0.001 (0.001)	Loss 1.8471 (1.8260)	Prec@1 53.125 (52.176)	Prec@5 84.375 (81.649)
Epoch: [74][7750/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 1.8194 (1.8260)	Prec@1 50.781 (52.176)	Prec@5 81.250 (81.650)
Epoch: [74][7760/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 1.8728 (1.8261)	Prec@1 47.656 (52.174)	Prec@5 78.906 (81.646)
Epoch: [74][7770/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 1.7306 (1.8261)	Prec@1 56.250 (52.174)	Prec@5 79.688 (81.646)
Epoch: [74][7780/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 1.7901 (1.8261)	Prec@1 48.438 (52.173)	Prec@5 77.344 (81.645)
Epoch: [74][7790/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 2.0823 (1.8262)	Prec@1 41.406 (52.171)	Prec@5 72.656 (81.643)
Epoch: [74][7800/14090]	Time 1.016 (0.767)	Data 0.001 (0.001)	Loss 1.8337 (1.8262)	Prec@1 52.344 (52.168)	Prec@5 78.125 (81.640)
Epoch: [74][7810/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 1.8413 (1.8262)	Prec@1 52.344 (52.169)	Prec@5 82.812 (81.641)
Epoch: [74][7820/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 1.8317 (1.8263)	Prec@1 55.469 (52.169)	Prec@5 82.812 (81.639)
Epoch: [74][7830/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 1.5798 (1.8261)	Prec@1 60.156 (52.172)	Prec@5 89.062 (81.642)
Epoch: [74][7840/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 1.6734 (1.8260)	Prec@1 52.344 (52.174)	Prec@5 79.688 (81.644)
Epoch: [74][7850/14090]	Time 0.763 (0.767)	Data 0.001 (0.001)	Loss 2.0938 (1.8259)	Prec@1 43.750 (52.173)	Prec@5 75.781 (81.644)
Epoch: [74][7860/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 1.7713 (1.8259)	Prec@1 57.031 (52.175)	Prec@5 83.594 (81.645)
Epoch: [74][7870/14090]	Time 0.857 (0.767)	Data 0.001 (0.001)	Loss 1.7181 (1.8259)	Prec@1 50.781 (52.176)	Prec@5 85.156 (81.644)
Epoch: [74][7880/14090]	Time 0.722 (0.767)	Data 0.001 (0.001)	Loss 1.8590 (1.8259)	Prec@1 50.781 (52.176)	Prec@5 82.812 (81.645)
Epoch: [74][7890/14090]	Time 0.764 (0.767)	Data 0.001 (0.001)	Loss 1.7409 (1.8260)	Prec@1 51.562 (52.175)	Prec@5 86.719 (81.645)
Epoch: [74][7900/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 1.7726 (1.8260)	Prec@1 53.906 (52.174)	Prec@5 85.938 (81.643)
Epoch: [74][7910/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 1.6403 (1.8260)	Prec@1 56.250 (52.173)	Prec@5 82.812 (81.644)
Epoch: [74][7920/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 2.0992 (1.8260)	Prec@1 47.656 (52.171)	Prec@5 75.781 (81.643)
Epoch: [74][7930/14090]	Time 0.777 (0.767)	Data 0.001 (0.001)	Loss 1.9659 (1.8260)	Prec@1 50.781 (52.170)	Prec@5 79.688 (81.644)
Epoch: [74][7940/14090]	Time 0.921 (0.767)	Data 0.001 (0.001)	Loss 2.0260 (1.8261)	Prec@1 47.656 (52.170)	Prec@5 76.562 (81.643)
Epoch: [74][7950/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 1.8136 (1.8261)	Prec@1 55.469 (52.170)	Prec@5 85.156 (81.645)
Epoch: [74][7960/14090]	Time 0.725 (0.767)	Data 0.001 (0.001)	Loss 1.9888 (1.8262)	Prec@1 52.344 (52.171)	Prec@5 78.906 (81.645)
Epoch: [74][7970/14090]	Time 0.777 (0.767)	Data 0.001 (0.001)	Loss 1.9045 (1.8261)	Prec@1 48.438 (52.171)	Prec@5 78.125 (81.647)
Epoch: [74][7980/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 1.7900 (1.8261)	Prec@1 55.469 (52.171)	Prec@5 79.688 (81.647)
Epoch: [74][7990/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 1.7626 (1.8260)	Prec@1 52.344 (52.174)	Prec@5 84.375 (81.648)
Epoch: [74][8000/14090]	Time 0.779 (0.767)	Data 0.001 (0.001)	Loss 1.8245 (1.8259)	Prec@1 53.125 (52.176)	Prec@5 83.594 (81.649)
Epoch: [74][8010/14090]	Time 0.849 (0.767)	Data 0.001 (0.001)	Loss 1.7432 (1.8259)	Prec@1 45.312 (52.178)	Prec@5 82.031 (81.651)
Epoch: [74][8020/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 2.0211 (1.8259)	Prec@1 43.750 (52.175)	Prec@5 75.781 (81.649)
Epoch: [74][8030/14090]	Time 0.773 (0.767)	Data 0.001 (0.001)	Loss 1.9151 (1.8260)	Prec@1 50.781 (52.172)	Prec@5 78.125 (81.647)
Epoch: [74][8040/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 1.9928 (1.8261)	Prec@1 53.125 (52.170)	Prec@5 76.562 (81.644)
Epoch: [74][8050/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 1.9238 (1.8261)	Prec@1 47.656 (52.170)	Prec@5 84.375 (81.644)
Epoch: [74][8060/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 1.7939 (1.8261)	Prec@1 54.688 (52.169)	Prec@5 81.250 (81.644)
Epoch: [74][8070/14090]	Time 0.725 (0.767)	Data 0.001 (0.001)	Loss 2.0792 (1.8261)	Prec@1 49.219 (52.168)	Prec@5 75.781 (81.643)
Epoch: [74][8080/14090]	Time 0.834 (0.767)	Data 0.001 (0.001)	Loss 1.7831 (1.8262)	Prec@1 58.594 (52.167)	Prec@5 82.031 (81.641)
Epoch: [74][8090/14090]	Time 0.767 (0.767)	Data 0.001 (0.001)	Loss 2.0746 (1.8262)	Prec@1 47.656 (52.167)	Prec@5 78.906 (81.642)
Epoch: [74][8100/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 1.4858 (1.8261)	Prec@1 60.938 (52.170)	Prec@5 85.938 (81.643)
Epoch: [74][8110/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 1.8772 (1.8261)	Prec@1 39.844 (52.169)	Prec@5 85.156 (81.643)
Epoch: [74][8120/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 1.7997 (1.8261)	Prec@1 56.250 (52.171)	Prec@5 75.000 (81.641)
Epoch: [74][8130/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 1.9236 (1.8261)	Prec@1 46.875 (52.172)	Prec@5 82.812 (81.642)
Epoch: [74][8140/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 1.7371 (1.8260)	Prec@1 57.031 (52.173)	Prec@5 78.906 (81.642)
Epoch: [74][8150/14090]	Time 0.900 (0.767)	Data 0.001 (0.001)	Loss 1.9230 (1.8260)	Prec@1 49.219 (52.174)	Prec@5 82.031 (81.644)
Epoch: [74][8160/14090]	Time 0.722 (0.767)	Data 0.001 (0.001)	Loss 1.5785 (1.8260)	Prec@1 57.812 (52.174)	Prec@5 86.719 (81.643)
Epoch: [74][8170/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 1.7071 (1.8260)	Prec@1 51.562 (52.174)	Prec@5 85.156 (81.644)
Epoch: [74][8180/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 1.8928 (1.8260)	Prec@1 52.344 (52.176)	Prec@5 82.812 (81.646)
Epoch: [74][8190/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 1.9683 (1.8259)	Prec@1 49.219 (52.176)	Prec@5 77.344 (81.647)
Epoch: [74][8200/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 1.8652 (1.8259)	Prec@1 51.562 (52.177)	Prec@5 81.250 (81.648)
Epoch: [74][8210/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 1.8073 (1.8259)	Prec@1 54.688 (52.176)	Prec@5 80.469 (81.647)
Epoch: [74][8220/14090]	Time 0.872 (0.767)	Data 0.001 (0.001)	Loss 1.8505 (1.8259)	Prec@1 51.562 (52.177)	Prec@5 79.688 (81.648)
Epoch: [74][8230/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 1.7110 (1.8259)	Prec@1 53.125 (52.177)	Prec@5 85.938 (81.649)
Epoch: [74][8240/14090]	Time 0.764 (0.767)	Data 0.001 (0.001)	Loss 1.3974 (1.8258)	Prec@1 59.375 (52.179)	Prec@5 90.625 (81.650)
Epoch: [74][8250/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 1.4240 (1.8259)	Prec@1 58.594 (52.178)	Prec@5 90.625 (81.649)
Epoch: [74][8260/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.0745 (1.8259)	Prec@1 50.000 (52.178)	Prec@5 75.000 (81.649)
Epoch: [74][8270/14090]	Time 0.725 (0.767)	Data 0.001 (0.001)	Loss 1.7876 (1.8258)	Prec@1 53.125 (52.178)	Prec@5 78.906 (81.647)
Epoch: [74][8280/14090]	Time 0.769 (0.767)	Data 0.001 (0.001)	Loss 1.8223 (1.8258)	Prec@1 47.656 (52.179)	Prec@5 82.812 (81.648)
Epoch: [74][8290/14090]	Time 0.902 (0.767)	Data 0.001 (0.001)	Loss 1.6957 (1.8258)	Prec@1 54.688 (52.179)	Prec@5 82.031 (81.647)
Epoch: [74][8300/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 1.7393 (1.8258)	Prec@1 51.562 (52.179)	Prec@5 85.156 (81.647)
Epoch: [74][8310/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 1.6475 (1.8257)	Prec@1 50.000 (52.179)	Prec@5 83.594 (81.648)
Epoch: [74][8320/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 1.6431 (1.8258)	Prec@1 53.906 (52.178)	Prec@5 82.031 (81.647)
Epoch: [74][8330/14090]	Time 0.766 (0.767)	Data 0.001 (0.001)	Loss 1.8316 (1.8258)	Prec@1 51.562 (52.176)	Prec@5 85.156 (81.648)
Epoch: [74][8340/14090]	Time 0.768 (0.767)	Data 0.001 (0.001)	Loss 1.9700 (1.8258)	Prec@1 43.750 (52.175)	Prec@5 82.812 (81.649)
Epoch: [74][8350/14090]	Time 0.723 (0.767)	Data 0.001 (0.001)	Loss 1.8223 (1.8259)	Prec@1 46.875 (52.172)	Prec@5 89.062 (81.649)
Epoch: [74][8360/14090]	Time 0.944 (0.767)	Data 0.001 (0.001)	Loss 1.7349 (1.8259)	Prec@1 50.000 (52.172)	Prec@5 80.469 (81.649)
Epoch: [74][8370/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 1.8541 (1.8259)	Prec@1 55.469 (52.172)	Prec@5 79.688 (81.649)
Epoch: [74][8380/14090]	Time 0.769 (0.767)	Data 0.002 (0.001)	Loss 1.8829 (1.8259)	Prec@1 49.219 (52.171)	Prec@5 85.938 (81.650)
Epoch: [74][8390/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.0303 (1.8259)	Prec@1 48.438 (52.171)	Prec@5 75.781 (81.649)
Epoch: [74][8400/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 1.6490 (1.8259)	Prec@1 54.688 (52.171)	Prec@5 83.594 (81.651)
Epoch: [74][8410/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 1.9390 (1.8259)	Prec@1 46.875 (52.170)	Prec@5 77.344 (81.650)
Epoch: [74][8420/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 1.7217 (1.8259)	Prec@1 54.688 (52.170)	Prec@5 82.812 (81.651)
Epoch: [74][8430/14090]	Time 0.848 (0.767)	Data 0.001 (0.001)	Loss 1.5293 (1.8258)	Prec@1 57.031 (52.171)	Prec@5 88.281 (81.652)
Epoch: [74][8440/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 1.9578 (1.8258)	Prec@1 51.562 (52.173)	Prec@5 79.688 (81.654)
Epoch: [74][8450/14090]	Time 0.721 (0.767)	Data 0.001 (0.001)	Loss 1.7818 (1.8259)	Prec@1 53.125 (52.171)	Prec@5 82.812 (81.655)
Epoch: [74][8460/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 1.9866 (1.8257)	Prec@1 51.562 (52.173)	Prec@5 81.250 (81.656)
Epoch: [74][8470/14090]	Time 0.775 (0.767)	Data 0.001 (0.001)	Loss 1.8118 (1.8259)	Prec@1 50.781 (52.170)	Prec@5 81.250 (81.654)
Epoch: [74][8480/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 1.8077 (1.8259)	Prec@1 46.875 (52.171)	Prec@5 81.250 (81.653)
Epoch: [74][8490/14090]	Time 0.786 (0.767)	Data 0.001 (0.001)	Loss 1.8699 (1.8259)	Prec@1 49.219 (52.171)	Prec@5 81.250 (81.653)
Epoch: [74][8500/14090]	Time 0.859 (0.767)	Data 0.002 (0.001)	Loss 1.7287 (1.8259)	Prec@1 53.906 (52.169)	Prec@5 81.250 (81.652)
Epoch: [74][8510/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 2.1497 (1.8260)	Prec@1 47.656 (52.169)	Prec@5 73.438 (81.651)
Epoch: [74][8520/14090]	Time 0.774 (0.767)	Data 0.001 (0.001)	Loss 1.7015 (1.8259)	Prec@1 55.469 (52.171)	Prec@5 86.719 (81.652)
Epoch: [74][8530/14090]	Time 0.765 (0.767)	Data 0.002 (0.001)	Loss 1.8112 (1.8259)	Prec@1 53.125 (52.171)	Prec@5 79.688 (81.650)
Epoch: [74][8540/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 1.6920 (1.8259)	Prec@1 53.906 (52.171)	Prec@5 79.688 (81.650)
Epoch: [74][8550/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 1.8762 (1.8260)	Prec@1 46.875 (52.170)	Prec@5 79.688 (81.648)
Epoch: [74][8560/14090]	Time 0.774 (0.767)	Data 0.001 (0.001)	Loss 1.4962 (1.8259)	Prec@1 63.281 (52.171)	Prec@5 85.938 (81.651)
Epoch: [74][8570/14090]	Time 0.875 (0.767)	Data 0.001 (0.001)	Loss 1.9072 (1.8259)	Prec@1 46.094 (52.170)	Prec@5 82.812 (81.650)
Epoch: [74][8580/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 1.9141 (1.8260)	Prec@1 48.438 (52.170)	Prec@5 78.906 (81.649)
Epoch: [74][8590/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 1.7742 (1.8259)	Prec@1 51.562 (52.171)	Prec@5 83.594 (81.649)
Epoch: [74][8600/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 1.9705 (1.8259)	Prec@1 52.344 (52.171)	Prec@5 76.562 (81.648)
Epoch: [74][8610/14090]	Time 0.772 (0.767)	Data 0.001 (0.001)	Loss 1.8074 (1.8259)	Prec@1 54.688 (52.173)	Prec@5 83.594 (81.649)
Epoch: [74][8620/14090]	Time 0.722 (0.767)	Data 0.001 (0.001)	Loss 1.9087 (1.8260)	Prec@1 50.000 (52.172)	Prec@5 85.156 (81.649)
Epoch: [74][8630/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 2.1251 (1.8260)	Prec@1 46.875 (52.172)	Prec@5 78.125 (81.647)
Epoch: [74][8640/14090]	Time 1.016 (0.767)	Data 0.001 (0.001)	Loss 1.9157 (1.8261)	Prec@1 50.000 (52.170)	Prec@5 82.031 (81.646)
Epoch: [74][8650/14090]	Time 0.773 (0.767)	Data 0.001 (0.001)	Loss 1.8418 (1.8261)	Prec@1 50.000 (52.169)	Prec@5 80.469 (81.645)
Epoch: [74][8660/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 1.6276 (1.8262)	Prec@1 51.562 (52.170)	Prec@5 89.844 (81.645)
Epoch: [74][8670/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 2.1028 (1.8261)	Prec@1 47.656 (52.171)	Prec@5 72.656 (81.645)
Epoch: [74][8680/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 1.8105 (1.8260)	Prec@1 53.906 (52.174)	Prec@5 83.594 (81.647)
Epoch: [74][8690/14090]	Time 0.724 (0.767)	Data 0.001 (0.001)	Loss 1.9117 (1.8261)	Prec@1 52.344 (52.171)	Prec@5 81.250 (81.647)
Epoch: [74][8700/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 1.7625 (1.8261)	Prec@1 57.031 (52.173)	Prec@5 83.594 (81.647)
Epoch: [74][8710/14090]	Time 0.883 (0.767)	Data 0.001 (0.001)	Loss 1.8746 (1.8261)	Prec@1 53.906 (52.174)	Prec@5 81.250 (81.648)
Epoch: [74][8720/14090]	Time 0.782 (0.767)	Data 0.001 (0.001)	Loss 1.5079 (1.8261)	Prec@1 65.625 (52.174)	Prec@5 85.938 (81.646)
Epoch: [74][8730/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 1.9456 (1.8261)	Prec@1 46.094 (52.172)	Prec@5 78.906 (81.646)
Epoch: [74][8740/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 1.8447 (1.8261)	Prec@1 50.781 (52.175)	Prec@5 80.469 (81.646)
Epoch: [74][8750/14090]	Time 0.785 (0.767)	Data 0.001 (0.001)	Loss 1.7283 (1.8261)	Prec@1 57.031 (52.175)	Prec@5 79.688 (81.647)
Epoch: [74][8760/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 1.6321 (1.8260)	Prec@1 50.781 (52.176)	Prec@5 86.719 (81.646)
Epoch: [74][8770/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 1.8728 (1.8261)	Prec@1 51.562 (52.174)	Prec@5 79.688 (81.645)
Epoch: [74][8780/14090]	Time 0.884 (0.767)	Data 0.001 (0.001)	Loss 1.6872 (1.8260)	Prec@1 57.812 (52.175)	Prec@5 86.719 (81.646)
Epoch: [74][8790/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 1.9228 (1.8261)	Prec@1 48.438 (52.174)	Prec@5 77.344 (81.646)
Epoch: [74][8800/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 1.6026 (1.8260)	Prec@1 56.250 (52.175)	Prec@5 88.281 (81.649)
Epoch: [74][8810/14090]	Time 0.775 (0.767)	Data 0.001 (0.001)	Loss 1.9198 (1.8260)	Prec@1 50.781 (52.177)	Prec@5 82.812 (81.650)
Epoch: [74][8820/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 1.9333 (1.8260)	Prec@1 50.781 (52.175)	Prec@5 78.906 (81.649)
Epoch: [74][8830/14090]	Time 0.748 (0.767)	Data 0.002 (0.001)	Loss 1.8866 (1.8260)	Prec@1 52.344 (52.175)	Prec@5 80.469 (81.648)
Epoch: [74][8840/14090]	Time 0.775 (0.767)	Data 0.001 (0.001)	Loss 1.7204 (1.8260)	Prec@1 53.906 (52.175)	Prec@5 85.156 (81.648)
Epoch: [74][8850/14090]	Time 0.870 (0.767)	Data 0.001 (0.001)	Loss 2.0064 (1.8261)	Prec@1 46.094 (52.174)	Prec@5 76.562 (81.648)
Epoch: [74][8860/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 1.9665 (1.8260)	Prec@1 45.312 (52.174)	Prec@5 78.906 (81.650)
Epoch: [74][8870/14090]	Time 0.778 (0.767)	Data 0.001 (0.001)	Loss 1.5819 (1.8260)	Prec@1 63.281 (52.176)	Prec@5 83.594 (81.650)
Epoch: [74][8880/14090]	Time 0.726 (0.767)	Data 0.001 (0.001)	Loss 1.8659 (1.8260)	Prec@1 50.781 (52.176)	Prec@5 81.250 (81.651)
Epoch: [74][8890/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 2.0227 (1.8260)	Prec@1 46.875 (52.178)	Prec@5 80.469 (81.652)
Epoch: [74][8900/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 2.0678 (1.8260)	Prec@1 46.094 (52.180)	Prec@5 75.000 (81.650)
Epoch: [74][8910/14090]	Time 0.764 (0.767)	Data 0.001 (0.001)	Loss 1.8949 (1.8260)	Prec@1 52.344 (52.181)	Prec@5 78.125 (81.650)
Epoch: [74][8920/14090]	Time 0.835 (0.767)	Data 0.001 (0.001)	Loss 1.6600 (1.8260)	Prec@1 60.156 (52.182)	Prec@5 81.250 (81.649)
Epoch: [74][8930/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 1.8102 (1.8260)	Prec@1 49.219 (52.182)	Prec@5 82.031 (81.648)
Epoch: [74][8940/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 1.8470 (1.8260)	Prec@1 50.781 (52.181)	Prec@5 82.812 (81.649)
Epoch: [74][8950/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 1.9991 (1.8260)	Prec@1 45.312 (52.183)	Prec@5 79.688 (81.650)
Epoch: [74][8960/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 1.8115 (1.8260)	Prec@1 50.781 (52.184)	Prec@5 85.938 (81.652)
Epoch: [74][8970/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 1.9435 (1.8261)	Prec@1 46.875 (52.181)	Prec@5 78.125 (81.651)
Epoch: [74][8980/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 1.7989 (1.8261)	Prec@1 57.031 (52.179)	Prec@5 82.031 (81.650)
Epoch: [74][8990/14090]	Time 0.940 (0.767)	Data 0.001 (0.001)	Loss 2.1210 (1.8262)	Prec@1 51.562 (52.178)	Prec@5 77.344 (81.650)
Epoch: [74][9000/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 1.7941 (1.8261)	Prec@1 53.125 (52.178)	Prec@5 80.469 (81.650)
Epoch: [74][9010/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 2.0929 (1.8262)	Prec@1 50.781 (52.177)	Prec@5 77.344 (81.648)
Epoch: [74][9020/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 1.7733 (1.8261)	Prec@1 53.125 (52.179)	Prec@5 78.125 (81.649)
Epoch: [74][9030/14090]	Time 0.781 (0.767)	Data 0.001 (0.001)	Loss 1.6818 (1.8261)	Prec@1 54.688 (52.181)	Prec@5 86.719 (81.649)
Epoch: [74][9040/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 1.6125 (1.8261)	Prec@1 55.469 (52.181)	Prec@5 85.156 (81.649)
Epoch: [74][9050/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 1.6808 (1.8262)	Prec@1 58.594 (52.180)	Prec@5 85.156 (81.648)
Epoch: [74][9060/14090]	Time 0.896 (0.767)	Data 0.001 (0.001)	Loss 1.7266 (1.8261)	Prec@1 54.688 (52.180)	Prec@5 86.719 (81.648)
Epoch: [74][9070/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 1.9257 (1.8262)	Prec@1 53.906 (52.181)	Prec@5 77.344 (81.648)
Epoch: [74][9080/14090]	Time 0.765 (0.767)	Data 0.001 (0.001)	Loss 1.9428 (1.8262)	Prec@1 53.125 (52.182)	Prec@5 80.469 (81.648)
Epoch: [74][9090/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 1.6324 (1.8261)	Prec@1 57.812 (52.183)	Prec@5 85.156 (81.648)
Epoch: [74][9100/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 1.7997 (1.8261)	Prec@1 48.438 (52.183)	Prec@5 81.250 (81.650)
Epoch: [74][9110/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 1.8369 (1.8262)	Prec@1 51.562 (52.182)	Prec@5 80.469 (81.649)
Epoch: [74][9120/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 1.5264 (1.8261)	Prec@1 54.688 (52.183)	Prec@5 89.844 (81.650)
Epoch: [74][9130/14090]	Time 0.901 (0.767)	Data 0.001 (0.001)	Loss 1.6020 (1.8261)	Prec@1 57.031 (52.181)	Prec@5 85.938 (81.650)
Epoch: [74][9140/14090]	Time 0.727 (0.767)	Data 0.001 (0.001)	Loss 1.7987 (1.8261)	Prec@1 51.562 (52.181)	Prec@5 79.688 (81.649)
Epoch: [74][9150/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 1.8735 (1.8261)	Prec@1 54.688 (52.181)	Prec@5 80.469 (81.649)
Epoch: [74][9160/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 1.8288 (1.8262)	Prec@1 53.125 (52.179)	Prec@5 79.688 (81.649)
Epoch: [74][9170/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 1.4866 (1.8261)	Prec@1 57.812 (52.183)	Prec@5 85.938 (81.650)
Epoch: [74][9180/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 1.6012 (1.8260)	Prec@1 58.594 (52.184)	Prec@5 85.938 (81.651)
Epoch: [74][9190/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 1.6793 (1.8260)	Prec@1 58.594 (52.185)	Prec@5 84.375 (81.651)
Epoch: [74][9200/14090]	Time 0.870 (0.767)	Data 0.001 (0.001)	Loss 1.6589 (1.8259)	Prec@1 60.938 (52.188)	Prec@5 84.375 (81.651)
Epoch: [74][9210/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 1.7606 (1.8260)	Prec@1 44.531 (52.186)	Prec@5 82.812 (81.651)
Epoch: [74][9220/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 1.9432 (1.8260)	Prec@1 45.312 (52.187)	Prec@5 79.688 (81.650)
Epoch: [74][9230/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 1.6589 (1.8260)	Prec@1 56.250 (52.187)	Prec@5 85.156 (81.652)
Epoch: [74][9240/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 1.8141 (1.8260)	Prec@1 51.562 (52.186)	Prec@5 83.594 (81.651)
Epoch: [74][9250/14090]	Time 0.771 (0.767)	Data 0.001 (0.001)	Loss 1.8580 (1.8261)	Prec@1 57.031 (52.184)	Prec@5 78.906 (81.650)
Epoch: [74][9260/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 1.7714 (1.8261)	Prec@1 53.906 (52.184)	Prec@5 82.812 (81.651)
Epoch: [74][9270/14090]	Time 0.870 (0.767)	Data 0.001 (0.001)	Loss 1.7469 (1.8260)	Prec@1 55.469 (52.183)	Prec@5 82.031 (81.650)
Epoch: [74][9280/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 1.5095 (1.8260)	Prec@1 60.156 (52.183)	Prec@5 89.062 (81.652)
Epoch: [74][9290/14090]	Time 0.724 (0.767)	Data 0.001 (0.001)	Loss 1.9468 (1.8260)	Prec@1 52.344 (52.183)	Prec@5 78.125 (81.652)
Epoch: [74][9300/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 2.1334 (1.8260)	Prec@1 50.000 (52.181)	Prec@5 75.000 (81.651)
Epoch: [74][9310/14090]	Time 0.765 (0.767)	Data 0.002 (0.001)	Loss 2.0852 (1.8260)	Prec@1 46.875 (52.180)	Prec@5 78.125 (81.651)
Epoch: [74][9320/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 1.8580 (1.8260)	Prec@1 50.000 (52.180)	Prec@5 81.250 (81.650)
Epoch: [74][9330/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 1.7131 (1.8260)	Prec@1 52.344 (52.180)	Prec@5 85.938 (81.650)
Epoch: [74][9340/14090]	Time 0.894 (0.767)	Data 0.001 (0.001)	Loss 1.6499 (1.8259)	Prec@1 56.250 (52.183)	Prec@5 81.250 (81.651)
Epoch: [74][9350/14090]	Time 0.779 (0.767)	Data 0.001 (0.001)	Loss 1.8119 (1.8259)	Prec@1 50.781 (52.183)	Prec@5 80.469 (81.651)
Epoch: [74][9360/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 1.8158 (1.8260)	Prec@1 56.250 (52.180)	Prec@5 79.688 (81.650)
Epoch: [74][9370/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 1.6465 (1.8261)	Prec@1 56.250 (52.177)	Prec@5 85.156 (81.648)
Epoch: [74][9380/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 1.8552 (1.8262)	Prec@1 46.094 (52.176)	Prec@5 78.906 (81.648)
Epoch: [74][9390/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 1.9280 (1.8262)	Prec@1 50.000 (52.174)	Prec@5 80.469 (81.647)
Epoch: [74][9400/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 1.9799 (1.8262)	Prec@1 46.875 (52.172)	Prec@5 82.031 (81.646)
Epoch: [74][9410/14090]	Time 0.856 (0.767)	Data 0.001 (0.001)	Loss 1.9409 (1.8262)	Prec@1 51.562 (52.172)	Prec@5 78.125 (81.647)
Epoch: [74][9420/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 1.8675 (1.8262)	Prec@1 53.906 (52.173)	Prec@5 78.906 (81.647)
Epoch: [74][9430/14090]	Time 0.772 (0.767)	Data 0.002 (0.001)	Loss 1.5646 (1.8262)	Prec@1 57.812 (52.172)	Prec@5 86.719 (81.647)
Epoch: [74][9440/14090]	Time 0.727 (0.767)	Data 0.001 (0.001)	Loss 2.1938 (1.8262)	Prec@1 40.625 (52.170)	Prec@5 75.781 (81.648)
Epoch: [74][9450/14090]	Time 0.772 (0.767)	Data 0.001 (0.001)	Loss 1.7812 (1.8263)	Prec@1 50.781 (52.169)	Prec@5 80.469 (81.647)
Epoch: [74][9460/14090]	Time 0.784 (0.767)	Data 0.001 (0.001)	Loss 1.8189 (1.8263)	Prec@1 50.781 (52.167)	Prec@5 81.250 (81.648)
Epoch: [74][9470/14090]	Time 0.774 (0.767)	Data 0.001 (0.001)	Loss 2.0325 (1.8263)	Prec@1 50.781 (52.168)	Prec@5 78.906 (81.647)
Epoch: [74][9480/14090]	Time 0.909 (0.767)	Data 0.001 (0.001)	Loss 1.7220 (1.8263)	Prec@1 50.781 (52.166)	Prec@5 85.938 (81.646)
Epoch: [74][9490/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.1182 (1.8263)	Prec@1 50.000 (52.167)	Prec@5 78.125 (81.647)
Epoch: [74][9500/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 2.0872 (1.8263)	Prec@1 42.969 (52.164)	Prec@5 78.906 (81.647)
Epoch: [74][9510/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 1.7416 (1.8263)	Prec@1 53.125 (52.167)	Prec@5 85.938 (81.649)
Epoch: [74][9520/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 1.7821 (1.8262)	Prec@1 52.344 (52.169)	Prec@5 84.375 (81.651)
Epoch: [74][9530/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 2.0488 (1.8263)	Prec@1 46.094 (52.169)	Prec@5 78.906 (81.650)
Epoch: [74][9540/14090]	Time 0.752 (0.767)	Data 0.002 (0.001)	Loss 1.5482 (1.8262)	Prec@1 57.031 (52.170)	Prec@5 90.625 (81.652)
Epoch: [74][9550/14090]	Time 0.865 (0.767)	Data 0.001 (0.001)	Loss 1.9408 (1.8262)	Prec@1 49.219 (52.170)	Prec@5 80.469 (81.652)
Epoch: [74][9560/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 1.8248 (1.8262)	Prec@1 53.125 (52.169)	Prec@5 82.031 (81.652)
Epoch: [74][9570/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 1.8356 (1.8262)	Prec@1 54.688 (52.171)	Prec@5 79.688 (81.653)
Epoch: [74][9580/14090]	Time 0.763 (0.767)	Data 0.001 (0.001)	Loss 1.6139 (1.8262)	Prec@1 59.375 (52.171)	Prec@5 85.938 (81.652)
Epoch: [74][9590/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 1.9331 (1.8262)	Prec@1 51.562 (52.172)	Prec@5 81.250 (81.652)
Epoch: [74][9600/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 1.8332 (1.8263)	Prec@1 50.781 (52.173)	Prec@5 79.688 (81.651)
Epoch: [74][9610/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 2.0329 (1.8263)	Prec@1 43.750 (52.172)	Prec@5 81.250 (81.651)
Epoch: [74][9620/14090]	Time 0.827 (0.767)	Data 0.001 (0.001)	Loss 1.9597 (1.8264)	Prec@1 48.438 (52.170)	Prec@5 78.906 (81.649)
Epoch: [74][9630/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 1.7614 (1.8265)	Prec@1 51.562 (52.167)	Prec@5 85.938 (81.648)
Epoch: [74][9640/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 1.8876 (1.8265)	Prec@1 53.906 (52.166)	Prec@5 81.250 (81.648)
Epoch: [74][9650/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 1.6239 (1.8265)	Prec@1 55.469 (52.165)	Prec@5 85.156 (81.648)
Epoch: [74][9660/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 1.5715 (1.8265)	Prec@1 60.156 (52.164)	Prec@5 88.281 (81.648)
Epoch: [74][9670/14090]	Time 0.724 (0.767)	Data 0.001 (0.001)	Loss 1.7565 (1.8265)	Prec@1 53.125 (52.163)	Prec@5 84.375 (81.648)
Epoch: [74][9680/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 2.0059 (1.8265)	Prec@1 49.219 (52.164)	Prec@5 76.562 (81.648)
Epoch: [74][9690/14090]	Time 0.992 (0.767)	Data 0.001 (0.001)	Loss 1.7058 (1.8266)	Prec@1 57.031 (52.163)	Prec@5 78.125 (81.648)
Epoch: [74][9700/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 1.8326 (1.8265)	Prec@1 51.562 (52.165)	Prec@5 82.031 (81.649)
Epoch: [74][9710/14090]	Time 0.745 (0.767)	Data 0.002 (0.001)	Loss 2.0038 (1.8264)	Prec@1 49.219 (52.166)	Prec@5 82.812 (81.650)
Epoch: [74][9720/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 2.1005 (1.8265)	Prec@1 49.219 (52.165)	Prec@5 76.562 (81.648)
Epoch: [74][9730/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 1.8082 (1.8266)	Prec@1 53.125 (52.163)	Prec@5 82.812 (81.646)
Epoch: [74][9740/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 1.5598 (1.8267)	Prec@1 61.719 (52.162)	Prec@5 85.156 (81.645)
Epoch: [74][9750/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 1.7074 (1.8268)	Prec@1 52.344 (52.160)	Prec@5 83.594 (81.643)
Epoch: [74][9760/14090]	Time 0.855 (0.767)	Data 0.001 (0.001)	Loss 1.7091 (1.8268)	Prec@1 57.031 (52.161)	Prec@5 82.812 (81.643)
Epoch: [74][9770/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 1.9257 (1.8267)	Prec@1 51.562 (52.162)	Prec@5 79.688 (81.643)
Epoch: [74][9780/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 1.9070 (1.8267)	Prec@1 47.656 (52.160)	Prec@5 78.906 (81.644)
Epoch: [74][9790/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 1.9088 (1.8267)	Prec@1 56.250 (52.160)	Prec@5 80.469 (81.643)
Epoch: [74][9800/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 1.7244 (1.8267)	Prec@1 50.781 (52.160)	Prec@5 85.938 (81.644)
Epoch: [74][9810/14090]	Time 0.723 (0.767)	Data 0.001 (0.001)	Loss 1.6816 (1.8267)	Prec@1 57.812 (52.160)	Prec@5 86.719 (81.645)
Epoch: [74][9820/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 1.7086 (1.8267)	Prec@1 52.344 (52.161)	Prec@5 82.812 (81.645)
Epoch: [74][9830/14090]	Time 0.874 (0.767)	Data 0.001 (0.001)	Loss 1.8092 (1.8267)	Prec@1 50.000 (52.161)	Prec@5 83.594 (81.646)
Epoch: [74][9840/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 1.7047 (1.8266)	Prec@1 57.031 (52.162)	Prec@5 86.719 (81.647)
Epoch: [74][9850/14090]	Time 0.770 (0.767)	Data 0.001 (0.001)	Loss 1.8198 (1.8266)	Prec@1 59.375 (52.163)	Prec@5 80.469 (81.647)
Epoch: [74][9860/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 1.7216 (1.8268)	Prec@1 55.469 (52.160)	Prec@5 82.031 (81.643)
Epoch: [74][9870/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 2.0143 (1.8268)	Prec@1 42.188 (52.160)	Prec@5 82.031 (81.642)
Epoch: [74][9880/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 1.8283 (1.8269)	Prec@1 53.125 (52.156)	Prec@5 82.031 (81.641)
Epoch: [74][9890/14090]	Time 0.779 (0.767)	Data 0.001 (0.001)	Loss 1.7525 (1.8269)	Prec@1 53.906 (52.156)	Prec@5 83.594 (81.641)
Epoch: [74][9900/14090]	Time 0.915 (0.767)	Data 0.001 (0.001)	Loss 1.8082 (1.8269)	Prec@1 57.031 (52.157)	Prec@5 84.375 (81.641)
Epoch: [74][9910/14090]	Time 0.725 (0.767)	Data 0.001 (0.001)	Loss 1.6813 (1.8269)	Prec@1 56.250 (52.157)	Prec@5 83.594 (81.641)
Epoch: [74][9920/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 1.7602 (1.8270)	Prec@1 54.688 (52.156)	Prec@5 83.594 (81.640)
Epoch: [74][9930/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 1.8194 (1.8271)	Prec@1 50.781 (52.154)	Prec@5 80.469 (81.638)
Epoch: [74][9940/14090]	Time 0.763 (0.767)	Data 0.001 (0.001)	Loss 2.2494 (1.8271)	Prec@1 40.625 (52.152)	Prec@5 75.781 (81.638)
Epoch: [74][9950/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 1.6811 (1.8271)	Prec@1 59.375 (52.152)	Prec@5 82.031 (81.639)
Epoch: [74][9960/14090]	Time 0.774 (0.767)	Data 0.001 (0.001)	Loss 1.9046 (1.8270)	Prec@1 48.438 (52.152)	Prec@5 79.688 (81.640)
Epoch: [74][9970/14090]	Time 0.932 (0.767)	Data 0.001 (0.001)	Loss 2.0655 (1.8271)	Prec@1 50.000 (52.152)	Prec@5 75.000 (81.639)
Epoch: [74][9980/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 1.7566 (1.8272)	Prec@1 56.250 (52.150)	Prec@5 85.156 (81.638)
Epoch: [74][9990/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 1.7803 (1.8271)	Prec@1 53.906 (52.151)	Prec@5 83.594 (81.638)
Epoch: [74][10000/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 2.0467 (1.8272)	Prec@1 47.656 (52.150)	Prec@5 78.125 (81.636)
Epoch: [74][10010/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 1.6630 (1.8271)	Prec@1 53.125 (52.152)	Prec@5 84.375 (81.638)
Epoch: [74][10020/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 1.7270 (1.8271)	Prec@1 56.250 (52.151)	Prec@5 82.031 (81.638)
Epoch: [74][10030/14090]	Time 0.773 (0.767)	Data 0.001 (0.001)	Loss 1.7490 (1.8271)	Prec@1 53.906 (52.153)	Prec@5 81.250 (81.639)
Epoch: [74][10040/14090]	Time 0.872 (0.767)	Data 0.001 (0.001)	Loss 1.5224 (1.8270)	Prec@1 61.719 (52.153)	Prec@5 84.375 (81.640)
Epoch: [74][10050/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 1.8436 (1.8270)	Prec@1 53.906 (52.154)	Prec@5 82.031 (81.640)
Epoch: [74][10060/14090]	Time 0.774 (0.767)	Data 0.001 (0.001)	Loss 1.8749 (1.8269)	Prec@1 49.219 (52.157)	Prec@5 83.594 (81.643)
Epoch: [74][10070/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 1.8928 (1.8269)	Prec@1 50.000 (52.159)	Prec@5 80.469 (81.644)
Epoch: [74][10080/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 1.8016 (1.8269)	Prec@1 53.125 (52.160)	Prec@5 82.031 (81.643)
Epoch: [74][10090/14090]	Time 0.769 (0.767)	Data 0.001 (0.001)	Loss 1.6936 (1.8270)	Prec@1 51.562 (52.157)	Prec@5 83.594 (81.640)
Epoch: [74][10100/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 1.6815 (1.8270)	Prec@1 57.812 (52.155)	Prec@5 85.156 (81.640)
Epoch: [74][10110/14090]	Time 0.854 (0.767)	Data 0.002 (0.001)	Loss 2.0086 (1.8269)	Prec@1 51.562 (52.156)	Prec@5 77.344 (81.641)
Epoch: [74][10120/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 1.6115 (1.8269)	Prec@1 57.031 (52.157)	Prec@5 82.031 (81.642)
Epoch: [74][10130/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 1.6501 (1.8268)	Prec@1 50.000 (52.159)	Prec@5 84.375 (81.644)
Epoch: [74][10140/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 1.7555 (1.8268)	Prec@1 53.906 (52.157)	Prec@5 83.594 (81.643)
Epoch: [74][10150/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 1.7346 (1.8268)	Prec@1 54.688 (52.159)	Prec@5 81.250 (81.643)
Epoch: [74][10160/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 1.6061 (1.8267)	Prec@1 60.156 (52.163)	Prec@5 85.156 (81.645)
Epoch: [74][10170/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 1.8111 (1.8268)	Prec@1 55.469 (52.164)	Prec@5 82.031 (81.645)
Epoch: [74][10180/14090]	Time 0.892 (0.767)	Data 0.001 (0.001)	Loss 1.5495 (1.8266)	Prec@1 60.156 (52.167)	Prec@5 86.719 (81.648)
Epoch: [74][10190/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 1.7753 (1.8267)	Prec@1 48.438 (52.166)	Prec@5 84.375 (81.648)
Epoch: [74][10200/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 1.5910 (1.8266)	Prec@1 57.031 (52.167)	Prec@5 85.156 (81.649)
Epoch: [74][10210/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 1.8606 (1.8266)	Prec@1 53.125 (52.164)	Prec@5 81.250 (81.648)
Epoch: [74][10220/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 1.7680 (1.8267)	Prec@1 51.562 (52.161)	Prec@5 83.594 (81.648)
Epoch: [74][10230/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 1.7760 (1.8267)	Prec@1 52.344 (52.160)	Prec@5 84.375 (81.648)
Epoch: [74][10240/14090]	Time 0.769 (0.767)	Data 0.001 (0.001)	Loss 1.6133 (1.8267)	Prec@1 57.031 (52.162)	Prec@5 85.156 (81.648)
Epoch: [74][10250/14090]	Time 0.873 (0.767)	Data 0.001 (0.001)	Loss 1.7982 (1.8267)	Prec@1 50.000 (52.162)	Prec@5 81.250 (81.647)
Epoch: [74][10260/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 1.7879 (1.8267)	Prec@1 48.438 (52.160)	Prec@5 85.156 (81.647)
Epoch: [74][10270/14090]	Time 0.765 (0.767)	Data 0.001 (0.001)	Loss 1.9183 (1.8268)	Prec@1 55.469 (52.159)	Prec@5 78.906 (81.647)
Epoch: [74][10280/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 1.7333 (1.8268)	Prec@1 55.469 (52.161)	Prec@5 82.812 (81.647)
Epoch: [74][10290/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 1.9873 (1.8268)	Prec@1 47.656 (52.161)	Prec@5 78.125 (81.646)
Epoch: [74][10300/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 1.9476 (1.8268)	Prec@1 42.969 (52.160)	Prec@5 81.250 (81.646)
Epoch: [74][10310/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 1.6994 (1.8268)	Prec@1 57.031 (52.162)	Prec@5 82.812 (81.647)
Epoch: [74][10320/14090]	Time 0.868 (0.767)	Data 0.001 (0.001)	Loss 1.7377 (1.8268)	Prec@1 56.250 (52.161)	Prec@5 85.156 (81.646)
Epoch: [74][10330/14090]	Time 0.722 (0.767)	Data 0.001 (0.001)	Loss 1.6843 (1.8267)	Prec@1 50.781 (52.161)	Prec@5 84.375 (81.648)
Epoch: [74][10340/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 1.7114 (1.8267)	Prec@1 53.906 (52.161)	Prec@5 85.156 (81.648)
Epoch: [74][10350/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 1.6415 (1.8266)	Prec@1 60.938 (52.163)	Prec@5 82.031 (81.649)
Epoch: [74][10360/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 1.7385 (1.8266)	Prec@1 53.125 (52.163)	Prec@5 85.938 (81.650)
Epoch: [74][10370/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 1.8986 (1.8266)	Prec@1 51.562 (52.163)	Prec@5 84.375 (81.651)
Epoch: [74][10380/14090]	Time 0.778 (0.767)	Data 0.002 (0.001)	Loss 1.9221 (1.8266)	Prec@1 50.781 (52.163)	Prec@5 78.906 (81.651)
Epoch: [74][10390/14090]	Time 0.850 (0.767)	Data 0.001 (0.001)	Loss 1.8388 (1.8266)	Prec@1 54.688 (52.163)	Prec@5 80.469 (81.651)
Epoch: [74][10400/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 1.8752 (1.8266)	Prec@1 53.125 (52.163)	Prec@5 80.469 (81.651)
Epoch: [74][10410/14090]	Time 0.770 (0.767)	Data 0.001 (0.001)	Loss 1.8474 (1.8266)	Prec@1 54.688 (52.162)	Prec@5 84.375 (81.651)
Epoch: [74][10420/14090]	Time 0.767 (0.767)	Data 0.001 (0.001)	Loss 1.8437 (1.8267)	Prec@1 46.875 (52.161)	Prec@5 83.594 (81.650)
Epoch: [74][10430/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 1.8241 (1.8266)	Prec@1 53.906 (52.163)	Prec@5 78.125 (81.652)
Epoch: [74][10440/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 1.9115 (1.8266)	Prec@1 56.250 (52.162)	Prec@5 78.906 (81.650)
Epoch: [74][10450/14090]	Time 0.806 (0.767)	Data 0.001 (0.001)	Loss 1.8790 (1.8267)	Prec@1 49.219 (52.161)	Prec@5 79.688 (81.648)
Epoch: [74][10460/14090]	Time 0.881 (0.767)	Data 0.001 (0.001)	Loss 2.0738 (1.8268)	Prec@1 49.219 (52.161)	Prec@5 78.125 (81.648)
Epoch: [74][10470/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 1.9602 (1.8268)	Prec@1 51.562 (52.161)	Prec@5 80.469 (81.647)
Epoch: [74][10480/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 1.7833 (1.8268)	Prec@1 53.906 (52.160)	Prec@5 83.594 (81.646)
Epoch: [74][10490/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 2.0473 (1.8269)	Prec@1 46.875 (52.159)	Prec@5 79.688 (81.644)
Epoch: [74][10500/14090]	Time 0.779 (0.767)	Data 0.001 (0.001)	Loss 1.6496 (1.8268)	Prec@1 50.000 (52.158)	Prec@5 85.156 (81.644)
Epoch: [74][10510/14090]	Time 0.762 (0.767)	Data 0.002 (0.001)	Loss 1.7782 (1.8268)	Prec@1 51.562 (52.159)	Prec@5 82.031 (81.645)
Epoch: [74][10520/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 2.0386 (1.8269)	Prec@1 48.438 (52.158)	Prec@5 75.000 (81.643)
Epoch: [74][10530/14090]	Time 0.867 (0.767)	Data 0.001 (0.001)	Loss 1.7926 (1.8269)	Prec@1 46.094 (52.158)	Prec@5 84.375 (81.644)
Epoch: [74][10540/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 1.9507 (1.8269)	Prec@1 51.562 (52.157)	Prec@5 80.469 (81.642)
Epoch: [74][10550/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 1.7416 (1.8269)	Prec@1 59.375 (52.158)	Prec@5 82.031 (81.642)
Epoch: [74][10560/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 1.8535 (1.8270)	Prec@1 50.000 (52.154)	Prec@5 81.250 (81.641)
Epoch: [74][10570/14090]	Time 0.777 (0.767)	Data 0.001 (0.001)	Loss 1.8280 (1.8270)	Prec@1 55.469 (52.155)	Prec@5 82.031 (81.641)
Epoch: [74][10580/14090]	Time 0.725 (0.767)	Data 0.001 (0.001)	Loss 1.6749 (1.8270)	Prec@1 51.562 (52.155)	Prec@5 87.500 (81.641)
Epoch: [74][10590/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.0099 (1.8270)	Prec@1 49.219 (52.154)	Prec@5 75.000 (81.640)
Epoch: [74][10600/14090]	Time 0.872 (0.767)	Data 0.001 (0.001)	Loss 1.7873 (1.8271)	Prec@1 49.219 (52.153)	Prec@5 81.250 (81.640)
Epoch: [74][10610/14090]	Time 0.727 (0.767)	Data 0.001 (0.001)	Loss 1.6306 (1.8271)	Prec@1 60.938 (52.154)	Prec@5 82.812 (81.638)
Epoch: [74][10620/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 1.7296 (1.8270)	Prec@1 51.562 (52.156)	Prec@5 84.375 (81.639)
Epoch: [74][10630/14090]	Time 0.776 (0.767)	Data 0.001 (0.001)	Loss 1.4582 (1.8270)	Prec@1 65.625 (52.156)	Prec@5 85.156 (81.639)
Epoch: [74][10640/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 1.8344 (1.8271)	Prec@1 50.000 (52.154)	Prec@5 83.594 (81.638)
Epoch: [74][10650/14090]	Time 0.726 (0.767)	Data 0.001 (0.001)	Loss 2.0795 (1.8272)	Prec@1 42.969 (52.150)	Prec@5 78.125 (81.637)
Epoch: [74][10660/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 1.8733 (1.8272)	Prec@1 46.094 (52.150)	Prec@5 82.812 (81.638)
Epoch: [74][10670/14090]	Time 0.855 (0.767)	Data 0.001 (0.001)	Loss 1.8743 (1.8272)	Prec@1 56.250 (52.151)	Prec@5 81.250 (81.638)
Epoch: [74][10680/14090]	Time 0.728 (0.767)	Data 0.002 (0.001)	Loss 1.8743 (1.8272)	Prec@1 48.438 (52.152)	Prec@5 79.688 (81.638)
Epoch: [74][10690/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.0015 (1.8273)	Prec@1 50.781 (52.152)	Prec@5 78.906 (81.636)
Epoch: [74][10700/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 1.7496 (1.8272)	Prec@1 52.344 (52.153)	Prec@5 83.594 (81.637)
Epoch: [74][10710/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 1.8708 (1.8272)	Prec@1 53.125 (52.153)	Prec@5 77.344 (81.636)
Epoch: [74][10720/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 1.9178 (1.8273)	Prec@1 49.219 (52.152)	Prec@5 82.031 (81.636)
Epoch: [74][10730/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 1.7927 (1.8272)	Prec@1 50.781 (52.153)	Prec@5 82.812 (81.637)
Epoch: [74][10740/14090]	Time 1.035 (0.767)	Data 0.001 (0.001)	Loss 1.9699 (1.8273)	Prec@1 46.875 (52.152)	Prec@5 78.125 (81.636)
Epoch: [74][10750/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 1.6159 (1.8273)	Prec@1 61.719 (52.153)	Prec@5 83.594 (81.635)
Epoch: [74][10760/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 1.9493 (1.8273)	Prec@1 44.531 (52.152)	Prec@5 77.344 (81.634)
Epoch: [74][10770/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 1.9774 (1.8273)	Prec@1 52.344 (52.152)	Prec@5 78.906 (81.633)
Epoch: [74][10780/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 1.8816 (1.8273)	Prec@1 52.344 (52.153)	Prec@5 77.344 (81.632)
Epoch: [74][10790/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 1.8283 (1.8274)	Prec@1 53.125 (52.152)	Prec@5 78.125 (81.632)
Epoch: [74][10800/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 1.8528 (1.8274)	Prec@1 50.781 (52.150)	Prec@5 80.469 (81.631)
Epoch: [74][10810/14090]	Time 0.894 (0.767)	Data 0.001 (0.001)	Loss 1.8342 (1.8275)	Prec@1 46.094 (52.147)	Prec@5 78.906 (81.628)
Epoch: [74][10820/14090]	Time 0.772 (0.767)	Data 0.001 (0.001)	Loss 1.6825 (1.8276)	Prec@1 50.781 (52.145)	Prec@5 89.062 (81.629)
Epoch: [74][10830/14090]	Time 0.775 (0.767)	Data 0.001 (0.001)	Loss 1.8728 (1.8276)	Prec@1 45.312 (52.143)	Prec@5 80.469 (81.628)
Epoch: [74][10840/14090]	Time 0.727 (0.767)	Data 0.001 (0.001)	Loss 1.9627 (1.8276)	Prec@1 42.188 (52.142)	Prec@5 83.594 (81.628)
Epoch: [74][10850/14090]	Time 0.771 (0.767)	Data 0.001 (0.001)	Loss 1.6317 (1.8276)	Prec@1 55.469 (52.141)	Prec@5 86.719 (81.629)
Epoch: [74][10860/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 1.8827 (1.8276)	Prec@1 52.344 (52.139)	Prec@5 78.906 (81.628)
Epoch: [74][10870/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 1.7439 (1.8276)	Prec@1 53.906 (52.141)	Prec@5 83.594 (81.627)
Epoch: [74][10880/14090]	Time 0.863 (0.767)	Data 0.001 (0.001)	Loss 1.7881 (1.8276)	Prec@1 54.688 (52.140)	Prec@5 75.000 (81.627)
Epoch: [74][10890/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 1.7228 (1.8276)	Prec@1 52.344 (52.141)	Prec@5 83.594 (81.627)
Epoch: [74][10900/14090]	Time 0.799 (0.767)	Data 0.001 (0.001)	Loss 1.9422 (1.8276)	Prec@1 48.438 (52.140)	Prec@5 80.469 (81.626)
Epoch: [74][10910/14090]	Time 0.772 (0.767)	Data 0.002 (0.001)	Loss 1.5749 (1.8276)	Prec@1 62.500 (52.143)	Prec@5 87.500 (81.628)
Epoch: [74][10920/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 1.9186 (1.8277)	Prec@1 46.094 (52.141)	Prec@5 82.031 (81.627)
Epoch: [74][10930/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 1.8918 (1.8277)	Prec@1 51.562 (52.142)	Prec@5 81.250 (81.627)
Epoch: [74][10940/14090]	Time 0.770 (0.767)	Data 0.001 (0.001)	Loss 1.7683 (1.8276)	Prec@1 51.562 (52.142)	Prec@5 81.250 (81.627)
Epoch: [74][10950/14090]	Time 0.859 (0.767)	Data 0.001 (0.001)	Loss 2.0185 (1.8277)	Prec@1 50.000 (52.142)	Prec@5 78.125 (81.626)
Epoch: [74][10960/14090]	Time 0.773 (0.767)	Data 0.001 (0.001)	Loss 1.6555 (1.8277)	Prec@1 53.906 (52.143)	Prec@5 86.719 (81.626)
Epoch: [74][10970/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 1.7625 (1.8276)	Prec@1 47.656 (52.144)	Prec@5 87.500 (81.628)
Epoch: [74][10980/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 2.0822 (1.8276)	Prec@1 49.219 (52.143)	Prec@5 75.000 (81.627)
Epoch: [74][10990/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 1.8455 (1.8276)	Prec@1 48.438 (52.142)	Prec@5 82.031 (81.627)
Epoch: [74][11000/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 1.6034 (1.8276)	Prec@1 58.594 (52.143)	Prec@5 85.156 (81.628)
Epoch: [74][11010/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 1.8303 (1.8276)	Prec@1 55.469 (52.143)	Prec@5 82.812 (81.628)
Epoch: [74][11020/14090]	Time 0.888 (0.767)	Data 0.001 (0.001)	Loss 1.7761 (1.8276)	Prec@1 51.562 (52.144)	Prec@5 85.156 (81.629)
Epoch: [74][11030/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 1.9183 (1.8276)	Prec@1 48.438 (52.145)	Prec@5 82.812 (81.630)
Epoch: [74][11040/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 1.8592 (1.8276)	Prec@1 50.000 (52.144)	Prec@5 79.688 (81.630)
Epoch: [74][11050/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 1.8725 (1.8276)	Prec@1 49.219 (52.143)	Prec@5 80.469 (81.630)
Epoch: [74][11060/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 1.7001 (1.8276)	Prec@1 60.156 (52.143)	Prec@5 82.031 (81.629)
Epoch: [74][11070/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 1.7873 (1.8276)	Prec@1 50.000 (52.142)	Prec@5 85.938 (81.630)
Epoch: [74][11080/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 1.5312 (1.8275)	Prec@1 50.000 (52.145)	Prec@5 89.062 (81.632)
Epoch: [74][11090/14090]	Time 0.852 (0.767)	Data 0.001 (0.001)	Loss 1.8577 (1.8274)	Prec@1 48.438 (52.145)	Prec@5 82.031 (81.631)
Epoch: [74][11100/14090]	Time 0.768 (0.767)	Data 0.001 (0.001)	Loss 1.8384 (1.8275)	Prec@1 48.438 (52.144)	Prec@5 80.469 (81.631)
Epoch: [74][11110/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 1.6497 (1.8275)	Prec@1 54.688 (52.143)	Prec@5 88.281 (81.630)
Epoch: [74][11120/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 2.0536 (1.8275)	Prec@1 52.344 (52.144)	Prec@5 74.219 (81.629)
Epoch: [74][11130/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 2.2115 (1.8276)	Prec@1 46.875 (52.142)	Prec@5 75.781 (81.627)
Epoch: [74][11140/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 1.9276 (1.8276)	Prec@1 52.344 (52.142)	Prec@5 80.469 (81.627)
Epoch: [74][11150/14090]	Time 0.773 (0.767)	Data 0.001 (0.001)	Loss 2.0509 (1.8275)	Prec@1 47.656 (52.142)	Prec@5 78.906 (81.628)
Epoch: [74][11160/14090]	Time 0.950 (0.767)	Data 0.001 (0.001)	Loss 1.7593 (1.8276)	Prec@1 50.781 (52.143)	Prec@5 82.031 (81.628)
Epoch: [74][11170/14090]	Time 0.773 (0.767)	Data 0.001 (0.001)	Loss 2.0532 (1.8275)	Prec@1 48.438 (52.144)	Prec@5 75.781 (81.628)
Epoch: [74][11180/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 1.7616 (1.8275)	Prec@1 56.250 (52.145)	Prec@5 78.125 (81.627)
Epoch: [74][11190/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 1.7462 (1.8275)	Prec@1 46.875 (52.143)	Prec@5 85.156 (81.627)
Epoch: [74][11200/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 1.8829 (1.8276)	Prec@1 49.219 (52.142)	Prec@5 80.469 (81.626)
Epoch: [74][11210/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 1.5542 (1.8276)	Prec@1 53.125 (52.143)	Prec@5 89.844 (81.626)
Epoch: [74][11220/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 1.9469 (1.8276)	Prec@1 46.094 (52.142)	Prec@5 77.344 (81.625)
Epoch: [74][11230/14090]	Time 0.889 (0.767)	Data 0.001 (0.001)	Loss 1.7715 (1.8276)	Prec@1 47.656 (52.142)	Prec@5 85.156 (81.625)
Epoch: [74][11240/14090]	Time 0.764 (0.767)	Data 0.001 (0.001)	Loss 2.0939 (1.8276)	Prec@1 47.656 (52.142)	Prec@5 73.438 (81.625)
Epoch: [74][11250/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 1.8240 (1.8276)	Prec@1 48.438 (52.143)	Prec@5 81.250 (81.625)
Epoch: [74][11260/14090]	Time 0.763 (0.767)	Data 0.001 (0.001)	Loss 1.8887 (1.8276)	Prec@1 47.656 (52.142)	Prec@5 78.906 (81.625)
Epoch: [74][11270/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 2.0015 (1.8276)	Prec@1 48.438 (52.142)	Prec@5 72.656 (81.625)
Epoch: [74][11280/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 1.7601 (1.8277)	Prec@1 52.344 (52.140)	Prec@5 85.938 (81.624)
Epoch: [74][11290/14090]	Time 0.723 (0.767)	Data 0.001 (0.001)	Loss 1.7948 (1.8277)	Prec@1 57.031 (52.142)	Prec@5 83.594 (81.625)
Epoch: [74][11300/14090]	Time 0.835 (0.767)	Data 0.001 (0.001)	Loss 1.8943 (1.8277)	Prec@1 53.906 (52.141)	Prec@5 78.125 (81.623)
Epoch: [74][11310/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 1.6790 (1.8276)	Prec@1 59.375 (52.143)	Prec@5 84.375 (81.624)
Epoch: [74][11320/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 1.8879 (1.8276)	Prec@1 49.219 (52.144)	Prec@5 81.250 (81.625)
Epoch: [74][11330/14090]	Time 0.786 (0.767)	Data 0.001 (0.001)	Loss 1.9732 (1.8276)	Prec@1 51.562 (52.145)	Prec@5 78.906 (81.625)
Epoch: [74][11340/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 1.8621 (1.8275)	Prec@1 51.562 (52.148)	Prec@5 81.250 (81.626)
Epoch: [74][11350/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 2.0117 (1.8276)	Prec@1 50.000 (52.146)	Prec@5 71.094 (81.624)
Epoch: [74][11360/14090]	Time 0.722 (0.767)	Data 0.001 (0.001)	Loss 1.6807 (1.8276)	Prec@1 54.688 (52.147)	Prec@5 83.594 (81.624)
Epoch: [74][11370/14090]	Time 0.885 (0.767)	Data 0.001 (0.001)	Loss 1.9311 (1.8276)	Prec@1 54.688 (52.147)	Prec@5 78.906 (81.623)
Epoch: [74][11380/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 1.8155 (1.8276)	Prec@1 52.344 (52.146)	Prec@5 82.812 (81.622)
Epoch: [74][11390/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 1.7986 (1.8276)	Prec@1 50.781 (52.146)	Prec@5 81.250 (81.622)
Epoch: [74][11400/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 1.8137 (1.8276)	Prec@1 49.219 (52.147)	Prec@5 82.031 (81.622)
Epoch: [74][11410/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 1.8139 (1.8276)	Prec@1 53.906 (52.147)	Prec@5 78.906 (81.622)
Epoch: [74][11420/14090]	Time 0.760 (0.767)	Data 0.002 (0.001)	Loss 2.0332 (1.8276)	Prec@1 44.531 (52.144)	Prec@5 80.469 (81.622)
Epoch: [74][11430/14090]	Time 0.765 (0.767)	Data 0.001 (0.001)	Loss 1.9871 (1.8276)	Prec@1 50.000 (52.145)	Prec@5 77.344 (81.622)
Epoch: [74][11440/14090]	Time 0.851 (0.767)	Data 0.001 (0.001)	Loss 1.5764 (1.8276)	Prec@1 52.344 (52.145)	Prec@5 84.375 (81.622)
Epoch: [74][11450/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 1.4794 (1.8275)	Prec@1 60.156 (52.146)	Prec@5 85.156 (81.623)
Epoch: [74][11460/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 1.8143 (1.8275)	Prec@1 53.125 (52.147)	Prec@5 80.469 (81.623)
Epoch: [74][11470/14090]	Time 0.774 (0.767)	Data 0.001 (0.001)	Loss 1.8485 (1.8275)	Prec@1 51.562 (52.148)	Prec@5 82.812 (81.624)
Epoch: [74][11480/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 1.7778 (1.8275)	Prec@1 52.344 (52.148)	Prec@5 82.031 (81.624)
Epoch: [74][11490/14090]	Time 0.727 (0.767)	Data 0.001 (0.001)	Loss 1.9377 (1.8276)	Prec@1 47.656 (52.145)	Prec@5 79.688 (81.623)
Epoch: [74][11500/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 1.5728 (1.8275)	Prec@1 57.812 (52.146)	Prec@5 90.625 (81.623)
Epoch: [74][11510/14090]	Time 0.889 (0.767)	Data 0.001 (0.001)	Loss 1.5462 (1.8275)	Prec@1 60.156 (52.146)	Prec@5 85.938 (81.623)
Epoch: [74][11520/14090]	Time 0.720 (0.767)	Data 0.001 (0.001)	Loss 2.0174 (1.8275)	Prec@1 46.875 (52.149)	Prec@5 76.562 (81.624)
Epoch: [74][11530/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 1.9794 (1.8274)	Prec@1 50.781 (52.147)	Prec@5 78.125 (81.625)
Epoch: [74][11540/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 1.8473 (1.8274)	Prec@1 50.781 (52.149)	Prec@5 82.031 (81.627)
Epoch: [74][11550/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 1.7590 (1.8273)	Prec@1 57.031 (52.151)	Prec@5 78.906 (81.627)
Epoch: [74][11560/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 1.9292 (1.8273)	Prec@1 48.438 (52.151)	Prec@5 79.688 (81.627)
Epoch: [74][11570/14090]	Time 0.765 (0.767)	Data 0.001 (0.001)	Loss 1.9996 (1.8273)	Prec@1 50.781 (52.150)	Prec@5 79.688 (81.626)
Epoch: [74][11580/14090]	Time 0.892 (0.767)	Data 0.001 (0.001)	Loss 2.0063 (1.8273)	Prec@1 47.656 (52.150)	Prec@5 80.469 (81.627)
Epoch: [74][11590/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 1.9520 (1.8273)	Prec@1 46.094 (52.149)	Prec@5 75.781 (81.626)
Epoch: [74][11600/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 2.0107 (1.8273)	Prec@1 46.875 (52.149)	Prec@5 77.344 (81.625)
Epoch: [74][11610/14090]	Time 0.773 (0.767)	Data 0.001 (0.001)	Loss 1.7901 (1.8274)	Prec@1 51.562 (52.148)	Prec@5 85.156 (81.625)
Epoch: [74][11620/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 1.9678 (1.8273)	Prec@1 51.562 (52.150)	Prec@5 77.344 (81.626)
Epoch: [74][11630/14090]	Time 0.773 (0.767)	Data 0.001 (0.001)	Loss 1.8587 (1.8273)	Prec@1 47.656 (52.151)	Prec@5 77.344 (81.627)
Epoch: [74][11640/14090]	Time 0.725 (0.767)	Data 0.001 (0.001)	Loss 1.6716 (1.8272)	Prec@1 52.344 (52.152)	Prec@5 88.281 (81.629)
Epoch: [74][11650/14090]	Time 0.916 (0.767)	Data 0.001 (0.001)	Loss 1.9789 (1.8272)	Prec@1 51.562 (52.152)	Prec@5 82.031 (81.629)
Epoch: [74][11660/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 1.7930 (1.8273)	Prec@1 46.875 (52.151)	Prec@5 83.594 (81.627)
Epoch: [74][11670/14090]	Time 0.764 (0.767)	Data 0.001 (0.001)	Loss 1.8186 (1.8272)	Prec@1 51.562 (52.152)	Prec@5 82.812 (81.627)
Epoch: [74][11680/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 1.7803 (1.8272)	Prec@1 52.344 (52.151)	Prec@5 82.812 (81.626)
Epoch: [74][11690/14090]	Time 0.773 (0.767)	Data 0.001 (0.001)	Loss 1.7794 (1.8272)	Prec@1 51.562 (52.152)	Prec@5 84.375 (81.627)
Epoch: [74][11700/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 1.7622 (1.8272)	Prec@1 51.562 (52.150)	Prec@5 84.375 (81.626)
Epoch: [74][11710/14090]	Time 0.772 (0.767)	Data 0.001 (0.001)	Loss 2.0525 (1.8272)	Prec@1 48.438 (52.151)	Prec@5 76.562 (81.626)
Epoch: [74][11720/14090]	Time 0.881 (0.767)	Data 0.001 (0.001)	Loss 2.0326 (1.8272)	Prec@1 46.875 (52.152)	Prec@5 79.688 (81.627)
Epoch: [74][11730/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 2.0004 (1.8272)	Prec@1 42.188 (52.150)	Prec@5 78.125 (81.626)
Epoch: [74][11740/14090]	Time 0.777 (0.767)	Data 0.001 (0.001)	Loss 2.0651 (1.8273)	Prec@1 46.875 (52.149)	Prec@5 78.125 (81.625)
Epoch: [74][11750/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 1.5776 (1.8272)	Prec@1 60.156 (52.150)	Prec@5 88.281 (81.626)
Epoch: [74][11760/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 1.7787 (1.8272)	Prec@1 53.125 (52.151)	Prec@5 85.156 (81.627)
Epoch: [74][11770/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 2.0494 (1.8272)	Prec@1 46.094 (52.153)	Prec@5 80.469 (81.627)
Epoch: [74][11780/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 1.8686 (1.8272)	Prec@1 50.781 (52.153)	Prec@5 78.125 (81.626)
Epoch: [74][11790/14090]	Time 0.899 (0.767)	Data 0.001 (0.001)	Loss 1.8094 (1.8272)	Prec@1 49.219 (52.152)	Prec@5 80.469 (81.626)
Epoch: [74][11800/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 1.7643 (1.8271)	Prec@1 54.688 (52.154)	Prec@5 81.250 (81.627)
Epoch: [74][11810/14090]	Time 0.792 (0.767)	Data 0.001 (0.001)	Loss 1.4533 (1.8271)	Prec@1 60.938 (52.155)	Prec@5 89.062 (81.628)
Epoch: [74][11820/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 1.5204 (1.8271)	Prec@1 59.375 (52.155)	Prec@5 85.156 (81.628)
Epoch: [74][11830/14090]	Time 0.787 (0.767)	Data 0.001 (0.001)	Loss 2.0864 (1.8271)	Prec@1 50.781 (52.156)	Prec@5 76.562 (81.628)
Epoch: [74][11840/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 1.5234 (1.8270)	Prec@1 58.594 (52.156)	Prec@5 87.500 (81.629)
Epoch: [74][11850/14090]	Time 0.725 (0.767)	Data 0.001 (0.001)	Loss 1.8882 (1.8271)	Prec@1 49.219 (52.153)	Prec@5 81.250 (81.627)
Epoch: [74][11860/14090]	Time 0.833 (0.767)	Data 0.001 (0.001)	Loss 1.6886 (1.8271)	Prec@1 58.594 (52.154)	Prec@5 81.250 (81.628)
Epoch: [74][11870/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 1.9198 (1.8270)	Prec@1 46.094 (52.156)	Prec@5 81.250 (81.629)
Epoch: [74][11880/14090]	Time 0.792 (0.767)	Data 0.001 (0.001)	Loss 1.8160 (1.8270)	Prec@1 50.000 (52.155)	Prec@5 82.031 (81.630)
Epoch: [74][11890/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 1.5553 (1.8270)	Prec@1 53.906 (52.155)	Prec@5 85.938 (81.631)
Epoch: [74][11900/14090]	Time 0.782 (0.767)	Data 0.001 (0.001)	Loss 1.7050 (1.8269)	Prec@1 58.594 (52.156)	Prec@5 83.594 (81.632)
Epoch: [74][11910/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 1.9831 (1.8270)	Prec@1 50.000 (52.156)	Prec@5 80.469 (81.629)
Epoch: [74][11920/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 1.8124 (1.8270)	Prec@1 47.656 (52.155)	Prec@5 85.156 (81.629)
Epoch: [74][11930/14090]	Time 0.882 (0.767)	Data 0.001 (0.001)	Loss 1.8289 (1.8270)	Prec@1 51.562 (52.156)	Prec@5 78.906 (81.628)
Epoch: [74][11940/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 1.7063 (1.8270)	Prec@1 53.125 (52.155)	Prec@5 84.375 (81.628)
Epoch: [74][11950/14090]	Time 0.775 (0.767)	Data 0.001 (0.001)	Loss 1.7346 (1.8270)	Prec@1 50.781 (52.156)	Prec@5 78.125 (81.628)
Epoch: [74][11960/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 1.9119 (1.8270)	Prec@1 51.562 (52.155)	Prec@5 81.250 (81.628)
Epoch: [74][11970/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 1.7830 (1.8271)	Prec@1 53.125 (52.155)	Prec@5 81.250 (81.628)
Epoch: [74][11980/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 2.0310 (1.8270)	Prec@1 48.438 (52.156)	Prec@5 80.469 (81.629)
Epoch: [74][11990/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 1.9123 (1.8271)	Prec@1 46.875 (52.156)	Prec@5 83.594 (81.629)
Epoch: [74][12000/14090]	Time 0.888 (0.767)	Data 0.001 (0.001)	Loss 1.9627 (1.8270)	Prec@1 50.781 (52.156)	Prec@5 80.469 (81.630)
Epoch: [74][12010/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 1.7925 (1.8270)	Prec@1 47.656 (52.157)	Prec@5 83.594 (81.630)
Epoch: [74][12020/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 1.7829 (1.8270)	Prec@1 54.688 (52.156)	Prec@5 80.469 (81.629)
Epoch: [74][12030/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 2.1415 (1.8271)	Prec@1 42.969 (52.155)	Prec@5 81.250 (81.628)
Epoch: [74][12040/14090]	Time 0.727 (0.767)	Data 0.001 (0.001)	Loss 1.7573 (1.8271)	Prec@1 50.781 (52.153)	Prec@5 84.375 (81.627)
Epoch: [74][12050/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 1.9375 (1.8271)	Prec@1 56.250 (52.153)	Prec@5 74.219 (81.625)
Epoch: [74][12060/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 1.9040 (1.8271)	Prec@1 54.688 (52.153)	Prec@5 77.344 (81.625)
Epoch: [74][12070/14090]	Time 0.869 (0.767)	Data 0.001 (0.001)	Loss 1.7119 (1.8271)	Prec@1 55.469 (52.153)	Prec@5 85.938 (81.626)
Epoch: [74][12080/14090]	Time 0.769 (0.767)	Data 0.001 (0.001)	Loss 1.9950 (1.8272)	Prec@1 49.219 (52.152)	Prec@5 79.688 (81.625)
Epoch: [74][12090/14090]	Time 0.771 (0.767)	Data 0.001 (0.001)	Loss 1.7697 (1.8272)	Prec@1 50.000 (52.150)	Prec@5 80.469 (81.624)
Epoch: [74][12100/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 1.6979 (1.8272)	Prec@1 57.031 (52.150)	Prec@5 84.375 (81.625)
Epoch: [74][12110/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 1.7969 (1.8272)	Prec@1 52.344 (52.149)	Prec@5 78.125 (81.625)
Epoch: [74][12120/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 1.7260 (1.8270)	Prec@1 53.906 (52.151)	Prec@5 83.594 (81.627)
Epoch: [74][12130/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 1.6544 (1.8271)	Prec@1 53.125 (52.151)	Prec@5 85.156 (81.626)
Epoch: [74][12140/14090]	Time 0.877 (0.767)	Data 0.001 (0.001)	Loss 1.8163 (1.8271)	Prec@1 55.469 (52.151)	Prec@5 80.469 (81.626)
Epoch: [74][12150/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 1.6428 (1.8271)	Prec@1 60.938 (52.152)	Prec@5 85.938 (81.626)
Epoch: [74][12160/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 1.7964 (1.8271)	Prec@1 56.250 (52.153)	Prec@5 82.031 (81.625)
Epoch: [74][12170/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 1.7290 (1.8271)	Prec@1 54.688 (52.154)	Prec@5 84.375 (81.625)
Epoch: [74][12180/14090]	Time 0.767 (0.767)	Data 0.001 (0.001)	Loss 2.0616 (1.8271)	Prec@1 49.219 (52.154)	Prec@5 75.000 (81.624)
Epoch: [74][12190/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 1.8650 (1.8272)	Prec@1 48.438 (52.152)	Prec@5 81.250 (81.622)
Epoch: [74][12200/14090]	Time 0.787 (0.767)	Data 0.001 (0.001)	Loss 1.8416 (1.8273)	Prec@1 51.562 (52.150)	Prec@5 81.250 (81.621)
Epoch: [74][12210/14090]	Time 0.833 (0.767)	Data 0.001 (0.001)	Loss 1.7438 (1.8272)	Prec@1 55.469 (52.152)	Prec@5 83.594 (81.623)
Epoch: [74][12220/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 2.3351 (1.8272)	Prec@1 44.531 (52.150)	Prec@5 71.875 (81.621)
Epoch: [74][12230/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 2.1740 (1.8273)	Prec@1 44.531 (52.149)	Prec@5 76.562 (81.619)
Epoch: [74][12240/14090]	Time 0.735 (0.767)	Data 0.003 (0.001)	Loss 1.8868 (1.8273)	Prec@1 55.469 (52.149)	Prec@5 80.469 (81.619)
Epoch: [74][12250/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 1.6189 (1.8272)	Prec@1 53.125 (52.151)	Prec@5 84.375 (81.620)
Epoch: [74][12260/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 2.0518 (1.8272)	Prec@1 49.219 (52.151)	Prec@5 81.250 (81.620)
Epoch: [74][12270/14090]	Time 0.773 (0.767)	Data 0.001 (0.001)	Loss 1.8821 (1.8272)	Prec@1 53.125 (52.153)	Prec@5 76.562 (81.620)
Epoch: [74][12280/14090]	Time 0.894 (0.767)	Data 0.001 (0.001)	Loss 1.9669 (1.8272)	Prec@1 56.250 (52.153)	Prec@5 80.469 (81.620)
Epoch: [74][12290/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 2.0249 (1.8273)	Prec@1 47.656 (52.152)	Prec@5 79.688 (81.619)
Epoch: [74][12300/14090]	Time 0.722 (0.767)	Data 0.001 (0.001)	Loss 2.1864 (1.8273)	Prec@1 40.625 (52.151)	Prec@5 75.781 (81.619)
Epoch: [74][12310/14090]	Time 0.768 (0.767)	Data 0.001 (0.001)	Loss 2.0725 (1.8274)	Prec@1 48.438 (52.150)	Prec@5 76.562 (81.619)
Epoch: [74][12320/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 1.9104 (1.8274)	Prec@1 51.562 (52.151)	Prec@5 78.906 (81.620)
Epoch: [74][12330/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 1.8133 (1.8274)	Prec@1 54.688 (52.153)	Prec@5 83.594 (81.620)
Epoch: [74][12340/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 1.8881 (1.8274)	Prec@1 50.000 (52.152)	Prec@5 80.469 (81.620)
Epoch: [74][12350/14090]	Time 0.864 (0.767)	Data 0.001 (0.001)	Loss 1.7781 (1.8275)	Prec@1 52.344 (52.151)	Prec@5 83.594 (81.619)
Epoch: [74][12360/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 2.0776 (1.8274)	Prec@1 46.875 (52.152)	Prec@5 80.469 (81.621)
Epoch: [74][12370/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 1.8056 (1.8274)	Prec@1 52.344 (52.152)	Prec@5 81.250 (81.621)
Epoch: [74][12380/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 1.9476 (1.8274)	Prec@1 48.438 (52.153)	Prec@5 77.344 (81.621)
Epoch: [74][12390/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 1.7603 (1.8275)	Prec@1 54.688 (52.151)	Prec@5 80.469 (81.619)
Epoch: [74][12400/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 1.8348 (1.8274)	Prec@1 50.781 (52.151)	Prec@5 85.156 (81.621)
Epoch: [74][12410/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 1.4910 (1.8274)	Prec@1 62.500 (52.152)	Prec@5 85.156 (81.622)
Epoch: [74][12420/14090]	Time 0.864 (0.767)	Data 0.001 (0.001)	Loss 2.0023 (1.8274)	Prec@1 49.219 (52.152)	Prec@5 75.781 (81.622)
Epoch: [74][12430/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 1.9714 (1.8273)	Prec@1 46.094 (52.152)	Prec@5 85.938 (81.622)
Epoch: [74][12440/14090]	Time 0.778 (0.767)	Data 0.001 (0.001)	Loss 2.0179 (1.8273)	Prec@1 45.312 (52.151)	Prec@5 80.469 (81.622)
Epoch: [74][12450/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 1.6335 (1.8274)	Prec@1 58.594 (52.152)	Prec@5 80.469 (81.621)
Epoch: [74][12460/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 1.7712 (1.8273)	Prec@1 46.875 (52.151)	Prec@5 84.375 (81.621)
Epoch: [74][12470/14090]	Time 0.725 (0.767)	Data 0.001 (0.001)	Loss 1.9865 (1.8273)	Prec@1 52.344 (52.151)	Prec@5 78.906 (81.621)
Epoch: [74][12480/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 1.6812 (1.8273)	Prec@1 59.375 (52.151)	Prec@5 78.906 (81.621)
Epoch: [74][12490/14090]	Time 0.846 (0.767)	Data 0.001 (0.001)	Loss 1.6262 (1.8274)	Prec@1 53.125 (52.149)	Prec@5 89.062 (81.619)
Epoch: [74][12500/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 1.8994 (1.8274)	Prec@1 46.875 (52.148)	Prec@5 81.250 (81.619)
Epoch: [74][12510/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 1.7008 (1.8274)	Prec@1 52.344 (52.148)	Prec@5 84.375 (81.619)
Epoch: [74][12520/14090]	Time 0.793 (0.767)	Data 0.001 (0.001)	Loss 1.8264 (1.8273)	Prec@1 55.469 (52.150)	Prec@5 82.812 (81.621)
Epoch: [74][12530/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 1.6624 (1.8273)	Prec@1 50.000 (52.150)	Prec@5 86.719 (81.620)
Epoch: [74][12540/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 2.1001 (1.8274)	Prec@1 43.750 (52.150)	Prec@5 82.031 (81.619)
Epoch: [74][12550/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 1.8260 (1.8275)	Prec@1 53.906 (52.149)	Prec@5 80.469 (81.618)
Epoch: [74][12560/14090]	Time 0.954 (0.767)	Data 0.001 (0.001)	Loss 1.9515 (1.8275)	Prec@1 53.906 (52.147)	Prec@5 76.562 (81.617)
Epoch: [74][12570/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 1.8279 (1.8276)	Prec@1 49.219 (52.146)	Prec@5 78.906 (81.616)
Epoch: [74][12580/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 1.9029 (1.8276)	Prec@1 52.344 (52.147)	Prec@5 80.469 (81.615)
Epoch: [74][12590/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 2.0205 (1.8276)	Prec@1 49.219 (52.148)	Prec@5 74.219 (81.615)
Epoch: [74][12600/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 1.8496 (1.8276)	Prec@1 51.562 (52.147)	Prec@5 82.812 (81.613)
Epoch: [74][12610/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 1.8305 (1.8276)	Prec@1 54.688 (52.148)	Prec@5 78.125 (81.613)
Epoch: [74][12620/14090]	Time 0.768 (0.767)	Data 0.001 (0.001)	Loss 1.7319 (1.8276)	Prec@1 51.562 (52.147)	Prec@5 82.812 (81.614)
Epoch: [74][12630/14090]	Time 0.861 (0.767)	Data 0.001 (0.001)	Loss 1.8773 (1.8276)	Prec@1 51.562 (52.146)	Prec@5 81.250 (81.614)
Epoch: [74][12640/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.0668 (1.8276)	Prec@1 49.219 (52.145)	Prec@5 75.000 (81.613)
Epoch: [74][12650/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 1.4517 (1.8276)	Prec@1 63.281 (52.146)	Prec@5 86.719 (81.613)
Epoch: [74][12660/14090]	Time 0.723 (0.767)	Data 0.001 (0.001)	Loss 2.1964 (1.8277)	Prec@1 42.969 (52.144)	Prec@5 78.125 (81.612)
Epoch: [74][12670/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 1.8257 (1.8277)	Prec@1 47.656 (52.144)	Prec@5 81.250 (81.611)
Epoch: [74][12680/14090]	Time 0.767 (0.767)	Data 0.001 (0.001)	Loss 1.6291 (1.8278)	Prec@1 57.031 (52.142)	Prec@5 85.156 (81.611)
Epoch: [74][12690/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 1.8233 (1.8278)	Prec@1 52.344 (52.140)	Prec@5 83.594 (81.610)
Epoch: [74][12700/14090]	Time 0.862 (0.767)	Data 0.001 (0.001)	Loss 1.5791 (1.8277)	Prec@1 58.594 (52.142)	Prec@5 89.844 (81.611)
Epoch: [74][12710/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 1.8867 (1.8277)	Prec@1 53.906 (52.143)	Prec@5 81.250 (81.612)
Epoch: [74][12720/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 1.8511 (1.8277)	Prec@1 53.906 (52.143)	Prec@5 79.688 (81.611)
Epoch: [74][12730/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 1.5739 (1.8277)	Prec@1 57.031 (52.144)	Prec@5 85.938 (81.612)
Epoch: [74][12740/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 1.5105 (1.8277)	Prec@1 56.250 (52.143)	Prec@5 86.719 (81.612)
Epoch: [74][12750/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 1.8964 (1.8278)	Prec@1 46.094 (52.141)	Prec@5 83.594 (81.611)
Epoch: [74][12760/14090]	Time 0.768 (0.767)	Data 0.001 (0.001)	Loss 1.9074 (1.8278)	Prec@1 47.656 (52.141)	Prec@5 80.469 (81.611)
Epoch: [74][12770/14090]	Time 0.839 (0.767)	Data 0.001 (0.001)	Loss 2.0118 (1.8278)	Prec@1 43.750 (52.138)	Prec@5 76.562 (81.610)
Epoch: [74][12780/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 1.8659 (1.8278)	Prec@1 53.125 (52.140)	Prec@5 78.906 (81.610)
Epoch: [74][12790/14090]	Time 0.769 (0.767)	Data 0.001 (0.001)	Loss 1.8758 (1.8279)	Prec@1 55.469 (52.140)	Prec@5 82.031 (81.609)
Epoch: [74][12800/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 1.7299 (1.8279)	Prec@1 53.906 (52.139)	Prec@5 80.469 (81.609)
Epoch: [74][12810/14090]	Time 0.770 (0.767)	Data 0.001 (0.001)	Loss 1.7817 (1.8278)	Prec@1 53.125 (52.139)	Prec@5 82.031 (81.609)
Epoch: [74][12820/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 1.5262 (1.8279)	Prec@1 60.156 (52.139)	Prec@5 86.719 (81.610)
Epoch: [74][12830/14090]	Time 0.777 (0.767)	Data 0.001 (0.001)	Loss 2.0014 (1.8279)	Prec@1 50.000 (52.138)	Prec@5 80.469 (81.610)
Epoch: [74][12840/14090]	Time 0.874 (0.767)	Data 0.001 (0.001)	Loss 1.7876 (1.8279)	Prec@1 48.438 (52.137)	Prec@5 86.719 (81.609)
Epoch: [74][12850/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 1.8006 (1.8279)	Prec@1 52.344 (52.137)	Prec@5 82.031 (81.607)
Epoch: [74][12860/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 2.2058 (1.8280)	Prec@1 45.312 (52.136)	Prec@5 76.562 (81.606)
Epoch: [74][12870/14090]	Time 0.770 (0.767)	Data 0.001 (0.001)	Loss 2.0130 (1.8280)	Prec@1 51.562 (52.137)	Prec@5 78.125 (81.606)
Epoch: [74][12880/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 1.9148 (1.8280)	Prec@1 50.781 (52.137)	Prec@5 82.812 (81.607)
Epoch: [74][12890/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 1.5848 (1.8279)	Prec@1 53.906 (52.137)	Prec@5 88.281 (81.607)
Epoch: [74][12900/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 1.8762 (1.8280)	Prec@1 48.438 (52.136)	Prec@5 79.688 (81.605)
Epoch: [74][12910/14090]	Time 0.858 (0.767)	Data 0.001 (0.001)	Loss 1.6738 (1.8280)	Prec@1 57.031 (52.136)	Prec@5 83.594 (81.606)
Epoch: [74][12920/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 1.7132 (1.8279)	Prec@1 54.688 (52.139)	Prec@5 81.250 (81.606)
Epoch: [74][12930/14090]	Time 0.775 (0.767)	Data 0.001 (0.001)	Loss 1.9808 (1.8279)	Prec@1 48.438 (52.138)	Prec@5 82.031 (81.606)
Epoch: [74][12940/14090]	Time 0.783 (0.767)	Data 0.001 (0.001)	Loss 1.6133 (1.8279)	Prec@1 57.812 (52.138)	Prec@5 83.594 (81.606)
Epoch: [74][12950/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 1.8869 (1.8279)	Prec@1 52.344 (52.138)	Prec@5 80.469 (81.605)
Epoch: [74][12960/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 1.7551 (1.8279)	Prec@1 57.812 (52.139)	Prec@5 81.250 (81.605)
Epoch: [74][12970/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 1.8382 (1.8279)	Prec@1 49.219 (52.140)	Prec@5 82.031 (81.606)
Epoch: [74][12980/14090]	Time 0.858 (0.767)	Data 0.001 (0.001)	Loss 1.7157 (1.8279)	Prec@1 51.562 (52.139)	Prec@5 80.469 (81.606)
Epoch: [74][12990/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 1.4691 (1.8278)	Prec@1 57.031 (52.139)	Prec@5 86.719 (81.607)
Epoch: [74][13000/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 2.0190 (1.8279)	Prec@1 47.656 (52.138)	Prec@5 78.125 (81.607)
Epoch: [74][13010/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 1.6199 (1.8279)	Prec@1 57.031 (52.138)	Prec@5 85.938 (81.609)
Epoch: [74][13020/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 1.9167 (1.8279)	Prec@1 50.781 (52.138)	Prec@5 76.562 (81.607)
Epoch: [74][13030/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 1.7810 (1.8279)	Prec@1 49.219 (52.138)	Prec@5 85.156 (81.607)
Epoch: [74][13040/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 1.6993 (1.8279)	Prec@1 59.375 (52.138)	Prec@5 84.375 (81.607)
Epoch: [74][13050/14090]	Time 0.894 (0.767)	Data 0.001 (0.001)	Loss 1.8217 (1.8279)	Prec@1 46.094 (52.137)	Prec@5 82.812 (81.608)
Epoch: [74][13060/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 1.8332 (1.8279)	Prec@1 52.344 (52.137)	Prec@5 81.250 (81.608)
Epoch: [74][13070/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 2.1651 (1.8280)	Prec@1 45.312 (52.136)	Prec@5 77.344 (81.607)
Epoch: [74][13080/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 1.9578 (1.8280)	Prec@1 53.125 (52.136)	Prec@5 77.344 (81.607)
Epoch: [74][13090/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 1.7924 (1.8280)	Prec@1 54.688 (52.135)	Prec@5 83.594 (81.607)
Epoch: [74][13100/14090]	Time 0.766 (0.767)	Data 0.001 (0.001)	Loss 1.6566 (1.8279)	Prec@1 55.469 (52.135)	Prec@5 84.375 (81.609)
Epoch: [74][13110/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 1.9646 (1.8280)	Prec@1 51.562 (52.135)	Prec@5 79.688 (81.608)
Epoch: [74][13120/14090]	Time 0.886 (0.767)	Data 0.001 (0.001)	Loss 1.9731 (1.8280)	Prec@1 49.219 (52.135)	Prec@5 75.000 (81.607)
Epoch: [74][13130/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.0336 (1.8280)	Prec@1 44.531 (52.135)	Prec@5 76.562 (81.606)
Epoch: [74][13140/14090]	Time 0.763 (0.767)	Data 0.001 (0.001)	Loss 2.0816 (1.8281)	Prec@1 43.750 (52.133)	Prec@5 76.562 (81.606)
Epoch: [74][13150/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 1.6749 (1.8281)	Prec@1 50.000 (52.133)	Prec@5 87.500 (81.606)
Epoch: [74][13160/14090]	Time 0.773 (0.767)	Data 0.001 (0.001)	Loss 1.9841 (1.8281)	Prec@1 47.656 (52.133)	Prec@5 81.250 (81.606)
Epoch: [74][13170/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 1.8831 (1.8281)	Prec@1 53.125 (52.133)	Prec@5 76.562 (81.606)
Epoch: [74][13180/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 1.6934 (1.8280)	Prec@1 53.906 (52.134)	Prec@5 87.500 (81.607)
Epoch: [74][13190/14090]	Time 0.869 (0.767)	Data 0.001 (0.001)	Loss 1.8707 (1.8280)	Prec@1 50.781 (52.135)	Prec@5 78.906 (81.607)
Epoch: [74][13200/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 1.7961 (1.8281)	Prec@1 47.656 (52.134)	Prec@5 79.688 (81.606)
Epoch: [74][13210/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 1.9191 (1.8280)	Prec@1 50.781 (52.135)	Prec@5 76.562 (81.605)
Epoch: [74][13220/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 1.7158 (1.8280)	Prec@1 56.250 (52.135)	Prec@5 85.938 (81.605)
Epoch: [74][13230/14090]	Time 0.769 (0.767)	Data 0.001 (0.001)	Loss 1.8709 (1.8280)	Prec@1 48.438 (52.134)	Prec@5 79.688 (81.605)
Epoch: [74][13240/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 1.9281 (1.8280)	Prec@1 45.312 (52.134)	Prec@5 77.344 (81.605)
Epoch: [74][13250/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 2.0895 (1.8280)	Prec@1 47.656 (52.135)	Prec@5 78.906 (81.605)
Epoch: [74][13260/14090]	Time 0.877 (0.767)	Data 0.001 (0.001)	Loss 1.4945 (1.8280)	Prec@1 58.594 (52.134)	Prec@5 87.500 (81.606)
Epoch: [74][13270/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 1.6848 (1.8281)	Prec@1 50.000 (52.130)	Prec@5 85.938 (81.605)
Epoch: [74][13280/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 1.8451 (1.8281)	Prec@1 50.781 (52.129)	Prec@5 84.375 (81.604)
Epoch: [74][13290/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 1.9619 (1.8281)	Prec@1 46.875 (52.129)	Prec@5 78.906 (81.605)
Epoch: [74][13300/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 1.7999 (1.8282)	Prec@1 50.781 (52.127)	Prec@5 84.375 (81.605)
Epoch: [74][13310/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 1.7342 (1.8282)	Prec@1 53.125 (52.127)	Prec@5 82.812 (81.604)
Epoch: [74][13320/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 1.6951 (1.8282)	Prec@1 55.469 (52.127)	Prec@5 83.594 (81.604)
Epoch: [74][13330/14090]	Time 0.880 (0.767)	Data 0.001 (0.001)	Loss 1.9629 (1.8283)	Prec@1 52.344 (52.126)	Prec@5 78.125 (81.603)
Epoch: [74][13340/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 1.7580 (1.8284)	Prec@1 47.656 (52.125)	Prec@5 80.469 (81.602)
Epoch: [74][13350/14090]	Time 0.782 (0.767)	Data 0.001 (0.001)	Loss 1.9115 (1.8284)	Prec@1 45.312 (52.125)	Prec@5 80.469 (81.602)
Epoch: [74][13360/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 1.8734 (1.8284)	Prec@1 50.000 (52.126)	Prec@5 82.812 (81.602)
Epoch: [74][13370/14090]	Time 0.765 (0.767)	Data 0.001 (0.001)	Loss 1.9862 (1.8283)	Prec@1 44.531 (52.127)	Prec@5 78.125 (81.602)
Epoch: [74][13380/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 1.6962 (1.8283)	Prec@1 56.250 (52.128)	Prec@5 85.156 (81.603)
Epoch: [74][13390/14090]	Time 0.767 (0.767)	Data 0.001 (0.001)	Loss 1.7064 (1.8283)	Prec@1 56.250 (52.128)	Prec@5 83.594 (81.603)
Epoch: [74][13400/14090]	Time 0.897 (0.767)	Data 0.002 (0.001)	Loss 1.9522 (1.8283)	Prec@1 49.219 (52.128)	Prec@5 77.344 (81.602)
Epoch: [74][13410/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 1.9721 (1.8282)	Prec@1 52.344 (52.129)	Prec@5 80.469 (81.603)
Epoch: [74][13420/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 2.0335 (1.8282)	Prec@1 46.094 (52.129)	Prec@5 79.688 (81.603)
Epoch: [74][13430/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 2.0642 (1.8283)	Prec@1 48.438 (52.128)	Prec@5 80.469 (81.602)
Epoch: [74][13440/14090]	Time 0.765 (0.767)	Data 0.001 (0.001)	Loss 1.8545 (1.8283)	Prec@1 46.094 (52.129)	Prec@5 82.812 (81.603)
Epoch: [74][13450/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 1.9330 (1.8283)	Prec@1 55.469 (52.128)	Prec@5 80.469 (81.601)
Epoch: [74][13460/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 2.0675 (1.8283)	Prec@1 45.312 (52.128)	Prec@5 78.125 (81.600)
Epoch: [74][13470/14090]	Time 0.886 (0.767)	Data 0.001 (0.001)	Loss 1.9015 (1.8283)	Prec@1 50.000 (52.126)	Prec@5 79.688 (81.600)
Epoch: [74][13480/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 1.8997 (1.8283)	Prec@1 49.219 (52.125)	Prec@5 81.250 (81.601)
Epoch: [74][13490/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 1.9681 (1.8283)	Prec@1 47.656 (52.125)	Prec@5 79.688 (81.601)
Epoch: [74][13500/14090]	Time 0.766 (0.767)	Data 0.001 (0.001)	Loss 1.8623 (1.8283)	Prec@1 48.438 (52.124)	Prec@5 83.594 (81.601)
Epoch: [74][13510/14090]	Time 0.763 (0.767)	Data 0.001 (0.001)	Loss 1.8037 (1.8283)	Prec@1 47.656 (52.124)	Prec@5 82.812 (81.602)
Epoch: [74][13520/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 1.7766 (1.8284)	Prec@1 51.562 (52.122)	Prec@5 85.156 (81.601)
Epoch: [74][13530/14090]	Time 0.769 (0.767)	Data 0.001 (0.001)	Loss 1.6566 (1.8284)	Prec@1 53.906 (52.122)	Prec@5 85.156 (81.601)
Epoch: [74][13540/14090]	Time 0.863 (0.767)	Data 0.001 (0.001)	Loss 1.8065 (1.8285)	Prec@1 50.000 (52.119)	Prec@5 82.031 (81.600)
Epoch: [74][13550/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 2.0152 (1.8284)	Prec@1 50.000 (52.121)	Prec@5 79.688 (81.599)
Epoch: [74][13560/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.0671 (1.8285)	Prec@1 50.000 (52.121)	Prec@5 78.125 (81.599)
Epoch: [74][13570/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 1.8162 (1.8285)	Prec@1 53.125 (52.120)	Prec@5 85.156 (81.598)
Epoch: [74][13580/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 1.7558 (1.8285)	Prec@1 50.781 (52.120)	Prec@5 79.688 (81.597)
Epoch: [74][13590/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 2.0114 (1.8286)	Prec@1 41.406 (52.118)	Prec@5 78.125 (81.596)
Epoch: [74][13600/14090]	Time 0.767 (0.767)	Data 0.001 (0.001)	Loss 1.6470 (1.8286)	Prec@1 55.469 (52.119)	Prec@5 89.062 (81.597)
Epoch: [74][13610/14090]	Time 0.850 (0.767)	Data 0.001 (0.001)	Loss 1.5131 (1.8285)	Prec@1 55.469 (52.120)	Prec@5 89.844 (81.599)
Epoch: [74][13620/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 1.8288 (1.8285)	Prec@1 58.594 (52.121)	Prec@5 82.031 (81.598)
Epoch: [74][13630/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 1.8134 (1.8285)	Prec@1 55.469 (52.119)	Prec@5 85.156 (81.599)
Epoch: [74][13640/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 1.7005 (1.8286)	Prec@1 57.812 (52.119)	Prec@5 83.594 (81.598)
Epoch: [74][13650/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 1.9448 (1.8286)	Prec@1 53.125 (52.119)	Prec@5 80.469 (81.598)
Epoch: [74][13660/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 1.6922 (1.8285)	Prec@1 52.344 (52.119)	Prec@5 85.938 (81.599)
Epoch: [74][13670/14090]	Time 0.725 (0.767)	Data 0.001 (0.001)	Loss 1.5879 (1.8285)	Prec@1 57.812 (52.120)	Prec@5 83.594 (81.599)
Epoch: [74][13680/14090]	Time 0.880 (0.767)	Data 0.001 (0.001)	Loss 1.8634 (1.8285)	Prec@1 53.125 (52.122)	Prec@5 80.469 (81.599)
Epoch: [74][13690/14090]	Time 0.764 (0.767)	Data 0.001 (0.001)	Loss 1.8514 (1.8285)	Prec@1 53.906 (52.122)	Prec@5 80.469 (81.599)
Epoch: [74][13700/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 1.6758 (1.8285)	Prec@1 56.250 (52.121)	Prec@5 86.719 (81.597)
Epoch: [74][13710/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 1.7177 (1.8286)	Prec@1 58.594 (52.119)	Prec@5 83.594 (81.597)
Epoch: [74][13720/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 1.7734 (1.8285)	Prec@1 52.344 (52.120)	Prec@5 82.031 (81.597)
Epoch: [74][13730/14090]	Time 0.727 (0.767)	Data 0.001 (0.001)	Loss 1.9294 (1.8285)	Prec@1 51.562 (52.121)	Prec@5 78.906 (81.598)
Epoch: [74][13740/14090]	Time 0.775 (0.767)	Data 0.001 (0.001)	Loss 2.1958 (1.8285)	Prec@1 43.750 (52.120)	Prec@5 75.000 (81.598)
Epoch: [74][13750/14090]	Time 0.819 (0.767)	Data 0.001 (0.001)	Loss 1.7614 (1.8285)	Prec@1 57.031 (52.121)	Prec@5 82.812 (81.598)
Epoch: [74][13760/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 2.0797 (1.8286)	Prec@1 46.094 (52.120)	Prec@5 77.344 (81.596)
Epoch: [74][13770/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 1.8466 (1.8286)	Prec@1 50.000 (52.119)	Prec@5 82.031 (81.597)
Epoch: [74][13780/14090]	Time 0.772 (0.767)	Data 0.001 (0.001)	Loss 1.7653 (1.8286)	Prec@1 54.688 (52.119)	Prec@5 80.469 (81.596)
Epoch: [74][13790/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 1.6817 (1.8286)	Prec@1 62.500 (52.120)	Prec@5 85.156 (81.596)
Epoch: [74][13800/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 1.8580 (1.8286)	Prec@1 50.000 (52.120)	Prec@5 81.250 (81.596)
Epoch: [74][13810/14090]	Time 0.780 (0.767)	Data 0.001 (0.001)	Loss 1.9414 (1.8286)	Prec@1 51.562 (52.120)	Prec@5 80.469 (81.596)
Epoch: [74][13820/14090]	Time 0.892 (0.767)	Data 0.001 (0.001)	Loss 1.7529 (1.8286)	Prec@1 52.344 (52.120)	Prec@5 81.250 (81.596)
Epoch: [74][13830/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 1.9808 (1.8286)	Prec@1 49.219 (52.120)	Prec@5 78.906 (81.596)
Epoch: [74][13840/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 1.9271 (1.8286)	Prec@1 51.562 (52.119)	Prec@5 78.906 (81.595)
Epoch: [74][13850/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 1.8156 (1.8286)	Prec@1 57.812 (52.120)	Prec@5 82.031 (81.595)
Epoch: [74][13860/14090]	Time 0.776 (0.767)	Data 0.001 (0.001)	Loss 1.9732 (1.8286)	Prec@1 53.906 (52.121)	Prec@5 79.688 (81.596)
Epoch: [74][13870/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 2.1321 (1.8286)	Prec@1 46.875 (52.120)	Prec@5 78.125 (81.595)
Epoch: [74][13880/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 2.0724 (1.8286)	Prec@1 48.438 (52.121)	Prec@5 76.562 (81.595)
Epoch: [74][13890/14090]	Time 0.874 (0.767)	Data 0.001 (0.001)	Loss 1.7559 (1.8287)	Prec@1 50.000 (52.120)	Prec@5 82.812 (81.595)
Epoch: [74][13900/14090]	Time 0.779 (0.767)	Data 0.001 (0.001)	Loss 1.6131 (1.8287)	Prec@1 57.812 (52.120)	Prec@5 88.281 (81.595)
Epoch: [74][13910/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 1.7976 (1.8287)	Prec@1 50.000 (52.120)	Prec@5 80.469 (81.595)
Epoch: [74][13920/14090]	Time 0.775 (0.767)	Data 0.001 (0.001)	Loss 1.7751 (1.8287)	Prec@1 53.906 (52.119)	Prec@5 83.594 (81.595)
Epoch: [74][13930/14090]	Time 0.772 (0.767)	Data 0.001 (0.001)	Loss 1.9195 (1.8287)	Prec@1 53.906 (52.119)	Prec@5 77.344 (81.594)
Epoch: [74][13940/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 2.0052 (1.8286)	Prec@1 50.000 (52.121)	Prec@5 78.125 (81.595)
Epoch: [74][13950/14090]	Time 0.772 (0.767)	Data 0.001 (0.001)	Loss 1.8862 (1.8286)	Prec@1 53.906 (52.121)	Prec@5 78.906 (81.595)
Epoch: [74][13960/14090]	Time 0.871 (0.767)	Data 0.001 (0.001)	Loss 1.9325 (1.8286)	Prec@1 52.344 (52.122)	Prec@5 78.906 (81.595)
Epoch: [74][13970/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 1.8841 (1.8287)	Prec@1 50.000 (52.122)	Prec@5 78.125 (81.594)
Epoch: [74][13980/14090]	Time 0.787 (0.767)	Data 0.001 (0.001)	Loss 1.9630 (1.8287)	Prec@1 46.094 (52.121)	Prec@5 77.344 (81.593)
Epoch: [74][13990/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 1.8472 (1.8287)	Prec@1 46.094 (52.121)	Prec@5 84.375 (81.594)
Epoch: [74][14000/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 1.7800 (1.8287)	Prec@1 53.125 (52.121)	Prec@5 84.375 (81.595)
Epoch: [74][14010/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 1.7864 (1.8287)	Prec@1 50.000 (52.121)	Prec@5 82.812 (81.594)
Epoch: [74][14020/14090]	Time 0.775 (0.767)	Data 0.001 (0.001)	Loss 1.6821 (1.8287)	Prec@1 60.938 (52.123)	Prec@5 86.719 (81.595)
Epoch: [74][14030/14090]	Time 0.909 (0.767)	Data 0.001 (0.001)	Loss 1.7257 (1.8287)	Prec@1 51.562 (52.123)	Prec@5 84.375 (81.595)
Epoch: [74][14040/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 1.5811 (1.8286)	Prec@1 56.250 (52.122)	Prec@5 84.375 (81.596)
Epoch: [74][14050/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 1.6508 (1.8286)	Prec@1 57.812 (52.122)	Prec@5 82.031 (81.595)
Epoch: [74][14060/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 1.5850 (1.8286)	Prec@1 58.594 (52.123)	Prec@5 85.938 (81.597)
Epoch: [74][14070/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 1.6668 (1.8286)	Prec@1 55.469 (52.123)	Prec@5 85.156 (81.596)
Epoch: [74][14080/14090]	Time 0.746 (0.767)	Data 0.000 (0.001)	Loss 1.5247 (1.8286)	Prec@1 56.250 (52.123)	Prec@5 85.938 (81.595)
Test: [0/286]	Time 3.887 (3.887)	Loss 1.2632 (1.2632)	Prec@1 57.812 (57.812)	Prec@5 95.312 (95.312)
Test: [10/286]	Time 0.238 (0.655)	Loss 1.7089 (1.7627)	Prec@1 56.250 (54.616)	Prec@5 89.844 (85.014)
Test: [20/286]	Time 0.227 (0.515)	Loss 1.4737 (1.7184)	Prec@1 58.594 (54.464)	Prec@5 90.625 (85.603)
Test: [30/286]	Time 0.228 (0.453)	Loss 1.9200 (1.6404)	Prec@1 52.344 (56.855)	Prec@5 82.812 (85.786)
Test: [40/286]	Time 1.088 (0.440)	Loss 1.6372 (1.6499)	Prec@1 50.000 (56.383)	Prec@5 86.719 (85.709)
Test: [50/286]	Time 0.420 (0.423)	Loss 0.4911 (1.6469)	Prec@1 90.625 (56.526)	Prec@5 95.312 (85.861)
Test: [60/286]	Time 0.239 (0.407)	Loss 2.8184 (1.6705)	Prec@1 32.031 (55.981)	Prec@5 64.062 (84.913)
Test: [70/286]	Time 0.286 (0.396)	Loss 1.1233 (1.6523)	Prec@1 68.750 (56.162)	Prec@5 92.969 (85.299)
Test: [80/286]	Time 0.955 (0.398)	Loss 1.9200 (1.6848)	Prec@1 44.531 (55.015)	Prec@5 81.250 (84.983)
Test: [90/286]	Time 0.311 (0.392)	Loss 1.7939 (1.6923)	Prec@1 48.438 (54.816)	Prec@5 86.719 (84.907)
Test: [100/286]	Time 0.238 (0.385)	Loss 2.1786 (1.7028)	Prec@1 32.031 (54.162)	Prec@5 80.469 (84.932)
Test: [110/286]	Time 0.231 (0.379)	Loss 2.2264 (1.7200)	Prec@1 44.531 (53.751)	Prec@5 77.344 (84.783)
Test: [120/286]	Time 1.089 (0.383)	Loss 1.6084 (1.7086)	Prec@1 64.062 (54.139)	Prec@5 78.125 (84.879)
Test: [130/286]	Time 0.232 (0.380)	Loss 0.8490 (1.6979)	Prec@1 74.219 (54.509)	Prec@5 96.094 (85.043)
Test: [140/286]	Time 0.269 (0.377)	Loss 2.2426 (1.6917)	Prec@1 49.219 (54.604)	Prec@5 74.219 (85.040)
Test: [150/286]	Time 0.235 (0.375)	Loss 2.6204 (1.7036)	Prec@1 28.125 (54.186)	Prec@5 76.562 (84.960)
Test: [160/286]	Time 0.333 (0.373)	Loss 2.5187 (1.7005)	Prec@1 25.781 (54.309)	Prec@5 73.438 (84.967)
Test: [170/286]	Time 0.340 (0.372)	Loss 2.1691 (1.6960)	Prec@1 39.844 (54.349)	Prec@5 78.125 (85.065)
Test: [180/286]	Time 0.566 (0.375)	Loss 1.7779 (1.7080)	Prec@1 60.156 (54.144)	Prec@5 80.469 (84.915)
Test: [190/286]	Time 0.230 (0.372)	Loss 2.7912 (1.7265)	Prec@1 17.969 (53.628)	Prec@5 73.438 (84.731)
Test: [200/286]	Time 0.242 (0.370)	Loss 1.7760 (1.7219)	Prec@1 62.500 (53.832)	Prec@5 85.938 (84.736)
Test: [210/286]	Time 0.329 (0.369)	Loss 1.7919 (1.7246)	Prec@1 57.031 (53.710)	Prec@5 82.812 (84.693)
Test: [220/286]	Time 0.395 (0.372)	Loss 2.7911 (1.7318)	Prec@1 25.000 (53.641)	Prec@5 69.531 (84.531)
Test: [230/286]	Time 0.232 (0.370)	Loss 1.1660 (1.7296)	Prec@1 67.969 (53.768)	Prec@5 87.500 (84.504)
Test: [240/286]	Time 0.232 (0.369)	Loss 1.7243 (1.7266)	Prec@1 52.344 (53.880)	Prec@5 86.719 (84.544)
Test: [250/286]	Time 0.229 (0.367)	Loss 1.7697 (1.7178)	Prec@1 47.656 (53.956)	Prec@5 81.250 (84.720)
Test: [260/286]	Time 0.312 (0.370)	Loss 1.4413 (1.7081)	Prec@1 60.156 (54.221)	Prec@5 86.719 (84.866)
Test: [270/286]	Time 0.311 (0.369)	Loss 1.1040 (1.7077)	Prec@1 70.312 (54.255)	Prec@5 93.750 (84.905)
Test: [280/286]	Time 0.225 (0.367)	Loss 1.5695 (1.6931)	Prec@1 63.281 (54.765)	Prec@5 91.406 (85.053)
 * Prec@1 54.880 Prec@5 85.083
Epoch: [75][0/14090]	Time 5.386 (5.386)	Data 4.527 (4.527)	Loss 1.9340 (1.9340)	Prec@1 49.219 (49.219)	Prec@5 81.250 (81.250)
Epoch: [75][10/14090]	Time 0.746 (1.156)	Data 0.001 (0.412)	Loss 1.9644 (1.8938)	Prec@1 52.344 (50.710)	Prec@5 81.250 (80.256)
Epoch: [75][20/14090]	Time 0.742 (0.962)	Data 0.001 (0.216)	Loss 1.8717 (1.8384)	Prec@1 45.312 (51.153)	Prec@5 76.562 (81.101)
Epoch: [75][30/14090]	Time 0.732 (0.895)	Data 0.001 (0.147)	Loss 1.6663 (1.8343)	Prec@1 53.906 (51.310)	Prec@5 82.812 (81.275)
Epoch: [75][40/14090]	Time 0.770 (0.858)	Data 0.001 (0.111)	Loss 1.7567 (1.8127)	Prec@1 54.688 (51.982)	Prec@5 82.812 (81.574)
Epoch: [75][50/14090]	Time 0.737 (0.840)	Data 0.001 (0.090)	Loss 1.7898 (1.8063)	Prec@1 54.688 (52.482)	Prec@5 81.250 (81.801)
Epoch: [75][60/14090]	Time 0.723 (0.826)	Data 0.001 (0.075)	Loss 1.7869 (1.8081)	Prec@1 52.344 (52.293)	Prec@5 82.812 (81.916)
Epoch: [75][70/14090]	Time 0.805 (0.816)	Data 0.001 (0.065)	Loss 1.8203 (1.8072)	Prec@1 51.562 (52.190)	Prec@5 79.688 (81.855)
Epoch: [75][80/14090]	Time 0.754 (0.809)	Data 0.001 (0.057)	Loss 1.8675 (1.8059)	Prec@1 51.562 (52.517)	Prec@5 78.125 (81.887)
Epoch: [75][90/14090]	Time 0.761 (0.805)	Data 0.001 (0.051)	Loss 1.7713 (1.8056)	Prec@1 56.250 (52.258)	Prec@5 84.375 (81.945)
Epoch: [75][100/14090]	Time 0.725 (0.801)	Data 0.001 (0.046)	Loss 2.0156 (1.8085)	Prec@1 49.219 (52.243)	Prec@5 76.562 (81.737)
Epoch: [75][110/14090]	Time 0.761 (0.797)	Data 0.001 (0.042)	Loss 1.7420 (1.8051)	Prec@1 58.594 (52.499)	Prec@5 79.688 (81.736)
Epoch: [75][120/14090]	Time 0.765 (0.796)	Data 0.001 (0.038)	Loss 1.7588 (1.8024)	Prec@1 57.031 (52.596)	Prec@5 82.812 (81.812)
Epoch: [75][130/14090]	Time 0.791 (0.793)	Data 0.001 (0.035)	Loss 1.5609 (1.8021)	Prec@1 60.156 (52.612)	Prec@5 83.594 (81.870)
Epoch: [75][140/14090]	Time 0.826 (0.790)	Data 0.001 (0.033)	Loss 1.6405 (1.8037)	Prec@1 57.031 (52.643)	Prec@5 89.062 (81.865)
Epoch: [75][150/14090]	Time 0.766 (0.788)	Data 0.001 (0.031)	Loss 1.9161 (1.8000)	Prec@1 51.562 (52.685)	Prec@5 77.344 (81.980)
Epoch: [75][160/14090]	Time 0.764 (0.787)	Data 0.001 (0.029)	Loss 1.8403 (1.8027)	Prec@1 53.906 (52.717)	Prec@5 85.938 (81.924)
Epoch: [75][170/14090]	Time 0.746 (0.786)	Data 0.001 (0.027)	Loss 1.9668 (1.8035)	Prec@1 46.094 (52.746)	Prec@5 77.344 (81.926)
Epoch: [75][180/14090]	Time 0.779 (0.785)	Data 0.001 (0.026)	Loss 1.5507 (1.7988)	Prec@1 61.719 (52.892)	Prec@5 85.938 (82.014)
Epoch: [75][190/14090]	Time 0.787 (0.785)	Data 0.001 (0.025)	Loss 1.7989 (1.7938)	Prec@1 51.562 (52.990)	Prec@5 85.938 (82.134)
Epoch: [75][200/14090]	Time 0.782 (0.784)	Data 0.001 (0.023)	Loss 1.7654 (1.7920)	Prec@1 48.438 (52.977)	Prec@5 84.375 (82.171)
Epoch: [75][210/14090]	Time 0.849 (0.783)	Data 0.001 (0.022)	Loss 1.7652 (1.7942)	Prec@1 50.000 (52.973)	Prec@5 81.250 (82.087)
Epoch: [75][220/14090]	Time 0.740 (0.781)	Data 0.001 (0.021)	Loss 1.8337 (1.7960)	Prec@1 54.688 (53.008)	Prec@5 82.031 (82.056)
Epoch: [75][230/14090]	Time 0.736 (0.780)	Data 0.001 (0.020)	Loss 1.7590 (1.7983)	Prec@1 51.562 (52.895)	Prec@5 83.594 (82.004)
Epoch: [75][240/14090]	Time 0.770 (0.780)	Data 0.001 (0.020)	Loss 1.6190 (1.7963)	Prec@1 57.812 (52.947)	Prec@5 85.938 (82.028)
Epoch: [75][250/14090]	Time 0.731 (0.780)	Data 0.001 (0.019)	Loss 1.7217 (1.7977)	Prec@1 52.344 (52.935)	Prec@5 82.031 (82.034)
Epoch: [75][260/14090]	Time 0.731 (0.779)	Data 0.001 (0.018)	Loss 1.8215 (1.7950)	Prec@1 51.562 (52.981)	Prec@5 81.250 (82.031)
Epoch: [75][270/14090]	Time 0.765 (0.778)	Data 0.001 (0.018)	Loss 1.7911 (1.7942)	Prec@1 53.906 (53.013)	Prec@5 78.906 (82.049)
Epoch: [75][280/14090]	Time 0.760 (0.778)	Data 0.001 (0.017)	Loss 1.7804 (1.7940)	Prec@1 55.469 (53.017)	Prec@5 79.688 (82.031)
Epoch: [75][290/14090]	Time 0.758 (0.777)	Data 0.002 (0.016)	Loss 1.7408 (1.7945)	Prec@1 52.344 (53.020)	Prec@5 80.469 (81.988)
Epoch: [75][300/14090]	Time 0.802 (0.776)	Data 0.001 (0.016)	Loss 1.8551 (1.7954)	Prec@1 48.438 (52.967)	Prec@5 79.688 (81.974)
Epoch: [75][310/14090]	Time 0.757 (0.776)	Data 0.001 (0.015)	Loss 1.7063 (1.7928)	Prec@1 49.219 (52.999)	Prec@5 82.812 (81.981)
Epoch: [75][320/14090]	Time 0.764 (0.775)	Data 0.001 (0.015)	Loss 1.5386 (1.7930)	Prec@1 59.375 (52.974)	Prec@5 88.281 (81.975)
Epoch: [75][330/14090]	Time 0.795 (0.775)	Data 0.001 (0.015)	Loss 1.8186 (1.7942)	Prec@1 57.031 (52.972)	Prec@5 78.125 (81.944)
Epoch: [75][340/14090]	Time 0.733 (0.775)	Data 0.001 (0.014)	Loss 1.8786 (1.7938)	Prec@1 51.562 (52.962)	Prec@5 78.906 (81.930)
Epoch: [75][350/14090]	Time 0.795 (0.774)	Data 0.001 (0.014)	Loss 2.1062 (1.7960)	Prec@1 46.875 (52.920)	Prec@5 76.562 (81.895)
Epoch: [75][360/14090]	Time 0.755 (0.774)	Data 0.001 (0.013)	Loss 1.7597 (1.7956)	Prec@1 55.469 (52.922)	Prec@5 82.812 (81.934)
Epoch: [75][370/14090]	Time 0.737 (0.773)	Data 0.001 (0.013)	Loss 1.8779 (1.7961)	Prec@1 57.812 (52.898)	Prec@5 82.031 (81.926)
Epoch: [75][380/14090]	Time 0.742 (0.773)	Data 0.001 (0.013)	Loss 1.8427 (1.7964)	Prec@1 53.906 (52.885)	Prec@5 81.250 (81.947)
Epoch: [75][390/14090]	Time 0.759 (0.772)	Data 0.001 (0.012)	Loss 1.7706 (1.7969)	Prec@1 54.688 (52.873)	Prec@5 85.156 (81.933)
Epoch: [75][400/14090]	Time 0.763 (0.772)	Data 0.001 (0.012)	Loss 1.7969 (1.7990)	Prec@1 53.125 (52.831)	Prec@5 82.812 (81.891)
Epoch: [75][410/14090]	Time 0.781 (0.772)	Data 0.001 (0.012)	Loss 1.7669 (1.7994)	Prec@1 47.656 (52.813)	Prec@5 82.031 (81.881)
Epoch: [75][420/14090]	Time 0.791 (0.772)	Data 0.001 (0.012)	Loss 1.7545 (1.8017)	Prec@1 53.125 (52.769)	Prec@5 85.938 (81.853)
Epoch: [75][430/14090]	Time 0.733 (0.771)	Data 0.001 (0.011)	Loss 1.7205 (1.8020)	Prec@1 50.781 (52.779)	Prec@5 85.938 (81.863)
Epoch: [75][440/14090]	Time 0.736 (0.771)	Data 0.001 (0.011)	Loss 1.6031 (1.8004)	Prec@1 56.250 (52.799)	Prec@5 84.375 (81.879)
Epoch: [75][450/14090]	Time 0.726 (0.771)	Data 0.001 (0.011)	Loss 1.6950 (1.8008)	Prec@1 56.250 (52.815)	Prec@5 85.156 (81.894)
Epoch: [75][460/14090]	Time 0.735 (0.770)	Data 0.001 (0.011)	Loss 1.9074 (1.8007)	Prec@1 49.219 (52.803)	Prec@5 78.906 (81.891)
Epoch: [75][470/14090]	Time 0.749 (0.771)	Data 0.001 (0.010)	Loss 2.0725 (1.8006)	Prec@1 45.312 (52.787)	Prec@5 79.688 (81.910)
Epoch: [75][480/14090]	Time 0.750 (0.770)	Data 0.001 (0.010)	Loss 1.9478 (1.8014)	Prec@1 53.906 (52.781)	Prec@5 78.906 (81.901)
Epoch: [75][490/14090]	Time 0.809 (0.770)	Data 0.001 (0.010)	Loss 1.6468 (1.8018)	Prec@1 54.688 (52.783)	Prec@5 86.719 (81.920)
Epoch: [75][500/14090]	Time 0.750 (0.770)	Data 0.001 (0.010)	Loss 2.0657 (1.8033)	Prec@1 46.875 (52.768)	Prec@5 77.344 (81.896)
Epoch: [75][510/14090]	Time 0.732 (0.770)	Data 0.001 (0.010)	Loss 1.8193 (1.8030)	Prec@1 50.781 (52.741)	Prec@5 79.688 (81.884)
Epoch: [75][520/14090]	Time 0.732 (0.770)	Data 0.001 (0.010)	Loss 1.7025 (1.8029)	Prec@1 56.250 (52.744)	Prec@5 83.594 (81.910)
Epoch: [75][530/14090]	Time 0.753 (0.769)	Data 0.001 (0.009)	Loss 1.6815 (1.8047)	Prec@1 54.688 (52.700)	Prec@5 86.719 (81.909)
Epoch: [75][540/14090]	Time 0.770 (0.769)	Data 0.001 (0.009)	Loss 1.8436 (1.8043)	Prec@1 46.094 (52.674)	Prec@5 81.250 (81.900)
Epoch: [75][550/14090]	Time 0.738 (0.769)	Data 0.001 (0.009)	Loss 1.7800 (1.8050)	Prec@1 54.688 (52.660)	Prec@5 82.812 (81.905)
Epoch: [75][560/14090]	Time 0.794 (0.769)	Data 0.001 (0.009)	Loss 1.6268 (1.8037)	Prec@1 59.375 (52.685)	Prec@5 83.594 (81.932)
Epoch: [75][570/14090]	Time 0.747 (0.769)	Data 0.001 (0.009)	Loss 1.4520 (1.8033)	Prec@1 61.719 (52.716)	Prec@5 85.156 (81.937)
Epoch: [75][580/14090]	Time 0.734 (0.769)	Data 0.001 (0.009)	Loss 1.6096 (1.8032)	Prec@1 60.938 (52.726)	Prec@5 85.156 (81.944)
Epoch: [75][590/14090]	Time 0.750 (0.769)	Data 0.001 (0.008)	Loss 1.8111 (1.8030)	Prec@1 50.000 (52.723)	Prec@5 78.125 (81.952)
Epoch: [75][600/14090]	Time 0.740 (0.769)	Data 0.001 (0.008)	Loss 2.1222 (1.8042)	Prec@1 41.406 (52.725)	Prec@5 75.000 (81.925)
Epoch: [75][610/14090]	Time 0.759 (0.769)	Data 0.001 (0.008)	Loss 2.1676 (1.8041)	Prec@1 44.531 (52.718)	Prec@5 75.781 (81.938)
Epoch: [75][620/14090]	Time 0.800 (0.768)	Data 0.001 (0.008)	Loss 1.8755 (1.8047)	Prec@1 52.344 (52.690)	Prec@5 79.688 (81.928)
Epoch: [75][630/14090]	Time 0.873 (0.769)	Data 0.001 (0.008)	Loss 1.9020 (1.8046)	Prec@1 46.875 (52.667)	Prec@5 82.031 (81.915)
Epoch: [75][640/14090]	Time 0.758 (0.769)	Data 0.001 (0.008)	Loss 1.7883 (1.8055)	Prec@1 54.688 (52.642)	Prec@5 82.031 (81.913)
Epoch: [75][650/14090]	Time 0.772 (0.769)	Data 0.001 (0.008)	Loss 1.6678 (1.8046)	Prec@1 57.031 (52.663)	Prec@5 83.594 (81.932)
Epoch: [75][660/14090]	Time 0.729 (0.768)	Data 0.001 (0.008)	Loss 2.0037 (1.8057)	Prec@1 50.000 (52.626)	Prec@5 80.469 (81.915)
Epoch: [75][670/14090]	Time 0.756 (0.768)	Data 0.001 (0.008)	Loss 1.7020 (1.8045)	Prec@1 52.344 (52.644)	Prec@5 82.031 (81.935)
Epoch: [75][680/14090]	Time 0.765 (0.768)	Data 0.001 (0.007)	Loss 1.8411 (1.8048)	Prec@1 52.344 (52.658)	Prec@5 78.125 (81.920)
Epoch: [75][690/14090]	Time 0.745 (0.768)	Data 0.001 (0.007)	Loss 1.6569 (1.8056)	Prec@1 59.375 (52.650)	Prec@5 84.375 (81.907)
Epoch: [75][700/14090]	Time 0.784 (0.768)	Data 0.001 (0.007)	Loss 2.0590 (1.8063)	Prec@1 43.750 (52.608)	Prec@5 74.219 (81.877)
Epoch: [75][710/14090]	Time 0.734 (0.768)	Data 0.001 (0.007)	Loss 1.4837 (1.8064)	Prec@1 59.375 (52.614)	Prec@5 84.375 (81.880)
Epoch: [75][720/14090]	Time 0.742 (0.768)	Data 0.001 (0.007)	Loss 1.7423 (1.8070)	Prec@1 53.125 (52.593)	Prec@5 85.938 (81.873)
Epoch: [75][730/14090]	Time 0.729 (0.768)	Data 0.001 (0.007)	Loss 1.7893 (1.8073)	Prec@1 54.688 (52.580)	Prec@5 82.031 (81.862)
Epoch: [75][740/14090]	Time 0.740 (0.767)	Data 0.001 (0.007)	Loss 1.8654 (1.8069)	Prec@1 45.312 (52.573)	Prec@5 84.375 (81.878)
Epoch: [75][750/14090]	Time 0.723 (0.767)	Data 0.001 (0.007)	Loss 1.6984 (1.8065)	Prec@1 57.812 (52.595)	Prec@5 79.688 (81.879)
Epoch: [75][760/14090]	Time 0.747 (0.767)	Data 0.001 (0.007)	Loss 1.9276 (1.8059)	Prec@1 47.656 (52.593)	Prec@5 78.906 (81.898)
Epoch: [75][770/14090]	Time 0.795 (0.767)	Data 0.001 (0.007)	Loss 2.0647 (1.8068)	Prec@1 50.000 (52.588)	Prec@5 76.562 (81.891)
Epoch: [75][780/14090]	Time 0.752 (0.767)	Data 0.004 (0.007)	Loss 1.9608 (1.8059)	Prec@1 46.875 (52.598)	Prec@5 78.906 (81.916)
Epoch: [75][790/14090]	Time 0.723 (0.767)	Data 0.001 (0.007)	Loss 1.8211 (1.8059)	Prec@1 49.219 (52.584)	Prec@5 81.250 (81.921)
Epoch: [75][800/14090]	Time 0.764 (0.767)	Data 0.001 (0.007)	Loss 1.8616 (1.8064)	Prec@1 51.562 (52.571)	Prec@5 80.469 (81.901)
Epoch: [75][810/14090]	Time 0.766 (0.767)	Data 0.001 (0.006)	Loss 2.0182 (1.8058)	Prec@1 51.562 (52.584)	Prec@5 77.344 (81.905)
Epoch: [75][820/14090]	Time 0.749 (0.767)	Data 0.001 (0.006)	Loss 1.9057 (1.8061)	Prec@1 50.000 (52.585)	Prec@5 80.469 (81.888)
Epoch: [75][830/14090]	Time 0.746 (0.767)	Data 0.001 (0.006)	Loss 1.9721 (1.8066)	Prec@1 48.438 (52.577)	Prec@5 81.250 (81.881)
Epoch: [75][840/14090]	Time 0.791 (0.767)	Data 0.001 (0.006)	Loss 1.7231 (1.8066)	Prec@1 55.469 (52.564)	Prec@5 82.812 (81.884)
Epoch: [75][850/14090]	Time 0.742 (0.767)	Data 0.001 (0.006)	Loss 2.0338 (1.8064)	Prec@1 51.562 (52.576)	Prec@5 75.781 (81.879)
Epoch: [75][860/14090]	Time 0.738 (0.767)	Data 0.001 (0.006)	Loss 1.7388 (1.8069)	Prec@1 53.125 (52.572)	Prec@5 85.156 (81.864)
Epoch: [75][870/14090]	Time 0.772 (0.767)	Data 0.001 (0.006)	Loss 1.7271 (1.8062)	Prec@1 53.906 (52.598)	Prec@5 84.375 (81.881)
Epoch: [75][880/14090]	Time 0.781 (0.767)	Data 0.001 (0.006)	Loss 1.8488 (1.8064)	Prec@1 48.438 (52.565)	Prec@5 79.688 (81.876)
Epoch: [75][890/14090]	Time 0.761 (0.767)	Data 0.001 (0.006)	Loss 1.8442 (1.8060)	Prec@1 50.781 (52.565)	Prec@5 83.594 (81.881)
Epoch: [75][900/14090]	Time 0.725 (0.767)	Data 0.001 (0.006)	Loss 2.0439 (1.8069)	Prec@1 53.125 (52.563)	Prec@5 76.562 (81.864)
Epoch: [75][910/14090]	Time 0.868 (0.767)	Data 0.001 (0.006)	Loss 1.7844 (1.8069)	Prec@1 57.031 (52.579)	Prec@5 82.812 (81.875)
Epoch: [75][920/14090]	Time 0.777 (0.767)	Data 0.001 (0.006)	Loss 1.8149 (1.8070)	Prec@1 57.031 (52.591)	Prec@5 81.250 (81.885)
Epoch: [75][930/14090]	Time 0.805 (0.767)	Data 0.001 (0.006)	Loss 1.4721 (1.8072)	Prec@1 64.844 (52.593)	Prec@5 88.281 (81.880)
Epoch: [75][940/14090]	Time 0.761 (0.767)	Data 0.001 (0.006)	Loss 1.9566 (1.8071)	Prec@1 46.094 (52.589)	Prec@5 79.688 (81.886)
Epoch: [75][950/14090]	Time 0.740 (0.767)	Data 0.001 (0.006)	Loss 1.8578 (1.8073)	Prec@1 45.312 (52.593)	Prec@5 82.812 (81.873)
Epoch: [75][960/14090]	Time 0.743 (0.767)	Data 0.001 (0.006)	Loss 1.8810 (1.8070)	Prec@1 56.250 (52.601)	Prec@5 78.906 (81.887)
Epoch: [75][970/14090]	Time 0.754 (0.767)	Data 0.001 (0.006)	Loss 1.9244 (1.8069)	Prec@1 52.344 (52.602)	Prec@5 77.344 (81.899)
Epoch: [75][980/14090]	Time 0.802 (0.767)	Data 0.001 (0.005)	Loss 1.8073 (1.8067)	Prec@1 56.250 (52.612)	Prec@5 83.594 (81.905)
Epoch: [75][990/14090]	Time 0.721 (0.767)	Data 0.001 (0.005)	Loss 1.8124 (1.8071)	Prec@1 56.250 (52.616)	Prec@5 82.031 (81.903)
Epoch: [75][1000/14090]	Time 0.775 (0.767)	Data 0.001 (0.005)	Loss 1.7859 (1.8072)	Prec@1 53.125 (52.615)	Prec@5 82.031 (81.899)
Epoch: [75][1010/14090]	Time 0.788 (0.767)	Data 0.001 (0.005)	Loss 1.9443 (1.8065)	Prec@1 46.875 (52.630)	Prec@5 78.906 (81.904)
Epoch: [75][1020/14090]	Time 0.753 (0.766)	Data 0.001 (0.005)	Loss 1.9247 (1.8064)	Prec@1 49.219 (52.632)	Prec@5 80.469 (81.910)
Epoch: [75][1030/14090]	Time 0.756 (0.766)	Data 0.001 (0.005)	Loss 1.9536 (1.8059)	Prec@1 50.781 (52.638)	Prec@5 78.906 (81.921)
Epoch: [75][1040/14090]	Time 0.759 (0.766)	Data 0.001 (0.005)	Loss 1.6625 (1.8056)	Prec@1 56.250 (52.644)	Prec@5 85.938 (81.923)
Epoch: [75][1050/14090]	Time 0.798 (0.766)	Data 0.001 (0.005)	Loss 1.7718 (1.8069)	Prec@1 50.781 (52.628)	Prec@5 79.688 (81.888)
Epoch: [75][1060/14090]	Time 0.745 (0.766)	Data 0.001 (0.005)	Loss 1.7700 (1.8071)	Prec@1 49.219 (52.609)	Prec@5 82.812 (81.892)
Epoch: [75][1070/14090]	Time 0.730 (0.766)	Data 0.001 (0.005)	Loss 2.0154 (1.8072)	Prec@1 46.875 (52.600)	Prec@5 81.250 (81.899)
Epoch: [75][1080/14090]	Time 0.776 (0.766)	Data 0.001 (0.005)	Loss 1.6805 (1.8069)	Prec@1 54.688 (52.604)	Prec@5 84.375 (81.906)
Epoch: [75][1090/14090]	Time 0.746 (0.766)	Data 0.001 (0.005)	Loss 1.3494 (1.8062)	Prec@1 59.375 (52.617)	Prec@5 91.406 (81.905)
Epoch: [75][1100/14090]	Time 0.763 (0.766)	Data 0.001 (0.005)	Loss 1.7263 (1.8061)	Prec@1 57.031 (52.611)	Prec@5 85.156 (81.912)
Epoch: [75][1110/14090]	Time 0.787 (0.766)	Data 0.001 (0.005)	Loss 1.5636 (1.8056)	Prec@1 60.938 (52.638)	Prec@5 89.062 (81.924)
Epoch: [75][1120/14090]	Time 0.842 (0.766)	Data 0.001 (0.005)	Loss 1.7052 (1.8054)	Prec@1 58.594 (52.648)	Prec@5 80.469 (81.929)
Epoch: [75][1130/14090]	Time 0.736 (0.766)	Data 0.001 (0.005)	Loss 1.7866 (1.8050)	Prec@1 51.562 (52.663)	Prec@5 85.156 (81.935)
Epoch: [75][1140/14090]	Time 0.773 (0.766)	Data 0.001 (0.005)	Loss 1.7752 (1.8046)	Prec@1 51.562 (52.672)	Prec@5 85.938 (81.946)
Epoch: [75][1150/14090]	Time 0.744 (0.766)	Data 0.001 (0.005)	Loss 1.8590 (1.8043)	Prec@1 56.250 (52.672)	Prec@5 77.344 (81.953)
Epoch: [75][1160/14090]	Time 0.748 (0.766)	Data 0.001 (0.005)	Loss 1.9869 (1.8042)	Prec@1 46.875 (52.674)	Prec@5 76.562 (81.961)
Epoch: [75][1170/14090]	Time 0.751 (0.766)	Data 0.001 (0.005)	Loss 1.8418 (1.8046)	Prec@1 54.688 (52.673)	Prec@5 80.469 (81.955)
Epoch: [75][1180/14090]	Time 0.739 (0.766)	Data 0.001 (0.005)	Loss 1.6887 (1.8042)	Prec@1 55.469 (52.678)	Prec@5 83.594 (81.961)
Epoch: [75][1190/14090]	Time 0.842 (0.766)	Data 0.001 (0.005)	Loss 1.9082 (1.8045)	Prec@1 50.781 (52.663)	Prec@5 78.125 (81.953)
Epoch: [75][1200/14090]	Time 0.784 (0.766)	Data 0.001 (0.005)	Loss 1.6542 (1.8042)	Prec@1 51.562 (52.666)	Prec@5 83.594 (81.963)
Epoch: [75][1210/14090]	Time 0.751 (0.766)	Data 0.001 (0.005)	Loss 1.8911 (1.8044)	Prec@1 44.531 (52.651)	Prec@5 84.375 (81.962)
Epoch: [75][1220/14090]	Time 0.731 (0.766)	Data 0.001 (0.005)	Loss 1.7457 (1.8043)	Prec@1 55.469 (52.669)	Prec@5 80.469 (81.954)
Epoch: [75][1230/14090]	Time 0.785 (0.766)	Data 0.001 (0.005)	Loss 1.7486 (1.8046)	Prec@1 56.250 (52.657)	Prec@5 78.125 (81.943)
Epoch: [75][1240/14090]	Time 0.785 (0.766)	Data 0.001 (0.005)	Loss 2.0068 (1.8053)	Prec@1 48.438 (52.655)	Prec@5 77.344 (81.924)
Epoch: [75][1250/14090]	Time 0.759 (0.766)	Data 0.001 (0.004)	Loss 2.0209 (1.8055)	Prec@1 50.000 (52.648)	Prec@5 78.125 (81.922)
Epoch: [75][1260/14090]	Time 0.900 (0.766)	Data 0.001 (0.004)	Loss 1.5263 (1.8052)	Prec@1 62.500 (52.647)	Prec@5 87.500 (81.935)
Epoch: [75][1270/14090]	Time 0.735 (0.766)	Data 0.001 (0.004)	Loss 2.0802 (1.8053)	Prec@1 46.875 (52.635)	Prec@5 80.469 (81.930)
Epoch: [75][1280/14090]	Time 0.759 (0.766)	Data 0.001 (0.004)	Loss 1.9320 (1.8049)	Prec@1 48.438 (52.628)	Prec@5 83.594 (81.942)
Epoch: [75][1290/14090]	Time 0.806 (0.766)	Data 0.001 (0.004)	Loss 1.8440 (1.8052)	Prec@1 58.594 (52.626)	Prec@5 81.250 (81.942)
Epoch: [75][1300/14090]	Time 0.766 (0.766)	Data 0.001 (0.004)	Loss 1.5607 (1.8055)	Prec@1 60.156 (52.620)	Prec@5 85.938 (81.941)
Epoch: [75][1310/14090]	Time 0.752 (0.766)	Data 0.001 (0.004)	Loss 1.5953 (1.8050)	Prec@1 53.125 (52.620)	Prec@5 85.938 (81.951)
Epoch: [75][1320/14090]	Time 0.735 (0.765)	Data 0.001 (0.004)	Loss 1.8088 (1.8050)	Prec@1 54.688 (52.626)	Prec@5 82.812 (81.947)
Epoch: [75][1330/14090]	Time 0.827 (0.765)	Data 0.001 (0.004)	Loss 1.8280 (1.8050)	Prec@1 53.125 (52.622)	Prec@5 83.594 (81.949)
Epoch: [75][1340/14090]	Time 0.745 (0.765)	Data 0.001 (0.004)	Loss 1.9257 (1.8051)	Prec@1 48.438 (52.606)	Prec@5 84.375 (81.960)
Epoch: [75][1350/14090]	Time 0.738 (0.765)	Data 0.001 (0.004)	Loss 1.8361 (1.8049)	Prec@1 50.781 (52.606)	Prec@5 78.125 (81.966)
Epoch: [75][1360/14090]	Time 0.746 (0.765)	Data 0.001 (0.004)	Loss 2.0811 (1.8050)	Prec@1 44.531 (52.591)	Prec@5 77.344 (81.964)
Epoch: [75][1370/14090]	Time 0.779 (0.765)	Data 0.001 (0.004)	Loss 1.8942 (1.8050)	Prec@1 51.562 (52.594)	Prec@5 79.688 (81.960)
Epoch: [75][1380/14090]	Time 0.733 (0.765)	Data 0.001 (0.004)	Loss 1.6152 (1.8052)	Prec@1 54.688 (52.586)	Prec@5 81.250 (81.952)
Epoch: [75][1390/14090]	Time 0.739 (0.765)	Data 0.001 (0.004)	Loss 2.0398 (1.8049)	Prec@1 41.406 (52.586)	Prec@5 80.469 (81.954)
Epoch: [75][1400/14090]	Time 0.847 (0.765)	Data 0.001 (0.004)	Loss 1.6523 (1.8048)	Prec@1 50.781 (52.582)	Prec@5 85.938 (81.948)
Epoch: [75][1410/14090]	Time 0.727 (0.765)	Data 0.001 (0.004)	Loss 1.6616 (1.8053)	Prec@1 57.031 (52.568)	Prec@5 85.938 (81.945)
Epoch: [75][1420/14090]	Time 0.750 (0.765)	Data 0.001 (0.004)	Loss 1.8065 (1.8054)	Prec@1 51.562 (52.574)	Prec@5 82.812 (81.936)
Epoch: [75][1430/14090]	Time 0.779 (0.765)	Data 0.001 (0.004)	Loss 1.9266 (1.8055)	Prec@1 53.906 (52.567)	Prec@5 83.594 (81.946)
Epoch: [75][1440/14090]	Time 0.783 (0.765)	Data 0.001 (0.004)	Loss 1.8477 (1.8057)	Prec@1 57.812 (52.573)	Prec@5 80.469 (81.954)
Epoch: [75][1450/14090]	Time 0.755 (0.765)	Data 0.001 (0.004)	Loss 1.8733 (1.8061)	Prec@1 50.781 (52.567)	Prec@5 82.031 (81.953)
Epoch: [75][1460/14090]	Time 0.732 (0.765)	Data 0.001 (0.004)	Loss 1.8598 (1.8070)	Prec@1 50.781 (52.548)	Prec@5 77.344 (81.941)
Epoch: [75][1470/14090]	Time 0.844 (0.765)	Data 0.001 (0.004)	Loss 1.6696 (1.8070)	Prec@1 57.812 (52.548)	Prec@5 86.719 (81.940)
Epoch: [75][1480/14090]	Time 0.792 (0.765)	Data 0.001 (0.004)	Loss 1.8324 (1.8069)	Prec@1 51.562 (52.549)	Prec@5 80.469 (81.938)
Epoch: [75][1490/14090]	Time 0.759 (0.765)	Data 0.002 (0.004)	Loss 1.7079 (1.8069)	Prec@1 57.031 (52.557)	Prec@5 78.906 (81.935)
Epoch: [75][1500/14090]	Time 0.750 (0.765)	Data 0.001 (0.004)	Loss 1.8695 (1.8068)	Prec@1 48.438 (52.570)	Prec@5 82.812 (81.940)
Epoch: [75][1510/14090]	Time 0.751 (0.765)	Data 0.001 (0.004)	Loss 1.8046 (1.8063)	Prec@1 52.344 (52.568)	Prec@5 82.812 (81.949)
Epoch: [75][1520/14090]	Time 0.755 (0.765)	Data 0.001 (0.004)	Loss 1.6323 (1.8064)	Prec@1 57.812 (52.567)	Prec@5 85.938 (81.951)
Epoch: [75][1530/14090]	Time 0.767 (0.765)	Data 0.001 (0.004)	Loss 1.8456 (1.8064)	Prec@1 50.000 (52.564)	Prec@5 82.031 (81.954)
Epoch: [75][1540/14090]	Time 0.871 (0.765)	Data 0.001 (0.004)	Loss 1.7174 (1.8068)	Prec@1 53.125 (52.553)	Prec@5 79.688 (81.943)
Epoch: [75][1550/14090]	Time 0.747 (0.765)	Data 0.001 (0.004)	Loss 1.6006 (1.8070)	Prec@1 55.469 (52.549)	Prec@5 84.375 (81.933)
Epoch: [75][1560/14090]	Time 0.729 (0.765)	Data 0.001 (0.004)	Loss 1.7949 (1.8075)	Prec@1 50.781 (52.531)	Prec@5 84.375 (81.924)
Epoch: [75][1570/14090]	Time 0.771 (0.765)	Data 0.001 (0.004)	Loss 1.6365 (1.8079)	Prec@1 54.688 (52.522)	Prec@5 86.719 (81.926)
Epoch: [75][1580/14090]	Time 0.777 (0.765)	Data 0.001 (0.004)	Loss 1.7904 (1.8076)	Prec@1 51.562 (52.524)	Prec@5 78.906 (81.925)
Epoch: [75][1590/14090]	Time 0.755 (0.765)	Data 0.001 (0.004)	Loss 1.6220 (1.8073)	Prec@1 55.469 (52.525)	Prec@5 85.938 (81.928)
Epoch: [75][1600/14090]	Time 0.732 (0.765)	Data 0.001 (0.004)	Loss 2.0665 (1.8078)	Prec@1 48.438 (52.513)	Prec@5 80.469 (81.924)
Epoch: [75][1610/14090]	Time 0.799 (0.765)	Data 0.001 (0.004)	Loss 1.5882 (1.8078)	Prec@1 56.250 (52.508)	Prec@5 84.375 (81.920)
Epoch: [75][1620/14090]	Time 0.795 (0.765)	Data 0.001 (0.004)	Loss 1.9489 (1.8077)	Prec@1 48.438 (52.503)	Prec@5 82.812 (81.922)
Epoch: [75][1630/14090]	Time 0.778 (0.765)	Data 0.001 (0.004)	Loss 1.7414 (1.8078)	Prec@1 58.594 (52.511)	Prec@5 81.250 (81.918)
Epoch: [75][1640/14090]	Time 0.735 (0.765)	Data 0.001 (0.004)	Loss 1.7441 (1.8078)	Prec@1 53.906 (52.517)	Prec@5 81.250 (81.917)
Epoch: [75][1650/14090]	Time 0.733 (0.765)	Data 0.001 (0.004)	Loss 1.4393 (1.8079)	Prec@1 57.812 (52.517)	Prec@5 89.062 (81.917)
Epoch: [75][1660/14090]	Time 0.752 (0.765)	Data 0.001 (0.004)	Loss 1.9836 (1.8080)	Prec@1 53.125 (52.521)	Prec@5 78.906 (81.912)
Epoch: [75][1670/14090]	Time 0.739 (0.765)	Data 0.001 (0.004)	Loss 1.9102 (1.8088)	Prec@1 54.688 (52.510)	Prec@5 75.000 (81.890)
Epoch: [75][1680/14090]	Time 0.799 (0.765)	Data 0.001 (0.004)	Loss 1.8748 (1.8088)	Prec@1 47.656 (52.506)	Prec@5 78.906 (81.890)
Epoch: [75][1690/14090]	Time 0.770 (0.765)	Data 0.001 (0.004)	Loss 1.8934 (1.8085)	Prec@1 57.031 (52.516)	Prec@5 82.031 (81.894)
Epoch: [75][1700/14090]	Time 0.751 (0.765)	Data 0.001 (0.004)	Loss 1.7949 (1.8089)	Prec@1 58.594 (52.510)	Prec@5 80.469 (81.886)
Epoch: [75][1710/14090]	Time 0.742 (0.765)	Data 0.001 (0.004)	Loss 1.8041 (1.8087)	Prec@1 54.688 (52.511)	Prec@5 81.250 (81.887)
Epoch: [75][1720/14090]	Time 0.758 (0.765)	Data 0.001 (0.004)	Loss 1.5893 (1.8082)	Prec@1 56.250 (52.525)	Prec@5 87.500 (81.900)
Epoch: [75][1730/14090]	Time 0.778 (0.765)	Data 0.001 (0.003)	Loss 1.8728 (1.8083)	Prec@1 53.125 (52.517)	Prec@5 79.688 (81.900)
Epoch: [75][1740/14090]	Time 0.747 (0.765)	Data 0.001 (0.003)	Loss 1.8382 (1.8084)	Prec@1 54.688 (52.515)	Prec@5 82.031 (81.898)
Epoch: [75][1750/14090]	Time 0.784 (0.765)	Data 0.001 (0.003)	Loss 1.6418 (1.8083)	Prec@1 53.906 (52.520)	Prec@5 82.031 (81.899)
Epoch: [75][1760/14090]	Time 0.745 (0.764)	Data 0.001 (0.003)	Loss 1.8576 (1.8084)	Prec@1 49.219 (52.515)	Prec@5 84.375 (81.902)
Epoch: [75][1770/14090]	Time 0.775 (0.764)	Data 0.001 (0.003)	Loss 2.0536 (1.8087)	Prec@1 42.969 (52.509)	Prec@5 78.125 (81.895)
Epoch: [75][1780/14090]	Time 0.741 (0.764)	Data 0.001 (0.003)	Loss 1.8032 (1.8085)	Prec@1 49.219 (52.507)	Prec@5 84.375 (81.904)
Epoch: [75][1790/14090]	Time 0.774 (0.764)	Data 0.002 (0.003)	Loss 1.7938 (1.8086)	Prec@1 50.781 (52.499)	Prec@5 82.812 (81.911)
Epoch: [75][1800/14090]	Time 0.790 (0.764)	Data 0.001 (0.003)	Loss 1.7315 (1.8089)	Prec@1 46.875 (52.476)	Prec@5 85.938 (81.908)
Epoch: [75][1810/14090]	Time 0.748 (0.764)	Data 0.001 (0.003)	Loss 1.6902 (1.8090)	Prec@1 55.469 (52.475)	Prec@5 84.375 (81.906)
Epoch: [75][1820/14090]	Time 0.780 (0.764)	Data 0.001 (0.003)	Loss 1.8965 (1.8093)	Prec@1 50.781 (52.469)	Prec@5 81.250 (81.901)
Epoch: [75][1830/14090]	Time 0.756 (0.764)	Data 0.001 (0.003)	Loss 1.8135 (1.8090)	Prec@1 50.000 (52.475)	Prec@5 89.844 (81.909)
Epoch: [75][1840/14090]	Time 0.745 (0.764)	Data 0.001 (0.003)	Loss 1.7894 (1.8091)	Prec@1 50.000 (52.480)	Prec@5 82.031 (81.904)
Epoch: [75][1850/14090]	Time 0.764 (0.764)	Data 0.001 (0.003)	Loss 1.9022 (1.8096)	Prec@1 49.219 (52.468)	Prec@5 84.375 (81.893)
Epoch: [75][1860/14090]	Time 0.771 (0.764)	Data 0.001 (0.003)	Loss 2.1671 (1.8099)	Prec@1 42.969 (52.457)	Prec@5 75.781 (81.888)
Epoch: [75][1870/14090]	Time 0.741 (0.764)	Data 0.001 (0.003)	Loss 1.7746 (1.8098)	Prec@1 57.812 (52.458)	Prec@5 83.594 (81.904)
Epoch: [75][1880/14090]	Time 0.758 (0.764)	Data 0.001 (0.003)	Loss 1.4459 (1.8101)	Prec@1 61.719 (52.448)	Prec@5 85.938 (81.899)
Epoch: [75][1890/14090]	Time 0.844 (0.764)	Data 0.001 (0.003)	Loss 1.6664 (1.8101)	Prec@1 53.906 (52.445)	Prec@5 84.375 (81.898)
Epoch: [75][1900/14090]	Time 0.772 (0.764)	Data 0.001 (0.003)	Loss 1.9697 (1.8102)	Prec@1 48.438 (52.449)	Prec@5 80.469 (81.893)
Epoch: [75][1910/14090]	Time 0.735 (0.764)	Data 0.001 (0.003)	Loss 1.8276 (1.8105)	Prec@1 52.344 (52.444)	Prec@5 80.469 (81.889)
Epoch: [75][1920/14090]	Time 0.728 (0.764)	Data 0.001 (0.003)	Loss 1.8097 (1.8107)	Prec@1 49.219 (52.440)	Prec@5 82.812 (81.886)
Epoch: [75][1930/14090]	Time 0.775 (0.764)	Data 0.001 (0.003)	Loss 1.6258 (1.8107)	Prec@1 60.938 (52.440)	Prec@5 84.375 (81.882)
Epoch: [75][1940/14090]	Time 0.750 (0.764)	Data 0.001 (0.003)	Loss 1.5743 (1.8106)	Prec@1 56.250 (52.447)	Prec@5 85.938 (81.882)
Epoch: [75][1950/14090]	Time 0.751 (0.764)	Data 0.001 (0.003)	Loss 1.5739 (1.8103)	Prec@1 57.031 (52.457)	Prec@5 85.156 (81.891)
Epoch: [75][1960/14090]	Time 0.781 (0.764)	Data 0.001 (0.003)	Loss 1.9701 (1.8101)	Prec@1 39.844 (52.454)	Prec@5 78.125 (81.895)
Epoch: [75][1970/14090]	Time 0.754 (0.764)	Data 0.001 (0.003)	Loss 1.8247 (1.8102)	Prec@1 50.781 (52.449)	Prec@5 85.156 (81.901)
Epoch: [75][1980/14090]	Time 0.753 (0.764)	Data 0.001 (0.003)	Loss 1.9261 (1.8102)	Prec@1 51.562 (52.447)	Prec@5 81.250 (81.901)
Epoch: [75][1990/14090]	Time 0.733 (0.764)	Data 0.001 (0.003)	Loss 1.7264 (1.8103)	Prec@1 55.469 (52.447)	Prec@5 83.594 (81.903)
Epoch: [75][2000/14090]	Time 0.744 (0.764)	Data 0.001 (0.003)	Loss 1.7831 (1.8101)	Prec@1 55.469 (52.450)	Prec@5 82.812 (81.907)
Epoch: [75][2010/14090]	Time 0.762 (0.764)	Data 0.001 (0.003)	Loss 1.9006 (1.8104)	Prec@1 52.344 (52.439)	Prec@5 79.688 (81.901)
Epoch: [75][2020/14090]	Time 0.731 (0.764)	Data 0.001 (0.003)	Loss 1.7627 (1.8103)	Prec@1 54.688 (52.437)	Prec@5 82.031 (81.901)
Epoch: [75][2030/14090]	Time 0.838 (0.764)	Data 0.001 (0.003)	Loss 1.7979 (1.8105)	Prec@1 57.812 (52.440)	Prec@5 82.031 (81.897)
Epoch: [75][2040/14090]	Time 0.719 (0.764)	Data 0.001 (0.003)	Loss 1.8859 (1.8106)	Prec@1 55.469 (52.443)	Prec@5 81.250 (81.890)
Epoch: [75][2050/14090]	Time 0.748 (0.764)	Data 0.001 (0.003)	Loss 1.6688 (1.8102)	Prec@1 58.594 (52.451)	Prec@5 84.375 (81.900)
Epoch: [75][2060/14090]	Time 0.747 (0.764)	Data 0.001 (0.003)	Loss 2.1459 (1.8105)	Prec@1 46.094 (52.442)	Prec@5 75.781 (81.894)
Epoch: [75][2070/14090]	Time 0.780 (0.764)	Data 0.001 (0.003)	Loss 1.9425 (1.8104)	Prec@1 46.875 (52.448)	Prec@5 84.375 (81.897)
Epoch: [75][2080/14090]	Time 0.740 (0.764)	Data 0.001 (0.003)	Loss 1.8270 (1.8103)	Prec@1 53.125 (52.451)	Prec@5 82.031 (81.902)
Epoch: [75][2090/14090]	Time 0.740 (0.764)	Data 0.001 (0.003)	Loss 1.6350 (1.8101)	Prec@1 59.375 (52.457)	Prec@5 85.938 (81.906)
Epoch: [75][2100/14090]	Time 0.771 (0.764)	Data 0.001 (0.003)	Loss 1.6418 (1.8099)	Prec@1 54.688 (52.456)	Prec@5 84.375 (81.910)
Epoch: [75][2110/14090]	Time 0.772 (0.764)	Data 0.001 (0.003)	Loss 2.0424 (1.8100)	Prec@1 47.656 (52.453)	Prec@5 77.344 (81.908)
Epoch: [75][2120/14090]	Time 0.751 (0.764)	Data 0.001 (0.003)	Loss 1.9724 (1.8102)	Prec@1 48.438 (52.443)	Prec@5 80.469 (81.904)
Epoch: [75][2130/14090]	Time 0.739 (0.764)	Data 0.002 (0.003)	Loss 1.6884 (1.8104)	Prec@1 52.344 (52.431)	Prec@5 86.719 (81.901)
Epoch: [75][2140/14090]	Time 0.755 (0.764)	Data 0.001 (0.003)	Loss 1.7786 (1.8106)	Prec@1 52.344 (52.425)	Prec@5 82.031 (81.891)
Epoch: [75][2150/14090]	Time 0.764 (0.764)	Data 0.004 (0.003)	Loss 1.7288 (1.8105)	Prec@1 57.031 (52.433)	Prec@5 81.250 (81.893)
Epoch: [75][2160/14090]	Time 0.786 (0.764)	Data 0.001 (0.003)	Loss 1.6013 (1.8103)	Prec@1 57.031 (52.434)	Prec@5 87.500 (81.895)
Epoch: [75][2170/14090]	Time 0.835 (0.764)	Data 0.001 (0.003)	Loss 1.9446 (1.8103)	Prec@1 50.781 (52.429)	Prec@5 77.344 (81.896)
Epoch: [75][2180/14090]	Time 0.752 (0.764)	Data 0.001 (0.003)	Loss 1.6761 (1.8101)	Prec@1 53.125 (52.433)	Prec@5 85.156 (81.904)
Epoch: [75][2190/14090]	Time 0.755 (0.764)	Data 0.001 (0.003)	Loss 2.1477 (1.8101)	Prec@1 44.531 (52.424)	Prec@5 75.000 (81.905)
Epoch: [75][2200/14090]	Time 0.735 (0.764)	Data 0.003 (0.003)	Loss 1.7262 (1.8104)	Prec@1 50.781 (52.419)	Prec@5 79.688 (81.897)
Epoch: [75][2210/14090]	Time 0.745 (0.764)	Data 0.001 (0.003)	Loss 1.6313 (1.8103)	Prec@1 55.469 (52.418)	Prec@5 85.938 (81.897)
Epoch: [75][2220/14090]	Time 0.763 (0.764)	Data 0.001 (0.003)	Loss 1.7176 (1.8105)	Prec@1 57.812 (52.419)	Prec@5 79.688 (81.897)
Epoch: [75][2230/14090]	Time 0.759 (0.764)	Data 0.001 (0.003)	Loss 1.8611 (1.8104)	Prec@1 50.000 (52.421)	Prec@5 80.469 (81.898)
Epoch: [75][2240/14090]	Time 0.790 (0.764)	Data 0.001 (0.003)	Loss 2.0360 (1.8105)	Prec@1 48.438 (52.426)	Prec@5 78.125 (81.893)
Epoch: [75][2250/14090]	Time 0.775 (0.764)	Data 0.001 (0.003)	Loss 1.8584 (1.8107)	Prec@1 57.031 (52.420)	Prec@5 78.125 (81.888)
Epoch: [75][2260/14090]	Time 0.764 (0.764)	Data 0.001 (0.003)	Loss 1.9563 (1.8108)	Prec@1 49.219 (52.421)	Prec@5 79.688 (81.886)
Epoch: [75][2270/14090]	Time 0.778 (0.764)	Data 0.002 (0.003)	Loss 1.8168 (1.8106)	Prec@1 50.000 (52.421)	Prec@5 79.688 (81.887)
Epoch: [75][2280/14090]	Time 0.730 (0.764)	Data 0.001 (0.003)	Loss 1.7994 (1.8108)	Prec@1 57.031 (52.420)	Prec@5 80.469 (81.875)
Epoch: [75][2290/14090]	Time 0.728 (0.764)	Data 0.001 (0.003)	Loss 1.7784 (1.8110)	Prec@1 53.906 (52.416)	Prec@5 84.375 (81.871)
Epoch: [75][2300/14090]	Time 0.744 (0.764)	Data 0.001 (0.003)	Loss 1.8505 (1.8109)	Prec@1 53.906 (52.420)	Prec@5 80.469 (81.874)
Epoch: [75][2310/14090]	Time 0.810 (0.764)	Data 0.001 (0.003)	Loss 1.8200 (1.8109)	Prec@1 53.906 (52.423)	Prec@5 77.344 (81.871)
Epoch: [75][2320/14090]	Time 0.735 (0.764)	Data 0.001 (0.003)	Loss 1.8578 (1.8108)	Prec@1 54.688 (52.424)	Prec@5 79.688 (81.868)
Epoch: [75][2330/14090]	Time 0.745 (0.764)	Data 0.002 (0.003)	Loss 1.8227 (1.8110)	Prec@1 49.219 (52.421)	Prec@5 82.031 (81.870)
Epoch: [75][2340/14090]	Time 0.755 (0.764)	Data 0.001 (0.003)	Loss 1.9097 (1.8111)	Prec@1 47.656 (52.420)	Prec@5 80.469 (81.867)
Epoch: [75][2350/14090]	Time 0.773 (0.764)	Data 0.001 (0.003)	Loss 2.0453 (1.8112)	Prec@1 49.219 (52.416)	Prec@5 81.250 (81.872)
Epoch: [75][2360/14090]	Time 0.747 (0.764)	Data 0.001 (0.003)	Loss 1.8528 (1.8113)	Prec@1 51.562 (52.417)	Prec@5 82.812 (81.870)
Epoch: [75][2370/14090]	Time 0.730 (0.764)	Data 0.001 (0.003)	Loss 1.6383 (1.8110)	Prec@1 54.688 (52.423)	Prec@5 85.938 (81.875)
Epoch: [75][2380/14090]	Time 0.854 (0.764)	Data 0.001 (0.003)	Loss 1.8534 (1.8112)	Prec@1 55.469 (52.414)	Prec@5 77.344 (81.869)
Epoch: [75][2390/14090]	Time 0.752 (0.764)	Data 0.001 (0.003)	Loss 1.6989 (1.8109)	Prec@1 53.125 (52.421)	Prec@5 84.375 (81.877)
Epoch: [75][2400/14090]	Time 0.725 (0.764)	Data 0.001 (0.003)	Loss 1.7066 (1.8108)	Prec@1 57.812 (52.425)	Prec@5 82.812 (81.883)
Epoch: [75][2410/14090]	Time 0.754 (0.764)	Data 0.001 (0.003)	Loss 1.8588 (1.8105)	Prec@1 54.688 (52.433)	Prec@5 78.125 (81.890)
Epoch: [75][2420/14090]	Time 0.739 (0.764)	Data 0.001 (0.003)	Loss 1.7636 (1.8103)	Prec@1 51.562 (52.435)	Prec@5 84.375 (81.893)
Epoch: [75][2430/14090]	Time 0.751 (0.764)	Data 0.001 (0.003)	Loss 1.9856 (1.8104)	Prec@1 46.094 (52.442)	Prec@5 78.125 (81.888)
Epoch: [75][2440/14090]	Time 0.730 (0.764)	Data 0.001 (0.003)	Loss 1.9960 (1.8104)	Prec@1 50.781 (52.447)	Prec@5 75.781 (81.891)
Epoch: [75][2450/14090]	Time 0.905 (0.764)	Data 0.001 (0.003)	Loss 1.9320 (1.8106)	Prec@1 46.875 (52.439)	Prec@5 80.469 (81.887)
Epoch: [75][2460/14090]	Time 0.733 (0.764)	Data 0.001 (0.003)	Loss 2.1746 (1.8107)	Prec@1 46.875 (52.435)	Prec@5 76.562 (81.877)
Epoch: [75][2470/14090]	Time 0.785 (0.764)	Data 0.001 (0.003)	Loss 1.9559 (1.8107)	Prec@1 53.125 (52.439)	Prec@5 81.250 (81.869)
Epoch: [75][2480/14090]	Time 0.755 (0.764)	Data 0.001 (0.003)	Loss 1.7498 (1.8111)	Prec@1 51.562 (52.432)	Prec@5 84.375 (81.862)
Epoch: [75][2490/14090]	Time 0.763 (0.764)	Data 0.001 (0.003)	Loss 1.7222 (1.8113)	Prec@1 59.375 (52.434)	Prec@5 84.375 (81.857)
Epoch: [75][2500/14090]	Time 0.740 (0.764)	Data 0.001 (0.003)	Loss 1.7428 (1.8115)	Prec@1 50.000 (52.429)	Prec@5 82.031 (81.859)
Epoch: [75][2510/14090]	Time 0.743 (0.764)	Data 0.001 (0.003)	Loss 1.4915 (1.8110)	Prec@1 65.625 (52.437)	Prec@5 82.812 (81.866)
Epoch: [75][2520/14090]	Time 0.969 (0.764)	Data 0.001 (0.003)	Loss 1.8920 (1.8112)	Prec@1 47.656 (52.432)	Prec@5 79.688 (81.865)
Epoch: [75][2530/14090]	Time 0.725 (0.764)	Data 0.001 (0.003)	Loss 1.5477 (1.8113)	Prec@1 51.562 (52.425)	Prec@5 89.062 (81.866)
Epoch: [75][2540/14090]	Time 0.763 (0.764)	Data 0.001 (0.003)	Loss 1.7964 (1.8112)	Prec@1 46.094 (52.426)	Prec@5 82.812 (81.866)
Epoch: [75][2550/14090]	Time 0.775 (0.764)	Data 0.001 (0.003)	Loss 2.1158 (1.8114)	Prec@1 46.875 (52.427)	Prec@5 77.344 (81.863)
Epoch: [75][2560/14090]	Time 0.733 (0.764)	Data 0.001 (0.003)	Loss 2.0360 (1.8115)	Prec@1 48.438 (52.427)	Prec@5 79.688 (81.862)
Epoch: [75][2570/14090]	Time 0.730 (0.764)	Data 0.001 (0.003)	Loss 1.6801 (1.8114)	Prec@1 55.469 (52.425)	Prec@5 85.938 (81.866)
Epoch: [75][2580/14090]	Time 0.727 (0.764)	Data 0.001 (0.003)	Loss 1.6038 (1.8111)	Prec@1 60.938 (52.433)	Prec@5 82.031 (81.871)
Epoch: [75][2590/14090]	Time 0.777 (0.764)	Data 0.001 (0.003)	Loss 1.7338 (1.8112)	Prec@1 52.344 (52.432)	Prec@5 84.375 (81.874)
Epoch: [75][2600/14090]	Time 0.786 (0.764)	Data 0.001 (0.003)	Loss 1.8724 (1.8111)	Prec@1 53.125 (52.431)	Prec@5 79.688 (81.873)
Epoch: [75][2610/14090]	Time 0.741 (0.764)	Data 0.001 (0.003)	Loss 1.7397 (1.8112)	Prec@1 55.469 (52.433)	Prec@5 82.812 (81.869)
Epoch: [75][2620/14090]	Time 0.724 (0.764)	Data 0.001 (0.003)	Loss 1.8795 (1.8115)	Prec@1 47.656 (52.423)	Prec@5 81.250 (81.860)
Epoch: [75][2630/14090]	Time 0.775 (0.764)	Data 0.001 (0.003)	Loss 1.6726 (1.8114)	Prec@1 57.812 (52.425)	Prec@5 83.594 (81.863)
Epoch: [75][2640/14090]	Time 0.765 (0.764)	Data 0.001 (0.003)	Loss 1.5498 (1.8118)	Prec@1 63.281 (52.418)	Prec@5 81.250 (81.856)
Epoch: [75][2650/14090]	Time 0.731 (0.764)	Data 0.001 (0.003)	Loss 1.8451 (1.8118)	Prec@1 50.000 (52.417)	Prec@5 82.812 (81.861)
Epoch: [75][2660/14090]	Time 0.800 (0.764)	Data 0.001 (0.003)	Loss 1.9463 (1.8114)	Prec@1 48.438 (52.425)	Prec@5 78.125 (81.865)
Epoch: [75][2670/14090]	Time 0.780 (0.764)	Data 0.001 (0.003)	Loss 1.8109 (1.8115)	Prec@1 54.688 (52.422)	Prec@5 82.031 (81.866)
Epoch: [75][2680/14090]	Time 0.769 (0.764)	Data 0.001 (0.003)	Loss 1.6634 (1.8115)	Prec@1 57.812 (52.427)	Prec@5 87.500 (81.869)
Epoch: [75][2690/14090]	Time 0.786 (0.764)	Data 0.001 (0.003)	Loss 1.8593 (1.8117)	Prec@1 48.438 (52.418)	Prec@5 79.688 (81.862)
Epoch: [75][2700/14090]	Time 0.776 (0.764)	Data 0.001 (0.003)	Loss 1.5505 (1.8121)	Prec@1 56.250 (52.408)	Prec@5 89.062 (81.858)
Epoch: [75][2710/14090]	Time 0.736 (0.764)	Data 0.001 (0.003)	Loss 1.6391 (1.8119)	Prec@1 57.812 (52.408)	Prec@5 86.719 (81.859)
Epoch: [75][2720/14090]	Time 0.775 (0.764)	Data 0.001 (0.003)	Loss 1.7891 (1.8120)	Prec@1 52.344 (52.410)	Prec@5 85.156 (81.859)
Epoch: [75][2730/14090]	Time 0.801 (0.763)	Data 0.001 (0.003)	Loss 1.8154 (1.8118)	Prec@1 52.344 (52.411)	Prec@5 79.688 (81.860)
Epoch: [75][2740/14090]	Time 0.737 (0.763)	Data 0.001 (0.003)	Loss 1.9909 (1.8119)	Prec@1 53.125 (52.412)	Prec@5 80.469 (81.861)
Epoch: [75][2750/14090]	Time 0.778 (0.763)	Data 0.001 (0.003)	Loss 1.9289 (1.8120)	Prec@1 52.344 (52.417)	Prec@5 76.562 (81.856)
Epoch: [75][2760/14090]	Time 0.737 (0.763)	Data 0.001 (0.003)	Loss 1.8556 (1.8123)	Prec@1 57.031 (52.412)	Prec@5 82.812 (81.856)
Epoch: [75][2770/14090]	Time 0.741 (0.763)	Data 0.001 (0.003)	Loss 1.7428 (1.8123)	Prec@1 56.250 (52.407)	Prec@5 80.469 (81.855)
Epoch: [75][2780/14090]	Time 0.758 (0.763)	Data 0.001 (0.003)	Loss 1.6514 (1.8122)	Prec@1 57.812 (52.407)	Prec@5 85.156 (81.860)
Epoch: [75][2790/14090]	Time 0.735 (0.763)	Data 0.001 (0.002)	Loss 1.8351 (1.8119)	Prec@1 52.344 (52.418)	Prec@5 81.250 (81.860)
Epoch: [75][2800/14090]	Time 0.792 (0.763)	Data 0.001 (0.002)	Loss 1.8963 (1.8121)	Prec@1 44.531 (52.407)	Prec@5 81.250 (81.858)
Epoch: [75][2810/14090]	Time 0.776 (0.763)	Data 0.001 (0.002)	Loss 1.7800 (1.8122)	Prec@1 55.469 (52.411)	Prec@5 84.375 (81.856)
Epoch: [75][2820/14090]	Time 0.759 (0.763)	Data 0.001 (0.002)	Loss 1.7742 (1.8121)	Prec@1 52.344 (52.410)	Prec@5 82.812 (81.858)
Epoch: [75][2830/14090]	Time 0.756 (0.763)	Data 0.001 (0.002)	Loss 1.7576 (1.8124)	Prec@1 55.469 (52.407)	Prec@5 82.812 (81.850)
Epoch: [75][2840/14090]	Time 0.744 (0.763)	Data 0.001 (0.002)	Loss 1.7141 (1.8124)	Prec@1 58.594 (52.414)	Prec@5 82.031 (81.849)
Epoch: [75][2850/14090]	Time 0.770 (0.763)	Data 0.001 (0.002)	Loss 1.9101 (1.8123)	Prec@1 50.000 (52.415)	Prec@5 82.031 (81.851)
Epoch: [75][2860/14090]	Time 0.739 (0.763)	Data 0.001 (0.002)	Loss 1.6283 (1.8120)	Prec@1 57.031 (52.414)	Prec@5 82.812 (81.857)
Epoch: [75][2870/14090]	Time 0.831 (0.763)	Data 0.001 (0.002)	Loss 1.6156 (1.8119)	Prec@1 55.469 (52.416)	Prec@5 85.156 (81.855)
Epoch: [75][2880/14090]	Time 0.730 (0.763)	Data 0.001 (0.002)	Loss 1.6731 (1.8118)	Prec@1 53.125 (52.420)	Prec@5 83.594 (81.859)
Epoch: [75][2890/14090]	Time 0.739 (0.763)	Data 0.001 (0.002)	Loss 1.7742 (1.8117)	Prec@1 54.688 (52.421)	Prec@5 80.469 (81.866)
Epoch: [75][2900/14090]	Time 0.731 (0.763)	Data 0.001 (0.002)	Loss 1.7841 (1.8116)	Prec@1 53.906 (52.420)	Prec@5 78.125 (81.868)
Epoch: [75][2910/14090]	Time 0.732 (0.763)	Data 0.001 (0.002)	Loss 2.0397 (1.8116)	Prec@1 49.219 (52.426)	Prec@5 77.344 (81.870)
Epoch: [75][2920/14090]	Time 0.734 (0.763)	Data 0.001 (0.002)	Loss 1.9611 (1.8115)	Prec@1 49.219 (52.429)	Prec@5 76.562 (81.871)
Epoch: [75][2930/14090]	Time 0.784 (0.763)	Data 0.001 (0.002)	Loss 1.8276 (1.8116)	Prec@1 49.219 (52.430)	Prec@5 80.469 (81.867)
Epoch: [75][2940/14090]	Time 0.803 (0.763)	Data 0.001 (0.002)	Loss 2.0974 (1.8118)	Prec@1 45.312 (52.425)	Prec@5 77.344 (81.864)
Epoch: [75][2950/14090]	Time 0.771 (0.763)	Data 0.001 (0.002)	Loss 1.6489 (1.8119)	Prec@1 56.250 (52.422)	Prec@5 82.812 (81.864)
Epoch: [75][2960/14090]	Time 0.764 (0.763)	Data 0.001 (0.002)	Loss 1.6173 (1.8117)	Prec@1 57.031 (52.429)	Prec@5 87.500 (81.872)
Epoch: [75][2970/14090]	Time 0.744 (0.763)	Data 0.001 (0.002)	Loss 1.7199 (1.8116)	Prec@1 54.688 (52.434)	Prec@5 82.812 (81.875)
Epoch: [75][2980/14090]	Time 0.738 (0.763)	Data 0.001 (0.002)	Loss 2.1301 (1.8116)	Prec@1 51.562 (52.431)	Prec@5 77.344 (81.873)
Epoch: [75][2990/14090]	Time 0.718 (0.763)	Data 0.001 (0.002)	Loss 1.9409 (1.8119)	Prec@1 54.688 (52.429)	Prec@5 80.469 (81.868)
Epoch: [75][3000/14090]	Time 0.733 (0.763)	Data 0.001 (0.002)	Loss 1.8223 (1.8118)	Prec@1 54.688 (52.434)	Prec@5 86.719 (81.870)
Epoch: [75][3010/14090]	Time 0.830 (0.763)	Data 0.001 (0.002)	Loss 1.6590 (1.8114)	Prec@1 54.688 (52.440)	Prec@5 83.594 (81.875)
Epoch: [75][3020/14090]	Time 0.723 (0.763)	Data 0.001 (0.002)	Loss 1.7774 (1.8115)	Prec@1 56.250 (52.438)	Prec@5 82.031 (81.876)
Epoch: [75][3030/14090]	Time 0.739 (0.763)	Data 0.001 (0.002)	Loss 1.9026 (1.8114)	Prec@1 57.031 (52.433)	Prec@5 76.562 (81.878)
Epoch: [75][3040/14090]	Time 0.740 (0.763)	Data 0.001 (0.002)	Loss 1.5686 (1.8115)	Prec@1 57.031 (52.436)	Prec@5 83.594 (81.881)
Epoch: [75][3050/14090]	Time 0.734 (0.763)	Data 0.001 (0.002)	Loss 2.0629 (1.8116)	Prec@1 46.094 (52.430)	Prec@5 78.125 (81.878)
Epoch: [75][3060/14090]	Time 0.743 (0.763)	Data 0.001 (0.002)	Loss 1.8094 (1.8116)	Prec@1 53.906 (52.433)	Prec@5 79.688 (81.875)
Epoch: [75][3070/14090]	Time 0.730 (0.763)	Data 0.001 (0.002)	Loss 1.8342 (1.8117)	Prec@1 46.094 (52.427)	Prec@5 83.594 (81.876)
Epoch: [75][3080/14090]	Time 0.869 (0.763)	Data 0.001 (0.002)	Loss 1.8969 (1.8119)	Prec@1 57.031 (52.424)	Prec@5 82.031 (81.874)
Epoch: [75][3090/14090]	Time 0.735 (0.763)	Data 0.001 (0.002)	Loss 1.7527 (1.8118)	Prec@1 59.375 (52.432)	Prec@5 81.250 (81.873)
Epoch: [75][3100/14090]	Time 0.741 (0.763)	Data 0.001 (0.002)	Loss 1.9958 (1.8118)	Prec@1 53.906 (52.431)	Prec@5 76.562 (81.872)
Epoch: [75][3110/14090]	Time 0.756 (0.763)	Data 0.001 (0.002)	Loss 1.8155 (1.8120)	Prec@1 53.906 (52.431)	Prec@5 82.031 (81.873)
Epoch: [75][3120/14090]	Time 0.749 (0.763)	Data 0.001 (0.002)	Loss 1.6708 (1.8117)	Prec@1 52.344 (52.434)	Prec@5 84.375 (81.879)
Epoch: [75][3130/14090]	Time 0.756 (0.763)	Data 0.001 (0.002)	Loss 1.8058 (1.8118)	Prec@1 50.781 (52.431)	Prec@5 85.156 (81.874)
Epoch: [75][3140/14090]	Time 0.735 (0.763)	Data 0.001 (0.002)	Loss 1.4087 (1.8116)	Prec@1 63.281 (52.437)	Prec@5 90.625 (81.880)
Epoch: [75][3150/14090]	Time 0.848 (0.763)	Data 0.001 (0.002)	Loss 1.8424 (1.8115)	Prec@1 56.250 (52.441)	Prec@5 82.031 (81.880)
Epoch: [75][3160/14090]	Time 0.733 (0.763)	Data 0.001 (0.002)	Loss 1.6700 (1.8114)	Prec@1 55.469 (52.445)	Prec@5 85.938 (81.880)
Epoch: [75][3170/14090]	Time 0.769 (0.763)	Data 0.001 (0.002)	Loss 2.0102 (1.8115)	Prec@1 50.000 (52.449)	Prec@5 77.344 (81.881)
Epoch: [75][3180/14090]	Time 0.739 (0.763)	Data 0.001 (0.002)	Loss 1.5890 (1.8114)	Prec@1 55.469 (52.455)	Prec@5 85.938 (81.883)
Epoch: [75][3190/14090]	Time 0.734 (0.763)	Data 0.001 (0.002)	Loss 1.9474 (1.8118)	Prec@1 42.969 (52.445)	Prec@5 80.469 (81.881)
Epoch: [75][3200/14090]	Time 0.759 (0.763)	Data 0.001 (0.002)	Loss 2.1149 (1.8117)	Prec@1 46.094 (52.447)	Prec@5 75.781 (81.880)
Epoch: [75][3210/14090]	Time 0.738 (0.763)	Data 0.001 (0.002)	Loss 1.8789 (1.8116)	Prec@1 50.000 (52.448)	Prec@5 78.906 (81.882)
Epoch: [75][3220/14090]	Time 0.831 (0.763)	Data 0.001 (0.002)	Loss 1.9214 (1.8115)	Prec@1 52.344 (52.455)	Prec@5 78.125 (81.880)
Epoch: [75][3230/14090]	Time 0.730 (0.763)	Data 0.001 (0.002)	Loss 2.0013 (1.8116)	Prec@1 46.875 (52.456)	Prec@5 82.031 (81.881)
Epoch: [75][3240/14090]	Time 0.787 (0.763)	Data 0.001 (0.002)	Loss 1.9296 (1.8119)	Prec@1 50.000 (52.446)	Prec@5 84.375 (81.883)
Epoch: [75][3250/14090]	Time 0.758 (0.763)	Data 0.001 (0.002)	Loss 1.6806 (1.8118)	Prec@1 46.875 (52.438)	Prec@5 83.594 (81.886)
Epoch: [75][3260/14090]	Time 0.779 (0.763)	Data 0.001 (0.002)	Loss 1.8167 (1.8117)	Prec@1 49.219 (52.442)	Prec@5 79.688 (81.887)
Epoch: [75][3270/14090]	Time 0.752 (0.763)	Data 0.001 (0.002)	Loss 1.5494 (1.8115)	Prec@1 59.375 (52.442)	Prec@5 86.719 (81.887)
Epoch: [75][3280/14090]	Time 0.786 (0.763)	Data 0.001 (0.002)	Loss 1.5638 (1.8113)	Prec@1 54.688 (52.448)	Prec@5 88.281 (81.893)
Epoch: [75][3290/14090]	Time 0.792 (0.763)	Data 0.001 (0.002)	Loss 1.8202 (1.8115)	Prec@1 51.562 (52.445)	Prec@5 78.906 (81.888)
Epoch: [75][3300/14090]	Time 0.723 (0.763)	Data 0.001 (0.002)	Loss 1.8460 (1.8114)	Prec@1 42.969 (52.441)	Prec@5 82.031 (81.891)
Epoch: [75][3310/14090]	Time 0.753 (0.763)	Data 0.001 (0.002)	Loss 1.8324 (1.8115)	Prec@1 52.344 (52.442)	Prec@5 85.156 (81.894)
Epoch: [75][3320/14090]	Time 0.777 (0.763)	Data 0.001 (0.002)	Loss 2.0391 (1.8115)	Prec@1 51.562 (52.439)	Prec@5 81.250 (81.894)
Epoch: [75][3330/14090]	Time 0.738 (0.763)	Data 0.001 (0.002)	Loss 1.6646 (1.8119)	Prec@1 52.344 (52.427)	Prec@5 88.281 (81.891)
Epoch: [75][3340/14090]	Time 0.738 (0.763)	Data 0.001 (0.002)	Loss 1.8647 (1.8118)	Prec@1 46.875 (52.433)	Prec@5 82.031 (81.894)
Epoch: [75][3350/14090]	Time 0.731 (0.763)	Data 0.001 (0.002)	Loss 1.5509 (1.8117)	Prec@1 56.250 (52.432)	Prec@5 85.938 (81.900)
Epoch: [75][3360/14090]	Time 0.822 (0.763)	Data 0.001 (0.002)	Loss 1.6965 (1.8115)	Prec@1 53.125 (52.438)	Prec@5 82.812 (81.903)
Epoch: [75][3370/14090]	Time 0.755 (0.763)	Data 0.001 (0.002)	Loss 1.7705 (1.8115)	Prec@1 53.125 (52.438)	Prec@5 83.594 (81.902)
Epoch: [75][3380/14090]	Time 0.743 (0.763)	Data 0.001 (0.002)	Loss 1.9154 (1.8116)	Prec@1 49.219 (52.438)	Prec@5 79.688 (81.903)
Epoch: [75][3390/14090]	Time 0.737 (0.763)	Data 0.001 (0.002)	Loss 2.1570 (1.8119)	Prec@1 48.438 (52.432)	Prec@5 74.219 (81.895)
Epoch: [75][3400/14090]	Time 0.744 (0.763)	Data 0.001 (0.002)	Loss 1.7749 (1.8119)	Prec@1 47.656 (52.431)	Prec@5 84.375 (81.895)
Epoch: [75][3410/14090]	Time 0.767 (0.763)	Data 0.001 (0.002)	Loss 1.8900 (1.8118)	Prec@1 54.688 (52.434)	Prec@5 79.688 (81.893)
Epoch: [75][3420/14090]	Time 0.735 (0.763)	Data 0.001 (0.002)	Loss 1.6305 (1.8118)	Prec@1 58.594 (52.440)	Prec@5 85.156 (81.893)
Epoch: [75][3430/14090]	Time 0.873 (0.763)	Data 0.001 (0.002)	Loss 1.4147 (1.8116)	Prec@1 58.594 (52.449)	Prec@5 88.281 (81.898)
Epoch: [75][3440/14090]	Time 0.753 (0.763)	Data 0.001 (0.002)	Loss 1.8339 (1.8116)	Prec@1 50.781 (52.450)	Prec@5 82.812 (81.900)
Epoch: [75][3450/14090]	Time 0.758 (0.763)	Data 0.001 (0.002)	Loss 1.7526 (1.8116)	Prec@1 55.469 (52.451)	Prec@5 82.031 (81.902)
Epoch: [75][3460/14090]	Time 0.785 (0.763)	Data 0.001 (0.002)	Loss 2.0028 (1.8118)	Prec@1 46.094 (52.451)	Prec@5 75.781 (81.897)
Epoch: [75][3470/14090]	Time 0.773 (0.763)	Data 0.001 (0.002)	Loss 1.9135 (1.8119)	Prec@1 54.688 (52.453)	Prec@5 79.688 (81.895)
Epoch: [75][3480/14090]	Time 0.757 (0.763)	Data 0.001 (0.002)	Loss 1.7083 (1.8118)	Prec@1 56.250 (52.454)	Prec@5 80.469 (81.896)
Epoch: [75][3490/14090]	Time 0.733 (0.763)	Data 0.001 (0.002)	Loss 1.9145 (1.8119)	Prec@1 53.906 (52.455)	Prec@5 76.562 (81.891)
Epoch: [75][3500/14090]	Time 0.734 (0.763)	Data 0.001 (0.002)	Loss 1.8786 (1.8118)	Prec@1 50.781 (52.454)	Prec@5 79.688 (81.892)
Epoch: [75][3510/14090]	Time 0.774 (0.763)	Data 0.001 (0.002)	Loss 1.6219 (1.8120)	Prec@1 57.031 (52.451)	Prec@5 85.156 (81.891)
Epoch: [75][3520/14090]	Time 0.758 (0.763)	Data 0.001 (0.002)	Loss 1.9272 (1.8119)	Prec@1 53.125 (52.450)	Prec@5 79.688 (81.890)
Epoch: [75][3530/14090]	Time 0.764 (0.763)	Data 0.001 (0.002)	Loss 1.9166 (1.8119)	Prec@1 45.312 (52.451)	Prec@5 82.031 (81.890)
Epoch: [75][3540/14090]	Time 0.786 (0.763)	Data 0.001 (0.002)	Loss 1.8935 (1.8119)	Prec@1 44.531 (52.452)	Prec@5 82.812 (81.889)
Epoch: [75][3550/14090]	Time 0.758 (0.763)	Data 0.001 (0.002)	Loss 1.5752 (1.8119)	Prec@1 56.250 (52.450)	Prec@5 84.375 (81.890)
Epoch: [75][3560/14090]	Time 0.738 (0.763)	Data 0.001 (0.002)	Loss 1.4744 (1.8117)	Prec@1 58.594 (52.454)	Prec@5 89.844 (81.895)
Epoch: [75][3570/14090]	Time 0.745 (0.763)	Data 0.001 (0.002)	Loss 1.9206 (1.8116)	Prec@1 49.219 (52.456)	Prec@5 77.344 (81.896)
Epoch: [75][3580/14090]	Time 0.729 (0.763)	Data 0.001 (0.002)	Loss 1.7525 (1.8114)	Prec@1 53.906 (52.457)	Prec@5 85.156 (81.899)
Epoch: [75][3590/14090]	Time 0.763 (0.763)	Data 0.001 (0.002)	Loss 1.4662 (1.8112)	Prec@1 60.938 (52.463)	Prec@5 87.500 (81.904)
Epoch: [75][3600/14090]	Time 0.777 (0.763)	Data 0.001 (0.002)	Loss 1.8053 (1.8112)	Prec@1 54.688 (52.467)	Prec@5 82.812 (81.903)
Epoch: [75][3610/14090]	Time 0.728 (0.763)	Data 0.001 (0.002)	Loss 1.7596 (1.8115)	Prec@1 57.031 (52.461)	Prec@5 81.250 (81.898)
Epoch: [75][3620/14090]	Time 0.739 (0.763)	Data 0.001 (0.002)	Loss 1.7324 (1.8116)	Prec@1 53.906 (52.458)	Prec@5 78.906 (81.894)
Epoch: [75][3630/14090]	Time 0.771 (0.763)	Data 0.001 (0.002)	Loss 1.8680 (1.8115)	Prec@1 51.562 (52.459)	Prec@5 80.469 (81.895)
Epoch: [75][3640/14090]	Time 0.801 (0.763)	Data 0.001 (0.002)	Loss 1.8004 (1.8113)	Prec@1 53.906 (52.462)	Prec@5 81.250 (81.900)
Epoch: [75][3650/14090]	Time 0.755 (0.763)	Data 0.001 (0.002)	Loss 1.8026 (1.8114)	Prec@1 51.562 (52.459)	Prec@5 81.250 (81.897)
Epoch: [75][3660/14090]	Time 0.788 (0.763)	Data 0.001 (0.002)	Loss 2.0956 (1.8115)	Prec@1 52.344 (52.456)	Prec@5 73.438 (81.894)
Epoch: [75][3670/14090]	Time 0.733 (0.763)	Data 0.001 (0.002)	Loss 1.8145 (1.8118)	Prec@1 48.438 (52.451)	Prec@5 83.594 (81.891)
Epoch: [75][3680/14090]	Time 0.739 (0.763)	Data 0.001 (0.002)	Loss 2.0702 (1.8116)	Prec@1 50.781 (52.453)	Prec@5 75.000 (81.894)
Epoch: [75][3690/14090]	Time 0.735 (0.763)	Data 0.001 (0.002)	Loss 1.7391 (1.8117)	Prec@1 53.906 (52.454)	Prec@5 85.156 (81.891)
Epoch: [75][3700/14090]	Time 0.772 (0.763)	Data 0.001 (0.002)	Loss 1.6922 (1.8118)	Prec@1 57.812 (52.454)	Prec@5 81.250 (81.886)
Epoch: [75][3710/14090]	Time 0.802 (0.763)	Data 0.001 (0.002)	Loss 1.7932 (1.8117)	Prec@1 51.562 (52.456)	Prec@5 87.500 (81.888)
Epoch: [75][3720/14090]	Time 0.753 (0.763)	Data 0.001 (0.002)	Loss 1.8192 (1.8118)	Prec@1 52.344 (52.454)	Prec@5 80.469 (81.887)
Epoch: [75][3730/14090]	Time 0.747 (0.763)	Data 0.001 (0.002)	Loss 1.7979 (1.8121)	Prec@1 53.906 (52.450)	Prec@5 81.250 (81.881)
Epoch: [75][3740/14090]	Time 0.779 (0.763)	Data 0.001 (0.002)	Loss 1.5252 (1.8121)	Prec@1 59.375 (52.453)	Prec@5 87.500 (81.881)
Epoch: [75][3750/14090]	Time 0.749 (0.763)	Data 0.001 (0.002)	Loss 1.7074 (1.8120)	Prec@1 57.031 (52.454)	Prec@5 84.375 (81.881)
Epoch: [75][3760/14090]	Time 0.732 (0.763)	Data 0.001 (0.002)	Loss 1.8850 (1.8120)	Prec@1 46.875 (52.457)	Prec@5 81.250 (81.882)
Epoch: [75][3770/14090]	Time 0.772 (0.763)	Data 0.001 (0.002)	Loss 1.6682 (1.8120)	Prec@1 53.906 (52.452)	Prec@5 82.812 (81.880)
Epoch: [75][3780/14090]	Time 0.802 (0.763)	Data 0.001 (0.002)	Loss 1.9168 (1.8121)	Prec@1 47.656 (52.450)	Prec@5 82.812 (81.880)
Epoch: [75][3790/14090]	Time 0.786 (0.763)	Data 0.001 (0.002)	Loss 1.7530 (1.8120)	Prec@1 53.906 (52.455)	Prec@5 80.469 (81.880)
Epoch: [75][3800/14090]	Time 0.741 (0.763)	Data 0.001 (0.002)	Loss 1.5809 (1.8118)	Prec@1 56.250 (52.457)	Prec@5 85.938 (81.884)
Epoch: [75][3810/14090]	Time 0.741 (0.763)	Data 0.001 (0.002)	Loss 1.8094 (1.8117)	Prec@1 44.531 (52.458)	Prec@5 83.594 (81.889)
Epoch: [75][3820/14090]	Time 0.722 (0.763)	Data 0.001 (0.002)	Loss 2.0022 (1.8120)	Prec@1 52.344 (52.453)	Prec@5 75.781 (81.887)
Epoch: [75][3830/14090]	Time 0.729 (0.763)	Data 0.001 (0.002)	Loss 1.6267 (1.8120)	Prec@1 60.938 (52.451)	Prec@5 83.594 (81.887)
Epoch: [75][3840/14090]	Time 0.732 (0.763)	Data 0.001 (0.002)	Loss 1.9489 (1.8118)	Prec@1 46.875 (52.456)	Prec@5 78.906 (81.889)
Epoch: [75][3850/14090]	Time 0.802 (0.762)	Data 0.001 (0.002)	Loss 1.8380 (1.8119)	Prec@1 55.469 (52.454)	Prec@5 80.469 (81.886)
Epoch: [75][3860/14090]	Time 0.753 (0.762)	Data 0.001 (0.002)	Loss 2.0095 (1.8120)	Prec@1 51.562 (52.448)	Prec@5 75.781 (81.885)
Epoch: [75][3870/14090]	Time 0.733 (0.762)	Data 0.001 (0.002)	Loss 1.8290 (1.8121)	Prec@1 49.219 (52.441)	Prec@5 82.812 (81.881)
Epoch: [75][3880/14090]	Time 0.747 (0.762)	Data 0.001 (0.002)	Loss 1.9660 (1.8122)	Prec@1 46.094 (52.437)	Prec@5 79.688 (81.881)
Epoch: [75][3890/14090]	Time 0.736 (0.762)	Data 0.001 (0.002)	Loss 1.7913 (1.8121)	Prec@1 51.562 (52.437)	Prec@5 80.469 (81.883)
Epoch: [75][3900/14090]	Time 0.747 (0.762)	Data 0.001 (0.002)	Loss 1.8625 (1.8122)	Prec@1 50.000 (52.435)	Prec@5 82.031 (81.880)
Epoch: [75][3910/14090]	Time 0.753 (0.762)	Data 0.001 (0.002)	Loss 2.0813 (1.8124)	Prec@1 46.875 (52.435)	Prec@5 75.781 (81.879)
Epoch: [75][3920/14090]	Time 0.786 (0.762)	Data 0.001 (0.002)	Loss 1.9043 (1.8126)	Prec@1 50.000 (52.430)	Prec@5 82.031 (81.873)
Epoch: [75][3930/14090]	Time 0.769 (0.762)	Data 0.001 (0.002)	Loss 1.9087 (1.8126)	Prec@1 48.438 (52.431)	Prec@5 78.906 (81.873)
Epoch: [75][3940/14090]	Time 0.731 (0.762)	Data 0.001 (0.002)	Loss 1.5444 (1.8126)	Prec@1 55.469 (52.430)	Prec@5 87.500 (81.873)
Epoch: [75][3950/14090]	Time 0.785 (0.762)	Data 0.001 (0.002)	Loss 2.0821 (1.8127)	Prec@1 47.656 (52.431)	Prec@5 78.125 (81.873)
Epoch: [75][3960/14090]	Time 0.741 (0.762)	Data 0.002 (0.002)	Loss 1.5752 (1.8126)	Prec@1 58.594 (52.436)	Prec@5 86.719 (81.871)
Epoch: [75][3970/14090]	Time 0.722 (0.762)	Data 0.001 (0.002)	Loss 1.6693 (1.8125)	Prec@1 53.906 (52.439)	Prec@5 83.594 (81.873)
Epoch: [75][3980/14090]	Time 0.734 (0.762)	Data 0.001 (0.002)	Loss 1.7934 (1.8123)	Prec@1 50.781 (52.437)	Prec@5 82.812 (81.875)
Epoch: [75][3990/14090]	Time 0.808 (0.762)	Data 0.001 (0.002)	Loss 1.8655 (1.8122)	Prec@1 53.906 (52.440)	Prec@5 80.469 (81.876)
Epoch: [75][4000/14090]	Time 0.771 (0.762)	Data 0.001 (0.002)	Loss 1.7377 (1.8123)	Prec@1 53.125 (52.437)	Prec@5 83.594 (81.879)
Epoch: [75][4010/14090]	Time 0.735 (0.762)	Data 0.001 (0.002)	Loss 1.5411 (1.8123)	Prec@1 60.156 (52.434)	Prec@5 82.031 (81.877)
Epoch: [75][4020/14090]	Time 0.748 (0.762)	Data 0.001 (0.002)	Loss 1.8333 (1.8122)	Prec@1 50.000 (52.439)	Prec@5 81.250 (81.882)
Epoch: [75][4030/14090]	Time 0.741 (0.762)	Data 0.001 (0.002)	Loss 1.7948 (1.8122)	Prec@1 46.875 (52.437)	Prec@5 82.031 (81.884)
Epoch: [75][4040/14090]	Time 0.750 (0.762)	Data 0.001 (0.002)	Loss 2.0889 (1.8123)	Prec@1 50.781 (52.435)	Prec@5 72.656 (81.879)
Epoch: [75][4050/14090]	Time 0.750 (0.762)	Data 0.001 (0.002)	Loss 1.8985 (1.8123)	Prec@1 52.344 (52.436)	Prec@5 77.344 (81.876)
Epoch: [75][4060/14090]	Time 0.824 (0.762)	Data 0.001 (0.002)	Loss 1.9172 (1.8122)	Prec@1 53.906 (52.435)	Prec@5 78.125 (81.877)
Epoch: [75][4070/14090]	Time 0.734 (0.762)	Data 0.001 (0.002)	Loss 1.7189 (1.8123)	Prec@1 56.250 (52.430)	Prec@5 83.594 (81.878)
Epoch: [75][4080/14090]	Time 0.776 (0.762)	Data 0.001 (0.002)	Loss 1.7579 (1.8124)	Prec@1 53.906 (52.429)	Prec@5 82.812 (81.876)
Epoch: [75][4090/14090]	Time 0.762 (0.762)	Data 0.001 (0.002)	Loss 1.7813 (1.8124)	Prec@1 57.031 (52.431)	Prec@5 78.906 (81.876)
Epoch: [75][4100/14090]	Time 0.715 (0.762)	Data 0.001 (0.002)	Loss 1.6639 (1.8124)	Prec@1 56.250 (52.431)	Prec@5 86.719 (81.878)
Epoch: [75][4110/14090]	Time 0.737 (0.762)	Data 0.001 (0.002)	Loss 1.7084 (1.8124)	Prec@1 52.344 (52.433)	Prec@5 80.469 (81.878)
Epoch: [75][4120/14090]	Time 0.752 (0.762)	Data 0.001 (0.002)	Loss 1.6101 (1.8123)	Prec@1 57.031 (52.434)	Prec@5 85.938 (81.881)
Epoch: [75][4130/14090]	Time 0.801 (0.762)	Data 0.001 (0.002)	Loss 1.8008 (1.8120)	Prec@1 52.344 (52.438)	Prec@5 82.031 (81.886)
Epoch: [75][4140/14090]	Time 0.751 (0.762)	Data 0.001 (0.002)	Loss 1.9195 (1.8120)	Prec@1 47.656 (52.439)	Prec@5 83.594 (81.889)
Epoch: [75][4150/14090]	Time 0.726 (0.762)	Data 0.001 (0.002)	Loss 1.9034 (1.8119)	Prec@1 44.531 (52.441)	Prec@5 79.688 (81.891)
Epoch: [75][4160/14090]	Time 0.729 (0.762)	Data 0.001 (0.002)	Loss 1.8278 (1.8119)	Prec@1 58.594 (52.443)	Prec@5 84.375 (81.893)
Epoch: [75][4170/14090]	Time 0.741 (0.762)	Data 0.001 (0.002)	Loss 1.9842 (1.8118)	Prec@1 50.781 (52.444)	Prec@5 80.469 (81.895)
Epoch: [75][4180/14090]	Time 0.759 (0.762)	Data 0.001 (0.002)	Loss 1.7119 (1.8119)	Prec@1 56.250 (52.440)	Prec@5 81.250 (81.895)
Epoch: [75][4190/14090]	Time 0.735 (0.762)	Data 0.001 (0.002)	Loss 1.6641 (1.8118)	Prec@1 57.812 (52.439)	Prec@5 85.156 (81.899)
Epoch: [75][4200/14090]	Time 0.862 (0.762)	Data 0.001 (0.002)	Loss 1.5087 (1.8118)	Prec@1 60.938 (52.438)	Prec@5 85.938 (81.902)
Epoch: [75][4210/14090]	Time 0.764 (0.762)	Data 0.001 (0.002)	Loss 1.9391 (1.8119)	Prec@1 52.344 (52.440)	Prec@5 78.125 (81.902)
Epoch: [75][4220/14090]	Time 0.753 (0.762)	Data 0.001 (0.002)	Loss 1.8338 (1.8120)	Prec@1 51.562 (52.433)	Prec@5 85.156 (81.901)
Epoch: [75][4230/14090]	Time 0.754 (0.762)	Data 0.001 (0.002)	Loss 1.5526 (1.8121)	Prec@1 60.156 (52.432)	Prec@5 85.938 (81.901)
Epoch: [75][4240/14090]	Time 0.760 (0.762)	Data 0.001 (0.002)	Loss 1.7720 (1.8121)	Prec@1 50.781 (52.428)	Prec@5 82.812 (81.899)
Epoch: [75][4250/14090]	Time 0.756 (0.762)	Data 0.001 (0.002)	Loss 1.6028 (1.8120)	Prec@1 54.688 (52.430)	Prec@5 87.500 (81.900)
Epoch: [75][4260/14090]	Time 0.761 (0.762)	Data 0.001 (0.002)	Loss 1.5920 (1.8120)	Prec@1 57.031 (52.430)	Prec@5 85.156 (81.900)
Epoch: [75][4270/14090]	Time 0.833 (0.762)	Data 0.001 (0.002)	Loss 1.9172 (1.8120)	Prec@1 54.688 (52.429)	Prec@5 80.469 (81.897)
Epoch: [75][4280/14090]	Time 0.741 (0.762)	Data 0.001 (0.002)	Loss 1.9663 (1.8120)	Prec@1 52.344 (52.432)	Prec@5 82.031 (81.895)
Epoch: [75][4290/14090]	Time 0.748 (0.762)	Data 0.001 (0.002)	Loss 1.9480 (1.8122)	Prec@1 51.562 (52.425)	Prec@5 80.469 (81.894)
Epoch: [75][4300/14090]	Time 0.747 (0.762)	Data 0.001 (0.002)	Loss 1.7806 (1.8122)	Prec@1 50.000 (52.422)	Prec@5 82.812 (81.893)
Epoch: [75][4310/14090]	Time 0.744 (0.762)	Data 0.001 (0.002)	Loss 1.5850 (1.8123)	Prec@1 60.938 (52.425)	Prec@5 84.375 (81.890)
Epoch: [75][4320/14090]	Time 0.776 (0.762)	Data 0.001 (0.002)	Loss 1.7546 (1.8122)	Prec@1 55.469 (52.427)	Prec@5 80.469 (81.890)
Epoch: [75][4330/14090]	Time 0.755 (0.762)	Data 0.001 (0.002)	Loss 1.8372 (1.8124)	Prec@1 51.562 (52.424)	Prec@5 81.250 (81.887)
Epoch: [75][4340/14090]	Time 0.822 (0.762)	Data 0.001 (0.002)	Loss 1.9102 (1.8125)	Prec@1 51.562 (52.419)	Prec@5 78.906 (81.887)
Epoch: [75][4350/14090]	Time 0.727 (0.762)	Data 0.001 (0.002)	Loss 1.6469 (1.8125)	Prec@1 59.375 (52.417)	Prec@5 82.812 (81.888)
Epoch: [75][4360/14090]	Time 0.732 (0.762)	Data 0.001 (0.002)	Loss 2.0597 (1.8126)	Prec@1 42.188 (52.411)	Prec@5 74.219 (81.881)
Epoch: [75][4370/14090]	Time 0.757 (0.762)	Data 0.001 (0.002)	Loss 1.7657 (1.8127)	Prec@1 53.906 (52.408)	Prec@5 82.031 (81.882)
Epoch: [75][4380/14090]	Time 0.762 (0.762)	Data 0.001 (0.002)	Loss 1.5590 (1.8125)	Prec@1 55.469 (52.407)	Prec@5 89.062 (81.888)
Epoch: [75][4390/14090]	Time 0.782 (0.762)	Data 0.001 (0.002)	Loss 1.9445 (1.8126)	Prec@1 46.875 (52.404)	Prec@5 77.344 (81.887)
Epoch: [75][4400/14090]	Time 0.740 (0.762)	Data 0.001 (0.002)	Loss 1.8222 (1.8125)	Prec@1 48.438 (52.400)	Prec@5 78.906 (81.889)
Epoch: [75][4410/14090]	Time 0.801 (0.762)	Data 0.001 (0.002)	Loss 1.6885 (1.8125)	Prec@1 53.125 (52.400)	Prec@5 82.812 (81.887)
Epoch: [75][4420/14090]	Time 0.740 (0.762)	Data 0.001 (0.002)	Loss 1.9195 (1.8125)	Prec@1 52.344 (52.399)	Prec@5 79.688 (81.886)
Epoch: [75][4430/14090]	Time 0.740 (0.762)	Data 0.001 (0.002)	Loss 1.5944 (1.8124)	Prec@1 57.031 (52.402)	Prec@5 87.500 (81.886)
Epoch: [75][4440/14090]	Time 0.750 (0.762)	Data 0.001 (0.002)	Loss 2.0942 (1.8127)	Prec@1 47.656 (52.399)	Prec@5 77.344 (81.880)
Epoch: [75][4450/14090]	Time 0.775 (0.762)	Data 0.001 (0.002)	Loss 1.8833 (1.8129)	Prec@1 54.688 (52.395)	Prec@5 78.906 (81.880)
Epoch: [75][4460/14090]	Time 0.784 (0.762)	Data 0.001 (0.002)	Loss 1.8171 (1.8129)	Prec@1 57.812 (52.393)	Prec@5 79.688 (81.879)
Epoch: [75][4470/14090]	Time 0.779 (0.762)	Data 0.001 (0.002)	Loss 1.7957 (1.8129)	Prec@1 50.781 (52.393)	Prec@5 85.156 (81.880)
Epoch: [75][4480/14090]	Time 0.777 (0.762)	Data 0.001 (0.002)	Loss 1.6693 (1.8129)	Prec@1 51.562 (52.389)	Prec@5 84.375 (81.882)
Epoch: [75][4490/14090]	Time 0.731 (0.762)	Data 0.001 (0.002)	Loss 1.7169 (1.8128)	Prec@1 51.562 (52.391)	Prec@5 83.594 (81.882)
Epoch: [75][4500/14090]	Time 0.736 (0.762)	Data 0.001 (0.002)	Loss 1.6932 (1.8127)	Prec@1 56.250 (52.395)	Prec@5 82.031 (81.883)
Epoch: [75][4510/14090]	Time 0.746 (0.762)	Data 0.001 (0.002)	Loss 1.6536 (1.8125)	Prec@1 50.000 (52.398)	Prec@5 83.594 (81.886)
Epoch: [75][4520/14090]	Time 0.740 (0.762)	Data 0.001 (0.002)	Loss 1.8213 (1.8125)	Prec@1 57.031 (52.397)	Prec@5 77.344 (81.886)
Epoch: [75][4530/14090]	Time 0.764 (0.762)	Data 0.001 (0.002)	Loss 1.8166 (1.8124)	Prec@1 53.125 (52.401)	Prec@5 78.906 (81.887)
Epoch: [75][4540/14090]	Time 0.737 (0.762)	Data 0.001 (0.002)	Loss 2.0528 (1.8127)	Prec@1 43.750 (52.391)	Prec@5 80.469 (81.883)
Epoch: [75][4550/14090]	Time 0.882 (0.762)	Data 0.001 (0.002)	Loss 2.0293 (1.8128)	Prec@1 45.312 (52.390)	Prec@5 77.344 (81.881)
Epoch: [75][4560/14090]	Time 0.766 (0.762)	Data 0.001 (0.002)	Loss 1.7174 (1.8129)	Prec@1 55.469 (52.388)	Prec@5 79.688 (81.878)
Epoch: [75][4570/14090]	Time 0.743 (0.762)	Data 0.001 (0.002)	Loss 1.9151 (1.8129)	Prec@1 46.875 (52.387)	Prec@5 81.250 (81.878)
Epoch: [75][4580/14090]	Time 0.759 (0.762)	Data 0.001 (0.002)	Loss 1.4921 (1.8129)	Prec@1 61.719 (52.386)	Prec@5 84.375 (81.880)
Epoch: [75][4590/14090]	Time 0.750 (0.762)	Data 0.001 (0.002)	Loss 1.9424 (1.8130)	Prec@1 53.125 (52.381)	Prec@5 82.031 (81.880)
Epoch: [75][4600/14090]	Time 0.745 (0.762)	Data 0.001 (0.002)	Loss 1.7578 (1.8130)	Prec@1 53.125 (52.381)	Prec@5 79.688 (81.879)
Epoch: [75][4610/14090]	Time 0.724 (0.762)	Data 0.001 (0.002)	Loss 1.7855 (1.8130)	Prec@1 49.219 (52.383)	Prec@5 85.938 (81.878)
Epoch: [75][4620/14090]	Time 0.773 (0.762)	Data 0.001 (0.002)	Loss 1.5538 (1.8129)	Prec@1 60.938 (52.379)	Prec@5 88.281 (81.879)
Epoch: [75][4630/14090]	Time 0.745 (0.762)	Data 0.001 (0.002)	Loss 1.5650 (1.8129)	Prec@1 54.688 (52.374)	Prec@5 88.281 (81.882)
Epoch: [75][4640/14090]	Time 0.779 (0.762)	Data 0.001 (0.002)	Loss 1.7907 (1.8131)	Prec@1 49.219 (52.373)	Prec@5 85.938 (81.880)
Epoch: [75][4650/14090]	Time 0.738 (0.762)	Data 0.001 (0.002)	Loss 1.8950 (1.8131)	Prec@1 50.000 (52.370)	Prec@5 85.156 (81.882)
Epoch: [75][4660/14090]	Time 0.739 (0.762)	Data 0.001 (0.002)	Loss 1.8605 (1.8132)	Prec@1 56.250 (52.372)	Prec@5 80.469 (81.880)
Epoch: [75][4670/14090]	Time 0.782 (0.762)	Data 0.001 (0.002)	Loss 1.7031 (1.8131)	Prec@1 57.031 (52.377)	Prec@5 85.156 (81.883)
Epoch: [75][4680/14090]	Time 0.782 (0.762)	Data 0.001 (0.002)	Loss 1.8192 (1.8131)	Prec@1 53.906 (52.375)	Prec@5 77.344 (81.879)
Epoch: [75][4690/14090]	Time 0.778 (0.762)	Data 0.001 (0.002)	Loss 1.6423 (1.8131)	Prec@1 50.000 (52.374)	Prec@5 86.719 (81.879)
Epoch: [75][4700/14090]	Time 0.727 (0.762)	Data 0.001 (0.002)	Loss 2.1777 (1.8132)	Prec@1 39.062 (52.374)	Prec@5 79.688 (81.876)
Epoch: [75][4710/14090]	Time 0.736 (0.762)	Data 0.001 (0.002)	Loss 1.5715 (1.8132)	Prec@1 54.688 (52.376)	Prec@5 85.938 (81.878)
Epoch: [75][4720/14090]	Time 0.728 (0.762)	Data 0.001 (0.002)	Loss 1.7248 (1.8133)	Prec@1 54.688 (52.375)	Prec@5 87.500 (81.877)
Epoch: [75][4730/14090]	Time 0.791 (0.762)	Data 0.001 (0.002)	Loss 2.0678 (1.8133)	Prec@1 49.219 (52.376)	Prec@5 71.875 (81.876)
Epoch: [75][4740/14090]	Time 0.757 (0.762)	Data 0.001 (0.002)	Loss 1.7876 (1.8133)	Prec@1 50.781 (52.376)	Prec@5 84.375 (81.879)
Epoch: [75][4750/14090]	Time 0.738 (0.762)	Data 0.001 (0.002)	Loss 1.6470 (1.8134)	Prec@1 53.125 (52.372)	Prec@5 84.375 (81.879)
Epoch: [75][4760/14090]	Time 0.798 (0.762)	Data 0.001 (0.002)	Loss 1.6151 (1.8135)	Prec@1 54.688 (52.369)	Prec@5 85.938 (81.876)
Epoch: [75][4770/14090]	Time 0.732 (0.762)	Data 0.001 (0.002)	Loss 2.0966 (1.8137)	Prec@1 48.438 (52.362)	Prec@5 80.469 (81.873)
Epoch: [75][4780/14090]	Time 0.749 (0.762)	Data 0.001 (0.002)	Loss 1.7312 (1.8137)	Prec@1 53.125 (52.360)	Prec@5 85.938 (81.873)
Epoch: [75][4790/14090]	Time 0.741 (0.762)	Data 0.001 (0.002)	Loss 1.9812 (1.8137)	Prec@1 50.000 (52.358)	Prec@5 79.688 (81.874)
Epoch: [75][4800/14090]	Time 0.746 (0.762)	Data 0.001 (0.002)	Loss 1.6610 (1.8138)	Prec@1 57.812 (52.357)	Prec@5 83.594 (81.870)
Epoch: [75][4810/14090]	Time 0.763 (0.762)	Data 0.001 (0.002)	Loss 1.8742 (1.8139)	Prec@1 51.562 (52.359)	Prec@5 78.125 (81.868)
Epoch: [75][4820/14090]	Time 0.754 (0.762)	Data 0.001 (0.002)	Loss 1.6245 (1.8139)	Prec@1 54.688 (52.360)	Prec@5 85.156 (81.868)
Epoch: [75][4830/14090]	Time 0.992 (0.762)	Data 0.001 (0.002)	Loss 2.0044 (1.8140)	Prec@1 50.000 (52.356)	Prec@5 76.562 (81.866)
Epoch: [75][4840/14090]	Time 0.754 (0.762)	Data 0.001 (0.002)	Loss 1.9315 (1.8140)	Prec@1 52.344 (52.355)	Prec@5 82.031 (81.865)
Epoch: [75][4850/14090]	Time 0.764 (0.762)	Data 0.001 (0.002)	Loss 1.5054 (1.8139)	Prec@1 61.719 (52.356)	Prec@5 87.500 (81.866)
Epoch: [75][4860/14090]	Time 0.740 (0.762)	Data 0.001 (0.002)	Loss 1.7717 (1.8139)	Prec@1 50.781 (52.353)	Prec@5 82.812 (81.865)
Epoch: [75][4870/14090]	Time 0.729 (0.762)	Data 0.001 (0.002)	Loss 1.8587 (1.8140)	Prec@1 51.562 (52.350)	Prec@5 79.688 (81.863)
Epoch: [75][4880/14090]	Time 0.751 (0.762)	Data 0.001 (0.002)	Loss 1.5606 (1.8139)	Prec@1 61.719 (52.353)	Prec@5 85.156 (81.866)
Epoch: [75][4890/14090]	Time 0.783 (0.762)	Data 0.001 (0.002)	Loss 1.7263 (1.8139)	Prec@1 50.781 (52.346)	Prec@5 85.156 (81.864)
Epoch: [75][4900/14090]	Time 0.872 (0.762)	Data 0.001 (0.002)	Loss 2.1349 (1.8141)	Prec@1 44.531 (52.342)	Prec@5 78.125 (81.865)
Epoch: [75][4910/14090]	Time 0.735 (0.762)	Data 0.002 (0.002)	Loss 1.7426 (1.8141)	Prec@1 54.688 (52.344)	Prec@5 82.031 (81.864)
Epoch: [75][4920/14090]	Time 0.769 (0.762)	Data 0.001 (0.002)	Loss 1.7660 (1.8141)	Prec@1 46.094 (52.344)	Prec@5 83.594 (81.865)
Epoch: [75][4930/14090]	Time 0.736 (0.762)	Data 0.001 (0.002)	Loss 1.6845 (1.8142)	Prec@1 51.562 (52.339)	Prec@5 85.156 (81.862)
Epoch: [75][4940/14090]	Time 0.779 (0.762)	Data 0.001 (0.002)	Loss 1.7884 (1.8142)	Prec@1 53.125 (52.338)	Prec@5 82.031 (81.863)
Epoch: [75][4950/14090]	Time 0.732 (0.762)	Data 0.001 (0.002)	Loss 1.6782 (1.8144)	Prec@1 55.469 (52.333)	Prec@5 87.500 (81.863)
Epoch: [75][4960/14090]	Time 0.764 (0.762)	Data 0.001 (0.002)	Loss 1.7516 (1.8144)	Prec@1 53.906 (52.330)	Prec@5 84.375 (81.863)
Epoch: [75][4970/14090]	Time 0.808 (0.762)	Data 0.002 (0.002)	Loss 1.7771 (1.8144)	Prec@1 50.781 (52.327)	Prec@5 78.906 (81.865)
Epoch: [75][4980/14090]	Time 0.739 (0.762)	Data 0.001 (0.002)	Loss 2.0653 (1.8144)	Prec@1 46.094 (52.325)	Prec@5 75.781 (81.864)
Epoch: [75][4990/14090]	Time 0.752 (0.762)	Data 0.001 (0.002)	Loss 1.8431 (1.8145)	Prec@1 53.125 (52.323)	Prec@5 80.469 (81.861)
Epoch: [75][5000/14090]	Time 0.737 (0.762)	Data 0.001 (0.002)	Loss 1.4335 (1.8144)	Prec@1 60.938 (52.330)	Prec@5 89.844 (81.863)
Epoch: [75][5010/14090]	Time 0.769 (0.762)	Data 0.001 (0.002)	Loss 1.5694 (1.8143)	Prec@1 56.250 (52.330)	Prec@5 88.281 (81.866)
Epoch: [75][5020/14090]	Time 0.752 (0.762)	Data 0.001 (0.002)	Loss 1.7905 (1.8145)	Prec@1 53.125 (52.328)	Prec@5 82.812 (81.862)
Epoch: [75][5030/14090]	Time 0.738 (0.762)	Data 0.001 (0.002)	Loss 1.9530 (1.8145)	Prec@1 50.781 (52.328)	Prec@5 79.688 (81.863)
Epoch: [75][5040/14090]	Time 0.800 (0.762)	Data 0.001 (0.002)	Loss 1.6343 (1.8145)	Prec@1 59.375 (52.328)	Prec@5 86.719 (81.865)
Epoch: [75][5050/14090]	Time 0.740 (0.762)	Data 0.001 (0.002)	Loss 1.8159 (1.8146)	Prec@1 50.000 (52.322)	Prec@5 85.938 (81.864)
Epoch: [75][5060/14090]	Time 0.748 (0.762)	Data 0.001 (0.002)	Loss 1.8134 (1.8147)	Prec@1 47.656 (52.322)	Prec@5 82.031 (81.864)
Epoch: [75][5070/14090]	Time 0.726 (0.762)	Data 0.001 (0.002)	Loss 1.7493 (1.8146)	Prec@1 48.438 (52.322)	Prec@5 82.812 (81.863)
Epoch: [75][5080/14090]	Time 0.768 (0.762)	Data 0.001 (0.002)	Loss 1.6399 (1.8146)	Prec@1 57.812 (52.325)	Prec@5 86.719 (81.863)
Epoch: [75][5090/14090]	Time 0.734 (0.762)	Data 0.001 (0.002)	Loss 1.8934 (1.8148)	Prec@1 52.344 (52.321)	Prec@5 79.688 (81.860)
Epoch: [75][5100/14090]	Time 0.757 (0.762)	Data 0.001 (0.002)	Loss 1.6827 (1.8149)	Prec@1 57.031 (52.321)	Prec@5 80.469 (81.857)
Epoch: [75][5110/14090]	Time 0.805 (0.762)	Data 0.001 (0.002)	Loss 1.8680 (1.8148)	Prec@1 55.469 (52.322)	Prec@5 82.812 (81.856)
Epoch: [75][5120/14090]	Time 0.738 (0.762)	Data 0.001 (0.002)	Loss 1.7309 (1.8149)	Prec@1 49.219 (52.321)	Prec@5 83.594 (81.856)
Epoch: [75][5130/14090]	Time 0.803 (0.762)	Data 0.001 (0.002)	Loss 1.8835 (1.8149)	Prec@1 50.781 (52.323)	Prec@5 81.250 (81.856)
Epoch: [75][5140/14090]	Time 0.728 (0.762)	Data 0.001 (0.002)	Loss 1.8747 (1.8150)	Prec@1 56.250 (52.322)	Prec@5 78.906 (81.855)
Epoch: [75][5150/14090]	Time 0.737 (0.762)	Data 0.001 (0.002)	Loss 1.7921 (1.8151)	Prec@1 52.344 (52.319)	Prec@5 80.469 (81.852)
Epoch: [75][5160/14090]	Time 0.773 (0.762)	Data 0.001 (0.002)	Loss 2.0378 (1.8152)	Prec@1 46.094 (52.318)	Prec@5 72.656 (81.852)
Epoch: [75][5170/14090]	Time 0.781 (0.762)	Data 0.001 (0.002)	Loss 1.7547 (1.8151)	Prec@1 51.562 (52.318)	Prec@5 83.594 (81.856)
Epoch: [75][5180/14090]	Time 0.873 (0.762)	Data 0.001 (0.002)	Loss 1.9859 (1.8151)	Prec@1 48.438 (52.317)	Prec@5 80.469 (81.855)
Epoch: [75][5190/14090]	Time 0.745 (0.762)	Data 0.001 (0.002)	Loss 1.6688 (1.8149)	Prec@1 51.562 (52.318)	Prec@5 84.375 (81.856)
Epoch: [75][5200/14090]	Time 0.730 (0.762)	Data 0.001 (0.002)	Loss 1.7654 (1.8150)	Prec@1 47.656 (52.316)	Prec@5 87.500 (81.857)
Epoch: [75][5210/14090]	Time 0.751 (0.762)	Data 0.001 (0.002)	Loss 1.7997 (1.8151)	Prec@1 49.219 (52.316)	Prec@5 80.469 (81.854)
Epoch: [75][5220/14090]	Time 0.756 (0.762)	Data 0.001 (0.002)	Loss 1.9498 (1.8150)	Prec@1 50.781 (52.315)	Prec@5 78.906 (81.855)
Epoch: [75][5230/14090]	Time 0.756 (0.762)	Data 0.001 (0.002)	Loss 1.5524 (1.8149)	Prec@1 53.906 (52.316)	Prec@5 89.062 (81.859)
Epoch: [75][5240/14090]	Time 0.737 (0.762)	Data 0.001 (0.002)	Loss 1.7630 (1.8147)	Prec@1 51.562 (52.321)	Prec@5 85.156 (81.863)
Epoch: [75][5250/14090]	Time 0.821 (0.762)	Data 0.001 (0.002)	Loss 1.7384 (1.8147)	Prec@1 48.438 (52.320)	Prec@5 82.812 (81.863)
Epoch: [75][5260/14090]	Time 0.744 (0.762)	Data 0.001 (0.002)	Loss 1.8727 (1.8145)	Prec@1 50.000 (52.324)	Prec@5 80.469 (81.866)
Epoch: [75][5270/14090]	Time 0.755 (0.762)	Data 0.001 (0.002)	Loss 1.7544 (1.8146)	Prec@1 54.688 (52.320)	Prec@5 84.375 (81.863)
Epoch: [75][5280/14090]	Time 0.738 (0.762)	Data 0.001 (0.002)	Loss 1.9293 (1.8146)	Prec@1 52.344 (52.321)	Prec@5 77.344 (81.859)
Epoch: [75][5290/14090]	Time 0.736 (0.762)	Data 0.001 (0.002)	Loss 1.7714 (1.8146)	Prec@1 50.000 (52.320)	Prec@5 82.812 (81.859)
Epoch: [75][5300/14090]	Time 0.746 (0.762)	Data 0.001 (0.002)	Loss 2.0059 (1.8146)	Prec@1 51.562 (52.321)	Prec@5 77.344 (81.858)
Epoch: [75][5310/14090]	Time 0.734 (0.762)	Data 0.001 (0.002)	Loss 1.8671 (1.8147)	Prec@1 46.094 (52.320)	Prec@5 86.719 (81.858)
Epoch: [75][5320/14090]	Time 0.866 (0.762)	Data 0.001 (0.002)	Loss 1.7347 (1.8145)	Prec@1 54.688 (52.322)	Prec@5 82.812 (81.863)
Epoch: [75][5330/14090]	Time 0.746 (0.762)	Data 0.001 (0.002)	Loss 1.8410 (1.8145)	Prec@1 48.438 (52.315)	Prec@5 81.250 (81.862)
Epoch: [75][5340/14090]	Time 0.753 (0.762)	Data 0.001 (0.002)	Loss 1.7464 (1.8147)	Prec@1 50.781 (52.314)	Prec@5 82.812 (81.862)
Epoch: [75][5350/14090]	Time 0.730 (0.762)	Data 0.001 (0.002)	Loss 1.7447 (1.8147)	Prec@1 57.812 (52.314)	Prec@5 85.938 (81.862)
Epoch: [75][5360/14090]	Time 0.734 (0.762)	Data 0.001 (0.002)	Loss 1.8897 (1.8146)	Prec@1 48.438 (52.316)	Prec@5 83.594 (81.862)
Epoch: [75][5370/14090]	Time 0.740 (0.762)	Data 0.001 (0.002)	Loss 1.5782 (1.8147)	Prec@1 57.031 (52.312)	Prec@5 86.719 (81.862)
Epoch: [75][5380/14090]	Time 0.769 (0.762)	Data 0.001 (0.002)	Loss 1.8440 (1.8147)	Prec@1 54.688 (52.313)	Prec@5 78.125 (81.861)
Epoch: [75][5390/14090]	Time 0.789 (0.762)	Data 0.001 (0.002)	Loss 1.7868 (1.8147)	Prec@1 55.469 (52.315)	Prec@5 84.375 (81.862)
Epoch: [75][5400/14090]	Time 0.753 (0.762)	Data 0.001 (0.002)	Loss 1.8650 (1.8147)	Prec@1 50.781 (52.313)	Prec@5 83.594 (81.863)
Epoch: [75][5410/14090]	Time 0.723 (0.762)	Data 0.001 (0.002)	Loss 1.9452 (1.8148)	Prec@1 48.438 (52.311)	Prec@5 82.031 (81.862)
Epoch: [75][5420/14090]	Time 0.737 (0.762)	Data 0.001 (0.002)	Loss 2.0311 (1.8149)	Prec@1 43.750 (52.309)	Prec@5 75.000 (81.862)
Epoch: [75][5430/14090]	Time 0.738 (0.762)	Data 0.001 (0.002)	Loss 1.7455 (1.8150)	Prec@1 47.656 (52.304)	Prec@5 85.938 (81.860)
Epoch: [75][5440/14090]	Time 0.728 (0.762)	Data 0.001 (0.002)	Loss 1.7129 (1.8149)	Prec@1 55.469 (52.303)	Prec@5 81.250 (81.863)
Epoch: [75][5450/14090]	Time 0.733 (0.762)	Data 0.001 (0.002)	Loss 1.9657 (1.8151)	Prec@1 44.531 (52.300)	Prec@5 83.594 (81.863)
Epoch: [75][5460/14090]	Time 0.790 (0.762)	Data 0.001 (0.002)	Loss 1.9869 (1.8152)	Prec@1 51.562 (52.296)	Prec@5 77.344 (81.862)
Epoch: [75][5470/14090]	Time 0.748 (0.762)	Data 0.001 (0.002)	Loss 1.8663 (1.8152)	Prec@1 53.125 (52.298)	Prec@5 78.906 (81.862)
Epoch: [75][5480/14090]	Time 0.763 (0.762)	Data 0.001 (0.002)	Loss 1.6304 (1.8151)	Prec@1 56.250 (52.300)	Prec@5 83.594 (81.864)
Epoch: [75][5490/14090]	Time 0.775 (0.762)	Data 0.001 (0.002)	Loss 2.0492 (1.8153)	Prec@1 46.875 (52.296)	Prec@5 77.344 (81.859)
Epoch: [75][5500/14090]	Time 0.755 (0.762)	Data 0.001 (0.002)	Loss 1.4606 (1.8153)	Prec@1 61.719 (52.296)	Prec@5 85.938 (81.857)
Epoch: [75][5510/14090]	Time 0.755 (0.762)	Data 0.001 (0.002)	Loss 2.2381 (1.8153)	Prec@1 44.531 (52.296)	Prec@5 69.531 (81.856)
Epoch: [75][5520/14090]	Time 0.773 (0.762)	Data 0.001 (0.002)	Loss 1.9367 (1.8153)	Prec@1 50.781 (52.297)	Prec@5 75.781 (81.853)
Epoch: [75][5530/14090]	Time 0.945 (0.762)	Data 0.001 (0.002)	Loss 2.2223 (1.8155)	Prec@1 46.875 (52.293)	Prec@5 78.125 (81.850)
Epoch: [75][5540/14090]	Time 0.723 (0.762)	Data 0.001 (0.002)	Loss 1.7379 (1.8156)	Prec@1 51.562 (52.291)	Prec@5 85.938 (81.849)
Epoch: [75][5550/14090]	Time 0.744 (0.762)	Data 0.001 (0.002)	Loss 2.0036 (1.8158)	Prec@1 50.781 (52.291)	Prec@5 77.344 (81.844)
Epoch: [75][5560/14090]	Time 0.750 (0.762)	Data 0.001 (0.002)	Loss 1.8269 (1.8157)	Prec@1 53.125 (52.293)	Prec@5 82.031 (81.846)
Epoch: [75][5570/14090]	Time 0.753 (0.762)	Data 0.001 (0.002)	Loss 1.9833 (1.8160)	Prec@1 47.656 (52.289)	Prec@5 75.781 (81.841)
Epoch: [75][5580/14090]	Time 0.759 (0.762)	Data 0.001 (0.002)	Loss 1.8082 (1.8160)	Prec@1 51.562 (52.288)	Prec@5 82.812 (81.842)
Epoch: [75][5590/14090]	Time 0.739 (0.762)	Data 0.001 (0.002)	Loss 1.6847 (1.8160)	Prec@1 55.469 (52.288)	Prec@5 82.031 (81.841)
Epoch: [75][5600/14090]	Time 0.798 (0.762)	Data 0.001 (0.002)	Loss 1.5777 (1.8161)	Prec@1 57.031 (52.287)	Prec@5 84.375 (81.841)
Epoch: [75][5610/14090]	Time 0.781 (0.762)	Data 0.001 (0.002)	Loss 2.0162 (1.8159)	Prec@1 47.656 (52.290)	Prec@5 79.688 (81.844)
Epoch: [75][5620/14090]	Time 0.738 (0.762)	Data 0.001 (0.002)	Loss 1.7408 (1.8159)	Prec@1 53.906 (52.291)	Prec@5 79.688 (81.845)
Epoch: [75][5630/14090]	Time 0.739 (0.762)	Data 0.001 (0.002)	Loss 2.0525 (1.8160)	Prec@1 47.656 (52.291)	Prec@5 75.781 (81.842)
Epoch: [75][5640/14090]	Time 0.761 (0.762)	Data 0.001 (0.002)	Loss 1.7997 (1.8161)	Prec@1 49.219 (52.292)	Prec@5 82.812 (81.842)
Epoch: [75][5650/14090]	Time 0.764 (0.762)	Data 0.001 (0.002)	Loss 1.7076 (1.8160)	Prec@1 57.812 (52.292)	Prec@5 83.594 (81.841)
Epoch: [75][5660/14090]	Time 0.746 (0.762)	Data 0.001 (0.002)	Loss 1.8482 (1.8162)	Prec@1 51.562 (52.288)	Prec@5 75.781 (81.836)
Epoch: [75][5670/14090]	Time 0.804 (0.762)	Data 0.001 (0.002)	Loss 1.9638 (1.8162)	Prec@1 53.125 (52.287)	Prec@5 78.125 (81.836)
Epoch: [75][5680/14090]	Time 0.780 (0.762)	Data 0.001 (0.002)	Loss 1.8982 (1.8162)	Prec@1 48.438 (52.289)	Prec@5 82.031 (81.836)
Epoch: [75][5690/14090]	Time 0.756 (0.762)	Data 0.001 (0.002)	Loss 1.8785 (1.8164)	Prec@1 52.344 (52.284)	Prec@5 78.906 (81.831)
Epoch: [75][5700/14090]	Time 0.724 (0.762)	Data 0.001 (0.002)	Loss 2.0590 (1.8166)	Prec@1 46.094 (52.279)	Prec@5 73.438 (81.826)
Epoch: [75][5710/14090]	Time 0.759 (0.762)	Data 0.001 (0.002)	Loss 1.8795 (1.8165)	Prec@1 52.344 (52.278)	Prec@5 81.250 (81.827)
Epoch: [75][5720/14090]	Time 0.743 (0.762)	Data 0.001 (0.002)	Loss 1.7557 (1.8167)	Prec@1 50.000 (52.276)	Prec@5 83.594 (81.825)
Epoch: [75][5730/14090]	Time 0.755 (0.762)	Data 0.001 (0.002)	Loss 1.8550 (1.8166)	Prec@1 50.000 (52.273)	Prec@5 82.031 (81.824)
Epoch: [75][5740/14090]	Time 0.799 (0.762)	Data 0.001 (0.002)	Loss 1.8499 (1.8168)	Prec@1 53.906 (52.273)	Prec@5 81.250 (81.820)
Epoch: [75][5750/14090]	Time 0.769 (0.762)	Data 0.001 (0.002)	Loss 1.5325 (1.8168)	Prec@1 60.156 (52.276)	Prec@5 87.500 (81.820)
Epoch: [75][5760/14090]	Time 0.776 (0.762)	Data 0.001 (0.002)	Loss 1.7267 (1.8168)	Prec@1 53.906 (52.279)	Prec@5 75.781 (81.818)
Epoch: [75][5770/14090]	Time 0.780 (0.762)	Data 0.001 (0.002)	Loss 1.9828 (1.8168)	Prec@1 51.562 (52.280)	Prec@5 79.688 (81.817)
Epoch: [75][5780/14090]	Time 0.767 (0.762)	Data 0.001 (0.002)	Loss 2.0161 (1.8169)	Prec@1 45.312 (52.280)	Prec@5 79.688 (81.815)
Epoch: [75][5790/14090]	Time 0.758 (0.762)	Data 0.001 (0.002)	Loss 2.1176 (1.8169)	Prec@1 49.219 (52.282)	Prec@5 76.562 (81.813)
Epoch: [75][5800/14090]	Time 0.737 (0.761)	Data 0.001 (0.002)	Loss 2.0495 (1.8168)	Prec@1 47.656 (52.283)	Prec@5 80.469 (81.816)
Epoch: [75][5810/14090]	Time 0.762 (0.761)	Data 0.001 (0.002)	Loss 2.0692 (1.8168)	Prec@1 46.875 (52.284)	Prec@5 80.469 (81.817)
Epoch: [75][5820/14090]	Time 0.746 (0.761)	Data 0.001 (0.002)	Loss 1.8048 (1.8168)	Prec@1 53.125 (52.283)	Prec@5 78.906 (81.816)
Epoch: [75][5830/14090]	Time 0.736 (0.761)	Data 0.001 (0.002)	Loss 1.8083 (1.8168)	Prec@1 50.781 (52.283)	Prec@5 83.594 (81.815)
Epoch: [75][5840/14090]	Time 0.735 (0.761)	Data 0.001 (0.002)	Loss 1.9005 (1.8167)	Prec@1 47.656 (52.284)	Prec@5 81.250 (81.817)
Epoch: [75][5850/14090]	Time 0.733 (0.761)	Data 0.001 (0.002)	Loss 1.8590 (1.8167)	Prec@1 50.000 (52.284)	Prec@5 82.031 (81.817)
Epoch: [75][5860/14090]	Time 0.759 (0.761)	Data 0.001 (0.002)	Loss 2.0495 (1.8169)	Prec@1 45.312 (52.281)	Prec@5 75.781 (81.813)
Epoch: [75][5870/14090]	Time 0.757 (0.761)	Data 0.001 (0.002)	Loss 1.8449 (1.8168)	Prec@1 51.562 (52.281)	Prec@5 80.469 (81.814)
Epoch: [75][5880/14090]	Time 0.825 (0.761)	Data 0.001 (0.002)	Loss 1.8867 (1.8168)	Prec@1 52.344 (52.282)	Prec@5 81.250 (81.815)
Epoch: [75][5890/14090]	Time 0.775 (0.761)	Data 0.001 (0.002)	Loss 1.7982 (1.8168)	Prec@1 54.688 (52.282)	Prec@5 83.594 (81.816)
Epoch: [75][5900/14090]	Time 0.777 (0.761)	Data 0.001 (0.002)	Loss 1.8833 (1.8166)	Prec@1 56.250 (52.286)	Prec@5 82.031 (81.819)
Epoch: [75][5910/14090]	Time 0.742 (0.761)	Data 0.001 (0.002)	Loss 1.6082 (1.8165)	Prec@1 54.688 (52.287)	Prec@5 85.938 (81.823)
Epoch: [75][5920/14090]	Time 0.725 (0.761)	Data 0.001 (0.002)	Loss 2.2780 (1.8165)	Prec@1 43.750 (52.288)	Prec@5 67.969 (81.821)
Epoch: [75][5930/14090]	Time 0.750 (0.761)	Data 0.001 (0.002)	Loss 1.8576 (1.8166)	Prec@1 51.562 (52.288)	Prec@5 82.031 (81.819)
Epoch: [75][5940/14090]	Time 0.746 (0.761)	Data 0.001 (0.002)	Loss 1.9325 (1.8166)	Prec@1 46.875 (52.290)	Prec@5 78.906 (81.818)
Epoch: [75][5950/14090]	Time 0.803 (0.761)	Data 0.001 (0.002)	Loss 1.8488 (1.8166)	Prec@1 51.562 (52.292)	Prec@5 78.906 (81.819)
Epoch: [75][5960/14090]	Time 0.751 (0.761)	Data 0.001 (0.002)	Loss 1.7693 (1.8167)	Prec@1 53.906 (52.290)	Prec@5 81.250 (81.819)
Epoch: [75][5970/14090]	Time 0.721 (0.761)	Data 0.001 (0.002)	Loss 1.6859 (1.8167)	Prec@1 56.250 (52.294)	Prec@5 82.812 (81.818)
Epoch: [75][5980/14090]	Time 0.751 (0.761)	Data 0.001 (0.002)	Loss 1.8486 (1.8167)	Prec@1 46.094 (52.290)	Prec@5 84.375 (81.819)
Epoch: [75][5990/14090]	Time 0.742 (0.761)	Data 0.001 (0.002)	Loss 1.7640 (1.8168)	Prec@1 57.031 (52.291)	Prec@5 85.156 (81.817)
Epoch: [75][6000/14090]	Time 0.743 (0.761)	Data 0.001 (0.002)	Loss 1.8339 (1.8169)	Prec@1 49.219 (52.287)	Prec@5 82.812 (81.815)
Epoch: [75][6010/14090]	Time 0.728 (0.761)	Data 0.001 (0.002)	Loss 1.8616 (1.8168)	Prec@1 52.344 (52.290)	Prec@5 83.594 (81.821)
Epoch: [75][6020/14090]	Time 0.802 (0.761)	Data 0.001 (0.002)	Loss 1.8027 (1.8169)	Prec@1 50.781 (52.287)	Prec@5 81.250 (81.819)
Epoch: [75][6030/14090]	Time 0.747 (0.761)	Data 0.001 (0.002)	Loss 1.9003 (1.8171)	Prec@1 53.906 (52.283)	Prec@5 82.031 (81.817)
Epoch: [75][6040/14090]	Time 0.746 (0.761)	Data 0.001 (0.002)	Loss 2.0713 (1.8172)	Prec@1 41.406 (52.280)	Prec@5 76.562 (81.816)
Epoch: [75][6050/14090]	Time 0.734 (0.761)	Data 0.001 (0.002)	Loss 2.0642 (1.8172)	Prec@1 41.406 (52.280)	Prec@5 73.438 (81.817)
Epoch: [75][6060/14090]	Time 0.726 (0.761)	Data 0.002 (0.002)	Loss 1.8988 (1.8173)	Prec@1 54.688 (52.279)	Prec@5 82.031 (81.816)
Epoch: [75][6070/14090]	Time 0.740 (0.761)	Data 0.001 (0.002)	Loss 1.9545 (1.8172)	Prec@1 45.312 (52.279)	Prec@5 83.594 (81.819)
Epoch: [75][6080/14090]	Time 0.761 (0.761)	Data 0.001 (0.002)	Loss 1.8521 (1.8172)	Prec@1 50.000 (52.278)	Prec@5 79.688 (81.818)
Epoch: [75][6090/14090]	Time 0.816 (0.761)	Data 0.001 (0.002)	Loss 1.7504 (1.8172)	Prec@1 50.000 (52.281)	Prec@5 85.156 (81.818)
Epoch: [75][6100/14090]	Time 0.748 (0.761)	Data 0.001 (0.002)	Loss 1.7973 (1.8172)	Prec@1 57.031 (52.281)	Prec@5 79.688 (81.817)
Epoch: [75][6110/14090]	Time 0.742 (0.761)	Data 0.001 (0.002)	Loss 1.6078 (1.8172)	Prec@1 55.469 (52.281)	Prec@5 85.156 (81.817)
Epoch: [75][6120/14090]	Time 0.725 (0.761)	Data 0.001 (0.002)	Loss 1.7785 (1.8172)	Prec@1 53.906 (52.281)	Prec@5 81.250 (81.817)
Epoch: [75][6130/14090]	Time 0.733 (0.761)	Data 0.001 (0.002)	Loss 2.0217 (1.8173)	Prec@1 52.344 (52.279)	Prec@5 77.344 (81.816)
Epoch: [75][6140/14090]	Time 0.725 (0.761)	Data 0.001 (0.002)	Loss 2.0350 (1.8174)	Prec@1 43.750 (52.276)	Prec@5 79.688 (81.813)
Epoch: [75][6150/14090]	Time 0.742 (0.761)	Data 0.001 (0.002)	Loss 1.8394 (1.8174)	Prec@1 52.344 (52.275)	Prec@5 79.688 (81.814)
Epoch: [75][6160/14090]	Time 0.828 (0.761)	Data 0.001 (0.002)	Loss 1.7303 (1.8173)	Prec@1 56.250 (52.278)	Prec@5 86.719 (81.813)
Epoch: [75][6170/14090]	Time 0.729 (0.761)	Data 0.001 (0.002)	Loss 1.7922 (1.8174)	Prec@1 50.000 (52.275)	Prec@5 82.031 (81.808)
Epoch: [75][6180/14090]	Time 0.722 (0.761)	Data 0.001 (0.002)	Loss 1.7185 (1.8174)	Prec@1 56.250 (52.275)	Prec@5 84.375 (81.808)
Epoch: [75][6190/14090]	Time 0.739 (0.761)	Data 0.001 (0.002)	Loss 1.7944 (1.8174)	Prec@1 47.656 (52.274)	Prec@5 84.375 (81.809)
Epoch: [75][6200/14090]	Time 0.742 (0.761)	Data 0.001 (0.002)	Loss 1.7692 (1.8174)	Prec@1 53.125 (52.273)	Prec@5 83.594 (81.808)
Epoch: [75][6210/14090]	Time 0.743 (0.761)	Data 0.001 (0.002)	Loss 1.8319 (1.8173)	Prec@1 54.688 (52.277)	Prec@5 83.594 (81.811)
Epoch: [75][6220/14090]	Time 0.757 (0.761)	Data 0.001 (0.002)	Loss 1.9879 (1.8173)	Prec@1 49.219 (52.276)	Prec@5 75.000 (81.810)
Epoch: [75][6230/14090]	Time 0.774 (0.761)	Data 0.001 (0.002)	Loss 1.8416 (1.8174)	Prec@1 57.031 (52.275)	Prec@5 81.250 (81.808)
Epoch: [75][6240/14090]	Time 0.757 (0.761)	Data 0.001 (0.002)	Loss 1.8794 (1.8173)	Prec@1 44.531 (52.276)	Prec@5 81.250 (81.810)
Epoch: [75][6250/14090]	Time 0.728 (0.761)	Data 0.001 (0.002)	Loss 1.6809 (1.8173)	Prec@1 57.031 (52.278)	Prec@5 84.375 (81.812)
Epoch: [75][6260/14090]	Time 0.746 (0.761)	Data 0.001 (0.002)	Loss 2.1148 (1.8174)	Prec@1 50.781 (52.273)	Prec@5 75.781 (81.810)
Epoch: [75][6270/14090]	Time 0.765 (0.761)	Data 0.001 (0.002)	Loss 1.6779 (1.8174)	Prec@1 60.156 (52.277)	Prec@5 84.375 (81.810)
Epoch: [75][6280/14090]	Time 0.749 (0.761)	Data 0.001 (0.002)	Loss 2.0717 (1.8174)	Prec@1 46.094 (52.280)	Prec@5 82.031 (81.809)
Epoch: [75][6290/14090]	Time 0.779 (0.761)	Data 0.001 (0.002)	Loss 1.9037 (1.8175)	Prec@1 54.688 (52.278)	Prec@5 78.906 (81.808)
Epoch: [75][6300/14090]	Time 0.842 (0.761)	Data 0.001 (0.002)	Loss 1.9814 (1.8176)	Prec@1 48.438 (52.273)	Prec@5 78.906 (81.805)
Epoch: [75][6310/14090]	Time 0.768 (0.761)	Data 0.001 (0.002)	Loss 1.8537 (1.8176)	Prec@1 52.344 (52.276)	Prec@5 82.031 (81.806)
Epoch: [75][6320/14090]	Time 0.771 (0.761)	Data 0.001 (0.002)	Loss 2.0008 (1.8177)	Prec@1 46.094 (52.275)	Prec@5 79.688 (81.804)
Epoch: [75][6330/14090]	Time 0.748 (0.761)	Data 0.001 (0.002)	Loss 1.7719 (1.8178)	Prec@1 54.688 (52.275)	Prec@5 80.469 (81.805)
Epoch: [75][6340/14090]	Time 0.738 (0.761)	Data 0.001 (0.002)	Loss 1.6448 (1.8178)	Prec@1 57.812 (52.275)	Prec@5 84.375 (81.806)
Epoch: [75][6350/14090]	Time 0.744 (0.761)	Data 0.001 (0.002)	Loss 1.9029 (1.8178)	Prec@1 47.656 (52.276)	Prec@5 78.906 (81.803)
Epoch: [75][6360/14090]	Time 0.731 (0.761)	Data 0.001 (0.002)	Loss 1.9149 (1.8178)	Prec@1 48.438 (52.277)	Prec@5 79.688 (81.804)
Epoch: [75][6370/14090]	Time 0.795 (0.761)	Data 0.001 (0.002)	Loss 1.8635 (1.8178)	Prec@1 55.469 (52.279)	Prec@5 80.469 (81.803)
Epoch: [75][6380/14090]	Time 0.759 (0.761)	Data 0.001 (0.002)	Loss 1.6410 (1.8179)	Prec@1 59.375 (52.279)	Prec@5 81.250 (81.803)
Epoch: [75][6390/14090]	Time 0.750 (0.761)	Data 0.001 (0.002)	Loss 1.8809 (1.8180)	Prec@1 50.000 (52.278)	Prec@5 82.812 (81.801)
Epoch: [75][6400/14090]	Time 0.745 (0.761)	Data 0.001 (0.002)	Loss 2.0304 (1.8181)	Prec@1 45.312 (52.277)	Prec@5 82.031 (81.798)
Epoch: [75][6410/14090]	Time 0.725 (0.761)	Data 0.001 (0.002)	Loss 1.5956 (1.8180)	Prec@1 57.812 (52.279)	Prec@5 83.594 (81.799)
Epoch: [75][6420/14090]	Time 0.752 (0.761)	Data 0.001 (0.002)	Loss 1.7089 (1.8181)	Prec@1 52.344 (52.275)	Prec@5 85.156 (81.799)
Epoch: [75][6430/14090]	Time 0.731 (0.761)	Data 0.001 (0.002)	Loss 1.5853 (1.8181)	Prec@1 58.594 (52.275)	Prec@5 83.594 (81.800)
Epoch: [75][6440/14090]	Time 0.776 (0.761)	Data 0.001 (0.002)	Loss 2.0425 (1.8181)	Prec@1 48.438 (52.275)	Prec@5 79.688 (81.802)
Epoch: [75][6450/14090]	Time 0.737 (0.761)	Data 0.001 (0.002)	Loss 2.0444 (1.8181)	Prec@1 52.344 (52.277)	Prec@5 77.344 (81.800)
Epoch: [75][6460/14090]	Time 0.749 (0.761)	Data 0.001 (0.002)	Loss 2.0250 (1.8181)	Prec@1 49.219 (52.279)	Prec@5 78.125 (81.801)
Epoch: [75][6470/14090]	Time 0.746 (0.761)	Data 0.001 (0.002)	Loss 2.1324 (1.8182)	Prec@1 48.438 (52.274)	Prec@5 71.875 (81.797)
Epoch: [75][6480/14090]	Time 0.760 (0.761)	Data 0.001 (0.002)	Loss 1.7895 (1.8182)	Prec@1 51.562 (52.275)	Prec@5 83.594 (81.795)
Epoch: [75][6490/14090]	Time 0.743 (0.761)	Data 0.001 (0.002)	Loss 1.7779 (1.8184)	Prec@1 55.469 (52.273)	Prec@5 82.031 (81.794)
Epoch: [75][6500/14090]	Time 0.739 (0.761)	Data 0.001 (0.002)	Loss 1.6690 (1.8183)	Prec@1 53.906 (52.275)	Prec@5 87.500 (81.798)
Epoch: [75][6510/14090]	Time 0.831 (0.761)	Data 0.001 (0.002)	Loss 1.9596 (1.8181)	Prec@1 50.781 (52.277)	Prec@5 77.344 (81.801)
Epoch: [75][6520/14090]	Time 0.753 (0.761)	Data 0.001 (0.002)	Loss 1.6295 (1.8180)	Prec@1 54.688 (52.280)	Prec@5 82.812 (81.803)
Epoch: [75][6530/14090]	Time 0.748 (0.761)	Data 0.001 (0.002)	Loss 1.4964 (1.8181)	Prec@1 59.375 (52.280)	Prec@5 89.844 (81.805)
Epoch: [75][6540/14090]	Time 0.756 (0.761)	Data 0.001 (0.002)	Loss 1.6509 (1.8182)	Prec@1 57.031 (52.278)	Prec@5 83.594 (81.803)
Epoch: [75][6550/14090]	Time 0.738 (0.761)	Data 0.001 (0.002)	Loss 1.7946 (1.8181)	Prec@1 56.250 (52.280)	Prec@5 81.250 (81.802)
Epoch: [75][6560/14090]	Time 0.772 (0.761)	Data 0.001 (0.002)	Loss 1.8054 (1.8182)	Prec@1 55.469 (52.276)	Prec@5 82.031 (81.801)
Epoch: [75][6570/14090]	Time 0.742 (0.761)	Data 0.001 (0.002)	Loss 1.7098 (1.8181)	Prec@1 53.906 (52.275)	Prec@5 84.375 (81.803)
Epoch: [75][6580/14090]	Time 0.766 (0.761)	Data 0.001 (0.002)	Loss 1.6343 (1.8181)	Prec@1 53.906 (52.275)	Prec@5 84.375 (81.804)
Epoch: [75][6590/14090]	Time 0.755 (0.761)	Data 0.001 (0.002)	Loss 1.9446 (1.8181)	Prec@1 42.969 (52.276)	Prec@5 82.812 (81.803)
Epoch: [75][6600/14090]	Time 0.733 (0.761)	Data 0.001 (0.002)	Loss 1.9618 (1.8181)	Prec@1 49.219 (52.275)	Prec@5 78.125 (81.804)
Epoch: [75][6610/14090]	Time 0.754 (0.761)	Data 0.001 (0.002)	Loss 1.9576 (1.8181)	Prec@1 49.219 (52.272)	Prec@5 82.031 (81.805)
Epoch: [75][6620/14090]	Time 0.786 (0.761)	Data 0.001 (0.002)	Loss 1.8083 (1.8182)	Prec@1 47.656 (52.270)	Prec@5 81.250 (81.804)
Epoch: [75][6630/14090]	Time 0.753 (0.761)	Data 0.001 (0.002)	Loss 1.5532 (1.8181)	Prec@1 57.812 (52.271)	Prec@5 89.062 (81.804)
Epoch: [75][6640/14090]	Time 0.722 (0.761)	Data 0.001 (0.002)	Loss 1.5335 (1.8181)	Prec@1 60.156 (52.270)	Prec@5 89.844 (81.804)
Epoch: [75][6650/14090]	Time 0.860 (0.761)	Data 0.001 (0.002)	Loss 1.8607 (1.8183)	Prec@1 48.438 (52.267)	Prec@5 79.688 (81.799)
Epoch: [75][6660/14090]	Time 0.761 (0.761)	Data 0.001 (0.002)	Loss 1.5105 (1.8183)	Prec@1 62.500 (52.266)	Prec@5 87.500 (81.799)
Epoch: [75][6670/14090]	Time 0.744 (0.761)	Data 0.001 (0.002)	Loss 1.8100 (1.8183)	Prec@1 52.344 (52.267)	Prec@5 81.250 (81.799)
Epoch: [75][6680/14090]	Time 0.751 (0.761)	Data 0.001 (0.002)	Loss 2.0607 (1.8184)	Prec@1 48.438 (52.268)	Prec@5 80.469 (81.798)
Epoch: [75][6690/14090]	Time 0.730 (0.761)	Data 0.001 (0.002)	Loss 1.8107 (1.8184)	Prec@1 50.781 (52.267)	Prec@5 79.688 (81.798)
Epoch: [75][6700/14090]	Time 0.754 (0.761)	Data 0.001 (0.002)	Loss 1.9826 (1.8186)	Prec@1 45.312 (52.264)	Prec@5 78.125 (81.795)
Epoch: [75][6710/14090]	Time 0.738 (0.761)	Data 0.001 (0.002)	Loss 1.7002 (1.8185)	Prec@1 60.156 (52.265)	Prec@5 79.688 (81.795)
Epoch: [75][6720/14090]	Time 0.804 (0.761)	Data 0.001 (0.002)	Loss 1.9109 (1.8185)	Prec@1 50.781 (52.265)	Prec@5 80.469 (81.794)
Epoch: [75][6730/14090]	Time 0.755 (0.761)	Data 0.001 (0.002)	Loss 1.7496 (1.8185)	Prec@1 47.656 (52.267)	Prec@5 84.375 (81.794)
Epoch: [75][6740/14090]	Time 0.746 (0.761)	Data 0.001 (0.002)	Loss 1.7044 (1.8185)	Prec@1 55.469 (52.267)	Prec@5 84.375 (81.794)
Epoch: [75][6750/14090]	Time 0.741 (0.761)	Data 0.001 (0.002)	Loss 1.5874 (1.8184)	Prec@1 60.938 (52.270)	Prec@5 86.719 (81.795)
Epoch: [75][6760/14090]	Time 0.791 (0.761)	Data 0.001 (0.002)	Loss 1.8892 (1.8185)	Prec@1 48.438 (52.270)	Prec@5 81.250 (81.793)
Epoch: [75][6770/14090]	Time 0.729 (0.761)	Data 0.001 (0.002)	Loss 2.0849 (1.8185)	Prec@1 43.750 (52.273)	Prec@5 75.000 (81.794)
Epoch: [75][6780/14090]	Time 0.737 (0.761)	Data 0.001 (0.002)	Loss 1.7109 (1.8183)	Prec@1 57.031 (52.274)	Prec@5 86.719 (81.796)
Epoch: [75][6790/14090]	Time 0.848 (0.761)	Data 0.001 (0.002)	Loss 1.9881 (1.8183)	Prec@1 43.750 (52.272)	Prec@5 80.469 (81.797)
Epoch: [75][6800/14090]	Time 0.779 (0.761)	Data 0.001 (0.002)	Loss 1.7860 (1.8184)	Prec@1 49.219 (52.270)	Prec@5 85.156 (81.798)
Epoch: [75][6810/14090]	Time 0.725 (0.761)	Data 0.001 (0.002)	Loss 1.7903 (1.8183)	Prec@1 53.906 (52.274)	Prec@5 75.000 (81.799)
Epoch: [75][6820/14090]	Time 0.787 (0.761)	Data 0.001 (0.002)	Loss 1.7153 (1.8183)	Prec@1 57.031 (52.273)	Prec@5 82.031 (81.794)
Epoch: [75][6830/14090]	Time 0.739 (0.761)	Data 0.001 (0.002)	Loss 1.7389 (1.8183)	Prec@1 51.562 (52.274)	Prec@5 81.250 (81.795)
Epoch: [75][6840/14090]	Time 0.755 (0.761)	Data 0.001 (0.002)	Loss 1.6408 (1.8181)	Prec@1 57.812 (52.277)	Prec@5 85.156 (81.798)
Epoch: [75][6850/14090]	Time 0.752 (0.761)	Data 0.001 (0.002)	Loss 1.7114 (1.8181)	Prec@1 47.656 (52.276)	Prec@5 85.156 (81.799)
Epoch: [75][6860/14090]	Time 0.855 (0.761)	Data 0.001 (0.002)	Loss 1.6830 (1.8180)	Prec@1 54.688 (52.276)	Prec@5 84.375 (81.800)
Epoch: [75][6870/14090]	Time 0.762 (0.761)	Data 0.001 (0.002)	Loss 1.9272 (1.8181)	Prec@1 51.562 (52.274)	Prec@5 75.781 (81.800)
Epoch: [75][6880/14090]	Time 0.753 (0.761)	Data 0.001 (0.002)	Loss 1.8222 (1.8179)	Prec@1 57.031 (52.280)	Prec@5 83.594 (81.804)
Epoch: [75][6890/14090]	Time 0.753 (0.761)	Data 0.001 (0.002)	Loss 1.9084 (1.8179)	Prec@1 49.219 (52.280)	Prec@5 78.125 (81.803)
Epoch: [75][6900/14090]	Time 0.726 (0.761)	Data 0.001 (0.002)	Loss 2.0150 (1.8177)	Prec@1 49.219 (52.282)	Prec@5 73.438 (81.805)
Epoch: [75][6910/14090]	Time 0.737 (0.761)	Data 0.001 (0.002)	Loss 1.6976 (1.8177)	Prec@1 57.031 (52.282)	Prec@5 89.062 (81.805)
Epoch: [75][6920/14090]	Time 0.756 (0.761)	Data 0.001 (0.002)	Loss 1.8564 (1.8178)	Prec@1 50.781 (52.282)	Prec@5 81.250 (81.803)
Epoch: [75][6930/14090]	Time 0.793 (0.761)	Data 0.001 (0.001)	Loss 1.7319 (1.8177)	Prec@1 50.000 (52.284)	Prec@5 82.812 (81.801)
Epoch: [75][6940/14090]	Time 0.727 (0.761)	Data 0.001 (0.001)	Loss 1.8300 (1.8177)	Prec@1 53.125 (52.285)	Prec@5 80.469 (81.800)
Epoch: [75][6950/14090]	Time 0.753 (0.761)	Data 0.001 (0.001)	Loss 1.6188 (1.8176)	Prec@1 56.250 (52.287)	Prec@5 87.500 (81.800)
Epoch: [75][6960/14090]	Time 0.724 (0.761)	Data 0.001 (0.001)	Loss 1.7051 (1.8177)	Prec@1 53.125 (52.287)	Prec@5 82.031 (81.800)
Epoch: [75][6970/14090]	Time 0.772 (0.761)	Data 0.001 (0.001)	Loss 1.7605 (1.8176)	Prec@1 57.812 (52.288)	Prec@5 83.594 (81.800)
Epoch: [75][6980/14090]	Time 0.740 (0.761)	Data 0.001 (0.001)	Loss 1.7962 (1.8176)	Prec@1 52.344 (52.288)	Prec@5 84.375 (81.800)
Epoch: [75][6990/14090]	Time 0.749 (0.761)	Data 0.001 (0.001)	Loss 1.8941 (1.8176)	Prec@1 56.250 (52.289)	Prec@5 81.250 (81.799)
Epoch: [75][7000/14090]	Time 0.827 (0.761)	Data 0.001 (0.001)	Loss 1.8605 (1.8176)	Prec@1 50.781 (52.288)	Prec@5 82.031 (81.799)
Epoch: [75][7010/14090]	Time 0.751 (0.761)	Data 0.001 (0.001)	Loss 1.9799 (1.8176)	Prec@1 51.562 (52.289)	Prec@5 80.469 (81.799)
Epoch: [75][7020/14090]	Time 0.735 (0.761)	Data 0.001 (0.001)	Loss 1.8330 (1.8176)	Prec@1 51.562 (52.290)	Prec@5 82.812 (81.799)
Epoch: [75][7030/14090]	Time 0.734 (0.761)	Data 0.001 (0.001)	Loss 1.6530 (1.8176)	Prec@1 57.031 (52.288)	Prec@5 85.156 (81.800)
Epoch: [75][7040/14090]	Time 0.785 (0.761)	Data 0.001 (0.001)	Loss 1.7010 (1.8176)	Prec@1 53.906 (52.288)	Prec@5 82.812 (81.799)
Epoch: [75][7050/14090]	Time 0.769 (0.761)	Data 0.001 (0.001)	Loss 1.8820 (1.8177)	Prec@1 50.781 (52.285)	Prec@5 79.688 (81.798)
Epoch: [75][7060/14090]	Time 0.733 (0.761)	Data 0.001 (0.001)	Loss 2.0034 (1.8178)	Prec@1 49.219 (52.284)	Prec@5 77.344 (81.797)
Epoch: [75][7070/14090]	Time 0.872 (0.761)	Data 0.001 (0.001)	Loss 2.2245 (1.8177)	Prec@1 45.312 (52.284)	Prec@5 73.438 (81.801)
Epoch: [75][7080/14090]	Time 0.777 (0.761)	Data 0.001 (0.001)	Loss 1.6736 (1.8177)	Prec@1 57.031 (52.285)	Prec@5 82.031 (81.799)
Epoch: [75][7090/14090]	Time 0.777 (0.761)	Data 0.001 (0.001)	Loss 1.9452 (1.8177)	Prec@1 49.219 (52.283)	Prec@5 80.469 (81.798)
Epoch: [75][7100/14090]	Time 0.731 (0.761)	Data 0.001 (0.001)	Loss 1.8680 (1.8177)	Prec@1 52.344 (52.281)	Prec@5 82.031 (81.796)
Epoch: [75][7110/14090]	Time 0.734 (0.761)	Data 0.001 (0.001)	Loss 1.8321 (1.8177)	Prec@1 54.688 (52.282)	Prec@5 86.719 (81.796)
Epoch: [75][7120/14090]	Time 0.749 (0.761)	Data 0.001 (0.001)	Loss 2.2525 (1.8178)	Prec@1 45.312 (52.281)	Prec@5 78.125 (81.795)
Epoch: [75][7130/14090]	Time 0.725 (0.761)	Data 0.001 (0.001)	Loss 1.8503 (1.8179)	Prec@1 54.688 (52.278)	Prec@5 82.031 (81.794)
Epoch: [75][7140/14090]	Time 0.878 (0.761)	Data 0.001 (0.001)	Loss 1.6495 (1.8179)	Prec@1 53.125 (52.280)	Prec@5 85.156 (81.793)
Epoch: [75][7150/14090]	Time 0.751 (0.761)	Data 0.001 (0.001)	Loss 1.4239 (1.8178)	Prec@1 62.500 (52.281)	Prec@5 87.500 (81.795)
Epoch: [75][7160/14090]	Time 0.736 (0.761)	Data 0.001 (0.001)	Loss 1.7747 (1.8178)	Prec@1 54.688 (52.282)	Prec@5 81.250 (81.795)
Epoch: [75][7170/14090]	Time 0.763 (0.761)	Data 0.001 (0.001)	Loss 2.0883 (1.8179)	Prec@1 46.094 (52.278)	Prec@5 75.781 (81.794)
Epoch: [75][7180/14090]	Time 0.742 (0.761)	Data 0.001 (0.001)	Loss 1.9577 (1.8179)	Prec@1 50.000 (52.279)	Prec@5 77.344 (81.793)
Epoch: [75][7190/14090]	Time 0.752 (0.761)	Data 0.001 (0.001)	Loss 1.8072 (1.8180)	Prec@1 55.469 (52.278)	Prec@5 81.250 (81.792)
Epoch: [75][7200/14090]	Time 0.728 (0.761)	Data 0.001 (0.001)	Loss 1.7824 (1.8179)	Prec@1 51.562 (52.281)	Prec@5 82.812 (81.794)
Epoch: [75][7210/14090]	Time 0.819 (0.761)	Data 0.001 (0.001)	Loss 1.6356 (1.8178)	Prec@1 53.906 (52.283)	Prec@5 82.812 (81.794)
Epoch: [75][7220/14090]	Time 0.754 (0.761)	Data 0.001 (0.001)	Loss 2.0241 (1.8177)	Prec@1 45.312 (52.280)	Prec@5 76.562 (81.795)
Epoch: [75][7230/14090]	Time 0.729 (0.761)	Data 0.001 (0.001)	Loss 1.8827 (1.8177)	Prec@1 53.125 (52.281)	Prec@5 80.469 (81.796)
Epoch: [75][7240/14090]	Time 0.760 (0.761)	Data 0.001 (0.001)	Loss 1.7603 (1.8177)	Prec@1 55.469 (52.282)	Prec@5 83.594 (81.797)
Epoch: [75][7250/14090]	Time 0.759 (0.761)	Data 0.001 (0.001)	Loss 1.7153 (1.8177)	Prec@1 56.250 (52.282)	Prec@5 83.594 (81.797)
Epoch: [75][7260/14090]	Time 0.754 (0.761)	Data 0.001 (0.001)	Loss 1.8522 (1.8178)	Prec@1 53.125 (52.278)	Prec@5 81.250 (81.796)
Epoch: [75][7270/14090]	Time 0.773 (0.761)	Data 0.001 (0.001)	Loss 1.6521 (1.8178)	Prec@1 57.031 (52.280)	Prec@5 85.938 (81.795)
Epoch: [75][7280/14090]	Time 0.810 (0.761)	Data 0.001 (0.001)	Loss 1.7473 (1.8177)	Prec@1 57.031 (52.282)	Prec@5 85.938 (81.797)
Epoch: [75][7290/14090]	Time 0.783 (0.761)	Data 0.001 (0.001)	Loss 1.7801 (1.8177)	Prec@1 51.562 (52.282)	Prec@5 85.938 (81.798)
Epoch: [75][7300/14090]	Time 0.748 (0.761)	Data 0.001 (0.001)	Loss 1.7463 (1.8177)	Prec@1 52.344 (52.282)	Prec@5 80.469 (81.799)
Epoch: [75][7310/14090]	Time 0.744 (0.761)	Data 0.001 (0.001)	Loss 1.7190 (1.8175)	Prec@1 56.250 (52.288)	Prec@5 85.938 (81.802)
Epoch: [75][7320/14090]	Time 0.786 (0.761)	Data 0.001 (0.001)	Loss 2.1668 (1.8175)	Prec@1 47.656 (52.289)	Prec@5 78.125 (81.802)
Epoch: [75][7330/14090]	Time 0.761 (0.761)	Data 0.001 (0.001)	Loss 1.9515 (1.8175)	Prec@1 45.312 (52.290)	Prec@5 78.906 (81.802)
Epoch: [75][7340/14090]	Time 0.758 (0.761)	Data 0.001 (0.001)	Loss 1.9647 (1.8175)	Prec@1 50.781 (52.292)	Prec@5 81.250 (81.801)
Epoch: [75][7350/14090]	Time 1.011 (0.761)	Data 0.001 (0.001)	Loss 1.9058 (1.8175)	Prec@1 59.375 (52.295)	Prec@5 78.125 (81.802)
Epoch: [75][7360/14090]	Time 0.768 (0.761)	Data 0.001 (0.001)	Loss 1.7732 (1.8176)	Prec@1 59.375 (52.293)	Prec@5 81.250 (81.800)
Epoch: [75][7370/14090]	Time 0.761 (0.761)	Data 0.001 (0.001)	Loss 1.6492 (1.8175)	Prec@1 56.250 (52.292)	Prec@5 83.594 (81.800)
Epoch: [75][7380/14090]	Time 0.729 (0.761)	Data 0.001 (0.001)	Loss 1.6945 (1.8176)	Prec@1 61.719 (52.294)	Prec@5 79.688 (81.799)
Epoch: [75][7390/14090]	Time 0.776 (0.761)	Data 0.001 (0.001)	Loss 2.0623 (1.8176)	Prec@1 45.312 (52.291)	Prec@5 78.906 (81.799)
Epoch: [75][7400/14090]	Time 0.771 (0.761)	Data 0.001 (0.001)	Loss 1.8303 (1.8176)	Prec@1 51.562 (52.291)	Prec@5 84.375 (81.800)
Epoch: [75][7410/14090]	Time 0.772 (0.761)	Data 0.001 (0.001)	Loss 1.7715 (1.8176)	Prec@1 55.469 (52.293)	Prec@5 83.594 (81.801)
Epoch: [75][7420/14090]	Time 0.914 (0.761)	Data 0.001 (0.001)	Loss 1.8915 (1.8177)	Prec@1 51.562 (52.292)	Prec@5 82.031 (81.800)
Epoch: [75][7430/14090]	Time 0.760 (0.761)	Data 0.001 (0.001)	Loss 1.9177 (1.8178)	Prec@1 49.219 (52.291)	Prec@5 81.250 (81.799)
Epoch: [75][7440/14090]	Time 0.730 (0.761)	Data 0.001 (0.001)	Loss 1.8941 (1.8177)	Prec@1 48.438 (52.290)	Prec@5 78.125 (81.798)
Epoch: [75][7450/14090]	Time 0.770 (0.761)	Data 0.001 (0.001)	Loss 1.8392 (1.8178)	Prec@1 57.031 (52.290)	Prec@5 80.469 (81.798)
Epoch: [75][7460/14090]	Time 0.783 (0.761)	Data 0.001 (0.001)	Loss 1.6674 (1.8178)	Prec@1 53.906 (52.287)	Prec@5 85.156 (81.799)
Epoch: [75][7470/14090]	Time 0.740 (0.761)	Data 0.001 (0.001)	Loss 1.9716 (1.8178)	Prec@1 47.656 (52.288)	Prec@5 80.469 (81.800)
Epoch: [75][7480/14090]	Time 0.733 (0.761)	Data 0.001 (0.001)	Loss 1.8615 (1.8178)	Prec@1 53.125 (52.291)	Prec@5 81.250 (81.801)
Epoch: [75][7490/14090]	Time 0.832 (0.761)	Data 0.001 (0.001)	Loss 1.7064 (1.8178)	Prec@1 60.156 (52.291)	Prec@5 82.031 (81.798)
Epoch: [75][7500/14090]	Time 0.773 (0.761)	Data 0.001 (0.001)	Loss 1.6774 (1.8179)	Prec@1 56.250 (52.292)	Prec@5 85.156 (81.798)
Epoch: [75][7510/14090]	Time 0.733 (0.761)	Data 0.001 (0.001)	Loss 1.7359 (1.8178)	Prec@1 54.688 (52.296)	Prec@5 82.031 (81.798)
Epoch: [75][7520/14090]	Time 0.732 (0.761)	Data 0.001 (0.001)	Loss 1.7784 (1.8178)	Prec@1 52.344 (52.294)	Prec@5 82.031 (81.797)
Epoch: [75][7530/14090]	Time 0.787 (0.761)	Data 0.001 (0.001)	Loss 1.9680 (1.8178)	Prec@1 51.562 (52.295)	Prec@5 76.562 (81.798)
Epoch: [75][7540/14090]	Time 0.768 (0.761)	Data 0.001 (0.001)	Loss 1.8351 (1.8178)	Prec@1 57.812 (52.295)	Prec@5 79.688 (81.799)
Epoch: [75][7550/14090]	Time 0.761 (0.761)	Data 0.001 (0.001)	Loss 2.0273 (1.8178)	Prec@1 48.438 (52.296)	Prec@5 79.688 (81.798)
Epoch: [75][7560/14090]	Time 0.773 (0.761)	Data 0.001 (0.001)	Loss 1.7361 (1.8178)	Prec@1 49.219 (52.293)	Prec@5 84.375 (81.799)
Epoch: [75][7570/14090]	Time 0.729 (0.761)	Data 0.001 (0.001)	Loss 1.9989 (1.8178)	Prec@1 53.125 (52.296)	Prec@5 78.125 (81.798)
Epoch: [75][7580/14090]	Time 0.746 (0.761)	Data 0.001 (0.001)	Loss 1.8722 (1.8179)	Prec@1 48.438 (52.294)	Prec@5 82.812 (81.796)
Epoch: [75][7590/14090]	Time 0.776 (0.761)	Data 0.001 (0.001)	Loss 1.7297 (1.8180)	Prec@1 53.125 (52.289)	Prec@5 82.031 (81.794)
Epoch: [75][7600/14090]	Time 0.737 (0.761)	Data 0.001 (0.001)	Loss 1.5752 (1.8179)	Prec@1 57.812 (52.292)	Prec@5 88.281 (81.795)
Epoch: [75][7610/14090]	Time 0.754 (0.761)	Data 0.001 (0.001)	Loss 1.9073 (1.8180)	Prec@1 50.781 (52.292)	Prec@5 79.688 (81.795)
Epoch: [75][7620/14090]	Time 0.772 (0.761)	Data 0.001 (0.001)	Loss 1.7588 (1.8179)	Prec@1 57.031 (52.294)	Prec@5 80.469 (81.796)
Epoch: [75][7630/14090]	Time 0.822 (0.761)	Data 0.001 (0.001)	Loss 1.8128 (1.8179)	Prec@1 52.344 (52.293)	Prec@5 82.812 (81.797)
Epoch: [75][7640/14090]	Time 0.733 (0.761)	Data 0.001 (0.001)	Loss 1.8549 (1.8179)	Prec@1 52.344 (52.293)	Prec@5 80.469 (81.796)
Epoch: [75][7650/14090]	Time 0.752 (0.761)	Data 0.001 (0.001)	Loss 1.5278 (1.8178)	Prec@1 56.250 (52.295)	Prec@5 88.281 (81.799)
Epoch: [75][7660/14090]	Time 0.780 (0.761)	Data 0.001 (0.001)	Loss 1.9552 (1.8178)	Prec@1 47.656 (52.293)	Prec@5 81.250 (81.800)
Epoch: [75][7670/14090]	Time 0.785 (0.761)	Data 0.001 (0.001)	Loss 1.6571 (1.8178)	Prec@1 54.688 (52.296)	Prec@5 87.500 (81.797)
Epoch: [75][7680/14090]	Time 0.747 (0.761)	Data 0.001 (0.001)	Loss 1.3962 (1.8178)	Prec@1 59.375 (52.299)	Prec@5 89.062 (81.797)
Epoch: [75][7690/14090]	Time 0.739 (0.761)	Data 0.001 (0.001)	Loss 1.8090 (1.8177)	Prec@1 53.125 (52.300)	Prec@5 81.250 (81.798)
Epoch: [75][7700/14090]	Time 0.778 (0.761)	Data 0.001 (0.001)	Loss 2.0705 (1.8177)	Prec@1 46.875 (52.299)	Prec@5 73.438 (81.797)
Epoch: [75][7710/14090]	Time 0.751 (0.761)	Data 0.001 (0.001)	Loss 2.0099 (1.8178)	Prec@1 46.094 (52.298)	Prec@5 78.125 (81.796)
Epoch: [75][7720/14090]	Time 0.773 (0.761)	Data 0.001 (0.001)	Loss 1.7718 (1.8178)	Prec@1 57.031 (52.297)	Prec@5 84.375 (81.795)
Epoch: [75][7730/14090]	Time 0.732 (0.761)	Data 0.001 (0.001)	Loss 1.5252 (1.8179)	Prec@1 58.594 (52.299)	Prec@5 86.719 (81.794)
Epoch: [75][7740/14090]	Time 0.733 (0.761)	Data 0.001 (0.001)	Loss 2.1396 (1.8179)	Prec@1 46.094 (52.300)	Prec@5 78.125 (81.795)
Epoch: [75][7750/14090]	Time 0.733 (0.761)	Data 0.001 (0.001)	Loss 1.9383 (1.8178)	Prec@1 50.781 (52.303)	Prec@5 74.219 (81.796)
Epoch: [75][7760/14090]	Time 0.745 (0.761)	Data 0.001 (0.001)	Loss 1.7876 (1.8177)	Prec@1 53.125 (52.302)	Prec@5 79.688 (81.799)
Epoch: [75][7770/14090]	Time 0.807 (0.761)	Data 0.001 (0.001)	Loss 1.7729 (1.8178)	Prec@1 53.906 (52.301)	Prec@5 80.469 (81.798)
Epoch: [75][7780/14090]	Time 0.722 (0.761)	Data 0.001 (0.001)	Loss 1.7581 (1.8178)	Prec@1 50.000 (52.301)	Prec@5 83.594 (81.798)
Epoch: [75][7790/14090]	Time 0.745 (0.761)	Data 0.001 (0.001)	Loss 2.1064 (1.8180)	Prec@1 46.875 (52.298)	Prec@5 74.219 (81.796)
Epoch: [75][7800/14090]	Time 0.728 (0.761)	Data 0.001 (0.001)	Loss 1.9704 (1.8180)	Prec@1 42.969 (52.296)	Prec@5 82.031 (81.796)
Epoch: [75][7810/14090]	Time 0.766 (0.761)	Data 0.001 (0.001)	Loss 1.5784 (1.8179)	Prec@1 57.812 (52.299)	Prec@5 86.719 (81.796)
Epoch: [75][7820/14090]	Time 0.775 (0.761)	Data 0.001 (0.001)	Loss 1.7211 (1.8179)	Prec@1 53.906 (52.298)	Prec@5 82.031 (81.795)
Epoch: [75][7830/14090]	Time 0.747 (0.761)	Data 0.001 (0.001)	Loss 1.9747 (1.8180)	Prec@1 49.219 (52.296)	Prec@5 78.125 (81.795)
Epoch: [75][7840/14090]	Time 0.832 (0.761)	Data 0.001 (0.001)	Loss 1.7941 (1.8180)	Prec@1 56.250 (52.296)	Prec@5 83.594 (81.794)
Epoch: [75][7850/14090]	Time 0.725 (0.761)	Data 0.001 (0.001)	Loss 2.1389 (1.8181)	Prec@1 45.312 (52.294)	Prec@5 75.000 (81.793)
Epoch: [75][7860/14090]	Time 0.730 (0.761)	Data 0.002 (0.001)	Loss 1.6609 (1.8181)	Prec@1 52.344 (52.292)	Prec@5 87.500 (81.795)
Epoch: [75][7870/14090]	Time 0.742 (0.761)	Data 0.001 (0.001)	Loss 1.8456 (1.8181)	Prec@1 50.781 (52.293)	Prec@5 83.594 (81.795)
Epoch: [75][7880/14090]	Time 0.732 (0.761)	Data 0.001 (0.001)	Loss 1.9489 (1.8181)	Prec@1 48.438 (52.291)	Prec@5 84.375 (81.795)
Epoch: [75][7890/14090]	Time 0.744 (0.761)	Data 0.001 (0.001)	Loss 1.9859 (1.8181)	Prec@1 47.656 (52.290)	Prec@5 78.906 (81.795)
Epoch: [75][7900/14090]	Time 0.735 (0.761)	Data 0.001 (0.001)	Loss 2.0383 (1.8182)	Prec@1 47.656 (52.285)	Prec@5 73.438 (81.792)
Epoch: [75][7910/14090]	Time 0.820 (0.761)	Data 0.001 (0.001)	Loss 1.6654 (1.8182)	Prec@1 57.031 (52.284)	Prec@5 82.031 (81.792)
Epoch: [75][7920/14090]	Time 0.774 (0.761)	Data 0.001 (0.001)	Loss 1.6820 (1.8182)	Prec@1 54.688 (52.285)	Prec@5 82.031 (81.792)
Epoch: [75][7930/14090]	Time 0.771 (0.761)	Data 0.001 (0.001)	Loss 1.8533 (1.8184)	Prec@1 51.562 (52.282)	Prec@5 81.250 (81.789)
Epoch: [75][7940/14090]	Time 0.741 (0.761)	Data 0.001 (0.001)	Loss 2.1582 (1.8186)	Prec@1 49.219 (52.279)	Prec@5 74.219 (81.785)
Epoch: [75][7950/14090]	Time 0.771 (0.761)	Data 0.001 (0.001)	Loss 1.8954 (1.8187)	Prec@1 56.250 (52.279)	Prec@5 81.250 (81.783)
Epoch: [75][7960/14090]	Time 0.749 (0.761)	Data 0.001 (0.001)	Loss 2.1477 (1.8187)	Prec@1 52.344 (52.278)	Prec@5 76.562 (81.782)
Epoch: [75][7970/14090]	Time 0.731 (0.761)	Data 0.001 (0.001)	Loss 1.8236 (1.8187)	Prec@1 54.688 (52.277)	Prec@5 77.344 (81.783)
Epoch: [75][7980/14090]	Time 0.825 (0.761)	Data 0.001 (0.001)	Loss 1.8269 (1.8187)	Prec@1 50.000 (52.277)	Prec@5 81.250 (81.784)
Epoch: [75][7990/14090]	Time 0.745 (0.761)	Data 0.001 (0.001)	Loss 1.7112 (1.8186)	Prec@1 60.938 (52.277)	Prec@5 83.594 (81.786)
Epoch: [75][8000/14090]	Time 0.745 (0.761)	Data 0.001 (0.001)	Loss 2.0522 (1.8186)	Prec@1 46.094 (52.276)	Prec@5 74.219 (81.785)
Epoch: [75][8010/14090]	Time 0.753 (0.761)	Data 0.001 (0.001)	Loss 1.8828 (1.8187)	Prec@1 54.688 (52.276)	Prec@5 81.250 (81.783)
Epoch: [75][8020/14090]	Time 0.788 (0.761)	Data 0.001 (0.001)	Loss 1.9372 (1.8187)	Prec@1 52.344 (52.275)	Prec@5 81.250 (81.784)
Epoch: [75][8030/14090]	Time 0.743 (0.761)	Data 0.001 (0.001)	Loss 1.7335 (1.8186)	Prec@1 53.906 (52.277)	Prec@5 84.375 (81.784)
Epoch: [75][8040/14090]	Time 0.778 (0.761)	Data 0.001 (0.001)	Loss 2.0024 (1.8186)	Prec@1 50.000 (52.279)	Prec@5 77.344 (81.783)
Epoch: [75][8050/14090]	Time 0.834 (0.761)	Data 0.001 (0.001)	Loss 1.6985 (1.8185)	Prec@1 57.031 (52.281)	Prec@5 82.031 (81.784)
Epoch: [75][8060/14090]	Time 0.724 (0.761)	Data 0.001 (0.001)	Loss 1.7740 (1.8186)	Prec@1 56.250 (52.281)	Prec@5 77.344 (81.782)
Epoch: [75][8070/14090]	Time 0.743 (0.761)	Data 0.001 (0.001)	Loss 1.5832 (1.8186)	Prec@1 58.594 (52.280)	Prec@5 86.719 (81.783)
Epoch: [75][8080/14090]	Time 0.762 (0.761)	Data 0.001 (0.001)	Loss 1.7948 (1.8184)	Prec@1 55.469 (52.284)	Prec@5 79.688 (81.784)
Epoch: [75][8090/14090]	Time 0.736 (0.761)	Data 0.001 (0.001)	Loss 1.6758 (1.8184)	Prec@1 53.906 (52.283)	Prec@5 81.250 (81.784)
Epoch: [75][8100/14090]	Time 0.747 (0.761)	Data 0.001 (0.001)	Loss 1.8818 (1.8184)	Prec@1 53.125 (52.283)	Prec@5 80.469 (81.785)
Epoch: [75][8110/14090]	Time 0.775 (0.761)	Data 0.001 (0.001)	Loss 1.5622 (1.8184)	Prec@1 62.500 (52.284)	Prec@5 85.938 (81.783)
Epoch: [75][8120/14090]	Time 0.795 (0.761)	Data 0.001 (0.001)	Loss 1.3640 (1.8184)	Prec@1 57.031 (52.284)	Prec@5 89.062 (81.784)
Epoch: [75][8130/14090]	Time 0.759 (0.761)	Data 0.001 (0.001)	Loss 1.6830 (1.8184)	Prec@1 61.719 (52.285)	Prec@5 86.719 (81.784)
Epoch: [75][8140/14090]	Time 0.726 (0.761)	Data 0.001 (0.001)	Loss 1.9908 (1.8184)	Prec@1 50.781 (52.284)	Prec@5 78.906 (81.784)
Epoch: [75][8150/14090]	Time 0.764 (0.761)	Data 0.001 (0.001)	Loss 1.9020 (1.8185)	Prec@1 51.562 (52.283)	Prec@5 82.812 (81.784)
Epoch: [75][8160/14090]	Time 0.775 (0.761)	Data 0.001 (0.001)	Loss 1.7001 (1.8186)	Prec@1 56.250 (52.282)	Prec@5 79.688 (81.781)
Epoch: [75][8170/14090]	Time 0.749 (0.761)	Data 0.001 (0.001)	Loss 1.8664 (1.8187)	Prec@1 49.219 (52.281)	Prec@5 81.250 (81.778)
Epoch: [75][8180/14090]	Time 0.731 (0.761)	Data 0.001 (0.001)	Loss 1.8767 (1.8188)	Prec@1 49.219 (52.278)	Prec@5 82.031 (81.778)
Epoch: [75][8190/14090]	Time 0.799 (0.761)	Data 0.001 (0.001)	Loss 1.6416 (1.8189)	Prec@1 59.375 (52.276)	Prec@5 86.719 (81.776)
Epoch: [75][8200/14090]	Time 0.738 (0.761)	Data 0.001 (0.001)	Loss 2.0275 (1.8189)	Prec@1 54.688 (52.277)	Prec@5 78.125 (81.775)
Epoch: [75][8210/14090]	Time 0.780 (0.761)	Data 0.001 (0.001)	Loss 1.6451 (1.8188)	Prec@1 56.250 (52.277)	Prec@5 85.156 (81.776)
Epoch: [75][8220/14090]	Time 0.783 (0.761)	Data 0.001 (0.001)	Loss 1.9475 (1.8189)	Prec@1 46.875 (52.276)	Prec@5 79.688 (81.775)
Epoch: [75][8230/14090]	Time 0.755 (0.761)	Data 0.001 (0.001)	Loss 1.7576 (1.8189)	Prec@1 54.688 (52.275)	Prec@5 82.031 (81.774)
Epoch: [75][8240/14090]	Time 0.760 (0.761)	Data 0.001 (0.001)	Loss 1.9974 (1.8188)	Prec@1 49.219 (52.277)	Prec@5 76.562 (81.775)
Epoch: [75][8250/14090]	Time 0.757 (0.761)	Data 0.001 (0.001)	Loss 1.9849 (1.8190)	Prec@1 50.000 (52.274)	Prec@5 77.344 (81.773)
Epoch: [75][8260/14090]	Time 0.789 (0.761)	Data 0.001 (0.001)	Loss 1.9020 (1.8190)	Prec@1 46.094 (52.276)	Prec@5 82.031 (81.773)
Epoch: [75][8270/14090]	Time 0.736 (0.761)	Data 0.001 (0.001)	Loss 1.8325 (1.8189)	Prec@1 51.562 (52.278)	Prec@5 81.250 (81.773)
Epoch: [75][8280/14090]	Time 0.782 (0.761)	Data 0.001 (0.001)	Loss 1.7158 (1.8188)	Prec@1 48.438 (52.279)	Prec@5 83.594 (81.775)
Epoch: [75][8290/14090]	Time 0.736 (0.761)	Data 0.001 (0.001)	Loss 1.8759 (1.8188)	Prec@1 50.000 (52.279)	Prec@5 81.250 (81.775)
Epoch: [75][8300/14090]	Time 0.745 (0.761)	Data 0.001 (0.001)	Loss 1.7224 (1.8189)	Prec@1 51.562 (52.276)	Prec@5 86.719 (81.773)
Epoch: [75][8310/14090]	Time 0.758 (0.761)	Data 0.001 (0.001)	Loss 2.1259 (1.8189)	Prec@1 46.875 (52.276)	Prec@5 78.906 (81.773)
Epoch: [75][8320/14090]	Time 0.729 (0.761)	Data 0.001 (0.001)	Loss 1.8644 (1.8190)	Prec@1 55.469 (52.275)	Prec@5 80.469 (81.771)
Epoch: [75][8330/14090]	Time 0.811 (0.761)	Data 0.001 (0.001)	Loss 1.4809 (1.8188)	Prec@1 59.375 (52.276)	Prec@5 85.938 (81.774)
Epoch: [75][8340/14090]	Time 0.760 (0.761)	Data 0.001 (0.001)	Loss 1.9283 (1.8189)	Prec@1 53.125 (52.276)	Prec@5 76.562 (81.771)
Epoch: [75][8350/14090]	Time 0.756 (0.761)	Data 0.001 (0.001)	Loss 1.6484 (1.8189)	Prec@1 60.156 (52.277)	Prec@5 84.375 (81.771)
Epoch: [75][8360/14090]	Time 0.746 (0.761)	Data 0.001 (0.001)	Loss 1.8447 (1.8190)	Prec@1 50.000 (52.275)	Prec@5 85.938 (81.770)
Epoch: [75][8370/14090]	Time 0.777 (0.761)	Data 0.001 (0.001)	Loss 1.9239 (1.8191)	Prec@1 48.438 (52.272)	Prec@5 82.031 (81.768)
Epoch: [75][8380/14090]	Time 0.760 (0.761)	Data 0.001 (0.001)	Loss 1.7006 (1.8191)	Prec@1 53.906 (52.273)	Prec@5 82.031 (81.767)
Epoch: [75][8390/14090]	Time 0.728 (0.761)	Data 0.001 (0.001)	Loss 1.8830 (1.8191)	Prec@1 53.125 (52.274)	Prec@5 80.469 (81.767)
Epoch: [75][8400/14090]	Time 0.813 (0.761)	Data 0.001 (0.001)	Loss 1.8467 (1.8191)	Prec@1 57.812 (52.276)	Prec@5 78.125 (81.767)
Epoch: [75][8410/14090]	Time 0.750 (0.761)	Data 0.001 (0.001)	Loss 2.1048 (1.8192)	Prec@1 46.875 (52.275)	Prec@5 74.219 (81.765)
Epoch: [75][8420/14090]	Time 0.736 (0.761)	Data 0.001 (0.001)	Loss 1.7396 (1.8193)	Prec@1 53.906 (52.274)	Prec@5 80.469 (81.764)
Epoch: [75][8430/14090]	Time 0.768 (0.761)	Data 0.001 (0.001)	Loss 1.9776 (1.8194)	Prec@1 42.969 (52.274)	Prec@5 80.469 (81.763)
Epoch: [75][8440/14090]	Time 0.762 (0.761)	Data 0.001 (0.001)	Loss 1.7554 (1.8194)	Prec@1 51.562 (52.276)	Prec@5 85.938 (81.763)
Epoch: [75][8450/14090]	Time 0.734 (0.761)	Data 0.001 (0.001)	Loss 1.8431 (1.8193)	Prec@1 49.219 (52.275)	Prec@5 79.688 (81.765)
Epoch: [75][8460/14090]	Time 0.767 (0.761)	Data 0.001 (0.001)	Loss 1.9563 (1.8194)	Prec@1 41.406 (52.274)	Prec@5 82.031 (81.765)
Epoch: [75][8470/14090]	Time 0.852 (0.761)	Data 0.001 (0.001)	Loss 1.7615 (1.8193)	Prec@1 57.031 (52.275)	Prec@5 81.250 (81.767)
Epoch: [75][8480/14090]	Time 0.757 (0.761)	Data 0.001 (0.001)	Loss 1.9642 (1.8194)	Prec@1 48.438 (52.271)	Prec@5 78.906 (81.765)
Epoch: [75][8490/14090]	Time 0.720 (0.761)	Data 0.001 (0.001)	Loss 1.7805 (1.8194)	Prec@1 51.562 (52.272)	Prec@5 82.812 (81.765)
Epoch: [75][8500/14090]	Time 0.776 (0.761)	Data 0.001 (0.001)	Loss 1.7915 (1.8194)	Prec@1 53.906 (52.273)	Prec@5 85.156 (81.765)
Epoch: [75][8510/14090]	Time 0.784 (0.761)	Data 0.001 (0.001)	Loss 1.9536 (1.8194)	Prec@1 46.875 (52.272)	Prec@5 79.688 (81.763)
Epoch: [75][8520/14090]	Time 0.750 (0.761)	Data 0.001 (0.001)	Loss 1.8323 (1.8194)	Prec@1 51.562 (52.275)	Prec@5 85.156 (81.764)
Epoch: [75][8530/14090]	Time 0.743 (0.761)	Data 0.001 (0.001)	Loss 1.7069 (1.8194)	Prec@1 55.469 (52.274)	Prec@5 81.250 (81.764)
Epoch: [75][8540/14090]	Time 0.794 (0.761)	Data 0.001 (0.001)	Loss 1.6950 (1.8194)	Prec@1 50.000 (52.275)	Prec@5 88.281 (81.765)
Epoch: [75][8550/14090]	Time 0.758 (0.761)	Data 0.001 (0.001)	Loss 1.7434 (1.8193)	Prec@1 55.469 (52.278)	Prec@5 80.469 (81.766)
Epoch: [75][8560/14090]	Time 0.764 (0.761)	Data 0.001 (0.001)	Loss 1.9006 (1.8193)	Prec@1 50.000 (52.280)	Prec@5 82.031 (81.766)
Epoch: [75][8570/14090]	Time 0.746 (0.761)	Data 0.001 (0.001)	Loss 1.7044 (1.8192)	Prec@1 51.562 (52.280)	Prec@5 86.719 (81.768)
Epoch: [75][8580/14090]	Time 0.775 (0.761)	Data 0.001 (0.001)	Loss 1.7720 (1.8193)	Prec@1 57.812 (52.280)	Prec@5 82.812 (81.768)
Epoch: [75][8590/14090]	Time 0.779 (0.761)	Data 0.001 (0.001)	Loss 1.8676 (1.8194)	Prec@1 45.312 (52.278)	Prec@5 82.812 (81.765)
Epoch: [75][8600/14090]	Time 0.771 (0.761)	Data 0.001 (0.001)	Loss 1.7107 (1.8193)	Prec@1 49.219 (52.277)	Prec@5 86.719 (81.767)
Epoch: [75][8610/14090]	Time 0.771 (0.761)	Data 0.001 (0.001)	Loss 1.7622 (1.8193)	Prec@1 55.469 (52.276)	Prec@5 80.469 (81.766)
Epoch: [75][8620/14090]	Time 0.750 (0.761)	Data 0.001 (0.001)	Loss 1.7118 (1.8194)	Prec@1 50.000 (52.274)	Prec@5 81.250 (81.766)
Epoch: [75][8630/14090]	Time 0.764 (0.761)	Data 0.001 (0.001)	Loss 1.8933 (1.8194)	Prec@1 48.438 (52.277)	Prec@5 82.812 (81.766)
Epoch: [75][8640/14090]	Time 0.754 (0.761)	Data 0.001 (0.001)	Loss 1.6552 (1.8193)	Prec@1 57.031 (52.276)	Prec@5 82.812 (81.767)
Epoch: [75][8650/14090]	Time 0.776 (0.761)	Data 0.001 (0.001)	Loss 1.7979 (1.8192)	Prec@1 53.906 (52.281)	Prec@5 89.844 (81.772)
Epoch: [75][8660/14090]	Time 0.762 (0.761)	Data 0.001 (0.001)	Loss 1.8968 (1.8193)	Prec@1 50.781 (52.279)	Prec@5 79.688 (81.770)
Epoch: [75][8670/14090]	Time 0.730 (0.761)	Data 0.001 (0.001)	Loss 1.7415 (1.8192)	Prec@1 57.812 (52.280)	Prec@5 82.031 (81.771)
Epoch: [75][8680/14090]	Time 0.824 (0.761)	Data 0.001 (0.001)	Loss 1.6535 (1.8193)	Prec@1 53.125 (52.278)	Prec@5 85.938 (81.773)
Epoch: [75][8690/14090]	Time 0.774 (0.761)	Data 0.001 (0.001)	Loss 1.7557 (1.8193)	Prec@1 54.688 (52.278)	Prec@5 82.812 (81.773)
Epoch: [75][8700/14090]	Time 0.744 (0.761)	Data 0.001 (0.001)	Loss 1.8859 (1.8193)	Prec@1 47.656 (52.278)	Prec@5 78.906 (81.771)
Epoch: [75][8710/14090]	Time 0.755 (0.761)	Data 0.001 (0.001)	Loss 1.9529 (1.8194)	Prec@1 50.000 (52.278)	Prec@5 78.906 (81.770)
Epoch: [75][8720/14090]	Time 0.734 (0.761)	Data 0.001 (0.001)	Loss 1.5998 (1.8194)	Prec@1 61.719 (52.279)	Prec@5 85.156 (81.768)
Epoch: [75][8730/14090]	Time 0.731 (0.761)	Data 0.001 (0.001)	Loss 1.7789 (1.8194)	Prec@1 52.344 (52.278)	Prec@5 79.688 (81.767)
Epoch: [75][8740/14090]	Time 0.754 (0.761)	Data 0.001 (0.001)	Loss 1.9381 (1.8193)	Prec@1 50.781 (52.281)	Prec@5 77.344 (81.770)
Epoch: [75][8750/14090]	Time 0.795 (0.761)	Data 0.001 (0.001)	Loss 1.8066 (1.8193)	Prec@1 50.781 (52.281)	Prec@5 82.031 (81.770)
Epoch: [75][8760/14090]	Time 0.772 (0.761)	Data 0.001 (0.001)	Loss 1.9874 (1.8193)	Prec@1 49.219 (52.280)	Prec@5 79.688 (81.770)
Epoch: [75][8770/14090]	Time 0.750 (0.761)	Data 0.001 (0.001)	Loss 1.4031 (1.8193)	Prec@1 64.062 (52.282)	Prec@5 86.719 (81.770)
Epoch: [75][8780/14090]	Time 0.782 (0.761)	Data 0.001 (0.001)	Loss 1.6184 (1.8192)	Prec@1 59.375 (52.282)	Prec@5 83.594 (81.769)
Epoch: [75][8790/14090]	Time 0.730 (0.761)	Data 0.001 (0.001)	Loss 2.0737 (1.8193)	Prec@1 45.312 (52.283)	Prec@5 76.562 (81.769)
Epoch: [75][8800/14090]	Time 0.757 (0.761)	Data 0.001 (0.001)	Loss 1.6108 (1.8192)	Prec@1 56.250 (52.287)	Prec@5 82.812 (81.770)
Epoch: [75][8810/14090]	Time 0.736 (0.761)	Data 0.001 (0.001)	Loss 1.9955 (1.8192)	Prec@1 47.656 (52.288)	Prec@5 81.250 (81.771)
Epoch: [75][8820/14090]	Time 0.788 (0.761)	Data 0.001 (0.001)	Loss 1.7771 (1.8193)	Prec@1 44.531 (52.285)	Prec@5 81.250 (81.770)
Epoch: [75][8830/14090]	Time 0.767 (0.761)	Data 0.001 (0.001)	Loss 1.6522 (1.8193)	Prec@1 57.812 (52.283)	Prec@5 82.031 (81.770)
Epoch: [75][8840/14090]	Time 0.742 (0.761)	Data 0.001 (0.001)	Loss 1.6219 (1.8194)	Prec@1 54.688 (52.283)	Prec@5 83.594 (81.768)
Epoch: [75][8850/14090]	Time 0.758 (0.761)	Data 0.001 (0.001)	Loss 1.8278 (1.8194)	Prec@1 50.781 (52.282)	Prec@5 79.688 (81.768)
Epoch: [75][8860/14090]	Time 0.783 (0.761)	Data 0.001 (0.001)	Loss 1.8598 (1.8195)	Prec@1 53.125 (52.281)	Prec@5 81.250 (81.766)
Epoch: [75][8870/14090]	Time 0.756 (0.761)	Data 0.001 (0.001)	Loss 1.8642 (1.8195)	Prec@1 52.344 (52.281)	Prec@5 78.906 (81.766)
Epoch: [75][8880/14090]	Time 0.740 (0.761)	Data 0.001 (0.001)	Loss 1.9683 (1.8195)	Prec@1 53.125 (52.280)	Prec@5 78.906 (81.766)
Epoch: [75][8890/14090]	Time 0.798 (0.761)	Data 0.001 (0.001)	Loss 1.9074 (1.8195)	Prec@1 47.656 (52.280)	Prec@5 80.469 (81.766)
Epoch: [75][8900/14090]	Time 0.733 (0.761)	Data 0.001 (0.001)	Loss 1.8450 (1.8195)	Prec@1 57.812 (52.281)	Prec@5 83.594 (81.767)
Epoch: [75][8910/14090]	Time 0.740 (0.761)	Data 0.001 (0.001)	Loss 1.8386 (1.8195)	Prec@1 50.781 (52.282)	Prec@5 82.031 (81.766)
Epoch: [75][8920/14090]	Time 0.749 (0.761)	Data 0.001 (0.001)	Loss 1.6019 (1.8195)	Prec@1 55.469 (52.283)	Prec@5 85.938 (81.766)
Epoch: [75][8930/14090]	Time 0.795 (0.761)	Data 0.001 (0.001)	Loss 1.8559 (1.8196)	Prec@1 52.344 (52.282)	Prec@5 79.688 (81.765)
Epoch: [75][8940/14090]	Time 0.731 (0.761)	Data 0.001 (0.001)	Loss 1.9109 (1.8196)	Prec@1 50.781 (52.281)	Prec@5 81.250 (81.766)
Epoch: [75][8950/14090]	Time 0.749 (0.761)	Data 0.001 (0.001)	Loss 1.8186 (1.8195)	Prec@1 52.344 (52.283)	Prec@5 81.250 (81.767)
Epoch: [75][8960/14090]	Time 0.829 (0.761)	Data 0.001 (0.001)	Loss 1.9274 (1.8196)	Prec@1 47.656 (52.283)	Prec@5 82.812 (81.766)
Epoch: [75][8970/14090]	Time 0.744 (0.761)	Data 0.001 (0.001)	Loss 1.6891 (1.8195)	Prec@1 50.781 (52.283)	Prec@5 83.594 (81.767)
Epoch: [75][8980/14090]	Time 0.733 (0.761)	Data 0.001 (0.001)	Loss 1.9462 (1.8196)	Prec@1 47.656 (52.281)	Prec@5 78.906 (81.767)
Epoch: [75][8990/14090]	Time 0.756 (0.761)	Data 0.001 (0.001)	Loss 1.7217 (1.8196)	Prec@1 57.812 (52.282)	Prec@5 88.281 (81.766)
Epoch: [75][9000/14090]	Time 0.768 (0.761)	Data 0.001 (0.001)	Loss 2.2216 (1.8197)	Prec@1 42.969 (52.281)	Prec@5 73.438 (81.766)
Epoch: [75][9010/14090]	Time 0.723 (0.761)	Data 0.001 (0.001)	Loss 1.8308 (1.8197)	Prec@1 49.219 (52.280)	Prec@5 82.812 (81.764)
Epoch: [75][9020/14090]	Time 0.762 (0.761)	Data 0.001 (0.001)	Loss 1.9377 (1.8198)	Prec@1 50.000 (52.278)	Prec@5 78.125 (81.763)
Epoch: [75][9030/14090]	Time 0.838 (0.761)	Data 0.001 (0.001)	Loss 2.0729 (1.8199)	Prec@1 46.094 (52.277)	Prec@5 78.125 (81.762)
Epoch: [75][9040/14090]	Time 0.735 (0.761)	Data 0.001 (0.001)	Loss 1.9109 (1.8199)	Prec@1 53.906 (52.279)	Prec@5 85.938 (81.763)
Epoch: [75][9050/14090]	Time 0.744 (0.761)	Data 0.001 (0.001)	Loss 1.9789 (1.8199)	Prec@1 42.188 (52.277)	Prec@5 79.688 (81.763)
Epoch: [75][9060/14090]	Time 0.751 (0.761)	Data 0.001 (0.001)	Loss 1.9035 (1.8200)	Prec@1 44.531 (52.274)	Prec@5 80.469 (81.762)
Epoch: [75][9070/14090]	Time 0.731 (0.761)	Data 0.001 (0.001)	Loss 2.0528 (1.8200)	Prec@1 51.562 (52.274)	Prec@5 72.656 (81.760)
Epoch: [75][9080/14090]	Time 0.741 (0.761)	Data 0.001 (0.001)	Loss 1.7053 (1.8201)	Prec@1 51.562 (52.275)	Prec@5 85.938 (81.759)
Epoch: [75][9090/14090]	Time 0.725 (0.761)	Data 0.001 (0.001)	Loss 1.6942 (1.8201)	Prec@1 51.562 (52.273)	Prec@5 85.938 (81.760)
Epoch: [75][9100/14090]	Time 0.803 (0.761)	Data 0.001 (0.001)	Loss 1.7527 (1.8201)	Prec@1 51.562 (52.272)	Prec@5 85.156 (81.759)
Epoch: [75][9110/14090]	Time 0.767 (0.761)	Data 0.001 (0.001)	Loss 1.5861 (1.8201)	Prec@1 56.250 (52.273)	Prec@5 85.938 (81.760)
Epoch: [75][9120/14090]	Time 0.763 (0.761)	Data 0.001 (0.001)	Loss 1.9096 (1.8201)	Prec@1 51.562 (52.273)	Prec@5 84.375 (81.761)
Epoch: [75][9130/14090]	Time 0.742 (0.761)	Data 0.001 (0.001)	Loss 1.8650 (1.8202)	Prec@1 46.094 (52.270)	Prec@5 79.688 (81.761)
Epoch: [75][9140/14090]	Time 0.740 (0.761)	Data 0.001 (0.001)	Loss 1.7669 (1.8202)	Prec@1 54.688 (52.270)	Prec@5 79.688 (81.763)
Epoch: [75][9150/14090]	Time 0.760 (0.761)	Data 0.001 (0.001)	Loss 1.8054 (1.8201)	Prec@1 47.656 (52.270)	Prec@5 81.250 (81.763)
Epoch: [75][9160/14090]	Time 0.762 (0.761)	Data 0.001 (0.001)	Loss 1.7929 (1.8202)	Prec@1 53.125 (52.270)	Prec@5 78.906 (81.762)
Epoch: [75][9170/14090]	Time 0.863 (0.761)	Data 0.001 (0.001)	Loss 1.8087 (1.8202)	Prec@1 51.562 (52.271)	Prec@5 88.281 (81.762)
Epoch: [75][9180/14090]	Time 0.750 (0.761)	Data 0.001 (0.001)	Loss 1.7673 (1.8201)	Prec@1 54.688 (52.272)	Prec@5 88.281 (81.764)
Epoch: [75][9190/14090]	Time 0.737 (0.761)	Data 0.001 (0.001)	Loss 1.9396 (1.8201)	Prec@1 48.438 (52.271)	Prec@5 77.344 (81.763)
Epoch: [75][9200/14090]	Time 0.761 (0.761)	Data 0.001 (0.001)	Loss 1.7048 (1.8201)	Prec@1 51.562 (52.270)	Prec@5 85.938 (81.763)
Epoch: [75][9210/14090]	Time 0.749 (0.761)	Data 0.001 (0.001)	Loss 2.0002 (1.8201)	Prec@1 49.219 (52.269)	Prec@5 82.031 (81.762)
Epoch: [75][9220/14090]	Time 0.761 (0.761)	Data 0.001 (0.001)	Loss 1.7765 (1.8202)	Prec@1 51.562 (52.268)	Prec@5 81.250 (81.761)
Epoch: [75][9230/14090]	Time 0.735 (0.761)	Data 0.001 (0.001)	Loss 1.9401 (1.8201)	Prec@1 51.562 (52.268)	Prec@5 81.250 (81.761)
Epoch: [75][9240/14090]	Time 0.791 (0.761)	Data 0.001 (0.001)	Loss 2.0517 (1.8201)	Prec@1 41.406 (52.266)	Prec@5 78.906 (81.762)
Epoch: [75][9250/14090]	Time 0.752 (0.761)	Data 0.001 (0.001)	Loss 2.0338 (1.8202)	Prec@1 46.875 (52.266)	Prec@5 78.906 (81.763)
Epoch: [75][9260/14090]	Time 0.770 (0.761)	Data 0.001 (0.001)	Loss 1.4559 (1.8201)	Prec@1 63.281 (52.268)	Prec@5 88.281 (81.764)
Epoch: [75][9270/14090]	Time 0.748 (0.761)	Data 0.001 (0.001)	Loss 1.8808 (1.8201)	Prec@1 46.875 (52.266)	Prec@5 78.125 (81.762)
Epoch: [75][9280/14090]	Time 0.758 (0.761)	Data 0.001 (0.001)	Loss 1.8383 (1.8201)	Prec@1 49.219 (52.265)	Prec@5 79.688 (81.763)
Epoch: [75][9290/14090]	Time 0.758 (0.761)	Data 0.001 (0.001)	Loss 1.7658 (1.8201)	Prec@1 51.562 (52.265)	Prec@5 83.594 (81.764)
Epoch: [75][9300/14090]	Time 0.750 (0.761)	Data 0.001 (0.001)	Loss 1.6107 (1.8200)	Prec@1 60.938 (52.266)	Prec@5 81.250 (81.764)
Epoch: [75][9310/14090]	Time 0.855 (0.761)	Data 0.001 (0.001)	Loss 1.6205 (1.8200)	Prec@1 60.156 (52.267)	Prec@5 82.031 (81.764)
Epoch: [75][9320/14090]	Time 0.729 (0.761)	Data 0.001 (0.001)	Loss 1.8274 (1.8201)	Prec@1 57.812 (52.267)	Prec@5 81.250 (81.763)
Epoch: [75][9330/14090]	Time 0.765 (0.761)	Data 0.001 (0.001)	Loss 1.5277 (1.8200)	Prec@1 60.938 (52.268)	Prec@5 89.844 (81.765)
Epoch: [75][9340/14090]	Time 0.772 (0.761)	Data 0.001 (0.001)	Loss 1.7629 (1.8200)	Prec@1 51.562 (52.267)	Prec@5 82.812 (81.766)
Epoch: [75][9350/14090]	Time 0.761 (0.761)	Data 0.001 (0.001)	Loss 2.0567 (1.8200)	Prec@1 40.625 (52.269)	Prec@5 81.250 (81.767)
Epoch: [75][9360/14090]	Time 0.756 (0.761)	Data 0.001 (0.001)	Loss 1.6864 (1.8199)	Prec@1 50.781 (52.269)	Prec@5 82.812 (81.768)
Epoch: [75][9370/14090]	Time 0.721 (0.761)	Data 0.001 (0.001)	Loss 1.6408 (1.8199)	Prec@1 58.594 (52.271)	Prec@5 85.156 (81.767)
Epoch: [75][9380/14090]	Time 0.934 (0.761)	Data 0.001 (0.001)	Loss 1.8026 (1.8199)	Prec@1 54.688 (52.273)	Prec@5 84.375 (81.767)
Epoch: [75][9390/14090]	Time 0.775 (0.761)	Data 0.001 (0.001)	Loss 1.9019 (1.8199)	Prec@1 52.344 (52.271)	Prec@5 80.469 (81.766)
Epoch: [75][9400/14090]	Time 0.772 (0.761)	Data 0.001 (0.001)	Loss 1.8022 (1.8200)	Prec@1 57.812 (52.271)	Prec@5 81.250 (81.766)
Epoch: [75][9410/14090]	Time 0.761 (0.761)	Data 0.001 (0.001)	Loss 2.0120 (1.8201)	Prec@1 44.531 (52.268)	Prec@5 78.125 (81.763)
Epoch: [75][9420/14090]	Time 0.729 (0.761)	Data 0.001 (0.001)	Loss 1.7355 (1.8201)	Prec@1 53.125 (52.268)	Prec@5 79.688 (81.762)
Epoch: [75][9430/14090]	Time 0.756 (0.761)	Data 0.001 (0.001)	Loss 1.8674 (1.8201)	Prec@1 52.344 (52.265)	Prec@5 82.031 (81.763)
Epoch: [75][9440/14090]	Time 0.733 (0.761)	Data 0.001 (0.001)	Loss 1.8669 (1.8201)	Prec@1 51.562 (52.267)	Prec@5 80.469 (81.763)
Epoch: [75][9450/14090]	Time 0.911 (0.761)	Data 0.001 (0.001)	Loss 1.8157 (1.8201)	Prec@1 49.219 (52.265)	Prec@5 82.812 (81.764)
Epoch: [75][9460/14090]	Time 0.777 (0.761)	Data 0.001 (0.001)	Loss 1.7764 (1.8200)	Prec@1 55.469 (52.265)	Prec@5 82.812 (81.764)
Epoch: [75][9470/14090]	Time 0.735 (0.761)	Data 0.001 (0.001)	Loss 1.9085 (1.8201)	Prec@1 52.344 (52.266)	Prec@5 76.562 (81.762)
Epoch: [75][9480/14090]	Time 0.754 (0.761)	Data 0.001 (0.001)	Loss 1.9636 (1.8201)	Prec@1 49.219 (52.265)	Prec@5 78.906 (81.761)
Epoch: [75][9490/14090]	Time 0.760 (0.761)	Data 0.001 (0.001)	Loss 1.9127 (1.8200)	Prec@1 49.219 (52.267)	Prec@5 77.344 (81.762)
Epoch: [75][9500/14090]	Time 0.727 (0.761)	Data 0.001 (0.001)	Loss 1.8745 (1.8200)	Prec@1 53.125 (52.268)	Prec@5 78.125 (81.761)
Epoch: [75][9510/14090]	Time 0.779 (0.761)	Data 0.001 (0.001)	Loss 1.7407 (1.8200)	Prec@1 56.250 (52.267)	Prec@5 82.031 (81.762)
Epoch: [75][9520/14090]	Time 0.907 (0.761)	Data 0.001 (0.001)	Loss 1.8859 (1.8200)	Prec@1 55.469 (52.268)	Prec@5 80.469 (81.763)
Epoch: [75][9530/14090]	Time 0.738 (0.761)	Data 0.001 (0.001)	Loss 1.8053 (1.8200)	Prec@1 53.906 (52.268)	Prec@5 84.375 (81.762)
Epoch: [75][9540/14090]	Time 0.726 (0.761)	Data 0.001 (0.001)	Loss 1.8192 (1.8200)	Prec@1 48.438 (52.266)	Prec@5 82.031 (81.762)
Epoch: [75][9550/14090]	Time 0.768 (0.761)	Data 0.001 (0.001)	Loss 1.6976 (1.8201)	Prec@1 56.250 (52.267)	Prec@5 82.031 (81.760)
Epoch: [75][9560/14090]	Time 0.731 (0.761)	Data 0.001 (0.001)	Loss 1.8102 (1.8201)	Prec@1 48.438 (52.266)	Prec@5 81.250 (81.760)
Epoch: [75][9570/14090]	Time 0.723 (0.761)	Data 0.001 (0.001)	Loss 2.0342 (1.8202)	Prec@1 54.688 (52.265)	Prec@5 78.906 (81.759)
Epoch: [75][9580/14090]	Time 0.780 (0.761)	Data 0.001 (0.001)	Loss 1.4599 (1.8203)	Prec@1 57.031 (52.261)	Prec@5 89.062 (81.759)
Epoch: [75][9590/14090]	Time 0.823 (0.761)	Data 0.001 (0.001)	Loss 1.6223 (1.8203)	Prec@1 59.375 (52.260)	Prec@5 86.719 (81.760)
Epoch: [75][9600/14090]	Time 0.740 (0.761)	Data 0.001 (0.001)	Loss 1.6764 (1.8203)	Prec@1 56.250 (52.261)	Prec@5 83.594 (81.760)
Epoch: [75][9610/14090]	Time 0.739 (0.761)	Data 0.001 (0.001)	Loss 1.6270 (1.8203)	Prec@1 57.812 (52.261)	Prec@5 84.375 (81.761)
Epoch: [75][9620/14090]	Time 0.731 (0.761)	Data 0.001 (0.001)	Loss 1.9924 (1.8204)	Prec@1 53.906 (52.261)	Prec@5 79.688 (81.759)
Epoch: [75][9630/14090]	Time 0.753 (0.761)	Data 0.001 (0.001)	Loss 1.9338 (1.8203)	Prec@1 52.344 (52.264)	Prec@5 78.125 (81.760)
Epoch: [75][9640/14090]	Time 0.729 (0.761)	Data 0.001 (0.001)	Loss 1.5880 (1.8204)	Prec@1 54.688 (52.263)	Prec@5 85.156 (81.760)
Epoch: [75][9650/14090]	Time 0.751 (0.761)	Data 0.001 (0.001)	Loss 1.9002 (1.8204)	Prec@1 50.000 (52.261)	Prec@5 78.906 (81.759)
Epoch: [75][9660/14090]	Time 0.786 (0.761)	Data 0.001 (0.001)	Loss 1.9196 (1.8204)	Prec@1 53.125 (52.263)	Prec@5 75.000 (81.758)
Epoch: [75][9670/14090]	Time 0.775 (0.761)	Data 0.001 (0.001)	Loss 1.7186 (1.8203)	Prec@1 53.125 (52.265)	Prec@5 80.469 (81.757)
Epoch: [75][9680/14090]	Time 0.758 (0.761)	Data 0.001 (0.001)	Loss 1.6662 (1.8202)	Prec@1 58.594 (52.267)	Prec@5 86.719 (81.758)
Epoch: [75][9690/14090]	Time 0.739 (0.761)	Data 0.001 (0.001)	Loss 1.8314 (1.8203)	Prec@1 53.125 (52.268)	Prec@5 85.156 (81.759)
Epoch: [75][9700/14090]	Time 0.725 (0.761)	Data 0.001 (0.001)	Loss 1.7028 (1.8203)	Prec@1 54.688 (52.267)	Prec@5 83.594 (81.759)
Epoch: [75][9710/14090]	Time 0.727 (0.761)	Data 0.001 (0.001)	Loss 2.0076 (1.8202)	Prec@1 50.000 (52.269)	Prec@5 76.562 (81.759)
Epoch: [75][9720/14090]	Time 0.779 (0.761)	Data 0.001 (0.001)	Loss 1.9887 (1.8203)	Prec@1 49.219 (52.269)	Prec@5 78.125 (81.757)
Epoch: [75][9730/14090]	Time 0.788 (0.761)	Data 0.001 (0.001)	Loss 1.6368 (1.8203)	Prec@1 60.156 (52.268)	Prec@5 84.375 (81.756)
Epoch: [75][9740/14090]	Time 0.775 (0.761)	Data 0.001 (0.001)	Loss 2.0920 (1.8204)	Prec@1 46.875 (52.267)	Prec@5 73.438 (81.755)
Epoch: [75][9750/14090]	Time 0.735 (0.761)	Data 0.001 (0.001)	Loss 1.7131 (1.8203)	Prec@1 53.906 (52.269)	Prec@5 85.938 (81.757)
Epoch: [75][9760/14090]	Time 0.735 (0.761)	Data 0.001 (0.001)	Loss 1.8938 (1.8202)	Prec@1 48.438 (52.270)	Prec@5 79.688 (81.758)
Epoch: [75][9770/14090]	Time 0.735 (0.761)	Data 0.001 (0.001)	Loss 1.7665 (1.8203)	Prec@1 55.469 (52.268)	Prec@5 78.906 (81.756)
Epoch: [75][9780/14090]	Time 0.762 (0.761)	Data 0.001 (0.001)	Loss 1.8629 (1.8204)	Prec@1 55.469 (52.269)	Prec@5 82.812 (81.756)
Epoch: [75][9790/14090]	Time 0.757 (0.761)	Data 0.001 (0.001)	Loss 1.8762 (1.8203)	Prec@1 53.125 (52.268)	Prec@5 79.688 (81.757)
Epoch: [75][9800/14090]	Time 0.802 (0.761)	Data 0.001 (0.001)	Loss 1.7487 (1.8203)	Prec@1 57.031 (52.269)	Prec@5 83.594 (81.758)
Epoch: [75][9810/14090]	Time 0.767 (0.761)	Data 0.001 (0.001)	Loss 1.8924 (1.8204)	Prec@1 46.094 (52.267)	Prec@5 82.812 (81.756)
Epoch: [75][9820/14090]	Time 0.757 (0.761)	Data 0.001 (0.001)	Loss 1.7048 (1.8204)	Prec@1 53.125 (52.265)	Prec@5 82.031 (81.756)
Epoch: [75][9830/14090]	Time 0.780 (0.761)	Data 0.001 (0.001)	Loss 1.7576 (1.8204)	Prec@1 55.469 (52.266)	Prec@5 80.469 (81.755)
Epoch: [75][9840/14090]	Time 0.731 (0.761)	Data 0.001 (0.001)	Loss 1.7282 (1.8205)	Prec@1 60.938 (52.267)	Prec@5 81.250 (81.753)
Epoch: [75][9850/14090]	Time 0.758 (0.761)	Data 0.001 (0.001)	Loss 1.7178 (1.8205)	Prec@1 51.562 (52.265)	Prec@5 82.812 (81.752)
Epoch: [75][9860/14090]	Time 0.740 (0.761)	Data 0.001 (0.001)	Loss 1.7233 (1.8204)	Prec@1 50.000 (52.266)	Prec@5 85.938 (81.755)
Epoch: [75][9870/14090]	Time 0.874 (0.761)	Data 0.001 (0.001)	Loss 1.8388 (1.8204)	Prec@1 52.344 (52.267)	Prec@5 79.688 (81.755)
Epoch: [75][9880/14090]	Time 0.724 (0.761)	Data 0.001 (0.001)	Loss 1.9259 (1.8204)	Prec@1 48.438 (52.268)	Prec@5 79.688 (81.755)
Epoch: [75][9890/14090]	Time 0.735 (0.761)	Data 0.001 (0.001)	Loss 1.7500 (1.8203)	Prec@1 53.125 (52.270)	Prec@5 80.469 (81.756)
Epoch: [75][9900/14090]	Time 0.770 (0.761)	Data 0.001 (0.001)	Loss 1.5255 (1.8203)	Prec@1 56.250 (52.269)	Prec@5 89.844 (81.757)
Epoch: [75][9910/14090]	Time 0.753 (0.761)	Data 0.001 (0.001)	Loss 1.7186 (1.8202)	Prec@1 54.688 (52.271)	Prec@5 82.812 (81.758)
Epoch: [75][9920/14090]	Time 0.783 (0.761)	Data 0.001 (0.001)	Loss 2.0198 (1.8203)	Prec@1 47.656 (52.271)	Prec@5 78.125 (81.757)
Epoch: [75][9930/14090]	Time 0.726 (0.761)	Data 0.001 (0.001)	Loss 1.7841 (1.8202)	Prec@1 60.156 (52.272)	Prec@5 77.344 (81.755)
Epoch: [75][9940/14090]	Time 0.811 (0.761)	Data 0.001 (0.001)	Loss 1.9955 (1.8203)	Prec@1 48.438 (52.271)	Prec@5 78.125 (81.754)
Epoch: [75][9950/14090]	Time 0.735 (0.761)	Data 0.001 (0.001)	Loss 1.6164 (1.8203)	Prec@1 55.469 (52.269)	Prec@5 82.812 (81.755)
Epoch: [75][9960/14090]	Time 0.754 (0.761)	Data 0.001 (0.001)	Loss 1.9216 (1.8203)	Prec@1 45.312 (52.269)	Prec@5 81.250 (81.755)
Epoch: [75][9970/14090]	Time 0.736 (0.761)	Data 0.001 (0.001)	Loss 2.1253 (1.8204)	Prec@1 44.531 (52.268)	Prec@5 80.469 (81.752)
Epoch: [75][9980/14090]	Time 0.739 (0.761)	Data 0.001 (0.001)	Loss 1.9076 (1.8204)	Prec@1 56.250 (52.268)	Prec@5 79.688 (81.754)
Epoch: [75][9990/14090]	Time 0.763 (0.761)	Data 0.001 (0.001)	Loss 1.7840 (1.8203)	Prec@1 52.344 (52.268)	Prec@5 82.812 (81.754)
Epoch: [75][10000/14090]	Time 0.733 (0.761)	Data 0.001 (0.001)	Loss 1.8376 (1.8203)	Prec@1 50.000 (52.269)	Prec@5 83.594 (81.755)
Epoch: [75][10010/14090]	Time 0.829 (0.761)	Data 0.001 (0.001)	Loss 2.0414 (1.8203)	Prec@1 43.750 (52.266)	Prec@5 81.250 (81.755)
Epoch: [75][10020/14090]	Time 0.757 (0.761)	Data 0.001 (0.001)	Loss 1.8334 (1.8203)	Prec@1 48.438 (52.267)	Prec@5 83.594 (81.755)
Epoch: [75][10030/14090]	Time 0.780 (0.761)	Data 0.001 (0.001)	Loss 1.6838 (1.8203)	Prec@1 57.812 (52.266)	Prec@5 85.156 (81.755)
Epoch: [75][10040/14090]	Time 0.759 (0.761)	Data 0.001 (0.001)	Loss 1.8801 (1.8203)	Prec@1 50.781 (52.267)	Prec@5 83.594 (81.755)
Epoch: [75][10050/14090]	Time 0.743 (0.761)	Data 0.001 (0.001)	Loss 1.4467 (1.8203)	Prec@1 59.375 (52.265)	Prec@5 86.719 (81.755)
Epoch: [75][10060/14090]	Time 0.767 (0.761)	Data 0.001 (0.001)	Loss 1.8357 (1.8203)	Prec@1 53.906 (52.265)	Prec@5 82.031 (81.755)
Epoch: [75][10070/14090]	Time 0.781 (0.761)	Data 0.001 (0.001)	Loss 1.7801 (1.8203)	Prec@1 57.031 (52.267)	Prec@5 78.906 (81.756)
Epoch: [75][10080/14090]	Time 0.871 (0.761)	Data 0.001 (0.001)	Loss 1.8669 (1.8202)	Prec@1 56.250 (52.269)	Prec@5 80.469 (81.756)
Epoch: [75][10090/14090]	Time 0.728 (0.761)	Data 0.001 (0.001)	Loss 1.6706 (1.8202)	Prec@1 60.156 (52.269)	Prec@5 80.469 (81.755)
Epoch: [75][10100/14090]	Time 0.774 (0.761)	Data 0.001 (0.001)	Loss 1.6432 (1.8202)	Prec@1 55.469 (52.268)	Prec@5 85.938 (81.755)
Epoch: [75][10110/14090]	Time 0.727 (0.761)	Data 0.001 (0.001)	Loss 2.0896 (1.8203)	Prec@1 55.469 (52.268)	Prec@5 78.906 (81.756)
Epoch: [75][10120/14090]	Time 0.726 (0.761)	Data 0.001 (0.001)	Loss 2.1950 (1.8203)	Prec@1 42.188 (52.268)	Prec@5 75.000 (81.755)
Epoch: [75][10130/14090]	Time 0.731 (0.761)	Data 0.001 (0.001)	Loss 1.7462 (1.8203)	Prec@1 55.469 (52.268)	Prec@5 80.469 (81.754)
Epoch: [75][10140/14090]	Time 0.744 (0.761)	Data 0.001 (0.001)	Loss 1.9441 (1.8202)	Prec@1 53.125 (52.269)	Prec@5 79.688 (81.756)
Epoch: [75][10150/14090]	Time 0.917 (0.761)	Data 0.001 (0.001)	Loss 1.7898 (1.8202)	Prec@1 55.469 (52.270)	Prec@5 78.906 (81.756)
Epoch: [75][10160/14090]	Time 0.742 (0.761)	Data 0.001 (0.001)	Loss 1.8682 (1.8202)	Prec@1 53.906 (52.269)	Prec@5 78.125 (81.755)
Epoch: [75][10170/14090]	Time 0.734 (0.761)	Data 0.001 (0.001)	Loss 1.5542 (1.8202)	Prec@1 60.156 (52.270)	Prec@5 82.812 (81.753)
Epoch: [75][10180/14090]	Time 0.759 (0.761)	Data 0.001 (0.001)	Loss 1.8811 (1.8202)	Prec@1 46.094 (52.271)	Prec@5 79.688 (81.754)
Epoch: [75][10190/14090]	Time 0.751 (0.761)	Data 0.001 (0.001)	Loss 1.8747 (1.8202)	Prec@1 52.344 (52.270)	Prec@5 81.250 (81.753)
Epoch: [75][10200/14090]	Time 0.771 (0.761)	Data 0.001 (0.001)	Loss 2.0456 (1.8202)	Prec@1 44.531 (52.270)	Prec@5 80.469 (81.754)
Epoch: [75][10210/14090]	Time 0.776 (0.761)	Data 0.001 (0.001)	Loss 1.7674 (1.8201)	Prec@1 57.031 (52.272)	Prec@5 85.156 (81.756)
Epoch: [75][10220/14090]	Time 0.854 (0.761)	Data 0.001 (0.001)	Loss 1.9475 (1.8202)	Prec@1 46.875 (52.272)	Prec@5 79.688 (81.756)
Epoch: [75][10230/14090]	Time 0.770 (0.761)	Data 0.001 (0.001)	Loss 1.6473 (1.8202)	Prec@1 52.344 (52.271)	Prec@5 85.156 (81.756)
Epoch: [75][10240/14090]	Time 0.739 (0.761)	Data 0.001 (0.001)	Loss 1.9194 (1.8202)	Prec@1 47.656 (52.271)	Prec@5 81.250 (81.755)
Epoch: [75][10250/14090]	Time 0.800 (0.761)	Data 0.001 (0.001)	Loss 1.7652 (1.8202)	Prec@1 57.031 (52.273)	Prec@5 83.594 (81.756)
Epoch: [75][10260/14090]	Time 0.729 (0.761)	Data 0.001 (0.001)	Loss 1.8636 (1.8202)	Prec@1 50.781 (52.273)	Prec@5 80.469 (81.755)
Epoch: [75][10270/14090]	Time 0.771 (0.761)	Data 0.001 (0.001)	Loss 1.8433 (1.8202)	Prec@1 54.688 (52.273)	Prec@5 81.250 (81.755)
Epoch: [75][10280/14090]	Time 0.742 (0.761)	Data 0.001 (0.001)	Loss 1.7002 (1.8202)	Prec@1 52.344 (52.273)	Prec@5 83.594 (81.755)
Epoch: [75][10290/14090]	Time 0.833 (0.761)	Data 0.001 (0.001)	Loss 2.1062 (1.8202)	Prec@1 41.406 (52.274)	Prec@5 77.344 (81.755)
Epoch: [75][10300/14090]	Time 0.744 (0.761)	Data 0.001 (0.001)	Loss 1.7632 (1.8202)	Prec@1 53.906 (52.273)	Prec@5 79.688 (81.753)
Epoch: [75][10310/14090]	Time 0.787 (0.761)	Data 0.001 (0.001)	Loss 1.7702 (1.8202)	Prec@1 53.125 (52.274)	Prec@5 85.938 (81.754)
Epoch: [75][10320/14090]	Time 0.778 (0.761)	Data 0.001 (0.001)	Loss 1.7611 (1.8202)	Prec@1 52.344 (52.276)	Prec@5 84.375 (81.753)
Epoch: [75][10330/14090]	Time 0.736 (0.761)	Data 0.001 (0.001)	Loss 1.8657 (1.8201)	Prec@1 55.469 (52.277)	Prec@5 80.469 (81.753)
Epoch: [75][10340/14090]	Time 0.725 (0.761)	Data 0.001 (0.001)	Loss 2.0821 (1.8201)	Prec@1 48.438 (52.277)	Prec@5 76.562 (81.754)
Epoch: [75][10350/14090]	Time 0.747 (0.761)	Data 0.001 (0.001)	Loss 1.7309 (1.8201)	Prec@1 50.781 (52.278)	Prec@5 83.594 (81.753)
Epoch: [75][10360/14090]	Time 0.770 (0.761)	Data 0.001 (0.001)	Loss 1.9330 (1.8201)	Prec@1 53.125 (52.278)	Prec@5 81.250 (81.754)
Epoch: [75][10370/14090]	Time 0.770 (0.761)	Data 0.001 (0.001)	Loss 1.4882 (1.8200)	Prec@1 61.719 (52.280)	Prec@5 86.719 (81.755)
Epoch: [75][10380/14090]	Time 0.754 (0.761)	Data 0.001 (0.001)	Loss 1.8732 (1.8201)	Prec@1 50.781 (52.280)	Prec@5 78.906 (81.754)
Epoch: [75][10390/14090]	Time 0.726 (0.761)	Data 0.001 (0.001)	Loss 2.0701 (1.8200)	Prec@1 50.000 (52.281)	Prec@5 75.000 (81.754)
Epoch: [75][10400/14090]	Time 0.779 (0.761)	Data 0.001 (0.001)	Loss 1.8260 (1.8201)	Prec@1 51.562 (52.280)	Prec@5 78.906 (81.752)
Epoch: [75][10410/14090]	Time 0.744 (0.761)	Data 0.000 (0.001)	Loss 2.0675 (1.8202)	Prec@1 44.531 (52.279)	Prec@5 73.438 (81.749)
Epoch: [75][10420/14090]	Time 0.733 (0.761)	Data 0.001 (0.001)	Loss 1.8948 (1.8202)	Prec@1 45.312 (52.279)	Prec@5 79.688 (81.748)
Epoch: [75][10430/14090]	Time 0.802 (0.761)	Data 0.001 (0.001)	Loss 1.8856 (1.8202)	Prec@1 54.688 (52.280)	Prec@5 76.562 (81.747)
Epoch: [75][10440/14090]	Time 0.746 (0.761)	Data 0.001 (0.001)	Loss 1.8188 (1.8202)	Prec@1 50.781 (52.280)	Prec@5 82.812 (81.748)
Epoch: [75][10450/14090]	Time 0.781 (0.761)	Data 0.001 (0.001)	Loss 1.8235 (1.8202)	Prec@1 52.344 (52.281)	Prec@5 83.594 (81.747)
Epoch: [75][10460/14090]	Time 0.739 (0.761)	Data 0.001 (0.001)	Loss 1.6984 (1.8202)	Prec@1 57.031 (52.280)	Prec@5 82.812 (81.748)
Epoch: [75][10470/14090]	Time 0.729 (0.761)	Data 0.001 (0.001)	Loss 1.8038 (1.8202)	Prec@1 49.219 (52.280)	Prec@5 82.031 (81.747)
Epoch: [75][10480/14090]	Time 0.770 (0.761)	Data 0.001 (0.001)	Loss 1.7173 (1.8202)	Prec@1 57.812 (52.281)	Prec@5 80.469 (81.746)
Epoch: [75][10490/14090]	Time 0.738 (0.761)	Data 0.001 (0.001)	Loss 1.9482 (1.8203)	Prec@1 50.000 (52.279)	Prec@5 77.344 (81.744)
Epoch: [75][10500/14090]	Time 0.805 (0.761)	Data 0.001 (0.001)	Loss 1.9158 (1.8204)	Prec@1 52.344 (52.277)	Prec@5 77.344 (81.743)
Epoch: [75][10510/14090]	Time 0.754 (0.761)	Data 0.001 (0.001)	Loss 1.8329 (1.8203)	Prec@1 51.562 (52.278)	Prec@5 82.031 (81.746)
Epoch: [75][10520/14090]	Time 0.736 (0.761)	Data 0.001 (0.001)	Loss 2.0584 (1.8202)	Prec@1 47.656 (52.279)	Prec@5 78.125 (81.747)
Epoch: [75][10530/14090]	Time 0.753 (0.761)	Data 0.001 (0.001)	Loss 2.1445 (1.8203)	Prec@1 44.531 (52.278)	Prec@5 75.781 (81.744)
Epoch: [75][10540/14090]	Time 0.723 (0.761)	Data 0.001 (0.001)	Loss 1.8345 (1.8203)	Prec@1 50.000 (52.278)	Prec@5 82.812 (81.744)
Epoch: [75][10550/14090]	Time 0.753 (0.761)	Data 0.001 (0.001)	Loss 2.0371 (1.8203)	Prec@1 44.531 (52.278)	Prec@5 78.906 (81.744)
Epoch: [75][10560/14090]	Time 0.782 (0.761)	Data 0.001 (0.001)	Loss 1.6571 (1.8203)	Prec@1 57.031 (52.277)	Prec@5 87.500 (81.743)
Epoch: [75][10570/14090]	Time 0.835 (0.761)	Data 0.001 (0.001)	Loss 2.2719 (1.8204)	Prec@1 42.969 (52.276)	Prec@5 74.219 (81.740)
Epoch: [75][10580/14090]	Time 0.743 (0.761)	Data 0.001 (0.001)	Loss 1.6266 (1.8204)	Prec@1 59.375 (52.276)	Prec@5 85.938 (81.740)
Epoch: [75][10590/14090]	Time 0.742 (0.761)	Data 0.001 (0.001)	Loss 1.7882 (1.8205)	Prec@1 46.875 (52.274)	Prec@5 83.594 (81.741)
Epoch: [75][10600/14090]	Time 0.743 (0.761)	Data 0.002 (0.001)	Loss 1.9316 (1.8204)	Prec@1 53.125 (52.274)	Prec@5 78.906 (81.742)
Epoch: [75][10610/14090]	Time 0.748 (0.761)	Data 0.001 (0.001)	Loss 1.7642 (1.8204)	Prec@1 58.594 (52.277)	Prec@5 82.031 (81.743)
Epoch: [75][10620/14090]	Time 0.729 (0.761)	Data 0.001 (0.001)	Loss 1.9299 (1.8204)	Prec@1 50.781 (52.277)	Prec@5 82.812 (81.743)
Epoch: [75][10630/14090]	Time 0.752 (0.761)	Data 0.001 (0.001)	Loss 1.9696 (1.8204)	Prec@1 54.688 (52.277)	Prec@5 74.219 (81.744)
Epoch: [75][10640/14090]	Time 0.773 (0.761)	Data 0.001 (0.001)	Loss 1.9696 (1.8203)	Prec@1 48.438 (52.277)	Prec@5 79.688 (81.746)
Epoch: [75][10650/14090]	Time 0.742 (0.761)	Data 0.001 (0.001)	Loss 1.7165 (1.8203)	Prec@1 57.812 (52.277)	Prec@5 81.250 (81.745)
Epoch: [75][10660/14090]	Time 0.733 (0.761)	Data 0.001 (0.001)	Loss 1.7920 (1.8203)	Prec@1 50.000 (52.277)	Prec@5 79.688 (81.745)
Epoch: [75][10670/14090]	Time 0.725 (0.761)	Data 0.001 (0.001)	Loss 1.7294 (1.8202)	Prec@1 55.469 (52.278)	Prec@5 81.250 (81.747)
Epoch: [75][10680/14090]	Time 0.745 (0.761)	Data 0.001 (0.001)	Loss 1.5086 (1.8202)	Prec@1 57.031 (52.277)	Prec@5 89.062 (81.748)
Epoch: [75][10690/14090]	Time 0.758 (0.761)	Data 0.001 (0.001)	Loss 1.9125 (1.8203)	Prec@1 49.219 (52.276)	Prec@5 82.031 (81.747)
Epoch: [75][10700/14090]	Time 0.738 (0.761)	Data 0.001 (0.001)	Loss 1.9823 (1.8203)	Prec@1 47.656 (52.276)	Prec@5 78.125 (81.747)
Epoch: [75][10710/14090]	Time 0.975 (0.761)	Data 0.001 (0.001)	Loss 1.7624 (1.8202)	Prec@1 52.344 (52.276)	Prec@5 78.906 (81.747)
Epoch: [75][10720/14090]	Time 0.778 (0.761)	Data 0.001 (0.001)	Loss 1.9892 (1.8203)	Prec@1 48.438 (52.275)	Prec@5 78.906 (81.746)
Epoch: [75][10730/14090]	Time 0.737 (0.761)	Data 0.001 (0.001)	Loss 2.2409 (1.8203)	Prec@1 40.625 (52.273)	Prec@5 73.438 (81.745)
Epoch: [75][10740/14090]	Time 0.720 (0.761)	Data 0.001 (0.001)	Loss 1.6315 (1.8203)	Prec@1 54.688 (52.273)	Prec@5 85.156 (81.746)
Epoch: [75][10750/14090]	Time 0.730 (0.761)	Data 0.001 (0.001)	Loss 1.8301 (1.8202)	Prec@1 54.688 (52.274)	Prec@5 83.594 (81.746)
Epoch: [75][10760/14090]	Time 0.752 (0.761)	Data 0.001 (0.001)	Loss 1.6150 (1.8202)	Prec@1 60.156 (52.277)	Prec@5 84.375 (81.747)
Epoch: [75][10770/14090]	Time 0.740 (0.761)	Data 0.001 (0.001)	Loss 1.7678 (1.8202)	Prec@1 51.562 (52.276)	Prec@5 83.594 (81.747)
Epoch: [75][10780/14090]	Time 0.782 (0.761)	Data 0.001 (0.001)	Loss 1.9099 (1.8202)	Prec@1 49.219 (52.274)	Prec@5 78.906 (81.746)
Epoch: [75][10790/14090]	Time 0.736 (0.761)	Data 0.001 (0.001)	Loss 1.8256 (1.8202)	Prec@1 50.000 (52.274)	Prec@5 83.594 (81.747)
Epoch: [75][10800/14090]	Time 0.724 (0.761)	Data 0.001 (0.001)	Loss 1.7995 (1.8202)	Prec@1 51.562 (52.275)	Prec@5 82.031 (81.746)
Epoch: [75][10810/14090]	Time 0.724 (0.761)	Data 0.001 (0.001)	Loss 1.7383 (1.8202)	Prec@1 57.812 (52.275)	Prec@5 83.594 (81.747)
Epoch: [75][10820/14090]	Time 0.738 (0.761)	Data 0.001 (0.001)	Loss 1.6865 (1.8201)	Prec@1 53.906 (52.277)	Prec@5 84.375 (81.748)
Epoch: [75][10830/14090]	Time 0.750 (0.761)	Data 0.000 (0.001)	Loss 1.8149 (1.8202)	Prec@1 56.250 (52.277)	Prec@5 82.812 (81.748)
Epoch: [75][10840/14090]	Time 0.730 (0.761)	Data 0.001 (0.001)	Loss 1.8048 (1.8202)	Prec@1 56.250 (52.276)	Prec@5 78.125 (81.748)
Epoch: [75][10850/14090]	Time 0.789 (0.761)	Data 0.001 (0.001)	Loss 1.8803 (1.8202)	Prec@1 50.000 (52.276)	Prec@5 85.156 (81.748)
Epoch: [75][10860/14090]	Time 0.754 (0.761)	Data 0.001 (0.001)	Loss 1.9032 (1.8203)	Prec@1 50.000 (52.276)	Prec@5 80.469 (81.747)
Epoch: [75][10870/14090]	Time 0.740 (0.761)	Data 0.003 (0.001)	Loss 1.7063 (1.8202)	Prec@1 57.031 (52.278)	Prec@5 81.250 (81.747)
Epoch: [75][10880/14090]	Time 0.728 (0.761)	Data 0.001 (0.001)	Loss 1.6418 (1.8202)	Prec@1 57.812 (52.276)	Prec@5 85.156 (81.747)
Epoch: [75][10890/14090]	Time 0.752 (0.761)	Data 0.001 (0.001)	Loss 1.6504 (1.8202)	Prec@1 58.594 (52.276)	Prec@5 82.031 (81.749)
Epoch: [75][10900/14090]	Time 0.762 (0.761)	Data 0.001 (0.001)	Loss 1.5684 (1.8202)	Prec@1 58.594 (52.277)	Prec@5 89.062 (81.750)
Epoch: [75][10910/14090]	Time 0.755 (0.761)	Data 0.001 (0.001)	Loss 1.8825 (1.8202)	Prec@1 54.688 (52.277)	Prec@5 78.125 (81.749)
Epoch: [75][10920/14090]	Time 0.823 (0.761)	Data 0.001 (0.001)	Loss 1.5782 (1.8202)	Prec@1 55.469 (52.277)	Prec@5 84.375 (81.749)
Epoch: [75][10930/14090]	Time 0.720 (0.761)	Data 0.001 (0.001)	Loss 1.7175 (1.8202)	Prec@1 53.125 (52.278)	Prec@5 83.594 (81.751)
Epoch: [75][10940/14090]	Time 0.730 (0.761)	Data 0.001 (0.001)	Loss 2.0750 (1.8202)	Prec@1 46.094 (52.277)	Prec@5 82.031 (81.753)
Epoch: [75][10950/14090]	Time 0.767 (0.761)	Data 0.001 (0.001)	Loss 1.9898 (1.8202)	Prec@1 50.000 (52.275)	Prec@5 80.469 (81.752)
Epoch: [75][10960/14090]	Time 0.778 (0.761)	Data 0.001 (0.001)	Loss 1.8839 (1.8203)	Prec@1 48.438 (52.275)	Prec@5 81.250 (81.752)
Epoch: [75][10970/14090]	Time 0.742 (0.761)	Data 0.001 (0.001)	Loss 1.7072 (1.8202)	Prec@1 52.344 (52.273)	Prec@5 85.156 (81.753)
Epoch: [75][10980/14090]	Time 0.762 (0.761)	Data 0.001 (0.001)	Loss 1.7733 (1.8202)	Prec@1 53.125 (52.274)	Prec@5 80.469 (81.753)
Epoch: [75][10990/14090]	Time 0.790 (0.761)	Data 0.001 (0.001)	Loss 1.9235 (1.8203)	Prec@1 52.344 (52.273)	Prec@5 79.688 (81.753)
Epoch: [75][11000/14090]	Time 0.738 (0.761)	Data 0.001 (0.001)	Loss 1.8478 (1.8202)	Prec@1 51.562 (52.274)	Prec@5 82.812 (81.754)
Epoch: [75][11010/14090]	Time 0.727 (0.761)	Data 0.001 (0.001)	Loss 2.0550 (1.8203)	Prec@1 44.531 (52.272)	Prec@5 78.125 (81.754)
Epoch: [75][11020/14090]	Time 0.737 (0.761)	Data 0.001 (0.001)	Loss 1.5125 (1.8202)	Prec@1 61.719 (52.273)	Prec@5 85.938 (81.754)
Epoch: [75][11030/14090]	Time 0.744 (0.761)	Data 0.001 (0.001)	Loss 1.7155 (1.8202)	Prec@1 54.688 (52.275)	Prec@5 84.375 (81.755)
Epoch: [75][11040/14090]	Time 0.783 (0.761)	Data 0.001 (0.001)	Loss 1.8701 (1.8202)	Prec@1 46.094 (52.275)	Prec@5 78.125 (81.756)
Epoch: [75][11050/14090]	Time 0.780 (0.761)	Data 0.001 (0.001)	Loss 2.0467 (1.8202)	Prec@1 47.656 (52.273)	Prec@5 79.688 (81.756)
Epoch: [75][11060/14090]	Time 0.826 (0.761)	Data 0.001 (0.001)	Loss 1.9025 (1.8202)	Prec@1 50.781 (52.275)	Prec@5 82.812 (81.757)
Epoch: [75][11070/14090]	Time 0.731 (0.761)	Data 0.001 (0.001)	Loss 1.9901 (1.8201)	Prec@1 53.125 (52.276)	Prec@5 76.562 (81.757)
Epoch: [75][11080/14090]	Time 0.734 (0.761)	Data 0.001 (0.001)	Loss 1.8971 (1.8202)	Prec@1 47.656 (52.276)	Prec@5 82.812 (81.757)
Epoch: [75][11090/14090]	Time 0.731 (0.761)	Data 0.001 (0.001)	Loss 1.9941 (1.8202)	Prec@1 54.688 (52.276)	Prec@5 78.125 (81.755)
Epoch: [75][11100/14090]	Time 0.767 (0.761)	Data 0.001 (0.001)	Loss 1.5533 (1.8201)	Prec@1 59.375 (52.278)	Prec@5 87.500 (81.757)
Epoch: [75][11110/14090]	Time 0.739 (0.761)	Data 0.001 (0.001)	Loss 1.9421 (1.8201)	Prec@1 49.219 (52.277)	Prec@5 79.688 (81.757)
Epoch: [75][11120/14090]	Time 0.743 (0.761)	Data 0.001 (0.001)	Loss 1.6524 (1.8201)	Prec@1 52.344 (52.280)	Prec@5 86.719 (81.758)
Epoch: [75][11130/14090]	Time 0.788 (0.761)	Data 0.001 (0.001)	Loss 1.9559 (1.8200)	Prec@1 49.219 (52.280)	Prec@5 80.469 (81.759)
Epoch: [75][11140/14090]	Time 0.755 (0.761)	Data 0.001 (0.001)	Loss 1.7502 (1.8201)	Prec@1 53.125 (52.280)	Prec@5 83.594 (81.758)
Epoch: [75][11150/14090]	Time 0.734 (0.761)	Data 0.001 (0.001)	Loss 1.7472 (1.8202)	Prec@1 53.906 (52.277)	Prec@5 81.250 (81.757)
Epoch: [75][11160/14090]	Time 0.753 (0.761)	Data 0.001 (0.001)	Loss 1.9732 (1.8203)	Prec@1 50.781 (52.275)	Prec@5 81.250 (81.755)
Epoch: [75][11170/14090]	Time 0.747 (0.761)	Data 0.001 (0.001)	Loss 1.6366 (1.8202)	Prec@1 57.031 (52.276)	Prec@5 91.406 (81.756)
Epoch: [75][11180/14090]	Time 0.758 (0.761)	Data 0.001 (0.001)	Loss 2.0688 (1.8203)	Prec@1 46.094 (52.275)	Prec@5 81.250 (81.755)
Epoch: [75][11190/14090]	Time 0.726 (0.761)	Data 0.001 (0.001)	Loss 1.8280 (1.8203)	Prec@1 50.781 (52.276)	Prec@5 84.375 (81.755)
Epoch: [75][11200/14090]	Time 0.856 (0.761)	Data 0.001 (0.001)	Loss 2.0529 (1.8203)	Prec@1 47.656 (52.277)	Prec@5 75.781 (81.754)
Epoch: [75][11210/14090]	Time 0.757 (0.761)	Data 0.001 (0.001)	Loss 2.0211 (1.8204)	Prec@1 49.219 (52.278)	Prec@5 76.562 (81.755)
Epoch: [75][11220/14090]	Time 0.753 (0.761)	Data 0.001 (0.001)	Loss 1.7686 (1.8203)	Prec@1 53.125 (52.280)	Prec@5 82.812 (81.756)
Epoch: [75][11230/14090]	Time 0.763 (0.761)	Data 0.001 (0.001)	Loss 1.8536 (1.8203)	Prec@1 51.562 (52.280)	Prec@5 78.906 (81.754)
Epoch: [75][11240/14090]	Time 0.755 (0.761)	Data 0.001 (0.001)	Loss 1.8914 (1.8203)	Prec@1 50.781 (52.278)	Prec@5 82.812 (81.754)
Epoch: [75][11250/14090]	Time 0.771 (0.761)	Data 0.001 (0.001)	Loss 1.7733 (1.8203)	Prec@1 53.906 (52.277)	Prec@5 83.594 (81.756)
Epoch: [75][11260/14090]	Time 0.735 (0.761)	Data 0.001 (0.001)	Loss 1.6713 (1.8203)	Prec@1 52.344 (52.278)	Prec@5 83.594 (81.756)
Epoch: [75][11270/14090]	Time 0.838 (0.761)	Data 0.001 (0.001)	Loss 1.4858 (1.8203)	Prec@1 64.062 (52.279)	Prec@5 86.719 (81.757)
Epoch: [75][11280/14090]	Time 0.752 (0.761)	Data 0.001 (0.001)	Loss 1.9056 (1.8204)	Prec@1 49.219 (52.278)	Prec@5 78.906 (81.757)
Epoch: [75][11290/14090]	Time 0.730 (0.761)	Data 0.001 (0.001)	Loss 1.9536 (1.8204)	Prec@1 44.531 (52.277)	Prec@5 78.125 (81.758)
Epoch: [75][11300/14090]	Time 0.744 (0.761)	Data 0.001 (0.001)	Loss 1.7091 (1.8203)	Prec@1 56.250 (52.277)	Prec@5 82.031 (81.758)
Epoch: [75][11310/14090]	Time 0.746 (0.761)	Data 0.001 (0.001)	Loss 1.9997 (1.8203)	Prec@1 43.750 (52.275)	Prec@5 78.125 (81.758)
Epoch: [75][11320/14090]	Time 0.752 (0.761)	Data 0.001 (0.001)	Loss 1.8293 (1.8203)	Prec@1 49.219 (52.276)	Prec@5 79.688 (81.758)
Epoch: [75][11330/14090]	Time 0.733 (0.761)	Data 0.001 (0.001)	Loss 1.8851 (1.8203)	Prec@1 42.969 (52.274)	Prec@5 86.719 (81.759)
Epoch: [75][11340/14090]	Time 0.808 (0.761)	Data 0.001 (0.001)	Loss 1.8005 (1.8203)	Prec@1 53.125 (52.273)	Prec@5 80.469 (81.759)
Epoch: [75][11350/14090]	Time 0.780 (0.761)	Data 0.001 (0.001)	Loss 1.6983 (1.8205)	Prec@1 53.125 (52.270)	Prec@5 79.688 (81.756)
Epoch: [75][11360/14090]	Time 0.756 (0.761)	Data 0.001 (0.001)	Loss 1.9661 (1.8204)	Prec@1 46.875 (52.272)	Prec@5 77.344 (81.756)
Epoch: [75][11370/14090]	Time 0.759 (0.761)	Data 0.001 (0.001)	Loss 1.6847 (1.8203)	Prec@1 53.125 (52.272)	Prec@5 85.156 (81.758)
Epoch: [75][11380/14090]	Time 0.742 (0.761)	Data 0.001 (0.001)	Loss 1.7339 (1.8203)	Prec@1 51.562 (52.274)	Prec@5 82.812 (81.757)
Epoch: [75][11390/14090]	Time 0.731 (0.761)	Data 0.001 (0.001)	Loss 1.9300 (1.8203)	Prec@1 49.219 (52.272)	Prec@5 78.125 (81.756)
Epoch: [75][11400/14090]	Time 0.755 (0.761)	Data 0.001 (0.001)	Loss 1.9227 (1.8203)	Prec@1 48.438 (52.273)	Prec@5 83.594 (81.757)
Epoch: [75][11410/14090]	Time 0.778 (0.761)	Data 0.001 (0.001)	Loss 1.7721 (1.8203)	Prec@1 54.688 (52.272)	Prec@5 82.812 (81.757)
Epoch: [75][11420/14090]	Time 0.756 (0.761)	Data 0.001 (0.001)	Loss 1.7477 (1.8204)	Prec@1 53.125 (52.271)	Prec@5 82.031 (81.756)
Epoch: [75][11430/14090]	Time 0.779 (0.761)	Data 0.001 (0.001)	Loss 1.6177 (1.8204)	Prec@1 53.125 (52.272)	Prec@5 85.156 (81.756)
Epoch: [75][11440/14090]	Time 0.727 (0.761)	Data 0.001 (0.001)	Loss 1.8610 (1.8204)	Prec@1 53.906 (52.271)	Prec@5 81.250 (81.756)
Epoch: [75][11450/14090]	Time 0.753 (0.761)	Data 0.001 (0.001)	Loss 1.9239 (1.8204)	Prec@1 54.688 (52.271)	Prec@5 83.594 (81.756)
Epoch: [75][11460/14090]	Time 0.760 (0.761)	Data 0.001 (0.001)	Loss 1.8572 (1.8204)	Prec@1 55.469 (52.272)	Prec@5 79.688 (81.756)
Epoch: [75][11470/14090]	Time 0.728 (0.761)	Data 0.001 (0.001)	Loss 1.8960 (1.8205)	Prec@1 44.531 (52.271)	Prec@5 81.250 (81.756)
Epoch: [75][11480/14090]	Time 0.831 (0.761)	Data 0.001 (0.001)	Loss 1.6138 (1.8204)	Prec@1 56.250 (52.272)	Prec@5 84.375 (81.757)
Epoch: [75][11490/14090]	Time 0.747 (0.761)	Data 0.001 (0.001)	Loss 1.5464 (1.8205)	Prec@1 53.906 (52.271)	Prec@5 86.719 (81.755)
Epoch: [75][11500/14090]	Time 0.727 (0.761)	Data 0.001 (0.001)	Loss 1.8759 (1.8205)	Prec@1 53.906 (52.270)	Prec@5 80.469 (81.755)
Epoch: [75][11510/14090]	Time 0.767 (0.761)	Data 0.001 (0.001)	Loss 2.0256 (1.8205)	Prec@1 48.438 (52.270)	Prec@5 78.906 (81.755)
Epoch: [75][11520/14090]	Time 0.737 (0.761)	Data 0.001 (0.001)	Loss 1.4811 (1.8205)	Prec@1 57.031 (52.270)	Prec@5 87.500 (81.756)
Epoch: [75][11530/14090]	Time 0.727 (0.761)	Data 0.001 (0.001)	Loss 1.9093 (1.8205)	Prec@1 52.344 (52.270)	Prec@5 83.594 (81.755)
Epoch: [75][11540/14090]	Time 0.745 (0.761)	Data 0.001 (0.001)	Loss 1.7590 (1.8205)	Prec@1 54.688 (52.269)	Prec@5 78.125 (81.754)
Epoch: [75][11550/14090]	Time 0.791 (0.761)	Data 0.001 (0.001)	Loss 1.4962 (1.8205)	Prec@1 57.812 (52.269)	Prec@5 87.500 (81.754)
Epoch: [75][11560/14090]	Time 0.746 (0.761)	Data 0.001 (0.001)	Loss 1.5640 (1.8205)	Prec@1 60.156 (52.270)	Prec@5 85.156 (81.755)
Epoch: [75][11570/14090]	Time 0.736 (0.761)	Data 0.001 (0.001)	Loss 1.5109 (1.8205)	Prec@1 63.281 (52.271)	Prec@5 85.156 (81.753)
Epoch: [75][11580/14090]	Time 0.733 (0.761)	Data 0.001 (0.001)	Loss 1.6241 (1.8205)	Prec@1 60.156 (52.271)	Prec@5 84.375 (81.754)
Epoch: [75][11590/14090]	Time 0.737 (0.761)	Data 0.001 (0.001)	Loss 1.5826 (1.8205)	Prec@1 53.906 (52.271)	Prec@5 89.844 (81.754)
Epoch: [75][11600/14090]	Time 0.738 (0.761)	Data 0.001 (0.001)	Loss 1.4846 (1.8205)	Prec@1 52.344 (52.272)	Prec@5 88.281 (81.755)
Epoch: [75][11610/14090]	Time 0.731 (0.761)	Data 0.001 (0.001)	Loss 2.0000 (1.8205)	Prec@1 50.781 (52.271)	Prec@5 78.125 (81.755)
Epoch: [75][11620/14090]	Time 0.988 (0.761)	Data 0.001 (0.001)	Loss 1.6922 (1.8205)	Prec@1 49.219 (52.272)	Prec@5 82.812 (81.756)
Epoch: [75][11630/14090]	Time 0.763 (0.761)	Data 0.001 (0.001)	Loss 1.8896 (1.8205)	Prec@1 48.438 (52.271)	Prec@5 79.688 (81.755)
Epoch: [75][11640/14090]	Time 0.742 (0.761)	Data 0.001 (0.001)	Loss 1.8677 (1.8206)	Prec@1 52.344 (52.271)	Prec@5 79.688 (81.754)
Epoch: [75][11650/14090]	Time 0.775 (0.761)	Data 0.001 (0.001)	Loss 1.7278 (1.8206)	Prec@1 57.812 (52.269)	Prec@5 82.812 (81.754)
Epoch: [75][11660/14090]	Time 0.723 (0.761)	Data 0.001 (0.001)	Loss 2.0601 (1.8206)	Prec@1 48.438 (52.270)	Prec@5 72.656 (81.753)
Epoch: [75][11670/14090]	Time 0.760 (0.761)	Data 0.001 (0.001)	Loss 1.6705 (1.8206)	Prec@1 57.031 (52.272)	Prec@5 82.031 (81.751)
Epoch: [75][11680/14090]	Time 0.740 (0.761)	Data 0.001 (0.001)	Loss 1.7992 (1.8206)	Prec@1 47.656 (52.272)	Prec@5 85.938 (81.753)
Epoch: [75][11690/14090]	Time 0.833 (0.761)	Data 0.001 (0.001)	Loss 1.7424 (1.8206)	Prec@1 53.906 (52.273)	Prec@5 82.812 (81.753)
Epoch: [75][11700/14090]	Time 0.732 (0.761)	Data 0.001 (0.001)	Loss 1.7884 (1.8206)	Prec@1 46.875 (52.272)	Prec@5 85.938 (81.754)
Epoch: [75][11710/14090]	Time 0.744 (0.761)	Data 0.001 (0.001)	Loss 1.8158 (1.8207)	Prec@1 44.531 (52.269)	Prec@5 84.375 (81.753)
Epoch: [75][11720/14090]	Time 0.767 (0.761)	Data 0.001 (0.001)	Loss 1.8851 (1.8207)	Prec@1 52.344 (52.269)	Prec@5 78.906 (81.753)
Epoch: [75][11730/14090]	Time 0.738 (0.761)	Data 0.001 (0.001)	Loss 1.7947 (1.8207)	Prec@1 49.219 (52.268)	Prec@5 82.031 (81.753)
Epoch: [75][11740/14090]	Time 0.763 (0.761)	Data 0.001 (0.001)	Loss 2.3309 (1.8207)	Prec@1 39.844 (52.269)	Prec@5 73.438 (81.753)
Epoch: [75][11750/14090]	Time 0.740 (0.761)	Data 0.001 (0.001)	Loss 2.1064 (1.8208)	Prec@1 42.969 (52.268)	Prec@5 80.469 (81.751)
Epoch: [75][11760/14090]	Time 0.793 (0.761)	Data 0.001 (0.001)	Loss 2.0178 (1.8208)	Prec@1 46.875 (52.266)	Prec@5 78.125 (81.751)
Epoch: [75][11770/14090]	Time 0.733 (0.761)	Data 0.001 (0.001)	Loss 2.0583 (1.8208)	Prec@1 49.219 (52.269)	Prec@5 78.125 (81.751)
Epoch: [75][11780/14090]	Time 0.740 (0.761)	Data 0.001 (0.001)	Loss 1.9175 (1.8208)	Prec@1 48.438 (52.269)	Prec@5 80.469 (81.751)
Epoch: [75][11790/14090]	Time 0.764 (0.761)	Data 0.001 (0.001)	Loss 2.0283 (1.8209)	Prec@1 45.312 (52.268)	Prec@5 79.688 (81.751)
Epoch: [75][11800/14090]	Time 0.746 (0.761)	Data 0.001 (0.001)	Loss 1.8305 (1.8209)	Prec@1 50.000 (52.266)	Prec@5 82.031 (81.751)
Epoch: [75][11810/14090]	Time 0.765 (0.761)	Data 0.001 (0.001)	Loss 1.8489 (1.8209)	Prec@1 50.781 (52.266)	Prec@5 79.688 (81.751)
Epoch: [75][11820/14090]	Time 0.739 (0.761)	Data 0.001 (0.001)	Loss 1.7464 (1.8209)	Prec@1 51.562 (52.265)	Prec@5 83.594 (81.750)
Epoch: [75][11830/14090]	Time 0.846 (0.761)	Data 0.001 (0.001)	Loss 1.6323 (1.8208)	Prec@1 57.812 (52.265)	Prec@5 85.938 (81.752)
Epoch: [75][11840/14090]	Time 0.765 (0.761)	Data 0.001 (0.001)	Loss 2.0423 (1.8209)	Prec@1 46.875 (52.264)	Prec@5 79.688 (81.751)
Epoch: [75][11850/14090]	Time 0.768 (0.761)	Data 0.001 (0.001)	Loss 1.9737 (1.8209)	Prec@1 45.312 (52.263)	Prec@5 82.031 (81.751)
Epoch: [75][11860/14090]	Time 0.730 (0.761)	Data 0.001 (0.001)	Loss 1.8167 (1.8209)	Prec@1 53.125 (52.263)	Prec@5 79.688 (81.751)
Epoch: [75][11870/14090]	Time 0.731 (0.761)	Data 0.001 (0.001)	Loss 1.9075 (1.8209)	Prec@1 57.031 (52.263)	Prec@5 81.250 (81.752)
Epoch: [75][11880/14090]	Time 0.768 (0.761)	Data 0.001 (0.001)	Loss 2.0820 (1.8209)	Prec@1 49.219 (52.262)	Prec@5 78.906 (81.751)
Epoch: [75][11890/14090]	Time 0.766 (0.761)	Data 0.001 (0.001)	Loss 2.0721 (1.8210)	Prec@1 46.094 (52.260)	Prec@5 78.906 (81.751)
Epoch: [75][11900/14090]	Time 0.779 (0.761)	Data 0.001 (0.001)	Loss 2.0633 (1.8210)	Prec@1 48.438 (52.260)	Prec@5 75.000 (81.751)
Epoch: [75][11910/14090]	Time 0.766 (0.761)	Data 0.001 (0.001)	Loss 1.7563 (1.8210)	Prec@1 57.031 (52.259)	Prec@5 78.125 (81.750)
Epoch: [75][11920/14090]	Time 0.778 (0.761)	Data 0.001 (0.001)	Loss 1.5653 (1.8210)	Prec@1 52.344 (52.259)	Prec@5 89.844 (81.749)
Epoch: [75][11930/14090]	Time 0.756 (0.761)	Data 0.001 (0.001)	Loss 2.0390 (1.8210)	Prec@1 45.312 (52.260)	Prec@5 78.125 (81.749)
Epoch: [75][11940/14090]	Time 0.779 (0.761)	Data 0.001 (0.001)	Loss 1.8915 (1.8210)	Prec@1 55.469 (52.261)	Prec@5 75.781 (81.749)
Epoch: [75][11950/14090]	Time 0.764 (0.761)	Data 0.001 (0.001)	Loss 1.7507 (1.8211)	Prec@1 51.562 (52.259)	Prec@5 83.594 (81.748)
Epoch: [75][11960/14090]	Time 0.744 (0.761)	Data 0.001 (0.001)	Loss 1.9800 (1.8211)	Prec@1 47.656 (52.258)	Prec@5 78.906 (81.748)
Epoch: [75][11970/14090]	Time 0.936 (0.761)	Data 0.001 (0.001)	Loss 1.8340 (1.8210)	Prec@1 51.562 (52.261)	Prec@5 82.031 (81.750)
Epoch: [75][11980/14090]	Time 0.718 (0.761)	Data 0.001 (0.001)	Loss 1.6935 (1.8210)	Prec@1 54.688 (52.261)	Prec@5 85.156 (81.750)
Epoch: [75][11990/14090]	Time 0.761 (0.761)	Data 0.001 (0.001)	Loss 1.8449 (1.8210)	Prec@1 56.250 (52.259)	Prec@5 84.375 (81.749)
Epoch: [75][12000/14090]	Time 0.794 (0.761)	Data 0.001 (0.001)	Loss 2.1165 (1.8211)	Prec@1 44.531 (52.257)	Prec@5 73.438 (81.749)
Epoch: [75][12010/14090]	Time 0.736 (0.761)	Data 0.001 (0.001)	Loss 1.6551 (1.8210)	Prec@1 54.688 (52.259)	Prec@5 82.031 (81.750)
Epoch: [75][12020/14090]	Time 0.763 (0.761)	Data 0.001 (0.001)	Loss 2.1581 (1.8210)	Prec@1 43.750 (52.260)	Prec@5 76.562 (81.751)
Epoch: [75][12030/14090]	Time 0.746 (0.761)	Data 0.001 (0.001)	Loss 1.9351 (1.8210)	Prec@1 48.438 (52.260)	Prec@5 81.250 (81.750)
Epoch: [75][12040/14090]	Time 0.799 (0.761)	Data 0.001 (0.001)	Loss 1.8234 (1.8209)	Prec@1 52.344 (52.260)	Prec@5 85.156 (81.751)
Epoch: [75][12050/14090]	Time 0.745 (0.761)	Data 0.001 (0.001)	Loss 1.9346 (1.8210)	Prec@1 50.781 (52.258)	Prec@5 81.250 (81.750)
Epoch: [75][12060/14090]	Time 0.769 (0.761)	Data 0.001 (0.001)	Loss 1.8339 (1.8210)	Prec@1 53.125 (52.258)	Prec@5 80.469 (81.749)
Epoch: [75][12070/14090]	Time 0.746 (0.761)	Data 0.001 (0.001)	Loss 1.6884 (1.8211)	Prec@1 53.125 (52.258)	Prec@5 85.938 (81.748)
Epoch: [75][12080/14090]	Time 0.771 (0.761)	Data 0.001 (0.001)	Loss 1.5987 (1.8211)	Prec@1 58.594 (52.257)	Prec@5 85.156 (81.749)
Epoch: [75][12090/14090]	Time 0.754 (0.761)	Data 0.001 (0.001)	Loss 1.4518 (1.8210)	Prec@1 57.812 (52.258)	Prec@5 89.844 (81.751)
Epoch: [75][12100/14090]	Time 0.736 (0.761)	Data 0.001 (0.001)	Loss 1.8630 (1.8210)	Prec@1 57.812 (52.259)	Prec@5 82.812 (81.752)
Epoch: [75][12110/14090]	Time 0.840 (0.761)	Data 0.001 (0.001)	Loss 2.0163 (1.8210)	Prec@1 46.875 (52.258)	Prec@5 77.344 (81.751)
Epoch: [75][12120/14090]	Time 0.781 (0.761)	Data 0.001 (0.001)	Loss 1.6493 (1.8210)	Prec@1 52.344 (52.257)	Prec@5 84.375 (81.751)
Epoch: [75][12130/14090]	Time 0.789 (0.761)	Data 0.001 (0.001)	Loss 1.8374 (1.8210)	Prec@1 49.219 (52.256)	Prec@5 80.469 (81.751)
Epoch: [75][12140/14090]	Time 0.751 (0.761)	Data 0.001 (0.001)	Loss 1.5690 (1.8211)	Prec@1 60.938 (52.255)	Prec@5 85.938 (81.749)
Epoch: [75][12150/14090]	Time 0.735 (0.761)	Data 0.001 (0.001)	Loss 1.9141 (1.8212)	Prec@1 48.438 (52.252)	Prec@5 82.031 (81.749)
Epoch: [75][12160/14090]	Time 0.743 (0.761)	Data 0.001 (0.001)	Loss 1.8091 (1.8212)	Prec@1 50.781 (52.251)	Prec@5 82.031 (81.751)
Epoch: [75][12170/14090]	Time 0.734 (0.761)	Data 0.001 (0.001)	Loss 2.0488 (1.8212)	Prec@1 47.656 (52.251)	Prec@5 78.125 (81.751)
Epoch: [75][12180/14090]	Time 0.821 (0.761)	Data 0.001 (0.001)	Loss 1.7654 (1.8212)	Prec@1 50.000 (52.251)	Prec@5 82.031 (81.751)
Epoch: [75][12190/14090]	Time 0.776 (0.761)	Data 0.002 (0.001)	Loss 1.8556 (1.8211)	Prec@1 50.000 (52.250)	Prec@5 81.250 (81.752)
Epoch: [75][12200/14090]	Time 0.736 (0.761)	Data 0.001 (0.001)	Loss 1.7380 (1.8211)	Prec@1 51.562 (52.251)	Prec@5 82.812 (81.752)
Epoch: [75][12210/14090]	Time 0.737 (0.761)	Data 0.001 (0.001)	Loss 1.8459 (1.8211)	Prec@1 54.688 (52.252)	Prec@5 83.594 (81.752)
Epoch: [75][12220/14090]	Time 0.795 (0.761)	Data 0.001 (0.001)	Loss 1.9973 (1.8211)	Prec@1 49.219 (52.251)	Prec@5 76.562 (81.752)
Epoch: [75][12230/14090]	Time 0.775 (0.762)	Data 0.001 (0.001)	Loss 2.1192 (1.8211)	Prec@1 47.656 (52.249)	Prec@5 77.344 (81.750)
Epoch: [75][12240/14090]	Time 0.776 (0.762)	Data 0.002 (0.001)	Loss 1.7972 (1.8211)	Prec@1 52.344 (52.251)	Prec@5 83.594 (81.751)
Epoch: [75][12250/14090]	Time 0.879 (0.762)	Data 0.001 (0.001)	Loss 1.8065 (1.8210)	Prec@1 53.906 (52.251)	Prec@5 83.594 (81.754)
Epoch: [75][12260/14090]	Time 0.741 (0.761)	Data 0.001 (0.001)	Loss 1.7453 (1.8210)	Prec@1 57.031 (52.253)	Prec@5 82.812 (81.754)
Epoch: [75][12270/14090]	Time 0.770 (0.762)	Data 0.001 (0.001)	Loss 1.8355 (1.8210)	Prec@1 54.688 (52.253)	Prec@5 79.688 (81.753)
Epoch: [75][12280/14090]	Time 0.748 (0.762)	Data 0.001 (0.001)	Loss 1.6550 (1.8210)	Prec@1 53.906 (52.253)	Prec@5 81.250 (81.752)
Epoch: [75][12290/14090]	Time 0.762 (0.762)	Data 0.001 (0.001)	Loss 1.9572 (1.8211)	Prec@1 45.312 (52.251)	Prec@5 80.469 (81.750)
Epoch: [75][12300/14090]	Time 0.752 (0.762)	Data 0.001 (0.001)	Loss 1.8168 (1.8211)	Prec@1 57.031 (52.253)	Prec@5 81.250 (81.750)
Epoch: [75][12310/14090]	Time 0.739 (0.762)	Data 0.001 (0.001)	Loss 1.6449 (1.8211)	Prec@1 53.125 (52.254)	Prec@5 85.156 (81.749)
Epoch: [75][12320/14090]	Time 0.800 (0.762)	Data 0.001 (0.001)	Loss 1.8129 (1.8211)	Prec@1 53.906 (52.254)	Prec@5 82.031 (81.749)
Epoch: [75][12330/14090]	Time 0.738 (0.762)	Data 0.001 (0.001)	Loss 2.0019 (1.8211)	Prec@1 47.656 (52.253)	Prec@5 81.250 (81.749)
Epoch: [75][12340/14090]	Time 0.762 (0.762)	Data 0.001 (0.001)	Loss 2.0173 (1.8211)	Prec@1 53.125 (52.253)	Prec@5 74.219 (81.748)
Epoch: [75][12350/14090]	Time 0.725 (0.762)	Data 0.001 (0.001)	Loss 1.7657 (1.8212)	Prec@1 51.562 (52.252)	Prec@5 84.375 (81.748)
Epoch: [75][12360/14090]	Time 0.775 (0.762)	Data 0.001 (0.001)	Loss 1.8296 (1.8212)	Prec@1 52.344 (52.251)	Prec@5 79.688 (81.747)
Epoch: [75][12370/14090]	Time 0.749 (0.762)	Data 0.001 (0.001)	Loss 1.7163 (1.8212)	Prec@1 53.125 (52.250)	Prec@5 85.156 (81.747)
Epoch: [75][12380/14090]	Time 0.743 (0.762)	Data 0.001 (0.001)	Loss 2.0864 (1.8212)	Prec@1 44.531 (52.250)	Prec@5 77.344 (81.746)
Epoch: [75][12390/14090]	Time 0.823 (0.762)	Data 0.001 (0.001)	Loss 1.9424 (1.8212)	Prec@1 47.656 (52.249)	Prec@5 78.906 (81.745)
Epoch: [75][12400/14090]	Time 0.741 (0.762)	Data 0.002 (0.001)	Loss 1.9535 (1.8212)	Prec@1 47.656 (52.250)	Prec@5 81.250 (81.746)
Epoch: [75][12410/14090]	Time 0.759 (0.762)	Data 0.001 (0.001)	Loss 2.2299 (1.8212)	Prec@1 40.625 (52.250)	Prec@5 71.875 (81.745)
Epoch: [75][12420/14090]	Time 0.765 (0.762)	Data 0.001 (0.001)	Loss 1.9193 (1.8212)	Prec@1 49.219 (52.249)	Prec@5 80.469 (81.745)
Epoch: [75][12430/14090]	Time 0.732 (0.762)	Data 0.001 (0.001)	Loss 1.9860 (1.8212)	Prec@1 51.562 (52.251)	Prec@5 77.344 (81.745)
Epoch: [75][12440/14090]	Time 0.746 (0.762)	Data 0.001 (0.001)	Loss 1.6814 (1.8211)	Prec@1 53.906 (52.253)	Prec@5 82.812 (81.745)
Epoch: [75][12450/14090]	Time 0.733 (0.762)	Data 0.001 (0.001)	Loss 1.9422 (1.8211)	Prec@1 47.656 (52.253)	Prec@5 83.594 (81.745)
Epoch: [75][12460/14090]	Time 0.789 (0.762)	Data 0.001 (0.001)	Loss 1.7129 (1.8211)	Prec@1 53.906 (52.254)	Prec@5 82.812 (81.747)
Epoch: [75][12470/14090]	Time 0.755 (0.762)	Data 0.001 (0.001)	Loss 1.7250 (1.8211)	Prec@1 52.344 (52.253)	Prec@5 82.812 (81.747)
Epoch: [75][12480/14090]	Time 0.737 (0.762)	Data 0.001 (0.001)	Loss 1.6968 (1.8211)	Prec@1 50.781 (52.252)	Prec@5 82.812 (81.746)
Epoch: [75][12490/14090]	Time 0.746 (0.762)	Data 0.001 (0.001)	Loss 1.7856 (1.8211)	Prec@1 52.344 (52.253)	Prec@5 79.688 (81.745)
Epoch: [75][12500/14090]	Time 0.771 (0.762)	Data 0.001 (0.001)	Loss 1.8212 (1.8211)	Prec@1 53.125 (52.254)	Prec@5 81.250 (81.745)
Epoch: [75][12510/14090]	Time 0.737 (0.762)	Data 0.001 (0.001)	Loss 2.0102 (1.8211)	Prec@1 42.188 (52.252)	Prec@5 80.469 (81.745)
Epoch: [75][12520/14090]	Time 0.738 (0.762)	Data 0.001 (0.001)	Loss 1.7095 (1.8211)	Prec@1 54.688 (52.253)	Prec@5 82.812 (81.745)
Epoch: [75][12530/14090]	Time 0.777 (0.762)	Data 0.001 (0.001)	Loss 1.7895 (1.8212)	Prec@1 53.125 (52.253)	Prec@5 82.812 (81.744)
Epoch: [75][12540/14090]	Time 0.778 (0.762)	Data 0.001 (0.001)	Loss 1.8084 (1.8212)	Prec@1 49.219 (52.252)	Prec@5 82.031 (81.743)
Epoch: [75][12550/14090]	Time 0.743 (0.762)	Data 0.001 (0.001)	Loss 1.9740 (1.8212)	Prec@1 51.562 (52.253)	Prec@5 81.250 (81.744)
Epoch: [75][12560/14090]	Time 0.765 (0.762)	Data 0.001 (0.001)	Loss 2.1178 (1.8212)	Prec@1 43.750 (52.252)	Prec@5 76.562 (81.742)
Epoch: [75][12570/14090]	Time 0.729 (0.762)	Data 0.001 (0.001)	Loss 1.8719 (1.8212)	Prec@1 50.781 (52.253)	Prec@5 82.812 (81.742)
Epoch: [75][12580/14090]	Time 0.734 (0.762)	Data 0.001 (0.001)	Loss 1.9458 (1.8212)	Prec@1 52.344 (52.254)	Prec@5 78.125 (81.742)
Epoch: [75][12590/14090]	Time 0.770 (0.762)	Data 0.001 (0.001)	Loss 1.8175 (1.8212)	Prec@1 55.469 (52.255)	Prec@5 78.125 (81.742)
Epoch: [75][12600/14090]	Time 0.832 (0.762)	Data 0.001 (0.001)	Loss 1.6275 (1.8212)	Prec@1 55.469 (52.255)	Prec@5 82.031 (81.742)
Epoch: [75][12610/14090]	Time 0.743 (0.762)	Data 0.001 (0.001)	Loss 1.8386 (1.8212)	Prec@1 53.125 (52.254)	Prec@5 83.594 (81.743)
Epoch: [75][12620/14090]	Time 0.755 (0.762)	Data 0.001 (0.001)	Loss 1.8415 (1.8212)	Prec@1 59.375 (52.254)	Prec@5 84.375 (81.744)
Epoch: [75][12630/14090]	Time 0.735 (0.762)	Data 0.002 (0.001)	Loss 1.8378 (1.8212)	Prec@1 49.219 (52.253)	Prec@5 85.156 (81.743)
Epoch: [75][12640/14090]	Time 0.783 (0.762)	Data 0.001 (0.001)	Loss 1.6471 (1.8212)	Prec@1 51.562 (52.254)	Prec@5 86.719 (81.744)
Epoch: [75][12650/14090]	Time 0.755 (0.762)	Data 0.001 (0.001)	Loss 1.7714 (1.8212)	Prec@1 57.812 (52.253)	Prec@5 82.031 (81.743)
Epoch: [75][12660/14090]	Time 0.761 (0.762)	Data 0.001 (0.001)	Loss 1.8602 (1.8213)	Prec@1 51.562 (52.253)	Prec@5 78.906 (81.741)
Epoch: [75][12670/14090]	Time 0.838 (0.762)	Data 0.001 (0.001)	Loss 1.9637 (1.8213)	Prec@1 45.312 (52.253)	Prec@5 80.469 (81.741)
Epoch: [75][12680/14090]	Time 0.785 (0.762)	Data 0.001 (0.001)	Loss 1.8050 (1.8213)	Prec@1 53.906 (52.254)	Prec@5 78.906 (81.741)
Epoch: [75][12690/14090]	Time 0.750 (0.762)	Data 0.001 (0.001)	Loss 1.9837 (1.8213)	Prec@1 47.656 (52.254)	Prec@5 82.031 (81.740)
Epoch: [75][12700/14090]	Time 0.767 (0.762)	Data 0.001 (0.001)	Loss 1.9832 (1.8213)	Prec@1 50.000 (52.253)	Prec@5 78.125 (81.739)
Epoch: [75][12710/14090]	Time 0.775 (0.762)	Data 0.001 (0.001)	Loss 1.6741 (1.8213)	Prec@1 56.250 (52.255)	Prec@5 85.156 (81.741)
Epoch: [75][12720/14090]	Time 0.784 (0.762)	Data 0.001 (0.001)	Loss 1.9275 (1.8214)	Prec@1 53.125 (52.251)	Prec@5 80.469 (81.739)
Epoch: [75][12730/14090]	Time 0.779 (0.762)	Data 0.001 (0.001)	Loss 1.8971 (1.8213)	Prec@1 50.781 (52.251)	Prec@5 83.594 (81.739)
Epoch: [75][12740/14090]	Time 0.792 (0.762)	Data 0.001 (0.001)	Loss 1.5145 (1.8213)	Prec@1 60.938 (52.251)	Prec@5 88.281 (81.739)
Epoch: [75][12750/14090]	Time 0.728 (0.762)	Data 0.001 (0.001)	Loss 2.0143 (1.8213)	Prec@1 52.344 (52.253)	Prec@5 81.250 (81.739)
Epoch: [75][12760/14090]	Time 0.733 (0.762)	Data 0.001 (0.001)	Loss 1.8044 (1.8213)	Prec@1 53.125 (52.252)	Prec@5 81.250 (81.739)
Epoch: [75][12770/14090]	Time 0.773 (0.762)	Data 0.001 (0.001)	Loss 1.9518 (1.8213)	Prec@1 54.688 (52.253)	Prec@5 78.906 (81.739)
Epoch: [75][12780/14090]	Time 0.739 (0.762)	Data 0.001 (0.001)	Loss 1.7733 (1.8214)	Prec@1 53.125 (52.253)	Prec@5 83.594 (81.738)
Epoch: [75][12790/14090]	Time 0.758 (0.762)	Data 0.001 (0.001)	Loss 1.9956 (1.8214)	Prec@1 53.906 (52.253)	Prec@5 76.562 (81.737)
Epoch: [75][12800/14090]	Time 0.727 (0.762)	Data 0.004 (0.001)	Loss 1.8830 (1.8214)	Prec@1 49.219 (52.253)	Prec@5 85.156 (81.736)
Epoch: [75][12810/14090]	Time 0.893 (0.762)	Data 0.001 (0.001)	Loss 2.0879 (1.8214)	Prec@1 43.750 (52.254)	Prec@5 76.562 (81.736)
Epoch: [75][12820/14090]	Time 0.745 (0.762)	Data 0.001 (0.001)	Loss 1.7646 (1.8214)	Prec@1 55.469 (52.254)	Prec@5 83.594 (81.736)
Epoch: [75][12830/14090]	Time 0.786 (0.762)	Data 0.001 (0.001)	Loss 1.6353 (1.8214)	Prec@1 63.281 (52.255)	Prec@5 87.500 (81.736)
Epoch: [75][12840/14090]	Time 0.736 (0.762)	Data 0.001 (0.001)	Loss 1.7012 (1.8214)	Prec@1 53.125 (52.255)	Prec@5 83.594 (81.737)
Epoch: [75][12850/14090]	Time 0.733 (0.762)	Data 0.001 (0.001)	Loss 1.9275 (1.8214)	Prec@1 44.531 (52.254)	Prec@5 79.688 (81.737)
Epoch: [75][12860/14090]	Time 0.724 (0.762)	Data 0.001 (0.001)	Loss 1.7015 (1.8214)	Prec@1 51.562 (52.254)	Prec@5 83.594 (81.737)
Epoch: [75][12870/14090]	Time 0.743 (0.762)	Data 0.001 (0.001)	Loss 1.8767 (1.8214)	Prec@1 50.000 (52.254)	Prec@5 81.250 (81.738)
Epoch: [75][12880/14090]	Time 0.780 (0.762)	Data 0.001 (0.001)	Loss 2.0650 (1.8214)	Prec@1 47.656 (52.253)	Prec@5 78.906 (81.738)
Epoch: [75][12890/14090]	Time 0.762 (0.762)	Data 0.001 (0.001)	Loss 1.4419 (1.8214)	Prec@1 60.938 (52.252)	Prec@5 89.062 (81.738)
Epoch: [75][12900/14090]	Time 0.748 (0.762)	Data 0.001 (0.001)	Loss 1.6883 (1.8214)	Prec@1 57.812 (52.250)	Prec@5 82.031 (81.737)
Epoch: [75][12910/14090]	Time 0.777 (0.762)	Data 0.001 (0.001)	Loss 1.7097 (1.8214)	Prec@1 58.594 (52.252)	Prec@5 81.250 (81.737)
Epoch: [75][12920/14090]	Time 0.733 (0.762)	Data 0.001 (0.001)	Loss 1.9414 (1.8214)	Prec@1 51.562 (52.252)	Prec@5 78.906 (81.737)
Epoch: [75][12930/14090]	Time 0.744 (0.762)	Data 0.001 (0.001)	Loss 1.8306 (1.8215)	Prec@1 54.688 (52.252)	Prec@5 78.125 (81.735)
Epoch: [75][12940/14090]	Time 0.730 (0.762)	Data 0.001 (0.001)	Loss 1.9795 (1.8215)	Prec@1 46.875 (52.251)	Prec@5 79.688 (81.735)
Epoch: [75][12950/14090]	Time 0.777 (0.762)	Data 0.001 (0.001)	Loss 1.5658 (1.8215)	Prec@1 53.125 (52.249)	Prec@5 87.500 (81.735)
Epoch: [75][12960/14090]	Time 0.781 (0.762)	Data 0.001 (0.001)	Loss 1.9880 (1.8215)	Prec@1 50.781 (52.249)	Prec@5 80.469 (81.736)
Epoch: [75][12970/14090]	Time 0.757 (0.762)	Data 0.001 (0.001)	Loss 2.0232 (1.8215)	Prec@1 47.656 (52.251)	Prec@5 76.562 (81.736)
Epoch: [75][12980/14090]	Time 0.762 (0.762)	Data 0.001 (0.001)	Loss 1.9297 (1.8215)	Prec@1 48.438 (52.250)	Prec@5 75.781 (81.736)
Epoch: [75][12990/14090]	Time 0.739 (0.762)	Data 0.001 (0.001)	Loss 1.8275 (1.8215)	Prec@1 54.688 (52.250)	Prec@5 84.375 (81.737)
Epoch: [75][13000/14090]	Time 0.755 (0.762)	Data 0.001 (0.001)	Loss 1.6874 (1.8215)	Prec@1 46.875 (52.249)	Prec@5 85.156 (81.738)
Epoch: [75][13010/14090]	Time 0.734 (0.762)	Data 0.001 (0.001)	Loss 1.9462 (1.8215)	Prec@1 45.312 (52.247)	Prec@5 78.906 (81.736)
Epoch: [75][13020/14090]	Time 0.763 (0.762)	Data 0.001 (0.001)	Loss 1.7350 (1.8215)	Prec@1 52.344 (52.248)	Prec@5 88.281 (81.736)
Epoch: [75][13030/14090]	Time 0.785 (0.762)	Data 0.001 (0.001)	Loss 1.8225 (1.8216)	Prec@1 56.250 (52.247)	Prec@5 81.250 (81.736)
Epoch: [75][13040/14090]	Time 0.750 (0.762)	Data 0.001 (0.001)	Loss 1.8256 (1.8217)	Prec@1 54.688 (52.246)	Prec@5 85.156 (81.734)
Epoch: [75][13050/14090]	Time 0.743 (0.762)	Data 0.001 (0.001)	Loss 1.5828 (1.8216)	Prec@1 53.906 (52.246)	Prec@5 88.281 (81.736)
Epoch: [75][13060/14090]	Time 0.762 (0.762)	Data 0.001 (0.001)	Loss 1.9903 (1.8216)	Prec@1 50.000 (52.246)	Prec@5 78.906 (81.735)
Epoch: [75][13070/14090]	Time 0.758 (0.762)	Data 0.001 (0.001)	Loss 1.7573 (1.8216)	Prec@1 59.375 (52.248)	Prec@5 82.031 (81.736)
Epoch: [75][13080/14090]	Time 0.738 (0.762)	Data 0.001 (0.001)	Loss 1.8880 (1.8215)	Prec@1 51.562 (52.250)	Prec@5 80.469 (81.736)
Epoch: [75][13090/14090]	Time 0.798 (0.762)	Data 0.001 (0.001)	Loss 2.1024 (1.8216)	Prec@1 47.656 (52.249)	Prec@5 77.344 (81.735)
Epoch: [75][13100/14090]	Time 0.722 (0.762)	Data 0.001 (0.001)	Loss 1.7508 (1.8217)	Prec@1 53.125 (52.246)	Prec@5 82.812 (81.733)
Epoch: [75][13110/14090]	Time 0.739 (0.762)	Data 0.001 (0.001)	Loss 1.8041 (1.8217)	Prec@1 52.344 (52.246)	Prec@5 82.031 (81.733)
Epoch: [75][13120/14090]	Time 0.786 (0.762)	Data 0.001 (0.001)	Loss 1.7307 (1.8217)	Prec@1 49.219 (52.246)	Prec@5 83.594 (81.733)
Epoch: [75][13130/14090]	Time 0.736 (0.762)	Data 0.001 (0.001)	Loss 1.6250 (1.8217)	Prec@1 57.812 (52.245)	Prec@5 87.500 (81.733)
Epoch: [75][13140/14090]	Time 0.786 (0.762)	Data 0.000 (0.001)	Loss 1.7532 (1.8217)	Prec@1 50.000 (52.246)	Prec@5 79.688 (81.732)
Epoch: [75][13150/14090]	Time 0.745 (0.762)	Data 0.001 (0.001)	Loss 1.7802 (1.8217)	Prec@1 55.469 (52.245)	Prec@5 79.688 (81.731)
Epoch: [75][13160/14090]	Time 0.845 (0.762)	Data 0.002 (0.001)	Loss 1.5738 (1.8217)	Prec@1 54.688 (52.246)	Prec@5 84.375 (81.731)
Epoch: [75][13170/14090]	Time 0.758 (0.762)	Data 0.001 (0.001)	Loss 1.7710 (1.8217)	Prec@1 58.594 (52.246)	Prec@5 81.250 (81.731)
Epoch: [75][13180/14090]	Time 0.737 (0.762)	Data 0.001 (0.001)	Loss 1.5888 (1.8217)	Prec@1 53.906 (52.245)	Prec@5 85.938 (81.731)
Epoch: [75][13190/14090]	Time 0.731 (0.762)	Data 0.001 (0.001)	Loss 1.9390 (1.8216)	Prec@1 47.656 (52.247)	Prec@5 78.906 (81.733)
Epoch: [75][13200/14090]	Time 0.773 (0.762)	Data 0.001 (0.001)	Loss 1.6441 (1.8216)	Prec@1 55.469 (52.247)	Prec@5 83.594 (81.733)
Epoch: [75][13210/14090]	Time 0.754 (0.762)	Data 0.001 (0.001)	Loss 1.5530 (1.8216)	Prec@1 55.469 (52.247)	Prec@5 88.281 (81.731)
Epoch: [75][13220/14090]	Time 0.748 (0.762)	Data 0.001 (0.001)	Loss 1.6553 (1.8216)	Prec@1 57.031 (52.247)	Prec@5 84.375 (81.732)
Epoch: [75][13230/14090]	Time 0.816 (0.762)	Data 0.001 (0.001)	Loss 1.8293 (1.8216)	Prec@1 52.344 (52.248)	Prec@5 84.375 (81.733)
Epoch: [75][13240/14090]	Time 0.748 (0.762)	Data 0.001 (0.001)	Loss 1.7858 (1.8216)	Prec@1 57.812 (52.249)	Prec@5 82.812 (81.733)
Epoch: [75][13250/14090]	Time 0.780 (0.762)	Data 0.001 (0.001)	Loss 1.7864 (1.8216)	Prec@1 56.250 (52.250)	Prec@5 82.812 (81.734)
Epoch: [75][13260/14090]	Time 0.733 (0.762)	Data 0.001 (0.001)	Loss 2.0384 (1.8216)	Prec@1 48.438 (52.250)	Prec@5 83.594 (81.734)
Epoch: [75][13270/14090]	Time 0.736 (0.762)	Data 0.003 (0.001)	Loss 1.9164 (1.8216)	Prec@1 51.562 (52.250)	Prec@5 80.469 (81.734)
Epoch: [75][13280/14090]	Time 0.754 (0.762)	Data 0.001 (0.001)	Loss 1.9201 (1.8217)	Prec@1 51.562 (52.250)	Prec@5 80.469 (81.735)
Epoch: [75][13290/14090]	Time 0.737 (0.762)	Data 0.001 (0.001)	Loss 1.5430 (1.8217)	Prec@1 60.156 (52.250)	Prec@5 85.156 (81.734)
Epoch: [75][13300/14090]	Time 0.823 (0.762)	Data 0.001 (0.001)	Loss 1.6367 (1.8217)	Prec@1 54.688 (52.249)	Prec@5 86.719 (81.734)
Epoch: [75][13310/14090]	Time 0.752 (0.762)	Data 0.001 (0.001)	Loss 1.5855 (1.8217)	Prec@1 54.688 (52.248)	Prec@5 89.062 (81.735)
Epoch: [75][13320/14090]	Time 0.781 (0.762)	Data 0.001 (0.001)	Loss 1.7274 (1.8216)	Prec@1 56.250 (52.249)	Prec@5 78.906 (81.736)
Epoch: [75][13330/14090]	Time 0.742 (0.762)	Data 0.002 (0.001)	Loss 1.7573 (1.8216)	Prec@1 52.344 (52.249)	Prec@5 82.031 (81.737)
Epoch: [75][13340/14090]	Time 0.728 (0.762)	Data 0.001 (0.001)	Loss 1.9637 (1.8216)	Prec@1 53.125 (52.249)	Prec@5 82.812 (81.737)
Epoch: [75][13350/14090]	Time 0.740 (0.762)	Data 0.001 (0.001)	Loss 2.0128 (1.8216)	Prec@1 45.312 (52.249)	Prec@5 78.906 (81.737)
Epoch: [75][13360/14090]	Time 0.738 (0.762)	Data 0.001 (0.001)	Loss 1.5964 (1.8215)	Prec@1 60.156 (52.251)	Prec@5 83.594 (81.738)
Epoch: [75][13370/14090]	Time 0.792 (0.762)	Data 0.001 (0.001)	Loss 1.6896 (1.8216)	Prec@1 54.688 (52.250)	Prec@5 86.719 (81.738)
Epoch: [75][13380/14090]	Time 0.747 (0.762)	Data 0.001 (0.001)	Loss 1.6927 (1.8216)	Prec@1 54.688 (52.252)	Prec@5 82.031 (81.738)
Epoch: [75][13390/14090]	Time 0.784 (0.762)	Data 0.001 (0.001)	Loss 1.7975 (1.8215)	Prec@1 53.906 (52.253)	Prec@5 82.812 (81.738)
Epoch: [75][13400/14090]	Time 0.742 (0.762)	Data 0.001 (0.001)	Loss 1.8471 (1.8215)	Prec@1 52.344 (52.252)	Prec@5 81.250 (81.738)
Epoch: [75][13410/14090]	Time 0.740 (0.762)	Data 0.002 (0.001)	Loss 1.9217 (1.8216)	Prec@1 53.906 (52.251)	Prec@5 78.125 (81.738)
Epoch: [75][13420/14090]	Time 0.764 (0.762)	Data 0.001 (0.001)	Loss 2.1375 (1.8217)	Prec@1 40.625 (52.248)	Prec@5 78.906 (81.736)
Epoch: [75][13430/14090]	Time 0.731 (0.762)	Data 0.001 (0.001)	Loss 1.8338 (1.8217)	Prec@1 42.969 (52.247)	Prec@5 82.031 (81.735)
Epoch: [75][13440/14090]	Time 0.790 (0.762)	Data 0.001 (0.001)	Loss 2.0656 (1.8217)	Prec@1 43.750 (52.248)	Prec@5 80.469 (81.737)
Epoch: [75][13450/14090]	Time 0.755 (0.762)	Data 0.001 (0.001)	Loss 1.6487 (1.8216)	Prec@1 62.500 (52.250)	Prec@5 86.719 (81.739)
Epoch: [75][13460/14090]	Time 0.774 (0.762)	Data 0.001 (0.001)	Loss 1.7654 (1.8216)	Prec@1 49.219 (52.251)	Prec@5 82.812 (81.739)
Epoch: [75][13470/14090]	Time 0.779 (0.762)	Data 0.001 (0.001)	Loss 1.8600 (1.8216)	Prec@1 46.875 (52.250)	Prec@5 81.250 (81.738)
Epoch: [75][13480/14090]	Time 0.777 (0.762)	Data 0.001 (0.001)	Loss 1.9573 (1.8216)	Prec@1 49.219 (52.251)	Prec@5 78.906 (81.739)
Epoch: [75][13490/14090]	Time 0.759 (0.762)	Data 0.001 (0.001)	Loss 1.9185 (1.8217)	Prec@1 52.344 (52.250)	Prec@5 82.031 (81.739)
Epoch: [75][13500/14090]	Time 0.774 (0.762)	Data 0.001 (0.001)	Loss 1.8955 (1.8216)	Prec@1 49.219 (52.249)	Prec@5 81.250 (81.739)
Epoch: [75][13510/14090]	Time 0.847 (0.762)	Data 0.001 (0.001)	Loss 2.1673 (1.8217)	Prec@1 41.406 (52.250)	Prec@5 73.438 (81.739)
Epoch: [75][13520/14090]	Time 0.767 (0.762)	Data 0.001 (0.001)	Loss 1.8306 (1.8217)	Prec@1 57.031 (52.250)	Prec@5 78.906 (81.739)
Epoch: [75][13530/14090]	Time 0.772 (0.762)	Data 0.001 (0.001)	Loss 1.5125 (1.8217)	Prec@1 57.812 (52.250)	Prec@5 85.938 (81.739)
Epoch: [75][13540/14090]	Time 0.755 (0.762)	Data 0.001 (0.001)	Loss 2.0678 (1.8217)	Prec@1 53.125 (52.249)	Prec@5 75.781 (81.737)
Epoch: [75][13550/14090]	Time 0.777 (0.762)	Data 0.001 (0.001)	Loss 1.6166 (1.8217)	Prec@1 58.594 (52.248)	Prec@5 82.031 (81.737)
Epoch: [75][13560/14090]	Time 0.739 (0.762)	Data 0.001 (0.001)	Loss 1.8378 (1.8217)	Prec@1 47.656 (52.248)	Prec@5 83.594 (81.738)
Epoch: [75][13570/14090]	Time 0.736 (0.762)	Data 0.001 (0.001)	Loss 1.9165 (1.8218)	Prec@1 43.750 (52.245)	Prec@5 76.562 (81.736)
Epoch: [75][13580/14090]	Time 0.805 (0.762)	Data 0.001 (0.001)	Loss 1.8184 (1.8218)	Prec@1 53.906 (52.245)	Prec@5 80.469 (81.736)
Epoch: [75][13590/14090]	Time 0.737 (0.762)	Data 0.001 (0.001)	Loss 1.8476 (1.8218)	Prec@1 53.125 (52.246)	Prec@5 84.375 (81.737)
Epoch: [75][13600/14090]	Time 0.741 (0.762)	Data 0.001 (0.001)	Loss 1.5842 (1.8218)	Prec@1 60.938 (52.246)	Prec@5 85.156 (81.738)
Epoch: [75][13610/14090]	Time 0.758 (0.762)	Data 0.001 (0.001)	Loss 1.8366 (1.8218)	Prec@1 58.594 (52.246)	Prec@5 78.906 (81.737)
Epoch: [75][13620/14090]	Time 0.809 (0.762)	Data 0.001 (0.001)	Loss 1.9182 (1.8218)	Prec@1 50.000 (52.245)	Prec@5 81.250 (81.736)
Epoch: [75][13630/14090]	Time 0.751 (0.762)	Data 0.001 (0.001)	Loss 1.8529 (1.8218)	Prec@1 46.875 (52.245)	Prec@5 85.938 (81.736)
Epoch: [75][13640/14090]	Time 0.780 (0.762)	Data 0.001 (0.001)	Loss 1.9523 (1.8219)	Prec@1 46.875 (52.243)	Prec@5 81.250 (81.736)
Epoch: [75][13650/14090]	Time 0.820 (0.762)	Data 0.003 (0.001)	Loss 2.0253 (1.8220)	Prec@1 51.562 (52.242)	Prec@5 82.031 (81.735)
Epoch: [75][13660/14090]	Time 0.726 (0.762)	Data 0.001 (0.001)	Loss 1.7588 (1.8220)	Prec@1 47.656 (52.241)	Prec@5 82.031 (81.735)
Epoch: [75][13670/14090]	Time 0.775 (0.762)	Data 0.001 (0.001)	Loss 2.0787 (1.8221)	Prec@1 45.312 (52.239)	Prec@5 75.000 (81.732)
Epoch: [75][13680/14090]	Time 0.783 (0.762)	Data 0.002 (0.001)	Loss 1.7853 (1.8221)	Prec@1 53.125 (52.240)	Prec@5 81.250 (81.732)
Epoch: [75][13690/14090]	Time 0.759 (0.762)	Data 0.001 (0.001)	Loss 1.7520 (1.8221)	Prec@1 55.469 (52.240)	Prec@5 82.812 (81.731)
Epoch: [75][13700/14090]	Time 0.768 (0.762)	Data 0.001 (0.001)	Loss 1.7264 (1.8221)	Prec@1 51.562 (52.240)	Prec@5 83.594 (81.731)
Epoch: [75][13710/14090]	Time 0.730 (0.762)	Data 0.001 (0.001)	Loss 1.7780 (1.8220)	Prec@1 47.656 (52.241)	Prec@5 85.938 (81.731)
Epoch: [75][13720/14090]	Time 0.825 (0.762)	Data 0.001 (0.001)	Loss 1.8850 (1.8221)	Prec@1 51.562 (52.241)	Prec@5 80.469 (81.730)
Epoch: [75][13730/14090]	Time 0.747 (0.762)	Data 0.001 (0.001)	Loss 1.9173 (1.8221)	Prec@1 53.125 (52.240)	Prec@5 80.469 (81.729)
Epoch: [75][13740/14090]	Time 0.758 (0.762)	Data 0.001 (0.001)	Loss 1.7281 (1.8221)	Prec@1 55.469 (52.240)	Prec@5 79.688 (81.728)
Epoch: [75][13750/14090]	Time 0.790 (0.762)	Data 0.001 (0.001)	Loss 1.7523 (1.8221)	Prec@1 58.594 (52.241)	Prec@5 83.594 (81.728)
Epoch: [75][13760/14090]	Time 0.768 (0.762)	Data 0.001 (0.001)	Loss 1.7493 (1.8221)	Prec@1 57.031 (52.241)	Prec@5 80.469 (81.729)
Epoch: [75][13770/14090]	Time 0.765 (0.762)	Data 0.001 (0.001)	Loss 1.8919 (1.8221)	Prec@1 53.125 (52.241)	Prec@5 78.906 (81.729)
Epoch: [75][13780/14090]	Time 0.768 (0.762)	Data 0.001 (0.001)	Loss 1.9532 (1.8221)	Prec@1 52.344 (52.242)	Prec@5 82.812 (81.730)
Epoch: [75][13790/14090]	Time 0.851 (0.762)	Data 0.001 (0.001)	Loss 1.9938 (1.8221)	Prec@1 50.000 (52.241)	Prec@5 81.250 (81.729)
Epoch: [75][13800/14090]	Time 0.761 (0.762)	Data 0.001 (0.001)	Loss 1.7610 (1.8222)	Prec@1 57.031 (52.240)	Prec@5 82.031 (81.728)
Epoch: [75][13810/14090]	Time 0.787 (0.762)	Data 0.001 (0.001)	Loss 1.9882 (1.8222)	Prec@1 53.906 (52.241)	Prec@5 78.125 (81.727)
Epoch: [75][13820/14090]	Time 0.778 (0.762)	Data 0.001 (0.001)	Loss 1.7648 (1.8222)	Prec@1 53.125 (52.241)	Prec@5 84.375 (81.727)
Epoch: [75][13830/14090]	Time 0.774 (0.762)	Data 0.001 (0.001)	Loss 1.8903 (1.8222)	Prec@1 54.688 (52.241)	Prec@5 80.469 (81.726)
Epoch: [75][13840/14090]	Time 0.757 (0.762)	Data 0.001 (0.001)	Loss 2.1974 (1.8223)	Prec@1 46.875 (52.240)	Prec@5 74.219 (81.726)
Epoch: [75][13850/14090]	Time 0.729 (0.762)	Data 0.001 (0.001)	Loss 1.9579 (1.8223)	Prec@1 46.875 (52.239)	Prec@5 77.344 (81.724)
Epoch: [75][13860/14090]	Time 0.782 (0.762)	Data 0.001 (0.001)	Loss 1.8249 (1.8224)	Prec@1 53.125 (52.239)	Prec@5 85.156 (81.723)
Epoch: [75][13870/14090]	Time 0.731 (0.762)	Data 0.001 (0.001)	Loss 1.9160 (1.8224)	Prec@1 52.344 (52.238)	Prec@5 80.469 (81.723)
Epoch: [75][13880/14090]	Time 0.749 (0.762)	Data 0.001 (0.001)	Loss 1.7385 (1.8224)	Prec@1 53.125 (52.237)	Prec@5 82.812 (81.722)
Epoch: [75][13890/14090]	Time 0.746 (0.762)	Data 0.001 (0.001)	Loss 1.7961 (1.8223)	Prec@1 50.000 (52.239)	Prec@5 84.375 (81.723)
Epoch: [75][13900/14090]	Time 0.765 (0.762)	Data 0.001 (0.001)	Loss 2.3164 (1.8224)	Prec@1 39.062 (52.237)	Prec@5 70.312 (81.721)
Epoch: [75][13910/14090]	Time 0.762 (0.762)	Data 0.001 (0.001)	Loss 1.9262 (1.8224)	Prec@1 58.594 (52.237)	Prec@5 78.125 (81.722)
Epoch: [75][13920/14090]	Time 0.747 (0.762)	Data 0.001 (0.001)	Loss 1.8248 (1.8224)	Prec@1 52.344 (52.235)	Prec@5 82.812 (81.723)
Epoch: [75][13930/14090]	Time 0.808 (0.762)	Data 0.001 (0.001)	Loss 1.8407 (1.8224)	Prec@1 51.562 (52.235)	Prec@5 81.250 (81.723)
Epoch: [75][13940/14090]	Time 0.775 (0.762)	Data 0.001 (0.001)	Loss 2.0812 (1.8224)	Prec@1 47.656 (52.235)	Prec@5 74.219 (81.724)
Epoch: [75][13950/14090]	Time 0.793 (0.762)	Data 0.001 (0.001)	Loss 1.8070 (1.8224)	Prec@1 53.906 (52.236)	Prec@5 84.375 (81.725)
Epoch: [75][13960/14090]	Time 0.786 (0.762)	Data 0.001 (0.001)	Loss 1.7885 (1.8224)	Prec@1 49.219 (52.235)	Prec@5 85.938 (81.725)
Epoch: [75][13970/14090]	Time 0.793 (0.762)	Data 0.001 (0.001)	Loss 1.7541 (1.8224)	Prec@1 55.469 (52.234)	Prec@5 85.156 (81.725)
Epoch: [75][13980/14090]	Time 0.748 (0.762)	Data 0.001 (0.001)	Loss 1.6280 (1.8225)	Prec@1 60.156 (52.232)	Prec@5 86.719 (81.724)
Epoch: [75][13990/14090]	Time 0.763 (0.762)	Data 0.001 (0.001)	Loss 1.5395 (1.8225)	Prec@1 59.375 (52.232)	Prec@5 86.719 (81.724)
Epoch: [75][14000/14090]	Time 0.793 (0.762)	Data 0.001 (0.001)	Loss 1.9272 (1.8226)	Prec@1 49.219 (52.231)	Prec@5 75.781 (81.722)
Epoch: [75][14010/14090]	Time 0.760 (0.762)	Data 0.001 (0.001)	Loss 1.9729 (1.8226)	Prec@1 51.562 (52.231)	Prec@5 81.250 (81.722)
Epoch: [75][14020/14090]	Time 0.748 (0.762)	Data 0.001 (0.001)	Loss 1.6305 (1.8225)	Prec@1 55.469 (52.231)	Prec@5 85.156 (81.722)
Epoch: [75][14030/14090]	Time 0.759 (0.762)	Data 0.001 (0.001)	Loss 1.7079 (1.8226)	Prec@1 56.250 (52.230)	Prec@5 82.031 (81.722)
Epoch: [75][14040/14090]	Time 0.774 (0.762)	Data 0.001 (0.001)	Loss 1.7919 (1.8226)	Prec@1 51.562 (52.229)	Prec@5 82.031 (81.722)
Epoch: [75][14050/14090]	Time 0.778 (0.762)	Data 0.001 (0.001)	Loss 1.9928 (1.8226)	Prec@1 47.656 (52.228)	Prec@5 75.000 (81.721)
Epoch: [75][14060/14090]	Time 0.786 (0.762)	Data 0.001 (0.001)	Loss 1.8147 (1.8226)	Prec@1 51.562 (52.229)	Prec@5 82.031 (81.722)
Epoch: [75][14070/14090]	Time 0.871 (0.762)	Data 0.001 (0.001)	Loss 1.8718 (1.8227)	Prec@1 53.125 (52.230)	Prec@5 82.812 (81.721)
Epoch: [75][14080/14090]	Time 0.787 (0.762)	Data 0.000 (0.001)	Loss 1.7318 (1.8227)	Prec@1 53.125 (52.230)	Prec@5 83.594 (81.721)
Test: [0/286]	Time 4.184 (4.184)	Loss 1.2893 (1.2893)	Prec@1 59.375 (59.375)	Prec@5 94.531 (94.531)
Test: [10/286]	Time 0.305 (0.695)	Loss 1.9091 (1.7830)	Prec@1 47.656 (54.688)	Prec@5 86.719 (84.588)
Test: [20/286]	Time 0.233 (0.521)	Loss 1.4381 (1.7465)	Prec@1 58.594 (54.092)	Prec@5 92.188 (85.231)
Test: [30/286]	Time 0.239 (0.461)	Loss 1.8898 (1.6488)	Prec@1 46.875 (56.930)	Prec@5 80.469 (85.761)
Test: [40/286]	Time 1.013 (0.453)	Loss 1.5701 (1.6716)	Prec@1 55.469 (56.250)	Prec@5 89.062 (85.747)
Test: [50/286]	Time 0.238 (0.432)	Loss 0.4438 (1.6582)	Prec@1 92.188 (56.311)	Prec@5 96.094 (85.846)
Test: [60/286]	Time 0.299 (0.418)	Loss 2.7436 (1.6904)	Prec@1 35.156 (55.648)	Prec@5 67.188 (84.644)
Test: [70/286]	Time 0.240 (0.405)	Loss 1.0352 (1.6626)	Prec@1 78.125 (56.272)	Prec@5 93.750 (85.035)
Test: [80/286]	Time 1.245 (0.410)	Loss 1.8886 (1.6944)	Prec@1 46.875 (55.218)	Prec@5 86.719 (84.896)
Test: [90/286]	Time 0.227 (0.403)	Loss 1.7925 (1.7088)	Prec@1 51.562 (54.988)	Prec@5 88.281 (84.718)
Test: [100/286]	Time 0.231 (0.397)	Loss 2.1606 (1.7196)	Prec@1 32.812 (54.278)	Prec@5 82.031 (84.731)
Test: [110/286]	Time 0.281 (0.392)	Loss 2.3225 (1.7388)	Prec@1 40.625 (53.878)	Prec@5 75.781 (84.628)
Test: [120/286]	Time 1.333 (0.398)	Loss 1.4845 (1.7241)	Prec@1 67.188 (54.313)	Prec@5 82.031 (84.840)
Test: [130/286]	Time 0.240 (0.393)	Loss 0.8862 (1.7130)	Prec@1 75.781 (54.688)	Prec@5 95.312 (84.959)
Test: [140/286]	Time 0.261 (0.388)	Loss 2.0897 (1.7015)	Prec@1 54.688 (54.992)	Prec@5 75.000 (85.062)
Test: [150/286]	Time 0.228 (0.385)	Loss 2.6507 (1.7134)	Prec@1 27.344 (54.491)	Prec@5 78.906 (84.965)
Test: [160/286]	Time 1.429 (0.388)	Loss 2.6081 (1.7079)	Prec@1 27.344 (54.629)	Prec@5 74.219 (85.006)
Test: [170/286]	Time 0.237 (0.385)	Loss 1.7982 (1.7029)	Prec@1 50.000 (54.674)	Prec@5 82.812 (85.120)
Test: [180/286]	Time 0.238 (0.382)	Loss 1.7506 (1.7123)	Prec@1 58.594 (54.489)	Prec@5 80.469 (85.022)
Test: [190/286]	Time 0.230 (0.379)	Loss 2.7938 (1.7342)	Prec@1 17.188 (53.959)	Prec@5 75.000 (84.788)
Test: [200/286]	Time 1.010 (0.381)	Loss 1.8030 (1.7302)	Prec@1 60.938 (54.073)	Prec@5 85.938 (84.803)
Test: [210/286]	Time 0.291 (0.379)	Loss 1.9216 (1.7341)	Prec@1 50.000 (53.899)	Prec@5 82.812 (84.775)
Test: [220/286]	Time 0.227 (0.378)	Loss 2.8300 (1.7390)	Prec@1 25.781 (53.850)	Prec@5 71.094 (84.594)
Test: [230/286]	Time 0.237 (0.376)	Loss 1.1033 (1.7381)	Prec@1 67.969 (53.835)	Prec@5 91.406 (84.595)
Test: [240/286]	Time 0.912 (0.377)	Loss 1.8654 (1.7348)	Prec@1 55.469 (54.016)	Prec@5 83.594 (84.625)
Test: [250/286]	Time 0.344 (0.377)	Loss 1.7495 (1.7246)	Prec@1 51.562 (54.165)	Prec@5 84.375 (84.820)
Test: [260/286]	Time 0.232 (0.376)	Loss 1.6569 (1.7148)	Prec@1 55.469 (54.481)	Prec@5 85.938 (84.977)
Test: [270/286]	Time 0.286 (0.375)	Loss 1.1212 (1.7149)	Prec@1 71.875 (54.489)	Prec@5 92.188 (84.983)
Test: [280/286]	Time 0.852 (0.375)	Loss 1.5862 (1.7009)	Prec@1 56.250 (54.949)	Prec@5 90.625 (85.117)
 * Prec@1 55.028 Prec@5 85.127
Epoch: [76][0/14090]	Time 5.279 (5.279)	Data 4.514 (4.514)	Loss 1.9581 (1.9581)	Prec@1 50.781 (50.781)	Prec@5 78.125 (78.125)
Epoch: [76][10/14090]	Time 0.724 (1.141)	Data 0.001 (0.411)	Loss 1.7297 (1.8675)	Prec@1 53.125 (49.716)	Prec@5 83.594 (80.114)
Epoch: [76][20/14090]	Time 0.730 (0.947)	Data 0.001 (0.216)	Loss 1.9993 (1.8364)	Prec@1 52.344 (51.786)	Prec@5 78.906 (80.990)
Epoch: [76][30/14090]	Time 0.725 (0.878)	Data 0.001 (0.146)	Loss 2.0235 (1.8226)	Prec@1 51.562 (51.890)	Prec@5 78.906 (81.174)
Epoch: [76][40/14090]	Time 0.748 (0.845)	Data 0.001 (0.111)	Loss 2.0293 (1.8431)	Prec@1 50.781 (51.848)	Prec@5 79.688 (81.059)
Epoch: [76][50/14090]	Time 0.753 (0.827)	Data 0.001 (0.089)	Loss 1.5618 (1.8387)	Prec@1 60.938 (51.915)	Prec@5 82.031 (81.081)
Epoch: [76][60/14090]	Time 0.752 (0.814)	Data 0.001 (0.075)	Loss 1.8737 (1.8400)	Prec@1 51.562 (51.806)	Prec@5 80.469 (81.122)
Epoch: [76][70/14090]	Time 0.727 (0.805)	Data 0.001 (0.064)	Loss 1.9097 (1.8420)	Prec@1 53.906 (51.816)	Prec@5 82.812 (81.074)
Epoch: [76][80/14090]	Time 0.772 (0.799)	Data 0.001 (0.057)	Loss 1.7196 (1.8362)	Prec@1 52.344 (51.890)	Prec@5 83.594 (81.250)
Epoch: [76][90/14090]	Time 0.742 (0.793)	Data 0.001 (0.050)	Loss 1.8180 (1.8270)	Prec@1 53.125 (52.232)	Prec@5 81.250 (81.241)
Epoch: [76][100/14090]	Time 0.734 (0.789)	Data 0.001 (0.046)	Loss 1.9505 (1.8327)	Prec@1 50.781 (52.150)	Prec@5 82.812 (81.250)
Epoch: [76][110/14090]	Time 0.742 (0.786)	Data 0.001 (0.041)	Loss 1.5434 (1.8289)	Prec@1 58.594 (52.302)	Prec@5 87.500 (81.334)
Epoch: [76][120/14090]	Time 0.741 (0.784)	Data 0.001 (0.038)	Loss 1.7613 (1.8247)	Prec@1 50.000 (52.376)	Prec@5 84.375 (81.450)
Epoch: [76][130/14090]	Time 0.747 (0.782)	Data 0.001 (0.035)	Loss 1.6992 (1.8315)	Prec@1 53.906 (52.063)	Prec@5 85.938 (81.387)
Epoch: [76][140/14090]	Time 0.751 (0.779)	Data 0.001 (0.033)	Loss 1.7464 (1.8294)	Prec@1 56.250 (52.022)	Prec@5 81.250 (81.433)
Epoch: [76][150/14090]	Time 0.761 (0.778)	Data 0.001 (0.031)	Loss 1.8946 (1.8313)	Prec@1 52.344 (52.038)	Prec@5 77.344 (81.359)
Epoch: [76][160/14090]	Time 0.775 (0.777)	Data 0.001 (0.029)	Loss 1.7691 (1.8265)	Prec@1 52.344 (52.067)	Prec@5 82.031 (81.478)
Epoch: [76][170/14090]	Time 0.736 (0.775)	Data 0.001 (0.027)	Loss 1.7826 (1.8298)	Prec@1 56.250 (52.120)	Prec@5 82.031 (81.405)
Epoch: [76][180/14090]	Time 0.772 (0.775)	Data 0.001 (0.026)	Loss 1.6834 (1.8237)	Prec@1 57.031 (52.326)	Prec@5 81.250 (81.526)
Epoch: [76][190/14090]	Time 0.761 (0.774)	Data 0.001 (0.024)	Loss 1.9823 (1.8231)	Prec@1 43.750 (52.274)	Prec@5 77.344 (81.520)
Epoch: [76][200/14090]	Time 0.778 (0.772)	Data 0.001 (0.023)	Loss 2.0844 (1.8191)	Prec@1 45.312 (52.274)	Prec@5 78.125 (81.549)
Epoch: [76][210/14090]	Time 0.767 (0.772)	Data 0.001 (0.022)	Loss 1.8973 (1.8170)	Prec@1 50.781 (52.355)	Prec@5 80.469 (81.576)
Epoch: [76][220/14090]	Time 0.775 (0.771)	Data 0.001 (0.021)	Loss 1.9383 (1.8160)	Prec@1 53.125 (52.386)	Prec@5 76.562 (81.561)
Epoch: [76][230/14090]	Time 0.765 (0.770)	Data 0.001 (0.020)	Loss 1.7287 (1.8128)	Prec@1 50.781 (52.462)	Prec@5 89.062 (81.629)
Epoch: [76][240/14090]	Time 0.749 (0.770)	Data 0.001 (0.020)	Loss 2.0861 (1.8144)	Prec@1 44.531 (52.396)	Prec@5 80.469 (81.629)
Epoch: [76][250/14090]	Time 0.756 (0.769)	Data 0.001 (0.019)	Loss 1.7698 (1.8103)	Prec@1 49.219 (52.499)	Prec@5 83.594 (81.701)
Epoch: [76][260/14090]	Time 0.731 (0.768)	Data 0.001 (0.018)	Loss 1.7589 (1.8075)	Prec@1 52.344 (52.535)	Prec@5 83.594 (81.738)
Epoch: [76][270/14090]	Time 0.781 (0.768)	Data 0.001 (0.018)	Loss 2.1968 (1.8073)	Prec@1 40.625 (52.520)	Prec@5 71.094 (81.746)
Epoch: [76][280/14090]	Time 0.748 (0.768)	Data 0.001 (0.017)	Loss 2.0706 (1.8070)	Prec@1 50.000 (52.544)	Prec@5 78.125 (81.723)
Epoch: [76][290/14090]	Time 0.737 (0.767)	Data 0.001 (0.016)	Loss 1.7361 (1.8064)	Prec@1 51.562 (52.532)	Prec@5 85.938 (81.833)
Epoch: [76][300/14090]	Time 0.764 (0.767)	Data 0.001 (0.016)	Loss 2.0965 (1.8070)	Prec@1 50.000 (52.520)	Prec@5 78.906 (81.837)
Epoch: [76][310/14090]	Time 0.754 (0.767)	Data 0.001 (0.015)	Loss 1.5432 (1.8051)	Prec@1 58.594 (52.525)	Prec@5 88.281 (81.901)
Epoch: [76][320/14090]	Time 0.731 (0.766)	Data 0.001 (0.015)	Loss 1.6261 (1.8068)	Prec@1 59.375 (52.470)	Prec@5 84.375 (81.917)
Epoch: [76][330/14090]	Time 0.743 (0.766)	Data 0.001 (0.014)	Loss 1.5960 (1.8076)	Prec@1 60.156 (52.492)	Prec@5 82.812 (81.901)
Epoch: [76][340/14090]	Time 0.736 (0.765)	Data 0.001 (0.014)	Loss 1.6142 (1.8096)	Prec@1 60.156 (52.431)	Prec@5 85.938 (81.869)
Epoch: [76][350/14090]	Time 0.744 (0.765)	Data 0.001 (0.014)	Loss 1.5549 (1.8075)	Prec@1 59.375 (52.495)	Prec@5 85.156 (81.884)
Epoch: [76][360/14090]	Time 0.749 (0.765)	Data 0.001 (0.013)	Loss 2.0256 (1.8097)	Prec@1 52.344 (52.463)	Prec@5 74.219 (81.852)
Epoch: [76][370/14090]	Time 0.756 (0.765)	Data 0.001 (0.013)	Loss 1.6752 (1.8103)	Prec@1 53.125 (52.441)	Prec@5 84.375 (81.819)
Epoch: [76][380/14090]	Time 0.773 (0.765)	Data 0.001 (0.013)	Loss 1.7875 (1.8089)	Prec@1 56.250 (52.489)	Prec@5 84.375 (81.847)
Epoch: [76][390/14090]	Time 0.774 (0.765)	Data 0.001 (0.012)	Loss 1.6370 (1.8085)	Prec@1 53.906 (52.490)	Prec@5 82.812 (81.815)
Epoch: [76][400/14090]	Time 0.739 (0.765)	Data 0.001 (0.012)	Loss 1.9647 (1.8078)	Prec@1 44.531 (52.461)	Prec@5 78.906 (81.827)
Epoch: [76][410/14090]	Time 0.754 (0.764)	Data 0.001 (0.012)	Loss 1.6716 (1.8058)	Prec@1 56.250 (52.488)	Prec@5 85.156 (81.862)
Epoch: [76][420/14090]	Time 0.741 (0.764)	Data 0.001 (0.012)	Loss 1.8902 (1.8071)	Prec@1 51.562 (52.446)	Prec@5 80.469 (81.836)
Epoch: [76][430/14090]	Time 0.778 (0.764)	Data 0.001 (0.011)	Loss 1.7112 (1.8067)	Prec@1 51.562 (52.447)	Prec@5 85.938 (81.857)
Epoch: [76][440/14090]	Time 0.772 (0.764)	Data 0.001 (0.011)	Loss 1.8342 (1.8071)	Prec@1 54.688 (52.438)	Prec@5 80.469 (81.856)
Epoch: [76][450/14090]	Time 0.753 (0.764)	Data 0.001 (0.011)	Loss 1.7549 (1.8064)	Prec@1 53.125 (52.453)	Prec@5 84.375 (81.867)
Epoch: [76][460/14090]	Time 0.742 (0.763)	Data 0.001 (0.011)	Loss 1.9941 (1.8072)	Prec@1 45.312 (52.408)	Prec@5 79.688 (81.863)
Epoch: [76][470/14090]	Time 0.741 (0.763)	Data 0.001 (0.010)	Loss 1.8532 (1.8068)	Prec@1 55.469 (52.447)	Prec@5 83.594 (81.855)
Epoch: [76][480/14090]	Time 0.758 (0.763)	Data 0.001 (0.010)	Loss 1.6728 (1.8063)	Prec@1 52.344 (52.466)	Prec@5 84.375 (81.879)
Epoch: [76][490/14090]	Time 0.799 (0.763)	Data 0.001 (0.010)	Loss 1.9523 (1.8078)	Prec@1 43.750 (52.442)	Prec@5 79.688 (81.855)
Epoch: [76][500/14090]	Time 0.744 (0.763)	Data 0.001 (0.010)	Loss 1.8397 (1.8072)	Prec@1 47.656 (52.486)	Prec@5 85.938 (81.885)
Epoch: [76][510/14090]	Time 0.736 (0.762)	Data 0.001 (0.010)	Loss 1.9096 (1.8073)	Prec@1 49.219 (52.495)	Prec@5 82.812 (81.871)
Epoch: [76][520/14090]	Time 0.754 (0.762)	Data 0.001 (0.010)	Loss 1.5773 (1.8076)	Prec@1 61.719 (52.471)	Prec@5 85.938 (81.875)
Epoch: [76][530/14090]	Time 0.751 (0.762)	Data 0.001 (0.009)	Loss 1.8383 (1.8073)	Prec@1 50.781 (52.469)	Prec@5 78.906 (81.875)
Epoch: [76][540/14090]	Time 0.761 (0.762)	Data 0.001 (0.009)	Loss 1.7846 (1.8082)	Prec@1 46.875 (52.455)	Prec@5 82.812 (81.832)
Epoch: [76][550/14090]	Time 0.781 (0.762)	Data 0.001 (0.009)	Loss 2.0059 (1.8106)	Prec@1 49.219 (52.426)	Prec@5 78.125 (81.799)
Epoch: [76][560/14090]	Time 0.744 (0.762)	Data 0.001 (0.009)	Loss 1.6925 (1.8107)	Prec@1 55.469 (52.433)	Prec@5 85.156 (81.817)
Epoch: [76][570/14090]	Time 0.758 (0.762)	Data 0.001 (0.009)	Loss 1.8542 (1.8101)	Prec@1 54.688 (52.459)	Prec@5 79.688 (81.834)
Epoch: [76][580/14090]	Time 0.729 (0.762)	Data 0.001 (0.009)	Loss 1.8028 (1.8114)	Prec@1 55.469 (52.442)	Prec@5 84.375 (81.830)
Epoch: [76][590/14090]	Time 0.780 (0.762)	Data 0.001 (0.009)	Loss 1.9421 (1.8114)	Prec@1 50.000 (52.434)	Prec@5 80.469 (81.814)
Epoch: [76][600/14090]	Time 0.748 (0.761)	Data 0.001 (0.008)	Loss 2.0229 (1.8116)	Prec@1 47.656 (52.405)	Prec@5 79.688 (81.804)
Epoch: [76][610/14090]	Time 0.726 (0.761)	Data 0.001 (0.008)	Loss 1.8652 (1.8116)	Prec@1 53.125 (52.409)	Prec@5 78.906 (81.796)
Epoch: [76][620/14090]	Time 0.740 (0.761)	Data 0.001 (0.008)	Loss 1.5853 (1.8115)	Prec@1 61.719 (52.426)	Prec@5 82.031 (81.782)
Epoch: [76][630/14090]	Time 0.771 (0.761)	Data 0.001 (0.008)	Loss 1.5651 (1.8116)	Prec@1 58.594 (52.428)	Prec@5 86.719 (81.779)
Epoch: [76][640/14090]	Time 0.752 (0.761)	Data 0.001 (0.008)	Loss 1.8020 (1.8112)	Prec@1 55.469 (52.451)	Prec@5 81.250 (81.761)
Epoch: [76][650/14090]	Time 0.761 (0.761)	Data 0.001 (0.008)	Loss 1.8562 (1.8115)	Prec@1 53.125 (52.481)	Prec@5 79.688 (81.759)
Epoch: [76][660/14090]	Time 0.762 (0.761)	Data 0.001 (0.008)	Loss 1.9289 (1.8096)	Prec@1 49.219 (52.520)	Prec@5 80.469 (81.780)
Epoch: [76][670/14090]	Time 0.775 (0.761)	Data 0.001 (0.008)	Loss 1.8455 (1.8092)	Prec@1 51.562 (52.560)	Prec@5 82.031 (81.775)
Epoch: [76][680/14090]	Time 0.786 (0.761)	Data 0.001 (0.008)	Loss 1.6300 (1.8086)	Prec@1 57.812 (52.562)	Prec@5 83.594 (81.790)
Epoch: [76][690/14090]	Time 0.798 (0.761)	Data 0.001 (0.007)	Loss 1.7811 (1.8081)	Prec@1 57.031 (52.565)	Prec@5 80.469 (81.802)
Epoch: [76][700/14090]	Time 0.763 (0.761)	Data 0.001 (0.007)	Loss 1.7692 (1.8082)	Prec@1 55.469 (52.560)	Prec@5 81.250 (81.815)
Epoch: [76][710/14090]	Time 0.752 (0.761)	Data 0.001 (0.007)	Loss 2.0356 (1.8087)	Prec@1 53.906 (52.555)	Prec@5 75.781 (81.792)
Epoch: [76][720/14090]	Time 0.737 (0.761)	Data 0.001 (0.007)	Loss 1.8866 (1.8100)	Prec@1 50.781 (52.546)	Prec@5 82.031 (81.756)
Epoch: [76][730/14090]	Time 0.755 (0.760)	Data 0.001 (0.007)	Loss 1.8991 (1.8106)	Prec@1 53.906 (52.532)	Prec@5 82.812 (81.744)
Epoch: [76][740/14090]	Time 0.821 (0.760)	Data 0.001 (0.007)	Loss 1.6341 (1.8102)	Prec@1 56.250 (52.543)	Prec@5 86.719 (81.756)
Epoch: [76][750/14090]	Time 0.743 (0.760)	Data 0.001 (0.007)	Loss 1.8692 (1.8096)	Prec@1 50.000 (52.554)	Prec@5 78.125 (81.757)
Epoch: [76][760/14090]	Time 0.738 (0.760)	Data 0.001 (0.007)	Loss 1.6603 (1.8086)	Prec@1 57.031 (52.569)	Prec@5 82.812 (81.776)
Epoch: [76][770/14090]	Time 0.747 (0.760)	Data 0.001 (0.007)	Loss 1.7121 (1.8101)	Prec@1 57.812 (52.548)	Prec@5 82.031 (81.754)
Epoch: [76][780/14090]	Time 0.781 (0.760)	Data 0.001 (0.007)	Loss 2.0368 (1.8103)	Prec@1 48.438 (52.540)	Prec@5 78.125 (81.759)
Epoch: [76][790/14090]	Time 0.775 (0.760)	Data 0.001 (0.007)	Loss 1.9918 (1.8124)	Prec@1 51.562 (52.539)	Prec@5 73.438 (81.719)
Epoch: [76][800/14090]	Time 0.778 (0.760)	Data 0.001 (0.007)	Loss 1.6724 (1.8121)	Prec@1 62.500 (52.552)	Prec@5 80.469 (81.722)
Epoch: [76][810/14090]	Time 0.749 (0.760)	Data 0.001 (0.006)	Loss 1.6346 (1.8124)	Prec@1 56.250 (52.553)	Prec@5 82.812 (81.698)
Epoch: [76][820/14090]	Time 0.730 (0.760)	Data 0.001 (0.006)	Loss 1.8947 (1.8126)	Prec@1 47.656 (52.537)	Prec@5 77.344 (81.693)
Epoch: [76][830/14090]	Time 0.772 (0.760)	Data 0.001 (0.006)	Loss 1.7940 (1.8125)	Prec@1 47.656 (52.533)	Prec@5 81.250 (81.691)
Epoch: [76][840/14090]	Time 0.746 (0.760)	Data 0.001 (0.006)	Loss 2.0811 (1.8128)	Prec@1 43.750 (52.515)	Prec@5 77.344 (81.688)
Epoch: [76][850/14090]	Time 0.743 (0.760)	Data 0.001 (0.006)	Loss 1.7306 (1.8127)	Prec@1 53.906 (52.515)	Prec@5 84.375 (81.679)
Epoch: [76][860/14090]	Time 0.781 (0.760)	Data 0.001 (0.006)	Loss 1.9750 (1.8122)	Prec@1 50.781 (52.532)	Prec@5 78.906 (81.693)
Epoch: [76][870/14090]	Time 0.758 (0.760)	Data 0.001 (0.006)	Loss 1.7175 (1.8117)	Prec@1 53.906 (52.547)	Prec@5 79.688 (81.692)
Epoch: [76][880/14090]	Time 0.750 (0.759)	Data 0.001 (0.006)	Loss 1.7602 (1.8120)	Prec@1 52.344 (52.554)	Prec@5 82.812 (81.673)
Epoch: [76][890/14090]	Time 0.773 (0.759)	Data 0.001 (0.006)	Loss 1.6595 (1.8118)	Prec@1 54.688 (52.557)	Prec@5 84.375 (81.675)
Epoch: [76][900/14090]	Time 0.763 (0.759)	Data 0.001 (0.006)	Loss 1.8494 (1.8123)	Prec@1 51.562 (52.547)	Prec@5 83.594 (81.669)
Epoch: [76][910/14090]	Time 0.774 (0.759)	Data 0.001 (0.006)	Loss 1.8777 (1.8127)	Prec@1 50.781 (52.536)	Prec@5 81.250 (81.659)
Epoch: [76][920/14090]	Time 0.764 (0.759)	Data 0.001 (0.006)	Loss 1.9701 (1.8128)	Prec@1 53.906 (52.520)	Prec@5 78.906 (81.667)
Epoch: [76][930/14090]	Time 0.776 (0.759)	Data 0.001 (0.006)	Loss 1.7246 (1.8126)	Prec@1 57.031 (52.523)	Prec@5 79.688 (81.666)
Epoch: [76][940/14090]	Time 0.771 (0.759)	Data 0.001 (0.006)	Loss 1.7623 (1.8131)	Prec@1 48.438 (52.510)	Prec@5 85.156 (81.667)
Epoch: [76][950/14090]	Time 0.728 (0.759)	Data 0.001 (0.006)	Loss 1.9575 (1.8127)	Prec@1 42.188 (52.507)	Prec@5 77.344 (81.667)
Epoch: [76][960/14090]	Time 0.776 (0.759)	Data 0.001 (0.006)	Loss 1.8556 (1.8130)	Prec@1 53.906 (52.512)	Prec@5 79.688 (81.667)
Epoch: [76][970/14090]	Time 0.785 (0.759)	Data 0.001 (0.006)	Loss 1.7028 (1.8127)	Prec@1 54.688 (52.513)	Prec@5 87.500 (81.681)
Epoch: [76][980/14090]	Time 0.751 (0.759)	Data 0.001 (0.005)	Loss 2.1097 (1.8131)	Prec@1 43.750 (52.499)	Prec@5 83.594 (81.692)
Epoch: [76][990/14090]	Time 0.769 (0.759)	Data 0.001 (0.005)	Loss 1.7826 (1.8134)	Prec@1 54.688 (52.498)	Prec@5 83.594 (81.695)
Epoch: [76][1000/14090]	Time 0.738 (0.759)	Data 0.001 (0.005)	Loss 1.6188 (1.8136)	Prec@1 60.938 (52.501)	Prec@5 85.938 (81.690)
Epoch: [76][1010/14090]	Time 0.768 (0.759)	Data 0.001 (0.005)	Loss 1.6434 (1.8127)	Prec@1 50.000 (52.520)	Prec@5 85.938 (81.711)
Epoch: [76][1020/14090]	Time 0.760 (0.759)	Data 0.001 (0.005)	Loss 1.8959 (1.8119)	Prec@1 50.000 (52.517)	Prec@5 80.469 (81.729)
Epoch: [76][1030/14090]	Time 0.777 (0.759)	Data 0.001 (0.005)	Loss 2.0010 (1.8116)	Prec@1 44.531 (52.504)	Prec@5 79.688 (81.745)
Epoch: [76][1040/14090]	Time 0.741 (0.759)	Data 0.001 (0.005)	Loss 2.0169 (1.8117)	Prec@1 47.656 (52.498)	Prec@5 79.688 (81.757)
Epoch: [76][1050/14090]	Time 0.756 (0.759)	Data 0.001 (0.005)	Loss 1.7646 (1.8115)	Prec@1 49.219 (52.494)	Prec@5 82.812 (81.754)
Epoch: [76][1060/14090]	Time 0.759 (0.759)	Data 0.001 (0.005)	Loss 1.8187 (1.8120)	Prec@1 52.344 (52.499)	Prec@5 81.250 (81.753)
Epoch: [76][1070/14090]	Time 0.734 (0.759)	Data 0.001 (0.005)	Loss 1.7945 (1.8117)	Prec@1 55.469 (52.514)	Prec@5 83.594 (81.760)
Epoch: [76][1080/14090]	Time 0.747 (0.759)	Data 0.001 (0.005)	Loss 1.9004 (1.8114)	Prec@1 46.094 (52.515)	Prec@5 80.469 (81.769)
Epoch: [76][1090/14090]	Time 0.746 (0.759)	Data 0.001 (0.005)	Loss 1.6438 (1.8109)	Prec@1 57.812 (52.541)	Prec@5 80.469 (81.764)
Epoch: [76][1100/14090]	Time 0.742 (0.759)	Data 0.001 (0.005)	Loss 1.8169 (1.8106)	Prec@1 51.562 (52.545)	Prec@5 80.469 (81.771)
Epoch: [76][1110/14090]	Time 0.781 (0.759)	Data 0.001 (0.005)	Loss 1.9756 (1.8110)	Prec@1 50.781 (52.534)	Prec@5 82.031 (81.765)
Epoch: [76][1120/14090]	Time 0.772 (0.759)	Data 0.001 (0.005)	Loss 2.0901 (1.8115)	Prec@1 47.656 (52.524)	Prec@5 78.906 (81.751)
Epoch: [76][1130/14090]	Time 0.764 (0.759)	Data 0.001 (0.005)	Loss 1.7866 (1.8110)	Prec@1 57.031 (52.544)	Prec@5 82.031 (81.763)
Epoch: [76][1140/14090]	Time 0.771 (0.759)	Data 0.001 (0.005)	Loss 1.8995 (1.8114)	Prec@1 44.531 (52.532)	Prec@5 80.469 (81.755)
Epoch: [76][1150/14090]	Time 0.736 (0.758)	Data 0.001 (0.005)	Loss 1.8886 (1.8113)	Prec@1 51.562 (52.525)	Prec@5 82.031 (81.758)
Epoch: [76][1160/14090]	Time 0.733 (0.758)	Data 0.001 (0.005)	Loss 1.9145 (1.8116)	Prec@1 45.312 (52.508)	Prec@5 81.250 (81.749)
Epoch: [76][1170/14090]	Time 0.733 (0.758)	Data 0.001 (0.005)	Loss 1.7685 (1.8120)	Prec@1 57.031 (52.507)	Prec@5 82.812 (81.743)
Epoch: [76][1180/14090]	Time 0.748 (0.758)	Data 0.001 (0.005)	Loss 1.8287 (1.8113)	Prec@1 53.906 (52.522)	Prec@5 80.469 (81.754)
Epoch: [76][1190/14090]	Time 0.745 (0.758)	Data 0.001 (0.005)	Loss 1.6288 (1.8106)	Prec@1 53.906 (52.537)	Prec@5 83.594 (81.770)
Epoch: [76][1200/14090]	Time 0.752 (0.758)	Data 0.001 (0.005)	Loss 1.4902 (1.8105)	Prec@1 57.031 (52.543)	Prec@5 92.969 (81.778)
Epoch: [76][1210/14090]	Time 0.740 (0.758)	Data 0.001 (0.005)	Loss 1.6432 (1.8103)	Prec@1 54.688 (52.539)	Prec@5 83.594 (81.778)
Epoch: [76][1220/14090]	Time 0.789 (0.758)	Data 0.001 (0.005)	Loss 1.7633 (1.8101)	Prec@1 58.594 (52.554)	Prec@5 83.594 (81.788)
Epoch: [76][1230/14090]	Time 0.731 (0.758)	Data 0.001 (0.005)	Loss 1.6633 (1.8094)	Prec@1 55.469 (52.568)	Prec@5 85.156 (81.799)
Epoch: [76][1240/14090]	Time 0.742 (0.758)	Data 0.001 (0.005)	Loss 1.7748 (1.8098)	Prec@1 56.250 (52.572)	Prec@5 85.156 (81.791)
Epoch: [76][1250/14090]	Time 0.747 (0.758)	Data 0.002 (0.004)	Loss 1.6501 (1.8098)	Prec@1 58.594 (52.573)	Prec@5 82.812 (81.790)
Epoch: [76][1260/14090]	Time 0.791 (0.758)	Data 0.001 (0.004)	Loss 1.6956 (1.8094)	Prec@1 53.906 (52.579)	Prec@5 85.156 (81.803)
Epoch: [76][1270/14090]	Time 0.775 (0.758)	Data 0.001 (0.004)	Loss 1.5789 (1.8082)	Prec@1 57.031 (52.594)	Prec@5 88.281 (81.830)
Epoch: [76][1280/14090]	Time 0.743 (0.758)	Data 0.001 (0.004)	Loss 1.8900 (1.8074)	Prec@1 55.469 (52.618)	Prec@5 80.469 (81.834)
Epoch: [76][1290/14090]	Time 0.792 (0.758)	Data 0.001 (0.004)	Loss 1.8834 (1.8080)	Prec@1 51.562 (52.598)	Prec@5 78.906 (81.823)
Epoch: [76][1300/14090]	Time 0.738 (0.758)	Data 0.001 (0.004)	Loss 1.4946 (1.8073)	Prec@1 61.719 (52.611)	Prec@5 86.719 (81.833)
Epoch: [76][1310/14090]	Time 0.736 (0.758)	Data 0.001 (0.004)	Loss 1.8208 (1.8073)	Prec@1 53.125 (52.601)	Prec@5 79.688 (81.834)
Epoch: [76][1320/14090]	Time 0.763 (0.758)	Data 0.003 (0.004)	Loss 1.8487 (1.8074)	Prec@1 54.688 (52.592)	Prec@5 84.375 (81.835)
Epoch: [76][1330/14090]	Time 0.731 (0.758)	Data 0.001 (0.004)	Loss 1.7784 (1.8071)	Prec@1 52.344 (52.599)	Prec@5 82.031 (81.843)
Epoch: [76][1340/14090]	Time 0.744 (0.758)	Data 0.001 (0.004)	Loss 1.9601 (1.8075)	Prec@1 48.438 (52.592)	Prec@5 81.250 (81.837)
Epoch: [76][1350/14090]	Time 0.724 (0.758)	Data 0.001 (0.004)	Loss 2.0221 (1.8077)	Prec@1 44.531 (52.584)	Prec@5 78.125 (81.832)
Epoch: [76][1360/14090]	Time 0.746 (0.758)	Data 0.001 (0.004)	Loss 1.8749 (1.8070)	Prec@1 53.906 (52.617)	Prec@5 83.594 (81.844)
Epoch: [76][1370/14090]	Time 0.751 (0.758)	Data 0.001 (0.004)	Loss 1.6103 (1.8065)	Prec@1 59.375 (52.639)	Prec@5 84.375 (81.856)
Epoch: [76][1380/14090]	Time 0.742 (0.758)	Data 0.001 (0.004)	Loss 2.0213 (1.8064)	Prec@1 46.875 (52.644)	Prec@5 76.562 (81.855)
Epoch: [76][1390/14090]	Time 0.752 (0.758)	Data 0.001 (0.004)	Loss 1.9586 (1.8062)	Prec@1 55.469 (52.654)	Prec@5 78.125 (81.860)
Epoch: [76][1400/14090]	Time 0.742 (0.758)	Data 0.001 (0.004)	Loss 1.8798 (1.8067)	Prec@1 50.000 (52.635)	Prec@5 82.031 (81.851)
Epoch: [76][1410/14090]	Time 0.757 (0.758)	Data 0.001 (0.004)	Loss 1.7711 (1.8064)	Prec@1 53.125 (52.652)	Prec@5 78.906 (81.851)
Epoch: [76][1420/14090]	Time 0.743 (0.758)	Data 0.001 (0.004)	Loss 2.1464 (1.8074)	Prec@1 47.656 (52.625)	Prec@5 78.906 (81.845)
Epoch: [76][1430/14090]	Time 0.755 (0.758)	Data 0.001 (0.004)	Loss 2.0049 (1.8080)	Prec@1 50.781 (52.613)	Prec@5 79.688 (81.835)
Epoch: [76][1440/14090]	Time 0.777 (0.758)	Data 0.001 (0.004)	Loss 1.8062 (1.8077)	Prec@1 50.000 (52.616)	Prec@5 85.156 (81.840)
Epoch: [76][1450/14090]	Time 0.743 (0.758)	Data 0.001 (0.004)	Loss 1.6021 (1.8074)	Prec@1 53.125 (52.619)	Prec@5 87.500 (81.840)
Epoch: [76][1460/14090]	Time 0.727 (0.758)	Data 0.001 (0.004)	Loss 1.5843 (1.8072)	Prec@1 53.906 (52.618)	Prec@5 83.594 (81.841)
Epoch: [76][1470/14090]	Time 0.733 (0.758)	Data 0.001 (0.004)	Loss 1.8067 (1.8068)	Prec@1 52.344 (52.628)	Prec@5 83.594 (81.852)
Epoch: [76][1480/14090]	Time 0.754 (0.757)	Data 0.002 (0.004)	Loss 1.8607 (1.8068)	Prec@1 53.125 (52.622)	Prec@5 79.688 (81.848)
Epoch: [76][1490/14090]	Time 0.756 (0.758)	Data 0.001 (0.004)	Loss 1.6639 (1.8070)	Prec@1 59.375 (52.605)	Prec@5 83.594 (81.838)
Epoch: [76][1500/14090]	Time 0.769 (0.758)	Data 0.001 (0.004)	Loss 1.7338 (1.8069)	Prec@1 55.469 (52.600)	Prec@5 82.812 (81.840)
Epoch: [76][1510/14090]	Time 0.735 (0.757)	Data 0.001 (0.004)	Loss 1.9444 (1.8072)	Prec@1 48.438 (52.586)	Prec@5 82.031 (81.840)
Epoch: [76][1520/14090]	Time 0.755 (0.757)	Data 0.001 (0.004)	Loss 1.7962 (1.8069)	Prec@1 50.000 (52.600)	Prec@5 81.250 (81.841)
Epoch: [76][1530/14090]	Time 0.736 (0.757)	Data 0.001 (0.004)	Loss 1.6780 (1.8068)	Prec@1 58.594 (52.614)	Prec@5 83.594 (81.841)
Epoch: [76][1540/14090]	Time 0.740 (0.757)	Data 0.001 (0.004)	Loss 1.5888 (1.8071)	Prec@1 58.594 (52.602)	Prec@5 84.375 (81.841)
Epoch: [76][1550/14090]	Time 0.762 (0.757)	Data 0.001 (0.004)	Loss 1.8458 (1.8068)	Prec@1 54.688 (52.605)	Prec@5 78.906 (81.852)
Epoch: [76][1560/14090]	Time 0.759 (0.757)	Data 0.001 (0.004)	Loss 1.8378 (1.8068)	Prec@1 55.469 (52.609)	Prec@5 85.156 (81.858)
Epoch: [76][1570/14090]	Time 0.740 (0.757)	Data 0.001 (0.004)	Loss 1.8767 (1.8070)	Prec@1 51.562 (52.608)	Prec@5 81.250 (81.855)
Epoch: [76][1580/14090]	Time 0.772 (0.757)	Data 0.001 (0.004)	Loss 2.0404 (1.8068)	Prec@1 46.094 (52.606)	Prec@5 78.125 (81.857)
Epoch: [76][1590/14090]	Time 0.767 (0.757)	Data 0.001 (0.004)	Loss 2.0404 (1.8074)	Prec@1 53.125 (52.591)	Prec@5 75.000 (81.846)
Epoch: [76][1600/14090]	Time 0.743 (0.757)	Data 0.001 (0.004)	Loss 1.9518 (1.8071)	Prec@1 52.344 (52.605)	Prec@5 78.906 (81.848)
Epoch: [76][1610/14090]	Time 0.780 (0.757)	Data 0.001 (0.004)	Loss 1.8544 (1.8069)	Prec@1 46.875 (52.603)	Prec@5 83.594 (81.844)
Epoch: [76][1620/14090]	Time 0.743 (0.757)	Data 0.001 (0.004)	Loss 2.0044 (1.8067)	Prec@1 50.000 (52.612)	Prec@5 80.469 (81.845)
Epoch: [76][1630/14090]	Time 0.773 (0.757)	Data 0.001 (0.004)	Loss 1.7934 (1.8065)	Prec@1 50.781 (52.621)	Prec@5 84.375 (81.852)
Epoch: [76][1640/14090]	Time 0.729 (0.757)	Data 0.001 (0.004)	Loss 1.7407 (1.8066)	Prec@1 56.250 (52.613)	Prec@5 78.906 (81.852)
Epoch: [76][1650/14090]	Time 0.732 (0.757)	Data 0.001 (0.004)	Loss 2.0918 (1.8068)	Prec@1 50.781 (52.614)	Prec@5 78.125 (81.844)
Epoch: [76][1660/14090]	Time 0.761 (0.757)	Data 0.001 (0.004)	Loss 1.8089 (1.8071)	Prec@1 54.688 (52.604)	Prec@5 82.031 (81.843)
Epoch: [76][1670/14090]	Time 0.742 (0.757)	Data 0.001 (0.004)	Loss 1.9432 (1.8075)	Prec@1 50.781 (52.599)	Prec@5 78.906 (81.833)
Epoch: [76][1680/14090]	Time 0.721 (0.757)	Data 0.001 (0.004)	Loss 1.6479 (1.8071)	Prec@1 52.344 (52.602)	Prec@5 84.375 (81.840)
Epoch: [76][1690/14090]	Time 0.749 (0.757)	Data 0.001 (0.004)	Loss 1.4895 (1.8067)	Prec@1 56.250 (52.604)	Prec@5 87.500 (81.849)
Epoch: [76][1700/14090]	Time 0.738 (0.757)	Data 0.001 (0.004)	Loss 1.7211 (1.8065)	Prec@1 55.469 (52.605)	Prec@5 82.812 (81.858)
Epoch: [76][1710/14090]	Time 0.736 (0.757)	Data 0.001 (0.004)	Loss 1.5551 (1.8068)	Prec@1 57.031 (52.600)	Prec@5 87.500 (81.850)
Epoch: [76][1720/14090]	Time 0.736 (0.757)	Data 0.001 (0.004)	Loss 1.5342 (1.8069)	Prec@1 59.375 (52.593)	Prec@5 87.500 (81.846)
Epoch: [76][1730/14090]	Time 0.753 (0.757)	Data 0.001 (0.003)	Loss 1.6040 (1.8069)	Prec@1 57.812 (52.592)	Prec@5 82.031 (81.844)
Epoch: [76][1740/14090]	Time 0.730 (0.757)	Data 0.001 (0.003)	Loss 2.0026 (1.8071)	Prec@1 49.219 (52.591)	Prec@5 74.219 (81.841)
Epoch: [76][1750/14090]	Time 0.736 (0.757)	Data 0.001 (0.003)	Loss 1.7875 (1.8069)	Prec@1 57.031 (52.599)	Prec@5 78.906 (81.838)
Epoch: [76][1760/14090]	Time 0.804 (0.757)	Data 0.001 (0.003)	Loss 1.5892 (1.8071)	Prec@1 59.375 (52.596)	Prec@5 83.594 (81.833)
Epoch: [76][1770/14090]	Time 0.757 (0.757)	Data 0.001 (0.003)	Loss 1.8820 (1.8072)	Prec@1 51.562 (52.594)	Prec@5 80.469 (81.825)
Epoch: [76][1780/14090]	Time 0.763 (0.757)	Data 0.001 (0.003)	Loss 1.7863 (1.8071)	Prec@1 55.469 (52.608)	Prec@5 81.250 (81.825)
Epoch: [76][1790/14090]	Time 0.731 (0.757)	Data 0.001 (0.003)	Loss 1.8414 (1.8076)	Prec@1 50.781 (52.597)	Prec@5 81.250 (81.822)
Epoch: [76][1800/14090]	Time 0.772 (0.757)	Data 0.001 (0.003)	Loss 1.7408 (1.8074)	Prec@1 59.375 (52.592)	Prec@5 82.031 (81.817)
Epoch: [76][1810/14090]	Time 0.752 (0.757)	Data 0.001 (0.003)	Loss 1.7274 (1.8072)	Prec@1 54.688 (52.595)	Prec@5 85.938 (81.824)
Epoch: [76][1820/14090]	Time 0.776 (0.757)	Data 0.001 (0.003)	Loss 1.9370 (1.8074)	Prec@1 53.125 (52.588)	Prec@5 73.438 (81.819)
Epoch: [76][1830/14090]	Time 0.735 (0.757)	Data 0.001 (0.003)	Loss 2.0392 (1.8073)	Prec@1 53.125 (52.592)	Prec@5 80.469 (81.825)
Epoch: [76][1840/14090]	Time 0.744 (0.757)	Data 0.001 (0.003)	Loss 1.6186 (1.8070)	Prec@1 60.156 (52.597)	Prec@5 82.031 (81.830)
Epoch: [76][1850/14090]	Time 0.747 (0.757)	Data 0.001 (0.003)	Loss 1.9942 (1.8068)	Prec@1 50.000 (52.599)	Prec@5 78.906 (81.831)
Epoch: [76][1860/14090]	Time 0.734 (0.757)	Data 0.001 (0.003)	Loss 1.8075 (1.8070)	Prec@1 57.812 (52.600)	Prec@5 78.125 (81.834)
Epoch: [76][1870/14090]	Time 0.754 (0.757)	Data 0.001 (0.003)	Loss 1.6567 (1.8068)	Prec@1 57.812 (52.608)	Prec@5 84.375 (81.830)
Epoch: [76][1880/14090]	Time 0.741 (0.757)	Data 0.001 (0.003)	Loss 1.7710 (1.8070)	Prec@1 58.594 (52.610)	Prec@5 82.031 (81.827)
Epoch: [76][1890/14090]	Time 0.775 (0.757)	Data 0.001 (0.003)	Loss 1.8146 (1.8066)	Prec@1 51.562 (52.619)	Prec@5 82.812 (81.837)
Epoch: [76][1900/14090]	Time 0.746 (0.757)	Data 0.001 (0.003)	Loss 1.8188 (1.8065)	Prec@1 50.000 (52.624)	Prec@5 85.938 (81.842)
Epoch: [76][1910/14090]	Time 0.750 (0.757)	Data 0.001 (0.003)	Loss 1.8105 (1.8065)	Prec@1 47.656 (52.616)	Prec@5 82.031 (81.844)
Epoch: [76][1920/14090]	Time 0.743 (0.757)	Data 0.001 (0.003)	Loss 1.9097 (1.8062)	Prec@1 49.219 (52.617)	Prec@5 81.250 (81.851)
Epoch: [76][1930/14090]	Time 0.749 (0.757)	Data 0.001 (0.003)	Loss 2.0135 (1.8060)	Prec@1 42.969 (52.614)	Prec@5 77.344 (81.853)
Epoch: [76][1940/14090]	Time 0.741 (0.757)	Data 0.001 (0.003)	Loss 1.8312 (1.8055)	Prec@1 51.562 (52.621)	Prec@5 82.812 (81.865)
Epoch: [76][1950/14090]	Time 0.736 (0.757)	Data 0.001 (0.003)	Loss 1.7583 (1.8052)	Prec@1 48.438 (52.621)	Prec@5 83.594 (81.870)
Epoch: [76][1960/14090]	Time 0.774 (0.757)	Data 0.001 (0.003)	Loss 2.2800 (1.8057)	Prec@1 37.500 (52.611)	Prec@5 78.125 (81.858)
Epoch: [76][1970/14090]	Time 0.745 (0.757)	Data 0.001 (0.003)	Loss 1.7023 (1.8054)	Prec@1 57.812 (52.614)	Prec@5 85.156 (81.865)
Epoch: [76][1980/14090]	Time 0.772 (0.757)	Data 0.001 (0.003)	Loss 1.7134 (1.8054)	Prec@1 54.688 (52.614)	Prec@5 83.594 (81.863)
Epoch: [76][1990/14090]	Time 0.748 (0.757)	Data 0.001 (0.003)	Loss 1.9825 (1.8057)	Prec@1 48.438 (52.608)	Prec@5 77.344 (81.856)
Epoch: [76][2000/14090]	Time 0.740 (0.757)	Data 0.001 (0.003)	Loss 1.8997 (1.8058)	Prec@1 47.656 (52.607)	Prec@5 79.688 (81.849)
Epoch: [76][2010/14090]	Time 0.733 (0.757)	Data 0.001 (0.003)	Loss 1.7587 (1.8059)	Prec@1 55.469 (52.607)	Prec@5 80.469 (81.842)
Epoch: [76][2020/14090]	Time 0.754 (0.757)	Data 0.001 (0.003)	Loss 2.0219 (1.8059)	Prec@1 43.750 (52.597)	Prec@5 77.344 (81.841)
Epoch: [76][2030/14090]	Time 0.736 (0.757)	Data 0.001 (0.003)	Loss 1.6865 (1.8060)	Prec@1 56.250 (52.596)	Prec@5 85.156 (81.841)
Epoch: [76][2040/14090]	Time 0.779 (0.757)	Data 0.001 (0.003)	Loss 1.8792 (1.8061)	Prec@1 51.562 (52.603)	Prec@5 85.156 (81.841)
Epoch: [76][2050/14090]	Time 0.775 (0.757)	Data 0.001 (0.003)	Loss 1.8040 (1.8062)	Prec@1 48.438 (52.592)	Prec@5 81.250 (81.842)
Epoch: [76][2060/14090]	Time 0.735 (0.757)	Data 0.001 (0.003)	Loss 1.8386 (1.8068)	Prec@1 53.125 (52.586)	Prec@5 82.031 (81.824)
Epoch: [76][2070/14090]	Time 0.751 (0.757)	Data 0.001 (0.003)	Loss 2.0396 (1.8068)	Prec@1 46.875 (52.584)	Prec@5 78.906 (81.825)
Epoch: [76][2080/14090]	Time 0.754 (0.757)	Data 0.001 (0.003)	Loss 1.9251 (1.8071)	Prec@1 50.000 (52.574)	Prec@5 83.594 (81.822)
Epoch: [76][2090/14090]	Time 0.777 (0.757)	Data 0.001 (0.003)	Loss 1.8433 (1.8071)	Prec@1 44.531 (52.569)	Prec@5 84.375 (81.821)
Epoch: [76][2100/14090]	Time 0.761 (0.757)	Data 0.001 (0.003)	Loss 1.9039 (1.8070)	Prec@1 49.219 (52.572)	Prec@5 78.906 (81.821)
Epoch: [76][2110/14090]	Time 0.751 (0.757)	Data 0.001 (0.003)	Loss 1.5252 (1.8069)	Prec@1 58.594 (52.572)	Prec@5 89.844 (81.828)
Epoch: [76][2120/14090]	Time 0.753 (0.757)	Data 0.001 (0.003)	Loss 1.8233 (1.8071)	Prec@1 54.688 (52.567)	Prec@5 82.031 (81.820)
Epoch: [76][2130/14090]	Time 0.745 (0.757)	Data 0.001 (0.003)	Loss 1.9047 (1.8072)	Prec@1 50.781 (52.560)	Prec@5 78.906 (81.819)
Epoch: [76][2140/14090]	Time 0.755 (0.757)	Data 0.001 (0.003)	Loss 1.6478 (1.8069)	Prec@1 60.156 (52.568)	Prec@5 83.594 (81.825)
Epoch: [76][2150/14090]	Time 0.754 (0.757)	Data 0.001 (0.003)	Loss 1.9669 (1.8071)	Prec@1 51.562 (52.562)	Prec@5 75.781 (81.819)
Epoch: [76][2160/14090]	Time 0.788 (0.757)	Data 0.001 (0.003)	Loss 1.7961 (1.8069)	Prec@1 50.781 (52.555)	Prec@5 82.031 (81.825)
Epoch: [76][2170/14090]	Time 0.761 (0.757)	Data 0.001 (0.003)	Loss 1.9392 (1.8066)	Prec@1 46.875 (52.548)	Prec@5 80.469 (81.826)
Epoch: [76][2180/14090]	Time 0.747 (0.757)	Data 0.001 (0.003)	Loss 1.6442 (1.8062)	Prec@1 51.562 (52.559)	Prec@5 88.281 (81.832)
Epoch: [76][2190/14090]	Time 0.746 (0.757)	Data 0.001 (0.003)	Loss 1.8724 (1.8060)	Prec@1 46.094 (52.562)	Prec@5 81.250 (81.840)
Epoch: [76][2200/14090]	Time 0.742 (0.757)	Data 0.001 (0.003)	Loss 1.8601 (1.8059)	Prec@1 49.219 (52.565)	Prec@5 80.469 (81.840)
Epoch: [76][2210/14090]	Time 0.774 (0.757)	Data 0.001 (0.003)	Loss 1.7867 (1.8061)	Prec@1 48.438 (52.555)	Prec@5 83.594 (81.845)
Epoch: [76][2220/14090]	Time 0.755 (0.757)	Data 0.001 (0.003)	Loss 1.7632 (1.8060)	Prec@1 57.031 (52.555)	Prec@5 77.344 (81.849)
Epoch: [76][2230/14090]	Time 0.719 (0.757)	Data 0.001 (0.003)	Loss 1.9671 (1.8064)	Prec@1 46.875 (52.545)	Prec@5 80.469 (81.846)
Epoch: [76][2240/14090]	Time 0.742 (0.757)	Data 0.001 (0.003)	Loss 1.7857 (1.8068)	Prec@1 50.781 (52.533)	Prec@5 82.812 (81.844)
Epoch: [76][2250/14090]	Time 0.744 (0.757)	Data 0.001 (0.003)	Loss 1.7938 (1.8069)	Prec@1 55.469 (52.535)	Prec@5 78.125 (81.840)
Epoch: [76][2260/14090]	Time 0.735 (0.757)	Data 0.001 (0.003)	Loss 1.8906 (1.8074)	Prec@1 49.219 (52.528)	Prec@5 82.812 (81.835)
Epoch: [76][2270/14090]	Time 0.735 (0.757)	Data 0.001 (0.003)	Loss 1.7067 (1.8074)	Prec@1 53.125 (52.522)	Prec@5 84.375 (81.832)
Epoch: [76][2280/14090]	Time 0.764 (0.757)	Data 0.001 (0.003)	Loss 1.8441 (1.8072)	Prec@1 56.250 (52.528)	Prec@5 81.250 (81.837)
Epoch: [76][2290/14090]	Time 0.775 (0.757)	Data 0.001 (0.003)	Loss 1.9019 (1.8073)	Prec@1 54.688 (52.528)	Prec@5 82.812 (81.837)
Epoch: [76][2300/14090]	Time 0.733 (0.757)	Data 0.001 (0.003)	Loss 1.9670 (1.8072)	Prec@1 52.344 (52.529)	Prec@5 84.375 (81.838)
Epoch: [76][2310/14090]	Time 0.729 (0.757)	Data 0.001 (0.003)	Loss 1.6447 (1.8071)	Prec@1 55.469 (52.538)	Prec@5 84.375 (81.841)
Epoch: [76][2320/14090]	Time 0.755 (0.757)	Data 0.001 (0.003)	Loss 1.8260 (1.8071)	Prec@1 49.219 (52.532)	Prec@5 81.250 (81.838)
Epoch: [76][2330/14090]	Time 0.727 (0.757)	Data 0.001 (0.003)	Loss 1.8190 (1.8074)	Prec@1 49.219 (52.522)	Prec@5 81.250 (81.832)
Epoch: [76][2340/14090]	Time 0.738 (0.757)	Data 0.001 (0.003)	Loss 1.9032 (1.8076)	Prec@1 50.781 (52.515)	Prec@5 80.469 (81.832)
Epoch: [76][2350/14090]	Time 0.780 (0.757)	Data 0.001 (0.003)	Loss 1.7023 (1.8078)	Prec@1 55.469 (52.515)	Prec@5 82.812 (81.832)
Epoch: [76][2360/14090]	Time 0.737 (0.757)	Data 0.001 (0.003)	Loss 1.8860 (1.8081)	Prec@1 54.688 (52.515)	Prec@5 79.688 (81.829)
Epoch: [76][2370/14090]	Time 0.735 (0.757)	Data 0.001 (0.003)	Loss 1.6832 (1.8081)	Prec@1 55.469 (52.517)	Prec@5 80.469 (81.828)
Epoch: [76][2380/14090]	Time 0.750 (0.757)	Data 0.001 (0.003)	Loss 1.9459 (1.8080)	Prec@1 53.125 (52.523)	Prec@5 79.688 (81.831)
Epoch: [76][2390/14090]	Time 0.777 (0.757)	Data 0.001 (0.003)	Loss 2.1844 (1.8082)	Prec@1 47.656 (52.525)	Prec@5 74.219 (81.826)
Epoch: [76][2400/14090]	Time 0.741 (0.756)	Data 0.001 (0.003)	Loss 1.8258 (1.8081)	Prec@1 53.906 (52.518)	Prec@5 85.156 (81.830)
Epoch: [76][2410/14090]	Time 0.762 (0.756)	Data 0.001 (0.003)	Loss 1.6605 (1.8079)	Prec@1 57.031 (52.522)	Prec@5 85.156 (81.836)
Epoch: [76][2420/14090]	Time 0.736 (0.756)	Data 0.001 (0.003)	Loss 1.8152 (1.8076)	Prec@1 57.812 (52.533)	Prec@5 81.250 (81.845)
Epoch: [76][2430/14090]	Time 0.782 (0.756)	Data 0.001 (0.003)	Loss 2.0003 (1.8076)	Prec@1 51.562 (52.537)	Prec@5 74.219 (81.844)
Epoch: [76][2440/14090]	Time 0.720 (0.756)	Data 0.001 (0.003)	Loss 1.8566 (1.8076)	Prec@1 46.094 (52.528)	Prec@5 83.594 (81.850)
Epoch: [76][2450/14090]	Time 0.750 (0.756)	Data 0.001 (0.003)	Loss 1.8147 (1.8076)	Prec@1 54.688 (52.525)	Prec@5 83.594 (81.854)
Epoch: [76][2460/14090]	Time 0.731 (0.756)	Data 0.001 (0.003)	Loss 1.9522 (1.8077)	Prec@1 46.094 (52.521)	Prec@5 81.250 (81.852)
Epoch: [76][2470/14090]	Time 0.759 (0.756)	Data 0.002 (0.003)	Loss 1.9012 (1.8082)	Prec@1 53.906 (52.517)	Prec@5 75.781 (81.841)
Epoch: [76][2480/14090]	Time 0.744 (0.756)	Data 0.001 (0.003)	Loss 1.7830 (1.8077)	Prec@1 51.562 (52.530)	Prec@5 78.906 (81.848)
Epoch: [76][2490/14090]	Time 0.744 (0.756)	Data 0.001 (0.003)	Loss 2.0141 (1.8076)	Prec@1 46.875 (52.532)	Prec@5 72.656 (81.847)
Epoch: [76][2500/14090]	Time 0.729 (0.756)	Data 0.001 (0.003)	Loss 1.3874 (1.8073)	Prec@1 61.719 (52.541)	Prec@5 90.625 (81.850)
Epoch: [76][2510/14090]	Time 0.743 (0.756)	Data 0.001 (0.003)	Loss 1.8362 (1.8074)	Prec@1 53.125 (52.539)	Prec@5 78.906 (81.850)
Epoch: [76][2520/14090]	Time 0.768 (0.756)	Data 0.001 (0.003)	Loss 1.7075 (1.8071)	Prec@1 57.812 (52.550)	Prec@5 82.031 (81.849)
Epoch: [76][2530/14090]	Time 0.731 (0.756)	Data 0.001 (0.003)	Loss 1.8926 (1.8070)	Prec@1 48.438 (52.547)	Prec@5 77.344 (81.859)
Epoch: [76][2540/14090]	Time 0.733 (0.756)	Data 0.001 (0.003)	Loss 1.7359 (1.8070)	Prec@1 53.906 (52.550)	Prec@5 79.688 (81.857)
Epoch: [76][2550/14090]	Time 0.734 (0.756)	Data 0.001 (0.003)	Loss 1.8700 (1.8067)	Prec@1 46.094 (52.558)	Prec@5 82.812 (81.861)
Epoch: [76][2560/14090]	Time 0.895 (0.756)	Data 0.001 (0.003)	Loss 2.0366 (1.8070)	Prec@1 40.625 (52.545)	Prec@5 78.906 (81.860)
Epoch: [76][2570/14090]	Time 0.742 (0.756)	Data 0.003 (0.003)	Loss 1.7427 (1.8068)	Prec@1 51.562 (52.552)	Prec@5 86.719 (81.864)
Epoch: [76][2580/14090]	Time 0.764 (0.756)	Data 0.001 (0.003)	Loss 2.1065 (1.8068)	Prec@1 40.625 (52.549)	Prec@5 78.906 (81.870)
Epoch: [76][2590/14090]	Time 0.785 (0.756)	Data 0.001 (0.003)	Loss 1.7642 (1.8068)	Prec@1 54.688 (52.548)	Prec@5 83.594 (81.872)
Epoch: [76][2600/14090]	Time 0.777 (0.756)	Data 0.001 (0.003)	Loss 1.4837 (1.8068)	Prec@1 57.031 (52.549)	Prec@5 89.062 (81.874)
Epoch: [76][2610/14090]	Time 0.728 (0.756)	Data 0.001 (0.003)	Loss 1.8607 (1.8066)	Prec@1 46.094 (52.549)	Prec@5 84.375 (81.877)
Epoch: [76][2620/14090]	Time 0.780 (0.756)	Data 0.001 (0.003)	Loss 2.2611 (1.8068)	Prec@1 45.312 (52.549)	Prec@5 72.656 (81.873)
Epoch: [76][2630/14090]	Time 0.777 (0.756)	Data 0.001 (0.003)	Loss 1.9789 (1.8068)	Prec@1 55.469 (52.550)	Prec@5 75.781 (81.871)
Epoch: [76][2640/14090]	Time 0.741 (0.756)	Data 0.001 (0.003)	Loss 1.7035 (1.8070)	Prec@1 56.250 (52.551)	Prec@5 80.469 (81.866)
Epoch: [76][2650/14090]	Time 0.766 (0.756)	Data 0.001 (0.003)	Loss 1.7611 (1.8070)	Prec@1 53.125 (52.555)	Prec@5 84.375 (81.869)
Epoch: [76][2660/14090]	Time 0.769 (0.756)	Data 0.001 (0.003)	Loss 1.7305 (1.8067)	Prec@1 55.469 (52.558)	Prec@5 82.812 (81.875)
Epoch: [76][2670/14090]	Time 0.774 (0.756)	Data 0.001 (0.003)	Loss 1.8246 (1.8071)	Prec@1 52.344 (52.548)	Prec@5 80.469 (81.870)
Epoch: [76][2680/14090]	Time 0.774 (0.756)	Data 0.001 (0.003)	Loss 1.9055 (1.8070)	Prec@1 46.875 (52.546)	Prec@5 81.250 (81.872)
Epoch: [76][2690/14090]	Time 0.748 (0.756)	Data 0.001 (0.003)	Loss 1.8068 (1.8070)	Prec@1 55.469 (52.548)	Prec@5 80.469 (81.867)
Epoch: [76][2700/14090]	Time 0.756 (0.756)	Data 0.001 (0.003)	Loss 1.8436 (1.8069)	Prec@1 55.469 (52.551)	Prec@5 84.375 (81.874)
Epoch: [76][2710/14090]	Time 0.779 (0.756)	Data 0.001 (0.003)	Loss 1.6728 (1.8068)	Prec@1 57.031 (52.551)	Prec@5 84.375 (81.878)
Epoch: [76][2720/14090]	Time 0.742 (0.756)	Data 0.001 (0.003)	Loss 1.7645 (1.8072)	Prec@1 51.562 (52.540)	Prec@5 83.594 (81.874)
Epoch: [76][2730/14090]	Time 0.751 (0.756)	Data 0.001 (0.003)	Loss 1.7711 (1.8070)	Prec@1 55.469 (52.543)	Prec@5 81.250 (81.874)
Epoch: [76][2740/14090]	Time 0.783 (0.756)	Data 0.001 (0.003)	Loss 2.2471 (1.8075)	Prec@1 43.750 (52.530)	Prec@5 73.438 (81.868)
Epoch: [76][2750/14090]	Time 0.752 (0.756)	Data 0.001 (0.003)	Loss 1.9250 (1.8076)	Prec@1 46.875 (52.533)	Prec@5 82.031 (81.869)
Epoch: [76][2760/14090]	Time 0.736 (0.756)	Data 0.001 (0.003)	Loss 1.6029 (1.8076)	Prec@1 56.250 (52.532)	Prec@5 86.719 (81.868)
Epoch: [76][2770/14090]	Time 0.765 (0.756)	Data 0.001 (0.003)	Loss 1.9289 (1.8074)	Prec@1 53.125 (52.534)	Prec@5 81.250 (81.872)
Epoch: [76][2780/14090]	Time 0.758 (0.756)	Data 0.001 (0.003)	Loss 1.9054 (1.8074)	Prec@1 51.562 (52.541)	Prec@5 82.031 (81.872)
Epoch: [76][2790/14090]	Time 0.737 (0.756)	Data 0.001 (0.002)	Loss 1.7384 (1.8076)	Prec@1 50.781 (52.536)	Prec@5 86.719 (81.869)
Epoch: [76][2800/14090]	Time 0.752 (0.756)	Data 0.001 (0.002)	Loss 1.8170 (1.8079)	Prec@1 56.250 (52.529)	Prec@5 82.812 (81.869)
Epoch: [76][2810/14090]	Time 0.739 (0.756)	Data 0.001 (0.002)	Loss 2.0669 (1.8081)	Prec@1 47.656 (52.525)	Prec@5 76.562 (81.865)
Epoch: [76][2820/14090]	Time 0.736 (0.756)	Data 0.001 (0.002)	Loss 1.7358 (1.8083)	Prec@1 57.031 (52.524)	Prec@5 83.594 (81.863)
Epoch: [76][2830/14090]	Time 0.739 (0.756)	Data 0.001 (0.002)	Loss 1.8204 (1.8084)	Prec@1 53.906 (52.522)	Prec@5 80.469 (81.859)
Epoch: [76][2840/14090]	Time 0.812 (0.756)	Data 0.001 (0.002)	Loss 1.5589 (1.8080)	Prec@1 60.938 (52.530)	Prec@5 86.719 (81.862)
Epoch: [76][2850/14090]	Time 0.759 (0.756)	Data 0.001 (0.002)	Loss 1.8603 (1.8080)	Prec@1 52.344 (52.532)	Prec@5 83.594 (81.866)
Epoch: [76][2860/14090]	Time 0.744 (0.756)	Data 0.001 (0.002)	Loss 1.6554 (1.8081)	Prec@1 59.375 (52.527)	Prec@5 84.375 (81.864)
Epoch: [76][2870/14090]	Time 0.748 (0.756)	Data 0.001 (0.002)	Loss 1.8068 (1.8081)	Prec@1 53.125 (52.529)	Prec@5 85.156 (81.863)
Epoch: [76][2880/14090]	Time 0.742 (0.756)	Data 0.001 (0.002)	Loss 1.7851 (1.8081)	Prec@1 49.219 (52.528)	Prec@5 85.156 (81.864)
Epoch: [76][2890/14090]	Time 0.743 (0.756)	Data 0.001 (0.002)	Loss 1.8066 (1.8079)	Prec@1 56.250 (52.535)	Prec@5 76.562 (81.865)
Epoch: [76][2900/14090]	Time 0.771 (0.756)	Data 0.001 (0.002)	Loss 1.7054 (1.8078)	Prec@1 54.688 (52.540)	Prec@5 85.156 (81.866)
Epoch: [76][2910/14090]	Time 0.759 (0.756)	Data 0.001 (0.002)	Loss 2.0126 (1.8078)	Prec@1 51.562 (52.542)	Prec@5 77.344 (81.869)
Epoch: [76][2920/14090]	Time 0.732 (0.756)	Data 0.001 (0.002)	Loss 1.4426 (1.8079)	Prec@1 59.375 (52.542)	Prec@5 89.844 (81.866)
Epoch: [76][2930/14090]	Time 0.773 (0.756)	Data 0.001 (0.002)	Loss 1.8909 (1.8080)	Prec@1 50.781 (52.543)	Prec@5 85.938 (81.866)
Epoch: [76][2940/14090]	Time 0.774 (0.756)	Data 0.001 (0.002)	Loss 1.7674 (1.8079)	Prec@1 47.656 (52.540)	Prec@5 81.250 (81.865)
Epoch: [76][2950/14090]	Time 0.746 (0.756)	Data 0.001 (0.002)	Loss 1.8723 (1.8079)	Prec@1 57.812 (52.540)	Prec@5 78.906 (81.867)
Epoch: [76][2960/14090]	Time 0.750 (0.756)	Data 0.001 (0.002)	Loss 1.6783 (1.8079)	Prec@1 59.375 (52.538)	Prec@5 83.594 (81.868)
Epoch: [76][2970/14090]	Time 0.735 (0.756)	Data 0.001 (0.002)	Loss 1.7865 (1.8081)	Prec@1 53.906 (52.534)	Prec@5 80.469 (81.867)
Epoch: [76][2980/14090]	Time 0.783 (0.756)	Data 0.001 (0.002)	Loss 1.9149 (1.8083)	Prec@1 49.219 (52.527)	Prec@5 78.906 (81.863)
Epoch: [76][2990/14090]	Time 0.758 (0.756)	Data 0.001 (0.002)	Loss 1.6287 (1.8081)	Prec@1 60.156 (52.534)	Prec@5 85.938 (81.866)
Epoch: [76][3000/14090]	Time 0.756 (0.756)	Data 0.001 (0.002)	Loss 1.6747 (1.8080)	Prec@1 57.031 (52.541)	Prec@5 82.812 (81.866)
Epoch: [76][3010/14090]	Time 0.744 (0.756)	Data 0.001 (0.002)	Loss 1.5667 (1.8076)	Prec@1 53.906 (52.554)	Prec@5 84.375 (81.870)
Epoch: [76][3020/14090]	Time 0.750 (0.756)	Data 0.001 (0.002)	Loss 1.5493 (1.8077)	Prec@1 56.250 (52.552)	Prec@5 86.719 (81.868)
Epoch: [76][3030/14090]	Time 0.781 (0.756)	Data 0.001 (0.002)	Loss 1.8635 (1.8077)	Prec@1 50.000 (52.554)	Prec@5 79.688 (81.871)
Epoch: [76][3040/14090]	Time 0.750 (0.756)	Data 0.001 (0.002)	Loss 1.5181 (1.8076)	Prec@1 61.719 (52.558)	Prec@5 84.375 (81.871)
Epoch: [76][3050/14090]	Time 0.765 (0.756)	Data 0.001 (0.002)	Loss 1.7729 (1.8075)	Prec@1 56.250 (52.560)	Prec@5 82.031 (81.873)
Epoch: [76][3060/14090]	Time 0.736 (0.756)	Data 0.001 (0.002)	Loss 1.9341 (1.8074)	Prec@1 42.969 (52.553)	Prec@5 82.812 (81.878)
Epoch: [76][3070/14090]	Time 0.785 (0.756)	Data 0.001 (0.002)	Loss 1.7223 (1.8076)	Prec@1 51.562 (52.550)	Prec@5 85.938 (81.879)
Epoch: [76][3080/14090]	Time 0.758 (0.756)	Data 0.001 (0.002)	Loss 1.6760 (1.8073)	Prec@1 53.906 (52.546)	Prec@5 83.594 (81.886)
Epoch: [76][3090/14090]	Time 0.740 (0.756)	Data 0.001 (0.002)	Loss 1.6936 (1.8076)	Prec@1 58.594 (52.545)	Prec@5 85.938 (81.885)
Epoch: [76][3100/14090]	Time 0.748 (0.756)	Data 0.001 (0.002)	Loss 1.7807 (1.8076)	Prec@1 54.688 (52.546)	Prec@5 81.250 (81.883)
Epoch: [76][3110/14090]	Time 0.760 (0.756)	Data 0.001 (0.002)	Loss 1.7953 (1.8075)	Prec@1 50.781 (52.546)	Prec@5 80.469 (81.884)
Epoch: [76][3120/14090]	Time 0.778 (0.756)	Data 0.001 (0.002)	Loss 1.6889 (1.8074)	Prec@1 57.812 (52.553)	Prec@5 83.594 (81.885)
Epoch: [76][3130/14090]	Time 0.786 (0.756)	Data 0.001 (0.002)	Loss 1.9167 (1.8076)	Prec@1 48.438 (52.545)	Prec@5 82.031 (81.882)
Epoch: [76][3140/14090]	Time 0.729 (0.756)	Data 0.001 (0.002)	Loss 1.6598 (1.8075)	Prec@1 53.125 (52.547)	Prec@5 86.719 (81.885)
Epoch: [76][3150/14090]	Time 0.737 (0.756)	Data 0.001 (0.002)	Loss 1.8623 (1.8075)	Prec@1 45.312 (52.547)	Prec@5 83.594 (81.887)
Epoch: [76][3160/14090]	Time 0.747 (0.756)	Data 0.001 (0.002)	Loss 1.8407 (1.8075)	Prec@1 50.000 (52.543)	Prec@5 78.906 (81.889)
Epoch: [76][3170/14090]	Time 0.752 (0.756)	Data 0.001 (0.002)	Loss 1.7858 (1.8075)	Prec@1 50.781 (52.539)	Prec@5 83.594 (81.887)
Epoch: [76][3180/14090]	Time 0.750 (0.756)	Data 0.001 (0.002)	Loss 1.6933 (1.8072)	Prec@1 54.688 (52.544)	Prec@5 82.031 (81.890)
Epoch: [76][3190/14090]	Time 0.754 (0.756)	Data 0.001 (0.002)	Loss 1.8995 (1.8073)	Prec@1 50.781 (52.543)	Prec@5 81.250 (81.889)
Epoch: [76][3200/14090]	Time 0.751 (0.756)	Data 0.001 (0.002)	Loss 1.7636 (1.8072)	Prec@1 50.781 (52.543)	Prec@5 83.594 (81.893)
Epoch: [76][3210/14090]	Time 0.747 (0.756)	Data 0.001 (0.002)	Loss 1.6655 (1.8070)	Prec@1 53.906 (52.542)	Prec@5 82.812 (81.896)
Epoch: [76][3220/14090]	Time 0.733 (0.756)	Data 0.001 (0.002)	Loss 1.7752 (1.8068)	Prec@1 56.250 (52.549)	Prec@5 81.250 (81.900)
Epoch: [76][3230/14090]	Time 0.774 (0.756)	Data 0.001 (0.002)	Loss 1.5654 (1.8068)	Prec@1 57.812 (52.546)	Prec@5 84.375 (81.902)
Epoch: [76][3240/14090]	Time 0.773 (0.756)	Data 0.001 (0.002)	Loss 1.7647 (1.8068)	Prec@1 49.219 (52.543)	Prec@5 80.469 (81.903)
Epoch: [76][3250/14090]	Time 0.772 (0.756)	Data 0.001 (0.002)	Loss 1.7250 (1.8070)	Prec@1 57.812 (52.539)	Prec@5 82.812 (81.900)
Epoch: [76][3260/14090]	Time 0.754 (0.756)	Data 0.001 (0.002)	Loss 1.8688 (1.8072)	Prec@1 56.250 (52.538)	Prec@5 79.688 (81.896)
Epoch: [76][3270/14090]	Time 0.749 (0.756)	Data 0.001 (0.002)	Loss 2.0019 (1.8073)	Prec@1 45.312 (52.534)	Prec@5 78.906 (81.894)
Epoch: [76][3280/14090]	Time 0.755 (0.756)	Data 0.001 (0.002)	Loss 1.6342 (1.8074)	Prec@1 55.469 (52.531)	Prec@5 84.375 (81.894)
Epoch: [76][3290/14090]	Time 0.738 (0.756)	Data 0.001 (0.002)	Loss 1.6979 (1.8077)	Prec@1 53.125 (52.526)	Prec@5 87.500 (81.891)
Epoch: [76][3300/14090]	Time 0.740 (0.756)	Data 0.001 (0.002)	Loss 1.7919 (1.8077)	Prec@1 52.344 (52.526)	Prec@5 84.375 (81.888)
Epoch: [76][3310/14090]	Time 0.732 (0.756)	Data 0.001 (0.002)	Loss 1.9912 (1.8077)	Prec@1 50.000 (52.528)	Prec@5 82.812 (81.889)
Epoch: [76][3320/14090]	Time 0.747 (0.756)	Data 0.001 (0.002)	Loss 1.9204 (1.8079)	Prec@1 51.562 (52.522)	Prec@5 76.562 (81.883)
Epoch: [76][3330/14090]	Time 0.766 (0.756)	Data 0.001 (0.002)	Loss 1.7715 (1.8079)	Prec@1 52.344 (52.523)	Prec@5 82.031 (81.887)
Epoch: [76][3340/14090]	Time 0.779 (0.756)	Data 0.001 (0.002)	Loss 1.7106 (1.8081)	Prec@1 55.469 (52.522)	Prec@5 84.375 (81.879)
Epoch: [76][3350/14090]	Time 0.750 (0.756)	Data 0.001 (0.002)	Loss 1.9508 (1.8080)	Prec@1 50.781 (52.526)	Prec@5 78.906 (81.881)
Epoch: [76][3360/14090]	Time 0.729 (0.756)	Data 0.001 (0.002)	Loss 1.8405 (1.8077)	Prec@1 54.688 (52.532)	Prec@5 82.031 (81.885)
Epoch: [76][3370/14090]	Time 0.749 (0.756)	Data 0.001 (0.002)	Loss 1.8837 (1.8076)	Prec@1 50.000 (52.531)	Prec@5 79.688 (81.888)
Epoch: [76][3380/14090]	Time 0.747 (0.756)	Data 0.001 (0.002)	Loss 1.6986 (1.8074)	Prec@1 57.031 (52.535)	Prec@5 84.375 (81.895)
Epoch: [76][3390/14090]	Time 0.764 (0.756)	Data 0.001 (0.002)	Loss 1.8873 (1.8075)	Prec@1 49.219 (52.539)	Prec@5 78.906 (81.888)
Epoch: [76][3400/14090]	Time 0.732 (0.756)	Data 0.001 (0.002)	Loss 1.8847 (1.8076)	Prec@1 47.656 (52.541)	Prec@5 82.031 (81.886)
Epoch: [76][3410/14090]	Time 0.731 (0.756)	Data 0.001 (0.002)	Loss 1.6687 (1.8077)	Prec@1 60.938 (52.538)	Prec@5 84.375 (81.887)
Epoch: [76][3420/14090]	Time 0.736 (0.756)	Data 0.001 (0.002)	Loss 1.6301 (1.8077)	Prec@1 57.812 (52.537)	Prec@5 85.938 (81.885)
Epoch: [76][3430/14090]	Time 0.743 (0.756)	Data 0.001 (0.002)	Loss 1.9164 (1.8078)	Prec@1 46.875 (52.535)	Prec@5 78.906 (81.882)
Epoch: [76][3440/14090]	Time 0.725 (0.756)	Data 0.001 (0.002)	Loss 1.9262 (1.8078)	Prec@1 51.562 (52.535)	Prec@5 80.469 (81.884)
Epoch: [76][3450/14090]	Time 0.737 (0.756)	Data 0.001 (0.002)	Loss 1.7161 (1.8080)	Prec@1 57.031 (52.530)	Prec@5 78.906 (81.880)
Epoch: [76][3460/14090]	Time 0.783 (0.756)	Data 0.001 (0.002)	Loss 1.8459 (1.8082)	Prec@1 50.000 (52.525)	Prec@5 82.812 (81.878)
Epoch: [76][3470/14090]	Time 0.739 (0.756)	Data 0.001 (0.002)	Loss 1.7325 (1.8083)	Prec@1 50.781 (52.523)	Prec@5 85.156 (81.880)
Epoch: [76][3480/14090]	Time 0.750 (0.756)	Data 0.001 (0.002)	Loss 1.7985 (1.8084)	Prec@1 50.000 (52.519)	Prec@5 78.906 (81.877)
Epoch: [76][3490/14090]	Time 0.732 (0.756)	Data 0.001 (0.002)	Loss 1.7529 (1.8085)	Prec@1 46.094 (52.517)	Prec@5 83.594 (81.871)
Epoch: [76][3500/14090]	Time 0.736 (0.756)	Data 0.001 (0.002)	Loss 1.7406 (1.8084)	Prec@1 56.250 (52.520)	Prec@5 83.594 (81.873)
Epoch: [76][3510/14090]	Time 0.751 (0.756)	Data 0.001 (0.002)	Loss 1.7355 (1.8085)	Prec@1 52.344 (52.516)	Prec@5 85.156 (81.871)
Epoch: [76][3520/14090]	Time 0.764 (0.756)	Data 0.001 (0.002)	Loss 2.1091 (1.8082)	Prec@1 47.656 (52.526)	Prec@5 74.219 (81.879)
Epoch: [76][3530/14090]	Time 0.749 (0.756)	Data 0.001 (0.002)	Loss 1.7416 (1.8082)	Prec@1 50.000 (52.523)	Prec@5 85.156 (81.877)
Epoch: [76][3540/14090]	Time 0.747 (0.756)	Data 0.001 (0.002)	Loss 1.6717 (1.8080)	Prec@1 55.469 (52.526)	Prec@5 88.281 (81.881)
Epoch: [76][3550/14090]	Time 0.772 (0.756)	Data 0.001 (0.002)	Loss 1.8259 (1.8081)	Prec@1 57.031 (52.531)	Prec@5 84.375 (81.881)
Epoch: [76][3560/14090]	Time 0.734 (0.756)	Data 0.001 (0.002)	Loss 1.9540 (1.8081)	Prec@1 47.656 (52.527)	Prec@5 79.688 (81.883)
Epoch: [76][3570/14090]	Time 0.744 (0.756)	Data 0.001 (0.002)	Loss 2.0124 (1.8082)	Prec@1 45.312 (52.524)	Prec@5 81.250 (81.885)
Epoch: [76][3580/14090]	Time 0.763 (0.756)	Data 0.001 (0.002)	Loss 1.6591 (1.8081)	Prec@1 53.906 (52.528)	Prec@5 85.938 (81.887)
Epoch: [76][3590/14090]	Time 0.739 (0.756)	Data 0.001 (0.002)	Loss 1.8442 (1.8080)	Prec@1 51.562 (52.532)	Prec@5 85.156 (81.886)
Epoch: [76][3600/14090]	Time 0.735 (0.756)	Data 0.001 (0.002)	Loss 1.7785 (1.8082)	Prec@1 55.469 (52.529)	Prec@5 85.156 (81.887)
Epoch: [76][3610/14090]	Time 0.733 (0.756)	Data 0.001 (0.002)	Loss 1.8933 (1.8080)	Prec@1 46.094 (52.532)	Prec@5 83.594 (81.892)
Epoch: [76][3620/14090]	Time 0.764 (0.756)	Data 0.001 (0.002)	Loss 1.8968 (1.8079)	Prec@1 50.000 (52.536)	Prec@5 76.562 (81.891)
Epoch: [76][3630/14090]	Time 0.749 (0.756)	Data 0.001 (0.002)	Loss 1.7266 (1.8077)	Prec@1 53.906 (52.538)	Prec@5 83.594 (81.895)
Epoch: [76][3640/14090]	Time 0.732 (0.756)	Data 0.001 (0.002)	Loss 1.9384 (1.8075)	Prec@1 54.688 (52.541)	Prec@5 78.125 (81.898)
Epoch: [76][3650/14090]	Time 0.787 (0.756)	Data 0.001 (0.002)	Loss 1.8784 (1.8077)	Prec@1 53.125 (52.541)	Prec@5 84.375 (81.897)
Epoch: [76][3660/14090]	Time 0.767 (0.756)	Data 0.001 (0.002)	Loss 2.1479 (1.8079)	Prec@1 40.625 (52.534)	Prec@5 81.250 (81.894)
Epoch: [76][3670/14090]	Time 0.749 (0.756)	Data 0.001 (0.002)	Loss 2.0179 (1.8079)	Prec@1 51.562 (52.527)	Prec@5 78.906 (81.895)
Epoch: [76][3680/14090]	Time 0.824 (0.756)	Data 0.001 (0.002)	Loss 1.9212 (1.8079)	Prec@1 57.031 (52.530)	Prec@5 78.125 (81.898)
Epoch: [76][3690/14090]	Time 0.781 (0.756)	Data 0.001 (0.002)	Loss 1.5185 (1.8079)	Prec@1 64.062 (52.534)	Prec@5 86.719 (81.896)
Epoch: [76][3700/14090]	Time 0.735 (0.756)	Data 0.001 (0.002)	Loss 1.9649 (1.8080)	Prec@1 51.562 (52.534)	Prec@5 78.125 (81.894)
Epoch: [76][3710/14090]	Time 0.753 (0.756)	Data 0.001 (0.002)	Loss 1.6046 (1.8079)	Prec@1 52.344 (52.535)	Prec@5 85.938 (81.897)
Epoch: [76][3720/14090]	Time 0.755 (0.756)	Data 0.001 (0.002)	Loss 2.0421 (1.8081)	Prec@1 47.656 (52.527)	Prec@5 77.344 (81.892)
Epoch: [76][3730/14090]	Time 0.779 (0.756)	Data 0.001 (0.002)	Loss 1.5918 (1.8079)	Prec@1 53.906 (52.532)	Prec@5 85.938 (81.895)
Epoch: [76][3740/14090]	Time 0.765 (0.756)	Data 0.001 (0.002)	Loss 2.0447 (1.8080)	Prec@1 50.781 (52.530)	Prec@5 76.562 (81.894)
Epoch: [76][3750/14090]	Time 0.730 (0.756)	Data 0.001 (0.002)	Loss 1.6642 (1.8079)	Prec@1 56.250 (52.534)	Prec@5 82.812 (81.898)
Epoch: [76][3760/14090]	Time 0.777 (0.756)	Data 0.001 (0.002)	Loss 1.8715 (1.8081)	Prec@1 51.562 (52.530)	Prec@5 82.031 (81.895)
Epoch: [76][3770/14090]	Time 0.773 (0.756)	Data 0.001 (0.002)	Loss 1.7204 (1.8080)	Prec@1 56.250 (52.532)	Prec@5 82.031 (81.897)
Epoch: [76][3780/14090]	Time 0.775 (0.756)	Data 0.001 (0.002)	Loss 1.9771 (1.8081)	Prec@1 42.188 (52.531)	Prec@5 82.031 (81.897)
Epoch: [76][3790/14090]	Time 0.726 (0.756)	Data 0.001 (0.002)	Loss 1.8629 (1.8082)	Prec@1 50.781 (52.530)	Prec@5 82.812 (81.898)
Epoch: [76][3800/14090]	Time 0.741 (0.756)	Data 0.001 (0.002)	Loss 1.4998 (1.8082)	Prec@1 60.938 (52.534)	Prec@5 92.188 (81.902)
Epoch: [76][3810/14090]	Time 0.746 (0.756)	Data 0.001 (0.002)	Loss 1.7121 (1.8079)	Prec@1 54.688 (52.539)	Prec@5 85.938 (81.910)
Epoch: [76][3820/14090]	Time 0.754 (0.756)	Data 0.001 (0.002)	Loss 1.8068 (1.8079)	Prec@1 53.125 (52.542)	Prec@5 80.469 (81.912)
Epoch: [76][3830/14090]	Time 0.759 (0.756)	Data 0.001 (0.002)	Loss 1.9469 (1.8079)	Prec@1 46.875 (52.539)	Prec@5 82.812 (81.912)
Epoch: [76][3840/14090]	Time 0.754 (0.756)	Data 0.001 (0.002)	Loss 1.5782 (1.8079)	Prec@1 58.594 (52.541)	Prec@5 87.500 (81.910)
Epoch: [76][3850/14090]	Time 0.782 (0.756)	Data 0.002 (0.002)	Loss 1.8568 (1.8080)	Prec@1 50.000 (52.538)	Prec@5 81.250 (81.908)
Epoch: [76][3860/14090]	Time 0.776 (0.756)	Data 0.001 (0.002)	Loss 1.9074 (1.8080)	Prec@1 52.344 (52.534)	Prec@5 78.906 (81.906)
Epoch: [76][3870/14090]	Time 0.740 (0.756)	Data 0.002 (0.002)	Loss 1.9449 (1.8082)	Prec@1 46.094 (52.532)	Prec@5 79.688 (81.904)
Epoch: [76][3880/14090]	Time 0.737 (0.756)	Data 0.001 (0.002)	Loss 1.5871 (1.8083)	Prec@1 57.812 (52.527)	Prec@5 85.938 (81.900)
Epoch: [76][3890/14090]	Time 0.759 (0.756)	Data 0.001 (0.002)	Loss 1.6794 (1.8083)	Prec@1 49.219 (52.525)	Prec@5 82.812 (81.897)
Epoch: [76][3900/14090]	Time 0.760 (0.756)	Data 0.001 (0.002)	Loss 1.7617 (1.8084)	Prec@1 51.562 (52.525)	Prec@5 82.031 (81.896)
Epoch: [76][3910/14090]	Time 0.775 (0.756)	Data 0.001 (0.002)	Loss 1.9371 (1.8085)	Prec@1 50.781 (52.523)	Prec@5 78.125 (81.894)
Epoch: [76][3920/14090]	Time 0.742 (0.756)	Data 0.001 (0.002)	Loss 1.3730 (1.8083)	Prec@1 60.938 (52.525)	Prec@5 88.281 (81.894)
Epoch: [76][3930/14090]	Time 0.779 (0.756)	Data 0.001 (0.002)	Loss 1.7660 (1.8085)	Prec@1 52.344 (52.519)	Prec@5 80.469 (81.890)
Epoch: [76][3940/14090]	Time 0.733 (0.756)	Data 0.001 (0.002)	Loss 1.7648 (1.8084)	Prec@1 56.250 (52.525)	Prec@5 82.812 (81.891)
Epoch: [76][3950/14090]	Time 0.742 (0.756)	Data 0.001 (0.002)	Loss 1.7989 (1.8083)	Prec@1 58.594 (52.531)	Prec@5 82.812 (81.891)
Epoch: [76][3960/14090]	Time 0.730 (0.756)	Data 0.001 (0.002)	Loss 1.6530 (1.8079)	Prec@1 54.688 (52.537)	Prec@5 83.594 (81.901)
Epoch: [76][3970/14090]	Time 0.730 (0.756)	Data 0.001 (0.002)	Loss 1.7611 (1.8081)	Prec@1 55.469 (52.534)	Prec@5 82.031 (81.897)
Epoch: [76][3980/14090]	Time 0.745 (0.756)	Data 0.001 (0.002)	Loss 1.6701 (1.8080)	Prec@1 60.156 (52.538)	Prec@5 80.469 (81.902)
Epoch: [76][3990/14090]	Time 0.777 (0.756)	Data 0.001 (0.002)	Loss 1.8112 (1.8080)	Prec@1 49.219 (52.540)	Prec@5 82.031 (81.901)
Epoch: [76][4000/14090]	Time 0.767 (0.756)	Data 0.001 (0.002)	Loss 1.6798 (1.8081)	Prec@1 58.594 (52.537)	Prec@5 83.594 (81.898)
Epoch: [76][4010/14090]	Time 0.746 (0.756)	Data 0.001 (0.002)	Loss 1.6010 (1.8082)	Prec@1 53.125 (52.533)	Prec@5 81.250 (81.897)
Epoch: [76][4020/14090]	Time 0.731 (0.756)	Data 0.001 (0.002)	Loss 2.0173 (1.8084)	Prec@1 42.188 (52.529)	Prec@5 80.469 (81.894)
Epoch: [76][4030/14090]	Time 0.741 (0.756)	Data 0.001 (0.002)	Loss 1.6606 (1.8086)	Prec@1 54.688 (52.525)	Prec@5 82.812 (81.890)
Epoch: [76][4040/14090]	Time 0.775 (0.756)	Data 0.001 (0.002)	Loss 2.2043 (1.8086)	Prec@1 42.188 (52.523)	Prec@5 75.781 (81.892)
Epoch: [76][4050/14090]	Time 0.770 (0.756)	Data 0.001 (0.002)	Loss 1.8978 (1.8084)	Prec@1 50.000 (52.519)	Prec@5 83.594 (81.897)
Epoch: [76][4060/14090]	Time 0.775 (0.756)	Data 0.001 (0.002)	Loss 1.7790 (1.8084)	Prec@1 50.000 (52.517)	Prec@5 83.594 (81.896)
Epoch: [76][4070/14090]	Time 0.782 (0.756)	Data 0.001 (0.002)	Loss 1.6795 (1.8084)	Prec@1 55.469 (52.524)	Prec@5 84.375 (81.897)
Epoch: [76][4080/14090]	Time 0.730 (0.756)	Data 0.001 (0.002)	Loss 1.6207 (1.8087)	Prec@1 58.594 (52.519)	Prec@5 83.594 (81.894)
Epoch: [76][4090/14090]	Time 0.750 (0.755)	Data 0.001 (0.002)	Loss 1.7244 (1.8088)	Prec@1 47.656 (52.522)	Prec@5 82.031 (81.890)
Epoch: [76][4100/14090]	Time 0.776 (0.755)	Data 0.001 (0.002)	Loss 1.7647 (1.8087)	Prec@1 57.812 (52.522)	Prec@5 78.906 (81.894)
Epoch: [76][4110/14090]	Time 0.752 (0.755)	Data 0.002 (0.002)	Loss 1.8216 (1.8087)	Prec@1 51.562 (52.518)	Prec@5 80.469 (81.894)
Epoch: [76][4120/14090]	Time 0.750 (0.755)	Data 0.001 (0.002)	Loss 1.7295 (1.8086)	Prec@1 54.688 (52.520)	Prec@5 81.250 (81.895)
Epoch: [76][4130/14090]	Time 0.742 (0.756)	Data 0.001 (0.002)	Loss 1.8357 (1.8088)	Prec@1 53.906 (52.516)	Prec@5 80.469 (81.891)
Epoch: [76][4140/14090]	Time 0.780 (0.756)	Data 0.001 (0.002)	Loss 2.0164 (1.8089)	Prec@1 46.875 (52.517)	Prec@5 78.906 (81.889)
Epoch: [76][4150/14090]	Time 0.734 (0.755)	Data 0.001 (0.002)	Loss 1.8308 (1.8089)	Prec@1 53.906 (52.517)	Prec@5 81.250 (81.888)
Epoch: [76][4160/14090]	Time 0.737 (0.755)	Data 0.001 (0.002)	Loss 1.8911 (1.8090)	Prec@1 52.344 (52.513)	Prec@5 81.250 (81.888)
Epoch: [76][4170/14090]	Time 0.825 (0.756)	Data 0.001 (0.002)	Loss 1.8225 (1.8090)	Prec@1 57.031 (52.510)	Prec@5 78.125 (81.889)
Epoch: [76][4180/14090]	Time 0.752 (0.756)	Data 0.001 (0.002)	Loss 1.3823 (1.8090)	Prec@1 63.281 (52.512)	Prec@5 88.281 (81.893)
Epoch: [76][4190/14090]	Time 0.731 (0.755)	Data 0.001 (0.002)	Loss 1.8774 (1.8090)	Prec@1 52.344 (52.515)	Prec@5 82.031 (81.895)
Epoch: [76][4200/14090]	Time 0.733 (0.755)	Data 0.001 (0.002)	Loss 1.9350 (1.8091)	Prec@1 47.656 (52.509)	Prec@5 75.781 (81.893)
Epoch: [76][4210/14090]	Time 0.786 (0.755)	Data 0.001 (0.002)	Loss 1.8443 (1.8093)	Prec@1 47.656 (52.506)	Prec@5 79.688 (81.888)
Epoch: [76][4220/14090]	Time 0.779 (0.755)	Data 0.001 (0.002)	Loss 1.8541 (1.8094)	Prec@1 47.656 (52.509)	Prec@5 83.594 (81.889)
Epoch: [76][4230/14090]	Time 0.760 (0.755)	Data 0.001 (0.002)	Loss 1.4918 (1.8091)	Prec@1 60.156 (52.513)	Prec@5 85.156 (81.892)
Epoch: [76][4240/14090]	Time 0.741 (0.755)	Data 0.001 (0.002)	Loss 1.7389 (1.8091)	Prec@1 52.344 (52.510)	Prec@5 83.594 (81.894)
Epoch: [76][4250/14090]	Time 0.729 (0.755)	Data 0.001 (0.002)	Loss 1.9439 (1.8091)	Prec@1 43.750 (52.513)	Prec@5 79.688 (81.894)
Epoch: [76][4260/14090]	Time 0.775 (0.755)	Data 0.001 (0.002)	Loss 1.7035 (1.8091)	Prec@1 52.344 (52.515)	Prec@5 85.156 (81.895)
Epoch: [76][4270/14090]	Time 0.742 (0.755)	Data 0.001 (0.002)	Loss 1.8523 (1.8092)	Prec@1 51.562 (52.511)	Prec@5 81.250 (81.897)
Epoch: [76][4280/14090]	Time 0.781 (0.755)	Data 0.001 (0.002)	Loss 2.1522 (1.8093)	Prec@1 42.188 (52.511)	Prec@5 73.438 (81.893)
Epoch: [76][4290/14090]	Time 0.770 (0.756)	Data 0.001 (0.002)	Loss 1.6895 (1.8095)	Prec@1 54.688 (52.507)	Prec@5 87.500 (81.892)
Epoch: [76][4300/14090]	Time 0.744 (0.755)	Data 0.001 (0.002)	Loss 1.7462 (1.8094)	Prec@1 55.469 (52.511)	Prec@5 85.156 (81.892)
Epoch: [76][4310/14090]	Time 0.743 (0.755)	Data 0.001 (0.002)	Loss 1.5235 (1.8092)	Prec@1 53.125 (52.511)	Prec@5 88.281 (81.896)
Epoch: [76][4320/14090]	Time 0.742 (0.755)	Data 0.001 (0.002)	Loss 1.6609 (1.8091)	Prec@1 57.031 (52.516)	Prec@5 84.375 (81.896)
Epoch: [76][4330/14090]	Time 0.730 (0.755)	Data 0.001 (0.002)	Loss 2.0830 (1.8092)	Prec@1 43.750 (52.514)	Prec@5 78.125 (81.895)
Epoch: [76][4340/14090]	Time 0.754 (0.755)	Data 0.001 (0.002)	Loss 1.7166 (1.8091)	Prec@1 54.688 (52.512)	Prec@5 85.156 (81.901)
Epoch: [76][4350/14090]	Time 0.775 (0.755)	Data 0.001 (0.002)	Loss 2.0114 (1.8090)	Prec@1 50.781 (52.514)	Prec@5 78.125 (81.903)
Epoch: [76][4360/14090]	Time 0.763 (0.755)	Data 0.001 (0.002)	Loss 1.6295 (1.8089)	Prec@1 57.812 (52.516)	Prec@5 82.031 (81.902)
Epoch: [76][4370/14090]	Time 0.760 (0.755)	Data 0.001 (0.002)	Loss 1.6372 (1.8090)	Prec@1 56.250 (52.514)	Prec@5 82.031 (81.901)
Epoch: [76][4380/14090]	Time 0.747 (0.755)	Data 0.001 (0.002)	Loss 1.8525 (1.8091)	Prec@1 50.781 (52.513)	Prec@5 74.219 (81.897)
Epoch: [76][4390/14090]	Time 0.748 (0.755)	Data 0.001 (0.002)	Loss 1.6609 (1.8094)	Prec@1 58.594 (52.509)	Prec@5 82.812 (81.892)
Epoch: [76][4400/14090]	Time 0.746 (0.755)	Data 0.001 (0.002)	Loss 1.7487 (1.8093)	Prec@1 51.562 (52.512)	Prec@5 82.812 (81.893)
Epoch: [76][4410/14090]	Time 0.743 (0.755)	Data 0.001 (0.002)	Loss 1.8357 (1.8094)	Prec@1 47.656 (52.509)	Prec@5 81.250 (81.892)
Epoch: [76][4420/14090]	Time 0.752 (0.755)	Data 0.001 (0.002)	Loss 1.7319 (1.8093)	Prec@1 50.781 (52.509)	Prec@5 78.125 (81.893)
Epoch: [76][4430/14090]	Time 0.743 (0.755)	Data 0.001 (0.002)	Loss 1.6573 (1.8094)	Prec@1 56.250 (52.505)	Prec@5 84.375 (81.891)
Epoch: [76][4440/14090]	Time 0.735 (0.756)	Data 0.001 (0.002)	Loss 1.8319 (1.8094)	Prec@1 50.781 (52.504)	Prec@5 82.031 (81.891)
Epoch: [76][4450/14090]	Time 0.729 (0.755)	Data 0.001 (0.002)	Loss 1.7918 (1.8095)	Prec@1 54.688 (52.502)	Prec@5 80.469 (81.887)
Epoch: [76][4460/14090]	Time 0.743 (0.755)	Data 0.001 (0.002)	Loss 1.8729 (1.8094)	Prec@1 54.688 (52.510)	Prec@5 82.031 (81.887)
Epoch: [76][4470/14090]	Time 0.739 (0.756)	Data 0.001 (0.002)	Loss 1.9271 (1.8096)	Prec@1 42.969 (52.503)	Prec@5 80.469 (81.884)
Epoch: [76][4480/14090]	Time 0.741 (0.756)	Data 0.001 (0.002)	Loss 1.7269 (1.8095)	Prec@1 53.906 (52.505)	Prec@5 82.812 (81.884)
Epoch: [76][4490/14090]	Time 0.749 (0.756)	Data 0.001 (0.002)	Loss 1.9460 (1.8096)	Prec@1 50.781 (52.503)	Prec@5 79.688 (81.882)
Epoch: [76][4500/14090]	Time 0.724 (0.756)	Data 0.001 (0.002)	Loss 1.8401 (1.8098)	Prec@1 54.688 (52.503)	Prec@5 85.938 (81.881)
Epoch: [76][4510/14090]	Time 0.764 (0.756)	Data 0.001 (0.002)	Loss 1.9486 (1.8099)	Prec@1 49.219 (52.501)	Prec@5 78.906 (81.879)
Epoch: [76][4520/14090]	Time 0.749 (0.756)	Data 0.001 (0.002)	Loss 1.9181 (1.8100)	Prec@1 53.125 (52.498)	Prec@5 80.469 (81.877)
Epoch: [76][4530/14090]	Time 0.730 (0.756)	Data 0.001 (0.002)	Loss 1.8192 (1.8100)	Prec@1 53.125 (52.497)	Prec@5 79.688 (81.875)
Epoch: [76][4540/14090]	Time 0.754 (0.756)	Data 0.001 (0.002)	Loss 1.8004 (1.8099)	Prec@1 52.344 (52.498)	Prec@5 83.594 (81.877)
Epoch: [76][4550/14090]	Time 0.730 (0.756)	Data 0.001 (0.002)	Loss 1.6537 (1.8100)	Prec@1 53.906 (52.497)	Prec@5 89.062 (81.876)
Epoch: [76][4560/14090]	Time 0.735 (0.756)	Data 0.001 (0.002)	Loss 1.6552 (1.8100)	Prec@1 55.469 (52.496)	Prec@5 85.156 (81.875)
Epoch: [76][4570/14090]	Time 0.759 (0.756)	Data 0.001 (0.002)	Loss 1.8630 (1.8100)	Prec@1 53.125 (52.497)	Prec@5 81.250 (81.875)
Epoch: [76][4580/14090]	Time 0.763 (0.756)	Data 0.001 (0.002)	Loss 1.7206 (1.8100)	Prec@1 54.688 (52.498)	Prec@5 82.031 (81.877)
Epoch: [76][4590/14090]	Time 0.726 (0.756)	Data 0.001 (0.002)	Loss 1.9887 (1.8100)	Prec@1 54.688 (52.498)	Prec@5 79.688 (81.877)
Epoch: [76][4600/14090]	Time 0.737 (0.756)	Data 0.001 (0.002)	Loss 1.8369 (1.8100)	Prec@1 57.031 (52.502)	Prec@5 82.812 (81.875)
Epoch: [76][4610/14090]	Time 0.740 (0.756)	Data 0.001 (0.002)	Loss 1.6719 (1.8099)	Prec@1 55.469 (52.504)	Prec@5 81.250 (81.876)
Epoch: [76][4620/14090]	Time 0.781 (0.756)	Data 0.001 (0.002)	Loss 1.9072 (1.8098)	Prec@1 49.219 (52.504)	Prec@5 80.469 (81.877)
Epoch: [76][4630/14090]	Time 0.744 (0.756)	Data 0.001 (0.002)	Loss 1.8709 (1.8100)	Prec@1 45.312 (52.499)	Prec@5 84.375 (81.876)
Epoch: [76][4640/14090]	Time 0.780 (0.756)	Data 0.001 (0.002)	Loss 1.9206 (1.8101)	Prec@1 50.781 (52.498)	Prec@5 75.781 (81.874)
Epoch: [76][4650/14090]	Time 0.755 (0.756)	Data 0.001 (0.002)	Loss 1.8467 (1.8100)	Prec@1 46.875 (52.498)	Prec@5 80.469 (81.877)
Epoch: [76][4660/14090]	Time 0.754 (0.756)	Data 0.001 (0.002)	Loss 1.8629 (1.8101)	Prec@1 47.656 (52.495)	Prec@5 80.469 (81.875)
Epoch: [76][4670/14090]	Time 0.753 (0.756)	Data 0.001 (0.002)	Loss 1.8469 (1.8101)	Prec@1 56.250 (52.496)	Prec@5 79.688 (81.874)
Epoch: [76][4680/14090]	Time 0.733 (0.756)	Data 0.001 (0.002)	Loss 1.9086 (1.8103)	Prec@1 49.219 (52.496)	Prec@5 81.250 (81.872)
Epoch: [76][4690/14090]	Time 0.732 (0.756)	Data 0.001 (0.002)	Loss 1.6423 (1.8101)	Prec@1 56.250 (52.499)	Prec@5 87.500 (81.875)
Epoch: [76][4700/14090]	Time 0.772 (0.756)	Data 0.001 (0.002)	Loss 1.7397 (1.8102)	Prec@1 56.250 (52.493)	Prec@5 81.250 (81.876)
Epoch: [76][4710/14090]	Time 0.729 (0.756)	Data 0.001 (0.002)	Loss 1.6618 (1.8102)	Prec@1 53.906 (52.489)	Prec@5 85.938 (81.875)
Epoch: [76][4720/14090]	Time 0.755 (0.756)	Data 0.001 (0.002)	Loss 1.9311 (1.8102)	Prec@1 45.312 (52.491)	Prec@5 80.469 (81.875)
Epoch: [76][4730/14090]	Time 0.731 (0.756)	Data 0.001 (0.002)	Loss 1.5923 (1.8100)	Prec@1 53.906 (52.495)	Prec@5 85.156 (81.877)
Epoch: [76][4740/14090]	Time 0.734 (0.756)	Data 0.001 (0.002)	Loss 1.7374 (1.8100)	Prec@1 51.562 (52.491)	Prec@5 86.719 (81.877)
Epoch: [76][4750/14090]	Time 0.739 (0.756)	Data 0.001 (0.002)	Loss 1.6961 (1.8100)	Prec@1 54.688 (52.492)	Prec@5 82.812 (81.879)
Epoch: [76][4760/14090]	Time 0.763 (0.756)	Data 0.001 (0.002)	Loss 1.9880 (1.8100)	Prec@1 52.344 (52.490)	Prec@5 75.000 (81.877)
Epoch: [76][4770/14090]	Time 0.761 (0.756)	Data 0.001 (0.002)	Loss 1.6784 (1.8099)	Prec@1 50.781 (52.488)	Prec@5 82.812 (81.877)
Epoch: [76][4780/14090]	Time 0.772 (0.756)	Data 0.001 (0.002)	Loss 1.6984 (1.8100)	Prec@1 57.031 (52.489)	Prec@5 84.375 (81.878)
Epoch: [76][4790/14090]	Time 0.777 (0.756)	Data 0.001 (0.002)	Loss 1.5195 (1.8098)	Prec@1 60.156 (52.493)	Prec@5 84.375 (81.881)
Epoch: [76][4800/14090]	Time 0.737 (0.756)	Data 0.001 (0.002)	Loss 1.5986 (1.8096)	Prec@1 64.844 (52.496)	Prec@5 81.250 (81.880)
Epoch: [76][4810/14090]	Time 0.756 (0.756)	Data 0.001 (0.002)	Loss 2.0041 (1.8098)	Prec@1 49.219 (52.492)	Prec@5 77.344 (81.876)
Epoch: [76][4820/14090]	Time 0.753 (0.756)	Data 0.001 (0.002)	Loss 1.7351 (1.8098)	Prec@1 54.688 (52.489)	Prec@5 81.250 (81.874)
Epoch: [76][4830/14090]	Time 0.747 (0.756)	Data 0.001 (0.002)	Loss 1.7479 (1.8099)	Prec@1 57.031 (52.489)	Prec@5 83.594 (81.871)
Epoch: [76][4840/14090]	Time 0.741 (0.756)	Data 0.001 (0.002)	Loss 1.8332 (1.8101)	Prec@1 53.125 (52.486)	Prec@5 84.375 (81.868)
Epoch: [76][4850/14090]	Time 0.760 (0.756)	Data 0.001 (0.002)	Loss 1.7794 (1.8102)	Prec@1 53.906 (52.485)	Prec@5 81.250 (81.865)
Epoch: [76][4860/14090]	Time 0.747 (0.756)	Data 0.001 (0.002)	Loss 2.1652 (1.8102)	Prec@1 44.531 (52.483)	Prec@5 78.906 (81.866)
Epoch: [76][4870/14090]	Time 0.736 (0.756)	Data 0.001 (0.002)	Loss 1.9909 (1.8103)	Prec@1 46.094 (52.483)	Prec@5 75.781 (81.865)
Epoch: [76][4880/14090]	Time 0.737 (0.756)	Data 0.001 (0.002)	Loss 1.5623 (1.8101)	Prec@1 53.125 (52.487)	Prec@5 87.500 (81.870)
Epoch: [76][4890/14090]	Time 0.734 (0.756)	Data 0.002 (0.002)	Loss 1.6868 (1.8100)	Prec@1 60.938 (52.490)	Prec@5 83.594 (81.871)
Epoch: [76][4900/14090]	Time 0.732 (0.756)	Data 0.001 (0.002)	Loss 1.6629 (1.8100)	Prec@1 54.688 (52.492)	Prec@5 81.250 (81.870)
Epoch: [76][4910/14090]	Time 0.751 (0.756)	Data 0.001 (0.002)	Loss 1.6609 (1.8100)	Prec@1 50.781 (52.490)	Prec@5 85.938 (81.870)
Epoch: [76][4920/14090]	Time 0.751 (0.756)	Data 0.001 (0.002)	Loss 1.9391 (1.8100)	Prec@1 43.750 (52.493)	Prec@5 83.594 (81.869)
Epoch: [76][4930/14090]	Time 0.758 (0.756)	Data 0.001 (0.002)	Loss 1.6784 (1.8101)	Prec@1 51.562 (52.489)	Prec@5 81.250 (81.867)
Epoch: [76][4940/14090]	Time 0.749 (0.756)	Data 0.001 (0.002)	Loss 1.8745 (1.8104)	Prec@1 56.250 (52.480)	Prec@5 83.594 (81.863)
Epoch: [76][4950/14090]	Time 0.733 (0.755)	Data 0.001 (0.002)	Loss 1.5456 (1.8105)	Prec@1 59.375 (52.479)	Prec@5 84.375 (81.860)
Epoch: [76][4960/14090]	Time 0.757 (0.755)	Data 0.001 (0.002)	Loss 1.5919 (1.8105)	Prec@1 54.688 (52.479)	Prec@5 85.156 (81.859)
Epoch: [76][4970/14090]	Time 0.768 (0.755)	Data 0.001 (0.002)	Loss 1.8110 (1.8103)	Prec@1 47.656 (52.479)	Prec@5 81.250 (81.861)
Epoch: [76][4980/14090]	Time 0.728 (0.755)	Data 0.001 (0.002)	Loss 1.8317 (1.8106)	Prec@1 52.344 (52.476)	Prec@5 80.469 (81.857)
Epoch: [76][4990/14090]	Time 0.748 (0.755)	Data 0.001 (0.002)	Loss 1.6288 (1.8107)	Prec@1 55.469 (52.472)	Prec@5 85.938 (81.856)
Epoch: [76][5000/14090]	Time 0.767 (0.755)	Data 0.001 (0.002)	Loss 1.8148 (1.8108)	Prec@1 50.781 (52.471)	Prec@5 78.125 (81.854)
Epoch: [76][5010/14090]	Time 0.781 (0.755)	Data 0.001 (0.002)	Loss 1.7244 (1.8108)	Prec@1 56.250 (52.468)	Prec@5 81.250 (81.852)
Epoch: [76][5020/14090]	Time 0.744 (0.755)	Data 0.001 (0.002)	Loss 2.0068 (1.8109)	Prec@1 43.750 (52.466)	Prec@5 78.125 (81.850)
Epoch: [76][5030/14090]	Time 0.733 (0.755)	Data 0.001 (0.002)	Loss 1.7456 (1.8108)	Prec@1 54.688 (52.466)	Prec@5 82.031 (81.854)
Epoch: [76][5040/14090]	Time 0.766 (0.756)	Data 0.001 (0.002)	Loss 1.9159 (1.8109)	Prec@1 52.344 (52.465)	Prec@5 80.469 (81.853)
Epoch: [76][5050/14090]	Time 0.765 (0.756)	Data 0.001 (0.002)	Loss 1.8970 (1.8111)	Prec@1 49.219 (52.460)	Prec@5 78.125 (81.852)
Epoch: [76][5060/14090]	Time 0.754 (0.756)	Data 0.001 (0.002)	Loss 1.5724 (1.8111)	Prec@1 58.594 (52.456)	Prec@5 89.062 (81.852)
Epoch: [76][5070/14090]	Time 0.748 (0.756)	Data 0.001 (0.002)	Loss 2.0567 (1.8111)	Prec@1 48.438 (52.453)	Prec@5 78.125 (81.853)
Epoch: [76][5080/14090]	Time 0.742 (0.756)	Data 0.001 (0.002)	Loss 1.9350 (1.8112)	Prec@1 53.125 (52.453)	Prec@5 81.250 (81.853)
Epoch: [76][5090/14090]	Time 0.757 (0.756)	Data 0.001 (0.002)	Loss 1.8677 (1.8113)	Prec@1 47.656 (52.449)	Prec@5 81.250 (81.850)
Epoch: [76][5100/14090]	Time 0.750 (0.756)	Data 0.001 (0.002)	Loss 1.8833 (1.8112)	Prec@1 51.562 (52.449)	Prec@5 78.906 (81.853)
Epoch: [76][5110/14090]	Time 0.752 (0.756)	Data 0.001 (0.002)	Loss 1.9471 (1.8113)	Prec@1 45.312 (52.448)	Prec@5 80.469 (81.853)
Epoch: [76][5120/14090]	Time 0.757 (0.756)	Data 0.001 (0.002)	Loss 1.6561 (1.8112)	Prec@1 52.344 (52.447)	Prec@5 82.031 (81.856)
Epoch: [76][5130/14090]	Time 0.735 (0.756)	Data 0.001 (0.002)	Loss 1.8496 (1.8111)	Prec@1 49.219 (52.452)	Prec@5 82.812 (81.856)
Epoch: [76][5140/14090]	Time 0.728 (0.756)	Data 0.001 (0.002)	Loss 1.7760 (1.8111)	Prec@1 50.781 (52.453)	Prec@5 82.031 (81.853)
Epoch: [76][5150/14090]	Time 0.731 (0.756)	Data 0.001 (0.002)	Loss 1.7254 (1.8111)	Prec@1 57.812 (52.453)	Prec@5 84.375 (81.852)
Epoch: [76][5160/14090]	Time 0.743 (0.756)	Data 0.002 (0.002)	Loss 1.7935 (1.8110)	Prec@1 53.125 (52.457)	Prec@5 79.688 (81.854)
Epoch: [76][5170/14090]	Time 0.774 (0.756)	Data 0.001 (0.002)	Loss 2.0837 (1.8110)	Prec@1 43.750 (52.457)	Prec@5 78.125 (81.855)
Epoch: [76][5180/14090]	Time 0.754 (0.756)	Data 0.001 (0.002)	Loss 1.7647 (1.8109)	Prec@1 57.812 (52.459)	Prec@5 84.375 (81.858)
Epoch: [76][5190/14090]	Time 0.757 (0.756)	Data 0.001 (0.002)	Loss 1.9911 (1.8108)	Prec@1 47.656 (52.463)	Prec@5 74.219 (81.857)
Epoch: [76][5200/14090]	Time 0.772 (0.756)	Data 0.001 (0.002)	Loss 1.8942 (1.8110)	Prec@1 46.875 (52.458)	Prec@5 82.031 (81.854)
Epoch: [76][5210/14090]	Time 0.776 (0.756)	Data 0.001 (0.002)	Loss 1.8155 (1.8110)	Prec@1 49.219 (52.459)	Prec@5 80.469 (81.854)
Epoch: [76][5220/14090]	Time 0.755 (0.756)	Data 0.001 (0.002)	Loss 1.8645 (1.8110)	Prec@1 48.438 (52.458)	Prec@5 82.812 (81.855)
Epoch: [76][5230/14090]	Time 0.739 (0.755)	Data 0.001 (0.002)	Loss 1.9871 (1.8108)	Prec@1 43.750 (52.458)	Prec@5 76.562 (81.856)
Epoch: [76][5240/14090]	Time 0.751 (0.755)	Data 0.001 (0.002)	Loss 1.8359 (1.8108)	Prec@1 53.906 (52.461)	Prec@5 81.250 (81.856)
Epoch: [76][5250/14090]	Time 0.764 (0.755)	Data 0.001 (0.002)	Loss 2.1273 (1.8110)	Prec@1 43.750 (52.456)	Prec@5 75.000 (81.854)
Epoch: [76][5260/14090]	Time 0.756 (0.755)	Data 0.001 (0.002)	Loss 1.8139 (1.8111)	Prec@1 51.562 (52.451)	Prec@5 84.375 (81.852)
Epoch: [76][5270/14090]	Time 0.786 (0.755)	Data 0.001 (0.002)	Loss 1.7358 (1.8111)	Prec@1 55.469 (52.453)	Prec@5 83.594 (81.851)
Epoch: [76][5280/14090]	Time 0.768 (0.755)	Data 0.001 (0.002)	Loss 1.6998 (1.8112)	Prec@1 49.219 (52.451)	Prec@5 88.281 (81.851)
Epoch: [76][5290/14090]	Time 0.740 (0.755)	Data 0.001 (0.002)	Loss 1.7844 (1.8113)	Prec@1 53.125 (52.447)	Prec@5 81.250 (81.851)
Epoch: [76][5300/14090]	Time 0.763 (0.755)	Data 0.001 (0.002)	Loss 1.7452 (1.8113)	Prec@1 52.344 (52.445)	Prec@5 81.250 (81.849)
Epoch: [76][5310/14090]	Time 0.777 (0.755)	Data 0.001 (0.002)	Loss 1.6413 (1.8112)	Prec@1 57.812 (52.443)	Prec@5 84.375 (81.850)
Epoch: [76][5320/14090]	Time 0.758 (0.755)	Data 0.001 (0.002)	Loss 1.9169 (1.8114)	Prec@1 51.562 (52.442)	Prec@5 82.812 (81.847)
Epoch: [76][5330/14090]	Time 0.754 (0.755)	Data 0.001 (0.002)	Loss 1.7254 (1.8114)	Prec@1 50.000 (52.438)	Prec@5 85.156 (81.848)
Epoch: [76][5340/14090]	Time 0.749 (0.755)	Data 0.001 (0.002)	Loss 1.7334 (1.8114)	Prec@1 50.781 (52.435)	Prec@5 84.375 (81.847)
Epoch: [76][5350/14090]	Time 0.735 (0.755)	Data 0.001 (0.002)	Loss 1.5875 (1.8115)	Prec@1 58.594 (52.436)	Prec@5 83.594 (81.845)
Epoch: [76][5360/14090]	Time 0.740 (0.755)	Data 0.001 (0.002)	Loss 1.8304 (1.8116)	Prec@1 52.344 (52.433)	Prec@5 81.250 (81.844)
Epoch: [76][5370/14090]	Time 0.748 (0.756)	Data 0.001 (0.002)	Loss 1.7171 (1.8114)	Prec@1 52.344 (52.436)	Prec@5 84.375 (81.847)
Epoch: [76][5380/14090]	Time 0.736 (0.756)	Data 0.001 (0.002)	Loss 1.6454 (1.8112)	Prec@1 57.812 (52.440)	Prec@5 85.938 (81.852)
Epoch: [76][5390/14090]	Time 0.768 (0.756)	Data 0.001 (0.002)	Loss 1.8613 (1.8112)	Prec@1 50.781 (52.441)	Prec@5 85.156 (81.852)
Epoch: [76][5400/14090]	Time 0.744 (0.755)	Data 0.001 (0.002)	Loss 1.7573 (1.8111)	Prec@1 51.562 (52.442)	Prec@5 86.719 (81.853)
Epoch: [76][5410/14090]	Time 0.734 (0.755)	Data 0.001 (0.002)	Loss 2.0815 (1.8110)	Prec@1 48.438 (52.445)	Prec@5 81.250 (81.855)
Epoch: [76][5420/14090]	Time 0.740 (0.755)	Data 0.001 (0.002)	Loss 1.7848 (1.8111)	Prec@1 57.812 (52.443)	Prec@5 85.938 (81.856)
Epoch: [76][5430/14090]	Time 0.756 (0.755)	Data 0.001 (0.002)	Loss 1.7036 (1.8110)	Prec@1 56.250 (52.445)	Prec@5 80.469 (81.857)
Epoch: [76][5440/14090]	Time 0.765 (0.755)	Data 0.001 (0.002)	Loss 1.5853 (1.8110)	Prec@1 53.906 (52.444)	Prec@5 88.281 (81.858)
Epoch: [76][5450/14090]	Time 0.729 (0.755)	Data 0.001 (0.002)	Loss 1.8007 (1.8110)	Prec@1 50.000 (52.442)	Prec@5 82.812 (81.859)
Epoch: [76][5460/14090]	Time 0.744 (0.755)	Data 0.001 (0.002)	Loss 1.9325 (1.8111)	Prec@1 50.781 (52.440)	Prec@5 78.906 (81.858)
Epoch: [76][5470/14090]	Time 0.734 (0.755)	Data 0.001 (0.002)	Loss 2.0602 (1.8112)	Prec@1 47.656 (52.437)	Prec@5 80.469 (81.857)
Epoch: [76][5480/14090]	Time 0.740 (0.755)	Data 0.001 (0.002)	Loss 1.6270 (1.8112)	Prec@1 53.906 (52.435)	Prec@5 87.500 (81.856)
Epoch: [76][5490/14090]	Time 0.732 (0.755)	Data 0.001 (0.002)	Loss 1.5716 (1.8114)	Prec@1 55.469 (52.429)	Prec@5 85.938 (81.855)
Epoch: [76][5500/14090]	Time 0.773 (0.755)	Data 0.001 (0.002)	Loss 1.6962 (1.8114)	Prec@1 57.031 (52.432)	Prec@5 85.156 (81.855)
Epoch: [76][5510/14090]	Time 0.746 (0.755)	Data 0.001 (0.002)	Loss 2.1029 (1.8114)	Prec@1 49.219 (52.434)	Prec@5 74.219 (81.854)
Epoch: [76][5520/14090]	Time 0.752 (0.755)	Data 0.001 (0.002)	Loss 1.8701 (1.8114)	Prec@1 52.344 (52.434)	Prec@5 82.031 (81.855)
Epoch: [76][5530/14090]	Time 0.732 (0.755)	Data 0.001 (0.002)	Loss 1.8440 (1.8114)	Prec@1 49.219 (52.431)	Prec@5 80.469 (81.856)
Epoch: [76][5540/14090]	Time 0.742 (0.755)	Data 0.003 (0.002)	Loss 2.0314 (1.8116)	Prec@1 52.344 (52.429)	Prec@5 75.000 (81.854)
Epoch: [76][5550/14090]	Time 0.764 (0.755)	Data 0.002 (0.002)	Loss 1.7815 (1.8117)	Prec@1 55.469 (52.424)	Prec@5 84.375 (81.854)
Epoch: [76][5560/14090]	Time 0.733 (0.755)	Data 0.001 (0.002)	Loss 1.7428 (1.8117)	Prec@1 52.344 (52.425)	Prec@5 85.938 (81.853)
Epoch: [76][5570/14090]	Time 0.746 (0.755)	Data 0.001 (0.002)	Loss 1.6114 (1.8117)	Prec@1 60.156 (52.428)	Prec@5 82.031 (81.852)
Epoch: [76][5580/14090]	Time 0.743 (0.755)	Data 0.001 (0.002)	Loss 1.5359 (1.8117)	Prec@1 63.281 (52.427)	Prec@5 89.062 (81.855)
Epoch: [76][5590/14090]	Time 0.754 (0.755)	Data 0.001 (0.002)	Loss 1.7777 (1.8118)	Prec@1 52.344 (52.423)	Prec@5 82.812 (81.853)
Epoch: [76][5600/14090]	Time 0.758 (0.755)	Data 0.001 (0.002)	Loss 1.8361 (1.8118)	Prec@1 50.000 (52.421)	Prec@5 81.250 (81.854)
Epoch: [76][5610/14090]	Time 0.738 (0.755)	Data 0.001 (0.002)	Loss 1.8305 (1.8117)	Prec@1 54.688 (52.426)	Prec@5 81.250 (81.854)
Epoch: [76][5620/14090]	Time 0.735 (0.755)	Data 0.001 (0.002)	Loss 1.7300 (1.8115)	Prec@1 50.781 (52.429)	Prec@5 84.375 (81.856)
Epoch: [76][5630/14090]	Time 0.734 (0.755)	Data 0.001 (0.002)	Loss 1.9283 (1.8115)	Prec@1 47.656 (52.433)	Prec@5 82.812 (81.857)
Epoch: [76][5640/14090]	Time 0.826 (0.755)	Data 0.001 (0.002)	Loss 2.0760 (1.8116)	Prec@1 47.656 (52.432)	Prec@5 75.781 (81.854)
Epoch: [76][5650/14090]	Time 0.733 (0.755)	Data 0.001 (0.002)	Loss 1.8113 (1.8115)	Prec@1 48.438 (52.431)	Prec@5 82.812 (81.854)
Epoch: [76][5660/14090]	Time 0.766 (0.755)	Data 0.001 (0.002)	Loss 1.9123 (1.8117)	Prec@1 50.000 (52.428)	Prec@5 78.125 (81.852)
Epoch: [76][5670/14090]	Time 0.770 (0.755)	Data 0.001 (0.002)	Loss 1.8113 (1.8116)	Prec@1 47.656 (52.428)	Prec@5 86.719 (81.855)
Epoch: [76][5680/14090]	Time 0.733 (0.755)	Data 0.001 (0.002)	Loss 1.7711 (1.8117)	Prec@1 60.156 (52.428)	Prec@5 83.594 (81.854)
Epoch: [76][5690/14090]	Time 0.724 (0.755)	Data 0.001 (0.002)	Loss 1.7894 (1.8117)	Prec@1 53.125 (52.430)	Prec@5 82.031 (81.856)
Epoch: [76][5700/14090]	Time 0.763 (0.755)	Data 0.001 (0.002)	Loss 1.8051 (1.8117)	Prec@1 51.562 (52.428)	Prec@5 82.031 (81.857)
Epoch: [76][5710/14090]	Time 0.746 (0.755)	Data 0.001 (0.002)	Loss 1.8387 (1.8118)	Prec@1 46.094 (52.425)	Prec@5 81.250 (81.853)
Epoch: [76][5720/14090]	Time 0.739 (0.755)	Data 0.001 (0.002)	Loss 1.7956 (1.8119)	Prec@1 56.250 (52.427)	Prec@5 82.031 (81.851)
Epoch: [76][5730/14090]	Time 0.800 (0.755)	Data 0.001 (0.002)	Loss 1.8132 (1.8121)	Prec@1 51.562 (52.426)	Prec@5 83.594 (81.847)
Epoch: [76][5740/14090]	Time 0.740 (0.755)	Data 0.001 (0.002)	Loss 1.8263 (1.8120)	Prec@1 53.906 (52.429)	Prec@5 82.812 (81.847)
Epoch: [76][5750/14090]	Time 0.756 (0.755)	Data 0.001 (0.002)	Loss 1.7204 (1.8120)	Prec@1 52.344 (52.430)	Prec@5 84.375 (81.845)
Epoch: [76][5760/14090]	Time 0.740 (0.755)	Data 0.001 (0.002)	Loss 1.9131 (1.8120)	Prec@1 50.000 (52.431)	Prec@5 82.031 (81.845)
Epoch: [76][5770/14090]	Time 0.755 (0.755)	Data 0.001 (0.002)	Loss 1.8204 (1.8121)	Prec@1 54.688 (52.426)	Prec@5 81.250 (81.845)
Epoch: [76][5780/14090]	Time 0.742 (0.755)	Data 0.001 (0.002)	Loss 1.8138 (1.8120)	Prec@1 53.906 (52.427)	Prec@5 85.156 (81.848)
Epoch: [76][5790/14090]	Time 0.765 (0.755)	Data 0.001 (0.002)	Loss 1.6311 (1.8119)	Prec@1 57.812 (52.429)	Prec@5 82.812 (81.850)
Epoch: [76][5800/14090]	Time 0.751 (0.755)	Data 0.001 (0.002)	Loss 1.9663 (1.8118)	Prec@1 48.438 (52.430)	Prec@5 79.688 (81.851)
Epoch: [76][5810/14090]	Time 0.744 (0.755)	Data 0.001 (0.002)	Loss 1.8958 (1.8119)	Prec@1 53.125 (52.428)	Prec@5 82.812 (81.850)
Epoch: [76][5820/14090]	Time 0.764 (0.755)	Data 0.001 (0.002)	Loss 2.0274 (1.8120)	Prec@1 45.312 (52.425)	Prec@5 78.906 (81.849)
Epoch: [76][5830/14090]	Time 0.750 (0.755)	Data 0.001 (0.002)	Loss 2.0098 (1.8122)	Prec@1 46.094 (52.416)	Prec@5 78.906 (81.847)
Epoch: [76][5840/14090]	Time 0.733 (0.755)	Data 0.001 (0.002)	Loss 1.8961 (1.8121)	Prec@1 48.438 (52.419)	Prec@5 78.125 (81.850)
Epoch: [76][5850/14090]	Time 0.729 (0.755)	Data 0.001 (0.002)	Loss 1.7455 (1.8121)	Prec@1 54.688 (52.420)	Prec@5 85.156 (81.850)
Epoch: [76][5860/14090]	Time 0.741 (0.755)	Data 0.001 (0.002)	Loss 1.9666 (1.8121)	Prec@1 45.312 (52.417)	Prec@5 78.125 (81.852)
Epoch: [76][5870/14090]	Time 0.761 (0.755)	Data 0.001 (0.002)	Loss 2.0154 (1.8121)	Prec@1 47.656 (52.417)	Prec@5 73.438 (81.848)
Epoch: [76][5880/14090]	Time 0.753 (0.755)	Data 0.001 (0.002)	Loss 1.8744 (1.8122)	Prec@1 49.219 (52.414)	Prec@5 81.250 (81.848)
Epoch: [76][5890/14090]	Time 0.780 (0.755)	Data 0.001 (0.002)	Loss 1.5004 (1.8121)	Prec@1 58.594 (52.418)	Prec@5 88.281 (81.847)
Epoch: [76][5900/14090]	Time 0.745 (0.755)	Data 0.001 (0.002)	Loss 1.9589 (1.8121)	Prec@1 48.438 (52.419)	Prec@5 83.594 (81.848)
Epoch: [76][5910/14090]	Time 0.741 (0.755)	Data 0.001 (0.002)	Loss 1.5412 (1.8119)	Prec@1 59.375 (52.425)	Prec@5 87.500 (81.852)
Epoch: [76][5920/14090]	Time 0.846 (0.755)	Data 0.001 (0.002)	Loss 1.8578 (1.8119)	Prec@1 53.906 (52.426)	Prec@5 85.156 (81.853)
Epoch: [76][5930/14090]	Time 0.739 (0.755)	Data 0.001 (0.002)	Loss 1.9587 (1.8119)	Prec@1 51.562 (52.428)	Prec@5 78.906 (81.852)
Epoch: [76][5940/14090]	Time 0.744 (0.755)	Data 0.001 (0.002)	Loss 1.8697 (1.8119)	Prec@1 51.562 (52.428)	Prec@5 85.156 (81.851)
Epoch: [76][5950/14090]	Time 0.778 (0.755)	Data 0.001 (0.002)	Loss 2.0182 (1.8120)	Prec@1 44.531 (52.426)	Prec@5 82.031 (81.850)
Epoch: [76][5960/14090]	Time 0.739 (0.755)	Data 0.001 (0.002)	Loss 1.9489 (1.8120)	Prec@1 49.219 (52.428)	Prec@5 80.469 (81.849)
Epoch: [76][5970/14090]	Time 0.745 (0.755)	Data 0.001 (0.002)	Loss 1.8932 (1.8120)	Prec@1 47.656 (52.427)	Prec@5 81.250 (81.849)
Epoch: [76][5980/14090]	Time 0.731 (0.755)	Data 0.001 (0.002)	Loss 1.7969 (1.8120)	Prec@1 49.219 (52.426)	Prec@5 82.812 (81.849)
Epoch: [76][5990/14090]	Time 0.753 (0.755)	Data 0.001 (0.002)	Loss 1.9017 (1.8122)	Prec@1 52.344 (52.423)	Prec@5 82.031 (81.847)
Epoch: [76][6000/14090]	Time 0.764 (0.755)	Data 0.001 (0.002)	Loss 1.7944 (1.8121)	Prec@1 56.250 (52.421)	Prec@5 85.156 (81.850)
Epoch: [76][6010/14090]	Time 0.744 (0.755)	Data 0.001 (0.002)	Loss 1.9275 (1.8121)	Prec@1 50.000 (52.421)	Prec@5 76.562 (81.850)
Epoch: [76][6020/14090]	Time 0.738 (0.755)	Data 0.001 (0.002)	Loss 1.9086 (1.8123)	Prec@1 45.312 (52.414)	Prec@5 78.125 (81.847)
Epoch: [76][6030/14090]	Time 0.740 (0.755)	Data 0.001 (0.002)	Loss 1.6469 (1.8123)	Prec@1 57.031 (52.413)	Prec@5 82.812 (81.847)
Epoch: [76][6040/14090]	Time 0.729 (0.755)	Data 0.001 (0.002)	Loss 1.7262 (1.8123)	Prec@1 55.469 (52.414)	Prec@5 82.031 (81.848)
Epoch: [76][6050/14090]	Time 0.752 (0.755)	Data 0.001 (0.002)	Loss 1.6157 (1.8123)	Prec@1 60.156 (52.416)	Prec@5 83.594 (81.848)
Epoch: [76][6060/14090]	Time 0.785 (0.755)	Data 0.001 (0.002)	Loss 1.7082 (1.8122)	Prec@1 54.688 (52.419)	Prec@5 85.156 (81.849)
Epoch: [76][6070/14090]	Time 0.762 (0.755)	Data 0.001 (0.002)	Loss 2.0235 (1.8122)	Prec@1 53.125 (52.421)	Prec@5 74.219 (81.847)
Epoch: [76][6080/14090]	Time 0.780 (0.755)	Data 0.001 (0.002)	Loss 2.1061 (1.8122)	Prec@1 43.750 (52.420)	Prec@5 76.562 (81.848)
Epoch: [76][6090/14090]	Time 0.767 (0.755)	Data 0.001 (0.002)	Loss 2.1830 (1.8124)	Prec@1 49.219 (52.418)	Prec@5 71.875 (81.845)
Epoch: [76][6100/14090]	Time 0.739 (0.755)	Data 0.001 (0.002)	Loss 2.0744 (1.8123)	Prec@1 50.781 (52.419)	Prec@5 81.250 (81.845)
Epoch: [76][6110/14090]	Time 0.753 (0.755)	Data 0.001 (0.002)	Loss 1.9243 (1.8123)	Prec@1 50.000 (52.420)	Prec@5 79.688 (81.846)
Epoch: [76][6120/14090]	Time 0.753 (0.755)	Data 0.001 (0.002)	Loss 1.7515 (1.8122)	Prec@1 53.125 (52.420)	Prec@5 86.719 (81.849)
Epoch: [76][6130/14090]	Time 0.757 (0.755)	Data 0.001 (0.002)	Loss 1.7627 (1.8121)	Prec@1 49.219 (52.422)	Prec@5 86.719 (81.852)
Epoch: [76][6140/14090]	Time 0.756 (0.755)	Data 0.001 (0.002)	Loss 1.6979 (1.8122)	Prec@1 57.031 (52.422)	Prec@5 84.375 (81.850)
Epoch: [76][6150/14090]	Time 0.732 (0.755)	Data 0.001 (0.002)	Loss 1.7974 (1.8123)	Prec@1 53.906 (52.422)	Prec@5 81.250 (81.849)
Epoch: [76][6160/14090]	Time 0.758 (0.755)	Data 0.001 (0.002)	Loss 1.8605 (1.8124)	Prec@1 46.094 (52.419)	Prec@5 82.812 (81.849)
Epoch: [76][6170/14090]	Time 0.779 (0.755)	Data 0.001 (0.002)	Loss 1.8188 (1.8124)	Prec@1 53.906 (52.419)	Prec@5 80.469 (81.848)
Epoch: [76][6180/14090]	Time 0.740 (0.755)	Data 0.001 (0.002)	Loss 1.8216 (1.8124)	Prec@1 53.125 (52.416)	Prec@5 82.812 (81.847)
Epoch: [76][6190/14090]	Time 0.749 (0.755)	Data 0.001 (0.002)	Loss 2.0881 (1.8125)	Prec@1 43.750 (52.413)	Prec@5 82.031 (81.846)
Epoch: [76][6200/14090]	Time 0.739 (0.755)	Data 0.001 (0.002)	Loss 1.7596 (1.8125)	Prec@1 50.781 (52.414)	Prec@5 80.469 (81.845)
Epoch: [76][6210/14090]	Time 0.745 (0.755)	Data 0.001 (0.002)	Loss 1.8340 (1.8125)	Prec@1 49.219 (52.411)	Prec@5 80.469 (81.842)
Epoch: [76][6220/14090]	Time 0.734 (0.755)	Data 0.001 (0.002)	Loss 1.7821 (1.8125)	Prec@1 54.688 (52.414)	Prec@5 82.812 (81.843)
Epoch: [76][6230/14090]	Time 0.768 (0.755)	Data 0.001 (0.002)	Loss 1.9469 (1.8124)	Prec@1 47.656 (52.415)	Prec@5 81.250 (81.844)
Epoch: [76][6240/14090]	Time 0.756 (0.755)	Data 0.002 (0.002)	Loss 2.0381 (1.8126)	Prec@1 48.438 (52.410)	Prec@5 76.562 (81.842)
Epoch: [76][6250/14090]	Time 0.761 (0.755)	Data 0.001 (0.002)	Loss 1.7415 (1.8126)	Prec@1 54.688 (52.411)	Prec@5 83.594 (81.842)
Epoch: [76][6260/14090]	Time 0.765 (0.755)	Data 0.001 (0.002)	Loss 2.1501 (1.8126)	Prec@1 47.656 (52.412)	Prec@5 74.219 (81.839)
Epoch: [76][6270/14090]	Time 0.760 (0.755)	Data 0.002 (0.002)	Loss 1.7174 (1.8127)	Prec@1 53.125 (52.415)	Prec@5 85.938 (81.840)
Epoch: [76][6280/14090]	Time 0.764 (0.755)	Data 0.001 (0.002)	Loss 1.8589 (1.8126)	Prec@1 56.250 (52.416)	Prec@5 81.250 (81.839)
Epoch: [76][6290/14090]	Time 0.767 (0.755)	Data 0.001 (0.002)	Loss 1.8502 (1.8126)	Prec@1 51.562 (52.417)	Prec@5 83.594 (81.842)
Epoch: [76][6300/14090]	Time 0.735 (0.755)	Data 0.001 (0.002)	Loss 1.8285 (1.8125)	Prec@1 46.875 (52.420)	Prec@5 81.250 (81.844)
Epoch: [76][6310/14090]	Time 0.742 (0.755)	Data 0.001 (0.002)	Loss 2.0379 (1.8126)	Prec@1 51.562 (52.418)	Prec@5 75.781 (81.841)
Epoch: [76][6320/14090]	Time 0.772 (0.755)	Data 0.001 (0.002)	Loss 1.8799 (1.8126)	Prec@1 46.094 (52.417)	Prec@5 77.344 (81.840)
Epoch: [76][6330/14090]	Time 0.741 (0.755)	Data 0.001 (0.002)	Loss 2.1887 (1.8126)	Prec@1 43.750 (52.415)	Prec@5 71.875 (81.840)
Epoch: [76][6340/14090]	Time 0.883 (0.755)	Data 0.001 (0.002)	Loss 1.7237 (1.8127)	Prec@1 53.125 (52.412)	Prec@5 86.719 (81.839)
Epoch: [76][6350/14090]	Time 0.735 (0.755)	Data 0.001 (0.002)	Loss 1.7003 (1.8127)	Prec@1 53.125 (52.412)	Prec@5 84.375 (81.840)
Epoch: [76][6360/14090]	Time 0.738 (0.755)	Data 0.001 (0.002)	Loss 1.8882 (1.8127)	Prec@1 55.469 (52.413)	Prec@5 79.688 (81.839)
Epoch: [76][6370/14090]	Time 0.768 (0.755)	Data 0.001 (0.002)	Loss 2.0300 (1.8127)	Prec@1 46.094 (52.414)	Prec@5 76.562 (81.837)
Epoch: [76][6380/14090]	Time 0.753 (0.755)	Data 0.001 (0.002)	Loss 1.7351 (1.8127)	Prec@1 58.594 (52.415)	Prec@5 82.031 (81.838)
Epoch: [76][6390/14090]	Time 0.781 (0.755)	Data 0.001 (0.002)	Loss 1.5660 (1.8128)	Prec@1 59.375 (52.414)	Prec@5 85.938 (81.837)
Epoch: [76][6400/14090]	Time 0.770 (0.755)	Data 0.001 (0.002)	Loss 1.6331 (1.8127)	Prec@1 48.438 (52.413)	Prec@5 84.375 (81.838)
Epoch: [76][6410/14090]	Time 0.744 (0.755)	Data 0.001 (0.002)	Loss 1.7147 (1.8127)	Prec@1 57.812 (52.414)	Prec@5 87.500 (81.838)
Epoch: [76][6420/14090]	Time 0.777 (0.755)	Data 0.001 (0.002)	Loss 1.7254 (1.8127)	Prec@1 54.688 (52.415)	Prec@5 85.156 (81.839)
Epoch: [76][6430/14090]	Time 0.745 (0.755)	Data 0.001 (0.002)	Loss 1.9205 (1.8127)	Prec@1 48.438 (52.413)	Prec@5 79.688 (81.840)
Epoch: [76][6440/14090]	Time 0.740 (0.755)	Data 0.001 (0.002)	Loss 1.7365 (1.8128)	Prec@1 51.562 (52.410)	Prec@5 82.031 (81.841)
Epoch: [76][6450/14090]	Time 0.760 (0.755)	Data 0.001 (0.002)	Loss 2.0200 (1.8128)	Prec@1 52.344 (52.411)	Prec@5 76.562 (81.838)
Epoch: [76][6460/14090]	Time 0.751 (0.755)	Data 0.001 (0.002)	Loss 1.5338 (1.8126)	Prec@1 54.688 (52.414)	Prec@5 86.719 (81.844)
Epoch: [76][6470/14090]	Time 0.766 (0.755)	Data 0.001 (0.002)	Loss 1.5329 (1.8125)	Prec@1 65.625 (52.418)	Prec@5 88.281 (81.845)
Epoch: [76][6480/14090]	Time 0.733 (0.755)	Data 0.002 (0.002)	Loss 1.8334 (1.8126)	Prec@1 53.906 (52.416)	Prec@5 81.250 (81.843)
Epoch: [76][6490/14090]	Time 0.742 (0.755)	Data 0.001 (0.002)	Loss 2.0240 (1.8126)	Prec@1 53.906 (52.417)	Prec@5 78.906 (81.843)
Epoch: [76][6500/14090]	Time 0.738 (0.755)	Data 0.001 (0.002)	Loss 2.1043 (1.8127)	Prec@1 46.875 (52.413)	Prec@5 78.906 (81.842)
Epoch: [76][6510/14090]	Time 0.733 (0.755)	Data 0.001 (0.002)	Loss 1.6829 (1.8126)	Prec@1 53.906 (52.412)	Prec@5 82.031 (81.842)
Epoch: [76][6520/14090]	Time 0.741 (0.755)	Data 0.001 (0.002)	Loss 2.1468 (1.8126)	Prec@1 46.094 (52.413)	Prec@5 77.344 (81.844)
Epoch: [76][6530/14090]	Time 0.774 (0.755)	Data 0.001 (0.002)	Loss 1.9828 (1.8126)	Prec@1 55.469 (52.415)	Prec@5 76.562 (81.845)
Epoch: [76][6540/14090]	Time 0.733 (0.755)	Data 0.001 (0.002)	Loss 1.8560 (1.8126)	Prec@1 46.094 (52.413)	Prec@5 86.719 (81.846)
Epoch: [76][6550/14090]	Time 0.735 (0.755)	Data 0.001 (0.002)	Loss 1.8298 (1.8126)	Prec@1 51.562 (52.413)	Prec@5 83.594 (81.844)
Epoch: [76][6560/14090]	Time 0.756 (0.755)	Data 0.001 (0.002)	Loss 1.9907 (1.8126)	Prec@1 52.344 (52.411)	Prec@5 76.562 (81.844)
Epoch: [76][6570/14090]	Time 0.749 (0.755)	Data 0.001 (0.002)	Loss 1.7574 (1.8127)	Prec@1 49.219 (52.410)	Prec@5 82.812 (81.842)
Epoch: [76][6580/14090]	Time 0.781 (0.755)	Data 0.001 (0.002)	Loss 1.8058 (1.8127)	Prec@1 50.781 (52.411)	Prec@5 78.906 (81.840)
Epoch: [76][6590/14090]	Time 0.779 (0.755)	Data 0.001 (0.002)	Loss 1.7582 (1.8128)	Prec@1 53.125 (52.409)	Prec@5 85.938 (81.838)
Epoch: [76][6600/14090]	Time 0.735 (0.755)	Data 0.001 (0.002)	Loss 1.8220 (1.8128)	Prec@1 50.781 (52.409)	Prec@5 83.594 (81.840)
Epoch: [76][6610/14090]	Time 0.751 (0.755)	Data 0.001 (0.002)	Loss 2.0449 (1.8128)	Prec@1 50.000 (52.407)	Prec@5 79.688 (81.838)
Epoch: [76][6620/14090]	Time 0.850 (0.755)	Data 0.001 (0.002)	Loss 1.9221 (1.8128)	Prec@1 49.219 (52.407)	Prec@5 78.906 (81.839)
Epoch: [76][6630/14090]	Time 0.741 (0.755)	Data 0.001 (0.002)	Loss 1.7337 (1.8129)	Prec@1 54.688 (52.409)	Prec@5 85.938 (81.838)
Epoch: [76][6640/14090]	Time 0.771 (0.755)	Data 0.001 (0.002)	Loss 1.6832 (1.8130)	Prec@1 52.344 (52.403)	Prec@5 81.250 (81.835)
Epoch: [76][6650/14090]	Time 0.769 (0.755)	Data 0.001 (0.002)	Loss 1.7888 (1.8129)	Prec@1 55.469 (52.405)	Prec@5 82.031 (81.837)
Epoch: [76][6660/14090]	Time 0.738 (0.755)	Data 0.001 (0.002)	Loss 1.8089 (1.8129)	Prec@1 53.125 (52.404)	Prec@5 82.812 (81.836)
Epoch: [76][6670/14090]	Time 0.762 (0.755)	Data 0.001 (0.002)	Loss 1.7208 (1.8130)	Prec@1 50.781 (52.405)	Prec@5 82.812 (81.834)
Epoch: [76][6680/14090]	Time 0.743 (0.755)	Data 0.001 (0.002)	Loss 1.7122 (1.8130)	Prec@1 51.562 (52.405)	Prec@5 84.375 (81.833)
Epoch: [76][6690/14090]	Time 0.741 (0.755)	Data 0.001 (0.002)	Loss 1.9621 (1.8131)	Prec@1 53.906 (52.404)	Prec@5 82.031 (81.832)
Epoch: [76][6700/14090]	Time 0.755 (0.755)	Data 0.001 (0.002)	Loss 1.8668 (1.8131)	Prec@1 53.906 (52.404)	Prec@5 82.812 (81.833)
Epoch: [76][6710/14090]	Time 0.746 (0.755)	Data 0.001 (0.002)	Loss 1.9536 (1.8132)	Prec@1 43.750 (52.403)	Prec@5 75.781 (81.832)
Epoch: [76][6720/14090]	Time 0.748 (0.755)	Data 0.001 (0.002)	Loss 1.8540 (1.8132)	Prec@1 47.656 (52.403)	Prec@5 80.469 (81.832)
Epoch: [76][6730/14090]	Time 0.766 (0.755)	Data 0.001 (0.002)	Loss 1.9416 (1.8132)	Prec@1 50.781 (52.402)	Prec@5 75.781 (81.832)
Epoch: [76][6740/14090]	Time 0.758 (0.755)	Data 0.001 (0.002)	Loss 1.4593 (1.8132)	Prec@1 60.156 (52.402)	Prec@5 88.281 (81.834)
Epoch: [76][6750/14090]	Time 0.739 (0.755)	Data 0.001 (0.002)	Loss 1.6800 (1.8131)	Prec@1 56.250 (52.405)	Prec@5 80.469 (81.835)
Epoch: [76][6760/14090]	Time 0.841 (0.755)	Data 0.001 (0.002)	Loss 1.4885 (1.8131)	Prec@1 54.688 (52.407)	Prec@5 89.062 (81.836)
Epoch: [76][6770/14090]	Time 0.799 (0.755)	Data 0.001 (0.002)	Loss 2.0369 (1.8130)	Prec@1 45.312 (52.409)	Prec@5 78.906 (81.838)
Epoch: [76][6780/14090]	Time 0.729 (0.755)	Data 0.001 (0.002)	Loss 1.7947 (1.8129)	Prec@1 50.781 (52.412)	Prec@5 83.594 (81.839)
Epoch: [76][6790/14090]	Time 0.743 (0.755)	Data 0.001 (0.002)	Loss 2.0137 (1.8130)	Prec@1 51.562 (52.412)	Prec@5 78.125 (81.837)
Epoch: [76][6800/14090]	Time 0.750 (0.755)	Data 0.001 (0.002)	Loss 1.8019 (1.8130)	Prec@1 55.469 (52.410)	Prec@5 77.344 (81.834)
Epoch: [76][6810/14090]	Time 0.746 (0.755)	Data 0.001 (0.002)	Loss 1.7017 (1.8131)	Prec@1 55.469 (52.408)	Prec@5 84.375 (81.835)
Epoch: [76][6820/14090]	Time 0.738 (0.755)	Data 0.001 (0.002)	Loss 2.0800 (1.8131)	Prec@1 46.875 (52.405)	Prec@5 77.344 (81.834)
Epoch: [76][6830/14090]	Time 0.780 (0.755)	Data 0.001 (0.002)	Loss 1.6696 (1.8131)	Prec@1 55.469 (52.403)	Prec@5 86.719 (81.834)
Epoch: [76][6840/14090]	Time 0.770 (0.755)	Data 0.001 (0.002)	Loss 1.8143 (1.8132)	Prec@1 56.250 (52.402)	Prec@5 79.688 (81.833)
Epoch: [76][6850/14090]	Time 0.769 (0.755)	Data 0.001 (0.002)	Loss 2.1860 (1.8133)	Prec@1 44.531 (52.401)	Prec@5 76.562 (81.832)
Epoch: [76][6860/14090]	Time 0.782 (0.755)	Data 0.001 (0.002)	Loss 1.7098 (1.8132)	Prec@1 52.344 (52.401)	Prec@5 82.812 (81.835)
Epoch: [76][6870/14090]	Time 0.734 (0.755)	Data 0.001 (0.002)	Loss 1.7364 (1.8132)	Prec@1 53.125 (52.400)	Prec@5 86.719 (81.838)
Epoch: [76][6880/14090]	Time 0.784 (0.755)	Data 0.001 (0.002)	Loss 1.4620 (1.8133)	Prec@1 60.156 (52.397)	Prec@5 82.812 (81.837)
Epoch: [76][6890/14090]	Time 0.778 (0.755)	Data 0.001 (0.002)	Loss 1.8697 (1.8132)	Prec@1 49.219 (52.398)	Prec@5 80.469 (81.839)
Epoch: [76][6900/14090]	Time 0.728 (0.755)	Data 0.001 (0.002)	Loss 1.8709 (1.8132)	Prec@1 53.906 (52.397)	Prec@5 82.031 (81.837)
Epoch: [76][6910/14090]	Time 0.743 (0.755)	Data 0.001 (0.002)	Loss 1.8238 (1.8132)	Prec@1 53.906 (52.399)	Prec@5 79.688 (81.836)
Epoch: [76][6920/14090]	Time 0.736 (0.755)	Data 0.001 (0.002)	Loss 1.8969 (1.8132)	Prec@1 46.875 (52.400)	Prec@5 83.594 (81.837)
Epoch: [76][6930/14090]	Time 0.740 (0.755)	Data 0.001 (0.002)	Loss 1.8166 (1.8132)	Prec@1 52.344 (52.401)	Prec@5 85.156 (81.837)
Epoch: [76][6940/14090]	Time 0.756 (0.755)	Data 0.001 (0.002)	Loss 1.7153 (1.8132)	Prec@1 56.250 (52.403)	Prec@5 84.375 (81.837)
Epoch: [76][6950/14090]	Time 0.744 (0.755)	Data 0.001 (0.002)	Loss 1.9950 (1.8132)	Prec@1 50.000 (52.401)	Prec@5 77.344 (81.835)
Epoch: [76][6960/14090]	Time 0.793 (0.755)	Data 0.001 (0.002)	Loss 1.6151 (1.8131)	Prec@1 58.594 (52.402)	Prec@5 85.938 (81.836)
Epoch: [76][6970/14090]	Time 0.757 (0.755)	Data 0.001 (0.002)	Loss 1.8101 (1.8132)	Prec@1 49.219 (52.399)	Prec@5 82.031 (81.835)
Epoch: [76][6980/14090]	Time 0.737 (0.755)	Data 0.001 (0.002)	Loss 1.8962 (1.8132)	Prec@1 50.000 (52.400)	Prec@5 82.031 (81.835)
Epoch: [76][6990/14090]	Time 0.748 (0.755)	Data 0.001 (0.002)	Loss 1.8082 (1.8132)	Prec@1 52.344 (52.401)	Prec@5 82.812 (81.835)
Epoch: [76][7000/14090]	Time 0.751 (0.755)	Data 0.001 (0.002)	Loss 2.0023 (1.8132)	Prec@1 47.656 (52.400)	Prec@5 78.906 (81.833)
Epoch: [76][7010/14090]	Time 0.763 (0.755)	Data 0.001 (0.002)	Loss 1.8829 (1.8133)	Prec@1 42.188 (52.398)	Prec@5 82.812 (81.833)
Epoch: [76][7020/14090]	Time 0.778 (0.755)	Data 0.001 (0.002)	Loss 1.8009 (1.8133)	Prec@1 52.344 (52.398)	Prec@5 85.156 (81.834)
Epoch: [76][7030/14090]	Time 0.746 (0.755)	Data 0.001 (0.002)	Loss 1.9911 (1.8133)	Prec@1 52.344 (52.398)	Prec@5 78.906 (81.834)
Epoch: [76][7040/14090]	Time 0.770 (0.755)	Data 0.001 (0.002)	Loss 1.5941 (1.8132)	Prec@1 61.719 (52.399)	Prec@5 86.719 (81.835)
Epoch: [76][7050/14090]	Time 0.745 (0.755)	Data 0.001 (0.002)	Loss 1.7283 (1.8133)	Prec@1 57.812 (52.398)	Prec@5 84.375 (81.833)
Epoch: [76][7060/14090]	Time 0.745 (0.755)	Data 0.001 (0.002)	Loss 2.0026 (1.8135)	Prec@1 49.219 (52.394)	Prec@5 76.562 (81.832)
Epoch: [76][7070/14090]	Time 0.750 (0.755)	Data 0.001 (0.002)	Loss 1.9632 (1.8136)	Prec@1 46.094 (52.393)	Prec@5 82.031 (81.830)
Epoch: [76][7080/14090]	Time 0.730 (0.755)	Data 0.001 (0.002)	Loss 1.6714 (1.8136)	Prec@1 57.031 (52.391)	Prec@5 85.156 (81.831)
Epoch: [76][7090/14090]	Time 0.754 (0.755)	Data 0.001 (0.002)	Loss 1.6330 (1.8137)	Prec@1 56.250 (52.388)	Prec@5 85.938 (81.830)
Epoch: [76][7100/14090]	Time 0.753 (0.755)	Data 0.001 (0.002)	Loss 1.8944 (1.8137)	Prec@1 54.688 (52.387)	Prec@5 76.562 (81.830)
Epoch: [76][7110/14090]	Time 0.755 (0.755)	Data 0.002 (0.002)	Loss 1.6090 (1.8136)	Prec@1 53.125 (52.389)	Prec@5 86.719 (81.832)
Epoch: [76][7120/14090]	Time 0.725 (0.755)	Data 0.001 (0.002)	Loss 1.5320 (1.8136)	Prec@1 52.344 (52.387)	Prec@5 91.406 (81.831)
Epoch: [76][7130/14090]	Time 0.746 (0.755)	Data 0.001 (0.002)	Loss 1.7854 (1.8135)	Prec@1 54.688 (52.390)	Prec@5 82.031 (81.834)
Epoch: [76][7140/14090]	Time 0.732 (0.755)	Data 0.001 (0.002)	Loss 1.7691 (1.8136)	Prec@1 56.250 (52.385)	Prec@5 82.812 (81.834)
Epoch: [76][7150/14090]	Time 0.747 (0.755)	Data 0.001 (0.002)	Loss 1.7850 (1.8136)	Prec@1 53.125 (52.386)	Prec@5 82.031 (81.834)
Epoch: [76][7160/14090]	Time 0.733 (0.755)	Data 0.001 (0.002)	Loss 1.8091 (1.8137)	Prec@1 50.000 (52.383)	Prec@5 80.469 (81.830)
Epoch: [76][7170/14090]	Time 0.739 (0.755)	Data 0.001 (0.002)	Loss 1.6701 (1.8137)	Prec@1 56.250 (52.380)	Prec@5 82.812 (81.828)
Epoch: [76][7180/14090]	Time 0.776 (0.755)	Data 0.001 (0.002)	Loss 2.0199 (1.8138)	Prec@1 47.656 (52.381)	Prec@5 76.562 (81.827)
Epoch: [76][7190/14090]	Time 0.772 (0.755)	Data 0.001 (0.002)	Loss 1.6721 (1.8138)	Prec@1 58.594 (52.381)	Prec@5 83.594 (81.829)
Epoch: [76][7200/14090]	Time 0.775 (0.755)	Data 0.001 (0.002)	Loss 2.1735 (1.8138)	Prec@1 44.531 (52.381)	Prec@5 81.250 (81.830)
Epoch: [76][7210/14090]	Time 0.731 (0.755)	Data 0.001 (0.002)	Loss 1.6088 (1.8138)	Prec@1 60.938 (52.380)	Prec@5 86.719 (81.829)
Epoch: [76][7220/14090]	Time 0.730 (0.755)	Data 0.001 (0.002)	Loss 1.6901 (1.8139)	Prec@1 54.688 (52.377)	Prec@5 83.594 (81.828)
Epoch: [76][7230/14090]	Time 0.763 (0.755)	Data 0.001 (0.002)	Loss 1.9091 (1.8139)	Prec@1 50.000 (52.378)	Prec@5 78.125 (81.826)
Epoch: [76][7240/14090]	Time 0.744 (0.755)	Data 0.001 (0.002)	Loss 1.8542 (1.8139)	Prec@1 53.906 (52.377)	Prec@5 80.469 (81.826)
Epoch: [76][7250/14090]	Time 0.737 (0.755)	Data 0.001 (0.002)	Loss 1.5048 (1.8139)	Prec@1 57.812 (52.379)	Prec@5 86.719 (81.826)
Epoch: [76][7260/14090]	Time 0.768 (0.755)	Data 0.001 (0.002)	Loss 1.8920 (1.8137)	Prec@1 50.781 (52.383)	Prec@5 77.344 (81.828)
Epoch: [76][7270/14090]	Time 0.736 (0.755)	Data 0.001 (0.002)	Loss 1.7494 (1.8138)	Prec@1 56.250 (52.383)	Prec@5 85.156 (81.828)
Epoch: [76][7280/14090]	Time 0.733 (0.755)	Data 0.001 (0.001)	Loss 2.0159 (1.8138)	Prec@1 47.656 (52.382)	Prec@5 78.125 (81.828)
Epoch: [76][7290/14090]	Time 0.735 (0.755)	Data 0.001 (0.001)	Loss 1.7047 (1.8137)	Prec@1 55.469 (52.385)	Prec@5 82.031 (81.830)
Epoch: [76][7300/14090]	Time 0.721 (0.755)	Data 0.001 (0.001)	Loss 1.6359 (1.8137)	Prec@1 56.250 (52.384)	Prec@5 85.156 (81.830)
Epoch: [76][7310/14090]	Time 0.766 (0.755)	Data 0.001 (0.001)	Loss 1.5263 (1.8136)	Prec@1 56.250 (52.386)	Prec@5 89.844 (81.832)
Epoch: [76][7320/14090]	Time 0.733 (0.755)	Data 0.001 (0.001)	Loss 1.9617 (1.8137)	Prec@1 48.438 (52.385)	Prec@5 77.344 (81.830)
Epoch: [76][7330/14090]	Time 0.776 (0.755)	Data 0.003 (0.001)	Loss 2.0747 (1.8139)	Prec@1 48.438 (52.383)	Prec@5 81.250 (81.829)
Epoch: [76][7340/14090]	Time 0.749 (0.755)	Data 0.001 (0.001)	Loss 1.8468 (1.8140)	Prec@1 48.438 (52.379)	Prec@5 84.375 (81.827)
Epoch: [76][7350/14090]	Time 0.734 (0.755)	Data 0.001 (0.001)	Loss 1.9487 (1.8141)	Prec@1 50.000 (52.376)	Prec@5 82.031 (81.826)
Epoch: [76][7360/14090]	Time 0.754 (0.755)	Data 0.001 (0.001)	Loss 1.7351 (1.8142)	Prec@1 54.688 (52.376)	Prec@5 85.938 (81.826)
Epoch: [76][7370/14090]	Time 0.737 (0.755)	Data 0.001 (0.001)	Loss 1.7531 (1.8142)	Prec@1 57.812 (52.377)	Prec@5 83.594 (81.825)
Epoch: [76][7380/14090]	Time 0.740 (0.755)	Data 0.001 (0.001)	Loss 1.7451 (1.8142)	Prec@1 52.344 (52.377)	Prec@5 80.469 (81.825)
Epoch: [76][7390/14090]	Time 0.728 (0.755)	Data 0.001 (0.001)	Loss 1.7736 (1.8143)	Prec@1 56.250 (52.375)	Prec@5 80.469 (81.823)
Epoch: [76][7400/14090]	Time 0.760 (0.755)	Data 0.001 (0.001)	Loss 1.7085 (1.8142)	Prec@1 59.375 (52.376)	Prec@5 85.156 (81.826)
Epoch: [76][7410/14090]	Time 0.776 (0.755)	Data 0.001 (0.001)	Loss 2.0137 (1.8142)	Prec@1 46.875 (52.374)	Prec@5 78.125 (81.826)
Epoch: [76][7420/14090]	Time 0.732 (0.755)	Data 0.001 (0.001)	Loss 1.8088 (1.8142)	Prec@1 46.094 (52.369)	Prec@5 85.938 (81.828)
Epoch: [76][7430/14090]	Time 0.742 (0.755)	Data 0.001 (0.001)	Loss 1.6288 (1.8142)	Prec@1 53.125 (52.370)	Prec@5 85.938 (81.827)
Epoch: [76][7440/14090]	Time 0.751 (0.755)	Data 0.001 (0.001)	Loss 1.5737 (1.8140)	Prec@1 59.375 (52.375)	Prec@5 82.031 (81.829)
Epoch: [76][7450/14090]	Time 0.768 (0.755)	Data 0.001 (0.001)	Loss 1.6149 (1.8139)	Prec@1 60.156 (52.376)	Prec@5 89.062 (81.832)
Epoch: [76][7460/14090]	Time 0.749 (0.755)	Data 0.001 (0.001)	Loss 1.9098 (1.8139)	Prec@1 52.344 (52.379)	Prec@5 79.688 (81.833)
Epoch: [76][7470/14090]	Time 0.770 (0.755)	Data 0.001 (0.001)	Loss 2.0330 (1.8139)	Prec@1 46.094 (52.378)	Prec@5 78.906 (81.834)
Epoch: [76][7480/14090]	Time 0.762 (0.755)	Data 0.001 (0.001)	Loss 1.6765 (1.8139)	Prec@1 59.375 (52.378)	Prec@5 82.031 (81.834)
Epoch: [76][7490/14090]	Time 0.765 (0.755)	Data 0.001 (0.001)	Loss 1.5230 (1.8138)	Prec@1 58.594 (52.381)	Prec@5 88.281 (81.836)
Epoch: [76][7500/14090]	Time 0.771 (0.755)	Data 0.001 (0.001)	Loss 1.9442 (1.8138)	Prec@1 56.250 (52.382)	Prec@5 78.125 (81.836)
Epoch: [76][7510/14090]	Time 0.782 (0.755)	Data 0.001 (0.001)	Loss 1.9140 (1.8138)	Prec@1 48.438 (52.382)	Prec@5 81.250 (81.836)
Epoch: [76][7520/14090]	Time 0.758 (0.755)	Data 0.001 (0.001)	Loss 1.8533 (1.8138)	Prec@1 50.781 (52.381)	Prec@5 84.375 (81.836)
Epoch: [76][7530/14090]	Time 0.752 (0.755)	Data 0.001 (0.001)	Loss 1.8049 (1.8139)	Prec@1 57.812 (52.380)	Prec@5 81.250 (81.836)
Epoch: [76][7540/14090]	Time 0.731 (0.755)	Data 0.001 (0.001)	Loss 1.7709 (1.8139)	Prec@1 57.812 (52.381)	Prec@5 76.562 (81.836)
Epoch: [76][7550/14090]	Time 0.787 (0.755)	Data 0.001 (0.001)	Loss 1.8368 (1.8140)	Prec@1 52.344 (52.380)	Prec@5 80.469 (81.835)
Epoch: [76][7560/14090]	Time 0.746 (0.755)	Data 0.001 (0.001)	Loss 1.7022 (1.8138)	Prec@1 54.688 (52.383)	Prec@5 83.594 (81.837)
Epoch: [76][7570/14090]	Time 0.769 (0.755)	Data 0.003 (0.001)	Loss 1.5262 (1.8138)	Prec@1 57.812 (52.383)	Prec@5 87.500 (81.837)
Epoch: [76][7580/14090]	Time 0.788 (0.755)	Data 0.001 (0.001)	Loss 1.9365 (1.8139)	Prec@1 50.781 (52.382)	Prec@5 79.688 (81.836)
Epoch: [76][7590/14090]	Time 0.760 (0.755)	Data 0.001 (0.001)	Loss 1.8580 (1.8139)	Prec@1 50.781 (52.381)	Prec@5 79.688 (81.836)
Epoch: [76][7600/14090]	Time 0.756 (0.755)	Data 0.001 (0.001)	Loss 1.6680 (1.8140)	Prec@1 57.812 (52.381)	Prec@5 84.375 (81.834)
Epoch: [76][7610/14090]	Time 0.786 (0.755)	Data 0.001 (0.001)	Loss 1.7692 (1.8140)	Prec@1 53.125 (52.379)	Prec@5 85.938 (81.834)
Epoch: [76][7620/14090]	Time 0.770 (0.755)	Data 0.001 (0.001)	Loss 1.6548 (1.8140)	Prec@1 55.469 (52.379)	Prec@5 82.812 (81.833)
Epoch: [76][7630/14090]	Time 0.750 (0.755)	Data 0.001 (0.001)	Loss 1.8015 (1.8140)	Prec@1 50.781 (52.380)	Prec@5 82.812 (81.833)
Epoch: [76][7640/14090]	Time 0.733 (0.755)	Data 0.001 (0.001)	Loss 1.9750 (1.8140)	Prec@1 47.656 (52.383)	Prec@5 78.125 (81.834)
Epoch: [76][7650/14090]	Time 0.762 (0.755)	Data 0.001 (0.001)	Loss 1.6484 (1.8139)	Prec@1 55.469 (52.386)	Prec@5 83.594 (81.834)
Epoch: [76][7660/14090]	Time 0.735 (0.755)	Data 0.001 (0.001)	Loss 1.9549 (1.8139)	Prec@1 46.875 (52.386)	Prec@5 78.125 (81.835)
Epoch: [76][7670/14090]	Time 0.748 (0.755)	Data 0.001 (0.001)	Loss 2.0592 (1.8140)	Prec@1 50.000 (52.384)	Prec@5 79.688 (81.833)
Epoch: [76][7680/14090]	Time 0.752 (0.755)	Data 0.001 (0.001)	Loss 1.9114 (1.8140)	Prec@1 51.562 (52.385)	Prec@5 82.812 (81.834)
Epoch: [76][7690/14090]	Time 0.731 (0.755)	Data 0.001 (0.001)	Loss 1.7136 (1.8140)	Prec@1 53.906 (52.382)	Prec@5 79.688 (81.833)
Epoch: [76][7700/14090]	Time 0.780 (0.755)	Data 0.001 (0.001)	Loss 1.7168 (1.8139)	Prec@1 53.906 (52.385)	Prec@5 86.719 (81.833)
Epoch: [76][7710/14090]	Time 0.741 (0.755)	Data 0.001 (0.001)	Loss 1.7016 (1.8139)	Prec@1 54.688 (52.382)	Prec@5 85.938 (81.834)
Epoch: [76][7720/14090]	Time 0.738 (0.755)	Data 0.001 (0.001)	Loss 2.0802 (1.8140)	Prec@1 50.781 (52.382)	Prec@5 75.781 (81.833)
Epoch: [76][7730/14090]	Time 0.739 (0.755)	Data 0.001 (0.001)	Loss 1.7084 (1.8139)	Prec@1 56.250 (52.383)	Prec@5 82.812 (81.833)
Epoch: [76][7740/14090]	Time 0.771 (0.755)	Data 0.001 (0.001)	Loss 1.7405 (1.8139)	Prec@1 54.688 (52.384)	Prec@5 82.812 (81.836)
Epoch: [76][7750/14090]	Time 0.739 (0.755)	Data 0.001 (0.001)	Loss 2.0156 (1.8139)	Prec@1 45.312 (52.383)	Prec@5 76.562 (81.835)
Epoch: [76][7760/14090]	Time 0.749 (0.755)	Data 0.001 (0.001)	Loss 2.0066 (1.8139)	Prec@1 50.000 (52.384)	Prec@5 81.250 (81.835)
Epoch: [76][7770/14090]	Time 0.729 (0.755)	Data 0.001 (0.001)	Loss 1.6131 (1.8139)	Prec@1 53.906 (52.383)	Prec@5 84.375 (81.835)
Epoch: [76][7780/14090]	Time 0.755 (0.755)	Data 0.001 (0.001)	Loss 2.0135 (1.8139)	Prec@1 50.781 (52.382)	Prec@5 78.906 (81.835)
Epoch: [76][7790/14090]	Time 0.742 (0.755)	Data 0.001 (0.001)	Loss 1.9967 (1.8141)	Prec@1 48.438 (52.377)	Prec@5 77.344 (81.831)
Epoch: [76][7800/14090]	Time 0.744 (0.755)	Data 0.001 (0.001)	Loss 2.0435 (1.8140)	Prec@1 49.219 (52.378)	Prec@5 75.781 (81.832)
Epoch: [76][7810/14090]	Time 0.740 (0.755)	Data 0.001 (0.001)	Loss 1.8482 (1.8141)	Prec@1 51.562 (52.375)	Prec@5 81.250 (81.832)
Epoch: [76][7820/14090]	Time 0.755 (0.755)	Data 0.001 (0.001)	Loss 1.8684 (1.8140)	Prec@1 52.344 (52.378)	Prec@5 79.688 (81.834)
Epoch: [76][7830/14090]	Time 0.761 (0.755)	Data 0.001 (0.001)	Loss 1.8420 (1.8139)	Prec@1 53.906 (52.378)	Prec@5 83.594 (81.836)
Epoch: [76][7840/14090]	Time 0.788 (0.755)	Data 0.001 (0.001)	Loss 1.8172 (1.8139)	Prec@1 53.906 (52.380)	Prec@5 84.375 (81.836)
Epoch: [76][7850/14090]	Time 0.743 (0.755)	Data 0.001 (0.001)	Loss 1.8212 (1.8138)	Prec@1 53.125 (52.381)	Prec@5 85.156 (81.838)
Epoch: [76][7860/14090]	Time 0.733 (0.755)	Data 0.001 (0.001)	Loss 1.8698 (1.8137)	Prec@1 51.562 (52.380)	Prec@5 82.031 (81.840)
Epoch: [76][7870/14090]	Time 0.740 (0.755)	Data 0.001 (0.001)	Loss 1.8447 (1.8138)	Prec@1 51.562 (52.379)	Prec@5 82.031 (81.840)
Epoch: [76][7880/14090]	Time 0.760 (0.755)	Data 0.001 (0.001)	Loss 1.9976 (1.8139)	Prec@1 51.562 (52.376)	Prec@5 78.125 (81.838)
Epoch: [76][7890/14090]	Time 0.738 (0.755)	Data 0.001 (0.001)	Loss 1.6182 (1.8138)	Prec@1 53.125 (52.377)	Prec@5 83.594 (81.839)
Epoch: [76][7900/14090]	Time 0.741 (0.755)	Data 0.001 (0.001)	Loss 1.8583 (1.8138)	Prec@1 53.125 (52.379)	Prec@5 81.250 (81.840)
Epoch: [76][7910/14090]	Time 0.745 (0.755)	Data 0.001 (0.001)	Loss 1.6201 (1.8138)	Prec@1 52.344 (52.379)	Prec@5 83.594 (81.840)
Epoch: [76][7920/14090]	Time 0.759 (0.755)	Data 0.001 (0.001)	Loss 1.5901 (1.8137)	Prec@1 59.375 (52.382)	Prec@5 86.719 (81.842)
Epoch: [76][7930/14090]	Time 0.744 (0.755)	Data 0.001 (0.001)	Loss 1.8223 (1.8137)	Prec@1 52.344 (52.382)	Prec@5 78.906 (81.843)
Epoch: [76][7940/14090]	Time 0.751 (0.755)	Data 0.001 (0.001)	Loss 1.5901 (1.8136)	Prec@1 63.281 (52.384)	Prec@5 85.156 (81.844)
Epoch: [76][7950/14090]	Time 0.751 (0.755)	Data 0.001 (0.001)	Loss 1.9501 (1.8137)	Prec@1 46.875 (52.382)	Prec@5 82.031 (81.842)
Epoch: [76][7960/14090]	Time 0.746 (0.755)	Data 0.001 (0.001)	Loss 2.0945 (1.8138)	Prec@1 47.656 (52.379)	Prec@5 74.219 (81.839)
Epoch: [76][7970/14090]	Time 0.751 (0.755)	Data 0.001 (0.001)	Loss 1.8739 (1.8139)	Prec@1 49.219 (52.378)	Prec@5 84.375 (81.839)
Epoch: [76][7980/14090]	Time 0.756 (0.755)	Data 0.001 (0.001)	Loss 2.0435 (1.8139)	Prec@1 50.000 (52.377)	Prec@5 76.562 (81.839)
Epoch: [76][7990/14090]	Time 0.742 (0.755)	Data 0.001 (0.001)	Loss 1.6699 (1.8139)	Prec@1 54.688 (52.380)	Prec@5 81.250 (81.840)
Epoch: [76][8000/14090]	Time 0.758 (0.755)	Data 0.001 (0.001)	Loss 1.9902 (1.8139)	Prec@1 54.688 (52.380)	Prec@5 77.344 (81.839)
Epoch: [76][8010/14090]	Time 0.728 (0.755)	Data 0.001 (0.001)	Loss 1.7821 (1.8139)	Prec@1 53.125 (52.379)	Prec@5 81.250 (81.840)
Epoch: [76][8020/14090]	Time 0.746 (0.755)	Data 0.001 (0.001)	Loss 1.7636 (1.8138)	Prec@1 57.812 (52.382)	Prec@5 82.031 (81.841)
Epoch: [76][8030/14090]	Time 0.762 (0.755)	Data 0.001 (0.001)	Loss 1.9262 (1.8137)	Prec@1 54.688 (52.383)	Prec@5 77.344 (81.843)
Epoch: [76][8040/14090]	Time 0.757 (0.755)	Data 0.001 (0.001)	Loss 1.7690 (1.8137)	Prec@1 48.438 (52.383)	Prec@5 85.156 (81.844)
Epoch: [76][8050/14090]	Time 0.737 (0.755)	Data 0.001 (0.001)	Loss 1.7650 (1.8138)	Prec@1 54.688 (52.381)	Prec@5 82.031 (81.840)
Epoch: [76][8060/14090]	Time 0.725 (0.755)	Data 0.001 (0.001)	Loss 1.7158 (1.8138)	Prec@1 53.906 (52.382)	Prec@5 86.719 (81.842)
Epoch: [76][8070/14090]	Time 0.753 (0.755)	Data 0.001 (0.001)	Loss 1.7351 (1.8138)	Prec@1 56.250 (52.381)	Prec@5 81.250 (81.841)
Epoch: [76][8080/14090]	Time 0.744 (0.755)	Data 0.001 (0.001)	Loss 1.8696 (1.8140)	Prec@1 50.781 (52.376)	Prec@5 79.688 (81.838)
Epoch: [76][8090/14090]	Time 0.734 (0.755)	Data 0.001 (0.001)	Loss 1.7165 (1.8140)	Prec@1 49.219 (52.375)	Prec@5 82.031 (81.837)
Epoch: [76][8100/14090]	Time 0.766 (0.755)	Data 0.001 (0.001)	Loss 1.7355 (1.8140)	Prec@1 53.906 (52.376)	Prec@5 83.594 (81.838)
Epoch: [76][8110/14090]	Time 0.775 (0.755)	Data 0.001 (0.001)	Loss 2.0701 (1.8140)	Prec@1 44.531 (52.374)	Prec@5 78.125 (81.837)
Epoch: [76][8120/14090]	Time 0.785 (0.755)	Data 0.001 (0.001)	Loss 1.6630 (1.8140)	Prec@1 56.250 (52.374)	Prec@5 82.031 (81.836)
Epoch: [76][8130/14090]	Time 0.782 (0.755)	Data 0.001 (0.001)	Loss 1.9589 (1.8141)	Prec@1 53.906 (52.375)	Prec@5 75.000 (81.836)
Epoch: [76][8140/14090]	Time 0.749 (0.755)	Data 0.001 (0.001)	Loss 1.8443 (1.8141)	Prec@1 53.906 (52.373)	Prec@5 83.594 (81.834)
Epoch: [76][8150/14090]	Time 0.783 (0.755)	Data 0.001 (0.001)	Loss 1.7151 (1.8141)	Prec@1 53.906 (52.374)	Prec@5 84.375 (81.835)
Epoch: [76][8160/14090]	Time 0.757 (0.755)	Data 0.001 (0.001)	Loss 1.8476 (1.8139)	Prec@1 49.219 (52.375)	Prec@5 82.031 (81.837)
Epoch: [76][8170/14090]	Time 0.783 (0.755)	Data 0.001 (0.001)	Loss 1.8263 (1.8140)	Prec@1 50.781 (52.372)	Prec@5 81.250 (81.835)
Epoch: [76][8180/14090]	Time 0.744 (0.755)	Data 0.001 (0.001)	Loss 2.0028 (1.8139)	Prec@1 50.781 (52.372)	Prec@5 80.469 (81.834)
Epoch: [76][8190/14090]	Time 0.759 (0.755)	Data 0.001 (0.001)	Loss 1.8068 (1.8139)	Prec@1 49.219 (52.373)	Prec@5 82.031 (81.833)
Epoch: [76][8200/14090]	Time 0.741 (0.755)	Data 0.001 (0.001)	Loss 1.8014 (1.8139)	Prec@1 50.781 (52.372)	Prec@5 84.375 (81.832)
Epoch: [76][8210/14090]	Time 0.747 (0.755)	Data 0.001 (0.001)	Loss 1.9065 (1.8141)	Prec@1 50.781 (52.370)	Prec@5 79.688 (81.831)
Epoch: [76][8220/14090]	Time 0.758 (0.755)	Data 0.001 (0.001)	Loss 1.9785 (1.8140)	Prec@1 50.781 (52.371)	Prec@5 76.562 (81.831)
Epoch: [76][8230/14090]	Time 0.742 (0.755)	Data 0.001 (0.001)	Loss 1.6506 (1.8141)	Prec@1 53.125 (52.370)	Prec@5 88.281 (81.830)
Epoch: [76][8240/14090]	Time 0.770 (0.755)	Data 0.001 (0.001)	Loss 1.8719 (1.8140)	Prec@1 53.125 (52.370)	Prec@5 82.031 (81.830)
Epoch: [76][8250/14090]	Time 0.776 (0.755)	Data 0.001 (0.001)	Loss 1.7614 (1.8139)	Prec@1 52.344 (52.371)	Prec@5 84.375 (81.832)
Epoch: [76][8260/14090]	Time 0.761 (0.755)	Data 0.001 (0.001)	Loss 1.6259 (1.8139)	Prec@1 57.812 (52.372)	Prec@5 88.281 (81.833)
Epoch: [76][8270/14090]	Time 0.732 (0.755)	Data 0.001 (0.001)	Loss 1.8859 (1.8140)	Prec@1 50.000 (52.370)	Prec@5 81.250 (81.832)
Epoch: [76][8280/14090]	Time 0.730 (0.755)	Data 0.001 (0.001)	Loss 1.5872 (1.8141)	Prec@1 55.469 (52.368)	Prec@5 86.719 (81.831)
Epoch: [76][8290/14090]	Time 0.777 (0.755)	Data 0.001 (0.001)	Loss 1.9054 (1.8141)	Prec@1 47.656 (52.367)	Prec@5 82.812 (81.830)
Epoch: [76][8300/14090]	Time 0.735 (0.755)	Data 0.001 (0.001)	Loss 1.9068 (1.8142)	Prec@1 53.906 (52.365)	Prec@5 76.562 (81.827)
Epoch: [76][8310/14090]	Time 0.758 (0.755)	Data 0.001 (0.001)	Loss 1.6981 (1.8141)	Prec@1 58.594 (52.366)	Prec@5 82.812 (81.829)
Epoch: [76][8320/14090]	Time 0.731 (0.755)	Data 0.001 (0.001)	Loss 1.8716 (1.8141)	Prec@1 52.344 (52.368)	Prec@5 82.812 (81.828)
Epoch: [76][8330/14090]	Time 0.747 (0.755)	Data 0.001 (0.001)	Loss 1.8754 (1.8141)	Prec@1 57.031 (52.368)	Prec@5 78.125 (81.827)
Epoch: [76][8340/14090]	Time 0.775 (0.755)	Data 0.001 (0.001)	Loss 1.9071 (1.8142)	Prec@1 44.531 (52.368)	Prec@5 78.906 (81.824)
Epoch: [76][8350/14090]	Time 0.736 (0.755)	Data 0.001 (0.001)	Loss 1.9410 (1.8142)	Prec@1 48.438 (52.368)	Prec@5 78.906 (81.823)
Epoch: [76][8360/14090]	Time 0.784 (0.755)	Data 0.001 (0.001)	Loss 1.6652 (1.8142)	Prec@1 55.469 (52.367)	Prec@5 85.156 (81.822)
Epoch: [76][8370/14090]	Time 0.763 (0.755)	Data 0.001 (0.001)	Loss 1.5702 (1.8143)	Prec@1 53.125 (52.366)	Prec@5 89.062 (81.821)
Epoch: [76][8380/14090]	Time 0.774 (0.755)	Data 0.001 (0.001)	Loss 1.8180 (1.8143)	Prec@1 53.906 (52.365)	Prec@5 81.250 (81.819)
Epoch: [76][8390/14090]	Time 0.738 (0.755)	Data 0.001 (0.001)	Loss 1.8340 (1.8143)	Prec@1 55.469 (52.366)	Prec@5 80.469 (81.818)
Epoch: [76][8400/14090]	Time 0.750 (0.755)	Data 0.001 (0.001)	Loss 1.8012 (1.8143)	Prec@1 53.906 (52.366)	Prec@5 78.906 (81.816)
Epoch: [76][8410/14090]	Time 0.748 (0.755)	Data 0.001 (0.001)	Loss 2.0141 (1.8144)	Prec@1 51.562 (52.365)	Prec@5 74.219 (81.815)
Epoch: [76][8420/14090]	Time 0.743 (0.755)	Data 0.001 (0.001)	Loss 1.6669 (1.8145)	Prec@1 57.812 (52.364)	Prec@5 84.375 (81.813)
Epoch: [76][8430/14090]	Time 0.740 (0.755)	Data 0.001 (0.001)	Loss 1.7581 (1.8144)	Prec@1 52.344 (52.363)	Prec@5 78.906 (81.813)
Epoch: [76][8440/14090]	Time 0.745 (0.755)	Data 0.001 (0.001)	Loss 1.8074 (1.8146)	Prec@1 62.500 (52.361)	Prec@5 81.250 (81.810)
Epoch: [76][8450/14090]	Time 0.785 (0.755)	Data 0.001 (0.001)	Loss 1.8270 (1.8145)	Prec@1 56.250 (52.361)	Prec@5 82.812 (81.811)
Epoch: [76][8460/14090]	Time 0.739 (0.755)	Data 0.001 (0.001)	Loss 1.9648 (1.8145)	Prec@1 52.344 (52.359)	Prec@5 78.125 (81.811)
Epoch: [76][8470/14090]	Time 0.731 (0.755)	Data 0.001 (0.001)	Loss 2.0473 (1.8146)	Prec@1 46.094 (52.355)	Prec@5 79.688 (81.808)
Epoch: [76][8480/14090]	Time 0.736 (0.755)	Data 0.001 (0.001)	Loss 1.8779 (1.8145)	Prec@1 50.000 (52.357)	Prec@5 82.812 (81.812)
Epoch: [76][8490/14090]	Time 0.754 (0.755)	Data 0.001 (0.001)	Loss 1.9401 (1.8146)	Prec@1 41.406 (52.357)	Prec@5 80.469 (81.811)
Epoch: [76][8500/14090]	Time 0.751 (0.755)	Data 0.001 (0.001)	Loss 1.6783 (1.8147)	Prec@1 57.812 (52.357)	Prec@5 85.938 (81.810)
Epoch: [76][8510/14090]	Time 0.747 (0.755)	Data 0.001 (0.001)	Loss 1.6807 (1.8146)	Prec@1 57.031 (52.360)	Prec@5 82.812 (81.810)
Epoch: [76][8520/14090]	Time 0.753 (0.755)	Data 0.001 (0.001)	Loss 1.6805 (1.8146)	Prec@1 62.500 (52.362)	Prec@5 81.250 (81.811)
Epoch: [76][8530/14090]	Time 0.759 (0.755)	Data 0.001 (0.001)	Loss 2.0210 (1.8146)	Prec@1 43.750 (52.361)	Prec@5 78.906 (81.812)
Epoch: [76][8540/14090]	Time 0.753 (0.755)	Data 0.001 (0.001)	Loss 2.0467 (1.8146)	Prec@1 44.531 (52.358)	Prec@5 82.812 (81.811)
Epoch: [76][8550/14090]	Time 0.737 (0.755)	Data 0.001 (0.001)	Loss 1.8665 (1.8147)	Prec@1 50.000 (52.358)	Prec@5 79.688 (81.810)
Epoch: [76][8560/14090]	Time 0.735 (0.755)	Data 0.001 (0.001)	Loss 1.9837 (1.8147)	Prec@1 48.438 (52.357)	Prec@5 75.781 (81.810)
Epoch: [76][8570/14090]	Time 0.740 (0.755)	Data 0.001 (0.001)	Loss 1.9349 (1.8147)	Prec@1 50.781 (52.359)	Prec@5 78.125 (81.811)
Epoch: [76][8580/14090]	Time 0.728 (0.755)	Data 0.001 (0.001)	Loss 1.6919 (1.8147)	Prec@1 52.344 (52.359)	Prec@5 84.375 (81.810)
Epoch: [76][8590/14090]	Time 0.749 (0.755)	Data 0.001 (0.001)	Loss 2.0775 (1.8148)	Prec@1 44.531 (52.356)	Prec@5 78.906 (81.809)
Epoch: [76][8600/14090]	Time 0.724 (0.755)	Data 0.001 (0.001)	Loss 2.0356 (1.8148)	Prec@1 47.656 (52.355)	Prec@5 77.344 (81.809)
Epoch: [76][8610/14090]	Time 0.786 (0.755)	Data 0.001 (0.001)	Loss 1.6482 (1.8148)	Prec@1 53.906 (52.356)	Prec@5 85.156 (81.809)
Epoch: [76][8620/14090]	Time 0.727 (0.755)	Data 0.001 (0.001)	Loss 1.7284 (1.8148)	Prec@1 53.906 (52.355)	Prec@5 89.062 (81.809)
Epoch: [76][8630/14090]	Time 0.734 (0.755)	Data 0.001 (0.001)	Loss 1.9759 (1.8149)	Prec@1 46.094 (52.355)	Prec@5 78.906 (81.807)
Epoch: [76][8640/14090]	Time 0.737 (0.755)	Data 0.001 (0.001)	Loss 1.6143 (1.8148)	Prec@1 57.031 (52.357)	Prec@5 85.156 (81.810)
Epoch: [76][8650/14090]	Time 0.846 (0.755)	Data 0.001 (0.001)	Loss 1.6632 (1.8148)	Prec@1 54.688 (52.356)	Prec@5 85.156 (81.810)
Epoch: [76][8660/14090]	Time 0.759 (0.755)	Data 0.001 (0.001)	Loss 1.6193 (1.8148)	Prec@1 53.906 (52.357)	Prec@5 81.250 (81.809)
Epoch: [76][8670/14090]	Time 0.736 (0.755)	Data 0.001 (0.001)	Loss 1.7710 (1.8147)	Prec@1 54.688 (52.360)	Prec@5 82.812 (81.809)
Epoch: [76][8680/14090]	Time 0.787 (0.755)	Data 0.001 (0.001)	Loss 1.9823 (1.8148)	Prec@1 53.906 (52.359)	Prec@5 80.469 (81.808)
Epoch: [76][8690/14090]	Time 0.781 (0.755)	Data 0.001 (0.001)	Loss 2.0580 (1.8149)	Prec@1 47.656 (52.356)	Prec@5 77.344 (81.805)
Epoch: [76][8700/14090]	Time 0.753 (0.755)	Data 0.001 (0.001)	Loss 1.7872 (1.8148)	Prec@1 54.688 (52.357)	Prec@5 82.031 (81.806)
Epoch: [76][8710/14090]	Time 0.729 (0.755)	Data 0.001 (0.001)	Loss 1.7303 (1.8149)	Prec@1 52.344 (52.354)	Prec@5 82.812 (81.804)
Epoch: [76][8720/14090]	Time 0.732 (0.755)	Data 0.001 (0.001)	Loss 1.9794 (1.8149)	Prec@1 53.125 (52.353)	Prec@5 78.125 (81.804)
Epoch: [76][8730/14090]	Time 0.754 (0.755)	Data 0.001 (0.001)	Loss 2.1051 (1.8150)	Prec@1 40.625 (52.350)	Prec@5 79.688 (81.804)
Epoch: [76][8740/14090]	Time 0.777 (0.755)	Data 0.001 (0.001)	Loss 1.4322 (1.8149)	Prec@1 59.375 (52.352)	Prec@5 85.156 (81.802)
Epoch: [76][8750/14090]	Time 0.735 (0.755)	Data 0.001 (0.001)	Loss 1.6622 (1.8150)	Prec@1 50.000 (52.351)	Prec@5 87.500 (81.802)
Epoch: [76][8760/14090]	Time 0.741 (0.755)	Data 0.001 (0.001)	Loss 1.4609 (1.8149)	Prec@1 62.500 (52.353)	Prec@5 83.594 (81.803)
Epoch: [76][8770/14090]	Time 0.739 (0.755)	Data 0.001 (0.001)	Loss 1.7527 (1.8148)	Prec@1 57.812 (52.354)	Prec@5 81.250 (81.805)
Epoch: [76][8780/14090]	Time 0.743 (0.755)	Data 0.001 (0.001)	Loss 2.0887 (1.8149)	Prec@1 47.656 (52.352)	Prec@5 76.562 (81.804)
Epoch: [76][8790/14090]	Time 0.729 (0.755)	Data 0.001 (0.001)	Loss 1.6872 (1.8149)	Prec@1 54.688 (52.352)	Prec@5 86.719 (81.804)
Epoch: [76][8800/14090]	Time 0.737 (0.755)	Data 0.001 (0.001)	Loss 1.7991 (1.8149)	Prec@1 49.219 (52.347)	Prec@5 84.375 (81.802)
Epoch: [76][8810/14090]	Time 0.787 (0.755)	Data 0.001 (0.001)	Loss 1.7180 (1.8149)	Prec@1 56.250 (52.349)	Prec@5 81.250 (81.803)
Epoch: [76][8820/14090]	Time 0.756 (0.755)	Data 0.001 (0.001)	Loss 1.5974 (1.8148)	Prec@1 58.594 (52.350)	Prec@5 82.031 (81.803)
Epoch: [76][8830/14090]	Time 0.786 (0.755)	Data 0.001 (0.001)	Loss 1.8329 (1.8149)	Prec@1 50.000 (52.350)	Prec@5 81.250 (81.802)
Epoch: [76][8840/14090]	Time 0.723 (0.755)	Data 0.001 (0.001)	Loss 1.8240 (1.8149)	Prec@1 50.781 (52.350)	Prec@5 82.812 (81.802)
Epoch: [76][8850/14090]	Time 0.746 (0.755)	Data 0.001 (0.001)	Loss 1.9270 (1.8148)	Prec@1 46.875 (52.350)	Prec@5 78.906 (81.802)
Epoch: [76][8860/14090]	Time 0.775 (0.755)	Data 0.002 (0.001)	Loss 2.0457 (1.8149)	Prec@1 50.781 (52.349)	Prec@5 77.344 (81.800)
Epoch: [76][8870/14090]	Time 0.750 (0.755)	Data 0.001 (0.001)	Loss 1.9884 (1.8149)	Prec@1 50.000 (52.349)	Prec@5 78.125 (81.800)
Epoch: [76][8880/14090]	Time 0.733 (0.755)	Data 0.001 (0.001)	Loss 1.9611 (1.8149)	Prec@1 54.688 (52.349)	Prec@5 73.438 (81.799)
Epoch: [76][8890/14090]	Time 0.748 (0.755)	Data 0.001 (0.001)	Loss 1.7088 (1.8149)	Prec@1 54.688 (52.349)	Prec@5 86.719 (81.799)
Epoch: [76][8900/14090]	Time 0.743 (0.755)	Data 0.001 (0.001)	Loss 1.9899 (1.8150)	Prec@1 46.094 (52.346)	Prec@5 76.562 (81.796)
Epoch: [76][8910/14090]	Time 0.770 (0.755)	Data 0.001 (0.001)	Loss 1.7827 (1.8151)	Prec@1 52.344 (52.343)	Prec@5 79.688 (81.795)
Epoch: [76][8920/14090]	Time 0.735 (0.755)	Data 0.001 (0.001)	Loss 1.8330 (1.8151)	Prec@1 49.219 (52.343)	Prec@5 85.156 (81.796)
Epoch: [76][8930/14090]	Time 0.745 (0.755)	Data 0.002 (0.001)	Loss 1.6002 (1.8151)	Prec@1 56.250 (52.343)	Prec@5 86.719 (81.794)
Epoch: [76][8940/14090]	Time 0.759 (0.755)	Data 0.001 (0.001)	Loss 1.6689 (1.8151)	Prec@1 57.031 (52.343)	Prec@5 83.594 (81.796)
Epoch: [76][8950/14090]	Time 0.752 (0.755)	Data 0.001 (0.001)	Loss 1.6782 (1.8151)	Prec@1 54.688 (52.343)	Prec@5 81.250 (81.796)
Epoch: [76][8960/14090]	Time 0.775 (0.755)	Data 0.001 (0.001)	Loss 1.5912 (1.8151)	Prec@1 57.031 (52.345)	Prec@5 84.375 (81.796)
Epoch: [76][8970/14090]	Time 0.742 (0.755)	Data 0.001 (0.001)	Loss 1.7687 (1.8151)	Prec@1 50.781 (52.347)	Prec@5 79.688 (81.796)
Epoch: [76][8980/14090]	Time 0.736 (0.755)	Data 0.001 (0.001)	Loss 2.0064 (1.8151)	Prec@1 46.875 (52.346)	Prec@5 78.906 (81.795)
Epoch: [76][8990/14090]	Time 0.804 (0.755)	Data 0.001 (0.001)	Loss 1.6286 (1.8150)	Prec@1 55.469 (52.347)	Prec@5 86.719 (81.795)
Epoch: [76][9000/14090]	Time 0.751 (0.755)	Data 0.001 (0.001)	Loss 2.0524 (1.8151)	Prec@1 47.656 (52.346)	Prec@5 79.688 (81.794)
Epoch: [76][9010/14090]	Time 0.779 (0.755)	Data 0.002 (0.001)	Loss 1.8346 (1.8151)	Prec@1 51.562 (52.347)	Prec@5 82.031 (81.794)
Epoch: [76][9020/14090]	Time 0.747 (0.755)	Data 0.001 (0.001)	Loss 1.8616 (1.8152)	Prec@1 46.875 (52.344)	Prec@5 83.594 (81.793)
Epoch: [76][9030/14090]	Time 0.765 (0.755)	Data 0.001 (0.001)	Loss 1.6795 (1.8151)	Prec@1 50.000 (52.343)	Prec@5 84.375 (81.796)
Epoch: [76][9040/14090]	Time 0.755 (0.755)	Data 0.001 (0.001)	Loss 1.7537 (1.8151)	Prec@1 57.031 (52.343)	Prec@5 78.125 (81.795)
Epoch: [76][9050/14090]	Time 0.755 (0.755)	Data 0.001 (0.001)	Loss 2.1681 (1.8152)	Prec@1 44.531 (52.342)	Prec@5 77.344 (81.794)
Epoch: [76][9060/14090]	Time 0.740 (0.755)	Data 0.001 (0.001)	Loss 2.0293 (1.8153)	Prec@1 49.219 (52.342)	Prec@5 82.031 (81.793)
Epoch: [76][9070/14090]	Time 0.767 (0.755)	Data 0.001 (0.001)	Loss 1.4231 (1.8152)	Prec@1 60.938 (52.347)	Prec@5 90.625 (81.794)
Epoch: [76][9080/14090]	Time 0.725 (0.755)	Data 0.001 (0.001)	Loss 1.7168 (1.8152)	Prec@1 54.688 (52.346)	Prec@5 85.156 (81.793)
Epoch: [76][9090/14090]	Time 0.805 (0.755)	Data 0.001 (0.001)	Loss 1.8970 (1.8152)	Prec@1 47.656 (52.348)	Prec@5 82.031 (81.795)
Epoch: [76][9100/14090]	Time 0.766 (0.755)	Data 0.001 (0.001)	Loss 1.7639 (1.8151)	Prec@1 50.000 (52.348)	Prec@5 82.031 (81.795)
Epoch: [76][9110/14090]	Time 0.746 (0.755)	Data 0.001 (0.001)	Loss 1.8461 (1.8151)	Prec@1 53.125 (52.350)	Prec@5 80.469 (81.796)
Epoch: [76][9120/14090]	Time 0.731 (0.755)	Data 0.001 (0.001)	Loss 1.6857 (1.8151)	Prec@1 53.125 (52.347)	Prec@5 84.375 (81.797)
Epoch: [76][9130/14090]	Time 0.782 (0.755)	Data 0.002 (0.001)	Loss 1.8231 (1.8151)	Prec@1 57.031 (52.348)	Prec@5 82.031 (81.797)
Epoch: [76][9140/14090]	Time 0.724 (0.755)	Data 0.001 (0.001)	Loss 1.6606 (1.8151)	Prec@1 54.688 (52.347)	Prec@5 82.812 (81.796)
Epoch: [76][9150/14090]	Time 0.769 (0.755)	Data 0.001 (0.001)	Loss 1.9476 (1.8151)	Prec@1 45.312 (52.348)	Prec@5 77.344 (81.797)
Epoch: [76][9160/14090]	Time 0.760 (0.755)	Data 0.001 (0.001)	Loss 1.7202 (1.8151)	Prec@1 57.812 (52.348)	Prec@5 78.906 (81.794)
Epoch: [76][9170/14090]	Time 0.746 (0.755)	Data 0.001 (0.001)	Loss 2.0096 (1.8151)	Prec@1 50.781 (52.350)	Prec@5 78.906 (81.794)
Epoch: [76][9180/14090]	Time 0.742 (0.755)	Data 0.001 (0.001)	Loss 1.7969 (1.8151)	Prec@1 57.031 (52.350)	Prec@5 78.125 (81.794)
Epoch: [76][9190/14090]	Time 0.771 (0.755)	Data 0.001 (0.001)	Loss 1.8379 (1.8150)	Prec@1 51.562 (52.350)	Prec@5 78.906 (81.795)
Epoch: [76][9200/14090]	Time 0.736 (0.755)	Data 0.001 (0.001)	Loss 1.9177 (1.8150)	Prec@1 48.438 (52.351)	Prec@5 80.469 (81.795)
Epoch: [76][9210/14090]	Time 0.795 (0.755)	Data 0.001 (0.001)	Loss 1.6889 (1.8150)	Prec@1 53.125 (52.351)	Prec@5 83.594 (81.795)
Epoch: [76][9220/14090]	Time 0.777 (0.755)	Data 0.001 (0.001)	Loss 1.8383 (1.8150)	Prec@1 49.219 (52.350)	Prec@5 79.688 (81.796)
Epoch: [76][9230/14090]	Time 0.740 (0.755)	Data 0.001 (0.001)	Loss 1.8521 (1.8150)	Prec@1 46.875 (52.349)	Prec@5 81.250 (81.796)
Epoch: [76][9240/14090]	Time 0.755 (0.755)	Data 0.001 (0.001)	Loss 1.6373 (1.8150)	Prec@1 58.594 (52.350)	Prec@5 84.375 (81.795)
Epoch: [76][9250/14090]	Time 0.772 (0.755)	Data 0.001 (0.001)	Loss 1.8257 (1.8150)	Prec@1 53.125 (52.350)	Prec@5 80.469 (81.796)
Epoch: [76][9260/14090]	Time 0.756 (0.755)	Data 0.001 (0.001)	Loss 2.0785 (1.8151)	Prec@1 46.094 (52.347)	Prec@5 73.438 (81.794)
Epoch: [76][9270/14090]	Time 0.741 (0.755)	Data 0.001 (0.001)	Loss 1.7143 (1.8151)	Prec@1 54.688 (52.349)	Prec@5 83.594 (81.795)
Epoch: [76][9280/14090]	Time 0.801 (0.755)	Data 0.001 (0.001)	Loss 1.8045 (1.8151)	Prec@1 50.781 (52.348)	Prec@5 82.812 (81.795)
Epoch: [76][9290/14090]	Time 0.727 (0.755)	Data 0.001 (0.001)	Loss 1.7304 (1.8151)	Prec@1 53.125 (52.349)	Prec@5 78.906 (81.794)
Epoch: [76][9300/14090]	Time 0.733 (0.755)	Data 0.001 (0.001)	Loss 1.9412 (1.8152)	Prec@1 49.219 (52.346)	Prec@5 78.125 (81.792)
Epoch: [76][9310/14090]	Time 0.749 (0.755)	Data 0.001 (0.001)	Loss 1.8115 (1.8153)	Prec@1 50.000 (52.344)	Prec@5 82.031 (81.790)
Epoch: [76][9320/14090]	Time 0.745 (0.755)	Data 0.001 (0.001)	Loss 1.9676 (1.8153)	Prec@1 46.094 (52.344)	Prec@5 82.812 (81.788)
Epoch: [76][9330/14090]	Time 0.756 (0.755)	Data 0.001 (0.001)	Loss 1.8389 (1.8154)	Prec@1 51.562 (52.342)	Prec@5 82.812 (81.788)
Epoch: [76][9340/14090]	Time 0.731 (0.755)	Data 0.001 (0.001)	Loss 2.0410 (1.8153)	Prec@1 53.125 (52.344)	Prec@5 78.125 (81.787)
Epoch: [76][9350/14090]	Time 0.734 (0.755)	Data 0.001 (0.001)	Loss 2.2154 (1.8154)	Prec@1 39.062 (52.341)	Prec@5 74.219 (81.785)
Epoch: [76][9360/14090]	Time 0.766 (0.755)	Data 0.001 (0.001)	Loss 1.5662 (1.8154)	Prec@1 53.906 (52.340)	Prec@5 85.938 (81.785)
Epoch: [76][9370/14090]	Time 0.765 (0.755)	Data 0.001 (0.001)	Loss 1.9445 (1.8155)	Prec@1 47.656 (52.338)	Prec@5 78.125 (81.785)
Epoch: [76][9380/14090]	Time 0.778 (0.755)	Data 0.001 (0.001)	Loss 2.2077 (1.8156)	Prec@1 46.094 (52.334)	Prec@5 77.344 (81.783)
Epoch: [76][9390/14090]	Time 0.755 (0.755)	Data 0.001 (0.001)	Loss 1.7635 (1.8156)	Prec@1 57.031 (52.334)	Prec@5 81.250 (81.782)
Epoch: [76][9400/14090]	Time 0.740 (0.755)	Data 0.001 (0.001)	Loss 1.5968 (1.8157)	Prec@1 54.688 (52.331)	Prec@5 84.375 (81.782)
Epoch: [76][9410/14090]	Time 0.735 (0.755)	Data 0.001 (0.001)	Loss 2.0372 (1.8158)	Prec@1 49.219 (52.328)	Prec@5 78.906 (81.780)
Epoch: [76][9420/14090]	Time 0.752 (0.755)	Data 0.001 (0.001)	Loss 1.8892 (1.8157)	Prec@1 49.219 (52.329)	Prec@5 82.031 (81.782)
Epoch: [76][9430/14090]	Time 0.741 (0.755)	Data 0.001 (0.001)	Loss 1.8805 (1.8158)	Prec@1 50.781 (52.327)	Prec@5 83.594 (81.781)
Epoch: [76][9440/14090]	Time 0.751 (0.755)	Data 0.001 (0.001)	Loss 1.8433 (1.8158)	Prec@1 52.344 (52.326)	Prec@5 80.469 (81.780)
Epoch: [76][9450/14090]	Time 0.745 (0.755)	Data 0.001 (0.001)	Loss 2.1843 (1.8159)	Prec@1 47.656 (52.324)	Prec@5 71.875 (81.777)
Epoch: [76][9460/14090]	Time 0.733 (0.755)	Data 0.001 (0.001)	Loss 1.7416 (1.8159)	Prec@1 51.562 (52.325)	Prec@5 82.031 (81.778)
Epoch: [76][9470/14090]	Time 0.771 (0.755)	Data 0.001 (0.001)	Loss 1.9853 (1.8159)	Prec@1 52.344 (52.325)	Prec@5 80.469 (81.780)
Epoch: [76][9480/14090]	Time 0.782 (0.755)	Data 0.001 (0.001)	Loss 1.8227 (1.8159)	Prec@1 50.000 (52.324)	Prec@5 83.594 (81.780)
Epoch: [76][9490/14090]	Time 0.748 (0.755)	Data 0.001 (0.001)	Loss 1.7975 (1.8159)	Prec@1 50.000 (52.323)	Prec@5 78.125 (81.779)
Epoch: [76][9500/14090]	Time 0.724 (0.755)	Data 0.001 (0.001)	Loss 1.8237 (1.8158)	Prec@1 49.219 (52.323)	Prec@5 80.469 (81.780)
Epoch: [76][9510/14090]	Time 0.751 (0.755)	Data 0.001 (0.001)	Loss 1.9510 (1.8158)	Prec@1 53.125 (52.324)	Prec@5 78.906 (81.780)
Epoch: [76][9520/14090]	Time 0.732 (0.755)	Data 0.001 (0.001)	Loss 1.6418 (1.8159)	Prec@1 56.250 (52.325)	Prec@5 86.719 (81.779)
Epoch: [76][9530/14090]	Time 0.737 (0.755)	Data 0.001 (0.001)	Loss 1.7732 (1.8159)	Prec@1 59.375 (52.323)	Prec@5 77.344 (81.778)
Epoch: [76][9540/14090]	Time 0.776 (0.755)	Data 0.001 (0.001)	Loss 2.0210 (1.8159)	Prec@1 46.094 (52.323)	Prec@5 75.781 (81.779)
Epoch: [76][9550/14090]	Time 0.762 (0.755)	Data 0.001 (0.001)	Loss 1.7730 (1.8159)	Prec@1 50.781 (52.319)	Prec@5 81.250 (81.777)
Epoch: [76][9560/14090]	Time 0.732 (0.755)	Data 0.001 (0.001)	Loss 1.6700 (1.8160)	Prec@1 56.250 (52.318)	Prec@5 82.812 (81.776)
Epoch: [76][9570/14090]	Time 0.735 (0.755)	Data 0.001 (0.001)	Loss 1.7813 (1.8160)	Prec@1 55.469 (52.317)	Prec@5 81.250 (81.774)
Epoch: [76][9580/14090]	Time 0.734 (0.755)	Data 0.001 (0.001)	Loss 1.5566 (1.8160)	Prec@1 63.281 (52.319)	Prec@5 82.812 (81.773)
Epoch: [76][9590/14090]	Time 0.764 (0.755)	Data 0.001 (0.001)	Loss 1.8742 (1.8160)	Prec@1 51.562 (52.318)	Prec@5 79.688 (81.773)
Epoch: [76][9600/14090]	Time 0.769 (0.755)	Data 0.001 (0.001)	Loss 1.8596 (1.8161)	Prec@1 50.000 (52.318)	Prec@5 82.812 (81.771)
Epoch: [76][9610/14090]	Time 0.743 (0.755)	Data 0.001 (0.001)	Loss 1.7553 (1.8161)	Prec@1 53.906 (52.317)	Prec@5 83.594 (81.772)
Epoch: [76][9620/14090]	Time 0.733 (0.755)	Data 0.001 (0.001)	Loss 1.6100 (1.8161)	Prec@1 53.906 (52.318)	Prec@5 85.156 (81.771)
Epoch: [76][9630/14090]	Time 0.791 (0.755)	Data 0.001 (0.001)	Loss 1.9252 (1.8162)	Prec@1 56.250 (52.315)	Prec@5 81.250 (81.769)
Epoch: [76][9640/14090]	Time 0.770 (0.755)	Data 0.001 (0.001)	Loss 1.8259 (1.8162)	Prec@1 50.000 (52.313)	Prec@5 82.031 (81.770)
Epoch: [76][9650/14090]	Time 0.759 (0.755)	Data 0.001 (0.001)	Loss 1.9899 (1.8162)	Prec@1 51.562 (52.313)	Prec@5 79.688 (81.769)
Epoch: [76][9660/14090]	Time 0.752 (0.755)	Data 0.001 (0.001)	Loss 1.5586 (1.8162)	Prec@1 58.594 (52.315)	Prec@5 85.938 (81.770)
Epoch: [76][9670/14090]	Time 0.757 (0.755)	Data 0.001 (0.001)	Loss 1.9656 (1.8163)	Prec@1 48.438 (52.314)	Prec@5 79.688 (81.770)
Epoch: [76][9680/14090]	Time 0.784 (0.755)	Data 0.001 (0.001)	Loss 1.6068 (1.8161)	Prec@1 50.781 (52.316)	Prec@5 88.281 (81.773)
Epoch: [76][9690/14090]	Time 0.742 (0.755)	Data 0.001 (0.001)	Loss 1.9332 (1.8162)	Prec@1 50.000 (52.314)	Prec@5 79.688 (81.772)
Epoch: [76][9700/14090]	Time 0.732 (0.755)	Data 0.001 (0.001)	Loss 1.9308 (1.8162)	Prec@1 49.219 (52.314)	Prec@5 80.469 (81.772)
Epoch: [76][9710/14090]	Time 0.775 (0.755)	Data 0.001 (0.001)	Loss 1.7933 (1.8162)	Prec@1 50.000 (52.313)	Prec@5 85.938 (81.773)
Epoch: [76][9720/14090]	Time 0.750 (0.755)	Data 0.001 (0.001)	Loss 1.7350 (1.8162)	Prec@1 50.000 (52.313)	Prec@5 80.469 (81.774)
Epoch: [76][9730/14090]	Time 0.739 (0.755)	Data 0.001 (0.001)	Loss 2.3057 (1.8163)	Prec@1 50.000 (52.312)	Prec@5 77.344 (81.772)
Epoch: [76][9740/14090]	Time 0.729 (0.755)	Data 0.001 (0.001)	Loss 1.7103 (1.8162)	Prec@1 52.344 (52.312)	Prec@5 81.250 (81.772)
Epoch: [76][9750/14090]	Time 0.733 (0.755)	Data 0.001 (0.001)	Loss 1.8809 (1.8163)	Prec@1 50.000 (52.311)	Prec@5 79.688 (81.771)
Epoch: [76][9760/14090]	Time 0.757 (0.755)	Data 0.001 (0.001)	Loss 1.5873 (1.8163)	Prec@1 61.719 (52.311)	Prec@5 87.500 (81.769)
Epoch: [76][9770/14090]	Time 0.770 (0.755)	Data 0.001 (0.001)	Loss 1.8310 (1.8163)	Prec@1 53.125 (52.309)	Prec@5 81.250 (81.768)
Epoch: [76][9780/14090]	Time 0.734 (0.755)	Data 0.001 (0.001)	Loss 1.8906 (1.8163)	Prec@1 49.219 (52.309)	Prec@5 82.031 (81.767)
Epoch: [76][9790/14090]	Time 0.735 (0.755)	Data 0.001 (0.001)	Loss 1.5869 (1.8164)	Prec@1 56.250 (52.308)	Prec@5 85.156 (81.767)
Epoch: [76][9800/14090]	Time 0.778 (0.755)	Data 0.001 (0.001)	Loss 1.8248 (1.8164)	Prec@1 54.688 (52.309)	Prec@5 78.125 (81.766)
Epoch: [76][9810/14090]	Time 0.739 (0.755)	Data 0.001 (0.001)	Loss 1.7282 (1.8165)	Prec@1 54.688 (52.306)	Prec@5 79.688 (81.764)
Epoch: [76][9820/14090]	Time 0.729 (0.755)	Data 0.001 (0.001)	Loss 1.8154 (1.8165)	Prec@1 50.000 (52.305)	Prec@5 83.594 (81.764)
Epoch: [76][9830/14090]	Time 0.756 (0.755)	Data 0.001 (0.001)	Loss 1.5983 (1.8164)	Prec@1 53.125 (52.308)	Prec@5 83.594 (81.765)
Epoch: [76][9840/14090]	Time 0.750 (0.755)	Data 0.001 (0.001)	Loss 2.0595 (1.8165)	Prec@1 50.000 (52.308)	Prec@5 78.125 (81.765)
Epoch: [76][9850/14090]	Time 0.734 (0.755)	Data 0.001 (0.001)	Loss 1.5911 (1.8165)	Prec@1 51.562 (52.307)	Prec@5 84.375 (81.764)
Epoch: [76][9860/14090]	Time 0.734 (0.755)	Data 0.001 (0.001)	Loss 1.8410 (1.8165)	Prec@1 52.344 (52.307)	Prec@5 85.156 (81.764)
Epoch: [76][9870/14090]	Time 0.743 (0.755)	Data 0.001 (0.001)	Loss 2.1126 (1.8165)	Prec@1 48.438 (52.305)	Prec@5 72.656 (81.762)
Epoch: [76][9880/14090]	Time 0.742 (0.755)	Data 0.001 (0.001)	Loss 2.0466 (1.8166)	Prec@1 45.312 (52.305)	Prec@5 77.344 (81.762)
Epoch: [76][9890/14090]	Time 0.774 (0.755)	Data 0.001 (0.001)	Loss 1.9533 (1.8165)	Prec@1 52.344 (52.304)	Prec@5 82.031 (81.763)
Epoch: [76][9900/14090]	Time 0.760 (0.755)	Data 0.001 (0.001)	Loss 1.8156 (1.8165)	Prec@1 47.656 (52.305)	Prec@5 83.594 (81.763)
Epoch: [76][9910/14090]	Time 0.791 (0.755)	Data 0.001 (0.001)	Loss 1.7216 (1.8164)	Prec@1 60.156 (52.306)	Prec@5 85.938 (81.765)
Epoch: [76][9920/14090]	Time 0.743 (0.755)	Data 0.001 (0.001)	Loss 1.7292 (1.8164)	Prec@1 51.562 (52.307)	Prec@5 84.375 (81.766)
Epoch: [76][9930/14090]	Time 0.730 (0.755)	Data 0.001 (0.001)	Loss 1.9913 (1.8164)	Prec@1 50.781 (52.307)	Prec@5 80.469 (81.765)
Epoch: [76][9940/14090]	Time 0.750 (0.755)	Data 0.001 (0.001)	Loss 1.6778 (1.8164)	Prec@1 51.562 (52.307)	Prec@5 83.594 (81.766)
Epoch: [76][9950/14090]	Time 0.733 (0.755)	Data 0.001 (0.001)	Loss 1.7751 (1.8164)	Prec@1 52.344 (52.306)	Prec@5 81.250 (81.767)
Epoch: [76][9960/14090]	Time 0.741 (0.755)	Data 0.001 (0.001)	Loss 1.7661 (1.8164)	Prec@1 53.906 (52.306)	Prec@5 75.781 (81.766)
Epoch: [76][9970/14090]	Time 0.736 (0.755)	Data 0.001 (0.001)	Loss 2.1174 (1.8164)	Prec@1 46.094 (52.307)	Prec@5 78.125 (81.767)
Epoch: [76][9980/14090]	Time 0.827 (0.755)	Data 0.001 (0.001)	Loss 1.6637 (1.8165)	Prec@1 56.250 (52.305)	Prec@5 84.375 (81.766)
Epoch: [76][9990/14090]	Time 0.754 (0.755)	Data 0.001 (0.001)	Loss 2.0161 (1.8165)	Prec@1 47.656 (52.303)	Prec@5 77.344 (81.764)
Epoch: [76][10000/14090]	Time 0.783 (0.755)	Data 0.001 (0.001)	Loss 1.7193 (1.8166)	Prec@1 57.031 (52.303)	Prec@5 80.469 (81.762)
Epoch: [76][10010/14090]	Time 0.753 (0.755)	Data 0.001 (0.001)	Loss 1.9699 (1.8167)	Prec@1 47.656 (52.300)	Prec@5 80.469 (81.760)
Epoch: [76][10020/14090]	Time 0.730 (0.755)	Data 0.001 (0.001)	Loss 1.9320 (1.8167)	Prec@1 50.000 (52.299)	Prec@5 78.125 (81.761)
Epoch: [76][10030/14090]	Time 0.751 (0.755)	Data 0.001 (0.001)	Loss 1.9735 (1.8167)	Prec@1 52.344 (52.298)	Prec@5 76.562 (81.759)
Epoch: [76][10040/14090]	Time 0.749 (0.755)	Data 0.001 (0.001)	Loss 1.5174 (1.8167)	Prec@1 57.812 (52.300)	Prec@5 86.719 (81.759)
Epoch: [76][10050/14090]	Time 0.744 (0.755)	Data 0.001 (0.001)	Loss 1.9472 (1.8167)	Prec@1 45.312 (52.298)	Prec@5 79.688 (81.761)
Epoch: [76][10060/14090]	Time 0.752 (0.755)	Data 0.001 (0.001)	Loss 2.0198 (1.8167)	Prec@1 50.000 (52.300)	Prec@5 75.781 (81.760)
Epoch: [76][10070/14090]	Time 0.729 (0.755)	Data 0.001 (0.001)	Loss 1.7919 (1.8167)	Prec@1 52.344 (52.301)	Prec@5 76.562 (81.759)
Epoch: [76][10080/14090]	Time 0.758 (0.755)	Data 0.001 (0.001)	Loss 1.8447 (1.8166)	Prec@1 49.219 (52.301)	Prec@5 84.375 (81.759)
Epoch: [76][10090/14090]	Time 0.736 (0.755)	Data 0.001 (0.001)	Loss 1.8543 (1.8166)	Prec@1 54.688 (52.302)	Prec@5 78.125 (81.760)
Epoch: [76][10100/14090]	Time 0.753 (0.755)	Data 0.001 (0.001)	Loss 1.7409 (1.8166)	Prec@1 56.250 (52.303)	Prec@5 80.469 (81.761)
Epoch: [76][10110/14090]	Time 0.756 (0.755)	Data 0.001 (0.001)	Loss 1.7630 (1.8166)	Prec@1 53.906 (52.303)	Prec@5 80.469 (81.761)
Epoch: [76][10120/14090]	Time 0.776 (0.755)	Data 0.001 (0.001)	Loss 1.7917 (1.8166)	Prec@1 55.469 (52.304)	Prec@5 85.156 (81.760)
Epoch: [76][10130/14090]	Time 0.758 (0.755)	Data 0.001 (0.001)	Loss 1.7751 (1.8165)	Prec@1 53.125 (52.307)	Prec@5 83.594 (81.762)
Epoch: [76][10140/14090]	Time 0.740 (0.755)	Data 0.001 (0.001)	Loss 1.5793 (1.8165)	Prec@1 57.812 (52.308)	Prec@5 83.594 (81.762)
Epoch: [76][10150/14090]	Time 0.783 (0.755)	Data 0.001 (0.001)	Loss 2.0221 (1.8165)	Prec@1 51.562 (52.307)	Prec@5 77.344 (81.762)
Epoch: [76][10160/14090]	Time 0.739 (0.755)	Data 0.001 (0.001)	Loss 2.0802 (1.8166)	Prec@1 46.875 (52.305)	Prec@5 77.344 (81.759)
Epoch: [76][10170/14090]	Time 0.755 (0.755)	Data 0.001 (0.001)	Loss 1.9363 (1.8166)	Prec@1 50.781 (52.306)	Prec@5 79.688 (81.758)
Epoch: [76][10180/14090]	Time 0.729 (0.755)	Data 0.001 (0.001)	Loss 1.7943 (1.8167)	Prec@1 57.812 (52.305)	Prec@5 85.938 (81.758)
Epoch: [76][10190/14090]	Time 0.756 (0.755)	Data 0.001 (0.001)	Loss 1.8843 (1.8168)	Prec@1 49.219 (52.303)	Prec@5 83.594 (81.756)
Epoch: [76][10200/14090]	Time 0.744 (0.755)	Data 0.001 (0.001)	Loss 2.0048 (1.8168)	Prec@1 52.344 (52.302)	Prec@5 78.125 (81.757)
Epoch: [76][10210/14090]	Time 0.749 (0.755)	Data 0.001 (0.001)	Loss 1.7691 (1.8168)	Prec@1 54.688 (52.303)	Prec@5 79.688 (81.757)
Epoch: [76][10220/14090]	Time 0.781 (0.755)	Data 0.001 (0.001)	Loss 1.7500 (1.8168)	Prec@1 54.688 (52.304)	Prec@5 78.906 (81.756)
Epoch: [76][10230/14090]	Time 0.776 (0.755)	Data 0.001 (0.001)	Loss 2.0103 (1.8168)	Prec@1 49.219 (52.304)	Prec@5 78.906 (81.754)
Epoch: [76][10240/14090]	Time 0.736 (0.755)	Data 0.001 (0.001)	Loss 1.9094 (1.8169)	Prec@1 50.000 (52.302)	Prec@5 79.688 (81.755)
Epoch: [76][10250/14090]	Time 0.769 (0.755)	Data 0.001 (0.001)	Loss 1.8051 (1.8169)	Prec@1 48.438 (52.299)	Prec@5 85.938 (81.754)
Epoch: [76][10260/14090]	Time 0.732 (0.755)	Data 0.001 (0.001)	Loss 1.7344 (1.8169)	Prec@1 50.000 (52.298)	Prec@5 83.594 (81.754)
Epoch: [76][10270/14090]	Time 0.735 (0.755)	Data 0.001 (0.001)	Loss 1.8664 (1.8169)	Prec@1 50.781 (52.296)	Prec@5 81.250 (81.755)
Epoch: [76][10280/14090]	Time 0.758 (0.755)	Data 0.001 (0.001)	Loss 1.9168 (1.8170)	Prec@1 52.344 (52.297)	Prec@5 79.688 (81.754)
Epoch: [76][10290/14090]	Time 0.756 (0.755)	Data 0.001 (0.001)	Loss 1.9310 (1.8170)	Prec@1 50.781 (52.296)	Prec@5 81.250 (81.753)
Epoch: [76][10300/14090]	Time 0.726 (0.755)	Data 0.001 (0.001)	Loss 2.0155 (1.8170)	Prec@1 49.219 (52.298)	Prec@5 78.906 (81.755)
Epoch: [76][10310/14090]	Time 0.752 (0.755)	Data 0.001 (0.001)	Loss 2.1213 (1.8169)	Prec@1 46.875 (52.299)	Prec@5 75.781 (81.755)
Epoch: [76][10320/14090]	Time 0.749 (0.755)	Data 0.001 (0.001)	Loss 1.8078 (1.8168)	Prec@1 53.906 (52.300)	Prec@5 82.031 (81.756)
Epoch: [76][10330/14090]	Time 0.742 (0.755)	Data 0.001 (0.001)	Loss 1.7461 (1.8169)	Prec@1 52.344 (52.300)	Prec@5 84.375 (81.757)
Epoch: [76][10340/14090]	Time 0.759 (0.755)	Data 0.001 (0.001)	Loss 1.5975 (1.8169)	Prec@1 60.938 (52.300)	Prec@5 87.500 (81.757)
Epoch: [76][10350/14090]	Time 0.738 (0.755)	Data 0.001 (0.001)	Loss 1.8666 (1.8168)	Prec@1 49.219 (52.302)	Prec@5 80.469 (81.759)
Epoch: [76][10360/14090]	Time 0.771 (0.755)	Data 0.001 (0.001)	Loss 1.8021 (1.8167)	Prec@1 53.125 (52.303)	Prec@5 85.938 (81.760)
Epoch: [76][10370/14090]	Time 0.728 (0.755)	Data 0.001 (0.001)	Loss 1.8154 (1.8168)	Prec@1 52.344 (52.302)	Prec@5 83.594 (81.760)
Epoch: [76][10380/14090]	Time 0.765 (0.755)	Data 0.001 (0.001)	Loss 1.8567 (1.8167)	Prec@1 53.906 (52.303)	Prec@5 81.250 (81.761)
Epoch: [76][10390/14090]	Time 0.795 (0.755)	Data 0.001 (0.001)	Loss 1.7685 (1.8167)	Prec@1 52.344 (52.304)	Prec@5 85.938 (81.762)
Epoch: [76][10400/14090]	Time 0.756 (0.755)	Data 0.001 (0.001)	Loss 1.6811 (1.8167)	Prec@1 53.125 (52.302)	Prec@5 81.250 (81.762)
Epoch: [76][10410/14090]	Time 0.732 (0.755)	Data 0.001 (0.001)	Loss 1.7883 (1.8167)	Prec@1 53.125 (52.304)	Prec@5 81.250 (81.762)
Epoch: [76][10420/14090]	Time 0.730 (0.755)	Data 0.001 (0.001)	Loss 1.7444 (1.8167)	Prec@1 52.344 (52.304)	Prec@5 82.812 (81.763)
Epoch: [76][10430/14090]	Time 0.780 (0.755)	Data 0.001 (0.001)	Loss 1.6320 (1.8167)	Prec@1 55.469 (52.306)	Prec@5 84.375 (81.762)
Epoch: [76][10440/14090]	Time 0.753 (0.755)	Data 0.001 (0.001)	Loss 1.6985 (1.8166)	Prec@1 56.250 (52.309)	Prec@5 82.812 (81.763)
Epoch: [76][10450/14090]	Time 0.722 (0.755)	Data 0.001 (0.001)	Loss 1.7877 (1.8166)	Prec@1 53.906 (52.307)	Prec@5 82.812 (81.764)
Epoch: [76][10460/14090]	Time 0.761 (0.755)	Data 0.001 (0.001)	Loss 1.4846 (1.8165)	Prec@1 63.281 (52.308)	Prec@5 88.281 (81.764)
Epoch: [76][10470/14090]	Time 0.751 (0.755)	Data 0.001 (0.001)	Loss 2.0899 (1.8166)	Prec@1 46.094 (52.306)	Prec@5 77.344 (81.764)
Epoch: [76][10480/14090]	Time 0.780 (0.755)	Data 0.001 (0.001)	Loss 1.9516 (1.8166)	Prec@1 51.562 (52.306)	Prec@5 75.781 (81.765)
Epoch: [76][10490/14090]	Time 0.769 (0.755)	Data 0.001 (0.001)	Loss 1.8901 (1.8166)	Prec@1 51.562 (52.306)	Prec@5 81.250 (81.764)
Epoch: [76][10500/14090]	Time 0.736 (0.755)	Data 0.001 (0.001)	Loss 1.9681 (1.8166)	Prec@1 48.438 (52.308)	Prec@5 74.219 (81.763)
Epoch: [76][10510/14090]	Time 0.755 (0.755)	Data 0.001 (0.001)	Loss 1.7765 (1.8167)	Prec@1 53.906 (52.307)	Prec@5 78.906 (81.761)
Epoch: [76][10520/14090]	Time 0.784 (0.755)	Data 0.001 (0.001)	Loss 1.7366 (1.8166)	Prec@1 53.125 (52.309)	Prec@5 81.250 (81.763)
Epoch: [76][10530/14090]	Time 0.740 (0.755)	Data 0.001 (0.001)	Loss 1.8986 (1.8167)	Prec@1 51.562 (52.308)	Prec@5 79.688 (81.762)
Epoch: [76][10540/14090]	Time 0.776 (0.755)	Data 0.001 (0.001)	Loss 1.8969 (1.8166)	Prec@1 50.781 (52.309)	Prec@5 82.031 (81.762)
Epoch: [76][10550/14090]	Time 0.735 (0.755)	Data 0.001 (0.001)	Loss 1.8799 (1.8167)	Prec@1 51.562 (52.308)	Prec@5 82.812 (81.762)
Epoch: [76][10560/14090]	Time 0.758 (0.755)	Data 0.001 (0.001)	Loss 1.6645 (1.8167)	Prec@1 57.812 (52.310)	Prec@5 85.938 (81.761)
Epoch: [76][10570/14090]	Time 0.770 (0.755)	Data 0.001 (0.001)	Loss 1.6804 (1.8167)	Prec@1 53.125 (52.308)	Prec@5 84.375 (81.762)
Epoch: [76][10580/14090]	Time 0.762 (0.755)	Data 0.001 (0.001)	Loss 1.7279 (1.8168)	Prec@1 55.469 (52.305)	Prec@5 81.250 (81.760)
Epoch: [76][10590/14090]	Time 0.740 (0.755)	Data 0.001 (0.001)	Loss 2.0096 (1.8168)	Prec@1 45.312 (52.304)	Prec@5 82.031 (81.760)
Epoch: [76][10600/14090]	Time 0.726 (0.755)	Data 0.001 (0.001)	Loss 1.7562 (1.8167)	Prec@1 50.781 (52.305)	Prec@5 82.031 (81.761)
Epoch: [76][10610/14090]	Time 0.753 (0.755)	Data 0.001 (0.001)	Loss 1.9986 (1.8167)	Prec@1 46.875 (52.305)	Prec@5 78.125 (81.762)
Epoch: [76][10620/14090]	Time 0.753 (0.755)	Data 0.001 (0.001)	Loss 1.8305 (1.8167)	Prec@1 52.344 (52.305)	Prec@5 78.906 (81.761)
Epoch: [76][10630/14090]	Time 0.739 (0.755)	Data 0.001 (0.001)	Loss 1.8211 (1.8168)	Prec@1 54.688 (52.304)	Prec@5 77.344 (81.759)
Epoch: [76][10640/14090]	Time 0.759 (0.755)	Data 0.001 (0.001)	Loss 1.6992 (1.8168)	Prec@1 54.688 (52.303)	Prec@5 85.156 (81.759)
Epoch: [76][10650/14090]	Time 0.760 (0.755)	Data 0.001 (0.001)	Loss 1.9459 (1.8168)	Prec@1 51.562 (52.303)	Prec@5 77.344 (81.758)
Epoch: [76][10660/14090]	Time 0.738 (0.755)	Data 0.001 (0.001)	Loss 1.9891 (1.8168)	Prec@1 50.000 (52.302)	Prec@5 80.469 (81.760)
Epoch: [76][10670/14090]	Time 0.735 (0.755)	Data 0.001 (0.001)	Loss 2.0254 (1.8168)	Prec@1 51.562 (52.303)	Prec@5 80.469 (81.759)
Epoch: [76][10680/14090]	Time 0.744 (0.755)	Data 0.001 (0.001)	Loss 1.9031 (1.8169)	Prec@1 51.562 (52.301)	Prec@5 78.906 (81.759)
Epoch: [76][10690/14090]	Time 0.743 (0.755)	Data 0.001 (0.001)	Loss 1.8247 (1.8169)	Prec@1 53.906 (52.301)	Prec@5 80.469 (81.759)
Epoch: [76][10700/14090]	Time 0.761 (0.755)	Data 0.001 (0.001)	Loss 1.7610 (1.8169)	Prec@1 49.219 (52.302)	Prec@5 86.719 (81.760)
Epoch: [76][10710/14090]	Time 0.734 (0.755)	Data 0.001 (0.001)	Loss 1.9396 (1.8169)	Prec@1 52.344 (52.303)	Prec@5 76.562 (81.759)
Epoch: [76][10720/14090]	Time 0.740 (0.755)	Data 0.001 (0.001)	Loss 1.6818 (1.8169)	Prec@1 50.781 (52.304)	Prec@5 83.594 (81.757)
Epoch: [76][10730/14090]	Time 0.750 (0.755)	Data 0.001 (0.001)	Loss 1.6162 (1.8169)	Prec@1 55.469 (52.302)	Prec@5 83.594 (81.755)
Epoch: [76][10740/14090]	Time 0.729 (0.755)	Data 0.001 (0.001)	Loss 1.7405 (1.8169)	Prec@1 53.125 (52.303)	Prec@5 82.812 (81.756)
Epoch: [76][10750/14090]	Time 0.761 (0.755)	Data 0.001 (0.001)	Loss 1.7599 (1.8169)	Prec@1 52.344 (52.305)	Prec@5 82.031 (81.756)
Epoch: [76][10760/14090]	Time 0.726 (0.755)	Data 0.001 (0.001)	Loss 1.8322 (1.8169)	Prec@1 52.344 (52.305)	Prec@5 81.250 (81.757)
Epoch: [76][10770/14090]	Time 0.740 (0.755)	Data 0.001 (0.001)	Loss 1.7078 (1.8170)	Prec@1 51.562 (52.303)	Prec@5 82.812 (81.755)
Epoch: [76][10780/14090]	Time 0.760 (0.755)	Data 0.001 (0.001)	Loss 1.6950 (1.8170)	Prec@1 52.344 (52.304)	Prec@5 88.281 (81.756)
Epoch: [76][10790/14090]	Time 0.770 (0.755)	Data 0.001 (0.001)	Loss 1.8703 (1.8170)	Prec@1 51.562 (52.304)	Prec@5 83.594 (81.757)
Epoch: [76][10800/14090]	Time 0.733 (0.755)	Data 0.001 (0.001)	Loss 2.2488 (1.8170)	Prec@1 46.875 (52.302)	Prec@5 78.125 (81.755)
Epoch: [76][10810/14090]	Time 0.757 (0.755)	Data 0.001 (0.001)	Loss 1.8061 (1.8170)	Prec@1 51.562 (52.303)	Prec@5 82.031 (81.756)
Epoch: [76][10820/14090]	Time 0.782 (0.755)	Data 0.001 (0.001)	Loss 1.7220 (1.8169)	Prec@1 50.781 (52.305)	Prec@5 82.812 (81.758)
Epoch: [76][10830/14090]	Time 0.762 (0.755)	Data 0.001 (0.001)	Loss 1.9157 (1.8170)	Prec@1 50.781 (52.301)	Prec@5 75.781 (81.756)
Epoch: [76][10840/14090]	Time 0.726 (0.755)	Data 0.001 (0.001)	Loss 1.8592 (1.8170)	Prec@1 50.000 (52.302)	Prec@5 80.469 (81.756)
Epoch: [76][10850/14090]	Time 0.780 (0.755)	Data 0.001 (0.001)	Loss 1.9189 (1.8170)	Prec@1 53.125 (52.300)	Prec@5 78.125 (81.756)
Epoch: [76][10860/14090]	Time 0.763 (0.755)	Data 0.001 (0.001)	Loss 2.0192 (1.8170)	Prec@1 50.000 (52.298)	Prec@5 82.812 (81.757)
Epoch: [76][10870/14090]	Time 0.745 (0.755)	Data 0.001 (0.001)	Loss 2.0353 (1.8170)	Prec@1 44.531 (52.299)	Prec@5 78.906 (81.758)
Epoch: [76][10880/14090]	Time 0.732 (0.755)	Data 0.001 (0.001)	Loss 1.8246 (1.8170)	Prec@1 51.562 (52.299)	Prec@5 82.812 (81.757)
Epoch: [76][10890/14090]	Time 0.741 (0.755)	Data 0.001 (0.001)	Loss 2.1194 (1.8170)	Prec@1 41.406 (52.296)	Prec@5 74.219 (81.757)
Epoch: [76][10900/14090]	Time 0.751 (0.755)	Data 0.001 (0.001)	Loss 1.8246 (1.8171)	Prec@1 50.781 (52.296)	Prec@5 82.812 (81.756)
Epoch: [76][10910/14090]	Time 0.735 (0.755)	Data 0.001 (0.001)	Loss 1.9700 (1.8171)	Prec@1 46.875 (52.294)	Prec@5 81.250 (81.755)
Epoch: [76][10920/14090]	Time 0.748 (0.755)	Data 0.002 (0.001)	Loss 1.8788 (1.8171)	Prec@1 47.656 (52.293)	Prec@5 83.594 (81.756)
Epoch: [76][10930/14090]	Time 0.749 (0.755)	Data 0.001 (0.001)	Loss 1.8912 (1.8172)	Prec@1 40.625 (52.293)	Prec@5 83.594 (81.755)
Epoch: [76][10940/14090]	Time 0.749 (0.755)	Data 0.001 (0.001)	Loss 1.6084 (1.8172)	Prec@1 55.469 (52.292)	Prec@5 88.281 (81.755)
Epoch: [76][10950/14090]	Time 0.775 (0.755)	Data 0.001 (0.001)	Loss 1.6128 (1.8172)	Prec@1 58.594 (52.294)	Prec@5 84.375 (81.754)
Epoch: [76][10960/14090]	Time 0.730 (0.755)	Data 0.001 (0.001)	Loss 1.6372 (1.8172)	Prec@1 56.250 (52.294)	Prec@5 84.375 (81.753)
Epoch: [76][10970/14090]	Time 0.743 (0.755)	Data 0.001 (0.001)	Loss 2.0356 (1.8172)	Prec@1 46.875 (52.295)	Prec@5 75.781 (81.753)
Epoch: [76][10980/14090]	Time 0.759 (0.755)	Data 0.001 (0.001)	Loss 1.7244 (1.8172)	Prec@1 58.594 (52.295)	Prec@5 85.156 (81.754)
Epoch: [76][10990/14090]	Time 0.757 (0.755)	Data 0.001 (0.001)	Loss 1.8131 (1.8172)	Prec@1 49.219 (52.295)	Prec@5 85.938 (81.754)
Epoch: [76][11000/14090]	Time 0.747 (0.755)	Data 0.001 (0.001)	Loss 2.0640 (1.8173)	Prec@1 46.094 (52.294)	Prec@5 80.469 (81.755)
Epoch: [76][11010/14090]	Time 0.747 (0.755)	Data 0.001 (0.001)	Loss 1.8588 (1.8173)	Prec@1 57.031 (52.294)	Prec@5 81.250 (81.755)
Epoch: [76][11020/14090]	Time 0.731 (0.755)	Data 0.001 (0.001)	Loss 2.0185 (1.8173)	Prec@1 45.312 (52.294)	Prec@5 81.250 (81.755)
Epoch: [76][11030/14090]	Time 0.758 (0.755)	Data 0.001 (0.001)	Loss 1.8834 (1.8173)	Prec@1 52.344 (52.296)	Prec@5 77.344 (81.755)
Epoch: [76][11040/14090]	Time 0.751 (0.755)	Data 0.001 (0.001)	Loss 1.9695 (1.8173)	Prec@1 52.344 (52.298)	Prec@5 74.219 (81.755)
Epoch: [76][11050/14090]	Time 0.743 (0.755)	Data 0.001 (0.001)	Loss 1.7116 (1.8173)	Prec@1 52.344 (52.297)	Prec@5 82.031 (81.755)
Epoch: [76][11060/14090]	Time 0.755 (0.755)	Data 0.001 (0.001)	Loss 2.0191 (1.8173)	Prec@1 49.219 (52.296)	Prec@5 79.688 (81.755)
Epoch: [76][11070/14090]	Time 0.732 (0.755)	Data 0.001 (0.001)	Loss 2.0367 (1.8173)	Prec@1 49.219 (52.294)	Prec@5 77.344 (81.754)
Epoch: [76][11080/14090]	Time 0.726 (0.755)	Data 0.001 (0.001)	Loss 1.6274 (1.8173)	Prec@1 50.000 (52.292)	Prec@5 90.625 (81.755)
Epoch: [76][11090/14090]	Time 0.786 (0.755)	Data 0.001 (0.001)	Loss 1.9143 (1.8174)	Prec@1 45.312 (52.291)	Prec@5 80.469 (81.753)
Epoch: [76][11100/14090]	Time 0.756 (0.755)	Data 0.001 (0.001)	Loss 1.7508 (1.8174)	Prec@1 57.031 (52.290)	Prec@5 81.250 (81.754)
Epoch: [76][11110/14090]	Time 0.731 (0.755)	Data 0.001 (0.001)	Loss 2.0109 (1.8174)	Prec@1 50.781 (52.291)	Prec@5 77.344 (81.753)
Epoch: [76][11120/14090]	Time 0.772 (0.755)	Data 0.001 (0.001)	Loss 1.7640 (1.8173)	Prec@1 50.000 (52.294)	Prec@5 84.375 (81.755)
Epoch: [76][11130/14090]	Time 0.807 (0.755)	Data 0.001 (0.001)	Loss 1.5561 (1.8174)	Prec@1 55.469 (52.293)	Prec@5 88.281 (81.753)
Epoch: [76][11140/14090]	Time 0.761 (0.755)	Data 0.001 (0.001)	Loss 1.7492 (1.8174)	Prec@1 57.812 (52.292)	Prec@5 82.812 (81.752)
Epoch: [76][11150/14090]	Time 0.731 (0.755)	Data 0.001 (0.001)	Loss 2.0564 (1.8175)	Prec@1 52.344 (52.293)	Prec@5 78.906 (81.752)
Epoch: [76][11160/14090]	Time 0.742 (0.755)	Data 0.001 (0.001)	Loss 1.8595 (1.8176)	Prec@1 50.781 (52.292)	Prec@5 81.250 (81.749)
Epoch: [76][11170/14090]	Time 0.778 (0.755)	Data 0.001 (0.001)	Loss 1.7537 (1.8175)	Prec@1 58.594 (52.293)	Prec@5 78.125 (81.750)
Epoch: [76][11180/14090]	Time 0.746 (0.755)	Data 0.001 (0.001)	Loss 1.8247 (1.8175)	Prec@1 56.250 (52.294)	Prec@5 81.250 (81.750)
Epoch: [76][11190/14090]	Time 0.730 (0.755)	Data 0.001 (0.001)	Loss 1.8683 (1.8175)	Prec@1 57.812 (52.294)	Prec@5 80.469 (81.749)
Epoch: [76][11200/14090]	Time 0.729 (0.755)	Data 0.001 (0.001)	Loss 1.6529 (1.8175)	Prec@1 57.031 (52.296)	Prec@5 84.375 (81.750)
Epoch: [76][11210/14090]	Time 0.760 (0.755)	Data 0.001 (0.001)	Loss 1.7005 (1.8174)	Prec@1 55.469 (52.298)	Prec@5 82.031 (81.751)
Epoch: [76][11220/14090]	Time 0.748 (0.755)	Data 0.001 (0.001)	Loss 1.8169 (1.8175)	Prec@1 52.344 (52.298)	Prec@5 84.375 (81.750)
Epoch: [76][11230/14090]	Time 0.732 (0.755)	Data 0.001 (0.001)	Loss 1.5873 (1.8174)	Prec@1 53.906 (52.297)	Prec@5 88.281 (81.750)
Epoch: [76][11240/14090]	Time 0.781 (0.755)	Data 0.001 (0.001)	Loss 1.9961 (1.8174)	Prec@1 47.656 (52.298)	Prec@5 81.250 (81.751)
Epoch: [76][11250/14090]	Time 0.776 (0.755)	Data 0.001 (0.001)	Loss 1.9064 (1.8174)	Prec@1 53.125 (52.299)	Prec@5 78.125 (81.751)
Epoch: [76][11260/14090]	Time 0.739 (0.755)	Data 0.001 (0.001)	Loss 1.8628 (1.8174)	Prec@1 57.031 (52.301)	Prec@5 79.688 (81.751)
Epoch: [76][11270/14090]	Time 0.796 (0.755)	Data 0.001 (0.001)	Loss 2.0219 (1.8174)	Prec@1 47.656 (52.299)	Prec@5 78.906 (81.751)
Epoch: [76][11280/14090]	Time 0.736 (0.755)	Data 0.001 (0.001)	Loss 1.9022 (1.8173)	Prec@1 51.562 (52.302)	Prec@5 81.250 (81.752)
Epoch: [76][11290/14090]	Time 0.774 (0.755)	Data 0.001 (0.001)	Loss 1.7063 (1.8173)	Prec@1 54.688 (52.302)	Prec@5 82.812 (81.753)
Epoch: [76][11300/14090]	Time 0.768 (0.755)	Data 0.001 (0.001)	Loss 1.7701 (1.8173)	Prec@1 52.344 (52.303)	Prec@5 82.812 (81.753)
Epoch: [76][11310/14090]	Time 0.738 (0.755)	Data 0.001 (0.001)	Loss 1.7376 (1.8173)	Prec@1 53.125 (52.303)	Prec@5 78.125 (81.750)
Epoch: [76][11320/14090]	Time 0.749 (0.755)	Data 0.001 (0.001)	Loss 2.1099 (1.8173)	Prec@1 44.531 (52.303)	Prec@5 73.438 (81.750)
Epoch: [76][11330/14090]	Time 0.769 (0.755)	Data 0.001 (0.001)	Loss 1.6699 (1.8172)	Prec@1 56.250 (52.305)	Prec@5 85.156 (81.752)
Epoch: [76][11340/14090]	Time 0.727 (0.755)	Data 0.001 (0.001)	Loss 1.9765 (1.8173)	Prec@1 50.781 (52.304)	Prec@5 82.031 (81.752)
Epoch: [76][11350/14090]	Time 0.749 (0.755)	Data 0.001 (0.001)	Loss 1.7065 (1.8173)	Prec@1 56.250 (52.304)	Prec@5 82.031 (81.751)
Epoch: [76][11360/14090]	Time 0.735 (0.755)	Data 0.001 (0.001)	Loss 1.8219 (1.8173)	Prec@1 50.781 (52.305)	Prec@5 82.031 (81.751)
Epoch: [76][11370/14090]	Time 0.756 (0.755)	Data 0.001 (0.001)	Loss 2.0012 (1.8173)	Prec@1 45.312 (52.305)	Prec@5 78.906 (81.751)
Epoch: [76][11380/14090]	Time 0.724 (0.755)	Data 0.001 (0.001)	Loss 1.7366 (1.8173)	Prec@1 48.438 (52.305)	Prec@5 81.250 (81.751)
Epoch: [76][11390/14090]	Time 0.764 (0.755)	Data 0.001 (0.001)	Loss 1.6543 (1.8174)	Prec@1 56.250 (52.304)	Prec@5 86.719 (81.749)
Epoch: [76][11400/14090]	Time 0.755 (0.755)	Data 0.001 (0.001)	Loss 1.8486 (1.8174)	Prec@1 53.906 (52.305)	Prec@5 81.250 (81.749)
Epoch: [76][11410/14090]	Time 0.735 (0.755)	Data 0.001 (0.001)	Loss 1.8869 (1.8174)	Prec@1 49.219 (52.307)	Prec@5 78.125 (81.749)
Epoch: [76][11420/14090]	Time 0.730 (0.755)	Data 0.001 (0.001)	Loss 1.7145 (1.8174)	Prec@1 56.250 (52.307)	Prec@5 81.250 (81.749)
Epoch: [76][11430/14090]	Time 0.763 (0.755)	Data 0.001 (0.001)	Loss 1.7482 (1.8174)	Prec@1 56.250 (52.308)	Prec@5 84.375 (81.749)
Epoch: [76][11440/14090]	Time 0.753 (0.755)	Data 0.001 (0.001)	Loss 1.8797 (1.8174)	Prec@1 52.344 (52.308)	Prec@5 84.375 (81.748)
Epoch: [76][11450/14090]	Time 0.777 (0.755)	Data 0.001 (0.001)	Loss 1.8796 (1.8174)	Prec@1 53.125 (52.308)	Prec@5 75.000 (81.748)
Epoch: [76][11460/14090]	Time 0.735 (0.755)	Data 0.001 (0.001)	Loss 1.7578 (1.8174)	Prec@1 54.688 (52.308)	Prec@5 85.156 (81.749)
Epoch: [76][11470/14090]	Time 0.742 (0.755)	Data 0.001 (0.001)	Loss 1.9768 (1.8174)	Prec@1 56.250 (52.308)	Prec@5 76.562 (81.748)
Epoch: [76][11480/14090]	Time 0.757 (0.755)	Data 0.001 (0.001)	Loss 1.9482 (1.8174)	Prec@1 49.219 (52.310)	Prec@5 78.906 (81.748)
Epoch: [76][11490/14090]	Time 0.729 (0.755)	Data 0.001 (0.001)	Loss 1.6808 (1.8174)	Prec@1 58.594 (52.312)	Prec@5 83.594 (81.749)
Epoch: [76][11500/14090]	Time 0.735 (0.755)	Data 0.001 (0.001)	Loss 1.8508 (1.8174)	Prec@1 51.562 (52.312)	Prec@5 82.812 (81.747)
Epoch: [76][11510/14090]	Time 0.754 (0.755)	Data 0.001 (0.001)	Loss 1.8991 (1.8175)	Prec@1 53.125 (52.311)	Prec@5 78.125 (81.746)
Epoch: [76][11520/14090]	Time 0.733 (0.755)	Data 0.001 (0.001)	Loss 1.9903 (1.8175)	Prec@1 43.750 (52.310)	Prec@5 80.469 (81.747)
Epoch: [76][11530/14090]	Time 0.778 (0.755)	Data 0.001 (0.001)	Loss 2.1461 (1.8175)	Prec@1 45.312 (52.309)	Prec@5 75.000 (81.747)
Epoch: [76][11540/14090]	Time 0.772 (0.755)	Data 0.001 (0.001)	Loss 2.0570 (1.8176)	Prec@1 45.312 (52.306)	Prec@5 81.250 (81.747)
Epoch: [76][11550/14090]	Time 0.737 (0.755)	Data 0.001 (0.001)	Loss 1.7298 (1.8175)	Prec@1 60.938 (52.307)	Prec@5 81.250 (81.748)
Epoch: [76][11560/14090]	Time 0.779 (0.755)	Data 0.001 (0.001)	Loss 1.8005 (1.8175)	Prec@1 49.219 (52.307)	Prec@5 82.031 (81.749)
Epoch: [76][11570/14090]	Time 0.738 (0.755)	Data 0.001 (0.001)	Loss 1.8886 (1.8175)	Prec@1 47.656 (52.307)	Prec@5 80.469 (81.748)
Epoch: [76][11580/14090]	Time 0.728 (0.755)	Data 0.001 (0.001)	Loss 1.7921 (1.8176)	Prec@1 46.875 (52.306)	Prec@5 84.375 (81.747)
Epoch: [76][11590/14090]	Time 0.757 (0.755)	Data 0.001 (0.001)	Loss 1.8043 (1.8176)	Prec@1 56.250 (52.307)	Prec@5 84.375 (81.747)
Epoch: [76][11600/14090]	Time 0.754 (0.755)	Data 0.001 (0.001)	Loss 2.0151 (1.8176)	Prec@1 41.406 (52.305)	Prec@5 78.125 (81.746)
Epoch: [76][11610/14090]	Time 0.760 (0.755)	Data 0.001 (0.001)	Loss 1.8735 (1.8176)	Prec@1 51.562 (52.308)	Prec@5 78.906 (81.745)
Epoch: [76][11620/14090]	Time 0.737 (0.755)	Data 0.001 (0.001)	Loss 1.8098 (1.8176)	Prec@1 55.469 (52.308)	Prec@5 82.031 (81.745)
Epoch: [76][11630/14090]	Time 0.739 (0.755)	Data 0.001 (0.001)	Loss 1.8922 (1.8176)	Prec@1 47.656 (52.309)	Prec@5 82.812 (81.744)
Epoch: [76][11640/14090]	Time 0.774 (0.755)	Data 0.001 (0.001)	Loss 1.8170 (1.8176)	Prec@1 51.562 (52.310)	Prec@5 78.125 (81.744)
Epoch: [76][11650/14090]	Time 0.734 (0.755)	Data 0.001 (0.001)	Loss 1.6434 (1.8176)	Prec@1 58.594 (52.309)	Prec@5 80.469 (81.743)
Epoch: [76][11660/14090]	Time 0.751 (0.755)	Data 0.001 (0.001)	Loss 1.8433 (1.8176)	Prec@1 51.562 (52.310)	Prec@5 83.594 (81.743)
Epoch: [76][11670/14090]	Time 0.740 (0.755)	Data 0.001 (0.001)	Loss 1.8900 (1.8176)	Prec@1 50.000 (52.310)	Prec@5 83.594 (81.743)
Epoch: [76][11680/14090]	Time 0.740 (0.755)	Data 0.001 (0.001)	Loss 1.8700 (1.8175)	Prec@1 47.656 (52.312)	Prec@5 81.250 (81.744)
Epoch: [76][11690/14090]	Time 0.780 (0.755)	Data 0.001 (0.001)	Loss 1.6693 (1.8175)	Prec@1 62.500 (52.313)	Prec@5 84.375 (81.744)
Epoch: [76][11700/14090]	Time 0.735 (0.755)	Data 0.001 (0.001)	Loss 2.0504 (1.8175)	Prec@1 48.438 (52.313)	Prec@5 78.906 (81.745)
Epoch: [76][11710/14090]	Time 0.774 (0.755)	Data 0.001 (0.001)	Loss 1.5948 (1.8176)	Prec@1 58.594 (52.313)	Prec@5 84.375 (81.743)
Epoch: [76][11720/14090]	Time 0.752 (0.755)	Data 0.001 (0.001)	Loss 1.9291 (1.8176)	Prec@1 50.781 (52.311)	Prec@5 82.031 (81.742)
Epoch: [76][11730/14090]	Time 0.746 (0.755)	Data 0.001 (0.001)	Loss 1.7146 (1.8176)	Prec@1 55.469 (52.311)	Prec@5 82.031 (81.742)
Epoch: [76][11740/14090]	Time 0.767 (0.755)	Data 0.001 (0.001)	Loss 1.7682 (1.8177)	Prec@1 53.125 (52.309)	Prec@5 84.375 (81.741)
Epoch: [76][11750/14090]	Time 0.754 (0.755)	Data 0.001 (0.001)	Loss 1.7629 (1.8177)	Prec@1 54.688 (52.309)	Prec@5 82.031 (81.740)
Epoch: [76][11760/14090]	Time 0.742 (0.755)	Data 0.001 (0.001)	Loss 1.7446 (1.8177)	Prec@1 49.219 (52.309)	Prec@5 84.375 (81.740)
Epoch: [76][11770/14090]	Time 0.751 (0.755)	Data 0.001 (0.001)	Loss 1.9104 (1.8177)	Prec@1 50.781 (52.311)	Prec@5 84.375 (81.741)
Epoch: [76][11780/14090]	Time 0.724 (0.755)	Data 0.001 (0.001)	Loss 1.7829 (1.8177)	Prec@1 53.906 (52.309)	Prec@5 83.594 (81.741)
Epoch: [76][11790/14090]	Time 0.740 (0.755)	Data 0.001 (0.001)	Loss 1.7742 (1.8178)	Prec@1 54.688 (52.308)	Prec@5 82.812 (81.740)
Epoch: [76][11800/14090]	Time 0.767 (0.755)	Data 0.001 (0.001)	Loss 1.7919 (1.8177)	Prec@1 53.906 (52.310)	Prec@5 80.469 (81.740)
Epoch: [76][11810/14090]	Time 0.750 (0.755)	Data 0.001 (0.001)	Loss 1.9071 (1.8178)	Prec@1 53.906 (52.307)	Prec@5 80.469 (81.741)
Epoch: [76][11820/14090]	Time 0.735 (0.755)	Data 0.001 (0.001)	Loss 1.8048 (1.8178)	Prec@1 50.000 (52.306)	Prec@5 85.156 (81.740)
Epoch: [76][11830/14090]	Time 0.758 (0.755)	Data 0.001 (0.001)	Loss 1.9064 (1.8178)	Prec@1 48.438 (52.305)	Prec@5 80.469 (81.739)
Epoch: [76][11840/14090]	Time 0.751 (0.755)	Data 0.001 (0.001)	Loss 1.9277 (1.8179)	Prec@1 49.219 (52.303)	Prec@5 81.250 (81.740)
Epoch: [76][11850/14090]	Time 0.740 (0.755)	Data 0.001 (0.001)	Loss 1.7099 (1.8179)	Prec@1 56.250 (52.305)	Prec@5 84.375 (81.741)
Epoch: [76][11860/14090]	Time 0.738 (0.755)	Data 0.001 (0.001)	Loss 1.7498 (1.8179)	Prec@1 56.250 (52.306)	Prec@5 82.812 (81.741)
Epoch: [76][11870/14090]	Time 0.741 (0.755)	Data 0.001 (0.001)	Loss 1.4504 (1.8178)	Prec@1 61.719 (52.308)	Prec@5 84.375 (81.743)
Epoch: [76][11880/14090]	Time 0.778 (0.755)	Data 0.001 (0.001)	Loss 1.8589 (1.8177)	Prec@1 53.125 (52.310)	Prec@5 78.906 (81.744)
Epoch: [76][11890/14090]	Time 0.759 (0.755)	Data 0.001 (0.001)	Loss 1.8444 (1.8177)	Prec@1 49.219 (52.311)	Prec@5 76.562 (81.744)
Epoch: [76][11900/14090]	Time 0.739 (0.754)	Data 0.001 (0.001)	Loss 1.6345 (1.8178)	Prec@1 60.156 (52.308)	Prec@5 83.594 (81.745)
Epoch: [76][11910/14090]	Time 0.747 (0.754)	Data 0.001 (0.001)	Loss 1.6117 (1.8178)	Prec@1 51.562 (52.308)	Prec@5 84.375 (81.745)
Epoch: [76][11920/14090]	Time 0.737 (0.754)	Data 0.001 (0.001)	Loss 1.7028 (1.8178)	Prec@1 61.719 (52.308)	Prec@5 82.812 (81.743)
Epoch: [76][11930/14090]	Time 0.740 (0.754)	Data 0.001 (0.001)	Loss 1.8085 (1.8179)	Prec@1 54.688 (52.308)	Prec@5 83.594 (81.742)
Epoch: [76][11940/14090]	Time 0.752 (0.754)	Data 0.001 (0.001)	Loss 1.8189 (1.8178)	Prec@1 50.781 (52.308)	Prec@5 82.031 (81.743)
Epoch: [76][11950/14090]	Time 0.722 (0.754)	Data 0.001 (0.001)	Loss 1.8024 (1.8178)	Prec@1 53.906 (52.309)	Prec@5 82.812 (81.742)
Epoch: [76][11960/14090]	Time 0.778 (0.754)	Data 0.001 (0.001)	Loss 1.8365 (1.8178)	Prec@1 55.469 (52.311)	Prec@5 80.469 (81.742)
Epoch: [76][11970/14090]	Time 0.760 (0.754)	Data 0.001 (0.001)	Loss 1.8797 (1.8178)	Prec@1 49.219 (52.311)	Prec@5 79.688 (81.743)
Epoch: [76][11980/14090]	Time 0.744 (0.754)	Data 0.001 (0.001)	Loss 2.0251 (1.8179)	Prec@1 42.969 (52.310)	Prec@5 79.688 (81.742)
Epoch: [76][11990/14090]	Time 0.755 (0.754)	Data 0.001 (0.001)	Loss 1.7805 (1.8178)	Prec@1 54.688 (52.311)	Prec@5 85.156 (81.743)
Epoch: [76][12000/14090]	Time 0.788 (0.754)	Data 0.001 (0.001)	Loss 1.9094 (1.8178)	Prec@1 45.312 (52.312)	Prec@5 78.125 (81.744)
Epoch: [76][12010/14090]	Time 0.737 (0.754)	Data 0.001 (0.001)	Loss 1.8930 (1.8178)	Prec@1 53.125 (52.311)	Prec@5 82.031 (81.744)
Epoch: [76][12020/14090]	Time 0.729 (0.754)	Data 0.001 (0.001)	Loss 2.2372 (1.8179)	Prec@1 39.062 (52.308)	Prec@5 75.781 (81.744)
Epoch: [76][12030/14090]	Time 0.756 (0.754)	Data 0.001 (0.001)	Loss 2.1523 (1.8178)	Prec@1 47.656 (52.308)	Prec@5 75.000 (81.744)
Epoch: [76][12040/14090]	Time 0.778 (0.754)	Data 0.001 (0.001)	Loss 1.9253 (1.8180)	Prec@1 45.312 (52.305)	Prec@5 81.250 (81.742)
Epoch: [76][12050/14090]	Time 0.751 (0.754)	Data 0.001 (0.001)	Loss 1.7909 (1.8180)	Prec@1 49.219 (52.304)	Prec@5 81.250 (81.740)
Epoch: [76][12060/14090]	Time 0.746 (0.754)	Data 0.001 (0.001)	Loss 1.8431 (1.8181)	Prec@1 56.250 (52.303)	Prec@5 81.250 (81.739)
Epoch: [76][12070/14090]	Time 0.775 (0.754)	Data 0.001 (0.001)	Loss 1.9282 (1.8180)	Prec@1 48.438 (52.303)	Prec@5 82.031 (81.740)
Epoch: [76][12080/14090]	Time 0.760 (0.754)	Data 0.001 (0.001)	Loss 1.3111 (1.8179)	Prec@1 63.281 (52.306)	Prec@5 86.719 (81.741)
Epoch: [76][12090/14090]	Time 0.741 (0.754)	Data 0.001 (0.001)	Loss 1.8839 (1.8180)	Prec@1 51.562 (52.305)	Prec@5 79.688 (81.740)
Epoch: [76][12100/14090]	Time 0.775 (0.754)	Data 0.001 (0.001)	Loss 1.7567 (1.8180)	Prec@1 50.781 (52.303)	Prec@5 80.469 (81.740)
Epoch: [76][12110/14090]	Time 0.738 (0.754)	Data 0.001 (0.001)	Loss 1.6014 (1.8180)	Prec@1 56.250 (52.303)	Prec@5 85.156 (81.739)
Epoch: [76][12120/14090]	Time 0.743 (0.754)	Data 0.001 (0.001)	Loss 1.7593 (1.8180)	Prec@1 52.344 (52.303)	Prec@5 78.125 (81.739)
Epoch: [76][12130/14090]	Time 0.768 (0.754)	Data 0.001 (0.001)	Loss 1.8232 (1.8180)	Prec@1 46.875 (52.303)	Prec@5 82.031 (81.739)
Epoch: [76][12140/14090]	Time 0.769 (0.754)	Data 0.001 (0.001)	Loss 1.6954 (1.8180)	Prec@1 58.594 (52.304)	Prec@5 85.938 (81.739)
Epoch: [76][12150/14090]	Time 0.743 (0.754)	Data 0.001 (0.001)	Loss 1.5928 (1.8180)	Prec@1 55.469 (52.303)	Prec@5 83.594 (81.738)
Epoch: [76][12160/14090]	Time 0.766 (0.754)	Data 0.001 (0.001)	Loss 1.8689 (1.8180)	Prec@1 47.656 (52.303)	Prec@5 81.250 (81.739)
Epoch: [76][12170/14090]	Time 0.755 (0.754)	Data 0.001 (0.001)	Loss 1.8496 (1.8180)	Prec@1 53.125 (52.304)	Prec@5 78.906 (81.738)
Epoch: [76][12180/14090]	Time 0.778 (0.754)	Data 0.001 (0.001)	Loss 1.7273 (1.8181)	Prec@1 57.031 (52.303)	Prec@5 83.594 (81.737)
Epoch: [76][12190/14090]	Time 0.777 (0.754)	Data 0.001 (0.001)	Loss 1.7745 (1.8181)	Prec@1 53.906 (52.302)	Prec@5 80.469 (81.737)
Epoch: [76][12200/14090]	Time 0.747 (0.754)	Data 0.001 (0.001)	Loss 1.7855 (1.8180)	Prec@1 53.125 (52.303)	Prec@5 81.250 (81.738)
Epoch: [76][12210/14090]	Time 0.749 (0.754)	Data 0.001 (0.001)	Loss 1.9893 (1.8180)	Prec@1 50.781 (52.304)	Prec@5 79.688 (81.738)
Epoch: [76][12220/14090]	Time 0.760 (0.754)	Data 0.001 (0.001)	Loss 1.6546 (1.8179)	Prec@1 58.594 (52.306)	Prec@5 85.938 (81.740)
Epoch: [76][12230/14090]	Time 0.734 (0.754)	Data 0.001 (0.001)	Loss 1.9519 (1.8180)	Prec@1 51.562 (52.305)	Prec@5 81.250 (81.739)
Epoch: [76][12240/14090]	Time 0.756 (0.754)	Data 0.001 (0.001)	Loss 1.8528 (1.8180)	Prec@1 48.438 (52.305)	Prec@5 77.344 (81.738)
Epoch: [76][12250/14090]	Time 0.762 (0.754)	Data 0.001 (0.001)	Loss 2.0242 (1.8180)	Prec@1 47.656 (52.304)	Prec@5 76.562 (81.737)
Epoch: [76][12260/14090]	Time 0.762 (0.754)	Data 0.001 (0.001)	Loss 1.8317 (1.8180)	Prec@1 50.781 (52.304)	Prec@5 81.250 (81.738)
Epoch: [76][12270/14090]	Time 0.735 (0.754)	Data 0.001 (0.001)	Loss 1.7791 (1.8180)	Prec@1 50.781 (52.303)	Prec@5 82.812 (81.738)
Epoch: [76][12280/14090]	Time 0.737 (0.754)	Data 0.001 (0.001)	Loss 1.7759 (1.8180)	Prec@1 54.688 (52.304)	Prec@5 83.594 (81.737)
Epoch: [76][12290/14090]	Time 0.733 (0.754)	Data 0.001 (0.001)	Loss 1.9862 (1.8181)	Prec@1 49.219 (52.304)	Prec@5 75.000 (81.737)
Epoch: [76][12300/14090]	Time 0.735 (0.754)	Data 0.001 (0.001)	Loss 1.8122 (1.8180)	Prec@1 52.344 (52.304)	Prec@5 82.031 (81.737)
Epoch: [76][12310/14090]	Time 0.783 (0.754)	Data 0.001 (0.001)	Loss 2.1595 (1.8181)	Prec@1 49.219 (52.303)	Prec@5 77.344 (81.737)
Epoch: [76][12320/14090]	Time 0.738 (0.754)	Data 0.001 (0.001)	Loss 1.5059 (1.8181)	Prec@1 52.344 (52.303)	Prec@5 88.281 (81.737)
Epoch: [76][12330/14090]	Time 0.767 (0.754)	Data 0.001 (0.001)	Loss 1.9714 (1.8180)	Prec@1 43.750 (52.303)	Prec@5 77.344 (81.737)
Epoch: [76][12340/14090]	Time 0.747 (0.754)	Data 0.001 (0.001)	Loss 1.7650 (1.8180)	Prec@1 52.344 (52.303)	Prec@5 85.156 (81.738)
Epoch: [76][12350/14090]	Time 0.744 (0.754)	Data 0.001 (0.001)	Loss 1.7132 (1.8180)	Prec@1 53.906 (52.303)	Prec@5 77.344 (81.739)
Epoch: [76][12360/14090]	Time 0.763 (0.754)	Data 0.001 (0.001)	Loss 1.7045 (1.8180)	Prec@1 57.031 (52.302)	Prec@5 85.156 (81.738)
Epoch: [76][12370/14090]	Time 0.746 (0.754)	Data 0.001 (0.001)	Loss 1.8180 (1.8180)	Prec@1 49.219 (52.303)	Prec@5 85.156 (81.739)
Epoch: [76][12380/14090]	Time 0.751 (0.754)	Data 0.001 (0.001)	Loss 1.7879 (1.8180)	Prec@1 57.031 (52.306)	Prec@5 82.812 (81.740)
Epoch: [76][12390/14090]	Time 0.734 (0.754)	Data 0.001 (0.001)	Loss 1.7526 (1.8179)	Prec@1 50.781 (52.305)	Prec@5 82.812 (81.742)
Epoch: [76][12400/14090]	Time 0.789 (0.754)	Data 0.001 (0.001)	Loss 1.8977 (1.8180)	Prec@1 46.094 (52.304)	Prec@5 83.594 (81.741)
Epoch: [76][12410/14090]	Time 0.741 (0.754)	Data 0.001 (0.001)	Loss 1.6803 (1.8179)	Prec@1 60.938 (52.305)	Prec@5 84.375 (81.740)
Epoch: [76][12420/14090]	Time 0.783 (0.754)	Data 0.001 (0.001)	Loss 1.8102 (1.8179)	Prec@1 52.344 (52.306)	Prec@5 78.125 (81.741)
Epoch: [76][12430/14090]	Time 0.736 (0.754)	Data 0.001 (0.001)	Loss 1.4877 (1.8179)	Prec@1 57.031 (52.305)	Prec@5 86.719 (81.740)
Epoch: [76][12440/14090]	Time 0.777 (0.754)	Data 0.001 (0.001)	Loss 1.7133 (1.8179)	Prec@1 56.250 (52.306)	Prec@5 85.938 (81.742)
Epoch: [76][12450/14090]	Time 0.731 (0.754)	Data 0.001 (0.001)	Loss 1.9121 (1.8179)	Prec@1 50.000 (52.307)	Prec@5 82.031 (81.743)
Epoch: [76][12460/14090]	Time 0.756 (0.754)	Data 0.001 (0.001)	Loss 1.8873 (1.8179)	Prec@1 50.000 (52.306)	Prec@5 75.781 (81.742)
Epoch: [76][12470/14090]	Time 0.752 (0.754)	Data 0.001 (0.001)	Loss 1.8317 (1.8179)	Prec@1 51.562 (52.305)	Prec@5 83.594 (81.742)
Epoch: [76][12480/14090]	Time 0.728 (0.754)	Data 0.001 (0.001)	Loss 1.9055 (1.8179)	Prec@1 46.875 (52.305)	Prec@5 82.031 (81.743)
Epoch: [76][12490/14090]	Time 0.758 (0.754)	Data 0.001 (0.001)	Loss 1.6307 (1.8179)	Prec@1 54.688 (52.303)	Prec@5 84.375 (81.743)
Epoch: [76][12500/14090]	Time 0.749 (0.754)	Data 0.001 (0.001)	Loss 2.1458 (1.8180)	Prec@1 46.094 (52.302)	Prec@5 74.219 (81.741)
Epoch: [76][12510/14090]	Time 0.758 (0.754)	Data 0.001 (0.001)	Loss 1.8933 (1.8180)	Prec@1 46.875 (52.303)	Prec@5 78.906 (81.741)
Epoch: [76][12520/14090]	Time 0.734 (0.754)	Data 0.001 (0.001)	Loss 1.7636 (1.8180)	Prec@1 50.000 (52.302)	Prec@5 86.719 (81.741)
Epoch: [76][12530/14090]	Time 0.738 (0.754)	Data 0.001 (0.001)	Loss 1.6718 (1.8181)	Prec@1 58.594 (52.300)	Prec@5 82.812 (81.738)
Epoch: [76][12540/14090]	Time 0.756 (0.754)	Data 0.001 (0.001)	Loss 1.9300 (1.8181)	Prec@1 45.312 (52.300)	Prec@5 79.688 (81.738)
Epoch: [76][12550/14090]	Time 0.766 (0.754)	Data 0.001 (0.001)	Loss 1.8218 (1.8181)	Prec@1 53.906 (52.300)	Prec@5 82.031 (81.739)
Epoch: [76][12560/14090]	Time 0.745 (0.754)	Data 0.001 (0.001)	Loss 1.9512 (1.8182)	Prec@1 51.562 (52.298)	Prec@5 81.250 (81.739)
Epoch: [76][12570/14090]	Time 0.790 (0.754)	Data 0.001 (0.001)	Loss 1.5555 (1.8182)	Prec@1 57.031 (52.300)	Prec@5 85.938 (81.739)
Epoch: [76][12580/14090]	Time 0.742 (0.754)	Data 0.001 (0.001)	Loss 1.9492 (1.8181)	Prec@1 50.000 (52.299)	Prec@5 82.812 (81.740)
Epoch: [76][12590/14090]	Time 0.776 (0.754)	Data 0.001 (0.001)	Loss 1.7908 (1.8182)	Prec@1 53.906 (52.299)	Prec@5 81.250 (81.739)
Epoch: [76][12600/14090]	Time 0.735 (0.754)	Data 0.001 (0.001)	Loss 2.0097 (1.8182)	Prec@1 46.094 (52.298)	Prec@5 78.125 (81.739)
Epoch: [76][12610/14090]	Time 0.764 (0.754)	Data 0.001 (0.001)	Loss 1.5995 (1.8182)	Prec@1 56.250 (52.298)	Prec@5 82.031 (81.740)
Epoch: [76][12620/14090]	Time 0.761 (0.754)	Data 0.001 (0.001)	Loss 1.9338 (1.8182)	Prec@1 50.000 (52.298)	Prec@5 82.031 (81.740)
Epoch: [76][12630/14090]	Time 0.736 (0.754)	Data 0.001 (0.001)	Loss 1.7799 (1.8182)	Prec@1 49.219 (52.297)	Prec@5 82.031 (81.740)
Epoch: [76][12640/14090]	Time 0.746 (0.754)	Data 0.001 (0.001)	Loss 2.0101 (1.8182)	Prec@1 47.656 (52.295)	Prec@5 79.688 (81.740)
Epoch: [76][12650/14090]	Time 0.765 (0.754)	Data 0.001 (0.001)	Loss 1.7784 (1.8182)	Prec@1 53.125 (52.296)	Prec@5 78.125 (81.740)
Epoch: [76][12660/14090]	Time 0.767 (0.754)	Data 0.001 (0.001)	Loss 1.6819 (1.8182)	Prec@1 54.688 (52.297)	Prec@5 82.031 (81.739)
Epoch: [76][12670/14090]	Time 0.735 (0.754)	Data 0.001 (0.001)	Loss 1.9760 (1.8182)	Prec@1 49.219 (52.297)	Prec@5 78.906 (81.740)
Epoch: [76][12680/14090]	Time 0.784 (0.754)	Data 0.001 (0.001)	Loss 1.6586 (1.8182)	Prec@1 56.250 (52.297)	Prec@5 84.375 (81.741)
Epoch: [76][12690/14090]	Time 0.768 (0.754)	Data 0.001 (0.001)	Loss 1.8517 (1.8182)	Prec@1 55.469 (52.297)	Prec@5 82.031 (81.742)
Epoch: [76][12700/14090]	Time 0.733 (0.754)	Data 0.001 (0.001)	Loss 1.8554 (1.8183)	Prec@1 54.688 (52.295)	Prec@5 81.250 (81.741)
Epoch: [76][12710/14090]	Time 0.739 (0.754)	Data 0.001 (0.001)	Loss 1.6494 (1.8182)	Prec@1 53.906 (52.295)	Prec@5 85.156 (81.743)
Epoch: [76][12720/14090]	Time 0.741 (0.754)	Data 0.001 (0.001)	Loss 1.8401 (1.8182)	Prec@1 48.438 (52.295)	Prec@5 82.812 (81.743)
Epoch: [76][12730/14090]	Time 0.738 (0.754)	Data 0.001 (0.001)	Loss 1.9374 (1.8183)	Prec@1 49.219 (52.294)	Prec@5 83.594 (81.741)
Epoch: [76][12740/14090]	Time 0.778 (0.754)	Data 0.001 (0.001)	Loss 1.7597 (1.8183)	Prec@1 48.438 (52.293)	Prec@5 89.844 (81.741)
Epoch: [76][12750/14090]	Time 0.761 (0.754)	Data 0.001 (0.001)	Loss 1.5830 (1.8183)	Prec@1 58.594 (52.294)	Prec@5 83.594 (81.742)
Epoch: [76][12760/14090]	Time 0.764 (0.754)	Data 0.001 (0.001)	Loss 1.7935 (1.8183)	Prec@1 51.562 (52.294)	Prec@5 80.469 (81.742)
Epoch: [76][12770/14090]	Time 0.771 (0.754)	Data 0.001 (0.001)	Loss 1.9211 (1.8184)	Prec@1 49.219 (52.293)	Prec@5 84.375 (81.740)
Epoch: [76][12780/14090]	Time 0.748 (0.754)	Data 0.001 (0.001)	Loss 1.7523 (1.8184)	Prec@1 55.469 (52.294)	Prec@5 83.594 (81.741)
Epoch: [76][12790/14090]	Time 0.736 (0.754)	Data 0.001 (0.001)	Loss 1.8160 (1.8184)	Prec@1 55.469 (52.293)	Prec@5 85.156 (81.741)
Epoch: [76][12800/14090]	Time 0.774 (0.754)	Data 0.001 (0.001)	Loss 1.8166 (1.8184)	Prec@1 55.469 (52.294)	Prec@5 81.250 (81.740)
Epoch: [76][12810/14090]	Time 0.747 (0.754)	Data 0.001 (0.001)	Loss 1.6797 (1.8183)	Prec@1 53.906 (52.295)	Prec@5 82.031 (81.741)
Epoch: [76][12820/14090]	Time 0.740 (0.754)	Data 0.001 (0.001)	Loss 1.6614 (1.8183)	Prec@1 53.125 (52.296)	Prec@5 87.500 (81.741)
Epoch: [76][12830/14090]	Time 0.753 (0.754)	Data 0.001 (0.001)	Loss 1.5049 (1.8183)	Prec@1 56.250 (52.296)	Prec@5 89.062 (81.742)
Epoch: [76][12840/14090]	Time 0.741 (0.754)	Data 0.001 (0.001)	Loss 1.9450 (1.8184)	Prec@1 50.000 (52.295)	Prec@5 75.781 (81.741)
Epoch: [76][12850/14090]	Time 0.758 (0.754)	Data 0.001 (0.001)	Loss 1.8469 (1.8184)	Prec@1 50.781 (52.295)	Prec@5 84.375 (81.740)
Epoch: [76][12860/14090]	Time 0.757 (0.754)	Data 0.001 (0.001)	Loss 1.8472 (1.8185)	Prec@1 49.219 (52.294)	Prec@5 79.688 (81.739)
Epoch: [76][12870/14090]	Time 0.778 (0.754)	Data 0.001 (0.001)	Loss 1.9489 (1.8185)	Prec@1 50.781 (52.293)	Prec@5 78.125 (81.740)
Epoch: [76][12880/14090]	Time 0.780 (0.754)	Data 0.001 (0.001)	Loss 1.9829 (1.8185)	Prec@1 49.219 (52.293)	Prec@5 78.125 (81.739)
Epoch: [76][12890/14090]	Time 0.754 (0.754)	Data 0.001 (0.001)	Loss 1.6606 (1.8185)	Prec@1 59.375 (52.292)	Prec@5 84.375 (81.739)
Epoch: [76][12900/14090]	Time 0.732 (0.754)	Data 0.001 (0.001)	Loss 1.9173 (1.8185)	Prec@1 53.906 (52.294)	Prec@5 79.688 (81.739)
Epoch: [76][12910/14090]	Time 0.757 (0.754)	Data 0.001 (0.001)	Loss 1.5760 (1.8185)	Prec@1 60.156 (52.294)	Prec@5 85.156 (81.739)
Epoch: [76][12920/14090]	Time 0.733 (0.754)	Data 0.001 (0.001)	Loss 1.8620 (1.8185)	Prec@1 53.125 (52.293)	Prec@5 81.250 (81.739)
Epoch: [76][12930/14090]	Time 0.739 (0.754)	Data 0.001 (0.001)	Loss 1.7507 (1.8185)	Prec@1 53.906 (52.292)	Prec@5 79.688 (81.739)
Epoch: [76][12940/14090]	Time 0.754 (0.754)	Data 0.001 (0.001)	Loss 1.8596 (1.8186)	Prec@1 51.562 (52.293)	Prec@5 83.594 (81.739)
Epoch: [76][12950/14090]	Time 0.729 (0.754)	Data 0.001 (0.001)	Loss 2.0163 (1.8186)	Prec@1 50.781 (52.291)	Prec@5 80.469 (81.739)
Epoch: [76][12960/14090]	Time 0.749 (0.754)	Data 0.001 (0.001)	Loss 1.7427 (1.8187)	Prec@1 50.000 (52.288)	Prec@5 83.594 (81.738)
Epoch: [76][12970/14090]	Time 0.742 (0.754)	Data 0.001 (0.001)	Loss 1.6334 (1.8187)	Prec@1 54.688 (52.288)	Prec@5 85.156 (81.738)
Epoch: [76][12980/14090]	Time 0.779 (0.754)	Data 0.001 (0.001)	Loss 1.7904 (1.8187)	Prec@1 53.125 (52.288)	Prec@5 85.156 (81.737)
Epoch: [76][12990/14090]	Time 0.759 (0.754)	Data 0.001 (0.001)	Loss 1.4647 (1.8186)	Prec@1 57.031 (52.290)	Prec@5 86.719 (81.737)
Epoch: [76][13000/14090]	Time 0.757 (0.754)	Data 0.001 (0.001)	Loss 1.9170 (1.8187)	Prec@1 50.000 (52.289)	Prec@5 81.250 (81.737)
Epoch: [76][13010/14090]	Time 0.774 (0.754)	Data 0.001 (0.001)	Loss 1.6168 (1.8186)	Prec@1 57.812 (52.290)	Prec@5 87.500 (81.738)
Epoch: [76][13020/14090]	Time 0.729 (0.754)	Data 0.001 (0.001)	Loss 1.7341 (1.8186)	Prec@1 57.812 (52.289)	Prec@5 80.469 (81.738)
Epoch: [76][13030/14090]	Time 0.733 (0.754)	Data 0.001 (0.001)	Loss 1.8738 (1.8186)	Prec@1 46.094 (52.288)	Prec@5 83.594 (81.738)
Epoch: [76][13040/14090]	Time 0.739 (0.754)	Data 0.001 (0.001)	Loss 1.9670 (1.8187)	Prec@1 53.125 (52.287)	Prec@5 82.031 (81.737)
Epoch: [76][13050/14090]	Time 0.734 (0.754)	Data 0.001 (0.001)	Loss 1.8059 (1.8186)	Prec@1 53.125 (52.288)	Prec@5 83.594 (81.737)
Epoch: [76][13060/14090]	Time 0.841 (0.754)	Data 0.001 (0.001)	Loss 1.7957 (1.8186)	Prec@1 53.125 (52.291)	Prec@5 80.469 (81.739)
Epoch: [76][13070/14090]	Time 0.739 (0.754)	Data 0.001 (0.001)	Loss 2.0691 (1.8186)	Prec@1 46.875 (52.291)	Prec@5 80.469 (81.738)
Epoch: [76][13080/14090]	Time 0.736 (0.754)	Data 0.001 (0.001)	Loss 1.7587 (1.8186)	Prec@1 57.031 (52.290)	Prec@5 82.031 (81.738)
Epoch: [76][13090/14090]	Time 0.731 (0.754)	Data 0.001 (0.001)	Loss 1.8098 (1.8186)	Prec@1 57.812 (52.291)	Prec@5 78.906 (81.739)
Epoch: [76][13100/14090]	Time 0.754 (0.754)	Data 0.001 (0.001)	Loss 1.7051 (1.8187)	Prec@1 53.125 (52.290)	Prec@5 81.250 (81.739)
Epoch: [76][13110/14090]	Time 0.729 (0.754)	Data 0.001 (0.001)	Loss 1.9893 (1.8187)	Prec@1 50.000 (52.289)	Prec@5 78.906 (81.739)
Epoch: [76][13120/14090]	Time 0.734 (0.754)	Data 0.001 (0.001)	Loss 2.0538 (1.8188)	Prec@1 40.625 (52.288)	Prec@5 75.781 (81.737)
Epoch: [76][13130/14090]	Time 0.722 (0.754)	Data 0.001 (0.001)	Loss 2.1390 (1.8188)	Prec@1 47.656 (52.287)	Prec@5 82.031 (81.737)
Epoch: [76][13140/14090]	Time 0.748 (0.754)	Data 0.002 (0.001)	Loss 1.9368 (1.8188)	Prec@1 47.656 (52.286)	Prec@5 80.469 (81.738)
Epoch: [76][13150/14090]	Time 0.765 (0.754)	Data 0.001 (0.001)	Loss 1.7990 (1.8188)	Prec@1 50.781 (52.286)	Prec@5 85.156 (81.737)
Epoch: [76][13160/14090]	Time 0.730 (0.754)	Data 0.001 (0.001)	Loss 1.7261 (1.8188)	Prec@1 59.375 (52.287)	Prec@5 82.031 (81.737)
Epoch: [76][13170/14090]	Time 0.768 (0.754)	Data 0.001 (0.001)	Loss 1.9540 (1.8189)	Prec@1 51.562 (52.287)	Prec@5 78.125 (81.736)
Epoch: [76][13180/14090]	Time 0.767 (0.754)	Data 0.001 (0.001)	Loss 1.9585 (1.8189)	Prec@1 49.219 (52.287)	Prec@5 76.562 (81.736)
Epoch: [76][13190/14090]	Time 0.735 (0.754)	Data 0.001 (0.001)	Loss 2.0820 (1.8188)	Prec@1 46.875 (52.288)	Prec@5 75.781 (81.736)
Epoch: [76][13200/14090]	Time 0.799 (0.754)	Data 0.001 (0.001)	Loss 1.9559 (1.8189)	Prec@1 42.969 (52.287)	Prec@5 79.688 (81.735)
Epoch: [76][13210/14090]	Time 0.774 (0.754)	Data 0.001 (0.001)	Loss 1.9842 (1.8188)	Prec@1 50.781 (52.287)	Prec@5 79.688 (81.735)
Epoch: [76][13220/14090]	Time 0.749 (0.754)	Data 0.001 (0.001)	Loss 1.8500 (1.8188)	Prec@1 48.438 (52.288)	Prec@5 79.688 (81.735)
Epoch: [76][13230/14090]	Time 0.752 (0.754)	Data 0.001 (0.001)	Loss 2.0993 (1.8189)	Prec@1 48.438 (52.287)	Prec@5 78.906 (81.735)
Epoch: [76][13240/14090]	Time 0.728 (0.754)	Data 0.001 (0.001)	Loss 1.6614 (1.8189)	Prec@1 54.688 (52.287)	Prec@5 83.594 (81.735)
Epoch: [76][13250/14090]	Time 0.752 (0.754)	Data 0.001 (0.001)	Loss 2.1091 (1.8189)	Prec@1 46.094 (52.287)	Prec@5 78.906 (81.734)
Epoch: [76][13260/14090]	Time 0.734 (0.754)	Data 0.001 (0.001)	Loss 1.9716 (1.8189)	Prec@1 50.000 (52.286)	Prec@5 76.562 (81.734)
Epoch: [76][13270/14090]	Time 0.748 (0.754)	Data 0.001 (0.001)	Loss 1.8035 (1.8189)	Prec@1 51.562 (52.286)	Prec@5 85.156 (81.734)
Epoch: [76][13280/14090]	Time 0.724 (0.754)	Data 0.001 (0.001)	Loss 1.7801 (1.8189)	Prec@1 55.469 (52.285)	Prec@5 82.812 (81.734)
Epoch: [76][13290/14090]	Time 0.779 (0.754)	Data 0.001 (0.001)	Loss 1.8240 (1.8189)	Prec@1 57.031 (52.286)	Prec@5 81.250 (81.734)
Epoch: [76][13300/14090]	Time 0.781 (0.754)	Data 0.001 (0.001)	Loss 1.7658 (1.8189)	Prec@1 55.469 (52.286)	Prec@5 79.688 (81.733)
Epoch: [76][13310/14090]	Time 0.738 (0.754)	Data 0.001 (0.001)	Loss 1.6743 (1.8189)	Prec@1 60.938 (52.288)	Prec@5 84.375 (81.734)
Epoch: [76][13320/14090]	Time 0.764 (0.754)	Data 0.001 (0.001)	Loss 1.9285 (1.8189)	Prec@1 53.906 (52.288)	Prec@5 78.906 (81.734)
Epoch: [76][13330/14090]	Time 0.736 (0.754)	Data 0.001 (0.001)	Loss 1.6379 (1.8188)	Prec@1 54.688 (52.291)	Prec@5 82.812 (81.735)
Epoch: [76][13340/14090]	Time 0.780 (0.754)	Data 0.001 (0.001)	Loss 1.7531 (1.8189)	Prec@1 57.812 (52.289)	Prec@5 84.375 (81.734)
Epoch: [76][13350/14090]	Time 0.755 (0.754)	Data 0.001 (0.001)	Loss 1.9077 (1.8188)	Prec@1 45.312 (52.290)	Prec@5 81.250 (81.734)
Epoch: [76][13360/14090]	Time 0.734 (0.754)	Data 0.001 (0.001)	Loss 1.7950 (1.8188)	Prec@1 52.344 (52.289)	Prec@5 83.594 (81.735)
Epoch: [76][13370/14090]	Time 0.749 (0.754)	Data 0.001 (0.001)	Loss 1.7002 (1.8188)	Prec@1 52.344 (52.290)	Prec@5 85.156 (81.735)
Epoch: [76][13380/14090]	Time 0.743 (0.754)	Data 0.001 (0.001)	Loss 2.1203 (1.8188)	Prec@1 44.531 (52.289)	Prec@5 78.125 (81.736)
Epoch: [76][13390/14090]	Time 0.761 (0.754)	Data 0.001 (0.001)	Loss 1.7609 (1.8188)	Prec@1 60.938 (52.288)	Prec@5 78.906 (81.734)
Epoch: [76][13400/14090]	Time 0.779 (0.754)	Data 0.001 (0.001)	Loss 1.7508 (1.8188)	Prec@1 52.344 (52.288)	Prec@5 82.031 (81.735)
Epoch: [76][13410/14090]	Time 0.754 (0.754)	Data 0.001 (0.001)	Loss 1.6079 (1.8188)	Prec@1 61.719 (52.288)	Prec@5 83.594 (81.735)
Epoch: [76][13420/14090]	Time 0.748 (0.754)	Data 0.001 (0.001)	Loss 2.0281 (1.8189)	Prec@1 48.438 (52.286)	Prec@5 75.000 (81.733)
Epoch: [76][13430/14090]	Time 0.743 (0.754)	Data 0.001 (0.001)	Loss 2.0004 (1.8189)	Prec@1 45.312 (52.286)	Prec@5 81.250 (81.732)
Epoch: [76][13440/14090]	Time 0.752 (0.754)	Data 0.001 (0.001)	Loss 1.4515 (1.8189)	Prec@1 66.406 (52.286)	Prec@5 85.156 (81.732)
Epoch: [76][13450/14090]	Time 0.772 (0.754)	Data 0.001 (0.001)	Loss 1.7893 (1.8190)	Prec@1 59.375 (52.286)	Prec@5 82.031 (81.731)
Epoch: [76][13460/14090]	Time 0.731 (0.754)	Data 0.001 (0.001)	Loss 1.6718 (1.8189)	Prec@1 57.031 (52.287)	Prec@5 84.375 (81.732)
Epoch: [76][13470/14090]	Time 0.786 (0.754)	Data 0.001 (0.001)	Loss 1.8728 (1.8189)	Prec@1 46.875 (52.287)	Prec@5 85.938 (81.732)
Epoch: [76][13480/14090]	Time 0.789 (0.754)	Data 0.001 (0.001)	Loss 1.8490 (1.8189)	Prec@1 48.438 (52.286)	Prec@5 85.156 (81.733)
Epoch: [76][13490/14090]	Time 0.733 (0.754)	Data 0.001 (0.001)	Loss 1.7720 (1.8189)	Prec@1 56.250 (52.285)	Prec@5 83.594 (81.733)
Epoch: [76][13500/14090]	Time 0.762 (0.754)	Data 0.001 (0.001)	Loss 1.8292 (1.8189)	Prec@1 50.000 (52.286)	Prec@5 84.375 (81.734)
Epoch: [76][13510/14090]	Time 0.773 (0.754)	Data 0.001 (0.001)	Loss 1.7608 (1.8189)	Prec@1 53.125 (52.287)	Prec@5 83.594 (81.734)
Epoch: [76][13520/14090]	Time 0.758 (0.754)	Data 0.001 (0.001)	Loss 1.9739 (1.8189)	Prec@1 42.188 (52.286)	Prec@5 78.125 (81.734)
Epoch: [76][13530/14090]	Time 0.748 (0.754)	Data 0.001 (0.001)	Loss 2.0613 (1.8190)	Prec@1 46.875 (52.285)	Prec@5 79.688 (81.733)
Epoch: [76][13540/14090]	Time 0.754 (0.754)	Data 0.001 (0.001)	Loss 1.8801 (1.8190)	Prec@1 50.781 (52.285)	Prec@5 79.688 (81.733)
Epoch: [76][13550/14090]	Time 0.754 (0.754)	Data 0.001 (0.001)	Loss 1.5475 (1.8189)	Prec@1 61.719 (52.286)	Prec@5 89.844 (81.734)
Epoch: [76][13560/14090]	Time 0.742 (0.754)	Data 0.001 (0.001)	Loss 1.8893 (1.8189)	Prec@1 54.688 (52.287)	Prec@5 78.906 (81.733)
Epoch: [76][13570/14090]	Time 0.770 (0.754)	Data 0.001 (0.001)	Loss 1.8902 (1.8189)	Prec@1 52.344 (52.287)	Prec@5 82.031 (81.734)
Epoch: [76][13580/14090]	Time 0.769 (0.754)	Data 0.001 (0.001)	Loss 1.7809 (1.8189)	Prec@1 54.688 (52.284)	Prec@5 80.469 (81.733)
Epoch: [76][13590/14090]	Time 0.741 (0.754)	Data 0.001 (0.001)	Loss 1.9187 (1.8189)	Prec@1 49.219 (52.284)	Prec@5 79.688 (81.733)
Epoch: [76][13600/14090]	Time 0.753 (0.754)	Data 0.001 (0.001)	Loss 1.7688 (1.8189)	Prec@1 53.906 (52.285)	Prec@5 85.156 (81.734)
Epoch: [76][13610/14090]	Time 0.735 (0.754)	Data 0.001 (0.001)	Loss 1.8255 (1.8189)	Prec@1 53.906 (52.285)	Prec@5 82.031 (81.734)
Epoch: [76][13620/14090]	Time 0.733 (0.754)	Data 0.001 (0.001)	Loss 1.9438 (1.8189)	Prec@1 53.906 (52.284)	Prec@5 75.781 (81.734)
Epoch: [76][13630/14090]	Time 0.736 (0.754)	Data 0.001 (0.001)	Loss 1.6677 (1.8189)	Prec@1 57.031 (52.285)	Prec@5 85.156 (81.734)
Epoch: [76][13640/14090]	Time 0.772 (0.754)	Data 0.001 (0.001)	Loss 1.7686 (1.8189)	Prec@1 49.219 (52.283)	Prec@5 82.812 (81.734)
Epoch: [76][13650/14090]	Time 0.744 (0.754)	Data 0.001 (0.001)	Loss 1.9596 (1.8190)	Prec@1 50.781 (52.282)	Prec@5 76.562 (81.733)
Epoch: [76][13660/14090]	Time 0.727 (0.754)	Data 0.001 (0.001)	Loss 1.8530 (1.8191)	Prec@1 52.344 (52.281)	Prec@5 82.031 (81.731)
Epoch: [76][13670/14090]	Time 0.743 (0.754)	Data 0.001 (0.001)	Loss 1.8408 (1.8191)	Prec@1 52.344 (52.281)	Prec@5 82.031 (81.732)
Epoch: [76][13680/14090]	Time 0.758 (0.754)	Data 0.001 (0.001)	Loss 1.8936 (1.8191)	Prec@1 50.000 (52.281)	Prec@5 75.781 (81.731)
Epoch: [76][13690/14090]	Time 0.901 (0.754)	Data 0.001 (0.001)	Loss 1.7115 (1.8192)	Prec@1 53.125 (52.280)	Prec@5 86.719 (81.729)
Epoch: [76][13700/14090]	Time 0.774 (0.754)	Data 0.001 (0.001)	Loss 1.8484 (1.8192)	Prec@1 53.125 (52.281)	Prec@5 76.562 (81.730)
Epoch: [76][13710/14090]	Time 0.730 (0.754)	Data 0.001 (0.001)	Loss 1.9989 (1.8192)	Prec@1 40.625 (52.279)	Prec@5 80.469 (81.728)
Epoch: [76][13720/14090]	Time 0.729 (0.754)	Data 0.001 (0.001)	Loss 1.6628 (1.8192)	Prec@1 53.125 (52.280)	Prec@5 84.375 (81.728)
Epoch: [76][13730/14090]	Time 0.758 (0.754)	Data 0.001 (0.001)	Loss 1.6171 (1.8193)	Prec@1 58.594 (52.280)	Prec@5 85.938 (81.728)
Epoch: [76][13740/14090]	Time 0.778 (0.754)	Data 0.001 (0.001)	Loss 1.7052 (1.8193)	Prec@1 50.000 (52.279)	Prec@5 84.375 (81.729)
Epoch: [76][13750/14090]	Time 0.752 (0.754)	Data 0.001 (0.001)	Loss 1.9764 (1.8193)	Prec@1 53.125 (52.278)	Prec@5 75.781 (81.729)
Epoch: [76][13760/14090]	Time 0.745 (0.754)	Data 0.001 (0.001)	Loss 1.8735 (1.8193)	Prec@1 50.781 (52.279)	Prec@5 82.031 (81.730)
Epoch: [76][13770/14090]	Time 0.770 (0.754)	Data 0.001 (0.001)	Loss 1.8213 (1.8193)	Prec@1 47.656 (52.280)	Prec@5 80.469 (81.730)
Epoch: [76][13780/14090]	Time 0.736 (0.754)	Data 0.001 (0.001)	Loss 1.6088 (1.8192)	Prec@1 60.938 (52.280)	Prec@5 87.500 (81.730)
Epoch: [76][13790/14090]	Time 0.730 (0.754)	Data 0.001 (0.001)	Loss 1.9545 (1.8192)	Prec@1 48.438 (52.281)	Prec@5 77.344 (81.729)
Epoch: [76][13800/14090]	Time 0.772 (0.754)	Data 0.001 (0.001)	Loss 1.7629 (1.8193)	Prec@1 55.469 (52.280)	Prec@5 86.719 (81.729)
Epoch: [76][13810/14090]	Time 0.751 (0.754)	Data 0.001 (0.001)	Loss 1.5355 (1.8193)	Prec@1 57.031 (52.280)	Prec@5 89.844 (81.729)
Epoch: [76][13820/14090]	Time 0.767 (0.754)	Data 0.001 (0.001)	Loss 1.8489 (1.8193)	Prec@1 50.000 (52.279)	Prec@5 84.375 (81.729)
Epoch: [76][13830/14090]	Time 0.740 (0.754)	Data 0.001 (0.001)	Loss 1.5459 (1.8193)	Prec@1 57.812 (52.281)	Prec@5 86.719 (81.730)
Epoch: [76][13840/14090]	Time 0.762 (0.754)	Data 0.001 (0.001)	Loss 1.7183 (1.8193)	Prec@1 53.125 (52.280)	Prec@5 83.594 (81.728)
Epoch: [76][13850/14090]	Time 0.748 (0.754)	Data 0.001 (0.001)	Loss 1.8149 (1.8193)	Prec@1 50.000 (52.279)	Prec@5 82.031 (81.727)
Epoch: [76][13860/14090]	Time 0.730 (0.754)	Data 0.001 (0.001)	Loss 1.8290 (1.8194)	Prec@1 55.469 (52.276)	Prec@5 78.906 (81.725)
Epoch: [76][13870/14090]	Time 0.772 (0.754)	Data 0.001 (0.001)	Loss 1.9969 (1.8193)	Prec@1 44.531 (52.278)	Prec@5 81.250 (81.726)
Epoch: [76][13880/14090]	Time 0.760 (0.754)	Data 0.001 (0.001)	Loss 1.8427 (1.8193)	Prec@1 50.781 (52.279)	Prec@5 85.156 (81.727)
Epoch: [76][13890/14090]	Time 0.742 (0.754)	Data 0.001 (0.001)	Loss 1.9779 (1.8194)	Prec@1 46.094 (52.278)	Prec@5 84.375 (81.727)
Epoch: [76][13900/14090]	Time 0.733 (0.754)	Data 0.001 (0.001)	Loss 1.9239 (1.8194)	Prec@1 46.875 (52.276)	Prec@5 78.125 (81.726)
Epoch: [76][13910/14090]	Time 0.773 (0.754)	Data 0.001 (0.001)	Loss 1.9148 (1.8195)	Prec@1 46.094 (52.274)	Prec@5 82.812 (81.726)
Epoch: [76][13920/14090]	Time 0.736 (0.754)	Data 0.001 (0.001)	Loss 1.7206 (1.8195)	Prec@1 56.250 (52.274)	Prec@5 80.469 (81.726)
Epoch: [76][13930/14090]	Time 0.730 (0.754)	Data 0.001 (0.001)	Loss 1.8951 (1.8195)	Prec@1 52.344 (52.275)	Prec@5 80.469 (81.726)
Epoch: [76][13940/14090]	Time 0.739 (0.754)	Data 0.001 (0.001)	Loss 1.8554 (1.8195)	Prec@1 53.125 (52.275)	Prec@5 78.125 (81.726)
Epoch: [76][13950/14090]	Time 0.731 (0.754)	Data 0.001 (0.001)	Loss 1.7776 (1.8194)	Prec@1 50.781 (52.276)	Prec@5 79.688 (81.727)
Epoch: [76][13960/14090]	Time 0.745 (0.754)	Data 0.001 (0.001)	Loss 1.8718 (1.8194)	Prec@1 54.688 (52.277)	Prec@5 75.781 (81.726)
Epoch: [76][13970/14090]	Time 0.797 (0.754)	Data 0.001 (0.001)	Loss 1.6861 (1.8195)	Prec@1 53.906 (52.274)	Prec@5 82.031 (81.726)
Epoch: [76][13980/14090]	Time 0.754 (0.754)	Data 0.001 (0.001)	Loss 1.8991 (1.8195)	Prec@1 47.656 (52.274)	Prec@5 79.688 (81.726)
Epoch: [76][13990/14090]	Time 0.749 (0.754)	Data 0.001 (0.001)	Loss 1.9584 (1.8195)	Prec@1 46.875 (52.274)	Prec@5 75.781 (81.724)
Epoch: [76][14000/14090]	Time 0.733 (0.754)	Data 0.001 (0.001)	Loss 2.0237 (1.8195)	Prec@1 51.562 (52.274)	Prec@5 78.125 (81.724)
Epoch: [76][14010/14090]	Time 0.757 (0.754)	Data 0.001 (0.001)	Loss 1.7957 (1.8195)	Prec@1 47.656 (52.274)	Prec@5 79.688 (81.724)
Epoch: [76][14020/14090]	Time 0.731 (0.754)	Data 0.001 (0.001)	Loss 1.8908 (1.8195)	Prec@1 56.250 (52.275)	Prec@5 76.562 (81.724)
Epoch: [76][14030/14090]	Time 0.735 (0.754)	Data 0.001 (0.001)	Loss 1.9676 (1.8195)	Prec@1 48.438 (52.274)	Prec@5 79.688 (81.723)
Epoch: [76][14040/14090]	Time 0.738 (0.754)	Data 0.001 (0.001)	Loss 1.8891 (1.8195)	Prec@1 51.562 (52.276)	Prec@5 78.906 (81.724)
Epoch: [76][14050/14090]	Time 0.756 (0.754)	Data 0.001 (0.001)	Loss 1.9517 (1.8195)	Prec@1 47.656 (52.277)	Prec@5 78.906 (81.723)
Epoch: [76][14060/14090]	Time 0.748 (0.754)	Data 0.001 (0.001)	Loss 1.3517 (1.8195)	Prec@1 59.375 (52.277)	Prec@5 90.625 (81.722)
Epoch: [76][14070/14090]	Time 0.739 (0.754)	Data 0.001 (0.001)	Loss 1.9684 (1.8195)	Prec@1 51.562 (52.277)	Prec@5 81.250 (81.721)
Epoch: [76][14080/14090]	Time 0.765 (0.754)	Data 0.000 (0.001)	Loss 1.6925 (1.8196)	Prec@1 49.219 (52.275)	Prec@5 82.031 (81.719)
Test: [0/286]	Time 4.095 (4.095)	Loss 1.3122 (1.3122)	Prec@1 58.594 (58.594)	Prec@5 93.750 (93.750)
Test: [10/286]	Time 0.396 (0.685)	Loss 2.0168 (1.8573)	Prec@1 47.656 (51.847)	Prec@5 84.375 (83.239)
Test: [20/286]	Time 0.233 (0.521)	Loss 1.3268 (1.7502)	Prec@1 61.719 (53.311)	Prec@5 91.406 (84.821)
Test: [30/286]	Time 0.225 (0.461)	Loss 1.8876 (1.6669)	Prec@1 47.656 (55.746)	Prec@5 81.250 (85.307)
Test: [40/286]	Time 1.106 (0.453)	Loss 1.6210 (1.6625)	Prec@1 55.469 (55.736)	Prec@5 87.500 (85.614)
Test: [50/286]	Time 0.234 (0.435)	Loss 0.4479 (1.6626)	Prec@1 90.625 (55.653)	Prec@5 95.312 (85.830)
Test: [60/286]	Time 0.234 (0.416)	Loss 2.6752 (1.6921)	Prec@1 38.281 (55.302)	Prec@5 67.188 (84.772)
Test: [70/286]	Time 0.233 (0.406)	Loss 1.2135 (1.6730)	Prec@1 70.312 (55.733)	Prec@5 90.625 (85.024)
Test: [80/286]	Time 1.111 (0.406)	Loss 1.7268 (1.6954)	Prec@1 46.875 (54.794)	Prec@5 89.062 (84.963)
Test: [90/286]	Time 0.361 (0.400)	Loss 1.6956 (1.7039)	Prec@1 50.781 (54.610)	Prec@5 85.938 (84.821)
Test: [100/286]	Time 0.238 (0.396)	Loss 2.1289 (1.7086)	Prec@1 32.031 (54.185)	Prec@5 82.812 (84.940)
Test: [110/286]	Time 0.234 (0.390)	Loss 2.3731 (1.7293)	Prec@1 40.625 (53.794)	Prec@5 71.094 (84.713)
Test: [120/286]	Time 0.984 (0.392)	Loss 1.5044 (1.7142)	Prec@1 63.281 (54.352)	Prec@5 81.250 (84.859)
Test: [130/286]	Time 0.372 (0.390)	Loss 0.8419 (1.7055)	Prec@1 73.438 (54.664)	Prec@5 94.531 (84.948)
Test: [140/286]	Time 0.232 (0.387)	Loss 2.2375 (1.7025)	Prec@1 49.219 (54.748)	Prec@5 74.219 (84.924)
Test: [150/286]	Time 0.228 (0.385)	Loss 2.6706 (1.7168)	Prec@1 30.469 (54.217)	Prec@5 75.000 (84.835)
Test: [160/286]	Time 0.940 (0.386)	Loss 2.8087 (1.7142)	Prec@1 21.875 (54.304)	Prec@5 69.531 (84.787)
Test: [170/286]	Time 0.292 (0.385)	Loss 1.9784 (1.7104)	Prec@1 45.312 (54.413)	Prec@5 79.688 (84.859)
Test: [180/286]	Time 0.252 (0.383)	Loss 1.8808 (1.7200)	Prec@1 55.469 (54.152)	Prec@5 78.125 (84.738)
Test: [190/286]	Time 0.294 (0.382)	Loss 2.9395 (1.7393)	Prec@1 17.969 (53.620)	Prec@5 71.875 (84.539)
Test: [200/286]	Time 0.423 (0.381)	Loss 1.8357 (1.7354)	Prec@1 60.156 (53.727)	Prec@5 85.156 (84.569)
Test: [210/286]	Time 0.301 (0.382)	Loss 1.6502 (1.7394)	Prec@1 62.500 (53.629)	Prec@5 86.719 (84.549)
Test: [220/286]	Time 0.232 (0.380)	Loss 2.5407 (1.7418)	Prec@1 28.125 (53.659)	Prec@5 75.000 (84.449)
Test: [230/286]	Time 0.268 (0.379)	Loss 1.1267 (1.7410)	Prec@1 68.750 (53.663)	Prec@5 91.406 (84.429)
Test: [240/286]	Time 0.365 (0.378)	Loss 1.8083 (1.7382)	Prec@1 50.781 (53.770)	Prec@5 87.500 (84.501)
Test: [250/286]	Time 0.243 (0.381)	Loss 1.8064 (1.7294)	Prec@1 48.438 (53.828)	Prec@5 82.031 (84.661)
Test: [260/286]	Time 0.255 (0.379)	Loss 1.5901 (1.7194)	Prec@1 57.031 (54.149)	Prec@5 87.500 (84.824)
Test: [270/286]	Time 0.227 (0.378)	Loss 1.1279 (1.7207)	Prec@1 67.969 (54.134)	Prec@5 92.188 (84.779)
Test: [280/286]	Time 0.224 (0.377)	Loss 1.4945 (1.7053)	Prec@1 68.750 (54.726)	Prec@5 92.969 (84.939)
 * Prec@1 54.855 Prec@5 84.954
Epoch: [77][0/14090]	Time 5.429 (5.429)	Data 4.645 (4.645)	Loss 1.7741 (1.7741)	Prec@1 50.000 (50.000)	Prec@5 81.250 (81.250)
Epoch: [77][10/14090]	Time 0.723 (1.151)	Data 0.001 (0.423)	Loss 1.4968 (1.7903)	Prec@1 64.844 (51.989)	Prec@5 87.500 (82.315)
Epoch: [77][20/14090]	Time 0.751 (0.952)	Data 0.001 (0.222)	Loss 1.7021 (1.7763)	Prec@1 53.906 (52.381)	Prec@5 86.719 (82.812)
Epoch: [77][30/14090]	Time 0.771 (0.884)	Data 0.001 (0.151)	Loss 1.7261 (1.7881)	Prec@1 58.594 (52.016)	Prec@5 81.250 (82.409)
Epoch: [77][40/14090]	Time 0.733 (0.849)	Data 0.001 (0.114)	Loss 1.9274 (1.7955)	Prec@1 50.781 (52.096)	Prec@5 80.469 (82.412)
Epoch: [77][50/14090]	Time 0.756 (0.829)	Data 0.001 (0.092)	Loss 1.7996 (1.8028)	Prec@1 54.688 (52.221)	Prec@5 79.688 (82.031)
Epoch: [77][60/14090]	Time 0.742 (0.816)	Data 0.001 (0.077)	Loss 1.6811 (1.7939)	Prec@1 60.938 (52.702)	Prec@5 85.156 (82.159)
Epoch: [77][70/14090]	Time 0.759 (0.807)	Data 0.001 (0.066)	Loss 1.8974 (1.8033)	Prec@1 52.344 (52.630)	Prec@5 78.125 (82.009)
Epoch: [77][80/14090]	Time 0.739 (0.800)	Data 0.001 (0.058)	Loss 1.5917 (1.8021)	Prec@1 57.812 (52.681)	Prec@5 86.719 (82.031)
Epoch: [77][90/14090]	Time 0.753 (0.794)	Data 0.001 (0.052)	Loss 1.9079 (1.8060)	Prec@1 47.656 (52.550)	Prec@5 82.812 (81.980)
Epoch: [77][100/14090]	Time 0.728 (0.789)	Data 0.001 (0.047)	Loss 1.8627 (1.8149)	Prec@1 50.781 (52.413)	Prec@5 81.250 (81.699)
Epoch: [77][110/14090]	Time 0.723 (0.786)	Data 0.001 (0.043)	Loss 1.8203 (1.8146)	Prec@1 54.688 (52.435)	Prec@5 77.344 (81.602)
Epoch: [77][120/14090]	Time 0.741 (0.783)	Data 0.001 (0.039)	Loss 1.5597 (1.8145)	Prec@1 61.719 (52.382)	Prec@5 85.938 (81.579)
Epoch: [77][130/14090]	Time 0.756 (0.781)	Data 0.001 (0.036)	Loss 1.9409 (1.8180)	Prec@1 51.562 (52.296)	Prec@5 82.031 (81.626)
Epoch: [77][140/14090]	Time 0.738 (0.779)	Data 0.001 (0.034)	Loss 1.6283 (1.8168)	Prec@1 59.375 (52.233)	Prec@5 85.156 (81.699)
Epoch: [77][150/14090]	Time 0.752 (0.777)	Data 0.001 (0.032)	Loss 1.8642 (1.8162)	Prec@1 53.125 (52.230)	Prec@5 82.812 (81.669)
Epoch: [77][160/14090]	Time 0.772 (0.776)	Data 0.001 (0.030)	Loss 1.8319 (1.8148)	Prec@1 46.094 (52.247)	Prec@5 80.469 (81.687)
Epoch: [77][170/14090]	Time 0.738 (0.774)	Data 0.001 (0.028)	Loss 1.9054 (1.8153)	Prec@1 53.125 (52.357)	Prec@5 81.250 (81.684)
Epoch: [77][180/14090]	Time 0.748 (0.773)	Data 0.001 (0.027)	Loss 1.7946 (1.8118)	Prec@1 52.344 (52.400)	Prec@5 80.469 (81.768)
Epoch: [77][190/14090]	Time 0.738 (0.772)	Data 0.001 (0.025)	Loss 1.8531 (1.8173)	Prec@1 51.562 (52.331)	Prec@5 79.688 (81.659)
Epoch: [77][200/14090]	Time 0.769 (0.771)	Data 0.001 (0.024)	Loss 1.5831 (1.8144)	Prec@1 60.938 (52.460)	Prec@5 85.938 (81.736)
Epoch: [77][210/14090]	Time 0.758 (0.770)	Data 0.001 (0.023)	Loss 1.9141 (1.8146)	Prec@1 44.531 (52.414)	Prec@5 82.031 (81.742)
Epoch: [77][220/14090]	Time 0.731 (0.769)	Data 0.001 (0.022)	Loss 1.8599 (1.8150)	Prec@1 50.000 (52.404)	Prec@5 82.031 (81.695)
Epoch: [77][230/14090]	Time 0.742 (0.769)	Data 0.001 (0.021)	Loss 1.9293 (1.8138)	Prec@1 46.875 (52.415)	Prec@5 82.031 (81.815)
Epoch: [77][240/14090]	Time 0.768 (0.768)	Data 0.001 (0.020)	Loss 2.0015 (1.8164)	Prec@1 48.438 (52.383)	Prec@5 76.562 (81.791)
Epoch: [77][250/14090]	Time 0.742 (0.767)	Data 0.001 (0.019)	Loss 2.0199 (1.8138)	Prec@1 49.219 (52.471)	Prec@5 78.906 (81.857)
Epoch: [77][260/14090]	Time 0.738 (0.767)	Data 0.001 (0.019)	Loss 1.6740 (1.8134)	Prec@1 51.562 (52.499)	Prec@5 85.156 (81.876)
Epoch: [77][270/14090]	Time 0.723 (0.766)	Data 0.001 (0.018)	Loss 1.9108 (1.8139)	Prec@1 48.438 (52.577)	Prec@5 79.688 (81.832)
Epoch: [77][280/14090]	Time 0.743 (0.765)	Data 0.001 (0.017)	Loss 1.8956 (1.8159)	Prec@1 56.250 (52.536)	Prec@5 79.688 (81.792)
Epoch: [77][290/14090]	Time 0.768 (0.765)	Data 0.001 (0.017)	Loss 1.8765 (1.8166)	Prec@1 52.344 (52.508)	Prec@5 82.031 (81.768)
Epoch: [77][300/14090]	Time 0.798 (0.765)	Data 0.001 (0.016)	Loss 1.7355 (1.8179)	Prec@1 49.219 (52.424)	Prec@5 85.156 (81.777)
Epoch: [77][310/14090]	Time 0.747 (0.765)	Data 0.001 (0.016)	Loss 1.7156 (1.8183)	Prec@1 52.344 (52.381)	Prec@5 82.031 (81.745)
Epoch: [77][320/14090]	Time 0.778 (0.764)	Data 0.001 (0.015)	Loss 1.7859 (1.8220)	Prec@1 57.812 (52.334)	Prec@5 82.812 (81.708)
Epoch: [77][330/14090]	Time 0.745 (0.764)	Data 0.001 (0.015)	Loss 1.7114 (1.8238)	Prec@1 55.469 (52.315)	Prec@5 80.469 (81.623)
Epoch: [77][340/14090]	Time 0.758 (0.763)	Data 0.001 (0.014)	Loss 1.8561 (1.8219)	Prec@1 50.000 (52.330)	Prec@5 79.688 (81.672)
Epoch: [77][350/14090]	Time 0.744 (0.763)	Data 0.001 (0.014)	Loss 1.8509 (1.8210)	Prec@1 57.031 (52.353)	Prec@5 82.812 (81.693)
Epoch: [77][360/14090]	Time 0.756 (0.763)	Data 0.001 (0.014)	Loss 1.6417 (1.8185)	Prec@1 57.031 (52.363)	Prec@5 83.594 (81.730)
Epoch: [77][370/14090]	Time 0.758 (0.762)	Data 0.001 (0.013)	Loss 1.6678 (1.8152)	Prec@1 56.250 (52.413)	Prec@5 84.375 (81.787)
Epoch: [77][380/14090]	Time 0.748 (0.762)	Data 0.001 (0.013)	Loss 1.6368 (1.8143)	Prec@1 54.688 (52.448)	Prec@5 85.938 (81.793)
Epoch: [77][390/14090]	Time 0.756 (0.762)	Data 0.001 (0.013)	Loss 2.0162 (1.8141)	Prec@1 51.562 (52.442)	Prec@5 78.906 (81.785)
Epoch: [77][400/14090]	Time 0.747 (0.761)	Data 0.001 (0.012)	Loss 1.9626 (1.8135)	Prec@1 49.219 (52.488)	Prec@5 78.906 (81.778)
Epoch: [77][410/14090]	Time 0.776 (0.761)	Data 0.001 (0.012)	Loss 1.6180 (1.8111)	Prec@1 51.562 (52.545)	Prec@5 88.281 (81.837)
Epoch: [77][420/14090]	Time 0.750 (0.761)	Data 0.001 (0.012)	Loss 1.8079 (1.8121)	Prec@1 53.906 (52.529)	Prec@5 79.688 (81.827)
Epoch: [77][430/14090]	Time 0.734 (0.761)	Data 0.001 (0.012)	Loss 1.7835 (1.8121)	Prec@1 50.000 (52.511)	Prec@5 83.594 (81.814)
Epoch: [77][440/14090]	Time 0.778 (0.761)	Data 0.001 (0.011)	Loss 1.8240 (1.8126)	Prec@1 51.562 (52.461)	Prec@5 83.594 (81.801)
Epoch: [77][450/14090]	Time 0.736 (0.760)	Data 0.001 (0.011)	Loss 1.5570 (1.8126)	Prec@1 57.031 (52.423)	Prec@5 84.375 (81.813)
Epoch: [77][460/14090]	Time 0.742 (0.760)	Data 0.001 (0.011)	Loss 1.7707 (1.8141)	Prec@1 57.031 (52.420)	Prec@5 83.594 (81.792)
Epoch: [77][470/14090]	Time 0.781 (0.760)	Data 0.001 (0.011)	Loss 1.5300 (1.8129)	Prec@1 58.594 (52.420)	Prec@5 86.719 (81.822)
Epoch: [77][480/14090]	Time 0.756 (0.760)	Data 0.001 (0.010)	Loss 1.8597 (1.8153)	Prec@1 50.000 (52.370)	Prec@5 78.125 (81.770)
Epoch: [77][490/14090]	Time 0.755 (0.760)	Data 0.001 (0.010)	Loss 1.8586 (1.8141)	Prec@1 51.562 (52.388)	Prec@5 80.469 (81.788)
Epoch: [77][500/14090]	Time 0.730 (0.760)	Data 0.001 (0.010)	Loss 1.9889 (1.8145)	Prec@1 50.000 (52.422)	Prec@5 78.906 (81.761)
Epoch: [77][510/14090]	Time 0.784 (0.759)	Data 0.001 (0.010)	Loss 1.7626 (1.8133)	Prec@1 50.781 (52.460)	Prec@5 80.469 (81.796)
Epoch: [77][520/14090]	Time 0.771 (0.759)	Data 0.001 (0.010)	Loss 1.6158 (1.8122)	Prec@1 52.344 (52.453)	Prec@5 83.594 (81.805)
Epoch: [77][530/14090]	Time 0.753 (0.759)	Data 0.001 (0.010)	Loss 1.8367 (1.8116)	Prec@1 49.219 (52.473)	Prec@5 84.375 (81.816)
Epoch: [77][540/14090]	Time 0.725 (0.759)	Data 0.001 (0.009)	Loss 1.8838 (1.8110)	Prec@1 49.219 (52.484)	Prec@5 82.031 (81.835)
Epoch: [77][550/14090]	Time 0.729 (0.759)	Data 0.001 (0.009)	Loss 1.7154 (1.8119)	Prec@1 50.781 (52.443)	Prec@5 82.812 (81.827)
Epoch: [77][560/14090]	Time 0.760 (0.759)	Data 0.001 (0.009)	Loss 1.6799 (1.8114)	Prec@1 54.688 (52.419)	Prec@5 85.156 (81.832)
Epoch: [77][570/14090]	Time 0.920 (0.759)	Data 0.001 (0.009)	Loss 1.6194 (1.8122)	Prec@1 52.344 (52.388)	Prec@5 89.062 (81.819)
Epoch: [77][580/14090]	Time 0.757 (0.759)	Data 0.001 (0.009)	Loss 1.7653 (1.8121)	Prec@1 50.781 (52.373)	Prec@5 84.375 (81.828)
Epoch: [77][590/14090]	Time 0.766 (0.759)	Data 0.001 (0.009)	Loss 1.7167 (1.8110)	Prec@1 55.469 (52.389)	Prec@5 85.156 (81.865)
Epoch: [77][600/14090]	Time 0.754 (0.759)	Data 0.001 (0.009)	Loss 1.8263 (1.8111)	Prec@1 52.344 (52.423)	Prec@5 80.469 (81.847)
Epoch: [77][610/14090]	Time 0.752 (0.759)	Data 0.001 (0.008)	Loss 1.9714 (1.8122)	Prec@1 49.219 (52.387)	Prec@5 77.344 (81.822)
Epoch: [77][620/14090]	Time 0.756 (0.759)	Data 0.001 (0.008)	Loss 2.0227 (1.8122)	Prec@1 42.969 (52.380)	Prec@5 77.344 (81.804)
Epoch: [77][630/14090]	Time 0.779 (0.758)	Data 0.001 (0.008)	Loss 1.5464 (1.8110)	Prec@1 56.250 (52.414)	Prec@5 85.938 (81.831)
Epoch: [77][640/14090]	Time 0.814 (0.758)	Data 0.001 (0.008)	Loss 1.6816 (1.8113)	Prec@1 59.375 (52.401)	Prec@5 83.594 (81.817)
Epoch: [77][650/14090]	Time 0.731 (0.758)	Data 0.001 (0.008)	Loss 1.5716 (1.8103)	Prec@1 54.688 (52.415)	Prec@5 91.406 (81.857)
Epoch: [77][660/14090]	Time 0.756 (0.758)	Data 0.001 (0.008)	Loss 1.7320 (1.8102)	Prec@1 54.688 (52.439)	Prec@5 82.031 (81.854)
Epoch: [77][670/14090]	Time 0.779 (0.758)	Data 0.001 (0.008)	Loss 1.6619 (1.8112)	Prec@1 55.469 (52.431)	Prec@5 86.719 (81.843)
Epoch: [77][680/14090]	Time 0.751 (0.758)	Data 0.001 (0.008)	Loss 1.5772 (1.8121)	Prec@1 58.594 (52.426)	Prec@5 84.375 (81.827)
Epoch: [77][690/14090]	Time 0.791 (0.758)	Data 0.001 (0.008)	Loss 1.6179 (1.8125)	Prec@1 55.469 (52.404)	Prec@5 86.719 (81.833)
Epoch: [77][700/14090]	Time 0.787 (0.758)	Data 0.001 (0.007)	Loss 1.7435 (1.8126)	Prec@1 50.781 (52.407)	Prec@5 83.594 (81.847)
Epoch: [77][710/14090]	Time 0.733 (0.758)	Data 0.001 (0.007)	Loss 1.8914 (1.8130)	Prec@1 53.125 (52.395)	Prec@5 81.250 (81.826)
Epoch: [77][720/14090]	Time 0.730 (0.758)	Data 0.001 (0.007)	Loss 1.6885 (1.8145)	Prec@1 56.250 (52.371)	Prec@5 82.031 (81.790)
Epoch: [77][730/14090]	Time 0.744 (0.757)	Data 0.001 (0.007)	Loss 1.9502 (1.8142)	Prec@1 48.438 (52.338)	Prec@5 80.469 (81.789)
Epoch: [77][740/14090]	Time 0.746 (0.757)	Data 0.001 (0.007)	Loss 2.1233 (1.8141)	Prec@1 48.438 (52.341)	Prec@5 75.000 (81.783)
Epoch: [77][750/14090]	Time 0.735 (0.757)	Data 0.001 (0.007)	Loss 1.8713 (1.8146)	Prec@1 46.875 (52.333)	Prec@5 82.812 (81.782)
Epoch: [77][760/14090]	Time 0.758 (0.757)	Data 0.001 (0.007)	Loss 1.5360 (1.8146)	Prec@1 54.688 (52.317)	Prec@5 87.500 (81.784)
Epoch: [77][770/14090]	Time 0.741 (0.757)	Data 0.001 (0.007)	Loss 1.6533 (1.8145)	Prec@1 50.000 (52.332)	Prec@5 88.281 (81.792)
Epoch: [77][780/14090]	Time 0.729 (0.757)	Data 0.001 (0.007)	Loss 1.5550 (1.8140)	Prec@1 61.719 (52.347)	Prec@5 88.281 (81.801)
Epoch: [77][790/14090]	Time 0.731 (0.757)	Data 0.001 (0.007)	Loss 1.6397 (1.8143)	Prec@1 52.344 (52.338)	Prec@5 82.812 (81.794)
Epoch: [77][800/14090]	Time 0.785 (0.757)	Data 0.001 (0.007)	Loss 1.5014 (1.8136)	Prec@1 61.719 (52.348)	Prec@5 88.281 (81.811)
Epoch: [77][810/14090]	Time 0.744 (0.757)	Data 0.001 (0.007)	Loss 1.8359 (1.8135)	Prec@1 50.781 (52.342)	Prec@5 83.594 (81.820)
Epoch: [77][820/14090]	Time 0.733 (0.757)	Data 0.001 (0.007)	Loss 1.8852 (1.8143)	Prec@1 52.344 (52.345)	Prec@5 80.469 (81.802)
Epoch: [77][830/14090]	Time 0.774 (0.757)	Data 0.001 (0.006)	Loss 1.7147 (1.8139)	Prec@1 57.031 (52.358)	Prec@5 85.156 (81.816)
Epoch: [77][840/14090]	Time 0.778 (0.757)	Data 0.001 (0.006)	Loss 2.0192 (1.8133)	Prec@1 47.656 (52.384)	Prec@5 81.250 (81.832)
Epoch: [77][850/14090]	Time 0.880 (0.757)	Data 0.001 (0.006)	Loss 1.8182 (1.8141)	Prec@1 54.688 (52.373)	Prec@5 80.469 (81.814)
Epoch: [77][860/14090]	Time 0.757 (0.757)	Data 0.001 (0.006)	Loss 1.7500 (1.8135)	Prec@1 51.562 (52.400)	Prec@5 84.375 (81.844)
Epoch: [77][870/14090]	Time 0.733 (0.757)	Data 0.001 (0.006)	Loss 1.9318 (1.8138)	Prec@1 53.906 (52.405)	Prec@5 78.906 (81.834)
Epoch: [77][880/14090]	Time 0.756 (0.757)	Data 0.001 (0.006)	Loss 1.8006 (1.8141)	Prec@1 55.469 (52.409)	Prec@5 79.688 (81.832)
Epoch: [77][890/14090]	Time 0.745 (0.757)	Data 0.001 (0.006)	Loss 1.8562 (1.8153)	Prec@1 46.875 (52.388)	Prec@5 78.906 (81.805)
Epoch: [77][900/14090]	Time 0.765 (0.757)	Data 0.002 (0.006)	Loss 2.0094 (1.8146)	Prec@1 49.219 (52.415)	Prec@5 76.562 (81.812)
Epoch: [77][910/14090]	Time 0.744 (0.757)	Data 0.001 (0.006)	Loss 1.8083 (1.8142)	Prec@1 50.000 (52.411)	Prec@5 80.469 (81.816)
Epoch: [77][920/14090]	Time 0.838 (0.757)	Data 0.001 (0.006)	Loss 1.9202 (1.8141)	Prec@1 50.781 (52.408)	Prec@5 78.125 (81.806)
Epoch: [77][930/14090]	Time 0.756 (0.757)	Data 0.001 (0.006)	Loss 1.6315 (1.8134)	Prec@1 58.594 (52.425)	Prec@5 84.375 (81.812)
Epoch: [77][940/14090]	Time 0.753 (0.757)	Data 0.001 (0.006)	Loss 1.9163 (1.8135)	Prec@1 50.781 (52.425)	Prec@5 78.125 (81.805)
Epoch: [77][950/14090]	Time 0.776 (0.757)	Data 0.001 (0.006)	Loss 1.9248 (1.8130)	Prec@1 46.094 (52.437)	Prec@5 81.250 (81.807)
Epoch: [77][960/14090]	Time 0.724 (0.757)	Data 0.001 (0.006)	Loss 1.6380 (1.8131)	Prec@1 57.031 (52.423)	Prec@5 84.375 (81.801)
Epoch: [77][970/14090]	Time 0.742 (0.757)	Data 0.001 (0.006)	Loss 1.8412 (1.8130)	Prec@1 53.125 (52.429)	Prec@5 83.594 (81.811)
Epoch: [77][980/14090]	Time 0.750 (0.757)	Data 0.001 (0.006)	Loss 1.9006 (1.8135)	Prec@1 54.688 (52.412)	Prec@5 78.125 (81.815)
Epoch: [77][990/14090]	Time 0.758 (0.757)	Data 0.001 (0.006)	Loss 1.8696 (1.8138)	Prec@1 50.781 (52.404)	Prec@5 82.812 (81.807)
Epoch: [77][1000/14090]	Time 0.733 (0.757)	Data 0.001 (0.005)	Loss 1.9125 (1.8135)	Prec@1 51.562 (52.411)	Prec@5 81.250 (81.821)
Epoch: [77][1010/14090]	Time 0.768 (0.757)	Data 0.001 (0.005)	Loss 1.8428 (1.8137)	Prec@1 47.656 (52.413)	Prec@5 78.906 (81.811)
Epoch: [77][1020/14090]	Time 0.753 (0.757)	Data 0.001 (0.005)	Loss 1.8542 (1.8145)	Prec@1 47.656 (52.386)	Prec@5 82.031 (81.797)
Epoch: [77][1030/14090]	Time 0.759 (0.757)	Data 0.001 (0.005)	Loss 1.8659 (1.8137)	Prec@1 48.438 (52.406)	Prec@5 80.469 (81.815)
Epoch: [77][1040/14090]	Time 0.745 (0.757)	Data 0.001 (0.005)	Loss 1.8488 (1.8134)	Prec@1 53.125 (52.430)	Prec@5 80.469 (81.820)
Epoch: [77][1050/14090]	Time 0.745 (0.757)	Data 0.001 (0.005)	Loss 2.0882 (1.8138)	Prec@1 40.625 (52.423)	Prec@5 77.344 (81.819)
Epoch: [77][1060/14090]	Time 0.762 (0.757)	Data 0.001 (0.005)	Loss 1.6987 (1.8138)	Prec@1 57.031 (52.436)	Prec@5 83.594 (81.815)
Epoch: [77][1070/14090]	Time 0.749 (0.757)	Data 0.001 (0.005)	Loss 1.6738 (1.8139)	Prec@1 53.906 (52.436)	Prec@5 83.594 (81.823)
Epoch: [77][1080/14090]	Time 0.726 (0.756)	Data 0.001 (0.005)	Loss 1.9550 (1.8144)	Prec@1 46.094 (52.422)	Prec@5 80.469 (81.814)
Epoch: [77][1090/14090]	Time 0.754 (0.757)	Data 0.001 (0.005)	Loss 1.9457 (1.8137)	Prec@1 50.781 (52.449)	Prec@5 75.000 (81.821)
Epoch: [77][1100/14090]	Time 0.769 (0.757)	Data 0.001 (0.005)	Loss 1.9654 (1.8134)	Prec@1 53.125 (52.452)	Prec@5 78.906 (81.818)
Epoch: [77][1110/14090]	Time 0.773 (0.756)	Data 0.001 (0.005)	Loss 2.0485 (1.8137)	Prec@1 47.656 (52.449)	Prec@5 77.344 (81.801)
Epoch: [77][1120/14090]	Time 0.733 (0.756)	Data 0.001 (0.005)	Loss 1.6754 (1.8138)	Prec@1 55.469 (52.448)	Prec@5 85.938 (81.801)
Epoch: [77][1130/14090]	Time 0.771 (0.757)	Data 0.001 (0.005)	Loss 1.8808 (1.8139)	Prec@1 50.000 (52.448)	Prec@5 83.594 (81.798)
Epoch: [77][1140/14090]	Time 0.740 (0.756)	Data 0.001 (0.005)	Loss 1.6982 (1.8137)	Prec@1 55.469 (52.451)	Prec@5 82.031 (81.799)
Epoch: [77][1150/14090]	Time 0.754 (0.756)	Data 0.001 (0.005)	Loss 1.7955 (1.8140)	Prec@1 57.031 (52.446)	Prec@5 84.375 (81.796)
Epoch: [77][1160/14090]	Time 0.763 (0.756)	Data 0.001 (0.005)	Loss 1.4396 (1.8138)	Prec@1 56.250 (52.445)	Prec@5 92.969 (81.796)
Epoch: [77][1170/14090]	Time 0.778 (0.756)	Data 0.001 (0.005)	Loss 1.6547 (1.8138)	Prec@1 56.250 (52.450)	Prec@5 82.812 (81.790)
Epoch: [77][1180/14090]	Time 0.738 (0.756)	Data 0.002 (0.005)	Loss 2.1362 (1.8143)	Prec@1 42.969 (52.448)	Prec@5 74.219 (81.777)
Epoch: [77][1190/14090]	Time 0.751 (0.756)	Data 0.001 (0.005)	Loss 1.6590 (1.8147)	Prec@1 55.469 (52.441)	Prec@5 86.719 (81.777)
Epoch: [77][1200/14090]	Time 0.771 (0.756)	Data 0.001 (0.005)	Loss 1.7401 (1.8143)	Prec@1 57.812 (52.450)	Prec@5 82.812 (81.787)
Epoch: [77][1210/14090]	Time 0.760 (0.756)	Data 0.001 (0.005)	Loss 1.7454 (1.8138)	Prec@1 56.250 (52.465)	Prec@5 78.125 (81.789)
Epoch: [77][1220/14090]	Time 0.751 (0.756)	Data 0.001 (0.005)	Loss 1.8318 (1.8132)	Prec@1 54.688 (52.476)	Prec@5 81.250 (81.791)
Epoch: [77][1230/14090]	Time 0.744 (0.756)	Data 0.001 (0.005)	Loss 1.6899 (1.8133)	Prec@1 55.469 (52.478)	Prec@5 85.938 (81.798)
Epoch: [77][1240/14090]	Time 0.732 (0.756)	Data 0.001 (0.005)	Loss 1.6752 (1.8131)	Prec@1 52.344 (52.458)	Prec@5 88.281 (81.796)
Epoch: [77][1250/14090]	Time 0.767 (0.756)	Data 0.001 (0.005)	Loss 1.7352 (1.8133)	Prec@1 50.000 (52.469)	Prec@5 81.250 (81.791)
Epoch: [77][1260/14090]	Time 0.762 (0.756)	Data 0.001 (0.005)	Loss 1.8675 (1.8131)	Prec@1 48.438 (52.469)	Prec@5 82.031 (81.800)
Epoch: [77][1270/14090]	Time 0.734 (0.756)	Data 0.001 (0.005)	Loss 1.8595 (1.8126)	Prec@1 47.656 (52.480)	Prec@5 84.375 (81.814)
Epoch: [77][1280/14090]	Time 0.739 (0.756)	Data 0.001 (0.004)	Loss 1.8216 (1.8125)	Prec@1 44.531 (52.481)	Prec@5 85.156 (81.816)
Epoch: [77][1290/14090]	Time 0.723 (0.756)	Data 0.001 (0.004)	Loss 1.6890 (1.8128)	Prec@1 57.812 (52.470)	Prec@5 85.938 (81.822)
Epoch: [77][1300/14090]	Time 0.732 (0.756)	Data 0.001 (0.004)	Loss 1.6559 (1.8124)	Prec@1 57.812 (52.489)	Prec@5 85.156 (81.826)
Epoch: [77][1310/14090]	Time 0.783 (0.756)	Data 0.001 (0.004)	Loss 2.0352 (1.8123)	Prec@1 44.531 (52.492)	Prec@5 78.125 (81.817)
Epoch: [77][1320/14090]	Time 0.733 (0.756)	Data 0.001 (0.004)	Loss 1.7682 (1.8121)	Prec@1 54.688 (52.493)	Prec@5 83.594 (81.820)
Epoch: [77][1330/14090]	Time 0.756 (0.756)	Data 0.001 (0.004)	Loss 1.9329 (1.8124)	Prec@1 48.438 (52.470)	Prec@5 78.125 (81.822)
Epoch: [77][1340/14090]	Time 0.726 (0.756)	Data 0.001 (0.004)	Loss 1.9234 (1.8126)	Prec@1 42.969 (52.467)	Prec@5 81.250 (81.820)
Epoch: [77][1350/14090]	Time 0.741 (0.756)	Data 0.002 (0.004)	Loss 1.6792 (1.8122)	Prec@1 52.344 (52.473)	Prec@5 82.812 (81.830)
Epoch: [77][1360/14090]	Time 0.746 (0.756)	Data 0.001 (0.004)	Loss 2.0881 (1.8126)	Prec@1 46.875 (52.465)	Prec@5 75.781 (81.816)
Epoch: [77][1370/14090]	Time 0.733 (0.756)	Data 0.001 (0.004)	Loss 1.7174 (1.8125)	Prec@1 53.125 (52.462)	Prec@5 82.031 (81.822)
Epoch: [77][1380/14090]	Time 0.774 (0.756)	Data 0.001 (0.004)	Loss 1.9764 (1.8128)	Prec@1 49.219 (52.463)	Prec@5 78.125 (81.821)
Epoch: [77][1390/14090]	Time 0.746 (0.756)	Data 0.001 (0.004)	Loss 1.9758 (1.8121)	Prec@1 48.438 (52.472)	Prec@5 79.688 (81.835)
Epoch: [77][1400/14090]	Time 0.772 (0.756)	Data 0.001 (0.004)	Loss 1.7960 (1.8122)	Prec@1 53.125 (52.468)	Prec@5 82.031 (81.836)
Epoch: [77][1410/14090]	Time 0.736 (0.756)	Data 0.001 (0.004)	Loss 2.0274 (1.8126)	Prec@1 46.875 (52.462)	Prec@5 80.469 (81.830)
Epoch: [77][1420/14090]	Time 0.739 (0.756)	Data 0.001 (0.004)	Loss 1.6279 (1.8130)	Prec@1 57.031 (52.460)	Prec@5 84.375 (81.831)
Epoch: [77][1430/14090]	Time 0.772 (0.755)	Data 0.001 (0.004)	Loss 1.8779 (1.8130)	Prec@1 53.906 (52.455)	Prec@5 77.344 (81.827)
Epoch: [77][1440/14090]	Time 0.734 (0.755)	Data 0.001 (0.004)	Loss 2.0407 (1.8135)	Prec@1 50.000 (52.442)	Prec@5 79.688 (81.821)
Epoch: [77][1450/14090]	Time 0.729 (0.755)	Data 0.001 (0.004)	Loss 1.7893 (1.8137)	Prec@1 53.906 (52.430)	Prec@5 84.375 (81.819)
Epoch: [77][1460/14090]	Time 0.754 (0.755)	Data 0.001 (0.004)	Loss 1.8447 (1.8141)	Prec@1 42.969 (52.424)	Prec@5 84.375 (81.805)
Epoch: [77][1470/14090]	Time 0.759 (0.755)	Data 0.001 (0.004)	Loss 2.0784 (1.8147)	Prec@1 47.656 (52.420)	Prec@5 77.344 (81.797)
Epoch: [77][1480/14090]	Time 0.832 (0.755)	Data 0.001 (0.004)	Loss 1.8987 (1.8147)	Prec@1 50.000 (52.415)	Prec@5 81.250 (81.798)
Epoch: [77][1490/14090]	Time 0.744 (0.755)	Data 0.001 (0.004)	Loss 2.0225 (1.8147)	Prec@1 49.219 (52.408)	Prec@5 75.781 (81.792)
Epoch: [77][1500/14090]	Time 0.781 (0.755)	Data 0.001 (0.004)	Loss 1.8681 (1.8147)	Prec@1 50.000 (52.398)	Prec@5 79.688 (81.787)
Epoch: [77][1510/14090]	Time 0.763 (0.755)	Data 0.001 (0.004)	Loss 1.4340 (1.8142)	Prec@1 60.156 (52.406)	Prec@5 90.625 (81.797)
Epoch: [77][1520/14090]	Time 0.733 (0.755)	Data 0.001 (0.004)	Loss 1.8080 (1.8143)	Prec@1 49.219 (52.405)	Prec@5 84.375 (81.801)
Epoch: [77][1530/14090]	Time 0.761 (0.755)	Data 0.001 (0.004)	Loss 1.7571 (1.8142)	Prec@1 48.438 (52.411)	Prec@5 79.688 (81.801)
Epoch: [77][1540/14090]	Time 0.732 (0.755)	Data 0.001 (0.004)	Loss 1.6643 (1.8141)	Prec@1 56.250 (52.415)	Prec@5 82.812 (81.799)
Epoch: [77][1550/14090]	Time 0.778 (0.755)	Data 0.001 (0.004)	Loss 1.7238 (1.8135)	Prec@1 57.031 (52.428)	Prec@5 82.812 (81.801)
Epoch: [77][1560/14090]	Time 0.787 (0.755)	Data 0.001 (0.004)	Loss 1.9167 (1.8138)	Prec@1 53.125 (52.419)	Prec@5 78.906 (81.798)
Epoch: [77][1570/14090]	Time 0.727 (0.755)	Data 0.001 (0.004)	Loss 1.5413 (1.8134)	Prec@1 51.562 (52.412)	Prec@5 90.625 (81.806)
Epoch: [77][1580/14090]	Time 0.775 (0.755)	Data 0.001 (0.004)	Loss 1.9009 (1.8137)	Prec@1 50.000 (52.413)	Prec@5 80.469 (81.797)
Epoch: [77][1590/14090]	Time 0.743 (0.755)	Data 0.001 (0.004)	Loss 1.9010 (1.8136)	Prec@1 50.000 (52.407)	Prec@5 80.469 (81.794)
Epoch: [77][1600/14090]	Time 0.769 (0.755)	Data 0.001 (0.004)	Loss 1.8438 (1.8139)	Prec@1 50.000 (52.404)	Prec@5 82.812 (81.783)
Epoch: [77][1610/14090]	Time 0.751 (0.755)	Data 0.001 (0.004)	Loss 1.6680 (1.8137)	Prec@1 55.469 (52.407)	Prec@5 85.938 (81.784)
Epoch: [77][1620/14090]	Time 0.740 (0.755)	Data 0.001 (0.004)	Loss 1.5058 (1.8133)	Prec@1 57.031 (52.414)	Prec@5 87.500 (81.797)
Epoch: [77][1630/14090]	Time 0.733 (0.755)	Data 0.001 (0.004)	Loss 2.1130 (1.8129)	Prec@1 52.344 (52.429)	Prec@5 80.469 (81.805)
Epoch: [77][1640/14090]	Time 0.755 (0.755)	Data 0.001 (0.004)	Loss 1.7818 (1.8128)	Prec@1 55.469 (52.433)	Prec@5 81.250 (81.807)
Epoch: [77][1650/14090]	Time 0.746 (0.755)	Data 0.001 (0.004)	Loss 2.0100 (1.8132)	Prec@1 46.875 (52.419)	Prec@5 79.688 (81.805)
Epoch: [77][1660/14090]	Time 0.732 (0.755)	Data 0.001 (0.004)	Loss 1.9644 (1.8134)	Prec@1 52.344 (52.420)	Prec@5 78.125 (81.801)
Epoch: [77][1670/14090]	Time 0.784 (0.755)	Data 0.001 (0.004)	Loss 1.8211 (1.8133)	Prec@1 54.688 (52.425)	Prec@5 79.688 (81.806)
Epoch: [77][1680/14090]	Time 0.742 (0.755)	Data 0.001 (0.004)	Loss 2.1013 (1.8135)	Prec@1 48.438 (52.420)	Prec@5 73.438 (81.801)
Epoch: [77][1690/14090]	Time 0.739 (0.755)	Data 0.001 (0.004)	Loss 1.6419 (1.8137)	Prec@1 57.031 (52.414)	Prec@5 82.031 (81.790)
Epoch: [77][1700/14090]	Time 0.760 (0.755)	Data 0.001 (0.004)	Loss 1.7978 (1.8139)	Prec@1 53.906 (52.412)	Prec@5 81.250 (81.792)
Epoch: [77][1710/14090]	Time 0.759 (0.755)	Data 0.001 (0.004)	Loss 1.9196 (1.8138)	Prec@1 52.344 (52.414)	Prec@5 78.906 (81.795)
Epoch: [77][1720/14090]	Time 0.747 (0.755)	Data 0.001 (0.004)	Loss 1.7652 (1.8137)	Prec@1 53.906 (52.420)	Prec@5 80.469 (81.793)
Epoch: [77][1730/14090]	Time 0.739 (0.755)	Data 0.001 (0.004)	Loss 1.7434 (1.8140)	Prec@1 50.000 (52.409)	Prec@5 82.812 (81.788)
Epoch: [77][1740/14090]	Time 0.738 (0.755)	Data 0.001 (0.004)	Loss 1.7925 (1.8137)	Prec@1 50.000 (52.415)	Prec@5 83.594 (81.798)
Epoch: [77][1750/14090]	Time 0.736 (0.755)	Data 0.001 (0.003)	Loss 2.0366 (1.8135)	Prec@1 42.969 (52.414)	Prec@5 77.344 (81.805)
Epoch: [77][1760/14090]	Time 0.747 (0.755)	Data 0.001 (0.003)	Loss 1.7718 (1.8136)	Prec@1 53.906 (52.422)	Prec@5 78.125 (81.804)
Epoch: [77][1770/14090]	Time 0.732 (0.755)	Data 0.001 (0.003)	Loss 1.8905 (1.8139)	Prec@1 50.781 (52.421)	Prec@5 78.125 (81.793)
Epoch: [77][1780/14090]	Time 0.743 (0.755)	Data 0.001 (0.003)	Loss 1.7745 (1.8140)	Prec@1 54.688 (52.416)	Prec@5 85.938 (81.797)
Epoch: [77][1790/14090]	Time 0.772 (0.755)	Data 0.001 (0.003)	Loss 1.6640 (1.8142)	Prec@1 52.344 (52.418)	Prec@5 83.594 (81.788)
Epoch: [77][1800/14090]	Time 0.738 (0.755)	Data 0.001 (0.003)	Loss 1.8829 (1.8145)	Prec@1 49.219 (52.412)	Prec@5 82.812 (81.784)
Epoch: [77][1810/14090]	Time 0.744 (0.755)	Data 0.001 (0.003)	Loss 2.0242 (1.8144)	Prec@1 51.562 (52.427)	Prec@5 77.344 (81.780)
Epoch: [77][1820/14090]	Time 0.739 (0.755)	Data 0.001 (0.003)	Loss 1.6948 (1.8143)	Prec@1 49.219 (52.435)	Prec@5 84.375 (81.780)
Epoch: [77][1830/14090]	Time 0.797 (0.755)	Data 0.001 (0.003)	Loss 1.7504 (1.8141)	Prec@1 52.344 (52.441)	Prec@5 82.031 (81.790)
Epoch: [77][1840/14090]	Time 0.784 (0.755)	Data 0.001 (0.003)	Loss 1.9346 (1.8142)	Prec@1 48.438 (52.437)	Prec@5 81.250 (81.792)
Epoch: [77][1850/14090]	Time 0.729 (0.755)	Data 0.001 (0.003)	Loss 1.7845 (1.8142)	Prec@1 50.000 (52.437)	Prec@5 80.469 (81.788)
Epoch: [77][1860/14090]	Time 0.761 (0.755)	Data 0.001 (0.003)	Loss 1.8459 (1.8140)	Prec@1 49.219 (52.445)	Prec@5 80.469 (81.791)
Epoch: [77][1870/14090]	Time 0.751 (0.755)	Data 0.001 (0.003)	Loss 1.8268 (1.8139)	Prec@1 48.438 (52.448)	Prec@5 83.594 (81.793)
Epoch: [77][1880/14090]	Time 0.728 (0.755)	Data 0.001 (0.003)	Loss 1.6979 (1.8138)	Prec@1 55.469 (52.451)	Prec@5 85.156 (81.793)
Epoch: [77][1890/14090]	Time 0.779 (0.755)	Data 0.001 (0.003)	Loss 1.7072 (1.8137)	Prec@1 57.031 (52.455)	Prec@5 81.250 (81.796)
Epoch: [77][1900/14090]	Time 0.754 (0.755)	Data 0.001 (0.003)	Loss 1.7030 (1.8134)	Prec@1 57.031 (52.458)	Prec@5 85.938 (81.801)
Epoch: [77][1910/14090]	Time 0.763 (0.755)	Data 0.001 (0.003)	Loss 1.7242 (1.8131)	Prec@1 53.906 (52.475)	Prec@5 83.594 (81.808)
Epoch: [77][1920/14090]	Time 0.754 (0.755)	Data 0.001 (0.003)	Loss 2.0212 (1.8129)	Prec@1 43.750 (52.472)	Prec@5 81.250 (81.817)
Epoch: [77][1930/14090]	Time 0.739 (0.755)	Data 0.001 (0.003)	Loss 1.6339 (1.8129)	Prec@1 50.781 (52.474)	Prec@5 88.281 (81.818)
Epoch: [77][1940/14090]	Time 0.790 (0.755)	Data 0.001 (0.003)	Loss 2.0545 (1.8129)	Prec@1 46.875 (52.474)	Prec@5 77.344 (81.824)
Epoch: [77][1950/14090]	Time 0.764 (0.755)	Data 0.001 (0.003)	Loss 1.5765 (1.8129)	Prec@1 59.375 (52.478)	Prec@5 85.938 (81.826)
Epoch: [77][1960/14090]	Time 0.731 (0.755)	Data 0.001 (0.003)	Loss 1.8563 (1.8129)	Prec@1 52.344 (52.482)	Prec@5 82.812 (81.827)
Epoch: [77][1970/14090]	Time 0.732 (0.755)	Data 0.001 (0.003)	Loss 1.7157 (1.8128)	Prec@1 56.250 (52.482)	Prec@5 83.594 (81.831)
Epoch: [77][1980/14090]	Time 0.758 (0.755)	Data 0.001 (0.003)	Loss 1.6308 (1.8125)	Prec@1 56.250 (52.486)	Prec@5 86.719 (81.836)
Epoch: [77][1990/14090]	Time 0.733 (0.755)	Data 0.001 (0.003)	Loss 1.7618 (1.8124)	Prec@1 56.250 (52.486)	Prec@5 78.906 (81.830)
Epoch: [77][2000/14090]	Time 0.735 (0.755)	Data 0.001 (0.003)	Loss 1.8245 (1.8123)	Prec@1 50.781 (52.487)	Prec@5 81.250 (81.834)
Epoch: [77][2010/14090]	Time 0.741 (0.755)	Data 0.001 (0.003)	Loss 1.8546 (1.8119)	Prec@1 53.125 (52.494)	Prec@5 81.250 (81.845)
Epoch: [77][2020/14090]	Time 0.754 (0.755)	Data 0.001 (0.003)	Loss 1.8605 (1.8118)	Prec@1 48.438 (52.493)	Prec@5 79.688 (81.846)
Epoch: [77][2030/14090]	Time 0.748 (0.755)	Data 0.001 (0.003)	Loss 1.8799 (1.8117)	Prec@1 51.562 (52.495)	Prec@5 79.688 (81.844)
Epoch: [77][2040/14090]	Time 0.756 (0.755)	Data 0.001 (0.003)	Loss 1.4972 (1.8116)	Prec@1 60.156 (52.498)	Prec@5 85.938 (81.841)
Epoch: [77][2050/14090]	Time 0.752 (0.755)	Data 0.001 (0.003)	Loss 1.7996 (1.8117)	Prec@1 50.000 (52.498)	Prec@5 84.375 (81.839)
Epoch: [77][2060/14090]	Time 0.785 (0.755)	Data 0.001 (0.003)	Loss 1.6670 (1.8118)	Prec@1 52.344 (52.489)	Prec@5 84.375 (81.840)
Epoch: [77][2070/14090]	Time 0.776 (0.755)	Data 0.001 (0.003)	Loss 1.5884 (1.8119)	Prec@1 54.688 (52.484)	Prec@5 87.500 (81.841)
Epoch: [77][2080/14090]	Time 0.779 (0.755)	Data 0.001 (0.003)	Loss 1.7826 (1.8118)	Prec@1 53.906 (52.482)	Prec@5 83.594 (81.841)
Epoch: [77][2090/14090]	Time 0.744 (0.755)	Data 0.001 (0.003)	Loss 1.6206 (1.8118)	Prec@1 53.125 (52.481)	Prec@5 86.719 (81.839)
Epoch: [77][2100/14090]	Time 0.757 (0.755)	Data 0.001 (0.003)	Loss 2.1617 (1.8118)	Prec@1 45.312 (52.482)	Prec@5 73.438 (81.838)
Epoch: [77][2110/14090]	Time 0.741 (0.755)	Data 0.001 (0.003)	Loss 1.9126 (1.8118)	Prec@1 50.000 (52.491)	Prec@5 78.125 (81.833)
Epoch: [77][2120/14090]	Time 0.762 (0.755)	Data 0.001 (0.003)	Loss 1.5768 (1.8118)	Prec@1 59.375 (52.494)	Prec@5 86.719 (81.833)
Epoch: [77][2130/14090]	Time 0.730 (0.755)	Data 0.001 (0.003)	Loss 1.7554 (1.8116)	Prec@1 47.656 (52.495)	Prec@5 84.375 (81.839)
Epoch: [77][2140/14090]	Time 0.744 (0.755)	Data 0.001 (0.003)	Loss 1.5936 (1.8114)	Prec@1 58.594 (52.496)	Prec@5 85.938 (81.846)
Epoch: [77][2150/14090]	Time 0.775 (0.755)	Data 0.001 (0.003)	Loss 1.9797 (1.8116)	Prec@1 45.312 (52.484)	Prec@5 80.469 (81.844)
Epoch: [77][2160/14090]	Time 0.753 (0.755)	Data 0.001 (0.003)	Loss 2.0580 (1.8115)	Prec@1 50.781 (52.492)	Prec@5 75.000 (81.841)
Epoch: [77][2170/14090]	Time 0.775 (0.755)	Data 0.001 (0.003)	Loss 1.7744 (1.8115)	Prec@1 53.125 (52.493)	Prec@5 79.688 (81.839)
Epoch: [77][2180/14090]	Time 0.745 (0.755)	Data 0.001 (0.003)	Loss 1.6311 (1.8115)	Prec@1 53.906 (52.490)	Prec@5 84.375 (81.840)
Epoch: [77][2190/14090]	Time 0.766 (0.755)	Data 0.001 (0.003)	Loss 1.3138 (1.8113)	Prec@1 66.406 (52.496)	Prec@5 88.281 (81.837)
Epoch: [77][2200/14090]	Time 0.733 (0.755)	Data 0.001 (0.003)	Loss 1.6999 (1.8111)	Prec@1 51.562 (52.500)	Prec@5 82.812 (81.837)
Epoch: [77][2210/14090]	Time 0.750 (0.755)	Data 0.001 (0.003)	Loss 1.9378 (1.8109)	Prec@1 51.562 (52.513)	Prec@5 79.688 (81.838)
Epoch: [77][2220/14090]	Time 0.739 (0.755)	Data 0.001 (0.003)	Loss 1.7446 (1.8110)	Prec@1 53.906 (52.504)	Prec@5 82.812 (81.835)
Epoch: [77][2230/14090]	Time 0.727 (0.755)	Data 0.001 (0.003)	Loss 1.8073 (1.8112)	Prec@1 53.125 (52.500)	Prec@5 81.250 (81.835)
Epoch: [77][2240/14090]	Time 0.767 (0.755)	Data 0.001 (0.003)	Loss 2.0741 (1.8117)	Prec@1 50.781 (52.494)	Prec@5 75.781 (81.830)
Epoch: [77][2250/14090]	Time 0.767 (0.754)	Data 0.001 (0.003)	Loss 1.9585 (1.8118)	Prec@1 55.469 (52.496)	Prec@5 73.438 (81.824)
Epoch: [77][2260/14090]	Time 0.744 (0.754)	Data 0.001 (0.003)	Loss 2.0251 (1.8121)	Prec@1 43.750 (52.486)	Prec@5 79.688 (81.825)
Epoch: [77][2270/14090]	Time 0.740 (0.754)	Data 0.001 (0.003)	Loss 1.8721 (1.8119)	Prec@1 52.344 (52.489)	Prec@5 76.562 (81.825)
Epoch: [77][2280/14090]	Time 0.764 (0.754)	Data 0.001 (0.003)	Loss 2.1226 (1.8119)	Prec@1 50.000 (52.492)	Prec@5 77.344 (81.826)
Epoch: [77][2290/14090]	Time 0.758 (0.754)	Data 0.001 (0.003)	Loss 1.7735 (1.8118)	Prec@1 53.125 (52.495)	Prec@5 84.375 (81.827)
Epoch: [77][2300/14090]	Time 0.743 (0.755)	Data 0.001 (0.003)	Loss 1.8694 (1.8121)	Prec@1 53.906 (52.491)	Prec@5 81.250 (81.820)
Epoch: [77][2310/14090]	Time 0.748 (0.754)	Data 0.001 (0.003)	Loss 1.3721 (1.8120)	Prec@1 66.406 (52.504)	Prec@5 89.844 (81.823)
Epoch: [77][2320/14090]	Time 0.780 (0.755)	Data 0.001 (0.003)	Loss 1.7160 (1.8119)	Prec@1 53.906 (52.504)	Prec@5 84.375 (81.822)
Epoch: [77][2330/14090]	Time 0.735 (0.754)	Data 0.001 (0.003)	Loss 1.6967 (1.8118)	Prec@1 50.781 (52.501)	Prec@5 85.156 (81.826)
Epoch: [77][2340/14090]	Time 0.746 (0.755)	Data 0.001 (0.003)	Loss 2.2224 (1.8120)	Prec@1 40.625 (52.501)	Prec@5 78.125 (81.822)
Epoch: [77][2350/14090]	Time 0.775 (0.754)	Data 0.001 (0.003)	Loss 1.8872 (1.8119)	Prec@1 51.562 (52.505)	Prec@5 78.906 (81.822)
Epoch: [77][2360/14090]	Time 0.735 (0.755)	Data 0.001 (0.003)	Loss 1.7959 (1.8119)	Prec@1 50.781 (52.507)	Prec@5 79.688 (81.820)
Epoch: [77][2370/14090]	Time 0.754 (0.755)	Data 0.001 (0.003)	Loss 1.8907 (1.8118)	Prec@1 52.344 (52.516)	Prec@5 82.031 (81.819)
Epoch: [77][2380/14090]	Time 0.750 (0.755)	Data 0.001 (0.003)	Loss 1.7011 (1.8117)	Prec@1 57.031 (52.527)	Prec@5 79.688 (81.816)
Epoch: [77][2390/14090]	Time 0.755 (0.755)	Data 0.001 (0.003)	Loss 1.5527 (1.8117)	Prec@1 64.062 (52.523)	Prec@5 87.500 (81.814)
Epoch: [77][2400/14090]	Time 0.759 (0.755)	Data 0.001 (0.003)	Loss 1.6963 (1.8119)	Prec@1 53.125 (52.515)	Prec@5 88.281 (81.812)
Epoch: [77][2410/14090]	Time 0.761 (0.755)	Data 0.001 (0.003)	Loss 1.6010 (1.8119)	Prec@1 59.375 (52.515)	Prec@5 86.719 (81.811)
Epoch: [77][2420/14090]	Time 0.769 (0.755)	Data 0.001 (0.003)	Loss 2.0112 (1.8121)	Prec@1 52.344 (52.509)	Prec@5 77.344 (81.805)
Epoch: [77][2430/14090]	Time 0.760 (0.755)	Data 0.001 (0.003)	Loss 1.8661 (1.8121)	Prec@1 53.906 (52.514)	Prec@5 82.812 (81.812)
Epoch: [77][2440/14090]	Time 0.768 (0.755)	Data 0.001 (0.003)	Loss 2.0589 (1.8120)	Prec@1 47.656 (52.519)	Prec@5 78.906 (81.814)
Epoch: [77][2450/14090]	Time 0.769 (0.755)	Data 0.001 (0.003)	Loss 1.7945 (1.8122)	Prec@1 54.688 (52.513)	Prec@5 81.250 (81.813)
Epoch: [77][2460/14090]	Time 0.756 (0.755)	Data 0.001 (0.003)	Loss 1.8530 (1.8120)	Prec@1 49.219 (52.515)	Prec@5 85.156 (81.818)
Epoch: [77][2470/14090]	Time 0.733 (0.754)	Data 0.001 (0.003)	Loss 1.7627 (1.8122)	Prec@1 60.938 (52.511)	Prec@5 84.375 (81.810)
Epoch: [77][2480/14090]	Time 0.772 (0.754)	Data 0.001 (0.003)	Loss 1.9325 (1.8122)	Prec@1 50.781 (52.512)	Prec@5 85.156 (81.813)
Epoch: [77][2490/14090]	Time 0.756 (0.754)	Data 0.001 (0.003)	Loss 1.9695 (1.8124)	Prec@1 50.000 (52.510)	Prec@5 78.125 (81.810)
Epoch: [77][2500/14090]	Time 0.741 (0.754)	Data 0.001 (0.003)	Loss 1.7664 (1.8125)	Prec@1 54.688 (52.512)	Prec@5 82.812 (81.808)
Epoch: [77][2510/14090]	Time 0.772 (0.754)	Data 0.001 (0.003)	Loss 1.8812 (1.8124)	Prec@1 50.781 (52.516)	Prec@5 83.594 (81.809)
Epoch: [77][2520/14090]	Time 0.741 (0.754)	Data 0.001 (0.003)	Loss 2.0735 (1.8124)	Prec@1 44.531 (52.507)	Prec@5 78.125 (81.814)
Epoch: [77][2530/14090]	Time 0.753 (0.754)	Data 0.001 (0.003)	Loss 2.1266 (1.8128)	Prec@1 46.875 (52.500)	Prec@5 75.000 (81.807)
Epoch: [77][2540/14090]	Time 0.771 (0.754)	Data 0.001 (0.003)	Loss 2.1380 (1.8130)	Prec@1 48.438 (52.500)	Prec@5 77.344 (81.802)
Epoch: [77][2550/14090]	Time 0.769 (0.754)	Data 0.001 (0.003)	Loss 1.8224 (1.8133)	Prec@1 53.906 (52.492)	Prec@5 78.906 (81.799)
Epoch: [77][2560/14090]	Time 0.744 (0.754)	Data 0.001 (0.003)	Loss 1.6976 (1.8133)	Prec@1 59.375 (52.494)	Prec@5 83.594 (81.798)
Epoch: [77][2570/14090]	Time 0.766 (0.754)	Data 0.001 (0.003)	Loss 1.7564 (1.8133)	Prec@1 48.438 (52.491)	Prec@5 82.812 (81.800)
Epoch: [77][2580/14090]	Time 0.736 (0.754)	Data 0.001 (0.003)	Loss 1.9132 (1.8132)	Prec@1 50.781 (52.495)	Prec@5 82.031 (81.806)
Epoch: [77][2590/14090]	Time 0.731 (0.754)	Data 0.001 (0.003)	Loss 1.6143 (1.8133)	Prec@1 55.469 (52.490)	Prec@5 86.719 (81.812)
Epoch: [77][2600/14090]	Time 0.723 (0.754)	Data 0.001 (0.003)	Loss 2.0274 (1.8132)	Prec@1 48.438 (52.498)	Prec@5 76.562 (81.812)
Epoch: [77][2610/14090]	Time 0.735 (0.754)	Data 0.001 (0.003)	Loss 1.6808 (1.8130)	Prec@1 53.906 (52.500)	Prec@5 84.375 (81.814)
Epoch: [77][2620/14090]	Time 0.756 (0.754)	Data 0.002 (0.003)	Loss 2.0397 (1.8129)	Prec@1 49.219 (52.504)	Prec@5 78.906 (81.814)
Epoch: [77][2630/14090]	Time 0.758 (0.754)	Data 0.001 (0.003)	Loss 2.0023 (1.8130)	Prec@1 40.625 (52.500)	Prec@5 79.688 (81.811)
Epoch: [77][2640/14090]	Time 0.752 (0.754)	Data 0.001 (0.003)	Loss 1.7022 (1.8126)	Prec@1 57.812 (52.511)	Prec@5 84.375 (81.819)
Epoch: [77][2650/14090]	Time 0.737 (0.754)	Data 0.001 (0.003)	Loss 1.9432 (1.8126)	Prec@1 45.312 (52.513)	Prec@5 78.125 (81.817)
Epoch: [77][2660/14090]	Time 0.764 (0.754)	Data 0.001 (0.003)	Loss 1.9821 (1.8126)	Prec@1 44.531 (52.514)	Prec@5 76.562 (81.817)
Epoch: [77][2670/14090]	Time 0.780 (0.754)	Data 0.001 (0.003)	Loss 1.7099 (1.8126)	Prec@1 57.031 (52.514)	Prec@5 83.594 (81.821)
Epoch: [77][2680/14090]	Time 0.738 (0.754)	Data 0.001 (0.003)	Loss 1.8352 (1.8127)	Prec@1 53.125 (52.510)	Prec@5 82.812 (81.818)
Epoch: [77][2690/14090]	Time 0.761 (0.754)	Data 0.001 (0.003)	Loss 1.9957 (1.8124)	Prec@1 50.781 (52.518)	Prec@5 77.344 (81.822)
Epoch: [77][2700/14090]	Time 0.760 (0.754)	Data 0.001 (0.003)	Loss 1.5083 (1.8124)	Prec@1 60.938 (52.522)	Prec@5 86.719 (81.825)
Epoch: [77][2710/14090]	Time 0.725 (0.754)	Data 0.001 (0.003)	Loss 1.6666 (1.8125)	Prec@1 56.250 (52.516)	Prec@5 81.250 (81.823)
Epoch: [77][2720/14090]	Time 0.741 (0.754)	Data 0.001 (0.003)	Loss 1.6932 (1.8126)	Prec@1 54.688 (52.517)	Prec@5 83.594 (81.819)
Epoch: [77][2730/14090]	Time 0.776 (0.754)	Data 0.001 (0.003)	Loss 1.9128 (1.8124)	Prec@1 53.906 (52.522)	Prec@5 80.469 (81.825)
Epoch: [77][2740/14090]	Time 0.726 (0.754)	Data 0.001 (0.003)	Loss 1.9579 (1.8122)	Prec@1 49.219 (52.524)	Prec@5 76.562 (81.831)
Epoch: [77][2750/14090]	Time 0.735 (0.754)	Data 0.001 (0.003)	Loss 1.8638 (1.8122)	Prec@1 51.562 (52.519)	Prec@5 82.812 (81.831)
Epoch: [77][2760/14090]	Time 0.748 (0.754)	Data 0.001 (0.003)	Loss 1.6703 (1.8122)	Prec@1 51.562 (52.520)	Prec@5 85.938 (81.831)
Epoch: [77][2770/14090]	Time 0.756 (0.754)	Data 0.001 (0.003)	Loss 1.5623 (1.8123)	Prec@1 58.594 (52.512)	Prec@5 87.500 (81.829)
Epoch: [77][2780/14090]	Time 0.746 (0.754)	Data 0.001 (0.003)	Loss 1.7857 (1.8127)	Prec@1 50.000 (52.501)	Prec@5 83.594 (81.826)
Epoch: [77][2790/14090]	Time 0.770 (0.754)	Data 0.001 (0.003)	Loss 1.8406 (1.8126)	Prec@1 45.312 (52.501)	Prec@5 85.156 (81.833)
Epoch: [77][2800/14090]	Time 0.765 (0.754)	Data 0.001 (0.002)	Loss 1.9775 (1.8126)	Prec@1 54.688 (52.508)	Prec@5 77.344 (81.834)
Epoch: [77][2810/14090]	Time 0.722 (0.754)	Data 0.001 (0.002)	Loss 1.6430 (1.8127)	Prec@1 58.594 (52.504)	Prec@5 82.031 (81.834)
Epoch: [77][2820/14090]	Time 0.769 (0.754)	Data 0.001 (0.002)	Loss 1.7619 (1.8128)	Prec@1 60.156 (52.503)	Prec@5 80.469 (81.829)
Epoch: [77][2830/14090]	Time 0.740 (0.754)	Data 0.001 (0.002)	Loss 1.6837 (1.8128)	Prec@1 55.469 (52.507)	Prec@5 82.812 (81.828)
Epoch: [77][2840/14090]	Time 0.765 (0.754)	Data 0.001 (0.002)	Loss 1.8555 (1.8125)	Prec@1 50.000 (52.513)	Prec@5 80.469 (81.835)
Epoch: [77][2850/14090]	Time 0.725 (0.754)	Data 0.001 (0.002)	Loss 1.6912 (1.8122)	Prec@1 53.125 (52.519)	Prec@5 87.500 (81.839)
Epoch: [77][2860/14090]	Time 0.752 (0.754)	Data 0.001 (0.002)	Loss 1.4533 (1.8120)	Prec@1 57.812 (52.525)	Prec@5 87.500 (81.841)
Epoch: [77][2870/14090]	Time 0.770 (0.754)	Data 0.001 (0.002)	Loss 1.7359 (1.8118)	Prec@1 52.344 (52.527)	Prec@5 82.812 (81.843)
Epoch: [77][2880/14090]	Time 0.789 (0.754)	Data 0.001 (0.002)	Loss 2.0165 (1.8120)	Prec@1 49.219 (52.524)	Prec@5 81.250 (81.838)
Epoch: [77][2890/14090]	Time 0.741 (0.754)	Data 0.001 (0.002)	Loss 2.0018 (1.8119)	Prec@1 50.000 (52.526)	Prec@5 78.125 (81.837)
Epoch: [77][2900/14090]	Time 0.763 (0.754)	Data 0.001 (0.002)	Loss 1.8824 (1.8115)	Prec@1 49.219 (52.527)	Prec@5 82.812 (81.844)
Epoch: [77][2910/14090]	Time 0.778 (0.754)	Data 0.001 (0.002)	Loss 1.5855 (1.8115)	Prec@1 60.938 (52.528)	Prec@5 83.594 (81.845)
Epoch: [77][2920/14090]	Time 0.783 (0.754)	Data 0.001 (0.002)	Loss 2.0999 (1.8117)	Prec@1 42.969 (52.519)	Prec@5 76.562 (81.842)
Epoch: [77][2930/14090]	Time 0.751 (0.754)	Data 0.001 (0.002)	Loss 1.7515 (1.8117)	Prec@1 53.125 (52.518)	Prec@5 80.469 (81.842)
Epoch: [77][2940/14090]	Time 0.750 (0.754)	Data 0.001 (0.002)	Loss 1.9211 (1.8120)	Prec@1 46.875 (52.509)	Prec@5 83.594 (81.839)
Epoch: [77][2950/14090]	Time 0.736 (0.754)	Data 0.001 (0.002)	Loss 1.8350 (1.8120)	Prec@1 52.344 (52.503)	Prec@5 84.375 (81.840)
Epoch: [77][2960/14090]	Time 0.739 (0.754)	Data 0.001 (0.002)	Loss 1.8771 (1.8121)	Prec@1 50.781 (52.500)	Prec@5 82.031 (81.844)
Epoch: [77][2970/14090]	Time 0.749 (0.754)	Data 0.001 (0.002)	Loss 1.8567 (1.8120)	Prec@1 55.469 (52.504)	Prec@5 82.812 (81.846)
Epoch: [77][2980/14090]	Time 0.738 (0.754)	Data 0.001 (0.002)	Loss 1.7610 (1.8120)	Prec@1 49.219 (52.506)	Prec@5 85.938 (81.846)
Epoch: [77][2990/14090]	Time 0.745 (0.754)	Data 0.001 (0.002)	Loss 2.0687 (1.8122)	Prec@1 45.312 (52.503)	Prec@5 77.344 (81.844)
Epoch: [77][3000/14090]	Time 0.739 (0.754)	Data 0.001 (0.002)	Loss 1.8861 (1.8120)	Prec@1 48.438 (52.506)	Prec@5 78.906 (81.846)
Epoch: [77][3010/14090]	Time 0.762 (0.754)	Data 0.001 (0.002)	Loss 1.7432 (1.8118)	Prec@1 47.656 (52.505)	Prec@5 82.812 (81.851)
Epoch: [77][3020/14090]	Time 0.751 (0.754)	Data 0.001 (0.002)	Loss 2.1235 (1.8118)	Prec@1 49.219 (52.513)	Prec@5 76.562 (81.854)
Epoch: [77][3030/14090]	Time 0.779 (0.754)	Data 0.001 (0.002)	Loss 1.6409 (1.8119)	Prec@1 56.250 (52.511)	Prec@5 83.594 (81.850)
Epoch: [77][3040/14090]	Time 0.750 (0.754)	Data 0.001 (0.002)	Loss 1.7322 (1.8117)	Prec@1 52.344 (52.515)	Prec@5 83.594 (81.847)
Epoch: [77][3050/14090]	Time 0.750 (0.754)	Data 0.001 (0.002)	Loss 1.8939 (1.8117)	Prec@1 49.219 (52.520)	Prec@5 81.250 (81.844)
Epoch: [77][3060/14090]	Time 0.745 (0.754)	Data 0.001 (0.002)	Loss 1.7659 (1.8115)	Prec@1 53.125 (52.518)	Prec@5 82.812 (81.848)
Epoch: [77][3070/14090]	Time 0.749 (0.754)	Data 0.001 (0.002)	Loss 1.8301 (1.8117)	Prec@1 50.781 (52.513)	Prec@5 83.594 (81.847)
Epoch: [77][3080/14090]	Time 0.746 (0.754)	Data 0.001 (0.002)	Loss 1.6847 (1.8114)	Prec@1 51.562 (52.514)	Prec@5 82.031 (81.852)
Epoch: [77][3090/14090]	Time 0.726 (0.754)	Data 0.001 (0.002)	Loss 1.9414 (1.8117)	Prec@1 52.344 (52.511)	Prec@5 78.906 (81.851)
Epoch: [77][3100/14090]	Time 0.755 (0.754)	Data 0.001 (0.002)	Loss 1.7267 (1.8115)	Prec@1 54.688 (52.518)	Prec@5 82.031 (81.857)
Epoch: [77][3110/14090]	Time 0.737 (0.754)	Data 0.001 (0.002)	Loss 2.0936 (1.8115)	Prec@1 50.000 (52.516)	Prec@5 75.781 (81.856)
Epoch: [77][3120/14090]	Time 0.734 (0.754)	Data 0.001 (0.002)	Loss 1.8640 (1.8116)	Prec@1 53.125 (52.511)	Prec@5 77.344 (81.850)
Epoch: [77][3130/14090]	Time 0.770 (0.754)	Data 0.001 (0.002)	Loss 1.8339 (1.8117)	Prec@1 49.219 (52.511)	Prec@5 82.031 (81.849)
Epoch: [77][3140/14090]	Time 0.753 (0.754)	Data 0.001 (0.002)	Loss 1.6190 (1.8115)	Prec@1 53.125 (52.517)	Prec@5 85.938 (81.851)
Epoch: [77][3150/14090]	Time 0.753 (0.754)	Data 0.001 (0.002)	Loss 1.5397 (1.8111)	Prec@1 60.938 (52.528)	Prec@5 89.062 (81.859)
Epoch: [77][3160/14090]	Time 0.732 (0.754)	Data 0.001 (0.002)	Loss 1.9264 (1.8113)	Prec@1 52.344 (52.527)	Prec@5 78.906 (81.854)
Epoch: [77][3170/14090]	Time 0.728 (0.754)	Data 0.001 (0.002)	Loss 1.5335 (1.8114)	Prec@1 59.375 (52.525)	Prec@5 87.500 (81.849)
Epoch: [77][3180/14090]	Time 0.753 (0.754)	Data 0.001 (0.002)	Loss 1.7252 (1.8113)	Prec@1 51.562 (52.521)	Prec@5 85.938 (81.852)
Epoch: [77][3190/14090]	Time 0.770 (0.754)	Data 0.001 (0.002)	Loss 1.8387 (1.8112)	Prec@1 56.250 (52.521)	Prec@5 79.688 (81.854)
Epoch: [77][3200/14090]	Time 0.732 (0.754)	Data 0.001 (0.002)	Loss 1.9792 (1.8115)	Prec@1 50.781 (52.515)	Prec@5 75.000 (81.851)
Epoch: [77][3210/14090]	Time 0.734 (0.754)	Data 0.001 (0.002)	Loss 2.1278 (1.8113)	Prec@1 50.000 (52.519)	Prec@5 74.219 (81.856)
Epoch: [77][3220/14090]	Time 0.742 (0.754)	Data 0.001 (0.002)	Loss 1.7841 (1.8116)	Prec@1 60.938 (52.517)	Prec@5 80.469 (81.852)
Epoch: [77][3230/14090]	Time 0.756 (0.754)	Data 0.001 (0.002)	Loss 1.6556 (1.8115)	Prec@1 56.250 (52.523)	Prec@5 85.156 (81.849)
Epoch: [77][3240/14090]	Time 0.750 (0.754)	Data 0.001 (0.002)	Loss 1.7856 (1.8116)	Prec@1 53.125 (52.516)	Prec@5 82.031 (81.849)
Epoch: [77][3250/14090]	Time 0.755 (0.754)	Data 0.001 (0.002)	Loss 1.7713 (1.8116)	Prec@1 56.250 (52.511)	Prec@5 79.688 (81.844)
Epoch: [77][3260/14090]	Time 0.731 (0.754)	Data 0.001 (0.002)	Loss 1.8783 (1.8119)	Prec@1 50.000 (52.503)	Prec@5 82.031 (81.840)
Epoch: [77][3270/14090]	Time 0.733 (0.754)	Data 0.001 (0.002)	Loss 2.0453 (1.8118)	Prec@1 49.219 (52.507)	Prec@5 73.438 (81.837)
Epoch: [77][3280/14090]	Time 0.764 (0.754)	Data 0.001 (0.002)	Loss 1.8441 (1.8118)	Prec@1 52.344 (52.506)	Prec@5 83.594 (81.840)
Epoch: [77][3290/14090]	Time 0.734 (0.754)	Data 0.001 (0.002)	Loss 1.6860 (1.8117)	Prec@1 53.906 (52.511)	Prec@5 81.250 (81.844)
Epoch: [77][3300/14090]	Time 0.795 (0.754)	Data 0.001 (0.002)	Loss 1.8121 (1.8116)	Prec@1 51.562 (52.510)	Prec@5 84.375 (81.848)
Epoch: [77][3310/14090]	Time 0.721 (0.754)	Data 0.001 (0.002)	Loss 1.6145 (1.8116)	Prec@1 53.125 (52.511)	Prec@5 87.500 (81.849)
Epoch: [77][3320/14090]	Time 0.777 (0.754)	Data 0.001 (0.002)	Loss 1.5545 (1.8117)	Prec@1 56.250 (52.509)	Prec@5 89.062 (81.847)
Epoch: [77][3330/14090]	Time 0.753 (0.754)	Data 0.001 (0.002)	Loss 1.6881 (1.8118)	Prec@1 53.125 (52.508)	Prec@5 85.156 (81.847)
Epoch: [77][3340/14090]	Time 0.762 (0.754)	Data 0.001 (0.002)	Loss 2.1416 (1.8117)	Prec@1 45.312 (52.512)	Prec@5 78.906 (81.849)
Epoch: [77][3350/14090]	Time 0.729 (0.754)	Data 0.001 (0.002)	Loss 1.7519 (1.8115)	Prec@1 51.562 (52.517)	Prec@5 85.156 (81.855)
Epoch: [77][3360/14090]	Time 0.741 (0.754)	Data 0.001 (0.002)	Loss 2.0016 (1.8117)	Prec@1 42.188 (52.505)	Prec@5 77.344 (81.854)
Epoch: [77][3370/14090]	Time 0.778 (0.754)	Data 0.001 (0.002)	Loss 1.7309 (1.8117)	Prec@1 52.344 (52.505)	Prec@5 81.250 (81.852)
Epoch: [77][3380/14090]	Time 0.754 (0.754)	Data 0.001 (0.002)	Loss 2.0153 (1.8117)	Prec@1 46.094 (52.506)	Prec@5 78.906 (81.853)
Epoch: [77][3390/14090]	Time 0.732 (0.754)	Data 0.001 (0.002)	Loss 1.6582 (1.8114)	Prec@1 55.469 (52.512)	Prec@5 85.156 (81.859)
Epoch: [77][3400/14090]	Time 0.733 (0.754)	Data 0.001 (0.002)	Loss 1.5773 (1.8113)	Prec@1 57.812 (52.510)	Prec@5 85.156 (81.863)
Epoch: [77][3410/14090]	Time 0.763 (0.754)	Data 0.001 (0.002)	Loss 1.7678 (1.8112)	Prec@1 54.688 (52.518)	Prec@5 78.906 (81.864)
Epoch: [77][3420/14090]	Time 0.731 (0.754)	Data 0.001 (0.002)	Loss 1.6639 (1.8113)	Prec@1 56.250 (52.513)	Prec@5 86.719 (81.860)
Epoch: [77][3430/14090]	Time 0.740 (0.754)	Data 0.001 (0.002)	Loss 1.8300 (1.8112)	Prec@1 50.781 (52.512)	Prec@5 80.469 (81.867)
Epoch: [77][3440/14090]	Time 0.756 (0.754)	Data 0.001 (0.002)	Loss 1.7143 (1.8111)	Prec@1 50.000 (52.509)	Prec@5 86.719 (81.869)
Epoch: [77][3450/14090]	Time 0.745 (0.754)	Data 0.001 (0.002)	Loss 1.8857 (1.8110)	Prec@1 50.781 (52.510)	Prec@5 79.688 (81.871)
Epoch: [77][3460/14090]	Time 0.744 (0.754)	Data 0.002 (0.002)	Loss 1.9503 (1.8113)	Prec@1 48.438 (52.507)	Prec@5 78.125 (81.866)
Epoch: [77][3470/14090]	Time 0.772 (0.754)	Data 0.001 (0.002)	Loss 1.7914 (1.8111)	Prec@1 53.125 (52.508)	Prec@5 81.250 (81.866)
Epoch: [77][3480/14090]	Time 0.778 (0.754)	Data 0.001 (0.002)	Loss 1.6427 (1.8110)	Prec@1 53.125 (52.513)	Prec@5 85.156 (81.865)
Epoch: [77][3490/14090]	Time 0.749 (0.754)	Data 0.001 (0.002)	Loss 2.0486 (1.8111)	Prec@1 45.312 (52.513)	Prec@5 78.125 (81.864)
Epoch: [77][3500/14090]	Time 0.742 (0.754)	Data 0.001 (0.002)	Loss 1.7480 (1.8111)	Prec@1 52.344 (52.511)	Prec@5 89.844 (81.865)
Epoch: [77][3510/14090]	Time 0.771 (0.754)	Data 0.003 (0.002)	Loss 1.6781 (1.8110)	Prec@1 54.688 (52.511)	Prec@5 78.906 (81.867)
Epoch: [77][3520/14090]	Time 0.741 (0.754)	Data 0.001 (0.002)	Loss 1.5670 (1.8109)	Prec@1 60.156 (52.518)	Prec@5 84.375 (81.868)
Epoch: [77][3530/14090]	Time 0.763 (0.754)	Data 0.001 (0.002)	Loss 1.8828 (1.8110)	Prec@1 53.125 (52.513)	Prec@5 79.688 (81.868)
Epoch: [77][3540/14090]	Time 0.766 (0.754)	Data 0.002 (0.002)	Loss 1.7195 (1.8110)	Prec@1 52.344 (52.511)	Prec@5 82.812 (81.869)
Epoch: [77][3550/14090]	Time 0.738 (0.754)	Data 0.001 (0.002)	Loss 1.8065 (1.8110)	Prec@1 55.469 (52.511)	Prec@5 81.250 (81.870)
Epoch: [77][3560/14090]	Time 0.747 (0.754)	Data 0.001 (0.002)	Loss 1.9097 (1.8109)	Prec@1 50.781 (52.507)	Prec@5 80.469 (81.873)
Epoch: [77][3570/14090]	Time 0.776 (0.754)	Data 0.001 (0.002)	Loss 1.7077 (1.8108)	Prec@1 53.125 (52.508)	Prec@5 82.812 (81.875)
Epoch: [77][3580/14090]	Time 0.763 (0.754)	Data 0.001 (0.002)	Loss 1.5523 (1.8106)	Prec@1 57.031 (52.514)	Prec@5 84.375 (81.878)
Epoch: [77][3590/14090]	Time 0.737 (0.754)	Data 0.001 (0.002)	Loss 1.7758 (1.8106)	Prec@1 53.906 (52.511)	Prec@5 82.031 (81.878)
Epoch: [77][3600/14090]	Time 0.754 (0.754)	Data 0.001 (0.002)	Loss 1.9139 (1.8105)	Prec@1 52.344 (52.511)	Prec@5 79.688 (81.883)
Epoch: [77][3610/14090]	Time 0.761 (0.754)	Data 0.001 (0.002)	Loss 1.7893 (1.8105)	Prec@1 57.812 (52.517)	Prec@5 83.594 (81.885)
Epoch: [77][3620/14090]	Time 0.745 (0.754)	Data 0.001 (0.002)	Loss 1.9940 (1.8104)	Prec@1 47.656 (52.521)	Prec@5 77.344 (81.888)
Epoch: [77][3630/14090]	Time 0.759 (0.754)	Data 0.001 (0.002)	Loss 1.9088 (1.8103)	Prec@1 49.219 (52.524)	Prec@5 81.250 (81.888)
Epoch: [77][3640/14090]	Time 0.748 (0.754)	Data 0.001 (0.002)	Loss 2.0663 (1.8104)	Prec@1 45.312 (52.519)	Prec@5 76.562 (81.887)
Epoch: [77][3650/14090]	Time 0.777 (0.754)	Data 0.001 (0.002)	Loss 1.7896 (1.8104)	Prec@1 50.781 (52.521)	Prec@5 82.031 (81.885)
Epoch: [77][3660/14090]	Time 0.745 (0.754)	Data 0.001 (0.002)	Loss 2.0967 (1.8103)	Prec@1 47.656 (52.527)	Prec@5 76.562 (81.883)
Epoch: [77][3670/14090]	Time 0.759 (0.754)	Data 0.001 (0.002)	Loss 1.7175 (1.8101)	Prec@1 54.688 (52.535)	Prec@5 84.375 (81.889)
Epoch: [77][3680/14090]	Time 0.765 (0.754)	Data 0.001 (0.002)	Loss 1.8602 (1.8101)	Prec@1 50.781 (52.532)	Prec@5 79.688 (81.887)
Epoch: [77][3690/14090]	Time 0.763 (0.754)	Data 0.001 (0.002)	Loss 1.8736 (1.8102)	Prec@1 50.000 (52.529)	Prec@5 78.906 (81.884)
Epoch: [77][3700/14090]	Time 0.770 (0.754)	Data 0.001 (0.002)	Loss 1.8309 (1.8104)	Prec@1 49.219 (52.526)	Prec@5 78.906 (81.882)
Epoch: [77][3710/14090]	Time 0.733 (0.754)	Data 0.001 (0.002)	Loss 1.7098 (1.8104)	Prec@1 54.688 (52.527)	Prec@5 84.375 (81.880)
Epoch: [77][3720/14090]	Time 0.743 (0.754)	Data 0.001 (0.002)	Loss 1.8182 (1.8104)	Prec@1 48.438 (52.524)	Prec@5 85.156 (81.880)
Epoch: [77][3730/14090]	Time 0.761 (0.754)	Data 0.001 (0.002)	Loss 1.7492 (1.8103)	Prec@1 55.469 (52.532)	Prec@5 83.594 (81.881)
Epoch: [77][3740/14090]	Time 0.737 (0.754)	Data 0.001 (0.002)	Loss 1.6347 (1.8103)	Prec@1 50.781 (52.534)	Prec@5 87.500 (81.883)
Epoch: [77][3750/14090]	Time 0.733 (0.754)	Data 0.001 (0.002)	Loss 1.8218 (1.8104)	Prec@1 53.906 (52.532)	Prec@5 79.688 (81.879)
Epoch: [77][3760/14090]	Time 0.734 (0.754)	Data 0.001 (0.002)	Loss 1.7391 (1.8105)	Prec@1 53.125 (52.533)	Prec@5 82.812 (81.876)
Epoch: [77][3770/14090]	Time 0.739 (0.754)	Data 0.001 (0.002)	Loss 1.8750 (1.8104)	Prec@1 46.875 (52.532)	Prec@5 82.812 (81.878)
Epoch: [77][3780/14090]	Time 0.777 (0.754)	Data 0.001 (0.002)	Loss 1.7836 (1.8105)	Prec@1 50.000 (52.529)	Prec@5 81.250 (81.874)
Epoch: [77][3790/14090]	Time 0.756 (0.754)	Data 0.001 (0.002)	Loss 1.7543 (1.8104)	Prec@1 53.906 (52.531)	Prec@5 83.594 (81.877)
Epoch: [77][3800/14090]	Time 0.751 (0.754)	Data 0.001 (0.002)	Loss 1.7650 (1.8105)	Prec@1 49.219 (52.524)	Prec@5 82.812 (81.873)
Epoch: [77][3810/14090]	Time 0.751 (0.754)	Data 0.001 (0.002)	Loss 1.7727 (1.8104)	Prec@1 57.812 (52.526)	Prec@5 82.031 (81.876)
Epoch: [77][3820/14090]	Time 0.742 (0.754)	Data 0.001 (0.002)	Loss 1.9331 (1.8103)	Prec@1 49.219 (52.527)	Prec@5 84.375 (81.882)
Epoch: [77][3830/14090]	Time 0.733 (0.754)	Data 0.001 (0.002)	Loss 1.7298 (1.8102)	Prec@1 51.562 (52.531)	Prec@5 82.031 (81.881)
Epoch: [77][3840/14090]	Time 0.734 (0.754)	Data 0.001 (0.002)	Loss 2.1235 (1.8101)	Prec@1 38.281 (52.532)	Prec@5 80.469 (81.883)
Epoch: [77][3850/14090]	Time 0.748 (0.754)	Data 0.001 (0.002)	Loss 1.7189 (1.8101)	Prec@1 57.031 (52.534)	Prec@5 85.156 (81.884)
Epoch: [77][3860/14090]	Time 0.741 (0.754)	Data 0.001 (0.002)	Loss 1.6516 (1.8100)	Prec@1 62.500 (52.539)	Prec@5 87.500 (81.886)
Epoch: [77][3870/14090]	Time 0.736 (0.754)	Data 0.001 (0.002)	Loss 1.7965 (1.8101)	Prec@1 63.281 (52.542)	Prec@5 79.688 (81.884)
Epoch: [77][3880/14090]	Time 0.728 (0.754)	Data 0.001 (0.002)	Loss 1.9576 (1.8101)	Prec@1 47.656 (52.543)	Prec@5 78.125 (81.883)
Epoch: [77][3890/14090]	Time 0.738 (0.754)	Data 0.001 (0.002)	Loss 1.9305 (1.8100)	Prec@1 50.000 (52.541)	Prec@5 80.469 (81.884)
Epoch: [77][3900/14090]	Time 0.771 (0.754)	Data 0.001 (0.002)	Loss 1.8319 (1.8102)	Prec@1 49.219 (52.537)	Prec@5 82.031 (81.879)
Epoch: [77][3910/14090]	Time 0.781 (0.754)	Data 0.001 (0.002)	Loss 2.0020 (1.8104)	Prec@1 47.656 (52.532)	Prec@5 74.219 (81.874)
Epoch: [77][3920/14090]	Time 0.761 (0.754)	Data 0.001 (0.002)	Loss 1.7116 (1.8106)	Prec@1 51.562 (52.527)	Prec@5 83.594 (81.871)
Epoch: [77][3930/14090]	Time 0.737 (0.754)	Data 0.001 (0.002)	Loss 1.9449 (1.8105)	Prec@1 47.656 (52.530)	Prec@5 82.031 (81.873)
Epoch: [77][3940/14090]	Time 0.773 (0.754)	Data 0.001 (0.002)	Loss 1.6549 (1.8103)	Prec@1 57.812 (52.530)	Prec@5 85.938 (81.877)
Epoch: [77][3950/14090]	Time 0.759 (0.754)	Data 0.001 (0.002)	Loss 1.6255 (1.8102)	Prec@1 57.812 (52.535)	Prec@5 83.594 (81.880)
Epoch: [77][3960/14090]	Time 0.738 (0.754)	Data 0.001 (0.002)	Loss 1.7581 (1.8103)	Prec@1 54.688 (52.535)	Prec@5 84.375 (81.880)
Epoch: [77][3970/14090]	Time 0.720 (0.754)	Data 0.001 (0.002)	Loss 1.7015 (1.8103)	Prec@1 52.344 (52.529)	Prec@5 85.156 (81.883)
Epoch: [77][3980/14090]	Time 0.745 (0.754)	Data 0.001 (0.002)	Loss 1.5481 (1.8103)	Prec@1 61.719 (52.531)	Prec@5 82.812 (81.883)
Epoch: [77][3990/14090]	Time 0.739 (0.754)	Data 0.001 (0.002)	Loss 1.9375 (1.8101)	Prec@1 54.688 (52.531)	Prec@5 82.031 (81.889)
Epoch: [77][4000/14090]	Time 0.775 (0.754)	Data 0.001 (0.002)	Loss 2.0766 (1.8105)	Prec@1 46.094 (52.528)	Prec@5 77.344 (81.884)
Epoch: [77][4010/14090]	Time 0.768 (0.754)	Data 0.001 (0.002)	Loss 1.7236 (1.8104)	Prec@1 48.438 (52.530)	Prec@5 85.156 (81.885)
Epoch: [77][4020/14090]	Time 0.758 (0.754)	Data 0.001 (0.002)	Loss 2.0344 (1.8106)	Prec@1 50.000 (52.524)	Prec@5 78.906 (81.879)
Epoch: [77][4030/14090]	Time 0.767 (0.754)	Data 0.001 (0.002)	Loss 1.8235 (1.8106)	Prec@1 48.438 (52.518)	Prec@5 78.125 (81.878)
Epoch: [77][4040/14090]	Time 0.767 (0.754)	Data 0.001 (0.002)	Loss 1.6892 (1.8104)	Prec@1 56.250 (52.525)	Prec@5 85.156 (81.879)
Epoch: [77][4050/14090]	Time 0.735 (0.754)	Data 0.001 (0.002)	Loss 1.7953 (1.8105)	Prec@1 56.250 (52.523)	Prec@5 83.594 (81.878)
Epoch: [77][4060/14090]	Time 0.782 (0.754)	Data 0.001 (0.002)	Loss 1.8983 (1.8108)	Prec@1 52.344 (52.518)	Prec@5 82.031 (81.876)
Epoch: [77][4070/14090]	Time 0.736 (0.754)	Data 0.001 (0.002)	Loss 1.7933 (1.8108)	Prec@1 49.219 (52.517)	Prec@5 88.281 (81.878)
Epoch: [77][4080/14090]	Time 0.751 (0.754)	Data 0.001 (0.002)	Loss 1.8509 (1.8108)	Prec@1 49.219 (52.517)	Prec@5 83.594 (81.880)
Epoch: [77][4090/14090]	Time 0.761 (0.754)	Data 0.001 (0.002)	Loss 1.6209 (1.8108)	Prec@1 57.812 (52.516)	Prec@5 81.250 (81.879)
Epoch: [77][4100/14090]	Time 0.743 (0.754)	Data 0.001 (0.002)	Loss 1.8089 (1.8109)	Prec@1 55.469 (52.511)	Prec@5 86.719 (81.879)
Epoch: [77][4110/14090]	Time 0.752 (0.754)	Data 0.001 (0.002)	Loss 1.7825 (1.8107)	Prec@1 50.781 (52.514)	Prec@5 82.812 (81.883)
Epoch: [77][4120/14090]	Time 0.747 (0.754)	Data 0.001 (0.002)	Loss 1.6118 (1.8105)	Prec@1 58.594 (52.523)	Prec@5 85.938 (81.886)
Epoch: [77][4130/14090]	Time 0.732 (0.754)	Data 0.001 (0.002)	Loss 1.7430 (1.8105)	Prec@1 45.312 (52.524)	Prec@5 83.594 (81.884)
Epoch: [77][4140/14090]	Time 0.752 (0.754)	Data 0.001 (0.002)	Loss 1.9292 (1.8108)	Prec@1 53.125 (52.518)	Prec@5 78.906 (81.878)
Epoch: [77][4150/14090]	Time 0.751 (0.754)	Data 0.001 (0.002)	Loss 1.9597 (1.8109)	Prec@1 50.000 (52.517)	Prec@5 80.469 (81.878)
Epoch: [77][4160/14090]	Time 0.749 (0.754)	Data 0.001 (0.002)	Loss 2.0476 (1.8110)	Prec@1 46.875 (52.513)	Prec@5 78.125 (81.875)
Epoch: [77][4170/14090]	Time 0.733 (0.754)	Data 0.001 (0.002)	Loss 1.7418 (1.8111)	Prec@1 50.781 (52.504)	Prec@5 85.156 (81.872)
Epoch: [77][4180/14090]	Time 0.758 (0.754)	Data 0.001 (0.002)	Loss 1.8715 (1.8112)	Prec@1 56.250 (52.504)	Prec@5 82.031 (81.873)
Epoch: [77][4190/14090]	Time 0.725 (0.754)	Data 0.001 (0.002)	Loss 1.8317 (1.8110)	Prec@1 49.219 (52.508)	Prec@5 78.906 (81.876)
Epoch: [77][4200/14090]	Time 0.771 (0.754)	Data 0.001 (0.002)	Loss 1.8698 (1.8110)	Prec@1 50.781 (52.506)	Prec@5 75.781 (81.875)
Epoch: [77][4210/14090]	Time 0.728 (0.754)	Data 0.001 (0.002)	Loss 1.6557 (1.8109)	Prec@1 61.719 (52.507)	Prec@5 82.812 (81.878)
Epoch: [77][4220/14090]	Time 0.762 (0.754)	Data 0.001 (0.002)	Loss 2.1240 (1.8110)	Prec@1 52.344 (52.506)	Prec@5 76.562 (81.875)
Epoch: [77][4230/14090]	Time 0.763 (0.754)	Data 0.001 (0.002)	Loss 1.7070 (1.8109)	Prec@1 54.688 (52.510)	Prec@5 89.844 (81.876)
Epoch: [77][4240/14090]	Time 0.738 (0.754)	Data 0.001 (0.002)	Loss 1.8791 (1.8109)	Prec@1 54.688 (52.512)	Prec@5 85.156 (81.875)
Epoch: [77][4250/14090]	Time 0.732 (0.754)	Data 0.001 (0.002)	Loss 1.6697 (1.8108)	Prec@1 53.906 (52.513)	Prec@5 82.031 (81.876)
Epoch: [77][4260/14090]	Time 0.763 (0.754)	Data 0.001 (0.002)	Loss 1.7884 (1.8108)	Prec@1 53.906 (52.510)	Prec@5 81.250 (81.878)
Epoch: [77][4270/14090]	Time 0.756 (0.753)	Data 0.001 (0.002)	Loss 1.7156 (1.8108)	Prec@1 53.125 (52.508)	Prec@5 86.719 (81.882)
Epoch: [77][4280/14090]	Time 0.769 (0.753)	Data 0.001 (0.002)	Loss 1.7659 (1.8110)	Prec@1 54.688 (52.503)	Prec@5 82.031 (81.880)
Epoch: [77][4290/14090]	Time 0.752 (0.753)	Data 0.001 (0.002)	Loss 2.0149 (1.8109)	Prec@1 56.250 (52.504)	Prec@5 78.125 (81.883)
Epoch: [77][4300/14090]	Time 0.751 (0.753)	Data 0.001 (0.002)	Loss 1.7494 (1.8108)	Prec@1 60.938 (52.508)	Prec@5 85.156 (81.888)
Epoch: [77][4310/14090]	Time 0.747 (0.753)	Data 0.001 (0.002)	Loss 2.0109 (1.8107)	Prec@1 50.781 (52.511)	Prec@5 77.344 (81.887)
Epoch: [77][4320/14090]	Time 0.777 (0.753)	Data 0.001 (0.002)	Loss 1.6101 (1.8105)	Prec@1 57.812 (52.516)	Prec@5 82.031 (81.889)
Epoch: [77][4330/14090]	Time 0.756 (0.753)	Data 0.001 (0.002)	Loss 1.7524 (1.8104)	Prec@1 50.781 (52.513)	Prec@5 86.719 (81.892)
Epoch: [77][4340/14090]	Time 0.748 (0.753)	Data 0.001 (0.002)	Loss 1.7002 (1.8102)	Prec@1 53.125 (52.517)	Prec@5 85.938 (81.897)
Epoch: [77][4350/14090]	Time 0.747 (0.753)	Data 0.001 (0.002)	Loss 1.5736 (1.8101)	Prec@1 57.031 (52.517)	Prec@5 85.156 (81.901)
Epoch: [77][4360/14090]	Time 0.750 (0.753)	Data 0.001 (0.002)	Loss 1.7516 (1.8102)	Prec@1 54.688 (52.516)	Prec@5 81.250 (81.896)
Epoch: [77][4370/14090]	Time 0.763 (0.753)	Data 0.001 (0.002)	Loss 1.6155 (1.8101)	Prec@1 59.375 (52.520)	Prec@5 81.250 (81.898)
Epoch: [77][4380/14090]	Time 0.750 (0.753)	Data 0.001 (0.002)	Loss 2.2115 (1.8103)	Prec@1 49.219 (52.518)	Prec@5 76.562 (81.893)
Epoch: [77][4390/14090]	Time 0.736 (0.753)	Data 0.001 (0.002)	Loss 1.7955 (1.8103)	Prec@1 49.219 (52.519)	Prec@5 82.031 (81.893)
Epoch: [77][4400/14090]	Time 0.772 (0.754)	Data 0.001 (0.002)	Loss 1.5143 (1.8100)	Prec@1 57.031 (52.520)	Prec@5 86.719 (81.896)
Epoch: [77][4410/14090]	Time 0.753 (0.754)	Data 0.001 (0.002)	Loss 1.8935 (1.8101)	Prec@1 48.438 (52.519)	Prec@5 81.250 (81.896)
Epoch: [77][4420/14090]	Time 0.761 (0.754)	Data 0.001 (0.002)	Loss 1.6704 (1.8101)	Prec@1 53.906 (52.520)	Prec@5 84.375 (81.896)
Epoch: [77][4430/14090]	Time 0.779 (0.754)	Data 0.001 (0.002)	Loss 1.7198 (1.8100)	Prec@1 56.250 (52.518)	Prec@5 86.719 (81.899)
Epoch: [77][4440/14090]	Time 0.779 (0.754)	Data 0.001 (0.002)	Loss 1.7692 (1.8101)	Prec@1 57.031 (52.517)	Prec@5 84.375 (81.900)
Epoch: [77][4450/14090]	Time 0.750 (0.754)	Data 0.001 (0.002)	Loss 1.6927 (1.8101)	Prec@1 55.469 (52.518)	Prec@5 86.719 (81.900)
Epoch: [77][4460/14090]	Time 0.747 (0.754)	Data 0.001 (0.002)	Loss 1.7637 (1.8101)	Prec@1 50.781 (52.518)	Prec@5 84.375 (81.897)
Epoch: [77][4470/14090]	Time 0.760 (0.754)	Data 0.001 (0.002)	Loss 1.8162 (1.8100)	Prec@1 52.344 (52.517)	Prec@5 82.812 (81.899)
Epoch: [77][4480/14090]	Time 0.748 (0.754)	Data 0.001 (0.002)	Loss 1.8677 (1.8102)	Prec@1 50.000 (52.512)	Prec@5 78.906 (81.895)
Epoch: [77][4490/14090]	Time 0.740 (0.754)	Data 0.001 (0.002)	Loss 1.7817 (1.8102)	Prec@1 45.312 (52.510)	Prec@5 87.500 (81.893)
Epoch: [77][4500/14090]	Time 0.768 (0.754)	Data 0.001 (0.002)	Loss 1.6537 (1.8103)	Prec@1 59.375 (52.515)	Prec@5 85.156 (81.893)
Epoch: [77][4510/14090]	Time 0.765 (0.754)	Data 0.001 (0.002)	Loss 1.6981 (1.8102)	Prec@1 56.250 (52.514)	Prec@5 86.719 (81.895)
Epoch: [77][4520/14090]	Time 0.753 (0.754)	Data 0.001 (0.002)	Loss 1.8074 (1.8102)	Prec@1 48.438 (52.518)	Prec@5 82.812 (81.895)
Epoch: [77][4530/14090]	Time 0.727 (0.754)	Data 0.001 (0.002)	Loss 1.5172 (1.8101)	Prec@1 56.250 (52.519)	Prec@5 85.938 (81.897)
Epoch: [77][4540/14090]	Time 0.749 (0.754)	Data 0.001 (0.002)	Loss 1.7841 (1.8102)	Prec@1 52.344 (52.522)	Prec@5 81.250 (81.895)
Epoch: [77][4550/14090]	Time 0.760 (0.754)	Data 0.001 (0.002)	Loss 1.6286 (1.8101)	Prec@1 58.594 (52.523)	Prec@5 86.719 (81.898)
Epoch: [77][4560/14090]	Time 0.724 (0.754)	Data 0.001 (0.002)	Loss 1.9163 (1.8100)	Prec@1 51.562 (52.528)	Prec@5 80.469 (81.899)
Epoch: [77][4570/14090]	Time 0.768 (0.754)	Data 0.001 (0.002)	Loss 1.8427 (1.8101)	Prec@1 55.469 (52.524)	Prec@5 80.469 (81.896)
Epoch: [77][4580/14090]	Time 0.799 (0.754)	Data 0.001 (0.002)	Loss 1.4493 (1.8100)	Prec@1 56.250 (52.527)	Prec@5 89.062 (81.898)
Epoch: [77][4590/14090]	Time 0.746 (0.754)	Data 0.001 (0.002)	Loss 1.5511 (1.8098)	Prec@1 57.031 (52.530)	Prec@5 86.719 (81.901)
Epoch: [77][4600/14090]	Time 0.738 (0.754)	Data 0.001 (0.002)	Loss 1.7728 (1.8097)	Prec@1 56.250 (52.530)	Prec@5 82.812 (81.900)
Epoch: [77][4610/14090]	Time 0.735 (0.754)	Data 0.001 (0.002)	Loss 1.6684 (1.8099)	Prec@1 57.812 (52.528)	Prec@5 83.594 (81.897)
Epoch: [77][4620/14090]	Time 0.742 (0.754)	Data 0.001 (0.002)	Loss 1.5045 (1.8099)	Prec@1 57.812 (52.528)	Prec@5 88.281 (81.894)
Epoch: [77][4630/14090]	Time 0.722 (0.754)	Data 0.001 (0.002)	Loss 1.4539 (1.8099)	Prec@1 57.031 (52.528)	Prec@5 89.062 (81.893)
Epoch: [77][4640/14090]	Time 0.745 (0.754)	Data 0.001 (0.002)	Loss 1.5752 (1.8097)	Prec@1 62.500 (52.532)	Prec@5 82.812 (81.897)
Epoch: [77][4650/14090]	Time 0.739 (0.754)	Data 0.001 (0.002)	Loss 1.4101 (1.8098)	Prec@1 64.844 (52.529)	Prec@5 87.500 (81.897)
Epoch: [77][4660/14090]	Time 0.742 (0.754)	Data 0.001 (0.002)	Loss 2.0371 (1.8097)	Prec@1 47.656 (52.531)	Prec@5 72.656 (81.899)
Epoch: [77][4670/14090]	Time 0.744 (0.754)	Data 0.001 (0.002)	Loss 1.7206 (1.8097)	Prec@1 60.156 (52.532)	Prec@5 79.688 (81.897)
Epoch: [77][4680/14090]	Time 0.756 (0.754)	Data 0.001 (0.002)	Loss 1.7034 (1.8098)	Prec@1 53.125 (52.528)	Prec@5 85.156 (81.893)
Epoch: [77][4690/14090]	Time 0.735 (0.754)	Data 0.001 (0.002)	Loss 1.9203 (1.8099)	Prec@1 46.875 (52.527)	Prec@5 80.469 (81.891)
Epoch: [77][4700/14090]	Time 0.741 (0.754)	Data 0.001 (0.002)	Loss 1.5077 (1.8099)	Prec@1 60.156 (52.528)	Prec@5 88.281 (81.890)
Epoch: [77][4710/14090]	Time 0.750 (0.754)	Data 0.001 (0.002)	Loss 1.9131 (1.8098)	Prec@1 51.562 (52.530)	Prec@5 76.562 (81.890)
Epoch: [77][4720/14090]	Time 0.775 (0.754)	Data 0.001 (0.002)	Loss 1.8215 (1.8099)	Prec@1 51.562 (52.529)	Prec@5 80.469 (81.892)
Epoch: [77][4730/14090]	Time 0.728 (0.754)	Data 0.001 (0.002)	Loss 1.9124 (1.8099)	Prec@1 48.438 (52.528)	Prec@5 78.906 (81.892)
Epoch: [77][4740/14090]	Time 0.729 (0.754)	Data 0.001 (0.002)	Loss 1.8949 (1.8100)	Prec@1 53.125 (52.527)	Prec@5 84.375 (81.891)
Epoch: [77][4750/14090]	Time 0.744 (0.754)	Data 0.001 (0.002)	Loss 1.9160 (1.8101)	Prec@1 45.312 (52.522)	Prec@5 83.594 (81.890)
Epoch: [77][4760/14090]	Time 0.728 (0.754)	Data 0.001 (0.002)	Loss 1.9379 (1.8100)	Prec@1 43.750 (52.524)	Prec@5 80.469 (81.893)
Epoch: [77][4770/14090]	Time 0.751 (0.754)	Data 0.001 (0.002)	Loss 1.6287 (1.8100)	Prec@1 55.469 (52.525)	Prec@5 82.031 (81.892)
Epoch: [77][4780/14090]	Time 0.759 (0.754)	Data 0.001 (0.002)	Loss 1.7039 (1.8098)	Prec@1 61.719 (52.529)	Prec@5 81.250 (81.895)
Epoch: [77][4790/14090]	Time 0.777 (0.754)	Data 0.001 (0.002)	Loss 1.6449 (1.8098)	Prec@1 57.812 (52.526)	Prec@5 83.594 (81.896)
Epoch: [77][4800/14090]	Time 0.746 (0.754)	Data 0.001 (0.002)	Loss 1.9129 (1.8100)	Prec@1 50.781 (52.522)	Prec@5 85.156 (81.892)
Epoch: [77][4810/14090]	Time 0.733 (0.754)	Data 0.001 (0.002)	Loss 1.7990 (1.8099)	Prec@1 50.000 (52.522)	Prec@5 82.031 (81.893)
Epoch: [77][4820/14090]	Time 0.743 (0.754)	Data 0.001 (0.002)	Loss 1.9075 (1.8099)	Prec@1 49.219 (52.517)	Prec@5 78.906 (81.894)
Epoch: [77][4830/14090]	Time 0.725 (0.754)	Data 0.001 (0.002)	Loss 1.7774 (1.8099)	Prec@1 54.688 (52.516)	Prec@5 79.688 (81.896)
Epoch: [77][4840/14090]	Time 0.743 (0.754)	Data 0.001 (0.002)	Loss 1.8068 (1.8098)	Prec@1 54.688 (52.519)	Prec@5 83.594 (81.897)
Epoch: [77][4850/14090]	Time 0.722 (0.754)	Data 0.001 (0.002)	Loss 2.1864 (1.8099)	Prec@1 51.562 (52.519)	Prec@5 72.656 (81.893)
Epoch: [77][4860/14090]	Time 0.778 (0.754)	Data 0.001 (0.002)	Loss 1.8819 (1.8099)	Prec@1 53.906 (52.517)	Prec@5 81.250 (81.893)
Epoch: [77][4870/14090]	Time 0.733 (0.754)	Data 0.001 (0.002)	Loss 2.0317 (1.8101)	Prec@1 50.781 (52.515)	Prec@5 75.781 (81.890)
Epoch: [77][4880/14090]	Time 0.727 (0.754)	Data 0.001 (0.002)	Loss 1.8290 (1.8101)	Prec@1 48.438 (52.515)	Prec@5 83.594 (81.892)
Epoch: [77][4890/14090]	Time 0.730 (0.754)	Data 0.001 (0.002)	Loss 1.8806 (1.8102)	Prec@1 57.812 (52.515)	Prec@5 77.344 (81.889)
Epoch: [77][4900/14090]	Time 0.757 (0.754)	Data 0.001 (0.002)	Loss 1.8114 (1.8102)	Prec@1 53.906 (52.516)	Prec@5 84.375 (81.890)
Epoch: [77][4910/14090]	Time 0.787 (0.754)	Data 0.001 (0.002)	Loss 1.5674 (1.8101)	Prec@1 53.125 (52.517)	Prec@5 89.062 (81.891)
Epoch: [77][4920/14090]	Time 0.736 (0.754)	Data 0.002 (0.002)	Loss 1.7799 (1.8103)	Prec@1 53.125 (52.510)	Prec@5 82.031 (81.888)
Epoch: [77][4930/14090]	Time 0.763 (0.754)	Data 0.001 (0.002)	Loss 1.8563 (1.8103)	Prec@1 52.344 (52.509)	Prec@5 81.250 (81.889)
Epoch: [77][4940/14090]	Time 0.768 (0.754)	Data 0.001 (0.002)	Loss 1.5116 (1.8102)	Prec@1 61.719 (52.512)	Prec@5 85.156 (81.890)
Epoch: [77][4950/14090]	Time 0.742 (0.753)	Data 0.001 (0.002)	Loss 1.8395 (1.8101)	Prec@1 55.469 (52.512)	Prec@5 82.031 (81.893)
Epoch: [77][4960/14090]	Time 0.770 (0.753)	Data 0.001 (0.002)	Loss 1.6684 (1.8102)	Prec@1 57.812 (52.514)	Prec@5 85.938 (81.892)
Epoch: [77][4970/14090]	Time 0.759 (0.753)	Data 0.001 (0.002)	Loss 2.1254 (1.8103)	Prec@1 42.969 (52.512)	Prec@5 78.125 (81.890)
Epoch: [77][4980/14090]	Time 0.732 (0.753)	Data 0.001 (0.002)	Loss 1.6414 (1.8102)	Prec@1 57.031 (52.515)	Prec@5 85.156 (81.892)
Epoch: [77][4990/14090]	Time 0.757 (0.753)	Data 0.001 (0.002)	Loss 1.8491 (1.8103)	Prec@1 54.688 (52.513)	Prec@5 79.688 (81.891)
Epoch: [77][5000/14090]	Time 0.730 (0.753)	Data 0.001 (0.002)	Loss 1.3522 (1.8101)	Prec@1 60.938 (52.517)	Prec@5 87.500 (81.896)
Epoch: [77][5010/14090]	Time 0.756 (0.753)	Data 0.001 (0.002)	Loss 1.9161 (1.8101)	Prec@1 52.344 (52.513)	Prec@5 75.781 (81.895)
Epoch: [77][5020/14090]	Time 0.752 (0.753)	Data 0.001 (0.002)	Loss 1.6768 (1.8102)	Prec@1 55.469 (52.510)	Prec@5 85.938 (81.893)
Epoch: [77][5030/14090]	Time 0.754 (0.754)	Data 0.001 (0.002)	Loss 1.7477 (1.8103)	Prec@1 57.812 (52.510)	Prec@5 79.688 (81.891)
Epoch: [77][5040/14090]	Time 0.760 (0.754)	Data 0.001 (0.002)	Loss 1.8665 (1.8102)	Prec@1 53.906 (52.513)	Prec@5 82.031 (81.891)
Epoch: [77][5050/14090]	Time 0.737 (0.754)	Data 0.001 (0.002)	Loss 1.8190 (1.8100)	Prec@1 51.562 (52.517)	Prec@5 83.594 (81.896)
Epoch: [77][5060/14090]	Time 0.757 (0.754)	Data 0.001 (0.002)	Loss 1.9470 (1.8101)	Prec@1 56.250 (52.514)	Prec@5 84.375 (81.893)
Epoch: [77][5070/14090]	Time 0.757 (0.753)	Data 0.001 (0.002)	Loss 1.5688 (1.8101)	Prec@1 57.031 (52.516)	Prec@5 85.938 (81.893)
Epoch: [77][5080/14090]	Time 0.753 (0.753)	Data 0.001 (0.002)	Loss 1.8895 (1.8102)	Prec@1 52.344 (52.512)	Prec@5 82.031 (81.892)
Epoch: [77][5090/14090]	Time 0.765 (0.753)	Data 0.001 (0.002)	Loss 1.8670 (1.8103)	Prec@1 53.906 (52.512)	Prec@5 83.594 (81.891)
Epoch: [77][5100/14090]	Time 0.771 (0.753)	Data 0.001 (0.002)	Loss 1.8382 (1.8104)	Prec@1 48.438 (52.511)	Prec@5 83.594 (81.890)
Epoch: [77][5110/14090]	Time 0.747 (0.753)	Data 0.001 (0.002)	Loss 1.9986 (1.8102)	Prec@1 48.438 (52.512)	Prec@5 78.906 (81.894)
Epoch: [77][5120/14090]	Time 0.732 (0.753)	Data 0.001 (0.002)	Loss 1.8813 (1.8103)	Prec@1 48.438 (52.510)	Prec@5 80.469 (81.892)
Epoch: [77][5130/14090]	Time 0.745 (0.753)	Data 0.001 (0.002)	Loss 1.6163 (1.8103)	Prec@1 60.156 (52.511)	Prec@5 85.938 (81.893)
Epoch: [77][5140/14090]	Time 0.735 (0.753)	Data 0.001 (0.002)	Loss 1.6321 (1.8101)	Prec@1 55.469 (52.514)	Prec@5 85.156 (81.896)
Epoch: [77][5150/14090]	Time 0.741 (0.753)	Data 0.001 (0.002)	Loss 1.7127 (1.8101)	Prec@1 54.688 (52.518)	Prec@5 82.031 (81.897)
Epoch: [77][5160/14090]	Time 0.738 (0.753)	Data 0.001 (0.002)	Loss 1.7596 (1.8100)	Prec@1 49.219 (52.518)	Prec@5 83.594 (81.899)
Epoch: [77][5170/14090]	Time 0.734 (0.753)	Data 0.001 (0.002)	Loss 2.1173 (1.8100)	Prec@1 43.750 (52.519)	Prec@5 78.125 (81.899)
Epoch: [77][5180/14090]	Time 0.744 (0.753)	Data 0.001 (0.002)	Loss 2.0020 (1.8100)	Prec@1 49.219 (52.520)	Prec@5 75.000 (81.898)
Epoch: [77][5190/14090]	Time 0.761 (0.753)	Data 0.001 (0.002)	Loss 1.6680 (1.8101)	Prec@1 57.031 (52.519)	Prec@5 85.938 (81.898)
Epoch: [77][5200/14090]	Time 0.758 (0.753)	Data 0.001 (0.002)	Loss 1.7538 (1.8100)	Prec@1 52.344 (52.521)	Prec@5 81.250 (81.898)
Epoch: [77][5210/14090]	Time 0.771 (0.753)	Data 0.001 (0.002)	Loss 1.8262 (1.8099)	Prec@1 51.562 (52.522)	Prec@5 82.031 (81.901)
Epoch: [77][5220/14090]	Time 0.766 (0.753)	Data 0.001 (0.002)	Loss 1.8944 (1.8100)	Prec@1 49.219 (52.518)	Prec@5 78.125 (81.901)
Epoch: [77][5230/14090]	Time 0.728 (0.753)	Data 0.001 (0.002)	Loss 2.1554 (1.8100)	Prec@1 44.531 (52.520)	Prec@5 81.250 (81.904)
Epoch: [77][5240/14090]	Time 0.727 (0.753)	Data 0.001 (0.002)	Loss 1.7157 (1.8100)	Prec@1 57.031 (52.520)	Prec@5 85.156 (81.902)
Epoch: [77][5250/14090]	Time 0.772 (0.753)	Data 0.001 (0.002)	Loss 1.9415 (1.8100)	Prec@1 53.125 (52.524)	Prec@5 79.688 (81.903)
Epoch: [77][5260/14090]	Time 0.767 (0.753)	Data 0.001 (0.002)	Loss 2.1214 (1.8102)	Prec@1 53.906 (52.518)	Prec@5 74.219 (81.900)
Epoch: [77][5270/14090]	Time 0.728 (0.753)	Data 0.001 (0.002)	Loss 1.6926 (1.8101)	Prec@1 52.344 (52.521)	Prec@5 81.250 (81.903)
Epoch: [77][5280/14090]	Time 0.761 (0.753)	Data 0.001 (0.002)	Loss 1.6982 (1.8099)	Prec@1 56.250 (52.525)	Prec@5 83.594 (81.905)
Epoch: [77][5290/14090]	Time 0.723 (0.753)	Data 0.001 (0.002)	Loss 1.6352 (1.8099)	Prec@1 55.469 (52.524)	Prec@5 83.594 (81.905)
Epoch: [77][5300/14090]	Time 0.749 (0.753)	Data 0.001 (0.002)	Loss 1.7136 (1.8101)	Prec@1 52.344 (52.518)	Prec@5 85.938 (81.902)
Epoch: [77][5310/14090]	Time 0.731 (0.753)	Data 0.001 (0.002)	Loss 1.8884 (1.8102)	Prec@1 49.219 (52.514)	Prec@5 81.250 (81.900)
Epoch: [77][5320/14090]	Time 0.766 (0.753)	Data 0.001 (0.002)	Loss 1.7925 (1.8103)	Prec@1 54.688 (52.515)	Prec@5 83.594 (81.901)
Epoch: [77][5330/14090]	Time 0.748 (0.753)	Data 0.001 (0.002)	Loss 1.8294 (1.8102)	Prec@1 49.219 (52.513)	Prec@5 78.906 (81.901)
Epoch: [77][5340/14090]	Time 0.753 (0.753)	Data 0.001 (0.002)	Loss 1.8892 (1.8102)	Prec@1 54.688 (52.513)	Prec@5 78.906 (81.901)
Epoch: [77][5350/14090]	Time 0.781 (0.753)	Data 0.001 (0.002)	Loss 1.8070 (1.8101)	Prec@1 52.344 (52.517)	Prec@5 84.375 (81.901)
Epoch: [77][5360/14090]	Time 0.738 (0.753)	Data 0.001 (0.002)	Loss 1.7160 (1.8100)	Prec@1 55.469 (52.517)	Prec@5 83.594 (81.901)
Epoch: [77][5370/14090]	Time 0.756 (0.753)	Data 0.001 (0.002)	Loss 1.8810 (1.8101)	Prec@1 53.125 (52.519)	Prec@5 82.812 (81.899)
Epoch: [77][5380/14090]	Time 0.730 (0.753)	Data 0.001 (0.002)	Loss 1.6937 (1.8100)	Prec@1 50.781 (52.521)	Prec@5 81.250 (81.901)
Epoch: [77][5390/14090]	Time 0.743 (0.753)	Data 0.001 (0.002)	Loss 1.9703 (1.8101)	Prec@1 44.531 (52.518)	Prec@5 78.906 (81.899)
Epoch: [77][5400/14090]	Time 0.732 (0.753)	Data 0.001 (0.002)	Loss 1.7065 (1.8100)	Prec@1 53.125 (52.524)	Prec@5 81.250 (81.899)
Epoch: [77][5410/14090]	Time 0.730 (0.753)	Data 0.001 (0.002)	Loss 1.9805 (1.8101)	Prec@1 45.312 (52.519)	Prec@5 78.125 (81.899)
Epoch: [77][5420/14090]	Time 0.724 (0.753)	Data 0.001 (0.002)	Loss 1.6787 (1.8100)	Prec@1 58.594 (52.522)	Prec@5 82.812 (81.898)
Epoch: [77][5430/14090]	Time 0.746 (0.753)	Data 0.001 (0.002)	Loss 1.8467 (1.8100)	Prec@1 49.219 (52.520)	Prec@5 84.375 (81.899)
Epoch: [77][5440/14090]	Time 0.738 (0.753)	Data 0.001 (0.002)	Loss 1.7691 (1.8099)	Prec@1 56.250 (52.522)	Prec@5 85.938 (81.900)
Epoch: [77][5450/14090]	Time 0.770 (0.753)	Data 0.001 (0.002)	Loss 1.6788 (1.8099)	Prec@1 53.906 (52.520)	Prec@5 80.469 (81.900)
Epoch: [77][5460/14090]	Time 0.731 (0.753)	Data 0.001 (0.002)	Loss 1.6210 (1.8099)	Prec@1 57.812 (52.518)	Prec@5 84.375 (81.900)
Epoch: [77][5470/14090]	Time 0.769 (0.753)	Data 0.001 (0.002)	Loss 1.6258 (1.8099)	Prec@1 57.031 (52.521)	Prec@5 85.938 (81.901)
Epoch: [77][5480/14090]	Time 0.730 (0.753)	Data 0.001 (0.002)	Loss 2.1759 (1.8099)	Prec@1 47.656 (52.519)	Prec@5 75.000 (81.901)
Epoch: [77][5490/14090]	Time 0.735 (0.753)	Data 0.001 (0.002)	Loss 1.9820 (1.8099)	Prec@1 53.125 (52.522)	Prec@5 79.688 (81.902)
Epoch: [77][5500/14090]	Time 0.762 (0.753)	Data 0.001 (0.002)	Loss 1.9533 (1.8100)	Prec@1 47.656 (52.522)	Prec@5 81.250 (81.901)
Epoch: [77][5510/14090]	Time 0.735 (0.753)	Data 0.001 (0.002)	Loss 1.7057 (1.8101)	Prec@1 60.938 (52.520)	Prec@5 82.812 (81.899)
Epoch: [77][5520/14090]	Time 0.746 (0.753)	Data 0.001 (0.002)	Loss 1.7800 (1.8101)	Prec@1 53.906 (52.521)	Prec@5 83.594 (81.899)
Epoch: [77][5530/14090]	Time 0.775 (0.753)	Data 0.001 (0.002)	Loss 1.7434 (1.8101)	Prec@1 54.688 (52.520)	Prec@5 78.125 (81.897)
Epoch: [77][5540/14090]	Time 0.763 (0.753)	Data 0.001 (0.002)	Loss 1.4053 (1.8101)	Prec@1 60.938 (52.520)	Prec@5 89.844 (81.896)
Epoch: [77][5550/14090]	Time 0.749 (0.753)	Data 0.001 (0.002)	Loss 1.9704 (1.8102)	Prec@1 44.531 (52.517)	Prec@5 78.125 (81.897)
Epoch: [77][5560/14090]	Time 0.744 (0.753)	Data 0.001 (0.002)	Loss 1.9649 (1.8103)	Prec@1 50.781 (52.515)	Prec@5 84.375 (81.897)
Epoch: [77][5570/14090]	Time 0.757 (0.753)	Data 0.001 (0.002)	Loss 2.1337 (1.8105)	Prec@1 39.062 (52.507)	Prec@5 75.000 (81.894)
Epoch: [77][5580/14090]	Time 0.775 (0.753)	Data 0.001 (0.002)	Loss 1.9456 (1.8105)	Prec@1 49.219 (52.503)	Prec@5 79.688 (81.892)
Epoch: [77][5590/14090]	Time 0.733 (0.753)	Data 0.001 (0.002)	Loss 2.0005 (1.8106)	Prec@1 47.656 (52.501)	Prec@5 76.562 (81.889)
Epoch: [77][5600/14090]	Time 0.764 (0.753)	Data 0.001 (0.002)	Loss 1.8011 (1.8105)	Prec@1 50.781 (52.504)	Prec@5 81.250 (81.888)
Epoch: [77][5610/14090]	Time 0.886 (0.753)	Data 0.001 (0.002)	Loss 1.7492 (1.8106)	Prec@1 55.469 (52.504)	Prec@5 83.594 (81.889)
Epoch: [77][5620/14090]	Time 0.779 (0.753)	Data 0.001 (0.002)	Loss 1.7957 (1.8105)	Prec@1 46.094 (52.502)	Prec@5 86.719 (81.888)
Epoch: [77][5630/14090]	Time 0.738 (0.753)	Data 0.001 (0.002)	Loss 1.7921 (1.8106)	Prec@1 56.250 (52.500)	Prec@5 82.812 (81.887)
Epoch: [77][5640/14090]	Time 0.759 (0.753)	Data 0.001 (0.002)	Loss 1.9268 (1.8106)	Prec@1 48.438 (52.498)	Prec@5 77.344 (81.888)
Epoch: [77][5650/14090]	Time 0.741 (0.753)	Data 0.001 (0.002)	Loss 1.8446 (1.8104)	Prec@1 50.781 (52.498)	Prec@5 82.812 (81.891)
Epoch: [77][5660/14090]	Time 0.734 (0.753)	Data 0.001 (0.002)	Loss 1.9257 (1.8104)	Prec@1 49.219 (52.497)	Prec@5 78.125 (81.892)
Epoch: [77][5670/14090]	Time 0.724 (0.753)	Data 0.001 (0.002)	Loss 1.9566 (1.8104)	Prec@1 48.438 (52.495)	Prec@5 79.688 (81.893)
Epoch: [77][5680/14090]	Time 0.733 (0.753)	Data 0.001 (0.002)	Loss 1.8316 (1.8104)	Prec@1 54.688 (52.495)	Prec@5 80.469 (81.893)
Epoch: [77][5690/14090]	Time 0.753 (0.753)	Data 0.001 (0.002)	Loss 1.8946 (1.8103)	Prec@1 56.250 (52.498)	Prec@5 80.469 (81.894)
Epoch: [77][5700/14090]	Time 0.735 (0.753)	Data 0.001 (0.002)	Loss 2.1300 (1.8104)	Prec@1 47.656 (52.496)	Prec@5 76.562 (81.891)
Epoch: [77][5710/14090]	Time 0.750 (0.753)	Data 0.001 (0.002)	Loss 1.6873 (1.8103)	Prec@1 53.125 (52.498)	Prec@5 84.375 (81.894)
Epoch: [77][5720/14090]	Time 0.732 (0.753)	Data 0.001 (0.002)	Loss 1.8068 (1.8103)	Prec@1 52.344 (52.497)	Prec@5 85.156 (81.896)
Epoch: [77][5730/14090]	Time 0.741 (0.753)	Data 0.001 (0.002)	Loss 1.6531 (1.8103)	Prec@1 53.906 (52.497)	Prec@5 87.500 (81.897)
Epoch: [77][5740/14090]	Time 0.751 (0.753)	Data 0.001 (0.002)	Loss 1.6577 (1.8102)	Prec@1 54.688 (52.496)	Prec@5 85.938 (81.899)
Epoch: [77][5750/14090]	Time 0.755 (0.753)	Data 0.001 (0.002)	Loss 1.7747 (1.8101)	Prec@1 54.688 (52.499)	Prec@5 81.250 (81.899)
Epoch: [77][5760/14090]	Time 0.763 (0.753)	Data 0.001 (0.002)	Loss 1.9053 (1.8102)	Prec@1 50.781 (52.497)	Prec@5 83.594 (81.898)
Epoch: [77][5770/14090]	Time 0.739 (0.753)	Data 0.001 (0.002)	Loss 2.1681 (1.8104)	Prec@1 51.562 (52.498)	Prec@5 78.906 (81.895)
Epoch: [77][5780/14090]	Time 0.769 (0.753)	Data 0.001 (0.002)	Loss 1.9443 (1.8104)	Prec@1 48.438 (52.497)	Prec@5 75.781 (81.896)
Epoch: [77][5790/14090]	Time 0.776 (0.753)	Data 0.001 (0.002)	Loss 1.6132 (1.8104)	Prec@1 58.594 (52.498)	Prec@5 85.156 (81.894)
Epoch: [77][5800/14090]	Time 0.723 (0.753)	Data 0.001 (0.002)	Loss 1.9522 (1.8106)	Prec@1 51.562 (52.496)	Prec@5 80.469 (81.891)
Epoch: [77][5810/14090]	Time 0.729 (0.753)	Data 0.001 (0.002)	Loss 1.7998 (1.8105)	Prec@1 53.906 (52.497)	Prec@5 82.031 (81.893)
Epoch: [77][5820/14090]	Time 0.750 (0.753)	Data 0.001 (0.002)	Loss 1.7125 (1.8104)	Prec@1 56.250 (52.501)	Prec@5 85.156 (81.894)
Epoch: [77][5830/14090]	Time 0.724 (0.753)	Data 0.001 (0.002)	Loss 1.8159 (1.8104)	Prec@1 48.438 (52.501)	Prec@5 84.375 (81.894)
Epoch: [77][5840/14090]	Time 0.755 (0.753)	Data 0.001 (0.002)	Loss 1.8064 (1.8104)	Prec@1 53.125 (52.503)	Prec@5 87.500 (81.895)
Epoch: [77][5850/14090]	Time 0.766 (0.753)	Data 0.001 (0.002)	Loss 1.5682 (1.8105)	Prec@1 53.906 (52.500)	Prec@5 85.156 (81.894)
Epoch: [77][5860/14090]	Time 0.736 (0.753)	Data 0.001 (0.002)	Loss 1.7697 (1.8104)	Prec@1 52.344 (52.500)	Prec@5 78.906 (81.894)
Epoch: [77][5870/14090]	Time 0.749 (0.753)	Data 0.001 (0.002)	Loss 1.7747 (1.8105)	Prec@1 53.906 (52.500)	Prec@5 79.688 (81.892)
Epoch: [77][5880/14090]	Time 0.755 (0.753)	Data 0.001 (0.002)	Loss 1.6481 (1.8105)	Prec@1 57.031 (52.499)	Prec@5 82.031 (81.893)
Epoch: [77][5890/14090]	Time 0.725 (0.753)	Data 0.001 (0.002)	Loss 1.6836 (1.8104)	Prec@1 56.250 (52.501)	Prec@5 81.250 (81.893)
Epoch: [77][5900/14090]	Time 0.764 (0.753)	Data 0.001 (0.002)	Loss 1.6959 (1.8104)	Prec@1 56.250 (52.502)	Prec@5 82.031 (81.892)
Epoch: [77][5910/14090]	Time 0.737 (0.753)	Data 0.001 (0.002)	Loss 2.0193 (1.8106)	Prec@1 50.781 (52.498)	Prec@5 75.781 (81.889)
Epoch: [77][5920/14090]	Time 0.750 (0.753)	Data 0.001 (0.002)	Loss 1.8993 (1.8106)	Prec@1 47.656 (52.499)	Prec@5 78.125 (81.887)
Epoch: [77][5930/14090]	Time 0.749 (0.753)	Data 0.001 (0.002)	Loss 1.5588 (1.8106)	Prec@1 57.031 (52.499)	Prec@5 86.719 (81.887)
Epoch: [77][5940/14090]	Time 0.763 (0.753)	Data 0.001 (0.002)	Loss 1.9694 (1.8107)	Prec@1 53.125 (52.496)	Prec@5 78.125 (81.885)
Epoch: [77][5950/14090]	Time 0.730 (0.753)	Data 0.001 (0.002)	Loss 1.6146 (1.8107)	Prec@1 59.375 (52.496)	Prec@5 83.594 (81.884)
Epoch: [77][5960/14090]	Time 0.756 (0.753)	Data 0.001 (0.002)	Loss 1.8294 (1.8107)	Prec@1 53.906 (52.499)	Prec@5 82.812 (81.884)
Epoch: [77][5970/14090]	Time 0.748 (0.753)	Data 0.001 (0.002)	Loss 2.1486 (1.8108)	Prec@1 47.656 (52.495)	Prec@5 75.000 (81.881)
Epoch: [77][5980/14090]	Time 0.779 (0.753)	Data 0.001 (0.002)	Loss 2.1575 (1.8108)	Prec@1 49.219 (52.496)	Prec@5 75.781 (81.882)
Epoch: [77][5990/14090]	Time 0.759 (0.753)	Data 0.001 (0.002)	Loss 1.9973 (1.8109)	Prec@1 45.312 (52.496)	Prec@5 76.562 (81.879)
Epoch: [77][6000/14090]	Time 0.765 (0.753)	Data 0.001 (0.002)	Loss 1.9487 (1.8110)	Prec@1 53.125 (52.495)	Prec@5 81.250 (81.878)
Epoch: [77][6010/14090]	Time 0.734 (0.753)	Data 0.001 (0.002)	Loss 1.8506 (1.8109)	Prec@1 56.250 (52.499)	Prec@5 80.469 (81.878)
Epoch: [77][6020/14090]	Time 0.791 (0.753)	Data 0.001 (0.002)	Loss 1.9558 (1.8108)	Prec@1 50.781 (52.501)	Prec@5 79.688 (81.879)
Epoch: [77][6030/14090]	Time 0.727 (0.753)	Data 0.001 (0.002)	Loss 1.8607 (1.8108)	Prec@1 48.438 (52.500)	Prec@5 80.469 (81.877)
Epoch: [77][6040/14090]	Time 0.763 (0.753)	Data 0.001 (0.002)	Loss 1.9275 (1.8108)	Prec@1 50.000 (52.503)	Prec@5 73.438 (81.877)
Epoch: [77][6050/14090]	Time 0.758 (0.753)	Data 0.001 (0.002)	Loss 1.5892 (1.8109)	Prec@1 60.156 (52.501)	Prec@5 82.031 (81.875)
Epoch: [77][6060/14090]	Time 0.735 (0.753)	Data 0.001 (0.002)	Loss 2.0385 (1.8109)	Prec@1 50.000 (52.503)	Prec@5 80.469 (81.874)
Epoch: [77][6070/14090]	Time 0.777 (0.753)	Data 0.001 (0.002)	Loss 1.8125 (1.8108)	Prec@1 53.125 (52.505)	Prec@5 81.250 (81.874)
Epoch: [77][6080/14090]	Time 0.725 (0.753)	Data 0.001 (0.002)	Loss 1.6792 (1.8108)	Prec@1 60.156 (52.504)	Prec@5 83.594 (81.874)
Epoch: [77][6090/14090]	Time 0.753 (0.753)	Data 0.001 (0.002)	Loss 2.0412 (1.8108)	Prec@1 47.656 (52.502)	Prec@5 77.344 (81.874)
Epoch: [77][6100/14090]	Time 0.730 (0.753)	Data 0.001 (0.002)	Loss 1.6730 (1.8109)	Prec@1 54.688 (52.499)	Prec@5 83.594 (81.873)
Epoch: [77][6110/14090]	Time 0.765 (0.753)	Data 0.001 (0.002)	Loss 1.9009 (1.8109)	Prec@1 44.531 (52.499)	Prec@5 82.031 (81.873)
Epoch: [77][6120/14090]	Time 0.746 (0.753)	Data 0.001 (0.002)	Loss 1.5838 (1.8108)	Prec@1 57.031 (52.502)	Prec@5 85.156 (81.874)
Epoch: [77][6130/14090]	Time 0.782 (0.753)	Data 0.001 (0.002)	Loss 1.9817 (1.8108)	Prec@1 47.656 (52.499)	Prec@5 82.031 (81.876)
Epoch: [77][6140/14090]	Time 0.740 (0.753)	Data 0.001 (0.002)	Loss 1.9333 (1.8109)	Prec@1 47.656 (52.497)	Prec@5 78.125 (81.874)
Epoch: [77][6150/14090]	Time 0.743 (0.753)	Data 0.001 (0.002)	Loss 1.9476 (1.8109)	Prec@1 47.656 (52.493)	Prec@5 79.688 (81.874)
Epoch: [77][6160/14090]	Time 0.749 (0.753)	Data 0.001 (0.002)	Loss 1.8559 (1.8107)	Prec@1 54.688 (52.493)	Prec@5 79.688 (81.877)
Epoch: [77][6170/14090]	Time 0.765 (0.753)	Data 0.001 (0.002)	Loss 2.0368 (1.8108)	Prec@1 56.250 (52.492)	Prec@5 77.344 (81.875)
Epoch: [77][6180/14090]	Time 0.758 (0.753)	Data 0.001 (0.002)	Loss 1.8230 (1.8108)	Prec@1 52.344 (52.494)	Prec@5 82.031 (81.874)
Epoch: [77][6190/14090]	Time 0.748 (0.753)	Data 0.001 (0.002)	Loss 1.6247 (1.8108)	Prec@1 53.125 (52.494)	Prec@5 83.594 (81.870)
Epoch: [77][6200/14090]	Time 0.730 (0.753)	Data 0.001 (0.002)	Loss 1.9385 (1.8109)	Prec@1 49.219 (52.493)	Prec@5 77.344 (81.870)
Epoch: [77][6210/14090]	Time 0.750 (0.753)	Data 0.001 (0.002)	Loss 1.4964 (1.8107)	Prec@1 55.469 (52.496)	Prec@5 86.719 (81.871)
Epoch: [77][6220/14090]	Time 0.760 (0.753)	Data 0.001 (0.002)	Loss 1.8139 (1.8108)	Prec@1 55.469 (52.495)	Prec@5 79.688 (81.869)
Epoch: [77][6230/14090]	Time 0.726 (0.753)	Data 0.001 (0.002)	Loss 2.0198 (1.8109)	Prec@1 47.656 (52.494)	Prec@5 75.000 (81.866)
Epoch: [77][6240/14090]	Time 0.748 (0.753)	Data 0.001 (0.002)	Loss 1.8231 (1.8109)	Prec@1 47.656 (52.491)	Prec@5 84.375 (81.865)
Epoch: [77][6250/14090]	Time 0.736 (0.753)	Data 0.001 (0.002)	Loss 1.5839 (1.8110)	Prec@1 57.812 (52.491)	Prec@5 85.938 (81.865)
Epoch: [77][6260/14090]	Time 0.728 (0.753)	Data 0.001 (0.002)	Loss 1.7340 (1.8110)	Prec@1 54.688 (52.494)	Prec@5 82.812 (81.865)
Epoch: [77][6270/14090]	Time 0.739 (0.753)	Data 0.001 (0.002)	Loss 1.5444 (1.8109)	Prec@1 58.594 (52.497)	Prec@5 85.156 (81.867)
Epoch: [77][6280/14090]	Time 0.729 (0.753)	Data 0.001 (0.002)	Loss 1.6933 (1.8108)	Prec@1 55.469 (52.500)	Prec@5 81.250 (81.867)
Epoch: [77][6290/14090]	Time 0.726 (0.753)	Data 0.001 (0.002)	Loss 1.8409 (1.8107)	Prec@1 50.781 (52.501)	Prec@5 85.156 (81.869)
Epoch: [77][6300/14090]	Time 0.770 (0.753)	Data 0.001 (0.002)	Loss 1.7653 (1.8106)	Prec@1 56.250 (52.503)	Prec@5 82.031 (81.870)
Epoch: [77][6310/14090]	Time 0.749 (0.753)	Data 0.001 (0.002)	Loss 1.9072 (1.8106)	Prec@1 46.875 (52.504)	Prec@5 77.344 (81.871)
Epoch: [77][6320/14090]	Time 0.735 (0.753)	Data 0.001 (0.002)	Loss 1.5389 (1.8105)	Prec@1 57.812 (52.506)	Prec@5 85.938 (81.871)
Epoch: [77][6330/14090]	Time 0.740 (0.753)	Data 0.001 (0.002)	Loss 1.7432 (1.8104)	Prec@1 60.156 (52.510)	Prec@5 81.250 (81.870)
Epoch: [77][6340/14090]	Time 0.772 (0.753)	Data 0.001 (0.002)	Loss 1.6207 (1.8104)	Prec@1 58.594 (52.514)	Prec@5 82.031 (81.871)
Epoch: [77][6350/14090]	Time 0.751 (0.753)	Data 0.001 (0.002)	Loss 1.8874 (1.8103)	Prec@1 44.531 (52.513)	Prec@5 83.594 (81.870)
Epoch: [77][6360/14090]	Time 0.738 (0.753)	Data 0.001 (0.002)	Loss 1.6160 (1.8103)	Prec@1 55.469 (52.514)	Prec@5 86.719 (81.870)
Epoch: [77][6370/14090]	Time 0.763 (0.753)	Data 0.001 (0.002)	Loss 1.8530 (1.8103)	Prec@1 53.906 (52.513)	Prec@5 80.469 (81.869)
Epoch: [77][6380/14090]	Time 0.751 (0.753)	Data 0.001 (0.002)	Loss 2.0649 (1.8104)	Prec@1 44.531 (52.511)	Prec@5 75.781 (81.867)
Epoch: [77][6390/14090]	Time 0.750 (0.753)	Data 0.001 (0.002)	Loss 1.6178 (1.8104)	Prec@1 53.906 (52.510)	Prec@5 86.719 (81.867)
Epoch: [77][6400/14090]	Time 0.733 (0.753)	Data 0.001 (0.002)	Loss 1.8856 (1.8104)	Prec@1 47.656 (52.509)	Prec@5 81.250 (81.868)
Epoch: [77][6410/14090]	Time 0.732 (0.753)	Data 0.001 (0.002)	Loss 1.7116 (1.8103)	Prec@1 46.875 (52.513)	Prec@5 85.938 (81.867)
Epoch: [77][6420/14090]	Time 0.739 (0.753)	Data 0.001 (0.002)	Loss 2.0437 (1.8104)	Prec@1 44.531 (52.514)	Prec@5 78.125 (81.864)
Epoch: [77][6430/14090]	Time 0.732 (0.753)	Data 0.001 (0.002)	Loss 1.7799 (1.8104)	Prec@1 53.906 (52.517)	Prec@5 83.594 (81.865)
Epoch: [77][6440/14090]	Time 0.756 (0.753)	Data 0.001 (0.002)	Loss 1.8277 (1.8103)	Prec@1 57.031 (52.519)	Prec@5 79.688 (81.865)
Epoch: [77][6450/14090]	Time 0.765 (0.753)	Data 0.001 (0.002)	Loss 1.7937 (1.8104)	Prec@1 55.469 (52.520)	Prec@5 79.688 (81.864)
Epoch: [77][6460/14090]	Time 0.761 (0.753)	Data 0.001 (0.002)	Loss 2.0909 (1.8104)	Prec@1 50.781 (52.520)	Prec@5 77.344 (81.864)
Epoch: [77][6470/14090]	Time 0.740 (0.753)	Data 0.001 (0.002)	Loss 1.8204 (1.8105)	Prec@1 53.906 (52.518)	Prec@5 78.125 (81.862)
Epoch: [77][6480/14090]	Time 0.754 (0.753)	Data 0.001 (0.002)	Loss 1.7438 (1.8105)	Prec@1 53.125 (52.516)	Prec@5 85.156 (81.860)
Epoch: [77][6490/14090]	Time 0.733 (0.752)	Data 0.001 (0.002)	Loss 1.8923 (1.8105)	Prec@1 49.219 (52.515)	Prec@5 80.469 (81.861)
Epoch: [77][6500/14090]	Time 0.751 (0.752)	Data 0.001 (0.002)	Loss 1.8086 (1.8104)	Prec@1 54.688 (52.516)	Prec@5 82.812 (81.862)
Epoch: [77][6510/14090]	Time 0.734 (0.752)	Data 0.001 (0.002)	Loss 1.7899 (1.8104)	Prec@1 50.000 (52.517)	Prec@5 84.375 (81.863)
Epoch: [77][6520/14090]	Time 0.746 (0.752)	Data 0.001 (0.002)	Loss 1.6191 (1.8103)	Prec@1 56.250 (52.518)	Prec@5 82.812 (81.864)
Epoch: [77][6530/14090]	Time 0.741 (0.752)	Data 0.001 (0.002)	Loss 1.5471 (1.8103)	Prec@1 57.812 (52.519)	Prec@5 85.156 (81.864)
Epoch: [77][6540/14090]	Time 0.734 (0.752)	Data 0.001 (0.002)	Loss 1.6306 (1.8104)	Prec@1 58.594 (52.517)	Prec@5 88.281 (81.861)
Epoch: [77][6550/14090]	Time 0.756 (0.752)	Data 0.001 (0.002)	Loss 1.8084 (1.8102)	Prec@1 50.000 (52.519)	Prec@5 82.812 (81.863)
Epoch: [77][6560/14090]	Time 0.743 (0.752)	Data 0.001 (0.002)	Loss 1.7587 (1.8102)	Prec@1 58.594 (52.523)	Prec@5 84.375 (81.866)
Epoch: [77][6570/14090]	Time 0.731 (0.752)	Data 0.001 (0.002)	Loss 1.6785 (1.8101)	Prec@1 47.656 (52.522)	Prec@5 85.156 (81.865)
Epoch: [77][6580/14090]	Time 0.773 (0.752)	Data 0.001 (0.002)	Loss 1.9703 (1.8102)	Prec@1 46.875 (52.523)	Prec@5 80.469 (81.864)
Epoch: [77][6590/14090]	Time 0.733 (0.752)	Data 0.001 (0.002)	Loss 1.5417 (1.8103)	Prec@1 63.281 (52.522)	Prec@5 85.156 (81.862)
Epoch: [77][6600/14090]	Time 0.752 (0.752)	Data 0.001 (0.002)	Loss 1.7863 (1.8103)	Prec@1 48.438 (52.519)	Prec@5 83.594 (81.861)
Epoch: [77][6610/14090]	Time 0.723 (0.752)	Data 0.001 (0.002)	Loss 1.8668 (1.8104)	Prec@1 50.781 (52.519)	Prec@5 80.469 (81.860)
Epoch: [77][6620/14090]	Time 0.775 (0.752)	Data 0.001 (0.002)	Loss 1.4649 (1.8105)	Prec@1 59.375 (52.520)	Prec@5 86.719 (81.860)
Epoch: [77][6630/14090]	Time 0.785 (0.752)	Data 0.001 (0.002)	Loss 2.0004 (1.8105)	Prec@1 49.219 (52.518)	Prec@5 76.562 (81.858)
Epoch: [77][6640/14090]	Time 0.754 (0.752)	Data 0.001 (0.002)	Loss 1.7178 (1.8105)	Prec@1 51.562 (52.520)	Prec@5 82.031 (81.861)
Epoch: [77][6650/14090]	Time 0.737 (0.752)	Data 0.001 (0.002)	Loss 1.6842 (1.8103)	Prec@1 54.688 (52.524)	Prec@5 83.594 (81.863)
Epoch: [77][6660/14090]	Time 0.750 (0.752)	Data 0.001 (0.002)	Loss 1.6940 (1.8102)	Prec@1 56.250 (52.525)	Prec@5 82.031 (81.865)
Epoch: [77][6670/14090]	Time 0.739 (0.752)	Data 0.001 (0.002)	Loss 1.5119 (1.8102)	Prec@1 61.719 (52.527)	Prec@5 88.281 (81.867)
Epoch: [77][6680/14090]	Time 0.777 (0.752)	Data 0.001 (0.002)	Loss 1.9166 (1.8102)	Prec@1 54.688 (52.525)	Prec@5 82.812 (81.866)
Epoch: [77][6690/14090]	Time 0.752 (0.752)	Data 0.001 (0.002)	Loss 1.6223 (1.8103)	Prec@1 53.125 (52.522)	Prec@5 85.938 (81.866)
Epoch: [77][6700/14090]	Time 0.744 (0.752)	Data 0.001 (0.002)	Loss 1.9161 (1.8102)	Prec@1 54.688 (52.523)	Prec@5 82.812 (81.870)
Epoch: [77][6710/14090]	Time 0.752 (0.752)	Data 0.001 (0.002)	Loss 1.4874 (1.8102)	Prec@1 63.281 (52.525)	Prec@5 89.062 (81.871)
Epoch: [77][6720/14090]	Time 0.740 (0.752)	Data 0.001 (0.002)	Loss 2.0617 (1.8101)	Prec@1 44.531 (52.524)	Prec@5 77.344 (81.873)
Epoch: [77][6730/14090]	Time 0.736 (0.752)	Data 0.001 (0.002)	Loss 1.7404 (1.8102)	Prec@1 49.219 (52.519)	Prec@5 83.594 (81.871)
Epoch: [77][6740/14090]	Time 0.736 (0.752)	Data 0.001 (0.002)	Loss 1.8955 (1.8103)	Prec@1 53.125 (52.519)	Prec@5 78.906 (81.871)
Epoch: [77][6750/14090]	Time 0.749 (0.752)	Data 0.001 (0.002)	Loss 1.8109 (1.8103)	Prec@1 54.688 (52.519)	Prec@5 82.812 (81.869)
Epoch: [77][6760/14090]	Time 0.741 (0.752)	Data 0.001 (0.002)	Loss 1.8319 (1.8104)	Prec@1 51.562 (52.521)	Prec@5 84.375 (81.870)
Epoch: [77][6770/14090]	Time 0.748 (0.752)	Data 0.001 (0.002)	Loss 1.6580 (1.8104)	Prec@1 49.219 (52.519)	Prec@5 84.375 (81.869)
Epoch: [77][6780/14090]	Time 0.765 (0.752)	Data 0.001 (0.002)	Loss 1.9639 (1.8104)	Prec@1 54.688 (52.518)	Prec@5 75.781 (81.870)
Epoch: [77][6790/14090]	Time 0.736 (0.752)	Data 0.001 (0.002)	Loss 1.8284 (1.8104)	Prec@1 50.000 (52.519)	Prec@5 80.469 (81.871)
Epoch: [77][6800/14090]	Time 0.726 (0.752)	Data 0.001 (0.002)	Loss 1.5590 (1.8105)	Prec@1 56.250 (52.518)	Prec@5 83.594 (81.868)
Epoch: [77][6810/14090]	Time 0.742 (0.752)	Data 0.001 (0.002)	Loss 2.0835 (1.8104)	Prec@1 46.875 (52.517)	Prec@5 77.344 (81.869)
Epoch: [77][6820/14090]	Time 0.724 (0.752)	Data 0.001 (0.002)	Loss 1.8000 (1.8103)	Prec@1 56.250 (52.517)	Prec@5 81.250 (81.870)
Epoch: [77][6830/14090]	Time 0.737 (0.752)	Data 0.001 (0.002)	Loss 1.7865 (1.8103)	Prec@1 51.562 (52.516)	Prec@5 82.812 (81.871)
Epoch: [77][6840/14090]	Time 0.741 (0.752)	Data 0.001 (0.002)	Loss 2.2009 (1.8103)	Prec@1 42.969 (52.515)	Prec@5 74.219 (81.871)
Epoch: [77][6850/14090]	Time 0.762 (0.752)	Data 0.001 (0.002)	Loss 1.9558 (1.8104)	Prec@1 51.562 (52.514)	Prec@5 82.031 (81.872)
Epoch: [77][6860/14090]	Time 0.734 (0.752)	Data 0.001 (0.002)	Loss 1.3939 (1.8104)	Prec@1 59.375 (52.515)	Prec@5 89.844 (81.870)
Epoch: [77][6870/14090]	Time 0.751 (0.752)	Data 0.001 (0.001)	Loss 1.6436 (1.8103)	Prec@1 53.125 (52.517)	Prec@5 85.938 (81.873)
Epoch: [77][6880/14090]	Time 0.765 (0.752)	Data 0.001 (0.001)	Loss 1.4811 (1.8104)	Prec@1 57.812 (52.515)	Prec@5 85.938 (81.872)
Epoch: [77][6890/14090]	Time 0.733 (0.752)	Data 0.001 (0.001)	Loss 1.8625 (1.8103)	Prec@1 54.688 (52.515)	Prec@5 80.469 (81.871)
Epoch: [77][6900/14090]	Time 0.750 (0.752)	Data 0.001 (0.001)	Loss 1.6519 (1.8105)	Prec@1 54.688 (52.513)	Prec@5 85.156 (81.869)
Epoch: [77][6910/14090]	Time 0.764 (0.752)	Data 0.001 (0.001)	Loss 1.9772 (1.8105)	Prec@1 44.531 (52.512)	Prec@5 80.469 (81.869)
Epoch: [77][6920/14090]	Time 0.752 (0.752)	Data 0.001 (0.001)	Loss 1.8845 (1.8104)	Prec@1 50.781 (52.515)	Prec@5 82.812 (81.871)
Epoch: [77][6930/14090]	Time 0.784 (0.752)	Data 0.001 (0.001)	Loss 1.8779 (1.8105)	Prec@1 55.469 (52.513)	Prec@5 78.906 (81.869)
Epoch: [77][6940/14090]	Time 0.731 (0.752)	Data 0.001 (0.001)	Loss 1.7964 (1.8107)	Prec@1 55.469 (52.510)	Prec@5 81.250 (81.868)
Epoch: [77][6950/14090]	Time 0.730 (0.752)	Data 0.001 (0.001)	Loss 2.0255 (1.8107)	Prec@1 48.438 (52.510)	Prec@5 74.219 (81.868)
Epoch: [77][6960/14090]	Time 0.741 (0.752)	Data 0.001 (0.001)	Loss 1.9726 (1.8108)	Prec@1 53.125 (52.509)	Prec@5 79.688 (81.866)
Epoch: [77][6970/14090]	Time 0.742 (0.752)	Data 0.001 (0.001)	Loss 2.0518 (1.8107)	Prec@1 47.656 (52.509)	Prec@5 74.219 (81.866)
Epoch: [77][6980/14090]	Time 0.765 (0.752)	Data 0.001 (0.001)	Loss 1.7453 (1.8108)	Prec@1 50.781 (52.508)	Prec@5 85.156 (81.864)
Epoch: [77][6990/14090]	Time 0.748 (0.752)	Data 0.001 (0.001)	Loss 1.9043 (1.8108)	Prec@1 51.562 (52.506)	Prec@5 81.250 (81.866)
Epoch: [77][7000/14090]	Time 0.750 (0.752)	Data 0.001 (0.001)	Loss 2.0494 (1.8109)	Prec@1 47.656 (52.503)	Prec@5 76.562 (81.863)
Epoch: [77][7010/14090]	Time 0.740 (0.752)	Data 0.001 (0.001)	Loss 1.9268 (1.8108)	Prec@1 56.250 (52.504)	Prec@5 75.781 (81.863)
Epoch: [77][7020/14090]	Time 0.740 (0.752)	Data 0.001 (0.001)	Loss 1.8268 (1.8107)	Prec@1 53.125 (52.505)	Prec@5 80.469 (81.866)
Epoch: [77][7030/14090]	Time 0.735 (0.752)	Data 0.001 (0.001)	Loss 1.9986 (1.8107)	Prec@1 43.750 (52.505)	Prec@5 78.125 (81.868)
Epoch: [77][7040/14090]	Time 0.733 (0.752)	Data 0.001 (0.001)	Loss 1.8571 (1.8108)	Prec@1 50.000 (52.503)	Prec@5 82.812 (81.867)
Epoch: [77][7050/14090]	Time 0.752 (0.752)	Data 0.001 (0.001)	Loss 1.9699 (1.8108)	Prec@1 48.438 (52.504)	Prec@5 76.562 (81.867)
Epoch: [77][7060/14090]	Time 0.733 (0.752)	Data 0.001 (0.001)	Loss 1.3665 (1.8107)	Prec@1 64.062 (52.507)	Prec@5 89.062 (81.868)
Epoch: [77][7070/14090]	Time 0.762 (0.752)	Data 0.001 (0.001)	Loss 1.8079 (1.8106)	Prec@1 50.000 (52.507)	Prec@5 81.250 (81.870)
Epoch: [77][7080/14090]	Time 0.754 (0.752)	Data 0.001 (0.001)	Loss 1.9709 (1.8107)	Prec@1 49.219 (52.504)	Prec@5 81.250 (81.869)
Epoch: [77][7090/14090]	Time 0.755 (0.752)	Data 0.001 (0.001)	Loss 1.9539 (1.8108)	Prec@1 50.000 (52.502)	Prec@5 78.906 (81.868)
Epoch: [77][7100/14090]	Time 0.727 (0.752)	Data 0.001 (0.001)	Loss 1.8817 (1.8109)	Prec@1 50.000 (52.498)	Prec@5 77.344 (81.865)
Epoch: [77][7110/14090]	Time 0.764 (0.752)	Data 0.001 (0.001)	Loss 1.7481 (1.8110)	Prec@1 57.031 (52.499)	Prec@5 81.250 (81.863)
Epoch: [77][7120/14090]	Time 0.736 (0.752)	Data 0.001 (0.001)	Loss 1.5356 (1.8109)	Prec@1 53.125 (52.499)	Prec@5 88.281 (81.865)
Epoch: [77][7130/14090]	Time 0.750 (0.752)	Data 0.001 (0.001)	Loss 1.5893 (1.8109)	Prec@1 61.719 (52.500)	Prec@5 87.500 (81.865)
Epoch: [77][7140/14090]	Time 0.749 (0.752)	Data 0.001 (0.001)	Loss 2.1792 (1.8110)	Prec@1 47.656 (52.499)	Prec@5 77.344 (81.864)
Epoch: [77][7150/14090]	Time 0.754 (0.752)	Data 0.001 (0.001)	Loss 1.8816 (1.8110)	Prec@1 51.562 (52.500)	Prec@5 79.688 (81.865)
Epoch: [77][7160/14090]	Time 0.731 (0.752)	Data 0.001 (0.001)	Loss 1.7956 (1.8110)	Prec@1 53.125 (52.500)	Prec@5 82.812 (81.865)
Epoch: [77][7170/14090]	Time 0.777 (0.752)	Data 0.001 (0.001)	Loss 1.7745 (1.8110)	Prec@1 53.906 (52.501)	Prec@5 82.031 (81.864)
Epoch: [77][7180/14090]	Time 0.751 (0.752)	Data 0.001 (0.001)	Loss 1.8254 (1.8108)	Prec@1 46.875 (52.503)	Prec@5 82.031 (81.866)
Epoch: [77][7190/14090]	Time 0.749 (0.752)	Data 0.001 (0.001)	Loss 1.6752 (1.8108)	Prec@1 51.562 (52.505)	Prec@5 83.594 (81.866)
Epoch: [77][7200/14090]	Time 0.752 (0.752)	Data 0.001 (0.001)	Loss 1.6946 (1.8106)	Prec@1 56.250 (52.509)	Prec@5 82.031 (81.869)
Epoch: [77][7210/14090]	Time 0.741 (0.752)	Data 0.001 (0.001)	Loss 1.7847 (1.8105)	Prec@1 53.906 (52.509)	Prec@5 78.125 (81.871)
Epoch: [77][7220/14090]	Time 0.735 (0.752)	Data 0.001 (0.001)	Loss 1.7228 (1.8105)	Prec@1 56.250 (52.508)	Prec@5 78.906 (81.870)
Epoch: [77][7230/14090]	Time 0.765 (0.752)	Data 0.001 (0.001)	Loss 1.6140 (1.8105)	Prec@1 56.250 (52.509)	Prec@5 83.594 (81.870)
Epoch: [77][7240/14090]	Time 0.720 (0.752)	Data 0.001 (0.001)	Loss 2.1315 (1.8106)	Prec@1 46.094 (52.509)	Prec@5 75.781 (81.869)
Epoch: [77][7250/14090]	Time 0.728 (0.752)	Data 0.001 (0.001)	Loss 1.8684 (1.8106)	Prec@1 53.125 (52.509)	Prec@5 81.250 (81.868)
Epoch: [77][7260/14090]	Time 0.746 (0.752)	Data 0.001 (0.001)	Loss 1.9061 (1.8107)	Prec@1 53.906 (52.506)	Prec@5 81.250 (81.866)
Epoch: [77][7270/14090]	Time 0.757 (0.752)	Data 0.001 (0.001)	Loss 1.8893 (1.8108)	Prec@1 53.125 (52.503)	Prec@5 83.594 (81.865)
Epoch: [77][7280/14090]	Time 0.764 (0.752)	Data 0.001 (0.001)	Loss 1.7290 (1.8108)	Prec@1 57.031 (52.503)	Prec@5 85.938 (81.863)
Epoch: [77][7290/14090]	Time 0.737 (0.752)	Data 0.001 (0.001)	Loss 1.7045 (1.8108)	Prec@1 51.562 (52.504)	Prec@5 82.812 (81.862)
Epoch: [77][7300/14090]	Time 0.756 (0.752)	Data 0.001 (0.001)	Loss 1.5487 (1.8107)	Prec@1 57.031 (52.504)	Prec@5 87.500 (81.864)
Epoch: [77][7310/14090]	Time 0.754 (0.752)	Data 0.001 (0.001)	Loss 1.9302 (1.8107)	Prec@1 47.656 (52.504)	Prec@5 78.906 (81.864)
Epoch: [77][7320/14090]	Time 0.731 (0.752)	Data 0.001 (0.001)	Loss 1.6440 (1.8106)	Prec@1 60.156 (52.509)	Prec@5 85.156 (81.866)
Epoch: [77][7330/14090]	Time 0.731 (0.752)	Data 0.001 (0.001)	Loss 1.8324 (1.8105)	Prec@1 48.438 (52.510)	Prec@5 79.688 (81.865)
Epoch: [77][7340/14090]	Time 0.753 (0.752)	Data 0.001 (0.001)	Loss 1.7726 (1.8105)	Prec@1 53.906 (52.508)	Prec@5 82.812 (81.866)
Epoch: [77][7350/14090]	Time 0.752 (0.752)	Data 0.001 (0.001)	Loss 1.8632 (1.8106)	Prec@1 53.125 (52.509)	Prec@5 82.812 (81.867)
Epoch: [77][7360/14090]	Time 0.729 (0.752)	Data 0.001 (0.001)	Loss 1.6677 (1.8105)	Prec@1 53.906 (52.510)	Prec@5 82.812 (81.869)
Epoch: [77][7370/14090]	Time 0.754 (0.752)	Data 0.001 (0.001)	Loss 1.7058 (1.8105)	Prec@1 59.375 (52.512)	Prec@5 81.250 (81.868)
Epoch: [77][7380/14090]	Time 0.734 (0.752)	Data 0.001 (0.001)	Loss 1.9515 (1.8106)	Prec@1 52.344 (52.511)	Prec@5 76.562 (81.867)
Epoch: [77][7390/14090]	Time 0.745 (0.752)	Data 0.001 (0.001)	Loss 1.6832 (1.8106)	Prec@1 57.812 (52.509)	Prec@5 82.812 (81.865)
Epoch: [77][7400/14090]	Time 0.739 (0.752)	Data 0.001 (0.001)	Loss 2.1196 (1.8106)	Prec@1 44.531 (52.508)	Prec@5 74.219 (81.865)
Epoch: [77][7410/14090]	Time 0.735 (0.752)	Data 0.001 (0.001)	Loss 1.5614 (1.8107)	Prec@1 59.375 (52.508)	Prec@5 87.500 (81.864)
Epoch: [77][7420/14090]	Time 0.751 (0.752)	Data 0.001 (0.001)	Loss 1.8850 (1.8108)	Prec@1 52.344 (52.504)	Prec@5 81.250 (81.861)
Epoch: [77][7430/14090]	Time 0.760 (0.752)	Data 0.001 (0.001)	Loss 1.7272 (1.8108)	Prec@1 50.781 (52.501)	Prec@5 83.594 (81.860)
Epoch: [77][7440/14090]	Time 0.740 (0.752)	Data 0.003 (0.001)	Loss 1.8252 (1.8108)	Prec@1 53.125 (52.501)	Prec@5 80.469 (81.863)
Epoch: [77][7450/14090]	Time 0.727 (0.752)	Data 0.001 (0.001)	Loss 1.9688 (1.8108)	Prec@1 47.656 (52.502)	Prec@5 77.344 (81.863)
Epoch: [77][7460/14090]	Time 0.744 (0.752)	Data 0.001 (0.001)	Loss 2.0172 (1.8109)	Prec@1 46.094 (52.501)	Prec@5 78.906 (81.862)
Epoch: [77][7470/14090]	Time 0.747 (0.752)	Data 0.003 (0.001)	Loss 1.9249 (1.8108)	Prec@1 57.031 (52.505)	Prec@5 81.250 (81.863)
Epoch: [77][7480/14090]	Time 0.724 (0.752)	Data 0.001 (0.001)	Loss 1.8161 (1.8109)	Prec@1 52.344 (52.504)	Prec@5 82.812 (81.863)
Epoch: [77][7490/14090]	Time 0.739 (0.752)	Data 0.001 (0.001)	Loss 1.9171 (1.8110)	Prec@1 53.125 (52.502)	Prec@5 78.906 (81.859)
Epoch: [77][7500/14090]	Time 0.725 (0.752)	Data 0.001 (0.001)	Loss 1.7066 (1.8109)	Prec@1 57.031 (52.503)	Prec@5 80.469 (81.860)
Epoch: [77][7510/14090]	Time 0.774 (0.752)	Data 0.001 (0.001)	Loss 1.9725 (1.8109)	Prec@1 46.094 (52.502)	Prec@5 78.906 (81.859)
Epoch: [77][7520/14090]	Time 0.739 (0.752)	Data 0.001 (0.001)	Loss 1.8092 (1.8109)	Prec@1 52.344 (52.505)	Prec@5 81.250 (81.861)
Epoch: [77][7530/14090]	Time 0.729 (0.752)	Data 0.001 (0.001)	Loss 1.7940 (1.8109)	Prec@1 57.031 (52.506)	Prec@5 79.688 (81.861)
Epoch: [77][7540/14090]	Time 0.744 (0.752)	Data 0.001 (0.001)	Loss 1.6782 (1.8108)	Prec@1 53.125 (52.506)	Prec@5 80.469 (81.860)
Epoch: [77][7550/14090]	Time 0.757 (0.752)	Data 0.001 (0.001)	Loss 1.8749 (1.8109)	Prec@1 54.688 (52.505)	Prec@5 82.031 (81.859)
Epoch: [77][7560/14090]	Time 0.743 (0.752)	Data 0.001 (0.001)	Loss 1.9879 (1.8108)	Prec@1 53.125 (52.507)	Prec@5 77.344 (81.859)
Epoch: [77][7570/14090]	Time 0.736 (0.752)	Data 0.001 (0.001)	Loss 1.5928 (1.8108)	Prec@1 59.375 (52.507)	Prec@5 84.375 (81.859)
Epoch: [77][7580/14090]	Time 0.755 (0.752)	Data 0.001 (0.001)	Loss 1.9357 (1.8109)	Prec@1 47.656 (52.507)	Prec@5 78.906 (81.859)
Epoch: [77][7590/14090]	Time 0.760 (0.752)	Data 0.001 (0.001)	Loss 1.7799 (1.8109)	Prec@1 53.906 (52.506)	Prec@5 81.250 (81.859)
Epoch: [77][7600/14090]	Time 0.736 (0.752)	Data 0.001 (0.001)	Loss 2.1263 (1.8110)	Prec@1 46.094 (52.502)	Prec@5 71.875 (81.857)
Epoch: [77][7610/14090]	Time 0.746 (0.752)	Data 0.001 (0.001)	Loss 1.9424 (1.8110)	Prec@1 53.906 (52.503)	Prec@5 79.688 (81.858)
Epoch: [77][7620/14090]	Time 0.721 (0.752)	Data 0.001 (0.001)	Loss 1.6306 (1.8109)	Prec@1 57.031 (52.506)	Prec@5 87.500 (81.859)
Epoch: [77][7630/14090]	Time 0.751 (0.752)	Data 0.001 (0.001)	Loss 1.5387 (1.8110)	Prec@1 54.688 (52.504)	Prec@5 88.281 (81.857)
Epoch: [77][7640/14090]	Time 0.767 (0.752)	Data 0.001 (0.001)	Loss 1.7126 (1.8110)	Prec@1 53.906 (52.504)	Prec@5 82.031 (81.856)
Epoch: [77][7650/14090]	Time 0.731 (0.752)	Data 0.001 (0.001)	Loss 1.7882 (1.8110)	Prec@1 54.688 (52.503)	Prec@5 78.906 (81.857)
Epoch: [77][7660/14090]	Time 0.765 (0.752)	Data 0.001 (0.001)	Loss 1.9303 (1.8109)	Prec@1 51.562 (52.504)	Prec@5 77.344 (81.858)
Epoch: [77][7670/14090]	Time 0.737 (0.752)	Data 0.001 (0.001)	Loss 1.5750 (1.8109)	Prec@1 55.469 (52.505)	Prec@5 88.281 (81.858)
Epoch: [77][7680/14090]	Time 0.729 (0.752)	Data 0.001 (0.001)	Loss 1.7904 (1.8110)	Prec@1 55.469 (52.504)	Prec@5 83.594 (81.859)
Epoch: [77][7690/14090]	Time 0.734 (0.752)	Data 0.001 (0.001)	Loss 1.5640 (1.8111)	Prec@1 55.469 (52.501)	Prec@5 86.719 (81.858)
Epoch: [77][7700/14090]	Time 0.751 (0.752)	Data 0.001 (0.001)	Loss 1.8409 (1.8111)	Prec@1 53.125 (52.499)	Prec@5 78.906 (81.859)
Epoch: [77][7710/14090]	Time 0.736 (0.752)	Data 0.001 (0.001)	Loss 1.8932 (1.8112)	Prec@1 50.781 (52.496)	Prec@5 78.125 (81.857)
Epoch: [77][7720/14090]	Time 0.755 (0.752)	Data 0.001 (0.001)	Loss 1.6294 (1.8113)	Prec@1 50.781 (52.493)	Prec@5 85.156 (81.856)
Epoch: [77][7730/14090]	Time 0.759 (0.752)	Data 0.001 (0.001)	Loss 1.8216 (1.8114)	Prec@1 46.875 (52.490)	Prec@5 85.156 (81.855)
Epoch: [77][7740/14090]	Time 0.753 (0.752)	Data 0.001 (0.001)	Loss 1.8387 (1.8114)	Prec@1 54.688 (52.490)	Prec@5 81.250 (81.856)
Epoch: [77][7750/14090]	Time 0.726 (0.752)	Data 0.001 (0.001)	Loss 1.7383 (1.8113)	Prec@1 54.688 (52.491)	Prec@5 85.156 (81.858)
Epoch: [77][7760/14090]	Time 0.737 (0.752)	Data 0.001 (0.001)	Loss 1.6187 (1.8112)	Prec@1 56.250 (52.489)	Prec@5 88.281 (81.858)
Epoch: [77][7770/14090]	Time 0.759 (0.752)	Data 0.001 (0.001)	Loss 1.9737 (1.8113)	Prec@1 46.094 (52.486)	Prec@5 79.688 (81.857)
Epoch: [77][7780/14090]	Time 0.755 (0.752)	Data 0.001 (0.001)	Loss 1.7874 (1.8112)	Prec@1 51.562 (52.486)	Prec@5 78.906 (81.856)
Epoch: [77][7790/14090]	Time 0.741 (0.752)	Data 0.001 (0.001)	Loss 1.7737 (1.8112)	Prec@1 52.344 (52.487)	Prec@5 84.375 (81.857)
Epoch: [77][7800/14090]	Time 0.738 (0.752)	Data 0.001 (0.001)	Loss 1.8784 (1.8112)	Prec@1 53.125 (52.487)	Prec@5 82.812 (81.858)
Epoch: [77][7810/14090]	Time 0.745 (0.752)	Data 0.001 (0.001)	Loss 1.9553 (1.8113)	Prec@1 49.219 (52.485)	Prec@5 75.781 (81.859)
Epoch: [77][7820/14090]	Time 0.749 (0.752)	Data 0.001 (0.001)	Loss 1.9205 (1.8113)	Prec@1 46.094 (52.482)	Prec@5 80.469 (81.857)
Epoch: [77][7830/14090]	Time 0.743 (0.752)	Data 0.001 (0.001)	Loss 1.7210 (1.8115)	Prec@1 48.438 (52.478)	Prec@5 81.250 (81.855)
Epoch: [77][7840/14090]	Time 0.755 (0.752)	Data 0.001 (0.001)	Loss 1.9138 (1.8114)	Prec@1 53.125 (52.479)	Prec@5 78.906 (81.856)
Epoch: [77][7850/14090]	Time 0.755 (0.752)	Data 0.001 (0.001)	Loss 1.7823 (1.8113)	Prec@1 50.781 (52.479)	Prec@5 85.156 (81.860)
Epoch: [77][7860/14090]	Time 0.770 (0.752)	Data 0.001 (0.001)	Loss 1.5761 (1.8112)	Prec@1 58.594 (52.482)	Prec@5 88.281 (81.861)
Epoch: [77][7870/14090]	Time 0.725 (0.752)	Data 0.001 (0.001)	Loss 1.8746 (1.8113)	Prec@1 51.562 (52.479)	Prec@5 75.781 (81.860)
Epoch: [77][7880/14090]	Time 0.753 (0.752)	Data 0.001 (0.001)	Loss 1.6876 (1.8113)	Prec@1 57.031 (52.481)	Prec@5 83.594 (81.857)
Epoch: [77][7890/14090]	Time 0.735 (0.752)	Data 0.001 (0.001)	Loss 2.0795 (1.8113)	Prec@1 46.875 (52.480)	Prec@5 73.438 (81.856)
Epoch: [77][7900/14090]	Time 0.730 (0.752)	Data 0.001 (0.001)	Loss 1.8731 (1.8114)	Prec@1 50.781 (52.479)	Prec@5 79.688 (81.855)
Epoch: [77][7910/14090]	Time 0.758 (0.752)	Data 0.001 (0.001)	Loss 1.8449 (1.8113)	Prec@1 53.125 (52.482)	Prec@5 81.250 (81.855)
Epoch: [77][7920/14090]	Time 0.745 (0.752)	Data 0.001 (0.001)	Loss 1.7716 (1.8114)	Prec@1 52.344 (52.479)	Prec@5 82.031 (81.854)
Epoch: [77][7930/14090]	Time 0.750 (0.752)	Data 0.001 (0.001)	Loss 2.1766 (1.8115)	Prec@1 50.000 (52.477)	Prec@5 77.344 (81.852)
Epoch: [77][7940/14090]	Time 0.737 (0.752)	Data 0.001 (0.001)	Loss 1.8138 (1.8114)	Prec@1 51.562 (52.479)	Prec@5 82.031 (81.854)
Epoch: [77][7950/14090]	Time 0.768 (0.752)	Data 0.001 (0.001)	Loss 2.0449 (1.8113)	Prec@1 46.094 (52.480)	Prec@5 80.469 (81.855)
Epoch: [77][7960/14090]	Time 0.738 (0.752)	Data 0.001 (0.001)	Loss 1.8897 (1.8114)	Prec@1 48.438 (52.479)	Prec@5 82.812 (81.854)
Epoch: [77][7970/14090]	Time 0.741 (0.752)	Data 0.001 (0.001)	Loss 1.7163 (1.8115)	Prec@1 53.906 (52.476)	Prec@5 81.250 (81.851)
Epoch: [77][7980/14090]	Time 0.739 (0.752)	Data 0.001 (0.001)	Loss 1.7195 (1.8115)	Prec@1 60.156 (52.478)	Prec@5 85.938 (81.852)
Epoch: [77][7990/14090]	Time 0.749 (0.752)	Data 0.001 (0.001)	Loss 1.6532 (1.8114)	Prec@1 54.688 (52.480)	Prec@5 85.938 (81.853)
Epoch: [77][8000/14090]	Time 0.724 (0.752)	Data 0.001 (0.001)	Loss 1.7497 (1.8114)	Prec@1 54.688 (52.481)	Prec@5 82.031 (81.853)
Epoch: [77][8010/14090]	Time 0.753 (0.752)	Data 0.001 (0.001)	Loss 1.7577 (1.8114)	Prec@1 49.219 (52.481)	Prec@5 81.250 (81.852)
Epoch: [77][8020/14090]	Time 0.733 (0.752)	Data 0.001 (0.001)	Loss 1.7408 (1.8114)	Prec@1 55.469 (52.481)	Prec@5 81.250 (81.851)
Epoch: [77][8030/14090]	Time 0.761 (0.752)	Data 0.001 (0.001)	Loss 1.6635 (1.8114)	Prec@1 52.344 (52.479)	Prec@5 82.812 (81.852)
Epoch: [77][8040/14090]	Time 0.735 (0.752)	Data 0.001 (0.001)	Loss 2.0776 (1.8114)	Prec@1 41.406 (52.476)	Prec@5 75.781 (81.853)
Epoch: [77][8050/14090]	Time 0.766 (0.752)	Data 0.001 (0.001)	Loss 1.8396 (1.8114)	Prec@1 57.031 (52.477)	Prec@5 84.375 (81.853)
Epoch: [77][8060/14090]	Time 0.727 (0.752)	Data 0.001 (0.001)	Loss 1.9599 (1.8114)	Prec@1 52.344 (52.477)	Prec@5 80.469 (81.854)
Epoch: [77][8070/14090]	Time 0.729 (0.752)	Data 0.001 (0.001)	Loss 1.7045 (1.8114)	Prec@1 56.250 (52.477)	Prec@5 83.594 (81.856)
Epoch: [77][8080/14090]	Time 0.727 (0.752)	Data 0.001 (0.001)	Loss 2.0053 (1.8114)	Prec@1 46.875 (52.475)	Prec@5 78.906 (81.855)
Epoch: [77][8090/14090]	Time 0.731 (0.752)	Data 0.001 (0.001)	Loss 1.6405 (1.8115)	Prec@1 52.344 (52.474)	Prec@5 79.688 (81.853)
Epoch: [77][8100/14090]	Time 0.739 (0.752)	Data 0.001 (0.001)	Loss 2.0074 (1.8116)	Prec@1 47.656 (52.471)	Prec@5 76.562 (81.851)
Epoch: [77][8110/14090]	Time 0.775 (0.752)	Data 0.001 (0.001)	Loss 1.5873 (1.8115)	Prec@1 61.719 (52.473)	Prec@5 85.938 (81.852)
Epoch: [77][8120/14090]	Time 0.746 (0.752)	Data 0.001 (0.001)	Loss 1.8345 (1.8115)	Prec@1 53.125 (52.473)	Prec@5 77.344 (81.851)
Epoch: [77][8130/14090]	Time 0.761 (0.752)	Data 0.001 (0.001)	Loss 1.7003 (1.8116)	Prec@1 56.250 (52.471)	Prec@5 83.594 (81.849)
Epoch: [77][8140/14090]	Time 0.730 (0.752)	Data 0.001 (0.001)	Loss 2.0085 (1.8117)	Prec@1 52.344 (52.471)	Prec@5 80.469 (81.847)
Epoch: [77][8150/14090]	Time 0.747 (0.752)	Data 0.001 (0.001)	Loss 1.9133 (1.8118)	Prec@1 48.438 (52.466)	Prec@5 81.250 (81.846)
Epoch: [77][8160/14090]	Time 0.758 (0.752)	Data 0.001 (0.001)	Loss 1.7986 (1.8119)	Prec@1 50.000 (52.465)	Prec@5 81.250 (81.843)
Epoch: [77][8170/14090]	Time 0.735 (0.752)	Data 0.001 (0.001)	Loss 1.8561 (1.8119)	Prec@1 47.656 (52.467)	Prec@5 84.375 (81.843)
Epoch: [77][8180/14090]	Time 0.760 (0.752)	Data 0.001 (0.001)	Loss 1.8930 (1.8119)	Prec@1 53.125 (52.466)	Prec@5 78.125 (81.842)
Epoch: [77][8190/14090]	Time 0.729 (0.752)	Data 0.001 (0.001)	Loss 1.9230 (1.8119)	Prec@1 50.781 (52.467)	Prec@5 78.125 (81.843)
Epoch: [77][8200/14090]	Time 0.740 (0.752)	Data 0.001 (0.001)	Loss 1.7222 (1.8119)	Prec@1 58.594 (52.469)	Prec@5 82.812 (81.843)
Epoch: [77][8210/14090]	Time 0.757 (0.752)	Data 0.001 (0.001)	Loss 1.7328 (1.8119)	Prec@1 50.781 (52.469)	Prec@5 85.156 (81.843)
Epoch: [77][8220/14090]	Time 0.742 (0.752)	Data 0.001 (0.001)	Loss 1.8648 (1.8119)	Prec@1 51.562 (52.468)	Prec@5 77.344 (81.843)
Epoch: [77][8230/14090]	Time 0.741 (0.752)	Data 0.001 (0.001)	Loss 1.6240 (1.8120)	Prec@1 59.375 (52.466)	Prec@5 84.375 (81.840)
Epoch: [77][8240/14090]	Time 0.783 (0.752)	Data 0.001 (0.001)	Loss 1.4948 (1.8120)	Prec@1 60.156 (52.467)	Prec@5 90.625 (81.838)
Epoch: [77][8250/14090]	Time 0.730 (0.752)	Data 0.001 (0.001)	Loss 1.7582 (1.8120)	Prec@1 53.906 (52.467)	Prec@5 85.156 (81.838)
Epoch: [77][8260/14090]	Time 0.764 (0.752)	Data 0.001 (0.001)	Loss 1.9294 (1.8120)	Prec@1 50.781 (52.467)	Prec@5 78.125 (81.837)
Epoch: [77][8270/14090]	Time 0.736 (0.752)	Data 0.001 (0.001)	Loss 2.0224 (1.8121)	Prec@1 50.000 (52.465)	Prec@5 78.125 (81.837)
Epoch: [77][8280/14090]	Time 0.734 (0.752)	Data 0.001 (0.001)	Loss 1.7964 (1.8121)	Prec@1 51.562 (52.466)	Prec@5 82.031 (81.838)
Epoch: [77][8290/14090]	Time 0.754 (0.752)	Data 0.001 (0.001)	Loss 1.8431 (1.8121)	Prec@1 51.562 (52.467)	Prec@5 82.031 (81.836)
Epoch: [77][8300/14090]	Time 0.729 (0.751)	Data 0.001 (0.001)	Loss 1.7679 (1.8122)	Prec@1 52.344 (52.468)	Prec@5 80.469 (81.836)
Epoch: [77][8310/14090]	Time 0.737 (0.751)	Data 0.001 (0.001)	Loss 1.7199 (1.8122)	Prec@1 54.688 (52.467)	Prec@5 82.812 (81.835)
Epoch: [77][8320/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 1.9752 (1.8124)	Prec@1 50.781 (52.465)	Prec@5 79.688 (81.831)
Epoch: [77][8330/14090]	Time 0.733 (0.751)	Data 0.001 (0.001)	Loss 1.7520 (1.8125)	Prec@1 53.906 (52.463)	Prec@5 82.031 (81.828)
Epoch: [77][8340/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 1.7277 (1.8125)	Prec@1 53.125 (52.464)	Prec@5 82.031 (81.828)
Epoch: [77][8350/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 1.9826 (1.8125)	Prec@1 42.188 (52.462)	Prec@5 82.031 (81.828)
Epoch: [77][8360/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 1.8605 (1.8124)	Prec@1 50.000 (52.462)	Prec@5 80.469 (81.829)
Epoch: [77][8370/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 1.4806 (1.8123)	Prec@1 56.250 (52.462)	Prec@5 86.719 (81.830)
Epoch: [77][8380/14090]	Time 0.760 (0.751)	Data 0.001 (0.001)	Loss 1.7876 (1.8124)	Prec@1 49.219 (52.460)	Prec@5 82.812 (81.829)
Epoch: [77][8390/14090]	Time 0.764 (0.751)	Data 0.001 (0.001)	Loss 1.8052 (1.8124)	Prec@1 49.219 (52.458)	Prec@5 83.594 (81.829)
Epoch: [77][8400/14090]	Time 0.757 (0.751)	Data 0.001 (0.001)	Loss 1.6584 (1.8124)	Prec@1 59.375 (52.457)	Prec@5 82.031 (81.830)
Epoch: [77][8410/14090]	Time 0.728 (0.751)	Data 0.001 (0.001)	Loss 1.5538 (1.8123)	Prec@1 60.938 (52.459)	Prec@5 87.500 (81.831)
Epoch: [77][8420/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 1.9529 (1.8124)	Prec@1 46.094 (52.458)	Prec@5 80.469 (81.830)
Epoch: [77][8430/14090]	Time 0.757 (0.751)	Data 0.001 (0.001)	Loss 1.6054 (1.8124)	Prec@1 53.906 (52.459)	Prec@5 85.156 (81.831)
Epoch: [77][8440/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 1.9008 (1.8124)	Prec@1 53.906 (52.460)	Prec@5 80.469 (81.830)
Epoch: [77][8450/14090]	Time 0.762 (0.751)	Data 0.001 (0.001)	Loss 1.6320 (1.8123)	Prec@1 52.344 (52.458)	Prec@5 82.031 (81.830)
Epoch: [77][8460/14090]	Time 0.759 (0.751)	Data 0.001 (0.001)	Loss 1.8480 (1.8124)	Prec@1 53.125 (52.457)	Prec@5 81.250 (81.829)
Epoch: [77][8470/14090]	Time 0.741 (0.751)	Data 0.001 (0.001)	Loss 1.8215 (1.8123)	Prec@1 47.656 (52.458)	Prec@5 80.469 (81.830)
Epoch: [77][8480/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 1.7526 (1.8123)	Prec@1 53.125 (52.458)	Prec@5 85.938 (81.828)
Epoch: [77][8490/14090]	Time 0.734 (0.751)	Data 0.001 (0.001)	Loss 1.8218 (1.8123)	Prec@1 49.219 (52.459)	Prec@5 81.250 (81.829)
Epoch: [77][8500/14090]	Time 0.729 (0.751)	Data 0.001 (0.001)	Loss 1.8733 (1.8123)	Prec@1 51.562 (52.460)	Prec@5 78.125 (81.828)
Epoch: [77][8510/14090]	Time 0.779 (0.751)	Data 0.001 (0.001)	Loss 1.9919 (1.8122)	Prec@1 48.438 (52.459)	Prec@5 84.375 (81.829)
Epoch: [77][8520/14090]	Time 0.741 (0.751)	Data 0.001 (0.001)	Loss 1.6420 (1.8123)	Prec@1 57.031 (52.459)	Prec@5 87.500 (81.830)
Epoch: [77][8530/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 1.8897 (1.8123)	Prec@1 48.438 (52.456)	Prec@5 80.469 (81.831)
Epoch: [77][8540/14090]	Time 0.766 (0.751)	Data 0.001 (0.001)	Loss 1.8061 (1.8123)	Prec@1 50.000 (52.455)	Prec@5 82.031 (81.829)
Epoch: [77][8550/14090]	Time 0.742 (0.751)	Data 0.001 (0.001)	Loss 1.5896 (1.8123)	Prec@1 53.906 (52.455)	Prec@5 86.719 (81.830)
Epoch: [77][8560/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 1.8580 (1.8123)	Prec@1 54.688 (52.457)	Prec@5 82.031 (81.832)
Epoch: [77][8570/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 1.5093 (1.8123)	Prec@1 63.281 (52.458)	Prec@5 85.938 (81.832)
Epoch: [77][8580/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 1.7225 (1.8122)	Prec@1 52.344 (52.459)	Prec@5 83.594 (81.831)
Epoch: [77][8590/14090]	Time 0.733 (0.751)	Data 0.001 (0.001)	Loss 1.8525 (1.8123)	Prec@1 52.344 (52.458)	Prec@5 83.594 (81.830)
Epoch: [77][8600/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 1.8496 (1.8124)	Prec@1 57.031 (52.459)	Prec@5 77.344 (81.829)
Epoch: [77][8610/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 1.8212 (1.8124)	Prec@1 54.688 (52.457)	Prec@5 82.031 (81.830)
Epoch: [77][8620/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 1.5402 (1.8124)	Prec@1 57.812 (52.460)	Prec@5 89.062 (81.830)
Epoch: [77][8630/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 1.8582 (1.8124)	Prec@1 53.125 (52.457)	Prec@5 75.781 (81.828)
Epoch: [77][8640/14090]	Time 0.772 (0.751)	Data 0.001 (0.001)	Loss 1.7546 (1.8125)	Prec@1 50.000 (52.456)	Prec@5 84.375 (81.827)
Epoch: [77][8650/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 1.9536 (1.8126)	Prec@1 54.688 (52.456)	Prec@5 82.031 (81.826)
Epoch: [77][8660/14090]	Time 0.728 (0.751)	Data 0.001 (0.001)	Loss 2.1661 (1.8127)	Prec@1 39.062 (52.453)	Prec@5 76.562 (81.825)
Epoch: [77][8670/14090]	Time 0.724 (0.751)	Data 0.001 (0.001)	Loss 1.7135 (1.8126)	Prec@1 51.562 (52.454)	Prec@5 83.594 (81.826)
Epoch: [77][8680/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 1.7641 (1.8125)	Prec@1 53.125 (52.456)	Prec@5 82.812 (81.827)
Epoch: [77][8690/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 1.8749 (1.8125)	Prec@1 50.000 (52.454)	Prec@5 78.125 (81.827)
Epoch: [77][8700/14090]	Time 0.731 (0.751)	Data 0.001 (0.001)	Loss 1.6932 (1.8126)	Prec@1 54.688 (52.453)	Prec@5 82.031 (81.826)
Epoch: [77][8710/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 1.8987 (1.8126)	Prec@1 48.438 (52.452)	Prec@5 80.469 (81.825)
Epoch: [77][8720/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 1.6820 (1.8126)	Prec@1 54.688 (52.453)	Prec@5 83.594 (81.825)
Epoch: [77][8730/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 1.6502 (1.8126)	Prec@1 54.688 (52.453)	Prec@5 85.938 (81.825)
Epoch: [77][8740/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 1.9414 (1.8126)	Prec@1 50.000 (52.453)	Prec@5 77.344 (81.825)
Epoch: [77][8750/14090]	Time 0.764 (0.751)	Data 0.001 (0.001)	Loss 1.8274 (1.8127)	Prec@1 49.219 (52.449)	Prec@5 82.812 (81.824)
Epoch: [77][8760/14090]	Time 0.729 (0.751)	Data 0.001 (0.001)	Loss 1.9955 (1.8127)	Prec@1 48.438 (52.449)	Prec@5 82.031 (81.824)
Epoch: [77][8770/14090]	Time 0.723 (0.751)	Data 0.001 (0.001)	Loss 1.5597 (1.8127)	Prec@1 58.594 (52.450)	Prec@5 82.031 (81.822)
Epoch: [77][8780/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 1.6798 (1.8127)	Prec@1 58.594 (52.451)	Prec@5 83.594 (81.822)
Epoch: [77][8790/14090]	Time 0.757 (0.751)	Data 0.001 (0.001)	Loss 1.9009 (1.8128)	Prec@1 53.906 (52.447)	Prec@5 78.906 (81.821)
Epoch: [77][8800/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 1.8515 (1.8127)	Prec@1 50.000 (52.449)	Prec@5 76.562 (81.821)
Epoch: [77][8810/14090]	Time 0.727 (0.751)	Data 0.001 (0.001)	Loss 1.5705 (1.8126)	Prec@1 57.031 (52.452)	Prec@5 89.062 (81.821)
Epoch: [77][8820/14090]	Time 0.721 (0.751)	Data 0.001 (0.001)	Loss 1.8351 (1.8125)	Prec@1 50.781 (52.455)	Prec@5 84.375 (81.824)
Epoch: [77][8830/14090]	Time 0.770 (0.751)	Data 0.001 (0.001)	Loss 1.7186 (1.8124)	Prec@1 56.250 (52.458)	Prec@5 83.594 (81.825)
Epoch: [77][8840/14090]	Time 0.774 (0.751)	Data 0.001 (0.001)	Loss 1.5837 (1.8124)	Prec@1 54.688 (52.458)	Prec@5 85.938 (81.826)
Epoch: [77][8850/14090]	Time 0.761 (0.751)	Data 0.001 (0.001)	Loss 1.6804 (1.8124)	Prec@1 56.250 (52.458)	Prec@5 85.156 (81.826)
Epoch: [77][8860/14090]	Time 0.764 (0.751)	Data 0.001 (0.001)	Loss 2.1457 (1.8123)	Prec@1 46.094 (52.458)	Prec@5 76.562 (81.826)
Epoch: [77][8870/14090]	Time 0.764 (0.751)	Data 0.001 (0.001)	Loss 1.7768 (1.8124)	Prec@1 50.781 (52.458)	Prec@5 85.938 (81.826)
Epoch: [77][8880/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 1.7838 (1.8124)	Prec@1 51.562 (52.456)	Prec@5 80.469 (81.827)
Epoch: [77][8890/14090]	Time 0.780 (0.751)	Data 0.001 (0.001)	Loss 1.8266 (1.8124)	Prec@1 54.688 (52.457)	Prec@5 80.469 (81.826)
Epoch: [77][8900/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 1.7345 (1.8124)	Prec@1 56.250 (52.458)	Prec@5 82.031 (81.825)
Epoch: [77][8910/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 1.5497 (1.8124)	Prec@1 60.938 (52.459)	Prec@5 89.062 (81.826)
Epoch: [77][8920/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 2.0618 (1.8124)	Prec@1 46.094 (52.458)	Prec@5 78.906 (81.826)
Epoch: [77][8930/14090]	Time 0.768 (0.751)	Data 0.001 (0.001)	Loss 1.9590 (1.8124)	Prec@1 46.875 (52.460)	Prec@5 75.781 (81.825)
Epoch: [77][8940/14090]	Time 0.739 (0.751)	Data 0.001 (0.001)	Loss 1.8739 (1.8124)	Prec@1 54.688 (52.460)	Prec@5 78.125 (81.825)
Epoch: [77][8950/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 1.8443 (1.8124)	Prec@1 54.688 (52.461)	Prec@5 80.469 (81.826)
Epoch: [77][8960/14090]	Time 0.759 (0.751)	Data 0.001 (0.001)	Loss 2.0138 (1.8124)	Prec@1 52.344 (52.461)	Prec@5 75.781 (81.825)
Epoch: [77][8970/14090]	Time 0.733 (0.751)	Data 0.001 (0.001)	Loss 1.6518 (1.8123)	Prec@1 57.031 (52.464)	Prec@5 88.281 (81.827)
Epoch: [77][8980/14090]	Time 0.724 (0.751)	Data 0.001 (0.001)	Loss 1.8363 (1.8123)	Prec@1 57.812 (52.467)	Prec@5 82.031 (81.827)
Epoch: [77][8990/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 1.6876 (1.8123)	Prec@1 56.250 (52.468)	Prec@5 82.812 (81.826)
Epoch: [77][9000/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 2.0591 (1.8124)	Prec@1 41.406 (52.466)	Prec@5 78.125 (81.825)
Epoch: [77][9010/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 1.8371 (1.8125)	Prec@1 52.344 (52.465)	Prec@5 80.469 (81.823)
Epoch: [77][9020/14090]	Time 0.764 (0.751)	Data 0.001 (0.001)	Loss 1.9845 (1.8124)	Prec@1 50.000 (52.467)	Prec@5 83.594 (81.826)
Epoch: [77][9030/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 1.9150 (1.8125)	Prec@1 54.688 (52.466)	Prec@5 83.594 (81.825)
Epoch: [77][9040/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 1.8390 (1.8125)	Prec@1 48.438 (52.465)	Prec@5 84.375 (81.825)
Epoch: [77][9050/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 1.4421 (1.8124)	Prec@1 64.062 (52.466)	Prec@5 87.500 (81.826)
Epoch: [77][9060/14090]	Time 0.743 (0.751)	Data 0.001 (0.001)	Loss 1.9919 (1.8126)	Prec@1 44.531 (52.462)	Prec@5 78.125 (81.824)
Epoch: [77][9070/14090]	Time 0.728 (0.751)	Data 0.001 (0.001)	Loss 1.5524 (1.8126)	Prec@1 59.375 (52.462)	Prec@5 88.281 (81.822)
Epoch: [77][9080/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 1.5883 (1.8127)	Prec@1 53.906 (52.462)	Prec@5 85.156 (81.822)
Epoch: [77][9090/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 1.5670 (1.8127)	Prec@1 56.250 (52.461)	Prec@5 87.500 (81.823)
Epoch: [77][9100/14090]	Time 0.731 (0.751)	Data 0.001 (0.001)	Loss 1.7372 (1.8127)	Prec@1 48.438 (52.460)	Prec@5 83.594 (81.823)
Epoch: [77][9110/14090]	Time 0.728 (0.751)	Data 0.001 (0.001)	Loss 1.8534 (1.8127)	Prec@1 51.562 (52.458)	Prec@5 79.688 (81.821)
Epoch: [77][9120/14090]	Time 0.779 (0.751)	Data 0.001 (0.001)	Loss 1.8563 (1.8127)	Prec@1 51.562 (52.458)	Prec@5 78.125 (81.820)
Epoch: [77][9130/14090]	Time 0.776 (0.751)	Data 0.001 (0.001)	Loss 1.6671 (1.8127)	Prec@1 59.375 (52.458)	Prec@5 84.375 (81.820)
Epoch: [77][9140/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 1.8863 (1.8127)	Prec@1 51.562 (52.458)	Prec@5 77.344 (81.818)
Epoch: [77][9150/14090]	Time 0.737 (0.751)	Data 0.001 (0.001)	Loss 1.6091 (1.8126)	Prec@1 50.781 (52.460)	Prec@5 84.375 (81.820)
Epoch: [77][9160/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 2.0118 (1.8127)	Prec@1 50.000 (52.460)	Prec@5 79.688 (81.820)
Epoch: [77][9170/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 1.6494 (1.8127)	Prec@1 53.906 (52.459)	Prec@5 86.719 (81.820)
Epoch: [77][9180/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 1.7285 (1.8127)	Prec@1 59.375 (52.459)	Prec@5 84.375 (81.820)
Epoch: [77][9190/14090]	Time 0.741 (0.751)	Data 0.001 (0.001)	Loss 1.5904 (1.8127)	Prec@1 55.469 (52.460)	Prec@5 85.938 (81.821)
Epoch: [77][9200/14090]	Time 0.760 (0.751)	Data 0.001 (0.001)	Loss 1.6071 (1.8128)	Prec@1 60.938 (52.459)	Prec@5 86.719 (81.820)
Epoch: [77][9210/14090]	Time 0.757 (0.751)	Data 0.001 (0.001)	Loss 1.8101 (1.8129)	Prec@1 52.344 (52.458)	Prec@5 82.812 (81.820)
Epoch: [77][9220/14090]	Time 0.729 (0.751)	Data 0.001 (0.001)	Loss 1.7103 (1.8128)	Prec@1 59.375 (52.458)	Prec@5 82.812 (81.819)
Epoch: [77][9230/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 1.8601 (1.8129)	Prec@1 53.125 (52.457)	Prec@5 81.250 (81.818)
Epoch: [77][9240/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 1.6456 (1.8130)	Prec@1 55.469 (52.454)	Prec@5 82.812 (81.817)
Epoch: [77][9250/14090]	Time 0.741 (0.751)	Data 0.001 (0.001)	Loss 1.8877 (1.8130)	Prec@1 54.688 (52.456)	Prec@5 81.250 (81.818)
Epoch: [77][9260/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 1.8145 (1.8129)	Prec@1 58.594 (52.458)	Prec@5 80.469 (81.819)
Epoch: [77][9270/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 1.9437 (1.8129)	Prec@1 50.000 (52.458)	Prec@5 80.469 (81.819)
Epoch: [77][9280/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 1.6149 (1.8128)	Prec@1 56.250 (52.461)	Prec@5 85.156 (81.820)
Epoch: [77][9290/14090]	Time 0.726 (0.751)	Data 0.001 (0.001)	Loss 1.7120 (1.8128)	Prec@1 56.250 (52.459)	Prec@5 84.375 (81.821)
Epoch: [77][9300/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 2.0389 (1.8128)	Prec@1 46.094 (52.458)	Prec@5 78.906 (81.821)
Epoch: [77][9310/14090]	Time 0.740 (0.751)	Data 0.001 (0.001)	Loss 1.8393 (1.8129)	Prec@1 48.438 (52.456)	Prec@5 79.688 (81.822)
Epoch: [77][9320/14090]	Time 0.742 (0.751)	Data 0.001 (0.001)	Loss 1.7778 (1.8129)	Prec@1 57.031 (52.459)	Prec@5 83.594 (81.823)
Epoch: [77][9330/14090]	Time 0.762 (0.751)	Data 0.001 (0.001)	Loss 2.0679 (1.8129)	Prec@1 47.656 (52.458)	Prec@5 72.656 (81.823)
Epoch: [77][9340/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 1.7973 (1.8130)	Prec@1 45.312 (52.457)	Prec@5 82.031 (81.822)
Epoch: [77][9350/14090]	Time 0.759 (0.751)	Data 0.001 (0.001)	Loss 1.8138 (1.8130)	Prec@1 56.250 (52.458)	Prec@5 83.594 (81.822)
Epoch: [77][9360/14090]	Time 0.730 (0.751)	Data 0.001 (0.001)	Loss 1.9941 (1.8130)	Prec@1 44.531 (52.456)	Prec@5 78.906 (81.822)
Epoch: [77][9370/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 1.8883 (1.8130)	Prec@1 43.750 (52.455)	Prec@5 78.125 (81.819)
Epoch: [77][9380/14090]	Time 0.741 (0.751)	Data 0.001 (0.001)	Loss 1.8703 (1.8131)	Prec@1 52.344 (52.455)	Prec@5 80.469 (81.819)
Epoch: [77][9390/14090]	Time 0.743 (0.751)	Data 0.001 (0.001)	Loss 1.8939 (1.8131)	Prec@1 48.438 (52.454)	Prec@5 80.469 (81.819)
Epoch: [77][9400/14090]	Time 0.757 (0.751)	Data 0.001 (0.001)	Loss 1.8301 (1.8131)	Prec@1 54.688 (52.455)	Prec@5 81.250 (81.818)
Epoch: [77][9410/14090]	Time 0.763 (0.751)	Data 0.001 (0.001)	Loss 2.0596 (1.8131)	Prec@1 46.094 (52.453)	Prec@5 78.906 (81.817)
Epoch: [77][9420/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 2.1159 (1.8132)	Prec@1 46.875 (52.452)	Prec@5 71.094 (81.816)
Epoch: [77][9430/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 1.8951 (1.8131)	Prec@1 51.562 (52.452)	Prec@5 79.688 (81.817)
Epoch: [77][9440/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 1.6230 (1.8131)	Prec@1 58.594 (52.450)	Prec@5 86.719 (81.817)
Epoch: [77][9450/14090]	Time 0.733 (0.751)	Data 0.001 (0.001)	Loss 1.7917 (1.8132)	Prec@1 50.781 (52.448)	Prec@5 82.031 (81.817)
Epoch: [77][9460/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 1.7661 (1.8132)	Prec@1 51.562 (52.447)	Prec@5 86.719 (81.816)
Epoch: [77][9470/14090]	Time 0.764 (0.751)	Data 0.001 (0.001)	Loss 1.6511 (1.8132)	Prec@1 53.125 (52.448)	Prec@5 84.375 (81.817)
Epoch: [77][9480/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 1.9538 (1.8133)	Prec@1 48.438 (52.443)	Prec@5 80.469 (81.816)
Epoch: [77][9490/14090]	Time 0.741 (0.751)	Data 0.001 (0.001)	Loss 1.6434 (1.8133)	Prec@1 60.938 (52.444)	Prec@5 84.375 (81.817)
Epoch: [77][9500/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 1.9690 (1.8133)	Prec@1 47.656 (52.442)	Prec@5 78.125 (81.816)
Epoch: [77][9510/14090]	Time 0.728 (0.751)	Data 0.001 (0.001)	Loss 1.7315 (1.8132)	Prec@1 59.375 (52.444)	Prec@5 82.812 (81.817)
Epoch: [77][9520/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 2.0879 (1.8132)	Prec@1 48.438 (52.445)	Prec@5 78.906 (81.817)
Epoch: [77][9530/14090]	Time 0.728 (0.751)	Data 0.001 (0.001)	Loss 1.7096 (1.8132)	Prec@1 52.344 (52.444)	Prec@5 82.031 (81.818)
Epoch: [77][9540/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 1.5611 (1.8132)	Prec@1 60.938 (52.446)	Prec@5 88.281 (81.818)
Epoch: [77][9550/14090]	Time 0.777 (0.751)	Data 0.001 (0.001)	Loss 1.7635 (1.8132)	Prec@1 53.906 (52.445)	Prec@5 80.469 (81.817)
Epoch: [77][9560/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 1.8162 (1.8132)	Prec@1 55.469 (52.445)	Prec@5 78.125 (81.818)
Epoch: [77][9570/14090]	Time 0.727 (0.751)	Data 0.001 (0.001)	Loss 2.0248 (1.8132)	Prec@1 44.531 (52.442)	Prec@5 79.688 (81.818)
Epoch: [77][9580/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 1.7667 (1.8132)	Prec@1 50.000 (52.443)	Prec@5 85.156 (81.819)
Epoch: [77][9590/14090]	Time 0.769 (0.751)	Data 0.001 (0.001)	Loss 1.9073 (1.8131)	Prec@1 51.562 (52.444)	Prec@5 80.469 (81.820)
Epoch: [77][9600/14090]	Time 0.731 (0.751)	Data 0.001 (0.001)	Loss 1.7120 (1.8131)	Prec@1 53.125 (52.445)	Prec@5 85.938 (81.821)
Epoch: [77][9610/14090]	Time 0.727 (0.751)	Data 0.001 (0.001)	Loss 1.9227 (1.8131)	Prec@1 53.125 (52.445)	Prec@5 78.125 (81.821)
Epoch: [77][9620/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 1.6772 (1.8131)	Prec@1 57.031 (52.445)	Prec@5 86.719 (81.822)
Epoch: [77][9630/14090]	Time 0.759 (0.751)	Data 0.001 (0.001)	Loss 1.7162 (1.8131)	Prec@1 46.875 (52.444)	Prec@5 85.156 (81.824)
Epoch: [77][9640/14090]	Time 0.739 (0.751)	Data 0.001 (0.001)	Loss 1.7384 (1.8130)	Prec@1 57.812 (52.446)	Prec@5 79.688 (81.824)
Epoch: [77][9650/14090]	Time 0.770 (0.751)	Data 0.001 (0.001)	Loss 1.9329 (1.8130)	Prec@1 50.000 (52.446)	Prec@5 78.125 (81.825)
Epoch: [77][9660/14090]	Time 0.730 (0.751)	Data 0.001 (0.001)	Loss 1.8137 (1.8130)	Prec@1 46.875 (52.445)	Prec@5 79.688 (81.823)
Epoch: [77][9670/14090]	Time 0.773 (0.751)	Data 0.001 (0.001)	Loss 1.7080 (1.8129)	Prec@1 54.688 (52.447)	Prec@5 83.594 (81.825)
Epoch: [77][9680/14090]	Time 0.741 (0.751)	Data 0.001 (0.001)	Loss 2.1526 (1.8130)	Prec@1 50.000 (52.449)	Prec@5 71.094 (81.825)
Epoch: [77][9690/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 1.6887 (1.8130)	Prec@1 53.906 (52.448)	Prec@5 84.375 (81.824)
Epoch: [77][9700/14090]	Time 0.769 (0.751)	Data 0.001 (0.001)	Loss 1.9082 (1.8131)	Prec@1 50.000 (52.446)	Prec@5 81.250 (81.823)
Epoch: [77][9710/14090]	Time 0.757 (0.751)	Data 0.001 (0.001)	Loss 1.7092 (1.8131)	Prec@1 54.688 (52.444)	Prec@5 83.594 (81.823)
Epoch: [77][9720/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 1.5608 (1.8131)	Prec@1 54.688 (52.445)	Prec@5 85.938 (81.823)
Epoch: [77][9730/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 1.6419 (1.8131)	Prec@1 51.562 (52.443)	Prec@5 82.031 (81.824)
Epoch: [77][9740/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 1.6250 (1.8131)	Prec@1 53.906 (52.442)	Prec@5 85.156 (81.824)
Epoch: [77][9750/14090]	Time 0.782 (0.751)	Data 0.001 (0.001)	Loss 1.7047 (1.8131)	Prec@1 54.688 (52.442)	Prec@5 78.125 (81.823)
Epoch: [77][9760/14090]	Time 0.767 (0.751)	Data 0.001 (0.001)	Loss 1.9088 (1.8131)	Prec@1 42.969 (52.442)	Prec@5 83.594 (81.823)
Epoch: [77][9770/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 1.8078 (1.8131)	Prec@1 50.781 (52.443)	Prec@5 79.688 (81.823)
Epoch: [77][9780/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 1.8578 (1.8131)	Prec@1 49.219 (52.443)	Prec@5 82.031 (81.823)
Epoch: [77][9790/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 1.7711 (1.8131)	Prec@1 50.781 (52.442)	Prec@5 83.594 (81.823)
Epoch: [77][9800/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 1.9421 (1.8132)	Prec@1 45.312 (52.440)	Prec@5 79.688 (81.822)
Epoch: [77][9810/14090]	Time 0.867 (0.751)	Data 0.001 (0.001)	Loss 1.5257 (1.8132)	Prec@1 57.031 (52.439)	Prec@5 86.719 (81.823)
Epoch: [77][9820/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 1.5315 (1.8133)	Prec@1 56.250 (52.438)	Prec@5 86.719 (81.823)
Epoch: [77][9830/14090]	Time 0.760 (0.751)	Data 0.001 (0.001)	Loss 1.9599 (1.8134)	Prec@1 50.781 (52.438)	Prec@5 76.562 (81.821)
Epoch: [77][9840/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 1.9761 (1.8134)	Prec@1 51.562 (52.436)	Prec@5 75.781 (81.821)
Epoch: [77][9850/14090]	Time 0.759 (0.751)	Data 0.001 (0.001)	Loss 1.7191 (1.8134)	Prec@1 57.031 (52.436)	Prec@5 84.375 (81.820)
Epoch: [77][9860/14090]	Time 0.737 (0.751)	Data 0.001 (0.001)	Loss 1.9037 (1.8133)	Prec@1 47.656 (52.437)	Prec@5 81.250 (81.819)
Epoch: [77][9870/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 1.7361 (1.8135)	Prec@1 59.375 (52.437)	Prec@5 84.375 (81.818)
Epoch: [77][9880/14090]	Time 0.734 (0.751)	Data 0.001 (0.001)	Loss 2.0616 (1.8135)	Prec@1 50.781 (52.437)	Prec@5 76.562 (81.816)
Epoch: [77][9890/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 1.7475 (1.8135)	Prec@1 54.688 (52.438)	Prec@5 85.156 (81.816)
Epoch: [77][9900/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 1.5686 (1.8135)	Prec@1 58.594 (52.439)	Prec@5 85.938 (81.816)
Epoch: [77][9910/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 1.8260 (1.8135)	Prec@1 54.688 (52.437)	Prec@5 81.250 (81.815)
Epoch: [77][9920/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 1.6876 (1.8135)	Prec@1 52.344 (52.436)	Prec@5 86.719 (81.816)
Epoch: [77][9930/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 1.7248 (1.8135)	Prec@1 57.812 (52.434)	Prec@5 82.812 (81.815)
Epoch: [77][9940/14090]	Time 0.742 (0.751)	Data 0.001 (0.001)	Loss 1.7534 (1.8136)	Prec@1 54.688 (52.433)	Prec@5 83.594 (81.814)
Epoch: [77][9950/14090]	Time 0.730 (0.751)	Data 0.001 (0.001)	Loss 1.7869 (1.8135)	Prec@1 57.031 (52.435)	Prec@5 81.250 (81.815)
Epoch: [77][9960/14090]	Time 0.731 (0.751)	Data 0.001 (0.001)	Loss 2.0908 (1.8136)	Prec@1 48.438 (52.435)	Prec@5 77.344 (81.813)
Epoch: [77][9970/14090]	Time 0.764 (0.751)	Data 0.001 (0.001)	Loss 1.9214 (1.8135)	Prec@1 52.344 (52.435)	Prec@5 81.250 (81.815)
Epoch: [77][9980/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 1.7326 (1.8135)	Prec@1 52.344 (52.437)	Prec@5 85.938 (81.816)
Epoch: [77][9990/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 1.6107 (1.8135)	Prec@1 60.156 (52.438)	Prec@5 85.938 (81.815)
Epoch: [77][10000/14090]	Time 0.740 (0.751)	Data 0.001 (0.001)	Loss 1.8851 (1.8136)	Prec@1 49.219 (52.434)	Prec@5 77.344 (81.815)
Epoch: [77][10010/14090]	Time 0.734 (0.751)	Data 0.001 (0.001)	Loss 1.8064 (1.8136)	Prec@1 50.781 (52.436)	Prec@5 85.938 (81.816)
Epoch: [77][10020/14090]	Time 0.740 (0.751)	Data 0.001 (0.001)	Loss 2.0692 (1.8136)	Prec@1 46.094 (52.435)	Prec@5 75.781 (81.815)
Epoch: [77][10030/14090]	Time 0.759 (0.751)	Data 0.001 (0.001)	Loss 1.8697 (1.8135)	Prec@1 53.125 (52.438)	Prec@5 81.250 (81.817)
Epoch: [77][10040/14090]	Time 0.784 (0.751)	Data 0.001 (0.001)	Loss 1.9583 (1.8135)	Prec@1 45.312 (52.438)	Prec@5 81.250 (81.817)
Epoch: [77][10050/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 2.1526 (1.8135)	Prec@1 45.312 (52.437)	Prec@5 78.125 (81.816)
Epoch: [77][10060/14090]	Time 0.740 (0.751)	Data 0.001 (0.001)	Loss 2.0710 (1.8136)	Prec@1 46.875 (52.437)	Prec@5 75.781 (81.815)
Epoch: [77][10070/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 1.7034 (1.8136)	Prec@1 58.594 (52.437)	Prec@5 82.812 (81.816)
Epoch: [77][10080/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 1.7324 (1.8135)	Prec@1 53.125 (52.438)	Prec@5 82.031 (81.815)
Epoch: [77][10090/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 1.6684 (1.8136)	Prec@1 51.562 (52.436)	Prec@5 83.594 (81.815)
Epoch: [77][10100/14090]	Time 0.757 (0.751)	Data 0.001 (0.001)	Loss 1.8311 (1.8135)	Prec@1 52.344 (52.437)	Prec@5 82.812 (81.817)
Epoch: [77][10110/14090]	Time 0.763 (0.751)	Data 0.001 (0.001)	Loss 1.8860 (1.8135)	Prec@1 52.344 (52.438)	Prec@5 78.125 (81.817)
Epoch: [77][10120/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 2.0739 (1.8135)	Prec@1 48.438 (52.439)	Prec@5 74.219 (81.817)
Epoch: [77][10130/14090]	Time 0.737 (0.751)	Data 0.001 (0.001)	Loss 1.6217 (1.8135)	Prec@1 52.344 (52.439)	Prec@5 85.156 (81.816)
Epoch: [77][10140/14090]	Time 0.807 (0.751)	Data 0.001 (0.001)	Loss 1.9819 (1.8135)	Prec@1 48.438 (52.440)	Prec@5 84.375 (81.815)
Epoch: [77][10150/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 1.8375 (1.8136)	Prec@1 50.781 (52.437)	Prec@5 85.938 (81.814)
Epoch: [77][10160/14090]	Time 0.835 (0.751)	Data 0.001 (0.001)	Loss 2.2143 (1.8136)	Prec@1 43.750 (52.436)	Prec@5 75.781 (81.815)
Epoch: [77][10170/14090]	Time 0.734 (0.751)	Data 0.001 (0.001)	Loss 1.7480 (1.8136)	Prec@1 59.375 (52.437)	Prec@5 80.469 (81.814)
Epoch: [77][10180/14090]	Time 0.765 (0.751)	Data 0.001 (0.001)	Loss 1.7537 (1.8135)	Prec@1 56.250 (52.439)	Prec@5 83.594 (81.817)
Epoch: [77][10190/14090]	Time 0.741 (0.751)	Data 0.001 (0.001)	Loss 1.8275 (1.8135)	Prec@1 50.781 (52.437)	Prec@5 78.125 (81.817)
Epoch: [77][10200/14090]	Time 0.760 (0.751)	Data 0.001 (0.001)	Loss 1.8009 (1.8136)	Prec@1 53.906 (52.434)	Prec@5 79.688 (81.814)
Epoch: [77][10210/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 1.7674 (1.8137)	Prec@1 58.594 (52.433)	Prec@5 78.125 (81.812)
Epoch: [77][10220/14090]	Time 0.760 (0.751)	Data 0.001 (0.001)	Loss 1.7395 (1.8137)	Prec@1 50.000 (52.433)	Prec@5 82.031 (81.810)
Epoch: [77][10230/14090]	Time 0.734 (0.751)	Data 0.001 (0.001)	Loss 1.6192 (1.8138)	Prec@1 58.594 (52.433)	Prec@5 85.156 (81.809)
Epoch: [77][10240/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 1.9450 (1.8138)	Prec@1 42.969 (52.433)	Prec@5 82.812 (81.809)
Epoch: [77][10250/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 1.8634 (1.8138)	Prec@1 50.781 (52.433)	Prec@5 82.812 (81.809)
Epoch: [77][10260/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 1.9116 (1.8138)	Prec@1 50.000 (52.432)	Prec@5 82.031 (81.807)
Epoch: [77][10270/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 1.8538 (1.8138)	Prec@1 53.125 (52.431)	Prec@5 82.812 (81.807)
Epoch: [77][10280/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 1.8073 (1.8139)	Prec@1 55.469 (52.430)	Prec@5 83.594 (81.807)
Epoch: [77][10290/14090]	Time 0.737 (0.751)	Data 0.001 (0.001)	Loss 1.9167 (1.8139)	Prec@1 53.125 (52.429)	Prec@5 82.031 (81.805)
Epoch: [77][10300/14090]	Time 0.727 (0.751)	Data 0.001 (0.001)	Loss 1.6031 (1.8140)	Prec@1 56.250 (52.428)	Prec@5 86.719 (81.804)
Epoch: [77][10310/14090]	Time 0.740 (0.751)	Data 0.001 (0.001)	Loss 2.0064 (1.8140)	Prec@1 51.562 (52.429)	Prec@5 81.250 (81.804)
Epoch: [77][10320/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 1.5661 (1.8140)	Prec@1 54.688 (52.428)	Prec@5 87.500 (81.804)
Epoch: [77][10330/14090]	Time 0.767 (0.751)	Data 0.001 (0.001)	Loss 1.9600 (1.8139)	Prec@1 46.875 (52.428)	Prec@5 75.781 (81.803)
Epoch: [77][10340/14090]	Time 0.720 (0.751)	Data 0.001 (0.001)	Loss 1.9547 (1.8139)	Prec@1 53.125 (52.427)	Prec@5 82.031 (81.803)
Epoch: [77][10350/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 2.4030 (1.8140)	Prec@1 39.844 (52.424)	Prec@5 75.000 (81.802)
Epoch: [77][10360/14090]	Time 0.769 (0.751)	Data 0.001 (0.001)	Loss 1.5863 (1.8139)	Prec@1 57.031 (52.427)	Prec@5 85.156 (81.803)
Epoch: [77][10370/14090]	Time 0.773 (0.751)	Data 0.001 (0.001)	Loss 1.6022 (1.8139)	Prec@1 57.031 (52.427)	Prec@5 85.938 (81.806)
Epoch: [77][10380/14090]	Time 0.763 (0.751)	Data 0.001 (0.001)	Loss 1.5961 (1.8138)	Prec@1 52.344 (52.427)	Prec@5 85.156 (81.807)
Epoch: [77][10390/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 1.5831 (1.8138)	Prec@1 56.250 (52.427)	Prec@5 85.938 (81.807)
Epoch: [77][10400/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 1.8531 (1.8138)	Prec@1 50.000 (52.427)	Prec@5 79.688 (81.808)
Epoch: [77][10410/14090]	Time 0.728 (0.751)	Data 0.001 (0.001)	Loss 1.6753 (1.8137)	Prec@1 57.031 (52.427)	Prec@5 84.375 (81.810)
Epoch: [77][10420/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 1.6415 (1.8137)	Prec@1 60.156 (52.428)	Prec@5 86.719 (81.809)
Epoch: [77][10430/14090]	Time 0.801 (0.751)	Data 0.001 (0.001)	Loss 2.0928 (1.8138)	Prec@1 47.656 (52.425)	Prec@5 78.906 (81.809)
Epoch: [77][10440/14090]	Time 0.772 (0.751)	Data 0.001 (0.001)	Loss 1.7458 (1.8138)	Prec@1 55.469 (52.425)	Prec@5 85.156 (81.808)
Epoch: [77][10450/14090]	Time 0.740 (0.751)	Data 0.001 (0.001)	Loss 1.7796 (1.8138)	Prec@1 52.344 (52.425)	Prec@5 85.938 (81.809)
Epoch: [77][10460/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 1.8175 (1.8139)	Prec@1 49.219 (52.425)	Prec@5 85.156 (81.808)
Epoch: [77][10470/14090]	Time 0.760 (0.751)	Data 0.001 (0.001)	Loss 1.8995 (1.8140)	Prec@1 51.562 (52.423)	Prec@5 82.812 (81.806)
Epoch: [77][10480/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 1.8805 (1.8140)	Prec@1 47.656 (52.423)	Prec@5 82.031 (81.807)
Epoch: [77][10490/14090]	Time 0.757 (0.751)	Data 0.001 (0.001)	Loss 1.7206 (1.8141)	Prec@1 50.000 (52.421)	Prec@5 84.375 (81.806)
Epoch: [77][10500/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 1.9423 (1.8141)	Prec@1 50.000 (52.420)	Prec@5 79.688 (81.806)
Epoch: [77][10510/14090]	Time 0.772 (0.751)	Data 0.001 (0.001)	Loss 1.6221 (1.8141)	Prec@1 56.250 (52.421)	Prec@5 85.156 (81.805)
Epoch: [77][10520/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 1.7741 (1.8141)	Prec@1 53.125 (52.421)	Prec@5 85.938 (81.805)
Epoch: [77][10530/14090]	Time 0.760 (0.751)	Data 0.001 (0.001)	Loss 1.8271 (1.8140)	Prec@1 53.125 (52.420)	Prec@5 82.031 (81.806)
Epoch: [77][10540/14090]	Time 0.767 (0.751)	Data 0.001 (0.001)	Loss 1.6581 (1.8140)	Prec@1 59.375 (52.420)	Prec@5 80.469 (81.805)
Epoch: [77][10550/14090]	Time 0.733 (0.751)	Data 0.001 (0.001)	Loss 1.8087 (1.8140)	Prec@1 49.219 (52.420)	Prec@5 82.812 (81.806)
Epoch: [77][10560/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 1.9234 (1.8140)	Prec@1 50.000 (52.420)	Prec@5 78.125 (81.805)
Epoch: [77][10570/14090]	Time 0.757 (0.751)	Data 0.001 (0.001)	Loss 1.9245 (1.8139)	Prec@1 47.656 (52.421)	Prec@5 78.906 (81.807)
Epoch: [77][10580/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 1.8542 (1.8140)	Prec@1 53.906 (52.420)	Prec@5 81.250 (81.805)
Epoch: [77][10590/14090]	Time 0.749 (0.751)	Data 0.002 (0.001)	Loss 2.0332 (1.8141)	Prec@1 46.875 (52.418)	Prec@5 76.562 (81.804)
Epoch: [77][10600/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 1.7926 (1.8140)	Prec@1 53.906 (52.420)	Prec@5 80.469 (81.804)
Epoch: [77][10610/14090]	Time 0.721 (0.751)	Data 0.001 (0.001)	Loss 1.8876 (1.8140)	Prec@1 48.438 (52.420)	Prec@5 81.250 (81.806)
Epoch: [77][10620/14090]	Time 0.722 (0.751)	Data 0.001 (0.001)	Loss 1.7221 (1.8140)	Prec@1 55.469 (52.419)	Prec@5 85.156 (81.804)
Epoch: [77][10630/14090]	Time 0.741 (0.751)	Data 0.001 (0.001)	Loss 2.0970 (1.8141)	Prec@1 38.281 (52.416)	Prec@5 80.469 (81.803)
Epoch: [77][10640/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 1.8076 (1.8142)	Prec@1 53.125 (52.415)	Prec@5 82.812 (81.802)
Epoch: [77][10650/14090]	Time 0.765 (0.751)	Data 0.001 (0.001)	Loss 2.1503 (1.8142)	Prec@1 43.750 (52.415)	Prec@5 75.781 (81.801)
Epoch: [77][10660/14090]	Time 0.757 (0.751)	Data 0.002 (0.001)	Loss 1.9127 (1.8143)	Prec@1 54.688 (52.414)	Prec@5 82.812 (81.800)
Epoch: [77][10670/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 1.7394 (1.8143)	Prec@1 53.125 (52.412)	Prec@5 82.031 (81.799)
Epoch: [77][10680/14090]	Time 0.759 (0.751)	Data 0.001 (0.001)	Loss 1.8689 (1.8143)	Prec@1 49.219 (52.410)	Prec@5 81.250 (81.798)
Epoch: [77][10690/14090]	Time 0.742 (0.751)	Data 0.001 (0.001)	Loss 1.8184 (1.8143)	Prec@1 53.125 (52.411)	Prec@5 82.031 (81.799)
Epoch: [77][10700/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 1.8042 (1.8142)	Prec@1 48.438 (52.411)	Prec@5 82.812 (81.800)
Epoch: [77][10710/14090]	Time 0.739 (0.751)	Data 0.001 (0.001)	Loss 1.6837 (1.8141)	Prec@1 52.344 (52.414)	Prec@5 85.938 (81.803)
Epoch: [77][10720/14090]	Time 0.726 (0.751)	Data 0.001 (0.001)	Loss 1.6584 (1.8141)	Prec@1 54.688 (52.415)	Prec@5 83.594 (81.802)
Epoch: [77][10730/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 1.8963 (1.8141)	Prec@1 51.562 (52.415)	Prec@5 82.812 (81.803)
Epoch: [77][10740/14090]	Time 0.741 (0.751)	Data 0.001 (0.001)	Loss 1.9431 (1.8141)	Prec@1 48.438 (52.415)	Prec@5 80.469 (81.803)
Epoch: [77][10750/14090]	Time 0.781 (0.751)	Data 0.001 (0.001)	Loss 2.2172 (1.8141)	Prec@1 44.531 (52.417)	Prec@5 72.656 (81.802)
Epoch: [77][10760/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 1.9401 (1.8141)	Prec@1 46.875 (52.415)	Prec@5 77.344 (81.801)
Epoch: [77][10770/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 1.7296 (1.8142)	Prec@1 52.344 (52.415)	Prec@5 83.594 (81.801)
Epoch: [77][10780/14090]	Time 0.741 (0.751)	Data 0.001 (0.001)	Loss 1.8674 (1.8141)	Prec@1 50.781 (52.415)	Prec@5 80.469 (81.801)
Epoch: [77][10790/14090]	Time 0.730 (0.751)	Data 0.001 (0.001)	Loss 1.9503 (1.8141)	Prec@1 45.312 (52.415)	Prec@5 79.688 (81.802)
Epoch: [77][10800/14090]	Time 0.730 (0.751)	Data 0.001 (0.001)	Loss 2.0020 (1.8141)	Prec@1 48.438 (52.416)	Prec@5 77.344 (81.802)
Epoch: [77][10810/14090]	Time 0.734 (0.751)	Data 0.001 (0.001)	Loss 1.9353 (1.8141)	Prec@1 52.344 (52.413)	Prec@5 78.906 (81.801)
Epoch: [77][10820/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 1.7472 (1.8141)	Prec@1 51.562 (52.412)	Prec@5 86.719 (81.801)
Epoch: [77][10830/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 1.8399 (1.8141)	Prec@1 52.344 (52.413)	Prec@5 80.469 (81.802)
Epoch: [77][10840/14090]	Time 0.766 (0.751)	Data 0.001 (0.001)	Loss 1.6161 (1.8141)	Prec@1 60.156 (52.414)	Prec@5 89.062 (81.802)
Epoch: [77][10850/14090]	Time 0.742 (0.751)	Data 0.001 (0.001)	Loss 1.5640 (1.8142)	Prec@1 57.031 (52.412)	Prec@5 89.062 (81.801)
Epoch: [77][10860/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.1967 (1.8142)	Prec@1 45.312 (52.411)	Prec@5 77.344 (81.801)
Epoch: [77][10870/14090]	Time 0.762 (0.751)	Data 0.001 (0.001)	Loss 1.7211 (1.8142)	Prec@1 57.031 (52.410)	Prec@5 80.469 (81.801)
Epoch: [77][10880/14090]	Time 0.720 (0.751)	Data 0.001 (0.001)	Loss 1.8797 (1.8142)	Prec@1 51.562 (52.409)	Prec@5 78.906 (81.801)
Epoch: [77][10890/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 1.7659 (1.8142)	Prec@1 55.469 (52.408)	Prec@5 82.812 (81.801)
Epoch: [77][10900/14090]	Time 0.733 (0.751)	Data 0.001 (0.001)	Loss 1.8857 (1.8142)	Prec@1 48.438 (52.407)	Prec@5 81.250 (81.801)
Epoch: [77][10910/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 1.9768 (1.8142)	Prec@1 47.656 (52.408)	Prec@5 79.688 (81.801)
Epoch: [77][10920/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 1.9109 (1.8143)	Prec@1 50.000 (52.407)	Prec@5 82.031 (81.799)
Epoch: [77][10930/14090]	Time 0.740 (0.751)	Data 0.001 (0.001)	Loss 1.8426 (1.8142)	Prec@1 58.594 (52.409)	Prec@5 78.906 (81.799)
Epoch: [77][10940/14090]	Time 0.763 (0.751)	Data 0.001 (0.001)	Loss 1.7323 (1.8143)	Prec@1 50.781 (52.406)	Prec@5 80.469 (81.799)
Epoch: [77][10950/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 1.9375 (1.8143)	Prec@1 50.000 (52.406)	Prec@5 79.688 (81.800)
Epoch: [77][10960/14090]	Time 0.762 (0.751)	Data 0.001 (0.001)	Loss 1.8249 (1.8143)	Prec@1 50.781 (52.405)	Prec@5 79.688 (81.799)
Epoch: [77][10970/14090]	Time 0.775 (0.751)	Data 0.001 (0.001)	Loss 1.8762 (1.8143)	Prec@1 43.750 (52.405)	Prec@5 82.812 (81.799)
Epoch: [77][10980/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 1.8936 (1.8144)	Prec@1 49.219 (52.404)	Prec@5 82.812 (81.799)
Epoch: [77][10990/14090]	Time 0.734 (0.751)	Data 0.001 (0.001)	Loss 1.9584 (1.8144)	Prec@1 48.438 (52.404)	Prec@5 79.688 (81.799)
Epoch: [77][11000/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 1.7421 (1.8143)	Prec@1 49.219 (52.405)	Prec@5 85.938 (81.801)
Epoch: [77][11010/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 1.9390 (1.8144)	Prec@1 43.750 (52.403)	Prec@5 82.031 (81.800)
Epoch: [77][11020/14090]	Time 0.730 (0.751)	Data 0.001 (0.001)	Loss 1.7295 (1.8144)	Prec@1 60.156 (52.402)	Prec@5 81.250 (81.799)
Epoch: [77][11030/14090]	Time 0.743 (0.751)	Data 0.001 (0.001)	Loss 1.9551 (1.8144)	Prec@1 50.000 (52.401)	Prec@5 78.125 (81.799)
Epoch: [77][11040/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 1.7714 (1.8145)	Prec@1 50.781 (52.401)	Prec@5 84.375 (81.800)
Epoch: [77][11050/14090]	Time 0.744 (0.751)	Data 0.000 (0.001)	Loss 1.7344 (1.8145)	Prec@1 53.125 (52.401)	Prec@5 83.594 (81.800)
Epoch: [77][11060/14090]	Time 0.731 (0.751)	Data 0.001 (0.001)	Loss 1.8465 (1.8145)	Prec@1 52.344 (52.401)	Prec@5 82.812 (81.799)
Epoch: [77][11070/14090]	Time 0.733 (0.751)	Data 0.001 (0.001)	Loss 1.7860 (1.8145)	Prec@1 55.469 (52.402)	Prec@5 82.031 (81.799)
Epoch: [77][11080/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 1.8489 (1.8145)	Prec@1 54.688 (52.400)	Prec@5 78.906 (81.797)
Epoch: [77][11090/14090]	Time 0.733 (0.751)	Data 0.001 (0.001)	Loss 1.7924 (1.8146)	Prec@1 48.438 (52.398)	Prec@5 84.375 (81.797)
Epoch: [77][11100/14090]	Time 0.740 (0.751)	Data 0.001 (0.001)	Loss 1.8812 (1.8146)	Prec@1 46.875 (52.397)	Prec@5 78.906 (81.796)
Epoch: [77][11110/14090]	Time 0.741 (0.751)	Data 0.001 (0.001)	Loss 2.0809 (1.8146)	Prec@1 44.531 (52.398)	Prec@5 75.000 (81.796)
Epoch: [77][11120/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 1.8887 (1.8147)	Prec@1 50.000 (52.397)	Prec@5 80.469 (81.794)
Epoch: [77][11130/14090]	Time 0.768 (0.751)	Data 0.001 (0.001)	Loss 2.0606 (1.8147)	Prec@1 46.875 (52.395)	Prec@5 75.781 (81.793)
Epoch: [77][11140/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 1.7992 (1.8148)	Prec@1 53.906 (52.393)	Prec@5 82.031 (81.793)
Epoch: [77][11150/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 1.7649 (1.8147)	Prec@1 52.344 (52.393)	Prec@5 81.250 (81.793)
Epoch: [77][11160/14090]	Time 0.771 (0.751)	Data 0.001 (0.001)	Loss 1.8179 (1.8148)	Prec@1 49.219 (52.395)	Prec@5 83.594 (81.793)
Epoch: [77][11170/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 1.7715 (1.8148)	Prec@1 51.562 (52.393)	Prec@5 85.156 (81.793)
Epoch: [77][11180/14090]	Time 0.725 (0.751)	Data 0.001 (0.001)	Loss 2.0584 (1.8147)	Prec@1 47.656 (52.394)	Prec@5 76.562 (81.792)
Epoch: [77][11190/14090]	Time 0.774 (0.751)	Data 0.001 (0.001)	Loss 1.9280 (1.8148)	Prec@1 50.781 (52.392)	Prec@5 76.562 (81.791)
Epoch: [77][11200/14090]	Time 0.733 (0.751)	Data 0.001 (0.001)	Loss 1.7875 (1.8148)	Prec@1 50.781 (52.392)	Prec@5 81.250 (81.792)
Epoch: [77][11210/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 1.6221 (1.8148)	Prec@1 53.906 (52.391)	Prec@5 82.031 (81.792)
Epoch: [77][11220/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 1.9609 (1.8148)	Prec@1 50.000 (52.391)	Prec@5 79.688 (81.792)
Epoch: [77][11230/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 1.9311 (1.8149)	Prec@1 50.781 (52.391)	Prec@5 82.031 (81.791)
Epoch: [77][11240/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 1.9026 (1.8149)	Prec@1 49.219 (52.390)	Prec@5 80.469 (81.790)
Epoch: [77][11250/14090]	Time 0.771 (0.751)	Data 0.001 (0.001)	Loss 1.9730 (1.8150)	Prec@1 46.094 (52.388)	Prec@5 76.562 (81.790)
Epoch: [77][11260/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 1.8235 (1.8150)	Prec@1 60.156 (52.388)	Prec@5 80.469 (81.788)
Epoch: [77][11270/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.1166 (1.8150)	Prec@1 44.531 (52.387)	Prec@5 75.000 (81.788)
Epoch: [77][11280/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 1.9657 (1.8151)	Prec@1 53.125 (52.385)	Prec@5 78.906 (81.787)
Epoch: [77][11290/14090]	Time 0.727 (0.751)	Data 0.001 (0.001)	Loss 1.6514 (1.8152)	Prec@1 57.031 (52.386)	Prec@5 83.594 (81.785)
Epoch: [77][11300/14090]	Time 0.780 (0.751)	Data 0.001 (0.001)	Loss 1.8824 (1.8153)	Prec@1 51.562 (52.385)	Prec@5 78.906 (81.783)
Epoch: [77][11310/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 1.8168 (1.8152)	Prec@1 51.562 (52.385)	Prec@5 83.594 (81.783)
Epoch: [77][11320/14090]	Time 0.778 (0.751)	Data 0.001 (0.001)	Loss 1.9285 (1.8152)	Prec@1 50.000 (52.387)	Prec@5 77.344 (81.784)
Epoch: [77][11330/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 1.7111 (1.8152)	Prec@1 56.250 (52.388)	Prec@5 82.812 (81.786)
Epoch: [77][11340/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 1.7998 (1.8151)	Prec@1 49.219 (52.388)	Prec@5 81.250 (81.786)
Epoch: [77][11350/14090]	Time 0.770 (0.751)	Data 0.001 (0.001)	Loss 1.8634 (1.8151)	Prec@1 49.219 (52.388)	Prec@5 83.594 (81.785)
Epoch: [77][11360/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 1.9188 (1.8151)	Prec@1 51.562 (52.388)	Prec@5 81.250 (81.785)
Epoch: [77][11370/14090]	Time 0.733 (0.751)	Data 0.001 (0.001)	Loss 1.8044 (1.8152)	Prec@1 50.000 (52.386)	Prec@5 80.469 (81.784)
Epoch: [77][11380/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 1.8933 (1.8152)	Prec@1 52.344 (52.387)	Prec@5 81.250 (81.785)
Epoch: [77][11390/14090]	Time 0.730 (0.751)	Data 0.001 (0.001)	Loss 1.5695 (1.8151)	Prec@1 58.594 (52.388)	Prec@5 84.375 (81.786)
Epoch: [77][11400/14090]	Time 0.734 (0.751)	Data 0.001 (0.001)	Loss 1.7387 (1.8152)	Prec@1 50.000 (52.387)	Prec@5 81.250 (81.784)
Epoch: [77][11410/14090]	Time 0.770 (0.751)	Data 0.001 (0.001)	Loss 1.7647 (1.8152)	Prec@1 51.562 (52.387)	Prec@5 84.375 (81.785)
Epoch: [77][11420/14090]	Time 0.742 (0.751)	Data 0.001 (0.001)	Loss 1.6221 (1.8152)	Prec@1 52.344 (52.387)	Prec@5 82.812 (81.785)
Epoch: [77][11430/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 2.0676 (1.8152)	Prec@1 49.219 (52.389)	Prec@5 77.344 (81.785)
Epoch: [77][11440/14090]	Time 0.730 (0.751)	Data 0.001 (0.001)	Loss 1.6481 (1.8152)	Prec@1 55.469 (52.389)	Prec@5 85.938 (81.784)
Epoch: [77][11450/14090]	Time 0.762 (0.751)	Data 0.001 (0.001)	Loss 1.8684 (1.8152)	Prec@1 50.781 (52.388)	Prec@5 80.469 (81.783)
Epoch: [77][11460/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 1.8581 (1.8152)	Prec@1 46.875 (52.388)	Prec@5 76.562 (81.783)
Epoch: [77][11470/14090]	Time 0.739 (0.751)	Data 0.001 (0.001)	Loss 1.8423 (1.8152)	Prec@1 54.688 (52.387)	Prec@5 80.469 (81.783)
Epoch: [77][11480/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 1.9657 (1.8152)	Prec@1 45.312 (52.387)	Prec@5 80.469 (81.783)
Epoch: [77][11490/14090]	Time 0.816 (0.751)	Data 0.001 (0.001)	Loss 1.8529 (1.8152)	Prec@1 52.344 (52.387)	Prec@5 81.250 (81.784)
Epoch: [77][11500/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 1.6809 (1.8152)	Prec@1 54.688 (52.386)	Prec@5 83.594 (81.784)
Epoch: [77][11510/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 2.0542 (1.8152)	Prec@1 46.875 (52.387)	Prec@5 75.000 (81.785)
Epoch: [77][11520/14090]	Time 0.728 (0.751)	Data 0.001 (0.001)	Loss 1.6457 (1.8153)	Prec@1 56.250 (52.384)	Prec@5 86.719 (81.783)
Epoch: [77][11530/14090]	Time 0.776 (0.751)	Data 0.001 (0.001)	Loss 1.6715 (1.8153)	Prec@1 50.781 (52.384)	Prec@5 85.156 (81.783)
Epoch: [77][11540/14090]	Time 0.762 (0.751)	Data 0.001 (0.001)	Loss 1.6247 (1.8152)	Prec@1 57.031 (52.387)	Prec@5 82.812 (81.784)
Epoch: [77][11550/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 1.7932 (1.8151)	Prec@1 48.438 (52.388)	Prec@5 86.719 (81.785)
Epoch: [77][11560/14090]	Time 0.757 (0.751)	Data 0.001 (0.001)	Loss 1.5431 (1.8151)	Prec@1 57.031 (52.388)	Prec@5 85.938 (81.783)
Epoch: [77][11570/14090]	Time 0.772 (0.751)	Data 0.001 (0.001)	Loss 1.9172 (1.8151)	Prec@1 46.875 (52.389)	Prec@5 82.812 (81.785)
Epoch: [77][11580/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 1.8940 (1.8151)	Prec@1 50.781 (52.389)	Prec@5 79.688 (81.785)
Epoch: [77][11590/14090]	Time 0.734 (0.751)	Data 0.001 (0.001)	Loss 1.9811 (1.8151)	Prec@1 51.562 (52.388)	Prec@5 76.562 (81.785)
Epoch: [77][11600/14090]	Time 0.733 (0.751)	Data 0.001 (0.001)	Loss 1.8247 (1.8151)	Prec@1 50.000 (52.388)	Prec@5 84.375 (81.786)
Epoch: [77][11610/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 1.7418 (1.8151)	Prec@1 53.125 (52.387)	Prec@5 85.156 (81.785)
Epoch: [77][11620/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 1.8078 (1.8151)	Prec@1 52.344 (52.387)	Prec@5 83.594 (81.784)
Epoch: [77][11630/14090]	Time 0.743 (0.751)	Data 0.001 (0.001)	Loss 2.0492 (1.8151)	Prec@1 50.000 (52.385)	Prec@5 82.031 (81.785)
Epoch: [77][11640/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 1.9454 (1.8152)	Prec@1 49.219 (52.384)	Prec@5 81.250 (81.784)
Epoch: [77][11650/14090]	Time 0.739 (0.751)	Data 0.001 (0.001)	Loss 1.8118 (1.8151)	Prec@1 58.594 (52.384)	Prec@5 78.906 (81.784)
Epoch: [77][11660/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 1.6737 (1.8151)	Prec@1 53.125 (52.385)	Prec@5 84.375 (81.786)
Epoch: [77][11670/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 1.6851 (1.8150)	Prec@1 60.156 (52.387)	Prec@5 82.031 (81.786)
Epoch: [77][11680/14090]	Time 0.723 (0.751)	Data 0.001 (0.001)	Loss 1.8069 (1.8151)	Prec@1 47.656 (52.386)	Prec@5 83.594 (81.785)
Epoch: [77][11690/14090]	Time 0.739 (0.751)	Data 0.001 (0.001)	Loss 1.9912 (1.8151)	Prec@1 47.656 (52.386)	Prec@5 78.125 (81.786)
Epoch: [77][11700/14090]	Time 0.830 (0.751)	Data 0.001 (0.001)	Loss 1.5517 (1.8151)	Prec@1 60.156 (52.386)	Prec@5 83.594 (81.786)
Epoch: [77][11710/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 1.8686 (1.8151)	Prec@1 53.125 (52.387)	Prec@5 82.031 (81.785)
Epoch: [77][11720/14090]	Time 0.739 (0.751)	Data 0.001 (0.001)	Loss 1.9201 (1.8150)	Prec@1 48.438 (52.387)	Prec@5 77.344 (81.785)
Epoch: [77][11730/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 1.8455 (1.8150)	Prec@1 54.688 (52.388)	Prec@5 80.469 (81.787)
Epoch: [77][11740/14090]	Time 0.765 (0.751)	Data 0.001 (0.001)	Loss 1.7965 (1.8150)	Prec@1 55.469 (52.387)	Prec@5 80.469 (81.787)
Epoch: [77][11750/14090]	Time 0.775 (0.751)	Data 0.003 (0.001)	Loss 1.9643 (1.8151)	Prec@1 49.219 (52.386)	Prec@5 78.906 (81.787)
Epoch: [77][11760/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 1.7261 (1.8151)	Prec@1 51.562 (52.385)	Prec@5 81.250 (81.788)
Epoch: [77][11770/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 1.9824 (1.8151)	Prec@1 49.219 (52.384)	Prec@5 81.250 (81.787)
Epoch: [77][11780/14090]	Time 0.742 (0.751)	Data 0.001 (0.001)	Loss 1.6372 (1.8151)	Prec@1 57.031 (52.385)	Prec@5 85.156 (81.788)
Epoch: [77][11790/14090]	Time 0.766 (0.751)	Data 0.001 (0.001)	Loss 2.2061 (1.8151)	Prec@1 44.531 (52.384)	Prec@5 78.906 (81.789)
Epoch: [77][11800/14090]	Time 0.742 (0.751)	Data 0.001 (0.001)	Loss 1.9934 (1.8151)	Prec@1 50.781 (52.384)	Prec@5 79.688 (81.788)
Epoch: [77][11810/14090]	Time 0.740 (0.751)	Data 0.001 (0.001)	Loss 1.6671 (1.8151)	Prec@1 53.125 (52.384)	Prec@5 88.281 (81.789)
Epoch: [77][11820/14090]	Time 0.724 (0.751)	Data 0.001 (0.001)	Loss 2.0351 (1.8150)	Prec@1 48.438 (52.386)	Prec@5 79.688 (81.789)
Epoch: [77][11830/14090]	Time 0.769 (0.751)	Data 0.001 (0.001)	Loss 2.0112 (1.8150)	Prec@1 50.781 (52.386)	Prec@5 78.906 (81.790)
Epoch: [77][11840/14090]	Time 0.772 (0.751)	Data 0.001 (0.001)	Loss 1.5923 (1.8150)	Prec@1 58.594 (52.387)	Prec@5 87.500 (81.791)
Epoch: [77][11850/14090]	Time 0.770 (0.751)	Data 0.001 (0.001)	Loss 1.8060 (1.8151)	Prec@1 50.000 (52.386)	Prec@5 87.500 (81.791)
Epoch: [77][11860/14090]	Time 0.742 (0.751)	Data 0.001 (0.001)	Loss 1.7549 (1.8151)	Prec@1 52.344 (52.386)	Prec@5 84.375 (81.792)
Epoch: [77][11870/14090]	Time 0.762 (0.751)	Data 0.001 (0.001)	Loss 2.0934 (1.8151)	Prec@1 47.656 (52.385)	Prec@5 73.438 (81.791)
Epoch: [77][11880/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 1.8203 (1.8151)	Prec@1 53.125 (52.385)	Prec@5 81.250 (81.791)
Epoch: [77][11890/14090]	Time 0.742 (0.751)	Data 0.001 (0.001)	Loss 1.5496 (1.8151)	Prec@1 57.031 (52.386)	Prec@5 82.812 (81.791)
Epoch: [77][11900/14090]	Time 0.743 (0.751)	Data 0.001 (0.001)	Loss 1.9831 (1.8150)	Prec@1 46.094 (52.388)	Prec@5 82.812 (81.794)
Epoch: [77][11910/14090]	Time 0.760 (0.751)	Data 0.001 (0.001)	Loss 1.8958 (1.8151)	Prec@1 57.812 (52.387)	Prec@5 78.125 (81.792)
Epoch: [77][11920/14090]	Time 0.786 (0.751)	Data 0.001 (0.001)	Loss 1.6549 (1.8151)	Prec@1 55.469 (52.387)	Prec@5 84.375 (81.792)
Epoch: [77][11930/14090]	Time 0.764 (0.751)	Data 0.001 (0.001)	Loss 1.9262 (1.8151)	Prec@1 45.312 (52.386)	Prec@5 78.125 (81.791)
Epoch: [77][11940/14090]	Time 0.778 (0.751)	Data 0.001 (0.001)	Loss 1.7749 (1.8151)	Prec@1 51.562 (52.386)	Prec@5 78.906 (81.791)
Epoch: [77][11950/14090]	Time 0.767 (0.751)	Data 0.001 (0.001)	Loss 1.7025 (1.8151)	Prec@1 57.031 (52.387)	Prec@5 82.812 (81.791)
Epoch: [77][11960/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 1.7482 (1.8150)	Prec@1 55.469 (52.390)	Prec@5 84.375 (81.792)
Epoch: [77][11970/14090]	Time 0.757 (0.751)	Data 0.001 (0.001)	Loss 1.9794 (1.8150)	Prec@1 50.000 (52.390)	Prec@5 79.688 (81.792)
Epoch: [77][11980/14090]	Time 0.728 (0.751)	Data 0.001 (0.001)	Loss 1.7431 (1.8151)	Prec@1 53.906 (52.389)	Prec@5 84.375 (81.791)
Epoch: [77][11990/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 1.6541 (1.8151)	Prec@1 60.938 (52.391)	Prec@5 83.594 (81.791)
Epoch: [77][12000/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 1.9706 (1.8151)	Prec@1 46.094 (52.391)	Prec@5 79.688 (81.790)
Epoch: [77][12010/14090]	Time 0.757 (0.751)	Data 0.001 (0.001)	Loss 1.7689 (1.8151)	Prec@1 54.688 (52.390)	Prec@5 84.375 (81.790)
Epoch: [77][12020/14090]	Time 0.729 (0.751)	Data 0.001 (0.001)	Loss 1.6619 (1.8151)	Prec@1 54.688 (52.392)	Prec@5 83.594 (81.791)
Epoch: [77][12030/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 1.7095 (1.8152)	Prec@1 50.000 (52.389)	Prec@5 85.156 (81.790)
Epoch: [77][12040/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 1.6712 (1.8152)	Prec@1 53.125 (52.389)	Prec@5 85.938 (81.790)
Epoch: [77][12050/14090]	Time 0.739 (0.751)	Data 0.001 (0.001)	Loss 1.8947 (1.8151)	Prec@1 58.594 (52.391)	Prec@5 79.688 (81.790)
Epoch: [77][12060/14090]	Time 0.734 (0.751)	Data 0.001 (0.001)	Loss 1.7301 (1.8151)	Prec@1 52.344 (52.392)	Prec@5 85.156 (81.791)
Epoch: [77][12070/14090]	Time 0.728 (0.751)	Data 0.001 (0.001)	Loss 1.9301 (1.8151)	Prec@1 46.094 (52.392)	Prec@5 82.031 (81.789)
Epoch: [77][12080/14090]	Time 0.767 (0.751)	Data 0.001 (0.001)	Loss 1.6573 (1.8151)	Prec@1 55.469 (52.392)	Prec@5 82.031 (81.791)
Epoch: [77][12090/14090]	Time 0.743 (0.751)	Data 0.001 (0.001)	Loss 1.8704 (1.8151)	Prec@1 50.000 (52.392)	Prec@5 82.812 (81.790)
Epoch: [77][12100/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 1.7052 (1.8151)	Prec@1 52.344 (52.390)	Prec@5 79.688 (81.790)
Epoch: [77][12110/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 1.8867 (1.8151)	Prec@1 45.312 (52.390)	Prec@5 85.156 (81.790)
Epoch: [77][12120/14090]	Time 0.733 (0.751)	Data 0.001 (0.001)	Loss 1.9947 (1.8152)	Prec@1 50.000 (52.390)	Prec@5 80.469 (81.790)
Epoch: [77][12130/14090]	Time 0.726 (0.751)	Data 0.001 (0.001)	Loss 1.4414 (1.8151)	Prec@1 58.594 (52.391)	Prec@5 89.062 (81.791)
Epoch: [77][12140/14090]	Time 0.788 (0.751)	Data 0.001 (0.001)	Loss 1.8477 (1.8151)	Prec@1 52.344 (52.391)	Prec@5 76.562 (81.791)
Epoch: [77][12150/14090]	Time 0.772 (0.751)	Data 0.001 (0.001)	Loss 2.1882 (1.8152)	Prec@1 39.062 (52.389)	Prec@5 78.125 (81.790)
Epoch: [77][12160/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 1.9436 (1.8152)	Prec@1 44.531 (52.388)	Prec@5 78.906 (81.790)
Epoch: [77][12170/14090]	Time 0.779 (0.751)	Data 0.001 (0.001)	Loss 1.6934 (1.8152)	Prec@1 53.125 (52.389)	Prec@5 82.812 (81.789)
Epoch: [77][12180/14090]	Time 0.763 (0.751)	Data 0.001 (0.001)	Loss 1.8201 (1.8151)	Prec@1 48.438 (52.389)	Prec@5 82.031 (81.790)
Epoch: [77][12190/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 1.9764 (1.8153)	Prec@1 47.656 (52.386)	Prec@5 78.906 (81.787)
Epoch: [77][12200/14090]	Time 0.770 (0.751)	Data 0.001 (0.001)	Loss 1.6186 (1.8153)	Prec@1 58.594 (52.387)	Prec@5 83.594 (81.788)
Epoch: [77][12210/14090]	Time 0.786 (0.751)	Data 0.001 (0.001)	Loss 1.8335 (1.8153)	Prec@1 52.344 (52.385)	Prec@5 81.250 (81.788)
Epoch: [77][12220/14090]	Time 0.724 (0.751)	Data 0.001 (0.001)	Loss 1.9210 (1.8153)	Prec@1 49.219 (52.384)	Prec@5 81.250 (81.789)
Epoch: [77][12230/14090]	Time 0.782 (0.751)	Data 0.001 (0.001)	Loss 1.7602 (1.8153)	Prec@1 49.219 (52.384)	Prec@5 82.031 (81.789)
Epoch: [77][12240/14090]	Time 0.737 (0.751)	Data 0.001 (0.001)	Loss 1.8168 (1.8153)	Prec@1 46.094 (52.385)	Prec@5 85.156 (81.791)
Epoch: [77][12250/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 2.1026 (1.8153)	Prec@1 46.875 (52.383)	Prec@5 76.562 (81.790)
Epoch: [77][12260/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 1.8696 (1.8152)	Prec@1 46.875 (52.384)	Prec@5 83.594 (81.791)
Epoch: [77][12270/14090]	Time 0.742 (0.751)	Data 0.001 (0.001)	Loss 1.8388 (1.8153)	Prec@1 49.219 (52.382)	Prec@5 83.594 (81.789)
Epoch: [77][12280/14090]	Time 0.766 (0.751)	Data 0.001 (0.001)	Loss 1.5867 (1.8153)	Prec@1 55.469 (52.381)	Prec@5 86.719 (81.790)
Epoch: [77][12290/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 1.7163 (1.8153)	Prec@1 53.906 (52.381)	Prec@5 85.156 (81.791)
Epoch: [77][12300/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 1.7571 (1.8153)	Prec@1 57.812 (52.382)	Prec@5 80.469 (81.792)
Epoch: [77][12310/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 2.0356 (1.8153)	Prec@1 46.875 (52.379)	Prec@5 84.375 (81.792)
Epoch: [77][12320/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 1.6335 (1.8153)	Prec@1 58.594 (52.379)	Prec@5 85.938 (81.792)
Epoch: [77][12330/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 1.7789 (1.8153)	Prec@1 52.344 (52.380)	Prec@5 80.469 (81.793)
Epoch: [77][12340/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 1.5655 (1.8152)	Prec@1 56.250 (52.380)	Prec@5 86.719 (81.794)
Epoch: [77][12350/14090]	Time 0.778 (0.751)	Data 0.001 (0.001)	Loss 2.0069 (1.8153)	Prec@1 47.656 (52.378)	Prec@5 73.438 (81.793)
Epoch: [77][12360/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 1.9589 (1.8153)	Prec@1 54.688 (52.378)	Prec@5 78.125 (81.793)
Epoch: [77][12370/14090]	Time 0.737 (0.751)	Data 0.001 (0.001)	Loss 2.0447 (1.8153)	Prec@1 48.438 (52.378)	Prec@5 80.469 (81.793)
Epoch: [77][12380/14090]	Time 0.725 (0.751)	Data 0.001 (0.001)	Loss 2.0108 (1.8153)	Prec@1 44.531 (52.378)	Prec@5 80.469 (81.793)
Epoch: [77][12390/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 2.0055 (1.8154)	Prec@1 47.656 (52.377)	Prec@5 78.906 (81.792)
Epoch: [77][12400/14090]	Time 0.741 (0.751)	Data 0.001 (0.001)	Loss 1.9540 (1.8154)	Prec@1 51.562 (52.376)	Prec@5 78.125 (81.790)
Epoch: [77][12410/14090]	Time 0.766 (0.751)	Data 0.001 (0.001)	Loss 1.9323 (1.8155)	Prec@1 51.562 (52.376)	Prec@5 78.906 (81.789)
Epoch: [77][12420/14090]	Time 0.767 (0.751)	Data 0.001 (0.001)	Loss 1.7881 (1.8154)	Prec@1 54.688 (52.377)	Prec@5 83.594 (81.789)
Epoch: [77][12430/14090]	Time 0.726 (0.751)	Data 0.001 (0.001)	Loss 2.0788 (1.8155)	Prec@1 48.438 (52.376)	Prec@5 77.344 (81.789)
Epoch: [77][12440/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 1.8999 (1.8155)	Prec@1 53.906 (52.374)	Prec@5 80.469 (81.788)
Epoch: [77][12450/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 1.6260 (1.8155)	Prec@1 55.469 (52.373)	Prec@5 85.156 (81.789)
Epoch: [77][12460/14090]	Time 0.760 (0.751)	Data 0.001 (0.001)	Loss 1.5116 (1.8156)	Prec@1 53.906 (52.372)	Prec@5 88.281 (81.788)
Epoch: [77][12470/14090]	Time 0.781 (0.751)	Data 0.001 (0.001)	Loss 2.0316 (1.8157)	Prec@1 50.000 (52.371)	Prec@5 78.906 (81.786)
Epoch: [77][12480/14090]	Time 0.761 (0.751)	Data 0.001 (0.001)	Loss 1.6347 (1.8157)	Prec@1 57.812 (52.370)	Prec@5 86.719 (81.787)
Epoch: [77][12490/14090]	Time 0.734 (0.751)	Data 0.001 (0.001)	Loss 1.7210 (1.8156)	Prec@1 54.688 (52.372)	Prec@5 88.281 (81.788)
Epoch: [77][12500/14090]	Time 0.737 (0.751)	Data 0.001 (0.001)	Loss 1.7866 (1.8157)	Prec@1 52.344 (52.370)	Prec@5 82.031 (81.788)
Epoch: [77][12510/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 2.1236 (1.8157)	Prec@1 47.656 (52.371)	Prec@5 75.000 (81.787)
Epoch: [77][12520/14090]	Time 0.727 (0.751)	Data 0.001 (0.001)	Loss 1.6401 (1.8157)	Prec@1 59.375 (52.371)	Prec@5 82.812 (81.787)
Epoch: [77][12530/14090]	Time 0.731 (0.751)	Data 0.001 (0.001)	Loss 1.9574 (1.8158)	Prec@1 46.094 (52.369)	Prec@5 78.906 (81.785)
Epoch: [77][12540/14090]	Time 0.722 (0.751)	Data 0.001 (0.001)	Loss 1.4647 (1.8158)	Prec@1 57.812 (52.369)	Prec@5 89.844 (81.785)
Epoch: [77][12550/14090]	Time 0.740 (0.751)	Data 0.001 (0.001)	Loss 1.8795 (1.8158)	Prec@1 58.594 (52.369)	Prec@5 81.250 (81.785)
Epoch: [77][12560/14090]	Time 0.728 (0.751)	Data 0.001 (0.001)	Loss 1.9139 (1.8158)	Prec@1 55.469 (52.369)	Prec@5 82.031 (81.785)
Epoch: [77][12570/14090]	Time 0.772 (0.751)	Data 0.001 (0.001)	Loss 1.8140 (1.8158)	Prec@1 53.906 (52.369)	Prec@5 79.688 (81.785)
Epoch: [77][12580/14090]	Time 0.737 (0.751)	Data 0.001 (0.001)	Loss 1.6586 (1.8158)	Prec@1 54.688 (52.370)	Prec@5 83.594 (81.785)
Epoch: [77][12590/14090]	Time 0.761 (0.751)	Data 0.001 (0.001)	Loss 1.7329 (1.8158)	Prec@1 55.469 (52.368)	Prec@5 83.594 (81.784)
Epoch: [77][12600/14090]	Time 0.760 (0.751)	Data 0.001 (0.001)	Loss 1.6723 (1.8158)	Prec@1 54.688 (52.369)	Prec@5 85.156 (81.785)
Epoch: [77][12610/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 1.9196 (1.8157)	Prec@1 49.219 (52.370)	Prec@5 80.469 (81.784)
Epoch: [77][12620/14090]	Time 0.768 (0.751)	Data 0.001 (0.001)	Loss 1.7407 (1.8158)	Prec@1 52.344 (52.370)	Prec@5 86.719 (81.784)
Epoch: [77][12630/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 1.7454 (1.8158)	Prec@1 58.594 (52.370)	Prec@5 87.500 (81.784)
Epoch: [77][12640/14090]	Time 0.762 (0.751)	Data 0.001 (0.001)	Loss 1.8360 (1.8158)	Prec@1 53.125 (52.370)	Prec@5 85.156 (81.786)
Epoch: [77][12650/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 1.6158 (1.8158)	Prec@1 56.250 (52.370)	Prec@5 86.719 (81.785)
Epoch: [77][12660/14090]	Time 0.742 (0.751)	Data 0.001 (0.001)	Loss 1.7562 (1.8158)	Prec@1 57.812 (52.369)	Prec@5 81.250 (81.784)
Epoch: [77][12670/14090]	Time 0.722 (0.751)	Data 0.001 (0.001)	Loss 1.8408 (1.8158)	Prec@1 50.781 (52.371)	Prec@5 85.938 (81.785)
Epoch: [77][12680/14090]	Time 0.828 (0.751)	Data 0.001 (0.001)	Loss 1.8392 (1.8158)	Prec@1 46.094 (52.370)	Prec@5 82.812 (81.784)
Epoch: [77][12690/14090]	Time 0.775 (0.751)	Data 0.001 (0.001)	Loss 1.7049 (1.8158)	Prec@1 55.469 (52.371)	Prec@5 84.375 (81.785)
Epoch: [77][12700/14090]	Time 0.727 (0.751)	Data 0.001 (0.001)	Loss 1.6119 (1.8158)	Prec@1 58.594 (52.371)	Prec@5 81.250 (81.784)
Epoch: [77][12710/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 1.8329 (1.8158)	Prec@1 55.469 (52.371)	Prec@5 81.250 (81.784)
Epoch: [77][12720/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 1.6834 (1.8158)	Prec@1 58.594 (52.372)	Prec@5 81.250 (81.783)
Epoch: [77][12730/14090]	Time 0.757 (0.751)	Data 0.001 (0.001)	Loss 1.8854 (1.8158)	Prec@1 52.344 (52.373)	Prec@5 79.688 (81.783)
Epoch: [77][12740/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 1.6937 (1.8159)	Prec@1 51.562 (52.372)	Prec@5 79.688 (81.783)
Epoch: [77][12750/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 2.2910 (1.8159)	Prec@1 42.969 (52.372)	Prec@5 71.094 (81.781)
Epoch: [77][12760/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 2.1177 (1.8160)	Prec@1 42.969 (52.369)	Prec@5 80.469 (81.781)
Epoch: [77][12770/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 1.9227 (1.8161)	Prec@1 53.906 (52.369)	Prec@5 80.469 (81.779)
Epoch: [77][12780/14090]	Time 0.759 (0.751)	Data 0.001 (0.001)	Loss 1.9098 (1.8160)	Prec@1 51.562 (52.369)	Prec@5 77.344 (81.779)
Epoch: [77][12790/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 1.4542 (1.8160)	Prec@1 61.719 (52.371)	Prec@5 89.844 (81.780)
Epoch: [77][12800/14090]	Time 0.739 (0.751)	Data 0.001 (0.001)	Loss 1.9377 (1.8159)	Prec@1 50.781 (52.371)	Prec@5 77.344 (81.780)
Epoch: [77][12810/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 1.9214 (1.8160)	Prec@1 49.219 (52.370)	Prec@5 84.375 (81.780)
Epoch: [77][12820/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 1.7753 (1.8160)	Prec@1 52.344 (52.370)	Prec@5 80.469 (81.779)
Epoch: [77][12830/14090]	Time 0.737 (0.751)	Data 0.001 (0.001)	Loss 1.8704 (1.8160)	Prec@1 48.438 (52.369)	Prec@5 83.594 (81.779)
Epoch: [77][12840/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 1.7138 (1.8160)	Prec@1 54.688 (52.370)	Prec@5 81.250 (81.780)
Epoch: [77][12850/14090]	Time 0.730 (0.751)	Data 0.001 (0.001)	Loss 1.8011 (1.8159)	Prec@1 50.000 (52.370)	Prec@5 85.938 (81.781)
Epoch: [77][12860/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 1.8319 (1.8159)	Prec@1 50.781 (52.368)	Prec@5 82.031 (81.781)
Epoch: [77][12870/14090]	Time 0.743 (0.751)	Data 0.001 (0.001)	Loss 1.7685 (1.8159)	Prec@1 50.781 (52.368)	Prec@5 82.031 (81.781)
Epoch: [77][12880/14090]	Time 0.760 (0.751)	Data 0.001 (0.001)	Loss 1.6329 (1.8160)	Prec@1 55.469 (52.366)	Prec@5 87.500 (81.780)
Epoch: [77][12890/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 1.8797 (1.8159)	Prec@1 48.438 (52.366)	Prec@5 81.250 (81.781)
Epoch: [77][12900/14090]	Time 0.729 (0.751)	Data 0.001 (0.001)	Loss 1.6301 (1.8159)	Prec@1 56.250 (52.366)	Prec@5 83.594 (81.781)
Epoch: [77][12910/14090]	Time 0.787 (0.751)	Data 0.001 (0.001)	Loss 1.8906 (1.8159)	Prec@1 53.125 (52.365)	Prec@5 79.688 (81.780)
Epoch: [77][12920/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 1.7944 (1.8160)	Prec@1 57.812 (52.364)	Prec@5 78.906 (81.779)
Epoch: [77][12930/14090]	Time 0.779 (0.751)	Data 0.001 (0.001)	Loss 1.8235 (1.8160)	Prec@1 55.469 (52.365)	Prec@5 82.031 (81.779)
Epoch: [77][12940/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 1.9367 (1.8160)	Prec@1 52.344 (52.364)	Prec@5 80.469 (81.780)
Epoch: [77][12950/14090]	Time 0.764 (0.751)	Data 0.001 (0.001)	Loss 1.8570 (1.8160)	Prec@1 50.781 (52.365)	Prec@5 81.250 (81.778)
Epoch: [77][12960/14090]	Time 0.739 (0.751)	Data 0.001 (0.001)	Loss 1.8511 (1.8161)	Prec@1 48.438 (52.364)	Prec@5 80.469 (81.777)
Epoch: [77][12970/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 1.9071 (1.8161)	Prec@1 53.125 (52.365)	Prec@5 82.812 (81.778)
Epoch: [77][12980/14090]	Time 0.734 (0.751)	Data 0.001 (0.001)	Loss 1.9948 (1.8161)	Prec@1 42.969 (52.364)	Prec@5 79.688 (81.778)
Epoch: [77][12990/14090]	Time 0.782 (0.751)	Data 0.001 (0.001)	Loss 1.7249 (1.8161)	Prec@1 46.094 (52.363)	Prec@5 84.375 (81.778)
Epoch: [77][13000/14090]	Time 0.742 (0.751)	Data 0.001 (0.001)	Loss 1.7981 (1.8161)	Prec@1 53.906 (52.363)	Prec@5 84.375 (81.779)
Epoch: [77][13010/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 2.0528 (1.8162)	Prec@1 49.219 (52.362)	Prec@5 76.562 (81.777)
Epoch: [77][13020/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 1.8369 (1.8162)	Prec@1 53.906 (52.362)	Prec@5 82.031 (81.776)
Epoch: [77][13030/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 1.7696 (1.8162)	Prec@1 53.125 (52.360)	Prec@5 85.156 (81.775)
Epoch: [77][13040/14090]	Time 0.759 (0.751)	Data 0.001 (0.001)	Loss 1.9760 (1.8162)	Prec@1 49.219 (52.359)	Prec@5 82.812 (81.775)
Epoch: [77][13050/14090]	Time 0.772 (0.751)	Data 0.001 (0.001)	Loss 1.7023 (1.8162)	Prec@1 56.250 (52.360)	Prec@5 86.719 (81.775)
Epoch: [77][13060/14090]	Time 0.730 (0.751)	Data 0.001 (0.001)	Loss 1.7416 (1.8162)	Prec@1 51.562 (52.360)	Prec@5 84.375 (81.776)
Epoch: [77][13070/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 1.6517 (1.8162)	Prec@1 57.031 (52.362)	Prec@5 83.594 (81.776)
Epoch: [77][13080/14090]	Time 0.737 (0.751)	Data 0.001 (0.001)	Loss 1.7444 (1.8161)	Prec@1 53.906 (52.362)	Prec@5 83.594 (81.776)
Epoch: [77][13090/14090]	Time 0.766 (0.751)	Data 0.001 (0.001)	Loss 1.8838 (1.8162)	Prec@1 48.438 (52.359)	Prec@5 86.719 (81.776)
Epoch: [77][13100/14090]	Time 0.766 (0.751)	Data 0.001 (0.001)	Loss 1.9158 (1.8163)	Prec@1 50.000 (52.358)	Prec@5 82.812 (81.776)
Epoch: [77][13110/14090]	Time 0.777 (0.751)	Data 0.001 (0.001)	Loss 1.9034 (1.8163)	Prec@1 48.438 (52.358)	Prec@5 81.250 (81.775)
Epoch: [77][13120/14090]	Time 0.743 (0.751)	Data 0.001 (0.001)	Loss 1.9015 (1.8163)	Prec@1 49.219 (52.357)	Prec@5 80.469 (81.775)
Epoch: [77][13130/14090]	Time 0.725 (0.751)	Data 0.001 (0.001)	Loss 1.7970 (1.8164)	Prec@1 55.469 (52.356)	Prec@5 80.469 (81.774)
Epoch: [77][13140/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 1.7101 (1.8163)	Prec@1 57.031 (52.355)	Prec@5 82.031 (81.774)
Epoch: [77][13150/14090]	Time 0.788 (0.751)	Data 0.001 (0.001)	Loss 1.6792 (1.8163)	Prec@1 57.812 (52.356)	Prec@5 84.375 (81.775)
Epoch: [77][13160/14090]	Time 0.773 (0.751)	Data 0.001 (0.001)	Loss 1.8269 (1.8163)	Prec@1 52.344 (52.355)	Prec@5 83.594 (81.775)
Epoch: [77][13170/14090]	Time 0.740 (0.751)	Data 0.001 (0.001)	Loss 1.5673 (1.8163)	Prec@1 59.375 (52.355)	Prec@5 81.250 (81.775)
Epoch: [77][13180/14090]	Time 0.763 (0.751)	Data 0.001 (0.001)	Loss 1.7215 (1.8163)	Prec@1 50.000 (52.353)	Prec@5 82.812 (81.774)
Epoch: [77][13190/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 2.0948 (1.8164)	Prec@1 48.438 (52.349)	Prec@5 75.000 (81.771)
Epoch: [77][13200/14090]	Time 0.770 (0.751)	Data 0.001 (0.001)	Loss 1.7962 (1.8164)	Prec@1 50.000 (52.349)	Prec@5 84.375 (81.772)
Epoch: [77][13210/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 1.6695 (1.8164)	Prec@1 59.375 (52.349)	Prec@5 87.500 (81.772)
Epoch: [77][13220/14090]	Time 0.739 (0.751)	Data 0.001 (0.001)	Loss 1.9141 (1.8163)	Prec@1 45.312 (52.349)	Prec@5 79.688 (81.774)
Epoch: [77][13230/14090]	Time 0.724 (0.751)	Data 0.001 (0.001)	Loss 1.6125 (1.8163)	Prec@1 56.250 (52.351)	Prec@5 89.062 (81.775)
Epoch: [77][13240/14090]	Time 0.777 (0.751)	Data 0.001 (0.001)	Loss 1.8204 (1.8162)	Prec@1 49.219 (52.352)	Prec@5 84.375 (81.777)
Epoch: [77][13250/14090]	Time 0.771 (0.751)	Data 0.001 (0.001)	Loss 1.9406 (1.8163)	Prec@1 46.094 (52.351)	Prec@5 78.125 (81.777)
Epoch: [77][13260/14090]	Time 0.764 (0.751)	Data 0.001 (0.001)	Loss 1.8056 (1.8162)	Prec@1 51.562 (52.351)	Prec@5 79.688 (81.777)
Epoch: [77][13270/14090]	Time 0.742 (0.751)	Data 0.001 (0.001)	Loss 1.8327 (1.8163)	Prec@1 50.781 (52.349)	Prec@5 80.469 (81.776)
Epoch: [77][13280/14090]	Time 0.769 (0.751)	Data 0.001 (0.001)	Loss 1.6569 (1.8163)	Prec@1 54.688 (52.350)	Prec@5 82.031 (81.775)
Epoch: [77][13290/14090]	Time 0.757 (0.751)	Data 0.001 (0.001)	Loss 1.8204 (1.8163)	Prec@1 51.562 (52.351)	Prec@5 78.906 (81.775)
Epoch: [77][13300/14090]	Time 0.727 (0.751)	Data 0.001 (0.001)	Loss 1.6095 (1.8163)	Prec@1 60.156 (52.352)	Prec@5 82.031 (81.775)
Epoch: [77][13310/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 2.0585 (1.8163)	Prec@1 46.094 (52.352)	Prec@5 75.781 (81.775)
Epoch: [77][13320/14090]	Time 0.767 (0.751)	Data 0.001 (0.001)	Loss 1.8224 (1.8163)	Prec@1 55.469 (52.352)	Prec@5 84.375 (81.775)
Epoch: [77][13330/14090]	Time 0.765 (0.751)	Data 0.001 (0.001)	Loss 1.9197 (1.8163)	Prec@1 49.219 (52.352)	Prec@5 76.562 (81.773)
Epoch: [77][13340/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 1.6109 (1.8163)	Prec@1 58.594 (52.353)	Prec@5 83.594 (81.774)
Epoch: [77][13350/14090]	Time 0.731 (0.751)	Data 0.001 (0.001)	Loss 1.7364 (1.8163)	Prec@1 54.688 (52.353)	Prec@5 81.250 (81.773)
Epoch: [77][13360/14090]	Time 0.742 (0.751)	Data 0.001 (0.001)	Loss 1.9278 (1.8163)	Prec@1 50.781 (52.354)	Prec@5 77.344 (81.772)
Epoch: [77][13370/14090]	Time 0.737 (0.751)	Data 0.001 (0.001)	Loss 1.6675 (1.8163)	Prec@1 54.688 (52.354)	Prec@5 83.594 (81.772)
Epoch: [77][13380/14090]	Time 0.835 (0.751)	Data 0.001 (0.001)	Loss 1.7651 (1.8163)	Prec@1 50.781 (52.354)	Prec@5 83.594 (81.772)
Epoch: [77][13390/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 1.9693 (1.8162)	Prec@1 46.094 (52.354)	Prec@5 82.812 (81.773)
Epoch: [77][13400/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 1.7109 (1.8162)	Prec@1 53.125 (52.355)	Prec@5 82.031 (81.772)
Epoch: [77][13410/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 2.1604 (1.8162)	Prec@1 46.094 (52.355)	Prec@5 77.344 (81.773)
Epoch: [77][13420/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 1.8584 (1.8162)	Prec@1 52.344 (52.355)	Prec@5 80.469 (81.772)
Epoch: [77][13430/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 1.7564 (1.8162)	Prec@1 50.000 (52.355)	Prec@5 86.719 (81.773)
Epoch: [77][13440/14090]	Time 0.787 (0.751)	Data 0.001 (0.001)	Loss 2.0216 (1.8162)	Prec@1 43.750 (52.356)	Prec@5 76.562 (81.774)
Epoch: [77][13450/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 1.8700 (1.8162)	Prec@1 49.219 (52.357)	Prec@5 82.031 (81.775)
Epoch: [77][13460/14090]	Time 0.774 (0.751)	Data 0.001 (0.001)	Loss 1.5338 (1.8162)	Prec@1 55.469 (52.357)	Prec@5 84.375 (81.775)
Epoch: [77][13470/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 1.7959 (1.8162)	Prec@1 53.125 (52.356)	Prec@5 78.906 (81.774)
Epoch: [77][13480/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 1.9425 (1.8162)	Prec@1 50.781 (52.355)	Prec@5 79.688 (81.773)
Epoch: [77][13490/14090]	Time 0.743 (0.751)	Data 0.001 (0.001)	Loss 1.8435 (1.8162)	Prec@1 54.688 (52.355)	Prec@5 78.125 (81.773)
Epoch: [77][13500/14090]	Time 0.779 (0.751)	Data 0.001 (0.001)	Loss 1.8245 (1.8163)	Prec@1 53.125 (52.356)	Prec@5 83.594 (81.774)
Epoch: [77][13510/14090]	Time 0.760 (0.751)	Data 0.001 (0.001)	Loss 2.0717 (1.8162)	Prec@1 50.000 (52.356)	Prec@5 79.688 (81.775)
Epoch: [77][13520/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 1.7542 (1.8163)	Prec@1 50.781 (52.355)	Prec@5 81.250 (81.775)
Epoch: [77][13530/14090]	Time 0.729 (0.751)	Data 0.001 (0.001)	Loss 1.8329 (1.8162)	Prec@1 54.688 (52.357)	Prec@5 82.812 (81.775)
Epoch: [77][13540/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 1.9563 (1.8162)	Prec@1 48.438 (52.356)	Prec@5 79.688 (81.775)
Epoch: [77][13550/14090]	Time 0.763 (0.751)	Data 0.001 (0.001)	Loss 1.8213 (1.8163)	Prec@1 53.125 (52.355)	Prec@5 78.125 (81.775)
Epoch: [77][13560/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 1.8230 (1.8163)	Prec@1 49.219 (52.355)	Prec@5 82.031 (81.775)
Epoch: [77][13570/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 1.8085 (1.8163)	Prec@1 53.125 (52.354)	Prec@5 79.688 (81.774)
Epoch: [77][13580/14090]	Time 0.739 (0.751)	Data 0.001 (0.001)	Loss 1.6582 (1.8164)	Prec@1 53.906 (52.353)	Prec@5 86.719 (81.774)
Epoch: [77][13590/14090]	Time 0.774 (0.751)	Data 0.001 (0.001)	Loss 1.6650 (1.8164)	Prec@1 57.031 (52.353)	Prec@5 82.812 (81.774)
Epoch: [77][13600/14090]	Time 0.726 (0.751)	Data 0.001 (0.001)	Loss 1.7609 (1.8163)	Prec@1 50.781 (52.355)	Prec@5 81.250 (81.774)
Epoch: [77][13610/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 1.6186 (1.8163)	Prec@1 57.812 (52.355)	Prec@5 82.812 (81.775)
Epoch: [77][13620/14090]	Time 0.776 (0.751)	Data 0.001 (0.001)	Loss 1.9098 (1.8163)	Prec@1 48.438 (52.355)	Prec@5 82.031 (81.776)
Epoch: [77][13630/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 1.9364 (1.8163)	Prec@1 43.750 (52.355)	Prec@5 77.344 (81.775)
Epoch: [77][13640/14090]	Time 0.727 (0.751)	Data 0.001 (0.001)	Loss 1.7571 (1.8163)	Prec@1 57.031 (52.356)	Prec@5 78.906 (81.774)
Epoch: [77][13650/14090]	Time 0.727 (0.751)	Data 0.001 (0.001)	Loss 1.6717 (1.8163)	Prec@1 59.375 (52.356)	Prec@5 80.469 (81.774)
Epoch: [77][13660/14090]	Time 0.759 (0.751)	Data 0.001 (0.001)	Loss 2.1068 (1.8164)	Prec@1 49.219 (52.356)	Prec@5 75.781 (81.772)
Epoch: [77][13670/14090]	Time 0.743 (0.751)	Data 0.001 (0.001)	Loss 1.6354 (1.8164)	Prec@1 57.031 (52.356)	Prec@5 83.594 (81.773)
Epoch: [77][13680/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 1.8104 (1.8165)	Prec@1 53.125 (52.356)	Prec@5 82.812 (81.772)
Epoch: [77][13690/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 2.1771 (1.8165)	Prec@1 47.656 (52.357)	Prec@5 74.219 (81.772)
Epoch: [77][13700/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 1.6285 (1.8164)	Prec@1 54.688 (52.358)	Prec@5 82.812 (81.771)
Epoch: [77][13710/14090]	Time 0.759 (0.751)	Data 0.001 (0.001)	Loss 2.0183 (1.8164)	Prec@1 46.875 (52.357)	Prec@5 79.688 (81.772)
Epoch: [77][13720/14090]	Time 0.740 (0.751)	Data 0.001 (0.001)	Loss 1.9649 (1.8164)	Prec@1 50.781 (52.358)	Prec@5 79.688 (81.771)
Epoch: [77][13730/14090]	Time 0.760 (0.751)	Data 0.001 (0.001)	Loss 1.6795 (1.8164)	Prec@1 57.031 (52.358)	Prec@5 81.250 (81.770)
Epoch: [77][13740/14090]	Time 0.739 (0.751)	Data 0.001 (0.001)	Loss 1.8559 (1.8165)	Prec@1 45.312 (52.359)	Prec@5 78.906 (81.769)
Epoch: [77][13750/14090]	Time 0.737 (0.751)	Data 0.001 (0.001)	Loss 1.8392 (1.8164)	Prec@1 51.562 (52.360)	Prec@5 79.688 (81.769)
Epoch: [77][13760/14090]	Time 0.778 (0.751)	Data 0.001 (0.001)	Loss 1.9831 (1.8165)	Prec@1 49.219 (52.359)	Prec@5 83.594 (81.769)
Epoch: [77][13770/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 1.9724 (1.8165)	Prec@1 53.906 (52.358)	Prec@5 79.688 (81.768)
Epoch: [77][13780/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 1.7840 (1.8165)	Prec@1 50.000 (52.358)	Prec@5 80.469 (81.768)
Epoch: [77][13790/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 1.6881 (1.8164)	Prec@1 55.469 (52.359)	Prec@5 84.375 (81.770)
Epoch: [77][13800/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 2.1739 (1.8165)	Prec@1 47.656 (52.359)	Prec@5 75.781 (81.769)
Epoch: [77][13810/14090]	Time 0.733 (0.751)	Data 0.001 (0.001)	Loss 1.9612 (1.8165)	Prec@1 50.781 (52.360)	Prec@5 78.906 (81.768)
Epoch: [77][13820/14090]	Time 0.762 (0.751)	Data 0.001 (0.001)	Loss 1.8046 (1.8166)	Prec@1 46.875 (52.359)	Prec@5 83.594 (81.768)
Epoch: [77][13830/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 1.9821 (1.8166)	Prec@1 49.219 (52.358)	Prec@5 82.031 (81.769)
Epoch: [77][13840/14090]	Time 0.765 (0.751)	Data 0.001 (0.001)	Loss 1.7464 (1.8166)	Prec@1 51.562 (52.358)	Prec@5 83.594 (81.769)
Epoch: [77][13850/14090]	Time 0.774 (0.751)	Data 0.001 (0.001)	Loss 1.6611 (1.8166)	Prec@1 57.812 (52.359)	Prec@5 85.156 (81.770)
Epoch: [77][13860/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 1.4386 (1.8165)	Prec@1 59.375 (52.361)	Prec@5 90.625 (81.771)
Epoch: [77][13870/14090]	Time 0.740 (0.751)	Data 0.001 (0.001)	Loss 1.9330 (1.8165)	Prec@1 51.562 (52.361)	Prec@5 80.469 (81.771)
Epoch: [77][13880/14090]	Time 0.741 (0.751)	Data 0.001 (0.001)	Loss 1.7657 (1.8165)	Prec@1 55.469 (52.361)	Prec@5 83.594 (81.771)
Epoch: [77][13890/14090]	Time 0.739 (0.751)	Data 0.001 (0.001)	Loss 1.6904 (1.8165)	Prec@1 52.344 (52.360)	Prec@5 86.719 (81.771)
Epoch: [77][13900/14090]	Time 0.760 (0.751)	Data 0.001 (0.001)	Loss 1.9225 (1.8165)	Prec@1 45.312 (52.359)	Prec@5 82.031 (81.773)
Epoch: [77][13910/14090]	Time 0.764 (0.751)	Data 0.001 (0.001)	Loss 1.7753 (1.8165)	Prec@1 53.906 (52.359)	Prec@5 82.031 (81.773)
Epoch: [77][13920/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 1.8660 (1.8165)	Prec@1 52.344 (52.359)	Prec@5 80.469 (81.773)
Epoch: [77][13930/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 1.4777 (1.8165)	Prec@1 64.062 (52.360)	Prec@5 88.281 (81.774)
Epoch: [77][13940/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 1.8437 (1.8164)	Prec@1 52.344 (52.361)	Prec@5 82.031 (81.775)
Epoch: [77][13950/14090]	Time 0.766 (0.751)	Data 0.001 (0.001)	Loss 1.8990 (1.8164)	Prec@1 50.781 (52.362)	Prec@5 80.469 (81.775)
Epoch: [77][13960/14090]	Time 0.740 (0.751)	Data 0.001 (0.001)	Loss 1.6736 (1.8164)	Prec@1 51.562 (52.362)	Prec@5 85.938 (81.774)
Epoch: [77][13970/14090]	Time 0.724 (0.751)	Data 0.001 (0.001)	Loss 1.7225 (1.8164)	Prec@1 55.469 (52.362)	Prec@5 80.469 (81.774)
Epoch: [77][13980/14090]	Time 0.742 (0.751)	Data 0.001 (0.001)	Loss 1.6313 (1.8164)	Prec@1 60.156 (52.363)	Prec@5 83.594 (81.775)
Epoch: [77][13990/14090]	Time 0.743 (0.751)	Data 0.001 (0.001)	Loss 1.7084 (1.8164)	Prec@1 56.250 (52.364)	Prec@5 85.156 (81.775)
Epoch: [77][14000/14090]	Time 0.777 (0.751)	Data 0.001 (0.001)	Loss 1.7734 (1.8164)	Prec@1 54.688 (52.363)	Prec@5 82.031 (81.775)
Epoch: [77][14010/14090]	Time 0.743 (0.751)	Data 0.001 (0.001)	Loss 1.9058 (1.8164)	Prec@1 50.781 (52.362)	Prec@5 80.469 (81.775)
Epoch: [77][14020/14090]	Time 0.784 (0.751)	Data 0.001 (0.001)	Loss 1.9827 (1.8164)	Prec@1 46.875 (52.363)	Prec@5 75.000 (81.775)
Epoch: [77][14030/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 1.7541 (1.8164)	Prec@1 53.125 (52.362)	Prec@5 82.031 (81.775)
Epoch: [77][14040/14090]	Time 0.730 (0.751)	Data 0.001 (0.001)	Loss 1.7051 (1.8164)	Prec@1 49.219 (52.363)	Prec@5 82.031 (81.775)
Epoch: [77][14050/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 1.7629 (1.8164)	Prec@1 54.688 (52.363)	Prec@5 81.250 (81.775)
Epoch: [77][14060/14090]	Time 0.731 (0.751)	Data 0.001 (0.001)	Loss 1.7665 (1.8163)	Prec@1 53.125 (52.364)	Prec@5 82.031 (81.774)
Epoch: [77][14070/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 1.6378 (1.8164)	Prec@1 59.375 (52.363)	Prec@5 82.031 (81.774)
Epoch: [77][14080/14090]	Time 0.739 (0.751)	Data 0.000 (0.001)	Loss 1.7450 (1.8163)	Prec@1 59.375 (52.365)	Prec@5 82.031 (81.775)
Test: [0/286]	Time 4.374 (4.374)	Loss 1.1667 (1.1667)	Prec@1 62.500 (62.500)	Prec@5 96.094 (96.094)
Test: [10/286]	Time 0.279 (0.694)	Loss 1.9428 (1.7717)	Prec@1 46.094 (53.480)	Prec@5 84.375 (84.162)
Test: [20/286]	Time 0.225 (0.525)	Loss 1.3006 (1.7210)	Prec@1 66.406 (54.390)	Prec@5 92.188 (84.747)
Test: [30/286]	Time 0.291 (0.470)	Loss 1.8793 (1.6485)	Prec@1 51.562 (56.830)	Prec@5 80.469 (85.207)
Test: [40/286]	Time 0.929 (0.455)	Loss 1.6682 (1.6694)	Prec@1 52.344 (56.364)	Prec@5 87.500 (85.271)
Test: [50/286]	Time 0.236 (0.435)	Loss 0.4572 (1.6612)	Prec@1 92.188 (56.235)	Prec@5 96.094 (85.509)
Test: [60/286]	Time 0.233 (0.421)	Loss 2.5777 (1.6975)	Prec@1 35.938 (55.494)	Prec@5 71.875 (84.439)
Test: [70/286]	Time 0.229 (0.413)	Loss 1.1084 (1.6790)	Prec@1 73.438 (55.832)	Prec@5 91.406 (84.672)
Test: [80/286]	Time 1.252 (0.416)	Loss 1.8867 (1.7098)	Prec@1 50.781 (54.958)	Prec@5 85.156 (84.365)
Test: [90/286]	Time 0.246 (0.411)	Loss 1.7954 (1.7174)	Prec@1 50.000 (54.894)	Prec@5 86.719 (84.281)
Test: [100/286]	Time 0.234 (0.407)	Loss 2.1391 (1.7323)	Prec@1 32.812 (54.185)	Prec@5 85.156 (84.267)
Test: [110/286]	Time 0.250 (0.400)	Loss 2.3591 (1.7490)	Prec@1 42.969 (53.702)	Prec@5 75.000 (84.220)
Test: [120/286]	Time 1.142 (0.403)	Loss 1.5192 (1.7335)	Prec@1 62.500 (54.171)	Prec@5 82.812 (84.388)
Test: [130/286]	Time 0.290 (0.399)	Loss 0.8700 (1.7244)	Prec@1 70.312 (54.395)	Prec@5 95.312 (84.476)
Test: [140/286]	Time 0.233 (0.395)	Loss 2.2941 (1.7149)	Prec@1 49.219 (54.577)	Prec@5 71.875 (84.525)
Test: [150/286]	Time 0.228 (0.392)	Loss 2.6588 (1.7248)	Prec@1 29.688 (54.134)	Prec@5 79.688 (84.510)
Test: [160/286]	Time 1.138 (0.395)	Loss 2.6729 (1.7222)	Prec@1 21.094 (54.183)	Prec@5 69.531 (84.511)
Test: [170/286]	Time 0.244 (0.392)	Loss 1.9899 (1.7182)	Prec@1 44.531 (54.190)	Prec@5 81.250 (84.617)
Test: [180/286]	Time 0.356 (0.390)	Loss 1.7475 (1.7256)	Prec@1 59.375 (54.014)	Prec@5 81.250 (84.535)
Test: [190/286]	Time 0.226 (0.388)	Loss 2.9566 (1.7450)	Prec@1 17.188 (53.542)	Prec@5 70.312 (84.375)
Test: [200/286]	Time 1.226 (0.391)	Loss 1.8457 (1.7393)	Prec@1 54.688 (53.646)	Prec@5 85.938 (84.433)
Test: [210/286]	Time 0.377 (0.390)	Loss 1.7373 (1.7412)	Prec@1 54.688 (53.569)	Prec@5 83.594 (84.412)
Test: [220/286]	Time 0.231 (0.387)	Loss 2.7108 (1.7446)	Prec@1 23.438 (53.524)	Prec@5 69.531 (84.308)
Test: [230/286]	Time 0.313 (0.386)	Loss 1.1680 (1.7442)	Prec@1 67.188 (53.595)	Prec@5 89.062 (84.284)
Test: [240/286]	Time 1.274 (0.388)	Loss 1.9688 (1.7426)	Prec@1 53.125 (53.647)	Prec@5 83.594 (84.352)
Test: [250/286]	Time 0.231 (0.387)	Loss 1.6788 (1.7357)	Prec@1 53.125 (53.695)	Prec@5 86.719 (84.521)
Test: [260/286]	Time 0.236 (0.385)	Loss 1.4410 (1.7247)	Prec@1 57.812 (53.939)	Prec@5 87.500 (84.695)
Test: [270/286]	Time 0.272 (0.384)	Loss 1.1517 (1.7257)	Prec@1 69.531 (53.967)	Prec@5 91.406 (84.695)
Test: [280/286]	Time 0.915 (0.385)	Loss 1.7048 (1.7101)	Prec@1 60.156 (54.498)	Prec@5 89.844 (84.853)
 * Prec@1 54.578 Prec@5 84.847
Epoch: [78][0/14090]	Time 5.456 (5.456)	Data 4.704 (4.704)	Loss 1.6309 (1.6309)	Prec@1 56.250 (56.250)	Prec@5 84.375 (84.375)
Epoch: [78][10/14090]	Time 0.749 (1.156)	Data 0.001 (0.428)	Loss 1.8309 (1.7896)	Prec@1 57.031 (52.131)	Prec@5 80.469 (81.747)
Epoch: [78][20/14090]	Time 0.747 (0.959)	Data 0.001 (0.225)	Loss 2.0873 (1.8048)	Prec@1 42.969 (51.600)	Prec@5 77.344 (81.585)
Epoch: [78][30/14090]	Time 0.729 (0.887)	Data 0.002 (0.153)	Loss 2.0811 (1.7975)	Prec@1 46.875 (52.419)	Prec@5 78.906 (81.477)
Epoch: [78][40/14090]	Time 0.739 (0.852)	Data 0.001 (0.116)	Loss 1.7511 (1.8197)	Prec@1 53.125 (52.248)	Prec@5 83.594 (81.002)
Epoch: [78][50/14090]	Time 0.756 (0.831)	Data 0.001 (0.093)	Loss 1.7362 (1.8248)	Prec@1 57.812 (52.359)	Prec@5 78.125 (80.913)
Epoch: [78][60/14090]	Time 0.758 (0.819)	Data 0.001 (0.078)	Loss 2.0087 (1.8169)	Prec@1 52.344 (52.318)	Prec@5 75.781 (81.224)
Epoch: [78][70/14090]	Time 0.732 (0.808)	Data 0.001 (0.067)	Loss 1.9296 (1.8196)	Prec@1 52.344 (52.421)	Prec@5 78.906 (81.151)
Epoch: [78][80/14090]	Time 0.745 (0.800)	Data 0.001 (0.059)	Loss 1.6900 (1.8052)	Prec@1 54.688 (52.758)	Prec@5 83.594 (81.404)
Epoch: [78][90/14090]	Time 0.776 (0.795)	Data 0.001 (0.053)	Loss 2.0265 (1.8014)	Prec@1 50.000 (53.065)	Prec@5 75.781 (81.533)
Epoch: [78][100/14090]	Time 0.741 (0.791)	Data 0.002 (0.047)	Loss 1.6013 (1.7984)	Prec@1 52.344 (53.102)	Prec@5 84.375 (81.598)
Epoch: [78][110/14090]	Time 0.757 (0.788)	Data 0.001 (0.043)	Loss 1.5296 (1.8027)	Prec@1 58.594 (52.998)	Prec@5 83.594 (81.482)
Epoch: [78][120/14090]	Time 0.754 (0.784)	Data 0.001 (0.040)	Loss 2.0226 (1.8058)	Prec@1 42.188 (52.757)	Prec@5 76.562 (81.405)
Epoch: [78][130/14090]	Time 0.763 (0.782)	Data 0.001 (0.037)	Loss 1.8487 (1.8033)	Prec@1 53.906 (52.863)	Prec@5 83.594 (81.500)
Epoch: [78][140/14090]	Time 0.751 (0.780)	Data 0.001 (0.034)	Loss 1.7937 (1.8024)	Prec@1 50.000 (52.876)	Prec@5 82.812 (81.533)
Epoch: [78][150/14090]	Time 0.739 (0.778)	Data 0.001 (0.032)	Loss 1.9154 (1.8024)	Prec@1 46.875 (52.846)	Prec@5 82.812 (81.576)
Epoch: [78][160/14090]	Time 0.752 (0.776)	Data 0.001 (0.030)	Loss 1.8960 (1.8028)	Prec@1 54.688 (52.810)	Prec@5 80.469 (81.628)
Epoch: [78][170/14090]	Time 0.765 (0.775)	Data 0.002 (0.028)	Loss 1.6628 (1.8006)	Prec@1 58.594 (52.801)	Prec@5 82.031 (81.762)
Epoch: [78][180/14090]	Time 0.759 (0.774)	Data 0.001 (0.027)	Loss 1.7759 (1.8025)	Prec@1 50.781 (52.737)	Prec@5 79.688 (81.738)
Epoch: [78][190/14090]	Time 0.743 (0.772)	Data 0.001 (0.026)	Loss 1.5831 (1.7997)	Prec@1 58.594 (52.786)	Prec@5 85.938 (81.794)
Epoch: [78][200/14090]	Time 0.719 (0.771)	Data 0.001 (0.024)	Loss 1.8811 (1.8022)	Prec@1 46.875 (52.662)	Prec@5 83.594 (81.786)
Epoch: [78][210/14090]	Time 0.758 (0.770)	Data 0.001 (0.023)	Loss 2.1411 (1.8025)	Prec@1 44.531 (52.695)	Prec@5 75.781 (81.761)
Epoch: [78][220/14090]	Time 0.750 (0.770)	Data 0.001 (0.022)	Loss 1.9017 (1.8026)	Prec@1 50.781 (52.683)	Prec@5 82.031 (81.756)
Epoch: [78][230/14090]	Time 0.788 (0.769)	Data 0.001 (0.021)	Loss 1.8881 (1.8024)	Prec@1 48.438 (52.672)	Prec@5 80.469 (81.795)
Epoch: [78][240/14090]	Time 0.751 (0.768)	Data 0.002 (0.020)	Loss 1.8468 (1.8004)	Prec@1 51.562 (52.713)	Prec@5 75.781 (81.869)
Epoch: [78][250/14090]	Time 0.743 (0.767)	Data 0.001 (0.020)	Loss 1.6960 (1.7993)	Prec@1 53.125 (52.739)	Prec@5 82.812 (81.866)
Epoch: [78][260/14090]	Time 0.736 (0.766)	Data 0.001 (0.019)	Loss 1.8749 (1.7972)	Prec@1 49.219 (52.733)	Prec@5 81.250 (81.935)
Epoch: [78][270/14090]	Time 0.762 (0.766)	Data 0.001 (0.018)	Loss 1.5365 (1.7976)	Prec@1 60.156 (52.736)	Prec@5 84.375 (81.939)
Epoch: [78][280/14090]	Time 0.777 (0.765)	Data 0.001 (0.018)	Loss 1.6921 (1.7967)	Prec@1 58.594 (52.739)	Prec@5 83.594 (81.948)
Epoch: [78][290/14090]	Time 0.760 (0.765)	Data 0.001 (0.017)	Loss 1.7541 (1.7929)	Prec@1 50.781 (52.789)	Prec@5 82.812 (82.004)
Epoch: [78][300/14090]	Time 0.748 (0.764)	Data 0.001 (0.017)	Loss 1.4654 (1.7920)	Prec@1 58.594 (52.798)	Prec@5 85.938 (82.062)
Epoch: [78][310/14090]	Time 0.756 (0.764)	Data 0.002 (0.016)	Loss 1.5265 (1.7919)	Prec@1 54.688 (52.801)	Prec@5 84.375 (82.044)
Epoch: [78][320/14090]	Time 0.736 (0.763)	Data 0.001 (0.016)	Loss 1.6078 (1.7921)	Prec@1 57.031 (52.801)	Prec@5 84.375 (82.026)
Epoch: [78][330/14090]	Time 0.754 (0.763)	Data 0.001 (0.015)	Loss 1.4815 (1.7901)	Prec@1 62.500 (52.894)	Prec@5 89.844 (82.081)
Epoch: [78][340/14090]	Time 0.735 (0.763)	Data 0.001 (0.015)	Loss 1.7863 (1.7914)	Prec@1 55.469 (52.875)	Prec@5 82.812 (82.079)
Epoch: [78][350/14090]	Time 0.762 (0.762)	Data 0.001 (0.014)	Loss 1.6199 (1.7923)	Prec@1 54.688 (52.882)	Prec@5 84.375 (82.049)
Epoch: [78][360/14090]	Time 0.753 (0.762)	Data 0.001 (0.014)	Loss 1.9182 (1.7927)	Prec@1 51.562 (52.872)	Prec@5 77.344 (82.025)
Epoch: [78][370/14090]	Time 0.756 (0.762)	Data 0.001 (0.014)	Loss 1.8973 (1.7924)	Prec@1 55.469 (52.885)	Prec@5 79.688 (82.023)
Epoch: [78][380/14090]	Time 0.727 (0.761)	Data 0.002 (0.013)	Loss 1.9437 (1.7923)	Prec@1 53.125 (52.883)	Prec@5 79.688 (82.009)
Epoch: [78][390/14090]	Time 0.748 (0.761)	Data 0.001 (0.013)	Loss 1.6695 (1.7916)	Prec@1 53.906 (52.889)	Prec@5 84.375 (82.047)
Epoch: [78][400/14090]	Time 0.745 (0.761)	Data 0.001 (0.013)	Loss 2.0311 (1.7940)	Prec@1 44.531 (52.839)	Prec@5 78.906 (82.004)
Epoch: [78][410/14090]	Time 0.780 (0.760)	Data 0.001 (0.012)	Loss 1.7215 (1.7928)	Prec@1 53.125 (52.836)	Prec@5 84.375 (82.020)
Epoch: [78][420/14090]	Time 0.738 (0.760)	Data 0.001 (0.012)	Loss 1.6717 (1.7932)	Prec@1 56.250 (52.845)	Prec@5 85.938 (82.042)
Epoch: [78][430/14090]	Time 0.742 (0.760)	Data 0.001 (0.012)	Loss 1.7533 (1.7944)	Prec@1 50.781 (52.797)	Prec@5 82.031 (82.019)
Epoch: [78][440/14090]	Time 0.748 (0.760)	Data 0.001 (0.012)	Loss 1.8674 (1.7955)	Prec@1 53.125 (52.811)	Prec@5 82.812 (82.012)
Epoch: [78][450/14090]	Time 0.756 (0.760)	Data 0.002 (0.011)	Loss 1.6245 (1.7960)	Prec@1 55.469 (52.763)	Prec@5 84.375 (81.997)
Epoch: [78][460/14090]	Time 0.774 (0.760)	Data 0.001 (0.011)	Loss 1.6397 (1.7958)	Prec@1 57.812 (52.801)	Prec@5 84.375 (82.011)
Epoch: [78][470/14090]	Time 0.744 (0.759)	Data 0.001 (0.011)	Loss 1.5929 (1.7960)	Prec@1 58.594 (52.763)	Prec@5 84.375 (82.003)
Epoch: [78][480/14090]	Time 0.759 (0.759)	Data 0.001 (0.011)	Loss 1.5051 (1.7974)	Prec@1 59.375 (52.714)	Prec@5 82.031 (81.976)
Epoch: [78][490/14090]	Time 0.754 (0.759)	Data 0.001 (0.010)	Loss 1.6496 (1.7974)	Prec@1 59.375 (52.710)	Prec@5 82.812 (81.984)
Epoch: [78][500/14090]	Time 0.735 (0.759)	Data 0.001 (0.010)	Loss 1.8672 (1.7981)	Prec@1 50.781 (52.682)	Prec@5 78.125 (81.960)
Epoch: [78][510/14090]	Time 0.755 (0.759)	Data 0.001 (0.010)	Loss 1.6629 (1.7987)	Prec@1 59.375 (52.680)	Prec@5 82.031 (81.944)
Epoch: [78][520/14090]	Time 0.734 (0.758)	Data 0.002 (0.010)	Loss 1.4845 (1.7972)	Prec@1 57.812 (52.698)	Prec@5 90.625 (81.989)
Epoch: [78][530/14090]	Time 0.758 (0.758)	Data 0.001 (0.010)	Loss 1.7396 (1.7974)	Prec@1 50.781 (52.688)	Prec@5 84.375 (81.989)
Epoch: [78][540/14090]	Time 0.746 (0.758)	Data 0.001 (0.010)	Loss 1.7624 (1.7980)	Prec@1 50.781 (52.650)	Prec@5 82.031 (81.995)
Epoch: [78][550/14090]	Time 0.763 (0.758)	Data 0.001 (0.009)	Loss 1.8600 (1.7990)	Prec@1 53.906 (52.644)	Prec@5 78.125 (81.973)
Epoch: [78][560/14090]	Time 0.745 (0.758)	Data 0.001 (0.009)	Loss 1.7134 (1.7982)	Prec@1 59.375 (52.665)	Prec@5 83.594 (82.005)
Epoch: [78][570/14090]	Time 0.726 (0.758)	Data 0.001 (0.009)	Loss 1.4822 (1.7972)	Prec@1 60.156 (52.693)	Prec@5 87.500 (82.024)
Epoch: [78][580/14090]	Time 0.743 (0.757)	Data 0.001 (0.009)	Loss 1.5329 (1.7967)	Prec@1 56.250 (52.704)	Prec@5 87.500 (82.039)
Epoch: [78][590/14090]	Time 0.738 (0.757)	Data 0.002 (0.009)	Loss 1.8809 (1.7953)	Prec@1 54.688 (52.742)	Prec@5 77.344 (82.076)
Epoch: [78][600/14090]	Time 0.756 (0.757)	Data 0.001 (0.009)	Loss 1.8757 (1.7957)	Prec@1 49.219 (52.745)	Prec@5 78.125 (82.078)
Epoch: [78][610/14090]	Time 0.728 (0.757)	Data 0.001 (0.009)	Loss 1.7245 (1.7943)	Prec@1 56.250 (52.773)	Prec@5 82.031 (82.109)
Epoch: [78][620/14090]	Time 0.761 (0.757)	Data 0.001 (0.008)	Loss 1.6944 (1.7955)	Prec@1 48.438 (52.720)	Prec@5 85.156 (82.079)
Epoch: [78][630/14090]	Time 0.739 (0.757)	Data 0.001 (0.008)	Loss 1.7950 (1.7958)	Prec@1 53.906 (52.716)	Prec@5 82.031 (82.083)
Epoch: [78][640/14090]	Time 0.751 (0.757)	Data 0.001 (0.008)	Loss 1.7940 (1.7945)	Prec@1 50.000 (52.731)	Prec@5 79.688 (82.100)
Epoch: [78][650/14090]	Time 0.731 (0.757)	Data 0.001 (0.008)	Loss 1.6684 (1.7946)	Prec@1 57.812 (52.736)	Prec@5 84.375 (82.091)
Epoch: [78][660/14090]	Time 0.753 (0.756)	Data 0.002 (0.008)	Loss 1.6948 (1.7955)	Prec@1 53.906 (52.703)	Prec@5 84.375 (82.084)
Epoch: [78][670/14090]	Time 0.750 (0.756)	Data 0.001 (0.008)	Loss 2.0307 (1.7954)	Prec@1 51.562 (52.730)	Prec@5 76.562 (82.073)
Epoch: [78][680/14090]	Time 0.755 (0.756)	Data 0.001 (0.008)	Loss 1.8250 (1.7955)	Prec@1 53.906 (52.743)	Prec@5 81.250 (82.069)
Epoch: [78][690/14090]	Time 0.767 (0.756)	Data 0.001 (0.008)	Loss 1.8667 (1.7948)	Prec@1 55.469 (52.749)	Prec@5 75.000 (82.074)
Epoch: [78][700/14090]	Time 0.749 (0.756)	Data 0.001 (0.008)	Loss 1.5976 (1.7942)	Prec@1 61.719 (52.765)	Prec@5 83.594 (82.091)
Epoch: [78][710/14090]	Time 0.732 (0.756)	Data 0.001 (0.008)	Loss 2.0199 (1.7942)	Prec@1 46.094 (52.768)	Prec@5 76.562 (82.109)
Epoch: [78][720/14090]	Time 0.796 (0.756)	Data 0.001 (0.007)	Loss 1.3790 (1.7947)	Prec@1 63.281 (52.777)	Prec@5 86.719 (82.116)
Epoch: [78][730/14090]	Time 0.738 (0.756)	Data 0.002 (0.007)	Loss 1.9069 (1.7956)	Prec@1 50.781 (52.748)	Prec@5 75.781 (82.093)
Epoch: [78][740/14090]	Time 0.759 (0.755)	Data 0.001 (0.007)	Loss 1.8120 (1.7961)	Prec@1 51.562 (52.741)	Prec@5 80.469 (82.080)
Epoch: [78][750/14090]	Time 0.758 (0.755)	Data 0.001 (0.007)	Loss 1.8244 (1.7960)	Prec@1 57.031 (52.752)	Prec@5 82.031 (82.083)
Epoch: [78][760/14090]	Time 0.738 (0.755)	Data 0.001 (0.007)	Loss 1.7483 (1.7951)	Prec@1 57.031 (52.763)	Prec@5 82.812 (82.106)
Epoch: [78][770/14090]	Time 0.770 (0.755)	Data 0.001 (0.007)	Loss 1.5408 (1.7946)	Prec@1 59.375 (52.766)	Prec@5 85.938 (82.119)
Epoch: [78][780/14090]	Time 0.728 (0.755)	Data 0.001 (0.007)	Loss 1.7788 (1.7938)	Prec@1 54.688 (52.770)	Prec@5 78.906 (82.141)
Epoch: [78][790/14090]	Time 0.726 (0.755)	Data 0.001 (0.007)	Loss 2.0250 (1.7938)	Prec@1 50.000 (52.768)	Prec@5 78.125 (82.141)
Epoch: [78][800/14090]	Time 0.740 (0.755)	Data 0.002 (0.007)	Loss 2.0137 (1.7943)	Prec@1 49.219 (52.742)	Prec@5 82.812 (82.139)
Epoch: [78][810/14090]	Time 0.744 (0.755)	Data 0.001 (0.007)	Loss 1.8474 (1.7947)	Prec@1 52.344 (52.737)	Prec@5 82.031 (82.125)
Epoch: [78][820/14090]	Time 0.753 (0.755)	Data 0.001 (0.007)	Loss 1.8209 (1.7956)	Prec@1 50.781 (52.728)	Prec@5 81.250 (82.107)
Epoch: [78][830/14090]	Time 0.723 (0.755)	Data 0.001 (0.007)	Loss 1.9298 (1.7951)	Prec@1 50.781 (52.739)	Prec@5 75.781 (82.111)
Epoch: [78][840/14090]	Time 0.748 (0.755)	Data 0.001 (0.007)	Loss 1.7130 (1.7950)	Prec@1 51.562 (52.743)	Prec@5 80.469 (82.110)
Epoch: [78][850/14090]	Time 0.771 (0.755)	Data 0.001 (0.006)	Loss 1.7894 (1.7945)	Prec@1 55.469 (52.769)	Prec@5 82.812 (82.130)
Epoch: [78][860/14090]	Time 0.727 (0.754)	Data 0.001 (0.006)	Loss 1.8057 (1.7957)	Prec@1 53.906 (52.757)	Prec@5 83.594 (82.104)
Epoch: [78][870/14090]	Time 0.753 (0.754)	Data 0.002 (0.006)	Loss 1.8848 (1.7960)	Prec@1 54.688 (52.761)	Prec@5 81.250 (82.103)
Epoch: [78][880/14090]	Time 0.749 (0.754)	Data 0.001 (0.006)	Loss 1.9126 (1.7973)	Prec@1 51.562 (52.739)	Prec@5 80.469 (82.073)
Epoch: [78][890/14090]	Time 0.734 (0.754)	Data 0.001 (0.006)	Loss 1.5967 (1.7966)	Prec@1 55.469 (52.764)	Prec@5 86.719 (82.088)
Epoch: [78][900/14090]	Time 0.745 (0.754)	Data 0.001 (0.006)	Loss 1.7546 (1.7968)	Prec@1 50.781 (52.764)	Prec@5 82.031 (82.087)
Epoch: [78][910/14090]	Time 0.727 (0.754)	Data 0.001 (0.006)	Loss 1.8349 (1.7971)	Prec@1 52.344 (52.768)	Prec@5 79.688 (82.085)
Epoch: [78][920/14090]	Time 0.752 (0.754)	Data 0.001 (0.006)	Loss 1.8596 (1.7970)	Prec@1 57.031 (52.777)	Prec@5 81.250 (82.086)
Epoch: [78][930/14090]	Time 0.738 (0.754)	Data 0.001 (0.006)	Loss 1.8629 (1.7974)	Prec@1 51.562 (52.773)	Prec@5 80.469 (82.074)
Epoch: [78][940/14090]	Time 0.728 (0.754)	Data 0.002 (0.006)	Loss 1.6450 (1.7976)	Prec@1 57.812 (52.780)	Prec@5 83.594 (82.063)
Epoch: [78][950/14090]	Time 0.737 (0.754)	Data 0.001 (0.006)	Loss 1.9530 (1.7965)	Prec@1 50.000 (52.807)	Prec@5 79.688 (82.081)
Epoch: [78][960/14090]	Time 0.776 (0.754)	Data 0.001 (0.006)	Loss 1.7776 (1.7969)	Prec@1 52.344 (52.799)	Prec@5 82.031 (82.084)
Epoch: [78][970/14090]	Time 0.756 (0.754)	Data 0.001 (0.006)	Loss 1.9485 (1.7972)	Prec@1 48.438 (52.785)	Prec@5 84.375 (82.081)
Epoch: [78][980/14090]	Time 0.739 (0.754)	Data 0.001 (0.006)	Loss 1.5523 (1.7968)	Prec@1 53.906 (52.784)	Prec@5 85.938 (82.083)
Epoch: [78][990/14090]	Time 0.746 (0.754)	Data 0.001 (0.006)	Loss 1.9295 (1.7969)	Prec@1 48.438 (52.766)	Prec@5 81.250 (82.084)
Epoch: [78][1000/14090]	Time 0.738 (0.754)	Data 0.001 (0.006)	Loss 1.8730 (1.7976)	Prec@1 50.781 (52.750)	Prec@5 85.156 (82.077)
Epoch: [78][1010/14090]	Time 0.780 (0.754)	Data 0.002 (0.006)	Loss 1.8494 (1.7984)	Prec@1 55.469 (52.753)	Prec@5 81.250 (82.068)
Epoch: [78][1020/14090]	Time 0.756 (0.754)	Data 0.001 (0.006)	Loss 1.9252 (1.7990)	Prec@1 51.562 (52.737)	Prec@5 78.125 (82.064)
Epoch: [78][1030/14090]	Time 0.771 (0.754)	Data 0.001 (0.005)	Loss 1.7396 (1.7989)	Prec@1 57.031 (52.735)	Prec@5 82.812 (82.057)
Epoch: [78][1040/14090]	Time 0.737 (0.754)	Data 0.001 (0.005)	Loss 1.5412 (1.7991)	Prec@1 60.938 (52.744)	Prec@5 87.500 (82.060)
Epoch: [78][1050/14090]	Time 0.758 (0.754)	Data 0.001 (0.005)	Loss 1.9130 (1.7988)	Prec@1 55.469 (52.762)	Prec@5 77.344 (82.061)
Epoch: [78][1060/14090]	Time 0.740 (0.754)	Data 0.001 (0.005)	Loss 1.7865 (1.7983)	Prec@1 57.812 (52.776)	Prec@5 82.812 (82.066)
Epoch: [78][1070/14090]	Time 0.742 (0.753)	Data 0.001 (0.005)	Loss 1.5319 (1.7986)	Prec@1 57.031 (52.771)	Prec@5 85.156 (82.057)
Epoch: [78][1080/14090]	Time 0.746 (0.753)	Data 0.002 (0.005)	Loss 1.7666 (1.7990)	Prec@1 54.688 (52.759)	Prec@5 81.250 (82.056)
Epoch: [78][1090/14090]	Time 0.769 (0.753)	Data 0.001 (0.005)	Loss 1.8823 (1.8000)	Prec@1 50.781 (52.745)	Prec@5 75.781 (82.037)
Epoch: [78][1100/14090]	Time 0.761 (0.753)	Data 0.001 (0.005)	Loss 1.7017 (1.8012)	Prec@1 52.344 (52.723)	Prec@5 81.250 (82.013)
Epoch: [78][1110/14090]	Time 0.729 (0.753)	Data 0.001 (0.005)	Loss 1.9045 (1.8013)	Prec@1 46.094 (52.723)	Prec@5 82.812 (82.008)
Epoch: [78][1120/14090]	Time 0.766 (0.753)	Data 0.001 (0.005)	Loss 1.7371 (1.8013)	Prec@1 53.125 (52.722)	Prec@5 82.812 (82.010)
Epoch: [78][1130/14090]	Time 0.733 (0.753)	Data 0.001 (0.005)	Loss 1.6244 (1.8017)	Prec@1 53.906 (52.696)	Prec@5 85.156 (82.006)
Epoch: [78][1140/14090]	Time 0.737 (0.753)	Data 0.001 (0.005)	Loss 1.8598 (1.8014)	Prec@1 55.469 (52.705)	Prec@5 79.688 (82.005)
Epoch: [78][1150/14090]	Time 0.758 (0.753)	Data 0.002 (0.005)	Loss 1.7027 (1.8014)	Prec@1 55.469 (52.701)	Prec@5 86.719 (82.008)
Epoch: [78][1160/14090]	Time 0.731 (0.753)	Data 0.001 (0.005)	Loss 1.8061 (1.8014)	Prec@1 56.250 (52.692)	Prec@5 82.031 (82.010)
Epoch: [78][1170/14090]	Time 0.759 (0.753)	Data 0.001 (0.005)	Loss 1.9958 (1.8015)	Prec@1 50.000 (52.686)	Prec@5 75.781 (82.009)
Epoch: [78][1180/14090]	Time 0.780 (0.753)	Data 0.001 (0.005)	Loss 1.7822 (1.8017)	Prec@1 59.375 (52.698)	Prec@5 83.594 (82.009)
Epoch: [78][1190/14090]	Time 0.734 (0.753)	Data 0.001 (0.005)	Loss 1.6385 (1.8010)	Prec@1 57.031 (52.718)	Prec@5 85.938 (82.015)
Epoch: [78][1200/14090]	Time 0.771 (0.753)	Data 0.001 (0.005)	Loss 1.7131 (1.8005)	Prec@1 53.125 (52.728)	Prec@5 85.156 (82.022)
Epoch: [78][1210/14090]	Time 0.758 (0.753)	Data 0.001 (0.005)	Loss 1.6256 (1.8005)	Prec@1 54.688 (52.735)	Prec@5 82.812 (82.020)
Epoch: [78][1220/14090]	Time 0.736 (0.753)	Data 0.002 (0.005)	Loss 1.8830 (1.8000)	Prec@1 50.781 (52.742)	Prec@5 78.906 (82.031)
Epoch: [78][1230/14090]	Time 0.736 (0.753)	Data 0.001 (0.005)	Loss 1.8575 (1.8002)	Prec@1 54.688 (52.758)	Prec@5 78.906 (82.024)
Epoch: [78][1240/14090]	Time 0.743 (0.753)	Data 0.001 (0.005)	Loss 1.8467 (1.8002)	Prec@1 51.562 (52.754)	Prec@5 82.031 (82.020)
Epoch: [78][1250/14090]	Time 0.778 (0.753)	Data 0.001 (0.005)	Loss 1.8819 (1.7997)	Prec@1 60.156 (52.777)	Prec@5 81.250 (82.029)
Epoch: [78][1260/14090]	Time 0.746 (0.753)	Data 0.001 (0.005)	Loss 1.5582 (1.7997)	Prec@1 57.812 (52.774)	Prec@5 84.375 (82.023)
Epoch: [78][1270/14090]	Time 0.729 (0.753)	Data 0.001 (0.005)	Loss 1.8844 (1.8003)	Prec@1 47.656 (52.760)	Prec@5 75.781 (82.006)
Epoch: [78][1280/14090]	Time 0.736 (0.753)	Data 0.001 (0.005)	Loss 1.8466 (1.8010)	Prec@1 53.125 (52.757)	Prec@5 80.469 (81.992)
Epoch: [78][1290/14090]	Time 0.748 (0.753)	Data 0.003 (0.005)	Loss 1.8346 (1.8013)	Prec@1 52.344 (52.749)	Prec@5 83.594 (81.983)
Epoch: [78][1300/14090]	Time 0.747 (0.753)	Data 0.001 (0.005)	Loss 1.7871 (1.8006)	Prec@1 54.688 (52.763)	Prec@5 82.812 (81.995)
Epoch: [78][1310/14090]	Time 0.733 (0.753)	Data 0.001 (0.005)	Loss 1.6833 (1.8002)	Prec@1 57.031 (52.794)	Prec@5 82.031 (81.993)
Epoch: [78][1320/14090]	Time 0.771 (0.753)	Data 0.001 (0.004)	Loss 1.8878 (1.8004)	Prec@1 52.344 (52.785)	Prec@5 80.469 (81.989)
Epoch: [78][1330/14090]	Time 0.761 (0.753)	Data 0.001 (0.004)	Loss 1.6449 (1.8009)	Prec@1 54.688 (52.769)	Prec@5 82.812 (81.980)
Epoch: [78][1340/14090]	Time 0.778 (0.753)	Data 0.001 (0.004)	Loss 1.4945 (1.8006)	Prec@1 59.375 (52.775)	Prec@5 84.375 (81.983)
Epoch: [78][1350/14090]	Time 0.762 (0.753)	Data 0.001 (0.004)	Loss 1.9360 (1.8009)	Prec@1 52.344 (52.772)	Prec@5 80.469 (81.986)
Epoch: [78][1360/14090]	Time 0.735 (0.753)	Data 0.002 (0.004)	Loss 1.7233 (1.8009)	Prec@1 53.906 (52.766)	Prec@5 79.688 (81.984)
Epoch: [78][1370/14090]	Time 0.755 (0.753)	Data 0.001 (0.004)	Loss 1.9096 (1.8004)	Prec@1 42.969 (52.777)	Prec@5 82.812 (81.994)
Epoch: [78][1380/14090]	Time 0.726 (0.753)	Data 0.001 (0.004)	Loss 1.7690 (1.8002)	Prec@1 52.344 (52.783)	Prec@5 85.156 (81.995)
Epoch: [78][1390/14090]	Time 0.748 (0.752)	Data 0.001 (0.004)	Loss 1.8143 (1.8007)	Prec@1 53.125 (52.776)	Prec@5 81.250 (81.988)
Epoch: [78][1400/14090]	Time 0.763 (0.752)	Data 0.001 (0.004)	Loss 1.7164 (1.8010)	Prec@1 57.812 (52.764)	Prec@5 81.250 (81.991)
Epoch: [78][1410/14090]	Time 0.736 (0.752)	Data 0.001 (0.004)	Loss 1.8660 (1.8008)	Prec@1 50.000 (52.781)	Prec@5 84.375 (81.988)
Epoch: [78][1420/14090]	Time 0.742 (0.752)	Data 0.001 (0.004)	Loss 1.7303 (1.8008)	Prec@1 53.906 (52.781)	Prec@5 85.156 (81.991)
Epoch: [78][1430/14090]	Time 0.743 (0.752)	Data 0.002 (0.004)	Loss 1.5869 (1.8006)	Prec@1 55.469 (52.787)	Prec@5 85.938 (81.997)
Epoch: [78][1440/14090]	Time 0.743 (0.752)	Data 0.001 (0.004)	Loss 1.7059 (1.8003)	Prec@1 54.688 (52.795)	Prec@5 84.375 (82.003)
Epoch: [78][1450/14090]	Time 0.755 (0.752)	Data 0.001 (0.004)	Loss 1.9861 (1.8000)	Prec@1 49.219 (52.800)	Prec@5 78.125 (82.004)
Epoch: [78][1460/14090]	Time 0.730 (0.752)	Data 0.001 (0.004)	Loss 1.8520 (1.8002)	Prec@1 50.781 (52.799)	Prec@5 81.250 (81.996)
Epoch: [78][1470/14090]	Time 0.773 (0.752)	Data 0.001 (0.004)	Loss 1.8117 (1.8004)	Prec@1 57.812 (52.788)	Prec@5 80.469 (82.002)
Epoch: [78][1480/14090]	Time 0.753 (0.752)	Data 0.001 (0.004)	Loss 1.6800 (1.8002)	Prec@1 57.031 (52.795)	Prec@5 84.375 (82.005)
Epoch: [78][1490/14090]	Time 0.744 (0.752)	Data 0.001 (0.004)	Loss 1.6122 (1.8002)	Prec@1 59.375 (52.799)	Prec@5 86.719 (82.013)
Epoch: [78][1500/14090]	Time 0.749 (0.752)	Data 0.002 (0.004)	Loss 1.8870 (1.8005)	Prec@1 49.219 (52.784)	Prec@5 79.688 (82.007)
Epoch: [78][1510/14090]	Time 0.744 (0.752)	Data 0.001 (0.004)	Loss 1.5701 (1.8006)	Prec@1 58.594 (52.784)	Prec@5 85.156 (82.009)
Epoch: [78][1520/14090]	Time 0.736 (0.752)	Data 0.001 (0.004)	Loss 1.5929 (1.8000)	Prec@1 57.031 (52.794)	Prec@5 89.062 (82.029)
Epoch: [78][1530/14090]	Time 0.734 (0.752)	Data 0.001 (0.004)	Loss 1.6047 (1.7998)	Prec@1 54.688 (52.794)	Prec@5 85.156 (82.039)
Epoch: [78][1540/14090]	Time 0.734 (0.752)	Data 0.001 (0.004)	Loss 1.7246 (1.7994)	Prec@1 55.469 (52.804)	Prec@5 79.688 (82.040)
Epoch: [78][1550/14090]	Time 0.761 (0.752)	Data 0.001 (0.004)	Loss 1.8430 (1.7994)	Prec@1 52.344 (52.806)	Prec@5 82.812 (82.043)
Epoch: [78][1560/14090]	Time 0.749 (0.752)	Data 0.001 (0.004)	Loss 1.6982 (1.7992)	Prec@1 55.469 (52.805)	Prec@5 86.719 (82.051)
Epoch: [78][1570/14090]	Time 0.735 (0.752)	Data 0.003 (0.004)	Loss 1.7125 (1.7986)	Prec@1 56.250 (52.813)	Prec@5 78.125 (82.056)
Epoch: [78][1580/14090]	Time 0.749 (0.752)	Data 0.001 (0.004)	Loss 1.8489 (1.7989)	Prec@1 50.000 (52.804)	Prec@5 83.594 (82.055)
Epoch: [78][1590/14090]	Time 0.750 (0.752)	Data 0.001 (0.004)	Loss 1.7732 (1.7983)	Prec@1 47.656 (52.811)	Prec@5 82.812 (82.072)
Epoch: [78][1600/14090]	Time 0.731 (0.752)	Data 0.001 (0.004)	Loss 1.8689 (1.7981)	Prec@1 48.438 (52.812)	Prec@5 80.469 (82.074)
Epoch: [78][1610/14090]	Time 0.725 (0.752)	Data 0.001 (0.004)	Loss 1.8276 (1.7977)	Prec@1 51.562 (52.807)	Prec@5 81.250 (82.084)
Epoch: [78][1620/14090]	Time 0.741 (0.752)	Data 0.001 (0.004)	Loss 1.8001 (1.7977)	Prec@1 50.000 (52.803)	Prec@5 82.031 (82.084)
Epoch: [78][1630/14090]	Time 0.743 (0.752)	Data 0.001 (0.004)	Loss 1.9362 (1.7982)	Prec@1 53.906 (52.793)	Prec@5 78.125 (82.072)
Epoch: [78][1640/14090]	Time 0.780 (0.752)	Data 0.002 (0.004)	Loss 1.5509 (1.7981)	Prec@1 56.250 (52.797)	Prec@5 86.719 (82.073)
Epoch: [78][1650/14090]	Time 0.743 (0.752)	Data 0.001 (0.004)	Loss 1.8026 (1.7981)	Prec@1 46.875 (52.787)	Prec@5 82.031 (82.074)
Epoch: [78][1660/14090]	Time 0.766 (0.752)	Data 0.001 (0.004)	Loss 1.7356 (1.7981)	Prec@1 52.344 (52.786)	Prec@5 81.250 (82.074)
Epoch: [78][1670/14090]	Time 0.746 (0.752)	Data 0.001 (0.004)	Loss 1.7331 (1.7983)	Prec@1 54.688 (52.783)	Prec@5 80.469 (82.067)
Epoch: [78][1680/14090]	Time 0.736 (0.752)	Data 0.001 (0.004)	Loss 1.7958 (1.7990)	Prec@1 50.781 (52.775)	Prec@5 84.375 (82.052)
Epoch: [78][1690/14090]	Time 0.757 (0.752)	Data 0.001 (0.004)	Loss 1.7099 (1.7989)	Prec@1 57.031 (52.775)	Prec@5 81.250 (82.049)
Epoch: [78][1700/14090]	Time 0.733 (0.752)	Data 0.001 (0.004)	Loss 1.9485 (1.7987)	Prec@1 49.219 (52.770)	Prec@5 78.125 (82.049)
Epoch: [78][1710/14090]	Time 0.738 (0.752)	Data 0.002 (0.004)	Loss 1.6639 (1.7992)	Prec@1 57.031 (52.766)	Prec@5 81.250 (82.036)
Epoch: [78][1720/14090]	Time 0.737 (0.752)	Data 0.001 (0.004)	Loss 2.3394 (1.7998)	Prec@1 40.625 (52.750)	Prec@5 69.531 (82.020)
Epoch: [78][1730/14090]	Time 0.747 (0.752)	Data 0.001 (0.004)	Loss 1.6946 (1.7998)	Prec@1 53.125 (52.754)	Prec@5 85.156 (82.019)
Epoch: [78][1740/14090]	Time 0.763 (0.752)	Data 0.001 (0.004)	Loss 2.0608 (1.7997)	Prec@1 50.000 (52.750)	Prec@5 75.000 (82.022)
Epoch: [78][1750/14090]	Time 0.766 (0.752)	Data 0.001 (0.004)	Loss 1.7303 (1.7996)	Prec@1 55.469 (52.749)	Prec@5 82.812 (82.025)
Epoch: [78][1760/14090]	Time 0.763 (0.752)	Data 0.001 (0.004)	Loss 1.8488 (1.7996)	Prec@1 57.812 (52.753)	Prec@5 79.688 (82.029)
Epoch: [78][1770/14090]	Time 0.736 (0.752)	Data 0.001 (0.004)	Loss 1.8371 (1.7997)	Prec@1 53.125 (52.757)	Prec@5 83.594 (82.021)
Epoch: [78][1780/14090]	Time 0.733 (0.752)	Data 0.002 (0.004)	Loss 1.7893 (1.8000)	Prec@1 45.312 (52.750)	Prec@5 81.250 (82.014)
Epoch: [78][1790/14090]	Time 0.741 (0.752)	Data 0.001 (0.004)	Loss 1.6758 (1.8001)	Prec@1 57.812 (52.752)	Prec@5 81.250 (82.010)
Epoch: [78][1800/14090]	Time 0.739 (0.752)	Data 0.001 (0.004)	Loss 1.8989 (1.8004)	Prec@1 47.656 (52.754)	Prec@5 82.031 (81.997)
Epoch: [78][1810/14090]	Time 0.751 (0.752)	Data 0.001 (0.004)	Loss 1.7498 (1.8003)	Prec@1 53.906 (52.760)	Prec@5 82.031 (81.996)
Epoch: [78][1820/14090]	Time 0.747 (0.752)	Data 0.001 (0.004)	Loss 1.6718 (1.8000)	Prec@1 57.812 (52.773)	Prec@5 85.938 (82.002)
Epoch: [78][1830/14090]	Time 0.756 (0.752)	Data 0.001 (0.003)	Loss 1.9640 (1.8002)	Prec@1 48.438 (52.763)	Prec@5 73.438 (81.990)
Epoch: [78][1840/14090]	Time 0.735 (0.752)	Data 0.001 (0.003)	Loss 1.8968 (1.8003)	Prec@1 52.344 (52.758)	Prec@5 83.594 (81.992)
Epoch: [78][1850/14090]	Time 0.734 (0.751)	Data 0.002 (0.003)	Loss 2.0352 (1.8007)	Prec@1 50.781 (52.751)	Prec@5 77.344 (81.984)
Epoch: [78][1860/14090]	Time 0.757 (0.751)	Data 0.001 (0.003)	Loss 1.8200 (1.8000)	Prec@1 53.906 (52.779)	Prec@5 81.250 (81.997)
Epoch: [78][1870/14090]	Time 0.761 (0.751)	Data 0.001 (0.003)	Loss 1.7896 (1.7999)	Prec@1 56.250 (52.776)	Prec@5 80.469 (82.002)
Epoch: [78][1880/14090]	Time 0.725 (0.751)	Data 0.001 (0.003)	Loss 1.8679 (1.8002)	Prec@1 53.906 (52.768)	Prec@5 85.156 (81.996)
Epoch: [78][1890/14090]	Time 0.756 (0.751)	Data 0.001 (0.003)	Loss 1.8068 (1.8002)	Prec@1 57.812 (52.768)	Prec@5 83.594 (81.999)
Epoch: [78][1900/14090]	Time 0.733 (0.751)	Data 0.001 (0.003)	Loss 1.7051 (1.8001)	Prec@1 54.688 (52.775)	Prec@5 82.812 (81.999)
Epoch: [78][1910/14090]	Time 0.750 (0.751)	Data 0.001 (0.003)	Loss 1.7963 (1.8000)	Prec@1 55.469 (52.778)	Prec@5 78.125 (81.998)
Epoch: [78][1920/14090]	Time 0.735 (0.751)	Data 0.002 (0.003)	Loss 2.1673 (1.8007)	Prec@1 44.531 (52.764)	Prec@5 72.656 (81.990)
Epoch: [78][1930/14090]	Time 0.778 (0.751)	Data 0.001 (0.003)	Loss 1.8834 (1.8007)	Prec@1 52.344 (52.765)	Prec@5 79.688 (81.986)
Epoch: [78][1940/14090]	Time 0.745 (0.751)	Data 0.001 (0.003)	Loss 1.8346 (1.8008)	Prec@1 53.906 (52.761)	Prec@5 84.375 (81.981)
Epoch: [78][1950/14090]	Time 0.762 (0.751)	Data 0.001 (0.003)	Loss 1.8137 (1.8010)	Prec@1 55.469 (52.757)	Prec@5 81.250 (81.974)
Epoch: [78][1960/14090]	Time 0.729 (0.751)	Data 0.001 (0.003)	Loss 1.9836 (1.8009)	Prec@1 49.219 (52.754)	Prec@5 77.344 (81.975)
Epoch: [78][1970/14090]	Time 0.741 (0.751)	Data 0.001 (0.003)	Loss 1.6566 (1.8003)	Prec@1 54.688 (52.765)	Prec@5 85.156 (81.982)
Epoch: [78][1980/14090]	Time 0.775 (0.751)	Data 0.001 (0.003)	Loss 1.7570 (1.8005)	Prec@1 56.250 (52.759)	Prec@5 82.812 (81.985)
Epoch: [78][1990/14090]	Time 0.766 (0.751)	Data 0.003 (0.003)	Loss 1.7553 (1.8007)	Prec@1 49.219 (52.757)	Prec@5 85.156 (81.978)
Epoch: [78][2000/14090]	Time 0.755 (0.751)	Data 0.001 (0.003)	Loss 1.9865 (1.8010)	Prec@1 46.875 (52.746)	Prec@5 79.688 (81.978)
Epoch: [78][2010/14090]	Time 0.727 (0.751)	Data 0.001 (0.003)	Loss 1.7996 (1.8008)	Prec@1 57.812 (52.754)	Prec@5 85.156 (81.980)
Epoch: [78][2020/14090]	Time 0.746 (0.751)	Data 0.001 (0.003)	Loss 2.0939 (1.8009)	Prec@1 45.312 (52.757)	Prec@5 76.562 (81.976)
Epoch: [78][2030/14090]	Time 0.731 (0.751)	Data 0.001 (0.003)	Loss 1.9303 (1.8008)	Prec@1 45.312 (52.760)	Prec@5 80.469 (81.974)
Epoch: [78][2040/14090]	Time 0.762 (0.751)	Data 0.001 (0.003)	Loss 1.6159 (1.8006)	Prec@1 54.688 (52.763)	Prec@5 83.594 (81.972)
Epoch: [78][2050/14090]	Time 0.767 (0.751)	Data 0.001 (0.003)	Loss 1.7368 (1.8002)	Prec@1 50.781 (52.778)	Prec@5 82.031 (81.981)
Epoch: [78][2060/14090]	Time 0.791 (0.751)	Data 0.002 (0.003)	Loss 1.7910 (1.8003)	Prec@1 52.344 (52.774)	Prec@5 82.812 (81.983)
Epoch: [78][2070/14090]	Time 0.738 (0.751)	Data 0.001 (0.003)	Loss 1.6546 (1.8004)	Prec@1 57.031 (52.778)	Prec@5 81.250 (81.980)
Epoch: [78][2080/14090]	Time 0.760 (0.751)	Data 0.001 (0.003)	Loss 1.7780 (1.8004)	Prec@1 56.250 (52.771)	Prec@5 82.812 (81.982)
Epoch: [78][2090/14090]	Time 0.735 (0.751)	Data 0.001 (0.003)	Loss 1.6936 (1.8005)	Prec@1 55.469 (52.766)	Prec@5 86.719 (81.986)
Epoch: [78][2100/14090]	Time 0.753 (0.751)	Data 0.001 (0.003)	Loss 1.4913 (1.8004)	Prec@1 56.250 (52.763)	Prec@5 89.062 (81.987)
Epoch: [78][2110/14090]	Time 0.763 (0.751)	Data 0.001 (0.003)	Loss 1.8941 (1.8002)	Prec@1 49.219 (52.765)	Prec@5 78.906 (81.990)
Epoch: [78][2120/14090]	Time 0.726 (0.751)	Data 0.001 (0.003)	Loss 1.8110 (1.8005)	Prec@1 53.906 (52.760)	Prec@5 82.031 (81.991)
Epoch: [78][2130/14090]	Time 0.744 (0.751)	Data 0.002 (0.003)	Loss 1.8080 (1.8005)	Prec@1 57.812 (52.770)	Prec@5 82.812 (81.991)
Epoch: [78][2140/14090]	Time 0.737 (0.751)	Data 0.001 (0.003)	Loss 1.9261 (1.8007)	Prec@1 43.750 (52.766)	Prec@5 82.031 (81.986)
Epoch: [78][2150/14090]	Time 0.735 (0.751)	Data 0.001 (0.003)	Loss 1.8126 (1.8011)	Prec@1 50.781 (52.759)	Prec@5 78.906 (81.979)
Epoch: [78][2160/14090]	Time 0.757 (0.751)	Data 0.001 (0.003)	Loss 1.5799 (1.8008)	Prec@1 55.469 (52.759)	Prec@5 84.375 (81.987)
Epoch: [78][2170/14090]	Time 0.751 (0.751)	Data 0.001 (0.003)	Loss 1.7465 (1.8008)	Prec@1 54.688 (52.761)	Prec@5 82.812 (81.986)
Epoch: [78][2180/14090]	Time 0.747 (0.751)	Data 0.001 (0.003)	Loss 1.7161 (1.8011)	Prec@1 55.469 (52.743)	Prec@5 84.375 (81.985)
Epoch: [78][2190/14090]	Time 0.730 (0.751)	Data 0.001 (0.003)	Loss 2.2496 (1.8013)	Prec@1 46.094 (52.740)	Prec@5 75.781 (81.983)
Epoch: [78][2200/14090]	Time 0.739 (0.751)	Data 0.002 (0.003)	Loss 1.6182 (1.8013)	Prec@1 57.031 (52.736)	Prec@5 89.844 (81.981)
Epoch: [78][2210/14090]	Time 0.729 (0.751)	Data 0.001 (0.003)	Loss 1.7207 (1.8016)	Prec@1 50.781 (52.726)	Prec@5 82.812 (81.975)
Epoch: [78][2220/14090]	Time 0.745 (0.751)	Data 0.001 (0.003)	Loss 1.8519 (1.8015)	Prec@1 51.562 (52.723)	Prec@5 81.250 (81.979)
Epoch: [78][2230/14090]	Time 0.728 (0.751)	Data 0.001 (0.003)	Loss 1.6314 (1.8010)	Prec@1 56.250 (52.726)	Prec@5 84.375 (81.990)
Epoch: [78][2240/14090]	Time 0.746 (0.751)	Data 0.001 (0.003)	Loss 1.8353 (1.8015)	Prec@1 53.906 (52.719)	Prec@5 82.031 (81.986)
Epoch: [78][2250/14090]	Time 0.759 (0.751)	Data 0.001 (0.003)	Loss 1.7435 (1.8015)	Prec@1 53.906 (52.720)	Prec@5 83.594 (81.981)
Epoch: [78][2260/14090]	Time 0.737 (0.751)	Data 0.001 (0.003)	Loss 1.3655 (1.8018)	Prec@1 62.500 (52.710)	Prec@5 88.281 (81.978)
Epoch: [78][2270/14090]	Time 0.751 (0.751)	Data 0.002 (0.003)	Loss 1.8535 (1.8019)	Prec@1 55.469 (52.704)	Prec@5 76.562 (81.975)
Epoch: [78][2280/14090]	Time 0.727 (0.751)	Data 0.001 (0.003)	Loss 1.6129 (1.8017)	Prec@1 57.812 (52.710)	Prec@5 81.250 (81.976)
Epoch: [78][2290/14090]	Time 0.772 (0.751)	Data 0.001 (0.003)	Loss 1.8138 (1.8017)	Prec@1 46.875 (52.707)	Prec@5 83.594 (81.979)
Epoch: [78][2300/14090]	Time 0.745 (0.751)	Data 0.001 (0.003)	Loss 1.8404 (1.8021)	Prec@1 51.562 (52.689)	Prec@5 82.031 (81.973)
Epoch: [78][2310/14090]	Time 0.765 (0.751)	Data 0.001 (0.003)	Loss 1.8720 (1.8021)	Prec@1 53.125 (52.684)	Prec@5 80.469 (81.974)
Epoch: [78][2320/14090]	Time 0.748 (0.751)	Data 0.001 (0.003)	Loss 1.6756 (1.8021)	Prec@1 55.469 (52.684)	Prec@5 85.156 (81.976)
Epoch: [78][2330/14090]	Time 0.761 (0.751)	Data 0.001 (0.003)	Loss 1.6555 (1.8021)	Prec@1 55.469 (52.684)	Prec@5 83.594 (81.978)
Epoch: [78][2340/14090]	Time 0.738 (0.751)	Data 0.002 (0.003)	Loss 1.5469 (1.8021)	Prec@1 57.812 (52.684)	Prec@5 88.281 (81.976)
Epoch: [78][2350/14090]	Time 0.733 (0.751)	Data 0.001 (0.003)	Loss 2.0508 (1.8024)	Prec@1 46.094 (52.678)	Prec@5 76.562 (81.974)
Epoch: [78][2360/14090]	Time 0.740 (0.751)	Data 0.001 (0.003)	Loss 1.7097 (1.8020)	Prec@1 53.125 (52.686)	Prec@5 81.250 (81.983)
Epoch: [78][2370/14090]	Time 0.735 (0.751)	Data 0.001 (0.003)	Loss 1.7350 (1.8020)	Prec@1 53.906 (52.689)	Prec@5 87.500 (81.981)
Epoch: [78][2380/14090]	Time 0.755 (0.751)	Data 0.001 (0.003)	Loss 1.7522 (1.8018)	Prec@1 51.562 (52.692)	Prec@5 84.375 (81.985)
Epoch: [78][2390/14090]	Time 0.736 (0.751)	Data 0.001 (0.003)	Loss 1.7537 (1.8020)	Prec@1 52.344 (52.687)	Prec@5 82.031 (81.982)
Epoch: [78][2400/14090]	Time 0.760 (0.751)	Data 0.001 (0.003)	Loss 1.6519 (1.8018)	Prec@1 53.125 (52.688)	Prec@5 84.375 (81.986)
Epoch: [78][2410/14090]	Time 0.750 (0.751)	Data 0.002 (0.003)	Loss 1.6284 (1.8018)	Prec@1 58.594 (52.689)	Prec@5 79.688 (81.984)
Epoch: [78][2420/14090]	Time 0.740 (0.751)	Data 0.001 (0.003)	Loss 1.9172 (1.8019)	Prec@1 50.000 (52.688)	Prec@5 79.688 (81.983)
Epoch: [78][2430/14090]	Time 0.751 (0.751)	Data 0.001 (0.003)	Loss 2.0541 (1.8021)	Prec@1 44.531 (52.683)	Prec@5 81.250 (81.979)
Epoch: [78][2440/14090]	Time 0.752 (0.751)	Data 0.001 (0.003)	Loss 1.9028 (1.8021)	Prec@1 50.000 (52.680)	Prec@5 78.906 (81.974)
Epoch: [78][2450/14090]	Time 0.734 (0.751)	Data 0.001 (0.003)	Loss 1.9114 (1.8022)	Prec@1 50.781 (52.682)	Prec@5 82.031 (81.975)
Epoch: [78][2460/14090]	Time 0.771 (0.751)	Data 0.001 (0.003)	Loss 1.8333 (1.8021)	Prec@1 48.438 (52.685)	Prec@5 81.250 (81.975)
Epoch: [78][2470/14090]	Time 0.792 (0.751)	Data 0.001 (0.003)	Loss 1.7202 (1.8020)	Prec@1 55.469 (52.688)	Prec@5 78.906 (81.973)
Epoch: [78][2480/14090]	Time 0.782 (0.751)	Data 0.002 (0.003)	Loss 1.7276 (1.8023)	Prec@1 50.781 (52.683)	Prec@5 80.469 (81.963)
Epoch: [78][2490/14090]	Time 0.740 (0.751)	Data 0.001 (0.003)	Loss 1.8243 (1.8023)	Prec@1 49.219 (52.685)	Prec@5 83.594 (81.968)
Epoch: [78][2500/14090]	Time 0.765 (0.751)	Data 0.001 (0.003)	Loss 1.8576 (1.8021)	Prec@1 53.125 (52.692)	Prec@5 78.125 (81.972)
Epoch: [78][2510/14090]	Time 0.745 (0.751)	Data 0.001 (0.003)	Loss 1.6927 (1.8021)	Prec@1 57.812 (52.692)	Prec@5 82.031 (81.967)
Epoch: [78][2520/14090]	Time 0.739 (0.751)	Data 0.001 (0.003)	Loss 1.9213 (1.8024)	Prec@1 46.875 (52.681)	Prec@5 78.125 (81.966)
Epoch: [78][2530/14090]	Time 0.748 (0.751)	Data 0.001 (0.003)	Loss 2.0486 (1.8026)	Prec@1 50.000 (52.674)	Prec@5 74.219 (81.963)
Epoch: [78][2540/14090]	Time 0.763 (0.751)	Data 0.001 (0.003)	Loss 1.9176 (1.8024)	Prec@1 50.781 (52.675)	Prec@5 82.031 (81.964)
Epoch: [78][2550/14090]	Time 0.736 (0.751)	Data 0.002 (0.003)	Loss 2.0110 (1.8022)	Prec@1 48.438 (52.680)	Prec@5 78.906 (81.972)
Epoch: [78][2560/14090]	Time 0.726 (0.751)	Data 0.001 (0.003)	Loss 1.6075 (1.8021)	Prec@1 56.250 (52.681)	Prec@5 83.594 (81.971)
Epoch: [78][2570/14090]	Time 0.739 (0.751)	Data 0.001 (0.003)	Loss 1.7112 (1.8020)	Prec@1 52.344 (52.682)	Prec@5 82.031 (81.972)
Epoch: [78][2580/14090]	Time 0.741 (0.751)	Data 0.001 (0.003)	Loss 1.6667 (1.8021)	Prec@1 57.031 (52.684)	Prec@5 84.375 (81.975)
Epoch: [78][2590/14090]	Time 0.769 (0.751)	Data 0.001 (0.003)	Loss 2.0080 (1.8024)	Prec@1 50.781 (52.680)	Prec@5 78.125 (81.975)
Epoch: [78][2600/14090]	Time 0.746 (0.751)	Data 0.001 (0.003)	Loss 1.9218 (1.8024)	Prec@1 51.562 (52.680)	Prec@5 82.031 (81.974)
Epoch: [78][2610/14090]	Time 0.741 (0.751)	Data 0.001 (0.003)	Loss 1.7307 (1.8023)	Prec@1 60.938 (52.690)	Prec@5 85.156 (81.976)
Epoch: [78][2620/14090]	Time 0.775 (0.751)	Data 0.002 (0.003)	Loss 1.9823 (1.8024)	Prec@1 51.562 (52.690)	Prec@5 74.219 (81.972)
Epoch: [78][2630/14090]	Time 0.754 (0.751)	Data 0.001 (0.003)	Loss 1.5387 (1.8025)	Prec@1 59.375 (52.692)	Prec@5 87.500 (81.972)
Epoch: [78][2640/14090]	Time 0.757 (0.751)	Data 0.001 (0.003)	Loss 1.5007 (1.8023)	Prec@1 60.156 (52.695)	Prec@5 88.281 (81.974)
Epoch: [78][2650/14090]	Time 0.752 (0.751)	Data 0.001 (0.003)	Loss 2.1335 (1.8022)	Prec@1 41.406 (52.696)	Prec@5 74.219 (81.980)
Epoch: [78][2660/14090]	Time 0.735 (0.751)	Data 0.001 (0.003)	Loss 1.9234 (1.8023)	Prec@1 51.562 (52.690)	Prec@5 79.688 (81.979)
Epoch: [78][2670/14090]	Time 0.733 (0.751)	Data 0.001 (0.003)	Loss 1.7745 (1.8022)	Prec@1 53.125 (52.694)	Prec@5 85.938 (81.979)
Epoch: [78][2680/14090]	Time 0.731 (0.751)	Data 0.001 (0.003)	Loss 2.0154 (1.8024)	Prec@1 47.656 (52.696)	Prec@5 79.688 (81.976)
Epoch: [78][2690/14090]	Time 0.730 (0.751)	Data 0.002 (0.003)	Loss 1.5802 (1.8020)	Prec@1 60.938 (52.703)	Prec@5 89.062 (81.983)
Epoch: [78][2700/14090]	Time 0.750 (0.751)	Data 0.001 (0.003)	Loss 1.8159 (1.8019)	Prec@1 50.000 (52.708)	Prec@5 82.812 (81.987)
Epoch: [78][2710/14090]	Time 0.747 (0.751)	Data 0.001 (0.003)	Loss 2.3561 (1.8021)	Prec@1 39.062 (52.705)	Prec@5 75.781 (81.985)
Epoch: [78][2720/14090]	Time 0.759 (0.751)	Data 0.001 (0.003)	Loss 1.8821 (1.8022)	Prec@1 48.438 (52.704)	Prec@5 75.781 (81.986)
Epoch: [78][2730/14090]	Time 0.743 (0.751)	Data 0.001 (0.003)	Loss 2.1708 (1.8025)	Prec@1 43.750 (52.698)	Prec@5 77.344 (81.984)
Epoch: [78][2740/14090]	Time 0.743 (0.751)	Data 0.001 (0.003)	Loss 1.8319 (1.8028)	Prec@1 43.750 (52.694)	Prec@5 80.469 (81.980)
Epoch: [78][2750/14090]	Time 0.743 (0.751)	Data 0.001 (0.003)	Loss 1.7705 (1.8030)	Prec@1 53.906 (52.686)	Prec@5 78.125 (81.974)
Epoch: [78][2760/14090]	Time 0.738 (0.751)	Data 0.002 (0.003)	Loss 1.5947 (1.8028)	Prec@1 58.594 (52.686)	Prec@5 85.156 (81.978)
Epoch: [78][2770/14090]	Time 0.750 (0.751)	Data 0.001 (0.003)	Loss 1.8131 (1.8027)	Prec@1 53.906 (52.685)	Prec@5 79.688 (81.981)
Epoch: [78][2780/14090]	Time 0.730 (0.751)	Data 0.001 (0.003)	Loss 1.4816 (1.8025)	Prec@1 63.281 (52.690)	Prec@5 85.938 (81.983)
Epoch: [78][2790/14090]	Time 0.736 (0.751)	Data 0.001 (0.003)	Loss 1.8953 (1.8026)	Prec@1 52.344 (52.691)	Prec@5 80.469 (81.981)
Epoch: [78][2800/14090]	Time 0.736 (0.751)	Data 0.001 (0.003)	Loss 1.7827 (1.8025)	Prec@1 54.688 (52.694)	Prec@5 82.031 (81.984)
Epoch: [78][2810/14090]	Time 0.734 (0.751)	Data 0.001 (0.003)	Loss 1.7543 (1.8025)	Prec@1 58.594 (52.703)	Prec@5 81.250 (81.981)
Epoch: [78][2820/14090]	Time 0.762 (0.751)	Data 0.001 (0.003)	Loss 1.8886 (1.8025)	Prec@1 47.656 (52.700)	Prec@5 79.688 (81.979)
Epoch: [78][2830/14090]	Time 0.760 (0.751)	Data 0.002 (0.003)	Loss 1.7549 (1.8026)	Prec@1 52.344 (52.695)	Prec@5 84.375 (81.973)
Epoch: [78][2840/14090]	Time 0.753 (0.751)	Data 0.001 (0.003)	Loss 1.9360 (1.8029)	Prec@1 51.562 (52.691)	Prec@5 80.469 (81.970)
Epoch: [78][2850/14090]	Time 0.735 (0.751)	Data 0.001 (0.003)	Loss 1.6236 (1.8029)	Prec@1 54.688 (52.695)	Prec@5 86.719 (81.970)
Epoch: [78][2860/14090]	Time 0.723 (0.751)	Data 0.001 (0.003)	Loss 1.8529 (1.8031)	Prec@1 50.781 (52.688)	Prec@5 80.469 (81.971)
Epoch: [78][2870/14090]	Time 0.782 (0.751)	Data 0.001 (0.003)	Loss 1.8894 (1.8030)	Prec@1 47.656 (52.690)	Prec@5 80.469 (81.975)
Epoch: [78][2880/14090]	Time 0.758 (0.751)	Data 0.001 (0.003)	Loss 1.8126 (1.8030)	Prec@1 52.344 (52.692)	Prec@5 82.812 (81.978)
Epoch: [78][2890/14090]	Time 0.733 (0.751)	Data 0.001 (0.003)	Loss 1.6619 (1.8030)	Prec@1 59.375 (52.693)	Prec@5 83.594 (81.980)
Epoch: [78][2900/14090]	Time 0.750 (0.751)	Data 0.002 (0.003)	Loss 1.6518 (1.8026)	Prec@1 57.031 (52.699)	Prec@5 85.156 (81.983)
Epoch: [78][2910/14090]	Time 0.733 (0.751)	Data 0.001 (0.003)	Loss 1.7397 (1.8025)	Prec@1 57.031 (52.706)	Prec@5 81.250 (81.983)
Epoch: [78][2920/14090]	Time 0.727 (0.751)	Data 0.001 (0.003)	Loss 1.8325 (1.8024)	Prec@1 51.562 (52.707)	Prec@5 81.250 (81.985)
Epoch: [78][2930/14090]	Time 0.764 (0.751)	Data 0.001 (0.003)	Loss 1.6152 (1.8025)	Prec@1 58.594 (52.704)	Prec@5 85.938 (81.984)
Epoch: [78][2940/14090]	Time 0.800 (0.751)	Data 0.001 (0.003)	Loss 1.9504 (1.8025)	Prec@1 53.125 (52.704)	Prec@5 81.250 (81.985)
Epoch: [78][2950/14090]	Time 0.744 (0.751)	Data 0.001 (0.003)	Loss 1.6880 (1.8025)	Prec@1 54.688 (52.706)	Prec@5 88.281 (81.987)
Epoch: [78][2960/14090]	Time 0.747 (0.751)	Data 0.001 (0.003)	Loss 2.1969 (1.8027)	Prec@1 43.750 (52.696)	Prec@5 74.219 (81.982)
Epoch: [78][2970/14090]	Time 0.748 (0.751)	Data 0.002 (0.003)	Loss 1.7981 (1.8025)	Prec@1 52.344 (52.699)	Prec@5 85.156 (81.987)
Epoch: [78][2980/14090]	Time 0.748 (0.751)	Data 0.001 (0.002)	Loss 2.0223 (1.8024)	Prec@1 45.312 (52.695)	Prec@5 78.906 (81.995)
Epoch: [78][2990/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 2.0657 (1.8025)	Prec@1 46.094 (52.692)	Prec@5 78.125 (81.993)
Epoch: [78][3000/14090]	Time 0.785 (0.751)	Data 0.001 (0.002)	Loss 1.7839 (1.8025)	Prec@1 57.812 (52.696)	Prec@5 78.906 (81.994)
Epoch: [78][3010/14090]	Time 0.733 (0.751)	Data 0.001 (0.002)	Loss 1.6899 (1.8022)	Prec@1 54.688 (52.703)	Prec@5 82.812 (81.999)
Epoch: [78][3020/14090]	Time 0.781 (0.751)	Data 0.001 (0.002)	Loss 1.8430 (1.8022)	Prec@1 48.438 (52.706)	Prec@5 78.125 (81.995)
Epoch: [78][3030/14090]	Time 0.737 (0.751)	Data 0.001 (0.002)	Loss 1.8716 (1.8023)	Prec@1 54.688 (52.705)	Prec@5 81.250 (81.995)
Epoch: [78][3040/14090]	Time 0.724 (0.751)	Data 0.002 (0.002)	Loss 1.8407 (1.8024)	Prec@1 56.250 (52.707)	Prec@5 82.812 (81.995)
Epoch: [78][3050/14090]	Time 0.743 (0.751)	Data 0.001 (0.002)	Loss 1.8317 (1.8023)	Prec@1 53.906 (52.713)	Prec@5 79.688 (81.994)
Epoch: [78][3060/14090]	Time 0.758 (0.751)	Data 0.001 (0.002)	Loss 1.6679 (1.8022)	Prec@1 55.469 (52.717)	Prec@5 84.375 (81.999)
Epoch: [78][3070/14090]	Time 0.764 (0.751)	Data 0.001 (0.002)	Loss 1.7569 (1.8022)	Prec@1 56.250 (52.718)	Prec@5 85.156 (81.999)
Epoch: [78][3080/14090]	Time 0.749 (0.751)	Data 0.001 (0.002)	Loss 1.9496 (1.8022)	Prec@1 46.094 (52.718)	Prec@5 77.344 (81.999)
Epoch: [78][3090/14090]	Time 0.748 (0.751)	Data 0.001 (0.002)	Loss 1.8252 (1.8023)	Prec@1 53.125 (52.715)	Prec@5 84.375 (82.000)
Epoch: [78][3100/14090]	Time 0.741 (0.750)	Data 0.001 (0.002)	Loss 1.9510 (1.8023)	Prec@1 50.000 (52.715)	Prec@5 80.469 (82.002)
Epoch: [78][3110/14090]	Time 0.770 (0.751)	Data 0.002 (0.002)	Loss 1.8053 (1.8025)	Prec@1 59.375 (52.713)	Prec@5 78.906 (81.999)
Epoch: [78][3120/14090]	Time 0.729 (0.750)	Data 0.001 (0.002)	Loss 1.8671 (1.8027)	Prec@1 49.219 (52.713)	Prec@5 82.812 (81.992)
Epoch: [78][3130/14090]	Time 0.744 (0.750)	Data 0.001 (0.002)	Loss 1.5576 (1.8027)	Prec@1 57.812 (52.720)	Prec@5 85.938 (81.990)
Epoch: [78][3140/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 1.8185 (1.8026)	Prec@1 60.156 (52.727)	Prec@5 80.469 (81.990)
Epoch: [78][3150/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 1.9692 (1.8028)	Prec@1 48.438 (52.724)	Prec@5 74.219 (81.984)
Epoch: [78][3160/14090]	Time 0.731 (0.750)	Data 0.001 (0.002)	Loss 2.0249 (1.8028)	Prec@1 52.344 (52.725)	Prec@5 71.875 (81.977)
Epoch: [78][3170/14090]	Time 0.746 (0.750)	Data 0.001 (0.002)	Loss 1.8495 (1.8030)	Prec@1 53.125 (52.722)	Prec@5 84.375 (81.977)
Epoch: [78][3180/14090]	Time 0.761 (0.750)	Data 0.002 (0.002)	Loss 2.1038 (1.8028)	Prec@1 44.531 (52.722)	Prec@5 78.125 (81.976)
Epoch: [78][3190/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 1.8442 (1.8030)	Prec@1 51.562 (52.716)	Prec@5 82.812 (81.974)
Epoch: [78][3200/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 1.5621 (1.8030)	Prec@1 51.562 (52.714)	Prec@5 83.594 (81.973)
Epoch: [78][3210/14090]	Time 0.734 (0.750)	Data 0.001 (0.002)	Loss 1.9337 (1.8029)	Prec@1 50.781 (52.721)	Prec@5 81.250 (81.977)
Epoch: [78][3220/14090]	Time 0.726 (0.750)	Data 0.001 (0.002)	Loss 2.0608 (1.8028)	Prec@1 45.312 (52.720)	Prec@5 78.125 (81.980)
Epoch: [78][3230/14090]	Time 0.762 (0.750)	Data 0.001 (0.002)	Loss 1.8141 (1.8026)	Prec@1 50.781 (52.725)	Prec@5 82.031 (81.983)
Epoch: [78][3240/14090]	Time 0.736 (0.750)	Data 0.001 (0.002)	Loss 1.8903 (1.8027)	Prec@1 50.781 (52.721)	Prec@5 82.812 (81.979)
Epoch: [78][3250/14090]	Time 0.734 (0.750)	Data 0.002 (0.002)	Loss 1.8097 (1.8027)	Prec@1 52.344 (52.722)	Prec@5 80.469 (81.979)
Epoch: [78][3260/14090]	Time 0.736 (0.750)	Data 0.001 (0.002)	Loss 2.0031 (1.8027)	Prec@1 50.781 (52.727)	Prec@5 75.781 (81.977)
Epoch: [78][3270/14090]	Time 0.736 (0.750)	Data 0.001 (0.002)	Loss 1.7047 (1.8026)	Prec@1 54.688 (52.729)	Prec@5 83.594 (81.975)
Epoch: [78][3280/14090]	Time 0.757 (0.750)	Data 0.001 (0.002)	Loss 1.7699 (1.8026)	Prec@1 51.562 (52.729)	Prec@5 82.031 (81.975)
Epoch: [78][3290/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 2.0622 (1.8028)	Prec@1 46.875 (52.722)	Prec@5 75.000 (81.974)
Epoch: [78][3300/14090]	Time 0.761 (0.750)	Data 0.001 (0.002)	Loss 1.7170 (1.8029)	Prec@1 53.125 (52.727)	Prec@5 81.250 (81.970)
Epoch: [78][3310/14090]	Time 0.734 (0.750)	Data 0.001 (0.002)	Loss 1.7250 (1.8029)	Prec@1 53.906 (52.730)	Prec@5 80.469 (81.969)
Epoch: [78][3320/14090]	Time 0.772 (0.750)	Data 0.002 (0.002)	Loss 1.9502 (1.8031)	Prec@1 51.562 (52.724)	Prec@5 80.469 (81.970)
Epoch: [78][3330/14090]	Time 0.737 (0.750)	Data 0.001 (0.002)	Loss 1.9416 (1.8032)	Prec@1 53.125 (52.725)	Prec@5 80.469 (81.967)
Epoch: [78][3340/14090]	Time 0.754 (0.750)	Data 0.001 (0.002)	Loss 1.7657 (1.8033)	Prec@1 53.906 (52.725)	Prec@5 79.688 (81.961)
Epoch: [78][3350/14090]	Time 0.779 (0.750)	Data 0.001 (0.002)	Loss 1.7966 (1.8035)	Prec@1 53.906 (52.723)	Prec@5 84.375 (81.955)
Epoch: [78][3360/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 1.9034 (1.8035)	Prec@1 49.219 (52.721)	Prec@5 85.156 (81.954)
Epoch: [78][3370/14090]	Time 0.734 (0.750)	Data 0.001 (0.002)	Loss 1.7899 (1.8036)	Prec@1 51.562 (52.718)	Prec@5 78.906 (81.954)
Epoch: [78][3380/14090]	Time 0.797 (0.750)	Data 0.001 (0.002)	Loss 2.0308 (1.8036)	Prec@1 48.438 (52.721)	Prec@5 76.562 (81.954)
Epoch: [78][3390/14090]	Time 0.751 (0.750)	Data 0.002 (0.002)	Loss 1.6894 (1.8036)	Prec@1 57.031 (52.715)	Prec@5 81.250 (81.952)
Epoch: [78][3400/14090]	Time 0.771 (0.750)	Data 0.001 (0.002)	Loss 1.7294 (1.8038)	Prec@1 54.688 (52.713)	Prec@5 85.156 (81.946)
Epoch: [78][3410/14090]	Time 0.731 (0.750)	Data 0.001 (0.002)	Loss 1.6779 (1.8040)	Prec@1 58.594 (52.704)	Prec@5 84.375 (81.943)
Epoch: [78][3420/14090]	Time 0.756 (0.750)	Data 0.001 (0.002)	Loss 1.7756 (1.8041)	Prec@1 52.344 (52.700)	Prec@5 79.688 (81.940)
Epoch: [78][3430/14090]	Time 0.722 (0.750)	Data 0.001 (0.002)	Loss 2.0001 (1.8040)	Prec@1 53.125 (52.704)	Prec@5 78.125 (81.942)
Epoch: [78][3440/14090]	Time 0.762 (0.750)	Data 0.001 (0.002)	Loss 2.0203 (1.8042)	Prec@1 46.875 (52.702)	Prec@5 76.562 (81.937)
Epoch: [78][3450/14090]	Time 0.738 (0.750)	Data 0.001 (0.002)	Loss 1.5875 (1.8042)	Prec@1 57.812 (52.701)	Prec@5 85.938 (81.937)
Epoch: [78][3460/14090]	Time 0.731 (0.750)	Data 0.002 (0.002)	Loss 1.7726 (1.8044)	Prec@1 53.906 (52.699)	Prec@5 82.031 (81.933)
Epoch: [78][3470/14090]	Time 0.756 (0.750)	Data 0.001 (0.002)	Loss 1.6224 (1.8044)	Prec@1 59.375 (52.701)	Prec@5 82.031 (81.935)
Epoch: [78][3480/14090]	Time 0.735 (0.750)	Data 0.001 (0.002)	Loss 1.7202 (1.8044)	Prec@1 50.781 (52.701)	Prec@5 84.375 (81.936)
Epoch: [78][3490/14090]	Time 0.746 (0.750)	Data 0.001 (0.002)	Loss 1.9307 (1.8043)	Prec@1 45.312 (52.703)	Prec@5 82.031 (81.937)
Epoch: [78][3500/14090]	Time 0.778 (0.750)	Data 0.001 (0.002)	Loss 2.0496 (1.8044)	Prec@1 49.219 (52.700)	Prec@5 77.344 (81.935)
Epoch: [78][3510/14090]	Time 0.746 (0.750)	Data 0.001 (0.002)	Loss 1.7158 (1.8043)	Prec@1 56.250 (52.706)	Prec@5 78.125 (81.934)
Epoch: [78][3520/14090]	Time 0.751 (0.750)	Data 0.001 (0.002)	Loss 1.6338 (1.8043)	Prec@1 58.594 (52.703)	Prec@5 82.031 (81.932)
Epoch: [78][3530/14090]	Time 0.746 (0.750)	Data 0.002 (0.002)	Loss 2.0118 (1.8044)	Prec@1 47.656 (52.698)	Prec@5 78.906 (81.932)
Epoch: [78][3540/14090]	Time 0.736 (0.750)	Data 0.001 (0.002)	Loss 1.6335 (1.8044)	Prec@1 52.344 (52.697)	Prec@5 84.375 (81.930)
Epoch: [78][3550/14090]	Time 0.737 (0.750)	Data 0.001 (0.002)	Loss 1.8397 (1.8043)	Prec@1 50.000 (52.697)	Prec@5 82.031 (81.930)
Epoch: [78][3560/14090]	Time 0.758 (0.750)	Data 0.001 (0.002)	Loss 1.7775 (1.8042)	Prec@1 53.906 (52.703)	Prec@5 80.469 (81.928)
Epoch: [78][3570/14090]	Time 0.762 (0.750)	Data 0.001 (0.002)	Loss 1.6687 (1.8042)	Prec@1 50.000 (52.703)	Prec@5 84.375 (81.928)
Epoch: [78][3580/14090]	Time 0.739 (0.750)	Data 0.001 (0.002)	Loss 1.7142 (1.8042)	Prec@1 50.781 (52.701)	Prec@5 82.031 (81.926)
Epoch: [78][3590/14090]	Time 0.735 (0.750)	Data 0.001 (0.002)	Loss 1.9122 (1.8041)	Prec@1 55.469 (52.699)	Prec@5 82.031 (81.932)
Epoch: [78][3600/14090]	Time 0.733 (0.750)	Data 0.002 (0.002)	Loss 2.0163 (1.8042)	Prec@1 50.000 (52.702)	Prec@5 78.125 (81.932)
Epoch: [78][3610/14090]	Time 0.729 (0.750)	Data 0.001 (0.002)	Loss 1.9159 (1.8040)	Prec@1 59.375 (52.708)	Prec@5 79.688 (81.936)
Epoch: [78][3620/14090]	Time 0.726 (0.750)	Data 0.001 (0.002)	Loss 1.8865 (1.8039)	Prec@1 57.031 (52.707)	Prec@5 81.250 (81.940)
Epoch: [78][3630/14090]	Time 0.756 (0.750)	Data 0.001 (0.002)	Loss 1.7367 (1.8039)	Prec@1 56.250 (52.707)	Prec@5 87.500 (81.943)
Epoch: [78][3640/14090]	Time 0.762 (0.750)	Data 0.001 (0.002)	Loss 1.7954 (1.8039)	Prec@1 57.812 (52.708)	Prec@5 80.469 (81.945)
Epoch: [78][3650/14090]	Time 0.728 (0.750)	Data 0.001 (0.002)	Loss 1.8464 (1.8038)	Prec@1 54.688 (52.714)	Prec@5 80.469 (81.948)
Epoch: [78][3660/14090]	Time 0.729 (0.750)	Data 0.001 (0.002)	Loss 1.8306 (1.8038)	Prec@1 48.438 (52.711)	Prec@5 81.250 (81.947)
Epoch: [78][3670/14090]	Time 0.751 (0.750)	Data 0.002 (0.002)	Loss 1.6860 (1.8036)	Prec@1 57.812 (52.717)	Prec@5 82.031 (81.949)
Epoch: [78][3680/14090]	Time 0.755 (0.750)	Data 0.001 (0.002)	Loss 1.8131 (1.8038)	Prec@1 51.562 (52.715)	Prec@5 82.812 (81.948)
Epoch: [78][3690/14090]	Time 0.729 (0.750)	Data 0.001 (0.002)	Loss 1.8012 (1.8035)	Prec@1 50.000 (52.717)	Prec@5 88.281 (81.954)
Epoch: [78][3700/14090]	Time 0.734 (0.750)	Data 0.001 (0.002)	Loss 1.4756 (1.8032)	Prec@1 60.938 (52.724)	Prec@5 90.625 (81.959)
Epoch: [78][3710/14090]	Time 0.730 (0.750)	Data 0.001 (0.002)	Loss 1.7788 (1.8032)	Prec@1 57.031 (52.725)	Prec@5 85.156 (81.961)
Epoch: [78][3720/14090]	Time 0.754 (0.750)	Data 0.001 (0.002)	Loss 1.9465 (1.8031)	Prec@1 46.875 (52.727)	Prec@5 75.781 (81.962)
Epoch: [78][3730/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 1.7904 (1.8032)	Prec@1 54.688 (52.724)	Prec@5 80.469 (81.963)
Epoch: [78][3740/14090]	Time 0.773 (0.750)	Data 0.002 (0.002)	Loss 1.8312 (1.8033)	Prec@1 50.000 (52.717)	Prec@5 82.812 (81.962)
Epoch: [78][3750/14090]	Time 0.757 (0.750)	Data 0.001 (0.002)	Loss 1.7172 (1.8034)	Prec@1 57.031 (52.716)	Prec@5 82.031 (81.963)
Epoch: [78][3760/14090]	Time 0.722 (0.750)	Data 0.001 (0.002)	Loss 1.6422 (1.8034)	Prec@1 58.594 (52.720)	Prec@5 83.594 (81.961)
Epoch: [78][3770/14090]	Time 0.754 (0.750)	Data 0.001 (0.002)	Loss 1.7923 (1.8033)	Prec@1 56.250 (52.723)	Prec@5 84.375 (81.964)
Epoch: [78][3780/14090]	Time 0.754 (0.750)	Data 0.001 (0.002)	Loss 1.5978 (1.8034)	Prec@1 57.031 (52.724)	Prec@5 88.281 (81.962)
Epoch: [78][3790/14090]	Time 0.741 (0.750)	Data 0.001 (0.002)	Loss 1.9606 (1.8035)	Prec@1 47.656 (52.721)	Prec@5 76.562 (81.962)
Epoch: [78][3800/14090]	Time 0.758 (0.750)	Data 0.001 (0.002)	Loss 2.0929 (1.8035)	Prec@1 46.094 (52.721)	Prec@5 77.344 (81.962)
Epoch: [78][3810/14090]	Time 0.747 (0.750)	Data 0.002 (0.002)	Loss 1.7663 (1.8034)	Prec@1 54.688 (52.721)	Prec@5 83.594 (81.965)
Epoch: [78][3820/14090]	Time 0.756 (0.750)	Data 0.001 (0.002)	Loss 1.8189 (1.8038)	Prec@1 54.688 (52.715)	Prec@5 83.594 (81.960)
Epoch: [78][3830/14090]	Time 0.755 (0.750)	Data 0.001 (0.002)	Loss 1.8135 (1.8040)	Prec@1 54.688 (52.711)	Prec@5 85.938 (81.957)
Epoch: [78][3840/14090]	Time 0.731 (0.750)	Data 0.001 (0.002)	Loss 1.9872 (1.8040)	Prec@1 46.875 (52.707)	Prec@5 78.906 (81.957)
Epoch: [78][3850/14090]	Time 0.727 (0.750)	Data 0.001 (0.002)	Loss 1.8093 (1.8040)	Prec@1 55.469 (52.707)	Prec@5 82.031 (81.956)
Epoch: [78][3860/14090]	Time 0.738 (0.750)	Data 0.001 (0.002)	Loss 1.8216 (1.8039)	Prec@1 47.656 (52.710)	Prec@5 81.250 (81.954)
Epoch: [78][3870/14090]	Time 0.739 (0.750)	Data 0.001 (0.002)	Loss 1.6692 (1.8041)	Prec@1 57.031 (52.703)	Prec@5 86.719 (81.950)
Epoch: [78][3880/14090]	Time 0.772 (0.750)	Data 0.002 (0.002)	Loss 1.7104 (1.8040)	Prec@1 54.688 (52.706)	Prec@5 79.688 (81.948)
Epoch: [78][3890/14090]	Time 0.736 (0.750)	Data 0.001 (0.002)	Loss 1.9218 (1.8041)	Prec@1 48.438 (52.703)	Prec@5 78.125 (81.946)
Epoch: [78][3900/14090]	Time 0.756 (0.750)	Data 0.001 (0.002)	Loss 1.9846 (1.8042)	Prec@1 48.438 (52.705)	Prec@5 74.219 (81.941)
Epoch: [78][3910/14090]	Time 0.776 (0.750)	Data 0.001 (0.002)	Loss 1.6437 (1.8042)	Prec@1 53.125 (52.703)	Prec@5 85.938 (81.940)
Epoch: [78][3920/14090]	Time 0.744 (0.750)	Data 0.001 (0.002)	Loss 1.5547 (1.8039)	Prec@1 58.594 (52.705)	Prec@5 88.281 (81.943)
Epoch: [78][3930/14090]	Time 0.764 (0.750)	Data 0.001 (0.002)	Loss 1.8692 (1.8042)	Prec@1 50.781 (52.700)	Prec@5 81.250 (81.939)
Epoch: [78][3940/14090]	Time 0.732 (0.750)	Data 0.001 (0.002)	Loss 1.6697 (1.8042)	Prec@1 53.906 (52.696)	Prec@5 82.812 (81.940)
Epoch: [78][3950/14090]	Time 0.728 (0.750)	Data 0.002 (0.002)	Loss 1.8474 (1.8041)	Prec@1 50.781 (52.699)	Prec@5 82.031 (81.942)
Epoch: [78][3960/14090]	Time 0.746 (0.750)	Data 0.002 (0.002)	Loss 1.7744 (1.8040)	Prec@1 55.469 (52.701)	Prec@5 82.031 (81.945)
Epoch: [78][3970/14090]	Time 0.772 (0.750)	Data 0.001 (0.002)	Loss 1.7735 (1.8039)	Prec@1 54.688 (52.707)	Prec@5 78.906 (81.942)
Epoch: [78][3980/14090]	Time 0.788 (0.750)	Data 0.001 (0.002)	Loss 1.6681 (1.8038)	Prec@1 54.688 (52.710)	Prec@5 84.375 (81.943)
Epoch: [78][3990/14090]	Time 0.728 (0.750)	Data 0.001 (0.002)	Loss 1.6822 (1.8040)	Prec@1 53.906 (52.706)	Prec@5 82.812 (81.941)
Epoch: [78][4000/14090]	Time 0.746 (0.750)	Data 0.001 (0.002)	Loss 1.5416 (1.8039)	Prec@1 56.250 (52.707)	Prec@5 87.500 (81.941)
Epoch: [78][4010/14090]	Time 0.730 (0.750)	Data 0.001 (0.002)	Loss 1.7500 (1.8039)	Prec@1 54.688 (52.709)	Prec@5 82.031 (81.940)
Epoch: [78][4020/14090]	Time 0.772 (0.750)	Data 0.002 (0.002)	Loss 1.7223 (1.8038)	Prec@1 55.469 (52.711)	Prec@5 82.812 (81.940)
Epoch: [78][4030/14090]	Time 0.760 (0.750)	Data 0.001 (0.002)	Loss 1.8566 (1.8041)	Prec@1 52.344 (52.705)	Prec@5 81.250 (81.936)
Epoch: [78][4040/14090]	Time 0.732 (0.750)	Data 0.001 (0.002)	Loss 2.1789 (1.8042)	Prec@1 44.531 (52.702)	Prec@5 78.906 (81.935)
Epoch: [78][4050/14090]	Time 0.732 (0.750)	Data 0.001 (0.002)	Loss 1.5385 (1.8041)	Prec@1 62.500 (52.707)	Prec@5 89.062 (81.936)
Epoch: [78][4060/14090]	Time 0.766 (0.750)	Data 0.001 (0.002)	Loss 1.8557 (1.8042)	Prec@1 52.344 (52.705)	Prec@5 78.125 (81.934)
Epoch: [78][4070/14090]	Time 0.730 (0.750)	Data 0.001 (0.002)	Loss 1.8480 (1.8042)	Prec@1 52.344 (52.705)	Prec@5 82.812 (81.935)
Epoch: [78][4080/14090]	Time 0.727 (0.750)	Data 0.001 (0.002)	Loss 1.8856 (1.8040)	Prec@1 48.438 (52.705)	Prec@5 82.031 (81.939)
Epoch: [78][4090/14090]	Time 0.776 (0.750)	Data 0.002 (0.002)	Loss 1.8832 (1.8040)	Prec@1 55.469 (52.708)	Prec@5 77.344 (81.939)
Epoch: [78][4100/14090]	Time 0.789 (0.750)	Data 0.001 (0.002)	Loss 1.8699 (1.8040)	Prec@1 51.562 (52.706)	Prec@5 78.125 (81.938)
Epoch: [78][4110/14090]	Time 0.733 (0.750)	Data 0.001 (0.002)	Loss 1.6963 (1.8041)	Prec@1 60.156 (52.707)	Prec@5 83.594 (81.939)
Epoch: [78][4120/14090]	Time 0.753 (0.750)	Data 0.001 (0.002)	Loss 1.6435 (1.8042)	Prec@1 52.344 (52.703)	Prec@5 87.500 (81.937)
Epoch: [78][4130/14090]	Time 0.753 (0.750)	Data 0.001 (0.002)	Loss 1.7973 (1.8040)	Prec@1 52.344 (52.708)	Prec@5 82.031 (81.939)
Epoch: [78][4140/14090]	Time 0.759 (0.750)	Data 0.001 (0.002)	Loss 1.9516 (1.8041)	Prec@1 49.219 (52.706)	Prec@5 80.469 (81.935)
Epoch: [78][4150/14090]	Time 0.754 (0.750)	Data 0.001 (0.002)	Loss 1.7794 (1.8039)	Prec@1 52.344 (52.715)	Prec@5 79.688 (81.940)
Epoch: [78][4160/14090]	Time 0.737 (0.750)	Data 0.002 (0.002)	Loss 2.0436 (1.8038)	Prec@1 46.094 (52.718)	Prec@5 77.344 (81.941)
Epoch: [78][4170/14090]	Time 0.738 (0.750)	Data 0.001 (0.002)	Loss 2.4234 (1.8039)	Prec@1 42.188 (52.717)	Prec@5 72.656 (81.942)
Epoch: [78][4180/14090]	Time 0.753 (0.750)	Data 0.001 (0.002)	Loss 1.5681 (1.8037)	Prec@1 60.156 (52.722)	Prec@5 86.719 (81.946)
Epoch: [78][4190/14090]	Time 0.743 (0.750)	Data 0.001 (0.002)	Loss 1.7874 (1.8035)	Prec@1 52.344 (52.721)	Prec@5 81.250 (81.951)
Epoch: [78][4200/14090]	Time 0.765 (0.750)	Data 0.001 (0.002)	Loss 1.5138 (1.8035)	Prec@1 57.812 (52.720)	Prec@5 89.062 (81.949)
Epoch: [78][4210/14090]	Time 0.741 (0.750)	Data 0.001 (0.002)	Loss 1.8226 (1.8036)	Prec@1 53.906 (52.718)	Prec@5 81.250 (81.949)
Epoch: [78][4220/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 1.7587 (1.8038)	Prec@1 59.375 (52.715)	Prec@5 80.469 (81.943)
Epoch: [78][4230/14090]	Time 0.736 (0.750)	Data 0.002 (0.002)	Loss 1.7264 (1.8038)	Prec@1 53.906 (52.714)	Prec@5 82.031 (81.942)
Epoch: [78][4240/14090]	Time 0.744 (0.750)	Data 0.001 (0.002)	Loss 1.9338 (1.8037)	Prec@1 50.000 (52.717)	Prec@5 79.688 (81.942)
Epoch: [78][4250/14090]	Time 0.747 (0.750)	Data 0.001 (0.002)	Loss 1.5781 (1.8036)	Prec@1 57.812 (52.719)	Prec@5 87.500 (81.946)
Epoch: [78][4260/14090]	Time 0.768 (0.750)	Data 0.001 (0.002)	Loss 1.6427 (1.8035)	Prec@1 63.281 (52.726)	Prec@5 82.812 (81.946)
Epoch: [78][4270/14090]	Time 0.753 (0.750)	Data 0.001 (0.002)	Loss 1.8885 (1.8035)	Prec@1 52.344 (52.727)	Prec@5 77.344 (81.946)
Epoch: [78][4280/14090]	Time 0.755 (0.750)	Data 0.001 (0.002)	Loss 1.7720 (1.8033)	Prec@1 53.906 (52.732)	Prec@5 80.469 (81.947)
Epoch: [78][4290/14090]	Time 0.754 (0.750)	Data 0.001 (0.002)	Loss 2.0175 (1.8034)	Prec@1 50.781 (52.728)	Prec@5 78.906 (81.947)
Epoch: [78][4300/14090]	Time 0.744 (0.750)	Data 0.002 (0.002)	Loss 1.6048 (1.8034)	Prec@1 57.031 (52.731)	Prec@5 86.719 (81.948)
Epoch: [78][4310/14090]	Time 0.747 (0.750)	Data 0.001 (0.002)	Loss 1.8845 (1.8035)	Prec@1 49.219 (52.731)	Prec@5 79.688 (81.946)
Epoch: [78][4320/14090]	Time 0.740 (0.750)	Data 0.001 (0.002)	Loss 1.6936 (1.8034)	Prec@1 50.781 (52.727)	Prec@5 85.938 (81.949)
Epoch: [78][4330/14090]	Time 0.743 (0.750)	Data 0.001 (0.002)	Loss 1.9210 (1.8035)	Prec@1 54.688 (52.724)	Prec@5 79.688 (81.949)
Epoch: [78][4340/14090]	Time 0.738 (0.750)	Data 0.001 (0.002)	Loss 2.0266 (1.8034)	Prec@1 52.344 (52.725)	Prec@5 74.219 (81.947)
Epoch: [78][4350/14090]	Time 0.780 (0.750)	Data 0.001 (0.002)	Loss 1.7187 (1.8034)	Prec@1 57.031 (52.725)	Prec@5 85.938 (81.950)
Epoch: [78][4360/14090]	Time 0.729 (0.750)	Data 0.001 (0.002)	Loss 1.6998 (1.8034)	Prec@1 56.250 (52.724)	Prec@5 82.031 (81.951)
Epoch: [78][4370/14090]	Time 0.730 (0.750)	Data 0.002 (0.002)	Loss 1.8530 (1.8034)	Prec@1 54.688 (52.724)	Prec@5 78.906 (81.951)
Epoch: [78][4380/14090]	Time 0.764 (0.750)	Data 0.001 (0.002)	Loss 1.9316 (1.8034)	Prec@1 49.219 (52.720)	Prec@5 76.562 (81.949)
Epoch: [78][4390/14090]	Time 0.733 (0.750)	Data 0.001 (0.002)	Loss 1.9908 (1.8036)	Prec@1 54.688 (52.717)	Prec@5 76.562 (81.946)
Epoch: [78][4400/14090]	Time 0.771 (0.750)	Data 0.001 (0.002)	Loss 1.6736 (1.8034)	Prec@1 51.562 (52.720)	Prec@5 83.594 (81.951)
Epoch: [78][4410/14090]	Time 0.731 (0.750)	Data 0.001 (0.002)	Loss 2.0348 (1.8034)	Prec@1 46.094 (52.721)	Prec@5 74.219 (81.950)
Epoch: [78][4420/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 1.8155 (1.8034)	Prec@1 54.688 (52.721)	Prec@5 81.250 (81.948)
Epoch: [78][4430/14090]	Time 0.762 (0.750)	Data 0.001 (0.002)	Loss 1.8811 (1.8032)	Prec@1 51.562 (52.724)	Prec@5 79.688 (81.950)
Epoch: [78][4440/14090]	Time 0.728 (0.750)	Data 0.002 (0.002)	Loss 1.5533 (1.8029)	Prec@1 57.031 (52.733)	Prec@5 86.719 (81.955)
Epoch: [78][4450/14090]	Time 0.760 (0.750)	Data 0.001 (0.002)	Loss 1.7543 (1.8028)	Prec@1 52.344 (52.737)	Prec@5 82.031 (81.958)
Epoch: [78][4460/14090]	Time 0.741 (0.750)	Data 0.001 (0.002)	Loss 1.7267 (1.8029)	Prec@1 56.250 (52.737)	Prec@5 82.031 (81.954)
Epoch: [78][4470/14090]	Time 0.736 (0.750)	Data 0.001 (0.002)	Loss 1.7627 (1.8029)	Prec@1 53.125 (52.740)	Prec@5 82.031 (81.954)
Epoch: [78][4480/14090]	Time 0.766 (0.750)	Data 0.001 (0.002)	Loss 1.7819 (1.8029)	Prec@1 51.562 (52.742)	Prec@5 83.594 (81.955)
Epoch: [78][4490/14090]	Time 0.747 (0.750)	Data 0.001 (0.002)	Loss 1.7884 (1.8030)	Prec@1 53.906 (52.741)	Prec@5 82.031 (81.951)
Epoch: [78][4500/14090]	Time 0.724 (0.750)	Data 0.001 (0.002)	Loss 1.8600 (1.8029)	Prec@1 50.781 (52.743)	Prec@5 82.031 (81.951)
Epoch: [78][4510/14090]	Time 0.739 (0.750)	Data 0.002 (0.002)	Loss 1.5185 (1.8029)	Prec@1 60.938 (52.741)	Prec@5 85.938 (81.952)
Epoch: [78][4520/14090]	Time 0.782 (0.750)	Data 0.001 (0.002)	Loss 1.6462 (1.8028)	Prec@1 54.688 (52.743)	Prec@5 80.469 (81.955)
Epoch: [78][4530/14090]	Time 0.737 (0.750)	Data 0.001 (0.002)	Loss 1.6316 (1.8026)	Prec@1 54.688 (52.746)	Prec@5 85.938 (81.956)
Epoch: [78][4540/14090]	Time 0.735 (0.750)	Data 0.001 (0.002)	Loss 2.0341 (1.8028)	Prec@1 48.438 (52.743)	Prec@5 77.344 (81.954)
Epoch: [78][4550/14090]	Time 0.758 (0.750)	Data 0.001 (0.002)	Loss 1.8358 (1.8027)	Prec@1 53.906 (52.746)	Prec@5 83.594 (81.958)
Epoch: [78][4560/14090]	Time 0.747 (0.750)	Data 0.001 (0.002)	Loss 1.5410 (1.8026)	Prec@1 60.156 (52.749)	Prec@5 88.281 (81.960)
Epoch: [78][4570/14090]	Time 0.780 (0.750)	Data 0.001 (0.002)	Loss 1.6017 (1.8025)	Prec@1 53.906 (52.752)	Prec@5 85.156 (81.962)
Epoch: [78][4580/14090]	Time 0.745 (0.750)	Data 0.002 (0.002)	Loss 1.8796 (1.8026)	Prec@1 53.906 (52.749)	Prec@5 82.812 (81.964)
Epoch: [78][4590/14090]	Time 0.751 (0.750)	Data 0.001 (0.002)	Loss 2.0197 (1.8030)	Prec@1 50.000 (52.740)	Prec@5 78.906 (81.958)
Epoch: [78][4600/14090]	Time 0.753 (0.750)	Data 0.001 (0.002)	Loss 1.6471 (1.8028)	Prec@1 53.906 (52.745)	Prec@5 85.938 (81.960)
Epoch: [78][4610/14090]	Time 0.777 (0.750)	Data 0.001 (0.002)	Loss 1.7900 (1.8027)	Prec@1 52.344 (52.745)	Prec@5 79.688 (81.962)
Epoch: [78][4620/14090]	Time 0.754 (0.750)	Data 0.001 (0.002)	Loss 1.6067 (1.8026)	Prec@1 54.688 (52.744)	Prec@5 85.156 (81.966)
Epoch: [78][4630/14090]	Time 0.769 (0.750)	Data 0.001 (0.002)	Loss 2.2402 (1.8026)	Prec@1 44.531 (52.744)	Prec@5 75.781 (81.963)
Epoch: [78][4640/14090]	Time 0.790 (0.750)	Data 0.001 (0.002)	Loss 1.8067 (1.8026)	Prec@1 52.344 (52.746)	Prec@5 83.594 (81.966)
Epoch: [78][4650/14090]	Time 0.743 (0.750)	Data 0.002 (0.002)	Loss 1.7396 (1.8026)	Prec@1 52.344 (52.744)	Prec@5 84.375 (81.964)
Epoch: [78][4660/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 1.8682 (1.8027)	Prec@1 51.562 (52.745)	Prec@5 81.250 (81.962)
Epoch: [78][4670/14090]	Time 0.742 (0.750)	Data 0.001 (0.002)	Loss 1.4422 (1.8027)	Prec@1 60.156 (52.742)	Prec@5 88.281 (81.964)
Epoch: [78][4680/14090]	Time 0.731 (0.750)	Data 0.001 (0.002)	Loss 1.8841 (1.8029)	Prec@1 50.781 (52.739)	Prec@5 81.250 (81.964)
Epoch: [78][4690/14090]	Time 0.759 (0.750)	Data 0.001 (0.002)	Loss 2.1244 (1.8031)	Prec@1 45.312 (52.733)	Prec@5 74.219 (81.959)
Epoch: [78][4700/14090]	Time 0.746 (0.750)	Data 0.001 (0.002)	Loss 1.8807 (1.8032)	Prec@1 53.125 (52.731)	Prec@5 78.125 (81.957)
Epoch: [78][4710/14090]	Time 0.755 (0.750)	Data 0.001 (0.002)	Loss 1.9058 (1.8033)	Prec@1 50.000 (52.729)	Prec@5 82.031 (81.957)
Epoch: [78][4720/14090]	Time 0.738 (0.750)	Data 0.002 (0.002)	Loss 2.0413 (1.8032)	Prec@1 48.438 (52.734)	Prec@5 76.562 (81.958)
Epoch: [78][4730/14090]	Time 0.739 (0.750)	Data 0.001 (0.002)	Loss 1.6731 (1.8033)	Prec@1 57.031 (52.731)	Prec@5 85.156 (81.957)
Epoch: [78][4740/14090]	Time 0.751 (0.750)	Data 0.001 (0.002)	Loss 2.2041 (1.8033)	Prec@1 36.719 (52.726)	Prec@5 72.656 (81.955)
Epoch: [78][4750/14090]	Time 0.775 (0.750)	Data 0.001 (0.002)	Loss 1.7659 (1.8034)	Prec@1 56.250 (52.727)	Prec@5 84.375 (81.953)
Epoch: [78][4760/14090]	Time 0.745 (0.750)	Data 0.001 (0.002)	Loss 1.8522 (1.8035)	Prec@1 49.219 (52.724)	Prec@5 78.906 (81.953)
Epoch: [78][4770/14090]	Time 0.764 (0.750)	Data 0.001 (0.002)	Loss 1.8498 (1.8034)	Prec@1 52.344 (52.729)	Prec@5 81.250 (81.954)
Epoch: [78][4780/14090]	Time 0.740 (0.750)	Data 0.001 (0.002)	Loss 1.6879 (1.8033)	Prec@1 53.125 (52.728)	Prec@5 86.719 (81.959)
Epoch: [78][4790/14090]	Time 0.746 (0.750)	Data 0.002 (0.002)	Loss 1.7266 (1.8034)	Prec@1 55.469 (52.727)	Prec@5 84.375 (81.956)
Epoch: [78][4800/14090]	Time 0.732 (0.750)	Data 0.001 (0.002)	Loss 1.6215 (1.8037)	Prec@1 57.031 (52.720)	Prec@5 84.375 (81.953)
Epoch: [78][4810/14090]	Time 0.757 (0.750)	Data 0.001 (0.002)	Loss 1.8092 (1.8037)	Prec@1 51.562 (52.716)	Prec@5 82.031 (81.952)
Epoch: [78][4820/14090]	Time 0.787 (0.750)	Data 0.001 (0.002)	Loss 1.7354 (1.8037)	Prec@1 56.250 (52.716)	Prec@5 84.375 (81.951)
Epoch: [78][4830/14090]	Time 0.748 (0.750)	Data 0.001 (0.002)	Loss 1.6348 (1.8035)	Prec@1 53.906 (52.719)	Prec@5 89.062 (81.954)
Epoch: [78][4840/14090]	Time 0.755 (0.750)	Data 0.001 (0.002)	Loss 1.6991 (1.8038)	Prec@1 53.125 (52.714)	Prec@5 80.469 (81.951)
Epoch: [78][4850/14090]	Time 0.755 (0.750)	Data 0.001 (0.002)	Loss 2.1425 (1.8039)	Prec@1 43.750 (52.715)	Prec@5 76.562 (81.948)
Epoch: [78][4860/14090]	Time 0.743 (0.750)	Data 0.002 (0.002)	Loss 1.8681 (1.8040)	Prec@1 50.000 (52.713)	Prec@5 82.031 (81.944)
Epoch: [78][4870/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 1.5697 (1.8038)	Prec@1 58.594 (52.718)	Prec@5 85.156 (81.947)
Epoch: [78][4880/14090]	Time 0.776 (0.750)	Data 0.001 (0.002)	Loss 1.7788 (1.8038)	Prec@1 51.562 (52.717)	Prec@5 85.156 (81.946)
Epoch: [78][4890/14090]	Time 0.746 (0.750)	Data 0.001 (0.002)	Loss 1.3799 (1.8037)	Prec@1 63.281 (52.717)	Prec@5 89.844 (81.948)
Epoch: [78][4900/14090]	Time 0.756 (0.750)	Data 0.001 (0.002)	Loss 1.9642 (1.8038)	Prec@1 50.781 (52.713)	Prec@5 76.562 (81.946)
Epoch: [78][4910/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 1.6735 (1.8039)	Prec@1 53.125 (52.711)	Prec@5 83.594 (81.948)
Epoch: [78][4920/14090]	Time 0.754 (0.750)	Data 0.001 (0.002)	Loss 1.8914 (1.8038)	Prec@1 50.781 (52.712)	Prec@5 79.688 (81.947)
Epoch: [78][4930/14090]	Time 0.779 (0.750)	Data 0.002 (0.002)	Loss 1.7960 (1.8039)	Prec@1 56.250 (52.713)	Prec@5 82.812 (81.946)
Epoch: [78][4940/14090]	Time 0.734 (0.750)	Data 0.001 (0.002)	Loss 1.8588 (1.8037)	Prec@1 50.781 (52.715)	Prec@5 81.250 (81.950)
Epoch: [78][4950/14090]	Time 0.748 (0.750)	Data 0.001 (0.002)	Loss 1.9135 (1.8039)	Prec@1 51.562 (52.711)	Prec@5 78.125 (81.944)
Epoch: [78][4960/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 1.7210 (1.8040)	Prec@1 51.562 (52.711)	Prec@5 87.500 (81.942)
Epoch: [78][4970/14090]	Time 0.740 (0.750)	Data 0.001 (0.002)	Loss 2.0199 (1.8042)	Prec@1 50.781 (52.705)	Prec@5 81.250 (81.937)
Epoch: [78][4980/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 1.5496 (1.8042)	Prec@1 59.375 (52.707)	Prec@5 84.375 (81.940)
Epoch: [78][4990/14090]	Time 0.754 (0.750)	Data 0.001 (0.002)	Loss 2.0001 (1.8041)	Prec@1 50.781 (52.710)	Prec@5 75.781 (81.941)
Epoch: [78][5000/14090]	Time 0.775 (0.750)	Data 0.002 (0.002)	Loss 1.5164 (1.8040)	Prec@1 57.812 (52.714)	Prec@5 87.500 (81.942)
Epoch: [78][5010/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 1.8347 (1.8039)	Prec@1 54.688 (52.716)	Prec@5 82.031 (81.943)
Epoch: [78][5020/14090]	Time 0.729 (0.750)	Data 0.001 (0.002)	Loss 1.6898 (1.8038)	Prec@1 56.250 (52.718)	Prec@5 80.469 (81.947)
Epoch: [78][5030/14090]	Time 0.758 (0.750)	Data 0.001 (0.002)	Loss 1.4505 (1.8038)	Prec@1 59.375 (52.713)	Prec@5 88.281 (81.948)
Epoch: [78][5040/14090]	Time 0.755 (0.750)	Data 0.001 (0.002)	Loss 1.5251 (1.8037)	Prec@1 68.750 (52.715)	Prec@5 85.156 (81.950)
Epoch: [78][5050/14090]	Time 0.742 (0.750)	Data 0.001 (0.002)	Loss 1.7235 (1.8038)	Prec@1 58.594 (52.717)	Prec@5 85.938 (81.951)
Epoch: [78][5060/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 1.9167 (1.8041)	Prec@1 50.781 (52.711)	Prec@5 76.562 (81.946)
Epoch: [78][5070/14090]	Time 0.784 (0.750)	Data 0.002 (0.002)	Loss 1.8252 (1.8040)	Prec@1 56.250 (52.715)	Prec@5 80.469 (81.946)
Epoch: [78][5080/14090]	Time 0.746 (0.750)	Data 0.001 (0.002)	Loss 2.1267 (1.8040)	Prec@1 45.312 (52.716)	Prec@5 78.906 (81.943)
Epoch: [78][5090/14090]	Time 0.738 (0.750)	Data 0.001 (0.002)	Loss 1.8808 (1.8042)	Prec@1 48.438 (52.710)	Prec@5 80.469 (81.941)
Epoch: [78][5100/14090]	Time 0.732 (0.750)	Data 0.001 (0.002)	Loss 1.8549 (1.8043)	Prec@1 47.656 (52.705)	Prec@5 81.250 (81.938)
Epoch: [78][5110/14090]	Time 0.744 (0.750)	Data 0.001 (0.002)	Loss 1.4583 (1.8043)	Prec@1 57.031 (52.706)	Prec@5 87.500 (81.938)
Epoch: [78][5120/14090]	Time 0.757 (0.750)	Data 0.001 (0.002)	Loss 1.6384 (1.8044)	Prec@1 55.469 (52.706)	Prec@5 85.938 (81.940)
Epoch: [78][5130/14090]	Time 0.727 (0.750)	Data 0.001 (0.002)	Loss 1.7316 (1.8042)	Prec@1 53.906 (52.711)	Prec@5 82.031 (81.942)
Epoch: [78][5140/14090]	Time 0.780 (0.750)	Data 0.002 (0.002)	Loss 1.7049 (1.8042)	Prec@1 53.125 (52.708)	Prec@5 85.156 (81.943)
Epoch: [78][5150/14090]	Time 0.764 (0.750)	Data 0.001 (0.002)	Loss 1.6829 (1.8041)	Prec@1 54.688 (52.706)	Prec@5 85.938 (81.946)
Epoch: [78][5160/14090]	Time 0.735 (0.750)	Data 0.001 (0.002)	Loss 1.5375 (1.8040)	Prec@1 61.719 (52.707)	Prec@5 85.156 (81.948)
Epoch: [78][5170/14090]	Time 0.767 (0.750)	Data 0.001 (0.002)	Loss 1.8823 (1.8040)	Prec@1 46.094 (52.707)	Prec@5 81.250 (81.947)
Epoch: [78][5180/14090]	Time 0.732 (0.750)	Data 0.001 (0.002)	Loss 1.9706 (1.8040)	Prec@1 52.344 (52.709)	Prec@5 79.688 (81.949)
Epoch: [78][5190/14090]	Time 0.782 (0.750)	Data 0.001 (0.002)	Loss 1.8429 (1.8040)	Prec@1 50.000 (52.708)	Prec@5 81.250 (81.948)
Epoch: [78][5200/14090]	Time 0.760 (0.750)	Data 0.001 (0.002)	Loss 1.5837 (1.8039)	Prec@1 50.781 (52.706)	Prec@5 85.938 (81.950)
Epoch: [78][5210/14090]	Time 0.765 (0.750)	Data 0.002 (0.002)	Loss 1.8482 (1.8038)	Prec@1 50.000 (52.708)	Prec@5 82.812 (81.953)
Epoch: [78][5220/14090]	Time 0.742 (0.750)	Data 0.001 (0.002)	Loss 1.5961 (1.8037)	Prec@1 54.688 (52.713)	Prec@5 85.156 (81.956)
Epoch: [78][5230/14090]	Time 0.766 (0.750)	Data 0.001 (0.002)	Loss 1.6926 (1.8038)	Prec@1 57.812 (52.714)	Prec@5 85.938 (81.957)
Epoch: [78][5240/14090]	Time 0.734 (0.750)	Data 0.001 (0.002)	Loss 1.5337 (1.8037)	Prec@1 53.906 (52.714)	Prec@5 88.281 (81.959)
Epoch: [78][5250/14090]	Time 0.726 (0.750)	Data 0.001 (0.002)	Loss 2.1315 (1.8038)	Prec@1 50.000 (52.712)	Prec@5 75.000 (81.958)
Epoch: [78][5260/14090]	Time 0.796 (0.750)	Data 0.001 (0.002)	Loss 1.9200 (1.8039)	Prec@1 50.000 (52.710)	Prec@5 82.812 (81.959)
Epoch: [78][5270/14090]	Time 0.772 (0.750)	Data 0.001 (0.002)	Loss 1.9133 (1.8038)	Prec@1 53.125 (52.710)	Prec@5 78.906 (81.962)
Epoch: [78][5280/14090]	Time 0.763 (0.750)	Data 0.002 (0.002)	Loss 2.0478 (1.8038)	Prec@1 48.438 (52.710)	Prec@5 73.438 (81.963)
Epoch: [78][5290/14090]	Time 0.736 (0.750)	Data 0.001 (0.002)	Loss 1.7557 (1.8039)	Prec@1 55.469 (52.704)	Prec@5 82.812 (81.961)
Epoch: [78][5300/14090]	Time 0.748 (0.750)	Data 0.001 (0.002)	Loss 1.7556 (1.8038)	Prec@1 53.906 (52.706)	Prec@5 85.938 (81.964)
Epoch: [78][5310/14090]	Time 0.764 (0.750)	Data 0.001 (0.002)	Loss 1.4286 (1.8040)	Prec@1 61.719 (52.703)	Prec@5 90.625 (81.960)
Epoch: [78][5320/14090]	Time 0.737 (0.750)	Data 0.001 (0.002)	Loss 1.9912 (1.8040)	Prec@1 50.781 (52.702)	Prec@5 75.781 (81.959)
Epoch: [78][5330/14090]	Time 0.764 (0.750)	Data 0.001 (0.002)	Loss 2.0797 (1.8041)	Prec@1 50.781 (52.701)	Prec@5 81.250 (81.958)
Epoch: [78][5340/14090]	Time 0.759 (0.750)	Data 0.001 (0.002)	Loss 1.8135 (1.8040)	Prec@1 51.562 (52.702)	Prec@5 85.156 (81.960)
Epoch: [78][5350/14090]	Time 0.752 (0.750)	Data 0.003 (0.002)	Loss 1.6856 (1.8042)	Prec@1 57.031 (52.700)	Prec@5 85.156 (81.958)
Epoch: [78][5360/14090]	Time 0.736 (0.750)	Data 0.001 (0.002)	Loss 1.9785 (1.8041)	Prec@1 42.188 (52.696)	Prec@5 83.594 (81.959)
Epoch: [78][5370/14090]	Time 0.744 (0.750)	Data 0.001 (0.002)	Loss 1.6664 (1.8042)	Prec@1 53.906 (52.695)	Prec@5 85.156 (81.956)
Epoch: [78][5380/14090]	Time 0.725 (0.750)	Data 0.001 (0.002)	Loss 2.0058 (1.8044)	Prec@1 45.312 (52.691)	Prec@5 82.031 (81.952)
Epoch: [78][5390/14090]	Time 0.767 (0.750)	Data 0.001 (0.002)	Loss 2.1532 (1.8044)	Prec@1 50.000 (52.689)	Prec@5 73.438 (81.953)
Epoch: [78][5400/14090]	Time 0.727 (0.750)	Data 0.001 (0.002)	Loss 1.6076 (1.8045)	Prec@1 66.406 (52.692)	Prec@5 85.938 (81.954)
Epoch: [78][5410/14090]	Time 0.767 (0.750)	Data 0.001 (0.002)	Loss 1.8640 (1.8044)	Prec@1 48.438 (52.693)	Prec@5 78.125 (81.955)
Epoch: [78][5420/14090]	Time 0.738 (0.750)	Data 0.002 (0.002)	Loss 1.9435 (1.8046)	Prec@1 47.656 (52.691)	Prec@5 81.250 (81.953)
Epoch: [78][5430/14090]	Time 0.770 (0.750)	Data 0.001 (0.002)	Loss 1.7467 (1.8045)	Prec@1 50.000 (52.690)	Prec@5 82.812 (81.955)
Epoch: [78][5440/14090]	Time 0.763 (0.750)	Data 0.001 (0.002)	Loss 1.6277 (1.8046)	Prec@1 51.562 (52.687)	Prec@5 90.625 (81.953)
Epoch: [78][5450/14090]	Time 0.737 (0.750)	Data 0.001 (0.002)	Loss 1.5841 (1.8045)	Prec@1 63.281 (52.690)	Prec@5 83.594 (81.957)
Epoch: [78][5460/14090]	Time 0.738 (0.750)	Data 0.001 (0.002)	Loss 2.0513 (1.8048)	Prec@1 47.656 (52.684)	Prec@5 80.469 (81.954)
Epoch: [78][5470/14090]	Time 0.747 (0.750)	Data 0.001 (0.002)	Loss 1.6981 (1.8048)	Prec@1 54.688 (52.682)	Prec@5 82.812 (81.955)
Epoch: [78][5480/14090]	Time 0.774 (0.750)	Data 0.001 (0.002)	Loss 1.6450 (1.8047)	Prec@1 54.688 (52.684)	Prec@5 86.719 (81.956)
Epoch: [78][5490/14090]	Time 0.744 (0.750)	Data 0.002 (0.002)	Loss 1.9504 (1.8048)	Prec@1 53.125 (52.686)	Prec@5 78.906 (81.955)
Epoch: [78][5500/14090]	Time 0.744 (0.750)	Data 0.001 (0.002)	Loss 1.8293 (1.8049)	Prec@1 50.781 (52.685)	Prec@5 82.812 (81.953)
Epoch: [78][5510/14090]	Time 0.766 (0.750)	Data 0.001 (0.002)	Loss 1.5289 (1.8047)	Prec@1 58.594 (52.688)	Prec@5 87.500 (81.956)
Epoch: [78][5520/14090]	Time 0.735 (0.750)	Data 0.001 (0.002)	Loss 2.0188 (1.8047)	Prec@1 47.656 (52.689)	Prec@5 78.125 (81.957)
Epoch: [78][5530/14090]	Time 0.741 (0.750)	Data 0.001 (0.002)	Loss 1.8459 (1.8047)	Prec@1 39.844 (52.690)	Prec@5 84.375 (81.957)
Epoch: [78][5540/14090]	Time 0.747 (0.750)	Data 0.001 (0.002)	Loss 1.6275 (1.8047)	Prec@1 55.469 (52.689)	Prec@5 86.719 (81.958)
Epoch: [78][5550/14090]	Time 0.755 (0.750)	Data 0.001 (0.002)	Loss 1.5596 (1.8046)	Prec@1 60.938 (52.693)	Prec@5 85.938 (81.960)
Epoch: [78][5560/14090]	Time 0.745 (0.750)	Data 0.002 (0.002)	Loss 1.9257 (1.8046)	Prec@1 51.562 (52.692)	Prec@5 81.250 (81.960)
Epoch: [78][5570/14090]	Time 0.759 (0.750)	Data 0.001 (0.002)	Loss 1.9813 (1.8046)	Prec@1 50.781 (52.694)	Prec@5 82.031 (81.962)
Epoch: [78][5580/14090]	Time 0.722 (0.750)	Data 0.001 (0.002)	Loss 1.8537 (1.8046)	Prec@1 53.125 (52.694)	Prec@5 80.469 (81.962)
Epoch: [78][5590/14090]	Time 0.759 (0.750)	Data 0.001 (0.002)	Loss 1.7571 (1.8046)	Prec@1 57.812 (52.693)	Prec@5 83.594 (81.962)
Epoch: [78][5600/14090]	Time 0.751 (0.750)	Data 0.001 (0.002)	Loss 1.8374 (1.8047)	Prec@1 53.906 (52.693)	Prec@5 77.344 (81.958)
Epoch: [78][5610/14090]	Time 0.744 (0.750)	Data 0.001 (0.002)	Loss 1.5691 (1.8047)	Prec@1 59.375 (52.695)	Prec@5 89.062 (81.959)
Epoch: [78][5620/14090]	Time 0.783 (0.750)	Data 0.001 (0.002)	Loss 1.5886 (1.8045)	Prec@1 53.906 (52.698)	Prec@5 84.375 (81.961)
Epoch: [78][5630/14090]	Time 0.745 (0.750)	Data 0.002 (0.002)	Loss 1.7045 (1.8046)	Prec@1 50.781 (52.695)	Prec@5 84.375 (81.960)
Epoch: [78][5640/14090]	Time 0.741 (0.750)	Data 0.001 (0.002)	Loss 1.4303 (1.8046)	Prec@1 63.281 (52.692)	Prec@5 88.281 (81.962)
Epoch: [78][5650/14090]	Time 0.731 (0.750)	Data 0.001 (0.002)	Loss 2.0694 (1.8047)	Prec@1 49.219 (52.689)	Prec@5 75.781 (81.963)
Epoch: [78][5660/14090]	Time 0.731 (0.750)	Data 0.001 (0.002)	Loss 2.0086 (1.8049)	Prec@1 45.312 (52.684)	Prec@5 78.906 (81.960)
Epoch: [78][5670/14090]	Time 0.756 (0.750)	Data 0.001 (0.002)	Loss 1.6866 (1.8048)	Prec@1 54.688 (52.687)	Prec@5 85.938 (81.961)
Epoch: [78][5680/14090]	Time 0.763 (0.750)	Data 0.001 (0.002)	Loss 1.9114 (1.8050)	Prec@1 48.438 (52.684)	Prec@5 82.031 (81.960)
Epoch: [78][5690/14090]	Time 0.767 (0.750)	Data 0.001 (0.002)	Loss 1.7848 (1.8050)	Prec@1 53.125 (52.684)	Prec@5 80.469 (81.961)
Epoch: [78][5700/14090]	Time 0.724 (0.750)	Data 0.002 (0.002)	Loss 1.3812 (1.8049)	Prec@1 64.062 (52.686)	Prec@5 84.375 (81.964)
Epoch: [78][5710/14090]	Time 0.754 (0.750)	Data 0.001 (0.002)	Loss 1.9636 (1.8049)	Prec@1 50.781 (52.684)	Prec@5 83.594 (81.962)
Epoch: [78][5720/14090]	Time 0.759 (0.750)	Data 0.001 (0.002)	Loss 1.6799 (1.8047)	Prec@1 52.344 (52.688)	Prec@5 86.719 (81.965)
Epoch: [78][5730/14090]	Time 0.751 (0.750)	Data 0.001 (0.002)	Loss 1.7763 (1.8047)	Prec@1 50.000 (52.687)	Prec@5 82.031 (81.968)
Epoch: [78][5740/14090]	Time 0.735 (0.750)	Data 0.001 (0.002)	Loss 1.8748 (1.8046)	Prec@1 51.562 (52.686)	Prec@5 84.375 (81.969)
Epoch: [78][5750/14090]	Time 0.766 (0.750)	Data 0.001 (0.002)	Loss 1.6692 (1.8047)	Prec@1 48.438 (52.681)	Prec@5 84.375 (81.967)
Epoch: [78][5760/14090]	Time 0.761 (0.750)	Data 0.001 (0.002)	Loss 1.7605 (1.8047)	Prec@1 53.906 (52.679)	Prec@5 83.594 (81.968)
Epoch: [78][5770/14090]	Time 0.752 (0.750)	Data 0.002 (0.002)	Loss 1.6093 (1.8047)	Prec@1 64.844 (52.680)	Prec@5 85.156 (81.969)
Epoch: [78][5780/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 1.7706 (1.8047)	Prec@1 56.250 (52.675)	Prec@5 81.250 (81.969)
Epoch: [78][5790/14090]	Time 0.779 (0.750)	Data 0.001 (0.002)	Loss 2.0798 (1.8047)	Prec@1 47.656 (52.674)	Prec@5 75.000 (81.972)
Epoch: [78][5800/14090]	Time 0.743 (0.750)	Data 0.001 (0.002)	Loss 1.8572 (1.8046)	Prec@1 50.781 (52.677)	Prec@5 85.156 (81.973)
Epoch: [78][5810/14090]	Time 0.734 (0.750)	Data 0.001 (0.002)	Loss 1.9209 (1.8046)	Prec@1 44.531 (52.678)	Prec@5 82.812 (81.973)
Epoch: [78][5820/14090]	Time 0.763 (0.750)	Data 0.001 (0.002)	Loss 1.6207 (1.8046)	Prec@1 57.031 (52.679)	Prec@5 87.500 (81.972)
Epoch: [78][5830/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 1.5942 (1.8046)	Prec@1 57.812 (52.680)	Prec@5 87.500 (81.974)
Epoch: [78][5840/14090]	Time 0.752 (0.750)	Data 0.002 (0.002)	Loss 1.9960 (1.8047)	Prec@1 51.562 (52.677)	Prec@5 74.219 (81.971)
Epoch: [78][5850/14090]	Time 0.735 (0.750)	Data 0.001 (0.002)	Loss 1.5452 (1.8047)	Prec@1 58.594 (52.674)	Prec@5 85.156 (81.972)
Epoch: [78][5860/14090]	Time 0.736 (0.750)	Data 0.001 (0.002)	Loss 1.7857 (1.8047)	Prec@1 52.344 (52.673)	Prec@5 81.250 (81.969)
Epoch: [78][5870/14090]	Time 0.768 (0.750)	Data 0.001 (0.002)	Loss 1.7803 (1.8047)	Prec@1 57.812 (52.676)	Prec@5 79.688 (81.969)
Epoch: [78][5880/14090]	Time 0.739 (0.750)	Data 0.001 (0.002)	Loss 1.9630 (1.8047)	Prec@1 45.312 (52.676)	Prec@5 82.812 (81.971)
Epoch: [78][5890/14090]	Time 0.769 (0.750)	Data 0.001 (0.002)	Loss 1.7141 (1.8047)	Prec@1 53.125 (52.673)	Prec@5 85.156 (81.972)
Epoch: [78][5900/14090]	Time 0.770 (0.750)	Data 0.002 (0.002)	Loss 1.8288 (1.8047)	Prec@1 50.000 (52.672)	Prec@5 81.250 (81.972)
Epoch: [78][5910/14090]	Time 0.744 (0.750)	Data 0.003 (0.002)	Loss 1.7019 (1.8048)	Prec@1 52.344 (52.667)	Prec@5 82.812 (81.969)
Epoch: [78][5920/14090]	Time 0.751 (0.750)	Data 0.001 (0.002)	Loss 1.9814 (1.8049)	Prec@1 46.094 (52.663)	Prec@5 76.562 (81.967)
Epoch: [78][5930/14090]	Time 0.758 (0.750)	Data 0.001 (0.002)	Loss 1.5833 (1.8047)	Prec@1 57.031 (52.668)	Prec@5 85.938 (81.968)
Epoch: [78][5940/14090]	Time 0.751 (0.750)	Data 0.001 (0.002)	Loss 1.7403 (1.8048)	Prec@1 57.031 (52.665)	Prec@5 82.031 (81.966)
Epoch: [78][5950/14090]	Time 0.761 (0.750)	Data 0.001 (0.002)	Loss 1.6886 (1.8049)	Prec@1 54.688 (52.664)	Prec@5 83.594 (81.965)
Epoch: [78][5960/14090]	Time 0.770 (0.750)	Data 0.001 (0.002)	Loss 1.6497 (1.8049)	Prec@1 57.812 (52.664)	Prec@5 80.469 (81.964)
Epoch: [78][5970/14090]	Time 0.762 (0.750)	Data 0.001 (0.002)	Loss 1.6938 (1.8048)	Prec@1 53.906 (52.666)	Prec@5 82.031 (81.965)
Epoch: [78][5980/14090]	Time 0.773 (0.750)	Data 0.003 (0.002)	Loss 1.6914 (1.8049)	Prec@1 60.156 (52.666)	Prec@5 77.344 (81.963)
Epoch: [78][5990/14090]	Time 0.737 (0.750)	Data 0.001 (0.002)	Loss 1.8316 (1.8049)	Prec@1 46.875 (52.665)	Prec@5 84.375 (81.962)
Epoch: [78][6000/14090]	Time 0.794 (0.750)	Data 0.001 (0.002)	Loss 2.0852 (1.8049)	Prec@1 45.312 (52.670)	Prec@5 75.000 (81.963)
Epoch: [78][6010/14090]	Time 0.736 (0.750)	Data 0.001 (0.002)	Loss 1.8450 (1.8048)	Prec@1 51.562 (52.669)	Prec@5 80.469 (81.962)
Epoch: [78][6020/14090]	Time 0.792 (0.750)	Data 0.001 (0.002)	Loss 1.7216 (1.8049)	Prec@1 55.469 (52.668)	Prec@5 84.375 (81.961)
Epoch: [78][6030/14090]	Time 0.725 (0.750)	Data 0.001 (0.002)	Loss 1.7147 (1.8050)	Prec@1 53.906 (52.667)	Prec@5 82.812 (81.960)
Epoch: [78][6040/14090]	Time 0.745 (0.750)	Data 0.001 (0.002)	Loss 2.1109 (1.8050)	Prec@1 47.656 (52.666)	Prec@5 72.656 (81.958)
Epoch: [78][6050/14090]	Time 0.750 (0.750)	Data 0.002 (0.002)	Loss 2.0143 (1.8052)	Prec@1 55.469 (52.662)	Prec@5 75.781 (81.955)
Epoch: [78][6060/14090]	Time 0.732 (0.750)	Data 0.001 (0.002)	Loss 1.7479 (1.8052)	Prec@1 55.469 (52.665)	Prec@5 82.031 (81.955)
Epoch: [78][6070/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 1.8092 (1.8051)	Prec@1 56.250 (52.666)	Prec@5 84.375 (81.954)
Epoch: [78][6080/14090]	Time 0.761 (0.750)	Data 0.001 (0.002)	Loss 2.0961 (1.8051)	Prec@1 48.438 (52.664)	Prec@5 71.875 (81.955)
Epoch: [78][6090/14090]	Time 0.737 (0.750)	Data 0.001 (0.002)	Loss 1.8332 (1.8051)	Prec@1 55.469 (52.667)	Prec@5 80.469 (81.954)
Epoch: [78][6100/14090]	Time 0.748 (0.750)	Data 0.001 (0.002)	Loss 1.9881 (1.8051)	Prec@1 51.562 (52.667)	Prec@5 81.250 (81.955)
Epoch: [78][6110/14090]	Time 0.761 (0.750)	Data 0.001 (0.002)	Loss 1.6691 (1.8052)	Prec@1 58.594 (52.665)	Prec@5 85.938 (81.954)
Epoch: [78][6120/14090]	Time 0.729 (0.750)	Data 0.002 (0.002)	Loss 1.6294 (1.8050)	Prec@1 57.812 (52.668)	Prec@5 84.375 (81.956)
Epoch: [78][6130/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 1.9243 (1.8050)	Prec@1 50.000 (52.666)	Prec@5 78.906 (81.955)
Epoch: [78][6140/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 1.9278 (1.8049)	Prec@1 53.125 (52.667)	Prec@5 75.781 (81.956)
Epoch: [78][6150/14090]	Time 0.740 (0.750)	Data 0.001 (0.002)	Loss 1.5592 (1.8049)	Prec@1 60.938 (52.668)	Prec@5 85.938 (81.955)
Epoch: [78][6160/14090]	Time 0.727 (0.750)	Data 0.001 (0.002)	Loss 1.6121 (1.8049)	Prec@1 57.031 (52.667)	Prec@5 84.375 (81.954)
Epoch: [78][6170/14090]	Time 0.746 (0.750)	Data 0.001 (0.002)	Loss 1.8786 (1.8049)	Prec@1 48.438 (52.669)	Prec@5 81.250 (81.953)
Epoch: [78][6180/14090]	Time 0.731 (0.750)	Data 0.001 (0.002)	Loss 1.6765 (1.8049)	Prec@1 57.812 (52.669)	Prec@5 84.375 (81.953)
Epoch: [78][6190/14090]	Time 0.737 (0.750)	Data 0.002 (0.002)	Loss 1.5320 (1.8048)	Prec@1 60.156 (52.671)	Prec@5 87.500 (81.951)
Epoch: [78][6200/14090]	Time 0.773 (0.750)	Data 0.001 (0.002)	Loss 1.7507 (1.8048)	Prec@1 57.031 (52.672)	Prec@5 82.812 (81.952)
Epoch: [78][6210/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 1.6690 (1.8047)	Prec@1 54.688 (52.676)	Prec@5 83.594 (81.953)
Epoch: [78][6220/14090]	Time 0.740 (0.750)	Data 0.001 (0.002)	Loss 1.7322 (1.8048)	Prec@1 56.250 (52.673)	Prec@5 82.031 (81.951)
Epoch: [78][6230/14090]	Time 0.729 (0.750)	Data 0.001 (0.002)	Loss 1.9643 (1.8049)	Prec@1 53.906 (52.673)	Prec@5 81.250 (81.950)
Epoch: [78][6240/14090]	Time 0.747 (0.750)	Data 0.001 (0.002)	Loss 1.6379 (1.8048)	Prec@1 59.375 (52.673)	Prec@5 82.812 (81.954)
Epoch: [78][6250/14090]	Time 0.751 (0.750)	Data 0.001 (0.002)	Loss 1.6900 (1.8048)	Prec@1 54.688 (52.672)	Prec@5 82.031 (81.954)
Epoch: [78][6260/14090]	Time 0.749 (0.750)	Data 0.002 (0.002)	Loss 1.9040 (1.8048)	Prec@1 48.438 (52.669)	Prec@5 78.125 (81.953)
Epoch: [78][6270/14090]	Time 0.764 (0.750)	Data 0.001 (0.002)	Loss 1.7671 (1.8049)	Prec@1 53.125 (52.665)	Prec@5 82.031 (81.951)
Epoch: [78][6280/14090]	Time 0.738 (0.750)	Data 0.002 (0.002)	Loss 1.8333 (1.8050)	Prec@1 51.562 (52.664)	Prec@5 80.469 (81.948)
Epoch: [78][6290/14090]	Time 0.740 (0.750)	Data 0.001 (0.002)	Loss 1.8084 (1.8050)	Prec@1 58.594 (52.665)	Prec@5 77.344 (81.949)
Epoch: [78][6300/14090]	Time 0.729 (0.750)	Data 0.001 (0.002)	Loss 1.8496 (1.8049)	Prec@1 50.000 (52.666)	Prec@5 82.812 (81.952)
Epoch: [78][6310/14090]	Time 0.757 (0.750)	Data 0.001 (0.002)	Loss 1.6524 (1.8048)	Prec@1 59.375 (52.671)	Prec@5 85.156 (81.953)
Epoch: [78][6320/14090]	Time 0.738 (0.750)	Data 0.001 (0.002)	Loss 1.8636 (1.8046)	Prec@1 49.219 (52.674)	Prec@5 78.906 (81.956)
Epoch: [78][6330/14090]	Time 0.749 (0.750)	Data 0.002 (0.002)	Loss 1.6900 (1.8047)	Prec@1 50.000 (52.673)	Prec@5 83.594 (81.954)
Epoch: [78][6340/14090]	Time 0.728 (0.750)	Data 0.001 (0.002)	Loss 1.7641 (1.8047)	Prec@1 52.344 (52.672)	Prec@5 78.906 (81.952)
Epoch: [78][6350/14090]	Time 0.745 (0.750)	Data 0.001 (0.002)	Loss 1.9002 (1.8047)	Prec@1 51.562 (52.669)	Prec@5 82.812 (81.950)
Epoch: [78][6360/14090]	Time 0.729 (0.750)	Data 0.002 (0.002)	Loss 1.6359 (1.8048)	Prec@1 57.031 (52.669)	Prec@5 83.594 (81.950)
Epoch: [78][6370/14090]	Time 0.777 (0.750)	Data 0.001 (0.002)	Loss 1.8374 (1.8049)	Prec@1 47.656 (52.667)	Prec@5 83.594 (81.948)
Epoch: [78][6380/14090]	Time 0.743 (0.750)	Data 0.001 (0.002)	Loss 1.9424 (1.8049)	Prec@1 50.781 (52.666)	Prec@5 81.250 (81.947)
Epoch: [78][6390/14090]	Time 0.780 (0.750)	Data 0.001 (0.002)	Loss 1.8839 (1.8050)	Prec@1 48.438 (52.661)	Prec@5 83.594 (81.950)
Epoch: [78][6400/14090]	Time 0.755 (0.750)	Data 0.002 (0.002)	Loss 1.7998 (1.8051)	Prec@1 50.000 (52.658)	Prec@5 79.688 (81.950)
Epoch: [78][6410/14090]	Time 0.737 (0.750)	Data 0.001 (0.002)	Loss 1.8662 (1.8050)	Prec@1 50.000 (52.657)	Prec@5 78.906 (81.950)
Epoch: [78][6420/14090]	Time 0.788 (0.750)	Data 0.001 (0.002)	Loss 1.8620 (1.8050)	Prec@1 50.000 (52.661)	Prec@5 82.031 (81.950)
Epoch: [78][6430/14090]	Time 0.745 (0.750)	Data 0.001 (0.002)	Loss 1.8843 (1.8050)	Prec@1 50.000 (52.662)	Prec@5 82.812 (81.950)
Epoch: [78][6440/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 1.9107 (1.8052)	Prec@1 50.781 (52.658)	Prec@5 84.375 (81.947)
Epoch: [78][6450/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 1.6277 (1.8052)	Prec@1 55.469 (52.657)	Prec@5 80.469 (81.946)
Epoch: [78][6460/14090]	Time 0.777 (0.750)	Data 0.001 (0.002)	Loss 1.8163 (1.8052)	Prec@1 53.125 (52.655)	Prec@5 81.250 (81.948)
Epoch: [78][6470/14090]	Time 0.763 (0.750)	Data 0.002 (0.002)	Loss 2.0152 (1.8052)	Prec@1 44.531 (52.655)	Prec@5 72.656 (81.944)
Epoch: [78][6480/14090]	Time 0.741 (0.750)	Data 0.001 (0.002)	Loss 2.0783 (1.8054)	Prec@1 47.656 (52.652)	Prec@5 78.125 (81.942)
Epoch: [78][6490/14090]	Time 0.729 (0.750)	Data 0.001 (0.002)	Loss 1.7415 (1.8054)	Prec@1 56.250 (52.651)	Prec@5 80.469 (81.942)
Epoch: [78][6500/14090]	Time 0.761 (0.750)	Data 0.001 (0.002)	Loss 2.2144 (1.8055)	Prec@1 45.312 (52.646)	Prec@5 72.656 (81.941)
Epoch: [78][6510/14090]	Time 0.745 (0.750)	Data 0.001 (0.002)	Loss 1.6083 (1.8055)	Prec@1 53.906 (52.644)	Prec@5 89.062 (81.943)
Epoch: [78][6520/14090]	Time 0.718 (0.750)	Data 0.001 (0.002)	Loss 1.7282 (1.8055)	Prec@1 54.688 (52.646)	Prec@5 85.156 (81.944)
Epoch: [78][6530/14090]	Time 0.729 (0.750)	Data 0.001 (0.002)	Loss 1.9987 (1.8054)	Prec@1 46.875 (52.647)	Prec@5 77.344 (81.945)
Epoch: [78][6540/14090]	Time 0.753 (0.750)	Data 0.002 (0.002)	Loss 1.6561 (1.8052)	Prec@1 60.156 (52.650)	Prec@5 84.375 (81.948)
Epoch: [78][6550/14090]	Time 0.748 (0.750)	Data 0.001 (0.002)	Loss 1.8074 (1.8053)	Prec@1 53.125 (52.648)	Prec@5 83.594 (81.949)
Epoch: [78][6560/14090]	Time 0.774 (0.750)	Data 0.001 (0.002)	Loss 1.7670 (1.8053)	Prec@1 55.469 (52.647)	Prec@5 81.250 (81.949)
Epoch: [78][6570/14090]	Time 0.748 (0.750)	Data 0.001 (0.002)	Loss 1.8006 (1.8052)	Prec@1 58.594 (52.650)	Prec@5 80.469 (81.951)
Epoch: [78][6580/14090]	Time 0.736 (0.750)	Data 0.001 (0.002)	Loss 1.8831 (1.8051)	Prec@1 46.875 (52.651)	Prec@5 85.938 (81.952)
Epoch: [78][6590/14090]	Time 0.729 (0.750)	Data 0.001 (0.002)	Loss 1.8188 (1.8052)	Prec@1 46.875 (52.646)	Prec@5 82.812 (81.950)
Epoch: [78][6600/14090]	Time 0.743 (0.750)	Data 0.001 (0.002)	Loss 1.7469 (1.8053)	Prec@1 53.906 (52.646)	Prec@5 80.469 (81.950)
Epoch: [78][6610/14090]	Time 0.730 (0.750)	Data 0.002 (0.002)	Loss 2.0629 (1.8054)	Prec@1 47.656 (52.645)	Prec@5 77.344 (81.948)
Epoch: [78][6620/14090]	Time 0.760 (0.750)	Data 0.001 (0.002)	Loss 1.8704 (1.8054)	Prec@1 48.438 (52.645)	Prec@5 82.812 (81.947)
Epoch: [78][6630/14090]	Time 0.736 (0.750)	Data 0.001 (0.002)	Loss 1.7256 (1.8054)	Prec@1 55.469 (52.643)	Prec@5 83.594 (81.949)
Epoch: [78][6640/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 1.9293 (1.8055)	Prec@1 49.219 (52.639)	Prec@5 84.375 (81.947)
Epoch: [78][6650/14090]	Time 0.731 (0.750)	Data 0.001 (0.002)	Loss 1.6341 (1.8054)	Prec@1 56.250 (52.639)	Prec@5 82.031 (81.947)
Epoch: [78][6660/14090]	Time 0.780 (0.750)	Data 0.001 (0.002)	Loss 1.7348 (1.8055)	Prec@1 53.125 (52.639)	Prec@5 83.594 (81.947)
Epoch: [78][6670/14090]	Time 0.777 (0.750)	Data 0.001 (0.002)	Loss 1.6641 (1.8054)	Prec@1 57.031 (52.641)	Prec@5 84.375 (81.947)
Epoch: [78][6680/14090]	Time 0.738 (0.750)	Data 0.002 (0.002)	Loss 1.9329 (1.8055)	Prec@1 49.219 (52.638)	Prec@5 80.469 (81.947)
Epoch: [78][6690/14090]	Time 0.761 (0.750)	Data 0.001 (0.002)	Loss 1.8046 (1.8056)	Prec@1 53.906 (52.639)	Prec@5 79.688 (81.946)
Epoch: [78][6700/14090]	Time 0.740 (0.750)	Data 0.001 (0.002)	Loss 2.1703 (1.8056)	Prec@1 43.750 (52.639)	Prec@5 77.344 (81.947)
Epoch: [78][6710/14090]	Time 0.755 (0.750)	Data 0.001 (0.002)	Loss 1.7003 (1.8055)	Prec@1 55.469 (52.641)	Prec@5 83.594 (81.947)
Epoch: [78][6720/14090]	Time 0.734 (0.750)	Data 0.001 (0.002)	Loss 1.8131 (1.8055)	Prec@1 52.344 (52.642)	Prec@5 82.031 (81.948)
Epoch: [78][6730/14090]	Time 0.763 (0.750)	Data 0.001 (0.002)	Loss 1.9205 (1.8057)	Prec@1 53.125 (52.640)	Prec@5 80.469 (81.943)
Epoch: [78][6740/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 1.9497 (1.8057)	Prec@1 53.125 (52.641)	Prec@5 81.250 (81.943)
Epoch: [78][6750/14090]	Time 0.783 (0.750)	Data 0.002 (0.002)	Loss 1.7424 (1.8057)	Prec@1 58.594 (52.642)	Prec@5 85.938 (81.943)
Epoch: [78][6760/14090]	Time 0.753 (0.750)	Data 0.001 (0.002)	Loss 1.8403 (1.8057)	Prec@1 53.906 (52.643)	Prec@5 82.812 (81.942)
Epoch: [78][6770/14090]	Time 0.739 (0.750)	Data 0.001 (0.002)	Loss 1.8659 (1.8057)	Prec@1 50.781 (52.642)	Prec@5 83.594 (81.942)
Epoch: [78][6780/14090]	Time 0.766 (0.750)	Data 0.001 (0.002)	Loss 1.6331 (1.8057)	Prec@1 57.031 (52.640)	Prec@5 86.719 (81.942)
Epoch: [78][6790/14090]	Time 0.728 (0.750)	Data 0.001 (0.002)	Loss 1.4549 (1.8057)	Prec@1 63.281 (52.642)	Prec@5 88.281 (81.943)
Epoch: [78][6800/14090]	Time 0.758 (0.750)	Data 0.001 (0.002)	Loss 1.6793 (1.8056)	Prec@1 53.125 (52.644)	Prec@5 85.938 (81.945)
Epoch: [78][6810/14090]	Time 0.728 (0.750)	Data 0.001 (0.002)	Loss 2.0755 (1.8056)	Prec@1 47.656 (52.645)	Prec@5 79.688 (81.946)
Epoch: [78][6820/14090]	Time 0.743 (0.750)	Data 0.002 (0.002)	Loss 1.9816 (1.8057)	Prec@1 49.219 (52.640)	Prec@5 79.688 (81.945)
Epoch: [78][6830/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 1.7383 (1.8056)	Prec@1 58.594 (52.640)	Prec@5 82.812 (81.946)
Epoch: [78][6840/14090]	Time 0.766 (0.750)	Data 0.001 (0.002)	Loss 2.0903 (1.8057)	Prec@1 43.750 (52.634)	Prec@5 77.344 (81.942)
Epoch: [78][6850/14090]	Time 0.726 (0.750)	Data 0.001 (0.002)	Loss 1.7768 (1.8059)	Prec@1 56.250 (52.631)	Prec@5 82.031 (81.939)
Epoch: [78][6860/14090]	Time 0.769 (0.750)	Data 0.001 (0.002)	Loss 1.7762 (1.8060)	Prec@1 51.562 (52.626)	Prec@5 82.812 (81.939)
Epoch: [78][6870/14090]	Time 0.739 (0.750)	Data 0.001 (0.002)	Loss 1.6834 (1.8059)	Prec@1 57.812 (52.629)	Prec@5 85.938 (81.941)
Epoch: [78][6880/14090]	Time 0.746 (0.750)	Data 0.001 (0.002)	Loss 1.7673 (1.8060)	Prec@1 53.906 (52.626)	Prec@5 80.469 (81.939)
Epoch: [78][6890/14090]	Time 0.736 (0.750)	Data 0.002 (0.002)	Loss 2.0049 (1.8061)	Prec@1 41.406 (52.624)	Prec@5 79.688 (81.936)
Epoch: [78][6900/14090]	Time 0.735 (0.750)	Data 0.001 (0.002)	Loss 1.8129 (1.8062)	Prec@1 53.125 (52.621)	Prec@5 82.031 (81.935)
Epoch: [78][6910/14090]	Time 0.766 (0.750)	Data 0.001 (0.002)	Loss 1.9315 (1.8062)	Prec@1 48.438 (52.623)	Prec@5 78.906 (81.936)
Epoch: [78][6920/14090]	Time 0.735 (0.750)	Data 0.001 (0.002)	Loss 1.4580 (1.8062)	Prec@1 62.500 (52.623)	Prec@5 86.719 (81.937)
Epoch: [78][6930/14090]	Time 0.772 (0.750)	Data 0.001 (0.002)	Loss 1.4875 (1.8060)	Prec@1 58.594 (52.626)	Prec@5 85.156 (81.937)
Epoch: [78][6940/14090]	Time 0.746 (0.750)	Data 0.001 (0.002)	Loss 2.3317 (1.8061)	Prec@1 44.531 (52.624)	Prec@5 69.531 (81.935)
Epoch: [78][6950/14090]	Time 0.744 (0.750)	Data 0.001 (0.002)	Loss 1.9972 (1.8061)	Prec@1 46.875 (52.619)	Prec@5 74.219 (81.937)
Epoch: [78][6960/14090]	Time 0.764 (0.750)	Data 0.002 (0.002)	Loss 1.8847 (1.8061)	Prec@1 56.250 (52.621)	Prec@5 81.250 (81.936)
Epoch: [78][6970/14090]	Time 0.775 (0.750)	Data 0.001 (0.002)	Loss 1.7782 (1.8062)	Prec@1 53.125 (52.621)	Prec@5 80.469 (81.934)
Epoch: [78][6980/14090]	Time 0.746 (0.750)	Data 0.001 (0.002)	Loss 1.8086 (1.8062)	Prec@1 56.250 (52.618)	Prec@5 82.031 (81.932)
Epoch: [78][6990/14090]	Time 0.757 (0.750)	Data 0.001 (0.002)	Loss 1.5908 (1.8061)	Prec@1 57.812 (52.621)	Prec@5 85.156 (81.934)
Epoch: [78][7000/14090]	Time 0.736 (0.750)	Data 0.001 (0.002)	Loss 1.7451 (1.8060)	Prec@1 59.375 (52.623)	Prec@5 83.594 (81.937)
Epoch: [78][7010/14090]	Time 0.741 (0.750)	Data 0.001 (0.002)	Loss 1.7395 (1.8059)	Prec@1 48.438 (52.624)	Prec@5 81.250 (81.938)
Epoch: [78][7020/14090]	Time 0.735 (0.750)	Data 0.001 (0.002)	Loss 1.4317 (1.8059)	Prec@1 57.031 (52.625)	Prec@5 90.625 (81.938)
Epoch: [78][7030/14090]	Time 0.735 (0.750)	Data 0.002 (0.002)	Loss 1.7376 (1.8059)	Prec@1 54.688 (52.626)	Prec@5 79.688 (81.938)
Epoch: [78][7040/14090]	Time 0.770 (0.750)	Data 0.001 (0.002)	Loss 1.8114 (1.8059)	Prec@1 50.781 (52.624)	Prec@5 80.469 (81.938)
Epoch: [78][7050/14090]	Time 0.758 (0.750)	Data 0.001 (0.002)	Loss 2.0666 (1.8060)	Prec@1 43.750 (52.624)	Prec@5 77.344 (81.936)
Epoch: [78][7060/14090]	Time 0.787 (0.750)	Data 0.001 (0.002)	Loss 1.6456 (1.8059)	Prec@1 57.812 (52.628)	Prec@5 86.719 (81.939)
Epoch: [78][7070/14090]	Time 0.754 (0.750)	Data 0.001 (0.002)	Loss 2.0635 (1.8058)	Prec@1 47.656 (52.630)	Prec@5 77.344 (81.939)
Epoch: [78][7080/14090]	Time 0.742 (0.750)	Data 0.001 (0.002)	Loss 1.9223 (1.8059)	Prec@1 50.000 (52.628)	Prec@5 82.812 (81.939)
Epoch: [78][7090/14090]	Time 0.731 (0.750)	Data 0.001 (0.002)	Loss 1.6582 (1.8060)	Prec@1 56.250 (52.628)	Prec@5 86.719 (81.940)
Epoch: [78][7100/14090]	Time 0.736 (0.750)	Data 0.002 (0.002)	Loss 2.1684 (1.8060)	Prec@1 48.438 (52.626)	Prec@5 75.781 (81.939)
Epoch: [78][7110/14090]	Time 0.727 (0.750)	Data 0.001 (0.002)	Loss 1.8057 (1.8061)	Prec@1 48.438 (52.623)	Prec@5 86.719 (81.939)
Epoch: [78][7120/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 1.6736 (1.8061)	Prec@1 57.031 (52.622)	Prec@5 84.375 (81.939)
Epoch: [78][7130/14090]	Time 0.746 (0.750)	Data 0.001 (0.002)	Loss 1.7554 (1.8062)	Prec@1 53.906 (52.618)	Prec@5 80.469 (81.936)
Epoch: [78][7140/14090]	Time 0.738 (0.750)	Data 0.001 (0.002)	Loss 1.5657 (1.8062)	Prec@1 53.906 (52.616)	Prec@5 87.500 (81.937)
Epoch: [78][7150/14090]	Time 0.758 (0.750)	Data 0.001 (0.002)	Loss 1.8209 (1.8063)	Prec@1 53.906 (52.618)	Prec@5 84.375 (81.936)
Epoch: [78][7160/14090]	Time 0.746 (0.750)	Data 0.001 (0.002)	Loss 1.6031 (1.8062)	Prec@1 59.375 (52.620)	Prec@5 83.594 (81.937)
Epoch: [78][7170/14090]	Time 0.786 (0.750)	Data 0.002 (0.002)	Loss 1.8354 (1.8062)	Prec@1 49.219 (52.619)	Prec@5 81.250 (81.936)
Epoch: [78][7180/14090]	Time 0.727 (0.750)	Data 0.001 (0.002)	Loss 1.9643 (1.8062)	Prec@1 50.781 (52.619)	Prec@5 77.344 (81.936)
Epoch: [78][7190/14090]	Time 0.755 (0.750)	Data 0.001 (0.002)	Loss 1.5935 (1.8062)	Prec@1 53.906 (52.619)	Prec@5 87.500 (81.936)
Epoch: [78][7200/14090]	Time 0.745 (0.750)	Data 0.001 (0.002)	Loss 1.8914 (1.8063)	Prec@1 54.688 (52.619)	Prec@5 83.594 (81.934)
Epoch: [78][7210/14090]	Time 0.748 (0.750)	Data 0.001 (0.002)	Loss 1.8400 (1.8064)	Prec@1 44.531 (52.617)	Prec@5 78.906 (81.932)
Epoch: [78][7220/14090]	Time 0.756 (0.750)	Data 0.001 (0.002)	Loss 1.7905 (1.8066)	Prec@1 53.125 (52.614)	Prec@5 84.375 (81.930)
Epoch: [78][7230/14090]	Time 0.734 (0.750)	Data 0.001 (0.002)	Loss 1.7059 (1.8066)	Prec@1 56.250 (52.616)	Prec@5 85.938 (81.930)
Epoch: [78][7240/14090]	Time 0.767 (0.750)	Data 0.002 (0.002)	Loss 1.4431 (1.8064)	Prec@1 59.375 (52.619)	Prec@5 85.938 (81.933)
Epoch: [78][7250/14090]	Time 0.736 (0.750)	Data 0.001 (0.002)	Loss 1.5831 (1.8064)	Prec@1 57.812 (52.621)	Prec@5 83.594 (81.935)
Epoch: [78][7260/14090]	Time 0.771 (0.750)	Data 0.001 (0.002)	Loss 1.5724 (1.8064)	Prec@1 63.281 (52.622)	Prec@5 85.938 (81.933)
Epoch: [78][7270/14090]	Time 0.733 (0.750)	Data 0.001 (0.002)	Loss 1.4542 (1.8064)	Prec@1 60.156 (52.623)	Prec@5 90.625 (81.936)
Epoch: [78][7280/14090]	Time 0.735 (0.750)	Data 0.001 (0.002)	Loss 1.9203 (1.8065)	Prec@1 56.250 (52.622)	Prec@5 78.125 (81.933)
Epoch: [78][7290/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 1.6843 (1.8064)	Prec@1 50.000 (52.621)	Prec@5 88.281 (81.933)
Epoch: [78][7300/14090]	Time 0.768 (0.750)	Data 0.001 (0.002)	Loss 1.9514 (1.8065)	Prec@1 50.000 (52.621)	Prec@5 79.688 (81.930)
Epoch: [78][7310/14090]	Time 0.752 (0.750)	Data 0.002 (0.002)	Loss 1.9059 (1.8066)	Prec@1 49.219 (52.620)	Prec@5 84.375 (81.930)
Epoch: [78][7320/14090]	Time 0.780 (0.750)	Data 0.001 (0.002)	Loss 2.2712 (1.8066)	Prec@1 46.094 (52.622)	Prec@5 76.562 (81.930)
Epoch: [78][7330/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 1.8233 (1.8067)	Prec@1 50.000 (52.619)	Prec@5 81.250 (81.929)
Epoch: [78][7340/14090]	Time 0.742 (0.750)	Data 0.001 (0.002)	Loss 1.8539 (1.8067)	Prec@1 53.125 (52.617)	Prec@5 81.250 (81.930)
Epoch: [78][7350/14090]	Time 0.731 (0.750)	Data 0.001 (0.002)	Loss 1.7820 (1.8067)	Prec@1 50.781 (52.619)	Prec@5 82.812 (81.930)
Epoch: [78][7360/14090]	Time 0.786 (0.750)	Data 0.001 (0.002)	Loss 1.5714 (1.8066)	Prec@1 57.031 (52.620)	Prec@5 84.375 (81.931)
Epoch: [78][7370/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 1.8900 (1.8066)	Prec@1 47.656 (52.622)	Prec@5 82.031 (81.930)
Epoch: [78][7380/14090]	Time 0.723 (0.750)	Data 0.002 (0.002)	Loss 1.7495 (1.8065)	Prec@1 53.125 (52.623)	Prec@5 82.031 (81.933)
Epoch: [78][7390/14090]	Time 0.740 (0.750)	Data 0.001 (0.002)	Loss 2.2415 (1.8066)	Prec@1 46.094 (52.622)	Prec@5 74.219 (81.932)
Epoch: [78][7400/14090]	Time 0.761 (0.750)	Data 0.001 (0.002)	Loss 1.6763 (1.8066)	Prec@1 56.250 (52.623)	Prec@5 81.250 (81.930)
Epoch: [78][7410/14090]	Time 0.782 (0.750)	Data 0.001 (0.002)	Loss 1.8349 (1.8066)	Prec@1 51.562 (52.621)	Prec@5 85.938 (81.932)
Epoch: [78][7420/14090]	Time 0.779 (0.750)	Data 0.001 (0.002)	Loss 1.9590 (1.8067)	Prec@1 46.875 (52.618)	Prec@5 78.906 (81.930)
Epoch: [78][7430/14090]	Time 0.755 (0.750)	Data 0.001 (0.002)	Loss 1.9244 (1.8067)	Prec@1 47.656 (52.616)	Prec@5 79.688 (81.929)
Epoch: [78][7440/14090]	Time 0.732 (0.750)	Data 0.001 (0.002)	Loss 1.8998 (1.8067)	Prec@1 49.219 (52.614)	Prec@5 78.125 (81.930)
Epoch: [78][7450/14090]	Time 0.757 (0.750)	Data 0.002 (0.002)	Loss 1.8050 (1.8066)	Prec@1 53.906 (52.620)	Prec@5 78.906 (81.932)
Epoch: [78][7460/14090]	Time 0.757 (0.750)	Data 0.001 (0.002)	Loss 1.7918 (1.8065)	Prec@1 52.344 (52.620)	Prec@5 80.469 (81.932)
Epoch: [78][7470/14090]	Time 0.755 (0.750)	Data 0.001 (0.002)	Loss 1.4191 (1.8066)	Prec@1 60.156 (52.617)	Prec@5 89.844 (81.931)
Epoch: [78][7480/14090]	Time 0.773 (0.750)	Data 0.001 (0.002)	Loss 1.7942 (1.8068)	Prec@1 51.562 (52.614)	Prec@5 82.031 (81.929)
Epoch: [78][7490/14090]	Time 0.733 (0.750)	Data 0.001 (0.002)	Loss 1.6446 (1.8068)	Prec@1 56.250 (52.612)	Prec@5 84.375 (81.929)
Epoch: [78][7500/14090]	Time 0.773 (0.750)	Data 0.001 (0.002)	Loss 1.7577 (1.8068)	Prec@1 53.125 (52.612)	Prec@5 83.594 (81.930)
Epoch: [78][7510/14090]	Time 0.742 (0.750)	Data 0.001 (0.002)	Loss 1.9531 (1.8068)	Prec@1 52.344 (52.613)	Prec@5 82.031 (81.930)
Epoch: [78][7520/14090]	Time 0.748 (0.750)	Data 0.002 (0.002)	Loss 1.7563 (1.8068)	Prec@1 55.469 (52.612)	Prec@5 82.812 (81.929)
Epoch: [78][7530/14090]	Time 0.727 (0.750)	Data 0.001 (0.002)	Loss 2.0659 (1.8069)	Prec@1 42.188 (52.611)	Prec@5 76.562 (81.928)
Epoch: [78][7540/14090]	Time 0.802 (0.750)	Data 0.001 (0.002)	Loss 1.7102 (1.8069)	Prec@1 55.469 (52.612)	Prec@5 82.812 (81.927)
Epoch: [78][7550/14090]	Time 0.740 (0.750)	Data 0.001 (0.002)	Loss 1.8035 (1.8068)	Prec@1 52.344 (52.613)	Prec@5 82.812 (81.927)
Epoch: [78][7560/14090]	Time 0.756 (0.750)	Data 0.001 (0.002)	Loss 2.0219 (1.8068)	Prec@1 54.688 (52.611)	Prec@5 78.125 (81.928)
Epoch: [78][7570/14090]	Time 0.753 (0.750)	Data 0.001 (0.002)	Loss 1.6228 (1.8068)	Prec@1 56.250 (52.613)	Prec@5 84.375 (81.928)
Epoch: [78][7580/14090]	Time 0.745 (0.750)	Data 0.001 (0.002)	Loss 1.9536 (1.8068)	Prec@1 51.562 (52.613)	Prec@5 81.250 (81.928)
Epoch: [78][7590/14090]	Time 0.765 (0.750)	Data 0.002 (0.002)	Loss 1.7438 (1.8069)	Prec@1 50.781 (52.612)	Prec@5 85.938 (81.929)
Epoch: [78][7600/14090]	Time 0.733 (0.750)	Data 0.001 (0.002)	Loss 1.9234 (1.8069)	Prec@1 52.344 (52.612)	Prec@5 78.125 (81.928)
Epoch: [78][7610/14090]	Time 0.738 (0.750)	Data 0.001 (0.002)	Loss 2.1177 (1.8070)	Prec@1 47.656 (52.610)	Prec@5 75.781 (81.927)
Epoch: [78][7620/14090]	Time 0.766 (0.750)	Data 0.001 (0.002)	Loss 1.9146 (1.8070)	Prec@1 54.688 (52.607)	Prec@5 80.469 (81.925)
Epoch: [78][7630/14090]	Time 0.756 (0.750)	Data 0.001 (0.002)	Loss 1.8754 (1.8070)	Prec@1 49.219 (52.609)	Prec@5 77.344 (81.924)
Epoch: [78][7640/14090]	Time 0.774 (0.750)	Data 0.001 (0.002)	Loss 1.6099 (1.8070)	Prec@1 57.031 (52.610)	Prec@5 82.812 (81.924)
Epoch: [78][7650/14090]	Time 0.756 (0.750)	Data 0.001 (0.002)	Loss 1.8372 (1.8071)	Prec@1 52.344 (52.606)	Prec@5 82.031 (81.922)
Epoch: [78][7660/14090]	Time 0.742 (0.750)	Data 0.002 (0.002)	Loss 1.8015 (1.8071)	Prec@1 50.000 (52.603)	Prec@5 84.375 (81.922)
Epoch: [78][7670/14090]	Time 0.757 (0.750)	Data 0.001 (0.002)	Loss 1.5578 (1.8072)	Prec@1 56.250 (52.603)	Prec@5 91.406 (81.922)
Epoch: [78][7680/14090]	Time 0.748 (0.750)	Data 0.001 (0.002)	Loss 1.6778 (1.8072)	Prec@1 54.688 (52.601)	Prec@5 86.719 (81.920)
Epoch: [78][7690/14090]	Time 0.753 (0.750)	Data 0.001 (0.002)	Loss 1.8377 (1.8074)	Prec@1 50.781 (52.596)	Prec@5 80.469 (81.917)
Epoch: [78][7700/14090]	Time 0.781 (0.750)	Data 0.001 (0.002)	Loss 1.6695 (1.8074)	Prec@1 58.594 (52.594)	Prec@5 82.812 (81.916)
Epoch: [78][7710/14090]	Time 0.734 (0.750)	Data 0.001 (0.002)	Loss 2.3515 (1.8075)	Prec@1 44.531 (52.592)	Prec@5 71.094 (81.915)
Epoch: [78][7720/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 1.5295 (1.8074)	Prec@1 53.906 (52.594)	Prec@5 88.281 (81.917)
Epoch: [78][7730/14090]	Time 0.759 (0.750)	Data 0.002 (0.002)	Loss 1.8732 (1.8075)	Prec@1 50.781 (52.592)	Prec@5 83.594 (81.916)
Epoch: [78][7740/14090]	Time 0.744 (0.750)	Data 0.001 (0.002)	Loss 2.0033 (1.8076)	Prec@1 46.094 (52.593)	Prec@5 78.125 (81.915)
Epoch: [78][7750/14090]	Time 0.734 (0.750)	Data 0.001 (0.002)	Loss 1.5870 (1.8077)	Prec@1 55.469 (52.590)	Prec@5 85.156 (81.914)
Epoch: [78][7760/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 1.7004 (1.8077)	Prec@1 56.250 (52.589)	Prec@5 82.812 (81.914)
Epoch: [78][7770/14090]	Time 0.728 (0.750)	Data 0.001 (0.002)	Loss 1.8118 (1.8077)	Prec@1 47.656 (52.587)	Prec@5 80.469 (81.915)
Epoch: [78][7780/14090]	Time 0.760 (0.750)	Data 0.001 (0.002)	Loss 1.7820 (1.8077)	Prec@1 55.469 (52.585)	Prec@5 81.250 (81.914)
Epoch: [78][7790/14090]	Time 0.757 (0.750)	Data 0.001 (0.002)	Loss 2.0701 (1.8077)	Prec@1 45.312 (52.581)	Prec@5 75.781 (81.913)
Epoch: [78][7800/14090]	Time 0.748 (0.750)	Data 0.002 (0.002)	Loss 1.6958 (1.8076)	Prec@1 54.688 (52.584)	Prec@5 83.594 (81.916)
Epoch: [78][7810/14090]	Time 0.773 (0.750)	Data 0.001 (0.002)	Loss 1.7665 (1.8076)	Prec@1 54.688 (52.584)	Prec@5 84.375 (81.918)
Epoch: [78][7820/14090]	Time 0.795 (0.750)	Data 0.001 (0.002)	Loss 1.9059 (1.8076)	Prec@1 50.781 (52.586)	Prec@5 78.906 (81.918)
Epoch: [78][7830/14090]	Time 0.762 (0.750)	Data 0.001 (0.002)	Loss 1.6747 (1.8075)	Prec@1 58.594 (52.585)	Prec@5 82.031 (81.919)
Epoch: [78][7840/14090]	Time 0.727 (0.750)	Data 0.001 (0.002)	Loss 2.2278 (1.8076)	Prec@1 46.094 (52.584)	Prec@5 75.000 (81.918)
Epoch: [78][7850/14090]	Time 0.767 (0.750)	Data 0.001 (0.002)	Loss 2.1427 (1.8077)	Prec@1 42.188 (52.582)	Prec@5 73.438 (81.916)
Epoch: [78][7860/14090]	Time 0.728 (0.750)	Data 0.001 (0.002)	Loss 2.2129 (1.8077)	Prec@1 39.062 (52.581)	Prec@5 75.781 (81.917)
Epoch: [78][7870/14090]	Time 0.802 (0.750)	Data 0.001 (0.002)	Loss 1.7618 (1.8077)	Prec@1 47.656 (52.578)	Prec@5 82.812 (81.917)
Epoch: [78][7880/14090]	Time 0.736 (0.750)	Data 0.001 (0.002)	Loss 1.6939 (1.8077)	Prec@1 53.125 (52.577)	Prec@5 85.156 (81.917)
Epoch: [78][7890/14090]	Time 0.774 (0.750)	Data 0.001 (0.002)	Loss 1.7512 (1.8077)	Prec@1 54.688 (52.580)	Prec@5 83.594 (81.920)
Epoch: [78][7900/14090]	Time 0.731 (0.750)	Data 0.001 (0.002)	Loss 1.5114 (1.8077)	Prec@1 59.375 (52.581)	Prec@5 87.500 (81.919)
Epoch: [78][7910/14090]	Time 0.748 (0.750)	Data 0.001 (0.002)	Loss 1.6561 (1.8076)	Prec@1 57.031 (52.582)	Prec@5 85.938 (81.919)
Epoch: [78][7920/14090]	Time 0.745 (0.750)	Data 0.001 (0.002)	Loss 1.8198 (1.8078)	Prec@1 53.125 (52.579)	Prec@5 80.469 (81.915)
Epoch: [78][7930/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 1.9952 (1.8079)	Prec@1 45.312 (52.577)	Prec@5 80.469 (81.913)
Epoch: [78][7940/14090]	Time 0.756 (0.750)	Data 0.002 (0.002)	Loss 1.5512 (1.8079)	Prec@1 59.375 (52.574)	Prec@5 85.156 (81.913)
Epoch: [78][7950/14090]	Time 0.727 (0.750)	Data 0.001 (0.002)	Loss 2.0091 (1.8079)	Prec@1 50.000 (52.573)	Prec@5 82.031 (81.916)
Epoch: [78][7960/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 1.9193 (1.8079)	Prec@1 54.688 (52.573)	Prec@5 79.688 (81.915)
Epoch: [78][7970/14090]	Time 0.747 (0.750)	Data 0.001 (0.002)	Loss 1.9777 (1.8079)	Prec@1 48.438 (52.574)	Prec@5 79.688 (81.915)
Epoch: [78][7980/14090]	Time 0.728 (0.750)	Data 0.001 (0.002)	Loss 2.0791 (1.8080)	Prec@1 52.344 (52.573)	Prec@5 77.344 (81.913)
Epoch: [78][7990/14090]	Time 0.781 (0.750)	Data 0.001 (0.002)	Loss 1.7641 (1.8080)	Prec@1 53.125 (52.574)	Prec@5 81.250 (81.913)
Epoch: [78][8000/14090]	Time 0.743 (0.750)	Data 0.001 (0.002)	Loss 1.6384 (1.8080)	Prec@1 56.250 (52.573)	Prec@5 82.812 (81.913)
Epoch: [78][8010/14090]	Time 0.727 (0.750)	Data 0.002 (0.002)	Loss 1.9469 (1.8080)	Prec@1 53.125 (52.571)	Prec@5 78.906 (81.913)
Epoch: [78][8020/14090]	Time 0.733 (0.750)	Data 0.001 (0.002)	Loss 1.8242 (1.8081)	Prec@1 50.781 (52.571)	Prec@5 79.688 (81.911)
Epoch: [78][8030/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 1.9777 (1.8081)	Prec@1 47.656 (52.572)	Prec@5 79.688 (81.911)
Epoch: [78][8040/14090]	Time 0.747 (0.750)	Data 0.001 (0.002)	Loss 1.7454 (1.8082)	Prec@1 55.469 (52.570)	Prec@5 81.250 (81.908)
Epoch: [78][8050/14090]	Time 0.757 (0.750)	Data 0.001 (0.002)	Loss 1.9871 (1.8083)	Prec@1 46.875 (52.570)	Prec@5 79.688 (81.907)
Epoch: [78][8060/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 1.8640 (1.8083)	Prec@1 52.344 (52.569)	Prec@5 82.031 (81.907)
Epoch: [78][8070/14090]	Time 0.758 (0.750)	Data 0.001 (0.002)	Loss 1.9452 (1.8084)	Prec@1 52.344 (52.569)	Prec@5 78.906 (81.906)
Epoch: [78][8080/14090]	Time 0.743 (0.750)	Data 0.002 (0.002)	Loss 1.8300 (1.8083)	Prec@1 55.469 (52.570)	Prec@5 81.250 (81.907)
Epoch: [78][8090/14090]	Time 0.748 (0.750)	Data 0.001 (0.002)	Loss 2.0513 (1.8084)	Prec@1 50.000 (52.569)	Prec@5 77.344 (81.904)
Epoch: [78][8100/14090]	Time 0.746 (0.750)	Data 0.001 (0.002)	Loss 1.7035 (1.8084)	Prec@1 55.469 (52.567)	Prec@5 86.719 (81.905)
Epoch: [78][8110/14090]	Time 0.764 (0.750)	Data 0.001 (0.002)	Loss 1.8106 (1.8084)	Prec@1 51.562 (52.567)	Prec@5 82.031 (81.906)
Epoch: [78][8120/14090]	Time 0.745 (0.750)	Data 0.001 (0.002)	Loss 2.0490 (1.8084)	Prec@1 46.094 (52.564)	Prec@5 76.562 (81.905)
Epoch: [78][8130/14090]	Time 0.746 (0.750)	Data 0.001 (0.002)	Loss 1.7223 (1.8084)	Prec@1 53.125 (52.564)	Prec@5 82.031 (81.904)
Epoch: [78][8140/14090]	Time 0.764 (0.750)	Data 0.001 (0.002)	Loss 1.5632 (1.8083)	Prec@1 55.469 (52.567)	Prec@5 89.062 (81.910)
Epoch: [78][8150/14090]	Time 0.752 (0.750)	Data 0.002 (0.002)	Loss 1.7684 (1.8082)	Prec@1 50.781 (52.568)	Prec@5 84.375 (81.911)
Epoch: [78][8160/14090]	Time 0.769 (0.750)	Data 0.000 (0.002)	Loss 1.3475 (1.8082)	Prec@1 64.844 (52.568)	Prec@5 86.719 (81.909)
Epoch: [78][8170/14090]	Time 0.734 (0.750)	Data 0.001 (0.002)	Loss 1.6697 (1.8081)	Prec@1 51.562 (52.568)	Prec@5 84.375 (81.910)
Epoch: [78][8180/14090]	Time 0.740 (0.750)	Data 0.001 (0.002)	Loss 1.6438 (1.8081)	Prec@1 57.812 (52.568)	Prec@5 83.594 (81.910)
Epoch: [78][8190/14090]	Time 0.740 (0.750)	Data 0.001 (0.002)	Loss 1.7076 (1.8081)	Prec@1 52.344 (52.567)	Prec@5 85.156 (81.909)
Epoch: [78][8200/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 1.4539 (1.8081)	Prec@1 60.938 (52.568)	Prec@5 90.625 (81.910)
Epoch: [78][8210/14090]	Time 0.757 (0.750)	Data 0.001 (0.002)	Loss 1.9526 (1.8081)	Prec@1 53.125 (52.571)	Prec@5 83.594 (81.911)
Epoch: [78][8220/14090]	Time 0.732 (0.750)	Data 0.002 (0.002)	Loss 1.8191 (1.8080)	Prec@1 50.781 (52.569)	Prec@5 81.250 (81.910)
Epoch: [78][8230/14090]	Time 0.757 (0.750)	Data 0.001 (0.002)	Loss 1.5862 (1.8081)	Prec@1 64.844 (52.568)	Prec@5 87.500 (81.911)
Epoch: [78][8240/14090]	Time 0.732 (0.750)	Data 0.001 (0.002)	Loss 2.0254 (1.8081)	Prec@1 43.750 (52.568)	Prec@5 79.688 (81.908)
Epoch: [78][8250/14090]	Time 0.743 (0.750)	Data 0.001 (0.002)	Loss 1.6704 (1.8081)	Prec@1 54.688 (52.569)	Prec@5 82.031 (81.909)
Epoch: [78][8260/14090]	Time 0.733 (0.750)	Data 0.001 (0.002)	Loss 1.6237 (1.8080)	Prec@1 59.375 (52.570)	Prec@5 84.375 (81.910)
Epoch: [78][8270/14090]	Time 0.792 (0.750)	Data 0.001 (0.002)	Loss 1.8837 (1.8081)	Prec@1 46.875 (52.570)	Prec@5 77.344 (81.907)
Epoch: [78][8280/14090]	Time 0.758 (0.750)	Data 0.001 (0.002)	Loss 1.8790 (1.8081)	Prec@1 53.125 (52.570)	Prec@5 77.344 (81.907)
Epoch: [78][8290/14090]	Time 0.746 (0.750)	Data 0.002 (0.002)	Loss 1.9318 (1.8082)	Prec@1 48.438 (52.565)	Prec@5 81.250 (81.905)
Epoch: [78][8300/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 1.6306 (1.8082)	Prec@1 55.469 (52.566)	Prec@5 84.375 (81.906)
Epoch: [78][8310/14090]	Time 0.783 (0.750)	Data 0.001 (0.002)	Loss 1.9620 (1.8083)	Prec@1 44.531 (52.564)	Prec@5 81.250 (81.903)
Epoch: [78][8320/14090]	Time 0.731 (0.750)	Data 0.001 (0.002)	Loss 1.9044 (1.8084)	Prec@1 48.438 (52.563)	Prec@5 80.469 (81.901)
Epoch: [78][8330/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 1.7644 (1.8084)	Prec@1 58.594 (52.563)	Prec@5 81.250 (81.899)
Epoch: [78][8340/14090]	Time 0.754 (0.750)	Data 0.001 (0.002)	Loss 2.0636 (1.8085)	Prec@1 47.656 (52.562)	Prec@5 79.688 (81.898)
Epoch: [78][8350/14090]	Time 0.746 (0.750)	Data 0.001 (0.002)	Loss 1.8367 (1.8084)	Prec@1 50.000 (52.562)	Prec@5 84.375 (81.900)
Epoch: [78][8360/14090]	Time 0.755 (0.750)	Data 0.002 (0.002)	Loss 1.9738 (1.8084)	Prec@1 46.875 (52.562)	Prec@5 83.594 (81.901)
Epoch: [78][8370/14090]	Time 0.766 (0.750)	Data 0.001 (0.002)	Loss 1.9643 (1.8084)	Prec@1 50.000 (52.562)	Prec@5 74.219 (81.900)
Epoch: [78][8380/14090]	Time 0.761 (0.750)	Data 0.001 (0.002)	Loss 1.7008 (1.8084)	Prec@1 53.125 (52.563)	Prec@5 85.156 (81.900)
Epoch: [78][8390/14090]	Time 0.726 (0.750)	Data 0.001 (0.002)	Loss 1.9958 (1.8083)	Prec@1 46.094 (52.562)	Prec@5 79.688 (81.901)
Epoch: [78][8400/14090]	Time 0.768 (0.750)	Data 0.001 (0.002)	Loss 2.1235 (1.8083)	Prec@1 45.312 (52.560)	Prec@5 75.000 (81.901)
Epoch: [78][8410/14090]	Time 0.739 (0.750)	Data 0.001 (0.002)	Loss 1.9069 (1.8083)	Prec@1 53.125 (52.561)	Prec@5 78.125 (81.901)
Epoch: [78][8420/14090]	Time 0.740 (0.750)	Data 0.001 (0.002)	Loss 1.8192 (1.8082)	Prec@1 53.906 (52.562)	Prec@5 84.375 (81.902)
Epoch: [78][8430/14090]	Time 0.737 (0.750)	Data 0.002 (0.002)	Loss 1.8478 (1.8082)	Prec@1 52.344 (52.561)	Prec@5 79.688 (81.903)
Epoch: [78][8440/14090]	Time 0.764 (0.750)	Data 0.001 (0.002)	Loss 1.7993 (1.8081)	Prec@1 51.562 (52.567)	Prec@5 82.031 (81.906)
Epoch: [78][8450/14090]	Time 0.743 (0.750)	Data 0.001 (0.002)	Loss 2.1754 (1.8081)	Prec@1 44.531 (52.566)	Prec@5 71.094 (81.905)
Epoch: [78][8460/14090]	Time 0.732 (0.750)	Data 0.001 (0.001)	Loss 1.9672 (1.8081)	Prec@1 50.000 (52.567)	Prec@5 75.000 (81.903)
Epoch: [78][8470/14090]	Time 0.752 (0.750)	Data 0.001 (0.001)	Loss 1.7747 (1.8082)	Prec@1 56.250 (52.568)	Prec@5 81.250 (81.903)
Epoch: [78][8480/14090]	Time 0.748 (0.750)	Data 0.001 (0.001)	Loss 1.9653 (1.8081)	Prec@1 47.656 (52.568)	Prec@5 82.031 (81.905)
Epoch: [78][8490/14090]	Time 0.754 (0.750)	Data 0.001 (0.001)	Loss 1.8252 (1.8081)	Prec@1 46.875 (52.566)	Prec@5 82.031 (81.906)
Epoch: [78][8500/14090]	Time 0.761 (0.750)	Data 0.002 (0.001)	Loss 1.6909 (1.8082)	Prec@1 54.688 (52.565)	Prec@5 83.594 (81.906)
Epoch: [78][8510/14090]	Time 0.732 (0.750)	Data 0.001 (0.001)	Loss 1.9406 (1.8082)	Prec@1 46.094 (52.564)	Prec@5 82.812 (81.906)
Epoch: [78][8520/14090]	Time 0.751 (0.750)	Data 0.001 (0.001)	Loss 1.8464 (1.8082)	Prec@1 53.906 (52.564)	Prec@5 78.906 (81.904)
Epoch: [78][8530/14090]	Time 0.762 (0.750)	Data 0.001 (0.001)	Loss 1.7623 (1.8083)	Prec@1 50.781 (52.564)	Prec@5 80.469 (81.902)
Epoch: [78][8540/14090]	Time 0.737 (0.750)	Data 0.001 (0.001)	Loss 2.1263 (1.8083)	Prec@1 42.188 (52.565)	Prec@5 78.125 (81.902)
Epoch: [78][8550/14090]	Time 0.730 (0.750)	Data 0.001 (0.001)	Loss 1.7725 (1.8083)	Prec@1 50.000 (52.564)	Prec@5 82.812 (81.903)
Epoch: [78][8560/14090]	Time 0.741 (0.750)	Data 0.001 (0.001)	Loss 1.9089 (1.8083)	Prec@1 52.344 (52.563)	Prec@5 83.594 (81.901)
Epoch: [78][8570/14090]	Time 0.736 (0.750)	Data 0.002 (0.001)	Loss 1.8103 (1.8083)	Prec@1 53.125 (52.566)	Prec@5 81.250 (81.904)
Epoch: [78][8580/14090]	Time 0.766 (0.750)	Data 0.001 (0.001)	Loss 1.6135 (1.8083)	Prec@1 55.469 (52.566)	Prec@5 84.375 (81.903)
Epoch: [78][8590/14090]	Time 0.725 (0.750)	Data 0.001 (0.001)	Loss 1.8912 (1.8082)	Prec@1 52.344 (52.569)	Prec@5 81.250 (81.902)
Epoch: [78][8600/14090]	Time 0.749 (0.750)	Data 0.001 (0.001)	Loss 1.4708 (1.8082)	Prec@1 60.938 (52.570)	Prec@5 87.500 (81.903)
Epoch: [78][8610/14090]	Time 0.736 (0.750)	Data 0.003 (0.001)	Loss 1.6460 (1.8082)	Prec@1 57.031 (52.569)	Prec@5 83.594 (81.902)
Epoch: [78][8620/14090]	Time 0.754 (0.750)	Data 0.001 (0.001)	Loss 2.2045 (1.8083)	Prec@1 46.094 (52.566)	Prec@5 68.750 (81.899)
Epoch: [78][8630/14090]	Time 0.737 (0.750)	Data 0.001 (0.001)	Loss 2.2144 (1.8084)	Prec@1 44.531 (52.563)	Prec@5 73.438 (81.898)
Epoch: [78][8640/14090]	Time 0.766 (0.750)	Data 0.002 (0.001)	Loss 1.8129 (1.8083)	Prec@1 54.688 (52.564)	Prec@5 82.031 (81.900)
Epoch: [78][8650/14090]	Time 0.771 (0.750)	Data 0.001 (0.001)	Loss 1.9165 (1.8083)	Prec@1 53.906 (52.564)	Prec@5 80.469 (81.899)
Epoch: [78][8660/14090]	Time 0.745 (0.750)	Data 0.001 (0.001)	Loss 1.6993 (1.8083)	Prec@1 53.906 (52.567)	Prec@5 80.469 (81.900)
Epoch: [78][8670/14090]	Time 0.757 (0.750)	Data 0.001 (0.001)	Loss 1.8342 (1.8083)	Prec@1 50.000 (52.567)	Prec@5 79.688 (81.897)
Epoch: [78][8680/14090]	Time 0.738 (0.750)	Data 0.001 (0.001)	Loss 1.8328 (1.8083)	Prec@1 54.688 (52.568)	Prec@5 82.812 (81.899)
Epoch: [78][8690/14090]	Time 0.740 (0.750)	Data 0.001 (0.001)	Loss 1.6601 (1.8083)	Prec@1 55.469 (52.567)	Prec@5 82.812 (81.898)
Epoch: [78][8700/14090]	Time 0.733 (0.750)	Data 0.001 (0.001)	Loss 1.7005 (1.8083)	Prec@1 57.031 (52.566)	Prec@5 83.594 (81.897)
Epoch: [78][8710/14090]	Time 0.744 (0.750)	Data 0.002 (0.001)	Loss 1.9689 (1.8083)	Prec@1 53.125 (52.568)	Prec@5 79.688 (81.898)
Epoch: [78][8720/14090]	Time 0.742 (0.750)	Data 0.001 (0.001)	Loss 2.0051 (1.8083)	Prec@1 48.438 (52.566)	Prec@5 78.906 (81.899)
Epoch: [78][8730/14090]	Time 0.755 (0.750)	Data 0.001 (0.001)	Loss 2.0133 (1.8084)	Prec@1 50.000 (52.566)	Prec@5 78.906 (81.897)
Epoch: [78][8740/14090]	Time 0.724 (0.750)	Data 0.001 (0.001)	Loss 1.7245 (1.8082)	Prec@1 56.250 (52.569)	Prec@5 85.156 (81.898)
Epoch: [78][8750/14090]	Time 0.764 (0.750)	Data 0.001 (0.001)	Loss 1.7845 (1.8083)	Prec@1 53.125 (52.567)	Prec@5 83.594 (81.899)
Epoch: [78][8760/14090]	Time 0.739 (0.750)	Data 0.001 (0.001)	Loss 1.8139 (1.8083)	Prec@1 50.000 (52.566)	Prec@5 80.469 (81.900)
Epoch: [78][8770/14090]	Time 0.749 (0.750)	Data 0.001 (0.001)	Loss 1.4900 (1.8082)	Prec@1 59.375 (52.567)	Prec@5 88.281 (81.901)
Epoch: [78][8780/14090]	Time 0.798 (0.750)	Data 0.002 (0.001)	Loss 1.7844 (1.8082)	Prec@1 53.125 (52.568)	Prec@5 82.031 (81.901)
Epoch: [78][8790/14090]	Time 0.772 (0.750)	Data 0.001 (0.001)	Loss 1.8252 (1.8083)	Prec@1 53.125 (52.568)	Prec@5 82.031 (81.902)
Epoch: [78][8800/14090]	Time 0.763 (0.750)	Data 0.001 (0.001)	Loss 1.9100 (1.8084)	Prec@1 52.344 (52.567)	Prec@5 79.688 (81.901)
Epoch: [78][8810/14090]	Time 0.750 (0.750)	Data 0.001 (0.001)	Loss 1.8891 (1.8084)	Prec@1 46.875 (52.566)	Prec@5 82.031 (81.900)
Epoch: [78][8820/14090]	Time 0.759 (0.750)	Data 0.001 (0.001)	Loss 1.6517 (1.8085)	Prec@1 62.500 (52.567)	Prec@5 84.375 (81.900)
Epoch: [78][8830/14090]	Time 0.754 (0.750)	Data 0.001 (0.001)	Loss 1.7696 (1.8085)	Prec@1 51.562 (52.568)	Prec@5 82.031 (81.899)
Epoch: [78][8840/14090]	Time 0.724 (0.750)	Data 0.001 (0.001)	Loss 1.9126 (1.8085)	Prec@1 48.438 (52.566)	Prec@5 81.250 (81.898)
Epoch: [78][8850/14090]	Time 0.739 (0.750)	Data 0.002 (0.001)	Loss 1.6258 (1.8085)	Prec@1 53.906 (52.566)	Prec@5 87.500 (81.898)
Epoch: [78][8860/14090]	Time 0.737 (0.750)	Data 0.001 (0.001)	Loss 1.9017 (1.8084)	Prec@1 52.344 (52.569)	Prec@5 80.469 (81.899)
Epoch: [78][8870/14090]	Time 0.756 (0.750)	Data 0.001 (0.001)	Loss 2.0825 (1.8084)	Prec@1 46.094 (52.569)	Prec@5 72.656 (81.900)
Epoch: [78][8880/14090]	Time 0.723 (0.750)	Data 0.001 (0.001)	Loss 1.8233 (1.8085)	Prec@1 52.344 (52.567)	Prec@5 81.250 (81.897)
Epoch: [78][8890/14090]	Time 0.731 (0.750)	Data 0.001 (0.001)	Loss 2.1964 (1.8084)	Prec@1 46.875 (52.568)	Prec@5 77.344 (81.898)
Epoch: [78][8900/14090]	Time 0.744 (0.750)	Data 0.001 (0.001)	Loss 1.7816 (1.8084)	Prec@1 55.469 (52.569)	Prec@5 84.375 (81.899)
Epoch: [78][8910/14090]	Time 0.734 (0.750)	Data 0.001 (0.001)	Loss 1.5837 (1.8084)	Prec@1 54.688 (52.567)	Prec@5 89.062 (81.900)
Epoch: [78][8920/14090]	Time 0.729 (0.750)	Data 0.002 (0.001)	Loss 1.6861 (1.8084)	Prec@1 53.906 (52.566)	Prec@5 82.812 (81.899)
Epoch: [78][8930/14090]	Time 0.725 (0.750)	Data 0.001 (0.001)	Loss 1.6958 (1.8083)	Prec@1 51.562 (52.568)	Prec@5 85.156 (81.901)
Epoch: [78][8940/14090]	Time 0.722 (0.750)	Data 0.001 (0.001)	Loss 1.7596 (1.8083)	Prec@1 57.031 (52.570)	Prec@5 79.688 (81.901)
Epoch: [78][8950/14090]	Time 0.788 (0.750)	Data 0.001 (0.001)	Loss 1.6919 (1.8083)	Prec@1 58.594 (52.570)	Prec@5 85.156 (81.902)
Epoch: [78][8960/14090]	Time 0.753 (0.750)	Data 0.001 (0.001)	Loss 2.0941 (1.8083)	Prec@1 43.750 (52.567)	Prec@5 76.562 (81.901)
Epoch: [78][8970/14090]	Time 0.727 (0.750)	Data 0.001 (0.001)	Loss 1.8972 (1.8084)	Prec@1 54.688 (52.567)	Prec@5 80.469 (81.901)
Epoch: [78][8980/14090]	Time 0.744 (0.750)	Data 0.001 (0.001)	Loss 1.9715 (1.8085)	Prec@1 47.656 (52.564)	Prec@5 76.562 (81.899)
Epoch: [78][8990/14090]	Time 0.743 (0.750)	Data 0.002 (0.001)	Loss 1.6510 (1.8085)	Prec@1 57.031 (52.563)	Prec@5 86.719 (81.899)
Epoch: [78][9000/14090]	Time 0.758 (0.750)	Data 0.001 (0.001)	Loss 1.8905 (1.8085)	Prec@1 46.875 (52.561)	Prec@5 80.469 (81.899)
Epoch: [78][9010/14090]	Time 0.734 (0.750)	Data 0.001 (0.001)	Loss 1.7839 (1.8084)	Prec@1 51.562 (52.561)	Prec@5 82.812 (81.900)
Epoch: [78][9020/14090]	Time 0.774 (0.750)	Data 0.001 (0.001)	Loss 1.9168 (1.8083)	Prec@1 50.000 (52.564)	Prec@5 80.469 (81.902)
Epoch: [78][9030/14090]	Time 0.765 (0.750)	Data 0.001 (0.001)	Loss 1.7394 (1.8083)	Prec@1 56.250 (52.565)	Prec@5 82.812 (81.902)
Epoch: [78][9040/14090]	Time 0.751 (0.750)	Data 0.001 (0.001)	Loss 1.8852 (1.8083)	Prec@1 48.438 (52.565)	Prec@5 84.375 (81.903)
Epoch: [78][9050/14090]	Time 0.735 (0.750)	Data 0.001 (0.001)	Loss 1.7282 (1.8084)	Prec@1 50.000 (52.565)	Prec@5 81.250 (81.901)
Epoch: [78][9060/14090]	Time 0.739 (0.750)	Data 0.002 (0.001)	Loss 1.9305 (1.8083)	Prec@1 53.125 (52.566)	Prec@5 79.688 (81.901)
Epoch: [78][9070/14090]	Time 0.763 (0.750)	Data 0.002 (0.001)	Loss 1.6885 (1.8083)	Prec@1 53.125 (52.566)	Prec@5 85.938 (81.900)
Epoch: [78][9080/14090]	Time 0.754 (0.750)	Data 0.001 (0.001)	Loss 1.7071 (1.8084)	Prec@1 60.938 (52.567)	Prec@5 82.031 (81.898)
Epoch: [78][9090/14090]	Time 0.743 (0.750)	Data 0.001 (0.001)	Loss 1.9552 (1.8085)	Prec@1 45.312 (52.566)	Prec@5 81.250 (81.897)
Epoch: [78][9100/14090]	Time 0.791 (0.750)	Data 0.001 (0.001)	Loss 1.8706 (1.8085)	Prec@1 47.656 (52.564)	Prec@5 78.906 (81.896)
Epoch: [78][9110/14090]	Time 0.758 (0.750)	Data 0.001 (0.001)	Loss 1.8180 (1.8085)	Prec@1 54.688 (52.562)	Prec@5 82.031 (81.896)
Epoch: [78][9120/14090]	Time 0.753 (0.750)	Data 0.001 (0.001)	Loss 1.8653 (1.8085)	Prec@1 50.781 (52.563)	Prec@5 82.812 (81.896)
Epoch: [78][9130/14090]	Time 0.742 (0.750)	Data 0.002 (0.001)	Loss 1.9128 (1.8085)	Prec@1 50.000 (52.563)	Prec@5 78.906 (81.895)
Epoch: [78][9140/14090]	Time 0.734 (0.750)	Data 0.001 (0.001)	Loss 1.5230 (1.8085)	Prec@1 60.938 (52.560)	Prec@5 85.156 (81.893)
Epoch: [78][9150/14090]	Time 0.778 (0.750)	Data 0.001 (0.001)	Loss 1.8313 (1.8086)	Prec@1 51.562 (52.559)	Prec@5 75.000 (81.891)
Epoch: [78][9160/14090]	Time 0.758 (0.750)	Data 0.001 (0.001)	Loss 1.8674 (1.8087)	Prec@1 47.656 (52.558)	Prec@5 78.125 (81.889)
Epoch: [78][9170/14090]	Time 0.755 (0.750)	Data 0.001 (0.001)	Loss 1.8697 (1.8087)	Prec@1 50.000 (52.558)	Prec@5 82.031 (81.890)
Epoch: [78][9180/14090]	Time 0.758 (0.750)	Data 0.001 (0.001)	Loss 1.8558 (1.8087)	Prec@1 53.906 (52.558)	Prec@5 82.812 (81.890)
Epoch: [78][9190/14090]	Time 0.755 (0.750)	Data 0.001 (0.001)	Loss 1.6614 (1.8087)	Prec@1 59.375 (52.557)	Prec@5 83.594 (81.889)
Epoch: [78][9200/14090]	Time 0.739 (0.750)	Data 0.002 (0.001)	Loss 1.9057 (1.8088)	Prec@1 46.875 (52.557)	Prec@5 78.906 (81.889)
Epoch: [78][9210/14090]	Time 0.748 (0.750)	Data 0.001 (0.001)	Loss 1.6898 (1.8088)	Prec@1 54.688 (52.556)	Prec@5 85.156 (81.890)
Epoch: [78][9220/14090]	Time 0.781 (0.750)	Data 0.001 (0.001)	Loss 1.7538 (1.8087)	Prec@1 53.125 (52.556)	Prec@5 81.250 (81.890)
Epoch: [78][9230/14090]	Time 0.751 (0.750)	Data 0.001 (0.001)	Loss 1.8781 (1.8087)	Prec@1 51.562 (52.556)	Prec@5 78.906 (81.890)
Epoch: [78][9240/14090]	Time 0.753 (0.750)	Data 0.001 (0.001)	Loss 1.9478 (1.8086)	Prec@1 49.219 (52.556)	Prec@5 76.562 (81.889)
Epoch: [78][9250/14090]	Time 0.745 (0.750)	Data 0.001 (0.001)	Loss 1.7722 (1.8088)	Prec@1 54.688 (52.556)	Prec@5 82.812 (81.887)
Epoch: [78][9260/14090]	Time 0.778 (0.750)	Data 0.001 (0.001)	Loss 1.9127 (1.8088)	Prec@1 47.656 (52.555)	Prec@5 78.906 (81.886)
Epoch: [78][9270/14090]	Time 0.756 (0.750)	Data 0.002 (0.001)	Loss 1.9552 (1.8088)	Prec@1 46.094 (52.555)	Prec@5 78.906 (81.885)
Epoch: [78][9280/14090]	Time 0.744 (0.750)	Data 0.001 (0.001)	Loss 2.0013 (1.8090)	Prec@1 45.312 (52.553)	Prec@5 80.469 (81.881)
Epoch: [78][9290/14090]	Time 0.749 (0.750)	Data 0.001 (0.001)	Loss 1.5231 (1.8090)	Prec@1 64.062 (52.552)	Prec@5 85.156 (81.880)
Epoch: [78][9300/14090]	Time 0.740 (0.750)	Data 0.001 (0.001)	Loss 1.8142 (1.8090)	Prec@1 54.688 (52.553)	Prec@5 75.781 (81.880)
Epoch: [78][9310/14090]	Time 0.737 (0.750)	Data 0.001 (0.001)	Loss 1.5129 (1.8089)	Prec@1 57.031 (52.555)	Prec@5 87.500 (81.882)
Epoch: [78][9320/14090]	Time 0.757 (0.750)	Data 0.001 (0.001)	Loss 1.8418 (1.8089)	Prec@1 55.469 (52.556)	Prec@5 79.688 (81.881)
Epoch: [78][9330/14090]	Time 0.751 (0.750)	Data 0.001 (0.001)	Loss 1.9354 (1.8089)	Prec@1 53.906 (52.556)	Prec@5 79.688 (81.883)
Epoch: [78][9340/14090]	Time 0.758 (0.750)	Data 0.002 (0.001)	Loss 1.7484 (1.8089)	Prec@1 47.656 (52.555)	Prec@5 85.156 (81.883)
Epoch: [78][9350/14090]	Time 0.753 (0.750)	Data 0.001 (0.001)	Loss 1.7190 (1.8089)	Prec@1 52.344 (52.554)	Prec@5 81.250 (81.883)
Epoch: [78][9360/14090]	Time 0.762 (0.750)	Data 0.001 (0.001)	Loss 1.5696 (1.8089)	Prec@1 58.594 (52.555)	Prec@5 85.938 (81.882)
Epoch: [78][9370/14090]	Time 0.745 (0.750)	Data 0.001 (0.001)	Loss 1.5490 (1.8089)	Prec@1 57.031 (52.555)	Prec@5 85.156 (81.883)
Epoch: [78][9380/14090]	Time 0.726 (0.750)	Data 0.001 (0.001)	Loss 1.5374 (1.8089)	Prec@1 61.719 (52.555)	Prec@5 88.281 (81.883)
Epoch: [78][9390/14090]	Time 0.764 (0.750)	Data 0.001 (0.001)	Loss 1.8961 (1.8088)	Prec@1 51.562 (52.556)	Prec@5 79.688 (81.884)
Epoch: [78][9400/14090]	Time 0.732 (0.750)	Data 0.001 (0.001)	Loss 1.8221 (1.8088)	Prec@1 54.688 (52.556)	Prec@5 82.031 (81.886)
Epoch: [78][9410/14090]	Time 0.769 (0.750)	Data 0.002 (0.001)	Loss 1.4350 (1.8087)	Prec@1 60.156 (52.556)	Prec@5 89.062 (81.886)
Epoch: [78][9420/14090]	Time 0.755 (0.750)	Data 0.001 (0.001)	Loss 1.9318 (1.8087)	Prec@1 42.969 (52.557)	Prec@5 82.031 (81.887)
Epoch: [78][9430/14090]	Time 0.761 (0.750)	Data 0.001 (0.001)	Loss 1.9758 (1.8088)	Prec@1 48.438 (52.557)	Prec@5 77.344 (81.887)
Epoch: [78][9440/14090]	Time 0.741 (0.750)	Data 0.001 (0.001)	Loss 1.7595 (1.8088)	Prec@1 53.906 (52.556)	Prec@5 84.375 (81.887)
Epoch: [78][9450/14090]	Time 0.774 (0.750)	Data 0.001 (0.001)	Loss 1.8603 (1.8088)	Prec@1 49.219 (52.555)	Prec@5 83.594 (81.888)
Epoch: [78][9460/14090]	Time 0.727 (0.750)	Data 0.001 (0.001)	Loss 1.6314 (1.8087)	Prec@1 55.469 (52.559)	Prec@5 85.156 (81.889)
Epoch: [78][9470/14090]	Time 0.724 (0.750)	Data 0.001 (0.001)	Loss 1.7877 (1.8088)	Prec@1 55.469 (52.558)	Prec@5 84.375 (81.886)
Epoch: [78][9480/14090]	Time 0.750 (0.750)	Data 0.002 (0.001)	Loss 2.0086 (1.8088)	Prec@1 48.438 (52.557)	Prec@5 77.344 (81.886)
Epoch: [78][9490/14090]	Time 0.754 (0.750)	Data 0.001 (0.001)	Loss 1.9372 (1.8089)	Prec@1 50.000 (52.554)	Prec@5 78.125 (81.884)
Epoch: [78][9500/14090]	Time 0.747 (0.750)	Data 0.001 (0.001)	Loss 1.8095 (1.8089)	Prec@1 55.469 (52.553)	Prec@5 78.906 (81.883)
Epoch: [78][9510/14090]	Time 0.734 (0.750)	Data 0.001 (0.001)	Loss 1.9907 (1.8089)	Prec@1 50.781 (52.554)	Prec@5 75.781 (81.883)
Epoch: [78][9520/14090]	Time 0.726 (0.749)	Data 0.001 (0.001)	Loss 1.7922 (1.8089)	Prec@1 52.344 (52.554)	Prec@5 82.031 (81.884)
Epoch: [78][9530/14090]	Time 0.733 (0.749)	Data 0.001 (0.001)	Loss 2.0493 (1.8088)	Prec@1 51.562 (52.556)	Prec@5 76.562 (81.887)
Epoch: [78][9540/14090]	Time 0.752 (0.750)	Data 0.001 (0.001)	Loss 1.5340 (1.8087)	Prec@1 58.594 (52.557)	Prec@5 85.156 (81.888)
Epoch: [78][9550/14090]	Time 0.737 (0.749)	Data 0.002 (0.001)	Loss 2.0700 (1.8088)	Prec@1 46.094 (52.554)	Prec@5 82.031 (81.888)
Epoch: [78][9560/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 1.8968 (1.8088)	Prec@1 49.219 (52.552)	Prec@5 81.250 (81.888)
Epoch: [78][9570/14090]	Time 0.755 (0.749)	Data 0.001 (0.001)	Loss 1.8209 (1.8088)	Prec@1 52.344 (52.554)	Prec@5 77.344 (81.886)
Epoch: [78][9580/14090]	Time 0.739 (0.750)	Data 0.001 (0.001)	Loss 1.7499 (1.8089)	Prec@1 55.469 (52.552)	Prec@5 82.812 (81.885)
Epoch: [78][9590/14090]	Time 0.730 (0.749)	Data 0.001 (0.001)	Loss 1.6634 (1.8088)	Prec@1 52.344 (52.554)	Prec@5 86.719 (81.886)
Epoch: [78][9600/14090]	Time 0.719 (0.749)	Data 0.001 (0.001)	Loss 1.6391 (1.8088)	Prec@1 51.562 (52.555)	Prec@5 85.938 (81.887)
Epoch: [78][9610/14090]	Time 0.744 (0.749)	Data 0.001 (0.001)	Loss 1.8597 (1.8088)	Prec@1 42.969 (52.555)	Prec@5 82.031 (81.887)
Epoch: [78][9620/14090]	Time 0.746 (0.749)	Data 0.002 (0.001)	Loss 1.8679 (1.8088)	Prec@1 57.812 (52.553)	Prec@5 80.469 (81.887)
Epoch: [78][9630/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 1.6911 (1.8088)	Prec@1 58.594 (52.556)	Prec@5 82.812 (81.888)
Epoch: [78][9640/14090]	Time 0.743 (0.749)	Data 0.001 (0.001)	Loss 1.8455 (1.8087)	Prec@1 55.469 (52.558)	Prec@5 81.250 (81.888)
Epoch: [78][9650/14090]	Time 0.742 (0.749)	Data 0.001 (0.001)	Loss 1.9864 (1.8087)	Prec@1 47.656 (52.560)	Prec@5 78.906 (81.887)
Epoch: [78][9660/14090]	Time 0.726 (0.749)	Data 0.001 (0.001)	Loss 2.0528 (1.8087)	Prec@1 42.969 (52.559)	Prec@5 78.125 (81.887)
Epoch: [78][9670/14090]	Time 0.739 (0.749)	Data 0.001 (0.001)	Loss 1.9589 (1.8087)	Prec@1 51.562 (52.560)	Prec@5 78.906 (81.888)
Epoch: [78][9680/14090]	Time 0.749 (0.749)	Data 0.001 (0.001)	Loss 1.9187 (1.8087)	Prec@1 51.562 (52.561)	Prec@5 78.906 (81.887)
Epoch: [78][9690/14090]	Time 0.725 (0.749)	Data 0.002 (0.001)	Loss 1.6977 (1.8087)	Prec@1 51.562 (52.559)	Prec@5 83.594 (81.887)
Epoch: [78][9700/14090]	Time 0.737 (0.749)	Data 0.001 (0.001)	Loss 2.0040 (1.8087)	Prec@1 52.344 (52.560)	Prec@5 74.219 (81.887)
Epoch: [78][9710/14090]	Time 0.739 (0.749)	Data 0.001 (0.001)	Loss 1.8402 (1.8087)	Prec@1 55.469 (52.561)	Prec@5 75.000 (81.886)
Epoch: [78][9720/14090]	Time 0.731 (0.749)	Data 0.001 (0.001)	Loss 1.9534 (1.8087)	Prec@1 51.562 (52.559)	Prec@5 79.688 (81.886)
Epoch: [78][9730/14090]	Time 0.746 (0.749)	Data 0.001 (0.001)	Loss 1.9628 (1.8087)	Prec@1 51.562 (52.558)	Prec@5 76.562 (81.886)
Epoch: [78][9740/14090]	Time 0.760 (0.749)	Data 0.001 (0.001)	Loss 1.9373 (1.8087)	Prec@1 48.438 (52.558)	Prec@5 80.469 (81.886)
Epoch: [78][9750/14090]	Time 0.754 (0.749)	Data 0.001 (0.001)	Loss 1.6182 (1.8087)	Prec@1 53.125 (52.559)	Prec@5 85.938 (81.887)
Epoch: [78][9760/14090]	Time 0.761 (0.749)	Data 0.002 (0.001)	Loss 1.9378 (1.8087)	Prec@1 51.562 (52.558)	Prec@5 78.906 (81.887)
Epoch: [78][9770/14090]	Time 0.729 (0.749)	Data 0.001 (0.001)	Loss 2.0707 (1.8088)	Prec@1 42.969 (52.556)	Prec@5 79.688 (81.885)
Epoch: [78][9780/14090]	Time 0.731 (0.749)	Data 0.001 (0.001)	Loss 1.8616 (1.8089)	Prec@1 50.000 (52.554)	Prec@5 79.688 (81.885)
Epoch: [78][9790/14090]	Time 0.732 (0.749)	Data 0.001 (0.001)	Loss 1.8619 (1.8089)	Prec@1 50.781 (52.554)	Prec@5 83.594 (81.886)
Epoch: [78][9800/14090]	Time 0.761 (0.749)	Data 0.001 (0.001)	Loss 1.9499 (1.8089)	Prec@1 49.219 (52.554)	Prec@5 74.219 (81.885)
Epoch: [78][9810/14090]	Time 0.734 (0.749)	Data 0.001 (0.001)	Loss 1.7737 (1.8089)	Prec@1 58.594 (52.555)	Prec@5 79.688 (81.884)
Epoch: [78][9820/14090]	Time 0.745 (0.749)	Data 0.001 (0.001)	Loss 1.9584 (1.8089)	Prec@1 50.000 (52.558)	Prec@5 81.250 (81.884)
Epoch: [78][9830/14090]	Time 0.760 (0.749)	Data 0.002 (0.001)	Loss 1.7628 (1.8089)	Prec@1 49.219 (52.558)	Prec@5 83.594 (81.884)
Epoch: [78][9840/14090]	Time 0.769 (0.749)	Data 0.001 (0.001)	Loss 2.1886 (1.8089)	Prec@1 46.875 (52.559)	Prec@5 75.781 (81.884)
Epoch: [78][9850/14090]	Time 0.724 (0.749)	Data 0.001 (0.001)	Loss 2.0328 (1.8089)	Prec@1 50.781 (52.557)	Prec@5 77.344 (81.883)
Epoch: [78][9860/14090]	Time 0.736 (0.749)	Data 0.001 (0.001)	Loss 1.6663 (1.8089)	Prec@1 59.375 (52.557)	Prec@5 86.719 (81.883)
Epoch: [78][9870/14090]	Time 0.730 (0.749)	Data 0.001 (0.001)	Loss 1.8348 (1.8089)	Prec@1 50.781 (52.559)	Prec@5 82.812 (81.884)
Epoch: [78][9880/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 2.0108 (1.8088)	Prec@1 47.656 (52.560)	Prec@5 75.781 (81.884)
Epoch: [78][9890/14090]	Time 0.768 (0.749)	Data 0.001 (0.001)	Loss 1.9113 (1.8088)	Prec@1 50.781 (52.561)	Prec@5 81.250 (81.883)
Epoch: [78][9900/14090]	Time 0.751 (0.749)	Data 0.002 (0.001)	Loss 1.5822 (1.8088)	Prec@1 57.812 (52.560)	Prec@5 89.062 (81.885)
Epoch: [78][9910/14090]	Time 0.759 (0.749)	Data 0.001 (0.001)	Loss 1.9177 (1.8087)	Prec@1 48.438 (52.561)	Prec@5 79.688 (81.886)
Epoch: [78][9920/14090]	Time 0.737 (0.749)	Data 0.001 (0.001)	Loss 1.8671 (1.8087)	Prec@1 54.688 (52.562)	Prec@5 83.594 (81.885)
Epoch: [78][9930/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 1.8875 (1.8087)	Prec@1 53.906 (52.563)	Prec@5 78.125 (81.886)
Epoch: [78][9940/14090]	Time 0.734 (0.749)	Data 0.001 (0.001)	Loss 1.8373 (1.8087)	Prec@1 57.812 (52.564)	Prec@5 78.125 (81.885)
Epoch: [78][9950/14090]	Time 0.748 (0.749)	Data 0.001 (0.001)	Loss 1.8844 (1.8088)	Prec@1 46.094 (52.561)	Prec@5 85.938 (81.885)
Epoch: [78][9960/14090]	Time 0.747 (0.749)	Data 0.001 (0.001)	Loss 1.5652 (1.8087)	Prec@1 57.031 (52.562)	Prec@5 85.156 (81.885)
Epoch: [78][9970/14090]	Time 0.746 (0.749)	Data 0.002 (0.001)	Loss 1.9392 (1.8088)	Prec@1 50.781 (52.562)	Prec@5 82.031 (81.885)
Epoch: [78][9980/14090]	Time 0.748 (0.749)	Data 0.001 (0.001)	Loss 2.0115 (1.8088)	Prec@1 51.562 (52.563)	Prec@5 76.562 (81.883)
Epoch: [78][9990/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 2.0825 (1.8089)	Prec@1 50.781 (52.560)	Prec@5 75.000 (81.882)
Epoch: [78][10000/14090]	Time 0.774 (0.749)	Data 0.001 (0.001)	Loss 1.8434 (1.8089)	Prec@1 50.781 (52.559)	Prec@5 83.594 (81.882)
Epoch: [78][10010/14090]	Time 0.745 (0.749)	Data 0.001 (0.001)	Loss 1.8999 (1.8089)	Prec@1 47.656 (52.559)	Prec@5 81.250 (81.882)
Epoch: [78][10020/14090]	Time 0.754 (0.749)	Data 0.001 (0.001)	Loss 1.8018 (1.8089)	Prec@1 55.469 (52.560)	Prec@5 81.250 (81.882)
Epoch: [78][10030/14090]	Time 0.735 (0.749)	Data 0.001 (0.001)	Loss 1.7419 (1.8088)	Prec@1 49.219 (52.562)	Prec@5 79.688 (81.884)
Epoch: [78][10040/14090]	Time 0.788 (0.749)	Data 0.002 (0.001)	Loss 1.7088 (1.8089)	Prec@1 54.688 (52.562)	Prec@5 84.375 (81.884)
Epoch: [78][10050/14090]	Time 0.760 (0.749)	Data 0.001 (0.001)	Loss 1.5495 (1.8088)	Prec@1 62.500 (52.564)	Prec@5 85.938 (81.886)
Epoch: [78][10060/14090]	Time 0.725 (0.749)	Data 0.001 (0.001)	Loss 1.8523 (1.8088)	Prec@1 49.219 (52.563)	Prec@5 81.250 (81.885)
Epoch: [78][10070/14090]	Time 0.754 (0.749)	Data 0.001 (0.001)	Loss 1.7744 (1.8088)	Prec@1 53.125 (52.561)	Prec@5 81.250 (81.886)
Epoch: [78][10080/14090]	Time 0.731 (0.749)	Data 0.001 (0.001)	Loss 1.6404 (1.8089)	Prec@1 56.250 (52.558)	Prec@5 83.594 (81.885)
Epoch: [78][10090/14090]	Time 0.764 (0.749)	Data 0.001 (0.001)	Loss 1.7977 (1.8089)	Prec@1 50.000 (52.558)	Prec@5 85.156 (81.886)
Epoch: [78][10100/14090]	Time 0.737 (0.749)	Data 0.001 (0.001)	Loss 1.6598 (1.8089)	Prec@1 60.156 (52.559)	Prec@5 83.594 (81.886)
Epoch: [78][10110/14090]	Time 0.744 (0.749)	Data 0.002 (0.001)	Loss 1.8084 (1.8089)	Prec@1 51.562 (52.559)	Prec@5 78.906 (81.886)
Epoch: [78][10120/14090]	Time 0.750 (0.749)	Data 0.001 (0.001)	Loss 1.7186 (1.8089)	Prec@1 58.594 (52.559)	Prec@5 83.594 (81.885)
Epoch: [78][10130/14090]	Time 0.733 (0.749)	Data 0.001 (0.001)	Loss 1.9738 (1.8089)	Prec@1 50.781 (52.559)	Prec@5 82.812 (81.885)
Epoch: [78][10140/14090]	Time 0.775 (0.749)	Data 0.001 (0.001)	Loss 1.8373 (1.8089)	Prec@1 49.219 (52.558)	Prec@5 80.469 (81.885)
Epoch: [78][10150/14090]	Time 0.782 (0.749)	Data 0.001 (0.001)	Loss 1.8091 (1.8089)	Prec@1 54.688 (52.559)	Prec@5 85.156 (81.886)
Epoch: [78][10160/14090]	Time 0.730 (0.749)	Data 0.001 (0.001)	Loss 1.9055 (1.8089)	Prec@1 52.344 (52.557)	Prec@5 82.031 (81.888)
Epoch: [78][10170/14090]	Time 0.732 (0.749)	Data 0.001 (0.001)	Loss 1.5785 (1.8089)	Prec@1 59.375 (52.557)	Prec@5 83.594 (81.888)
Epoch: [78][10180/14090]	Time 0.744 (0.749)	Data 0.002 (0.001)	Loss 1.8900 (1.8090)	Prec@1 52.344 (52.554)	Prec@5 79.688 (81.887)
Epoch: [78][10190/14090]	Time 0.744 (0.749)	Data 0.001 (0.001)	Loss 1.8621 (1.8090)	Prec@1 52.344 (52.555)	Prec@5 79.688 (81.887)
Epoch: [78][10200/14090]	Time 0.734 (0.749)	Data 0.001 (0.001)	Loss 1.9971 (1.8090)	Prec@1 42.188 (52.556)	Prec@5 82.812 (81.888)
Epoch: [78][10210/14090]	Time 0.763 (0.749)	Data 0.001 (0.001)	Loss 2.0269 (1.8091)	Prec@1 50.781 (52.555)	Prec@5 81.250 (81.886)
Epoch: [78][10220/14090]	Time 0.746 (0.749)	Data 0.001 (0.001)	Loss 1.8197 (1.8090)	Prec@1 55.469 (52.555)	Prec@5 78.906 (81.886)
Epoch: [78][10230/14090]	Time 0.746 (0.749)	Data 0.001 (0.001)	Loss 1.7815 (1.8090)	Prec@1 53.125 (52.556)	Prec@5 82.031 (81.887)
Epoch: [78][10240/14090]	Time 0.743 (0.749)	Data 0.001 (0.001)	Loss 1.8863 (1.8090)	Prec@1 53.906 (52.558)	Prec@5 78.125 (81.888)
Epoch: [78][10250/14090]	Time 0.721 (0.749)	Data 0.002 (0.001)	Loss 1.7794 (1.8090)	Prec@1 53.906 (52.558)	Prec@5 83.594 (81.888)
Epoch: [78][10260/14090]	Time 0.750 (0.749)	Data 0.001 (0.001)	Loss 1.7231 (1.8089)	Prec@1 47.656 (52.559)	Prec@5 88.281 (81.890)
Epoch: [78][10270/14090]	Time 0.765 (0.749)	Data 0.001 (0.001)	Loss 1.7508 (1.8089)	Prec@1 54.688 (52.558)	Prec@5 83.594 (81.890)
Epoch: [78][10280/14090]	Time 0.736 (0.749)	Data 0.001 (0.001)	Loss 1.5002 (1.8088)	Prec@1 60.938 (52.560)	Prec@5 84.375 (81.891)
Epoch: [78][10290/14090]	Time 0.747 (0.749)	Data 0.001 (0.001)	Loss 1.9766 (1.8087)	Prec@1 45.312 (52.562)	Prec@5 82.812 (81.892)
Epoch: [78][10300/14090]	Time 0.737 (0.749)	Data 0.001 (0.001)	Loss 1.8685 (1.8087)	Prec@1 51.562 (52.562)	Prec@5 81.250 (81.893)
Epoch: [78][10310/14090]	Time 0.754 (0.749)	Data 0.001 (0.001)	Loss 1.9769 (1.8087)	Prec@1 49.219 (52.562)	Prec@5 79.688 (81.893)
Epoch: [78][10320/14090]	Time 0.739 (0.749)	Data 0.002 (0.001)	Loss 1.5314 (1.8087)	Prec@1 61.719 (52.561)	Prec@5 85.156 (81.893)
Epoch: [78][10330/14090]	Time 0.756 (0.749)	Data 0.001 (0.001)	Loss 1.7379 (1.8088)	Prec@1 53.906 (52.560)	Prec@5 80.469 (81.891)
Epoch: [78][10340/14090]	Time 0.731 (0.749)	Data 0.001 (0.001)	Loss 1.7338 (1.8088)	Prec@1 52.344 (52.560)	Prec@5 82.031 (81.890)
Epoch: [78][10350/14090]	Time 0.742 (0.749)	Data 0.001 (0.001)	Loss 1.6802 (1.8088)	Prec@1 57.812 (52.560)	Prec@5 86.719 (81.891)
Epoch: [78][10360/14090]	Time 0.728 (0.749)	Data 0.001 (0.001)	Loss 1.9857 (1.8087)	Prec@1 50.000 (52.561)	Prec@5 78.125 (81.891)
Epoch: [78][10370/14090]	Time 0.743 (0.749)	Data 0.001 (0.001)	Loss 1.8452 (1.8088)	Prec@1 50.000 (52.559)	Prec@5 79.688 (81.890)
Epoch: [78][10380/14090]	Time 0.764 (0.749)	Data 0.001 (0.001)	Loss 1.8178 (1.8088)	Prec@1 50.000 (52.560)	Prec@5 82.031 (81.891)
Epoch: [78][10390/14090]	Time 0.735 (0.749)	Data 0.002 (0.001)	Loss 1.8186 (1.8088)	Prec@1 54.688 (52.560)	Prec@5 79.688 (81.890)
Epoch: [78][10400/14090]	Time 0.743 (0.749)	Data 0.001 (0.001)	Loss 1.8975 (1.8088)	Prec@1 50.000 (52.560)	Prec@5 78.125 (81.889)
Epoch: [78][10410/14090]	Time 0.753 (0.749)	Data 0.001 (0.001)	Loss 1.9409 (1.8088)	Prec@1 52.344 (52.558)	Prec@5 82.031 (81.889)
Epoch: [78][10420/14090]	Time 0.754 (0.749)	Data 0.001 (0.001)	Loss 1.8977 (1.8088)	Prec@1 52.344 (52.558)	Prec@5 82.812 (81.888)
Epoch: [78][10430/14090]	Time 0.769 (0.749)	Data 0.001 (0.001)	Loss 1.9793 (1.8088)	Prec@1 51.562 (52.560)	Prec@5 77.344 (81.889)
Epoch: [78][10440/14090]	Time 0.728 (0.749)	Data 0.001 (0.001)	Loss 1.7950 (1.8088)	Prec@1 54.688 (52.561)	Prec@5 82.812 (81.890)
Epoch: [78][10450/14090]	Time 0.761 (0.749)	Data 0.001 (0.001)	Loss 1.7431 (1.8088)	Prec@1 56.250 (52.561)	Prec@5 81.250 (81.889)
Epoch: [78][10460/14090]	Time 0.746 (0.749)	Data 0.002 (0.001)	Loss 1.9916 (1.8088)	Prec@1 46.875 (52.560)	Prec@5 80.469 (81.889)
Epoch: [78][10470/14090]	Time 0.725 (0.749)	Data 0.001 (0.001)	Loss 1.4940 (1.8088)	Prec@1 54.688 (52.559)	Prec@5 85.938 (81.888)
Epoch: [78][10480/14090]	Time 0.757 (0.749)	Data 0.001 (0.001)	Loss 2.0396 (1.8089)	Prec@1 49.219 (52.557)	Prec@5 81.250 (81.888)
Epoch: [78][10490/14090]	Time 0.768 (0.749)	Data 0.001 (0.001)	Loss 1.6876 (1.8088)	Prec@1 55.469 (52.557)	Prec@5 80.469 (81.888)
Epoch: [78][10500/14090]	Time 0.727 (0.749)	Data 0.001 (0.001)	Loss 1.5393 (1.8089)	Prec@1 60.156 (52.556)	Prec@5 83.594 (81.888)
Epoch: [78][10510/14090]	Time 0.772 (0.749)	Data 0.001 (0.001)	Loss 2.0226 (1.8089)	Prec@1 47.656 (52.556)	Prec@5 78.125 (81.886)
Epoch: [78][10520/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 1.8832 (1.8089)	Prec@1 53.125 (52.556)	Prec@5 82.812 (81.887)
Epoch: [78][10530/14090]	Time 0.780 (0.749)	Data 0.002 (0.001)	Loss 1.6303 (1.8089)	Prec@1 55.469 (52.557)	Prec@5 85.156 (81.886)
Epoch: [78][10540/14090]	Time 0.761 (0.749)	Data 0.001 (0.001)	Loss 1.8609 (1.8090)	Prec@1 53.125 (52.556)	Prec@5 81.250 (81.886)
Epoch: [78][10550/14090]	Time 0.768 (0.749)	Data 0.001 (0.001)	Loss 1.5699 (1.8090)	Prec@1 58.594 (52.555)	Prec@5 83.594 (81.886)
Epoch: [78][10560/14090]	Time 0.724 (0.749)	Data 0.001 (0.001)	Loss 1.8594 (1.8089)	Prec@1 59.375 (52.555)	Prec@5 79.688 (81.886)
Epoch: [78][10570/14090]	Time 0.778 (0.749)	Data 0.001 (0.001)	Loss 1.8872 (1.8090)	Prec@1 49.219 (52.553)	Prec@5 78.906 (81.886)
Epoch: [78][10580/14090]	Time 0.753 (0.749)	Data 0.001 (0.001)	Loss 1.7755 (1.8090)	Prec@1 52.344 (52.554)	Prec@5 84.375 (81.887)
Epoch: [78][10590/14090]	Time 0.735 (0.749)	Data 0.001 (0.001)	Loss 1.7468 (1.8089)	Prec@1 53.125 (52.557)	Prec@5 83.594 (81.888)
Epoch: [78][10600/14090]	Time 0.754 (0.749)	Data 0.002 (0.001)	Loss 1.6101 (1.8089)	Prec@1 55.469 (52.557)	Prec@5 85.938 (81.888)
Epoch: [78][10610/14090]	Time 0.736 (0.749)	Data 0.001 (0.001)	Loss 1.8425 (1.8088)	Prec@1 49.219 (52.558)	Prec@5 80.469 (81.890)
Epoch: [78][10620/14090]	Time 0.782 (0.749)	Data 0.001 (0.001)	Loss 1.8490 (1.8088)	Prec@1 50.781 (52.557)	Prec@5 82.812 (81.890)
Epoch: [78][10630/14090]	Time 0.736 (0.749)	Data 0.001 (0.001)	Loss 1.8102 (1.8088)	Prec@1 52.344 (52.559)	Prec@5 82.031 (81.890)
Epoch: [78][10640/14090]	Time 0.731 (0.749)	Data 0.001 (0.001)	Loss 1.9423 (1.8089)	Prec@1 42.188 (52.556)	Prec@5 78.906 (81.888)
Epoch: [78][10650/14090]	Time 0.741 (0.749)	Data 0.001 (0.001)	Loss 1.8042 (1.8089)	Prec@1 53.125 (52.555)	Prec@5 78.906 (81.887)
Epoch: [78][10660/14090]	Time 0.752 (0.749)	Data 0.001 (0.001)	Loss 2.0438 (1.8089)	Prec@1 49.219 (52.556)	Prec@5 77.344 (81.888)
Epoch: [78][10670/14090]	Time 0.730 (0.749)	Data 0.002 (0.001)	Loss 2.0012 (1.8090)	Prec@1 43.750 (52.553)	Prec@5 80.469 (81.886)
Epoch: [78][10680/14090]	Time 0.734 (0.749)	Data 0.001 (0.001)	Loss 1.8326 (1.8089)	Prec@1 52.344 (52.554)	Prec@5 80.469 (81.887)
Epoch: [78][10690/14090]	Time 0.721 (0.749)	Data 0.001 (0.001)	Loss 1.7673 (1.8089)	Prec@1 53.906 (52.555)	Prec@5 84.375 (81.889)
Epoch: [78][10700/14090]	Time 0.748 (0.749)	Data 0.001 (0.001)	Loss 1.9909 (1.8089)	Prec@1 44.531 (52.554)	Prec@5 78.906 (81.889)
Epoch: [78][10710/14090]	Time 0.757 (0.749)	Data 0.001 (0.001)	Loss 1.8418 (1.8088)	Prec@1 52.344 (52.555)	Prec@5 83.594 (81.889)
Epoch: [78][10720/14090]	Time 0.754 (0.749)	Data 0.001 (0.001)	Loss 1.9904 (1.8089)	Prec@1 46.875 (52.555)	Prec@5 78.125 (81.889)
Epoch: [78][10730/14090]	Time 0.739 (0.749)	Data 0.001 (0.001)	Loss 1.9956 (1.8090)	Prec@1 53.125 (52.553)	Prec@5 75.000 (81.887)
Epoch: [78][10740/14090]	Time 0.767 (0.749)	Data 0.002 (0.001)	Loss 1.8441 (1.8090)	Prec@1 52.344 (52.553)	Prec@5 80.469 (81.887)
Epoch: [78][10750/14090]	Time 0.745 (0.749)	Data 0.001 (0.001)	Loss 2.2224 (1.8090)	Prec@1 49.219 (52.552)	Prec@5 74.219 (81.886)
Epoch: [78][10760/14090]	Time 0.763 (0.749)	Data 0.001 (0.001)	Loss 1.8451 (1.8090)	Prec@1 52.344 (52.553)	Prec@5 81.250 (81.886)
Epoch: [78][10770/14090]	Time 0.763 (0.749)	Data 0.001 (0.001)	Loss 1.8863 (1.8090)	Prec@1 53.906 (52.552)	Prec@5 75.000 (81.885)
Epoch: [78][10780/14090]	Time 0.731 (0.749)	Data 0.001 (0.001)	Loss 1.4593 (1.8090)	Prec@1 65.625 (52.556)	Prec@5 89.062 (81.887)
Epoch: [78][10790/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 1.8512 (1.8091)	Prec@1 58.594 (52.554)	Prec@5 81.250 (81.886)
Epoch: [78][10800/14090]	Time 0.735 (0.749)	Data 0.001 (0.001)	Loss 1.7235 (1.8091)	Prec@1 57.031 (52.553)	Prec@5 82.812 (81.886)
Epoch: [78][10810/14090]	Time 0.742 (0.749)	Data 0.002 (0.001)	Loss 2.0289 (1.8091)	Prec@1 50.781 (52.553)	Prec@5 74.219 (81.886)
Epoch: [78][10820/14090]	Time 0.740 (0.749)	Data 0.001 (0.001)	Loss 1.8454 (1.8091)	Prec@1 50.781 (52.553)	Prec@5 83.594 (81.886)
Epoch: [78][10830/14090]	Time 0.781 (0.749)	Data 0.001 (0.001)	Loss 1.6601 (1.8091)	Prec@1 53.906 (52.553)	Prec@5 85.156 (81.886)
Epoch: [78][10840/14090]	Time 0.733 (0.749)	Data 0.001 (0.001)	Loss 2.0983 (1.8091)	Prec@1 46.875 (52.552)	Prec@5 76.562 (81.885)
Epoch: [78][10850/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 1.8313 (1.8090)	Prec@1 57.812 (52.554)	Prec@5 81.250 (81.885)
Epoch: [78][10860/14090]	Time 0.746 (0.749)	Data 0.001 (0.001)	Loss 1.6139 (1.8090)	Prec@1 57.031 (52.554)	Prec@5 83.594 (81.886)
Epoch: [78][10870/14090]	Time 0.725 (0.749)	Data 0.001 (0.001)	Loss 1.7899 (1.8090)	Prec@1 54.688 (52.556)	Prec@5 81.250 (81.884)
Epoch: [78][10880/14090]	Time 0.751 (0.749)	Data 0.002 (0.001)	Loss 1.8316 (1.8089)	Prec@1 49.219 (52.555)	Prec@5 79.688 (81.885)
Epoch: [78][10890/14090]	Time 0.730 (0.749)	Data 0.001 (0.001)	Loss 1.7521 (1.8089)	Prec@1 52.344 (52.557)	Prec@5 82.812 (81.885)
Epoch: [78][10900/14090]	Time 0.778 (0.749)	Data 0.001 (0.001)	Loss 1.7916 (1.8089)	Prec@1 53.125 (52.557)	Prec@5 82.812 (81.884)
Epoch: [78][10910/14090]	Time 0.731 (0.749)	Data 0.001 (0.001)	Loss 1.9322 (1.8088)	Prec@1 51.562 (52.558)	Prec@5 78.125 (81.885)
Epoch: [78][10920/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 2.0667 (1.8088)	Prec@1 48.438 (52.556)	Prec@5 78.906 (81.884)
Epoch: [78][10930/14090]	Time 0.752 (0.749)	Data 0.001 (0.001)	Loss 1.7912 (1.8089)	Prec@1 51.562 (52.556)	Prec@5 82.031 (81.883)
Epoch: [78][10940/14090]	Time 0.757 (0.749)	Data 0.001 (0.001)	Loss 2.0126 (1.8089)	Prec@1 50.781 (52.556)	Prec@5 73.438 (81.882)
Epoch: [78][10950/14090]	Time 0.734 (0.749)	Data 0.002 (0.001)	Loss 2.1545 (1.8089)	Prec@1 46.875 (52.556)	Prec@5 78.906 (81.882)
Epoch: [78][10960/14090]	Time 0.734 (0.749)	Data 0.001 (0.001)	Loss 1.6711 (1.8090)	Prec@1 56.250 (52.554)	Prec@5 82.031 (81.881)
Epoch: [78][10970/14090]	Time 0.723 (0.749)	Data 0.001 (0.001)	Loss 1.7425 (1.8089)	Prec@1 53.906 (52.555)	Prec@5 78.906 (81.880)
Epoch: [78][10980/14090]	Time 0.749 (0.749)	Data 0.001 (0.001)	Loss 1.8051 (1.8090)	Prec@1 52.344 (52.555)	Prec@5 82.812 (81.880)
Epoch: [78][10990/14090]	Time 0.728 (0.749)	Data 0.001 (0.001)	Loss 1.6986 (1.8090)	Prec@1 47.656 (52.555)	Prec@5 88.281 (81.880)
Epoch: [78][11000/14090]	Time 0.750 (0.749)	Data 0.001 (0.001)	Loss 1.6360 (1.8090)	Prec@1 52.344 (52.557)	Prec@5 85.938 (81.880)
Epoch: [78][11010/14090]	Time 0.730 (0.749)	Data 0.001 (0.001)	Loss 1.6659 (1.8090)	Prec@1 56.250 (52.556)	Prec@5 85.156 (81.879)
Epoch: [78][11020/14090]	Time 0.743 (0.749)	Data 0.002 (0.001)	Loss 1.7549 (1.8090)	Prec@1 60.938 (52.557)	Prec@5 84.375 (81.879)
Epoch: [78][11030/14090]	Time 0.736 (0.749)	Data 0.001 (0.001)	Loss 1.9881 (1.8090)	Prec@1 50.000 (52.557)	Prec@5 81.250 (81.880)
Epoch: [78][11040/14090]	Time 0.767 (0.749)	Data 0.001 (0.001)	Loss 1.8804 (1.8090)	Prec@1 49.219 (52.556)	Prec@5 79.688 (81.880)
Epoch: [78][11050/14090]	Time 0.767 (0.749)	Data 0.001 (0.001)	Loss 1.8199 (1.8090)	Prec@1 49.219 (52.556)	Prec@5 83.594 (81.881)
Epoch: [78][11060/14090]	Time 0.764 (0.749)	Data 0.001 (0.001)	Loss 1.9789 (1.8090)	Prec@1 49.219 (52.556)	Prec@5 80.469 (81.881)
Epoch: [78][11070/14090]	Time 0.772 (0.749)	Data 0.001 (0.001)	Loss 1.6940 (1.8090)	Prec@1 55.469 (52.555)	Prec@5 85.156 (81.881)
Epoch: [78][11080/14090]	Time 0.733 (0.749)	Data 0.001 (0.001)	Loss 1.9555 (1.8091)	Prec@1 50.781 (52.553)	Prec@5 79.688 (81.881)
Epoch: [78][11090/14090]	Time 0.748 (0.749)	Data 0.002 (0.001)	Loss 1.7713 (1.8091)	Prec@1 52.344 (52.550)	Prec@5 85.938 (81.880)
Epoch: [78][11100/14090]	Time 0.764 (0.749)	Data 0.001 (0.001)	Loss 1.8131 (1.8092)	Prec@1 50.000 (52.550)	Prec@5 83.594 (81.879)
Epoch: [78][11110/14090]	Time 0.752 (0.749)	Data 0.001 (0.001)	Loss 1.8707 (1.8091)	Prec@1 49.219 (52.551)	Prec@5 80.469 (81.880)
Epoch: [78][11120/14090]	Time 0.756 (0.749)	Data 0.001 (0.001)	Loss 1.6550 (1.8092)	Prec@1 57.031 (52.550)	Prec@5 82.031 (81.878)
Epoch: [78][11130/14090]	Time 0.764 (0.749)	Data 0.001 (0.001)	Loss 1.9279 (1.8092)	Prec@1 52.344 (52.550)	Prec@5 77.344 (81.877)
Epoch: [78][11140/14090]	Time 0.768 (0.749)	Data 0.001 (0.001)	Loss 1.9089 (1.8092)	Prec@1 48.438 (52.548)	Prec@5 82.031 (81.877)
Epoch: [78][11150/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 1.7312 (1.8092)	Prec@1 54.688 (52.548)	Prec@5 81.250 (81.877)
Epoch: [78][11160/14090]	Time 0.731 (0.749)	Data 0.002 (0.001)	Loss 1.7375 (1.8093)	Prec@1 50.000 (52.547)	Prec@5 78.906 (81.876)
Epoch: [78][11170/14090]	Time 0.744 (0.749)	Data 0.001 (0.001)	Loss 1.7260 (1.8092)	Prec@1 57.031 (52.549)	Prec@5 79.688 (81.876)
Epoch: [78][11180/14090]	Time 0.755 (0.749)	Data 0.001 (0.001)	Loss 1.9243 (1.8092)	Prec@1 49.219 (52.550)	Prec@5 78.906 (81.875)
Epoch: [78][11190/14090]	Time 0.776 (0.749)	Data 0.001 (0.001)	Loss 2.1487 (1.8093)	Prec@1 43.750 (52.550)	Prec@5 74.219 (81.875)
Epoch: [78][11200/14090]	Time 0.755 (0.749)	Data 0.001 (0.001)	Loss 1.6501 (1.8093)	Prec@1 56.250 (52.549)	Prec@5 81.250 (81.874)
Epoch: [78][11210/14090]	Time 0.733 (0.749)	Data 0.001 (0.001)	Loss 2.0624 (1.8093)	Prec@1 50.000 (52.548)	Prec@5 81.250 (81.875)
Epoch: [78][11220/14090]	Time 0.784 (0.749)	Data 0.001 (0.001)	Loss 1.7700 (1.8093)	Prec@1 49.219 (52.546)	Prec@5 84.375 (81.876)
Epoch: [78][11230/14090]	Time 0.742 (0.749)	Data 0.002 (0.001)	Loss 1.7233 (1.8092)	Prec@1 53.125 (52.547)	Prec@5 80.469 (81.876)
Epoch: [78][11240/14090]	Time 0.746 (0.749)	Data 0.001 (0.001)	Loss 1.7531 (1.8092)	Prec@1 53.125 (52.547)	Prec@5 84.375 (81.877)
Epoch: [78][11250/14090]	Time 0.755 (0.749)	Data 0.001 (0.001)	Loss 1.9891 (1.8092)	Prec@1 46.094 (52.547)	Prec@5 79.688 (81.876)
Epoch: [78][11260/14090]	Time 0.727 (0.749)	Data 0.001 (0.001)	Loss 1.9150 (1.8092)	Prec@1 47.656 (52.545)	Prec@5 81.250 (81.876)
Epoch: [78][11270/14090]	Time 0.774 (0.749)	Data 0.001 (0.001)	Loss 1.8282 (1.8092)	Prec@1 50.000 (52.545)	Prec@5 82.812 (81.876)
Epoch: [78][11280/14090]	Time 0.759 (0.749)	Data 0.001 (0.001)	Loss 1.7952 (1.8093)	Prec@1 54.688 (52.544)	Prec@5 82.812 (81.875)
Epoch: [78][11290/14090]	Time 0.724 (0.749)	Data 0.001 (0.001)	Loss 1.6624 (1.8092)	Prec@1 55.469 (52.546)	Prec@5 82.812 (81.876)
Epoch: [78][11300/14090]	Time 0.738 (0.749)	Data 0.002 (0.001)	Loss 1.8617 (1.8093)	Prec@1 48.438 (52.544)	Prec@5 82.812 (81.875)
Epoch: [78][11310/14090]	Time 0.747 (0.749)	Data 0.001 (0.001)	Loss 2.1069 (1.8093)	Prec@1 47.656 (52.543)	Prec@5 75.000 (81.874)
Epoch: [78][11320/14090]	Time 0.761 (0.749)	Data 0.001 (0.001)	Loss 1.7588 (1.8093)	Prec@1 50.781 (52.544)	Prec@5 82.031 (81.874)
Epoch: [78][11330/14090]	Time 0.732 (0.749)	Data 0.001 (0.001)	Loss 1.9575 (1.8092)	Prec@1 53.125 (52.545)	Prec@5 79.688 (81.874)
Epoch: [78][11340/14090]	Time 0.753 (0.749)	Data 0.001 (0.001)	Loss 2.0918 (1.8092)	Prec@1 46.875 (52.545)	Prec@5 72.656 (81.873)
Epoch: [78][11350/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 1.9678 (1.8091)	Prec@1 49.219 (52.547)	Prec@5 85.156 (81.875)
Epoch: [78][11360/14090]	Time 0.736 (0.749)	Data 0.001 (0.001)	Loss 1.8089 (1.8092)	Prec@1 50.781 (52.546)	Prec@5 84.375 (81.874)
Epoch: [78][11370/14090]	Time 0.743 (0.749)	Data 0.002 (0.001)	Loss 1.5844 (1.8092)	Prec@1 55.469 (52.545)	Prec@5 82.812 (81.873)
Epoch: [78][11380/14090]	Time 0.768 (0.749)	Data 0.001 (0.001)	Loss 1.6859 (1.8092)	Prec@1 53.906 (52.544)	Prec@5 83.594 (81.874)
Epoch: [78][11390/14090]	Time 0.732 (0.749)	Data 0.001 (0.001)	Loss 1.7218 (1.8092)	Prec@1 50.000 (52.543)	Prec@5 85.156 (81.874)
Epoch: [78][11400/14090]	Time 0.755 (0.749)	Data 0.001 (0.001)	Loss 1.7290 (1.8093)	Prec@1 56.250 (52.541)	Prec@5 82.812 (81.872)
Epoch: [78][11410/14090]	Time 0.735 (0.749)	Data 0.001 (0.001)	Loss 1.8005 (1.8093)	Prec@1 50.000 (52.540)	Prec@5 83.594 (81.873)
Epoch: [78][11420/14090]	Time 0.750 (0.749)	Data 0.001 (0.001)	Loss 1.7688 (1.8093)	Prec@1 53.125 (52.541)	Prec@5 82.031 (81.873)
Epoch: [78][11430/14090]	Time 0.742 (0.749)	Data 0.001 (0.001)	Loss 2.0076 (1.8093)	Prec@1 47.656 (52.541)	Prec@5 78.125 (81.872)
Epoch: [78][11440/14090]	Time 0.732 (0.749)	Data 0.002 (0.001)	Loss 1.8297 (1.8094)	Prec@1 57.812 (52.541)	Prec@5 81.250 (81.872)
Epoch: [78][11450/14090]	Time 0.780 (0.749)	Data 0.001 (0.001)	Loss 1.9898 (1.8094)	Prec@1 46.875 (52.539)	Prec@5 79.688 (81.871)
Epoch: [78][11460/14090]	Time 0.742 (0.749)	Data 0.001 (0.001)	Loss 1.6974 (1.8094)	Prec@1 51.562 (52.537)	Prec@5 82.812 (81.872)
Epoch: [78][11470/14090]	Time 0.767 (0.749)	Data 0.001 (0.001)	Loss 1.8674 (1.8094)	Prec@1 51.562 (52.535)	Prec@5 83.594 (81.872)
Epoch: [78][11480/14090]	Time 0.728 (0.749)	Data 0.001 (0.001)	Loss 1.7850 (1.8094)	Prec@1 49.219 (52.537)	Prec@5 89.062 (81.873)
Epoch: [78][11490/14090]	Time 0.741 (0.749)	Data 0.001 (0.001)	Loss 1.6862 (1.8094)	Prec@1 60.156 (52.537)	Prec@5 82.031 (81.873)
Epoch: [78][11500/14090]	Time 0.767 (0.749)	Data 0.001 (0.001)	Loss 1.7176 (1.8094)	Prec@1 57.031 (52.539)	Prec@5 85.938 (81.874)
Epoch: [78][11510/14090]	Time 0.754 (0.749)	Data 0.002 (0.001)	Loss 2.0148 (1.8094)	Prec@1 50.781 (52.539)	Prec@5 79.688 (81.874)
Epoch: [78][11520/14090]	Time 0.754 (0.749)	Data 0.001 (0.001)	Loss 1.8226 (1.8094)	Prec@1 51.562 (52.538)	Prec@5 81.250 (81.873)
Epoch: [78][11530/14090]	Time 0.736 (0.749)	Data 0.001 (0.001)	Loss 1.8010 (1.8094)	Prec@1 50.781 (52.537)	Prec@5 85.938 (81.873)
Epoch: [78][11540/14090]	Time 0.725 (0.749)	Data 0.001 (0.001)	Loss 2.0144 (1.8094)	Prec@1 51.562 (52.537)	Prec@5 77.344 (81.873)
Epoch: [78][11550/14090]	Time 0.744 (0.749)	Data 0.001 (0.001)	Loss 1.9732 (1.8094)	Prec@1 47.656 (52.536)	Prec@5 78.125 (81.875)
Epoch: [78][11560/14090]	Time 0.773 (0.749)	Data 0.001 (0.001)	Loss 1.8943 (1.8095)	Prec@1 50.781 (52.533)	Prec@5 83.594 (81.874)
Epoch: [78][11570/14090]	Time 0.741 (0.749)	Data 0.001 (0.001)	Loss 2.0219 (1.8095)	Prec@1 50.000 (52.533)	Prec@5 78.125 (81.874)
Epoch: [78][11580/14090]	Time 0.741 (0.749)	Data 0.002 (0.001)	Loss 1.8535 (1.8094)	Prec@1 54.688 (52.534)	Prec@5 78.906 (81.875)
Epoch: [78][11590/14090]	Time 0.759 (0.749)	Data 0.001 (0.001)	Loss 1.7261 (1.8094)	Prec@1 50.000 (52.534)	Prec@5 82.812 (81.877)
Epoch: [78][11600/14090]	Time 0.755 (0.749)	Data 0.001 (0.001)	Loss 1.8734 (1.8095)	Prec@1 46.875 (52.532)	Prec@5 79.688 (81.874)
Epoch: [78][11610/14090]	Time 0.780 (0.749)	Data 0.001 (0.001)	Loss 1.9836 (1.8095)	Prec@1 50.781 (52.531)	Prec@5 82.031 (81.873)
Epoch: [78][11620/14090]	Time 0.744 (0.749)	Data 0.001 (0.001)	Loss 1.9478 (1.8095)	Prec@1 48.438 (52.532)	Prec@5 83.594 (81.874)
Epoch: [78][11630/14090]	Time 0.781 (0.749)	Data 0.001 (0.001)	Loss 1.9849 (1.8095)	Prec@1 42.188 (52.530)	Prec@5 81.250 (81.875)
Epoch: [78][11640/14090]	Time 0.771 (0.749)	Data 0.001 (0.001)	Loss 1.7466 (1.8095)	Prec@1 52.344 (52.530)	Prec@5 82.031 (81.877)
Epoch: [78][11650/14090]	Time 0.746 (0.749)	Data 0.002 (0.001)	Loss 1.6838 (1.8095)	Prec@1 56.250 (52.528)	Prec@5 84.375 (81.877)
Epoch: [78][11660/14090]	Time 0.784 (0.749)	Data 0.001 (0.001)	Loss 2.0245 (1.8096)	Prec@1 50.000 (52.527)	Prec@5 80.469 (81.876)
Epoch: [78][11670/14090]	Time 0.764 (0.749)	Data 0.001 (0.001)	Loss 2.0584 (1.8097)	Prec@1 46.094 (52.526)	Prec@5 77.344 (81.875)
Epoch: [78][11680/14090]	Time 0.758 (0.749)	Data 0.001 (0.001)	Loss 1.8346 (1.8097)	Prec@1 52.344 (52.527)	Prec@5 82.031 (81.876)
Epoch: [78][11690/14090]	Time 0.727 (0.749)	Data 0.001 (0.001)	Loss 1.7570 (1.8097)	Prec@1 55.469 (52.527)	Prec@5 83.594 (81.875)
Epoch: [78][11700/14090]	Time 0.760 (0.749)	Data 0.001 (0.001)	Loss 1.7187 (1.8097)	Prec@1 53.906 (52.527)	Prec@5 81.250 (81.874)
Epoch: [78][11710/14090]	Time 0.750 (0.749)	Data 0.001 (0.001)	Loss 1.9039 (1.8097)	Prec@1 51.562 (52.526)	Prec@5 82.812 (81.874)
Epoch: [78][11720/14090]	Time 0.731 (0.749)	Data 0.002 (0.001)	Loss 1.8853 (1.8097)	Prec@1 50.000 (52.526)	Prec@5 82.031 (81.875)
Epoch: [78][11730/14090]	Time 0.750 (0.749)	Data 0.001 (0.001)	Loss 1.5696 (1.8097)	Prec@1 60.156 (52.526)	Prec@5 86.719 (81.875)
Epoch: [78][11740/14090]	Time 0.755 (0.749)	Data 0.001 (0.001)	Loss 1.8264 (1.8097)	Prec@1 46.875 (52.526)	Prec@5 83.594 (81.874)
Epoch: [78][11750/14090]	Time 0.779 (0.749)	Data 0.001 (0.001)	Loss 1.7406 (1.8097)	Prec@1 54.688 (52.525)	Prec@5 84.375 (81.873)
Epoch: [78][11760/14090]	Time 0.773 (0.749)	Data 0.001 (0.001)	Loss 1.9787 (1.8097)	Prec@1 44.531 (52.525)	Prec@5 78.906 (81.874)
Epoch: [78][11770/14090]	Time 0.737 (0.749)	Data 0.001 (0.001)	Loss 1.9518 (1.8097)	Prec@1 48.438 (52.525)	Prec@5 82.031 (81.874)
Epoch: [78][11780/14090]	Time 0.768 (0.749)	Data 0.001 (0.001)	Loss 1.7939 (1.8097)	Prec@1 49.219 (52.526)	Prec@5 83.594 (81.874)
Epoch: [78][11790/14090]	Time 0.730 (0.749)	Data 0.002 (0.001)	Loss 1.8256 (1.8097)	Prec@1 50.000 (52.527)	Prec@5 78.906 (81.874)
Epoch: [78][11800/14090]	Time 0.780 (0.749)	Data 0.001 (0.001)	Loss 1.8442 (1.8096)	Prec@1 53.906 (52.528)	Prec@5 79.688 (81.875)
Epoch: [78][11810/14090]	Time 0.752 (0.749)	Data 0.001 (0.001)	Loss 1.9048 (1.8096)	Prec@1 47.656 (52.526)	Prec@5 80.469 (81.876)
Epoch: [78][11820/14090]	Time 0.731 (0.749)	Data 0.001 (0.001)	Loss 2.0663 (1.8097)	Prec@1 51.562 (52.526)	Prec@5 76.562 (81.875)
Epoch: [78][11830/14090]	Time 0.750 (0.749)	Data 0.001 (0.001)	Loss 1.7319 (1.8096)	Prec@1 53.906 (52.527)	Prec@5 85.156 (81.877)
Epoch: [78][11840/14090]	Time 0.753 (0.749)	Data 0.001 (0.001)	Loss 1.7619 (1.8096)	Prec@1 52.344 (52.525)	Prec@5 85.938 (81.877)
Epoch: [78][11850/14090]	Time 0.761 (0.749)	Data 0.001 (0.001)	Loss 1.7099 (1.8096)	Prec@1 56.250 (52.526)	Prec@5 85.938 (81.877)
Epoch: [78][11860/14090]	Time 0.742 (0.749)	Data 0.002 (0.001)	Loss 2.0730 (1.8097)	Prec@1 46.875 (52.526)	Prec@5 78.906 (81.877)
Epoch: [78][11870/14090]	Time 0.740 (0.749)	Data 0.001 (0.001)	Loss 1.9562 (1.8097)	Prec@1 47.656 (52.525)	Prec@5 81.250 (81.875)
Epoch: [78][11880/14090]	Time 0.754 (0.749)	Data 0.001 (0.001)	Loss 1.4788 (1.8097)	Prec@1 57.031 (52.525)	Prec@5 85.938 (81.875)
Epoch: [78][11890/14090]	Time 0.724 (0.749)	Data 0.001 (0.001)	Loss 1.8536 (1.8097)	Prec@1 48.438 (52.525)	Prec@5 80.469 (81.876)
Epoch: [78][11900/14090]	Time 0.739 (0.749)	Data 0.001 (0.001)	Loss 1.8428 (1.8097)	Prec@1 51.562 (52.525)	Prec@5 80.469 (81.875)
Epoch: [78][11910/14090]	Time 0.769 (0.749)	Data 0.001 (0.001)	Loss 1.8142 (1.8098)	Prec@1 53.125 (52.523)	Prec@5 81.250 (81.875)
Epoch: [78][11920/14090]	Time 0.726 (0.749)	Data 0.001 (0.001)	Loss 1.7535 (1.8098)	Prec@1 55.469 (52.523)	Prec@5 83.594 (81.875)
Epoch: [78][11930/14090]	Time 0.737 (0.749)	Data 0.002 (0.001)	Loss 1.8669 (1.8099)	Prec@1 49.219 (52.521)	Prec@5 82.812 (81.873)
Epoch: [78][11940/14090]	Time 0.742 (0.749)	Data 0.001 (0.001)	Loss 1.8918 (1.8099)	Prec@1 51.562 (52.522)	Prec@5 79.688 (81.873)
Epoch: [78][11950/14090]	Time 0.754 (0.749)	Data 0.001 (0.001)	Loss 1.9021 (1.8098)	Prec@1 50.000 (52.524)	Prec@5 79.688 (81.873)
Epoch: [78][11960/14090]	Time 0.752 (0.749)	Data 0.001 (0.001)	Loss 2.1351 (1.8098)	Prec@1 46.094 (52.525)	Prec@5 76.562 (81.874)
Epoch: [78][11970/14090]	Time 0.789 (0.749)	Data 0.001 (0.001)	Loss 2.0765 (1.8099)	Prec@1 46.094 (52.522)	Prec@5 78.125 (81.873)
Epoch: [78][11980/14090]	Time 0.781 (0.749)	Data 0.001 (0.001)	Loss 2.0426 (1.8099)	Prec@1 49.219 (52.522)	Prec@5 79.688 (81.873)
Epoch: [78][11990/14090]	Time 0.759 (0.749)	Data 0.001 (0.001)	Loss 1.9812 (1.8099)	Prec@1 48.438 (52.522)	Prec@5 79.688 (81.874)
Epoch: [78][12000/14090]	Time 0.750 (0.749)	Data 0.002 (0.001)	Loss 2.0437 (1.8100)	Prec@1 47.656 (52.520)	Prec@5 76.562 (81.873)
Epoch: [78][12010/14090]	Time 0.741 (0.749)	Data 0.001 (0.001)	Loss 1.6432 (1.8099)	Prec@1 56.250 (52.521)	Prec@5 84.375 (81.873)
Epoch: [78][12020/14090]	Time 0.761 (0.749)	Data 0.001 (0.001)	Loss 1.6403 (1.8099)	Prec@1 53.906 (52.522)	Prec@5 83.594 (81.874)
Epoch: [78][12030/14090]	Time 0.728 (0.749)	Data 0.001 (0.001)	Loss 2.2014 (1.8099)	Prec@1 42.188 (52.523)	Prec@5 76.562 (81.873)
Epoch: [78][12040/14090]	Time 0.745 (0.749)	Data 0.001 (0.001)	Loss 1.7330 (1.8099)	Prec@1 52.344 (52.523)	Prec@5 82.031 (81.871)
Epoch: [78][12050/14090]	Time 0.746 (0.749)	Data 0.001 (0.001)	Loss 1.8897 (1.8100)	Prec@1 47.656 (52.522)	Prec@5 82.031 (81.870)
Epoch: [78][12060/14090]	Time 0.746 (0.749)	Data 0.001 (0.001)	Loss 1.8622 (1.8100)	Prec@1 46.094 (52.521)	Prec@5 84.375 (81.870)
Epoch: [78][12070/14090]	Time 0.743 (0.749)	Data 0.002 (0.001)	Loss 1.4375 (1.8100)	Prec@1 57.031 (52.521)	Prec@5 88.281 (81.869)
Epoch: [78][12080/14090]	Time 0.753 (0.749)	Data 0.001 (0.001)	Loss 1.6830 (1.8100)	Prec@1 55.469 (52.520)	Prec@5 82.031 (81.869)
Epoch: [78][12090/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 1.9198 (1.8100)	Prec@1 50.781 (52.522)	Prec@5 80.469 (81.869)
Epoch: [78][12100/14090]	Time 0.780 (0.749)	Data 0.001 (0.001)	Loss 2.0726 (1.8100)	Prec@1 46.875 (52.521)	Prec@5 76.562 (81.869)
Epoch: [78][12110/14090]	Time 0.757 (0.749)	Data 0.001 (0.001)	Loss 1.7124 (1.8100)	Prec@1 54.688 (52.521)	Prec@5 82.031 (81.868)
Epoch: [78][12120/14090]	Time 0.745 (0.749)	Data 0.001 (0.001)	Loss 1.8951 (1.8101)	Prec@1 52.344 (52.519)	Prec@5 82.812 (81.867)
Epoch: [78][12130/14090]	Time 0.734 (0.749)	Data 0.001 (0.001)	Loss 1.6971 (1.8101)	Prec@1 52.344 (52.519)	Prec@5 85.938 (81.867)
Epoch: [78][12140/14090]	Time 0.728 (0.749)	Data 0.002 (0.001)	Loss 1.5351 (1.8100)	Prec@1 60.156 (52.520)	Prec@5 86.719 (81.868)
Epoch: [78][12150/14090]	Time 0.781 (0.749)	Data 0.001 (0.001)	Loss 1.9602 (1.8101)	Prec@1 51.562 (52.520)	Prec@5 77.344 (81.867)
Epoch: [78][12160/14090]	Time 0.756 (0.749)	Data 0.001 (0.001)	Loss 1.5587 (1.8100)	Prec@1 55.469 (52.519)	Prec@5 88.281 (81.868)
Epoch: [78][12170/14090]	Time 0.717 (0.749)	Data 0.001 (0.001)	Loss 2.0491 (1.8101)	Prec@1 50.781 (52.520)	Prec@5 77.344 (81.867)
Epoch: [78][12180/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 1.9813 (1.8101)	Prec@1 47.656 (52.519)	Prec@5 82.031 (81.868)
Epoch: [78][12190/14090]	Time 0.769 (0.749)	Data 0.001 (0.001)	Loss 1.6448 (1.8101)	Prec@1 60.938 (52.518)	Prec@5 82.031 (81.868)
Epoch: [78][12200/14090]	Time 0.735 (0.749)	Data 0.001 (0.001)	Loss 1.7816 (1.8101)	Prec@1 52.344 (52.518)	Prec@5 82.031 (81.868)
Epoch: [78][12210/14090]	Time 0.752 (0.749)	Data 0.002 (0.001)	Loss 1.9910 (1.8102)	Prec@1 51.562 (52.516)	Prec@5 82.812 (81.866)
Epoch: [78][12220/14090]	Time 0.756 (0.749)	Data 0.001 (0.001)	Loss 1.9313 (1.8103)	Prec@1 45.312 (52.514)	Prec@5 76.562 (81.864)
Epoch: [78][12230/14090]	Time 0.742 (0.749)	Data 0.001 (0.001)	Loss 1.8507 (1.8104)	Prec@1 57.812 (52.512)	Prec@5 84.375 (81.863)
Epoch: [78][12240/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 1.8204 (1.8103)	Prec@1 55.469 (52.513)	Prec@5 81.250 (81.864)
Epoch: [78][12250/14090]	Time 0.746 (0.749)	Data 0.001 (0.001)	Loss 1.5815 (1.8103)	Prec@1 51.562 (52.514)	Prec@5 85.938 (81.865)
Epoch: [78][12260/14090]	Time 0.763 (0.749)	Data 0.001 (0.001)	Loss 1.7197 (1.8102)	Prec@1 57.031 (52.516)	Prec@5 88.281 (81.865)
Epoch: [78][12270/14090]	Time 0.731 (0.749)	Data 0.001 (0.001)	Loss 1.7557 (1.8102)	Prec@1 53.125 (52.517)	Prec@5 82.031 (81.867)
Epoch: [78][12280/14090]	Time 0.756 (0.749)	Data 0.002 (0.001)	Loss 1.6798 (1.8102)	Prec@1 59.375 (52.517)	Prec@5 84.375 (81.867)
Epoch: [78][12290/14090]	Time 0.753 (0.749)	Data 0.001 (0.001)	Loss 1.8327 (1.8102)	Prec@1 53.906 (52.516)	Prec@5 82.812 (81.867)
Epoch: [78][12300/14090]	Time 0.725 (0.749)	Data 0.001 (0.001)	Loss 1.9218 (1.8102)	Prec@1 49.219 (52.517)	Prec@5 79.688 (81.867)
Epoch: [78][12310/14090]	Time 0.754 (0.749)	Data 0.001 (0.001)	Loss 1.8043 (1.8102)	Prec@1 53.125 (52.516)	Prec@5 82.031 (81.867)
Epoch: [78][12320/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 1.8779 (1.8102)	Prec@1 53.125 (52.515)	Prec@5 83.594 (81.868)
Epoch: [78][12330/14090]	Time 0.758 (0.749)	Data 0.001 (0.001)	Loss 1.6569 (1.8103)	Prec@1 57.031 (52.514)	Prec@5 84.375 (81.866)
Epoch: [78][12340/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 1.5083 (1.8103)	Prec@1 57.031 (52.514)	Prec@5 87.500 (81.865)
Epoch: [78][12350/14090]	Time 0.724 (0.749)	Data 0.002 (0.001)	Loss 1.5988 (1.8102)	Prec@1 57.812 (52.515)	Prec@5 89.062 (81.866)
Epoch: [78][12360/14090]	Time 0.771 (0.749)	Data 0.001 (0.001)	Loss 1.6864 (1.8102)	Prec@1 53.906 (52.515)	Prec@5 84.375 (81.865)
Epoch: [78][12370/14090]	Time 0.732 (0.749)	Data 0.001 (0.001)	Loss 1.8307 (1.8102)	Prec@1 54.688 (52.515)	Prec@5 79.688 (81.866)
Epoch: [78][12380/14090]	Time 0.732 (0.749)	Data 0.001 (0.001)	Loss 1.8073 (1.8102)	Prec@1 50.781 (52.515)	Prec@5 81.250 (81.865)
Epoch: [78][12390/14090]	Time 0.763 (0.749)	Data 0.001 (0.001)	Loss 1.7676 (1.8102)	Prec@1 55.469 (52.516)	Prec@5 83.594 (81.865)
Epoch: [78][12400/14090]	Time 0.750 (0.749)	Data 0.001 (0.001)	Loss 1.5439 (1.8103)	Prec@1 58.594 (52.515)	Prec@5 84.375 (81.864)
Epoch: [78][12410/14090]	Time 0.722 (0.749)	Data 0.001 (0.001)	Loss 1.9248 (1.8103)	Prec@1 53.125 (52.516)	Prec@5 78.125 (81.864)
Epoch: [78][12420/14090]	Time 0.759 (0.749)	Data 0.002 (0.001)	Loss 1.7011 (1.8103)	Prec@1 54.688 (52.515)	Prec@5 82.031 (81.863)
Epoch: [78][12430/14090]	Time 0.746 (0.749)	Data 0.001 (0.001)	Loss 2.0094 (1.8103)	Prec@1 46.094 (52.514)	Prec@5 78.906 (81.862)
Epoch: [78][12440/14090]	Time 0.744 (0.749)	Data 0.001 (0.001)	Loss 1.8337 (1.8103)	Prec@1 54.688 (52.514)	Prec@5 81.250 (81.861)
Epoch: [78][12450/14090]	Time 0.753 (0.749)	Data 0.001 (0.001)	Loss 1.9632 (1.8104)	Prec@1 43.750 (52.512)	Prec@5 80.469 (81.861)
Epoch: [78][12460/14090]	Time 0.745 (0.749)	Data 0.001 (0.001)	Loss 2.0401 (1.8105)	Prec@1 48.438 (52.512)	Prec@5 76.562 (81.859)
Epoch: [78][12470/14090]	Time 0.764 (0.749)	Data 0.001 (0.001)	Loss 1.8085 (1.8105)	Prec@1 50.781 (52.510)	Prec@5 79.688 (81.858)
Epoch: [78][12480/14090]	Time 0.734 (0.749)	Data 0.001 (0.001)	Loss 1.7541 (1.8106)	Prec@1 53.906 (52.507)	Prec@5 79.688 (81.856)
Epoch: [78][12490/14090]	Time 0.728 (0.749)	Data 0.002 (0.001)	Loss 1.5137 (1.8106)	Prec@1 53.906 (52.506)	Prec@5 89.844 (81.857)
Epoch: [78][12500/14090]	Time 0.761 (0.749)	Data 0.001 (0.001)	Loss 1.9769 (1.8107)	Prec@1 50.000 (52.504)	Prec@5 78.906 (81.856)
Epoch: [78][12510/14090]	Time 0.766 (0.749)	Data 0.001 (0.001)	Loss 1.7373 (1.8106)	Prec@1 52.344 (52.505)	Prec@5 80.469 (81.855)
Epoch: [78][12520/14090]	Time 0.753 (0.749)	Data 0.001 (0.001)	Loss 1.8835 (1.8107)	Prec@1 53.125 (52.504)	Prec@5 78.906 (81.854)
Epoch: [78][12530/14090]	Time 0.765 (0.749)	Data 0.001 (0.001)	Loss 1.8939 (1.8107)	Prec@1 52.344 (52.505)	Prec@5 83.594 (81.855)
Epoch: [78][12540/14090]	Time 0.755 (0.749)	Data 0.001 (0.001)	Loss 1.9864 (1.8107)	Prec@1 50.781 (52.504)	Prec@5 75.781 (81.854)
Epoch: [78][12550/14090]	Time 0.732 (0.749)	Data 0.001 (0.001)	Loss 1.6163 (1.8107)	Prec@1 55.469 (52.503)	Prec@5 85.156 (81.854)
Epoch: [78][12560/14090]	Time 0.732 (0.749)	Data 0.002 (0.001)	Loss 1.9391 (1.8108)	Prec@1 48.438 (52.503)	Prec@5 81.250 (81.852)
Epoch: [78][12570/14090]	Time 0.779 (0.749)	Data 0.001 (0.001)	Loss 1.5752 (1.8108)	Prec@1 61.719 (52.502)	Prec@5 84.375 (81.852)
Epoch: [78][12580/14090]	Time 0.767 (0.749)	Data 0.001 (0.001)	Loss 1.7394 (1.8109)	Prec@1 59.375 (52.501)	Prec@5 82.031 (81.851)
Epoch: [78][12590/14090]	Time 0.748 (0.749)	Data 0.001 (0.001)	Loss 2.0924 (1.8109)	Prec@1 48.438 (52.500)	Prec@5 84.375 (81.852)
Epoch: [78][12600/14090]	Time 0.736 (0.749)	Data 0.001 (0.001)	Loss 1.8049 (1.8109)	Prec@1 51.562 (52.501)	Prec@5 82.031 (81.852)
Epoch: [78][12610/14090]	Time 0.749 (0.749)	Data 0.001 (0.001)	Loss 1.7114 (1.8109)	Prec@1 56.250 (52.503)	Prec@5 82.031 (81.852)
Epoch: [78][12620/14090]	Time 0.730 (0.749)	Data 0.001 (0.001)	Loss 1.8733 (1.8108)	Prec@1 53.906 (52.504)	Prec@5 83.594 (81.851)
Epoch: [78][12630/14090]	Time 0.786 (0.749)	Data 0.002 (0.001)	Loss 1.5849 (1.8108)	Prec@1 57.031 (52.504)	Prec@5 85.938 (81.852)
Epoch: [78][12640/14090]	Time 0.734 (0.749)	Data 0.001 (0.001)	Loss 1.6393 (1.8108)	Prec@1 53.906 (52.504)	Prec@5 89.062 (81.853)
Epoch: [78][12650/14090]	Time 0.757 (0.749)	Data 0.001 (0.001)	Loss 1.9029 (1.8109)	Prec@1 50.000 (52.503)	Prec@5 82.812 (81.852)
Epoch: [78][12660/14090]	Time 0.740 (0.749)	Data 0.001 (0.001)	Loss 1.9123 (1.8109)	Prec@1 44.531 (52.501)	Prec@5 80.469 (81.851)
Epoch: [78][12670/14090]	Time 0.758 (0.749)	Data 0.001 (0.001)	Loss 1.6946 (1.8109)	Prec@1 51.562 (52.502)	Prec@5 85.156 (81.852)
Epoch: [78][12680/14090]	Time 0.728 (0.749)	Data 0.001 (0.001)	Loss 1.7619 (1.8109)	Prec@1 51.562 (52.503)	Prec@5 82.812 (81.852)
Epoch: [78][12690/14090]	Time 0.746 (0.749)	Data 0.001 (0.001)	Loss 1.7435 (1.8109)	Prec@1 53.906 (52.502)	Prec@5 85.938 (81.851)
Epoch: [78][12700/14090]	Time 0.748 (0.749)	Data 0.002 (0.001)	Loss 1.4799 (1.8109)	Prec@1 64.062 (52.501)	Prec@5 88.281 (81.852)
Epoch: [78][12710/14090]	Time 0.741 (0.749)	Data 0.001 (0.001)	Loss 1.7010 (1.8110)	Prec@1 52.344 (52.500)	Prec@5 78.906 (81.851)
Epoch: [78][12720/14090]	Time 0.776 (0.749)	Data 0.001 (0.001)	Loss 1.7037 (1.8110)	Prec@1 51.562 (52.500)	Prec@5 86.719 (81.852)
Epoch: [78][12730/14090]	Time 0.749 (0.749)	Data 0.001 (0.001)	Loss 2.0428 (1.8110)	Prec@1 42.188 (52.499)	Prec@5 79.688 (81.852)
Epoch: [78][12740/14090]	Time 0.752 (0.749)	Data 0.001 (0.001)	Loss 1.5826 (1.8111)	Prec@1 52.344 (52.498)	Prec@5 89.062 (81.851)
Epoch: [78][12750/14090]	Time 0.736 (0.749)	Data 0.001 (0.001)	Loss 1.7361 (1.8111)	Prec@1 53.906 (52.497)	Prec@5 84.375 (81.851)
Epoch: [78][12760/14090]	Time 0.742 (0.749)	Data 0.001 (0.001)	Loss 1.5766 (1.8110)	Prec@1 57.812 (52.498)	Prec@5 85.938 (81.851)
Epoch: [78][12770/14090]	Time 0.773 (0.749)	Data 0.002 (0.001)	Loss 1.7575 (1.8110)	Prec@1 50.000 (52.497)	Prec@5 86.719 (81.852)
Epoch: [78][12780/14090]	Time 0.744 (0.749)	Data 0.001 (0.001)	Loss 1.7900 (1.8110)	Prec@1 51.562 (52.498)	Prec@5 79.688 (81.852)
Epoch: [78][12790/14090]	Time 0.774 (0.749)	Data 0.001 (0.001)	Loss 2.0337 (1.8110)	Prec@1 45.312 (52.497)	Prec@5 78.125 (81.853)
Epoch: [78][12800/14090]	Time 0.746 (0.749)	Data 0.001 (0.001)	Loss 1.8529 (1.8110)	Prec@1 53.906 (52.497)	Prec@5 82.031 (81.852)
Epoch: [78][12810/14090]	Time 0.745 (0.749)	Data 0.001 (0.001)	Loss 1.5845 (1.8110)	Prec@1 58.594 (52.498)	Prec@5 84.375 (81.854)
Epoch: [78][12820/14090]	Time 0.756 (0.749)	Data 0.001 (0.001)	Loss 1.7345 (1.8110)	Prec@1 52.344 (52.498)	Prec@5 80.469 (81.856)
Epoch: [78][12830/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 2.0673 (1.8111)	Prec@1 46.875 (52.496)	Prec@5 78.125 (81.854)
Epoch: [78][12840/14090]	Time 0.782 (0.749)	Data 0.002 (0.001)	Loss 1.8752 (1.8111)	Prec@1 49.219 (52.494)	Prec@5 80.469 (81.853)
Epoch: [78][12850/14090]	Time 0.739 (0.749)	Data 0.001 (0.001)	Loss 1.9574 (1.8111)	Prec@1 48.438 (52.494)	Prec@5 78.906 (81.854)
Epoch: [78][12860/14090]	Time 0.726 (0.749)	Data 0.001 (0.001)	Loss 1.8835 (1.8111)	Prec@1 46.875 (52.496)	Prec@5 80.469 (81.855)
Epoch: [78][12870/14090]	Time 0.747 (0.749)	Data 0.001 (0.001)	Loss 1.6509 (1.8110)	Prec@1 52.344 (52.496)	Prec@5 88.281 (81.856)
Epoch: [78][12880/14090]	Time 0.726 (0.749)	Data 0.001 (0.001)	Loss 1.5754 (1.8110)	Prec@1 58.594 (52.497)	Prec@5 89.062 (81.857)
Epoch: [78][12890/14090]	Time 0.749 (0.749)	Data 0.001 (0.001)	Loss 1.8911 (1.8110)	Prec@1 52.344 (52.496)	Prec@5 78.125 (81.856)
Epoch: [78][12900/14090]	Time 0.731 (0.749)	Data 0.001 (0.001)	Loss 1.9221 (1.8111)	Prec@1 50.781 (52.494)	Prec@5 82.031 (81.856)
Epoch: [78][12910/14090]	Time 0.746 (0.749)	Data 0.002 (0.001)	Loss 1.6792 (1.8110)	Prec@1 53.906 (52.494)	Prec@5 82.031 (81.856)
Epoch: [78][12920/14090]	Time 0.779 (0.749)	Data 0.001 (0.001)	Loss 1.9622 (1.8110)	Prec@1 45.312 (52.492)	Prec@5 81.250 (81.856)
Epoch: [78][12930/14090]	Time 0.729 (0.749)	Data 0.001 (0.001)	Loss 1.6608 (1.8110)	Prec@1 57.812 (52.493)	Prec@5 83.594 (81.857)
Epoch: [78][12940/14090]	Time 0.746 (0.749)	Data 0.001 (0.001)	Loss 1.8698 (1.8110)	Prec@1 45.312 (52.492)	Prec@5 78.906 (81.856)
Epoch: [78][12950/14090]	Time 0.770 (0.749)	Data 0.001 (0.001)	Loss 1.6432 (1.8111)	Prec@1 53.906 (52.491)	Prec@5 84.375 (81.855)
Epoch: [78][12960/14090]	Time 0.728 (0.749)	Data 0.001 (0.001)	Loss 1.9777 (1.8110)	Prec@1 51.562 (52.492)	Prec@5 78.906 (81.856)
Epoch: [78][12970/14090]	Time 0.745 (0.749)	Data 0.001 (0.001)	Loss 2.0931 (1.8110)	Prec@1 44.531 (52.491)	Prec@5 74.219 (81.856)
Epoch: [78][12980/14090]	Time 0.740 (0.749)	Data 0.002 (0.001)	Loss 2.0293 (1.8111)	Prec@1 50.781 (52.489)	Prec@5 78.125 (81.855)
Epoch: [78][12990/14090]	Time 0.776 (0.749)	Data 0.001 (0.001)	Loss 2.0677 (1.8111)	Prec@1 47.656 (52.487)	Prec@5 78.125 (81.857)
Epoch: [78][13000/14090]	Time 0.746 (0.749)	Data 0.001 (0.001)	Loss 1.7540 (1.8111)	Prec@1 54.688 (52.487)	Prec@5 83.594 (81.856)
Epoch: [78][13010/14090]	Time 0.734 (0.749)	Data 0.001 (0.001)	Loss 1.7923 (1.8111)	Prec@1 58.594 (52.487)	Prec@5 82.812 (81.857)
Epoch: [78][13020/14090]	Time 0.781 (0.749)	Data 0.001 (0.001)	Loss 1.8370 (1.8112)	Prec@1 52.344 (52.486)	Prec@5 83.594 (81.857)
Epoch: [78][13030/14090]	Time 0.730 (0.749)	Data 0.001 (0.001)	Loss 1.9529 (1.8112)	Prec@1 50.000 (52.485)	Prec@5 80.469 (81.857)
Epoch: [78][13040/14090]	Time 0.744 (0.749)	Data 0.001 (0.001)	Loss 1.8695 (1.8113)	Prec@1 51.562 (52.485)	Prec@5 82.812 (81.857)
Epoch: [78][13050/14090]	Time 0.727 (0.749)	Data 0.002 (0.001)	Loss 1.9216 (1.8113)	Prec@1 46.094 (52.484)	Prec@5 80.469 (81.857)
Epoch: [78][13060/14090]	Time 0.737 (0.749)	Data 0.001 (0.001)	Loss 1.9925 (1.8113)	Prec@1 45.312 (52.482)	Prec@5 78.906 (81.856)
Epoch: [78][13070/14090]	Time 0.775 (0.749)	Data 0.001 (0.001)	Loss 1.9120 (1.8113)	Prec@1 52.344 (52.483)	Prec@5 79.688 (81.855)
Epoch: [78][13080/14090]	Time 0.745 (0.749)	Data 0.001 (0.001)	Loss 2.0697 (1.8113)	Prec@1 47.656 (52.484)	Prec@5 73.438 (81.855)
Epoch: [78][13090/14090]	Time 0.782 (0.749)	Data 0.001 (0.001)	Loss 1.7870 (1.8113)	Prec@1 57.812 (52.484)	Prec@5 79.688 (81.855)
Epoch: [78][13100/14090]	Time 0.756 (0.749)	Data 0.001 (0.001)	Loss 1.6958 (1.8113)	Prec@1 57.812 (52.484)	Prec@5 81.250 (81.856)
Epoch: [78][13110/14090]	Time 0.747 (0.749)	Data 0.001 (0.001)	Loss 1.9076 (1.8114)	Prec@1 53.125 (52.482)	Prec@5 79.688 (81.855)
Epoch: [78][13120/14090]	Time 0.746 (0.749)	Data 0.002 (0.001)	Loss 1.8659 (1.8114)	Prec@1 50.781 (52.482)	Prec@5 80.469 (81.854)
Epoch: [78][13130/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 1.8741 (1.8114)	Prec@1 51.562 (52.481)	Prec@5 82.812 (81.854)
Epoch: [78][13140/14090]	Time 0.746 (0.749)	Data 0.001 (0.001)	Loss 1.8827 (1.8114)	Prec@1 49.219 (52.483)	Prec@5 82.031 (81.855)
Epoch: [78][13150/14090]	Time 0.736 (0.749)	Data 0.001 (0.001)	Loss 1.8331 (1.8114)	Prec@1 53.906 (52.482)	Prec@5 77.344 (81.854)
Epoch: [78][13160/14090]	Time 0.745 (0.749)	Data 0.001 (0.001)	Loss 1.5848 (1.8113)	Prec@1 57.812 (52.484)	Prec@5 83.594 (81.855)
Epoch: [78][13170/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 1.6259 (1.8113)	Prec@1 58.594 (52.482)	Prec@5 87.500 (81.855)
Epoch: [78][13180/14090]	Time 0.743 (0.749)	Data 0.001 (0.001)	Loss 1.5269 (1.8114)	Prec@1 57.031 (52.481)	Prec@5 86.719 (81.854)
Epoch: [78][13190/14090]	Time 0.765 (0.749)	Data 0.002 (0.001)	Loss 1.6776 (1.8114)	Prec@1 60.938 (52.481)	Prec@5 81.250 (81.853)
Epoch: [78][13200/14090]	Time 0.747 (0.749)	Data 0.001 (0.001)	Loss 1.7121 (1.8114)	Prec@1 54.688 (52.481)	Prec@5 82.031 (81.853)
Epoch: [78][13210/14090]	Time 0.759 (0.749)	Data 0.001 (0.001)	Loss 1.8828 (1.8114)	Prec@1 50.781 (52.481)	Prec@5 79.688 (81.852)
Epoch: [78][13220/14090]	Time 0.755 (0.749)	Data 0.001 (0.001)	Loss 1.9618 (1.8115)	Prec@1 48.438 (52.480)	Prec@5 80.469 (81.851)
Epoch: [78][13230/14090]	Time 0.729 (0.749)	Data 0.001 (0.001)	Loss 1.9435 (1.8115)	Prec@1 52.344 (52.480)	Prec@5 78.906 (81.852)
Epoch: [78][13240/14090]	Time 0.750 (0.749)	Data 0.001 (0.001)	Loss 1.8882 (1.8115)	Prec@1 53.125 (52.481)	Prec@5 79.688 (81.852)
Epoch: [78][13250/14090]	Time 0.757 (0.749)	Data 0.001 (0.001)	Loss 1.8615 (1.8115)	Prec@1 50.781 (52.481)	Prec@5 78.906 (81.851)
Epoch: [78][13260/14090]	Time 0.753 (0.749)	Data 0.002 (0.001)	Loss 1.6685 (1.8115)	Prec@1 57.031 (52.482)	Prec@5 85.938 (81.852)
Epoch: [78][13270/14090]	Time 0.735 (0.749)	Data 0.001 (0.001)	Loss 1.8183 (1.8115)	Prec@1 53.125 (52.480)	Prec@5 80.469 (81.851)
Epoch: [78][13280/14090]	Time 0.747 (0.749)	Data 0.001 (0.001)	Loss 1.7101 (1.8115)	Prec@1 55.469 (52.481)	Prec@5 85.938 (81.851)
Epoch: [78][13290/14090]	Time 0.734 (0.749)	Data 0.001 (0.001)	Loss 1.8449 (1.8115)	Prec@1 58.594 (52.481)	Prec@5 82.031 (81.852)
Epoch: [78][13300/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 1.8758 (1.8115)	Prec@1 53.906 (52.482)	Prec@5 80.469 (81.851)
Epoch: [78][13310/14090]	Time 0.740 (0.749)	Data 0.001 (0.001)	Loss 1.8178 (1.8115)	Prec@1 53.906 (52.482)	Prec@5 80.469 (81.851)
Epoch: [78][13320/14090]	Time 0.757 (0.749)	Data 0.001 (0.001)	Loss 1.6490 (1.8114)	Prec@1 57.031 (52.484)	Prec@5 82.031 (81.851)
Epoch: [78][13330/14090]	Time 0.770 (0.749)	Data 0.002 (0.001)	Loss 1.8198 (1.8114)	Prec@1 54.688 (52.485)	Prec@5 82.812 (81.853)
Epoch: [78][13340/14090]	Time 0.742 (0.749)	Data 0.001 (0.001)	Loss 1.8657 (1.8115)	Prec@1 51.562 (52.484)	Prec@5 78.906 (81.852)
Epoch: [78][13350/14090]	Time 0.744 (0.749)	Data 0.001 (0.001)	Loss 1.8612 (1.8114)	Prec@1 50.000 (52.485)	Prec@5 83.594 (81.853)
Epoch: [78][13360/14090]	Time 0.735 (0.749)	Data 0.001 (0.001)	Loss 1.9493 (1.8115)	Prec@1 46.875 (52.484)	Prec@5 83.594 (81.852)
Epoch: [78][13370/14090]	Time 0.777 (0.749)	Data 0.001 (0.001)	Loss 1.7951 (1.8115)	Prec@1 56.250 (52.482)	Prec@5 79.688 (81.851)
Epoch: [78][13380/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 1.8990 (1.8116)	Prec@1 46.875 (52.481)	Prec@5 78.906 (81.850)
Epoch: [78][13390/14090]	Time 0.728 (0.749)	Data 0.001 (0.001)	Loss 1.8396 (1.8116)	Prec@1 53.906 (52.481)	Prec@5 81.250 (81.850)
Epoch: [78][13400/14090]	Time 0.732 (0.749)	Data 0.002 (0.001)	Loss 1.9490 (1.8116)	Prec@1 45.312 (52.480)	Prec@5 78.906 (81.849)
Epoch: [78][13410/14090]	Time 0.785 (0.749)	Data 0.001 (0.001)	Loss 2.0940 (1.8116)	Prec@1 48.438 (52.481)	Prec@5 76.562 (81.850)
Epoch: [78][13420/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 1.8525 (1.8116)	Prec@1 53.125 (52.481)	Prec@5 82.812 (81.851)
Epoch: [78][13430/14090]	Time 0.752 (0.749)	Data 0.001 (0.001)	Loss 1.7711 (1.8116)	Prec@1 51.562 (52.481)	Prec@5 88.281 (81.851)
Epoch: [78][13440/14090]	Time 0.725 (0.749)	Data 0.001 (0.001)	Loss 2.0034 (1.8116)	Prec@1 37.500 (52.480)	Prec@5 77.344 (81.851)
Epoch: [78][13450/14090]	Time 0.754 (0.749)	Data 0.001 (0.001)	Loss 1.8120 (1.8117)	Prec@1 54.688 (52.478)	Prec@5 78.125 (81.850)
Epoch: [78][13460/14090]	Time 0.736 (0.749)	Data 0.001 (0.001)	Loss 1.9612 (1.8117)	Prec@1 47.656 (52.478)	Prec@5 80.469 (81.850)
Epoch: [78][13470/14090]	Time 0.757 (0.749)	Data 0.002 (0.001)	Loss 1.8569 (1.8117)	Prec@1 50.781 (52.480)	Prec@5 81.250 (81.850)
Epoch: [78][13480/14090]	Time 0.743 (0.749)	Data 0.001 (0.001)	Loss 1.8805 (1.8117)	Prec@1 52.344 (52.479)	Prec@5 81.250 (81.850)
Epoch: [78][13490/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 1.8416 (1.8117)	Prec@1 49.219 (52.480)	Prec@5 80.469 (81.850)
Epoch: [78][13500/14090]	Time 0.748 (0.749)	Data 0.001 (0.001)	Loss 1.9392 (1.8117)	Prec@1 50.000 (52.480)	Prec@5 81.250 (81.849)
Epoch: [78][13510/14090]	Time 0.754 (0.749)	Data 0.002 (0.001)	Loss 1.9083 (1.8118)	Prec@1 42.969 (52.479)	Prec@5 85.156 (81.847)
Epoch: [78][13520/14090]	Time 0.754 (0.749)	Data 0.001 (0.001)	Loss 1.6819 (1.8117)	Prec@1 53.125 (52.480)	Prec@5 86.719 (81.847)
Epoch: [78][13530/14090]	Time 0.743 (0.749)	Data 0.001 (0.001)	Loss 2.0372 (1.8118)	Prec@1 45.312 (52.479)	Prec@5 77.344 (81.847)
Epoch: [78][13540/14090]	Time 0.758 (0.749)	Data 0.003 (0.001)	Loss 1.8788 (1.8117)	Prec@1 51.562 (52.479)	Prec@5 79.688 (81.848)
Epoch: [78][13550/14090]	Time 0.744 (0.749)	Data 0.001 (0.001)	Loss 1.8182 (1.8118)	Prec@1 55.469 (52.478)	Prec@5 75.781 (81.846)
Epoch: [78][13560/14090]	Time 0.746 (0.749)	Data 0.001 (0.001)	Loss 1.5872 (1.8118)	Prec@1 61.719 (52.478)	Prec@5 86.719 (81.845)
Epoch: [78][13570/14090]	Time 0.734 (0.749)	Data 0.001 (0.001)	Loss 1.9127 (1.8118)	Prec@1 48.438 (52.477)	Prec@5 81.250 (81.846)
Epoch: [78][13580/14090]	Time 0.776 (0.749)	Data 0.001 (0.001)	Loss 1.7821 (1.8118)	Prec@1 53.906 (52.478)	Prec@5 80.469 (81.845)
Epoch: [78][13590/14090]	Time 0.745 (0.749)	Data 0.001 (0.001)	Loss 2.0768 (1.8118)	Prec@1 50.781 (52.477)	Prec@5 77.344 (81.843)
Epoch: [78][13600/14090]	Time 0.741 (0.749)	Data 0.001 (0.001)	Loss 1.9277 (1.8118)	Prec@1 49.219 (52.476)	Prec@5 79.688 (81.844)
Epoch: [78][13610/14090]	Time 0.780 (0.749)	Data 0.002 (0.001)	Loss 2.1334 (1.8118)	Prec@1 48.438 (52.476)	Prec@5 76.562 (81.844)
Epoch: [78][13620/14090]	Time 0.759 (0.749)	Data 0.001 (0.001)	Loss 2.0406 (1.8118)	Prec@1 48.438 (52.475)	Prec@5 76.562 (81.844)
Epoch: [78][13630/14090]	Time 0.757 (0.749)	Data 0.001 (0.001)	Loss 1.7886 (1.8118)	Prec@1 48.438 (52.476)	Prec@5 81.250 (81.844)
Epoch: [78][13640/14090]	Time 0.749 (0.749)	Data 0.001 (0.001)	Loss 1.7389 (1.8118)	Prec@1 57.812 (52.476)	Prec@5 80.469 (81.844)
Epoch: [78][13650/14090]	Time 0.773 (0.749)	Data 0.001 (0.001)	Loss 1.8697 (1.8118)	Prec@1 53.125 (52.475)	Prec@5 79.688 (81.844)
Epoch: [78][13660/14090]	Time 0.748 (0.749)	Data 0.001 (0.001)	Loss 1.8783 (1.8118)	Prec@1 55.469 (52.475)	Prec@5 81.250 (81.844)
Epoch: [78][13670/14090]	Time 0.723 (0.749)	Data 0.001 (0.001)	Loss 2.0118 (1.8119)	Prec@1 49.219 (52.474)	Prec@5 78.125 (81.844)
Epoch: [78][13680/14090]	Time 0.750 (0.749)	Data 0.002 (0.001)	Loss 1.7479 (1.8118)	Prec@1 52.344 (52.473)	Prec@5 80.469 (81.843)
Epoch: [78][13690/14090]	Time 0.736 (0.749)	Data 0.001 (0.001)	Loss 1.7833 (1.8118)	Prec@1 56.250 (52.475)	Prec@5 80.469 (81.844)
Epoch: [78][13700/14090]	Time 0.768 (0.749)	Data 0.001 (0.001)	Loss 1.8815 (1.8118)	Prec@1 50.781 (52.474)	Prec@5 82.031 (81.843)
Epoch: [78][13710/14090]	Time 0.753 (0.749)	Data 0.001 (0.001)	Loss 1.7695 (1.8118)	Prec@1 53.125 (52.474)	Prec@5 81.250 (81.843)
Epoch: [78][13720/14090]	Time 0.722 (0.749)	Data 0.001 (0.001)	Loss 1.4888 (1.8118)	Prec@1 60.156 (52.474)	Prec@5 85.938 (81.842)
Epoch: [78][13730/14090]	Time 0.763 (0.749)	Data 0.001 (0.001)	Loss 1.7405 (1.8118)	Prec@1 53.906 (52.475)	Prec@5 83.594 (81.841)
Epoch: [78][13740/14090]	Time 0.746 (0.749)	Data 0.001 (0.001)	Loss 1.8247 (1.8118)	Prec@1 53.125 (52.475)	Prec@5 82.812 (81.841)
Epoch: [78][13750/14090]	Time 0.749 (0.749)	Data 0.003 (0.001)	Loss 1.8773 (1.8118)	Prec@1 55.469 (52.474)	Prec@5 76.562 (81.841)
Epoch: [78][13760/14090]	Time 0.755 (0.749)	Data 0.001 (0.001)	Loss 1.8100 (1.8119)	Prec@1 50.781 (52.474)	Prec@5 85.156 (81.840)
Epoch: [78][13770/14090]	Time 0.758 (0.749)	Data 0.001 (0.001)	Loss 2.0314 (1.8119)	Prec@1 49.219 (52.473)	Prec@5 74.219 (81.839)
Epoch: [78][13780/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 1.5749 (1.8120)	Prec@1 59.375 (52.472)	Prec@5 87.500 (81.840)
Epoch: [78][13790/14090]	Time 0.760 (0.749)	Data 0.001 (0.001)	Loss 1.7260 (1.8120)	Prec@1 53.125 (52.471)	Prec@5 82.812 (81.839)
Epoch: [78][13800/14090]	Time 0.730 (0.749)	Data 0.001 (0.001)	Loss 1.8963 (1.8120)	Prec@1 50.000 (52.470)	Prec@5 78.906 (81.839)
Epoch: [78][13810/14090]	Time 0.737 (0.749)	Data 0.001 (0.001)	Loss 1.9051 (1.8121)	Prec@1 46.094 (52.470)	Prec@5 82.031 (81.840)
Epoch: [78][13820/14090]	Time 0.737 (0.749)	Data 0.002 (0.001)	Loss 2.0730 (1.8121)	Prec@1 49.219 (52.468)	Prec@5 77.344 (81.839)
Epoch: [78][13830/14090]	Time 0.730 (0.749)	Data 0.001 (0.001)	Loss 1.9223 (1.8121)	Prec@1 47.656 (52.468)	Prec@5 82.031 (81.838)
Epoch: [78][13840/14090]	Time 0.752 (0.749)	Data 0.001 (0.001)	Loss 1.7998 (1.8121)	Prec@1 53.906 (52.469)	Prec@5 80.469 (81.837)
Epoch: [78][13850/14090]	Time 0.767 (0.749)	Data 0.001 (0.001)	Loss 1.7040 (1.8121)	Prec@1 57.031 (52.470)	Prec@5 88.281 (81.838)
Epoch: [78][13860/14090]	Time 0.736 (0.749)	Data 0.001 (0.001)	Loss 1.6097 (1.8120)	Prec@1 57.031 (52.472)	Prec@5 85.156 (81.838)
Epoch: [78][13870/14090]	Time 0.745 (0.749)	Data 0.001 (0.001)	Loss 1.6199 (1.8120)	Prec@1 62.500 (52.471)	Prec@5 85.938 (81.838)
Epoch: [78][13880/14090]	Time 0.737 (0.749)	Data 0.001 (0.001)	Loss 1.9219 (1.8121)	Prec@1 50.781 (52.471)	Prec@5 78.125 (81.838)
Epoch: [78][13890/14090]	Time 0.750 (0.749)	Data 0.002 (0.001)	Loss 1.8271 (1.8121)	Prec@1 52.344 (52.472)	Prec@5 78.906 (81.837)
Epoch: [78][13900/14090]	Time 0.742 (0.749)	Data 0.001 (0.001)	Loss 2.0226 (1.8120)	Prec@1 51.562 (52.475)	Prec@5 76.562 (81.837)
Epoch: [78][13910/14090]	Time 0.752 (0.749)	Data 0.001 (0.001)	Loss 1.7467 (1.8120)	Prec@1 50.000 (52.475)	Prec@5 82.812 (81.838)
Epoch: [78][13920/14090]	Time 0.726 (0.749)	Data 0.001 (0.001)	Loss 1.8490 (1.8120)	Prec@1 49.219 (52.474)	Prec@5 83.594 (81.838)
Epoch: [78][13930/14090]	Time 0.776 (0.749)	Data 0.001 (0.001)	Loss 2.0539 (1.8121)	Prec@1 48.438 (52.472)	Prec@5 80.469 (81.838)
Epoch: [78][13940/14090]	Time 0.773 (0.749)	Data 0.001 (0.001)	Loss 1.8030 (1.8120)	Prec@1 53.125 (52.473)	Prec@5 84.375 (81.839)
Epoch: [78][13950/14090]	Time 0.749 (0.749)	Data 0.001 (0.001)	Loss 1.7006 (1.8120)	Prec@1 55.469 (52.472)	Prec@5 78.906 (81.839)
Epoch: [78][13960/14090]	Time 0.727 (0.749)	Data 0.002 (0.001)	Loss 1.8203 (1.8120)	Prec@1 53.125 (52.472)	Prec@5 84.375 (81.839)
Epoch: [78][13970/14090]	Time 0.731 (0.749)	Data 0.001 (0.001)	Loss 1.8121 (1.8121)	Prec@1 53.125 (52.471)	Prec@5 81.250 (81.839)
Epoch: [78][13980/14090]	Time 0.786 (0.749)	Data 0.001 (0.001)	Loss 1.8831 (1.8121)	Prec@1 47.656 (52.468)	Prec@5 81.250 (81.837)
Epoch: [78][13990/14090]	Time 0.737 (0.749)	Data 0.001 (0.001)	Loss 1.8402 (1.8121)	Prec@1 53.906 (52.468)	Prec@5 83.594 (81.837)
Epoch: [78][14000/14090]	Time 0.740 (0.749)	Data 0.002 (0.001)	Loss 1.6753 (1.8121)	Prec@1 58.594 (52.470)	Prec@5 85.156 (81.839)
Epoch: [78][14010/14090]	Time 0.729 (0.749)	Data 0.001 (0.001)	Loss 1.8378 (1.8121)	Prec@1 51.562 (52.470)	Prec@5 81.250 (81.838)
Epoch: [78][14020/14090]	Time 0.742 (0.749)	Data 0.001 (0.001)	Loss 1.7879 (1.8121)	Prec@1 57.812 (52.469)	Prec@5 82.031 (81.838)
Epoch: [78][14030/14090]	Time 0.756 (0.749)	Data 0.002 (0.001)	Loss 1.5569 (1.8120)	Prec@1 57.031 (52.471)	Prec@5 85.156 (81.838)
Epoch: [78][14040/14090]	Time 0.748 (0.749)	Data 0.001 (0.001)	Loss 2.0362 (1.8121)	Prec@1 49.219 (52.470)	Prec@5 78.125 (81.837)
Epoch: [78][14050/14090]	Time 0.746 (0.749)	Data 0.001 (0.001)	Loss 1.9111 (1.8121)	Prec@1 45.312 (52.469)	Prec@5 79.688 (81.837)
Epoch: [78][14060/14090]	Time 0.736 (0.749)	Data 0.001 (0.001)	Loss 1.7276 (1.8121)	Prec@1 54.688 (52.469)	Prec@5 82.812 (81.837)
Epoch: [78][14070/14090]	Time 0.740 (0.749)	Data 0.001 (0.001)	Loss 1.8607 (1.8121)	Prec@1 53.125 (52.468)	Prec@5 82.812 (81.837)
Epoch: [78][14080/14090]	Time 0.751 (0.749)	Data 0.000 (0.001)	Loss 1.7340 (1.8121)	Prec@1 58.594 (52.467)	Prec@5 77.344 (81.836)
Test: [0/286]	Time 4.221 (4.221)	Loss 1.2107 (1.2107)	Prec@1 62.500 (62.500)	Prec@5 95.312 (95.312)
Test: [10/286]	Time 0.278 (0.690)	Loss 1.6729 (1.7721)	Prec@1 52.344 (53.622)	Prec@5 89.844 (84.943)
Test: [20/286]	Time 0.287 (0.538)	Loss 1.3680 (1.7311)	Prec@1 62.500 (54.129)	Prec@5 92.969 (85.454)
Test: [30/286]	Time 0.236 (0.475)	Loss 1.8122 (1.6678)	Prec@1 54.688 (56.300)	Prec@5 82.031 (85.786)
Test: [40/286]	Time 1.210 (0.469)	Loss 1.5569 (1.6618)	Prec@1 56.250 (56.383)	Prec@5 87.500 (86.166)
Test: [50/286]	Time 0.404 (0.450)	Loss 0.4650 (1.6505)	Prec@1 92.969 (56.357)	Prec@5 95.312 (86.351)
Test: [60/286]	Time 0.260 (0.432)	Loss 2.6716 (1.6859)	Prec@1 35.938 (55.699)	Prec@5 67.969 (85.233)
Test: [70/286]	Time 0.248 (0.422)	Loss 1.0521 (1.6697)	Prec@1 75.000 (55.876)	Prec@5 92.969 (85.453)
Test: [80/286]	Time 1.274 (0.425)	Loss 1.6041 (1.6962)	Prec@1 53.125 (54.880)	Prec@5 89.844 (85.185)
Test: [90/286]	Time 0.265 (0.418)	Loss 1.7101 (1.7114)	Prec@1 52.344 (54.533)	Prec@5 87.500 (84.985)
Test: [100/286]	Time 0.247 (0.413)	Loss 2.3401 (1.7266)	Prec@1 30.469 (54.007)	Prec@5 80.469 (84.909)
Test: [110/286]	Time 0.225 (0.406)	Loss 2.3210 (1.7455)	Prec@1 42.188 (53.526)	Prec@5 73.438 (84.776)
Test: [120/286]	Time 1.193 (0.410)	Loss 1.3755 (1.7343)	Prec@1 67.969 (53.990)	Prec@5 82.812 (84.859)
Test: [130/286]	Time 0.242 (0.407)	Loss 0.8012 (1.7275)	Prec@1 75.781 (54.222)	Prec@5 96.094 (84.983)
Test: [140/286]	Time 0.225 (0.404)	Loss 2.2630 (1.7202)	Prec@1 48.438 (54.394)	Prec@5 71.875 (84.968)
Test: [150/286]	Time 0.247 (0.400)	Loss 2.3982 (1.7302)	Prec@1 39.062 (53.958)	Prec@5 78.906 (84.903)
Test: [160/286]	Time 1.223 (0.403)	Loss 2.5224 (1.7266)	Prec@1 30.469 (54.008)	Prec@5 72.656 (84.923)
Test: [170/286]	Time 0.231 (0.401)	Loss 1.9896 (1.7196)	Prec@1 42.969 (54.084)	Prec@5 82.812 (85.042)
Test: [180/286]	Time 0.233 (0.398)	Loss 1.8296 (1.7312)	Prec@1 60.938 (53.889)	Prec@5 81.250 (84.897)
Test: [190/286]	Time 0.228 (0.395)	Loss 2.9204 (1.7523)	Prec@1 16.406 (53.358)	Prec@5 74.219 (84.665)
Test: [200/286]	Time 1.141 (0.397)	Loss 1.8039 (1.7469)	Prec@1 60.156 (53.486)	Prec@5 85.938 (84.667)
Test: [210/286]	Time 0.228 (0.395)	Loss 1.8483 (1.7512)	Prec@1 54.688 (53.336)	Prec@5 85.156 (84.608)
Test: [220/286]	Time 0.238 (0.393)	Loss 2.6932 (1.7560)	Prec@1 26.562 (53.259)	Prec@5 67.188 (84.428)
Test: [230/286]	Time 0.240 (0.391)	Loss 1.2049 (1.7536)	Prec@1 64.844 (53.341)	Prec@5 90.625 (84.412)
Test: [240/286]	Time 1.129 (0.393)	Loss 1.6991 (1.7508)	Prec@1 58.594 (53.443)	Prec@5 86.719 (84.450)
Test: [250/286]	Time 0.306 (0.391)	Loss 1.7945 (1.7400)	Prec@1 49.219 (53.611)	Prec@5 80.469 (84.636)
Test: [260/286]	Time 0.520 (0.391)	Loss 1.6081 (1.7298)	Prec@1 53.125 (53.879)	Prec@5 86.719 (84.785)
Test: [270/286]	Time 0.232 (0.389)	Loss 1.0523 (1.7289)	Prec@1 71.875 (53.947)	Prec@5 93.750 (84.799)
Test: [280/286]	Time 0.603 (0.390)	Loss 1.6700 (1.7153)	Prec@1 61.719 (54.432)	Prec@5 92.969 (84.934)
 * Prec@1 54.518 Prec@5 84.941
Epoch: [79][0/14090]	Time 5.365 (5.365)	Data 4.608 (4.608)	Loss 2.1655 (2.1655)	Prec@1 46.875 (46.875)	Prec@5 75.000 (75.000)
Epoch: [79][10/14090]	Time 0.725 (1.144)	Data 0.001 (0.420)	Loss 1.6492 (1.7812)	Prec@1 55.469 (53.764)	Prec@5 82.031 (81.605)
Epoch: [79][20/14090]	Time 0.724 (0.949)	Data 0.001 (0.220)	Loss 1.8008 (1.7707)	Prec@1 57.031 (53.795)	Prec@5 80.469 (81.845)
Epoch: [79][30/14090]	Time 0.754 (0.880)	Data 0.001 (0.150)	Loss 1.8197 (1.7984)	Prec@1 50.000 (52.974)	Prec@5 82.031 (81.502)
Epoch: [79][40/14090]	Time 0.767 (0.846)	Data 0.001 (0.113)	Loss 1.6688 (1.7819)	Prec@1 60.938 (53.449)	Prec@5 81.250 (81.993)
Epoch: [79][50/14090]	Time 0.758 (0.828)	Data 0.001 (0.091)	Loss 1.6155 (1.7827)	Prec@1 58.594 (53.539)	Prec@5 84.375 (81.970)
Epoch: [79][60/14090]	Time 0.752 (0.815)	Data 0.001 (0.077)	Loss 1.5368 (1.7808)	Prec@1 53.125 (53.445)	Prec@5 85.938 (82.044)
Epoch: [79][70/14090]	Time 0.745 (0.805)	Data 0.002 (0.066)	Loss 1.7101 (1.7698)	Prec@1 57.031 (53.774)	Prec@5 85.156 (82.163)
Epoch: [79][80/14090]	Time 0.736 (0.798)	Data 0.001 (0.058)	Loss 1.8287 (1.7730)	Prec@1 53.125 (53.897)	Prec@5 83.594 (82.051)
Epoch: [79][90/14090]	Time 0.783 (0.793)	Data 0.001 (0.052)	Loss 1.6589 (1.7718)	Prec@1 55.469 (53.941)	Prec@5 83.594 (82.117)
Epoch: [79][100/14090]	Time 0.738 (0.789)	Data 0.001 (0.047)	Loss 1.4640 (1.7781)	Prec@1 60.156 (53.899)	Prec@5 86.719 (82.016)
Epoch: [79][110/14090]	Time 0.787 (0.786)	Data 0.001 (0.043)	Loss 2.0468 (1.7788)	Prec@1 51.562 (53.906)	Prec@5 74.219 (81.996)
Epoch: [79][120/14090]	Time 0.759 (0.783)	Data 0.001 (0.039)	Loss 1.8256 (1.7810)	Prec@1 51.562 (53.738)	Prec@5 80.469 (81.973)
Epoch: [79][130/14090]	Time 0.767 (0.780)	Data 0.001 (0.036)	Loss 1.8550 (1.7822)	Prec@1 52.344 (53.578)	Prec@5 85.938 (82.085)
Epoch: [79][140/14090]	Time 0.748 (0.778)	Data 0.002 (0.034)	Loss 1.7762 (1.7811)	Prec@1 53.125 (53.546)	Prec@5 83.594 (82.092)
Epoch: [79][150/14090]	Time 0.779 (0.776)	Data 0.001 (0.032)	Loss 1.5584 (1.7791)	Prec@1 57.812 (53.466)	Prec@5 87.500 (82.176)
Epoch: [79][160/14090]	Time 0.748 (0.775)	Data 0.001 (0.030)	Loss 1.8305 (1.7802)	Prec@1 52.344 (53.324)	Prec@5 76.562 (82.201)
Epoch: [79][170/14090]	Time 0.730 (0.773)	Data 0.001 (0.028)	Loss 1.8268 (1.7836)	Prec@1 49.219 (53.267)	Prec@5 82.812 (82.209)
Epoch: [79][180/14090]	Time 0.737 (0.772)	Data 0.001 (0.027)	Loss 1.8673 (1.7846)	Prec@1 54.688 (53.358)	Prec@5 78.906 (82.178)
Epoch: [79][190/14090]	Time 0.768 (0.771)	Data 0.001 (0.025)	Loss 1.6585 (1.7823)	Prec@1 54.688 (53.321)	Prec@5 84.375 (82.215)
Epoch: [79][200/14090]	Time 0.759 (0.770)	Data 0.001 (0.024)	Loss 1.4494 (1.7816)	Prec@1 70.312 (53.502)	Prec@5 83.594 (82.179)
Epoch: [79][210/14090]	Time 0.784 (0.770)	Data 0.002 (0.023)	Loss 2.0310 (1.7833)	Prec@1 50.000 (53.455)	Prec@5 78.125 (82.124)
Epoch: [79][220/14090]	Time 0.760 (0.769)	Data 0.001 (0.022)	Loss 1.9613 (1.7867)	Prec@1 49.219 (53.372)	Prec@5 76.562 (82.060)
Epoch: [79][230/14090]	Time 0.746 (0.768)	Data 0.001 (0.021)	Loss 1.8071 (1.7831)	Prec@1 55.469 (53.446)	Prec@5 79.688 (82.106)
Epoch: [79][240/14090]	Time 0.736 (0.767)	Data 0.001 (0.020)	Loss 1.8492 (1.7852)	Prec@1 50.781 (53.375)	Prec@5 78.125 (82.047)
Epoch: [79][250/14090]	Time 0.736 (0.767)	Data 0.001 (0.019)	Loss 1.8691 (1.7860)	Prec@1 54.688 (53.458)	Prec@5 82.031 (82.069)
Epoch: [79][260/14090]	Time 0.747 (0.766)	Data 0.001 (0.019)	Loss 1.9678 (1.7867)	Prec@1 46.094 (53.430)	Prec@5 79.688 (82.076)
Epoch: [79][270/14090]	Time 0.745 (0.766)	Data 0.001 (0.018)	Loss 1.8008 (1.7895)	Prec@1 56.250 (53.338)	Prec@5 81.250 (82.034)
Epoch: [79][280/14090]	Time 0.756 (0.765)	Data 0.002 (0.017)	Loss 2.0991 (1.7908)	Prec@1 47.656 (53.275)	Prec@5 76.562 (82.031)
Epoch: [79][290/14090]	Time 0.757 (0.765)	Data 0.001 (0.017)	Loss 2.0764 (1.7927)	Prec@1 41.406 (53.238)	Prec@5 76.562 (81.999)
Epoch: [79][300/14090]	Time 0.728 (0.764)	Data 0.001 (0.016)	Loss 1.8893 (1.7955)	Prec@1 55.469 (53.161)	Prec@5 81.250 (81.938)
Epoch: [79][310/14090]	Time 0.752 (0.764)	Data 0.001 (0.016)	Loss 1.9714 (1.7966)	Prec@1 48.438 (53.077)	Prec@5 82.031 (81.951)
Epoch: [79][320/14090]	Time 0.760 (0.764)	Data 0.001 (0.015)	Loss 1.5339 (1.7951)	Prec@1 57.812 (53.057)	Prec@5 85.938 (81.975)
Epoch: [79][330/14090]	Time 0.740 (0.763)	Data 0.001 (0.015)	Loss 2.0958 (1.7943)	Prec@1 42.969 (53.066)	Prec@5 76.562 (81.984)
Epoch: [79][340/14090]	Time 0.753 (0.763)	Data 0.001 (0.015)	Loss 1.7275 (1.7955)	Prec@1 53.906 (53.015)	Prec@5 83.594 (81.967)
Epoch: [79][350/14090]	Time 0.754 (0.763)	Data 0.002 (0.014)	Loss 1.7935 (1.7959)	Prec@1 56.250 (52.996)	Prec@5 81.250 (81.987)
Epoch: [79][360/14090]	Time 0.746 (0.762)	Data 0.001 (0.014)	Loss 2.1245 (1.7952)	Prec@1 49.219 (53.060)	Prec@5 74.219 (82.005)
Epoch: [79][370/14090]	Time 0.763 (0.762)	Data 0.001 (0.013)	Loss 1.9222 (1.7958)	Prec@1 51.562 (53.091)	Prec@5 80.469 (81.987)
Epoch: [79][380/14090]	Time 0.758 (0.762)	Data 0.001 (0.013)	Loss 1.8243 (1.7971)	Prec@1 56.250 (53.057)	Prec@5 79.688 (81.970)
Epoch: [79][390/14090]	Time 0.748 (0.761)	Data 0.001 (0.013)	Loss 1.7033 (1.7978)	Prec@1 53.906 (53.013)	Prec@5 87.500 (81.971)
Epoch: [79][400/14090]	Time 0.749 (0.761)	Data 0.001 (0.013)	Loss 1.8034 (1.7967)	Prec@1 54.688 (53.053)	Prec@5 83.594 (82.002)
Epoch: [79][410/14090]	Time 0.744 (0.761)	Data 0.001 (0.012)	Loss 1.6519 (1.7964)	Prec@1 53.125 (53.062)	Prec@5 85.156 (82.026)
Epoch: [79][420/14090]	Time 0.726 (0.760)	Data 0.002 (0.012)	Loss 1.7358 (1.7965)	Prec@1 53.906 (53.053)	Prec@5 82.812 (82.024)
Epoch: [79][430/14090]	Time 0.751 (0.760)	Data 0.001 (0.012)	Loss 1.7892 (1.7954)	Prec@1 56.250 (53.069)	Prec@5 82.031 (82.046)
Epoch: [79][440/14090]	Time 0.745 (0.760)	Data 0.001 (0.011)	Loss 1.6137 (1.7948)	Prec@1 55.469 (53.059)	Prec@5 86.719 (82.072)
Epoch: [79][450/14090]	Time 0.753 (0.760)	Data 0.001 (0.011)	Loss 1.6198 (1.7952)	Prec@1 58.594 (53.061)	Prec@5 89.062 (82.080)
Epoch: [79][460/14090]	Time 0.755 (0.760)	Data 0.001 (0.011)	Loss 1.8741 (1.7935)	Prec@1 50.000 (53.072)	Prec@5 83.594 (82.130)
Epoch: [79][470/14090]	Time 0.740 (0.760)	Data 0.001 (0.011)	Loss 1.9174 (1.7942)	Prec@1 51.562 (53.074)	Prec@5 82.031 (82.132)
Epoch: [79][480/14090]	Time 0.747 (0.759)	Data 0.001 (0.011)	Loss 1.9018 (1.7958)	Prec@1 50.781 (53.034)	Prec@5 80.469 (82.121)
Epoch: [79][490/14090]	Time 0.751 (0.759)	Data 0.002 (0.010)	Loss 1.8491 (1.7950)	Prec@1 53.125 (53.037)	Prec@5 79.688 (82.138)
Epoch: [79][500/14090]	Time 0.761 (0.759)	Data 0.001 (0.010)	Loss 1.7187 (1.7947)	Prec@1 53.906 (53.064)	Prec@5 79.688 (82.122)
Epoch: [79][510/14090]	Time 0.756 (0.759)	Data 0.001 (0.010)	Loss 1.7167 (1.7944)	Prec@1 51.562 (53.056)	Prec@5 85.156 (82.141)
Epoch: [79][520/14090]	Time 0.765 (0.759)	Data 0.001 (0.010)	Loss 1.6246 (1.7947)	Prec@1 50.781 (53.008)	Prec@5 87.500 (82.178)
Epoch: [79][530/14090]	Time 0.726 (0.759)	Data 0.001 (0.010)	Loss 1.7015 (1.7939)	Prec@1 57.812 (53.034)	Prec@5 85.156 (82.178)
Epoch: [79][540/14090]	Time 0.779 (0.759)	Data 0.001 (0.010)	Loss 2.0589 (1.7945)	Prec@1 48.438 (52.985)	Prec@5 76.562 (82.168)
Epoch: [79][550/14090]	Time 0.739 (0.759)	Data 0.001 (0.009)	Loss 2.0751 (1.7949)	Prec@1 47.656 (52.996)	Prec@5 76.562 (82.160)
Epoch: [79][560/14090]	Time 0.755 (0.758)	Data 0.002 (0.009)	Loss 1.6997 (1.7948)	Prec@1 54.688 (53.021)	Prec@5 84.375 (82.155)
Epoch: [79][570/14090]	Time 0.757 (0.759)	Data 0.001 (0.009)	Loss 1.8927 (1.7957)	Prec@1 49.219 (52.995)	Prec@5 80.469 (82.123)
Epoch: [79][580/14090]	Time 0.741 (0.758)	Data 0.001 (0.009)	Loss 1.9445 (1.7947)	Prec@1 54.688 (53.023)	Prec@5 78.906 (82.125)
Epoch: [79][590/14090]	Time 0.742 (0.758)	Data 0.001 (0.009)	Loss 1.8615 (1.7938)	Prec@1 52.344 (53.027)	Prec@5 80.469 (82.122)
Epoch: [79][600/14090]	Time 0.754 (0.758)	Data 0.001 (0.009)	Loss 1.9625 (1.7937)	Prec@1 47.656 (53.011)	Prec@5 79.688 (82.114)
Epoch: [79][610/14090]	Time 0.774 (0.758)	Data 0.001 (0.009)	Loss 1.9608 (1.7932)	Prec@1 45.312 (52.998)	Prec@5 78.906 (82.141)
Epoch: [79][620/14090]	Time 0.724 (0.758)	Data 0.001 (0.008)	Loss 1.8220 (1.7947)	Prec@1 50.000 (52.954)	Prec@5 83.594 (82.134)
Epoch: [79][630/14090]	Time 0.771 (0.758)	Data 0.002 (0.008)	Loss 1.5569 (1.7936)	Prec@1 56.250 (52.988)	Prec@5 85.938 (82.145)
Epoch: [79][640/14090]	Time 0.732 (0.757)	Data 0.001 (0.008)	Loss 1.7628 (1.7945)	Prec@1 53.906 (52.992)	Prec@5 80.469 (82.131)
Epoch: [79][650/14090]	Time 0.742 (0.757)	Data 0.001 (0.008)	Loss 1.5513 (1.7938)	Prec@1 54.688 (53.001)	Prec@5 87.500 (82.152)
Epoch: [79][660/14090]	Time 0.762 (0.757)	Data 0.001 (0.008)	Loss 1.5009 (1.7932)	Prec@1 57.031 (52.987)	Prec@5 86.719 (82.157)
Epoch: [79][670/14090]	Time 0.764 (0.757)	Data 0.001 (0.008)	Loss 1.5712 (1.7933)	Prec@1 55.469 (52.982)	Prec@5 85.156 (82.143)
Epoch: [79][680/14090]	Time 0.742 (0.757)	Data 0.001 (0.008)	Loss 1.9217 (1.7932)	Prec@1 53.125 (52.985)	Prec@5 78.125 (82.154)
Epoch: [79][690/14090]	Time 0.774 (0.757)	Data 0.001 (0.008)	Loss 1.6929 (1.7925)	Prec@1 50.781 (52.984)	Prec@5 81.250 (82.160)
Epoch: [79][700/14090]	Time 0.738 (0.757)	Data 0.002 (0.008)	Loss 1.8142 (1.7941)	Prec@1 52.344 (52.947)	Prec@5 81.250 (82.138)
Epoch: [79][710/14090]	Time 0.768 (0.757)	Data 0.001 (0.008)	Loss 1.7520 (1.7933)	Prec@1 51.562 (52.938)	Prec@5 84.375 (82.158)
Epoch: [79][720/14090]	Time 0.726 (0.757)	Data 0.001 (0.007)	Loss 1.7189 (1.7933)	Prec@1 54.688 (52.944)	Prec@5 85.156 (82.169)
Epoch: [79][730/14090]	Time 0.760 (0.757)	Data 0.001 (0.007)	Loss 1.8215 (1.7936)	Prec@1 54.688 (52.949)	Prec@5 80.469 (82.166)
Epoch: [79][740/14090]	Time 0.732 (0.757)	Data 0.001 (0.007)	Loss 1.4910 (1.7936)	Prec@1 60.156 (52.951)	Prec@5 85.156 (82.146)
Epoch: [79][750/14090]	Time 0.729 (0.757)	Data 0.001 (0.007)	Loss 1.7894 (1.7947)	Prec@1 56.250 (52.913)	Prec@5 80.469 (82.138)
Epoch: [79][760/14090]	Time 0.750 (0.756)	Data 0.001 (0.007)	Loss 1.9938 (1.7954)	Prec@1 50.781 (52.903)	Prec@5 78.906 (82.145)
Epoch: [79][770/14090]	Time 0.773 (0.756)	Data 0.002 (0.007)	Loss 1.8586 (1.7955)	Prec@1 49.219 (52.885)	Prec@5 81.250 (82.145)
Epoch: [79][780/14090]	Time 0.775 (0.756)	Data 0.001 (0.007)	Loss 1.7577 (1.7959)	Prec@1 56.250 (52.866)	Prec@5 81.250 (82.141)
Epoch: [79][790/14090]	Time 0.756 (0.756)	Data 0.001 (0.007)	Loss 1.9094 (1.7954)	Prec@1 55.469 (52.855)	Prec@5 78.906 (82.150)
Epoch: [79][800/14090]	Time 0.728 (0.756)	Data 0.001 (0.007)	Loss 1.7393 (1.7948)	Prec@1 55.469 (52.881)	Prec@5 81.250 (82.146)
Epoch: [79][810/14090]	Time 0.772 (0.756)	Data 0.001 (0.007)	Loss 1.8008 (1.7958)	Prec@1 51.562 (52.849)	Prec@5 82.812 (82.126)
Epoch: [79][820/14090]	Time 0.752 (0.756)	Data 0.001 (0.007)	Loss 1.9411 (1.7962)	Prec@1 46.875 (52.844)	Prec@5 81.250 (82.107)
Epoch: [79][830/14090]	Time 0.781 (0.756)	Data 0.001 (0.007)	Loss 2.1460 (1.7965)	Prec@1 50.000 (52.850)	Prec@5 75.781 (82.098)
Epoch: [79][840/14090]	Time 0.745 (0.756)	Data 0.002 (0.006)	Loss 1.7477 (1.7959)	Prec@1 53.906 (52.872)	Prec@5 85.156 (82.104)
Epoch: [79][850/14090]	Time 0.758 (0.756)	Data 0.001 (0.006)	Loss 1.7209 (1.7956)	Prec@1 53.906 (52.866)	Prec@5 82.812 (82.101)
Epoch: [79][860/14090]	Time 0.765 (0.756)	Data 0.001 (0.006)	Loss 1.7611 (1.7961)	Prec@1 50.781 (52.838)	Prec@5 84.375 (82.117)
Epoch: [79][870/14090]	Time 0.765 (0.756)	Data 0.001 (0.006)	Loss 1.7802 (1.7970)	Prec@1 54.688 (52.822)	Prec@5 79.688 (82.090)
Epoch: [79][880/14090]	Time 0.754 (0.756)	Data 0.001 (0.006)	Loss 1.9300 (1.7970)	Prec@1 47.656 (52.803)	Prec@5 78.125 (82.095)
Epoch: [79][890/14090]	Time 0.733 (0.755)	Data 0.001 (0.006)	Loss 1.7953 (1.7948)	Prec@1 52.344 (52.853)	Prec@5 80.469 (82.131)
Epoch: [79][900/14090]	Time 0.766 (0.756)	Data 0.001 (0.006)	Loss 1.8948 (1.7950)	Prec@1 45.312 (52.841)	Prec@5 78.906 (82.122)
Epoch: [79][910/14090]	Time 0.773 (0.755)	Data 0.002 (0.006)	Loss 1.8673 (1.7951)	Prec@1 51.562 (52.835)	Prec@5 81.250 (82.126)
Epoch: [79][920/14090]	Time 0.751 (0.755)	Data 0.001 (0.006)	Loss 1.5854 (1.7947)	Prec@1 58.594 (52.837)	Prec@5 85.938 (82.134)
Epoch: [79][930/14090]	Time 0.742 (0.755)	Data 0.001 (0.006)	Loss 1.9640 (1.7952)	Prec@1 50.781 (52.825)	Prec@5 80.469 (82.119)
Epoch: [79][940/14090]	Time 0.762 (0.755)	Data 0.001 (0.006)	Loss 1.7703 (1.7957)	Prec@1 53.125 (52.826)	Prec@5 78.125 (82.102)
Epoch: [79][950/14090]	Time 0.731 (0.755)	Data 0.001 (0.006)	Loss 1.8287 (1.7955)	Prec@1 48.438 (52.828)	Prec@5 82.031 (82.093)
Epoch: [79][960/14090]	Time 0.732 (0.755)	Data 0.001 (0.006)	Loss 1.5874 (1.7958)	Prec@1 56.250 (52.821)	Prec@5 85.938 (82.091)
Epoch: [79][970/14090]	Time 0.765 (0.755)	Data 0.001 (0.006)	Loss 1.6294 (1.7960)	Prec@1 60.938 (52.821)	Prec@5 85.156 (82.083)
Epoch: [79][980/14090]	Time 0.741 (0.755)	Data 0.002 (0.006)	Loss 1.6929 (1.7955)	Prec@1 55.469 (52.838)	Prec@5 85.938 (82.100)
Epoch: [79][990/14090]	Time 0.781 (0.755)	Data 0.001 (0.006)	Loss 1.5109 (1.7952)	Prec@1 59.375 (52.860)	Prec@5 88.281 (82.094)
Epoch: [79][1000/14090]	Time 0.734 (0.755)	Data 0.001 (0.006)	Loss 1.7059 (1.7955)	Prec@1 59.375 (52.863)	Prec@5 79.688 (82.090)
Epoch: [79][1010/14090]	Time 0.737 (0.755)	Data 0.001 (0.006)	Loss 1.7336 (1.7956)	Prec@1 52.344 (52.861)	Prec@5 82.812 (82.098)
Epoch: [79][1020/14090]	Time 0.745 (0.755)	Data 0.001 (0.006)	Loss 2.0700 (1.7964)	Prec@1 46.094 (52.850)	Prec@5 77.344 (82.080)
Epoch: [79][1030/14090]	Time 0.738 (0.755)	Data 0.001 (0.005)	Loss 1.9594 (1.7964)	Prec@1 47.656 (52.847)	Prec@5 80.469 (82.083)
Epoch: [79][1040/14090]	Time 0.736 (0.755)	Data 0.001 (0.005)	Loss 1.8821 (1.7964)	Prec@1 53.125 (52.848)	Prec@5 81.250 (82.085)
Epoch: [79][1050/14090]	Time 0.735 (0.755)	Data 0.002 (0.005)	Loss 1.6827 (1.7963)	Prec@1 53.906 (52.851)	Prec@5 81.250 (82.085)
Epoch: [79][1060/14090]	Time 0.754 (0.755)	Data 0.001 (0.005)	Loss 1.7896 (1.7963)	Prec@1 53.125 (52.847)	Prec@5 84.375 (82.088)
Epoch: [79][1070/14090]	Time 0.754 (0.755)	Data 0.001 (0.005)	Loss 1.7575 (1.7965)	Prec@1 57.812 (52.854)	Prec@5 83.594 (82.094)
Epoch: [79][1080/14090]	Time 0.772 (0.754)	Data 0.001 (0.005)	Loss 1.9608 (1.7964)	Prec@1 50.000 (52.862)	Prec@5 78.906 (82.094)
Epoch: [79][1090/14090]	Time 0.740 (0.754)	Data 0.001 (0.005)	Loss 1.9921 (1.7968)	Prec@1 48.438 (52.848)	Prec@5 76.562 (82.081)
Epoch: [79][1100/14090]	Time 0.738 (0.754)	Data 0.001 (0.005)	Loss 1.7116 (1.7963)	Prec@1 53.906 (52.869)	Prec@5 84.375 (82.084)
Epoch: [79][1110/14090]	Time 0.751 (0.754)	Data 0.001 (0.005)	Loss 2.1073 (1.7961)	Prec@1 46.094 (52.863)	Prec@5 79.688 (82.097)
Epoch: [79][1120/14090]	Time 0.732 (0.754)	Data 0.002 (0.005)	Loss 2.0293 (1.7968)	Prec@1 46.094 (52.855)	Prec@5 75.781 (82.079)
Epoch: [79][1130/14090]	Time 0.738 (0.754)	Data 0.001 (0.005)	Loss 1.7382 (1.7967)	Prec@1 56.250 (52.851)	Prec@5 79.688 (82.071)
Epoch: [79][1140/14090]	Time 0.770 (0.754)	Data 0.001 (0.005)	Loss 1.8093 (1.7966)	Prec@1 51.562 (52.847)	Prec@5 84.375 (82.070)
Epoch: [79][1150/14090]	Time 0.745 (0.754)	Data 0.001 (0.005)	Loss 1.9981 (1.7980)	Prec@1 48.438 (52.814)	Prec@5 78.906 (82.051)
Epoch: [79][1160/14090]	Time 0.744 (0.754)	Data 0.001 (0.005)	Loss 1.8168 (1.7977)	Prec@1 54.688 (52.815)	Prec@5 78.125 (82.047)
Epoch: [79][1170/14090]	Time 0.761 (0.754)	Data 0.001 (0.005)	Loss 2.0957 (1.7983)	Prec@1 42.969 (52.807)	Prec@5 78.125 (82.043)
Epoch: [79][1180/14090]	Time 0.745 (0.754)	Data 0.001 (0.005)	Loss 1.6659 (1.7982)	Prec@1 52.344 (52.802)	Prec@5 84.375 (82.047)
Epoch: [79][1190/14090]	Time 0.765 (0.754)	Data 0.002 (0.005)	Loss 1.8539 (1.7989)	Prec@1 57.031 (52.810)	Prec@5 79.688 (82.030)
Epoch: [79][1200/14090]	Time 0.758 (0.754)	Data 0.001 (0.005)	Loss 1.7604 (1.7987)	Prec@1 52.344 (52.812)	Prec@5 81.250 (82.030)
Epoch: [79][1210/14090]	Time 0.750 (0.754)	Data 0.001 (0.005)	Loss 1.9489 (1.7983)	Prec@1 43.750 (52.818)	Prec@5 81.250 (82.036)
Epoch: [79][1220/14090]	Time 0.756 (0.754)	Data 0.001 (0.005)	Loss 1.9691 (1.7987)	Prec@1 43.750 (52.796)	Prec@5 81.250 (82.023)
Epoch: [79][1230/14090]	Time 0.767 (0.754)	Data 0.001 (0.005)	Loss 1.8589 (1.7984)	Prec@1 44.531 (52.795)	Prec@5 83.594 (82.024)
Epoch: [79][1240/14090]	Time 0.779 (0.754)	Data 0.001 (0.005)	Loss 1.8528 (1.7975)	Prec@1 50.781 (52.807)	Prec@5 84.375 (82.041)
Epoch: [79][1250/14090]	Time 0.742 (0.754)	Data 0.001 (0.005)	Loss 1.6173 (1.7972)	Prec@1 53.125 (52.812)	Prec@5 82.812 (82.041)
Epoch: [79][1260/14090]	Time 0.776 (0.754)	Data 0.002 (0.005)	Loss 1.6778 (1.7972)	Prec@1 57.812 (52.813)	Prec@5 85.938 (82.042)
Epoch: [79][1270/14090]	Time 0.737 (0.754)	Data 0.001 (0.005)	Loss 1.8355 (1.7971)	Prec@1 47.656 (52.812)	Prec@5 81.250 (82.050)
Epoch: [79][1280/14090]	Time 0.774 (0.754)	Data 0.001 (0.005)	Loss 1.7301 (1.7970)	Prec@1 55.469 (52.830)	Prec@5 82.031 (82.042)
Epoch: [79][1290/14090]	Time 0.748 (0.753)	Data 0.001 (0.005)	Loss 1.6656 (1.7966)	Prec@1 53.125 (52.845)	Prec@5 85.938 (82.048)
Epoch: [79][1300/14090]	Time 0.754 (0.753)	Data 0.001 (0.005)	Loss 1.6022 (1.7968)	Prec@1 57.031 (52.833)	Prec@5 83.594 (82.043)
Epoch: [79][1310/14090]	Time 0.726 (0.753)	Data 0.001 (0.004)	Loss 1.7106 (1.7966)	Prec@1 54.688 (52.833)	Prec@5 83.594 (82.046)
Epoch: [79][1320/14090]	Time 0.751 (0.753)	Data 0.001 (0.004)	Loss 1.7615 (1.7964)	Prec@1 54.688 (52.836)	Prec@5 84.375 (82.054)
Epoch: [79][1330/14090]	Time 0.758 (0.753)	Data 0.002 (0.004)	Loss 2.0259 (1.7961)	Prec@1 47.656 (52.833)	Prec@5 79.688 (82.072)
Epoch: [79][1340/14090]	Time 0.753 (0.753)	Data 0.001 (0.004)	Loss 2.1295 (1.7965)	Prec@1 50.781 (52.810)	Prec@5 74.219 (82.070)
Epoch: [79][1350/14090]	Time 0.754 (0.753)	Data 0.001 (0.004)	Loss 1.7832 (1.7959)	Prec@1 53.125 (52.819)	Prec@5 82.031 (82.078)
Epoch: [79][1360/14090]	Time 0.737 (0.753)	Data 0.001 (0.004)	Loss 1.7147 (1.7960)	Prec@1 55.469 (52.822)	Prec@5 85.156 (82.071)
Epoch: [79][1370/14090]	Time 0.743 (0.753)	Data 0.001 (0.004)	Loss 2.0680 (1.7959)	Prec@1 51.562 (52.828)	Prec@5 75.000 (82.069)
Epoch: [79][1380/14090]	Time 0.784 (0.753)	Data 0.001 (0.004)	Loss 1.6946 (1.7955)	Prec@1 54.688 (52.839)	Prec@5 86.719 (82.086)
Epoch: [79][1390/14090]	Time 0.783 (0.753)	Data 0.001 (0.004)	Loss 1.9717 (1.7954)	Prec@1 49.219 (52.849)	Prec@5 83.594 (82.084)
Epoch: [79][1400/14090]	Time 0.736 (0.753)	Data 0.002 (0.004)	Loss 1.6370 (1.7956)	Prec@1 53.125 (52.842)	Prec@5 86.719 (82.085)
Epoch: [79][1410/14090]	Time 0.765 (0.753)	Data 0.001 (0.004)	Loss 1.6221 (1.7955)	Prec@1 55.469 (52.850)	Prec@5 83.594 (82.084)
Epoch: [79][1420/14090]	Time 0.771 (0.753)	Data 0.001 (0.004)	Loss 1.9103 (1.7958)	Prec@1 53.125 (52.851)	Prec@5 79.688 (82.074)
Epoch: [79][1430/14090]	Time 0.756 (0.753)	Data 0.001 (0.004)	Loss 1.7315 (1.7960)	Prec@1 50.781 (52.839)	Prec@5 78.125 (82.067)
Epoch: [79][1440/14090]	Time 0.726 (0.753)	Data 0.001 (0.004)	Loss 1.6668 (1.7958)	Prec@1 57.031 (52.836)	Prec@5 86.719 (82.078)
Epoch: [79][1450/14090]	Time 0.758 (0.753)	Data 0.001 (0.004)	Loss 1.9113 (1.7958)	Prec@1 44.531 (52.832)	Prec@5 78.906 (82.073)
Epoch: [79][1460/14090]	Time 0.740 (0.753)	Data 0.001 (0.004)	Loss 1.7830 (1.7962)	Prec@1 51.562 (52.824)	Prec@5 82.031 (82.069)
Epoch: [79][1470/14090]	Time 0.738 (0.753)	Data 0.002 (0.004)	Loss 1.7127 (1.7968)	Prec@1 55.469 (52.810)	Prec@5 82.031 (82.059)
Epoch: [79][1480/14090]	Time 0.758 (0.753)	Data 0.001 (0.004)	Loss 1.9840 (1.7976)	Prec@1 49.219 (52.783)	Prec@5 76.562 (82.046)
Epoch: [79][1490/14090]	Time 0.730 (0.753)	Data 0.001 (0.004)	Loss 1.8996 (1.7979)	Prec@1 50.000 (52.768)	Prec@5 82.812 (82.044)
Epoch: [79][1500/14090]	Time 0.731 (0.753)	Data 0.001 (0.004)	Loss 1.6348 (1.7981)	Prec@1 57.031 (52.759)	Prec@5 83.594 (82.041)
Epoch: [79][1510/14090]	Time 0.728 (0.753)	Data 0.001 (0.004)	Loss 1.5569 (1.7984)	Prec@1 57.812 (52.743)	Prec@5 86.719 (82.041)
Epoch: [79][1520/14090]	Time 0.754 (0.753)	Data 0.001 (0.004)	Loss 1.9052 (1.7988)	Prec@1 43.750 (52.725)	Prec@5 79.688 (82.030)
Epoch: [79][1530/14090]	Time 0.748 (0.753)	Data 0.001 (0.004)	Loss 1.9612 (1.7984)	Prec@1 51.562 (52.732)	Prec@5 77.344 (82.038)
Epoch: [79][1540/14090]	Time 0.756 (0.753)	Data 0.002 (0.004)	Loss 1.9391 (1.7981)	Prec@1 48.438 (52.741)	Prec@5 78.125 (82.044)
Epoch: [79][1550/14090]	Time 0.781 (0.753)	Data 0.001 (0.004)	Loss 1.8040 (1.7979)	Prec@1 50.000 (52.746)	Prec@5 83.594 (82.049)
Epoch: [79][1560/14090]	Time 0.759 (0.753)	Data 0.001 (0.004)	Loss 2.0058 (1.7978)	Prec@1 51.562 (52.755)	Prec@5 77.344 (82.048)
Epoch: [79][1570/14090]	Time 0.738 (0.753)	Data 0.001 (0.004)	Loss 1.7992 (1.7981)	Prec@1 50.781 (52.748)	Prec@5 81.250 (82.041)
Epoch: [79][1580/14090]	Time 0.744 (0.753)	Data 0.001 (0.004)	Loss 1.8838 (1.7980)	Prec@1 43.750 (52.749)	Prec@5 84.375 (82.040)
Epoch: [79][1590/14090]	Time 0.728 (0.753)	Data 0.001 (0.004)	Loss 2.0169 (1.7981)	Prec@1 45.312 (52.754)	Prec@5 78.906 (82.041)
Epoch: [79][1600/14090]	Time 0.742 (0.753)	Data 0.001 (0.004)	Loss 1.5663 (1.7979)	Prec@1 60.156 (52.764)	Prec@5 89.844 (82.043)
Epoch: [79][1610/14090]	Time 0.767 (0.753)	Data 0.002 (0.004)	Loss 1.6539 (1.7977)	Prec@1 53.125 (52.764)	Prec@5 87.500 (82.047)
Epoch: [79][1620/14090]	Time 0.738 (0.753)	Data 0.001 (0.004)	Loss 1.9479 (1.7979)	Prec@1 50.781 (52.760)	Prec@5 77.344 (82.043)
Epoch: [79][1630/14090]	Time 0.758 (0.753)	Data 0.001 (0.004)	Loss 1.8291 (1.7981)	Prec@1 53.125 (52.759)	Prec@5 78.906 (82.034)
Epoch: [79][1640/14090]	Time 0.770 (0.753)	Data 0.001 (0.004)	Loss 1.7083 (1.7978)	Prec@1 53.125 (52.762)	Prec@5 82.031 (82.035)
Epoch: [79][1650/14090]	Time 0.753 (0.753)	Data 0.001 (0.004)	Loss 1.8597 (1.7977)	Prec@1 52.344 (52.763)	Prec@5 85.156 (82.035)
Epoch: [79][1660/14090]	Time 0.759 (0.753)	Data 0.001 (0.004)	Loss 2.0905 (1.7979)	Prec@1 46.875 (52.768)	Prec@5 78.125 (82.031)
Epoch: [79][1670/14090]	Time 0.745 (0.753)	Data 0.001 (0.004)	Loss 2.0056 (1.7985)	Prec@1 43.750 (52.746)	Prec@5 84.375 (82.029)
Epoch: [79][1680/14090]	Time 0.736 (0.753)	Data 0.002 (0.004)	Loss 1.7440 (1.7986)	Prec@1 56.250 (52.737)	Prec@5 82.812 (82.028)
Epoch: [79][1690/14090]	Time 0.747 (0.753)	Data 0.001 (0.004)	Loss 2.0154 (1.7991)	Prec@1 49.219 (52.730)	Prec@5 75.781 (82.022)
Epoch: [79][1700/14090]	Time 0.750 (0.753)	Data 0.001 (0.004)	Loss 2.0629 (1.7990)	Prec@1 44.531 (52.731)	Prec@5 78.125 (82.027)
Epoch: [79][1710/14090]	Time 0.743 (0.753)	Data 0.001 (0.004)	Loss 1.8730 (1.7995)	Prec@1 55.469 (52.724)	Prec@5 82.812 (82.020)
Epoch: [79][1720/14090]	Time 0.754 (0.753)	Data 0.001 (0.004)	Loss 1.9000 (1.7995)	Prec@1 53.125 (52.725)	Prec@5 79.688 (82.017)
Epoch: [79][1730/14090]	Time 0.760 (0.753)	Data 0.001 (0.004)	Loss 1.6893 (1.7997)	Prec@1 55.469 (52.724)	Prec@5 86.719 (82.017)
Epoch: [79][1740/14090]	Time 0.741 (0.753)	Data 0.001 (0.004)	Loss 2.1505 (1.8000)	Prec@1 42.969 (52.720)	Prec@5 76.562 (82.009)
Epoch: [79][1750/14090]	Time 0.728 (0.753)	Data 0.002 (0.004)	Loss 2.0731 (1.8003)	Prec@1 44.531 (52.715)	Prec@5 74.219 (81.999)
Epoch: [79][1760/14090]	Time 0.732 (0.753)	Data 0.001 (0.004)	Loss 2.2804 (1.8004)	Prec@1 40.625 (52.724)	Prec@5 72.656 (81.998)
Epoch: [79][1770/14090]	Time 0.769 (0.753)	Data 0.001 (0.004)	Loss 1.7580 (1.8008)	Prec@1 47.656 (52.715)	Prec@5 85.156 (81.992)
Epoch: [79][1780/14090]	Time 0.757 (0.753)	Data 0.001 (0.004)	Loss 1.8408 (1.8011)	Prec@1 55.469 (52.714)	Prec@5 83.594 (81.980)
Epoch: [79][1790/14090]	Time 0.773 (0.753)	Data 0.001 (0.004)	Loss 1.7753 (1.8012)	Prec@1 58.594 (52.711)	Prec@5 81.250 (81.983)
Epoch: [79][1800/14090]	Time 0.743 (0.753)	Data 0.001 (0.004)	Loss 1.8388 (1.8011)	Prec@1 49.219 (52.709)	Prec@5 80.469 (81.987)
Epoch: [79][1810/14090]	Time 0.743 (0.753)	Data 0.001 (0.004)	Loss 1.6371 (1.8011)	Prec@1 54.688 (52.700)	Prec@5 88.281 (81.995)
Epoch: [79][1820/14090]	Time 0.757 (0.753)	Data 0.002 (0.004)	Loss 1.8719 (1.8011)	Prec@1 55.469 (52.700)	Prec@5 87.500 (81.995)
Epoch: [79][1830/14090]	Time 0.751 (0.753)	Data 0.001 (0.003)	Loss 1.7722 (1.8013)	Prec@1 52.344 (52.693)	Prec@5 82.031 (81.991)
Epoch: [79][1840/14090]	Time 0.754 (0.753)	Data 0.001 (0.003)	Loss 1.9055 (1.8016)	Prec@1 48.438 (52.683)	Prec@5 82.812 (81.990)
Epoch: [79][1850/14090]	Time 0.758 (0.753)	Data 0.001 (0.003)	Loss 1.7616 (1.8017)	Prec@1 56.250 (52.686)	Prec@5 78.906 (81.981)
Epoch: [79][1860/14090]	Time 0.731 (0.753)	Data 0.001 (0.003)	Loss 1.4789 (1.8018)	Prec@1 57.812 (52.684)	Prec@5 88.281 (81.981)
Epoch: [79][1870/14090]	Time 0.770 (0.753)	Data 0.001 (0.003)	Loss 1.7501 (1.8014)	Prec@1 56.250 (52.685)	Prec@5 82.031 (81.987)
Epoch: [79][1880/14090]	Time 0.735 (0.753)	Data 0.001 (0.003)	Loss 1.7186 (1.8015)	Prec@1 58.594 (52.691)	Prec@5 82.031 (81.985)
Epoch: [79][1890/14090]	Time 0.739 (0.753)	Data 0.002 (0.003)	Loss 1.7571 (1.8018)	Prec@1 48.438 (52.685)	Prec@5 85.156 (81.979)
Epoch: [79][1900/14090]	Time 0.739 (0.753)	Data 0.001 (0.003)	Loss 1.6214 (1.8021)	Prec@1 60.156 (52.678)	Prec@5 85.156 (81.974)
Epoch: [79][1910/14090]	Time 0.735 (0.753)	Data 0.001 (0.003)	Loss 1.6126 (1.8021)	Prec@1 56.250 (52.674)	Prec@5 86.719 (81.975)
Epoch: [79][1920/14090]	Time 0.759 (0.753)	Data 0.001 (0.003)	Loss 1.6586 (1.8019)	Prec@1 60.938 (52.691)	Prec@5 83.594 (81.979)
Epoch: [79][1930/14090]	Time 0.740 (0.753)	Data 0.001 (0.003)	Loss 1.7398 (1.8016)	Prec@1 56.250 (52.698)	Prec@5 81.250 (81.981)
Epoch: [79][1940/14090]	Time 0.764 (0.752)	Data 0.001 (0.003)	Loss 1.8957 (1.8017)	Prec@1 50.000 (52.700)	Prec@5 78.906 (81.980)
Epoch: [79][1950/14090]	Time 0.739 (0.752)	Data 0.001 (0.003)	Loss 1.6432 (1.8016)	Prec@1 52.344 (52.707)	Prec@5 83.594 (81.982)
Epoch: [79][1960/14090]	Time 0.755 (0.752)	Data 0.002 (0.003)	Loss 1.8546 (1.8019)	Prec@1 54.688 (52.703)	Prec@5 78.125 (81.975)
Epoch: [79][1970/14090]	Time 0.757 (0.752)	Data 0.001 (0.003)	Loss 1.5896 (1.8017)	Prec@1 62.500 (52.708)	Prec@5 84.375 (81.972)
Epoch: [79][1980/14090]	Time 0.722 (0.752)	Data 0.001 (0.003)	Loss 1.6888 (1.8016)	Prec@1 56.250 (52.710)	Prec@5 86.719 (81.976)
Epoch: [79][1990/14090]	Time 0.726 (0.752)	Data 0.001 (0.003)	Loss 1.8020 (1.8021)	Prec@1 51.562 (52.708)	Prec@5 81.250 (81.966)
Epoch: [79][2000/14090]	Time 0.759 (0.752)	Data 0.001 (0.003)	Loss 1.8301 (1.8018)	Prec@1 52.344 (52.712)	Prec@5 81.250 (81.966)
Epoch: [79][2010/14090]	Time 0.762 (0.752)	Data 0.001 (0.003)	Loss 1.5794 (1.8017)	Prec@1 54.688 (52.717)	Prec@5 88.281 (81.969)
Epoch: [79][2020/14090]	Time 0.734 (0.752)	Data 0.001 (0.003)	Loss 1.9127 (1.8019)	Prec@1 48.438 (52.712)	Prec@5 80.469 (81.969)
Epoch: [79][2030/14090]	Time 0.752 (0.752)	Data 0.002 (0.003)	Loss 1.8380 (1.8020)	Prec@1 50.781 (52.711)	Prec@5 77.344 (81.963)
Epoch: [79][2040/14090]	Time 0.751 (0.752)	Data 0.001 (0.003)	Loss 1.7347 (1.8016)	Prec@1 57.031 (52.713)	Prec@5 82.031 (81.965)
Epoch: [79][2050/14090]	Time 0.756 (0.752)	Data 0.001 (0.003)	Loss 1.7855 (1.8016)	Prec@1 53.906 (52.716)	Prec@5 82.031 (81.960)
Epoch: [79][2060/14090]	Time 0.743 (0.752)	Data 0.001 (0.003)	Loss 1.9320 (1.8014)	Prec@1 52.344 (52.717)	Prec@5 78.906 (81.969)
Epoch: [79][2070/14090]	Time 0.787 (0.752)	Data 0.001 (0.003)	Loss 1.6870 (1.8016)	Prec@1 57.812 (52.714)	Prec@5 82.031 (81.964)
Epoch: [79][2080/14090]	Time 0.728 (0.752)	Data 0.001 (0.003)	Loss 1.9453 (1.8015)	Prec@1 48.438 (52.712)	Prec@5 78.906 (81.964)
Epoch: [79][2090/14090]	Time 0.763 (0.752)	Data 0.001 (0.003)	Loss 1.8710 (1.8013)	Prec@1 54.688 (52.711)	Prec@5 78.125 (81.962)
Epoch: [79][2100/14090]	Time 0.753 (0.752)	Data 0.002 (0.003)	Loss 1.7815 (1.8007)	Prec@1 51.562 (52.729)	Prec@5 83.594 (81.970)
Epoch: [79][2110/14090]	Time 0.747 (0.752)	Data 0.001 (0.003)	Loss 1.7094 (1.8007)	Prec@1 55.469 (52.739)	Prec@5 82.031 (81.970)
Epoch: [79][2120/14090]	Time 0.728 (0.752)	Data 0.001 (0.003)	Loss 1.6615 (1.8008)	Prec@1 55.469 (52.739)	Prec@5 85.938 (81.966)
Epoch: [79][2130/14090]	Time 0.780 (0.752)	Data 0.001 (0.003)	Loss 1.8046 (1.8013)	Prec@1 51.562 (52.728)	Prec@5 83.594 (81.958)
Epoch: [79][2140/14090]	Time 0.727 (0.752)	Data 0.001 (0.003)	Loss 1.7894 (1.8009)	Prec@1 51.562 (52.734)	Prec@5 81.250 (81.966)
Epoch: [79][2150/14090]	Time 0.744 (0.752)	Data 0.001 (0.003)	Loss 1.8703 (1.8012)	Prec@1 53.125 (52.732)	Prec@5 79.688 (81.958)
Epoch: [79][2160/14090]	Time 0.743 (0.752)	Data 0.001 (0.003)	Loss 1.7535 (1.8010)	Prec@1 51.562 (52.732)	Prec@5 84.375 (81.963)
Epoch: [79][2170/14090]	Time 0.736 (0.752)	Data 0.002 (0.003)	Loss 1.7049 (1.8009)	Prec@1 50.781 (52.736)	Prec@5 85.156 (81.962)
Epoch: [79][2180/14090]	Time 0.761 (0.752)	Data 0.001 (0.003)	Loss 1.6266 (1.8008)	Prec@1 55.469 (52.740)	Prec@5 86.719 (81.967)
Epoch: [79][2190/14090]	Time 0.761 (0.752)	Data 0.001 (0.003)	Loss 1.8264 (1.8008)	Prec@1 50.781 (52.742)	Prec@5 78.125 (81.964)
Epoch: [79][2200/14090]	Time 0.750 (0.752)	Data 0.001 (0.003)	Loss 1.9514 (1.8010)	Prec@1 52.344 (52.730)	Prec@5 81.250 (81.956)
Epoch: [79][2210/14090]	Time 0.741 (0.752)	Data 0.001 (0.003)	Loss 1.9414 (1.8009)	Prec@1 52.344 (52.731)	Prec@5 76.562 (81.960)
Epoch: [79][2220/14090]	Time 0.746 (0.752)	Data 0.001 (0.003)	Loss 1.6169 (1.8008)	Prec@1 55.469 (52.733)	Prec@5 83.594 (81.961)
Epoch: [79][2230/14090]	Time 0.769 (0.752)	Data 0.001 (0.003)	Loss 1.8682 (1.8009)	Prec@1 50.000 (52.734)	Prec@5 81.250 (81.958)
Epoch: [79][2240/14090]	Time 0.741 (0.752)	Data 0.005 (0.003)	Loss 1.9096 (1.8009)	Prec@1 53.125 (52.735)	Prec@5 79.688 (81.953)
Epoch: [79][2250/14090]	Time 0.786 (0.752)	Data 0.001 (0.003)	Loss 2.0897 (1.8011)	Prec@1 51.562 (52.727)	Prec@5 76.562 (81.954)
Epoch: [79][2260/14090]	Time 0.734 (0.752)	Data 0.001 (0.003)	Loss 1.7865 (1.8015)	Prec@1 52.344 (52.721)	Prec@5 84.375 (81.950)
Epoch: [79][2270/14090]	Time 0.760 (0.752)	Data 0.001 (0.003)	Loss 2.0311 (1.8020)	Prec@1 52.344 (52.715)	Prec@5 80.469 (81.942)
Epoch: [79][2280/14090]	Time 0.733 (0.752)	Data 0.001 (0.003)	Loss 1.5419 (1.8018)	Prec@1 57.812 (52.718)	Prec@5 82.812 (81.946)
Epoch: [79][2290/14090]	Time 0.751 (0.752)	Data 0.001 (0.003)	Loss 1.9962 (1.8021)	Prec@1 45.312 (52.715)	Prec@5 81.250 (81.945)
Epoch: [79][2300/14090]	Time 0.746 (0.752)	Data 0.001 (0.003)	Loss 2.1642 (1.8022)	Prec@1 44.531 (52.716)	Prec@5 76.562 (81.942)
Epoch: [79][2310/14090]	Time 0.751 (0.752)	Data 0.002 (0.003)	Loss 1.8386 (1.8021)	Prec@1 52.344 (52.709)	Prec@5 82.031 (81.945)
Epoch: [79][2320/14090]	Time 0.735 (0.752)	Data 0.001 (0.003)	Loss 1.6066 (1.8021)	Prec@1 57.812 (52.711)	Prec@5 85.938 (81.947)
Epoch: [79][2330/14090]	Time 0.767 (0.752)	Data 0.001 (0.003)	Loss 2.0137 (1.8021)	Prec@1 50.781 (52.711)	Prec@5 78.125 (81.946)
Epoch: [79][2340/14090]	Time 0.750 (0.752)	Data 0.001 (0.003)	Loss 1.7468 (1.8021)	Prec@1 54.688 (52.717)	Prec@5 85.156 (81.946)
Epoch: [79][2350/14090]	Time 0.751 (0.752)	Data 0.001 (0.003)	Loss 1.6367 (1.8018)	Prec@1 58.594 (52.730)	Prec@5 84.375 (81.953)
Epoch: [79][2360/14090]	Time 0.752 (0.752)	Data 0.001 (0.003)	Loss 1.9567 (1.8020)	Prec@1 49.219 (52.723)	Prec@5 79.688 (81.952)
Epoch: [79][2370/14090]	Time 0.750 (0.752)	Data 0.001 (0.003)	Loss 1.8728 (1.8020)	Prec@1 56.250 (52.721)	Prec@5 77.344 (81.949)
Epoch: [79][2380/14090]	Time 0.744 (0.752)	Data 0.002 (0.003)	Loss 1.9102 (1.8016)	Prec@1 49.219 (52.727)	Prec@5 82.031 (81.953)
Epoch: [79][2390/14090]	Time 0.741 (0.752)	Data 0.001 (0.003)	Loss 1.7175 (1.8017)	Prec@1 53.906 (52.730)	Prec@5 84.375 (81.950)
Epoch: [79][2400/14090]	Time 0.754 (0.752)	Data 0.001 (0.003)	Loss 1.5719 (1.8015)	Prec@1 59.375 (52.735)	Prec@5 85.938 (81.953)
Epoch: [79][2410/14090]	Time 0.779 (0.752)	Data 0.001 (0.003)	Loss 1.9455 (1.8015)	Prec@1 50.000 (52.730)	Prec@5 75.000 (81.948)
Epoch: [79][2420/14090]	Time 0.748 (0.752)	Data 0.001 (0.003)	Loss 1.8204 (1.8013)	Prec@1 51.562 (52.733)	Prec@5 82.031 (81.951)
Epoch: [79][2430/14090]	Time 0.738 (0.752)	Data 0.001 (0.003)	Loss 1.6736 (1.8009)	Prec@1 53.906 (52.741)	Prec@5 85.156 (81.959)
Epoch: [79][2440/14090]	Time 0.781 (0.752)	Data 0.001 (0.003)	Loss 1.6457 (1.8012)	Prec@1 55.469 (52.735)	Prec@5 83.594 (81.957)
Epoch: [79][2450/14090]	Time 0.725 (0.752)	Data 0.002 (0.003)	Loss 1.8889 (1.8012)	Prec@1 53.125 (52.730)	Prec@5 79.688 (81.953)
Epoch: [79][2460/14090]	Time 0.757 (0.752)	Data 0.001 (0.003)	Loss 1.9512 (1.8013)	Prec@1 39.062 (52.715)	Prec@5 83.594 (81.953)
Epoch: [79][2470/14090]	Time 0.738 (0.752)	Data 0.001 (0.003)	Loss 1.7130 (1.8012)	Prec@1 52.344 (52.713)	Prec@5 82.031 (81.956)
Epoch: [79][2480/14090]	Time 0.748 (0.752)	Data 0.001 (0.003)	Loss 1.7832 (1.8013)	Prec@1 56.250 (52.717)	Prec@5 82.031 (81.957)
Epoch: [79][2490/14090]	Time 0.745 (0.752)	Data 0.001 (0.003)	Loss 2.1651 (1.8013)	Prec@1 47.656 (52.709)	Prec@5 75.000 (81.957)
Epoch: [79][2500/14090]	Time 0.749 (0.752)	Data 0.001 (0.003)	Loss 1.6408 (1.8011)	Prec@1 57.031 (52.707)	Prec@5 82.031 (81.956)
Epoch: [79][2510/14090]	Time 0.742 (0.752)	Data 0.001 (0.003)	Loss 1.8973 (1.8010)	Prec@1 49.219 (52.715)	Prec@5 78.125 (81.957)
Epoch: [79][2520/14090]	Time 0.745 (0.752)	Data 0.002 (0.003)	Loss 2.0292 (1.8011)	Prec@1 47.656 (52.713)	Prec@5 78.906 (81.958)
Epoch: [79][2530/14090]	Time 0.768 (0.752)	Data 0.001 (0.003)	Loss 1.7580 (1.8006)	Prec@1 55.469 (52.728)	Prec@5 80.469 (81.967)
Epoch: [79][2540/14090]	Time 0.742 (0.752)	Data 0.001 (0.003)	Loss 1.9021 (1.8005)	Prec@1 53.125 (52.736)	Prec@5 82.031 (81.969)
Epoch: [79][2550/14090]	Time 0.744 (0.752)	Data 0.001 (0.003)	Loss 1.9559 (1.8005)	Prec@1 54.688 (52.735)	Prec@5 80.469 (81.968)
Epoch: [79][2560/14090]	Time 0.755 (0.752)	Data 0.001 (0.003)	Loss 1.5021 (1.8006)	Prec@1 58.594 (52.736)	Prec@5 85.938 (81.966)
Epoch: [79][2570/14090]	Time 0.761 (0.752)	Data 0.001 (0.003)	Loss 2.0880 (1.8006)	Prec@1 49.219 (52.734)	Prec@5 76.562 (81.966)
Epoch: [79][2580/14090]	Time 0.759 (0.752)	Data 0.001 (0.003)	Loss 1.7484 (1.8007)	Prec@1 53.906 (52.736)	Prec@5 82.031 (81.966)
Epoch: [79][2590/14090]	Time 0.728 (0.752)	Data 0.002 (0.003)	Loss 2.1306 (1.8008)	Prec@1 48.438 (52.736)	Prec@5 76.562 (81.966)
Epoch: [79][2600/14090]	Time 0.729 (0.752)	Data 0.001 (0.003)	Loss 1.8724 (1.8011)	Prec@1 49.219 (52.737)	Prec@5 79.688 (81.959)
Epoch: [79][2610/14090]	Time 0.732 (0.752)	Data 0.001 (0.003)	Loss 1.8398 (1.8014)	Prec@1 51.562 (52.732)	Prec@5 81.250 (81.954)
Epoch: [79][2620/14090]	Time 0.734 (0.752)	Data 0.001 (0.003)	Loss 2.1030 (1.8018)	Prec@1 45.312 (52.717)	Prec@5 75.000 (81.948)
Epoch: [79][2630/14090]	Time 0.746 (0.752)	Data 0.001 (0.003)	Loss 1.9157 (1.8016)	Prec@1 51.562 (52.723)	Prec@5 80.469 (81.949)
Epoch: [79][2640/14090]	Time 0.728 (0.752)	Data 0.001 (0.003)	Loss 1.8996 (1.8018)	Prec@1 50.000 (52.722)	Prec@5 80.469 (81.948)
Epoch: [79][2650/14090]	Time 0.735 (0.752)	Data 0.001 (0.003)	Loss 1.6335 (1.8021)	Prec@1 57.031 (52.720)	Prec@5 82.812 (81.938)
Epoch: [79][2660/14090]	Time 0.753 (0.752)	Data 0.002 (0.003)	Loss 1.5918 (1.8021)	Prec@1 53.125 (52.723)	Prec@5 80.469 (81.937)
Epoch: [79][2670/14090]	Time 0.734 (0.752)	Data 0.001 (0.003)	Loss 1.8777 (1.8022)	Prec@1 50.781 (52.722)	Prec@5 82.031 (81.937)
Epoch: [79][2680/14090]	Time 0.742 (0.752)	Data 0.001 (0.003)	Loss 1.9512 (1.8021)	Prec@1 47.656 (52.720)	Prec@5 71.875 (81.937)
Epoch: [79][2690/14090]	Time 0.749 (0.752)	Data 0.001 (0.003)	Loss 1.7345 (1.8022)	Prec@1 50.781 (52.717)	Prec@5 82.812 (81.935)
Epoch: [79][2700/14090]	Time 0.761 (0.752)	Data 0.001 (0.003)	Loss 1.9997 (1.8024)	Prec@1 51.562 (52.714)	Prec@5 76.562 (81.933)
Epoch: [79][2710/14090]	Time 0.749 (0.752)	Data 0.001 (0.003)	Loss 1.6489 (1.8025)	Prec@1 57.031 (52.712)	Prec@5 84.375 (81.930)
Epoch: [79][2720/14090]	Time 0.732 (0.752)	Data 0.001 (0.003)	Loss 1.6148 (1.8024)	Prec@1 58.594 (52.718)	Prec@5 83.594 (81.933)
Epoch: [79][2730/14090]	Time 0.729 (0.752)	Data 0.002 (0.003)	Loss 1.9874 (1.8025)	Prec@1 45.312 (52.718)	Prec@5 78.906 (81.931)
Epoch: [79][2740/14090]	Time 0.729 (0.752)	Data 0.001 (0.003)	Loss 1.6396 (1.8026)	Prec@1 55.469 (52.713)	Prec@5 83.594 (81.933)
Epoch: [79][2750/14090]	Time 0.743 (0.752)	Data 0.001 (0.003)	Loss 1.9376 (1.8026)	Prec@1 46.875 (52.716)	Prec@5 80.469 (81.936)
Epoch: [79][2760/14090]	Time 0.762 (0.752)	Data 0.001 (0.003)	Loss 1.6587 (1.8025)	Prec@1 55.469 (52.715)	Prec@5 84.375 (81.942)
Epoch: [79][2770/14090]	Time 0.785 (0.752)	Data 0.001 (0.003)	Loss 1.7188 (1.8022)	Prec@1 58.594 (52.721)	Prec@5 85.938 (81.946)
Epoch: [79][2780/14090]	Time 0.749 (0.752)	Data 0.001 (0.003)	Loss 2.2185 (1.8025)	Prec@1 44.531 (52.715)	Prec@5 73.438 (81.944)
Epoch: [79][2790/14090]	Time 0.756 (0.752)	Data 0.001 (0.003)	Loss 1.8328 (1.8023)	Prec@1 49.219 (52.718)	Prec@5 80.469 (81.947)
Epoch: [79][2800/14090]	Time 0.755 (0.752)	Data 0.002 (0.003)	Loss 1.7310 (1.8024)	Prec@1 51.562 (52.715)	Prec@5 83.594 (81.945)
Epoch: [79][2810/14090]	Time 0.732 (0.752)	Data 0.001 (0.003)	Loss 1.7790 (1.8025)	Prec@1 53.125 (52.713)	Prec@5 82.031 (81.944)
Epoch: [79][2820/14090]	Time 0.758 (0.752)	Data 0.001 (0.003)	Loss 1.7096 (1.8025)	Prec@1 54.688 (52.710)	Prec@5 85.156 (81.948)
Epoch: [79][2830/14090]	Time 0.753 (0.752)	Data 0.001 (0.003)	Loss 1.7659 (1.8025)	Prec@1 52.344 (52.715)	Prec@5 86.719 (81.952)
Epoch: [79][2840/14090]	Time 0.726 (0.752)	Data 0.001 (0.003)	Loss 1.5021 (1.8025)	Prec@1 58.594 (52.713)	Prec@5 86.719 (81.950)
Epoch: [79][2850/14090]	Time 0.736 (0.752)	Data 0.001 (0.003)	Loss 1.8034 (1.8025)	Prec@1 58.594 (52.714)	Prec@5 80.469 (81.953)
Epoch: [79][2860/14090]	Time 0.745 (0.752)	Data 0.001 (0.003)	Loss 1.6228 (1.8024)	Prec@1 53.125 (52.709)	Prec@5 84.375 (81.956)
Epoch: [79][2870/14090]	Time 0.753 (0.752)	Data 0.002 (0.003)	Loss 1.7915 (1.8023)	Prec@1 55.469 (52.713)	Prec@5 81.250 (81.958)
Epoch: [79][2880/14090]	Time 0.767 (0.752)	Data 0.001 (0.003)	Loss 1.9242 (1.8023)	Prec@1 47.656 (52.711)	Prec@5 81.250 (81.958)
Epoch: [79][2890/14090]	Time 0.746 (0.752)	Data 0.001 (0.003)	Loss 1.6047 (1.8021)	Prec@1 53.125 (52.721)	Prec@5 85.938 (81.961)
Epoch: [79][2900/14090]	Time 0.767 (0.752)	Data 0.001 (0.003)	Loss 1.6542 (1.8018)	Prec@1 53.125 (52.726)	Prec@5 85.156 (81.968)
Epoch: [79][2910/14090]	Time 0.732 (0.752)	Data 0.001 (0.003)	Loss 2.2349 (1.8020)	Prec@1 48.438 (52.721)	Prec@5 77.344 (81.966)
Epoch: [79][2920/14090]	Time 0.755 (0.752)	Data 0.001 (0.003)	Loss 1.8916 (1.8021)	Prec@1 45.312 (52.718)	Prec@5 81.250 (81.965)
Epoch: [79][2930/14090]	Time 0.779 (0.752)	Data 0.001 (0.003)	Loss 2.0937 (1.8023)	Prec@1 50.781 (52.717)	Prec@5 78.125 (81.966)
Epoch: [79][2940/14090]	Time 0.783 (0.752)	Data 0.002 (0.003)	Loss 2.1104 (1.8023)	Prec@1 48.438 (52.720)	Prec@5 75.781 (81.963)
Epoch: [79][2950/14090]	Time 0.744 (0.752)	Data 0.001 (0.003)	Loss 1.6522 (1.8023)	Prec@1 56.250 (52.722)	Prec@5 81.250 (81.962)
Epoch: [79][2960/14090]	Time 0.752 (0.752)	Data 0.001 (0.003)	Loss 1.8048 (1.8024)	Prec@1 44.531 (52.710)	Prec@5 84.375 (81.964)
Epoch: [79][2970/14090]	Time 0.752 (0.752)	Data 0.001 (0.003)	Loss 1.7361 (1.8025)	Prec@1 56.250 (52.713)	Prec@5 85.156 (81.961)
Epoch: [79][2980/14090]	Time 0.754 (0.752)	Data 0.001 (0.003)	Loss 1.6192 (1.8022)	Prec@1 58.594 (52.716)	Prec@5 87.500 (81.967)
Epoch: [79][2990/14090]	Time 0.760 (0.752)	Data 0.001 (0.003)	Loss 1.8820 (1.8022)	Prec@1 46.875 (52.718)	Prec@5 82.031 (81.966)
Epoch: [79][3000/14090]	Time 0.741 (0.752)	Data 0.001 (0.003)	Loss 1.7929 (1.8019)	Prec@1 49.219 (52.725)	Prec@5 84.375 (81.967)
Epoch: [79][3010/14090]	Time 0.785 (0.751)	Data 0.002 (0.003)	Loss 1.9100 (1.8018)	Prec@1 43.750 (52.724)	Prec@5 76.562 (81.969)
Epoch: [79][3020/14090]	Time 0.764 (0.751)	Data 0.001 (0.002)	Loss 2.0038 (1.8019)	Prec@1 46.875 (52.722)	Prec@5 78.906 (81.967)
Epoch: [79][3030/14090]	Time 0.784 (0.751)	Data 0.001 (0.002)	Loss 1.8964 (1.8017)	Prec@1 49.219 (52.725)	Prec@5 75.000 (81.971)
Epoch: [79][3040/14090]	Time 0.764 (0.751)	Data 0.001 (0.002)	Loss 1.8178 (1.8018)	Prec@1 53.125 (52.728)	Prec@5 77.344 (81.967)
Epoch: [79][3050/14090]	Time 0.764 (0.751)	Data 0.001 (0.002)	Loss 1.7463 (1.8016)	Prec@1 55.469 (52.730)	Prec@5 82.031 (81.967)
Epoch: [79][3060/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 1.8983 (1.8015)	Prec@1 57.812 (52.733)	Prec@5 75.781 (81.965)
Epoch: [79][3070/14090]	Time 0.751 (0.751)	Data 0.001 (0.002)	Loss 1.7019 (1.8013)	Prec@1 52.344 (52.736)	Prec@5 82.812 (81.974)
Epoch: [79][3080/14090]	Time 0.752 (0.751)	Data 0.002 (0.002)	Loss 2.0086 (1.8012)	Prec@1 50.000 (52.736)	Prec@5 77.344 (81.975)
Epoch: [79][3090/14090]	Time 0.752 (0.751)	Data 0.001 (0.002)	Loss 2.1257 (1.8012)	Prec@1 47.656 (52.733)	Prec@5 77.344 (81.972)
Epoch: [79][3100/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 2.0367 (1.8013)	Prec@1 48.438 (52.732)	Prec@5 78.906 (81.969)
Epoch: [79][3110/14090]	Time 0.753 (0.751)	Data 0.001 (0.002)	Loss 1.9308 (1.8012)	Prec@1 53.906 (52.732)	Prec@5 79.688 (81.973)
Epoch: [79][3120/14090]	Time 0.781 (0.751)	Data 0.001 (0.002)	Loss 2.0599 (1.8015)	Prec@1 43.750 (52.726)	Prec@5 78.125 (81.972)
Epoch: [79][3130/14090]	Time 0.748 (0.751)	Data 0.001 (0.002)	Loss 1.5846 (1.8016)	Prec@1 57.812 (52.723)	Prec@5 85.938 (81.971)
Epoch: [79][3140/14090]	Time 0.750 (0.751)	Data 0.001 (0.002)	Loss 1.7901 (1.8015)	Prec@1 55.469 (52.728)	Prec@5 80.469 (81.970)
Epoch: [79][3150/14090]	Time 0.737 (0.751)	Data 0.002 (0.002)	Loss 1.5421 (1.8013)	Prec@1 60.938 (52.736)	Prec@5 85.938 (81.975)
Epoch: [79][3160/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 1.6898 (1.8015)	Prec@1 57.031 (52.736)	Prec@5 82.812 (81.971)
Epoch: [79][3170/14090]	Time 0.727 (0.751)	Data 0.001 (0.002)	Loss 1.5823 (1.8015)	Prec@1 55.469 (52.737)	Prec@5 85.156 (81.968)
Epoch: [79][3180/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 2.0604 (1.8018)	Prec@1 46.875 (52.731)	Prec@5 78.906 (81.962)
Epoch: [79][3190/14090]	Time 0.751 (0.751)	Data 0.002 (0.002)	Loss 1.9002 (1.8020)	Prec@1 57.031 (52.727)	Prec@5 80.469 (81.960)
Epoch: [79][3200/14090]	Time 0.770 (0.751)	Data 0.001 (0.002)	Loss 1.6532 (1.8019)	Prec@1 53.125 (52.732)	Prec@5 77.344 (81.960)
Epoch: [79][3210/14090]	Time 0.753 (0.751)	Data 0.001 (0.002)	Loss 2.2507 (1.8018)	Prec@1 43.750 (52.727)	Prec@5 77.344 (81.961)
Epoch: [79][3220/14090]	Time 0.727 (0.751)	Data 0.002 (0.002)	Loss 1.6620 (1.8019)	Prec@1 60.156 (52.725)	Prec@5 82.812 (81.960)
Epoch: [79][3230/14090]	Time 0.742 (0.751)	Data 0.001 (0.002)	Loss 1.8076 (1.8020)	Prec@1 51.562 (52.723)	Prec@5 86.719 (81.960)
Epoch: [79][3240/14090]	Time 0.753 (0.751)	Data 0.001 (0.002)	Loss 1.6491 (1.8022)	Prec@1 50.000 (52.718)	Prec@5 85.938 (81.958)
Epoch: [79][3250/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 1.6724 (1.8021)	Prec@1 60.156 (52.717)	Prec@5 85.938 (81.962)
Epoch: [79][3260/14090]	Time 0.771 (0.751)	Data 0.001 (0.002)	Loss 1.7328 (1.8020)	Prec@1 52.344 (52.720)	Prec@5 82.031 (81.967)
Epoch: [79][3270/14090]	Time 0.742 (0.751)	Data 0.001 (0.002)	Loss 2.1463 (1.8023)	Prec@1 43.750 (52.712)	Prec@5 75.781 (81.962)
Epoch: [79][3280/14090]	Time 0.741 (0.751)	Data 0.001 (0.002)	Loss 1.6356 (1.8025)	Prec@1 50.781 (52.705)	Prec@5 89.062 (81.963)
Epoch: [79][3290/14090]	Time 0.731 (0.751)	Data 0.002 (0.002)	Loss 1.7805 (1.8025)	Prec@1 53.125 (52.707)	Prec@5 82.812 (81.965)
Epoch: [79][3300/14090]	Time 0.758 (0.751)	Data 0.001 (0.002)	Loss 1.8914 (1.8024)	Prec@1 52.344 (52.711)	Prec@5 77.344 (81.966)
Epoch: [79][3310/14090]	Time 0.765 (0.751)	Data 0.001 (0.002)	Loss 1.6897 (1.8024)	Prec@1 57.031 (52.710)	Prec@5 84.375 (81.966)
Epoch: [79][3320/14090]	Time 0.758 (0.751)	Data 0.001 (0.002)	Loss 1.5720 (1.8022)	Prec@1 56.250 (52.711)	Prec@5 87.500 (81.969)
Epoch: [79][3330/14090]	Time 0.760 (0.751)	Data 0.001 (0.002)	Loss 1.4488 (1.8019)	Prec@1 57.812 (52.716)	Prec@5 91.406 (81.975)
Epoch: [79][3340/14090]	Time 0.740 (0.751)	Data 0.001 (0.002)	Loss 1.6668 (1.8016)	Prec@1 54.688 (52.722)	Prec@5 82.812 (81.979)
Epoch: [79][3350/14090]	Time 0.733 (0.751)	Data 0.001 (0.002)	Loss 1.7002 (1.8017)	Prec@1 53.125 (52.717)	Prec@5 83.594 (81.975)
Epoch: [79][3360/14090]	Time 0.752 (0.751)	Data 0.002 (0.002)	Loss 1.5663 (1.8016)	Prec@1 61.719 (52.721)	Prec@5 83.594 (81.974)
Epoch: [79][3370/14090]	Time 0.731 (0.751)	Data 0.001 (0.002)	Loss 1.6332 (1.8014)	Prec@1 51.562 (52.721)	Prec@5 87.500 (81.979)
Epoch: [79][3380/14090]	Time 0.732 (0.751)	Data 0.001 (0.002)	Loss 1.6527 (1.8013)	Prec@1 56.250 (52.721)	Prec@5 85.156 (81.983)
Epoch: [79][3390/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 1.9740 (1.8014)	Prec@1 42.188 (52.718)	Prec@5 77.344 (81.980)
Epoch: [79][3400/14090]	Time 0.737 (0.751)	Data 0.001 (0.002)	Loss 1.5955 (1.8015)	Prec@1 58.594 (52.721)	Prec@5 84.375 (81.979)
Epoch: [79][3410/14090]	Time 0.768 (0.751)	Data 0.001 (0.002)	Loss 2.1394 (1.8018)	Prec@1 47.656 (52.716)	Prec@5 79.688 (81.973)
Epoch: [79][3420/14090]	Time 0.730 (0.751)	Data 0.001 (0.002)	Loss 1.6977 (1.8017)	Prec@1 53.906 (52.722)	Prec@5 83.594 (81.974)
Epoch: [79][3430/14090]	Time 0.746 (0.751)	Data 0.003 (0.002)	Loss 1.6637 (1.8017)	Prec@1 60.938 (52.726)	Prec@5 82.812 (81.971)
Epoch: [79][3440/14090]	Time 0.742 (0.751)	Data 0.001 (0.002)	Loss 1.7988 (1.8016)	Prec@1 51.562 (52.723)	Prec@5 85.156 (81.974)
Epoch: [79][3450/14090]	Time 0.782 (0.751)	Data 0.001 (0.002)	Loss 1.7497 (1.8016)	Prec@1 56.250 (52.729)	Prec@5 82.031 (81.969)
Epoch: [79][3460/14090]	Time 0.758 (0.751)	Data 0.001 (0.002)	Loss 1.5297 (1.8015)	Prec@1 57.031 (52.726)	Prec@5 87.500 (81.971)
Epoch: [79][3470/14090]	Time 0.724 (0.751)	Data 0.001 (0.002)	Loss 1.8650 (1.8016)	Prec@1 49.219 (52.727)	Prec@5 82.031 (81.969)
Epoch: [79][3480/14090]	Time 0.741 (0.751)	Data 0.001 (0.002)	Loss 1.6089 (1.8015)	Prec@1 61.719 (52.732)	Prec@5 81.250 (81.968)
Epoch: [79][3490/14090]	Time 0.761 (0.751)	Data 0.001 (0.002)	Loss 1.8360 (1.8019)	Prec@1 51.562 (52.722)	Prec@5 80.469 (81.959)
Epoch: [79][3500/14090]	Time 0.776 (0.751)	Data 0.002 (0.002)	Loss 2.0290 (1.8020)	Prec@1 53.125 (52.718)	Prec@5 75.781 (81.954)
Epoch: [79][3510/14090]	Time 0.780 (0.751)	Data 0.001 (0.002)	Loss 2.0532 (1.8021)	Prec@1 53.125 (52.722)	Prec@5 75.000 (81.949)
Epoch: [79][3520/14090]	Time 0.742 (0.751)	Data 0.001 (0.002)	Loss 2.1804 (1.8024)	Prec@1 49.219 (52.719)	Prec@5 73.438 (81.942)
Epoch: [79][3530/14090]	Time 0.746 (0.751)	Data 0.001 (0.002)	Loss 1.7882 (1.8022)	Prec@1 53.125 (52.723)	Prec@5 81.250 (81.944)
Epoch: [79][3540/14090]	Time 0.740 (0.751)	Data 0.001 (0.002)	Loss 1.9555 (1.8024)	Prec@1 48.438 (52.721)	Prec@5 79.688 (81.942)
Epoch: [79][3550/14090]	Time 0.751 (0.751)	Data 0.001 (0.002)	Loss 1.8133 (1.8025)	Prec@1 48.438 (52.720)	Prec@5 85.156 (81.941)
Epoch: [79][3560/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 1.7496 (1.8024)	Prec@1 50.000 (52.720)	Prec@5 85.156 (81.943)
Epoch: [79][3570/14090]	Time 0.740 (0.751)	Data 0.002 (0.002)	Loss 1.6971 (1.8025)	Prec@1 57.031 (52.719)	Prec@5 84.375 (81.943)
Epoch: [79][3580/14090]	Time 0.750 (0.751)	Data 0.001 (0.002)	Loss 1.7052 (1.8026)	Prec@1 57.812 (52.718)	Prec@5 83.594 (81.940)
Epoch: [79][3590/14090]	Time 0.772 (0.751)	Data 0.001 (0.002)	Loss 1.4847 (1.8026)	Prec@1 62.500 (52.720)	Prec@5 88.281 (81.938)
Epoch: [79][3600/14090]	Time 0.725 (0.751)	Data 0.001 (0.002)	Loss 1.7449 (1.8027)	Prec@1 49.219 (52.715)	Prec@5 86.719 (81.937)
Epoch: [79][3610/14090]	Time 0.750 (0.751)	Data 0.001 (0.002)	Loss 1.3753 (1.8027)	Prec@1 64.062 (52.714)	Prec@5 85.938 (81.938)
Epoch: [79][3620/14090]	Time 0.740 (0.751)	Data 0.001 (0.002)	Loss 1.9006 (1.8028)	Prec@1 50.781 (52.714)	Prec@5 82.812 (81.939)
Epoch: [79][3630/14090]	Time 0.753 (0.751)	Data 0.001 (0.002)	Loss 1.8228 (1.8028)	Prec@1 53.906 (52.712)	Prec@5 79.688 (81.937)
Epoch: [79][3640/14090]	Time 0.766 (0.751)	Data 0.002 (0.002)	Loss 1.8542 (1.8029)	Prec@1 52.344 (52.711)	Prec@5 80.469 (81.936)
Epoch: [79][3650/14090]	Time 0.738 (0.751)	Data 0.001 (0.002)	Loss 1.7928 (1.8030)	Prec@1 53.906 (52.710)	Prec@5 84.375 (81.937)
Epoch: [79][3660/14090]	Time 0.746 (0.751)	Data 0.001 (0.002)	Loss 2.0218 (1.8032)	Prec@1 46.875 (52.710)	Prec@5 80.469 (81.930)
Epoch: [79][3670/14090]	Time 0.737 (0.751)	Data 0.001 (0.002)	Loss 1.5811 (1.8031)	Prec@1 55.469 (52.713)	Prec@5 86.719 (81.931)
Epoch: [79][3680/14090]	Time 0.730 (0.751)	Data 0.001 (0.002)	Loss 1.9333 (1.8033)	Prec@1 49.219 (52.710)	Prec@5 78.906 (81.927)
Epoch: [79][3690/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 1.6653 (1.8032)	Prec@1 50.781 (52.704)	Prec@5 88.281 (81.932)
Epoch: [79][3700/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 1.9650 (1.8032)	Prec@1 46.875 (52.707)	Prec@5 82.812 (81.935)
Epoch: [79][3710/14090]	Time 0.740 (0.751)	Data 0.002 (0.002)	Loss 1.8209 (1.8034)	Prec@1 46.875 (52.702)	Prec@5 81.250 (81.933)
Epoch: [79][3720/14090]	Time 0.780 (0.751)	Data 0.001 (0.002)	Loss 1.9408 (1.8033)	Prec@1 48.438 (52.706)	Prec@5 78.906 (81.934)
Epoch: [79][3730/14090]	Time 0.746 (0.751)	Data 0.001 (0.002)	Loss 1.8691 (1.8034)	Prec@1 53.125 (52.707)	Prec@5 80.469 (81.932)
Epoch: [79][3740/14090]	Time 0.743 (0.751)	Data 0.001 (0.002)	Loss 1.7601 (1.8033)	Prec@1 53.125 (52.710)	Prec@5 83.594 (81.934)
Epoch: [79][3750/14090]	Time 0.772 (0.751)	Data 0.001 (0.002)	Loss 1.5780 (1.8031)	Prec@1 52.344 (52.710)	Prec@5 89.062 (81.939)
Epoch: [79][3760/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 1.6438 (1.8030)	Prec@1 50.000 (52.710)	Prec@5 87.500 (81.943)
Epoch: [79][3770/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 2.0178 (1.8031)	Prec@1 45.312 (52.704)	Prec@5 78.125 (81.943)
Epoch: [79][3780/14090]	Time 0.744 (0.751)	Data 0.002 (0.002)	Loss 1.6761 (1.8031)	Prec@1 60.938 (52.702)	Prec@5 83.594 (81.943)
Epoch: [79][3790/14090]	Time 0.752 (0.751)	Data 0.001 (0.002)	Loss 1.5765 (1.8029)	Prec@1 57.031 (52.701)	Prec@5 88.281 (81.950)
Epoch: [79][3800/14090]	Time 0.719 (0.751)	Data 0.001 (0.002)	Loss 2.0412 (1.8028)	Prec@1 46.875 (52.702)	Prec@5 80.469 (81.953)
Epoch: [79][3810/14090]	Time 0.757 (0.751)	Data 0.001 (0.002)	Loss 1.5596 (1.8027)	Prec@1 56.250 (52.702)	Prec@5 87.500 (81.954)
Epoch: [79][3820/14090]	Time 0.748 (0.751)	Data 0.001 (0.002)	Loss 1.9623 (1.8029)	Prec@1 46.875 (52.701)	Prec@5 82.031 (81.954)
Epoch: [79][3830/14090]	Time 0.763 (0.751)	Data 0.001 (0.002)	Loss 2.0203 (1.8030)	Prec@1 46.875 (52.700)	Prec@5 81.250 (81.951)
Epoch: [79][3840/14090]	Time 0.760 (0.751)	Data 0.001 (0.002)	Loss 2.0549 (1.8032)	Prec@1 51.562 (52.696)	Prec@5 79.688 (81.950)
Epoch: [79][3850/14090]	Time 0.751 (0.751)	Data 0.002 (0.002)	Loss 1.8623 (1.8032)	Prec@1 43.750 (52.700)	Prec@5 84.375 (81.950)
Epoch: [79][3860/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 1.9134 (1.8032)	Prec@1 51.562 (52.694)	Prec@5 80.469 (81.944)
Epoch: [79][3870/14090]	Time 0.773 (0.751)	Data 0.001 (0.002)	Loss 1.8693 (1.8033)	Prec@1 50.781 (52.692)	Prec@5 81.250 (81.942)
Epoch: [79][3880/14090]	Time 0.748 (0.751)	Data 0.001 (0.002)	Loss 2.0340 (1.8032)	Prec@1 53.125 (52.699)	Prec@5 78.125 (81.945)
Epoch: [79][3890/14090]	Time 0.727 (0.751)	Data 0.001 (0.002)	Loss 1.6439 (1.8032)	Prec@1 56.250 (52.700)	Prec@5 88.281 (81.947)
Epoch: [79][3900/14090]	Time 0.751 (0.751)	Data 0.001 (0.002)	Loss 1.6245 (1.8033)	Prec@1 60.938 (52.700)	Prec@5 83.594 (81.945)
Epoch: [79][3910/14090]	Time 0.746 (0.751)	Data 0.001 (0.002)	Loss 1.9320 (1.8033)	Prec@1 47.656 (52.700)	Prec@5 79.688 (81.945)
Epoch: [79][3920/14090]	Time 0.749 (0.751)	Data 0.002 (0.002)	Loss 1.9595 (1.8033)	Prec@1 48.438 (52.698)	Prec@5 77.344 (81.944)
Epoch: [79][3930/14090]	Time 0.733 (0.751)	Data 0.001 (0.002)	Loss 1.6695 (1.8031)	Prec@1 55.469 (52.702)	Prec@5 82.812 (81.944)
Epoch: [79][3940/14090]	Time 0.763 (0.751)	Data 0.001 (0.002)	Loss 2.0689 (1.8031)	Prec@1 48.438 (52.703)	Prec@5 77.344 (81.946)
Epoch: [79][3950/14090]	Time 0.741 (0.751)	Data 0.001 (0.002)	Loss 1.7975 (1.8031)	Prec@1 50.781 (52.705)	Prec@5 84.375 (81.945)
Epoch: [79][3960/14090]	Time 0.732 (0.751)	Data 0.001 (0.002)	Loss 1.8787 (1.8031)	Prec@1 50.781 (52.705)	Prec@5 82.031 (81.944)
Epoch: [79][3970/14090]	Time 0.729 (0.751)	Data 0.001 (0.002)	Loss 1.6318 (1.8031)	Prec@1 49.219 (52.704)	Prec@5 89.062 (81.944)
Epoch: [79][3980/14090]	Time 0.746 (0.751)	Data 0.001 (0.002)	Loss 1.8825 (1.8029)	Prec@1 50.000 (52.711)	Prec@5 81.250 (81.946)
Epoch: [79][3990/14090]	Time 0.755 (0.751)	Data 0.002 (0.002)	Loss 1.8211 (1.8029)	Prec@1 52.344 (52.712)	Prec@5 80.469 (81.944)
Epoch: [79][4000/14090]	Time 0.727 (0.751)	Data 0.001 (0.002)	Loss 1.8414 (1.8029)	Prec@1 52.344 (52.710)	Prec@5 81.250 (81.943)
Epoch: [79][4010/14090]	Time 0.748 (0.751)	Data 0.001 (0.002)	Loss 1.9138 (1.8030)	Prec@1 50.781 (52.706)	Prec@5 79.688 (81.940)
Epoch: [79][4020/14090]	Time 0.735 (0.751)	Data 0.001 (0.002)	Loss 1.8129 (1.8028)	Prec@1 55.469 (52.710)	Prec@5 78.125 (81.943)
Epoch: [79][4030/14090]	Time 0.762 (0.751)	Data 0.001 (0.002)	Loss 1.6803 (1.8027)	Prec@1 51.562 (52.712)	Prec@5 82.812 (81.944)
Epoch: [79][4040/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 1.4783 (1.8027)	Prec@1 63.281 (52.712)	Prec@5 86.719 (81.944)
Epoch: [79][4050/14090]	Time 0.738 (0.751)	Data 0.001 (0.002)	Loss 2.1264 (1.8027)	Prec@1 46.094 (52.717)	Prec@5 72.656 (81.943)
Epoch: [79][4060/14090]	Time 0.728 (0.751)	Data 0.002 (0.002)	Loss 1.6737 (1.8026)	Prec@1 59.375 (52.718)	Prec@5 85.156 (81.949)
Epoch: [79][4070/14090]	Time 0.752 (0.751)	Data 0.001 (0.002)	Loss 1.8589 (1.8027)	Prec@1 53.125 (52.721)	Prec@5 81.250 (81.950)
Epoch: [79][4080/14090]	Time 0.774 (0.751)	Data 0.001 (0.002)	Loss 1.8167 (1.8026)	Prec@1 53.125 (52.728)	Prec@5 85.938 (81.950)
Epoch: [79][4090/14090]	Time 0.757 (0.751)	Data 0.001 (0.002)	Loss 1.8082 (1.8024)	Prec@1 52.344 (52.731)	Prec@5 85.938 (81.954)
Epoch: [79][4100/14090]	Time 0.735 (0.751)	Data 0.001 (0.002)	Loss 2.0230 (1.8025)	Prec@1 49.219 (52.730)	Prec@5 78.125 (81.954)
Epoch: [79][4110/14090]	Time 0.732 (0.751)	Data 0.001 (0.002)	Loss 1.8608 (1.8026)	Prec@1 48.438 (52.727)	Prec@5 84.375 (81.953)
Epoch: [79][4120/14090]	Time 0.771 (0.751)	Data 0.001 (0.002)	Loss 1.7384 (1.8025)	Prec@1 51.562 (52.728)	Prec@5 84.375 (81.955)
Epoch: [79][4130/14090]	Time 0.740 (0.751)	Data 0.002 (0.002)	Loss 1.6515 (1.8025)	Prec@1 58.594 (52.727)	Prec@5 85.938 (81.953)
Epoch: [79][4140/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 1.7012 (1.8025)	Prec@1 55.469 (52.725)	Prec@5 80.469 (81.952)
Epoch: [79][4150/14090]	Time 0.738 (0.751)	Data 0.001 (0.002)	Loss 2.0481 (1.8026)	Prec@1 50.000 (52.725)	Prec@5 77.344 (81.952)
Epoch: [79][4160/14090]	Time 0.760 (0.751)	Data 0.001 (0.002)	Loss 1.9093 (1.8026)	Prec@1 50.781 (52.725)	Prec@5 76.562 (81.950)
Epoch: [79][4170/14090]	Time 0.763 (0.751)	Data 0.001 (0.002)	Loss 1.5421 (1.8026)	Prec@1 60.156 (52.723)	Prec@5 85.156 (81.951)
Epoch: [79][4180/14090]	Time 0.736 (0.751)	Data 0.001 (0.002)	Loss 1.7538 (1.8025)	Prec@1 56.250 (52.728)	Prec@5 83.594 (81.953)
Epoch: [79][4190/14090]	Time 0.731 (0.751)	Data 0.001 (0.002)	Loss 1.8591 (1.8023)	Prec@1 53.906 (52.731)	Prec@5 79.688 (81.954)
Epoch: [79][4200/14090]	Time 0.766 (0.751)	Data 0.002 (0.002)	Loss 2.0171 (1.8024)	Prec@1 50.781 (52.728)	Prec@5 75.781 (81.953)
Epoch: [79][4210/14090]	Time 0.744 (0.751)	Data 0.001 (0.002)	Loss 1.8792 (1.8025)	Prec@1 46.875 (52.724)	Prec@5 81.250 (81.950)
Epoch: [79][4220/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 1.7854 (1.8026)	Prec@1 53.125 (52.722)	Prec@5 78.125 (81.947)
Epoch: [79][4230/14090]	Time 0.733 (0.751)	Data 0.001 (0.002)	Loss 1.8502 (1.8027)	Prec@1 51.562 (52.720)	Prec@5 80.469 (81.944)
Epoch: [79][4240/14090]	Time 0.777 (0.751)	Data 0.001 (0.002)	Loss 1.7160 (1.8027)	Prec@1 56.250 (52.721)	Prec@5 85.156 (81.947)
Epoch: [79][4250/14090]	Time 0.742 (0.751)	Data 0.001 (0.002)	Loss 1.6206 (1.8026)	Prec@1 55.469 (52.726)	Prec@5 81.250 (81.946)
Epoch: [79][4260/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 1.7720 (1.8027)	Prec@1 53.125 (52.721)	Prec@5 82.812 (81.944)
Epoch: [79][4270/14090]	Time 0.773 (0.751)	Data 0.002 (0.002)	Loss 1.8436 (1.8028)	Prec@1 52.344 (52.721)	Prec@5 79.688 (81.943)
Epoch: [79][4280/14090]	Time 0.734 (0.751)	Data 0.001 (0.002)	Loss 1.9453 (1.8029)	Prec@1 50.000 (52.720)	Prec@5 77.344 (81.941)
Epoch: [79][4290/14090]	Time 0.773 (0.751)	Data 0.001 (0.002)	Loss 1.9807 (1.8028)	Prec@1 46.875 (52.723)	Prec@5 79.688 (81.943)
Epoch: [79][4300/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 1.7100 (1.8028)	Prec@1 56.250 (52.723)	Prec@5 83.594 (81.943)
Epoch: [79][4310/14090]	Time 0.729 (0.751)	Data 0.001 (0.002)	Loss 1.7999 (1.8027)	Prec@1 50.781 (52.726)	Prec@5 81.250 (81.946)
Epoch: [79][4320/14090]	Time 0.781 (0.751)	Data 0.001 (0.002)	Loss 1.7331 (1.8028)	Prec@1 54.688 (52.725)	Prec@5 85.156 (81.944)
Epoch: [79][4330/14090]	Time 0.744 (0.751)	Data 0.001 (0.002)	Loss 1.8041 (1.8030)	Prec@1 57.812 (52.725)	Prec@5 80.469 (81.943)
Epoch: [79][4340/14090]	Time 0.775 (0.751)	Data 0.002 (0.002)	Loss 1.8825 (1.8032)	Prec@1 48.438 (52.719)	Prec@5 82.812 (81.939)
Epoch: [79][4350/14090]	Time 0.759 (0.751)	Data 0.001 (0.002)	Loss 1.7825 (1.8031)	Prec@1 51.562 (52.722)	Prec@5 83.594 (81.942)
Epoch: [79][4360/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 1.6731 (1.8030)	Prec@1 50.000 (52.726)	Prec@5 83.594 (81.943)
Epoch: [79][4370/14090]	Time 0.735 (0.751)	Data 0.001 (0.002)	Loss 1.8322 (1.8029)	Prec@1 57.031 (52.730)	Prec@5 78.906 (81.947)
Epoch: [79][4380/14090]	Time 0.731 (0.751)	Data 0.001 (0.002)	Loss 1.6284 (1.8028)	Prec@1 57.031 (52.732)	Prec@5 85.938 (81.950)
Epoch: [79][4390/14090]	Time 0.750 (0.751)	Data 0.001 (0.002)	Loss 1.8158 (1.8029)	Prec@1 51.562 (52.728)	Prec@5 80.469 (81.950)
Epoch: [79][4400/14090]	Time 0.729 (0.751)	Data 0.001 (0.002)	Loss 1.7174 (1.8027)	Prec@1 56.250 (52.731)	Prec@5 81.250 (81.950)
Epoch: [79][4410/14090]	Time 0.752 (0.751)	Data 0.002 (0.002)	Loss 1.9252 (1.8028)	Prec@1 50.781 (52.726)	Prec@5 78.906 (81.951)
Epoch: [79][4420/14090]	Time 0.746 (0.751)	Data 0.001 (0.002)	Loss 1.6514 (1.8027)	Prec@1 60.156 (52.728)	Prec@5 84.375 (81.955)
Epoch: [79][4430/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 1.9938 (1.8028)	Prec@1 45.312 (52.727)	Prec@5 78.125 (81.953)
Epoch: [79][4440/14090]	Time 0.750 (0.751)	Data 0.001 (0.002)	Loss 1.8814 (1.8027)	Prec@1 53.125 (52.730)	Prec@5 82.812 (81.955)
Epoch: [79][4450/14090]	Time 0.733 (0.751)	Data 0.001 (0.002)	Loss 1.7699 (1.8027)	Prec@1 50.781 (52.727)	Prec@5 85.938 (81.958)
Epoch: [79][4460/14090]	Time 0.725 (0.751)	Data 0.001 (0.002)	Loss 1.7726 (1.8028)	Prec@1 50.781 (52.722)	Prec@5 85.938 (81.956)
Epoch: [79][4470/14090]	Time 0.725 (0.751)	Data 0.001 (0.002)	Loss 1.6240 (1.8027)	Prec@1 60.156 (52.725)	Prec@5 88.281 (81.957)
Epoch: [79][4480/14090]	Time 0.746 (0.751)	Data 0.002 (0.002)	Loss 1.5634 (1.8026)	Prec@1 59.375 (52.728)	Prec@5 86.719 (81.958)
Epoch: [79][4490/14090]	Time 0.735 (0.751)	Data 0.001 (0.002)	Loss 1.5420 (1.8024)	Prec@1 54.688 (52.727)	Prec@5 84.375 (81.960)
Epoch: [79][4500/14090]	Time 0.746 (0.751)	Data 0.001 (0.002)	Loss 1.7530 (1.8025)	Prec@1 50.000 (52.727)	Prec@5 82.812 (81.957)
Epoch: [79][4510/14090]	Time 0.733 (0.751)	Data 0.001 (0.002)	Loss 1.5186 (1.8023)	Prec@1 61.719 (52.732)	Prec@5 84.375 (81.960)
Epoch: [79][4520/14090]	Time 0.756 (0.751)	Data 0.001 (0.002)	Loss 1.8290 (1.8024)	Prec@1 54.688 (52.734)	Prec@5 81.250 (81.959)
Epoch: [79][4530/14090]	Time 0.780 (0.751)	Data 0.001 (0.002)	Loss 1.8912 (1.8025)	Prec@1 55.469 (52.734)	Prec@5 78.906 (81.956)
Epoch: [79][4540/14090]	Time 0.738 (0.751)	Data 0.001 (0.002)	Loss 1.8246 (1.8026)	Prec@1 49.219 (52.730)	Prec@5 81.250 (81.958)
Epoch: [79][4550/14090]	Time 0.734 (0.751)	Data 0.002 (0.002)	Loss 1.4971 (1.8024)	Prec@1 58.594 (52.735)	Prec@5 88.281 (81.962)
Epoch: [79][4560/14090]	Time 0.737 (0.751)	Data 0.001 (0.002)	Loss 1.9014 (1.8022)	Prec@1 48.438 (52.744)	Prec@5 79.688 (81.962)
Epoch: [79][4570/14090]	Time 0.736 (0.751)	Data 0.001 (0.002)	Loss 1.9153 (1.8022)	Prec@1 46.094 (52.742)	Prec@5 78.906 (81.960)
Epoch: [79][4580/14090]	Time 0.749 (0.751)	Data 0.001 (0.002)	Loss 1.7362 (1.8021)	Prec@1 52.344 (52.742)	Prec@5 82.812 (81.963)
Epoch: [79][4590/14090]	Time 0.728 (0.750)	Data 0.001 (0.002)	Loss 1.8219 (1.8020)	Prec@1 48.438 (52.747)	Prec@5 82.031 (81.965)
Epoch: [79][4600/14090]	Time 0.736 (0.750)	Data 0.001 (0.002)	Loss 1.7031 (1.8019)	Prec@1 54.688 (52.747)	Prec@5 82.812 (81.966)
Epoch: [79][4610/14090]	Time 0.735 (0.750)	Data 0.001 (0.002)	Loss 1.6255 (1.8018)	Prec@1 57.812 (52.747)	Prec@5 85.156 (81.967)
Epoch: [79][4620/14090]	Time 0.776 (0.750)	Data 0.002 (0.002)	Loss 1.7458 (1.8019)	Prec@1 57.031 (52.747)	Prec@5 81.250 (81.966)
Epoch: [79][4630/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 1.7844 (1.8018)	Prec@1 50.000 (52.746)	Prec@5 85.156 (81.972)
Epoch: [79][4640/14090]	Time 0.754 (0.750)	Data 0.001 (0.002)	Loss 1.8421 (1.8019)	Prec@1 50.781 (52.745)	Prec@5 81.250 (81.969)
Epoch: [79][4650/14090]	Time 0.748 (0.750)	Data 0.001 (0.002)	Loss 1.9164 (1.8019)	Prec@1 56.250 (52.744)	Prec@5 76.562 (81.969)
Epoch: [79][4660/14090]	Time 0.774 (0.750)	Data 0.001 (0.002)	Loss 1.9155 (1.8020)	Prec@1 52.344 (52.748)	Prec@5 80.469 (81.966)
Epoch: [79][4670/14090]	Time 0.729 (0.750)	Data 0.001 (0.002)	Loss 1.7988 (1.8019)	Prec@1 54.688 (52.750)	Prec@5 82.031 (81.966)
Epoch: [79][4680/14090]	Time 0.758 (0.750)	Data 0.001 (0.002)	Loss 1.7640 (1.8020)	Prec@1 53.906 (52.748)	Prec@5 83.594 (81.966)
Epoch: [79][4690/14090]	Time 0.728 (0.750)	Data 0.002 (0.002)	Loss 1.7902 (1.8019)	Prec@1 47.656 (52.750)	Prec@5 80.469 (81.970)
Epoch: [79][4700/14090]	Time 0.754 (0.750)	Data 0.001 (0.002)	Loss 1.4787 (1.8018)	Prec@1 60.938 (52.752)	Prec@5 88.281 (81.971)
Epoch: [79][4710/14090]	Time 0.766 (0.750)	Data 0.001 (0.002)	Loss 1.9319 (1.8019)	Prec@1 50.781 (52.749)	Prec@5 76.562 (81.970)
Epoch: [79][4720/14090]	Time 0.769 (0.750)	Data 0.001 (0.002)	Loss 1.9775 (1.8020)	Prec@1 50.000 (52.747)	Prec@5 78.906 (81.970)
Epoch: [79][4730/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 1.7444 (1.8019)	Prec@1 58.594 (52.750)	Prec@5 82.812 (81.973)
Epoch: [79][4740/14090]	Time 0.753 (0.750)	Data 0.001 (0.002)	Loss 1.7616 (1.8021)	Prec@1 52.344 (52.746)	Prec@5 78.125 (81.967)
Epoch: [79][4750/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 1.9277 (1.8020)	Prec@1 50.000 (52.749)	Prec@5 79.688 (81.970)
Epoch: [79][4760/14090]	Time 0.754 (0.750)	Data 0.002 (0.002)	Loss 2.1001 (1.8022)	Prec@1 40.625 (52.742)	Prec@5 78.906 (81.968)
Epoch: [79][4770/14090]	Time 0.734 (0.750)	Data 0.001 (0.002)	Loss 1.6361 (1.8022)	Prec@1 57.031 (52.744)	Prec@5 84.375 (81.971)
Epoch: [79][4780/14090]	Time 0.728 (0.750)	Data 0.001 (0.002)	Loss 1.8601 (1.8021)	Prec@1 51.562 (52.744)	Prec@5 83.594 (81.975)
Epoch: [79][4790/14090]	Time 0.741 (0.750)	Data 0.001 (0.002)	Loss 2.2995 (1.8024)	Prec@1 45.312 (52.738)	Prec@5 71.094 (81.969)
Epoch: [79][4800/14090]	Time 0.759 (0.750)	Data 0.001 (0.002)	Loss 1.8249 (1.8024)	Prec@1 46.094 (52.734)	Prec@5 79.688 (81.967)
Epoch: [79][4810/14090]	Time 0.732 (0.750)	Data 0.001 (0.002)	Loss 1.8600 (1.8027)	Prec@1 52.344 (52.726)	Prec@5 83.594 (81.962)
Epoch: [79][4820/14090]	Time 0.772 (0.750)	Data 0.001 (0.002)	Loss 1.9489 (1.8029)	Prec@1 43.750 (52.718)	Prec@5 84.375 (81.962)
Epoch: [79][4830/14090]	Time 0.753 (0.750)	Data 0.002 (0.002)	Loss 1.8945 (1.8027)	Prec@1 50.000 (52.722)	Prec@5 80.469 (81.965)
Epoch: [79][4840/14090]	Time 0.787 (0.750)	Data 0.001 (0.002)	Loss 1.8336 (1.8027)	Prec@1 55.469 (52.723)	Prec@5 82.031 (81.966)
Epoch: [79][4850/14090]	Time 0.738 (0.750)	Data 0.001 (0.002)	Loss 1.9140 (1.8029)	Prec@1 47.656 (52.721)	Prec@5 80.469 (81.962)
Epoch: [79][4860/14090]	Time 0.779 (0.750)	Data 0.001 (0.002)	Loss 1.7465 (1.8032)	Prec@1 57.812 (52.719)	Prec@5 85.156 (81.957)
Epoch: [79][4870/14090]	Time 0.737 (0.750)	Data 0.001 (0.002)	Loss 1.6543 (1.8033)	Prec@1 59.375 (52.718)	Prec@5 83.594 (81.957)
Epoch: [79][4880/14090]	Time 0.743 (0.750)	Data 0.001 (0.002)	Loss 1.5748 (1.8033)	Prec@1 61.719 (52.720)	Prec@5 86.719 (81.957)
Epoch: [79][4890/14090]	Time 0.764 (0.750)	Data 0.001 (0.002)	Loss 1.9535 (1.8032)	Prec@1 49.219 (52.721)	Prec@5 81.250 (81.961)
Epoch: [79][4900/14090]	Time 0.748 (0.750)	Data 0.002 (0.002)	Loss 1.6589 (1.8034)	Prec@1 57.031 (52.715)	Prec@5 83.594 (81.957)
Epoch: [79][4910/14090]	Time 0.726 (0.750)	Data 0.001 (0.002)	Loss 1.8609 (1.8034)	Prec@1 57.812 (52.718)	Prec@5 82.031 (81.956)
Epoch: [79][4920/14090]	Time 0.764 (0.750)	Data 0.001 (0.002)	Loss 2.1107 (1.8034)	Prec@1 46.094 (52.720)	Prec@5 70.312 (81.955)
Epoch: [79][4930/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 1.7472 (1.8033)	Prec@1 54.688 (52.721)	Prec@5 87.500 (81.954)
Epoch: [79][4940/14090]	Time 0.734 (0.750)	Data 0.001 (0.002)	Loss 2.2313 (1.8034)	Prec@1 44.531 (52.719)	Prec@5 76.562 (81.956)
Epoch: [79][4950/14090]	Time 0.736 (0.750)	Data 0.001 (0.002)	Loss 1.7266 (1.8034)	Prec@1 52.344 (52.718)	Prec@5 85.156 (81.953)
Epoch: [79][4960/14090]	Time 0.727 (0.750)	Data 0.001 (0.002)	Loss 1.7522 (1.8034)	Prec@1 50.000 (52.715)	Prec@5 87.500 (81.952)
Epoch: [79][4970/14090]	Time 0.779 (0.750)	Data 0.002 (0.002)	Loss 1.7695 (1.8036)	Prec@1 56.250 (52.710)	Prec@5 76.562 (81.946)
Epoch: [79][4980/14090]	Time 0.734 (0.750)	Data 0.001 (0.002)	Loss 1.9735 (1.8037)	Prec@1 48.438 (52.709)	Prec@5 79.688 (81.944)
Epoch: [79][4990/14090]	Time 0.734 (0.750)	Data 0.001 (0.002)	Loss 1.7263 (1.8037)	Prec@1 53.125 (52.709)	Prec@5 85.156 (81.943)
Epoch: [79][5000/14090]	Time 0.728 (0.750)	Data 0.001 (0.002)	Loss 1.7475 (1.8037)	Prec@1 49.219 (52.707)	Prec@5 80.469 (81.943)
Epoch: [79][5010/14090]	Time 0.739 (0.750)	Data 0.001 (0.002)	Loss 1.6300 (1.8036)	Prec@1 55.469 (52.708)	Prec@5 82.031 (81.946)
Epoch: [79][5020/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 1.6272 (1.8036)	Prec@1 57.031 (52.707)	Prec@5 87.500 (81.945)
Epoch: [79][5030/14090]	Time 0.748 (0.750)	Data 0.001 (0.002)	Loss 1.6403 (1.8035)	Prec@1 60.156 (52.710)	Prec@5 87.500 (81.948)
Epoch: [79][5040/14090]	Time 0.782 (0.750)	Data 0.002 (0.002)	Loss 1.7651 (1.8034)	Prec@1 50.000 (52.711)	Prec@5 84.375 (81.948)
Epoch: [79][5050/14090]	Time 0.740 (0.750)	Data 0.001 (0.002)	Loss 1.7563 (1.8035)	Prec@1 50.781 (52.704)	Prec@5 83.594 (81.947)
Epoch: [79][5060/14090]	Time 0.735 (0.750)	Data 0.001 (0.002)	Loss 1.6422 (1.8036)	Prec@1 52.344 (52.701)	Prec@5 83.594 (81.948)
Epoch: [79][5070/14090]	Time 0.766 (0.750)	Data 0.002 (0.002)	Loss 1.6741 (1.8034)	Prec@1 53.906 (52.703)	Prec@5 88.281 (81.949)
Epoch: [79][5080/14090]	Time 0.739 (0.750)	Data 0.001 (0.002)	Loss 2.0003 (1.8034)	Prec@1 48.438 (52.702)	Prec@5 77.344 (81.948)
Epoch: [79][5090/14090]	Time 0.740 (0.750)	Data 0.001 (0.002)	Loss 1.7840 (1.8034)	Prec@1 54.688 (52.704)	Prec@5 78.906 (81.946)
Epoch: [79][5100/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 2.0486 (1.8033)	Prec@1 46.875 (52.706)	Prec@5 80.469 (81.948)
Epoch: [79][5110/14090]	Time 0.762 (0.750)	Data 0.002 (0.002)	Loss 2.1457 (1.8031)	Prec@1 42.969 (52.709)	Prec@5 78.125 (81.952)
Epoch: [79][5120/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 1.6648 (1.8031)	Prec@1 51.562 (52.710)	Prec@5 82.812 (81.951)
Epoch: [79][5130/14090]	Time 0.776 (0.750)	Data 0.001 (0.002)	Loss 1.7325 (1.8031)	Prec@1 57.812 (52.711)	Prec@5 82.812 (81.951)
Epoch: [79][5140/14090]	Time 0.747 (0.750)	Data 0.001 (0.002)	Loss 1.7460 (1.8031)	Prec@1 57.031 (52.712)	Prec@5 85.938 (81.950)
Epoch: [79][5150/14090]	Time 0.756 (0.750)	Data 0.001 (0.002)	Loss 1.9547 (1.8032)	Prec@1 46.875 (52.713)	Prec@5 85.156 (81.950)
Epoch: [79][5160/14090]	Time 0.760 (0.750)	Data 0.001 (0.002)	Loss 1.8624 (1.8031)	Prec@1 48.438 (52.714)	Prec@5 82.812 (81.952)
Epoch: [79][5170/14090]	Time 0.746 (0.750)	Data 0.001 (0.002)	Loss 1.4900 (1.8031)	Prec@1 56.250 (52.714)	Prec@5 91.406 (81.953)
Epoch: [79][5180/14090]	Time 0.739 (0.750)	Data 0.002 (0.002)	Loss 1.7538 (1.8032)	Prec@1 52.344 (52.715)	Prec@5 78.125 (81.950)
Epoch: [79][5190/14090]	Time 0.735 (0.750)	Data 0.001 (0.002)	Loss 1.8582 (1.8033)	Prec@1 53.125 (52.716)	Prec@5 79.688 (81.951)
Epoch: [79][5200/14090]	Time 0.773 (0.750)	Data 0.001 (0.002)	Loss 1.7046 (1.8033)	Prec@1 53.906 (52.712)	Prec@5 83.594 (81.952)
Epoch: [79][5210/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 1.8462 (1.8034)	Prec@1 46.875 (52.708)	Prec@5 82.031 (81.951)
Epoch: [79][5220/14090]	Time 0.755 (0.750)	Data 0.001 (0.002)	Loss 1.9242 (1.8034)	Prec@1 49.219 (52.707)	Prec@5 85.156 (81.952)
Epoch: [79][5230/14090]	Time 0.765 (0.750)	Data 0.001 (0.002)	Loss 2.1746 (1.8036)	Prec@1 40.625 (52.703)	Prec@5 75.781 (81.949)
Epoch: [79][5240/14090]	Time 0.759 (0.750)	Data 0.001 (0.002)	Loss 1.8330 (1.8035)	Prec@1 53.906 (52.705)	Prec@5 76.562 (81.949)
Epoch: [79][5250/14090]	Time 0.781 (0.750)	Data 0.002 (0.002)	Loss 1.5751 (1.8034)	Prec@1 59.375 (52.712)	Prec@5 85.156 (81.952)
Epoch: [79][5260/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 1.9388 (1.8034)	Prec@1 50.781 (52.712)	Prec@5 82.031 (81.950)
Epoch: [79][5270/14090]	Time 0.736 (0.750)	Data 0.001 (0.002)	Loss 1.9475 (1.8035)	Prec@1 47.656 (52.710)	Prec@5 78.906 (81.949)
Epoch: [79][5280/14090]	Time 0.770 (0.750)	Data 0.001 (0.002)	Loss 1.8670 (1.8037)	Prec@1 49.219 (52.706)	Prec@5 78.906 (81.945)
Epoch: [79][5290/14090]	Time 0.725 (0.750)	Data 0.001 (0.002)	Loss 1.8250 (1.8038)	Prec@1 51.562 (52.703)	Prec@5 84.375 (81.945)
Epoch: [79][5300/14090]	Time 0.761 (0.750)	Data 0.001 (0.002)	Loss 1.6802 (1.8037)	Prec@1 54.688 (52.704)	Prec@5 82.031 (81.945)
Epoch: [79][5310/14090]	Time 0.738 (0.750)	Data 0.001 (0.002)	Loss 1.8376 (1.8037)	Prec@1 48.438 (52.705)	Prec@5 82.031 (81.945)
Epoch: [79][5320/14090]	Time 0.758 (0.750)	Data 0.002 (0.002)	Loss 1.5847 (1.8036)	Prec@1 62.500 (52.708)	Prec@5 85.156 (81.948)
Epoch: [79][5330/14090]	Time 0.732 (0.750)	Data 0.001 (0.002)	Loss 1.6258 (1.8036)	Prec@1 54.688 (52.707)	Prec@5 85.156 (81.947)
Epoch: [79][5340/14090]	Time 0.741 (0.750)	Data 0.001 (0.002)	Loss 1.5314 (1.8036)	Prec@1 57.812 (52.704)	Prec@5 85.156 (81.945)
Epoch: [79][5350/14090]	Time 0.757 (0.750)	Data 0.001 (0.002)	Loss 1.5797 (1.8037)	Prec@1 57.812 (52.702)	Prec@5 83.594 (81.945)
Epoch: [79][5360/14090]	Time 0.778 (0.750)	Data 0.001 (0.002)	Loss 1.7248 (1.8035)	Prec@1 50.781 (52.705)	Prec@5 83.594 (81.946)
Epoch: [79][5370/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 1.7377 (1.8034)	Prec@1 55.469 (52.706)	Prec@5 79.688 (81.948)
Epoch: [79][5380/14090]	Time 0.751 (0.750)	Data 0.001 (0.002)	Loss 1.6038 (1.8033)	Prec@1 59.375 (52.706)	Prec@5 83.594 (81.949)
Epoch: [79][5390/14090]	Time 0.750 (0.750)	Data 0.002 (0.002)	Loss 1.7609 (1.8033)	Prec@1 54.688 (52.704)	Prec@5 85.156 (81.951)
Epoch: [79][5400/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 1.8853 (1.8033)	Prec@1 44.531 (52.706)	Prec@5 83.594 (81.954)
Epoch: [79][5410/14090]	Time 0.760 (0.750)	Data 0.001 (0.002)	Loss 1.4412 (1.8033)	Prec@1 67.188 (52.705)	Prec@5 88.281 (81.954)
Epoch: [79][5420/14090]	Time 0.723 (0.750)	Data 0.001 (0.002)	Loss 1.7804 (1.8032)	Prec@1 53.125 (52.709)	Prec@5 83.594 (81.956)
Epoch: [79][5430/14090]	Time 0.773 (0.750)	Data 0.001 (0.002)	Loss 1.9152 (1.8032)	Prec@1 50.781 (52.711)	Prec@5 78.906 (81.956)
Epoch: [79][5440/14090]	Time 0.728 (0.750)	Data 0.001 (0.002)	Loss 1.6830 (1.8032)	Prec@1 57.031 (52.710)	Prec@5 85.156 (81.955)
Epoch: [79][5450/14090]	Time 0.751 (0.750)	Data 0.001 (0.002)	Loss 1.9571 (1.8033)	Prec@1 52.344 (52.709)	Prec@5 78.125 (81.955)
Epoch: [79][5460/14090]	Time 0.749 (0.750)	Data 0.002 (0.002)	Loss 1.9079 (1.8032)	Prec@1 53.906 (52.712)	Prec@5 82.812 (81.954)
Epoch: [79][5470/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 1.9823 (1.8032)	Prec@1 48.438 (52.710)	Prec@5 75.000 (81.953)
Epoch: [79][5480/14090]	Time 0.735 (0.750)	Data 0.001 (0.002)	Loss 1.8532 (1.8033)	Prec@1 55.469 (52.711)	Prec@5 81.250 (81.952)
Epoch: [79][5490/14090]	Time 0.735 (0.750)	Data 0.001 (0.002)	Loss 1.7920 (1.8033)	Prec@1 49.219 (52.714)	Prec@5 85.938 (81.954)
Epoch: [79][5500/14090]	Time 0.764 (0.750)	Data 0.001 (0.002)	Loss 2.2563 (1.8034)	Prec@1 44.531 (52.711)	Prec@5 78.906 (81.952)
Epoch: [79][5510/14090]	Time 0.760 (0.750)	Data 0.001 (0.002)	Loss 1.6249 (1.8033)	Prec@1 57.031 (52.714)	Prec@5 85.938 (81.955)
Epoch: [79][5520/14090]	Time 0.737 (0.750)	Data 0.001 (0.002)	Loss 1.7163 (1.8032)	Prec@1 57.031 (52.717)	Prec@5 83.594 (81.956)
Epoch: [79][5530/14090]	Time 0.724 (0.750)	Data 0.002 (0.002)	Loss 1.8255 (1.8032)	Prec@1 53.125 (52.716)	Prec@5 84.375 (81.956)
Epoch: [79][5540/14090]	Time 0.760 (0.750)	Data 0.001 (0.002)	Loss 1.9479 (1.8030)	Prec@1 54.688 (52.720)	Prec@5 81.250 (81.960)
Epoch: [79][5550/14090]	Time 0.759 (0.750)	Data 0.001 (0.002)	Loss 1.6706 (1.8032)	Prec@1 55.469 (52.717)	Prec@5 80.469 (81.957)
Epoch: [79][5560/14090]	Time 0.743 (0.750)	Data 0.001 (0.002)	Loss 1.9678 (1.8032)	Prec@1 43.750 (52.714)	Prec@5 82.812 (81.955)
Epoch: [79][5570/14090]	Time 0.755 (0.750)	Data 0.001 (0.002)	Loss 1.9478 (1.8032)	Prec@1 48.438 (52.715)	Prec@5 80.469 (81.956)
Epoch: [79][5580/14090]	Time 0.740 (0.750)	Data 0.001 (0.002)	Loss 1.8871 (1.8033)	Prec@1 45.312 (52.714)	Prec@5 85.156 (81.956)
Epoch: [79][5590/14090]	Time 0.739 (0.750)	Data 0.001 (0.002)	Loss 1.8791 (1.8033)	Prec@1 50.000 (52.712)	Prec@5 83.594 (81.958)
Epoch: [79][5600/14090]	Time 0.728 (0.750)	Data 0.002 (0.002)	Loss 1.6598 (1.8033)	Prec@1 57.031 (52.709)	Prec@5 84.375 (81.957)
Epoch: [79][5610/14090]	Time 0.736 (0.750)	Data 0.001 (0.002)	Loss 1.8644 (1.8033)	Prec@1 54.688 (52.712)	Prec@5 82.031 (81.955)
Epoch: [79][5620/14090]	Time 0.743 (0.750)	Data 0.001 (0.002)	Loss 1.7009 (1.8034)	Prec@1 55.469 (52.708)	Prec@5 80.469 (81.953)
Epoch: [79][5630/14090]	Time 0.763 (0.750)	Data 0.001 (0.002)	Loss 1.7489 (1.8034)	Prec@1 55.469 (52.708)	Prec@5 81.250 (81.952)
Epoch: [79][5640/14090]	Time 0.741 (0.750)	Data 0.001 (0.002)	Loss 1.8898 (1.8035)	Prec@1 56.250 (52.707)	Prec@5 82.031 (81.951)
Epoch: [79][5650/14090]	Time 0.757 (0.750)	Data 0.001 (0.002)	Loss 1.9848 (1.8035)	Prec@1 47.656 (52.707)	Prec@5 78.125 (81.950)
Epoch: [79][5660/14090]	Time 0.758 (0.750)	Data 0.001 (0.002)	Loss 2.0462 (1.8036)	Prec@1 41.406 (52.704)	Prec@5 75.000 (81.949)
Epoch: [79][5670/14090]	Time 0.736 (0.750)	Data 0.002 (0.002)	Loss 1.7150 (1.8036)	Prec@1 53.125 (52.704)	Prec@5 85.156 (81.948)
Epoch: [79][5680/14090]	Time 0.761 (0.750)	Data 0.001 (0.002)	Loss 1.9253 (1.8036)	Prec@1 53.906 (52.704)	Prec@5 82.031 (81.950)
Epoch: [79][5690/14090]	Time 0.734 (0.750)	Data 0.001 (0.002)	Loss 1.6582 (1.8036)	Prec@1 53.906 (52.702)	Prec@5 82.812 (81.949)
Epoch: [79][5700/14090]	Time 0.747 (0.750)	Data 0.001 (0.002)	Loss 1.7877 (1.8036)	Prec@1 53.125 (52.700)	Prec@5 79.688 (81.949)
Epoch: [79][5710/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 1.6236 (1.8035)	Prec@1 55.469 (52.702)	Prec@5 82.812 (81.949)
Epoch: [79][5720/14090]	Time 0.741 (0.750)	Data 0.001 (0.002)	Loss 1.6306 (1.8035)	Prec@1 55.469 (52.704)	Prec@5 85.938 (81.949)
Epoch: [79][5730/14090]	Time 0.768 (0.750)	Data 0.001 (0.002)	Loss 1.8048 (1.8035)	Prec@1 50.781 (52.704)	Prec@5 84.375 (81.948)
Epoch: [79][5740/14090]	Time 0.738 (0.750)	Data 0.002 (0.002)	Loss 2.0661 (1.8036)	Prec@1 44.531 (52.700)	Prec@5 80.469 (81.946)
Epoch: [79][5750/14090]	Time 0.772 (0.750)	Data 0.001 (0.002)	Loss 1.7337 (1.8037)	Prec@1 49.219 (52.696)	Prec@5 83.594 (81.945)
Epoch: [79][5760/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 1.9051 (1.8037)	Prec@1 56.250 (52.696)	Prec@5 77.344 (81.947)
Epoch: [79][5770/14090]	Time 0.748 (0.750)	Data 0.001 (0.002)	Loss 1.7263 (1.8037)	Prec@1 51.562 (52.694)	Prec@5 83.594 (81.950)
Epoch: [79][5780/14090]	Time 0.760 (0.750)	Data 0.001 (0.002)	Loss 1.8944 (1.8036)	Prec@1 54.688 (52.694)	Prec@5 83.594 (81.951)
Epoch: [79][5790/14090]	Time 0.753 (0.750)	Data 0.001 (0.002)	Loss 1.7194 (1.8036)	Prec@1 51.562 (52.694)	Prec@5 85.938 (81.951)
Epoch: [79][5800/14090]	Time 0.739 (0.750)	Data 0.001 (0.002)	Loss 1.9113 (1.8036)	Prec@1 52.344 (52.696)	Prec@5 77.344 (81.948)
Epoch: [79][5810/14090]	Time 0.729 (0.750)	Data 0.002 (0.002)	Loss 1.8464 (1.8036)	Prec@1 53.125 (52.695)	Prec@5 78.125 (81.947)
Epoch: [79][5820/14090]	Time 0.767 (0.750)	Data 0.001 (0.002)	Loss 1.8311 (1.8036)	Prec@1 55.469 (52.696)	Prec@5 82.031 (81.948)
Epoch: [79][5830/14090]	Time 0.753 (0.750)	Data 0.001 (0.002)	Loss 1.8779 (1.8036)	Prec@1 49.219 (52.696)	Prec@5 78.125 (81.946)
Epoch: [79][5840/14090]	Time 0.735 (0.750)	Data 0.001 (0.002)	Loss 2.0058 (1.8036)	Prec@1 45.312 (52.693)	Prec@5 82.812 (81.946)
Epoch: [79][5850/14090]	Time 0.740 (0.750)	Data 0.001 (0.002)	Loss 1.8516 (1.8036)	Prec@1 51.562 (52.694)	Prec@5 81.250 (81.946)
Epoch: [79][5860/14090]	Time 0.759 (0.750)	Data 0.001 (0.002)	Loss 1.9573 (1.8037)	Prec@1 43.750 (52.690)	Prec@5 81.250 (81.945)
Epoch: [79][5870/14090]	Time 0.751 (0.750)	Data 0.001 (0.002)	Loss 1.9634 (1.8038)	Prec@1 45.312 (52.689)	Prec@5 78.125 (81.943)
Epoch: [79][5880/14090]	Time 0.755 (0.750)	Data 0.002 (0.002)	Loss 1.6204 (1.8038)	Prec@1 58.594 (52.690)	Prec@5 85.156 (81.945)
Epoch: [79][5890/14090]	Time 0.723 (0.750)	Data 0.001 (0.002)	Loss 1.7968 (1.8039)	Prec@1 49.219 (52.688)	Prec@5 83.594 (81.943)
Epoch: [79][5900/14090]	Time 0.730 (0.750)	Data 0.001 (0.002)	Loss 1.5669 (1.8038)	Prec@1 57.812 (52.687)	Prec@5 82.812 (81.944)
Epoch: [79][5910/14090]	Time 0.758 (0.750)	Data 0.001 (0.002)	Loss 1.7072 (1.8037)	Prec@1 50.781 (52.689)	Prec@5 83.594 (81.945)
Epoch: [79][5920/14090]	Time 0.761 (0.750)	Data 0.001 (0.002)	Loss 1.8657 (1.8037)	Prec@1 53.906 (52.690)	Prec@5 80.469 (81.945)
Epoch: [79][5930/14090]	Time 0.759 (0.750)	Data 0.001 (0.002)	Loss 2.0810 (1.8039)	Prec@1 53.125 (52.691)	Prec@5 75.781 (81.944)
Epoch: [79][5940/14090]	Time 0.758 (0.750)	Data 0.001 (0.002)	Loss 1.9260 (1.8040)	Prec@1 52.344 (52.691)	Prec@5 82.812 (81.943)
Epoch: [79][5950/14090]	Time 0.751 (0.750)	Data 0.002 (0.002)	Loss 1.6989 (1.8039)	Prec@1 54.688 (52.694)	Prec@5 82.031 (81.943)
Epoch: [79][5960/14090]	Time 0.775 (0.750)	Data 0.001 (0.002)	Loss 1.8863 (1.8040)	Prec@1 47.656 (52.693)	Prec@5 78.906 (81.942)
Epoch: [79][5970/14090]	Time 0.757 (0.750)	Data 0.001 (0.002)	Loss 1.7739 (1.8040)	Prec@1 50.781 (52.689)	Prec@5 82.031 (81.943)
Epoch: [79][5980/14090]	Time 0.751 (0.750)	Data 0.001 (0.002)	Loss 1.7090 (1.8041)	Prec@1 52.344 (52.688)	Prec@5 83.594 (81.942)
Epoch: [79][5990/14090]	Time 0.775 (0.750)	Data 0.001 (0.002)	Loss 1.9058 (1.8043)	Prec@1 46.875 (52.686)	Prec@5 78.125 (81.939)
Epoch: [79][6000/14090]	Time 0.739 (0.750)	Data 0.001 (0.002)	Loss 1.6290 (1.8043)	Prec@1 55.469 (52.686)	Prec@5 88.281 (81.939)
Epoch: [79][6010/14090]	Time 0.726 (0.750)	Data 0.001 (0.002)	Loss 1.8174 (1.8043)	Prec@1 53.125 (52.685)	Prec@5 81.250 (81.938)
Epoch: [79][6020/14090]	Time 0.752 (0.750)	Data 0.002 (0.002)	Loss 1.5717 (1.8042)	Prec@1 57.031 (52.684)	Prec@5 82.812 (81.939)
Epoch: [79][6030/14090]	Time 0.727 (0.750)	Data 0.001 (0.002)	Loss 1.7698 (1.8041)	Prec@1 47.656 (52.685)	Prec@5 82.812 (81.940)
Epoch: [79][6040/14090]	Time 0.772 (0.750)	Data 0.001 (0.002)	Loss 1.9151 (1.8043)	Prec@1 52.344 (52.682)	Prec@5 78.906 (81.936)
Epoch: [79][6050/14090]	Time 0.767 (0.750)	Data 0.001 (0.002)	Loss 1.7842 (1.8042)	Prec@1 50.781 (52.683)	Prec@5 80.469 (81.938)
Epoch: [79][6060/14090]	Time 0.733 (0.750)	Data 0.001 (0.002)	Loss 1.6476 (1.8041)	Prec@1 53.906 (52.686)	Prec@5 85.156 (81.939)
Epoch: [79][6070/14090]	Time 0.736 (0.750)	Data 0.001 (0.002)	Loss 1.7784 (1.8041)	Prec@1 50.781 (52.688)	Prec@5 83.594 (81.937)
Epoch: [79][6080/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 1.7894 (1.8040)	Prec@1 46.875 (52.689)	Prec@5 78.125 (81.936)
Epoch: [79][6090/14090]	Time 0.747 (0.750)	Data 0.002 (0.002)	Loss 2.1212 (1.8041)	Prec@1 50.781 (52.691)	Prec@5 75.781 (81.934)
Epoch: [79][6100/14090]	Time 0.757 (0.750)	Data 0.001 (0.002)	Loss 1.8820 (1.8042)	Prec@1 53.906 (52.688)	Prec@5 78.125 (81.930)
Epoch: [79][6110/14090]	Time 0.758 (0.750)	Data 0.001 (0.002)	Loss 1.7309 (1.8042)	Prec@1 56.250 (52.688)	Prec@5 88.281 (81.930)
Epoch: [79][6120/14090]	Time 0.769 (0.750)	Data 0.001 (0.002)	Loss 1.9108 (1.8043)	Prec@1 51.562 (52.686)	Prec@5 80.469 (81.930)
Epoch: [79][6130/14090]	Time 0.741 (0.750)	Data 0.001 (0.002)	Loss 1.8721 (1.8043)	Prec@1 55.469 (52.686)	Prec@5 81.250 (81.931)
Epoch: [79][6140/14090]	Time 0.740 (0.750)	Data 0.001 (0.002)	Loss 1.7805 (1.8042)	Prec@1 52.344 (52.685)	Prec@5 82.031 (81.934)
Epoch: [79][6150/14090]	Time 0.773 (0.750)	Data 0.001 (0.002)	Loss 2.0287 (1.8043)	Prec@1 44.531 (52.682)	Prec@5 84.375 (81.934)
Epoch: [79][6160/14090]	Time 0.729 (0.750)	Data 0.002 (0.002)	Loss 1.7300 (1.8043)	Prec@1 57.031 (52.683)	Prec@5 79.688 (81.932)
Epoch: [79][6170/14090]	Time 0.737 (0.750)	Data 0.001 (0.002)	Loss 1.9025 (1.8044)	Prec@1 55.469 (52.682)	Prec@5 78.125 (81.930)
Epoch: [79][6180/14090]	Time 0.731 (0.750)	Data 0.001 (0.002)	Loss 1.6703 (1.8043)	Prec@1 56.250 (52.683)	Prec@5 82.031 (81.932)
Epoch: [79][6190/14090]	Time 0.775 (0.750)	Data 0.001 (0.002)	Loss 1.6797 (1.8043)	Prec@1 53.125 (52.684)	Prec@5 85.156 (81.931)
Epoch: [79][6200/14090]	Time 0.737 (0.750)	Data 0.001 (0.002)	Loss 1.6386 (1.8041)	Prec@1 52.344 (52.685)	Prec@5 89.062 (81.936)
Epoch: [79][6210/14090]	Time 0.770 (0.750)	Data 0.001 (0.002)	Loss 1.7436 (1.8042)	Prec@1 58.594 (52.681)	Prec@5 82.031 (81.935)
Epoch: [79][6220/14090]	Time 0.730 (0.750)	Data 0.001 (0.002)	Loss 1.8732 (1.8042)	Prec@1 49.219 (52.680)	Prec@5 85.156 (81.936)
Epoch: [79][6230/14090]	Time 0.759 (0.750)	Data 0.002 (0.002)	Loss 1.7263 (1.8043)	Prec@1 54.688 (52.682)	Prec@5 84.375 (81.935)
Epoch: [79][6240/14090]	Time 0.742 (0.750)	Data 0.001 (0.002)	Loss 1.9035 (1.8045)	Prec@1 42.188 (52.677)	Prec@5 82.031 (81.933)
Epoch: [79][6250/14090]	Time 0.754 (0.750)	Data 0.001 (0.002)	Loss 1.9153 (1.8044)	Prec@1 50.781 (52.674)	Prec@5 79.688 (81.934)
Epoch: [79][6260/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 1.8193 (1.8045)	Prec@1 47.656 (52.673)	Prec@5 82.031 (81.932)
Epoch: [79][6270/14090]	Time 0.730 (0.750)	Data 0.001 (0.002)	Loss 1.8203 (1.8045)	Prec@1 52.344 (52.673)	Prec@5 80.469 (81.929)
Epoch: [79][6280/14090]	Time 0.737 (0.750)	Data 0.001 (0.002)	Loss 1.5340 (1.8044)	Prec@1 60.938 (52.675)	Prec@5 86.719 (81.929)
Epoch: [79][6290/14090]	Time 0.728 (0.750)	Data 0.001 (0.002)	Loss 2.0365 (1.8045)	Prec@1 52.344 (52.674)	Prec@5 77.344 (81.930)
Epoch: [79][6300/14090]	Time 0.758 (0.750)	Data 0.002 (0.002)	Loss 1.8015 (1.8045)	Prec@1 52.344 (52.675)	Prec@5 80.469 (81.929)
Epoch: [79][6310/14090]	Time 0.736 (0.750)	Data 0.001 (0.002)	Loss 1.6544 (1.8044)	Prec@1 57.031 (52.677)	Prec@5 82.812 (81.932)
Epoch: [79][6320/14090]	Time 0.755 (0.750)	Data 0.001 (0.002)	Loss 1.8368 (1.8044)	Prec@1 53.906 (52.675)	Prec@5 79.688 (81.932)
Epoch: [79][6330/14090]	Time 0.770 (0.750)	Data 0.001 (0.002)	Loss 1.8850 (1.8045)	Prec@1 50.781 (52.676)	Prec@5 78.906 (81.930)
Epoch: [79][6340/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 1.8820 (1.8045)	Prec@1 46.094 (52.678)	Prec@5 80.469 (81.929)
Epoch: [79][6350/14090]	Time 0.728 (0.750)	Data 0.001 (0.002)	Loss 1.6583 (1.8046)	Prec@1 57.031 (52.677)	Prec@5 85.938 (81.930)
Epoch: [79][6360/14090]	Time 0.757 (0.750)	Data 0.001 (0.002)	Loss 2.0662 (1.8046)	Prec@1 47.656 (52.676)	Prec@5 78.125 (81.928)
Epoch: [79][6370/14090]	Time 0.740 (0.750)	Data 0.002 (0.002)	Loss 2.0214 (1.8047)	Prec@1 52.344 (52.676)	Prec@5 75.781 (81.927)
Epoch: [79][6380/14090]	Time 0.757 (0.750)	Data 0.001 (0.002)	Loss 1.9548 (1.8046)	Prec@1 46.094 (52.676)	Prec@5 83.594 (81.928)
Epoch: [79][6390/14090]	Time 0.778 (0.750)	Data 0.001 (0.002)	Loss 1.5872 (1.8045)	Prec@1 54.688 (52.681)	Prec@5 84.375 (81.929)
Epoch: [79][6400/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 1.8408 (1.8046)	Prec@1 50.781 (52.682)	Prec@5 87.500 (81.928)
Epoch: [79][6410/14090]	Time 0.756 (0.750)	Data 0.001 (0.002)	Loss 1.6168 (1.8045)	Prec@1 57.031 (52.684)	Prec@5 84.375 (81.930)
Epoch: [79][6420/14090]	Time 0.736 (0.750)	Data 0.001 (0.002)	Loss 1.5979 (1.8044)	Prec@1 53.906 (52.685)	Prec@5 85.938 (81.931)
Epoch: [79][6430/14090]	Time 0.735 (0.750)	Data 0.001 (0.002)	Loss 2.0779 (1.8044)	Prec@1 41.406 (52.684)	Prec@5 77.344 (81.930)
Epoch: [79][6440/14090]	Time 0.757 (0.750)	Data 0.002 (0.002)	Loss 1.8238 (1.8045)	Prec@1 54.688 (52.683)	Prec@5 80.469 (81.927)
Epoch: [79][6450/14090]	Time 0.779 (0.750)	Data 0.001 (0.002)	Loss 1.7576 (1.8045)	Prec@1 56.250 (52.683)	Prec@5 84.375 (81.928)
Epoch: [79][6460/14090]	Time 0.725 (0.750)	Data 0.001 (0.002)	Loss 1.8147 (1.8044)	Prec@1 53.906 (52.685)	Prec@5 82.812 (81.930)
Epoch: [79][6470/14090]	Time 0.774 (0.750)	Data 0.001 (0.002)	Loss 1.7262 (1.8045)	Prec@1 61.719 (52.685)	Prec@5 83.594 (81.928)
Epoch: [79][6480/14090]	Time 0.773 (0.750)	Data 0.001 (0.002)	Loss 1.9488 (1.8045)	Prec@1 49.219 (52.686)	Prec@5 78.125 (81.927)
Epoch: [79][6490/14090]	Time 0.733 (0.750)	Data 0.001 (0.002)	Loss 1.5952 (1.8046)	Prec@1 53.906 (52.682)	Prec@5 85.938 (81.925)
Epoch: [79][6500/14090]	Time 0.757 (0.750)	Data 0.001 (0.002)	Loss 1.9927 (1.8046)	Prec@1 46.875 (52.680)	Prec@5 78.906 (81.924)
Epoch: [79][6510/14090]	Time 0.745 (0.750)	Data 0.002 (0.002)	Loss 1.6921 (1.8046)	Prec@1 51.562 (52.678)	Prec@5 84.375 (81.924)
Epoch: [79][6520/14090]	Time 0.730 (0.750)	Data 0.001 (0.002)	Loss 1.7941 (1.8046)	Prec@1 50.000 (52.679)	Prec@5 83.594 (81.927)
Epoch: [79][6530/14090]	Time 0.744 (0.750)	Data 0.001 (0.002)	Loss 1.9938 (1.8046)	Prec@1 47.656 (52.676)	Prec@5 78.906 (81.925)
Epoch: [79][6540/14090]	Time 0.745 (0.750)	Data 0.001 (0.002)	Loss 2.2193 (1.8046)	Prec@1 40.625 (52.674)	Prec@5 78.125 (81.925)
Epoch: [79][6550/14090]	Time 0.746 (0.750)	Data 0.001 (0.002)	Loss 1.8984 (1.8049)	Prec@1 50.781 (52.669)	Prec@5 79.688 (81.920)
Epoch: [79][6560/14090]	Time 0.738 (0.750)	Data 0.001 (0.002)	Loss 1.5587 (1.8048)	Prec@1 56.250 (52.671)	Prec@5 82.812 (81.922)
Epoch: [79][6570/14090]	Time 0.737 (0.750)	Data 0.001 (0.002)	Loss 1.5448 (1.8048)	Prec@1 54.688 (52.666)	Prec@5 85.156 (81.921)
Epoch: [79][6580/14090]	Time 0.736 (0.750)	Data 0.002 (0.002)	Loss 2.0137 (1.8049)	Prec@1 47.656 (52.666)	Prec@5 79.688 (81.922)
Epoch: [79][6590/14090]	Time 0.743 (0.750)	Data 0.001 (0.002)	Loss 1.9980 (1.8049)	Prec@1 50.000 (52.665)	Prec@5 76.562 (81.921)
Epoch: [79][6600/14090]	Time 0.731 (0.750)	Data 0.001 (0.002)	Loss 1.6467 (1.8049)	Prec@1 60.156 (52.668)	Prec@5 86.719 (81.925)
Epoch: [79][6610/14090]	Time 0.763 (0.750)	Data 0.001 (0.002)	Loss 1.8334 (1.8049)	Prec@1 54.688 (52.667)	Prec@5 78.125 (81.926)
Epoch: [79][6620/14090]	Time 0.731 (0.750)	Data 0.001 (0.002)	Loss 1.7648 (1.8048)	Prec@1 55.469 (52.669)	Prec@5 82.031 (81.926)
Epoch: [79][6630/14090]	Time 0.754 (0.750)	Data 0.001 (0.002)	Loss 1.7946 (1.8049)	Prec@1 54.688 (52.669)	Prec@5 83.594 (81.925)
Epoch: [79][6640/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 1.8312 (1.8049)	Prec@1 53.906 (52.668)	Prec@5 79.688 (81.924)
Epoch: [79][6650/14090]	Time 0.744 (0.750)	Data 0.002 (0.002)	Loss 2.0199 (1.8050)	Prec@1 50.000 (52.669)	Prec@5 78.906 (81.923)
Epoch: [79][6660/14090]	Time 0.727 (0.750)	Data 0.001 (0.002)	Loss 1.8430 (1.8049)	Prec@1 52.344 (52.670)	Prec@5 82.031 (81.924)
Epoch: [79][6670/14090]	Time 0.741 (0.750)	Data 0.001 (0.002)	Loss 1.7637 (1.8050)	Prec@1 53.125 (52.671)	Prec@5 85.156 (81.923)
Epoch: [79][6680/14090]	Time 0.771 (0.750)	Data 0.001 (0.002)	Loss 1.8306 (1.8050)	Prec@1 51.562 (52.670)	Prec@5 82.031 (81.922)
Epoch: [79][6690/14090]	Time 0.735 (0.750)	Data 0.001 (0.002)	Loss 1.8738 (1.8050)	Prec@1 54.688 (52.671)	Prec@5 79.688 (81.921)
Epoch: [79][6700/14090]	Time 0.755 (0.750)	Data 0.001 (0.002)	Loss 1.7311 (1.8050)	Prec@1 52.344 (52.671)	Prec@5 82.031 (81.922)
Epoch: [79][6710/14090]	Time 0.758 (0.750)	Data 0.001 (0.002)	Loss 1.7339 (1.8051)	Prec@1 52.344 (52.672)	Prec@5 82.812 (81.921)
Epoch: [79][6720/14090]	Time 0.748 (0.750)	Data 0.002 (0.002)	Loss 2.0746 (1.8051)	Prec@1 49.219 (52.672)	Prec@5 75.000 (81.921)
Epoch: [79][6730/14090]	Time 0.739 (0.750)	Data 0.001 (0.002)	Loss 1.8224 (1.8051)	Prec@1 53.125 (52.675)	Prec@5 81.250 (81.922)
Epoch: [79][6740/14090]	Time 0.778 (0.750)	Data 0.001 (0.002)	Loss 1.8585 (1.8051)	Prec@1 50.781 (52.673)	Prec@5 78.906 (81.921)
Epoch: [79][6750/14090]	Time 0.743 (0.750)	Data 0.001 (0.002)	Loss 1.6949 (1.8051)	Prec@1 53.906 (52.672)	Prec@5 81.250 (81.921)
Epoch: [79][6760/14090]	Time 0.776 (0.750)	Data 0.001 (0.002)	Loss 1.8520 (1.8052)	Prec@1 53.906 (52.673)	Prec@5 76.562 (81.920)
Epoch: [79][6770/14090]	Time 0.764 (0.750)	Data 0.001 (0.002)	Loss 1.6307 (1.8051)	Prec@1 53.906 (52.673)	Prec@5 88.281 (81.920)
Epoch: [79][6780/14090]	Time 0.740 (0.750)	Data 0.001 (0.002)	Loss 1.8240 (1.8052)	Prec@1 55.469 (52.673)	Prec@5 78.125 (81.918)
Epoch: [79][6790/14090]	Time 0.748 (0.750)	Data 0.002 (0.002)	Loss 1.6573 (1.8052)	Prec@1 55.469 (52.674)	Prec@5 79.688 (81.918)
Epoch: [79][6800/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 1.7284 (1.8052)	Prec@1 56.250 (52.673)	Prec@5 82.031 (81.918)
Epoch: [79][6810/14090]	Time 0.745 (0.750)	Data 0.001 (0.002)	Loss 1.8689 (1.8051)	Prec@1 50.781 (52.673)	Prec@5 78.906 (81.918)
Epoch: [79][6820/14090]	Time 0.754 (0.750)	Data 0.001 (0.002)	Loss 1.8457 (1.8052)	Prec@1 54.688 (52.673)	Prec@5 78.906 (81.916)
Epoch: [79][6830/14090]	Time 0.773 (0.750)	Data 0.001 (0.002)	Loss 1.9289 (1.8052)	Prec@1 46.875 (52.673)	Prec@5 82.031 (81.916)
Epoch: [79][6840/14090]	Time 0.757 (0.750)	Data 0.001 (0.002)	Loss 1.6883 (1.8052)	Prec@1 60.156 (52.674)	Prec@5 82.812 (81.915)
Epoch: [79][6850/14090]	Time 0.744 (0.750)	Data 0.001 (0.002)	Loss 1.7191 (1.8051)	Prec@1 55.469 (52.677)	Prec@5 85.938 (81.916)
Epoch: [79][6860/14090]	Time 0.731 (0.750)	Data 0.002 (0.002)	Loss 1.7896 (1.8050)	Prec@1 53.125 (52.676)	Prec@5 84.375 (81.917)
Epoch: [79][6870/14090]	Time 0.765 (0.750)	Data 0.001 (0.002)	Loss 1.7163 (1.8049)	Prec@1 60.156 (52.679)	Prec@5 84.375 (81.921)
Epoch: [79][6880/14090]	Time 0.739 (0.750)	Data 0.001 (0.002)	Loss 1.6144 (1.8049)	Prec@1 57.812 (52.684)	Prec@5 89.844 (81.924)
Epoch: [79][6890/14090]	Time 0.725 (0.750)	Data 0.001 (0.002)	Loss 1.8411 (1.8048)	Prec@1 57.031 (52.683)	Prec@5 80.469 (81.925)
Epoch: [79][6900/14090]	Time 0.761 (0.750)	Data 0.002 (0.002)	Loss 1.9889 (1.8048)	Prec@1 50.000 (52.682)	Prec@5 78.906 (81.926)
Epoch: [79][6910/14090]	Time 0.754 (0.750)	Data 0.001 (0.002)	Loss 1.7040 (1.8048)	Prec@1 60.938 (52.682)	Prec@5 87.500 (81.926)
Epoch: [79][6920/14090]	Time 0.773 (0.750)	Data 0.001 (0.002)	Loss 2.1394 (1.8049)	Prec@1 48.438 (52.679)	Prec@5 75.781 (81.925)
Epoch: [79][6930/14090]	Time 0.760 (0.750)	Data 0.002 (0.002)	Loss 1.4903 (1.8048)	Prec@1 57.031 (52.681)	Prec@5 85.938 (81.926)
Epoch: [79][6940/14090]	Time 0.732 (0.750)	Data 0.001 (0.002)	Loss 1.7416 (1.8049)	Prec@1 54.688 (52.678)	Prec@5 83.594 (81.926)
Epoch: [79][6950/14090]	Time 0.744 (0.750)	Data 0.001 (0.002)	Loss 1.8468 (1.8049)	Prec@1 52.344 (52.678)	Prec@5 78.906 (81.924)
Epoch: [79][6960/14090]	Time 0.757 (0.750)	Data 0.001 (0.002)	Loss 1.9595 (1.8048)	Prec@1 53.125 (52.678)	Prec@5 79.688 (81.926)
Epoch: [79][6970/14090]	Time 0.781 (0.750)	Data 0.001 (0.002)	Loss 1.8941 (1.8050)	Prec@1 46.875 (52.672)	Prec@5 78.906 (81.925)
Epoch: [79][6980/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 1.8206 (1.8050)	Prec@1 57.812 (52.672)	Prec@5 80.469 (81.926)
Epoch: [79][6990/14090]	Time 0.745 (0.750)	Data 0.001 (0.002)	Loss 2.1338 (1.8051)	Prec@1 41.406 (52.668)	Prec@5 80.469 (81.925)
Epoch: [79][7000/14090]	Time 0.742 (0.750)	Data 0.002 (0.002)	Loss 1.5867 (1.8051)	Prec@1 57.812 (52.667)	Prec@5 83.594 (81.924)
Epoch: [79][7010/14090]	Time 0.747 (0.750)	Data 0.001 (0.002)	Loss 1.8627 (1.8052)	Prec@1 51.562 (52.665)	Prec@5 78.125 (81.925)
Epoch: [79][7020/14090]	Time 0.731 (0.750)	Data 0.001 (0.002)	Loss 1.9562 (1.8052)	Prec@1 42.969 (52.664)	Prec@5 79.688 (81.923)
Epoch: [79][7030/14090]	Time 0.730 (0.750)	Data 0.001 (0.002)	Loss 1.7662 (1.8052)	Prec@1 50.781 (52.663)	Prec@5 85.156 (81.923)
Epoch: [79][7040/14090]	Time 0.741 (0.750)	Data 0.001 (0.002)	Loss 1.7358 (1.8052)	Prec@1 56.250 (52.664)	Prec@5 84.375 (81.923)
Epoch: [79][7050/14090]	Time 0.733 (0.750)	Data 0.001 (0.002)	Loss 1.8173 (1.8052)	Prec@1 53.125 (52.665)	Prec@5 82.031 (81.923)
Epoch: [79][7060/14090]	Time 0.784 (0.750)	Data 0.001 (0.002)	Loss 2.1028 (1.8053)	Prec@1 43.750 (52.664)	Prec@5 78.125 (81.924)
Epoch: [79][7070/14090]	Time 0.731 (0.750)	Data 0.002 (0.002)	Loss 1.3995 (1.8052)	Prec@1 64.844 (52.667)	Prec@5 87.500 (81.924)
Epoch: [79][7080/14090]	Time 0.775 (0.750)	Data 0.001 (0.002)	Loss 1.9252 (1.8051)	Prec@1 53.125 (52.669)	Prec@5 78.125 (81.926)
Epoch: [79][7090/14090]	Time 0.763 (0.750)	Data 0.001 (0.002)	Loss 1.9202 (1.8052)	Prec@1 48.438 (52.668)	Prec@5 79.688 (81.926)
Epoch: [79][7100/14090]	Time 0.768 (0.750)	Data 0.001 (0.002)	Loss 1.7638 (1.8053)	Prec@1 49.219 (52.664)	Prec@5 85.156 (81.924)
Epoch: [79][7110/14090]	Time 0.762 (0.750)	Data 0.001 (0.002)	Loss 1.7847 (1.8053)	Prec@1 46.875 (52.664)	Prec@5 82.812 (81.925)
Epoch: [79][7120/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 1.8733 (1.8054)	Prec@1 51.562 (52.661)	Prec@5 81.250 (81.925)
Epoch: [79][7130/14090]	Time 0.776 (0.750)	Data 0.001 (0.002)	Loss 1.9785 (1.8055)	Prec@1 53.906 (52.658)	Prec@5 83.594 (81.926)
Epoch: [79][7140/14090]	Time 0.740 (0.750)	Data 0.002 (0.002)	Loss 1.8028 (1.8055)	Prec@1 50.000 (52.656)	Prec@5 79.688 (81.925)
Epoch: [79][7150/14090]	Time 0.768 (0.750)	Data 0.001 (0.002)	Loss 1.8234 (1.8054)	Prec@1 47.656 (52.659)	Prec@5 78.125 (81.925)
Epoch: [79][7160/14090]	Time 0.756 (0.750)	Data 0.001 (0.002)	Loss 2.1026 (1.8054)	Prec@1 53.906 (52.660)	Prec@5 78.906 (81.926)
Epoch: [79][7170/14090]	Time 0.758 (0.750)	Data 0.001 (0.002)	Loss 1.7833 (1.8055)	Prec@1 47.656 (52.658)	Prec@5 85.156 (81.924)
Epoch: [79][7180/14090]	Time 0.755 (0.750)	Data 0.001 (0.002)	Loss 1.8961 (1.8055)	Prec@1 48.438 (52.658)	Prec@5 80.469 (81.926)
Epoch: [79][7190/14090]	Time 0.788 (0.750)	Data 0.001 (0.002)	Loss 1.7295 (1.8054)	Prec@1 49.219 (52.659)	Prec@5 82.812 (81.926)
Epoch: [79][7200/14090]	Time 0.753 (0.750)	Data 0.001 (0.002)	Loss 1.9451 (1.8054)	Prec@1 48.438 (52.659)	Prec@5 78.906 (81.928)
Epoch: [79][7210/14090]	Time 0.744 (0.750)	Data 0.002 (0.002)	Loss 1.9810 (1.8054)	Prec@1 52.344 (52.659)	Prec@5 78.125 (81.928)
Epoch: [79][7220/14090]	Time 0.742 (0.750)	Data 0.001 (0.002)	Loss 2.1056 (1.8054)	Prec@1 46.094 (52.659)	Prec@5 75.000 (81.926)
Epoch: [79][7230/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 2.2204 (1.8055)	Prec@1 42.969 (52.658)	Prec@5 74.219 (81.924)
Epoch: [79][7240/14090]	Time 0.735 (0.750)	Data 0.001 (0.002)	Loss 1.6276 (1.8055)	Prec@1 60.156 (52.656)	Prec@5 84.375 (81.926)
Epoch: [79][7250/14090]	Time 0.737 (0.750)	Data 0.001 (0.002)	Loss 1.5564 (1.8056)	Prec@1 60.156 (52.656)	Prec@5 85.156 (81.925)
Epoch: [79][7260/14090]	Time 0.737 (0.750)	Data 0.001 (0.002)	Loss 1.5989 (1.8056)	Prec@1 57.031 (52.652)	Prec@5 83.594 (81.926)
Epoch: [79][7270/14090]	Time 0.747 (0.750)	Data 0.001 (0.002)	Loss 1.6711 (1.8057)	Prec@1 54.688 (52.651)	Prec@5 82.812 (81.924)
Epoch: [79][7280/14090]	Time 0.744 (0.750)	Data 0.002 (0.002)	Loss 1.7219 (1.8057)	Prec@1 54.688 (52.653)	Prec@5 80.469 (81.926)
Epoch: [79][7290/14090]	Time 0.753 (0.750)	Data 0.001 (0.002)	Loss 1.9453 (1.8057)	Prec@1 46.875 (52.651)	Prec@5 84.375 (81.925)
Epoch: [79][7300/14090]	Time 0.733 (0.750)	Data 0.001 (0.002)	Loss 1.6709 (1.8057)	Prec@1 58.594 (52.651)	Prec@5 79.688 (81.926)
Epoch: [79][7310/14090]	Time 0.725 (0.750)	Data 0.001 (0.002)	Loss 1.8293 (1.8056)	Prec@1 52.344 (52.650)	Prec@5 77.344 (81.926)
Epoch: [79][7320/14090]	Time 0.759 (0.750)	Data 0.001 (0.002)	Loss 1.5851 (1.8056)	Prec@1 58.594 (52.651)	Prec@5 84.375 (81.925)
Epoch: [79][7330/14090]	Time 0.730 (0.750)	Data 0.001 (0.002)	Loss 1.7092 (1.8055)	Prec@1 53.906 (52.653)	Prec@5 86.719 (81.926)
Epoch: [79][7340/14090]	Time 0.776 (0.750)	Data 0.001 (0.002)	Loss 1.7427 (1.8056)	Prec@1 59.375 (52.650)	Prec@5 78.125 (81.923)
Epoch: [79][7350/14090]	Time 0.749 (0.750)	Data 0.002 (0.002)	Loss 1.8280 (1.8056)	Prec@1 49.219 (52.652)	Prec@5 80.469 (81.924)
Epoch: [79][7360/14090]	Time 0.743 (0.750)	Data 0.001 (0.002)	Loss 1.6596 (1.8056)	Prec@1 49.219 (52.653)	Prec@5 84.375 (81.924)
Epoch: [79][7370/14090]	Time 0.760 (0.750)	Data 0.001 (0.002)	Loss 1.8379 (1.8056)	Prec@1 51.562 (52.653)	Prec@5 81.250 (81.924)
Epoch: [79][7380/14090]	Time 0.738 (0.750)	Data 0.001 (0.002)	Loss 1.7892 (1.8057)	Prec@1 51.562 (52.651)	Prec@5 82.031 (81.922)
Epoch: [79][7390/14090]	Time 0.761 (0.750)	Data 0.001 (0.002)	Loss 2.0142 (1.8057)	Prec@1 48.438 (52.651)	Prec@5 78.125 (81.922)
Epoch: [79][7400/14090]	Time 0.748 (0.750)	Data 0.001 (0.002)	Loss 1.8126 (1.8057)	Prec@1 54.688 (52.650)	Prec@5 82.031 (81.922)
Epoch: [79][7410/14090]	Time 0.755 (0.750)	Data 0.001 (0.002)	Loss 1.7621 (1.8057)	Prec@1 52.344 (52.649)	Prec@5 80.469 (81.923)
Epoch: [79][7420/14090]	Time 0.741 (0.750)	Data 0.002 (0.002)	Loss 1.9268 (1.8057)	Prec@1 51.562 (52.650)	Prec@5 82.031 (81.923)
Epoch: [79][7430/14090]	Time 0.734 (0.750)	Data 0.001 (0.002)	Loss 1.7168 (1.8056)	Prec@1 52.344 (52.651)	Prec@5 87.500 (81.924)
Epoch: [79][7440/14090]	Time 0.761 (0.750)	Data 0.001 (0.002)	Loss 1.9061 (1.8057)	Prec@1 57.031 (52.653)	Prec@5 80.469 (81.922)
Epoch: [79][7450/14090]	Time 0.742 (0.750)	Data 0.001 (0.002)	Loss 1.9376 (1.8057)	Prec@1 50.000 (52.652)	Prec@5 76.562 (81.921)
Epoch: [79][7460/14090]	Time 0.754 (0.750)	Data 0.001 (0.002)	Loss 1.6263 (1.8057)	Prec@1 58.594 (52.654)	Prec@5 82.812 (81.920)
Epoch: [79][7470/14090]	Time 0.732 (0.750)	Data 0.001 (0.002)	Loss 1.8214 (1.8056)	Prec@1 47.656 (52.655)	Prec@5 79.688 (81.921)
Epoch: [79][7480/14090]	Time 0.759 (0.750)	Data 0.001 (0.002)	Loss 1.9078 (1.8055)	Prec@1 50.000 (52.657)	Prec@5 84.375 (81.923)
Epoch: [79][7490/14090]	Time 0.757 (0.750)	Data 0.002 (0.002)	Loss 1.8049 (1.8056)	Prec@1 53.906 (52.657)	Prec@5 84.375 (81.923)
Epoch: [79][7500/14090]	Time 0.736 (0.750)	Data 0.001 (0.002)	Loss 1.8975 (1.8055)	Prec@1 50.781 (52.660)	Prec@5 82.031 (81.923)
Epoch: [79][7510/14090]	Time 0.730 (0.750)	Data 0.001 (0.002)	Loss 1.8343 (1.8055)	Prec@1 55.469 (52.658)	Prec@5 80.469 (81.923)
Epoch: [79][7520/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 1.7016 (1.8055)	Prec@1 55.469 (52.660)	Prec@5 87.500 (81.924)
Epoch: [79][7530/14090]	Time 0.758 (0.750)	Data 0.001 (0.002)	Loss 1.8117 (1.8053)	Prec@1 47.656 (52.660)	Prec@5 83.594 (81.926)
Epoch: [79][7540/14090]	Time 0.726 (0.750)	Data 0.001 (0.002)	Loss 1.8172 (1.8054)	Prec@1 57.031 (52.659)	Prec@5 82.031 (81.924)
Epoch: [79][7550/14090]	Time 0.756 (0.750)	Data 0.001 (0.002)	Loss 1.9450 (1.8054)	Prec@1 46.875 (52.659)	Prec@5 78.125 (81.923)
Epoch: [79][7560/14090]	Time 0.743 (0.750)	Data 0.002 (0.002)	Loss 1.8920 (1.8053)	Prec@1 46.094 (52.663)	Prec@5 82.031 (81.925)
Epoch: [79][7570/14090]	Time 0.765 (0.750)	Data 0.001 (0.002)	Loss 1.7763 (1.8053)	Prec@1 53.125 (52.662)	Prec@5 81.250 (81.924)
Epoch: [79][7580/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 1.8115 (1.8053)	Prec@1 61.719 (52.663)	Prec@5 81.250 (81.923)
Epoch: [79][7590/14090]	Time 0.760 (0.750)	Data 0.001 (0.002)	Loss 2.1745 (1.8054)	Prec@1 44.531 (52.662)	Prec@5 76.562 (81.922)
Epoch: [79][7600/14090]	Time 0.741 (0.750)	Data 0.001 (0.002)	Loss 1.8147 (1.8055)	Prec@1 50.000 (52.663)	Prec@5 82.031 (81.922)
Epoch: [79][7610/14090]	Time 0.733 (0.750)	Data 0.001 (0.002)	Loss 1.7818 (1.8054)	Prec@1 53.125 (52.665)	Prec@5 83.594 (81.924)
Epoch: [79][7620/14090]	Time 0.760 (0.750)	Data 0.001 (0.002)	Loss 1.7265 (1.8054)	Prec@1 50.000 (52.665)	Prec@5 85.156 (81.923)
Epoch: [79][7630/14090]	Time 0.761 (0.750)	Data 0.002 (0.002)	Loss 1.9234 (1.8054)	Prec@1 47.656 (52.664)	Prec@5 78.906 (81.922)
Epoch: [79][7640/14090]	Time 0.781 (0.750)	Data 0.001 (0.002)	Loss 1.6684 (1.8054)	Prec@1 53.125 (52.665)	Prec@5 82.812 (81.922)
Epoch: [79][7650/14090]	Time 0.728 (0.750)	Data 0.001 (0.002)	Loss 1.4745 (1.8054)	Prec@1 58.594 (52.665)	Prec@5 89.844 (81.922)
Epoch: [79][7660/14090]	Time 0.747 (0.750)	Data 0.001 (0.002)	Loss 1.6877 (1.8054)	Prec@1 53.906 (52.665)	Prec@5 85.156 (81.923)
Epoch: [79][7670/14090]	Time 0.729 (0.750)	Data 0.001 (0.002)	Loss 1.7151 (1.8054)	Prec@1 55.469 (52.661)	Prec@5 86.719 (81.924)
Epoch: [79][7680/14090]	Time 0.739 (0.750)	Data 0.001 (0.002)	Loss 1.7261 (1.8053)	Prec@1 56.250 (52.666)	Prec@5 85.938 (81.925)
Epoch: [79][7690/14090]	Time 0.737 (0.750)	Data 0.001 (0.002)	Loss 2.1061 (1.8054)	Prec@1 52.344 (52.665)	Prec@5 75.000 (81.924)
Epoch: [79][7700/14090]	Time 0.726 (0.750)	Data 0.002 (0.002)	Loss 1.9523 (1.8053)	Prec@1 47.656 (52.664)	Prec@5 78.906 (81.926)
Epoch: [79][7710/14090]	Time 0.761 (0.750)	Data 0.001 (0.002)	Loss 1.5692 (1.8053)	Prec@1 59.375 (52.664)	Prec@5 82.031 (81.926)
Epoch: [79][7720/14090]	Time 0.755 (0.750)	Data 0.001 (0.002)	Loss 2.0757 (1.8054)	Prec@1 49.219 (52.662)	Prec@5 77.344 (81.925)
Epoch: [79][7730/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 2.0466 (1.8054)	Prec@1 49.219 (52.663)	Prec@5 77.344 (81.924)
Epoch: [79][7740/14090]	Time 0.726 (0.750)	Data 0.001 (0.002)	Loss 1.7324 (1.8055)	Prec@1 60.156 (52.663)	Prec@5 82.812 (81.923)
Epoch: [79][7750/14090]	Time 0.737 (0.750)	Data 0.001 (0.002)	Loss 2.0842 (1.8055)	Prec@1 46.875 (52.663)	Prec@5 76.562 (81.922)
Epoch: [79][7760/14090]	Time 0.732 (0.750)	Data 0.001 (0.002)	Loss 1.6272 (1.8055)	Prec@1 58.594 (52.664)	Prec@5 81.250 (81.922)
Epoch: [79][7770/14090]	Time 0.738 (0.750)	Data 0.002 (0.002)	Loss 2.1329 (1.8056)	Prec@1 42.188 (52.662)	Prec@5 78.125 (81.921)
Epoch: [79][7780/14090]	Time 0.725 (0.750)	Data 0.001 (0.002)	Loss 1.8073 (1.8056)	Prec@1 52.344 (52.660)	Prec@5 84.375 (81.923)
Epoch: [79][7790/14090]	Time 0.739 (0.750)	Data 0.001 (0.002)	Loss 1.6122 (1.8056)	Prec@1 55.469 (52.659)	Prec@5 85.938 (81.923)
Epoch: [79][7800/14090]	Time 0.744 (0.750)	Data 0.001 (0.002)	Loss 1.8425 (1.8056)	Prec@1 56.250 (52.660)	Prec@5 79.688 (81.923)
Epoch: [79][7810/14090]	Time 0.736 (0.750)	Data 0.001 (0.002)	Loss 1.9229 (1.8056)	Prec@1 53.125 (52.660)	Prec@5 78.906 (81.924)
Epoch: [79][7820/14090]	Time 0.733 (0.750)	Data 0.001 (0.002)	Loss 1.8893 (1.8057)	Prec@1 51.562 (52.657)	Prec@5 81.250 (81.923)
Epoch: [79][7830/14090]	Time 0.769 (0.750)	Data 0.001 (0.002)	Loss 2.0118 (1.8058)	Prec@1 52.344 (52.654)	Prec@5 75.781 (81.921)
Epoch: [79][7840/14090]	Time 0.734 (0.750)	Data 0.002 (0.002)	Loss 1.5842 (1.8058)	Prec@1 57.031 (52.657)	Prec@5 82.812 (81.922)
Epoch: [79][7850/14090]	Time 0.740 (0.750)	Data 0.001 (0.002)	Loss 1.7697 (1.8057)	Prec@1 52.344 (52.658)	Prec@5 83.594 (81.923)
Epoch: [79][7860/14090]	Time 0.764 (0.750)	Data 0.001 (0.001)	Loss 1.8943 (1.8057)	Prec@1 50.000 (52.658)	Prec@5 81.250 (81.923)
Epoch: [79][7870/14090]	Time 0.768 (0.750)	Data 0.001 (0.001)	Loss 1.9159 (1.8058)	Prec@1 52.344 (52.656)	Prec@5 76.562 (81.922)
Epoch: [79][7880/14090]	Time 0.753 (0.750)	Data 0.001 (0.001)	Loss 1.8163 (1.8057)	Prec@1 54.688 (52.658)	Prec@5 82.031 (81.924)
Epoch: [79][7890/14090]	Time 0.755 (0.750)	Data 0.001 (0.001)	Loss 1.7219 (1.8057)	Prec@1 48.438 (52.659)	Prec@5 83.594 (81.926)
Epoch: [79][7900/14090]	Time 0.751 (0.750)	Data 0.001 (0.001)	Loss 1.8779 (1.8057)	Prec@1 53.906 (52.656)	Prec@5 80.469 (81.924)
Epoch: [79][7910/14090]	Time 0.727 (0.750)	Data 0.002 (0.001)	Loss 1.7568 (1.8057)	Prec@1 51.562 (52.655)	Prec@5 87.500 (81.925)
Epoch: [79][7920/14090]	Time 0.765 (0.750)	Data 0.001 (0.001)	Loss 1.7434 (1.8057)	Prec@1 56.250 (52.656)	Prec@5 80.469 (81.926)
Epoch: [79][7930/14090]	Time 0.732 (0.750)	Data 0.001 (0.001)	Loss 1.7486 (1.8057)	Prec@1 56.250 (52.656)	Prec@5 82.812 (81.923)
Epoch: [79][7940/14090]	Time 0.759 (0.750)	Data 0.001 (0.001)	Loss 1.9329 (1.8057)	Prec@1 46.875 (52.656)	Prec@5 81.250 (81.925)
Epoch: [79][7950/14090]	Time 0.751 (0.750)	Data 0.001 (0.001)	Loss 1.6294 (1.8056)	Prec@1 59.375 (52.656)	Prec@5 85.156 (81.925)
Epoch: [79][7960/14090]	Time 0.776 (0.750)	Data 0.001 (0.001)	Loss 1.7741 (1.8056)	Prec@1 59.375 (52.655)	Prec@5 79.688 (81.925)
Epoch: [79][7970/14090]	Time 0.769 (0.750)	Data 0.001 (0.001)	Loss 1.7349 (1.8056)	Prec@1 58.594 (52.658)	Prec@5 84.375 (81.926)
Epoch: [79][7980/14090]	Time 0.751 (0.750)	Data 0.002 (0.001)	Loss 1.8566 (1.8057)	Prec@1 51.562 (52.654)	Prec@5 85.938 (81.926)
Epoch: [79][7990/14090]	Time 0.726 (0.750)	Data 0.001 (0.001)	Loss 1.8823 (1.8057)	Prec@1 50.000 (52.653)	Prec@5 79.688 (81.925)
Epoch: [79][8000/14090]	Time 0.735 (0.750)	Data 0.001 (0.001)	Loss 1.6314 (1.8057)	Prec@1 60.156 (52.650)	Prec@5 82.031 (81.924)
Epoch: [79][8010/14090]	Time 0.746 (0.750)	Data 0.001 (0.001)	Loss 1.8714 (1.8058)	Prec@1 51.562 (52.650)	Prec@5 79.688 (81.924)
Epoch: [79][8020/14090]	Time 0.730 (0.750)	Data 0.001 (0.001)	Loss 1.7923 (1.8057)	Prec@1 49.219 (52.650)	Prec@5 83.594 (81.924)
Epoch: [79][8030/14090]	Time 0.775 (0.750)	Data 0.001 (0.001)	Loss 1.7584 (1.8057)	Prec@1 56.250 (52.652)	Prec@5 78.906 (81.925)
Epoch: [79][8040/14090]	Time 0.748 (0.750)	Data 0.001 (0.001)	Loss 1.7806 (1.8057)	Prec@1 47.656 (52.653)	Prec@5 81.250 (81.925)
Epoch: [79][8050/14090]	Time 0.771 (0.750)	Data 0.002 (0.001)	Loss 1.8093 (1.8057)	Prec@1 50.000 (52.654)	Prec@5 78.125 (81.923)
Epoch: [79][8060/14090]	Time 0.747 (0.750)	Data 0.001 (0.001)	Loss 1.7765 (1.8057)	Prec@1 52.344 (52.653)	Prec@5 81.250 (81.922)
Epoch: [79][8070/14090]	Time 0.732 (0.750)	Data 0.001 (0.001)	Loss 1.8242 (1.8059)	Prec@1 56.250 (52.651)	Prec@5 81.250 (81.920)
Epoch: [79][8080/14090]	Time 0.746 (0.750)	Data 0.001 (0.001)	Loss 1.7417 (1.8060)	Prec@1 53.906 (52.651)	Prec@5 79.688 (81.919)
Epoch: [79][8090/14090]	Time 0.752 (0.750)	Data 0.001 (0.001)	Loss 1.8635 (1.8060)	Prec@1 47.656 (52.650)	Prec@5 85.156 (81.920)
Epoch: [79][8100/14090]	Time 0.782 (0.750)	Data 0.001 (0.001)	Loss 1.5174 (1.8059)	Prec@1 60.938 (52.655)	Prec@5 91.406 (81.923)
Epoch: [79][8110/14090]	Time 0.758 (0.750)	Data 0.001 (0.001)	Loss 1.5938 (1.8058)	Prec@1 53.125 (52.655)	Prec@5 87.500 (81.927)
Epoch: [79][8120/14090]	Time 0.731 (0.750)	Data 0.002 (0.001)	Loss 1.8376 (1.8059)	Prec@1 50.000 (52.652)	Prec@5 80.469 (81.925)
Epoch: [79][8130/14090]	Time 0.741 (0.750)	Data 0.001 (0.001)	Loss 1.3977 (1.8058)	Prec@1 63.281 (52.653)	Prec@5 89.844 (81.925)
Epoch: [79][8140/14090]	Time 0.724 (0.750)	Data 0.001 (0.001)	Loss 1.6196 (1.8059)	Prec@1 57.812 (52.651)	Prec@5 85.156 (81.925)
Epoch: [79][8150/14090]	Time 0.780 (0.750)	Data 0.001 (0.001)	Loss 2.0757 (1.8058)	Prec@1 46.094 (52.653)	Prec@5 75.000 (81.928)
Epoch: [79][8160/14090]	Time 0.737 (0.750)	Data 0.001 (0.001)	Loss 1.9334 (1.8057)	Prec@1 50.000 (52.654)	Prec@5 79.688 (81.929)
Epoch: [79][8170/14090]	Time 0.759 (0.750)	Data 0.001 (0.001)	Loss 1.7580 (1.8057)	Prec@1 48.438 (52.653)	Prec@5 85.156 (81.931)
Epoch: [79][8180/14090]	Time 0.749 (0.750)	Data 0.001 (0.001)	Loss 1.6476 (1.8057)	Prec@1 59.375 (52.653)	Prec@5 83.594 (81.930)
Epoch: [79][8190/14090]	Time 0.763 (0.750)	Data 0.002 (0.001)	Loss 2.1901 (1.8058)	Prec@1 44.531 (52.650)	Prec@5 78.125 (81.930)
Epoch: [79][8200/14090]	Time 0.739 (0.750)	Data 0.001 (0.001)	Loss 1.7484 (1.8057)	Prec@1 47.656 (52.650)	Prec@5 83.594 (81.934)
Epoch: [79][8210/14090]	Time 0.751 (0.750)	Data 0.001 (0.001)	Loss 1.7955 (1.8056)	Prec@1 53.125 (52.651)	Prec@5 84.375 (81.935)
Epoch: [79][8220/14090]	Time 0.778 (0.750)	Data 0.001 (0.001)	Loss 1.7437 (1.8055)	Prec@1 50.781 (52.651)	Prec@5 82.031 (81.936)
Epoch: [79][8230/14090]	Time 0.760 (0.750)	Data 0.001 (0.001)	Loss 1.9774 (1.8056)	Prec@1 50.000 (52.649)	Prec@5 72.656 (81.933)
Epoch: [79][8240/14090]	Time 0.755 (0.750)	Data 0.001 (0.001)	Loss 1.9790 (1.8056)	Prec@1 49.219 (52.649)	Prec@5 82.812 (81.935)
Epoch: [79][8250/14090]	Time 0.757 (0.750)	Data 0.001 (0.001)	Loss 1.6053 (1.8055)	Prec@1 56.250 (52.652)	Prec@5 84.375 (81.936)
Epoch: [79][8260/14090]	Time 0.745 (0.750)	Data 0.002 (0.001)	Loss 2.0152 (1.8056)	Prec@1 52.344 (52.650)	Prec@5 78.125 (81.935)
Epoch: [79][8270/14090]	Time 0.722 (0.750)	Data 0.001 (0.001)	Loss 1.9094 (1.8055)	Prec@1 50.781 (52.650)	Prec@5 75.781 (81.935)
Epoch: [79][8280/14090]	Time 0.734 (0.750)	Data 0.001 (0.001)	Loss 1.8497 (1.8056)	Prec@1 57.031 (52.648)	Prec@5 80.469 (81.932)
Epoch: [79][8290/14090]	Time 0.754 (0.750)	Data 0.001 (0.001)	Loss 1.8165 (1.8057)	Prec@1 48.438 (52.646)	Prec@5 84.375 (81.932)
Epoch: [79][8300/14090]	Time 0.770 (0.750)	Data 0.001 (0.001)	Loss 1.8597 (1.8056)	Prec@1 46.875 (52.646)	Prec@5 85.938 (81.932)
Epoch: [79][8310/14090]	Time 0.749 (0.750)	Data 0.001 (0.001)	Loss 1.8909 (1.8057)	Prec@1 53.906 (52.646)	Prec@5 80.469 (81.932)
Epoch: [79][8320/14090]	Time 0.752 (0.750)	Data 0.001 (0.001)	Loss 1.8536 (1.8056)	Prec@1 46.875 (52.645)	Prec@5 82.812 (81.932)
Epoch: [79][8330/14090]	Time 0.780 (0.750)	Data 0.002 (0.001)	Loss 1.6503 (1.8056)	Prec@1 52.344 (52.646)	Prec@5 85.156 (81.933)
Epoch: [79][8340/14090]	Time 0.742 (0.750)	Data 0.001 (0.001)	Loss 1.7733 (1.8056)	Prec@1 59.375 (52.646)	Prec@5 81.250 (81.931)
Epoch: [79][8350/14090]	Time 0.772 (0.750)	Data 0.001 (0.001)	Loss 1.8908 (1.8056)	Prec@1 46.094 (52.646)	Prec@5 82.031 (81.932)
Epoch: [79][8360/14090]	Time 0.742 (0.750)	Data 0.001 (0.001)	Loss 1.8002 (1.8058)	Prec@1 53.125 (52.646)	Prec@5 83.594 (81.928)
Epoch: [79][8370/14090]	Time 0.750 (0.750)	Data 0.001 (0.001)	Loss 1.6422 (1.8058)	Prec@1 55.469 (52.645)	Prec@5 83.594 (81.928)
Epoch: [79][8380/14090]	Time 0.751 (0.750)	Data 0.001 (0.001)	Loss 1.7530 (1.8058)	Prec@1 54.688 (52.645)	Prec@5 82.031 (81.928)
Epoch: [79][8390/14090]	Time 0.747 (0.750)	Data 0.001 (0.001)	Loss 2.0298 (1.8058)	Prec@1 46.094 (52.645)	Prec@5 78.125 (81.929)
Epoch: [79][8400/14090]	Time 0.758 (0.750)	Data 0.002 (0.001)	Loss 2.0699 (1.8058)	Prec@1 53.125 (52.644)	Prec@5 79.688 (81.929)
Epoch: [79][8410/14090]	Time 0.748 (0.750)	Data 0.001 (0.001)	Loss 1.6505 (1.8059)	Prec@1 53.125 (52.641)	Prec@5 85.938 (81.929)
Epoch: [79][8420/14090]	Time 0.730 (0.750)	Data 0.001 (0.001)	Loss 1.4213 (1.8059)	Prec@1 59.375 (52.640)	Prec@5 87.500 (81.930)
Epoch: [79][8430/14090]	Time 0.737 (0.750)	Data 0.001 (0.001)	Loss 1.9110 (1.8060)	Prec@1 48.438 (52.634)	Prec@5 84.375 (81.929)
Epoch: [79][8440/14090]	Time 0.740 (0.750)	Data 0.001 (0.001)	Loss 1.8035 (1.8059)	Prec@1 44.531 (52.634)	Prec@5 85.156 (81.930)
Epoch: [79][8450/14090]	Time 0.752 (0.750)	Data 0.001 (0.001)	Loss 1.8868 (1.8060)	Prec@1 51.562 (52.634)	Prec@5 79.688 (81.928)
Epoch: [79][8460/14090]	Time 0.740 (0.750)	Data 0.001 (0.001)	Loss 2.1299 (1.8060)	Prec@1 49.219 (52.633)	Prec@5 76.562 (81.927)
Epoch: [79][8470/14090]	Time 0.736 (0.750)	Data 0.002 (0.001)	Loss 1.8180 (1.8061)	Prec@1 52.344 (52.631)	Prec@5 82.031 (81.926)
Epoch: [79][8480/14090]	Time 0.743 (0.750)	Data 0.001 (0.001)	Loss 1.9385 (1.8060)	Prec@1 51.562 (52.634)	Prec@5 82.031 (81.927)
Epoch: [79][8490/14090]	Time 0.736 (0.750)	Data 0.001 (0.001)	Loss 1.7025 (1.8060)	Prec@1 60.156 (52.633)	Prec@5 86.719 (81.928)
Epoch: [79][8500/14090]	Time 0.753 (0.750)	Data 0.001 (0.001)	Loss 1.8759 (1.8061)	Prec@1 50.781 (52.629)	Prec@5 81.250 (81.927)
Epoch: [79][8510/14090]	Time 0.758 (0.750)	Data 0.001 (0.001)	Loss 2.0159 (1.8062)	Prec@1 42.969 (52.626)	Prec@5 79.688 (81.927)
Epoch: [79][8520/14090]	Time 0.728 (0.750)	Data 0.001 (0.001)	Loss 1.6236 (1.8062)	Prec@1 50.000 (52.626)	Prec@5 86.719 (81.927)
Epoch: [79][8530/14090]	Time 0.747 (0.750)	Data 0.001 (0.001)	Loss 1.6512 (1.8061)	Prec@1 52.344 (52.627)	Prec@5 83.594 (81.928)
Epoch: [79][8540/14090]	Time 0.740 (0.750)	Data 0.002 (0.001)	Loss 1.9205 (1.8062)	Prec@1 47.656 (52.624)	Prec@5 78.906 (81.927)
Epoch: [79][8550/14090]	Time 0.783 (0.750)	Data 0.001 (0.001)	Loss 1.8389 (1.8062)	Prec@1 53.906 (52.624)	Prec@5 82.812 (81.927)
Epoch: [79][8560/14090]	Time 0.739 (0.750)	Data 0.001 (0.001)	Loss 1.8558 (1.8063)	Prec@1 55.469 (52.624)	Prec@5 78.906 (81.926)
Epoch: [79][8570/14090]	Time 0.769 (0.750)	Data 0.001 (0.001)	Loss 1.7916 (1.8063)	Prec@1 57.031 (52.625)	Prec@5 85.156 (81.926)
Epoch: [79][8580/14090]	Time 0.740 (0.750)	Data 0.001 (0.001)	Loss 1.6825 (1.8063)	Prec@1 53.125 (52.623)	Prec@5 85.938 (81.927)
Epoch: [79][8590/14090]	Time 0.734 (0.750)	Data 0.001 (0.001)	Loss 1.6954 (1.8062)	Prec@1 53.906 (52.625)	Prec@5 82.031 (81.929)
Epoch: [79][8600/14090]	Time 0.734 (0.750)	Data 0.001 (0.001)	Loss 1.7409 (1.8062)	Prec@1 51.562 (52.623)	Prec@5 78.906 (81.929)
Epoch: [79][8610/14090]	Time 0.724 (0.750)	Data 0.002 (0.001)	Loss 1.6761 (1.8062)	Prec@1 54.688 (52.622)	Prec@5 85.156 (81.929)
Epoch: [79][8620/14090]	Time 0.751 (0.750)	Data 0.001 (0.001)	Loss 1.8066 (1.8063)	Prec@1 56.250 (52.621)	Prec@5 78.125 (81.928)
Epoch: [79][8630/14090]	Time 0.758 (0.750)	Data 0.001 (0.001)	Loss 1.9097 (1.8063)	Prec@1 49.219 (52.620)	Prec@5 78.906 (81.927)
Epoch: [79][8640/14090]	Time 0.743 (0.750)	Data 0.001 (0.001)	Loss 1.5329 (1.8064)	Prec@1 58.594 (52.619)	Prec@5 88.281 (81.925)
Epoch: [79][8650/14090]	Time 0.735 (0.750)	Data 0.001 (0.001)	Loss 1.8693 (1.8065)	Prec@1 53.906 (52.618)	Prec@5 78.906 (81.924)
Epoch: [79][8660/14090]	Time 0.754 (0.750)	Data 0.001 (0.001)	Loss 1.6379 (1.8065)	Prec@1 51.562 (52.615)	Prec@5 82.031 (81.922)
Epoch: [79][8670/14090]	Time 0.736 (0.750)	Data 0.001 (0.001)	Loss 1.8701 (1.8065)	Prec@1 47.656 (52.613)	Prec@5 81.250 (81.923)
Epoch: [79][8680/14090]	Time 0.786 (0.750)	Data 0.002 (0.001)	Loss 1.7631 (1.8065)	Prec@1 57.812 (52.613)	Prec@5 81.250 (81.923)
Epoch: [79][8690/14090]	Time 0.745 (0.750)	Data 0.001 (0.001)	Loss 1.7780 (1.8064)	Prec@1 51.562 (52.615)	Prec@5 82.812 (81.924)
Epoch: [79][8700/14090]	Time 0.777 (0.750)	Data 0.001 (0.001)	Loss 2.0628 (1.8064)	Prec@1 50.000 (52.615)	Prec@5 77.344 (81.924)
Epoch: [79][8710/14090]	Time 0.767 (0.750)	Data 0.001 (0.001)	Loss 1.5252 (1.8064)	Prec@1 61.719 (52.618)	Prec@5 85.938 (81.924)
Epoch: [79][8720/14090]	Time 0.760 (0.750)	Data 0.001 (0.001)	Loss 1.5788 (1.8063)	Prec@1 61.719 (52.621)	Prec@5 81.250 (81.925)
Epoch: [79][8730/14090]	Time 0.739 (0.750)	Data 0.001 (0.001)	Loss 2.0331 (1.8064)	Prec@1 50.781 (52.619)	Prec@5 78.906 (81.923)
Epoch: [79][8740/14090]	Time 0.752 (0.750)	Data 0.001 (0.001)	Loss 1.7585 (1.8064)	Prec@1 52.344 (52.621)	Prec@5 82.812 (81.925)
Epoch: [79][8750/14090]	Time 0.750 (0.750)	Data 0.002 (0.001)	Loss 2.0294 (1.8064)	Prec@1 51.562 (52.621)	Prec@5 77.344 (81.924)
Epoch: [79][8760/14090]	Time 0.726 (0.750)	Data 0.001 (0.001)	Loss 1.6818 (1.8062)	Prec@1 51.562 (52.623)	Prec@5 85.156 (81.927)
Epoch: [79][8770/14090]	Time 0.734 (0.750)	Data 0.001 (0.001)	Loss 2.0904 (1.8063)	Prec@1 44.531 (52.624)	Prec@5 78.125 (81.925)
Epoch: [79][8780/14090]	Time 0.738 (0.750)	Data 0.001 (0.001)	Loss 1.8749 (1.8063)	Prec@1 48.438 (52.625)	Prec@5 81.250 (81.926)
Epoch: [79][8790/14090]	Time 0.725 (0.750)	Data 0.001 (0.001)	Loss 1.7657 (1.8063)	Prec@1 54.688 (52.625)	Prec@5 82.031 (81.925)
Epoch: [79][8800/14090]	Time 0.734 (0.750)	Data 0.001 (0.001)	Loss 1.9535 (1.8063)	Prec@1 53.125 (52.626)	Prec@5 77.344 (81.925)
Epoch: [79][8810/14090]	Time 0.752 (0.750)	Data 0.001 (0.001)	Loss 1.9655 (1.8063)	Prec@1 45.312 (52.627)	Prec@5 77.344 (81.924)
Epoch: [79][8820/14090]	Time 0.741 (0.750)	Data 0.002 (0.001)	Loss 1.6380 (1.8062)	Prec@1 57.812 (52.627)	Prec@5 82.812 (81.923)
Epoch: [79][8830/14090]	Time 0.731 (0.750)	Data 0.001 (0.001)	Loss 1.7363 (1.8063)	Prec@1 49.219 (52.626)	Prec@5 87.500 (81.921)
Epoch: [79][8840/14090]	Time 0.757 (0.750)	Data 0.001 (0.001)	Loss 1.8153 (1.8062)	Prec@1 58.594 (52.630)	Prec@5 79.688 (81.921)
Epoch: [79][8850/14090]	Time 0.757 (0.750)	Data 0.001 (0.001)	Loss 1.8096 (1.8063)	Prec@1 45.312 (52.626)	Prec@5 82.812 (81.921)
Epoch: [79][8860/14090]	Time 0.726 (0.750)	Data 0.001 (0.001)	Loss 1.7314 (1.8062)	Prec@1 53.906 (52.627)	Prec@5 82.031 (81.922)
Epoch: [79][8870/14090]	Time 0.748 (0.750)	Data 0.001 (0.001)	Loss 1.6156 (1.8062)	Prec@1 57.031 (52.627)	Prec@5 82.812 (81.921)
Epoch: [79][8880/14090]	Time 0.728 (0.750)	Data 0.001 (0.001)	Loss 1.9660 (1.8062)	Prec@1 49.219 (52.628)	Prec@5 78.906 (81.922)
Epoch: [79][8890/14090]	Time 0.761 (0.750)	Data 0.002 (0.001)	Loss 1.8108 (1.8061)	Prec@1 53.906 (52.630)	Prec@5 81.250 (81.923)
Epoch: [79][8900/14090]	Time 0.753 (0.750)	Data 0.001 (0.001)	Loss 1.6251 (1.8061)	Prec@1 57.812 (52.630)	Prec@5 85.938 (81.924)
Epoch: [79][8910/14090]	Time 0.764 (0.750)	Data 0.001 (0.001)	Loss 1.7437 (1.8062)	Prec@1 55.469 (52.629)	Prec@5 82.031 (81.924)
Epoch: [79][8920/14090]	Time 0.756 (0.750)	Data 0.001 (0.001)	Loss 1.6964 (1.8061)	Prec@1 53.906 (52.630)	Prec@5 82.812 (81.923)
Epoch: [79][8930/14090]	Time 0.742 (0.750)	Data 0.001 (0.001)	Loss 1.7306 (1.8061)	Prec@1 55.469 (52.630)	Prec@5 88.281 (81.926)
Epoch: [79][8940/14090]	Time 0.733 (0.750)	Data 0.001 (0.001)	Loss 1.7229 (1.8061)	Prec@1 55.469 (52.632)	Prec@5 80.469 (81.927)
Epoch: [79][8950/14090]	Time 0.750 (0.750)	Data 0.001 (0.001)	Loss 1.6384 (1.8061)	Prec@1 59.375 (52.632)	Prec@5 84.375 (81.927)
Epoch: [79][8960/14090]	Time 0.716 (0.750)	Data 0.002 (0.001)	Loss 1.7642 (1.8062)	Prec@1 53.906 (52.630)	Prec@5 84.375 (81.927)
Epoch: [79][8970/14090]	Time 0.729 (0.750)	Data 0.001 (0.001)	Loss 1.7348 (1.8061)	Prec@1 57.031 (52.632)	Prec@5 85.156 (81.929)
Epoch: [79][8980/14090]	Time 0.737 (0.750)	Data 0.001 (0.001)	Loss 1.8132 (1.8061)	Prec@1 51.562 (52.631)	Prec@5 82.031 (81.928)
Epoch: [79][8990/14090]	Time 0.757 (0.750)	Data 0.001 (0.001)	Loss 1.8464 (1.8061)	Prec@1 50.000 (52.631)	Prec@5 84.375 (81.928)
Epoch: [79][9000/14090]	Time 0.751 (0.750)	Data 0.001 (0.001)	Loss 1.7095 (1.8062)	Prec@1 49.219 (52.630)	Prec@5 85.156 (81.927)
Epoch: [79][9010/14090]	Time 0.728 (0.750)	Data 0.001 (0.001)	Loss 1.5963 (1.8061)	Prec@1 59.375 (52.631)	Prec@5 88.281 (81.928)
Epoch: [79][9020/14090]	Time 0.734 (0.750)	Data 0.001 (0.001)	Loss 1.7914 (1.8062)	Prec@1 53.906 (52.633)	Prec@5 85.156 (81.928)
Epoch: [79][9030/14090]	Time 0.749 (0.750)	Data 0.002 (0.001)	Loss 1.8679 (1.8062)	Prec@1 49.219 (52.631)	Prec@5 81.250 (81.928)
Epoch: [79][9040/14090]	Time 0.737 (0.750)	Data 0.001 (0.001)	Loss 1.8649 (1.8063)	Prec@1 49.219 (52.628)	Prec@5 85.156 (81.926)
Epoch: [79][9050/14090]	Time 0.752 (0.750)	Data 0.001 (0.001)	Loss 1.8520 (1.8062)	Prec@1 49.219 (52.627)	Prec@5 80.469 (81.927)
Epoch: [79][9060/14090]	Time 0.765 (0.750)	Data 0.001 (0.001)	Loss 2.0159 (1.8062)	Prec@1 46.875 (52.627)	Prec@5 82.031 (81.929)
Epoch: [79][9070/14090]	Time 0.748 (0.750)	Data 0.001 (0.001)	Loss 1.8589 (1.8062)	Prec@1 50.781 (52.627)	Prec@5 80.469 (81.929)
Epoch: [79][9080/14090]	Time 0.740 (0.750)	Data 0.001 (0.001)	Loss 1.6650 (1.8063)	Prec@1 54.688 (52.626)	Prec@5 86.719 (81.928)
Epoch: [79][9090/14090]	Time 0.745 (0.750)	Data 0.001 (0.001)	Loss 1.8254 (1.8063)	Prec@1 48.438 (52.625)	Prec@5 82.812 (81.927)
Epoch: [79][9100/14090]	Time 0.731 (0.749)	Data 0.002 (0.001)	Loss 1.9842 (1.8064)	Prec@1 42.969 (52.624)	Prec@5 78.125 (81.927)
Epoch: [79][9110/14090]	Time 0.773 (0.749)	Data 0.001 (0.001)	Loss 1.9818 (1.8063)	Prec@1 49.219 (52.624)	Prec@5 77.344 (81.926)
Epoch: [79][9120/14090]	Time 0.768 (0.749)	Data 0.001 (0.001)	Loss 1.7289 (1.8063)	Prec@1 54.688 (52.624)	Prec@5 83.594 (81.927)
Epoch: [79][9130/14090]	Time 0.735 (0.749)	Data 0.001 (0.001)	Loss 1.8483 (1.8064)	Prec@1 49.219 (52.623)	Prec@5 83.594 (81.926)
Epoch: [79][9140/14090]	Time 0.749 (0.749)	Data 0.001 (0.001)	Loss 1.7907 (1.8064)	Prec@1 50.781 (52.622)	Prec@5 82.812 (81.928)
Epoch: [79][9150/14090]	Time 0.747 (0.749)	Data 0.001 (0.001)	Loss 1.9934 (1.8064)	Prec@1 48.438 (52.623)	Prec@5 75.781 (81.928)
Epoch: [79][9160/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 1.6773 (1.8064)	Prec@1 57.812 (52.622)	Prec@5 85.938 (81.928)
Epoch: [79][9170/14090]	Time 0.743 (0.749)	Data 0.002 (0.001)	Loss 1.5660 (1.8064)	Prec@1 59.375 (52.624)	Prec@5 87.500 (81.929)
Epoch: [79][9180/14090]	Time 0.765 (0.749)	Data 0.001 (0.001)	Loss 2.0418 (1.8064)	Prec@1 50.000 (52.625)	Prec@5 81.250 (81.930)
Epoch: [79][9190/14090]	Time 0.735 (0.749)	Data 0.001 (0.001)	Loss 1.6410 (1.8064)	Prec@1 54.688 (52.625)	Prec@5 82.031 (81.929)
Epoch: [79][9200/14090]	Time 0.763 (0.749)	Data 0.001 (0.001)	Loss 1.6938 (1.8064)	Prec@1 57.812 (52.625)	Prec@5 82.031 (81.929)
Epoch: [79][9210/14090]	Time 0.754 (0.749)	Data 0.001 (0.001)	Loss 1.6027 (1.8063)	Prec@1 60.156 (52.629)	Prec@5 85.938 (81.931)
Epoch: [79][9220/14090]	Time 0.732 (0.749)	Data 0.001 (0.001)	Loss 1.8803 (1.8063)	Prec@1 56.250 (52.628)	Prec@5 81.250 (81.931)
Epoch: [79][9230/14090]	Time 0.744 (0.749)	Data 0.001 (0.001)	Loss 1.6939 (1.8063)	Prec@1 54.688 (52.629)	Prec@5 80.469 (81.930)
Epoch: [79][9240/14090]	Time 0.759 (0.749)	Data 0.002 (0.001)	Loss 2.0436 (1.8063)	Prec@1 43.750 (52.629)	Prec@5 79.688 (81.931)
Epoch: [79][9250/14090]	Time 0.743 (0.749)	Data 0.001 (0.001)	Loss 1.5954 (1.8064)	Prec@1 57.812 (52.627)	Prec@5 86.719 (81.929)
Epoch: [79][9260/14090]	Time 0.742 (0.749)	Data 0.001 (0.001)	Loss 2.0582 (1.8064)	Prec@1 47.656 (52.627)	Prec@5 76.562 (81.928)
Epoch: [79][9270/14090]	Time 0.779 (0.749)	Data 0.001 (0.001)	Loss 1.6792 (1.8065)	Prec@1 60.156 (52.626)	Prec@5 82.031 (81.926)
Epoch: [79][9280/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 1.9059 (1.8066)	Prec@1 50.000 (52.624)	Prec@5 81.250 (81.924)
Epoch: [79][9290/14090]	Time 0.736 (0.749)	Data 0.001 (0.001)	Loss 2.2007 (1.8067)	Prec@1 42.969 (52.621)	Prec@5 78.125 (81.922)
Epoch: [79][9300/14090]	Time 0.761 (0.749)	Data 0.001 (0.001)	Loss 1.9450 (1.8066)	Prec@1 47.656 (52.622)	Prec@5 80.469 (81.922)
Epoch: [79][9310/14090]	Time 0.726 (0.749)	Data 0.002 (0.001)	Loss 1.8289 (1.8066)	Prec@1 51.562 (52.621)	Prec@5 82.031 (81.921)
Epoch: [79][9320/14090]	Time 0.735 (0.749)	Data 0.001 (0.001)	Loss 1.8719 (1.8067)	Prec@1 46.875 (52.620)	Prec@5 82.031 (81.921)
Epoch: [79][9330/14090]	Time 0.749 (0.749)	Data 0.001 (0.001)	Loss 1.8820 (1.8068)	Prec@1 47.656 (52.618)	Prec@5 78.906 (81.919)
Epoch: [79][9340/14090]	Time 0.773 (0.749)	Data 0.001 (0.001)	Loss 1.7493 (1.8068)	Prec@1 53.125 (52.618)	Prec@5 79.688 (81.918)
Epoch: [79][9350/14090]	Time 0.762 (0.749)	Data 0.001 (0.001)	Loss 1.7097 (1.8069)	Prec@1 51.562 (52.616)	Prec@5 82.812 (81.916)
Epoch: [79][9360/14090]	Time 0.741 (0.749)	Data 0.001 (0.001)	Loss 1.7664 (1.8070)	Prec@1 46.875 (52.615)	Prec@5 85.156 (81.914)
Epoch: [79][9370/14090]	Time 0.737 (0.749)	Data 0.001 (0.001)	Loss 1.6488 (1.8069)	Prec@1 54.688 (52.615)	Prec@5 87.500 (81.916)
Epoch: [79][9380/14090]	Time 0.766 (0.749)	Data 0.002 (0.001)	Loss 1.8214 (1.8069)	Prec@1 49.219 (52.615)	Prec@5 82.031 (81.917)
Epoch: [79][9390/14090]	Time 0.725 (0.749)	Data 0.001 (0.001)	Loss 1.8811 (1.8069)	Prec@1 49.219 (52.613)	Prec@5 78.906 (81.917)
Epoch: [79][9400/14090]	Time 0.763 (0.749)	Data 0.001 (0.001)	Loss 1.5666 (1.8069)	Prec@1 59.375 (52.615)	Prec@5 85.156 (81.918)
Epoch: [79][9410/14090]	Time 0.758 (0.749)	Data 0.001 (0.001)	Loss 1.7590 (1.8069)	Prec@1 54.688 (52.614)	Prec@5 82.812 (81.918)
Epoch: [79][9420/14090]	Time 0.755 (0.749)	Data 0.001 (0.001)	Loss 1.8263 (1.8069)	Prec@1 49.219 (52.614)	Prec@5 78.906 (81.918)
Epoch: [79][9430/14090]	Time 0.756 (0.749)	Data 0.001 (0.001)	Loss 1.9415 (1.8070)	Prec@1 43.750 (52.611)	Prec@5 78.906 (81.916)
Epoch: [79][9440/14090]	Time 0.753 (0.749)	Data 0.001 (0.001)	Loss 1.8139 (1.8070)	Prec@1 50.000 (52.610)	Prec@5 82.812 (81.915)
Epoch: [79][9450/14090]	Time 0.727 (0.749)	Data 0.002 (0.001)	Loss 1.8253 (1.8070)	Prec@1 57.031 (52.612)	Prec@5 84.375 (81.915)
Epoch: [79][9460/14090]	Time 0.736 (0.749)	Data 0.001 (0.001)	Loss 1.5877 (1.8070)	Prec@1 57.031 (52.613)	Prec@5 83.594 (81.914)
Epoch: [79][9470/14090]	Time 0.755 (0.749)	Data 0.001 (0.001)	Loss 1.9569 (1.8070)	Prec@1 48.438 (52.613)	Prec@5 78.906 (81.914)
Epoch: [79][9480/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 1.5584 (1.8071)	Prec@1 54.688 (52.610)	Prec@5 85.156 (81.913)
Epoch: [79][9490/14090]	Time 0.764 (0.749)	Data 0.001 (0.001)	Loss 1.8553 (1.8071)	Prec@1 50.000 (52.611)	Prec@5 80.469 (81.913)
Epoch: [79][9500/14090]	Time 0.727 (0.749)	Data 0.001 (0.001)	Loss 1.9676 (1.8070)	Prec@1 52.344 (52.613)	Prec@5 76.562 (81.911)
Epoch: [79][9510/14090]	Time 0.739 (0.749)	Data 0.001 (0.001)	Loss 1.7219 (1.8071)	Prec@1 53.125 (52.612)	Prec@5 82.812 (81.911)
Epoch: [79][9520/14090]	Time 0.762 (0.749)	Data 0.000 (0.001)	Loss 1.8291 (1.8071)	Prec@1 44.531 (52.611)	Prec@5 80.469 (81.911)
Epoch: [79][9530/14090]	Time 0.753 (0.749)	Data 0.001 (0.001)	Loss 1.6930 (1.8071)	Prec@1 56.250 (52.611)	Prec@5 78.906 (81.910)
Epoch: [79][9540/14090]	Time 0.745 (0.749)	Data 0.001 (0.001)	Loss 1.7553 (1.8071)	Prec@1 57.812 (52.611)	Prec@5 83.594 (81.909)
Epoch: [79][9550/14090]	Time 0.759 (0.749)	Data 0.001 (0.001)	Loss 2.2271 (1.8071)	Prec@1 42.188 (52.613)	Prec@5 70.312 (81.909)
Epoch: [79][9560/14090]	Time 0.740 (0.749)	Data 0.001 (0.001)	Loss 1.8159 (1.8072)	Prec@1 56.250 (52.611)	Prec@5 81.250 (81.908)
Epoch: [79][9570/14090]	Time 0.728 (0.749)	Data 0.001 (0.001)	Loss 2.2698 (1.8072)	Prec@1 49.219 (52.613)	Prec@5 74.219 (81.907)
Epoch: [79][9580/14090]	Time 0.750 (0.749)	Data 0.001 (0.001)	Loss 1.8763 (1.8072)	Prec@1 47.656 (52.613)	Prec@5 80.469 (81.906)
Epoch: [79][9590/14090]	Time 0.737 (0.749)	Data 0.002 (0.001)	Loss 1.7426 (1.8072)	Prec@1 56.250 (52.611)	Prec@5 84.375 (81.907)
Epoch: [79][9600/14090]	Time 0.736 (0.749)	Data 0.001 (0.001)	Loss 1.8308 (1.8072)	Prec@1 47.656 (52.610)	Prec@5 82.812 (81.906)
Epoch: [79][9610/14090]	Time 0.750 (0.749)	Data 0.001 (0.001)	Loss 1.6651 (1.8071)	Prec@1 57.031 (52.613)	Prec@5 79.688 (81.907)
Epoch: [79][9620/14090]	Time 0.742 (0.749)	Data 0.001 (0.001)	Loss 1.8328 (1.8072)	Prec@1 53.125 (52.614)	Prec@5 79.688 (81.907)
Epoch: [79][9630/14090]	Time 0.758 (0.749)	Data 0.001 (0.001)	Loss 2.0794 (1.8072)	Prec@1 47.656 (52.613)	Prec@5 73.438 (81.908)
Epoch: [79][9640/14090]	Time 0.737 (0.749)	Data 0.001 (0.001)	Loss 1.6656 (1.8071)	Prec@1 56.250 (52.614)	Prec@5 85.938 (81.909)
Epoch: [79][9650/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 1.7811 (1.8072)	Prec@1 49.219 (52.613)	Prec@5 85.938 (81.910)
Epoch: [79][9660/14090]	Time 0.745 (0.749)	Data 0.002 (0.001)	Loss 1.7570 (1.8073)	Prec@1 51.562 (52.611)	Prec@5 85.156 (81.908)
Epoch: [79][9670/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 1.7381 (1.8072)	Prec@1 54.688 (52.611)	Prec@5 82.031 (81.909)
Epoch: [79][9680/14090]	Time 0.725 (0.749)	Data 0.001 (0.001)	Loss 1.9205 (1.8072)	Prec@1 46.875 (52.612)	Prec@5 80.469 (81.909)
Epoch: [79][9690/14090]	Time 0.745 (0.749)	Data 0.001 (0.001)	Loss 1.9089 (1.8073)	Prec@1 47.656 (52.613)	Prec@5 80.469 (81.908)
Epoch: [79][9700/14090]	Time 0.783 (0.749)	Data 0.001 (0.001)	Loss 1.7365 (1.8073)	Prec@1 57.812 (52.614)	Prec@5 82.031 (81.907)
Epoch: [79][9710/14090]	Time 0.727 (0.749)	Data 0.001 (0.001)	Loss 1.9989 (1.8074)	Prec@1 45.312 (52.612)	Prec@5 84.375 (81.907)
Epoch: [79][9720/14090]	Time 0.728 (0.749)	Data 0.001 (0.001)	Loss 1.7556 (1.8073)	Prec@1 56.250 (52.612)	Prec@5 85.156 (81.909)
Epoch: [79][9730/14090]	Time 0.765 (0.749)	Data 0.002 (0.001)	Loss 1.7742 (1.8073)	Prec@1 52.344 (52.612)	Prec@5 82.031 (81.911)
Epoch: [79][9740/14090]	Time 0.777 (0.749)	Data 0.001 (0.001)	Loss 1.8230 (1.8073)	Prec@1 50.781 (52.610)	Prec@5 85.938 (81.912)
Epoch: [79][9750/14090]	Time 0.779 (0.749)	Data 0.001 (0.001)	Loss 1.9045 (1.8073)	Prec@1 48.438 (52.610)	Prec@5 82.812 (81.911)
Epoch: [79][9760/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 2.0534 (1.8073)	Prec@1 50.781 (52.611)	Prec@5 75.000 (81.908)
Epoch: [79][9770/14090]	Time 0.725 (0.749)	Data 0.001 (0.001)	Loss 1.9876 (1.8073)	Prec@1 49.219 (52.611)	Prec@5 78.906 (81.907)
Epoch: [79][9780/14090]	Time 0.754 (0.749)	Data 0.001 (0.001)	Loss 1.7232 (1.8073)	Prec@1 58.594 (52.612)	Prec@5 81.250 (81.908)
Epoch: [79][9790/14090]	Time 0.727 (0.749)	Data 0.001 (0.001)	Loss 1.7994 (1.8073)	Prec@1 54.688 (52.610)	Prec@5 86.719 (81.910)
Epoch: [79][9800/14090]	Time 0.779 (0.749)	Data 0.002 (0.001)	Loss 1.6775 (1.8073)	Prec@1 51.562 (52.610)	Prec@5 86.719 (81.910)
Epoch: [79][9810/14090]	Time 0.735 (0.749)	Data 0.001 (0.001)	Loss 1.8254 (1.8073)	Prec@1 52.344 (52.610)	Prec@5 78.125 (81.909)
Epoch: [79][9820/14090]	Time 0.778 (0.749)	Data 0.001 (0.001)	Loss 1.8969 (1.8074)	Prec@1 53.906 (52.610)	Prec@5 78.906 (81.909)
Epoch: [79][9830/14090]	Time 0.770 (0.749)	Data 0.001 (0.001)	Loss 1.9040 (1.8073)	Prec@1 46.094 (52.611)	Prec@5 82.031 (81.910)
Epoch: [79][9840/14090]	Time 0.753 (0.749)	Data 0.001 (0.001)	Loss 1.7157 (1.8073)	Prec@1 53.906 (52.610)	Prec@5 86.719 (81.912)
Epoch: [79][9850/14090]	Time 0.780 (0.749)	Data 0.001 (0.001)	Loss 1.6550 (1.8074)	Prec@1 53.906 (52.609)	Prec@5 87.500 (81.912)
Epoch: [79][9860/14090]	Time 0.746 (0.749)	Data 0.001 (0.001)	Loss 1.9812 (1.8073)	Prec@1 50.781 (52.609)	Prec@5 80.469 (81.913)
Epoch: [79][9870/14090]	Time 0.750 (0.749)	Data 0.002 (0.001)	Loss 1.7147 (1.8073)	Prec@1 54.688 (52.610)	Prec@5 83.594 (81.913)
Epoch: [79][9880/14090]	Time 0.784 (0.749)	Data 0.001 (0.001)	Loss 1.6589 (1.8073)	Prec@1 49.219 (52.609)	Prec@5 84.375 (81.913)
Epoch: [79][9890/14090]	Time 0.768 (0.749)	Data 0.001 (0.001)	Loss 1.6319 (1.8072)	Prec@1 54.688 (52.611)	Prec@5 85.156 (81.915)
Epoch: [79][9900/14090]	Time 0.755 (0.749)	Data 0.001 (0.001)	Loss 1.7834 (1.8072)	Prec@1 51.562 (52.611)	Prec@5 81.250 (81.914)
Epoch: [79][9910/14090]	Time 0.732 (0.749)	Data 0.001 (0.001)	Loss 1.9274 (1.8073)	Prec@1 50.000 (52.608)	Prec@5 77.344 (81.912)
Epoch: [79][9920/14090]	Time 0.762 (0.749)	Data 0.001 (0.001)	Loss 1.8032 (1.8074)	Prec@1 54.688 (52.607)	Prec@5 81.250 (81.911)
Epoch: [79][9930/14090]	Time 0.736 (0.749)	Data 0.001 (0.001)	Loss 1.6309 (1.8074)	Prec@1 54.688 (52.607)	Prec@5 87.500 (81.912)
Epoch: [79][9940/14090]	Time 0.748 (0.749)	Data 0.002 (0.001)	Loss 2.1732 (1.8074)	Prec@1 44.531 (52.606)	Prec@5 77.344 (81.911)
Epoch: [79][9950/14090]	Time 0.732 (0.749)	Data 0.001 (0.001)	Loss 2.0246 (1.8074)	Prec@1 46.875 (52.607)	Prec@5 78.125 (81.910)
Epoch: [79][9960/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 1.5285 (1.8074)	Prec@1 57.812 (52.608)	Prec@5 90.625 (81.909)
Epoch: [79][9970/14090]	Time 0.732 (0.749)	Data 0.001 (0.001)	Loss 1.9509 (1.8074)	Prec@1 52.344 (52.608)	Prec@5 77.344 (81.908)
Epoch: [79][9980/14090]	Time 0.775 (0.749)	Data 0.001 (0.001)	Loss 1.6043 (1.8074)	Prec@1 58.594 (52.608)	Prec@5 86.719 (81.908)
Epoch: [79][9990/14090]	Time 0.740 (0.749)	Data 0.001 (0.001)	Loss 1.6577 (1.8075)	Prec@1 54.688 (52.609)	Prec@5 85.938 (81.907)
Epoch: [79][10000/14090]	Time 0.744 (0.749)	Data 0.001 (0.001)	Loss 1.6935 (1.8074)	Prec@1 49.219 (52.609)	Prec@5 89.062 (81.910)
Epoch: [79][10010/14090]	Time 0.761 (0.749)	Data 0.002 (0.001)	Loss 1.6569 (1.8074)	Prec@1 55.469 (52.609)	Prec@5 82.812 (81.910)
Epoch: [79][10020/14090]	Time 0.724 (0.749)	Data 0.001 (0.001)	Loss 1.7418 (1.8075)	Prec@1 52.344 (52.608)	Prec@5 82.812 (81.908)
Epoch: [79][10030/14090]	Time 0.755 (0.749)	Data 0.001 (0.001)	Loss 1.8079 (1.8074)	Prec@1 53.125 (52.609)	Prec@5 80.469 (81.909)
Epoch: [79][10040/14090]	Time 0.766 (0.749)	Data 0.001 (0.001)	Loss 2.0116 (1.8074)	Prec@1 43.750 (52.609)	Prec@5 78.906 (81.907)
Epoch: [79][10050/14090]	Time 0.728 (0.749)	Data 0.001 (0.001)	Loss 2.0486 (1.8075)	Prec@1 51.562 (52.610)	Prec@5 78.125 (81.905)
Epoch: [79][10060/14090]	Time 0.746 (0.749)	Data 0.001 (0.001)	Loss 1.7224 (1.8075)	Prec@1 56.250 (52.611)	Prec@5 83.594 (81.906)
Epoch: [79][10070/14090]	Time 0.736 (0.749)	Data 0.001 (0.001)	Loss 1.9546 (1.8075)	Prec@1 46.875 (52.611)	Prec@5 83.594 (81.905)
Epoch: [79][10080/14090]	Time 0.744 (0.749)	Data 0.002 (0.001)	Loss 2.0170 (1.8075)	Prec@1 45.312 (52.607)	Prec@5 79.688 (81.905)
Epoch: [79][10090/14090]	Time 0.760 (0.749)	Data 0.001 (0.001)	Loss 1.7397 (1.8077)	Prec@1 51.562 (52.604)	Prec@5 85.938 (81.904)
Epoch: [79][10100/14090]	Time 0.727 (0.749)	Data 0.001 (0.001)	Loss 1.6338 (1.8076)	Prec@1 50.000 (52.604)	Prec@5 86.719 (81.906)
Epoch: [79][10110/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 1.5652 (1.8075)	Prec@1 54.688 (52.605)	Prec@5 89.844 (81.908)
Epoch: [79][10120/14090]	Time 0.741 (0.749)	Data 0.001 (0.001)	Loss 1.7489 (1.8076)	Prec@1 53.125 (52.606)	Prec@5 86.719 (81.908)
Epoch: [79][10130/14090]	Time 0.736 (0.749)	Data 0.001 (0.001)	Loss 1.7240 (1.8075)	Prec@1 57.031 (52.607)	Prec@5 80.469 (81.909)
Epoch: [79][10140/14090]	Time 0.737 (0.749)	Data 0.001 (0.001)	Loss 1.8458 (1.8076)	Prec@1 49.219 (52.605)	Prec@5 82.812 (81.908)
Epoch: [79][10150/14090]	Time 0.776 (0.749)	Data 0.002 (0.001)	Loss 1.8860 (1.8076)	Prec@1 47.656 (52.604)	Prec@5 82.812 (81.908)
Epoch: [79][10160/14090]	Time 0.756 (0.749)	Data 0.001 (0.001)	Loss 1.8347 (1.8076)	Prec@1 50.781 (52.603)	Prec@5 80.469 (81.908)
Epoch: [79][10170/14090]	Time 0.754 (0.749)	Data 0.001 (0.001)	Loss 1.6095 (1.8077)	Prec@1 55.469 (52.601)	Prec@5 84.375 (81.906)
Epoch: [79][10180/14090]	Time 0.744 (0.749)	Data 0.001 (0.001)	Loss 1.5812 (1.8077)	Prec@1 59.375 (52.603)	Prec@5 84.375 (81.907)
Epoch: [79][10190/14090]	Time 0.765 (0.749)	Data 0.001 (0.001)	Loss 1.8321 (1.8078)	Prec@1 53.125 (52.601)	Prec@5 82.812 (81.905)
Epoch: [79][10200/14090]	Time 0.758 (0.749)	Data 0.001 (0.001)	Loss 1.6873 (1.8078)	Prec@1 53.125 (52.601)	Prec@5 78.125 (81.904)
Epoch: [79][10210/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 1.6397 (1.8077)	Prec@1 57.812 (52.600)	Prec@5 84.375 (81.905)
Epoch: [79][10220/14090]	Time 0.730 (0.749)	Data 0.002 (0.001)	Loss 1.9657 (1.8077)	Prec@1 53.125 (52.600)	Prec@5 80.469 (81.904)
Epoch: [79][10230/14090]	Time 0.730 (0.749)	Data 0.001 (0.001)	Loss 1.6556 (1.8078)	Prec@1 60.156 (52.601)	Prec@5 85.938 (81.903)
Epoch: [79][10240/14090]	Time 0.725 (0.749)	Data 0.001 (0.001)	Loss 1.6875 (1.8078)	Prec@1 53.906 (52.600)	Prec@5 84.375 (81.903)
Epoch: [79][10250/14090]	Time 0.742 (0.749)	Data 0.001 (0.001)	Loss 1.7517 (1.8078)	Prec@1 54.688 (52.598)	Prec@5 84.375 (81.904)
Epoch: [79][10260/14090]	Time 0.772 (0.749)	Data 0.001 (0.001)	Loss 2.0880 (1.8079)	Prec@1 43.750 (52.597)	Prec@5 76.562 (81.901)
Epoch: [79][10270/14090]	Time 0.760 (0.749)	Data 0.001 (0.001)	Loss 1.8863 (1.8079)	Prec@1 50.000 (52.597)	Prec@5 78.125 (81.901)
Epoch: [79][10280/14090]	Time 0.754 (0.749)	Data 0.001 (0.001)	Loss 1.9328 (1.8080)	Prec@1 51.562 (52.594)	Prec@5 77.344 (81.900)
Epoch: [79][10290/14090]	Time 0.745 (0.749)	Data 0.002 (0.001)	Loss 1.8293 (1.8080)	Prec@1 56.250 (52.594)	Prec@5 82.031 (81.900)
Epoch: [79][10300/14090]	Time 0.737 (0.749)	Data 0.001 (0.001)	Loss 1.6702 (1.8080)	Prec@1 53.906 (52.593)	Prec@5 83.594 (81.899)
Epoch: [79][10310/14090]	Time 0.770 (0.749)	Data 0.001 (0.001)	Loss 1.6069 (1.8080)	Prec@1 56.250 (52.592)	Prec@5 87.500 (81.900)
Epoch: [79][10320/14090]	Time 0.744 (0.749)	Data 0.001 (0.001)	Loss 1.6858 (1.8080)	Prec@1 53.906 (52.592)	Prec@5 85.938 (81.901)
Epoch: [79][10330/14090]	Time 0.775 (0.749)	Data 0.001 (0.001)	Loss 1.9733 (1.8080)	Prec@1 50.000 (52.592)	Prec@5 75.781 (81.901)
Epoch: [79][10340/14090]	Time 0.748 (0.749)	Data 0.001 (0.001)	Loss 1.9764 (1.8080)	Prec@1 48.438 (52.591)	Prec@5 78.125 (81.902)
Epoch: [79][10350/14090]	Time 0.772 (0.749)	Data 0.001 (0.001)	Loss 1.7090 (1.8080)	Prec@1 56.250 (52.588)	Prec@5 86.719 (81.900)
Epoch: [79][10360/14090]	Time 0.755 (0.749)	Data 0.002 (0.001)	Loss 1.7794 (1.8081)	Prec@1 48.438 (52.585)	Prec@5 80.469 (81.898)
Epoch: [79][10370/14090]	Time 0.753 (0.749)	Data 0.001 (0.001)	Loss 1.7865 (1.8081)	Prec@1 54.688 (52.585)	Prec@5 80.469 (81.896)
Epoch: [79][10380/14090]	Time 0.741 (0.749)	Data 0.001 (0.001)	Loss 1.6070 (1.8082)	Prec@1 58.594 (52.583)	Prec@5 84.375 (81.896)
Epoch: [79][10390/14090]	Time 0.753 (0.749)	Data 0.001 (0.001)	Loss 2.0394 (1.8082)	Prec@1 45.312 (52.584)	Prec@5 80.469 (81.895)
Epoch: [79][10400/14090]	Time 0.755 (0.749)	Data 0.001 (0.001)	Loss 1.7664 (1.8082)	Prec@1 56.250 (52.585)	Prec@5 82.812 (81.896)
Epoch: [79][10410/14090]	Time 0.778 (0.749)	Data 0.001 (0.001)	Loss 1.7997 (1.8082)	Prec@1 51.562 (52.584)	Prec@5 79.688 (81.896)
Epoch: [79][10420/14090]	Time 0.728 (0.749)	Data 0.001 (0.001)	Loss 1.7401 (1.8081)	Prec@1 54.688 (52.586)	Prec@5 80.469 (81.897)
Epoch: [79][10430/14090]	Time 0.748 (0.749)	Data 0.002 (0.001)	Loss 1.7081 (1.8082)	Prec@1 52.344 (52.586)	Prec@5 84.375 (81.897)
Epoch: [79][10440/14090]	Time 0.749 (0.749)	Data 0.001 (0.001)	Loss 1.5342 (1.8081)	Prec@1 57.031 (52.587)	Prec@5 84.375 (81.898)
Epoch: [79][10450/14090]	Time 0.726 (0.749)	Data 0.001 (0.001)	Loss 1.8221 (1.8081)	Prec@1 52.344 (52.588)	Prec@5 82.812 (81.899)
Epoch: [79][10460/14090]	Time 0.783 (0.749)	Data 0.001 (0.001)	Loss 1.9681 (1.8081)	Prec@1 44.531 (52.589)	Prec@5 81.250 (81.900)
Epoch: [79][10470/14090]	Time 0.753 (0.749)	Data 0.001 (0.001)	Loss 1.7169 (1.8081)	Prec@1 48.438 (52.586)	Prec@5 85.938 (81.899)
Epoch: [79][10480/14090]	Time 0.744 (0.749)	Data 0.001 (0.001)	Loss 1.8560 (1.8082)	Prec@1 51.562 (52.585)	Prec@5 81.250 (81.898)
Epoch: [79][10490/14090]	Time 0.770 (0.749)	Data 0.001 (0.001)	Loss 1.5014 (1.8082)	Prec@1 58.594 (52.584)	Prec@5 84.375 (81.898)
Epoch: [79][10500/14090]	Time 0.752 (0.749)	Data 0.002 (0.001)	Loss 1.7808 (1.8083)	Prec@1 49.219 (52.582)	Prec@5 79.688 (81.897)
Epoch: [79][10510/14090]	Time 0.753 (0.749)	Data 0.001 (0.001)	Loss 1.8612 (1.8083)	Prec@1 53.906 (52.582)	Prec@5 82.031 (81.898)
Epoch: [79][10520/14090]	Time 0.726 (0.749)	Data 0.001 (0.001)	Loss 2.0717 (1.8083)	Prec@1 48.438 (52.582)	Prec@5 78.906 (81.899)
Epoch: [79][10530/14090]	Time 0.753 (0.749)	Data 0.001 (0.001)	Loss 1.7599 (1.8082)	Prec@1 50.781 (52.583)	Prec@5 82.031 (81.900)
Epoch: [79][10540/14090]	Time 0.772 (0.749)	Data 0.001 (0.001)	Loss 1.9488 (1.8082)	Prec@1 46.094 (52.583)	Prec@5 80.469 (81.901)
Epoch: [79][10550/14090]	Time 0.758 (0.749)	Data 0.001 (0.001)	Loss 1.7432 (1.8083)	Prec@1 54.688 (52.581)	Prec@5 82.031 (81.898)
Epoch: [79][10560/14090]	Time 0.754 (0.749)	Data 0.001 (0.001)	Loss 1.6219 (1.8083)	Prec@1 55.469 (52.580)	Prec@5 86.719 (81.898)
Epoch: [79][10570/14090]	Time 0.759 (0.749)	Data 0.002 (0.001)	Loss 1.9283 (1.8083)	Prec@1 49.219 (52.580)	Prec@5 78.125 (81.899)
Epoch: [79][10580/14090]	Time 0.740 (0.749)	Data 0.001 (0.001)	Loss 1.9211 (1.8083)	Prec@1 46.875 (52.579)	Prec@5 82.812 (81.899)
Epoch: [79][10590/14090]	Time 0.735 (0.749)	Data 0.001 (0.001)	Loss 2.0024 (1.8084)	Prec@1 47.656 (52.577)	Prec@5 78.906 (81.899)
Epoch: [79][10600/14090]	Time 0.735 (0.749)	Data 0.001 (0.001)	Loss 1.8060 (1.8084)	Prec@1 54.688 (52.578)	Prec@5 79.688 (81.897)
Epoch: [79][10610/14090]	Time 0.726 (0.749)	Data 0.001 (0.001)	Loss 1.8053 (1.8084)	Prec@1 52.344 (52.578)	Prec@5 82.031 (81.896)
Epoch: [79][10620/14090]	Time 0.744 (0.749)	Data 0.001 (0.001)	Loss 1.6062 (1.8084)	Prec@1 62.500 (52.578)	Prec@5 88.281 (81.896)
Epoch: [79][10630/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 1.7833 (1.8084)	Prec@1 53.906 (52.579)	Prec@5 83.594 (81.897)
Epoch: [79][10640/14090]	Time 0.749 (0.749)	Data 0.002 (0.001)	Loss 1.8766 (1.8084)	Prec@1 50.781 (52.578)	Prec@5 78.906 (81.896)
Epoch: [79][10650/14090]	Time 0.763 (0.749)	Data 0.001 (0.001)	Loss 1.6731 (1.8085)	Prec@1 54.688 (52.579)	Prec@5 82.812 (81.895)
Epoch: [79][10660/14090]	Time 0.734 (0.749)	Data 0.001 (0.001)	Loss 1.8025 (1.8085)	Prec@1 49.219 (52.578)	Prec@5 85.938 (81.896)
Epoch: [79][10670/14090]	Time 0.756 (0.749)	Data 0.001 (0.001)	Loss 1.8247 (1.8085)	Prec@1 46.875 (52.577)	Prec@5 82.812 (81.897)
Epoch: [79][10680/14090]	Time 0.722 (0.749)	Data 0.001 (0.001)	Loss 1.7788 (1.8085)	Prec@1 53.906 (52.575)	Prec@5 84.375 (81.896)
Epoch: [79][10690/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 2.0395 (1.8086)	Prec@1 49.219 (52.574)	Prec@5 76.562 (81.893)
Epoch: [79][10700/14090]	Time 0.739 (0.749)	Data 0.001 (0.001)	Loss 1.9034 (1.8087)	Prec@1 50.000 (52.571)	Prec@5 77.344 (81.893)
Epoch: [79][10710/14090]	Time 0.760 (0.749)	Data 0.002 (0.001)	Loss 1.8160 (1.8086)	Prec@1 50.000 (52.572)	Prec@5 82.812 (81.895)
Epoch: [79][10720/14090]	Time 0.745 (0.749)	Data 0.001 (0.001)	Loss 1.7955 (1.8086)	Prec@1 46.875 (52.571)	Prec@5 86.719 (81.895)
Epoch: [79][10730/14090]	Time 0.739 (0.749)	Data 0.001 (0.001)	Loss 1.7286 (1.8085)	Prec@1 53.906 (52.573)	Prec@5 85.938 (81.896)
Epoch: [79][10740/14090]	Time 0.733 (0.749)	Data 0.001 (0.001)	Loss 2.1024 (1.8086)	Prec@1 45.312 (52.572)	Prec@5 73.438 (81.895)
Epoch: [79][10750/14090]	Time 0.763 (0.749)	Data 0.001 (0.001)	Loss 1.7243 (1.8085)	Prec@1 50.781 (52.573)	Prec@5 85.156 (81.894)
Epoch: [79][10760/14090]	Time 0.734 (0.749)	Data 0.001 (0.001)	Loss 1.6696 (1.8085)	Prec@1 53.125 (52.574)	Prec@5 84.375 (81.895)
Epoch: [79][10770/14090]	Time 0.745 (0.749)	Data 0.001 (0.001)	Loss 1.6929 (1.8085)	Prec@1 50.000 (52.573)	Prec@5 88.281 (81.895)
Epoch: [79][10780/14090]	Time 0.736 (0.749)	Data 0.002 (0.001)	Loss 2.2001 (1.8086)	Prec@1 43.750 (52.572)	Prec@5 75.781 (81.893)
Epoch: [79][10790/14090]	Time 0.757 (0.749)	Data 0.001 (0.001)	Loss 1.7652 (1.8086)	Prec@1 53.906 (52.572)	Prec@5 83.594 (81.892)
Epoch: [79][10800/14090]	Time 0.758 (0.749)	Data 0.001 (0.001)	Loss 1.6421 (1.8086)	Prec@1 57.812 (52.571)	Prec@5 83.594 (81.893)
Epoch: [79][10810/14090]	Time 0.740 (0.749)	Data 0.001 (0.001)	Loss 1.7161 (1.8087)	Prec@1 54.688 (52.569)	Prec@5 85.156 (81.892)
Epoch: [79][10820/14090]	Time 0.731 (0.749)	Data 0.001 (0.001)	Loss 1.7341 (1.8087)	Prec@1 56.250 (52.569)	Prec@5 83.594 (81.892)
Epoch: [79][10830/14090]	Time 0.755 (0.749)	Data 0.001 (0.001)	Loss 2.0564 (1.8088)	Prec@1 43.750 (52.568)	Prec@5 78.906 (81.891)
Epoch: [79][10840/14090]	Time 0.744 (0.749)	Data 0.001 (0.001)	Loss 1.8082 (1.8088)	Prec@1 51.562 (52.568)	Prec@5 79.688 (81.890)
Epoch: [79][10850/14090]	Time 0.742 (0.749)	Data 0.002 (0.001)	Loss 1.8667 (1.8089)	Prec@1 49.219 (52.565)	Prec@5 80.469 (81.889)
Epoch: [79][10860/14090]	Time 0.742 (0.749)	Data 0.001 (0.001)	Loss 1.7871 (1.8088)	Prec@1 52.344 (52.566)	Prec@5 85.156 (81.889)
Epoch: [79][10870/14090]	Time 0.753 (0.749)	Data 0.001 (0.001)	Loss 2.0478 (1.8090)	Prec@1 36.719 (52.562)	Prec@5 79.688 (81.889)
Epoch: [79][10880/14090]	Time 0.744 (0.749)	Data 0.001 (0.001)	Loss 1.7835 (1.8089)	Prec@1 49.219 (52.563)	Prec@5 82.812 (81.890)
Epoch: [79][10890/14090]	Time 0.734 (0.749)	Data 0.001 (0.001)	Loss 1.9855 (1.8089)	Prec@1 47.656 (52.561)	Prec@5 73.438 (81.891)
Epoch: [79][10900/14090]	Time 0.745 (0.749)	Data 0.001 (0.001)	Loss 1.7321 (1.8089)	Prec@1 51.562 (52.559)	Prec@5 85.156 (81.891)
Epoch: [79][10910/14090]	Time 0.724 (0.749)	Data 0.001 (0.001)	Loss 2.0170 (1.8090)	Prec@1 49.219 (52.557)	Prec@5 83.594 (81.890)
Epoch: [79][10920/14090]	Time 0.732 (0.749)	Data 0.002 (0.001)	Loss 1.8068 (1.8090)	Prec@1 52.344 (52.558)	Prec@5 86.719 (81.891)
Epoch: [79][10930/14090]	Time 0.732 (0.749)	Data 0.001 (0.001)	Loss 1.9857 (1.8089)	Prec@1 50.000 (52.558)	Prec@5 73.438 (81.891)
Epoch: [79][10940/14090]	Time 0.747 (0.749)	Data 0.001 (0.001)	Loss 1.6873 (1.8089)	Prec@1 51.562 (52.557)	Prec@5 85.156 (81.891)
Epoch: [79][10950/14090]	Time 0.753 (0.749)	Data 0.001 (0.001)	Loss 1.5774 (1.8089)	Prec@1 55.469 (52.560)	Prec@5 85.938 (81.892)
Epoch: [79][10960/14090]	Time 0.730 (0.749)	Data 0.001 (0.001)	Loss 1.6906 (1.8088)	Prec@1 55.469 (52.560)	Prec@5 87.500 (81.894)
Epoch: [79][10970/14090]	Time 0.753 (0.749)	Data 0.001 (0.001)	Loss 2.0640 (1.8089)	Prec@1 46.875 (52.561)	Prec@5 77.344 (81.894)
Epoch: [79][10980/14090]	Time 0.745 (0.749)	Data 0.001 (0.001)	Loss 1.9855 (1.8089)	Prec@1 46.094 (52.560)	Prec@5 79.688 (81.895)
Epoch: [79][10990/14090]	Time 0.725 (0.749)	Data 0.002 (0.001)	Loss 1.6401 (1.8088)	Prec@1 57.812 (52.563)	Prec@5 87.500 (81.895)
Epoch: [79][11000/14090]	Time 0.776 (0.749)	Data 0.001 (0.001)	Loss 1.8660 (1.8088)	Prec@1 58.594 (52.564)	Prec@5 80.469 (81.894)
Epoch: [79][11010/14090]	Time 0.756 (0.749)	Data 0.001 (0.001)	Loss 1.9389 (1.8089)	Prec@1 53.906 (52.564)	Prec@5 77.344 (81.893)
Epoch: [79][11020/14090]	Time 0.756 (0.749)	Data 0.001 (0.001)	Loss 1.6198 (1.8089)	Prec@1 58.594 (52.564)	Prec@5 85.156 (81.893)
Epoch: [79][11030/14090]	Time 0.735 (0.749)	Data 0.001 (0.001)	Loss 1.9419 (1.8089)	Prec@1 56.250 (52.565)	Prec@5 78.125 (81.893)
Epoch: [79][11040/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 2.3077 (1.8090)	Prec@1 46.094 (52.562)	Prec@5 71.094 (81.891)
Epoch: [79][11050/14090]	Time 0.727 (0.749)	Data 0.001 (0.001)	Loss 1.5776 (1.8090)	Prec@1 55.469 (52.562)	Prec@5 85.156 (81.892)
Epoch: [79][11060/14090]	Time 0.750 (0.749)	Data 0.002 (0.001)	Loss 1.5556 (1.8090)	Prec@1 59.375 (52.561)	Prec@5 85.156 (81.892)
Epoch: [79][11070/14090]	Time 0.756 (0.749)	Data 0.001 (0.001)	Loss 1.7343 (1.8090)	Prec@1 52.344 (52.561)	Prec@5 83.594 (81.890)
Epoch: [79][11080/14090]	Time 0.739 (0.749)	Data 0.001 (0.001)	Loss 2.0006 (1.8091)	Prec@1 53.125 (52.558)	Prec@5 76.562 (81.888)
Epoch: [79][11090/14090]	Time 0.749 (0.749)	Data 0.001 (0.001)	Loss 2.0591 (1.8091)	Prec@1 46.875 (52.559)	Prec@5 75.781 (81.889)
Epoch: [79][11100/14090]	Time 0.752 (0.749)	Data 0.001 (0.001)	Loss 2.2404 (1.8092)	Prec@1 44.531 (52.557)	Prec@5 75.781 (81.888)
Epoch: [79][11110/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 1.8488 (1.8092)	Prec@1 57.031 (52.559)	Prec@5 82.031 (81.888)
Epoch: [79][11120/14090]	Time 0.782 (0.749)	Data 0.001 (0.001)	Loss 1.7078 (1.8091)	Prec@1 52.344 (52.560)	Prec@5 82.031 (81.888)
Epoch: [79][11130/14090]	Time 0.752 (0.749)	Data 0.002 (0.001)	Loss 1.7912 (1.8092)	Prec@1 50.000 (52.558)	Prec@5 85.938 (81.887)
Epoch: [79][11140/14090]	Time 0.753 (0.749)	Data 0.001 (0.001)	Loss 1.9420 (1.8093)	Prec@1 45.312 (52.558)	Prec@5 81.250 (81.887)
Epoch: [79][11150/14090]	Time 0.763 (0.749)	Data 0.001 (0.001)	Loss 1.7280 (1.8093)	Prec@1 54.688 (52.558)	Prec@5 80.469 (81.885)
Epoch: [79][11160/14090]	Time 0.748 (0.749)	Data 0.001 (0.001)	Loss 1.8910 (1.8093)	Prec@1 48.438 (52.556)	Prec@5 80.469 (81.884)
Epoch: [79][11170/14090]	Time 0.762 (0.749)	Data 0.001 (0.001)	Loss 1.8221 (1.8093)	Prec@1 49.219 (52.555)	Prec@5 81.250 (81.884)
Epoch: [79][11180/14090]	Time 0.742 (0.749)	Data 0.001 (0.001)	Loss 1.8665 (1.8093)	Prec@1 52.344 (52.557)	Prec@5 79.688 (81.884)
Epoch: [79][11190/14090]	Time 0.752 (0.749)	Data 0.001 (0.001)	Loss 1.7965 (1.8093)	Prec@1 55.469 (52.557)	Prec@5 80.469 (81.883)
Epoch: [79][11200/14090]	Time 0.765 (0.749)	Data 0.002 (0.001)	Loss 1.9325 (1.8093)	Prec@1 50.781 (52.558)	Prec@5 78.906 (81.883)
Epoch: [79][11210/14090]	Time 0.761 (0.749)	Data 0.001 (0.001)	Loss 1.7083 (1.8093)	Prec@1 53.125 (52.558)	Prec@5 85.938 (81.884)
Epoch: [79][11220/14090]	Time 0.777 (0.749)	Data 0.001 (0.001)	Loss 1.8540 (1.8093)	Prec@1 51.562 (52.557)	Prec@5 80.469 (81.885)
Epoch: [79][11230/14090]	Time 0.731 (0.749)	Data 0.001 (0.001)	Loss 1.7833 (1.8094)	Prec@1 45.312 (52.556)	Prec@5 83.594 (81.885)
Epoch: [79][11240/14090]	Time 0.730 (0.749)	Data 0.001 (0.001)	Loss 1.7332 (1.8094)	Prec@1 46.094 (52.556)	Prec@5 83.594 (81.885)
Epoch: [79][11250/14090]	Time 0.762 (0.749)	Data 0.001 (0.001)	Loss 1.9186 (1.8093)	Prec@1 51.562 (52.559)	Prec@5 78.125 (81.884)
Epoch: [79][11260/14090]	Time 0.767 (0.749)	Data 0.001 (0.001)	Loss 1.8880 (1.8093)	Prec@1 50.000 (52.558)	Prec@5 82.812 (81.885)
Epoch: [79][11270/14090]	Time 0.738 (0.749)	Data 0.002 (0.001)	Loss 1.8049 (1.8094)	Prec@1 53.906 (52.558)	Prec@5 79.688 (81.884)
Epoch: [79][11280/14090]	Time 0.753 (0.749)	Data 0.001 (0.001)	Loss 1.7396 (1.8094)	Prec@1 60.938 (52.560)	Prec@5 78.906 (81.883)
Epoch: [79][11290/14090]	Time 0.756 (0.749)	Data 0.001 (0.001)	Loss 1.7376 (1.8093)	Prec@1 53.125 (52.561)	Prec@5 82.812 (81.883)
Epoch: [79][11300/14090]	Time 0.769 (0.749)	Data 0.001 (0.001)	Loss 1.8205 (1.8094)	Prec@1 53.125 (52.560)	Prec@5 81.250 (81.883)
Epoch: [79][11310/14090]	Time 0.750 (0.749)	Data 0.001 (0.001)	Loss 1.9007 (1.8094)	Prec@1 52.344 (52.560)	Prec@5 82.812 (81.884)
Epoch: [79][11320/14090]	Time 0.732 (0.749)	Data 0.001 (0.001)	Loss 1.9192 (1.8094)	Prec@1 53.125 (52.560)	Prec@5 82.812 (81.885)
Epoch: [79][11330/14090]	Time 0.752 (0.749)	Data 0.001 (0.001)	Loss 1.7864 (1.8093)	Prec@1 56.250 (52.561)	Prec@5 79.688 (81.885)
Epoch: [79][11340/14090]	Time 0.766 (0.749)	Data 0.002 (0.001)	Loss 1.7262 (1.8093)	Prec@1 53.906 (52.562)	Prec@5 83.594 (81.886)
Epoch: [79][11350/14090]	Time 0.739 (0.749)	Data 0.001 (0.001)	Loss 1.6616 (1.8093)	Prec@1 58.594 (52.563)	Prec@5 84.375 (81.886)
Epoch: [79][11360/14090]	Time 0.728 (0.749)	Data 0.001 (0.001)	Loss 1.9585 (1.8093)	Prec@1 50.781 (52.563)	Prec@5 83.594 (81.887)
Epoch: [79][11370/14090]	Time 0.739 (0.749)	Data 0.001 (0.001)	Loss 1.8918 (1.8093)	Prec@1 49.219 (52.563)	Prec@5 78.125 (81.887)
Epoch: [79][11380/14090]	Time 0.757 (0.749)	Data 0.001 (0.001)	Loss 1.7202 (1.8093)	Prec@1 56.250 (52.563)	Prec@5 82.812 (81.887)
Epoch: [79][11390/14090]	Time 0.757 (0.749)	Data 0.001 (0.001)	Loss 1.7464 (1.8093)	Prec@1 58.594 (52.564)	Prec@5 84.375 (81.887)
Epoch: [79][11400/14090]	Time 0.740 (0.749)	Data 0.001 (0.001)	Loss 2.1047 (1.8093)	Prec@1 45.312 (52.562)	Prec@5 76.562 (81.886)
Epoch: [79][11410/14090]	Time 0.780 (0.749)	Data 0.002 (0.001)	Loss 1.7217 (1.8093)	Prec@1 53.906 (52.562)	Prec@5 85.938 (81.886)
Epoch: [79][11420/14090]	Time 0.725 (0.749)	Data 0.001 (0.001)	Loss 1.9364 (1.8093)	Prec@1 49.219 (52.563)	Prec@5 80.469 (81.886)
Epoch: [79][11430/14090]	Time 0.734 (0.749)	Data 0.001 (0.001)	Loss 1.6603 (1.8093)	Prec@1 57.031 (52.563)	Prec@5 79.688 (81.886)
Epoch: [79][11440/14090]	Time 0.718 (0.749)	Data 0.001 (0.001)	Loss 2.0576 (1.8093)	Prec@1 50.000 (52.563)	Prec@5 78.125 (81.887)
Epoch: [79][11450/14090]	Time 0.764 (0.749)	Data 0.001 (0.001)	Loss 1.8213 (1.8093)	Prec@1 52.344 (52.560)	Prec@5 82.812 (81.887)
Epoch: [79][11460/14090]	Time 0.730 (0.749)	Data 0.001 (0.001)	Loss 1.8180 (1.8093)	Prec@1 50.000 (52.560)	Prec@5 78.125 (81.886)
Epoch: [79][11470/14090]	Time 0.757 (0.749)	Data 0.001 (0.001)	Loss 1.4984 (1.8092)	Prec@1 60.156 (52.560)	Prec@5 86.719 (81.887)
Epoch: [79][11480/14090]	Time 0.734 (0.749)	Data 0.002 (0.001)	Loss 1.6572 (1.8092)	Prec@1 54.688 (52.561)	Prec@5 85.938 (81.887)
Epoch: [79][11490/14090]	Time 0.743 (0.749)	Data 0.001 (0.001)	Loss 2.0261 (1.8092)	Prec@1 47.656 (52.560)	Prec@5 75.000 (81.887)
Epoch: [79][11500/14090]	Time 0.755 (0.749)	Data 0.001 (0.001)	Loss 1.9007 (1.8093)	Prec@1 50.781 (52.559)	Prec@5 82.812 (81.886)
Epoch: [79][11510/14090]	Time 0.732 (0.749)	Data 0.001 (0.001)	Loss 1.9914 (1.8093)	Prec@1 49.219 (52.559)	Prec@5 78.906 (81.886)
Epoch: [79][11520/14090]	Time 0.725 (0.749)	Data 0.001 (0.001)	Loss 1.7219 (1.8094)	Prec@1 54.688 (52.557)	Prec@5 84.375 (81.884)
Epoch: [79][11530/14090]	Time 0.740 (0.749)	Data 0.001 (0.001)	Loss 1.8082 (1.8094)	Prec@1 54.688 (52.558)	Prec@5 78.906 (81.884)
Epoch: [79][11540/14090]	Time 0.743 (0.749)	Data 0.001 (0.001)	Loss 1.9745 (1.8094)	Prec@1 50.781 (52.557)	Prec@5 78.125 (81.884)
Epoch: [79][11550/14090]	Time 0.776 (0.749)	Data 0.002 (0.001)	Loss 2.0342 (1.8094)	Prec@1 49.219 (52.555)	Prec@5 82.812 (81.884)
Epoch: [79][11560/14090]	Time 0.737 (0.749)	Data 0.001 (0.001)	Loss 1.9325 (1.8094)	Prec@1 47.656 (52.555)	Prec@5 78.906 (81.884)
Epoch: [79][11570/14090]	Time 0.771 (0.749)	Data 0.001 (0.001)	Loss 2.0108 (1.8095)	Prec@1 51.562 (52.554)	Prec@5 79.688 (81.883)
Epoch: [79][11580/14090]	Time 0.730 (0.749)	Data 0.001 (0.001)	Loss 2.2027 (1.8095)	Prec@1 44.531 (52.552)	Prec@5 72.656 (81.882)
Epoch: [79][11590/14090]	Time 0.765 (0.749)	Data 0.001 (0.001)	Loss 1.8780 (1.8095)	Prec@1 46.094 (52.554)	Prec@5 83.594 (81.882)
Epoch: [79][11600/14090]	Time 0.744 (0.749)	Data 0.001 (0.001)	Loss 2.1245 (1.8096)	Prec@1 49.219 (52.552)	Prec@5 77.344 (81.881)
Epoch: [79][11610/14090]	Time 0.742 (0.749)	Data 0.001 (0.001)	Loss 1.9755 (1.8097)	Prec@1 49.219 (52.550)	Prec@5 76.562 (81.880)
Epoch: [79][11620/14090]	Time 0.736 (0.749)	Data 0.002 (0.001)	Loss 1.7617 (1.8097)	Prec@1 51.562 (52.550)	Prec@5 85.938 (81.880)
Epoch: [79][11630/14090]	Time 0.777 (0.749)	Data 0.001 (0.001)	Loss 1.6971 (1.8097)	Prec@1 56.250 (52.551)	Prec@5 83.594 (81.880)
Epoch: [79][11640/14090]	Time 0.744 (0.749)	Data 0.001 (0.001)	Loss 1.7932 (1.8098)	Prec@1 48.438 (52.549)	Prec@5 81.250 (81.879)
Epoch: [79][11650/14090]	Time 0.769 (0.749)	Data 0.001 (0.001)	Loss 2.1810 (1.8098)	Prec@1 39.062 (52.547)	Prec@5 75.781 (81.879)
Epoch: [79][11660/14090]	Time 0.756 (0.749)	Data 0.001 (0.001)	Loss 1.7980 (1.8098)	Prec@1 55.469 (52.548)	Prec@5 84.375 (81.878)
Epoch: [79][11670/14090]	Time 0.764 (0.749)	Data 0.001 (0.001)	Loss 2.0307 (1.8098)	Prec@1 49.219 (52.547)	Prec@5 80.469 (81.879)
Epoch: [79][11680/14090]	Time 0.733 (0.749)	Data 0.001 (0.001)	Loss 1.6636 (1.8099)	Prec@1 60.156 (52.544)	Prec@5 85.938 (81.879)
Epoch: [79][11690/14090]	Time 0.754 (0.749)	Data 0.002 (0.001)	Loss 2.0204 (1.8100)	Prec@1 42.188 (52.543)	Prec@5 83.594 (81.877)
Epoch: [79][11700/14090]	Time 0.739 (0.749)	Data 0.001 (0.001)	Loss 1.7018 (1.8100)	Prec@1 52.344 (52.541)	Prec@5 85.156 (81.876)
Epoch: [79][11710/14090]	Time 0.762 (0.749)	Data 0.001 (0.001)	Loss 2.0428 (1.8101)	Prec@1 53.906 (52.541)	Prec@5 78.125 (81.875)
Epoch: [79][11720/14090]	Time 0.753 (0.749)	Data 0.001 (0.001)	Loss 1.7091 (1.8101)	Prec@1 52.344 (52.541)	Prec@5 85.156 (81.875)
Epoch: [79][11730/14090]	Time 0.755 (0.749)	Data 0.001 (0.001)	Loss 1.9219 (1.8101)	Prec@1 50.781 (52.542)	Prec@5 80.469 (81.875)
Epoch: [79][11740/14090]	Time 0.774 (0.749)	Data 0.001 (0.001)	Loss 1.6977 (1.8101)	Prec@1 54.688 (52.542)	Prec@5 84.375 (81.875)
Epoch: [79][11750/14090]	Time 0.749 (0.749)	Data 0.001 (0.001)	Loss 1.7982 (1.8101)	Prec@1 53.906 (52.540)	Prec@5 81.250 (81.875)
Epoch: [79][11760/14090]	Time 0.750 (0.749)	Data 0.002 (0.001)	Loss 1.6949 (1.8101)	Prec@1 53.906 (52.540)	Prec@5 85.156 (81.876)
Epoch: [79][11770/14090]	Time 0.740 (0.749)	Data 0.001 (0.001)	Loss 1.7249 (1.8101)	Prec@1 54.688 (52.540)	Prec@5 80.469 (81.876)
Epoch: [79][11780/14090]	Time 0.754 (0.749)	Data 0.001 (0.001)	Loss 1.6777 (1.8101)	Prec@1 52.344 (52.538)	Prec@5 85.156 (81.876)
Epoch: [79][11790/14090]	Time 0.729 (0.749)	Data 0.001 (0.001)	Loss 1.7830 (1.8102)	Prec@1 56.250 (52.538)	Prec@5 80.469 (81.876)
Epoch: [79][11800/14090]	Time 0.760 (0.749)	Data 0.001 (0.001)	Loss 1.8452 (1.8101)	Prec@1 48.438 (52.538)	Prec@5 83.594 (81.877)
Epoch: [79][11810/14090]	Time 0.736 (0.749)	Data 0.001 (0.001)	Loss 1.8073 (1.8101)	Prec@1 46.875 (52.537)	Prec@5 82.812 (81.877)
Epoch: [79][11820/14090]	Time 0.726 (0.749)	Data 0.001 (0.001)	Loss 1.8378 (1.8101)	Prec@1 53.125 (52.537)	Prec@5 82.031 (81.877)
Epoch: [79][11830/14090]	Time 0.787 (0.749)	Data 0.002 (0.001)	Loss 1.9812 (1.8101)	Prec@1 52.344 (52.537)	Prec@5 82.031 (81.878)
Epoch: [79][11840/14090]	Time 0.739 (0.749)	Data 0.001 (0.001)	Loss 1.8423 (1.8101)	Prec@1 50.000 (52.536)	Prec@5 85.156 (81.878)
Epoch: [79][11850/14090]	Time 0.778 (0.749)	Data 0.001 (0.001)	Loss 2.0368 (1.8102)	Prec@1 50.000 (52.535)	Prec@5 77.344 (81.876)
Epoch: [79][11860/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 1.7496 (1.8102)	Prec@1 50.781 (52.535)	Prec@5 82.812 (81.876)
Epoch: [79][11870/14090]	Time 0.760 (0.749)	Data 0.001 (0.001)	Loss 1.6279 (1.8102)	Prec@1 51.562 (52.535)	Prec@5 85.156 (81.878)
Epoch: [79][11880/14090]	Time 0.728 (0.749)	Data 0.001 (0.001)	Loss 1.7753 (1.8102)	Prec@1 53.906 (52.536)	Prec@5 84.375 (81.877)
Epoch: [79][11890/14090]	Time 0.737 (0.749)	Data 0.001 (0.001)	Loss 1.8883 (1.8102)	Prec@1 53.125 (52.535)	Prec@5 78.906 (81.876)
Epoch: [79][11900/14090]	Time 0.755 (0.749)	Data 0.002 (0.001)	Loss 1.9015 (1.8102)	Prec@1 53.125 (52.537)	Prec@5 76.562 (81.877)
Epoch: [79][11910/14090]	Time 0.741 (0.749)	Data 0.001 (0.001)	Loss 1.8169 (1.8102)	Prec@1 50.781 (52.535)	Prec@5 82.812 (81.877)
Epoch: [79][11920/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 1.7574 (1.8102)	Prec@1 50.781 (52.535)	Prec@5 85.938 (81.876)
Epoch: [79][11930/14090]	Time 0.745 (0.749)	Data 0.001 (0.001)	Loss 1.7293 (1.8102)	Prec@1 58.594 (52.534)	Prec@5 85.938 (81.876)
Epoch: [79][11940/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 1.5874 (1.8103)	Prec@1 53.906 (52.532)	Prec@5 85.156 (81.876)
Epoch: [79][11950/14090]	Time 0.777 (0.749)	Data 0.001 (0.001)	Loss 1.7864 (1.8103)	Prec@1 50.000 (52.531)	Prec@5 82.812 (81.875)
Epoch: [79][11960/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 1.8017 (1.8103)	Prec@1 51.562 (52.530)	Prec@5 81.250 (81.874)
Epoch: [79][11970/14090]	Time 0.736 (0.749)	Data 0.002 (0.001)	Loss 1.8031 (1.8104)	Prec@1 54.688 (52.530)	Prec@5 78.906 (81.872)
Epoch: [79][11980/14090]	Time 0.745 (0.749)	Data 0.001 (0.001)	Loss 1.7482 (1.8104)	Prec@1 56.250 (52.531)	Prec@5 84.375 (81.873)
Epoch: [79][11990/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 1.8589 (1.8103)	Prec@1 54.688 (52.531)	Prec@5 77.344 (81.873)
Epoch: [79][12000/14090]	Time 0.755 (0.749)	Data 0.001 (0.001)	Loss 2.1675 (1.8104)	Prec@1 44.531 (52.529)	Prec@5 75.781 (81.872)
Epoch: [79][12010/14090]	Time 0.737 (0.749)	Data 0.001 (0.001)	Loss 1.7717 (1.8104)	Prec@1 48.438 (52.527)	Prec@5 83.594 (81.871)
Epoch: [79][12020/14090]	Time 0.763 (0.749)	Data 0.001 (0.001)	Loss 1.5615 (1.8104)	Prec@1 60.938 (52.527)	Prec@5 83.594 (81.872)
Epoch: [79][12030/14090]	Time 0.744 (0.749)	Data 0.001 (0.001)	Loss 1.6914 (1.8104)	Prec@1 55.469 (52.526)	Prec@5 88.281 (81.871)
Epoch: [79][12040/14090]	Time 0.742 (0.749)	Data 0.002 (0.001)	Loss 1.8456 (1.8104)	Prec@1 51.562 (52.527)	Prec@5 79.688 (81.872)
Epoch: [79][12050/14090]	Time 0.734 (0.749)	Data 0.001 (0.001)	Loss 1.7835 (1.8104)	Prec@1 50.781 (52.526)	Prec@5 84.375 (81.872)
Epoch: [79][12060/14090]	Time 0.723 (0.749)	Data 0.001 (0.001)	Loss 1.7241 (1.8103)	Prec@1 49.219 (52.525)	Prec@5 85.938 (81.873)
Epoch: [79][12070/14090]	Time 0.774 (0.749)	Data 0.001 (0.001)	Loss 2.1066 (1.8103)	Prec@1 43.750 (52.524)	Prec@5 78.906 (81.874)
Epoch: [79][12080/14090]	Time 0.748 (0.749)	Data 0.001 (0.001)	Loss 1.7530 (1.8104)	Prec@1 50.781 (52.524)	Prec@5 84.375 (81.873)
Epoch: [79][12090/14090]	Time 0.724 (0.749)	Data 0.001 (0.001)	Loss 1.9000 (1.8104)	Prec@1 45.312 (52.523)	Prec@5 79.688 (81.874)
Epoch: [79][12100/14090]	Time 0.727 (0.749)	Data 0.001 (0.001)	Loss 1.8466 (1.8104)	Prec@1 50.000 (52.523)	Prec@5 82.031 (81.874)
Epoch: [79][12110/14090]	Time 0.731 (0.749)	Data 0.002 (0.001)	Loss 1.7768 (1.8105)	Prec@1 47.656 (52.522)	Prec@5 85.938 (81.874)
Epoch: [79][12120/14090]	Time 0.761 (0.749)	Data 0.001 (0.001)	Loss 1.7501 (1.8104)	Prec@1 56.250 (52.524)	Prec@5 81.250 (81.874)
Epoch: [79][12130/14090]	Time 0.733 (0.749)	Data 0.001 (0.001)	Loss 1.7373 (1.8104)	Prec@1 54.688 (52.522)	Prec@5 82.031 (81.874)
Epoch: [79][12140/14090]	Time 0.754 (0.749)	Data 0.001 (0.001)	Loss 1.6307 (1.8104)	Prec@1 58.594 (52.525)	Prec@5 83.594 (81.875)
Epoch: [79][12150/14090]	Time 0.726 (0.749)	Data 0.001 (0.001)	Loss 1.6315 (1.8103)	Prec@1 60.156 (52.526)	Prec@5 79.688 (81.876)
Epoch: [79][12160/14090]	Time 0.755 (0.749)	Data 0.001 (0.001)	Loss 1.4891 (1.8103)	Prec@1 57.031 (52.526)	Prec@5 88.281 (81.876)
Epoch: [79][12170/14090]	Time 0.754 (0.749)	Data 0.001 (0.001)	Loss 1.5753 (1.8103)	Prec@1 56.250 (52.525)	Prec@5 89.062 (81.876)
Epoch: [79][12180/14090]	Time 0.741 (0.749)	Data 0.002 (0.001)	Loss 1.7327 (1.8103)	Prec@1 50.000 (52.524)	Prec@5 84.375 (81.875)
Epoch: [79][12190/14090]	Time 0.722 (0.749)	Data 0.001 (0.001)	Loss 1.5764 (1.8103)	Prec@1 63.281 (52.525)	Prec@5 82.031 (81.874)
Epoch: [79][12200/14090]	Time 0.756 (0.749)	Data 0.001 (0.001)	Loss 1.7800 (1.8103)	Prec@1 57.031 (52.524)	Prec@5 82.812 (81.875)
Epoch: [79][12210/14090]	Time 0.735 (0.749)	Data 0.001 (0.001)	Loss 1.9449 (1.8103)	Prec@1 52.344 (52.525)	Prec@5 80.469 (81.875)
Epoch: [79][12220/14090]	Time 0.743 (0.749)	Data 0.001 (0.001)	Loss 1.6706 (1.8103)	Prec@1 55.469 (52.525)	Prec@5 85.156 (81.877)
Epoch: [79][12230/14090]	Time 0.736 (0.749)	Data 0.001 (0.001)	Loss 2.0169 (1.8103)	Prec@1 50.781 (52.523)	Prec@5 78.906 (81.876)
Epoch: [79][12240/14090]	Time 0.752 (0.749)	Data 0.001 (0.001)	Loss 1.8378 (1.8103)	Prec@1 52.344 (52.524)	Prec@5 82.031 (81.876)
Epoch: [79][12250/14090]	Time 0.778 (0.749)	Data 0.002 (0.001)	Loss 1.4221 (1.8103)	Prec@1 62.500 (52.524)	Prec@5 86.719 (81.877)
Epoch: [79][12260/14090]	Time 0.760 (0.749)	Data 0.001 (0.001)	Loss 1.5399 (1.8102)	Prec@1 58.594 (52.523)	Prec@5 86.719 (81.877)
Epoch: [79][12270/14090]	Time 0.747 (0.749)	Data 0.001 (0.001)	Loss 1.8058 (1.8102)	Prec@1 54.688 (52.525)	Prec@5 84.375 (81.879)
Epoch: [79][12280/14090]	Time 0.727 (0.749)	Data 0.001 (0.001)	Loss 1.8599 (1.8102)	Prec@1 53.125 (52.526)	Prec@5 76.562 (81.879)
Epoch: [79][12290/14090]	Time 0.772 (0.749)	Data 0.001 (0.001)	Loss 1.8134 (1.8102)	Prec@1 50.781 (52.525)	Prec@5 84.375 (81.878)
Epoch: [79][12300/14090]	Time 0.766 (0.749)	Data 0.001 (0.001)	Loss 1.7985 (1.8102)	Prec@1 50.781 (52.523)	Prec@5 79.688 (81.877)
Epoch: [79][12310/14090]	Time 0.736 (0.749)	Data 0.001 (0.001)	Loss 2.0736 (1.8102)	Prec@1 44.531 (52.521)	Prec@5 75.000 (81.877)
Epoch: [79][12320/14090]	Time 0.735 (0.749)	Data 0.002 (0.001)	Loss 1.9792 (1.8102)	Prec@1 46.875 (52.522)	Prec@5 77.344 (81.876)
Epoch: [79][12330/14090]	Time 0.758 (0.749)	Data 0.001 (0.001)	Loss 1.7678 (1.8102)	Prec@1 57.031 (52.523)	Prec@5 81.250 (81.878)
Epoch: [79][12340/14090]	Time 0.762 (0.749)	Data 0.001 (0.001)	Loss 1.5699 (1.8102)	Prec@1 57.812 (52.522)	Prec@5 85.938 (81.878)
Epoch: [79][12350/14090]	Time 0.732 (0.749)	Data 0.001 (0.001)	Loss 1.8174 (1.8102)	Prec@1 54.688 (52.522)	Prec@5 80.469 (81.878)
Epoch: [79][12360/14090]	Time 0.746 (0.749)	Data 0.001 (0.001)	Loss 1.5444 (1.8102)	Prec@1 57.031 (52.522)	Prec@5 89.062 (81.877)
Epoch: [79][12370/14090]	Time 0.736 (0.749)	Data 0.001 (0.001)	Loss 1.7964 (1.8102)	Prec@1 51.562 (52.523)	Prec@5 82.812 (81.877)
Epoch: [79][12380/14090]	Time 0.755 (0.749)	Data 0.001 (0.001)	Loss 1.7849 (1.8102)	Prec@1 54.688 (52.521)	Prec@5 83.594 (81.877)
Epoch: [79][12390/14090]	Time 0.729 (0.749)	Data 0.002 (0.001)	Loss 1.5021 (1.8102)	Prec@1 56.250 (52.522)	Prec@5 85.938 (81.878)
Epoch: [79][12400/14090]	Time 0.765 (0.749)	Data 0.001 (0.001)	Loss 1.8261 (1.8101)	Prec@1 48.438 (52.522)	Prec@5 82.031 (81.878)
Epoch: [79][12410/14090]	Time 0.734 (0.749)	Data 0.001 (0.001)	Loss 2.0951 (1.8102)	Prec@1 44.531 (52.522)	Prec@5 76.562 (81.878)
Epoch: [79][12420/14090]	Time 0.768 (0.749)	Data 0.001 (0.001)	Loss 1.9139 (1.8102)	Prec@1 50.000 (52.520)	Prec@5 83.594 (81.878)
Epoch: [79][12430/14090]	Time 0.756 (0.749)	Data 0.001 (0.001)	Loss 1.8193 (1.8103)	Prec@1 53.906 (52.520)	Prec@5 86.719 (81.877)
Epoch: [79][12440/14090]	Time 0.753 (0.749)	Data 0.001 (0.001)	Loss 1.6154 (1.8103)	Prec@1 54.688 (52.518)	Prec@5 85.938 (81.877)
Epoch: [79][12450/14090]	Time 0.735 (0.749)	Data 0.001 (0.001)	Loss 1.4752 (1.8103)	Prec@1 60.156 (52.518)	Prec@5 89.062 (81.878)
Epoch: [79][12460/14090]	Time 0.757 (0.749)	Data 0.002 (0.001)	Loss 1.8265 (1.8102)	Prec@1 53.906 (52.519)	Prec@5 78.125 (81.879)
Epoch: [79][12470/14090]	Time 0.756 (0.749)	Data 0.001 (0.001)	Loss 1.7257 (1.8101)	Prec@1 55.469 (52.521)	Prec@5 85.156 (81.880)
Epoch: [79][12480/14090]	Time 0.742 (0.749)	Data 0.001 (0.001)	Loss 1.9349 (1.8102)	Prec@1 53.906 (52.520)	Prec@5 78.906 (81.880)
Epoch: [79][12490/14090]	Time 0.755 (0.749)	Data 0.001 (0.001)	Loss 1.8396 (1.8102)	Prec@1 53.125 (52.522)	Prec@5 79.688 (81.880)
Epoch: [79][12500/14090]	Time 0.743 (0.749)	Data 0.001 (0.001)	Loss 1.8852 (1.8101)	Prec@1 52.344 (52.522)	Prec@5 82.031 (81.880)
Epoch: [79][12510/14090]	Time 0.740 (0.749)	Data 0.001 (0.001)	Loss 1.5941 (1.8101)	Prec@1 57.031 (52.523)	Prec@5 82.812 (81.879)
Epoch: [79][12520/14090]	Time 0.766 (0.749)	Data 0.001 (0.001)	Loss 1.6112 (1.8101)	Prec@1 53.125 (52.524)	Prec@5 86.719 (81.880)
Epoch: [79][12530/14090]	Time 0.750 (0.749)	Data 0.002 (0.001)	Loss 1.8690 (1.8102)	Prec@1 50.000 (52.522)	Prec@5 82.031 (81.879)
Epoch: [79][12540/14090]	Time 0.725 (0.749)	Data 0.001 (0.001)	Loss 1.4542 (1.8101)	Prec@1 62.500 (52.524)	Prec@5 85.938 (81.879)
Epoch: [79][12550/14090]	Time 0.756 (0.749)	Data 0.001 (0.001)	Loss 1.9096 (1.8102)	Prec@1 46.094 (52.521)	Prec@5 84.375 (81.878)
Epoch: [79][12560/14090]	Time 0.755 (0.749)	Data 0.001 (0.001)	Loss 1.6427 (1.8102)	Prec@1 56.250 (52.523)	Prec@5 83.594 (81.878)
Epoch: [79][12570/14090]	Time 0.773 (0.749)	Data 0.002 (0.001)	Loss 1.6103 (1.8101)	Prec@1 60.938 (52.524)	Prec@5 85.156 (81.879)
Epoch: [79][12580/14090]	Time 0.757 (0.749)	Data 0.001 (0.001)	Loss 1.6900 (1.8101)	Prec@1 54.688 (52.523)	Prec@5 85.938 (81.879)
Epoch: [79][12590/14090]	Time 0.726 (0.749)	Data 0.001 (0.001)	Loss 1.5567 (1.8101)	Prec@1 54.688 (52.524)	Prec@5 84.375 (81.878)
Epoch: [79][12600/14090]	Time 0.750 (0.749)	Data 0.002 (0.001)	Loss 1.8078 (1.8101)	Prec@1 50.781 (52.524)	Prec@5 81.250 (81.879)
Epoch: [79][12610/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 1.7780 (1.8101)	Prec@1 56.250 (52.523)	Prec@5 82.031 (81.879)
Epoch: [79][12620/14090]	Time 0.737 (0.749)	Data 0.001 (0.001)	Loss 1.8493 (1.8101)	Prec@1 57.031 (52.524)	Prec@5 77.344 (81.878)
Epoch: [79][12630/14090]	Time 0.749 (0.749)	Data 0.001 (0.001)	Loss 1.9141 (1.8102)	Prec@1 53.125 (52.523)	Prec@5 85.156 (81.878)
Epoch: [79][12640/14090]	Time 0.726 (0.749)	Data 0.001 (0.001)	Loss 1.7745 (1.8102)	Prec@1 52.344 (52.523)	Prec@5 79.688 (81.878)
Epoch: [79][12650/14090]	Time 0.726 (0.749)	Data 0.001 (0.001)	Loss 2.3177 (1.8102)	Prec@1 40.625 (52.523)	Prec@5 73.438 (81.877)
Epoch: [79][12660/14090]	Time 0.753 (0.749)	Data 0.001 (0.001)	Loss 1.7876 (1.8102)	Prec@1 58.594 (52.523)	Prec@5 81.250 (81.876)
Epoch: [79][12670/14090]	Time 0.753 (0.749)	Data 0.002 (0.001)	Loss 1.9146 (1.8102)	Prec@1 51.562 (52.525)	Prec@5 80.469 (81.878)
Epoch: [79][12680/14090]	Time 0.737 (0.749)	Data 0.001 (0.001)	Loss 1.6541 (1.8101)	Prec@1 55.469 (52.525)	Prec@5 86.719 (81.879)
Epoch: [79][12690/14090]	Time 0.737 (0.749)	Data 0.001 (0.001)	Loss 1.7054 (1.8102)	Prec@1 48.438 (52.524)	Prec@5 85.156 (81.878)
Epoch: [79][12700/14090]	Time 0.728 (0.749)	Data 0.001 (0.001)	Loss 1.7060 (1.8102)	Prec@1 53.906 (52.524)	Prec@5 87.500 (81.878)
Epoch: [79][12710/14090]	Time 0.758 (0.749)	Data 0.001 (0.001)	Loss 1.7554 (1.8101)	Prec@1 53.906 (52.526)	Prec@5 78.906 (81.877)
Epoch: [79][12720/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 1.7355 (1.8101)	Prec@1 42.969 (52.525)	Prec@5 85.938 (81.878)
Epoch: [79][12730/14090]	Time 0.778 (0.749)	Data 0.001 (0.001)	Loss 1.9001 (1.8101)	Prec@1 47.656 (52.525)	Prec@5 78.906 (81.878)
Epoch: [79][12740/14090]	Time 0.720 (0.749)	Data 0.002 (0.001)	Loss 1.8358 (1.8101)	Prec@1 60.156 (52.526)	Prec@5 79.688 (81.876)
Epoch: [79][12750/14090]	Time 0.736 (0.749)	Data 0.001 (0.001)	Loss 1.6260 (1.8101)	Prec@1 51.562 (52.526)	Prec@5 87.500 (81.876)
Epoch: [79][12760/14090]	Time 0.760 (0.749)	Data 0.001 (0.001)	Loss 1.8209 (1.8101)	Prec@1 49.219 (52.525)	Prec@5 83.594 (81.877)
Epoch: [79][12770/14090]	Time 0.743 (0.749)	Data 0.001 (0.001)	Loss 1.8673 (1.8100)	Prec@1 46.094 (52.525)	Prec@5 78.906 (81.877)
Epoch: [79][12780/14090]	Time 0.750 (0.749)	Data 0.001 (0.001)	Loss 1.9680 (1.8100)	Prec@1 49.219 (52.525)	Prec@5 76.562 (81.877)
Epoch: [79][12790/14090]	Time 0.757 (0.749)	Data 0.001 (0.001)	Loss 1.4770 (1.8100)	Prec@1 64.844 (52.526)	Prec@5 90.625 (81.877)
Epoch: [79][12800/14090]	Time 0.739 (0.749)	Data 0.001 (0.001)	Loss 1.8720 (1.8101)	Prec@1 53.125 (52.525)	Prec@5 81.250 (81.877)
Epoch: [79][12810/14090]	Time 0.733 (0.749)	Data 0.002 (0.001)	Loss 1.9232 (1.8100)	Prec@1 47.656 (52.526)	Prec@5 80.469 (81.878)
Epoch: [79][12820/14090]	Time 0.756 (0.749)	Data 0.001 (0.001)	Loss 1.4636 (1.8100)	Prec@1 60.938 (52.528)	Prec@5 89.062 (81.878)
Epoch: [79][12830/14090]	Time 0.761 (0.749)	Data 0.001 (0.001)	Loss 1.9340 (1.8100)	Prec@1 49.219 (52.527)	Prec@5 81.250 (81.878)
Epoch: [79][12840/14090]	Time 0.729 (0.749)	Data 0.001 (0.001)	Loss 1.8362 (1.8100)	Prec@1 50.000 (52.527)	Prec@5 83.594 (81.878)
Epoch: [79][12850/14090]	Time 0.732 (0.749)	Data 0.001 (0.001)	Loss 1.8179 (1.8100)	Prec@1 49.219 (52.527)	Prec@5 84.375 (81.879)
Epoch: [79][12860/14090]	Time 0.724 (0.749)	Data 0.001 (0.001)	Loss 1.9092 (1.8100)	Prec@1 46.875 (52.527)	Prec@5 78.906 (81.879)
Epoch: [79][12870/14090]	Time 0.752 (0.749)	Data 0.001 (0.001)	Loss 1.8333 (1.8100)	Prec@1 48.438 (52.526)	Prec@5 84.375 (81.879)
Epoch: [79][12880/14090]	Time 0.755 (0.749)	Data 0.002 (0.001)	Loss 1.9574 (1.8101)	Prec@1 46.875 (52.526)	Prec@5 78.125 (81.879)
Epoch: [79][12890/14090]	Time 0.770 (0.749)	Data 0.001 (0.001)	Loss 2.0754 (1.8101)	Prec@1 45.312 (52.525)	Prec@5 78.906 (81.880)
Epoch: [79][12900/14090]	Time 0.775 (0.749)	Data 0.001 (0.001)	Loss 1.6012 (1.8101)	Prec@1 57.812 (52.526)	Prec@5 82.812 (81.879)
Epoch: [79][12910/14090]	Time 0.754 (0.749)	Data 0.001 (0.001)	Loss 1.8406 (1.8101)	Prec@1 58.594 (52.525)	Prec@5 81.250 (81.879)
Epoch: [79][12920/14090]	Time 0.755 (0.749)	Data 0.001 (0.001)	Loss 1.6177 (1.8101)	Prec@1 57.031 (52.526)	Prec@5 87.500 (81.878)
Epoch: [79][12930/14090]	Time 0.748 (0.749)	Data 0.001 (0.001)	Loss 1.9536 (1.8101)	Prec@1 47.656 (52.526)	Prec@5 75.000 (81.878)
Epoch: [79][12940/14090]	Time 0.765 (0.749)	Data 0.001 (0.001)	Loss 1.6264 (1.8101)	Prec@1 55.469 (52.527)	Prec@5 86.719 (81.878)
Epoch: [79][12950/14090]	Time 0.743 (0.749)	Data 0.002 (0.001)	Loss 1.7851 (1.8101)	Prec@1 53.125 (52.527)	Prec@5 85.156 (81.878)
Epoch: [79][12960/14090]	Time 0.760 (0.749)	Data 0.001 (0.001)	Loss 1.9265 (1.8101)	Prec@1 50.781 (52.528)	Prec@5 72.656 (81.877)
Epoch: [79][12970/14090]	Time 0.769 (0.749)	Data 0.001 (0.001)	Loss 1.9085 (1.8101)	Prec@1 50.781 (52.528)	Prec@5 82.031 (81.877)
Epoch: [79][12980/14090]	Time 0.754 (0.749)	Data 0.001 (0.001)	Loss 1.8824 (1.8102)	Prec@1 52.344 (52.526)	Prec@5 81.250 (81.874)
Epoch: [79][12990/14090]	Time 0.753 (0.749)	Data 0.001 (0.001)	Loss 1.9307 (1.8101)	Prec@1 48.438 (52.528)	Prec@5 79.688 (81.875)
Epoch: [79][13000/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 1.8522 (1.8101)	Prec@1 46.875 (52.528)	Prec@5 84.375 (81.876)
Epoch: [79][13010/14090]	Time 0.763 (0.749)	Data 0.001 (0.001)	Loss 2.1943 (1.8101)	Prec@1 42.969 (52.530)	Prec@5 78.125 (81.877)
Epoch: [79][13020/14090]	Time 0.750 (0.749)	Data 0.002 (0.001)	Loss 2.0196 (1.8100)	Prec@1 49.219 (52.530)	Prec@5 78.906 (81.877)
Epoch: [79][13030/14090]	Time 0.731 (0.749)	Data 0.001 (0.001)	Loss 1.9883 (1.8101)	Prec@1 48.438 (52.529)	Prec@5 82.031 (81.877)
Epoch: [79][13040/14090]	Time 0.762 (0.749)	Data 0.001 (0.001)	Loss 1.9080 (1.8101)	Prec@1 50.781 (52.529)	Prec@5 81.250 (81.877)
Epoch: [79][13050/14090]	Time 0.722 (0.749)	Data 0.001 (0.001)	Loss 1.9719 (1.8101)	Prec@1 46.875 (52.530)	Prec@5 78.125 (81.877)
Epoch: [79][13060/14090]	Time 0.762 (0.749)	Data 0.001 (0.001)	Loss 1.7638 (1.8101)	Prec@1 54.688 (52.529)	Prec@5 84.375 (81.878)
Epoch: [79][13070/14090]	Time 0.744 (0.749)	Data 0.001 (0.001)	Loss 1.9449 (1.8101)	Prec@1 53.125 (52.528)	Prec@5 78.906 (81.878)
Epoch: [79][13080/14090]	Time 0.784 (0.749)	Data 0.001 (0.001)	Loss 1.6346 (1.8101)	Prec@1 49.219 (52.528)	Prec@5 89.062 (81.878)
Epoch: [79][13090/14090]	Time 0.776 (0.749)	Data 0.003 (0.001)	Loss 1.9324 (1.8101)	Prec@1 53.906 (52.529)	Prec@5 82.812 (81.878)
Epoch: [79][13100/14090]	Time 0.757 (0.749)	Data 0.001 (0.001)	Loss 1.6144 (1.8101)	Prec@1 53.906 (52.527)	Prec@5 82.812 (81.877)
Epoch: [79][13110/14090]	Time 0.753 (0.749)	Data 0.001 (0.001)	Loss 1.8694 (1.8101)	Prec@1 52.344 (52.526)	Prec@5 83.594 (81.877)
Epoch: [79][13120/14090]	Time 0.762 (0.749)	Data 0.001 (0.001)	Loss 1.9732 (1.8101)	Prec@1 46.094 (52.525)	Prec@5 78.906 (81.877)
Epoch: [79][13130/14090]	Time 0.761 (0.749)	Data 0.001 (0.001)	Loss 1.7369 (1.8101)	Prec@1 55.469 (52.526)	Prec@5 88.281 (81.878)
Epoch: [79][13140/14090]	Time 0.735 (0.749)	Data 0.001 (0.001)	Loss 1.7786 (1.8101)	Prec@1 50.000 (52.525)	Prec@5 83.594 (81.878)
Epoch: [79][13150/14090]	Time 0.745 (0.749)	Data 0.001 (0.001)	Loss 1.8964 (1.8102)	Prec@1 46.094 (52.523)	Prec@5 82.031 (81.878)
Epoch: [79][13160/14090]	Time 0.756 (0.749)	Data 0.002 (0.001)	Loss 1.9150 (1.8101)	Prec@1 52.344 (52.524)	Prec@5 81.250 (81.878)
Epoch: [79][13170/14090]	Time 0.746 (0.749)	Data 0.001 (0.001)	Loss 1.9247 (1.8102)	Prec@1 50.781 (52.525)	Prec@5 81.250 (81.877)
Epoch: [79][13180/14090]	Time 0.756 (0.749)	Data 0.001 (0.001)	Loss 1.6383 (1.8102)	Prec@1 54.688 (52.525)	Prec@5 86.719 (81.876)
Epoch: [79][13190/14090]	Time 0.760 (0.749)	Data 0.001 (0.001)	Loss 1.8160 (1.8101)	Prec@1 53.906 (52.525)	Prec@5 82.812 (81.877)
Epoch: [79][13200/14090]	Time 0.741 (0.749)	Data 0.001 (0.001)	Loss 1.7023 (1.8101)	Prec@1 57.031 (52.526)	Prec@5 85.156 (81.877)
Epoch: [79][13210/14090]	Time 0.767 (0.749)	Data 0.001 (0.001)	Loss 1.5787 (1.8101)	Prec@1 61.719 (52.527)	Prec@5 86.719 (81.879)
Epoch: [79][13220/14090]	Time 0.753 (0.749)	Data 0.001 (0.001)	Loss 2.0785 (1.8101)	Prec@1 42.969 (52.526)	Prec@5 79.688 (81.879)
Epoch: [79][13230/14090]	Time 0.731 (0.749)	Data 0.002 (0.001)	Loss 2.0077 (1.8101)	Prec@1 49.219 (52.527)	Prec@5 81.250 (81.880)
Epoch: [79][13240/14090]	Time 0.721 (0.749)	Data 0.001 (0.001)	Loss 2.0345 (1.8101)	Prec@1 44.531 (52.527)	Prec@5 76.562 (81.880)
Epoch: [79][13250/14090]	Time 0.762 (0.749)	Data 0.001 (0.001)	Loss 1.7298 (1.8101)	Prec@1 51.562 (52.527)	Prec@5 85.156 (81.880)
Epoch: [79][13260/14090]	Time 0.745 (0.749)	Data 0.001 (0.001)	Loss 1.5970 (1.8101)	Prec@1 64.062 (52.528)	Prec@5 84.375 (81.879)
Epoch: [79][13270/14090]	Time 0.775 (0.749)	Data 0.001 (0.001)	Loss 1.9686 (1.8101)	Prec@1 53.906 (52.528)	Prec@5 78.906 (81.878)
Epoch: [79][13280/14090]	Time 0.752 (0.749)	Data 0.001 (0.001)	Loss 1.7133 (1.8101)	Prec@1 50.781 (52.528)	Prec@5 85.938 (81.879)
Epoch: [79][13290/14090]	Time 0.749 (0.749)	Data 0.001 (0.001)	Loss 1.9589 (1.8101)	Prec@1 49.219 (52.528)	Prec@5 76.562 (81.878)
Epoch: [79][13300/14090]	Time 0.747 (0.749)	Data 0.002 (0.001)	Loss 1.9927 (1.8101)	Prec@1 46.094 (52.528)	Prec@5 76.562 (81.878)
Epoch: [79][13310/14090]	Time 0.749 (0.749)	Data 0.001 (0.001)	Loss 1.6479 (1.8101)	Prec@1 59.375 (52.529)	Prec@5 83.594 (81.878)
Epoch: [79][13320/14090]	Time 0.724 (0.749)	Data 0.001 (0.001)	Loss 1.6195 (1.8100)	Prec@1 58.594 (52.530)	Prec@5 85.156 (81.880)
Epoch: [79][13330/14090]	Time 0.781 (0.749)	Data 0.001 (0.001)	Loss 2.1100 (1.8100)	Prec@1 42.188 (52.529)	Prec@5 77.344 (81.879)
Epoch: [79][13340/14090]	Time 0.729 (0.749)	Data 0.001 (0.001)	Loss 1.8643 (1.8101)	Prec@1 55.469 (52.528)	Prec@5 73.438 (81.878)
Epoch: [79][13350/14090]	Time 0.764 (0.749)	Data 0.001 (0.001)	Loss 1.8795 (1.8100)	Prec@1 51.562 (52.529)	Prec@5 81.250 (81.879)
Epoch: [79][13360/14090]	Time 0.762 (0.749)	Data 0.001 (0.001)	Loss 1.7959 (1.8100)	Prec@1 57.031 (52.529)	Prec@5 82.812 (81.879)
Epoch: [79][13370/14090]	Time 0.738 (0.749)	Data 0.002 (0.001)	Loss 1.6181 (1.8101)	Prec@1 61.719 (52.528)	Prec@5 85.156 (81.879)
Epoch: [79][13380/14090]	Time 0.785 (0.749)	Data 0.003 (0.001)	Loss 1.8831 (1.8100)	Prec@1 49.219 (52.531)	Prec@5 80.469 (81.881)
Epoch: [79][13390/14090]	Time 0.756 (0.749)	Data 0.001 (0.001)	Loss 1.9624 (1.8100)	Prec@1 49.219 (52.530)	Prec@5 84.375 (81.881)
Epoch: [79][13400/14090]	Time 0.748 (0.749)	Data 0.001 (0.001)	Loss 1.7766 (1.8101)	Prec@1 57.812 (52.529)	Prec@5 82.031 (81.880)
Epoch: [79][13410/14090]	Time 0.776 (0.749)	Data 0.001 (0.001)	Loss 2.0083 (1.8101)	Prec@1 47.656 (52.529)	Prec@5 81.250 (81.879)
Epoch: [79][13420/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 1.8389 (1.8101)	Prec@1 51.562 (52.529)	Prec@5 81.250 (81.880)
Epoch: [79][13430/14090]	Time 0.777 (0.749)	Data 0.003 (0.001)	Loss 1.8130 (1.8101)	Prec@1 53.125 (52.528)	Prec@5 81.250 (81.880)
Epoch: [79][13440/14090]	Time 0.735 (0.749)	Data 0.002 (0.001)	Loss 1.9569 (1.8101)	Prec@1 53.125 (52.528)	Prec@5 79.688 (81.880)
Epoch: [79][13450/14090]	Time 0.752 (0.749)	Data 0.001 (0.001)	Loss 1.5086 (1.8101)	Prec@1 54.688 (52.528)	Prec@5 86.719 (81.880)
Epoch: [79][13460/14090]	Time 0.762 (0.749)	Data 0.001 (0.001)	Loss 1.9182 (1.8100)	Prec@1 55.469 (52.529)	Prec@5 75.781 (81.880)
Epoch: [79][13470/14090]	Time 0.749 (0.749)	Data 0.001 (0.001)	Loss 1.7157 (1.8100)	Prec@1 53.125 (52.529)	Prec@5 83.594 (81.882)
Epoch: [79][13480/14090]	Time 0.745 (0.749)	Data 0.001 (0.001)	Loss 2.0590 (1.8099)	Prec@1 47.656 (52.529)	Prec@5 75.781 (81.883)
Epoch: [79][13490/14090]	Time 0.752 (0.749)	Data 0.001 (0.001)	Loss 1.7709 (1.8100)	Prec@1 53.906 (52.527)	Prec@5 79.688 (81.882)
Epoch: [79][13500/14090]	Time 0.740 (0.749)	Data 0.001 (0.001)	Loss 1.7842 (1.8100)	Prec@1 44.531 (52.527)	Prec@5 82.812 (81.882)
Epoch: [79][13510/14090]	Time 0.752 (0.749)	Data 0.002 (0.001)	Loss 1.9696 (1.8100)	Prec@1 46.875 (52.526)	Prec@5 75.781 (81.882)
Epoch: [79][13520/14090]	Time 0.730 (0.749)	Data 0.001 (0.001)	Loss 2.0243 (1.8101)	Prec@1 53.906 (52.526)	Prec@5 76.562 (81.881)
Epoch: [79][13530/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 1.8644 (1.8101)	Prec@1 50.781 (52.526)	Prec@5 80.469 (81.880)
Epoch: [79][13540/14090]	Time 0.749 (0.749)	Data 0.001 (0.001)	Loss 1.5372 (1.8101)	Prec@1 57.031 (52.527)	Prec@5 87.500 (81.880)
Epoch: [79][13550/14090]	Time 0.727 (0.749)	Data 0.001 (0.001)	Loss 1.7052 (1.8100)	Prec@1 55.469 (52.528)	Prec@5 85.156 (81.881)
Epoch: [79][13560/14090]	Time 0.733 (0.749)	Data 0.001 (0.001)	Loss 1.9717 (1.8100)	Prec@1 53.125 (52.529)	Prec@5 79.688 (81.882)
Epoch: [79][13570/14090]	Time 0.729 (0.749)	Data 0.001 (0.001)	Loss 1.6253 (1.8100)	Prec@1 53.125 (52.529)	Prec@5 87.500 (81.881)
Epoch: [79][13580/14090]	Time 0.735 (0.749)	Data 0.002 (0.001)	Loss 1.8295 (1.8100)	Prec@1 49.219 (52.529)	Prec@5 82.031 (81.882)
Epoch: [79][13590/14090]	Time 0.764 (0.749)	Data 0.001 (0.001)	Loss 1.6980 (1.8100)	Prec@1 57.031 (52.530)	Prec@5 83.594 (81.883)
Epoch: [79][13600/14090]	Time 0.757 (0.749)	Data 0.001 (0.001)	Loss 1.9680 (1.8100)	Prec@1 47.656 (52.528)	Prec@5 79.688 (81.882)
Epoch: [79][13610/14090]	Time 0.764 (0.749)	Data 0.001 (0.001)	Loss 1.8950 (1.8101)	Prec@1 48.438 (52.528)	Prec@5 82.031 (81.880)
Epoch: [79][13620/14090]	Time 0.745 (0.749)	Data 0.001 (0.001)	Loss 1.9983 (1.8101)	Prec@1 53.125 (52.528)	Prec@5 75.000 (81.880)
Epoch: [79][13630/14090]	Time 0.720 (0.749)	Data 0.001 (0.001)	Loss 1.9400 (1.8101)	Prec@1 45.312 (52.527)	Prec@5 79.688 (81.880)
Epoch: [79][13640/14090]	Time 0.756 (0.749)	Data 0.001 (0.001)	Loss 1.9156 (1.8100)	Prec@1 49.219 (52.528)	Prec@5 79.688 (81.881)
Epoch: [79][13650/14090]	Time 0.734 (0.749)	Data 0.002 (0.001)	Loss 1.8360 (1.8100)	Prec@1 50.781 (52.528)	Prec@5 80.469 (81.882)
Epoch: [79][13660/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 1.9072 (1.8100)	Prec@1 55.469 (52.529)	Prec@5 77.344 (81.882)
Epoch: [79][13670/14090]	Time 0.765 (0.749)	Data 0.001 (0.001)	Loss 1.7947 (1.8100)	Prec@1 51.562 (52.527)	Prec@5 79.688 (81.882)
Epoch: [79][13680/14090]	Time 0.733 (0.749)	Data 0.001 (0.001)	Loss 2.0394 (1.8100)	Prec@1 49.219 (52.526)	Prec@5 78.125 (81.881)
Epoch: [79][13690/14090]	Time 0.734 (0.749)	Data 0.001 (0.001)	Loss 1.6309 (1.8100)	Prec@1 59.375 (52.527)	Prec@5 84.375 (81.881)
Epoch: [79][13700/14090]	Time 0.740 (0.749)	Data 0.001 (0.001)	Loss 1.7793 (1.8100)	Prec@1 55.469 (52.528)	Prec@5 82.812 (81.882)
Epoch: [79][13710/14090]	Time 0.724 (0.749)	Data 0.001 (0.001)	Loss 1.6895 (1.8100)	Prec@1 57.812 (52.526)	Prec@5 85.156 (81.882)
Epoch: [79][13720/14090]	Time 0.757 (0.749)	Data 0.002 (0.001)	Loss 1.9944 (1.8100)	Prec@1 45.312 (52.525)	Prec@5 77.344 (81.881)
Epoch: [79][13730/14090]	Time 0.754 (0.749)	Data 0.001 (0.001)	Loss 1.6655 (1.8100)	Prec@1 53.906 (52.525)	Prec@5 81.250 (81.882)
Epoch: [79][13740/14090]	Time 0.755 (0.749)	Data 0.001 (0.001)	Loss 1.6658 (1.8100)	Prec@1 57.812 (52.525)	Prec@5 88.281 (81.883)
Epoch: [79][13750/14090]	Time 0.740 (0.749)	Data 0.001 (0.001)	Loss 1.9266 (1.8099)	Prec@1 50.000 (52.528)	Prec@5 82.812 (81.885)
Epoch: [79][13760/14090]	Time 0.750 (0.749)	Data 0.001 (0.001)	Loss 1.8906 (1.8100)	Prec@1 53.125 (52.527)	Prec@5 75.781 (81.883)
Epoch: [79][13770/14090]	Time 0.736 (0.749)	Data 0.001 (0.001)	Loss 1.6175 (1.8100)	Prec@1 54.688 (52.526)	Prec@5 85.156 (81.883)
Epoch: [79][13780/14090]	Time 0.725 (0.749)	Data 0.001 (0.001)	Loss 1.9656 (1.8100)	Prec@1 47.656 (52.524)	Prec@5 78.125 (81.882)
Epoch: [79][13790/14090]	Time 0.770 (0.749)	Data 0.002 (0.001)	Loss 1.8767 (1.8101)	Prec@1 50.781 (52.523)	Prec@5 82.812 (81.882)
Epoch: [79][13800/14090]	Time 0.742 (0.749)	Data 0.001 (0.001)	Loss 1.8248 (1.8100)	Prec@1 48.438 (52.523)	Prec@5 82.812 (81.884)
Epoch: [79][13810/14090]	Time 0.748 (0.749)	Data 0.001 (0.001)	Loss 1.8087 (1.8099)	Prec@1 52.344 (52.524)	Prec@5 78.906 (81.884)
Epoch: [79][13820/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 1.5950 (1.8099)	Prec@1 57.031 (52.525)	Prec@5 84.375 (81.883)
Epoch: [79][13830/14090]	Time 0.753 (0.749)	Data 0.001 (0.001)	Loss 1.5102 (1.8100)	Prec@1 60.938 (52.525)	Prec@5 85.156 (81.883)
Epoch: [79][13840/14090]	Time 0.747 (0.749)	Data 0.001 (0.001)	Loss 1.9574 (1.8101)	Prec@1 48.438 (52.523)	Prec@5 84.375 (81.882)
Epoch: [79][13850/14090]	Time 0.758 (0.749)	Data 0.001 (0.001)	Loss 2.0072 (1.8101)	Prec@1 51.562 (52.523)	Prec@5 80.469 (81.883)
Epoch: [79][13860/14090]	Time 0.765 (0.749)	Data 0.002 (0.001)	Loss 1.7765 (1.8100)	Prec@1 57.031 (52.524)	Prec@5 82.031 (81.883)
Epoch: [79][13870/14090]	Time 0.769 (0.749)	Data 0.001 (0.001)	Loss 1.8029 (1.8100)	Prec@1 53.906 (52.525)	Prec@5 80.469 (81.883)
Epoch: [79][13880/14090]	Time 0.740 (0.749)	Data 0.001 (0.001)	Loss 2.0611 (1.8100)	Prec@1 43.750 (52.524)	Prec@5 72.656 (81.881)
Epoch: [79][13890/14090]	Time 0.742 (0.749)	Data 0.001 (0.001)	Loss 1.6999 (1.8101)	Prec@1 52.344 (52.524)	Prec@5 83.594 (81.880)
Epoch: [79][13900/14090]	Time 0.749 (0.749)	Data 0.001 (0.001)	Loss 1.7411 (1.8101)	Prec@1 53.125 (52.523)	Prec@5 81.250 (81.880)
Epoch: [79][13910/14090]	Time 0.755 (0.749)	Data 0.001 (0.001)	Loss 1.6702 (1.8101)	Prec@1 50.781 (52.525)	Prec@5 85.938 (81.881)
Epoch: [79][13920/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 1.7883 (1.8101)	Prec@1 53.125 (52.524)	Prec@5 80.469 (81.880)
Epoch: [79][13930/14090]	Time 0.757 (0.749)	Data 0.002 (0.001)	Loss 1.9367 (1.8101)	Prec@1 50.781 (52.524)	Prec@5 78.125 (81.880)
Epoch: [79][13940/14090]	Time 0.740 (0.749)	Data 0.001 (0.001)	Loss 1.9366 (1.8101)	Prec@1 51.562 (52.524)	Prec@5 82.812 (81.881)
Epoch: [79][13950/14090]	Time 0.762 (0.749)	Data 0.001 (0.001)	Loss 1.7770 (1.8101)	Prec@1 48.438 (52.523)	Prec@5 81.250 (81.880)
Epoch: [79][13960/14090]	Time 0.767 (0.749)	Data 0.001 (0.001)	Loss 1.7258 (1.8101)	Prec@1 54.688 (52.522)	Prec@5 84.375 (81.880)
Epoch: [79][13970/14090]	Time 0.737 (0.749)	Data 0.001 (0.001)	Loss 1.6536 (1.8101)	Prec@1 59.375 (52.524)	Prec@5 83.594 (81.881)
Epoch: [79][13980/14090]	Time 0.762 (0.749)	Data 0.001 (0.001)	Loss 2.3105 (1.8101)	Prec@1 42.969 (52.523)	Prec@5 67.969 (81.881)
Epoch: [79][13990/14090]	Time 0.756 (0.749)	Data 0.001 (0.001)	Loss 1.9858 (1.8100)	Prec@1 50.781 (52.523)	Prec@5 72.656 (81.881)
Epoch: [79][14000/14090]	Time 0.752 (0.749)	Data 0.002 (0.001)	Loss 2.0850 (1.8101)	Prec@1 49.219 (52.522)	Prec@5 77.344 (81.880)
Epoch: [79][14010/14090]	Time 0.757 (0.749)	Data 0.001 (0.001)	Loss 1.7457 (1.8100)	Prec@1 52.344 (52.523)	Prec@5 78.906 (81.880)
Epoch: [79][14020/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 1.7423 (1.8100)	Prec@1 53.906 (52.524)	Prec@5 82.031 (81.880)
Epoch: [79][14030/14090]	Time 0.754 (0.749)	Data 0.001 (0.001)	Loss 1.7351 (1.8100)	Prec@1 60.156 (52.524)	Prec@5 85.156 (81.880)
Epoch: [79][14040/14090]	Time 0.755 (0.749)	Data 0.001 (0.001)	Loss 2.1063 (1.8101)	Prec@1 46.875 (52.522)	Prec@5 78.125 (81.879)
Epoch: [79][14050/14090]	Time 0.727 (0.749)	Data 0.001 (0.001)	Loss 2.0510 (1.8101)	Prec@1 49.219 (52.522)	Prec@5 77.344 (81.879)
Epoch: [79][14060/14090]	Time 0.754 (0.749)	Data 0.001 (0.001)	Loss 1.6979 (1.8100)	Prec@1 58.594 (52.523)	Prec@5 84.375 (81.880)
Epoch: [79][14070/14090]	Time 0.745 (0.749)	Data 0.002 (0.001)	Loss 1.7849 (1.8100)	Prec@1 51.562 (52.523)	Prec@5 82.031 (81.880)
Epoch: [79][14080/14090]	Time 0.730 (0.749)	Data 0.000 (0.001)	Loss 1.8141 (1.8101)	Prec@1 50.000 (52.522)	Prec@5 82.812 (81.879)
Test: [0/286]	Time 4.034 (4.034)	Loss 1.2234 (1.2234)	Prec@1 58.594 (58.594)	Prec@5 96.094 (96.094)
Test: [10/286]	Time 0.350 (0.706)	Loss 1.8816 (1.7983)	Prec@1 46.875 (51.349)	Prec@5 85.938 (84.233)
Test: [20/286]	Time 0.230 (0.526)	Loss 1.4044 (1.7484)	Prec@1 60.156 (52.827)	Prec@5 92.188 (84.784)
Test: [30/286]	Time 0.231 (0.471)	Loss 1.7985 (1.6526)	Prec@1 50.781 (55.998)	Prec@5 82.812 (85.358)
Test: [40/286]	Time 1.321 (0.468)	Loss 1.7003 (1.6631)	Prec@1 54.688 (55.831)	Prec@5 88.281 (85.804)
Test: [50/286]	Time 0.330 (0.450)	Loss 0.4478 (1.6483)	Prec@1 92.188 (55.928)	Prec@5 96.094 (86.152)
Test: [60/286]	Time 0.246 (0.431)	Loss 2.6796 (1.6859)	Prec@1 37.500 (55.225)	Prec@5 67.969 (85.118)
Test: [70/286]	Time 0.231 (0.420)	Loss 1.0898 (1.6618)	Prec@1 75.781 (55.733)	Prec@5 92.969 (85.530)
Test: [80/286]	Time 1.135 (0.424)	Loss 1.9696 (1.6952)	Prec@1 47.656 (54.697)	Prec@5 82.031 (85.108)
Test: [90/286]	Time 0.435 (0.420)	Loss 1.9799 (1.7070)	Prec@1 48.438 (54.653)	Prec@5 84.375 (84.976)
Test: [100/286]	Time 0.292 (0.415)	Loss 2.2801 (1.7163)	Prec@1 31.250 (54.100)	Prec@5 81.250 (84.955)
Test: [110/286]	Time 0.228 (0.409)	Loss 2.2972 (1.7366)	Prec@1 42.969 (53.737)	Prec@5 74.219 (84.762)
Test: [120/286]	Time 0.976 (0.411)	Loss 1.4861 (1.7203)	Prec@1 63.281 (54.177)	Prec@5 80.469 (84.904)
Test: [130/286]	Time 0.430 (0.410)	Loss 0.7636 (1.7108)	Prec@1 76.562 (54.521)	Prec@5 97.656 (84.983)
Test: [140/286]	Time 0.239 (0.406)	Loss 2.2758 (1.7045)	Prec@1 48.438 (54.732)	Prec@5 74.219 (84.973)
Test: [150/286]	Time 0.289 (0.403)	Loss 2.9774 (1.7188)	Prec@1 28.125 (54.212)	Prec@5 69.531 (84.835)
Test: [160/286]	Time 1.206 (0.406)	Loss 2.5755 (1.7197)	Prec@1 29.688 (54.207)	Prec@5 72.656 (84.831)
Test: [170/286]	Time 0.238 (0.404)	Loss 1.9408 (1.7102)	Prec@1 45.312 (54.391)	Prec@5 80.469 (84.974)
Test: [180/286]	Time 0.259 (0.401)	Loss 1.9028 (1.7204)	Prec@1 58.594 (54.195)	Prec@5 79.688 (84.824)
Test: [190/286]	Time 0.239 (0.399)	Loss 2.7499 (1.7409)	Prec@1 19.531 (53.694)	Prec@5 73.438 (84.592)
Test: [200/286]	Time 1.391 (0.403)	Loss 2.0249 (1.7390)	Prec@1 53.125 (53.766)	Prec@5 82.031 (84.608)
Test: [210/286]	Time 0.237 (0.401)	Loss 1.7890 (1.7446)	Prec@1 56.250 (53.536)	Prec@5 85.938 (84.571)
Test: [220/286]	Time 0.244 (0.399)	Loss 2.5224 (1.7481)	Prec@1 26.562 (53.507)	Prec@5 77.344 (84.424)
Test: [230/286]	Time 0.233 (0.396)	Loss 1.1267 (1.7458)	Prec@1 67.969 (53.588)	Prec@5 90.625 (84.426)
Test: [240/286]	Time 0.923 (0.398)	Loss 1.9095 (1.7434)	Prec@1 53.906 (53.715)	Prec@5 82.812 (84.475)
Test: [250/286]	Time 0.310 (0.398)	Loss 1.7020 (1.7368)	Prec@1 50.000 (53.741)	Prec@5 84.375 (84.599)
Test: [260/286]	Time 0.230 (0.396)	Loss 1.5761 (1.7280)	Prec@1 57.031 (53.990)	Prec@5 88.281 (84.728)
Test: [270/286]	Time 0.255 (0.395)	Loss 1.1623 (1.7292)	Prec@1 70.312 (53.996)	Prec@5 89.844 (84.695)
Test: [280/286]	Time 0.680 (0.395)	Loss 1.6897 (1.7143)	Prec@1 55.469 (54.504)	Prec@5 90.625 (84.806)
 * Prec@1 54.616 Prec@5 84.847
Epoch: [80][0/14090]	Time 5.501 (5.501)	Data 4.743 (4.743)	Loss 1.5371 (1.5371)	Prec@1 59.375 (59.375)	Prec@5 85.938 (85.938)
Epoch: [80][10/14090]	Time 0.723 (1.172)	Data 0.001 (0.432)	Loss 1.7053 (1.6968)	Prec@1 53.125 (52.699)	Prec@5 82.031 (84.020)
Epoch: [80][20/14090]	Time 0.724 (0.972)	Data 0.001 (0.227)	Loss 2.0191 (1.7624)	Prec@1 49.219 (51.823)	Prec@5 78.125 (82.552)
Epoch: [80][30/14090]	Time 0.739 (0.899)	Data 0.001 (0.154)	Loss 2.0958 (1.7643)	Prec@1 46.875 (52.369)	Prec@5 77.344 (82.636)
Epoch: [80][40/14090]	Time 0.851 (0.867)	Data 0.001 (0.116)	Loss 1.8746 (1.8064)	Prec@1 48.438 (51.601)	Prec@5 83.594 (82.088)
Epoch: [80][50/14090]	Time 0.753 (0.846)	Data 0.003 (0.094)	Loss 1.5251 (1.7952)	Prec@1 55.469 (51.930)	Prec@5 88.281 (82.154)
Epoch: [80][60/14090]	Time 0.772 (0.832)	Data 0.001 (0.079)	Loss 1.9310 (1.7900)	Prec@1 45.312 (52.036)	Prec@5 82.031 (82.351)
Epoch: [80][70/14090]	Time 0.727 (0.822)	Data 0.001 (0.068)	Loss 1.8549 (1.7882)	Prec@1 56.250 (52.190)	Prec@5 78.125 (82.229)
Epoch: [80][80/14090]	Time 0.744 (0.814)	Data 0.001 (0.059)	Loss 1.7926 (1.7971)	Prec@1 53.125 (52.103)	Prec@5 83.594 (82.147)
Epoch: [80][90/14090]	Time 0.759 (0.810)	Data 0.001 (0.053)	Loss 1.8454 (1.7983)	Prec@1 50.781 (52.095)	Prec@5 79.688 (82.143)
Epoch: [80][100/14090]	Time 0.769 (0.805)	Data 0.001 (0.048)	Loss 1.8547 (1.7958)	Prec@1 53.906 (52.328)	Prec@5 77.344 (82.155)
Epoch: [80][110/14090]	Time 0.846 (0.801)	Data 0.001 (0.044)	Loss 1.9867 (1.7961)	Prec@1 56.250 (52.400)	Prec@5 78.906 (82.088)
Epoch: [80][120/14090]	Time 0.746 (0.797)	Data 0.001 (0.040)	Loss 2.0105 (1.8033)	Prec@1 52.344 (52.408)	Prec@5 78.906 (82.051)
Epoch: [80][130/14090]	Time 0.769 (0.793)	Data 0.001 (0.037)	Loss 1.6579 (1.7991)	Prec@1 57.031 (52.570)	Prec@5 87.500 (82.109)
Epoch: [80][140/14090]	Time 0.750 (0.790)	Data 0.001 (0.034)	Loss 1.9396 (1.8070)	Prec@1 50.781 (52.477)	Prec@5 77.344 (81.876)
Epoch: [80][150/14090]	Time 0.734 (0.788)	Data 0.001 (0.032)	Loss 1.8607 (1.8055)	Prec@1 57.031 (52.494)	Prec@5 80.469 (81.881)
Epoch: [80][160/14090]	Time 0.755 (0.785)	Data 0.001 (0.030)	Loss 1.8997 (1.8038)	Prec@1 49.219 (52.606)	Prec@5 83.594 (81.983)
Epoch: [80][170/14090]	Time 0.755 (0.783)	Data 0.001 (0.029)	Loss 1.8242 (1.8029)	Prec@1 53.906 (52.650)	Prec@5 81.250 (82.008)
Epoch: [80][180/14090]	Time 0.763 (0.781)	Data 0.002 (0.027)	Loss 1.7312 (1.7981)	Prec@1 57.031 (52.715)	Prec@5 84.375 (82.178)
Epoch: [80][190/14090]	Time 0.746 (0.780)	Data 0.001 (0.026)	Loss 2.1265 (1.7990)	Prec@1 45.312 (52.675)	Prec@5 74.219 (82.134)
Epoch: [80][200/14090]	Time 0.747 (0.778)	Data 0.001 (0.024)	Loss 2.0716 (1.7992)	Prec@1 48.438 (52.655)	Prec@5 78.125 (82.074)
Epoch: [80][210/14090]	Time 0.754 (0.777)	Data 0.001 (0.023)	Loss 1.7606 (1.7969)	Prec@1 52.344 (52.695)	Prec@5 84.375 (82.102)
Epoch: [80][220/14090]	Time 0.758 (0.775)	Data 0.001 (0.022)	Loss 1.8258 (1.7963)	Prec@1 55.469 (52.754)	Prec@5 82.812 (82.130)
Epoch: [80][230/14090]	Time 0.737 (0.775)	Data 0.001 (0.021)	Loss 1.7602 (1.7977)	Prec@1 54.688 (52.695)	Prec@5 82.812 (82.112)
Epoch: [80][240/14090]	Time 0.732 (0.774)	Data 0.001 (0.021)	Loss 1.6026 (1.7953)	Prec@1 57.031 (52.684)	Prec@5 86.719 (82.167)
Epoch: [80][250/14090]	Time 0.767 (0.773)	Data 0.002 (0.020)	Loss 1.8710 (1.7943)	Prec@1 53.906 (52.733)	Prec@5 80.469 (82.162)
Epoch: [80][260/14090]	Time 0.755 (0.772)	Data 0.001 (0.019)	Loss 1.8444 (1.7936)	Prec@1 55.469 (52.739)	Prec@5 82.812 (82.181)
Epoch: [80][270/14090]	Time 0.754 (0.771)	Data 0.001 (0.018)	Loss 1.7909 (1.7913)	Prec@1 53.906 (52.825)	Prec@5 82.031 (82.224)
Epoch: [80][280/14090]	Time 0.764 (0.771)	Data 0.001 (0.018)	Loss 1.7777 (1.7918)	Prec@1 54.688 (52.805)	Prec@5 84.375 (82.248)
Epoch: [80][290/14090]	Time 0.731 (0.770)	Data 0.001 (0.017)	Loss 1.9549 (1.7959)	Prec@1 41.406 (52.736)	Prec@5 81.250 (82.198)
Epoch: [80][300/14090]	Time 0.752 (0.769)	Data 0.001 (0.017)	Loss 1.5944 (1.7969)	Prec@1 56.250 (52.741)	Prec@5 85.156 (82.179)
Epoch: [80][310/14090]	Time 0.743 (0.769)	Data 0.001 (0.016)	Loss 1.7647 (1.7952)	Prec@1 52.344 (52.793)	Prec@5 78.906 (82.172)
Epoch: [80][320/14090]	Time 0.737 (0.768)	Data 0.002 (0.016)	Loss 1.7814 (1.7937)	Prec@1 54.688 (52.813)	Prec@5 84.375 (82.221)
Epoch: [80][330/14090]	Time 0.746 (0.768)	Data 0.001 (0.015)	Loss 1.5837 (1.7931)	Prec@1 60.156 (52.889)	Prec@5 86.719 (82.222)
Epoch: [80][340/14090]	Time 0.728 (0.767)	Data 0.001 (0.015)	Loss 2.1398 (1.7926)	Prec@1 45.312 (52.875)	Prec@5 72.656 (82.203)
Epoch: [80][350/14090]	Time 0.784 (0.767)	Data 0.001 (0.014)	Loss 1.7566 (1.7930)	Prec@1 53.125 (52.918)	Prec@5 85.938 (82.203)
Epoch: [80][360/14090]	Time 0.779 (0.767)	Data 0.001 (0.014)	Loss 1.7128 (1.7913)	Prec@1 52.344 (53.017)	Prec@5 85.156 (82.213)
Epoch: [80][370/14090]	Time 0.736 (0.766)	Data 0.001 (0.014)	Loss 1.9091 (1.7924)	Prec@1 53.125 (53.001)	Prec@5 78.125 (82.196)
Epoch: [80][380/14090]	Time 0.724 (0.766)	Data 0.001 (0.013)	Loss 1.4605 (1.7929)	Prec@1 59.375 (52.924)	Prec@5 87.500 (82.189)
Epoch: [80][390/14090]	Time 0.738 (0.766)	Data 0.002 (0.013)	Loss 1.7725 (1.7940)	Prec@1 50.000 (52.885)	Prec@5 83.594 (82.185)
Epoch: [80][400/14090]	Time 0.751 (0.765)	Data 0.001 (0.013)	Loss 1.6755 (1.7931)	Prec@1 57.031 (52.893)	Prec@5 82.031 (82.220)
Epoch: [80][410/14090]	Time 0.727 (0.765)	Data 0.001 (0.012)	Loss 2.0063 (1.7934)	Prec@1 46.875 (52.849)	Prec@5 75.781 (82.216)
Epoch: [80][420/14090]	Time 0.750 (0.765)	Data 0.001 (0.012)	Loss 1.7974 (1.7931)	Prec@1 51.562 (52.852)	Prec@5 82.031 (82.224)
Epoch: [80][430/14090]	Time 0.773 (0.764)	Data 0.001 (0.012)	Loss 1.9885 (1.7943)	Prec@1 50.000 (52.806)	Prec@5 79.688 (82.203)
Epoch: [80][440/14090]	Time 0.749 (0.764)	Data 0.001 (0.012)	Loss 1.8793 (1.7949)	Prec@1 48.438 (52.790)	Prec@5 76.562 (82.194)
Epoch: [80][450/14090]	Time 0.754 (0.764)	Data 0.001 (0.011)	Loss 2.1037 (1.7944)	Prec@1 48.438 (52.796)	Prec@5 74.219 (82.196)
Epoch: [80][460/14090]	Time 0.754 (0.763)	Data 0.002 (0.011)	Loss 1.8242 (1.7931)	Prec@1 50.781 (52.840)	Prec@5 80.469 (82.231)
Epoch: [80][470/14090]	Time 0.764 (0.763)	Data 0.001 (0.011)	Loss 1.8239 (1.7932)	Prec@1 54.688 (52.876)	Prec@5 78.906 (82.230)
Epoch: [80][480/14090]	Time 0.760 (0.763)	Data 0.001 (0.011)	Loss 1.4630 (1.7924)	Prec@1 57.812 (52.932)	Prec@5 87.500 (82.228)
Epoch: [80][490/14090]	Time 0.755 (0.763)	Data 0.001 (0.011)	Loss 2.0694 (1.7926)	Prec@1 48.438 (52.907)	Prec@5 76.562 (82.230)
Epoch: [80][500/14090]	Time 0.757 (0.762)	Data 0.001 (0.010)	Loss 1.7898 (1.7943)	Prec@1 56.250 (52.879)	Prec@5 83.594 (82.209)
Epoch: [80][510/14090]	Time 0.759 (0.762)	Data 0.001 (0.010)	Loss 1.9108 (1.7956)	Prec@1 52.344 (52.853)	Prec@5 77.344 (82.180)
Epoch: [80][520/14090]	Time 0.748 (0.762)	Data 0.001 (0.010)	Loss 1.8383 (1.7976)	Prec@1 52.344 (52.837)	Prec@5 85.938 (82.166)
Epoch: [80][530/14090]	Time 0.732 (0.762)	Data 0.002 (0.010)	Loss 2.0200 (1.7981)	Prec@1 42.969 (52.807)	Prec@5 77.344 (82.153)
Epoch: [80][540/14090]	Time 0.741 (0.762)	Data 0.001 (0.010)	Loss 1.7310 (1.7987)	Prec@1 49.219 (52.784)	Prec@5 80.469 (82.144)
Epoch: [80][550/14090]	Time 0.728 (0.761)	Data 0.001 (0.009)	Loss 1.9223 (1.7981)	Prec@1 48.438 (52.797)	Prec@5 83.594 (82.173)
Epoch: [80][560/14090]	Time 0.754 (0.761)	Data 0.001 (0.009)	Loss 1.7072 (1.7991)	Prec@1 50.000 (52.771)	Prec@5 86.719 (82.182)
Epoch: [80][570/14090]	Time 0.732 (0.761)	Data 0.001 (0.009)	Loss 1.6827 (1.7980)	Prec@1 53.906 (52.797)	Prec@5 83.594 (82.197)
Epoch: [80][580/14090]	Time 0.752 (0.761)	Data 0.001 (0.009)	Loss 2.0971 (1.7980)	Prec@1 49.219 (52.817)	Prec@5 75.781 (82.195)
Epoch: [80][590/14090]	Time 0.740 (0.761)	Data 0.001 (0.009)	Loss 1.8146 (1.7979)	Prec@1 50.000 (52.830)	Prec@5 83.594 (82.218)
Epoch: [80][600/14090]	Time 0.737 (0.761)	Data 0.002 (0.009)	Loss 1.7138 (1.7970)	Prec@1 54.688 (52.874)	Prec@5 78.906 (82.195)
Epoch: [80][610/14090]	Time 0.742 (0.760)	Data 0.001 (0.009)	Loss 1.7723 (1.7950)	Prec@1 50.781 (52.911)	Prec@5 85.938 (82.228)
Epoch: [80][620/14090]	Time 0.757 (0.760)	Data 0.001 (0.009)	Loss 1.5233 (1.7937)	Prec@1 58.594 (52.933)	Prec@5 88.281 (82.264)
Epoch: [80][630/14090]	Time 0.738 (0.760)	Data 0.001 (0.008)	Loss 1.4938 (1.7920)	Prec@1 53.125 (52.936)	Prec@5 87.500 (82.295)
Epoch: [80][640/14090]	Time 0.733 (0.760)	Data 0.001 (0.008)	Loss 1.8067 (1.7929)	Prec@1 54.688 (52.939)	Prec@5 80.469 (82.277)
Epoch: [80][650/14090]	Time 0.739 (0.760)	Data 0.001 (0.008)	Loss 1.8376 (1.7948)	Prec@1 53.125 (52.890)	Prec@5 81.250 (82.240)
Epoch: [80][660/14090]	Time 0.742 (0.759)	Data 0.001 (0.008)	Loss 1.3976 (1.7932)	Prec@1 63.281 (52.929)	Prec@5 85.156 (82.262)
Epoch: [80][670/14090]	Time 0.757 (0.759)	Data 0.002 (0.008)	Loss 1.6797 (1.7935)	Prec@1 51.562 (52.904)	Prec@5 84.375 (82.243)
Epoch: [80][680/14090]	Time 0.755 (0.759)	Data 0.001 (0.008)	Loss 1.9630 (1.7933)	Prec@1 50.000 (52.927)	Prec@5 78.125 (82.242)
Epoch: [80][690/14090]	Time 0.757 (0.759)	Data 0.001 (0.008)	Loss 2.1445 (1.7952)	Prec@1 45.312 (52.888)	Prec@5 71.875 (82.209)
Epoch: [80][700/14090]	Time 0.780 (0.759)	Data 0.001 (0.008)	Loss 1.5917 (1.7939)	Prec@1 55.469 (52.902)	Prec@5 85.156 (82.235)
Epoch: [80][710/14090]	Time 0.776 (0.759)	Data 0.001 (0.008)	Loss 1.6797 (1.7955)	Prec@1 54.688 (52.839)	Prec@5 85.156 (82.221)
Epoch: [80][720/14090]	Time 0.731 (0.759)	Data 0.001 (0.007)	Loss 1.8208 (1.7953)	Prec@1 53.125 (52.857)	Prec@5 82.031 (82.217)
Epoch: [80][730/14090]	Time 0.776 (0.759)	Data 0.001 (0.007)	Loss 1.6516 (1.7948)	Prec@1 53.125 (52.872)	Prec@5 87.500 (82.238)
Epoch: [80][740/14090]	Time 0.738 (0.758)	Data 0.002 (0.007)	Loss 1.7103 (1.7938)	Prec@1 55.469 (52.878)	Prec@5 85.938 (82.254)
Epoch: [80][750/14090]	Time 0.775 (0.758)	Data 0.001 (0.007)	Loss 1.9171 (1.7946)	Prec@1 48.438 (52.861)	Prec@5 82.031 (82.251)
Epoch: [80][760/14090]	Time 0.740 (0.758)	Data 0.001 (0.007)	Loss 1.6524 (1.7946)	Prec@1 58.594 (52.862)	Prec@5 84.375 (82.252)
Epoch: [80][770/14090]	Time 0.757 (0.758)	Data 0.001 (0.007)	Loss 1.6485 (1.7941)	Prec@1 55.469 (52.871)	Prec@5 84.375 (82.241)
Epoch: [80][780/14090]	Time 0.749 (0.758)	Data 0.001 (0.007)	Loss 1.8994 (1.7948)	Prec@1 49.219 (52.848)	Prec@5 82.812 (82.233)
Epoch: [80][790/14090]	Time 0.736 (0.758)	Data 0.001 (0.007)	Loss 1.4785 (1.7949)	Prec@1 60.156 (52.846)	Prec@5 87.500 (82.238)
Epoch: [80][800/14090]	Time 0.776 (0.758)	Data 0.001 (0.007)	Loss 1.9193 (1.7962)	Prec@1 53.125 (52.824)	Prec@5 78.906 (82.209)
Epoch: [80][810/14090]	Time 0.743 (0.758)	Data 0.002 (0.007)	Loss 1.8694 (1.7960)	Prec@1 50.000 (52.821)	Prec@5 82.031 (82.202)
Epoch: [80][820/14090]	Time 0.752 (0.758)	Data 0.001 (0.007)	Loss 1.9196 (1.7960)	Prec@1 52.344 (52.832)	Prec@5 80.469 (82.203)
Epoch: [80][830/14090]	Time 0.728 (0.757)	Data 0.001 (0.007)	Loss 1.7764 (1.7954)	Prec@1 56.250 (52.842)	Prec@5 82.812 (82.216)
Epoch: [80][840/14090]	Time 0.755 (0.757)	Data 0.001 (0.007)	Loss 1.6967 (1.7956)	Prec@1 52.344 (52.846)	Prec@5 85.938 (82.205)
Epoch: [80][850/14090]	Time 0.737 (0.757)	Data 0.001 (0.006)	Loss 1.7930 (1.7957)	Prec@1 52.344 (52.838)	Prec@5 80.469 (82.189)
Epoch: [80][860/14090]	Time 0.738 (0.757)	Data 0.001 (0.006)	Loss 1.6804 (1.7954)	Prec@1 47.656 (52.856)	Prec@5 83.594 (82.197)
Epoch: [80][870/14090]	Time 0.746 (0.757)	Data 0.001 (0.006)	Loss 1.7158 (1.7964)	Prec@1 50.000 (52.823)	Prec@5 83.594 (82.181)
Epoch: [80][880/14090]	Time 0.767 (0.757)	Data 0.002 (0.006)	Loss 1.7684 (1.7963)	Prec@1 53.906 (52.823)	Prec@5 80.469 (82.180)
Epoch: [80][890/14090]	Time 0.750 (0.757)	Data 0.001 (0.006)	Loss 1.7544 (1.7961)	Prec@1 56.250 (52.815)	Prec@5 82.031 (82.200)
Epoch: [80][900/14090]	Time 0.732 (0.757)	Data 0.001 (0.006)	Loss 1.6973 (1.7958)	Prec@1 60.156 (52.835)	Prec@5 82.031 (82.190)
Epoch: [80][910/14090]	Time 0.737 (0.757)	Data 0.001 (0.006)	Loss 1.8350 (1.7954)	Prec@1 53.906 (52.849)	Prec@5 80.469 (82.189)
Epoch: [80][920/14090]	Time 0.751 (0.757)	Data 0.001 (0.006)	Loss 1.7335 (1.7952)	Prec@1 50.781 (52.825)	Prec@5 85.156 (82.203)
Epoch: [80][930/14090]	Time 0.741 (0.757)	Data 0.001 (0.006)	Loss 1.5643 (1.7945)	Prec@1 61.719 (52.857)	Prec@5 85.156 (82.207)
Epoch: [80][940/14090]	Time 0.774 (0.757)	Data 0.001 (0.006)	Loss 1.6732 (1.7942)	Prec@1 52.344 (52.858)	Prec@5 86.719 (82.238)
Epoch: [80][950/14090]	Time 0.736 (0.757)	Data 0.002 (0.006)	Loss 1.5063 (1.7935)	Prec@1 57.031 (52.876)	Prec@5 84.375 (82.243)
Epoch: [80][960/14090]	Time 0.755 (0.756)	Data 0.001 (0.006)	Loss 1.7569 (1.7938)	Prec@1 52.344 (52.860)	Prec@5 78.906 (82.230)
Epoch: [80][970/14090]	Time 0.741 (0.756)	Data 0.001 (0.006)	Loss 1.6378 (1.7939)	Prec@1 54.688 (52.842)	Prec@5 88.281 (82.234)
Epoch: [80][980/14090]	Time 0.763 (0.756)	Data 0.001 (0.006)	Loss 1.8577 (1.7944)	Prec@1 56.250 (52.840)	Prec@5 82.031 (82.223)
Epoch: [80][990/14090]	Time 0.745 (0.756)	Data 0.001 (0.006)	Loss 1.4940 (1.7935)	Prec@1 60.156 (52.872)	Prec@5 87.500 (82.230)
Epoch: [80][1000/14090]	Time 0.739 (0.756)	Data 0.001 (0.006)	Loss 1.7441 (1.7935)	Prec@1 55.469 (52.876)	Prec@5 81.250 (82.231)
Epoch: [80][1010/14090]	Time 0.727 (0.756)	Data 0.001 (0.006)	Loss 1.6100 (1.7933)	Prec@1 53.125 (52.879)	Prec@5 85.156 (82.238)
Epoch: [80][1020/14090]	Time 0.741 (0.756)	Data 0.002 (0.006)	Loss 2.0445 (1.7930)	Prec@1 48.438 (52.882)	Prec@5 78.125 (82.249)
Epoch: [80][1030/14090]	Time 0.735 (0.756)	Data 0.001 (0.005)	Loss 1.5289 (1.7926)	Prec@1 57.812 (52.884)	Prec@5 86.719 (82.254)
Epoch: [80][1040/14090]	Time 0.756 (0.756)	Data 0.001 (0.005)	Loss 1.8048 (1.7926)	Prec@1 53.906 (52.889)	Prec@5 80.469 (82.243)
Epoch: [80][1050/14090]	Time 0.749 (0.756)	Data 0.001 (0.005)	Loss 1.6024 (1.7925)	Prec@1 57.812 (52.891)	Prec@5 85.156 (82.236)
Epoch: [80][1060/14090]	Time 0.735 (0.756)	Data 0.001 (0.005)	Loss 1.7672 (1.7926)	Prec@1 51.562 (52.871)	Prec@5 85.938 (82.231)
Epoch: [80][1070/14090]	Time 0.747 (0.756)	Data 0.001 (0.005)	Loss 1.9269 (1.7932)	Prec@1 52.344 (52.862)	Prec@5 78.125 (82.211)
Epoch: [80][1080/14090]	Time 0.750 (0.756)	Data 0.001 (0.005)	Loss 1.8956 (1.7935)	Prec@1 47.656 (52.855)	Prec@5 80.469 (82.194)
Epoch: [80][1090/14090]	Time 0.751 (0.756)	Data 0.002 (0.005)	Loss 1.8550 (1.7938)	Prec@1 49.219 (52.864)	Prec@5 86.719 (82.188)
Epoch: [80][1100/14090]	Time 0.748 (0.756)	Data 0.001 (0.005)	Loss 2.0519 (1.7939)	Prec@1 43.750 (52.845)	Prec@5 78.125 (82.197)
Epoch: [80][1110/14090]	Time 0.774 (0.756)	Data 0.001 (0.005)	Loss 2.1251 (1.7935)	Prec@1 44.531 (52.863)	Prec@5 75.781 (82.210)
Epoch: [80][1120/14090]	Time 0.735 (0.755)	Data 0.001 (0.005)	Loss 1.8213 (1.7931)	Prec@1 50.000 (52.866)	Prec@5 82.031 (82.219)
Epoch: [80][1130/14090]	Time 0.742 (0.755)	Data 0.001 (0.005)	Loss 2.0245 (1.7935)	Prec@1 51.562 (52.858)	Prec@5 76.562 (82.223)
Epoch: [80][1140/14090]	Time 0.770 (0.755)	Data 0.001 (0.005)	Loss 1.7065 (1.7933)	Prec@1 56.250 (52.861)	Prec@5 84.375 (82.227)
Epoch: [80][1150/14090]	Time 0.776 (0.755)	Data 0.001 (0.005)	Loss 1.7648 (1.7931)	Prec@1 50.000 (52.864)	Prec@5 85.156 (82.227)
Epoch: [80][1160/14090]	Time 0.737 (0.755)	Data 0.002 (0.005)	Loss 1.8060 (1.7931)	Prec@1 57.031 (52.880)	Prec@5 77.344 (82.220)
Epoch: [80][1170/14090]	Time 0.757 (0.755)	Data 0.001 (0.005)	Loss 2.0783 (1.7930)	Prec@1 53.906 (52.889)	Prec@5 79.688 (82.233)
Epoch: [80][1180/14090]	Time 0.738 (0.755)	Data 0.001 (0.005)	Loss 1.7962 (1.7930)	Prec@1 53.125 (52.888)	Prec@5 78.125 (82.226)
Epoch: [80][1190/14090]	Time 0.735 (0.755)	Data 0.001 (0.005)	Loss 1.6986 (1.7933)	Prec@1 53.125 (52.864)	Prec@5 82.812 (82.221)
Epoch: [80][1200/14090]	Time 0.734 (0.755)	Data 0.001 (0.005)	Loss 1.9958 (1.7938)	Prec@1 50.781 (52.858)	Prec@5 78.125 (82.206)
Epoch: [80][1210/14090]	Time 0.755 (0.755)	Data 0.001 (0.005)	Loss 1.7158 (1.7935)	Prec@1 53.906 (52.864)	Prec@5 89.062 (82.206)
Epoch: [80][1220/14090]	Time 0.754 (0.755)	Data 0.001 (0.005)	Loss 1.7633 (1.7930)	Prec@1 53.906 (52.875)	Prec@5 85.938 (82.223)
Epoch: [80][1230/14090]	Time 0.759 (0.755)	Data 0.002 (0.005)	Loss 1.8027 (1.7933)	Prec@1 56.250 (52.877)	Prec@5 78.906 (82.221)
Epoch: [80][1240/14090]	Time 0.733 (0.755)	Data 0.001 (0.005)	Loss 1.8680 (1.7926)	Prec@1 40.625 (52.890)	Prec@5 83.594 (82.229)
Epoch: [80][1250/14090]	Time 0.725 (0.755)	Data 0.001 (0.005)	Loss 1.5420 (1.7920)	Prec@1 57.812 (52.907)	Prec@5 85.938 (82.238)
Epoch: [80][1260/14090]	Time 0.772 (0.755)	Data 0.002 (0.005)	Loss 1.9561 (1.7924)	Prec@1 48.438 (52.896)	Prec@5 78.125 (82.233)
Epoch: [80][1270/14090]	Time 0.775 (0.755)	Data 0.001 (0.005)	Loss 1.4206 (1.7924)	Prec@1 60.156 (52.888)	Prec@5 90.625 (82.239)
Epoch: [80][1280/14090]	Time 0.739 (0.755)	Data 0.001 (0.005)	Loss 1.9099 (1.7924)	Prec@1 45.312 (52.875)	Prec@5 80.469 (82.239)
Epoch: [80][1290/14090]	Time 0.771 (0.755)	Data 0.001 (0.005)	Loss 1.8305 (1.7927)	Prec@1 49.219 (52.867)	Prec@5 82.812 (82.235)
Epoch: [80][1300/14090]	Time 0.778 (0.755)	Data 0.003 (0.005)	Loss 1.8477 (1.7927)	Prec@1 50.781 (52.866)	Prec@5 82.031 (82.235)
Epoch: [80][1310/14090]	Time 0.732 (0.755)	Data 0.001 (0.005)	Loss 1.7349 (1.7924)	Prec@1 53.906 (52.869)	Prec@5 84.375 (82.234)
Epoch: [80][1320/14090]	Time 0.756 (0.755)	Data 0.001 (0.004)	Loss 1.6921 (1.7921)	Prec@1 62.500 (52.883)	Prec@5 80.469 (82.239)
Epoch: [80][1330/14090]	Time 0.783 (0.755)	Data 0.001 (0.004)	Loss 1.8538 (1.7920)	Prec@1 53.906 (52.897)	Prec@5 81.250 (82.243)
Epoch: [80][1340/14090]	Time 0.747 (0.755)	Data 0.001 (0.004)	Loss 2.2152 (1.7920)	Prec@1 51.562 (52.888)	Prec@5 75.000 (82.247)
Epoch: [80][1350/14090]	Time 0.757 (0.755)	Data 0.001 (0.004)	Loss 1.9308 (1.7924)	Prec@1 46.875 (52.882)	Prec@5 79.688 (82.249)
Epoch: [80][1360/14090]	Time 0.733 (0.755)	Data 0.001 (0.004)	Loss 1.6504 (1.7926)	Prec@1 57.031 (52.872)	Prec@5 85.938 (82.254)
Epoch: [80][1370/14090]	Time 0.728 (0.755)	Data 0.002 (0.004)	Loss 2.0927 (1.7928)	Prec@1 47.656 (52.862)	Prec@5 75.781 (82.248)
Epoch: [80][1380/14090]	Time 0.770 (0.755)	Data 0.001 (0.004)	Loss 1.7721 (1.7931)	Prec@1 54.688 (52.858)	Prec@5 83.594 (82.233)
Epoch: [80][1390/14090]	Time 0.749 (0.755)	Data 0.001 (0.004)	Loss 1.7956 (1.7930)	Prec@1 51.562 (52.848)	Prec@5 82.812 (82.240)
Epoch: [80][1400/14090]	Time 0.748 (0.755)	Data 0.001 (0.004)	Loss 1.8470 (1.7932)	Prec@1 50.781 (52.856)	Prec@5 82.031 (82.238)
Epoch: [80][1410/14090]	Time 0.760 (0.755)	Data 0.001 (0.004)	Loss 1.5447 (1.7932)	Prec@1 58.594 (52.849)	Prec@5 88.281 (82.242)
Epoch: [80][1420/14090]	Time 0.779 (0.755)	Data 0.001 (0.004)	Loss 1.7660 (1.7938)	Prec@1 48.438 (52.837)	Prec@5 84.375 (82.232)
Epoch: [80][1430/14090]	Time 0.739 (0.755)	Data 0.001 (0.004)	Loss 1.6857 (1.7939)	Prec@1 56.250 (52.835)	Prec@5 79.688 (82.228)
Epoch: [80][1440/14090]	Time 0.735 (0.755)	Data 0.002 (0.004)	Loss 1.7610 (1.7935)	Prec@1 53.125 (52.852)	Prec@5 81.250 (82.223)
Epoch: [80][1450/14090]	Time 0.756 (0.755)	Data 0.001 (0.004)	Loss 1.8638 (1.7936)	Prec@1 53.906 (52.848)	Prec@5 78.906 (82.225)
Epoch: [80][1460/14090]	Time 0.760 (0.755)	Data 0.001 (0.004)	Loss 1.8143 (1.7933)	Prec@1 51.562 (52.845)	Prec@5 80.469 (82.233)
Epoch: [80][1470/14090]	Time 0.738 (0.754)	Data 0.001 (0.004)	Loss 1.7001 (1.7934)	Prec@1 57.031 (52.853)	Prec@5 84.375 (82.231)
Epoch: [80][1480/14090]	Time 0.742 (0.754)	Data 0.001 (0.004)	Loss 1.9372 (1.7935)	Prec@1 50.781 (52.853)	Prec@5 80.469 (82.226)
Epoch: [80][1490/14090]	Time 0.756 (0.754)	Data 0.004 (0.004)	Loss 1.9211 (1.7938)	Prec@1 55.469 (52.854)	Prec@5 78.125 (82.215)
Epoch: [80][1500/14090]	Time 0.746 (0.754)	Data 0.001 (0.004)	Loss 2.1014 (1.7939)	Prec@1 42.188 (52.851)	Prec@5 75.781 (82.209)
Epoch: [80][1510/14090]	Time 0.728 (0.754)	Data 0.002 (0.004)	Loss 1.7799 (1.7940)	Prec@1 53.906 (52.859)	Prec@5 82.812 (82.212)
Epoch: [80][1520/14090]	Time 0.737 (0.754)	Data 0.001 (0.004)	Loss 2.0319 (1.7944)	Prec@1 47.656 (52.860)	Prec@5 78.125 (82.204)
Epoch: [80][1530/14090]	Time 0.743 (0.754)	Data 0.001 (0.004)	Loss 1.8940 (1.7953)	Prec@1 51.562 (52.835)	Prec@5 81.250 (82.189)
Epoch: [80][1540/14090]	Time 0.752 (0.754)	Data 0.001 (0.004)	Loss 1.7441 (1.7955)	Prec@1 53.125 (52.837)	Prec@5 79.688 (82.186)
Epoch: [80][1550/14090]	Time 0.742 (0.754)	Data 0.001 (0.004)	Loss 1.9704 (1.7950)	Prec@1 53.125 (52.846)	Prec@5 77.344 (82.191)
Epoch: [80][1560/14090]	Time 0.759 (0.754)	Data 0.001 (0.004)	Loss 1.6570 (1.7951)	Prec@1 57.812 (52.850)	Prec@5 83.594 (82.188)
Epoch: [80][1570/14090]	Time 0.733 (0.754)	Data 0.001 (0.004)	Loss 1.8884 (1.7948)	Prec@1 50.000 (52.848)	Prec@5 84.375 (82.195)
Epoch: [80][1580/14090]	Time 0.737 (0.754)	Data 0.002 (0.004)	Loss 1.6141 (1.7946)	Prec@1 57.031 (52.851)	Prec@5 85.156 (82.199)
Epoch: [80][1590/14090]	Time 0.744 (0.754)	Data 0.001 (0.004)	Loss 1.8912 (1.7944)	Prec@1 52.344 (52.858)	Prec@5 81.250 (82.204)
Epoch: [80][1600/14090]	Time 0.769 (0.754)	Data 0.001 (0.004)	Loss 1.8169 (1.7948)	Prec@1 50.000 (52.838)	Prec@5 81.250 (82.194)
Epoch: [80][1610/14090]	Time 0.743 (0.754)	Data 0.001 (0.004)	Loss 1.7593 (1.7950)	Prec@1 52.344 (52.834)	Prec@5 85.156 (82.194)
Epoch: [80][1620/14090]	Time 0.729 (0.754)	Data 0.001 (0.004)	Loss 1.7000 (1.7947)	Prec@1 54.688 (52.833)	Prec@5 82.031 (82.200)
Epoch: [80][1630/14090]	Time 0.740 (0.754)	Data 0.001 (0.004)	Loss 2.0002 (1.7947)	Prec@1 50.000 (52.830)	Prec@5 78.906 (82.201)
Epoch: [80][1640/14090]	Time 0.734 (0.754)	Data 0.001 (0.004)	Loss 1.7467 (1.7949)	Prec@1 50.781 (52.824)	Prec@5 82.031 (82.200)
Epoch: [80][1650/14090]	Time 0.748 (0.754)	Data 0.002 (0.004)	Loss 1.8193 (1.7951)	Prec@1 51.562 (52.815)	Prec@5 83.594 (82.197)
Epoch: [80][1660/14090]	Time 0.736 (0.754)	Data 0.001 (0.004)	Loss 1.8917 (1.7957)	Prec@1 51.562 (52.798)	Prec@5 83.594 (82.191)
Epoch: [80][1670/14090]	Time 0.773 (0.754)	Data 0.001 (0.004)	Loss 1.8390 (1.7955)	Prec@1 47.656 (52.805)	Prec@5 81.250 (82.188)
Epoch: [80][1680/14090]	Time 0.752 (0.754)	Data 0.001 (0.004)	Loss 1.8585 (1.7958)	Prec@1 50.781 (52.800)	Prec@5 80.469 (82.189)
Epoch: [80][1690/14090]	Time 0.731 (0.754)	Data 0.001 (0.004)	Loss 2.1663 (1.7956)	Prec@1 45.312 (52.809)	Prec@5 75.000 (82.192)
Epoch: [80][1700/14090]	Time 0.751 (0.754)	Data 0.001 (0.004)	Loss 1.5714 (1.7952)	Prec@1 59.375 (52.814)	Prec@5 85.156 (82.199)
Epoch: [80][1710/14090]	Time 0.755 (0.754)	Data 0.001 (0.004)	Loss 1.7738 (1.7954)	Prec@1 52.344 (52.817)	Prec@5 82.812 (82.192)
Epoch: [80][1720/14090]	Time 0.750 (0.754)	Data 0.002 (0.004)	Loss 1.8155 (1.7951)	Prec@1 53.906 (52.827)	Prec@5 80.469 (82.201)
Epoch: [80][1730/14090]	Time 0.733 (0.754)	Data 0.001 (0.004)	Loss 2.0278 (1.7952)	Prec@1 47.656 (52.826)	Prec@5 78.906 (82.197)
Epoch: [80][1740/14090]	Time 0.768 (0.754)	Data 0.001 (0.004)	Loss 1.5948 (1.7952)	Prec@1 56.250 (52.829)	Prec@5 84.375 (82.195)
Epoch: [80][1750/14090]	Time 0.731 (0.754)	Data 0.001 (0.004)	Loss 1.7831 (1.7950)	Prec@1 48.438 (52.831)	Prec@5 84.375 (82.199)
Epoch: [80][1760/14090]	Time 0.731 (0.754)	Data 0.001 (0.004)	Loss 2.1696 (1.7954)	Prec@1 46.094 (52.819)	Prec@5 75.781 (82.198)
Epoch: [80][1770/14090]	Time 0.757 (0.754)	Data 0.001 (0.004)	Loss 1.8197 (1.7950)	Prec@1 49.219 (52.824)	Prec@5 78.906 (82.202)
Epoch: [80][1780/14090]	Time 0.767 (0.754)	Data 0.001 (0.004)	Loss 1.9217 (1.7951)	Prec@1 46.875 (52.815)	Prec@5 75.000 (82.193)
Epoch: [80][1790/14090]	Time 0.738 (0.754)	Data 0.002 (0.004)	Loss 1.8985 (1.7953)	Prec@1 56.250 (52.807)	Prec@5 78.906 (82.192)
Epoch: [80][1800/14090]	Time 0.762 (0.754)	Data 0.001 (0.004)	Loss 1.5862 (1.7945)	Prec@1 57.031 (52.836)	Prec@5 83.594 (82.206)
Epoch: [80][1810/14090]	Time 0.730 (0.754)	Data 0.001 (0.004)	Loss 1.7091 (1.7947)	Prec@1 54.688 (52.826)	Prec@5 86.719 (82.199)
Epoch: [80][1820/14090]	Time 0.764 (0.754)	Data 0.001 (0.004)	Loss 1.7720 (1.7949)	Prec@1 52.344 (52.829)	Prec@5 81.250 (82.194)
Epoch: [80][1830/14090]	Time 0.758 (0.754)	Data 0.001 (0.003)	Loss 1.8237 (1.7956)	Prec@1 48.438 (52.817)	Prec@5 80.469 (82.180)
Epoch: [80][1840/14090]	Time 0.787 (0.754)	Data 0.001 (0.003)	Loss 1.7236 (1.7953)	Prec@1 53.906 (52.823)	Prec@5 84.375 (82.184)
Epoch: [80][1850/14090]	Time 0.773 (0.754)	Data 0.001 (0.003)	Loss 2.1758 (1.7955)	Prec@1 49.219 (52.822)	Prec@5 75.781 (82.182)
Epoch: [80][1860/14090]	Time 0.734 (0.754)	Data 0.002 (0.003)	Loss 1.8737 (1.7956)	Prec@1 50.781 (52.814)	Prec@5 81.250 (82.181)
Epoch: [80][1870/14090]	Time 0.760 (0.754)	Data 0.001 (0.003)	Loss 1.9989 (1.7961)	Prec@1 53.906 (52.806)	Prec@5 75.781 (82.170)
Epoch: [80][1880/14090]	Time 0.772 (0.754)	Data 0.001 (0.003)	Loss 1.6829 (1.7968)	Prec@1 56.250 (52.801)	Prec@5 83.594 (82.159)
Epoch: [80][1890/14090]	Time 0.732 (0.753)	Data 0.001 (0.003)	Loss 1.5687 (1.7968)	Prec@1 59.375 (52.796)	Prec@5 85.156 (82.159)
Epoch: [80][1900/14090]	Time 0.756 (0.753)	Data 0.001 (0.003)	Loss 1.9915 (1.7967)	Prec@1 46.094 (52.796)	Prec@5 77.344 (82.161)
Epoch: [80][1910/14090]	Time 0.736 (0.753)	Data 0.001 (0.003)	Loss 1.5030 (1.7967)	Prec@1 57.812 (52.800)	Prec@5 84.375 (82.160)
Epoch: [80][1920/14090]	Time 0.739 (0.753)	Data 0.001 (0.003)	Loss 1.9516 (1.7969)	Prec@1 47.656 (52.794)	Prec@5 81.250 (82.158)
Epoch: [80][1930/14090]	Time 0.760 (0.753)	Data 0.002 (0.003)	Loss 1.9734 (1.7970)	Prec@1 54.688 (52.794)	Prec@5 77.344 (82.159)
Epoch: [80][1940/14090]	Time 0.762 (0.753)	Data 0.001 (0.003)	Loss 2.1346 (1.7971)	Prec@1 46.875 (52.795)	Prec@5 75.781 (82.164)
Epoch: [80][1950/14090]	Time 0.757 (0.753)	Data 0.001 (0.003)	Loss 1.7046 (1.7972)	Prec@1 58.594 (52.801)	Prec@5 83.594 (82.158)
Epoch: [80][1960/14090]	Time 0.767 (0.753)	Data 0.001 (0.003)	Loss 1.9857 (1.7972)	Prec@1 46.094 (52.801)	Prec@5 81.250 (82.160)
Epoch: [80][1970/14090]	Time 0.725 (0.753)	Data 0.001 (0.003)	Loss 1.7200 (1.7972)	Prec@1 56.250 (52.802)	Prec@5 82.031 (82.164)
Epoch: [80][1980/14090]	Time 0.754 (0.753)	Data 0.001 (0.003)	Loss 1.6191 (1.7972)	Prec@1 60.938 (52.798)	Prec@5 81.250 (82.161)
Epoch: [80][1990/14090]	Time 0.756 (0.753)	Data 0.001 (0.003)	Loss 1.6120 (1.7974)	Prec@1 53.125 (52.795)	Prec@5 86.719 (82.156)
Epoch: [80][2000/14090]	Time 0.752 (0.753)	Data 0.002 (0.003)	Loss 1.8690 (1.7974)	Prec@1 47.656 (52.790)	Prec@5 86.719 (82.160)
Epoch: [80][2010/14090]	Time 0.757 (0.753)	Data 0.001 (0.003)	Loss 1.9638 (1.7976)	Prec@1 54.688 (52.792)	Prec@5 73.438 (82.154)
Epoch: [80][2020/14090]	Time 0.746 (0.753)	Data 0.001 (0.003)	Loss 1.9480 (1.7974)	Prec@1 51.562 (52.801)	Prec@5 78.125 (82.160)
Epoch: [80][2030/14090]	Time 0.754 (0.753)	Data 0.001 (0.003)	Loss 1.6845 (1.7976)	Prec@1 55.469 (52.799)	Prec@5 85.938 (82.155)
Epoch: [80][2040/14090]	Time 0.734 (0.753)	Data 0.001 (0.003)	Loss 1.6735 (1.7974)	Prec@1 57.031 (52.814)	Prec@5 83.594 (82.160)
Epoch: [80][2050/14090]	Time 0.750 (0.753)	Data 0.001 (0.003)	Loss 1.9069 (1.7971)	Prec@1 50.781 (52.823)	Prec@5 82.812 (82.168)
Epoch: [80][2060/14090]	Time 0.758 (0.753)	Data 0.001 (0.003)	Loss 1.6657 (1.7971)	Prec@1 53.125 (52.826)	Prec@5 85.156 (82.167)
Epoch: [80][2070/14090]	Time 0.745 (0.753)	Data 0.002 (0.003)	Loss 1.7371 (1.7972)	Prec@1 50.781 (52.822)	Prec@5 86.719 (82.165)
Epoch: [80][2080/14090]	Time 0.749 (0.753)	Data 0.001 (0.003)	Loss 1.6620 (1.7974)	Prec@1 54.688 (52.824)	Prec@5 85.156 (82.161)
Epoch: [80][2090/14090]	Time 0.731 (0.753)	Data 0.001 (0.003)	Loss 1.6008 (1.7971)	Prec@1 57.031 (52.837)	Prec@5 87.500 (82.162)
Epoch: [80][2100/14090]	Time 0.756 (0.753)	Data 0.001 (0.003)	Loss 1.6409 (1.7971)	Prec@1 53.125 (52.836)	Prec@5 87.500 (82.163)
Epoch: [80][2110/14090]	Time 0.734 (0.753)	Data 0.001 (0.003)	Loss 1.7784 (1.7971)	Prec@1 53.906 (52.841)	Prec@5 82.031 (82.159)
Epoch: [80][2120/14090]	Time 0.773 (0.753)	Data 0.001 (0.003)	Loss 1.8147 (1.7968)	Prec@1 50.781 (52.845)	Prec@5 82.031 (82.166)
Epoch: [80][2130/14090]	Time 0.744 (0.753)	Data 0.001 (0.003)	Loss 1.8558 (1.7967)	Prec@1 50.000 (52.848)	Prec@5 79.688 (82.172)
Epoch: [80][2140/14090]	Time 0.758 (0.753)	Data 0.002 (0.003)	Loss 1.8955 (1.7967)	Prec@1 44.531 (52.837)	Prec@5 82.812 (82.173)
Epoch: [80][2150/14090]	Time 0.759 (0.753)	Data 0.001 (0.003)	Loss 1.3936 (1.7964)	Prec@1 61.719 (52.832)	Prec@5 89.062 (82.176)
Epoch: [80][2160/14090]	Time 0.766 (0.753)	Data 0.001 (0.003)	Loss 1.6840 (1.7964)	Prec@1 53.906 (52.835)	Prec@5 85.156 (82.174)
Epoch: [80][2170/14090]	Time 0.759 (0.753)	Data 0.001 (0.003)	Loss 1.5341 (1.7962)	Prec@1 54.688 (52.835)	Prec@5 88.281 (82.175)
Epoch: [80][2180/14090]	Time 0.749 (0.753)	Data 0.001 (0.003)	Loss 1.9358 (1.7966)	Prec@1 48.438 (52.830)	Prec@5 78.906 (82.167)
Epoch: [80][2190/14090]	Time 0.765 (0.753)	Data 0.001 (0.003)	Loss 1.7506 (1.7964)	Prec@1 51.562 (52.830)	Prec@5 84.375 (82.174)
Epoch: [80][2200/14090]	Time 0.735 (0.753)	Data 0.001 (0.003)	Loss 1.7888 (1.7964)	Prec@1 55.469 (52.838)	Prec@5 81.250 (82.171)
Epoch: [80][2210/14090]	Time 0.722 (0.753)	Data 0.002 (0.003)	Loss 1.6648 (1.7964)	Prec@1 60.156 (52.829)	Prec@5 85.938 (82.172)
Epoch: [80][2220/14090]	Time 0.782 (0.753)	Data 0.002 (0.003)	Loss 1.7327 (1.7964)	Prec@1 54.688 (52.831)	Prec@5 79.688 (82.175)
Epoch: [80][2230/14090]	Time 0.735 (0.753)	Data 0.001 (0.003)	Loss 1.7992 (1.7961)	Prec@1 56.250 (52.843)	Prec@5 83.594 (82.182)
Epoch: [80][2240/14090]	Time 0.740 (0.753)	Data 0.001 (0.003)	Loss 1.9281 (1.7963)	Prec@1 49.219 (52.834)	Prec@5 76.562 (82.178)
Epoch: [80][2250/14090]	Time 0.758 (0.753)	Data 0.001 (0.003)	Loss 1.8268 (1.7965)	Prec@1 52.344 (52.831)	Prec@5 80.469 (82.172)
Epoch: [80][2260/14090]	Time 0.779 (0.753)	Data 0.001 (0.003)	Loss 1.6279 (1.7964)	Prec@1 54.688 (52.836)	Prec@5 84.375 (82.169)
Epoch: [80][2270/14090]	Time 0.780 (0.753)	Data 0.001 (0.003)	Loss 1.8573 (1.7967)	Prec@1 56.250 (52.835)	Prec@5 78.906 (82.168)
Epoch: [80][2280/14090]	Time 0.751 (0.753)	Data 0.002 (0.003)	Loss 1.7858 (1.7966)	Prec@1 57.031 (52.848)	Prec@5 80.469 (82.170)
Epoch: [80][2290/14090]	Time 0.800 (0.753)	Data 0.001 (0.003)	Loss 1.7755 (1.7967)	Prec@1 50.000 (52.850)	Prec@5 87.500 (82.169)
Epoch: [80][2300/14090]	Time 0.758 (0.753)	Data 0.001 (0.003)	Loss 1.4907 (1.7971)	Prec@1 62.500 (52.840)	Prec@5 88.281 (82.163)
Epoch: [80][2310/14090]	Time 0.730 (0.753)	Data 0.001 (0.003)	Loss 1.9245 (1.7971)	Prec@1 47.656 (52.832)	Prec@5 81.250 (82.167)
Epoch: [80][2320/14090]	Time 0.734 (0.753)	Data 0.001 (0.003)	Loss 1.5927 (1.7971)	Prec@1 57.031 (52.837)	Prec@5 85.938 (82.167)
Epoch: [80][2330/14090]	Time 0.774 (0.753)	Data 0.001 (0.003)	Loss 1.7138 (1.7970)	Prec@1 56.250 (52.840)	Prec@5 82.812 (82.170)
Epoch: [80][2340/14090]	Time 0.740 (0.753)	Data 0.001 (0.003)	Loss 1.5672 (1.7966)	Prec@1 62.500 (52.850)	Prec@5 83.594 (82.177)
Epoch: [80][2350/14090]	Time 0.738 (0.753)	Data 0.002 (0.003)	Loss 1.8332 (1.7964)	Prec@1 49.219 (52.858)	Prec@5 81.250 (82.174)
Epoch: [80][2360/14090]	Time 0.751 (0.753)	Data 0.001 (0.003)	Loss 1.7117 (1.7962)	Prec@1 56.250 (52.864)	Prec@5 82.031 (82.178)
Epoch: [80][2370/14090]	Time 0.753 (0.753)	Data 0.001 (0.003)	Loss 1.8601 (1.7961)	Prec@1 50.000 (52.856)	Prec@5 84.375 (82.182)
Epoch: [80][2380/14090]	Time 0.728 (0.753)	Data 0.001 (0.003)	Loss 1.6066 (1.7961)	Prec@1 57.812 (52.854)	Prec@5 82.812 (82.179)
Epoch: [80][2390/14090]	Time 0.739 (0.753)	Data 0.001 (0.003)	Loss 2.1896 (1.7965)	Prec@1 43.750 (52.848)	Prec@5 71.875 (82.171)
Epoch: [80][2400/14090]	Time 0.752 (0.753)	Data 0.001 (0.003)	Loss 1.4876 (1.7964)	Prec@1 63.281 (52.848)	Prec@5 87.500 (82.170)
Epoch: [80][2410/14090]	Time 0.731 (0.753)	Data 0.001 (0.003)	Loss 1.6244 (1.7965)	Prec@1 53.906 (52.840)	Prec@5 86.719 (82.173)
Epoch: [80][2420/14090]	Time 0.776 (0.753)	Data 0.002 (0.003)	Loss 1.6417 (1.7964)	Prec@1 54.688 (52.830)	Prec@5 85.938 (82.175)
Epoch: [80][2430/14090]	Time 0.754 (0.753)	Data 0.001 (0.003)	Loss 2.0060 (1.7963)	Prec@1 51.562 (52.834)	Prec@5 76.562 (82.177)
Epoch: [80][2440/14090]	Time 0.747 (0.753)	Data 0.001 (0.003)	Loss 1.8442 (1.7966)	Prec@1 52.344 (52.824)	Prec@5 78.906 (82.168)
Epoch: [80][2450/14090]	Time 0.753 (0.753)	Data 0.001 (0.003)	Loss 2.0756 (1.7964)	Prec@1 44.531 (52.820)	Prec@5 77.344 (82.168)
Epoch: [80][2460/14090]	Time 0.754 (0.753)	Data 0.001 (0.003)	Loss 1.6213 (1.7963)	Prec@1 59.375 (52.819)	Prec@5 86.719 (82.166)
Epoch: [80][2470/14090]	Time 0.757 (0.753)	Data 0.001 (0.003)	Loss 1.9380 (1.7964)	Prec@1 44.531 (52.816)	Prec@5 81.250 (82.177)
Epoch: [80][2480/14090]	Time 0.733 (0.753)	Data 0.001 (0.003)	Loss 1.5751 (1.7961)	Prec@1 56.250 (52.824)	Prec@5 88.281 (82.185)
Epoch: [80][2490/14090]	Time 0.725 (0.753)	Data 0.002 (0.003)	Loss 1.9450 (1.7961)	Prec@1 51.562 (52.830)	Prec@5 77.344 (82.184)
Epoch: [80][2500/14090]	Time 0.757 (0.753)	Data 0.001 (0.003)	Loss 1.9072 (1.7959)	Prec@1 48.438 (52.828)	Prec@5 84.375 (82.188)
Epoch: [80][2510/14090]	Time 0.748 (0.753)	Data 0.001 (0.003)	Loss 1.9096 (1.7959)	Prec@1 53.125 (52.824)	Prec@5 78.906 (82.187)
Epoch: [80][2520/14090]	Time 0.755 (0.753)	Data 0.001 (0.003)	Loss 1.4113 (1.7958)	Prec@1 63.281 (52.821)	Prec@5 89.844 (82.188)
Epoch: [80][2530/14090]	Time 0.738 (0.753)	Data 0.001 (0.003)	Loss 1.7561 (1.7960)	Prec@1 48.438 (52.816)	Prec@5 86.719 (82.180)
Epoch: [80][2540/14090]	Time 0.743 (0.753)	Data 0.001 (0.003)	Loss 1.8209 (1.7963)	Prec@1 53.125 (52.812)	Prec@5 84.375 (82.177)
Epoch: [80][2550/14090]	Time 0.722 (0.753)	Data 0.001 (0.003)	Loss 1.7561 (1.7961)	Prec@1 52.344 (52.820)	Prec@5 84.375 (82.180)
Epoch: [80][2560/14090]	Time 0.759 (0.753)	Data 0.002 (0.003)	Loss 1.8055 (1.7959)	Prec@1 57.031 (52.817)	Prec@5 81.250 (82.184)
Epoch: [80][2570/14090]	Time 0.728 (0.753)	Data 0.001 (0.003)	Loss 1.9244 (1.7961)	Prec@1 50.781 (52.814)	Prec@5 78.125 (82.182)
Epoch: [80][2580/14090]	Time 0.757 (0.753)	Data 0.001 (0.003)	Loss 1.6921 (1.7961)	Prec@1 56.250 (52.807)	Prec@5 85.938 (82.184)
Epoch: [80][2590/14090]	Time 0.748 (0.753)	Data 0.001 (0.003)	Loss 1.8725 (1.7961)	Prec@1 49.219 (52.807)	Prec@5 81.250 (82.185)
Epoch: [80][2600/14090]	Time 0.740 (0.753)	Data 0.001 (0.003)	Loss 1.8813 (1.7964)	Prec@1 53.125 (52.805)	Prec@5 83.594 (82.179)
Epoch: [80][2610/14090]	Time 0.765 (0.753)	Data 0.001 (0.003)	Loss 1.7409 (1.7963)	Prec@1 56.250 (52.806)	Prec@5 81.250 (82.179)
Epoch: [80][2620/14090]	Time 0.725 (0.753)	Data 0.001 (0.003)	Loss 1.6848 (1.7963)	Prec@1 56.250 (52.810)	Prec@5 84.375 (82.176)
Epoch: [80][2630/14090]	Time 0.743 (0.753)	Data 0.002 (0.003)	Loss 1.8833 (1.7963)	Prec@1 55.469 (52.816)	Prec@5 79.688 (82.177)
Epoch: [80][2640/14090]	Time 0.751 (0.753)	Data 0.001 (0.003)	Loss 1.7478 (1.7961)	Prec@1 57.812 (52.825)	Prec@5 81.250 (82.180)
Epoch: [80][2650/14090]	Time 0.763 (0.753)	Data 0.001 (0.003)	Loss 1.9338 (1.7963)	Prec@1 46.875 (52.821)	Prec@5 79.688 (82.176)
Epoch: [80][2660/14090]	Time 0.749 (0.753)	Data 0.001 (0.003)	Loss 1.9802 (1.7962)	Prec@1 48.438 (52.823)	Prec@5 80.469 (82.178)
Epoch: [80][2670/14090]	Time 0.733 (0.753)	Data 0.001 (0.003)	Loss 1.9825 (1.7960)	Prec@1 52.344 (52.828)	Prec@5 76.562 (82.181)
Epoch: [80][2680/14090]	Time 0.736 (0.753)	Data 0.001 (0.003)	Loss 1.9618 (1.7960)	Prec@1 50.000 (52.833)	Prec@5 78.125 (82.182)
Epoch: [80][2690/14090]	Time 0.766 (0.753)	Data 0.001 (0.003)	Loss 1.7456 (1.7958)	Prec@1 55.469 (52.838)	Prec@5 78.125 (82.185)
Epoch: [80][2700/14090]	Time 0.765 (0.753)	Data 0.002 (0.003)	Loss 1.6901 (1.7957)	Prec@1 52.344 (52.841)	Prec@5 82.812 (82.184)
Epoch: [80][2710/14090]	Time 0.764 (0.753)	Data 0.001 (0.003)	Loss 1.7742 (1.7956)	Prec@1 50.781 (52.843)	Prec@5 79.688 (82.186)
Epoch: [80][2720/14090]	Time 0.777 (0.753)	Data 0.001 (0.003)	Loss 1.7671 (1.7953)	Prec@1 53.125 (52.846)	Prec@5 85.156 (82.192)
Epoch: [80][2730/14090]	Time 0.764 (0.753)	Data 0.001 (0.003)	Loss 1.7908 (1.7952)	Prec@1 53.906 (52.851)	Prec@5 81.250 (82.190)
Epoch: [80][2740/14090]	Time 0.740 (0.753)	Data 0.001 (0.003)	Loss 2.2454 (1.7955)	Prec@1 40.625 (52.850)	Prec@5 75.000 (82.184)
Epoch: [80][2750/14090]	Time 0.734 (0.753)	Data 0.001 (0.003)	Loss 1.8414 (1.7958)	Prec@1 51.562 (52.843)	Prec@5 82.812 (82.183)
Epoch: [80][2760/14090]	Time 0.773 (0.753)	Data 0.001 (0.003)	Loss 1.8015 (1.7957)	Prec@1 53.906 (52.838)	Prec@5 79.688 (82.186)
Epoch: [80][2770/14090]	Time 0.748 (0.753)	Data 0.002 (0.003)	Loss 1.7568 (1.7959)	Prec@1 57.812 (52.835)	Prec@5 84.375 (82.178)
Epoch: [80][2780/14090]	Time 0.732 (0.753)	Data 0.001 (0.003)	Loss 2.0029 (1.7959)	Prec@1 43.750 (52.831)	Prec@5 77.344 (82.178)
Epoch: [80][2790/14090]	Time 0.750 (0.753)	Data 0.001 (0.003)	Loss 1.8987 (1.7956)	Prec@1 49.219 (52.840)	Prec@5 79.688 (82.180)
Epoch: [80][2800/14090]	Time 0.772 (0.753)	Data 0.001 (0.003)	Loss 1.8134 (1.7959)	Prec@1 57.031 (52.838)	Prec@5 84.375 (82.173)
Epoch: [80][2810/14090]	Time 0.756 (0.753)	Data 0.001 (0.003)	Loss 1.7036 (1.7958)	Prec@1 62.500 (52.844)	Prec@5 85.938 (82.177)
Epoch: [80][2820/14090]	Time 0.749 (0.752)	Data 0.001 (0.003)	Loss 1.9223 (1.7959)	Prec@1 49.219 (52.844)	Prec@5 82.812 (82.174)
Epoch: [80][2830/14090]	Time 0.777 (0.753)	Data 0.001 (0.003)	Loss 1.9580 (1.7959)	Prec@1 51.562 (52.843)	Prec@5 75.000 (82.174)
Epoch: [80][2840/14090]	Time 0.770 (0.753)	Data 0.002 (0.003)	Loss 1.6106 (1.7958)	Prec@1 55.469 (52.845)	Prec@5 87.500 (82.176)
Epoch: [80][2850/14090]	Time 0.745 (0.753)	Data 0.001 (0.003)	Loss 1.8068 (1.7961)	Prec@1 54.688 (52.845)	Prec@5 82.031 (82.169)
Epoch: [80][2860/14090]	Time 0.757 (0.752)	Data 0.001 (0.003)	Loss 1.4448 (1.7956)	Prec@1 60.156 (52.854)	Prec@5 87.500 (82.177)
Epoch: [80][2870/14090]	Time 0.749 (0.752)	Data 0.001 (0.003)	Loss 1.7086 (1.7956)	Prec@1 54.688 (52.854)	Prec@5 87.500 (82.181)
Epoch: [80][2880/14090]	Time 0.742 (0.752)	Data 0.001 (0.003)	Loss 1.6045 (1.7955)	Prec@1 57.031 (52.851)	Prec@5 83.594 (82.185)
Epoch: [80][2890/14090]	Time 0.732 (0.752)	Data 0.001 (0.003)	Loss 1.6183 (1.7955)	Prec@1 53.906 (52.850)	Prec@5 85.938 (82.189)
Epoch: [80][2900/14090]	Time 0.752 (0.752)	Data 0.001 (0.003)	Loss 1.3440 (1.7953)	Prec@1 62.500 (52.851)	Prec@5 92.188 (82.196)
Epoch: [80][2910/14090]	Time 0.738 (0.752)	Data 0.002 (0.003)	Loss 1.7850 (1.7952)	Prec@1 46.875 (52.850)	Prec@5 82.812 (82.198)
Epoch: [80][2920/14090]	Time 0.750 (0.752)	Data 0.001 (0.003)	Loss 1.9498 (1.7957)	Prec@1 52.344 (52.843)	Prec@5 75.781 (82.190)
Epoch: [80][2930/14090]	Time 0.765 (0.752)	Data 0.001 (0.003)	Loss 1.6071 (1.7955)	Prec@1 57.031 (52.842)	Prec@5 85.938 (82.194)
Epoch: [80][2940/14090]	Time 0.751 (0.752)	Data 0.001 (0.003)	Loss 1.7080 (1.7953)	Prec@1 53.125 (52.841)	Prec@5 80.469 (82.195)
Epoch: [80][2950/14090]	Time 0.744 (0.752)	Data 0.001 (0.003)	Loss 1.9686 (1.7952)	Prec@1 46.875 (52.840)	Prec@5 81.250 (82.200)
Epoch: [80][2960/14090]	Time 0.738 (0.752)	Data 0.001 (0.002)	Loss 1.8568 (1.7953)	Prec@1 51.562 (52.837)	Prec@5 78.906 (82.198)
Epoch: [80][2970/14090]	Time 0.777 (0.752)	Data 0.001 (0.002)	Loss 1.7322 (1.7955)	Prec@1 50.781 (52.833)	Prec@5 84.375 (82.192)
Epoch: [80][2980/14090]	Time 0.757 (0.752)	Data 0.002 (0.002)	Loss 1.8376 (1.7955)	Prec@1 50.781 (52.826)	Prec@5 78.125 (82.187)
Epoch: [80][2990/14090]	Time 0.759 (0.752)	Data 0.001 (0.002)	Loss 1.6403 (1.7957)	Prec@1 53.125 (52.823)	Prec@5 85.938 (82.183)
Epoch: [80][3000/14090]	Time 0.747 (0.752)	Data 0.001 (0.002)	Loss 1.8409 (1.7957)	Prec@1 56.250 (52.825)	Prec@5 78.906 (82.187)
Epoch: [80][3010/14090]	Time 0.756 (0.752)	Data 0.001 (0.002)	Loss 1.9537 (1.7957)	Prec@1 47.656 (52.821)	Prec@5 75.781 (82.185)
Epoch: [80][3020/14090]	Time 0.750 (0.752)	Data 0.001 (0.002)	Loss 1.8173 (1.7956)	Prec@1 55.469 (52.825)	Prec@5 78.125 (82.186)
Epoch: [80][3030/14090]	Time 0.728 (0.752)	Data 0.001 (0.002)	Loss 1.8067 (1.7957)	Prec@1 58.594 (52.824)	Prec@5 85.156 (82.184)
Epoch: [80][3040/14090]	Time 0.737 (0.752)	Data 0.001 (0.002)	Loss 1.8953 (1.7957)	Prec@1 53.906 (52.820)	Prec@5 78.125 (82.184)
Epoch: [80][3050/14090]	Time 0.749 (0.752)	Data 0.002 (0.002)	Loss 1.7504 (1.7958)	Prec@1 53.906 (52.819)	Prec@5 82.031 (82.181)
Epoch: [80][3060/14090]	Time 0.754 (0.752)	Data 0.001 (0.002)	Loss 1.8059 (1.7959)	Prec@1 53.906 (52.817)	Prec@5 82.031 (82.176)
Epoch: [80][3070/14090]	Time 0.752 (0.752)	Data 0.001 (0.002)	Loss 1.6171 (1.7958)	Prec@1 54.688 (52.824)	Prec@5 86.719 (82.174)
Epoch: [80][3080/14090]	Time 0.746 (0.752)	Data 0.001 (0.002)	Loss 1.7721 (1.7960)	Prec@1 52.344 (52.820)	Prec@5 80.469 (82.168)
Epoch: [80][3090/14090]	Time 0.770 (0.752)	Data 0.001 (0.002)	Loss 1.6389 (1.7960)	Prec@1 56.250 (52.820)	Prec@5 82.812 (82.167)
Epoch: [80][3100/14090]	Time 0.741 (0.752)	Data 0.001 (0.002)	Loss 1.9032 (1.7958)	Prec@1 53.906 (52.823)	Prec@5 78.125 (82.167)
Epoch: [80][3110/14090]	Time 0.757 (0.752)	Data 0.001 (0.002)	Loss 1.8593 (1.7957)	Prec@1 55.469 (52.834)	Prec@5 80.469 (82.166)
Epoch: [80][3120/14090]	Time 0.754 (0.752)	Data 0.002 (0.002)	Loss 1.8690 (1.7956)	Prec@1 50.781 (52.837)	Prec@5 81.250 (82.165)
Epoch: [80][3130/14090]	Time 0.753 (0.752)	Data 0.001 (0.002)	Loss 2.0002 (1.7959)	Prec@1 48.438 (52.828)	Prec@5 77.344 (82.158)
Epoch: [80][3140/14090]	Time 0.750 (0.752)	Data 0.001 (0.002)	Loss 1.8605 (1.7958)	Prec@1 55.469 (52.832)	Prec@5 81.250 (82.157)
Epoch: [80][3150/14090]	Time 0.736 (0.752)	Data 0.001 (0.002)	Loss 1.9968 (1.7958)	Prec@1 44.531 (52.825)	Prec@5 81.250 (82.157)
Epoch: [80][3160/14090]	Time 0.769 (0.752)	Data 0.001 (0.002)	Loss 1.9077 (1.7956)	Prec@1 51.562 (52.835)	Prec@5 77.344 (82.161)
Epoch: [80][3170/14090]	Time 0.756 (0.752)	Data 0.001 (0.002)	Loss 2.0346 (1.7956)	Prec@1 51.562 (52.838)	Prec@5 78.125 (82.161)
Epoch: [80][3180/14090]	Time 0.728 (0.752)	Data 0.001 (0.002)	Loss 1.6307 (1.7954)	Prec@1 60.156 (52.846)	Prec@5 85.156 (82.165)
Epoch: [80][3190/14090]	Time 0.752 (0.752)	Data 0.002 (0.002)	Loss 1.8089 (1.7955)	Prec@1 55.469 (52.843)	Prec@5 82.031 (82.164)
Epoch: [80][3200/14090]	Time 0.763 (0.752)	Data 0.001 (0.002)	Loss 1.8150 (1.7957)	Prec@1 47.656 (52.842)	Prec@5 82.812 (82.161)
Epoch: [80][3210/14090]	Time 0.775 (0.752)	Data 0.001 (0.002)	Loss 1.8294 (1.7955)	Prec@1 49.219 (52.847)	Prec@5 81.250 (82.161)
Epoch: [80][3220/14090]	Time 0.741 (0.752)	Data 0.001 (0.002)	Loss 1.8132 (1.7954)	Prec@1 50.000 (52.847)	Prec@5 84.375 (82.163)
Epoch: [80][3230/14090]	Time 0.735 (0.752)	Data 0.001 (0.002)	Loss 1.9512 (1.7952)	Prec@1 49.219 (52.855)	Prec@5 81.250 (82.167)
Epoch: [80][3240/14090]	Time 0.732 (0.752)	Data 0.001 (0.002)	Loss 1.8204 (1.7950)	Prec@1 53.906 (52.856)	Prec@5 81.250 (82.170)
Epoch: [80][3250/14090]	Time 0.776 (0.752)	Data 0.001 (0.002)	Loss 1.6711 (1.7951)	Prec@1 57.031 (52.858)	Prec@5 87.500 (82.174)
Epoch: [80][3260/14090]	Time 0.757 (0.752)	Data 0.002 (0.002)	Loss 1.7770 (1.7950)	Prec@1 54.688 (52.862)	Prec@5 82.812 (82.176)
Epoch: [80][3270/14090]	Time 0.747 (0.752)	Data 0.001 (0.002)	Loss 1.9859 (1.7951)	Prec@1 52.344 (52.857)	Prec@5 76.562 (82.174)
Epoch: [80][3280/14090]	Time 0.759 (0.752)	Data 0.001 (0.002)	Loss 1.9356 (1.7950)	Prec@1 47.656 (52.857)	Prec@5 81.250 (82.175)
Epoch: [80][3290/14090]	Time 0.731 (0.752)	Data 0.001 (0.002)	Loss 1.7928 (1.7950)	Prec@1 53.125 (52.852)	Prec@5 82.031 (82.177)
Epoch: [80][3300/14090]	Time 0.763 (0.752)	Data 0.001 (0.002)	Loss 2.2199 (1.7953)	Prec@1 42.969 (52.848)	Prec@5 77.344 (82.175)
Epoch: [80][3310/14090]	Time 0.736 (0.752)	Data 0.001 (0.002)	Loss 1.8479 (1.7955)	Prec@1 47.656 (52.841)	Prec@5 85.156 (82.172)
Epoch: [80][3320/14090]	Time 0.735 (0.752)	Data 0.001 (0.002)	Loss 1.6424 (1.7955)	Prec@1 52.344 (52.838)	Prec@5 86.719 (82.173)
Epoch: [80][3330/14090]	Time 0.742 (0.752)	Data 0.002 (0.002)	Loss 2.0808 (1.7956)	Prec@1 53.906 (52.841)	Prec@5 77.344 (82.171)
Epoch: [80][3340/14090]	Time 0.763 (0.752)	Data 0.001 (0.002)	Loss 1.6394 (1.7956)	Prec@1 57.031 (52.845)	Prec@5 80.469 (82.173)
Epoch: [80][3350/14090]	Time 0.751 (0.752)	Data 0.001 (0.002)	Loss 1.7495 (1.7956)	Prec@1 53.125 (52.842)	Prec@5 82.031 (82.172)
Epoch: [80][3360/14090]	Time 0.753 (0.752)	Data 0.001 (0.002)	Loss 1.6317 (1.7957)	Prec@1 55.469 (52.841)	Prec@5 86.719 (82.168)
Epoch: [80][3370/14090]	Time 0.728 (0.752)	Data 0.001 (0.002)	Loss 2.0377 (1.7958)	Prec@1 48.438 (52.838)	Prec@5 77.344 (82.169)
Epoch: [80][3380/14090]	Time 0.728 (0.752)	Data 0.001 (0.002)	Loss 1.9326 (1.7959)	Prec@1 46.094 (52.832)	Prec@5 81.250 (82.165)
Epoch: [80][3390/14090]	Time 0.756 (0.752)	Data 0.001 (0.002)	Loss 1.7545 (1.7958)	Prec@1 52.344 (52.834)	Prec@5 78.125 (82.167)
Epoch: [80][3400/14090]	Time 0.745 (0.752)	Data 0.002 (0.002)	Loss 1.5939 (1.7960)	Prec@1 56.250 (52.829)	Prec@5 85.156 (82.159)
Epoch: [80][3410/14090]	Time 0.773 (0.752)	Data 0.001 (0.002)	Loss 1.7661 (1.7963)	Prec@1 53.906 (52.824)	Prec@5 83.594 (82.151)
Epoch: [80][3420/14090]	Time 0.783 (0.752)	Data 0.001 (0.002)	Loss 2.0027 (1.7965)	Prec@1 44.531 (52.820)	Prec@5 79.688 (82.146)
Epoch: [80][3430/14090]	Time 0.781 (0.752)	Data 0.001 (0.002)	Loss 1.8858 (1.7965)	Prec@1 53.125 (52.823)	Prec@5 82.031 (82.147)
Epoch: [80][3440/14090]	Time 0.755 (0.752)	Data 0.001 (0.002)	Loss 1.9816 (1.7967)	Prec@1 44.531 (52.818)	Prec@5 76.562 (82.141)
Epoch: [80][3450/14090]	Time 0.755 (0.752)	Data 0.001 (0.002)	Loss 2.0293 (1.7966)	Prec@1 49.219 (52.822)	Prec@5 79.688 (82.142)
Epoch: [80][3460/14090]	Time 0.747 (0.752)	Data 0.001 (0.002)	Loss 2.0435 (1.7966)	Prec@1 45.312 (52.823)	Prec@5 74.219 (82.141)
Epoch: [80][3470/14090]	Time 0.760 (0.752)	Data 0.002 (0.002)	Loss 1.7605 (1.7968)	Prec@1 56.250 (52.823)	Prec@5 85.156 (82.133)
Epoch: [80][3480/14090]	Time 0.755 (0.752)	Data 0.001 (0.002)	Loss 1.8714 (1.7969)	Prec@1 53.125 (52.824)	Prec@5 79.688 (82.130)
Epoch: [80][3490/14090]	Time 0.724 (0.752)	Data 0.001 (0.002)	Loss 2.0974 (1.7970)	Prec@1 42.969 (52.822)	Prec@5 76.562 (82.128)
Epoch: [80][3500/14090]	Time 0.743 (0.752)	Data 0.001 (0.002)	Loss 1.9007 (1.7972)	Prec@1 49.219 (52.813)	Prec@5 81.250 (82.123)
Epoch: [80][3510/14090]	Time 0.768 (0.752)	Data 0.001 (0.002)	Loss 1.9048 (1.7972)	Prec@1 51.562 (52.817)	Prec@5 78.906 (82.125)
Epoch: [80][3520/14090]	Time 0.748 (0.752)	Data 0.001 (0.002)	Loss 1.9350 (1.7971)	Prec@1 51.562 (52.817)	Prec@5 81.250 (82.125)
Epoch: [80][3530/14090]	Time 0.771 (0.752)	Data 0.001 (0.002)	Loss 2.0301 (1.7971)	Prec@1 49.219 (52.817)	Prec@5 79.688 (82.125)
Epoch: [80][3540/14090]	Time 0.726 (0.752)	Data 0.002 (0.002)	Loss 1.9883 (1.7973)	Prec@1 52.344 (52.815)	Prec@5 78.906 (82.121)
Epoch: [80][3550/14090]	Time 0.756 (0.752)	Data 0.001 (0.002)	Loss 1.6410 (1.7972)	Prec@1 57.812 (52.817)	Prec@5 84.375 (82.122)
Epoch: [80][3560/14090]	Time 0.742 (0.752)	Data 0.001 (0.002)	Loss 1.8818 (1.7974)	Prec@1 51.562 (52.807)	Prec@5 81.250 (82.116)
Epoch: [80][3570/14090]	Time 0.744 (0.752)	Data 0.001 (0.002)	Loss 1.7403 (1.7973)	Prec@1 50.781 (52.805)	Prec@5 79.688 (82.114)
Epoch: [80][3580/14090]	Time 0.740 (0.752)	Data 0.001 (0.002)	Loss 1.8604 (1.7974)	Prec@1 53.906 (52.804)	Prec@5 83.594 (82.113)
Epoch: [80][3590/14090]	Time 0.736 (0.752)	Data 0.001 (0.002)	Loss 1.7142 (1.7976)	Prec@1 53.125 (52.802)	Prec@5 80.469 (82.111)
Epoch: [80][3600/14090]	Time 0.754 (0.752)	Data 0.001 (0.002)	Loss 1.7790 (1.7974)	Prec@1 51.562 (52.805)	Prec@5 85.156 (82.114)
Epoch: [80][3610/14090]	Time 0.750 (0.752)	Data 0.002 (0.002)	Loss 1.8173 (1.7975)	Prec@1 53.125 (52.803)	Prec@5 81.250 (82.110)
Epoch: [80][3620/14090]	Time 0.760 (0.752)	Data 0.001 (0.002)	Loss 1.8373 (1.7977)	Prec@1 53.906 (52.798)	Prec@5 82.031 (82.108)
Epoch: [80][3630/14090]	Time 0.737 (0.752)	Data 0.001 (0.002)	Loss 1.6920 (1.7978)	Prec@1 54.688 (52.793)	Prec@5 85.156 (82.109)
Epoch: [80][3640/14090]	Time 0.758 (0.752)	Data 0.001 (0.002)	Loss 1.9090 (1.7978)	Prec@1 48.438 (52.786)	Prec@5 78.125 (82.108)
Epoch: [80][3650/14090]	Time 0.775 (0.752)	Data 0.001 (0.002)	Loss 1.6826 (1.7978)	Prec@1 58.594 (52.791)	Prec@5 85.156 (82.105)
Epoch: [80][3660/14090]	Time 0.748 (0.752)	Data 0.001 (0.002)	Loss 2.1573 (1.7979)	Prec@1 43.750 (52.790)	Prec@5 75.000 (82.101)
Epoch: [80][3670/14090]	Time 0.759 (0.752)	Data 0.001 (0.002)	Loss 1.5370 (1.7980)	Prec@1 55.469 (52.785)	Prec@5 88.281 (82.101)
Epoch: [80][3680/14090]	Time 0.749 (0.752)	Data 0.002 (0.002)	Loss 1.9315 (1.7979)	Prec@1 51.562 (52.787)	Prec@5 77.344 (82.098)
Epoch: [80][3690/14090]	Time 0.723 (0.752)	Data 0.001 (0.002)	Loss 1.5810 (1.7979)	Prec@1 61.719 (52.790)	Prec@5 87.500 (82.101)
Epoch: [80][3700/14090]	Time 0.748 (0.752)	Data 0.001 (0.002)	Loss 1.7482 (1.7976)	Prec@1 50.000 (52.794)	Prec@5 87.500 (82.108)
Epoch: [80][3710/14090]	Time 0.767 (0.752)	Data 0.001 (0.002)	Loss 1.9981 (1.7977)	Prec@1 53.906 (52.794)	Prec@5 75.781 (82.107)
Epoch: [80][3720/14090]	Time 0.731 (0.752)	Data 0.001 (0.002)	Loss 1.6336 (1.7976)	Prec@1 57.031 (52.798)	Prec@5 87.500 (82.109)
Epoch: [80][3730/14090]	Time 0.779 (0.752)	Data 0.001 (0.002)	Loss 1.7115 (1.7975)	Prec@1 55.469 (52.802)	Prec@5 82.031 (82.110)
Epoch: [80][3740/14090]	Time 0.775 (0.752)	Data 0.001 (0.002)	Loss 1.7567 (1.7976)	Prec@1 54.688 (52.800)	Prec@5 83.594 (82.105)
Epoch: [80][3750/14090]	Time 0.744 (0.752)	Data 0.002 (0.002)	Loss 1.5574 (1.7975)	Prec@1 56.250 (52.803)	Prec@5 82.031 (82.106)
Epoch: [80][3760/14090]	Time 0.751 (0.752)	Data 0.001 (0.002)	Loss 1.6277 (1.7975)	Prec@1 59.375 (52.804)	Prec@5 82.812 (82.103)
Epoch: [80][3770/14090]	Time 0.732 (0.752)	Data 0.001 (0.002)	Loss 1.7729 (1.7976)	Prec@1 51.562 (52.804)	Prec@5 80.469 (82.101)
Epoch: [80][3780/14090]	Time 0.732 (0.752)	Data 0.001 (0.002)	Loss 1.6168 (1.7976)	Prec@1 60.156 (52.804)	Prec@5 84.375 (82.098)
Epoch: [80][3790/14090]	Time 0.728 (0.752)	Data 0.001 (0.002)	Loss 1.7105 (1.7978)	Prec@1 57.812 (52.797)	Prec@5 83.594 (82.096)
Epoch: [80][3800/14090]	Time 0.743 (0.752)	Data 0.001 (0.002)	Loss 1.7970 (1.7977)	Prec@1 56.250 (52.801)	Prec@5 82.031 (82.097)
Epoch: [80][3810/14090]	Time 0.747 (0.752)	Data 0.001 (0.002)	Loss 1.7991 (1.7975)	Prec@1 50.000 (52.805)	Prec@5 79.688 (82.098)
Epoch: [80][3820/14090]	Time 0.750 (0.752)	Data 0.002 (0.002)	Loss 2.2094 (1.7975)	Prec@1 44.531 (52.801)	Prec@5 73.438 (82.097)
Epoch: [80][3830/14090]	Time 0.750 (0.752)	Data 0.001 (0.002)	Loss 1.6233 (1.7976)	Prec@1 56.250 (52.798)	Prec@5 85.156 (82.099)
Epoch: [80][3840/14090]	Time 0.758 (0.752)	Data 0.001 (0.002)	Loss 1.6438 (1.7974)	Prec@1 53.125 (52.800)	Prec@5 85.156 (82.100)
Epoch: [80][3850/14090]	Time 0.731 (0.752)	Data 0.001 (0.002)	Loss 1.7058 (1.7973)	Prec@1 54.688 (52.804)	Prec@5 83.594 (82.103)
Epoch: [80][3860/14090]	Time 0.742 (0.752)	Data 0.001 (0.002)	Loss 1.8251 (1.7972)	Prec@1 50.000 (52.803)	Prec@5 79.688 (82.101)
Epoch: [80][3870/14090]	Time 0.750 (0.752)	Data 0.001 (0.002)	Loss 1.7340 (1.7971)	Prec@1 57.812 (52.807)	Prec@5 83.594 (82.105)
Epoch: [80][3880/14090]	Time 0.767 (0.752)	Data 0.001 (0.002)	Loss 1.8744 (1.7972)	Prec@1 56.250 (52.807)	Prec@5 80.469 (82.102)
Epoch: [80][3890/14090]	Time 0.732 (0.752)	Data 0.002 (0.002)	Loss 1.7096 (1.7974)	Prec@1 56.250 (52.805)	Prec@5 85.938 (82.097)
Epoch: [80][3900/14090]	Time 0.752 (0.752)	Data 0.001 (0.002)	Loss 1.8036 (1.7976)	Prec@1 53.906 (52.796)	Prec@5 80.469 (82.094)
Epoch: [80][3910/14090]	Time 0.740 (0.752)	Data 0.001 (0.002)	Loss 1.9342 (1.7978)	Prec@1 51.562 (52.788)	Prec@5 75.781 (82.093)
Epoch: [80][3920/14090]	Time 0.752 (0.752)	Data 0.001 (0.002)	Loss 1.6352 (1.7977)	Prec@1 60.156 (52.790)	Prec@5 80.469 (82.092)
Epoch: [80][3930/14090]	Time 0.747 (0.752)	Data 0.001 (0.002)	Loss 1.8725 (1.7976)	Prec@1 52.344 (52.797)	Prec@5 83.594 (82.092)
Epoch: [80][3940/14090]	Time 0.761 (0.752)	Data 0.001 (0.002)	Loss 1.9251 (1.7977)	Prec@1 46.094 (52.793)	Prec@5 77.344 (82.090)
Epoch: [80][3950/14090]	Time 0.760 (0.752)	Data 0.001 (0.002)	Loss 1.7442 (1.7976)	Prec@1 49.219 (52.796)	Prec@5 84.375 (82.095)
Epoch: [80][3960/14090]	Time 0.742 (0.752)	Data 0.002 (0.002)	Loss 1.6252 (1.7973)	Prec@1 58.594 (52.799)	Prec@5 87.500 (82.098)
Epoch: [80][3970/14090]	Time 0.759 (0.751)	Data 0.001 (0.002)	Loss 1.8788 (1.7972)	Prec@1 51.562 (52.796)	Prec@5 79.688 (82.103)
Epoch: [80][3980/14090]	Time 0.778 (0.751)	Data 0.001 (0.002)	Loss 1.7114 (1.7970)	Prec@1 53.125 (52.799)	Prec@5 85.938 (82.107)
Epoch: [80][3990/14090]	Time 0.740 (0.751)	Data 0.001 (0.002)	Loss 1.5581 (1.7968)	Prec@1 57.031 (52.803)	Prec@5 89.844 (82.109)
Epoch: [80][4000/14090]	Time 0.732 (0.751)	Data 0.001 (0.002)	Loss 1.9372 (1.7969)	Prec@1 46.875 (52.801)	Prec@5 83.594 (82.105)
Epoch: [80][4010/14090]	Time 0.758 (0.751)	Data 0.001 (0.002)	Loss 1.7677 (1.7972)	Prec@1 50.000 (52.796)	Prec@5 85.156 (82.105)
Epoch: [80][4020/14090]	Time 0.745 (0.751)	Data 0.001 (0.002)	Loss 1.7089 (1.7974)	Prec@1 58.594 (52.797)	Prec@5 82.812 (82.098)
Epoch: [80][4030/14090]	Time 0.761 (0.751)	Data 0.002 (0.002)	Loss 1.8704 (1.7975)	Prec@1 50.781 (52.798)	Prec@5 75.781 (82.095)
Epoch: [80][4040/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 1.6769 (1.7974)	Prec@1 55.469 (52.798)	Prec@5 82.031 (82.096)
Epoch: [80][4050/14090]	Time 0.777 (0.751)	Data 0.001 (0.002)	Loss 1.7695 (1.7974)	Prec@1 56.250 (52.803)	Prec@5 80.469 (82.095)
Epoch: [80][4060/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 1.7630 (1.7976)	Prec@1 57.031 (52.799)	Prec@5 84.375 (82.091)
Epoch: [80][4070/14090]	Time 0.744 (0.751)	Data 0.001 (0.002)	Loss 1.6310 (1.7974)	Prec@1 53.906 (52.803)	Prec@5 85.156 (82.093)
Epoch: [80][4080/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 1.6118 (1.7974)	Prec@1 54.688 (52.805)	Prec@5 84.375 (82.093)
Epoch: [80][4090/14090]	Time 0.746 (0.751)	Data 0.001 (0.002)	Loss 1.6125 (1.7974)	Prec@1 55.469 (52.802)	Prec@5 86.719 (82.094)
Epoch: [80][4100/14090]	Time 0.750 (0.751)	Data 0.002 (0.002)	Loss 2.1739 (1.7975)	Prec@1 52.344 (52.803)	Prec@5 72.656 (82.092)
Epoch: [80][4110/14090]	Time 0.731 (0.751)	Data 0.001 (0.002)	Loss 1.7126 (1.7975)	Prec@1 51.562 (52.805)	Prec@5 81.250 (82.090)
Epoch: [80][4120/14090]	Time 0.756 (0.751)	Data 0.001 (0.002)	Loss 1.9154 (1.7975)	Prec@1 48.438 (52.804)	Prec@5 78.906 (82.087)
Epoch: [80][4130/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 1.7255 (1.7975)	Prec@1 54.688 (52.803)	Prec@5 84.375 (82.089)
Epoch: [80][4140/14090]	Time 0.775 (0.751)	Data 0.001 (0.002)	Loss 1.6777 (1.7974)	Prec@1 56.250 (52.805)	Prec@5 81.250 (82.089)
Epoch: [80][4150/14090]	Time 0.744 (0.751)	Data 0.001 (0.002)	Loss 1.9695 (1.7974)	Prec@1 50.781 (52.810)	Prec@5 80.469 (82.088)
Epoch: [80][4160/14090]	Time 0.740 (0.751)	Data 0.001 (0.002)	Loss 1.6240 (1.7974)	Prec@1 60.938 (52.809)	Prec@5 84.375 (82.087)
Epoch: [80][4170/14090]	Time 0.754 (0.751)	Data 0.002 (0.002)	Loss 1.8328 (1.7976)	Prec@1 46.094 (52.805)	Prec@5 82.812 (82.082)
Epoch: [80][4180/14090]	Time 0.740 (0.751)	Data 0.001 (0.002)	Loss 1.6598 (1.7975)	Prec@1 55.469 (52.809)	Prec@5 85.156 (82.084)
Epoch: [80][4190/14090]	Time 0.748 (0.751)	Data 0.001 (0.002)	Loss 1.9920 (1.7976)	Prec@1 44.531 (52.804)	Prec@5 80.469 (82.082)
Epoch: [80][4200/14090]	Time 0.764 (0.751)	Data 0.001 (0.002)	Loss 1.8707 (1.7975)	Prec@1 50.000 (52.805)	Prec@5 82.031 (82.079)
Epoch: [80][4210/14090]	Time 0.767 (0.751)	Data 0.001 (0.002)	Loss 2.1191 (1.7975)	Prec@1 41.406 (52.805)	Prec@5 72.656 (82.079)
Epoch: [80][4220/14090]	Time 0.762 (0.751)	Data 0.001 (0.002)	Loss 1.6764 (1.7975)	Prec@1 52.344 (52.806)	Prec@5 84.375 (82.080)
Epoch: [80][4230/14090]	Time 0.743 (0.751)	Data 0.001 (0.002)	Loss 1.7471 (1.7973)	Prec@1 53.906 (52.811)	Prec@5 84.375 (82.084)
Epoch: [80][4240/14090]	Time 0.757 (0.751)	Data 0.002 (0.002)	Loss 1.5984 (1.7974)	Prec@1 60.156 (52.811)	Prec@5 86.719 (82.084)
Epoch: [80][4250/14090]	Time 0.772 (0.751)	Data 0.001 (0.002)	Loss 1.8783 (1.7976)	Prec@1 53.125 (52.804)	Prec@5 80.469 (82.078)
Epoch: [80][4260/14090]	Time 0.731 (0.751)	Data 0.001 (0.002)	Loss 1.9355 (1.7976)	Prec@1 52.344 (52.802)	Prec@5 79.688 (82.077)
Epoch: [80][4270/14090]	Time 0.778 (0.751)	Data 0.001 (0.002)	Loss 1.7642 (1.7977)	Prec@1 53.906 (52.798)	Prec@5 82.812 (82.075)
Epoch: [80][4280/14090]	Time 0.748 (0.751)	Data 0.001 (0.002)	Loss 1.9863 (1.7977)	Prec@1 50.781 (52.798)	Prec@5 80.469 (82.076)
Epoch: [80][4290/14090]	Time 0.781 (0.751)	Data 0.001 (0.002)	Loss 1.9457 (1.7975)	Prec@1 45.312 (52.798)	Prec@5 80.469 (82.078)
Epoch: [80][4300/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 1.9614 (1.7974)	Prec@1 51.562 (52.800)	Prec@5 77.344 (82.079)
Epoch: [80][4310/14090]	Time 0.733 (0.751)	Data 0.002 (0.002)	Loss 1.8011 (1.7974)	Prec@1 52.344 (52.803)	Prec@5 81.250 (82.081)
Epoch: [80][4320/14090]	Time 0.765 (0.751)	Data 0.001 (0.002)	Loss 1.8219 (1.7975)	Prec@1 56.250 (52.800)	Prec@5 82.031 (82.078)
Epoch: [80][4330/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 1.6355 (1.7976)	Prec@1 55.469 (52.801)	Prec@5 80.469 (82.075)
Epoch: [80][4340/14090]	Time 0.751 (0.751)	Data 0.001 (0.002)	Loss 1.6816 (1.7976)	Prec@1 50.781 (52.799)	Prec@5 85.938 (82.077)
Epoch: [80][4350/14090]	Time 0.743 (0.751)	Data 0.001 (0.002)	Loss 2.1648 (1.7976)	Prec@1 46.875 (52.801)	Prec@5 78.125 (82.075)
Epoch: [80][4360/14090]	Time 0.729 (0.751)	Data 0.001 (0.002)	Loss 2.1629 (1.7977)	Prec@1 47.656 (52.798)	Prec@5 71.875 (82.071)
Epoch: [80][4370/14090]	Time 0.758 (0.751)	Data 0.001 (0.002)	Loss 1.5813 (1.7975)	Prec@1 59.375 (52.803)	Prec@5 86.719 (82.075)
Epoch: [80][4380/14090]	Time 0.745 (0.751)	Data 0.002 (0.002)	Loss 1.8869 (1.7977)	Prec@1 53.125 (52.801)	Prec@5 78.125 (82.072)
Epoch: [80][4390/14090]	Time 0.748 (0.751)	Data 0.001 (0.002)	Loss 1.7140 (1.7979)	Prec@1 52.344 (52.795)	Prec@5 81.250 (82.070)
Epoch: [80][4400/14090]	Time 0.772 (0.751)	Data 0.001 (0.002)	Loss 1.9091 (1.7978)	Prec@1 44.531 (52.796)	Prec@5 82.031 (82.073)
Epoch: [80][4410/14090]	Time 0.723 (0.751)	Data 0.001 (0.002)	Loss 1.5765 (1.7979)	Prec@1 60.156 (52.795)	Prec@5 87.500 (82.075)
Epoch: [80][4420/14090]	Time 0.748 (0.751)	Data 0.001 (0.002)	Loss 1.6116 (1.7980)	Prec@1 50.000 (52.785)	Prec@5 85.938 (82.075)
Epoch: [80][4430/14090]	Time 0.724 (0.751)	Data 0.001 (0.002)	Loss 1.8171 (1.7982)	Prec@1 50.781 (52.778)	Prec@5 77.344 (82.074)
Epoch: [80][4440/14090]	Time 0.764 (0.751)	Data 0.001 (0.002)	Loss 1.6399 (1.7983)	Prec@1 58.594 (52.776)	Prec@5 88.281 (82.072)
Epoch: [80][4450/14090]	Time 0.759 (0.751)	Data 0.002 (0.002)	Loss 1.7583 (1.7983)	Prec@1 49.219 (52.774)	Prec@5 87.500 (82.070)
Epoch: [80][4460/14090]	Time 0.724 (0.751)	Data 0.001 (0.002)	Loss 1.7297 (1.7983)	Prec@1 53.906 (52.771)	Prec@5 85.156 (82.073)
Epoch: [80][4470/14090]	Time 0.773 (0.751)	Data 0.001 (0.002)	Loss 1.8914 (1.7982)	Prec@1 49.219 (52.772)	Prec@5 78.906 (82.073)
Epoch: [80][4480/14090]	Time 0.740 (0.751)	Data 0.001 (0.002)	Loss 1.9007 (1.7983)	Prec@1 49.219 (52.772)	Prec@5 78.906 (82.074)
Epoch: [80][4490/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 1.8242 (1.7985)	Prec@1 51.562 (52.771)	Prec@5 80.469 (82.071)
Epoch: [80][4500/14090]	Time 0.749 (0.751)	Data 0.001 (0.002)	Loss 1.5368 (1.7982)	Prec@1 61.719 (52.780)	Prec@5 82.812 (82.076)
Epoch: [80][4510/14090]	Time 0.777 (0.751)	Data 0.001 (0.002)	Loss 1.7302 (1.7981)	Prec@1 53.906 (52.784)	Prec@5 85.938 (82.080)
Epoch: [80][4520/14090]	Time 0.758 (0.751)	Data 0.002 (0.002)	Loss 2.0674 (1.7981)	Prec@1 53.125 (52.785)	Prec@5 74.219 (82.082)
Epoch: [80][4530/14090]	Time 0.738 (0.751)	Data 0.001 (0.002)	Loss 1.7045 (1.7981)	Prec@1 48.438 (52.784)	Prec@5 84.375 (82.081)
Epoch: [80][4540/14090]	Time 0.758 (0.751)	Data 0.001 (0.002)	Loss 1.8540 (1.7981)	Prec@1 51.562 (52.784)	Prec@5 80.469 (82.082)
Epoch: [80][4550/14090]	Time 0.741 (0.751)	Data 0.001 (0.002)	Loss 1.7416 (1.7981)	Prec@1 53.906 (52.787)	Prec@5 81.250 (82.083)
Epoch: [80][4560/14090]	Time 0.759 (0.751)	Data 0.001 (0.002)	Loss 2.0452 (1.7984)	Prec@1 43.750 (52.783)	Prec@5 81.250 (82.079)
Epoch: [80][4570/14090]	Time 0.731 (0.751)	Data 0.001 (0.002)	Loss 2.1600 (1.7985)	Prec@1 48.438 (52.783)	Prec@5 74.219 (82.074)
Epoch: [80][4580/14090]	Time 0.749 (0.751)	Data 0.001 (0.002)	Loss 1.8445 (1.7987)	Prec@1 49.219 (52.777)	Prec@5 85.156 (82.071)
Epoch: [80][4590/14090]	Time 0.761 (0.751)	Data 0.002 (0.002)	Loss 1.8261 (1.7985)	Prec@1 55.469 (52.783)	Prec@5 79.688 (82.072)
Epoch: [80][4600/14090]	Time 0.745 (0.751)	Data 0.001 (0.002)	Loss 2.0046 (1.7986)	Prec@1 47.656 (52.780)	Prec@5 80.469 (82.071)
Epoch: [80][4610/14090]	Time 0.730 (0.751)	Data 0.001 (0.002)	Loss 1.9102 (1.7986)	Prec@1 53.125 (52.779)	Prec@5 79.688 (82.072)
Epoch: [80][4620/14090]	Time 0.764 (0.751)	Data 0.001 (0.002)	Loss 1.7722 (1.7987)	Prec@1 53.125 (52.776)	Prec@5 80.469 (82.068)
Epoch: [80][4630/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 1.5966 (1.7987)	Prec@1 53.906 (52.775)	Prec@5 85.156 (82.068)
Epoch: [80][4640/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 1.9333 (1.7986)	Prec@1 50.781 (52.773)	Prec@5 76.562 (82.071)
Epoch: [80][4650/14090]	Time 0.734 (0.751)	Data 0.001 (0.002)	Loss 1.9643 (1.7985)	Prec@1 48.438 (52.774)	Prec@5 81.250 (82.073)
Epoch: [80][4660/14090]	Time 0.771 (0.751)	Data 0.002 (0.002)	Loss 1.8356 (1.7985)	Prec@1 52.344 (52.775)	Prec@5 86.719 (82.075)
Epoch: [80][4670/14090]	Time 0.743 (0.751)	Data 0.001 (0.002)	Loss 1.8714 (1.7985)	Prec@1 55.469 (52.778)	Prec@5 83.594 (82.075)
Epoch: [80][4680/14090]	Time 0.780 (0.751)	Data 0.001 (0.002)	Loss 1.9597 (1.7986)	Prec@1 49.219 (52.774)	Prec@5 78.906 (82.073)
Epoch: [80][4690/14090]	Time 0.770 (0.751)	Data 0.001 (0.002)	Loss 1.7050 (1.7987)	Prec@1 53.906 (52.770)	Prec@5 83.594 (82.070)
Epoch: [80][4700/14090]	Time 0.736 (0.751)	Data 0.001 (0.002)	Loss 1.7451 (1.7987)	Prec@1 53.125 (52.768)	Prec@5 86.719 (82.070)
Epoch: [80][4710/14090]	Time 0.771 (0.751)	Data 0.001 (0.002)	Loss 1.6835 (1.7986)	Prec@1 56.250 (52.770)	Prec@5 84.375 (82.071)
Epoch: [80][4720/14090]	Time 0.742 (0.751)	Data 0.001 (0.002)	Loss 1.9380 (1.7987)	Prec@1 50.781 (52.766)	Prec@5 78.125 (82.071)
Epoch: [80][4730/14090]	Time 0.753 (0.751)	Data 0.002 (0.002)	Loss 1.8342 (1.7987)	Prec@1 48.438 (52.762)	Prec@5 82.031 (82.074)
Epoch: [80][4740/14090]	Time 0.743 (0.751)	Data 0.001 (0.002)	Loss 1.7792 (1.7987)	Prec@1 53.125 (52.762)	Prec@5 80.469 (82.072)
Epoch: [80][4750/14090]	Time 0.757 (0.751)	Data 0.001 (0.002)	Loss 1.8742 (1.7987)	Prec@1 46.875 (52.755)	Prec@5 82.031 (82.071)
Epoch: [80][4760/14090]	Time 0.743 (0.751)	Data 0.001 (0.002)	Loss 1.7375 (1.7987)	Prec@1 52.344 (52.752)	Prec@5 86.719 (82.075)
Epoch: [80][4770/14090]	Time 0.761 (0.751)	Data 0.001 (0.002)	Loss 1.5734 (1.7987)	Prec@1 60.156 (52.754)	Prec@5 84.375 (82.075)
Epoch: [80][4780/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 1.8099 (1.7987)	Prec@1 50.000 (52.752)	Prec@5 79.688 (82.074)
Epoch: [80][4790/14090]	Time 0.744 (0.751)	Data 0.001 (0.002)	Loss 1.7513 (1.7985)	Prec@1 57.812 (52.760)	Prec@5 82.031 (82.076)
Epoch: [80][4800/14090]	Time 0.737 (0.751)	Data 0.002 (0.002)	Loss 1.5647 (1.7986)	Prec@1 58.594 (52.755)	Prec@5 82.812 (82.075)
Epoch: [80][4810/14090]	Time 0.726 (0.751)	Data 0.001 (0.002)	Loss 2.1360 (1.7987)	Prec@1 44.531 (52.753)	Prec@5 78.125 (82.072)
Epoch: [80][4820/14090]	Time 0.757 (0.751)	Data 0.001 (0.002)	Loss 1.8041 (1.7987)	Prec@1 51.562 (52.753)	Prec@5 83.594 (82.070)
Epoch: [80][4830/14090]	Time 0.743 (0.751)	Data 0.001 (0.002)	Loss 1.7326 (1.7987)	Prec@1 53.906 (52.755)	Prec@5 83.594 (82.070)
Epoch: [80][4840/14090]	Time 0.770 (0.751)	Data 0.001 (0.002)	Loss 1.9169 (1.7988)	Prec@1 52.344 (52.752)	Prec@5 80.469 (82.070)
Epoch: [80][4850/14090]	Time 0.733 (0.751)	Data 0.001 (0.002)	Loss 1.6689 (1.7988)	Prec@1 57.031 (52.753)	Prec@5 85.938 (82.070)
Epoch: [80][4860/14090]	Time 0.740 (0.751)	Data 0.001 (0.002)	Loss 2.0336 (1.7987)	Prec@1 49.219 (52.756)	Prec@5 79.688 (82.072)
Epoch: [80][4870/14090]	Time 0.733 (0.751)	Data 0.002 (0.002)	Loss 1.8178 (1.7986)	Prec@1 49.219 (52.758)	Prec@5 78.125 (82.074)
Epoch: [80][4880/14090]	Time 0.737 (0.751)	Data 0.001 (0.002)	Loss 1.5528 (1.7985)	Prec@1 60.156 (52.758)	Prec@5 82.031 (82.075)
Epoch: [80][4890/14090]	Time 0.729 (0.751)	Data 0.001 (0.002)	Loss 1.9050 (1.7986)	Prec@1 50.000 (52.753)	Prec@5 79.688 (82.072)
Epoch: [80][4900/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 1.7958 (1.7987)	Prec@1 53.906 (52.749)	Prec@5 78.125 (82.073)
Epoch: [80][4910/14090]	Time 0.746 (0.751)	Data 0.001 (0.002)	Loss 1.7819 (1.7988)	Prec@1 57.031 (52.747)	Prec@5 82.812 (82.070)
Epoch: [80][4920/14090]	Time 0.757 (0.751)	Data 0.001 (0.002)	Loss 1.6602 (1.7987)	Prec@1 59.375 (52.752)	Prec@5 82.031 (82.070)
Epoch: [80][4930/14090]	Time 0.735 (0.751)	Data 0.001 (0.002)	Loss 1.7854 (1.7987)	Prec@1 55.469 (52.752)	Prec@5 84.375 (82.071)
Epoch: [80][4940/14090]	Time 0.733 (0.751)	Data 0.002 (0.002)	Loss 1.8831 (1.7987)	Prec@1 52.344 (52.756)	Prec@5 77.344 (82.073)
Epoch: [80][4950/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 1.8886 (1.7987)	Prec@1 53.125 (52.757)	Prec@5 78.125 (82.071)
Epoch: [80][4960/14090]	Time 0.750 (0.751)	Data 0.001 (0.002)	Loss 2.0607 (1.7988)	Prec@1 48.438 (52.754)	Prec@5 75.781 (82.069)
Epoch: [80][4970/14090]	Time 0.778 (0.751)	Data 0.001 (0.002)	Loss 2.2027 (1.7989)	Prec@1 49.219 (52.753)	Prec@5 75.781 (82.069)
Epoch: [80][4980/14090]	Time 0.768 (0.751)	Data 0.001 (0.002)	Loss 1.7016 (1.7989)	Prec@1 57.812 (52.752)	Prec@5 85.938 (82.070)
Epoch: [80][4990/14090]	Time 0.737 (0.751)	Data 0.001 (0.002)	Loss 1.7318 (1.7989)	Prec@1 52.344 (52.750)	Prec@5 79.688 (82.069)
Epoch: [80][5000/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 1.9849 (1.7991)	Prec@1 55.469 (52.750)	Prec@5 78.125 (82.065)
Epoch: [80][5010/14090]	Time 0.740 (0.751)	Data 0.002 (0.002)	Loss 1.8251 (1.7990)	Prec@1 56.250 (52.756)	Prec@5 78.125 (82.065)
Epoch: [80][5020/14090]	Time 0.770 (0.751)	Data 0.001 (0.002)	Loss 1.5610 (1.7989)	Prec@1 57.031 (52.760)	Prec@5 88.281 (82.065)
Epoch: [80][5030/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 1.9541 (1.7990)	Prec@1 47.656 (52.756)	Prec@5 81.250 (82.063)
Epoch: [80][5040/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 1.9256 (1.7991)	Prec@1 52.344 (52.755)	Prec@5 78.906 (82.061)
Epoch: [80][5050/14090]	Time 0.756 (0.751)	Data 0.001 (0.002)	Loss 1.8254 (1.7990)	Prec@1 53.906 (52.758)	Prec@5 84.375 (82.063)
Epoch: [80][5060/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 1.9032 (1.7992)	Prec@1 46.094 (52.754)	Prec@5 81.250 (82.059)
Epoch: [80][5070/14090]	Time 0.762 (0.751)	Data 0.001 (0.002)	Loss 1.7241 (1.7990)	Prec@1 56.250 (52.758)	Prec@5 80.469 (82.061)
Epoch: [80][5080/14090]	Time 0.736 (0.751)	Data 0.002 (0.002)	Loss 1.7243 (1.7991)	Prec@1 53.906 (52.753)	Prec@5 82.812 (82.060)
Epoch: [80][5090/14090]	Time 0.746 (0.751)	Data 0.001 (0.002)	Loss 1.7125 (1.7993)	Prec@1 57.031 (52.751)	Prec@5 84.375 (82.057)
Epoch: [80][5100/14090]	Time 0.745 (0.751)	Data 0.001 (0.002)	Loss 1.7288 (1.7992)	Prec@1 50.781 (52.750)	Prec@5 83.594 (82.059)
Epoch: [80][5110/14090]	Time 0.780 (0.751)	Data 0.001 (0.002)	Loss 1.6973 (1.7992)	Prec@1 57.812 (52.752)	Prec@5 83.594 (82.059)
Epoch: [80][5120/14090]	Time 0.773 (0.751)	Data 0.001 (0.002)	Loss 1.8312 (1.7992)	Prec@1 45.312 (52.752)	Prec@5 85.156 (82.060)
Epoch: [80][5130/14090]	Time 0.753 (0.751)	Data 0.001 (0.002)	Loss 1.8918 (1.7992)	Prec@1 56.250 (52.751)	Prec@5 80.469 (82.059)
Epoch: [80][5140/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 1.9184 (1.7994)	Prec@1 49.219 (52.748)	Prec@5 78.906 (82.057)
Epoch: [80][5150/14090]	Time 0.754 (0.751)	Data 0.002 (0.002)	Loss 2.2438 (1.7994)	Prec@1 53.125 (52.750)	Prec@5 77.344 (82.059)
Epoch: [80][5160/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 2.1829 (1.7993)	Prec@1 44.531 (52.754)	Prec@5 74.219 (82.060)
Epoch: [80][5170/14090]	Time 0.743 (0.751)	Data 0.001 (0.002)	Loss 1.5872 (1.7991)	Prec@1 62.500 (52.758)	Prec@5 80.469 (82.061)
Epoch: [80][5180/14090]	Time 0.737 (0.751)	Data 0.001 (0.002)	Loss 1.7378 (1.7992)	Prec@1 54.688 (52.755)	Prec@5 81.250 (82.060)
Epoch: [80][5190/14090]	Time 0.756 (0.751)	Data 0.001 (0.002)	Loss 1.6223 (1.7992)	Prec@1 59.375 (52.754)	Prec@5 82.812 (82.061)
Epoch: [80][5200/14090]	Time 0.749 (0.751)	Data 0.001 (0.002)	Loss 1.7953 (1.7992)	Prec@1 54.688 (52.758)	Prec@5 82.812 (82.060)
Epoch: [80][5210/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 2.1104 (1.7993)	Prec@1 48.438 (52.754)	Prec@5 76.562 (82.059)
Epoch: [80][5220/14090]	Time 0.732 (0.751)	Data 0.002 (0.002)	Loss 1.9386 (1.7993)	Prec@1 51.562 (52.752)	Prec@5 78.906 (82.061)
Epoch: [80][5230/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 1.6982 (1.7991)	Prec@1 58.594 (52.759)	Prec@5 79.688 (82.063)
Epoch: [80][5240/14090]	Time 0.753 (0.751)	Data 0.001 (0.002)	Loss 1.8274 (1.7992)	Prec@1 53.906 (52.754)	Prec@5 82.031 (82.062)
Epoch: [80][5250/14090]	Time 0.744 (0.751)	Data 0.001 (0.002)	Loss 1.5921 (1.7992)	Prec@1 57.031 (52.755)	Prec@5 82.812 (82.062)
Epoch: [80][5260/14090]	Time 0.757 (0.751)	Data 0.001 (0.002)	Loss 1.5536 (1.7992)	Prec@1 58.594 (52.754)	Prec@5 89.844 (82.065)
Epoch: [80][5270/14090]	Time 0.756 (0.751)	Data 0.001 (0.002)	Loss 1.7750 (1.7992)	Prec@1 53.125 (52.755)	Prec@5 82.031 (82.067)
Epoch: [80][5280/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 1.5434 (1.7990)	Prec@1 57.812 (52.755)	Prec@5 85.938 (82.071)
Epoch: [80][5290/14090]	Time 0.753 (0.751)	Data 0.002 (0.002)	Loss 1.8752 (1.7992)	Prec@1 50.000 (52.755)	Prec@5 81.250 (82.070)
Epoch: [80][5300/14090]	Time 0.748 (0.751)	Data 0.001 (0.002)	Loss 1.6288 (1.7991)	Prec@1 51.562 (52.753)	Prec@5 83.594 (82.071)
Epoch: [80][5310/14090]	Time 0.743 (0.751)	Data 0.001 (0.002)	Loss 1.4414 (1.7990)	Prec@1 60.938 (52.755)	Prec@5 85.938 (82.073)
Epoch: [80][5320/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 1.7481 (1.7991)	Prec@1 52.344 (52.753)	Prec@5 82.031 (82.072)
Epoch: [80][5330/14090]	Time 0.737 (0.751)	Data 0.001 (0.002)	Loss 1.7483 (1.7991)	Prec@1 53.906 (52.753)	Prec@5 82.812 (82.071)
Epoch: [80][5340/14090]	Time 0.760 (0.751)	Data 0.001 (0.002)	Loss 1.8338 (1.7991)	Prec@1 56.250 (52.755)	Prec@5 83.594 (82.070)
Epoch: [80][5350/14090]	Time 0.757 (0.751)	Data 0.001 (0.002)	Loss 1.8223 (1.7991)	Prec@1 50.781 (52.755)	Prec@5 81.250 (82.072)
Epoch: [80][5360/14090]	Time 0.778 (0.751)	Data 0.002 (0.002)	Loss 1.7759 (1.7991)	Prec@1 52.344 (52.756)	Prec@5 80.469 (82.071)
Epoch: [80][5370/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 1.8105 (1.7993)	Prec@1 53.906 (52.753)	Prec@5 82.031 (82.067)
Epoch: [80][5380/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 1.6487 (1.7994)	Prec@1 54.688 (52.751)	Prec@5 89.062 (82.065)
Epoch: [80][5390/14090]	Time 0.761 (0.751)	Data 0.001 (0.002)	Loss 1.6599 (1.7994)	Prec@1 56.250 (52.750)	Prec@5 82.812 (82.066)
Epoch: [80][5400/14090]	Time 0.751 (0.751)	Data 0.001 (0.002)	Loss 1.4649 (1.7994)	Prec@1 65.625 (52.753)	Prec@5 87.500 (82.066)
Epoch: [80][5410/14090]	Time 0.753 (0.751)	Data 0.001 (0.002)	Loss 1.8673 (1.7994)	Prec@1 44.531 (52.749)	Prec@5 84.375 (82.066)
Epoch: [80][5420/14090]	Time 0.737 (0.751)	Data 0.001 (0.002)	Loss 1.7320 (1.7994)	Prec@1 54.688 (52.748)	Prec@5 82.812 (82.065)
Epoch: [80][5430/14090]	Time 0.735 (0.751)	Data 0.002 (0.002)	Loss 1.7590 (1.7995)	Prec@1 53.906 (52.745)	Prec@5 82.031 (82.063)
Epoch: [80][5440/14090]	Time 0.745 (0.751)	Data 0.001 (0.002)	Loss 2.0601 (1.7996)	Prec@1 48.438 (52.743)	Prec@5 75.000 (82.061)
Epoch: [80][5450/14090]	Time 0.756 (0.751)	Data 0.001 (0.002)	Loss 1.7624 (1.7996)	Prec@1 51.562 (52.744)	Prec@5 85.156 (82.062)
Epoch: [80][5460/14090]	Time 0.756 (0.751)	Data 0.001 (0.002)	Loss 1.6607 (1.7996)	Prec@1 59.375 (52.745)	Prec@5 84.375 (82.065)
Epoch: [80][5470/14090]	Time 0.734 (0.751)	Data 0.001 (0.002)	Loss 2.1444 (1.7995)	Prec@1 46.094 (52.743)	Prec@5 77.344 (82.066)
Epoch: [80][5480/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 1.7899 (1.7995)	Prec@1 54.688 (52.745)	Prec@5 81.250 (82.066)
Epoch: [80][5490/14090]	Time 0.744 (0.751)	Data 0.001 (0.002)	Loss 1.6154 (1.7996)	Prec@1 61.719 (52.742)	Prec@5 81.250 (82.062)
Epoch: [80][5500/14090]	Time 0.730 (0.751)	Data 0.002 (0.002)	Loss 1.6776 (1.7996)	Prec@1 50.781 (52.740)	Prec@5 83.594 (82.066)
Epoch: [80][5510/14090]	Time 0.756 (0.751)	Data 0.001 (0.002)	Loss 1.7077 (1.7996)	Prec@1 54.688 (52.738)	Prec@5 85.156 (82.064)
Epoch: [80][5520/14090]	Time 0.763 (0.751)	Data 0.001 (0.002)	Loss 1.7735 (1.7995)	Prec@1 52.344 (52.741)	Prec@5 83.594 (82.065)
Epoch: [80][5530/14090]	Time 0.748 (0.751)	Data 0.001 (0.002)	Loss 1.7017 (1.7995)	Prec@1 54.688 (52.742)	Prec@5 83.594 (82.066)
Epoch: [80][5540/14090]	Time 0.740 (0.751)	Data 0.001 (0.002)	Loss 1.8396 (1.7995)	Prec@1 50.781 (52.741)	Prec@5 78.906 (82.067)
Epoch: [80][5550/14090]	Time 0.745 (0.751)	Data 0.001 (0.002)	Loss 1.8604 (1.7994)	Prec@1 51.562 (52.743)	Prec@5 81.250 (82.068)
Epoch: [80][5560/14090]	Time 0.758 (0.751)	Data 0.001 (0.002)	Loss 1.9947 (1.7995)	Prec@1 46.875 (52.740)	Prec@5 82.031 (82.065)
Epoch: [80][5570/14090]	Time 0.743 (0.751)	Data 0.002 (0.002)	Loss 1.6091 (1.7996)	Prec@1 61.719 (52.740)	Prec@5 84.375 (82.065)
Epoch: [80][5580/14090]	Time 0.763 (0.751)	Data 0.001 (0.002)	Loss 1.7157 (1.7996)	Prec@1 49.219 (52.738)	Prec@5 85.156 (82.066)
Epoch: [80][5590/14090]	Time 0.736 (0.751)	Data 0.001 (0.002)	Loss 1.8383 (1.7997)	Prec@1 48.438 (52.733)	Prec@5 83.594 (82.067)
Epoch: [80][5600/14090]	Time 0.737 (0.751)	Data 0.001 (0.002)	Loss 1.6658 (1.7998)	Prec@1 55.469 (52.735)	Prec@5 82.812 (82.065)
Epoch: [80][5610/14090]	Time 0.760 (0.751)	Data 0.001 (0.002)	Loss 1.6735 (1.7998)	Prec@1 58.594 (52.737)	Prec@5 85.938 (82.064)
Epoch: [80][5620/14090]	Time 0.756 (0.751)	Data 0.001 (0.002)	Loss 1.8490 (1.7998)	Prec@1 47.656 (52.733)	Prec@5 79.688 (82.064)
Epoch: [80][5630/14090]	Time 0.737 (0.751)	Data 0.001 (0.002)	Loss 1.6598 (1.7999)	Prec@1 58.594 (52.732)	Prec@5 84.375 (82.065)
Epoch: [80][5640/14090]	Time 0.749 (0.751)	Data 0.002 (0.002)	Loss 1.5448 (1.7998)	Prec@1 58.594 (52.733)	Prec@5 87.500 (82.067)
Epoch: [80][5650/14090]	Time 0.763 (0.751)	Data 0.001 (0.002)	Loss 1.9848 (1.8000)	Prec@1 46.094 (52.727)	Prec@5 78.125 (82.063)
Epoch: [80][5660/14090]	Time 0.752 (0.751)	Data 0.001 (0.002)	Loss 1.6746 (1.7999)	Prec@1 53.125 (52.732)	Prec@5 87.500 (82.067)
Epoch: [80][5670/14090]	Time 0.757 (0.751)	Data 0.001 (0.002)	Loss 1.6834 (1.7999)	Prec@1 57.031 (52.730)	Prec@5 82.031 (82.067)
Epoch: [80][5680/14090]	Time 0.761 (0.751)	Data 0.001 (0.002)	Loss 1.5891 (1.7997)	Prec@1 55.469 (52.732)	Prec@5 83.594 (82.070)
Epoch: [80][5690/14090]	Time 0.768 (0.751)	Data 0.001 (0.002)	Loss 1.8879 (1.7997)	Prec@1 53.125 (52.731)	Prec@5 85.156 (82.070)
Epoch: [80][5700/14090]	Time 0.733 (0.751)	Data 0.001 (0.002)	Loss 1.6013 (1.7997)	Prec@1 53.906 (52.733)	Prec@5 89.062 (82.070)
Epoch: [80][5710/14090]	Time 0.746 (0.751)	Data 0.002 (0.002)	Loss 1.8975 (1.7999)	Prec@1 48.438 (52.727)	Prec@5 83.594 (82.069)
Epoch: [80][5720/14090]	Time 0.734 (0.751)	Data 0.001 (0.002)	Loss 1.7342 (1.7998)	Prec@1 55.469 (52.732)	Prec@5 85.938 (82.072)
Epoch: [80][5730/14090]	Time 0.777 (0.751)	Data 0.001 (0.002)	Loss 1.7097 (1.7997)	Prec@1 57.031 (52.731)	Prec@5 82.031 (82.074)
Epoch: [80][5740/14090]	Time 0.763 (0.751)	Data 0.001 (0.002)	Loss 1.9196 (1.7999)	Prec@1 51.562 (52.726)	Prec@5 80.469 (82.071)
Epoch: [80][5750/14090]	Time 0.734 (0.751)	Data 0.001 (0.002)	Loss 1.8202 (1.8000)	Prec@1 50.000 (52.722)	Prec@5 82.031 (82.070)
Epoch: [80][5760/14090]	Time 0.737 (0.751)	Data 0.001 (0.002)	Loss 2.0458 (1.8002)	Prec@1 43.750 (52.717)	Prec@5 77.344 (82.069)
Epoch: [80][5770/14090]	Time 0.750 (0.751)	Data 0.001 (0.002)	Loss 1.6900 (1.8002)	Prec@1 55.469 (52.716)	Prec@5 88.281 (82.071)
Epoch: [80][5780/14090]	Time 0.765 (0.751)	Data 0.002 (0.002)	Loss 2.0642 (1.8004)	Prec@1 45.312 (52.709)	Prec@5 81.250 (82.068)
Epoch: [80][5790/14090]	Time 0.736 (0.751)	Data 0.001 (0.002)	Loss 1.8464 (1.8003)	Prec@1 53.125 (52.712)	Prec@5 78.906 (82.068)
Epoch: [80][5800/14090]	Time 0.758 (0.751)	Data 0.001 (0.002)	Loss 1.6026 (1.8003)	Prec@1 54.688 (52.713)	Prec@5 85.938 (82.067)
Epoch: [80][5810/14090]	Time 0.757 (0.751)	Data 0.001 (0.002)	Loss 1.4814 (1.8004)	Prec@1 57.031 (52.714)	Prec@5 89.844 (82.068)
Epoch: [80][5820/14090]	Time 0.762 (0.751)	Data 0.001 (0.002)	Loss 1.8343 (1.8004)	Prec@1 55.469 (52.712)	Prec@5 80.469 (82.067)
Epoch: [80][5830/14090]	Time 0.752 (0.751)	Data 0.001 (0.002)	Loss 1.6329 (1.8005)	Prec@1 61.719 (52.711)	Prec@5 84.375 (82.065)
Epoch: [80][5840/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 1.7494 (1.8005)	Prec@1 50.781 (52.713)	Prec@5 87.500 (82.066)
Epoch: [80][5850/14090]	Time 0.754 (0.751)	Data 0.002 (0.002)	Loss 1.6678 (1.8005)	Prec@1 56.250 (52.716)	Prec@5 87.500 (82.067)
Epoch: [80][5860/14090]	Time 0.753 (0.751)	Data 0.001 (0.002)	Loss 1.9130 (1.8005)	Prec@1 48.438 (52.714)	Prec@5 81.250 (82.066)
Epoch: [80][5870/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 1.8616 (1.8005)	Prec@1 53.906 (52.713)	Prec@5 79.688 (82.064)
Epoch: [80][5880/14090]	Time 0.740 (0.751)	Data 0.001 (0.002)	Loss 1.8867 (1.8005)	Prec@1 50.000 (52.714)	Prec@5 82.812 (82.066)
Epoch: [80][5890/14090]	Time 0.769 (0.751)	Data 0.001 (0.002)	Loss 1.8722 (1.8006)	Prec@1 46.094 (52.710)	Prec@5 81.250 (82.062)
Epoch: [80][5900/14090]	Time 0.760 (0.751)	Data 0.001 (0.002)	Loss 1.8978 (1.8006)	Prec@1 53.125 (52.710)	Prec@5 81.250 (82.061)
Epoch: [80][5910/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 1.9472 (1.8005)	Prec@1 47.656 (52.713)	Prec@5 82.812 (82.062)
Epoch: [80][5920/14090]	Time 0.749 (0.751)	Data 0.002 (0.002)	Loss 1.8917 (1.8006)	Prec@1 46.094 (52.711)	Prec@5 80.469 (82.061)
Epoch: [80][5930/14090]	Time 0.759 (0.751)	Data 0.001 (0.002)	Loss 1.6818 (1.8006)	Prec@1 50.781 (52.709)	Prec@5 85.156 (82.062)
Epoch: [80][5940/14090]	Time 0.731 (0.751)	Data 0.001 (0.002)	Loss 1.7724 (1.8006)	Prec@1 50.000 (52.708)	Prec@5 85.156 (82.061)
Epoch: [80][5950/14090]	Time 0.752 (0.751)	Data 0.001 (0.002)	Loss 1.9927 (1.8006)	Prec@1 45.312 (52.712)	Prec@5 80.469 (82.062)
Epoch: [80][5960/14090]	Time 0.744 (0.751)	Data 0.001 (0.002)	Loss 1.8028 (1.8007)	Prec@1 52.344 (52.710)	Prec@5 78.125 (82.061)
Epoch: [80][5970/14090]	Time 0.756 (0.751)	Data 0.001 (0.002)	Loss 2.0521 (1.8007)	Prec@1 46.094 (52.709)	Prec@5 79.688 (82.060)
Epoch: [80][5980/14090]	Time 0.741 (0.751)	Data 0.001 (0.002)	Loss 1.8940 (1.8009)	Prec@1 53.125 (52.705)	Prec@5 81.250 (82.058)
Epoch: [80][5990/14090]	Time 0.790 (0.751)	Data 0.002 (0.002)	Loss 1.8967 (1.8008)	Prec@1 49.219 (52.705)	Prec@5 78.906 (82.059)
Epoch: [80][6000/14090]	Time 0.758 (0.751)	Data 0.001 (0.002)	Loss 1.6819 (1.8008)	Prec@1 57.031 (52.706)	Prec@5 82.031 (82.057)
Epoch: [80][6010/14090]	Time 0.777 (0.751)	Data 0.001 (0.002)	Loss 1.5284 (1.8007)	Prec@1 61.719 (52.706)	Prec@5 82.031 (82.057)
Epoch: [80][6020/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 1.7023 (1.8007)	Prec@1 57.031 (52.710)	Prec@5 85.938 (82.058)
Epoch: [80][6030/14090]	Time 0.735 (0.751)	Data 0.001 (0.002)	Loss 2.0518 (1.8008)	Prec@1 51.562 (52.707)	Prec@5 75.781 (82.055)
Epoch: [80][6040/14090]	Time 0.737 (0.751)	Data 0.001 (0.002)	Loss 1.7605 (1.8009)	Prec@1 53.125 (52.707)	Prec@5 82.031 (82.054)
Epoch: [80][6050/14090]	Time 0.750 (0.751)	Data 0.001 (0.002)	Loss 1.7130 (1.8008)	Prec@1 56.250 (52.709)	Prec@5 82.031 (82.054)
Epoch: [80][6060/14090]	Time 0.765 (0.751)	Data 0.002 (0.002)	Loss 1.6868 (1.8008)	Prec@1 53.906 (52.709)	Prec@5 85.156 (82.057)
Epoch: [80][6070/14090]	Time 0.742 (0.751)	Data 0.001 (0.002)	Loss 1.8903 (1.8006)	Prec@1 50.000 (52.714)	Prec@5 85.156 (82.063)
Epoch: [80][6080/14090]	Time 0.725 (0.751)	Data 0.001 (0.002)	Loss 1.6097 (1.8005)	Prec@1 57.812 (52.718)	Prec@5 88.281 (82.065)
Epoch: [80][6090/14090]	Time 0.760 (0.751)	Data 0.001 (0.002)	Loss 1.9955 (1.8005)	Prec@1 48.438 (52.719)	Prec@5 75.781 (82.063)
Epoch: [80][6100/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 1.6425 (1.8005)	Prec@1 56.250 (52.717)	Prec@5 85.156 (82.064)
Epoch: [80][6110/14090]	Time 0.731 (0.751)	Data 0.001 (0.002)	Loss 1.6597 (1.8005)	Prec@1 57.812 (52.718)	Prec@5 85.156 (82.064)
Epoch: [80][6120/14090]	Time 0.752 (0.751)	Data 0.001 (0.002)	Loss 1.9328 (1.8005)	Prec@1 51.562 (52.716)	Prec@5 85.156 (82.065)
Epoch: [80][6130/14090]	Time 0.771 (0.751)	Data 0.002 (0.002)	Loss 1.6445 (1.8005)	Prec@1 52.344 (52.716)	Prec@5 86.719 (82.067)
Epoch: [80][6140/14090]	Time 0.746 (0.751)	Data 0.001 (0.002)	Loss 1.9229 (1.8005)	Prec@1 53.906 (52.716)	Prec@5 78.906 (82.064)
Epoch: [80][6150/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 1.8579 (1.8004)	Prec@1 49.219 (52.720)	Prec@5 84.375 (82.065)
Epoch: [80][6160/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 1.8185 (1.8005)	Prec@1 51.562 (52.720)	Prec@5 81.250 (82.064)
Epoch: [80][6170/14090]	Time 0.767 (0.751)	Data 0.001 (0.002)	Loss 1.4866 (1.8004)	Prec@1 61.719 (52.721)	Prec@5 84.375 (82.063)
Epoch: [80][6180/14090]	Time 0.750 (0.751)	Data 0.001 (0.002)	Loss 1.9621 (1.8005)	Prec@1 49.219 (52.721)	Prec@5 78.125 (82.060)
Epoch: [80][6190/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 1.4215 (1.8003)	Prec@1 60.156 (52.723)	Prec@5 87.500 (82.064)
Epoch: [80][6200/14090]	Time 0.753 (0.751)	Data 0.002 (0.002)	Loss 1.5372 (1.8002)	Prec@1 57.812 (52.724)	Prec@5 87.500 (82.067)
Epoch: [80][6210/14090]	Time 0.778 (0.751)	Data 0.001 (0.002)	Loss 1.7323 (1.8002)	Prec@1 48.438 (52.725)	Prec@5 84.375 (82.069)
Epoch: [80][6220/14090]	Time 0.733 (0.751)	Data 0.001 (0.002)	Loss 1.9982 (1.8003)	Prec@1 51.562 (52.722)	Prec@5 77.344 (82.066)
Epoch: [80][6230/14090]	Time 0.744 (0.751)	Data 0.001 (0.002)	Loss 1.8263 (1.8004)	Prec@1 53.906 (52.723)	Prec@5 82.031 (82.064)
Epoch: [80][6240/14090]	Time 0.746 (0.751)	Data 0.001 (0.002)	Loss 1.6345 (1.8004)	Prec@1 60.156 (52.723)	Prec@5 88.281 (82.065)
Epoch: [80][6250/14090]	Time 0.763 (0.751)	Data 0.001 (0.002)	Loss 1.9311 (1.8003)	Prec@1 53.125 (52.724)	Prec@5 79.688 (82.066)
Epoch: [80][6260/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 1.7736 (1.8003)	Prec@1 52.344 (52.722)	Prec@5 81.250 (82.067)
Epoch: [80][6270/14090]	Time 0.770 (0.751)	Data 0.002 (0.002)	Loss 1.9848 (1.8004)	Prec@1 45.312 (52.717)	Prec@5 82.031 (82.065)
Epoch: [80][6280/14090]	Time 0.738 (0.751)	Data 0.001 (0.002)	Loss 1.7960 (1.8004)	Prec@1 55.469 (52.717)	Prec@5 79.688 (82.061)
Epoch: [80][6290/14090]	Time 0.751 (0.751)	Data 0.001 (0.002)	Loss 1.6980 (1.8005)	Prec@1 56.250 (52.715)	Prec@5 81.250 (82.059)
Epoch: [80][6300/14090]	Time 0.742 (0.751)	Data 0.001 (0.002)	Loss 1.8172 (1.8006)	Prec@1 55.469 (52.713)	Prec@5 85.156 (82.057)
Epoch: [80][6310/14090]	Time 0.728 (0.751)	Data 0.001 (0.002)	Loss 1.8631 (1.8006)	Prec@1 53.125 (52.715)	Prec@5 80.469 (82.057)
Epoch: [80][6320/14090]	Time 0.742 (0.751)	Data 0.001 (0.002)	Loss 1.4251 (1.8005)	Prec@1 59.375 (52.718)	Prec@5 88.281 (82.058)
Epoch: [80][6330/14090]	Time 0.745 (0.751)	Data 0.001 (0.002)	Loss 2.0480 (1.8006)	Prec@1 48.438 (52.718)	Prec@5 76.562 (82.055)
Epoch: [80][6340/14090]	Time 0.746 (0.751)	Data 0.002 (0.002)	Loss 2.0159 (1.8007)	Prec@1 50.000 (52.716)	Prec@5 78.906 (82.054)
Epoch: [80][6350/14090]	Time 0.724 (0.751)	Data 0.001 (0.002)	Loss 1.6234 (1.8007)	Prec@1 58.594 (52.714)	Prec@5 85.938 (82.056)
Epoch: [80][6360/14090]	Time 0.740 (0.751)	Data 0.001 (0.002)	Loss 1.6499 (1.8007)	Prec@1 57.812 (52.715)	Prec@5 84.375 (82.057)
Epoch: [80][6370/14090]	Time 0.752 (0.751)	Data 0.001 (0.002)	Loss 1.5744 (1.8006)	Prec@1 60.156 (52.718)	Prec@5 84.375 (82.060)
Epoch: [80][6380/14090]	Time 0.734 (0.751)	Data 0.001 (0.002)	Loss 1.8808 (1.8007)	Prec@1 51.562 (52.716)	Prec@5 81.250 (82.057)
Epoch: [80][6390/14090]	Time 0.733 (0.751)	Data 0.001 (0.002)	Loss 1.7831 (1.8006)	Prec@1 57.031 (52.718)	Prec@5 79.688 (82.058)
Epoch: [80][6400/14090]	Time 0.746 (0.751)	Data 0.001 (0.002)	Loss 1.7363 (1.8007)	Prec@1 62.500 (52.717)	Prec@5 81.250 (82.058)
Epoch: [80][6410/14090]	Time 0.747 (0.751)	Data 0.002 (0.002)	Loss 1.8477 (1.8008)	Prec@1 49.219 (52.716)	Prec@5 81.250 (82.056)
Epoch: [80][6420/14090]	Time 0.757 (0.751)	Data 0.001 (0.002)	Loss 1.7714 (1.8007)	Prec@1 50.000 (52.716)	Prec@5 80.469 (82.056)
Epoch: [80][6430/14090]	Time 0.737 (0.751)	Data 0.001 (0.002)	Loss 1.7916 (1.8009)	Prec@1 53.906 (52.715)	Prec@5 83.594 (82.053)
Epoch: [80][6440/14090]	Time 0.741 (0.751)	Data 0.001 (0.002)	Loss 2.0944 (1.8010)	Prec@1 45.312 (52.714)	Prec@5 75.000 (82.051)
Epoch: [80][6450/14090]	Time 0.762 (0.751)	Data 0.001 (0.002)	Loss 1.7282 (1.8008)	Prec@1 54.688 (52.717)	Prec@5 83.594 (82.053)
Epoch: [80][6460/14090]	Time 0.751 (0.751)	Data 0.001 (0.002)	Loss 1.8167 (1.8008)	Prec@1 53.906 (52.718)	Prec@5 79.688 (82.053)
Epoch: [80][6470/14090]	Time 0.750 (0.751)	Data 0.001 (0.002)	Loss 1.5590 (1.8008)	Prec@1 56.250 (52.719)	Prec@5 85.156 (82.053)
Epoch: [80][6480/14090]	Time 0.750 (0.751)	Data 0.002 (0.002)	Loss 1.5443 (1.8007)	Prec@1 60.156 (52.719)	Prec@5 84.375 (82.054)
Epoch: [80][6490/14090]	Time 0.743 (0.751)	Data 0.001 (0.002)	Loss 1.7086 (1.8006)	Prec@1 53.125 (52.721)	Prec@5 82.812 (82.056)
Epoch: [80][6500/14090]	Time 0.737 (0.751)	Data 0.001 (0.002)	Loss 1.9653 (1.8008)	Prec@1 47.656 (52.716)	Prec@5 78.125 (82.054)
Epoch: [80][6510/14090]	Time 0.742 (0.751)	Data 0.001 (0.002)	Loss 1.7242 (1.8007)	Prec@1 53.125 (52.717)	Prec@5 85.156 (82.056)
Epoch: [80][6520/14090]	Time 0.732 (0.751)	Data 0.001 (0.002)	Loss 2.1259 (1.8008)	Prec@1 48.438 (52.715)	Prec@5 75.781 (82.056)
Epoch: [80][6530/14090]	Time 0.783 (0.751)	Data 0.001 (0.002)	Loss 1.9087 (1.8008)	Prec@1 51.562 (52.718)	Prec@5 79.688 (82.058)
Epoch: [80][6540/14090]	Time 0.738 (0.751)	Data 0.001 (0.002)	Loss 1.9981 (1.8009)	Prec@1 44.531 (52.715)	Prec@5 80.469 (82.058)
Epoch: [80][6550/14090]	Time 0.750 (0.751)	Data 0.002 (0.002)	Loss 1.9631 (1.8010)	Prec@1 51.562 (52.712)	Prec@5 72.656 (82.055)
Epoch: [80][6560/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 1.7246 (1.8011)	Prec@1 54.688 (52.711)	Prec@5 82.031 (82.054)
Epoch: [80][6570/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 1.9295 (1.8012)	Prec@1 53.125 (52.710)	Prec@5 80.469 (82.055)
Epoch: [80][6580/14090]	Time 0.753 (0.751)	Data 0.001 (0.002)	Loss 2.0285 (1.8010)	Prec@1 50.000 (52.713)	Prec@5 79.688 (82.059)
Epoch: [80][6590/14090]	Time 0.746 (0.751)	Data 0.001 (0.002)	Loss 1.8011 (1.8011)	Prec@1 52.344 (52.712)	Prec@5 83.594 (82.059)
Epoch: [80][6600/14090]	Time 0.733 (0.751)	Data 0.001 (0.002)	Loss 1.5496 (1.8010)	Prec@1 60.938 (52.716)	Prec@5 81.250 (82.060)
Epoch: [80][6610/14090]	Time 0.733 (0.751)	Data 0.001 (0.002)	Loss 1.7994 (1.8010)	Prec@1 57.031 (52.717)	Prec@5 82.812 (82.060)
Epoch: [80][6620/14090]	Time 0.729 (0.751)	Data 0.002 (0.002)	Loss 1.9623 (1.8009)	Prec@1 53.125 (52.717)	Prec@5 79.688 (82.062)
Epoch: [80][6630/14090]	Time 0.756 (0.751)	Data 0.001 (0.002)	Loss 1.8487 (1.8008)	Prec@1 50.000 (52.721)	Prec@5 81.250 (82.065)
Epoch: [80][6640/14090]	Time 0.751 (0.751)	Data 0.001 (0.002)	Loss 1.6288 (1.8008)	Prec@1 55.469 (52.721)	Prec@5 87.500 (82.064)
Epoch: [80][6650/14090]	Time 0.757 (0.751)	Data 0.001 (0.002)	Loss 1.9135 (1.8008)	Prec@1 49.219 (52.720)	Prec@5 80.469 (82.063)
Epoch: [80][6660/14090]	Time 0.749 (0.751)	Data 0.001 (0.002)	Loss 1.9793 (1.8008)	Prec@1 49.219 (52.720)	Prec@5 78.125 (82.061)
Epoch: [80][6670/14090]	Time 0.751 (0.751)	Data 0.001 (0.002)	Loss 1.8274 (1.8007)	Prec@1 43.750 (52.720)	Prec@5 82.812 (82.064)
Epoch: [80][6680/14090]	Time 0.735 (0.751)	Data 0.001 (0.002)	Loss 1.8522 (1.8008)	Prec@1 50.781 (52.717)	Prec@5 80.469 (82.062)
Epoch: [80][6690/14090]	Time 0.779 (0.751)	Data 0.002 (0.002)	Loss 1.9067 (1.8010)	Prec@1 46.094 (52.713)	Prec@5 81.250 (82.061)
Epoch: [80][6700/14090]	Time 0.733 (0.751)	Data 0.001 (0.002)	Loss 1.9738 (1.8010)	Prec@1 44.531 (52.710)	Prec@5 78.125 (82.059)
Epoch: [80][6710/14090]	Time 0.746 (0.751)	Data 0.001 (0.002)	Loss 1.7276 (1.8009)	Prec@1 57.812 (52.712)	Prec@5 82.812 (82.062)
Epoch: [80][6720/14090]	Time 0.730 (0.751)	Data 0.001 (0.002)	Loss 1.7033 (1.8009)	Prec@1 53.125 (52.714)	Prec@5 82.812 (82.060)
Epoch: [80][6730/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 1.8836 (1.8009)	Prec@1 48.438 (52.713)	Prec@5 80.469 (82.060)
Epoch: [80][6740/14090]	Time 0.770 (0.750)	Data 0.001 (0.002)	Loss 2.0315 (1.8009)	Prec@1 50.781 (52.713)	Prec@5 81.250 (82.059)
Epoch: [80][6750/14090]	Time 0.745 (0.750)	Data 0.001 (0.002)	Loss 1.5877 (1.8010)	Prec@1 56.250 (52.712)	Prec@5 84.375 (82.058)
Epoch: [80][6760/14090]	Time 0.734 (0.750)	Data 0.002 (0.002)	Loss 1.7838 (1.8011)	Prec@1 56.250 (52.712)	Prec@5 82.812 (82.056)
Epoch: [80][6770/14090]	Time 0.763 (0.750)	Data 0.001 (0.002)	Loss 1.9217 (1.8011)	Prec@1 57.812 (52.709)	Prec@5 79.688 (82.055)
Epoch: [80][6780/14090]	Time 0.788 (0.750)	Data 0.001 (0.002)	Loss 2.0034 (1.8012)	Prec@1 54.688 (52.710)	Prec@5 75.781 (82.056)
Epoch: [80][6790/14090]	Time 0.757 (0.751)	Data 0.001 (0.002)	Loss 2.0648 (1.8012)	Prec@1 44.531 (52.712)	Prec@5 79.688 (82.055)
Epoch: [80][6800/14090]	Time 0.744 (0.751)	Data 0.001 (0.002)	Loss 1.7157 (1.8012)	Prec@1 52.344 (52.715)	Prec@5 85.156 (82.055)
Epoch: [80][6810/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 1.8496 (1.8012)	Prec@1 53.125 (52.716)	Prec@5 78.906 (82.057)
Epoch: [80][6820/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 1.7310 (1.8012)	Prec@1 50.000 (52.715)	Prec@5 84.375 (82.055)
Epoch: [80][6830/14090]	Time 0.763 (0.751)	Data 0.002 (0.002)	Loss 2.0195 (1.8012)	Prec@1 44.531 (52.717)	Prec@5 78.125 (82.056)
Epoch: [80][6840/14090]	Time 0.738 (0.751)	Data 0.001 (0.002)	Loss 1.6344 (1.8012)	Prec@1 52.344 (52.719)	Prec@5 86.719 (82.055)
Epoch: [80][6850/14090]	Time 0.758 (0.751)	Data 0.001 (0.002)	Loss 1.7885 (1.8011)	Prec@1 57.812 (52.719)	Prec@5 82.031 (82.056)
Epoch: [80][6860/14090]	Time 0.722 (0.751)	Data 0.001 (0.002)	Loss 1.7622 (1.8010)	Prec@1 50.781 (52.721)	Prec@5 83.594 (82.058)
Epoch: [80][6870/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 1.8712 (1.8011)	Prec@1 46.875 (52.718)	Prec@5 81.250 (82.059)
Epoch: [80][6880/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 1.7553 (1.8011)	Prec@1 54.688 (52.718)	Prec@5 79.688 (82.058)
Epoch: [80][6890/14090]	Time 0.746 (0.751)	Data 0.001 (0.002)	Loss 1.6950 (1.8011)	Prec@1 50.000 (52.717)	Prec@5 81.250 (82.057)
Epoch: [80][6900/14090]	Time 0.729 (0.751)	Data 0.002 (0.002)	Loss 1.8578 (1.8012)	Prec@1 53.125 (52.716)	Prec@5 82.812 (82.056)
Epoch: [80][6910/14090]	Time 0.742 (0.751)	Data 0.001 (0.002)	Loss 1.6562 (1.8012)	Prec@1 55.469 (52.716)	Prec@5 85.156 (82.056)
Epoch: [80][6920/14090]	Time 0.745 (0.751)	Data 0.001 (0.002)	Loss 2.1598 (1.8013)	Prec@1 47.656 (52.716)	Prec@5 75.781 (82.056)
Epoch: [80][6930/14090]	Time 0.759 (0.751)	Data 0.001 (0.002)	Loss 1.6235 (1.8012)	Prec@1 54.688 (52.718)	Prec@5 89.062 (82.059)
Epoch: [80][6940/14090]	Time 0.743 (0.751)	Data 0.001 (0.002)	Loss 1.6057 (1.8012)	Prec@1 61.719 (52.717)	Prec@5 83.594 (82.060)
Epoch: [80][6950/14090]	Time 0.742 (0.751)	Data 0.001 (0.002)	Loss 1.5050 (1.8012)	Prec@1 65.625 (52.717)	Prec@5 87.500 (82.060)
Epoch: [80][6960/14090]	Time 0.729 (0.751)	Data 0.001 (0.002)	Loss 1.8508 (1.8012)	Prec@1 53.906 (52.718)	Prec@5 85.156 (82.061)
Epoch: [80][6970/14090]	Time 0.745 (0.750)	Data 0.002 (0.002)	Loss 1.6185 (1.8012)	Prec@1 54.688 (52.718)	Prec@5 83.594 (82.061)
Epoch: [80][6980/14090]	Time 0.736 (0.750)	Data 0.001 (0.002)	Loss 1.7131 (1.8011)	Prec@1 55.469 (52.719)	Prec@5 82.812 (82.061)
Epoch: [80][6990/14090]	Time 0.777 (0.750)	Data 0.001 (0.002)	Loss 1.9126 (1.8011)	Prec@1 46.875 (52.721)	Prec@5 79.688 (82.062)
Epoch: [80][7000/14090]	Time 0.741 (0.750)	Data 0.001 (0.002)	Loss 2.0302 (1.8013)	Prec@1 48.438 (52.719)	Prec@5 72.656 (82.056)
Epoch: [80][7010/14090]	Time 0.729 (0.750)	Data 0.001 (0.002)	Loss 1.9614 (1.8013)	Prec@1 46.875 (52.715)	Prec@5 81.250 (82.055)
Epoch: [80][7020/14090]	Time 0.735 (0.750)	Data 0.001 (0.002)	Loss 1.7192 (1.8014)	Prec@1 52.344 (52.715)	Prec@5 82.812 (82.055)
Epoch: [80][7030/14090]	Time 0.757 (0.750)	Data 0.001 (0.002)	Loss 1.6870 (1.8014)	Prec@1 58.594 (52.713)	Prec@5 80.469 (82.053)
Epoch: [80][7040/14090]	Time 0.750 (0.750)	Data 0.002 (0.002)	Loss 1.8103 (1.8015)	Prec@1 57.031 (52.713)	Prec@5 82.812 (82.055)
Epoch: [80][7050/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 1.9392 (1.8014)	Prec@1 49.219 (52.712)	Prec@5 81.250 (82.056)
Epoch: [80][7060/14090]	Time 0.775 (0.750)	Data 0.001 (0.002)	Loss 1.5790 (1.8015)	Prec@1 57.812 (52.712)	Prec@5 80.469 (82.053)
Epoch: [80][7070/14090]	Time 0.751 (0.750)	Data 0.001 (0.002)	Loss 1.9152 (1.8015)	Prec@1 55.469 (52.716)	Prec@5 82.031 (82.053)
Epoch: [80][7080/14090]	Time 0.765 (0.750)	Data 0.001 (0.002)	Loss 1.8735 (1.8014)	Prec@1 56.250 (52.717)	Prec@5 79.688 (82.055)
Epoch: [80][7090/14090]	Time 0.772 (0.750)	Data 0.001 (0.002)	Loss 2.0325 (1.8015)	Prec@1 50.000 (52.718)	Prec@5 79.688 (82.053)
Epoch: [80][7100/14090]	Time 0.738 (0.750)	Data 0.001 (0.002)	Loss 1.7590 (1.8014)	Prec@1 54.688 (52.718)	Prec@5 85.938 (82.055)
Epoch: [80][7110/14090]	Time 0.759 (0.750)	Data 0.002 (0.002)	Loss 1.5497 (1.8014)	Prec@1 57.812 (52.717)	Prec@5 87.500 (82.056)
Epoch: [80][7120/14090]	Time 0.746 (0.750)	Data 0.001 (0.002)	Loss 1.6867 (1.8015)	Prec@1 60.156 (52.716)	Prec@5 82.812 (82.053)
Epoch: [80][7130/14090]	Time 0.738 (0.750)	Data 0.001 (0.002)	Loss 2.0093 (1.8015)	Prec@1 43.750 (52.713)	Prec@5 81.250 (82.052)
Epoch: [80][7140/14090]	Time 0.779 (0.750)	Data 0.001 (0.002)	Loss 2.0390 (1.8017)	Prec@1 46.875 (52.707)	Prec@5 80.469 (82.051)
Epoch: [80][7150/14090]	Time 0.754 (0.750)	Data 0.001 (0.002)	Loss 1.7858 (1.8018)	Prec@1 51.562 (52.705)	Prec@5 81.250 (82.050)
Epoch: [80][7160/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 1.7675 (1.8019)	Prec@1 50.781 (52.705)	Prec@5 77.344 (82.047)
Epoch: [80][7170/14090]	Time 0.751 (0.750)	Data 0.001 (0.002)	Loss 1.8779 (1.8018)	Prec@1 50.781 (52.706)	Prec@5 80.469 (82.047)
Epoch: [80][7180/14090]	Time 0.761 (0.750)	Data 0.002 (0.002)	Loss 1.8896 (1.8018)	Prec@1 54.688 (52.707)	Prec@5 78.906 (82.047)
Epoch: [80][7190/14090]	Time 0.761 (0.750)	Data 0.001 (0.002)	Loss 1.5613 (1.8018)	Prec@1 58.594 (52.707)	Prec@5 85.156 (82.046)
Epoch: [80][7200/14090]	Time 0.744 (0.750)	Data 0.001 (0.002)	Loss 1.5910 (1.8017)	Prec@1 53.906 (52.710)	Prec@5 85.156 (82.047)
Epoch: [80][7210/14090]	Time 0.734 (0.750)	Data 0.001 (0.002)	Loss 1.5972 (1.8018)	Prec@1 57.031 (52.710)	Prec@5 84.375 (82.046)
Epoch: [80][7220/14090]	Time 0.737 (0.750)	Data 0.001 (0.002)	Loss 1.9072 (1.8018)	Prec@1 49.219 (52.710)	Prec@5 75.000 (82.045)
Epoch: [80][7230/14090]	Time 0.759 (0.750)	Data 0.001 (0.002)	Loss 1.6886 (1.8018)	Prec@1 55.469 (52.708)	Prec@5 85.156 (82.043)
Epoch: [80][7240/14090]	Time 0.748 (0.750)	Data 0.001 (0.002)	Loss 2.0438 (1.8019)	Prec@1 47.656 (52.705)	Prec@5 75.781 (82.040)
Epoch: [80][7250/14090]	Time 0.760 (0.750)	Data 0.002 (0.002)	Loss 1.7848 (1.8020)	Prec@1 60.156 (52.704)	Prec@5 81.250 (82.039)
Epoch: [80][7260/14090]	Time 0.737 (0.750)	Data 0.001 (0.002)	Loss 2.1538 (1.8021)	Prec@1 50.000 (52.702)	Prec@5 77.344 (82.038)
Epoch: [80][7270/14090]	Time 0.735 (0.750)	Data 0.001 (0.002)	Loss 1.8283 (1.8021)	Prec@1 53.125 (52.703)	Prec@5 85.156 (82.039)
Epoch: [80][7280/14090]	Time 0.759 (0.750)	Data 0.001 (0.002)	Loss 1.7242 (1.8022)	Prec@1 48.438 (52.702)	Prec@5 80.469 (82.035)
Epoch: [80][7290/14090]	Time 0.731 (0.750)	Data 0.001 (0.002)	Loss 1.7123 (1.8021)	Prec@1 54.688 (52.702)	Prec@5 84.375 (82.038)
Epoch: [80][7300/14090]	Time 0.753 (0.750)	Data 0.001 (0.002)	Loss 1.8221 (1.8022)	Prec@1 52.344 (52.702)	Prec@5 82.812 (82.037)
Epoch: [80][7310/14090]	Time 0.768 (0.750)	Data 0.001 (0.002)	Loss 1.8235 (1.8021)	Prec@1 57.031 (52.705)	Prec@5 78.906 (82.037)
Epoch: [80][7320/14090]	Time 0.733 (0.750)	Data 0.002 (0.002)	Loss 1.9035 (1.8021)	Prec@1 52.344 (52.705)	Prec@5 79.688 (82.037)
Epoch: [80][7330/14090]	Time 0.747 (0.750)	Data 0.001 (0.002)	Loss 2.0484 (1.8022)	Prec@1 46.094 (52.704)	Prec@5 75.781 (82.035)
Epoch: [80][7340/14090]	Time 0.743 (0.750)	Data 0.001 (0.002)	Loss 1.8730 (1.8022)	Prec@1 50.000 (52.706)	Prec@5 81.250 (82.035)
Epoch: [80][7350/14090]	Time 0.751 (0.750)	Data 0.001 (0.002)	Loss 1.8454 (1.8022)	Prec@1 53.125 (52.705)	Prec@5 78.906 (82.033)
Epoch: [80][7360/14090]	Time 0.776 (0.750)	Data 0.001 (0.002)	Loss 1.5642 (1.8022)	Prec@1 60.938 (52.706)	Prec@5 84.375 (82.032)
Epoch: [80][7370/14090]	Time 0.739 (0.750)	Data 0.001 (0.002)	Loss 2.0494 (1.8024)	Prec@1 42.969 (52.700)	Prec@5 81.250 (82.029)
Epoch: [80][7380/14090]	Time 0.763 (0.750)	Data 0.001 (0.002)	Loss 2.2055 (1.8025)	Prec@1 45.312 (52.698)	Prec@5 75.781 (82.028)
Epoch: [80][7390/14090]	Time 0.745 (0.750)	Data 0.002 (0.002)	Loss 2.0558 (1.8025)	Prec@1 47.656 (52.698)	Prec@5 77.344 (82.027)
Epoch: [80][7400/14090]	Time 0.721 (0.750)	Data 0.001 (0.002)	Loss 1.9417 (1.8024)	Prec@1 48.438 (52.700)	Prec@5 79.688 (82.029)
Epoch: [80][7410/14090]	Time 0.759 (0.750)	Data 0.001 (0.002)	Loss 1.9779 (1.8025)	Prec@1 50.000 (52.700)	Prec@5 82.031 (82.029)
Epoch: [80][7420/14090]	Time 0.726 (0.750)	Data 0.001 (0.002)	Loss 1.7674 (1.8024)	Prec@1 56.250 (52.700)	Prec@5 80.469 (82.030)
Epoch: [80][7430/14090]	Time 0.727 (0.750)	Data 0.001 (0.002)	Loss 1.5566 (1.8023)	Prec@1 55.469 (52.701)	Prec@5 86.719 (82.033)
Epoch: [80][7440/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 1.6912 (1.8023)	Prec@1 48.438 (52.700)	Prec@5 82.031 (82.033)
Epoch: [80][7450/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 1.9162 (1.8024)	Prec@1 50.000 (52.697)	Prec@5 81.250 (82.031)
Epoch: [80][7460/14090]	Time 0.735 (0.750)	Data 0.002 (0.002)	Loss 1.6474 (1.8024)	Prec@1 54.688 (52.696)	Prec@5 82.812 (82.029)
Epoch: [80][7470/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 2.1414 (1.8024)	Prec@1 39.062 (52.694)	Prec@5 77.344 (82.028)
Epoch: [80][7480/14090]	Time 0.742 (0.750)	Data 0.001 (0.002)	Loss 1.6527 (1.8024)	Prec@1 52.344 (52.693)	Prec@5 87.500 (82.029)
Epoch: [80][7490/14090]	Time 0.751 (0.750)	Data 0.001 (0.002)	Loss 1.7495 (1.8024)	Prec@1 53.906 (52.692)	Prec@5 79.688 (82.030)
Epoch: [80][7500/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 1.6650 (1.8024)	Prec@1 54.688 (52.692)	Prec@5 86.719 (82.028)
Epoch: [80][7510/14090]	Time 0.758 (0.750)	Data 0.001 (0.002)	Loss 1.7659 (1.8024)	Prec@1 57.812 (52.693)	Prec@5 79.688 (82.028)
Epoch: [80][7520/14090]	Time 0.754 (0.750)	Data 0.001 (0.002)	Loss 1.8735 (1.8025)	Prec@1 46.875 (52.691)	Prec@5 82.031 (82.026)
Epoch: [80][7530/14090]	Time 0.761 (0.750)	Data 0.002 (0.002)	Loss 1.9386 (1.8025)	Prec@1 47.656 (52.691)	Prec@5 78.906 (82.025)
Epoch: [80][7540/14090]	Time 0.781 (0.750)	Data 0.001 (0.002)	Loss 1.6210 (1.8025)	Prec@1 59.375 (52.691)	Prec@5 82.031 (82.024)
Epoch: [80][7550/14090]	Time 0.724 (0.750)	Data 0.001 (0.001)	Loss 1.9087 (1.8026)	Prec@1 55.469 (52.690)	Prec@5 79.688 (82.021)
Epoch: [80][7560/14090]	Time 0.737 (0.750)	Data 0.001 (0.001)	Loss 1.8121 (1.8027)	Prec@1 47.656 (52.686)	Prec@5 83.594 (82.020)
Epoch: [80][7570/14090]	Time 0.740 (0.750)	Data 0.001 (0.001)	Loss 1.9865 (1.8027)	Prec@1 50.000 (52.683)	Prec@5 78.125 (82.019)
Epoch: [80][7580/14090]	Time 0.733 (0.750)	Data 0.001 (0.001)	Loss 1.8808 (1.8027)	Prec@1 50.000 (52.685)	Prec@5 79.688 (82.020)
Epoch: [80][7590/14090]	Time 0.747 (0.750)	Data 0.001 (0.001)	Loss 1.6294 (1.8026)	Prec@1 57.031 (52.685)	Prec@5 84.375 (82.020)
Epoch: [80][7600/14090]	Time 0.752 (0.750)	Data 0.002 (0.001)	Loss 1.7560 (1.8025)	Prec@1 56.250 (52.689)	Prec@5 85.156 (82.022)
Epoch: [80][7610/14090]	Time 0.754 (0.750)	Data 0.001 (0.001)	Loss 1.8257 (1.8026)	Prec@1 55.469 (52.688)	Prec@5 85.156 (82.022)
Epoch: [80][7620/14090]	Time 0.747 (0.750)	Data 0.001 (0.001)	Loss 1.8552 (1.8026)	Prec@1 54.688 (52.688)	Prec@5 78.125 (82.021)
Epoch: [80][7630/14090]	Time 0.736 (0.750)	Data 0.001 (0.001)	Loss 2.0338 (1.8026)	Prec@1 50.000 (52.688)	Prec@5 79.688 (82.022)
Epoch: [80][7640/14090]	Time 0.781 (0.750)	Data 0.001 (0.001)	Loss 1.8089 (1.8027)	Prec@1 46.094 (52.687)	Prec@5 87.500 (82.019)
Epoch: [80][7650/14090]	Time 0.733 (0.750)	Data 0.001 (0.001)	Loss 1.4420 (1.8026)	Prec@1 62.500 (52.692)	Prec@5 87.500 (82.020)
Epoch: [80][7660/14090]	Time 0.749 (0.750)	Data 0.001 (0.001)	Loss 1.8076 (1.8027)	Prec@1 54.688 (52.690)	Prec@5 85.156 (82.019)
Epoch: [80][7670/14090]	Time 0.731 (0.750)	Data 0.002 (0.001)	Loss 1.7644 (1.8026)	Prec@1 52.344 (52.691)	Prec@5 80.469 (82.021)
Epoch: [80][7680/14090]	Time 0.744 (0.750)	Data 0.001 (0.001)	Loss 1.8479 (1.8027)	Prec@1 51.562 (52.690)	Prec@5 76.562 (82.019)
Epoch: [80][7690/14090]	Time 0.739 (0.750)	Data 0.001 (0.001)	Loss 1.8106 (1.8027)	Prec@1 55.469 (52.691)	Prec@5 80.469 (82.020)
Epoch: [80][7700/14090]	Time 0.772 (0.750)	Data 0.001 (0.001)	Loss 1.8620 (1.8027)	Prec@1 47.656 (52.688)	Prec@5 79.688 (82.019)
Epoch: [80][7710/14090]	Time 0.752 (0.750)	Data 0.002 (0.001)	Loss 1.9956 (1.8028)	Prec@1 50.781 (52.689)	Prec@5 79.688 (82.018)
Epoch: [80][7720/14090]	Time 0.728 (0.750)	Data 0.001 (0.001)	Loss 1.7190 (1.8028)	Prec@1 59.375 (52.689)	Prec@5 81.250 (82.020)
Epoch: [80][7730/14090]	Time 0.748 (0.750)	Data 0.001 (0.001)	Loss 1.7589 (1.8028)	Prec@1 52.344 (52.688)	Prec@5 82.031 (82.020)
Epoch: [80][7740/14090]	Time 0.761 (0.750)	Data 0.002 (0.001)	Loss 1.5260 (1.8028)	Prec@1 56.250 (52.688)	Prec@5 88.281 (82.022)
Epoch: [80][7750/14090]	Time 0.739 (0.750)	Data 0.001 (0.001)	Loss 2.1333 (1.8028)	Prec@1 42.188 (52.687)	Prec@5 76.562 (82.023)
Epoch: [80][7760/14090]	Time 0.751 (0.750)	Data 0.001 (0.001)	Loss 1.7070 (1.8028)	Prec@1 54.688 (52.688)	Prec@5 84.375 (82.023)
Epoch: [80][7770/14090]	Time 0.754 (0.750)	Data 0.001 (0.001)	Loss 1.8285 (1.8028)	Prec@1 54.688 (52.687)	Prec@5 85.156 (82.022)
Epoch: [80][7780/14090]	Time 0.764 (0.750)	Data 0.001 (0.001)	Loss 1.9222 (1.8029)	Prec@1 50.781 (52.688)	Prec@5 81.250 (82.021)
Epoch: [80][7790/14090]	Time 0.732 (0.750)	Data 0.001 (0.001)	Loss 1.7832 (1.8029)	Prec@1 50.781 (52.687)	Prec@5 82.812 (82.021)
Epoch: [80][7800/14090]	Time 0.764 (0.750)	Data 0.001 (0.001)	Loss 1.5973 (1.8029)	Prec@1 56.250 (52.689)	Prec@5 89.844 (82.021)
Epoch: [80][7810/14090]	Time 0.754 (0.750)	Data 0.002 (0.001)	Loss 1.6881 (1.8029)	Prec@1 53.125 (52.687)	Prec@5 82.812 (82.019)
Epoch: [80][7820/14090]	Time 0.741 (0.750)	Data 0.001 (0.001)	Loss 2.0218 (1.8030)	Prec@1 46.094 (52.688)	Prec@5 78.906 (82.018)
Epoch: [80][7830/14090]	Time 0.745 (0.750)	Data 0.001 (0.001)	Loss 1.6299 (1.8030)	Prec@1 57.031 (52.689)	Prec@5 85.938 (82.019)
Epoch: [80][7840/14090]	Time 0.749 (0.750)	Data 0.001 (0.001)	Loss 1.7512 (1.8029)	Prec@1 53.906 (52.689)	Prec@5 78.906 (82.019)
Epoch: [80][7850/14090]	Time 0.766 (0.750)	Data 0.001 (0.001)	Loss 1.6527 (1.8028)	Prec@1 53.906 (52.690)	Prec@5 85.156 (82.020)
Epoch: [80][7860/14090]	Time 0.779 (0.750)	Data 0.001 (0.001)	Loss 1.9798 (1.8028)	Prec@1 50.781 (52.690)	Prec@5 79.688 (82.020)
Epoch: [80][7870/14090]	Time 0.740 (0.750)	Data 0.001 (0.001)	Loss 1.6702 (1.8029)	Prec@1 56.250 (52.689)	Prec@5 85.938 (82.019)
Epoch: [80][7880/14090]	Time 0.752 (0.750)	Data 0.002 (0.001)	Loss 1.7207 (1.8029)	Prec@1 50.781 (52.689)	Prec@5 82.812 (82.020)
Epoch: [80][7890/14090]	Time 0.736 (0.750)	Data 0.001 (0.001)	Loss 2.1898 (1.8029)	Prec@1 48.438 (52.688)	Prec@5 75.781 (82.021)
Epoch: [80][7900/14090]	Time 0.731 (0.750)	Data 0.001 (0.001)	Loss 1.8134 (1.8030)	Prec@1 46.094 (52.684)	Prec@5 82.812 (82.019)
Epoch: [80][7910/14090]	Time 0.778 (0.750)	Data 0.001 (0.001)	Loss 1.9417 (1.8030)	Prec@1 50.000 (52.683)	Prec@5 83.594 (82.020)
Epoch: [80][7920/14090]	Time 0.732 (0.750)	Data 0.001 (0.001)	Loss 1.7440 (1.8031)	Prec@1 57.812 (52.680)	Prec@5 81.250 (82.020)
Epoch: [80][7930/14090]	Time 0.769 (0.750)	Data 0.001 (0.001)	Loss 1.7149 (1.8030)	Prec@1 52.344 (52.682)	Prec@5 84.375 (82.021)
Epoch: [80][7940/14090]	Time 0.755 (0.750)	Data 0.001 (0.001)	Loss 1.9236 (1.8030)	Prec@1 53.125 (52.684)	Prec@5 80.469 (82.022)
Epoch: [80][7950/14090]	Time 0.763 (0.750)	Data 0.002 (0.001)	Loss 1.7861 (1.8031)	Prec@1 50.000 (52.682)	Prec@5 85.938 (82.023)
Epoch: [80][7960/14090]	Time 0.732 (0.750)	Data 0.001 (0.001)	Loss 1.5987 (1.8031)	Prec@1 61.719 (52.679)	Prec@5 83.594 (82.023)
Epoch: [80][7970/14090]	Time 0.758 (0.750)	Data 0.001 (0.001)	Loss 1.7768 (1.8030)	Prec@1 50.781 (52.680)	Prec@5 83.594 (82.024)
Epoch: [80][7980/14090]	Time 0.757 (0.750)	Data 0.001 (0.001)	Loss 1.8921 (1.8031)	Prec@1 53.906 (52.680)	Prec@5 82.031 (82.023)
Epoch: [80][7990/14090]	Time 0.745 (0.750)	Data 0.001 (0.001)	Loss 1.8152 (1.8032)	Prec@1 52.344 (52.679)	Prec@5 82.812 (82.025)
Epoch: [80][8000/14090]	Time 0.754 (0.750)	Data 0.001 (0.001)	Loss 1.7387 (1.8031)	Prec@1 56.250 (52.678)	Prec@5 85.938 (82.027)
Epoch: [80][8010/14090]	Time 0.724 (0.750)	Data 0.001 (0.001)	Loss 1.7067 (1.8032)	Prec@1 48.438 (52.676)	Prec@5 86.719 (82.026)
Epoch: [80][8020/14090]	Time 0.758 (0.750)	Data 0.002 (0.001)	Loss 1.8073 (1.8031)	Prec@1 53.906 (52.677)	Prec@5 79.688 (82.029)
Epoch: [80][8030/14090]	Time 0.740 (0.750)	Data 0.001 (0.001)	Loss 1.9156 (1.8031)	Prec@1 51.562 (52.676)	Prec@5 81.250 (82.026)
Epoch: [80][8040/14090]	Time 0.780 (0.750)	Data 0.001 (0.001)	Loss 1.7607 (1.8032)	Prec@1 54.688 (52.676)	Prec@5 80.469 (82.026)
Epoch: [80][8050/14090]	Time 0.775 (0.750)	Data 0.001 (0.001)	Loss 1.8174 (1.8031)	Prec@1 51.562 (52.677)	Prec@5 80.469 (82.028)
Epoch: [80][8060/14090]	Time 0.757 (0.750)	Data 0.001 (0.001)	Loss 1.6580 (1.8030)	Prec@1 57.031 (52.676)	Prec@5 84.375 (82.029)
Epoch: [80][8070/14090]	Time 0.731 (0.750)	Data 0.001 (0.001)	Loss 1.8546 (1.8030)	Prec@1 53.906 (52.676)	Prec@5 79.688 (82.028)
Epoch: [80][8080/14090]	Time 0.752 (0.750)	Data 0.001 (0.001)	Loss 2.2222 (1.8031)	Prec@1 45.312 (52.675)	Prec@5 77.344 (82.029)
Epoch: [80][8090/14090]	Time 0.727 (0.750)	Data 0.002 (0.001)	Loss 1.9669 (1.8031)	Prec@1 47.656 (52.676)	Prec@5 77.344 (82.026)
Epoch: [80][8100/14090]	Time 0.757 (0.750)	Data 0.001 (0.001)	Loss 2.1525 (1.8033)	Prec@1 43.750 (52.671)	Prec@5 71.875 (82.025)
Epoch: [80][8110/14090]	Time 0.727 (0.750)	Data 0.001 (0.001)	Loss 1.9762 (1.8034)	Prec@1 50.781 (52.669)	Prec@5 82.812 (82.023)
Epoch: [80][8120/14090]	Time 0.747 (0.750)	Data 0.001 (0.001)	Loss 1.6215 (1.8033)	Prec@1 53.906 (52.670)	Prec@5 84.375 (82.025)
Epoch: [80][8130/14090]	Time 0.762 (0.750)	Data 0.001 (0.001)	Loss 1.5855 (1.8032)	Prec@1 57.031 (52.673)	Prec@5 85.938 (82.028)
Epoch: [80][8140/14090]	Time 0.749 (0.750)	Data 0.001 (0.001)	Loss 2.0564 (1.8033)	Prec@1 47.656 (52.670)	Prec@5 79.688 (82.027)
Epoch: [80][8150/14090]	Time 0.774 (0.750)	Data 0.001 (0.001)	Loss 1.5775 (1.8033)	Prec@1 56.250 (52.671)	Prec@5 85.938 (82.028)
Epoch: [80][8160/14090]	Time 0.735 (0.750)	Data 0.002 (0.001)	Loss 1.8929 (1.8033)	Prec@1 53.125 (52.670)	Prec@5 80.469 (82.029)
Epoch: [80][8170/14090]	Time 0.763 (0.750)	Data 0.001 (0.001)	Loss 1.7018 (1.8032)	Prec@1 60.938 (52.673)	Prec@5 85.156 (82.029)
Epoch: [80][8180/14090]	Time 0.762 (0.750)	Data 0.001 (0.001)	Loss 1.9247 (1.8033)	Prec@1 50.781 (52.672)	Prec@5 76.562 (82.029)
Epoch: [80][8190/14090]	Time 0.756 (0.750)	Data 0.001 (0.001)	Loss 1.7533 (1.8032)	Prec@1 56.250 (52.673)	Prec@5 85.156 (82.031)
Epoch: [80][8200/14090]	Time 0.757 (0.750)	Data 0.001 (0.001)	Loss 2.0988 (1.8033)	Prec@1 45.312 (52.673)	Prec@5 79.688 (82.030)
Epoch: [80][8210/14090]	Time 0.745 (0.750)	Data 0.001 (0.001)	Loss 1.8945 (1.8032)	Prec@1 47.656 (52.673)	Prec@5 82.031 (82.032)
Epoch: [80][8220/14090]	Time 0.780 (0.750)	Data 0.001 (0.001)	Loss 1.8912 (1.8032)	Prec@1 46.875 (52.674)	Prec@5 79.688 (82.033)
Epoch: [80][8230/14090]	Time 0.732 (0.750)	Data 0.002 (0.001)	Loss 1.8258 (1.8032)	Prec@1 55.469 (52.675)	Prec@5 80.469 (82.032)
Epoch: [80][8240/14090]	Time 0.752 (0.750)	Data 0.001 (0.001)	Loss 1.7792 (1.8031)	Prec@1 49.219 (52.676)	Prec@5 82.031 (82.031)
Epoch: [80][8250/14090]	Time 0.750 (0.750)	Data 0.001 (0.001)	Loss 1.5534 (1.8031)	Prec@1 60.156 (52.675)	Prec@5 86.719 (82.032)
Epoch: [80][8260/14090]	Time 0.748 (0.750)	Data 0.001 (0.001)	Loss 1.7025 (1.8031)	Prec@1 60.938 (52.675)	Prec@5 85.156 (82.032)
Epoch: [80][8270/14090]	Time 0.751 (0.750)	Data 0.001 (0.001)	Loss 1.9605 (1.8031)	Prec@1 50.781 (52.676)	Prec@5 81.250 (82.032)
Epoch: [80][8280/14090]	Time 0.752 (0.750)	Data 0.001 (0.001)	Loss 1.8469 (1.8030)	Prec@1 49.219 (52.675)	Prec@5 78.906 (82.031)
Epoch: [80][8290/14090]	Time 0.758 (0.750)	Data 0.001 (0.001)	Loss 2.0540 (1.8031)	Prec@1 47.656 (52.673)	Prec@5 80.469 (82.029)
Epoch: [80][8300/14090]	Time 0.764 (0.750)	Data 0.002 (0.001)	Loss 2.1748 (1.8031)	Prec@1 50.000 (52.673)	Prec@5 77.344 (82.028)
Epoch: [80][8310/14090]	Time 0.749 (0.750)	Data 0.001 (0.001)	Loss 1.6531 (1.8031)	Prec@1 58.594 (52.671)	Prec@5 81.250 (82.029)
Epoch: [80][8320/14090]	Time 0.763 (0.750)	Data 0.001 (0.001)	Loss 1.9311 (1.8031)	Prec@1 49.219 (52.672)	Prec@5 84.375 (82.030)
Epoch: [80][8330/14090]	Time 0.735 (0.750)	Data 0.001 (0.001)	Loss 1.8267 (1.8030)	Prec@1 53.125 (52.674)	Prec@5 81.250 (82.032)
Epoch: [80][8340/14090]	Time 0.752 (0.750)	Data 0.001 (0.001)	Loss 1.8405 (1.8029)	Prec@1 55.469 (52.674)	Prec@5 78.906 (82.034)
Epoch: [80][8350/14090]	Time 0.728 (0.750)	Data 0.001 (0.001)	Loss 1.8372 (1.8029)	Prec@1 57.031 (52.674)	Prec@5 81.250 (82.033)
Epoch: [80][8360/14090]	Time 0.781 (0.750)	Data 0.001 (0.001)	Loss 1.4561 (1.8029)	Prec@1 60.156 (52.676)	Prec@5 87.500 (82.035)
Epoch: [80][8370/14090]	Time 0.747 (0.750)	Data 0.002 (0.001)	Loss 1.7222 (1.8029)	Prec@1 60.938 (52.674)	Prec@5 82.812 (82.035)
Epoch: [80][8380/14090]	Time 0.747 (0.750)	Data 0.001 (0.001)	Loss 1.7837 (1.8030)	Prec@1 50.000 (52.672)	Prec@5 84.375 (82.035)
Epoch: [80][8390/14090]	Time 0.732 (0.750)	Data 0.001 (0.001)	Loss 1.7294 (1.8031)	Prec@1 50.781 (52.668)	Prec@5 85.156 (82.033)
Epoch: [80][8400/14090]	Time 0.755 (0.750)	Data 0.001 (0.001)	Loss 1.9047 (1.8031)	Prec@1 52.344 (52.665)	Prec@5 76.562 (82.031)
Epoch: [80][8410/14090]	Time 0.718 (0.750)	Data 0.001 (0.001)	Loss 1.7458 (1.8032)	Prec@1 52.344 (52.663)	Prec@5 80.469 (82.031)
Epoch: [80][8420/14090]	Time 0.745 (0.750)	Data 0.001 (0.001)	Loss 2.0043 (1.8031)	Prec@1 51.562 (52.664)	Prec@5 80.469 (82.032)
Epoch: [80][8430/14090]	Time 0.753 (0.750)	Data 0.001 (0.001)	Loss 1.8144 (1.8030)	Prec@1 56.250 (52.665)	Prec@5 80.469 (82.032)
Epoch: [80][8440/14090]	Time 0.724 (0.750)	Data 0.002 (0.001)	Loss 1.7084 (1.8031)	Prec@1 53.125 (52.663)	Prec@5 82.812 (82.031)
Epoch: [80][8450/14090]	Time 0.725 (0.750)	Data 0.001 (0.001)	Loss 1.6837 (1.8031)	Prec@1 54.688 (52.662)	Prec@5 86.719 (82.030)
Epoch: [80][8460/14090]	Time 0.765 (0.750)	Data 0.001 (0.001)	Loss 1.9925 (1.8033)	Prec@1 45.312 (52.658)	Prec@5 78.906 (82.026)
Epoch: [80][8470/14090]	Time 0.728 (0.750)	Data 0.001 (0.001)	Loss 1.7776 (1.8033)	Prec@1 52.344 (52.659)	Prec@5 85.156 (82.027)
Epoch: [80][8480/14090]	Time 0.738 (0.750)	Data 0.001 (0.001)	Loss 1.8505 (1.8034)	Prec@1 55.469 (52.659)	Prec@5 78.125 (82.025)
Epoch: [80][8490/14090]	Time 0.754 (0.750)	Data 0.001 (0.001)	Loss 1.9886 (1.8035)	Prec@1 50.781 (52.656)	Prec@5 75.781 (82.021)
Epoch: [80][8500/14090]	Time 0.762 (0.750)	Data 0.001 (0.001)	Loss 2.1379 (1.8036)	Prec@1 44.531 (52.655)	Prec@5 76.562 (82.019)
Epoch: [80][8510/14090]	Time 0.764 (0.750)	Data 0.003 (0.001)	Loss 1.8516 (1.8035)	Prec@1 48.438 (52.656)	Prec@5 84.375 (82.019)
Epoch: [80][8520/14090]	Time 0.731 (0.750)	Data 0.001 (0.001)	Loss 1.6948 (1.8035)	Prec@1 61.719 (52.659)	Prec@5 82.812 (82.019)
Epoch: [80][8530/14090]	Time 0.738 (0.750)	Data 0.001 (0.001)	Loss 1.6459 (1.8034)	Prec@1 53.906 (52.660)	Prec@5 85.156 (82.022)
Epoch: [80][8540/14090]	Time 0.754 (0.750)	Data 0.001 (0.001)	Loss 1.9394 (1.8034)	Prec@1 53.906 (52.660)	Prec@5 81.250 (82.022)
Epoch: [80][8550/14090]	Time 0.740 (0.750)	Data 0.001 (0.001)	Loss 1.9753 (1.8033)	Prec@1 51.562 (52.660)	Prec@5 78.125 (82.023)
Epoch: [80][8560/14090]	Time 0.756 (0.750)	Data 0.001 (0.001)	Loss 1.7867 (1.8033)	Prec@1 53.906 (52.660)	Prec@5 80.469 (82.023)
Epoch: [80][8570/14090]	Time 0.751 (0.750)	Data 0.001 (0.001)	Loss 1.8633 (1.8033)	Prec@1 56.250 (52.663)	Prec@5 83.594 (82.023)
Epoch: [80][8580/14090]	Time 0.739 (0.750)	Data 0.002 (0.001)	Loss 1.6646 (1.8034)	Prec@1 50.781 (52.660)	Prec@5 82.812 (82.021)
Epoch: [80][8590/14090]	Time 0.747 (0.750)	Data 0.001 (0.001)	Loss 1.6741 (1.8034)	Prec@1 53.125 (52.660)	Prec@5 83.594 (82.021)
Epoch: [80][8600/14090]	Time 0.757 (0.750)	Data 0.001 (0.001)	Loss 1.7908 (1.8034)	Prec@1 51.562 (52.661)	Prec@5 79.688 (82.021)
Epoch: [80][8610/14090]	Time 0.759 (0.750)	Data 0.001 (0.001)	Loss 1.7870 (1.8035)	Prec@1 51.562 (52.659)	Prec@5 80.469 (82.020)
Epoch: [80][8620/14090]	Time 0.756 (0.750)	Data 0.001 (0.001)	Loss 1.9273 (1.8036)	Prec@1 53.125 (52.658)	Prec@5 82.031 (82.017)
Epoch: [80][8630/14090]	Time 0.762 (0.750)	Data 0.001 (0.001)	Loss 1.6145 (1.8035)	Prec@1 57.812 (52.657)	Prec@5 88.281 (82.018)
Epoch: [80][8640/14090]	Time 0.732 (0.750)	Data 0.001 (0.001)	Loss 1.7362 (1.8035)	Prec@1 61.719 (52.658)	Prec@5 83.594 (82.018)
Epoch: [80][8650/14090]	Time 0.733 (0.750)	Data 0.002 (0.001)	Loss 1.6730 (1.8035)	Prec@1 52.344 (52.658)	Prec@5 85.938 (82.017)
Epoch: [80][8660/14090]	Time 0.759 (0.750)	Data 0.001 (0.001)	Loss 1.6079 (1.8035)	Prec@1 57.812 (52.659)	Prec@5 89.062 (82.018)
Epoch: [80][8670/14090]	Time 0.762 (0.750)	Data 0.001 (0.001)	Loss 1.8809 (1.8035)	Prec@1 50.000 (52.659)	Prec@5 79.688 (82.017)
Epoch: [80][8680/14090]	Time 0.726 (0.750)	Data 0.001 (0.001)	Loss 1.7148 (1.8036)	Prec@1 51.562 (52.656)	Prec@5 79.688 (82.014)
Epoch: [80][8690/14090]	Time 0.758 (0.750)	Data 0.001 (0.001)	Loss 1.5736 (1.8036)	Prec@1 61.719 (52.655)	Prec@5 89.844 (82.014)
Epoch: [80][8700/14090]	Time 0.761 (0.750)	Data 0.001 (0.001)	Loss 2.0162 (1.8036)	Prec@1 45.312 (52.655)	Prec@5 77.344 (82.014)
Epoch: [80][8710/14090]	Time 0.746 (0.750)	Data 0.001 (0.001)	Loss 1.6481 (1.8036)	Prec@1 56.250 (52.655)	Prec@5 83.594 (82.014)
Epoch: [80][8720/14090]	Time 0.778 (0.750)	Data 0.002 (0.001)	Loss 1.5609 (1.8035)	Prec@1 57.812 (52.656)	Prec@5 87.500 (82.016)
Epoch: [80][8730/14090]	Time 0.747 (0.750)	Data 0.001 (0.001)	Loss 1.9816 (1.8035)	Prec@1 52.344 (52.657)	Prec@5 78.125 (82.016)
Epoch: [80][8740/14090]	Time 0.733 (0.750)	Data 0.001 (0.001)	Loss 1.9060 (1.8035)	Prec@1 49.219 (52.655)	Prec@5 81.250 (82.014)
Epoch: [80][8750/14090]	Time 0.750 (0.750)	Data 0.001 (0.001)	Loss 2.2126 (1.8036)	Prec@1 44.531 (52.654)	Prec@5 75.000 (82.014)
Epoch: [80][8760/14090]	Time 0.762 (0.750)	Data 0.001 (0.001)	Loss 1.8288 (1.8036)	Prec@1 53.906 (52.654)	Prec@5 79.688 (82.014)
Epoch: [80][8770/14090]	Time 0.763 (0.750)	Data 0.001 (0.001)	Loss 1.6795 (1.8035)	Prec@1 52.344 (52.656)	Prec@5 84.375 (82.017)
Epoch: [80][8780/14090]	Time 0.755 (0.750)	Data 0.001 (0.001)	Loss 1.7490 (1.8035)	Prec@1 53.125 (52.656)	Prec@5 82.812 (82.017)
Epoch: [80][8790/14090]	Time 0.742 (0.750)	Data 0.002 (0.001)	Loss 1.7692 (1.8034)	Prec@1 54.688 (52.657)	Prec@5 83.594 (82.018)
Epoch: [80][8800/14090]	Time 0.743 (0.750)	Data 0.001 (0.001)	Loss 1.8017 (1.8036)	Prec@1 53.906 (52.653)	Prec@5 79.688 (82.015)
Epoch: [80][8810/14090]	Time 0.757 (0.750)	Data 0.001 (0.001)	Loss 2.1327 (1.8036)	Prec@1 46.094 (52.652)	Prec@5 76.562 (82.014)
Epoch: [80][8820/14090]	Time 0.758 (0.750)	Data 0.001 (0.001)	Loss 1.8802 (1.8036)	Prec@1 46.875 (52.652)	Prec@5 80.469 (82.015)
Epoch: [80][8830/14090]	Time 0.776 (0.750)	Data 0.001 (0.001)	Loss 1.7155 (1.8037)	Prec@1 53.906 (52.652)	Prec@5 81.250 (82.014)
Epoch: [80][8840/14090]	Time 0.732 (0.750)	Data 0.001 (0.001)	Loss 1.9349 (1.8037)	Prec@1 49.219 (52.650)	Prec@5 82.812 (82.014)
Epoch: [80][8850/14090]	Time 0.758 (0.750)	Data 0.001 (0.001)	Loss 1.7399 (1.8036)	Prec@1 55.469 (52.652)	Prec@5 84.375 (82.015)
Epoch: [80][8860/14090]	Time 0.729 (0.750)	Data 0.002 (0.001)	Loss 1.6625 (1.8036)	Prec@1 57.031 (52.652)	Prec@5 85.938 (82.016)
Epoch: [80][8870/14090]	Time 0.748 (0.750)	Data 0.001 (0.001)	Loss 1.8208 (1.8037)	Prec@1 51.562 (52.650)	Prec@5 80.469 (82.015)
Epoch: [80][8880/14090]	Time 0.730 (0.750)	Data 0.001 (0.001)	Loss 1.9043 (1.8038)	Prec@1 46.875 (52.645)	Prec@5 82.812 (82.013)
Epoch: [80][8890/14090]	Time 0.754 (0.750)	Data 0.001 (0.001)	Loss 1.7555 (1.8038)	Prec@1 53.906 (52.646)	Prec@5 82.031 (82.013)
Epoch: [80][8900/14090]	Time 0.773 (0.750)	Data 0.001 (0.001)	Loss 1.8576 (1.8038)	Prec@1 52.344 (52.649)	Prec@5 82.812 (82.014)
Epoch: [80][8910/14090]	Time 0.724 (0.750)	Data 0.001 (0.001)	Loss 1.7003 (1.8038)	Prec@1 53.906 (52.648)	Prec@5 83.594 (82.013)
Epoch: [80][8920/14090]	Time 0.754 (0.750)	Data 0.001 (0.001)	Loss 1.8896 (1.8039)	Prec@1 47.656 (52.644)	Prec@5 81.250 (82.012)
Epoch: [80][8930/14090]	Time 0.758 (0.750)	Data 0.002 (0.001)	Loss 1.7436 (1.8039)	Prec@1 52.344 (52.646)	Prec@5 84.375 (82.013)
Epoch: [80][8940/14090]	Time 0.763 (0.750)	Data 0.001 (0.001)	Loss 1.8759 (1.8039)	Prec@1 51.562 (52.647)	Prec@5 82.031 (82.013)
Epoch: [80][8950/14090]	Time 0.758 (0.750)	Data 0.001 (0.001)	Loss 1.6144 (1.8040)	Prec@1 59.375 (52.645)	Prec@5 87.500 (82.013)
Epoch: [80][8960/14090]	Time 0.751 (0.750)	Data 0.001 (0.001)	Loss 1.9760 (1.8040)	Prec@1 50.000 (52.645)	Prec@5 78.125 (82.013)
Epoch: [80][8970/14090]	Time 0.758 (0.750)	Data 0.001 (0.001)	Loss 1.7532 (1.8040)	Prec@1 53.906 (52.643)	Prec@5 82.031 (82.014)
Epoch: [80][8980/14090]	Time 0.744 (0.750)	Data 0.001 (0.001)	Loss 1.5038 (1.8040)	Prec@1 59.375 (52.644)	Prec@5 89.062 (82.015)
Epoch: [80][8990/14090]	Time 0.750 (0.750)	Data 0.001 (0.001)	Loss 1.9243 (1.8040)	Prec@1 49.219 (52.645)	Prec@5 81.250 (82.015)
Epoch: [80][9000/14090]	Time 0.746 (0.750)	Data 0.002 (0.001)	Loss 1.6174 (1.8039)	Prec@1 56.250 (52.645)	Prec@5 84.375 (82.016)
Epoch: [80][9010/14090]	Time 0.742 (0.750)	Data 0.001 (0.001)	Loss 2.0459 (1.8041)	Prec@1 46.875 (52.642)	Prec@5 76.562 (82.013)
Epoch: [80][9020/14090]	Time 0.727 (0.750)	Data 0.001 (0.001)	Loss 1.6280 (1.8041)	Prec@1 55.469 (52.643)	Prec@5 85.156 (82.013)
Epoch: [80][9030/14090]	Time 0.756 (0.750)	Data 0.001 (0.001)	Loss 1.6058 (1.8039)	Prec@1 56.250 (52.647)	Prec@5 87.500 (82.016)
Epoch: [80][9040/14090]	Time 0.748 (0.750)	Data 0.001 (0.001)	Loss 2.0819 (1.8040)	Prec@1 50.000 (52.646)	Prec@5 77.344 (82.014)
Epoch: [80][9050/14090]	Time 0.751 (0.750)	Data 0.001 (0.001)	Loss 1.7111 (1.8040)	Prec@1 50.781 (52.645)	Prec@5 83.594 (82.013)
Epoch: [80][9060/14090]	Time 0.733 (0.750)	Data 0.001 (0.001)	Loss 1.8703 (1.8040)	Prec@1 45.312 (52.644)	Prec@5 82.812 (82.013)
Epoch: [80][9070/14090]	Time 0.761 (0.750)	Data 0.002 (0.001)	Loss 1.9874 (1.8041)	Prec@1 48.438 (52.644)	Prec@5 78.906 (82.012)
Epoch: [80][9080/14090]	Time 0.753 (0.750)	Data 0.001 (0.001)	Loss 1.5882 (1.8040)	Prec@1 57.031 (52.646)	Prec@5 85.156 (82.014)
Epoch: [80][9090/14090]	Time 0.727 (0.750)	Data 0.001 (0.001)	Loss 1.9199 (1.8040)	Prec@1 50.781 (52.647)	Prec@5 81.250 (82.014)
Epoch: [80][9100/14090]	Time 0.737 (0.750)	Data 0.001 (0.001)	Loss 1.9776 (1.8040)	Prec@1 46.875 (52.647)	Prec@5 77.344 (82.014)
Epoch: [80][9110/14090]	Time 0.733 (0.750)	Data 0.001 (0.001)	Loss 1.6742 (1.8040)	Prec@1 53.125 (52.645)	Prec@5 82.031 (82.014)
Epoch: [80][9120/14090]	Time 0.740 (0.750)	Data 0.001 (0.001)	Loss 1.6018 (1.8039)	Prec@1 57.812 (52.647)	Prec@5 85.938 (82.015)
Epoch: [80][9130/14090]	Time 0.775 (0.750)	Data 0.001 (0.001)	Loss 1.9031 (1.8039)	Prec@1 50.000 (52.648)	Prec@5 79.688 (82.015)
Epoch: [80][9140/14090]	Time 0.743 (0.750)	Data 0.002 (0.001)	Loss 1.6174 (1.8039)	Prec@1 53.906 (52.648)	Prec@5 86.719 (82.014)
Epoch: [80][9150/14090]	Time 0.739 (0.750)	Data 0.001 (0.001)	Loss 1.8284 (1.8039)	Prec@1 47.656 (52.650)	Prec@5 82.031 (82.014)
Epoch: [80][9160/14090]	Time 0.726 (0.750)	Data 0.001 (0.001)	Loss 1.6989 (1.8039)	Prec@1 55.469 (52.648)	Prec@5 85.156 (82.013)
Epoch: [80][9170/14090]	Time 0.781 (0.750)	Data 0.001 (0.001)	Loss 1.8482 (1.8039)	Prec@1 46.875 (52.647)	Prec@5 82.812 (82.015)
Epoch: [80][9180/14090]	Time 0.745 (0.750)	Data 0.001 (0.001)	Loss 1.9206 (1.8039)	Prec@1 49.219 (52.646)	Prec@5 78.906 (82.017)
Epoch: [80][9190/14090]	Time 0.752 (0.750)	Data 0.001 (0.001)	Loss 1.8775 (1.8039)	Prec@1 52.344 (52.646)	Prec@5 77.344 (82.017)
Epoch: [80][9200/14090]	Time 0.742 (0.750)	Data 0.001 (0.001)	Loss 1.5449 (1.8039)	Prec@1 57.031 (52.646)	Prec@5 89.062 (82.016)
Epoch: [80][9210/14090]	Time 0.763 (0.750)	Data 0.002 (0.001)	Loss 1.9989 (1.8039)	Prec@1 50.781 (52.646)	Prec@5 77.344 (82.015)
Epoch: [80][9220/14090]	Time 0.739 (0.750)	Data 0.001 (0.001)	Loss 1.8074 (1.8039)	Prec@1 50.000 (52.644)	Prec@5 78.906 (82.015)
Epoch: [80][9230/14090]	Time 0.745 (0.750)	Data 0.001 (0.001)	Loss 2.1157 (1.8039)	Prec@1 47.656 (52.645)	Prec@5 74.219 (82.016)
Epoch: [80][9240/14090]	Time 0.760 (0.750)	Data 0.001 (0.001)	Loss 2.0214 (1.8040)	Prec@1 41.406 (52.641)	Prec@5 80.469 (82.013)
Epoch: [80][9250/14090]	Time 0.745 (0.750)	Data 0.001 (0.001)	Loss 1.9916 (1.8040)	Prec@1 47.656 (52.643)	Prec@5 80.469 (82.013)
Epoch: [80][9260/14090]	Time 0.736 (0.750)	Data 0.001 (0.001)	Loss 1.8057 (1.8040)	Prec@1 58.594 (52.643)	Prec@5 79.688 (82.013)
Epoch: [80][9270/14090]	Time 0.754 (0.750)	Data 0.001 (0.001)	Loss 1.6722 (1.8040)	Prec@1 51.562 (52.645)	Prec@5 85.938 (82.014)
Epoch: [80][9280/14090]	Time 0.749 (0.750)	Data 0.002 (0.001)	Loss 1.7807 (1.8040)	Prec@1 52.344 (52.647)	Prec@5 82.812 (82.012)
Epoch: [80][9290/14090]	Time 0.736 (0.750)	Data 0.001 (0.001)	Loss 1.8063 (1.8039)	Prec@1 51.562 (52.648)	Prec@5 82.812 (82.014)
Epoch: [80][9300/14090]	Time 0.754 (0.750)	Data 0.001 (0.001)	Loss 1.7830 (1.8039)	Prec@1 55.469 (52.648)	Prec@5 81.250 (82.013)
Epoch: [80][9310/14090]	Time 0.753 (0.750)	Data 0.001 (0.001)	Loss 1.8088 (1.8039)	Prec@1 58.594 (52.647)	Prec@5 78.125 (82.012)
Epoch: [80][9320/14090]	Time 0.770 (0.750)	Data 0.001 (0.001)	Loss 1.8559 (1.8040)	Prec@1 54.688 (52.647)	Prec@5 84.375 (82.013)
Epoch: [80][9330/14090]	Time 0.734 (0.750)	Data 0.001 (0.001)	Loss 1.7242 (1.8040)	Prec@1 55.469 (52.647)	Prec@5 82.031 (82.011)
Epoch: [80][9340/14090]	Time 0.766 (0.750)	Data 0.001 (0.001)	Loss 1.5351 (1.8039)	Prec@1 60.156 (52.648)	Prec@5 85.156 (82.012)
Epoch: [80][9350/14090]	Time 0.741 (0.750)	Data 0.002 (0.001)	Loss 1.6619 (1.8038)	Prec@1 55.469 (52.650)	Prec@5 87.500 (82.013)
Epoch: [80][9360/14090]	Time 0.741 (0.750)	Data 0.001 (0.001)	Loss 1.5319 (1.8038)	Prec@1 56.250 (52.650)	Prec@5 82.031 (82.015)
Epoch: [80][9370/14090]	Time 0.784 (0.750)	Data 0.001 (0.001)	Loss 1.6708 (1.8037)	Prec@1 58.594 (52.652)	Prec@5 84.375 (82.016)
Epoch: [80][9380/14090]	Time 0.760 (0.750)	Data 0.001 (0.001)	Loss 1.7564 (1.8037)	Prec@1 55.469 (52.653)	Prec@5 81.250 (82.017)
Epoch: [80][9390/14090]	Time 0.737 (0.750)	Data 0.001 (0.001)	Loss 1.6192 (1.8036)	Prec@1 57.812 (52.654)	Prec@5 88.281 (82.019)
Epoch: [80][9400/14090]	Time 0.766 (0.750)	Data 0.001 (0.001)	Loss 1.5605 (1.8036)	Prec@1 53.125 (52.656)	Prec@5 88.281 (82.018)
Epoch: [80][9410/14090]	Time 0.755 (0.750)	Data 0.001 (0.001)	Loss 1.7667 (1.8035)	Prec@1 53.906 (52.658)	Prec@5 82.812 (82.018)
Epoch: [80][9420/14090]	Time 0.754 (0.750)	Data 0.002 (0.001)	Loss 2.0880 (1.8035)	Prec@1 42.969 (52.659)	Prec@5 78.125 (82.018)
Epoch: [80][9430/14090]	Time 0.785 (0.750)	Data 0.001 (0.001)	Loss 2.0462 (1.8036)	Prec@1 48.438 (52.656)	Prec@5 78.906 (82.017)
Epoch: [80][9440/14090]	Time 0.752 (0.750)	Data 0.001 (0.001)	Loss 1.7310 (1.8035)	Prec@1 50.781 (52.656)	Prec@5 81.250 (82.017)
Epoch: [80][9450/14090]	Time 0.719 (0.750)	Data 0.001 (0.001)	Loss 1.6682 (1.8036)	Prec@1 60.938 (52.655)	Prec@5 81.250 (82.015)
Epoch: [80][9460/14090]	Time 0.733 (0.750)	Data 0.001 (0.001)	Loss 1.6750 (1.8036)	Prec@1 52.344 (52.656)	Prec@5 82.812 (82.015)
Epoch: [80][9470/14090]	Time 0.748 (0.750)	Data 0.001 (0.001)	Loss 1.7154 (1.8036)	Prec@1 56.250 (52.656)	Prec@5 82.812 (82.015)
Epoch: [80][9480/14090]	Time 0.737 (0.750)	Data 0.001 (0.001)	Loss 1.8191 (1.8037)	Prec@1 54.688 (52.655)	Prec@5 83.594 (82.013)
Epoch: [80][9490/14090]	Time 0.759 (0.750)	Data 0.002 (0.001)	Loss 1.6795 (1.8036)	Prec@1 54.688 (52.654)	Prec@5 81.250 (82.014)
Epoch: [80][9500/14090]	Time 0.729 (0.750)	Data 0.001 (0.001)	Loss 1.7601 (1.8036)	Prec@1 57.031 (52.656)	Prec@5 79.688 (82.015)
Epoch: [80][9510/14090]	Time 0.774 (0.750)	Data 0.001 (0.001)	Loss 1.7352 (1.8035)	Prec@1 52.344 (52.657)	Prec@5 84.375 (82.014)
Epoch: [80][9520/14090]	Time 0.730 (0.750)	Data 0.001 (0.001)	Loss 1.8986 (1.8035)	Prec@1 46.094 (52.657)	Prec@5 81.250 (82.013)
Epoch: [80][9530/14090]	Time 0.750 (0.750)	Data 0.001 (0.001)	Loss 2.0183 (1.8035)	Prec@1 51.562 (52.658)	Prec@5 76.562 (82.013)
Epoch: [80][9540/14090]	Time 0.760 (0.750)	Data 0.001 (0.001)	Loss 1.8935 (1.8035)	Prec@1 49.219 (52.658)	Prec@5 79.688 (82.013)
Epoch: [80][9550/14090]	Time 0.738 (0.750)	Data 0.001 (0.001)	Loss 1.8120 (1.8035)	Prec@1 53.125 (52.657)	Prec@5 78.906 (82.013)
Epoch: [80][9560/14090]	Time 0.743 (0.750)	Data 0.002 (0.001)	Loss 1.6141 (1.8035)	Prec@1 60.156 (52.657)	Prec@5 78.906 (82.012)
Epoch: [80][9570/14090]	Time 0.747 (0.750)	Data 0.001 (0.001)	Loss 1.5578 (1.8035)	Prec@1 58.594 (52.656)	Prec@5 85.156 (82.013)
Epoch: [80][9580/14090]	Time 0.742 (0.750)	Data 0.001 (0.001)	Loss 1.9955 (1.8035)	Prec@1 47.656 (52.657)	Prec@5 81.250 (82.014)
Epoch: [80][9590/14090]	Time 0.729 (0.750)	Data 0.001 (0.001)	Loss 1.7743 (1.8035)	Prec@1 45.312 (52.655)	Prec@5 84.375 (82.013)
Epoch: [80][9600/14090]	Time 0.746 (0.750)	Data 0.001 (0.001)	Loss 1.7413 (1.8036)	Prec@1 54.688 (52.652)	Prec@5 84.375 (82.012)
Epoch: [80][9610/14090]	Time 0.761 (0.750)	Data 0.001 (0.001)	Loss 2.2643 (1.8037)	Prec@1 44.531 (52.652)	Prec@5 73.438 (82.010)
Epoch: [80][9620/14090]	Time 0.739 (0.750)	Data 0.001 (0.001)	Loss 1.8267 (1.8036)	Prec@1 50.000 (52.652)	Prec@5 81.250 (82.010)
Epoch: [80][9630/14090]	Time 0.773 (0.750)	Data 0.002 (0.001)	Loss 1.5341 (1.8036)	Prec@1 56.250 (52.652)	Prec@5 84.375 (82.010)
Epoch: [80][9640/14090]	Time 0.749 (0.750)	Data 0.001 (0.001)	Loss 1.8691 (1.8036)	Prec@1 47.656 (52.653)	Prec@5 82.812 (82.010)
Epoch: [80][9650/14090]	Time 0.753 (0.750)	Data 0.001 (0.001)	Loss 1.6684 (1.8036)	Prec@1 53.125 (52.653)	Prec@5 86.719 (82.010)
Epoch: [80][9660/14090]	Time 0.757 (0.750)	Data 0.001 (0.001)	Loss 1.8591 (1.8036)	Prec@1 52.344 (52.652)	Prec@5 79.688 (82.010)
Epoch: [80][9670/14090]	Time 0.747 (0.750)	Data 0.001 (0.001)	Loss 1.6586 (1.8036)	Prec@1 53.125 (52.653)	Prec@5 84.375 (82.011)
Epoch: [80][9680/14090]	Time 0.777 (0.750)	Data 0.001 (0.001)	Loss 1.7131 (1.8035)	Prec@1 51.562 (52.651)	Prec@5 82.812 (82.013)
Epoch: [80][9690/14090]	Time 0.752 (0.750)	Data 0.001 (0.001)	Loss 2.2854 (1.8036)	Prec@1 45.312 (52.650)	Prec@5 70.312 (82.011)
Epoch: [80][9700/14090]	Time 0.758 (0.750)	Data 0.002 (0.001)	Loss 2.1822 (1.8036)	Prec@1 45.312 (52.649)	Prec@5 75.781 (82.010)
Epoch: [80][9710/14090]	Time 0.754 (0.750)	Data 0.001 (0.001)	Loss 1.7987 (1.8036)	Prec@1 55.469 (52.647)	Prec@5 81.250 (82.010)
Epoch: [80][9720/14090]	Time 0.729 (0.750)	Data 0.001 (0.001)	Loss 1.6885 (1.8036)	Prec@1 59.375 (52.649)	Prec@5 81.250 (82.010)
Epoch: [80][9730/14090]	Time 0.732 (0.750)	Data 0.001 (0.001)	Loss 2.0234 (1.8036)	Prec@1 51.562 (52.650)	Prec@5 78.906 (82.011)
Epoch: [80][9740/14090]	Time 0.752 (0.750)	Data 0.001 (0.001)	Loss 1.8749 (1.8036)	Prec@1 56.250 (52.651)	Prec@5 80.469 (82.012)
Epoch: [80][9750/14090]	Time 0.749 (0.750)	Data 0.001 (0.001)	Loss 1.6295 (1.8036)	Prec@1 58.594 (52.652)	Prec@5 85.156 (82.012)
Epoch: [80][9760/14090]	Time 0.729 (0.750)	Data 0.001 (0.001)	Loss 1.7559 (1.8036)	Prec@1 53.906 (52.651)	Prec@5 83.594 (82.010)
Epoch: [80][9770/14090]	Time 0.730 (0.750)	Data 0.002 (0.001)	Loss 1.7551 (1.8036)	Prec@1 50.781 (52.652)	Prec@5 86.719 (82.009)
Epoch: [80][9780/14090]	Time 0.734 (0.750)	Data 0.001 (0.001)	Loss 1.7839 (1.8037)	Prec@1 51.562 (52.652)	Prec@5 82.031 (82.009)
Epoch: [80][9790/14090]	Time 0.781 (0.750)	Data 0.001 (0.001)	Loss 1.7593 (1.8037)	Prec@1 53.125 (52.651)	Prec@5 85.156 (82.008)
Epoch: [80][9800/14090]	Time 0.742 (0.750)	Data 0.001 (0.001)	Loss 1.7758 (1.8037)	Prec@1 57.031 (52.649)	Prec@5 83.594 (82.008)
Epoch: [80][9810/14090]	Time 0.753 (0.750)	Data 0.001 (0.001)	Loss 1.9098 (1.8037)	Prec@1 49.219 (52.649)	Prec@5 81.250 (82.008)
Epoch: [80][9820/14090]	Time 0.742 (0.750)	Data 0.001 (0.001)	Loss 1.8182 (1.8038)	Prec@1 46.094 (52.649)	Prec@5 83.594 (82.007)
Epoch: [80][9830/14090]	Time 0.738 (0.750)	Data 0.001 (0.001)	Loss 1.5730 (1.8037)	Prec@1 59.375 (52.649)	Prec@5 86.719 (82.008)
Epoch: [80][9840/14090]	Time 0.736 (0.750)	Data 0.002 (0.001)	Loss 1.5603 (1.8037)	Prec@1 59.375 (52.650)	Prec@5 83.594 (82.009)
Epoch: [80][9850/14090]	Time 0.728 (0.750)	Data 0.001 (0.001)	Loss 1.8098 (1.8036)	Prec@1 50.781 (52.649)	Prec@5 79.688 (82.011)
Epoch: [80][9860/14090]	Time 0.752 (0.750)	Data 0.001 (0.001)	Loss 1.5736 (1.8036)	Prec@1 60.156 (52.650)	Prec@5 85.938 (82.011)
Epoch: [80][9870/14090]	Time 0.774 (0.750)	Data 0.001 (0.001)	Loss 1.8162 (1.8036)	Prec@1 56.250 (52.651)	Prec@5 78.906 (82.010)
Epoch: [80][9880/14090]	Time 0.749 (0.750)	Data 0.001 (0.001)	Loss 1.7236 (1.8035)	Prec@1 56.250 (52.652)	Prec@5 84.375 (82.012)
Epoch: [80][9890/14090]	Time 0.747 (0.750)	Data 0.001 (0.001)	Loss 1.9136 (1.8035)	Prec@1 51.562 (52.654)	Prec@5 83.594 (82.013)
Epoch: [80][9900/14090]	Time 0.732 (0.750)	Data 0.001 (0.001)	Loss 1.7667 (1.8035)	Prec@1 50.000 (52.653)	Prec@5 85.938 (82.013)
Epoch: [80][9910/14090]	Time 0.766 (0.750)	Data 0.002 (0.001)	Loss 1.9034 (1.8036)	Prec@1 53.125 (52.654)	Prec@5 75.781 (82.010)
Epoch: [80][9920/14090]	Time 0.728 (0.750)	Data 0.001 (0.001)	Loss 2.1160 (1.8035)	Prec@1 49.219 (52.654)	Prec@5 73.438 (82.011)
Epoch: [80][9930/14090]	Time 0.738 (0.750)	Data 0.001 (0.001)	Loss 1.8229 (1.8035)	Prec@1 50.781 (52.654)	Prec@5 82.812 (82.011)
Epoch: [80][9940/14090]	Time 0.755 (0.750)	Data 0.001 (0.001)	Loss 1.6611 (1.8034)	Prec@1 54.688 (52.653)	Prec@5 82.812 (82.012)
Epoch: [80][9950/14090]	Time 0.762 (0.750)	Data 0.001 (0.001)	Loss 1.7767 (1.8035)	Prec@1 49.219 (52.653)	Prec@5 82.812 (82.011)
Epoch: [80][9960/14090]	Time 0.763 (0.750)	Data 0.001 (0.001)	Loss 1.8045 (1.8034)	Prec@1 53.906 (52.654)	Prec@5 82.812 (82.011)
Epoch: [80][9970/14090]	Time 0.754 (0.750)	Data 0.001 (0.001)	Loss 1.8950 (1.8034)	Prec@1 50.781 (52.655)	Prec@5 78.125 (82.011)
Epoch: [80][9980/14090]	Time 0.752 (0.750)	Data 0.002 (0.001)	Loss 1.7424 (1.8034)	Prec@1 53.906 (52.656)	Prec@5 80.469 (82.011)
Epoch: [80][9990/14090]	Time 0.753 (0.750)	Data 0.001 (0.001)	Loss 1.5792 (1.8034)	Prec@1 57.812 (52.655)	Prec@5 83.594 (82.011)
Epoch: [80][10000/14090]	Time 0.754 (0.750)	Data 0.001 (0.001)	Loss 1.7924 (1.8034)	Prec@1 58.594 (52.655)	Prec@5 78.906 (82.010)
Epoch: [80][10010/14090]	Time 0.746 (0.750)	Data 0.001 (0.001)	Loss 1.6710 (1.8035)	Prec@1 52.344 (52.655)	Prec@5 85.938 (82.010)
Epoch: [80][10020/14090]	Time 0.754 (0.750)	Data 0.001 (0.001)	Loss 1.5242 (1.8034)	Prec@1 60.156 (52.656)	Prec@5 85.156 (82.011)
Epoch: [80][10030/14090]	Time 0.732 (0.750)	Data 0.001 (0.001)	Loss 1.9077 (1.8035)	Prec@1 53.125 (52.656)	Prec@5 76.562 (82.009)
Epoch: [80][10040/14090]	Time 0.739 (0.750)	Data 0.001 (0.001)	Loss 1.8449 (1.8035)	Prec@1 53.125 (52.656)	Prec@5 81.250 (82.009)
Epoch: [80][10050/14090]	Time 0.773 (0.750)	Data 0.002 (0.001)	Loss 1.8961 (1.8036)	Prec@1 53.125 (52.654)	Prec@5 81.250 (82.006)
Epoch: [80][10060/14090]	Time 0.753 (0.750)	Data 0.001 (0.001)	Loss 1.8639 (1.8036)	Prec@1 50.781 (52.656)	Prec@5 80.469 (82.007)
Epoch: [80][10070/14090]	Time 0.746 (0.750)	Data 0.001 (0.001)	Loss 1.4458 (1.8036)	Prec@1 58.594 (52.656)	Prec@5 89.844 (82.006)
Epoch: [80][10080/14090]	Time 0.771 (0.750)	Data 0.001 (0.001)	Loss 1.6951 (1.8035)	Prec@1 51.562 (52.656)	Prec@5 85.938 (82.008)
Epoch: [80][10090/14090]	Time 0.732 (0.750)	Data 0.001 (0.001)	Loss 1.9531 (1.8035)	Prec@1 51.562 (52.657)	Prec@5 75.781 (82.008)
Epoch: [80][10100/14090]	Time 0.755 (0.750)	Data 0.001 (0.001)	Loss 1.9133 (1.8036)	Prec@1 49.219 (52.657)	Prec@5 81.250 (82.008)
Epoch: [80][10110/14090]	Time 0.735 (0.750)	Data 0.001 (0.001)	Loss 2.1950 (1.8036)	Prec@1 42.969 (52.656)	Prec@5 71.875 (82.008)
Epoch: [80][10120/14090]	Time 0.741 (0.750)	Data 0.002 (0.001)	Loss 1.7733 (1.8035)	Prec@1 53.125 (52.656)	Prec@5 82.031 (82.009)
Epoch: [80][10130/14090]	Time 0.727 (0.750)	Data 0.001 (0.001)	Loss 1.4984 (1.8034)	Prec@1 58.594 (52.658)	Prec@5 86.719 (82.011)
Epoch: [80][10140/14090]	Time 0.733 (0.750)	Data 0.001 (0.001)	Loss 1.6649 (1.8034)	Prec@1 54.688 (52.658)	Prec@5 85.938 (82.012)
Epoch: [80][10150/14090]	Time 0.788 (0.750)	Data 0.001 (0.001)	Loss 1.7928 (1.8034)	Prec@1 53.125 (52.658)	Prec@5 81.250 (82.011)
Epoch: [80][10160/14090]	Time 0.746 (0.750)	Data 0.001 (0.001)	Loss 1.8775 (1.8034)	Prec@1 51.562 (52.659)	Prec@5 82.031 (82.011)
Epoch: [80][10170/14090]	Time 0.750 (0.750)	Data 0.001 (0.001)	Loss 1.7013 (1.8034)	Prec@1 54.688 (52.659)	Prec@5 86.719 (82.012)
Epoch: [80][10180/14090]	Time 0.739 (0.750)	Data 0.001 (0.001)	Loss 1.6173 (1.8035)	Prec@1 57.812 (52.658)	Prec@5 88.281 (82.012)
Epoch: [80][10190/14090]	Time 0.767 (0.750)	Data 0.002 (0.001)	Loss 1.9163 (1.8034)	Prec@1 50.781 (52.659)	Prec@5 82.031 (82.013)
Epoch: [80][10200/14090]	Time 0.750 (0.750)	Data 0.001 (0.001)	Loss 1.6816 (1.8034)	Prec@1 53.906 (52.659)	Prec@5 85.938 (82.013)
Epoch: [80][10210/14090]	Time 0.753 (0.750)	Data 0.001 (0.001)	Loss 1.6963 (1.8035)	Prec@1 57.031 (52.657)	Prec@5 84.375 (82.012)
Epoch: [80][10220/14090]	Time 0.753 (0.750)	Data 0.001 (0.001)	Loss 1.7244 (1.8035)	Prec@1 52.344 (52.658)	Prec@5 84.375 (82.012)
Epoch: [80][10230/14090]	Time 0.722 (0.750)	Data 0.001 (0.001)	Loss 1.7120 (1.8036)	Prec@1 52.344 (52.656)	Prec@5 83.594 (82.011)
Epoch: [80][10240/14090]	Time 0.732 (0.750)	Data 0.001 (0.001)	Loss 1.6612 (1.8035)	Prec@1 57.031 (52.657)	Prec@5 86.719 (82.012)
Epoch: [80][10250/14090]	Time 0.762 (0.750)	Data 0.001 (0.001)	Loss 1.9479 (1.8035)	Prec@1 50.781 (52.655)	Prec@5 78.906 (82.011)
Epoch: [80][10260/14090]	Time 0.756 (0.750)	Data 0.002 (0.001)	Loss 1.9957 (1.8036)	Prec@1 50.781 (52.655)	Prec@5 79.688 (82.012)
Epoch: [80][10270/14090]	Time 0.739 (0.750)	Data 0.001 (0.001)	Loss 1.6676 (1.8035)	Prec@1 59.375 (52.656)	Prec@5 85.156 (82.012)
Epoch: [80][10280/14090]	Time 0.760 (0.750)	Data 0.001 (0.001)	Loss 1.7538 (1.8036)	Prec@1 56.250 (52.655)	Prec@5 83.594 (82.011)
Epoch: [80][10290/14090]	Time 0.736 (0.750)	Data 0.001 (0.001)	Loss 1.8849 (1.8036)	Prec@1 52.344 (52.653)	Prec@5 79.688 (82.011)
Epoch: [80][10300/14090]	Time 0.741 (0.750)	Data 0.001 (0.001)	Loss 1.7103 (1.8036)	Prec@1 55.469 (52.653)	Prec@5 82.031 (82.010)
Epoch: [80][10310/14090]	Time 0.733 (0.750)	Data 0.001 (0.001)	Loss 1.6545 (1.8036)	Prec@1 58.594 (52.654)	Prec@5 86.719 (82.012)
Epoch: [80][10320/14090]	Time 0.740 (0.750)	Data 0.001 (0.001)	Loss 1.7232 (1.8036)	Prec@1 57.812 (52.654)	Prec@5 82.812 (82.011)
Epoch: [80][10330/14090]	Time 0.757 (0.750)	Data 0.002 (0.001)	Loss 2.0672 (1.8036)	Prec@1 50.000 (52.655)	Prec@5 76.562 (82.010)
Epoch: [80][10340/14090]	Time 0.752 (0.750)	Data 0.001 (0.001)	Loss 1.9000 (1.8037)	Prec@1 50.781 (52.653)	Prec@5 78.906 (82.009)
Epoch: [80][10350/14090]	Time 0.744 (0.750)	Data 0.001 (0.001)	Loss 2.0372 (1.8037)	Prec@1 51.562 (52.653)	Prec@5 78.125 (82.010)
Epoch: [80][10360/14090]	Time 0.737 (0.750)	Data 0.001 (0.001)	Loss 1.6426 (1.8037)	Prec@1 54.688 (52.652)	Prec@5 85.938 (82.011)
Epoch: [80][10370/14090]	Time 0.756 (0.750)	Data 0.001 (0.001)	Loss 1.7442 (1.8038)	Prec@1 54.688 (52.652)	Prec@5 82.031 (82.009)
Epoch: [80][10380/14090]	Time 0.770 (0.750)	Data 0.001 (0.001)	Loss 1.7735 (1.8038)	Prec@1 54.688 (52.654)	Prec@5 80.469 (82.009)
Epoch: [80][10390/14090]	Time 0.749 (0.750)	Data 0.001 (0.001)	Loss 1.6303 (1.8038)	Prec@1 52.344 (52.654)	Prec@5 86.719 (82.008)
Epoch: [80][10400/14090]	Time 0.738 (0.750)	Data 0.002 (0.001)	Loss 1.8982 (1.8038)	Prec@1 46.875 (52.654)	Prec@5 79.688 (82.009)
Epoch: [80][10410/14090]	Time 0.755 (0.750)	Data 0.001 (0.001)	Loss 1.8230 (1.8038)	Prec@1 54.688 (52.653)	Prec@5 82.812 (82.009)
Epoch: [80][10420/14090]	Time 0.741 (0.750)	Data 0.001 (0.001)	Loss 1.7748 (1.8039)	Prec@1 49.219 (52.652)	Prec@5 82.031 (82.009)
Epoch: [80][10430/14090]	Time 0.742 (0.750)	Data 0.001 (0.001)	Loss 1.7609 (1.8038)	Prec@1 49.219 (52.654)	Prec@5 79.688 (82.009)
Epoch: [80][10440/14090]	Time 0.769 (0.750)	Data 0.001 (0.001)	Loss 2.0809 (1.8038)	Prec@1 48.438 (52.653)	Prec@5 80.469 (82.009)
Epoch: [80][10450/14090]	Time 0.750 (0.750)	Data 0.001 (0.001)	Loss 1.5731 (1.8038)	Prec@1 58.594 (52.655)	Prec@5 85.156 (82.009)
Epoch: [80][10460/14090]	Time 0.763 (0.750)	Data 0.001 (0.001)	Loss 1.6211 (1.8037)	Prec@1 57.812 (52.658)	Prec@5 85.938 (82.011)
Epoch: [80][10470/14090]	Time 0.750 (0.750)	Data 0.002 (0.001)	Loss 2.1118 (1.8037)	Prec@1 45.312 (52.657)	Prec@5 75.000 (82.009)
Epoch: [80][10480/14090]	Time 0.748 (0.750)	Data 0.001 (0.001)	Loss 1.8953 (1.8037)	Prec@1 54.688 (52.657)	Prec@5 81.250 (82.009)
Epoch: [80][10490/14090]	Time 0.755 (0.750)	Data 0.001 (0.001)	Loss 1.9179 (1.8036)	Prec@1 47.656 (52.658)	Prec@5 78.125 (82.011)
Epoch: [80][10500/14090]	Time 0.762 (0.750)	Data 0.001 (0.001)	Loss 1.6875 (1.8037)	Prec@1 53.906 (52.658)	Prec@5 84.375 (82.010)
Epoch: [80][10510/14090]	Time 0.733 (0.750)	Data 0.001 (0.001)	Loss 1.7164 (1.8036)	Prec@1 53.125 (52.659)	Prec@5 85.156 (82.012)
Epoch: [80][10520/14090]	Time 0.759 (0.750)	Data 0.001 (0.001)	Loss 1.9393 (1.8036)	Prec@1 49.219 (52.659)	Prec@5 79.688 (82.012)
Epoch: [80][10530/14090]	Time 0.729 (0.750)	Data 0.001 (0.001)	Loss 1.9476 (1.8036)	Prec@1 48.438 (52.657)	Prec@5 77.344 (82.011)
Epoch: [80][10540/14090]	Time 0.751 (0.750)	Data 0.002 (0.001)	Loss 1.7731 (1.8036)	Prec@1 52.344 (52.657)	Prec@5 82.812 (82.011)
Epoch: [80][10550/14090]	Time 0.727 (0.750)	Data 0.001 (0.001)	Loss 1.6808 (1.8036)	Prec@1 54.688 (52.657)	Prec@5 86.719 (82.011)
Epoch: [80][10560/14090]	Time 0.774 (0.750)	Data 0.001 (0.001)	Loss 1.6099 (1.8035)	Prec@1 58.594 (52.659)	Prec@5 85.938 (82.012)
Epoch: [80][10570/14090]	Time 0.745 (0.750)	Data 0.001 (0.001)	Loss 1.5167 (1.8035)	Prec@1 54.688 (52.660)	Prec@5 89.844 (82.013)
Epoch: [80][10580/14090]	Time 0.757 (0.750)	Data 0.001 (0.001)	Loss 1.9821 (1.8036)	Prec@1 48.438 (52.658)	Prec@5 78.125 (82.011)
Epoch: [80][10590/14090]	Time 0.728 (0.750)	Data 0.001 (0.001)	Loss 1.6574 (1.8035)	Prec@1 52.344 (52.659)	Prec@5 84.375 (82.012)
Epoch: [80][10600/14090]	Time 0.740 (0.750)	Data 0.001 (0.001)	Loss 1.8947 (1.8035)	Prec@1 50.000 (52.658)	Prec@5 78.125 (82.013)
Epoch: [80][10610/14090]	Time 0.749 (0.750)	Data 0.002 (0.001)	Loss 1.7158 (1.8035)	Prec@1 50.000 (52.658)	Prec@5 82.812 (82.012)
Epoch: [80][10620/14090]	Time 0.752 (0.750)	Data 0.001 (0.001)	Loss 1.8911 (1.8036)	Prec@1 50.000 (52.655)	Prec@5 81.250 (82.011)
Epoch: [80][10630/14090]	Time 0.750 (0.750)	Data 0.001 (0.001)	Loss 1.8210 (1.8035)	Prec@1 48.438 (52.655)	Prec@5 79.688 (82.010)
Epoch: [80][10640/14090]	Time 0.745 (0.750)	Data 0.001 (0.001)	Loss 1.6452 (1.8036)	Prec@1 57.812 (52.655)	Prec@5 85.938 (82.009)
Epoch: [80][10650/14090]	Time 0.749 (0.750)	Data 0.001 (0.001)	Loss 1.9389 (1.8036)	Prec@1 46.875 (52.653)	Prec@5 83.594 (82.008)
Epoch: [80][10660/14090]	Time 0.762 (0.750)	Data 0.001 (0.001)	Loss 1.6115 (1.8036)	Prec@1 55.469 (52.653)	Prec@5 84.375 (82.009)
Epoch: [80][10670/14090]	Time 0.755 (0.750)	Data 0.001 (0.001)	Loss 1.8136 (1.8036)	Prec@1 54.688 (52.652)	Prec@5 82.812 (82.008)
Epoch: [80][10680/14090]	Time 0.780 (0.750)	Data 0.002 (0.001)	Loss 1.6799 (1.8037)	Prec@1 55.469 (52.651)	Prec@5 83.594 (82.008)
Epoch: [80][10690/14090]	Time 0.746 (0.750)	Data 0.001 (0.001)	Loss 1.6171 (1.8037)	Prec@1 54.688 (52.652)	Prec@5 83.594 (82.008)
Epoch: [80][10700/14090]	Time 0.748 (0.750)	Data 0.001 (0.001)	Loss 1.9204 (1.8037)	Prec@1 52.344 (52.651)	Prec@5 82.031 (82.007)
Epoch: [80][10710/14090]	Time 0.738 (0.750)	Data 0.001 (0.001)	Loss 1.7535 (1.8037)	Prec@1 57.812 (52.652)	Prec@5 82.031 (82.007)
Epoch: [80][10720/14090]	Time 0.754 (0.750)	Data 0.001 (0.001)	Loss 1.7725 (1.8038)	Prec@1 50.781 (52.651)	Prec@5 82.812 (82.006)
Epoch: [80][10730/14090]	Time 0.777 (0.750)	Data 0.001 (0.001)	Loss 1.6265 (1.8038)	Prec@1 51.562 (52.650)	Prec@5 84.375 (82.005)
Epoch: [80][10740/14090]	Time 0.741 (0.750)	Data 0.001 (0.001)	Loss 1.8585 (1.8039)	Prec@1 54.688 (52.650)	Prec@5 79.688 (82.004)
Epoch: [80][10750/14090]	Time 0.726 (0.750)	Data 0.002 (0.001)	Loss 1.7056 (1.8038)	Prec@1 52.344 (52.650)	Prec@5 82.812 (82.005)
Epoch: [80][10760/14090]	Time 0.771 (0.750)	Data 0.001 (0.001)	Loss 1.9567 (1.8038)	Prec@1 51.562 (52.650)	Prec@5 78.125 (82.005)
Epoch: [80][10770/14090]	Time 0.749 (0.750)	Data 0.001 (0.001)	Loss 2.1122 (1.8039)	Prec@1 46.094 (52.649)	Prec@5 78.906 (82.004)
Epoch: [80][10780/14090]	Time 0.750 (0.750)	Data 0.001 (0.001)	Loss 1.6319 (1.8039)	Prec@1 59.375 (52.649)	Prec@5 80.469 (82.002)
Epoch: [80][10790/14090]	Time 0.745 (0.750)	Data 0.001 (0.001)	Loss 1.6910 (1.8040)	Prec@1 56.250 (52.648)	Prec@5 84.375 (82.002)
Epoch: [80][10800/14090]	Time 0.732 (0.750)	Data 0.001 (0.001)	Loss 1.6266 (1.8040)	Prec@1 57.031 (52.648)	Prec@5 84.375 (82.001)
Epoch: [80][10810/14090]	Time 0.746 (0.750)	Data 0.001 (0.001)	Loss 1.8086 (1.8039)	Prec@1 48.438 (52.649)	Prec@5 84.375 (82.002)
Epoch: [80][10820/14090]	Time 0.741 (0.750)	Data 0.002 (0.001)	Loss 1.6724 (1.8040)	Prec@1 56.250 (52.648)	Prec@5 86.719 (82.002)
Epoch: [80][10830/14090]	Time 0.739 (0.750)	Data 0.001 (0.001)	Loss 1.7735 (1.8039)	Prec@1 48.438 (52.648)	Prec@5 85.156 (82.004)
Epoch: [80][10840/14090]	Time 0.732 (0.750)	Data 0.001 (0.001)	Loss 1.7312 (1.8039)	Prec@1 54.688 (52.649)	Prec@5 82.031 (82.004)
Epoch: [80][10850/14090]	Time 0.763 (0.750)	Data 0.001 (0.001)	Loss 1.6496 (1.8040)	Prec@1 58.594 (52.648)	Prec@5 85.156 (82.004)
Epoch: [80][10860/14090]	Time 0.750 (0.750)	Data 0.001 (0.001)	Loss 1.7976 (1.8040)	Prec@1 50.000 (52.648)	Prec@5 82.031 (82.004)
Epoch: [80][10870/14090]	Time 0.731 (0.750)	Data 0.001 (0.001)	Loss 1.8271 (1.8040)	Prec@1 54.688 (52.647)	Prec@5 81.250 (82.002)
Epoch: [80][10880/14090]	Time 0.732 (0.750)	Data 0.001 (0.001)	Loss 1.9067 (1.8041)	Prec@1 52.344 (52.644)	Prec@5 79.688 (82.001)
Epoch: [80][10890/14090]	Time 0.755 (0.750)	Data 0.002 (0.001)	Loss 1.6765 (1.8041)	Prec@1 57.031 (52.643)	Prec@5 84.375 (82.001)
Epoch: [80][10900/14090]	Time 0.782 (0.750)	Data 0.001 (0.001)	Loss 1.5434 (1.8041)	Prec@1 60.156 (52.644)	Prec@5 85.938 (82.000)
Epoch: [80][10910/14090]	Time 0.779 (0.750)	Data 0.001 (0.001)	Loss 1.7654 (1.8041)	Prec@1 57.031 (52.645)	Prec@5 83.594 (82.001)
Epoch: [80][10920/14090]	Time 0.734 (0.750)	Data 0.001 (0.001)	Loss 1.7720 (1.8041)	Prec@1 56.250 (52.646)	Prec@5 82.812 (82.001)
Epoch: [80][10930/14090]	Time 0.777 (0.750)	Data 0.001 (0.001)	Loss 2.1152 (1.8040)	Prec@1 46.094 (52.647)	Prec@5 77.344 (82.002)
Epoch: [80][10940/14090]	Time 0.745 (0.750)	Data 0.001 (0.001)	Loss 1.8491 (1.8040)	Prec@1 57.031 (52.647)	Prec@5 82.031 (82.002)
Epoch: [80][10950/14090]	Time 0.743 (0.750)	Data 0.001 (0.001)	Loss 1.8561 (1.8041)	Prec@1 52.344 (52.645)	Prec@5 81.250 (82.001)
Epoch: [80][10960/14090]	Time 0.754 (0.750)	Data 0.002 (0.001)	Loss 1.7143 (1.8042)	Prec@1 57.031 (52.643)	Prec@5 82.031 (81.999)
Epoch: [80][10970/14090]	Time 0.760 (0.750)	Data 0.001 (0.001)	Loss 1.7891 (1.8042)	Prec@1 54.688 (52.641)	Prec@5 83.594 (82.000)
Epoch: [80][10980/14090]	Time 0.753 (0.750)	Data 0.001 (0.001)	Loss 1.8019 (1.8043)	Prec@1 54.688 (52.640)	Prec@5 81.250 (81.999)
Epoch: [80][10990/14090]	Time 0.746 (0.750)	Data 0.001 (0.001)	Loss 1.7738 (1.8043)	Prec@1 48.438 (52.639)	Prec@5 78.125 (81.998)
Epoch: [80][11000/14090]	Time 0.759 (0.750)	Data 0.001 (0.001)	Loss 1.8083 (1.8043)	Prec@1 55.469 (52.640)	Prec@5 81.250 (81.997)
Epoch: [80][11010/14090]	Time 0.768 (0.750)	Data 0.001 (0.001)	Loss 1.9544 (1.8043)	Prec@1 52.344 (52.642)	Prec@5 78.125 (81.997)
Epoch: [80][11020/14090]	Time 0.735 (0.750)	Data 0.001 (0.001)	Loss 1.7628 (1.8043)	Prec@1 49.219 (52.638)	Prec@5 83.594 (81.996)
Epoch: [80][11030/14090]	Time 0.762 (0.750)	Data 0.002 (0.001)	Loss 1.9237 (1.8043)	Prec@1 49.219 (52.639)	Prec@5 82.031 (81.997)
Epoch: [80][11040/14090]	Time 0.764 (0.750)	Data 0.001 (0.001)	Loss 2.0106 (1.8044)	Prec@1 44.531 (52.637)	Prec@5 80.469 (81.996)
Epoch: [80][11050/14090]	Time 0.733 (0.750)	Data 0.001 (0.001)	Loss 1.5692 (1.8044)	Prec@1 57.812 (52.637)	Prec@5 85.938 (81.997)
Epoch: [80][11060/14090]	Time 0.738 (0.750)	Data 0.001 (0.001)	Loss 1.5615 (1.8043)	Prec@1 53.125 (52.639)	Prec@5 87.500 (81.998)
Epoch: [80][11070/14090]	Time 0.749 (0.750)	Data 0.001 (0.001)	Loss 1.9496 (1.8044)	Prec@1 48.438 (52.638)	Prec@5 80.469 (81.995)
Epoch: [80][11080/14090]	Time 0.727 (0.750)	Data 0.001 (0.001)	Loss 1.6025 (1.8044)	Prec@1 62.500 (52.640)	Prec@5 83.594 (81.996)
Epoch: [80][11090/14090]	Time 0.759 (0.750)	Data 0.001 (0.001)	Loss 1.6271 (1.8044)	Prec@1 54.688 (52.639)	Prec@5 82.031 (81.994)
Epoch: [80][11100/14090]	Time 0.723 (0.750)	Data 0.002 (0.001)	Loss 1.5482 (1.8044)	Prec@1 61.719 (52.640)	Prec@5 89.062 (81.994)
Epoch: [80][11110/14090]	Time 0.760 (0.750)	Data 0.001 (0.001)	Loss 1.7710 (1.8045)	Prec@1 53.125 (52.639)	Prec@5 82.031 (81.992)
Epoch: [80][11120/14090]	Time 0.743 (0.750)	Data 0.001 (0.001)	Loss 1.7287 (1.8045)	Prec@1 56.250 (52.640)	Prec@5 87.500 (81.992)
Epoch: [80][11130/14090]	Time 0.737 (0.750)	Data 0.001 (0.001)	Loss 1.7507 (1.8046)	Prec@1 50.781 (52.640)	Prec@5 84.375 (81.991)
Epoch: [80][11140/14090]	Time 0.740 (0.750)	Data 0.001 (0.001)	Loss 1.6452 (1.8046)	Prec@1 55.469 (52.639)	Prec@5 82.812 (81.989)
Epoch: [80][11150/14090]	Time 0.741 (0.750)	Data 0.001 (0.001)	Loss 1.8521 (1.8047)	Prec@1 50.000 (52.638)	Prec@5 78.125 (81.988)
Epoch: [80][11160/14090]	Time 0.747 (0.750)	Data 0.001 (0.001)	Loss 1.6081 (1.8047)	Prec@1 57.031 (52.637)	Prec@5 82.031 (81.988)
Epoch: [80][11170/14090]	Time 0.753 (0.750)	Data 0.002 (0.001)	Loss 1.6665 (1.8047)	Prec@1 57.812 (52.636)	Prec@5 81.250 (81.989)
Epoch: [80][11180/14090]	Time 0.743 (0.750)	Data 0.001 (0.001)	Loss 1.8108 (1.8047)	Prec@1 52.344 (52.637)	Prec@5 81.250 (81.987)
Epoch: [80][11190/14090]	Time 0.755 (0.750)	Data 0.001 (0.001)	Loss 1.8504 (1.8048)	Prec@1 49.219 (52.635)	Prec@5 79.688 (81.985)
Epoch: [80][11200/14090]	Time 0.738 (0.750)	Data 0.001 (0.001)	Loss 1.8800 (1.8049)	Prec@1 49.219 (52.633)	Prec@5 83.594 (81.985)
Epoch: [80][11210/14090]	Time 0.767 (0.750)	Data 0.001 (0.001)	Loss 1.7436 (1.8048)	Prec@1 55.469 (52.634)	Prec@5 82.031 (81.986)
Epoch: [80][11220/14090]	Time 0.741 (0.750)	Data 0.001 (0.001)	Loss 1.7397 (1.8048)	Prec@1 54.688 (52.633)	Prec@5 86.719 (81.986)
Epoch: [80][11230/14090]	Time 0.743 (0.750)	Data 0.001 (0.001)	Loss 1.6863 (1.8047)	Prec@1 50.781 (52.636)	Prec@5 85.938 (81.989)
Epoch: [80][11240/14090]	Time 0.724 (0.750)	Data 0.002 (0.001)	Loss 1.9355 (1.8047)	Prec@1 42.969 (52.634)	Prec@5 78.906 (81.989)
Epoch: [80][11250/14090]	Time 0.766 (0.750)	Data 0.001 (0.001)	Loss 1.8071 (1.8048)	Prec@1 52.344 (52.633)	Prec@5 80.469 (81.988)
Epoch: [80][11260/14090]	Time 0.747 (0.750)	Data 0.001 (0.001)	Loss 1.9393 (1.8049)	Prec@1 45.312 (52.632)	Prec@5 78.125 (81.987)
Epoch: [80][11270/14090]	Time 0.752 (0.750)	Data 0.001 (0.001)	Loss 1.7571 (1.8049)	Prec@1 52.344 (52.631)	Prec@5 82.031 (81.987)
Epoch: [80][11280/14090]	Time 0.737 (0.750)	Data 0.001 (0.001)	Loss 1.8191 (1.8049)	Prec@1 50.000 (52.630)	Prec@5 82.812 (81.987)
Epoch: [80][11290/14090]	Time 0.735 (0.750)	Data 0.001 (0.001)	Loss 1.6332 (1.8049)	Prec@1 54.688 (52.630)	Prec@5 89.062 (81.988)
Epoch: [80][11300/14090]	Time 0.752 (0.750)	Data 0.001 (0.001)	Loss 1.7857 (1.8050)	Prec@1 54.688 (52.630)	Prec@5 84.375 (81.986)
Epoch: [80][11310/14090]	Time 0.773 (0.750)	Data 0.002 (0.001)	Loss 1.8300 (1.8050)	Prec@1 54.688 (52.627)	Prec@5 81.250 (81.987)
Epoch: [80][11320/14090]	Time 0.754 (0.750)	Data 0.001 (0.001)	Loss 1.6337 (1.8050)	Prec@1 55.469 (52.627)	Prec@5 83.594 (81.986)
Epoch: [80][11330/14090]	Time 0.766 (0.750)	Data 0.001 (0.001)	Loss 1.8097 (1.8051)	Prec@1 53.125 (52.627)	Prec@5 83.594 (81.986)
Epoch: [80][11340/14090]	Time 0.745 (0.750)	Data 0.001 (0.001)	Loss 1.6665 (1.8051)	Prec@1 54.688 (52.627)	Prec@5 86.719 (81.986)
Epoch: [80][11350/14090]	Time 0.727 (0.750)	Data 0.001 (0.001)	Loss 1.6016 (1.8052)	Prec@1 57.031 (52.626)	Prec@5 85.156 (81.985)
Epoch: [80][11360/14090]	Time 0.754 (0.750)	Data 0.001 (0.001)	Loss 1.7918 (1.8051)	Prec@1 50.781 (52.627)	Prec@5 82.812 (81.986)
Epoch: [80][11370/14090]	Time 0.776 (0.750)	Data 0.001 (0.001)	Loss 1.7603 (1.8051)	Prec@1 50.000 (52.628)	Prec@5 82.812 (81.986)
Epoch: [80][11380/14090]	Time 0.741 (0.750)	Data 0.002 (0.001)	Loss 1.7871 (1.8051)	Prec@1 56.250 (52.629)	Prec@5 84.375 (81.986)
Epoch: [80][11390/14090]	Time 0.756 (0.750)	Data 0.001 (0.001)	Loss 1.7246 (1.8051)	Prec@1 50.000 (52.630)	Prec@5 80.469 (81.986)
Epoch: [80][11400/14090]	Time 0.751 (0.750)	Data 0.001 (0.001)	Loss 1.8796 (1.8051)	Prec@1 49.219 (52.630)	Prec@5 78.906 (81.987)
Epoch: [80][11410/14090]	Time 0.771 (0.750)	Data 0.001 (0.001)	Loss 1.6010 (1.8051)	Prec@1 59.375 (52.630)	Prec@5 84.375 (81.987)
Epoch: [80][11420/14090]	Time 0.735 (0.750)	Data 0.001 (0.001)	Loss 1.6275 (1.8051)	Prec@1 57.031 (52.629)	Prec@5 85.938 (81.986)
Epoch: [80][11430/14090]	Time 0.774 (0.750)	Data 0.001 (0.001)	Loss 2.1625 (1.8051)	Prec@1 44.531 (52.629)	Prec@5 77.344 (81.987)
Epoch: [80][11440/14090]	Time 0.752 (0.750)	Data 0.001 (0.001)	Loss 1.5851 (1.8051)	Prec@1 53.906 (52.628)	Prec@5 89.062 (81.988)
Epoch: [80][11450/14090]	Time 0.744 (0.750)	Data 0.002 (0.001)	Loss 1.6735 (1.8051)	Prec@1 58.594 (52.629)	Prec@5 82.031 (81.988)
Epoch: [80][11460/14090]	Time 0.742 (0.750)	Data 0.001 (0.001)	Loss 2.1097 (1.8050)	Prec@1 46.875 (52.630)	Prec@5 75.781 (81.989)
Epoch: [80][11470/14090]	Time 0.741 (0.750)	Data 0.001 (0.001)	Loss 1.8023 (1.8050)	Prec@1 50.781 (52.630)	Prec@5 78.906 (81.989)
Epoch: [80][11480/14090]	Time 0.742 (0.750)	Data 0.001 (0.001)	Loss 1.6254 (1.8051)	Prec@1 54.688 (52.629)	Prec@5 85.156 (81.988)
Epoch: [80][11490/14090]	Time 0.749 (0.750)	Data 0.001 (0.001)	Loss 2.0412 (1.8051)	Prec@1 52.344 (52.629)	Prec@5 75.000 (81.986)
Epoch: [80][11500/14090]	Time 0.739 (0.750)	Data 0.001 (0.001)	Loss 1.7664 (1.8051)	Prec@1 54.688 (52.631)	Prec@5 82.812 (81.986)
Epoch: [80][11510/14090]	Time 0.764 (0.750)	Data 0.001 (0.001)	Loss 1.7575 (1.8050)	Prec@1 55.469 (52.632)	Prec@5 84.375 (81.987)
Epoch: [80][11520/14090]	Time 0.743 (0.750)	Data 0.002 (0.001)	Loss 1.6975 (1.8051)	Prec@1 55.469 (52.629)	Prec@5 82.812 (81.986)
Epoch: [80][11530/14090]	Time 0.727 (0.750)	Data 0.001 (0.001)	Loss 1.7301 (1.8051)	Prec@1 54.688 (52.631)	Prec@5 83.594 (81.987)
Epoch: [80][11540/14090]	Time 0.756 (0.750)	Data 0.001 (0.001)	Loss 1.7468 (1.8051)	Prec@1 57.031 (52.630)	Prec@5 82.812 (81.986)
Epoch: [80][11550/14090]	Time 0.751 (0.750)	Data 0.001 (0.001)	Loss 1.5721 (1.8051)	Prec@1 60.938 (52.632)	Prec@5 89.844 (81.987)
Epoch: [80][11560/14090]	Time 0.750 (0.750)	Data 0.001 (0.001)	Loss 1.7146 (1.8051)	Prec@1 56.250 (52.633)	Prec@5 83.594 (81.987)
Epoch: [80][11570/14090]	Time 0.746 (0.750)	Data 0.001 (0.001)	Loss 1.8611 (1.8052)	Prec@1 51.562 (52.630)	Prec@5 79.688 (81.985)
Epoch: [80][11580/14090]	Time 0.737 (0.750)	Data 0.001 (0.001)	Loss 1.9292 (1.8052)	Prec@1 52.344 (52.630)	Prec@5 75.000 (81.983)
Epoch: [80][11590/14090]	Time 0.796 (0.750)	Data 0.002 (0.001)	Loss 1.7942 (1.8053)	Prec@1 51.562 (52.628)	Prec@5 83.594 (81.983)
Epoch: [80][11600/14090]	Time 0.758 (0.750)	Data 0.001 (0.001)	Loss 1.9083 (1.8053)	Prec@1 50.000 (52.628)	Prec@5 79.688 (81.982)
Epoch: [80][11610/14090]	Time 0.748 (0.750)	Data 0.001 (0.001)	Loss 1.8142 (1.8054)	Prec@1 50.781 (52.629)	Prec@5 83.594 (81.982)
Epoch: [80][11620/14090]	Time 0.732 (0.750)	Data 0.001 (0.001)	Loss 1.6058 (1.8054)	Prec@1 60.156 (52.629)	Prec@5 85.156 (81.982)
Epoch: [80][11630/14090]	Time 0.741 (0.750)	Data 0.001 (0.001)	Loss 1.7910 (1.8054)	Prec@1 52.344 (52.629)	Prec@5 81.250 (81.983)
Epoch: [80][11640/14090]	Time 0.749 (0.750)	Data 0.001 (0.001)	Loss 1.7901 (1.8054)	Prec@1 56.250 (52.628)	Prec@5 84.375 (81.983)
Epoch: [80][11650/14090]	Time 0.747 (0.750)	Data 0.001 (0.001)	Loss 1.6867 (1.8054)	Prec@1 58.594 (52.628)	Prec@5 81.250 (81.983)
Epoch: [80][11660/14090]	Time 0.734 (0.750)	Data 0.002 (0.001)	Loss 1.6568 (1.8054)	Prec@1 54.688 (52.630)	Prec@5 85.156 (81.983)
Epoch: [80][11670/14090]	Time 0.737 (0.750)	Data 0.001 (0.001)	Loss 1.7952 (1.8054)	Prec@1 53.125 (52.629)	Prec@5 81.250 (81.983)
Epoch: [80][11680/14090]	Time 0.747 (0.750)	Data 0.001 (0.001)	Loss 1.7793 (1.8054)	Prec@1 50.781 (52.629)	Prec@5 78.906 (81.984)
Epoch: [80][11690/14090]	Time 0.768 (0.750)	Data 0.001 (0.001)	Loss 1.7830 (1.8055)	Prec@1 47.656 (52.626)	Prec@5 85.156 (81.983)
Epoch: [80][11700/14090]	Time 0.746 (0.750)	Data 0.001 (0.001)	Loss 1.9524 (1.8054)	Prec@1 43.750 (52.626)	Prec@5 84.375 (81.983)
Epoch: [80][11710/14090]	Time 0.745 (0.750)	Data 0.001 (0.001)	Loss 1.7555 (1.8055)	Prec@1 53.125 (52.625)	Prec@5 81.250 (81.984)
Epoch: [80][11720/14090]	Time 0.734 (0.750)	Data 0.001 (0.001)	Loss 1.5329 (1.8055)	Prec@1 57.031 (52.625)	Prec@5 83.594 (81.982)
Epoch: [80][11730/14090]	Time 0.758 (0.750)	Data 0.002 (0.001)	Loss 2.0814 (1.8055)	Prec@1 46.094 (52.624)	Prec@5 79.688 (81.983)
Epoch: [80][11740/14090]	Time 0.742 (0.750)	Data 0.001 (0.001)	Loss 1.7397 (1.8055)	Prec@1 52.344 (52.624)	Prec@5 82.031 (81.983)
Epoch: [80][11750/14090]	Time 0.753 (0.750)	Data 0.001 (0.001)	Loss 1.6434 (1.8055)	Prec@1 56.250 (52.626)	Prec@5 85.156 (81.982)
Epoch: [80][11760/14090]	Time 0.751 (0.750)	Data 0.001 (0.001)	Loss 1.9082 (1.8056)	Prec@1 50.781 (52.624)	Prec@5 81.250 (81.981)
Epoch: [80][11770/14090]	Time 0.733 (0.750)	Data 0.001 (0.001)	Loss 1.8829 (1.8056)	Prec@1 47.656 (52.624)	Prec@5 82.812 (81.980)
Epoch: [80][11780/14090]	Time 0.747 (0.750)	Data 0.001 (0.001)	Loss 1.7191 (1.8055)	Prec@1 60.156 (52.627)	Prec@5 81.250 (81.982)
Epoch: [80][11790/14090]	Time 0.736 (0.750)	Data 0.001 (0.001)	Loss 1.7768 (1.8055)	Prec@1 50.000 (52.626)	Prec@5 85.156 (81.982)
Epoch: [80][11800/14090]	Time 0.753 (0.750)	Data 0.002 (0.001)	Loss 1.6603 (1.8056)	Prec@1 57.812 (52.625)	Prec@5 89.062 (81.982)
Epoch: [80][11810/14090]	Time 0.741 (0.750)	Data 0.001 (0.001)	Loss 1.7712 (1.8055)	Prec@1 47.656 (52.626)	Prec@5 88.281 (81.984)
Epoch: [80][11820/14090]	Time 0.748 (0.750)	Data 0.001 (0.001)	Loss 1.6084 (1.8055)	Prec@1 55.469 (52.627)	Prec@5 88.281 (81.985)
Epoch: [80][11830/14090]	Time 0.739 (0.750)	Data 0.001 (0.001)	Loss 2.0845 (1.8055)	Prec@1 47.656 (52.627)	Prec@5 74.219 (81.984)
Epoch: [80][11840/14090]	Time 0.728 (0.750)	Data 0.001 (0.001)	Loss 1.7849 (1.8056)	Prec@1 53.125 (52.626)	Prec@5 81.250 (81.983)
Epoch: [80][11850/14090]	Time 0.745 (0.750)	Data 0.001 (0.001)	Loss 1.9870 (1.8056)	Prec@1 48.438 (52.624)	Prec@5 77.344 (81.983)
Epoch: [80][11860/14090]	Time 0.765 (0.750)	Data 0.001 (0.001)	Loss 1.7264 (1.8056)	Prec@1 47.656 (52.624)	Prec@5 88.281 (81.982)
Epoch: [80][11870/14090]	Time 0.747 (0.750)	Data 0.002 (0.001)	Loss 1.7866 (1.8056)	Prec@1 54.688 (52.625)	Prec@5 83.594 (81.983)
Epoch: [80][11880/14090]	Time 0.738 (0.750)	Data 0.001 (0.001)	Loss 1.6529 (1.8056)	Prec@1 57.031 (52.626)	Prec@5 85.156 (81.983)
Epoch: [80][11890/14090]	Time 0.753 (0.750)	Data 0.001 (0.001)	Loss 1.7628 (1.8056)	Prec@1 54.688 (52.626)	Prec@5 85.938 (81.984)
Epoch: [80][11900/14090]	Time 0.732 (0.750)	Data 0.001 (0.001)	Loss 1.9663 (1.8056)	Prec@1 48.438 (52.624)	Prec@5 80.469 (81.983)
Epoch: [80][11910/14090]	Time 0.749 (0.750)	Data 0.001 (0.001)	Loss 1.7083 (1.8057)	Prec@1 52.344 (52.624)	Prec@5 85.156 (81.982)
Epoch: [80][11920/14090]	Time 0.743 (0.750)	Data 0.001 (0.001)	Loss 2.0560 (1.8058)	Prec@1 42.188 (52.623)	Prec@5 78.125 (81.980)
Epoch: [80][11930/14090]	Time 0.755 (0.750)	Data 0.001 (0.001)	Loss 1.7642 (1.8058)	Prec@1 51.562 (52.622)	Prec@5 83.594 (81.980)
Epoch: [80][11940/14090]	Time 0.758 (0.750)	Data 0.002 (0.001)	Loss 2.0863 (1.8058)	Prec@1 43.750 (52.621)	Prec@5 78.125 (81.979)
Epoch: [80][11950/14090]	Time 0.733 (0.750)	Data 0.001 (0.001)	Loss 1.8957 (1.8058)	Prec@1 51.562 (52.622)	Prec@5 80.469 (81.979)
Epoch: [80][11960/14090]	Time 0.745 (0.750)	Data 0.001 (0.001)	Loss 1.5701 (1.8058)	Prec@1 51.562 (52.622)	Prec@5 88.281 (81.980)
Epoch: [80][11970/14090]	Time 0.763 (0.750)	Data 0.001 (0.001)	Loss 1.8557 (1.8058)	Prec@1 49.219 (52.623)	Prec@5 78.906 (81.979)
Epoch: [80][11980/14090]	Time 0.749 (0.750)	Data 0.001 (0.001)	Loss 1.7486 (1.8058)	Prec@1 49.219 (52.623)	Prec@5 86.719 (81.979)
Epoch: [80][11990/14090]	Time 0.727 (0.750)	Data 0.001 (0.001)	Loss 1.8836 (1.8059)	Prec@1 50.781 (52.621)	Prec@5 78.125 (81.977)
Epoch: [80][12000/14090]	Time 0.747 (0.750)	Data 0.001 (0.001)	Loss 1.7412 (1.8059)	Prec@1 50.781 (52.619)	Prec@5 83.594 (81.977)
Epoch: [80][12010/14090]	Time 0.739 (0.750)	Data 0.002 (0.001)	Loss 2.1261 (1.8059)	Prec@1 48.438 (52.622)	Prec@5 77.344 (81.978)
Epoch: [80][12020/14090]	Time 0.747 (0.750)	Data 0.001 (0.001)	Loss 1.4306 (1.8059)	Prec@1 57.031 (52.622)	Prec@5 90.625 (81.978)
Epoch: [80][12030/14090]	Time 0.779 (0.750)	Data 0.001 (0.001)	Loss 1.9122 (1.8059)	Prec@1 53.906 (52.621)	Prec@5 78.906 (81.977)
Epoch: [80][12040/14090]	Time 0.784 (0.750)	Data 0.001 (0.001)	Loss 1.7349 (1.8059)	Prec@1 53.125 (52.623)	Prec@5 82.812 (81.978)
Epoch: [80][12050/14090]	Time 0.729 (0.750)	Data 0.001 (0.001)	Loss 1.6948 (1.8058)	Prec@1 60.938 (52.626)	Prec@5 82.812 (81.978)
Epoch: [80][12060/14090]	Time 0.756 (0.750)	Data 0.001 (0.001)	Loss 1.9423 (1.8057)	Prec@1 46.875 (52.627)	Prec@5 82.812 (81.978)
Epoch: [80][12070/14090]	Time 0.743 (0.750)	Data 0.001 (0.001)	Loss 1.8087 (1.8058)	Prec@1 45.312 (52.626)	Prec@5 83.594 (81.977)
Epoch: [80][12080/14090]	Time 0.770 (0.750)	Data 0.002 (0.001)	Loss 1.9261 (1.8058)	Prec@1 51.562 (52.626)	Prec@5 78.906 (81.976)
Epoch: [80][12090/14090]	Time 0.740 (0.750)	Data 0.001 (0.001)	Loss 1.6185 (1.8058)	Prec@1 53.125 (52.625)	Prec@5 85.156 (81.977)
Epoch: [80][12100/14090]	Time 0.776 (0.750)	Data 0.001 (0.001)	Loss 1.8830 (1.8059)	Prec@1 50.000 (52.625)	Prec@5 78.125 (81.976)
Epoch: [80][12110/14090]	Time 0.743 (0.750)	Data 0.001 (0.001)	Loss 1.9781 (1.8058)	Prec@1 46.875 (52.626)	Prec@5 82.031 (81.977)
Epoch: [80][12120/14090]	Time 0.777 (0.750)	Data 0.001 (0.001)	Loss 1.8817 (1.8059)	Prec@1 48.438 (52.625)	Prec@5 81.250 (81.977)
Epoch: [80][12130/14090]	Time 0.728 (0.750)	Data 0.001 (0.001)	Loss 1.6348 (1.8058)	Prec@1 55.469 (52.627)	Prec@5 88.281 (81.979)
Epoch: [80][12140/14090]	Time 0.745 (0.750)	Data 0.001 (0.001)	Loss 1.7103 (1.8058)	Prec@1 58.594 (52.627)	Prec@5 82.812 (81.979)
Epoch: [80][12150/14090]	Time 0.746 (0.750)	Data 0.002 (0.001)	Loss 1.5598 (1.8057)	Prec@1 53.906 (52.627)	Prec@5 85.156 (81.978)
Epoch: [80][12160/14090]	Time 0.737 (0.750)	Data 0.001 (0.001)	Loss 2.1601 (1.8059)	Prec@1 46.094 (52.625)	Prec@5 75.781 (81.976)
Epoch: [80][12170/14090]	Time 0.744 (0.750)	Data 0.001 (0.001)	Loss 1.5088 (1.8058)	Prec@1 54.688 (52.626)	Prec@5 84.375 (81.976)
Epoch: [80][12180/14090]	Time 0.756 (0.750)	Data 0.001 (0.001)	Loss 1.8732 (1.8058)	Prec@1 53.125 (52.628)	Prec@5 80.469 (81.976)
Epoch: [80][12190/14090]	Time 0.756 (0.750)	Data 0.001 (0.001)	Loss 1.8580 (1.8058)	Prec@1 53.125 (52.629)	Prec@5 81.250 (81.976)
Epoch: [80][12200/14090]	Time 0.738 (0.750)	Data 0.001 (0.001)	Loss 1.8456 (1.8057)	Prec@1 50.000 (52.630)	Prec@5 81.250 (81.977)
Epoch: [80][12210/14090]	Time 0.734 (0.750)	Data 0.001 (0.001)	Loss 1.7036 (1.8058)	Prec@1 57.812 (52.628)	Prec@5 82.031 (81.977)
Epoch: [80][12220/14090]	Time 0.755 (0.750)	Data 0.002 (0.001)	Loss 1.7956 (1.8058)	Prec@1 50.000 (52.628)	Prec@5 82.812 (81.977)
Epoch: [80][12230/14090]	Time 0.754 (0.750)	Data 0.001 (0.001)	Loss 1.8244 (1.8058)	Prec@1 55.469 (52.629)	Prec@5 82.031 (81.977)
Epoch: [80][12240/14090]	Time 0.762 (0.750)	Data 0.001 (0.001)	Loss 1.5555 (1.8057)	Prec@1 59.375 (52.628)	Prec@5 84.375 (81.979)
Epoch: [80][12250/14090]	Time 0.732 (0.750)	Data 0.001 (0.001)	Loss 1.8742 (1.8057)	Prec@1 50.781 (52.627)	Prec@5 82.812 (81.979)
Epoch: [80][12260/14090]	Time 0.745 (0.750)	Data 0.001 (0.001)	Loss 1.7568 (1.8057)	Prec@1 55.469 (52.627)	Prec@5 84.375 (81.980)
Epoch: [80][12270/14090]	Time 0.742 (0.750)	Data 0.001 (0.001)	Loss 1.8418 (1.8057)	Prec@1 53.125 (52.627)	Prec@5 79.688 (81.979)
Epoch: [80][12280/14090]	Time 0.745 (0.750)	Data 0.001 (0.001)	Loss 1.7775 (1.8057)	Prec@1 53.906 (52.625)	Prec@5 82.031 (81.979)
Epoch: [80][12290/14090]	Time 0.745 (0.750)	Data 0.002 (0.001)	Loss 1.6503 (1.8057)	Prec@1 57.031 (52.624)	Prec@5 84.375 (81.979)
Epoch: [80][12300/14090]	Time 0.757 (0.750)	Data 0.001 (0.001)	Loss 1.8127 (1.8057)	Prec@1 47.656 (52.625)	Prec@5 82.031 (81.980)
Epoch: [80][12310/14090]	Time 0.771 (0.750)	Data 0.001 (0.001)	Loss 1.5564 (1.8057)	Prec@1 61.719 (52.625)	Prec@5 82.812 (81.980)
Epoch: [80][12320/14090]	Time 0.749 (0.750)	Data 0.001 (0.001)	Loss 1.7967 (1.8057)	Prec@1 50.781 (52.624)	Prec@5 82.812 (81.980)
Epoch: [80][12330/14090]	Time 0.728 (0.750)	Data 0.001 (0.001)	Loss 1.7797 (1.8057)	Prec@1 49.219 (52.623)	Prec@5 85.156 (81.980)
Epoch: [80][12340/14090]	Time 0.753 (0.750)	Data 0.001 (0.001)	Loss 1.5890 (1.8057)	Prec@1 59.375 (52.622)	Prec@5 85.938 (81.980)
Epoch: [80][12350/14090]	Time 0.746 (0.750)	Data 0.001 (0.001)	Loss 1.7004 (1.8057)	Prec@1 56.250 (52.623)	Prec@5 86.719 (81.981)
Epoch: [80][12360/14090]	Time 0.733 (0.750)	Data 0.002 (0.001)	Loss 1.8216 (1.8057)	Prec@1 50.781 (52.623)	Prec@5 83.594 (81.981)
Epoch: [80][12370/14090]	Time 0.759 (0.750)	Data 0.001 (0.001)	Loss 1.9218 (1.8058)	Prec@1 52.344 (52.621)	Prec@5 82.812 (81.979)
Epoch: [80][12380/14090]	Time 0.743 (0.750)	Data 0.001 (0.001)	Loss 1.7835 (1.8058)	Prec@1 53.125 (52.622)	Prec@5 81.250 (81.980)
Epoch: [80][12390/14090]	Time 0.734 (0.750)	Data 0.001 (0.001)	Loss 1.8170 (1.8058)	Prec@1 56.250 (52.621)	Prec@5 81.250 (81.977)
Epoch: [80][12400/14090]	Time 0.750 (0.750)	Data 0.001 (0.001)	Loss 1.9900 (1.8058)	Prec@1 52.344 (52.621)	Prec@5 78.125 (81.977)
Epoch: [80][12410/14090]	Time 0.755 (0.750)	Data 0.001 (0.001)	Loss 2.0713 (1.8058)	Prec@1 46.875 (52.622)	Prec@5 80.469 (81.977)
Epoch: [80][12420/14090]	Time 0.780 (0.750)	Data 0.001 (0.001)	Loss 1.8172 (1.8058)	Prec@1 51.562 (52.622)	Prec@5 86.719 (81.977)
Epoch: [80][12430/14090]	Time 0.751 (0.750)	Data 0.002 (0.001)	Loss 1.9488 (1.8058)	Prec@1 50.781 (52.621)	Prec@5 77.344 (81.976)
Epoch: [80][12440/14090]	Time 0.765 (0.750)	Data 0.001 (0.001)	Loss 2.0013 (1.8059)	Prec@1 53.906 (52.621)	Prec@5 79.688 (81.975)
Epoch: [80][12450/14090]	Time 0.754 (0.750)	Data 0.001 (0.001)	Loss 1.7933 (1.8059)	Prec@1 53.906 (52.620)	Prec@5 82.812 (81.975)
Epoch: [80][12460/14090]	Time 0.746 (0.750)	Data 0.001 (0.001)	Loss 1.8241 (1.8059)	Prec@1 57.031 (52.622)	Prec@5 83.594 (81.975)
Epoch: [80][12470/14090]	Time 0.743 (0.750)	Data 0.001 (0.001)	Loss 1.9210 (1.8059)	Prec@1 52.344 (52.623)	Prec@5 78.125 (81.974)
Epoch: [80][12480/14090]	Time 0.748 (0.750)	Data 0.001 (0.001)	Loss 1.6790 (1.8058)	Prec@1 58.594 (52.624)	Prec@5 85.938 (81.976)
Epoch: [80][12490/14090]	Time 0.740 (0.750)	Data 0.001 (0.001)	Loss 2.0412 (1.8058)	Prec@1 45.312 (52.625)	Prec@5 75.781 (81.974)
Epoch: [80][12500/14090]	Time 0.771 (0.750)	Data 0.002 (0.001)	Loss 1.9513 (1.8058)	Prec@1 46.094 (52.624)	Prec@5 80.469 (81.975)
Epoch: [80][12510/14090]	Time 0.738 (0.750)	Data 0.001 (0.001)	Loss 1.9062 (1.8058)	Prec@1 51.562 (52.624)	Prec@5 80.469 (81.975)
Epoch: [80][12520/14090]	Time 0.733 (0.750)	Data 0.001 (0.001)	Loss 1.5995 (1.8058)	Prec@1 55.469 (52.624)	Prec@5 87.500 (81.975)
Epoch: [80][12530/14090]	Time 0.744 (0.750)	Data 0.001 (0.001)	Loss 1.8899 (1.8059)	Prec@1 52.344 (52.623)	Prec@5 78.906 (81.974)
Epoch: [80][12540/14090]	Time 0.730 (0.750)	Data 0.001 (0.001)	Loss 1.9337 (1.8058)	Prec@1 48.438 (52.625)	Prec@5 77.344 (81.975)
Epoch: [80][12550/14090]	Time 0.752 (0.750)	Data 0.001 (0.001)	Loss 2.0612 (1.8059)	Prec@1 48.438 (52.624)	Prec@5 75.000 (81.974)
Epoch: [80][12560/14090]	Time 0.756 (0.750)	Data 0.001 (0.001)	Loss 2.1987 (1.8059)	Prec@1 48.438 (52.622)	Prec@5 72.656 (81.973)
Epoch: [80][12570/14090]	Time 0.730 (0.750)	Data 0.002 (0.001)	Loss 1.8752 (1.8060)	Prec@1 47.656 (52.619)	Prec@5 79.688 (81.972)
Epoch: [80][12580/14090]	Time 0.768 (0.750)	Data 0.001 (0.001)	Loss 1.9026 (1.8061)	Prec@1 50.000 (52.617)	Prec@5 79.688 (81.971)
Epoch: [80][12590/14090]	Time 0.750 (0.750)	Data 0.001 (0.001)	Loss 2.0818 (1.8061)	Prec@1 47.656 (52.616)	Prec@5 74.219 (81.970)
Epoch: [80][12600/14090]	Time 0.777 (0.750)	Data 0.001 (0.001)	Loss 1.8423 (1.8061)	Prec@1 53.906 (52.616)	Prec@5 82.031 (81.970)
Epoch: [80][12610/14090]	Time 0.728 (0.750)	Data 0.001 (0.001)	Loss 2.0278 (1.8061)	Prec@1 46.875 (52.616)	Prec@5 74.219 (81.970)
Epoch: [80][12620/14090]	Time 0.766 (0.750)	Data 0.001 (0.001)	Loss 1.4328 (1.8060)	Prec@1 65.625 (52.617)	Prec@5 89.844 (81.970)
Epoch: [80][12630/14090]	Time 0.751 (0.750)	Data 0.001 (0.001)	Loss 1.9643 (1.8060)	Prec@1 50.781 (52.617)	Prec@5 78.906 (81.971)
Epoch: [80][12640/14090]	Time 0.755 (0.750)	Data 0.002 (0.001)	Loss 1.8604 (1.8060)	Prec@1 53.125 (52.617)	Prec@5 79.688 (81.973)
Epoch: [80][12650/14090]	Time 0.766 (0.750)	Data 0.001 (0.001)	Loss 1.7615 (1.8060)	Prec@1 53.125 (52.617)	Prec@5 79.688 (81.972)
Epoch: [80][12660/14090]	Time 0.748 (0.750)	Data 0.001 (0.001)	Loss 1.6840 (1.8060)	Prec@1 55.469 (52.616)	Prec@5 86.719 (81.972)
Epoch: [80][12670/14090]	Time 0.759 (0.750)	Data 0.001 (0.001)	Loss 1.7673 (1.8061)	Prec@1 52.344 (52.614)	Prec@5 79.688 (81.971)
Epoch: [80][12680/14090]	Time 0.753 (0.750)	Data 0.001 (0.001)	Loss 1.6017 (1.8060)	Prec@1 53.906 (52.614)	Prec@5 82.812 (81.971)
Epoch: [80][12690/14090]	Time 0.759 (0.750)	Data 0.001 (0.001)	Loss 1.9751 (1.8061)	Prec@1 53.125 (52.614)	Prec@5 76.562 (81.969)
Epoch: [80][12700/14090]	Time 0.755 (0.750)	Data 0.001 (0.001)	Loss 2.0127 (1.8061)	Prec@1 44.531 (52.614)	Prec@5 78.125 (81.969)
Epoch: [80][12710/14090]	Time 0.780 (0.750)	Data 0.002 (0.001)	Loss 1.8269 (1.8061)	Prec@1 53.125 (52.614)	Prec@5 85.938 (81.969)
Epoch: [80][12720/14090]	Time 0.738 (0.750)	Data 0.001 (0.001)	Loss 1.8605 (1.8061)	Prec@1 48.438 (52.615)	Prec@5 80.469 (81.969)
Epoch: [80][12730/14090]	Time 0.726 (0.750)	Data 0.001 (0.001)	Loss 1.6060 (1.8061)	Prec@1 55.469 (52.615)	Prec@5 88.281 (81.970)
Epoch: [80][12740/14090]	Time 0.760 (0.750)	Data 0.001 (0.001)	Loss 1.6412 (1.8061)	Prec@1 57.812 (52.616)	Prec@5 85.938 (81.969)
Epoch: [80][12750/14090]	Time 0.757 (0.750)	Data 0.001 (0.001)	Loss 1.8537 (1.8061)	Prec@1 53.125 (52.615)	Prec@5 77.344 (81.968)
Epoch: [80][12760/14090]	Time 0.747 (0.750)	Data 0.001 (0.001)	Loss 1.8853 (1.8061)	Prec@1 56.250 (52.616)	Prec@5 78.125 (81.968)
Epoch: [80][12770/14090]	Time 0.767 (0.750)	Data 0.001 (0.001)	Loss 1.8425 (1.8061)	Prec@1 50.000 (52.614)	Prec@5 84.375 (81.968)
Epoch: [80][12780/14090]	Time 0.742 (0.750)	Data 0.002 (0.001)	Loss 1.7628 (1.8062)	Prec@1 51.562 (52.614)	Prec@5 84.375 (81.968)
Epoch: [80][12790/14090]	Time 0.786 (0.750)	Data 0.001 (0.001)	Loss 1.9118 (1.8062)	Prec@1 53.125 (52.612)	Prec@5 78.125 (81.967)
Epoch: [80][12800/14090]	Time 0.743 (0.750)	Data 0.001 (0.001)	Loss 1.7402 (1.8062)	Prec@1 57.031 (52.612)	Prec@5 84.375 (81.967)
Epoch: [80][12810/14090]	Time 0.746 (0.750)	Data 0.001 (0.001)	Loss 1.9295 (1.8062)	Prec@1 50.781 (52.612)	Prec@5 78.906 (81.967)
Epoch: [80][12820/14090]	Time 0.754 (0.750)	Data 0.001 (0.001)	Loss 1.6906 (1.8062)	Prec@1 52.344 (52.612)	Prec@5 84.375 (81.967)
Epoch: [80][12830/14090]	Time 0.752 (0.750)	Data 0.001 (0.001)	Loss 1.7426 (1.8062)	Prec@1 48.438 (52.611)	Prec@5 86.719 (81.969)
Epoch: [80][12840/14090]	Time 0.743 (0.750)	Data 0.001 (0.001)	Loss 1.5628 (1.8062)	Prec@1 49.219 (52.610)	Prec@5 85.156 (81.968)
Epoch: [80][12850/14090]	Time 0.737 (0.750)	Data 0.002 (0.001)	Loss 1.7737 (1.8062)	Prec@1 50.781 (52.609)	Prec@5 79.688 (81.967)
Epoch: [80][12860/14090]	Time 0.755 (0.750)	Data 0.001 (0.001)	Loss 1.8325 (1.8063)	Prec@1 51.562 (52.608)	Prec@5 82.031 (81.967)
Epoch: [80][12870/14090]	Time 0.777 (0.750)	Data 0.001 (0.001)	Loss 1.9043 (1.8063)	Prec@1 53.125 (52.606)	Prec@5 80.469 (81.968)
Epoch: [80][12880/14090]	Time 0.752 (0.750)	Data 0.001 (0.001)	Loss 1.7293 (1.8063)	Prec@1 56.250 (52.607)	Prec@5 82.812 (81.967)
Epoch: [80][12890/14090]	Time 0.762 (0.750)	Data 0.001 (0.001)	Loss 1.9203 (1.8063)	Prec@1 53.125 (52.606)	Prec@5 84.375 (81.969)
Epoch: [80][12900/14090]	Time 0.757 (0.750)	Data 0.001 (0.001)	Loss 1.6394 (1.8063)	Prec@1 59.375 (52.606)	Prec@5 83.594 (81.969)
Epoch: [80][12910/14090]	Time 0.755 (0.750)	Data 0.001 (0.001)	Loss 1.6613 (1.8063)	Prec@1 54.688 (52.607)	Prec@5 84.375 (81.969)
Epoch: [80][12920/14090]	Time 0.751 (0.750)	Data 0.002 (0.001)	Loss 1.8089 (1.8063)	Prec@1 52.344 (52.607)	Prec@5 78.906 (81.970)
Epoch: [80][12930/14090]	Time 0.740 (0.750)	Data 0.001 (0.001)	Loss 1.5571 (1.8063)	Prec@1 62.500 (52.607)	Prec@5 84.375 (81.968)
Epoch: [80][12940/14090]	Time 0.743 (0.750)	Data 0.001 (0.001)	Loss 1.5684 (1.8063)	Prec@1 57.812 (52.609)	Prec@5 86.719 (81.968)
Epoch: [80][12950/14090]	Time 0.754 (0.750)	Data 0.001 (0.001)	Loss 1.7294 (1.8063)	Prec@1 58.594 (52.610)	Prec@5 81.250 (81.967)
Epoch: [80][12960/14090]	Time 0.750 (0.750)	Data 0.001 (0.001)	Loss 1.8122 (1.8063)	Prec@1 46.875 (52.610)	Prec@5 83.594 (81.967)
Epoch: [80][12970/14090]	Time 0.734 (0.750)	Data 0.001 (0.001)	Loss 1.7558 (1.8063)	Prec@1 50.781 (52.610)	Prec@5 81.250 (81.967)
Epoch: [80][12980/14090]	Time 0.743 (0.750)	Data 0.001 (0.001)	Loss 2.0774 (1.8063)	Prec@1 43.750 (52.609)	Prec@5 77.344 (81.966)
Epoch: [80][12990/14090]	Time 0.777 (0.750)	Data 0.002 (0.001)	Loss 1.8523 (1.8064)	Prec@1 50.000 (52.607)	Prec@5 80.469 (81.965)
Epoch: [80][13000/14090]	Time 0.744 (0.750)	Data 0.001 (0.001)	Loss 1.9570 (1.8064)	Prec@1 46.875 (52.606)	Prec@5 81.250 (81.965)
Epoch: [80][13010/14090]	Time 0.753 (0.750)	Data 0.001 (0.001)	Loss 2.0394 (1.8064)	Prec@1 53.125 (52.607)	Prec@5 76.562 (81.965)
Epoch: [80][13020/14090]	Time 0.755 (0.750)	Data 0.001 (0.001)	Loss 2.0655 (1.8064)	Prec@1 49.219 (52.607)	Prec@5 78.906 (81.965)
Epoch: [80][13030/14090]	Time 0.737 (0.750)	Data 0.001 (0.001)	Loss 2.0502 (1.8065)	Prec@1 47.656 (52.608)	Prec@5 76.562 (81.964)
Epoch: [80][13040/14090]	Time 0.779 (0.750)	Data 0.001 (0.001)	Loss 1.7249 (1.8064)	Prec@1 57.031 (52.609)	Prec@5 82.812 (81.964)
Epoch: [80][13050/14090]	Time 0.743 (0.750)	Data 0.001 (0.001)	Loss 2.0101 (1.8064)	Prec@1 50.000 (52.610)	Prec@5 76.562 (81.964)
Epoch: [80][13060/14090]	Time 0.747 (0.750)	Data 0.002 (0.001)	Loss 1.7717 (1.8065)	Prec@1 51.562 (52.610)	Prec@5 83.594 (81.963)
Epoch: [80][13070/14090]	Time 0.746 (0.750)	Data 0.001 (0.001)	Loss 1.9839 (1.8065)	Prec@1 51.562 (52.608)	Prec@5 76.562 (81.963)
Epoch: [80][13080/14090]	Time 0.746 (0.750)	Data 0.001 (0.001)	Loss 1.7885 (1.8065)	Prec@1 55.469 (52.610)	Prec@5 83.594 (81.964)
Epoch: [80][13090/14090]	Time 0.763 (0.750)	Data 0.001 (0.001)	Loss 1.9355 (1.8065)	Prec@1 42.188 (52.607)	Prec@5 78.906 (81.963)
Epoch: [80][13100/14090]	Time 0.728 (0.750)	Data 0.001 (0.001)	Loss 1.2945 (1.8065)	Prec@1 62.500 (52.607)	Prec@5 89.062 (81.964)
Epoch: [80][13110/14090]	Time 0.744 (0.750)	Data 0.001 (0.001)	Loss 1.9207 (1.8065)	Prec@1 50.781 (52.606)	Prec@5 82.031 (81.965)
Epoch: [80][13120/14090]	Time 0.749 (0.750)	Data 0.001 (0.001)	Loss 1.7380 (1.8065)	Prec@1 53.906 (52.606)	Prec@5 85.156 (81.965)
Epoch: [80][13130/14090]	Time 0.747 (0.750)	Data 0.002 (0.001)	Loss 2.0338 (1.8065)	Prec@1 44.531 (52.607)	Prec@5 78.906 (81.965)
Epoch: [80][13140/14090]	Time 0.740 (0.750)	Data 0.001 (0.001)	Loss 1.9398 (1.8065)	Prec@1 47.656 (52.608)	Prec@5 79.688 (81.965)
Epoch: [80][13150/14090]	Time 0.769 (0.750)	Data 0.001 (0.001)	Loss 1.6970 (1.8065)	Prec@1 55.469 (52.607)	Prec@5 85.156 (81.965)
Epoch: [80][13160/14090]	Time 0.749 (0.750)	Data 0.001 (0.001)	Loss 1.9285 (1.8065)	Prec@1 53.125 (52.607)	Prec@5 82.031 (81.966)
Epoch: [80][13170/14090]	Time 0.720 (0.750)	Data 0.001 (0.001)	Loss 1.7085 (1.8066)	Prec@1 53.125 (52.607)	Prec@5 80.469 (81.965)
Epoch: [80][13180/14090]	Time 0.738 (0.750)	Data 0.001 (0.001)	Loss 1.5689 (1.8065)	Prec@1 61.719 (52.609)	Prec@5 84.375 (81.966)
Epoch: [80][13190/14090]	Time 0.755 (0.750)	Data 0.001 (0.001)	Loss 1.8592 (1.8065)	Prec@1 54.688 (52.609)	Prec@5 82.031 (81.967)
Epoch: [80][13200/14090]	Time 0.722 (0.750)	Data 0.002 (0.001)	Loss 1.9144 (1.8065)	Prec@1 48.438 (52.609)	Prec@5 78.906 (81.967)
Epoch: [80][13210/14090]	Time 0.752 (0.750)	Data 0.001 (0.001)	Loss 1.7246 (1.8065)	Prec@1 50.781 (52.609)	Prec@5 83.594 (81.967)
Epoch: [80][13220/14090]	Time 0.745 (0.750)	Data 0.001 (0.001)	Loss 1.7378 (1.8065)	Prec@1 60.156 (52.609)	Prec@5 83.594 (81.966)
Epoch: [80][13230/14090]	Time 0.744 (0.750)	Data 0.001 (0.001)	Loss 1.7390 (1.8065)	Prec@1 53.125 (52.608)	Prec@5 85.156 (81.966)
Epoch: [80][13240/14090]	Time 0.781 (0.750)	Data 0.001 (0.001)	Loss 2.0486 (1.8065)	Prec@1 41.406 (52.606)	Prec@5 79.688 (81.966)
Epoch: [80][13250/14090]	Time 0.745 (0.750)	Data 0.001 (0.001)	Loss 1.7755 (1.8066)	Prec@1 54.688 (52.606)	Prec@5 85.156 (81.966)
Epoch: [80][13260/14090]	Time 0.736 (0.750)	Data 0.001 (0.001)	Loss 2.0901 (1.8067)	Prec@1 47.656 (52.604)	Prec@5 75.781 (81.964)
Epoch: [80][13270/14090]	Time 0.758 (0.750)	Data 0.002 (0.001)	Loss 1.8973 (1.8066)	Prec@1 49.219 (52.604)	Prec@5 79.688 (81.965)
Epoch: [80][13280/14090]	Time 0.739 (0.750)	Data 0.001 (0.001)	Loss 1.7193 (1.8066)	Prec@1 51.562 (52.604)	Prec@5 85.938 (81.966)
Epoch: [80][13290/14090]	Time 0.738 (0.750)	Data 0.001 (0.001)	Loss 1.7938 (1.8066)	Prec@1 53.125 (52.604)	Prec@5 82.031 (81.966)
Epoch: [80][13300/14090]	Time 0.774 (0.750)	Data 0.001 (0.001)	Loss 1.7758 (1.8066)	Prec@1 57.031 (52.604)	Prec@5 79.688 (81.965)
Epoch: [80][13310/14090]	Time 0.745 (0.750)	Data 0.001 (0.001)	Loss 1.7697 (1.8067)	Prec@1 53.125 (52.602)	Prec@5 85.156 (81.964)
Epoch: [80][13320/14090]	Time 0.755 (0.750)	Data 0.001 (0.001)	Loss 1.7272 (1.8068)	Prec@1 53.906 (52.601)	Prec@5 83.594 (81.962)
Epoch: [80][13330/14090]	Time 0.757 (0.750)	Data 0.001 (0.001)	Loss 1.8501 (1.8068)	Prec@1 53.906 (52.600)	Prec@5 81.250 (81.961)
Epoch: [80][13340/14090]	Time 0.747 (0.750)	Data 0.002 (0.001)	Loss 1.6568 (1.8068)	Prec@1 53.906 (52.598)	Prec@5 88.281 (81.962)
Epoch: [80][13350/14090]	Time 0.746 (0.750)	Data 0.001 (0.001)	Loss 1.9405 (1.8069)	Prec@1 50.781 (52.597)	Prec@5 78.125 (81.961)
Epoch: [80][13360/14090]	Time 0.740 (0.750)	Data 0.001 (0.001)	Loss 1.6578 (1.8068)	Prec@1 56.250 (52.598)	Prec@5 82.031 (81.961)
Epoch: [80][13370/14090]	Time 0.765 (0.750)	Data 0.001 (0.001)	Loss 1.7430 (1.8068)	Prec@1 53.906 (52.599)	Prec@5 84.375 (81.961)
Epoch: [80][13380/14090]	Time 0.737 (0.750)	Data 0.001 (0.001)	Loss 1.9204 (1.8068)	Prec@1 53.125 (52.598)	Prec@5 82.812 (81.961)
Epoch: [80][13390/14090]	Time 0.738 (0.750)	Data 0.001 (0.001)	Loss 1.6443 (1.8069)	Prec@1 60.156 (52.598)	Prec@5 79.688 (81.960)
Epoch: [80][13400/14090]	Time 0.776 (0.750)	Data 0.001 (0.001)	Loss 2.2786 (1.8069)	Prec@1 42.188 (52.597)	Prec@5 69.531 (81.958)
Epoch: [80][13410/14090]	Time 0.745 (0.750)	Data 0.002 (0.001)	Loss 1.8395 (1.8069)	Prec@1 57.812 (52.597)	Prec@5 82.031 (81.959)
Epoch: [80][13420/14090]	Time 0.751 (0.750)	Data 0.001 (0.001)	Loss 1.9713 (1.8069)	Prec@1 51.562 (52.596)	Prec@5 76.562 (81.959)
Epoch: [80][13430/14090]	Time 0.753 (0.750)	Data 0.001 (0.001)	Loss 1.4822 (1.8069)	Prec@1 59.375 (52.596)	Prec@5 90.625 (81.959)
Epoch: [80][13440/14090]	Time 0.757 (0.750)	Data 0.001 (0.001)	Loss 1.9699 (1.8069)	Prec@1 50.000 (52.597)	Prec@5 77.344 (81.960)
Epoch: [80][13450/14090]	Time 0.738 (0.750)	Data 0.001 (0.001)	Loss 1.4741 (1.8069)	Prec@1 63.281 (52.596)	Prec@5 86.719 (81.959)
Epoch: [80][13460/14090]	Time 0.762 (0.750)	Data 0.001 (0.001)	Loss 1.7607 (1.8070)	Prec@1 50.000 (52.595)	Prec@5 85.156 (81.958)
Epoch: [80][13470/14090]	Time 0.755 (0.750)	Data 0.001 (0.001)	Loss 1.7658 (1.8069)	Prec@1 54.688 (52.595)	Prec@5 82.812 (81.959)
Epoch: [80][13480/14090]	Time 0.745 (0.750)	Data 0.002 (0.001)	Loss 1.6611 (1.8069)	Prec@1 60.938 (52.595)	Prec@5 82.031 (81.959)
Epoch: [80][13490/14090]	Time 0.744 (0.750)	Data 0.001 (0.001)	Loss 1.7624 (1.8069)	Prec@1 51.562 (52.596)	Prec@5 85.938 (81.958)
Epoch: [80][13500/14090]	Time 0.737 (0.750)	Data 0.001 (0.001)	Loss 2.0161 (1.8069)	Prec@1 46.094 (52.596)	Prec@5 78.125 (81.957)
Epoch: [80][13510/14090]	Time 0.743 (0.750)	Data 0.001 (0.001)	Loss 1.8231 (1.8070)	Prec@1 50.000 (52.595)	Prec@5 85.156 (81.957)
Epoch: [80][13520/14090]	Time 0.741 (0.750)	Data 0.001 (0.001)	Loss 1.7635 (1.8070)	Prec@1 53.906 (52.595)	Prec@5 83.594 (81.956)
Epoch: [80][13530/14090]	Time 0.754 (0.750)	Data 0.001 (0.001)	Loss 1.8857 (1.8070)	Prec@1 51.562 (52.595)	Prec@5 78.906 (81.956)
Epoch: [80][13540/14090]	Time 0.724 (0.750)	Data 0.001 (0.001)	Loss 1.9913 (1.8070)	Prec@1 51.562 (52.594)	Prec@5 78.906 (81.955)
Epoch: [80][13550/14090]	Time 0.750 (0.750)	Data 0.002 (0.001)	Loss 1.6882 (1.8071)	Prec@1 53.906 (52.593)	Prec@5 83.594 (81.954)
Epoch: [80][13560/14090]	Time 0.796 (0.750)	Data 0.001 (0.001)	Loss 1.7671 (1.8071)	Prec@1 54.688 (52.592)	Prec@5 84.375 (81.954)
Epoch: [80][13570/14090]	Time 0.734 (0.750)	Data 0.001 (0.001)	Loss 1.9957 (1.8071)	Prec@1 50.781 (52.591)	Prec@5 80.469 (81.953)
Epoch: [80][13580/14090]	Time 0.726 (0.750)	Data 0.001 (0.001)	Loss 1.8819 (1.8071)	Prec@1 47.656 (52.590)	Prec@5 79.688 (81.952)
Epoch: [80][13590/14090]	Time 0.747 (0.750)	Data 0.001 (0.001)	Loss 1.7168 (1.8071)	Prec@1 56.250 (52.590)	Prec@5 86.719 (81.953)
Epoch: [80][13600/14090]	Time 0.757 (0.750)	Data 0.001 (0.001)	Loss 1.7414 (1.8072)	Prec@1 56.250 (52.590)	Prec@5 85.938 (81.953)
Epoch: [80][13610/14090]	Time 0.749 (0.750)	Data 0.001 (0.001)	Loss 1.7131 (1.8072)	Prec@1 56.250 (52.589)	Prec@5 83.594 (81.953)
Epoch: [80][13620/14090]	Time 0.731 (0.750)	Data 0.002 (0.001)	Loss 1.6704 (1.8071)	Prec@1 56.250 (52.590)	Prec@5 83.594 (81.954)
Epoch: [80][13630/14090]	Time 0.732 (0.750)	Data 0.001 (0.001)	Loss 1.8003 (1.8071)	Prec@1 52.344 (52.589)	Prec@5 77.344 (81.954)
Epoch: [80][13640/14090]	Time 0.761 (0.750)	Data 0.001 (0.001)	Loss 1.4506 (1.8071)	Prec@1 62.500 (52.590)	Prec@5 88.281 (81.954)
Epoch: [80][13650/14090]	Time 0.743 (0.750)	Data 0.001 (0.001)	Loss 1.9284 (1.8071)	Prec@1 47.656 (52.589)	Prec@5 83.594 (81.955)
Epoch: [80][13660/14090]	Time 0.737 (0.750)	Data 0.001 (0.001)	Loss 1.8259 (1.8071)	Prec@1 48.438 (52.590)	Prec@5 82.812 (81.955)
Epoch: [80][13670/14090]	Time 0.732 (0.750)	Data 0.001 (0.001)	Loss 1.7798 (1.8071)	Prec@1 52.344 (52.589)	Prec@5 79.688 (81.954)
Epoch: [80][13680/14090]	Time 0.731 (0.750)	Data 0.001 (0.001)	Loss 2.0491 (1.8072)	Prec@1 44.531 (52.589)	Prec@5 78.125 (81.953)
Epoch: [80][13690/14090]	Time 0.770 (0.750)	Data 0.002 (0.001)	Loss 1.9622 (1.8071)	Prec@1 50.781 (52.589)	Prec@5 77.344 (81.954)
Epoch: [80][13700/14090]	Time 0.758 (0.750)	Data 0.001 (0.001)	Loss 1.6866 (1.8071)	Prec@1 56.250 (52.590)	Prec@5 84.375 (81.956)
Epoch: [80][13710/14090]	Time 0.764 (0.750)	Data 0.001 (0.001)	Loss 1.9512 (1.8071)	Prec@1 49.219 (52.589)	Prec@5 81.250 (81.955)
Epoch: [80][13720/14090]	Time 0.743 (0.750)	Data 0.001 (0.001)	Loss 1.5925 (1.8071)	Prec@1 56.250 (52.590)	Prec@5 84.375 (81.956)
Epoch: [80][13730/14090]	Time 0.773 (0.750)	Data 0.001 (0.001)	Loss 2.0967 (1.8071)	Prec@1 48.438 (52.590)	Prec@5 78.906 (81.957)
Epoch: [80][13740/14090]	Time 0.747 (0.750)	Data 0.001 (0.001)	Loss 2.0137 (1.8071)	Prec@1 46.094 (52.588)	Prec@5 78.906 (81.957)
Epoch: [80][13750/14090]	Time 0.758 (0.750)	Data 0.001 (0.001)	Loss 1.8449 (1.8071)	Prec@1 54.688 (52.588)	Prec@5 82.812 (81.956)
Epoch: [80][13760/14090]	Time 0.738 (0.750)	Data 0.002 (0.001)	Loss 2.0891 (1.8072)	Prec@1 49.219 (52.587)	Prec@5 73.438 (81.956)
Epoch: [80][13770/14090]	Time 0.760 (0.750)	Data 0.001 (0.001)	Loss 1.7531 (1.8072)	Prec@1 54.688 (52.586)	Prec@5 85.938 (81.956)
Epoch: [80][13780/14090]	Time 0.733 (0.750)	Data 0.001 (0.001)	Loss 1.6851 (1.8072)	Prec@1 54.688 (52.587)	Prec@5 82.812 (81.956)
Epoch: [80][13790/14090]	Time 0.749 (0.750)	Data 0.001 (0.001)	Loss 1.7683 (1.8072)	Prec@1 53.906 (52.586)	Prec@5 85.156 (81.957)
Epoch: [80][13800/14090]	Time 0.751 (0.750)	Data 0.001 (0.001)	Loss 1.6900 (1.8072)	Prec@1 52.344 (52.586)	Prec@5 85.156 (81.957)
Epoch: [80][13810/14090]	Time 0.748 (0.750)	Data 0.001 (0.001)	Loss 2.0892 (1.8071)	Prec@1 41.406 (52.587)	Prec@5 74.219 (81.957)
Epoch: [80][13820/14090]	Time 0.753 (0.750)	Data 0.001 (0.001)	Loss 1.6908 (1.8072)	Prec@1 57.031 (52.587)	Prec@5 84.375 (81.956)
Epoch: [80][13830/14090]	Time 0.742 (0.750)	Data 0.002 (0.001)	Loss 1.9255 (1.8072)	Prec@1 50.000 (52.589)	Prec@5 80.469 (81.956)
Epoch: [80][13840/14090]	Time 0.728 (0.750)	Data 0.001 (0.001)	Loss 1.1998 (1.8072)	Prec@1 71.094 (52.588)	Prec@5 92.969 (81.955)
Epoch: [80][13850/14090]	Time 0.761 (0.750)	Data 0.001 (0.001)	Loss 1.7359 (1.8073)	Prec@1 58.594 (52.587)	Prec@5 81.250 (81.954)
Epoch: [80][13860/14090]	Time 0.749 (0.750)	Data 0.001 (0.001)	Loss 1.8064 (1.8073)	Prec@1 56.250 (52.587)	Prec@5 78.125 (81.954)
Epoch: [80][13870/14090]	Time 0.731 (0.750)	Data 0.001 (0.001)	Loss 1.7271 (1.8073)	Prec@1 55.469 (52.588)	Prec@5 82.031 (81.955)
Epoch: [80][13880/14090]	Time 0.773 (0.750)	Data 0.001 (0.001)	Loss 2.0054 (1.8073)	Prec@1 50.000 (52.588)	Prec@5 78.125 (81.953)
Epoch: [80][13890/14090]	Time 0.739 (0.750)	Data 0.001 (0.001)	Loss 1.8768 (1.8073)	Prec@1 47.656 (52.587)	Prec@5 81.250 (81.953)
Epoch: [80][13900/14090]	Time 0.777 (0.750)	Data 0.002 (0.001)	Loss 1.7817 (1.8073)	Prec@1 50.000 (52.588)	Prec@5 80.469 (81.953)
Epoch: [80][13910/14090]	Time 0.772 (0.750)	Data 0.001 (0.001)	Loss 1.6639 (1.8073)	Prec@1 53.906 (52.588)	Prec@5 83.594 (81.952)
Epoch: [80][13920/14090]	Time 0.741 (0.750)	Data 0.001 (0.001)	Loss 1.6896 (1.8073)	Prec@1 54.688 (52.589)	Prec@5 85.938 (81.953)
Epoch: [80][13930/14090]	Time 0.739 (0.750)	Data 0.001 (0.001)	Loss 2.2495 (1.8074)	Prec@1 42.188 (52.587)	Prec@5 73.438 (81.951)
Epoch: [80][13940/14090]	Time 0.775 (0.750)	Data 0.001 (0.001)	Loss 1.8570 (1.8074)	Prec@1 50.000 (52.589)	Prec@5 82.812 (81.951)
Epoch: [80][13950/14090]	Time 0.729 (0.750)	Data 0.001 (0.001)	Loss 1.6313 (1.8074)	Prec@1 53.906 (52.588)	Prec@5 83.594 (81.951)
Epoch: [80][13960/14090]	Time 0.746 (0.750)	Data 0.001 (0.001)	Loss 2.0257 (1.8074)	Prec@1 48.438 (52.586)	Prec@5 82.031 (81.951)
Epoch: [80][13970/14090]	Time 0.737 (0.750)	Data 0.002 (0.001)	Loss 1.6104 (1.8075)	Prec@1 46.875 (52.586)	Prec@5 85.938 (81.950)
Epoch: [80][13980/14090]	Time 0.784 (0.750)	Data 0.001 (0.001)	Loss 1.8703 (1.8075)	Prec@1 53.125 (52.585)	Prec@5 82.812 (81.950)
Epoch: [80][13990/14090]	Time 0.744 (0.750)	Data 0.001 (0.001)	Loss 1.6097 (1.8075)	Prec@1 54.688 (52.585)	Prec@5 86.719 (81.950)
Epoch: [80][14000/14090]	Time 0.725 (0.750)	Data 0.001 (0.001)	Loss 1.7287 (1.8075)	Prec@1 60.938 (52.585)	Prec@5 82.031 (81.950)
Epoch: [80][14010/14090]	Time 0.747 (0.750)	Data 0.001 (0.001)	Loss 2.1754 (1.8075)	Prec@1 45.312 (52.585)	Prec@5 75.000 (81.950)
Epoch: [80][14020/14090]	Time 0.734 (0.750)	Data 0.001 (0.001)	Loss 2.0078 (1.8075)	Prec@1 45.312 (52.585)	Prec@5 78.906 (81.949)
Epoch: [80][14030/14090]	Time 0.759 (0.750)	Data 0.001 (0.001)	Loss 2.0049 (1.8074)	Prec@1 46.875 (52.586)	Prec@5 82.812 (81.951)
Epoch: [80][14040/14090]	Time 0.756 (0.750)	Data 0.002 (0.001)	Loss 1.9770 (1.8074)	Prec@1 45.312 (52.585)	Prec@5 80.469 (81.951)
Epoch: [80][14050/14090]	Time 0.739 (0.750)	Data 0.001 (0.001)	Loss 1.7579 (1.8074)	Prec@1 53.125 (52.585)	Prec@5 78.906 (81.951)
Epoch: [80][14060/14090]	Time 0.756 (0.750)	Data 0.001 (0.001)	Loss 1.6195 (1.8074)	Prec@1 58.594 (52.585)	Prec@5 88.281 (81.950)
Epoch: [80][14070/14090]	Time 0.739 (0.750)	Data 0.001 (0.001)	Loss 1.7489 (1.8074)	Prec@1 50.781 (52.584)	Prec@5 83.594 (81.950)
Epoch: [80][14080/14090]	Time 0.744 (0.750)	Data 0.000 (0.001)	Loss 1.7381 (1.8074)	Prec@1 50.781 (52.585)	Prec@5 78.906 (81.950)
Test: [0/286]	Time 4.340 (4.340)	Loss 1.3969 (1.3969)	Prec@1 57.812 (57.812)	Prec@5 94.531 (94.531)
Test: [10/286]	Time 0.241 (0.704)	Loss 1.9900 (1.8578)	Prec@1 47.656 (51.989)	Prec@5 84.375 (83.239)
Test: [20/286]	Time 0.232 (0.535)	Loss 1.3563 (1.7583)	Prec@1 63.281 (53.199)	Prec@5 89.844 (84.859)
Test: [30/286]	Time 0.234 (0.478)	Loss 1.8205 (1.6708)	Prec@1 53.906 (55.822)	Prec@5 81.250 (85.484)
Test: [40/286]	Time 1.361 (0.476)	Loss 1.6140 (1.6852)	Prec@1 51.562 (55.412)	Prec@5 88.281 (85.252)
Test: [50/286]	Time 0.241 (0.453)	Loss 0.4133 (1.6679)	Prec@1 92.969 (55.423)	Prec@5 95.312 (85.585)
Test: [60/286]	Time 0.231 (0.438)	Loss 2.5462 (1.7037)	Prec@1 35.938 (54.675)	Prec@5 74.219 (84.580)
Test: [70/286]	Time 0.227 (0.426)	Loss 1.2206 (1.6779)	Prec@1 69.531 (55.326)	Prec@5 90.625 (85.057)
Test: [80/286]	Time 1.342 (0.432)	Loss 1.9794 (1.7126)	Prec@1 47.656 (54.234)	Prec@5 81.250 (84.713)
Test: [90/286]	Time 0.361 (0.426)	Loss 1.8883 (1.7242)	Prec@1 46.875 (54.035)	Prec@5 86.719 (84.590)
Test: [100/286]	Time 0.242 (0.419)	Loss 2.1559 (1.7309)	Prec@1 35.938 (53.690)	Prec@5 84.375 (84.653)
Test: [110/286]	Time 0.234 (0.414)	Loss 2.2709 (1.7539)	Prec@1 41.406 (53.181)	Prec@5 73.438 (84.530)
Test: [120/286]	Time 1.333 (0.419)	Loss 1.7540 (1.7415)	Prec@1 55.469 (53.609)	Prec@5 79.688 (84.653)
Test: [130/286]	Time 0.230 (0.414)	Loss 0.7925 (1.7282)	Prec@1 76.562 (54.049)	Prec@5 95.312 (84.870)
Test: [140/286]	Time 0.233 (0.411)	Loss 2.2959 (1.7225)	Prec@1 46.875 (54.161)	Prec@5 73.438 (84.852)
Test: [150/286]	Time 0.232 (0.407)	Loss 2.5511 (1.7354)	Prec@1 33.594 (53.689)	Prec@5 79.688 (84.742)
Test: [160/286]	Time 0.682 (0.411)	Loss 2.5590 (1.7331)	Prec@1 28.906 (53.746)	Prec@5 74.219 (84.744)
Test: [170/286]	Time 0.236 (0.408)	Loss 1.9775 (1.7255)	Prec@1 48.438 (53.870)	Prec@5 77.344 (84.850)
Test: [180/286]	Time 0.234 (0.406)	Loss 1.7793 (1.7357)	Prec@1 60.938 (53.665)	Prec@5 79.688 (84.751)
Test: [190/286]	Time 0.247 (0.404)	Loss 2.8505 (1.7536)	Prec@1 17.188 (53.235)	Prec@5 75.000 (84.580)
Test: [200/286]	Time 0.459 (0.408)	Loss 1.5005 (1.7453)	Prec@1 68.750 (53.467)	Prec@5 89.062 (84.643)
Test: [210/286]	Time 0.264 (0.405)	Loss 1.8444 (1.7477)	Prec@1 54.688 (53.325)	Prec@5 84.375 (84.616)
Test: [220/286]	Time 0.239 (0.403)	Loss 2.6873 (1.7524)	Prec@1 26.562 (53.298)	Prec@5 71.094 (84.460)
Test: [230/286]	Time 0.223 (0.402)	Loss 1.3229 (1.7533)	Prec@1 64.062 (53.297)	Prec@5 89.844 (84.449)
Test: [240/286]	Time 0.431 (0.405)	Loss 1.8854 (1.7496)	Prec@1 50.781 (53.401)	Prec@5 83.594 (84.475)
Test: [250/286]	Time 0.283 (0.403)	Loss 1.8876 (1.7435)	Prec@1 47.656 (53.442)	Prec@5 78.906 (84.630)
Test: [260/286]	Time 0.223 (0.402)	Loss 1.6692 (1.7326)	Prec@1 54.688 (53.769)	Prec@5 86.719 (84.767)
Test: [270/286]	Time 0.224 (0.401)	Loss 1.1749 (1.7340)	Prec@1 69.531 (53.774)	Prec@5 89.844 (84.784)
Test: [280/286]	Time 0.249 (0.404)	Loss 1.7613 (1.7218)	Prec@1 57.812 (54.184)	Prec@5 87.500 (84.878)
 * Prec@1 54.290 Prec@5 84.886
Epoch: [81][0/14090]	Time 5.416 (5.416)	Data 4.640 (4.640)	Loss 1.7254 (1.7254)	Prec@1 52.344 (52.344)	Prec@5 88.281 (88.281)
Epoch: [81][10/14090]	Time 0.836 (1.179)	Data 0.001 (0.423)	Loss 1.7534 (1.7795)	Prec@1 53.906 (54.545)	Prec@5 79.688 (83.239)
Epoch: [81][20/14090]	Time 0.750 (0.973)	Data 0.001 (0.222)	Loss 1.5735 (1.7888)	Prec@1 57.031 (54.241)	Prec@5 84.375 (82.664)
Epoch: [81][30/14090]	Time 0.738 (0.902)	Data 0.001 (0.150)	Loss 1.9090 (1.7821)	Prec@1 50.781 (53.453)	Prec@5 75.781 (82.560)
Epoch: [81][40/14090]	Time 0.754 (0.865)	Data 0.001 (0.114)	Loss 1.6193 (1.7831)	Prec@1 58.594 (53.296)	Prec@5 81.250 (82.431)
Epoch: [81][50/14090]	Time 0.734 (0.844)	Data 0.001 (0.092)	Loss 1.8116 (1.7634)	Prec@1 50.000 (53.814)	Prec@5 82.812 (82.797)
Epoch: [81][60/14090]	Time 0.727 (0.826)	Data 0.001 (0.077)	Loss 1.5518 (1.7601)	Prec@1 60.156 (53.842)	Prec@5 89.844 (82.889)
Epoch: [81][70/14090]	Time 0.757 (0.816)	Data 0.001 (0.066)	Loss 1.6376 (1.7484)	Prec@1 56.250 (53.994)	Prec@5 88.281 (83.033)
Epoch: [81][80/14090]	Time 0.751 (0.808)	Data 0.002 (0.058)	Loss 1.9225 (1.7549)	Prec@1 50.781 (54.003)	Prec@5 78.125 (82.948)
Epoch: [81][90/14090]	Time 0.760 (0.803)	Data 0.001 (0.052)	Loss 1.6142 (1.7549)	Prec@1 56.250 (54.052)	Prec@5 86.719 (83.027)
Epoch: [81][100/14090]	Time 0.760 (0.798)	Data 0.001 (0.047)	Loss 1.9698 (1.7633)	Prec@1 52.344 (53.821)	Prec@5 80.469 (82.836)
Epoch: [81][110/14090]	Time 0.741 (0.794)	Data 0.001 (0.043)	Loss 1.8537 (1.7645)	Prec@1 51.562 (53.836)	Prec@5 79.688 (82.735)
Epoch: [81][120/14090]	Time 0.725 (0.790)	Data 0.001 (0.039)	Loss 1.5828 (1.7604)	Prec@1 59.375 (54.035)	Prec@5 87.500 (82.812)
Epoch: [81][130/14090]	Time 0.790 (0.788)	Data 0.001 (0.036)	Loss 1.4730 (1.7635)	Prec@1 59.375 (53.990)	Prec@5 88.281 (82.705)
Epoch: [81][140/14090]	Time 0.752 (0.786)	Data 0.001 (0.034)	Loss 1.7502 (1.7606)	Prec@1 52.344 (53.945)	Prec@5 85.938 (82.718)
Epoch: [81][150/14090]	Time 0.734 (0.783)	Data 0.002 (0.032)	Loss 1.7213 (1.7626)	Prec@1 53.906 (53.896)	Prec@5 80.469 (82.725)
Epoch: [81][160/14090]	Time 0.760 (0.781)	Data 0.001 (0.030)	Loss 1.5647 (1.7630)	Prec@1 59.375 (53.804)	Prec@5 85.938 (82.711)
Epoch: [81][170/14090]	Time 0.758 (0.780)	Data 0.001 (0.028)	Loss 1.8429 (1.7624)	Prec@1 50.000 (53.746)	Prec@5 78.906 (82.721)
Epoch: [81][180/14090]	Time 0.751 (0.778)	Data 0.001 (0.027)	Loss 1.9479 (1.7679)	Prec@1 46.875 (53.565)	Prec@5 80.469 (82.696)
Epoch: [81][190/14090]	Time 0.724 (0.776)	Data 0.001 (0.025)	Loss 1.7401 (1.7716)	Prec@1 51.562 (53.464)	Prec@5 85.156 (82.641)
Epoch: [81][200/14090]	Time 0.780 (0.775)	Data 0.001 (0.024)	Loss 1.7808 (1.7707)	Prec@1 55.469 (53.467)	Prec@5 82.812 (82.638)
Epoch: [81][210/14090]	Time 0.742 (0.774)	Data 0.001 (0.023)	Loss 1.7018 (1.7724)	Prec@1 53.125 (53.440)	Prec@5 85.156 (82.613)
Epoch: [81][220/14090]	Time 0.737 (0.773)	Data 0.002 (0.022)	Loss 1.7079 (1.7721)	Prec@1 49.219 (53.429)	Prec@5 86.719 (82.622)
Epoch: [81][230/14090]	Time 0.763 (0.773)	Data 0.001 (0.021)	Loss 1.7548 (1.7698)	Prec@1 58.594 (53.541)	Prec@5 78.906 (82.637)
Epoch: [81][240/14090]	Time 0.752 (0.772)	Data 0.001 (0.020)	Loss 1.9702 (1.7720)	Prec@1 44.531 (53.527)	Prec@5 81.250 (82.615)
Epoch: [81][250/14090]	Time 0.773 (0.772)	Data 0.001 (0.019)	Loss 1.5437 (1.7705)	Prec@1 55.469 (53.601)	Prec@5 85.938 (82.620)
Epoch: [81][260/14090]	Time 0.734 (0.771)	Data 0.001 (0.019)	Loss 1.8364 (1.7678)	Prec@1 49.219 (53.664)	Prec@5 83.594 (82.624)
Epoch: [81][270/14090]	Time 0.742 (0.770)	Data 0.001 (0.018)	Loss 1.9552 (1.7721)	Prec@1 46.094 (53.595)	Prec@5 73.438 (82.513)
Epoch: [81][280/14090]	Time 0.769 (0.770)	Data 0.001 (0.017)	Loss 1.7553 (1.7707)	Prec@1 52.344 (53.578)	Prec@5 86.719 (82.559)
Epoch: [81][290/14090]	Time 0.758 (0.769)	Data 0.003 (0.017)	Loss 1.7530 (1.7709)	Prec@1 50.781 (53.576)	Prec@5 83.594 (82.563)
Epoch: [81][300/14090]	Time 0.742 (0.768)	Data 0.001 (0.016)	Loss 1.5542 (1.7714)	Prec@1 60.938 (53.569)	Prec@5 85.938 (82.548)
Epoch: [81][310/14090]	Time 0.740 (0.768)	Data 0.001 (0.016)	Loss 1.7706 (1.7704)	Prec@1 57.812 (53.612)	Prec@5 82.812 (82.586)
Epoch: [81][320/14090]	Time 0.726 (0.768)	Data 0.002 (0.015)	Loss 1.9566 (1.7704)	Prec@1 53.906 (53.648)	Prec@5 81.250 (82.562)
Epoch: [81][330/14090]	Time 0.781 (0.767)	Data 0.001 (0.015)	Loss 1.7475 (1.7692)	Prec@1 50.000 (53.675)	Prec@5 84.375 (82.579)
Epoch: [81][340/14090]	Time 0.750 (0.767)	Data 0.001 (0.015)	Loss 1.7955 (1.7702)	Prec@1 53.125 (53.652)	Prec@5 85.156 (82.572)
Epoch: [81][350/14090]	Time 0.755 (0.766)	Data 0.001 (0.014)	Loss 1.5215 (1.7697)	Prec@1 58.594 (53.686)	Prec@5 86.719 (82.516)
Epoch: [81][360/14090]	Time 0.744 (0.766)	Data 0.002 (0.014)	Loss 1.5715 (1.7697)	Prec@1 63.281 (53.696)	Prec@5 88.281 (82.492)
Epoch: [81][370/14090]	Time 0.719 (0.766)	Data 0.001 (0.013)	Loss 1.8572 (1.7710)	Prec@1 51.562 (53.641)	Prec@5 78.906 (82.442)
Epoch: [81][380/14090]	Time 0.760 (0.765)	Data 0.001 (0.013)	Loss 1.8348 (1.7717)	Prec@1 55.469 (53.638)	Prec@5 75.000 (82.396)
Epoch: [81][390/14090]	Time 0.727 (0.765)	Data 0.001 (0.013)	Loss 1.6271 (1.7733)	Prec@1 54.688 (53.629)	Prec@5 85.156 (82.357)
Epoch: [81][400/14090]	Time 0.754 (0.765)	Data 0.001 (0.013)	Loss 1.6458 (1.7735)	Prec@1 54.688 (53.612)	Prec@5 83.594 (82.355)
Epoch: [81][410/14090]	Time 0.762 (0.764)	Data 0.001 (0.012)	Loss 1.8166 (1.7720)	Prec@1 50.781 (53.640)	Prec@5 82.031 (82.370)
Epoch: [81][420/14090]	Time 0.738 (0.764)	Data 0.001 (0.012)	Loss 1.8781 (1.7721)	Prec@1 49.219 (53.684)	Prec@5 84.375 (82.376)
Epoch: [81][430/14090]	Time 0.757 (0.764)	Data 0.002 (0.012)	Loss 1.8366 (1.7736)	Prec@1 50.781 (53.631)	Prec@5 79.688 (82.361)
Epoch: [81][440/14090]	Time 0.741 (0.764)	Data 0.001 (0.011)	Loss 1.7650 (1.7735)	Prec@1 53.125 (53.641)	Prec@5 80.469 (82.334)
Epoch: [81][450/14090]	Time 0.731 (0.763)	Data 0.001 (0.011)	Loss 1.7352 (1.7732)	Prec@1 57.031 (53.665)	Prec@5 83.594 (82.327)
Epoch: [81][460/14090]	Time 0.743 (0.763)	Data 0.001 (0.011)	Loss 2.0300 (1.7748)	Prec@1 45.312 (53.623)	Prec@5 78.906 (82.319)
Epoch: [81][470/14090]	Time 0.733 (0.763)	Data 0.001 (0.011)	Loss 1.5396 (1.7750)	Prec@1 54.688 (53.589)	Prec@5 86.719 (82.318)
Epoch: [81][480/14090]	Time 0.756 (0.762)	Data 0.001 (0.011)	Loss 1.7294 (1.7744)	Prec@1 57.812 (53.596)	Prec@5 82.812 (82.328)
Epoch: [81][490/14090]	Time 0.747 (0.762)	Data 0.001 (0.010)	Loss 1.9376 (1.7758)	Prec@1 50.000 (53.575)	Prec@5 77.344 (82.292)
Epoch: [81][500/14090]	Time 0.751 (0.762)	Data 0.002 (0.010)	Loss 1.9438 (1.7752)	Prec@1 46.875 (53.590)	Prec@5 78.125 (82.301)
Epoch: [81][510/14090]	Time 0.746 (0.762)	Data 0.001 (0.010)	Loss 1.9480 (1.7745)	Prec@1 49.219 (53.567)	Prec@5 78.906 (82.300)
Epoch: [81][520/14090]	Time 0.759 (0.762)	Data 0.001 (0.010)	Loss 1.8697 (1.7743)	Prec@1 42.188 (53.534)	Prec@5 83.594 (82.325)
Epoch: [81][530/14090]	Time 0.750 (0.762)	Data 0.001 (0.010)	Loss 1.6223 (1.7754)	Prec@1 55.469 (53.534)	Prec@5 86.719 (82.299)
Epoch: [81][540/14090]	Time 0.743 (0.761)	Data 0.001 (0.010)	Loss 1.6227 (1.7744)	Prec@1 55.469 (53.532)	Prec@5 84.375 (82.314)
Epoch: [81][550/14090]	Time 0.734 (0.761)	Data 0.001 (0.009)	Loss 1.7695 (1.7756)	Prec@1 53.125 (53.499)	Prec@5 80.469 (82.281)
Epoch: [81][560/14090]	Time 0.732 (0.761)	Data 0.001 (0.009)	Loss 1.6778 (1.7747)	Prec@1 53.906 (53.495)	Prec@5 83.594 (82.314)
Epoch: [81][570/14090]	Time 0.748 (0.761)	Data 0.002 (0.009)	Loss 1.6949 (1.7747)	Prec@1 55.469 (53.504)	Prec@5 79.688 (82.316)
Epoch: [81][580/14090]	Time 0.782 (0.761)	Data 0.001 (0.009)	Loss 1.8237 (1.7742)	Prec@1 52.344 (53.473)	Prec@5 85.156 (82.328)
Epoch: [81][590/14090]	Time 0.764 (0.761)	Data 0.001 (0.009)	Loss 1.4609 (1.7737)	Prec@1 57.812 (53.448)	Prec@5 88.281 (82.346)
Epoch: [81][600/14090]	Time 0.751 (0.761)	Data 0.001 (0.009)	Loss 1.8585 (1.7746)	Prec@1 50.781 (53.407)	Prec@5 85.156 (82.333)
Epoch: [81][610/14090]	Time 0.734 (0.761)	Data 0.001 (0.009)	Loss 1.7901 (1.7732)	Prec@1 53.125 (53.441)	Prec@5 85.156 (82.356)
Epoch: [81][620/14090]	Time 0.782 (0.761)	Data 0.001 (0.008)	Loss 1.6732 (1.7735)	Prec@1 55.469 (53.441)	Prec@5 80.469 (82.357)
Epoch: [81][630/14090]	Time 0.736 (0.760)	Data 0.001 (0.008)	Loss 1.6879 (1.7743)	Prec@1 61.719 (53.446)	Prec@5 80.469 (82.344)
Epoch: [81][640/14090]	Time 0.785 (0.760)	Data 0.002 (0.008)	Loss 1.7310 (1.7743)	Prec@1 52.344 (53.432)	Prec@5 82.812 (82.341)
Epoch: [81][650/14090]	Time 0.763 (0.760)	Data 0.001 (0.008)	Loss 2.0460 (1.7742)	Prec@1 45.312 (53.407)	Prec@5 78.906 (82.349)
Epoch: [81][660/14090]	Time 0.758 (0.760)	Data 0.001 (0.008)	Loss 1.7807 (1.7734)	Prec@1 49.219 (53.407)	Prec@5 82.812 (82.374)
Epoch: [81][670/14090]	Time 0.742 (0.760)	Data 0.001 (0.008)	Loss 2.0127 (1.7723)	Prec@1 46.875 (53.410)	Prec@5 78.906 (82.396)
Epoch: [81][680/14090]	Time 0.750 (0.760)	Data 0.001 (0.008)	Loss 1.8316 (1.7727)	Prec@1 47.656 (53.382)	Prec@5 85.156 (82.396)
Epoch: [81][690/14090]	Time 0.759 (0.760)	Data 0.001 (0.008)	Loss 1.6975 (1.7741)	Prec@1 57.031 (53.351)	Prec@5 83.594 (82.395)
Epoch: [81][700/14090]	Time 0.764 (0.760)	Data 0.001 (0.008)	Loss 1.6563 (1.7737)	Prec@1 54.688 (53.343)	Prec@5 83.594 (82.407)
Epoch: [81][710/14090]	Time 0.763 (0.759)	Data 0.002 (0.007)	Loss 1.7837 (1.7737)	Prec@1 49.219 (53.325)	Prec@5 82.031 (82.413)
Epoch: [81][720/14090]	Time 0.759 (0.759)	Data 0.001 (0.007)	Loss 1.6085 (1.7733)	Prec@1 63.281 (53.354)	Prec@5 86.719 (82.409)
Epoch: [81][730/14090]	Time 0.738 (0.759)	Data 0.001 (0.007)	Loss 1.9674 (1.7748)	Prec@1 48.438 (53.317)	Prec@5 79.688 (82.384)
Epoch: [81][740/14090]	Time 0.744 (0.759)	Data 0.001 (0.007)	Loss 1.6373 (1.7740)	Prec@1 53.906 (53.317)	Prec@5 88.281 (82.408)
Epoch: [81][750/14090]	Time 0.738 (0.759)	Data 0.001 (0.007)	Loss 1.4825 (1.7733)	Prec@1 55.469 (53.332)	Prec@5 91.406 (82.415)
Epoch: [81][760/14090]	Time 0.759 (0.759)	Data 0.001 (0.007)	Loss 1.8226 (1.7739)	Prec@1 50.000 (53.314)	Prec@5 79.688 (82.405)
Epoch: [81][770/14090]	Time 0.753 (0.759)	Data 0.001 (0.007)	Loss 2.0473 (1.7744)	Prec@1 50.781 (53.322)	Prec@5 75.781 (82.394)
Epoch: [81][780/14090]	Time 0.745 (0.759)	Data 0.002 (0.007)	Loss 1.9204 (1.7748)	Prec@1 53.906 (53.324)	Prec@5 80.469 (82.386)
Epoch: [81][790/14090]	Time 0.760 (0.759)	Data 0.001 (0.007)	Loss 1.9982 (1.7754)	Prec@1 43.750 (53.299)	Prec@5 79.688 (82.371)
Epoch: [81][800/14090]	Time 0.743 (0.758)	Data 0.001 (0.007)	Loss 1.6377 (1.7748)	Prec@1 59.375 (53.326)	Prec@5 81.250 (82.373)
Epoch: [81][810/14090]	Time 0.735 (0.758)	Data 0.001 (0.007)	Loss 1.8251 (1.7756)	Prec@1 52.344 (53.299)	Prec@5 83.594 (82.372)
Epoch: [81][820/14090]	Time 0.748 (0.758)	Data 0.001 (0.007)	Loss 1.6539 (1.7756)	Prec@1 57.812 (53.309)	Prec@5 84.375 (82.373)
Epoch: [81][830/14090]	Time 0.724 (0.758)	Data 0.001 (0.007)	Loss 1.7342 (1.7759)	Prec@1 53.906 (53.302)	Prec@5 83.594 (82.373)
Epoch: [81][840/14090]	Time 0.763 (0.758)	Data 0.001 (0.006)	Loss 1.9324 (1.7754)	Prec@1 50.000 (53.308)	Prec@5 79.688 (82.369)
Epoch: [81][850/14090]	Time 0.739 (0.758)	Data 0.002 (0.006)	Loss 1.5845 (1.7748)	Prec@1 62.500 (53.332)	Prec@5 87.500 (82.383)
Epoch: [81][860/14090]	Time 0.766 (0.758)	Data 0.001 (0.006)	Loss 2.0291 (1.7747)	Prec@1 45.312 (53.311)	Prec@5 78.906 (82.393)
Epoch: [81][870/14090]	Time 0.778 (0.758)	Data 0.001 (0.006)	Loss 1.7834 (1.7745)	Prec@1 50.781 (53.322)	Prec@5 82.812 (82.397)
Epoch: [81][880/14090]	Time 0.752 (0.758)	Data 0.001 (0.006)	Loss 1.4719 (1.7738)	Prec@1 62.500 (53.348)	Prec@5 85.156 (82.398)
Epoch: [81][890/14090]	Time 0.783 (0.758)	Data 0.001 (0.006)	Loss 1.8210 (1.7742)	Prec@1 52.344 (53.337)	Prec@5 82.812 (82.396)
Epoch: [81][900/14090]	Time 0.738 (0.758)	Data 0.001 (0.006)	Loss 1.6771 (1.7749)	Prec@1 50.781 (53.322)	Prec@5 85.938 (82.391)
Epoch: [81][910/14090]	Time 0.771 (0.758)	Data 0.001 (0.006)	Loss 2.0330 (1.7752)	Prec@1 49.219 (53.331)	Prec@5 79.688 (82.378)
Epoch: [81][920/14090]	Time 0.734 (0.757)	Data 0.002 (0.006)	Loss 1.7106 (1.7752)	Prec@1 55.469 (53.310)	Prec@5 84.375 (82.381)
Epoch: [81][930/14090]	Time 0.760 (0.757)	Data 0.001 (0.006)	Loss 1.6735 (1.7763)	Prec@1 54.688 (53.281)	Prec@5 84.375 (82.365)
Epoch: [81][940/14090]	Time 0.766 (0.757)	Data 0.001 (0.006)	Loss 1.8260 (1.7757)	Prec@1 49.219 (53.289)	Prec@5 84.375 (82.381)
Epoch: [81][950/14090]	Time 0.740 (0.757)	Data 0.001 (0.006)	Loss 1.8342 (1.7756)	Prec@1 46.875 (53.300)	Prec@5 85.938 (82.384)
Epoch: [81][960/14090]	Time 0.732 (0.757)	Data 0.001 (0.006)	Loss 1.8466 (1.7757)	Prec@1 46.875 (53.288)	Prec@5 82.812 (82.378)
Epoch: [81][970/14090]	Time 0.729 (0.757)	Data 0.001 (0.006)	Loss 2.0216 (1.7750)	Prec@1 50.781 (53.316)	Prec@5 78.906 (82.399)
Epoch: [81][980/14090]	Time 0.744 (0.757)	Data 0.001 (0.006)	Loss 1.7624 (1.7754)	Prec@1 54.688 (53.308)	Prec@5 81.250 (82.390)
Epoch: [81][990/14090]	Time 0.734 (0.757)	Data 0.002 (0.006)	Loss 1.6113 (1.7754)	Prec@1 54.688 (53.294)	Prec@5 84.375 (82.389)
Epoch: [81][1000/14090]	Time 0.764 (0.757)	Data 0.001 (0.006)	Loss 1.7168 (1.7752)	Prec@1 53.906 (53.292)	Prec@5 85.156 (82.397)
Epoch: [81][1010/14090]	Time 0.753 (0.757)	Data 0.001 (0.006)	Loss 1.6937 (1.7745)	Prec@1 55.469 (53.319)	Prec@5 85.156 (82.416)
Epoch: [81][1020/14090]	Time 0.753 (0.757)	Data 0.001 (0.005)	Loss 1.8853 (1.7748)	Prec@1 50.781 (53.316)	Prec@5 80.469 (82.409)
Epoch: [81][1030/14090]	Time 0.746 (0.757)	Data 0.001 (0.005)	Loss 1.7337 (1.7746)	Prec@1 49.219 (53.308)	Prec@5 81.250 (82.415)
Epoch: [81][1040/14090]	Time 0.771 (0.757)	Data 0.001 (0.005)	Loss 1.7517 (1.7746)	Prec@1 48.438 (53.313)	Prec@5 83.594 (82.427)
Epoch: [81][1050/14090]	Time 0.726 (0.757)	Data 0.001 (0.005)	Loss 1.5518 (1.7741)	Prec@1 58.594 (53.328)	Prec@5 85.938 (82.443)
Epoch: [81][1060/14090]	Time 0.738 (0.757)	Data 0.003 (0.005)	Loss 1.7343 (1.7742)	Prec@1 53.125 (53.330)	Prec@5 80.469 (82.441)
Epoch: [81][1070/14090]	Time 0.757 (0.756)	Data 0.001 (0.005)	Loss 1.8908 (1.7745)	Prec@1 50.781 (53.330)	Prec@5 84.375 (82.437)
Epoch: [81][1080/14090]	Time 0.752 (0.756)	Data 0.001 (0.005)	Loss 2.1379 (1.7752)	Prec@1 39.062 (53.307)	Prec@5 74.219 (82.422)
Epoch: [81][1090/14090]	Time 0.743 (0.756)	Data 0.001 (0.005)	Loss 1.6215 (1.7761)	Prec@1 56.250 (53.287)	Prec@5 86.719 (82.413)
Epoch: [81][1100/14090]	Time 0.749 (0.756)	Data 0.001 (0.005)	Loss 1.6854 (1.7772)	Prec@1 55.469 (53.260)	Prec@5 85.156 (82.409)
Epoch: [81][1110/14090]	Time 0.745 (0.756)	Data 0.001 (0.005)	Loss 1.7570 (1.7783)	Prec@1 54.688 (53.242)	Prec@5 83.594 (82.386)
Epoch: [81][1120/14090]	Time 0.777 (0.756)	Data 0.001 (0.005)	Loss 1.9334 (1.7788)	Prec@1 50.000 (53.229)	Prec@5 81.250 (82.384)
Epoch: [81][1130/14090]	Time 0.768 (0.756)	Data 0.002 (0.005)	Loss 1.9980 (1.7789)	Prec@1 51.562 (53.237)	Prec@5 76.562 (82.375)
Epoch: [81][1140/14090]	Time 0.782 (0.756)	Data 0.001 (0.005)	Loss 1.8168 (1.7796)	Prec@1 51.562 (53.232)	Prec@5 80.469 (82.351)
Epoch: [81][1150/14090]	Time 0.760 (0.756)	Data 0.001 (0.005)	Loss 1.8976 (1.7799)	Prec@1 52.344 (53.227)	Prec@5 78.906 (82.337)
Epoch: [81][1160/14090]	Time 0.738 (0.756)	Data 0.001 (0.005)	Loss 1.8788 (1.7800)	Prec@1 50.781 (53.229)	Prec@5 76.562 (82.329)
Epoch: [81][1170/14090]	Time 0.778 (0.756)	Data 0.001 (0.005)	Loss 1.7817 (1.7806)	Prec@1 49.219 (53.207)	Prec@5 83.594 (82.322)
Epoch: [81][1180/14090]	Time 0.758 (0.756)	Data 0.001 (0.005)	Loss 1.7779 (1.7809)	Prec@1 47.656 (53.199)	Prec@5 82.812 (82.312)
Epoch: [81][1190/14090]	Time 0.787 (0.756)	Data 0.001 (0.005)	Loss 2.0639 (1.7809)	Prec@1 55.469 (53.213)	Prec@5 77.344 (82.312)
Epoch: [81][1200/14090]	Time 0.754 (0.756)	Data 0.002 (0.005)	Loss 1.9414 (1.7809)	Prec@1 53.125 (53.217)	Prec@5 80.469 (82.319)
Epoch: [81][1210/14090]	Time 0.756 (0.756)	Data 0.001 (0.005)	Loss 1.7379 (1.7815)	Prec@1 53.125 (53.213)	Prec@5 85.938 (82.319)
Epoch: [81][1220/14090]	Time 0.764 (0.756)	Data 0.001 (0.005)	Loss 1.9868 (1.7815)	Prec@1 54.688 (53.218)	Prec@5 76.562 (82.319)
Epoch: [81][1230/14090]	Time 0.781 (0.756)	Data 0.003 (0.005)	Loss 1.9491 (1.7819)	Prec@1 52.344 (53.214)	Prec@5 79.688 (82.311)
Epoch: [81][1240/14090]	Time 0.730 (0.756)	Data 0.001 (0.005)	Loss 1.7741 (1.7820)	Prec@1 51.562 (53.211)	Prec@5 83.594 (82.303)
Epoch: [81][1250/14090]	Time 0.738 (0.756)	Data 0.001 (0.005)	Loss 1.6258 (1.7822)	Prec@1 53.906 (53.211)	Prec@5 82.812 (82.292)
Epoch: [81][1260/14090]	Time 0.743 (0.756)	Data 0.001 (0.005)	Loss 1.7649 (1.7823)	Prec@1 50.000 (53.199)	Prec@5 75.781 (82.289)
Epoch: [81][1270/14090]	Time 0.773 (0.756)	Data 0.002 (0.005)	Loss 1.7070 (1.7828)	Prec@1 55.469 (53.178)	Prec@5 83.594 (82.283)
Epoch: [81][1280/14090]	Time 0.742 (0.756)	Data 0.001 (0.005)	Loss 1.9739 (1.7835)	Prec@1 50.000 (53.150)	Prec@5 79.688 (82.275)
Epoch: [81][1290/14090]	Time 0.762 (0.756)	Data 0.001 (0.005)	Loss 1.7756 (1.7827)	Prec@1 60.938 (53.187)	Prec@5 80.469 (82.290)
Epoch: [81][1300/14090]	Time 0.737 (0.756)	Data 0.001 (0.005)	Loss 1.5674 (1.7821)	Prec@1 63.281 (53.204)	Prec@5 85.156 (82.301)
Epoch: [81][1310/14090]	Time 0.719 (0.755)	Data 0.001 (0.005)	Loss 1.7146 (1.7825)	Prec@1 53.125 (53.205)	Prec@5 84.375 (82.289)
Epoch: [81][1320/14090]	Time 0.756 (0.755)	Data 0.001 (0.004)	Loss 2.1096 (1.7825)	Prec@1 42.969 (53.209)	Prec@5 75.781 (82.280)
Epoch: [81][1330/14090]	Time 0.734 (0.755)	Data 0.001 (0.004)	Loss 1.8859 (1.7828)	Prec@1 55.469 (53.207)	Prec@5 81.250 (82.278)
Epoch: [81][1340/14090]	Time 0.758 (0.755)	Data 0.002 (0.004)	Loss 1.7715 (1.7830)	Prec@1 52.344 (53.195)	Prec@5 78.906 (82.270)
Epoch: [81][1350/14090]	Time 0.738 (0.755)	Data 0.001 (0.004)	Loss 1.7499 (1.7828)	Prec@1 57.812 (53.198)	Prec@5 79.688 (82.274)
Epoch: [81][1360/14090]	Time 0.751 (0.755)	Data 0.001 (0.004)	Loss 1.8480 (1.7834)	Prec@1 48.438 (53.180)	Prec@5 85.156 (82.265)
Epoch: [81][1370/14090]	Time 0.767 (0.755)	Data 0.001 (0.004)	Loss 1.9004 (1.7840)	Prec@1 46.094 (53.167)	Prec@5 79.688 (82.249)
Epoch: [81][1380/14090]	Time 0.749 (0.755)	Data 0.003 (0.004)	Loss 1.6192 (1.7845)	Prec@1 58.594 (53.160)	Prec@5 82.812 (82.244)
Epoch: [81][1390/14090]	Time 0.727 (0.755)	Data 0.001 (0.004)	Loss 1.8574 (1.7852)	Prec@1 56.250 (53.155)	Prec@5 78.906 (82.229)
Epoch: [81][1400/14090]	Time 0.758 (0.755)	Data 0.001 (0.004)	Loss 1.9777 (1.7855)	Prec@1 43.750 (53.147)	Prec@5 83.594 (82.230)
Epoch: [81][1410/14090]	Time 0.748 (0.755)	Data 0.002 (0.004)	Loss 1.9856 (1.7854)	Prec@1 49.219 (53.145)	Prec@5 78.125 (82.241)
Epoch: [81][1420/14090]	Time 0.741 (0.755)	Data 0.001 (0.004)	Loss 1.7238 (1.7855)	Prec@1 48.438 (53.110)	Prec@5 84.375 (82.247)
Epoch: [81][1430/14090]	Time 0.732 (0.755)	Data 0.001 (0.004)	Loss 1.6824 (1.7853)	Prec@1 57.812 (53.112)	Prec@5 85.938 (82.250)
Epoch: [81][1440/14090]	Time 0.757 (0.755)	Data 0.001 (0.004)	Loss 1.7856 (1.7851)	Prec@1 57.031 (53.124)	Prec@5 82.031 (82.257)
Epoch: [81][1450/14090]	Time 0.735 (0.755)	Data 0.001 (0.004)	Loss 1.5561 (1.7851)	Prec@1 60.938 (53.125)	Prec@5 85.938 (82.265)
Epoch: [81][1460/14090]	Time 0.741 (0.755)	Data 0.001 (0.004)	Loss 2.1018 (1.7850)	Prec@1 46.875 (53.129)	Prec@5 75.000 (82.267)
Epoch: [81][1470/14090]	Time 0.772 (0.755)	Data 0.001 (0.004)	Loss 1.9780 (1.7858)	Prec@1 50.781 (53.113)	Prec@5 77.344 (82.254)
Epoch: [81][1480/14090]	Time 0.751 (0.755)	Data 0.002 (0.004)	Loss 1.7924 (1.7862)	Prec@1 51.562 (53.102)	Prec@5 81.250 (82.243)
Epoch: [81][1490/14090]	Time 0.768 (0.755)	Data 0.001 (0.004)	Loss 1.9843 (1.7858)	Prec@1 49.219 (53.106)	Prec@5 80.469 (82.242)
Epoch: [81][1500/14090]	Time 0.781 (0.755)	Data 0.001 (0.004)	Loss 1.6405 (1.7864)	Prec@1 55.469 (53.088)	Prec@5 82.031 (82.231)
Epoch: [81][1510/14090]	Time 0.751 (0.755)	Data 0.001 (0.004)	Loss 1.7558 (1.7864)	Prec@1 51.562 (53.088)	Prec@5 88.281 (82.238)
Epoch: [81][1520/14090]	Time 0.747 (0.755)	Data 0.001 (0.004)	Loss 1.6029 (1.7864)	Prec@1 58.594 (53.082)	Prec@5 82.812 (82.244)
Epoch: [81][1530/14090]	Time 0.777 (0.755)	Data 0.001 (0.004)	Loss 1.5495 (1.7863)	Prec@1 60.156 (53.093)	Prec@5 83.594 (82.239)
Epoch: [81][1540/14090]	Time 0.727 (0.755)	Data 0.001 (0.004)	Loss 1.6275 (1.7861)	Prec@1 53.906 (53.096)	Prec@5 87.500 (82.243)
Epoch: [81][1550/14090]	Time 0.763 (0.755)	Data 0.002 (0.004)	Loss 1.7505 (1.7860)	Prec@1 52.344 (53.091)	Prec@5 81.250 (82.243)
Epoch: [81][1560/14090]	Time 0.778 (0.755)	Data 0.001 (0.004)	Loss 1.6629 (1.7856)	Prec@1 56.250 (53.099)	Prec@5 82.812 (82.255)
Epoch: [81][1570/14090]	Time 0.731 (0.755)	Data 0.001 (0.004)	Loss 1.9106 (1.7857)	Prec@1 47.656 (53.082)	Prec@5 81.250 (82.252)
Epoch: [81][1580/14090]	Time 0.732 (0.755)	Data 0.001 (0.004)	Loss 1.8962 (1.7860)	Prec@1 50.000 (53.078)	Prec@5 81.250 (82.249)
Epoch: [81][1590/14090]	Time 0.755 (0.755)	Data 0.001 (0.004)	Loss 1.7698 (1.7859)	Prec@1 55.469 (53.079)	Prec@5 79.688 (82.255)
Epoch: [81][1600/14090]	Time 0.760 (0.755)	Data 0.001 (0.004)	Loss 1.7176 (1.7858)	Prec@1 57.812 (53.088)	Prec@5 82.031 (82.258)
Epoch: [81][1610/14090]	Time 0.760 (0.755)	Data 0.002 (0.004)	Loss 1.8412 (1.7859)	Prec@1 48.438 (53.084)	Prec@5 81.250 (82.255)
Epoch: [81][1620/14090]	Time 0.756 (0.755)	Data 0.002 (0.004)	Loss 1.5720 (1.7859)	Prec@1 57.812 (53.089)	Prec@5 85.156 (82.264)
Epoch: [81][1630/14090]	Time 0.752 (0.755)	Data 0.001 (0.004)	Loss 1.9540 (1.7863)	Prec@1 54.688 (53.082)	Prec@5 79.688 (82.252)
Epoch: [81][1640/14090]	Time 0.740 (0.755)	Data 0.001 (0.004)	Loss 1.8318 (1.7859)	Prec@1 58.594 (53.097)	Prec@5 81.250 (82.256)
Epoch: [81][1650/14090]	Time 0.737 (0.755)	Data 0.001 (0.004)	Loss 1.6051 (1.7861)	Prec@1 50.000 (53.084)	Prec@5 88.281 (82.249)
Epoch: [81][1660/14090]	Time 0.733 (0.755)	Data 0.001 (0.004)	Loss 1.8628 (1.7856)	Prec@1 51.562 (53.091)	Prec@5 81.250 (82.258)
Epoch: [81][1670/14090]	Time 0.781 (0.755)	Data 0.001 (0.004)	Loss 2.1213 (1.7860)	Prec@1 46.875 (53.089)	Prec@5 79.688 (82.247)
Epoch: [81][1680/14090]	Time 0.759 (0.755)	Data 0.001 (0.004)	Loss 1.9675 (1.7865)	Prec@1 49.219 (53.082)	Prec@5 77.344 (82.236)
Epoch: [81][1690/14090]	Time 0.739 (0.755)	Data 0.002 (0.004)	Loss 1.6934 (1.7866)	Prec@1 50.781 (53.073)	Prec@5 85.938 (82.229)
Epoch: [81][1700/14090]	Time 0.729 (0.755)	Data 0.001 (0.004)	Loss 1.7426 (1.7867)	Prec@1 47.656 (53.077)	Prec@5 84.375 (82.224)
Epoch: [81][1710/14090]	Time 0.739 (0.755)	Data 0.001 (0.004)	Loss 1.8606 (1.7867)	Prec@1 51.562 (53.070)	Prec@5 79.688 (82.223)
Epoch: [81][1720/14090]	Time 0.764 (0.754)	Data 0.001 (0.004)	Loss 1.7531 (1.7865)	Prec@1 52.344 (53.070)	Prec@5 82.031 (82.231)
Epoch: [81][1730/14090]	Time 0.750 (0.754)	Data 0.001 (0.004)	Loss 1.6135 (1.7864)	Prec@1 55.469 (53.071)	Prec@5 84.375 (82.229)
Epoch: [81][1740/14090]	Time 0.767 (0.754)	Data 0.001 (0.004)	Loss 1.9099 (1.7863)	Prec@1 55.469 (53.073)	Prec@5 77.344 (82.230)
Epoch: [81][1750/14090]	Time 0.755 (0.754)	Data 0.001 (0.004)	Loss 1.8991 (1.7868)	Prec@1 49.219 (53.065)	Prec@5 79.688 (82.222)
Epoch: [81][1760/14090]	Time 0.735 (0.754)	Data 0.002 (0.004)	Loss 1.6435 (1.7864)	Prec@1 49.219 (53.058)	Prec@5 85.156 (82.228)
Epoch: [81][1770/14090]	Time 0.763 (0.754)	Data 0.001 (0.004)	Loss 1.7620 (1.7866)	Prec@1 50.781 (53.057)	Prec@5 83.594 (82.227)
Epoch: [81][1780/14090]	Time 0.731 (0.754)	Data 0.001 (0.004)	Loss 1.6300 (1.7867)	Prec@1 57.812 (53.053)	Prec@5 85.156 (82.226)
Epoch: [81][1790/14090]	Time 0.764 (0.754)	Data 0.001 (0.004)	Loss 1.7856 (1.7867)	Prec@1 52.344 (53.040)	Prec@5 84.375 (82.236)
Epoch: [81][1800/14090]	Time 0.748 (0.754)	Data 0.001 (0.004)	Loss 1.5639 (1.7866)	Prec@1 60.156 (53.046)	Prec@5 85.156 (82.242)
Epoch: [81][1810/14090]	Time 0.775 (0.754)	Data 0.001 (0.004)	Loss 1.4248 (1.7866)	Prec@1 61.719 (53.040)	Prec@5 90.625 (82.252)
Epoch: [81][1820/14090]	Time 0.772 (0.754)	Data 0.001 (0.004)	Loss 1.6228 (1.7865)	Prec@1 57.812 (53.036)	Prec@5 85.938 (82.255)
Epoch: [81][1830/14090]	Time 0.775 (0.754)	Data 0.002 (0.003)	Loss 1.8113 (1.7863)	Prec@1 48.438 (53.040)	Prec@5 79.688 (82.260)
Epoch: [81][1840/14090]	Time 0.758 (0.754)	Data 0.001 (0.003)	Loss 1.5335 (1.7867)	Prec@1 58.594 (53.024)	Prec@5 87.500 (82.255)
Epoch: [81][1850/14090]	Time 0.754 (0.754)	Data 0.001 (0.003)	Loss 1.6581 (1.7869)	Prec@1 57.031 (53.019)	Prec@5 82.812 (82.257)
Epoch: [81][1860/14090]	Time 0.775 (0.754)	Data 0.001 (0.003)	Loss 1.8385 (1.7873)	Prec@1 51.562 (53.022)	Prec@5 84.375 (82.258)
Epoch: [81][1870/14090]	Time 0.752 (0.754)	Data 0.001 (0.003)	Loss 1.6979 (1.7873)	Prec@1 56.250 (53.023)	Prec@5 85.156 (82.257)
Epoch: [81][1880/14090]	Time 0.746 (0.754)	Data 0.001 (0.003)	Loss 1.9235 (1.7875)	Prec@1 47.656 (53.020)	Prec@5 80.469 (82.256)
Epoch: [81][1890/14090]	Time 0.776 (0.754)	Data 0.001 (0.003)	Loss 1.7087 (1.7874)	Prec@1 53.125 (53.019)	Prec@5 85.156 (82.255)
Epoch: [81][1900/14090]	Time 0.743 (0.754)	Data 0.002 (0.003)	Loss 1.8002 (1.7876)	Prec@1 58.594 (53.019)	Prec@5 79.688 (82.256)
Epoch: [81][1910/14090]	Time 0.777 (0.754)	Data 0.001 (0.003)	Loss 1.7267 (1.7877)	Prec@1 50.781 (53.012)	Prec@5 87.500 (82.256)
Epoch: [81][1920/14090]	Time 0.756 (0.754)	Data 0.001 (0.003)	Loss 1.8386 (1.7881)	Prec@1 45.312 (53.000)	Prec@5 84.375 (82.248)
Epoch: [81][1930/14090]	Time 0.751 (0.754)	Data 0.001 (0.003)	Loss 1.9640 (1.7879)	Prec@1 51.562 (53.006)	Prec@5 77.344 (82.251)
Epoch: [81][1940/14090]	Time 0.743 (0.754)	Data 0.001 (0.003)	Loss 1.8780 (1.7879)	Prec@1 50.781 (53.002)	Prec@5 79.688 (82.252)
Epoch: [81][1950/14090]	Time 0.748 (0.754)	Data 0.001 (0.003)	Loss 1.7646 (1.7881)	Prec@1 52.344 (53.006)	Prec@5 85.156 (82.251)
Epoch: [81][1960/14090]	Time 0.743 (0.754)	Data 0.001 (0.003)	Loss 1.7384 (1.7880)	Prec@1 47.656 (52.998)	Prec@5 79.688 (82.249)
Epoch: [81][1970/14090]	Time 0.762 (0.754)	Data 0.002 (0.003)	Loss 1.7346 (1.7877)	Prec@1 54.688 (53.005)	Prec@5 86.719 (82.250)
Epoch: [81][1980/14090]	Time 0.730 (0.754)	Data 0.001 (0.003)	Loss 1.8719 (1.7879)	Prec@1 46.094 (53.000)	Prec@5 81.250 (82.245)
Epoch: [81][1990/14090]	Time 0.766 (0.754)	Data 0.001 (0.003)	Loss 2.1204 (1.7881)	Prec@1 46.094 (52.983)	Prec@5 75.000 (82.247)
Epoch: [81][2000/14090]	Time 0.749 (0.754)	Data 0.001 (0.003)	Loss 1.6227 (1.7878)	Prec@1 60.156 (52.993)	Prec@5 84.375 (82.250)
Epoch: [81][2010/14090]	Time 0.761 (0.754)	Data 0.001 (0.003)	Loss 1.7108 (1.7874)	Prec@1 55.469 (53.001)	Prec@5 82.031 (82.252)
Epoch: [81][2020/14090]	Time 0.768 (0.754)	Data 0.001 (0.003)	Loss 1.8620 (1.7873)	Prec@1 51.562 (53.001)	Prec@5 84.375 (82.257)
Epoch: [81][2030/14090]	Time 0.734 (0.754)	Data 0.001 (0.003)	Loss 1.6853 (1.7872)	Prec@1 54.688 (53.000)	Prec@5 80.469 (82.256)
Epoch: [81][2040/14090]	Time 0.730 (0.754)	Data 0.002 (0.003)	Loss 1.6501 (1.7871)	Prec@1 53.906 (53.005)	Prec@5 87.500 (82.255)
Epoch: [81][2050/14090]	Time 0.735 (0.754)	Data 0.001 (0.003)	Loss 2.0053 (1.7877)	Prec@1 50.781 (52.990)	Prec@5 75.000 (82.249)
Epoch: [81][2060/14090]	Time 0.759 (0.754)	Data 0.001 (0.003)	Loss 1.7556 (1.7878)	Prec@1 50.781 (52.981)	Prec@5 84.375 (82.252)
Epoch: [81][2070/14090]	Time 0.770 (0.754)	Data 0.001 (0.003)	Loss 1.8478 (1.7877)	Prec@1 53.125 (52.989)	Prec@5 82.031 (82.250)
Epoch: [81][2080/14090]	Time 0.735 (0.754)	Data 0.001 (0.003)	Loss 1.8453 (1.7877)	Prec@1 50.781 (52.992)	Prec@5 79.688 (82.245)
Epoch: [81][2090/14090]	Time 0.735 (0.754)	Data 0.001 (0.003)	Loss 1.8206 (1.7877)	Prec@1 50.000 (52.989)	Prec@5 77.344 (82.245)
Epoch: [81][2100/14090]	Time 0.755 (0.754)	Data 0.001 (0.003)	Loss 1.8658 (1.7878)	Prec@1 51.562 (52.973)	Prec@5 85.156 (82.255)
Epoch: [81][2110/14090]	Time 0.774 (0.754)	Data 0.002 (0.003)	Loss 2.0087 (1.7883)	Prec@1 50.000 (52.963)	Prec@5 82.812 (82.247)
Epoch: [81][2120/14090]	Time 0.769 (0.754)	Data 0.001 (0.003)	Loss 1.7439 (1.7885)	Prec@1 53.125 (52.963)	Prec@5 84.375 (82.247)
Epoch: [81][2130/14090]	Time 0.768 (0.754)	Data 0.001 (0.003)	Loss 1.7594 (1.7884)	Prec@1 53.125 (52.968)	Prec@5 85.156 (82.246)
Epoch: [81][2140/14090]	Time 0.755 (0.754)	Data 0.001 (0.003)	Loss 1.6597 (1.7882)	Prec@1 60.938 (52.975)	Prec@5 84.375 (82.246)
Epoch: [81][2150/14090]	Time 0.748 (0.754)	Data 0.001 (0.003)	Loss 1.8639 (1.7881)	Prec@1 48.438 (52.971)	Prec@5 81.250 (82.243)
Epoch: [81][2160/14090]	Time 0.753 (0.754)	Data 0.001 (0.003)	Loss 1.8060 (1.7880)	Prec@1 53.125 (52.969)	Prec@5 80.469 (82.244)
Epoch: [81][2170/14090]	Time 0.734 (0.754)	Data 0.001 (0.003)	Loss 1.6282 (1.7880)	Prec@1 60.938 (52.969)	Prec@5 82.812 (82.248)
Epoch: [81][2180/14090]	Time 0.758 (0.754)	Data 0.003 (0.003)	Loss 1.7083 (1.7884)	Prec@1 57.812 (52.970)	Prec@5 82.812 (82.236)
Epoch: [81][2190/14090]	Time 0.755 (0.753)	Data 0.002 (0.003)	Loss 1.7907 (1.7887)	Prec@1 53.906 (52.967)	Prec@5 78.906 (82.228)
Epoch: [81][2200/14090]	Time 0.734 (0.753)	Data 0.001 (0.003)	Loss 1.8136 (1.7890)	Prec@1 51.562 (52.963)	Prec@5 81.250 (82.223)
Epoch: [81][2210/14090]	Time 0.737 (0.753)	Data 0.001 (0.003)	Loss 1.8195 (1.7889)	Prec@1 52.344 (52.966)	Prec@5 80.469 (82.225)
Epoch: [81][2220/14090]	Time 0.745 (0.753)	Data 0.001 (0.003)	Loss 1.8089 (1.7885)	Prec@1 54.688 (52.974)	Prec@5 80.469 (82.233)
Epoch: [81][2230/14090]	Time 0.773 (0.753)	Data 0.001 (0.003)	Loss 1.6964 (1.7880)	Prec@1 50.000 (52.980)	Prec@5 86.719 (82.243)
Epoch: [81][2240/14090]	Time 0.781 (0.753)	Data 0.001 (0.003)	Loss 1.6029 (1.7878)	Prec@1 54.688 (52.989)	Prec@5 83.594 (82.244)
Epoch: [81][2250/14090]	Time 0.775 (0.753)	Data 0.002 (0.003)	Loss 1.5419 (1.7874)	Prec@1 61.719 (53.005)	Prec@5 84.375 (82.250)
Epoch: [81][2260/14090]	Time 0.766 (0.753)	Data 0.001 (0.003)	Loss 2.0622 (1.7878)	Prec@1 46.875 (52.995)	Prec@5 79.688 (82.247)
Epoch: [81][2270/14090]	Time 0.742 (0.753)	Data 0.001 (0.003)	Loss 1.8689 (1.7883)	Prec@1 50.781 (52.983)	Prec@5 82.031 (82.234)
Epoch: [81][2280/14090]	Time 0.765 (0.753)	Data 0.001 (0.003)	Loss 1.9224 (1.7882)	Prec@1 43.750 (52.985)	Prec@5 79.688 (82.237)
Epoch: [81][2290/14090]	Time 0.753 (0.753)	Data 0.001 (0.003)	Loss 1.7295 (1.7883)	Prec@1 54.688 (52.982)	Prec@5 83.594 (82.240)
Epoch: [81][2300/14090]	Time 0.730 (0.753)	Data 0.001 (0.003)	Loss 1.8155 (1.7880)	Prec@1 53.125 (52.993)	Prec@5 82.031 (82.249)
Epoch: [81][2310/14090]	Time 0.756 (0.753)	Data 0.001 (0.003)	Loss 1.8942 (1.7882)	Prec@1 50.781 (52.988)	Prec@5 81.250 (82.243)
Epoch: [81][2320/14090]	Time 0.728 (0.753)	Data 0.002 (0.003)	Loss 1.8816 (1.7879)	Prec@1 45.312 (52.992)	Prec@5 83.594 (82.249)
Epoch: [81][2330/14090]	Time 0.747 (0.753)	Data 0.001 (0.003)	Loss 1.5594 (1.7880)	Prec@1 53.906 (52.984)	Prec@5 82.812 (82.246)
Epoch: [81][2340/14090]	Time 0.750 (0.753)	Data 0.001 (0.003)	Loss 1.9317 (1.7878)	Prec@1 48.438 (52.988)	Prec@5 81.250 (82.250)
Epoch: [81][2350/14090]	Time 0.725 (0.753)	Data 0.001 (0.003)	Loss 1.6686 (1.7880)	Prec@1 58.594 (52.985)	Prec@5 82.812 (82.247)
Epoch: [81][2360/14090]	Time 0.726 (0.753)	Data 0.001 (0.003)	Loss 1.8089 (1.7881)	Prec@1 56.250 (52.978)	Prec@5 82.031 (82.251)
Epoch: [81][2370/14090]	Time 0.752 (0.753)	Data 0.001 (0.003)	Loss 1.8240 (1.7882)	Prec@1 50.781 (52.973)	Prec@5 84.375 (82.248)
Epoch: [81][2380/14090]	Time 0.738 (0.753)	Data 0.001 (0.003)	Loss 1.5371 (1.7879)	Prec@1 54.688 (52.980)	Prec@5 90.625 (82.256)
Epoch: [81][2390/14090]	Time 0.738 (0.753)	Data 0.002 (0.003)	Loss 1.7353 (1.7876)	Prec@1 54.688 (52.985)	Prec@5 83.594 (82.261)
Epoch: [81][2400/14090]	Time 0.763 (0.753)	Data 0.001 (0.003)	Loss 1.6671 (1.7874)	Prec@1 54.688 (52.984)	Prec@5 84.375 (82.266)
Epoch: [81][2410/14090]	Time 0.748 (0.753)	Data 0.001 (0.003)	Loss 2.0184 (1.7874)	Prec@1 46.875 (52.983)	Prec@5 87.500 (82.269)
Epoch: [81][2420/14090]	Time 0.733 (0.753)	Data 0.001 (0.003)	Loss 1.6955 (1.7875)	Prec@1 54.688 (52.982)	Prec@5 80.469 (82.271)
Epoch: [81][2430/14090]	Time 0.733 (0.753)	Data 0.001 (0.003)	Loss 1.7021 (1.7872)	Prec@1 57.812 (52.986)	Prec@5 85.156 (82.277)
Epoch: [81][2440/14090]	Time 0.749 (0.753)	Data 0.001 (0.003)	Loss 1.9704 (1.7871)	Prec@1 46.094 (52.989)	Prec@5 79.688 (82.277)
Epoch: [81][2450/14090]	Time 0.768 (0.753)	Data 0.001 (0.003)	Loss 1.6348 (1.7868)	Prec@1 53.125 (52.996)	Prec@5 80.469 (82.277)
Epoch: [81][2460/14090]	Time 0.729 (0.753)	Data 0.002 (0.003)	Loss 1.6849 (1.7868)	Prec@1 56.250 (52.993)	Prec@5 81.250 (82.275)
Epoch: [81][2470/14090]	Time 0.768 (0.753)	Data 0.001 (0.003)	Loss 1.6957 (1.7869)	Prec@1 57.812 (52.989)	Prec@5 84.375 (82.276)
Epoch: [81][2480/14090]	Time 0.749 (0.753)	Data 0.001 (0.003)	Loss 1.8824 (1.7872)	Prec@1 53.125 (52.981)	Prec@5 79.688 (82.270)
Epoch: [81][2490/14090]	Time 0.752 (0.753)	Data 0.001 (0.003)	Loss 1.3527 (1.7871)	Prec@1 63.281 (52.981)	Prec@5 91.406 (82.269)
Epoch: [81][2500/14090]	Time 0.755 (0.753)	Data 0.001 (0.003)	Loss 1.5900 (1.7868)	Prec@1 57.812 (52.992)	Prec@5 84.375 (82.269)
Epoch: [81][2510/14090]	Time 0.751 (0.753)	Data 0.001 (0.003)	Loss 1.8784 (1.7870)	Prec@1 48.438 (52.987)	Prec@5 83.594 (82.271)
Epoch: [81][2520/14090]	Time 0.756 (0.753)	Data 0.001 (0.003)	Loss 2.0006 (1.7870)	Prec@1 47.656 (52.985)	Prec@5 78.906 (82.270)
Epoch: [81][2530/14090]	Time 0.764 (0.753)	Data 0.002 (0.003)	Loss 1.7741 (1.7868)	Prec@1 55.469 (52.991)	Prec@5 79.688 (82.274)
Epoch: [81][2540/14090]	Time 0.758 (0.753)	Data 0.001 (0.003)	Loss 1.5012 (1.7872)	Prec@1 57.031 (52.980)	Prec@5 88.281 (82.266)
Epoch: [81][2550/14090]	Time 0.736 (0.753)	Data 0.001 (0.003)	Loss 2.0990 (1.7872)	Prec@1 50.781 (52.981)	Prec@5 80.469 (82.267)
Epoch: [81][2560/14090]	Time 0.776 (0.753)	Data 0.001 (0.003)	Loss 1.9010 (1.7877)	Prec@1 47.656 (52.970)	Prec@5 78.125 (82.260)
Epoch: [81][2570/14090]	Time 0.748 (0.753)	Data 0.001 (0.003)	Loss 1.8250 (1.7879)	Prec@1 50.781 (52.963)	Prec@5 86.719 (82.258)
Epoch: [81][2580/14090]	Time 0.736 (0.753)	Data 0.001 (0.003)	Loss 1.8326 (1.7877)	Prec@1 51.562 (52.970)	Prec@5 78.906 (82.261)
Epoch: [81][2590/14090]	Time 0.761 (0.753)	Data 0.001 (0.003)	Loss 2.0867 (1.7876)	Prec@1 50.000 (52.980)	Prec@5 75.781 (82.264)
Epoch: [81][2600/14090]	Time 0.753 (0.753)	Data 0.002 (0.003)	Loss 1.6867 (1.7874)	Prec@1 53.906 (52.987)	Prec@5 82.812 (82.263)
Epoch: [81][2610/14090]	Time 0.739 (0.753)	Data 0.001 (0.003)	Loss 1.9421 (1.7874)	Prec@1 44.531 (52.990)	Prec@5 82.812 (82.266)
Epoch: [81][2620/14090]	Time 0.761 (0.753)	Data 0.001 (0.003)	Loss 1.9164 (1.7875)	Prec@1 53.906 (52.991)	Prec@5 83.594 (82.265)
Epoch: [81][2630/14090]	Time 0.750 (0.753)	Data 0.001 (0.003)	Loss 1.7869 (1.7877)	Prec@1 51.562 (52.990)	Prec@5 82.031 (82.260)
Epoch: [81][2640/14090]	Time 0.752 (0.753)	Data 0.001 (0.003)	Loss 1.7559 (1.7876)	Prec@1 55.469 (52.997)	Prec@5 83.594 (82.260)
Epoch: [81][2650/14090]	Time 0.768 (0.753)	Data 0.001 (0.003)	Loss 1.9633 (1.7876)	Prec@1 48.438 (52.989)	Prec@5 81.250 (82.265)
Epoch: [81][2660/14090]	Time 0.743 (0.753)	Data 0.001 (0.003)	Loss 1.6459 (1.7878)	Prec@1 57.031 (52.990)	Prec@5 83.594 (82.266)
Epoch: [81][2670/14090]	Time 0.756 (0.753)	Data 0.002 (0.003)	Loss 1.7583 (1.7874)	Prec@1 49.219 (52.993)	Prec@5 85.156 (82.274)
Epoch: [81][2680/14090]	Time 0.754 (0.753)	Data 0.001 (0.003)	Loss 1.8192 (1.7874)	Prec@1 54.688 (52.996)	Prec@5 78.906 (82.276)
Epoch: [81][2690/14090]	Time 0.781 (0.753)	Data 0.001 (0.003)	Loss 1.9206 (1.7872)	Prec@1 50.781 (52.999)	Prec@5 77.344 (82.279)
Epoch: [81][2700/14090]	Time 0.745 (0.753)	Data 0.001 (0.003)	Loss 1.9754 (1.7875)	Prec@1 49.219 (52.998)	Prec@5 78.906 (82.272)
Epoch: [81][2710/14090]	Time 0.744 (0.753)	Data 0.001 (0.003)	Loss 1.8801 (1.7877)	Prec@1 49.219 (52.999)	Prec@5 79.688 (82.270)
Epoch: [81][2720/14090]	Time 0.777 (0.753)	Data 0.001 (0.003)	Loss 1.9000 (1.7875)	Prec@1 50.781 (53.001)	Prec@5 79.688 (82.272)
Epoch: [81][2730/14090]	Time 0.753 (0.753)	Data 0.001 (0.003)	Loss 1.8380 (1.7875)	Prec@1 50.000 (52.999)	Prec@5 83.594 (82.275)
Epoch: [81][2740/14090]	Time 0.745 (0.753)	Data 0.002 (0.003)	Loss 1.7789 (1.7876)	Prec@1 46.094 (52.995)	Prec@5 83.594 (82.273)
Epoch: [81][2750/14090]	Time 0.742 (0.753)	Data 0.001 (0.003)	Loss 1.6830 (1.7875)	Prec@1 55.469 (53.000)	Prec@5 80.469 (82.270)
Epoch: [81][2760/14090]	Time 0.728 (0.753)	Data 0.001 (0.003)	Loss 1.7714 (1.7877)	Prec@1 57.031 (53.002)	Prec@5 82.812 (82.269)
Epoch: [81][2770/14090]	Time 0.775 (0.753)	Data 0.001 (0.003)	Loss 1.9900 (1.7876)	Prec@1 54.688 (53.011)	Prec@5 77.344 (82.270)
Epoch: [81][2780/14090]	Time 0.745 (0.753)	Data 0.001 (0.003)	Loss 1.7371 (1.7876)	Prec@1 53.906 (53.008)	Prec@5 80.469 (82.266)
Epoch: [81][2790/14090]	Time 0.732 (0.753)	Data 0.001 (0.003)	Loss 1.5461 (1.7877)	Prec@1 64.062 (53.009)	Prec@5 85.156 (82.265)
Epoch: [81][2800/14090]	Time 0.717 (0.753)	Data 0.001 (0.003)	Loss 1.7593 (1.7878)	Prec@1 52.344 (53.009)	Prec@5 81.250 (82.262)
Epoch: [81][2810/14090]	Time 0.754 (0.753)	Data 0.002 (0.003)	Loss 1.7778 (1.7879)	Prec@1 51.562 (53.010)	Prec@5 83.594 (82.260)
Epoch: [81][2820/14090]	Time 0.756 (0.753)	Data 0.001 (0.003)	Loss 1.4887 (1.7877)	Prec@1 58.594 (53.011)	Prec@5 90.625 (82.261)
Epoch: [81][2830/14090]	Time 0.781 (0.753)	Data 0.001 (0.003)	Loss 1.8028 (1.7878)	Prec@1 52.344 (53.010)	Prec@5 81.250 (82.255)
Epoch: [81][2840/14090]	Time 0.747 (0.753)	Data 0.002 (0.003)	Loss 1.6966 (1.7881)	Prec@1 54.688 (53.008)	Prec@5 86.719 (82.250)
Epoch: [81][2850/14090]	Time 0.729 (0.753)	Data 0.001 (0.003)	Loss 1.7249 (1.7879)	Prec@1 49.219 (53.013)	Prec@5 84.375 (82.260)
Epoch: [81][2860/14090]	Time 0.758 (0.753)	Data 0.001 (0.003)	Loss 1.5262 (1.7878)	Prec@1 61.719 (53.011)	Prec@5 85.938 (82.262)
Epoch: [81][2870/14090]	Time 0.757 (0.753)	Data 0.001 (0.003)	Loss 1.9527 (1.7878)	Prec@1 48.438 (53.007)	Prec@5 81.250 (82.259)
Epoch: [81][2880/14090]	Time 0.775 (0.753)	Data 0.004 (0.003)	Loss 1.5643 (1.7876)	Prec@1 57.812 (53.007)	Prec@5 86.719 (82.267)
Epoch: [81][2890/14090]	Time 0.741 (0.753)	Data 0.001 (0.003)	Loss 1.7183 (1.7877)	Prec@1 54.688 (53.002)	Prec@5 82.031 (82.266)
Epoch: [81][2900/14090]	Time 0.768 (0.753)	Data 0.001 (0.003)	Loss 1.8278 (1.7878)	Prec@1 56.250 (53.005)	Prec@5 78.906 (82.259)
Epoch: [81][2910/14090]	Time 0.737 (0.753)	Data 0.001 (0.003)	Loss 1.9477 (1.7880)	Prec@1 49.219 (52.999)	Prec@5 75.000 (82.256)
Epoch: [81][2920/14090]	Time 0.717 (0.753)	Data 0.001 (0.003)	Loss 1.7057 (1.7879)	Prec@1 57.812 (53.008)	Prec@5 82.812 (82.254)
Epoch: [81][2930/14090]	Time 0.760 (0.753)	Data 0.001 (0.003)	Loss 1.5356 (1.7877)	Prec@1 57.812 (53.017)	Prec@5 85.938 (82.253)
Epoch: [81][2940/14090]	Time 0.762 (0.753)	Data 0.001 (0.003)	Loss 1.6744 (1.7875)	Prec@1 51.562 (53.018)	Prec@5 88.281 (82.258)
Epoch: [81][2950/14090]	Time 0.739 (0.753)	Data 0.002 (0.003)	Loss 1.6760 (1.7875)	Prec@1 55.469 (53.023)	Prec@5 86.719 (82.262)
Epoch: [81][2960/14090]	Time 0.743 (0.753)	Data 0.001 (0.003)	Loss 1.5920 (1.7875)	Prec@1 57.812 (53.025)	Prec@5 85.938 (82.265)
Epoch: [81][2970/14090]	Time 0.741 (0.753)	Data 0.001 (0.003)	Loss 1.7754 (1.7875)	Prec@1 55.469 (53.027)	Prec@5 82.031 (82.266)
Epoch: [81][2980/14090]	Time 0.746 (0.753)	Data 0.001 (0.003)	Loss 2.1185 (1.7874)	Prec@1 50.000 (53.024)	Prec@5 71.875 (82.266)
Epoch: [81][2990/14090]	Time 0.782 (0.753)	Data 0.001 (0.003)	Loss 1.8981 (1.7878)	Prec@1 47.656 (53.011)	Prec@5 79.688 (82.255)
Epoch: [81][3000/14090]	Time 0.748 (0.753)	Data 0.001 (0.003)	Loss 1.9993 (1.7880)	Prec@1 46.094 (53.011)	Prec@5 78.125 (82.249)
Epoch: [81][3010/14090]	Time 0.742 (0.753)	Data 0.001 (0.002)	Loss 1.6609 (1.7881)	Prec@1 57.812 (53.008)	Prec@5 80.469 (82.247)
Epoch: [81][3020/14090]	Time 0.743 (0.753)	Data 0.002 (0.002)	Loss 1.7571 (1.7880)	Prec@1 58.594 (53.014)	Prec@5 84.375 (82.249)
Epoch: [81][3030/14090]	Time 0.743 (0.753)	Data 0.001 (0.002)	Loss 1.9165 (1.7878)	Prec@1 47.656 (53.014)	Prec@5 78.125 (82.253)
Epoch: [81][3040/14090]	Time 0.729 (0.753)	Data 0.001 (0.002)	Loss 1.9184 (1.7878)	Prec@1 51.562 (53.016)	Prec@5 81.250 (82.250)
Epoch: [81][3050/14090]	Time 0.739 (0.753)	Data 0.001 (0.002)	Loss 1.6896 (1.7877)	Prec@1 53.906 (53.015)	Prec@5 84.375 (82.250)
Epoch: [81][3060/14090]	Time 0.751 (0.753)	Data 0.001 (0.002)	Loss 2.0835 (1.7876)	Prec@1 47.656 (53.021)	Prec@5 82.812 (82.252)
Epoch: [81][3070/14090]	Time 0.779 (0.753)	Data 0.001 (0.002)	Loss 1.6314 (1.7876)	Prec@1 56.250 (53.018)	Prec@5 87.500 (82.252)
Epoch: [81][3080/14090]	Time 0.752 (0.753)	Data 0.001 (0.002)	Loss 1.6326 (1.7874)	Prec@1 55.469 (53.021)	Prec@5 84.375 (82.257)
Epoch: [81][3090/14090]	Time 0.746 (0.753)	Data 0.002 (0.002)	Loss 1.7392 (1.7874)	Prec@1 55.469 (53.023)	Prec@5 82.812 (82.257)
Epoch: [81][3100/14090]	Time 0.760 (0.753)	Data 0.001 (0.002)	Loss 1.8037 (1.7874)	Prec@1 55.469 (53.023)	Prec@5 77.344 (82.256)
Epoch: [81][3110/14090]	Time 0.757 (0.753)	Data 0.001 (0.002)	Loss 1.6556 (1.7871)	Prec@1 56.250 (53.028)	Prec@5 85.156 (82.262)
Epoch: [81][3120/14090]	Time 0.788 (0.753)	Data 0.001 (0.002)	Loss 1.8983 (1.7870)	Prec@1 50.000 (53.028)	Prec@5 78.125 (82.261)
Epoch: [81][3130/14090]	Time 0.729 (0.753)	Data 0.001 (0.002)	Loss 1.6472 (1.7870)	Prec@1 54.688 (53.029)	Prec@5 85.938 (82.262)
Epoch: [81][3140/14090]	Time 0.740 (0.753)	Data 0.001 (0.002)	Loss 2.0470 (1.7873)	Prec@1 47.656 (53.026)	Prec@5 73.438 (82.256)
Epoch: [81][3150/14090]	Time 0.770 (0.753)	Data 0.001 (0.002)	Loss 1.5866 (1.7875)	Prec@1 62.500 (53.019)	Prec@5 82.812 (82.255)
Epoch: [81][3160/14090]	Time 0.741 (0.753)	Data 0.002 (0.002)	Loss 1.6322 (1.7876)	Prec@1 57.812 (53.018)	Prec@5 85.156 (82.255)
Epoch: [81][3170/14090]	Time 0.756 (0.753)	Data 0.001 (0.002)	Loss 1.6305 (1.7879)	Prec@1 55.469 (53.009)	Prec@5 85.156 (82.253)
Epoch: [81][3180/14090]	Time 0.769 (0.753)	Data 0.001 (0.002)	Loss 1.9242 (1.7877)	Prec@1 51.562 (53.011)	Prec@5 82.031 (82.257)
Epoch: [81][3190/14090]	Time 0.749 (0.753)	Data 0.001 (0.002)	Loss 1.7440 (1.7879)	Prec@1 53.906 (53.007)	Prec@5 85.156 (82.254)
Epoch: [81][3200/14090]	Time 0.735 (0.753)	Data 0.001 (0.002)	Loss 1.9068 (1.7880)	Prec@1 48.438 (53.003)	Prec@5 80.469 (82.250)
Epoch: [81][3210/14090]	Time 0.758 (0.753)	Data 0.001 (0.002)	Loss 1.7468 (1.7880)	Prec@1 57.031 (53.006)	Prec@5 81.250 (82.249)
Epoch: [81][3220/14090]	Time 0.779 (0.753)	Data 0.001 (0.002)	Loss 1.8835 (1.7881)	Prec@1 50.000 (53.006)	Prec@5 78.906 (82.249)
Epoch: [81][3230/14090]	Time 0.750 (0.753)	Data 0.002 (0.002)	Loss 1.9751 (1.7884)	Prec@1 53.125 (53.000)	Prec@5 77.344 (82.243)
Epoch: [81][3240/14090]	Time 0.747 (0.753)	Data 0.001 (0.002)	Loss 1.5388 (1.7882)	Prec@1 57.812 (53.000)	Prec@5 85.938 (82.245)
Epoch: [81][3250/14090]	Time 0.778 (0.753)	Data 0.001 (0.002)	Loss 1.6712 (1.7880)	Prec@1 47.656 (53.003)	Prec@5 89.844 (82.250)
Epoch: [81][3260/14090]	Time 0.727 (0.753)	Data 0.001 (0.002)	Loss 1.5596 (1.7882)	Prec@1 55.469 (53.000)	Prec@5 86.719 (82.244)
Epoch: [81][3270/14090]	Time 0.757 (0.753)	Data 0.001 (0.002)	Loss 1.6507 (1.7881)	Prec@1 58.594 (53.002)	Prec@5 85.938 (82.245)
Epoch: [81][3280/14090]	Time 0.726 (0.753)	Data 0.001 (0.002)	Loss 1.8672 (1.7879)	Prec@1 50.781 (53.003)	Prec@5 77.344 (82.245)
Epoch: [81][3290/14090]	Time 0.777 (0.753)	Data 0.001 (0.002)	Loss 1.7906 (1.7880)	Prec@1 50.000 (52.998)	Prec@5 85.938 (82.245)
Epoch: [81][3300/14090]	Time 0.744 (0.753)	Data 0.007 (0.002)	Loss 1.8119 (1.7879)	Prec@1 50.781 (53.000)	Prec@5 83.594 (82.244)
Epoch: [81][3310/14090]	Time 0.775 (0.753)	Data 0.001 (0.002)	Loss 1.8072 (1.7878)	Prec@1 54.688 (53.002)	Prec@5 78.125 (82.246)
Epoch: [81][3320/14090]	Time 0.774 (0.753)	Data 0.001 (0.002)	Loss 1.8829 (1.7879)	Prec@1 57.812 (53.004)	Prec@5 79.688 (82.246)
Epoch: [81][3330/14090]	Time 0.767 (0.753)	Data 0.001 (0.002)	Loss 1.7490 (1.7880)	Prec@1 53.125 (53.002)	Prec@5 84.375 (82.248)
Epoch: [81][3340/14090]	Time 0.732 (0.753)	Data 0.001 (0.002)	Loss 1.8083 (1.7880)	Prec@1 50.000 (53.000)	Prec@5 78.906 (82.246)
Epoch: [81][3350/14090]	Time 0.765 (0.753)	Data 0.001 (0.002)	Loss 1.6045 (1.7882)	Prec@1 57.031 (52.997)	Prec@5 86.719 (82.245)
Epoch: [81][3360/14090]	Time 0.757 (0.753)	Data 0.001 (0.002)	Loss 1.9323 (1.7882)	Prec@1 50.781 (52.996)	Prec@5 79.688 (82.243)
Epoch: [81][3370/14090]	Time 0.772 (0.753)	Data 0.002 (0.002)	Loss 1.8082 (1.7881)	Prec@1 55.469 (53.000)	Prec@5 82.031 (82.244)
Epoch: [81][3380/14090]	Time 0.756 (0.753)	Data 0.001 (0.002)	Loss 1.7713 (1.7880)	Prec@1 50.781 (52.998)	Prec@5 85.156 (82.248)
Epoch: [81][3390/14090]	Time 0.741 (0.753)	Data 0.001 (0.002)	Loss 1.4364 (1.7879)	Prec@1 63.281 (52.999)	Prec@5 87.500 (82.253)
Epoch: [81][3400/14090]	Time 0.762 (0.753)	Data 0.001 (0.002)	Loss 1.9269 (1.7882)	Prec@1 52.344 (52.996)	Prec@5 79.688 (82.248)
Epoch: [81][3410/14090]	Time 0.748 (0.753)	Data 0.001 (0.002)	Loss 1.7366 (1.7879)	Prec@1 51.562 (53.005)	Prec@5 83.594 (82.253)
Epoch: [81][3420/14090]	Time 0.745 (0.753)	Data 0.001 (0.002)	Loss 1.6243 (1.7879)	Prec@1 57.812 (53.007)	Prec@5 85.938 (82.252)
Epoch: [81][3430/14090]	Time 0.753 (0.753)	Data 0.001 (0.002)	Loss 1.8780 (1.7879)	Prec@1 52.344 (53.010)	Prec@5 80.469 (82.250)
Epoch: [81][3440/14090]	Time 0.737 (0.753)	Data 0.002 (0.002)	Loss 1.8391 (1.7880)	Prec@1 50.000 (53.006)	Prec@5 82.812 (82.245)
Epoch: [81][3450/14090]	Time 0.740 (0.753)	Data 0.001 (0.002)	Loss 1.6196 (1.7879)	Prec@1 51.562 (53.008)	Prec@5 88.281 (82.246)
Epoch: [81][3460/14090]	Time 0.748 (0.753)	Data 0.001 (0.002)	Loss 1.7292 (1.7879)	Prec@1 50.781 (53.008)	Prec@5 80.469 (82.245)
Epoch: [81][3470/14090]	Time 0.752 (0.753)	Data 0.001 (0.002)	Loss 1.6177 (1.7881)	Prec@1 57.812 (53.007)	Prec@5 82.812 (82.243)
Epoch: [81][3480/14090]	Time 0.755 (0.753)	Data 0.001 (0.002)	Loss 1.9328 (1.7880)	Prec@1 52.344 (53.012)	Prec@5 82.031 (82.244)
Epoch: [81][3490/14090]	Time 0.767 (0.753)	Data 0.001 (0.002)	Loss 1.8755 (1.7881)	Prec@1 46.875 (53.009)	Prec@5 79.688 (82.241)
Epoch: [81][3500/14090]	Time 0.782 (0.753)	Data 0.001 (0.002)	Loss 1.6857 (1.7880)	Prec@1 58.594 (53.013)	Prec@5 81.250 (82.243)
Epoch: [81][3510/14090]	Time 0.752 (0.753)	Data 0.002 (0.002)	Loss 2.0929 (1.7880)	Prec@1 49.219 (53.012)	Prec@5 73.438 (82.242)
Epoch: [81][3520/14090]	Time 0.747 (0.753)	Data 0.001 (0.002)	Loss 1.9515 (1.7884)	Prec@1 40.625 (53.000)	Prec@5 78.125 (82.233)
Epoch: [81][3530/14090]	Time 0.753 (0.753)	Data 0.001 (0.002)	Loss 1.8122 (1.7884)	Prec@1 50.781 (53.000)	Prec@5 78.125 (82.233)
Epoch: [81][3540/14090]	Time 0.770 (0.753)	Data 0.001 (0.002)	Loss 1.7595 (1.7883)	Prec@1 54.688 (53.005)	Prec@5 85.156 (82.235)
Epoch: [81][3550/14090]	Time 0.738 (0.753)	Data 0.001 (0.002)	Loss 1.9146 (1.7883)	Prec@1 46.875 (53.000)	Prec@5 77.344 (82.233)
Epoch: [81][3560/14090]	Time 0.745 (0.753)	Data 0.001 (0.002)	Loss 2.0784 (1.7886)	Prec@1 46.875 (52.995)	Prec@5 75.781 (82.228)
Epoch: [81][3570/14090]	Time 0.741 (0.752)	Data 0.001 (0.002)	Loss 1.9737 (1.7884)	Prec@1 51.562 (52.997)	Prec@5 80.469 (82.233)
Epoch: [81][3580/14090]	Time 0.768 (0.752)	Data 0.003 (0.002)	Loss 1.7208 (1.7883)	Prec@1 58.594 (53.002)	Prec@5 85.156 (82.235)
Epoch: [81][3590/14090]	Time 0.756 (0.752)	Data 0.002 (0.002)	Loss 1.6953 (1.7883)	Prec@1 56.250 (53.002)	Prec@5 83.594 (82.236)
Epoch: [81][3600/14090]	Time 0.733 (0.752)	Data 0.001 (0.002)	Loss 1.7784 (1.7884)	Prec@1 50.000 (53.002)	Prec@5 80.469 (82.231)
Epoch: [81][3610/14090]	Time 0.732 (0.752)	Data 0.001 (0.002)	Loss 2.2113 (1.7885)	Prec@1 50.000 (53.002)	Prec@5 75.781 (82.231)
Epoch: [81][3620/14090]	Time 0.745 (0.752)	Data 0.001 (0.002)	Loss 1.7469 (1.7884)	Prec@1 62.500 (53.006)	Prec@5 81.250 (82.232)
Epoch: [81][3630/14090]	Time 0.746 (0.752)	Data 0.001 (0.002)	Loss 2.0763 (1.7886)	Prec@1 45.312 (53.003)	Prec@5 78.906 (82.228)
Epoch: [81][3640/14090]	Time 0.772 (0.752)	Data 0.001 (0.002)	Loss 1.6744 (1.7886)	Prec@1 53.125 (53.002)	Prec@5 84.375 (82.227)
Epoch: [81][3650/14090]	Time 0.757 (0.752)	Data 0.002 (0.002)	Loss 1.6124 (1.7884)	Prec@1 60.938 (53.004)	Prec@5 88.281 (82.228)
Epoch: [81][3660/14090]	Time 0.760 (0.752)	Data 0.001 (0.002)	Loss 1.7922 (1.7887)	Prec@1 55.469 (52.999)	Prec@5 83.594 (82.221)
Epoch: [81][3670/14090]	Time 0.778 (0.752)	Data 0.001 (0.002)	Loss 1.8132 (1.7888)	Prec@1 53.906 (52.993)	Prec@5 79.688 (82.218)
Epoch: [81][3680/14090]	Time 0.759 (0.752)	Data 0.001 (0.002)	Loss 1.6794 (1.7889)	Prec@1 55.469 (52.995)	Prec@5 83.594 (82.214)
Epoch: [81][3690/14090]	Time 0.738 (0.752)	Data 0.001 (0.002)	Loss 1.8829 (1.7890)	Prec@1 49.219 (52.994)	Prec@5 78.906 (82.209)
Epoch: [81][3700/14090]	Time 0.751 (0.752)	Data 0.001 (0.002)	Loss 1.6599 (1.7890)	Prec@1 55.469 (52.996)	Prec@5 85.938 (82.211)
Epoch: [81][3710/14090]	Time 0.772 (0.752)	Data 0.001 (0.002)	Loss 1.8190 (1.7891)	Prec@1 52.344 (52.995)	Prec@5 82.031 (82.209)
Epoch: [81][3720/14090]	Time 0.753 (0.752)	Data 0.002 (0.002)	Loss 1.7448 (1.7891)	Prec@1 53.906 (52.989)	Prec@5 82.031 (82.213)
Epoch: [81][3730/14090]	Time 0.759 (0.752)	Data 0.001 (0.002)	Loss 1.7547 (1.7892)	Prec@1 49.219 (52.987)	Prec@5 82.812 (82.212)
Epoch: [81][3740/14090]	Time 0.762 (0.752)	Data 0.001 (0.002)	Loss 1.6959 (1.7891)	Prec@1 54.688 (52.987)	Prec@5 84.375 (82.212)
Epoch: [81][3750/14090]	Time 0.745 (0.752)	Data 0.001 (0.002)	Loss 1.5867 (1.7891)	Prec@1 55.469 (52.988)	Prec@5 85.938 (82.211)
Epoch: [81][3760/14090]	Time 0.757 (0.752)	Data 0.001 (0.002)	Loss 1.6483 (1.7891)	Prec@1 53.906 (52.985)	Prec@5 82.031 (82.213)
Epoch: [81][3770/14090]	Time 0.753 (0.752)	Data 0.001 (0.002)	Loss 1.8320 (1.7895)	Prec@1 57.812 (52.979)	Prec@5 80.469 (82.207)
Epoch: [81][3780/14090]	Time 0.758 (0.752)	Data 0.001 (0.002)	Loss 1.8088 (1.7894)	Prec@1 50.000 (52.980)	Prec@5 78.125 (82.203)
Epoch: [81][3790/14090]	Time 0.746 (0.752)	Data 0.002 (0.002)	Loss 1.9417 (1.7894)	Prec@1 57.031 (52.979)	Prec@5 77.344 (82.205)
Epoch: [81][3800/14090]	Time 0.747 (0.752)	Data 0.001 (0.002)	Loss 1.7673 (1.7893)	Prec@1 54.688 (52.981)	Prec@5 79.688 (82.206)
Epoch: [81][3810/14090]	Time 0.752 (0.752)	Data 0.001 (0.002)	Loss 1.7315 (1.7892)	Prec@1 51.562 (52.981)	Prec@5 85.156 (82.208)
Epoch: [81][3820/14090]	Time 0.763 (0.752)	Data 0.001 (0.002)	Loss 1.9813 (1.7891)	Prec@1 46.094 (52.981)	Prec@5 75.781 (82.209)
Epoch: [81][3830/14090]	Time 0.780 (0.752)	Data 0.001 (0.002)	Loss 1.9485 (1.7891)	Prec@1 45.312 (52.976)	Prec@5 73.438 (82.208)
Epoch: [81][3840/14090]	Time 0.731 (0.752)	Data 0.001 (0.002)	Loss 2.1659 (1.7893)	Prec@1 42.969 (52.970)	Prec@5 74.219 (82.204)
Epoch: [81][3850/14090]	Time 0.759 (0.752)	Data 0.001 (0.002)	Loss 1.8674 (1.7891)	Prec@1 53.125 (52.976)	Prec@5 80.469 (82.209)
Epoch: [81][3860/14090]	Time 0.757 (0.752)	Data 0.002 (0.002)	Loss 1.5406 (1.7890)	Prec@1 61.719 (52.980)	Prec@5 83.594 (82.212)
Epoch: [81][3870/14090]	Time 0.764 (0.752)	Data 0.001 (0.002)	Loss 1.4252 (1.7890)	Prec@1 62.500 (52.980)	Prec@5 88.281 (82.215)
Epoch: [81][3880/14090]	Time 0.742 (0.752)	Data 0.001 (0.002)	Loss 1.8440 (1.7889)	Prec@1 50.781 (52.982)	Prec@5 79.688 (82.217)
Epoch: [81][3890/14090]	Time 0.723 (0.752)	Data 0.001 (0.002)	Loss 1.8052 (1.7891)	Prec@1 53.125 (52.979)	Prec@5 83.594 (82.214)
Epoch: [81][3900/14090]	Time 0.743 (0.752)	Data 0.001 (0.002)	Loss 1.8735 (1.7893)	Prec@1 53.906 (52.976)	Prec@5 76.562 (82.211)
Epoch: [81][3910/14090]	Time 0.746 (0.752)	Data 0.001 (0.002)	Loss 1.8350 (1.7895)	Prec@1 51.562 (52.975)	Prec@5 85.156 (82.207)
Epoch: [81][3920/14090]	Time 0.731 (0.752)	Data 0.001 (0.002)	Loss 1.8732 (1.7895)	Prec@1 46.094 (52.975)	Prec@5 82.031 (82.206)
Epoch: [81][3930/14090]	Time 0.746 (0.752)	Data 0.002 (0.002)	Loss 1.6764 (1.7895)	Prec@1 57.031 (52.977)	Prec@5 83.594 (82.206)
Epoch: [81][3940/14090]	Time 0.728 (0.752)	Data 0.001 (0.002)	Loss 1.9227 (1.7895)	Prec@1 46.875 (52.978)	Prec@5 78.125 (82.208)
Epoch: [81][3950/14090]	Time 0.740 (0.752)	Data 0.001 (0.002)	Loss 1.8010 (1.7897)	Prec@1 55.469 (52.973)	Prec@5 80.469 (82.204)
Epoch: [81][3960/14090]	Time 0.747 (0.752)	Data 0.001 (0.002)	Loss 1.8023 (1.7896)	Prec@1 53.125 (52.974)	Prec@5 80.469 (82.203)
Epoch: [81][3970/14090]	Time 0.772 (0.752)	Data 0.001 (0.002)	Loss 1.9023 (1.7894)	Prec@1 51.562 (52.976)	Prec@5 76.562 (82.207)
Epoch: [81][3980/14090]	Time 0.755 (0.752)	Data 0.001 (0.002)	Loss 2.0301 (1.7894)	Prec@1 50.000 (52.979)	Prec@5 80.469 (82.209)
Epoch: [81][3990/14090]	Time 0.781 (0.752)	Data 0.001 (0.002)	Loss 1.7883 (1.7896)	Prec@1 58.594 (52.975)	Prec@5 82.031 (82.209)
Epoch: [81][4000/14090]	Time 0.750 (0.752)	Data 0.002 (0.002)	Loss 1.6873 (1.7895)	Prec@1 51.562 (52.980)	Prec@5 85.156 (82.211)
Epoch: [81][4010/14090]	Time 0.728 (0.752)	Data 0.001 (0.002)	Loss 1.8463 (1.7895)	Prec@1 50.000 (52.978)	Prec@5 78.906 (82.209)
Epoch: [81][4020/14090]	Time 0.758 (0.752)	Data 0.001 (0.002)	Loss 1.8230 (1.7896)	Prec@1 52.344 (52.979)	Prec@5 82.812 (82.207)
Epoch: [81][4030/14090]	Time 0.786 (0.752)	Data 0.001 (0.002)	Loss 1.7864 (1.7894)	Prec@1 49.219 (52.985)	Prec@5 83.594 (82.212)
Epoch: [81][4040/14090]	Time 0.757 (0.752)	Data 0.001 (0.002)	Loss 1.6434 (1.7892)	Prec@1 60.156 (52.991)	Prec@5 88.281 (82.217)
Epoch: [81][4050/14090]	Time 0.748 (0.752)	Data 0.001 (0.002)	Loss 1.9037 (1.7890)	Prec@1 51.562 (52.993)	Prec@5 83.594 (82.224)
Epoch: [81][4060/14090]	Time 0.750 (0.752)	Data 0.001 (0.002)	Loss 2.0168 (1.7889)	Prec@1 42.188 (52.994)	Prec@5 78.906 (82.227)
Epoch: [81][4070/14090]	Time 0.758 (0.752)	Data 0.002 (0.002)	Loss 1.7975 (1.7887)	Prec@1 49.219 (52.998)	Prec@5 84.375 (82.231)
Epoch: [81][4080/14090]	Time 0.770 (0.752)	Data 0.001 (0.002)	Loss 1.7409 (1.7887)	Prec@1 53.906 (53.002)	Prec@5 86.719 (82.233)
Epoch: [81][4090/14090]	Time 0.771 (0.752)	Data 0.001 (0.002)	Loss 1.5575 (1.7885)	Prec@1 56.250 (53.001)	Prec@5 86.719 (82.235)
Epoch: [81][4100/14090]	Time 0.739 (0.752)	Data 0.001 (0.002)	Loss 1.8332 (1.7885)	Prec@1 50.781 (52.999)	Prec@5 81.250 (82.235)
Epoch: [81][4110/14090]	Time 0.776 (0.752)	Data 0.001 (0.002)	Loss 1.6560 (1.7886)	Prec@1 60.156 (52.996)	Prec@5 80.469 (82.232)
Epoch: [81][4120/14090]	Time 0.724 (0.752)	Data 0.001 (0.002)	Loss 1.7612 (1.7887)	Prec@1 56.250 (52.996)	Prec@5 84.375 (82.232)
Epoch: [81][4130/14090]	Time 0.749 (0.752)	Data 0.001 (0.002)	Loss 1.6221 (1.7886)	Prec@1 56.250 (53.003)	Prec@5 86.719 (82.234)
Epoch: [81][4140/14090]	Time 0.736 (0.752)	Data 0.002 (0.002)	Loss 1.7098 (1.7885)	Prec@1 53.906 (53.002)	Prec@5 82.031 (82.237)
Epoch: [81][4150/14090]	Time 0.776 (0.752)	Data 0.001 (0.002)	Loss 1.9880 (1.7884)	Prec@1 52.344 (53.003)	Prec@5 76.562 (82.236)
Epoch: [81][4160/14090]	Time 0.741 (0.752)	Data 0.001 (0.002)	Loss 1.7414 (1.7884)	Prec@1 49.219 (53.001)	Prec@5 82.031 (82.235)
Epoch: [81][4170/14090]	Time 0.749 (0.752)	Data 0.001 (0.002)	Loss 1.7562 (1.7883)	Prec@1 53.125 (53.000)	Prec@5 80.469 (82.236)
Epoch: [81][4180/14090]	Time 0.751 (0.752)	Data 0.001 (0.002)	Loss 1.9645 (1.7882)	Prec@1 43.750 (53.000)	Prec@5 82.812 (82.240)
Epoch: [81][4190/14090]	Time 0.776 (0.752)	Data 0.001 (0.002)	Loss 1.7315 (1.7882)	Prec@1 58.594 (53.002)	Prec@5 79.688 (82.241)
Epoch: [81][4200/14090]	Time 0.747 (0.752)	Data 0.001 (0.002)	Loss 1.9134 (1.7882)	Prec@1 54.688 (53.003)	Prec@5 78.125 (82.240)
Epoch: [81][4210/14090]	Time 0.744 (0.752)	Data 0.002 (0.002)	Loss 1.6019 (1.7882)	Prec@1 57.031 (53.002)	Prec@5 87.500 (82.241)
Epoch: [81][4220/14090]	Time 0.777 (0.752)	Data 0.001 (0.002)	Loss 1.8743 (1.7884)	Prec@1 46.094 (52.995)	Prec@5 82.031 (82.238)
Epoch: [81][4230/14090]	Time 0.754 (0.752)	Data 0.001 (0.002)	Loss 1.9028 (1.7882)	Prec@1 53.125 (53.000)	Prec@5 79.688 (82.240)
Epoch: [81][4240/14090]	Time 0.725 (0.752)	Data 0.001 (0.002)	Loss 1.7097 (1.7883)	Prec@1 51.562 (52.997)	Prec@5 82.031 (82.237)
Epoch: [81][4250/14090]	Time 0.761 (0.752)	Data 0.001 (0.002)	Loss 1.9148 (1.7884)	Prec@1 50.781 (52.994)	Prec@5 76.562 (82.236)
Epoch: [81][4260/14090]	Time 0.743 (0.752)	Data 0.001 (0.002)	Loss 1.8008 (1.7884)	Prec@1 51.562 (52.996)	Prec@5 85.938 (82.236)
Epoch: [81][4270/14090]	Time 0.771 (0.752)	Data 0.001 (0.002)	Loss 2.0643 (1.7884)	Prec@1 47.656 (52.997)	Prec@5 80.469 (82.238)
Epoch: [81][4280/14090]	Time 0.746 (0.752)	Data 0.002 (0.002)	Loss 1.7234 (1.7884)	Prec@1 54.688 (52.999)	Prec@5 85.156 (82.242)
Epoch: [81][4290/14090]	Time 0.742 (0.752)	Data 0.001 (0.002)	Loss 1.7460 (1.7885)	Prec@1 60.156 (53.001)	Prec@5 83.594 (82.240)
Epoch: [81][4300/14090]	Time 0.762 (0.752)	Data 0.001 (0.002)	Loss 1.6688 (1.7887)	Prec@1 57.031 (52.998)	Prec@5 83.594 (82.234)
Epoch: [81][4310/14090]	Time 0.741 (0.752)	Data 0.001 (0.002)	Loss 1.8539 (1.7887)	Prec@1 53.125 (53.000)	Prec@5 79.688 (82.235)
Epoch: [81][4320/14090]	Time 0.772 (0.752)	Data 0.001 (0.002)	Loss 1.8246 (1.7887)	Prec@1 55.469 (52.999)	Prec@5 84.375 (82.232)
Epoch: [81][4330/14090]	Time 0.722 (0.752)	Data 0.001 (0.002)	Loss 1.7048 (1.7888)	Prec@1 55.469 (53.001)	Prec@5 85.156 (82.229)
Epoch: [81][4340/14090]	Time 0.738 (0.752)	Data 0.001 (0.002)	Loss 1.5704 (1.7888)	Prec@1 60.156 (53.001)	Prec@5 85.156 (82.227)
Epoch: [81][4350/14090]	Time 0.725 (0.752)	Data 0.002 (0.002)	Loss 1.6773 (1.7889)	Prec@1 55.469 (52.996)	Prec@5 85.938 (82.226)
Epoch: [81][4360/14090]	Time 0.746 (0.752)	Data 0.001 (0.002)	Loss 1.7569 (1.7890)	Prec@1 53.906 (52.992)	Prec@5 81.250 (82.225)
Epoch: [81][4370/14090]	Time 0.763 (0.752)	Data 0.001 (0.002)	Loss 2.0649 (1.7892)	Prec@1 50.000 (52.987)	Prec@5 81.250 (82.224)
Epoch: [81][4380/14090]	Time 0.746 (0.752)	Data 0.001 (0.002)	Loss 1.7573 (1.7895)	Prec@1 57.031 (52.978)	Prec@5 82.031 (82.217)
Epoch: [81][4390/14090]	Time 0.741 (0.752)	Data 0.001 (0.002)	Loss 1.8846 (1.7897)	Prec@1 48.438 (52.976)	Prec@5 82.812 (82.212)
Epoch: [81][4400/14090]	Time 0.780 (0.752)	Data 0.001 (0.002)	Loss 1.5379 (1.7896)	Prec@1 59.375 (52.979)	Prec@5 81.250 (82.209)
Epoch: [81][4410/14090]	Time 0.748 (0.752)	Data 0.001 (0.002)	Loss 1.9404 (1.7898)	Prec@1 52.344 (52.975)	Prec@5 83.594 (82.206)
Epoch: [81][4420/14090]	Time 0.743 (0.752)	Data 0.003 (0.002)	Loss 1.5864 (1.7898)	Prec@1 57.812 (52.975)	Prec@5 85.156 (82.207)
Epoch: [81][4430/14090]	Time 0.757 (0.752)	Data 0.001 (0.002)	Loss 2.0736 (1.7897)	Prec@1 50.000 (52.978)	Prec@5 75.781 (82.208)
Epoch: [81][4440/14090]	Time 0.721 (0.752)	Data 0.001 (0.002)	Loss 1.9224 (1.7897)	Prec@1 42.188 (52.979)	Prec@5 85.938 (82.210)
Epoch: [81][4450/14090]	Time 0.749 (0.752)	Data 0.001 (0.002)	Loss 1.8301 (1.7898)	Prec@1 56.250 (52.976)	Prec@5 80.469 (82.206)
Epoch: [81][4460/14090]	Time 0.764 (0.752)	Data 0.001 (0.002)	Loss 1.7356 (1.7898)	Prec@1 59.375 (52.979)	Prec@5 81.250 (82.205)
Epoch: [81][4470/14090]	Time 0.746 (0.752)	Data 0.001 (0.002)	Loss 1.9566 (1.7898)	Prec@1 48.438 (52.983)	Prec@5 80.469 (82.207)
Epoch: [81][4480/14090]	Time 0.760 (0.752)	Data 0.001 (0.002)	Loss 1.8495 (1.7898)	Prec@1 52.344 (52.982)	Prec@5 77.344 (82.208)
Epoch: [81][4490/14090]	Time 0.764 (0.752)	Data 0.002 (0.002)	Loss 1.4717 (1.7897)	Prec@1 52.344 (52.983)	Prec@5 85.938 (82.210)
Epoch: [81][4500/14090]	Time 0.764 (0.752)	Data 0.001 (0.002)	Loss 1.6922 (1.7896)	Prec@1 59.375 (52.985)	Prec@5 82.031 (82.208)
Epoch: [81][4510/14090]	Time 0.732 (0.752)	Data 0.001 (0.002)	Loss 1.8876 (1.7896)	Prec@1 50.781 (52.982)	Prec@5 79.688 (82.207)
Epoch: [81][4520/14090]	Time 0.727 (0.752)	Data 0.001 (0.002)	Loss 1.7657 (1.7896)	Prec@1 57.031 (52.986)	Prec@5 82.812 (82.206)
Epoch: [81][4530/14090]	Time 0.770 (0.752)	Data 0.001 (0.002)	Loss 1.8847 (1.7897)	Prec@1 53.125 (52.985)	Prec@5 78.125 (82.201)
Epoch: [81][4540/14090]	Time 0.739 (0.752)	Data 0.001 (0.002)	Loss 1.6063 (1.7898)	Prec@1 54.688 (52.984)	Prec@5 83.594 (82.201)
Epoch: [81][4550/14090]	Time 0.744 (0.752)	Data 0.001 (0.002)	Loss 1.4354 (1.7898)	Prec@1 58.594 (52.986)	Prec@5 85.938 (82.201)
Epoch: [81][4560/14090]	Time 0.750 (0.752)	Data 0.002 (0.002)	Loss 1.9237 (1.7900)	Prec@1 54.688 (52.984)	Prec@5 79.688 (82.194)
Epoch: [81][4570/14090]	Time 0.774 (0.752)	Data 0.001 (0.002)	Loss 1.6441 (1.7901)	Prec@1 55.469 (52.981)	Prec@5 84.375 (82.196)
Epoch: [81][4580/14090]	Time 0.727 (0.752)	Data 0.001 (0.002)	Loss 1.9414 (1.7901)	Prec@1 43.750 (52.973)	Prec@5 80.469 (82.194)
Epoch: [81][4590/14090]	Time 0.750 (0.752)	Data 0.001 (0.002)	Loss 1.7690 (1.7901)	Prec@1 50.000 (52.971)	Prec@5 82.812 (82.194)
Epoch: [81][4600/14090]	Time 0.744 (0.752)	Data 0.001 (0.002)	Loss 1.7815 (1.7902)	Prec@1 55.469 (52.969)	Prec@5 84.375 (82.191)
Epoch: [81][4610/14090]	Time 0.760 (0.752)	Data 0.001 (0.002)	Loss 1.6861 (1.7902)	Prec@1 52.344 (52.968)	Prec@5 88.281 (82.194)
Epoch: [81][4620/14090]	Time 0.747 (0.752)	Data 0.001 (0.002)	Loss 1.7036 (1.7901)	Prec@1 53.125 (52.969)	Prec@5 88.281 (82.197)
Epoch: [81][4630/14090]	Time 0.765 (0.752)	Data 0.002 (0.002)	Loss 1.7862 (1.7900)	Prec@1 51.562 (52.972)	Prec@5 80.469 (82.199)
Epoch: [81][4640/14090]	Time 0.757 (0.752)	Data 0.001 (0.002)	Loss 1.6343 (1.7898)	Prec@1 59.375 (52.982)	Prec@5 85.156 (82.204)
Epoch: [81][4650/14090]	Time 0.771 (0.752)	Data 0.001 (0.002)	Loss 1.7863 (1.7897)	Prec@1 57.812 (52.983)	Prec@5 78.125 (82.204)
Epoch: [81][4660/14090]	Time 0.742 (0.752)	Data 0.001 (0.002)	Loss 1.7587 (1.7898)	Prec@1 56.250 (52.985)	Prec@5 84.375 (82.201)
Epoch: [81][4670/14090]	Time 0.755 (0.752)	Data 0.001 (0.002)	Loss 1.8757 (1.7899)	Prec@1 49.219 (52.981)	Prec@5 82.812 (82.198)
Epoch: [81][4680/14090]	Time 0.777 (0.752)	Data 0.001 (0.002)	Loss 2.3190 (1.7901)	Prec@1 45.312 (52.976)	Prec@5 72.656 (82.195)
Epoch: [81][4690/14090]	Time 0.757 (0.752)	Data 0.001 (0.002)	Loss 1.6152 (1.7902)	Prec@1 58.594 (52.972)	Prec@5 89.062 (82.195)
Epoch: [81][4700/14090]	Time 0.740 (0.752)	Data 0.002 (0.002)	Loss 1.7468 (1.7903)	Prec@1 57.031 (52.969)	Prec@5 85.938 (82.196)
Epoch: [81][4710/14090]	Time 0.765 (0.752)	Data 0.001 (0.002)	Loss 1.6703 (1.7905)	Prec@1 54.688 (52.963)	Prec@5 83.594 (82.193)
Epoch: [81][4720/14090]	Time 0.736 (0.752)	Data 0.001 (0.002)	Loss 1.8034 (1.7906)	Prec@1 50.781 (52.961)	Prec@5 80.469 (82.191)
Epoch: [81][4730/14090]	Time 0.736 (0.752)	Data 0.001 (0.002)	Loss 1.7680 (1.7908)	Prec@1 51.562 (52.958)	Prec@5 82.812 (82.190)
Epoch: [81][4740/14090]	Time 0.740 (0.752)	Data 0.001 (0.002)	Loss 1.8787 (1.7909)	Prec@1 48.438 (52.956)	Prec@5 78.125 (82.186)
Epoch: [81][4750/14090]	Time 0.739 (0.752)	Data 0.001 (0.002)	Loss 1.6876 (1.7912)	Prec@1 53.906 (52.954)	Prec@5 85.156 (82.181)
Epoch: [81][4760/14090]	Time 0.759 (0.752)	Data 0.001 (0.002)	Loss 1.6063 (1.7911)	Prec@1 57.031 (52.957)	Prec@5 86.719 (82.181)
Epoch: [81][4770/14090]	Time 0.744 (0.752)	Data 0.002 (0.002)	Loss 1.5535 (1.7910)	Prec@1 60.156 (52.958)	Prec@5 90.625 (82.185)
Epoch: [81][4780/14090]	Time 0.739 (0.752)	Data 0.001 (0.002)	Loss 1.9258 (1.7911)	Prec@1 48.438 (52.954)	Prec@5 81.250 (82.183)
Epoch: [81][4790/14090]	Time 0.759 (0.752)	Data 0.001 (0.002)	Loss 1.7263 (1.7911)	Prec@1 53.906 (52.953)	Prec@5 84.375 (82.184)
Epoch: [81][4800/14090]	Time 0.739 (0.752)	Data 0.001 (0.002)	Loss 1.7689 (1.7911)	Prec@1 54.688 (52.953)	Prec@5 82.031 (82.184)
Epoch: [81][4810/14090]	Time 0.768 (0.752)	Data 0.001 (0.002)	Loss 1.9477 (1.7911)	Prec@1 48.438 (52.950)	Prec@5 77.344 (82.185)
Epoch: [81][4820/14090]	Time 0.757 (0.752)	Data 0.001 (0.002)	Loss 2.0028 (1.7912)	Prec@1 49.219 (52.949)	Prec@5 79.688 (82.183)
Epoch: [81][4830/14090]	Time 0.742 (0.752)	Data 0.001 (0.002)	Loss 1.6845 (1.7915)	Prec@1 58.594 (52.945)	Prec@5 81.250 (82.178)
Epoch: [81][4840/14090]	Time 0.742 (0.752)	Data 0.002 (0.002)	Loss 1.8174 (1.7916)	Prec@1 52.344 (52.944)	Prec@5 78.906 (82.177)
Epoch: [81][4850/14090]	Time 0.772 (0.752)	Data 0.001 (0.002)	Loss 1.6905 (1.7916)	Prec@1 57.812 (52.946)	Prec@5 85.156 (82.178)
Epoch: [81][4860/14090]	Time 0.754 (0.752)	Data 0.001 (0.002)	Loss 1.6602 (1.7915)	Prec@1 50.000 (52.941)	Prec@5 85.938 (82.181)
Epoch: [81][4870/14090]	Time 0.739 (0.752)	Data 0.001 (0.002)	Loss 1.9766 (1.7917)	Prec@1 48.438 (52.938)	Prec@5 77.344 (82.176)
Epoch: [81][4880/14090]	Time 0.721 (0.752)	Data 0.001 (0.002)	Loss 1.7177 (1.7916)	Prec@1 53.125 (52.939)	Prec@5 86.719 (82.176)
Epoch: [81][4890/14090]	Time 0.721 (0.752)	Data 0.001 (0.002)	Loss 1.6020 (1.7916)	Prec@1 61.719 (52.939)	Prec@5 83.594 (82.177)
Epoch: [81][4900/14090]	Time 0.744 (0.752)	Data 0.001 (0.002)	Loss 1.6880 (1.7914)	Prec@1 56.250 (52.945)	Prec@5 85.938 (82.179)
Epoch: [81][4910/14090]	Time 0.733 (0.752)	Data 0.002 (0.002)	Loss 2.2755 (1.7913)	Prec@1 44.531 (52.947)	Prec@5 75.000 (82.178)
Epoch: [81][4920/14090]	Time 0.749 (0.752)	Data 0.001 (0.002)	Loss 1.7515 (1.7913)	Prec@1 58.594 (52.947)	Prec@5 78.906 (82.178)
Epoch: [81][4930/14090]	Time 0.779 (0.752)	Data 0.001 (0.002)	Loss 1.7314 (1.7913)	Prec@1 56.250 (52.943)	Prec@5 80.469 (82.176)
Epoch: [81][4940/14090]	Time 0.743 (0.752)	Data 0.001 (0.002)	Loss 1.8438 (1.7912)	Prec@1 46.094 (52.944)	Prec@5 82.031 (82.182)
Epoch: [81][4950/14090]	Time 0.741 (0.752)	Data 0.001 (0.002)	Loss 1.6888 (1.7912)	Prec@1 53.125 (52.944)	Prec@5 84.375 (82.184)
Epoch: [81][4960/14090]	Time 0.754 (0.752)	Data 0.001 (0.002)	Loss 1.8448 (1.7911)	Prec@1 51.562 (52.945)	Prec@5 78.125 (82.186)
Epoch: [81][4970/14090]	Time 0.750 (0.752)	Data 0.001 (0.002)	Loss 1.6497 (1.7910)	Prec@1 60.938 (52.946)	Prec@5 83.594 (82.186)
Epoch: [81][4980/14090]	Time 0.739 (0.752)	Data 0.002 (0.002)	Loss 1.9062 (1.7910)	Prec@1 48.438 (52.947)	Prec@5 77.344 (82.187)
Epoch: [81][4990/14090]	Time 0.770 (0.752)	Data 0.001 (0.002)	Loss 1.9461 (1.7911)	Prec@1 49.219 (52.946)	Prec@5 80.469 (82.187)
Epoch: [81][5000/14090]	Time 0.761 (0.752)	Data 0.001 (0.002)	Loss 1.7016 (1.7912)	Prec@1 51.562 (52.944)	Prec@5 89.062 (82.184)
Epoch: [81][5010/14090]	Time 0.747 (0.752)	Data 0.001 (0.002)	Loss 2.1505 (1.7912)	Prec@1 42.969 (52.940)	Prec@5 77.344 (82.184)
Epoch: [81][5020/14090]	Time 0.745 (0.752)	Data 0.001 (0.002)	Loss 1.7766 (1.7911)	Prec@1 57.031 (52.942)	Prec@5 82.031 (82.184)
Epoch: [81][5030/14090]	Time 0.785 (0.752)	Data 0.001 (0.002)	Loss 1.6397 (1.7912)	Prec@1 53.906 (52.940)	Prec@5 84.375 (82.185)
Epoch: [81][5040/14090]	Time 0.759 (0.752)	Data 0.001 (0.002)	Loss 1.8450 (1.7913)	Prec@1 51.562 (52.939)	Prec@5 81.250 (82.184)
Epoch: [81][5050/14090]	Time 0.737 (0.752)	Data 0.002 (0.002)	Loss 1.6745 (1.7912)	Prec@1 55.469 (52.940)	Prec@5 84.375 (82.185)
Epoch: [81][5060/14090]	Time 0.773 (0.752)	Data 0.001 (0.002)	Loss 1.6079 (1.7910)	Prec@1 53.125 (52.945)	Prec@5 87.500 (82.191)
Epoch: [81][5070/14090]	Time 0.754 (0.752)	Data 0.001 (0.002)	Loss 2.1231 (1.7911)	Prec@1 43.750 (52.943)	Prec@5 84.375 (82.193)
Epoch: [81][5080/14090]	Time 0.732 (0.752)	Data 0.001 (0.002)	Loss 1.8168 (1.7910)	Prec@1 53.125 (52.943)	Prec@5 80.469 (82.191)
Epoch: [81][5090/14090]	Time 0.751 (0.752)	Data 0.001 (0.002)	Loss 2.0260 (1.7910)	Prec@1 52.344 (52.942)	Prec@5 76.562 (82.191)
Epoch: [81][5100/14090]	Time 0.732 (0.752)	Data 0.001 (0.002)	Loss 1.5924 (1.7911)	Prec@1 53.125 (52.937)	Prec@5 84.375 (82.189)
Epoch: [81][5110/14090]	Time 0.770 (0.752)	Data 0.001 (0.002)	Loss 1.8737 (1.7910)	Prec@1 48.438 (52.939)	Prec@5 81.250 (82.189)
Epoch: [81][5120/14090]	Time 0.757 (0.752)	Data 0.002 (0.002)	Loss 1.8764 (1.7912)	Prec@1 50.781 (52.934)	Prec@5 81.250 (82.186)
Epoch: [81][5130/14090]	Time 0.755 (0.752)	Data 0.001 (0.002)	Loss 1.7751 (1.7912)	Prec@1 50.000 (52.935)	Prec@5 85.156 (82.187)
Epoch: [81][5140/14090]	Time 0.757 (0.752)	Data 0.001 (0.002)	Loss 1.7032 (1.7912)	Prec@1 57.812 (52.934)	Prec@5 83.594 (82.184)
Epoch: [81][5150/14090]	Time 0.737 (0.752)	Data 0.001 (0.002)	Loss 1.5786 (1.7912)	Prec@1 59.375 (52.935)	Prec@5 85.938 (82.186)
Epoch: [81][5160/14090]	Time 0.781 (0.752)	Data 0.001 (0.002)	Loss 1.8715 (1.7914)	Prec@1 53.906 (52.932)	Prec@5 78.906 (82.184)
Epoch: [81][5170/14090]	Time 0.763 (0.752)	Data 0.001 (0.002)	Loss 1.6505 (1.7913)	Prec@1 48.438 (52.934)	Prec@5 88.281 (82.187)
Epoch: [81][5180/14090]	Time 0.750 (0.752)	Data 0.001 (0.002)	Loss 1.8447 (1.7914)	Prec@1 50.781 (52.932)	Prec@5 76.562 (82.184)
Epoch: [81][5190/14090]	Time 0.759 (0.752)	Data 0.002 (0.002)	Loss 1.8842 (1.7914)	Prec@1 55.469 (52.929)	Prec@5 79.688 (82.184)
Epoch: [81][5200/14090]	Time 0.745 (0.752)	Data 0.001 (0.002)	Loss 1.9709 (1.7914)	Prec@1 44.531 (52.929)	Prec@5 81.250 (82.184)
Epoch: [81][5210/14090]	Time 0.748 (0.752)	Data 0.001 (0.002)	Loss 2.0461 (1.7915)	Prec@1 43.750 (52.927)	Prec@5 79.688 (82.183)
Epoch: [81][5220/14090]	Time 0.750 (0.752)	Data 0.001 (0.002)	Loss 1.8380 (1.7915)	Prec@1 50.000 (52.925)	Prec@5 81.250 (82.183)
Epoch: [81][5230/14090]	Time 0.723 (0.752)	Data 0.001 (0.002)	Loss 1.8257 (1.7916)	Prec@1 51.562 (52.921)	Prec@5 82.812 (82.181)
Epoch: [81][5240/14090]	Time 0.750 (0.752)	Data 0.001 (0.002)	Loss 1.7129 (1.7916)	Prec@1 60.938 (52.921)	Prec@5 81.250 (82.183)
Epoch: [81][5250/14090]	Time 0.767 (0.752)	Data 0.001 (0.002)	Loss 1.6683 (1.7915)	Prec@1 54.688 (52.920)	Prec@5 82.812 (82.184)
Epoch: [81][5260/14090]	Time 0.769 (0.752)	Data 0.002 (0.002)	Loss 1.7486 (1.7918)	Prec@1 50.000 (52.917)	Prec@5 83.594 (82.180)
Epoch: [81][5270/14090]	Time 0.746 (0.752)	Data 0.001 (0.002)	Loss 2.0779 (1.7918)	Prec@1 50.000 (52.917)	Prec@5 73.438 (82.178)
Epoch: [81][5280/14090]	Time 0.756 (0.752)	Data 0.001 (0.002)	Loss 1.6434 (1.7919)	Prec@1 60.156 (52.917)	Prec@5 79.688 (82.176)
Epoch: [81][5290/14090]	Time 0.748 (0.752)	Data 0.001 (0.002)	Loss 1.5918 (1.7920)	Prec@1 57.031 (52.912)	Prec@5 82.031 (82.175)
Epoch: [81][5300/14090]	Time 0.743 (0.752)	Data 0.001 (0.002)	Loss 2.0169 (1.7920)	Prec@1 47.656 (52.910)	Prec@5 77.344 (82.175)
Epoch: [81][5310/14090]	Time 0.748 (0.752)	Data 0.001 (0.002)	Loss 2.2043 (1.7921)	Prec@1 45.312 (52.908)	Prec@5 79.688 (82.172)
Epoch: [81][5320/14090]	Time 0.717 (0.752)	Data 0.001 (0.002)	Loss 2.0356 (1.7921)	Prec@1 49.219 (52.904)	Prec@5 77.344 (82.174)
Epoch: [81][5330/14090]	Time 0.752 (0.752)	Data 0.002 (0.002)	Loss 1.7730 (1.7921)	Prec@1 55.469 (52.904)	Prec@5 82.812 (82.172)
Epoch: [81][5340/14090]	Time 0.726 (0.752)	Data 0.001 (0.002)	Loss 1.9550 (1.7921)	Prec@1 51.562 (52.905)	Prec@5 80.469 (82.172)
Epoch: [81][5350/14090]	Time 0.759 (0.752)	Data 0.001 (0.002)	Loss 1.6118 (1.7920)	Prec@1 53.125 (52.910)	Prec@5 82.812 (82.172)
Epoch: [81][5360/14090]	Time 0.739 (0.752)	Data 0.001 (0.002)	Loss 1.8855 (1.7918)	Prec@1 50.000 (52.914)	Prec@5 77.344 (82.174)
Epoch: [81][5370/14090]	Time 0.740 (0.752)	Data 0.001 (0.002)	Loss 1.8511 (1.7918)	Prec@1 53.125 (52.916)	Prec@5 74.219 (82.172)
Epoch: [81][5380/14090]	Time 0.749 (0.752)	Data 0.001 (0.002)	Loss 1.8790 (1.7917)	Prec@1 48.438 (52.918)	Prec@5 82.031 (82.174)
Epoch: [81][5390/14090]	Time 0.726 (0.752)	Data 0.001 (0.002)	Loss 1.6589 (1.7918)	Prec@1 56.250 (52.917)	Prec@5 85.938 (82.171)
Epoch: [81][5400/14090]	Time 0.760 (0.752)	Data 0.002 (0.002)	Loss 1.9906 (1.7918)	Prec@1 46.875 (52.919)	Prec@5 82.031 (82.173)
Epoch: [81][5410/14090]	Time 0.753 (0.752)	Data 0.001 (0.002)	Loss 1.9285 (1.7919)	Prec@1 52.344 (52.918)	Prec@5 77.344 (82.171)
Epoch: [81][5420/14090]	Time 0.747 (0.752)	Data 0.001 (0.002)	Loss 1.7965 (1.7919)	Prec@1 55.469 (52.915)	Prec@5 85.156 (82.171)
Epoch: [81][5430/14090]	Time 0.759 (0.752)	Data 0.001 (0.002)	Loss 1.6738 (1.7919)	Prec@1 51.562 (52.913)	Prec@5 84.375 (82.172)
Epoch: [81][5440/14090]	Time 0.763 (0.752)	Data 0.001 (0.002)	Loss 1.8058 (1.7919)	Prec@1 50.000 (52.912)	Prec@5 85.156 (82.171)
Epoch: [81][5450/14090]	Time 0.764 (0.752)	Data 0.001 (0.002)	Loss 1.8057 (1.7919)	Prec@1 53.125 (52.913)	Prec@5 85.156 (82.173)
Epoch: [81][5460/14090]	Time 0.773 (0.752)	Data 0.001 (0.002)	Loss 1.7989 (1.7919)	Prec@1 54.688 (52.911)	Prec@5 85.938 (82.174)
Epoch: [81][5470/14090]	Time 0.750 (0.752)	Data 0.002 (0.002)	Loss 1.7467 (1.7919)	Prec@1 52.344 (52.912)	Prec@5 81.250 (82.173)
Epoch: [81][5480/14090]	Time 0.784 (0.752)	Data 0.001 (0.002)	Loss 1.7383 (1.7920)	Prec@1 53.125 (52.909)	Prec@5 82.812 (82.172)
Epoch: [81][5490/14090]	Time 0.727 (0.752)	Data 0.001 (0.002)	Loss 1.9694 (1.7920)	Prec@1 46.094 (52.907)	Prec@5 78.906 (82.171)
Epoch: [81][5500/14090]	Time 0.763 (0.752)	Data 0.001 (0.002)	Loss 1.7422 (1.7920)	Prec@1 53.906 (52.910)	Prec@5 83.594 (82.171)
Epoch: [81][5510/14090]	Time 0.777 (0.752)	Data 0.002 (0.002)	Loss 1.9577 (1.7920)	Prec@1 48.438 (52.911)	Prec@5 78.906 (82.171)
Epoch: [81][5520/14090]	Time 0.755 (0.752)	Data 0.001 (0.002)	Loss 1.8622 (1.7920)	Prec@1 56.250 (52.914)	Prec@5 78.906 (82.171)
Epoch: [81][5530/14090]	Time 0.729 (0.752)	Data 0.001 (0.002)	Loss 1.7990 (1.7923)	Prec@1 53.906 (52.908)	Prec@5 85.938 (82.166)
Epoch: [81][5540/14090]	Time 0.743 (0.752)	Data 0.002 (0.002)	Loss 1.6970 (1.7921)	Prec@1 52.344 (52.909)	Prec@5 82.031 (82.169)
Epoch: [81][5550/14090]	Time 0.748 (0.752)	Data 0.001 (0.002)	Loss 1.7180 (1.7922)	Prec@1 53.906 (52.905)	Prec@5 85.156 (82.169)
Epoch: [81][5560/14090]	Time 0.758 (0.752)	Data 0.001 (0.002)	Loss 1.5708 (1.7921)	Prec@1 57.031 (52.907)	Prec@5 87.500 (82.167)
Epoch: [81][5570/14090]	Time 0.743 (0.752)	Data 0.001 (0.002)	Loss 2.1279 (1.7922)	Prec@1 45.312 (52.905)	Prec@5 75.000 (82.165)
Epoch: [81][5580/14090]	Time 0.744 (0.752)	Data 0.002 (0.002)	Loss 2.0613 (1.7923)	Prec@1 48.438 (52.903)	Prec@5 76.562 (82.163)
Epoch: [81][5590/14090]	Time 0.745 (0.752)	Data 0.001 (0.002)	Loss 1.6883 (1.7923)	Prec@1 59.375 (52.902)	Prec@5 81.250 (82.163)
Epoch: [81][5600/14090]	Time 0.747 (0.752)	Data 0.001 (0.002)	Loss 1.8886 (1.7922)	Prec@1 48.438 (52.902)	Prec@5 76.562 (82.164)
Epoch: [81][5610/14090]	Time 0.737 (0.752)	Data 0.002 (0.002)	Loss 1.9423 (1.7923)	Prec@1 50.000 (52.899)	Prec@5 77.344 (82.162)
Epoch: [81][5620/14090]	Time 0.741 (0.752)	Data 0.001 (0.002)	Loss 1.7720 (1.7924)	Prec@1 52.344 (52.898)	Prec@5 81.250 (82.159)
Epoch: [81][5630/14090]	Time 0.743 (0.752)	Data 0.001 (0.002)	Loss 2.1195 (1.7925)	Prec@1 50.000 (52.895)	Prec@5 78.906 (82.158)
Epoch: [81][5640/14090]	Time 0.754 (0.752)	Data 0.001 (0.002)	Loss 1.7437 (1.7926)	Prec@1 51.562 (52.895)	Prec@5 82.031 (82.155)
Epoch: [81][5650/14090]	Time 0.735 (0.752)	Data 0.001 (0.002)	Loss 1.9579 (1.7926)	Prec@1 52.344 (52.896)	Prec@5 76.562 (82.154)
Epoch: [81][5660/14090]	Time 0.760 (0.752)	Data 0.001 (0.002)	Loss 1.7841 (1.7927)	Prec@1 52.344 (52.894)	Prec@5 81.250 (82.154)
Epoch: [81][5670/14090]	Time 0.743 (0.752)	Data 0.001 (0.002)	Loss 1.8147 (1.7926)	Prec@1 50.781 (52.893)	Prec@5 85.156 (82.156)
Epoch: [81][5680/14090]	Time 0.755 (0.752)	Data 0.002 (0.002)	Loss 1.6276 (1.7926)	Prec@1 56.250 (52.894)	Prec@5 82.812 (82.156)
Epoch: [81][5690/14090]	Time 0.780 (0.752)	Data 0.001 (0.002)	Loss 1.6074 (1.7926)	Prec@1 56.250 (52.894)	Prec@5 83.594 (82.155)
Epoch: [81][5700/14090]	Time 0.777 (0.752)	Data 0.001 (0.002)	Loss 1.7992 (1.7926)	Prec@1 53.906 (52.894)	Prec@5 81.250 (82.155)
Epoch: [81][5710/14090]	Time 0.745 (0.752)	Data 0.001 (0.002)	Loss 1.9656 (1.7927)	Prec@1 49.219 (52.893)	Prec@5 84.375 (82.155)
Epoch: [81][5720/14090]	Time 0.745 (0.752)	Data 0.001 (0.002)	Loss 2.0535 (1.7928)	Prec@1 46.875 (52.891)	Prec@5 82.031 (82.153)
Epoch: [81][5730/14090]	Time 0.763 (0.752)	Data 0.001 (0.002)	Loss 1.8206 (1.7928)	Prec@1 51.562 (52.890)	Prec@5 82.812 (82.153)
Epoch: [81][5740/14090]	Time 0.750 (0.752)	Data 0.001 (0.002)	Loss 1.7850 (1.7928)	Prec@1 51.562 (52.888)	Prec@5 82.031 (82.154)
Epoch: [81][5750/14090]	Time 0.743 (0.752)	Data 0.002 (0.002)	Loss 1.8395 (1.7928)	Prec@1 53.906 (52.888)	Prec@5 84.375 (82.155)
Epoch: [81][5760/14090]	Time 0.753 (0.752)	Data 0.001 (0.002)	Loss 1.7707 (1.7927)	Prec@1 57.031 (52.889)	Prec@5 84.375 (82.157)
Epoch: [81][5770/14090]	Time 0.736 (0.752)	Data 0.001 (0.002)	Loss 1.9760 (1.7927)	Prec@1 52.344 (52.890)	Prec@5 80.469 (82.157)
Epoch: [81][5780/14090]	Time 0.755 (0.752)	Data 0.001 (0.002)	Loss 1.9097 (1.7926)	Prec@1 50.781 (52.892)	Prec@5 82.031 (82.158)
Epoch: [81][5790/14090]	Time 0.755 (0.752)	Data 0.001 (0.002)	Loss 1.7983 (1.7926)	Prec@1 53.125 (52.893)	Prec@5 81.250 (82.159)
Epoch: [81][5800/14090]	Time 0.756 (0.752)	Data 0.001 (0.002)	Loss 1.7258 (1.7926)	Prec@1 53.906 (52.893)	Prec@5 82.812 (82.158)
Epoch: [81][5810/14090]	Time 0.765 (0.752)	Data 0.001 (0.002)	Loss 1.7237 (1.7926)	Prec@1 55.469 (52.891)	Prec@5 83.594 (82.156)
Epoch: [81][5820/14090]	Time 0.734 (0.752)	Data 0.002 (0.002)	Loss 1.5869 (1.7925)	Prec@1 53.906 (52.892)	Prec@5 84.375 (82.155)
Epoch: [81][5830/14090]	Time 0.742 (0.752)	Data 0.001 (0.002)	Loss 1.8667 (1.7925)	Prec@1 48.438 (52.893)	Prec@5 81.250 (82.154)
Epoch: [81][5840/14090]	Time 0.756 (0.752)	Data 0.001 (0.002)	Loss 1.8818 (1.7925)	Prec@1 50.781 (52.893)	Prec@5 83.594 (82.153)
Epoch: [81][5850/14090]	Time 0.755 (0.752)	Data 0.001 (0.002)	Loss 1.6366 (1.7924)	Prec@1 56.250 (52.892)	Prec@5 82.812 (82.154)
Epoch: [81][5860/14090]	Time 0.751 (0.752)	Data 0.001 (0.002)	Loss 1.6382 (1.7923)	Prec@1 53.906 (52.891)	Prec@5 85.156 (82.155)
Epoch: [81][5870/14090]	Time 0.738 (0.752)	Data 0.001 (0.002)	Loss 1.4892 (1.7924)	Prec@1 57.031 (52.887)	Prec@5 85.938 (82.156)
Epoch: [81][5880/14090]	Time 0.752 (0.752)	Data 0.001 (0.002)	Loss 1.7043 (1.7924)	Prec@1 48.438 (52.887)	Prec@5 82.812 (82.156)
Epoch: [81][5890/14090]	Time 0.751 (0.752)	Data 0.002 (0.002)	Loss 1.7294 (1.7924)	Prec@1 51.562 (52.887)	Prec@5 84.375 (82.155)
Epoch: [81][5900/14090]	Time 0.740 (0.752)	Data 0.001 (0.002)	Loss 1.7879 (1.7924)	Prec@1 53.125 (52.888)	Prec@5 83.594 (82.155)
Epoch: [81][5910/14090]	Time 0.755 (0.752)	Data 0.001 (0.002)	Loss 1.4824 (1.7923)	Prec@1 58.594 (52.889)	Prec@5 90.625 (82.158)
Epoch: [81][5920/14090]	Time 0.724 (0.752)	Data 0.001 (0.002)	Loss 1.6917 (1.7923)	Prec@1 51.562 (52.886)	Prec@5 83.594 (82.158)
Epoch: [81][5930/14090]	Time 0.759 (0.752)	Data 0.001 (0.002)	Loss 2.0054 (1.7925)	Prec@1 50.000 (52.883)	Prec@5 76.562 (82.155)
Epoch: [81][5940/14090]	Time 0.742 (0.752)	Data 0.001 (0.002)	Loss 2.1153 (1.7926)	Prec@1 48.438 (52.883)	Prec@5 78.125 (82.153)
Epoch: [81][5950/14090]	Time 0.750 (0.752)	Data 0.001 (0.002)	Loss 1.5989 (1.7925)	Prec@1 54.688 (52.882)	Prec@5 85.156 (82.154)
Epoch: [81][5960/14090]	Time 0.764 (0.752)	Data 0.002 (0.002)	Loss 1.8917 (1.7926)	Prec@1 53.906 (52.881)	Prec@5 77.344 (82.154)
Epoch: [81][5970/14090]	Time 0.727 (0.752)	Data 0.001 (0.002)	Loss 1.9050 (1.7926)	Prec@1 55.469 (52.881)	Prec@5 82.031 (82.156)
Epoch: [81][5980/14090]	Time 0.728 (0.752)	Data 0.001 (0.002)	Loss 1.8882 (1.7926)	Prec@1 51.562 (52.881)	Prec@5 78.906 (82.153)
Epoch: [81][5990/14090]	Time 0.739 (0.752)	Data 0.001 (0.002)	Loss 1.7672 (1.7926)	Prec@1 57.812 (52.880)	Prec@5 85.156 (82.153)
Epoch: [81][6000/14090]	Time 0.772 (0.752)	Data 0.001 (0.002)	Loss 2.0467 (1.7926)	Prec@1 50.000 (52.879)	Prec@5 75.781 (82.153)
Epoch: [81][6010/14090]	Time 0.747 (0.752)	Data 0.001 (0.002)	Loss 2.1542 (1.7926)	Prec@1 42.188 (52.879)	Prec@5 78.906 (82.156)
Epoch: [81][6020/14090]	Time 0.750 (0.752)	Data 0.001 (0.002)	Loss 1.7427 (1.7925)	Prec@1 46.094 (52.880)	Prec@5 83.594 (82.157)
Epoch: [81][6030/14090]	Time 0.742 (0.752)	Data 0.002 (0.002)	Loss 1.6060 (1.7925)	Prec@1 56.250 (52.880)	Prec@5 84.375 (82.158)
Epoch: [81][6040/14090]	Time 0.756 (0.752)	Data 0.001 (0.002)	Loss 1.5951 (1.7924)	Prec@1 52.344 (52.880)	Prec@5 86.719 (82.161)
Epoch: [81][6050/14090]	Time 0.756 (0.752)	Data 0.004 (0.002)	Loss 1.8357 (1.7925)	Prec@1 49.219 (52.881)	Prec@5 80.469 (82.160)
Epoch: [81][6060/14090]	Time 0.786 (0.752)	Data 0.001 (0.002)	Loss 1.6791 (1.7925)	Prec@1 53.125 (52.879)	Prec@5 82.031 (82.161)
Epoch: [81][6070/14090]	Time 0.751 (0.752)	Data 0.001 (0.002)	Loss 1.6635 (1.7924)	Prec@1 49.219 (52.880)	Prec@5 83.594 (82.162)
Epoch: [81][6080/14090]	Time 0.766 (0.752)	Data 0.001 (0.002)	Loss 2.1325 (1.7925)	Prec@1 42.969 (52.879)	Prec@5 75.781 (82.159)
Epoch: [81][6090/14090]	Time 0.743 (0.752)	Data 0.001 (0.002)	Loss 1.7560 (1.7924)	Prec@1 48.438 (52.880)	Prec@5 85.938 (82.163)
Epoch: [81][6100/14090]	Time 0.737 (0.752)	Data 0.002 (0.002)	Loss 1.8033 (1.7927)	Prec@1 54.688 (52.874)	Prec@5 80.469 (82.160)
Epoch: [81][6110/14090]	Time 0.724 (0.752)	Data 0.001 (0.002)	Loss 1.6159 (1.7927)	Prec@1 55.469 (52.873)	Prec@5 85.938 (82.159)
Epoch: [81][6120/14090]	Time 0.758 (0.752)	Data 0.001 (0.002)	Loss 2.0491 (1.7928)	Prec@1 50.000 (52.869)	Prec@5 74.219 (82.159)
Epoch: [81][6130/14090]	Time 0.751 (0.752)	Data 0.001 (0.002)	Loss 1.8645 (1.7927)	Prec@1 53.125 (52.872)	Prec@5 80.469 (82.161)
Epoch: [81][6140/14090]	Time 0.753 (0.752)	Data 0.001 (0.002)	Loss 1.6700 (1.7927)	Prec@1 54.688 (52.874)	Prec@5 82.812 (82.161)
Epoch: [81][6150/14090]	Time 0.758 (0.752)	Data 0.001 (0.002)	Loss 1.7444 (1.7927)	Prec@1 51.562 (52.874)	Prec@5 82.031 (82.161)
Epoch: [81][6160/14090]	Time 0.740 (0.752)	Data 0.001 (0.002)	Loss 1.6378 (1.7926)	Prec@1 59.375 (52.876)	Prec@5 85.156 (82.163)
Epoch: [81][6170/14090]	Time 0.755 (0.752)	Data 0.002 (0.002)	Loss 1.6424 (1.7927)	Prec@1 60.156 (52.877)	Prec@5 83.594 (82.164)
Epoch: [81][6180/14090]	Time 0.757 (0.752)	Data 0.001 (0.002)	Loss 1.8119 (1.7927)	Prec@1 49.219 (52.878)	Prec@5 83.594 (82.162)
Epoch: [81][6190/14090]	Time 0.742 (0.752)	Data 0.001 (0.002)	Loss 1.8438 (1.7928)	Prec@1 52.344 (52.876)	Prec@5 81.250 (82.161)
Epoch: [81][6200/14090]	Time 0.759 (0.752)	Data 0.001 (0.002)	Loss 1.8017 (1.7927)	Prec@1 52.344 (52.874)	Prec@5 78.906 (82.162)
Epoch: [81][6210/14090]	Time 0.735 (0.752)	Data 0.001 (0.002)	Loss 1.7663 (1.7927)	Prec@1 47.656 (52.871)	Prec@5 85.156 (82.161)
Epoch: [81][6220/14090]	Time 0.750 (0.752)	Data 0.001 (0.002)	Loss 1.6581 (1.7927)	Prec@1 55.469 (52.870)	Prec@5 87.500 (82.159)
Epoch: [81][6230/14090]	Time 0.764 (0.752)	Data 0.001 (0.002)	Loss 1.8802 (1.7927)	Prec@1 50.000 (52.869)	Prec@5 85.938 (82.161)
Epoch: [81][6240/14090]	Time 0.750 (0.752)	Data 0.003 (0.002)	Loss 1.9064 (1.7926)	Prec@1 53.125 (52.869)	Prec@5 81.250 (82.161)
Epoch: [81][6250/14090]	Time 0.727 (0.752)	Data 0.001 (0.002)	Loss 1.8049 (1.7928)	Prec@1 53.125 (52.866)	Prec@5 85.156 (82.159)
Epoch: [81][6260/14090]	Time 0.756 (0.752)	Data 0.001 (0.002)	Loss 1.6033 (1.7928)	Prec@1 63.281 (52.867)	Prec@5 83.594 (82.160)
Epoch: [81][6270/14090]	Time 0.730 (0.752)	Data 0.001 (0.002)	Loss 1.9368 (1.7929)	Prec@1 53.125 (52.865)	Prec@5 78.906 (82.156)
Epoch: [81][6280/14090]	Time 0.762 (0.752)	Data 0.001 (0.002)	Loss 1.7223 (1.7929)	Prec@1 55.469 (52.864)	Prec@5 84.375 (82.156)
Epoch: [81][6290/14090]	Time 0.733 (0.752)	Data 0.001 (0.002)	Loss 1.8761 (1.7930)	Prec@1 48.438 (52.860)	Prec@5 79.688 (82.155)
Epoch: [81][6300/14090]	Time 0.779 (0.752)	Data 0.001 (0.002)	Loss 1.6612 (1.7929)	Prec@1 53.906 (52.860)	Prec@5 85.938 (82.156)
Epoch: [81][6310/14090]	Time 0.735 (0.752)	Data 0.002 (0.002)	Loss 1.9421 (1.7929)	Prec@1 48.438 (52.858)	Prec@5 81.250 (82.158)
Epoch: [81][6320/14090]	Time 0.741 (0.752)	Data 0.001 (0.002)	Loss 1.8702 (1.7929)	Prec@1 50.781 (52.861)	Prec@5 81.250 (82.158)
Epoch: [81][6330/14090]	Time 0.740 (0.752)	Data 0.001 (0.002)	Loss 1.8077 (1.7929)	Prec@1 47.656 (52.859)	Prec@5 80.469 (82.156)
Epoch: [81][6340/14090]	Time 0.746 (0.752)	Data 0.001 (0.002)	Loss 1.9089 (1.7929)	Prec@1 48.438 (52.857)	Prec@5 81.250 (82.156)
Epoch: [81][6350/14090]	Time 0.761 (0.752)	Data 0.001 (0.002)	Loss 1.9346 (1.7929)	Prec@1 56.250 (52.859)	Prec@5 81.250 (82.157)
Epoch: [81][6360/14090]	Time 0.728 (0.752)	Data 0.001 (0.002)	Loss 1.7654 (1.7930)	Prec@1 50.000 (52.857)	Prec@5 84.375 (82.159)
Epoch: [81][6370/14090]	Time 0.730 (0.752)	Data 0.001 (0.002)	Loss 1.8267 (1.7929)	Prec@1 54.688 (52.857)	Prec@5 81.250 (82.161)
Epoch: [81][6380/14090]	Time 0.760 (0.752)	Data 0.002 (0.002)	Loss 1.7309 (1.7927)	Prec@1 54.688 (52.864)	Prec@5 81.250 (82.164)
Epoch: [81][6390/14090]	Time 0.747 (0.752)	Data 0.001 (0.002)	Loss 2.1064 (1.7928)	Prec@1 48.438 (52.864)	Prec@5 79.688 (82.163)
Epoch: [81][6400/14090]	Time 0.769 (0.752)	Data 0.001 (0.002)	Loss 1.6280 (1.7929)	Prec@1 53.125 (52.860)	Prec@5 86.719 (82.161)
Epoch: [81][6410/14090]	Time 0.732 (0.752)	Data 0.001 (0.002)	Loss 1.8199 (1.7929)	Prec@1 54.688 (52.858)	Prec@5 78.125 (82.162)
Epoch: [81][6420/14090]	Time 0.767 (0.752)	Data 0.001 (0.002)	Loss 2.0010 (1.7930)	Prec@1 46.094 (52.860)	Prec@5 81.250 (82.163)
Epoch: [81][6430/14090]	Time 0.727 (0.752)	Data 0.001 (0.002)	Loss 1.9544 (1.7930)	Prec@1 48.438 (52.858)	Prec@5 80.469 (82.163)
Epoch: [81][6440/14090]	Time 0.741 (0.752)	Data 0.001 (0.002)	Loss 1.8178 (1.7931)	Prec@1 52.344 (52.856)	Prec@5 82.031 (82.165)
Epoch: [81][6450/14090]	Time 0.762 (0.752)	Data 0.002 (0.002)	Loss 1.7220 (1.7931)	Prec@1 56.250 (52.854)	Prec@5 85.938 (82.167)
Epoch: [81][6460/14090]	Time 0.775 (0.752)	Data 0.001 (0.002)	Loss 1.8825 (1.7929)	Prec@1 53.125 (52.858)	Prec@5 78.125 (82.169)
Epoch: [81][6470/14090]	Time 0.728 (0.752)	Data 0.001 (0.002)	Loss 1.9337 (1.7930)	Prec@1 51.562 (52.857)	Prec@5 78.125 (82.170)
Epoch: [81][6480/14090]	Time 0.760 (0.752)	Data 0.001 (0.002)	Loss 1.5559 (1.7929)	Prec@1 53.125 (52.858)	Prec@5 86.719 (82.170)
Epoch: [81][6490/14090]	Time 0.759 (0.752)	Data 0.001 (0.002)	Loss 1.9942 (1.7929)	Prec@1 48.438 (52.856)	Prec@5 79.688 (82.171)
Epoch: [81][6500/14090]	Time 0.734 (0.752)	Data 0.001 (0.002)	Loss 1.8183 (1.7931)	Prec@1 52.344 (52.853)	Prec@5 82.031 (82.169)
Epoch: [81][6510/14090]	Time 0.778 (0.752)	Data 0.001 (0.002)	Loss 1.9346 (1.7931)	Prec@1 50.000 (52.850)	Prec@5 78.906 (82.169)
Epoch: [81][6520/14090]	Time 0.749 (0.752)	Data 0.002 (0.002)	Loss 1.6207 (1.7931)	Prec@1 55.469 (52.848)	Prec@5 86.719 (82.168)
Epoch: [81][6530/14090]	Time 0.745 (0.752)	Data 0.001 (0.002)	Loss 1.7245 (1.7931)	Prec@1 52.344 (52.848)	Prec@5 83.594 (82.168)
Epoch: [81][6540/14090]	Time 0.777 (0.752)	Data 0.001 (0.002)	Loss 1.6464 (1.7930)	Prec@1 65.625 (52.849)	Prec@5 83.594 (82.170)
Epoch: [81][6550/14090]	Time 0.733 (0.752)	Data 0.001 (0.002)	Loss 1.8282 (1.7930)	Prec@1 48.438 (52.848)	Prec@5 80.469 (82.171)
Epoch: [81][6560/14090]	Time 0.727 (0.752)	Data 0.001 (0.002)	Loss 1.7866 (1.7930)	Prec@1 55.469 (52.847)	Prec@5 83.594 (82.172)
Epoch: [81][6570/14090]	Time 0.742 (0.752)	Data 0.001 (0.002)	Loss 1.5886 (1.7930)	Prec@1 52.344 (52.848)	Prec@5 84.375 (82.174)
Epoch: [81][6580/14090]	Time 0.723 (0.752)	Data 0.001 (0.002)	Loss 1.8935 (1.7930)	Prec@1 55.469 (52.849)	Prec@5 82.031 (82.173)
Epoch: [81][6590/14090]	Time 0.762 (0.752)	Data 0.002 (0.002)	Loss 1.8928 (1.7930)	Prec@1 44.531 (52.847)	Prec@5 80.469 (82.173)
Epoch: [81][6600/14090]	Time 0.752 (0.752)	Data 0.001 (0.002)	Loss 1.7595 (1.7931)	Prec@1 58.594 (52.845)	Prec@5 82.031 (82.172)
Epoch: [81][6610/14090]	Time 0.777 (0.752)	Data 0.001 (0.002)	Loss 1.5771 (1.7931)	Prec@1 56.250 (52.842)	Prec@5 85.938 (82.172)
Epoch: [81][6620/14090]	Time 0.732 (0.752)	Data 0.001 (0.002)	Loss 1.9640 (1.7931)	Prec@1 47.656 (52.842)	Prec@5 78.906 (82.173)
Epoch: [81][6630/14090]	Time 0.750 (0.752)	Data 0.001 (0.002)	Loss 1.8703 (1.7931)	Prec@1 53.125 (52.842)	Prec@5 79.688 (82.173)
Epoch: [81][6640/14090]	Time 0.721 (0.752)	Data 0.001 (0.002)	Loss 1.5795 (1.7931)	Prec@1 57.031 (52.843)	Prec@5 83.594 (82.171)
Epoch: [81][6650/14090]	Time 0.748 (0.752)	Data 0.001 (0.002)	Loss 1.8493 (1.7932)	Prec@1 54.688 (52.841)	Prec@5 83.594 (82.170)
Epoch: [81][6660/14090]	Time 0.760 (0.752)	Data 0.003 (0.002)	Loss 1.6976 (1.7933)	Prec@1 52.344 (52.842)	Prec@5 82.812 (82.168)
Epoch: [81][6670/14090]	Time 0.740 (0.752)	Data 0.001 (0.002)	Loss 1.4710 (1.7932)	Prec@1 56.250 (52.840)	Prec@5 85.938 (82.168)
Epoch: [81][6680/14090]	Time 0.738 (0.752)	Data 0.001 (0.002)	Loss 1.6431 (1.7931)	Prec@1 56.250 (52.844)	Prec@5 85.156 (82.170)
Epoch: [81][6690/14090]	Time 0.774 (0.752)	Data 0.001 (0.002)	Loss 1.9491 (1.7932)	Prec@1 48.438 (52.842)	Prec@5 81.250 (82.168)
Epoch: [81][6700/14090]	Time 0.757 (0.752)	Data 0.001 (0.002)	Loss 1.7867 (1.7932)	Prec@1 53.906 (52.842)	Prec@5 76.562 (82.168)
Epoch: [81][6710/14090]	Time 0.759 (0.752)	Data 0.001 (0.002)	Loss 1.6417 (1.7932)	Prec@1 60.156 (52.841)	Prec@5 83.594 (82.168)
Epoch: [81][6720/14090]	Time 0.733 (0.752)	Data 0.001 (0.002)	Loss 1.6265 (1.7932)	Prec@1 56.250 (52.842)	Prec@5 86.719 (82.170)
Epoch: [81][6730/14090]	Time 0.771 (0.752)	Data 0.002 (0.002)	Loss 1.7935 (1.7933)	Prec@1 55.469 (52.837)	Prec@5 86.719 (82.168)
Epoch: [81][6740/14090]	Time 0.742 (0.752)	Data 0.001 (0.002)	Loss 1.6131 (1.7934)	Prec@1 57.812 (52.837)	Prec@5 84.375 (82.168)
Epoch: [81][6750/14090]	Time 0.764 (0.752)	Data 0.001 (0.002)	Loss 1.8579 (1.7935)	Prec@1 50.781 (52.838)	Prec@5 82.812 (82.167)
Epoch: [81][6760/14090]	Time 0.756 (0.752)	Data 0.001 (0.002)	Loss 1.8407 (1.7936)	Prec@1 54.688 (52.836)	Prec@5 80.469 (82.165)
Epoch: [81][6770/14090]	Time 0.758 (0.752)	Data 0.001 (0.002)	Loss 1.7821 (1.7935)	Prec@1 53.906 (52.836)	Prec@5 82.031 (82.166)
Epoch: [81][6780/14090]	Time 0.730 (0.752)	Data 0.001 (0.002)	Loss 1.7573 (1.7936)	Prec@1 49.219 (52.834)	Prec@5 85.938 (82.165)
Epoch: [81][6790/14090]	Time 0.753 (0.752)	Data 0.001 (0.002)	Loss 1.6353 (1.7936)	Prec@1 55.469 (52.834)	Prec@5 85.156 (82.166)
Epoch: [81][6800/14090]	Time 0.751 (0.752)	Data 0.002 (0.002)	Loss 1.5674 (1.7935)	Prec@1 56.250 (52.835)	Prec@5 84.375 (82.166)
Epoch: [81][6810/14090]	Time 0.784 (0.752)	Data 0.001 (0.002)	Loss 1.5893 (1.7934)	Prec@1 55.469 (52.836)	Prec@5 84.375 (82.170)
Epoch: [81][6820/14090]	Time 0.753 (0.752)	Data 0.001 (0.002)	Loss 1.8077 (1.7934)	Prec@1 52.344 (52.839)	Prec@5 79.688 (82.167)
Epoch: [81][6830/14090]	Time 0.748 (0.752)	Data 0.001 (0.002)	Loss 1.3561 (1.7933)	Prec@1 63.281 (52.839)	Prec@5 89.844 (82.170)
Epoch: [81][6840/14090]	Time 0.742 (0.752)	Data 0.001 (0.002)	Loss 1.8377 (1.7935)	Prec@1 54.688 (52.837)	Prec@5 79.688 (82.168)
Epoch: [81][6850/14090]	Time 0.735 (0.752)	Data 0.001 (0.002)	Loss 1.7496 (1.7935)	Prec@1 52.344 (52.838)	Prec@5 82.812 (82.165)
Epoch: [81][6860/14090]	Time 0.735 (0.752)	Data 0.001 (0.002)	Loss 1.7925 (1.7935)	Prec@1 51.562 (52.838)	Prec@5 84.375 (82.165)
Epoch: [81][6870/14090]	Time 0.774 (0.752)	Data 0.002 (0.002)	Loss 1.5131 (1.7934)	Prec@1 58.594 (52.840)	Prec@5 90.625 (82.166)
Epoch: [81][6880/14090]	Time 0.730 (0.752)	Data 0.001 (0.002)	Loss 1.8980 (1.7935)	Prec@1 51.562 (52.838)	Prec@5 78.906 (82.163)
Epoch: [81][6890/14090]	Time 0.727 (0.752)	Data 0.001 (0.002)	Loss 1.9501 (1.7935)	Prec@1 48.438 (52.836)	Prec@5 76.562 (82.165)
Epoch: [81][6900/14090]	Time 0.734 (0.752)	Data 0.001 (0.002)	Loss 1.4529 (1.7935)	Prec@1 61.719 (52.836)	Prec@5 89.062 (82.164)
Epoch: [81][6910/14090]	Time 0.759 (0.752)	Data 0.001 (0.002)	Loss 1.5802 (1.7935)	Prec@1 54.688 (52.835)	Prec@5 88.281 (82.166)
Epoch: [81][6920/14090]	Time 0.743 (0.751)	Data 0.001 (0.002)	Loss 1.9862 (1.7933)	Prec@1 52.344 (52.837)	Prec@5 75.781 (82.168)
Epoch: [81][6930/14090]	Time 0.749 (0.752)	Data 0.001 (0.002)	Loss 1.6236 (1.7932)	Prec@1 58.594 (52.841)	Prec@5 85.156 (82.169)
Epoch: [81][6940/14090]	Time 0.754 (0.752)	Data 0.002 (0.002)	Loss 1.4946 (1.7932)	Prec@1 54.688 (52.839)	Prec@5 88.281 (82.168)
Epoch: [81][6950/14090]	Time 0.734 (0.751)	Data 0.001 (0.002)	Loss 2.1603 (1.7932)	Prec@1 49.219 (52.838)	Prec@5 75.000 (82.167)
Epoch: [81][6960/14090]	Time 0.775 (0.751)	Data 0.001 (0.002)	Loss 1.7104 (1.7932)	Prec@1 57.812 (52.840)	Prec@5 82.812 (82.165)
Epoch: [81][6970/14090]	Time 0.763 (0.751)	Data 0.001 (0.002)	Loss 1.9093 (1.7933)	Prec@1 46.094 (52.841)	Prec@5 78.125 (82.162)
Epoch: [81][6980/14090]	Time 0.774 (0.751)	Data 0.001 (0.002)	Loss 1.8086 (1.7934)	Prec@1 49.219 (52.841)	Prec@5 83.594 (82.160)
Epoch: [81][6990/14090]	Time 0.749 (0.752)	Data 0.001 (0.002)	Loss 1.9107 (1.7934)	Prec@1 47.656 (52.841)	Prec@5 78.906 (82.160)
Epoch: [81][7000/14090]	Time 0.719 (0.751)	Data 0.001 (0.002)	Loss 1.8836 (1.7934)	Prec@1 51.562 (52.841)	Prec@5 80.469 (82.160)
Epoch: [81][7010/14090]	Time 0.751 (0.751)	Data 0.002 (0.002)	Loss 1.6649 (1.7936)	Prec@1 57.812 (52.835)	Prec@5 85.156 (82.158)
Epoch: [81][7020/14090]	Time 0.741 (0.751)	Data 0.001 (0.002)	Loss 1.6063 (1.7934)	Prec@1 57.812 (52.838)	Prec@5 83.594 (82.161)
Epoch: [81][7030/14090]	Time 0.735 (0.751)	Data 0.001 (0.002)	Loss 1.9554 (1.7935)	Prec@1 48.438 (52.837)	Prec@5 80.469 (82.160)
Epoch: [81][7040/14090]	Time 0.743 (0.751)	Data 0.001 (0.002)	Loss 1.7853 (1.7935)	Prec@1 47.656 (52.834)	Prec@5 83.594 (82.160)
Epoch: [81][7050/14090]	Time 0.726 (0.751)	Data 0.001 (0.002)	Loss 1.7009 (1.7937)	Prec@1 50.000 (52.831)	Prec@5 83.594 (82.156)
Epoch: [81][7060/14090]	Time 0.761 (0.751)	Data 0.001 (0.002)	Loss 1.7159 (1.7938)	Prec@1 52.344 (52.829)	Prec@5 78.906 (82.155)
Epoch: [81][7070/14090]	Time 0.748 (0.751)	Data 0.001 (0.002)	Loss 1.6525 (1.7939)	Prec@1 57.031 (52.827)	Prec@5 85.156 (82.154)
Epoch: [81][7080/14090]	Time 0.752 (0.751)	Data 0.002 (0.002)	Loss 2.1563 (1.7939)	Prec@1 43.750 (52.827)	Prec@5 77.344 (82.153)
Epoch: [81][7090/14090]	Time 0.781 (0.751)	Data 0.001 (0.002)	Loss 1.7850 (1.7938)	Prec@1 53.906 (52.831)	Prec@5 83.594 (82.156)
Epoch: [81][7100/14090]	Time 0.761 (0.751)	Data 0.001 (0.002)	Loss 1.8290 (1.7938)	Prec@1 48.438 (52.831)	Prec@5 85.156 (82.157)
Epoch: [81][7110/14090]	Time 0.757 (0.751)	Data 0.001 (0.002)	Loss 1.8727 (1.7938)	Prec@1 50.781 (52.831)	Prec@5 82.031 (82.156)
Epoch: [81][7120/14090]	Time 0.762 (0.751)	Data 0.001 (0.002)	Loss 2.0121 (1.7938)	Prec@1 52.344 (52.832)	Prec@5 78.125 (82.156)
Epoch: [81][7130/14090]	Time 0.736 (0.751)	Data 0.001 (0.002)	Loss 1.9493 (1.7938)	Prec@1 50.000 (52.832)	Prec@5 74.219 (82.155)
Epoch: [81][7140/14090]	Time 0.728 (0.751)	Data 0.001 (0.002)	Loss 1.9029 (1.7937)	Prec@1 50.000 (52.834)	Prec@5 84.375 (82.155)
Epoch: [81][7150/14090]	Time 0.761 (0.751)	Data 0.002 (0.002)	Loss 2.1384 (1.7937)	Prec@1 50.000 (52.835)	Prec@5 74.219 (82.155)
Epoch: [81][7160/14090]	Time 0.758 (0.751)	Data 0.001 (0.002)	Loss 1.9354 (1.7938)	Prec@1 51.562 (52.832)	Prec@5 80.469 (82.153)
Epoch: [81][7170/14090]	Time 0.762 (0.751)	Data 0.001 (0.002)	Loss 1.9290 (1.7938)	Prec@1 46.875 (52.831)	Prec@5 78.906 (82.153)
Epoch: [81][7180/14090]	Time 0.753 (0.751)	Data 0.001 (0.002)	Loss 1.7101 (1.7939)	Prec@1 60.156 (52.829)	Prec@5 82.031 (82.150)
Epoch: [81][7190/14090]	Time 0.749 (0.751)	Data 0.001 (0.002)	Loss 1.7377 (1.7940)	Prec@1 52.344 (52.829)	Prec@5 84.375 (82.148)
Epoch: [81][7200/14090]	Time 0.737 (0.751)	Data 0.001 (0.002)	Loss 1.7964 (1.7939)	Prec@1 54.688 (52.831)	Prec@5 85.156 (82.146)
Epoch: [81][7210/14090]	Time 0.753 (0.751)	Data 0.001 (0.002)	Loss 1.7744 (1.7940)	Prec@1 53.125 (52.830)	Prec@5 81.250 (82.145)
Epoch: [81][7220/14090]	Time 0.752 (0.751)	Data 0.002 (0.002)	Loss 2.0664 (1.7940)	Prec@1 45.312 (52.830)	Prec@5 78.906 (82.147)
Epoch: [81][7230/14090]	Time 0.748 (0.751)	Data 0.001 (0.002)	Loss 1.9214 (1.7940)	Prec@1 49.219 (52.828)	Prec@5 78.125 (82.146)
Epoch: [81][7240/14090]	Time 0.727 (0.751)	Data 0.001 (0.002)	Loss 1.6592 (1.7940)	Prec@1 53.906 (52.829)	Prec@5 84.375 (82.147)
Epoch: [81][7250/14090]	Time 0.735 (0.751)	Data 0.001 (0.002)	Loss 1.7559 (1.7940)	Prec@1 50.781 (52.829)	Prec@5 77.344 (82.145)
Epoch: [81][7260/14090]	Time 0.742 (0.751)	Data 0.001 (0.002)	Loss 1.7542 (1.7941)	Prec@1 50.781 (52.826)	Prec@5 84.375 (82.145)
Epoch: [81][7270/14090]	Time 0.746 (0.751)	Data 0.001 (0.002)	Loss 1.7679 (1.7941)	Prec@1 51.562 (52.826)	Prec@5 86.719 (82.146)
Epoch: [81][7280/14090]	Time 0.737 (0.751)	Data 0.001 (0.002)	Loss 1.7063 (1.7940)	Prec@1 54.688 (52.829)	Prec@5 82.812 (82.148)
Epoch: [81][7290/14090]	Time 0.739 (0.751)	Data 0.003 (0.002)	Loss 1.7814 (1.7940)	Prec@1 52.344 (52.831)	Prec@5 83.594 (82.148)
Epoch: [81][7300/14090]	Time 0.735 (0.751)	Data 0.001 (0.002)	Loss 1.8341 (1.7941)	Prec@1 57.031 (52.827)	Prec@5 77.344 (82.149)
Epoch: [81][7310/14090]	Time 0.736 (0.751)	Data 0.001 (0.002)	Loss 1.5094 (1.7940)	Prec@1 60.156 (52.827)	Prec@5 87.500 (82.150)
Epoch: [81][7320/14090]	Time 0.734 (0.751)	Data 0.001 (0.002)	Loss 1.5982 (1.7941)	Prec@1 53.125 (52.825)	Prec@5 85.938 (82.151)
Epoch: [81][7330/14090]	Time 0.758 (0.751)	Data 0.001 (0.002)	Loss 1.8218 (1.7941)	Prec@1 45.312 (52.825)	Prec@5 85.156 (82.152)
Epoch: [81][7340/14090]	Time 0.741 (0.751)	Data 0.001 (0.002)	Loss 1.9549 (1.7941)	Prec@1 46.875 (52.823)	Prec@5 78.906 (82.154)
Epoch: [81][7350/14090]	Time 0.756 (0.751)	Data 0.001 (0.002)	Loss 1.9220 (1.7941)	Prec@1 43.750 (52.821)	Prec@5 81.250 (82.154)
Epoch: [81][7360/14090]	Time 0.756 (0.751)	Data 0.002 (0.002)	Loss 1.7618 (1.7941)	Prec@1 51.562 (52.823)	Prec@5 80.469 (82.154)
Epoch: [81][7370/14090]	Time 0.745 (0.751)	Data 0.001 (0.002)	Loss 2.2904 (1.7943)	Prec@1 42.969 (52.816)	Prec@5 76.562 (82.153)
Epoch: [81][7380/14090]	Time 0.771 (0.751)	Data 0.001 (0.002)	Loss 1.8417 (1.7943)	Prec@1 51.562 (52.816)	Prec@5 81.250 (82.153)
Epoch: [81][7390/14090]	Time 0.724 (0.751)	Data 0.001 (0.002)	Loss 1.9875 (1.7944)	Prec@1 50.781 (52.814)	Prec@5 78.125 (82.152)
Epoch: [81][7400/14090]	Time 0.745 (0.751)	Data 0.001 (0.002)	Loss 1.8048 (1.7944)	Prec@1 59.375 (52.817)	Prec@5 85.156 (82.153)
Epoch: [81][7410/14090]	Time 0.743 (0.751)	Data 0.001 (0.002)	Loss 1.5453 (1.7944)	Prec@1 54.688 (52.819)	Prec@5 90.625 (82.153)
Epoch: [81][7420/14090]	Time 0.732 (0.751)	Data 0.001 (0.002)	Loss 1.7486 (1.7943)	Prec@1 52.344 (52.817)	Prec@5 80.469 (82.154)
Epoch: [81][7430/14090]	Time 0.756 (0.751)	Data 0.002 (0.002)	Loss 1.9007 (1.7943)	Prec@1 47.656 (52.816)	Prec@5 80.469 (82.154)
Epoch: [81][7440/14090]	Time 0.777 (0.751)	Data 0.001 (0.002)	Loss 1.8725 (1.7944)	Prec@1 49.219 (52.815)	Prec@5 82.031 (82.152)
Epoch: [81][7450/14090]	Time 0.725 (0.751)	Data 0.001 (0.002)	Loss 1.7361 (1.7944)	Prec@1 54.688 (52.814)	Prec@5 85.156 (82.152)
Epoch: [81][7460/14090]	Time 0.756 (0.751)	Data 0.001 (0.002)	Loss 1.6983 (1.7944)	Prec@1 52.344 (52.814)	Prec@5 87.500 (82.152)
Epoch: [81][7470/14090]	Time 0.736 (0.751)	Data 0.001 (0.002)	Loss 2.3641 (1.7946)	Prec@1 42.188 (52.811)	Prec@5 74.219 (82.149)
Epoch: [81][7480/14090]	Time 0.722 (0.751)	Data 0.001 (0.002)	Loss 2.0425 (1.7947)	Prec@1 44.531 (52.810)	Prec@5 81.250 (82.146)
Epoch: [81][7490/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 2.0116 (1.7947)	Prec@1 40.625 (52.810)	Prec@5 79.688 (82.144)
Epoch: [81][7500/14090]	Time 0.749 (0.751)	Data 0.002 (0.002)	Loss 1.8207 (1.7947)	Prec@1 52.344 (52.812)	Prec@5 82.812 (82.144)
Epoch: [81][7510/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 1.9063 (1.7948)	Prec@1 46.875 (52.806)	Prec@5 79.688 (82.141)
Epoch: [81][7520/14090]	Time 0.753 (0.751)	Data 0.001 (0.002)	Loss 1.9109 (1.7948)	Prec@1 50.000 (52.810)	Prec@5 82.031 (82.141)
Epoch: [81][7530/14090]	Time 0.743 (0.751)	Data 0.001 (0.002)	Loss 1.9707 (1.7948)	Prec@1 50.000 (52.808)	Prec@5 82.812 (82.139)
Epoch: [81][7540/14090]	Time 0.771 (0.751)	Data 0.001 (0.002)	Loss 1.8749 (1.7949)	Prec@1 53.906 (52.807)	Prec@5 79.688 (82.135)
Epoch: [81][7550/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 2.0731 (1.7949)	Prec@1 49.219 (52.808)	Prec@5 79.688 (82.135)
Epoch: [81][7560/14090]	Time 0.746 (0.751)	Data 0.001 (0.002)	Loss 1.7506 (1.7949)	Prec@1 52.344 (52.809)	Prec@5 83.594 (82.136)
Epoch: [81][7570/14090]	Time 0.761 (0.751)	Data 0.002 (0.002)	Loss 1.8713 (1.7949)	Prec@1 46.094 (52.808)	Prec@5 81.250 (82.135)
Epoch: [81][7580/14090]	Time 0.752 (0.751)	Data 0.001 (0.002)	Loss 1.8002 (1.7949)	Prec@1 53.125 (52.810)	Prec@5 82.031 (82.135)
Epoch: [81][7590/14090]	Time 0.732 (0.751)	Data 0.001 (0.002)	Loss 1.8800 (1.7948)	Prec@1 53.125 (52.810)	Prec@5 78.906 (82.135)
Epoch: [81][7600/14090]	Time 0.743 (0.751)	Data 0.001 (0.002)	Loss 2.0124 (1.7949)	Prec@1 47.656 (52.806)	Prec@5 76.562 (82.134)
Epoch: [81][7610/14090]	Time 0.765 (0.751)	Data 0.001 (0.002)	Loss 1.9365 (1.7950)	Prec@1 53.906 (52.804)	Prec@5 77.344 (82.132)
Epoch: [81][7620/14090]	Time 0.750 (0.751)	Data 0.001 (0.002)	Loss 1.7859 (1.7950)	Prec@1 56.250 (52.803)	Prec@5 78.125 (82.132)
Epoch: [81][7630/14090]	Time 0.743 (0.751)	Data 0.001 (0.002)	Loss 1.7934 (1.7950)	Prec@1 49.219 (52.801)	Prec@5 84.375 (82.132)
Epoch: [81][7640/14090]	Time 0.748 (0.751)	Data 0.002 (0.002)	Loss 1.6755 (1.7949)	Prec@1 53.125 (52.803)	Prec@5 83.594 (82.134)
Epoch: [81][7650/14090]	Time 0.759 (0.751)	Data 0.001 (0.002)	Loss 1.7717 (1.7949)	Prec@1 61.719 (52.807)	Prec@5 82.812 (82.135)
Epoch: [81][7660/14090]	Time 0.736 (0.751)	Data 0.001 (0.002)	Loss 1.9153 (1.7949)	Prec@1 52.344 (52.806)	Prec@5 77.344 (82.133)
Epoch: [81][7670/14090]	Time 0.751 (0.751)	Data 0.001 (0.002)	Loss 1.9675 (1.7949)	Prec@1 47.656 (52.805)	Prec@5 80.469 (82.134)
Epoch: [81][7680/14090]	Time 0.746 (0.751)	Data 0.001 (0.002)	Loss 1.5513 (1.7949)	Prec@1 60.938 (52.806)	Prec@5 87.500 (82.135)
Epoch: [81][7690/14090]	Time 0.772 (0.751)	Data 0.001 (0.002)	Loss 1.8673 (1.7950)	Prec@1 52.344 (52.804)	Prec@5 81.250 (82.134)
Epoch: [81][7700/14090]	Time 0.723 (0.751)	Data 0.001 (0.002)	Loss 1.6238 (1.7950)	Prec@1 52.344 (52.803)	Prec@5 82.031 (82.134)
Epoch: [81][7710/14090]	Time 0.776 (0.751)	Data 0.002 (0.002)	Loss 1.8771 (1.7951)	Prec@1 50.781 (52.799)	Prec@5 78.125 (82.131)
Epoch: [81][7720/14090]	Time 0.738 (0.751)	Data 0.001 (0.002)	Loss 1.8573 (1.7951)	Prec@1 50.000 (52.798)	Prec@5 78.906 (82.131)
Epoch: [81][7730/14090]	Time 0.784 (0.751)	Data 0.001 (0.002)	Loss 1.9485 (1.7952)	Prec@1 48.438 (52.798)	Prec@5 82.031 (82.133)
Epoch: [81][7740/14090]	Time 0.768 (0.751)	Data 0.001 (0.002)	Loss 1.9875 (1.7953)	Prec@1 45.312 (52.797)	Prec@5 77.344 (82.132)
Epoch: [81][7750/14090]	Time 0.748 (0.751)	Data 0.001 (0.002)	Loss 1.6789 (1.7952)	Prec@1 55.469 (52.800)	Prec@5 84.375 (82.134)
Epoch: [81][7760/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 1.7058 (1.7952)	Prec@1 52.344 (52.800)	Prec@5 83.594 (82.132)
Epoch: [81][7770/14090]	Time 0.758 (0.751)	Data 0.001 (0.002)	Loss 1.5932 (1.7952)	Prec@1 58.594 (52.800)	Prec@5 84.375 (82.133)
Epoch: [81][7780/14090]	Time 0.759 (0.751)	Data 0.002 (0.002)	Loss 1.8803 (1.7951)	Prec@1 48.438 (52.801)	Prec@5 82.031 (82.133)
Epoch: [81][7790/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 1.6735 (1.7953)	Prec@1 58.594 (52.799)	Prec@5 81.250 (82.130)
Epoch: [81][7800/14090]	Time 0.752 (0.751)	Data 0.001 (0.002)	Loss 1.8622 (1.7952)	Prec@1 47.656 (52.802)	Prec@5 80.469 (82.131)
Epoch: [81][7810/14090]	Time 0.745 (0.751)	Data 0.001 (0.002)	Loss 1.8407 (1.7952)	Prec@1 49.219 (52.802)	Prec@5 81.250 (82.132)
Epoch: [81][7820/14090]	Time 0.778 (0.751)	Data 0.001 (0.002)	Loss 1.5816 (1.7951)	Prec@1 61.719 (52.802)	Prec@5 85.156 (82.132)
Epoch: [81][7830/14090]	Time 0.735 (0.751)	Data 0.001 (0.002)	Loss 2.0208 (1.7952)	Prec@1 48.438 (52.801)	Prec@5 79.688 (82.131)
Epoch: [81][7840/14090]	Time 0.779 (0.751)	Data 0.001 (0.002)	Loss 1.8661 (1.7953)	Prec@1 46.875 (52.799)	Prec@5 82.031 (82.132)
Epoch: [81][7850/14090]	Time 0.736 (0.751)	Data 0.002 (0.002)	Loss 1.7840 (1.7952)	Prec@1 53.906 (52.800)	Prec@5 82.031 (82.132)
Epoch: [81][7860/14090]	Time 0.733 (0.751)	Data 0.001 (0.002)	Loss 1.9333 (1.7953)	Prec@1 50.781 (52.800)	Prec@5 80.469 (82.131)
Epoch: [81][7870/14090]	Time 0.757 (0.751)	Data 0.001 (0.002)	Loss 1.9794 (1.7953)	Prec@1 50.781 (52.801)	Prec@5 78.125 (82.131)
Epoch: [81][7880/14090]	Time 0.762 (0.751)	Data 0.001 (0.002)	Loss 2.1467 (1.7952)	Prec@1 46.094 (52.801)	Prec@5 69.531 (82.131)
Epoch: [81][7890/14090]	Time 0.731 (0.751)	Data 0.001 (0.002)	Loss 1.9007 (1.7953)	Prec@1 51.562 (52.802)	Prec@5 80.469 (82.130)
Epoch: [81][7900/14090]	Time 0.753 (0.751)	Data 0.001 (0.002)	Loss 1.7858 (1.7954)	Prec@1 50.781 (52.800)	Prec@5 82.031 (82.128)
Epoch: [81][7910/14090]	Time 0.757 (0.751)	Data 0.001 (0.002)	Loss 1.8322 (1.7954)	Prec@1 54.688 (52.798)	Prec@5 78.125 (82.127)
Epoch: [81][7920/14090]	Time 0.733 (0.751)	Data 0.002 (0.002)	Loss 1.7741 (1.7954)	Prec@1 53.125 (52.800)	Prec@5 79.688 (82.127)
Epoch: [81][7930/14090]	Time 0.774 (0.751)	Data 0.001 (0.002)	Loss 1.9294 (1.7954)	Prec@1 47.656 (52.799)	Prec@5 81.250 (82.127)
Epoch: [81][7940/14090]	Time 0.768 (0.751)	Data 0.001 (0.002)	Loss 1.5480 (1.7954)	Prec@1 54.688 (52.797)	Prec@5 86.719 (82.126)
Epoch: [81][7950/14090]	Time 0.742 (0.751)	Data 0.001 (0.002)	Loss 1.8120 (1.7955)	Prec@1 49.219 (52.796)	Prec@5 80.469 (82.125)
Epoch: [81][7960/14090]	Time 0.742 (0.751)	Data 0.001 (0.002)	Loss 1.8806 (1.7955)	Prec@1 54.688 (52.799)	Prec@5 76.562 (82.127)
Epoch: [81][7970/14090]	Time 0.735 (0.751)	Data 0.001 (0.002)	Loss 1.6052 (1.7954)	Prec@1 54.688 (52.799)	Prec@5 84.375 (82.128)
Epoch: [81][7980/14090]	Time 0.740 (0.751)	Data 0.001 (0.002)	Loss 2.2378 (1.7956)	Prec@1 44.531 (52.796)	Prec@5 74.219 (82.124)
Epoch: [81][7990/14090]	Time 0.751 (0.751)	Data 0.002 (0.002)	Loss 1.7574 (1.7956)	Prec@1 51.562 (52.796)	Prec@5 81.250 (82.125)
Epoch: [81][8000/14090]	Time 0.734 (0.751)	Data 0.001 (0.002)	Loss 1.7247 (1.7956)	Prec@1 53.125 (52.796)	Prec@5 80.469 (82.125)
Epoch: [81][8010/14090]	Time 0.749 (0.751)	Data 0.001 (0.002)	Loss 1.9618 (1.7956)	Prec@1 50.781 (52.796)	Prec@5 78.906 (82.123)
Epoch: [81][8020/14090]	Time 0.780 (0.751)	Data 0.001 (0.002)	Loss 1.9586 (1.7956)	Prec@1 50.000 (52.796)	Prec@5 75.000 (82.120)
Epoch: [81][8030/14090]	Time 0.737 (0.751)	Data 0.001 (0.002)	Loss 1.3975 (1.7956)	Prec@1 60.938 (52.799)	Prec@5 86.719 (82.120)
Epoch: [81][8040/14090]	Time 0.773 (0.751)	Data 0.001 (0.002)	Loss 1.7265 (1.7955)	Prec@1 53.125 (52.803)	Prec@5 85.938 (82.122)
Epoch: [81][8050/14090]	Time 0.756 (0.751)	Data 0.001 (0.002)	Loss 1.6001 (1.7955)	Prec@1 59.375 (52.802)	Prec@5 82.812 (82.120)
Epoch: [81][8060/14090]	Time 0.762 (0.751)	Data 0.002 (0.002)	Loss 2.1113 (1.7954)	Prec@1 46.094 (52.806)	Prec@5 74.219 (82.121)
Epoch: [81][8070/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 1.7199 (1.7954)	Prec@1 55.469 (52.806)	Prec@5 85.156 (82.124)
Epoch: [81][8080/14090]	Time 0.765 (0.751)	Data 0.001 (0.002)	Loss 1.7322 (1.7954)	Prec@1 59.375 (52.805)	Prec@5 82.031 (82.123)
Epoch: [81][8090/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 1.8211 (1.7954)	Prec@1 53.125 (52.806)	Prec@5 78.125 (82.123)
Epoch: [81][8100/14090]	Time 0.748 (0.751)	Data 0.001 (0.002)	Loss 2.0971 (1.7955)	Prec@1 45.312 (52.803)	Prec@5 79.688 (82.123)
Epoch: [81][8110/14090]	Time 0.735 (0.751)	Data 0.001 (0.002)	Loss 1.7365 (1.7955)	Prec@1 52.344 (52.803)	Prec@5 85.156 (82.124)
Epoch: [81][8120/14090]	Time 0.733 (0.751)	Data 0.001 (0.002)	Loss 1.5741 (1.7956)	Prec@1 57.812 (52.803)	Prec@5 85.938 (82.125)
Epoch: [81][8130/14090]	Time 0.743 (0.751)	Data 0.002 (0.002)	Loss 1.8206 (1.7956)	Prec@1 54.688 (52.804)	Prec@5 78.906 (82.123)
Epoch: [81][8140/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 2.0698 (1.7956)	Prec@1 53.125 (52.807)	Prec@5 72.656 (82.123)
Epoch: [81][8150/14090]	Time 0.774 (0.751)	Data 0.001 (0.002)	Loss 1.5983 (1.7954)	Prec@1 56.250 (52.811)	Prec@5 83.594 (82.125)
Epoch: [81][8160/14090]	Time 0.774 (0.751)	Data 0.001 (0.002)	Loss 2.0731 (1.7954)	Prec@1 46.875 (52.811)	Prec@5 77.344 (82.126)
Epoch: [81][8170/14090]	Time 0.764 (0.751)	Data 0.001 (0.002)	Loss 1.9936 (1.7954)	Prec@1 43.750 (52.809)	Prec@5 77.344 (82.126)
Epoch: [81][8180/14090]	Time 0.740 (0.751)	Data 0.001 (0.002)	Loss 1.7926 (1.7954)	Prec@1 54.688 (52.808)	Prec@5 81.250 (82.126)
Epoch: [81][8190/14090]	Time 0.764 (0.751)	Data 0.001 (0.002)	Loss 1.8708 (1.7954)	Prec@1 50.000 (52.808)	Prec@5 78.125 (82.126)
Epoch: [81][8200/14090]	Time 0.725 (0.751)	Data 0.002 (0.002)	Loss 1.8484 (1.7954)	Prec@1 47.656 (52.807)	Prec@5 83.594 (82.125)
Epoch: [81][8210/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 1.6570 (1.7953)	Prec@1 59.375 (52.808)	Prec@5 85.156 (82.127)
Epoch: [81][8220/14090]	Time 0.745 (0.751)	Data 0.001 (0.002)	Loss 1.7310 (1.7953)	Prec@1 56.250 (52.809)	Prec@5 79.688 (82.126)
Epoch: [81][8230/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 1.8011 (1.7954)	Prec@1 52.344 (52.805)	Prec@5 77.344 (82.125)
Epoch: [81][8240/14090]	Time 0.743 (0.751)	Data 0.001 (0.002)	Loss 1.9274 (1.7955)	Prec@1 51.562 (52.804)	Prec@5 81.250 (82.124)
Epoch: [81][8250/14090]	Time 0.727 (0.751)	Data 0.001 (0.002)	Loss 2.0667 (1.7957)	Prec@1 48.438 (52.803)	Prec@5 75.000 (82.121)
Epoch: [81][8260/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 1.5382 (1.7956)	Prec@1 59.375 (52.803)	Prec@5 87.500 (82.121)
Epoch: [81][8270/14090]	Time 0.733 (0.751)	Data 0.002 (0.002)	Loss 1.7654 (1.7956)	Prec@1 48.438 (52.803)	Prec@5 80.469 (82.121)
Epoch: [81][8280/14090]	Time 0.779 (0.751)	Data 0.001 (0.002)	Loss 1.7460 (1.7957)	Prec@1 54.688 (52.803)	Prec@5 81.250 (82.119)
Epoch: [81][8290/14090]	Time 0.749 (0.751)	Data 0.001 (0.002)	Loss 1.7224 (1.7957)	Prec@1 57.031 (52.802)	Prec@5 82.812 (82.117)
Epoch: [81][8300/14090]	Time 0.745 (0.751)	Data 0.001 (0.002)	Loss 1.7813 (1.7958)	Prec@1 50.781 (52.801)	Prec@5 77.344 (82.115)
Epoch: [81][8310/14090]	Time 0.776 (0.751)	Data 0.001 (0.002)	Loss 1.9727 (1.7958)	Prec@1 43.750 (52.796)	Prec@5 77.344 (82.115)
Epoch: [81][8320/14090]	Time 0.758 (0.751)	Data 0.001 (0.002)	Loss 1.6014 (1.7959)	Prec@1 60.156 (52.797)	Prec@5 83.594 (82.113)
Epoch: [81][8330/14090]	Time 0.751 (0.751)	Data 0.001 (0.002)	Loss 1.8493 (1.7959)	Prec@1 50.781 (52.797)	Prec@5 83.594 (82.114)
Epoch: [81][8340/14090]	Time 0.728 (0.751)	Data 0.002 (0.002)	Loss 1.8337 (1.7959)	Prec@1 54.688 (52.796)	Prec@5 83.594 (82.113)
Epoch: [81][8350/14090]	Time 0.719 (0.751)	Data 0.001 (0.002)	Loss 1.9222 (1.7960)	Prec@1 49.219 (52.796)	Prec@5 78.906 (82.113)
Epoch: [81][8360/14090]	Time 0.756 (0.751)	Data 0.001 (0.002)	Loss 1.6181 (1.7961)	Prec@1 54.688 (52.795)	Prec@5 85.938 (82.113)
Epoch: [81][8370/14090]	Time 0.759 (0.751)	Data 0.001 (0.002)	Loss 1.7818 (1.7961)	Prec@1 54.688 (52.794)	Prec@5 85.156 (82.112)
Epoch: [81][8380/14090]	Time 0.737 (0.751)	Data 0.001 (0.002)	Loss 1.7869 (1.7961)	Prec@1 54.688 (52.792)	Prec@5 85.156 (82.113)
Epoch: [81][8390/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 1.9692 (1.7961)	Prec@1 50.781 (52.793)	Prec@5 78.906 (82.114)
Epoch: [81][8400/14090]	Time 0.744 (0.751)	Data 0.001 (0.002)	Loss 1.9215 (1.7962)	Prec@1 56.250 (52.792)	Prec@5 82.812 (82.113)
Epoch: [81][8410/14090]	Time 0.781 (0.751)	Data 0.002 (0.002)	Loss 2.0931 (1.7962)	Prec@1 40.625 (52.792)	Prec@5 78.125 (82.113)
Epoch: [81][8420/14090]	Time 0.732 (0.751)	Data 0.001 (0.002)	Loss 1.7468 (1.7961)	Prec@1 52.344 (52.792)	Prec@5 81.250 (82.113)
Epoch: [81][8430/14090]	Time 0.742 (0.751)	Data 0.001 (0.002)	Loss 1.9492 (1.7961)	Prec@1 53.125 (52.791)	Prec@5 80.469 (82.112)
Epoch: [81][8440/14090]	Time 0.767 (0.751)	Data 0.001 (0.002)	Loss 1.6831 (1.7962)	Prec@1 49.219 (52.787)	Prec@5 86.719 (82.111)
Epoch: [81][8450/14090]	Time 0.731 (0.751)	Data 0.001 (0.002)	Loss 1.5287 (1.7961)	Prec@1 58.594 (52.789)	Prec@5 86.719 (82.112)
Epoch: [81][8460/14090]	Time 0.730 (0.751)	Data 0.001 (0.002)	Loss 1.6150 (1.7961)	Prec@1 52.344 (52.789)	Prec@5 80.469 (82.112)
Epoch: [81][8470/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 1.8263 (1.7961)	Prec@1 52.344 (52.789)	Prec@5 81.250 (82.111)
Epoch: [81][8480/14090]	Time 0.785 (0.751)	Data 0.002 (0.002)	Loss 1.8909 (1.7962)	Prec@1 48.438 (52.788)	Prec@5 79.688 (82.110)
Epoch: [81][8490/14090]	Time 0.749 (0.751)	Data 0.001 (0.002)	Loss 1.8309 (1.7963)	Prec@1 48.438 (52.785)	Prec@5 82.812 (82.108)
Epoch: [81][8500/14090]	Time 0.746 (0.751)	Data 0.001 (0.002)	Loss 1.6235 (1.7962)	Prec@1 58.594 (52.788)	Prec@5 84.375 (82.110)
Epoch: [81][8510/14090]	Time 0.750 (0.751)	Data 0.001 (0.002)	Loss 1.6550 (1.7962)	Prec@1 58.594 (52.789)	Prec@5 85.156 (82.110)
Epoch: [81][8520/14090]	Time 0.726 (0.751)	Data 0.001 (0.002)	Loss 1.8752 (1.7962)	Prec@1 48.438 (52.790)	Prec@5 80.469 (82.109)
Epoch: [81][8530/14090]	Time 0.731 (0.751)	Data 0.001 (0.002)	Loss 2.1172 (1.7963)	Prec@1 52.344 (52.788)	Prec@5 74.219 (82.107)
Epoch: [81][8540/14090]	Time 0.744 (0.751)	Data 0.001 (0.002)	Loss 1.6226 (1.7964)	Prec@1 50.781 (52.786)	Prec@5 82.031 (82.105)
Epoch: [81][8550/14090]	Time 0.757 (0.751)	Data 0.002 (0.002)	Loss 2.0790 (1.7965)	Prec@1 47.656 (52.784)	Prec@5 79.688 (82.103)
Epoch: [81][8560/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 1.8013 (1.7965)	Prec@1 51.562 (52.785)	Prec@5 82.812 (82.102)
Epoch: [81][8570/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 1.6690 (1.7964)	Prec@1 52.344 (52.786)	Prec@5 83.594 (82.102)
Epoch: [81][8580/14090]	Time 0.756 (0.751)	Data 0.002 (0.002)	Loss 1.7407 (1.7963)	Prec@1 51.562 (52.787)	Prec@5 81.250 (82.105)
Epoch: [81][8590/14090]	Time 0.758 (0.751)	Data 0.001 (0.002)	Loss 2.0426 (1.7964)	Prec@1 42.188 (52.785)	Prec@5 78.906 (82.104)
Epoch: [81][8600/14090]	Time 0.762 (0.751)	Data 0.001 (0.002)	Loss 1.7752 (1.7964)	Prec@1 52.344 (52.785)	Prec@5 85.156 (82.103)
Epoch: [81][8610/14090]	Time 0.761 (0.751)	Data 0.001 (0.002)	Loss 1.9121 (1.7964)	Prec@1 53.125 (52.784)	Prec@5 77.344 (82.101)
Epoch: [81][8620/14090]	Time 0.753 (0.751)	Data 0.002 (0.002)	Loss 1.9327 (1.7965)	Prec@1 47.656 (52.781)	Prec@5 81.250 (82.099)
Epoch: [81][8630/14090]	Time 0.764 (0.751)	Data 0.001 (0.002)	Loss 1.7399 (1.7965)	Prec@1 52.344 (52.782)	Prec@5 80.469 (82.100)
Epoch: [81][8640/14090]	Time 0.749 (0.751)	Data 0.001 (0.002)	Loss 2.1331 (1.7966)	Prec@1 47.656 (52.780)	Prec@5 78.906 (82.100)
Epoch: [81][8650/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 1.9881 (1.7965)	Prec@1 53.906 (52.783)	Prec@5 78.125 (82.101)
Epoch: [81][8660/14090]	Time 0.734 (0.751)	Data 0.001 (0.002)	Loss 1.6736 (1.7966)	Prec@1 58.594 (52.781)	Prec@5 82.031 (82.100)
Epoch: [81][8670/14090]	Time 0.760 (0.751)	Data 0.001 (0.002)	Loss 1.7776 (1.7966)	Prec@1 59.375 (52.782)	Prec@5 79.688 (82.098)
Epoch: [81][8680/14090]	Time 0.766 (0.751)	Data 0.001 (0.002)	Loss 2.0648 (1.7965)	Prec@1 49.219 (52.783)	Prec@5 79.688 (82.099)
Epoch: [81][8690/14090]	Time 0.731 (0.751)	Data 0.002 (0.001)	Loss 1.8635 (1.7965)	Prec@1 51.562 (52.783)	Prec@5 78.906 (82.099)
Epoch: [81][8700/14090]	Time 0.723 (0.751)	Data 0.001 (0.001)	Loss 1.7703 (1.7966)	Prec@1 50.781 (52.782)	Prec@5 85.156 (82.100)
Epoch: [81][8710/14090]	Time 0.759 (0.751)	Data 0.001 (0.001)	Loss 1.7705 (1.7965)	Prec@1 45.312 (52.782)	Prec@5 85.156 (82.103)
Epoch: [81][8720/14090]	Time 0.741 (0.751)	Data 0.001 (0.001)	Loss 1.8186 (1.7964)	Prec@1 50.000 (52.784)	Prec@5 82.031 (82.105)
Epoch: [81][8730/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 1.7503 (1.7964)	Prec@1 57.031 (52.782)	Prec@5 81.250 (82.105)
Epoch: [81][8740/14090]	Time 0.757 (0.751)	Data 0.001 (0.001)	Loss 2.0129 (1.7965)	Prec@1 50.000 (52.780)	Prec@5 76.562 (82.103)
Epoch: [81][8750/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 1.7295 (1.7966)	Prec@1 54.688 (52.779)	Prec@5 83.594 (82.101)
Epoch: [81][8760/14090]	Time 0.749 (0.751)	Data 0.002 (0.001)	Loss 1.8049 (1.7965)	Prec@1 52.344 (52.782)	Prec@5 80.469 (82.101)
Epoch: [81][8770/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 1.9955 (1.7966)	Prec@1 48.438 (52.780)	Prec@5 73.438 (82.099)
Epoch: [81][8780/14090]	Time 0.757 (0.751)	Data 0.001 (0.001)	Loss 1.8225 (1.7966)	Prec@1 52.344 (52.778)	Prec@5 81.250 (82.098)
Epoch: [81][8790/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 1.9638 (1.7966)	Prec@1 53.906 (52.776)	Prec@5 78.125 (82.099)
Epoch: [81][8800/14090]	Time 0.737 (0.751)	Data 0.001 (0.001)	Loss 1.5975 (1.7967)	Prec@1 53.906 (52.775)	Prec@5 85.156 (82.099)
Epoch: [81][8810/14090]	Time 0.772 (0.751)	Data 0.001 (0.001)	Loss 1.7074 (1.7966)	Prec@1 55.469 (52.776)	Prec@5 83.594 (82.099)
Epoch: [81][8820/14090]	Time 0.731 (0.751)	Data 0.001 (0.001)	Loss 1.4878 (1.7966)	Prec@1 55.469 (52.773)	Prec@5 89.844 (82.099)
Epoch: [81][8830/14090]	Time 0.778 (0.751)	Data 0.002 (0.001)	Loss 2.1108 (1.7967)	Prec@1 49.219 (52.771)	Prec@5 77.344 (82.097)
Epoch: [81][8840/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 1.7177 (1.7968)	Prec@1 60.938 (52.770)	Prec@5 82.812 (82.096)
Epoch: [81][8850/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 1.6721 (1.7968)	Prec@1 53.906 (52.768)	Prec@5 78.906 (82.095)
Epoch: [81][8860/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 1.9269 (1.7969)	Prec@1 49.219 (52.765)	Prec@5 82.031 (82.094)
Epoch: [81][8870/14090]	Time 0.774 (0.751)	Data 0.001 (0.001)	Loss 1.8150 (1.7968)	Prec@1 54.688 (52.769)	Prec@5 80.469 (82.094)
Epoch: [81][8880/14090]	Time 0.740 (0.751)	Data 0.001 (0.001)	Loss 1.6997 (1.7968)	Prec@1 54.688 (52.769)	Prec@5 85.156 (82.095)
Epoch: [81][8890/14090]	Time 0.742 (0.751)	Data 0.001 (0.001)	Loss 2.0786 (1.7968)	Prec@1 48.438 (52.768)	Prec@5 76.562 (82.096)
Epoch: [81][8900/14090]	Time 0.747 (0.751)	Data 0.002 (0.001)	Loss 1.8342 (1.7969)	Prec@1 52.344 (52.767)	Prec@5 81.250 (82.093)
Epoch: [81][8910/14090]	Time 0.759 (0.751)	Data 0.001 (0.001)	Loss 1.9254 (1.7970)	Prec@1 54.688 (52.768)	Prec@5 80.469 (82.092)
Epoch: [81][8920/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 1.6970 (1.7969)	Prec@1 50.781 (52.770)	Prec@5 82.812 (82.093)
Epoch: [81][8930/14090]	Time 0.788 (0.751)	Data 0.001 (0.001)	Loss 1.9395 (1.7969)	Prec@1 56.250 (52.770)	Prec@5 79.688 (82.095)
Epoch: [81][8940/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 1.8424 (1.7969)	Prec@1 50.781 (52.770)	Prec@5 82.031 (82.093)
Epoch: [81][8950/14090]	Time 0.725 (0.751)	Data 0.001 (0.001)	Loss 1.9579 (1.7969)	Prec@1 51.562 (52.771)	Prec@5 75.781 (82.093)
Epoch: [81][8960/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 1.9846 (1.7969)	Prec@1 50.781 (52.771)	Prec@5 78.906 (82.093)
Epoch: [81][8970/14090]	Time 0.751 (0.751)	Data 0.002 (0.001)	Loss 1.9220 (1.7969)	Prec@1 53.906 (52.771)	Prec@5 80.469 (82.092)
Epoch: [81][8980/14090]	Time 0.743 (0.751)	Data 0.001 (0.001)	Loss 1.7707 (1.7969)	Prec@1 55.469 (52.771)	Prec@5 80.469 (82.092)
Epoch: [81][8990/14090]	Time 0.767 (0.751)	Data 0.001 (0.001)	Loss 1.7224 (1.7970)	Prec@1 52.344 (52.770)	Prec@5 82.812 (82.092)
Epoch: [81][9000/14090]	Time 0.734 (0.751)	Data 0.001 (0.001)	Loss 1.6936 (1.7970)	Prec@1 51.562 (52.767)	Prec@5 85.156 (82.091)
Epoch: [81][9010/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 1.8128 (1.7971)	Prec@1 49.219 (52.765)	Prec@5 83.594 (82.091)
Epoch: [81][9020/14090]	Time 0.729 (0.751)	Data 0.001 (0.001)	Loss 1.7761 (1.7971)	Prec@1 53.906 (52.765)	Prec@5 85.156 (82.092)
Epoch: [81][9030/14090]	Time 0.725 (0.751)	Data 0.001 (0.001)	Loss 1.7503 (1.7970)	Prec@1 58.594 (52.766)	Prec@5 82.812 (82.092)
Epoch: [81][9040/14090]	Time 0.751 (0.751)	Data 0.003 (0.001)	Loss 1.6250 (1.7971)	Prec@1 58.594 (52.766)	Prec@5 82.812 (82.091)
Epoch: [81][9050/14090]	Time 0.757 (0.751)	Data 0.001 (0.001)	Loss 1.8146 (1.7970)	Prec@1 50.781 (52.766)	Prec@5 83.594 (82.093)
Epoch: [81][9060/14090]	Time 0.742 (0.751)	Data 0.001 (0.001)	Loss 1.8069 (1.7970)	Prec@1 55.469 (52.764)	Prec@5 81.250 (82.093)
Epoch: [81][9070/14090]	Time 0.776 (0.751)	Data 0.001 (0.001)	Loss 1.5872 (1.7971)	Prec@1 56.250 (52.760)	Prec@5 85.938 (82.091)
Epoch: [81][9080/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 1.6184 (1.7971)	Prec@1 60.938 (52.762)	Prec@5 83.594 (82.091)
Epoch: [81][9090/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 1.8640 (1.7971)	Prec@1 49.219 (52.759)	Prec@5 82.031 (82.092)
Epoch: [81][9100/14090]	Time 0.734 (0.751)	Data 0.001 (0.001)	Loss 1.9321 (1.7972)	Prec@1 52.344 (52.758)	Prec@5 84.375 (82.092)
Epoch: [81][9110/14090]	Time 0.752 (0.751)	Data 0.006 (0.001)	Loss 1.5273 (1.7972)	Prec@1 60.938 (52.760)	Prec@5 85.156 (82.092)
Epoch: [81][9120/14090]	Time 0.731 (0.751)	Data 0.001 (0.001)	Loss 1.6908 (1.7972)	Prec@1 60.156 (52.760)	Prec@5 84.375 (82.093)
Epoch: [81][9130/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 1.8261 (1.7972)	Prec@1 50.781 (52.758)	Prec@5 78.906 (82.092)
Epoch: [81][9140/14090]	Time 0.733 (0.751)	Data 0.001 (0.001)	Loss 1.8231 (1.7971)	Prec@1 49.219 (52.759)	Prec@5 83.594 (82.095)
Epoch: [81][9150/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 1.9125 (1.7971)	Prec@1 52.344 (52.758)	Prec@5 79.688 (82.096)
Epoch: [81][9160/14090]	Time 0.742 (0.751)	Data 0.001 (0.001)	Loss 1.7392 (1.7970)	Prec@1 56.250 (52.761)	Prec@5 82.812 (82.098)
Epoch: [81][9170/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 1.9565 (1.7971)	Prec@1 43.750 (52.758)	Prec@5 81.250 (82.098)
Epoch: [81][9180/14090]	Time 0.738 (0.751)	Data 0.002 (0.001)	Loss 1.6731 (1.7972)	Prec@1 50.000 (52.756)	Prec@5 87.500 (82.097)
Epoch: [81][9190/14090]	Time 0.767 (0.751)	Data 0.001 (0.001)	Loss 1.8850 (1.7971)	Prec@1 48.438 (52.758)	Prec@5 82.812 (82.099)
Epoch: [81][9200/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 1.8557 (1.7971)	Prec@1 51.562 (52.758)	Prec@5 80.469 (82.098)
Epoch: [81][9210/14090]	Time 0.772 (0.751)	Data 0.001 (0.001)	Loss 1.7646 (1.7972)	Prec@1 53.906 (52.756)	Prec@5 83.594 (82.096)
Epoch: [81][9220/14090]	Time 0.723 (0.751)	Data 0.001 (0.001)	Loss 1.7927 (1.7972)	Prec@1 53.125 (52.756)	Prec@5 83.594 (82.096)
Epoch: [81][9230/14090]	Time 0.740 (0.751)	Data 0.001 (0.001)	Loss 1.5793 (1.7972)	Prec@1 59.375 (52.756)	Prec@5 84.375 (82.095)
Epoch: [81][9240/14090]	Time 0.767 (0.751)	Data 0.001 (0.001)	Loss 2.0057 (1.7971)	Prec@1 51.562 (52.759)	Prec@5 78.906 (82.096)
Epoch: [81][9250/14090]	Time 0.759 (0.751)	Data 0.002 (0.001)	Loss 1.8415 (1.7972)	Prec@1 52.344 (52.759)	Prec@5 78.906 (82.096)
Epoch: [81][9260/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 1.8875 (1.7973)	Prec@1 46.875 (52.755)	Prec@5 80.469 (82.094)
Epoch: [81][9270/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 1.9268 (1.7972)	Prec@1 54.688 (52.756)	Prec@5 80.469 (82.095)
Epoch: [81][9280/14090]	Time 0.761 (0.751)	Data 0.001 (0.001)	Loss 1.8182 (1.7972)	Prec@1 57.031 (52.757)	Prec@5 78.125 (82.095)
Epoch: [81][9290/14090]	Time 0.730 (0.751)	Data 0.001 (0.001)	Loss 1.8547 (1.7973)	Prec@1 50.781 (52.755)	Prec@5 78.906 (82.094)
Epoch: [81][9300/14090]	Time 0.741 (0.751)	Data 0.001 (0.001)	Loss 1.9623 (1.7972)	Prec@1 45.312 (52.759)	Prec@5 81.250 (82.096)
Epoch: [81][9310/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 1.6915 (1.7972)	Prec@1 53.125 (52.757)	Prec@5 85.938 (82.095)
Epoch: [81][9320/14090]	Time 0.762 (0.751)	Data 0.003 (0.001)	Loss 1.8320 (1.7973)	Prec@1 53.906 (52.757)	Prec@5 84.375 (82.093)
Epoch: [81][9330/14090]	Time 0.729 (0.751)	Data 0.001 (0.001)	Loss 1.6625 (1.7973)	Prec@1 56.250 (52.755)	Prec@5 84.375 (82.093)
Epoch: [81][9340/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 1.8772 (1.7975)	Prec@1 50.781 (52.750)	Prec@5 81.250 (82.090)
Epoch: [81][9350/14090]	Time 0.779 (0.751)	Data 0.001 (0.001)	Loss 2.1070 (1.7975)	Prec@1 43.750 (52.748)	Prec@5 75.000 (82.090)
Epoch: [81][9360/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 1.7625 (1.7975)	Prec@1 51.562 (52.748)	Prec@5 86.719 (82.091)
Epoch: [81][9370/14090]	Time 0.773 (0.751)	Data 0.001 (0.001)	Loss 1.5953 (1.7975)	Prec@1 55.469 (52.745)	Prec@5 84.375 (82.090)
Epoch: [81][9380/14090]	Time 0.742 (0.751)	Data 0.001 (0.001)	Loss 1.8825 (1.7975)	Prec@1 56.250 (52.746)	Prec@5 84.375 (82.090)
Epoch: [81][9390/14090]	Time 0.731 (0.751)	Data 0.002 (0.001)	Loss 1.6946 (1.7975)	Prec@1 53.125 (52.747)	Prec@5 82.812 (82.089)
Epoch: [81][9400/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 1.9697 (1.7975)	Prec@1 47.656 (52.747)	Prec@5 79.688 (82.088)
Epoch: [81][9410/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 1.6878 (1.7976)	Prec@1 53.906 (52.743)	Prec@5 86.719 (82.087)
Epoch: [81][9420/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 1.9195 (1.7976)	Prec@1 52.344 (52.743)	Prec@5 79.688 (82.087)
Epoch: [81][9430/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 1.6740 (1.7976)	Prec@1 49.219 (52.740)	Prec@5 85.938 (82.088)
Epoch: [81][9440/14090]	Time 0.726 (0.751)	Data 0.001 (0.001)	Loss 1.8492 (1.7977)	Prec@1 52.344 (52.739)	Prec@5 84.375 (82.086)
Epoch: [81][9450/14090]	Time 0.743 (0.751)	Data 0.001 (0.001)	Loss 1.8519 (1.7977)	Prec@1 47.656 (52.737)	Prec@5 86.719 (82.085)
Epoch: [81][9460/14090]	Time 0.729 (0.751)	Data 0.002 (0.001)	Loss 1.6530 (1.7977)	Prec@1 60.156 (52.739)	Prec@5 85.938 (82.087)
Epoch: [81][9470/14090]	Time 0.734 (0.751)	Data 0.001 (0.001)	Loss 1.6272 (1.7976)	Prec@1 60.156 (52.740)	Prec@5 87.500 (82.088)
Epoch: [81][9480/14090]	Time 0.722 (0.751)	Data 0.001 (0.001)	Loss 1.7395 (1.7977)	Prec@1 47.656 (52.737)	Prec@5 83.594 (82.085)
Epoch: [81][9490/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 1.6318 (1.7977)	Prec@1 59.375 (52.738)	Prec@5 82.031 (82.085)
Epoch: [81][9500/14090]	Time 0.769 (0.751)	Data 0.001 (0.001)	Loss 1.9296 (1.7977)	Prec@1 44.531 (52.738)	Prec@5 79.688 (82.083)
Epoch: [81][9510/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 1.6748 (1.7978)	Prec@1 56.250 (52.734)	Prec@5 81.250 (82.082)
Epoch: [81][9520/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 2.0170 (1.7977)	Prec@1 42.969 (52.737)	Prec@5 80.469 (82.082)
Epoch: [81][9530/14090]	Time 0.775 (0.751)	Data 0.002 (0.001)	Loss 1.6313 (1.7977)	Prec@1 57.812 (52.737)	Prec@5 82.812 (82.082)
Epoch: [81][9540/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 1.8206 (1.7977)	Prec@1 55.469 (52.737)	Prec@5 80.469 (82.081)
Epoch: [81][9550/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 1.7263 (1.7977)	Prec@1 53.906 (52.736)	Prec@5 82.812 (82.081)
Epoch: [81][9560/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 1.9262 (1.7979)	Prec@1 48.438 (52.734)	Prec@5 79.688 (82.079)
Epoch: [81][9570/14090]	Time 0.726 (0.751)	Data 0.001 (0.001)	Loss 1.8108 (1.7979)	Prec@1 53.125 (52.733)	Prec@5 82.031 (82.079)
Epoch: [81][9580/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 1.9102 (1.7979)	Prec@1 47.656 (52.734)	Prec@5 84.375 (82.079)
Epoch: [81][9590/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 1.5617 (1.7978)	Prec@1 63.281 (52.736)	Prec@5 85.938 (82.080)
Epoch: [81][9600/14090]	Time 0.734 (0.751)	Data 0.002 (0.001)	Loss 1.7137 (1.7979)	Prec@1 58.594 (52.735)	Prec@5 82.031 (82.079)
Epoch: [81][9610/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 1.4733 (1.7979)	Prec@1 62.500 (52.735)	Prec@5 88.281 (82.080)
Epoch: [81][9620/14090]	Time 0.729 (0.751)	Data 0.001 (0.001)	Loss 1.5910 (1.7979)	Prec@1 55.469 (52.735)	Prec@5 83.594 (82.079)
Epoch: [81][9630/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 1.8690 (1.7979)	Prec@1 51.562 (52.734)	Prec@5 76.562 (82.080)
Epoch: [81][9640/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 1.6647 (1.7978)	Prec@1 57.812 (52.735)	Prec@5 85.938 (82.079)
Epoch: [81][9650/14090]	Time 0.733 (0.751)	Data 0.001 (0.001)	Loss 2.0496 (1.7979)	Prec@1 47.656 (52.731)	Prec@5 79.688 (82.078)
Epoch: [81][9660/14090]	Time 0.777 (0.751)	Data 0.001 (0.001)	Loss 1.6907 (1.7980)	Prec@1 55.469 (52.731)	Prec@5 85.938 (82.078)
Epoch: [81][9670/14090]	Time 0.741 (0.751)	Data 0.002 (0.001)	Loss 1.7965 (1.7979)	Prec@1 51.562 (52.732)	Prec@5 81.250 (82.078)
Epoch: [81][9680/14090]	Time 0.775 (0.751)	Data 0.001 (0.001)	Loss 1.7327 (1.7980)	Prec@1 53.125 (52.732)	Prec@5 80.469 (82.076)
Epoch: [81][9690/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 2.1210 (1.7981)	Prec@1 43.750 (52.731)	Prec@5 72.656 (82.073)
Epoch: [81][9700/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 1.8479 (1.7981)	Prec@1 52.344 (52.732)	Prec@5 77.344 (82.071)
Epoch: [81][9710/14090]	Time 0.759 (0.751)	Data 0.001 (0.001)	Loss 1.5186 (1.7982)	Prec@1 60.156 (52.731)	Prec@5 84.375 (82.070)
Epoch: [81][9720/14090]	Time 0.729 (0.751)	Data 0.001 (0.001)	Loss 1.9206 (1.7982)	Prec@1 48.438 (52.729)	Prec@5 82.031 (82.069)
Epoch: [81][9730/14090]	Time 0.773 (0.751)	Data 0.001 (0.001)	Loss 2.0507 (1.7982)	Prec@1 47.656 (52.730)	Prec@5 79.688 (82.069)
Epoch: [81][9740/14090]	Time 0.788 (0.751)	Data 0.002 (0.001)	Loss 1.6915 (1.7982)	Prec@1 55.469 (52.729)	Prec@5 85.156 (82.069)
Epoch: [81][9750/14090]	Time 0.793 (0.751)	Data 0.001 (0.001)	Loss 1.7714 (1.7982)	Prec@1 53.125 (52.729)	Prec@5 84.375 (82.068)
Epoch: [81][9760/14090]	Time 0.742 (0.751)	Data 0.001 (0.001)	Loss 1.9976 (1.7982)	Prec@1 53.906 (52.730)	Prec@5 78.906 (82.068)
Epoch: [81][9770/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 1.8005 (1.7982)	Prec@1 52.344 (52.731)	Prec@5 84.375 (82.069)
Epoch: [81][9780/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 1.7113 (1.7982)	Prec@1 59.375 (52.732)	Prec@5 82.812 (82.069)
Epoch: [81][9790/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 1.6549 (1.7982)	Prec@1 52.344 (52.731)	Prec@5 82.031 (82.069)
Epoch: [81][9800/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 1.8974 (1.7983)	Prec@1 53.125 (52.729)	Prec@5 78.906 (82.070)
Epoch: [81][9810/14090]	Time 0.772 (0.751)	Data 0.002 (0.001)	Loss 1.8471 (1.7983)	Prec@1 50.781 (52.729)	Prec@5 81.250 (82.070)
Epoch: [81][9820/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 1.7196 (1.7983)	Prec@1 54.688 (52.728)	Prec@5 83.594 (82.071)
Epoch: [81][9830/14090]	Time 0.748 (0.751)	Data 0.002 (0.001)	Loss 1.6406 (1.7983)	Prec@1 57.812 (52.729)	Prec@5 86.719 (82.070)
Epoch: [81][9840/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 1.6486 (1.7983)	Prec@1 59.375 (52.731)	Prec@5 87.500 (82.069)
Epoch: [81][9850/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 2.0009 (1.7984)	Prec@1 53.906 (52.731)	Prec@5 76.562 (82.068)
Epoch: [81][9860/14090]	Time 0.727 (0.751)	Data 0.001 (0.001)	Loss 1.7524 (1.7984)	Prec@1 57.812 (52.734)	Prec@5 85.156 (82.068)
Epoch: [81][9870/14090]	Time 0.730 (0.751)	Data 0.001 (0.001)	Loss 2.1000 (1.7984)	Prec@1 48.438 (52.733)	Prec@5 77.344 (82.069)
Epoch: [81][9880/14090]	Time 0.755 (0.751)	Data 0.002 (0.001)	Loss 1.8717 (1.7984)	Prec@1 54.688 (52.734)	Prec@5 78.906 (82.067)
Epoch: [81][9890/14090]	Time 0.769 (0.751)	Data 0.001 (0.001)	Loss 1.9698 (1.7984)	Prec@1 46.875 (52.734)	Prec@5 82.812 (82.066)
Epoch: [81][9900/14090]	Time 0.748 (0.751)	Data 0.005 (0.001)	Loss 1.5659 (1.7984)	Prec@1 58.594 (52.735)	Prec@5 85.156 (82.065)
Epoch: [81][9910/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 1.8426 (1.7985)	Prec@1 54.688 (52.734)	Prec@5 81.250 (82.063)
Epoch: [81][9920/14090]	Time 0.762 (0.751)	Data 0.001 (0.001)	Loss 1.8142 (1.7986)	Prec@1 49.219 (52.732)	Prec@5 82.812 (82.063)
Epoch: [81][9930/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 1.7702 (1.7986)	Prec@1 57.031 (52.732)	Prec@5 82.031 (82.062)
Epoch: [81][9940/14090]	Time 0.739 (0.751)	Data 0.001 (0.001)	Loss 1.8838 (1.7986)	Prec@1 46.875 (52.731)	Prec@5 81.250 (82.062)
Epoch: [81][9950/14090]	Time 0.724 (0.751)	Data 0.002 (0.001)	Loss 2.0652 (1.7986)	Prec@1 50.000 (52.731)	Prec@5 79.688 (82.061)
Epoch: [81][9960/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 1.7302 (1.7987)	Prec@1 53.906 (52.729)	Prec@5 85.156 (82.060)
Epoch: [81][9970/14090]	Time 0.764 (0.751)	Data 0.001 (0.001)	Loss 1.9219 (1.7988)	Prec@1 52.344 (52.728)	Prec@5 78.125 (82.059)
Epoch: [81][9980/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 1.9647 (1.7987)	Prec@1 47.656 (52.729)	Prec@5 80.469 (82.061)
Epoch: [81][9990/14090]	Time 0.743 (0.751)	Data 0.001 (0.001)	Loss 1.9887 (1.7988)	Prec@1 42.969 (52.727)	Prec@5 77.344 (82.060)
Epoch: [81][10000/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 1.6529 (1.7987)	Prec@1 57.812 (52.728)	Prec@5 83.594 (82.060)
Epoch: [81][10010/14090]	Time 0.749 (0.751)	Data 0.002 (0.001)	Loss 1.8396 (1.7987)	Prec@1 55.469 (52.730)	Prec@5 80.469 (82.060)
Epoch: [81][10020/14090]	Time 0.737 (0.751)	Data 0.002 (0.001)	Loss 1.7448 (1.7988)	Prec@1 53.125 (52.728)	Prec@5 80.469 (82.058)
Epoch: [81][10030/14090]	Time 0.765 (0.751)	Data 0.001 (0.001)	Loss 2.0354 (1.7988)	Prec@1 45.312 (52.728)	Prec@5 78.906 (82.058)
Epoch: [81][10040/14090]	Time 0.743 (0.751)	Data 0.001 (0.001)	Loss 1.8709 (1.7988)	Prec@1 53.906 (52.727)	Prec@5 81.250 (82.058)
Epoch: [81][10050/14090]	Time 0.776 (0.751)	Data 0.001 (0.001)	Loss 1.6039 (1.7988)	Prec@1 54.688 (52.727)	Prec@5 85.156 (82.058)
Epoch: [81][10060/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 1.8534 (1.7989)	Prec@1 56.250 (52.726)	Prec@5 78.125 (82.056)
Epoch: [81][10070/14090]	Time 0.780 (0.751)	Data 0.001 (0.001)	Loss 1.9085 (1.7989)	Prec@1 55.469 (52.727)	Prec@5 78.906 (82.055)
Epoch: [81][10080/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 1.6914 (1.7988)	Prec@1 60.938 (52.729)	Prec@5 80.469 (82.056)
Epoch: [81][10090/14090]	Time 0.746 (0.751)	Data 0.002 (0.001)	Loss 1.7813 (1.7989)	Prec@1 48.438 (52.728)	Prec@5 83.594 (82.056)
Epoch: [81][10100/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 1.6751 (1.7989)	Prec@1 53.125 (52.728)	Prec@5 85.938 (82.056)
Epoch: [81][10110/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 2.0444 (1.7989)	Prec@1 47.656 (52.728)	Prec@5 75.781 (82.055)
Epoch: [81][10120/14090]	Time 0.743 (0.751)	Data 0.001 (0.001)	Loss 1.7055 (1.7989)	Prec@1 49.219 (52.726)	Prec@5 79.688 (82.054)
Epoch: [81][10130/14090]	Time 0.781 (0.751)	Data 0.001 (0.001)	Loss 1.8582 (1.7990)	Prec@1 53.906 (52.724)	Prec@5 80.469 (82.052)
Epoch: [81][10140/14090]	Time 0.764 (0.751)	Data 0.001 (0.001)	Loss 1.7463 (1.7990)	Prec@1 53.906 (52.724)	Prec@5 80.469 (82.051)
Epoch: [81][10150/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 1.7823 (1.7990)	Prec@1 53.125 (52.724)	Prec@5 78.906 (82.050)
Epoch: [81][10160/14090]	Time 0.781 (0.751)	Data 0.002 (0.001)	Loss 1.6790 (1.7990)	Prec@1 54.688 (52.723)	Prec@5 86.719 (82.051)
Epoch: [81][10170/14090]	Time 0.763 (0.751)	Data 0.001 (0.001)	Loss 1.4952 (1.7990)	Prec@1 60.938 (52.725)	Prec@5 86.719 (82.051)
Epoch: [81][10180/14090]	Time 0.761 (0.751)	Data 0.001 (0.001)	Loss 1.5634 (1.7990)	Prec@1 63.281 (52.726)	Prec@5 85.156 (82.051)
Epoch: [81][10190/14090]	Time 0.729 (0.751)	Data 0.001 (0.001)	Loss 1.8670 (1.7990)	Prec@1 47.656 (52.727)	Prec@5 83.594 (82.050)
Epoch: [81][10200/14090]	Time 0.770 (0.751)	Data 0.001 (0.001)	Loss 1.8842 (1.7990)	Prec@1 47.656 (52.727)	Prec@5 82.812 (82.051)
Epoch: [81][10210/14090]	Time 0.741 (0.751)	Data 0.001 (0.001)	Loss 1.5698 (1.7990)	Prec@1 53.906 (52.726)	Prec@5 85.156 (82.051)
Epoch: [81][10220/14090]	Time 0.728 (0.751)	Data 0.001 (0.001)	Loss 1.9230 (1.7990)	Prec@1 50.000 (52.727)	Prec@5 79.688 (82.052)
Epoch: [81][10230/14090]	Time 0.742 (0.751)	Data 0.002 (0.001)	Loss 1.6282 (1.7990)	Prec@1 56.250 (52.726)	Prec@5 83.594 (82.053)
Epoch: [81][10240/14090]	Time 0.777 (0.751)	Data 0.001 (0.001)	Loss 1.9117 (1.7990)	Prec@1 47.656 (52.726)	Prec@5 82.031 (82.053)
Epoch: [81][10250/14090]	Time 0.743 (0.751)	Data 0.001 (0.001)	Loss 1.7634 (1.7991)	Prec@1 55.469 (52.727)	Prec@5 80.469 (82.052)
Epoch: [81][10260/14090]	Time 0.723 (0.751)	Data 0.001 (0.001)	Loss 1.9359 (1.7991)	Prec@1 51.562 (52.727)	Prec@5 76.562 (82.052)
Epoch: [81][10270/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 1.7321 (1.7991)	Prec@1 57.031 (52.728)	Prec@5 85.156 (82.052)
Epoch: [81][10280/14090]	Time 0.774 (0.751)	Data 0.001 (0.001)	Loss 1.7618 (1.7990)	Prec@1 53.906 (52.729)	Prec@5 85.156 (82.053)
Epoch: [81][10290/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 1.6357 (1.7990)	Prec@1 59.375 (52.731)	Prec@5 82.031 (82.054)
Epoch: [81][10300/14090]	Time 0.749 (0.751)	Data 0.002 (0.001)	Loss 1.9933 (1.7990)	Prec@1 46.875 (52.733)	Prec@5 81.250 (82.054)
Epoch: [81][10310/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 1.9911 (1.7990)	Prec@1 50.000 (52.733)	Prec@5 80.469 (82.054)
Epoch: [81][10320/14090]	Time 0.775 (0.751)	Data 0.001 (0.001)	Loss 1.7016 (1.7989)	Prec@1 53.906 (52.734)	Prec@5 82.812 (82.054)
Epoch: [81][10330/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 2.0190 (1.7990)	Prec@1 51.562 (52.733)	Prec@5 77.344 (82.052)
Epoch: [81][10340/14090]	Time 0.737 (0.751)	Data 0.001 (0.001)	Loss 1.7596 (1.7989)	Prec@1 55.469 (52.734)	Prec@5 79.688 (82.053)
Epoch: [81][10350/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 1.7979 (1.7990)	Prec@1 52.344 (52.732)	Prec@5 82.812 (82.051)
Epoch: [81][10360/14090]	Time 0.757 (0.751)	Data 0.001 (0.001)	Loss 1.7323 (1.7991)	Prec@1 55.469 (52.732)	Prec@5 82.031 (82.049)
Epoch: [81][10370/14090]	Time 0.739 (0.751)	Data 0.002 (0.001)	Loss 1.6829 (1.7991)	Prec@1 54.688 (52.733)	Prec@5 82.031 (82.050)
Epoch: [81][10380/14090]	Time 0.766 (0.751)	Data 0.001 (0.001)	Loss 1.5974 (1.7991)	Prec@1 60.156 (52.733)	Prec@5 87.500 (82.049)
Epoch: [81][10390/14090]	Time 0.760 (0.751)	Data 0.001 (0.001)	Loss 2.0402 (1.7992)	Prec@1 45.312 (52.733)	Prec@5 79.688 (82.047)
Epoch: [81][10400/14090]	Time 0.791 (0.751)	Data 0.001 (0.001)	Loss 1.7348 (1.7992)	Prec@1 58.594 (52.733)	Prec@5 79.688 (82.048)
Epoch: [81][10410/14090]	Time 0.739 (0.751)	Data 0.001 (0.001)	Loss 1.9094 (1.7992)	Prec@1 51.562 (52.733)	Prec@5 80.469 (82.048)
Epoch: [81][10420/14090]	Time 0.760 (0.751)	Data 0.001 (0.001)	Loss 1.7309 (1.7992)	Prec@1 59.375 (52.735)	Prec@5 79.688 (82.049)
Epoch: [81][10430/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 1.8066 (1.7992)	Prec@1 50.781 (52.734)	Prec@5 82.812 (82.049)
Epoch: [81][10440/14090]	Time 0.757 (0.751)	Data 0.003 (0.001)	Loss 1.7571 (1.7991)	Prec@1 49.219 (52.733)	Prec@5 83.594 (82.049)
Epoch: [81][10450/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 1.8398 (1.7991)	Prec@1 50.781 (52.731)	Prec@5 80.469 (82.050)
Epoch: [81][10460/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 1.6704 (1.7991)	Prec@1 54.688 (52.730)	Prec@5 86.719 (82.051)
Epoch: [81][10470/14090]	Time 0.741 (0.751)	Data 0.001 (0.001)	Loss 1.7923 (1.7992)	Prec@1 53.125 (52.730)	Prec@5 78.125 (82.050)
Epoch: [81][10480/14090]	Time 0.767 (0.751)	Data 0.001 (0.001)	Loss 2.0129 (1.7992)	Prec@1 39.844 (52.729)	Prec@5 78.906 (82.049)
Epoch: [81][10490/14090]	Time 0.734 (0.751)	Data 0.001 (0.001)	Loss 1.6950 (1.7992)	Prec@1 59.375 (52.731)	Prec@5 83.594 (82.049)
Epoch: [81][10500/14090]	Time 0.742 (0.751)	Data 0.001 (0.001)	Loss 1.9766 (1.7992)	Prec@1 49.219 (52.729)	Prec@5 80.469 (82.049)
Epoch: [81][10510/14090]	Time 0.745 (0.751)	Data 0.002 (0.001)	Loss 2.2333 (1.7993)	Prec@1 40.625 (52.726)	Prec@5 75.781 (82.047)
Epoch: [81][10520/14090]	Time 0.782 (0.751)	Data 0.001 (0.001)	Loss 2.0206 (1.7994)	Prec@1 42.188 (52.726)	Prec@5 77.344 (82.046)
Epoch: [81][10530/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 1.6619 (1.7994)	Prec@1 53.125 (52.726)	Prec@5 83.594 (82.047)
Epoch: [81][10540/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 1.6878 (1.7994)	Prec@1 57.031 (52.726)	Prec@5 85.938 (82.047)
Epoch: [81][10550/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 1.8258 (1.7993)	Prec@1 53.906 (52.729)	Prec@5 82.031 (82.048)
Epoch: [81][10560/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 1.5611 (1.7994)	Prec@1 61.719 (52.728)	Prec@5 85.938 (82.048)
Epoch: [81][10570/14090]	Time 0.724 (0.751)	Data 0.001 (0.001)	Loss 1.7498 (1.7994)	Prec@1 53.906 (52.729)	Prec@5 85.156 (82.047)
Epoch: [81][10580/14090]	Time 0.754 (0.751)	Data 0.002 (0.001)	Loss 1.8726 (1.7994)	Prec@1 51.562 (52.727)	Prec@5 78.906 (82.047)
Epoch: [81][10590/14090]	Time 0.763 (0.751)	Data 0.001 (0.001)	Loss 1.7649 (1.7995)	Prec@1 55.469 (52.727)	Prec@5 80.469 (82.047)
Epoch: [81][10600/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 1.9333 (1.7994)	Prec@1 50.000 (52.727)	Prec@5 81.250 (82.048)
Epoch: [81][10610/14090]	Time 0.749 (0.751)	Data 0.002 (0.001)	Loss 1.8521 (1.7995)	Prec@1 51.562 (52.727)	Prec@5 77.344 (82.047)
Epoch: [81][10620/14090]	Time 0.766 (0.751)	Data 0.001 (0.001)	Loss 1.9803 (1.7996)	Prec@1 49.219 (52.724)	Prec@5 82.031 (82.045)
Epoch: [81][10630/14090]	Time 0.779 (0.751)	Data 0.001 (0.001)	Loss 1.8029 (1.7996)	Prec@1 49.219 (52.722)	Prec@5 82.812 (82.045)
Epoch: [81][10640/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 2.1423 (1.7996)	Prec@1 44.531 (52.724)	Prec@5 77.344 (82.045)
Epoch: [81][10650/14090]	Time 0.754 (0.751)	Data 0.002 (0.001)	Loss 1.8183 (1.7995)	Prec@1 51.562 (52.724)	Prec@5 80.469 (82.046)
Epoch: [81][10660/14090]	Time 0.741 (0.751)	Data 0.001 (0.001)	Loss 1.7700 (1.7996)	Prec@1 53.125 (52.724)	Prec@5 81.250 (82.046)
Epoch: [81][10670/14090]	Time 0.763 (0.751)	Data 0.002 (0.001)	Loss 1.8798 (1.7995)	Prec@1 49.219 (52.723)	Prec@5 77.344 (82.046)
Epoch: [81][10680/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 2.0333 (1.7995)	Prec@1 43.750 (52.723)	Prec@5 80.469 (82.046)
Epoch: [81][10690/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 1.6025 (1.7995)	Prec@1 51.562 (52.723)	Prec@5 87.500 (82.047)
Epoch: [81][10700/14090]	Time 0.777 (0.751)	Data 0.001 (0.001)	Loss 1.7460 (1.7996)	Prec@1 58.594 (52.723)	Prec@5 83.594 (82.045)
Epoch: [81][10710/14090]	Time 0.757 (0.751)	Data 0.001 (0.001)	Loss 1.6172 (1.7995)	Prec@1 53.906 (52.724)	Prec@5 83.594 (82.047)
Epoch: [81][10720/14090]	Time 0.750 (0.751)	Data 0.002 (0.001)	Loss 2.1430 (1.7996)	Prec@1 48.438 (52.724)	Prec@5 77.344 (82.046)
Epoch: [81][10730/14090]	Time 0.739 (0.751)	Data 0.001 (0.001)	Loss 1.8704 (1.7997)	Prec@1 49.219 (52.723)	Prec@5 77.344 (82.046)
Epoch: [81][10740/14090]	Time 0.761 (0.751)	Data 0.001 (0.001)	Loss 2.0038 (1.7997)	Prec@1 46.875 (52.721)	Prec@5 78.125 (82.046)
Epoch: [81][10750/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 1.9555 (1.7997)	Prec@1 46.875 (52.721)	Prec@5 82.031 (82.046)
Epoch: [81][10760/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 1.7371 (1.7998)	Prec@1 53.906 (52.719)	Prec@5 78.906 (82.044)
Epoch: [81][10770/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 1.6603 (1.7998)	Prec@1 55.469 (52.719)	Prec@5 87.500 (82.045)
Epoch: [81][10780/14090]	Time 0.737 (0.751)	Data 0.001 (0.001)	Loss 1.7951 (1.7998)	Prec@1 57.031 (52.720)	Prec@5 80.469 (82.045)
Epoch: [81][10790/14090]	Time 0.733 (0.751)	Data 0.002 (0.001)	Loss 1.7568 (1.7999)	Prec@1 52.344 (52.717)	Prec@5 82.031 (82.044)
Epoch: [81][10800/14090]	Time 0.742 (0.751)	Data 0.001 (0.001)	Loss 2.1305 (1.7999)	Prec@1 51.562 (52.717)	Prec@5 78.125 (82.043)
Epoch: [81][10810/14090]	Time 0.757 (0.751)	Data 0.001 (0.001)	Loss 1.8175 (1.8000)	Prec@1 55.469 (52.717)	Prec@5 85.938 (82.044)
Epoch: [81][10820/14090]	Time 0.743 (0.751)	Data 0.001 (0.001)	Loss 1.5387 (1.7999)	Prec@1 57.031 (52.719)	Prec@5 87.500 (82.046)
Epoch: [81][10830/14090]	Time 0.739 (0.751)	Data 0.001 (0.001)	Loss 1.8419 (1.7999)	Prec@1 53.906 (52.719)	Prec@5 81.250 (82.045)
Epoch: [81][10840/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 2.2935 (1.8000)	Prec@1 38.281 (52.715)	Prec@5 72.656 (82.042)
Epoch: [81][10850/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 2.1887 (1.8001)	Prec@1 39.844 (52.714)	Prec@5 78.125 (82.041)
Epoch: [81][10860/14090]	Time 0.750 (0.751)	Data 0.002 (0.001)	Loss 1.9026 (1.8001)	Prec@1 50.781 (52.715)	Prec@5 82.031 (82.041)
Epoch: [81][10870/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 2.0326 (1.8001)	Prec@1 50.781 (52.714)	Prec@5 75.000 (82.040)
Epoch: [81][10880/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 1.8040 (1.8001)	Prec@1 58.594 (52.715)	Prec@5 79.688 (82.042)
Epoch: [81][10890/14090]	Time 0.741 (0.751)	Data 0.001 (0.001)	Loss 1.8860 (1.8001)	Prec@1 56.250 (52.713)	Prec@5 78.125 (82.041)
Epoch: [81][10900/14090]	Time 0.776 (0.751)	Data 0.001 (0.001)	Loss 1.8623 (1.8002)	Prec@1 52.344 (52.712)	Prec@5 83.594 (82.040)
Epoch: [81][10910/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 1.7405 (1.8002)	Prec@1 58.594 (52.710)	Prec@5 81.250 (82.039)
Epoch: [81][10920/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 1.8387 (1.8002)	Prec@1 50.000 (52.709)	Prec@5 82.031 (82.039)
Epoch: [81][10930/14090]	Time 0.763 (0.751)	Data 0.002 (0.001)	Loss 1.7729 (1.8002)	Prec@1 46.875 (52.708)	Prec@5 85.156 (82.040)
Epoch: [81][10940/14090]	Time 0.742 (0.751)	Data 0.001 (0.001)	Loss 2.0013 (1.8003)	Prec@1 46.094 (52.707)	Prec@5 75.781 (82.039)
Epoch: [81][10950/14090]	Time 0.742 (0.751)	Data 0.001 (0.001)	Loss 2.0127 (1.8003)	Prec@1 51.562 (52.706)	Prec@5 78.125 (82.039)
Epoch: [81][10960/14090]	Time 0.737 (0.751)	Data 0.001 (0.001)	Loss 1.6228 (1.8003)	Prec@1 54.688 (52.706)	Prec@5 85.156 (82.038)
Epoch: [81][10970/14090]	Time 0.770 (0.751)	Data 0.001 (0.001)	Loss 1.8976 (1.8003)	Prec@1 51.562 (52.705)	Prec@5 80.469 (82.039)
Epoch: [81][10980/14090]	Time 0.728 (0.751)	Data 0.001 (0.001)	Loss 1.9278 (1.8003)	Prec@1 50.000 (52.705)	Prec@5 80.469 (82.039)
Epoch: [81][10990/14090]	Time 0.770 (0.751)	Data 0.001 (0.001)	Loss 1.8702 (1.8003)	Prec@1 46.875 (52.704)	Prec@5 82.812 (82.040)
Epoch: [81][11000/14090]	Time 0.737 (0.751)	Data 0.002 (0.001)	Loss 1.8322 (1.8004)	Prec@1 52.344 (52.703)	Prec@5 80.469 (82.039)
Epoch: [81][11010/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 1.6907 (1.8003)	Prec@1 57.031 (52.704)	Prec@5 85.156 (82.040)
Epoch: [81][11020/14090]	Time 0.740 (0.751)	Data 0.001 (0.001)	Loss 1.8389 (1.8003)	Prec@1 51.562 (52.704)	Prec@5 84.375 (82.040)
Epoch: [81][11030/14090]	Time 0.762 (0.751)	Data 0.001 (0.001)	Loss 2.1400 (1.8003)	Prec@1 44.531 (52.703)	Prec@5 76.562 (82.041)
Epoch: [81][11040/14090]	Time 0.767 (0.751)	Data 0.001 (0.001)	Loss 1.8913 (1.8004)	Prec@1 49.219 (52.702)	Prec@5 81.250 (82.040)
Epoch: [81][11050/14090]	Time 0.743 (0.751)	Data 0.001 (0.001)	Loss 1.9688 (1.8004)	Prec@1 46.094 (52.702)	Prec@5 81.250 (82.040)
Epoch: [81][11060/14090]	Time 0.727 (0.751)	Data 0.001 (0.001)	Loss 1.7965 (1.8003)	Prec@1 50.781 (52.701)	Prec@5 83.594 (82.041)
Epoch: [81][11070/14090]	Time 0.753 (0.751)	Data 0.002 (0.001)	Loss 1.8841 (1.8004)	Prec@1 51.562 (52.700)	Prec@5 83.594 (82.041)
Epoch: [81][11080/14090]	Time 0.785 (0.751)	Data 0.001 (0.001)	Loss 2.1830 (1.8004)	Prec@1 46.094 (52.699)	Prec@5 77.344 (82.041)
Epoch: [81][11090/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 1.7441 (1.8004)	Prec@1 54.688 (52.700)	Prec@5 82.031 (82.040)
Epoch: [81][11100/14090]	Time 0.737 (0.751)	Data 0.001 (0.001)	Loss 1.6259 (1.8003)	Prec@1 53.906 (52.702)	Prec@5 85.156 (82.040)
Epoch: [81][11110/14090]	Time 0.762 (0.751)	Data 0.001 (0.001)	Loss 1.9053 (1.8003)	Prec@1 53.906 (52.703)	Prec@5 81.250 (82.041)
Epoch: [81][11120/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 1.8085 (1.8003)	Prec@1 58.594 (52.702)	Prec@5 81.250 (82.040)
Epoch: [81][11130/14090]	Time 0.778 (0.751)	Data 0.001 (0.001)	Loss 1.7133 (1.8004)	Prec@1 56.250 (52.703)	Prec@5 82.812 (82.038)
Epoch: [81][11140/14090]	Time 0.741 (0.751)	Data 0.002 (0.001)	Loss 1.8100 (1.8004)	Prec@1 56.250 (52.703)	Prec@5 82.812 (82.038)
Epoch: [81][11150/14090]	Time 0.774 (0.751)	Data 0.001 (0.001)	Loss 1.9594 (1.8005)	Prec@1 42.969 (52.700)	Prec@5 81.250 (82.037)
Epoch: [81][11160/14090]	Time 0.775 (0.751)	Data 0.001 (0.001)	Loss 1.7561 (1.8005)	Prec@1 48.438 (52.698)	Prec@5 82.812 (82.037)
Epoch: [81][11170/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 1.7839 (1.8006)	Prec@1 51.562 (52.697)	Prec@5 80.469 (82.036)
Epoch: [81][11180/14090]	Time 0.727 (0.751)	Data 0.001 (0.001)	Loss 1.6640 (1.8005)	Prec@1 60.938 (52.698)	Prec@5 83.594 (82.038)
Epoch: [81][11190/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 1.6678 (1.8005)	Prec@1 56.250 (52.697)	Prec@5 83.594 (82.037)
Epoch: [81][11200/14090]	Time 0.769 (0.751)	Data 0.002 (0.001)	Loss 1.6331 (1.8005)	Prec@1 57.031 (52.696)	Prec@5 84.375 (82.036)
Epoch: [81][11210/14090]	Time 0.736 (0.751)	Data 0.002 (0.001)	Loss 2.1135 (1.8006)	Prec@1 51.562 (52.695)	Prec@5 75.781 (82.035)
Epoch: [81][11220/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 1.8636 (1.8006)	Prec@1 51.562 (52.693)	Prec@5 77.344 (82.036)
Epoch: [81][11230/14090]	Time 0.727 (0.751)	Data 0.001 (0.001)	Loss 1.6274 (1.8005)	Prec@1 51.562 (52.691)	Prec@5 83.594 (82.037)
Epoch: [81][11240/14090]	Time 0.731 (0.751)	Data 0.001 (0.001)	Loss 2.0789 (1.8005)	Prec@1 44.531 (52.691)	Prec@5 78.125 (82.035)
Epoch: [81][11250/14090]	Time 0.764 (0.751)	Data 0.001 (0.001)	Loss 2.1015 (1.8005)	Prec@1 49.219 (52.691)	Prec@5 74.219 (82.036)
Epoch: [81][11260/14090]	Time 0.793 (0.751)	Data 0.001 (0.001)	Loss 1.5580 (1.8005)	Prec@1 57.812 (52.692)	Prec@5 89.062 (82.036)
Epoch: [81][11270/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 1.7413 (1.8005)	Prec@1 57.031 (52.692)	Prec@5 78.906 (82.036)
Epoch: [81][11280/14090]	Time 0.732 (0.751)	Data 0.002 (0.001)	Loss 1.5773 (1.8005)	Prec@1 53.906 (52.694)	Prec@5 83.594 (82.036)
Epoch: [81][11290/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 1.8147 (1.8005)	Prec@1 54.688 (52.694)	Prec@5 81.250 (82.036)
Epoch: [81][11300/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 1.9378 (1.8005)	Prec@1 50.000 (52.694)	Prec@5 79.688 (82.035)
Epoch: [81][11310/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 1.8991 (1.8005)	Prec@1 46.875 (52.692)	Prec@5 75.781 (82.033)
Epoch: [81][11320/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 1.9143 (1.8007)	Prec@1 46.875 (52.688)	Prec@5 81.250 (82.031)
Epoch: [81][11330/14090]	Time 0.741 (0.751)	Data 0.001 (0.001)	Loss 1.7709 (1.8007)	Prec@1 51.562 (52.687)	Prec@5 81.250 (82.031)
Epoch: [81][11340/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 1.6568 (1.8006)	Prec@1 57.031 (52.690)	Prec@5 84.375 (82.031)
Epoch: [81][11350/14090]	Time 0.737 (0.751)	Data 0.002 (0.001)	Loss 1.5771 (1.8006)	Prec@1 57.031 (52.688)	Prec@5 85.938 (82.032)
Epoch: [81][11360/14090]	Time 0.734 (0.751)	Data 0.001 (0.001)	Loss 1.8040 (1.8006)	Prec@1 55.469 (52.687)	Prec@5 79.688 (82.031)
Epoch: [81][11370/14090]	Time 0.750 (0.751)	Data 0.002 (0.001)	Loss 1.7211 (1.8006)	Prec@1 58.594 (52.687)	Prec@5 82.812 (82.030)
Epoch: [81][11380/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 1.8151 (1.8007)	Prec@1 55.469 (52.685)	Prec@5 82.812 (82.030)
Epoch: [81][11390/14090]	Time 0.767 (0.751)	Data 0.001 (0.001)	Loss 1.6918 (1.8007)	Prec@1 53.125 (52.686)	Prec@5 85.156 (82.031)
Epoch: [81][11400/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 2.0277 (1.8007)	Prec@1 50.781 (52.688)	Prec@5 79.688 (82.030)
Epoch: [81][11410/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 1.7824 (1.8007)	Prec@1 49.219 (52.686)	Prec@5 83.594 (82.030)
Epoch: [81][11420/14090]	Time 0.736 (0.751)	Data 0.002 (0.001)	Loss 1.8828 (1.8007)	Prec@1 46.875 (52.686)	Prec@5 78.125 (82.030)
Epoch: [81][11430/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 1.8227 (1.8008)	Prec@1 51.562 (52.686)	Prec@5 82.812 (82.028)
Epoch: [81][11440/14090]	Time 0.734 (0.751)	Data 0.001 (0.001)	Loss 1.7447 (1.8008)	Prec@1 47.656 (52.686)	Prec@5 86.719 (82.028)
Epoch: [81][11450/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 1.9154 (1.8008)	Prec@1 50.781 (52.686)	Prec@5 80.469 (82.027)
Epoch: [81][11460/14090]	Time 0.725 (0.751)	Data 0.001 (0.001)	Loss 1.8384 (1.8008)	Prec@1 53.906 (52.685)	Prec@5 80.469 (82.027)
Epoch: [81][11470/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 2.0080 (1.8007)	Prec@1 41.406 (52.685)	Prec@5 78.125 (82.028)
Epoch: [81][11480/14090]	Time 0.771 (0.751)	Data 0.001 (0.001)	Loss 1.5495 (1.8008)	Prec@1 60.156 (52.685)	Prec@5 86.719 (82.027)
Epoch: [81][11490/14090]	Time 0.733 (0.751)	Data 0.002 (0.001)	Loss 1.9354 (1.8007)	Prec@1 53.906 (52.687)	Prec@5 78.125 (82.027)
Epoch: [81][11500/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 1.7643 (1.8007)	Prec@1 51.562 (52.688)	Prec@5 86.719 (82.028)
Epoch: [81][11510/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 2.2398 (1.8007)	Prec@1 42.969 (52.688)	Prec@5 75.000 (82.026)
Epoch: [81][11520/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 1.9221 (1.8008)	Prec@1 53.125 (52.687)	Prec@5 82.031 (82.026)
Epoch: [81][11530/14090]	Time 0.777 (0.751)	Data 0.001 (0.001)	Loss 1.9352 (1.8009)	Prec@1 50.781 (52.685)	Prec@5 80.469 (82.025)
Epoch: [81][11540/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 1.8460 (1.8009)	Prec@1 54.688 (52.685)	Prec@5 79.688 (82.025)
Epoch: [81][11550/14090]	Time 0.789 (0.751)	Data 0.001 (0.001)	Loss 1.7939 (1.8009)	Prec@1 57.031 (52.686)	Prec@5 82.031 (82.024)
Epoch: [81][11560/14090]	Time 0.784 (0.751)	Data 0.002 (0.001)	Loss 1.7721 (1.8008)	Prec@1 46.875 (52.686)	Prec@5 89.844 (82.025)
Epoch: [81][11570/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 1.7703 (1.8008)	Prec@1 48.438 (52.685)	Prec@5 84.375 (82.024)
Epoch: [81][11580/14090]	Time 0.789 (0.751)	Data 0.001 (0.001)	Loss 1.6119 (1.8008)	Prec@1 57.812 (52.687)	Prec@5 82.031 (82.025)
Epoch: [81][11590/14090]	Time 0.764 (0.751)	Data 0.001 (0.001)	Loss 1.6585 (1.8008)	Prec@1 53.125 (52.686)	Prec@5 83.594 (82.026)
Epoch: [81][11600/14090]	Time 0.778 (0.751)	Data 0.001 (0.001)	Loss 1.7420 (1.8008)	Prec@1 53.125 (52.685)	Prec@5 81.250 (82.025)
Epoch: [81][11610/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 1.7127 (1.8008)	Prec@1 61.719 (52.688)	Prec@5 80.469 (82.025)
Epoch: [81][11620/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 2.0280 (1.8008)	Prec@1 46.094 (52.687)	Prec@5 80.469 (82.024)
Epoch: [81][11630/14090]	Time 0.734 (0.751)	Data 0.002 (0.001)	Loss 1.8375 (1.8008)	Prec@1 54.688 (52.688)	Prec@5 82.031 (82.025)
Epoch: [81][11640/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 1.7558 (1.8007)	Prec@1 59.375 (52.689)	Prec@5 85.938 (82.026)
Epoch: [81][11650/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 1.9233 (1.8007)	Prec@1 46.094 (52.690)	Prec@5 79.688 (82.027)
Epoch: [81][11660/14090]	Time 0.728 (0.751)	Data 0.001 (0.001)	Loss 1.8845 (1.8007)	Prec@1 50.781 (52.689)	Prec@5 82.812 (82.027)
Epoch: [81][11670/14090]	Time 0.739 (0.751)	Data 0.001 (0.001)	Loss 1.7634 (1.8007)	Prec@1 55.469 (52.688)	Prec@5 82.812 (82.028)
Epoch: [81][11680/14090]	Time 0.739 (0.751)	Data 0.001 (0.001)	Loss 1.9867 (1.8008)	Prec@1 46.094 (52.687)	Prec@5 78.125 (82.028)
Epoch: [81][11690/14090]	Time 0.742 (0.751)	Data 0.001 (0.001)	Loss 1.7247 (1.8009)	Prec@1 59.375 (52.685)	Prec@5 82.031 (82.027)
Epoch: [81][11700/14090]	Time 0.728 (0.751)	Data 0.002 (0.001)	Loss 1.8646 (1.8009)	Prec@1 46.094 (52.684)	Prec@5 84.375 (82.025)
Epoch: [81][11710/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 1.9761 (1.8010)	Prec@1 59.375 (52.683)	Prec@5 76.562 (82.022)
Epoch: [81][11720/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 1.8813 (1.8011)	Prec@1 53.906 (52.682)	Prec@5 83.594 (82.021)
Epoch: [81][11730/14090]	Time 0.783 (0.751)	Data 0.001 (0.001)	Loss 1.7436 (1.8010)	Prec@1 52.344 (52.684)	Prec@5 84.375 (82.023)
Epoch: [81][11740/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 1.6309 (1.8011)	Prec@1 50.781 (52.682)	Prec@5 85.156 (82.022)
Epoch: [81][11750/14090]	Time 0.725 (0.751)	Data 0.001 (0.001)	Loss 1.7468 (1.8011)	Prec@1 56.250 (52.683)	Prec@5 84.375 (82.022)
Epoch: [81][11760/14090]	Time 0.741 (0.751)	Data 0.001 (0.001)	Loss 1.7387 (1.8011)	Prec@1 53.125 (52.683)	Prec@5 84.375 (82.021)
Epoch: [81][11770/14090]	Time 0.744 (0.751)	Data 0.002 (0.001)	Loss 1.7334 (1.8011)	Prec@1 49.219 (52.681)	Prec@5 87.500 (82.023)
Epoch: [81][11780/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 1.9408 (1.8012)	Prec@1 53.125 (52.680)	Prec@5 78.906 (82.022)
Epoch: [81][11790/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 1.8707 (1.8012)	Prec@1 50.781 (52.678)	Prec@5 79.688 (82.022)
Epoch: [81][11800/14090]	Time 0.786 (0.751)	Data 0.001 (0.001)	Loss 1.9756 (1.8013)	Prec@1 44.531 (52.676)	Prec@5 78.906 (82.022)
Epoch: [81][11810/14090]	Time 0.730 (0.751)	Data 0.001 (0.001)	Loss 1.7149 (1.8012)	Prec@1 53.906 (52.676)	Prec@5 84.375 (82.022)
Epoch: [81][11820/14090]	Time 0.750 (0.751)	Data 0.002 (0.001)	Loss 1.8999 (1.8012)	Prec@1 45.312 (52.677)	Prec@5 82.031 (82.021)
Epoch: [81][11830/14090]	Time 0.742 (0.751)	Data 0.001 (0.001)	Loss 2.2273 (1.8013)	Prec@1 43.750 (52.677)	Prec@5 78.125 (82.021)
Epoch: [81][11840/14090]	Time 0.748 (0.751)	Data 0.002 (0.001)	Loss 1.6702 (1.8013)	Prec@1 51.562 (52.678)	Prec@5 88.281 (82.021)
Epoch: [81][11850/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 1.9203 (1.8013)	Prec@1 50.000 (52.678)	Prec@5 84.375 (82.020)
Epoch: [81][11860/14090]	Time 0.739 (0.751)	Data 0.001 (0.001)	Loss 2.0284 (1.8014)	Prec@1 45.312 (52.677)	Prec@5 72.656 (82.019)
Epoch: [81][11870/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 1.5109 (1.8014)	Prec@1 60.156 (52.676)	Prec@5 85.156 (82.018)
Epoch: [81][11880/14090]	Time 0.763 (0.751)	Data 0.001 (0.001)	Loss 1.9013 (1.8015)	Prec@1 50.000 (52.675)	Prec@5 78.125 (82.017)
Epoch: [81][11890/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 1.8897 (1.8015)	Prec@1 52.344 (52.676)	Prec@5 82.031 (82.016)
Epoch: [81][11900/14090]	Time 0.786 (0.751)	Data 0.001 (0.001)	Loss 1.5488 (1.8016)	Prec@1 57.031 (52.673)	Prec@5 83.594 (82.015)
Epoch: [81][11910/14090]	Time 0.772 (0.751)	Data 0.003 (0.001)	Loss 1.9826 (1.8016)	Prec@1 50.000 (52.672)	Prec@5 77.344 (82.015)
Epoch: [81][11920/14090]	Time 0.779 (0.751)	Data 0.001 (0.001)	Loss 1.9056 (1.8016)	Prec@1 53.906 (52.671)	Prec@5 82.812 (82.013)
Epoch: [81][11930/14090]	Time 0.723 (0.751)	Data 0.001 (0.001)	Loss 1.7692 (1.8016)	Prec@1 59.375 (52.672)	Prec@5 79.688 (82.012)
Epoch: [81][11940/14090]	Time 0.737 (0.751)	Data 0.001 (0.001)	Loss 1.9123 (1.8017)	Prec@1 46.875 (52.672)	Prec@5 82.812 (82.013)
Epoch: [81][11950/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 1.9436 (1.8017)	Prec@1 50.781 (52.672)	Prec@5 79.688 (82.012)
Epoch: [81][11960/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 1.6746 (1.8017)	Prec@1 57.812 (52.671)	Prec@5 83.594 (82.012)
Epoch: [81][11970/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 1.7130 (1.8017)	Prec@1 55.469 (52.671)	Prec@5 85.938 (82.013)
Epoch: [81][11980/14090]	Time 0.737 (0.751)	Data 0.002 (0.001)	Loss 1.7569 (1.8018)	Prec@1 60.156 (52.670)	Prec@5 81.250 (82.012)
Epoch: [81][11990/14090]	Time 0.765 (0.751)	Data 0.001 (0.001)	Loss 1.6773 (1.8018)	Prec@1 57.031 (52.669)	Prec@5 87.500 (82.011)
Epoch: [81][12000/14090]	Time 0.760 (0.751)	Data 0.001 (0.001)	Loss 1.6683 (1.8017)	Prec@1 57.031 (52.670)	Prec@5 85.156 (82.013)
Epoch: [81][12010/14090]	Time 0.776 (0.751)	Data 0.001 (0.001)	Loss 2.0039 (1.8018)	Prec@1 48.438 (52.669)	Prec@5 76.562 (82.011)
Epoch: [81][12020/14090]	Time 0.782 (0.751)	Data 0.001 (0.001)	Loss 1.8229 (1.8017)	Prec@1 49.219 (52.670)	Prec@5 82.031 (82.013)
Epoch: [81][12030/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 1.8260 (1.8018)	Prec@1 48.438 (52.671)	Prec@5 81.250 (82.013)
Epoch: [81][12040/14090]	Time 0.786 (0.751)	Data 0.001 (0.001)	Loss 1.9289 (1.8017)	Prec@1 46.094 (52.672)	Prec@5 78.906 (82.014)
Epoch: [81][12050/14090]	Time 0.774 (0.751)	Data 0.002 (0.001)	Loss 1.7851 (1.8017)	Prec@1 51.562 (52.672)	Prec@5 83.594 (82.014)
Epoch: [81][12060/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 1.4575 (1.8017)	Prec@1 57.812 (52.673)	Prec@5 85.938 (82.015)
Epoch: [81][12070/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 1.9540 (1.8016)	Prec@1 49.219 (52.673)	Prec@5 79.688 (82.016)
Epoch: [81][12080/14090]	Time 0.775 (0.751)	Data 0.001 (0.001)	Loss 1.6974 (1.8016)	Prec@1 56.250 (52.675)	Prec@5 85.156 (82.017)
Epoch: [81][12090/14090]	Time 0.734 (0.751)	Data 0.001 (0.001)	Loss 1.9385 (1.8016)	Prec@1 50.000 (52.674)	Prec@5 79.688 (82.017)
Epoch: [81][12100/14090]	Time 0.764 (0.751)	Data 0.001 (0.001)	Loss 1.7905 (1.8016)	Prec@1 55.469 (52.674)	Prec@5 81.250 (82.017)
Epoch: [81][12110/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 1.8867 (1.8016)	Prec@1 50.781 (52.674)	Prec@5 78.906 (82.017)
Epoch: [81][12120/14090]	Time 0.740 (0.751)	Data 0.003 (0.001)	Loss 1.8031 (1.8016)	Prec@1 53.125 (52.674)	Prec@5 82.812 (82.016)
Epoch: [81][12130/14090]	Time 0.775 (0.751)	Data 0.001 (0.001)	Loss 1.8464 (1.8017)	Prec@1 53.906 (52.673)	Prec@5 82.031 (82.015)
Epoch: [81][12140/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 1.9460 (1.8016)	Prec@1 49.219 (52.674)	Prec@5 78.906 (82.015)
Epoch: [81][12150/14090]	Time 0.760 (0.751)	Data 0.001 (0.001)	Loss 1.9248 (1.8017)	Prec@1 53.906 (52.674)	Prec@5 78.906 (82.015)
Epoch: [81][12160/14090]	Time 0.762 (0.751)	Data 0.001 (0.001)	Loss 1.9926 (1.8017)	Prec@1 50.781 (52.673)	Prec@5 78.125 (82.014)
Epoch: [81][12170/14090]	Time 0.728 (0.751)	Data 0.001 (0.001)	Loss 1.7460 (1.8018)	Prec@1 55.469 (52.672)	Prec@5 85.156 (82.012)
Epoch: [81][12180/14090]	Time 0.761 (0.751)	Data 0.001 (0.001)	Loss 1.7964 (1.8018)	Prec@1 50.000 (52.673)	Prec@5 84.375 (82.013)
Epoch: [81][12190/14090]	Time 0.765 (0.751)	Data 0.002 (0.001)	Loss 1.8985 (1.8019)	Prec@1 52.344 (52.670)	Prec@5 82.031 (82.013)
Epoch: [81][12200/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 1.5180 (1.8019)	Prec@1 61.719 (52.670)	Prec@5 86.719 (82.014)
Epoch: [81][12210/14090]	Time 0.733 (0.751)	Data 0.001 (0.001)	Loss 1.8012 (1.8019)	Prec@1 54.688 (52.669)	Prec@5 81.250 (82.014)
Epoch: [81][12220/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 1.9624 (1.8019)	Prec@1 50.000 (52.668)	Prec@5 77.344 (82.013)
Epoch: [81][12230/14090]	Time 0.743 (0.751)	Data 0.001 (0.001)	Loss 1.7734 (1.8019)	Prec@1 51.562 (52.667)	Prec@5 81.250 (82.013)
Epoch: [81][12240/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 1.9055 (1.8019)	Prec@1 51.562 (52.666)	Prec@5 81.250 (82.014)
Epoch: [81][12250/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 1.8134 (1.8019)	Prec@1 57.031 (52.665)	Prec@5 82.031 (82.015)
Epoch: [81][12260/14090]	Time 0.727 (0.751)	Data 0.002 (0.001)	Loss 1.6980 (1.8019)	Prec@1 53.906 (52.664)	Prec@5 82.812 (82.014)
Epoch: [81][12270/14090]	Time 0.734 (0.751)	Data 0.001 (0.001)	Loss 1.7863 (1.8019)	Prec@1 52.344 (52.665)	Prec@5 85.938 (82.014)
Epoch: [81][12280/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 1.9497 (1.8019)	Prec@1 49.219 (52.663)	Prec@5 78.125 (82.015)
Epoch: [81][12290/14090]	Time 0.748 (0.751)	Data 0.001 (0.001)	Loss 2.0344 (1.8019)	Prec@1 50.000 (52.664)	Prec@5 75.000 (82.015)
Epoch: [81][12300/14090]	Time 0.740 (0.751)	Data 0.001 (0.001)	Loss 1.9268 (1.8019)	Prec@1 50.781 (52.664)	Prec@5 78.906 (82.016)
Epoch: [81][12310/14090]	Time 0.731 (0.751)	Data 0.001 (0.001)	Loss 1.9985 (1.8020)	Prec@1 51.562 (52.663)	Prec@5 81.250 (82.016)
Epoch: [81][12320/14090]	Time 0.762 (0.751)	Data 0.001 (0.001)	Loss 1.8821 (1.8020)	Prec@1 53.906 (52.664)	Prec@5 80.469 (82.016)
Epoch: [81][12330/14090]	Time 0.743 (0.751)	Data 0.002 (0.001)	Loss 1.9968 (1.8020)	Prec@1 49.219 (52.664)	Prec@5 79.688 (82.016)
Epoch: [81][12340/14090]	Time 0.766 (0.751)	Data 0.001 (0.001)	Loss 1.8352 (1.8020)	Prec@1 54.688 (52.663)	Prec@5 81.250 (82.015)
Epoch: [81][12350/14090]	Time 0.739 (0.751)	Data 0.001 (0.001)	Loss 1.8661 (1.8020)	Prec@1 50.000 (52.662)	Prec@5 81.250 (82.015)
Epoch: [81][12360/14090]	Time 0.740 (0.751)	Data 0.001 (0.001)	Loss 1.7844 (1.8020)	Prec@1 53.125 (52.662)	Prec@5 81.250 (82.016)
Epoch: [81][12370/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 1.7881 (1.8020)	Prec@1 53.125 (52.661)	Prec@5 80.469 (82.016)
Epoch: [81][12380/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 2.1084 (1.8020)	Prec@1 46.094 (52.662)	Prec@5 78.125 (82.016)
Epoch: [81][12390/14090]	Time 0.784 (0.751)	Data 0.001 (0.001)	Loss 1.7641 (1.8020)	Prec@1 56.250 (52.662)	Prec@5 85.156 (82.016)
Epoch: [81][12400/14090]	Time 0.729 (0.751)	Data 0.002 (0.001)	Loss 1.9755 (1.8020)	Prec@1 48.438 (52.661)	Prec@5 79.688 (82.016)
Epoch: [81][12410/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 1.7108 (1.8020)	Prec@1 50.781 (52.661)	Prec@5 83.594 (82.016)
Epoch: [81][12420/14090]	Time 0.770 (0.751)	Data 0.001 (0.001)	Loss 1.7468 (1.8020)	Prec@1 52.344 (52.661)	Prec@5 85.156 (82.017)
Epoch: [81][12430/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 1.6551 (1.8020)	Prec@1 53.906 (52.662)	Prec@5 86.719 (82.017)
Epoch: [81][12440/14090]	Time 0.740 (0.751)	Data 0.001 (0.001)	Loss 1.7440 (1.8020)	Prec@1 57.031 (52.662)	Prec@5 80.469 (82.016)
Epoch: [81][12450/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 1.7272 (1.8020)	Prec@1 50.000 (52.662)	Prec@5 80.469 (82.016)
Epoch: [81][12460/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 1.8120 (1.8019)	Prec@1 54.688 (52.662)	Prec@5 79.688 (82.017)
Epoch: [81][12470/14090]	Time 0.754 (0.751)	Data 0.003 (0.001)	Loss 1.8153 (1.8019)	Prec@1 51.562 (52.661)	Prec@5 83.594 (82.016)
Epoch: [81][12480/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 1.8659 (1.8019)	Prec@1 52.344 (52.662)	Prec@5 85.938 (82.017)
Epoch: [81][12490/14090]	Time 0.757 (0.751)	Data 0.001 (0.001)	Loss 1.8392 (1.8019)	Prec@1 57.031 (52.664)	Prec@5 78.125 (82.017)
Epoch: [81][12500/14090]	Time 0.759 (0.751)	Data 0.001 (0.001)	Loss 1.8691 (1.8018)	Prec@1 55.469 (52.665)	Prec@5 80.469 (82.017)
Epoch: [81][12510/14090]	Time 0.743 (0.751)	Data 0.001 (0.001)	Loss 1.8774 (1.8018)	Prec@1 52.344 (52.664)	Prec@5 85.156 (82.018)
Epoch: [81][12520/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 1.6676 (1.8018)	Prec@1 57.031 (52.665)	Prec@5 82.812 (82.018)
Epoch: [81][12530/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 2.0409 (1.8018)	Prec@1 51.562 (52.667)	Prec@5 75.781 (82.019)
Epoch: [81][12540/14090]	Time 0.755 (0.751)	Data 0.002 (0.001)	Loss 1.9665 (1.8018)	Prec@1 46.875 (52.666)	Prec@5 82.031 (82.018)
Epoch: [81][12550/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 1.7202 (1.8018)	Prec@1 50.781 (52.666)	Prec@5 83.594 (82.019)
Epoch: [81][12560/14090]	Time 0.738 (0.751)	Data 0.003 (0.001)	Loss 1.8905 (1.8019)	Prec@1 51.562 (52.665)	Prec@5 78.125 (82.018)
Epoch: [81][12570/14090]	Time 0.743 (0.751)	Data 0.001 (0.001)	Loss 1.8195 (1.8019)	Prec@1 53.125 (52.663)	Prec@5 82.031 (82.017)
Epoch: [81][12580/14090]	Time 0.775 (0.751)	Data 0.001 (0.001)	Loss 1.7656 (1.8019)	Prec@1 46.094 (52.662)	Prec@5 85.938 (82.017)
Epoch: [81][12590/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 1.7561 (1.8019)	Prec@1 57.031 (52.662)	Prec@5 81.250 (82.017)
Epoch: [81][12600/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 1.7844 (1.8018)	Prec@1 51.562 (52.663)	Prec@5 80.469 (82.018)
Epoch: [81][12610/14090]	Time 0.749 (0.751)	Data 0.002 (0.001)	Loss 1.6911 (1.8018)	Prec@1 53.906 (52.663)	Prec@5 77.344 (82.018)
Epoch: [81][12620/14090]	Time 0.743 (0.751)	Data 0.001 (0.001)	Loss 1.9675 (1.8018)	Prec@1 45.312 (52.663)	Prec@5 77.344 (82.019)
Epoch: [81][12630/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 1.8583 (1.8018)	Prec@1 49.219 (52.663)	Prec@5 80.469 (82.017)
Epoch: [81][12640/14090]	Time 0.777 (0.751)	Data 0.001 (0.001)	Loss 1.8163 (1.8019)	Prec@1 50.781 (52.661)	Prec@5 83.594 (82.017)
Epoch: [81][12650/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 1.6765 (1.8019)	Prec@1 55.469 (52.662)	Prec@5 85.156 (82.017)
Epoch: [81][12660/14090]	Time 0.774 (0.751)	Data 0.001 (0.001)	Loss 1.7636 (1.8018)	Prec@1 53.125 (52.665)	Prec@5 85.938 (82.017)
Epoch: [81][12670/14090]	Time 0.733 (0.751)	Data 0.001 (0.001)	Loss 1.6471 (1.8018)	Prec@1 55.469 (52.666)	Prec@5 86.719 (82.017)
Epoch: [81][12680/14090]	Time 0.735 (0.751)	Data 0.002 (0.001)	Loss 1.7518 (1.8018)	Prec@1 51.562 (52.665)	Prec@5 85.156 (82.018)
Epoch: [81][12690/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 1.5996 (1.8019)	Prec@1 55.469 (52.665)	Prec@5 86.719 (82.016)
Epoch: [81][12700/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 1.5169 (1.8018)	Prec@1 60.156 (52.667)	Prec@5 85.156 (82.017)
Epoch: [81][12710/14090]	Time 0.792 (0.751)	Data 0.001 (0.001)	Loss 1.6627 (1.8019)	Prec@1 59.375 (52.665)	Prec@5 83.594 (82.015)
Epoch: [81][12720/14090]	Time 0.749 (0.751)	Data 0.001 (0.001)	Loss 2.1021 (1.8020)	Prec@1 41.406 (52.663)	Prec@5 77.344 (82.014)
Epoch: [81][12730/14090]	Time 0.731 (0.751)	Data 0.001 (0.001)	Loss 1.8137 (1.8020)	Prec@1 57.031 (52.661)	Prec@5 82.031 (82.014)
Epoch: [81][12740/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 1.7649 (1.8020)	Prec@1 53.906 (52.662)	Prec@5 81.250 (82.014)
Epoch: [81][12750/14090]	Time 0.736 (0.751)	Data 0.002 (0.001)	Loss 1.8722 (1.8020)	Prec@1 46.094 (52.663)	Prec@5 82.812 (82.014)
Epoch: [81][12760/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 1.7048 (1.8019)	Prec@1 53.125 (52.664)	Prec@5 82.812 (82.015)
Epoch: [81][12770/14090]	Time 0.743 (0.751)	Data 0.001 (0.001)	Loss 2.0575 (1.8019)	Prec@1 45.312 (52.665)	Prec@5 77.344 (82.014)
Epoch: [81][12780/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 1.9234 (1.8019)	Prec@1 58.594 (52.667)	Prec@5 78.906 (82.014)
Epoch: [81][12790/14090]	Time 0.741 (0.751)	Data 0.001 (0.001)	Loss 1.6824 (1.8019)	Prec@1 59.375 (52.666)	Prec@5 79.688 (82.014)
Epoch: [81][12800/14090]	Time 0.767 (0.751)	Data 0.001 (0.001)	Loss 1.7293 (1.8019)	Prec@1 57.812 (52.665)	Prec@5 85.156 (82.014)
Epoch: [81][12810/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 1.6865 (1.8019)	Prec@1 52.344 (52.665)	Prec@5 82.812 (82.015)
Epoch: [81][12820/14090]	Time 0.765 (0.751)	Data 0.002 (0.001)	Loss 2.2120 (1.8020)	Prec@1 43.750 (52.665)	Prec@5 77.344 (82.014)
Epoch: [81][12830/14090]	Time 0.777 (0.751)	Data 0.001 (0.001)	Loss 1.8547 (1.8020)	Prec@1 52.344 (52.664)	Prec@5 80.469 (82.013)
Epoch: [81][12840/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 2.1047 (1.8020)	Prec@1 48.438 (52.663)	Prec@5 76.562 (82.013)
Epoch: [81][12850/14090]	Time 0.782 (0.751)	Data 0.001 (0.001)	Loss 2.0266 (1.8021)	Prec@1 51.562 (52.662)	Prec@5 75.781 (82.012)
Epoch: [81][12860/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 1.6409 (1.8020)	Prec@1 53.906 (52.662)	Prec@5 86.719 (82.014)
Epoch: [81][12870/14090]	Time 0.741 (0.751)	Data 0.001 (0.001)	Loss 1.6114 (1.8020)	Prec@1 57.812 (52.661)	Prec@5 85.938 (82.014)
Epoch: [81][12880/14090]	Time 0.729 (0.751)	Data 0.001 (0.001)	Loss 1.7539 (1.8020)	Prec@1 50.781 (52.661)	Prec@5 80.469 (82.014)
Epoch: [81][12890/14090]	Time 0.726 (0.751)	Data 0.002 (0.001)	Loss 1.8723 (1.8020)	Prec@1 57.812 (52.661)	Prec@5 81.250 (82.013)
Epoch: [81][12900/14090]	Time 0.729 (0.751)	Data 0.001 (0.001)	Loss 1.8719 (1.8020)	Prec@1 56.250 (52.660)	Prec@5 82.031 (82.012)
Epoch: [81][12910/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 1.7194 (1.8020)	Prec@1 57.812 (52.658)	Prec@5 85.938 (82.012)
Epoch: [81][12920/14090]	Time 0.759 (0.751)	Data 0.001 (0.001)	Loss 1.7877 (1.8021)	Prec@1 52.344 (52.657)	Prec@5 82.031 (82.011)
Epoch: [81][12930/14090]	Time 0.731 (0.751)	Data 0.001 (0.001)	Loss 1.9227 (1.8022)	Prec@1 53.906 (52.656)	Prec@5 80.469 (82.010)
Epoch: [81][12940/14090]	Time 0.770 (0.751)	Data 0.001 (0.001)	Loss 1.8531 (1.8022)	Prec@1 52.344 (52.655)	Prec@5 80.469 (82.010)
Epoch: [81][12950/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 1.6442 (1.8022)	Prec@1 60.156 (52.657)	Prec@5 82.812 (82.011)
Epoch: [81][12960/14090]	Time 0.737 (0.751)	Data 0.002 (0.001)	Loss 1.8497 (1.8021)	Prec@1 52.344 (52.657)	Prec@5 81.250 (82.012)
Epoch: [81][12970/14090]	Time 0.772 (0.751)	Data 0.001 (0.001)	Loss 1.5619 (1.8021)	Prec@1 52.344 (52.658)	Prec@5 85.938 (82.013)
Epoch: [81][12980/14090]	Time 0.724 (0.751)	Data 0.001 (0.001)	Loss 1.9586 (1.8021)	Prec@1 53.125 (52.659)	Prec@5 79.688 (82.012)
Epoch: [81][12990/14090]	Time 0.729 (0.751)	Data 0.001 (0.001)	Loss 1.8900 (1.8021)	Prec@1 53.906 (52.660)	Prec@5 75.781 (82.012)
Epoch: [81][13000/14090]	Time 0.727 (0.751)	Data 0.001 (0.001)	Loss 1.9284 (1.8021)	Prec@1 48.438 (52.661)	Prec@5 78.906 (82.013)
Epoch: [81][13010/14090]	Time 0.744 (0.751)	Data 0.001 (0.001)	Loss 1.9871 (1.8020)	Prec@1 48.438 (52.660)	Prec@5 78.125 (82.013)
Epoch: [81][13020/14090]	Time 0.731 (0.751)	Data 0.001 (0.001)	Loss 1.7375 (1.8020)	Prec@1 57.031 (52.660)	Prec@5 82.031 (82.014)
Epoch: [81][13030/14090]	Time 0.730 (0.751)	Data 0.002 (0.001)	Loss 1.2515 (1.8021)	Prec@1 67.969 (52.659)	Prec@5 90.625 (82.013)
Epoch: [81][13040/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 1.7516 (1.8021)	Prec@1 55.469 (52.658)	Prec@5 79.688 (82.012)
Epoch: [81][13050/14090]	Time 0.762 (0.751)	Data 0.001 (0.001)	Loss 1.9639 (1.8022)	Prec@1 51.562 (52.656)	Prec@5 77.344 (82.010)
Epoch: [81][13060/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 1.7125 (1.8022)	Prec@1 54.688 (52.656)	Prec@5 85.156 (82.011)
Epoch: [81][13070/14090]	Time 0.767 (0.751)	Data 0.001 (0.001)	Loss 1.8003 (1.8023)	Prec@1 53.125 (52.656)	Prec@5 80.469 (82.009)
Epoch: [81][13080/14090]	Time 0.742 (0.751)	Data 0.001 (0.001)	Loss 1.9916 (1.8023)	Prec@1 53.906 (52.655)	Prec@5 80.469 (82.008)
Epoch: [81][13090/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 1.5900 (1.8023)	Prec@1 53.125 (52.654)	Prec@5 84.375 (82.008)
Epoch: [81][13100/14090]	Time 0.755 (0.751)	Data 0.002 (0.001)	Loss 1.8261 (1.8023)	Prec@1 58.594 (52.653)	Prec@5 81.250 (82.008)
Epoch: [81][13110/14090]	Time 0.731 (0.751)	Data 0.001 (0.001)	Loss 1.8200 (1.8023)	Prec@1 52.344 (52.653)	Prec@5 82.031 (82.009)
Epoch: [81][13120/14090]	Time 0.729 (0.751)	Data 0.001 (0.001)	Loss 1.7896 (1.8023)	Prec@1 48.438 (52.653)	Prec@5 84.375 (82.009)
Epoch: [81][13130/14090]	Time 0.763 (0.751)	Data 0.001 (0.001)	Loss 1.8941 (1.8023)	Prec@1 50.000 (52.652)	Prec@5 82.031 (82.008)
Epoch: [81][13140/14090]	Time 0.737 (0.751)	Data 0.001 (0.001)	Loss 1.8394 (1.8023)	Prec@1 49.219 (52.652)	Prec@5 80.469 (82.007)
Epoch: [81][13150/14090]	Time 0.746 (0.751)	Data 0.001 (0.001)	Loss 1.8781 (1.8024)	Prec@1 49.219 (52.650)	Prec@5 82.812 (82.007)
Epoch: [81][13160/14090]	Time 0.741 (0.751)	Data 0.001 (0.001)	Loss 1.8842 (1.8024)	Prec@1 47.656 (52.649)	Prec@5 78.906 (82.006)
Epoch: [81][13170/14090]	Time 0.755 (0.751)	Data 0.002 (0.001)	Loss 2.2037 (1.8024)	Prec@1 48.438 (52.649)	Prec@5 70.312 (82.005)
Epoch: [81][13180/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 1.7007 (1.8024)	Prec@1 51.562 (52.649)	Prec@5 81.250 (82.004)
Epoch: [81][13190/14090]	Time 0.742 (0.751)	Data 0.001 (0.001)	Loss 1.7311 (1.8025)	Prec@1 60.938 (52.647)	Prec@5 85.156 (82.003)
Epoch: [81][13200/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 1.8735 (1.8026)	Prec@1 56.250 (52.647)	Prec@5 81.250 (82.002)
Epoch: [81][13210/14090]	Time 0.778 (0.751)	Data 0.001 (0.001)	Loss 1.7358 (1.8026)	Prec@1 56.250 (52.647)	Prec@5 85.156 (82.002)
Epoch: [81][13220/14090]	Time 0.757 (0.751)	Data 0.001 (0.001)	Loss 1.8473 (1.8025)	Prec@1 52.344 (52.648)	Prec@5 80.469 (82.003)
Epoch: [81][13230/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 1.9454 (1.8025)	Prec@1 52.344 (52.647)	Prec@5 78.125 (82.003)
Epoch: [81][13240/14090]	Time 0.764 (0.751)	Data 0.002 (0.001)	Loss 1.8246 (1.8025)	Prec@1 50.000 (52.649)	Prec@5 81.250 (82.004)
Epoch: [81][13250/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 2.2374 (1.8025)	Prec@1 49.219 (52.649)	Prec@5 72.656 (82.004)
Epoch: [81][13260/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 2.0562 (1.8025)	Prec@1 47.656 (52.648)	Prec@5 77.344 (82.003)
Epoch: [81][13270/14090]	Time 0.733 (0.751)	Data 0.001 (0.001)	Loss 1.6190 (1.8025)	Prec@1 55.469 (52.649)	Prec@5 85.156 (82.005)
Epoch: [81][13280/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 1.9071 (1.8025)	Prec@1 50.000 (52.650)	Prec@5 79.688 (82.003)
Epoch: [81][13290/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 1.8427 (1.8025)	Prec@1 56.250 (52.650)	Prec@5 84.375 (82.004)
Epoch: [81][13300/14090]	Time 0.767 (0.751)	Data 0.001 (0.001)	Loss 1.5732 (1.8025)	Prec@1 60.156 (52.652)	Prec@5 88.281 (82.005)
Epoch: [81][13310/14090]	Time 0.781 (0.751)	Data 0.002 (0.001)	Loss 1.5638 (1.8025)	Prec@1 59.375 (52.651)	Prec@5 85.156 (82.003)
Epoch: [81][13320/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 1.9318 (1.8026)	Prec@1 47.656 (52.650)	Prec@5 79.688 (82.002)
Epoch: [81][13330/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 2.1601 (1.8026)	Prec@1 46.875 (52.649)	Prec@5 78.906 (82.002)
Epoch: [81][13340/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 1.6747 (1.8026)	Prec@1 54.688 (52.649)	Prec@5 79.688 (82.001)
Epoch: [81][13350/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 1.7647 (1.8026)	Prec@1 53.906 (52.650)	Prec@5 83.594 (82.001)
Epoch: [81][13360/14090]	Time 0.737 (0.751)	Data 0.001 (0.001)	Loss 1.6793 (1.8026)	Prec@1 51.562 (52.650)	Prec@5 85.938 (82.001)
Epoch: [81][13370/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 1.7160 (1.8025)	Prec@1 50.781 (52.650)	Prec@5 83.594 (82.002)
Epoch: [81][13380/14090]	Time 0.734 (0.751)	Data 0.002 (0.001)	Loss 1.8670 (1.8025)	Prec@1 52.344 (52.649)	Prec@5 79.688 (82.002)
Epoch: [81][13390/14090]	Time 0.774 (0.751)	Data 0.001 (0.001)	Loss 1.7441 (1.8026)	Prec@1 50.781 (52.648)	Prec@5 83.594 (82.000)
Epoch: [81][13400/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 1.7868 (1.8026)	Prec@1 50.781 (52.647)	Prec@5 82.812 (82.000)
Epoch: [81][13410/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 1.9145 (1.8027)	Prec@1 52.344 (52.647)	Prec@5 80.469 (82.000)
Epoch: [81][13420/14090]	Time 0.757 (0.751)	Data 0.001 (0.001)	Loss 1.8335 (1.8027)	Prec@1 50.000 (52.646)	Prec@5 80.469 (81.999)
Epoch: [81][13430/14090]	Time 0.738 (0.751)	Data 0.001 (0.001)	Loss 1.6992 (1.8026)	Prec@1 55.469 (52.647)	Prec@5 83.594 (82.001)
Epoch: [81][13440/14090]	Time 0.761 (0.751)	Data 0.001 (0.001)	Loss 1.8922 (1.8026)	Prec@1 49.219 (52.647)	Prec@5 81.250 (82.001)
Epoch: [81][13450/14090]	Time 0.733 (0.751)	Data 0.002 (0.001)	Loss 2.0929 (1.8026)	Prec@1 46.875 (52.647)	Prec@5 82.031 (82.001)
Epoch: [81][13460/14090]	Time 0.759 (0.751)	Data 0.001 (0.001)	Loss 1.5739 (1.8026)	Prec@1 55.469 (52.646)	Prec@5 82.031 (82.002)
Epoch: [81][13470/14090]	Time 0.768 (0.751)	Data 0.001 (0.001)	Loss 1.8118 (1.8026)	Prec@1 51.562 (52.647)	Prec@5 84.375 (82.003)
Epoch: [81][13480/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 1.9625 (1.8026)	Prec@1 51.562 (52.644)	Prec@5 75.781 (82.002)
Epoch: [81][13490/14090]	Time 0.743 (0.751)	Data 0.001 (0.001)	Loss 1.7765 (1.8026)	Prec@1 55.469 (52.645)	Prec@5 79.688 (82.003)
Epoch: [81][13500/14090]	Time 0.761 (0.751)	Data 0.001 (0.001)	Loss 1.7400 (1.8026)	Prec@1 49.219 (52.645)	Prec@5 85.938 (82.004)
Epoch: [81][13510/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 2.0436 (1.8026)	Prec@1 50.781 (52.646)	Prec@5 78.125 (82.003)
Epoch: [81][13520/14090]	Time 0.747 (0.751)	Data 0.002 (0.001)	Loss 1.8315 (1.8027)	Prec@1 46.875 (52.644)	Prec@5 83.594 (82.003)
Epoch: [81][13530/14090]	Time 0.731 (0.751)	Data 0.001 (0.001)	Loss 1.6767 (1.8026)	Prec@1 54.688 (52.645)	Prec@5 83.594 (82.004)
Epoch: [81][13540/14090]	Time 0.733 (0.751)	Data 0.001 (0.001)	Loss 1.7460 (1.8026)	Prec@1 52.344 (52.644)	Prec@5 80.469 (82.004)
Epoch: [81][13550/14090]	Time 0.729 (0.751)	Data 0.001 (0.001)	Loss 1.8426 (1.8027)	Prec@1 54.688 (52.645)	Prec@5 78.125 (82.004)
Epoch: [81][13560/14090]	Time 0.740 (0.751)	Data 0.001 (0.001)	Loss 1.7212 (1.8027)	Prec@1 48.438 (52.643)	Prec@5 83.594 (82.003)
Epoch: [81][13570/14090]	Time 0.767 (0.751)	Data 0.001 (0.001)	Loss 1.9406 (1.8027)	Prec@1 50.781 (52.643)	Prec@5 81.250 (82.003)
Epoch: [81][13580/14090]	Time 0.743 (0.751)	Data 0.001 (0.001)	Loss 2.0692 (1.8028)	Prec@1 45.312 (52.642)	Prec@5 77.344 (82.002)
Epoch: [81][13590/14090]	Time 0.735 (0.751)	Data 0.002 (0.001)	Loss 2.0503 (1.8028)	Prec@1 53.125 (52.641)	Prec@5 82.031 (82.002)
Epoch: [81][13600/14090]	Time 0.773 (0.751)	Data 0.001 (0.001)	Loss 1.5238 (1.8028)	Prec@1 61.719 (52.641)	Prec@5 85.938 (82.002)
Epoch: [81][13610/14090]	Time 0.776 (0.751)	Data 0.001 (0.001)	Loss 1.7108 (1.8027)	Prec@1 54.688 (52.641)	Prec@5 83.594 (82.005)
Epoch: [81][13620/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 2.1671 (1.8028)	Prec@1 48.438 (52.640)	Prec@5 75.000 (82.005)
Epoch: [81][13630/14090]	Time 0.759 (0.751)	Data 0.001 (0.001)	Loss 2.0619 (1.8028)	Prec@1 50.781 (52.639)	Prec@5 73.438 (82.005)
Epoch: [81][13640/14090]	Time 0.733 (0.751)	Data 0.001 (0.001)	Loss 1.7728 (1.8028)	Prec@1 54.688 (52.639)	Prec@5 82.812 (82.004)
Epoch: [81][13650/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 1.8600 (1.8029)	Prec@1 54.688 (52.637)	Prec@5 82.031 (82.003)
Epoch: [81][13660/14090]	Time 0.764 (0.751)	Data 0.002 (0.001)	Loss 1.8787 (1.8030)	Prec@1 52.344 (52.636)	Prec@5 79.688 (82.002)
Epoch: [81][13670/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 1.9221 (1.8030)	Prec@1 47.656 (52.636)	Prec@5 80.469 (82.001)
Epoch: [81][13680/14090]	Time 0.779 (0.751)	Data 0.001 (0.001)	Loss 2.0877 (1.8030)	Prec@1 40.625 (52.636)	Prec@5 77.344 (81.999)
Epoch: [81][13690/14090]	Time 0.758 (0.751)	Data 0.001 (0.001)	Loss 1.9537 (1.8030)	Prec@1 55.469 (52.636)	Prec@5 80.469 (82.001)
Epoch: [81][13700/14090]	Time 0.719 (0.751)	Data 0.001 (0.001)	Loss 1.8741 (1.8030)	Prec@1 46.094 (52.637)	Prec@5 80.469 (82.001)
Epoch: [81][13710/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 1.9540 (1.8030)	Prec@1 47.656 (52.636)	Prec@5 78.906 (82.000)
Epoch: [81][13720/14090]	Time 0.752 (0.751)	Data 0.001 (0.001)	Loss 2.0056 (1.8031)	Prec@1 53.125 (52.636)	Prec@5 78.125 (81.999)
Epoch: [81][13730/14090]	Time 0.731 (0.751)	Data 0.002 (0.001)	Loss 1.8339 (1.8031)	Prec@1 47.656 (52.637)	Prec@5 79.688 (81.999)
Epoch: [81][13740/14090]	Time 0.782 (0.751)	Data 0.001 (0.001)	Loss 1.9494 (1.8031)	Prec@1 45.312 (52.635)	Prec@5 81.250 (81.999)
Epoch: [81][13750/14090]	Time 0.778 (0.751)	Data 0.001 (0.001)	Loss 2.0333 (1.8031)	Prec@1 46.875 (52.635)	Prec@5 76.562 (81.999)
Epoch: [81][13760/14090]	Time 0.737 (0.751)	Data 0.001 (0.001)	Loss 1.8497 (1.8031)	Prec@1 49.219 (52.636)	Prec@5 79.688 (82.000)
Epoch: [81][13770/14090]	Time 0.750 (0.751)	Data 0.001 (0.001)	Loss 2.0842 (1.8032)	Prec@1 45.312 (52.633)	Prec@5 73.438 (81.998)
Epoch: [81][13780/14090]	Time 0.751 (0.751)	Data 0.001 (0.001)	Loss 1.8484 (1.8032)	Prec@1 56.250 (52.633)	Prec@5 79.688 (81.997)
Epoch: [81][13790/14090]	Time 0.730 (0.751)	Data 0.001 (0.001)	Loss 2.1025 (1.8032)	Prec@1 42.188 (52.632)	Prec@5 76.562 (81.997)
Epoch: [81][13800/14090]	Time 0.738 (0.751)	Data 0.002 (0.001)	Loss 1.8663 (1.8032)	Prec@1 52.344 (52.633)	Prec@5 78.906 (81.998)
Epoch: [81][13810/14090]	Time 0.774 (0.751)	Data 0.001 (0.001)	Loss 1.7594 (1.8032)	Prec@1 53.125 (52.632)	Prec@5 81.250 (81.997)
Epoch: [81][13820/14090]	Time 0.765 (0.751)	Data 0.001 (0.001)	Loss 1.8965 (1.8032)	Prec@1 53.906 (52.632)	Prec@5 83.594 (81.997)
Epoch: [81][13830/14090]	Time 0.756 (0.751)	Data 0.001 (0.001)	Loss 1.7448 (1.8032)	Prec@1 60.156 (52.632)	Prec@5 76.562 (81.996)
Epoch: [81][13840/14090]	Time 0.729 (0.751)	Data 0.001 (0.001)	Loss 1.9909 (1.8032)	Prec@1 44.531 (52.632)	Prec@5 82.031 (81.996)
Epoch: [81][13850/14090]	Time 0.761 (0.751)	Data 0.001 (0.001)	Loss 1.8602 (1.8032)	Prec@1 50.781 (52.631)	Prec@5 78.125 (81.997)
Epoch: [81][13860/14090]	Time 0.743 (0.751)	Data 0.001 (0.001)	Loss 2.0507 (1.8033)	Prec@1 48.438 (52.630)	Prec@5 79.688 (81.995)
Epoch: [81][13870/14090]	Time 0.776 (0.751)	Data 0.002 (0.001)	Loss 1.7218 (1.8033)	Prec@1 50.000 (52.630)	Prec@5 85.938 (81.995)
Epoch: [81][13880/14090]	Time 0.733 (0.751)	Data 0.001 (0.001)	Loss 1.7400 (1.8033)	Prec@1 53.125 (52.629)	Prec@5 85.938 (81.995)
Epoch: [81][13890/14090]	Time 0.740 (0.751)	Data 0.001 (0.001)	Loss 1.6249 (1.8033)	Prec@1 50.781 (52.630)	Prec@5 89.844 (81.996)
Epoch: [81][13900/14090]	Time 0.747 (0.751)	Data 0.001 (0.001)	Loss 1.8364 (1.8033)	Prec@1 57.031 (52.628)	Prec@5 77.344 (81.994)
Epoch: [81][13910/14090]	Time 0.722 (0.751)	Data 0.001 (0.001)	Loss 2.1393 (1.8034)	Prec@1 48.438 (52.627)	Prec@5 77.344 (81.993)
Epoch: [81][13920/14090]	Time 0.754 (0.751)	Data 0.001 (0.001)	Loss 1.7930 (1.8034)	Prec@1 52.344 (52.627)	Prec@5 78.906 (81.993)
Epoch: [81][13930/14090]	Time 0.742 (0.751)	Data 0.001 (0.001)	Loss 1.7842 (1.8034)	Prec@1 59.375 (52.627)	Prec@5 82.031 (81.992)
Epoch: [81][13940/14090]	Time 0.744 (0.751)	Data 0.002 (0.001)	Loss 1.6769 (1.8034)	Prec@1 56.250 (52.628)	Prec@5 85.156 (81.993)
Epoch: [81][13950/14090]	Time 0.730 (0.751)	Data 0.001 (0.001)	Loss 1.6507 (1.8034)	Prec@1 60.156 (52.629)	Prec@5 82.812 (81.993)
Epoch: [81][13960/14090]	Time 0.735 (0.751)	Data 0.001 (0.001)	Loss 1.6968 (1.8033)	Prec@1 57.812 (52.629)	Prec@5 85.938 (81.993)
Epoch: [81][13970/14090]	Time 0.757 (0.751)	Data 0.001 (0.001)	Loss 1.7638 (1.8033)	Prec@1 55.469 (52.629)	Prec@5 82.812 (81.994)
Epoch: [81][13980/14090]	Time 0.745 (0.751)	Data 0.001 (0.001)	Loss 1.7984 (1.8033)	Prec@1 51.562 (52.628)	Prec@5 82.031 (81.993)
Epoch: [81][13990/14090]	Time 0.753 (0.751)	Data 0.001 (0.001)	Loss 2.0655 (1.8033)	Prec@1 48.438 (52.629)	Prec@5 78.125 (81.994)
Epoch: [81][14000/14090]	Time 0.742 (0.751)	Data 0.001 (0.001)	Loss 1.7107 (1.8033)	Prec@1 54.688 (52.627)	Prec@5 85.156 (81.996)
Epoch: [81][14010/14090]	Time 0.738 (0.751)	Data 0.003 (0.001)	Loss 2.0211 (1.8033)	Prec@1 49.219 (52.629)	Prec@5 75.781 (81.997)
Epoch: [81][14020/14090]	Time 0.731 (0.751)	Data 0.001 (0.001)	Loss 1.9432 (1.8033)	Prec@1 45.312 (52.627)	Prec@5 81.250 (81.997)
Epoch: [81][14030/14090]	Time 0.732 (0.751)	Data 0.001 (0.001)	Loss 1.6710 (1.8033)	Prec@1 54.688 (52.627)	Prec@5 85.156 (81.997)
Epoch: [81][14040/14090]	Time 0.734 (0.751)	Data 0.001 (0.001)	Loss 1.7682 (1.8033)	Prec@1 52.344 (52.627)	Prec@5 85.938 (81.997)
Epoch: [81][14050/14090]	Time 0.736 (0.751)	Data 0.001 (0.001)	Loss 1.7392 (1.8033)	Prec@1 58.594 (52.628)	Prec@5 81.250 (81.997)
Epoch: [81][14060/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 1.8599 (1.8033)	Prec@1 52.344 (52.629)	Prec@5 78.125 (81.997)
Epoch: [81][14070/14090]	Time 0.755 (0.751)	Data 0.001 (0.001)	Loss 1.6964 (1.8033)	Prec@1 57.031 (52.629)	Prec@5 82.812 (81.997)
Epoch: [81][14080/14090]	Time 0.762 (0.751)	Data 0.000 (0.001)	Loss 1.9971 (1.8033)	Prec@1 42.969 (52.628)	Prec@5 75.781 (81.995)
Test: [0/286]	Time 4.092 (4.092)	Loss 1.2364 (1.2364)	Prec@1 57.812 (57.812)	Prec@5 95.312 (95.312)
Test: [10/286]	Time 0.238 (0.705)	Loss 1.6002 (1.7365)	Prec@1 57.812 (54.261)	Prec@5 87.500 (85.440)
Test: [20/286]	Time 0.262 (0.547)	Loss 1.4043 (1.6839)	Prec@1 61.719 (54.576)	Prec@5 89.062 (86.421)
Test: [30/286]	Time 0.227 (0.487)	Loss 1.9719 (1.6241)	Prec@1 49.219 (56.729)	Prec@5 80.469 (86.240)
Test: [40/286]	Time 1.411 (0.484)	Loss 1.5118 (1.6364)	Prec@1 53.125 (56.326)	Prec@5 89.062 (86.185)
Test: [50/286]	Time 0.230 (0.462)	Loss 0.4095 (1.6368)	Prec@1 94.531 (56.066)	Prec@5 95.312 (86.121)
Test: [60/286]	Time 0.225 (0.445)	Loss 2.7285 (1.6675)	Prec@1 33.594 (55.494)	Prec@5 66.406 (85.118)
Test: [70/286]	Time 0.257 (0.434)	Loss 1.0787 (1.6533)	Prec@1 73.438 (55.887)	Prec@5 91.406 (85.222)
Test: [80/286]	Time 1.341 (0.440)	Loss 1.7641 (1.6786)	Prec@1 47.656 (54.929)	Prec@5 85.938 (85.156)
Test: [90/286]	Time 0.259 (0.431)	Loss 1.7884 (1.6925)	Prec@1 47.656 (54.722)	Prec@5 85.156 (84.993)
Test: [100/286]	Time 0.231 (0.424)	Loss 2.2306 (1.7100)	Prec@1 32.031 (54.015)	Prec@5 83.594 (84.971)
Test: [110/286]	Time 0.228 (0.419)	Loss 2.1196 (1.7311)	Prec@1 43.750 (53.568)	Prec@5 79.688 (84.840)
Test: [120/286]	Time 0.925 (0.424)	Loss 1.4442 (1.7145)	Prec@1 67.969 (54.171)	Prec@5 82.031 (84.982)
Test: [130/286]	Time 0.229 (0.420)	Loss 0.8671 (1.7114)	Prec@1 71.875 (54.365)	Prec@5 95.312 (85.013)
Test: [140/286]	Time 0.229 (0.415)	Loss 2.2489 (1.6985)	Prec@1 49.219 (54.721)	Prec@5 70.312 (85.062)
Test: [150/286]	Time 0.223 (0.412)	Loss 2.8670 (1.7117)	Prec@1 28.906 (54.237)	Prec@5 70.312 (84.965)
Test: [160/286]	Time 0.292 (0.417)	Loss 2.3605 (1.7097)	Prec@1 34.375 (54.251)	Prec@5 79.688 (85.006)
Test: [170/286]	Time 0.342 (0.414)	Loss 2.0426 (1.7064)	Prec@1 46.094 (54.299)	Prec@5 80.469 (85.065)
Test: [180/286]	Time 0.239 (0.412)	Loss 1.7841 (1.7219)	Prec@1 62.500 (53.932)	Prec@5 81.250 (84.841)
Test: [190/286]	Time 0.231 (0.410)	Loss 2.9315 (1.7429)	Prec@1 15.625 (53.370)	Prec@5 70.312 (84.649)
Test: [200/286]	Time 0.282 (0.411)	Loss 1.8342 (1.7390)	Prec@1 56.250 (53.467)	Prec@5 85.156 (84.670)
Test: [210/286]	Time 0.292 (0.411)	Loss 2.0713 (1.7452)	Prec@1 51.562 (53.314)	Prec@5 83.594 (84.568)
Test: [220/286]	Time 0.296 (0.409)	Loss 2.9177 (1.7515)	Prec@1 20.312 (53.249)	Prec@5 67.188 (84.389)
Test: [230/286]	Time 0.229 (0.407)	Loss 1.2469 (1.7502)	Prec@1 67.188 (53.297)	Prec@5 88.281 (84.385)
Test: [240/286]	Time 0.421 (0.407)	Loss 1.7766 (1.7491)	Prec@1 59.375 (53.423)	Prec@5 85.156 (84.391)
Test: [250/286]	Time 0.720 (0.409)	Loss 1.8337 (1.7405)	Prec@1 50.781 (53.505)	Prec@5 81.250 (84.556)
Test: [260/286]	Time 0.483 (0.407)	Loss 1.6530 (1.7304)	Prec@1 54.688 (53.766)	Prec@5 87.500 (84.722)
Test: [270/286]	Time 0.287 (0.406)	Loss 1.0963 (1.7299)	Prec@1 71.094 (53.768)	Prec@5 89.844 (84.744)
Test: [280/286]	Time 0.584 (0.406)	Loss 1.6369 (1.7161)	Prec@1 62.500 (54.243)	Prec@5 88.281 (84.887)
 * Prec@1 54.331 Prec@5 84.883
Epoch: [82][0/14090]	Time 5.875 (5.875)	Data 5.092 (5.092)	Loss 1.7914 (1.7914)	Prec@1 57.031 (57.031)	Prec@5 81.250 (81.250)
Epoch: [82][10/14090]	Time 0.735 (1.213)	Data 0.001 (0.464)	Loss 1.7551 (1.7250)	Prec@1 50.781 (55.540)	Prec@5 83.594 (82.457)
Epoch: [82][20/14090]	Time 0.724 (0.986)	Data 0.001 (0.243)	Loss 1.8065 (1.7705)	Prec@1 52.344 (54.464)	Prec@5 83.594 (82.440)
Epoch: [82][30/14090]	Time 0.760 (0.915)	Data 0.001 (0.165)	Loss 1.9345 (1.7894)	Prec@1 46.094 (53.125)	Prec@5 79.688 (81.779)
Epoch: [82][40/14090]	Time 0.749 (0.876)	Data 0.001 (0.125)	Loss 1.8326 (1.7939)	Prec@1 52.344 (53.354)	Prec@5 80.469 (81.745)
Epoch: [82][50/14090]	Time 0.851 (0.854)	Data 0.001 (0.101)	Loss 1.6572 (1.7880)	Prec@1 56.250 (53.186)	Prec@5 83.594 (81.909)
Epoch: [82][60/14090]	Time 0.761 (0.837)	Data 0.001 (0.084)	Loss 1.8991 (1.7811)	Prec@1 46.875 (53.317)	Prec@5 80.469 (82.031)
Epoch: [82][70/14090]	Time 0.778 (0.824)	Data 0.001 (0.073)	Loss 1.7969 (1.7783)	Prec@1 47.656 (53.345)	Prec@5 80.469 (82.141)
Epoch: [82][80/14090]	Time 0.736 (0.815)	Data 0.001 (0.064)	Loss 1.6133 (1.7790)	Prec@1 57.031 (53.405)	Prec@5 85.938 (82.282)
Epoch: [82][90/14090]	Time 0.737 (0.807)	Data 0.001 (0.057)	Loss 1.6675 (1.7731)	Prec@1 53.125 (53.589)	Prec@5 82.031 (82.297)
Epoch: [82][100/14090]	Time 0.726 (0.803)	Data 0.001 (0.051)	Loss 1.5768 (1.7654)	Prec@1 57.812 (53.666)	Prec@5 84.375 (82.410)
Epoch: [82][110/14090]	Time 0.767 (0.798)	Data 0.001 (0.047)	Loss 1.7558 (1.7673)	Prec@1 53.125 (53.674)	Prec@5 82.031 (82.285)
Epoch: [82][120/14090]	Time 0.736 (0.794)	Data 0.002 (0.043)	Loss 1.7613 (1.7646)	Prec@1 57.812 (53.751)	Prec@5 83.594 (82.341)
Epoch: [82][130/14090]	Time 0.762 (0.790)	Data 0.002 (0.040)	Loss 1.8262 (1.7634)	Prec@1 49.219 (53.674)	Prec@5 82.812 (82.359)
Epoch: [82][140/14090]	Time 0.737 (0.788)	Data 0.001 (0.037)	Loss 1.8135 (1.7682)	Prec@1 50.781 (53.502)	Prec@5 87.500 (82.414)
Epoch: [82][150/14090]	Time 0.749 (0.785)	Data 0.001 (0.035)	Loss 1.8135 (1.7654)	Prec@1 44.531 (53.472)	Prec@5 82.812 (82.481)
Epoch: [82][160/14090]	Time 0.763 (0.783)	Data 0.001 (0.033)	Loss 1.7847 (1.7608)	Prec@1 56.250 (53.567)	Prec@5 85.156 (82.555)
Epoch: [82][170/14090]	Time 0.749 (0.781)	Data 0.001 (0.031)	Loss 1.5796 (1.7619)	Prec@1 56.250 (53.536)	Prec@5 89.062 (82.593)
Epoch: [82][180/14090]	Time 0.772 (0.779)	Data 0.001 (0.029)	Loss 1.6309 (1.7633)	Prec@1 60.156 (53.513)	Prec@5 84.375 (82.605)
Epoch: [82][190/14090]	Time 0.739 (0.778)	Data 0.002 (0.028)	Loss 1.8300 (1.7642)	Prec@1 49.219 (53.452)	Prec@5 83.594 (82.620)
Epoch: [82][200/14090]	Time 0.751 (0.776)	Data 0.001 (0.026)	Loss 1.6186 (1.7700)	Prec@1 52.344 (53.308)	Prec@5 85.156 (82.509)
Epoch: [82][210/14090]	Time 0.772 (0.775)	Data 0.001 (0.025)	Loss 1.7104 (1.7726)	Prec@1 56.250 (53.269)	Prec@5 87.500 (82.494)
Epoch: [82][220/14090]	Time 0.773 (0.774)	Data 0.001 (0.024)	Loss 1.9163 (1.7692)	Prec@1 46.094 (53.288)	Prec@5 82.031 (82.533)
Epoch: [82][230/14090]	Time 0.740 (0.773)	Data 0.001 (0.023)	Loss 1.9533 (1.7691)	Prec@1 50.781 (53.240)	Prec@5 78.125 (82.511)
Epoch: [82][240/14090]	Time 0.752 (0.772)	Data 0.001 (0.022)	Loss 1.5778 (1.7695)	Prec@1 56.250 (53.225)	Prec@5 85.156 (82.488)
Epoch: [82][250/14090]	Time 0.729 (0.771)	Data 0.001 (0.021)	Loss 1.7211 (1.7697)	Prec@1 50.781 (53.237)	Prec@5 82.031 (82.476)
Epoch: [82][260/14090]	Time 0.779 (0.770)	Data 0.002 (0.020)	Loss 1.7389 (1.7705)	Prec@1 50.781 (53.239)	Prec@5 83.594 (82.492)
Epoch: [82][270/14090]	Time 0.753 (0.770)	Data 0.001 (0.020)	Loss 1.6439 (1.7701)	Prec@1 54.688 (53.157)	Prec@5 82.812 (82.527)
Epoch: [82][280/14090]	Time 0.775 (0.769)	Data 0.001 (0.019)	Loss 1.5494 (1.7688)	Prec@1 59.375 (53.200)	Prec@5 82.812 (82.504)
Epoch: [82][290/14090]	Time 0.740 (0.768)	Data 0.001 (0.018)	Loss 1.9031 (1.7688)	Prec@1 53.125 (53.144)	Prec@5 78.906 (82.501)
Epoch: [82][300/14090]	Time 0.754 (0.768)	Data 0.001 (0.018)	Loss 1.7825 (1.7674)	Prec@1 49.219 (53.172)	Prec@5 82.812 (82.556)
Epoch: [82][310/14090]	Time 0.732 (0.768)	Data 0.001 (0.017)	Loss 1.9996 (1.7710)	Prec@1 46.094 (53.055)	Prec@5 79.688 (82.519)
Epoch: [82][320/14090]	Time 0.745 (0.767)	Data 0.001 (0.017)	Loss 1.6526 (1.7734)	Prec@1 59.375 (53.006)	Prec@5 83.594 (82.494)
Epoch: [82][330/14090]	Time 0.729 (0.766)	Data 0.002 (0.016)	Loss 1.8892 (1.7731)	Prec@1 49.219 (53.024)	Prec@5 79.688 (82.480)
Epoch: [82][340/14090]	Time 0.758 (0.766)	Data 0.001 (0.016)	Loss 1.9024 (1.7748)	Prec@1 50.781 (52.983)	Prec@5 82.812 (82.446)
Epoch: [82][350/14090]	Time 0.738 (0.765)	Data 0.001 (0.015)	Loss 1.6577 (1.7745)	Prec@1 57.031 (52.967)	Prec@5 87.500 (82.483)
Epoch: [82][360/14090]	Time 0.727 (0.765)	Data 0.001 (0.015)	Loss 1.7638 (1.7761)	Prec@1 58.594 (52.941)	Prec@5 84.375 (82.442)
Epoch: [82][370/14090]	Time 0.773 (0.764)	Data 0.001 (0.015)	Loss 1.8273 (1.7762)	Prec@1 50.000 (52.952)	Prec@5 81.250 (82.442)
Epoch: [82][380/14090]	Time 0.753 (0.764)	Data 0.001 (0.014)	Loss 1.6062 (1.7745)	Prec@1 57.031 (53.008)	Prec@5 86.719 (82.448)
Epoch: [82][390/14090]	Time 0.747 (0.764)	Data 0.001 (0.014)	Loss 1.9491 (1.7753)	Prec@1 44.531 (52.989)	Prec@5 82.812 (82.449)
Epoch: [82][400/14090]	Time 0.738 (0.763)	Data 0.002 (0.014)	Loss 1.7229 (1.7747)	Prec@1 50.000 (53.010)	Prec@5 85.156 (82.456)
Epoch: [82][410/14090]	Time 0.779 (0.763)	Data 0.001 (0.013)	Loss 1.6131 (1.7751)	Prec@1 54.688 (53.055)	Prec@5 84.375 (82.446)
Epoch: [82][420/14090]	Time 0.781 (0.763)	Data 0.001 (0.013)	Loss 1.6266 (1.7760)	Prec@1 60.938 (53.036)	Prec@5 78.906 (82.430)
Epoch: [82][430/14090]	Time 0.762 (0.763)	Data 0.001 (0.013)	Loss 1.8621 (1.7764)	Prec@1 56.250 (53.034)	Prec@5 82.031 (82.432)
Epoch: [82][440/14090]	Time 0.728 (0.762)	Data 0.001 (0.012)	Loss 1.8664 (1.7759)	Prec@1 51.562 (53.038)	Prec@5 80.469 (82.449)
Epoch: [82][450/14090]	Time 0.768 (0.762)	Data 0.001 (0.012)	Loss 1.8618 (1.7769)	Prec@1 48.438 (53.009)	Prec@5 81.250 (82.418)
Epoch: [82][460/14090]	Time 0.765 (0.762)	Data 0.001 (0.012)	Loss 1.7882 (1.7772)	Prec@1 50.781 (53.010)	Prec@5 86.719 (82.436)
Epoch: [82][470/14090]	Time 0.747 (0.762)	Data 0.002 (0.012)	Loss 1.5903 (1.7751)	Prec@1 60.938 (53.050)	Prec@5 85.938 (82.466)
Epoch: [82][480/14090]	Time 0.744 (0.761)	Data 0.001 (0.012)	Loss 1.9085 (1.7758)	Prec@1 50.781 (53.070)	Prec@5 81.250 (82.470)
Epoch: [82][490/14090]	Time 0.741 (0.761)	Data 0.001 (0.011)	Loss 1.5446 (1.7758)	Prec@1 57.031 (53.077)	Prec@5 84.375 (82.458)
Epoch: [82][500/14090]	Time 0.744 (0.761)	Data 0.001 (0.011)	Loss 1.9070 (1.7757)	Prec@1 50.000 (53.070)	Prec@5 81.250 (82.468)
Epoch: [82][510/14090]	Time 0.765 (0.761)	Data 0.001 (0.011)	Loss 1.7913 (1.7765)	Prec@1 51.562 (53.020)	Prec@5 78.125 (82.455)
Epoch: [82][520/14090]	Time 0.731 (0.761)	Data 0.001 (0.011)	Loss 2.0182 (1.7772)	Prec@1 48.438 (53.001)	Prec@5 78.906 (82.451)
Epoch: [82][530/14090]	Time 0.742 (0.760)	Data 0.001 (0.011)	Loss 1.6648 (1.7757)	Prec@1 57.812 (53.051)	Prec@5 84.375 (82.487)
Epoch: [82][540/14090]	Time 0.720 (0.760)	Data 0.002 (0.010)	Loss 1.8619 (1.7754)	Prec@1 53.125 (53.038)	Prec@5 77.344 (82.486)
Epoch: [82][550/14090]	Time 0.748 (0.760)	Data 0.001 (0.010)	Loss 1.4977 (1.7755)	Prec@1 58.594 (53.019)	Prec@5 89.062 (82.461)
Epoch: [82][560/14090]	Time 0.773 (0.760)	Data 0.001 (0.010)	Loss 2.0765 (1.7767)	Prec@1 47.656 (52.984)	Prec@5 78.125 (82.445)
Epoch: [82][570/14090]	Time 0.746 (0.760)	Data 0.001 (0.010)	Loss 1.8754 (1.7760)	Prec@1 49.219 (53.009)	Prec@5 75.000 (82.449)
Epoch: [82][580/14090]	Time 0.751 (0.760)	Data 0.001 (0.010)	Loss 1.6773 (1.7745)	Prec@1 53.906 (53.058)	Prec@5 87.500 (82.491)
Epoch: [82][590/14090]	Time 0.740 (0.760)	Data 0.001 (0.010)	Loss 1.8672 (1.7758)	Prec@1 53.125 (53.014)	Prec@5 78.906 (82.465)
Epoch: [82][600/14090]	Time 0.774 (0.759)	Data 0.001 (0.009)	Loss 1.7220 (1.7773)	Prec@1 56.250 (53.015)	Prec@5 82.031 (82.433)
Epoch: [82][610/14090]	Time 0.736 (0.759)	Data 0.002 (0.009)	Loss 1.7432 (1.7767)	Prec@1 53.125 (53.025)	Prec@5 85.156 (82.440)
Epoch: [82][620/14090]	Time 0.769 (0.759)	Data 0.001 (0.009)	Loss 1.8011 (1.7766)	Prec@1 50.781 (53.018)	Prec@5 82.031 (82.453)
Epoch: [82][630/14090]	Time 0.759 (0.759)	Data 0.001 (0.009)	Loss 1.6755 (1.7763)	Prec@1 51.562 (53.033)	Prec@5 86.719 (82.472)
Epoch: [82][640/14090]	Time 0.737 (0.759)	Data 0.001 (0.009)	Loss 1.9098 (1.7765)	Prec@1 48.438 (53.029)	Prec@5 80.469 (82.466)
Epoch: [82][650/14090]	Time 0.766 (0.759)	Data 0.001 (0.009)	Loss 1.9136 (1.7775)	Prec@1 52.344 (53.023)	Prec@5 79.688 (82.450)
Epoch: [82][660/14090]	Time 0.776 (0.759)	Data 0.001 (0.009)	Loss 2.1555 (1.7769)	Prec@1 46.094 (53.059)	Prec@5 71.875 (82.463)
Epoch: [82][670/14090]	Time 0.740 (0.759)	Data 0.001 (0.009)	Loss 1.7728 (1.7775)	Prec@1 53.906 (53.021)	Prec@5 78.125 (82.463)
Epoch: [82][680/14090]	Time 0.738 (0.758)	Data 0.002 (0.008)	Loss 1.8226 (1.7771)	Prec@1 53.125 (53.049)	Prec@5 78.125 (82.479)
Epoch: [82][690/14090]	Time 0.739 (0.758)	Data 0.001 (0.008)	Loss 2.0477 (1.7777)	Prec@1 43.750 (53.032)	Prec@5 78.906 (82.474)
Epoch: [82][700/14090]	Time 0.745 (0.758)	Data 0.001 (0.008)	Loss 1.7283 (1.7778)	Prec@1 50.781 (53.041)	Prec@5 85.938 (82.446)
Epoch: [82][710/14090]	Time 0.765 (0.758)	Data 0.001 (0.008)	Loss 1.8113 (1.7774)	Prec@1 48.438 (53.063)	Prec@5 85.156 (82.454)
Epoch: [82][720/14090]	Time 0.782 (0.758)	Data 0.001 (0.008)	Loss 1.5725 (1.7765)	Prec@1 66.406 (53.098)	Prec@5 86.719 (82.473)
Epoch: [82][730/14090]	Time 0.744 (0.758)	Data 0.001 (0.008)	Loss 1.5140 (1.7764)	Prec@1 58.594 (53.097)	Prec@5 89.062 (82.490)
Epoch: [82][740/14090]	Time 0.738 (0.758)	Data 0.001 (0.008)	Loss 1.8347 (1.7764)	Prec@1 53.906 (53.108)	Prec@5 78.906 (82.485)
Epoch: [82][750/14090]	Time 0.763 (0.758)	Data 0.002 (0.008)	Loss 2.0091 (1.7761)	Prec@1 50.781 (53.113)	Prec@5 78.906 (82.484)
Epoch: [82][760/14090]	Time 0.751 (0.758)	Data 0.001 (0.008)	Loss 1.8115 (1.7753)	Prec@1 48.438 (53.140)	Prec@5 79.688 (82.489)
Epoch: [82][770/14090]	Time 0.737 (0.758)	Data 0.001 (0.008)	Loss 1.8799 (1.7755)	Prec@1 47.656 (53.113)	Prec@5 85.156 (82.490)
Epoch: [82][780/14090]	Time 0.752 (0.757)	Data 0.001 (0.007)	Loss 1.4746 (1.7750)	Prec@1 66.406 (53.144)	Prec@5 87.500 (82.498)
Epoch: [82][790/14090]	Time 0.734 (0.757)	Data 0.001 (0.007)	Loss 2.2119 (1.7749)	Prec@1 47.656 (53.154)	Prec@5 69.531 (82.493)
Epoch: [82][800/14090]	Time 0.741 (0.757)	Data 0.001 (0.007)	Loss 1.8139 (1.7751)	Prec@1 53.906 (53.147)	Prec@5 81.250 (82.501)
Epoch: [82][810/14090]	Time 0.762 (0.757)	Data 0.001 (0.007)	Loss 1.5412 (1.7748)	Prec@1 65.625 (53.152)	Prec@5 82.812 (82.518)
Epoch: [82][820/14090]	Time 0.748 (0.757)	Data 0.002 (0.007)	Loss 1.7355 (1.7750)	Prec@1 52.344 (53.152)	Prec@5 82.812 (82.510)
Epoch: [82][830/14090]	Time 0.742 (0.757)	Data 0.001 (0.007)	Loss 1.6692 (1.7743)	Prec@1 53.125 (53.183)	Prec@5 85.156 (82.514)
Epoch: [82][840/14090]	Time 0.747 (0.757)	Data 0.001 (0.007)	Loss 1.8257 (1.7737)	Prec@1 46.094 (53.201)	Prec@5 80.469 (82.526)
Epoch: [82][850/14090]	Time 0.751 (0.757)	Data 0.001 (0.007)	Loss 1.7091 (1.7738)	Prec@1 51.562 (53.186)	Prec@5 85.938 (82.528)
Epoch: [82][860/14090]	Time 0.726 (0.757)	Data 0.001 (0.007)	Loss 1.9998 (1.7741)	Prec@1 44.531 (53.181)	Prec@5 78.125 (82.522)
Epoch: [82][870/14090]	Time 0.737 (0.757)	Data 0.001 (0.007)	Loss 1.7831 (1.7732)	Prec@1 56.250 (53.214)	Prec@5 82.031 (82.545)
Epoch: [82][880/14090]	Time 0.733 (0.757)	Data 0.001 (0.007)	Loss 2.0642 (1.7746)	Prec@1 46.875 (53.187)	Prec@5 74.219 (82.515)
Epoch: [82][890/14090]	Time 0.744 (0.757)	Data 0.002 (0.007)	Loss 1.7358 (1.7742)	Prec@1 50.781 (53.192)	Prec@5 82.031 (82.524)
Epoch: [82][900/14090]	Time 0.756 (0.757)	Data 0.001 (0.007)	Loss 1.8673 (1.7742)	Prec@1 49.219 (53.190)	Prec@5 77.344 (82.506)
Epoch: [82][910/14090]	Time 0.749 (0.757)	Data 0.001 (0.007)	Loss 1.4895 (1.7739)	Prec@1 60.938 (53.201)	Prec@5 86.719 (82.511)
Epoch: [82][920/14090]	Time 0.727 (0.756)	Data 0.001 (0.006)	Loss 1.9292 (1.7744)	Prec@1 51.562 (53.197)	Prec@5 82.812 (82.499)
Epoch: [82][930/14090]	Time 0.786 (0.756)	Data 0.001 (0.006)	Loss 1.7674 (1.7743)	Prec@1 51.562 (53.185)	Prec@5 85.156 (82.509)
Epoch: [82][940/14090]	Time 0.761 (0.756)	Data 0.001 (0.006)	Loss 1.7333 (1.7750)	Prec@1 53.906 (53.181)	Prec@5 84.375 (82.489)
Epoch: [82][950/14090]	Time 0.745 (0.756)	Data 0.001 (0.006)	Loss 1.7216 (1.7754)	Prec@1 53.906 (53.164)	Prec@5 82.031 (82.479)
Epoch: [82][960/14090]	Time 0.765 (0.756)	Data 0.003 (0.006)	Loss 1.8654 (1.7761)	Prec@1 46.875 (53.145)	Prec@5 85.938 (82.470)
Epoch: [82][970/14090]	Time 0.751 (0.756)	Data 0.001 (0.006)	Loss 1.6563 (1.7760)	Prec@1 51.562 (53.130)	Prec@5 82.031 (82.484)
Epoch: [82][980/14090]	Time 0.746 (0.756)	Data 0.001 (0.006)	Loss 1.7048 (1.7750)	Prec@1 51.562 (53.139)	Prec@5 84.375 (82.501)
Epoch: [82][990/14090]	Time 0.775 (0.756)	Data 0.001 (0.006)	Loss 1.8414 (1.7742)	Prec@1 52.344 (53.157)	Prec@5 80.469 (82.503)
Epoch: [82][1000/14090]	Time 0.747 (0.756)	Data 0.001 (0.006)	Loss 1.5789 (1.7745)	Prec@1 59.375 (53.172)	Prec@5 87.500 (82.492)
Epoch: [82][1010/14090]	Time 0.740 (0.756)	Data 0.001 (0.006)	Loss 1.8150 (1.7746)	Prec@1 53.906 (53.188)	Prec@5 81.250 (82.493)
Epoch: [82][1020/14090]	Time 0.751 (0.756)	Data 0.001 (0.006)	Loss 2.1196 (1.7749)	Prec@1 50.000 (53.192)	Prec@5 75.000 (82.496)
Epoch: [82][1030/14090]	Time 0.749 (0.756)	Data 0.002 (0.006)	Loss 1.7088 (1.7756)	Prec@1 57.031 (53.176)	Prec@5 84.375 (82.484)
Epoch: [82][1040/14090]	Time 0.727 (0.756)	Data 0.001 (0.006)	Loss 1.6268 (1.7756)	Prec@1 61.719 (53.190)	Prec@5 87.500 (82.494)
Epoch: [82][1050/14090]	Time 0.781 (0.755)	Data 0.001 (0.006)	Loss 1.9118 (1.7760)	Prec@1 49.219 (53.173)	Prec@5 81.250 (82.497)
Epoch: [82][1060/14090]	Time 0.751 (0.755)	Data 0.001 (0.006)	Loss 1.5335 (1.7764)	Prec@1 63.281 (53.173)	Prec@5 86.719 (82.490)
Epoch: [82][1070/14090]	Time 0.722 (0.755)	Data 0.001 (0.006)	Loss 1.4843 (1.7762)	Prec@1 60.156 (53.175)	Prec@5 88.281 (82.502)
Epoch: [82][1080/14090]	Time 0.740 (0.755)	Data 0.001 (0.006)	Loss 1.6486 (1.7758)	Prec@1 55.469 (53.184)	Prec@5 87.500 (82.510)
Epoch: [82][1090/14090]	Time 0.728 (0.755)	Data 0.001 (0.006)	Loss 1.7292 (1.7762)	Prec@1 53.125 (53.167)	Prec@5 83.594 (82.500)
Epoch: [82][1100/14090]	Time 0.737 (0.755)	Data 0.002 (0.006)	Loss 1.6167 (1.7761)	Prec@1 57.812 (53.176)	Prec@5 85.156 (82.493)
Epoch: [82][1110/14090]	Time 0.724 (0.755)	Data 0.001 (0.006)	Loss 1.6803 (1.7761)	Prec@1 56.250 (53.180)	Prec@5 85.938 (82.488)
Epoch: [82][1120/14090]	Time 0.749 (0.755)	Data 0.001 (0.006)	Loss 1.7661 (1.7764)	Prec@1 56.250 (53.175)	Prec@5 81.250 (82.485)
Epoch: [82][1130/14090]	Time 0.727 (0.755)	Data 0.001 (0.005)	Loss 1.7140 (1.7762)	Prec@1 50.000 (53.178)	Prec@5 85.156 (82.491)
Epoch: [82][1140/14090]	Time 0.726 (0.755)	Data 0.001 (0.005)	Loss 1.8564 (1.7766)	Prec@1 47.656 (53.163)	Prec@5 83.594 (82.481)
Epoch: [82][1150/14090]	Time 0.749 (0.755)	Data 0.001 (0.005)	Loss 1.7729 (1.7760)	Prec@1 50.000 (53.165)	Prec@5 82.031 (82.493)
Epoch: [82][1160/14090]	Time 0.740 (0.755)	Data 0.001 (0.005)	Loss 1.9688 (1.7759)	Prec@1 46.094 (53.166)	Prec@5 78.125 (82.502)
Epoch: [82][1170/14090]	Time 0.726 (0.755)	Data 0.002 (0.005)	Loss 1.7243 (1.7761)	Prec@1 55.469 (53.152)	Prec@5 82.812 (82.498)
Epoch: [82][1180/14090]	Time 0.735 (0.755)	Data 0.001 (0.005)	Loss 1.7305 (1.7755)	Prec@1 54.688 (53.161)	Prec@5 84.375 (82.510)
Epoch: [82][1190/14090]	Time 0.749 (0.755)	Data 0.001 (0.005)	Loss 1.8248 (1.7754)	Prec@1 56.250 (53.163)	Prec@5 83.594 (82.523)
Epoch: [82][1200/14090]	Time 0.730 (0.755)	Data 0.001 (0.005)	Loss 1.7992 (1.7756)	Prec@1 51.562 (53.171)	Prec@5 80.469 (82.521)
Epoch: [82][1210/14090]	Time 0.763 (0.755)	Data 0.001 (0.005)	Loss 1.7567 (1.7747)	Prec@1 56.250 (53.185)	Prec@5 82.031 (82.536)
Epoch: [82][1220/14090]	Time 0.738 (0.755)	Data 0.001 (0.005)	Loss 1.8884 (1.7750)	Prec@1 46.875 (53.182)	Prec@5 81.250 (82.542)
Epoch: [82][1230/14090]	Time 0.748 (0.755)	Data 0.001 (0.005)	Loss 2.0005 (1.7755)	Prec@1 50.000 (53.176)	Prec@5 78.906 (82.531)
Epoch: [82][1240/14090]	Time 0.744 (0.755)	Data 0.002 (0.005)	Loss 1.6686 (1.7760)	Prec@1 52.344 (53.152)	Prec@5 86.719 (82.521)
Epoch: [82][1250/14090]	Time 0.778 (0.755)	Data 0.001 (0.005)	Loss 1.8407 (1.7755)	Prec@1 53.125 (53.164)	Prec@5 75.781 (82.528)
Epoch: [82][1260/14090]	Time 0.747 (0.755)	Data 0.001 (0.005)	Loss 1.9753 (1.7754)	Prec@1 45.312 (53.164)	Prec@5 81.250 (82.527)
Epoch: [82][1270/14090]	Time 0.779 (0.755)	Data 0.001 (0.005)	Loss 1.4716 (1.7758)	Prec@1 60.156 (53.167)	Prec@5 89.062 (82.514)
Epoch: [82][1280/14090]	Time 0.756 (0.755)	Data 0.001 (0.005)	Loss 1.7956 (1.7762)	Prec@1 50.781 (53.151)	Prec@5 81.250 (82.514)
Epoch: [82][1290/14090]	Time 0.734 (0.755)	Data 0.001 (0.005)	Loss 1.6483 (1.7765)	Prec@1 53.906 (53.139)	Prec@5 83.594 (82.499)
Epoch: [82][1300/14090]	Time 0.745 (0.755)	Data 0.001 (0.005)	Loss 1.7725 (1.7767)	Prec@1 53.125 (53.147)	Prec@5 82.812 (82.495)
Epoch: [82][1310/14090]	Time 0.765 (0.755)	Data 0.002 (0.005)	Loss 1.6614 (1.7769)	Prec@1 55.469 (53.143)	Prec@5 85.938 (82.500)
Epoch: [82][1320/14090]	Time 0.788 (0.755)	Data 0.001 (0.005)	Loss 1.6146 (1.7779)	Prec@1 60.156 (53.126)	Prec@5 88.281 (82.492)
Epoch: [82][1330/14090]	Time 0.746 (0.754)	Data 0.001 (0.005)	Loss 1.7297 (1.7777)	Prec@1 54.688 (53.130)	Prec@5 81.250 (82.492)
Epoch: [82][1340/14090]	Time 0.775 (0.754)	Data 0.001 (0.005)	Loss 1.7768 (1.7785)	Prec@1 56.250 (53.103)	Prec@5 82.031 (82.479)
Epoch: [82][1350/14090]	Time 0.756 (0.754)	Data 0.001 (0.005)	Loss 2.0336 (1.7792)	Prec@1 50.781 (53.087)	Prec@5 77.344 (82.461)
Epoch: [82][1360/14090]	Time 0.740 (0.754)	Data 0.001 (0.005)	Loss 1.7009 (1.7797)	Prec@1 57.031 (53.080)	Prec@5 85.156 (82.450)
Epoch: [82][1370/14090]	Time 0.762 (0.754)	Data 0.001 (0.005)	Loss 1.6260 (1.7793)	Prec@1 53.906 (53.094)	Prec@5 85.156 (82.457)
Epoch: [82][1380/14090]	Time 0.776 (0.754)	Data 0.002 (0.005)	Loss 1.8910 (1.7786)	Prec@1 49.219 (53.100)	Prec@5 84.375 (82.483)
Epoch: [82][1390/14090]	Time 0.738 (0.754)	Data 0.001 (0.005)	Loss 1.6665 (1.7788)	Prec@1 53.125 (53.100)	Prec@5 82.812 (82.479)
Epoch: [82][1400/14090]	Time 0.750 (0.754)	Data 0.001 (0.005)	Loss 1.6399 (1.7787)	Prec@1 53.906 (53.090)	Prec@5 84.375 (82.481)
Epoch: [82][1410/14090]	Time 0.736 (0.754)	Data 0.001 (0.005)	Loss 1.6582 (1.7785)	Prec@1 64.844 (53.095)	Prec@5 84.375 (82.485)
Epoch: [82][1420/14090]	Time 0.744 (0.754)	Data 0.001 (0.005)	Loss 1.9002 (1.7783)	Prec@1 51.562 (53.102)	Prec@5 75.781 (82.484)
Epoch: [82][1430/14090]	Time 0.727 (0.754)	Data 0.001 (0.005)	Loss 1.7731 (1.7785)	Prec@1 52.344 (53.098)	Prec@5 82.031 (82.479)
Epoch: [82][1440/14090]	Time 0.753 (0.754)	Data 0.001 (0.004)	Loss 1.5980 (1.7787)	Prec@1 53.906 (53.090)	Prec@5 86.719 (82.474)
Epoch: [82][1450/14090]	Time 0.746 (0.754)	Data 0.002 (0.004)	Loss 1.7403 (1.7788)	Prec@1 50.781 (53.082)	Prec@5 82.812 (82.471)
Epoch: [82][1460/14090]	Time 0.726 (0.754)	Data 0.001 (0.004)	Loss 1.5704 (1.7787)	Prec@1 57.031 (53.090)	Prec@5 85.938 (82.473)
Epoch: [82][1470/14090]	Time 0.732 (0.754)	Data 0.001 (0.004)	Loss 2.0213 (1.7788)	Prec@1 53.125 (53.102)	Prec@5 78.125 (82.475)
Epoch: [82][1480/14090]	Time 0.782 (0.754)	Data 0.001 (0.004)	Loss 2.1864 (1.7793)	Prec@1 43.750 (53.095)	Prec@5 73.438 (82.456)
Epoch: [82][1490/14090]	Time 0.728 (0.754)	Data 0.001 (0.004)	Loss 1.8784 (1.7795)	Prec@1 53.906 (53.091)	Prec@5 82.031 (82.450)
Epoch: [82][1500/14090]	Time 0.784 (0.754)	Data 0.001 (0.004)	Loss 1.8927 (1.7799)	Prec@1 50.781 (53.083)	Prec@5 79.688 (82.451)
Epoch: [82][1510/14090]	Time 0.726 (0.754)	Data 0.001 (0.004)	Loss 1.7744 (1.7799)	Prec@1 53.125 (53.088)	Prec@5 85.938 (82.450)
Epoch: [82][1520/14090]	Time 0.739 (0.754)	Data 0.002 (0.004)	Loss 1.8956 (1.7805)	Prec@1 51.562 (53.089)	Prec@5 78.906 (82.441)
Epoch: [82][1530/14090]	Time 0.751 (0.754)	Data 0.001 (0.004)	Loss 1.8397 (1.7807)	Prec@1 52.344 (53.086)	Prec@5 82.031 (82.438)
Epoch: [82][1540/14090]	Time 0.780 (0.754)	Data 0.001 (0.004)	Loss 2.2777 (1.7810)	Prec@1 46.875 (53.088)	Prec@5 75.000 (82.433)
Epoch: [82][1550/14090]	Time 0.744 (0.754)	Data 0.001 (0.004)	Loss 1.7073 (1.7810)	Prec@1 55.469 (53.083)	Prec@5 82.812 (82.429)
Epoch: [82][1560/14090]	Time 0.752 (0.754)	Data 0.001 (0.004)	Loss 1.5754 (1.7813)	Prec@1 60.156 (53.074)	Prec@5 85.938 (82.421)
Epoch: [82][1570/14090]	Time 0.737 (0.754)	Data 0.001 (0.004)	Loss 1.7755 (1.7816)	Prec@1 55.469 (53.072)	Prec@5 78.906 (82.422)
Epoch: [82][1580/14090]	Time 0.747 (0.754)	Data 0.001 (0.004)	Loss 2.0494 (1.7819)	Prec@1 42.969 (53.061)	Prec@5 78.125 (82.417)
Epoch: [82][1590/14090]	Time 0.769 (0.754)	Data 0.002 (0.004)	Loss 1.8307 (1.7819)	Prec@1 50.000 (53.067)	Prec@5 81.250 (82.416)
Epoch: [82][1600/14090]	Time 0.770 (0.754)	Data 0.001 (0.004)	Loss 1.8639 (1.7816)	Prec@1 46.875 (53.081)	Prec@5 81.250 (82.420)
Epoch: [82][1610/14090]	Time 0.739 (0.754)	Data 0.001 (0.004)	Loss 2.0499 (1.7818)	Prec@1 48.438 (53.073)	Prec@5 75.000 (82.412)
Epoch: [82][1620/14090]	Time 0.729 (0.754)	Data 0.001 (0.004)	Loss 2.1074 (1.7819)	Prec@1 47.656 (53.070)	Prec@5 76.562 (82.408)
Epoch: [82][1630/14090]	Time 0.765 (0.754)	Data 0.001 (0.004)	Loss 1.7913 (1.7819)	Prec@1 60.938 (53.070)	Prec@5 82.031 (82.406)
Epoch: [82][1640/14090]	Time 0.740 (0.754)	Data 0.001 (0.004)	Loss 1.8592 (1.7816)	Prec@1 46.875 (53.070)	Prec@5 81.250 (82.407)
Epoch: [82][1650/14090]	Time 0.782 (0.754)	Data 0.001 (0.004)	Loss 1.8563 (1.7811)	Prec@1 50.000 (53.074)	Prec@5 77.344 (82.410)
Epoch: [82][1660/14090]	Time 0.739 (0.754)	Data 0.002 (0.004)	Loss 1.7460 (1.7811)	Prec@1 53.906 (53.073)	Prec@5 84.375 (82.413)
Epoch: [82][1670/14090]	Time 0.769 (0.754)	Data 0.001 (0.004)	Loss 1.9349 (1.7814)	Prec@1 55.469 (53.075)	Prec@5 75.781 (82.406)
Epoch: [82][1680/14090]	Time 0.737 (0.754)	Data 0.001 (0.004)	Loss 1.8126 (1.7814)	Prec@1 54.688 (53.085)	Prec@5 82.812 (82.410)
Epoch: [82][1690/14090]	Time 0.785 (0.754)	Data 0.001 (0.004)	Loss 1.9156 (1.7817)	Prec@1 45.312 (53.076)	Prec@5 76.562 (82.399)
Epoch: [82][1700/14090]	Time 0.730 (0.753)	Data 0.001 (0.004)	Loss 1.8059 (1.7815)	Prec@1 57.031 (53.087)	Prec@5 79.688 (82.398)
Epoch: [82][1710/14090]	Time 0.749 (0.753)	Data 0.001 (0.004)	Loss 2.1063 (1.7817)	Prec@1 43.750 (53.077)	Prec@5 81.250 (82.397)
Epoch: [82][1720/14090]	Time 0.768 (0.753)	Data 0.001 (0.004)	Loss 1.8945 (1.7816)	Prec@1 50.781 (53.084)	Prec@5 74.219 (82.400)
Epoch: [82][1730/14090]	Time 0.763 (0.753)	Data 0.003 (0.004)	Loss 1.7196 (1.7814)	Prec@1 58.594 (53.093)	Prec@5 82.031 (82.399)
Epoch: [82][1740/14090]	Time 0.736 (0.753)	Data 0.001 (0.004)	Loss 2.0404 (1.7815)	Prec@1 42.188 (53.086)	Prec@5 78.906 (82.396)
Epoch: [82][1750/14090]	Time 0.736 (0.753)	Data 0.001 (0.004)	Loss 1.6999 (1.7819)	Prec@1 57.031 (53.078)	Prec@5 86.719 (82.389)
Epoch: [82][1760/14090]	Time 0.738 (0.753)	Data 0.001 (0.004)	Loss 1.7972 (1.7817)	Prec@1 53.906 (53.089)	Prec@5 82.031 (82.384)
Epoch: [82][1770/14090]	Time 0.739 (0.753)	Data 0.001 (0.004)	Loss 1.7176 (1.7818)	Prec@1 55.469 (53.087)	Prec@5 89.062 (82.386)
Epoch: [82][1780/14090]	Time 0.773 (0.753)	Data 0.001 (0.004)	Loss 1.7562 (1.7820)	Prec@1 51.562 (53.079)	Prec@5 82.812 (82.377)
Epoch: [82][1790/14090]	Time 0.781 (0.753)	Data 0.001 (0.004)	Loss 1.7054 (1.7824)	Prec@1 57.031 (53.070)	Prec@5 82.031 (82.374)
Epoch: [82][1800/14090]	Time 0.748 (0.753)	Data 0.002 (0.004)	Loss 1.6253 (1.7826)	Prec@1 54.688 (53.060)	Prec@5 84.375 (82.370)
Epoch: [82][1810/14090]	Time 0.758 (0.753)	Data 0.001 (0.004)	Loss 1.8154 (1.7827)	Prec@1 53.906 (53.060)	Prec@5 82.031 (82.368)
Epoch: [82][1820/14090]	Time 0.763 (0.753)	Data 0.001 (0.004)	Loss 1.5741 (1.7826)	Prec@1 56.250 (53.056)	Prec@5 88.281 (82.375)
Epoch: [82][1830/14090]	Time 0.752 (0.753)	Data 0.001 (0.004)	Loss 1.5752 (1.7826)	Prec@1 60.938 (53.062)	Prec@5 86.719 (82.373)
Epoch: [82][1840/14090]	Time 0.766 (0.753)	Data 0.001 (0.004)	Loss 1.5272 (1.7825)	Prec@1 57.031 (53.058)	Prec@5 87.500 (82.376)
Epoch: [82][1850/14090]	Time 0.743 (0.753)	Data 0.002 (0.004)	Loss 1.5181 (1.7821)	Prec@1 60.156 (53.067)	Prec@5 89.844 (82.382)
Epoch: [82][1860/14090]	Time 0.743 (0.753)	Data 0.001 (0.004)	Loss 1.7375 (1.7823)	Prec@1 51.562 (53.057)	Prec@5 82.031 (82.377)
Epoch: [82][1870/14090]	Time 0.761 (0.753)	Data 0.002 (0.004)	Loss 1.9845 (1.7828)	Prec@1 50.781 (53.049)	Prec@5 78.125 (82.369)
Epoch: [82][1880/14090]	Time 0.739 (0.753)	Data 0.001 (0.004)	Loss 1.5640 (1.7828)	Prec@1 58.594 (53.045)	Prec@5 85.156 (82.367)
Epoch: [82][1890/14090]	Time 0.747 (0.753)	Data 0.001 (0.004)	Loss 1.6604 (1.7828)	Prec@1 50.781 (53.042)	Prec@5 85.156 (82.365)
Epoch: [82][1900/14090]	Time 0.781 (0.753)	Data 0.001 (0.004)	Loss 1.7656 (1.7827)	Prec@1 46.094 (53.046)	Prec@5 86.719 (82.361)
Epoch: [82][1910/14090]	Time 0.751 (0.753)	Data 0.001 (0.004)	Loss 1.9108 (1.7833)	Prec@1 49.219 (53.032)	Prec@5 77.344 (82.353)
Epoch: [82][1920/14090]	Time 0.781 (0.753)	Data 0.001 (0.004)	Loss 2.0132 (1.7834)	Prec@1 48.438 (53.031)	Prec@5 78.125 (82.345)
Epoch: [82][1930/14090]	Time 0.724 (0.753)	Data 0.001 (0.004)	Loss 1.5385 (1.7835)	Prec@1 60.156 (53.028)	Prec@5 82.812 (82.348)
Epoch: [82][1940/14090]	Time 0.772 (0.753)	Data 0.002 (0.004)	Loss 1.9278 (1.7840)	Prec@1 50.781 (53.015)	Prec@5 80.469 (82.341)
Epoch: [82][1950/14090]	Time 0.761 (0.753)	Data 0.001 (0.004)	Loss 1.9839 (1.7837)	Prec@1 54.688 (53.022)	Prec@5 77.344 (82.343)
Epoch: [82][1960/14090]	Time 0.747 (0.753)	Data 0.001 (0.004)	Loss 1.8389 (1.7839)	Prec@1 50.000 (53.013)	Prec@5 80.469 (82.340)
Epoch: [82][1970/14090]	Time 0.738 (0.753)	Data 0.001 (0.004)	Loss 1.6601 (1.7841)	Prec@1 53.125 (53.018)	Prec@5 84.375 (82.332)
Epoch: [82][1980/14090]	Time 0.736 (0.753)	Data 0.001 (0.004)	Loss 1.9174 (1.7844)	Prec@1 53.125 (53.014)	Prec@5 83.594 (82.329)
Epoch: [82][1990/14090]	Time 0.749 (0.753)	Data 0.001 (0.004)	Loss 1.4577 (1.7839)	Prec@1 58.594 (53.021)	Prec@5 90.625 (82.341)
Epoch: [82][2000/14090]	Time 0.744 (0.753)	Data 0.001 (0.004)	Loss 1.6878 (1.7834)	Prec@1 55.469 (53.032)	Prec@5 81.250 (82.351)
Epoch: [82][2010/14090]	Time 0.727 (0.753)	Data 0.002 (0.003)	Loss 1.9901 (1.7835)	Prec@1 50.781 (53.037)	Prec@5 78.906 (82.349)
Epoch: [82][2020/14090]	Time 0.773 (0.753)	Data 0.001 (0.003)	Loss 1.9313 (1.7838)	Prec@1 48.438 (53.030)	Prec@5 82.812 (82.343)
Epoch: [82][2030/14090]	Time 0.781 (0.753)	Data 0.001 (0.003)	Loss 1.8260 (1.7842)	Prec@1 50.781 (53.023)	Prec@5 86.719 (82.335)
Epoch: [82][2040/14090]	Time 0.752 (0.753)	Data 0.001 (0.003)	Loss 1.9260 (1.7844)	Prec@1 55.469 (53.019)	Prec@5 82.812 (82.335)
Epoch: [82][2050/14090]	Time 0.729 (0.753)	Data 0.001 (0.003)	Loss 2.2082 (1.7847)	Prec@1 43.750 (53.011)	Prec@5 73.438 (82.324)
Epoch: [82][2060/14090]	Time 0.781 (0.753)	Data 0.001 (0.003)	Loss 1.9779 (1.7849)	Prec@1 46.875 (53.006)	Prec@5 78.906 (82.320)
Epoch: [82][2070/14090]	Time 0.726 (0.753)	Data 0.001 (0.003)	Loss 1.7612 (1.7851)	Prec@1 53.125 (53.004)	Prec@5 85.156 (82.320)
Epoch: [82][2080/14090]	Time 0.753 (0.753)	Data 0.002 (0.003)	Loss 1.6723 (1.7852)	Prec@1 53.906 (53.009)	Prec@5 83.594 (82.315)
Epoch: [82][2090/14090]	Time 0.730 (0.753)	Data 0.001 (0.003)	Loss 1.8987 (1.7853)	Prec@1 48.438 (53.008)	Prec@5 82.812 (82.318)
Epoch: [82][2100/14090]	Time 0.753 (0.753)	Data 0.001 (0.003)	Loss 1.9885 (1.7852)	Prec@1 52.344 (53.014)	Prec@5 78.125 (82.317)
Epoch: [82][2110/14090]	Time 0.729 (0.753)	Data 0.001 (0.003)	Loss 1.8291 (1.7850)	Prec@1 54.688 (53.011)	Prec@5 82.031 (82.315)
Epoch: [82][2120/14090]	Time 0.738 (0.753)	Data 0.001 (0.003)	Loss 1.8805 (1.7854)	Prec@1 51.562 (53.008)	Prec@5 81.250 (82.306)
Epoch: [82][2130/14090]	Time 0.771 (0.753)	Data 0.001 (0.003)	Loss 1.9118 (1.7854)	Prec@1 50.000 (53.016)	Prec@5 79.688 (82.310)
Epoch: [82][2140/14090]	Time 0.760 (0.753)	Data 0.001 (0.003)	Loss 1.7882 (1.7857)	Prec@1 50.000 (53.004)	Prec@5 82.031 (82.301)
Epoch: [82][2150/14090]	Time 0.736 (0.753)	Data 0.002 (0.003)	Loss 1.7384 (1.7857)	Prec@1 55.469 (53.011)	Prec@5 82.812 (82.301)
Epoch: [82][2160/14090]	Time 0.739 (0.753)	Data 0.001 (0.003)	Loss 1.9077 (1.7858)	Prec@1 50.781 (53.012)	Prec@5 82.031 (82.296)
Epoch: [82][2170/14090]	Time 0.755 (0.753)	Data 0.001 (0.003)	Loss 2.0734 (1.7852)	Prec@1 45.312 (53.026)	Prec@5 78.906 (82.305)
Epoch: [82][2180/14090]	Time 0.737 (0.753)	Data 0.001 (0.003)	Loss 1.7322 (1.7852)	Prec@1 51.562 (53.019)	Prec@5 84.375 (82.309)
Epoch: [82][2190/14090]	Time 0.748 (0.753)	Data 0.001 (0.003)	Loss 1.8127 (1.7850)	Prec@1 53.125 (53.027)	Prec@5 80.469 (82.312)
Epoch: [82][2200/14090]	Time 0.732 (0.752)	Data 0.001 (0.003)	Loss 1.8415 (1.7847)	Prec@1 48.438 (53.031)	Prec@5 83.594 (82.318)
Epoch: [82][2210/14090]	Time 0.769 (0.752)	Data 0.001 (0.003)	Loss 1.9657 (1.7848)	Prec@1 49.219 (53.033)	Prec@5 77.344 (82.314)
Epoch: [82][2220/14090]	Time 0.748 (0.752)	Data 0.002 (0.003)	Loss 1.7068 (1.7847)	Prec@1 53.906 (53.034)	Prec@5 81.250 (82.315)
Epoch: [82][2230/14090]	Time 0.755 (0.753)	Data 0.001 (0.003)	Loss 1.8823 (1.7849)	Prec@1 49.219 (53.028)	Prec@5 77.344 (82.306)
Epoch: [82][2240/14090]	Time 0.724 (0.752)	Data 0.001 (0.003)	Loss 1.7529 (1.7850)	Prec@1 47.656 (53.021)	Prec@5 82.031 (82.304)
Epoch: [82][2250/14090]	Time 0.727 (0.752)	Data 0.001 (0.003)	Loss 1.7363 (1.7850)	Prec@1 56.250 (53.021)	Prec@5 81.250 (82.305)
Epoch: [82][2260/14090]	Time 0.745 (0.752)	Data 0.001 (0.003)	Loss 1.9008 (1.7851)	Prec@1 44.531 (53.014)	Prec@5 78.125 (82.302)
Epoch: [82][2270/14090]	Time 0.725 (0.752)	Data 0.001 (0.003)	Loss 1.6939 (1.7850)	Prec@1 50.781 (53.017)	Prec@5 85.156 (82.306)
Epoch: [82][2280/14090]	Time 0.749 (0.752)	Data 0.001 (0.003)	Loss 1.8439 (1.7848)	Prec@1 48.438 (53.021)	Prec@5 81.250 (82.318)
Epoch: [82][2290/14090]	Time 0.750 (0.752)	Data 0.002 (0.003)	Loss 1.6939 (1.7850)	Prec@1 60.156 (53.020)	Prec@5 85.156 (82.317)
Epoch: [82][2300/14090]	Time 0.727 (0.752)	Data 0.001 (0.003)	Loss 1.6964 (1.7851)	Prec@1 54.688 (53.019)	Prec@5 83.594 (82.316)
Epoch: [82][2310/14090]	Time 0.773 (0.752)	Data 0.001 (0.003)	Loss 1.9471 (1.7852)	Prec@1 50.781 (53.022)	Prec@5 82.812 (82.317)
Epoch: [82][2320/14090]	Time 0.762 (0.752)	Data 0.001 (0.003)	Loss 1.8765 (1.7851)	Prec@1 48.438 (53.024)	Prec@5 77.344 (82.317)
Epoch: [82][2330/14090]	Time 0.729 (0.752)	Data 0.001 (0.003)	Loss 1.9398 (1.7849)	Prec@1 48.438 (53.030)	Prec@5 76.562 (82.317)
Epoch: [82][2340/14090]	Time 0.760 (0.752)	Data 0.001 (0.003)	Loss 1.6162 (1.7849)	Prec@1 60.156 (53.038)	Prec@5 83.594 (82.314)
Epoch: [82][2350/14090]	Time 0.735 (0.752)	Data 0.001 (0.003)	Loss 2.0556 (1.7851)	Prec@1 50.000 (53.041)	Prec@5 78.125 (82.309)
Epoch: [82][2360/14090]	Time 0.762 (0.752)	Data 0.002 (0.003)	Loss 1.9236 (1.7852)	Prec@1 46.875 (53.037)	Prec@5 85.156 (82.311)
Epoch: [82][2370/14090]	Time 0.731 (0.752)	Data 0.001 (0.003)	Loss 1.6672 (1.7853)	Prec@1 56.250 (53.042)	Prec@5 87.500 (82.310)
Epoch: [82][2380/14090]	Time 0.728 (0.752)	Data 0.001 (0.003)	Loss 1.7438 (1.7852)	Prec@1 51.562 (53.046)	Prec@5 81.250 (82.310)
Epoch: [82][2390/14090]	Time 0.751 (0.752)	Data 0.001 (0.003)	Loss 1.9577 (1.7851)	Prec@1 50.781 (53.042)	Prec@5 78.906 (82.313)
Epoch: [82][2400/14090]	Time 0.754 (0.752)	Data 0.001 (0.003)	Loss 1.8854 (1.7851)	Prec@1 49.219 (53.041)	Prec@5 77.344 (82.306)
Epoch: [82][2410/14090]	Time 0.755 (0.752)	Data 0.001 (0.003)	Loss 1.5930 (1.7849)	Prec@1 55.469 (53.038)	Prec@5 82.031 (82.306)
Epoch: [82][2420/14090]	Time 0.745 (0.752)	Data 0.001 (0.003)	Loss 1.7086 (1.7849)	Prec@1 52.344 (53.041)	Prec@5 84.375 (82.297)
Epoch: [82][2430/14090]	Time 0.744 (0.752)	Data 0.002 (0.003)	Loss 1.4750 (1.7851)	Prec@1 60.938 (53.038)	Prec@5 89.844 (82.293)
Epoch: [82][2440/14090]	Time 0.734 (0.752)	Data 0.001 (0.003)	Loss 2.0228 (1.7852)	Prec@1 44.531 (53.037)	Prec@5 82.812 (82.290)
Epoch: [82][2450/14090]	Time 0.780 (0.752)	Data 0.001 (0.003)	Loss 1.7362 (1.7852)	Prec@1 53.906 (53.032)	Prec@5 85.938 (82.295)
Epoch: [82][2460/14090]	Time 0.769 (0.752)	Data 0.001 (0.003)	Loss 1.6370 (1.7852)	Prec@1 60.156 (53.033)	Prec@5 83.594 (82.295)
Epoch: [82][2470/14090]	Time 0.743 (0.752)	Data 0.001 (0.003)	Loss 1.6604 (1.7853)	Prec@1 55.469 (53.029)	Prec@5 84.375 (82.294)
Epoch: [82][2480/14090]	Time 0.771 (0.752)	Data 0.001 (0.003)	Loss 1.5551 (1.7852)	Prec@1 58.594 (53.025)	Prec@5 85.156 (82.298)
Epoch: [82][2490/14090]	Time 0.744 (0.752)	Data 0.001 (0.003)	Loss 1.9357 (1.7852)	Prec@1 53.125 (53.025)	Prec@5 82.031 (82.302)
Epoch: [82][2500/14090]	Time 0.777 (0.752)	Data 0.002 (0.003)	Loss 2.2539 (1.7855)	Prec@1 41.406 (53.013)	Prec@5 79.688 (82.300)
Epoch: [82][2510/14090]	Time 0.761 (0.752)	Data 0.001 (0.003)	Loss 1.7485 (1.7857)	Prec@1 51.562 (53.000)	Prec@5 83.594 (82.299)
Epoch: [82][2520/14090]	Time 0.746 (0.752)	Data 0.001 (0.003)	Loss 1.8263 (1.7857)	Prec@1 48.438 (52.997)	Prec@5 82.812 (82.298)
Epoch: [82][2530/14090]	Time 0.746 (0.752)	Data 0.001 (0.003)	Loss 1.6275 (1.7857)	Prec@1 56.250 (52.991)	Prec@5 84.375 (82.297)
Epoch: [82][2540/14090]	Time 0.734 (0.752)	Data 0.001 (0.003)	Loss 1.9106 (1.7856)	Prec@1 49.219 (52.994)	Prec@5 80.469 (82.294)
Epoch: [82][2550/14090]	Time 0.757 (0.752)	Data 0.001 (0.003)	Loss 2.0224 (1.7858)	Prec@1 49.219 (52.992)	Prec@5 76.562 (82.287)
Epoch: [82][2560/14090]	Time 0.729 (0.752)	Data 0.001 (0.003)	Loss 1.8417 (1.7859)	Prec@1 50.781 (52.988)	Prec@5 79.688 (82.285)
Epoch: [82][2570/14090]	Time 0.754 (0.752)	Data 0.002 (0.003)	Loss 1.6216 (1.7860)	Prec@1 60.938 (52.988)	Prec@5 85.938 (82.286)
Epoch: [82][2580/14090]	Time 0.734 (0.752)	Data 0.001 (0.003)	Loss 1.7660 (1.7861)	Prec@1 48.438 (52.983)	Prec@5 86.719 (82.285)
Epoch: [82][2590/14090]	Time 0.752 (0.752)	Data 0.001 (0.003)	Loss 1.9684 (1.7858)	Prec@1 47.656 (52.987)	Prec@5 80.469 (82.297)
Epoch: [82][2600/14090]	Time 0.755 (0.752)	Data 0.001 (0.003)	Loss 1.8488 (1.7861)	Prec@1 55.469 (52.988)	Prec@5 80.469 (82.289)
Epoch: [82][2610/14090]	Time 0.751 (0.752)	Data 0.001 (0.003)	Loss 1.7428 (1.7862)	Prec@1 50.781 (52.988)	Prec@5 82.031 (82.290)
Epoch: [82][2620/14090]	Time 0.739 (0.752)	Data 0.001 (0.003)	Loss 1.7945 (1.7864)	Prec@1 57.031 (52.983)	Prec@5 82.031 (82.286)
Epoch: [82][2630/14090]	Time 0.777 (0.752)	Data 0.001 (0.003)	Loss 1.8482 (1.7865)	Prec@1 49.219 (52.983)	Prec@5 81.250 (82.281)
Epoch: [82][2640/14090]	Time 0.740 (0.752)	Data 0.002 (0.003)	Loss 1.8648 (1.7866)	Prec@1 47.656 (52.976)	Prec@5 79.688 (82.281)
Epoch: [82][2650/14090]	Time 0.738 (0.752)	Data 0.001 (0.003)	Loss 1.8732 (1.7864)	Prec@1 47.656 (52.977)	Prec@5 82.812 (82.282)
Epoch: [82][2660/14090]	Time 0.739 (0.752)	Data 0.001 (0.003)	Loss 1.6910 (1.7867)	Prec@1 51.562 (52.971)	Prec@5 81.250 (82.276)
Epoch: [82][2670/14090]	Time 0.788 (0.752)	Data 0.001 (0.003)	Loss 1.8666 (1.7868)	Prec@1 49.219 (52.966)	Prec@5 84.375 (82.273)
Epoch: [82][2680/14090]	Time 0.722 (0.752)	Data 0.001 (0.003)	Loss 1.9320 (1.7869)	Prec@1 53.125 (52.966)	Prec@5 78.906 (82.273)
Epoch: [82][2690/14090]	Time 0.769 (0.752)	Data 0.001 (0.003)	Loss 1.8196 (1.7870)	Prec@1 54.688 (52.968)	Prec@5 80.469 (82.271)
Epoch: [82][2700/14090]	Time 0.754 (0.752)	Data 0.001 (0.003)	Loss 2.0306 (1.7874)	Prec@1 50.000 (52.966)	Prec@5 78.906 (82.263)
Epoch: [82][2710/14090]	Time 0.743 (0.752)	Data 0.002 (0.003)	Loss 1.8071 (1.7873)	Prec@1 53.906 (52.968)	Prec@5 78.125 (82.265)
Epoch: [82][2720/14090]	Time 0.756 (0.752)	Data 0.001 (0.003)	Loss 1.9181 (1.7872)	Prec@1 53.125 (52.969)	Prec@5 81.250 (82.264)
Epoch: [82][2730/14090]	Time 0.750 (0.752)	Data 0.001 (0.003)	Loss 1.6881 (1.7870)	Prec@1 52.344 (52.976)	Prec@5 85.938 (82.265)
Epoch: [82][2740/14090]	Time 0.725 (0.752)	Data 0.001 (0.003)	Loss 2.0061 (1.7867)	Prec@1 46.875 (52.983)	Prec@5 79.688 (82.272)
Epoch: [82][2750/14090]	Time 0.774 (0.752)	Data 0.001 (0.003)	Loss 1.7475 (1.7867)	Prec@1 56.250 (52.985)	Prec@5 85.156 (82.272)
Epoch: [82][2760/14090]	Time 0.735 (0.752)	Data 0.001 (0.003)	Loss 1.7859 (1.7870)	Prec@1 53.906 (52.984)	Prec@5 79.688 (82.266)
Epoch: [82][2770/14090]	Time 0.749 (0.752)	Data 0.001 (0.003)	Loss 1.8846 (1.7872)	Prec@1 47.656 (52.977)	Prec@5 80.469 (82.260)
Epoch: [82][2780/14090]	Time 0.748 (0.752)	Data 0.002 (0.003)	Loss 2.0161 (1.7872)	Prec@1 48.438 (52.975)	Prec@5 81.250 (82.259)
Epoch: [82][2790/14090]	Time 0.741 (0.752)	Data 0.001 (0.003)	Loss 2.1191 (1.7873)	Prec@1 39.062 (52.969)	Prec@5 80.469 (82.259)
Epoch: [82][2800/14090]	Time 0.732 (0.752)	Data 0.001 (0.003)	Loss 1.9424 (1.7872)	Prec@1 50.781 (52.970)	Prec@5 81.250 (82.262)
Epoch: [82][2810/14090]	Time 0.766 (0.752)	Data 0.001 (0.003)	Loss 2.1042 (1.7875)	Prec@1 46.875 (52.961)	Prec@5 78.125 (82.257)
Epoch: [82][2820/14090]	Time 0.748 (0.752)	Data 0.002 (0.003)	Loss 1.4155 (1.7877)	Prec@1 60.156 (52.962)	Prec@5 88.281 (82.252)
Epoch: [82][2830/14090]	Time 0.757 (0.752)	Data 0.001 (0.003)	Loss 1.8023 (1.7878)	Prec@1 50.781 (52.961)	Prec@5 82.812 (82.251)
Epoch: [82][2840/14090]	Time 0.755 (0.752)	Data 0.001 (0.003)	Loss 1.9259 (1.7880)	Prec@1 53.906 (52.958)	Prec@5 75.000 (82.245)
Epoch: [82][2850/14090]	Time 0.761 (0.752)	Data 0.002 (0.003)	Loss 1.8316 (1.7880)	Prec@1 52.344 (52.959)	Prec@5 80.469 (82.246)
Epoch: [82][2860/14090]	Time 0.732 (0.752)	Data 0.001 (0.003)	Loss 1.7133 (1.7881)	Prec@1 50.781 (52.961)	Prec@5 81.250 (82.243)
Epoch: [82][2870/14090]	Time 0.788 (0.752)	Data 0.008 (0.003)	Loss 1.4697 (1.7881)	Prec@1 57.812 (52.965)	Prec@5 88.281 (82.245)
Epoch: [82][2880/14090]	Time 0.742 (0.752)	Data 0.001 (0.003)	Loss 1.7591 (1.7880)	Prec@1 53.906 (52.965)	Prec@5 85.156 (82.249)
Epoch: [82][2890/14090]	Time 0.746 (0.752)	Data 0.001 (0.003)	Loss 1.7550 (1.7880)	Prec@1 57.031 (52.968)	Prec@5 82.812 (82.247)
Epoch: [82][2900/14090]	Time 0.725 (0.752)	Data 0.001 (0.003)	Loss 2.0415 (1.7883)	Prec@1 45.312 (52.960)	Prec@5 81.250 (82.245)
Epoch: [82][2910/14090]	Time 0.768 (0.752)	Data 0.001 (0.003)	Loss 2.0659 (1.7885)	Prec@1 48.438 (52.953)	Prec@5 82.812 (82.242)
Epoch: [82][2920/14090]	Time 0.788 (0.752)	Data 0.002 (0.003)	Loss 1.5880 (1.7884)	Prec@1 57.812 (52.959)	Prec@5 88.281 (82.245)
Epoch: [82][2930/14090]	Time 0.749 (0.752)	Data 0.001 (0.003)	Loss 1.6646 (1.7884)	Prec@1 55.469 (52.955)	Prec@5 83.594 (82.248)
Epoch: [82][2940/14090]	Time 0.730 (0.752)	Data 0.001 (0.003)	Loss 1.7301 (1.7887)	Prec@1 58.594 (52.948)	Prec@5 85.156 (82.249)
Epoch: [82][2950/14090]	Time 0.729 (0.752)	Data 0.001 (0.003)	Loss 1.7086 (1.7885)	Prec@1 54.688 (52.953)	Prec@5 83.594 (82.251)
Epoch: [82][2960/14090]	Time 0.772 (0.752)	Data 0.001 (0.003)	Loss 1.5987 (1.7886)	Prec@1 56.250 (52.950)	Prec@5 87.500 (82.251)
Epoch: [82][2970/14090]	Time 0.730 (0.752)	Data 0.001 (0.003)	Loss 1.6925 (1.7886)	Prec@1 55.469 (52.945)	Prec@5 88.281 (82.256)
Epoch: [82][2980/14090]	Time 0.749 (0.752)	Data 0.001 (0.003)	Loss 1.5513 (1.7885)	Prec@1 59.375 (52.947)	Prec@5 86.719 (82.257)
Epoch: [82][2990/14090]	Time 0.730 (0.752)	Data 0.002 (0.003)	Loss 1.9020 (1.7885)	Prec@1 52.344 (52.946)	Prec@5 75.781 (82.256)
Epoch: [82][3000/14090]	Time 0.748 (0.752)	Data 0.001 (0.003)	Loss 1.9204 (1.7885)	Prec@1 50.781 (52.948)	Prec@5 77.344 (82.253)
Epoch: [82][3010/14090]	Time 0.754 (0.752)	Data 0.001 (0.003)	Loss 1.9543 (1.7883)	Prec@1 47.656 (52.952)	Prec@5 76.562 (82.258)
Epoch: [82][3020/14090]	Time 0.771 (0.752)	Data 0.002 (0.003)	Loss 1.8265 (1.7885)	Prec@1 54.688 (52.953)	Prec@5 79.688 (82.257)
Epoch: [82][3030/14090]	Time 0.764 (0.752)	Data 0.001 (0.003)	Loss 2.0026 (1.7886)	Prec@1 48.438 (52.946)	Prec@5 73.438 (82.250)
Epoch: [82][3040/14090]	Time 0.749 (0.752)	Data 0.001 (0.003)	Loss 1.6968 (1.7888)	Prec@1 50.781 (52.942)	Prec@5 81.250 (82.248)
Epoch: [82][3050/14090]	Time 0.745 (0.752)	Data 0.001 (0.003)	Loss 1.6143 (1.7889)	Prec@1 58.594 (52.945)	Prec@5 83.594 (82.248)
Epoch: [82][3060/14090]	Time 0.756 (0.752)	Data 0.002 (0.003)	Loss 2.4023 (1.7892)	Prec@1 46.094 (52.936)	Prec@5 77.344 (82.248)
Epoch: [82][3070/14090]	Time 0.768 (0.752)	Data 0.001 (0.003)	Loss 1.9010 (1.7891)	Prec@1 51.562 (52.934)	Prec@5 77.344 (82.251)
Epoch: [82][3080/14090]	Time 0.750 (0.752)	Data 0.001 (0.003)	Loss 2.0303 (1.7892)	Prec@1 48.438 (52.935)	Prec@5 78.125 (82.252)
Epoch: [82][3090/14090]	Time 0.784 (0.752)	Data 0.001 (0.003)	Loss 1.8813 (1.7892)	Prec@1 43.750 (52.930)	Prec@5 79.688 (82.250)
Epoch: [82][3100/14090]	Time 0.738 (0.752)	Data 0.001 (0.003)	Loss 1.5392 (1.7894)	Prec@1 55.469 (52.927)	Prec@5 85.156 (82.248)
Epoch: [82][3110/14090]	Time 0.742 (0.752)	Data 0.001 (0.003)	Loss 1.8490 (1.7892)	Prec@1 52.344 (52.935)	Prec@5 80.469 (82.254)
Epoch: [82][3120/14090]	Time 0.766 (0.752)	Data 0.001 (0.003)	Loss 2.0817 (1.7895)	Prec@1 42.969 (52.931)	Prec@5 78.125 (82.251)
Epoch: [82][3130/14090]	Time 0.727 (0.752)	Data 0.002 (0.003)	Loss 1.6820 (1.7894)	Prec@1 53.125 (52.930)	Prec@5 86.719 (82.248)
Epoch: [82][3140/14090]	Time 0.750 (0.752)	Data 0.001 (0.003)	Loss 2.0884 (1.7895)	Prec@1 47.656 (52.928)	Prec@5 73.438 (82.243)
Epoch: [82][3150/14090]	Time 0.734 (0.752)	Data 0.001 (0.003)	Loss 1.7037 (1.7894)	Prec@1 50.781 (52.923)	Prec@5 81.250 (82.243)
Epoch: [82][3160/14090]	Time 0.772 (0.752)	Data 0.001 (0.003)	Loss 1.5764 (1.7892)	Prec@1 58.594 (52.925)	Prec@5 87.500 (82.249)
Epoch: [82][3170/14090]	Time 0.747 (0.752)	Data 0.001 (0.003)	Loss 1.4641 (1.7892)	Prec@1 61.719 (52.925)	Prec@5 86.719 (82.247)
Epoch: [82][3180/14090]	Time 0.739 (0.752)	Data 0.001 (0.003)	Loss 1.7433 (1.7892)	Prec@1 57.031 (52.928)	Prec@5 85.156 (82.249)
Epoch: [82][3190/14090]	Time 0.767 (0.752)	Data 0.001 (0.003)	Loss 1.9891 (1.7895)	Prec@1 49.219 (52.917)	Prec@5 82.812 (82.245)
Epoch: [82][3200/14090]	Time 0.739 (0.752)	Data 0.002 (0.003)	Loss 1.6468 (1.7893)	Prec@1 55.469 (52.925)	Prec@5 80.469 (82.246)
Epoch: [82][3210/14090]	Time 0.728 (0.752)	Data 0.001 (0.003)	Loss 1.6610 (1.7893)	Prec@1 57.031 (52.928)	Prec@5 83.594 (82.246)
Epoch: [82][3220/14090]	Time 0.775 (0.752)	Data 0.001 (0.003)	Loss 1.7391 (1.7896)	Prec@1 48.438 (52.917)	Prec@5 84.375 (82.242)
Epoch: [82][3230/14090]	Time 0.773 (0.752)	Data 0.001 (0.003)	Loss 1.6069 (1.7896)	Prec@1 60.156 (52.919)	Prec@5 85.938 (82.244)
Epoch: [82][3240/14090]	Time 0.755 (0.752)	Data 0.001 (0.003)	Loss 1.7207 (1.7895)	Prec@1 53.125 (52.925)	Prec@5 81.250 (82.243)
Epoch: [82][3250/14090]	Time 0.766 (0.752)	Data 0.001 (0.003)	Loss 2.0007 (1.7895)	Prec@1 47.656 (52.928)	Prec@5 75.781 (82.247)
Epoch: [82][3260/14090]	Time 0.824 (0.752)	Data 0.001 (0.003)	Loss 1.9795 (1.7894)	Prec@1 51.562 (52.931)	Prec@5 79.688 (82.249)
Epoch: [82][3270/14090]	Time 0.740 (0.752)	Data 0.002 (0.003)	Loss 1.8673 (1.7894)	Prec@1 48.438 (52.931)	Prec@5 81.250 (82.246)
Epoch: [82][3280/14090]	Time 0.755 (0.752)	Data 0.001 (0.003)	Loss 1.8382 (1.7894)	Prec@1 49.219 (52.935)	Prec@5 82.031 (82.245)
Epoch: [82][3290/14090]	Time 0.745 (0.752)	Data 0.001 (0.003)	Loss 1.8792 (1.7896)	Prec@1 53.906 (52.931)	Prec@5 82.031 (82.238)
Epoch: [82][3300/14090]	Time 0.730 (0.752)	Data 0.001 (0.003)	Loss 1.6849 (1.7897)	Prec@1 54.688 (52.931)	Prec@5 84.375 (82.240)
Epoch: [82][3310/14090]	Time 0.745 (0.752)	Data 0.001 (0.002)	Loss 1.8275 (1.7898)	Prec@1 53.906 (52.928)	Prec@5 79.688 (82.240)
Epoch: [82][3320/14090]	Time 0.750 (0.752)	Data 0.001 (0.002)	Loss 1.9148 (1.7898)	Prec@1 46.875 (52.928)	Prec@5 81.250 (82.239)
Epoch: [82][3330/14090]	Time 0.762 (0.752)	Data 0.001 (0.002)	Loss 1.8796 (1.7898)	Prec@1 42.969 (52.923)	Prec@5 82.812 (82.239)
Epoch: [82][3340/14090]	Time 0.785 (0.752)	Data 0.002 (0.002)	Loss 1.6243 (1.7898)	Prec@1 60.156 (52.925)	Prec@5 84.375 (82.239)
Epoch: [82][3350/14090]	Time 0.776 (0.752)	Data 0.001 (0.002)	Loss 1.6475 (1.7898)	Prec@1 54.688 (52.925)	Prec@5 82.031 (82.240)
Epoch: [82][3360/14090]	Time 0.735 (0.752)	Data 0.002 (0.002)	Loss 1.6817 (1.7899)	Prec@1 53.906 (52.924)	Prec@5 82.031 (82.238)
Epoch: [82][3370/14090]	Time 0.773 (0.752)	Data 0.001 (0.002)	Loss 1.7836 (1.7902)	Prec@1 56.250 (52.916)	Prec@5 82.031 (82.234)
Epoch: [82][3380/14090]	Time 0.768 (0.752)	Data 0.001 (0.002)	Loss 2.0942 (1.7903)	Prec@1 44.531 (52.917)	Prec@5 75.781 (82.232)
Epoch: [82][3390/14090]	Time 0.732 (0.752)	Data 0.001 (0.002)	Loss 1.7798 (1.7902)	Prec@1 55.469 (52.916)	Prec@5 80.469 (82.231)
Epoch: [82][3400/14090]	Time 0.751 (0.752)	Data 0.001 (0.002)	Loss 1.8745 (1.7902)	Prec@1 43.750 (52.915)	Prec@5 78.125 (82.233)
Epoch: [82][3410/14090]	Time 0.767 (0.752)	Data 0.002 (0.002)	Loss 1.7247 (1.7904)	Prec@1 59.375 (52.913)	Prec@5 80.469 (82.225)
Epoch: [82][3420/14090]	Time 0.730 (0.752)	Data 0.001 (0.002)	Loss 1.8587 (1.7908)	Prec@1 48.438 (52.906)	Prec@5 82.031 (82.219)
Epoch: [82][3430/14090]	Time 0.768 (0.752)	Data 0.001 (0.002)	Loss 1.7926 (1.7908)	Prec@1 50.781 (52.903)	Prec@5 82.812 (82.221)
Epoch: [82][3440/14090]	Time 0.756 (0.752)	Data 0.001 (0.002)	Loss 1.7565 (1.7910)	Prec@1 48.438 (52.893)	Prec@5 85.156 (82.219)
Epoch: [82][3450/14090]	Time 0.739 (0.752)	Data 0.001 (0.002)	Loss 1.8052 (1.7910)	Prec@1 50.781 (52.893)	Prec@5 82.812 (82.220)
Epoch: [82][3460/14090]	Time 0.756 (0.752)	Data 0.001 (0.002)	Loss 1.6987 (1.7908)	Prec@1 55.469 (52.897)	Prec@5 82.812 (82.221)
Epoch: [82][3470/14090]	Time 0.750 (0.752)	Data 0.001 (0.002)	Loss 1.9061 (1.7912)	Prec@1 50.000 (52.889)	Prec@5 80.469 (82.215)
Epoch: [82][3480/14090]	Time 0.772 (0.752)	Data 0.002 (0.002)	Loss 1.8428 (1.7910)	Prec@1 48.438 (52.894)	Prec@5 82.031 (82.216)
Epoch: [82][3490/14090]	Time 0.735 (0.752)	Data 0.001 (0.002)	Loss 1.7434 (1.7913)	Prec@1 60.938 (52.889)	Prec@5 85.156 (82.209)
Epoch: [82][3500/14090]	Time 0.770 (0.752)	Data 0.001 (0.002)	Loss 1.8778 (1.7913)	Prec@1 55.469 (52.891)	Prec@5 79.688 (82.211)
Epoch: [82][3510/14090]	Time 0.749 (0.752)	Data 0.001 (0.002)	Loss 1.7323 (1.7913)	Prec@1 55.469 (52.893)	Prec@5 81.250 (82.207)
Epoch: [82][3520/14090]	Time 0.784 (0.752)	Data 0.001 (0.002)	Loss 1.5866 (1.7913)	Prec@1 54.688 (52.893)	Prec@5 84.375 (82.207)
Epoch: [82][3530/14090]	Time 0.754 (0.752)	Data 0.001 (0.002)	Loss 1.6266 (1.7913)	Prec@1 57.812 (52.899)	Prec@5 84.375 (82.205)
Epoch: [82][3540/14090]	Time 0.759 (0.752)	Data 0.001 (0.002)	Loss 1.6663 (1.7912)	Prec@1 55.469 (52.900)	Prec@5 82.812 (82.206)
Epoch: [82][3550/14090]	Time 0.779 (0.752)	Data 0.002 (0.002)	Loss 1.7922 (1.7914)	Prec@1 53.125 (52.894)	Prec@5 84.375 (82.205)
Epoch: [82][3560/14090]	Time 0.731 (0.752)	Data 0.001 (0.002)	Loss 1.6499 (1.7913)	Prec@1 55.469 (52.897)	Prec@5 83.594 (82.208)
Epoch: [82][3570/14090]	Time 0.781 (0.752)	Data 0.001 (0.002)	Loss 1.6296 (1.7910)	Prec@1 60.156 (52.906)	Prec@5 82.031 (82.211)
Epoch: [82][3580/14090]	Time 0.745 (0.752)	Data 0.001 (0.002)	Loss 1.6065 (1.7908)	Prec@1 55.469 (52.909)	Prec@5 85.938 (82.211)
Epoch: [82][3590/14090]	Time 0.770 (0.752)	Data 0.001 (0.002)	Loss 1.7927 (1.7907)	Prec@1 55.469 (52.912)	Prec@5 78.125 (82.210)
Epoch: [82][3600/14090]	Time 0.753 (0.752)	Data 0.001 (0.002)	Loss 1.8364 (1.7907)	Prec@1 52.344 (52.913)	Prec@5 82.031 (82.209)
Epoch: [82][3610/14090]	Time 0.741 (0.752)	Data 0.001 (0.002)	Loss 1.6258 (1.7906)	Prec@1 60.156 (52.917)	Prec@5 83.594 (82.210)
Epoch: [82][3620/14090]	Time 0.799 (0.752)	Data 0.002 (0.002)	Loss 1.6367 (1.7906)	Prec@1 59.375 (52.922)	Prec@5 82.812 (82.212)
Epoch: [82][3630/14090]	Time 0.733 (0.752)	Data 0.001 (0.002)	Loss 1.9175 (1.7907)	Prec@1 47.656 (52.917)	Prec@5 80.469 (82.209)
Epoch: [82][3640/14090]	Time 0.740 (0.752)	Data 0.001 (0.002)	Loss 1.5803 (1.7907)	Prec@1 60.156 (52.920)	Prec@5 87.500 (82.208)
Epoch: [82][3650/14090]	Time 0.766 (0.752)	Data 0.001 (0.002)	Loss 1.8618 (1.7908)	Prec@1 48.438 (52.914)	Prec@5 79.688 (82.207)
Epoch: [82][3660/14090]	Time 0.731 (0.752)	Data 0.001 (0.002)	Loss 1.7124 (1.7909)	Prec@1 51.562 (52.907)	Prec@5 83.594 (82.204)
Epoch: [82][3670/14090]	Time 0.773 (0.752)	Data 0.001 (0.002)	Loss 1.8629 (1.7910)	Prec@1 50.000 (52.909)	Prec@5 77.344 (82.205)
Epoch: [82][3680/14090]	Time 0.759 (0.752)	Data 0.001 (0.002)	Loss 2.1688 (1.7910)	Prec@1 48.438 (52.910)	Prec@5 75.000 (82.205)
Epoch: [82][3690/14090]	Time 0.730 (0.752)	Data 0.002 (0.002)	Loss 1.6980 (1.7911)	Prec@1 57.031 (52.910)	Prec@5 82.031 (82.201)
Epoch: [82][3700/14090]	Time 0.738 (0.752)	Data 0.001 (0.002)	Loss 1.8416 (1.7912)	Prec@1 50.781 (52.910)	Prec@5 82.812 (82.202)
Epoch: [82][3710/14090]	Time 0.759 (0.752)	Data 0.001 (0.002)	Loss 1.8094 (1.7911)	Prec@1 51.562 (52.909)	Prec@5 83.594 (82.203)
Epoch: [82][3720/14090]	Time 0.766 (0.752)	Data 0.001 (0.002)	Loss 1.7549 (1.7911)	Prec@1 53.906 (52.912)	Prec@5 81.250 (82.202)
Epoch: [82][3730/14090]	Time 0.752 (0.752)	Data 0.001 (0.002)	Loss 1.5960 (1.7911)	Prec@1 54.688 (52.910)	Prec@5 87.500 (82.203)
Epoch: [82][3740/14090]	Time 0.727 (0.752)	Data 0.001 (0.002)	Loss 1.7590 (1.7911)	Prec@1 50.781 (52.910)	Prec@5 83.594 (82.205)
Epoch: [82][3750/14090]	Time 0.776 (0.752)	Data 0.001 (0.002)	Loss 1.4671 (1.7911)	Prec@1 60.938 (52.910)	Prec@5 87.500 (82.206)
Epoch: [82][3760/14090]	Time 0.782 (0.752)	Data 0.002 (0.002)	Loss 1.9218 (1.7911)	Prec@1 52.344 (52.910)	Prec@5 80.469 (82.205)
Epoch: [82][3770/14090]	Time 0.762 (0.752)	Data 0.001 (0.002)	Loss 1.7212 (1.7909)	Prec@1 55.469 (52.910)	Prec@5 82.812 (82.208)
Epoch: [82][3780/14090]	Time 0.741 (0.752)	Data 0.001 (0.002)	Loss 1.7205 (1.7909)	Prec@1 52.344 (52.910)	Prec@5 83.594 (82.208)
Epoch: [82][3790/14090]	Time 0.747 (0.752)	Data 0.001 (0.002)	Loss 1.7588 (1.7909)	Prec@1 55.469 (52.908)	Prec@5 85.938 (82.207)
Epoch: [82][3800/14090]	Time 0.734 (0.752)	Data 0.001 (0.002)	Loss 1.6470 (1.7907)	Prec@1 55.469 (52.915)	Prec@5 85.938 (82.211)
Epoch: [82][3810/14090]	Time 0.778 (0.752)	Data 0.001 (0.002)	Loss 1.6474 (1.7906)	Prec@1 57.812 (52.920)	Prec@5 85.156 (82.213)
Epoch: [82][3820/14090]	Time 0.736 (0.752)	Data 0.001 (0.002)	Loss 1.5996 (1.7905)	Prec@1 53.906 (52.923)	Prec@5 86.719 (82.215)
Epoch: [82][3830/14090]	Time 0.732 (0.752)	Data 0.002 (0.002)	Loss 1.6462 (1.7905)	Prec@1 54.688 (52.924)	Prec@5 85.156 (82.213)
Epoch: [82][3840/14090]	Time 0.760 (0.752)	Data 0.001 (0.002)	Loss 1.9948 (1.7904)	Prec@1 47.656 (52.926)	Prec@5 75.781 (82.213)
Epoch: [82][3850/14090]	Time 0.768 (0.752)	Data 0.002 (0.002)	Loss 1.8059 (1.7903)	Prec@1 52.344 (52.928)	Prec@5 78.906 (82.213)
Epoch: [82][3860/14090]	Time 0.752 (0.752)	Data 0.001 (0.002)	Loss 1.9743 (1.7903)	Prec@1 50.000 (52.928)	Prec@5 79.688 (82.215)
Epoch: [82][3870/14090]	Time 0.729 (0.752)	Data 0.001 (0.002)	Loss 2.0614 (1.7902)	Prec@1 50.000 (52.930)	Prec@5 80.469 (82.216)
Epoch: [82][3880/14090]	Time 0.736 (0.752)	Data 0.001 (0.002)	Loss 1.6999 (1.7901)	Prec@1 57.031 (52.934)	Prec@5 86.719 (82.216)
Epoch: [82][3890/14090]	Time 0.778 (0.752)	Data 0.001 (0.002)	Loss 1.5447 (1.7900)	Prec@1 60.156 (52.937)	Prec@5 86.719 (82.218)
Epoch: [82][3900/14090]	Time 0.752 (0.752)	Data 0.004 (0.002)	Loss 1.5741 (1.7899)	Prec@1 60.938 (52.938)	Prec@5 84.375 (82.221)
Epoch: [82][3910/14090]	Time 0.735 (0.752)	Data 0.001 (0.002)	Loss 1.7344 (1.7899)	Prec@1 62.500 (52.944)	Prec@5 84.375 (82.219)
Epoch: [82][3920/14090]	Time 0.773 (0.752)	Data 0.001 (0.002)	Loss 1.6369 (1.7898)	Prec@1 57.812 (52.947)	Prec@5 84.375 (82.220)
Epoch: [82][3930/14090]	Time 0.737 (0.752)	Data 0.001 (0.002)	Loss 1.7133 (1.7898)	Prec@1 51.562 (52.946)	Prec@5 83.594 (82.223)
Epoch: [82][3940/14090]	Time 0.773 (0.752)	Data 0.001 (0.002)	Loss 1.8306 (1.7898)	Prec@1 50.781 (52.943)	Prec@5 81.250 (82.225)
Epoch: [82][3950/14090]	Time 0.736 (0.752)	Data 0.001 (0.002)	Loss 1.7424 (1.7899)	Prec@1 56.250 (52.945)	Prec@5 84.375 (82.223)
Epoch: [82][3960/14090]	Time 0.768 (0.752)	Data 0.001 (0.002)	Loss 1.7255 (1.7898)	Prec@1 57.031 (52.949)	Prec@5 85.156 (82.225)
Epoch: [82][3970/14090]	Time 0.757 (0.752)	Data 0.002 (0.002)	Loss 1.8660 (1.7897)	Prec@1 44.531 (52.949)	Prec@5 82.812 (82.226)
Epoch: [82][3980/14090]	Time 0.744 (0.752)	Data 0.001 (0.002)	Loss 1.6844 (1.7895)	Prec@1 53.906 (52.952)	Prec@5 85.156 (82.232)
Epoch: [82][3990/14090]	Time 0.776 (0.752)	Data 0.001 (0.002)	Loss 1.7332 (1.7894)	Prec@1 53.125 (52.954)	Prec@5 85.938 (82.232)
Epoch: [82][4000/14090]	Time 0.740 (0.752)	Data 0.001 (0.002)	Loss 1.7217 (1.7897)	Prec@1 55.469 (52.952)	Prec@5 85.938 (82.227)
Epoch: [82][4010/14090]	Time 0.745 (0.752)	Data 0.001 (0.002)	Loss 1.7698 (1.7899)	Prec@1 50.000 (52.949)	Prec@5 80.469 (82.226)
Epoch: [82][4020/14090]	Time 0.740 (0.751)	Data 0.001 (0.002)	Loss 2.0163 (1.7901)	Prec@1 44.531 (52.948)	Prec@5 79.688 (82.221)
Epoch: [82][4030/14090]	Time 0.775 (0.751)	Data 0.001 (0.002)	Loss 1.9995 (1.7900)	Prec@1 50.000 (52.951)	Prec@5 80.469 (82.221)
Epoch: [82][4040/14090]	Time 0.729 (0.751)	Data 0.002 (0.002)	Loss 1.6743 (1.7898)	Prec@1 55.469 (52.954)	Prec@5 86.719 (82.225)
Epoch: [82][4050/14090]	Time 0.745 (0.751)	Data 0.001 (0.002)	Loss 1.3061 (1.7898)	Prec@1 64.844 (52.953)	Prec@5 91.406 (82.226)
Epoch: [82][4060/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 2.0288 (1.7899)	Prec@1 42.188 (52.951)	Prec@5 77.344 (82.223)
Epoch: [82][4070/14090]	Time 0.761 (0.751)	Data 0.001 (0.002)	Loss 1.7244 (1.7899)	Prec@1 55.469 (52.952)	Prec@5 84.375 (82.220)
Epoch: [82][4080/14090]	Time 0.728 (0.751)	Data 0.001 (0.002)	Loss 1.8075 (1.7899)	Prec@1 52.344 (52.956)	Prec@5 82.031 (82.222)
Epoch: [82][4090/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 1.7871 (1.7898)	Prec@1 54.688 (52.961)	Prec@5 82.812 (82.224)
Epoch: [82][4100/14090]	Time 0.748 (0.751)	Data 0.001 (0.002)	Loss 1.7190 (1.7896)	Prec@1 54.688 (52.965)	Prec@5 81.250 (82.226)
Epoch: [82][4110/14090]	Time 0.737 (0.751)	Data 0.002 (0.002)	Loss 1.6974 (1.7896)	Prec@1 59.375 (52.962)	Prec@5 85.156 (82.225)
Epoch: [82][4120/14090]	Time 0.760 (0.751)	Data 0.002 (0.002)	Loss 1.7073 (1.7896)	Prec@1 54.688 (52.963)	Prec@5 88.281 (82.228)
Epoch: [82][4130/14090]	Time 0.756 (0.751)	Data 0.001 (0.002)	Loss 1.6769 (1.7897)	Prec@1 57.031 (52.963)	Prec@5 85.156 (82.228)
Epoch: [82][4140/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 1.8509 (1.7896)	Prec@1 51.562 (52.963)	Prec@5 82.812 (82.231)
Epoch: [82][4150/14090]	Time 0.759 (0.751)	Data 0.001 (0.002)	Loss 1.8644 (1.7897)	Prec@1 53.125 (52.963)	Prec@5 75.000 (82.228)
Epoch: [82][4160/14090]	Time 0.727 (0.751)	Data 0.001 (0.002)	Loss 1.8990 (1.7895)	Prec@1 52.344 (52.967)	Prec@5 84.375 (82.231)
Epoch: [82][4170/14090]	Time 0.766 (0.751)	Data 0.001 (0.002)	Loss 1.7961 (1.7895)	Prec@1 53.906 (52.965)	Prec@5 82.031 (82.229)
Epoch: [82][4180/14090]	Time 0.736 (0.751)	Data 0.002 (0.002)	Loss 1.6473 (1.7897)	Prec@1 55.469 (52.959)	Prec@5 85.156 (82.224)
Epoch: [82][4190/14090]	Time 0.773 (0.751)	Data 0.001 (0.002)	Loss 1.7682 (1.7897)	Prec@1 53.906 (52.956)	Prec@5 82.812 (82.224)
Epoch: [82][4200/14090]	Time 0.759 (0.751)	Data 0.001 (0.002)	Loss 1.6489 (1.7895)	Prec@1 51.562 (52.960)	Prec@5 85.156 (82.227)
Epoch: [82][4210/14090]	Time 0.729 (0.751)	Data 0.001 (0.002)	Loss 1.8468 (1.7896)	Prec@1 50.781 (52.957)	Prec@5 83.594 (82.227)
Epoch: [82][4220/14090]	Time 0.782 (0.751)	Data 0.001 (0.002)	Loss 1.8159 (1.7896)	Prec@1 53.125 (52.960)	Prec@5 79.688 (82.226)
Epoch: [82][4230/14090]	Time 0.745 (0.751)	Data 0.001 (0.002)	Loss 1.8660 (1.7896)	Prec@1 50.000 (52.959)	Prec@5 78.906 (82.225)
Epoch: [82][4240/14090]	Time 0.737 (0.751)	Data 0.001 (0.002)	Loss 2.0186 (1.7897)	Prec@1 46.875 (52.960)	Prec@5 78.906 (82.223)
Epoch: [82][4250/14090]	Time 0.727 (0.751)	Data 0.002 (0.002)	Loss 1.6582 (1.7895)	Prec@1 54.688 (52.961)	Prec@5 87.500 (82.227)
Epoch: [82][4260/14090]	Time 0.769 (0.751)	Data 0.001 (0.002)	Loss 1.8023 (1.7896)	Prec@1 53.125 (52.961)	Prec@5 81.250 (82.223)
Epoch: [82][4270/14090]	Time 0.729 (0.751)	Data 0.001 (0.002)	Loss 1.9380 (1.7896)	Prec@1 49.219 (52.959)	Prec@5 83.594 (82.223)
Epoch: [82][4280/14090]	Time 0.752 (0.751)	Data 0.001 (0.002)	Loss 1.4885 (1.7896)	Prec@1 63.281 (52.961)	Prec@5 88.281 (82.226)
Epoch: [82][4290/14090]	Time 0.735 (0.751)	Data 0.001 (0.002)	Loss 1.6403 (1.7896)	Prec@1 56.250 (52.961)	Prec@5 82.812 (82.226)
Epoch: [82][4300/14090]	Time 0.765 (0.751)	Data 0.001 (0.002)	Loss 1.6133 (1.7895)	Prec@1 55.469 (52.961)	Prec@5 89.062 (82.227)
Epoch: [82][4310/14090]	Time 0.729 (0.751)	Data 0.001 (0.002)	Loss 1.8873 (1.7897)	Prec@1 52.344 (52.960)	Prec@5 80.469 (82.226)
Epoch: [82][4320/14090]	Time 0.726 (0.751)	Data 0.002 (0.002)	Loss 1.5225 (1.7895)	Prec@1 57.031 (52.958)	Prec@5 89.062 (82.231)
Epoch: [82][4330/14090]	Time 0.734 (0.751)	Data 0.001 (0.002)	Loss 1.8591 (1.7896)	Prec@1 48.438 (52.957)	Prec@5 82.031 (82.232)
Epoch: [82][4340/14090]	Time 0.771 (0.751)	Data 0.001 (0.002)	Loss 2.0378 (1.7896)	Prec@1 45.312 (52.956)	Prec@5 80.469 (82.229)
Epoch: [82][4350/14090]	Time 0.765 (0.751)	Data 0.001 (0.002)	Loss 1.8670 (1.7897)	Prec@1 47.656 (52.953)	Prec@5 79.688 (82.230)
Epoch: [82][4360/14090]	Time 0.730 (0.751)	Data 0.001 (0.002)	Loss 1.7494 (1.7898)	Prec@1 51.562 (52.951)	Prec@5 81.250 (82.228)
Epoch: [82][4370/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 1.5973 (1.7897)	Prec@1 53.125 (52.953)	Prec@5 87.500 (82.231)
Epoch: [82][4380/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 1.8580 (1.7898)	Prec@1 50.000 (52.952)	Prec@5 86.719 (82.229)
Epoch: [82][4390/14090]	Time 0.775 (0.751)	Data 0.002 (0.002)	Loss 1.6389 (1.7898)	Prec@1 57.812 (52.953)	Prec@5 87.500 (82.230)
Epoch: [82][4400/14090]	Time 0.775 (0.751)	Data 0.001 (0.002)	Loss 1.9366 (1.7897)	Prec@1 50.781 (52.954)	Prec@5 83.594 (82.235)
Epoch: [82][4410/14090]	Time 0.744 (0.751)	Data 0.001 (0.002)	Loss 1.7285 (1.7898)	Prec@1 50.000 (52.950)	Prec@5 85.938 (82.234)
Epoch: [82][4420/14090]	Time 0.758 (0.751)	Data 0.001 (0.002)	Loss 2.0724 (1.7899)	Prec@1 49.219 (52.949)	Prec@5 75.000 (82.231)
Epoch: [82][4430/14090]	Time 0.732 (0.751)	Data 0.001 (0.002)	Loss 1.8942 (1.7898)	Prec@1 52.344 (52.952)	Prec@5 78.125 (82.231)
Epoch: [82][4440/14090]	Time 0.777 (0.751)	Data 0.001 (0.002)	Loss 2.0057 (1.7898)	Prec@1 51.562 (52.953)	Prec@5 79.688 (82.229)
Epoch: [82][4450/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 1.9246 (1.7898)	Prec@1 53.906 (52.954)	Prec@5 79.688 (82.230)
Epoch: [82][4460/14090]	Time 0.735 (0.751)	Data 0.002 (0.002)	Loss 1.8606 (1.7898)	Prec@1 56.250 (52.956)	Prec@5 81.250 (82.230)
Epoch: [82][4470/14090]	Time 0.737 (0.751)	Data 0.001 (0.002)	Loss 1.9438 (1.7898)	Prec@1 48.438 (52.956)	Prec@5 80.469 (82.231)
Epoch: [82][4480/14090]	Time 0.737 (0.751)	Data 0.001 (0.002)	Loss 2.0519 (1.7898)	Prec@1 50.781 (52.959)	Prec@5 76.562 (82.230)
Epoch: [82][4490/14090]	Time 0.787 (0.751)	Data 0.001 (0.002)	Loss 2.2158 (1.7900)	Prec@1 42.188 (52.956)	Prec@5 75.781 (82.230)
Epoch: [82][4500/14090]	Time 0.737 (0.751)	Data 0.001 (0.002)	Loss 1.6346 (1.7900)	Prec@1 56.250 (52.955)	Prec@5 85.938 (82.234)
Epoch: [82][4510/14090]	Time 0.746 (0.751)	Data 0.001 (0.002)	Loss 1.6532 (1.7901)	Prec@1 59.375 (52.951)	Prec@5 82.812 (82.230)
Epoch: [82][4520/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 1.7856 (1.7902)	Prec@1 51.562 (52.947)	Prec@5 80.469 (82.227)
Epoch: [82][4530/14090]	Time 0.728 (0.751)	Data 0.002 (0.002)	Loss 1.8450 (1.7902)	Prec@1 54.688 (52.950)	Prec@5 83.594 (82.225)
Epoch: [82][4540/14090]	Time 0.740 (0.751)	Data 0.001 (0.002)	Loss 1.7324 (1.7901)	Prec@1 57.031 (52.950)	Prec@5 84.375 (82.226)
Epoch: [82][4550/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 1.7810 (1.7903)	Prec@1 58.594 (52.950)	Prec@5 82.031 (82.223)
Epoch: [82][4560/14090]	Time 0.761 (0.751)	Data 0.001 (0.002)	Loss 1.9776 (1.7903)	Prec@1 46.094 (52.951)	Prec@5 77.344 (82.224)
Epoch: [82][4570/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 1.9597 (1.7903)	Prec@1 50.000 (52.949)	Prec@5 77.344 (82.224)
Epoch: [82][4580/14090]	Time 0.731 (0.751)	Data 0.001 (0.002)	Loss 1.6020 (1.7903)	Prec@1 57.031 (52.947)	Prec@5 82.031 (82.222)
Epoch: [82][4590/14090]	Time 0.751 (0.751)	Data 0.001 (0.002)	Loss 1.8430 (1.7904)	Prec@1 51.562 (52.945)	Prec@5 82.812 (82.223)
Epoch: [82][4600/14090]	Time 0.744 (0.751)	Data 0.002 (0.002)	Loss 1.7399 (1.7904)	Prec@1 53.125 (52.946)	Prec@5 84.375 (82.223)
Epoch: [82][4610/14090]	Time 0.729 (0.751)	Data 0.001 (0.002)	Loss 2.1731 (1.7903)	Prec@1 51.562 (52.948)	Prec@5 72.656 (82.224)
Epoch: [82][4620/14090]	Time 0.737 (0.751)	Data 0.001 (0.002)	Loss 1.8215 (1.7904)	Prec@1 54.688 (52.944)	Prec@5 78.906 (82.221)
Epoch: [82][4630/14090]	Time 0.773 (0.751)	Data 0.001 (0.002)	Loss 1.8088 (1.7903)	Prec@1 54.688 (52.946)	Prec@5 81.250 (82.221)
Epoch: [82][4640/14090]	Time 0.777 (0.751)	Data 0.001 (0.002)	Loss 1.9491 (1.7904)	Prec@1 50.781 (52.945)	Prec@5 78.125 (82.222)
Epoch: [82][4650/14090]	Time 0.740 (0.751)	Data 0.001 (0.002)	Loss 1.6682 (1.7903)	Prec@1 57.812 (52.946)	Prec@5 85.938 (82.225)
Epoch: [82][4660/14090]	Time 0.757 (0.751)	Data 0.001 (0.002)	Loss 1.8430 (1.7903)	Prec@1 55.469 (52.945)	Prec@5 84.375 (82.225)
Epoch: [82][4670/14090]	Time 0.734 (0.751)	Data 0.002 (0.002)	Loss 1.8551 (1.7904)	Prec@1 52.344 (52.940)	Prec@5 78.906 (82.223)
Epoch: [82][4680/14090]	Time 0.743 (0.751)	Data 0.001 (0.002)	Loss 1.9342 (1.7903)	Prec@1 52.344 (52.943)	Prec@5 81.250 (82.226)
Epoch: [82][4690/14090]	Time 0.756 (0.751)	Data 0.001 (0.002)	Loss 1.4963 (1.7902)	Prec@1 60.156 (52.947)	Prec@5 84.375 (82.229)
Epoch: [82][4700/14090]	Time 0.751 (0.751)	Data 0.001 (0.002)	Loss 1.7941 (1.7901)	Prec@1 56.250 (52.950)	Prec@5 81.250 (82.227)
Epoch: [82][4710/14090]	Time 0.776 (0.751)	Data 0.001 (0.002)	Loss 1.8850 (1.7901)	Prec@1 53.125 (52.952)	Prec@5 82.031 (82.226)
Epoch: [82][4720/14090]	Time 0.767 (0.751)	Data 0.001 (0.002)	Loss 1.6392 (1.7900)	Prec@1 57.812 (52.950)	Prec@5 79.688 (82.226)
Epoch: [82][4730/14090]	Time 0.729 (0.751)	Data 0.001 (0.002)	Loss 1.8310 (1.7900)	Prec@1 50.000 (52.951)	Prec@5 81.250 (82.226)
Epoch: [82][4740/14090]	Time 0.765 (0.751)	Data 0.002 (0.002)	Loss 1.8090 (1.7899)	Prec@1 52.344 (52.953)	Prec@5 81.250 (82.224)
Epoch: [82][4750/14090]	Time 0.726 (0.751)	Data 0.001 (0.002)	Loss 1.8273 (1.7901)	Prec@1 53.125 (52.947)	Prec@5 81.250 (82.224)
Epoch: [82][4760/14090]	Time 0.796 (0.751)	Data 0.001 (0.002)	Loss 1.3985 (1.7900)	Prec@1 65.625 (52.949)	Prec@5 87.500 (82.229)
Epoch: [82][4770/14090]	Time 0.770 (0.751)	Data 0.001 (0.002)	Loss 1.7875 (1.7900)	Prec@1 50.781 (52.950)	Prec@5 83.594 (82.224)
Epoch: [82][4780/14090]	Time 0.741 (0.751)	Data 0.001 (0.002)	Loss 1.8778 (1.7900)	Prec@1 48.438 (52.952)	Prec@5 78.125 (82.224)
Epoch: [82][4790/14090]	Time 0.742 (0.751)	Data 0.001 (0.002)	Loss 2.0518 (1.7901)	Prec@1 42.188 (52.951)	Prec@5 78.125 (82.221)
Epoch: [82][4800/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 1.8403 (1.7900)	Prec@1 49.219 (52.954)	Prec@5 78.125 (82.222)
Epoch: [82][4810/14090]	Time 0.728 (0.751)	Data 0.002 (0.002)	Loss 1.6555 (1.7899)	Prec@1 53.125 (52.956)	Prec@5 78.906 (82.222)
Epoch: [82][4820/14090]	Time 0.737 (0.751)	Data 0.001 (0.002)	Loss 1.6909 (1.7901)	Prec@1 53.125 (52.953)	Prec@5 84.375 (82.217)
Epoch: [82][4830/14090]	Time 0.726 (0.751)	Data 0.001 (0.002)	Loss 2.0542 (1.7903)	Prec@1 47.656 (52.948)	Prec@5 75.781 (82.209)
Epoch: [82][4840/14090]	Time 0.758 (0.751)	Data 0.001 (0.002)	Loss 1.6234 (1.7903)	Prec@1 54.688 (52.945)	Prec@5 85.938 (82.210)
Epoch: [82][4850/14090]	Time 0.744 (0.751)	Data 0.001 (0.002)	Loss 1.7236 (1.7902)	Prec@1 48.438 (52.948)	Prec@5 84.375 (82.213)
Epoch: [82][4860/14090]	Time 0.729 (0.751)	Data 0.001 (0.002)	Loss 1.5775 (1.7903)	Prec@1 60.938 (52.947)	Prec@5 83.594 (82.209)
Epoch: [82][4870/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 1.8556 (1.7903)	Prec@1 51.562 (52.948)	Prec@5 81.250 (82.211)
Epoch: [82][4880/14090]	Time 0.784 (0.751)	Data 0.002 (0.002)	Loss 1.5026 (1.7901)	Prec@1 64.062 (52.949)	Prec@5 83.594 (82.212)
Epoch: [82][4890/14090]	Time 0.730 (0.751)	Data 0.001 (0.002)	Loss 1.8764 (1.7902)	Prec@1 50.781 (52.945)	Prec@5 80.469 (82.210)
Epoch: [82][4900/14090]	Time 0.742 (0.751)	Data 0.001 (0.002)	Loss 1.6682 (1.7904)	Prec@1 54.688 (52.939)	Prec@5 86.719 (82.208)
Epoch: [82][4910/14090]	Time 0.728 (0.751)	Data 0.001 (0.002)	Loss 2.0408 (1.7904)	Prec@1 46.094 (52.937)	Prec@5 75.781 (82.210)
Epoch: [82][4920/14090]	Time 0.761 (0.751)	Data 0.001 (0.002)	Loss 1.4475 (1.7903)	Prec@1 63.281 (52.938)	Prec@5 90.625 (82.214)
Epoch: [82][4930/14090]	Time 0.736 (0.751)	Data 0.001 (0.002)	Loss 1.7887 (1.7903)	Prec@1 51.562 (52.940)	Prec@5 82.031 (82.215)
Epoch: [82][4940/14090]	Time 0.731 (0.751)	Data 0.001 (0.002)	Loss 1.6520 (1.7903)	Prec@1 58.594 (52.939)	Prec@5 85.156 (82.216)
Epoch: [82][4950/14090]	Time 0.752 (0.751)	Data 0.003 (0.002)	Loss 1.9099 (1.7904)	Prec@1 50.000 (52.937)	Prec@5 76.562 (82.216)
Epoch: [82][4960/14090]	Time 0.768 (0.751)	Data 0.001 (0.002)	Loss 1.6301 (1.7903)	Prec@1 53.906 (52.936)	Prec@5 87.500 (82.217)
Epoch: [82][4970/14090]	Time 0.748 (0.751)	Data 0.001 (0.002)	Loss 1.4161 (1.7902)	Prec@1 60.156 (52.941)	Prec@5 88.281 (82.218)
Epoch: [82][4980/14090]	Time 0.733 (0.751)	Data 0.001 (0.002)	Loss 1.7257 (1.7903)	Prec@1 55.469 (52.939)	Prec@5 82.812 (82.216)
Epoch: [82][4990/14090]	Time 0.777 (0.751)	Data 0.001 (0.002)	Loss 1.8516 (1.7904)	Prec@1 51.562 (52.937)	Prec@5 79.688 (82.215)
Epoch: [82][5000/14090]	Time 0.751 (0.751)	Data 0.001 (0.002)	Loss 1.7060 (1.7903)	Prec@1 55.469 (52.941)	Prec@5 84.375 (82.216)
Epoch: [82][5010/14090]	Time 0.727 (0.751)	Data 0.001 (0.002)	Loss 1.6738 (1.7904)	Prec@1 56.250 (52.939)	Prec@5 83.594 (82.216)
Epoch: [82][5020/14090]	Time 0.735 (0.751)	Data 0.002 (0.002)	Loss 1.5759 (1.7904)	Prec@1 53.906 (52.938)	Prec@5 87.500 (82.215)
Epoch: [82][5030/14090]	Time 0.730 (0.751)	Data 0.001 (0.002)	Loss 1.7088 (1.7904)	Prec@1 49.219 (52.939)	Prec@5 85.156 (82.218)
Epoch: [82][5040/14090]	Time 0.733 (0.751)	Data 0.001 (0.002)	Loss 1.7537 (1.7905)	Prec@1 53.906 (52.935)	Prec@5 81.250 (82.219)
Epoch: [82][5050/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 1.7260 (1.7905)	Prec@1 51.562 (52.935)	Prec@5 83.594 (82.220)
Epoch: [82][5060/14090]	Time 0.723 (0.751)	Data 0.001 (0.002)	Loss 2.0402 (1.7906)	Prec@1 48.438 (52.935)	Prec@5 76.562 (82.218)
Epoch: [82][5070/14090]	Time 0.730 (0.751)	Data 0.001 (0.002)	Loss 2.1926 (1.7906)	Prec@1 41.406 (52.938)	Prec@5 75.000 (82.218)
Epoch: [82][5080/14090]	Time 0.747 (0.751)	Data 0.002 (0.002)	Loss 1.9182 (1.7904)	Prec@1 46.094 (52.943)	Prec@5 79.688 (82.222)
Epoch: [82][5090/14090]	Time 0.753 (0.751)	Data 0.002 (0.002)	Loss 1.5715 (1.7904)	Prec@1 56.250 (52.943)	Prec@5 85.938 (82.225)
Epoch: [82][5100/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 1.9564 (1.7907)	Prec@1 47.656 (52.936)	Prec@5 80.469 (82.219)
Epoch: [82][5110/14090]	Time 0.736 (0.751)	Data 0.001 (0.002)	Loss 2.0638 (1.7909)	Prec@1 48.438 (52.931)	Prec@5 78.125 (82.217)
Epoch: [82][5120/14090]	Time 0.740 (0.751)	Data 0.001 (0.002)	Loss 1.7168 (1.7909)	Prec@1 53.906 (52.932)	Prec@5 85.938 (82.215)
Epoch: [82][5130/14090]	Time 0.732 (0.751)	Data 0.001 (0.002)	Loss 1.6986 (1.7908)	Prec@1 55.469 (52.933)	Prec@5 82.812 (82.215)
Epoch: [82][5140/14090]	Time 0.751 (0.751)	Data 0.001 (0.002)	Loss 1.8530 (1.7908)	Prec@1 57.812 (52.933)	Prec@5 85.938 (82.218)
Epoch: [82][5150/14090]	Time 0.751 (0.751)	Data 0.001 (0.002)	Loss 1.6973 (1.7907)	Prec@1 57.812 (52.937)	Prec@5 82.812 (82.219)
Epoch: [82][5160/14090]	Time 0.739 (0.751)	Data 0.002 (0.002)	Loss 1.7126 (1.7904)	Prec@1 53.906 (52.940)	Prec@5 82.031 (82.223)
Epoch: [82][5170/14090]	Time 0.742 (0.751)	Data 0.001 (0.002)	Loss 1.8883 (1.7905)	Prec@1 47.656 (52.940)	Prec@5 77.344 (82.221)
Epoch: [82][5180/14090]	Time 0.729 (0.751)	Data 0.001 (0.002)	Loss 1.6075 (1.7906)	Prec@1 58.594 (52.935)	Prec@5 86.719 (82.216)
Epoch: [82][5190/14090]	Time 0.745 (0.751)	Data 0.001 (0.002)	Loss 1.5560 (1.7906)	Prec@1 64.062 (52.937)	Prec@5 88.281 (82.217)
Epoch: [82][5200/14090]	Time 0.741 (0.751)	Data 0.001 (0.002)	Loss 1.6571 (1.7905)	Prec@1 55.469 (52.937)	Prec@5 86.719 (82.218)
Epoch: [82][5210/14090]	Time 0.741 (0.751)	Data 0.001 (0.002)	Loss 1.7179 (1.7905)	Prec@1 57.812 (52.937)	Prec@5 77.344 (82.217)
Epoch: [82][5220/14090]	Time 0.773 (0.751)	Data 0.001 (0.002)	Loss 1.6387 (1.7906)	Prec@1 53.125 (52.938)	Prec@5 82.812 (82.216)
Epoch: [82][5230/14090]	Time 0.731 (0.751)	Data 0.002 (0.002)	Loss 1.7484 (1.7905)	Prec@1 53.125 (52.939)	Prec@5 82.812 (82.217)
Epoch: [82][5240/14090]	Time 0.744 (0.751)	Data 0.001 (0.002)	Loss 1.9992 (1.7905)	Prec@1 53.906 (52.940)	Prec@5 78.906 (82.213)
Epoch: [82][5250/14090]	Time 0.742 (0.751)	Data 0.002 (0.002)	Loss 2.0007 (1.7905)	Prec@1 54.688 (52.941)	Prec@5 78.906 (82.214)
Epoch: [82][5260/14090]	Time 0.738 (0.751)	Data 0.001 (0.002)	Loss 1.9183 (1.7904)	Prec@1 50.000 (52.945)	Prec@5 79.688 (82.217)
Epoch: [82][5270/14090]	Time 0.774 (0.751)	Data 0.001 (0.002)	Loss 1.8121 (1.7902)	Prec@1 49.219 (52.950)	Prec@5 84.375 (82.221)
Epoch: [82][5280/14090]	Time 0.770 (0.751)	Data 0.001 (0.002)	Loss 1.6931 (1.7901)	Prec@1 52.344 (52.950)	Prec@5 88.281 (82.223)
Epoch: [82][5290/14090]	Time 0.735 (0.751)	Data 0.001 (0.002)	Loss 1.8801 (1.7902)	Prec@1 51.562 (52.949)	Prec@5 83.594 (82.220)
Epoch: [82][5300/14090]	Time 0.729 (0.751)	Data 0.003 (0.002)	Loss 1.8357 (1.7901)	Prec@1 54.688 (52.951)	Prec@5 82.031 (82.224)
Epoch: [82][5310/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 1.6547 (1.7900)	Prec@1 54.688 (52.955)	Prec@5 83.594 (82.226)
Epoch: [82][5320/14090]	Time 0.731 (0.751)	Data 0.001 (0.002)	Loss 1.9514 (1.7900)	Prec@1 51.562 (52.955)	Prec@5 76.562 (82.227)
Epoch: [82][5330/14090]	Time 0.743 (0.751)	Data 0.001 (0.002)	Loss 1.9030 (1.7899)	Prec@1 49.219 (52.958)	Prec@5 78.125 (82.228)
Epoch: [82][5340/14090]	Time 0.732 (0.751)	Data 0.001 (0.002)	Loss 1.6344 (1.7900)	Prec@1 57.031 (52.954)	Prec@5 86.719 (82.227)
Epoch: [82][5350/14090]	Time 0.743 (0.751)	Data 0.001 (0.002)	Loss 1.5928 (1.7900)	Prec@1 60.156 (52.957)	Prec@5 88.281 (82.228)
Epoch: [82][5360/14090]	Time 0.775 (0.751)	Data 0.001 (0.002)	Loss 1.7509 (1.7899)	Prec@1 52.344 (52.957)	Prec@5 80.469 (82.229)
Epoch: [82][5370/14090]	Time 0.773 (0.751)	Data 0.002 (0.002)	Loss 1.6051 (1.7899)	Prec@1 61.719 (52.959)	Prec@5 85.156 (82.230)
Epoch: [82][5380/14090]	Time 0.749 (0.751)	Data 0.001 (0.002)	Loss 1.7636 (1.7900)	Prec@1 54.688 (52.958)	Prec@5 78.125 (82.228)
Epoch: [82][5390/14090]	Time 0.782 (0.751)	Data 0.001 (0.002)	Loss 1.8969 (1.7901)	Prec@1 51.562 (52.958)	Prec@5 79.688 (82.226)
Epoch: [82][5400/14090]	Time 0.775 (0.751)	Data 0.001 (0.002)	Loss 1.8270 (1.7902)	Prec@1 57.031 (52.959)	Prec@5 86.719 (82.228)
Epoch: [82][5410/14090]	Time 0.732 (0.751)	Data 0.001 (0.002)	Loss 1.5425 (1.7902)	Prec@1 58.594 (52.959)	Prec@5 87.500 (82.227)
Epoch: [82][5420/14090]	Time 0.776 (0.751)	Data 0.001 (0.002)	Loss 1.6809 (1.7902)	Prec@1 58.594 (52.957)	Prec@5 82.812 (82.227)
Epoch: [82][5430/14090]	Time 0.775 (0.751)	Data 0.001 (0.002)	Loss 1.6609 (1.7900)	Prec@1 57.812 (52.962)	Prec@5 83.594 (82.230)
Epoch: [82][5440/14090]	Time 0.734 (0.751)	Data 0.002 (0.002)	Loss 1.8065 (1.7900)	Prec@1 53.125 (52.965)	Prec@5 82.031 (82.231)
Epoch: [82][5450/14090]	Time 0.762 (0.751)	Data 0.001 (0.002)	Loss 1.5945 (1.7898)	Prec@1 55.469 (52.971)	Prec@5 85.156 (82.234)
Epoch: [82][5460/14090]	Time 0.749 (0.751)	Data 0.001 (0.002)	Loss 1.9969 (1.7898)	Prec@1 46.875 (52.970)	Prec@5 78.125 (82.234)
Epoch: [82][5470/14090]	Time 0.774 (0.751)	Data 0.001 (0.002)	Loss 1.5442 (1.7897)	Prec@1 53.906 (52.970)	Prec@5 86.719 (82.235)
Epoch: [82][5480/14090]	Time 0.744 (0.751)	Data 0.001 (0.002)	Loss 1.7992 (1.7896)	Prec@1 50.781 (52.974)	Prec@5 78.125 (82.234)
Epoch: [82][5490/14090]	Time 0.774 (0.751)	Data 0.001 (0.002)	Loss 1.9344 (1.7897)	Prec@1 51.562 (52.969)	Prec@5 76.562 (82.233)
Epoch: [82][5500/14090]	Time 0.772 (0.751)	Data 0.001 (0.002)	Loss 1.8897 (1.7896)	Prec@1 50.781 (52.972)	Prec@5 81.250 (82.233)
Epoch: [82][5510/14090]	Time 0.748 (0.751)	Data 0.002 (0.002)	Loss 1.6983 (1.7897)	Prec@1 54.688 (52.969)	Prec@5 81.250 (82.231)
Epoch: [82][5520/14090]	Time 0.740 (0.751)	Data 0.001 (0.002)	Loss 1.5848 (1.7897)	Prec@1 61.719 (52.971)	Prec@5 83.594 (82.232)
Epoch: [82][5530/14090]	Time 0.727 (0.751)	Data 0.001 (0.002)	Loss 1.6149 (1.7897)	Prec@1 54.688 (52.973)	Prec@5 84.375 (82.232)
Epoch: [82][5540/14090]	Time 0.757 (0.751)	Data 0.001 (0.002)	Loss 1.6632 (1.7896)	Prec@1 55.469 (52.972)	Prec@5 85.938 (82.234)
Epoch: [82][5550/14090]	Time 0.741 (0.751)	Data 0.001 (0.002)	Loss 1.7766 (1.7896)	Prec@1 48.438 (52.974)	Prec@5 84.375 (82.235)
Epoch: [82][5560/14090]	Time 0.724 (0.751)	Data 0.001 (0.002)	Loss 1.8184 (1.7897)	Prec@1 55.469 (52.974)	Prec@5 82.031 (82.235)
Epoch: [82][5570/14090]	Time 0.734 (0.751)	Data 0.001 (0.002)	Loss 1.7274 (1.7895)	Prec@1 54.688 (52.977)	Prec@5 85.156 (82.237)
Epoch: [82][5580/14090]	Time 0.749 (0.751)	Data 0.002 (0.002)	Loss 1.9610 (1.7896)	Prec@1 49.219 (52.975)	Prec@5 81.250 (82.236)
Epoch: [82][5590/14090]	Time 0.756 (0.751)	Data 0.001 (0.002)	Loss 1.7991 (1.7896)	Prec@1 49.219 (52.979)	Prec@5 81.250 (82.237)
Epoch: [82][5600/14090]	Time 0.732 (0.751)	Data 0.001 (0.002)	Loss 1.8327 (1.7896)	Prec@1 56.250 (52.980)	Prec@5 81.250 (82.239)
Epoch: [82][5610/14090]	Time 0.765 (0.751)	Data 0.001 (0.002)	Loss 2.0261 (1.7895)	Prec@1 46.094 (52.983)	Prec@5 77.344 (82.237)
Epoch: [82][5620/14090]	Time 0.740 (0.751)	Data 0.001 (0.002)	Loss 1.9364 (1.7894)	Prec@1 50.000 (52.987)	Prec@5 76.562 (82.238)
Epoch: [82][5630/14090]	Time 0.765 (0.751)	Data 0.001 (0.002)	Loss 2.0116 (1.7894)	Prec@1 42.969 (52.985)	Prec@5 78.906 (82.239)
Epoch: [82][5640/14090]	Time 0.756 (0.751)	Data 0.001 (0.002)	Loss 1.6972 (1.7892)	Prec@1 55.469 (52.987)	Prec@5 85.938 (82.243)
Epoch: [82][5650/14090]	Time 0.742 (0.751)	Data 0.002 (0.002)	Loss 1.7901 (1.7892)	Prec@1 53.125 (52.986)	Prec@5 85.938 (82.245)
Epoch: [82][5660/14090]	Time 0.739 (0.751)	Data 0.001 (0.002)	Loss 1.8527 (1.7892)	Prec@1 50.000 (52.984)	Prec@5 83.594 (82.245)
Epoch: [82][5670/14090]	Time 0.749 (0.751)	Data 0.001 (0.002)	Loss 1.8662 (1.7894)	Prec@1 56.250 (52.981)	Prec@5 77.344 (82.242)
Epoch: [82][5680/14090]	Time 0.744 (0.751)	Data 0.001 (0.002)	Loss 1.5399 (1.7894)	Prec@1 58.594 (52.979)	Prec@5 83.594 (82.240)
Epoch: [82][5690/14090]	Time 0.747 (0.751)	Data 0.001 (0.002)	Loss 1.7622 (1.7893)	Prec@1 53.906 (52.983)	Prec@5 84.375 (82.242)
Epoch: [82][5700/14090]	Time 0.757 (0.751)	Data 0.001 (0.002)	Loss 1.6591 (1.7892)	Prec@1 50.781 (52.983)	Prec@5 85.156 (82.244)
Epoch: [82][5710/14090]	Time 0.729 (0.751)	Data 0.001 (0.002)	Loss 1.5821 (1.7891)	Prec@1 60.938 (52.985)	Prec@5 83.594 (82.244)
Epoch: [82][5720/14090]	Time 0.744 (0.751)	Data 0.002 (0.002)	Loss 1.9587 (1.7891)	Prec@1 51.562 (52.986)	Prec@5 77.344 (82.244)
Epoch: [82][5730/14090]	Time 0.734 (0.751)	Data 0.001 (0.002)	Loss 2.0495 (1.7893)	Prec@1 49.219 (52.982)	Prec@5 78.906 (82.240)
Epoch: [82][5740/14090]	Time 0.742 (0.751)	Data 0.001 (0.002)	Loss 1.8996 (1.7893)	Prec@1 50.781 (52.981)	Prec@5 77.344 (82.240)
Epoch: [82][5750/14090]	Time 0.750 (0.751)	Data 0.001 (0.002)	Loss 1.6247 (1.7893)	Prec@1 59.375 (52.981)	Prec@5 86.719 (82.241)
Epoch: [82][5760/14090]	Time 0.725 (0.751)	Data 0.001 (0.002)	Loss 1.8026 (1.7893)	Prec@1 52.344 (52.981)	Prec@5 84.375 (82.243)
Epoch: [82][5770/14090]	Time 0.771 (0.751)	Data 0.001 (0.002)	Loss 1.5845 (1.7892)	Prec@1 56.250 (52.986)	Prec@5 85.938 (82.244)
Epoch: [82][5780/14090]	Time 0.730 (0.751)	Data 0.001 (0.002)	Loss 1.9708 (1.7893)	Prec@1 47.656 (52.981)	Prec@5 79.688 (82.243)
Epoch: [82][5790/14090]	Time 0.738 (0.751)	Data 0.002 (0.002)	Loss 1.7964 (1.7893)	Prec@1 57.031 (52.980)	Prec@5 80.469 (82.244)
Epoch: [82][5800/14090]	Time 0.742 (0.751)	Data 0.001 (0.002)	Loss 1.8086 (1.7895)	Prec@1 53.906 (52.979)	Prec@5 80.469 (82.242)
Epoch: [82][5810/14090]	Time 0.735 (0.751)	Data 0.001 (0.002)	Loss 1.8080 (1.7896)	Prec@1 54.688 (52.979)	Prec@5 82.812 (82.241)
Epoch: [82][5820/14090]	Time 0.740 (0.751)	Data 0.001 (0.002)	Loss 2.2471 (1.7897)	Prec@1 43.750 (52.976)	Prec@5 75.000 (82.240)
Epoch: [82][5830/14090]	Time 0.756 (0.751)	Data 0.001 (0.002)	Loss 1.7733 (1.7897)	Prec@1 55.469 (52.977)	Prec@5 81.250 (82.241)
Epoch: [82][5840/14090]	Time 0.734 (0.751)	Data 0.001 (0.002)	Loss 1.8358 (1.7897)	Prec@1 53.906 (52.980)	Prec@5 78.906 (82.239)
Epoch: [82][5850/14090]	Time 0.752 (0.751)	Data 0.001 (0.002)	Loss 1.6628 (1.7897)	Prec@1 57.812 (52.979)	Prec@5 86.719 (82.238)
Epoch: [82][5860/14090]	Time 0.746 (0.751)	Data 0.002 (0.002)	Loss 1.6869 (1.7896)	Prec@1 57.812 (52.982)	Prec@5 82.031 (82.239)
Epoch: [82][5870/14090]	Time 0.775 (0.751)	Data 0.001 (0.002)	Loss 1.8980 (1.7896)	Prec@1 53.125 (52.982)	Prec@5 78.125 (82.238)
Epoch: [82][5880/14090]	Time 0.755 (0.751)	Data 0.001 (0.002)	Loss 1.9069 (1.7895)	Prec@1 53.906 (52.983)	Prec@5 83.594 (82.242)
Epoch: [82][5890/14090]	Time 0.738 (0.751)	Data 0.001 (0.002)	Loss 1.6060 (1.7896)	Prec@1 50.781 (52.981)	Prec@5 83.594 (82.241)
Epoch: [82][5900/14090]	Time 0.740 (0.751)	Data 0.001 (0.002)	Loss 1.7323 (1.7895)	Prec@1 55.469 (52.982)	Prec@5 85.938 (82.244)
Epoch: [82][5910/14090]	Time 0.735 (0.751)	Data 0.001 (0.002)	Loss 1.6710 (1.7894)	Prec@1 57.031 (52.985)	Prec@5 85.156 (82.245)
Epoch: [82][5920/14090]	Time 0.732 (0.751)	Data 0.001 (0.002)	Loss 1.7559 (1.7894)	Prec@1 54.688 (52.985)	Prec@5 82.031 (82.245)
Epoch: [82][5930/14090]	Time 0.776 (0.751)	Data 0.002 (0.002)	Loss 1.7289 (1.7895)	Prec@1 58.594 (52.987)	Prec@5 83.594 (82.244)
Epoch: [82][5940/14090]	Time 0.737 (0.751)	Data 0.001 (0.002)	Loss 1.7384 (1.7897)	Prec@1 56.250 (52.985)	Prec@5 83.594 (82.240)
Epoch: [82][5950/14090]	Time 0.730 (0.751)	Data 0.001 (0.002)	Loss 1.7451 (1.7898)	Prec@1 53.125 (52.987)	Prec@5 81.250 (82.238)
Epoch: [82][5960/14090]	Time 0.768 (0.751)	Data 0.001 (0.002)	Loss 1.6515 (1.7898)	Prec@1 57.031 (52.984)	Prec@5 86.719 (82.237)
Epoch: [82][5970/14090]	Time 0.725 (0.751)	Data 0.001 (0.002)	Loss 1.9866 (1.7898)	Prec@1 49.219 (52.987)	Prec@5 77.344 (82.236)
Epoch: [82][5980/14090]	Time 0.783 (0.751)	Data 0.001 (0.002)	Loss 1.9542 (1.7898)	Prec@1 49.219 (52.986)	Prec@5 76.562 (82.236)
Epoch: [82][5990/14090]	Time 0.732 (0.751)	Data 0.001 (0.002)	Loss 1.6967 (1.7899)	Prec@1 51.562 (52.982)	Prec@5 81.250 (82.236)
Epoch: [82][6000/14090]	Time 0.733 (0.751)	Data 0.002 (0.002)	Loss 1.9429 (1.7900)	Prec@1 48.438 (52.980)	Prec@5 79.688 (82.234)
Epoch: [82][6010/14090]	Time 0.753 (0.751)	Data 0.001 (0.002)	Loss 1.5859 (1.7900)	Prec@1 56.250 (52.980)	Prec@5 83.594 (82.233)
Epoch: [82][6020/14090]	Time 0.736 (0.751)	Data 0.001 (0.002)	Loss 2.1078 (1.7901)	Prec@1 42.188 (52.976)	Prec@5 78.906 (82.231)
Epoch: [82][6030/14090]	Time 0.744 (0.751)	Data 0.001 (0.002)	Loss 1.7642 (1.7902)	Prec@1 53.906 (52.974)	Prec@5 83.594 (82.230)
Epoch: [82][6040/14090]	Time 0.749 (0.751)	Data 0.001 (0.002)	Loss 1.7975 (1.7902)	Prec@1 52.344 (52.974)	Prec@5 82.031 (82.230)
Epoch: [82][6050/14090]	Time 0.733 (0.751)	Data 0.001 (0.002)	Loss 1.9170 (1.7902)	Prec@1 50.781 (52.976)	Prec@5 82.031 (82.231)
Epoch: [82][6060/14090]	Time 0.744 (0.751)	Data 0.001 (0.002)	Loss 1.9284 (1.7902)	Prec@1 53.125 (52.975)	Prec@5 76.562 (82.229)
Epoch: [82][6070/14090]	Time 0.756 (0.751)	Data 0.002 (0.002)	Loss 2.0287 (1.7902)	Prec@1 50.000 (52.974)	Prec@5 78.125 (82.230)
Epoch: [82][6080/14090]	Time 0.735 (0.751)	Data 0.001 (0.002)	Loss 1.8996 (1.7902)	Prec@1 53.125 (52.975)	Prec@5 77.344 (82.230)
Epoch: [82][6090/14090]	Time 0.761 (0.751)	Data 0.001 (0.002)	Loss 1.7647 (1.7901)	Prec@1 49.219 (52.975)	Prec@5 84.375 (82.232)
Epoch: [82][6100/14090]	Time 0.748 (0.751)	Data 0.001 (0.002)	Loss 1.8214 (1.7901)	Prec@1 55.469 (52.974)	Prec@5 80.469 (82.232)
Epoch: [82][6110/14090]	Time 0.767 (0.751)	Data 0.001 (0.002)	Loss 1.8198 (1.7902)	Prec@1 54.688 (52.971)	Prec@5 78.906 (82.230)
Epoch: [82][6120/14090]	Time 0.736 (0.751)	Data 0.001 (0.002)	Loss 1.7671 (1.7901)	Prec@1 53.125 (52.973)	Prec@5 84.375 (82.232)
Epoch: [82][6130/14090]	Time 0.769 (0.751)	Data 0.001 (0.002)	Loss 1.7228 (1.7902)	Prec@1 56.250 (52.972)	Prec@5 81.250 (82.232)
Epoch: [82][6140/14090]	Time 0.746 (0.751)	Data 0.002 (0.002)	Loss 1.5423 (1.7900)	Prec@1 58.594 (52.973)	Prec@5 89.062 (82.236)
Epoch: [82][6150/14090]	Time 0.771 (0.751)	Data 0.001 (0.002)	Loss 1.6899 (1.7900)	Prec@1 56.250 (52.976)	Prec@5 78.906 (82.233)
Epoch: [82][6160/14090]	Time 0.754 (0.751)	Data 0.001 (0.002)	Loss 1.8051 (1.7901)	Prec@1 50.781 (52.974)	Prec@5 85.938 (82.232)
Epoch: [82][6170/14090]	Time 0.725 (0.751)	Data 0.001 (0.002)	Loss 1.7791 (1.7901)	Prec@1 52.344 (52.973)	Prec@5 83.594 (82.232)
Epoch: [82][6180/14090]	Time 0.776 (0.751)	Data 0.001 (0.002)	Loss 1.9552 (1.7902)	Prec@1 49.219 (52.971)	Prec@5 77.344 (82.231)
Epoch: [82][6190/14090]	Time 0.730 (0.751)	Data 0.001 (0.002)	Loss 1.6851 (1.7901)	Prec@1 52.344 (52.974)	Prec@5 83.594 (82.231)
Epoch: [82][6200/14090]	Time 0.752 (0.751)	Data 0.001 (0.002)	Loss 1.9746 (1.7903)	Prec@1 49.219 (52.969)	Prec@5 81.250 (82.226)
Epoch: [82][6210/14090]	Time 0.772 (0.751)	Data 0.002 (0.002)	Loss 1.9599 (1.7903)	Prec@1 50.781 (52.967)	Prec@5 77.344 (82.227)
Epoch: [82][6220/14090]	Time 0.731 (0.751)	Data 0.001 (0.002)	Loss 1.9730 (1.7905)	Prec@1 53.906 (52.964)	Prec@5 80.469 (82.224)
Epoch: [82][6230/14090]	Time 0.737 (0.751)	Data 0.001 (0.002)	Loss 1.6507 (1.7904)	Prec@1 53.125 (52.964)	Prec@5 89.062 (82.226)
Epoch: [82][6240/14090]	Time 0.767 (0.751)	Data 0.001 (0.002)	Loss 2.1103 (1.7906)	Prec@1 44.531 (52.959)	Prec@5 77.344 (82.222)
Epoch: [82][6250/14090]	Time 0.733 (0.751)	Data 0.001 (0.002)	Loss 2.1401 (1.7907)	Prec@1 44.531 (52.957)	Prec@5 75.781 (82.220)
Epoch: [82][6260/14090]	Time 0.753 (0.751)	Data 0.001 (0.002)	Loss 1.6285 (1.7907)	Prec@1 48.438 (52.957)	Prec@5 85.938 (82.219)
Epoch: [82][6270/14090]	Time 0.732 (0.751)	Data 0.001 (0.002)	Loss 1.5834 (1.7907)	Prec@1 53.906 (52.956)	Prec@5 85.938 (82.220)
Epoch: [82][6280/14090]	Time 0.735 (0.751)	Data 0.002 (0.002)	Loss 2.0924 (1.7907)	Prec@1 45.312 (52.955)	Prec@5 77.344 (82.220)
Epoch: [82][6290/14090]	Time 0.765 (0.751)	Data 0.001 (0.002)	Loss 1.6997 (1.7907)	Prec@1 61.719 (52.955)	Prec@5 82.812 (82.220)
Epoch: [82][6300/14090]	Time 0.746 (0.751)	Data 0.001 (0.002)	Loss 1.7774 (1.7907)	Prec@1 49.219 (52.954)	Prec@5 84.375 (82.219)
Epoch: [82][6310/14090]	Time 0.732 (0.751)	Data 0.001 (0.002)	Loss 1.7396 (1.7909)	Prec@1 49.219 (52.951)	Prec@5 85.156 (82.215)
Epoch: [82][6320/14090]	Time 0.727 (0.751)	Data 0.001 (0.002)	Loss 1.6182 (1.7908)	Prec@1 59.375 (52.955)	Prec@5 82.031 (82.217)
Epoch: [82][6330/14090]	Time 0.745 (0.751)	Data 0.001 (0.002)	Loss 1.6915 (1.7907)	Prec@1 55.469 (52.959)	Prec@5 81.250 (82.218)
Epoch: [82][6340/14090]	Time 0.750 (0.751)	Data 0.001 (0.002)	Loss 1.8041 (1.7907)	Prec@1 52.344 (52.957)	Prec@5 77.344 (82.215)
Epoch: [82][6350/14090]	Time 0.738 (0.751)	Data 0.002 (0.002)	Loss 1.9808 (1.7907)	Prec@1 47.656 (52.956)	Prec@5 78.125 (82.214)
Epoch: [82][6360/14090]	Time 0.757 (0.751)	Data 0.001 (0.002)	Loss 1.7194 (1.7907)	Prec@1 53.906 (52.958)	Prec@5 85.156 (82.215)
Epoch: [82][6370/14090]	Time 0.732 (0.750)	Data 0.001 (0.002)	Loss 1.7700 (1.7907)	Prec@1 52.344 (52.957)	Prec@5 81.250 (82.214)
Epoch: [82][6380/14090]	Time 0.762 (0.750)	Data 0.001 (0.002)	Loss 1.7850 (1.7907)	Prec@1 51.562 (52.956)	Prec@5 85.156 (82.210)
Epoch: [82][6390/14090]	Time 0.723 (0.750)	Data 0.001 (0.002)	Loss 1.7290 (1.7907)	Prec@1 53.906 (52.957)	Prec@5 86.719 (82.210)
Epoch: [82][6400/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 1.9855 (1.7908)	Prec@1 47.656 (52.956)	Prec@5 79.688 (82.209)
Epoch: [82][6410/14090]	Time 0.755 (0.750)	Data 0.001 (0.002)	Loss 1.8171 (1.7908)	Prec@1 50.000 (52.952)	Prec@5 85.938 (82.212)
Epoch: [82][6420/14090]	Time 0.775 (0.750)	Data 0.002 (0.002)	Loss 1.6423 (1.7908)	Prec@1 54.688 (52.955)	Prec@5 85.938 (82.212)
Epoch: [82][6430/14090]	Time 0.730 (0.750)	Data 0.001 (0.002)	Loss 2.1952 (1.7909)	Prec@1 44.531 (52.950)	Prec@5 71.094 (82.209)
Epoch: [82][6440/14090]	Time 0.743 (0.750)	Data 0.001 (0.002)	Loss 1.7318 (1.7910)	Prec@1 55.469 (52.952)	Prec@5 83.594 (82.207)
Epoch: [82][6450/14090]	Time 0.784 (0.750)	Data 0.001 (0.002)	Loss 1.8161 (1.7911)	Prec@1 50.000 (52.948)	Prec@5 82.031 (82.206)
Epoch: [82][6460/14090]	Time 0.761 (0.750)	Data 0.001 (0.002)	Loss 1.7615 (1.7910)	Prec@1 58.594 (52.950)	Prec@5 78.125 (82.206)
Epoch: [82][6470/14090]	Time 0.746 (0.750)	Data 0.001 (0.002)	Loss 1.5336 (1.7909)	Prec@1 60.938 (52.950)	Prec@5 85.156 (82.205)
Epoch: [82][6480/14090]	Time 0.725 (0.750)	Data 0.001 (0.002)	Loss 1.7608 (1.7910)	Prec@1 51.562 (52.947)	Prec@5 85.156 (82.205)
Epoch: [82][6490/14090]	Time 0.784 (0.750)	Data 0.002 (0.002)	Loss 1.8453 (1.7910)	Prec@1 48.438 (52.948)	Prec@5 81.250 (82.206)
Epoch: [82][6500/14090]	Time 0.743 (0.750)	Data 0.001 (0.002)	Loss 1.7019 (1.7910)	Prec@1 54.688 (52.947)	Prec@5 83.594 (82.207)
Epoch: [82][6510/14090]	Time 0.736 (0.750)	Data 0.001 (0.002)	Loss 1.8294 (1.7911)	Prec@1 50.000 (52.943)	Prec@5 81.250 (82.206)
Epoch: [82][6520/14090]	Time 0.756 (0.750)	Data 0.001 (0.002)	Loss 1.6847 (1.7912)	Prec@1 51.562 (52.941)	Prec@5 84.375 (82.203)
Epoch: [82][6530/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 1.5155 (1.7913)	Prec@1 57.812 (52.940)	Prec@5 85.938 (82.200)
Epoch: [82][6540/14090]	Time 0.766 (0.750)	Data 0.001 (0.002)	Loss 2.0051 (1.7911)	Prec@1 46.875 (52.942)	Prec@5 83.594 (82.204)
Epoch: [82][6550/14090]	Time 0.773 (0.750)	Data 0.001 (0.002)	Loss 1.9387 (1.7911)	Prec@1 52.344 (52.943)	Prec@5 78.125 (82.205)
Epoch: [82][6560/14090]	Time 0.726 (0.750)	Data 0.002 (0.002)	Loss 1.7388 (1.7911)	Prec@1 52.344 (52.944)	Prec@5 81.250 (82.203)
Epoch: [82][6570/14090]	Time 0.761 (0.750)	Data 0.001 (0.002)	Loss 1.8580 (1.7912)	Prec@1 51.562 (52.944)	Prec@5 79.688 (82.200)
Epoch: [82][6580/14090]	Time 0.731 (0.750)	Data 0.001 (0.002)	Loss 1.4851 (1.7911)	Prec@1 54.688 (52.943)	Prec@5 86.719 (82.202)
Epoch: [82][6590/14090]	Time 0.739 (0.750)	Data 0.001 (0.002)	Loss 1.7765 (1.7912)	Prec@1 57.812 (52.942)	Prec@5 86.719 (82.201)
Epoch: [82][6600/14090]	Time 0.779 (0.750)	Data 0.001 (0.002)	Loss 1.6409 (1.7913)	Prec@1 54.688 (52.941)	Prec@5 87.500 (82.202)
Epoch: [82][6610/14090]	Time 0.775 (0.750)	Data 0.001 (0.002)	Loss 1.6108 (1.7912)	Prec@1 58.594 (52.941)	Prec@5 84.375 (82.202)
Epoch: [82][6620/14090]	Time 0.740 (0.750)	Data 0.001 (0.002)	Loss 1.8517 (1.7913)	Prec@1 55.469 (52.940)	Prec@5 80.469 (82.199)
Epoch: [82][6630/14090]	Time 0.769 (0.750)	Data 0.002 (0.002)	Loss 1.7183 (1.7913)	Prec@1 52.344 (52.937)	Prec@5 84.375 (82.200)
Epoch: [82][6640/14090]	Time 0.756 (0.750)	Data 0.001 (0.002)	Loss 1.5063 (1.7913)	Prec@1 60.156 (52.938)	Prec@5 85.156 (82.199)
Epoch: [82][6650/14090]	Time 0.722 (0.750)	Data 0.001 (0.002)	Loss 1.9203 (1.7913)	Prec@1 47.656 (52.939)	Prec@5 82.812 (82.200)
Epoch: [82][6660/14090]	Time 0.734 (0.750)	Data 0.001 (0.002)	Loss 1.8165 (1.7914)	Prec@1 47.656 (52.934)	Prec@5 82.812 (82.200)
Epoch: [82][6670/14090]	Time 0.723 (0.750)	Data 0.001 (0.002)	Loss 1.8305 (1.7915)	Prec@1 53.125 (52.936)	Prec@5 79.688 (82.197)
Epoch: [82][6680/14090]	Time 0.738 (0.750)	Data 0.001 (0.002)	Loss 1.5878 (1.7915)	Prec@1 57.812 (52.935)	Prec@5 85.156 (82.196)
Epoch: [82][6690/14090]	Time 0.776 (0.750)	Data 0.001 (0.002)	Loss 1.6948 (1.7914)	Prec@1 50.000 (52.934)	Prec@5 84.375 (82.197)
Epoch: [82][6700/14090]	Time 0.730 (0.750)	Data 0.002 (0.002)	Loss 1.5188 (1.7915)	Prec@1 58.594 (52.934)	Prec@5 88.281 (82.196)
Epoch: [82][6710/14090]	Time 0.733 (0.750)	Data 0.001 (0.002)	Loss 1.9386 (1.7915)	Prec@1 46.875 (52.931)	Prec@5 82.031 (82.196)
Epoch: [82][6720/14090]	Time 0.757 (0.750)	Data 0.001 (0.002)	Loss 1.7892 (1.7916)	Prec@1 57.812 (52.931)	Prec@5 79.688 (82.195)
Epoch: [82][6730/14090]	Time 0.770 (0.750)	Data 0.001 (0.002)	Loss 1.8476 (1.7915)	Prec@1 54.688 (52.932)	Prec@5 80.469 (82.196)
Epoch: [82][6740/14090]	Time 0.769 (0.750)	Data 0.001 (0.002)	Loss 1.4254 (1.7915)	Prec@1 62.500 (52.932)	Prec@5 87.500 (82.196)
Epoch: [82][6750/14090]	Time 0.728 (0.750)	Data 0.001 (0.002)	Loss 1.5789 (1.7915)	Prec@1 60.156 (52.933)	Prec@5 86.719 (82.195)
Epoch: [82][6760/14090]	Time 0.730 (0.750)	Data 0.001 (0.002)	Loss 1.8412 (1.7915)	Prec@1 54.688 (52.934)	Prec@5 79.688 (82.197)
Epoch: [82][6770/14090]	Time 0.761 (0.750)	Data 0.002 (0.002)	Loss 1.5313 (1.7914)	Prec@1 60.156 (52.935)	Prec@5 89.062 (82.200)
Epoch: [82][6780/14090]	Time 0.758 (0.750)	Data 0.001 (0.002)	Loss 1.4463 (1.7913)	Prec@1 62.500 (52.937)	Prec@5 86.719 (82.201)
Epoch: [82][6790/14090]	Time 0.736 (0.750)	Data 0.001 (0.002)	Loss 1.7434 (1.7913)	Prec@1 54.688 (52.937)	Prec@5 85.938 (82.202)
Epoch: [82][6800/14090]	Time 0.782 (0.750)	Data 0.001 (0.002)	Loss 1.8859 (1.7912)	Prec@1 44.531 (52.938)	Prec@5 80.469 (82.203)
Epoch: [82][6810/14090]	Time 0.741 (0.750)	Data 0.001 (0.002)	Loss 1.7065 (1.7913)	Prec@1 53.906 (52.936)	Prec@5 81.250 (82.201)
Epoch: [82][6820/14090]	Time 0.757 (0.750)	Data 0.001 (0.002)	Loss 1.8159 (1.7913)	Prec@1 48.438 (52.934)	Prec@5 87.500 (82.203)
Epoch: [82][6830/14090]	Time 0.764 (0.750)	Data 0.001 (0.002)	Loss 1.7581 (1.7915)	Prec@1 48.438 (52.930)	Prec@5 83.594 (82.203)
Epoch: [82][6840/14090]	Time 0.774 (0.750)	Data 0.002 (0.002)	Loss 1.8711 (1.7915)	Prec@1 53.125 (52.928)	Prec@5 82.031 (82.203)
Epoch: [82][6850/14090]	Time 0.731 (0.750)	Data 0.001 (0.002)	Loss 1.9524 (1.7914)	Prec@1 46.094 (52.930)	Prec@5 81.250 (82.205)
Epoch: [82][6860/14090]	Time 0.736 (0.750)	Data 0.001 (0.002)	Loss 1.6521 (1.7914)	Prec@1 62.500 (52.931)	Prec@5 83.594 (82.205)
Epoch: [82][6870/14090]	Time 0.773 (0.750)	Data 0.001 (0.002)	Loss 1.7153 (1.7915)	Prec@1 53.906 (52.929)	Prec@5 81.250 (82.204)
Epoch: [82][6880/14090]	Time 0.744 (0.750)	Data 0.001 (0.002)	Loss 1.8015 (1.7915)	Prec@1 51.562 (52.926)	Prec@5 80.469 (82.203)
Epoch: [82][6890/14090]	Time 0.730 (0.750)	Data 0.001 (0.002)	Loss 2.0024 (1.7915)	Prec@1 50.000 (52.926)	Prec@5 83.594 (82.205)
Epoch: [82][6900/14090]	Time 0.738 (0.750)	Data 0.001 (0.002)	Loss 1.7228 (1.7914)	Prec@1 50.000 (52.927)	Prec@5 81.250 (82.205)
Epoch: [82][6910/14090]	Time 0.734 (0.750)	Data 0.002 (0.002)	Loss 1.6668 (1.7915)	Prec@1 57.031 (52.928)	Prec@5 85.938 (82.205)
Epoch: [82][6920/14090]	Time 0.732 (0.750)	Data 0.001 (0.002)	Loss 1.9162 (1.7915)	Prec@1 48.438 (52.927)	Prec@5 82.031 (82.206)
Epoch: [82][6930/14090]	Time 0.764 (0.750)	Data 0.001 (0.002)	Loss 1.7046 (1.7916)	Prec@1 55.469 (52.924)	Prec@5 84.375 (82.206)
Epoch: [82][6940/14090]	Time 0.778 (0.750)	Data 0.001 (0.002)	Loss 1.9785 (1.7915)	Prec@1 51.562 (52.926)	Prec@5 80.469 (82.208)
Epoch: [82][6950/14090]	Time 0.729 (0.750)	Data 0.001 (0.002)	Loss 1.8529 (1.7916)	Prec@1 49.219 (52.926)	Prec@5 82.812 (82.206)
Epoch: [82][6960/14090]	Time 0.743 (0.750)	Data 0.001 (0.002)	Loss 1.9940 (1.7916)	Prec@1 46.875 (52.928)	Prec@5 77.344 (82.205)
Epoch: [82][6970/14090]	Time 0.724 (0.750)	Data 0.001 (0.002)	Loss 1.9952 (1.7917)	Prec@1 52.344 (52.929)	Prec@5 76.562 (82.204)
Epoch: [82][6980/14090]	Time 0.756 (0.750)	Data 0.002 (0.002)	Loss 1.8676 (1.7917)	Prec@1 48.438 (52.924)	Prec@5 82.031 (82.203)
Epoch: [82][6990/14090]	Time 0.738 (0.750)	Data 0.001 (0.002)	Loss 2.0593 (1.7918)	Prec@1 46.094 (52.924)	Prec@5 79.688 (82.200)
Epoch: [82][7000/14090]	Time 0.751 (0.750)	Data 0.001 (0.002)	Loss 1.9262 (1.7919)	Prec@1 49.219 (52.922)	Prec@5 82.812 (82.199)
Epoch: [82][7010/14090]	Time 0.759 (0.750)	Data 0.001 (0.002)	Loss 1.8006 (1.7920)	Prec@1 50.000 (52.919)	Prec@5 85.156 (82.198)
Epoch: [82][7020/14090]	Time 0.754 (0.750)	Data 0.001 (0.002)	Loss 1.7885 (1.7921)	Prec@1 55.469 (52.916)	Prec@5 82.031 (82.195)
Epoch: [82][7030/14090]	Time 0.731 (0.750)	Data 0.001 (0.002)	Loss 1.6599 (1.7920)	Prec@1 56.250 (52.917)	Prec@5 88.281 (82.197)
Epoch: [82][7040/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 1.6431 (1.7921)	Prec@1 54.688 (52.912)	Prec@5 82.812 (82.197)
Epoch: [82][7050/14090]	Time 0.734 (0.750)	Data 0.002 (0.002)	Loss 1.5335 (1.7921)	Prec@1 57.812 (52.911)	Prec@5 89.062 (82.197)
Epoch: [82][7060/14090]	Time 0.765 (0.750)	Data 0.001 (0.002)	Loss 1.5509 (1.7921)	Prec@1 59.375 (52.912)	Prec@5 86.719 (82.198)
Epoch: [82][7070/14090]	Time 0.729 (0.750)	Data 0.001 (0.002)	Loss 1.7793 (1.7921)	Prec@1 53.906 (52.914)	Prec@5 82.031 (82.197)
Epoch: [82][7080/14090]	Time 0.723 (0.750)	Data 0.001 (0.002)	Loss 1.5415 (1.7922)	Prec@1 57.812 (52.912)	Prec@5 87.500 (82.196)
Epoch: [82][7090/14090]	Time 0.733 (0.750)	Data 0.001 (0.002)	Loss 1.7078 (1.7923)	Prec@1 57.031 (52.912)	Prec@5 85.156 (82.197)
Epoch: [82][7100/14090]	Time 0.751 (0.750)	Data 0.001 (0.002)	Loss 1.9258 (1.7924)	Prec@1 44.531 (52.909)	Prec@5 83.594 (82.196)
Epoch: [82][7110/14090]	Time 0.747 (0.750)	Data 0.001 (0.002)	Loss 1.5330 (1.7924)	Prec@1 58.594 (52.907)	Prec@5 87.500 (82.195)
Epoch: [82][7120/14090]	Time 0.779 (0.750)	Data 0.002 (0.002)	Loss 2.0502 (1.7924)	Prec@1 47.656 (52.907)	Prec@5 76.562 (82.194)
Epoch: [82][7130/14090]	Time 0.767 (0.750)	Data 0.001 (0.002)	Loss 1.7545 (1.7925)	Prec@1 54.688 (52.904)	Prec@5 79.688 (82.193)
Epoch: [82][7140/14090]	Time 0.763 (0.750)	Data 0.001 (0.002)	Loss 1.7720 (1.7924)	Prec@1 54.688 (52.905)	Prec@5 85.156 (82.194)
Epoch: [82][7150/14090]	Time 0.731 (0.750)	Data 0.001 (0.002)	Loss 1.9377 (1.7925)	Prec@1 53.906 (52.903)	Prec@5 78.906 (82.192)
Epoch: [82][7160/14090]	Time 0.772 (0.750)	Data 0.001 (0.002)	Loss 1.7339 (1.7925)	Prec@1 52.344 (52.902)	Prec@5 86.719 (82.190)
Epoch: [82][7170/14090]	Time 0.744 (0.750)	Data 0.001 (0.002)	Loss 1.7447 (1.7925)	Prec@1 58.594 (52.904)	Prec@5 82.812 (82.190)
Epoch: [82][7180/14090]	Time 0.732 (0.750)	Data 0.001 (0.002)	Loss 1.8537 (1.7924)	Prec@1 48.438 (52.906)	Prec@5 82.031 (82.192)
Epoch: [82][7190/14090]	Time 0.764 (0.750)	Data 0.002 (0.002)	Loss 1.9523 (1.7924)	Prec@1 45.312 (52.906)	Prec@5 81.250 (82.192)
Epoch: [82][7200/14090]	Time 0.741 (0.750)	Data 0.001 (0.002)	Loss 1.8648 (1.7924)	Prec@1 50.000 (52.904)	Prec@5 80.469 (82.191)
Epoch: [82][7210/14090]	Time 0.768 (0.750)	Data 0.001 (0.002)	Loss 1.8229 (1.7925)	Prec@1 54.688 (52.902)	Prec@5 85.156 (82.190)
Epoch: [82][7220/14090]	Time 0.746 (0.750)	Data 0.001 (0.002)	Loss 1.7114 (1.7923)	Prec@1 55.469 (52.907)	Prec@5 81.250 (82.193)
Epoch: [82][7230/14090]	Time 0.784 (0.750)	Data 0.001 (0.002)	Loss 1.6312 (1.7923)	Prec@1 57.031 (52.906)	Prec@5 80.469 (82.194)
Epoch: [82][7240/14090]	Time 0.739 (0.750)	Data 0.001 (0.002)	Loss 1.7886 (1.7924)	Prec@1 50.781 (52.901)	Prec@5 78.906 (82.191)
Epoch: [82][7250/14090]	Time 0.778 (0.750)	Data 0.001 (0.002)	Loss 1.8622 (1.7924)	Prec@1 53.125 (52.903)	Prec@5 81.250 (82.191)
Epoch: [82][7260/14090]	Time 0.748 (0.750)	Data 0.002 (0.002)	Loss 1.5503 (1.7924)	Prec@1 55.469 (52.903)	Prec@5 86.719 (82.190)
Epoch: [82][7270/14090]	Time 0.772 (0.750)	Data 0.001 (0.002)	Loss 1.7030 (1.7923)	Prec@1 54.688 (52.906)	Prec@5 82.812 (82.192)
Epoch: [82][7280/14090]	Time 0.740 (0.750)	Data 0.001 (0.002)	Loss 1.7992 (1.7923)	Prec@1 51.562 (52.904)	Prec@5 83.594 (82.193)
Epoch: [82][7290/14090]	Time 0.761 (0.750)	Data 0.001 (0.002)	Loss 1.9141 (1.7923)	Prec@1 48.438 (52.904)	Prec@5 80.469 (82.193)
Epoch: [82][7300/14090]	Time 0.742 (0.750)	Data 0.001 (0.002)	Loss 1.9177 (1.7923)	Prec@1 45.312 (52.902)	Prec@5 78.906 (82.192)
Epoch: [82][7310/14090]	Time 0.769 (0.750)	Data 0.001 (0.002)	Loss 1.7660 (1.7923)	Prec@1 57.031 (52.902)	Prec@5 82.031 (82.191)
Epoch: [82][7320/14090]	Time 0.742 (0.750)	Data 0.001 (0.002)	Loss 1.5735 (1.7923)	Prec@1 59.375 (52.901)	Prec@5 85.938 (82.190)
Epoch: [82][7330/14090]	Time 0.734 (0.750)	Data 0.002 (0.002)	Loss 1.8674 (1.7923)	Prec@1 52.344 (52.902)	Prec@5 82.031 (82.191)
Epoch: [82][7340/14090]	Time 0.742 (0.750)	Data 0.001 (0.002)	Loss 2.0734 (1.7923)	Prec@1 48.438 (52.903)	Prec@5 76.562 (82.191)
Epoch: [82][7350/14090]	Time 0.733 (0.750)	Data 0.001 (0.002)	Loss 1.4852 (1.7923)	Prec@1 64.844 (52.904)	Prec@5 82.031 (82.189)
Epoch: [82][7360/14090]	Time 0.739 (0.750)	Data 0.001 (0.002)	Loss 1.8124 (1.7923)	Prec@1 54.688 (52.904)	Prec@5 82.812 (82.190)
Epoch: [82][7370/14090]	Time 0.772 (0.750)	Data 0.001 (0.002)	Loss 1.7107 (1.7924)	Prec@1 55.469 (52.902)	Prec@5 79.688 (82.187)
Epoch: [82][7380/14090]	Time 0.735 (0.750)	Data 0.001 (0.002)	Loss 1.8712 (1.7924)	Prec@1 44.531 (52.900)	Prec@5 81.250 (82.187)
Epoch: [82][7390/14090]	Time 0.779 (0.750)	Data 0.001 (0.002)	Loss 1.9056 (1.7925)	Prec@1 50.000 (52.898)	Prec@5 81.250 (82.185)
Epoch: [82][7400/14090]	Time 0.737 (0.750)	Data 0.002 (0.002)	Loss 1.7218 (1.7926)	Prec@1 57.031 (52.899)	Prec@5 85.938 (82.186)
Epoch: [82][7410/14090]	Time 0.792 (0.750)	Data 0.001 (0.002)	Loss 1.7391 (1.7926)	Prec@1 54.688 (52.898)	Prec@5 82.031 (82.186)
Epoch: [82][7420/14090]	Time 0.727 (0.750)	Data 0.001 (0.002)	Loss 1.6619 (1.7926)	Prec@1 48.438 (52.898)	Prec@5 85.938 (82.186)
Epoch: [82][7430/14090]	Time 0.772 (0.750)	Data 0.001 (0.002)	Loss 1.9489 (1.7926)	Prec@1 54.688 (52.897)	Prec@5 81.250 (82.187)
Epoch: [82][7440/14090]	Time 0.734 (0.750)	Data 0.001 (0.002)	Loss 1.9009 (1.7926)	Prec@1 48.438 (52.898)	Prec@5 81.250 (82.187)
Epoch: [82][7450/14090]	Time 0.755 (0.750)	Data 0.001 (0.002)	Loss 1.8303 (1.7925)	Prec@1 47.656 (52.897)	Prec@5 82.812 (82.188)
Epoch: [82][7460/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 2.0000 (1.7926)	Prec@1 50.000 (52.897)	Prec@5 78.906 (82.187)
Epoch: [82][7470/14090]	Time 0.743 (0.750)	Data 0.002 (0.002)	Loss 2.0793 (1.7926)	Prec@1 49.219 (52.897)	Prec@5 76.562 (82.187)
Epoch: [82][7480/14090]	Time 0.733 (0.750)	Data 0.001 (0.002)	Loss 1.7341 (1.7926)	Prec@1 56.250 (52.899)	Prec@5 82.031 (82.185)
Epoch: [82][7490/14090]	Time 0.757 (0.750)	Data 0.001 (0.002)	Loss 1.8542 (1.7924)	Prec@1 52.344 (52.902)	Prec@5 77.344 (82.187)
Epoch: [82][7500/14090]	Time 0.748 (0.750)	Data 0.001 (0.002)	Loss 1.8994 (1.7925)	Prec@1 47.656 (52.901)	Prec@5 79.688 (82.186)
Epoch: [82][7510/14090]	Time 0.746 (0.750)	Data 0.001 (0.002)	Loss 1.7007 (1.7925)	Prec@1 50.781 (52.901)	Prec@5 83.594 (82.185)
Epoch: [82][7520/14090]	Time 0.726 (0.750)	Data 0.001 (0.002)	Loss 1.8518 (1.7926)	Prec@1 47.656 (52.898)	Prec@5 79.688 (82.184)
Epoch: [82][7530/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 1.6454 (1.7926)	Prec@1 53.906 (52.896)	Prec@5 82.031 (82.183)
Epoch: [82][7540/14090]	Time 0.748 (0.750)	Data 0.002 (0.002)	Loss 2.0468 (1.7926)	Prec@1 50.781 (52.897)	Prec@5 78.906 (82.182)
Epoch: [82][7550/14090]	Time 0.761 (0.750)	Data 0.001 (0.002)	Loss 1.7147 (1.7927)	Prec@1 55.469 (52.896)	Prec@5 82.031 (82.181)
Epoch: [82][7560/14090]	Time 0.781 (0.750)	Data 0.001 (0.002)	Loss 1.9603 (1.7927)	Prec@1 50.000 (52.895)	Prec@5 78.906 (82.180)
Epoch: [82][7570/14090]	Time 0.736 (0.750)	Data 0.001 (0.002)	Loss 1.7691 (1.7928)	Prec@1 50.781 (52.892)	Prec@5 82.812 (82.181)
Epoch: [82][7580/14090]	Time 0.754 (0.750)	Data 0.001 (0.002)	Loss 1.8205 (1.7928)	Prec@1 57.031 (52.892)	Prec@5 82.812 (82.179)
Epoch: [82][7590/14090]	Time 0.735 (0.750)	Data 0.001 (0.002)	Loss 2.0476 (1.7928)	Prec@1 46.094 (52.890)	Prec@5 78.125 (82.180)
Epoch: [82][7600/14090]	Time 0.727 (0.750)	Data 0.001 (0.002)	Loss 1.8928 (1.7927)	Prec@1 43.750 (52.891)	Prec@5 83.594 (82.181)
Epoch: [82][7610/14090]	Time 0.751 (0.750)	Data 0.002 (0.002)	Loss 1.7666 (1.7927)	Prec@1 49.219 (52.892)	Prec@5 82.031 (82.182)
Epoch: [82][7620/14090]	Time 0.742 (0.750)	Data 0.001 (0.002)	Loss 1.6843 (1.7928)	Prec@1 54.688 (52.889)	Prec@5 85.156 (82.179)
Epoch: [82][7630/14090]	Time 0.740 (0.750)	Data 0.001 (0.002)	Loss 2.2021 (1.7928)	Prec@1 39.062 (52.888)	Prec@5 78.906 (82.179)
Epoch: [82][7640/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 1.6553 (1.7929)	Prec@1 50.000 (52.885)	Prec@5 85.938 (82.180)
Epoch: [82][7650/14090]	Time 0.765 (0.750)	Data 0.001 (0.002)	Loss 2.0235 (1.7929)	Prec@1 50.000 (52.885)	Prec@5 79.688 (82.179)
Epoch: [82][7660/14090]	Time 0.729 (0.750)	Data 0.001 (0.002)	Loss 1.6743 (1.7930)	Prec@1 53.906 (52.883)	Prec@5 88.281 (82.179)
Epoch: [82][7670/14090]	Time 0.734 (0.750)	Data 0.001 (0.002)	Loss 1.6925 (1.7929)	Prec@1 55.469 (52.883)	Prec@5 86.719 (82.182)
Epoch: [82][7680/14090]	Time 0.749 (0.750)	Data 0.002 (0.002)	Loss 1.7384 (1.7930)	Prec@1 60.938 (52.883)	Prec@5 82.031 (82.182)
Epoch: [82][7690/14090]	Time 0.762 (0.750)	Data 0.001 (0.002)	Loss 1.7107 (1.7931)	Prec@1 56.250 (52.880)	Prec@5 82.812 (82.179)
Epoch: [82][7700/14090]	Time 0.734 (0.750)	Data 0.001 (0.002)	Loss 1.6350 (1.7931)	Prec@1 60.156 (52.879)	Prec@5 85.156 (82.179)
Epoch: [82][7710/14090]	Time 0.786 (0.750)	Data 0.001 (0.002)	Loss 2.1169 (1.7933)	Prec@1 45.312 (52.876)	Prec@5 78.125 (82.175)
Epoch: [82][7720/14090]	Time 0.746 (0.750)	Data 0.001 (0.002)	Loss 1.8749 (1.7934)	Prec@1 53.906 (52.874)	Prec@5 79.688 (82.174)
Epoch: [82][7730/14090]	Time 0.746 (0.750)	Data 0.001 (0.002)	Loss 1.8307 (1.7935)	Prec@1 48.438 (52.871)	Prec@5 77.344 (82.171)
Epoch: [82][7740/14090]	Time 0.751 (0.750)	Data 0.001 (0.002)	Loss 1.5854 (1.7935)	Prec@1 58.594 (52.872)	Prec@5 85.938 (82.170)
Epoch: [82][7750/14090]	Time 0.782 (0.750)	Data 0.002 (0.002)	Loss 1.9582 (1.7935)	Prec@1 49.219 (52.869)	Prec@5 78.906 (82.169)
Epoch: [82][7760/14090]	Time 0.737 (0.750)	Data 0.001 (0.002)	Loss 1.6996 (1.7935)	Prec@1 60.156 (52.871)	Prec@5 86.719 (82.171)
Epoch: [82][7770/14090]	Time 0.729 (0.750)	Data 0.001 (0.002)	Loss 1.8141 (1.7936)	Prec@1 53.125 (52.869)	Prec@5 82.031 (82.168)
Epoch: [82][7780/14090]	Time 0.760 (0.750)	Data 0.001 (0.002)	Loss 1.5632 (1.7936)	Prec@1 60.938 (52.868)	Prec@5 88.281 (82.168)
Epoch: [82][7790/14090]	Time 0.762 (0.750)	Data 0.001 (0.002)	Loss 1.9321 (1.7936)	Prec@1 44.531 (52.870)	Prec@5 78.906 (82.167)
Epoch: [82][7800/14090]	Time 0.756 (0.750)	Data 0.001 (0.002)	Loss 1.7206 (1.7936)	Prec@1 46.875 (52.870)	Prec@5 88.281 (82.169)
Epoch: [82][7810/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 1.6700 (1.7935)	Prec@1 57.031 (52.870)	Prec@5 82.812 (82.169)
Epoch: [82][7820/14090]	Time 0.776 (0.750)	Data 0.001 (0.002)	Loss 1.5955 (1.7936)	Prec@1 57.031 (52.869)	Prec@5 82.031 (82.168)
Epoch: [82][7830/14090]	Time 0.754 (0.750)	Data 0.001 (0.002)	Loss 1.9329 (1.7936)	Prec@1 53.906 (52.870)	Prec@5 78.125 (82.169)
Epoch: [82][7840/14090]	Time 0.730 (0.750)	Data 0.001 (0.002)	Loss 1.9515 (1.7936)	Prec@1 46.875 (52.869)	Prec@5 73.438 (82.169)
Epoch: [82][7850/14090]	Time 0.762 (0.750)	Data 0.001 (0.002)	Loss 1.8601 (1.7936)	Prec@1 55.469 (52.870)	Prec@5 79.688 (82.169)
Epoch: [82][7860/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 1.7173 (1.7935)	Prec@1 57.031 (52.870)	Prec@5 82.812 (82.169)
Epoch: [82][7870/14090]	Time 0.730 (0.750)	Data 0.001 (0.002)	Loss 1.7818 (1.7935)	Prec@1 57.812 (52.873)	Prec@5 78.125 (82.167)
Epoch: [82][7880/14090]	Time 0.725 (0.750)	Data 0.001 (0.002)	Loss 1.8241 (1.7935)	Prec@1 53.906 (52.873)	Prec@5 82.031 (82.168)
Epoch: [82][7890/14090]	Time 0.753 (0.750)	Data 0.002 (0.002)	Loss 2.0739 (1.7934)	Prec@1 48.438 (52.877)	Prec@5 74.219 (82.168)
Epoch: [82][7900/14090]	Time 0.727 (0.750)	Data 0.001 (0.002)	Loss 1.7520 (1.7934)	Prec@1 51.562 (52.877)	Prec@5 84.375 (82.168)
Epoch: [82][7910/14090]	Time 0.748 (0.750)	Data 0.001 (0.002)	Loss 1.8588 (1.7934)	Prec@1 53.125 (52.879)	Prec@5 80.469 (82.168)
Epoch: [82][7920/14090]	Time 0.774 (0.750)	Data 0.001 (0.002)	Loss 1.8921 (1.7934)	Prec@1 53.125 (52.880)	Prec@5 83.594 (82.168)
Epoch: [82][7930/14090]	Time 0.773 (0.750)	Data 0.001 (0.002)	Loss 1.7603 (1.7934)	Prec@1 49.219 (52.879)	Prec@5 82.031 (82.168)
Epoch: [82][7940/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 1.5764 (1.7934)	Prec@1 56.250 (52.879)	Prec@5 86.719 (82.168)
Epoch: [82][7950/14090]	Time 0.739 (0.750)	Data 0.001 (0.002)	Loss 1.9752 (1.7935)	Prec@1 43.750 (52.877)	Prec@5 80.469 (82.166)
Epoch: [82][7960/14090]	Time 0.771 (0.750)	Data 0.002 (0.002)	Loss 1.7701 (1.7935)	Prec@1 54.688 (52.877)	Prec@5 78.906 (82.165)
Epoch: [82][7970/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 1.7193 (1.7936)	Prec@1 57.031 (52.876)	Prec@5 82.812 (82.163)
Epoch: [82][7980/14090]	Time 0.783 (0.750)	Data 0.001 (0.002)	Loss 1.7444 (1.7936)	Prec@1 54.688 (52.877)	Prec@5 80.469 (82.163)
Epoch: [82][7990/14090]	Time 0.749 (0.750)	Data 0.001 (0.002)	Loss 1.8271 (1.7936)	Prec@1 53.125 (52.875)	Prec@5 82.031 (82.164)
Epoch: [82][8000/14090]	Time 0.755 (0.750)	Data 0.001 (0.002)	Loss 1.5623 (1.7937)	Prec@1 51.562 (52.871)	Prec@5 88.281 (82.165)
Epoch: [82][8010/14090]	Time 0.736 (0.750)	Data 0.001 (0.002)	Loss 1.6735 (1.7937)	Prec@1 51.562 (52.870)	Prec@5 88.281 (82.165)
Epoch: [82][8020/14090]	Time 0.734 (0.750)	Data 0.001 (0.002)	Loss 1.7676 (1.7937)	Prec@1 50.000 (52.868)	Prec@5 82.031 (82.165)
Epoch: [82][8030/14090]	Time 0.753 (0.750)	Data 0.002 (0.002)	Loss 1.8644 (1.7938)	Prec@1 52.344 (52.866)	Prec@5 83.594 (82.163)
Epoch: [82][8040/14090]	Time 0.726 (0.750)	Data 0.001 (0.002)	Loss 2.0206 (1.7940)	Prec@1 50.781 (52.863)	Prec@5 78.906 (82.161)
Epoch: [82][8050/14090]	Time 0.757 (0.750)	Data 0.001 (0.002)	Loss 1.5439 (1.7939)	Prec@1 58.594 (52.865)	Prec@5 88.281 (82.162)
Epoch: [82][8060/14090]	Time 0.737 (0.750)	Data 0.001 (0.002)	Loss 1.7132 (1.7938)	Prec@1 51.562 (52.865)	Prec@5 86.719 (82.165)
Epoch: [82][8070/14090]	Time 0.768 (0.750)	Data 0.001 (0.002)	Loss 1.6677 (1.7938)	Prec@1 57.812 (52.865)	Prec@5 85.938 (82.165)
Epoch: [82][8080/14090]	Time 0.744 (0.750)	Data 0.001 (0.002)	Loss 1.7186 (1.7938)	Prec@1 57.812 (52.865)	Prec@5 81.250 (82.165)
Epoch: [82][8090/14090]	Time 0.777 (0.750)	Data 0.001 (0.002)	Loss 2.0203 (1.7937)	Prec@1 52.344 (52.866)	Prec@5 78.125 (82.165)
Epoch: [82][8100/14090]	Time 0.761 (0.750)	Data 0.002 (0.002)	Loss 1.7635 (1.7937)	Prec@1 56.250 (52.867)	Prec@5 78.906 (82.167)
Epoch: [82][8110/14090]	Time 0.744 (0.750)	Data 0.001 (0.002)	Loss 1.6433 (1.7937)	Prec@1 57.812 (52.865)	Prec@5 84.375 (82.167)
Epoch: [82][8120/14090]	Time 0.778 (0.750)	Data 0.001 (0.002)	Loss 1.6891 (1.7936)	Prec@1 57.812 (52.869)	Prec@5 85.156 (82.169)
Epoch: [82][8130/14090]	Time 0.745 (0.750)	Data 0.001 (0.002)	Loss 1.8985 (1.7936)	Prec@1 55.469 (52.869)	Prec@5 78.906 (82.171)
Epoch: [82][8140/14090]	Time 0.775 (0.750)	Data 0.001 (0.002)	Loss 1.8895 (1.7936)	Prec@1 50.000 (52.870)	Prec@5 82.031 (82.172)
Epoch: [82][8150/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 1.7689 (1.7936)	Prec@1 52.344 (52.870)	Prec@5 78.906 (82.171)
Epoch: [82][8160/14090]	Time 0.775 (0.750)	Data 0.001 (0.002)	Loss 1.7704 (1.7937)	Prec@1 58.594 (52.869)	Prec@5 85.938 (82.171)
Epoch: [82][8170/14090]	Time 0.740 (0.750)	Data 0.002 (0.002)	Loss 1.4992 (1.7937)	Prec@1 55.469 (52.869)	Prec@5 89.844 (82.172)
Epoch: [82][8180/14090]	Time 0.731 (0.750)	Data 0.001 (0.002)	Loss 1.8863 (1.7937)	Prec@1 53.125 (52.868)	Prec@5 76.562 (82.171)
Epoch: [82][8190/14090]	Time 0.758 (0.750)	Data 0.001 (0.002)	Loss 1.8095 (1.7937)	Prec@1 53.125 (52.868)	Prec@5 80.469 (82.171)
Epoch: [82][8200/14090]	Time 0.731 (0.750)	Data 0.001 (0.002)	Loss 1.5862 (1.7938)	Prec@1 58.594 (52.865)	Prec@5 86.719 (82.170)
Epoch: [82][8210/14090]	Time 0.785 (0.750)	Data 0.001 (0.002)	Loss 1.7560 (1.7939)	Prec@1 57.812 (52.866)	Prec@5 78.125 (82.168)
Epoch: [82][8220/14090]	Time 0.742 (0.750)	Data 0.001 (0.002)	Loss 1.6902 (1.7938)	Prec@1 53.125 (52.867)	Prec@5 85.938 (82.169)
Epoch: [82][8230/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 1.6232 (1.7939)	Prec@1 60.156 (52.867)	Prec@5 85.156 (82.167)
Epoch: [82][8240/14090]	Time 0.730 (0.750)	Data 0.002 (0.002)	Loss 1.6000 (1.7938)	Prec@1 58.594 (52.867)	Prec@5 83.594 (82.168)
Epoch: [82][8250/14090]	Time 0.759 (0.750)	Data 0.001 (0.002)	Loss 1.7320 (1.7939)	Prec@1 59.375 (52.867)	Prec@5 82.812 (82.168)
Epoch: [82][8260/14090]	Time 0.750 (0.750)	Data 0.001 (0.002)	Loss 1.9376 (1.7940)	Prec@1 51.562 (52.867)	Prec@5 77.344 (82.164)
Epoch: [82][8270/14090]	Time 0.734 (0.750)	Data 0.001 (0.002)	Loss 1.9717 (1.7940)	Prec@1 47.656 (52.866)	Prec@5 78.125 (82.162)
Epoch: [82][8280/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 1.8178 (1.7941)	Prec@1 54.688 (52.867)	Prec@5 78.906 (82.160)
Epoch: [82][8290/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 1.7720 (1.7942)	Prec@1 56.250 (52.864)	Prec@5 79.688 (82.158)
Epoch: [82][8300/14090]	Time 0.742 (0.750)	Data 0.001 (0.002)	Loss 1.6813 (1.7941)	Prec@1 55.469 (52.867)	Prec@5 82.031 (82.160)
Epoch: [82][8310/14090]	Time 0.727 (0.750)	Data 0.002 (0.002)	Loss 1.7318 (1.7941)	Prec@1 54.688 (52.867)	Prec@5 82.031 (82.160)
Epoch: [82][8320/14090]	Time 0.735 (0.750)	Data 0.001 (0.002)	Loss 1.7373 (1.7941)	Prec@1 53.125 (52.867)	Prec@5 82.812 (82.160)
Epoch: [82][8330/14090]	Time 0.755 (0.750)	Data 0.001 (0.002)	Loss 2.0167 (1.7942)	Prec@1 51.562 (52.865)	Prec@5 77.344 (82.160)
Epoch: [82][8340/14090]	Time 0.755 (0.750)	Data 0.001 (0.002)	Loss 1.7350 (1.7942)	Prec@1 54.688 (52.864)	Prec@5 82.812 (82.160)
Epoch: [82][8350/14090]	Time 0.773 (0.750)	Data 0.001 (0.002)	Loss 1.8170 (1.7942)	Prec@1 52.344 (52.865)	Prec@5 80.469 (82.159)
Epoch: [82][8360/14090]	Time 0.727 (0.750)	Data 0.001 (0.002)	Loss 1.9131 (1.7942)	Prec@1 50.000 (52.866)	Prec@5 85.938 (82.159)
Epoch: [82][8370/14090]	Time 0.776 (0.750)	Data 0.001 (0.002)	Loss 2.0965 (1.7943)	Prec@1 42.969 (52.862)	Prec@5 75.781 (82.156)
Epoch: [82][8380/14090]	Time 0.735 (0.750)	Data 0.002 (0.002)	Loss 1.7897 (1.7943)	Prec@1 52.344 (52.862)	Prec@5 82.812 (82.156)
Epoch: [82][8390/14090]	Time 0.735 (0.750)	Data 0.001 (0.002)	Loss 1.8967 (1.7943)	Prec@1 48.438 (52.864)	Prec@5 81.250 (82.157)
Epoch: [82][8400/14090]	Time 0.748 (0.750)	Data 0.001 (0.002)	Loss 1.6103 (1.7942)	Prec@1 59.375 (52.863)	Prec@5 85.938 (82.159)
Epoch: [82][8410/14090]	Time 0.769 (0.750)	Data 0.001 (0.002)	Loss 1.9367 (1.7942)	Prec@1 44.531 (52.860)	Prec@5 78.906 (82.161)
Epoch: [82][8420/14090]	Time 0.735 (0.750)	Data 0.001 (0.002)	Loss 1.6562 (1.7943)	Prec@1 53.125 (52.860)	Prec@5 85.938 (82.160)
Epoch: [82][8430/14090]	Time 0.777 (0.750)	Data 0.001 (0.002)	Loss 1.7643 (1.7944)	Prec@1 57.812 (52.857)	Prec@5 85.156 (82.159)
Epoch: [82][8440/14090]	Time 0.732 (0.750)	Data 0.001 (0.002)	Loss 1.9700 (1.7945)	Prec@1 47.656 (52.856)	Prec@5 79.688 (82.158)
Epoch: [82][8450/14090]	Time 0.725 (0.750)	Data 0.002 (0.002)	Loss 1.9415 (1.7945)	Prec@1 44.531 (52.855)	Prec@5 76.562 (82.157)
Epoch: [82][8460/14090]	Time 0.758 (0.750)	Data 0.001 (0.002)	Loss 1.6421 (1.7945)	Prec@1 57.031 (52.857)	Prec@5 84.375 (82.157)
Epoch: [82][8470/14090]	Time 0.751 (0.750)	Data 0.001 (0.002)	Loss 1.6913 (1.7946)	Prec@1 54.688 (52.856)	Prec@5 85.156 (82.156)
Epoch: [82][8480/14090]	Time 0.784 (0.750)	Data 0.001 (0.002)	Loss 1.7168 (1.7945)	Prec@1 54.688 (52.858)	Prec@5 84.375 (82.158)
Epoch: [82][8490/14090]	Time 0.769 (0.750)	Data 0.001 (0.002)	Loss 1.7569 (1.7945)	Prec@1 50.000 (52.857)	Prec@5 85.156 (82.159)
Epoch: [82][8500/14090]	Time 0.776 (0.750)	Data 0.001 (0.002)	Loss 2.0321 (1.7946)	Prec@1 45.312 (52.857)	Prec@5 79.688 (82.159)
Epoch: [82][8510/14090]	Time 0.766 (0.750)	Data 0.001 (0.002)	Loss 1.5655 (1.7945)	Prec@1 51.562 (52.859)	Prec@5 89.844 (82.160)
Epoch: [82][8520/14090]	Time 0.737 (0.750)	Data 0.002 (0.002)	Loss 1.6831 (1.7944)	Prec@1 52.344 (52.862)	Prec@5 82.031 (82.161)
Epoch: [82][8530/14090]	Time 0.784 (0.750)	Data 0.001 (0.002)	Loss 1.9181 (1.7944)	Prec@1 49.219 (52.860)	Prec@5 76.562 (82.160)
Epoch: [82][8540/14090]	Time 0.731 (0.750)	Data 0.001 (0.002)	Loss 1.9698 (1.7944)	Prec@1 44.531 (52.860)	Prec@5 80.469 (82.161)
Epoch: [82][8550/14090]	Time 0.773 (0.750)	Data 0.001 (0.002)	Loss 1.8799 (1.7945)	Prec@1 53.125 (52.857)	Prec@5 82.812 (82.160)
Epoch: [82][8560/14090]	Time 0.732 (0.750)	Data 0.001 (0.002)	Loss 1.7784 (1.7945)	Prec@1 55.469 (52.858)	Prec@5 82.031 (82.160)
Epoch: [82][8570/14090]	Time 0.751 (0.750)	Data 0.001 (0.002)	Loss 1.5418 (1.7945)	Prec@1 58.594 (52.856)	Prec@5 85.156 (82.161)
Epoch: [82][8580/14090]	Time 0.771 (0.750)	Data 0.001 (0.002)	Loss 1.5596 (1.7945)	Prec@1 55.469 (52.856)	Prec@5 84.375 (82.161)
Epoch: [82][8590/14090]	Time 0.741 (0.750)	Data 0.002 (0.002)	Loss 1.9835 (1.7945)	Prec@1 53.906 (52.855)	Prec@5 78.906 (82.161)
Epoch: [82][8600/14090]	Time 0.763 (0.750)	Data 0.001 (0.002)	Loss 1.9289 (1.7944)	Prec@1 46.875 (52.855)	Prec@5 80.469 (82.161)
Epoch: [82][8610/14090]	Time 0.731 (0.750)	Data 0.001 (0.002)	Loss 1.7856 (1.7946)	Prec@1 57.031 (52.853)	Prec@5 78.125 (82.158)
Epoch: [82][8620/14090]	Time 0.762 (0.750)	Data 0.001 (0.002)	Loss 1.7262 (1.7945)	Prec@1 50.781 (52.852)	Prec@5 84.375 (82.158)
Epoch: [82][8630/14090]	Time 0.745 (0.750)	Data 0.001 (0.002)	Loss 2.0200 (1.7945)	Prec@1 46.875 (52.853)	Prec@5 79.688 (82.158)
Epoch: [82][8640/14090]	Time 0.743 (0.750)	Data 0.001 (0.002)	Loss 1.9027 (1.7944)	Prec@1 47.656 (52.855)	Prec@5 79.688 (82.159)
Epoch: [82][8650/14090]	Time 0.758 (0.750)	Data 0.001 (0.002)	Loss 1.8020 (1.7944)	Prec@1 52.344 (52.854)	Prec@5 82.812 (82.159)
Epoch: [82][8660/14090]	Time 0.753 (0.750)	Data 0.002 (0.002)	Loss 1.7848 (1.7945)	Prec@1 50.781 (52.853)	Prec@5 82.031 (82.159)
Epoch: [82][8670/14090]	Time 0.788 (0.750)	Data 0.001 (0.002)	Loss 1.8951 (1.7944)	Prec@1 52.344 (52.854)	Prec@5 80.469 (82.160)
Epoch: [82][8680/14090]	Time 0.744 (0.750)	Data 0.001 (0.002)	Loss 1.8511 (1.7945)	Prec@1 49.219 (52.852)	Prec@5 82.812 (82.159)
Epoch: [82][8690/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 1.6198 (1.7945)	Prec@1 56.250 (52.853)	Prec@5 88.281 (82.159)
Epoch: [82][8700/14090]	Time 0.755 (0.750)	Data 0.001 (0.002)	Loss 1.9845 (1.7945)	Prec@1 51.562 (52.855)	Prec@5 81.250 (82.160)
Epoch: [82][8710/14090]	Time 0.724 (0.750)	Data 0.001 (0.002)	Loss 1.7408 (1.7945)	Prec@1 48.438 (52.855)	Prec@5 80.469 (82.160)
Epoch: [82][8720/14090]	Time 0.780 (0.750)	Data 0.001 (0.002)	Loss 1.6806 (1.7945)	Prec@1 54.688 (52.856)	Prec@5 84.375 (82.160)
Epoch: [82][8730/14090]	Time 0.738 (0.750)	Data 0.002 (0.002)	Loss 2.0350 (1.7946)	Prec@1 52.344 (52.855)	Prec@5 73.438 (82.156)
Epoch: [82][8740/14090]	Time 0.779 (0.750)	Data 0.001 (0.002)	Loss 1.8852 (1.7946)	Prec@1 42.969 (52.853)	Prec@5 82.031 (82.156)
Epoch: [82][8750/14090]	Time 0.747 (0.750)	Data 0.001 (0.002)	Loss 1.7851 (1.7946)	Prec@1 46.094 (52.852)	Prec@5 82.812 (82.156)
Epoch: [82][8760/14090]	Time 0.731 (0.750)	Data 0.001 (0.002)	Loss 1.5077 (1.7947)	Prec@1 57.812 (52.852)	Prec@5 85.156 (82.156)
Epoch: [82][8770/14090]	Time 0.756 (0.750)	Data 0.001 (0.002)	Loss 1.6111 (1.7947)	Prec@1 57.031 (52.852)	Prec@5 85.938 (82.157)
Epoch: [82][8780/14090]	Time 0.737 (0.750)	Data 0.001 (0.002)	Loss 1.4915 (1.7947)	Prec@1 65.625 (52.854)	Prec@5 86.719 (82.156)
Epoch: [82][8790/14090]	Time 0.754 (0.750)	Data 0.001 (0.002)	Loss 1.7221 (1.7947)	Prec@1 58.594 (52.853)	Prec@5 82.031 (82.154)
Epoch: [82][8800/14090]	Time 0.753 (0.750)	Data 0.002 (0.002)	Loss 1.9251 (1.7947)	Prec@1 50.781 (52.854)	Prec@5 82.031 (82.155)
Epoch: [82][8810/14090]	Time 0.760 (0.750)	Data 0.001 (0.002)	Loss 1.9042 (1.7947)	Prec@1 51.562 (52.851)	Prec@5 83.594 (82.155)
Epoch: [82][8820/14090]	Time 0.726 (0.750)	Data 0.001 (0.002)	Loss 1.6420 (1.7947)	Prec@1 56.250 (52.851)	Prec@5 83.594 (82.155)
Epoch: [82][8830/14090]	Time 0.752 (0.750)	Data 0.001 (0.002)	Loss 1.8895 (1.7947)	Prec@1 45.312 (52.852)	Prec@5 79.688 (82.155)
Epoch: [82][8840/14090]	Time 0.763 (0.750)	Data 0.001 (0.002)	Loss 1.6517 (1.7947)	Prec@1 55.469 (52.850)	Prec@5 85.938 (82.155)
Epoch: [82][8850/14090]	Time 0.736 (0.750)	Data 0.001 (0.002)	Loss 1.6572 (1.7947)	Prec@1 54.688 (52.852)	Prec@5 85.156 (82.155)
Epoch: [82][8860/14090]	Time 0.753 (0.750)	Data 0.001 (0.001)	Loss 1.6300 (1.7947)	Prec@1 57.031 (52.852)	Prec@5 85.156 (82.155)
Epoch: [82][8870/14090]	Time 0.734 (0.750)	Data 0.002 (0.001)	Loss 2.1461 (1.7947)	Prec@1 50.000 (52.854)	Prec@5 75.000 (82.155)
Epoch: [82][8880/14090]	Time 0.723 (0.750)	Data 0.001 (0.001)	Loss 2.1135 (1.7948)	Prec@1 44.531 (52.851)	Prec@5 74.219 (82.154)
Epoch: [82][8890/14090]	Time 0.749 (0.750)	Data 0.001 (0.001)	Loss 2.0443 (1.7949)	Prec@1 43.750 (52.850)	Prec@5 80.469 (82.151)
Epoch: [82][8900/14090]	Time 0.731 (0.750)	Data 0.001 (0.001)	Loss 1.7840 (1.7950)	Prec@1 50.781 (52.848)	Prec@5 82.031 (82.150)
Epoch: [82][8910/14090]	Time 0.753 (0.750)	Data 0.001 (0.001)	Loss 1.7206 (1.7950)	Prec@1 53.125 (52.848)	Prec@5 82.812 (82.148)
Epoch: [82][8920/14090]	Time 0.750 (0.750)	Data 0.001 (0.001)	Loss 1.5993 (1.7950)	Prec@1 55.469 (52.848)	Prec@5 85.156 (82.148)
Epoch: [82][8930/14090]	Time 0.726 (0.750)	Data 0.001 (0.001)	Loss 1.8895 (1.7949)	Prec@1 50.000 (52.849)	Prec@5 82.031 (82.148)
Epoch: [82][8940/14090]	Time 0.777 (0.750)	Data 0.002 (0.001)	Loss 2.1348 (1.7950)	Prec@1 43.750 (52.847)	Prec@5 74.219 (82.145)
Epoch: [82][8950/14090]	Time 0.781 (0.750)	Data 0.001 (0.001)	Loss 1.9045 (1.7950)	Prec@1 46.094 (52.845)	Prec@5 81.250 (82.146)
Epoch: [82][8960/14090]	Time 0.746 (0.750)	Data 0.001 (0.001)	Loss 2.0513 (1.7951)	Prec@1 47.656 (52.844)	Prec@5 78.125 (82.146)
Epoch: [82][8970/14090]	Time 0.756 (0.750)	Data 0.001 (0.001)	Loss 1.8550 (1.7951)	Prec@1 56.250 (52.842)	Prec@5 79.688 (82.146)
Epoch: [82][8980/14090]	Time 0.737 (0.750)	Data 0.001 (0.001)	Loss 1.5223 (1.7950)	Prec@1 60.938 (52.843)	Prec@5 88.281 (82.147)
Epoch: [82][8990/14090]	Time 0.760 (0.750)	Data 0.001 (0.001)	Loss 1.6627 (1.7950)	Prec@1 53.906 (52.843)	Prec@5 88.281 (82.148)
Epoch: [82][9000/14090]	Time 0.732 (0.750)	Data 0.001 (0.001)	Loss 1.8933 (1.7949)	Prec@1 46.094 (52.845)	Prec@5 82.812 (82.149)
Epoch: [82][9010/14090]	Time 0.771 (0.750)	Data 0.002 (0.001)	Loss 2.0112 (1.7949)	Prec@1 44.531 (52.844)	Prec@5 78.906 (82.148)
Epoch: [82][9020/14090]	Time 0.741 (0.750)	Data 0.001 (0.001)	Loss 1.8786 (1.7950)	Prec@1 53.906 (52.843)	Prec@5 75.781 (82.145)
Epoch: [82][9030/14090]	Time 0.758 (0.750)	Data 0.001 (0.001)	Loss 1.7379 (1.7949)	Prec@1 53.906 (52.843)	Prec@5 79.688 (82.145)
Epoch: [82][9040/14090]	Time 0.741 (0.750)	Data 0.001 (0.001)	Loss 1.7537 (1.7949)	Prec@1 52.344 (52.843)	Prec@5 80.469 (82.145)
Epoch: [82][9050/14090]	Time 0.745 (0.750)	Data 0.001 (0.001)	Loss 1.7036 (1.7949)	Prec@1 53.125 (52.843)	Prec@5 80.469 (82.145)
Epoch: [82][9060/14090]	Time 0.749 (0.750)	Data 0.001 (0.001)	Loss 2.0516 (1.7950)	Prec@1 47.656 (52.840)	Prec@5 83.594 (82.144)
Epoch: [82][9070/14090]	Time 0.741 (0.750)	Data 0.001 (0.001)	Loss 1.8975 (1.7950)	Prec@1 49.219 (52.839)	Prec@5 83.594 (82.144)
Epoch: [82][9080/14090]	Time 0.761 (0.750)	Data 0.002 (0.001)	Loss 1.5884 (1.7950)	Prec@1 59.375 (52.836)	Prec@5 82.031 (82.145)
Epoch: [82][9090/14090]	Time 0.728 (0.750)	Data 0.001 (0.001)	Loss 1.7389 (1.7950)	Prec@1 54.688 (52.837)	Prec@5 83.594 (82.146)
Epoch: [82][9100/14090]	Time 0.730 (0.750)	Data 0.001 (0.001)	Loss 1.7100 (1.7951)	Prec@1 56.250 (52.837)	Prec@5 87.500 (82.145)
Epoch: [82][9110/14090]	Time 0.763 (0.750)	Data 0.001 (0.001)	Loss 1.8696 (1.7951)	Prec@1 50.000 (52.835)	Prec@5 82.812 (82.145)
Epoch: [82][9120/14090]	Time 0.756 (0.750)	Data 0.001 (0.001)	Loss 1.9494 (1.7951)	Prec@1 46.875 (52.836)	Prec@5 78.906 (82.147)
Epoch: [82][9130/14090]	Time 0.742 (0.750)	Data 0.001 (0.001)	Loss 1.9282 (1.7951)	Prec@1 50.000 (52.834)	Prec@5 80.469 (82.147)
Epoch: [82][9140/14090]	Time 0.765 (0.750)	Data 0.001 (0.001)	Loss 1.9523 (1.7951)	Prec@1 50.000 (52.834)	Prec@5 79.688 (82.146)
Epoch: [82][9150/14090]	Time 0.724 (0.750)	Data 0.002 (0.001)	Loss 1.8456 (1.7953)	Prec@1 47.656 (52.831)	Prec@5 79.688 (82.145)
Epoch: [82][9160/14090]	Time 0.754 (0.750)	Data 0.001 (0.001)	Loss 1.8702 (1.7953)	Prec@1 50.781 (52.831)	Prec@5 81.250 (82.144)
Epoch: [82][9170/14090]	Time 0.732 (0.750)	Data 0.001 (0.001)	Loss 1.6464 (1.7953)	Prec@1 57.812 (52.832)	Prec@5 85.156 (82.145)
Epoch: [82][9180/14090]	Time 0.725 (0.750)	Data 0.001 (0.001)	Loss 1.7389 (1.7954)	Prec@1 58.594 (52.832)	Prec@5 85.938 (82.143)
Epoch: [82][9190/14090]	Time 0.732 (0.750)	Data 0.001 (0.001)	Loss 2.0203 (1.7953)	Prec@1 46.094 (52.833)	Prec@5 78.906 (82.144)
Epoch: [82][9200/14090]	Time 0.773 (0.750)	Data 0.001 (0.001)	Loss 1.9901 (1.7955)	Prec@1 46.094 (52.831)	Prec@5 82.812 (82.142)
Epoch: [82][9210/14090]	Time 0.742 (0.750)	Data 0.001 (0.001)	Loss 1.8634 (1.7955)	Prec@1 47.656 (52.833)	Prec@5 78.906 (82.142)
Epoch: [82][9220/14090]	Time 0.731 (0.750)	Data 0.002 (0.001)	Loss 1.8185 (1.7956)	Prec@1 53.906 (52.830)	Prec@5 78.125 (82.139)
Epoch: [82][9230/14090]	Time 0.765 (0.750)	Data 0.001 (0.001)	Loss 1.5318 (1.7956)	Prec@1 64.062 (52.831)	Prec@5 85.156 (82.138)
Epoch: [82][9240/14090]	Time 0.727 (0.750)	Data 0.001 (0.001)	Loss 1.6510 (1.7956)	Prec@1 50.781 (52.831)	Prec@5 82.812 (82.138)
Epoch: [82][9250/14090]	Time 0.771 (0.750)	Data 0.001 (0.001)	Loss 1.7359 (1.7956)	Prec@1 54.688 (52.830)	Prec@5 84.375 (82.138)
Epoch: [82][9260/14090]	Time 0.739 (0.750)	Data 0.001 (0.001)	Loss 1.7805 (1.7957)	Prec@1 52.344 (52.827)	Prec@5 83.594 (82.138)
Epoch: [82][9270/14090]	Time 0.768 (0.750)	Data 0.001 (0.001)	Loss 1.7254 (1.7957)	Prec@1 50.781 (52.826)	Prec@5 86.719 (82.138)
Epoch: [82][9280/14090]	Time 0.727 (0.750)	Data 0.001 (0.001)	Loss 1.4811 (1.7956)	Prec@1 57.812 (52.828)	Prec@5 85.938 (82.139)
Epoch: [82][9290/14090]	Time 0.772 (0.750)	Data 0.002 (0.001)	Loss 1.7558 (1.7957)	Prec@1 51.562 (52.826)	Prec@5 81.250 (82.137)
Epoch: [82][9300/14090]	Time 0.728 (0.750)	Data 0.001 (0.001)	Loss 1.9336 (1.7957)	Prec@1 51.562 (52.827)	Prec@5 77.344 (82.138)
Epoch: [82][9310/14090]	Time 0.776 (0.750)	Data 0.001 (0.001)	Loss 1.8837 (1.7957)	Prec@1 48.438 (52.825)	Prec@5 81.250 (82.137)
Epoch: [82][9320/14090]	Time 0.731 (0.750)	Data 0.001 (0.001)	Loss 1.8150 (1.7958)	Prec@1 57.031 (52.825)	Prec@5 78.125 (82.136)
Epoch: [82][9330/14090]	Time 0.762 (0.750)	Data 0.001 (0.001)	Loss 1.6705 (1.7957)	Prec@1 57.031 (52.825)	Prec@5 86.719 (82.138)
Epoch: [82][9340/14090]	Time 0.758 (0.750)	Data 0.001 (0.001)	Loss 1.8791 (1.7957)	Prec@1 52.344 (52.825)	Prec@5 78.125 (82.137)
Epoch: [82][9350/14090]	Time 0.737 (0.750)	Data 0.001 (0.001)	Loss 1.7090 (1.7957)	Prec@1 53.125 (52.823)	Prec@5 82.812 (82.136)
Epoch: [82][9360/14090]	Time 0.723 (0.750)	Data 0.002 (0.001)	Loss 1.6472 (1.7957)	Prec@1 57.812 (52.822)	Prec@5 85.156 (82.138)
Epoch: [82][9370/14090]	Time 0.734 (0.750)	Data 0.001 (0.001)	Loss 1.5480 (1.7957)	Prec@1 56.250 (52.823)	Prec@5 83.594 (82.137)
Epoch: [82][9380/14090]	Time 0.778 (0.750)	Data 0.001 (0.001)	Loss 1.7943 (1.7957)	Prec@1 55.469 (52.824)	Prec@5 81.250 (82.137)
Epoch: [82][9390/14090]	Time 0.738 (0.750)	Data 0.001 (0.001)	Loss 2.0610 (1.7958)	Prec@1 48.438 (52.821)	Prec@5 78.125 (82.135)
Epoch: [82][9400/14090]	Time 0.722 (0.750)	Data 0.001 (0.001)	Loss 1.8727 (1.7957)	Prec@1 50.000 (52.822)	Prec@5 82.031 (82.136)
Epoch: [82][9410/14090]	Time 0.779 (0.750)	Data 0.001 (0.001)	Loss 1.8566 (1.7958)	Prec@1 51.562 (52.821)	Prec@5 81.250 (82.137)
Epoch: [82][9420/14090]	Time 0.733 (0.750)	Data 0.001 (0.001)	Loss 1.6874 (1.7958)	Prec@1 51.562 (52.818)	Prec@5 84.375 (82.137)
Epoch: [82][9430/14090]	Time 0.779 (0.750)	Data 0.002 (0.001)	Loss 1.6740 (1.7958)	Prec@1 55.469 (52.818)	Prec@5 84.375 (82.136)
Epoch: [82][9440/14090]	Time 0.728 (0.750)	Data 0.001 (0.001)	Loss 1.8915 (1.7957)	Prec@1 50.000 (52.819)	Prec@5 76.562 (82.137)
Epoch: [82][9450/14090]	Time 0.723 (0.750)	Data 0.001 (0.001)	Loss 1.8621 (1.7957)	Prec@1 50.781 (52.817)	Prec@5 78.906 (82.137)
Epoch: [82][9460/14090]	Time 0.737 (0.750)	Data 0.001 (0.001)	Loss 1.6393 (1.7957)	Prec@1 55.469 (52.817)	Prec@5 85.156 (82.139)
Epoch: [82][9470/14090]	Time 0.738 (0.750)	Data 0.001 (0.001)	Loss 1.5969 (1.7957)	Prec@1 57.812 (52.818)	Prec@5 85.938 (82.140)
Epoch: [82][9480/14090]	Time 0.761 (0.750)	Data 0.001 (0.001)	Loss 1.9129 (1.7957)	Prec@1 53.906 (52.818)	Prec@5 78.906 (82.139)
Epoch: [82][9490/14090]	Time 0.774 (0.750)	Data 0.001 (0.001)	Loss 1.8314 (1.7957)	Prec@1 49.219 (52.818)	Prec@5 83.594 (82.140)
Epoch: [82][9500/14090]	Time 0.778 (0.750)	Data 0.002 (0.001)	Loss 1.7695 (1.7957)	Prec@1 48.438 (52.816)	Prec@5 82.812 (82.141)
Epoch: [82][9510/14090]	Time 0.737 (0.750)	Data 0.001 (0.001)	Loss 1.7901 (1.7957)	Prec@1 50.000 (52.816)	Prec@5 83.594 (82.141)
Epoch: [82][9520/14090]	Time 0.767 (0.750)	Data 0.001 (0.001)	Loss 1.8898 (1.7956)	Prec@1 46.875 (52.817)	Prec@5 82.812 (82.142)
Epoch: [82][9530/14090]	Time 0.780 (0.750)	Data 0.001 (0.001)	Loss 1.8040 (1.7956)	Prec@1 53.906 (52.818)	Prec@5 84.375 (82.143)
Epoch: [82][9540/14090]	Time 0.747 (0.750)	Data 0.001 (0.001)	Loss 1.7935 (1.7956)	Prec@1 50.781 (52.816)	Prec@5 80.469 (82.141)
Epoch: [82][9550/14090]	Time 0.759 (0.750)	Data 0.001 (0.001)	Loss 1.5711 (1.7955)	Prec@1 60.938 (52.818)	Prec@5 85.156 (82.142)
Epoch: [82][9560/14090]	Time 0.763 (0.750)	Data 0.001 (0.001)	Loss 1.6716 (1.7955)	Prec@1 59.375 (52.819)	Prec@5 84.375 (82.143)
Epoch: [82][9570/14090]	Time 0.745 (0.750)	Data 0.002 (0.001)	Loss 1.5684 (1.7955)	Prec@1 57.031 (52.818)	Prec@5 87.500 (82.143)
Epoch: [82][9580/14090]	Time 0.751 (0.750)	Data 0.001 (0.001)	Loss 1.5666 (1.7954)	Prec@1 53.906 (52.819)	Prec@5 85.156 (82.144)
Epoch: [82][9590/14090]	Time 0.779 (0.750)	Data 0.001 (0.001)	Loss 1.7186 (1.7954)	Prec@1 60.156 (52.821)	Prec@5 82.031 (82.143)
Epoch: [82][9600/14090]	Time 0.755 (0.750)	Data 0.001 (0.001)	Loss 1.6374 (1.7955)	Prec@1 62.500 (52.820)	Prec@5 85.156 (82.144)
Epoch: [82][9610/14090]	Time 0.784 (0.750)	Data 0.001 (0.001)	Loss 1.8026 (1.7955)	Prec@1 56.250 (52.820)	Prec@5 82.031 (82.141)
Epoch: [82][9620/14090]	Time 0.749 (0.750)	Data 0.001 (0.001)	Loss 1.8418 (1.7956)	Prec@1 50.000 (52.819)	Prec@5 83.594 (82.139)
Epoch: [82][9630/14090]	Time 0.722 (0.750)	Data 0.001 (0.001)	Loss 1.7710 (1.7956)	Prec@1 49.219 (52.817)	Prec@5 80.469 (82.139)
Epoch: [82][9640/14090]	Time 0.740 (0.750)	Data 0.002 (0.001)	Loss 1.5017 (1.7955)	Prec@1 57.031 (52.818)	Prec@5 91.406 (82.141)
Epoch: [82][9650/14090]	Time 0.782 (0.750)	Data 0.001 (0.001)	Loss 1.8307 (1.7956)	Prec@1 51.562 (52.819)	Prec@5 80.469 (82.139)
Epoch: [82][9660/14090]	Time 0.732 (0.750)	Data 0.001 (0.001)	Loss 1.9900 (1.7956)	Prec@1 48.438 (52.820)	Prec@5 77.344 (82.137)
Epoch: [82][9670/14090]	Time 0.747 (0.750)	Data 0.001 (0.001)	Loss 1.5055 (1.7956)	Prec@1 59.375 (52.822)	Prec@5 84.375 (82.136)
Epoch: [82][9680/14090]	Time 0.774 (0.750)	Data 0.001 (0.001)	Loss 2.0632 (1.7956)	Prec@1 47.656 (52.822)	Prec@5 78.125 (82.135)
Epoch: [82][9690/14090]	Time 0.762 (0.750)	Data 0.001 (0.001)	Loss 1.8682 (1.7956)	Prec@1 52.344 (52.823)	Prec@5 80.469 (82.136)
Epoch: [82][9700/14090]	Time 0.728 (0.750)	Data 0.001 (0.001)	Loss 1.6926 (1.7956)	Prec@1 54.688 (52.821)	Prec@5 82.812 (82.134)
Epoch: [82][9710/14090]	Time 0.730 (0.750)	Data 0.002 (0.001)	Loss 1.9222 (1.7957)	Prec@1 53.125 (52.820)	Prec@5 82.031 (82.133)
Epoch: [82][9720/14090]	Time 0.740 (0.750)	Data 0.001 (0.001)	Loss 1.9125 (1.7957)	Prec@1 52.344 (52.822)	Prec@5 78.906 (82.131)
Epoch: [82][9730/14090]	Time 0.730 (0.750)	Data 0.001 (0.001)	Loss 1.6271 (1.7956)	Prec@1 55.469 (52.824)	Prec@5 82.812 (82.133)
Epoch: [82][9740/14090]	Time 0.758 (0.750)	Data 0.001 (0.001)	Loss 1.8748 (1.7956)	Prec@1 53.125 (52.825)	Prec@5 81.250 (82.134)
Epoch: [82][9750/14090]	Time 0.738 (0.750)	Data 0.001 (0.001)	Loss 1.9265 (1.7956)	Prec@1 53.125 (52.824)	Prec@5 79.688 (82.133)
Epoch: [82][9760/14090]	Time 0.767 (0.750)	Data 0.001 (0.001)	Loss 1.7092 (1.7957)	Prec@1 53.906 (52.822)	Prec@5 88.281 (82.131)
Epoch: [82][9770/14090]	Time 0.742 (0.750)	Data 0.001 (0.001)	Loss 1.8866 (1.7958)	Prec@1 58.594 (52.822)	Prec@5 78.125 (82.130)
Epoch: [82][9780/14090]	Time 0.732 (0.750)	Data 0.002 (0.001)	Loss 1.9063 (1.7958)	Prec@1 47.656 (52.822)	Prec@5 82.812 (82.131)
Epoch: [82][9790/14090]	Time 0.738 (0.750)	Data 0.001 (0.001)	Loss 1.7775 (1.7958)	Prec@1 57.031 (52.822)	Prec@5 82.031 (82.132)
Epoch: [82][9800/14090]	Time 0.732 (0.750)	Data 0.001 (0.001)	Loss 1.7052 (1.7958)	Prec@1 54.688 (52.823)	Prec@5 85.156 (82.132)
Epoch: [82][9810/14090]	Time 0.756 (0.750)	Data 0.001 (0.001)	Loss 1.6870 (1.7958)	Prec@1 58.594 (52.825)	Prec@5 82.031 (82.131)
Epoch: [82][9820/14090]	Time 0.729 (0.750)	Data 0.001 (0.001)	Loss 1.6619 (1.7958)	Prec@1 58.594 (52.826)	Prec@5 82.031 (82.130)
Epoch: [82][9830/14090]	Time 0.736 (0.750)	Data 0.001 (0.001)	Loss 1.6725 (1.7958)	Prec@1 53.906 (52.825)	Prec@5 84.375 (82.130)
Epoch: [82][9840/14090]	Time 0.738 (0.750)	Data 0.001 (0.001)	Loss 1.9296 (1.7957)	Prec@1 54.688 (52.825)	Prec@5 80.469 (82.130)
Epoch: [82][9850/14090]	Time 0.725 (0.750)	Data 0.002 (0.001)	Loss 1.7347 (1.7958)	Prec@1 54.688 (52.823)	Prec@5 84.375 (82.131)
Epoch: [82][9860/14090]	Time 0.738 (0.750)	Data 0.001 (0.001)	Loss 1.8764 (1.7958)	Prec@1 49.219 (52.823)	Prec@5 79.688 (82.130)
Epoch: [82][9870/14090]	Time 0.754 (0.750)	Data 0.001 (0.001)	Loss 1.8862 (1.7958)	Prec@1 50.000 (52.821)	Prec@5 82.031 (82.129)
Epoch: [82][9880/14090]	Time 0.776 (0.750)	Data 0.001 (0.001)	Loss 2.1268 (1.7959)	Prec@1 50.000 (52.821)	Prec@5 75.000 (82.128)
Epoch: [82][9890/14090]	Time 0.727 (0.750)	Data 0.001 (0.001)	Loss 1.8065 (1.7959)	Prec@1 55.469 (52.823)	Prec@5 82.812 (82.128)
Epoch: [82][9900/14090]	Time 0.751 (0.750)	Data 0.000 (0.001)	Loss 2.0310 (1.7959)	Prec@1 52.344 (52.823)	Prec@5 74.219 (82.127)
Epoch: [82][9910/14090]	Time 0.727 (0.750)	Data 0.001 (0.001)	Loss 1.8061 (1.7959)	Prec@1 49.219 (52.820)	Prec@5 81.250 (82.128)
Epoch: [82][9920/14090]	Time 0.758 (0.750)	Data 0.002 (0.001)	Loss 1.8863 (1.7959)	Prec@1 54.688 (52.821)	Prec@5 79.688 (82.128)
Epoch: [82][9930/14090]	Time 0.737 (0.750)	Data 0.001 (0.001)	Loss 1.9810 (1.7960)	Prec@1 50.000 (52.822)	Prec@5 78.906 (82.128)
Epoch: [82][9940/14090]	Time 0.767 (0.750)	Data 0.001 (0.001)	Loss 1.6591 (1.7960)	Prec@1 55.469 (52.821)	Prec@5 81.250 (82.127)
Epoch: [82][9950/14090]	Time 0.727 (0.750)	Data 0.001 (0.001)	Loss 1.5057 (1.7960)	Prec@1 62.500 (52.822)	Prec@5 82.812 (82.126)
Epoch: [82][9960/14090]	Time 0.757 (0.750)	Data 0.001 (0.001)	Loss 1.8890 (1.7960)	Prec@1 48.438 (52.820)	Prec@5 83.594 (82.128)
Epoch: [82][9970/14090]	Time 0.722 (0.750)	Data 0.001 (0.001)	Loss 1.9101 (1.7960)	Prec@1 48.438 (52.820)	Prec@5 77.344 (82.128)
Epoch: [82][9980/14090]	Time 0.757 (0.750)	Data 0.001 (0.001)	Loss 1.8803 (1.7960)	Prec@1 53.906 (52.820)	Prec@5 78.906 (82.127)
Epoch: [82][9990/14090]	Time 0.775 (0.750)	Data 0.002 (0.001)	Loss 1.9154 (1.7960)	Prec@1 47.656 (52.822)	Prec@5 82.031 (82.129)
Epoch: [82][10000/14090]	Time 0.753 (0.750)	Data 0.001 (0.001)	Loss 2.2334 (1.7961)	Prec@1 42.969 (52.819)	Prec@5 73.438 (82.126)
Epoch: [82][10010/14090]	Time 0.721 (0.750)	Data 0.001 (0.001)	Loss 1.7616 (1.7960)	Prec@1 53.906 (52.821)	Prec@5 79.688 (82.127)
Epoch: [82][10020/14090]	Time 0.734 (0.750)	Data 0.001 (0.001)	Loss 2.0630 (1.7960)	Prec@1 49.219 (52.821)	Prec@5 75.781 (82.127)
Epoch: [82][10030/14090]	Time 0.742 (0.750)	Data 0.001 (0.001)	Loss 1.5617 (1.7959)	Prec@1 57.031 (52.823)	Prec@5 85.156 (82.129)
Epoch: [82][10040/14090]	Time 0.758 (0.750)	Data 0.001 (0.001)	Loss 1.6939 (1.7960)	Prec@1 55.469 (52.823)	Prec@5 82.031 (82.129)
Epoch: [82][10050/14090]	Time 0.778 (0.750)	Data 0.001 (0.001)	Loss 1.9690 (1.7960)	Prec@1 53.906 (52.824)	Prec@5 80.469 (82.129)
Epoch: [82][10060/14090]	Time 0.743 (0.750)	Data 0.002 (0.001)	Loss 1.8289 (1.7960)	Prec@1 53.125 (52.825)	Prec@5 81.250 (82.127)
Epoch: [82][10070/14090]	Time 0.758 (0.750)	Data 0.001 (0.001)	Loss 1.9077 (1.7961)	Prec@1 48.438 (52.823)	Prec@5 85.156 (82.127)
Epoch: [82][10080/14090]	Time 0.754 (0.750)	Data 0.001 (0.001)	Loss 1.8033 (1.7962)	Prec@1 56.250 (52.823)	Prec@5 85.938 (82.126)
Epoch: [82][10090/14090]	Time 0.744 (0.750)	Data 0.001 (0.001)	Loss 1.9527 (1.7962)	Prec@1 47.656 (52.822)	Prec@5 78.906 (82.126)
Epoch: [82][10100/14090]	Time 0.766 (0.750)	Data 0.001 (0.001)	Loss 1.8993 (1.7962)	Prec@1 56.250 (52.823)	Prec@5 77.344 (82.126)
Epoch: [82][10110/14090]	Time 0.737 (0.750)	Data 0.001 (0.001)	Loss 1.7447 (1.7962)	Prec@1 50.000 (52.824)	Prec@5 82.812 (82.126)
Epoch: [82][10120/14090]	Time 0.722 (0.750)	Data 0.001 (0.001)	Loss 2.0120 (1.7962)	Prec@1 49.219 (52.823)	Prec@5 80.469 (82.125)
Epoch: [82][10130/14090]	Time 0.737 (0.750)	Data 0.002 (0.001)	Loss 1.8985 (1.7963)	Prec@1 48.438 (52.819)	Prec@5 82.031 (82.124)
Epoch: [82][10140/14090]	Time 0.745 (0.750)	Data 0.001 (0.001)	Loss 1.9316 (1.7963)	Prec@1 46.875 (52.819)	Prec@5 78.906 (82.125)
Epoch: [82][10150/14090]	Time 0.772 (0.750)	Data 0.001 (0.001)	Loss 1.9330 (1.7963)	Prec@1 45.312 (52.818)	Prec@5 83.594 (82.126)
Epoch: [82][10160/14090]	Time 0.766 (0.750)	Data 0.001 (0.001)	Loss 1.8958 (1.7963)	Prec@1 53.906 (52.822)	Prec@5 82.812 (82.127)
Epoch: [82][10170/14090]	Time 0.747 (0.750)	Data 0.001 (0.001)	Loss 1.7310 (1.7962)	Prec@1 50.781 (52.823)	Prec@5 82.812 (82.128)
Epoch: [82][10180/14090]	Time 0.775 (0.750)	Data 0.001 (0.001)	Loss 1.5880 (1.7963)	Prec@1 59.375 (52.823)	Prec@5 86.719 (82.127)
Epoch: [82][10190/14090]	Time 0.749 (0.750)	Data 0.001 (0.001)	Loss 1.6432 (1.7962)	Prec@1 61.719 (52.826)	Prec@5 83.594 (82.129)
Epoch: [82][10200/14090]	Time 0.724 (0.750)	Data 0.002 (0.001)	Loss 1.7029 (1.7962)	Prec@1 57.812 (52.827)	Prec@5 82.812 (82.129)
Epoch: [82][10210/14090]	Time 0.737 (0.750)	Data 0.001 (0.001)	Loss 1.8950 (1.7962)	Prec@1 52.344 (52.828)	Prec@5 77.344 (82.129)
Epoch: [82][10220/14090]	Time 0.755 (0.750)	Data 0.001 (0.001)	Loss 1.7897 (1.7962)	Prec@1 53.125 (52.826)	Prec@5 82.031 (82.129)
Epoch: [82][10230/14090]	Time 0.743 (0.750)	Data 0.001 (0.001)	Loss 1.8572 (1.7962)	Prec@1 50.781 (52.825)	Prec@5 82.031 (82.128)
Epoch: [82][10240/14090]	Time 0.745 (0.750)	Data 0.001 (0.001)	Loss 1.8671 (1.7963)	Prec@1 55.469 (52.824)	Prec@5 79.688 (82.127)
Epoch: [82][10250/14090]	Time 0.779 (0.750)	Data 0.001 (0.001)	Loss 2.0065 (1.7963)	Prec@1 43.750 (52.822)	Prec@5 79.688 (82.126)
Epoch: [82][10260/14090]	Time 0.730 (0.750)	Data 0.001 (0.001)	Loss 2.0646 (1.7965)	Prec@1 43.750 (52.820)	Prec@5 76.562 (82.123)
Epoch: [82][10270/14090]	Time 0.760 (0.750)	Data 0.002 (0.001)	Loss 1.8511 (1.7965)	Prec@1 53.125 (52.819)	Prec@5 82.812 (82.124)
Epoch: [82][10280/14090]	Time 0.739 (0.750)	Data 0.001 (0.001)	Loss 1.6739 (1.7965)	Prec@1 54.688 (52.818)	Prec@5 83.594 (82.123)
Epoch: [82][10290/14090]	Time 0.753 (0.750)	Data 0.001 (0.001)	Loss 1.8186 (1.7966)	Prec@1 55.469 (52.817)	Prec@5 82.031 (82.123)
Epoch: [82][10300/14090]	Time 0.747 (0.750)	Data 0.001 (0.001)	Loss 1.8532 (1.7966)	Prec@1 51.562 (52.818)	Prec@5 82.031 (82.123)
Epoch: [82][10310/14090]	Time 0.755 (0.750)	Data 0.001 (0.001)	Loss 1.6428 (1.7967)	Prec@1 52.344 (52.816)	Prec@5 86.719 (82.123)
Epoch: [82][10320/14090]	Time 0.753 (0.750)	Data 0.001 (0.001)	Loss 1.8738 (1.7967)	Prec@1 53.906 (52.814)	Prec@5 82.031 (82.123)
Epoch: [82][10330/14090]	Time 0.767 (0.750)	Data 0.001 (0.001)	Loss 1.6129 (1.7967)	Prec@1 50.781 (52.813)	Prec@5 85.156 (82.124)
Epoch: [82][10340/14090]	Time 0.738 (0.750)	Data 0.002 (0.001)	Loss 2.0286 (1.7967)	Prec@1 46.875 (52.813)	Prec@5 80.469 (82.124)
Epoch: [82][10350/14090]	Time 0.779 (0.750)	Data 0.001 (0.001)	Loss 1.7905 (1.7968)	Prec@1 54.688 (52.811)	Prec@5 85.156 (82.123)
Epoch: [82][10360/14090]	Time 0.733 (0.750)	Data 0.001 (0.001)	Loss 1.6041 (1.7968)	Prec@1 61.719 (52.812)	Prec@5 89.062 (82.122)
Epoch: [82][10370/14090]	Time 0.774 (0.750)	Data 0.001 (0.001)	Loss 2.0491 (1.7969)	Prec@1 46.094 (52.812)	Prec@5 80.469 (82.121)
Epoch: [82][10380/14090]	Time 0.757 (0.750)	Data 0.001 (0.001)	Loss 1.7231 (1.7969)	Prec@1 53.906 (52.810)	Prec@5 85.156 (82.121)
Epoch: [82][10390/14090]	Time 0.752 (0.750)	Data 0.001 (0.001)	Loss 1.8959 (1.7969)	Prec@1 50.781 (52.809)	Prec@5 84.375 (82.121)
Epoch: [82][10400/14090]	Time 0.734 (0.750)	Data 0.001 (0.001)	Loss 1.8820 (1.7969)	Prec@1 53.125 (52.810)	Prec@5 83.594 (82.123)
Epoch: [82][10410/14090]	Time 0.727 (0.750)	Data 0.002 (0.001)	Loss 1.6085 (1.7969)	Prec@1 60.156 (52.809)	Prec@5 87.500 (82.123)
Epoch: [82][10420/14090]	Time 0.780 (0.750)	Data 0.001 (0.001)	Loss 1.8696 (1.7969)	Prec@1 52.344 (52.810)	Prec@5 78.906 (82.123)
Epoch: [82][10430/14090]	Time 0.738 (0.750)	Data 0.001 (0.001)	Loss 1.6459 (1.7969)	Prec@1 50.000 (52.809)	Prec@5 81.250 (82.123)
Epoch: [82][10440/14090]	Time 0.736 (0.750)	Data 0.001 (0.001)	Loss 1.8734 (1.7970)	Prec@1 51.562 (52.807)	Prec@5 85.938 (82.122)
Epoch: [82][10450/14090]	Time 0.775 (0.750)	Data 0.001 (0.001)	Loss 2.1362 (1.7969)	Prec@1 45.312 (52.808)	Prec@5 76.562 (82.122)
Epoch: [82][10460/14090]	Time 0.748 (0.750)	Data 0.001 (0.001)	Loss 1.8250 (1.7970)	Prec@1 56.250 (52.808)	Prec@5 81.250 (82.122)
Epoch: [82][10470/14090]	Time 0.741 (0.750)	Data 0.001 (0.001)	Loss 1.7986 (1.7970)	Prec@1 51.562 (52.805)	Prec@5 78.906 (82.120)
Epoch: [82][10480/14090]	Time 0.752 (0.750)	Data 0.002 (0.001)	Loss 1.7089 (1.7971)	Prec@1 59.375 (52.803)	Prec@5 82.031 (82.120)
Epoch: [82][10490/14090]	Time 0.752 (0.750)	Data 0.001 (0.001)	Loss 1.6617 (1.7971)	Prec@1 57.031 (52.802)	Prec@5 85.938 (82.121)
Epoch: [82][10500/14090]	Time 0.721 (0.750)	Data 0.001 (0.001)	Loss 1.7382 (1.7971)	Prec@1 54.688 (52.802)	Prec@5 83.594 (82.121)
Epoch: [82][10510/14090]	Time 0.728 (0.750)	Data 0.001 (0.001)	Loss 1.8446 (1.7971)	Prec@1 52.344 (52.803)	Prec@5 85.938 (82.120)
Epoch: [82][10520/14090]	Time 0.769 (0.750)	Data 0.001 (0.001)	Loss 1.9303 (1.7973)	Prec@1 46.094 (52.799)	Prec@5 80.469 (82.116)
Epoch: [82][10530/14090]	Time 0.747 (0.750)	Data 0.001 (0.001)	Loss 1.7463 (1.7972)	Prec@1 54.688 (52.800)	Prec@5 84.375 (82.117)
Epoch: [82][10540/14090]	Time 0.782 (0.750)	Data 0.001 (0.001)	Loss 1.6493 (1.7972)	Prec@1 56.250 (52.800)	Prec@5 82.031 (82.116)
Epoch: [82][10550/14090]	Time 0.766 (0.750)	Data 0.002 (0.001)	Loss 2.1103 (1.7972)	Prec@1 46.094 (52.799)	Prec@5 78.125 (82.118)
Epoch: [82][10560/14090]	Time 0.753 (0.750)	Data 0.001 (0.001)	Loss 1.6633 (1.7972)	Prec@1 53.125 (52.799)	Prec@5 81.250 (82.117)
Epoch: [82][10570/14090]	Time 0.728 (0.750)	Data 0.001 (0.001)	Loss 1.7466 (1.7972)	Prec@1 50.000 (52.797)	Prec@5 82.812 (82.117)
Epoch: [82][10580/14090]	Time 0.752 (0.750)	Data 0.001 (0.001)	Loss 1.7257 (1.7972)	Prec@1 53.125 (52.797)	Prec@5 83.594 (82.117)
Epoch: [82][10590/14090]	Time 0.749 (0.750)	Data 0.001 (0.001)	Loss 1.6762 (1.7972)	Prec@1 57.812 (52.796)	Prec@5 83.594 (82.117)
Epoch: [82][10600/14090]	Time 0.752 (0.750)	Data 0.001 (0.001)	Loss 1.8397 (1.7973)	Prec@1 53.906 (52.794)	Prec@5 80.469 (82.116)
Epoch: [82][10610/14090]	Time 0.733 (0.750)	Data 0.001 (0.001)	Loss 1.9748 (1.7973)	Prec@1 46.875 (52.792)	Prec@5 78.906 (82.116)
Epoch: [82][10620/14090]	Time 0.731 (0.750)	Data 0.002 (0.001)	Loss 1.7568 (1.7973)	Prec@1 55.469 (52.792)	Prec@5 82.812 (82.117)
Epoch: [82][10630/14090]	Time 0.760 (0.750)	Data 0.001 (0.001)	Loss 1.9951 (1.7974)	Prec@1 51.562 (52.790)	Prec@5 80.469 (82.114)
Epoch: [82][10640/14090]	Time 0.760 (0.750)	Data 0.001 (0.001)	Loss 1.8165 (1.7974)	Prec@1 50.000 (52.790)	Prec@5 84.375 (82.115)
Epoch: [82][10650/14090]	Time 0.743 (0.750)	Data 0.001 (0.001)	Loss 1.6815 (1.7976)	Prec@1 54.688 (52.788)	Prec@5 86.719 (82.113)
Epoch: [82][10660/14090]	Time 0.775 (0.750)	Data 0.001 (0.001)	Loss 1.8241 (1.7976)	Prec@1 46.875 (52.786)	Prec@5 80.469 (82.112)
Epoch: [82][10670/14090]	Time 0.739 (0.750)	Data 0.001 (0.001)	Loss 1.7588 (1.7976)	Prec@1 59.375 (52.786)	Prec@5 80.469 (82.113)
Epoch: [82][10680/14090]	Time 0.746 (0.750)	Data 0.001 (0.001)	Loss 1.9552 (1.7976)	Prec@1 51.562 (52.786)	Prec@5 79.688 (82.113)
Epoch: [82][10690/14090]	Time 0.729 (0.750)	Data 0.002 (0.001)	Loss 2.0596 (1.7977)	Prec@1 49.219 (52.783)	Prec@5 75.000 (82.111)
Epoch: [82][10700/14090]	Time 0.726 (0.750)	Data 0.001 (0.001)	Loss 1.9395 (1.7977)	Prec@1 52.344 (52.782)	Prec@5 81.250 (82.111)
Epoch: [82][10710/14090]	Time 0.764 (0.749)	Data 0.001 (0.001)	Loss 1.6252 (1.7977)	Prec@1 58.594 (52.782)	Prec@5 82.812 (82.111)
Epoch: [82][10720/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 2.0215 (1.7978)	Prec@1 46.094 (52.778)	Prec@5 75.781 (82.109)
Epoch: [82][10730/14090]	Time 0.749 (0.749)	Data 0.001 (0.001)	Loss 1.5766 (1.7978)	Prec@1 56.250 (52.780)	Prec@5 85.938 (82.110)
Epoch: [82][10740/14090]	Time 0.746 (0.749)	Data 0.001 (0.001)	Loss 1.8842 (1.7978)	Prec@1 49.219 (52.778)	Prec@5 80.469 (82.109)
Epoch: [82][10750/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 1.8227 (1.7978)	Prec@1 46.875 (52.778)	Prec@5 84.375 (82.110)
Epoch: [82][10760/14090]	Time 0.731 (0.749)	Data 0.002 (0.001)	Loss 1.8425 (1.7978)	Prec@1 53.125 (52.778)	Prec@5 82.031 (82.109)
Epoch: [82][10770/14090]	Time 0.732 (0.749)	Data 0.001 (0.001)	Loss 1.8178 (1.7979)	Prec@1 51.562 (52.777)	Prec@5 79.688 (82.109)
Epoch: [82][10780/14090]	Time 0.786 (0.749)	Data 0.001 (0.001)	Loss 1.9349 (1.7979)	Prec@1 50.781 (52.775)	Prec@5 79.688 (82.108)
Epoch: [82][10790/14090]	Time 0.747 (0.749)	Data 0.001 (0.001)	Loss 1.6855 (1.7979)	Prec@1 60.156 (52.777)	Prec@5 82.812 (82.107)
Epoch: [82][10800/14090]	Time 0.736 (0.749)	Data 0.001 (0.001)	Loss 1.6486 (1.7979)	Prec@1 60.156 (52.777)	Prec@5 85.156 (82.106)
Epoch: [82][10810/14090]	Time 0.770 (0.749)	Data 0.001 (0.001)	Loss 1.9380 (1.7980)	Prec@1 44.531 (52.776)	Prec@5 80.469 (82.106)
Epoch: [82][10820/14090]	Time 0.746 (0.749)	Data 0.001 (0.001)	Loss 1.8344 (1.7980)	Prec@1 49.219 (52.775)	Prec@5 83.594 (82.106)
Epoch: [82][10830/14090]	Time 0.721 (0.749)	Data 0.002 (0.001)	Loss 1.8529 (1.7980)	Prec@1 50.000 (52.772)	Prec@5 81.250 (82.104)
Epoch: [82][10840/14090]	Time 0.731 (0.749)	Data 0.001 (0.001)	Loss 1.6805 (1.7980)	Prec@1 59.375 (52.771)	Prec@5 83.594 (82.105)
Epoch: [82][10850/14090]	Time 0.735 (0.749)	Data 0.001 (0.001)	Loss 2.2035 (1.7980)	Prec@1 46.875 (52.772)	Prec@5 76.562 (82.105)
Epoch: [82][10860/14090]	Time 0.786 (0.749)	Data 0.001 (0.001)	Loss 2.0283 (1.7980)	Prec@1 50.000 (52.773)	Prec@5 80.469 (82.105)
Epoch: [82][10870/14090]	Time 0.771 (0.749)	Data 0.001 (0.001)	Loss 1.6627 (1.7980)	Prec@1 59.375 (52.775)	Prec@5 84.375 (82.106)
Epoch: [82][10880/14090]	Time 0.734 (0.749)	Data 0.001 (0.001)	Loss 1.8628 (1.7980)	Prec@1 57.031 (52.775)	Prec@5 82.031 (82.106)
Epoch: [82][10890/14090]	Time 0.748 (0.749)	Data 0.001 (0.001)	Loss 1.7866 (1.7980)	Prec@1 53.906 (52.774)	Prec@5 82.031 (82.106)
Epoch: [82][10900/14090]	Time 0.723 (0.749)	Data 0.002 (0.001)	Loss 1.6979 (1.7980)	Prec@1 53.906 (52.774)	Prec@5 82.812 (82.107)
Epoch: [82][10910/14090]	Time 0.741 (0.749)	Data 0.001 (0.001)	Loss 1.7625 (1.7980)	Prec@1 53.125 (52.775)	Prec@5 82.812 (82.107)
Epoch: [82][10920/14090]	Time 0.748 (0.749)	Data 0.001 (0.001)	Loss 1.8317 (1.7980)	Prec@1 51.562 (52.775)	Prec@5 82.031 (82.107)
Epoch: [82][10930/14090]	Time 0.754 (0.749)	Data 0.001 (0.001)	Loss 1.9599 (1.7980)	Prec@1 50.000 (52.775)	Prec@5 82.812 (82.107)
Epoch: [82][10940/14090]	Time 0.740 (0.749)	Data 0.001 (0.001)	Loss 1.9914 (1.7979)	Prec@1 46.875 (52.777)	Prec@5 79.688 (82.108)
Epoch: [82][10950/14090]	Time 0.746 (0.749)	Data 0.001 (0.001)	Loss 1.8565 (1.7980)	Prec@1 49.219 (52.777)	Prec@5 78.125 (82.107)
Epoch: [82][10960/14090]	Time 0.730 (0.749)	Data 0.001 (0.001)	Loss 1.5018 (1.7980)	Prec@1 57.031 (52.777)	Prec@5 84.375 (82.107)
Epoch: [82][10970/14090]	Time 0.759 (0.749)	Data 0.002 (0.001)	Loss 1.6496 (1.7979)	Prec@1 59.375 (52.777)	Prec@5 82.812 (82.107)
Epoch: [82][10980/14090]	Time 0.730 (0.749)	Data 0.001 (0.001)	Loss 1.5491 (1.7979)	Prec@1 53.125 (52.778)	Prec@5 88.281 (82.107)
Epoch: [82][10990/14090]	Time 0.728 (0.749)	Data 0.001 (0.001)	Loss 1.7367 (1.7980)	Prec@1 53.906 (52.776)	Prec@5 83.594 (82.107)
Epoch: [82][11000/14090]	Time 0.736 (0.749)	Data 0.001 (0.001)	Loss 2.0943 (1.7980)	Prec@1 45.312 (52.775)	Prec@5 79.688 (82.108)
Epoch: [82][11010/14090]	Time 0.735 (0.749)	Data 0.001 (0.001)	Loss 1.9897 (1.7980)	Prec@1 48.438 (52.774)	Prec@5 80.469 (82.107)
Epoch: [82][11020/14090]	Time 0.754 (0.749)	Data 0.001 (0.001)	Loss 1.9513 (1.7981)	Prec@1 50.781 (52.775)	Prec@5 81.250 (82.105)
Epoch: [82][11030/14090]	Time 0.737 (0.749)	Data 0.001 (0.001)	Loss 2.0551 (1.7980)	Prec@1 42.969 (52.774)	Prec@5 77.344 (82.105)
Epoch: [82][11040/14090]	Time 0.727 (0.749)	Data 0.002 (0.001)	Loss 1.7028 (1.7981)	Prec@1 54.688 (52.772)	Prec@5 80.469 (82.104)
Epoch: [82][11050/14090]	Time 0.732 (0.749)	Data 0.001 (0.001)	Loss 1.7134 (1.7981)	Prec@1 58.594 (52.772)	Prec@5 81.250 (82.104)
Epoch: [82][11060/14090]	Time 0.732 (0.749)	Data 0.001 (0.001)	Loss 1.7073 (1.7981)	Prec@1 58.594 (52.771)	Prec@5 85.938 (82.103)
Epoch: [82][11070/14090]	Time 0.770 (0.749)	Data 0.001 (0.001)	Loss 2.0660 (1.7981)	Prec@1 45.312 (52.771)	Prec@5 76.562 (82.102)
Epoch: [82][11080/14090]	Time 0.732 (0.749)	Data 0.001 (0.001)	Loss 1.8880 (1.7980)	Prec@1 50.000 (52.771)	Prec@5 78.906 (82.101)
Epoch: [82][11090/14090]	Time 0.777 (0.749)	Data 0.001 (0.001)	Loss 1.8880 (1.7981)	Prec@1 53.906 (52.771)	Prec@5 81.250 (82.101)
Epoch: [82][11100/14090]	Time 0.748 (0.749)	Data 0.001 (0.001)	Loss 1.6015 (1.7981)	Prec@1 60.938 (52.772)	Prec@5 84.375 (82.102)
Epoch: [82][11110/14090]	Time 0.725 (0.749)	Data 0.002 (0.001)	Loss 1.7304 (1.7981)	Prec@1 53.906 (52.772)	Prec@5 81.250 (82.102)
Epoch: [82][11120/14090]	Time 0.764 (0.749)	Data 0.001 (0.001)	Loss 1.8041 (1.7981)	Prec@1 59.375 (52.771)	Prec@5 79.688 (82.101)
Epoch: [82][11130/14090]	Time 0.737 (0.749)	Data 0.001 (0.001)	Loss 1.6033 (1.7981)	Prec@1 54.688 (52.771)	Prec@5 88.281 (82.101)
Epoch: [82][11140/14090]	Time 0.718 (0.749)	Data 0.001 (0.001)	Loss 1.7678 (1.7982)	Prec@1 59.375 (52.771)	Prec@5 78.906 (82.102)
Epoch: [82][11150/14090]	Time 0.745 (0.749)	Data 0.001 (0.001)	Loss 1.7166 (1.7981)	Prec@1 50.781 (52.770)	Prec@5 86.719 (82.103)
Epoch: [82][11160/14090]	Time 0.777 (0.749)	Data 0.001 (0.001)	Loss 2.0099 (1.7981)	Prec@1 50.781 (52.772)	Prec@5 80.469 (82.104)
Epoch: [82][11170/14090]	Time 0.736 (0.749)	Data 0.001 (0.001)	Loss 1.9788 (1.7982)	Prec@1 51.562 (52.769)	Prec@5 78.906 (82.103)
Epoch: [82][11180/14090]	Time 0.719 (0.749)	Data 0.002 (0.001)	Loss 1.8510 (1.7983)	Prec@1 55.469 (52.767)	Prec@5 82.031 (82.100)
Epoch: [82][11190/14090]	Time 0.739 (0.749)	Data 0.001 (0.001)	Loss 1.6864 (1.7983)	Prec@1 58.594 (52.767)	Prec@5 82.031 (82.100)
Epoch: [82][11200/14090]	Time 0.743 (0.749)	Data 0.001 (0.001)	Loss 1.9296 (1.7983)	Prec@1 46.094 (52.767)	Prec@5 82.812 (82.101)
Epoch: [82][11210/14090]	Time 0.763 (0.749)	Data 0.001 (0.001)	Loss 1.9726 (1.7983)	Prec@1 47.656 (52.766)	Prec@5 79.688 (82.100)
Epoch: [82][11220/14090]	Time 0.748 (0.749)	Data 0.001 (0.001)	Loss 1.5821 (1.7983)	Prec@1 52.344 (52.766)	Prec@5 85.156 (82.100)
Epoch: [82][11230/14090]	Time 0.753 (0.749)	Data 0.001 (0.001)	Loss 1.7918 (1.7983)	Prec@1 53.125 (52.766)	Prec@5 82.812 (82.099)
Epoch: [82][11240/14090]	Time 0.741 (0.749)	Data 0.001 (0.001)	Loss 1.7883 (1.7983)	Prec@1 55.469 (52.765)	Prec@5 84.375 (82.100)
Epoch: [82][11250/14090]	Time 0.781 (0.749)	Data 0.002 (0.001)	Loss 1.7355 (1.7983)	Prec@1 50.781 (52.764)	Prec@5 82.031 (82.100)
Epoch: [82][11260/14090]	Time 0.730 (0.749)	Data 0.001 (0.001)	Loss 1.8738 (1.7983)	Prec@1 50.000 (52.763)	Prec@5 79.688 (82.099)
Epoch: [82][11270/14090]	Time 0.780 (0.749)	Data 0.001 (0.001)	Loss 1.7025 (1.7983)	Prec@1 58.594 (52.765)	Prec@5 85.938 (82.100)
Epoch: [82][11280/14090]	Time 0.752 (0.749)	Data 0.001 (0.001)	Loss 1.6336 (1.7984)	Prec@1 57.812 (52.764)	Prec@5 82.812 (82.099)
Epoch: [82][11290/14090]	Time 0.728 (0.749)	Data 0.001 (0.001)	Loss 1.8605 (1.7984)	Prec@1 53.906 (52.763)	Prec@5 81.250 (82.098)
Epoch: [82][11300/14090]	Time 0.744 (0.749)	Data 0.001 (0.001)	Loss 1.8374 (1.7985)	Prec@1 52.344 (52.762)	Prec@5 80.469 (82.096)
Epoch: [82][11310/14090]	Time 0.722 (0.749)	Data 0.001 (0.001)	Loss 1.7738 (1.7984)	Prec@1 58.594 (52.765)	Prec@5 82.031 (82.096)
Epoch: [82][11320/14090]	Time 0.735 (0.749)	Data 0.002 (0.001)	Loss 1.8552 (1.7985)	Prec@1 50.781 (52.763)	Prec@5 79.688 (82.095)
Epoch: [82][11330/14090]	Time 0.725 (0.749)	Data 0.001 (0.001)	Loss 1.7063 (1.7985)	Prec@1 52.344 (52.763)	Prec@5 85.156 (82.096)
Epoch: [82][11340/14090]	Time 0.727 (0.749)	Data 0.001 (0.001)	Loss 1.9319 (1.7985)	Prec@1 51.562 (52.762)	Prec@5 80.469 (82.095)
Epoch: [82][11350/14090]	Time 0.736 (0.749)	Data 0.001 (0.001)	Loss 1.5370 (1.7986)	Prec@1 61.719 (52.762)	Prec@5 85.938 (82.095)
Epoch: [82][11360/14090]	Time 0.729 (0.749)	Data 0.001 (0.001)	Loss 1.5102 (1.7986)	Prec@1 59.375 (52.761)	Prec@5 89.062 (82.094)
Epoch: [82][11370/14090]	Time 0.726 (0.749)	Data 0.001 (0.001)	Loss 1.7692 (1.7987)	Prec@1 52.344 (52.759)	Prec@5 82.812 (82.093)
Epoch: [82][11380/14090]	Time 0.749 (0.749)	Data 0.001 (0.001)	Loss 1.7848 (1.7987)	Prec@1 53.906 (52.759)	Prec@5 82.031 (82.093)
Epoch: [82][11390/14090]	Time 0.730 (0.749)	Data 0.002 (0.001)	Loss 1.9376 (1.7987)	Prec@1 49.219 (52.758)	Prec@5 75.781 (82.093)
Epoch: [82][11400/14090]	Time 0.752 (0.749)	Data 0.001 (0.001)	Loss 1.7447 (1.7986)	Prec@1 52.344 (52.759)	Prec@5 82.812 (82.093)
Epoch: [82][11410/14090]	Time 0.722 (0.749)	Data 0.001 (0.001)	Loss 1.9309 (1.7986)	Prec@1 51.562 (52.759)	Prec@5 79.688 (82.093)
Epoch: [82][11420/14090]	Time 0.757 (0.749)	Data 0.001 (0.001)	Loss 1.9641 (1.7986)	Prec@1 48.438 (52.758)	Prec@5 79.688 (82.093)
Epoch: [82][11430/14090]	Time 0.727 (0.749)	Data 0.001 (0.001)	Loss 1.7556 (1.7987)	Prec@1 53.125 (52.758)	Prec@5 81.250 (82.092)
Epoch: [82][11440/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 1.8036 (1.7987)	Prec@1 53.906 (52.758)	Prec@5 82.031 (82.091)
Epoch: [82][11450/14090]	Time 0.758 (0.749)	Data 0.001 (0.001)	Loss 1.9202 (1.7987)	Prec@1 51.562 (52.757)	Prec@5 80.469 (82.090)
Epoch: [82][11460/14090]	Time 0.778 (0.749)	Data 0.002 (0.001)	Loss 1.9488 (1.7987)	Prec@1 44.531 (52.757)	Prec@5 81.250 (82.091)
Epoch: [82][11470/14090]	Time 0.736 (0.749)	Data 0.001 (0.001)	Loss 1.8027 (1.7988)	Prec@1 48.438 (52.756)	Prec@5 81.250 (82.090)
Epoch: [82][11480/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 1.9483 (1.7988)	Prec@1 53.125 (52.756)	Prec@5 75.781 (82.088)
Epoch: [82][11490/14090]	Time 0.770 (0.749)	Data 0.001 (0.001)	Loss 1.8543 (1.7989)	Prec@1 51.562 (52.754)	Prec@5 82.812 (82.086)
Epoch: [82][11500/14090]	Time 0.750 (0.749)	Data 0.001 (0.001)	Loss 1.4021 (1.7988)	Prec@1 61.719 (52.755)	Prec@5 87.500 (82.087)
Epoch: [82][11510/14090]	Time 0.757 (0.749)	Data 0.001 (0.001)	Loss 1.8433 (1.7988)	Prec@1 52.344 (52.754)	Prec@5 82.031 (82.087)
Epoch: [82][11520/14090]	Time 0.753 (0.749)	Data 0.001 (0.001)	Loss 1.5423 (1.7988)	Prec@1 57.031 (52.754)	Prec@5 88.281 (82.088)
Epoch: [82][11530/14090]	Time 0.744 (0.749)	Data 0.002 (0.001)	Loss 1.6068 (1.7988)	Prec@1 51.562 (52.753)	Prec@5 85.156 (82.088)
Epoch: [82][11540/14090]	Time 0.782 (0.749)	Data 0.001 (0.001)	Loss 2.0269 (1.7989)	Prec@1 47.656 (52.751)	Prec@5 77.344 (82.085)
Epoch: [82][11550/14090]	Time 0.730 (0.749)	Data 0.001 (0.001)	Loss 1.8112 (1.7990)	Prec@1 51.562 (52.752)	Prec@5 81.250 (82.084)
Epoch: [82][11560/14090]	Time 0.752 (0.749)	Data 0.001 (0.001)	Loss 1.9430 (1.7989)	Prec@1 53.125 (52.753)	Prec@5 79.688 (82.084)
Epoch: [82][11570/14090]	Time 0.730 (0.749)	Data 0.001 (0.001)	Loss 2.0180 (1.7990)	Prec@1 44.531 (52.752)	Prec@5 76.562 (82.084)
Epoch: [82][11580/14090]	Time 0.772 (0.749)	Data 0.001 (0.001)	Loss 2.0883 (1.7990)	Prec@1 47.656 (52.752)	Prec@5 78.125 (82.084)
Epoch: [82][11590/14090]	Time 0.730 (0.749)	Data 0.001 (0.001)	Loss 2.0156 (1.7991)	Prec@1 50.781 (52.751)	Prec@5 78.125 (82.083)
Epoch: [82][11600/14090]	Time 0.745 (0.749)	Data 0.002 (0.001)	Loss 1.8107 (1.7991)	Prec@1 49.219 (52.751)	Prec@5 81.250 (82.082)
Epoch: [82][11610/14090]	Time 0.777 (0.749)	Data 0.001 (0.001)	Loss 1.9322 (1.7990)	Prec@1 52.344 (52.750)	Prec@5 80.469 (82.083)
Epoch: [82][11620/14090]	Time 0.747 (0.749)	Data 0.001 (0.001)	Loss 1.8680 (1.7989)	Prec@1 42.969 (52.753)	Prec@5 78.906 (82.084)
Epoch: [82][11630/14090]	Time 0.785 (0.749)	Data 0.001 (0.001)	Loss 1.6615 (1.7990)	Prec@1 57.812 (52.753)	Prec@5 85.156 (82.083)
Epoch: [82][11640/14090]	Time 0.754 (0.749)	Data 0.001 (0.001)	Loss 1.5117 (1.7990)	Prec@1 59.375 (52.752)	Prec@5 87.500 (82.083)
Epoch: [82][11650/14090]	Time 0.750 (0.749)	Data 0.001 (0.001)	Loss 1.7706 (1.7990)	Prec@1 55.469 (52.751)	Prec@5 84.375 (82.081)
Epoch: [82][11660/14090]	Time 0.726 (0.749)	Data 0.001 (0.001)	Loss 1.6084 (1.7991)	Prec@1 55.469 (52.749)	Prec@5 88.281 (82.080)
Epoch: [82][11670/14090]	Time 0.743 (0.749)	Data 0.002 (0.001)	Loss 1.8387 (1.7991)	Prec@1 49.219 (52.746)	Prec@5 82.812 (82.080)
Epoch: [82][11680/14090]	Time 0.763 (0.749)	Data 0.001 (0.001)	Loss 2.0101 (1.7991)	Prec@1 44.531 (52.746)	Prec@5 77.344 (82.080)
Epoch: [82][11690/14090]	Time 0.741 (0.749)	Data 0.001 (0.001)	Loss 1.6716 (1.7991)	Prec@1 54.688 (52.747)	Prec@5 83.594 (82.080)
Epoch: [82][11700/14090]	Time 0.725 (0.749)	Data 0.001 (0.001)	Loss 1.5063 (1.7991)	Prec@1 61.719 (52.746)	Prec@5 89.062 (82.080)
Epoch: [82][11710/14090]	Time 0.733 (0.749)	Data 0.001 (0.001)	Loss 1.6832 (1.7990)	Prec@1 53.906 (52.747)	Prec@5 85.938 (82.082)
Epoch: [82][11720/14090]	Time 0.728 (0.749)	Data 0.001 (0.001)	Loss 1.7505 (1.7990)	Prec@1 57.031 (52.748)	Prec@5 81.250 (82.082)
Epoch: [82][11730/14090]	Time 0.771 (0.749)	Data 0.001 (0.001)	Loss 1.6789 (1.7990)	Prec@1 57.031 (52.747)	Prec@5 86.719 (82.082)
Epoch: [82][11740/14090]	Time 0.736 (0.749)	Data 0.002 (0.001)	Loss 2.0876 (1.7990)	Prec@1 47.656 (52.748)	Prec@5 79.688 (82.083)
Epoch: [82][11750/14090]	Time 0.736 (0.749)	Data 0.001 (0.001)	Loss 1.9560 (1.7991)	Prec@1 47.656 (52.746)	Prec@5 75.781 (82.081)
Epoch: [82][11760/14090]	Time 0.740 (0.749)	Data 0.001 (0.001)	Loss 1.8207 (1.7991)	Prec@1 55.469 (52.748)	Prec@5 79.688 (82.081)
Epoch: [82][11770/14090]	Time 0.746 (0.749)	Data 0.001 (0.001)	Loss 1.6421 (1.7991)	Prec@1 57.031 (52.747)	Prec@5 80.469 (82.080)
Epoch: [82][11780/14090]	Time 0.744 (0.749)	Data 0.001 (0.001)	Loss 1.8311 (1.7991)	Prec@1 53.125 (52.746)	Prec@5 82.812 (82.080)
Epoch: [82][11790/14090]	Time 0.740 (0.749)	Data 0.001 (0.001)	Loss 1.8081 (1.7991)	Prec@1 50.781 (52.745)	Prec@5 81.250 (82.080)
Epoch: [82][11800/14090]	Time 0.753 (0.749)	Data 0.001 (0.001)	Loss 1.8918 (1.7991)	Prec@1 50.000 (52.746)	Prec@5 79.688 (82.081)
Epoch: [82][11810/14090]	Time 0.737 (0.749)	Data 0.002 (0.001)	Loss 1.5759 (1.7990)	Prec@1 55.469 (52.745)	Prec@5 84.375 (82.082)
Epoch: [82][11820/14090]	Time 0.745 (0.749)	Data 0.001 (0.001)	Loss 1.7456 (1.7991)	Prec@1 51.562 (52.745)	Prec@5 85.156 (82.082)
Epoch: [82][11830/14090]	Time 0.745 (0.749)	Data 0.001 (0.001)	Loss 1.8520 (1.7991)	Prec@1 57.031 (52.742)	Prec@5 80.469 (82.081)
Epoch: [82][11840/14090]	Time 0.754 (0.749)	Data 0.001 (0.001)	Loss 1.8954 (1.7992)	Prec@1 55.469 (52.740)	Prec@5 79.688 (82.080)
Epoch: [82][11850/14090]	Time 0.746 (0.749)	Data 0.001 (0.001)	Loss 1.8297 (1.7993)	Prec@1 51.562 (52.740)	Prec@5 81.250 (82.078)
Epoch: [82][11860/14090]	Time 0.759 (0.749)	Data 0.001 (0.001)	Loss 1.8285 (1.7993)	Prec@1 53.125 (52.740)	Prec@5 81.250 (82.079)
Epoch: [82][11870/14090]	Time 0.752 (0.749)	Data 0.001 (0.001)	Loss 1.5944 (1.7992)	Prec@1 61.719 (52.740)	Prec@5 82.031 (82.078)
Epoch: [82][11880/14090]	Time 0.777 (0.749)	Data 0.002 (0.001)	Loss 1.6218 (1.7992)	Prec@1 55.469 (52.741)	Prec@5 88.281 (82.079)
Epoch: [82][11890/14090]	Time 0.730 (0.749)	Data 0.001 (0.001)	Loss 2.1199 (1.7993)	Prec@1 42.188 (52.740)	Prec@5 79.688 (82.079)
Epoch: [82][11900/14090]	Time 0.728 (0.749)	Data 0.001 (0.001)	Loss 1.7769 (1.7993)	Prec@1 56.250 (52.737)	Prec@5 83.594 (82.078)
Epoch: [82][11910/14090]	Time 0.753 (0.749)	Data 0.001 (0.001)	Loss 2.0997 (1.7994)	Prec@1 40.625 (52.735)	Prec@5 74.219 (82.076)
Epoch: [82][11920/14090]	Time 0.773 (0.749)	Data 0.001 (0.001)	Loss 1.7202 (1.7993)	Prec@1 54.688 (52.738)	Prec@5 81.250 (82.078)
Epoch: [82][11930/14090]	Time 0.736 (0.749)	Data 0.001 (0.001)	Loss 1.4441 (1.7993)	Prec@1 57.812 (52.737)	Prec@5 89.062 (82.078)
Epoch: [82][11940/14090]	Time 0.767 (0.749)	Data 0.001 (0.001)	Loss 2.0014 (1.7994)	Prec@1 51.562 (52.736)	Prec@5 79.688 (82.076)
Epoch: [82][11950/14090]	Time 0.733 (0.749)	Data 0.002 (0.001)	Loss 1.7831 (1.7994)	Prec@1 54.688 (52.735)	Prec@5 83.594 (82.076)
Epoch: [82][11960/14090]	Time 0.728 (0.749)	Data 0.001 (0.001)	Loss 1.7833 (1.7994)	Prec@1 53.125 (52.734)	Prec@5 81.250 (82.076)
Epoch: [82][11970/14090]	Time 0.741 (0.749)	Data 0.001 (0.001)	Loss 1.7550 (1.7994)	Prec@1 50.781 (52.733)	Prec@5 83.594 (82.075)
Epoch: [82][11980/14090]	Time 0.762 (0.749)	Data 0.001 (0.001)	Loss 1.7704 (1.7994)	Prec@1 50.781 (52.734)	Prec@5 85.156 (82.076)
Epoch: [82][11990/14090]	Time 0.760 (0.749)	Data 0.001 (0.001)	Loss 1.9426 (1.7994)	Prec@1 48.438 (52.734)	Prec@5 78.906 (82.075)
Epoch: [82][12000/14090]	Time 0.769 (0.749)	Data 0.000 (0.001)	Loss 2.0386 (1.7994)	Prec@1 46.094 (52.734)	Prec@5 75.000 (82.074)
Epoch: [82][12010/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 1.9680 (1.7994)	Prec@1 50.000 (52.734)	Prec@5 76.562 (82.074)
Epoch: [82][12020/14090]	Time 0.733 (0.749)	Data 0.002 (0.001)	Loss 1.9687 (1.7995)	Prec@1 49.219 (52.732)	Prec@5 80.469 (82.074)
Epoch: [82][12030/14090]	Time 0.806 (0.749)	Data 0.001 (0.001)	Loss 2.2473 (1.7994)	Prec@1 44.531 (52.733)	Prec@5 73.438 (82.074)
Epoch: [82][12040/14090]	Time 0.740 (0.749)	Data 0.001 (0.001)	Loss 1.6153 (1.7994)	Prec@1 53.906 (52.734)	Prec@5 84.375 (82.076)
Epoch: [82][12050/14090]	Time 0.747 (0.749)	Data 0.001 (0.001)	Loss 1.6533 (1.7994)	Prec@1 57.812 (52.735)	Prec@5 83.594 (82.076)
Epoch: [82][12060/14090]	Time 0.739 (0.749)	Data 0.001 (0.001)	Loss 1.8265 (1.7994)	Prec@1 54.688 (52.735)	Prec@5 79.688 (82.075)
Epoch: [82][12070/14090]	Time 0.720 (0.749)	Data 0.001 (0.001)	Loss 1.8320 (1.7994)	Prec@1 48.438 (52.734)	Prec@5 82.812 (82.075)
Epoch: [82][12080/14090]	Time 0.745 (0.749)	Data 0.001 (0.001)	Loss 1.9080 (1.7994)	Prec@1 54.688 (52.735)	Prec@5 81.250 (82.073)
Epoch: [82][12090/14090]	Time 0.737 (0.749)	Data 0.002 (0.001)	Loss 1.8578 (1.7995)	Prec@1 50.000 (52.734)	Prec@5 81.250 (82.072)
Epoch: [82][12100/14090]	Time 0.766 (0.749)	Data 0.001 (0.001)	Loss 1.6908 (1.7994)	Prec@1 55.469 (52.734)	Prec@5 85.156 (82.073)
Epoch: [82][12110/14090]	Time 0.778 (0.749)	Data 0.001 (0.001)	Loss 1.7777 (1.7994)	Prec@1 53.906 (52.735)	Prec@5 82.812 (82.074)
Epoch: [82][12120/14090]	Time 0.721 (0.749)	Data 0.001 (0.001)	Loss 1.5000 (1.7994)	Prec@1 56.250 (52.734)	Prec@5 87.500 (82.073)
Epoch: [82][12130/14090]	Time 0.732 (0.749)	Data 0.001 (0.001)	Loss 1.6236 (1.7994)	Prec@1 60.156 (52.734)	Prec@5 85.938 (82.074)
Epoch: [82][12140/14090]	Time 0.779 (0.749)	Data 0.001 (0.001)	Loss 1.7588 (1.7994)	Prec@1 60.156 (52.736)	Prec@5 78.906 (82.073)
Epoch: [82][12150/14090]	Time 0.726 (0.749)	Data 0.001 (0.001)	Loss 1.6082 (1.7993)	Prec@1 58.594 (52.737)	Prec@5 84.375 (82.074)
Epoch: [82][12160/14090]	Time 0.764 (0.749)	Data 0.002 (0.001)	Loss 1.7030 (1.7994)	Prec@1 53.906 (52.736)	Prec@5 86.719 (82.074)
Epoch: [82][12170/14090]	Time 0.742 (0.749)	Data 0.001 (0.001)	Loss 1.8723 (1.7994)	Prec@1 54.688 (52.736)	Prec@5 82.031 (82.074)
Epoch: [82][12180/14090]	Time 0.744 (0.749)	Data 0.001 (0.001)	Loss 1.9421 (1.7994)	Prec@1 47.656 (52.734)	Prec@5 78.906 (82.074)
Epoch: [82][12190/14090]	Time 0.766 (0.749)	Data 0.001 (0.001)	Loss 1.9872 (1.7995)	Prec@1 46.875 (52.732)	Prec@5 83.594 (82.071)
Epoch: [82][12200/14090]	Time 0.776 (0.749)	Data 0.001 (0.001)	Loss 1.6137 (1.7996)	Prec@1 53.906 (52.731)	Prec@5 85.938 (82.070)
Epoch: [82][12210/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 1.5761 (1.7996)	Prec@1 60.156 (52.732)	Prec@5 85.938 (82.071)
Epoch: [82][12220/14090]	Time 0.723 (0.749)	Data 0.001 (0.001)	Loss 1.9370 (1.7996)	Prec@1 51.562 (52.730)	Prec@5 78.906 (82.071)
Epoch: [82][12230/14090]	Time 0.733 (0.749)	Data 0.002 (0.001)	Loss 1.6161 (1.7996)	Prec@1 54.688 (52.729)	Prec@5 86.719 (82.070)
Epoch: [82][12240/14090]	Time 0.753 (0.749)	Data 0.001 (0.001)	Loss 1.9505 (1.7996)	Prec@1 50.781 (52.728)	Prec@5 76.562 (82.071)
Epoch: [82][12250/14090]	Time 0.734 (0.749)	Data 0.001 (0.001)	Loss 1.9456 (1.7996)	Prec@1 48.438 (52.728)	Prec@5 81.250 (82.070)
Epoch: [82][12260/14090]	Time 0.761 (0.749)	Data 0.001 (0.001)	Loss 1.7303 (1.7996)	Prec@1 56.250 (52.729)	Prec@5 85.938 (82.070)
Epoch: [82][12270/14090]	Time 0.747 (0.749)	Data 0.001 (0.001)	Loss 1.8777 (1.7996)	Prec@1 50.000 (52.729)	Prec@5 79.688 (82.068)
Epoch: [82][12280/14090]	Time 0.720 (0.749)	Data 0.001 (0.001)	Loss 1.8212 (1.7997)	Prec@1 49.219 (52.728)	Prec@5 79.688 (82.067)
Epoch: [82][12290/14090]	Time 0.753 (0.749)	Data 0.001 (0.001)	Loss 1.4417 (1.7997)	Prec@1 63.281 (52.727)	Prec@5 89.844 (82.066)
Epoch: [82][12300/14090]	Time 0.768 (0.749)	Data 0.002 (0.001)	Loss 1.6730 (1.7997)	Prec@1 58.594 (52.728)	Prec@5 84.375 (82.066)
Epoch: [82][12310/14090]	Time 0.758 (0.749)	Data 0.001 (0.001)	Loss 1.6989 (1.7997)	Prec@1 60.938 (52.728)	Prec@5 81.250 (82.066)
Epoch: [82][12320/14090]	Time 0.726 (0.749)	Data 0.001 (0.001)	Loss 2.0435 (1.7997)	Prec@1 53.906 (52.729)	Prec@5 72.656 (82.065)
Epoch: [82][12330/14090]	Time 0.764 (0.749)	Data 0.001 (0.001)	Loss 1.9927 (1.7998)	Prec@1 47.656 (52.727)	Prec@5 80.469 (82.064)
Epoch: [82][12340/14090]	Time 0.737 (0.749)	Data 0.001 (0.001)	Loss 2.1019 (1.7998)	Prec@1 42.969 (52.724)	Prec@5 77.344 (82.063)
Epoch: [82][12350/14090]	Time 0.758 (0.749)	Data 0.001 (0.001)	Loss 1.9089 (1.7999)	Prec@1 49.219 (52.723)	Prec@5 78.906 (82.062)
Epoch: [82][12360/14090]	Time 0.743 (0.749)	Data 0.001 (0.001)	Loss 1.8715 (1.7999)	Prec@1 44.531 (52.723)	Prec@5 76.562 (82.061)
Epoch: [82][12370/14090]	Time 0.758 (0.749)	Data 0.002 (0.001)	Loss 1.7251 (1.7999)	Prec@1 56.250 (52.721)	Prec@5 89.062 (82.061)
Epoch: [82][12380/14090]	Time 0.753 (0.749)	Data 0.001 (0.001)	Loss 1.9128 (1.7999)	Prec@1 46.875 (52.720)	Prec@5 78.906 (82.061)
Epoch: [82][12390/14090]	Time 0.749 (0.749)	Data 0.001 (0.001)	Loss 1.7580 (1.7999)	Prec@1 56.250 (52.720)	Prec@5 81.250 (82.061)
Epoch: [82][12400/14090]	Time 0.748 (0.749)	Data 0.001 (0.001)	Loss 1.8352 (1.8000)	Prec@1 51.562 (52.719)	Prec@5 82.031 (82.060)
Epoch: [82][12410/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 1.8388 (1.8000)	Prec@1 53.906 (52.719)	Prec@5 84.375 (82.061)
Epoch: [82][12420/14090]	Time 0.750 (0.749)	Data 0.001 (0.001)	Loss 1.6583 (1.8000)	Prec@1 54.688 (52.718)	Prec@5 88.281 (82.060)
Epoch: [82][12430/14090]	Time 0.731 (0.749)	Data 0.001 (0.001)	Loss 1.6251 (1.8000)	Prec@1 54.688 (52.717)	Prec@5 79.688 (82.062)
Epoch: [82][12440/14090]	Time 0.752 (0.749)	Data 0.002 (0.001)	Loss 1.9208 (1.8001)	Prec@1 49.219 (52.714)	Prec@5 79.688 (82.061)
Epoch: [82][12450/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 1.9498 (1.8001)	Prec@1 53.125 (52.715)	Prec@5 76.562 (82.060)
Epoch: [82][12460/14090]	Time 0.730 (0.749)	Data 0.001 (0.001)	Loss 1.6536 (1.8000)	Prec@1 52.344 (52.715)	Prec@5 84.375 (82.062)
Epoch: [82][12470/14090]	Time 0.725 (0.749)	Data 0.001 (0.001)	Loss 1.7831 (1.8000)	Prec@1 57.031 (52.716)	Prec@5 85.156 (82.063)
Epoch: [82][12480/14090]	Time 0.728 (0.749)	Data 0.001 (0.001)	Loss 1.7389 (1.8000)	Prec@1 50.000 (52.717)	Prec@5 86.719 (82.064)
Epoch: [82][12490/14090]	Time 0.729 (0.749)	Data 0.001 (0.001)	Loss 1.8820 (1.8000)	Prec@1 53.906 (52.716)	Prec@5 82.812 (82.063)
Epoch: [82][12500/14090]	Time 0.774 (0.749)	Data 0.001 (0.001)	Loss 1.7861 (1.8000)	Prec@1 51.562 (52.716)	Prec@5 81.250 (82.063)
Epoch: [82][12510/14090]	Time 0.759 (0.749)	Data 0.002 (0.001)	Loss 1.7109 (1.8000)	Prec@1 60.938 (52.717)	Prec@5 83.594 (82.063)
Epoch: [82][12520/14090]	Time 0.757 (0.749)	Data 0.001 (0.001)	Loss 1.5896 (1.7999)	Prec@1 58.594 (52.717)	Prec@5 84.375 (82.064)
Epoch: [82][12530/14090]	Time 0.726 (0.749)	Data 0.001 (0.001)	Loss 1.8780 (1.8000)	Prec@1 54.688 (52.715)	Prec@5 80.469 (82.063)
Epoch: [82][12540/14090]	Time 0.731 (0.749)	Data 0.001 (0.001)	Loss 1.8564 (1.8000)	Prec@1 51.562 (52.715)	Prec@5 78.906 (82.063)
Epoch: [82][12550/14090]	Time 0.739 (0.749)	Data 0.001 (0.001)	Loss 1.7862 (1.7999)	Prec@1 50.781 (52.716)	Prec@5 82.031 (82.064)
Epoch: [82][12560/14090]	Time 0.719 (0.749)	Data 0.001 (0.001)	Loss 1.8598 (1.7999)	Prec@1 53.906 (52.715)	Prec@5 80.469 (82.063)
Epoch: [82][12570/14090]	Time 0.731 (0.749)	Data 0.001 (0.001)	Loss 1.5104 (1.7999)	Prec@1 61.719 (52.717)	Prec@5 90.625 (82.063)
Epoch: [82][12580/14090]	Time 0.776 (0.749)	Data 0.002 (0.001)	Loss 2.0680 (1.7999)	Prec@1 50.781 (52.716)	Prec@5 77.344 (82.063)
Epoch: [82][12590/14090]	Time 0.779 (0.749)	Data 0.001 (0.001)	Loss 1.9292 (1.7999)	Prec@1 55.469 (52.717)	Prec@5 82.031 (82.062)
Epoch: [82][12600/14090]	Time 0.775 (0.749)	Data 0.001 (0.001)	Loss 1.9390 (1.7999)	Prec@1 53.906 (52.719)	Prec@5 85.156 (82.063)
Epoch: [82][12610/14090]	Time 0.724 (0.749)	Data 0.001 (0.001)	Loss 1.8594 (1.7999)	Prec@1 53.125 (52.719)	Prec@5 77.344 (82.063)
Epoch: [82][12620/14090]	Time 0.746 (0.749)	Data 0.001 (0.001)	Loss 1.6909 (1.8000)	Prec@1 55.469 (52.719)	Prec@5 84.375 (82.062)
Epoch: [82][12630/14090]	Time 0.767 (0.749)	Data 0.001 (0.001)	Loss 1.6487 (1.7999)	Prec@1 59.375 (52.719)	Prec@5 82.812 (82.062)
Epoch: [82][12640/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 1.7544 (1.8000)	Prec@1 52.344 (52.719)	Prec@5 85.156 (82.062)
Epoch: [82][12650/14090]	Time 0.746 (0.749)	Data 0.002 (0.001)	Loss 1.5744 (1.8000)	Prec@1 53.125 (52.718)	Prec@5 85.156 (82.062)
Epoch: [82][12660/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 1.8304 (1.8000)	Prec@1 52.344 (52.717)	Prec@5 81.250 (82.061)
Epoch: [82][12670/14090]	Time 0.725 (0.749)	Data 0.001 (0.001)	Loss 2.2540 (1.8000)	Prec@1 44.531 (52.717)	Prec@5 67.969 (82.061)
Epoch: [82][12680/14090]	Time 0.733 (0.749)	Data 0.001 (0.001)	Loss 1.8873 (1.8001)	Prec@1 53.906 (52.715)	Prec@5 79.688 (82.059)
Epoch: [82][12690/14090]	Time 0.736 (0.749)	Data 0.001 (0.001)	Loss 1.9198 (1.8002)	Prec@1 50.000 (52.715)	Prec@5 82.031 (82.058)
Epoch: [82][12700/14090]	Time 0.756 (0.749)	Data 0.002 (0.001)	Loss 1.6102 (1.8003)	Prec@1 59.375 (52.713)	Prec@5 86.719 (82.057)
Epoch: [82][12710/14090]	Time 0.729 (0.749)	Data 0.001 (0.001)	Loss 1.7020 (1.8003)	Prec@1 57.031 (52.711)	Prec@5 85.156 (82.055)
Epoch: [82][12720/14090]	Time 0.741 (0.749)	Data 0.002 (0.001)	Loss 1.8155 (1.8004)	Prec@1 53.125 (52.711)	Prec@5 81.250 (82.053)
Epoch: [82][12730/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 1.7563 (1.8004)	Prec@1 55.469 (52.710)	Prec@5 83.594 (82.054)
Epoch: [82][12740/14090]	Time 0.730 (0.749)	Data 0.001 (0.001)	Loss 1.8031 (1.8004)	Prec@1 50.000 (52.710)	Prec@5 82.031 (82.053)
Epoch: [82][12750/14090]	Time 0.772 (0.749)	Data 0.001 (0.001)	Loss 1.8697 (1.8004)	Prec@1 53.906 (52.709)	Prec@5 77.344 (82.054)
Epoch: [82][12760/14090]	Time 0.732 (0.749)	Data 0.001 (0.001)	Loss 1.8418 (1.8004)	Prec@1 54.688 (52.709)	Prec@5 78.906 (82.054)
Epoch: [82][12770/14090]	Time 0.757 (0.749)	Data 0.001 (0.001)	Loss 1.8097 (1.8004)	Prec@1 57.031 (52.710)	Prec@5 81.250 (82.053)
Epoch: [82][12780/14090]	Time 0.725 (0.749)	Data 0.001 (0.001)	Loss 1.8170 (1.8004)	Prec@1 49.219 (52.711)	Prec@5 79.688 (82.053)
Epoch: [82][12790/14090]	Time 0.756 (0.749)	Data 0.002 (0.001)	Loss 1.8318 (1.8005)	Prec@1 52.344 (52.710)	Prec@5 82.812 (82.052)
Epoch: [82][12800/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 2.0313 (1.8005)	Prec@1 43.750 (52.709)	Prec@5 76.562 (82.052)
Epoch: [82][12810/14090]	Time 0.749 (0.749)	Data 0.001 (0.001)	Loss 1.8024 (1.8005)	Prec@1 47.656 (52.709)	Prec@5 82.031 (82.051)
Epoch: [82][12820/14090]	Time 0.746 (0.749)	Data 0.001 (0.001)	Loss 1.8097 (1.8005)	Prec@1 52.344 (52.708)	Prec@5 83.594 (82.051)
Epoch: [82][12830/14090]	Time 0.770 (0.749)	Data 0.001 (0.001)	Loss 1.9995 (1.8005)	Prec@1 46.094 (52.708)	Prec@5 80.469 (82.050)
Epoch: [82][12840/14090]	Time 0.735 (0.749)	Data 0.001 (0.001)	Loss 1.7503 (1.8005)	Prec@1 53.906 (52.707)	Prec@5 82.031 (82.050)
Epoch: [82][12850/14090]	Time 0.746 (0.749)	Data 0.001 (0.001)	Loss 1.7152 (1.8005)	Prec@1 51.562 (52.706)	Prec@5 85.938 (82.050)
Epoch: [82][12860/14090]	Time 0.734 (0.749)	Data 0.002 (0.001)	Loss 2.1204 (1.8005)	Prec@1 49.219 (52.706)	Prec@5 75.781 (82.050)
Epoch: [82][12870/14090]	Time 0.752 (0.749)	Data 0.001 (0.001)	Loss 1.9387 (1.8005)	Prec@1 46.875 (52.706)	Prec@5 80.469 (82.050)
Epoch: [82][12880/14090]	Time 0.730 (0.749)	Data 0.001 (0.001)	Loss 1.7698 (1.8005)	Prec@1 51.562 (52.706)	Prec@5 80.469 (82.050)
Epoch: [82][12890/14090]	Time 0.770 (0.749)	Data 0.001 (0.001)	Loss 1.7451 (1.8006)	Prec@1 54.688 (52.705)	Prec@5 80.469 (82.050)
Epoch: [82][12900/14090]	Time 0.745 (0.749)	Data 0.001 (0.001)	Loss 1.8022 (1.8006)	Prec@1 46.094 (52.705)	Prec@5 82.812 (82.049)
Epoch: [82][12910/14090]	Time 0.729 (0.749)	Data 0.001 (0.001)	Loss 1.8051 (1.8006)	Prec@1 48.438 (52.704)	Prec@5 82.031 (82.048)
Epoch: [82][12920/14090]	Time 0.756 (0.749)	Data 0.001 (0.001)	Loss 1.9005 (1.8007)	Prec@1 51.562 (52.702)	Prec@5 81.250 (82.047)
Epoch: [82][12930/14090]	Time 0.734 (0.749)	Data 0.002 (0.001)	Loss 1.9704 (1.8007)	Prec@1 52.344 (52.703)	Prec@5 78.125 (82.047)
Epoch: [82][12940/14090]	Time 0.745 (0.749)	Data 0.001 (0.001)	Loss 1.9206 (1.8007)	Prec@1 46.875 (52.702)	Prec@5 79.688 (82.046)
Epoch: [82][12950/14090]	Time 0.754 (0.749)	Data 0.001 (0.001)	Loss 1.9496 (1.8007)	Prec@1 53.125 (52.700)	Prec@5 77.344 (82.045)
Epoch: [82][12960/14090]	Time 0.734 (0.749)	Data 0.001 (0.001)	Loss 1.9077 (1.8007)	Prec@1 51.562 (52.701)	Prec@5 81.250 (82.046)
Epoch: [82][12970/14090]	Time 0.771 (0.749)	Data 0.001 (0.001)	Loss 1.9860 (1.8007)	Prec@1 50.781 (52.702)	Prec@5 77.344 (82.046)
Epoch: [82][12980/14090]	Time 0.725 (0.749)	Data 0.001 (0.001)	Loss 1.9638 (1.8008)	Prec@1 53.125 (52.700)	Prec@5 77.344 (82.045)
Epoch: [82][12990/14090]	Time 0.731 (0.749)	Data 0.001 (0.001)	Loss 1.9421 (1.8009)	Prec@1 43.750 (52.697)	Prec@5 77.344 (82.043)
Epoch: [82][13000/14090]	Time 0.771 (0.749)	Data 0.002 (0.001)	Loss 1.9326 (1.8010)	Prec@1 43.750 (52.694)	Prec@5 76.562 (82.042)
Epoch: [82][13010/14090]	Time 0.732 (0.749)	Data 0.001 (0.001)	Loss 1.9403 (1.8010)	Prec@1 49.219 (52.694)	Prec@5 78.906 (82.042)
Epoch: [82][13020/14090]	Time 0.743 (0.749)	Data 0.001 (0.001)	Loss 1.8259 (1.8009)	Prec@1 51.562 (52.694)	Prec@5 79.688 (82.043)
Epoch: [82][13030/14090]	Time 0.786 (0.749)	Data 0.001 (0.001)	Loss 1.7225 (1.8009)	Prec@1 53.906 (52.694)	Prec@5 82.812 (82.043)
Epoch: [82][13040/14090]	Time 0.765 (0.749)	Data 0.001 (0.001)	Loss 2.0969 (1.8010)	Prec@1 46.094 (52.692)	Prec@5 74.219 (82.040)
Epoch: [82][13050/14090]	Time 0.724 (0.749)	Data 0.001 (0.001)	Loss 1.9825 (1.8010)	Prec@1 50.781 (52.695)	Prec@5 78.125 (82.041)
Epoch: [82][13060/14090]	Time 0.747 (0.749)	Data 0.001 (0.001)	Loss 1.9454 (1.8009)	Prec@1 52.344 (52.697)	Prec@5 78.906 (82.042)
Epoch: [82][13070/14090]	Time 0.767 (0.749)	Data 0.002 (0.001)	Loss 1.6191 (1.8009)	Prec@1 60.156 (52.697)	Prec@5 83.594 (82.041)
Epoch: [82][13080/14090]	Time 0.766 (0.749)	Data 0.001 (0.001)	Loss 1.8971 (1.8010)	Prec@1 52.344 (52.697)	Prec@5 80.469 (82.042)
Epoch: [82][13090/14090]	Time 0.784 (0.749)	Data 0.001 (0.001)	Loss 2.0708 (1.8010)	Prec@1 46.094 (52.696)	Prec@5 77.344 (82.042)
Epoch: [82][13100/14090]	Time 0.740 (0.749)	Data 0.001 (0.001)	Loss 1.8679 (1.8010)	Prec@1 50.000 (52.695)	Prec@5 80.469 (82.040)
Epoch: [82][13110/14090]	Time 0.768 (0.749)	Data 0.001 (0.001)	Loss 1.7695 (1.8011)	Prec@1 52.344 (52.694)	Prec@5 82.812 (82.039)
Epoch: [82][13120/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 1.7794 (1.8011)	Prec@1 46.875 (52.693)	Prec@5 83.594 (82.040)
Epoch: [82][13130/14090]	Time 0.754 (0.749)	Data 0.001 (0.001)	Loss 1.9100 (1.8010)	Prec@1 48.438 (52.694)	Prec@5 79.688 (82.040)
Epoch: [82][13140/14090]	Time 0.760 (0.749)	Data 0.002 (0.001)	Loss 1.7565 (1.8010)	Prec@1 58.594 (52.696)	Prec@5 82.031 (82.040)
Epoch: [82][13150/14090]	Time 0.756 (0.749)	Data 0.001 (0.001)	Loss 1.8819 (1.8010)	Prec@1 51.562 (52.696)	Prec@5 81.250 (82.041)
Epoch: [82][13160/14090]	Time 0.769 (0.749)	Data 0.001 (0.001)	Loss 1.6899 (1.8010)	Prec@1 56.250 (52.697)	Prec@5 85.938 (82.042)
Epoch: [82][13170/14090]	Time 0.770 (0.749)	Data 0.001 (0.001)	Loss 1.7264 (1.8010)	Prec@1 53.125 (52.697)	Prec@5 85.156 (82.041)
Epoch: [82][13180/14090]	Time 0.731 (0.749)	Data 0.001 (0.001)	Loss 1.8105 (1.8010)	Prec@1 53.906 (52.697)	Prec@5 83.594 (82.041)
Epoch: [82][13190/14090]	Time 0.744 (0.749)	Data 0.001 (0.001)	Loss 1.5764 (1.8010)	Prec@1 60.156 (52.696)	Prec@5 85.156 (82.040)
Epoch: [82][13200/14090]	Time 0.721 (0.749)	Data 0.001 (0.001)	Loss 1.9433 (1.8010)	Prec@1 48.438 (52.696)	Prec@5 82.031 (82.040)
Epoch: [82][13210/14090]	Time 0.749 (0.749)	Data 0.002 (0.001)	Loss 1.5547 (1.8010)	Prec@1 57.812 (52.696)	Prec@5 89.062 (82.039)
Epoch: [82][13220/14090]	Time 0.769 (0.749)	Data 0.001 (0.001)	Loss 1.9806 (1.8011)	Prec@1 46.875 (52.696)	Prec@5 82.031 (82.038)
Epoch: [82][13230/14090]	Time 0.731 (0.749)	Data 0.001 (0.001)	Loss 1.9037 (1.8011)	Prec@1 51.562 (52.696)	Prec@5 80.469 (82.040)
Epoch: [82][13240/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 1.6675 (1.8012)	Prec@1 55.469 (52.695)	Prec@5 85.156 (82.038)
Epoch: [82][13250/14090]	Time 0.752 (0.749)	Data 0.001 (0.001)	Loss 1.8882 (1.8011)	Prec@1 48.438 (52.696)	Prec@5 82.031 (82.039)
Epoch: [82][13260/14090]	Time 0.737 (0.749)	Data 0.001 (0.001)	Loss 1.7388 (1.8010)	Prec@1 53.906 (52.698)	Prec@5 82.031 (82.040)
Epoch: [82][13270/14090]	Time 0.730 (0.749)	Data 0.001 (0.001)	Loss 1.7139 (1.8010)	Prec@1 47.656 (52.698)	Prec@5 82.812 (82.040)
Epoch: [82][13280/14090]	Time 0.777 (0.749)	Data 0.002 (0.001)	Loss 1.6580 (1.8010)	Prec@1 55.469 (52.699)	Prec@5 85.156 (82.039)
Epoch: [82][13290/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 1.5476 (1.8010)	Prec@1 57.031 (52.698)	Prec@5 85.938 (82.039)
Epoch: [82][13300/14090]	Time 0.734 (0.749)	Data 0.001 (0.001)	Loss 1.9166 (1.8010)	Prec@1 51.562 (52.696)	Prec@5 78.125 (82.039)
Epoch: [82][13310/14090]	Time 0.774 (0.749)	Data 0.001 (0.001)	Loss 1.6890 (1.8011)	Prec@1 55.469 (52.696)	Prec@5 85.938 (82.039)
Epoch: [82][13320/14090]	Time 0.752 (0.749)	Data 0.001 (0.001)	Loss 1.6378 (1.8010)	Prec@1 55.469 (52.696)	Prec@5 85.156 (82.041)
Epoch: [82][13330/14090]	Time 0.759 (0.749)	Data 0.001 (0.001)	Loss 1.9199 (1.8011)	Prec@1 46.094 (52.695)	Prec@5 84.375 (82.039)
Epoch: [82][13340/14090]	Time 0.730 (0.749)	Data 0.001 (0.001)	Loss 1.9595 (1.8011)	Prec@1 50.000 (52.693)	Prec@5 78.125 (82.039)
Epoch: [82][13350/14090]	Time 0.736 (0.749)	Data 0.002 (0.001)	Loss 1.7278 (1.8012)	Prec@1 55.469 (52.694)	Prec@5 81.250 (82.038)
Epoch: [82][13360/14090]	Time 0.776 (0.749)	Data 0.001 (0.001)	Loss 1.7470 (1.8011)	Prec@1 61.719 (52.693)	Prec@5 82.031 (82.039)
Epoch: [82][13370/14090]	Time 0.730 (0.749)	Data 0.001 (0.001)	Loss 1.7901 (1.8012)	Prec@1 50.000 (52.692)	Prec@5 82.812 (82.038)
Epoch: [82][13380/14090]	Time 0.734 (0.749)	Data 0.001 (0.001)	Loss 1.7684 (1.8011)	Prec@1 50.781 (52.693)	Prec@5 81.250 (82.038)
Epoch: [82][13390/14090]	Time 0.738 (0.749)	Data 0.001 (0.001)	Loss 1.8948 (1.8011)	Prec@1 53.125 (52.693)	Prec@5 79.688 (82.038)
Epoch: [82][13400/14090]	Time 0.757 (0.749)	Data 0.001 (0.001)	Loss 1.5688 (1.8011)	Prec@1 60.938 (52.692)	Prec@5 85.156 (82.040)
Epoch: [82][13410/14090]	Time 0.755 (0.749)	Data 0.001 (0.001)	Loss 2.1370 (1.8011)	Prec@1 43.750 (52.690)	Prec@5 76.562 (82.039)
Epoch: [82][13420/14090]	Time 0.734 (0.749)	Data 0.002 (0.001)	Loss 1.7330 (1.8012)	Prec@1 56.250 (52.689)	Prec@5 81.250 (82.039)
Epoch: [82][13430/14090]	Time 0.734 (0.749)	Data 0.001 (0.001)	Loss 1.9304 (1.8012)	Prec@1 43.750 (52.687)	Prec@5 82.031 (82.038)
Epoch: [82][13440/14090]	Time 0.744 (0.749)	Data 0.001 (0.001)	Loss 1.7076 (1.8012)	Prec@1 55.469 (52.685)	Prec@5 81.250 (82.038)
Epoch: [82][13450/14090]	Time 0.778 (0.749)	Data 0.001 (0.001)	Loss 1.9736 (1.8012)	Prec@1 53.906 (52.685)	Prec@5 80.469 (82.038)
Epoch: [82][13460/14090]	Time 0.745 (0.749)	Data 0.001 (0.001)	Loss 1.5725 (1.8012)	Prec@1 58.594 (52.685)	Prec@5 83.594 (82.038)
Epoch: [82][13470/14090]	Time 0.744 (0.749)	Data 0.001 (0.001)	Loss 1.8086 (1.8013)	Prec@1 53.906 (52.684)	Prec@5 77.344 (82.036)
Epoch: [82][13480/14090]	Time 0.742 (0.749)	Data 0.001 (0.001)	Loss 1.7438 (1.8013)	Prec@1 56.250 (52.684)	Prec@5 81.250 (82.036)
Epoch: [82][13490/14090]	Time 0.726 (0.749)	Data 0.002 (0.001)	Loss 1.9056 (1.8013)	Prec@1 55.469 (52.684)	Prec@5 80.469 (82.036)
Epoch: [82][13500/14090]	Time 0.736 (0.749)	Data 0.001 (0.001)	Loss 1.7966 (1.8013)	Prec@1 46.094 (52.684)	Prec@5 85.938 (82.037)
Epoch: [82][13510/14090]	Time 0.725 (0.749)	Data 0.001 (0.001)	Loss 1.8399 (1.8013)	Prec@1 49.219 (52.683)	Prec@5 78.125 (82.036)
Epoch: [82][13520/14090]	Time 0.773 (0.749)	Data 0.001 (0.001)	Loss 2.0422 (1.8014)	Prec@1 51.562 (52.683)	Prec@5 77.344 (82.035)
Epoch: [82][13530/14090]	Time 0.750 (0.749)	Data 0.001 (0.001)	Loss 1.9426 (1.8014)	Prec@1 44.531 (52.682)	Prec@5 76.562 (82.035)
Epoch: [82][13540/14090]	Time 0.750 (0.749)	Data 0.001 (0.001)	Loss 1.9773 (1.8015)	Prec@1 55.469 (52.682)	Prec@5 72.656 (82.032)
Epoch: [82][13550/14090]	Time 0.721 (0.749)	Data 0.001 (0.001)	Loss 1.9737 (1.8014)	Prec@1 46.875 (52.682)	Prec@5 82.031 (82.034)
Epoch: [82][13560/14090]	Time 0.791 (0.749)	Data 0.002 (0.001)	Loss 1.8310 (1.8014)	Prec@1 49.219 (52.683)	Prec@5 82.031 (82.034)
Epoch: [82][13570/14090]	Time 0.745 (0.749)	Data 0.001 (0.001)	Loss 1.8015 (1.8014)	Prec@1 54.688 (52.683)	Prec@5 80.469 (82.034)
Epoch: [82][13580/14090]	Time 0.759 (0.749)	Data 0.001 (0.001)	Loss 2.1127 (1.8015)	Prec@1 46.875 (52.681)	Prec@5 76.562 (82.032)
Epoch: [82][13590/14090]	Time 0.720 (0.749)	Data 0.001 (0.001)	Loss 2.0099 (1.8015)	Prec@1 46.094 (52.680)	Prec@5 75.000 (82.031)
Epoch: [82][13600/14090]	Time 0.735 (0.749)	Data 0.001 (0.001)	Loss 1.8264 (1.8015)	Prec@1 52.344 (52.680)	Prec@5 82.031 (82.031)
Epoch: [82][13610/14090]	Time 0.733 (0.749)	Data 0.001 (0.001)	Loss 1.7945 (1.8015)	Prec@1 56.250 (52.680)	Prec@5 82.031 (82.031)
Epoch: [82][13620/14090]	Time 0.777 (0.749)	Data 0.001 (0.001)	Loss 1.9182 (1.8016)	Prec@1 49.219 (52.677)	Prec@5 81.250 (82.029)
Epoch: [82][13630/14090]	Time 0.742 (0.749)	Data 0.002 (0.001)	Loss 1.7155 (1.8016)	Prec@1 54.688 (52.676)	Prec@5 85.938 (82.030)
Epoch: [82][13640/14090]	Time 0.731 (0.749)	Data 0.001 (0.001)	Loss 2.0109 (1.8016)	Prec@1 50.781 (52.676)	Prec@5 78.125 (82.030)
Epoch: [82][13650/14090]	Time 0.750 (0.749)	Data 0.001 (0.001)	Loss 1.7570 (1.8016)	Prec@1 55.469 (52.676)	Prec@5 85.156 (82.029)
Epoch: [82][13660/14090]	Time 0.746 (0.749)	Data 0.001 (0.001)	Loss 1.8161 (1.8016)	Prec@1 53.906 (52.676)	Prec@5 80.469 (82.030)
Epoch: [82][13670/14090]	Time 0.765 (0.749)	Data 0.001 (0.001)	Loss 2.1737 (1.8017)	Prec@1 37.500 (52.675)	Prec@5 76.562 (82.029)
Epoch: [82][13680/14090]	Time 0.736 (0.749)	Data 0.001 (0.001)	Loss 1.8852 (1.8017)	Prec@1 50.000 (52.675)	Prec@5 80.469 (82.028)
Epoch: [82][13690/14090]	Time 0.736 (0.749)	Data 0.001 (0.001)	Loss 1.8748 (1.8018)	Prec@1 52.344 (52.675)	Prec@5 78.906 (82.027)
Epoch: [82][13700/14090]	Time 0.733 (0.749)	Data 0.003 (0.001)	Loss 1.8289 (1.8018)	Prec@1 52.344 (52.673)	Prec@5 80.469 (82.026)
Epoch: [82][13710/14090]	Time 0.735 (0.749)	Data 0.001 (0.001)	Loss 1.6612 (1.8018)	Prec@1 57.031 (52.674)	Prec@5 84.375 (82.026)
Epoch: [82][13720/14090]	Time 0.748 (0.749)	Data 0.001 (0.001)	Loss 1.7639 (1.8018)	Prec@1 50.000 (52.674)	Prec@5 81.250 (82.026)
Epoch: [82][13730/14090]	Time 0.730 (0.749)	Data 0.001 (0.001)	Loss 2.0902 (1.8019)	Prec@1 44.531 (52.673)	Prec@5 78.125 (82.026)
Epoch: [82][13740/14090]	Time 0.750 (0.749)	Data 0.001 (0.001)	Loss 1.8163 (1.8019)	Prec@1 53.906 (52.670)	Prec@5 80.469 (82.024)
Epoch: [82][13750/14090]	Time 0.732 (0.749)	Data 0.001 (0.001)	Loss 1.8639 (1.8019)	Prec@1 50.781 (52.671)	Prec@5 81.250 (82.024)
Epoch: [82][13760/14090]	Time 0.773 (0.749)	Data 0.001 (0.001)	Loss 1.4245 (1.8019)	Prec@1 60.156 (52.670)	Prec@5 85.938 (82.024)
Epoch: [82][13770/14090]	Time 0.740 (0.749)	Data 0.002 (0.001)	Loss 1.7446 (1.8019)	Prec@1 51.562 (52.669)	Prec@5 82.812 (82.024)
Epoch: [82][13780/14090]	Time 0.764 (0.749)	Data 0.001 (0.001)	Loss 1.8122 (1.8019)	Prec@1 50.000 (52.671)	Prec@5 78.125 (82.025)
Epoch: [82][13790/14090]	Time 0.719 (0.749)	Data 0.001 (0.001)	Loss 1.8401 (1.8019)	Prec@1 50.000 (52.670)	Prec@5 81.250 (82.025)
Epoch: [82][13800/14090]	Time 0.731 (0.749)	Data 0.001 (0.001)	Loss 1.9129 (1.8019)	Prec@1 53.125 (52.670)	Prec@5 77.344 (82.024)
Epoch: [82][13810/14090]	Time 0.734 (0.749)	Data 0.001 (0.001)	Loss 1.9398 (1.8018)	Prec@1 49.219 (52.670)	Prec@5 82.031 (82.026)
Epoch: [82][13820/14090]	Time 0.749 (0.749)	Data 0.001 (0.001)	Loss 1.6774 (1.8018)	Prec@1 58.594 (52.671)	Prec@5 79.688 (82.026)
Epoch: [82][13830/14090]	Time 0.770 (0.749)	Data 0.001 (0.001)	Loss 1.7967 (1.8018)	Prec@1 53.906 (52.672)	Prec@5 82.812 (82.026)
Epoch: [82][13840/14090]	Time 0.751 (0.749)	Data 0.002 (0.001)	Loss 2.0138 (1.8018)	Prec@1 45.312 (52.672)	Prec@5 79.688 (82.027)
Epoch: [82][13850/14090]	Time 0.737 (0.749)	Data 0.001 (0.001)	Loss 1.6751 (1.8018)	Prec@1 53.125 (52.671)	Prec@5 82.812 (82.026)
Epoch: [82][13860/14090]	Time 0.740 (0.749)	Data 0.001 (0.001)	Loss 1.7281 (1.8019)	Prec@1 53.906 (52.669)	Prec@5 85.156 (82.026)
Epoch: [82][13870/14090]	Time 0.769 (0.749)	Data 0.001 (0.001)	Loss 1.8071 (1.8019)	Prec@1 52.344 (52.669)	Prec@5 82.031 (82.025)
Epoch: [82][13880/14090]	Time 0.734 (0.749)	Data 0.001 (0.001)	Loss 2.0694 (1.8019)	Prec@1 50.781 (52.670)	Prec@5 78.906 (82.025)
Epoch: [82][13890/14090]	Time 0.771 (0.749)	Data 0.001 (0.001)	Loss 1.7025 (1.8019)	Prec@1 53.906 (52.670)	Prec@5 80.469 (82.024)
Epoch: [82][13900/14090]	Time 0.742 (0.749)	Data 0.001 (0.001)	Loss 1.9563 (1.8020)	Prec@1 57.812 (52.670)	Prec@5 79.688 (82.024)
Epoch: [82][13910/14090]	Time 0.761 (0.749)	Data 0.002 (0.001)	Loss 1.7771 (1.8020)	Prec@1 53.125 (52.668)	Prec@5 82.031 (82.024)
Epoch: [82][13920/14090]	Time 0.780 (0.749)	Data 0.001 (0.001)	Loss 1.9311 (1.8020)	Prec@1 48.438 (52.668)	Prec@5 78.125 (82.023)
Epoch: [82][13930/14090]	Time 0.742 (0.749)	Data 0.001 (0.001)	Loss 1.9190 (1.8020)	Prec@1 49.219 (52.668)	Prec@5 80.469 (82.022)
Epoch: [82][13940/14090]	Time 0.727 (0.749)	Data 0.001 (0.001)	Loss 1.9178 (1.8020)	Prec@1 51.562 (52.667)	Prec@5 82.812 (82.021)
Epoch: [82][13950/14090]	Time 0.747 (0.749)	Data 0.001 (0.001)	Loss 1.7657 (1.8020)	Prec@1 53.906 (52.669)	Prec@5 80.469 (82.022)
Epoch: [82][13960/14090]	Time 0.736 (0.749)	Data 0.001 (0.001)	Loss 2.0300 (1.8020)	Prec@1 49.219 (52.669)	Prec@5 78.125 (82.022)
Epoch: [82][13970/14090]	Time 0.742 (0.749)	Data 0.001 (0.001)	Loss 1.9563 (1.8020)	Prec@1 47.656 (52.668)	Prec@5 84.375 (82.022)
Epoch: [82][13980/14090]	Time 0.734 (0.749)	Data 0.002 (0.001)	Loss 2.3343 (1.8021)	Prec@1 45.312 (52.666)	Prec@5 74.219 (82.022)
Epoch: [82][13990/14090]	Time 0.728 (0.749)	Data 0.001 (0.001)	Loss 1.7119 (1.8021)	Prec@1 54.688 (52.666)	Prec@5 87.500 (82.021)
Epoch: [82][14000/14090]	Time 0.759 (0.749)	Data 0.001 (0.001)	Loss 1.7602 (1.8021)	Prec@1 58.594 (52.666)	Prec@5 79.688 (82.020)
Epoch: [82][14010/14090]	Time 0.732 (0.749)	Data 0.001 (0.001)	Loss 1.5783 (1.8020)	Prec@1 56.250 (52.667)	Prec@5 85.938 (82.022)
Epoch: [82][14020/14090]	Time 0.723 (0.749)	Data 0.001 (0.001)	Loss 1.8933 (1.8021)	Prec@1 52.344 (52.666)	Prec@5 81.250 (82.021)
Epoch: [82][14030/14090]	Time 0.730 (0.749)	Data 0.001 (0.001)	Loss 2.0507 (1.8021)	Prec@1 49.219 (52.666)	Prec@5 79.688 (82.021)
Epoch: [82][14040/14090]	Time 0.724 (0.749)	Data 0.001 (0.001)	Loss 1.8490 (1.8022)	Prec@1 54.688 (52.666)	Prec@5 82.031 (82.020)
Epoch: [82][14050/14090]	Time 0.767 (0.749)	Data 0.002 (0.001)	Loss 1.8736 (1.8021)	Prec@1 50.000 (52.667)	Prec@5 80.469 (82.020)
Epoch: [82][14060/14090]	Time 0.751 (0.749)	Data 0.001 (0.001)	Loss 1.8362 (1.8022)	Prec@1 52.344 (52.666)	Prec@5 85.156 (82.019)
Epoch: [82][14070/14090]	Time 0.735 (0.749)	Data 0.001 (0.001)	Loss 1.7740 (1.8021)	Prec@1 54.688 (52.667)	Prec@5 82.031 (82.020)
Epoch: [82][14080/14090]	Time 0.726 (0.749)	Data 0.000 (0.001)	Loss 1.9660 (1.8021)	Prec@1 52.344 (52.668)	Prec@5 78.125 (82.021)
Test: [0/286]	Time 4.209 (4.209)	Loss 1.2393 (1.2393)	Prec@1 60.156 (60.156)	Prec@5 94.531 (94.531)
Test: [10/286]	Time 0.310 (0.734)	Loss 1.7122 (1.7538)	Prec@1 54.688 (54.332)	Prec@5 88.281 (84.801)
Test: [20/286]	Time 0.242 (0.551)	Loss 1.2703 (1.6912)	Prec@1 66.406 (55.171)	Prec@5 93.750 (85.826)
Test: [30/286]	Time 0.222 (0.494)	Loss 1.6960 (1.6113)	Prec@1 60.156 (57.737)	Prec@5 82.031 (86.139)
Test: [40/286]	Time 1.404 (0.487)	Loss 1.6128 (1.6222)	Prec@1 53.906 (57.508)	Prec@5 88.281 (86.300)
Test: [50/286]	Time 0.233 (0.463)	Loss 0.4583 (1.6283)	Prec@1 92.969 (56.786)	Prec@5 95.312 (86.412)
Test: [60/286]	Time 0.294 (0.447)	Loss 2.6772 (1.6764)	Prec@1 37.500 (55.930)	Prec@5 66.406 (85.105)
Test: [70/286]	Time 0.228 (0.438)	Loss 1.0572 (1.6655)	Prec@1 71.094 (56.019)	Prec@5 91.406 (85.255)
Test: [80/286]	Time 1.481 (0.444)	Loss 1.8938 (1.7090)	Prec@1 48.438 (54.726)	Prec@5 82.812 (84.742)
Test: [90/286]	Time 0.266 (0.434)	Loss 1.8323 (1.7156)	Prec@1 48.438 (54.653)	Prec@5 87.500 (84.658)
Test: [100/286]	Time 0.228 (0.427)	Loss 2.3462 (1.7288)	Prec@1 28.125 (54.053)	Prec@5 84.375 (84.607)
Test: [110/286]	Time 0.303 (0.423)	Loss 2.3856 (1.7457)	Prec@1 38.281 (53.597)	Prec@5 72.656 (84.551)
Test: [120/286]	Time 1.407 (0.426)	Loss 1.5305 (1.7364)	Prec@1 60.938 (53.945)	Prec@5 82.031 (84.614)
Test: [130/286]	Time 0.267 (0.422)	Loss 0.8654 (1.7301)	Prec@1 71.094 (54.193)	Prec@5 96.094 (84.679)
Test: [140/286]	Time 0.228 (0.418)	Loss 2.2267 (1.7242)	Prec@1 50.000 (54.388)	Prec@5 73.438 (84.696)
Test: [150/286]	Time 0.239 (0.414)	Loss 2.8164 (1.7387)	Prec@1 24.219 (53.875)	Prec@5 74.219 (84.561)
Test: [160/286]	Time 1.528 (0.419)	Loss 2.6813 (1.7331)	Prec@1 25.781 (53.979)	Prec@5 71.875 (84.642)
Test: [170/286]	Time 0.237 (0.417)	Loss 1.7227 (1.7249)	Prec@1 50.000 (54.176)	Prec@5 83.594 (84.804)
Test: [180/286]	Time 0.227 (0.414)	Loss 1.8528 (1.7327)	Prec@1 59.375 (54.014)	Prec@5 79.688 (84.690)
Test: [190/286]	Time 0.243 (0.411)	Loss 2.9076 (1.7533)	Prec@1 20.312 (53.526)	Prec@5 71.875 (84.490)
Test: [200/286]	Time 1.382 (0.415)	Loss 1.7086 (1.7484)	Prec@1 59.375 (53.654)	Prec@5 86.719 (84.495)
Test: [210/286]	Time 0.343 (0.414)	Loss 1.8533 (1.7546)	Prec@1 53.125 (53.517)	Prec@5 83.594 (84.408)
Test: [220/286]	Time 0.238 (0.411)	Loss 2.6162 (1.7584)	Prec@1 30.469 (53.514)	Prec@5 71.094 (84.308)
Test: [230/286]	Time 0.235 (0.409)	Loss 1.2413 (1.7568)	Prec@1 67.188 (53.544)	Prec@5 89.062 (84.314)
Test: [240/286]	Time 1.229 (0.411)	Loss 1.7655 (1.7557)	Prec@1 55.469 (53.650)	Prec@5 85.938 (84.349)
Test: [250/286]	Time 0.305 (0.410)	Loss 1.7332 (1.7464)	Prec@1 53.906 (53.769)	Prec@5 83.594 (84.543)
Test: [260/286]	Time 0.237 (0.409)	Loss 1.3856 (1.7350)	Prec@1 58.594 (54.047)	Prec@5 91.406 (84.686)
Test: [270/286]	Time 0.235 (0.408)	Loss 1.1327 (1.7334)	Prec@1 70.312 (54.148)	Prec@5 89.844 (84.721)
Test: [280/286]	Time 0.832 (0.409)	Loss 1.4400 (1.7170)	Prec@1 64.062 (54.657)	Prec@5 93.750 (84.906)
 * Prec@1 54.778 Prec@5 84.930
Epoch: [83][0/14090]	Time 5.565 (5.565)	Data 4.799 (4.799)	Loss 1.7498 (1.7498)	Prec@1 55.469 (55.469)	Prec@5 84.375 (84.375)
Epoch: [83][10/14090]	Time 0.759 (1.179)	Data 0.001 (0.437)	Loss 1.6678 (1.8141)	Prec@1 54.688 (53.551)	Prec@5 82.031 (81.960)
Epoch: [83][20/14090]	Time 0.828 (0.977)	Data 0.001 (0.229)	Loss 1.8025 (1.7577)	Prec@1 53.125 (54.390)	Prec@5 82.812 (82.999)
Epoch: [83][30/14090]	Time 0.733 (0.899)	Data 0.001 (0.156)	Loss 1.6858 (1.7755)	Prec@1 54.688 (53.503)	Prec@5 82.812 (82.308)
Epoch: [83][40/14090]	Time 0.751 (0.863)	Data 0.001 (0.118)	Loss 1.6535 (1.7649)	Prec@1 56.250 (53.563)	Prec@5 84.375 (82.736)
Epoch: [83][50/14090]	Time 0.749 (0.844)	Data 0.001 (0.095)	Loss 1.8296 (1.7811)	Prec@1 54.688 (53.339)	Prec@5 78.906 (82.154)
Epoch: [83][60/14090]	Time 0.748 (0.830)	Data 0.001 (0.079)	Loss 1.8221 (1.7790)	Prec@1 51.562 (53.227)	Prec@5 80.469 (82.313)
Epoch: [83][70/14090]	Time 0.764 (0.821)	Data 0.001 (0.068)	Loss 1.8401 (1.7742)	Prec@1 54.688 (53.367)	Prec@5 85.156 (82.427)
Epoch: [83][80/14090]	Time 0.766 (0.813)	Data 0.001 (0.060)	Loss 1.9196 (1.7819)	Prec@1 51.562 (53.164)	Prec@5 78.125 (82.224)
Epoch: [83][90/14090]	Time 0.873 (0.808)	Data 0.001 (0.054)	Loss 1.8995 (1.7829)	Prec@1 53.906 (53.168)	Prec@5 82.031 (82.297)
Epoch: [83][100/14090]	Time 0.736 (0.803)	Data 0.001 (0.048)	Loss 1.7559 (1.7779)	Prec@1 52.344 (53.272)	Prec@5 82.031 (82.240)
Epoch: [83][110/14090]	Time 0.743 (0.799)	Data 0.001 (0.044)	Loss 1.8391 (1.7777)	Prec@1 53.906 (53.195)	Prec@5 81.250 (82.221)
Epoch: [83][120/14090]	Time 0.739 (0.796)	Data 0.001 (0.040)	Loss 2.0501 (1.7812)	Prec@1 46.094 (53.099)	Prec@5 77.344 (82.115)
Epoch: [83][130/14090]	Time 0.755 (0.793)	Data 0.001 (0.037)	Loss 1.8814 (1.7748)	Prec@1 46.875 (53.167)	Prec@5 82.812 (82.323)
Epoch: [83][140/14090]	Time 0.731 (0.791)	Data 0.001 (0.035)	Loss 1.7752 (1.7737)	Prec@1 54.688 (53.114)	Prec@5 80.469 (82.375)
Epoch: [83][150/14090]	Time 0.735 (0.788)	Data 0.001 (0.033)	Loss 2.0015 (1.7738)	Prec@1 48.438 (53.099)	Prec@5 76.562 (82.362)
Epoch: [83][160/14090]	Time 0.864 (0.787)	Data 0.001 (0.031)	Loss 1.9880 (1.7752)	Prec@1 50.781 (53.106)	Prec@5 81.250 (82.327)
Epoch: [83][170/14090]	Time 0.723 (0.785)	Data 0.001 (0.029)	Loss 1.8835 (1.7807)	Prec@1 53.906 (52.997)	Prec@5 82.031 (82.232)
Epoch: [83][180/14090]	Time 0.741 (0.784)	Data 0.001 (0.027)	Loss 2.1227 (1.7839)	Prec@1 41.406 (52.840)	Prec@5 78.125 (82.182)
Epoch: [83][190/14090]	Time 0.724 (0.783)	Data 0.001 (0.026)	Loss 1.9738 (1.7824)	Prec@1 42.969 (52.794)	Prec@5 82.031 (82.248)
Epoch: [83][200/14090]	Time 0.733 (0.781)	Data 0.001 (0.025)	Loss 1.7970 (1.7821)	Prec@1 52.344 (52.896)	Prec@5 82.031 (82.229)
Epoch: [83][210/14090]	Time 0.752 (0.781)	Data 0.001 (0.024)	Loss 1.7956 (1.7860)	Prec@1 53.906 (52.847)	Prec@5 82.031 (82.239)
Epoch: [83][220/14090]	Time 0.756 (0.780)	Data 0.001 (0.022)	Loss 1.6034 (1.7819)	Prec@1 58.594 (53.001)	Prec@5 86.719 (82.303)
Epoch: [83][230/14090]	Time 0.858 (0.779)	Data 0.001 (0.022)	Loss 1.6789 (1.7839)	Prec@1 56.250 (52.956)	Prec@5 83.594 (82.282)
Epoch: [83][240/14090]	Time 0.751 (0.779)	Data 0.001 (0.021)	Loss 2.0053 (1.7848)	Prec@1 51.562 (52.966)	Prec@5 79.688 (82.258)
Epoch: [83][250/14090]	Time 0.754 (0.778)	Data 0.001 (0.020)	Loss 1.7844 (1.7843)	Prec@1 50.000 (53.000)	Prec@5 85.156 (82.283)
Epoch: [83][260/14090]	Time 0.724 (0.777)	Data 0.001 (0.019)	Loss 1.8740 (1.7845)	Prec@1 56.250 (53.011)	Prec@5 80.469 (82.259)
Epoch: [83][270/14090]	Time 0.754 (0.776)	Data 0.001 (0.018)	Loss 1.8828 (1.7862)	Prec@1 54.688 (53.004)	Prec@5 82.031 (82.239)
Epoch: [83][280/14090]	Time 0.734 (0.776)	Data 0.001 (0.018)	Loss 1.8197 (1.7900)	Prec@1 53.906 (52.925)	Prec@5 81.250 (82.187)
Epoch: [83][290/14090]	Time 0.736 (0.776)	Data 0.001 (0.017)	Loss 1.9735 (1.7894)	Prec@1 48.438 (52.937)	Prec@5 80.469 (82.179)
Epoch: [83][300/14090]	Time 0.861 (0.776)	Data 0.001 (0.017)	Loss 1.7187 (1.7870)	Prec@1 48.438 (52.967)	Prec@5 79.688 (82.182)
Epoch: [83][310/14090]	Time 0.725 (0.775)	Data 0.001 (0.016)	Loss 2.0366 (1.7854)	Prec@1 46.875 (53.022)	Prec@5 79.688 (82.205)
Epoch: [83][320/14090]	Time 0.730 (0.774)	Data 0.001 (0.016)	Loss 1.8357 (1.7863)	Prec@1 49.219 (52.981)	Prec@5 82.812 (82.185)
Epoch: [83][330/14090]	Time 0.758 (0.775)	Data 0.001 (0.015)	Loss 1.9063 (1.7869)	Prec@1 52.344 (52.936)	Prec@5 82.031 (82.166)
Epoch: [83][340/14090]	Time 0.737 (0.774)	Data 0.001 (0.015)	Loss 1.7715 (1.7849)	Prec@1 55.469 (52.955)	Prec@5 83.594 (82.231)
Epoch: [83][350/14090]	Time 0.764 (0.774)	Data 0.001 (0.014)	Loss 1.8297 (1.7832)	Prec@1 50.781 (53.014)	Prec@5 76.562 (82.245)
Epoch: [83][360/14090]	Time 0.737 (0.774)	Data 0.001 (0.014)	Loss 2.0848 (1.7833)	Prec@1 49.219 (53.038)	Prec@5 77.344 (82.258)
Epoch: [83][370/14090]	Time 0.855 (0.774)	Data 0.001 (0.014)	Loss 1.8133 (1.7823)	Prec@1 50.781 (52.994)	Prec@5 81.250 (82.297)
Epoch: [83][380/14090]	Time 0.752 (0.773)	Data 0.001 (0.013)	Loss 1.6743 (1.7812)	Prec@1 57.812 (53.037)	Prec@5 80.469 (82.318)
Epoch: [83][390/14090]	Time 0.745 (0.773)	Data 0.001 (0.013)	Loss 1.8254 (1.7812)	Prec@1 53.906 (53.053)	Prec@5 83.594 (82.325)
Epoch: [83][400/14090]	Time 0.733 (0.773)	Data 0.001 (0.013)	Loss 1.6077 (1.7804)	Prec@1 60.156 (53.139)	Prec@5 82.031 (82.302)
Epoch: [83][410/14090]	Time 0.733 (0.773)	Data 0.001 (0.012)	Loss 2.2698 (1.7795)	Prec@1 47.656 (53.190)	Prec@5 76.562 (82.322)
Epoch: [83][420/14090]	Time 0.767 (0.773)	Data 0.001 (0.012)	Loss 1.5964 (1.7780)	Prec@1 53.906 (53.214)	Prec@5 89.062 (82.367)
Epoch: [83][430/14090]	Time 0.740 (0.773)	Data 0.001 (0.012)	Loss 1.8501 (1.7781)	Prec@1 52.344 (53.210)	Prec@5 84.375 (82.419)
Epoch: [83][440/14090]	Time 0.918 (0.773)	Data 0.001 (0.012)	Loss 1.4984 (1.7766)	Prec@1 56.250 (53.258)	Prec@5 88.281 (82.428)
Epoch: [83][450/14090]	Time 0.731 (0.773)	Data 0.001 (0.011)	Loss 1.9698 (1.7786)	Prec@1 51.562 (53.205)	Prec@5 77.344 (82.385)
Epoch: [83][460/14090]	Time 0.736 (0.773)	Data 0.001 (0.011)	Loss 1.7152 (1.7797)	Prec@1 56.250 (53.181)	Prec@5 83.594 (82.358)
Epoch: [83][470/14090]	Time 0.732 (0.773)	Data 0.001 (0.011)	Loss 1.5719 (1.7802)	Prec@1 64.062 (53.210)	Prec@5 85.938 (82.340)
Epoch: [83][480/14090]	Time 0.733 (0.773)	Data 0.001 (0.011)	Loss 1.5526 (1.7808)	Prec@1 57.031 (53.180)	Prec@5 86.719 (82.320)
Epoch: [83][490/14090]	Time 0.767 (0.773)	Data 0.001 (0.011)	Loss 1.7848 (1.7804)	Prec@1 50.781 (53.178)	Prec@5 82.812 (82.318)
Epoch: [83][500/14090]	Time 0.759 (0.772)	Data 0.001 (0.010)	Loss 1.6995 (1.7784)	Prec@1 49.219 (53.195)	Prec@5 88.281 (82.363)
Epoch: [83][510/14090]	Time 0.890 (0.773)	Data 0.001 (0.010)	Loss 1.5280 (1.7786)	Prec@1 57.031 (53.198)	Prec@5 85.938 (82.368)
Epoch: [83][520/14090]	Time 0.733 (0.773)	Data 0.001 (0.010)	Loss 1.9814 (1.7793)	Prec@1 51.562 (53.156)	Prec@5 81.250 (82.381)
Epoch: [83][530/14090]	Time 0.782 (0.772)	Data 0.001 (0.010)	Loss 1.8691 (1.7791)	Prec@1 50.000 (53.168)	Prec@5 76.562 (82.358)
Epoch: [83][540/14090]	Time 0.780 (0.773)	Data 0.001 (0.010)	Loss 1.9305 (1.7799)	Prec@1 46.875 (53.161)	Prec@5 84.375 (82.350)
Epoch: [83][550/14090]	Time 0.729 (0.772)	Data 0.001 (0.010)	Loss 1.7500 (1.7798)	Prec@1 48.438 (53.138)	Prec@5 83.594 (82.360)
Epoch: [83][560/14090]	Time 0.735 (0.773)	Data 0.001 (0.009)	Loss 1.9229 (1.7792)	Prec@1 43.750 (53.128)	Prec@5 84.375 (82.377)
Epoch: [83][570/14090]	Time 0.742 (0.772)	Data 0.001 (0.009)	Loss 1.6223 (1.7786)	Prec@1 55.469 (53.135)	Prec@5 84.375 (82.401)
Epoch: [83][580/14090]	Time 0.881 (0.772)	Data 0.001 (0.009)	Loss 1.6801 (1.7772)	Prec@1 50.781 (53.164)	Prec@5 82.812 (82.397)
Epoch: [83][590/14090]	Time 0.740 (0.772)	Data 0.001 (0.009)	Loss 1.8574 (1.7766)	Prec@1 53.125 (53.151)	Prec@5 81.250 (82.432)
Epoch: [83][600/14090]	Time 0.735 (0.772)	Data 0.001 (0.009)	Loss 1.6880 (1.7765)	Prec@1 56.250 (53.148)	Prec@5 83.594 (82.437)
Epoch: [83][610/14090]	Time 0.731 (0.772)	Data 0.001 (0.009)	Loss 1.6789 (1.7774)	Prec@1 56.250 (53.121)	Prec@5 82.812 (82.420)
Epoch: [83][620/14090]	Time 0.752 (0.772)	Data 0.001 (0.009)	Loss 1.5793 (1.7752)	Prec@1 55.469 (53.154)	Prec@5 86.719 (82.462)
Epoch: [83][630/14090]	Time 0.757 (0.772)	Data 0.001 (0.008)	Loss 1.8926 (1.7736)	Prec@1 57.812 (53.208)	Prec@5 79.688 (82.491)
Epoch: [83][640/14090]	Time 0.758 (0.772)	Data 0.001 (0.008)	Loss 1.7815 (1.7736)	Prec@1 53.125 (53.202)	Prec@5 86.719 (82.510)
Epoch: [83][650/14090]	Time 0.873 (0.772)	Data 0.001 (0.008)	Loss 1.7654 (1.7731)	Prec@1 50.781 (53.220)	Prec@5 81.250 (82.498)
Epoch: [83][660/14090]	Time 0.754 (0.772)	Data 0.001 (0.008)	Loss 1.7272 (1.7726)	Prec@1 53.125 (53.234)	Prec@5 85.938 (82.526)
Epoch: [83][670/14090]	Time 0.746 (0.772)	Data 0.001 (0.008)	Loss 1.6649 (1.7739)	Prec@1 57.031 (53.201)	Prec@5 83.594 (82.510)
Epoch: [83][680/14090]	Time 0.742 (0.771)	Data 0.001 (0.008)	Loss 1.6332 (1.7739)	Prec@1 64.844 (53.228)	Prec@5 89.062 (82.519)
Epoch: [83][690/14090]	Time 0.743 (0.771)	Data 0.001 (0.008)	Loss 1.6288 (1.7738)	Prec@1 60.938 (53.229)	Prec@5 84.375 (82.530)
Epoch: [83][700/14090]	Time 0.728 (0.771)	Data 0.000 (0.008)	Loss 1.9686 (1.7748)	Prec@1 50.000 (53.219)	Prec@5 78.125 (82.502)
Epoch: [83][710/14090]	Time 0.748 (0.771)	Data 0.001 (0.008)	Loss 1.9731 (1.7752)	Prec@1 45.312 (53.215)	Prec@5 78.906 (82.480)
Epoch: [83][720/14090]	Time 0.882 (0.771)	Data 0.001 (0.007)	Loss 1.6354 (1.7743)	Prec@1 52.344 (53.223)	Prec@5 85.938 (82.503)
Epoch: [83][730/14090]	Time 0.766 (0.771)	Data 0.001 (0.007)	Loss 1.7159 (1.7734)	Prec@1 53.906 (53.241)	Prec@5 81.250 (82.504)
Epoch: [83][740/14090]	Time 0.760 (0.771)	Data 0.001 (0.007)	Loss 1.6573 (1.7734)	Prec@1 50.781 (53.254)	Prec@5 86.719 (82.501)
Epoch: [83][750/14090]	Time 0.735 (0.771)	Data 0.001 (0.007)	Loss 1.9205 (1.7738)	Prec@1 46.875 (53.256)	Prec@5 79.688 (82.501)
Epoch: [83][760/14090]	Time 0.756 (0.771)	Data 0.001 (0.007)	Loss 1.6191 (1.7734)	Prec@1 53.125 (53.267)	Prec@5 85.156 (82.520)
Epoch: [83][770/14090]	Time 0.761 (0.771)	Data 0.001 (0.007)	Loss 1.7511 (1.7728)	Prec@1 56.250 (53.284)	Prec@5 81.250 (82.520)
Epoch: [83][780/14090]	Time 0.751 (0.771)	Data 0.001 (0.007)	Loss 1.7181 (1.7738)	Prec@1 54.688 (53.250)	Prec@5 85.156 (82.502)
Epoch: [83][790/14090]	Time 0.929 (0.771)	Data 0.001 (0.007)	Loss 1.5182 (1.7736)	Prec@1 61.719 (53.256)	Prec@5 86.719 (82.514)
Epoch: [83][800/14090]	Time 0.736 (0.771)	Data 0.001 (0.007)	Loss 1.7327 (1.7743)	Prec@1 55.469 (53.259)	Prec@5 85.938 (82.506)
Epoch: [83][810/14090]	Time 0.730 (0.771)	Data 0.001 (0.007)	Loss 1.6634 (1.7738)	Prec@1 47.656 (53.247)	Prec@5 87.500 (82.525)
Epoch: [83][820/14090]	Time 0.741 (0.771)	Data 0.001 (0.007)	Loss 1.6850 (1.7740)	Prec@1 53.906 (53.256)	Prec@5 83.594 (82.505)
Epoch: [83][830/14090]	Time 0.747 (0.771)	Data 0.001 (0.007)	Loss 1.6582 (1.7744)	Prec@1 57.812 (53.226)	Prec@5 83.594 (82.508)
Epoch: [83][840/14090]	Time 0.733 (0.771)	Data 0.001 (0.007)	Loss 1.9285 (1.7750)	Prec@1 50.000 (53.215)	Prec@5 78.906 (82.488)
Epoch: [83][850/14090]	Time 0.777 (0.771)	Data 0.001 (0.006)	Loss 1.5426 (1.7749)	Prec@1 60.156 (53.216)	Prec@5 89.844 (82.508)
Epoch: [83][860/14090]	Time 0.868 (0.771)	Data 0.001 (0.006)	Loss 1.8512 (1.7752)	Prec@1 51.562 (53.217)	Prec@5 80.469 (82.507)
Epoch: [83][870/14090]	Time 0.758 (0.771)	Data 0.001 (0.006)	Loss 1.8781 (1.7756)	Prec@1 55.469 (53.216)	Prec@5 80.469 (82.498)
Epoch: [83][880/14090]	Time 0.748 (0.771)	Data 0.001 (0.006)	Loss 1.6335 (1.7751)	Prec@1 55.469 (53.223)	Prec@5 85.938 (82.506)
Epoch: [83][890/14090]	Time 0.782 (0.771)	Data 0.001 (0.006)	Loss 1.6254 (1.7742)	Prec@1 59.375 (53.232)	Prec@5 85.938 (82.531)
Epoch: [83][900/14090]	Time 0.724 (0.771)	Data 0.001 (0.006)	Loss 1.9995 (1.7746)	Prec@1 46.094 (53.217)	Prec@5 79.688 (82.535)
Epoch: [83][910/14090]	Time 0.767 (0.771)	Data 0.001 (0.006)	Loss 1.6032 (1.7744)	Prec@1 54.688 (53.236)	Prec@5 85.156 (82.525)
Epoch: [83][920/14090]	Time 0.760 (0.770)	Data 0.001 (0.006)	Loss 1.6842 (1.7741)	Prec@1 59.375 (53.256)	Prec@5 82.812 (82.528)
Epoch: [83][930/14090]	Time 0.884 (0.770)	Data 0.001 (0.006)	Loss 1.7083 (1.7745)	Prec@1 52.344 (53.250)	Prec@5 84.375 (82.526)
Epoch: [83][940/14090]	Time 0.742 (0.770)	Data 0.001 (0.006)	Loss 1.6600 (1.7750)	Prec@1 57.031 (53.245)	Prec@5 85.156 (82.523)
Epoch: [83][950/14090]	Time 0.749 (0.770)	Data 0.001 (0.006)	Loss 1.8216 (1.7752)	Prec@1 52.344 (53.237)	Prec@5 85.938 (82.527)
Epoch: [83][960/14090]	Time 0.771 (0.770)	Data 0.001 (0.006)	Loss 1.8403 (1.7747)	Prec@1 53.125 (53.227)	Prec@5 84.375 (82.547)
Epoch: [83][970/14090]	Time 0.777 (0.770)	Data 0.001 (0.006)	Loss 1.8197 (1.7745)	Prec@1 53.906 (53.221)	Prec@5 83.594 (82.541)
Epoch: [83][980/14090]	Time 0.750 (0.770)	Data 0.001 (0.006)	Loss 1.6308 (1.7748)	Prec@1 60.938 (53.217)	Prec@5 85.156 (82.532)
Epoch: [83][990/14090]	Time 0.760 (0.770)	Data 0.001 (0.006)	Loss 2.0124 (1.7753)	Prec@1 50.781 (53.230)	Prec@5 79.688 (82.518)
Epoch: [83][1000/14090]	Time 0.883 (0.770)	Data 0.001 (0.006)	Loss 1.9984 (1.7753)	Prec@1 49.219 (53.232)	Prec@5 81.250 (82.521)
Epoch: [83][1010/14090]	Time 0.743 (0.770)	Data 0.001 (0.006)	Loss 2.0851 (1.7754)	Prec@1 40.625 (53.219)	Prec@5 78.906 (82.529)
Epoch: [83][1020/14090]	Time 0.729 (0.770)	Data 0.001 (0.006)	Loss 1.7548 (1.7751)	Prec@1 57.812 (53.224)	Prec@5 82.031 (82.532)
Epoch: [83][1030/14090]	Time 0.738 (0.770)	Data 0.001 (0.006)	Loss 1.9250 (1.7759)	Prec@1 48.438 (53.202)	Prec@5 80.469 (82.520)
Epoch: [83][1040/14090]	Time 0.755 (0.770)	Data 0.001 (0.005)	Loss 1.5532 (1.7753)	Prec@1 56.250 (53.216)	Prec@5 84.375 (82.526)
Epoch: [83][1050/14090]	Time 0.749 (0.770)	Data 0.001 (0.005)	Loss 1.6127 (1.7758)	Prec@1 55.469 (53.216)	Prec@5 85.938 (82.501)
Epoch: [83][1060/14090]	Time 0.762 (0.770)	Data 0.001 (0.005)	Loss 1.7817 (1.7762)	Prec@1 53.906 (53.205)	Prec@5 82.812 (82.499)
Epoch: [83][1070/14090]	Time 0.854 (0.770)	Data 0.001 (0.005)	Loss 1.6104 (1.7763)	Prec@1 55.469 (53.202)	Prec@5 84.375 (82.482)
Epoch: [83][1080/14090]	Time 0.723 (0.770)	Data 0.001 (0.005)	Loss 1.6799 (1.7768)	Prec@1 53.906 (53.179)	Prec@5 85.938 (82.477)
Epoch: [83][1090/14090]	Time 0.728 (0.770)	Data 0.001 (0.005)	Loss 2.0834 (1.7769)	Prec@1 50.781 (53.179)	Prec@5 76.562 (82.473)
Epoch: [83][1100/14090]	Time 0.753 (0.770)	Data 0.001 (0.005)	Loss 2.0059 (1.7767)	Prec@1 42.969 (53.170)	Prec@5 78.906 (82.482)
Epoch: [83][1110/14090]	Time 0.775 (0.770)	Data 0.001 (0.005)	Loss 1.9655 (1.7763)	Prec@1 50.781 (53.184)	Prec@5 81.250 (82.491)
Epoch: [83][1120/14090]	Time 0.722 (0.770)	Data 0.001 (0.005)	Loss 1.8084 (1.7762)	Prec@1 48.438 (53.185)	Prec@5 80.469 (82.490)
Epoch: [83][1130/14090]	Time 0.773 (0.770)	Data 0.001 (0.005)	Loss 1.8856 (1.7767)	Prec@1 49.219 (53.181)	Prec@5 78.906 (82.475)
Epoch: [83][1140/14090]	Time 0.849 (0.770)	Data 0.001 (0.005)	Loss 2.0850 (1.7777)	Prec@1 51.562 (53.164)	Prec@5 80.469 (82.454)
Epoch: [83][1150/14090]	Time 0.733 (0.770)	Data 0.001 (0.005)	Loss 1.7796 (1.7775)	Prec@1 61.719 (53.178)	Prec@5 78.906 (82.457)
Epoch: [83][1160/14090]	Time 0.737 (0.770)	Data 0.001 (0.005)	Loss 1.8669 (1.7777)	Prec@1 55.469 (53.181)	Prec@5 78.125 (82.458)
Epoch: [83][1170/14090]	Time 0.780 (0.770)	Data 0.001 (0.005)	Loss 1.7405 (1.7777)	Prec@1 53.125 (53.180)	Prec@5 85.156 (82.460)
Epoch: [83][1180/14090]	Time 0.724 (0.770)	Data 0.001 (0.005)	Loss 1.6027 (1.7772)	Prec@1 56.250 (53.182)	Prec@5 81.250 (82.457)
Epoch: [83][1190/14090]	Time 0.765 (0.770)	Data 0.001 (0.005)	Loss 1.7573 (1.7769)	Prec@1 54.688 (53.181)	Prec@5 82.812 (82.458)
Epoch: [83][1200/14090]	Time 0.765 (0.770)	Data 0.001 (0.005)	Loss 1.6578 (1.7771)	Prec@1 53.906 (53.183)	Prec@5 88.281 (82.451)
Epoch: [83][1210/14090]	Time 0.883 (0.770)	Data 0.001 (0.005)	Loss 1.7224 (1.7771)	Prec@1 53.125 (53.178)	Prec@5 87.500 (82.454)
Epoch: [83][1220/14090]	Time 0.733 (0.770)	Data 0.001 (0.005)	Loss 1.5836 (1.7764)	Prec@1 57.031 (53.195)	Prec@5 83.594 (82.466)
Epoch: [83][1230/14090]	Time 0.732 (0.769)	Data 0.001 (0.005)	Loss 1.6640 (1.7774)	Prec@1 54.688 (53.168)	Prec@5 85.156 (82.444)
Epoch: [83][1240/14090]	Time 0.731 (0.770)	Data 0.001 (0.005)	Loss 1.8091 (1.7778)	Prec@1 49.219 (53.148)	Prec@5 81.250 (82.437)
Epoch: [83][1250/14090]	Time 0.732 (0.769)	Data 0.001 (0.005)	Loss 1.6919 (1.7783)	Prec@1 54.688 (53.137)	Prec@5 83.594 (82.427)
Epoch: [83][1260/14090]	Time 0.782 (0.770)	Data 0.001 (0.005)	Loss 1.8140 (1.7789)	Prec@1 49.219 (53.126)	Prec@5 80.469 (82.405)
Epoch: [83][1270/14090]	Time 0.771 (0.770)	Data 0.001 (0.005)	Loss 1.5964 (1.7789)	Prec@1 62.500 (53.137)	Prec@5 85.156 (82.404)
Epoch: [83][1280/14090]	Time 0.845 (0.769)	Data 0.001 (0.005)	Loss 1.8707 (1.7786)	Prec@1 47.656 (53.137)	Prec@5 81.250 (82.406)
Epoch: [83][1290/14090]	Time 0.737 (0.769)	Data 0.001 (0.005)	Loss 2.0299 (1.7786)	Prec@1 42.969 (53.140)	Prec@5 77.344 (82.412)
Epoch: [83][1300/14090]	Time 0.741 (0.769)	Data 0.001 (0.005)	Loss 1.3437 (1.7779)	Prec@1 62.500 (53.158)	Prec@5 91.406 (82.427)
Epoch: [83][1310/14090]	Time 0.749 (0.769)	Data 0.001 (0.005)	Loss 1.8282 (1.7778)	Prec@1 49.219 (53.167)	Prec@5 83.594 (82.424)
Epoch: [83][1320/14090]	Time 0.724 (0.769)	Data 0.001 (0.004)	Loss 1.8323 (1.7777)	Prec@1 46.875 (53.159)	Prec@5 83.594 (82.421)
Epoch: [83][1330/14090]	Time 0.746 (0.769)	Data 0.001 (0.004)	Loss 1.9065 (1.7776)	Prec@1 52.344 (53.174)	Prec@5 80.469 (82.430)
Epoch: [83][1340/14090]	Time 0.767 (0.769)	Data 0.001 (0.004)	Loss 1.7880 (1.7782)	Prec@1 53.906 (53.155)	Prec@5 80.469 (82.417)
Epoch: [83][1350/14090]	Time 0.857 (0.769)	Data 0.001 (0.004)	Loss 1.5039 (1.7780)	Prec@1 57.812 (53.164)	Prec@5 85.156 (82.430)
Epoch: [83][1360/14090]	Time 0.758 (0.769)	Data 0.001 (0.004)	Loss 1.6963 (1.7784)	Prec@1 53.125 (53.158)	Prec@5 84.375 (82.420)
Epoch: [83][1370/14090]	Time 0.780 (0.769)	Data 0.001 (0.004)	Loss 1.8201 (1.7787)	Prec@1 53.906 (53.146)	Prec@5 81.250 (82.415)
Epoch: [83][1380/14090]	Time 0.756 (0.769)	Data 0.001 (0.004)	Loss 1.6224 (1.7786)	Prec@1 57.812 (53.144)	Prec@5 86.719 (82.418)
Epoch: [83][1390/14090]	Time 0.729 (0.769)	Data 0.001 (0.004)	Loss 1.9054 (1.7787)	Prec@1 49.219 (53.139)	Prec@5 75.781 (82.419)
Epoch: [83][1400/14090]	Time 0.756 (0.769)	Data 0.001 (0.004)	Loss 1.9484 (1.7789)	Prec@1 50.000 (53.142)	Prec@5 74.219 (82.407)
Epoch: [83][1410/14090]	Time 0.750 (0.769)	Data 0.001 (0.004)	Loss 1.7642 (1.7797)	Prec@1 51.562 (53.124)	Prec@5 81.250 (82.396)
Epoch: [83][1420/14090]	Time 0.865 (0.769)	Data 0.001 (0.004)	Loss 1.5266 (1.7798)	Prec@1 63.281 (53.130)	Prec@5 84.375 (82.394)
Epoch: [83][1430/14090]	Time 0.738 (0.769)	Data 0.001 (0.004)	Loss 1.9313 (1.7797)	Prec@1 54.688 (53.128)	Prec@5 75.781 (82.388)
Epoch: [83][1440/14090]	Time 0.757 (0.769)	Data 0.001 (0.004)	Loss 1.7159 (1.7797)	Prec@1 54.688 (53.130)	Prec@5 82.031 (82.389)
Epoch: [83][1450/14090]	Time 0.763 (0.769)	Data 0.001 (0.004)	Loss 1.7989 (1.7794)	Prec@1 50.000 (53.147)	Prec@5 82.812 (82.394)
Epoch: [83][1460/14090]	Time 0.752 (0.769)	Data 0.001 (0.004)	Loss 1.9262 (1.7797)	Prec@1 52.344 (53.147)	Prec@5 81.250 (82.394)
Epoch: [83][1470/14090]	Time 0.765 (0.769)	Data 0.001 (0.004)	Loss 2.1996 (1.7799)	Prec@1 42.188 (53.142)	Prec@5 71.875 (82.392)
Epoch: [83][1480/14090]	Time 0.765 (0.769)	Data 0.001 (0.004)	Loss 1.5958 (1.7795)	Prec@1 60.156 (53.149)	Prec@5 83.594 (82.405)
Epoch: [83][1490/14090]	Time 0.831 (0.769)	Data 0.001 (0.004)	Loss 1.8735 (1.7793)	Prec@1 50.781 (53.147)	Prec@5 81.250 (82.410)
Epoch: [83][1500/14090]	Time 0.728 (0.769)	Data 0.001 (0.004)	Loss 1.9220 (1.7791)	Prec@1 53.125 (53.153)	Prec@5 80.469 (82.405)
Epoch: [83][1510/14090]	Time 0.751 (0.769)	Data 0.001 (0.004)	Loss 1.5684 (1.7784)	Prec@1 54.688 (53.164)	Prec@5 85.156 (82.422)
Epoch: [83][1520/14090]	Time 0.760 (0.769)	Data 0.001 (0.004)	Loss 1.8226 (1.7786)	Prec@1 50.000 (53.164)	Prec@5 79.688 (82.422)
Epoch: [83][1530/14090]	Time 0.730 (0.769)	Data 0.001 (0.004)	Loss 2.1337 (1.7788)	Prec@1 47.656 (53.155)	Prec@5 77.344 (82.416)
Epoch: [83][1540/14090]	Time 0.755 (0.769)	Data 0.001 (0.004)	Loss 1.9472 (1.7787)	Prec@1 54.688 (53.156)	Prec@5 77.344 (82.414)
Epoch: [83][1550/14090]	Time 0.745 (0.769)	Data 0.001 (0.004)	Loss 1.8683 (1.7794)	Prec@1 49.219 (53.139)	Prec@5 79.688 (82.397)
Epoch: [83][1560/14090]	Time 0.858 (0.769)	Data 0.001 (0.004)	Loss 1.6021 (1.7796)	Prec@1 58.594 (53.130)	Prec@5 81.250 (82.391)
Epoch: [83][1570/14090]	Time 0.744 (0.769)	Data 0.001 (0.004)	Loss 1.5576 (1.7799)	Prec@1 53.125 (53.126)	Prec@5 90.625 (82.394)
Epoch: [83][1580/14090]	Time 0.738 (0.769)	Data 0.001 (0.004)	Loss 1.6871 (1.7796)	Prec@1 53.125 (53.130)	Prec@5 85.156 (82.398)
Epoch: [83][1590/14090]	Time 0.756 (0.769)	Data 0.001 (0.004)	Loss 1.8236 (1.7801)	Prec@1 49.219 (53.123)	Prec@5 81.250 (82.396)
Epoch: [83][1600/14090]	Time 0.740 (0.769)	Data 0.001 (0.004)	Loss 1.8786 (1.7801)	Prec@1 48.438 (53.122)	Prec@5 82.812 (82.394)
Epoch: [83][1610/14090]	Time 0.756 (0.769)	Data 0.001 (0.004)	Loss 1.8237 (1.7795)	Prec@1 50.000 (53.131)	Prec@5 81.250 (82.403)
Epoch: [83][1620/14090]	Time 0.751 (0.769)	Data 0.001 (0.004)	Loss 2.1164 (1.7796)	Prec@1 45.312 (53.126)	Prec@5 80.469 (82.402)
Epoch: [83][1630/14090]	Time 0.874 (0.769)	Data 0.001 (0.004)	Loss 1.7728 (1.7797)	Prec@1 54.688 (53.126)	Prec@5 81.250 (82.400)
Epoch: [83][1640/14090]	Time 0.734 (0.769)	Data 0.001 (0.004)	Loss 1.8123 (1.7802)	Prec@1 53.906 (53.112)	Prec@5 78.906 (82.392)
Epoch: [83][1650/14090]	Time 0.744 (0.769)	Data 0.001 (0.004)	Loss 1.7499 (1.7802)	Prec@1 53.906 (53.110)	Prec@5 83.594 (82.391)
Epoch: [83][1660/14090]	Time 0.747 (0.769)	Data 0.001 (0.004)	Loss 2.0550 (1.7804)	Prec@1 50.781 (53.102)	Prec@5 82.031 (82.392)
Epoch: [83][1670/14090]	Time 0.781 (0.769)	Data 0.001 (0.004)	Loss 2.0732 (1.7812)	Prec@1 46.094 (53.087)	Prec@5 77.344 (82.376)
Epoch: [83][1680/14090]	Time 0.760 (0.769)	Data 0.001 (0.004)	Loss 1.6213 (1.7810)	Prec@1 61.719 (53.092)	Prec@5 82.812 (82.379)
Epoch: [83][1690/14090]	Time 0.757 (0.769)	Data 0.002 (0.004)	Loss 1.9713 (1.7808)	Prec@1 48.438 (53.096)	Prec@5 82.812 (82.386)
Epoch: [83][1700/14090]	Time 0.849 (0.769)	Data 0.001 (0.004)	Loss 1.9347 (1.7804)	Prec@1 50.000 (53.102)	Prec@5 77.344 (82.387)
Epoch: [83][1710/14090]	Time 0.720 (0.769)	Data 0.001 (0.004)	Loss 2.0339 (1.7808)	Prec@1 51.562 (53.092)	Prec@5 79.688 (82.385)
Epoch: [83][1720/14090]	Time 0.744 (0.769)	Data 0.001 (0.004)	Loss 1.6516 (1.7805)	Prec@1 60.156 (53.096)	Prec@5 84.375 (82.393)
Epoch: [83][1730/14090]	Time 0.736 (0.769)	Data 0.001 (0.004)	Loss 1.9792 (1.7806)	Prec@1 44.531 (53.090)	Prec@5 80.469 (82.389)
Epoch: [83][1740/14090]	Time 0.769 (0.769)	Data 0.001 (0.004)	Loss 1.7851 (1.7806)	Prec@1 52.344 (53.094)	Prec@5 82.031 (82.387)
Epoch: [83][1750/14090]	Time 0.757 (0.769)	Data 0.001 (0.004)	Loss 1.7740 (1.7809)	Prec@1 53.906 (53.088)	Prec@5 81.250 (82.386)
Epoch: [83][1760/14090]	Time 0.786 (0.769)	Data 0.001 (0.004)	Loss 1.9339 (1.7808)	Prec@1 50.781 (53.087)	Prec@5 82.812 (82.387)
Epoch: [83][1770/14090]	Time 0.870 (0.769)	Data 0.001 (0.004)	Loss 1.8744 (1.7812)	Prec@1 49.219 (53.074)	Prec@5 82.031 (82.386)
Epoch: [83][1780/14090]	Time 0.767 (0.769)	Data 0.001 (0.004)	Loss 2.0140 (1.7812)	Prec@1 46.094 (53.069)	Prec@5 80.469 (82.389)
Epoch: [83][1790/14090]	Time 0.758 (0.769)	Data 0.001 (0.004)	Loss 1.7047 (1.7812)	Prec@1 53.125 (53.077)	Prec@5 82.812 (82.389)
Epoch: [83][1800/14090]	Time 0.736 (0.769)	Data 0.001 (0.004)	Loss 1.9632 (1.7812)	Prec@1 53.125 (53.076)	Prec@5 78.125 (82.388)
Epoch: [83][1810/14090]	Time 0.754 (0.769)	Data 0.001 (0.004)	Loss 1.8182 (1.7812)	Prec@1 53.125 (53.086)	Prec@5 81.250 (82.393)
Epoch: [83][1820/14090]	Time 0.759 (0.769)	Data 0.001 (0.003)	Loss 1.5600 (1.7815)	Prec@1 57.031 (53.079)	Prec@5 86.719 (82.385)
Epoch: [83][1830/14090]	Time 0.782 (0.769)	Data 0.001 (0.003)	Loss 1.7456 (1.7818)	Prec@1 54.688 (53.069)	Prec@5 82.031 (82.377)
Epoch: [83][1840/14090]	Time 0.868 (0.769)	Data 0.001 (0.003)	Loss 1.7827 (1.7821)	Prec@1 54.688 (53.055)	Prec@5 79.688 (82.368)
Epoch: [83][1850/14090]	Time 0.784 (0.769)	Data 0.001 (0.003)	Loss 1.8987 (1.7822)	Prec@1 51.562 (53.052)	Prec@5 78.906 (82.366)
Epoch: [83][1860/14090]	Time 0.782 (0.769)	Data 0.001 (0.003)	Loss 1.7416 (1.7822)	Prec@1 46.094 (53.051)	Prec@5 86.719 (82.363)
Epoch: [83][1870/14090]	Time 0.756 (0.769)	Data 0.001 (0.003)	Loss 1.6968 (1.7821)	Prec@1 56.250 (53.050)	Prec@5 88.281 (82.375)
Epoch: [83][1880/14090]	Time 0.746 (0.769)	Data 0.001 (0.003)	Loss 1.5812 (1.7818)	Prec@1 56.250 (53.053)	Prec@5 85.156 (82.378)
Epoch: [83][1890/14090]	Time 0.760 (0.769)	Data 0.001 (0.003)	Loss 1.9888 (1.7818)	Prec@1 50.000 (53.043)	Prec@5 78.125 (82.381)
Epoch: [83][1900/14090]	Time 0.745 (0.769)	Data 0.001 (0.003)	Loss 1.6031 (1.7817)	Prec@1 60.156 (53.042)	Prec@5 86.719 (82.384)
Epoch: [83][1910/14090]	Time 0.900 (0.769)	Data 0.001 (0.003)	Loss 1.7311 (1.7819)	Prec@1 53.125 (53.035)	Prec@5 84.375 (82.379)
Epoch: [83][1920/14090]	Time 0.754 (0.769)	Data 0.001 (0.003)	Loss 1.6243 (1.7815)	Prec@1 56.250 (53.040)	Prec@5 80.469 (82.388)
Epoch: [83][1930/14090]	Time 0.727 (0.769)	Data 0.001 (0.003)	Loss 1.5756 (1.7811)	Prec@1 58.594 (53.046)	Prec@5 85.156 (82.393)
Epoch: [83][1940/14090]	Time 0.746 (0.769)	Data 0.001 (0.003)	Loss 1.4579 (1.7807)	Prec@1 58.594 (53.064)	Prec@5 84.375 (82.398)
Epoch: [83][1950/14090]	Time 0.737 (0.769)	Data 0.001 (0.003)	Loss 1.7114 (1.7809)	Prec@1 51.562 (53.059)	Prec@5 85.156 (82.396)
Epoch: [83][1960/14090]	Time 0.727 (0.769)	Data 0.001 (0.003)	Loss 1.8915 (1.7812)	Prec@1 49.219 (53.052)	Prec@5 81.250 (82.387)
Epoch: [83][1970/14090]	Time 0.781 (0.769)	Data 0.001 (0.003)	Loss 2.0422 (1.7809)	Prec@1 48.438 (53.050)	Prec@5 75.781 (82.392)
Epoch: [83][1980/14090]	Time 0.853 (0.769)	Data 0.001 (0.003)	Loss 1.8380 (1.7811)	Prec@1 53.125 (53.045)	Prec@5 80.469 (82.389)
Epoch: [83][1990/14090]	Time 0.749 (0.769)	Data 0.001 (0.003)	Loss 1.8717 (1.7813)	Prec@1 55.469 (53.045)	Prec@5 84.375 (82.395)
Epoch: [83][2000/14090]	Time 0.760 (0.769)	Data 0.001 (0.003)	Loss 1.6263 (1.7815)	Prec@1 56.250 (53.044)	Prec@5 85.156 (82.387)
Epoch: [83][2010/14090]	Time 0.779 (0.769)	Data 0.001 (0.003)	Loss 1.5079 (1.7817)	Prec@1 57.812 (53.041)	Prec@5 89.844 (82.384)
Epoch: [83][2020/14090]	Time 0.741 (0.769)	Data 0.001 (0.003)	Loss 1.9219 (1.7820)	Prec@1 53.125 (53.035)	Prec@5 78.906 (82.379)
Epoch: [83][2030/14090]	Time 0.756 (0.769)	Data 0.001 (0.003)	Loss 1.8291 (1.7821)	Prec@1 45.312 (53.031)	Prec@5 81.250 (82.379)
Epoch: [83][2040/14090]	Time 0.740 (0.769)	Data 0.001 (0.003)	Loss 1.9385 (1.7823)	Prec@1 52.344 (53.033)	Prec@5 78.906 (82.377)
Epoch: [83][2050/14090]	Time 0.861 (0.769)	Data 0.001 (0.003)	Loss 1.7626 (1.7822)	Prec@1 53.125 (53.039)	Prec@5 83.594 (82.386)
Epoch: [83][2060/14090]	Time 0.736 (0.769)	Data 0.001 (0.003)	Loss 1.7689 (1.7821)	Prec@1 53.125 (53.041)	Prec@5 80.469 (82.384)
Epoch: [83][2070/14090]	Time 0.730 (0.769)	Data 0.001 (0.003)	Loss 1.9724 (1.7819)	Prec@1 48.438 (53.056)	Prec@5 81.250 (82.386)
Epoch: [83][2080/14090]	Time 0.744 (0.769)	Data 0.001 (0.003)	Loss 1.8619 (1.7818)	Prec@1 53.125 (53.061)	Prec@5 81.250 (82.386)
Epoch: [83][2090/14090]	Time 0.751 (0.769)	Data 0.001 (0.003)	Loss 1.6567 (1.7814)	Prec@1 55.469 (53.069)	Prec@5 85.938 (82.397)
Epoch: [83][2100/14090]	Time 0.740 (0.769)	Data 0.001 (0.003)	Loss 1.7858 (1.7813)	Prec@1 54.688 (53.074)	Prec@5 84.375 (82.394)
Epoch: [83][2110/14090]	Time 0.735 (0.769)	Data 0.001 (0.003)	Loss 1.8100 (1.7813)	Prec@1 52.344 (53.071)	Prec@5 82.031 (82.389)
Epoch: [83][2120/14090]	Time 0.872 (0.769)	Data 0.001 (0.003)	Loss 1.6736 (1.7817)	Prec@1 57.031 (53.064)	Prec@5 84.375 (82.383)
Epoch: [83][2130/14090]	Time 0.737 (0.769)	Data 0.001 (0.003)	Loss 1.7393 (1.7819)	Prec@1 54.688 (53.056)	Prec@5 83.594 (82.377)
Epoch: [83][2140/14090]	Time 0.738 (0.769)	Data 0.001 (0.003)	Loss 1.8750 (1.7819)	Prec@1 50.781 (53.065)	Prec@5 79.688 (82.376)
Epoch: [83][2150/14090]	Time 0.728 (0.769)	Data 0.001 (0.003)	Loss 1.7890 (1.7823)	Prec@1 56.250 (53.061)	Prec@5 82.031 (82.366)
Epoch: [83][2160/14090]	Time 0.755 (0.769)	Data 0.001 (0.003)	Loss 1.9412 (1.7824)	Prec@1 50.000 (53.058)	Prec@5 80.469 (82.368)
Epoch: [83][2170/14090]	Time 0.729 (0.769)	Data 0.001 (0.003)	Loss 1.8147 (1.7830)	Prec@1 53.906 (53.046)	Prec@5 82.812 (82.355)
Epoch: [83][2180/14090]	Time 0.776 (0.768)	Data 0.001 (0.003)	Loss 1.7076 (1.7831)	Prec@1 57.031 (53.042)	Prec@5 82.031 (82.353)
Epoch: [83][2190/14090]	Time 0.866 (0.768)	Data 0.001 (0.003)	Loss 1.9169 (1.7832)	Prec@1 50.000 (53.033)	Prec@5 76.562 (82.355)
Epoch: [83][2200/14090]	Time 0.776 (0.768)	Data 0.001 (0.003)	Loss 1.6038 (1.7832)	Prec@1 60.156 (53.036)	Prec@5 79.688 (82.352)
Epoch: [83][2210/14090]	Time 0.776 (0.768)	Data 0.001 (0.003)	Loss 1.5277 (1.7831)	Prec@1 59.375 (53.040)	Prec@5 88.281 (82.354)
Epoch: [83][2220/14090]	Time 0.753 (0.768)	Data 0.001 (0.003)	Loss 1.7306 (1.7829)	Prec@1 49.219 (53.046)	Prec@5 85.156 (82.360)
Epoch: [83][2230/14090]	Time 0.748 (0.768)	Data 0.001 (0.003)	Loss 1.8257 (1.7832)	Prec@1 53.125 (53.030)	Prec@5 84.375 (82.358)
Epoch: [83][2240/14090]	Time 0.735 (0.768)	Data 0.001 (0.003)	Loss 1.6277 (1.7830)	Prec@1 54.688 (53.027)	Prec@5 86.719 (82.361)
Epoch: [83][2250/14090]	Time 0.730 (0.768)	Data 0.001 (0.003)	Loss 1.7699 (1.7833)	Prec@1 52.344 (53.021)	Prec@5 84.375 (82.357)
Epoch: [83][2260/14090]	Time 0.854 (0.768)	Data 0.001 (0.003)	Loss 1.7882 (1.7833)	Prec@1 52.344 (53.018)	Prec@5 78.906 (82.351)
Epoch: [83][2270/14090]	Time 0.743 (0.768)	Data 0.001 (0.003)	Loss 1.7072 (1.7832)	Prec@1 60.938 (53.028)	Prec@5 84.375 (82.348)
Epoch: [83][2280/14090]	Time 0.733 (0.768)	Data 0.001 (0.003)	Loss 1.8114 (1.7832)	Prec@1 57.812 (53.029)	Prec@5 79.688 (82.341)
Epoch: [83][2290/14090]	Time 0.753 (0.768)	Data 0.000 (0.003)	Loss 2.1919 (1.7830)	Prec@1 42.969 (53.036)	Prec@5 75.000 (82.342)
Epoch: [83][2300/14090]	Time 0.745 (0.768)	Data 0.001 (0.003)	Loss 1.7487 (1.7831)	Prec@1 50.000 (53.033)	Prec@5 83.594 (82.346)
Epoch: [83][2310/14090]	Time 0.760 (0.768)	Data 0.001 (0.003)	Loss 1.5018 (1.7828)	Prec@1 60.156 (53.038)	Prec@5 89.062 (82.351)
Epoch: [83][2320/14090]	Time 0.746 (0.768)	Data 0.001 (0.003)	Loss 1.7921 (1.7831)	Prec@1 48.438 (53.033)	Prec@5 85.156 (82.344)
Epoch: [83][2330/14090]	Time 0.856 (0.768)	Data 0.001 (0.003)	Loss 1.7644 (1.7831)	Prec@1 50.000 (53.036)	Prec@5 84.375 (82.341)
Epoch: [83][2340/14090]	Time 0.750 (0.768)	Data 0.001 (0.003)	Loss 1.9361 (1.7828)	Prec@1 46.094 (53.039)	Prec@5 81.250 (82.346)
Epoch: [83][2350/14090]	Time 0.741 (0.768)	Data 0.001 (0.003)	Loss 1.8571 (1.7830)	Prec@1 46.875 (53.030)	Prec@5 81.250 (82.343)
Epoch: [83][2360/14090]	Time 0.762 (0.768)	Data 0.001 (0.003)	Loss 1.9655 (1.7832)	Prec@1 45.312 (53.031)	Prec@5 78.125 (82.337)
Epoch: [83][2370/14090]	Time 0.747 (0.768)	Data 0.001 (0.003)	Loss 1.9707 (1.7833)	Prec@1 51.562 (53.037)	Prec@5 80.469 (82.335)
Epoch: [83][2380/14090]	Time 0.743 (0.768)	Data 0.001 (0.003)	Loss 1.7971 (1.7832)	Prec@1 53.125 (53.035)	Prec@5 82.031 (82.339)
Epoch: [83][2390/14090]	Time 0.751 (0.768)	Data 0.001 (0.003)	Loss 1.9129 (1.7835)	Prec@1 55.469 (53.025)	Prec@5 79.688 (82.338)
Epoch: [83][2400/14090]	Time 0.867 (0.768)	Data 0.001 (0.003)	Loss 2.0271 (1.7832)	Prec@1 50.781 (53.025)	Prec@5 77.344 (82.341)
Epoch: [83][2410/14090]	Time 0.749 (0.768)	Data 0.001 (0.003)	Loss 1.5526 (1.7835)	Prec@1 56.250 (53.024)	Prec@5 85.938 (82.334)
Epoch: [83][2420/14090]	Time 0.742 (0.768)	Data 0.001 (0.003)	Loss 1.9693 (1.7835)	Prec@1 51.562 (53.027)	Prec@5 78.906 (82.331)
Epoch: [83][2430/14090]	Time 0.724 (0.768)	Data 0.001 (0.003)	Loss 1.9301 (1.7838)	Prec@1 50.000 (53.017)	Prec@5 80.469 (82.330)
Epoch: [83][2440/14090]	Time 0.741 (0.768)	Data 0.001 (0.003)	Loss 1.7423 (1.7838)	Prec@1 53.125 (53.012)	Prec@5 81.250 (82.329)
Epoch: [83][2450/14090]	Time 0.763 (0.768)	Data 0.001 (0.003)	Loss 1.8816 (1.7840)	Prec@1 51.562 (53.008)	Prec@5 78.906 (82.328)
Epoch: [83][2460/14090]	Time 0.739 (0.768)	Data 0.001 (0.003)	Loss 1.7157 (1.7842)	Prec@1 58.594 (53.005)	Prec@5 84.375 (82.325)
Epoch: [83][2470/14090]	Time 0.855 (0.768)	Data 0.001 (0.003)	Loss 1.9396 (1.7839)	Prec@1 50.000 (53.014)	Prec@5 79.688 (82.330)
Epoch: [83][2480/14090]	Time 0.807 (0.768)	Data 0.001 (0.003)	Loss 1.8188 (1.7838)	Prec@1 49.219 (53.013)	Prec@5 82.031 (82.335)
Epoch: [83][2490/14090]	Time 0.742 (0.768)	Data 0.001 (0.003)	Loss 1.7626 (1.7836)	Prec@1 55.469 (53.020)	Prec@5 83.594 (82.335)
Epoch: [83][2500/14090]	Time 0.765 (0.768)	Data 0.001 (0.003)	Loss 1.9746 (1.7840)	Prec@1 51.562 (53.017)	Prec@5 77.344 (82.326)
Epoch: [83][2510/14090]	Time 0.754 (0.768)	Data 0.001 (0.003)	Loss 1.7979 (1.7839)	Prec@1 51.562 (53.012)	Prec@5 86.719 (82.329)
Epoch: [83][2520/14090]	Time 0.727 (0.768)	Data 0.001 (0.003)	Loss 1.5867 (1.7837)	Prec@1 53.125 (53.017)	Prec@5 83.594 (82.334)
Epoch: [83][2530/14090]	Time 0.744 (0.768)	Data 0.001 (0.003)	Loss 1.9468 (1.7838)	Prec@1 46.094 (53.014)	Prec@5 81.250 (82.336)
Epoch: [83][2540/14090]	Time 0.869 (0.768)	Data 0.001 (0.003)	Loss 1.5896 (1.7837)	Prec@1 49.219 (53.019)	Prec@5 89.062 (82.335)
Epoch: [83][2550/14090]	Time 0.755 (0.768)	Data 0.001 (0.003)	Loss 1.8240 (1.7836)	Prec@1 55.469 (53.026)	Prec@5 83.594 (82.337)
Epoch: [83][2560/14090]	Time 0.776 (0.768)	Data 0.001 (0.003)	Loss 1.5736 (1.7834)	Prec@1 60.938 (53.031)	Prec@5 81.250 (82.336)
Epoch: [83][2570/14090]	Time 0.727 (0.768)	Data 0.001 (0.003)	Loss 1.7762 (1.7834)	Prec@1 53.125 (53.024)	Prec@5 82.031 (82.334)
Epoch: [83][2580/14090]	Time 0.745 (0.768)	Data 0.001 (0.003)	Loss 1.8257 (1.7834)	Prec@1 45.312 (53.027)	Prec@5 82.031 (82.337)
Epoch: [83][2590/14090]	Time 0.750 (0.768)	Data 0.001 (0.003)	Loss 1.8145 (1.7835)	Prec@1 50.781 (53.022)	Prec@5 79.688 (82.332)
Epoch: [83][2600/14090]	Time 0.750 (0.768)	Data 0.001 (0.003)	Loss 1.8968 (1.7835)	Prec@1 52.344 (53.025)	Prec@5 83.594 (82.334)
Epoch: [83][2610/14090]	Time 0.841 (0.768)	Data 0.001 (0.003)	Loss 1.6597 (1.7835)	Prec@1 60.938 (53.023)	Prec@5 85.938 (82.339)
Epoch: [83][2620/14090]	Time 0.744 (0.768)	Data 0.001 (0.003)	Loss 1.9230 (1.7835)	Prec@1 46.094 (53.020)	Prec@5 81.250 (82.335)
Epoch: [83][2630/14090]	Time 0.724 (0.768)	Data 0.001 (0.003)	Loss 1.7379 (1.7833)	Prec@1 58.594 (53.026)	Prec@5 82.031 (82.338)
Epoch: [83][2640/14090]	Time 0.761 (0.768)	Data 0.001 (0.003)	Loss 1.8583 (1.7835)	Prec@1 54.688 (53.022)	Prec@5 82.031 (82.337)
Epoch: [83][2650/14090]	Time 0.724 (0.768)	Data 0.001 (0.003)	Loss 1.6816 (1.7835)	Prec@1 57.812 (53.025)	Prec@5 82.031 (82.338)
Epoch: [83][2660/14090]	Time 0.727 (0.768)	Data 0.001 (0.003)	Loss 1.9672 (1.7837)	Prec@1 50.781 (53.022)	Prec@5 76.562 (82.331)
Epoch: [83][2670/14090]	Time 0.746 (0.768)	Data 0.001 (0.003)	Loss 1.7523 (1.7839)	Prec@1 49.219 (53.022)	Prec@5 84.375 (82.326)
Epoch: [83][2680/14090]	Time 0.961 (0.768)	Data 0.003 (0.003)	Loss 1.7309 (1.7842)	Prec@1 55.469 (53.015)	Prec@5 84.375 (82.324)
Epoch: [83][2690/14090]	Time 0.739 (0.768)	Data 0.001 (0.003)	Loss 2.0298 (1.7843)	Prec@1 49.219 (53.018)	Prec@5 75.781 (82.323)
Epoch: [83][2700/14090]	Time 0.730 (0.768)	Data 0.001 (0.003)	Loss 1.9767 (1.7846)	Prec@1 46.094 (53.008)	Prec@5 79.688 (82.319)
Epoch: [83][2710/14090]	Time 0.749 (0.768)	Data 0.001 (0.003)	Loss 1.9311 (1.7848)	Prec@1 48.438 (53.007)	Prec@5 78.906 (82.315)
Epoch: [83][2720/14090]	Time 0.739 (0.768)	Data 0.002 (0.003)	Loss 1.7102 (1.7848)	Prec@1 57.812 (53.008)	Prec@5 82.031 (82.312)
Epoch: [83][2730/14090]	Time 0.758 (0.768)	Data 0.001 (0.003)	Loss 1.7011 (1.7848)	Prec@1 58.594 (53.005)	Prec@5 85.938 (82.313)
Epoch: [83][2740/14090]	Time 0.727 (0.768)	Data 0.001 (0.003)	Loss 1.8618 (1.7849)	Prec@1 53.906 (53.003)	Prec@5 78.125 (82.311)
Epoch: [83][2750/14090]	Time 0.861 (0.768)	Data 0.001 (0.003)	Loss 1.8572 (1.7846)	Prec@1 50.781 (53.012)	Prec@5 82.031 (82.319)
Epoch: [83][2760/14090]	Time 0.768 (0.768)	Data 0.001 (0.003)	Loss 1.7564 (1.7846)	Prec@1 53.906 (53.011)	Prec@5 82.812 (82.319)
Epoch: [83][2770/14090]	Time 0.777 (0.768)	Data 0.001 (0.003)	Loss 1.7572 (1.7845)	Prec@1 56.250 (53.011)	Prec@5 82.812 (82.319)
Epoch: [83][2780/14090]	Time 0.732 (0.768)	Data 0.001 (0.003)	Loss 1.7453 (1.7848)	Prec@1 53.125 (53.001)	Prec@5 79.688 (82.314)
Epoch: [83][2790/14090]	Time 0.764 (0.768)	Data 0.001 (0.003)	Loss 1.9541 (1.7851)	Prec@1 49.219 (52.997)	Prec@5 81.250 (82.312)
Epoch: [83][2800/14090]	Time 0.724 (0.768)	Data 0.001 (0.003)	Loss 1.6599 (1.7851)	Prec@1 53.125 (52.993)	Prec@5 84.375 (82.309)
Epoch: [83][2810/14090]	Time 0.725 (0.768)	Data 0.001 (0.003)	Loss 1.5138 (1.7851)	Prec@1 57.031 (52.997)	Prec@5 87.500 (82.306)
Epoch: [83][2820/14090]	Time 0.871 (0.768)	Data 0.001 (0.003)	Loss 1.4949 (1.7850)	Prec@1 60.156 (53.002)	Prec@5 86.719 (82.303)
Epoch: [83][2830/14090]	Time 0.760 (0.768)	Data 0.001 (0.003)	Loss 1.8123 (1.7847)	Prec@1 47.656 (53.004)	Prec@5 82.812 (82.304)
Epoch: [83][2840/14090]	Time 0.758 (0.768)	Data 0.001 (0.003)	Loss 2.0678 (1.7848)	Prec@1 47.656 (53.006)	Prec@5 78.125 (82.303)
Epoch: [83][2850/14090]	Time 0.742 (0.768)	Data 0.001 (0.003)	Loss 1.7675 (1.7850)	Prec@1 52.344 (52.997)	Prec@5 81.250 (82.298)
Epoch: [83][2860/14090]	Time 0.758 (0.768)	Data 0.001 (0.003)	Loss 1.8273 (1.7851)	Prec@1 49.219 (52.994)	Prec@5 82.812 (82.295)
Epoch: [83][2870/14090]	Time 0.738 (0.768)	Data 0.000 (0.003)	Loss 1.6657 (1.7851)	Prec@1 58.594 (53.000)	Prec@5 83.594 (82.298)
Epoch: [83][2880/14090]	Time 0.739 (0.768)	Data 0.001 (0.003)	Loss 2.0004 (1.7851)	Prec@1 46.094 (52.998)	Prec@5 78.125 (82.297)
Epoch: [83][2890/14090]	Time 0.848 (0.768)	Data 0.001 (0.003)	Loss 1.6495 (1.7850)	Prec@1 54.688 (53.005)	Prec@5 86.719 (82.301)
Epoch: [83][2900/14090]	Time 0.756 (0.768)	Data 0.001 (0.003)	Loss 2.0247 (1.7851)	Prec@1 46.875 (53.001)	Prec@5 78.125 (82.296)
Epoch: [83][2910/14090]	Time 0.733 (0.768)	Data 0.001 (0.003)	Loss 1.7540 (1.7856)	Prec@1 55.469 (52.991)	Prec@5 82.031 (82.291)
Epoch: [83][2920/14090]	Time 0.742 (0.768)	Data 0.001 (0.003)	Loss 1.8260 (1.7858)	Prec@1 52.344 (52.984)	Prec@5 82.812 (82.287)
Epoch: [83][2930/14090]	Time 0.737 (0.768)	Data 0.001 (0.003)	Loss 1.5555 (1.7855)	Prec@1 57.812 (52.989)	Prec@5 88.281 (82.294)
Epoch: [83][2940/14090]	Time 0.743 (0.768)	Data 0.001 (0.003)	Loss 1.9783 (1.7855)	Prec@1 57.031 (52.991)	Prec@5 78.125 (82.291)
Epoch: [83][2950/14090]	Time 0.781 (0.768)	Data 0.001 (0.002)	Loss 2.1040 (1.7854)	Prec@1 46.875 (52.998)	Prec@5 74.219 (82.295)
Epoch: [83][2960/14090]	Time 0.871 (0.768)	Data 0.001 (0.002)	Loss 1.7860 (1.7854)	Prec@1 55.469 (52.993)	Prec@5 81.250 (82.294)
Epoch: [83][2970/14090]	Time 0.775 (0.768)	Data 0.001 (0.002)	Loss 1.8695 (1.7851)	Prec@1 50.781 (52.997)	Prec@5 78.906 (82.299)
Epoch: [83][2980/14090]	Time 0.778 (0.768)	Data 0.001 (0.002)	Loss 1.8189 (1.7852)	Prec@1 49.219 (52.999)	Prec@5 79.688 (82.302)
Epoch: [83][2990/14090]	Time 0.762 (0.768)	Data 0.001 (0.002)	Loss 1.5781 (1.7850)	Prec@1 59.375 (53.006)	Prec@5 85.156 (82.304)
Epoch: [83][3000/14090]	Time 0.815 (0.768)	Data 0.001 (0.002)	Loss 1.8036 (1.7852)	Prec@1 52.344 (53.003)	Prec@5 85.156 (82.301)
Epoch: [83][3010/14090]	Time 0.759 (0.768)	Data 0.001 (0.002)	Loss 1.7916 (1.7855)	Prec@1 54.688 (52.993)	Prec@5 81.250 (82.295)
Epoch: [83][3020/14090]	Time 0.766 (0.768)	Data 0.001 (0.002)	Loss 1.8243 (1.7857)	Prec@1 51.562 (52.992)	Prec@5 82.812 (82.294)
Epoch: [83][3030/14090]	Time 0.868 (0.768)	Data 0.001 (0.002)	Loss 1.8642 (1.7857)	Prec@1 51.562 (52.994)	Prec@5 81.250 (82.297)
Epoch: [83][3040/14090]	Time 0.753 (0.768)	Data 0.001 (0.002)	Loss 1.7735 (1.7856)	Prec@1 58.594 (53.002)	Prec@5 77.344 (82.297)
Epoch: [83][3050/14090]	Time 0.768 (0.768)	Data 0.001 (0.002)	Loss 1.9354 (1.7855)	Prec@1 48.438 (53.006)	Prec@5 78.125 (82.296)
Epoch: [83][3060/14090]	Time 0.755 (0.768)	Data 0.002 (0.002)	Loss 1.8082 (1.7856)	Prec@1 55.469 (53.004)	Prec@5 81.250 (82.296)
Epoch: [83][3070/14090]	Time 0.786 (0.768)	Data 0.001 (0.002)	Loss 1.7970 (1.7856)	Prec@1 58.594 (53.008)	Prec@5 82.031 (82.299)
Epoch: [83][3080/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 2.0759 (1.7859)	Prec@1 50.781 (53.000)	Prec@5 74.219 (82.292)
Epoch: [83][3090/14090]	Time 0.734 (0.768)	Data 0.001 (0.002)	Loss 1.7329 (1.7860)	Prec@1 54.688 (53.001)	Prec@5 82.812 (82.293)
Epoch: [83][3100/14090]	Time 0.862 (0.768)	Data 0.001 (0.002)	Loss 1.6113 (1.7859)	Prec@1 60.938 (53.004)	Prec@5 82.812 (82.296)
Epoch: [83][3110/14090]	Time 0.748 (0.768)	Data 0.001 (0.002)	Loss 1.7557 (1.7861)	Prec@1 56.250 (52.999)	Prec@5 85.156 (82.295)
Epoch: [83][3120/14090]	Time 0.752 (0.768)	Data 0.001 (0.002)	Loss 1.9535 (1.7863)	Prec@1 49.219 (53.000)	Prec@5 78.125 (82.294)
Epoch: [83][3130/14090]	Time 0.749 (0.768)	Data 0.001 (0.002)	Loss 1.9476 (1.7862)	Prec@1 43.750 (53.004)	Prec@5 80.469 (82.293)
Epoch: [83][3140/14090]	Time 0.750 (0.768)	Data 0.001 (0.002)	Loss 1.8487 (1.7862)	Prec@1 42.969 (53.001)	Prec@5 84.375 (82.292)
Epoch: [83][3150/14090]	Time 0.753 (0.768)	Data 0.000 (0.002)	Loss 1.8015 (1.7862)	Prec@1 57.031 (53.006)	Prec@5 82.812 (82.291)
Epoch: [83][3160/14090]	Time 0.757 (0.768)	Data 0.001 (0.002)	Loss 1.8180 (1.7865)	Prec@1 53.125 (53.004)	Prec@5 85.938 (82.287)
Epoch: [83][3170/14090]	Time 0.876 (0.768)	Data 0.001 (0.002)	Loss 1.9420 (1.7865)	Prec@1 53.125 (53.001)	Prec@5 80.469 (82.284)
Epoch: [83][3180/14090]	Time 0.734 (0.768)	Data 0.001 (0.002)	Loss 1.8130 (1.7866)	Prec@1 50.000 (52.995)	Prec@5 79.688 (82.284)
Epoch: [83][3190/14090]	Time 0.760 (0.768)	Data 0.001 (0.002)	Loss 1.5269 (1.7862)	Prec@1 60.156 (53.001)	Prec@5 86.719 (82.286)
Epoch: [83][3200/14090]	Time 0.750 (0.768)	Data 0.001 (0.002)	Loss 1.7810 (1.7862)	Prec@1 60.156 (53.002)	Prec@5 80.469 (82.292)
Epoch: [83][3210/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 1.6310 (1.7861)	Prec@1 57.031 (53.002)	Prec@5 82.812 (82.292)
Epoch: [83][3220/14090]	Time 0.744 (0.768)	Data 0.001 (0.002)	Loss 1.8469 (1.7862)	Prec@1 49.219 (53.001)	Prec@5 82.812 (82.293)
Epoch: [83][3230/14090]	Time 0.769 (0.768)	Data 0.001 (0.002)	Loss 1.9627 (1.7861)	Prec@1 49.219 (53.002)	Prec@5 78.906 (82.293)
Epoch: [83][3240/14090]	Time 0.865 (0.768)	Data 0.001 (0.002)	Loss 1.8886 (1.7861)	Prec@1 50.781 (53.001)	Prec@5 75.781 (82.291)
Epoch: [83][3250/14090]	Time 0.756 (0.768)	Data 0.001 (0.002)	Loss 1.7623 (1.7860)	Prec@1 54.688 (53.003)	Prec@5 85.938 (82.293)
Epoch: [83][3260/14090]	Time 0.746 (0.768)	Data 0.001 (0.002)	Loss 1.6853 (1.7859)	Prec@1 57.812 (53.003)	Prec@5 83.594 (82.295)
Epoch: [83][3270/14090]	Time 0.754 (0.768)	Data 0.001 (0.002)	Loss 1.9818 (1.7860)	Prec@1 51.562 (53.004)	Prec@5 82.031 (82.296)
Epoch: [83][3280/14090]	Time 0.747 (0.768)	Data 0.001 (0.002)	Loss 2.1531 (1.7864)	Prec@1 44.531 (52.998)	Prec@5 74.219 (82.288)
Epoch: [83][3290/14090]	Time 0.755 (0.768)	Data 0.001 (0.002)	Loss 1.8482 (1.7864)	Prec@1 46.875 (52.998)	Prec@5 80.469 (82.289)
Epoch: [83][3300/14090]	Time 0.744 (0.768)	Data 0.001 (0.002)	Loss 2.2359 (1.7865)	Prec@1 37.500 (52.996)	Prec@5 79.688 (82.290)
Epoch: [83][3310/14090]	Time 0.912 (0.768)	Data 0.001 (0.002)	Loss 1.8784 (1.7865)	Prec@1 46.094 (52.995)	Prec@5 84.375 (82.289)
Epoch: [83][3320/14090]	Time 0.747 (0.768)	Data 0.001 (0.002)	Loss 1.9047 (1.7866)	Prec@1 47.656 (52.989)	Prec@5 83.594 (82.290)
Epoch: [83][3330/14090]	Time 0.748 (0.768)	Data 0.001 (0.002)	Loss 1.7195 (1.7864)	Prec@1 58.594 (52.992)	Prec@5 81.250 (82.291)
Epoch: [83][3340/14090]	Time 0.735 (0.768)	Data 0.001 (0.002)	Loss 1.8965 (1.7867)	Prec@1 51.562 (52.986)	Prec@5 85.156 (82.294)
Epoch: [83][3350/14090]	Time 0.747 (0.768)	Data 0.001 (0.002)	Loss 1.5988 (1.7865)	Prec@1 61.719 (52.995)	Prec@5 84.375 (82.295)
Epoch: [83][3360/14090]	Time 0.733 (0.768)	Data 0.001 (0.002)	Loss 1.7661 (1.7865)	Prec@1 50.000 (52.994)	Prec@5 81.250 (82.295)
Epoch: [83][3370/14090]	Time 0.743 (0.768)	Data 0.001 (0.002)	Loss 1.9185 (1.7866)	Prec@1 48.438 (52.991)	Prec@5 78.906 (82.293)
Epoch: [83][3380/14090]	Time 0.878 (0.768)	Data 0.001 (0.002)	Loss 1.5686 (1.7865)	Prec@1 58.594 (52.988)	Prec@5 82.812 (82.290)
Epoch: [83][3390/14090]	Time 0.747 (0.768)	Data 0.001 (0.002)	Loss 1.5643 (1.7865)	Prec@1 54.688 (52.989)	Prec@5 86.719 (82.285)
Epoch: [83][3400/14090]	Time 0.747 (0.768)	Data 0.001 (0.002)	Loss 1.9415 (1.7865)	Prec@1 50.781 (52.993)	Prec@5 78.125 (82.284)
Epoch: [83][3410/14090]	Time 0.736 (0.768)	Data 0.001 (0.002)	Loss 1.9292 (1.7864)	Prec@1 50.000 (52.995)	Prec@5 80.469 (82.287)
Epoch: [83][3420/14090]	Time 0.754 (0.768)	Data 0.001 (0.002)	Loss 1.7894 (1.7862)	Prec@1 53.125 (52.999)	Prec@5 82.031 (82.292)
Epoch: [83][3430/14090]	Time 0.746 (0.768)	Data 0.001 (0.002)	Loss 2.0244 (1.7862)	Prec@1 53.906 (53.000)	Prec@5 82.031 (82.296)
Epoch: [83][3440/14090]	Time 0.768 (0.768)	Data 0.001 (0.002)	Loss 1.6314 (1.7861)	Prec@1 52.344 (53.005)	Prec@5 82.812 (82.294)
Epoch: [83][3450/14090]	Time 0.860 (0.768)	Data 0.001 (0.002)	Loss 1.7210 (1.7861)	Prec@1 52.344 (52.999)	Prec@5 84.375 (82.297)
Epoch: [83][3460/14090]	Time 0.761 (0.768)	Data 0.001 (0.002)	Loss 1.8733 (1.7860)	Prec@1 48.438 (53.000)	Prec@5 84.375 (82.301)
Epoch: [83][3470/14090]	Time 0.747 (0.768)	Data 0.001 (0.002)	Loss 1.7285 (1.7861)	Prec@1 51.562 (52.996)	Prec@5 84.375 (82.301)
Epoch: [83][3480/14090]	Time 0.764 (0.768)	Data 0.001 (0.002)	Loss 1.9171 (1.7865)	Prec@1 52.344 (52.990)	Prec@5 79.688 (82.296)
Epoch: [83][3490/14090]	Time 0.750 (0.768)	Data 0.001 (0.002)	Loss 1.7474 (1.7864)	Prec@1 52.344 (52.990)	Prec@5 85.156 (82.298)
Epoch: [83][3500/14090]	Time 0.757 (0.768)	Data 0.001 (0.002)	Loss 1.7579 (1.7865)	Prec@1 56.250 (52.992)	Prec@5 84.375 (82.295)
Epoch: [83][3510/14090]	Time 0.763 (0.768)	Data 0.001 (0.002)	Loss 1.8480 (1.7865)	Prec@1 56.250 (52.996)	Prec@5 75.781 (82.291)
Epoch: [83][3520/14090]	Time 0.855 (0.768)	Data 0.001 (0.002)	Loss 1.8725 (1.7864)	Prec@1 55.469 (53.001)	Prec@5 81.250 (82.294)
Epoch: [83][3530/14090]	Time 0.745 (0.768)	Data 0.001 (0.002)	Loss 1.9138 (1.7864)	Prec@1 44.531 (53.000)	Prec@5 83.594 (82.294)
Epoch: [83][3540/14090]	Time 0.732 (0.768)	Data 0.001 (0.002)	Loss 2.0060 (1.7865)	Prec@1 49.219 (52.998)	Prec@5 79.688 (82.296)
Epoch: [83][3550/14090]	Time 0.746 (0.768)	Data 0.001 (0.002)	Loss 2.0114 (1.7866)	Prec@1 45.312 (52.991)	Prec@5 80.469 (82.295)
Epoch: [83][3560/14090]	Time 0.746 (0.768)	Data 0.001 (0.002)	Loss 1.6854 (1.7867)	Prec@1 57.812 (52.986)	Prec@5 83.594 (82.292)
Epoch: [83][3570/14090]	Time 0.746 (0.768)	Data 0.001 (0.002)	Loss 1.6630 (1.7866)	Prec@1 53.125 (52.984)	Prec@5 86.719 (82.293)
Epoch: [83][3580/14090]	Time 0.746 (0.768)	Data 0.001 (0.002)	Loss 1.7508 (1.7867)	Prec@1 50.781 (52.980)	Prec@5 84.375 (82.293)
Epoch: [83][3590/14090]	Time 0.848 (0.768)	Data 0.001 (0.002)	Loss 1.8587 (1.7866)	Prec@1 54.688 (52.987)	Prec@5 82.812 (82.293)
Epoch: [83][3600/14090]	Time 0.749 (0.768)	Data 0.001 (0.002)	Loss 1.7182 (1.7864)	Prec@1 55.469 (52.995)	Prec@5 83.594 (82.300)
Epoch: [83][3610/14090]	Time 0.754 (0.768)	Data 0.001 (0.002)	Loss 1.9966 (1.7863)	Prec@1 50.000 (52.997)	Prec@5 81.250 (82.297)
Epoch: [83][3620/14090]	Time 0.737 (0.768)	Data 0.001 (0.002)	Loss 1.7819 (1.7862)	Prec@1 57.031 (53.001)	Prec@5 78.906 (82.299)
Epoch: [83][3630/14090]	Time 0.754 (0.768)	Data 0.001 (0.002)	Loss 1.8348 (1.7862)	Prec@1 53.125 (52.999)	Prec@5 83.594 (82.299)
Epoch: [83][3640/14090]	Time 0.752 (0.768)	Data 0.001 (0.002)	Loss 1.4558 (1.7860)	Prec@1 56.250 (53.005)	Prec@5 85.156 (82.303)
Epoch: [83][3650/14090]	Time 0.738 (0.768)	Data 0.002 (0.002)	Loss 1.8533 (1.7860)	Prec@1 56.250 (53.008)	Prec@5 83.594 (82.303)
Epoch: [83][3660/14090]	Time 0.866 (0.768)	Data 0.001 (0.002)	Loss 2.0238 (1.7862)	Prec@1 45.312 (53.006)	Prec@5 77.344 (82.299)
Epoch: [83][3670/14090]	Time 0.749 (0.768)	Data 0.001 (0.002)	Loss 1.6893 (1.7862)	Prec@1 52.344 (53.006)	Prec@5 84.375 (82.300)
Epoch: [83][3680/14090]	Time 0.729 (0.768)	Data 0.001 (0.002)	Loss 1.5530 (1.7863)	Prec@1 61.719 (53.005)	Prec@5 85.938 (82.296)
Epoch: [83][3690/14090]	Time 0.734 (0.768)	Data 0.001 (0.002)	Loss 2.2830 (1.7865)	Prec@1 42.969 (53.002)	Prec@5 75.000 (82.293)
Epoch: [83][3700/14090]	Time 0.745 (0.768)	Data 0.001 (0.002)	Loss 1.6614 (1.7866)	Prec@1 59.375 (53.000)	Prec@5 83.594 (82.287)
Epoch: [83][3710/14090]	Time 0.753 (0.768)	Data 0.001 (0.002)	Loss 1.6888 (1.7867)	Prec@1 53.906 (53.002)	Prec@5 82.812 (82.285)
Epoch: [83][3720/14090]	Time 0.775 (0.768)	Data 0.001 (0.002)	Loss 1.7723 (1.7869)	Prec@1 50.781 (52.998)	Prec@5 83.594 (82.286)
Epoch: [83][3730/14090]	Time 0.885 (0.768)	Data 0.001 (0.002)	Loss 1.9429 (1.7870)	Prec@1 49.219 (53.000)	Prec@5 79.688 (82.284)
Epoch: [83][3740/14090]	Time 0.792 (0.768)	Data 0.001 (0.002)	Loss 2.1813 (1.7872)	Prec@1 38.281 (53.000)	Prec@5 78.125 (82.278)
Epoch: [83][3750/14090]	Time 0.742 (0.768)	Data 0.003 (0.002)	Loss 1.7436 (1.7872)	Prec@1 48.438 (52.999)	Prec@5 82.812 (82.276)
Epoch: [83][3760/14090]	Time 0.730 (0.768)	Data 0.001 (0.002)	Loss 1.8124 (1.7875)	Prec@1 58.594 (52.998)	Prec@5 82.031 (82.269)
Epoch: [83][3770/14090]	Time 0.745 (0.768)	Data 0.001 (0.002)	Loss 1.7148 (1.7874)	Prec@1 54.688 (52.999)	Prec@5 80.469 (82.268)
Epoch: [83][3780/14090]	Time 0.725 (0.768)	Data 0.001 (0.002)	Loss 1.8758 (1.7874)	Prec@1 53.125 (52.995)	Prec@5 79.688 (82.265)
Epoch: [83][3790/14090]	Time 0.753 (0.768)	Data 0.001 (0.002)	Loss 1.6712 (1.7875)	Prec@1 56.250 (52.997)	Prec@5 82.812 (82.262)
Epoch: [83][3800/14090]	Time 0.865 (0.768)	Data 0.001 (0.002)	Loss 1.7026 (1.7873)	Prec@1 56.250 (52.998)	Prec@5 82.812 (82.265)
Epoch: [83][3810/14090]	Time 0.763 (0.768)	Data 0.001 (0.002)	Loss 1.5533 (1.7874)	Prec@1 57.031 (52.997)	Prec@5 88.281 (82.263)
Epoch: [83][3820/14090]	Time 0.745 (0.768)	Data 0.001 (0.002)	Loss 1.6387 (1.7873)	Prec@1 57.031 (52.997)	Prec@5 85.156 (82.266)
Epoch: [83][3830/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 1.5988 (1.7874)	Prec@1 57.031 (52.997)	Prec@5 85.938 (82.261)
Epoch: [83][3840/14090]	Time 0.765 (0.768)	Data 0.002 (0.002)	Loss 1.7358 (1.7874)	Prec@1 53.125 (52.997)	Prec@5 82.812 (82.261)
Epoch: [83][3850/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 1.8993 (1.7874)	Prec@1 50.000 (52.998)	Prec@5 78.125 (82.257)
Epoch: [83][3860/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 1.6630 (1.7873)	Prec@1 57.812 (52.998)	Prec@5 84.375 (82.256)
Epoch: [83][3870/14090]	Time 0.903 (0.768)	Data 0.001 (0.002)	Loss 1.8041 (1.7874)	Prec@1 53.125 (52.996)	Prec@5 78.906 (82.258)
Epoch: [83][3880/14090]	Time 0.789 (0.768)	Data 0.001 (0.002)	Loss 1.6604 (1.7875)	Prec@1 53.125 (52.989)	Prec@5 85.938 (82.253)
Epoch: [83][3890/14090]	Time 0.743 (0.768)	Data 0.001 (0.002)	Loss 1.8943 (1.7877)	Prec@1 46.875 (52.985)	Prec@5 82.812 (82.250)
Epoch: [83][3900/14090]	Time 0.733 (0.768)	Data 0.001 (0.002)	Loss 1.9111 (1.7876)	Prec@1 49.219 (52.986)	Prec@5 85.156 (82.250)
Epoch: [83][3910/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 1.5411 (1.7876)	Prec@1 59.375 (52.987)	Prec@5 86.719 (82.252)
Epoch: [83][3920/14090]	Time 0.779 (0.768)	Data 0.001 (0.002)	Loss 1.8082 (1.7875)	Prec@1 53.125 (52.990)	Prec@5 83.594 (82.257)
Epoch: [83][3930/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 1.5402 (1.7875)	Prec@1 60.938 (52.989)	Prec@5 80.469 (82.254)
Epoch: [83][3940/14090]	Time 0.845 (0.768)	Data 0.001 (0.002)	Loss 1.8308 (1.7877)	Prec@1 54.688 (52.986)	Prec@5 78.125 (82.255)
Epoch: [83][3950/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 1.8643 (1.7876)	Prec@1 48.438 (52.988)	Prec@5 82.812 (82.258)
Epoch: [83][3960/14090]	Time 0.759 (0.768)	Data 0.001 (0.002)	Loss 1.7880 (1.7875)	Prec@1 50.781 (52.995)	Prec@5 83.594 (82.258)
Epoch: [83][3970/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 1.8206 (1.7874)	Prec@1 50.000 (52.994)	Prec@5 82.812 (82.262)
Epoch: [83][3980/14090]	Time 0.731 (0.768)	Data 0.001 (0.002)	Loss 1.6828 (1.7874)	Prec@1 57.031 (52.993)	Prec@5 85.938 (82.261)
Epoch: [83][3990/14090]	Time 0.733 (0.768)	Data 0.001 (0.002)	Loss 2.0238 (1.7874)	Prec@1 53.906 (53.000)	Prec@5 79.688 (82.261)
Epoch: [83][4000/14090]	Time 0.736 (0.768)	Data 0.001 (0.002)	Loss 1.6740 (1.7876)	Prec@1 53.125 (52.995)	Prec@5 85.938 (82.259)
Epoch: [83][4010/14090]	Time 0.866 (0.768)	Data 0.001 (0.002)	Loss 2.1782 (1.7875)	Prec@1 45.312 (52.995)	Prec@5 78.125 (82.263)
Epoch: [83][4020/14090]	Time 0.726 (0.768)	Data 0.001 (0.002)	Loss 1.8214 (1.7873)	Prec@1 50.000 (52.998)	Prec@5 82.812 (82.268)
Epoch: [83][4030/14090]	Time 0.748 (0.768)	Data 0.001 (0.002)	Loss 2.0604 (1.7873)	Prec@1 46.875 (53.001)	Prec@5 78.906 (82.266)
Epoch: [83][4040/14090]	Time 0.770 (0.768)	Data 0.001 (0.002)	Loss 1.8474 (1.7871)	Prec@1 49.219 (53.008)	Prec@5 80.469 (82.271)
Epoch: [83][4050/14090]	Time 0.748 (0.768)	Data 0.001 (0.002)	Loss 1.7405 (1.7870)	Prec@1 57.031 (53.009)	Prec@5 79.688 (82.272)
Epoch: [83][4060/14090]	Time 0.773 (0.768)	Data 0.001 (0.002)	Loss 1.8511 (1.7870)	Prec@1 52.344 (53.008)	Prec@5 80.469 (82.268)
Epoch: [83][4070/14090]	Time 0.729 (0.768)	Data 0.001 (0.002)	Loss 1.4434 (1.7869)	Prec@1 62.500 (53.013)	Prec@5 89.062 (82.268)
Epoch: [83][4080/14090]	Time 0.878 (0.768)	Data 0.001 (0.002)	Loss 1.6284 (1.7868)	Prec@1 60.938 (53.019)	Prec@5 82.812 (82.268)
Epoch: [83][4090/14090]	Time 0.774 (0.768)	Data 0.001 (0.002)	Loss 1.7997 (1.7869)	Prec@1 54.688 (53.018)	Prec@5 83.594 (82.264)
Epoch: [83][4100/14090]	Time 0.744 (0.768)	Data 0.001 (0.002)	Loss 1.5386 (1.7869)	Prec@1 62.500 (53.019)	Prec@5 89.062 (82.267)
Epoch: [83][4110/14090]	Time 0.780 (0.768)	Data 0.001 (0.002)	Loss 1.6683 (1.7869)	Prec@1 52.344 (53.015)	Prec@5 85.938 (82.267)
Epoch: [83][4120/14090]	Time 0.754 (0.768)	Data 0.001 (0.002)	Loss 1.7873 (1.7869)	Prec@1 53.125 (53.013)	Prec@5 80.469 (82.268)
Epoch: [83][4130/14090]	Time 0.768 (0.768)	Data 0.001 (0.002)	Loss 1.8030 (1.7870)	Prec@1 52.344 (53.010)	Prec@5 79.688 (82.262)
Epoch: [83][4140/14090]	Time 0.757 (0.768)	Data 0.001 (0.002)	Loss 1.5085 (1.7870)	Prec@1 62.500 (53.015)	Prec@5 82.031 (82.262)
Epoch: [83][4150/14090]	Time 0.891 (0.768)	Data 0.001 (0.002)	Loss 1.5443 (1.7870)	Prec@1 57.812 (53.016)	Prec@5 83.594 (82.260)
Epoch: [83][4160/14090]	Time 0.734 (0.768)	Data 0.001 (0.002)	Loss 1.4985 (1.7872)	Prec@1 60.156 (53.012)	Prec@5 87.500 (82.258)
Epoch: [83][4170/14090]	Time 0.736 (0.768)	Data 0.001 (0.002)	Loss 1.8906 (1.7872)	Prec@1 49.219 (53.013)	Prec@5 81.250 (82.256)
Epoch: [83][4180/14090]	Time 0.760 (0.768)	Data 0.001 (0.002)	Loss 1.7658 (1.7873)	Prec@1 54.688 (53.012)	Prec@5 82.812 (82.254)
Epoch: [83][4190/14090]	Time 0.730 (0.768)	Data 0.001 (0.002)	Loss 1.7356 (1.7874)	Prec@1 50.781 (53.006)	Prec@5 85.156 (82.254)
Epoch: [83][4200/14090]	Time 0.759 (0.768)	Data 0.001 (0.002)	Loss 1.7626 (1.7874)	Prec@1 53.125 (53.005)	Prec@5 85.938 (82.257)
Epoch: [83][4210/14090]	Time 0.781 (0.768)	Data 0.001 (0.002)	Loss 1.5397 (1.7873)	Prec@1 64.844 (53.011)	Prec@5 86.719 (82.256)
Epoch: [83][4220/14090]	Time 0.871 (0.768)	Data 0.001 (0.002)	Loss 1.6798 (1.7873)	Prec@1 55.469 (53.012)	Prec@5 86.719 (82.255)
Epoch: [83][4230/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 1.8372 (1.7875)	Prec@1 59.375 (53.010)	Prec@5 84.375 (82.255)
Epoch: [83][4240/14090]	Time 0.729 (0.768)	Data 0.001 (0.002)	Loss 1.6917 (1.7873)	Prec@1 57.031 (53.014)	Prec@5 80.469 (82.256)
Epoch: [83][4250/14090]	Time 0.759 (0.768)	Data 0.001 (0.002)	Loss 1.5714 (1.7873)	Prec@1 61.719 (53.018)	Prec@5 86.719 (82.255)
Epoch: [83][4260/14090]	Time 0.748 (0.768)	Data 0.001 (0.002)	Loss 1.8618 (1.7874)	Prec@1 52.344 (53.019)	Prec@5 82.031 (82.251)
Epoch: [83][4270/14090]	Time 0.746 (0.768)	Data 0.001 (0.002)	Loss 1.6949 (1.7873)	Prec@1 62.500 (53.023)	Prec@5 84.375 (82.251)
Epoch: [83][4280/14090]	Time 0.771 (0.768)	Data 0.001 (0.002)	Loss 1.8318 (1.7872)	Prec@1 52.344 (53.026)	Prec@5 81.250 (82.251)
Epoch: [83][4290/14090]	Time 0.867 (0.768)	Data 0.001 (0.002)	Loss 1.6503 (1.7873)	Prec@1 54.688 (53.026)	Prec@5 84.375 (82.248)
Epoch: [83][4300/14090]	Time 0.730 (0.768)	Data 0.001 (0.002)	Loss 1.8624 (1.7874)	Prec@1 51.562 (53.025)	Prec@5 78.906 (82.247)
Epoch: [83][4310/14090]	Time 0.730 (0.768)	Data 0.001 (0.002)	Loss 1.7578 (1.7874)	Prec@1 51.562 (53.027)	Prec@5 82.031 (82.248)
Epoch: [83][4320/14090]	Time 0.764 (0.768)	Data 0.001 (0.002)	Loss 1.6930 (1.7873)	Prec@1 55.469 (53.028)	Prec@5 82.812 (82.248)
Epoch: [83][4330/14090]	Time 0.747 (0.768)	Data 0.001 (0.002)	Loss 1.9195 (1.7874)	Prec@1 44.531 (53.025)	Prec@5 80.469 (82.250)
Epoch: [83][4340/14090]	Time 0.746 (0.768)	Data 0.003 (0.002)	Loss 1.8111 (1.7874)	Prec@1 52.344 (53.025)	Prec@5 82.812 (82.248)
Epoch: [83][4350/14090]	Time 0.755 (0.768)	Data 0.001 (0.002)	Loss 1.5413 (1.7875)	Prec@1 58.594 (53.023)	Prec@5 85.938 (82.246)
Epoch: [83][4360/14090]	Time 0.871 (0.768)	Data 0.001 (0.002)	Loss 1.7234 (1.7875)	Prec@1 57.031 (53.019)	Prec@5 82.812 (82.245)
Epoch: [83][4370/14090]	Time 0.741 (0.768)	Data 0.001 (0.002)	Loss 1.6448 (1.7875)	Prec@1 56.250 (53.016)	Prec@5 81.250 (82.247)
Epoch: [83][4380/14090]	Time 0.775 (0.768)	Data 0.001 (0.002)	Loss 1.7400 (1.7874)	Prec@1 50.781 (53.016)	Prec@5 83.594 (82.249)
Epoch: [83][4390/14090]	Time 0.774 (0.768)	Data 0.001 (0.002)	Loss 2.0439 (1.7874)	Prec@1 48.438 (53.020)	Prec@5 79.688 (82.248)
Epoch: [83][4400/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 1.7231 (1.7874)	Prec@1 57.812 (53.019)	Prec@5 82.031 (82.247)
Epoch: [83][4410/14090]	Time 0.735 (0.768)	Data 0.001 (0.002)	Loss 1.6985 (1.7874)	Prec@1 57.031 (53.019)	Prec@5 82.812 (82.247)
Epoch: [83][4420/14090]	Time 0.783 (0.768)	Data 0.001 (0.002)	Loss 1.9419 (1.7875)	Prec@1 50.781 (53.018)	Prec@5 78.906 (82.248)
Epoch: [83][4430/14090]	Time 0.886 (0.768)	Data 0.001 (0.002)	Loss 1.8730 (1.7876)	Prec@1 51.562 (53.014)	Prec@5 78.906 (82.245)
Epoch: [83][4440/14090]	Time 0.774 (0.768)	Data 0.001 (0.002)	Loss 1.9109 (1.7876)	Prec@1 51.562 (53.014)	Prec@5 78.125 (82.244)
Epoch: [83][4450/14090]	Time 0.766 (0.768)	Data 0.001 (0.002)	Loss 2.0880 (1.7878)	Prec@1 44.531 (53.008)	Prec@5 75.781 (82.237)
Epoch: [83][4460/14090]	Time 0.739 (0.768)	Data 0.001 (0.002)	Loss 1.5178 (1.7878)	Prec@1 53.125 (53.007)	Prec@5 89.062 (82.237)
Epoch: [83][4470/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 1.8454 (1.7877)	Prec@1 55.469 (53.011)	Prec@5 85.156 (82.242)
Epoch: [83][4480/14090]	Time 0.757 (0.768)	Data 0.001 (0.002)	Loss 1.8988 (1.7877)	Prec@1 55.469 (53.012)	Prec@5 83.594 (82.242)
Epoch: [83][4490/14090]	Time 0.761 (0.768)	Data 0.001 (0.002)	Loss 2.1733 (1.7878)	Prec@1 46.094 (53.012)	Prec@5 68.750 (82.239)
Epoch: [83][4500/14090]	Time 0.858 (0.768)	Data 0.001 (0.002)	Loss 1.9060 (1.7877)	Prec@1 54.688 (53.016)	Prec@5 78.125 (82.243)
Epoch: [83][4510/14090]	Time 0.737 (0.768)	Data 0.001 (0.002)	Loss 1.7720 (1.7877)	Prec@1 48.438 (53.013)	Prec@5 85.156 (82.243)
Epoch: [83][4520/14090]	Time 0.760 (0.768)	Data 0.001 (0.002)	Loss 1.8164 (1.7876)	Prec@1 50.781 (53.014)	Prec@5 80.469 (82.245)
Epoch: [83][4530/14090]	Time 0.752 (0.768)	Data 0.001 (0.002)	Loss 1.6309 (1.7877)	Prec@1 54.688 (53.014)	Prec@5 86.719 (82.243)
Epoch: [83][4540/14090]	Time 0.731 (0.768)	Data 0.001 (0.002)	Loss 1.9718 (1.7878)	Prec@1 51.562 (53.014)	Prec@5 81.250 (82.244)
Epoch: [83][4550/14090]	Time 0.761 (0.768)	Data 0.001 (0.002)	Loss 1.5884 (1.7878)	Prec@1 55.469 (53.015)	Prec@5 88.281 (82.248)
Epoch: [83][4560/14090]	Time 0.755 (0.768)	Data 0.001 (0.002)	Loss 1.7413 (1.7877)	Prec@1 57.812 (53.017)	Prec@5 82.812 (82.250)
Epoch: [83][4570/14090]	Time 0.889 (0.768)	Data 0.001 (0.002)	Loss 1.8638 (1.7875)	Prec@1 55.469 (53.022)	Prec@5 75.000 (82.250)
Epoch: [83][4580/14090]	Time 0.737 (0.768)	Data 0.001 (0.002)	Loss 1.6361 (1.7875)	Prec@1 60.156 (53.024)	Prec@5 81.250 (82.249)
Epoch: [83][4590/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 1.7758 (1.7876)	Prec@1 48.438 (53.024)	Prec@5 82.812 (82.248)
Epoch: [83][4600/14090]	Time 0.726 (0.768)	Data 0.001 (0.002)	Loss 1.8376 (1.7876)	Prec@1 50.000 (53.025)	Prec@5 78.125 (82.249)
Epoch: [83][4610/14090]	Time 0.748 (0.768)	Data 0.001 (0.002)	Loss 1.7303 (1.7874)	Prec@1 55.469 (53.028)	Prec@5 82.031 (82.252)
Epoch: [83][4620/14090]	Time 0.748 (0.768)	Data 0.001 (0.002)	Loss 1.6845 (1.7873)	Prec@1 49.219 (53.027)	Prec@5 86.719 (82.257)
Epoch: [83][4630/14090]	Time 0.767 (0.768)	Data 0.001 (0.002)	Loss 1.8331 (1.7874)	Prec@1 55.469 (53.026)	Prec@5 83.594 (82.256)
Epoch: [83][4640/14090]	Time 0.855 (0.768)	Data 0.001 (0.002)	Loss 2.1644 (1.7876)	Prec@1 44.531 (53.024)	Prec@5 75.000 (82.254)
Epoch: [83][4650/14090]	Time 0.752 (0.768)	Data 0.001 (0.002)	Loss 1.5703 (1.7875)	Prec@1 55.469 (53.023)	Prec@5 85.938 (82.255)
Epoch: [83][4660/14090]	Time 0.738 (0.768)	Data 0.001 (0.002)	Loss 1.9675 (1.7874)	Prec@1 50.000 (53.024)	Prec@5 77.344 (82.255)
Epoch: [83][4670/14090]	Time 0.762 (0.768)	Data 0.001 (0.002)	Loss 2.1079 (1.7875)	Prec@1 47.656 (53.026)	Prec@5 74.219 (82.254)
Epoch: [83][4680/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 1.7876 (1.7877)	Prec@1 51.562 (53.022)	Prec@5 85.938 (82.251)
Epoch: [83][4690/14090]	Time 0.763 (0.768)	Data 0.001 (0.002)	Loss 1.9342 (1.7877)	Prec@1 54.688 (53.023)	Prec@5 80.469 (82.249)
Epoch: [83][4700/14090]	Time 0.754 (0.768)	Data 0.001 (0.002)	Loss 1.6705 (1.7877)	Prec@1 49.219 (53.023)	Prec@5 85.938 (82.249)
Epoch: [83][4710/14090]	Time 0.861 (0.768)	Data 0.001 (0.002)	Loss 1.4646 (1.7875)	Prec@1 57.031 (53.027)	Prec@5 89.844 (82.254)
Epoch: [83][4720/14090]	Time 0.766 (0.768)	Data 0.001 (0.002)	Loss 1.6639 (1.7875)	Prec@1 55.469 (53.030)	Prec@5 83.594 (82.255)
Epoch: [83][4730/14090]	Time 0.788 (0.768)	Data 0.001 (0.002)	Loss 1.8015 (1.7874)	Prec@1 57.812 (53.031)	Prec@5 83.594 (82.258)
Epoch: [83][4740/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 1.7492 (1.7874)	Prec@1 54.688 (53.032)	Prec@5 84.375 (82.258)
Epoch: [83][4750/14090]	Time 0.724 (0.768)	Data 0.001 (0.002)	Loss 1.6760 (1.7874)	Prec@1 52.344 (53.034)	Prec@5 84.375 (82.258)
Epoch: [83][4760/14090]	Time 0.721 (0.768)	Data 0.000 (0.002)	Loss 1.8075 (1.7875)	Prec@1 50.781 (53.029)	Prec@5 80.469 (82.253)
Epoch: [83][4770/14090]	Time 0.756 (0.768)	Data 0.001 (0.002)	Loss 1.8707 (1.7874)	Prec@1 51.562 (53.033)	Prec@5 82.812 (82.254)
Epoch: [83][4780/14090]	Time 0.879 (0.768)	Data 0.002 (0.002)	Loss 1.6533 (1.7874)	Prec@1 60.938 (53.032)	Prec@5 80.469 (82.254)
Epoch: [83][4790/14090]	Time 0.738 (0.768)	Data 0.001 (0.002)	Loss 1.7550 (1.7875)	Prec@1 50.781 (53.027)	Prec@5 82.031 (82.251)
Epoch: [83][4800/14090]	Time 0.732 (0.768)	Data 0.001 (0.002)	Loss 2.0230 (1.7875)	Prec@1 49.219 (53.028)	Prec@5 82.031 (82.252)
Epoch: [83][4810/14090]	Time 0.756 (0.768)	Data 0.001 (0.002)	Loss 1.6457 (1.7875)	Prec@1 54.688 (53.030)	Prec@5 82.031 (82.250)
Epoch: [83][4820/14090]	Time 0.756 (0.768)	Data 0.001 (0.002)	Loss 1.6364 (1.7875)	Prec@1 60.156 (53.032)	Prec@5 80.469 (82.250)
Epoch: [83][4830/14090]	Time 0.746 (0.768)	Data 0.001 (0.002)	Loss 1.6751 (1.7877)	Prec@1 54.688 (53.028)	Prec@5 84.375 (82.248)
Epoch: [83][4840/14090]	Time 0.731 (0.768)	Data 0.001 (0.002)	Loss 1.8289 (1.7877)	Prec@1 50.000 (53.025)	Prec@5 81.250 (82.247)
Epoch: [83][4850/14090]	Time 0.860 (0.768)	Data 0.001 (0.002)	Loss 1.8254 (1.7877)	Prec@1 53.125 (53.026)	Prec@5 82.812 (82.249)
Epoch: [83][4860/14090]	Time 0.733 (0.768)	Data 0.001 (0.002)	Loss 1.6626 (1.7876)	Prec@1 56.250 (53.027)	Prec@5 82.031 (82.251)
Epoch: [83][4870/14090]	Time 0.730 (0.768)	Data 0.001 (0.002)	Loss 1.8524 (1.7876)	Prec@1 55.469 (53.028)	Prec@5 82.031 (82.252)
Epoch: [83][4880/14090]	Time 0.728 (0.768)	Data 0.001 (0.002)	Loss 1.8353 (1.7877)	Prec@1 51.562 (53.027)	Prec@5 82.031 (82.251)
Epoch: [83][4890/14090]	Time 0.739 (0.768)	Data 0.001 (0.002)	Loss 1.8952 (1.7877)	Prec@1 51.562 (53.027)	Prec@5 84.375 (82.251)
Epoch: [83][4900/14090]	Time 0.732 (0.768)	Data 0.001 (0.002)	Loss 1.7410 (1.7875)	Prec@1 50.781 (53.029)	Prec@5 78.906 (82.256)
Epoch: [83][4910/14090]	Time 0.724 (0.768)	Data 0.001 (0.002)	Loss 1.7368 (1.7874)	Prec@1 55.469 (53.030)	Prec@5 81.250 (82.255)
Epoch: [83][4920/14090]	Time 0.879 (0.768)	Data 0.001 (0.002)	Loss 2.0257 (1.7873)	Prec@1 49.219 (53.032)	Prec@5 81.250 (82.256)
Epoch: [83][4930/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 1.7186 (1.7872)	Prec@1 57.812 (53.036)	Prec@5 78.125 (82.258)
Epoch: [83][4940/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 1.7171 (1.7874)	Prec@1 53.125 (53.035)	Prec@5 85.938 (82.255)
Epoch: [83][4950/14090]	Time 0.760 (0.768)	Data 0.001 (0.002)	Loss 1.8218 (1.7874)	Prec@1 50.781 (53.033)	Prec@5 79.688 (82.256)
Epoch: [83][4960/14090]	Time 0.723 (0.767)	Data 0.001 (0.002)	Loss 1.8418 (1.7874)	Prec@1 50.781 (53.034)	Prec@5 81.250 (82.255)
Epoch: [83][4970/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 1.6534 (1.7873)	Prec@1 60.156 (53.037)	Prec@5 83.594 (82.257)
Epoch: [83][4980/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 1.8390 (1.7873)	Prec@1 49.219 (53.038)	Prec@5 82.812 (82.256)
Epoch: [83][4990/14090]	Time 0.861 (0.767)	Data 0.001 (0.002)	Loss 1.7497 (1.7873)	Prec@1 53.125 (53.038)	Prec@5 83.594 (82.258)
Epoch: [83][5000/14090]	Time 0.768 (0.767)	Data 0.001 (0.002)	Loss 1.7471 (1.7872)	Prec@1 57.812 (53.040)	Prec@5 83.594 (82.260)
Epoch: [83][5010/14090]	Time 0.774 (0.767)	Data 0.001 (0.002)	Loss 1.6597 (1.7872)	Prec@1 48.438 (53.035)	Prec@5 83.594 (82.259)
Epoch: [83][5020/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 1.8181 (1.7873)	Prec@1 50.000 (53.033)	Prec@5 85.938 (82.258)
Epoch: [83][5030/14090]	Time 0.773 (0.767)	Data 0.001 (0.002)	Loss 1.5890 (1.7872)	Prec@1 58.594 (53.030)	Prec@5 84.375 (82.258)
Epoch: [83][5040/14090]	Time 0.731 (0.767)	Data 0.001 (0.002)	Loss 1.7055 (1.7871)	Prec@1 57.031 (53.032)	Prec@5 89.062 (82.261)
Epoch: [83][5050/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 1.6862 (1.7870)	Prec@1 54.688 (53.033)	Prec@5 87.500 (82.262)
Epoch: [83][5060/14090]	Time 0.859 (0.767)	Data 0.001 (0.002)	Loss 1.7580 (1.7870)	Prec@1 57.812 (53.035)	Prec@5 83.594 (82.263)
Epoch: [83][5070/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 1.5349 (1.7869)	Prec@1 57.031 (53.033)	Prec@5 86.719 (82.264)
Epoch: [83][5080/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 1.4533 (1.7870)	Prec@1 60.938 (53.029)	Prec@5 85.938 (82.264)
Epoch: [83][5090/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 1.7222 (1.7869)	Prec@1 57.031 (53.032)	Prec@5 82.031 (82.266)
Epoch: [83][5100/14090]	Time 0.731 (0.767)	Data 0.001 (0.002)	Loss 1.7896 (1.7870)	Prec@1 53.906 (53.029)	Prec@5 81.250 (82.263)
Epoch: [83][5110/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 1.7717 (1.7871)	Prec@1 52.344 (53.024)	Prec@5 85.156 (82.262)
Epoch: [83][5120/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 1.6294 (1.7870)	Prec@1 62.500 (53.022)	Prec@5 82.031 (82.265)
Epoch: [83][5130/14090]	Time 0.829 (0.767)	Data 0.001 (0.002)	Loss 1.8540 (1.7872)	Prec@1 49.219 (53.017)	Prec@5 83.594 (82.262)
Epoch: [83][5140/14090]	Time 0.773 (0.767)	Data 0.001 (0.002)	Loss 1.8432 (1.7872)	Prec@1 52.344 (53.019)	Prec@5 78.125 (82.264)
Epoch: [83][5150/14090]	Time 0.727 (0.767)	Data 0.001 (0.002)	Loss 1.9172 (1.7871)	Prec@1 46.875 (53.015)	Prec@5 81.250 (82.264)
Epoch: [83][5160/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 1.6889 (1.7870)	Prec@1 55.469 (53.013)	Prec@5 83.594 (82.266)
Epoch: [83][5170/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 1.6992 (1.7870)	Prec@1 52.344 (53.016)	Prec@5 84.375 (82.267)
Epoch: [83][5180/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 1.6079 (1.7868)	Prec@1 52.344 (53.020)	Prec@5 84.375 (82.267)
Epoch: [83][5190/14090]	Time 0.780 (0.767)	Data 0.001 (0.002)	Loss 1.7127 (1.7869)	Prec@1 54.688 (53.017)	Prec@5 82.031 (82.264)
Epoch: [83][5200/14090]	Time 0.855 (0.767)	Data 0.001 (0.002)	Loss 1.6680 (1.7870)	Prec@1 54.688 (53.015)	Prec@5 82.812 (82.262)
Epoch: [83][5210/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 1.8299 (1.7870)	Prec@1 57.812 (53.017)	Prec@5 78.125 (82.260)
Epoch: [83][5220/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 2.0888 (1.7870)	Prec@1 45.312 (53.017)	Prec@5 79.688 (82.261)
Epoch: [83][5230/14090]	Time 0.757 (0.767)	Data 0.001 (0.002)	Loss 1.8442 (1.7870)	Prec@1 53.125 (53.016)	Prec@5 79.688 (82.261)
Epoch: [83][5240/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 1.8006 (1.7869)	Prec@1 49.219 (53.018)	Prec@5 80.469 (82.263)
Epoch: [83][5250/14090]	Time 0.764 (0.767)	Data 0.001 (0.002)	Loss 1.6619 (1.7870)	Prec@1 54.688 (53.014)	Prec@5 85.938 (82.260)
Epoch: [83][5260/14090]	Time 0.792 (0.767)	Data 0.001 (0.002)	Loss 1.7508 (1.7870)	Prec@1 53.906 (53.016)	Prec@5 81.250 (82.262)
Epoch: [83][5270/14090]	Time 0.849 (0.767)	Data 0.001 (0.002)	Loss 1.7047 (1.7868)	Prec@1 57.031 (53.019)	Prec@5 84.375 (82.265)
Epoch: [83][5280/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 1.9183 (1.7869)	Prec@1 50.781 (53.018)	Prec@5 77.344 (82.264)
Epoch: [83][5290/14090]	Time 0.731 (0.767)	Data 0.001 (0.002)	Loss 1.7329 (1.7869)	Prec@1 51.562 (53.017)	Prec@5 82.812 (82.262)
Epoch: [83][5300/14090]	Time 0.731 (0.767)	Data 0.001 (0.002)	Loss 1.6625 (1.7868)	Prec@1 51.562 (53.018)	Prec@5 84.375 (82.264)
Epoch: [83][5310/14090]	Time 0.762 (0.767)	Data 0.001 (0.002)	Loss 1.8696 (1.7870)	Prec@1 50.000 (53.014)	Prec@5 77.344 (82.260)
Epoch: [83][5320/14090]	Time 0.761 (0.767)	Data 0.001 (0.002)	Loss 1.7180 (1.7870)	Prec@1 52.344 (53.013)	Prec@5 86.719 (82.258)
Epoch: [83][5330/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 1.7397 (1.7869)	Prec@1 50.781 (53.014)	Prec@5 82.031 (82.259)
Epoch: [83][5340/14090]	Time 0.900 (0.767)	Data 0.001 (0.002)	Loss 1.7574 (1.7868)	Prec@1 53.906 (53.017)	Prec@5 85.938 (82.260)
Epoch: [83][5350/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 1.8402 (1.7869)	Prec@1 50.781 (53.016)	Prec@5 83.594 (82.257)
Epoch: [83][5360/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 1.8775 (1.7870)	Prec@1 51.562 (53.014)	Prec@5 80.469 (82.254)
Epoch: [83][5370/14090]	Time 0.773 (0.767)	Data 0.001 (0.002)	Loss 1.6967 (1.7870)	Prec@1 56.250 (53.017)	Prec@5 82.031 (82.255)
Epoch: [83][5380/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 1.7619 (1.7871)	Prec@1 53.906 (53.014)	Prec@5 82.812 (82.251)
Epoch: [83][5390/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 1.7179 (1.7872)	Prec@1 53.125 (53.015)	Prec@5 81.250 (82.253)
Epoch: [83][5400/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 1.9134 (1.7873)	Prec@1 48.438 (53.011)	Prec@5 80.469 (82.253)
Epoch: [83][5410/14090]	Time 0.892 (0.767)	Data 0.001 (0.002)	Loss 1.6502 (1.7874)	Prec@1 56.250 (53.009)	Prec@5 87.500 (82.253)
Epoch: [83][5420/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 2.0140 (1.7873)	Prec@1 49.219 (53.008)	Prec@5 80.469 (82.252)
Epoch: [83][5430/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 1.8468 (1.7873)	Prec@1 56.250 (53.010)	Prec@5 82.031 (82.254)
Epoch: [83][5440/14090]	Time 0.722 (0.767)	Data 0.001 (0.002)	Loss 2.0136 (1.7875)	Prec@1 48.438 (53.004)	Prec@5 78.906 (82.252)
Epoch: [83][5450/14090]	Time 0.783 (0.767)	Data 0.001 (0.002)	Loss 2.0154 (1.7877)	Prec@1 49.219 (53.001)	Prec@5 79.688 (82.251)
Epoch: [83][5460/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 1.9422 (1.7878)	Prec@1 50.000 (53.001)	Prec@5 80.469 (82.249)
Epoch: [83][5470/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 1.7028 (1.7878)	Prec@1 55.469 (53.002)	Prec@5 80.469 (82.250)
Epoch: [83][5480/14090]	Time 0.863 (0.767)	Data 0.001 (0.002)	Loss 2.1908 (1.7878)	Prec@1 48.438 (53.000)	Prec@5 73.438 (82.248)
Epoch: [83][5490/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 1.9085 (1.7877)	Prec@1 52.344 (53.001)	Prec@5 80.469 (82.250)
Epoch: [83][5500/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 1.6816 (1.7878)	Prec@1 55.469 (53.001)	Prec@5 85.938 (82.249)
Epoch: [83][5510/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 1.7919 (1.7878)	Prec@1 56.250 (52.999)	Prec@5 85.938 (82.251)
Epoch: [83][5520/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 1.8882 (1.7879)	Prec@1 48.438 (52.997)	Prec@5 79.688 (82.252)
Epoch: [83][5530/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 1.8237 (1.7880)	Prec@1 50.781 (52.991)	Prec@5 80.469 (82.249)
Epoch: [83][5540/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 2.0931 (1.7880)	Prec@1 44.531 (52.992)	Prec@5 76.562 (82.248)
Epoch: [83][5550/14090]	Time 0.869 (0.767)	Data 0.001 (0.002)	Loss 1.6079 (1.7880)	Prec@1 53.906 (52.991)	Prec@5 85.156 (82.247)
Epoch: [83][5560/14090]	Time 0.724 (0.767)	Data 0.001 (0.002)	Loss 1.7557 (1.7880)	Prec@1 54.688 (52.990)	Prec@5 79.688 (82.245)
Epoch: [83][5570/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 1.9189 (1.7879)	Prec@1 50.781 (52.993)	Prec@5 81.250 (82.248)
Epoch: [83][5580/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 1.4593 (1.7880)	Prec@1 61.719 (52.993)	Prec@5 85.938 (82.247)
Epoch: [83][5590/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 1.8698 (1.7879)	Prec@1 50.000 (52.996)	Prec@5 75.781 (82.246)
Epoch: [83][5600/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 1.7102 (1.7878)	Prec@1 58.594 (53.001)	Prec@5 82.812 (82.248)
Epoch: [83][5610/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 1.6264 (1.7878)	Prec@1 55.469 (52.997)	Prec@5 87.500 (82.248)
Epoch: [83][5620/14090]	Time 0.864 (0.767)	Data 0.001 (0.002)	Loss 1.6473 (1.7878)	Prec@1 56.250 (52.998)	Prec@5 85.938 (82.249)
Epoch: [83][5630/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 1.8197 (1.7879)	Prec@1 55.469 (52.996)	Prec@5 78.906 (82.247)
Epoch: [83][5640/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 1.6872 (1.7879)	Prec@1 60.156 (52.997)	Prec@5 83.594 (82.245)
Epoch: [83][5650/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 1.4925 (1.7879)	Prec@1 59.375 (52.996)	Prec@5 86.719 (82.245)
Epoch: [83][5660/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 1.6897 (1.7878)	Prec@1 53.125 (52.997)	Prec@5 83.594 (82.247)
Epoch: [83][5670/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 2.0826 (1.7880)	Prec@1 46.875 (52.992)	Prec@5 77.344 (82.246)
Epoch: [83][5680/14090]	Time 0.786 (0.767)	Data 0.001 (0.002)	Loss 1.5997 (1.7878)	Prec@1 57.031 (52.997)	Prec@5 82.031 (82.247)
Epoch: [83][5690/14090]	Time 0.851 (0.767)	Data 0.001 (0.002)	Loss 1.7280 (1.7877)	Prec@1 46.875 (52.999)	Prec@5 85.938 (82.250)
Epoch: [83][5700/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 1.8095 (1.7876)	Prec@1 50.781 (52.999)	Prec@5 80.469 (82.253)
Epoch: [83][5710/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 2.0277 (1.7877)	Prec@1 46.875 (52.999)	Prec@5 78.906 (82.251)
Epoch: [83][5720/14090]	Time 0.778 (0.767)	Data 0.001 (0.002)	Loss 2.0151 (1.7878)	Prec@1 50.781 (52.999)	Prec@5 78.125 (82.250)
Epoch: [83][5730/14090]	Time 0.724 (0.767)	Data 0.001 (0.002)	Loss 1.7466 (1.7878)	Prec@1 53.125 (52.999)	Prec@5 81.250 (82.247)
Epoch: [83][5740/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 1.6223 (1.7877)	Prec@1 67.969 (53.003)	Prec@5 81.250 (82.248)
Epoch: [83][5750/14090]	Time 0.770 (0.767)	Data 0.001 (0.002)	Loss 1.7690 (1.7877)	Prec@1 53.906 (53.002)	Prec@5 82.031 (82.248)
Epoch: [83][5760/14090]	Time 0.880 (0.767)	Data 0.001 (0.002)	Loss 1.4220 (1.7876)	Prec@1 60.156 (53.001)	Prec@5 89.062 (82.248)
Epoch: [83][5770/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 1.5404 (1.7876)	Prec@1 56.250 (53.000)	Prec@5 87.500 (82.251)
Epoch: [83][5780/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 1.6438 (1.7875)	Prec@1 51.562 (53.000)	Prec@5 85.156 (82.253)
Epoch: [83][5790/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 2.0769 (1.7875)	Prec@1 46.875 (53.001)	Prec@5 78.906 (82.254)
Epoch: [83][5800/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 2.0159 (1.7874)	Prec@1 45.312 (53.002)	Prec@5 77.344 (82.256)
Epoch: [83][5810/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 1.6960 (1.7872)	Prec@1 50.781 (53.005)	Prec@5 86.719 (82.259)
Epoch: [83][5820/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 1.7556 (1.7872)	Prec@1 54.688 (53.001)	Prec@5 81.250 (82.262)
Epoch: [83][5830/14090]	Time 0.870 (0.767)	Data 0.001 (0.002)	Loss 1.6514 (1.7872)	Prec@1 52.344 (53.005)	Prec@5 85.156 (82.261)
Epoch: [83][5840/14090]	Time 0.767 (0.767)	Data 0.001 (0.002)	Loss 1.7213 (1.7871)	Prec@1 53.906 (53.008)	Prec@5 85.156 (82.262)
Epoch: [83][5850/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 1.3720 (1.7871)	Prec@1 61.719 (53.009)	Prec@5 90.625 (82.262)
Epoch: [83][5860/14090]	Time 0.771 (0.767)	Data 0.001 (0.002)	Loss 1.8705 (1.7873)	Prec@1 48.438 (53.004)	Prec@5 83.594 (82.261)
Epoch: [83][5870/14090]	Time 0.725 (0.767)	Data 0.001 (0.002)	Loss 1.6276 (1.7874)	Prec@1 54.688 (53.003)	Prec@5 85.938 (82.259)
Epoch: [83][5880/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 2.0223 (1.7874)	Prec@1 47.656 (53.005)	Prec@5 77.344 (82.261)
Epoch: [83][5890/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 1.7692 (1.7874)	Prec@1 56.250 (53.004)	Prec@5 82.031 (82.260)
Epoch: [83][5900/14090]	Time 0.870 (0.767)	Data 0.001 (0.002)	Loss 1.9017 (1.7875)	Prec@1 50.000 (53.002)	Prec@5 82.812 (82.259)
Epoch: [83][5910/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 1.7547 (1.7876)	Prec@1 53.906 (53.000)	Prec@5 84.375 (82.259)
Epoch: [83][5920/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 1.6496 (1.7875)	Prec@1 56.250 (53.001)	Prec@5 85.938 (82.262)
Epoch: [83][5930/14090]	Time 0.789 (0.767)	Data 0.001 (0.002)	Loss 1.9794 (1.7876)	Prec@1 49.219 (52.995)	Prec@5 78.125 (82.261)
Epoch: [83][5940/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 1.6312 (1.7875)	Prec@1 54.688 (52.994)	Prec@5 85.156 (82.263)
Epoch: [83][5950/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 1.8045 (1.7875)	Prec@1 51.562 (52.995)	Prec@5 81.250 (82.263)
Epoch: [83][5960/14090]	Time 0.774 (0.767)	Data 0.001 (0.002)	Loss 1.8020 (1.7876)	Prec@1 50.000 (52.995)	Prec@5 86.719 (82.262)
Epoch: [83][5970/14090]	Time 0.881 (0.767)	Data 0.001 (0.002)	Loss 1.7841 (1.7875)	Prec@1 51.562 (52.997)	Prec@5 78.125 (82.263)
Epoch: [83][5980/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 1.6883 (1.7875)	Prec@1 60.938 (52.997)	Prec@5 84.375 (82.262)
Epoch: [83][5990/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 1.6361 (1.7875)	Prec@1 53.906 (52.995)	Prec@5 84.375 (82.262)
Epoch: [83][6000/14090]	Time 0.731 (0.767)	Data 0.001 (0.002)	Loss 1.8483 (1.7876)	Prec@1 50.000 (52.994)	Prec@5 78.906 (82.261)
Epoch: [83][6010/14090]	Time 0.776 (0.767)	Data 0.001 (0.002)	Loss 1.7291 (1.7877)	Prec@1 51.562 (52.993)	Prec@5 86.719 (82.260)
Epoch: [83][6020/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 1.8381 (1.7878)	Prec@1 49.219 (52.991)	Prec@5 82.812 (82.258)
Epoch: [83][6030/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 1.6083 (1.7878)	Prec@1 54.688 (52.994)	Prec@5 87.500 (82.258)
Epoch: [83][6040/14090]	Time 0.851 (0.767)	Data 0.001 (0.002)	Loss 1.9504 (1.7880)	Prec@1 46.094 (52.990)	Prec@5 80.469 (82.253)
Epoch: [83][6050/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 1.9061 (1.7881)	Prec@1 53.125 (52.986)	Prec@5 76.562 (82.252)
Epoch: [83][6060/14090]	Time 0.787 (0.767)	Data 0.001 (0.002)	Loss 1.9322 (1.7881)	Prec@1 46.094 (52.987)	Prec@5 85.156 (82.252)
Epoch: [83][6070/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 1.9169 (1.7881)	Prec@1 47.656 (52.989)	Prec@5 78.906 (82.252)
Epoch: [83][6080/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 2.0373 (1.7881)	Prec@1 47.656 (52.987)	Prec@5 77.344 (82.250)
Epoch: [83][6090/14090]	Time 0.769 (0.767)	Data 0.001 (0.002)	Loss 1.6789 (1.7881)	Prec@1 49.219 (52.985)	Prec@5 83.594 (82.250)
Epoch: [83][6100/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 1.8571 (1.7880)	Prec@1 53.906 (52.987)	Prec@5 84.375 (82.252)
Epoch: [83][6110/14090]	Time 0.857 (0.767)	Data 0.001 (0.002)	Loss 1.5413 (1.7879)	Prec@1 63.281 (52.989)	Prec@5 87.500 (82.253)
Epoch: [83][6120/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 1.8524 (1.7879)	Prec@1 56.250 (52.987)	Prec@5 82.031 (82.255)
Epoch: [83][6130/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 1.6769 (1.7879)	Prec@1 53.906 (52.987)	Prec@5 83.594 (82.256)
Epoch: [83][6140/14090]	Time 0.724 (0.767)	Data 0.001 (0.002)	Loss 1.9545 (1.7878)	Prec@1 44.531 (52.988)	Prec@5 83.594 (82.259)
Epoch: [83][6150/14090]	Time 0.731 (0.767)	Data 0.001 (0.002)	Loss 1.6182 (1.7878)	Prec@1 59.375 (52.989)	Prec@5 85.156 (82.258)
Epoch: [83][6160/14090]	Time 0.762 (0.767)	Data 0.001 (0.002)	Loss 1.8640 (1.7879)	Prec@1 51.562 (52.985)	Prec@5 81.250 (82.255)
Epoch: [83][6170/14090]	Time 0.781 (0.767)	Data 0.001 (0.002)	Loss 1.9169 (1.7879)	Prec@1 50.781 (52.986)	Prec@5 80.469 (82.256)
Epoch: [83][6180/14090]	Time 0.894 (0.767)	Data 0.001 (0.002)	Loss 1.5950 (1.7881)	Prec@1 58.594 (52.983)	Prec@5 86.719 (82.255)
Epoch: [83][6190/14090]	Time 0.721 (0.767)	Data 0.001 (0.002)	Loss 1.8107 (1.7880)	Prec@1 53.906 (52.983)	Prec@5 82.812 (82.257)
Epoch: [83][6200/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 2.0770 (1.7880)	Prec@1 48.438 (52.981)	Prec@5 75.781 (82.256)
Epoch: [83][6210/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 1.8988 (1.7881)	Prec@1 48.438 (52.978)	Prec@5 80.469 (82.256)
Epoch: [83][6220/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 1.7840 (1.7882)	Prec@1 56.250 (52.974)	Prec@5 81.250 (82.253)
Epoch: [83][6230/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 1.7304 (1.7883)	Prec@1 53.906 (52.973)	Prec@5 84.375 (82.254)
Epoch: [83][6240/14090]	Time 0.728 (0.767)	Data 0.001 (0.002)	Loss 1.8224 (1.7883)	Prec@1 53.125 (52.971)	Prec@5 78.125 (82.252)
Epoch: [83][6250/14090]	Time 0.837 (0.767)	Data 0.001 (0.002)	Loss 1.7759 (1.7883)	Prec@1 53.906 (52.971)	Prec@5 85.938 (82.252)
Epoch: [83][6260/14090]	Time 0.722 (0.767)	Data 0.001 (0.002)	Loss 2.0683 (1.7883)	Prec@1 47.656 (52.975)	Prec@5 78.906 (82.251)
Epoch: [83][6270/14090]	Time 0.769 (0.767)	Data 0.001 (0.002)	Loss 1.7866 (1.7885)	Prec@1 50.781 (52.974)	Prec@5 85.156 (82.249)
Epoch: [83][6280/14090]	Time 0.778 (0.767)	Data 0.001 (0.002)	Loss 1.9140 (1.7885)	Prec@1 50.000 (52.974)	Prec@5 75.000 (82.246)
Epoch: [83][6290/14090]	Time 0.723 (0.767)	Data 0.001 (0.002)	Loss 1.7202 (1.7886)	Prec@1 60.156 (52.973)	Prec@5 83.594 (82.244)
Epoch: [83][6300/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 1.8045 (1.7885)	Prec@1 52.344 (52.973)	Prec@5 81.250 (82.246)
Epoch: [83][6310/14090]	Time 0.772 (0.767)	Data 0.001 (0.002)	Loss 1.5321 (1.7884)	Prec@1 55.469 (52.974)	Prec@5 89.844 (82.249)
Epoch: [83][6320/14090]	Time 0.854 (0.767)	Data 0.001 (0.002)	Loss 1.7706 (1.7885)	Prec@1 55.469 (52.974)	Prec@5 82.031 (82.249)
Epoch: [83][6330/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 1.6882 (1.7885)	Prec@1 55.469 (52.976)	Prec@5 83.594 (82.247)
Epoch: [83][6340/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 1.9789 (1.7886)	Prec@1 52.344 (52.973)	Prec@5 78.125 (82.246)
Epoch: [83][6350/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 1.6927 (1.7887)	Prec@1 55.469 (52.971)	Prec@5 82.812 (82.246)
Epoch: [83][6360/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 1.9256 (1.7886)	Prec@1 48.438 (52.972)	Prec@5 80.469 (82.248)
Epoch: [83][6370/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 1.9902 (1.7886)	Prec@1 50.000 (52.972)	Prec@5 80.469 (82.248)
Epoch: [83][6380/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 1.8170 (1.7888)	Prec@1 50.000 (52.972)	Prec@5 87.500 (82.246)
Epoch: [83][6390/14090]	Time 0.841 (0.767)	Data 0.001 (0.002)	Loss 1.8673 (1.7888)	Prec@1 49.219 (52.969)	Prec@5 84.375 (82.248)
Epoch: [83][6400/14090]	Time 0.719 (0.767)	Data 0.001 (0.002)	Loss 1.6151 (1.7888)	Prec@1 54.688 (52.966)	Prec@5 86.719 (82.248)
Epoch: [83][6410/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 1.9436 (1.7887)	Prec@1 50.000 (52.968)	Prec@5 79.688 (82.249)
Epoch: [83][6420/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 2.0969 (1.7888)	Prec@1 47.656 (52.964)	Prec@5 75.000 (82.248)
Epoch: [83][6430/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 1.8954 (1.7889)	Prec@1 52.344 (52.960)	Prec@5 79.688 (82.247)
Epoch: [83][6440/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 1.5093 (1.7887)	Prec@1 58.594 (52.965)	Prec@5 83.594 (82.250)
Epoch: [83][6450/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 1.6953 (1.7887)	Prec@1 58.594 (52.967)	Prec@5 83.594 (82.250)
Epoch: [83][6460/14090]	Time 0.880 (0.767)	Data 0.001 (0.002)	Loss 1.8721 (1.7888)	Prec@1 47.656 (52.963)	Prec@5 82.031 (82.248)
Epoch: [83][6470/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 1.8620 (1.7888)	Prec@1 49.219 (52.964)	Prec@5 85.938 (82.247)
Epoch: [83][6480/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 1.7487 (1.7888)	Prec@1 58.594 (52.964)	Prec@5 78.125 (82.246)
Epoch: [83][6490/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 1.7528 (1.7888)	Prec@1 55.469 (52.966)	Prec@5 82.812 (82.245)
Epoch: [83][6500/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 1.6829 (1.7888)	Prec@1 57.031 (52.966)	Prec@5 81.250 (82.246)
Epoch: [83][6510/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.2173 (1.7888)	Prec@1 39.062 (52.962)	Prec@5 71.875 (82.244)
Epoch: [83][6520/14090]	Time 0.779 (0.767)	Data 0.001 (0.002)	Loss 1.7664 (1.7888)	Prec@1 53.906 (52.963)	Prec@5 81.250 (82.246)
Epoch: [83][6530/14090]	Time 0.881 (0.767)	Data 0.001 (0.002)	Loss 1.7064 (1.7888)	Prec@1 57.031 (52.961)	Prec@5 82.812 (82.246)
Epoch: [83][6540/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 1.8601 (1.7887)	Prec@1 53.125 (52.962)	Prec@5 80.469 (82.246)
Epoch: [83][6550/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 1.5384 (1.7887)	Prec@1 57.031 (52.963)	Prec@5 85.156 (82.248)
Epoch: [83][6560/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 1.9908 (1.7885)	Prec@1 43.750 (52.964)	Prec@5 80.469 (82.249)
Epoch: [83][6570/14090]	Time 0.727 (0.767)	Data 0.001 (0.002)	Loss 2.2190 (1.7886)	Prec@1 42.969 (52.962)	Prec@5 73.438 (82.248)
Epoch: [83][6580/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 1.4148 (1.7885)	Prec@1 58.594 (52.961)	Prec@5 85.938 (82.250)
Epoch: [83][6590/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 2.0746 (1.7885)	Prec@1 46.094 (52.963)	Prec@5 75.000 (82.252)
Epoch: [83][6600/14090]	Time 0.879 (0.767)	Data 0.001 (0.002)	Loss 1.7183 (1.7885)	Prec@1 53.125 (52.961)	Prec@5 85.938 (82.253)
Epoch: [83][6610/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 1.6656 (1.7885)	Prec@1 60.156 (52.961)	Prec@5 84.375 (82.254)
Epoch: [83][6620/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 1.7427 (1.7885)	Prec@1 51.562 (52.960)	Prec@5 85.938 (82.252)
Epoch: [83][6630/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 1.7389 (1.7885)	Prec@1 60.156 (52.964)	Prec@5 80.469 (82.253)
Epoch: [83][6640/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 1.6595 (1.7885)	Prec@1 55.469 (52.963)	Prec@5 84.375 (82.251)
Epoch: [83][6650/14090]	Time 0.762 (0.767)	Data 0.001 (0.002)	Loss 1.6093 (1.7886)	Prec@1 57.031 (52.960)	Prec@5 83.594 (82.251)
Epoch: [83][6660/14090]	Time 0.772 (0.767)	Data 0.001 (0.002)	Loss 1.4392 (1.7886)	Prec@1 60.156 (52.961)	Prec@5 85.938 (82.250)
Epoch: [83][6670/14090]	Time 0.864 (0.767)	Data 0.001 (0.002)	Loss 1.6202 (1.7887)	Prec@1 53.125 (52.959)	Prec@5 85.156 (82.248)
Epoch: [83][6680/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 1.7953 (1.7887)	Prec@1 51.562 (52.956)	Prec@5 83.594 (82.248)
Epoch: [83][6690/14090]	Time 0.778 (0.767)	Data 0.001 (0.002)	Loss 1.8350 (1.7887)	Prec@1 54.688 (52.956)	Prec@5 78.906 (82.248)
Epoch: [83][6700/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 1.5131 (1.7887)	Prec@1 58.594 (52.959)	Prec@5 86.719 (82.248)
Epoch: [83][6710/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 1.8850 (1.7887)	Prec@1 51.562 (52.958)	Prec@5 81.250 (82.249)
Epoch: [83][6720/14090]	Time 0.723 (0.767)	Data 0.001 (0.002)	Loss 1.8748 (1.7887)	Prec@1 49.219 (52.955)	Prec@5 80.469 (82.248)
Epoch: [83][6730/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 1.5816 (1.7887)	Prec@1 57.812 (52.955)	Prec@5 81.250 (82.248)
Epoch: [83][6740/14090]	Time 0.847 (0.767)	Data 0.001 (0.002)	Loss 1.7022 (1.7888)	Prec@1 60.156 (52.953)	Prec@5 81.250 (82.245)
Epoch: [83][6750/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 2.2249 (1.7890)	Prec@1 46.094 (52.953)	Prec@5 74.219 (82.242)
Epoch: [83][6760/14090]	Time 0.725 (0.767)	Data 0.001 (0.002)	Loss 1.9214 (1.7889)	Prec@1 49.219 (52.954)	Prec@5 82.812 (82.243)
Epoch: [83][6770/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 1.8577 (1.7891)	Prec@1 50.000 (52.953)	Prec@5 79.688 (82.240)
Epoch: [83][6780/14090]	Time 0.778 (0.767)	Data 0.001 (0.002)	Loss 1.9953 (1.7891)	Prec@1 55.469 (52.953)	Prec@5 71.875 (82.239)
Epoch: [83][6790/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 1.7865 (1.7891)	Prec@1 54.688 (52.953)	Prec@5 85.938 (82.240)
Epoch: [83][6800/14090]	Time 0.781 (0.767)	Data 0.001 (0.002)	Loss 1.8493 (1.7892)	Prec@1 49.219 (52.950)	Prec@5 82.031 (82.240)
Epoch: [83][6810/14090]	Time 0.880 (0.767)	Data 0.001 (0.002)	Loss 1.9245 (1.7891)	Prec@1 52.344 (52.950)	Prec@5 78.906 (82.242)
Epoch: [83][6820/14090]	Time 0.760 (0.767)	Data 0.001 (0.002)	Loss 1.5200 (1.7890)	Prec@1 60.156 (52.950)	Prec@5 87.500 (82.243)
Epoch: [83][6830/14090]	Time 0.776 (0.767)	Data 0.001 (0.002)	Loss 1.7726 (1.7890)	Prec@1 55.469 (52.950)	Prec@5 79.688 (82.241)
Epoch: [83][6840/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 1.4903 (1.7891)	Prec@1 59.375 (52.949)	Prec@5 87.500 (82.239)
Epoch: [83][6850/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 1.7185 (1.7891)	Prec@1 51.562 (52.948)	Prec@5 83.594 (82.240)
Epoch: [83][6860/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 2.0111 (1.7891)	Prec@1 52.344 (52.948)	Prec@5 78.125 (82.241)
Epoch: [83][6870/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 1.6802 (1.7892)	Prec@1 59.375 (52.949)	Prec@5 82.812 (82.239)
Epoch: [83][6880/14090]	Time 0.889 (0.767)	Data 0.001 (0.002)	Loss 1.7164 (1.7892)	Prec@1 53.125 (52.947)	Prec@5 83.594 (82.237)
Epoch: [83][6890/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 1.9012 (1.7892)	Prec@1 53.906 (52.946)	Prec@5 80.469 (82.238)
Epoch: [83][6900/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 1.7842 (1.7892)	Prec@1 55.469 (52.947)	Prec@5 78.125 (82.238)
Epoch: [83][6910/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 2.0009 (1.7892)	Prec@1 47.656 (52.946)	Prec@5 75.000 (82.237)
Epoch: [83][6920/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 1.8777 (1.7893)	Prec@1 52.344 (52.944)	Prec@5 81.250 (82.237)
Epoch: [83][6930/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 2.0440 (1.7894)	Prec@1 45.312 (52.941)	Prec@5 79.688 (82.237)
Epoch: [83][6940/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 1.7869 (1.7894)	Prec@1 53.906 (52.946)	Prec@5 81.250 (82.235)
Epoch: [83][6950/14090]	Time 0.838 (0.767)	Data 0.001 (0.002)	Loss 1.6976 (1.7892)	Prec@1 53.906 (52.949)	Prec@5 79.688 (82.235)
Epoch: [83][6960/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 1.7880 (1.7895)	Prec@1 48.438 (52.945)	Prec@5 85.938 (82.232)
Epoch: [83][6970/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 2.0803 (1.7895)	Prec@1 44.531 (52.943)	Prec@5 79.688 (82.231)
Epoch: [83][6980/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 1.8333 (1.7895)	Prec@1 55.469 (52.944)	Prec@5 80.469 (82.232)
Epoch: [83][6990/14090]	Time 0.763 (0.767)	Data 0.001 (0.002)	Loss 1.8225 (1.7895)	Prec@1 51.562 (52.945)	Prec@5 81.250 (82.232)
Epoch: [83][7000/14090]	Time 0.727 (0.767)	Data 0.001 (0.002)	Loss 1.9797 (1.7895)	Prec@1 50.000 (52.948)	Prec@5 78.906 (82.231)
Epoch: [83][7010/14090]	Time 0.781 (0.767)	Data 0.001 (0.002)	Loss 1.8889 (1.7895)	Prec@1 48.438 (52.947)	Prec@5 78.125 (82.229)
Epoch: [83][7020/14090]	Time 0.871 (0.767)	Data 0.001 (0.002)	Loss 1.8162 (1.7896)	Prec@1 54.688 (52.949)	Prec@5 82.031 (82.225)
Epoch: [83][7030/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 1.7827 (1.7895)	Prec@1 48.438 (52.948)	Prec@5 83.594 (82.224)
Epoch: [83][7040/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 1.8923 (1.7895)	Prec@1 53.125 (52.946)	Prec@5 78.125 (82.225)
Epoch: [83][7050/14090]	Time 0.779 (0.767)	Data 0.001 (0.002)	Loss 1.7377 (1.7895)	Prec@1 49.219 (52.945)	Prec@5 82.812 (82.224)
Epoch: [83][7060/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 2.0349 (1.7896)	Prec@1 47.656 (52.944)	Prec@5 80.469 (82.222)
Epoch: [83][7070/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 1.8989 (1.7898)	Prec@1 46.094 (52.939)	Prec@5 79.688 (82.220)
Epoch: [83][7080/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 1.8519 (1.7898)	Prec@1 51.562 (52.939)	Prec@5 79.688 (82.221)
Epoch: [83][7090/14090]	Time 0.848 (0.767)	Data 0.001 (0.002)	Loss 1.7753 (1.7898)	Prec@1 54.688 (52.937)	Prec@5 83.594 (82.220)
Epoch: [83][7100/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 1.7480 (1.7899)	Prec@1 54.688 (52.937)	Prec@5 84.375 (82.218)
Epoch: [83][7110/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 1.5797 (1.7898)	Prec@1 57.812 (52.936)	Prec@5 85.156 (82.219)
Epoch: [83][7120/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 1.9266 (1.7899)	Prec@1 49.219 (52.933)	Prec@5 81.250 (82.218)
Epoch: [83][7130/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 1.4975 (1.7899)	Prec@1 62.500 (52.934)	Prec@5 88.281 (82.221)
Epoch: [83][7140/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 1.9142 (1.7899)	Prec@1 48.438 (52.932)	Prec@5 79.688 (82.219)
Epoch: [83][7150/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 1.7212 (1.7898)	Prec@1 57.031 (52.934)	Prec@5 82.031 (82.222)
Epoch: [83][7160/14090]	Time 0.841 (0.767)	Data 0.001 (0.002)	Loss 2.0758 (1.7898)	Prec@1 47.656 (52.933)	Prec@5 76.562 (82.220)
Epoch: [83][7170/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 1.6660 (1.7898)	Prec@1 51.562 (52.928)	Prec@5 84.375 (82.222)
Epoch: [83][7180/14090]	Time 0.728 (0.767)	Data 0.001 (0.002)	Loss 1.8182 (1.7897)	Prec@1 56.250 (52.931)	Prec@5 85.156 (82.223)
Epoch: [83][7190/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 1.5865 (1.7897)	Prec@1 57.031 (52.930)	Prec@5 85.156 (82.224)
Epoch: [83][7200/14090]	Time 0.777 (0.767)	Data 0.001 (0.002)	Loss 1.8022 (1.7898)	Prec@1 57.812 (52.929)	Prec@5 84.375 (82.223)
Epoch: [83][7210/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 1.8481 (1.7899)	Prec@1 53.125 (52.928)	Prec@5 85.156 (82.223)
Epoch: [83][7220/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 2.0633 (1.7899)	Prec@1 52.344 (52.927)	Prec@5 78.906 (82.223)
Epoch: [83][7230/14090]	Time 0.878 (0.767)	Data 0.001 (0.002)	Loss 1.6552 (1.7899)	Prec@1 53.125 (52.927)	Prec@5 82.812 (82.223)
Epoch: [83][7240/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 1.7153 (1.7899)	Prec@1 53.906 (52.929)	Prec@5 82.031 (82.222)
Epoch: [83][7250/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 2.0735 (1.7899)	Prec@1 47.656 (52.928)	Prec@5 78.125 (82.221)
Epoch: [83][7260/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 1.9368 (1.7900)	Prec@1 50.781 (52.926)	Prec@5 76.562 (82.222)
Epoch: [83][7270/14090]	Time 0.776 (0.767)	Data 0.001 (0.002)	Loss 1.7693 (1.7899)	Prec@1 51.562 (52.928)	Prec@5 82.812 (82.222)
Epoch: [83][7280/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 1.8768 (1.7898)	Prec@1 50.781 (52.931)	Prec@5 81.250 (82.222)
Epoch: [83][7290/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 1.7376 (1.7899)	Prec@1 57.812 (52.931)	Prec@5 82.031 (82.220)
Epoch: [83][7300/14090]	Time 0.838 (0.767)	Data 0.001 (0.002)	Loss 1.6468 (1.7899)	Prec@1 53.906 (52.929)	Prec@5 85.938 (82.220)
Epoch: [83][7310/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 2.0391 (1.7899)	Prec@1 46.875 (52.930)	Prec@5 79.688 (82.220)
Epoch: [83][7320/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 1.5583 (1.7899)	Prec@1 64.062 (52.930)	Prec@5 87.500 (82.219)
Epoch: [83][7330/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 2.2156 (1.7899)	Prec@1 44.531 (52.930)	Prec@5 77.344 (82.217)
Epoch: [83][7340/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 1.8061 (1.7899)	Prec@1 52.344 (52.932)	Prec@5 82.031 (82.218)
Epoch: [83][7350/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 1.9999 (1.7899)	Prec@1 45.312 (52.929)	Prec@5 78.906 (82.216)
Epoch: [83][7360/14090]	Time 0.743 (0.766)	Data 0.001 (0.002)	Loss 2.1259 (1.7900)	Prec@1 47.656 (52.928)	Prec@5 73.438 (82.214)
Epoch: [83][7370/14090]	Time 0.849 (0.767)	Data 0.001 (0.002)	Loss 1.7491 (1.7900)	Prec@1 54.688 (52.928)	Prec@5 82.812 (82.215)
Epoch: [83][7380/14090]	Time 0.770 (0.767)	Data 0.001 (0.002)	Loss 1.8465 (1.7902)	Prec@1 50.781 (52.920)	Prec@5 82.812 (82.212)
Epoch: [83][7390/14090]	Time 0.749 (0.766)	Data 0.001 (0.002)	Loss 2.0806 (1.7903)	Prec@1 47.656 (52.918)	Prec@5 76.562 (82.211)
Epoch: [83][7400/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 2.1524 (1.7903)	Prec@1 44.531 (52.916)	Prec@5 73.438 (82.209)
Epoch: [83][7410/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 1.9549 (1.7903)	Prec@1 53.125 (52.915)	Prec@5 78.906 (82.209)
Epoch: [83][7420/14090]	Time 0.731 (0.767)	Data 0.001 (0.002)	Loss 1.9630 (1.7904)	Prec@1 48.438 (52.914)	Prec@5 78.125 (82.207)
Epoch: [83][7430/14090]	Time 0.780 (0.766)	Data 0.001 (0.002)	Loss 1.8194 (1.7905)	Prec@1 51.562 (52.912)	Prec@5 81.250 (82.206)
Epoch: [83][7440/14090]	Time 0.878 (0.766)	Data 0.001 (0.002)	Loss 1.7769 (1.7905)	Prec@1 52.344 (52.913)	Prec@5 82.812 (82.206)
Epoch: [83][7450/14090]	Time 0.735 (0.766)	Data 0.001 (0.002)	Loss 2.0714 (1.7905)	Prec@1 50.000 (52.914)	Prec@5 77.344 (82.204)
Epoch: [83][7460/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 1.6446 (1.7905)	Prec@1 56.250 (52.915)	Prec@5 83.594 (82.205)
Epoch: [83][7470/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 1.6941 (1.7905)	Prec@1 59.375 (52.915)	Prec@5 85.156 (82.204)
Epoch: [83][7480/14090]	Time 0.765 (0.766)	Data 0.001 (0.001)	Loss 1.7343 (1.7905)	Prec@1 53.906 (52.916)	Prec@5 86.719 (82.202)
Epoch: [83][7490/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 1.7655 (1.7906)	Prec@1 54.688 (52.916)	Prec@5 82.031 (82.202)
Epoch: [83][7500/14090]	Time 0.769 (0.766)	Data 0.001 (0.001)	Loss 1.9809 (1.7905)	Prec@1 48.438 (52.915)	Prec@5 78.125 (82.203)
Epoch: [83][7510/14090]	Time 0.855 (0.766)	Data 0.001 (0.001)	Loss 1.6116 (1.7906)	Prec@1 53.125 (52.913)	Prec@5 86.719 (82.205)
Epoch: [83][7520/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 1.6800 (1.7907)	Prec@1 53.906 (52.909)	Prec@5 85.156 (82.202)
Epoch: [83][7530/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 1.8204 (1.7907)	Prec@1 55.469 (52.910)	Prec@5 86.719 (82.202)
Epoch: [83][7540/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 1.6943 (1.7906)	Prec@1 56.250 (52.912)	Prec@5 82.812 (82.202)
Epoch: [83][7550/14090]	Time 0.768 (0.766)	Data 0.001 (0.001)	Loss 1.9595 (1.7906)	Prec@1 50.000 (52.909)	Prec@5 79.688 (82.203)
Epoch: [83][7560/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 1.7742 (1.7906)	Prec@1 55.469 (52.910)	Prec@5 84.375 (82.203)
Epoch: [83][7570/14090]	Time 0.798 (0.766)	Data 0.001 (0.001)	Loss 1.6451 (1.7907)	Prec@1 61.719 (52.909)	Prec@5 84.375 (82.202)
Epoch: [83][7580/14090]	Time 0.869 (0.767)	Data 0.001 (0.001)	Loss 1.6636 (1.7907)	Prec@1 50.000 (52.904)	Prec@5 87.500 (82.202)
Epoch: [83][7590/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 1.9505 (1.7908)	Prec@1 50.000 (52.904)	Prec@5 75.781 (82.202)
Epoch: [83][7600/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 1.7842 (1.7908)	Prec@1 57.031 (52.904)	Prec@5 78.125 (82.200)
Epoch: [83][7610/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 1.8528 (1.7907)	Prec@1 53.125 (52.905)	Prec@5 78.125 (82.199)
Epoch: [83][7620/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 1.7635 (1.7907)	Prec@1 55.469 (52.907)	Prec@5 82.031 (82.200)
Epoch: [83][7630/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 1.7987 (1.7907)	Prec@1 47.656 (52.907)	Prec@5 82.031 (82.199)
Epoch: [83][7640/14090]	Time 0.767 (0.767)	Data 0.001 (0.001)	Loss 1.6400 (1.7907)	Prec@1 54.688 (52.908)	Prec@5 87.500 (82.201)
Epoch: [83][7650/14090]	Time 0.891 (0.767)	Data 0.001 (0.001)	Loss 1.7017 (1.7907)	Prec@1 57.812 (52.908)	Prec@5 80.469 (82.200)
Epoch: [83][7660/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 1.8339 (1.7908)	Prec@1 53.125 (52.907)	Prec@5 82.812 (82.198)
Epoch: [83][7670/14090]	Time 0.764 (0.767)	Data 0.001 (0.001)	Loss 1.9404 (1.7909)	Prec@1 51.562 (52.906)	Prec@5 76.562 (82.196)
Epoch: [83][7680/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 1.6540 (1.7909)	Prec@1 57.031 (52.903)	Prec@5 85.156 (82.193)
Epoch: [83][7690/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 1.6974 (1.7909)	Prec@1 53.125 (52.903)	Prec@5 82.812 (82.194)
Epoch: [83][7700/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 1.6305 (1.7910)	Prec@1 57.031 (52.902)	Prec@5 85.938 (82.192)
Epoch: [83][7710/14090]	Time 0.771 (0.767)	Data 0.001 (0.001)	Loss 1.9956 (1.7910)	Prec@1 43.750 (52.900)	Prec@5 81.250 (82.192)
Epoch: [83][7720/14090]	Time 0.844 (0.767)	Data 0.001 (0.001)	Loss 1.9332 (1.7910)	Prec@1 46.094 (52.899)	Prec@5 80.469 (82.193)
Epoch: [83][7730/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 1.8741 (1.7910)	Prec@1 54.688 (52.900)	Prec@5 82.812 (82.192)
Epoch: [83][7740/14090]	Time 0.725 (0.767)	Data 0.001 (0.001)	Loss 1.6930 (1.7909)	Prec@1 51.562 (52.903)	Prec@5 83.594 (82.194)
Epoch: [83][7750/14090]	Time 0.784 (0.767)	Data 0.001 (0.001)	Loss 1.7256 (1.7910)	Prec@1 51.562 (52.900)	Prec@5 87.500 (82.193)
Epoch: [83][7760/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 1.8151 (1.7912)	Prec@1 51.562 (52.894)	Prec@5 85.156 (82.190)
Epoch: [83][7770/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 1.6865 (1.7911)	Prec@1 57.812 (52.897)	Prec@5 81.250 (82.193)
Epoch: [83][7780/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 1.8273 (1.7911)	Prec@1 54.688 (52.898)	Prec@5 80.469 (82.192)
Epoch: [83][7790/14090]	Time 0.854 (0.767)	Data 0.001 (0.001)	Loss 1.8794 (1.7911)	Prec@1 51.562 (52.898)	Prec@5 82.812 (82.191)
Epoch: [83][7800/14090]	Time 0.776 (0.767)	Data 0.001 (0.001)	Loss 1.7857 (1.7912)	Prec@1 50.000 (52.897)	Prec@5 84.375 (82.190)
Epoch: [83][7810/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 1.6903 (1.7912)	Prec@1 57.031 (52.899)	Prec@5 81.250 (82.189)
Epoch: [83][7820/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 1.8063 (1.7912)	Prec@1 47.656 (52.899)	Prec@5 82.031 (82.188)
Epoch: [83][7830/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 1.7781 (1.7911)	Prec@1 52.344 (52.898)	Prec@5 80.469 (82.191)
Epoch: [83][7840/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 1.6980 (1.7911)	Prec@1 57.812 (52.899)	Prec@5 86.719 (82.191)
Epoch: [83][7850/14090]	Time 0.726 (0.767)	Data 0.001 (0.001)	Loss 1.7746 (1.7912)	Prec@1 53.906 (52.898)	Prec@5 83.594 (82.190)
Epoch: [83][7860/14090]	Time 0.868 (0.767)	Data 0.001 (0.001)	Loss 1.7405 (1.7911)	Prec@1 54.688 (52.901)	Prec@5 85.156 (82.191)
Epoch: [83][7870/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 1.7799 (1.7912)	Prec@1 52.344 (52.899)	Prec@5 81.250 (82.189)
Epoch: [83][7880/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 1.7296 (1.7913)	Prec@1 55.469 (52.896)	Prec@5 83.594 (82.187)
Epoch: [83][7890/14090]	Time 0.767 (0.767)	Data 0.001 (0.001)	Loss 2.2052 (1.7913)	Prec@1 42.188 (52.894)	Prec@5 77.344 (82.187)
Epoch: [83][7900/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 1.7832 (1.7913)	Prec@1 52.344 (52.895)	Prec@5 80.469 (82.187)
Epoch: [83][7910/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 1.8552 (1.7913)	Prec@1 48.438 (52.893)	Prec@5 82.031 (82.186)
Epoch: [83][7920/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 1.8712 (1.7914)	Prec@1 50.000 (52.889)	Prec@5 82.031 (82.184)
Epoch: [83][7930/14090]	Time 0.882 (0.767)	Data 0.001 (0.001)	Loss 1.8485 (1.7915)	Prec@1 50.781 (52.889)	Prec@5 79.688 (82.183)
Epoch: [83][7940/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 1.7928 (1.7914)	Prec@1 54.688 (52.888)	Prec@5 83.594 (82.184)
Epoch: [83][7950/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 1.6352 (1.7914)	Prec@1 54.688 (52.889)	Prec@5 85.156 (82.184)
Epoch: [83][7960/14090]	Time 0.727 (0.767)	Data 0.001 (0.001)	Loss 1.9375 (1.7914)	Prec@1 49.219 (52.888)	Prec@5 81.250 (82.185)
Epoch: [83][7970/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.0514 (1.7914)	Prec@1 46.094 (52.889)	Prec@5 78.906 (82.182)
Epoch: [83][7980/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 1.7296 (1.7915)	Prec@1 49.219 (52.890)	Prec@5 82.812 (82.182)
Epoch: [83][7990/14090]	Time 0.784 (0.766)	Data 0.001 (0.001)	Loss 2.1225 (1.7915)	Prec@1 44.531 (52.889)	Prec@5 77.344 (82.180)
Epoch: [83][8000/14090]	Time 0.911 (0.767)	Data 0.001 (0.001)	Loss 1.5794 (1.7915)	Prec@1 59.375 (52.890)	Prec@5 86.719 (82.180)
Epoch: [83][8010/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 1.6916 (1.7915)	Prec@1 54.688 (52.893)	Prec@5 84.375 (82.182)
Epoch: [83][8020/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 1.8190 (1.7916)	Prec@1 49.219 (52.890)	Prec@5 85.156 (82.181)
Epoch: [83][8030/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 1.7394 (1.7917)	Prec@1 51.562 (52.887)	Prec@5 83.594 (82.180)
Epoch: [83][8040/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 1.6669 (1.7917)	Prec@1 53.906 (52.885)	Prec@5 85.156 (82.180)
Epoch: [83][8050/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 1.8562 (1.7918)	Prec@1 47.656 (52.883)	Prec@5 79.688 (82.179)
Epoch: [83][8060/14090]	Time 0.767 (0.767)	Data 0.001 (0.001)	Loss 2.0555 (1.7917)	Prec@1 48.438 (52.883)	Prec@5 75.781 (82.180)
Epoch: [83][8070/14090]	Time 0.867 (0.767)	Data 0.001 (0.001)	Loss 1.7426 (1.7916)	Prec@1 53.906 (52.886)	Prec@5 82.031 (82.182)
Epoch: [83][8080/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 1.7619 (1.7916)	Prec@1 51.562 (52.885)	Prec@5 83.594 (82.182)
Epoch: [83][8090/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 2.0203 (1.7917)	Prec@1 46.094 (52.883)	Prec@5 82.031 (82.181)
Epoch: [83][8100/14090]	Time 0.727 (0.767)	Data 0.001 (0.001)	Loss 1.9935 (1.7917)	Prec@1 53.906 (52.883)	Prec@5 78.906 (82.180)
Epoch: [83][8110/14090]	Time 0.768 (0.767)	Data 0.001 (0.001)	Loss 1.7989 (1.7917)	Prec@1 50.000 (52.885)	Prec@5 82.812 (82.181)
Epoch: [83][8120/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 1.6873 (1.7918)	Prec@1 54.688 (52.881)	Prec@5 87.500 (82.179)
Epoch: [83][8130/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 1.8108 (1.7918)	Prec@1 53.125 (52.882)	Prec@5 82.812 (82.178)
Epoch: [83][8140/14090]	Time 0.889 (0.767)	Data 0.001 (0.001)	Loss 1.6991 (1.7918)	Prec@1 55.469 (52.883)	Prec@5 85.156 (82.177)
Epoch: [83][8150/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 1.5759 (1.7918)	Prec@1 57.812 (52.885)	Prec@5 86.719 (82.177)
Epoch: [83][8160/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 1.8353 (1.7919)	Prec@1 50.781 (52.884)	Prec@5 79.688 (82.178)
Epoch: [83][8170/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 1.6516 (1.7919)	Prec@1 53.125 (52.883)	Prec@5 84.375 (82.177)
Epoch: [83][8180/14090]	Time 0.765 (0.767)	Data 0.001 (0.001)	Loss 1.9310 (1.7920)	Prec@1 53.906 (52.881)	Prec@5 75.781 (82.173)
Epoch: [83][8190/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 1.8836 (1.7919)	Prec@1 47.656 (52.882)	Prec@5 82.812 (82.175)
Epoch: [83][8200/14090]	Time 0.788 (0.766)	Data 0.001 (0.001)	Loss 1.8166 (1.7919)	Prec@1 53.125 (52.881)	Prec@5 84.375 (82.175)
Epoch: [83][8210/14090]	Time 0.888 (0.767)	Data 0.001 (0.001)	Loss 1.8054 (1.7919)	Prec@1 50.781 (52.880)	Prec@5 78.906 (82.174)
Epoch: [83][8220/14090]	Time 0.772 (0.766)	Data 0.001 (0.001)	Loss 1.7581 (1.7920)	Prec@1 57.031 (52.881)	Prec@5 87.500 (82.175)
Epoch: [83][8230/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 1.5830 (1.7920)	Prec@1 60.156 (52.880)	Prec@5 87.500 (82.175)
Epoch: [83][8240/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 1.5538 (1.7921)	Prec@1 55.469 (52.879)	Prec@5 89.844 (82.175)
Epoch: [83][8250/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 1.7288 (1.7921)	Prec@1 51.562 (52.878)	Prec@5 82.812 (82.174)
Epoch: [83][8260/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 1.6842 (1.7921)	Prec@1 56.250 (52.879)	Prec@5 85.938 (82.177)
Epoch: [83][8270/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 1.9472 (1.7920)	Prec@1 53.906 (52.879)	Prec@5 77.344 (82.176)
Epoch: [83][8280/14090]	Time 0.875 (0.767)	Data 0.001 (0.001)	Loss 2.1250 (1.7921)	Prec@1 41.406 (52.877)	Prec@5 78.906 (82.177)
Epoch: [83][8290/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 1.9567 (1.7921)	Prec@1 49.219 (52.875)	Prec@5 81.250 (82.176)
Epoch: [83][8300/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 2.0628 (1.7921)	Prec@1 47.656 (52.874)	Prec@5 76.562 (82.177)
Epoch: [83][8310/14090]	Time 0.727 (0.767)	Data 0.001 (0.001)	Loss 1.7714 (1.7921)	Prec@1 55.469 (52.877)	Prec@5 84.375 (82.176)
Epoch: [83][8320/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 1.9780 (1.7922)	Prec@1 50.781 (52.873)	Prec@5 82.812 (82.175)
Epoch: [83][8330/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 2.3367 (1.7922)	Prec@1 39.844 (52.873)	Prec@5 75.000 (82.176)
Epoch: [83][8340/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 2.0094 (1.7922)	Prec@1 46.094 (52.874)	Prec@5 77.344 (82.177)
Epoch: [83][8350/14090]	Time 0.877 (0.767)	Data 0.001 (0.001)	Loss 2.0771 (1.7922)	Prec@1 46.875 (52.873)	Prec@5 80.469 (82.177)
Epoch: [83][8360/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 1.8903 (1.7922)	Prec@1 53.125 (52.872)	Prec@5 78.125 (82.176)
Epoch: [83][8370/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 1.6628 (1.7923)	Prec@1 51.562 (52.871)	Prec@5 85.938 (82.175)
Epoch: [83][8380/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 1.7043 (1.7923)	Prec@1 53.125 (52.871)	Prec@5 82.812 (82.176)
Epoch: [83][8390/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 1.9604 (1.7923)	Prec@1 48.438 (52.870)	Prec@5 78.906 (82.176)
Epoch: [83][8400/14090]	Time 0.763 (0.767)	Data 0.003 (0.001)	Loss 1.8445 (1.7925)	Prec@1 50.781 (52.866)	Prec@5 83.594 (82.173)
Epoch: [83][8410/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 1.9196 (1.7925)	Prec@1 46.094 (52.866)	Prec@5 82.812 (82.174)
Epoch: [83][8420/14090]	Time 0.861 (0.767)	Data 0.001 (0.001)	Loss 1.7302 (1.7924)	Prec@1 54.688 (52.868)	Prec@5 80.469 (82.174)
Epoch: [83][8430/14090]	Time 0.772 (0.767)	Data 0.001 (0.001)	Loss 1.7594 (1.7925)	Prec@1 59.375 (52.867)	Prec@5 82.031 (82.173)
Epoch: [83][8440/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 2.0121 (1.7925)	Prec@1 47.656 (52.866)	Prec@5 78.125 (82.172)
Epoch: [83][8450/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 1.6699 (1.7926)	Prec@1 53.906 (52.863)	Prec@5 84.375 (82.172)
Epoch: [83][8460/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 1.7748 (1.7926)	Prec@1 54.688 (52.862)	Prec@5 82.031 (82.172)
Epoch: [83][8470/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 1.6838 (1.7925)	Prec@1 53.906 (52.864)	Prec@5 87.500 (82.174)
Epoch: [83][8480/14090]	Time 0.773 (0.767)	Data 0.001 (0.001)	Loss 1.9536 (1.7926)	Prec@1 46.875 (52.863)	Prec@5 75.781 (82.172)
Epoch: [83][8490/14090]	Time 0.881 (0.767)	Data 0.001 (0.001)	Loss 1.5382 (1.7926)	Prec@1 59.375 (52.861)	Prec@5 85.156 (82.170)
Epoch: [83][8500/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 1.6899 (1.7926)	Prec@1 52.344 (52.863)	Prec@5 83.594 (82.171)
Epoch: [83][8510/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 1.4695 (1.7926)	Prec@1 58.594 (52.865)	Prec@5 84.375 (82.171)
Epoch: [83][8520/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 1.8311 (1.7925)	Prec@1 53.906 (52.868)	Prec@5 82.031 (82.172)
Epoch: [83][8530/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 1.7485 (1.7925)	Prec@1 50.781 (52.866)	Prec@5 85.156 (82.172)
Epoch: [83][8540/14090]	Time 0.778 (0.767)	Data 0.001 (0.001)	Loss 1.7886 (1.7924)	Prec@1 50.781 (52.868)	Prec@5 85.156 (82.175)
Epoch: [83][8550/14090]	Time 0.776 (0.767)	Data 0.001 (0.001)	Loss 1.7315 (1.7924)	Prec@1 57.031 (52.866)	Prec@5 86.719 (82.175)
Epoch: [83][8560/14090]	Time 0.854 (0.767)	Data 0.001 (0.001)	Loss 1.7292 (1.7924)	Prec@1 50.781 (52.865)	Prec@5 83.594 (82.175)
Epoch: [83][8570/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 1.8670 (1.7925)	Prec@1 53.906 (52.863)	Prec@5 82.812 (82.174)
Epoch: [83][8580/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 1.6952 (1.7925)	Prec@1 53.125 (52.863)	Prec@5 86.719 (82.174)
Epoch: [83][8590/14090]	Time 0.766 (0.767)	Data 0.001 (0.001)	Loss 2.0995 (1.7927)	Prec@1 42.188 (52.860)	Prec@5 75.781 (82.169)
Epoch: [83][8600/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 1.7436 (1.7927)	Prec@1 51.562 (52.860)	Prec@5 82.031 (82.167)
Epoch: [83][8610/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 2.0882 (1.7928)	Prec@1 40.625 (52.859)	Prec@5 78.906 (82.166)
Epoch: [83][8620/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 1.8204 (1.7927)	Prec@1 54.688 (52.862)	Prec@5 81.250 (82.166)
Epoch: [83][8630/14090]	Time 0.886 (0.767)	Data 0.001 (0.001)	Loss 1.7902 (1.7928)	Prec@1 54.688 (52.861)	Prec@5 83.594 (82.163)
Epoch: [83][8640/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 2.1068 (1.7928)	Prec@1 39.844 (52.859)	Prec@5 83.594 (82.165)
Epoch: [83][8650/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 1.9071 (1.7927)	Prec@1 46.094 (52.859)	Prec@5 81.250 (82.166)
Epoch: [83][8660/14090]	Time 0.785 (0.767)	Data 0.001 (0.001)	Loss 1.7541 (1.7928)	Prec@1 48.438 (52.859)	Prec@5 82.812 (82.165)
Epoch: [83][8670/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 1.8984 (1.7929)	Prec@1 50.781 (52.858)	Prec@5 78.125 (82.163)
Epoch: [83][8680/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 1.7378 (1.7929)	Prec@1 51.562 (52.858)	Prec@5 81.250 (82.161)
Epoch: [83][8690/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 1.9299 (1.7929)	Prec@1 47.656 (52.858)	Prec@5 78.906 (82.162)
Epoch: [83][8700/14090]	Time 0.848 (0.767)	Data 0.001 (0.001)	Loss 1.9887 (1.7929)	Prec@1 46.094 (52.858)	Prec@5 78.906 (82.163)
Epoch: [83][8710/14090]	Time 0.751 (0.767)	Data 0.002 (0.001)	Loss 1.9056 (1.7929)	Prec@1 49.219 (52.859)	Prec@5 78.906 (82.162)
Epoch: [83][8720/14090]	Time 0.773 (0.767)	Data 0.001 (0.001)	Loss 1.8282 (1.7929)	Prec@1 51.562 (52.858)	Prec@5 82.031 (82.163)
Epoch: [83][8730/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 1.8107 (1.7929)	Prec@1 54.688 (52.860)	Prec@5 80.469 (82.161)
Epoch: [83][8740/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 1.8940 (1.7929)	Prec@1 48.438 (52.858)	Prec@5 77.344 (82.161)
Epoch: [83][8750/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 1.7715 (1.7929)	Prec@1 46.875 (52.857)	Prec@5 83.594 (82.162)
Epoch: [83][8760/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 1.9894 (1.7929)	Prec@1 42.969 (52.857)	Prec@5 83.594 (82.162)
Epoch: [83][8770/14090]	Time 0.839 (0.767)	Data 0.001 (0.001)	Loss 1.5625 (1.7929)	Prec@1 53.906 (52.855)	Prec@5 87.500 (82.163)
Epoch: [83][8780/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 2.0271 (1.7929)	Prec@1 46.094 (52.853)	Prec@5 78.906 (82.162)
Epoch: [83][8790/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 1.3752 (1.7929)	Prec@1 64.062 (52.854)	Prec@5 90.625 (82.162)
Epoch: [83][8800/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 1.8504 (1.7929)	Prec@1 47.656 (52.854)	Prec@5 81.250 (82.163)
Epoch: [83][8810/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 1.7832 (1.7928)	Prec@1 52.344 (52.856)	Prec@5 85.938 (82.164)
Epoch: [83][8820/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 1.9217 (1.7928)	Prec@1 48.438 (52.856)	Prec@5 81.250 (82.165)
Epoch: [83][8830/14090]	Time 0.776 (0.767)	Data 0.001 (0.001)	Loss 1.9283 (1.7928)	Prec@1 51.562 (52.855)	Prec@5 79.688 (82.165)
Epoch: [83][8840/14090]	Time 0.853 (0.767)	Data 0.001 (0.001)	Loss 1.8758 (1.7928)	Prec@1 50.000 (52.855)	Prec@5 82.031 (82.165)
Epoch: [83][8850/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 1.7229 (1.7928)	Prec@1 53.906 (52.854)	Prec@5 84.375 (82.164)
Epoch: [83][8860/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 1.6375 (1.7928)	Prec@1 57.812 (52.856)	Prec@5 83.594 (82.165)
Epoch: [83][8870/14090]	Time 0.727 (0.767)	Data 0.001 (0.001)	Loss 1.8158 (1.7929)	Prec@1 47.656 (52.854)	Prec@5 85.938 (82.163)
Epoch: [83][8880/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 1.9282 (1.7929)	Prec@1 46.094 (52.851)	Prec@5 78.906 (82.162)
Epoch: [83][8890/14090]	Time 0.778 (0.767)	Data 0.001 (0.001)	Loss 1.7197 (1.7930)	Prec@1 55.469 (52.851)	Prec@5 84.375 (82.161)
Epoch: [83][8900/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 1.9057 (1.7930)	Prec@1 51.562 (52.851)	Prec@5 78.906 (82.161)
Epoch: [83][8910/14090]	Time 0.872 (0.767)	Data 0.001 (0.001)	Loss 1.8167 (1.7929)	Prec@1 48.438 (52.852)	Prec@5 84.375 (82.163)
Epoch: [83][8920/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 1.8776 (1.7930)	Prec@1 49.219 (52.849)	Prec@5 78.125 (82.162)
Epoch: [83][8930/14090]	Time 0.768 (0.767)	Data 0.001 (0.001)	Loss 1.9755 (1.7931)	Prec@1 49.219 (52.846)	Prec@5 79.688 (82.161)
Epoch: [83][8940/14090]	Time 0.776 (0.767)	Data 0.001 (0.001)	Loss 1.8223 (1.7931)	Prec@1 53.906 (52.846)	Prec@5 82.031 (82.161)
Epoch: [83][8950/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 1.8897 (1.7931)	Prec@1 53.125 (52.844)	Prec@5 82.031 (82.161)
Epoch: [83][8960/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 1.8276 (1.7932)	Prec@1 50.781 (52.843)	Prec@5 85.156 (82.161)
Epoch: [83][8970/14090]	Time 0.784 (0.767)	Data 0.001 (0.001)	Loss 1.6921 (1.7932)	Prec@1 54.688 (52.841)	Prec@5 88.281 (82.160)
Epoch: [83][8980/14090]	Time 0.871 (0.767)	Data 0.001 (0.001)	Loss 1.7831 (1.7932)	Prec@1 49.219 (52.839)	Prec@5 85.938 (82.160)
Epoch: [83][8990/14090]	Time 0.776 (0.767)	Data 0.001 (0.001)	Loss 1.8627 (1.7932)	Prec@1 53.906 (52.839)	Prec@5 83.594 (82.160)
Epoch: [83][9000/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 1.9856 (1.7933)	Prec@1 49.219 (52.838)	Prec@5 81.250 (82.161)
Epoch: [83][9010/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 1.8478 (1.7933)	Prec@1 53.906 (52.838)	Prec@5 81.250 (82.161)
Epoch: [83][9020/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 1.7488 (1.7933)	Prec@1 46.094 (52.836)	Prec@5 85.156 (82.161)
Epoch: [83][9030/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 1.6939 (1.7933)	Prec@1 57.812 (52.836)	Prec@5 84.375 (82.162)
Epoch: [83][9040/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 2.2648 (1.7935)	Prec@1 46.875 (52.834)	Prec@5 73.438 (82.159)
Epoch: [83][9050/14090]	Time 0.866 (0.767)	Data 0.001 (0.001)	Loss 1.6050 (1.7934)	Prec@1 57.031 (52.836)	Prec@5 82.812 (82.159)
Epoch: [83][9060/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 1.6644 (1.7934)	Prec@1 52.344 (52.837)	Prec@5 84.375 (82.158)
Epoch: [83][9070/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 2.0297 (1.7935)	Prec@1 48.438 (52.835)	Prec@5 79.688 (82.157)
Epoch: [83][9080/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 1.5732 (1.7935)	Prec@1 53.125 (52.836)	Prec@5 85.938 (82.157)
Epoch: [83][9090/14090]	Time 0.725 (0.767)	Data 0.001 (0.001)	Loss 1.8513 (1.7936)	Prec@1 48.438 (52.832)	Prec@5 85.938 (82.156)
Epoch: [83][9100/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 1.9266 (1.7936)	Prec@1 46.875 (52.833)	Prec@5 79.688 (82.155)
Epoch: [83][9110/14090]	Time 0.770 (0.767)	Data 0.001 (0.001)	Loss 1.8051 (1.7936)	Prec@1 53.125 (52.834)	Prec@5 81.250 (82.155)
Epoch: [83][9120/14090]	Time 0.869 (0.767)	Data 0.001 (0.001)	Loss 1.5480 (1.7936)	Prec@1 60.938 (52.835)	Prec@5 85.938 (82.156)
Epoch: [83][9130/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 1.9353 (1.7936)	Prec@1 53.125 (52.836)	Prec@5 78.906 (82.156)
Epoch: [83][9140/14090]	Time 0.724 (0.766)	Data 0.001 (0.001)	Loss 1.5122 (1.7936)	Prec@1 53.906 (52.837)	Prec@5 89.062 (82.157)
Epoch: [83][9150/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 1.9033 (1.7936)	Prec@1 53.906 (52.836)	Prec@5 81.250 (82.157)
Epoch: [83][9160/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 1.8099 (1.7936)	Prec@1 56.250 (52.836)	Prec@5 82.031 (82.157)
Epoch: [83][9170/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 1.5034 (1.7937)	Prec@1 61.719 (52.836)	Prec@5 87.500 (82.157)
Epoch: [83][9180/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 2.0167 (1.7937)	Prec@1 43.750 (52.835)	Prec@5 75.781 (82.156)
Epoch: [83][9190/14090]	Time 0.888 (0.766)	Data 0.001 (0.001)	Loss 1.8604 (1.7939)	Prec@1 49.219 (52.833)	Prec@5 82.031 (82.154)
Epoch: [83][9200/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 1.8027 (1.7939)	Prec@1 55.469 (52.835)	Prec@5 82.031 (82.154)
Epoch: [83][9210/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 1.8053 (1.7939)	Prec@1 50.781 (52.834)	Prec@5 78.906 (82.153)
Epoch: [83][9220/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 1.9334 (1.7939)	Prec@1 51.562 (52.834)	Prec@5 76.562 (82.153)
Epoch: [83][9230/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 1.8343 (1.7939)	Prec@1 55.469 (52.834)	Prec@5 80.469 (82.154)
Epoch: [83][9240/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 1.8418 (1.7939)	Prec@1 57.812 (52.835)	Prec@5 82.031 (82.155)
Epoch: [83][9250/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 1.7655 (1.7939)	Prec@1 57.031 (52.835)	Prec@5 87.500 (82.154)
Epoch: [83][9260/14090]	Time 0.846 (0.766)	Data 0.001 (0.001)	Loss 1.8752 (1.7940)	Prec@1 54.688 (52.832)	Prec@5 82.031 (82.153)
Epoch: [83][9270/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 1.8189 (1.7939)	Prec@1 51.562 (52.832)	Prec@5 78.125 (82.152)
Epoch: [83][9280/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 1.8567 (1.7940)	Prec@1 48.438 (52.831)	Prec@5 85.156 (82.152)
Epoch: [83][9290/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 1.5354 (1.7939)	Prec@1 62.500 (52.831)	Prec@5 87.500 (82.155)
Epoch: [83][9300/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 1.8518 (1.7939)	Prec@1 54.688 (52.833)	Prec@5 78.906 (82.156)
Epoch: [83][9310/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 1.5487 (1.7938)	Prec@1 57.812 (52.832)	Prec@5 85.938 (82.157)
Epoch: [83][9320/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 1.8712 (1.7938)	Prec@1 49.219 (52.831)	Prec@5 78.125 (82.156)
Epoch: [83][9330/14090]	Time 0.886 (0.766)	Data 0.001 (0.001)	Loss 1.6743 (1.7938)	Prec@1 59.375 (52.832)	Prec@5 82.031 (82.158)
Epoch: [83][9340/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.0891 (1.7938)	Prec@1 45.312 (52.830)	Prec@5 78.125 (82.157)
Epoch: [83][9350/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 1.8295 (1.7939)	Prec@1 48.438 (52.828)	Prec@5 83.594 (82.156)
Epoch: [83][9360/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 1.7723 (1.7939)	Prec@1 53.125 (52.828)	Prec@5 82.031 (82.156)
Epoch: [83][9370/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 1.7669 (1.7940)	Prec@1 49.219 (52.826)	Prec@5 83.594 (82.155)
Epoch: [83][9380/14090]	Time 0.767 (0.766)	Data 0.001 (0.001)	Loss 1.7244 (1.7939)	Prec@1 53.125 (52.829)	Prec@5 88.281 (82.156)
Epoch: [83][9390/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 1.6934 (1.7939)	Prec@1 52.344 (52.830)	Prec@5 85.156 (82.156)
Epoch: [83][9400/14090]	Time 0.888 (0.766)	Data 0.001 (0.001)	Loss 1.7022 (1.7940)	Prec@1 53.125 (52.830)	Prec@5 84.375 (82.155)
Epoch: [83][9410/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 1.6416 (1.7939)	Prec@1 55.469 (52.830)	Prec@5 84.375 (82.155)
Epoch: [83][9420/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 1.6819 (1.7940)	Prec@1 50.781 (52.829)	Prec@5 82.031 (82.155)
Epoch: [83][9430/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 1.8512 (1.7939)	Prec@1 48.438 (52.831)	Prec@5 80.469 (82.155)
Epoch: [83][9440/14090]	Time 0.769 (0.766)	Data 0.001 (0.001)	Loss 2.0171 (1.7939)	Prec@1 54.688 (52.831)	Prec@5 77.344 (82.156)
Epoch: [83][9450/14090]	Time 0.746 (0.766)	Data 0.002 (0.001)	Loss 1.9617 (1.7939)	Prec@1 49.219 (52.833)	Prec@5 82.031 (82.156)
Epoch: [83][9460/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 2.1208 (1.7941)	Prec@1 46.875 (52.830)	Prec@5 81.250 (82.153)
Epoch: [83][9470/14090]	Time 0.821 (0.766)	Data 0.001 (0.001)	Loss 1.8214 (1.7940)	Prec@1 55.469 (52.831)	Prec@5 82.031 (82.153)
Epoch: [83][9480/14090]	Time 0.779 (0.766)	Data 0.001 (0.001)	Loss 1.7768 (1.7940)	Prec@1 55.469 (52.831)	Prec@5 78.125 (82.153)
Epoch: [83][9490/14090]	Time 0.775 (0.766)	Data 0.001 (0.001)	Loss 1.6881 (1.7940)	Prec@1 54.688 (52.831)	Prec@5 84.375 (82.152)
Epoch: [83][9500/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 1.9035 (1.7940)	Prec@1 50.781 (52.830)	Prec@5 78.906 (82.152)
Epoch: [83][9510/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 1.7288 (1.7940)	Prec@1 53.906 (52.830)	Prec@5 82.812 (82.152)
Epoch: [83][9520/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 1.8943 (1.7940)	Prec@1 48.438 (52.829)	Prec@5 77.344 (82.152)
Epoch: [83][9530/14090]	Time 0.772 (0.767)	Data 0.001 (0.001)	Loss 1.9149 (1.7940)	Prec@1 49.219 (52.826)	Prec@5 82.031 (82.152)
Epoch: [83][9540/14090]	Time 0.869 (0.767)	Data 0.001 (0.001)	Loss 1.8694 (1.7941)	Prec@1 49.219 (52.824)	Prec@5 78.906 (82.152)
Epoch: [83][9550/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 1.7413 (1.7941)	Prec@1 56.250 (52.822)	Prec@5 82.031 (82.151)
Epoch: [83][9560/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 1.8859 (1.7942)	Prec@1 50.000 (52.820)	Prec@5 81.250 (82.150)
Epoch: [83][9570/14090]	Time 0.789 (0.766)	Data 0.001 (0.001)	Loss 1.8450 (1.7942)	Prec@1 53.125 (52.821)	Prec@5 81.250 (82.150)
Epoch: [83][9580/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 1.4448 (1.7942)	Prec@1 64.844 (52.822)	Prec@5 88.281 (82.150)
Epoch: [83][9590/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 1.6841 (1.7942)	Prec@1 54.688 (52.822)	Prec@5 84.375 (82.151)
Epoch: [83][9600/14090]	Time 0.778 (0.766)	Data 0.001 (0.001)	Loss 1.7071 (1.7941)	Prec@1 55.469 (52.821)	Prec@5 87.500 (82.152)
Epoch: [83][9610/14090]	Time 0.869 (0.766)	Data 0.001 (0.001)	Loss 1.8232 (1.7941)	Prec@1 49.219 (52.823)	Prec@5 82.031 (82.153)
Epoch: [83][9620/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 1.7672 (1.7941)	Prec@1 50.781 (52.824)	Prec@5 82.812 (82.153)
Epoch: [83][9630/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.0276 (1.7941)	Prec@1 42.188 (52.823)	Prec@5 78.906 (82.154)
Epoch: [83][9640/14090]	Time 0.765 (0.766)	Data 0.001 (0.001)	Loss 1.7499 (1.7941)	Prec@1 52.344 (52.821)	Prec@5 81.250 (82.153)
Epoch: [83][9650/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 1.8658 (1.7941)	Prec@1 50.000 (52.819)	Prec@5 78.125 (82.152)
Epoch: [83][9660/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 1.7904 (1.7942)	Prec@1 53.125 (52.816)	Prec@5 79.688 (82.151)
Epoch: [83][9670/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 1.5734 (1.7942)	Prec@1 57.812 (52.816)	Prec@5 83.594 (82.150)
Epoch: [83][9680/14090]	Time 0.903 (0.767)	Data 0.001 (0.001)	Loss 1.6161 (1.7943)	Prec@1 55.469 (52.815)	Prec@5 84.375 (82.150)
Epoch: [83][9690/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 1.8385 (1.7943)	Prec@1 49.219 (52.814)	Prec@5 84.375 (82.151)
Epoch: [83][9700/14090]	Time 0.772 (0.766)	Data 0.001 (0.001)	Loss 2.0306 (1.7942)	Prec@1 47.656 (52.816)	Prec@5 72.656 (82.152)
Epoch: [83][9710/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 1.9436 (1.7943)	Prec@1 47.656 (52.813)	Prec@5 78.125 (82.150)
Epoch: [83][9720/14090]	Time 0.723 (0.766)	Data 0.001 (0.001)	Loss 1.7745 (1.7943)	Prec@1 53.125 (52.813)	Prec@5 82.031 (82.151)
Epoch: [83][9730/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 1.4537 (1.7943)	Prec@1 61.719 (52.812)	Prec@5 85.938 (82.149)
Epoch: [83][9740/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 1.9417 (1.7943)	Prec@1 46.875 (52.813)	Prec@5 79.688 (82.150)
Epoch: [83][9750/14090]	Time 0.845 (0.766)	Data 0.001 (0.001)	Loss 1.8003 (1.7943)	Prec@1 52.344 (52.812)	Prec@5 82.031 (82.151)
Epoch: [83][9760/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 2.0506 (1.7943)	Prec@1 46.094 (52.812)	Prec@5 74.219 (82.152)
Epoch: [83][9770/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.0309 (1.7944)	Prec@1 45.312 (52.809)	Prec@5 77.344 (82.149)
Epoch: [83][9780/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 1.8682 (1.7944)	Prec@1 52.344 (52.809)	Prec@5 78.125 (82.150)
Epoch: [83][9790/14090]	Time 0.767 (0.766)	Data 0.001 (0.001)	Loss 1.7799 (1.7944)	Prec@1 55.469 (52.809)	Prec@5 81.250 (82.150)
Epoch: [83][9800/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 1.8897 (1.7944)	Prec@1 52.344 (52.809)	Prec@5 79.688 (82.149)
Epoch: [83][9810/14090]	Time 0.765 (0.766)	Data 0.001 (0.001)	Loss 2.0293 (1.7944)	Prec@1 51.562 (52.808)	Prec@5 76.562 (82.149)
Epoch: [83][9820/14090]	Time 0.835 (0.766)	Data 0.001 (0.001)	Loss 1.7601 (1.7944)	Prec@1 52.344 (52.808)	Prec@5 85.156 (82.150)
Epoch: [83][9830/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 1.9035 (1.7945)	Prec@1 51.562 (52.807)	Prec@5 78.125 (82.149)
Epoch: [83][9840/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 1.3358 (1.7944)	Prec@1 60.938 (52.808)	Prec@5 90.625 (82.151)
Epoch: [83][9850/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 1.8262 (1.7943)	Prec@1 51.562 (52.808)	Prec@5 78.125 (82.153)
Epoch: [83][9860/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 1.7903 (1.7943)	Prec@1 50.781 (52.808)	Prec@5 82.031 (82.153)
Epoch: [83][9870/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.1670 (1.7943)	Prec@1 50.000 (52.808)	Prec@5 77.344 (82.153)
Epoch: [83][9880/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 1.5889 (1.7943)	Prec@1 54.688 (52.809)	Prec@5 85.938 (82.154)
Epoch: [83][9890/14090]	Time 0.906 (0.767)	Data 0.002 (0.001)	Loss 1.7532 (1.7943)	Prec@1 45.312 (52.810)	Prec@5 88.281 (82.154)
Epoch: [83][9900/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 1.4447 (1.7943)	Prec@1 60.156 (52.809)	Prec@5 86.719 (82.153)
Epoch: [83][9910/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 1.7970 (1.7943)	Prec@1 54.688 (52.808)	Prec@5 82.031 (82.153)
Epoch: [83][9920/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 1.7460 (1.7943)	Prec@1 55.469 (52.809)	Prec@5 85.938 (82.154)
Epoch: [83][9930/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 1.4870 (1.7943)	Prec@1 63.281 (52.809)	Prec@5 89.062 (82.154)
Epoch: [83][9940/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 1.7292 (1.7943)	Prec@1 55.469 (52.809)	Prec@5 88.281 (82.154)
Epoch: [83][9950/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 1.9715 (1.7944)	Prec@1 50.781 (52.808)	Prec@5 83.594 (82.154)
Epoch: [83][9960/14090]	Time 0.880 (0.767)	Data 0.001 (0.001)	Loss 2.1058 (1.7944)	Prec@1 45.312 (52.808)	Prec@5 75.781 (82.154)
Epoch: [83][9970/14090]	Time 0.727 (0.767)	Data 0.001 (0.001)	Loss 1.7489 (1.7944)	Prec@1 50.000 (52.807)	Prec@5 85.156 (82.153)
Epoch: [83][9980/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 1.8441 (1.7945)	Prec@1 54.688 (52.806)	Prec@5 82.031 (82.153)
Epoch: [83][9990/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 1.7217 (1.7945)	Prec@1 53.125 (52.808)	Prec@5 84.375 (82.154)
Epoch: [83][10000/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 1.9323 (1.7944)	Prec@1 49.219 (52.807)	Prec@5 79.688 (82.154)
Epoch: [83][10010/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 1.4463 (1.7944)	Prec@1 60.938 (52.806)	Prec@5 86.719 (82.153)
Epoch: [83][10020/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 1.6878 (1.7945)	Prec@1 57.812 (52.805)	Prec@5 80.469 (82.151)
Epoch: [83][10030/14090]	Time 0.877 (0.767)	Data 0.001 (0.001)	Loss 1.8330 (1.7944)	Prec@1 57.031 (52.808)	Prec@5 81.250 (82.152)
Epoch: [83][10040/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 2.0067 (1.7944)	Prec@1 47.656 (52.806)	Prec@5 78.125 (82.153)
Epoch: [83][10050/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 1.7168 (1.7944)	Prec@1 50.781 (52.806)	Prec@5 84.375 (82.153)
Epoch: [83][10060/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 1.9029 (1.7945)	Prec@1 48.438 (52.803)	Prec@5 82.031 (82.151)
Epoch: [83][10070/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 1.9556 (1.7945)	Prec@1 47.656 (52.803)	Prec@5 78.906 (82.150)
Epoch: [83][10080/14090]	Time 0.767 (0.767)	Data 0.001 (0.001)	Loss 1.7880 (1.7945)	Prec@1 53.906 (52.802)	Prec@5 82.031 (82.151)
Epoch: [83][10090/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 1.5985 (1.7945)	Prec@1 53.125 (52.802)	Prec@5 85.938 (82.151)
Epoch: [83][10100/14090]	Time 0.823 (0.767)	Data 0.001 (0.001)	Loss 1.7449 (1.7945)	Prec@1 54.688 (52.802)	Prec@5 83.594 (82.151)
Epoch: [83][10110/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 1.7198 (1.7945)	Prec@1 54.688 (52.801)	Prec@5 82.812 (82.150)
Epoch: [83][10120/14090]	Time 0.778 (0.767)	Data 0.001 (0.001)	Loss 1.5152 (1.7945)	Prec@1 60.938 (52.802)	Prec@5 85.156 (82.150)
Epoch: [83][10130/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 1.6661 (1.7945)	Prec@1 56.250 (52.801)	Prec@5 85.156 (82.151)
Epoch: [83][10140/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 1.9580 (1.7946)	Prec@1 44.531 (52.799)	Prec@5 79.688 (82.150)
Epoch: [83][10150/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 1.7203 (1.7946)	Prec@1 55.469 (52.799)	Prec@5 83.594 (82.149)
Epoch: [83][10160/14090]	Time 0.727 (0.767)	Data 0.001 (0.001)	Loss 1.8513 (1.7946)	Prec@1 50.781 (52.799)	Prec@5 76.562 (82.148)
Epoch: [83][10170/14090]	Time 0.877 (0.767)	Data 0.001 (0.001)	Loss 1.9324 (1.7947)	Prec@1 49.219 (52.798)	Prec@5 78.906 (82.146)
Epoch: [83][10180/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 1.9851 (1.7947)	Prec@1 45.312 (52.798)	Prec@5 80.469 (82.147)
Epoch: [83][10190/14090]	Time 0.724 (0.767)	Data 0.002 (0.001)	Loss 1.7167 (1.7948)	Prec@1 57.031 (52.797)	Prec@5 82.812 (82.145)
Epoch: [83][10200/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 1.8301 (1.7948)	Prec@1 52.344 (52.796)	Prec@5 78.906 (82.145)
Epoch: [83][10210/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 1.7903 (1.7948)	Prec@1 55.469 (52.795)	Prec@5 82.031 (82.144)
Epoch: [83][10220/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 1.7888 (1.7949)	Prec@1 56.250 (52.794)	Prec@5 81.250 (82.143)
Epoch: [83][10230/14090]	Time 0.724 (0.767)	Data 0.001 (0.001)	Loss 1.6895 (1.7948)	Prec@1 51.562 (52.794)	Prec@5 82.031 (82.144)
Epoch: [83][10240/14090]	Time 0.877 (0.767)	Data 0.001 (0.001)	Loss 2.0322 (1.7948)	Prec@1 50.781 (52.795)	Prec@5 78.906 (82.145)
Epoch: [83][10250/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 1.6859 (1.7947)	Prec@1 55.469 (52.797)	Prec@5 82.812 (82.147)
Epoch: [83][10260/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 1.8277 (1.7947)	Prec@1 46.094 (52.797)	Prec@5 83.594 (82.150)
Epoch: [83][10270/14090]	Time 0.777 (0.767)	Data 0.001 (0.001)	Loss 1.7563 (1.7947)	Prec@1 52.344 (52.799)	Prec@5 83.594 (82.150)
Epoch: [83][10280/14090]	Time 0.745 (0.767)	Data 0.003 (0.001)	Loss 1.8687 (1.7947)	Prec@1 53.906 (52.798)	Prec@5 81.250 (82.148)
Epoch: [83][10290/14090]	Time 0.777 (0.767)	Data 0.001 (0.001)	Loss 1.6064 (1.7948)	Prec@1 53.125 (52.799)	Prec@5 88.281 (82.147)
Epoch: [83][10300/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 1.6705 (1.7948)	Prec@1 55.469 (52.799)	Prec@5 85.156 (82.146)
Epoch: [83][10310/14090]	Time 0.891 (0.767)	Data 0.001 (0.001)	Loss 1.8888 (1.7949)	Prec@1 45.312 (52.797)	Prec@5 82.031 (82.144)
Epoch: [83][10320/14090]	Time 0.778 (0.767)	Data 0.001 (0.001)	Loss 1.8284 (1.7950)	Prec@1 45.312 (52.795)	Prec@5 83.594 (82.143)
Epoch: [83][10330/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 1.8646 (1.7949)	Prec@1 52.344 (52.796)	Prec@5 80.469 (82.144)
Epoch: [83][10340/14090]	Time 0.776 (0.767)	Data 0.001 (0.001)	Loss 1.6617 (1.7950)	Prec@1 47.656 (52.793)	Prec@5 88.281 (82.143)
Epoch: [83][10350/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 1.9296 (1.7951)	Prec@1 52.344 (52.790)	Prec@5 79.688 (82.141)
Epoch: [83][10360/14090]	Time 0.763 (0.767)	Data 0.001 (0.001)	Loss 1.7480 (1.7952)	Prec@1 53.125 (52.787)	Prec@5 82.812 (82.138)
Epoch: [83][10370/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 1.8278 (1.7952)	Prec@1 50.781 (52.787)	Prec@5 81.250 (82.140)
Epoch: [83][10380/14090]	Time 0.847 (0.767)	Data 0.001 (0.001)	Loss 1.7646 (1.7952)	Prec@1 52.344 (52.786)	Prec@5 82.812 (82.139)
Epoch: [83][10390/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 1.5011 (1.7952)	Prec@1 58.594 (52.786)	Prec@5 86.719 (82.140)
Epoch: [83][10400/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 1.8334 (1.7952)	Prec@1 49.219 (52.788)	Prec@5 79.688 (82.139)
Epoch: [83][10410/14090]	Time 0.725 (0.767)	Data 0.001 (0.001)	Loss 1.8210 (1.7951)	Prec@1 54.688 (52.790)	Prec@5 80.469 (82.140)
Epoch: [83][10420/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 2.0735 (1.7951)	Prec@1 53.125 (52.791)	Prec@5 76.562 (82.139)
Epoch: [83][10430/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 1.6809 (1.7951)	Prec@1 56.250 (52.791)	Prec@5 83.594 (82.138)
Epoch: [83][10440/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 1.5481 (1.7951)	Prec@1 63.281 (52.793)	Prec@5 87.500 (82.139)
Epoch: [83][10450/14090]	Time 0.911 (0.767)	Data 0.001 (0.001)	Loss 1.7607 (1.7950)	Prec@1 50.781 (52.795)	Prec@5 82.031 (82.140)
Epoch: [83][10460/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 1.6782 (1.7950)	Prec@1 54.688 (52.795)	Prec@5 82.031 (82.141)
Epoch: [83][10470/14090]	Time 0.773 (0.767)	Data 0.001 (0.001)	Loss 1.6190 (1.7951)	Prec@1 57.031 (52.794)	Prec@5 79.688 (82.139)
Epoch: [83][10480/14090]	Time 0.779 (0.767)	Data 0.001 (0.001)	Loss 1.7555 (1.7951)	Prec@1 53.906 (52.792)	Prec@5 82.031 (82.138)
Epoch: [83][10490/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 1.7668 (1.7952)	Prec@1 51.562 (52.791)	Prec@5 85.156 (82.136)
Epoch: [83][10500/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 1.7586 (1.7952)	Prec@1 54.688 (52.791)	Prec@5 82.031 (82.136)
Epoch: [83][10510/14090]	Time 0.727 (0.767)	Data 0.001 (0.001)	Loss 1.5186 (1.7952)	Prec@1 54.688 (52.792)	Prec@5 86.719 (82.136)
Epoch: [83][10520/14090]	Time 0.866 (0.767)	Data 0.001 (0.001)	Loss 1.9109 (1.7952)	Prec@1 57.031 (52.791)	Prec@5 82.812 (82.136)
Epoch: [83][10530/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 1.6216 (1.7953)	Prec@1 60.156 (52.792)	Prec@5 85.938 (82.135)
Epoch: [83][10540/14090]	Time 0.771 (0.767)	Data 0.001 (0.001)	Loss 1.9535 (1.7953)	Prec@1 47.656 (52.790)	Prec@5 78.906 (82.134)
Epoch: [83][10550/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 1.8077 (1.7954)	Prec@1 50.000 (52.791)	Prec@5 81.250 (82.132)
Epoch: [83][10560/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 1.8531 (1.7954)	Prec@1 53.906 (52.790)	Prec@5 77.344 (82.131)
Epoch: [83][10570/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 1.9183 (1.7954)	Prec@1 52.344 (52.789)	Prec@5 81.250 (82.129)
Epoch: [83][10580/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 1.7647 (1.7955)	Prec@1 53.906 (52.789)	Prec@5 85.938 (82.129)
Epoch: [83][10590/14090]	Time 0.886 (0.767)	Data 0.001 (0.001)	Loss 2.0146 (1.7955)	Prec@1 45.312 (52.789)	Prec@5 82.812 (82.130)
Epoch: [83][10600/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 1.9592 (1.7955)	Prec@1 54.688 (52.789)	Prec@5 77.344 (82.129)
Epoch: [83][10610/14090]	Time 0.763 (0.767)	Data 0.001 (0.001)	Loss 1.6571 (1.7955)	Prec@1 57.812 (52.789)	Prec@5 88.281 (82.130)
Epoch: [83][10620/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 1.8621 (1.7955)	Prec@1 52.344 (52.790)	Prec@5 81.250 (82.130)
Epoch: [83][10630/14090]	Time 0.725 (0.767)	Data 0.001 (0.001)	Loss 1.5743 (1.7954)	Prec@1 54.688 (52.793)	Prec@5 85.938 (82.132)
Epoch: [83][10640/14090]	Time 0.765 (0.767)	Data 0.001 (0.001)	Loss 1.8018 (1.7954)	Prec@1 50.781 (52.793)	Prec@5 85.156 (82.132)
Epoch: [83][10650/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 1.5170 (1.7954)	Prec@1 61.719 (52.794)	Prec@5 89.844 (82.134)
Epoch: [83][10660/14090]	Time 0.880 (0.767)	Data 0.001 (0.001)	Loss 1.7415 (1.7954)	Prec@1 51.562 (52.795)	Prec@5 82.031 (82.134)
Epoch: [83][10670/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 1.9991 (1.7954)	Prec@1 46.094 (52.794)	Prec@5 82.812 (82.134)
Epoch: [83][10680/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 1.9481 (1.7954)	Prec@1 50.781 (52.795)	Prec@5 78.906 (82.135)
Epoch: [83][10690/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 1.9374 (1.7955)	Prec@1 46.094 (52.792)	Prec@5 82.812 (82.133)
Epoch: [83][10700/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 1.7623 (1.7956)	Prec@1 51.562 (52.790)	Prec@5 79.688 (82.132)
Epoch: [83][10710/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 1.6775 (1.7956)	Prec@1 51.562 (52.790)	Prec@5 83.594 (82.132)
Epoch: [83][10720/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 1.9312 (1.7957)	Prec@1 50.781 (52.787)	Prec@5 78.125 (82.130)
Epoch: [83][10730/14090]	Time 0.896 (0.767)	Data 0.001 (0.001)	Loss 1.6647 (1.7957)	Prec@1 58.594 (52.789)	Prec@5 82.812 (82.130)
Epoch: [83][10740/14090]	Time 0.778 (0.767)	Data 0.001 (0.001)	Loss 1.9440 (1.7958)	Prec@1 48.438 (52.787)	Prec@5 82.031 (82.130)
Epoch: [83][10750/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 1.6186 (1.7958)	Prec@1 49.219 (52.785)	Prec@5 85.938 (82.131)
Epoch: [83][10760/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 1.6745 (1.7958)	Prec@1 57.031 (52.784)	Prec@5 83.594 (82.130)
Epoch: [83][10770/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 1.6810 (1.7958)	Prec@1 57.812 (52.784)	Prec@5 86.719 (82.130)
Epoch: [83][10780/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 1.7425 (1.7959)	Prec@1 53.906 (52.783)	Prec@5 81.250 (82.129)
Epoch: [83][10790/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 1.7167 (1.7959)	Prec@1 52.344 (52.785)	Prec@5 84.375 (82.128)
Epoch: [83][10800/14090]	Time 0.871 (0.767)	Data 0.001 (0.001)	Loss 1.8004 (1.7958)	Prec@1 56.250 (52.786)	Prec@5 80.469 (82.128)
Epoch: [83][10810/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 1.7775 (1.7958)	Prec@1 56.250 (52.786)	Prec@5 77.344 (82.127)
Epoch: [83][10820/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 1.8442 (1.7958)	Prec@1 48.438 (52.786)	Prec@5 82.812 (82.127)
Epoch: [83][10830/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 1.8922 (1.7960)	Prec@1 48.438 (52.784)	Prec@5 81.250 (82.126)
Epoch: [83][10840/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 1.6806 (1.7960)	Prec@1 56.250 (52.783)	Prec@5 82.031 (82.126)
Epoch: [83][10850/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 1.7135 (1.7961)	Prec@1 55.469 (52.783)	Prec@5 83.594 (82.125)
Epoch: [83][10860/14090]	Time 0.775 (0.767)	Data 0.001 (0.001)	Loss 2.0386 (1.7961)	Prec@1 47.656 (52.780)	Prec@5 81.250 (82.124)
Epoch: [83][10870/14090]	Time 0.856 (0.767)	Data 0.001 (0.001)	Loss 1.5908 (1.7961)	Prec@1 54.688 (52.781)	Prec@5 83.594 (82.125)
Epoch: [83][10880/14090]	Time 0.780 (0.767)	Data 0.001 (0.001)	Loss 1.6931 (1.7961)	Prec@1 55.469 (52.781)	Prec@5 82.031 (82.125)
Epoch: [83][10890/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 1.7060 (1.7961)	Prec@1 55.469 (52.780)	Prec@5 85.156 (82.124)
Epoch: [83][10900/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 1.8434 (1.7962)	Prec@1 54.688 (52.778)	Prec@5 82.812 (82.122)
Epoch: [83][10910/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 2.0525 (1.7962)	Prec@1 45.312 (52.778)	Prec@5 77.344 (82.122)
Epoch: [83][10920/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 1.9049 (1.7962)	Prec@1 48.438 (52.778)	Prec@5 82.812 (82.122)
Epoch: [83][10930/14090]	Time 0.781 (0.767)	Data 0.001 (0.001)	Loss 1.7888 (1.7962)	Prec@1 53.125 (52.777)	Prec@5 82.031 (82.121)
Epoch: [83][10940/14090]	Time 0.881 (0.767)	Data 0.001 (0.001)	Loss 2.0334 (1.7963)	Prec@1 43.750 (52.777)	Prec@5 78.906 (82.120)
Epoch: [83][10950/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 1.6611 (1.7963)	Prec@1 51.562 (52.776)	Prec@5 84.375 (82.119)
Epoch: [83][10960/14090]	Time 0.778 (0.767)	Data 0.001 (0.001)	Loss 2.0187 (1.7963)	Prec@1 46.875 (52.775)	Prec@5 79.688 (82.119)
Epoch: [83][10970/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 1.5474 (1.7963)	Prec@1 60.938 (52.777)	Prec@5 86.719 (82.120)
Epoch: [83][10980/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 1.5515 (1.7963)	Prec@1 56.250 (52.776)	Prec@5 84.375 (82.120)
Epoch: [83][10990/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 1.9521 (1.7963)	Prec@1 57.812 (52.777)	Prec@5 78.125 (82.121)
Epoch: [83][11000/14090]	Time 0.726 (0.767)	Data 0.001 (0.001)	Loss 2.0452 (1.7964)	Prec@1 49.219 (52.774)	Prec@5 80.469 (82.119)
Epoch: [83][11010/14090]	Time 0.875 (0.767)	Data 0.001 (0.001)	Loss 1.6725 (1.7963)	Prec@1 58.594 (52.774)	Prec@5 85.156 (82.120)
Epoch: [83][11020/14090]	Time 0.775 (0.767)	Data 0.001 (0.001)	Loss 1.5860 (1.7963)	Prec@1 57.812 (52.776)	Prec@5 82.812 (82.121)
Epoch: [83][11030/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 1.9869 (1.7962)	Prec@1 44.531 (52.778)	Prec@5 81.250 (82.122)
Epoch: [83][11040/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 1.6320 (1.7962)	Prec@1 58.594 (52.779)	Prec@5 84.375 (82.122)
Epoch: [83][11050/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 2.2121 (1.7962)	Prec@1 45.312 (52.779)	Prec@5 77.344 (82.122)
Epoch: [83][11060/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 1.7640 (1.7963)	Prec@1 53.125 (52.778)	Prec@5 80.469 (82.122)
Epoch: [83][11070/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 1.9017 (1.7963)	Prec@1 51.562 (52.778)	Prec@5 81.250 (82.122)
Epoch: [83][11080/14090]	Time 0.863 (0.767)	Data 0.001 (0.001)	Loss 1.5930 (1.7963)	Prec@1 56.250 (52.778)	Prec@5 84.375 (82.123)
Epoch: [83][11090/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 1.7404 (1.7963)	Prec@1 50.000 (52.779)	Prec@5 84.375 (82.124)
Epoch: [83][11100/14090]	Time 0.725 (0.767)	Data 0.001 (0.001)	Loss 1.5974 (1.7962)	Prec@1 53.906 (52.780)	Prec@5 86.719 (82.125)
Epoch: [83][11110/14090]	Time 0.771 (0.767)	Data 0.001 (0.001)	Loss 2.0040 (1.7963)	Prec@1 51.562 (52.778)	Prec@5 76.562 (82.124)
Epoch: [83][11120/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 1.7582 (1.7964)	Prec@1 55.469 (52.776)	Prec@5 80.469 (82.123)
Epoch: [83][11130/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 1.4232 (1.7963)	Prec@1 57.031 (52.778)	Prec@5 89.062 (82.123)
Epoch: [83][11140/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 1.9386 (1.7963)	Prec@1 49.219 (52.777)	Prec@5 78.906 (82.124)
Epoch: [83][11150/14090]	Time 0.865 (0.767)	Data 0.001 (0.001)	Loss 1.8707 (1.7963)	Prec@1 53.125 (52.780)	Prec@5 83.594 (82.125)
Epoch: [83][11160/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 1.9506 (1.7963)	Prec@1 48.438 (52.779)	Prec@5 77.344 (82.124)
Epoch: [83][11170/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 1.7932 (1.7965)	Prec@1 53.906 (52.776)	Prec@5 81.250 (82.122)
Epoch: [83][11180/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 1.8114 (1.7965)	Prec@1 51.562 (52.773)	Prec@5 78.906 (82.121)
Epoch: [83][11190/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 1.5953 (1.7965)	Prec@1 56.250 (52.772)	Prec@5 85.156 (82.121)
Epoch: [83][11200/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 1.6552 (1.7965)	Prec@1 56.250 (52.772)	Prec@5 86.719 (82.122)
Epoch: [83][11210/14090]	Time 0.764 (0.767)	Data 0.001 (0.001)	Loss 2.0409 (1.7965)	Prec@1 46.094 (52.771)	Prec@5 80.469 (82.121)
Epoch: [83][11220/14090]	Time 0.922 (0.767)	Data 0.001 (0.001)	Loss 1.8332 (1.7967)	Prec@1 50.000 (52.767)	Prec@5 76.562 (82.119)
Epoch: [83][11230/14090]	Time 0.770 (0.767)	Data 0.001 (0.001)	Loss 2.0549 (1.7967)	Prec@1 45.312 (52.768)	Prec@5 81.250 (82.119)
Epoch: [83][11240/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 1.7872 (1.7967)	Prec@1 53.125 (52.768)	Prec@5 80.469 (82.118)
Epoch: [83][11250/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 1.8930 (1.7967)	Prec@1 52.344 (52.770)	Prec@5 81.250 (82.119)
Epoch: [83][11260/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 1.7634 (1.7967)	Prec@1 53.125 (52.769)	Prec@5 82.812 (82.118)
Epoch: [83][11270/14090]	Time 0.780 (0.767)	Data 0.001 (0.001)	Loss 1.7620 (1.7968)	Prec@1 52.344 (52.769)	Prec@5 85.156 (82.117)
Epoch: [83][11280/14090]	Time 0.718 (0.767)	Data 0.001 (0.001)	Loss 1.8704 (1.7968)	Prec@1 52.344 (52.771)	Prec@5 79.688 (82.117)
Epoch: [83][11290/14090]	Time 0.874 (0.767)	Data 0.001 (0.001)	Loss 1.7530 (1.7968)	Prec@1 55.469 (52.769)	Prec@5 84.375 (82.116)
Epoch: [83][11300/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 1.6768 (1.7968)	Prec@1 55.469 (52.770)	Prec@5 82.812 (82.114)
Epoch: [83][11310/14090]	Time 0.728 (0.767)	Data 0.001 (0.001)	Loss 2.0048 (1.7968)	Prec@1 46.875 (52.772)	Prec@5 77.344 (82.116)
Epoch: [83][11320/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 1.8423 (1.7968)	Prec@1 54.688 (52.771)	Prec@5 83.594 (82.115)
Epoch: [83][11330/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 1.5254 (1.7968)	Prec@1 57.031 (52.771)	Prec@5 89.844 (82.116)
Epoch: [83][11340/14090]	Time 0.727 (0.767)	Data 0.001 (0.001)	Loss 1.5208 (1.7967)	Prec@1 60.938 (52.771)	Prec@5 87.500 (82.117)
Epoch: [83][11350/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 2.2008 (1.7967)	Prec@1 44.531 (52.771)	Prec@5 76.562 (82.117)
Epoch: [83][11360/14090]	Time 0.865 (0.767)	Data 0.001 (0.001)	Loss 1.6015 (1.7967)	Prec@1 56.250 (52.773)	Prec@5 85.938 (82.116)
Epoch: [83][11370/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 1.9318 (1.7967)	Prec@1 50.000 (52.772)	Prec@5 78.906 (82.117)
Epoch: [83][11380/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 1.7396 (1.7967)	Prec@1 53.125 (52.773)	Prec@5 85.938 (82.117)
Epoch: [83][11390/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 1.6924 (1.7967)	Prec@1 54.688 (52.773)	Prec@5 82.812 (82.116)
Epoch: [83][11400/14090]	Time 0.727 (0.767)	Data 0.001 (0.001)	Loss 1.7905 (1.7967)	Prec@1 50.000 (52.772)	Prec@5 85.156 (82.115)
Epoch: [83][11410/14090]	Time 0.727 (0.767)	Data 0.001 (0.001)	Loss 1.6164 (1.7967)	Prec@1 60.938 (52.773)	Prec@5 83.594 (82.116)
Epoch: [83][11420/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 1.9089 (1.7966)	Prec@1 55.469 (52.774)	Prec@5 81.250 (82.116)
Epoch: [83][11430/14090]	Time 0.851 (0.767)	Data 0.001 (0.001)	Loss 2.0383 (1.7966)	Prec@1 50.781 (52.775)	Prec@5 80.469 (82.116)
Epoch: [83][11440/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 1.7041 (1.7966)	Prec@1 54.688 (52.775)	Prec@5 83.594 (82.116)
Epoch: [83][11450/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 1.6916 (1.7967)	Prec@1 53.906 (52.774)	Prec@5 82.812 (82.117)
Epoch: [83][11460/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 1.7451 (1.7966)	Prec@1 52.344 (52.774)	Prec@5 83.594 (82.118)
Epoch: [83][11470/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 1.6970 (1.7966)	Prec@1 50.781 (52.774)	Prec@5 87.500 (82.119)
Epoch: [83][11480/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 1.8121 (1.7966)	Prec@1 53.906 (52.774)	Prec@5 81.250 (82.120)
Epoch: [83][11490/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 1.9077 (1.7965)	Prec@1 50.000 (52.775)	Prec@5 79.688 (82.121)
Epoch: [83][11500/14090]	Time 0.861 (0.767)	Data 0.001 (0.001)	Loss 2.0538 (1.7965)	Prec@1 45.312 (52.775)	Prec@5 78.906 (82.119)
Epoch: [83][11510/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 1.8881 (1.7966)	Prec@1 53.125 (52.774)	Prec@5 78.906 (82.119)
Epoch: [83][11520/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 1.6193 (1.7966)	Prec@1 53.125 (52.773)	Prec@5 84.375 (82.117)
Epoch: [83][11530/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 1.9417 (1.7967)	Prec@1 51.562 (52.772)	Prec@5 75.781 (82.117)
Epoch: [83][11540/14090]	Time 0.777 (0.767)	Data 0.001 (0.001)	Loss 1.6903 (1.7967)	Prec@1 59.375 (52.772)	Prec@5 82.031 (82.116)
Epoch: [83][11550/14090]	Time 0.767 (0.767)	Data 0.001 (0.001)	Loss 1.8116 (1.7966)	Prec@1 51.562 (52.773)	Prec@5 79.688 (82.116)
Epoch: [83][11560/14090]	Time 0.779 (0.767)	Data 0.001 (0.001)	Loss 1.5863 (1.7966)	Prec@1 53.906 (52.773)	Prec@5 88.281 (82.116)
Epoch: [83][11570/14090]	Time 0.878 (0.767)	Data 0.001 (0.001)	Loss 1.4040 (1.7966)	Prec@1 61.719 (52.775)	Prec@5 86.719 (82.117)
Epoch: [83][11580/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 2.0074 (1.7966)	Prec@1 46.875 (52.774)	Prec@5 78.906 (82.116)
Epoch: [83][11590/14090]	Time 0.723 (0.767)	Data 0.001 (0.001)	Loss 1.5369 (1.7966)	Prec@1 57.812 (52.775)	Prec@5 86.719 (82.115)
Epoch: [83][11600/14090]	Time 0.763 (0.767)	Data 0.001 (0.001)	Loss 1.6790 (1.7966)	Prec@1 58.594 (52.775)	Prec@5 83.594 (82.116)
Epoch: [83][11610/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 1.7278 (1.7966)	Prec@1 53.125 (52.774)	Prec@5 85.156 (82.116)
Epoch: [83][11620/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 1.7546 (1.7966)	Prec@1 55.469 (52.775)	Prec@5 79.688 (82.116)
Epoch: [83][11630/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 1.8070 (1.7966)	Prec@1 53.906 (52.777)	Prec@5 80.469 (82.116)
Epoch: [83][11640/14090]	Time 0.872 (0.767)	Data 0.001 (0.001)	Loss 2.0688 (1.7966)	Prec@1 50.000 (52.776)	Prec@5 79.688 (82.116)
Epoch: [83][11650/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 2.1594 (1.7966)	Prec@1 44.531 (52.775)	Prec@5 78.906 (82.116)
Epoch: [83][11660/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 1.6768 (1.7967)	Prec@1 56.250 (52.775)	Prec@5 82.812 (82.114)
Epoch: [83][11670/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 1.8031 (1.7966)	Prec@1 50.781 (52.775)	Prec@5 83.594 (82.114)
Epoch: [83][11680/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 1.8171 (1.7967)	Prec@1 50.781 (52.773)	Prec@5 82.031 (82.113)
Epoch: [83][11690/14090]	Time 0.771 (0.767)	Data 0.001 (0.001)	Loss 1.9122 (1.7967)	Prec@1 49.219 (52.772)	Prec@5 81.250 (82.113)
Epoch: [83][11700/14090]	Time 0.782 (0.767)	Data 0.001 (0.001)	Loss 1.4259 (1.7967)	Prec@1 61.719 (52.772)	Prec@5 86.719 (82.113)
Epoch: [83][11710/14090]	Time 0.902 (0.767)	Data 0.001 (0.001)	Loss 1.6646 (1.7967)	Prec@1 54.688 (52.771)	Prec@5 82.031 (82.113)
Epoch: [83][11720/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 1.9408 (1.7968)	Prec@1 50.000 (52.769)	Prec@5 82.812 (82.113)
Epoch: [83][11730/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 1.7854 (1.7968)	Prec@1 53.906 (52.769)	Prec@5 82.812 (82.113)
Epoch: [83][11740/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 1.9681 (1.7969)	Prec@1 46.094 (52.768)	Prec@5 79.688 (82.110)
Epoch: [83][11750/14090]	Time 0.775 (0.767)	Data 0.001 (0.001)	Loss 1.8702 (1.7969)	Prec@1 50.000 (52.767)	Prec@5 82.812 (82.109)
Epoch: [83][11760/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 1.7348 (1.7968)	Prec@1 52.344 (52.768)	Prec@5 82.031 (82.110)
Epoch: [83][11770/14090]	Time 0.726 (0.767)	Data 0.001 (0.001)	Loss 1.7879 (1.7968)	Prec@1 51.562 (52.769)	Prec@5 82.031 (82.109)
Epoch: [83][11780/14090]	Time 0.900 (0.767)	Data 0.001 (0.001)	Loss 1.9143 (1.7969)	Prec@1 53.125 (52.768)	Prec@5 77.344 (82.108)
Epoch: [83][11790/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 1.7609 (1.7969)	Prec@1 51.562 (52.768)	Prec@5 88.281 (82.107)
Epoch: [83][11800/14090]	Time 0.773 (0.767)	Data 0.001 (0.001)	Loss 1.6687 (1.7969)	Prec@1 57.812 (52.768)	Prec@5 85.938 (82.107)
Epoch: [83][11810/14090]	Time 0.789 (0.767)	Data 0.001 (0.001)	Loss 1.8681 (1.7969)	Prec@1 55.469 (52.769)	Prec@5 78.906 (82.108)
Epoch: [83][11820/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 2.0253 (1.7969)	Prec@1 50.781 (52.769)	Prec@5 79.688 (82.108)
Epoch: [83][11830/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 1.8697 (1.7969)	Prec@1 53.906 (52.768)	Prec@5 78.125 (82.107)
Epoch: [83][11840/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 1.5611 (1.7970)	Prec@1 57.031 (52.769)	Prec@5 89.062 (82.106)
Epoch: [83][11850/14090]	Time 0.854 (0.767)	Data 0.001 (0.001)	Loss 1.5683 (1.7969)	Prec@1 59.375 (52.771)	Prec@5 85.938 (82.109)
Epoch: [83][11860/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 1.7593 (1.7969)	Prec@1 54.688 (52.772)	Prec@5 82.812 (82.109)
Epoch: [83][11870/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 1.5667 (1.7968)	Prec@1 54.688 (52.773)	Prec@5 85.156 (82.109)
Epoch: [83][11880/14090]	Time 0.763 (0.767)	Data 0.001 (0.001)	Loss 1.8422 (1.7968)	Prec@1 48.438 (52.772)	Prec@5 78.906 (82.109)
Epoch: [83][11890/14090]	Time 0.767 (0.767)	Data 0.001 (0.001)	Loss 1.8339 (1.7968)	Prec@1 54.688 (52.771)	Prec@5 80.469 (82.109)
Epoch: [83][11900/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 1.9599 (1.7969)	Prec@1 39.062 (52.769)	Prec@5 82.031 (82.109)
Epoch: [83][11910/14090]	Time 0.720 (0.767)	Data 0.001 (0.001)	Loss 1.9061 (1.7969)	Prec@1 45.312 (52.768)	Prec@5 82.031 (82.108)
Epoch: [83][11920/14090]	Time 0.882 (0.767)	Data 0.001 (0.001)	Loss 1.9806 (1.7970)	Prec@1 46.875 (52.767)	Prec@5 82.031 (82.107)
Epoch: [83][11930/14090]	Time 0.727 (0.767)	Data 0.001 (0.001)	Loss 1.8582 (1.7970)	Prec@1 53.125 (52.767)	Prec@5 83.594 (82.108)
Epoch: [83][11940/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 1.8497 (1.7971)	Prec@1 53.125 (52.765)	Prec@5 79.688 (82.106)
Epoch: [83][11950/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 1.6207 (1.7971)	Prec@1 53.906 (52.763)	Prec@5 85.938 (82.104)
Epoch: [83][11960/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 1.5338 (1.7971)	Prec@1 58.594 (52.763)	Prec@5 88.281 (82.105)
Epoch: [83][11970/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 1.6237 (1.7970)	Prec@1 60.156 (52.765)	Prec@5 81.250 (82.106)
Epoch: [83][11980/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 1.8441 (1.7971)	Prec@1 53.125 (52.765)	Prec@5 80.469 (82.104)
Epoch: [83][11990/14090]	Time 0.842 (0.767)	Data 0.001 (0.001)	Loss 2.0017 (1.7971)	Prec@1 47.656 (52.764)	Prec@5 80.469 (82.104)
Epoch: [83][12000/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 1.5606 (1.7971)	Prec@1 50.781 (52.764)	Prec@5 84.375 (82.104)
Epoch: [83][12010/14090]	Time 0.724 (0.767)	Data 0.001 (0.001)	Loss 1.8181 (1.7971)	Prec@1 53.906 (52.765)	Prec@5 81.250 (82.104)
Epoch: [83][12020/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 1.9667 (1.7970)	Prec@1 46.875 (52.765)	Prec@5 79.688 (82.105)
Epoch: [83][12030/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 1.8722 (1.7970)	Prec@1 57.031 (52.766)	Prec@5 81.250 (82.107)
Epoch: [83][12040/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 1.6730 (1.7971)	Prec@1 52.344 (52.762)	Prec@5 87.500 (82.106)
Epoch: [83][12050/14090]	Time 0.748 (0.767)	Data 0.003 (0.001)	Loss 1.6392 (1.7971)	Prec@1 53.125 (52.762)	Prec@5 84.375 (82.107)
Epoch: [83][12060/14090]	Time 0.868 (0.767)	Data 0.001 (0.001)	Loss 1.5848 (1.7972)	Prec@1 53.906 (52.760)	Prec@5 85.938 (82.106)
Epoch: [83][12070/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 1.4667 (1.7972)	Prec@1 55.469 (52.758)	Prec@5 89.062 (82.104)
Epoch: [83][12080/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 1.8304 (1.7973)	Prec@1 54.688 (52.757)	Prec@5 81.250 (82.104)
Epoch: [83][12090/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 2.0076 (1.7972)	Prec@1 42.969 (52.758)	Prec@5 76.562 (82.105)
Epoch: [83][12100/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 1.7891 (1.7972)	Prec@1 43.750 (52.759)	Prec@5 86.719 (82.106)
Epoch: [83][12110/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 1.6137 (1.7972)	Prec@1 52.344 (52.757)	Prec@5 83.594 (82.103)
Epoch: [83][12120/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 1.8047 (1.7972)	Prec@1 52.344 (52.757)	Prec@5 81.250 (82.103)
Epoch: [83][12130/14090]	Time 0.848 (0.767)	Data 0.001 (0.001)	Loss 1.5589 (1.7972)	Prec@1 54.688 (52.756)	Prec@5 89.844 (82.103)
Epoch: [83][12140/14090]	Time 0.743 (0.767)	Data 0.004 (0.001)	Loss 1.7671 (1.7973)	Prec@1 50.781 (52.754)	Prec@5 81.250 (82.100)
Epoch: [83][12150/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 1.7486 (1.7974)	Prec@1 50.000 (52.752)	Prec@5 84.375 (82.099)
Epoch: [83][12160/14090]	Time 0.742 (0.767)	Data 0.001 (0.001)	Loss 1.9259 (1.7974)	Prec@1 55.469 (52.754)	Prec@5 78.906 (82.100)
Epoch: [83][12170/14090]	Time 0.766 (0.767)	Data 0.001 (0.001)	Loss 1.9346 (1.7973)	Prec@1 47.656 (52.755)	Prec@5 76.562 (82.102)
Epoch: [83][12180/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 1.5814 (1.7973)	Prec@1 61.719 (52.755)	Prec@5 82.031 (82.101)
Epoch: [83][12190/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 1.7199 (1.7973)	Prec@1 56.250 (52.755)	Prec@5 77.344 (82.101)
Epoch: [83][12200/14090]	Time 0.867 (0.767)	Data 0.001 (0.001)	Loss 1.7558 (1.7973)	Prec@1 49.219 (52.757)	Prec@5 82.031 (82.101)
Epoch: [83][12210/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 1.8706 (1.7972)	Prec@1 49.219 (52.757)	Prec@5 75.781 (82.101)
Epoch: [83][12220/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 1.9738 (1.7973)	Prec@1 47.656 (52.757)	Prec@5 78.125 (82.101)
Epoch: [83][12230/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 1.8348 (1.7973)	Prec@1 46.875 (52.757)	Prec@5 83.594 (82.099)
Epoch: [83][12240/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 1.9452 (1.7974)	Prec@1 45.312 (52.756)	Prec@5 82.812 (82.098)
Epoch: [83][12250/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 1.7547 (1.7973)	Prec@1 53.906 (52.756)	Prec@5 82.031 (82.099)
Epoch: [83][12260/14090]	Time 0.775 (0.767)	Data 0.001 (0.001)	Loss 1.9222 (1.7973)	Prec@1 46.094 (52.756)	Prec@5 81.250 (82.099)
Epoch: [83][12270/14090]	Time 0.852 (0.767)	Data 0.001 (0.001)	Loss 1.7899 (1.7973)	Prec@1 54.688 (52.757)	Prec@5 82.031 (82.099)
Epoch: [83][12280/14090]	Time 0.779 (0.767)	Data 0.001 (0.001)	Loss 1.9349 (1.7973)	Prec@1 47.656 (52.757)	Prec@5 81.250 (82.099)
Epoch: [83][12290/14090]	Time 0.749 (0.767)	Data 0.002 (0.001)	Loss 1.7738 (1.7974)	Prec@1 54.688 (52.756)	Prec@5 78.125 (82.098)
Epoch: [83][12300/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 1.9013 (1.7974)	Prec@1 45.312 (52.756)	Prec@5 79.688 (82.098)
Epoch: [83][12310/14090]	Time 0.737 (0.767)	Data 0.001 (0.001)	Loss 1.6439 (1.7974)	Prec@1 60.156 (52.755)	Prec@5 85.938 (82.097)
Epoch: [83][12320/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 1.9455 (1.7974)	Prec@1 51.562 (52.756)	Prec@5 76.562 (82.097)
Epoch: [83][12330/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 1.6036 (1.7974)	Prec@1 51.562 (52.755)	Prec@5 89.844 (82.098)
Epoch: [83][12340/14090]	Time 0.856 (0.767)	Data 0.001 (0.001)	Loss 1.6358 (1.7973)	Prec@1 57.031 (52.756)	Prec@5 83.594 (82.098)
Epoch: [83][12350/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 2.0820 (1.7974)	Prec@1 42.969 (52.754)	Prec@5 80.469 (82.097)
Epoch: [83][12360/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 1.9999 (1.7974)	Prec@1 50.000 (52.755)	Prec@5 79.688 (82.098)
Epoch: [83][12370/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 1.7458 (1.7974)	Prec@1 56.250 (52.755)	Prec@5 83.594 (82.098)
Epoch: [83][12380/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 1.7203 (1.7974)	Prec@1 53.906 (52.754)	Prec@5 85.156 (82.096)
Epoch: [83][12390/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 1.7059 (1.7974)	Prec@1 53.125 (52.754)	Prec@5 81.250 (82.096)
Epoch: [83][12400/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 1.5001 (1.7974)	Prec@1 60.156 (52.758)	Prec@5 88.281 (82.097)
Epoch: [83][12410/14090]	Time 0.881 (0.767)	Data 0.001 (0.001)	Loss 1.8950 (1.7974)	Prec@1 45.312 (52.757)	Prec@5 79.688 (82.096)
Epoch: [83][12420/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 2.0849 (1.7974)	Prec@1 46.875 (52.758)	Prec@5 75.000 (82.097)
Epoch: [83][12430/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 1.6842 (1.7974)	Prec@1 56.250 (52.758)	Prec@5 85.938 (82.097)
Epoch: [83][12440/14090]	Time 0.766 (0.767)	Data 0.001 (0.001)	Loss 1.7766 (1.7974)	Prec@1 51.562 (52.758)	Prec@5 81.250 (82.097)
Epoch: [83][12450/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 2.0671 (1.7974)	Prec@1 50.781 (52.757)	Prec@5 77.344 (82.097)
Epoch: [83][12460/14090]	Time 0.718 (0.767)	Data 0.001 (0.001)	Loss 1.6716 (1.7974)	Prec@1 56.250 (52.759)	Prec@5 83.594 (82.097)
Epoch: [83][12470/14090]	Time 0.781 (0.767)	Data 0.001 (0.001)	Loss 1.6376 (1.7974)	Prec@1 57.031 (52.758)	Prec@5 83.594 (82.095)
Epoch: [83][12480/14090]	Time 0.861 (0.767)	Data 0.002 (0.001)	Loss 1.8193 (1.7974)	Prec@1 52.344 (52.760)	Prec@5 76.562 (82.095)
Epoch: [83][12490/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 1.7244 (1.7975)	Prec@1 50.000 (52.758)	Prec@5 85.156 (82.095)
Epoch: [83][12500/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 1.5645 (1.7975)	Prec@1 54.688 (52.758)	Prec@5 84.375 (82.094)
Epoch: [83][12510/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 1.8859 (1.7975)	Prec@1 57.031 (52.759)	Prec@5 82.031 (82.094)
Epoch: [83][12520/14090]	Time 0.726 (0.767)	Data 0.001 (0.001)	Loss 1.8237 (1.7976)	Prec@1 54.688 (52.759)	Prec@5 80.469 (82.092)
Epoch: [83][12530/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 1.7345 (1.7976)	Prec@1 57.031 (52.758)	Prec@5 81.250 (82.090)
Epoch: [83][12540/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 1.7734 (1.7976)	Prec@1 49.219 (52.757)	Prec@5 82.031 (82.091)
Epoch: [83][12550/14090]	Time 0.912 (0.767)	Data 0.001 (0.001)	Loss 1.8738 (1.7976)	Prec@1 54.688 (52.757)	Prec@5 78.906 (82.090)
Epoch: [83][12560/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 1.8186 (1.7977)	Prec@1 50.000 (52.756)	Prec@5 81.250 (82.090)
Epoch: [83][12570/14090]	Time 0.763 (0.767)	Data 0.001 (0.001)	Loss 1.8279 (1.7977)	Prec@1 56.250 (52.755)	Prec@5 79.688 (82.089)
Epoch: [83][12580/14090]	Time 0.787 (0.767)	Data 0.001 (0.001)	Loss 1.9432 (1.7978)	Prec@1 48.438 (52.754)	Prec@5 81.250 (82.087)
Epoch: [83][12590/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 1.6083 (1.7978)	Prec@1 49.219 (52.752)	Prec@5 85.938 (82.086)
Epoch: [83][12600/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 1.8250 (1.7978)	Prec@1 53.906 (52.752)	Prec@5 82.031 (82.086)
Epoch: [83][12610/14090]	Time 0.726 (0.767)	Data 0.001 (0.001)	Loss 2.0276 (1.7978)	Prec@1 49.219 (52.752)	Prec@5 78.125 (82.086)
Epoch: [83][12620/14090]	Time 0.874 (0.767)	Data 0.001 (0.001)	Loss 1.8256 (1.7978)	Prec@1 53.906 (52.751)	Prec@5 84.375 (82.087)
Epoch: [83][12630/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 1.7994 (1.7978)	Prec@1 53.906 (52.752)	Prec@5 85.156 (82.087)
Epoch: [83][12640/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 1.9109 (1.7977)	Prec@1 52.344 (52.752)	Prec@5 78.906 (82.087)
Epoch: [83][12650/14090]	Time 0.726 (0.767)	Data 0.001 (0.001)	Loss 1.6610 (1.7977)	Prec@1 57.031 (52.751)	Prec@5 84.375 (82.088)
Epoch: [83][12660/14090]	Time 0.726 (0.767)	Data 0.001 (0.001)	Loss 1.7648 (1.7978)	Prec@1 52.344 (52.750)	Prec@5 84.375 (82.087)
Epoch: [83][12670/14090]	Time 0.765 (0.767)	Data 0.001 (0.001)	Loss 1.8963 (1.7979)	Prec@1 46.094 (52.748)	Prec@5 79.688 (82.086)
Epoch: [83][12680/14090]	Time 0.744 (0.767)	Data 0.001 (0.001)	Loss 1.9309 (1.7979)	Prec@1 53.906 (52.746)	Prec@5 82.031 (82.084)
Epoch: [83][12690/14090]	Time 0.849 (0.767)	Data 0.001 (0.001)	Loss 1.9946 (1.7980)	Prec@1 50.000 (52.745)	Prec@5 78.906 (82.085)
Epoch: [83][12700/14090]	Time 0.770 (0.767)	Data 0.001 (0.001)	Loss 1.5669 (1.7980)	Prec@1 58.594 (52.745)	Prec@5 87.500 (82.085)
Epoch: [83][12710/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 2.0397 (1.7980)	Prec@1 50.781 (52.744)	Prec@5 76.562 (82.085)
Epoch: [83][12720/14090]	Time 0.765 (0.767)	Data 0.001 (0.001)	Loss 1.7085 (1.7979)	Prec@1 56.250 (52.745)	Prec@5 84.375 (82.086)
Epoch: [83][12730/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 1.7711 (1.7980)	Prec@1 53.125 (52.743)	Prec@5 83.594 (82.085)
Epoch: [83][12740/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 1.9544 (1.7980)	Prec@1 51.562 (52.744)	Prec@5 79.688 (82.085)
Epoch: [83][12750/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 1.6362 (1.7980)	Prec@1 53.906 (52.743)	Prec@5 86.719 (82.085)
Epoch: [83][12760/14090]	Time 0.881 (0.767)	Data 0.001 (0.001)	Loss 1.6287 (1.7980)	Prec@1 60.938 (52.742)	Prec@5 85.156 (82.085)
Epoch: [83][12770/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 1.5999 (1.7980)	Prec@1 55.469 (52.742)	Prec@5 82.812 (82.085)
Epoch: [83][12780/14090]	Time 0.724 (0.767)	Data 0.001 (0.001)	Loss 1.8128 (1.7980)	Prec@1 51.562 (52.742)	Prec@5 82.031 (82.084)
Epoch: [83][12790/14090]	Time 0.779 (0.767)	Data 0.001 (0.001)	Loss 1.4652 (1.7980)	Prec@1 55.469 (52.743)	Prec@5 89.844 (82.086)
Epoch: [83][12800/14090]	Time 0.778 (0.767)	Data 0.001 (0.001)	Loss 1.7272 (1.7980)	Prec@1 56.250 (52.744)	Prec@5 83.594 (82.085)
Epoch: [83][12810/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 1.7298 (1.7980)	Prec@1 51.562 (52.744)	Prec@5 83.594 (82.086)
Epoch: [83][12820/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 1.5283 (1.7979)	Prec@1 61.719 (52.745)	Prec@5 89.844 (82.086)
Epoch: [83][12830/14090]	Time 0.884 (0.767)	Data 0.001 (0.001)	Loss 1.6955 (1.7980)	Prec@1 53.906 (52.745)	Prec@5 84.375 (82.085)
Epoch: [83][12840/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 2.0010 (1.7980)	Prec@1 52.344 (52.745)	Prec@5 75.000 (82.085)
Epoch: [83][12850/14090]	Time 0.748 (0.767)	Data 0.001 (0.001)	Loss 1.9361 (1.7980)	Prec@1 50.000 (52.745)	Prec@5 78.906 (82.084)
Epoch: [83][12860/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 1.9100 (1.7981)	Prec@1 50.781 (52.743)	Prec@5 82.812 (82.082)
Epoch: [83][12870/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 1.9325 (1.7982)	Prec@1 50.781 (52.741)	Prec@5 81.250 (82.081)
Epoch: [83][12880/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 2.0628 (1.7982)	Prec@1 56.250 (52.742)	Prec@5 77.344 (82.081)
Epoch: [83][12890/14090]	Time 0.733 (0.767)	Data 0.001 (0.001)	Loss 1.8530 (1.7982)	Prec@1 55.469 (52.741)	Prec@5 82.812 (82.080)
Epoch: [83][12900/14090]	Time 0.866 (0.767)	Data 0.001 (0.001)	Loss 1.6249 (1.7982)	Prec@1 57.031 (52.740)	Prec@5 83.594 (82.080)
Epoch: [83][12910/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 1.6533 (1.7982)	Prec@1 53.906 (52.740)	Prec@5 85.156 (82.081)
Epoch: [83][12920/14090]	Time 0.777 (0.767)	Data 0.001 (0.001)	Loss 1.8973 (1.7983)	Prec@1 50.781 (52.738)	Prec@5 80.469 (82.080)
Epoch: [83][12930/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 1.7744 (1.7983)	Prec@1 55.469 (52.739)	Prec@5 81.250 (82.080)
Epoch: [83][12940/14090]	Time 0.738 (0.767)	Data 0.001 (0.001)	Loss 1.7159 (1.7983)	Prec@1 53.906 (52.738)	Prec@5 81.250 (82.079)
Epoch: [83][12950/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 1.8412 (1.7983)	Prec@1 52.344 (52.737)	Prec@5 79.688 (82.079)
Epoch: [83][12960/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 1.7383 (1.7983)	Prec@1 50.000 (52.737)	Prec@5 82.031 (82.079)
Epoch: [83][12970/14090]	Time 0.870 (0.767)	Data 0.001 (0.001)	Loss 1.6646 (1.7983)	Prec@1 54.688 (52.737)	Prec@5 85.938 (82.080)
Epoch: [83][12980/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 1.8121 (1.7984)	Prec@1 53.125 (52.737)	Prec@5 81.250 (82.080)
Epoch: [83][12990/14090]	Time 0.780 (0.767)	Data 0.001 (0.001)	Loss 1.8396 (1.7984)	Prec@1 52.344 (52.736)	Prec@5 83.594 (82.080)
Epoch: [83][13000/14090]	Time 0.766 (0.767)	Data 0.001 (0.001)	Loss 1.8170 (1.7984)	Prec@1 53.125 (52.735)	Prec@5 81.250 (82.080)
Epoch: [83][13010/14090]	Time 0.770 (0.767)	Data 0.001 (0.001)	Loss 1.7347 (1.7984)	Prec@1 54.688 (52.736)	Prec@5 83.594 (82.079)
Epoch: [83][13020/14090]	Time 0.728 (0.767)	Data 0.002 (0.001)	Loss 1.8940 (1.7985)	Prec@1 52.344 (52.734)	Prec@5 82.812 (82.080)
Epoch: [83][13030/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 1.6418 (1.7985)	Prec@1 56.250 (52.734)	Prec@5 90.625 (82.080)
Epoch: [83][13040/14090]	Time 0.935 (0.767)	Data 0.001 (0.001)	Loss 1.8776 (1.7985)	Prec@1 53.125 (52.732)	Prec@5 82.031 (82.079)
Epoch: [83][13050/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 1.8511 (1.7986)	Prec@1 56.250 (52.732)	Prec@5 80.469 (82.077)
Epoch: [83][13060/14090]	Time 0.770 (0.767)	Data 0.001 (0.001)	Loss 1.7550 (1.7986)	Prec@1 58.594 (52.733)	Prec@5 82.031 (82.078)
Epoch: [83][13070/14090]	Time 0.763 (0.767)	Data 0.001 (0.001)	Loss 1.7358 (1.7985)	Prec@1 53.125 (52.733)	Prec@5 84.375 (82.078)
Epoch: [83][13080/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 1.7638 (1.7986)	Prec@1 56.250 (52.732)	Prec@5 81.250 (82.077)
Epoch: [83][13090/14090]	Time 0.722 (0.767)	Data 0.001 (0.001)	Loss 1.8690 (1.7986)	Prec@1 53.125 (52.733)	Prec@5 83.594 (82.077)
Epoch: [83][13100/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 1.7290 (1.7986)	Prec@1 50.000 (52.733)	Prec@5 84.375 (82.077)
Epoch: [83][13110/14090]	Time 0.872 (0.767)	Data 0.001 (0.001)	Loss 2.1355 (1.7986)	Prec@1 43.750 (52.732)	Prec@5 73.438 (82.075)
Epoch: [83][13120/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 1.4933 (1.7986)	Prec@1 59.375 (52.733)	Prec@5 89.062 (82.076)
Epoch: [83][13130/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 2.1620 (1.7986)	Prec@1 46.875 (52.733)	Prec@5 77.344 (82.076)
Epoch: [83][13140/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 2.0101 (1.7987)	Prec@1 48.438 (52.731)	Prec@5 79.688 (82.074)
Epoch: [83][13150/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 1.6380 (1.7987)	Prec@1 57.812 (52.730)	Prec@5 85.938 (82.075)
Epoch: [83][13160/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 2.0421 (1.7987)	Prec@1 46.875 (52.731)	Prec@5 79.688 (82.076)
Epoch: [83][13170/14090]	Time 0.748 (0.767)	Data 0.002 (0.001)	Loss 2.1366 (1.7987)	Prec@1 42.969 (52.730)	Prec@5 77.344 (82.075)
Epoch: [83][13180/14090]	Time 0.849 (0.767)	Data 0.002 (0.001)	Loss 1.9882 (1.7988)	Prec@1 48.438 (52.729)	Prec@5 78.906 (82.074)
Epoch: [83][13190/14090]	Time 0.784 (0.767)	Data 0.001 (0.001)	Loss 1.7391 (1.7987)	Prec@1 50.781 (52.730)	Prec@5 85.156 (82.075)
Epoch: [83][13200/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 1.4233 (1.7988)	Prec@1 58.594 (52.728)	Prec@5 92.188 (82.075)
Epoch: [83][13210/14090]	Time 0.724 (0.767)	Data 0.001 (0.001)	Loss 1.9265 (1.7988)	Prec@1 47.656 (52.727)	Prec@5 78.125 (82.075)
Epoch: [83][13220/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 2.0960 (1.7988)	Prec@1 47.656 (52.727)	Prec@5 75.000 (82.074)
Epoch: [83][13230/14090]	Time 0.764 (0.767)	Data 0.001 (0.001)	Loss 1.8675 (1.7989)	Prec@1 53.125 (52.726)	Prec@5 81.250 (82.074)
Epoch: [83][13240/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 1.8759 (1.7989)	Prec@1 52.344 (52.727)	Prec@5 78.906 (82.074)
Epoch: [83][13250/14090]	Time 0.881 (0.767)	Data 0.001 (0.001)	Loss 1.8306 (1.7989)	Prec@1 54.688 (52.727)	Prec@5 80.469 (82.073)
Epoch: [83][13260/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 1.9282 (1.7989)	Prec@1 46.875 (52.727)	Prec@5 80.469 (82.073)
Epoch: [83][13270/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 1.9624 (1.7989)	Prec@1 51.562 (52.727)	Prec@5 79.688 (82.073)
Epoch: [83][13280/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 1.6053 (1.7989)	Prec@1 55.469 (52.726)	Prec@5 81.250 (82.072)
Epoch: [83][13290/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 1.8241 (1.7990)	Prec@1 51.562 (52.724)	Prec@5 82.031 (82.072)
Epoch: [83][13300/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 1.5753 (1.7989)	Prec@1 59.375 (52.725)	Prec@5 84.375 (82.072)
Epoch: [83][13310/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 1.5171 (1.7990)	Prec@1 60.156 (52.721)	Prec@5 88.281 (82.070)
Epoch: [83][13320/14090]	Time 0.890 (0.767)	Data 0.001 (0.001)	Loss 1.5284 (1.7990)	Prec@1 59.375 (52.723)	Prec@5 86.719 (82.071)
Epoch: [83][13330/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 1.8904 (1.7991)	Prec@1 53.125 (52.722)	Prec@5 80.469 (82.069)
Epoch: [83][13340/14090]	Time 0.727 (0.767)	Data 0.001 (0.001)	Loss 1.8538 (1.7991)	Prec@1 46.094 (52.720)	Prec@5 82.812 (82.067)
Epoch: [83][13350/14090]	Time 0.771 (0.767)	Data 0.002 (0.001)	Loss 1.6968 (1.7991)	Prec@1 60.938 (52.722)	Prec@5 81.250 (82.068)
Epoch: [83][13360/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 1.7573 (1.7991)	Prec@1 55.469 (52.722)	Prec@5 83.594 (82.068)
Epoch: [83][13370/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 1.7504 (1.7990)	Prec@1 51.562 (52.724)	Prec@5 84.375 (82.070)
Epoch: [83][13380/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 2.1018 (1.7991)	Prec@1 45.312 (52.722)	Prec@5 75.000 (82.069)
Epoch: [83][13390/14090]	Time 0.883 (0.767)	Data 0.001 (0.001)	Loss 1.7896 (1.7991)	Prec@1 47.656 (52.724)	Prec@5 79.688 (82.069)
Epoch: [83][13400/14090]	Time 0.768 (0.767)	Data 0.001 (0.001)	Loss 2.0261 (1.7991)	Prec@1 42.969 (52.724)	Prec@5 82.031 (82.068)
Epoch: [83][13410/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 1.7691 (1.7991)	Prec@1 49.219 (52.724)	Prec@5 84.375 (82.067)
Epoch: [83][13420/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 1.8783 (1.7992)	Prec@1 57.812 (52.723)	Prec@5 76.562 (82.067)
Epoch: [83][13430/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 1.9673 (1.7992)	Prec@1 47.656 (52.723)	Prec@5 81.250 (82.066)
Epoch: [83][13440/14090]	Time 0.731 (0.767)	Data 0.001 (0.001)	Loss 1.8661 (1.7993)	Prec@1 45.312 (52.721)	Prec@5 85.156 (82.066)
Epoch: [83][13450/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 1.7062 (1.7993)	Prec@1 47.656 (52.720)	Prec@5 80.469 (82.065)
Epoch: [83][13460/14090]	Time 0.812 (0.767)	Data 0.001 (0.001)	Loss 1.7091 (1.7993)	Prec@1 50.781 (52.718)	Prec@5 83.594 (82.064)
Epoch: [83][13470/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 1.7276 (1.7994)	Prec@1 51.562 (52.717)	Prec@5 81.250 (82.063)
Epoch: [83][13480/14090]	Time 0.724 (0.767)	Data 0.001 (0.001)	Loss 1.8091 (1.7994)	Prec@1 52.344 (52.716)	Prec@5 83.594 (82.062)
Epoch: [83][13490/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 2.0082 (1.7994)	Prec@1 53.906 (52.717)	Prec@5 77.344 (82.062)
Epoch: [83][13500/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 1.8951 (1.7994)	Prec@1 51.562 (52.717)	Prec@5 82.812 (82.062)
Epoch: [83][13510/14090]	Time 0.771 (0.767)	Data 0.001 (0.001)	Loss 1.8056 (1.7994)	Prec@1 53.906 (52.718)	Prec@5 79.688 (82.063)
Epoch: [83][13520/14090]	Time 0.749 (0.767)	Data 0.001 (0.001)	Loss 1.6731 (1.7994)	Prec@1 56.250 (52.717)	Prec@5 84.375 (82.063)
Epoch: [83][13530/14090]	Time 0.850 (0.767)	Data 0.001 (0.001)	Loss 1.8406 (1.7994)	Prec@1 52.344 (52.716)	Prec@5 79.688 (82.061)
Epoch: [83][13540/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 1.5828 (1.7994)	Prec@1 55.469 (52.716)	Prec@5 87.500 (82.062)
Epoch: [83][13550/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 1.6234 (1.7994)	Prec@1 57.031 (52.718)	Prec@5 82.031 (82.064)
Epoch: [83][13560/14090]	Time 0.781 (0.766)	Data 0.001 (0.001)	Loss 2.0719 (1.7994)	Prec@1 43.750 (52.718)	Prec@5 79.688 (82.064)
Epoch: [83][13570/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 1.9385 (1.7994)	Prec@1 52.344 (52.718)	Prec@5 78.906 (82.064)
Epoch: [83][13580/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 2.0702 (1.7994)	Prec@1 48.438 (52.717)	Prec@5 75.000 (82.064)
Epoch: [83][13590/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 1.9869 (1.7994)	Prec@1 45.312 (52.719)	Prec@5 78.125 (82.064)
Epoch: [83][13600/14090]	Time 0.869 (0.766)	Data 0.001 (0.001)	Loss 1.9877 (1.7994)	Prec@1 48.438 (52.718)	Prec@5 75.781 (82.063)
Epoch: [83][13610/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 1.6470 (1.7994)	Prec@1 56.250 (52.717)	Prec@5 86.719 (82.063)
Epoch: [83][13620/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 1.7265 (1.7994)	Prec@1 52.344 (52.718)	Prec@5 86.719 (82.064)
Epoch: [83][13630/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 1.9098 (1.7995)	Prec@1 46.094 (52.716)	Prec@5 81.250 (82.063)
Epoch: [83][13640/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 1.7728 (1.7995)	Prec@1 50.781 (52.715)	Prec@5 86.719 (82.063)
Epoch: [83][13650/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 1.7907 (1.7995)	Prec@1 50.000 (52.715)	Prec@5 83.594 (82.062)
Epoch: [83][13660/14090]	Time 0.778 (0.766)	Data 0.001 (0.001)	Loss 1.6481 (1.7996)	Prec@1 58.594 (52.714)	Prec@5 84.375 (82.060)
Epoch: [83][13670/14090]	Time 0.883 (0.766)	Data 0.001 (0.001)	Loss 1.8430 (1.7996)	Prec@1 50.781 (52.712)	Prec@5 78.906 (82.060)
Epoch: [83][13680/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 1.8706 (1.7997)	Prec@1 46.875 (52.711)	Prec@5 82.031 (82.059)
Epoch: [83][13690/14090]	Time 0.772 (0.766)	Data 0.001 (0.001)	Loss 1.6766 (1.7997)	Prec@1 56.250 (52.710)	Prec@5 83.594 (82.060)
Epoch: [83][13700/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 1.7431 (1.7997)	Prec@1 59.375 (52.710)	Prec@5 81.250 (82.058)
Epoch: [83][13710/14090]	Time 0.767 (0.766)	Data 0.001 (0.001)	Loss 1.7049 (1.7997)	Prec@1 55.469 (52.711)	Prec@5 83.594 (82.059)
Epoch: [83][13720/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 1.5604 (1.7996)	Prec@1 60.938 (52.713)	Prec@5 82.031 (82.059)
Epoch: [83][13730/14090]	Time 0.765 (0.766)	Data 0.001 (0.001)	Loss 1.7559 (1.7996)	Prec@1 54.688 (52.713)	Prec@5 79.688 (82.059)
Epoch: [83][13740/14090]	Time 0.865 (0.766)	Data 0.001 (0.001)	Loss 1.6622 (1.7996)	Prec@1 57.812 (52.715)	Prec@5 85.938 (82.060)
Epoch: [83][13750/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 1.8280 (1.7996)	Prec@1 53.125 (52.715)	Prec@5 82.812 (82.060)
Epoch: [83][13760/14090]	Time 0.720 (0.766)	Data 0.001 (0.001)	Loss 1.7935 (1.7995)	Prec@1 49.219 (52.714)	Prec@5 84.375 (82.060)
Epoch: [83][13770/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 1.8450 (1.7996)	Prec@1 52.344 (52.713)	Prec@5 81.250 (82.060)
Epoch: [83][13780/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 1.9328 (1.7996)	Prec@1 44.531 (52.712)	Prec@5 80.469 (82.059)
Epoch: [83][13790/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 1.8344 (1.7996)	Prec@1 50.000 (52.712)	Prec@5 81.250 (82.060)
Epoch: [83][13800/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 1.8004 (1.7995)	Prec@1 59.375 (52.714)	Prec@5 77.344 (82.059)
Epoch: [83][13810/14090]	Time 0.850 (0.766)	Data 0.001 (0.001)	Loss 1.8944 (1.7995)	Prec@1 49.219 (52.712)	Prec@5 80.469 (82.060)
Epoch: [83][13820/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 1.6232 (1.7995)	Prec@1 53.906 (52.712)	Prec@5 85.938 (82.061)
Epoch: [83][13830/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 1.7867 (1.7995)	Prec@1 54.688 (52.713)	Prec@5 82.031 (82.061)
Epoch: [83][13840/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 1.6698 (1.7995)	Prec@1 53.125 (52.714)	Prec@5 84.375 (82.061)
Epoch: [83][13850/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 1.7873 (1.7995)	Prec@1 49.219 (52.714)	Prec@5 85.938 (82.061)
Epoch: [83][13860/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 1.5243 (1.7995)	Prec@1 59.375 (52.715)	Prec@5 89.844 (82.061)
Epoch: [83][13870/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 1.8326 (1.7996)	Prec@1 48.438 (52.714)	Prec@5 79.688 (82.060)
Epoch: [83][13880/14090]	Time 0.884 (0.766)	Data 0.001 (0.001)	Loss 1.7305 (1.7996)	Prec@1 58.594 (52.714)	Prec@5 82.812 (82.059)
Epoch: [83][13890/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 1.6749 (1.7996)	Prec@1 56.250 (52.713)	Prec@5 85.938 (82.058)
Epoch: [83][13900/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 1.6724 (1.7996)	Prec@1 52.344 (52.713)	Prec@5 85.156 (82.058)
Epoch: [83][13910/14090]	Time 0.765 (0.766)	Data 0.001 (0.001)	Loss 2.0185 (1.7996)	Prec@1 47.656 (52.712)	Prec@5 79.688 (82.058)
Epoch: [83][13920/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 1.7188 (1.7996)	Prec@1 57.031 (52.713)	Prec@5 82.812 (82.059)
Epoch: [83][13930/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 1.7655 (1.7996)	Prec@1 56.250 (52.714)	Prec@5 82.031 (82.059)
Epoch: [83][13940/14090]	Time 0.768 (0.766)	Data 0.001 (0.001)	Loss 1.8608 (1.7996)	Prec@1 53.906 (52.714)	Prec@5 78.125 (82.059)
Epoch: [83][13950/14090]	Time 0.912 (0.766)	Data 0.001 (0.001)	Loss 1.4370 (1.7996)	Prec@1 60.938 (52.713)	Prec@5 85.938 (82.058)
Epoch: [83][13960/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 1.9814 (1.7995)	Prec@1 50.781 (52.715)	Prec@5 76.562 (82.059)
Epoch: [83][13970/14090]	Time 0.779 (0.766)	Data 0.001 (0.001)	Loss 1.7828 (1.7995)	Prec@1 54.688 (52.715)	Prec@5 82.031 (82.059)
Epoch: [83][13980/14090]	Time 0.786 (0.766)	Data 0.001 (0.001)	Loss 1.7762 (1.7995)	Prec@1 52.344 (52.716)	Prec@5 82.031 (82.060)
Epoch: [83][13990/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 1.7624 (1.7996)	Prec@1 56.250 (52.716)	Prec@5 83.594 (82.057)
Epoch: [83][14000/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 1.6567 (1.7996)	Prec@1 55.469 (52.715)	Prec@5 82.812 (82.057)
Epoch: [83][14010/14090]	Time 0.775 (0.766)	Data 0.001 (0.001)	Loss 1.8047 (1.7995)	Prec@1 53.125 (52.716)	Prec@5 85.938 (82.059)
Epoch: [83][14020/14090]	Time 0.846 (0.766)	Data 0.001 (0.001)	Loss 1.6405 (1.7995)	Prec@1 54.688 (52.716)	Prec@5 82.812 (82.060)
Epoch: [83][14030/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 1.8457 (1.7995)	Prec@1 47.656 (52.714)	Prec@5 82.031 (82.058)
Epoch: [83][14040/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 1.7632 (1.7995)	Prec@1 55.469 (52.715)	Prec@5 79.688 (82.059)
Epoch: [83][14050/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 1.8159 (1.7996)	Prec@1 48.438 (52.714)	Prec@5 80.469 (82.058)
Epoch: [83][14060/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 1.9758 (1.7996)	Prec@1 49.219 (52.714)	Prec@5 75.781 (82.057)
Epoch: [83][14070/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 1.9488 (1.7996)	Prec@1 44.531 (52.715)	Prec@5 80.469 (82.057)
Epoch: [83][14080/14090]	Time 0.732 (0.766)	Data 0.000 (0.001)	Loss 1.7536 (1.7996)	Prec@1 50.781 (52.715)	Prec@5 81.250 (82.056)
Test: [0/286]	Time 4.798 (4.798)	Loss 1.4384 (1.4384)	Prec@1 50.781 (50.781)	Prec@5 94.531 (94.531)
Test: [10/286]	Time 0.231 (0.783)	Loss 1.8309 (1.7994)	Prec@1 48.438 (53.054)	Prec@5 88.281 (84.659)
Test: [20/286]	Time 0.230 (0.583)	Loss 1.2981 (1.7326)	Prec@1 63.281 (53.534)	Prec@5 92.969 (85.826)
Test: [30/286]	Time 0.262 (0.513)	Loss 1.9645 (1.6497)	Prec@1 50.781 (56.200)	Prec@5 78.906 (85.988)
Test: [40/286]	Time 1.412 (0.506)	Loss 1.6477 (1.6738)	Prec@1 52.344 (55.602)	Prec@5 88.281 (85.633)
Test: [50/286]	Time 0.233 (0.486)	Loss 0.4634 (1.6718)	Prec@1 90.625 (55.346)	Prec@5 95.312 (85.738)
Test: [60/286]	Time 0.253 (0.467)	Loss 2.5975 (1.6908)	Prec@1 37.500 (55.136)	Prec@5 66.406 (84.900)
Test: [70/286]	Time 0.273 (0.455)	Loss 1.0462 (1.6647)	Prec@1 73.438 (55.700)	Prec@5 93.750 (85.310)
Test: [80/286]	Time 1.193 (0.457)	Loss 1.8754 (1.7032)	Prec@1 46.875 (54.485)	Prec@5 83.594 (84.905)
Test: [90/286]	Time 0.388 (0.451)	Loss 1.7432 (1.7122)	Prec@1 47.656 (54.207)	Prec@5 89.062 (84.770)
Test: [100/286]	Time 0.335 (0.445)	Loss 2.3045 (1.7261)	Prec@1 30.469 (53.636)	Prec@5 78.906 (84.653)
Test: [110/286]	Time 0.233 (0.438)	Loss 2.2222 (1.7433)	Prec@1 42.188 (53.266)	Prec@5 74.219 (84.544)
Test: [120/286]	Time 1.339 (0.442)	Loss 1.6387 (1.7301)	Prec@1 62.500 (53.835)	Prec@5 79.688 (84.666)
Test: [130/286]	Time 0.425 (0.438)	Loss 1.0177 (1.7245)	Prec@1 68.750 (54.061)	Prec@5 93.750 (84.715)
Test: [140/286]	Time 0.237 (0.435)	Loss 2.2100 (1.7168)	Prec@1 53.125 (54.250)	Prec@5 71.875 (84.652)
Test: [150/286]	Time 0.231 (0.431)	Loss 2.8773 (1.7290)	Prec@1 30.469 (53.782)	Prec@5 69.531 (84.551)
Test: [160/286]	Time 1.252 (0.434)	Loss 2.6259 (1.7266)	Prec@1 25.000 (53.843)	Prec@5 69.531 (84.564)
Test: [170/286]	Time 0.289 (0.431)	Loss 2.0134 (1.7225)	Prec@1 42.969 (53.906)	Prec@5 82.812 (84.654)
Test: [180/286]	Time 0.236 (0.428)	Loss 1.8564 (1.7342)	Prec@1 59.375 (53.595)	Prec@5 79.688 (84.513)
Test: [190/286]	Time 0.231 (0.426)	Loss 2.9532 (1.7520)	Prec@1 20.312 (53.170)	Prec@5 70.312 (84.322)
Test: [200/286]	Time 1.086 (0.428)	Loss 1.7193 (1.7486)	Prec@1 64.062 (53.230)	Prec@5 85.938 (84.340)
Test: [210/286]	Time 0.237 (0.428)	Loss 1.8947 (1.7525)	Prec@1 47.656 (53.147)	Prec@5 85.156 (84.316)
Test: [220/286]	Time 0.229 (0.425)	Loss 2.8137 (1.7576)	Prec@1 21.094 (53.093)	Prec@5 69.531 (84.202)
Test: [230/286]	Time 0.236 (0.423)	Loss 1.2809 (1.7548)	Prec@1 63.281 (53.179)	Prec@5 89.844 (84.243)
Test: [240/286]	Time 1.470 (0.426)	Loss 1.7709 (1.7523)	Prec@1 55.469 (53.290)	Prec@5 82.812 (84.265)
Test: [250/286]	Time 0.281 (0.425)	Loss 1.7765 (1.7416)	Prec@1 48.438 (53.455)	Prec@5 85.938 (84.471)
Test: [260/286]	Time 0.233 (0.423)	Loss 1.6869 (1.7316)	Prec@1 53.125 (53.787)	Prec@5 85.938 (84.620)
Test: [270/286]	Time 0.230 (0.422)	Loss 1.1281 (1.7307)	Prec@1 67.969 (53.800)	Prec@5 91.406 (84.655)
Test: [280/286]	Time 1.330 (0.423)	Loss 1.6080 (1.7159)	Prec@1 57.812 (54.326)	Prec@5 88.281 (84.800)
 * Prec@1 54.452 Prec@5 84.809
Epoch: [84][0/14090]	Time 6.028 (6.028)	Data 5.245 (5.245)	Loss 1.6572 (1.6572)	Prec@1 53.906 (53.906)	Prec@5 86.719 (86.719)
Epoch: [84][10/14090]	Time 0.719 (1.216)	Data 0.001 (0.478)	Loss 1.6830 (1.7355)	Prec@1 54.688 (53.480)	Prec@5 85.156 (83.523)
Epoch: [84][20/14090]	Time 0.749 (1.005)	Data 0.001 (0.251)	Loss 2.0319 (1.7886)	Prec@1 52.344 (51.935)	Prec@5 76.562 (82.961)
Epoch: [84][30/14090]	Time 0.739 (0.923)	Data 0.001 (0.170)	Loss 1.7097 (1.7888)	Prec@1 50.000 (52.193)	Prec@5 82.031 (82.586)
Epoch: [84][40/14090]	Time 0.756 (0.885)	Data 0.001 (0.129)	Loss 1.6737 (1.7780)	Prec@1 54.688 (52.611)	Prec@5 81.250 (82.527)
Epoch: [84][50/14090]	Time 0.750 (0.860)	Data 0.001 (0.104)	Loss 1.5964 (1.7811)	Prec@1 55.469 (52.497)	Prec@5 87.500 (82.292)
Epoch: [84][60/14090]	Time 0.844 (0.846)	Data 0.001 (0.087)	Loss 1.4914 (1.7825)	Prec@1 59.375 (52.805)	Prec@5 89.062 (82.198)
Epoch: [84][70/14090]	Time 0.776 (0.834)	Data 0.001 (0.075)	Loss 1.7265 (1.7929)	Prec@1 50.000 (52.641)	Prec@5 82.031 (82.031)
Epoch: [84][80/14090]	Time 0.772 (0.825)	Data 0.001 (0.066)	Loss 1.6889 (1.7855)	Prec@1 56.250 (52.942)	Prec@5 82.812 (82.166)
Epoch: [84][90/14090]	Time 0.790 (0.820)	Data 0.001 (0.058)	Loss 2.0340 (1.7797)	Prec@1 47.656 (53.065)	Prec@5 79.688 (82.349)
Epoch: [84][100/14090]	Time 0.747 (0.815)	Data 0.001 (0.053)	Loss 1.7476 (1.7875)	Prec@1 54.688 (53.001)	Prec@5 78.906 (82.201)
Epoch: [84][110/14090]	Time 0.742 (0.811)	Data 0.001 (0.048)	Loss 2.0075 (1.7840)	Prec@1 45.312 (53.005)	Prec@5 83.594 (82.327)
Epoch: [84][120/14090]	Time 0.740 (0.807)	Data 0.001 (0.044)	Loss 1.7215 (1.7760)	Prec@1 50.000 (53.157)	Prec@5 82.812 (82.438)
Epoch: [84][130/14090]	Time 0.890 (0.806)	Data 0.001 (0.041)	Loss 1.9351 (1.7784)	Prec@1 47.656 (53.083)	Prec@5 75.000 (82.389)
Epoch: [84][140/14090]	Time 0.765 (0.803)	Data 0.001 (0.038)	Loss 1.6435 (1.7806)	Prec@1 55.469 (53.125)	Prec@5 84.375 (82.319)
Epoch: [84][150/14090]	Time 0.746 (0.800)	Data 0.001 (0.036)	Loss 1.8001 (1.7780)	Prec@1 51.562 (53.172)	Prec@5 82.031 (82.368)
Epoch: [84][160/14090]	Time 0.749 (0.799)	Data 0.001 (0.033)	Loss 1.8729 (1.7770)	Prec@1 53.125 (53.241)	Prec@5 80.469 (82.381)
Epoch: [84][170/14090]	Time 0.774 (0.797)	Data 0.001 (0.032)	Loss 1.8181 (1.7773)	Prec@1 54.688 (53.289)	Prec@5 83.594 (82.465)
Epoch: [84][180/14090]	Time 0.760 (0.795)	Data 0.002 (0.030)	Loss 1.5266 (1.7785)	Prec@1 60.938 (53.293)	Prec@5 89.844 (82.450)
Epoch: [84][190/14090]	Time 0.769 (0.794)	Data 0.001 (0.028)	Loss 1.7471 (1.7792)	Prec@1 53.906 (53.215)	Prec@5 83.594 (82.465)
Epoch: [84][200/14090]	Time 0.866 (0.792)	Data 0.001 (0.027)	Loss 1.6977 (1.7841)	Prec@1 55.469 (53.067)	Prec@5 84.375 (82.334)
Epoch: [84][210/14090]	Time 0.729 (0.791)	Data 0.001 (0.026)	Loss 1.7661 (1.7835)	Prec@1 53.125 (53.047)	Prec@5 85.156 (82.420)
Epoch: [84][220/14090]	Time 0.740 (0.789)	Data 0.001 (0.025)	Loss 1.6759 (1.7824)	Prec@1 51.562 (53.008)	Prec@5 87.500 (82.424)
Epoch: [84][230/14090]	Time 0.756 (0.789)	Data 0.001 (0.024)	Loss 1.6955 (1.7824)	Prec@1 53.125 (53.007)	Prec@5 85.938 (82.380)
Epoch: [84][240/14090]	Time 0.734 (0.788)	Data 0.001 (0.023)	Loss 1.8969 (1.7812)	Prec@1 54.688 (53.005)	Prec@5 81.250 (82.440)
Epoch: [84][250/14090]	Time 0.736 (0.787)	Data 0.001 (0.022)	Loss 1.8079 (1.7822)	Prec@1 48.438 (52.976)	Prec@5 81.250 (82.339)
Epoch: [84][260/14090]	Time 0.731 (0.786)	Data 0.001 (0.021)	Loss 1.6020 (1.7812)	Prec@1 57.031 (52.960)	Prec@5 84.375 (82.393)
Epoch: [84][270/14090]	Time 0.895 (0.786)	Data 0.001 (0.020)	Loss 1.7403 (1.7804)	Prec@1 56.250 (53.007)	Prec@5 80.469 (82.369)
Epoch: [84][280/14090]	Time 0.744 (0.785)	Data 0.003 (0.020)	Loss 1.8363 (1.7801)	Prec@1 55.469 (52.989)	Prec@5 86.719 (82.373)
Epoch: [84][290/14090]	Time 0.732 (0.784)	Data 0.001 (0.019)	Loss 1.7735 (1.7776)	Prec@1 53.125 (53.055)	Prec@5 85.156 (82.431)
Epoch: [84][300/14090]	Time 0.736 (0.784)	Data 0.001 (0.018)	Loss 1.5756 (1.7760)	Prec@1 54.688 (53.135)	Prec@5 80.469 (82.431)
Epoch: [84][310/14090]	Time 0.744 (0.783)	Data 0.001 (0.018)	Loss 1.9620 (1.7771)	Prec@1 50.000 (53.153)	Prec@5 75.781 (82.401)
Epoch: [84][320/14090]	Time 0.749 (0.783)	Data 0.001 (0.017)	Loss 1.6620 (1.7788)	Prec@1 55.469 (53.147)	Prec@5 85.156 (82.389)
Epoch: [84][330/14090]	Time 0.779 (0.782)	Data 0.001 (0.017)	Loss 1.6689 (1.7786)	Prec@1 60.156 (53.201)	Prec@5 82.812 (82.397)
Epoch: [84][340/14090]	Time 0.876 (0.782)	Data 0.001 (0.016)	Loss 1.6081 (1.7775)	Prec@1 58.594 (53.262)	Prec@5 85.938 (82.439)
Epoch: [84][350/14090]	Time 0.771 (0.781)	Data 0.001 (0.016)	Loss 1.8817 (1.7778)	Prec@1 51.562 (53.250)	Prec@5 84.375 (82.439)
Epoch: [84][360/14090]	Time 0.748 (0.781)	Data 0.001 (0.015)	Loss 1.9656 (1.7806)	Prec@1 49.219 (53.192)	Prec@5 81.250 (82.401)
Epoch: [84][370/14090]	Time 0.738 (0.781)	Data 0.001 (0.015)	Loss 1.6628 (1.7786)	Prec@1 50.781 (53.209)	Prec@5 83.594 (82.417)
Epoch: [84][380/14090]	Time 0.757 (0.780)	Data 0.001 (0.015)	Loss 1.6373 (1.7767)	Prec@1 53.906 (53.205)	Prec@5 87.500 (82.445)
Epoch: [84][390/14090]	Time 0.773 (0.780)	Data 0.001 (0.014)	Loss 1.8088 (1.7771)	Prec@1 50.781 (53.225)	Prec@5 78.906 (82.437)
Epoch: [84][400/14090]	Time 0.761 (0.780)	Data 0.001 (0.014)	Loss 2.2406 (1.7766)	Prec@1 51.562 (53.269)	Prec@5 75.000 (82.450)
Epoch: [84][410/14090]	Time 0.977 (0.780)	Data 0.001 (0.014)	Loss 1.8260 (1.7763)	Prec@1 53.906 (53.290)	Prec@5 82.812 (82.467)
Epoch: [84][420/14090]	Time 0.768 (0.780)	Data 0.001 (0.013)	Loss 1.5757 (1.7770)	Prec@1 61.719 (53.286)	Prec@5 81.250 (82.443)
Epoch: [84][430/14090]	Time 0.722 (0.780)	Data 0.002 (0.013)	Loss 1.7035 (1.7783)	Prec@1 50.781 (53.241)	Prec@5 82.812 (82.423)
Epoch: [84][440/14090]	Time 0.728 (0.780)	Data 0.001 (0.013)	Loss 1.8107 (1.7781)	Prec@1 50.781 (53.244)	Prec@5 84.375 (82.417)
Epoch: [84][450/14090]	Time 0.747 (0.779)	Data 0.001 (0.012)	Loss 1.9015 (1.7770)	Prec@1 46.875 (53.265)	Prec@5 82.031 (82.440)
Epoch: [84][460/14090]	Time 0.757 (0.779)	Data 0.001 (0.012)	Loss 1.8305 (1.7765)	Prec@1 47.656 (53.255)	Prec@5 80.469 (82.448)
Epoch: [84][470/14090]	Time 0.754 (0.779)	Data 0.001 (0.012)	Loss 1.9675 (1.7767)	Prec@1 46.875 (53.239)	Prec@5 80.469 (82.428)
Epoch: [84][480/14090]	Time 0.873 (0.779)	Data 0.001 (0.012)	Loss 1.6348 (1.7764)	Prec@1 52.344 (53.214)	Prec@5 84.375 (82.447)
Epoch: [84][490/14090]	Time 0.772 (0.778)	Data 0.001 (0.012)	Loss 1.5774 (1.7758)	Prec@1 58.594 (53.220)	Prec@5 84.375 (82.423)
Epoch: [84][500/14090]	Time 0.734 (0.778)	Data 0.001 (0.011)	Loss 1.8840 (1.7765)	Prec@1 54.688 (53.192)	Prec@5 80.469 (82.429)
Epoch: [84][510/14090]	Time 0.736 (0.778)	Data 0.001 (0.011)	Loss 1.7947 (1.7758)	Prec@1 57.812 (53.240)	Prec@5 85.156 (82.426)
Epoch: [84][520/14090]	Time 0.737 (0.778)	Data 0.001 (0.011)	Loss 1.6469 (1.7766)	Prec@1 52.344 (53.189)	Prec@5 80.469 (82.403)
Epoch: [84][530/14090]	Time 0.766 (0.778)	Data 0.001 (0.011)	Loss 1.7901 (1.7748)	Prec@1 55.469 (53.231)	Prec@5 86.719 (82.417)
Epoch: [84][540/14090]	Time 0.764 (0.778)	Data 0.001 (0.011)	Loss 1.9969 (1.7758)	Prec@1 50.000 (53.187)	Prec@5 78.906 (82.402)
Epoch: [84][550/14090]	Time 0.878 (0.777)	Data 0.001 (0.010)	Loss 1.8301 (1.7757)	Prec@1 42.188 (53.163)	Prec@5 82.031 (82.413)
Epoch: [84][560/14090]	Time 0.736 (0.777)	Data 0.001 (0.010)	Loss 1.6298 (1.7753)	Prec@1 59.375 (53.178)	Prec@5 82.031 (82.414)
Epoch: [84][570/14090]	Time 0.725 (0.777)	Data 0.001 (0.010)	Loss 1.4845 (1.7750)	Prec@1 57.812 (53.177)	Prec@5 87.500 (82.434)
Epoch: [84][580/14090]	Time 0.735 (0.777)	Data 0.001 (0.010)	Loss 1.8945 (1.7764)	Prec@1 53.125 (53.157)	Prec@5 82.031 (82.400)
Epoch: [84][590/14090]	Time 0.742 (0.777)	Data 0.001 (0.010)	Loss 1.6298 (1.7758)	Prec@1 55.469 (53.207)	Prec@5 82.812 (82.404)
Epoch: [84][600/14090]	Time 0.751 (0.776)	Data 0.001 (0.010)	Loss 1.9229 (1.7765)	Prec@1 49.219 (53.185)	Prec@5 79.688 (82.385)
Epoch: [84][610/14090]	Time 0.752 (0.776)	Data 0.001 (0.009)	Loss 1.7359 (1.7754)	Prec@1 52.344 (53.202)	Prec@5 87.500 (82.412)
Epoch: [84][620/14090]	Time 0.880 (0.776)	Data 0.001 (0.009)	Loss 2.0637 (1.7754)	Prec@1 48.438 (53.212)	Prec@5 82.031 (82.401)
Epoch: [84][630/14090]	Time 0.731 (0.776)	Data 0.001 (0.009)	Loss 1.9815 (1.7754)	Prec@1 53.906 (53.204)	Prec@5 76.562 (82.400)
Epoch: [84][640/14090]	Time 0.794 (0.776)	Data 0.001 (0.009)	Loss 1.6139 (1.7747)	Prec@1 61.719 (53.244)	Prec@5 85.156 (82.422)
Epoch: [84][650/14090]	Time 0.725 (0.776)	Data 0.001 (0.009)	Loss 1.7289 (1.7743)	Prec@1 57.031 (53.262)	Prec@5 81.250 (82.419)
Epoch: [84][660/14090]	Time 0.771 (0.776)	Data 0.001 (0.009)	Loss 1.4743 (1.7750)	Prec@1 60.938 (53.235)	Prec@5 88.281 (82.427)
Epoch: [84][670/14090]	Time 0.746 (0.775)	Data 0.001 (0.009)	Loss 1.9468 (1.7772)	Prec@1 46.875 (53.197)	Prec@5 82.031 (82.391)
Epoch: [84][680/14090]	Time 0.737 (0.775)	Data 0.001 (0.009)	Loss 1.8057 (1.7775)	Prec@1 52.344 (53.190)	Prec@5 82.812 (82.374)
Epoch: [84][690/14090]	Time 0.864 (0.775)	Data 0.001 (0.008)	Loss 2.1241 (1.7775)	Prec@1 47.656 (53.202)	Prec@5 73.438 (82.378)
Epoch: [84][700/14090]	Time 0.756 (0.775)	Data 0.001 (0.008)	Loss 1.7042 (1.7767)	Prec@1 56.250 (53.212)	Prec@5 80.469 (82.390)
Epoch: [84][710/14090]	Time 0.730 (0.775)	Data 0.001 (0.008)	Loss 1.7712 (1.7782)	Prec@1 53.125 (53.191)	Prec@5 78.906 (82.369)
Epoch: [84][720/14090]	Time 0.748 (0.775)	Data 0.001 (0.008)	Loss 1.8627 (1.7782)	Prec@1 53.906 (53.202)	Prec@5 81.250 (82.368)
Epoch: [84][730/14090]	Time 0.778 (0.775)	Data 0.001 (0.008)	Loss 1.7844 (1.7778)	Prec@1 50.781 (53.197)	Prec@5 80.469 (82.388)
Epoch: [84][740/14090]	Time 0.724 (0.775)	Data 0.001 (0.008)	Loss 1.7430 (1.7779)	Prec@1 53.125 (53.200)	Prec@5 79.688 (82.365)
Epoch: [84][750/14090]	Time 0.767 (0.774)	Data 0.001 (0.008)	Loss 1.6895 (1.7784)	Prec@1 55.469 (53.182)	Prec@5 82.812 (82.367)
Epoch: [84][760/14090]	Time 0.826 (0.774)	Data 0.001 (0.008)	Loss 2.0275 (1.7785)	Prec@1 53.125 (53.171)	Prec@5 80.469 (82.372)
Epoch: [84][770/14090]	Time 0.788 (0.774)	Data 0.001 (0.008)	Loss 1.5515 (1.7774)	Prec@1 52.344 (53.175)	Prec@5 87.500 (82.407)
Epoch: [84][780/14090]	Time 0.730 (0.774)	Data 0.001 (0.008)	Loss 1.7637 (1.7766)	Prec@1 53.125 (53.192)	Prec@5 86.719 (82.431)
Epoch: [84][790/14090]	Time 0.748 (0.774)	Data 0.001 (0.007)	Loss 1.7499 (1.7770)	Prec@1 53.906 (53.173)	Prec@5 89.062 (82.437)
Epoch: [84][800/14090]	Time 0.736 (0.774)	Data 0.001 (0.007)	Loss 1.5924 (1.7764)	Prec@1 53.125 (53.179)	Prec@5 85.938 (82.439)
Epoch: [84][810/14090]	Time 0.751 (0.774)	Data 0.001 (0.007)	Loss 1.7080 (1.7762)	Prec@1 56.250 (53.202)	Prec@5 81.250 (82.431)
Epoch: [84][820/14090]	Time 0.733 (0.774)	Data 0.001 (0.007)	Loss 1.7651 (1.7762)	Prec@1 53.906 (53.212)	Prec@5 82.031 (82.415)
Epoch: [84][830/14090]	Time 0.840 (0.774)	Data 0.001 (0.007)	Loss 1.6616 (1.7764)	Prec@1 61.719 (53.219)	Prec@5 85.156 (82.418)
Epoch: [84][840/14090]	Time 0.756 (0.773)	Data 0.001 (0.007)	Loss 1.5777 (1.7763)	Prec@1 59.375 (53.236)	Prec@5 85.938 (82.414)
Epoch: [84][850/14090]	Time 0.774 (0.773)	Data 0.001 (0.007)	Loss 1.5133 (1.7760)	Prec@1 61.719 (53.245)	Prec@5 85.156 (82.411)
Epoch: [84][860/14090]	Time 0.734 (0.773)	Data 0.001 (0.007)	Loss 2.0516 (1.7762)	Prec@1 46.094 (53.228)	Prec@5 77.344 (82.406)
Epoch: [84][870/14090]	Time 0.753 (0.773)	Data 0.001 (0.007)	Loss 1.5386 (1.7758)	Prec@1 57.812 (53.215)	Prec@5 89.062 (82.407)
Epoch: [84][880/14090]	Time 0.757 (0.773)	Data 0.001 (0.007)	Loss 1.8335 (1.7758)	Prec@1 50.000 (53.214)	Prec@5 80.469 (82.412)
Epoch: [84][890/14090]	Time 0.755 (0.773)	Data 0.001 (0.007)	Loss 1.9018 (1.7770)	Prec@1 54.688 (53.187)	Prec@5 78.906 (82.385)
Epoch: [84][900/14090]	Time 0.854 (0.773)	Data 0.001 (0.007)	Loss 2.0761 (1.7774)	Prec@1 45.312 (53.180)	Prec@5 78.125 (82.367)
Epoch: [84][910/14090]	Time 0.780 (0.773)	Data 0.001 (0.007)	Loss 1.7719 (1.7762)	Prec@1 56.250 (53.207)	Prec@5 82.812 (82.385)
Epoch: [84][920/14090]	Time 0.754 (0.773)	Data 0.001 (0.007)	Loss 2.0686 (1.7765)	Prec@1 46.094 (53.204)	Prec@5 80.469 (82.365)
Epoch: [84][930/14090]	Time 0.744 (0.773)	Data 0.001 (0.006)	Loss 1.8820 (1.7775)	Prec@1 47.656 (53.176)	Prec@5 83.594 (82.353)
Epoch: [84][940/14090]	Time 0.771 (0.773)	Data 0.001 (0.006)	Loss 2.0831 (1.7779)	Prec@1 42.969 (53.168)	Prec@5 79.688 (82.344)
Epoch: [84][950/14090]	Time 0.757 (0.773)	Data 0.001 (0.006)	Loss 1.8349 (1.7776)	Prec@1 49.219 (53.170)	Prec@5 81.250 (82.357)
Epoch: [84][960/14090]	Time 0.743 (0.773)	Data 0.001 (0.006)	Loss 2.0930 (1.7775)	Prec@1 50.000 (53.184)	Prec@5 77.344 (82.349)
Epoch: [84][970/14090]	Time 0.874 (0.773)	Data 0.001 (0.006)	Loss 1.7447 (1.7773)	Prec@1 53.125 (53.198)	Prec@5 85.938 (82.352)
Epoch: [84][980/14090]	Time 0.747 (0.773)	Data 0.001 (0.006)	Loss 1.6945 (1.7770)	Prec@1 52.344 (53.204)	Prec@5 86.719 (82.365)
Epoch: [84][990/14090]	Time 0.747 (0.773)	Data 0.001 (0.006)	Loss 1.6469 (1.7770)	Prec@1 56.250 (53.213)	Prec@5 83.594 (82.364)
Epoch: [84][1000/14090]	Time 0.726 (0.773)	Data 0.001 (0.006)	Loss 1.6841 (1.7770)	Prec@1 56.250 (53.212)	Prec@5 81.250 (82.369)
Epoch: [84][1010/14090]	Time 0.748 (0.772)	Data 0.001 (0.006)	Loss 2.2429 (1.7773)	Prec@1 50.781 (53.213)	Prec@5 75.781 (82.364)
Epoch: [84][1020/14090]	Time 0.764 (0.772)	Data 0.001 (0.006)	Loss 1.6893 (1.7774)	Prec@1 58.594 (53.206)	Prec@5 83.594 (82.362)
Epoch: [84][1030/14090]	Time 0.757 (0.772)	Data 0.001 (0.006)	Loss 2.0637 (1.7775)	Prec@1 46.875 (53.185)	Prec@5 78.906 (82.367)
Epoch: [84][1040/14090]	Time 0.845 (0.772)	Data 0.001 (0.006)	Loss 1.9649 (1.7780)	Prec@1 46.875 (53.167)	Prec@5 81.250 (82.350)
Epoch: [84][1050/14090]	Time 0.788 (0.772)	Data 0.001 (0.006)	Loss 1.9367 (1.7787)	Prec@1 53.906 (53.165)	Prec@5 81.250 (82.338)
Epoch: [84][1060/14090]	Time 0.755 (0.772)	Data 0.001 (0.006)	Loss 1.8677 (1.7790)	Prec@1 53.125 (53.163)	Prec@5 79.688 (82.332)
Epoch: [84][1070/14090]	Time 0.723 (0.772)	Data 0.001 (0.006)	Loss 1.6957 (1.7789)	Prec@1 54.688 (53.169)	Prec@5 80.469 (82.330)
Epoch: [84][1080/14090]	Time 0.768 (0.772)	Data 0.001 (0.006)	Loss 1.8099 (1.7791)	Prec@1 53.125 (53.167)	Prec@5 82.812 (82.322)
Epoch: [84][1090/14090]	Time 0.741 (0.772)	Data 0.001 (0.006)	Loss 1.4909 (1.7792)	Prec@1 57.812 (53.165)	Prec@5 89.062 (82.316)
Epoch: [84][1100/14090]	Time 0.752 (0.772)	Data 0.001 (0.006)	Loss 1.8567 (1.7789)	Prec@1 53.125 (53.175)	Prec@5 79.688 (82.321)
Epoch: [84][1110/14090]	Time 0.856 (0.772)	Data 0.001 (0.006)	Loss 1.8328 (1.7791)	Prec@1 48.438 (53.171)	Prec@5 82.031 (82.322)
Epoch: [84][1120/14090]	Time 0.743 (0.772)	Data 0.001 (0.006)	Loss 1.7175 (1.7789)	Prec@1 52.344 (53.168)	Prec@5 86.719 (82.332)
Epoch: [84][1130/14090]	Time 0.769 (0.772)	Data 0.001 (0.005)	Loss 1.6389 (1.7792)	Prec@1 53.906 (53.162)	Prec@5 82.812 (82.328)
Epoch: [84][1140/14090]	Time 0.755 (0.772)	Data 0.001 (0.005)	Loss 1.6864 (1.7796)	Prec@1 53.906 (53.140)	Prec@5 85.156 (82.329)
Epoch: [84][1150/14090]	Time 0.735 (0.772)	Data 0.001 (0.005)	Loss 1.5330 (1.7793)	Prec@1 57.812 (53.145)	Prec@5 83.594 (82.333)
Epoch: [84][1160/14090]	Time 0.762 (0.772)	Data 0.001 (0.005)	Loss 1.9476 (1.7783)	Prec@1 47.656 (53.162)	Prec@5 82.031 (82.359)
Epoch: [84][1170/14090]	Time 0.750 (0.772)	Data 0.001 (0.005)	Loss 1.7069 (1.7778)	Prec@1 53.125 (53.173)	Prec@5 85.938 (82.372)
Epoch: [84][1180/14090]	Time 0.882 (0.772)	Data 0.001 (0.005)	Loss 1.6632 (1.7777)	Prec@1 57.031 (53.170)	Prec@5 83.594 (82.377)
Epoch: [84][1190/14090]	Time 0.730 (0.771)	Data 0.001 (0.005)	Loss 1.7606 (1.7776)	Prec@1 56.250 (53.174)	Prec@5 79.688 (82.370)
Epoch: [84][1200/14090]	Time 0.738 (0.771)	Data 0.001 (0.005)	Loss 1.9619 (1.7782)	Prec@1 46.094 (53.165)	Prec@5 82.031 (82.362)
Epoch: [84][1210/14090]	Time 0.750 (0.771)	Data 0.001 (0.005)	Loss 1.4097 (1.7778)	Prec@1 60.156 (53.184)	Prec@5 89.062 (82.362)
Epoch: [84][1220/14090]	Time 0.749 (0.771)	Data 0.001 (0.005)	Loss 1.9550 (1.7778)	Prec@1 49.219 (53.188)	Prec@5 75.000 (82.370)
Epoch: [84][1230/14090]	Time 0.727 (0.771)	Data 0.001 (0.005)	Loss 1.7389 (1.7776)	Prec@1 57.812 (53.188)	Prec@5 82.031 (82.372)
Epoch: [84][1240/14090]	Time 0.728 (0.771)	Data 0.001 (0.005)	Loss 1.8388 (1.7774)	Prec@1 57.812 (53.195)	Prec@5 84.375 (82.373)
Epoch: [84][1250/14090]	Time 0.892 (0.771)	Data 0.001 (0.005)	Loss 1.7866 (1.7772)	Prec@1 51.562 (53.198)	Prec@5 81.250 (82.376)
Epoch: [84][1260/14090]	Time 0.745 (0.771)	Data 0.001 (0.005)	Loss 1.7775 (1.7763)	Prec@1 56.250 (53.213)	Prec@5 82.031 (82.388)
Epoch: [84][1270/14090]	Time 0.762 (0.771)	Data 0.001 (0.005)	Loss 1.6774 (1.7767)	Prec@1 60.156 (53.215)	Prec@5 82.031 (82.378)
Epoch: [84][1280/14090]	Time 0.767 (0.771)	Data 0.001 (0.005)	Loss 1.6083 (1.7766)	Prec@1 56.250 (53.223)	Prec@5 85.156 (82.380)
Epoch: [84][1290/14090]	Time 0.726 (0.771)	Data 0.001 (0.005)	Loss 1.6848 (1.7760)	Prec@1 50.781 (53.239)	Prec@5 87.500 (82.385)
Epoch: [84][1300/14090]	Time 0.751 (0.771)	Data 0.001 (0.005)	Loss 1.7177 (1.7766)	Prec@1 55.469 (53.222)	Prec@5 82.031 (82.378)
Epoch: [84][1310/14090]	Time 0.763 (0.771)	Data 0.001 (0.005)	Loss 2.0069 (1.7769)	Prec@1 53.125 (53.215)	Prec@5 78.125 (82.374)
Epoch: [84][1320/14090]	Time 0.879 (0.771)	Data 0.001 (0.005)	Loss 1.7141 (1.7772)	Prec@1 50.000 (53.200)	Prec@5 85.156 (82.368)
Epoch: [84][1330/14090]	Time 0.727 (0.771)	Data 0.001 (0.005)	Loss 1.5869 (1.7771)	Prec@1 57.031 (53.212)	Prec@5 88.281 (82.374)
Epoch: [84][1340/14090]	Time 0.733 (0.771)	Data 0.001 (0.005)	Loss 1.5958 (1.7770)	Prec@1 62.500 (53.228)	Prec@5 86.719 (82.380)
Epoch: [84][1350/14090]	Time 0.769 (0.771)	Data 0.001 (0.005)	Loss 1.9858 (1.7773)	Prec@1 51.562 (53.217)	Prec@5 79.688 (82.383)
Epoch: [84][1360/14090]	Time 0.750 (0.771)	Data 0.001 (0.005)	Loss 1.5394 (1.7772)	Prec@1 53.906 (53.221)	Prec@5 85.156 (82.387)
Epoch: [84][1370/14090]	Time 0.762 (0.771)	Data 0.001 (0.005)	Loss 2.0923 (1.7772)	Prec@1 46.875 (53.213)	Prec@5 80.469 (82.384)
Epoch: [84][1380/14090]	Time 0.767 (0.771)	Data 0.001 (0.005)	Loss 1.5033 (1.7770)	Prec@1 57.031 (53.217)	Prec@5 88.281 (82.388)
Epoch: [84][1390/14090]	Time 0.822 (0.771)	Data 0.001 (0.005)	Loss 1.5660 (1.7770)	Prec@1 57.031 (53.218)	Prec@5 85.938 (82.388)
Epoch: [84][1400/14090]	Time 0.734 (0.771)	Data 0.001 (0.005)	Loss 1.9393 (1.7770)	Prec@1 51.562 (53.213)	Prec@5 78.125 (82.388)
Epoch: [84][1410/14090]	Time 0.752 (0.771)	Data 0.001 (0.005)	Loss 1.7885 (1.7768)	Prec@1 51.562 (53.219)	Prec@5 81.250 (82.387)
Epoch: [84][1420/14090]	Time 0.735 (0.771)	Data 0.001 (0.005)	Loss 1.5190 (1.7768)	Prec@1 57.812 (53.216)	Prec@5 86.719 (82.392)
Epoch: [84][1430/14090]	Time 0.741 (0.771)	Data 0.001 (0.005)	Loss 1.8555 (1.7775)	Prec@1 52.344 (53.201)	Prec@5 81.250 (82.384)
Epoch: [84][1440/14090]	Time 0.753 (0.771)	Data 0.001 (0.004)	Loss 1.7841 (1.7774)	Prec@1 48.438 (53.195)	Prec@5 83.594 (82.390)
Epoch: [84][1450/14090]	Time 0.772 (0.771)	Data 0.001 (0.004)	Loss 1.6669 (1.7773)	Prec@1 56.250 (53.197)	Prec@5 86.719 (82.397)
Epoch: [84][1460/14090]	Time 0.873 (0.771)	Data 0.001 (0.004)	Loss 1.9440 (1.7773)	Prec@1 53.906 (53.206)	Prec@5 77.344 (82.387)
Epoch: [84][1470/14090]	Time 0.736 (0.771)	Data 0.001 (0.004)	Loss 1.9023 (1.7776)	Prec@1 48.438 (53.197)	Prec@5 80.469 (82.391)
Epoch: [84][1480/14090]	Time 0.735 (0.771)	Data 0.001 (0.004)	Loss 1.7078 (1.7778)	Prec@1 57.031 (53.197)	Prec@5 84.375 (82.379)
Epoch: [84][1490/14090]	Time 0.741 (0.771)	Data 0.001 (0.004)	Loss 1.5620 (1.7777)	Prec@1 60.938 (53.192)	Prec@5 85.156 (82.381)
Epoch: [84][1500/14090]	Time 0.776 (0.771)	Data 0.001 (0.004)	Loss 1.8120 (1.7779)	Prec@1 52.344 (53.183)	Prec@5 81.250 (82.376)
Epoch: [84][1510/14090]	Time 0.750 (0.771)	Data 0.001 (0.004)	Loss 1.7787 (1.7782)	Prec@1 53.906 (53.177)	Prec@5 82.812 (82.369)
Epoch: [84][1520/14090]	Time 0.765 (0.771)	Data 0.001 (0.004)	Loss 1.8727 (1.7785)	Prec@1 50.781 (53.174)	Prec@5 84.375 (82.358)
Epoch: [84][1530/14090]	Time 0.935 (0.771)	Data 0.001 (0.004)	Loss 1.6554 (1.7790)	Prec@1 55.469 (53.157)	Prec@5 85.938 (82.354)
Epoch: [84][1540/14090]	Time 0.736 (0.770)	Data 0.001 (0.004)	Loss 1.9648 (1.7792)	Prec@1 45.312 (53.142)	Prec@5 78.906 (82.346)
Epoch: [84][1550/14090]	Time 0.738 (0.770)	Data 0.001 (0.004)	Loss 1.8948 (1.7792)	Prec@1 50.000 (53.147)	Prec@5 75.781 (82.346)
Epoch: [84][1560/14090]	Time 0.766 (0.770)	Data 0.001 (0.004)	Loss 1.8915 (1.7795)	Prec@1 50.000 (53.143)	Prec@5 82.031 (82.346)
Epoch: [84][1570/14090]	Time 0.736 (0.770)	Data 0.001 (0.004)	Loss 1.9710 (1.7798)	Prec@1 51.562 (53.146)	Prec@5 78.906 (82.342)
Epoch: [84][1580/14090]	Time 0.753 (0.770)	Data 0.001 (0.004)	Loss 1.8051 (1.7797)	Prec@1 52.344 (53.148)	Prec@5 82.812 (82.348)
Epoch: [84][1590/14090]	Time 0.728 (0.770)	Data 0.001 (0.004)	Loss 1.7682 (1.7800)	Prec@1 53.906 (53.145)	Prec@5 82.031 (82.346)
Epoch: [84][1600/14090]	Time 0.910 (0.770)	Data 0.001 (0.004)	Loss 1.5527 (1.7794)	Prec@1 54.688 (53.152)	Prec@5 85.938 (82.357)
Epoch: [84][1610/14090]	Time 0.739 (0.770)	Data 0.001 (0.004)	Loss 1.7022 (1.7791)	Prec@1 55.469 (53.157)	Prec@5 83.594 (82.364)
Epoch: [84][1620/14090]	Time 0.736 (0.770)	Data 0.001 (0.004)	Loss 2.0038 (1.7794)	Prec@1 45.312 (53.146)	Prec@5 77.344 (82.357)
Epoch: [84][1630/14090]	Time 0.746 (0.770)	Data 0.001 (0.004)	Loss 1.7650 (1.7793)	Prec@1 56.250 (53.153)	Prec@5 80.469 (82.353)
Epoch: [84][1640/14090]	Time 0.755 (0.770)	Data 0.001 (0.004)	Loss 1.5340 (1.7791)	Prec@1 56.250 (53.153)	Prec@5 85.938 (82.354)
Epoch: [84][1650/14090]	Time 0.731 (0.770)	Data 0.001 (0.004)	Loss 1.3665 (1.7784)	Prec@1 61.719 (53.160)	Prec@5 86.719 (82.364)
Epoch: [84][1660/14090]	Time 0.760 (0.770)	Data 0.001 (0.004)	Loss 1.8663 (1.7786)	Prec@1 57.031 (53.150)	Prec@5 79.688 (82.360)
Epoch: [84][1670/14090]	Time 0.861 (0.770)	Data 0.001 (0.004)	Loss 1.5838 (1.7783)	Prec@1 55.469 (53.158)	Prec@5 85.938 (82.366)
Epoch: [84][1680/14090]	Time 0.734 (0.770)	Data 0.001 (0.004)	Loss 2.0153 (1.7787)	Prec@1 48.438 (53.151)	Prec@5 75.781 (82.355)
Epoch: [84][1690/14090]	Time 0.728 (0.770)	Data 0.001 (0.004)	Loss 1.7867 (1.7786)	Prec@1 57.031 (53.156)	Prec@5 84.375 (82.361)
Epoch: [84][1700/14090]	Time 0.762 (0.770)	Data 0.001 (0.004)	Loss 1.6100 (1.7783)	Prec@1 57.812 (53.157)	Prec@5 82.031 (82.367)
Epoch: [84][1710/14090]	Time 0.730 (0.770)	Data 0.001 (0.004)	Loss 1.4932 (1.7779)	Prec@1 65.625 (53.161)	Prec@5 87.500 (82.372)
Epoch: [84][1720/14090]	Time 0.755 (0.770)	Data 0.001 (0.004)	Loss 1.5051 (1.7781)	Prec@1 54.688 (53.151)	Prec@5 84.375 (82.370)
Epoch: [84][1730/14090]	Time 0.763 (0.770)	Data 0.001 (0.004)	Loss 1.8560 (1.7780)	Prec@1 60.938 (53.154)	Prec@5 82.031 (82.375)
Epoch: [84][1740/14090]	Time 0.903 (0.770)	Data 0.001 (0.004)	Loss 2.0256 (1.7785)	Prec@1 50.781 (53.157)	Prec@5 78.125 (82.364)
Epoch: [84][1750/14090]	Time 0.764 (0.770)	Data 0.001 (0.004)	Loss 1.7889 (1.7787)	Prec@1 56.250 (53.153)	Prec@5 84.375 (82.365)
Epoch: [84][1760/14090]	Time 0.727 (0.770)	Data 0.001 (0.004)	Loss 1.8025 (1.7788)	Prec@1 53.906 (53.157)	Prec@5 82.031 (82.371)
Epoch: [84][1770/14090]	Time 0.755 (0.770)	Data 0.002 (0.004)	Loss 1.8998 (1.7787)	Prec@1 53.906 (53.169)	Prec@5 79.688 (82.373)
Epoch: [84][1780/14090]	Time 0.746 (0.770)	Data 0.002 (0.004)	Loss 1.7983 (1.7788)	Prec@1 55.469 (53.164)	Prec@5 84.375 (82.379)
Epoch: [84][1790/14090]	Time 0.742 (0.770)	Data 0.001 (0.004)	Loss 1.3826 (1.7788)	Prec@1 63.281 (53.174)	Prec@5 88.281 (82.380)
Epoch: [84][1800/14090]	Time 0.725 (0.770)	Data 0.001 (0.004)	Loss 1.5201 (1.7786)	Prec@1 61.719 (53.183)	Prec@5 84.375 (82.377)
Epoch: [84][1810/14090]	Time 0.878 (0.770)	Data 0.001 (0.004)	Loss 1.8963 (1.7787)	Prec@1 53.125 (53.185)	Prec@5 77.344 (82.382)
Epoch: [84][1820/14090]	Time 0.742 (0.770)	Data 0.001 (0.004)	Loss 1.8598 (1.7791)	Prec@1 50.781 (53.180)	Prec@5 77.344 (82.370)
Epoch: [84][1830/14090]	Time 0.739 (0.770)	Data 0.001 (0.004)	Loss 1.9833 (1.7792)	Prec@1 50.781 (53.182)	Prec@5 76.562 (82.362)
Epoch: [84][1840/14090]	Time 0.749 (0.770)	Data 0.001 (0.004)	Loss 1.7504 (1.7792)	Prec@1 56.250 (53.192)	Prec@5 79.688 (82.359)
Epoch: [84][1850/14090]	Time 0.787 (0.770)	Data 0.001 (0.004)	Loss 1.8789 (1.7789)	Prec@1 55.469 (53.198)	Prec@5 80.469 (82.357)
Epoch: [84][1860/14090]	Time 0.747 (0.770)	Data 0.001 (0.004)	Loss 1.6899 (1.7790)	Prec@1 50.781 (53.193)	Prec@5 89.062 (82.360)
Epoch: [84][1870/14090]	Time 0.727 (0.770)	Data 0.001 (0.004)	Loss 1.9131 (1.7793)	Prec@1 53.125 (53.190)	Prec@5 82.812 (82.357)
Epoch: [84][1880/14090]	Time 0.871 (0.770)	Data 0.001 (0.004)	Loss 1.9219 (1.7794)	Prec@1 48.438 (53.194)	Prec@5 79.688 (82.360)
Epoch: [84][1890/14090]	Time 0.741 (0.770)	Data 0.001 (0.004)	Loss 2.0392 (1.7796)	Prec@1 51.562 (53.199)	Prec@5 75.781 (82.357)
Epoch: [84][1900/14090]	Time 0.727 (0.770)	Data 0.001 (0.004)	Loss 1.8587 (1.7799)	Prec@1 48.438 (53.187)	Prec@5 81.250 (82.355)
Epoch: [84][1910/14090]	Time 0.751 (0.770)	Data 0.001 (0.004)	Loss 1.6446 (1.7793)	Prec@1 53.906 (53.196)	Prec@5 88.281 (82.367)
Epoch: [84][1920/14090]	Time 0.786 (0.770)	Data 0.001 (0.004)	Loss 1.8975 (1.7796)	Prec@1 52.344 (53.190)	Prec@5 82.031 (82.361)
Epoch: [84][1930/14090]	Time 0.734 (0.770)	Data 0.001 (0.004)	Loss 1.7115 (1.7799)	Prec@1 51.562 (53.187)	Prec@5 83.594 (82.357)
Epoch: [84][1940/14090]	Time 0.721 (0.769)	Data 0.001 (0.004)	Loss 2.0591 (1.7799)	Prec@1 42.969 (53.181)	Prec@5 81.250 (82.360)
Epoch: [84][1950/14090]	Time 0.867 (0.769)	Data 0.001 (0.004)	Loss 1.5996 (1.7800)	Prec@1 57.031 (53.182)	Prec@5 85.938 (82.364)
Epoch: [84][1960/14090]	Time 0.751 (0.769)	Data 0.001 (0.004)	Loss 1.9662 (1.7803)	Prec@1 50.781 (53.174)	Prec@5 80.469 (82.364)
Epoch: [84][1970/14090]	Time 0.725 (0.769)	Data 0.001 (0.004)	Loss 1.7266 (1.7801)	Prec@1 52.344 (53.176)	Prec@5 82.031 (82.366)
Epoch: [84][1980/14090]	Time 0.761 (0.769)	Data 0.001 (0.004)	Loss 1.7272 (1.7802)	Prec@1 50.781 (53.169)	Prec@5 83.594 (82.368)
Epoch: [84][1990/14090]	Time 0.798 (0.769)	Data 0.001 (0.003)	Loss 1.7884 (1.7804)	Prec@1 53.906 (53.164)	Prec@5 82.031 (82.364)
Epoch: [84][2000/14090]	Time 0.732 (0.769)	Data 0.001 (0.003)	Loss 1.7922 (1.7807)	Prec@1 57.031 (53.162)	Prec@5 85.938 (82.371)
Epoch: [84][2010/14090]	Time 0.726 (0.769)	Data 0.001 (0.003)	Loss 1.5537 (1.7809)	Prec@1 60.938 (53.160)	Prec@5 86.719 (82.363)
Epoch: [84][2020/14090]	Time 0.886 (0.769)	Data 0.001 (0.003)	Loss 1.7268 (1.7805)	Prec@1 55.469 (53.168)	Prec@5 82.031 (82.371)
Epoch: [84][2030/14090]	Time 0.742 (0.769)	Data 0.001 (0.003)	Loss 1.6820 (1.7803)	Prec@1 59.375 (53.179)	Prec@5 82.812 (82.374)
Epoch: [84][2040/14090]	Time 0.761 (0.769)	Data 0.001 (0.003)	Loss 1.9016 (1.7798)	Prec@1 53.125 (53.195)	Prec@5 75.000 (82.382)
Epoch: [84][2050/14090]	Time 0.776 (0.769)	Data 0.001 (0.003)	Loss 1.8293 (1.7799)	Prec@1 56.250 (53.194)	Prec@5 79.688 (82.381)
Epoch: [84][2060/14090]	Time 0.772 (0.769)	Data 0.001 (0.003)	Loss 1.7426 (1.7800)	Prec@1 54.688 (53.192)	Prec@5 84.375 (82.384)
Epoch: [84][2070/14090]	Time 0.751 (0.769)	Data 0.001 (0.003)	Loss 1.8402 (1.7804)	Prec@1 48.438 (53.183)	Prec@5 85.156 (82.381)
Epoch: [84][2080/14090]	Time 0.753 (0.769)	Data 0.001 (0.003)	Loss 2.2883 (1.7809)	Prec@1 40.625 (53.169)	Prec@5 70.312 (82.373)
Epoch: [84][2090/14090]	Time 0.893 (0.769)	Data 0.001 (0.003)	Loss 1.7139 (1.7808)	Prec@1 55.469 (53.175)	Prec@5 85.938 (82.372)
Epoch: [84][2100/14090]	Time 0.758 (0.769)	Data 0.001 (0.003)	Loss 1.8309 (1.7812)	Prec@1 47.656 (53.165)	Prec@5 82.812 (82.370)
Epoch: [84][2110/14090]	Time 0.770 (0.769)	Data 0.001 (0.003)	Loss 1.7770 (1.7813)	Prec@1 52.344 (53.157)	Prec@5 84.375 (82.373)
Epoch: [84][2120/14090]	Time 0.742 (0.769)	Data 0.001 (0.003)	Loss 1.7645 (1.7814)	Prec@1 60.156 (53.154)	Prec@5 80.469 (82.373)
Epoch: [84][2130/14090]	Time 0.774 (0.769)	Data 0.001 (0.003)	Loss 1.7608 (1.7812)	Prec@1 50.000 (53.154)	Prec@5 81.250 (82.375)
Epoch: [84][2140/14090]	Time 0.760 (0.769)	Data 0.001 (0.003)	Loss 1.8103 (1.7810)	Prec@1 55.469 (53.164)	Prec@5 80.469 (82.377)
Epoch: [84][2150/14090]	Time 0.760 (0.769)	Data 0.001 (0.003)	Loss 1.9519 (1.7807)	Prec@1 50.781 (53.169)	Prec@5 79.688 (82.382)
Epoch: [84][2160/14090]	Time 0.874 (0.769)	Data 0.001 (0.003)	Loss 2.0780 (1.7811)	Prec@1 46.094 (53.167)	Prec@5 79.688 (82.374)
Epoch: [84][2170/14090]	Time 0.736 (0.769)	Data 0.001 (0.003)	Loss 1.7094 (1.7814)	Prec@1 53.125 (53.153)	Prec@5 82.812 (82.369)
Epoch: [84][2180/14090]	Time 0.764 (0.769)	Data 0.001 (0.003)	Loss 1.7842 (1.7816)	Prec@1 45.312 (53.148)	Prec@5 80.469 (82.361)
Epoch: [84][2190/14090]	Time 0.755 (0.769)	Data 0.001 (0.003)	Loss 1.9845 (1.7821)	Prec@1 48.438 (53.131)	Prec@5 78.125 (82.353)
Epoch: [84][2200/14090]	Time 0.723 (0.769)	Data 0.001 (0.003)	Loss 2.0936 (1.7823)	Prec@1 43.750 (53.126)	Prec@5 76.562 (82.352)
Epoch: [84][2210/14090]	Time 0.742 (0.769)	Data 0.004 (0.003)	Loss 1.9906 (1.7821)	Prec@1 46.875 (53.130)	Prec@5 78.125 (82.358)
Epoch: [84][2220/14090]	Time 0.769 (0.769)	Data 0.001 (0.003)	Loss 1.7176 (1.7819)	Prec@1 54.688 (53.133)	Prec@5 82.812 (82.361)
Epoch: [84][2230/14090]	Time 0.866 (0.769)	Data 0.001 (0.003)	Loss 1.8600 (1.7823)	Prec@1 54.688 (53.124)	Prec@5 85.938 (82.361)
Epoch: [84][2240/14090]	Time 0.756 (0.769)	Data 0.001 (0.003)	Loss 1.8763 (1.7821)	Prec@1 53.906 (53.133)	Prec@5 79.688 (82.358)
Epoch: [84][2250/14090]	Time 0.732 (0.769)	Data 0.001 (0.003)	Loss 1.6292 (1.7819)	Prec@1 58.594 (53.145)	Prec@5 79.688 (82.362)
Epoch: [84][2260/14090]	Time 0.730 (0.769)	Data 0.001 (0.003)	Loss 1.9572 (1.7818)	Prec@1 44.531 (53.151)	Prec@5 75.781 (82.358)
Epoch: [84][2270/14090]	Time 0.773 (0.769)	Data 0.001 (0.003)	Loss 2.1276 (1.7821)	Prec@1 44.531 (53.142)	Prec@5 75.781 (82.347)
Epoch: [84][2280/14090]	Time 0.744 (0.769)	Data 0.001 (0.003)	Loss 1.8922 (1.7818)	Prec@1 53.125 (53.148)	Prec@5 78.906 (82.351)
Epoch: [84][2290/14090]	Time 0.771 (0.769)	Data 0.001 (0.003)	Loss 1.7560 (1.7817)	Prec@1 53.906 (53.150)	Prec@5 83.594 (82.349)
Epoch: [84][2300/14090]	Time 0.892 (0.769)	Data 0.001 (0.003)	Loss 1.5084 (1.7817)	Prec@1 57.812 (53.145)	Prec@5 87.500 (82.349)
Epoch: [84][2310/14090]	Time 0.759 (0.769)	Data 0.001 (0.003)	Loss 1.8818 (1.7819)	Prec@1 44.531 (53.137)	Prec@5 84.375 (82.345)
Epoch: [84][2320/14090]	Time 0.737 (0.769)	Data 0.001 (0.003)	Loss 1.8086 (1.7821)	Prec@1 52.344 (53.137)	Prec@5 83.594 (82.343)
Epoch: [84][2330/14090]	Time 0.790 (0.769)	Data 0.001 (0.003)	Loss 1.9451 (1.7821)	Prec@1 48.438 (53.136)	Prec@5 81.250 (82.342)
Epoch: [84][2340/14090]	Time 0.739 (0.769)	Data 0.001 (0.003)	Loss 1.5338 (1.7821)	Prec@1 58.594 (53.135)	Prec@5 89.062 (82.345)
Epoch: [84][2350/14090]	Time 0.755 (0.769)	Data 0.001 (0.003)	Loss 1.7674 (1.7822)	Prec@1 54.688 (53.136)	Prec@5 85.156 (82.341)
Epoch: [84][2360/14090]	Time 0.732 (0.769)	Data 0.001 (0.003)	Loss 1.9080 (1.7823)	Prec@1 50.000 (53.133)	Prec@5 81.250 (82.338)
Epoch: [84][2370/14090]	Time 0.899 (0.769)	Data 0.001 (0.003)	Loss 2.0341 (1.7825)	Prec@1 46.094 (53.129)	Prec@5 82.031 (82.330)
Epoch: [84][2380/14090]	Time 0.733 (0.769)	Data 0.001 (0.003)	Loss 1.9234 (1.7825)	Prec@1 53.906 (53.138)	Prec@5 82.812 (82.330)
Epoch: [84][2390/14090]	Time 0.762 (0.769)	Data 0.001 (0.003)	Loss 1.9099 (1.7828)	Prec@1 50.000 (53.139)	Prec@5 78.906 (82.327)
Epoch: [84][2400/14090]	Time 0.738 (0.769)	Data 0.001 (0.003)	Loss 1.7374 (1.7822)	Prec@1 52.344 (53.152)	Prec@5 84.375 (82.332)
Epoch: [84][2410/14090]	Time 0.754 (0.769)	Data 0.001 (0.003)	Loss 1.6385 (1.7820)	Prec@1 58.594 (53.161)	Prec@5 83.594 (82.336)
Epoch: [84][2420/14090]	Time 0.740 (0.769)	Data 0.001 (0.003)	Loss 1.7609 (1.7818)	Prec@1 53.125 (53.167)	Prec@5 84.375 (82.343)
Epoch: [84][2430/14090]	Time 0.739 (0.769)	Data 0.001 (0.003)	Loss 1.6712 (1.7817)	Prec@1 47.656 (53.161)	Prec@5 86.719 (82.346)
Epoch: [84][2440/14090]	Time 0.876 (0.769)	Data 0.001 (0.003)	Loss 1.5824 (1.7813)	Prec@1 54.688 (53.166)	Prec@5 82.812 (82.350)
Epoch: [84][2450/14090]	Time 0.775 (0.769)	Data 0.001 (0.003)	Loss 1.8637 (1.7817)	Prec@1 49.219 (53.164)	Prec@5 78.125 (82.343)
Epoch: [84][2460/14090]	Time 0.743 (0.769)	Data 0.001 (0.003)	Loss 2.0875 (1.7820)	Prec@1 46.094 (53.157)	Prec@5 76.562 (82.339)
Epoch: [84][2470/14090]	Time 0.766 (0.769)	Data 0.001 (0.003)	Loss 2.0168 (1.7819)	Prec@1 46.094 (53.153)	Prec@5 78.906 (82.344)
Epoch: [84][2480/14090]	Time 0.738 (0.769)	Data 0.001 (0.003)	Loss 1.6231 (1.7822)	Prec@1 52.344 (53.149)	Prec@5 84.375 (82.339)
Epoch: [84][2490/14090]	Time 0.752 (0.769)	Data 0.001 (0.003)	Loss 1.7780 (1.7818)	Prec@1 53.906 (53.159)	Prec@5 84.375 (82.344)
Epoch: [84][2500/14090]	Time 0.781 (0.769)	Data 0.001 (0.003)	Loss 1.8836 (1.7818)	Prec@1 46.875 (53.156)	Prec@5 84.375 (82.342)
Epoch: [84][2510/14090]	Time 0.885 (0.769)	Data 0.001 (0.003)	Loss 1.9626 (1.7818)	Prec@1 50.000 (53.156)	Prec@5 76.562 (82.341)
Epoch: [84][2520/14090]	Time 0.752 (0.769)	Data 0.001 (0.003)	Loss 1.6771 (1.7816)	Prec@1 58.594 (53.157)	Prec@5 84.375 (82.347)
Epoch: [84][2530/14090]	Time 0.751 (0.769)	Data 0.001 (0.003)	Loss 1.8389 (1.7814)	Prec@1 56.250 (53.160)	Prec@5 82.812 (82.353)
Epoch: [84][2540/14090]	Time 0.739 (0.769)	Data 0.001 (0.003)	Loss 1.6649 (1.7814)	Prec@1 53.906 (53.164)	Prec@5 82.812 (82.353)
Epoch: [84][2550/14090]	Time 0.767 (0.769)	Data 0.001 (0.003)	Loss 2.0459 (1.7817)	Prec@1 49.219 (53.154)	Prec@5 78.125 (82.346)
Epoch: [84][2560/14090]	Time 0.747 (0.769)	Data 0.001 (0.003)	Loss 1.7318 (1.7818)	Prec@1 57.031 (53.154)	Prec@5 82.812 (82.338)
Epoch: [84][2570/14090]	Time 0.753 (0.769)	Data 0.001 (0.003)	Loss 1.6924 (1.7819)	Prec@1 53.906 (53.149)	Prec@5 82.031 (82.335)
Epoch: [84][2580/14090]	Time 0.869 (0.769)	Data 0.001 (0.003)	Loss 2.1255 (1.7822)	Prec@1 44.531 (53.146)	Prec@5 76.562 (82.329)
Epoch: [84][2590/14090]	Time 0.744 (0.769)	Data 0.001 (0.003)	Loss 1.6536 (1.7821)	Prec@1 59.375 (53.147)	Prec@5 85.938 (82.334)
Epoch: [84][2600/14090]	Time 0.779 (0.769)	Data 0.001 (0.003)	Loss 1.8086 (1.7819)	Prec@1 53.906 (53.154)	Prec@5 79.688 (82.335)
Epoch: [84][2610/14090]	Time 0.735 (0.769)	Data 0.002 (0.003)	Loss 1.6742 (1.7821)	Prec@1 51.562 (53.143)	Prec@5 84.375 (82.335)
Epoch: [84][2620/14090]	Time 0.780 (0.769)	Data 0.001 (0.003)	Loss 1.6175 (1.7821)	Prec@1 52.344 (53.141)	Prec@5 82.812 (82.333)
Epoch: [84][2630/14090]	Time 0.752 (0.769)	Data 0.001 (0.003)	Loss 1.9261 (1.7821)	Prec@1 51.562 (53.148)	Prec@5 82.812 (82.333)
Epoch: [84][2640/14090]	Time 0.779 (0.769)	Data 0.001 (0.003)	Loss 1.7287 (1.7821)	Prec@1 57.812 (53.144)	Prec@5 84.375 (82.331)
Epoch: [84][2650/14090]	Time 0.923 (0.769)	Data 0.001 (0.003)	Loss 1.5952 (1.7820)	Prec@1 57.031 (53.151)	Prec@5 85.938 (82.332)
Epoch: [84][2660/14090]	Time 0.735 (0.769)	Data 0.001 (0.003)	Loss 1.7389 (1.7818)	Prec@1 50.000 (53.151)	Prec@5 83.594 (82.333)
Epoch: [84][2670/14090]	Time 0.780 (0.769)	Data 0.001 (0.003)	Loss 1.4095 (1.7816)	Prec@1 59.375 (53.161)	Prec@5 89.844 (82.335)
Epoch: [84][2680/14090]	Time 0.730 (0.769)	Data 0.001 (0.003)	Loss 1.9218 (1.7818)	Prec@1 47.656 (53.157)	Prec@5 76.562 (82.330)
Epoch: [84][2690/14090]	Time 0.780 (0.769)	Data 0.001 (0.003)	Loss 1.5263 (1.7818)	Prec@1 56.250 (53.159)	Prec@5 89.062 (82.329)
Epoch: [84][2700/14090]	Time 0.754 (0.769)	Data 0.001 (0.003)	Loss 1.8126 (1.7817)	Prec@1 50.000 (53.163)	Prec@5 82.031 (82.328)
Epoch: [84][2710/14090]	Time 0.782 (0.769)	Data 0.001 (0.003)	Loss 1.7869 (1.7815)	Prec@1 56.250 (53.164)	Prec@5 78.125 (82.331)
Epoch: [84][2720/14090]	Time 0.883 (0.769)	Data 0.001 (0.003)	Loss 1.8361 (1.7815)	Prec@1 55.469 (53.161)	Prec@5 77.344 (82.326)
Epoch: [84][2730/14090]	Time 0.753 (0.769)	Data 0.001 (0.003)	Loss 1.5601 (1.7816)	Prec@1 59.375 (53.160)	Prec@5 85.156 (82.328)
Epoch: [84][2740/14090]	Time 0.740 (0.769)	Data 0.001 (0.003)	Loss 2.0245 (1.7817)	Prec@1 44.531 (53.150)	Prec@5 78.125 (82.329)
Epoch: [84][2750/14090]	Time 0.752 (0.769)	Data 0.001 (0.003)	Loss 1.7490 (1.7815)	Prec@1 47.656 (53.151)	Prec@5 83.594 (82.334)
Epoch: [84][2760/14090]	Time 0.740 (0.769)	Data 0.001 (0.003)	Loss 1.6252 (1.7817)	Prec@1 57.031 (53.144)	Prec@5 82.031 (82.331)
Epoch: [84][2770/14090]	Time 0.758 (0.769)	Data 0.001 (0.003)	Loss 1.7675 (1.7815)	Prec@1 49.219 (53.147)	Prec@5 84.375 (82.334)
Epoch: [84][2780/14090]	Time 0.776 (0.769)	Data 0.001 (0.003)	Loss 2.0041 (1.7814)	Prec@1 47.656 (53.151)	Prec@5 78.125 (82.339)
Epoch: [84][2790/14090]	Time 0.871 (0.769)	Data 0.001 (0.003)	Loss 1.6574 (1.7814)	Prec@1 54.688 (53.145)	Prec@5 83.594 (82.339)
Epoch: [84][2800/14090]	Time 0.746 (0.769)	Data 0.001 (0.003)	Loss 1.8143 (1.7815)	Prec@1 55.469 (53.142)	Prec@5 81.250 (82.336)
Epoch: [84][2810/14090]	Time 0.753 (0.769)	Data 0.001 (0.003)	Loss 1.5927 (1.7814)	Prec@1 53.125 (53.145)	Prec@5 86.719 (82.336)
Epoch: [84][2820/14090]	Time 0.733 (0.769)	Data 0.001 (0.003)	Loss 1.7561 (1.7816)	Prec@1 55.469 (53.142)	Prec@5 80.469 (82.333)
Epoch: [84][2830/14090]	Time 0.727 (0.769)	Data 0.001 (0.003)	Loss 1.6576 (1.7817)	Prec@1 57.812 (53.139)	Prec@5 85.156 (82.335)
Epoch: [84][2840/14090]	Time 0.751 (0.769)	Data 0.001 (0.003)	Loss 1.8373 (1.7816)	Prec@1 53.125 (53.139)	Prec@5 81.250 (82.334)
Epoch: [84][2850/14090]	Time 0.762 (0.769)	Data 0.001 (0.003)	Loss 1.9128 (1.7817)	Prec@1 51.562 (53.139)	Prec@5 79.688 (82.330)
Epoch: [84][2860/14090]	Time 0.902 (0.769)	Data 0.001 (0.003)	Loss 1.5959 (1.7816)	Prec@1 59.375 (53.142)	Prec@5 86.719 (82.332)
Epoch: [84][2870/14090]	Time 0.737 (0.769)	Data 0.001 (0.003)	Loss 1.9485 (1.7814)	Prec@1 51.562 (53.141)	Prec@5 81.250 (82.337)
Epoch: [84][2880/14090]	Time 0.753 (0.769)	Data 0.001 (0.003)	Loss 1.4524 (1.7813)	Prec@1 57.812 (53.144)	Prec@5 87.500 (82.341)
Epoch: [84][2890/14090]	Time 0.753 (0.769)	Data 0.001 (0.003)	Loss 1.8242 (1.7815)	Prec@1 51.562 (53.145)	Prec@5 83.594 (82.338)
Epoch: [84][2900/14090]	Time 0.730 (0.769)	Data 0.001 (0.003)	Loss 1.7235 (1.7814)	Prec@1 53.906 (53.144)	Prec@5 83.594 (82.345)
Epoch: [84][2910/14090]	Time 0.756 (0.769)	Data 0.001 (0.003)	Loss 1.7581 (1.7816)	Prec@1 59.375 (53.138)	Prec@5 82.812 (82.343)
Epoch: [84][2920/14090]	Time 0.781 (0.769)	Data 0.001 (0.003)	Loss 1.5261 (1.7817)	Prec@1 60.938 (53.139)	Prec@5 86.719 (82.339)
Epoch: [84][2930/14090]	Time 0.883 (0.769)	Data 0.001 (0.003)	Loss 1.7052 (1.7819)	Prec@1 50.781 (53.134)	Prec@5 85.938 (82.334)
Epoch: [84][2940/14090]	Time 0.744 (0.769)	Data 0.001 (0.003)	Loss 1.8653 (1.7820)	Prec@1 53.906 (53.136)	Prec@5 80.469 (82.331)
Epoch: [84][2950/14090]	Time 0.761 (0.769)	Data 0.001 (0.003)	Loss 1.6783 (1.7819)	Prec@1 57.031 (53.140)	Prec@5 83.594 (82.334)
Epoch: [84][2960/14090]	Time 0.760 (0.769)	Data 0.001 (0.003)	Loss 1.7579 (1.7820)	Prec@1 51.562 (53.139)	Prec@5 79.688 (82.331)
Epoch: [84][2970/14090]	Time 0.736 (0.769)	Data 0.001 (0.003)	Loss 1.8116 (1.7817)	Prec@1 56.250 (53.145)	Prec@5 81.250 (82.332)
Epoch: [84][2980/14090]	Time 0.748 (0.769)	Data 0.001 (0.003)	Loss 1.6203 (1.7816)	Prec@1 58.594 (53.148)	Prec@5 85.938 (82.336)
Epoch: [84][2990/14090]	Time 0.726 (0.769)	Data 0.001 (0.003)	Loss 2.1144 (1.7821)	Prec@1 42.969 (53.137)	Prec@5 75.000 (82.326)
Epoch: [84][3000/14090]	Time 0.864 (0.769)	Data 0.001 (0.003)	Loss 1.7555 (1.7816)	Prec@1 50.000 (53.147)	Prec@5 85.156 (82.333)
Epoch: [84][3010/14090]	Time 0.749 (0.769)	Data 0.001 (0.003)	Loss 1.4479 (1.7816)	Prec@1 64.062 (53.154)	Prec@5 88.281 (82.335)
Epoch: [84][3020/14090]	Time 0.747 (0.769)	Data 0.001 (0.003)	Loss 1.7121 (1.7813)	Prec@1 55.469 (53.164)	Prec@5 81.250 (82.338)
Epoch: [84][3030/14090]	Time 0.764 (0.769)	Data 0.001 (0.003)	Loss 1.5359 (1.7811)	Prec@1 54.688 (53.162)	Prec@5 85.938 (82.340)
Epoch: [84][3040/14090]	Time 0.729 (0.769)	Data 0.001 (0.003)	Loss 1.8667 (1.7811)	Prec@1 47.656 (53.164)	Prec@5 78.906 (82.340)
Epoch: [84][3050/14090]	Time 0.745 (0.769)	Data 0.001 (0.003)	Loss 1.7822 (1.7811)	Prec@1 52.344 (53.162)	Prec@5 81.250 (82.343)
Epoch: [84][3060/14090]	Time 0.734 (0.769)	Data 0.001 (0.003)	Loss 1.6010 (1.7809)	Prec@1 54.688 (53.165)	Prec@5 88.281 (82.347)
Epoch: [84][3070/14090]	Time 0.864 (0.769)	Data 0.001 (0.003)	Loss 1.6319 (1.7809)	Prec@1 56.250 (53.166)	Prec@5 83.594 (82.346)
Epoch: [84][3080/14090]	Time 0.730 (0.769)	Data 0.001 (0.003)	Loss 1.8255 (1.7809)	Prec@1 52.344 (53.166)	Prec@5 80.469 (82.344)
Epoch: [84][3090/14090]	Time 0.751 (0.769)	Data 0.001 (0.003)	Loss 1.9052 (1.7806)	Prec@1 51.562 (53.176)	Prec@5 81.250 (82.348)
Epoch: [84][3100/14090]	Time 0.745 (0.769)	Data 0.001 (0.003)	Loss 1.5593 (1.7805)	Prec@1 60.938 (53.177)	Prec@5 83.594 (82.350)
Epoch: [84][3110/14090]	Time 0.771 (0.769)	Data 0.001 (0.003)	Loss 2.1153 (1.7810)	Prec@1 42.969 (53.167)	Prec@5 77.344 (82.341)
Epoch: [84][3120/14090]	Time 0.724 (0.769)	Data 0.001 (0.003)	Loss 1.4991 (1.7808)	Prec@1 56.250 (53.168)	Prec@5 86.719 (82.344)
Epoch: [84][3130/14090]	Time 0.766 (0.769)	Data 0.001 (0.003)	Loss 1.4702 (1.7809)	Prec@1 62.500 (53.168)	Prec@5 85.938 (82.345)
Epoch: [84][3140/14090]	Time 0.853 (0.769)	Data 0.001 (0.003)	Loss 1.8131 (1.7806)	Prec@1 48.438 (53.171)	Prec@5 82.812 (82.353)
Epoch: [84][3150/14090]	Time 0.748 (0.769)	Data 0.001 (0.003)	Loss 2.0421 (1.7807)	Prec@1 49.219 (53.167)	Prec@5 75.000 (82.353)
Epoch: [84][3160/14090]	Time 0.763 (0.769)	Data 0.001 (0.003)	Loss 2.1515 (1.7806)	Prec@1 43.750 (53.171)	Prec@5 81.250 (82.355)
Epoch: [84][3170/14090]	Time 0.731 (0.769)	Data 0.001 (0.003)	Loss 2.0415 (1.7811)	Prec@1 44.531 (53.165)	Prec@5 77.344 (82.342)
Epoch: [84][3180/14090]	Time 0.768 (0.769)	Data 0.001 (0.003)	Loss 1.7915 (1.7809)	Prec@1 50.000 (53.172)	Prec@5 83.594 (82.343)
Epoch: [84][3190/14090]	Time 0.734 (0.769)	Data 0.001 (0.003)	Loss 1.6919 (1.7809)	Prec@1 60.938 (53.169)	Prec@5 85.156 (82.345)
Epoch: [84][3200/14090]	Time 0.746 (0.769)	Data 0.001 (0.002)	Loss 1.7501 (1.7809)	Prec@1 53.125 (53.168)	Prec@5 82.812 (82.349)
Epoch: [84][3210/14090]	Time 0.882 (0.769)	Data 0.001 (0.002)	Loss 1.8467 (1.7810)	Prec@1 52.344 (53.163)	Prec@5 80.469 (82.344)
Epoch: [84][3220/14090]	Time 0.774 (0.769)	Data 0.001 (0.002)	Loss 1.8134 (1.7809)	Prec@1 53.125 (53.166)	Prec@5 81.250 (82.343)
Epoch: [84][3230/14090]	Time 0.746 (0.769)	Data 0.001 (0.002)	Loss 1.9364 (1.7808)	Prec@1 51.562 (53.169)	Prec@5 79.688 (82.343)
Epoch: [84][3240/14090]	Time 0.785 (0.769)	Data 0.001 (0.002)	Loss 1.7888 (1.7808)	Prec@1 53.125 (53.170)	Prec@5 81.250 (82.344)
Epoch: [84][3250/14090]	Time 0.743 (0.769)	Data 0.001 (0.002)	Loss 1.6863 (1.7805)	Prec@1 57.031 (53.174)	Prec@5 82.812 (82.346)
Epoch: [84][3260/14090]	Time 0.759 (0.769)	Data 0.001 (0.002)	Loss 1.9370 (1.7804)	Prec@1 53.125 (53.176)	Prec@5 78.906 (82.347)
Epoch: [84][3270/14090]	Time 0.782 (0.769)	Data 0.001 (0.002)	Loss 1.7038 (1.7805)	Prec@1 53.125 (53.174)	Prec@5 85.156 (82.345)
Epoch: [84][3280/14090]	Time 0.847 (0.769)	Data 0.001 (0.002)	Loss 1.7469 (1.7806)	Prec@1 53.125 (53.171)	Prec@5 80.469 (82.344)
Epoch: [84][3290/14090]	Time 0.747 (0.769)	Data 0.001 (0.002)	Loss 1.8385 (1.7805)	Prec@1 56.250 (53.175)	Prec@5 80.469 (82.346)
Epoch: [84][3300/14090]	Time 0.755 (0.768)	Data 0.001 (0.002)	Loss 2.0880 (1.7807)	Prec@1 43.750 (53.175)	Prec@5 78.906 (82.345)
Epoch: [84][3310/14090]	Time 0.747 (0.768)	Data 0.001 (0.002)	Loss 1.7977 (1.7807)	Prec@1 52.344 (53.179)	Prec@5 78.906 (82.345)
Epoch: [84][3320/14090]	Time 0.749 (0.768)	Data 0.001 (0.002)	Loss 1.7666 (1.7813)	Prec@1 49.219 (53.166)	Prec@5 85.938 (82.337)
Epoch: [84][3330/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 1.7800 (1.7816)	Prec@1 51.562 (53.155)	Prec@5 78.906 (82.330)
Epoch: [84][3340/14090]	Time 0.731 (0.768)	Data 0.001 (0.002)	Loss 1.5426 (1.7816)	Prec@1 58.594 (53.159)	Prec@5 89.062 (82.331)
Epoch: [84][3350/14090]	Time 0.878 (0.768)	Data 0.001 (0.002)	Loss 1.7665 (1.7814)	Prec@1 53.125 (53.158)	Prec@5 80.469 (82.333)
Epoch: [84][3360/14090]	Time 0.759 (0.768)	Data 0.001 (0.002)	Loss 1.7807 (1.7815)	Prec@1 53.125 (53.155)	Prec@5 82.031 (82.336)
Epoch: [84][3370/14090]	Time 0.774 (0.768)	Data 0.001 (0.002)	Loss 1.7584 (1.7815)	Prec@1 50.000 (53.155)	Prec@5 81.250 (82.336)
Epoch: [84][3380/14090]	Time 0.747 (0.768)	Data 0.001 (0.002)	Loss 1.9399 (1.7814)	Prec@1 50.000 (53.157)	Prec@5 79.688 (82.337)
Epoch: [84][3390/14090]	Time 0.745 (0.768)	Data 0.001 (0.002)	Loss 1.7613 (1.7815)	Prec@1 50.000 (53.149)	Prec@5 84.375 (82.332)
Epoch: [84][3400/14090]	Time 0.762 (0.768)	Data 0.001 (0.002)	Loss 1.7817 (1.7817)	Prec@1 51.562 (53.142)	Prec@5 81.250 (82.329)
Epoch: [84][3410/14090]	Time 0.755 (0.768)	Data 0.001 (0.002)	Loss 1.9493 (1.7818)	Prec@1 57.031 (53.138)	Prec@5 78.906 (82.334)
Epoch: [84][3420/14090]	Time 0.947 (0.768)	Data 0.001 (0.002)	Loss 1.7805 (1.7819)	Prec@1 50.000 (53.136)	Prec@5 82.031 (82.331)
Epoch: [84][3430/14090]	Time 0.758 (0.768)	Data 0.001 (0.002)	Loss 1.7950 (1.7819)	Prec@1 57.812 (53.138)	Prec@5 78.906 (82.329)
Epoch: [84][3440/14090]	Time 0.762 (0.768)	Data 0.001 (0.002)	Loss 2.0306 (1.7821)	Prec@1 47.656 (53.135)	Prec@5 75.781 (82.328)
Epoch: [84][3450/14090]	Time 0.750 (0.769)	Data 0.001 (0.002)	Loss 1.9500 (1.7822)	Prec@1 47.656 (53.131)	Prec@5 78.125 (82.328)
Epoch: [84][3460/14090]	Time 0.771 (0.769)	Data 0.001 (0.002)	Loss 1.7951 (1.7826)	Prec@1 47.656 (53.119)	Prec@5 82.812 (82.322)
Epoch: [84][3470/14090]	Time 0.735 (0.769)	Data 0.001 (0.002)	Loss 1.7928 (1.7828)	Prec@1 59.375 (53.118)	Prec@5 84.375 (82.318)
Epoch: [84][3480/14090]	Time 0.738 (0.769)	Data 0.001 (0.002)	Loss 1.7033 (1.7828)	Prec@1 57.812 (53.114)	Prec@5 83.594 (82.320)
Epoch: [84][3490/14090]	Time 0.873 (0.769)	Data 0.001 (0.002)	Loss 1.7884 (1.7827)	Prec@1 55.469 (53.116)	Prec@5 80.469 (82.322)
Epoch: [84][3500/14090]	Time 0.757 (0.769)	Data 0.001 (0.002)	Loss 1.4984 (1.7826)	Prec@1 60.156 (53.118)	Prec@5 88.281 (82.324)
Epoch: [84][3510/14090]	Time 0.775 (0.768)	Data 0.001 (0.002)	Loss 2.0263 (1.7829)	Prec@1 54.688 (53.116)	Prec@5 78.125 (82.319)
Epoch: [84][3520/14090]	Time 0.743 (0.768)	Data 0.001 (0.002)	Loss 1.9836 (1.7829)	Prec@1 50.781 (53.114)	Prec@5 81.250 (82.319)
Epoch: [84][3530/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 1.7584 (1.7829)	Prec@1 56.250 (53.113)	Prec@5 83.594 (82.317)
Epoch: [84][3540/14090]	Time 0.725 (0.768)	Data 0.001 (0.002)	Loss 1.5163 (1.7829)	Prec@1 59.375 (53.115)	Prec@5 85.938 (82.320)
Epoch: [84][3550/14090]	Time 0.751 (0.768)	Data 0.001 (0.002)	Loss 1.6069 (1.7830)	Prec@1 57.031 (53.119)	Prec@5 86.719 (82.315)
Epoch: [84][3560/14090]	Time 0.888 (0.768)	Data 0.001 (0.002)	Loss 2.0609 (1.7831)	Prec@1 46.875 (53.116)	Prec@5 78.906 (82.315)
Epoch: [84][3570/14090]	Time 0.760 (0.768)	Data 0.001 (0.002)	Loss 1.7539 (1.7830)	Prec@1 54.688 (53.119)	Prec@5 81.250 (82.316)
Epoch: [84][3580/14090]	Time 0.727 (0.768)	Data 0.001 (0.002)	Loss 1.7258 (1.7831)	Prec@1 57.031 (53.117)	Prec@5 84.375 (82.314)
Epoch: [84][3590/14090]	Time 0.752 (0.768)	Data 0.001 (0.002)	Loss 1.9262 (1.7829)	Prec@1 46.094 (53.116)	Prec@5 84.375 (82.319)
Epoch: [84][3600/14090]	Time 0.739 (0.768)	Data 0.001 (0.002)	Loss 1.6924 (1.7827)	Prec@1 53.906 (53.121)	Prec@5 83.594 (82.323)
Epoch: [84][3610/14090]	Time 0.755 (0.768)	Data 0.001 (0.002)	Loss 1.7907 (1.7827)	Prec@1 53.125 (53.124)	Prec@5 82.031 (82.329)
Epoch: [84][3620/14090]	Time 0.775 (0.768)	Data 0.001 (0.002)	Loss 1.7613 (1.7825)	Prec@1 53.906 (53.127)	Prec@5 84.375 (82.330)
Epoch: [84][3630/14090]	Time 0.828 (0.768)	Data 0.001 (0.002)	Loss 1.5755 (1.7825)	Prec@1 63.281 (53.133)	Prec@5 85.938 (82.328)
Epoch: [84][3640/14090]	Time 0.731 (0.768)	Data 0.001 (0.002)	Loss 1.5117 (1.7826)	Prec@1 61.719 (53.134)	Prec@5 84.375 (82.328)
Epoch: [84][3650/14090]	Time 0.724 (0.768)	Data 0.001 (0.002)	Loss 1.8092 (1.7826)	Prec@1 51.562 (53.133)	Prec@5 79.688 (82.327)
Epoch: [84][3660/14090]	Time 0.746 (0.768)	Data 0.001 (0.002)	Loss 2.0477 (1.7828)	Prec@1 46.875 (53.126)	Prec@5 79.688 (82.324)
Epoch: [84][3670/14090]	Time 0.760 (0.768)	Data 0.001 (0.002)	Loss 1.7225 (1.7828)	Prec@1 56.250 (53.129)	Prec@5 84.375 (82.323)
Epoch: [84][3680/14090]	Time 0.724 (0.768)	Data 0.001 (0.002)	Loss 1.9798 (1.7829)	Prec@1 46.094 (53.127)	Prec@5 80.469 (82.324)
Epoch: [84][3690/14090]	Time 0.735 (0.768)	Data 0.001 (0.002)	Loss 1.5659 (1.7829)	Prec@1 60.938 (53.132)	Prec@5 82.812 (82.324)
Epoch: [84][3700/14090]	Time 0.866 (0.768)	Data 0.001 (0.002)	Loss 1.6142 (1.7829)	Prec@1 58.594 (53.134)	Prec@5 84.375 (82.327)
Epoch: [84][3710/14090]	Time 0.736 (0.768)	Data 0.001 (0.002)	Loss 1.8899 (1.7829)	Prec@1 53.906 (53.132)	Prec@5 81.250 (82.323)
Epoch: [84][3720/14090]	Time 0.746 (0.768)	Data 0.001 (0.002)	Loss 1.9616 (1.7828)	Prec@1 46.875 (53.135)	Prec@5 76.562 (82.324)
Epoch: [84][3730/14090]	Time 0.758 (0.768)	Data 0.001 (0.002)	Loss 1.8998 (1.7829)	Prec@1 55.469 (53.132)	Prec@5 78.125 (82.323)
Epoch: [84][3740/14090]	Time 0.773 (0.768)	Data 0.001 (0.002)	Loss 1.6459 (1.7827)	Prec@1 53.125 (53.134)	Prec@5 88.281 (82.327)
Epoch: [84][3750/14090]	Time 0.753 (0.768)	Data 0.001 (0.002)	Loss 1.6503 (1.7827)	Prec@1 56.250 (53.133)	Prec@5 84.375 (82.326)
Epoch: [84][3760/14090]	Time 0.777 (0.768)	Data 0.001 (0.002)	Loss 1.9529 (1.7829)	Prec@1 47.656 (53.132)	Prec@5 82.812 (82.326)
Epoch: [84][3770/14090]	Time 0.877 (0.768)	Data 0.001 (0.002)	Loss 1.6396 (1.7829)	Prec@1 60.938 (53.133)	Prec@5 82.031 (82.325)
Epoch: [84][3780/14090]	Time 0.771 (0.768)	Data 0.001 (0.002)	Loss 1.7702 (1.7830)	Prec@1 53.125 (53.134)	Prec@5 82.812 (82.323)
Epoch: [84][3790/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 1.8781 (1.7832)	Prec@1 50.781 (53.130)	Prec@5 78.906 (82.318)
Epoch: [84][3800/14090]	Time 0.765 (0.768)	Data 0.001 (0.002)	Loss 2.1130 (1.7831)	Prec@1 51.562 (53.135)	Prec@5 78.906 (82.321)
Epoch: [84][3810/14090]	Time 0.736 (0.768)	Data 0.001 (0.002)	Loss 1.9056 (1.7832)	Prec@1 54.688 (53.133)	Prec@5 81.250 (82.319)
Epoch: [84][3820/14090]	Time 0.759 (0.768)	Data 0.001 (0.002)	Loss 2.0462 (1.7832)	Prec@1 43.750 (53.131)	Prec@5 76.562 (82.320)
Epoch: [84][3830/14090]	Time 0.765 (0.768)	Data 0.001 (0.002)	Loss 1.8050 (1.7833)	Prec@1 52.344 (53.128)	Prec@5 79.688 (82.320)
Epoch: [84][3840/14090]	Time 0.868 (0.768)	Data 0.001 (0.002)	Loss 1.8053 (1.7834)	Prec@1 50.781 (53.126)	Prec@5 74.219 (82.316)
Epoch: [84][3850/14090]	Time 0.757 (0.768)	Data 0.001 (0.002)	Loss 2.0537 (1.7835)	Prec@1 46.875 (53.124)	Prec@5 78.125 (82.313)
Epoch: [84][3860/14090]	Time 0.777 (0.768)	Data 0.001 (0.002)	Loss 1.9034 (1.7835)	Prec@1 50.000 (53.128)	Prec@5 79.688 (82.310)
Epoch: [84][3870/14090]	Time 0.739 (0.768)	Data 0.001 (0.002)	Loss 1.9042 (1.7837)	Prec@1 51.562 (53.121)	Prec@5 80.469 (82.305)
Epoch: [84][3880/14090]	Time 0.743 (0.768)	Data 0.001 (0.002)	Loss 1.7491 (1.7838)	Prec@1 53.125 (53.120)	Prec@5 80.469 (82.303)
Epoch: [84][3890/14090]	Time 0.758 (0.768)	Data 0.001 (0.002)	Loss 1.8912 (1.7838)	Prec@1 50.781 (53.122)	Prec@5 85.156 (82.301)
Epoch: [84][3900/14090]	Time 0.777 (0.768)	Data 0.001 (0.002)	Loss 1.7157 (1.7837)	Prec@1 57.031 (53.127)	Prec@5 81.250 (82.300)
Epoch: [84][3910/14090]	Time 0.845 (0.768)	Data 0.001 (0.002)	Loss 1.5816 (1.7837)	Prec@1 53.125 (53.125)	Prec@5 88.281 (82.302)
Epoch: [84][3920/14090]	Time 0.761 (0.768)	Data 0.001 (0.002)	Loss 1.8177 (1.7838)	Prec@1 50.781 (53.124)	Prec@5 82.031 (82.303)
Epoch: [84][3930/14090]	Time 0.735 (0.768)	Data 0.001 (0.002)	Loss 1.8004 (1.7840)	Prec@1 51.562 (53.120)	Prec@5 83.594 (82.299)
Epoch: [84][3940/14090]	Time 0.735 (0.768)	Data 0.001 (0.002)	Loss 1.7373 (1.7842)	Prec@1 57.812 (53.114)	Prec@5 83.594 (82.293)
Epoch: [84][3950/14090]	Time 0.736 (0.768)	Data 0.001 (0.002)	Loss 1.9172 (1.7842)	Prec@1 49.219 (53.113)	Prec@5 77.344 (82.292)
Epoch: [84][3960/14090]	Time 0.752 (0.768)	Data 0.001 (0.002)	Loss 1.8727 (1.7843)	Prec@1 47.656 (53.108)	Prec@5 84.375 (82.291)
Epoch: [84][3970/14090]	Time 0.783 (0.768)	Data 0.001 (0.002)	Loss 1.7046 (1.7845)	Prec@1 51.562 (53.106)	Prec@5 84.375 (82.287)
Epoch: [84][3980/14090]	Time 0.881 (0.768)	Data 0.001 (0.002)	Loss 2.0118 (1.7844)	Prec@1 50.781 (53.107)	Prec@5 79.688 (82.290)
Epoch: [84][3990/14090]	Time 0.754 (0.768)	Data 0.001 (0.002)	Loss 1.8323 (1.7845)	Prec@1 50.781 (53.104)	Prec@5 79.688 (82.288)
Epoch: [84][4000/14090]	Time 0.744 (0.768)	Data 0.001 (0.002)	Loss 1.7881 (1.7846)	Prec@1 54.688 (53.107)	Prec@5 80.469 (82.285)
Epoch: [84][4010/14090]	Time 0.784 (0.768)	Data 0.001 (0.002)	Loss 1.9854 (1.7847)	Prec@1 50.000 (53.103)	Prec@5 80.469 (82.284)
Epoch: [84][4020/14090]	Time 0.765 (0.768)	Data 0.001 (0.002)	Loss 1.5218 (1.7845)	Prec@1 54.688 (53.108)	Prec@5 87.500 (82.287)
Epoch: [84][4030/14090]	Time 0.759 (0.768)	Data 0.001 (0.002)	Loss 1.7779 (1.7844)	Prec@1 57.812 (53.109)	Prec@5 81.250 (82.289)
Epoch: [84][4040/14090]	Time 0.733 (0.768)	Data 0.001 (0.002)	Loss 2.2912 (1.7845)	Prec@1 47.656 (53.107)	Prec@5 69.531 (82.289)
Epoch: [84][4050/14090]	Time 0.898 (0.768)	Data 0.001 (0.002)	Loss 1.8110 (1.7845)	Prec@1 55.469 (53.107)	Prec@5 83.594 (82.286)
Epoch: [84][4060/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 1.8810 (1.7846)	Prec@1 57.031 (53.105)	Prec@5 79.688 (82.283)
Epoch: [84][4070/14090]	Time 0.743 (0.768)	Data 0.001 (0.002)	Loss 1.6305 (1.7848)	Prec@1 60.938 (53.103)	Prec@5 81.250 (82.281)
Epoch: [84][4080/14090]	Time 0.757 (0.768)	Data 0.001 (0.002)	Loss 1.6997 (1.7848)	Prec@1 52.344 (53.100)	Prec@5 86.719 (82.281)
Epoch: [84][4090/14090]	Time 0.744 (0.768)	Data 0.001 (0.002)	Loss 1.9223 (1.7848)	Prec@1 50.000 (53.100)	Prec@5 82.031 (82.280)
Epoch: [84][4100/14090]	Time 0.738 (0.768)	Data 0.001 (0.002)	Loss 1.6116 (1.7848)	Prec@1 54.688 (53.096)	Prec@5 82.031 (82.283)
Epoch: [84][4110/14090]	Time 0.745 (0.768)	Data 0.001 (0.002)	Loss 1.9416 (1.7848)	Prec@1 53.906 (53.098)	Prec@5 79.688 (82.282)
Epoch: [84][4120/14090]	Time 0.879 (0.768)	Data 0.001 (0.002)	Loss 1.7854 (1.7849)	Prec@1 55.469 (53.098)	Prec@5 85.156 (82.282)
Epoch: [84][4130/14090]	Time 0.741 (0.768)	Data 0.001 (0.002)	Loss 1.5677 (1.7850)	Prec@1 54.688 (53.095)	Prec@5 85.156 (82.281)
Epoch: [84][4140/14090]	Time 0.745 (0.768)	Data 0.001 (0.002)	Loss 1.7651 (1.7851)	Prec@1 51.562 (53.095)	Prec@5 83.594 (82.277)
Epoch: [84][4150/14090]	Time 0.738 (0.768)	Data 0.001 (0.002)	Loss 1.5580 (1.7852)	Prec@1 56.250 (53.094)	Prec@5 85.938 (82.276)
Epoch: [84][4160/14090]	Time 0.792 (0.768)	Data 0.001 (0.002)	Loss 1.7229 (1.7853)	Prec@1 57.031 (53.092)	Prec@5 80.469 (82.273)
Epoch: [84][4170/14090]	Time 0.747 (0.768)	Data 0.001 (0.002)	Loss 1.7564 (1.7855)	Prec@1 53.906 (53.091)	Prec@5 84.375 (82.270)
Epoch: [84][4180/14090]	Time 0.731 (0.768)	Data 0.001 (0.002)	Loss 1.8502 (1.7855)	Prec@1 52.344 (53.088)	Prec@5 85.156 (82.272)
Epoch: [84][4190/14090]	Time 0.854 (0.768)	Data 0.001 (0.002)	Loss 1.4884 (1.7854)	Prec@1 57.031 (53.092)	Prec@5 89.062 (82.275)
Epoch: [84][4200/14090]	Time 0.741 (0.768)	Data 0.001 (0.002)	Loss 2.1258 (1.7857)	Prec@1 46.094 (53.091)	Prec@5 75.000 (82.269)
Epoch: [84][4210/14090]	Time 0.738 (0.768)	Data 0.001 (0.002)	Loss 1.7888 (1.7858)	Prec@1 47.656 (53.088)	Prec@5 83.594 (82.267)
Epoch: [84][4220/14090]	Time 0.778 (0.768)	Data 0.001 (0.002)	Loss 1.7179 (1.7859)	Prec@1 56.250 (53.087)	Prec@5 82.031 (82.263)
Epoch: [84][4230/14090]	Time 0.728 (0.768)	Data 0.001 (0.002)	Loss 1.5026 (1.7858)	Prec@1 60.938 (53.086)	Prec@5 88.281 (82.265)
Epoch: [84][4240/14090]	Time 0.764 (0.768)	Data 0.001 (0.002)	Loss 1.9771 (1.7858)	Prec@1 50.000 (53.083)	Prec@5 76.562 (82.264)
Epoch: [84][4250/14090]	Time 0.767 (0.768)	Data 0.001 (0.002)	Loss 1.6541 (1.7858)	Prec@1 57.031 (53.082)	Prec@5 79.688 (82.262)
Epoch: [84][4260/14090]	Time 0.879 (0.768)	Data 0.001 (0.002)	Loss 2.0229 (1.7861)	Prec@1 47.656 (53.077)	Prec@5 76.562 (82.258)
Epoch: [84][4270/14090]	Time 0.774 (0.768)	Data 0.001 (0.002)	Loss 1.7448 (1.7861)	Prec@1 50.000 (53.078)	Prec@5 82.031 (82.253)
Epoch: [84][4280/14090]	Time 0.746 (0.768)	Data 0.001 (0.002)	Loss 1.8512 (1.7862)	Prec@1 48.438 (53.075)	Prec@5 80.469 (82.252)
Epoch: [84][4290/14090]	Time 0.774 (0.768)	Data 0.001 (0.002)	Loss 1.9832 (1.7863)	Prec@1 48.438 (53.073)	Prec@5 79.688 (82.251)
Epoch: [84][4300/14090]	Time 0.763 (0.768)	Data 0.001 (0.002)	Loss 1.8986 (1.7863)	Prec@1 50.781 (53.070)	Prec@5 75.781 (82.250)
Epoch: [84][4310/14090]	Time 0.757 (0.768)	Data 0.001 (0.002)	Loss 1.5047 (1.7861)	Prec@1 58.594 (53.075)	Prec@5 86.719 (82.253)
Epoch: [84][4320/14090]	Time 0.766 (0.768)	Data 0.001 (0.002)	Loss 1.6552 (1.7860)	Prec@1 59.375 (53.082)	Prec@5 83.594 (82.254)
Epoch: [84][4330/14090]	Time 0.825 (0.768)	Data 0.001 (0.002)	Loss 1.7624 (1.7858)	Prec@1 50.000 (53.086)	Prec@5 83.594 (82.258)
Epoch: [84][4340/14090]	Time 0.730 (0.768)	Data 0.001 (0.002)	Loss 1.7495 (1.7859)	Prec@1 49.219 (53.082)	Prec@5 84.375 (82.256)
Epoch: [84][4350/14090]	Time 0.730 (0.768)	Data 0.001 (0.002)	Loss 1.9586 (1.7860)	Prec@1 46.875 (53.080)	Prec@5 82.031 (82.258)
Epoch: [84][4360/14090]	Time 0.777 (0.768)	Data 0.001 (0.002)	Loss 1.7953 (1.7859)	Prec@1 57.812 (53.081)	Prec@5 80.469 (82.257)
Epoch: [84][4370/14090]	Time 0.773 (0.768)	Data 0.001 (0.002)	Loss 1.5658 (1.7858)	Prec@1 57.812 (53.084)	Prec@5 85.938 (82.260)
Epoch: [84][4380/14090]	Time 0.773 (0.768)	Data 0.001 (0.002)	Loss 1.6542 (1.7858)	Prec@1 57.812 (53.084)	Prec@5 85.938 (82.261)
Epoch: [84][4390/14090]	Time 0.757 (0.768)	Data 0.001 (0.002)	Loss 1.8012 (1.7857)	Prec@1 49.219 (53.084)	Prec@5 82.031 (82.262)
Epoch: [84][4400/14090]	Time 0.828 (0.768)	Data 0.002 (0.002)	Loss 1.7527 (1.7856)	Prec@1 50.000 (53.080)	Prec@5 82.031 (82.267)
Epoch: [84][4410/14090]	Time 0.777 (0.768)	Data 0.001 (0.002)	Loss 1.7559 (1.7856)	Prec@1 55.469 (53.081)	Prec@5 84.375 (82.267)
Epoch: [84][4420/14090]	Time 0.725 (0.768)	Data 0.001 (0.002)	Loss 1.8150 (1.7856)	Prec@1 52.344 (53.077)	Prec@5 82.812 (82.268)
Epoch: [84][4430/14090]	Time 0.724 (0.768)	Data 0.001 (0.002)	Loss 2.1699 (1.7857)	Prec@1 48.438 (53.076)	Prec@5 73.438 (82.268)
Epoch: [84][4440/14090]	Time 0.741 (0.768)	Data 0.001 (0.002)	Loss 2.1201 (1.7859)	Prec@1 48.438 (53.072)	Prec@5 74.219 (82.262)
Epoch: [84][4450/14090]	Time 0.755 (0.768)	Data 0.001 (0.002)	Loss 1.9210 (1.7861)	Prec@1 51.562 (53.069)	Prec@5 82.031 (82.257)
Epoch: [84][4460/14090]	Time 0.772 (0.768)	Data 0.001 (0.002)	Loss 1.5892 (1.7862)	Prec@1 61.719 (53.068)	Prec@5 89.062 (82.256)
Epoch: [84][4470/14090]	Time 0.896 (0.768)	Data 0.001 (0.002)	Loss 1.6372 (1.7864)	Prec@1 59.375 (53.067)	Prec@5 82.031 (82.250)
Epoch: [84][4480/14090]	Time 0.741 (0.768)	Data 0.001 (0.002)	Loss 1.5362 (1.7865)	Prec@1 58.594 (53.066)	Prec@5 89.062 (82.252)
Epoch: [84][4490/14090]	Time 0.742 (0.768)	Data 0.001 (0.002)	Loss 1.6646 (1.7866)	Prec@1 60.938 (53.064)	Prec@5 85.938 (82.251)
Epoch: [84][4500/14090]	Time 0.771 (0.768)	Data 0.001 (0.002)	Loss 1.7415 (1.7866)	Prec@1 54.688 (53.063)	Prec@5 81.250 (82.249)
Epoch: [84][4510/14090]	Time 0.745 (0.768)	Data 0.001 (0.002)	Loss 1.7899 (1.7865)	Prec@1 53.906 (53.065)	Prec@5 83.594 (82.248)
Epoch: [84][4520/14090]	Time 0.749 (0.768)	Data 0.001 (0.002)	Loss 1.5415 (1.7865)	Prec@1 63.281 (53.066)	Prec@5 83.594 (82.251)
Epoch: [84][4530/14090]	Time 0.745 (0.768)	Data 0.001 (0.002)	Loss 1.7435 (1.7867)	Prec@1 55.469 (53.060)	Prec@5 78.906 (82.245)
Epoch: [84][4540/14090]	Time 0.853 (0.768)	Data 0.001 (0.002)	Loss 2.1205 (1.7869)	Prec@1 49.219 (53.057)	Prec@5 71.875 (82.240)
Epoch: [84][4550/14090]	Time 0.769 (0.768)	Data 0.001 (0.002)	Loss 1.8348 (1.7870)	Prec@1 52.344 (53.052)	Prec@5 82.031 (82.238)
Epoch: [84][4560/14090]	Time 0.731 (0.768)	Data 0.001 (0.002)	Loss 1.6501 (1.7869)	Prec@1 60.938 (53.055)	Prec@5 82.031 (82.240)
Epoch: [84][4570/14090]	Time 0.740 (0.768)	Data 0.001 (0.002)	Loss 1.8607 (1.7869)	Prec@1 49.219 (53.054)	Prec@5 83.594 (82.243)
Epoch: [84][4580/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 1.6383 (1.7868)	Prec@1 52.344 (53.050)	Prec@5 85.156 (82.247)
Epoch: [84][4590/14090]	Time 0.760 (0.768)	Data 0.001 (0.002)	Loss 1.6575 (1.7869)	Prec@1 58.594 (53.051)	Prec@5 86.719 (82.246)
Epoch: [84][4600/14090]	Time 0.721 (0.767)	Data 0.001 (0.002)	Loss 1.7878 (1.7869)	Prec@1 60.156 (53.051)	Prec@5 79.688 (82.246)
Epoch: [84][4610/14090]	Time 0.885 (0.768)	Data 0.004 (0.002)	Loss 1.7175 (1.7868)	Prec@1 57.812 (53.054)	Prec@5 79.688 (82.247)
Epoch: [84][4620/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 1.5615 (1.7868)	Prec@1 56.250 (53.056)	Prec@5 84.375 (82.248)
Epoch: [84][4630/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 1.7909 (1.7869)	Prec@1 54.688 (53.056)	Prec@5 79.688 (82.247)
Epoch: [84][4640/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 1.5547 (1.7869)	Prec@1 57.812 (53.056)	Prec@5 83.594 (82.245)
Epoch: [84][4650/14090]	Time 0.723 (0.767)	Data 0.001 (0.002)	Loss 1.7865 (1.7869)	Prec@1 53.906 (53.056)	Prec@5 82.812 (82.242)
Epoch: [84][4660/14090]	Time 0.764 (0.767)	Data 0.001 (0.002)	Loss 1.4623 (1.7868)	Prec@1 56.250 (53.058)	Prec@5 85.156 (82.244)
Epoch: [84][4670/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 1.6597 (1.7869)	Prec@1 56.250 (53.060)	Prec@5 84.375 (82.244)
Epoch: [84][4680/14090]	Time 0.820 (0.767)	Data 0.001 (0.002)	Loss 1.7267 (1.7870)	Prec@1 56.250 (53.060)	Prec@5 82.031 (82.240)
Epoch: [84][4690/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 1.5607 (1.7869)	Prec@1 60.938 (53.060)	Prec@5 83.594 (82.240)
Epoch: [84][4700/14090]	Time 0.771 (0.767)	Data 0.001 (0.002)	Loss 1.9593 (1.7870)	Prec@1 52.344 (53.058)	Prec@5 81.250 (82.240)
Epoch: [84][4710/14090]	Time 0.724 (0.767)	Data 0.001 (0.002)	Loss 1.6229 (1.7866)	Prec@1 57.812 (53.067)	Prec@5 87.500 (82.248)
Epoch: [84][4720/14090]	Time 0.757 (0.767)	Data 0.001 (0.002)	Loss 1.7409 (1.7868)	Prec@1 56.250 (53.065)	Prec@5 83.594 (82.246)
Epoch: [84][4730/14090]	Time 0.726 (0.767)	Data 0.001 (0.002)	Loss 1.6562 (1.7867)	Prec@1 53.906 (53.064)	Prec@5 82.812 (82.247)
Epoch: [84][4740/14090]	Time 0.726 (0.767)	Data 0.001 (0.002)	Loss 1.8019 (1.7867)	Prec@1 55.469 (53.068)	Prec@5 79.688 (82.247)
Epoch: [84][4750/14090]	Time 0.883 (0.767)	Data 0.001 (0.002)	Loss 1.7765 (1.7867)	Prec@1 53.125 (53.066)	Prec@5 79.688 (82.247)
Epoch: [84][4760/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 1.7218 (1.7869)	Prec@1 53.906 (53.060)	Prec@5 85.156 (82.244)
Epoch: [84][4770/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 1.8681 (1.7870)	Prec@1 50.781 (53.057)	Prec@5 84.375 (82.245)
Epoch: [84][4780/14090]	Time 0.770 (0.767)	Data 0.001 (0.002)	Loss 1.6965 (1.7869)	Prec@1 53.906 (53.059)	Prec@5 79.688 (82.245)
Epoch: [84][4790/14090]	Time 0.765 (0.767)	Data 0.001 (0.002)	Loss 1.7451 (1.7870)	Prec@1 52.344 (53.057)	Prec@5 80.469 (82.242)
Epoch: [84][4800/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 1.7955 (1.7869)	Prec@1 48.438 (53.056)	Prec@5 83.594 (82.245)
Epoch: [84][4810/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 2.0360 (1.7870)	Prec@1 40.625 (53.053)	Prec@5 80.469 (82.241)
Epoch: [84][4820/14090]	Time 0.869 (0.767)	Data 0.001 (0.002)	Loss 1.9995 (1.7870)	Prec@1 48.438 (53.052)	Prec@5 79.688 (82.241)
Epoch: [84][4830/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 1.5406 (1.7870)	Prec@1 61.719 (53.051)	Prec@5 86.719 (82.241)
Epoch: [84][4840/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 2.0806 (1.7871)	Prec@1 50.781 (53.048)	Prec@5 75.781 (82.237)
Epoch: [84][4850/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 1.8563 (1.7870)	Prec@1 53.125 (53.051)	Prec@5 82.031 (82.239)
Epoch: [84][4860/14090]	Time 0.772 (0.767)	Data 0.001 (0.002)	Loss 1.7164 (1.7871)	Prec@1 55.469 (53.049)	Prec@5 85.938 (82.240)
Epoch: [84][4870/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 2.3102 (1.7871)	Prec@1 42.188 (53.049)	Prec@5 70.312 (82.242)
Epoch: [84][4880/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 1.9796 (1.7871)	Prec@1 46.875 (53.046)	Prec@5 80.469 (82.240)
Epoch: [84][4890/14090]	Time 0.876 (0.767)	Data 0.001 (0.002)	Loss 1.7588 (1.7872)	Prec@1 52.344 (53.046)	Prec@5 83.594 (82.241)
Epoch: [84][4900/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 1.6702 (1.7872)	Prec@1 56.250 (53.045)	Prec@5 85.938 (82.240)
Epoch: [84][4910/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 1.8595 (1.7873)	Prec@1 53.125 (53.045)	Prec@5 79.688 (82.238)
Epoch: [84][4920/14090]	Time 0.776 (0.767)	Data 0.001 (0.002)	Loss 1.6275 (1.7874)	Prec@1 52.344 (53.041)	Prec@5 89.062 (82.238)
Epoch: [84][4930/14090]	Time 0.772 (0.767)	Data 0.001 (0.002)	Loss 1.8772 (1.7873)	Prec@1 52.344 (53.041)	Prec@5 79.688 (82.239)
Epoch: [84][4940/14090]	Time 0.724 (0.767)	Data 0.001 (0.002)	Loss 1.7517 (1.7874)	Prec@1 53.906 (53.037)	Prec@5 80.469 (82.235)
Epoch: [84][4950/14090]	Time 0.773 (0.767)	Data 0.001 (0.002)	Loss 2.0876 (1.7874)	Prec@1 49.219 (53.039)	Prec@5 80.469 (82.236)
Epoch: [84][4960/14090]	Time 0.842 (0.767)	Data 0.001 (0.002)	Loss 1.8268 (1.7874)	Prec@1 57.031 (53.040)	Prec@5 81.250 (82.235)
Epoch: [84][4970/14090]	Time 0.774 (0.767)	Data 0.001 (0.002)	Loss 2.0762 (1.7876)	Prec@1 44.531 (53.034)	Prec@5 74.219 (82.229)
Epoch: [84][4980/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 1.7692 (1.7875)	Prec@1 59.375 (53.037)	Prec@5 78.906 (82.231)
Epoch: [84][4990/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 1.7753 (1.7874)	Prec@1 52.344 (53.039)	Prec@5 83.594 (82.234)
Epoch: [84][5000/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 1.6556 (1.7873)	Prec@1 52.344 (53.040)	Prec@5 85.938 (82.235)
Epoch: [84][5010/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 1.3960 (1.7872)	Prec@1 58.594 (53.043)	Prec@5 90.625 (82.238)
Epoch: [84][5020/14090]	Time 0.782 (0.767)	Data 0.001 (0.002)	Loss 1.7076 (1.7873)	Prec@1 45.312 (53.038)	Prec@5 84.375 (82.237)
Epoch: [84][5030/14090]	Time 0.903 (0.767)	Data 0.001 (0.002)	Loss 1.5800 (1.7872)	Prec@1 60.156 (53.044)	Prec@5 87.500 (82.237)
Epoch: [84][5040/14090]	Time 0.764 (0.767)	Data 0.001 (0.002)	Loss 1.8742 (1.7872)	Prec@1 49.219 (53.045)	Prec@5 80.469 (82.235)
Epoch: [84][5050/14090]	Time 0.774 (0.767)	Data 0.004 (0.002)	Loss 1.8309 (1.7871)	Prec@1 52.344 (53.046)	Prec@5 80.469 (82.237)
Epoch: [84][5060/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 1.5916 (1.7870)	Prec@1 57.812 (53.046)	Prec@5 86.719 (82.239)
Epoch: [84][5070/14090]	Time 0.728 (0.767)	Data 0.001 (0.002)	Loss 1.8817 (1.7873)	Prec@1 49.219 (53.042)	Prec@5 80.469 (82.238)
Epoch: [84][5080/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 1.9501 (1.7873)	Prec@1 51.562 (53.040)	Prec@5 80.469 (82.239)
Epoch: [84][5090/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 1.7688 (1.7873)	Prec@1 53.906 (53.038)	Prec@5 82.812 (82.241)
Epoch: [84][5100/14090]	Time 0.863 (0.767)	Data 0.001 (0.002)	Loss 1.8166 (1.7875)	Prec@1 49.219 (53.034)	Prec@5 85.938 (82.240)
Epoch: [84][5110/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 1.8097 (1.7875)	Prec@1 50.781 (53.033)	Prec@5 83.594 (82.239)
Epoch: [84][5120/14090]	Time 0.728 (0.767)	Data 0.001 (0.002)	Loss 1.7798 (1.7876)	Prec@1 56.250 (53.032)	Prec@5 86.719 (82.237)
Epoch: [84][5130/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 1.8006 (1.7875)	Prec@1 55.469 (53.034)	Prec@5 85.938 (82.238)
Epoch: [84][5140/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 1.9584 (1.7874)	Prec@1 52.344 (53.033)	Prec@5 74.219 (82.238)
Epoch: [84][5150/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.0724 (1.7875)	Prec@1 46.094 (53.034)	Prec@5 76.562 (82.236)
Epoch: [84][5160/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 1.9343 (1.7875)	Prec@1 50.781 (53.034)	Prec@5 81.250 (82.234)
Epoch: [84][5170/14090]	Time 0.862 (0.767)	Data 0.001 (0.002)	Loss 2.0767 (1.7875)	Prec@1 45.312 (53.034)	Prec@5 78.125 (82.235)
Epoch: [84][5180/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 1.8203 (1.7873)	Prec@1 50.781 (53.037)	Prec@5 84.375 (82.239)
Epoch: [84][5190/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 1.8797 (1.7872)	Prec@1 46.875 (53.038)	Prec@5 81.250 (82.239)
Epoch: [84][5200/14090]	Time 0.776 (0.767)	Data 0.001 (0.002)	Loss 1.5276 (1.7872)	Prec@1 59.375 (53.038)	Prec@5 88.281 (82.241)
Epoch: [84][5210/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 1.7282 (1.7872)	Prec@1 50.781 (53.036)	Prec@5 86.719 (82.240)
Epoch: [84][5220/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 1.8992 (1.7873)	Prec@1 45.312 (53.033)	Prec@5 81.250 (82.238)
Epoch: [84][5230/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 1.7405 (1.7873)	Prec@1 52.344 (53.038)	Prec@5 83.594 (82.238)
Epoch: [84][5240/14090]	Time 0.878 (0.767)	Data 0.001 (0.002)	Loss 1.9083 (1.7873)	Prec@1 46.875 (53.039)	Prec@5 83.594 (82.239)
Epoch: [84][5250/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 1.6558 (1.7872)	Prec@1 50.781 (53.040)	Prec@5 89.062 (82.241)
Epoch: [84][5260/14090]	Time 0.727 (0.767)	Data 0.001 (0.002)	Loss 1.9132 (1.7873)	Prec@1 49.219 (53.037)	Prec@5 79.688 (82.241)
Epoch: [84][5270/14090]	Time 0.779 (0.767)	Data 0.001 (0.002)	Loss 1.9626 (1.7871)	Prec@1 48.438 (53.042)	Prec@5 80.469 (82.245)
Epoch: [84][5280/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 1.9878 (1.7872)	Prec@1 50.781 (53.039)	Prec@5 80.469 (82.245)
Epoch: [84][5290/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 1.4629 (1.7872)	Prec@1 60.938 (53.038)	Prec@5 87.500 (82.246)
Epoch: [84][5300/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 1.7833 (1.7871)	Prec@1 55.469 (53.039)	Prec@5 82.031 (82.246)
Epoch: [84][5310/14090]	Time 0.880 (0.767)	Data 0.001 (0.002)	Loss 1.4836 (1.7870)	Prec@1 57.812 (53.040)	Prec@5 87.500 (82.248)
Epoch: [84][5320/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 1.9039 (1.7869)	Prec@1 51.562 (53.039)	Prec@5 78.125 (82.249)
Epoch: [84][5330/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 1.6545 (1.7868)	Prec@1 57.031 (53.043)	Prec@5 84.375 (82.250)
Epoch: [84][5340/14090]	Time 0.777 (0.767)	Data 0.001 (0.002)	Loss 1.8775 (1.7868)	Prec@1 51.562 (53.040)	Prec@5 78.125 (82.252)
Epoch: [84][5350/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 1.6101 (1.7868)	Prec@1 57.812 (53.040)	Prec@5 85.938 (82.253)
Epoch: [84][5360/14090]	Time 0.762 (0.767)	Data 0.001 (0.002)	Loss 1.9732 (1.7868)	Prec@1 50.781 (53.040)	Prec@5 76.562 (82.253)
Epoch: [84][5370/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 1.3831 (1.7868)	Prec@1 62.500 (53.042)	Prec@5 89.062 (82.252)
Epoch: [84][5380/14090]	Time 0.881 (0.767)	Data 0.001 (0.002)	Loss 2.1603 (1.7870)	Prec@1 41.406 (53.036)	Prec@5 74.219 (82.249)
Epoch: [84][5390/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 1.8939 (1.7869)	Prec@1 49.219 (53.039)	Prec@5 82.812 (82.251)
Epoch: [84][5400/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 1.8512 (1.7869)	Prec@1 55.469 (53.040)	Prec@5 78.906 (82.250)
Epoch: [84][5410/14090]	Time 0.724 (0.767)	Data 0.001 (0.002)	Loss 1.6495 (1.7869)	Prec@1 53.125 (53.041)	Prec@5 82.031 (82.251)
Epoch: [84][5420/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 1.7824 (1.7868)	Prec@1 51.562 (53.042)	Prec@5 83.594 (82.251)
Epoch: [84][5430/14090]	Time 0.731 (0.767)	Data 0.001 (0.002)	Loss 1.8441 (1.7868)	Prec@1 50.000 (53.040)	Prec@5 83.594 (82.251)
Epoch: [84][5440/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 1.7252 (1.7868)	Prec@1 54.688 (53.040)	Prec@5 80.469 (82.250)
Epoch: [84][5450/14090]	Time 0.863 (0.767)	Data 0.001 (0.002)	Loss 1.5942 (1.7868)	Prec@1 55.469 (53.043)	Prec@5 86.719 (82.253)
Epoch: [84][5460/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 1.8504 (1.7868)	Prec@1 55.469 (53.042)	Prec@5 82.812 (82.252)
Epoch: [84][5470/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 1.8141 (1.7868)	Prec@1 50.781 (53.039)	Prec@5 82.812 (82.252)
Epoch: [84][5480/14090]	Time 0.777 (0.767)	Data 0.001 (0.002)	Loss 1.5480 (1.7868)	Prec@1 59.375 (53.044)	Prec@5 85.938 (82.252)
Epoch: [84][5490/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 1.5010 (1.7868)	Prec@1 57.031 (53.042)	Prec@5 88.281 (82.253)
Epoch: [84][5500/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 2.2276 (1.7868)	Prec@1 48.438 (53.042)	Prec@5 75.000 (82.254)
Epoch: [84][5510/14090]	Time 0.777 (0.767)	Data 0.001 (0.002)	Loss 1.8935 (1.7869)	Prec@1 50.781 (53.042)	Prec@5 76.562 (82.252)
Epoch: [84][5520/14090]	Time 0.878 (0.767)	Data 0.001 (0.002)	Loss 1.9703 (1.7869)	Prec@1 45.312 (53.039)	Prec@5 76.562 (82.251)
Epoch: [84][5530/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 2.1232 (1.7869)	Prec@1 49.219 (53.041)	Prec@5 75.781 (82.251)
Epoch: [84][5540/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 1.7064 (1.7868)	Prec@1 51.562 (53.043)	Prec@5 87.500 (82.255)
Epoch: [84][5550/14090]	Time 0.781 (0.767)	Data 0.001 (0.002)	Loss 1.8961 (1.7868)	Prec@1 51.562 (53.041)	Prec@5 77.344 (82.254)
Epoch: [84][5560/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 1.5502 (1.7867)	Prec@1 59.375 (53.044)	Prec@5 85.938 (82.255)
Epoch: [84][5570/14090]	Time 0.760 (0.767)	Data 0.001 (0.002)	Loss 1.7015 (1.7868)	Prec@1 59.375 (53.041)	Prec@5 83.594 (82.252)
Epoch: [84][5580/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 1.6876 (1.7868)	Prec@1 57.812 (53.042)	Prec@5 84.375 (82.254)
Epoch: [84][5590/14090]	Time 0.878 (0.767)	Data 0.001 (0.002)	Loss 1.6989 (1.7867)	Prec@1 60.156 (53.045)	Prec@5 85.938 (82.256)
Epoch: [84][5600/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 1.8034 (1.7868)	Prec@1 55.469 (53.042)	Prec@5 79.688 (82.254)
Epoch: [84][5610/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 1.9035 (1.7869)	Prec@1 52.344 (53.039)	Prec@5 77.344 (82.252)
Epoch: [84][5620/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 1.7777 (1.7871)	Prec@1 52.344 (53.036)	Prec@5 80.469 (82.251)
Epoch: [84][5630/14090]	Time 0.727 (0.767)	Data 0.001 (0.002)	Loss 1.8753 (1.7871)	Prec@1 50.781 (53.032)	Prec@5 82.031 (82.251)
Epoch: [84][5640/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 1.8019 (1.7872)	Prec@1 50.781 (53.031)	Prec@5 84.375 (82.252)
Epoch: [84][5650/14090]	Time 0.765 (0.767)	Data 0.001 (0.002)	Loss 1.8864 (1.7872)	Prec@1 55.469 (53.032)	Prec@5 79.688 (82.253)
Epoch: [84][5660/14090]	Time 0.865 (0.767)	Data 0.001 (0.002)	Loss 1.8735 (1.7871)	Prec@1 50.000 (53.033)	Prec@5 81.250 (82.255)
Epoch: [84][5670/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 1.9297 (1.7871)	Prec@1 47.656 (53.028)	Prec@5 80.469 (82.253)
Epoch: [84][5680/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 1.6127 (1.7871)	Prec@1 55.469 (53.028)	Prec@5 86.719 (82.254)
Epoch: [84][5690/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 1.7277 (1.7871)	Prec@1 55.469 (53.026)	Prec@5 82.812 (82.257)
Epoch: [84][5700/14090]	Time 0.727 (0.767)	Data 0.001 (0.002)	Loss 1.4978 (1.7872)	Prec@1 65.625 (53.027)	Prec@5 84.375 (82.255)
Epoch: [84][5710/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 1.5848 (1.7873)	Prec@1 56.250 (53.026)	Prec@5 84.375 (82.255)
Epoch: [84][5720/14090]	Time 0.770 (0.767)	Data 0.001 (0.002)	Loss 1.8227 (1.7873)	Prec@1 51.562 (53.028)	Prec@5 81.250 (82.252)
Epoch: [84][5730/14090]	Time 0.817 (0.767)	Data 0.001 (0.002)	Loss 1.8488 (1.7874)	Prec@1 50.781 (53.026)	Prec@5 80.469 (82.251)
Epoch: [84][5740/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 1.9169 (1.7874)	Prec@1 47.656 (53.028)	Prec@5 83.594 (82.251)
Epoch: [84][5750/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 1.8793 (1.7873)	Prec@1 47.656 (53.029)	Prec@5 85.938 (82.255)
Epoch: [84][5760/14090]	Time 0.783 (0.767)	Data 0.001 (0.002)	Loss 1.8058 (1.7873)	Prec@1 48.438 (53.027)	Prec@5 83.594 (82.255)
Epoch: [84][5770/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 1.7665 (1.7873)	Prec@1 55.469 (53.032)	Prec@5 83.594 (82.257)
Epoch: [84][5780/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 1.6651 (1.7873)	Prec@1 54.688 (53.032)	Prec@5 84.375 (82.256)
Epoch: [84][5790/14090]	Time 0.724 (0.767)	Data 0.001 (0.002)	Loss 1.7826 (1.7873)	Prec@1 57.031 (53.029)	Prec@5 83.594 (82.256)
Epoch: [84][5800/14090]	Time 0.841 (0.767)	Data 0.001 (0.002)	Loss 1.5582 (1.7875)	Prec@1 60.938 (53.025)	Prec@5 84.375 (82.254)
Epoch: [84][5810/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 1.8403 (1.7876)	Prec@1 53.906 (53.022)	Prec@5 81.250 (82.252)
Epoch: [84][5820/14090]	Time 0.760 (0.767)	Data 0.001 (0.002)	Loss 1.9031 (1.7876)	Prec@1 55.469 (53.019)	Prec@5 78.906 (82.252)
Epoch: [84][5830/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 1.9725 (1.7876)	Prec@1 50.000 (53.018)	Prec@5 78.125 (82.252)
Epoch: [84][5840/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 1.7623 (1.7875)	Prec@1 53.125 (53.019)	Prec@5 82.812 (82.255)
Epoch: [84][5850/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 1.8461 (1.7875)	Prec@1 50.781 (53.017)	Prec@5 83.594 (82.257)
Epoch: [84][5860/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 1.9131 (1.7874)	Prec@1 48.438 (53.017)	Prec@5 80.469 (82.260)
Epoch: [84][5870/14090]	Time 0.860 (0.767)	Data 0.001 (0.002)	Loss 1.7202 (1.7872)	Prec@1 58.594 (53.023)	Prec@5 82.031 (82.260)
Epoch: [84][5880/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 1.7598 (1.7873)	Prec@1 55.469 (53.020)	Prec@5 87.500 (82.260)
Epoch: [84][5890/14090]	Time 0.762 (0.767)	Data 0.001 (0.002)	Loss 1.7313 (1.7874)	Prec@1 53.125 (53.019)	Prec@5 83.594 (82.258)
Epoch: [84][5900/14090]	Time 0.722 (0.767)	Data 0.001 (0.002)	Loss 1.9129 (1.7877)	Prec@1 49.219 (53.013)	Prec@5 81.250 (82.255)
Epoch: [84][5910/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 1.7367 (1.7876)	Prec@1 53.125 (53.015)	Prec@5 82.031 (82.256)
Epoch: [84][5920/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 1.8695 (1.7875)	Prec@1 56.250 (53.017)	Prec@5 76.562 (82.257)
Epoch: [84][5930/14090]	Time 0.775 (0.767)	Data 0.001 (0.002)	Loss 1.9356 (1.7875)	Prec@1 50.781 (53.016)	Prec@5 80.469 (82.259)
Epoch: [84][5940/14090]	Time 0.861 (0.767)	Data 0.001 (0.002)	Loss 1.7393 (1.7875)	Prec@1 52.344 (53.015)	Prec@5 82.812 (82.258)
Epoch: [84][5950/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 1.6088 (1.7875)	Prec@1 55.469 (53.013)	Prec@5 82.812 (82.259)
Epoch: [84][5960/14090]	Time 0.724 (0.767)	Data 0.001 (0.002)	Loss 1.8647 (1.7874)	Prec@1 49.219 (53.015)	Prec@5 75.000 (82.260)
Epoch: [84][5970/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 1.8630 (1.7875)	Prec@1 50.781 (53.015)	Prec@5 80.469 (82.257)
Epoch: [84][5980/14090]	Time 0.776 (0.767)	Data 0.001 (0.002)	Loss 2.0488 (1.7874)	Prec@1 41.406 (53.014)	Prec@5 76.562 (82.259)
Epoch: [84][5990/14090]	Time 0.767 (0.767)	Data 0.001 (0.002)	Loss 1.6879 (1.7875)	Prec@1 50.000 (53.013)	Prec@5 86.719 (82.257)
Epoch: [84][6000/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 1.8473 (1.7875)	Prec@1 47.656 (53.010)	Prec@5 82.031 (82.257)
Epoch: [84][6010/14090]	Time 0.849 (0.767)	Data 0.001 (0.002)	Loss 1.6082 (1.7875)	Prec@1 56.250 (53.008)	Prec@5 86.719 (82.260)
Epoch: [84][6020/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 1.7674 (1.7875)	Prec@1 53.125 (53.006)	Prec@5 80.469 (82.262)
Epoch: [84][6030/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 1.8288 (1.7876)	Prec@1 47.656 (52.999)	Prec@5 83.594 (82.259)
Epoch: [84][6040/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 1.7589 (1.7877)	Prec@1 52.344 (52.995)	Prec@5 82.031 (82.255)
Epoch: [84][6050/14090]	Time 0.730 (0.767)	Data 0.001 (0.002)	Loss 1.7914 (1.7877)	Prec@1 58.594 (52.993)	Prec@5 81.250 (82.254)
Epoch: [84][6060/14090]	Time 0.766 (0.767)	Data 0.001 (0.002)	Loss 2.0465 (1.7877)	Prec@1 45.312 (52.992)	Prec@5 81.250 (82.255)
Epoch: [84][6070/14090]	Time 0.782 (0.767)	Data 0.001 (0.002)	Loss 1.9738 (1.7878)	Prec@1 46.875 (52.993)	Prec@5 78.125 (82.255)
Epoch: [84][6080/14090]	Time 0.836 (0.767)	Data 0.001 (0.002)	Loss 1.8628 (1.7878)	Prec@1 51.562 (52.993)	Prec@5 80.469 (82.252)
Epoch: [84][6090/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 1.7697 (1.7878)	Prec@1 51.562 (52.994)	Prec@5 78.906 (82.253)
Epoch: [84][6100/14090]	Time 0.783 (0.767)	Data 0.001 (0.002)	Loss 1.5405 (1.7879)	Prec@1 58.594 (52.991)	Prec@5 84.375 (82.249)
Epoch: [84][6110/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 1.7229 (1.7879)	Prec@1 54.688 (52.994)	Prec@5 82.031 (82.250)
Epoch: [84][6120/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 1.9622 (1.7880)	Prec@1 57.031 (52.997)	Prec@5 79.688 (82.245)
Epoch: [84][6130/14090]	Time 0.763 (0.767)	Data 0.001 (0.002)	Loss 1.7067 (1.7880)	Prec@1 54.688 (52.996)	Prec@5 84.375 (82.244)
Epoch: [84][6140/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 1.6806 (1.7880)	Prec@1 52.344 (52.996)	Prec@5 83.594 (82.246)
Epoch: [84][6150/14090]	Time 0.842 (0.767)	Data 0.001 (0.002)	Loss 1.6982 (1.7880)	Prec@1 51.562 (52.995)	Prec@5 81.250 (82.245)
Epoch: [84][6160/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 1.8163 (1.7881)	Prec@1 54.688 (52.991)	Prec@5 79.688 (82.243)
Epoch: [84][6170/14090]	Time 0.760 (0.767)	Data 0.001 (0.002)	Loss 1.8237 (1.7882)	Prec@1 53.125 (52.990)	Prec@5 78.125 (82.243)
Epoch: [84][6180/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 2.1102 (1.7883)	Prec@1 49.219 (52.987)	Prec@5 76.562 (82.241)
Epoch: [84][6190/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 1.4855 (1.7882)	Prec@1 59.375 (52.987)	Prec@5 83.594 (82.242)
Epoch: [84][6200/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 1.9432 (1.7882)	Prec@1 45.312 (52.984)	Prec@5 83.594 (82.242)
Epoch: [84][6210/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 2.1007 (1.7882)	Prec@1 50.781 (52.983)	Prec@5 80.469 (82.242)
Epoch: [84][6220/14090]	Time 0.857 (0.767)	Data 0.001 (0.002)	Loss 1.7381 (1.7882)	Prec@1 51.562 (52.979)	Prec@5 79.688 (82.243)
Epoch: [84][6230/14090]	Time 0.772 (0.767)	Data 0.001 (0.002)	Loss 2.0489 (1.7882)	Prec@1 46.094 (52.980)	Prec@5 78.125 (82.242)
Epoch: [84][6240/14090]	Time 0.755 (0.767)	Data 0.001 (0.002)	Loss 1.7779 (1.7883)	Prec@1 53.906 (52.981)	Prec@5 79.688 (82.240)
Epoch: [84][6250/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 2.3269 (1.7885)	Prec@1 50.000 (52.975)	Prec@5 75.000 (82.235)
Epoch: [84][6260/14090]	Time 0.761 (0.767)	Data 0.001 (0.002)	Loss 2.0944 (1.7886)	Prec@1 44.531 (52.973)	Prec@5 77.344 (82.234)
Epoch: [84][6270/14090]	Time 0.726 (0.767)	Data 0.001 (0.002)	Loss 1.8344 (1.7887)	Prec@1 50.000 (52.971)	Prec@5 85.156 (82.232)
Epoch: [84][6280/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 1.6164 (1.7887)	Prec@1 55.469 (52.970)	Prec@5 83.594 (82.232)
Epoch: [84][6290/14090]	Time 0.870 (0.767)	Data 0.001 (0.002)	Loss 1.9144 (1.7887)	Prec@1 46.875 (52.971)	Prec@5 81.250 (82.232)
Epoch: [84][6300/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 1.7220 (1.7887)	Prec@1 50.000 (52.971)	Prec@5 85.938 (82.233)
Epoch: [84][6310/14090]	Time 0.772 (0.767)	Data 0.001 (0.002)	Loss 1.8165 (1.7887)	Prec@1 52.344 (52.974)	Prec@5 79.688 (82.232)
Epoch: [84][6320/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 1.7362 (1.7887)	Prec@1 58.594 (52.973)	Prec@5 83.594 (82.232)
Epoch: [84][6330/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 1.6854 (1.7887)	Prec@1 48.438 (52.971)	Prec@5 83.594 (82.230)
Epoch: [84][6340/14090]	Time 0.757 (0.767)	Data 0.001 (0.002)	Loss 1.8810 (1.7888)	Prec@1 54.688 (52.974)	Prec@5 78.906 (82.230)
Epoch: [84][6350/14090]	Time 0.772 (0.767)	Data 0.001 (0.002)	Loss 1.9765 (1.7888)	Prec@1 40.625 (52.971)	Prec@5 81.250 (82.228)
Epoch: [84][6360/14090]	Time 0.852 (0.767)	Data 0.001 (0.002)	Loss 1.8166 (1.7888)	Prec@1 51.562 (52.974)	Prec@5 85.156 (82.230)
Epoch: [84][6370/14090]	Time 0.760 (0.767)	Data 0.001 (0.002)	Loss 1.9860 (1.7888)	Prec@1 43.750 (52.972)	Prec@5 78.906 (82.229)
Epoch: [84][6380/14090]	Time 0.767 (0.767)	Data 0.001 (0.002)	Loss 1.6955 (1.7889)	Prec@1 55.469 (52.970)	Prec@5 83.594 (82.228)
Epoch: [84][6390/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 1.9391 (1.7889)	Prec@1 48.438 (52.974)	Prec@5 78.125 (82.228)
Epoch: [84][6400/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 1.6525 (1.7889)	Prec@1 54.688 (52.974)	Prec@5 89.062 (82.229)
Epoch: [84][6410/14090]	Time 0.724 (0.767)	Data 0.001 (0.002)	Loss 1.7602 (1.7888)	Prec@1 48.438 (52.972)	Prec@5 83.594 (82.227)
Epoch: [84][6420/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 2.0652 (1.7889)	Prec@1 45.312 (52.969)	Prec@5 76.562 (82.224)
Epoch: [84][6430/14090]	Time 0.909 (0.767)	Data 0.001 (0.002)	Loss 1.6109 (1.7890)	Prec@1 62.500 (52.968)	Prec@5 80.469 (82.221)
Epoch: [84][6440/14090]	Time 0.731 (0.767)	Data 0.001 (0.002)	Loss 1.7431 (1.7889)	Prec@1 50.781 (52.967)	Prec@5 81.250 (82.222)
Epoch: [84][6450/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 1.6260 (1.7889)	Prec@1 61.719 (52.966)	Prec@5 82.812 (82.222)
Epoch: [84][6460/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 1.8299 (1.7890)	Prec@1 51.562 (52.965)	Prec@5 81.250 (82.219)
Epoch: [84][6470/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 1.7124 (1.7890)	Prec@1 51.562 (52.964)	Prec@5 83.594 (82.220)
Epoch: [84][6480/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 1.5358 (1.7888)	Prec@1 52.344 (52.967)	Prec@5 85.938 (82.222)
Epoch: [84][6490/14090]	Time 0.781 (0.767)	Data 0.001 (0.002)	Loss 1.6169 (1.7887)	Prec@1 57.812 (52.969)	Prec@5 89.062 (82.225)
Epoch: [84][6500/14090]	Time 0.905 (0.767)	Data 0.001 (0.002)	Loss 1.6576 (1.7885)	Prec@1 47.656 (52.972)	Prec@5 85.938 (82.227)
Epoch: [84][6510/14090]	Time 0.760 (0.767)	Data 0.001 (0.002)	Loss 1.5397 (1.7885)	Prec@1 60.938 (52.975)	Prec@5 88.281 (82.228)
Epoch: [84][6520/14090]	Time 0.744 (0.767)	Data 0.001 (0.002)	Loss 1.7701 (1.7886)	Prec@1 57.031 (52.975)	Prec@5 82.812 (82.226)
Epoch: [84][6530/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 1.8586 (1.7885)	Prec@1 51.562 (52.978)	Prec@5 83.594 (82.228)
Epoch: [84][6540/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 1.7449 (1.7886)	Prec@1 54.688 (52.977)	Prec@5 83.594 (82.227)
Epoch: [84][6550/14090]	Time 0.761 (0.767)	Data 0.001 (0.002)	Loss 1.8372 (1.7886)	Prec@1 55.469 (52.976)	Prec@5 81.250 (82.225)
Epoch: [84][6560/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 1.9725 (1.7888)	Prec@1 46.875 (52.974)	Prec@5 79.688 (82.222)
Epoch: [84][6570/14090]	Time 0.865 (0.767)	Data 0.001 (0.002)	Loss 1.6817 (1.7887)	Prec@1 63.281 (52.978)	Prec@5 84.375 (82.224)
Epoch: [84][6580/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 1.9145 (1.7886)	Prec@1 49.219 (52.981)	Prec@5 77.344 (82.224)
Epoch: [84][6590/14090]	Time 0.766 (0.767)	Data 0.001 (0.002)	Loss 1.7602 (1.7886)	Prec@1 54.688 (52.983)	Prec@5 79.688 (82.222)
Epoch: [84][6600/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 1.7670 (1.7887)	Prec@1 53.906 (52.981)	Prec@5 79.688 (82.220)
Epoch: [84][6610/14090]	Time 0.763 (0.767)	Data 0.001 (0.002)	Loss 1.7384 (1.7888)	Prec@1 54.688 (52.977)	Prec@5 84.375 (82.218)
Epoch: [84][6620/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 1.8340 (1.7888)	Prec@1 53.125 (52.976)	Prec@5 82.812 (82.219)
Epoch: [84][6630/14090]	Time 0.749 (0.767)	Data 0.001 (0.002)	Loss 1.8550 (1.7887)	Prec@1 53.906 (52.978)	Prec@5 78.125 (82.219)
Epoch: [84][6640/14090]	Time 0.878 (0.767)	Data 0.001 (0.002)	Loss 1.7541 (1.7887)	Prec@1 51.562 (52.978)	Prec@5 81.250 (82.220)
Epoch: [84][6650/14090]	Time 0.739 (0.767)	Data 0.001 (0.002)	Loss 1.5452 (1.7886)	Prec@1 65.625 (52.978)	Prec@5 85.938 (82.219)
Epoch: [84][6660/14090]	Time 0.790 (0.767)	Data 0.001 (0.002)	Loss 1.7456 (1.7886)	Prec@1 57.812 (52.977)	Prec@5 82.812 (82.220)
Epoch: [84][6670/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 1.5236 (1.7886)	Prec@1 60.938 (52.977)	Prec@5 87.500 (82.223)
Epoch: [84][6680/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 1.6868 (1.7886)	Prec@1 57.812 (52.979)	Prec@5 82.812 (82.222)
Epoch: [84][6690/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 1.8360 (1.7885)	Prec@1 47.656 (52.980)	Prec@5 81.250 (82.224)
Epoch: [84][6700/14090]	Time 0.770 (0.767)	Data 0.001 (0.002)	Loss 1.9733 (1.7885)	Prec@1 46.094 (52.981)	Prec@5 76.562 (82.225)
Epoch: [84][6710/14090]	Time 0.867 (0.767)	Data 0.001 (0.002)	Loss 1.8843 (1.7886)	Prec@1 52.344 (52.981)	Prec@5 81.250 (82.223)
Epoch: [84][6720/14090]	Time 0.762 (0.767)	Data 0.001 (0.002)	Loss 1.7066 (1.7886)	Prec@1 57.812 (52.983)	Prec@5 82.812 (82.223)
Epoch: [84][6730/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 1.6936 (1.7886)	Prec@1 51.562 (52.980)	Prec@5 80.469 (82.223)
Epoch: [84][6740/14090]	Time 0.758 (0.767)	Data 0.001 (0.002)	Loss 1.9864 (1.7887)	Prec@1 49.219 (52.979)	Prec@5 77.344 (82.221)
Epoch: [84][6750/14090]	Time 0.760 (0.767)	Data 0.001 (0.002)	Loss 2.2161 (1.7886)	Prec@1 43.750 (52.978)	Prec@5 78.906 (82.223)
Epoch: [84][6760/14090]	Time 0.776 (0.767)	Data 0.001 (0.002)	Loss 1.7519 (1.7886)	Prec@1 53.125 (52.979)	Prec@5 80.469 (82.225)
Epoch: [84][6770/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 2.0312 (1.7886)	Prec@1 46.875 (52.980)	Prec@5 78.906 (82.225)
Epoch: [84][6780/14090]	Time 0.861 (0.767)	Data 0.001 (0.002)	Loss 1.7747 (1.7886)	Prec@1 53.906 (52.978)	Prec@5 80.469 (82.224)
Epoch: [84][6790/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 1.6345 (1.7886)	Prec@1 58.594 (52.977)	Prec@5 83.594 (82.224)
Epoch: [84][6800/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 1.6766 (1.7887)	Prec@1 53.906 (52.977)	Prec@5 86.719 (82.223)
Epoch: [84][6810/14090]	Time 0.757 (0.767)	Data 0.001 (0.002)	Loss 1.8366 (1.7887)	Prec@1 50.781 (52.977)	Prec@5 82.812 (82.223)
Epoch: [84][6820/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 1.6072 (1.7887)	Prec@1 58.594 (52.975)	Prec@5 85.938 (82.221)
Epoch: [84][6830/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 1.8352 (1.7886)	Prec@1 48.438 (52.977)	Prec@5 82.031 (82.223)
Epoch: [84][6840/14090]	Time 0.757 (0.767)	Data 0.001 (0.002)	Loss 1.9915 (1.7887)	Prec@1 45.312 (52.976)	Prec@5 77.344 (82.222)
Epoch: [84][6850/14090]	Time 0.843 (0.767)	Data 0.001 (0.002)	Loss 1.7527 (1.7887)	Prec@1 50.781 (52.976)	Prec@5 82.031 (82.221)
Epoch: [84][6860/14090]	Time 0.760 (0.767)	Data 0.001 (0.002)	Loss 1.6177 (1.7886)	Prec@1 54.688 (52.979)	Prec@5 82.031 (82.222)
Epoch: [84][6870/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 1.8213 (1.7885)	Prec@1 48.438 (52.980)	Prec@5 83.594 (82.225)
Epoch: [84][6880/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 1.8095 (1.7886)	Prec@1 50.000 (52.980)	Prec@5 81.250 (82.223)
Epoch: [84][6890/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 1.7991 (1.7887)	Prec@1 49.219 (52.976)	Prec@5 82.031 (82.222)
Epoch: [84][6900/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 1.8175 (1.7888)	Prec@1 53.125 (52.973)	Prec@5 78.125 (82.222)
Epoch: [84][6910/14090]	Time 0.761 (0.767)	Data 0.001 (0.002)	Loss 1.8279 (1.7888)	Prec@1 50.781 (52.971)	Prec@5 86.719 (82.221)
Epoch: [84][6920/14090]	Time 0.853 (0.767)	Data 0.001 (0.002)	Loss 1.7521 (1.7887)	Prec@1 54.688 (52.973)	Prec@5 80.469 (82.222)
Epoch: [84][6930/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 2.0392 (1.7888)	Prec@1 46.094 (52.969)	Prec@5 78.906 (82.220)
Epoch: [84][6940/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 1.6757 (1.7886)	Prec@1 57.031 (52.976)	Prec@5 84.375 (82.223)
Epoch: [84][6950/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 1.5736 (1.7886)	Prec@1 57.031 (52.977)	Prec@5 86.719 (82.222)
Epoch: [84][6960/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 1.9487 (1.7887)	Prec@1 48.438 (52.977)	Prec@5 81.250 (82.222)
Epoch: [84][6970/14090]	Time 0.762 (0.767)	Data 0.001 (0.002)	Loss 1.6092 (1.7887)	Prec@1 49.219 (52.974)	Prec@5 87.500 (82.222)
Epoch: [84][6980/14090]	Time 0.740 (0.767)	Data 0.001 (0.002)	Loss 2.0329 (1.7886)	Prec@1 46.094 (52.976)	Prec@5 81.250 (82.223)
Epoch: [84][6990/14090]	Time 0.890 (0.767)	Data 0.001 (0.002)	Loss 1.7958 (1.7886)	Prec@1 52.344 (52.977)	Prec@5 83.594 (82.224)
Epoch: [84][7000/14090]	Time 0.724 (0.767)	Data 0.001 (0.002)	Loss 1.7621 (1.7886)	Prec@1 52.344 (52.978)	Prec@5 79.688 (82.222)
Epoch: [84][7010/14090]	Time 0.768 (0.767)	Data 0.001 (0.002)	Loss 1.6093 (1.7885)	Prec@1 52.344 (52.981)	Prec@5 86.719 (82.224)
Epoch: [84][7020/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 1.9303 (1.7885)	Prec@1 48.438 (52.980)	Prec@5 78.906 (82.225)
Epoch: [84][7030/14090]	Time 0.742 (0.767)	Data 0.001 (0.002)	Loss 1.6151 (1.7884)	Prec@1 51.562 (52.981)	Prec@5 83.594 (82.225)
Epoch: [84][7040/14090]	Time 0.757 (0.767)	Data 0.001 (0.002)	Loss 1.8085 (1.7884)	Prec@1 57.031 (52.983)	Prec@5 85.156 (82.226)
Epoch: [84][7050/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 1.6634 (1.7883)	Prec@1 56.250 (52.985)	Prec@5 85.938 (82.228)
Epoch: [84][7060/14090]	Time 0.849 (0.767)	Data 0.001 (0.002)	Loss 1.9227 (1.7883)	Prec@1 52.344 (52.984)	Prec@5 78.906 (82.227)
Epoch: [84][7070/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 1.9929 (1.7883)	Prec@1 48.438 (52.983)	Prec@5 80.469 (82.225)
Epoch: [84][7080/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 1.6358 (1.7885)	Prec@1 56.250 (52.981)	Prec@5 83.594 (82.223)
Epoch: [84][7090/14090]	Time 0.741 (0.767)	Data 0.001 (0.002)	Loss 1.5522 (1.7885)	Prec@1 57.031 (52.979)	Prec@5 85.156 (82.220)
Epoch: [84][7100/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 1.7878 (1.7885)	Prec@1 50.000 (52.979)	Prec@5 82.812 (82.220)
Epoch: [84][7110/14090]	Time 0.724 (0.767)	Data 0.001 (0.002)	Loss 1.5120 (1.7885)	Prec@1 61.719 (52.979)	Prec@5 91.406 (82.221)
Epoch: [84][7120/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 1.8939 (1.7885)	Prec@1 48.438 (52.978)	Prec@5 80.469 (82.219)
Epoch: [84][7130/14090]	Time 0.855 (0.767)	Data 0.001 (0.002)	Loss 1.7591 (1.7885)	Prec@1 51.562 (52.977)	Prec@5 81.250 (82.219)
Epoch: [84][7140/14090]	Time 0.735 (0.767)	Data 0.001 (0.002)	Loss 1.7137 (1.7885)	Prec@1 54.688 (52.977)	Prec@5 85.938 (82.219)
Epoch: [84][7150/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 1.7956 (1.7885)	Prec@1 58.594 (52.977)	Prec@5 82.031 (82.217)
Epoch: [84][7160/14090]	Time 0.764 (0.767)	Data 0.001 (0.002)	Loss 2.1068 (1.7885)	Prec@1 45.312 (52.977)	Prec@5 80.469 (82.216)
Epoch: [84][7170/14090]	Time 0.784 (0.767)	Data 0.001 (0.002)	Loss 1.7164 (1.7886)	Prec@1 58.594 (52.975)	Prec@5 80.469 (82.215)
Epoch: [84][7180/14090]	Time 0.763 (0.767)	Data 0.001 (0.002)	Loss 1.7727 (1.7887)	Prec@1 54.688 (52.974)	Prec@5 82.031 (82.213)
Epoch: [84][7190/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 1.4674 (1.7887)	Prec@1 63.281 (52.975)	Prec@5 88.281 (82.213)
Epoch: [84][7200/14090]	Time 0.918 (0.767)	Data 0.001 (0.002)	Loss 1.8257 (1.7887)	Prec@1 50.000 (52.976)	Prec@5 78.906 (82.213)
Epoch: [84][7210/14090]	Time 0.768 (0.767)	Data 0.001 (0.002)	Loss 1.6119 (1.7887)	Prec@1 63.281 (52.976)	Prec@5 82.031 (82.214)
Epoch: [84][7220/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 1.6092 (1.7887)	Prec@1 57.031 (52.975)	Prec@5 86.719 (82.214)
Epoch: [84][7230/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 1.6526 (1.7887)	Prec@1 54.688 (52.974)	Prec@5 85.938 (82.214)
Epoch: [84][7240/14090]	Time 0.760 (0.767)	Data 0.001 (0.002)	Loss 1.6870 (1.7886)	Prec@1 57.812 (52.975)	Prec@5 81.250 (82.217)
Epoch: [84][7250/14090]	Time 0.766 (0.767)	Data 0.001 (0.002)	Loss 1.8685 (1.7886)	Prec@1 57.812 (52.975)	Prec@5 79.688 (82.217)
Epoch: [84][7260/14090]	Time 0.768 (0.767)	Data 0.001 (0.002)	Loss 1.9386 (1.7885)	Prec@1 51.562 (52.977)	Prec@5 78.906 (82.218)
Epoch: [84][7270/14090]	Time 0.867 (0.767)	Data 0.001 (0.002)	Loss 1.9165 (1.7885)	Prec@1 51.562 (52.978)	Prec@5 78.125 (82.219)
Epoch: [84][7280/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 1.5529 (1.7885)	Prec@1 57.031 (52.976)	Prec@5 86.719 (82.220)
Epoch: [84][7290/14090]	Time 0.732 (0.767)	Data 0.001 (0.002)	Loss 1.7796 (1.7884)	Prec@1 51.562 (52.976)	Prec@5 85.938 (82.221)
Epoch: [84][7300/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 2.0022 (1.7885)	Prec@1 46.875 (52.972)	Prec@5 82.031 (82.222)
Epoch: [84][7310/14090]	Time 0.777 (0.767)	Data 0.001 (0.002)	Loss 1.5563 (1.7886)	Prec@1 57.812 (52.971)	Prec@5 85.938 (82.221)
Epoch: [84][7320/14090]	Time 0.760 (0.767)	Data 0.001 (0.002)	Loss 1.7536 (1.7886)	Prec@1 50.000 (52.969)	Prec@5 82.031 (82.221)
Epoch: [84][7330/14090]	Time 0.762 (0.767)	Data 0.001 (0.002)	Loss 2.0083 (1.7886)	Prec@1 39.844 (52.969)	Prec@5 82.812 (82.222)
Epoch: [84][7340/14090]	Time 0.928 (0.767)	Data 0.001 (0.002)	Loss 1.5172 (1.7886)	Prec@1 58.594 (52.971)	Prec@5 84.375 (82.224)
Epoch: [84][7350/14090]	Time 0.778 (0.767)	Data 0.001 (0.002)	Loss 1.9750 (1.7886)	Prec@1 49.219 (52.971)	Prec@5 81.250 (82.222)
Epoch: [84][7360/14090]	Time 0.728 (0.767)	Data 0.001 (0.002)	Loss 1.6178 (1.7887)	Prec@1 59.375 (52.970)	Prec@5 84.375 (82.222)
Epoch: [84][7370/14090]	Time 0.775 (0.767)	Data 0.001 (0.002)	Loss 1.5985 (1.7887)	Prec@1 57.812 (52.971)	Prec@5 85.938 (82.222)
Epoch: [84][7380/14090]	Time 0.733 (0.767)	Data 0.001 (0.002)	Loss 1.6473 (1.7886)	Prec@1 60.938 (52.974)	Prec@5 86.719 (82.221)
Epoch: [84][7390/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 2.0432 (1.7886)	Prec@1 46.875 (52.975)	Prec@5 75.781 (82.223)
Epoch: [84][7400/14090]	Time 0.750 (0.767)	Data 0.001 (0.002)	Loss 1.8387 (1.7886)	Prec@1 57.812 (52.977)	Prec@5 78.125 (82.222)
Epoch: [84][7410/14090]	Time 0.860 (0.767)	Data 0.001 (0.002)	Loss 1.7735 (1.7886)	Prec@1 51.562 (52.980)	Prec@5 81.250 (82.223)
Epoch: [84][7420/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 1.9743 (1.7887)	Prec@1 51.562 (52.981)	Prec@5 79.688 (82.219)
Epoch: [84][7430/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 1.8971 (1.7887)	Prec@1 47.656 (52.979)	Prec@5 78.906 (82.218)
Epoch: [84][7440/14090]	Time 0.725 (0.767)	Data 0.001 (0.002)	Loss 1.8489 (1.7888)	Prec@1 50.781 (52.978)	Prec@5 82.812 (82.218)
Epoch: [84][7450/14090]	Time 0.766 (0.767)	Data 0.001 (0.002)	Loss 1.6728 (1.7888)	Prec@1 53.906 (52.978)	Prec@5 85.156 (82.219)
Epoch: [84][7460/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 1.6313 (1.7889)	Prec@1 56.250 (52.976)	Prec@5 84.375 (82.219)
Epoch: [84][7470/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 1.9816 (1.7888)	Prec@1 50.000 (52.977)	Prec@5 81.250 (82.220)
Epoch: [84][7480/14090]	Time 0.866 (0.767)	Data 0.001 (0.002)	Loss 1.7586 (1.7887)	Prec@1 50.781 (52.979)	Prec@5 85.156 (82.221)
Epoch: [84][7490/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 1.6935 (1.7887)	Prec@1 53.906 (52.978)	Prec@5 81.250 (82.219)
Epoch: [84][7500/14090]	Time 0.726 (0.767)	Data 0.001 (0.002)	Loss 2.0014 (1.7887)	Prec@1 47.656 (52.977)	Prec@5 80.469 (82.219)
Epoch: [84][7510/14090]	Time 0.759 (0.767)	Data 0.001 (0.002)	Loss 1.8020 (1.7887)	Prec@1 56.250 (52.977)	Prec@5 82.031 (82.219)
Epoch: [84][7520/14090]	Time 0.768 (0.767)	Data 0.001 (0.002)	Loss 1.6740 (1.7888)	Prec@1 53.125 (52.975)	Prec@5 85.156 (82.217)
Epoch: [84][7530/14090]	Time 0.754 (0.767)	Data 0.001 (0.002)	Loss 1.9442 (1.7889)	Prec@1 50.000 (52.973)	Prec@5 78.125 (82.215)
Epoch: [84][7540/14090]	Time 0.781 (0.767)	Data 0.001 (0.002)	Loss 1.7941 (1.7890)	Prec@1 47.656 (52.971)	Prec@5 85.156 (82.213)
Epoch: [84][7550/14090]	Time 0.886 (0.767)	Data 0.001 (0.002)	Loss 2.0050 (1.7890)	Prec@1 46.875 (52.969)	Prec@5 78.125 (82.213)
Epoch: [84][7560/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 1.8075 (1.7890)	Prec@1 53.906 (52.967)	Prec@5 80.469 (82.213)
Epoch: [84][7570/14090]	Time 0.728 (0.767)	Data 0.001 (0.002)	Loss 1.7387 (1.7890)	Prec@1 55.469 (52.967)	Prec@5 85.938 (82.213)
Epoch: [84][7580/14090]	Time 0.761 (0.767)	Data 0.001 (0.002)	Loss 1.6196 (1.7889)	Prec@1 57.031 (52.968)	Prec@5 84.375 (82.216)
Epoch: [84][7590/14090]	Time 0.731 (0.767)	Data 0.001 (0.002)	Loss 1.6485 (1.7889)	Prec@1 60.938 (52.967)	Prec@5 85.156 (82.217)
Epoch: [84][7600/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 1.8019 (1.7889)	Prec@1 53.125 (52.964)	Prec@5 82.812 (82.218)
Epoch: [84][7610/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 1.5520 (1.7889)	Prec@1 52.344 (52.963)	Prec@5 82.031 (82.216)
Epoch: [84][7620/14090]	Time 0.845 (0.767)	Data 0.001 (0.002)	Loss 1.7803 (1.7890)	Prec@1 46.875 (52.961)	Prec@5 86.719 (82.217)
Epoch: [84][7630/14090]	Time 0.726 (0.767)	Data 0.001 (0.002)	Loss 1.8860 (1.7891)	Prec@1 49.219 (52.958)	Prec@5 80.469 (82.215)
Epoch: [84][7640/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 1.9982 (1.7891)	Prec@1 43.750 (52.958)	Prec@5 82.031 (82.213)
Epoch: [84][7650/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 1.5620 (1.7891)	Prec@1 60.156 (52.960)	Prec@5 84.375 (82.214)
Epoch: [84][7660/14090]	Time 0.750 (0.767)	Data 0.003 (0.002)	Loss 1.8866 (1.7892)	Prec@1 52.344 (52.958)	Prec@5 81.250 (82.212)
Epoch: [84][7670/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 1.5864 (1.7892)	Prec@1 50.781 (52.957)	Prec@5 84.375 (82.212)
Epoch: [84][7680/14090]	Time 0.747 (0.767)	Data 0.001 (0.002)	Loss 2.0893 (1.7892)	Prec@1 45.312 (52.955)	Prec@5 75.781 (82.212)
Epoch: [84][7690/14090]	Time 0.890 (0.767)	Data 0.001 (0.002)	Loss 1.7087 (1.7893)	Prec@1 55.469 (52.952)	Prec@5 86.719 (82.212)
Epoch: [84][7700/14090]	Time 0.729 (0.767)	Data 0.001 (0.002)	Loss 1.6947 (1.7893)	Prec@1 53.906 (52.953)	Prec@5 85.156 (82.211)
Epoch: [84][7710/14090]	Time 0.777 (0.767)	Data 0.001 (0.002)	Loss 1.7938 (1.7893)	Prec@1 53.906 (52.953)	Prec@5 85.938 (82.211)
Epoch: [84][7720/14090]	Time 0.764 (0.767)	Data 0.001 (0.002)	Loss 1.7195 (1.7894)	Prec@1 53.125 (52.953)	Prec@5 81.250 (82.209)
Epoch: [84][7730/14090]	Time 0.737 (0.767)	Data 0.001 (0.002)	Loss 1.9879 (1.7893)	Prec@1 42.969 (52.954)	Prec@5 79.688 (82.209)
Epoch: [84][7740/14090]	Time 0.753 (0.767)	Data 0.001 (0.002)	Loss 1.7931 (1.7894)	Prec@1 53.125 (52.953)	Prec@5 80.469 (82.209)
Epoch: [84][7750/14090]	Time 0.773 (0.767)	Data 0.001 (0.002)	Loss 1.8850 (1.7894)	Prec@1 52.344 (52.953)	Prec@5 79.688 (82.207)
Epoch: [84][7760/14090]	Time 0.825 (0.767)	Data 0.001 (0.002)	Loss 1.9213 (1.7894)	Prec@1 48.438 (52.953)	Prec@5 81.250 (82.208)
Epoch: [84][7770/14090]	Time 0.727 (0.767)	Data 0.001 (0.002)	Loss 1.5174 (1.7893)	Prec@1 60.938 (52.956)	Prec@5 84.375 (82.210)
Epoch: [84][7780/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 1.7612 (1.7894)	Prec@1 54.688 (52.952)	Prec@5 85.938 (82.207)
Epoch: [84][7790/14090]	Time 0.776 (0.767)	Data 0.001 (0.002)	Loss 2.0350 (1.7894)	Prec@1 41.406 (52.952)	Prec@5 79.688 (82.207)
Epoch: [84][7800/14090]	Time 0.725 (0.767)	Data 0.001 (0.002)	Loss 1.9130 (1.7894)	Prec@1 50.000 (52.951)	Prec@5 80.469 (82.207)
Epoch: [84][7810/14090]	Time 0.756 (0.767)	Data 0.001 (0.002)	Loss 1.6519 (1.7894)	Prec@1 56.250 (52.951)	Prec@5 84.375 (82.207)
Epoch: [84][7820/14090]	Time 0.773 (0.767)	Data 0.001 (0.002)	Loss 1.6739 (1.7894)	Prec@1 58.594 (52.952)	Prec@5 83.594 (82.207)
Epoch: [84][7830/14090]	Time 0.910 (0.767)	Data 0.001 (0.002)	Loss 1.8223 (1.7895)	Prec@1 53.906 (52.952)	Prec@5 81.250 (82.205)
Epoch: [84][7840/14090]	Time 0.751 (0.767)	Data 0.001 (0.002)	Loss 1.7734 (1.7894)	Prec@1 53.906 (52.952)	Prec@5 81.250 (82.205)
Epoch: [84][7850/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 1.7264 (1.7895)	Prec@1 53.125 (52.951)	Prec@5 87.500 (82.204)
Epoch: [84][7860/14090]	Time 0.734 (0.767)	Data 0.001 (0.002)	Loss 1.4892 (1.7895)	Prec@1 63.281 (52.952)	Prec@5 85.156 (82.203)
Epoch: [84][7870/14090]	Time 0.736 (0.767)	Data 0.001 (0.002)	Loss 1.7453 (1.7896)	Prec@1 53.906 (52.950)	Prec@5 85.938 (82.202)
Epoch: [84][7880/14090]	Time 0.738 (0.767)	Data 0.001 (0.002)	Loss 1.8876 (1.7897)	Prec@1 48.438 (52.949)	Prec@5 80.469 (82.201)
Epoch: [84][7890/14090]	Time 0.746 (0.767)	Data 0.001 (0.002)	Loss 1.6524 (1.7897)	Prec@1 55.469 (52.949)	Prec@5 83.594 (82.201)
Epoch: [84][7900/14090]	Time 0.867 (0.767)	Data 0.001 (0.002)	Loss 1.7116 (1.7896)	Prec@1 57.031 (52.951)	Prec@5 83.594 (82.203)
Epoch: [84][7910/14090]	Time 0.745 (0.767)	Data 0.001 (0.002)	Loss 2.0189 (1.7896)	Prec@1 46.875 (52.949)	Prec@5 75.781 (82.203)
Epoch: [84][7920/14090]	Time 0.748 (0.767)	Data 0.001 (0.002)	Loss 1.8848 (1.7896)	Prec@1 51.562 (52.951)	Prec@5 78.906 (82.202)
Epoch: [84][7930/14090]	Time 0.752 (0.767)	Data 0.001 (0.002)	Loss 1.4681 (1.7895)	Prec@1 60.156 (52.953)	Prec@5 89.062 (82.205)
Epoch: [84][7940/14090]	Time 0.743 (0.767)	Data 0.001 (0.002)	Loss 1.6710 (1.7896)	Prec@1 54.688 (52.952)	Prec@5 83.594 (82.203)
Epoch: [84][7950/14090]	Time 0.766 (0.767)	Data 0.001 (0.002)	Loss 2.1582 (1.7898)	Prec@1 46.875 (52.949)	Prec@5 71.875 (82.200)
Epoch: [84][7960/14090]	Time 0.731 (0.767)	Data 0.001 (0.002)	Loss 2.1621 (1.7899)	Prec@1 52.344 (52.946)	Prec@5 77.344 (82.199)
Epoch: [84][7970/14090]	Time 0.860 (0.767)	Data 0.001 (0.002)	Loss 1.8318 (1.7901)	Prec@1 50.781 (52.946)	Prec@5 80.469 (82.196)
Epoch: [84][7980/14090]	Time 0.728 (0.767)	Data 0.001 (0.002)	Loss 1.6703 (1.7900)	Prec@1 59.375 (52.946)	Prec@5 85.156 (82.195)
Epoch: [84][7990/14090]	Time 0.728 (0.767)	Data 0.001 (0.002)	Loss 1.8270 (1.7901)	Prec@1 51.562 (52.942)	Prec@5 79.688 (82.194)
Epoch: [84][8000/14090]	Time 0.763 (0.767)	Data 0.001 (0.001)	Loss 1.6040 (1.7902)	Prec@1 56.250 (52.942)	Prec@5 87.500 (82.193)
Epoch: [84][8010/14090]	Time 0.773 (0.767)	Data 0.001 (0.001)	Loss 1.8429 (1.7901)	Prec@1 48.438 (52.942)	Prec@5 77.344 (82.192)
Epoch: [84][8020/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 1.9219 (1.7902)	Prec@1 47.656 (52.942)	Prec@5 80.469 (82.193)
Epoch: [84][8030/14090]	Time 0.725 (0.767)	Data 0.001 (0.001)	Loss 1.8241 (1.7902)	Prec@1 50.781 (52.941)	Prec@5 84.375 (82.193)
Epoch: [84][8040/14090]	Time 0.859 (0.767)	Data 0.001 (0.001)	Loss 1.9449 (1.7901)	Prec@1 47.656 (52.942)	Prec@5 78.125 (82.195)
Epoch: [84][8050/14090]	Time 0.737 (0.767)	Data 0.002 (0.001)	Loss 2.1482 (1.7902)	Prec@1 44.531 (52.943)	Prec@5 71.875 (82.193)
Epoch: [84][8060/14090]	Time 0.729 (0.767)	Data 0.001 (0.001)	Loss 1.6961 (1.7903)	Prec@1 57.031 (52.940)	Prec@5 82.812 (82.190)
Epoch: [84][8070/14090]	Time 0.762 (0.767)	Data 0.001 (0.001)	Loss 1.6398 (1.7903)	Prec@1 56.250 (52.942)	Prec@5 83.594 (82.190)
Epoch: [84][8080/14090]	Time 0.735 (0.767)	Data 0.001 (0.001)	Loss 1.9355 (1.7904)	Prec@1 43.750 (52.942)	Prec@5 77.344 (82.189)
Epoch: [84][8090/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 1.7960 (1.7904)	Prec@1 54.688 (52.941)	Prec@5 78.906 (82.187)
Epoch: [84][8100/14090]	Time 0.724 (0.767)	Data 0.001 (0.001)	Loss 1.7900 (1.7905)	Prec@1 54.688 (52.939)	Prec@5 80.469 (82.185)
Epoch: [84][8110/14090]	Time 0.894 (0.767)	Data 0.001 (0.001)	Loss 1.9082 (1.7905)	Prec@1 50.000 (52.938)	Prec@5 78.906 (82.186)
Epoch: [84][8120/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 1.8488 (1.7904)	Prec@1 53.125 (52.939)	Prec@5 81.250 (82.186)
Epoch: [84][8130/14090]	Time 0.747 (0.767)	Data 0.001 (0.001)	Loss 1.6314 (1.7905)	Prec@1 53.906 (52.939)	Prec@5 82.812 (82.186)
Epoch: [84][8140/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 1.7212 (1.7905)	Prec@1 56.250 (52.937)	Prec@5 79.688 (82.186)
Epoch: [84][8150/14090]	Time 0.756 (0.767)	Data 0.001 (0.001)	Loss 1.8257 (1.7906)	Prec@1 54.688 (52.938)	Prec@5 80.469 (82.184)
Epoch: [84][8160/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 1.6498 (1.7905)	Prec@1 62.500 (52.939)	Prec@5 83.594 (82.183)
Epoch: [84][8170/14090]	Time 0.769 (0.767)	Data 0.001 (0.001)	Loss 1.8360 (1.7906)	Prec@1 48.438 (52.937)	Prec@5 82.812 (82.181)
Epoch: [84][8180/14090]	Time 0.831 (0.767)	Data 0.001 (0.001)	Loss 1.6789 (1.7907)	Prec@1 57.812 (52.938)	Prec@5 85.156 (82.181)
Epoch: [84][8190/14090]	Time 0.764 (0.767)	Data 0.001 (0.001)	Loss 1.6829 (1.7906)	Prec@1 54.688 (52.939)	Prec@5 84.375 (82.182)
Epoch: [84][8200/14090]	Time 0.777 (0.767)	Data 0.001 (0.001)	Loss 1.9989 (1.7906)	Prec@1 46.094 (52.939)	Prec@5 77.344 (82.182)
Epoch: [84][8210/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 1.8189 (1.7907)	Prec@1 49.219 (52.937)	Prec@5 81.250 (82.182)
Epoch: [84][8220/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 1.7991 (1.7906)	Prec@1 50.000 (52.937)	Prec@5 83.594 (82.183)
Epoch: [84][8230/14090]	Time 0.765 (0.767)	Data 0.001 (0.001)	Loss 1.8186 (1.7906)	Prec@1 55.469 (52.936)	Prec@5 82.031 (82.184)
Epoch: [84][8240/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 1.4749 (1.7906)	Prec@1 60.938 (52.937)	Prec@5 91.406 (82.185)
Epoch: [84][8250/14090]	Time 0.860 (0.767)	Data 0.001 (0.001)	Loss 1.8988 (1.7905)	Prec@1 46.094 (52.936)	Prec@5 81.250 (82.184)
Epoch: [84][8260/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 1.8024 (1.7905)	Prec@1 54.688 (52.936)	Prec@5 81.250 (82.184)
Epoch: [84][8270/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.0698 (1.7904)	Prec@1 43.750 (52.939)	Prec@5 76.562 (82.185)
Epoch: [84][8280/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 1.8223 (1.7903)	Prec@1 51.562 (52.942)	Prec@5 83.594 (82.187)
Epoch: [84][8290/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 1.5325 (1.7903)	Prec@1 57.031 (52.943)	Prec@5 85.156 (82.188)
Epoch: [84][8300/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 2.0198 (1.7904)	Prec@1 45.312 (52.939)	Prec@5 76.562 (82.187)
Epoch: [84][8310/14090]	Time 0.739 (0.767)	Data 0.001 (0.001)	Loss 1.8273 (1.7905)	Prec@1 50.781 (52.939)	Prec@5 83.594 (82.185)
Epoch: [84][8320/14090]	Time 0.863 (0.767)	Data 0.001 (0.001)	Loss 1.6522 (1.7904)	Prec@1 58.594 (52.944)	Prec@5 84.375 (82.187)
Epoch: [84][8330/14090]	Time 0.743 (0.767)	Data 0.001 (0.001)	Loss 2.0145 (1.7903)	Prec@1 49.219 (52.942)	Prec@5 81.250 (82.188)
Epoch: [84][8340/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 1.9517 (1.7903)	Prec@1 51.562 (52.942)	Prec@5 78.125 (82.187)
Epoch: [84][8350/14090]	Time 0.763 (0.767)	Data 0.001 (0.001)	Loss 1.6982 (1.7903)	Prec@1 55.469 (52.942)	Prec@5 84.375 (82.185)
Epoch: [84][8360/14090]	Time 0.723 (0.767)	Data 0.001 (0.001)	Loss 1.7095 (1.7902)	Prec@1 54.688 (52.943)	Prec@5 80.469 (82.187)
Epoch: [84][8370/14090]	Time 0.753 (0.767)	Data 0.001 (0.001)	Loss 1.9527 (1.7903)	Prec@1 46.094 (52.942)	Prec@5 82.812 (82.187)
Epoch: [84][8380/14090]	Time 0.761 (0.767)	Data 0.001 (0.001)	Loss 1.9319 (1.7903)	Prec@1 49.219 (52.943)	Prec@5 80.469 (82.185)
Epoch: [84][8390/14090]	Time 0.876 (0.767)	Data 0.001 (0.001)	Loss 2.1088 (1.7903)	Prec@1 47.656 (52.941)	Prec@5 77.344 (82.185)
Epoch: [84][8400/14090]	Time 0.772 (0.767)	Data 0.001 (0.001)	Loss 1.9723 (1.7904)	Prec@1 48.438 (52.938)	Prec@5 75.781 (82.183)
Epoch: [84][8410/14090]	Time 0.732 (0.767)	Data 0.001 (0.001)	Loss 1.9777 (1.7906)	Prec@1 51.562 (52.935)	Prec@5 78.906 (82.180)
Epoch: [84][8420/14090]	Time 0.750 (0.767)	Data 0.001 (0.001)	Loss 1.6970 (1.7905)	Prec@1 51.562 (52.934)	Prec@5 86.719 (82.181)
Epoch: [84][8430/14090]	Time 0.777 (0.767)	Data 0.001 (0.001)	Loss 1.9233 (1.7906)	Prec@1 48.438 (52.930)	Prec@5 83.594 (82.179)
Epoch: [84][8440/14090]	Time 0.760 (0.767)	Data 0.001 (0.001)	Loss 1.8335 (1.7907)	Prec@1 53.125 (52.929)	Prec@5 82.031 (82.179)
Epoch: [84][8450/14090]	Time 0.774 (0.767)	Data 0.001 (0.001)	Loss 1.7996 (1.7906)	Prec@1 56.250 (52.929)	Prec@5 78.906 (82.180)
Epoch: [84][8460/14090]	Time 0.848 (0.767)	Data 0.001 (0.001)	Loss 1.9284 (1.7907)	Prec@1 42.969 (52.927)	Prec@5 77.344 (82.178)
Epoch: [84][8470/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 1.7152 (1.7907)	Prec@1 53.125 (52.927)	Prec@5 80.469 (82.177)
Epoch: [84][8480/14090]	Time 0.725 (0.767)	Data 0.001 (0.001)	Loss 1.8368 (1.7907)	Prec@1 57.031 (52.926)	Prec@5 86.719 (82.179)
Epoch: [84][8490/14090]	Time 0.758 (0.767)	Data 0.001 (0.001)	Loss 1.5983 (1.7907)	Prec@1 57.031 (52.926)	Prec@5 85.156 (82.179)
Epoch: [84][8500/14090]	Time 0.759 (0.767)	Data 0.001 (0.001)	Loss 1.9474 (1.7907)	Prec@1 46.875 (52.927)	Prec@5 80.469 (82.179)
Epoch: [84][8510/14090]	Time 0.751 (0.767)	Data 0.001 (0.001)	Loss 1.9094 (1.7906)	Prec@1 51.562 (52.928)	Prec@5 77.344 (82.180)
Epoch: [84][8520/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 2.1397 (1.7907)	Prec@1 43.750 (52.927)	Prec@5 75.781 (82.180)
Epoch: [84][8530/14090]	Time 0.846 (0.767)	Data 0.001 (0.001)	Loss 1.8009 (1.7906)	Prec@1 53.906 (52.930)	Prec@5 84.375 (82.182)
Epoch: [84][8540/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 1.7570 (1.7906)	Prec@1 52.344 (52.930)	Prec@5 82.812 (82.181)
Epoch: [84][8550/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 1.7050 (1.7906)	Prec@1 53.125 (52.930)	Prec@5 81.250 (82.181)
Epoch: [84][8560/14090]	Time 0.773 (0.767)	Data 0.001 (0.001)	Loss 1.4534 (1.7907)	Prec@1 64.062 (52.929)	Prec@5 88.281 (82.181)
Epoch: [84][8570/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 1.8078 (1.7907)	Prec@1 53.125 (52.930)	Prec@5 76.562 (82.180)
Epoch: [84][8580/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 1.8866 (1.7907)	Prec@1 48.438 (52.930)	Prec@5 78.906 (82.180)
Epoch: [84][8590/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 1.8114 (1.7907)	Prec@1 51.562 (52.928)	Prec@5 86.719 (82.180)
Epoch: [84][8600/14090]	Time 0.847 (0.766)	Data 0.001 (0.001)	Loss 1.8507 (1.7907)	Prec@1 42.969 (52.926)	Prec@5 85.156 (82.178)
Epoch: [84][8610/14090]	Time 0.722 (0.766)	Data 0.001 (0.001)	Loss 1.8190 (1.7908)	Prec@1 52.344 (52.926)	Prec@5 84.375 (82.179)
Epoch: [84][8620/14090]	Time 0.723 (0.766)	Data 0.001 (0.001)	Loss 1.9151 (1.7908)	Prec@1 53.125 (52.926)	Prec@5 82.812 (82.181)
Epoch: [84][8630/14090]	Time 0.776 (0.766)	Data 0.001 (0.001)	Loss 1.6594 (1.7909)	Prec@1 53.906 (52.924)	Prec@5 85.156 (82.179)
Epoch: [84][8640/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 1.8392 (1.7908)	Prec@1 52.344 (52.928)	Prec@5 82.031 (82.179)
Epoch: [84][8650/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 1.8973 (1.7909)	Prec@1 48.438 (52.927)	Prec@5 80.469 (82.177)
Epoch: [84][8660/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 1.7589 (1.7908)	Prec@1 51.562 (52.928)	Prec@5 83.594 (82.179)
Epoch: [84][8670/14090]	Time 0.913 (0.766)	Data 0.001 (0.001)	Loss 1.8486 (1.7908)	Prec@1 50.000 (52.925)	Prec@5 76.562 (82.177)
Epoch: [84][8680/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 2.0010 (1.7908)	Prec@1 56.250 (52.926)	Prec@5 77.344 (82.179)
Epoch: [84][8690/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 1.7008 (1.7908)	Prec@1 59.375 (52.926)	Prec@5 82.812 (82.178)
Epoch: [84][8700/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 1.8095 (1.7909)	Prec@1 52.344 (52.925)	Prec@5 81.250 (82.178)
Epoch: [84][8710/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 1.8579 (1.7909)	Prec@1 48.438 (52.924)	Prec@5 80.469 (82.178)
Epoch: [84][8720/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 1.9449 (1.7910)	Prec@1 50.781 (52.920)	Prec@5 78.906 (82.177)
Epoch: [84][8730/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 1.7312 (1.7910)	Prec@1 54.688 (52.922)	Prec@5 82.812 (82.177)
Epoch: [84][8740/14090]	Time 0.878 (0.766)	Data 0.001 (0.001)	Loss 1.6782 (1.7909)	Prec@1 53.906 (52.923)	Prec@5 83.594 (82.176)
Epoch: [84][8750/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 1.7578 (1.7910)	Prec@1 52.344 (52.921)	Prec@5 82.812 (82.175)
Epoch: [84][8760/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 1.8065 (1.7909)	Prec@1 48.438 (52.924)	Prec@5 82.031 (82.176)
Epoch: [84][8770/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 1.5935 (1.7909)	Prec@1 58.594 (52.923)	Prec@5 84.375 (82.175)
Epoch: [84][8780/14090]	Time 0.784 (0.766)	Data 0.001 (0.001)	Loss 1.5409 (1.7908)	Prec@1 60.938 (52.924)	Prec@5 86.719 (82.177)
Epoch: [84][8790/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 2.0464 (1.7909)	Prec@1 49.219 (52.925)	Prec@5 78.906 (82.176)
Epoch: [84][8800/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 1.9578 (1.7909)	Prec@1 44.531 (52.926)	Prec@5 78.906 (82.176)
Epoch: [84][8810/14090]	Time 0.863 (0.766)	Data 0.001 (0.001)	Loss 1.8525 (1.7909)	Prec@1 54.688 (52.924)	Prec@5 84.375 (82.175)
Epoch: [84][8820/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 1.9653 (1.7910)	Prec@1 48.438 (52.923)	Prec@5 80.469 (82.175)
Epoch: [84][8830/14090]	Time 0.761 (0.766)	Data 0.002 (0.001)	Loss 1.9752 (1.7909)	Prec@1 53.906 (52.924)	Prec@5 72.656 (82.174)
Epoch: [84][8840/14090]	Time 0.777 (0.766)	Data 0.001 (0.001)	Loss 1.8926 (1.7908)	Prec@1 49.219 (52.925)	Prec@5 78.906 (82.174)
Epoch: [84][8850/14090]	Time 0.722 (0.766)	Data 0.001 (0.001)	Loss 1.7527 (1.7908)	Prec@1 47.656 (52.927)	Prec@5 82.031 (82.175)
Epoch: [84][8860/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 1.8252 (1.7907)	Prec@1 54.688 (52.927)	Prec@5 80.469 (82.175)
Epoch: [84][8870/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 1.8887 (1.7908)	Prec@1 52.344 (52.929)	Prec@5 81.250 (82.175)
Epoch: [84][8880/14090]	Time 0.832 (0.766)	Data 0.001 (0.001)	Loss 1.6556 (1.7907)	Prec@1 55.469 (52.930)	Prec@5 81.250 (82.177)
Epoch: [84][8890/14090]	Time 0.724 (0.766)	Data 0.001 (0.001)	Loss 1.7089 (1.7907)	Prec@1 51.562 (52.930)	Prec@5 80.469 (82.174)
Epoch: [84][8900/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 1.6440 (1.7906)	Prec@1 58.594 (52.932)	Prec@5 83.594 (82.174)
Epoch: [84][8910/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 1.4436 (1.7906)	Prec@1 64.844 (52.932)	Prec@5 85.938 (82.173)
Epoch: [84][8920/14090]	Time 0.786 (0.766)	Data 0.001 (0.001)	Loss 1.9004 (1.7906)	Prec@1 43.750 (52.931)	Prec@5 85.156 (82.172)
Epoch: [84][8930/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 1.5404 (1.7905)	Prec@1 59.375 (52.933)	Prec@5 85.156 (82.173)
Epoch: [84][8940/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.0788 (1.7906)	Prec@1 45.312 (52.932)	Prec@5 77.344 (82.171)
Epoch: [84][8950/14090]	Time 0.958 (0.766)	Data 0.001 (0.001)	Loss 1.8208 (1.7907)	Prec@1 53.125 (52.931)	Prec@5 81.250 (82.169)
Epoch: [84][8960/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 1.7887 (1.7907)	Prec@1 51.562 (52.929)	Prec@5 85.938 (82.170)
Epoch: [84][8970/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 1.7509 (1.7908)	Prec@1 51.562 (52.926)	Prec@5 81.250 (82.169)
Epoch: [84][8980/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 1.8136 (1.7908)	Prec@1 53.125 (52.925)	Prec@5 78.906 (82.169)
Epoch: [84][8990/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 1.8837 (1.7908)	Prec@1 50.000 (52.925)	Prec@5 80.469 (82.168)
Epoch: [84][9000/14090]	Time 0.770 (0.766)	Data 0.001 (0.001)	Loss 1.9242 (1.7908)	Prec@1 50.000 (52.926)	Prec@5 78.125 (82.168)
Epoch: [84][9010/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 1.6675 (1.7908)	Prec@1 58.594 (52.928)	Prec@5 88.281 (82.170)
Epoch: [84][9020/14090]	Time 0.875 (0.766)	Data 0.001 (0.001)	Loss 2.0114 (1.7908)	Prec@1 49.219 (52.927)	Prec@5 80.469 (82.172)
Epoch: [84][9030/14090]	Time 0.789 (0.766)	Data 0.001 (0.001)	Loss 1.8548 (1.7908)	Prec@1 49.219 (52.926)	Prec@5 80.469 (82.169)
Epoch: [84][9040/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 1.9199 (1.7908)	Prec@1 50.000 (52.923)	Prec@5 82.812 (82.169)
Epoch: [84][9050/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 1.7246 (1.7909)	Prec@1 57.031 (52.923)	Prec@5 78.125 (82.168)
Epoch: [84][9060/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.0290 (1.7910)	Prec@1 46.875 (52.921)	Prec@5 75.000 (82.167)
Epoch: [84][9070/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.0060 (1.7909)	Prec@1 51.562 (52.924)	Prec@5 77.344 (82.168)
Epoch: [84][9080/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 1.8458 (1.7908)	Prec@1 49.219 (52.924)	Prec@5 81.250 (82.169)
Epoch: [84][9090/14090]	Time 0.849 (0.767)	Data 0.001 (0.001)	Loss 1.7919 (1.7909)	Prec@1 53.906 (52.922)	Prec@5 83.594 (82.167)
Epoch: [84][9100/14090]	Time 0.767 (0.767)	Data 0.001 (0.001)	Loss 1.7698 (1.7910)	Prec@1 51.562 (52.924)	Prec@5 85.938 (82.167)
Epoch: [84][9110/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 1.5553 (1.7909)	Prec@1 58.594 (52.928)	Prec@5 84.375 (82.167)
Epoch: [84][9120/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 1.7307 (1.7909)	Prec@1 53.125 (52.928)	Prec@5 84.375 (82.167)
Epoch: [84][9130/14090]	Time 0.774 (0.767)	Data 0.001 (0.001)	Loss 1.9519 (1.7909)	Prec@1 49.219 (52.930)	Prec@5 79.688 (82.168)
Epoch: [84][9140/14090]	Time 0.745 (0.767)	Data 0.001 (0.001)	Loss 1.6702 (1.7910)	Prec@1 63.281 (52.929)	Prec@5 79.688 (82.165)
Epoch: [84][9150/14090]	Time 0.727 (0.767)	Data 0.001 (0.001)	Loss 1.9384 (1.7910)	Prec@1 48.438 (52.929)	Prec@5 80.469 (82.165)
Epoch: [84][9160/14090]	Time 0.869 (0.767)	Data 0.001 (0.001)	Loss 1.7568 (1.7909)	Prec@1 54.688 (52.931)	Prec@5 82.812 (82.166)
Epoch: [84][9170/14090]	Time 0.754 (0.767)	Data 0.001 (0.001)	Loss 1.7668 (1.7909)	Prec@1 53.125 (52.933)	Prec@5 84.375 (82.166)
Epoch: [84][9180/14090]	Time 0.740 (0.767)	Data 0.001 (0.001)	Loss 1.8598 (1.7909)	Prec@1 47.656 (52.931)	Prec@5 84.375 (82.168)
Epoch: [84][9190/14090]	Time 0.730 (0.767)	Data 0.001 (0.001)	Loss 1.7203 (1.7910)	Prec@1 55.469 (52.930)	Prec@5 84.375 (82.168)
Epoch: [84][9200/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 1.8564 (1.7909)	Prec@1 50.781 (52.930)	Prec@5 82.812 (82.170)
Epoch: [84][9210/14090]	Time 0.726 (0.767)	Data 0.001 (0.001)	Loss 1.8592 (1.7909)	Prec@1 48.438 (52.930)	Prec@5 78.125 (82.171)
Epoch: [84][9220/14090]	Time 0.769 (0.767)	Data 0.001 (0.001)	Loss 1.7168 (1.7909)	Prec@1 54.688 (52.929)	Prec@5 85.156 (82.173)
Epoch: [84][9230/14090]	Time 0.915 (0.767)	Data 0.001 (0.001)	Loss 2.0761 (1.7910)	Prec@1 50.781 (52.928)	Prec@5 75.781 (82.172)
Epoch: [84][9240/14090]	Time 0.774 (0.767)	Data 0.001 (0.001)	Loss 1.8264 (1.7911)	Prec@1 52.344 (52.927)	Prec@5 82.031 (82.169)
Epoch: [84][9250/14090]	Time 0.787 (0.767)	Data 0.001 (0.001)	Loss 1.8390 (1.7911)	Prec@1 49.219 (52.927)	Prec@5 80.469 (82.168)
Epoch: [84][9260/14090]	Time 0.741 (0.767)	Data 0.001 (0.001)	Loss 1.6368 (1.7912)	Prec@1 54.688 (52.926)	Prec@5 86.719 (82.168)
Epoch: [84][9270/14090]	Time 0.755 (0.767)	Data 0.001 (0.001)	Loss 1.6785 (1.7911)	Prec@1 52.344 (52.927)	Prec@5 83.594 (82.169)
Epoch: [84][9280/14090]	Time 0.746 (0.767)	Data 0.001 (0.001)	Loss 1.8036 (1.7911)	Prec@1 53.125 (52.927)	Prec@5 85.938 (82.169)
Epoch: [84][9290/14090]	Time 0.736 (0.767)	Data 0.001 (0.001)	Loss 1.5149 (1.7912)	Prec@1 60.938 (52.925)	Prec@5 85.156 (82.168)
Epoch: [84][9300/14090]	Time 0.863 (0.767)	Data 0.001 (0.001)	Loss 1.6086 (1.7912)	Prec@1 61.719 (52.925)	Prec@5 82.812 (82.169)
Epoch: [84][9310/14090]	Time 0.752 (0.767)	Data 0.001 (0.001)	Loss 1.6518 (1.7911)	Prec@1 57.812 (52.927)	Prec@5 81.250 (82.170)
Epoch: [84][9320/14090]	Time 0.734 (0.767)	Data 0.001 (0.001)	Loss 1.8906 (1.7912)	Prec@1 49.219 (52.926)	Prec@5 80.469 (82.169)
Epoch: [84][9330/14090]	Time 0.757 (0.767)	Data 0.001 (0.001)	Loss 1.7527 (1.7913)	Prec@1 53.125 (52.924)	Prec@5 84.375 (82.168)
Epoch: [84][9340/14090]	Time 0.777 (0.766)	Data 0.001 (0.001)	Loss 1.8423 (1.7913)	Prec@1 47.656 (52.922)	Prec@5 80.469 (82.167)
Epoch: [84][9350/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 1.9018 (1.7913)	Prec@1 49.219 (52.922)	Prec@5 81.250 (82.167)
Epoch: [84][9360/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 1.4442 (1.7913)	Prec@1 63.281 (52.923)	Prec@5 87.500 (82.165)
Epoch: [84][9370/14090]	Time 0.864 (0.766)	Data 0.001 (0.001)	Loss 1.5660 (1.7913)	Prec@1 56.250 (52.925)	Prec@5 88.281 (82.166)
Epoch: [84][9380/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 1.7560 (1.7913)	Prec@1 53.125 (52.925)	Prec@5 89.062 (82.165)
Epoch: [84][9390/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 1.7732 (1.7914)	Prec@1 50.000 (52.923)	Prec@5 82.812 (82.164)
Epoch: [84][9400/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 1.7027 (1.7913)	Prec@1 52.344 (52.922)	Prec@5 81.250 (82.163)
Epoch: [84][9410/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 1.8503 (1.7915)	Prec@1 51.562 (52.919)	Prec@5 78.125 (82.161)
Epoch: [84][9420/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 1.5105 (1.7914)	Prec@1 61.719 (52.919)	Prec@5 87.500 (82.162)
Epoch: [84][9430/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 1.9680 (1.7915)	Prec@1 47.656 (52.918)	Prec@5 79.688 (82.158)
Epoch: [84][9440/14090]	Time 0.879 (0.766)	Data 0.001 (0.001)	Loss 1.8401 (1.7914)	Prec@1 56.250 (52.921)	Prec@5 83.594 (82.160)
Epoch: [84][9450/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 1.9934 (1.7915)	Prec@1 51.562 (52.919)	Prec@5 78.125 (82.159)
Epoch: [84][9460/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 1.9610 (1.7915)	Prec@1 51.562 (52.919)	Prec@5 78.906 (82.159)
Epoch: [84][9470/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 1.7497 (1.7915)	Prec@1 53.125 (52.919)	Prec@5 81.250 (82.158)
Epoch: [84][9480/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 1.5860 (1.7914)	Prec@1 58.594 (52.920)	Prec@5 83.594 (82.160)
Epoch: [84][9490/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 1.4696 (1.7914)	Prec@1 61.719 (52.922)	Prec@5 86.719 (82.162)
Epoch: [84][9500/14090]	Time 0.777 (0.766)	Data 0.001 (0.001)	Loss 2.0149 (1.7914)	Prec@1 46.094 (52.923)	Prec@5 79.688 (82.162)
Epoch: [84][9510/14090]	Time 0.884 (0.766)	Data 0.001 (0.001)	Loss 1.7748 (1.7914)	Prec@1 54.688 (52.922)	Prec@5 85.938 (82.161)
Epoch: [84][9520/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 1.8742 (1.7915)	Prec@1 46.094 (52.922)	Prec@5 76.562 (82.159)
Epoch: [84][9530/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 1.6725 (1.7914)	Prec@1 60.156 (52.922)	Prec@5 82.812 (82.160)
Epoch: [84][9540/14090]	Time 0.787 (0.766)	Data 0.001 (0.001)	Loss 1.9253 (1.7915)	Prec@1 48.438 (52.919)	Prec@5 78.906 (82.159)
Epoch: [84][9550/14090]	Time 0.774 (0.766)	Data 0.001 (0.001)	Loss 1.7240 (1.7916)	Prec@1 55.469 (52.918)	Prec@5 85.156 (82.157)
Epoch: [84][9560/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 1.8406 (1.7917)	Prec@1 50.000 (52.917)	Prec@5 83.594 (82.156)
Epoch: [84][9570/14090]	Time 0.765 (0.766)	Data 0.001 (0.001)	Loss 2.0802 (1.7917)	Prec@1 47.656 (52.916)	Prec@5 77.344 (82.157)
Epoch: [84][9580/14090]	Time 0.881 (0.766)	Data 0.001 (0.001)	Loss 1.6614 (1.7918)	Prec@1 60.156 (52.916)	Prec@5 86.719 (82.156)
Epoch: [84][9590/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 2.0013 (1.7917)	Prec@1 47.656 (52.918)	Prec@5 72.656 (82.157)
Epoch: [84][9600/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 1.9225 (1.7917)	Prec@1 53.125 (52.920)	Prec@5 81.250 (82.158)
Epoch: [84][9610/14090]	Time 0.770 (0.766)	Data 0.001 (0.001)	Loss 1.8440 (1.7917)	Prec@1 51.562 (52.919)	Prec@5 82.031 (82.159)
Epoch: [84][9620/14090]	Time 0.786 (0.766)	Data 0.001 (0.001)	Loss 1.8416 (1.7917)	Prec@1 56.250 (52.919)	Prec@5 85.156 (82.158)
Epoch: [84][9630/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.0066 (1.7918)	Prec@1 49.219 (52.917)	Prec@5 76.562 (82.157)
Epoch: [84][9640/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 1.6231 (1.7918)	Prec@1 57.031 (52.916)	Prec@5 86.719 (82.156)
Epoch: [84][9650/14090]	Time 0.912 (0.766)	Data 0.001 (0.001)	Loss 2.0975 (1.7918)	Prec@1 43.750 (52.916)	Prec@5 75.000 (82.155)
Epoch: [84][9660/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 1.6144 (1.7918)	Prec@1 57.031 (52.917)	Prec@5 87.500 (82.155)
Epoch: [84][9670/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 1.9910 (1.7918)	Prec@1 47.656 (52.917)	Prec@5 77.344 (82.155)
Epoch: [84][9680/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 1.7703 (1.7918)	Prec@1 47.656 (52.917)	Prec@5 83.594 (82.154)
Epoch: [84][9690/14090]	Time 0.788 (0.766)	Data 0.001 (0.001)	Loss 1.7773 (1.7919)	Prec@1 51.562 (52.915)	Prec@5 83.594 (82.153)
Epoch: [84][9700/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 1.8184 (1.7919)	Prec@1 52.344 (52.915)	Prec@5 76.562 (82.153)
Epoch: [84][9710/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.0566 (1.7919)	Prec@1 50.781 (52.915)	Prec@5 77.344 (82.153)
Epoch: [84][9720/14090]	Time 0.857 (0.766)	Data 0.001 (0.001)	Loss 1.6262 (1.7919)	Prec@1 56.250 (52.918)	Prec@5 84.375 (82.153)
Epoch: [84][9730/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 1.9945 (1.7919)	Prec@1 50.781 (52.918)	Prec@5 83.594 (82.152)
Epoch: [84][9740/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 1.6797 (1.7918)	Prec@1 57.812 (52.921)	Prec@5 85.156 (82.153)
Epoch: [84][9750/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 1.5117 (1.7918)	Prec@1 57.812 (52.923)	Prec@5 87.500 (82.154)
Epoch: [84][9760/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 1.8878 (1.7918)	Prec@1 49.219 (52.924)	Prec@5 81.250 (82.154)
Epoch: [84][9770/14090]	Time 0.770 (0.766)	Data 0.001 (0.001)	Loss 1.9563 (1.7917)	Prec@1 47.656 (52.925)	Prec@5 78.125 (82.154)
Epoch: [84][9780/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 1.6716 (1.7918)	Prec@1 55.469 (52.923)	Prec@5 84.375 (82.154)
Epoch: [84][9790/14090]	Time 0.840 (0.766)	Data 0.001 (0.001)	Loss 1.6935 (1.7917)	Prec@1 57.031 (52.924)	Prec@5 85.156 (82.156)
Epoch: [84][9800/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 1.9387 (1.7918)	Prec@1 51.562 (52.923)	Prec@5 82.031 (82.154)
Epoch: [84][9810/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 1.8055 (1.7919)	Prec@1 53.906 (52.922)	Prec@5 84.375 (82.154)
Epoch: [84][9820/14090]	Time 0.783 (0.766)	Data 0.001 (0.001)	Loss 1.8621 (1.7919)	Prec@1 50.000 (52.921)	Prec@5 80.469 (82.153)
Epoch: [84][9830/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 1.6576 (1.7920)	Prec@1 52.344 (52.919)	Prec@5 85.156 (82.152)
Epoch: [84][9840/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 1.9992 (1.7920)	Prec@1 50.000 (52.919)	Prec@5 80.469 (82.152)
Epoch: [84][9850/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 1.8290 (1.7920)	Prec@1 52.344 (52.920)	Prec@5 81.250 (82.152)
Epoch: [84][9860/14090]	Time 0.864 (0.766)	Data 0.001 (0.001)	Loss 1.7239 (1.7919)	Prec@1 56.250 (52.921)	Prec@5 78.906 (82.153)
Epoch: [84][9870/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 1.8181 (1.7919)	Prec@1 44.531 (52.921)	Prec@5 82.031 (82.155)
Epoch: [84][9880/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 1.5573 (1.7919)	Prec@1 56.250 (52.921)	Prec@5 86.719 (82.156)
Epoch: [84][9890/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 1.9416 (1.7920)	Prec@1 50.781 (52.917)	Prec@5 78.906 (82.154)
Epoch: [84][9900/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 2.4477 (1.7920)	Prec@1 42.188 (52.915)	Prec@5 75.000 (82.152)
Epoch: [84][9910/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 1.8504 (1.7920)	Prec@1 46.875 (52.917)	Prec@5 82.812 (82.153)
Epoch: [84][9920/14090]	Time 0.767 (0.766)	Data 0.001 (0.001)	Loss 1.4448 (1.7920)	Prec@1 63.281 (52.917)	Prec@5 89.844 (82.152)
Epoch: [84][9930/14090]	Time 0.837 (0.766)	Data 0.001 (0.001)	Loss 2.1660 (1.7921)	Prec@1 45.312 (52.914)	Prec@5 76.562 (82.151)
Epoch: [84][9940/14090]	Time 0.773 (0.766)	Data 0.001 (0.001)	Loss 1.6105 (1.7921)	Prec@1 57.812 (52.915)	Prec@5 84.375 (82.151)
Epoch: [84][9950/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 1.8840 (1.7921)	Prec@1 50.000 (52.913)	Prec@5 80.469 (82.151)
Epoch: [84][9960/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 1.7630 (1.7922)	Prec@1 53.125 (52.911)	Prec@5 83.594 (82.150)
Epoch: [84][9970/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 1.7802 (1.7921)	Prec@1 53.906 (52.913)	Prec@5 78.906 (82.149)
Epoch: [84][9980/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 1.6308 (1.7921)	Prec@1 59.375 (52.913)	Prec@5 83.594 (82.149)
Epoch: [84][9990/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 1.6592 (1.7922)	Prec@1 50.781 (52.911)	Prec@5 84.375 (82.149)
Epoch: [84][10000/14090]	Time 0.824 (0.766)	Data 0.001 (0.001)	Loss 1.9410 (1.7921)	Prec@1 50.781 (52.912)	Prec@5 78.906 (82.149)
Epoch: [84][10010/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.0136 (1.7922)	Prec@1 46.875 (52.909)	Prec@5 78.125 (82.147)
Epoch: [84][10020/14090]	Time 0.774 (0.766)	Data 0.001 (0.001)	Loss 1.8277 (1.7922)	Prec@1 54.688 (52.909)	Prec@5 82.031 (82.145)
Epoch: [84][10030/14090]	Time 0.723 (0.766)	Data 0.001 (0.001)	Loss 1.7830 (1.7922)	Prec@1 59.375 (52.910)	Prec@5 82.812 (82.146)
Epoch: [84][10040/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.0078 (1.7922)	Prec@1 46.875 (52.910)	Prec@5 78.906 (82.144)
Epoch: [84][10050/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 1.7369 (1.7922)	Prec@1 50.000 (52.910)	Prec@5 84.375 (82.143)
Epoch: [84][10060/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 1.7260 (1.7923)	Prec@1 53.125 (52.907)	Prec@5 82.812 (82.142)
Epoch: [84][10070/14090]	Time 0.889 (0.766)	Data 0.001 (0.001)	Loss 1.7189 (1.7923)	Prec@1 53.125 (52.908)	Prec@5 83.594 (82.142)
Epoch: [84][10080/14090]	Time 0.771 (0.766)	Data 0.001 (0.001)	Loss 1.7378 (1.7923)	Prec@1 56.250 (52.907)	Prec@5 82.812 (82.141)
Epoch: [84][10090/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 2.1911 (1.7924)	Prec@1 43.750 (52.906)	Prec@5 78.125 (82.140)
Epoch: [84][10100/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 1.7453 (1.7925)	Prec@1 54.688 (52.903)	Prec@5 85.938 (82.138)
Epoch: [84][10110/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 1.4308 (1.7924)	Prec@1 62.500 (52.904)	Prec@5 86.719 (82.139)
Epoch: [84][10120/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.1288 (1.7924)	Prec@1 42.969 (52.905)	Prec@5 78.906 (82.140)
Epoch: [84][10130/14090]	Time 0.780 (0.766)	Data 0.001 (0.001)	Loss 1.4874 (1.7924)	Prec@1 61.719 (52.905)	Prec@5 85.938 (82.140)
Epoch: [84][10140/14090]	Time 0.856 (0.766)	Data 0.001 (0.001)	Loss 1.7777 (1.7923)	Prec@1 49.219 (52.904)	Prec@5 82.031 (82.139)
Epoch: [84][10150/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.0159 (1.7923)	Prec@1 50.000 (52.904)	Prec@5 74.219 (82.138)
Epoch: [84][10160/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 1.8167 (1.7923)	Prec@1 54.688 (52.905)	Prec@5 80.469 (82.140)
Epoch: [84][10170/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 1.7952 (1.7923)	Prec@1 56.250 (52.904)	Prec@5 79.688 (82.139)
Epoch: [84][10180/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 1.8015 (1.7923)	Prec@1 53.906 (52.904)	Prec@5 81.250 (82.141)
Epoch: [84][10190/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 1.8650 (1.7923)	Prec@1 53.125 (52.904)	Prec@5 82.031 (82.141)
Epoch: [84][10200/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 1.8120 (1.7923)	Prec@1 54.688 (52.905)	Prec@5 84.375 (82.141)
Epoch: [84][10210/14090]	Time 0.833 (0.766)	Data 0.001 (0.001)	Loss 1.8446 (1.7924)	Prec@1 50.781 (52.902)	Prec@5 79.688 (82.140)
Epoch: [84][10220/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 1.6123 (1.7924)	Prec@1 57.031 (52.902)	Prec@5 84.375 (82.139)
Epoch: [84][10230/14090]	Time 0.771 (0.766)	Data 0.001 (0.001)	Loss 1.7237 (1.7925)	Prec@1 57.812 (52.898)	Prec@5 82.812 (82.139)
Epoch: [84][10240/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 1.7550 (1.7925)	Prec@1 56.250 (52.898)	Prec@5 81.250 (82.139)
Epoch: [84][10250/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.1178 (1.7924)	Prec@1 48.438 (52.898)	Prec@5 74.219 (82.139)
Epoch: [84][10260/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 1.7126 (1.7925)	Prec@1 51.562 (52.897)	Prec@5 85.156 (82.139)
Epoch: [84][10270/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 1.8713 (1.7924)	Prec@1 53.125 (52.897)	Prec@5 81.250 (82.140)
Epoch: [84][10280/14090]	Time 0.856 (0.766)	Data 0.001 (0.001)	Loss 1.5304 (1.7924)	Prec@1 53.125 (52.898)	Prec@5 87.500 (82.141)
Epoch: [84][10290/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 1.5345 (1.7923)	Prec@1 60.938 (52.900)	Prec@5 87.500 (82.142)
Epoch: [84][10300/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 1.6688 (1.7923)	Prec@1 53.125 (52.900)	Prec@5 84.375 (82.142)
Epoch: [84][10310/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 1.8724 (1.7923)	Prec@1 48.438 (52.898)	Prec@5 81.250 (82.142)
Epoch: [84][10320/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 1.6188 (1.7924)	Prec@1 54.688 (52.895)	Prec@5 85.156 (82.142)
Epoch: [84][10330/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 1.8004 (1.7924)	Prec@1 50.000 (52.894)	Prec@5 80.469 (82.142)
Epoch: [84][10340/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 2.0030 (1.7924)	Prec@1 51.562 (52.893)	Prec@5 79.688 (82.142)
Epoch: [84][10350/14090]	Time 0.869 (0.766)	Data 0.001 (0.001)	Loss 1.8712 (1.7924)	Prec@1 50.000 (52.893)	Prec@5 80.469 (82.142)
Epoch: [84][10360/14090]	Time 0.790 (0.766)	Data 0.001 (0.001)	Loss 2.0827 (1.7925)	Prec@1 48.438 (52.892)	Prec@5 78.125 (82.140)
Epoch: [84][10370/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 1.7481 (1.7925)	Prec@1 53.125 (52.893)	Prec@5 86.719 (82.141)
Epoch: [84][10380/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 1.8372 (1.7924)	Prec@1 50.000 (52.893)	Prec@5 81.250 (82.141)
Epoch: [84][10390/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 1.6124 (1.7924)	Prec@1 54.688 (52.893)	Prec@5 82.031 (82.141)
Epoch: [84][10400/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 1.8816 (1.7924)	Prec@1 51.562 (52.893)	Prec@5 79.688 (82.141)
Epoch: [84][10410/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 1.9092 (1.7925)	Prec@1 55.469 (52.891)	Prec@5 79.688 (82.141)
Epoch: [84][10420/14090]	Time 0.848 (0.766)	Data 0.001 (0.001)	Loss 1.7927 (1.7925)	Prec@1 53.125 (52.890)	Prec@5 83.594 (82.139)
Epoch: [84][10430/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 1.4839 (1.7925)	Prec@1 61.719 (52.892)	Prec@5 89.062 (82.140)
Epoch: [84][10440/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 1.8061 (1.7925)	Prec@1 53.125 (52.891)	Prec@5 82.031 (82.140)
Epoch: [84][10450/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 1.6867 (1.7925)	Prec@1 54.688 (52.891)	Prec@5 84.375 (82.141)
Epoch: [84][10460/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 1.7373 (1.7926)	Prec@1 53.125 (52.888)	Prec@5 85.156 (82.142)
Epoch: [84][10470/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 2.0801 (1.7926)	Prec@1 42.969 (52.888)	Prec@5 73.438 (82.141)
Epoch: [84][10480/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 1.7399 (1.7926)	Prec@1 49.219 (52.887)	Prec@5 83.594 (82.141)
Epoch: [84][10490/14090]	Time 0.838 (0.766)	Data 0.001 (0.001)	Loss 1.6999 (1.7926)	Prec@1 51.562 (52.886)	Prec@5 82.031 (82.140)
Epoch: [84][10500/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 2.0373 (1.7927)	Prec@1 42.969 (52.882)	Prec@5 75.781 (82.138)
Epoch: [84][10510/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.0264 (1.7928)	Prec@1 50.781 (52.882)	Prec@5 75.781 (82.136)
Epoch: [84][10520/14090]	Time 0.767 (0.766)	Data 0.001 (0.001)	Loss 1.8625 (1.7927)	Prec@1 51.562 (52.884)	Prec@5 78.125 (82.137)
Epoch: [84][10530/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 1.8520 (1.7928)	Prec@1 49.219 (52.882)	Prec@5 80.469 (82.136)
Epoch: [84][10540/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 1.8940 (1.7927)	Prec@1 48.438 (52.884)	Prec@5 87.500 (82.137)
Epoch: [84][10550/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 1.5709 (1.7928)	Prec@1 57.812 (52.883)	Prec@5 87.500 (82.138)
Epoch: [84][10560/14090]	Time 0.852 (0.766)	Data 0.001 (0.001)	Loss 1.9376 (1.7928)	Prec@1 46.875 (52.882)	Prec@5 79.688 (82.137)
Epoch: [84][10570/14090]	Time 0.779 (0.766)	Data 0.001 (0.001)	Loss 1.6359 (1.7928)	Prec@1 56.250 (52.880)	Prec@5 84.375 (82.135)
Epoch: [84][10580/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 1.5541 (1.7928)	Prec@1 56.250 (52.882)	Prec@5 88.281 (82.135)
Epoch: [84][10590/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 1.8612 (1.7928)	Prec@1 53.125 (52.882)	Prec@5 83.594 (82.133)
Epoch: [84][10600/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 1.8788 (1.7927)	Prec@1 49.219 (52.882)	Prec@5 82.031 (82.136)
Epoch: [84][10610/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 1.7943 (1.7928)	Prec@1 48.438 (52.881)	Prec@5 79.688 (82.136)
Epoch: [84][10620/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 1.8604 (1.7928)	Prec@1 52.344 (52.879)	Prec@5 82.031 (82.135)
Epoch: [84][10630/14090]	Time 0.883 (0.766)	Data 0.001 (0.001)	Loss 1.7687 (1.7927)	Prec@1 47.656 (52.881)	Prec@5 87.500 (82.138)
Epoch: [84][10640/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 1.6565 (1.7928)	Prec@1 61.719 (52.880)	Prec@5 82.031 (82.136)
Epoch: [84][10650/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 1.7142 (1.7927)	Prec@1 56.250 (52.881)	Prec@5 82.031 (82.136)
Epoch: [84][10660/14090]	Time 0.771 (0.766)	Data 0.001 (0.001)	Loss 1.7565 (1.7927)	Prec@1 53.906 (52.880)	Prec@5 82.031 (82.136)
Epoch: [84][10670/14090]	Time 0.719 (0.766)	Data 0.001 (0.001)	Loss 2.0609 (1.7928)	Prec@1 50.000 (52.879)	Prec@5 78.906 (82.135)
Epoch: [84][10680/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 1.7215 (1.7928)	Prec@1 52.344 (52.878)	Prec@5 82.812 (82.135)
Epoch: [84][10690/14090]	Time 0.778 (0.766)	Data 0.001 (0.001)	Loss 1.7208 (1.7928)	Prec@1 51.562 (52.879)	Prec@5 83.594 (82.136)
Epoch: [84][10700/14090]	Time 0.852 (0.766)	Data 0.001 (0.001)	Loss 1.7657 (1.7927)	Prec@1 57.031 (52.881)	Prec@5 78.125 (82.136)
Epoch: [84][10710/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 1.6995 (1.7927)	Prec@1 53.906 (52.880)	Prec@5 83.594 (82.136)
Epoch: [84][10720/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 1.8170 (1.7928)	Prec@1 57.031 (52.880)	Prec@5 79.688 (82.136)
Epoch: [84][10730/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 1.9076 (1.7928)	Prec@1 46.875 (52.879)	Prec@5 77.344 (82.135)
Epoch: [84][10740/14090]	Time 0.723 (0.766)	Data 0.001 (0.001)	Loss 1.8878 (1.7928)	Prec@1 47.656 (52.881)	Prec@5 82.031 (82.136)
Epoch: [84][10750/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.1776 (1.7928)	Prec@1 46.094 (52.878)	Prec@5 74.219 (82.136)
Epoch: [84][10760/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 1.6551 (1.7928)	Prec@1 52.344 (52.878)	Prec@5 86.719 (82.136)
Epoch: [84][10770/14090]	Time 0.901 (0.766)	Data 0.001 (0.001)	Loss 2.0120 (1.7928)	Prec@1 53.125 (52.877)	Prec@5 75.781 (82.136)
Epoch: [84][10780/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 1.9441 (1.7928)	Prec@1 49.219 (52.878)	Prec@5 81.250 (82.137)
Epoch: [84][10790/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 1.9520 (1.7928)	Prec@1 53.125 (52.877)	Prec@5 78.906 (82.137)
Epoch: [84][10800/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 1.5500 (1.7928)	Prec@1 60.156 (52.878)	Prec@5 85.156 (82.138)
Epoch: [84][10810/14090]	Time 0.771 (0.766)	Data 0.001 (0.001)	Loss 1.8859 (1.7928)	Prec@1 49.219 (52.878)	Prec@5 78.125 (82.138)
Epoch: [84][10820/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 1.7888 (1.7928)	Prec@1 50.000 (52.877)	Prec@5 78.125 (82.137)
Epoch: [84][10830/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 1.9756 (1.7929)	Prec@1 47.656 (52.875)	Prec@5 80.469 (82.135)
Epoch: [84][10840/14090]	Time 0.868 (0.766)	Data 0.001 (0.001)	Loss 1.6988 (1.7928)	Prec@1 56.250 (52.875)	Prec@5 78.125 (82.135)
Epoch: [84][10850/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 1.5605 (1.7928)	Prec@1 57.812 (52.874)	Prec@5 85.156 (82.136)
Epoch: [84][10860/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 1.9731 (1.7928)	Prec@1 46.875 (52.875)	Prec@5 78.906 (82.136)
Epoch: [84][10870/14090]	Time 0.779 (0.766)	Data 0.001 (0.001)	Loss 1.7981 (1.7929)	Prec@1 47.656 (52.874)	Prec@5 88.281 (82.136)
Epoch: [84][10880/14090]	Time 0.769 (0.766)	Data 0.001 (0.001)	Loss 1.9199 (1.7929)	Prec@1 50.000 (52.871)	Prec@5 82.812 (82.136)
Epoch: [84][10890/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 1.6446 (1.7929)	Prec@1 51.562 (52.871)	Prec@5 85.156 (82.136)
Epoch: [84][10900/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 1.7959 (1.7929)	Prec@1 53.906 (52.869)	Prec@5 82.031 (82.136)
Epoch: [84][10910/14090]	Time 0.882 (0.766)	Data 0.001 (0.001)	Loss 1.9444 (1.7929)	Prec@1 49.219 (52.870)	Prec@5 80.469 (82.138)
Epoch: [84][10920/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 1.9436 (1.7929)	Prec@1 51.562 (52.869)	Prec@5 77.344 (82.137)
Epoch: [84][10930/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 1.9639 (1.7930)	Prec@1 55.469 (52.870)	Prec@5 76.562 (82.136)
Epoch: [84][10940/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 1.8185 (1.7930)	Prec@1 49.219 (52.868)	Prec@5 79.688 (82.136)
Epoch: [84][10950/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 1.8587 (1.7930)	Prec@1 50.781 (52.866)	Prec@5 82.031 (82.135)
Epoch: [84][10960/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 1.7572 (1.7930)	Prec@1 55.469 (52.867)	Prec@5 80.469 (82.136)
Epoch: [84][10970/14090]	Time 0.777 (0.766)	Data 0.001 (0.001)	Loss 2.0211 (1.7930)	Prec@1 50.781 (52.869)	Prec@5 74.219 (82.136)
Epoch: [84][10980/14090]	Time 0.858 (0.766)	Data 0.001 (0.001)	Loss 1.7823 (1.7930)	Prec@1 55.469 (52.867)	Prec@5 79.688 (82.134)
Epoch: [84][10990/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 1.6925 (1.7930)	Prec@1 53.125 (52.867)	Prec@5 83.594 (82.134)
Epoch: [84][11000/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 1.5373 (1.7931)	Prec@1 62.500 (52.866)	Prec@5 85.938 (82.135)
Epoch: [84][11010/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 1.5696 (1.7931)	Prec@1 54.688 (52.865)	Prec@5 85.156 (82.135)
Epoch: [84][11020/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 1.6535 (1.7931)	Prec@1 54.688 (52.866)	Prec@5 83.594 (82.136)
Epoch: [84][11030/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 1.6794 (1.7930)	Prec@1 55.469 (52.868)	Prec@5 89.062 (82.137)
Epoch: [84][11040/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 1.5627 (1.7930)	Prec@1 59.375 (52.869)	Prec@5 88.281 (82.138)
Epoch: [84][11050/14090]	Time 0.901 (0.766)	Data 0.001 (0.001)	Loss 1.8724 (1.7929)	Prec@1 52.344 (52.870)	Prec@5 82.031 (82.139)
Epoch: [84][11060/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 1.7060 (1.7929)	Prec@1 57.031 (52.870)	Prec@5 85.938 (82.140)
Epoch: [84][11070/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 1.9707 (1.7930)	Prec@1 50.000 (52.869)	Prec@5 77.344 (82.138)
Epoch: [84][11080/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 1.8384 (1.7931)	Prec@1 57.031 (52.868)	Prec@5 80.469 (82.137)
Epoch: [84][11090/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 1.8947 (1.7931)	Prec@1 49.219 (52.867)	Prec@5 82.031 (82.137)
Epoch: [84][11100/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 1.8023 (1.7931)	Prec@1 54.688 (52.867)	Prec@5 83.594 (82.137)
Epoch: [84][11110/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 1.8402 (1.7932)	Prec@1 53.906 (52.864)	Prec@5 82.031 (82.137)
Epoch: [84][11120/14090]	Time 0.893 (0.766)	Data 0.001 (0.001)	Loss 2.0784 (1.7932)	Prec@1 44.531 (52.866)	Prec@5 79.688 (82.138)
Epoch: [84][11130/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 1.8991 (1.7932)	Prec@1 46.094 (52.866)	Prec@5 82.031 (82.137)
Epoch: [84][11140/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.0534 (1.7933)	Prec@1 45.312 (52.864)	Prec@5 81.250 (82.137)
Epoch: [84][11150/14090]	Time 0.774 (0.766)	Data 0.001 (0.001)	Loss 1.7878 (1.7934)	Prec@1 54.688 (52.862)	Prec@5 82.031 (82.135)
Epoch: [84][11160/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 1.7054 (1.7934)	Prec@1 50.781 (52.863)	Prec@5 86.719 (82.135)
Epoch: [84][11170/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 1.8015 (1.7934)	Prec@1 50.781 (52.862)	Prec@5 85.938 (82.136)
Epoch: [84][11180/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 1.6359 (1.7934)	Prec@1 57.031 (52.862)	Prec@5 86.719 (82.136)
Epoch: [84][11190/14090]	Time 0.911 (0.766)	Data 0.001 (0.001)	Loss 1.8681 (1.7934)	Prec@1 51.562 (52.862)	Prec@5 81.250 (82.137)
Epoch: [84][11200/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 1.6758 (1.7934)	Prec@1 56.250 (52.862)	Prec@5 80.469 (82.137)
Epoch: [84][11210/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 1.8460 (1.7934)	Prec@1 52.344 (52.863)	Prec@5 84.375 (82.137)
Epoch: [84][11220/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 1.7976 (1.7933)	Prec@1 57.812 (52.865)	Prec@5 80.469 (82.137)
Epoch: [84][11230/14090]	Time 0.765 (0.766)	Data 0.001 (0.001)	Loss 1.8220 (1.7934)	Prec@1 56.250 (52.863)	Prec@5 82.031 (82.135)
Epoch: [84][11240/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 1.8522 (1.7935)	Prec@1 50.000 (52.862)	Prec@5 80.469 (82.135)
Epoch: [84][11250/14090]	Time 0.720 (0.766)	Data 0.001 (0.001)	Loss 1.6513 (1.7935)	Prec@1 55.469 (52.861)	Prec@5 85.156 (82.135)
Epoch: [84][11260/14090]	Time 0.862 (0.766)	Data 0.001 (0.001)	Loss 1.8564 (1.7936)	Prec@1 53.906 (52.859)	Prec@5 82.031 (82.134)
Epoch: [84][11270/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 1.7556 (1.7936)	Prec@1 49.219 (52.859)	Prec@5 85.938 (82.133)
Epoch: [84][11280/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 1.8408 (1.7936)	Prec@1 50.781 (52.860)	Prec@5 82.812 (82.134)
Epoch: [84][11290/14090]	Time 0.773 (0.766)	Data 0.001 (0.001)	Loss 1.8444 (1.7936)	Prec@1 54.688 (52.862)	Prec@5 82.812 (82.135)
Epoch: [84][11300/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 1.8185 (1.7937)	Prec@1 46.875 (52.860)	Prec@5 82.812 (82.133)
Epoch: [84][11310/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 1.8475 (1.7937)	Prec@1 48.438 (52.859)	Prec@5 80.469 (82.133)
Epoch: [84][11320/14090]	Time 0.775 (0.766)	Data 0.001 (0.001)	Loss 1.7939 (1.7937)	Prec@1 53.906 (52.859)	Prec@5 82.812 (82.133)
Epoch: [84][11330/14090]	Time 0.871 (0.766)	Data 0.001 (0.001)	Loss 1.8740 (1.7937)	Prec@1 51.562 (52.859)	Prec@5 78.125 (82.131)
Epoch: [84][11340/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.2005 (1.7938)	Prec@1 42.188 (52.857)	Prec@5 77.344 (82.130)
Epoch: [84][11350/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 1.8227 (1.7938)	Prec@1 53.906 (52.855)	Prec@5 81.250 (82.130)
Epoch: [84][11360/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 1.9300 (1.7939)	Prec@1 54.688 (52.853)	Prec@5 76.562 (82.128)
Epoch: [84][11370/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 1.8101 (1.7939)	Prec@1 54.688 (52.854)	Prec@5 83.594 (82.128)
Epoch: [84][11380/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 1.5289 (1.7938)	Prec@1 61.719 (52.856)	Prec@5 86.719 (82.129)
Epoch: [84][11390/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 1.6319 (1.7938)	Prec@1 55.469 (52.856)	Prec@5 85.156 (82.131)
Epoch: [84][11400/14090]	Time 0.894 (0.766)	Data 0.001 (0.001)	Loss 1.8676 (1.7937)	Prec@1 46.875 (52.856)	Prec@5 83.594 (82.133)
Epoch: [84][11410/14090]	Time 0.774 (0.766)	Data 0.001 (0.001)	Loss 1.8871 (1.7938)	Prec@1 57.812 (52.857)	Prec@5 82.031 (82.133)
Epoch: [84][11420/14090]	Time 0.724 (0.766)	Data 0.001 (0.001)	Loss 1.7007 (1.7938)	Prec@1 58.594 (52.857)	Prec@5 82.031 (82.132)
Epoch: [84][11430/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 1.8273 (1.7938)	Prec@1 50.781 (52.856)	Prec@5 82.031 (82.132)
Epoch: [84][11440/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 1.8717 (1.7938)	Prec@1 55.469 (52.857)	Prec@5 82.031 (82.131)
Epoch: [84][11450/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 1.8486 (1.7939)	Prec@1 51.562 (52.853)	Prec@5 82.031 (82.129)
Epoch: [84][11460/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 1.8477 (1.7939)	Prec@1 48.438 (52.854)	Prec@5 81.250 (82.130)
Epoch: [84][11470/14090]	Time 0.879 (0.766)	Data 0.001 (0.001)	Loss 1.9547 (1.7938)	Prec@1 48.438 (52.855)	Prec@5 80.469 (82.132)
Epoch: [84][11480/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 1.7218 (1.7939)	Prec@1 55.469 (52.853)	Prec@5 82.031 (82.132)
Epoch: [84][11490/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 1.7038 (1.7939)	Prec@1 56.250 (52.853)	Prec@5 82.812 (82.131)
Epoch: [84][11500/14090]	Time 0.723 (0.766)	Data 0.001 (0.001)	Loss 1.6265 (1.7939)	Prec@1 55.469 (52.852)	Prec@5 82.812 (82.130)
Epoch: [84][11510/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 1.7477 (1.7940)	Prec@1 51.562 (52.852)	Prec@5 81.250 (82.130)
Epoch: [84][11520/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 1.8573 (1.7940)	Prec@1 51.562 (52.851)	Prec@5 79.688 (82.128)
Epoch: [84][11530/14090]	Time 0.793 (0.766)	Data 0.001 (0.001)	Loss 1.9984 (1.7940)	Prec@1 49.219 (52.851)	Prec@5 77.344 (82.127)
Epoch: [84][11540/14090]	Time 0.839 (0.766)	Data 0.001 (0.001)	Loss 1.6691 (1.7940)	Prec@1 59.375 (52.851)	Prec@5 83.594 (82.126)
Epoch: [84][11550/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 1.7586 (1.7940)	Prec@1 50.781 (52.852)	Prec@5 81.250 (82.128)
Epoch: [84][11560/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 1.9661 (1.7940)	Prec@1 52.344 (52.851)	Prec@5 78.125 (82.127)
Epoch: [84][11570/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 1.6362 (1.7940)	Prec@1 54.688 (52.850)	Prec@5 85.156 (82.128)
Epoch: [84][11580/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 2.1974 (1.7940)	Prec@1 46.094 (52.850)	Prec@5 78.906 (82.129)
Epoch: [84][11590/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 1.9437 (1.7940)	Prec@1 47.656 (52.850)	Prec@5 79.688 (82.129)
Epoch: [84][11600/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 1.9003 (1.7941)	Prec@1 53.125 (52.851)	Prec@5 79.688 (82.128)
Epoch: [84][11610/14090]	Time 0.878 (0.766)	Data 0.001 (0.001)	Loss 1.7820 (1.7941)	Prec@1 53.125 (52.851)	Prec@5 84.375 (82.128)
Epoch: [84][11620/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 1.6851 (1.7940)	Prec@1 57.031 (52.852)	Prec@5 84.375 (82.128)
Epoch: [84][11630/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 2.1686 (1.7941)	Prec@1 43.750 (52.850)	Prec@5 75.000 (82.126)
Epoch: [84][11640/14090]	Time 0.733 (0.766)	Data 0.002 (0.001)	Loss 1.5368 (1.7942)	Prec@1 57.031 (52.850)	Prec@5 84.375 (82.125)
Epoch: [84][11650/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 1.6810 (1.7942)	Prec@1 57.031 (52.849)	Prec@5 84.375 (82.125)
Epoch: [84][11660/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 1.9671 (1.7942)	Prec@1 47.656 (52.849)	Prec@5 82.031 (82.124)
Epoch: [84][11670/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 1.9141 (1.7941)	Prec@1 53.125 (52.849)	Prec@5 78.906 (82.125)
Epoch: [84][11680/14090]	Time 0.877 (0.766)	Data 0.001 (0.001)	Loss 1.9208 (1.7942)	Prec@1 46.875 (52.849)	Prec@5 79.688 (82.125)
Epoch: [84][11690/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 1.7425 (1.7942)	Prec@1 57.812 (52.851)	Prec@5 82.812 (82.127)
Epoch: [84][11700/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 2.1011 (1.7942)	Prec@1 50.000 (52.851)	Prec@5 77.344 (82.126)
Epoch: [84][11710/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.1117 (1.7942)	Prec@1 49.219 (52.850)	Prec@5 78.906 (82.126)
Epoch: [84][11720/14090]	Time 0.779 (0.766)	Data 0.001 (0.001)	Loss 1.6149 (1.7942)	Prec@1 51.562 (52.852)	Prec@5 88.281 (82.127)
Epoch: [84][11730/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 1.7624 (1.7942)	Prec@1 55.469 (52.851)	Prec@5 83.594 (82.127)
Epoch: [84][11740/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 1.7619 (1.7941)	Prec@1 57.031 (52.852)	Prec@5 80.469 (82.127)
Epoch: [84][11750/14090]	Time 0.889 (0.766)	Data 0.001 (0.001)	Loss 1.8017 (1.7942)	Prec@1 50.000 (52.850)	Prec@5 85.156 (82.126)
Epoch: [84][11760/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 1.6855 (1.7943)	Prec@1 58.594 (52.848)	Prec@5 80.469 (82.123)
Epoch: [84][11770/14090]	Time 0.758 (0.766)	Data 0.002 (0.001)	Loss 1.9069 (1.7944)	Prec@1 49.219 (52.846)	Prec@5 81.250 (82.123)
Epoch: [84][11780/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 1.6968 (1.7944)	Prec@1 54.688 (52.846)	Prec@5 84.375 (82.124)
Epoch: [84][11790/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 1.9665 (1.7944)	Prec@1 53.906 (52.846)	Prec@5 77.344 (82.124)
Epoch: [84][11800/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 2.0370 (1.7944)	Prec@1 42.969 (52.845)	Prec@5 78.906 (82.124)
Epoch: [84][11810/14090]	Time 0.777 (0.766)	Data 0.001 (0.001)	Loss 1.6523 (1.7944)	Prec@1 56.250 (52.846)	Prec@5 82.812 (82.123)
Epoch: [84][11820/14090]	Time 0.859 (0.766)	Data 0.001 (0.001)	Loss 1.9613 (1.7945)	Prec@1 44.531 (52.846)	Prec@5 78.125 (82.122)
Epoch: [84][11830/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 1.5530 (1.7945)	Prec@1 51.562 (52.843)	Prec@5 86.719 (82.122)
Epoch: [84][11840/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 1.9033 (1.7945)	Prec@1 48.438 (52.844)	Prec@5 82.812 (82.123)
Epoch: [84][11850/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 1.7778 (1.7945)	Prec@1 59.375 (52.843)	Prec@5 77.344 (82.121)
Epoch: [84][11860/14090]	Time 0.774 (0.766)	Data 0.001 (0.001)	Loss 1.9607 (1.7946)	Prec@1 50.000 (52.842)	Prec@5 77.344 (82.120)
Epoch: [84][11870/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 2.0955 (1.7947)	Prec@1 45.312 (52.841)	Prec@5 76.562 (82.120)
Epoch: [84][11880/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 1.7482 (1.7947)	Prec@1 55.469 (52.841)	Prec@5 85.156 (82.119)
Epoch: [84][11890/14090]	Time 0.905 (0.766)	Data 0.001 (0.001)	Loss 1.5546 (1.7947)	Prec@1 62.500 (52.842)	Prec@5 85.156 (82.119)
Epoch: [84][11900/14090]	Time 0.765 (0.766)	Data 0.001 (0.001)	Loss 1.8003 (1.7947)	Prec@1 53.906 (52.842)	Prec@5 80.469 (82.119)
Epoch: [84][11910/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 1.9784 (1.7947)	Prec@1 47.656 (52.841)	Prec@5 77.344 (82.118)
Epoch: [84][11920/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 1.9098 (1.7948)	Prec@1 51.562 (52.840)	Prec@5 79.688 (82.117)
Epoch: [84][11930/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 1.8213 (1.7948)	Prec@1 52.344 (52.838)	Prec@5 79.688 (82.117)
Epoch: [84][11940/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 1.8205 (1.7948)	Prec@1 52.344 (52.836)	Prec@5 78.906 (82.116)
Epoch: [84][11950/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 1.9819 (1.7949)	Prec@1 53.125 (52.834)	Prec@5 78.125 (82.115)
Epoch: [84][11960/14090]	Time 0.877 (0.766)	Data 0.001 (0.001)	Loss 1.4811 (1.7949)	Prec@1 55.469 (52.834)	Prec@5 89.844 (82.116)
Epoch: [84][11970/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 1.9413 (1.7950)	Prec@1 53.125 (52.835)	Prec@5 81.250 (82.115)
Epoch: [84][11980/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 1.7676 (1.7949)	Prec@1 52.344 (52.835)	Prec@5 82.812 (82.115)
Epoch: [84][11990/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 1.8626 (1.7949)	Prec@1 47.656 (52.834)	Prec@5 82.031 (82.116)
Epoch: [84][12000/14090]	Time 0.801 (0.766)	Data 0.001 (0.001)	Loss 1.9081 (1.7949)	Prec@1 48.438 (52.833)	Prec@5 81.250 (82.116)
Epoch: [84][12010/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 1.9245 (1.7949)	Prec@1 53.906 (52.833)	Prec@5 79.688 (82.116)
Epoch: [84][12020/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 1.7953 (1.7949)	Prec@1 57.812 (52.833)	Prec@5 82.031 (82.117)
Epoch: [84][12030/14090]	Time 0.854 (0.766)	Data 0.001 (0.001)	Loss 1.9956 (1.7949)	Prec@1 50.000 (52.833)	Prec@5 76.562 (82.117)
Epoch: [84][12040/14090]	Time 0.779 (0.766)	Data 0.001 (0.001)	Loss 2.0838 (1.7949)	Prec@1 45.312 (52.832)	Prec@5 82.031 (82.117)
Epoch: [84][12050/14090]	Time 0.777 (0.766)	Data 0.001 (0.001)	Loss 2.0509 (1.7950)	Prec@1 50.781 (52.830)	Prec@5 78.125 (82.116)
Epoch: [84][12060/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.0623 (1.7950)	Prec@1 48.438 (52.831)	Prec@5 76.562 (82.115)
Epoch: [84][12070/14090]	Time 0.775 (0.766)	Data 0.001 (0.001)	Loss 1.6785 (1.7950)	Prec@1 57.812 (52.834)	Prec@5 85.156 (82.116)
Epoch: [84][12080/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 1.8582 (1.7950)	Prec@1 50.000 (52.833)	Prec@5 83.594 (82.116)
Epoch: [84][12090/14090]	Time 0.786 (0.766)	Data 0.001 (0.001)	Loss 2.1062 (1.7951)	Prec@1 50.000 (52.832)	Prec@5 77.344 (82.115)
Epoch: [84][12100/14090]	Time 0.861 (0.766)	Data 0.001 (0.001)	Loss 1.7722 (1.7950)	Prec@1 54.688 (52.834)	Prec@5 83.594 (82.115)
Epoch: [84][12110/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 1.8007 (1.7950)	Prec@1 51.562 (52.833)	Prec@5 83.594 (82.115)
Epoch: [84][12120/14090]	Time 0.777 (0.766)	Data 0.001 (0.001)	Loss 1.6770 (1.7950)	Prec@1 53.125 (52.833)	Prec@5 82.812 (82.116)
Epoch: [84][12130/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 1.6619 (1.7950)	Prec@1 57.812 (52.835)	Prec@5 79.688 (82.116)
Epoch: [84][12140/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 1.6247 (1.7950)	Prec@1 53.125 (52.834)	Prec@5 86.719 (82.115)
Epoch: [84][12150/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 2.1981 (1.7950)	Prec@1 52.344 (52.833)	Prec@5 75.000 (82.114)
Epoch: [84][12160/14090]	Time 0.773 (0.766)	Data 0.001 (0.001)	Loss 1.8509 (1.7950)	Prec@1 53.906 (52.834)	Prec@5 80.469 (82.114)
Epoch: [84][12170/14090]	Time 0.885 (0.766)	Data 0.001 (0.001)	Loss 1.8108 (1.7950)	Prec@1 58.594 (52.835)	Prec@5 80.469 (82.114)
Epoch: [84][12180/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.0113 (1.7950)	Prec@1 46.094 (52.834)	Prec@5 79.688 (82.114)
Epoch: [84][12190/14090]	Time 0.722 (0.766)	Data 0.001 (0.001)	Loss 1.9153 (1.7950)	Prec@1 49.219 (52.835)	Prec@5 78.125 (82.114)
Epoch: [84][12200/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 1.7177 (1.7950)	Prec@1 57.031 (52.835)	Prec@5 86.719 (82.115)
Epoch: [84][12210/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 1.9245 (1.7950)	Prec@1 50.000 (52.834)	Prec@5 82.031 (82.114)
Epoch: [84][12220/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 1.9094 (1.7950)	Prec@1 48.438 (52.835)	Prec@5 83.594 (82.113)
Epoch: [84][12230/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 1.5558 (1.7949)	Prec@1 59.375 (52.838)	Prec@5 85.938 (82.115)
Epoch: [84][12240/14090]	Time 0.879 (0.766)	Data 0.001 (0.001)	Loss 1.9480 (1.7950)	Prec@1 53.125 (52.838)	Prec@5 77.344 (82.115)
Epoch: [84][12250/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 1.5680 (1.7950)	Prec@1 50.781 (52.836)	Prec@5 83.594 (82.115)
Epoch: [84][12260/14090]	Time 0.767 (0.766)	Data 0.001 (0.001)	Loss 1.7429 (1.7950)	Prec@1 55.469 (52.836)	Prec@5 83.594 (82.115)
Epoch: [84][12270/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 1.6081 (1.7950)	Prec@1 56.250 (52.838)	Prec@5 83.594 (82.115)
Epoch: [84][12280/14090]	Time 0.758 (0.766)	Data 0.001 (0.001)	Loss 1.8915 (1.7950)	Prec@1 49.219 (52.837)	Prec@5 78.906 (82.115)
Epoch: [84][12290/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 1.7678 (1.7950)	Prec@1 54.688 (52.837)	Prec@5 82.031 (82.114)
Epoch: [84][12300/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 1.9345 (1.7950)	Prec@1 46.094 (52.837)	Prec@5 82.812 (82.114)
Epoch: [84][12310/14090]	Time 0.902 (0.766)	Data 0.001 (0.001)	Loss 1.5885 (1.7950)	Prec@1 53.125 (52.837)	Prec@5 86.719 (82.113)
Epoch: [84][12320/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 2.1200 (1.7951)	Prec@1 45.312 (52.834)	Prec@5 80.469 (82.112)
Epoch: [84][12330/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 1.7513 (1.7950)	Prec@1 51.562 (52.835)	Prec@5 81.250 (82.113)
Epoch: [84][12340/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 1.5268 (1.7950)	Prec@1 54.688 (52.834)	Prec@5 90.625 (82.113)
Epoch: [84][12350/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 1.9161 (1.7950)	Prec@1 46.875 (52.835)	Prec@5 83.594 (82.114)
Epoch: [84][12360/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 2.0393 (1.7950)	Prec@1 50.000 (52.835)	Prec@5 79.688 (82.114)
Epoch: [84][12370/14090]	Time 0.772 (0.766)	Data 0.001 (0.001)	Loss 2.0219 (1.7950)	Prec@1 47.656 (52.835)	Prec@5 78.906 (82.114)
Epoch: [84][12380/14090]	Time 0.861 (0.766)	Data 0.001 (0.001)	Loss 1.7584 (1.7950)	Prec@1 53.125 (52.836)	Prec@5 82.812 (82.113)
Epoch: [84][12390/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 1.9249 (1.7950)	Prec@1 45.312 (52.836)	Prec@5 85.938 (82.114)
Epoch: [84][12400/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 1.8777 (1.7950)	Prec@1 48.438 (52.838)	Prec@5 83.594 (82.114)
Epoch: [84][12410/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 1.6016 (1.7950)	Prec@1 63.281 (52.838)	Prec@5 83.594 (82.113)
Epoch: [84][12420/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 1.8177 (1.7950)	Prec@1 54.688 (52.838)	Prec@5 81.250 (82.113)
Epoch: [84][12430/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 1.8238 (1.7951)	Prec@1 43.750 (52.835)	Prec@5 81.250 (82.112)
Epoch: [84][12440/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 2.0625 (1.7951)	Prec@1 46.094 (52.834)	Prec@5 79.688 (82.111)
Epoch: [84][12450/14090]	Time 0.862 (0.766)	Data 0.001 (0.001)	Loss 2.0503 (1.7951)	Prec@1 46.875 (52.834)	Prec@5 77.344 (82.112)
Epoch: [84][12460/14090]	Time 0.740 (0.766)	Data 0.001 (0.001)	Loss 2.0325 (1.7951)	Prec@1 50.781 (52.834)	Prec@5 75.781 (82.111)
Epoch: [84][12470/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 1.9120 (1.7951)	Prec@1 50.781 (52.835)	Prec@5 83.594 (82.112)
Epoch: [84][12480/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 1.9535 (1.7951)	Prec@1 45.312 (52.834)	Prec@5 78.906 (82.110)
Epoch: [84][12490/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 1.8271 (1.7952)	Prec@1 52.344 (52.834)	Prec@5 83.594 (82.110)
Epoch: [84][12500/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 1.6509 (1.7952)	Prec@1 56.250 (52.834)	Prec@5 83.594 (82.110)
Epoch: [84][12510/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 1.9849 (1.7952)	Prec@1 50.000 (52.835)	Prec@5 77.344 (82.109)
Epoch: [84][12520/14090]	Time 0.862 (0.766)	Data 0.001 (0.001)	Loss 1.7076 (1.7952)	Prec@1 53.906 (52.836)	Prec@5 82.812 (82.109)
Epoch: [84][12530/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 1.6685 (1.7952)	Prec@1 56.250 (52.835)	Prec@5 82.812 (82.110)
Epoch: [84][12540/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 1.6954 (1.7952)	Prec@1 56.250 (52.835)	Prec@5 85.938 (82.110)
Epoch: [84][12550/14090]	Time 0.722 (0.766)	Data 0.001 (0.001)	Loss 1.7370 (1.7952)	Prec@1 53.125 (52.835)	Prec@5 82.031 (82.109)
Epoch: [84][12560/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 1.6122 (1.7952)	Prec@1 59.375 (52.835)	Prec@5 82.812 (82.109)
Epoch: [84][12570/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 1.8942 (1.7952)	Prec@1 51.562 (52.835)	Prec@5 82.812 (82.107)
Epoch: [84][12580/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 1.7852 (1.7952)	Prec@1 53.906 (52.835)	Prec@5 81.250 (82.107)
Epoch: [84][12590/14090]	Time 0.858 (0.766)	Data 0.001 (0.001)	Loss 1.7973 (1.7953)	Prec@1 53.125 (52.834)	Prec@5 81.250 (82.106)
Epoch: [84][12600/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 1.9641 (1.7953)	Prec@1 49.219 (52.834)	Prec@5 78.125 (82.106)
Epoch: [84][12610/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 1.7342 (1.7953)	Prec@1 54.688 (52.834)	Prec@5 82.812 (82.106)
Epoch: [84][12620/14090]	Time 0.724 (0.766)	Data 0.001 (0.001)	Loss 1.7609 (1.7954)	Prec@1 53.906 (52.832)	Prec@5 81.250 (82.106)
Epoch: [84][12630/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 2.0366 (1.7954)	Prec@1 43.750 (52.831)	Prec@5 77.344 (82.105)
Epoch: [84][12640/14090]	Time 0.750 (0.766)	Data 0.001 (0.001)	Loss 1.7821 (1.7955)	Prec@1 52.344 (52.829)	Prec@5 86.719 (82.105)
Epoch: [84][12650/14090]	Time 0.767 (0.766)	Data 0.001 (0.001)	Loss 1.6337 (1.7956)	Prec@1 52.344 (52.827)	Prec@5 84.375 (82.103)
Epoch: [84][12660/14090]	Time 0.884 (0.766)	Data 0.001 (0.001)	Loss 1.9165 (1.7956)	Prec@1 53.125 (52.828)	Prec@5 76.562 (82.102)
Epoch: [84][12670/14090]	Time 0.783 (0.766)	Data 0.001 (0.001)	Loss 1.8195 (1.7956)	Prec@1 52.344 (52.829)	Prec@5 82.812 (82.102)
Epoch: [84][12680/14090]	Time 0.765 (0.766)	Data 0.001 (0.001)	Loss 1.6116 (1.7956)	Prec@1 57.812 (52.829)	Prec@5 89.062 (82.103)
Epoch: [84][12690/14090]	Time 0.724 (0.766)	Data 0.001 (0.001)	Loss 1.9024 (1.7956)	Prec@1 50.781 (52.828)	Prec@5 81.250 (82.101)
Epoch: [84][12700/14090]	Time 0.768 (0.766)	Data 0.001 (0.001)	Loss 1.6826 (1.7957)	Prec@1 56.250 (52.827)	Prec@5 82.812 (82.100)
Epoch: [84][12710/14090]	Time 0.732 (0.766)	Data 0.001 (0.001)	Loss 2.0566 (1.7957)	Prec@1 43.750 (52.828)	Prec@5 75.781 (82.099)
Epoch: [84][12720/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 1.5997 (1.7958)	Prec@1 57.812 (52.827)	Prec@5 87.500 (82.099)
Epoch: [84][12730/14090]	Time 0.872 (0.766)	Data 0.001 (0.001)	Loss 1.8042 (1.7958)	Prec@1 50.000 (52.827)	Prec@5 81.250 (82.097)
Epoch: [84][12740/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 1.9146 (1.7959)	Prec@1 49.219 (52.827)	Prec@5 78.125 (82.096)
Epoch: [84][12750/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 1.6347 (1.7959)	Prec@1 53.125 (52.825)	Prec@5 85.938 (82.096)
Epoch: [84][12760/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 1.7148 (1.7959)	Prec@1 58.594 (52.825)	Prec@5 83.594 (82.095)
Epoch: [84][12770/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 1.9443 (1.7960)	Prec@1 46.094 (52.824)	Prec@5 81.250 (82.095)
Epoch: [84][12780/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 1.7072 (1.7960)	Prec@1 56.250 (52.825)	Prec@5 79.688 (82.095)
Epoch: [84][12790/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 1.6636 (1.7960)	Prec@1 59.375 (52.826)	Prec@5 84.375 (82.095)
Epoch: [84][12800/14090]	Time 0.864 (0.766)	Data 0.001 (0.001)	Loss 1.7971 (1.7960)	Prec@1 55.469 (52.826)	Prec@5 82.031 (82.095)
Epoch: [84][12810/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 1.7906 (1.7960)	Prec@1 53.125 (52.824)	Prec@5 81.250 (82.094)
Epoch: [84][12820/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 1.6340 (1.7960)	Prec@1 61.719 (52.825)	Prec@5 83.594 (82.093)
Epoch: [84][12830/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 1.5169 (1.7960)	Prec@1 63.281 (52.826)	Prec@5 85.156 (82.093)
Epoch: [84][12840/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 2.0627 (1.7960)	Prec@1 46.875 (52.826)	Prec@5 77.344 (82.094)
Epoch: [84][12850/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 1.6859 (1.7961)	Prec@1 55.469 (52.825)	Prec@5 83.594 (82.092)
Epoch: [84][12860/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 1.8063 (1.7961)	Prec@1 48.438 (52.822)	Prec@5 83.594 (82.092)
Epoch: [84][12870/14090]	Time 0.836 (0.766)	Data 0.001 (0.001)	Loss 1.9903 (1.7960)	Prec@1 49.219 (52.823)	Prec@5 83.594 (82.092)
Epoch: [84][12880/14090]	Time 0.766 (0.766)	Data 0.001 (0.001)	Loss 1.9887 (1.7960)	Prec@1 46.875 (52.825)	Prec@5 78.906 (82.093)
Epoch: [84][12890/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 1.8492 (1.7960)	Prec@1 57.812 (52.825)	Prec@5 79.688 (82.092)
Epoch: [84][12900/14090]	Time 0.763 (0.766)	Data 0.001 (0.001)	Loss 1.7165 (1.7960)	Prec@1 54.688 (52.824)	Prec@5 79.688 (82.092)
Epoch: [84][12910/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 1.7764 (1.7961)	Prec@1 55.469 (52.823)	Prec@5 80.469 (82.091)
Epoch: [84][12920/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 1.6565 (1.7960)	Prec@1 59.375 (52.826)	Prec@5 82.812 (82.091)
Epoch: [84][12930/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 1.9408 (1.7960)	Prec@1 52.344 (52.825)	Prec@5 78.125 (82.091)
Epoch: [84][12940/14090]	Time 0.814 (0.766)	Data 0.001 (0.001)	Loss 1.8197 (1.7960)	Prec@1 49.219 (52.825)	Prec@5 83.594 (82.091)
Epoch: [84][12950/14090]	Time 0.774 (0.766)	Data 0.001 (0.001)	Loss 1.7347 (1.7961)	Prec@1 50.781 (52.824)	Prec@5 83.594 (82.092)
Epoch: [84][12960/14090]	Time 0.768 (0.766)	Data 0.001 (0.001)	Loss 1.6443 (1.7960)	Prec@1 58.594 (52.824)	Prec@5 83.594 (82.092)
Epoch: [84][12970/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 1.7445 (1.7961)	Prec@1 54.688 (52.822)	Prec@5 81.250 (82.090)
Epoch: [84][12980/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 1.7003 (1.7961)	Prec@1 57.812 (52.821)	Prec@5 84.375 (82.090)
Epoch: [84][12990/14090]	Time 0.722 (0.766)	Data 0.001 (0.001)	Loss 1.7198 (1.7961)	Prec@1 54.688 (52.821)	Prec@5 84.375 (82.089)
Epoch: [84][13000/14090]	Time 0.783 (0.766)	Data 0.001 (0.001)	Loss 1.6518 (1.7961)	Prec@1 55.469 (52.822)	Prec@5 83.594 (82.089)
Epoch: [84][13010/14090]	Time 0.834 (0.766)	Data 0.001 (0.001)	Loss 1.9694 (1.7961)	Prec@1 51.562 (52.822)	Prec@5 80.469 (82.088)
Epoch: [84][13020/14090]	Time 0.770 (0.766)	Data 0.001 (0.001)	Loss 1.9096 (1.7961)	Prec@1 53.125 (52.823)	Prec@5 84.375 (82.090)
Epoch: [84][13030/14090]	Time 0.770 (0.766)	Data 0.001 (0.001)	Loss 1.6292 (1.7961)	Prec@1 54.688 (52.822)	Prec@5 82.031 (82.090)
Epoch: [84][13040/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 1.8895 (1.7961)	Prec@1 49.219 (52.821)	Prec@5 80.469 (82.089)
Epoch: [84][13050/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 1.5988 (1.7961)	Prec@1 57.031 (52.822)	Prec@5 84.375 (82.088)
Epoch: [84][13060/14090]	Time 0.748 (0.766)	Data 0.001 (0.001)	Loss 1.7562 (1.7961)	Prec@1 48.438 (52.821)	Prec@5 84.375 (82.088)
Epoch: [84][13070/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 1.7918 (1.7960)	Prec@1 51.562 (52.821)	Prec@5 85.156 (82.088)
Epoch: [84][13080/14090]	Time 0.869 (0.766)	Data 0.001 (0.001)	Loss 1.7710 (1.7961)	Prec@1 51.562 (52.819)	Prec@5 84.375 (82.088)
Epoch: [84][13090/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 1.9226 (1.7961)	Prec@1 51.562 (52.818)	Prec@5 82.812 (82.088)
Epoch: [84][13100/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 1.6540 (1.7961)	Prec@1 54.688 (52.820)	Prec@5 85.938 (82.089)
Epoch: [84][13110/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 1.8830 (1.7961)	Prec@1 51.562 (52.819)	Prec@5 83.594 (82.089)
Epoch: [84][13120/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 2.0665 (1.7961)	Prec@1 51.562 (52.819)	Prec@5 76.562 (82.089)
Epoch: [84][13130/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 1.9791 (1.7961)	Prec@1 47.656 (52.819)	Prec@5 79.688 (82.090)
Epoch: [84][13140/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 1.8488 (1.7962)	Prec@1 51.562 (52.816)	Prec@5 78.906 (82.088)
Epoch: [84][13150/14090]	Time 0.870 (0.766)	Data 0.001 (0.001)	Loss 1.8554 (1.7962)	Prec@1 53.125 (52.815)	Prec@5 78.125 (82.087)
Epoch: [84][13160/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 1.5271 (1.7961)	Prec@1 60.156 (52.817)	Prec@5 87.500 (82.089)
Epoch: [84][13170/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 1.8514 (1.7961)	Prec@1 49.219 (52.818)	Prec@5 78.906 (82.089)
Epoch: [84][13180/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 1.6220 (1.7961)	Prec@1 52.344 (52.817)	Prec@5 89.062 (82.090)
Epoch: [84][13190/14090]	Time 0.726 (0.766)	Data 0.001 (0.001)	Loss 1.9921 (1.7961)	Prec@1 44.531 (52.817)	Prec@5 79.688 (82.090)
Epoch: [84][13200/14090]	Time 0.757 (0.766)	Data 0.001 (0.001)	Loss 1.7484 (1.7961)	Prec@1 50.000 (52.817)	Prec@5 84.375 (82.089)
Epoch: [84][13210/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 1.6895 (1.7961)	Prec@1 53.906 (52.817)	Prec@5 85.156 (82.090)
Epoch: [84][13220/14090]	Time 0.875 (0.766)	Data 0.001 (0.001)	Loss 1.6963 (1.7961)	Prec@1 52.344 (52.817)	Prec@5 85.938 (82.090)
Epoch: [84][13230/14090]	Time 0.776 (0.766)	Data 0.001 (0.001)	Loss 1.8083 (1.7961)	Prec@1 50.000 (52.817)	Prec@5 79.688 (82.090)
Epoch: [84][13240/14090]	Time 0.773 (0.766)	Data 0.001 (0.001)	Loss 1.7014 (1.7961)	Prec@1 46.875 (52.818)	Prec@5 83.594 (82.090)
Epoch: [84][13250/14090]	Time 0.745 (0.766)	Data 0.001 (0.001)	Loss 1.7973 (1.7960)	Prec@1 57.031 (52.818)	Prec@5 79.688 (82.090)
Epoch: [84][13260/14090]	Time 0.743 (0.766)	Data 0.001 (0.001)	Loss 1.6413 (1.7961)	Prec@1 58.594 (52.817)	Prec@5 78.125 (82.089)
Epoch: [84][13270/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 1.7012 (1.7961)	Prec@1 50.781 (52.816)	Prec@5 86.719 (82.089)
Epoch: [84][13280/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 1.6059 (1.7962)	Prec@1 63.281 (52.816)	Prec@5 82.812 (82.089)
Epoch: [84][13290/14090]	Time 0.871 (0.766)	Data 0.001 (0.001)	Loss 1.7646 (1.7962)	Prec@1 51.562 (52.814)	Prec@5 82.812 (82.088)
Epoch: [84][13300/14090]	Time 0.720 (0.766)	Data 0.001 (0.001)	Loss 1.7630 (1.7963)	Prec@1 57.031 (52.812)	Prec@5 84.375 (82.088)
Epoch: [84][13310/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 1.6477 (1.7963)	Prec@1 57.812 (52.812)	Prec@5 81.250 (82.087)
Epoch: [84][13320/14090]	Time 0.771 (0.766)	Data 0.001 (0.001)	Loss 1.5597 (1.7963)	Prec@1 57.031 (52.811)	Prec@5 84.375 (82.086)
Epoch: [84][13330/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 1.7421 (1.7963)	Prec@1 53.125 (52.812)	Prec@5 81.250 (82.087)
Epoch: [84][13340/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 1.6452 (1.7963)	Prec@1 60.938 (52.813)	Prec@5 84.375 (82.088)
Epoch: [84][13350/14090]	Time 0.765 (0.766)	Data 0.001 (0.001)	Loss 1.8373 (1.7963)	Prec@1 56.250 (52.812)	Prec@5 80.469 (82.086)
Epoch: [84][13360/14090]	Time 0.870 (0.766)	Data 0.001 (0.001)	Loss 1.8653 (1.7964)	Prec@1 53.906 (52.811)	Prec@5 84.375 (82.085)
Epoch: [84][13370/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 1.6594 (1.7965)	Prec@1 57.812 (52.809)	Prec@5 82.031 (82.084)
Epoch: [84][13380/14090]	Time 0.728 (0.766)	Data 0.001 (0.001)	Loss 1.7124 (1.7965)	Prec@1 58.594 (52.809)	Prec@5 79.688 (82.084)
Epoch: [84][13390/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 1.8949 (1.7965)	Prec@1 52.344 (52.809)	Prec@5 79.688 (82.083)
Epoch: [84][13400/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 2.1389 (1.7965)	Prec@1 46.094 (52.806)	Prec@5 73.438 (82.082)
Epoch: [84][13410/14090]	Time 0.751 (0.766)	Data 0.002 (0.001)	Loss 2.0250 (1.7965)	Prec@1 42.969 (52.806)	Prec@5 77.344 (82.084)
Epoch: [84][13420/14090]	Time 0.739 (0.766)	Data 0.001 (0.001)	Loss 2.0564 (1.7966)	Prec@1 47.656 (52.805)	Prec@5 75.781 (82.082)
Epoch: [84][13430/14090]	Time 0.868 (0.766)	Data 0.001 (0.001)	Loss 2.1401 (1.7966)	Prec@1 44.531 (52.804)	Prec@5 74.219 (82.081)
Epoch: [84][13440/14090]	Time 0.770 (0.766)	Data 0.001 (0.001)	Loss 1.8818 (1.7967)	Prec@1 46.094 (52.803)	Prec@5 82.812 (82.080)
Epoch: [84][13450/14090]	Time 0.773 (0.766)	Data 0.001 (0.001)	Loss 1.7873 (1.7967)	Prec@1 49.219 (52.804)	Prec@5 80.469 (82.081)
Epoch: [84][13460/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 1.6420 (1.7967)	Prec@1 49.219 (52.804)	Prec@5 85.156 (82.079)
Epoch: [84][13470/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 1.7083 (1.7968)	Prec@1 52.344 (52.803)	Prec@5 85.938 (82.078)
Epoch: [84][13480/14090]	Time 0.753 (0.766)	Data 0.001 (0.001)	Loss 1.6823 (1.7968)	Prec@1 57.031 (52.803)	Prec@5 86.719 (82.079)
Epoch: [84][13490/14090]	Time 0.752 (0.766)	Data 0.001 (0.001)	Loss 1.7769 (1.7967)	Prec@1 50.781 (52.803)	Prec@5 84.375 (82.079)
Epoch: [84][13500/14090]	Time 0.891 (0.766)	Data 0.001 (0.001)	Loss 1.8678 (1.7968)	Prec@1 54.688 (52.802)	Prec@5 83.594 (82.079)
Epoch: [84][13510/14090]	Time 0.760 (0.766)	Data 0.001 (0.001)	Loss 1.7268 (1.7967)	Prec@1 51.562 (52.804)	Prec@5 82.031 (82.080)
Epoch: [84][13520/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 1.8254 (1.7967)	Prec@1 56.250 (52.803)	Prec@5 79.688 (82.079)
Epoch: [84][13530/14090]	Time 0.770 (0.766)	Data 0.001 (0.001)	Loss 1.7724 (1.7968)	Prec@1 50.000 (52.801)	Prec@5 84.375 (82.079)
Epoch: [84][13540/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 1.8534 (1.7968)	Prec@1 55.469 (52.801)	Prec@5 78.906 (82.079)
Epoch: [84][13550/14090]	Time 0.746 (0.766)	Data 0.001 (0.001)	Loss 1.7394 (1.7968)	Prec@1 57.031 (52.801)	Prec@5 82.031 (82.078)
Epoch: [84][13560/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 1.6678 (1.7968)	Prec@1 57.812 (52.801)	Prec@5 84.375 (82.077)
Epoch: [84][13570/14090]	Time 0.886 (0.766)	Data 0.001 (0.001)	Loss 1.8533 (1.7968)	Prec@1 51.562 (52.801)	Prec@5 80.469 (82.077)
Epoch: [84][13580/14090]	Time 0.747 (0.766)	Data 0.001 (0.001)	Loss 1.9784 (1.7969)	Prec@1 44.531 (52.800)	Prec@5 82.812 (82.077)
Epoch: [84][13590/14090]	Time 0.759 (0.766)	Data 0.001 (0.001)	Loss 1.7971 (1.7969)	Prec@1 56.250 (52.800)	Prec@5 78.906 (82.076)
Epoch: [84][13600/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 1.7663 (1.7969)	Prec@1 53.125 (52.801)	Prec@5 81.250 (82.076)
Epoch: [84][13610/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 1.8500 (1.7970)	Prec@1 51.562 (52.800)	Prec@5 81.250 (82.074)
Epoch: [84][13620/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 2.0503 (1.7971)	Prec@1 45.312 (52.797)	Prec@5 81.250 (82.073)
Epoch: [84][13630/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 1.8705 (1.7971)	Prec@1 50.781 (52.798)	Prec@5 79.688 (82.073)
Epoch: [84][13640/14090]	Time 0.823 (0.766)	Data 0.001 (0.001)	Loss 2.0555 (1.7971)	Prec@1 43.750 (52.797)	Prec@5 78.906 (82.073)
Epoch: [84][13650/14090]	Time 0.736 (0.766)	Data 0.001 (0.001)	Loss 1.5618 (1.7970)	Prec@1 52.344 (52.798)	Prec@5 85.938 (82.074)
Epoch: [84][13660/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 1.9992 (1.7970)	Prec@1 45.312 (52.797)	Prec@5 79.688 (82.073)
Epoch: [84][13670/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 1.6462 (1.7971)	Prec@1 55.469 (52.796)	Prec@5 88.281 (82.072)
Epoch: [84][13680/14090]	Time 0.761 (0.766)	Data 0.001 (0.001)	Loss 1.9544 (1.7971)	Prec@1 45.312 (52.795)	Prec@5 82.812 (82.073)
Epoch: [84][13690/14090]	Time 0.755 (0.766)	Data 0.001 (0.001)	Loss 2.0485 (1.7971)	Prec@1 49.219 (52.795)	Prec@5 76.562 (82.073)
Epoch: [84][13700/14090]	Time 0.731 (0.766)	Data 0.001 (0.001)	Loss 1.9630 (1.7972)	Prec@1 50.781 (52.793)	Prec@5 79.688 (82.071)
Epoch: [84][13710/14090]	Time 0.861 (0.766)	Data 0.001 (0.001)	Loss 1.7678 (1.7971)	Prec@1 55.469 (52.794)	Prec@5 82.812 (82.071)
Epoch: [84][13720/14090]	Time 0.738 (0.766)	Data 0.001 (0.001)	Loss 1.7695 (1.7972)	Prec@1 58.594 (52.794)	Prec@5 82.031 (82.072)
Epoch: [84][13730/14090]	Time 0.754 (0.766)	Data 0.001 (0.001)	Loss 1.7627 (1.7971)	Prec@1 53.125 (52.794)	Prec@5 81.250 (82.072)
Epoch: [84][13740/14090]	Time 0.742 (0.766)	Data 0.001 (0.001)	Loss 1.6035 (1.7972)	Prec@1 57.812 (52.794)	Prec@5 85.938 (82.071)
Epoch: [84][13750/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 1.8285 (1.7972)	Prec@1 50.781 (52.794)	Prec@5 82.031 (82.071)
Epoch: [84][13760/14090]	Time 0.764 (0.766)	Data 0.001 (0.001)	Loss 1.8877 (1.7972)	Prec@1 56.250 (52.794)	Prec@5 78.125 (82.071)
Epoch: [84][13770/14090]	Time 0.777 (0.766)	Data 0.001 (0.001)	Loss 1.5360 (1.7972)	Prec@1 56.250 (52.793)	Prec@5 84.375 (82.070)
Epoch: [84][13780/14090]	Time 0.855 (0.766)	Data 0.001 (0.001)	Loss 2.1111 (1.7973)	Prec@1 46.875 (52.793)	Prec@5 75.000 (82.069)
Epoch: [84][13790/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 1.8483 (1.7972)	Prec@1 48.438 (52.793)	Prec@5 80.469 (82.070)
Epoch: [84][13800/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 1.4692 (1.7972)	Prec@1 58.594 (52.794)	Prec@5 88.281 (82.070)
Epoch: [84][13810/14090]	Time 0.774 (0.766)	Data 0.001 (0.001)	Loss 1.8487 (1.7972)	Prec@1 53.906 (52.793)	Prec@5 80.469 (82.069)
Epoch: [84][13820/14090]	Time 0.741 (0.766)	Data 0.001 (0.001)	Loss 1.8195 (1.7973)	Prec@1 50.000 (52.792)	Prec@5 78.906 (82.068)
Epoch: [84][13830/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 1.8137 (1.7973)	Prec@1 50.781 (52.790)	Prec@5 78.906 (82.066)
Epoch: [84][13840/14090]	Time 0.724 (0.766)	Data 0.001 (0.001)	Loss 1.7505 (1.7973)	Prec@1 50.781 (52.791)	Prec@5 82.812 (82.066)
Epoch: [84][13850/14090]	Time 0.850 (0.766)	Data 0.001 (0.001)	Loss 1.7887 (1.7973)	Prec@1 52.344 (52.792)	Prec@5 83.594 (82.066)
Epoch: [84][13860/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 1.8616 (1.7973)	Prec@1 49.219 (52.793)	Prec@5 78.906 (82.066)
Epoch: [84][13870/14090]	Time 0.734 (0.766)	Data 0.001 (0.001)	Loss 1.7080 (1.7973)	Prec@1 54.688 (52.793)	Prec@5 82.812 (82.066)
Epoch: [84][13880/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 1.9680 (1.7973)	Prec@1 45.312 (52.791)	Prec@5 78.906 (82.065)
Epoch: [84][13890/14090]	Time 0.735 (0.766)	Data 0.001 (0.001)	Loss 2.1506 (1.7973)	Prec@1 46.875 (52.790)	Prec@5 77.344 (82.065)
Epoch: [84][13900/14090]	Time 0.770 (0.766)	Data 0.001 (0.001)	Loss 2.0281 (1.7974)	Prec@1 45.312 (52.789)	Prec@5 79.688 (82.064)
Epoch: [84][13910/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 1.6315 (1.7974)	Prec@1 57.031 (52.788)	Prec@5 86.719 (82.065)
Epoch: [84][13920/14090]	Time 0.863 (0.766)	Data 0.001 (0.001)	Loss 1.9610 (1.7974)	Prec@1 46.875 (52.791)	Prec@5 79.688 (82.066)
Epoch: [84][13930/14090]	Time 0.762 (0.766)	Data 0.001 (0.001)	Loss 1.8602 (1.7974)	Prec@1 53.906 (52.791)	Prec@5 78.125 (82.066)
Epoch: [84][13940/14090]	Time 0.725 (0.766)	Data 0.001 (0.001)	Loss 1.7334 (1.7974)	Prec@1 54.688 (52.791)	Prec@5 81.250 (82.066)
Epoch: [84][13950/14090]	Time 0.730 (0.766)	Data 0.001 (0.001)	Loss 1.7734 (1.7974)	Prec@1 55.469 (52.791)	Prec@5 83.594 (82.065)
Epoch: [84][13960/14090]	Time 0.727 (0.766)	Data 0.001 (0.001)	Loss 1.9655 (1.7974)	Prec@1 40.625 (52.793)	Prec@5 83.594 (82.065)
Epoch: [84][13970/14090]	Time 0.749 (0.766)	Data 0.001 (0.001)	Loss 1.7011 (1.7974)	Prec@1 54.688 (52.793)	Prec@5 85.938 (82.065)
Epoch: [84][13980/14090]	Time 0.779 (0.766)	Data 0.001 (0.001)	Loss 1.7875 (1.7974)	Prec@1 55.469 (52.794)	Prec@5 82.031 (82.064)
Epoch: [84][13990/14090]	Time 0.864 (0.766)	Data 0.001 (0.001)	Loss 1.6152 (1.7975)	Prec@1 55.469 (52.793)	Prec@5 85.938 (82.064)
Epoch: [84][14000/14090]	Time 0.737 (0.766)	Data 0.001 (0.001)	Loss 1.8119 (1.7975)	Prec@1 50.000 (52.792)	Prec@5 86.719 (82.064)
Epoch: [84][14010/14090]	Time 0.751 (0.766)	Data 0.001 (0.001)	Loss 1.6630 (1.7974)	Prec@1 55.469 (52.793)	Prec@5 85.156 (82.064)
Epoch: [84][14020/14090]	Time 0.786 (0.766)	Data 0.001 (0.001)	Loss 1.8402 (1.7974)	Prec@1 54.688 (52.796)	Prec@5 80.469 (82.065)
Epoch: [84][14030/14090]	Time 0.729 (0.766)	Data 0.001 (0.001)	Loss 1.8974 (1.7974)	Prec@1 47.656 (52.797)	Prec@5 82.812 (82.066)
Epoch: [84][14040/14090]	Time 0.756 (0.766)	Data 0.001 (0.001)	Loss 1.9215 (1.7974)	Prec@1 53.906 (52.795)	Prec@5 79.688 (82.066)
Epoch: [84][14050/14090]	Time 0.733 (0.766)	Data 0.001 (0.001)	Loss 1.8468 (1.7974)	Prec@1 55.469 (52.795)	Prec@5 77.344 (82.066)
Epoch: [84][14060/14090]	Time 0.872 (0.766)	Data 0.001 (0.001)	Loss 1.8036 (1.7974)	Prec@1 51.562 (52.796)	Prec@5 82.031 (82.065)
Epoch: [84][14070/14090]	Time 0.744 (0.766)	Data 0.001 (0.001)	Loss 1.6608 (1.7973)	Prec@1 59.375 (52.797)	Prec@5 82.812 (82.066)
Epoch: [84][14080/14090]	Time 0.720 (0.766)	Data 0.000 (0.001)	Loss 1.8753 (1.7974)	Prec@1 47.656 (52.797)	Prec@5 81.250 (82.066)
Test: [0/286]	Time 4.398 (4.398)	Loss 1.2179 (1.2179)	Prec@1 58.594 (58.594)	Prec@5 96.094 (96.094)
Test: [10/286]	Time 0.242 (0.754)	Loss 1.8349 (1.7905)	Prec@1 45.312 (52.628)	Prec@5 86.719 (85.369)
Test: [20/286]	Time 0.239 (0.572)	Loss 1.3501 (1.7004)	Prec@1 64.062 (54.018)	Prec@5 91.406 (86.310)
Test: [30/286]	Time 0.291 (0.514)	Loss 1.8784 (1.6338)	Prec@1 50.000 (56.326)	Prec@5 79.688 (86.492)
Test: [40/286]	Time 1.337 (0.507)	Loss 1.6717 (1.6530)	Prec@1 52.344 (55.926)	Prec@5 85.938 (86.338)
Test: [50/286]	Time 0.313 (0.482)	Loss 0.5106 (1.6601)	Prec@1 89.844 (55.377)	Prec@5 95.312 (86.382)
Test: [60/286]	Time 0.292 (0.468)	Loss 2.6972 (1.6936)	Prec@1 35.156 (54.803)	Prec@5 67.188 (85.207)
Test: [70/286]	Time 0.232 (0.454)	Loss 1.1442 (1.6753)	Prec@1 71.875 (55.205)	Prec@5 93.750 (85.475)
Test: [80/286]	Time 1.726 (0.463)	Loss 1.9951 (1.7109)	Prec@1 46.094 (54.099)	Prec@5 82.031 (85.012)
Test: [90/286]	Time 0.236 (0.455)	Loss 1.8107 (1.7207)	Prec@1 50.781 (54.009)	Prec@5 86.719 (84.933)
Test: [100/286]	Time 0.255 (0.448)	Loss 2.3339 (1.7325)	Prec@1 25.000 (53.519)	Prec@5 80.469 (84.916)
Test: [110/286]	Time 0.245 (0.441)	Loss 2.3980 (1.7475)	Prec@1 32.812 (53.224)	Prec@5 74.219 (84.861)
Test: [120/286]	Time 1.506 (0.446)	Loss 1.6140 (1.7314)	Prec@1 62.500 (53.822)	Prec@5 83.594 (85.027)
Test: [130/286]	Time 0.315 (0.442)	Loss 0.9427 (1.7243)	Prec@1 70.312 (54.097)	Prec@5 95.312 (85.073)
Test: [140/286]	Time 0.270 (0.438)	Loss 2.2239 (1.7203)	Prec@1 50.000 (54.189)	Prec@5 75.781 (85.068)
Test: [150/286]	Time 0.231 (0.433)	Loss 2.7414 (1.7326)	Prec@1 25.781 (53.648)	Prec@5 73.438 (84.913)
Test: [160/286]	Time 1.643 (0.439)	Loss 2.4443 (1.7304)	Prec@1 32.031 (53.785)	Prec@5 73.438 (84.928)
Test: [170/286]	Time 0.238 (0.436)	Loss 1.7682 (1.7200)	Prec@1 48.438 (53.998)	Prec@5 82.031 (85.069)
Test: [180/286]	Time 0.311 (0.433)	Loss 1.9579 (1.7292)	Prec@1 57.812 (53.807)	Prec@5 78.906 (84.915)
Test: [190/286]	Time 0.229 (0.429)	Loss 2.7681 (1.7470)	Prec@1 21.094 (53.375)	Prec@5 76.562 (84.759)
Test: [200/286]	Time 1.502 (0.433)	Loss 1.6270 (1.7401)	Prec@1 62.500 (53.514)	Prec@5 86.719 (84.803)
Test: [210/286]	Time 0.231 (0.431)	Loss 1.7910 (1.7426)	Prec@1 52.344 (53.429)	Prec@5 85.156 (84.760)
Test: [220/286]	Time 0.234 (0.429)	Loss 2.5164 (1.7471)	Prec@1 27.344 (53.418)	Prec@5 74.219 (84.601)
Test: [230/286]	Time 0.293 (0.428)	Loss 1.3592 (1.7489)	Prec@1 61.719 (53.358)	Prec@5 89.062 (84.554)
Test: [240/286]	Time 1.447 (0.430)	Loss 1.7102 (1.7452)	Prec@1 55.469 (53.482)	Prec@5 85.156 (84.563)
Test: [250/286]	Time 0.236 (0.428)	Loss 1.7054 (1.7364)	Prec@1 50.000 (53.502)	Prec@5 85.156 (84.724)
Test: [260/286]	Time 0.228 (0.427)	Loss 1.7806 (1.7306)	Prec@1 48.438 (53.697)	Prec@5 83.594 (84.815)
Test: [270/286]	Time 0.235 (0.425)	Loss 1.1155 (1.7305)	Prec@1 70.312 (53.713)	Prec@5 91.406 (84.839)
Test: [280/286]	Time 1.434 (0.428)	Loss 1.8742 (1.7169)	Prec@1 53.906 (54.201)	Prec@5 85.156 (84.953)
 * Prec@1 54.310 Prec@5 84.965
Epoch: [85][0/14090]	Time 5.784 (5.784)	Data 5.001 (5.001)	Loss 1.8005 (1.8005)	Prec@1 52.344 (52.344)	Prec@5 82.031 (82.031)
Epoch: [85][10/14090]	Time 0.746 (1.211)	Data 0.001 (0.455)	Loss 1.4831 (1.7379)	Prec@1 58.594 (54.830)	Prec@5 90.625 (82.599)
Epoch: [85][20/14090]	Time 0.735 (0.995)	Data 0.001 (0.239)	Loss 1.8293 (1.7518)	Prec@1 48.438 (54.018)	Prec@5 85.156 (82.664)
Epoch: [85][30/14090]	Time 0.876 (0.921)	Data 0.001 (0.162)	Loss 1.7193 (1.7505)	Prec@1 57.031 (54.360)	Prec@5 78.125 (82.485)
Epoch: [85][40/14090]	Time 0.762 (0.881)	Data 0.001 (0.123)	Loss 1.5255 (1.7518)	Prec@1 56.250 (53.944)	Prec@5 85.938 (82.641)
Epoch: [85][50/14090]	Time 0.743 (0.858)	Data 0.001 (0.099)	Loss 1.8720 (1.7566)	Prec@1 50.000 (54.013)	Prec@5 80.469 (82.690)
Epoch: [85][60/14090]	Time 0.788 (0.847)	Data 0.001 (0.083)	Loss 1.7950 (1.7521)	Prec@1 51.562 (53.996)	Prec@5 85.938 (82.864)
Epoch: [85][70/14090]	Time 0.788 (0.837)	Data 0.001 (0.071)	Loss 1.4006 (1.7480)	Prec@1 62.500 (54.148)	Prec@5 85.938 (82.901)
Epoch: [85][80/14090]	Time 0.756 (0.829)	Data 0.001 (0.063)	Loss 1.4565 (1.7586)	Prec@1 58.594 (53.829)	Prec@5 85.938 (82.658)
Epoch: [85][90/14090]	Time 0.744 (0.821)	Data 0.001 (0.056)	Loss 1.8365 (1.7605)	Prec@1 50.000 (53.863)	Prec@5 83.594 (82.572)
Epoch: [85][100/14090]	Time 0.871 (0.816)	Data 0.001 (0.050)	Loss 1.9282 (1.7686)	Prec@1 47.656 (53.767)	Prec@5 78.906 (82.418)
Epoch: [85][110/14090]	Time 0.738 (0.811)	Data 0.001 (0.046)	Loss 1.7202 (1.7669)	Prec@1 55.469 (53.822)	Prec@5 82.812 (82.461)
Epoch: [85][120/14090]	Time 0.728 (0.807)	Data 0.001 (0.042)	Loss 1.6717 (1.7708)	Prec@1 50.000 (53.745)	Prec@5 85.938 (82.438)
Epoch: [85][130/14090]	Time 0.727 (0.804)	Data 0.001 (0.039)	Loss 1.7504 (1.7707)	Prec@1 50.000 (53.662)	Prec@5 82.812 (82.455)
Epoch: [85][140/14090]	Time 0.728 (0.800)	Data 0.001 (0.036)	Loss 1.9305 (1.7787)	Prec@1 44.531 (53.441)	Prec@5 77.344 (82.292)
Epoch: [85][150/14090]	Time 0.767 (0.798)	Data 0.001 (0.034)	Loss 1.7820 (1.7817)	Prec@1 51.562 (53.301)	Prec@5 85.156 (82.238)
Epoch: [85][160/14090]	Time 0.747 (0.795)	Data 0.001 (0.032)	Loss 1.7402 (1.7828)	Prec@1 55.469 (53.290)	Prec@5 80.469 (82.162)
Epoch: [85][170/14090]	Time 0.820 (0.794)	Data 0.001 (0.030)	Loss 1.5739 (1.7739)	Prec@1 60.156 (53.500)	Prec@5 82.812 (82.269)
Epoch: [85][180/14090]	Time 0.745 (0.791)	Data 0.001 (0.029)	Loss 1.9344 (1.7765)	Prec@1 42.969 (53.479)	Prec@5 82.812 (82.221)
Epoch: [85][190/14090]	Time 0.750 (0.790)	Data 0.001 (0.027)	Loss 1.7801 (1.7790)	Prec@1 53.125 (53.411)	Prec@5 79.688 (82.138)
Epoch: [85][200/14090]	Time 0.779 (0.789)	Data 0.001 (0.026)	Loss 1.6790 (1.7789)	Prec@1 54.688 (53.428)	Prec@5 81.250 (82.117)
Epoch: [85][210/14090]	Time 0.729 (0.787)	Data 0.001 (0.025)	Loss 1.8753 (1.7849)	Prec@1 54.688 (53.243)	Prec@5 80.469 (81.987)
Epoch: [85][220/14090]	Time 0.779 (0.787)	Data 0.001 (0.024)	Loss 1.9304 (1.7877)	Prec@1 50.781 (53.157)	Prec@5 80.469 (81.996)
Epoch: [85][230/14090]	Time 0.759 (0.786)	Data 0.001 (0.023)	Loss 1.5979 (1.7880)	Prec@1 61.719 (53.193)	Prec@5 86.719 (82.024)
Epoch: [85][240/14090]	Time 0.862 (0.785)	Data 0.001 (0.022)	Loss 1.8774 (1.7875)	Prec@1 48.438 (53.141)	Prec@5 78.125 (81.999)
Epoch: [85][250/14090]	Time 0.735 (0.783)	Data 0.001 (0.021)	Loss 1.7130 (1.7875)	Prec@1 57.031 (53.141)	Prec@5 81.250 (81.981)
Epoch: [85][260/14090]	Time 0.758 (0.782)	Data 0.001 (0.020)	Loss 1.8561 (1.7902)	Prec@1 50.000 (53.113)	Prec@5 84.375 (81.947)
Epoch: [85][270/14090]	Time 0.760 (0.782)	Data 0.001 (0.019)	Loss 2.0994 (1.7912)	Prec@1 46.875 (53.036)	Prec@5 75.000 (81.942)
Epoch: [85][280/14090]	Time 0.737 (0.781)	Data 0.001 (0.019)	Loss 1.8051 (1.7929)	Prec@1 55.469 (53.000)	Prec@5 82.812 (81.884)
Epoch: [85][290/14090]	Time 0.725 (0.781)	Data 0.001 (0.018)	Loss 1.8894 (1.7960)	Prec@1 51.562 (52.894)	Prec@5 80.469 (81.841)
Epoch: [85][300/14090]	Time 0.734 (0.780)	Data 0.001 (0.017)	Loss 1.7958 (1.7945)	Prec@1 51.562 (52.956)	Prec@5 85.156 (81.873)
Epoch: [85][310/14090]	Time 0.852 (0.779)	Data 0.001 (0.017)	Loss 2.0218 (1.7945)	Prec@1 50.000 (52.937)	Prec@5 81.250 (81.863)
Epoch: [85][320/14090]	Time 0.727 (0.779)	Data 0.001 (0.016)	Loss 1.8973 (1.7945)	Prec@1 53.906 (52.935)	Prec@5 82.031 (81.900)
Epoch: [85][330/14090]	Time 0.751 (0.778)	Data 0.001 (0.016)	Loss 1.6730 (1.7920)	Prec@1 54.688 (52.979)	Prec@5 84.375 (81.949)
Epoch: [85][340/14090]	Time 0.775 (0.778)	Data 0.001 (0.016)	Loss 1.8433 (1.7917)	Prec@1 53.125 (53.015)	Prec@5 78.125 (81.935)
Epoch: [85][350/14090]	Time 0.754 (0.777)	Data 0.001 (0.015)	Loss 1.8067 (1.7924)	Prec@1 53.125 (52.985)	Prec@5 79.688 (81.938)
Epoch: [85][360/14090]	Time 0.748 (0.777)	Data 0.001 (0.015)	Loss 1.9833 (1.7910)	Prec@1 44.531 (52.982)	Prec@5 78.906 (81.949)
Epoch: [85][370/14090]	Time 0.730 (0.777)	Data 0.001 (0.014)	Loss 1.9525 (1.7925)	Prec@1 43.750 (52.940)	Prec@5 82.812 (81.949)
Epoch: [85][380/14090]	Time 0.847 (0.777)	Data 0.001 (0.014)	Loss 1.6677 (1.7921)	Prec@1 56.250 (52.963)	Prec@5 86.719 (81.980)
Epoch: [85][390/14090]	Time 0.728 (0.776)	Data 0.001 (0.014)	Loss 1.9773 (1.7919)	Prec@1 52.344 (52.979)	Prec@5 76.562 (81.983)
Epoch: [85][400/14090]	Time 0.739 (0.776)	Data 0.001 (0.013)	Loss 1.6818 (1.7895)	Prec@1 58.594 (53.022)	Prec@5 85.156 (82.022)
Epoch: [85][410/14090]	Time 0.753 (0.776)	Data 0.001 (0.013)	Loss 1.9222 (1.7901)	Prec@1 55.469 (52.960)	Prec@5 79.688 (82.008)
Epoch: [85][420/14090]	Time 0.752 (0.775)	Data 0.001 (0.013)	Loss 1.8706 (1.7890)	Prec@1 50.781 (52.951)	Prec@5 82.812 (82.033)
Epoch: [85][430/14090]	Time 0.755 (0.775)	Data 0.001 (0.012)	Loss 1.6202 (1.7890)	Prec@1 55.469 (52.918)	Prec@5 84.375 (82.040)
Epoch: [85][440/14090]	Time 0.743 (0.775)	Data 0.001 (0.012)	Loss 1.8131 (1.7887)	Prec@1 53.906 (52.898)	Prec@5 79.688 (82.056)
Epoch: [85][450/14090]	Time 0.866 (0.775)	Data 0.001 (0.012)	Loss 1.7927 (1.7884)	Prec@1 48.438 (52.882)	Prec@5 82.812 (82.069)
Epoch: [85][460/14090]	Time 0.747 (0.774)	Data 0.001 (0.012)	Loss 1.8823 (1.7863)	Prec@1 54.688 (52.964)	Prec@5 76.562 (82.099)
Epoch: [85][470/14090]	Time 0.751 (0.774)	Data 0.001 (0.011)	Loss 1.5396 (1.7853)	Prec@1 55.469 (52.964)	Prec@5 88.281 (82.114)
Epoch: [85][480/14090]	Time 0.744 (0.774)	Data 0.001 (0.011)	Loss 1.7803 (1.7846)	Prec@1 56.250 (52.951)	Prec@5 81.250 (82.122)
Epoch: [85][490/14090]	Time 0.737 (0.774)	Data 0.002 (0.011)	Loss 1.6518 (1.7856)	Prec@1 57.031 (52.934)	Prec@5 85.156 (82.130)
Epoch: [85][500/14090]	Time 0.761 (0.774)	Data 0.001 (0.011)	Loss 1.3947 (1.7847)	Prec@1 58.594 (52.964)	Prec@5 88.281 (82.131)
Epoch: [85][510/14090]	Time 0.782 (0.774)	Data 0.001 (0.011)	Loss 1.8169 (1.7837)	Prec@1 50.781 (52.987)	Prec@5 81.250 (82.138)
Epoch: [85][520/14090]	Time 0.810 (0.773)	Data 0.001 (0.010)	Loss 1.7520 (1.7845)	Prec@1 49.219 (52.950)	Prec@5 81.250 (82.127)
Epoch: [85][530/14090]	Time 0.727 (0.773)	Data 0.001 (0.010)	Loss 1.4887 (1.7840)	Prec@1 58.594 (52.981)	Prec@5 85.156 (82.124)
Epoch: [85][540/14090]	Time 0.737 (0.773)	Data 0.001 (0.010)	Loss 1.8695 (1.7836)	Prec@1 51.562 (53.002)	Prec@5 75.781 (82.121)
Epoch: [85][550/14090]	Time 0.729 (0.773)	Data 0.001 (0.010)	Loss 1.6231 (1.7812)	Prec@1 56.250 (53.057)	Prec@5 88.281 (82.167)
Epoch: [85][560/14090]	Time 0.738 (0.773)	Data 0.001 (0.010)	Loss 1.7669 (1.7824)	Prec@1 58.594 (53.050)	Prec@5 80.469 (82.141)
Epoch: [85][570/14090]	Time 0.737 (0.773)	Data 0.001 (0.010)	Loss 1.9087 (1.7822)	Prec@1 44.531 (53.039)	Prec@5 79.688 (82.165)
Epoch: [85][580/14090]	Time 0.758 (0.773)	Data 0.001 (0.009)	Loss 1.9154 (1.7812)	Prec@1 50.000 (53.060)	Prec@5 79.688 (82.156)
Epoch: [85][590/14090]	Time 0.889 (0.773)	Data 0.001 (0.009)	Loss 1.7256 (1.7803)	Prec@1 53.125 (53.068)	Prec@5 83.594 (82.174)
Epoch: [85][600/14090]	Time 0.723 (0.772)	Data 0.001 (0.009)	Loss 1.7057 (1.7799)	Prec@1 53.906 (53.112)	Prec@5 86.719 (82.186)
Epoch: [85][610/14090]	Time 0.772 (0.772)	Data 0.001 (0.009)	Loss 1.6807 (1.7796)	Prec@1 53.906 (53.110)	Prec@5 82.812 (82.187)
Epoch: [85][620/14090]	Time 0.756 (0.772)	Data 0.001 (0.009)	Loss 1.5609 (1.7784)	Prec@1 57.812 (53.124)	Prec@5 85.938 (82.224)
Epoch: [85][630/14090]	Time 0.777 (0.772)	Data 0.001 (0.009)	Loss 1.5957 (1.7775)	Prec@1 55.469 (53.144)	Prec@5 85.156 (82.239)
Epoch: [85][640/14090]	Time 0.727 (0.772)	Data 0.001 (0.009)	Loss 2.0656 (1.7765)	Prec@1 52.344 (53.181)	Prec@5 74.219 (82.246)
Epoch: [85][650/14090]	Time 0.747 (0.771)	Data 0.001 (0.009)	Loss 1.8492 (1.7771)	Prec@1 48.438 (53.166)	Prec@5 82.812 (82.239)
Epoch: [85][660/14090]	Time 0.849 (0.771)	Data 0.001 (0.008)	Loss 1.8829 (1.7769)	Prec@1 51.562 (53.147)	Prec@5 76.562 (82.238)
Epoch: [85][670/14090]	Time 0.738 (0.771)	Data 0.001 (0.008)	Loss 1.5759 (1.7759)	Prec@1 53.906 (53.172)	Prec@5 87.500 (82.252)
Epoch: [85][680/14090]	Time 0.754 (0.771)	Data 0.001 (0.008)	Loss 1.6924 (1.7756)	Prec@1 55.469 (53.146)	Prec@5 86.719 (82.273)
Epoch: [85][690/14090]	Time 0.753 (0.771)	Data 0.001 (0.008)	Loss 1.7420 (1.7752)	Prec@1 54.688 (53.168)	Prec@5 82.031 (82.282)
Epoch: [85][700/14090]	Time 0.759 (0.771)	Data 0.001 (0.008)	Loss 1.9151 (1.7765)	Prec@1 51.562 (53.138)	Prec@5 79.688 (82.252)
Epoch: [85][710/14090]	Time 0.758 (0.771)	Data 0.001 (0.008)	Loss 1.6898 (1.7769)	Prec@1 58.594 (53.140)	Prec@5 82.812 (82.252)
Epoch: [85][720/14090]	Time 0.760 (0.771)	Data 0.001 (0.008)	Loss 1.9635 (1.7772)	Prec@1 50.781 (53.143)	Prec@5 75.000 (82.251)
Epoch: [85][730/14090]	Time 0.850 (0.771)	Data 0.001 (0.008)	Loss 1.7958 (1.7773)	Prec@1 54.688 (53.157)	Prec@5 81.250 (82.247)
Epoch: [85][740/14090]	Time 0.750 (0.770)	Data 0.001 (0.008)	Loss 1.7234 (1.7772)	Prec@1 52.344 (53.155)	Prec@5 85.156 (82.255)
Epoch: [85][750/14090]	Time 0.723 (0.770)	Data 0.001 (0.007)	Loss 1.9287 (1.7773)	Prec@1 51.562 (53.173)	Prec@5 83.594 (82.255)
Epoch: [85][760/14090]	Time 0.752 (0.770)	Data 0.001 (0.007)	Loss 1.7795 (1.7762)	Prec@1 52.344 (53.208)	Prec@5 83.594 (82.286)
Epoch: [85][770/14090]	Time 0.760 (0.770)	Data 0.001 (0.007)	Loss 1.7749 (1.7760)	Prec@1 53.125 (53.218)	Prec@5 81.250 (82.289)
Epoch: [85][780/14090]	Time 0.744 (0.770)	Data 0.001 (0.007)	Loss 1.9439 (1.7759)	Prec@1 50.000 (53.237)	Prec@5 79.688 (82.298)
Epoch: [85][790/14090]	Time 0.770 (0.770)	Data 0.001 (0.007)	Loss 1.6192 (1.7751)	Prec@1 56.250 (53.238)	Prec@5 85.938 (82.302)
Epoch: [85][800/14090]	Time 0.845 (0.770)	Data 0.001 (0.007)	Loss 1.8205 (1.7755)	Prec@1 50.781 (53.233)	Prec@5 83.594 (82.300)
Epoch: [85][810/14090]	Time 0.720 (0.770)	Data 0.001 (0.007)	Loss 1.7889 (1.7761)	Prec@1 52.344 (53.219)	Prec@5 84.375 (82.306)
Epoch: [85][820/14090]	Time 0.766 (0.770)	Data 0.001 (0.007)	Loss 1.8385 (1.7764)	Prec@1 50.781 (53.209)	Prec@5 80.469 (82.294)
Epoch: [85][830/14090]	Time 0.741 (0.770)	Data 0.002 (0.007)	Loss 1.7586 (1.7762)	Prec@1 55.469 (53.211)	Prec@5 81.250 (82.300)
Epoch: [85][840/14090]	Time 0.739 (0.769)	Data 0.001 (0.007)	Loss 1.8238 (1.7777)	Prec@1 55.469 (53.202)	Prec@5 80.469 (82.266)
Epoch: [85][850/14090]	Time 0.745 (0.769)	Data 0.001 (0.007)	Loss 1.6978 (1.7770)	Prec@1 54.688 (53.229)	Prec@5 85.938 (82.284)
Epoch: [85][860/14090]	Time 0.729 (0.769)	Data 0.001 (0.007)	Loss 1.7121 (1.7771)	Prec@1 53.906 (53.215)	Prec@5 81.250 (82.284)
Epoch: [85][870/14090]	Time 0.867 (0.769)	Data 0.001 (0.007)	Loss 1.9432 (1.7779)	Prec@1 51.562 (53.197)	Prec@5 78.125 (82.279)
Epoch: [85][880/14090]	Time 0.739 (0.769)	Data 0.001 (0.007)	Loss 1.8622 (1.7780)	Prec@1 52.344 (53.202)	Prec@5 79.688 (82.272)
Epoch: [85][890/14090]	Time 0.723 (0.769)	Data 0.001 (0.006)	Loss 1.8806 (1.7783)	Prec@1 46.875 (53.189)	Prec@5 80.469 (82.262)
Epoch: [85][900/14090]	Time 0.780 (0.769)	Data 0.001 (0.006)	Loss 1.9788 (1.7793)	Prec@1 48.438 (53.187)	Prec@5 80.469 (82.250)
Epoch: [85][910/14090]	Time 0.752 (0.769)	Data 0.001 (0.006)	Loss 2.0263 (1.7793)	Prec@1 42.188 (53.170)	Prec@5 81.250 (82.255)
Epoch: [85][920/14090]	Time 0.725 (0.769)	Data 0.001 (0.006)	Loss 1.5053 (1.7795)	Prec@1 59.375 (53.167)	Prec@5 85.938 (82.265)
Epoch: [85][930/14090]	Time 0.734 (0.769)	Data 0.001 (0.006)	Loss 1.8575 (1.7796)	Prec@1 54.688 (53.169)	Prec@5 79.688 (82.265)
Epoch: [85][940/14090]	Time 0.870 (0.769)	Data 0.001 (0.006)	Loss 1.8805 (1.7799)	Prec@1 48.438 (53.181)	Prec@5 82.812 (82.262)
Epoch: [85][950/14090]	Time 0.741 (0.769)	Data 0.001 (0.006)	Loss 1.6976 (1.7807)	Prec@1 57.031 (53.155)	Prec@5 81.250 (82.246)
Epoch: [85][960/14090]	Time 0.753 (0.768)	Data 0.001 (0.006)	Loss 1.9582 (1.7817)	Prec@1 47.656 (53.124)	Prec@5 78.906 (82.230)
Epoch: [85][970/14090]	Time 0.727 (0.769)	Data 0.001 (0.006)	Loss 1.6696 (1.7813)	Prec@1 59.375 (53.146)	Prec@5 84.375 (82.235)
Epoch: [85][980/14090]	Time 0.753 (0.768)	Data 0.001 (0.006)	Loss 1.7771 (1.7815)	Prec@1 57.812 (53.157)	Prec@5 82.812 (82.234)
Epoch: [85][990/14090]	Time 0.742 (0.768)	Data 0.001 (0.006)	Loss 2.0760 (1.7814)	Prec@1 49.219 (53.155)	Prec@5 75.000 (82.235)
Epoch: [85][1000/14090]	Time 0.779 (0.768)	Data 0.001 (0.006)	Loss 1.9430 (1.7813)	Prec@1 55.469 (53.160)	Prec@5 75.781 (82.227)
Epoch: [85][1010/14090]	Time 0.825 (0.768)	Data 0.001 (0.006)	Loss 1.6669 (1.7819)	Prec@1 54.688 (53.145)	Prec@5 84.375 (82.224)
Epoch: [85][1020/14090]	Time 0.749 (0.768)	Data 0.001 (0.006)	Loss 1.6604 (1.7820)	Prec@1 53.906 (53.120)	Prec@5 81.250 (82.220)
Epoch: [85][1030/14090]	Time 0.726 (0.768)	Data 0.001 (0.006)	Loss 1.5179 (1.7820)	Prec@1 60.156 (53.120)	Prec@5 89.062 (82.219)
Epoch: [85][1040/14090]	Time 0.755 (0.768)	Data 0.001 (0.006)	Loss 1.7466 (1.7815)	Prec@1 50.000 (53.127)	Prec@5 85.156 (82.232)
Epoch: [85][1050/14090]	Time 0.734 (0.768)	Data 0.001 (0.006)	Loss 1.8999 (1.7806)	Prec@1 50.781 (53.154)	Prec@5 82.812 (82.252)
Epoch: [85][1060/14090]	Time 0.744 (0.768)	Data 0.001 (0.006)	Loss 1.7931 (1.7800)	Prec@1 50.000 (53.179)	Prec@5 82.031 (82.262)
Epoch: [85][1070/14090]	Time 0.740 (0.768)	Data 0.001 (0.005)	Loss 1.8960 (1.7799)	Prec@1 53.125 (53.180)	Prec@5 80.469 (82.262)
Epoch: [85][1080/14090]	Time 0.865 (0.768)	Data 0.001 (0.005)	Loss 1.4501 (1.7799)	Prec@1 60.156 (53.183)	Prec@5 83.594 (82.258)
Epoch: [85][1090/14090]	Time 0.751 (0.768)	Data 0.001 (0.005)	Loss 1.8259 (1.7790)	Prec@1 49.219 (53.193)	Prec@5 82.812 (82.271)
Epoch: [85][1100/14090]	Time 0.719 (0.768)	Data 0.001 (0.005)	Loss 2.1880 (1.7794)	Prec@1 48.438 (53.192)	Prec@5 74.219 (82.258)
Epoch: [85][1110/14090]	Time 0.737 (0.768)	Data 0.001 (0.005)	Loss 1.5372 (1.7787)	Prec@1 62.500 (53.209)	Prec@5 87.500 (82.270)
Epoch: [85][1120/14090]	Time 0.735 (0.768)	Data 0.001 (0.005)	Loss 1.6660 (1.7787)	Prec@1 60.156 (53.207)	Prec@5 82.812 (82.276)
Epoch: [85][1130/14090]	Time 0.740 (0.768)	Data 0.000 (0.005)	Loss 1.7768 (1.7796)	Prec@1 50.781 (53.195)	Prec@5 83.594 (82.254)
Epoch: [85][1140/14090]	Time 0.781 (0.768)	Data 0.001 (0.005)	Loss 1.5603 (1.7793)	Prec@1 57.031 (53.194)	Prec@5 85.938 (82.256)
Epoch: [85][1150/14090]	Time 0.819 (0.767)	Data 0.001 (0.005)	Loss 1.7319 (1.7790)	Prec@1 54.688 (53.187)	Prec@5 83.594 (82.269)
Epoch: [85][1160/14090]	Time 0.739 (0.767)	Data 0.001 (0.005)	Loss 1.7272 (1.7785)	Prec@1 52.344 (53.192)	Prec@5 85.156 (82.276)
Epoch: [85][1170/14090]	Time 0.740 (0.767)	Data 0.001 (0.005)	Loss 1.4766 (1.7780)	Prec@1 61.719 (53.185)	Prec@5 85.938 (82.285)
Epoch: [85][1180/14090]	Time 0.756 (0.767)	Data 0.001 (0.005)	Loss 1.7828 (1.7780)	Prec@1 53.906 (53.180)	Prec@5 77.344 (82.285)
Epoch: [85][1190/14090]	Time 0.752 (0.767)	Data 0.001 (0.005)	Loss 1.6721 (1.7783)	Prec@1 58.594 (53.184)	Prec@5 82.812 (82.278)
Epoch: [85][1200/14090]	Time 0.733 (0.767)	Data 0.001 (0.005)	Loss 1.9443 (1.7785)	Prec@1 48.438 (53.171)	Prec@5 81.250 (82.275)
Epoch: [85][1210/14090]	Time 0.732 (0.767)	Data 0.001 (0.005)	Loss 1.9706 (1.7782)	Prec@1 45.312 (53.184)	Prec@5 82.031 (82.288)
Epoch: [85][1220/14090]	Time 0.895 (0.767)	Data 0.001 (0.005)	Loss 1.6766 (1.7781)	Prec@1 53.125 (53.177)	Prec@5 85.156 (82.281)
Epoch: [85][1230/14090]	Time 0.755 (0.767)	Data 0.001 (0.005)	Loss 1.8728 (1.7785)	Prec@1 51.562 (53.169)	Prec@5 85.156 (82.286)
Epoch: [85][1240/14090]	Time 0.723 (0.767)	Data 0.001 (0.005)	Loss 1.5927 (1.7777)	Prec@1 57.812 (53.187)	Prec@5 85.156 (82.294)
Epoch: [85][1250/14090]	Time 0.751 (0.767)	Data 0.001 (0.005)	Loss 1.5707 (1.7779)	Prec@1 53.125 (53.173)	Prec@5 87.500 (82.294)
Epoch: [85][1260/14090]	Time 0.723 (0.767)	Data 0.001 (0.005)	Loss 1.4836 (1.7782)	Prec@1 60.938 (53.182)	Prec@5 90.625 (82.291)
Epoch: [85][1270/14090]	Time 0.759 (0.767)	Data 0.001 (0.005)	Loss 1.6752 (1.7780)	Prec@1 55.469 (53.181)	Prec@5 84.375 (82.291)
Epoch: [85][1280/14090]	Time 0.755 (0.767)	Data 0.001 (0.005)	Loss 1.8001 (1.7777)	Prec@1 53.125 (53.188)	Prec@5 82.031 (82.305)
Epoch: [85][1290/14090]	Time 0.870 (0.767)	Data 0.001 (0.005)	Loss 2.0013 (1.7780)	Prec@1 46.094 (53.186)	Prec@5 79.688 (82.299)
Epoch: [85][1300/14090]	Time 0.728 (0.767)	Data 0.001 (0.005)	Loss 1.9070 (1.7784)	Prec@1 53.906 (53.174)	Prec@5 79.688 (82.287)
Epoch: [85][1310/14090]	Time 0.731 (0.767)	Data 0.001 (0.005)	Loss 1.7697 (1.7785)	Prec@1 50.000 (53.170)	Prec@5 84.375 (82.289)
Epoch: [85][1320/14090]	Time 0.758 (0.767)	Data 0.001 (0.005)	Loss 1.7478 (1.7794)	Prec@1 56.250 (53.158)	Prec@5 81.250 (82.276)
Epoch: [85][1330/14090]	Time 0.748 (0.767)	Data 0.001 (0.005)	Loss 1.6966 (1.7794)	Prec@1 52.344 (53.158)	Prec@5 86.719 (82.285)
Epoch: [85][1340/14090]	Time 0.747 (0.767)	Data 0.001 (0.005)	Loss 1.9109 (1.7800)	Prec@1 48.438 (53.127)	Prec@5 82.031 (82.278)
Epoch: [85][1350/14090]	Time 0.747 (0.767)	Data 0.001 (0.005)	Loss 1.7156 (1.7794)	Prec@1 58.594 (53.132)	Prec@5 81.250 (82.296)
Epoch: [85][1360/14090]	Time 0.860 (0.767)	Data 0.001 (0.004)	Loss 2.0067 (1.7794)	Prec@1 46.094 (53.122)	Prec@5 76.562 (82.290)
Epoch: [85][1370/14090]	Time 0.747 (0.767)	Data 0.001 (0.004)	Loss 2.0138 (1.7794)	Prec@1 44.531 (53.110)	Prec@5 81.250 (82.299)
Epoch: [85][1380/14090]	Time 0.741 (0.767)	Data 0.001 (0.004)	Loss 1.8004 (1.7795)	Prec@1 53.906 (53.114)	Prec@5 87.500 (82.306)
Epoch: [85][1390/14090]	Time 0.772 (0.767)	Data 0.001 (0.004)	Loss 1.6682 (1.7789)	Prec@1 54.688 (53.131)	Prec@5 84.375 (82.316)
Epoch: [85][1400/14090]	Time 0.754 (0.767)	Data 0.001 (0.004)	Loss 1.8362 (1.7787)	Prec@1 49.219 (53.131)	Prec@5 78.906 (82.323)
Epoch: [85][1410/14090]	Time 0.725 (0.767)	Data 0.001 (0.004)	Loss 1.7788 (1.7793)	Prec@1 48.438 (53.109)	Prec@5 83.594 (82.316)
Epoch: [85][1420/14090]	Time 0.735 (0.767)	Data 0.001 (0.004)	Loss 2.0986 (1.7794)	Prec@1 44.531 (53.104)	Prec@5 79.688 (82.319)
Epoch: [85][1430/14090]	Time 0.868 (0.767)	Data 0.001 (0.004)	Loss 1.7026 (1.7792)	Prec@1 57.812 (53.101)	Prec@5 85.156 (82.328)
Epoch: [85][1440/14090]	Time 0.731 (0.767)	Data 0.001 (0.004)	Loss 1.9893 (1.7794)	Prec@1 51.562 (53.096)	Prec@5 78.125 (82.316)
Epoch: [85][1450/14090]	Time 0.741 (0.766)	Data 0.001 (0.004)	Loss 1.8423 (1.7797)	Prec@1 55.469 (53.093)	Prec@5 81.250 (82.313)
Epoch: [85][1460/14090]	Time 0.752 (0.766)	Data 0.001 (0.004)	Loss 1.6191 (1.7796)	Prec@1 53.906 (53.086)	Prec@5 83.594 (82.324)
Epoch: [85][1470/14090]	Time 0.787 (0.766)	Data 0.001 (0.004)	Loss 1.8078 (1.7795)	Prec@1 51.562 (53.087)	Prec@5 82.031 (82.332)
Epoch: [85][1480/14090]	Time 0.736 (0.766)	Data 0.001 (0.004)	Loss 1.7146 (1.7796)	Prec@1 56.250 (53.091)	Prec@5 81.250 (82.322)
Epoch: [85][1490/14090]	Time 0.762 (0.766)	Data 0.001 (0.004)	Loss 1.9569 (1.7798)	Prec@1 51.562 (53.087)	Prec@5 81.250 (82.310)
Epoch: [85][1500/14090]	Time 0.897 (0.766)	Data 0.001 (0.004)	Loss 1.8715 (1.7795)	Prec@1 50.781 (53.092)	Prec@5 80.469 (82.314)
Epoch: [85][1510/14090]	Time 0.784 (0.766)	Data 0.001 (0.004)	Loss 1.8650 (1.7796)	Prec@1 51.562 (53.098)	Prec@5 82.812 (82.317)
Epoch: [85][1520/14090]	Time 0.748 (0.766)	Data 0.001 (0.004)	Loss 1.7767 (1.7798)	Prec@1 51.562 (53.095)	Prec@5 83.594 (82.320)
Epoch: [85][1530/14090]	Time 0.772 (0.766)	Data 0.001 (0.004)	Loss 1.8219 (1.7804)	Prec@1 48.438 (53.082)	Prec@5 82.031 (82.309)
Epoch: [85][1540/14090]	Time 0.776 (0.766)	Data 0.001 (0.004)	Loss 1.9219 (1.7804)	Prec@1 51.562 (53.067)	Prec@5 78.906 (82.314)
Epoch: [85][1550/14090]	Time 0.773 (0.766)	Data 0.001 (0.004)	Loss 1.9347 (1.7805)	Prec@1 50.000 (53.067)	Prec@5 84.375 (82.317)
Epoch: [85][1560/14090]	Time 0.753 (0.766)	Data 0.001 (0.004)	Loss 1.9219 (1.7803)	Prec@1 53.125 (53.073)	Prec@5 78.125 (82.323)
Epoch: [85][1570/14090]	Time 0.865 (0.766)	Data 0.001 (0.004)	Loss 1.8649 (1.7800)	Prec@1 53.906 (53.078)	Prec@5 77.344 (82.326)
Epoch: [85][1580/14090]	Time 0.772 (0.766)	Data 0.001 (0.004)	Loss 1.9066 (1.7800)	Prec@1 52.344 (53.087)	Prec@5 78.906 (82.321)
Epoch: [85][1590/14090]	Time 0.768 (0.766)	Data 0.001 (0.004)	Loss 1.9360 (1.7801)	Prec@1 45.312 (53.072)	Prec@5 82.812 (82.326)
Epoch: [85][1600/14090]	Time 0.771 (0.766)	Data 0.001 (0.004)	Loss 1.6145 (1.7801)	Prec@1 57.812 (53.076)	Prec@5 85.156 (82.318)
Epoch: [85][1610/14090]	Time 0.763 (0.766)	Data 0.001 (0.004)	Loss 1.8084 (1.7801)	Prec@1 53.125 (53.078)	Prec@5 82.812 (82.317)
Epoch: [85][1620/14090]	Time 0.728 (0.766)	Data 0.001 (0.004)	Loss 2.0184 (1.7802)	Prec@1 49.219 (53.089)	Prec@5 78.906 (82.314)
Epoch: [85][1630/14090]	Time 0.732 (0.766)	Data 0.003 (0.004)	Loss 1.7451 (1.7806)	Prec@1 51.562 (53.080)	Prec@5 85.938 (82.314)
Epoch: [85][1640/14090]	Time 0.839 (0.766)	Data 0.001 (0.004)	Loss 1.7822 (1.7805)	Prec@1 53.125 (53.083)	Prec@5 83.594 (82.313)
Epoch: [85][1650/14090]	Time 0.776 (0.766)	Data 0.001 (0.004)	Loss 1.5767 (1.7802)	Prec@1 56.250 (53.089)	Prec@5 84.375 (82.320)
Epoch: [85][1660/14090]	Time 0.745 (0.766)	Data 0.001 (0.004)	Loss 1.6572 (1.7803)	Prec@1 57.031 (53.084)	Prec@5 82.812 (82.320)
Epoch: [85][1670/14090]	Time 0.741 (0.766)	Data 0.001 (0.004)	Loss 1.5730 (1.7799)	Prec@1 57.812 (53.098)	Prec@5 87.500 (82.324)
Epoch: [85][1680/14090]	Time 0.778 (0.766)	Data 0.001 (0.004)	Loss 1.4761 (1.7794)	Prec@1 60.938 (53.109)	Prec@5 87.500 (82.331)
Epoch: [85][1690/14090]	Time 0.736 (0.766)	Data 0.001 (0.004)	Loss 1.7944 (1.7793)	Prec@1 50.000 (53.110)	Prec@5 83.594 (82.332)
Epoch: [85][1700/14090]	Time 0.771 (0.766)	Data 0.001 (0.004)	Loss 1.5357 (1.7791)	Prec@1 57.031 (53.112)	Prec@5 85.156 (82.330)
Epoch: [85][1710/14090]	Time 0.818 (0.766)	Data 0.001 (0.004)	Loss 1.5820 (1.7788)	Prec@1 60.938 (53.117)	Prec@5 83.594 (82.338)
Epoch: [85][1720/14090]	Time 0.727 (0.766)	Data 0.001 (0.004)	Loss 1.8355 (1.7790)	Prec@1 52.344 (53.117)	Prec@5 80.469 (82.332)
Epoch: [85][1730/14090]	Time 0.732 (0.766)	Data 0.001 (0.004)	Loss 2.0581 (1.7794)	Prec@1 46.875 (53.111)	Prec@5 76.562 (82.326)
Epoch: [85][1740/14090]	Time 0.781 (0.766)	Data 0.001 (0.004)	Loss 1.7138 (1.7793)	Prec@1 57.031 (53.119)	Prec@5 83.594 (82.332)
Epoch: [85][1750/14090]	Time 0.751 (0.766)	Data 0.001 (0.004)	Loss 1.9029 (1.7791)	Prec@1 46.875 (53.123)	Prec@5 78.125 (82.329)
Epoch: [85][1760/14090]	Time 0.757 (0.766)	Data 0.001 (0.004)	Loss 1.8308 (1.7796)	Prec@1 51.562 (53.123)	Prec@5 82.812 (82.322)
Epoch: [85][1770/14090]	Time 0.770 (0.766)	Data 0.001 (0.004)	Loss 1.4995 (1.7791)	Prec@1 57.812 (53.141)	Prec@5 85.938 (82.333)
Epoch: [85][1780/14090]	Time 0.818 (0.766)	Data 0.001 (0.004)	Loss 1.6570 (1.7789)	Prec@1 52.344 (53.141)	Prec@5 85.938 (82.341)
Epoch: [85][1790/14090]	Time 0.729 (0.766)	Data 0.001 (0.004)	Loss 1.4982 (1.7783)	Prec@1 60.938 (53.155)	Prec@5 85.156 (82.347)
Epoch: [85][1800/14090]	Time 0.722 (0.766)	Data 0.001 (0.004)	Loss 1.7448 (1.7780)	Prec@1 49.219 (53.159)	Prec@5 79.688 (82.350)
Epoch: [85][1810/14090]	Time 0.730 (0.766)	Data 0.001 (0.004)	Loss 1.4413 (1.7777)	Prec@1 62.500 (53.171)	Prec@5 88.281 (82.348)
Epoch: [85][1820/14090]	Time 0.729 (0.766)	Data 0.001 (0.004)	Loss 1.6419 (1.7777)	Prec@1 57.812 (53.164)	Prec@5 84.375 (82.345)
Epoch: [85][1830/14090]	Time 0.762 (0.766)	Data 0.001 (0.004)	Loss 1.8554 (1.7776)	Prec@1 53.125 (53.171)	Prec@5 85.156 (82.351)
Epoch: [85][1840/14090]	Time 0.776 (0.766)	Data 0.001 (0.004)	Loss 2.2973 (1.7776)	Prec@1 38.281 (53.162)	Prec@5 72.656 (82.348)
Epoch: [85][1850/14090]	Time 0.861 (0.766)	Data 0.001 (0.004)	Loss 1.8051 (1.7778)	Prec@1 50.781 (53.162)	Prec@5 82.031 (82.343)
Epoch: [85][1860/14090]	Time 0.735 (0.766)	Data 0.001 (0.004)	Loss 1.7205 (1.7777)	Prec@1 60.938 (53.164)	Prec@5 81.250 (82.338)
Epoch: [85][1870/14090]	Time 0.732 (0.766)	Data 0.001 (0.003)	Loss 2.0754 (1.7784)	Prec@1 41.406 (53.152)	Prec@5 77.344 (82.328)
Epoch: [85][1880/14090]	Time 0.758 (0.766)	Data 0.001 (0.003)	Loss 1.6058 (1.7786)	Prec@1 60.938 (53.152)	Prec@5 82.812 (82.319)
Epoch: [85][1890/14090]	Time 0.747 (0.765)	Data 0.001 (0.003)	Loss 1.7167 (1.7787)	Prec@1 55.469 (53.147)	Prec@5 80.469 (82.318)
Epoch: [85][1900/14090]	Time 0.725 (0.765)	Data 0.001 (0.003)	Loss 1.8244 (1.7786)	Prec@1 52.344 (53.150)	Prec@5 82.812 (82.315)
Epoch: [85][1910/14090]	Time 0.765 (0.765)	Data 0.001 (0.003)	Loss 1.7034 (1.7785)	Prec@1 57.031 (53.155)	Prec@5 84.375 (82.314)
Epoch: [85][1920/14090]	Time 0.877 (0.765)	Data 0.001 (0.003)	Loss 2.1098 (1.7787)	Prec@1 46.094 (53.153)	Prec@5 78.906 (82.309)
Epoch: [85][1930/14090]	Time 0.723 (0.765)	Data 0.001 (0.003)	Loss 1.6144 (1.7787)	Prec@1 56.250 (53.145)	Prec@5 85.156 (82.310)
Epoch: [85][1940/14090]	Time 0.760 (0.765)	Data 0.001 (0.003)	Loss 1.8379 (1.7787)	Prec@1 54.688 (53.148)	Prec@5 79.688 (82.308)
Epoch: [85][1950/14090]	Time 0.762 (0.765)	Data 0.001 (0.003)	Loss 2.0909 (1.7786)	Prec@1 50.000 (53.152)	Prec@5 75.781 (82.314)
Epoch: [85][1960/14090]	Time 0.739 (0.765)	Data 0.001 (0.003)	Loss 1.8961 (1.7786)	Prec@1 50.781 (53.153)	Prec@5 78.906 (82.316)
Epoch: [85][1970/14090]	Time 0.762 (0.765)	Data 0.001 (0.003)	Loss 2.1102 (1.7789)	Prec@1 42.969 (53.152)	Prec@5 77.344 (82.316)
Epoch: [85][1980/14090]	Time 0.747 (0.765)	Data 0.001 (0.003)	Loss 1.8326 (1.7794)	Prec@1 48.438 (53.142)	Prec@5 85.156 (82.314)
Epoch: [85][1990/14090]	Time 0.884 (0.765)	Data 0.001 (0.003)	Loss 1.8339 (1.7794)	Prec@1 49.219 (53.142)	Prec@5 81.250 (82.317)
Epoch: [85][2000/14090]	Time 0.735 (0.765)	Data 0.001 (0.003)	Loss 1.8066 (1.7796)	Prec@1 47.656 (53.137)	Prec@5 83.594 (82.320)
Epoch: [85][2010/14090]	Time 0.729 (0.765)	Data 0.001 (0.003)	Loss 1.7019 (1.7798)	Prec@1 57.812 (53.131)	Prec@5 84.375 (82.320)
Epoch: [85][2020/14090]	Time 0.762 (0.765)	Data 0.001 (0.003)	Loss 1.9441 (1.7795)	Prec@1 48.438 (53.146)	Prec@5 79.688 (82.324)
Epoch: [85][2030/14090]	Time 0.761 (0.765)	Data 0.001 (0.003)	Loss 1.8161 (1.7793)	Prec@1 45.312 (53.147)	Prec@5 78.125 (82.328)
Epoch: [85][2040/14090]	Time 0.762 (0.765)	Data 0.001 (0.003)	Loss 1.5635 (1.7789)	Prec@1 57.031 (53.152)	Prec@5 84.375 (82.340)
Epoch: [85][2050/14090]	Time 0.751 (0.765)	Data 0.001 (0.003)	Loss 1.5856 (1.7788)	Prec@1 60.938 (53.162)	Prec@5 86.719 (82.338)
Epoch: [85][2060/14090]	Time 0.822 (0.765)	Data 0.001 (0.003)	Loss 1.7909 (1.7788)	Prec@1 48.438 (53.159)	Prec@5 88.281 (82.337)
Epoch: [85][2070/14090]	Time 0.741 (0.765)	Data 0.001 (0.003)	Loss 1.7818 (1.7786)	Prec@1 50.000 (53.164)	Prec@5 80.469 (82.332)
Epoch: [85][2080/14090]	Time 0.750 (0.765)	Data 0.001 (0.003)	Loss 1.6688 (1.7787)	Prec@1 58.594 (53.160)	Prec@5 82.812 (82.334)
Epoch: [85][2090/14090]	Time 0.740 (0.765)	Data 0.001 (0.003)	Loss 1.6267 (1.7787)	Prec@1 57.812 (53.161)	Prec@5 85.938 (82.333)
Epoch: [85][2100/14090]	Time 0.731 (0.765)	Data 0.001 (0.003)	Loss 1.6180 (1.7787)	Prec@1 57.031 (53.164)	Prec@5 83.594 (82.334)
Epoch: [85][2110/14090]	Time 0.760 (0.765)	Data 0.001 (0.003)	Loss 1.5508 (1.7790)	Prec@1 56.250 (53.162)	Prec@5 87.500 (82.333)
Epoch: [85][2120/14090]	Time 0.722 (0.765)	Data 0.001 (0.003)	Loss 1.7569 (1.7792)	Prec@1 53.125 (53.148)	Prec@5 82.812 (82.332)
Epoch: [85][2130/14090]	Time 0.846 (0.765)	Data 0.001 (0.003)	Loss 1.5842 (1.7791)	Prec@1 57.812 (53.153)	Prec@5 82.812 (82.332)
Epoch: [85][2140/14090]	Time 0.740 (0.765)	Data 0.001 (0.003)	Loss 1.7575 (1.7792)	Prec@1 51.562 (53.149)	Prec@5 84.375 (82.335)
Epoch: [85][2150/14090]	Time 0.747 (0.765)	Data 0.001 (0.003)	Loss 1.8856 (1.7794)	Prec@1 52.344 (53.146)	Prec@5 78.125 (82.335)
Epoch: [85][2160/14090]	Time 0.734 (0.765)	Data 0.001 (0.003)	Loss 1.8087 (1.7794)	Prec@1 47.656 (53.141)	Prec@5 85.938 (82.336)
Epoch: [85][2170/14090]	Time 0.750 (0.765)	Data 0.001 (0.003)	Loss 1.7671 (1.7793)	Prec@1 57.812 (53.151)	Prec@5 83.594 (82.336)
Epoch: [85][2180/14090]	Time 0.738 (0.765)	Data 0.001 (0.003)	Loss 2.0843 (1.7792)	Prec@1 46.875 (53.148)	Prec@5 77.344 (82.334)
Epoch: [85][2190/14090]	Time 0.768 (0.765)	Data 0.001 (0.003)	Loss 1.7185 (1.7798)	Prec@1 53.906 (53.130)	Prec@5 87.500 (82.330)
Epoch: [85][2200/14090]	Time 0.875 (0.765)	Data 0.001 (0.003)	Loss 1.7733 (1.7792)	Prec@1 51.562 (53.134)	Prec@5 82.812 (82.337)
Epoch: [85][2210/14090]	Time 0.732 (0.765)	Data 0.001 (0.003)	Loss 1.7096 (1.7790)	Prec@1 50.781 (53.133)	Prec@5 81.250 (82.341)
Epoch: [85][2220/14090]	Time 0.765 (0.765)	Data 0.001 (0.003)	Loss 2.0272 (1.7788)	Prec@1 45.312 (53.136)	Prec@5 81.250 (82.346)
Epoch: [85][2230/14090]	Time 0.782 (0.765)	Data 0.001 (0.003)	Loss 1.3625 (1.7784)	Prec@1 63.281 (53.149)	Prec@5 89.062 (82.355)
Epoch: [85][2240/14090]	Time 0.745 (0.765)	Data 0.001 (0.003)	Loss 1.7527 (1.7786)	Prec@1 53.125 (53.150)	Prec@5 82.812 (82.354)
Epoch: [85][2250/14090]	Time 0.751 (0.765)	Data 0.001 (0.003)	Loss 1.6119 (1.7788)	Prec@1 57.812 (53.148)	Prec@5 86.719 (82.355)
Epoch: [85][2260/14090]	Time 0.741 (0.765)	Data 0.001 (0.003)	Loss 1.7096 (1.7788)	Prec@1 57.031 (53.145)	Prec@5 85.938 (82.356)
Epoch: [85][2270/14090]	Time 0.871 (0.765)	Data 0.001 (0.003)	Loss 1.7876 (1.7786)	Prec@1 47.656 (53.144)	Prec@5 84.375 (82.362)
Epoch: [85][2280/14090]	Time 0.728 (0.765)	Data 0.001 (0.003)	Loss 1.9353 (1.7785)	Prec@1 50.781 (53.145)	Prec@5 77.344 (82.360)
Epoch: [85][2290/14090]	Time 0.739 (0.765)	Data 0.001 (0.003)	Loss 1.7121 (1.7783)	Prec@1 57.031 (53.152)	Prec@5 78.906 (82.358)
Epoch: [85][2300/14090]	Time 0.727 (0.765)	Data 0.001 (0.003)	Loss 1.6781 (1.7784)	Prec@1 54.688 (53.156)	Prec@5 86.719 (82.352)
Epoch: [85][2310/14090]	Time 0.769 (0.765)	Data 0.001 (0.003)	Loss 1.7650 (1.7786)	Prec@1 50.000 (53.147)	Prec@5 82.812 (82.346)
Epoch: [85][2320/14090]	Time 0.741 (0.765)	Data 0.001 (0.003)	Loss 1.6364 (1.7784)	Prec@1 55.469 (53.145)	Prec@5 85.938 (82.350)
Epoch: [85][2330/14090]	Time 0.729 (0.765)	Data 0.001 (0.003)	Loss 1.5491 (1.7783)	Prec@1 59.375 (53.151)	Prec@5 85.938 (82.354)
Epoch: [85][2340/14090]	Time 0.809 (0.765)	Data 0.001 (0.003)	Loss 2.1339 (1.7783)	Prec@1 42.969 (53.144)	Prec@5 76.562 (82.356)
Epoch: [85][2350/14090]	Time 0.754 (0.765)	Data 0.001 (0.003)	Loss 1.4024 (1.7783)	Prec@1 67.188 (53.148)	Prec@5 88.281 (82.359)
Epoch: [85][2360/14090]	Time 0.751 (0.765)	Data 0.001 (0.003)	Loss 1.5107 (1.7784)	Prec@1 55.469 (53.145)	Prec@5 89.062 (82.360)
Epoch: [85][2370/14090]	Time 0.742 (0.765)	Data 0.001 (0.003)	Loss 1.8099 (1.7784)	Prec@1 53.906 (53.147)	Prec@5 81.250 (82.359)
Epoch: [85][2380/14090]	Time 0.752 (0.765)	Data 0.001 (0.003)	Loss 1.8166 (1.7785)	Prec@1 51.562 (53.152)	Prec@5 82.031 (82.353)
Epoch: [85][2390/14090]	Time 0.747 (0.765)	Data 0.001 (0.003)	Loss 1.8379 (1.7785)	Prec@1 50.000 (53.160)	Prec@5 81.250 (82.349)
Epoch: [85][2400/14090]	Time 0.735 (0.765)	Data 0.001 (0.003)	Loss 1.6104 (1.7785)	Prec@1 57.031 (53.165)	Prec@5 83.594 (82.349)
Epoch: [85][2410/14090]	Time 0.834 (0.765)	Data 0.001 (0.003)	Loss 1.5771 (1.7782)	Prec@1 62.500 (53.177)	Prec@5 85.938 (82.352)
Epoch: [85][2420/14090]	Time 0.740 (0.765)	Data 0.001 (0.003)	Loss 1.9266 (1.7784)	Prec@1 46.875 (53.172)	Prec@5 81.250 (82.353)
Epoch: [85][2430/14090]	Time 0.732 (0.765)	Data 0.001 (0.003)	Loss 1.6756 (1.7787)	Prec@1 55.469 (53.165)	Prec@5 86.719 (82.345)
Epoch: [85][2440/14090]	Time 0.747 (0.765)	Data 0.001 (0.003)	Loss 1.8406 (1.7792)	Prec@1 52.344 (53.158)	Prec@5 82.812 (82.333)
Epoch: [85][2450/14090]	Time 0.732 (0.765)	Data 0.001 (0.003)	Loss 1.6914 (1.7792)	Prec@1 58.594 (53.153)	Prec@5 81.250 (82.334)
Epoch: [85][2460/14090]	Time 0.763 (0.765)	Data 0.001 (0.003)	Loss 1.7945 (1.7792)	Prec@1 53.125 (53.156)	Prec@5 81.250 (82.333)
Epoch: [85][2470/14090]	Time 0.784 (0.765)	Data 0.001 (0.003)	Loss 1.5968 (1.7790)	Prec@1 55.469 (53.153)	Prec@5 85.938 (82.337)
Epoch: [85][2480/14090]	Time 0.853 (0.765)	Data 0.001 (0.003)	Loss 1.8582 (1.7788)	Prec@1 50.000 (53.163)	Prec@5 82.031 (82.337)
Epoch: [85][2490/14090]	Time 0.738 (0.765)	Data 0.001 (0.003)	Loss 1.7753 (1.7789)	Prec@1 55.469 (53.165)	Prec@5 86.719 (82.340)
Epoch: [85][2500/14090]	Time 0.725 (0.765)	Data 0.001 (0.003)	Loss 1.9330 (1.7790)	Prec@1 52.344 (53.166)	Prec@5 77.344 (82.334)
Epoch: [85][2510/14090]	Time 0.757 (0.765)	Data 0.001 (0.003)	Loss 1.9493 (1.7789)	Prec@1 53.906 (53.167)	Prec@5 78.125 (82.336)
Epoch: [85][2520/14090]	Time 0.749 (0.765)	Data 0.001 (0.003)	Loss 1.7097 (1.7787)	Prec@1 53.125 (53.167)	Prec@5 83.594 (82.343)
Epoch: [85][2530/14090]	Time 0.732 (0.765)	Data 0.001 (0.003)	Loss 1.6408 (1.7784)	Prec@1 60.156 (53.177)	Prec@5 80.469 (82.351)
Epoch: [85][2540/14090]	Time 0.729 (0.765)	Data 0.001 (0.003)	Loss 1.8124 (1.7786)	Prec@1 54.688 (53.173)	Prec@5 84.375 (82.353)
Epoch: [85][2550/14090]	Time 0.881 (0.765)	Data 0.001 (0.003)	Loss 1.8154 (1.7787)	Prec@1 52.344 (53.166)	Prec@5 80.469 (82.347)
Epoch: [85][2560/14090]	Time 0.751 (0.765)	Data 0.001 (0.003)	Loss 1.9541 (1.7786)	Prec@1 46.875 (53.165)	Prec@5 82.031 (82.351)
Epoch: [85][2570/14090]	Time 0.731 (0.765)	Data 0.001 (0.003)	Loss 1.6799 (1.7784)	Prec@1 50.781 (53.173)	Prec@5 84.375 (82.356)
Epoch: [85][2580/14090]	Time 0.741 (0.765)	Data 0.001 (0.003)	Loss 1.8347 (1.7783)	Prec@1 57.031 (53.175)	Prec@5 78.906 (82.354)
Epoch: [85][2590/14090]	Time 0.764 (0.765)	Data 0.003 (0.003)	Loss 1.6508 (1.7779)	Prec@1 58.594 (53.185)	Prec@5 84.375 (82.363)
Epoch: [85][2600/14090]	Time 0.755 (0.765)	Data 0.001 (0.003)	Loss 1.5600 (1.7781)	Prec@1 59.375 (53.178)	Prec@5 88.281 (82.357)
Epoch: [85][2610/14090]	Time 0.757 (0.765)	Data 0.001 (0.003)	Loss 1.7554 (1.7782)	Prec@1 53.906 (53.176)	Prec@5 82.031 (82.358)
Epoch: [85][2620/14090]	Time 0.989 (0.765)	Data 0.001 (0.003)	Loss 1.7566 (1.7783)	Prec@1 50.781 (53.176)	Prec@5 78.125 (82.352)
Epoch: [85][2630/14090]	Time 0.730 (0.765)	Data 0.001 (0.003)	Loss 1.5432 (1.7784)	Prec@1 56.250 (53.175)	Prec@5 85.938 (82.354)
Epoch: [85][2640/14090]	Time 0.757 (0.765)	Data 0.001 (0.003)	Loss 1.6555 (1.7786)	Prec@1 54.688 (53.166)	Prec@5 82.031 (82.351)
Epoch: [85][2650/14090]	Time 0.724 (0.765)	Data 0.001 (0.003)	Loss 1.8256 (1.7785)	Prec@1 48.438 (53.164)	Prec@5 75.781 (82.348)
Epoch: [85][2660/14090]	Time 0.749 (0.765)	Data 0.001 (0.003)	Loss 1.8186 (1.7787)	Prec@1 53.906 (53.168)	Prec@5 81.250 (82.345)
Epoch: [85][2670/14090]	Time 0.768 (0.765)	Data 0.001 (0.003)	Loss 1.6703 (1.7786)	Prec@1 60.156 (53.169)	Prec@5 81.250 (82.344)
Epoch: [85][2680/14090]	Time 0.726 (0.765)	Data 0.001 (0.003)	Loss 1.8225 (1.7787)	Prec@1 50.781 (53.168)	Prec@5 78.906 (82.341)
Epoch: [85][2690/14090]	Time 0.865 (0.765)	Data 0.001 (0.003)	Loss 1.8528 (1.7786)	Prec@1 53.125 (53.165)	Prec@5 79.688 (82.344)
Epoch: [85][2700/14090]	Time 0.731 (0.765)	Data 0.001 (0.003)	Loss 1.6422 (1.7786)	Prec@1 59.375 (53.155)	Prec@5 82.031 (82.345)
Epoch: [85][2710/14090]	Time 0.730 (0.765)	Data 0.001 (0.003)	Loss 1.8407 (1.7787)	Prec@1 51.562 (53.153)	Prec@5 80.469 (82.345)
Epoch: [85][2720/14090]	Time 0.744 (0.765)	Data 0.001 (0.003)	Loss 1.8843 (1.7789)	Prec@1 50.000 (53.149)	Prec@5 79.688 (82.342)
Epoch: [85][2730/14090]	Time 0.736 (0.765)	Data 0.001 (0.003)	Loss 1.5833 (1.7793)	Prec@1 53.906 (53.136)	Prec@5 86.719 (82.331)
Epoch: [85][2740/14090]	Time 0.731 (0.765)	Data 0.001 (0.003)	Loss 1.7604 (1.7794)	Prec@1 54.688 (53.133)	Prec@5 82.812 (82.331)
Epoch: [85][2750/14090]	Time 0.749 (0.765)	Data 0.001 (0.003)	Loss 1.8228 (1.7794)	Prec@1 52.344 (53.132)	Prec@5 80.469 (82.333)
Epoch: [85][2760/14090]	Time 0.852 (0.765)	Data 0.001 (0.003)	Loss 1.6073 (1.7793)	Prec@1 57.031 (53.135)	Prec@5 86.719 (82.333)
Epoch: [85][2770/14090]	Time 0.747 (0.765)	Data 0.001 (0.003)	Loss 2.0694 (1.7795)	Prec@1 52.344 (53.135)	Prec@5 78.125 (82.333)
Epoch: [85][2780/14090]	Time 0.744 (0.765)	Data 0.001 (0.003)	Loss 1.5344 (1.7793)	Prec@1 57.812 (53.138)	Prec@5 84.375 (82.335)
Epoch: [85][2790/14090]	Time 0.754 (0.765)	Data 0.001 (0.003)	Loss 1.5454 (1.7794)	Prec@1 55.469 (53.131)	Prec@5 86.719 (82.332)
Epoch: [85][2800/14090]	Time 0.738 (0.765)	Data 0.001 (0.003)	Loss 1.7805 (1.7792)	Prec@1 59.375 (53.141)	Prec@5 82.031 (82.333)
Epoch: [85][2810/14090]	Time 0.755 (0.765)	Data 0.001 (0.003)	Loss 1.9359 (1.7793)	Prec@1 47.656 (53.140)	Prec@5 78.906 (82.329)
Epoch: [85][2820/14090]	Time 0.771 (0.765)	Data 0.001 (0.003)	Loss 2.1209 (1.7796)	Prec@1 43.750 (53.138)	Prec@5 75.781 (82.323)
Epoch: [85][2830/14090]	Time 0.909 (0.765)	Data 0.001 (0.003)	Loss 1.7374 (1.7797)	Prec@1 51.562 (53.135)	Prec@5 85.938 (82.319)
Epoch: [85][2840/14090]	Time 0.741 (0.765)	Data 0.001 (0.003)	Loss 1.9554 (1.7796)	Prec@1 48.438 (53.137)	Prec@5 81.250 (82.322)
Epoch: [85][2850/14090]	Time 0.729 (0.765)	Data 0.001 (0.003)	Loss 1.6344 (1.7797)	Prec@1 55.469 (53.133)	Prec@5 85.938 (82.324)
Epoch: [85][2860/14090]	Time 0.777 (0.765)	Data 0.001 (0.003)	Loss 1.7610 (1.7794)	Prec@1 57.031 (53.145)	Prec@5 79.688 (82.326)
Epoch: [85][2870/14090]	Time 0.736 (0.765)	Data 0.001 (0.003)	Loss 1.8280 (1.7794)	Prec@1 50.781 (53.142)	Prec@5 82.031 (82.329)
Epoch: [85][2880/14090]	Time 0.742 (0.765)	Data 0.001 (0.003)	Loss 1.8002 (1.7793)	Prec@1 49.219 (53.146)	Prec@5 82.031 (82.333)
Epoch: [85][2890/14090]	Time 0.754 (0.765)	Data 0.001 (0.003)	Loss 2.0088 (1.7791)	Prec@1 45.312 (53.147)	Prec@5 78.125 (82.337)
Epoch: [85][2900/14090]	Time 0.853 (0.765)	Data 0.001 (0.003)	Loss 1.7933 (1.7792)	Prec@1 50.000 (53.145)	Prec@5 83.594 (82.336)
Epoch: [85][2910/14090]	Time 0.730 (0.765)	Data 0.004 (0.003)	Loss 1.7590 (1.7793)	Prec@1 53.906 (53.143)	Prec@5 79.688 (82.332)
Epoch: [85][2920/14090]	Time 0.723 (0.765)	Data 0.001 (0.003)	Loss 1.8517 (1.7795)	Prec@1 51.562 (53.140)	Prec@5 82.812 (82.335)
Epoch: [85][2930/14090]	Time 0.727 (0.765)	Data 0.001 (0.003)	Loss 1.7614 (1.7799)	Prec@1 56.250 (53.130)	Prec@5 83.594 (82.327)
Epoch: [85][2940/14090]	Time 0.731 (0.765)	Data 0.001 (0.003)	Loss 1.6747 (1.7798)	Prec@1 53.906 (53.131)	Prec@5 84.375 (82.326)
Epoch: [85][2950/14090]	Time 0.735 (0.765)	Data 0.001 (0.003)	Loss 1.6686 (1.7796)	Prec@1 49.219 (53.134)	Prec@5 89.062 (82.331)
Epoch: [85][2960/14090]	Time 0.736 (0.765)	Data 0.001 (0.003)	Loss 1.7968 (1.7797)	Prec@1 54.688 (53.127)	Prec@5 81.250 (82.329)
Epoch: [85][2970/14090]	Time 0.852 (0.765)	Data 0.001 (0.003)	Loss 1.8663 (1.7800)	Prec@1 57.812 (53.122)	Prec@5 76.562 (82.327)
Epoch: [85][2980/14090]	Time 0.750 (0.765)	Data 0.001 (0.003)	Loss 1.7505 (1.7802)	Prec@1 50.000 (53.121)	Prec@5 83.594 (82.320)
Epoch: [85][2990/14090]	Time 0.721 (0.765)	Data 0.001 (0.002)	Loss 1.8606 (1.7806)	Prec@1 49.219 (53.108)	Prec@5 80.469 (82.317)
Epoch: [85][3000/14090]	Time 0.779 (0.765)	Data 0.001 (0.002)	Loss 1.8412 (1.7803)	Prec@1 51.562 (53.117)	Prec@5 82.031 (82.323)
Epoch: [85][3010/14090]	Time 0.728 (0.765)	Data 0.001 (0.002)	Loss 1.7821 (1.7803)	Prec@1 61.719 (53.120)	Prec@5 83.594 (82.321)
Epoch: [85][3020/14090]	Time 0.749 (0.765)	Data 0.001 (0.002)	Loss 1.7626 (1.7803)	Prec@1 53.906 (53.114)	Prec@5 85.156 (82.321)
Epoch: [85][3030/14090]	Time 0.773 (0.765)	Data 0.001 (0.002)	Loss 1.5993 (1.7801)	Prec@1 54.688 (53.118)	Prec@5 89.062 (82.328)
Epoch: [85][3040/14090]	Time 0.832 (0.765)	Data 0.001 (0.002)	Loss 2.0263 (1.7801)	Prec@1 50.781 (53.120)	Prec@5 80.469 (82.328)
Epoch: [85][3050/14090]	Time 0.743 (0.765)	Data 0.001 (0.002)	Loss 1.8661 (1.7802)	Prec@1 45.312 (53.116)	Prec@5 82.812 (82.334)
Epoch: [85][3060/14090]	Time 0.744 (0.765)	Data 0.001 (0.002)	Loss 1.5918 (1.7801)	Prec@1 59.375 (53.118)	Prec@5 86.719 (82.336)
Epoch: [85][3070/14090]	Time 0.772 (0.765)	Data 0.001 (0.002)	Loss 1.5317 (1.7802)	Prec@1 61.719 (53.114)	Prec@5 85.156 (82.333)
Epoch: [85][3080/14090]	Time 0.729 (0.765)	Data 0.001 (0.002)	Loss 1.7103 (1.7804)	Prec@1 59.375 (53.106)	Prec@5 84.375 (82.327)
Epoch: [85][3090/14090]	Time 0.737 (0.765)	Data 0.001 (0.002)	Loss 1.7789 (1.7804)	Prec@1 53.125 (53.112)	Prec@5 84.375 (82.329)
Epoch: [85][3100/14090]	Time 0.766 (0.765)	Data 0.001 (0.002)	Loss 1.8407 (1.7804)	Prec@1 50.000 (53.108)	Prec@5 82.031 (82.332)
Epoch: [85][3110/14090]	Time 0.931 (0.765)	Data 0.001 (0.002)	Loss 1.7048 (1.7804)	Prec@1 57.031 (53.111)	Prec@5 82.031 (82.332)
Epoch: [85][3120/14090]	Time 0.752 (0.765)	Data 0.001 (0.002)	Loss 1.8144 (1.7804)	Prec@1 49.219 (53.114)	Prec@5 83.594 (82.328)
Epoch: [85][3130/14090]	Time 0.740 (0.765)	Data 0.001 (0.002)	Loss 1.5516 (1.7802)	Prec@1 55.469 (53.115)	Prec@5 89.062 (82.332)
Epoch: [85][3140/14090]	Time 0.742 (0.765)	Data 0.001 (0.002)	Loss 1.6905 (1.7804)	Prec@1 53.125 (53.111)	Prec@5 85.938 (82.329)
Epoch: [85][3150/14090]	Time 0.750 (0.765)	Data 0.001 (0.002)	Loss 2.0765 (1.7805)	Prec@1 42.188 (53.106)	Prec@5 77.344 (82.332)
Epoch: [85][3160/14090]	Time 0.733 (0.765)	Data 0.001 (0.002)	Loss 2.1477 (1.7809)	Prec@1 45.312 (53.097)	Prec@5 75.781 (82.326)
Epoch: [85][3170/14090]	Time 0.747 (0.765)	Data 0.001 (0.002)	Loss 1.7318 (1.7806)	Prec@1 53.906 (53.103)	Prec@5 85.156 (82.334)
Epoch: [85][3180/14090]	Time 0.840 (0.765)	Data 0.001 (0.002)	Loss 2.1184 (1.7804)	Prec@1 48.438 (53.108)	Prec@5 76.562 (82.334)
Epoch: [85][3190/14090]	Time 0.748 (0.765)	Data 0.001 (0.002)	Loss 1.7101 (1.7807)	Prec@1 53.906 (53.104)	Prec@5 82.812 (82.326)
Epoch: [85][3200/14090]	Time 0.750 (0.765)	Data 0.001 (0.002)	Loss 1.7738 (1.7807)	Prec@1 50.000 (53.108)	Prec@5 81.250 (82.325)
Epoch: [85][3210/14090]	Time 0.750 (0.765)	Data 0.001 (0.002)	Loss 1.7331 (1.7807)	Prec@1 53.906 (53.109)	Prec@5 85.938 (82.324)
Epoch: [85][3220/14090]	Time 0.745 (0.765)	Data 0.001 (0.002)	Loss 1.6641 (1.7806)	Prec@1 55.469 (53.111)	Prec@5 83.594 (82.325)
Epoch: [85][3230/14090]	Time 0.740 (0.765)	Data 0.001 (0.002)	Loss 1.7058 (1.7805)	Prec@1 50.000 (53.113)	Prec@5 88.281 (82.324)
Epoch: [85][3240/14090]	Time 0.737 (0.765)	Data 0.001 (0.002)	Loss 1.6864 (1.7805)	Prec@1 55.469 (53.111)	Prec@5 82.031 (82.326)
Epoch: [85][3250/14090]	Time 0.864 (0.765)	Data 0.001 (0.002)	Loss 1.5931 (1.7805)	Prec@1 57.031 (53.115)	Prec@5 84.375 (82.325)
Epoch: [85][3260/14090]	Time 0.758 (0.765)	Data 0.001 (0.002)	Loss 1.7145 (1.7802)	Prec@1 57.812 (53.122)	Prec@5 83.594 (82.330)
Epoch: [85][3270/14090]	Time 0.760 (0.765)	Data 0.001 (0.002)	Loss 1.7408 (1.7800)	Prec@1 50.781 (53.128)	Prec@5 82.812 (82.334)
Epoch: [85][3280/14090]	Time 0.773 (0.765)	Data 0.001 (0.002)	Loss 1.7077 (1.7799)	Prec@1 57.812 (53.132)	Prec@5 82.812 (82.335)
Epoch: [85][3290/14090]	Time 0.772 (0.765)	Data 0.001 (0.002)	Loss 2.0248 (1.7798)	Prec@1 45.312 (53.131)	Prec@5 79.688 (82.337)
Epoch: [85][3300/14090]	Time 0.754 (0.765)	Data 0.001 (0.002)	Loss 1.9169 (1.7795)	Prec@1 50.000 (53.137)	Prec@5 82.812 (82.344)
Epoch: [85][3310/14090]	Time 0.732 (0.765)	Data 0.001 (0.002)	Loss 1.8532 (1.7796)	Prec@1 46.875 (53.131)	Prec@5 83.594 (82.344)
Epoch: [85][3320/14090]	Time 0.858 (0.765)	Data 0.001 (0.002)	Loss 1.9563 (1.7798)	Prec@1 54.688 (53.129)	Prec@5 78.125 (82.341)
Epoch: [85][3330/14090]	Time 0.732 (0.765)	Data 0.001 (0.002)	Loss 1.9709 (1.7799)	Prec@1 50.781 (53.124)	Prec@5 81.250 (82.341)
Epoch: [85][3340/14090]	Time 0.736 (0.765)	Data 0.001 (0.002)	Loss 1.7278 (1.7800)	Prec@1 47.656 (53.125)	Prec@5 85.938 (82.344)
Epoch: [85][3350/14090]	Time 0.750 (0.765)	Data 0.001 (0.002)	Loss 1.6976 (1.7801)	Prec@1 56.250 (53.122)	Prec@5 83.594 (82.341)
Epoch: [85][3360/14090]	Time 0.735 (0.765)	Data 0.001 (0.002)	Loss 1.9946 (1.7803)	Prec@1 46.094 (53.114)	Prec@5 78.906 (82.337)
Epoch: [85][3370/14090]	Time 0.739 (0.765)	Data 0.001 (0.002)	Loss 1.9657 (1.7803)	Prec@1 50.781 (53.118)	Prec@5 76.562 (82.336)
Epoch: [85][3380/14090]	Time 0.752 (0.765)	Data 0.001 (0.002)	Loss 1.8891 (1.7803)	Prec@1 46.875 (53.120)	Prec@5 82.812 (82.337)
Epoch: [85][3390/14090]	Time 0.846 (0.765)	Data 0.001 (0.002)	Loss 1.6114 (1.7802)	Prec@1 56.250 (53.122)	Prec@5 86.719 (82.337)
Epoch: [85][3400/14090]	Time 0.729 (0.765)	Data 0.001 (0.002)	Loss 2.0255 (1.7803)	Prec@1 45.312 (53.115)	Prec@5 75.000 (82.332)
Epoch: [85][3410/14090]	Time 0.740 (0.765)	Data 0.001 (0.002)	Loss 1.8620 (1.7800)	Prec@1 45.312 (53.115)	Prec@5 83.594 (82.337)
Epoch: [85][3420/14090]	Time 0.756 (0.765)	Data 0.001 (0.002)	Loss 1.7502 (1.7801)	Prec@1 55.469 (53.116)	Prec@5 84.375 (82.336)
Epoch: [85][3430/14090]	Time 0.752 (0.765)	Data 0.001 (0.002)	Loss 1.8702 (1.7802)	Prec@1 50.000 (53.112)	Prec@5 78.125 (82.334)
Epoch: [85][3440/14090]	Time 0.759 (0.765)	Data 0.001 (0.002)	Loss 1.9190 (1.7804)	Prec@1 43.750 (53.108)	Prec@5 81.250 (82.332)
Epoch: [85][3450/14090]	Time 0.762 (0.765)	Data 0.001 (0.002)	Loss 1.3344 (1.7804)	Prec@1 64.062 (53.111)	Prec@5 90.625 (82.336)
Epoch: [85][3460/14090]	Time 0.873 (0.765)	Data 0.001 (0.002)	Loss 1.6950 (1.7805)	Prec@1 55.469 (53.112)	Prec@5 82.031 (82.335)
Epoch: [85][3470/14090]	Time 0.758 (0.765)	Data 0.001 (0.002)	Loss 1.8709 (1.7803)	Prec@1 51.562 (53.117)	Prec@5 83.594 (82.342)
Epoch: [85][3480/14090]	Time 0.733 (0.765)	Data 0.001 (0.002)	Loss 1.7365 (1.7802)	Prec@1 50.781 (53.116)	Prec@5 84.375 (82.343)
Epoch: [85][3490/14090]	Time 0.747 (0.765)	Data 0.001 (0.002)	Loss 1.7410 (1.7801)	Prec@1 53.906 (53.119)	Prec@5 84.375 (82.346)
Epoch: [85][3500/14090]	Time 0.730 (0.765)	Data 0.001 (0.002)	Loss 1.5722 (1.7798)	Prec@1 60.938 (53.126)	Prec@5 89.062 (82.352)
Epoch: [85][3510/14090]	Time 0.772 (0.765)	Data 0.001 (0.002)	Loss 1.7806 (1.7797)	Prec@1 58.594 (53.133)	Prec@5 77.344 (82.355)
Epoch: [85][3520/14090]	Time 0.766 (0.765)	Data 0.001 (0.002)	Loss 1.9925 (1.7800)	Prec@1 46.875 (53.120)	Prec@5 78.125 (82.349)
Epoch: [85][3530/14090]	Time 0.841 (0.765)	Data 0.001 (0.002)	Loss 1.7943 (1.7801)	Prec@1 51.562 (53.122)	Prec@5 79.688 (82.348)
Epoch: [85][3540/14090]	Time 0.740 (0.765)	Data 0.001 (0.002)	Loss 1.6701 (1.7800)	Prec@1 53.906 (53.128)	Prec@5 85.938 (82.352)
Epoch: [85][3550/14090]	Time 0.785 (0.764)	Data 0.001 (0.002)	Loss 1.8102 (1.7802)	Prec@1 51.562 (53.124)	Prec@5 84.375 (82.351)
Epoch: [85][3560/14090]	Time 0.751 (0.764)	Data 0.001 (0.002)	Loss 1.7819 (1.7802)	Prec@1 55.469 (53.124)	Prec@5 82.031 (82.354)
Epoch: [85][3570/14090]	Time 0.781 (0.764)	Data 0.001 (0.002)	Loss 1.6657 (1.7803)	Prec@1 56.250 (53.125)	Prec@5 79.688 (82.347)
Epoch: [85][3580/14090]	Time 0.733 (0.765)	Data 0.001 (0.002)	Loss 1.8464 (1.7804)	Prec@1 57.031 (53.123)	Prec@5 82.031 (82.346)
Epoch: [85][3590/14090]	Time 0.779 (0.765)	Data 0.001 (0.002)	Loss 1.8209 (1.7802)	Prec@1 54.688 (53.124)	Prec@5 84.375 (82.350)
Epoch: [85][3600/14090]	Time 0.876 (0.765)	Data 0.001 (0.002)	Loss 1.7442 (1.7803)	Prec@1 52.344 (53.122)	Prec@5 82.031 (82.350)
Epoch: [85][3610/14090]	Time 0.727 (0.764)	Data 0.001 (0.002)	Loss 2.0203 (1.7803)	Prec@1 46.875 (53.119)	Prec@5 79.688 (82.351)
Epoch: [85][3620/14090]	Time 0.768 (0.764)	Data 0.001 (0.002)	Loss 1.5290 (1.7801)	Prec@1 60.156 (53.126)	Prec@5 85.156 (82.356)
Epoch: [85][3630/14090]	Time 0.747 (0.764)	Data 0.001 (0.002)	Loss 1.7557 (1.7802)	Prec@1 55.469 (53.121)	Prec@5 85.156 (82.355)
Epoch: [85][3640/14090]	Time 0.739 (0.764)	Data 0.001 (0.002)	Loss 1.6170 (1.7800)	Prec@1 57.812 (53.124)	Prec@5 85.156 (82.359)
Epoch: [85][3650/14090]	Time 0.736 (0.764)	Data 0.001 (0.002)	Loss 1.6896 (1.7798)	Prec@1 53.906 (53.132)	Prec@5 83.594 (82.362)
Epoch: [85][3660/14090]	Time 0.735 (0.764)	Data 0.001 (0.002)	Loss 1.8142 (1.7800)	Prec@1 46.875 (53.125)	Prec@5 85.156 (82.357)
Epoch: [85][3670/14090]	Time 0.849 (0.764)	Data 0.001 (0.002)	Loss 1.6479 (1.7799)	Prec@1 54.688 (53.123)	Prec@5 84.375 (82.360)
Epoch: [85][3680/14090]	Time 0.747 (0.764)	Data 0.001 (0.002)	Loss 1.7535 (1.7803)	Prec@1 60.156 (53.113)	Prec@5 78.125 (82.351)
Epoch: [85][3690/14090]	Time 0.752 (0.764)	Data 0.001 (0.002)	Loss 1.6547 (1.7803)	Prec@1 53.906 (53.109)	Prec@5 86.719 (82.349)
Epoch: [85][3700/14090]	Time 0.740 (0.764)	Data 0.001 (0.002)	Loss 1.9636 (1.7804)	Prec@1 53.125 (53.111)	Prec@5 81.250 (82.350)
Epoch: [85][3710/14090]	Time 0.766 (0.764)	Data 0.001 (0.002)	Loss 1.7761 (1.7801)	Prec@1 54.688 (53.117)	Prec@5 82.812 (82.354)
Epoch: [85][3720/14090]	Time 0.743 (0.764)	Data 0.001 (0.002)	Loss 1.6053 (1.7800)	Prec@1 57.812 (53.114)	Prec@5 86.719 (82.357)
Epoch: [85][3730/14090]	Time 0.722 (0.764)	Data 0.001 (0.002)	Loss 1.8351 (1.7800)	Prec@1 48.438 (53.114)	Prec@5 82.031 (82.356)
Epoch: [85][3740/14090]	Time 0.877 (0.764)	Data 0.001 (0.002)	Loss 1.5733 (1.7800)	Prec@1 59.375 (53.114)	Prec@5 85.156 (82.357)
Epoch: [85][3750/14090]	Time 0.747 (0.764)	Data 0.001 (0.002)	Loss 1.7493 (1.7797)	Prec@1 50.781 (53.118)	Prec@5 82.031 (82.361)
Epoch: [85][3760/14090]	Time 0.752 (0.764)	Data 0.001 (0.002)	Loss 1.7679 (1.7798)	Prec@1 53.906 (53.115)	Prec@5 85.156 (82.362)
Epoch: [85][3770/14090]	Time 0.731 (0.764)	Data 0.001 (0.002)	Loss 1.5401 (1.7797)	Prec@1 59.375 (53.119)	Prec@5 87.500 (82.363)
Epoch: [85][3780/14090]	Time 0.742 (0.764)	Data 0.001 (0.002)	Loss 1.7640 (1.7796)	Prec@1 50.781 (53.120)	Prec@5 80.469 (82.359)
Epoch: [85][3790/14090]	Time 0.766 (0.764)	Data 0.001 (0.002)	Loss 1.5741 (1.7795)	Prec@1 56.250 (53.121)	Prec@5 82.812 (82.363)
Epoch: [85][3800/14090]	Time 0.741 (0.764)	Data 0.001 (0.002)	Loss 1.6942 (1.7795)	Prec@1 51.562 (53.117)	Prec@5 84.375 (82.363)
Epoch: [85][3810/14090]	Time 0.859 (0.764)	Data 0.001 (0.002)	Loss 1.8935 (1.7796)	Prec@1 50.000 (53.118)	Prec@5 82.812 (82.364)
Epoch: [85][3820/14090]	Time 0.753 (0.764)	Data 0.001 (0.002)	Loss 1.7923 (1.7799)	Prec@1 52.344 (53.113)	Prec@5 83.594 (82.359)
Epoch: [85][3830/14090]	Time 0.730 (0.764)	Data 0.001 (0.002)	Loss 1.8314 (1.7799)	Prec@1 52.344 (53.111)	Prec@5 80.469 (82.360)
Epoch: [85][3840/14090]	Time 0.744 (0.764)	Data 0.001 (0.002)	Loss 1.8084 (1.7802)	Prec@1 50.781 (53.104)	Prec@5 79.688 (82.355)
Epoch: [85][3850/14090]	Time 0.741 (0.764)	Data 0.001 (0.002)	Loss 1.5831 (1.7802)	Prec@1 55.469 (53.105)	Prec@5 87.500 (82.353)
Epoch: [85][3860/14090]	Time 0.748 (0.764)	Data 0.000 (0.002)	Loss 2.0730 (1.7803)	Prec@1 47.656 (53.103)	Prec@5 77.344 (82.351)
Epoch: [85][3870/14090]	Time 0.740 (0.764)	Data 0.001 (0.002)	Loss 1.8942 (1.7803)	Prec@1 52.344 (53.105)	Prec@5 80.469 (82.353)
Epoch: [85][3880/14090]	Time 0.890 (0.764)	Data 0.001 (0.002)	Loss 1.6297 (1.7802)	Prec@1 55.469 (53.107)	Prec@5 82.812 (82.357)
Epoch: [85][3890/14090]	Time 0.746 (0.764)	Data 0.001 (0.002)	Loss 1.6366 (1.7802)	Prec@1 55.469 (53.106)	Prec@5 87.500 (82.356)
Epoch: [85][3900/14090]	Time 0.749 (0.764)	Data 0.001 (0.002)	Loss 1.8335 (1.7802)	Prec@1 50.000 (53.107)	Prec@5 81.250 (82.357)
Epoch: [85][3910/14090]	Time 0.762 (0.764)	Data 0.001 (0.002)	Loss 1.6003 (1.7805)	Prec@1 60.156 (53.103)	Prec@5 84.375 (82.353)
Epoch: [85][3920/14090]	Time 0.753 (0.764)	Data 0.001 (0.002)	Loss 1.8215 (1.7806)	Prec@1 50.000 (53.102)	Prec@5 82.031 (82.351)
Epoch: [85][3930/14090]	Time 0.760 (0.764)	Data 0.001 (0.002)	Loss 1.6635 (1.7807)	Prec@1 60.938 (53.102)	Prec@5 83.594 (82.352)
Epoch: [85][3940/14090]	Time 0.729 (0.764)	Data 0.001 (0.002)	Loss 1.9016 (1.7808)	Prec@1 45.312 (53.101)	Prec@5 81.250 (82.352)
Epoch: [85][3950/14090]	Time 0.887 (0.764)	Data 0.001 (0.002)	Loss 1.9903 (1.7809)	Prec@1 53.125 (53.101)	Prec@5 75.781 (82.350)
Epoch: [85][3960/14090]	Time 0.741 (0.764)	Data 0.001 (0.002)	Loss 1.7143 (1.7809)	Prec@1 57.812 (53.104)	Prec@5 82.812 (82.350)
Epoch: [85][3970/14090]	Time 0.745 (0.764)	Data 0.001 (0.002)	Loss 1.6747 (1.7810)	Prec@1 54.688 (53.101)	Prec@5 82.031 (82.349)
Epoch: [85][3980/14090]	Time 0.737 (0.764)	Data 0.001 (0.002)	Loss 1.5249 (1.7810)	Prec@1 60.156 (53.102)	Prec@5 85.938 (82.347)
Epoch: [85][3990/14090]	Time 0.760 (0.764)	Data 0.001 (0.002)	Loss 1.9825 (1.7811)	Prec@1 50.781 (53.100)	Prec@5 78.125 (82.342)
Epoch: [85][4000/14090]	Time 0.749 (0.764)	Data 0.001 (0.002)	Loss 1.7933 (1.7811)	Prec@1 49.219 (53.098)	Prec@5 83.594 (82.339)
Epoch: [85][4010/14090]	Time 0.733 (0.764)	Data 0.001 (0.002)	Loss 1.6544 (1.7809)	Prec@1 53.906 (53.105)	Prec@5 86.719 (82.344)
Epoch: [85][4020/14090]	Time 0.887 (0.764)	Data 0.001 (0.002)	Loss 1.5770 (1.7810)	Prec@1 63.281 (53.108)	Prec@5 83.594 (82.341)
Epoch: [85][4030/14090]	Time 0.740 (0.764)	Data 0.001 (0.002)	Loss 1.9205 (1.7811)	Prec@1 48.438 (53.104)	Prec@5 80.469 (82.339)
Epoch: [85][4040/14090]	Time 0.730 (0.764)	Data 0.001 (0.002)	Loss 1.7792 (1.7813)	Prec@1 54.688 (53.099)	Prec@5 81.250 (82.334)
Epoch: [85][4050/14090]	Time 0.744 (0.764)	Data 0.001 (0.002)	Loss 1.7978 (1.7810)	Prec@1 52.344 (53.104)	Prec@5 80.469 (82.339)
Epoch: [85][4060/14090]	Time 0.754 (0.764)	Data 0.001 (0.002)	Loss 1.7225 (1.7808)	Prec@1 53.125 (53.111)	Prec@5 85.938 (82.340)
Epoch: [85][4070/14090]	Time 0.736 (0.764)	Data 0.001 (0.002)	Loss 1.8757 (1.7808)	Prec@1 51.562 (53.111)	Prec@5 82.812 (82.340)
Epoch: [85][4080/14090]	Time 0.732 (0.764)	Data 0.001 (0.002)	Loss 1.6478 (1.7809)	Prec@1 60.938 (53.111)	Prec@5 82.812 (82.340)
Epoch: [85][4090/14090]	Time 0.865 (0.764)	Data 0.001 (0.002)	Loss 1.7523 (1.7809)	Prec@1 53.125 (53.114)	Prec@5 83.594 (82.339)
Epoch: [85][4100/14090]	Time 0.754 (0.764)	Data 0.001 (0.002)	Loss 1.9976 (1.7809)	Prec@1 55.469 (53.117)	Prec@5 79.688 (82.339)
Epoch: [85][4110/14090]	Time 0.746 (0.764)	Data 0.001 (0.002)	Loss 2.0069 (1.7808)	Prec@1 51.562 (53.122)	Prec@5 77.344 (82.341)
Epoch: [85][4120/14090]	Time 0.734 (0.764)	Data 0.001 (0.002)	Loss 1.5853 (1.7809)	Prec@1 56.250 (53.120)	Prec@5 83.594 (82.336)
Epoch: [85][4130/14090]	Time 0.732 (0.764)	Data 0.001 (0.002)	Loss 1.5961 (1.7810)	Prec@1 60.938 (53.115)	Prec@5 80.469 (82.336)
Epoch: [85][4140/14090]	Time 0.747 (0.764)	Data 0.001 (0.002)	Loss 1.8284 (1.7812)	Prec@1 52.344 (53.110)	Prec@5 80.469 (82.333)
Epoch: [85][4150/14090]	Time 0.758 (0.764)	Data 0.001 (0.002)	Loss 2.0654 (1.7813)	Prec@1 48.438 (53.107)	Prec@5 78.125 (82.334)
Epoch: [85][4160/14090]	Time 0.854 (0.764)	Data 0.001 (0.002)	Loss 1.9266 (1.7812)	Prec@1 53.906 (53.110)	Prec@5 81.250 (82.332)
Epoch: [85][4170/14090]	Time 0.730 (0.764)	Data 0.001 (0.002)	Loss 1.5432 (1.7812)	Prec@1 61.719 (53.113)	Prec@5 85.156 (82.335)
Epoch: [85][4180/14090]	Time 0.733 (0.764)	Data 0.001 (0.002)	Loss 1.5926 (1.7810)	Prec@1 56.250 (53.110)	Prec@5 85.938 (82.339)
Epoch: [85][4190/14090]	Time 0.752 (0.764)	Data 0.001 (0.002)	Loss 1.8712 (1.7810)	Prec@1 48.438 (53.111)	Prec@5 81.250 (82.338)
Epoch: [85][4200/14090]	Time 0.768 (0.764)	Data 0.001 (0.002)	Loss 1.9668 (1.7812)	Prec@1 55.469 (53.107)	Prec@5 82.031 (82.335)
Epoch: [85][4210/14090]	Time 0.756 (0.764)	Data 0.001 (0.002)	Loss 1.7593 (1.7812)	Prec@1 52.344 (53.106)	Prec@5 82.812 (82.334)
Epoch: [85][4220/14090]	Time 0.778 (0.764)	Data 0.003 (0.002)	Loss 1.9634 (1.7812)	Prec@1 46.875 (53.102)	Prec@5 81.250 (82.335)
Epoch: [85][4230/14090]	Time 0.869 (0.764)	Data 0.001 (0.002)	Loss 1.8194 (1.7814)	Prec@1 49.219 (53.094)	Prec@5 82.812 (82.334)
Epoch: [85][4240/14090]	Time 0.762 (0.764)	Data 0.001 (0.002)	Loss 1.9241 (1.7813)	Prec@1 51.562 (53.098)	Prec@5 75.781 (82.335)
Epoch: [85][4250/14090]	Time 0.758 (0.764)	Data 0.001 (0.002)	Loss 1.8108 (1.7814)	Prec@1 47.656 (53.096)	Prec@5 82.031 (82.332)
Epoch: [85][4260/14090]	Time 0.764 (0.764)	Data 0.001 (0.002)	Loss 1.7355 (1.7815)	Prec@1 58.594 (53.094)	Prec@5 78.906 (82.331)
Epoch: [85][4270/14090]	Time 0.740 (0.764)	Data 0.001 (0.002)	Loss 1.7054 (1.7815)	Prec@1 53.125 (53.095)	Prec@5 84.375 (82.331)
Epoch: [85][4280/14090]	Time 0.729 (0.764)	Data 0.001 (0.002)	Loss 1.8459 (1.7816)	Prec@1 53.906 (53.090)	Prec@5 79.688 (82.331)
Epoch: [85][4290/14090]	Time 0.735 (0.764)	Data 0.001 (0.002)	Loss 1.7747 (1.7816)	Prec@1 50.781 (53.091)	Prec@5 82.812 (82.332)
Epoch: [85][4300/14090]	Time 0.893 (0.764)	Data 0.001 (0.002)	Loss 1.7936 (1.7816)	Prec@1 53.125 (53.088)	Prec@5 82.031 (82.333)
Epoch: [85][4310/14090]	Time 0.754 (0.764)	Data 0.001 (0.002)	Loss 1.6540 (1.7816)	Prec@1 57.812 (53.091)	Prec@5 84.375 (82.332)
Epoch: [85][4320/14090]	Time 0.786 (0.764)	Data 0.001 (0.002)	Loss 1.4317 (1.7815)	Prec@1 57.812 (53.093)	Prec@5 86.719 (82.332)
Epoch: [85][4330/14090]	Time 0.746 (0.764)	Data 0.001 (0.002)	Loss 1.8048 (1.7817)	Prec@1 56.250 (53.093)	Prec@5 81.250 (82.329)
Epoch: [85][4340/14090]	Time 0.724 (0.764)	Data 0.001 (0.002)	Loss 1.7288 (1.7816)	Prec@1 54.688 (53.097)	Prec@5 81.250 (82.330)
Epoch: [85][4350/14090]	Time 0.756 (0.764)	Data 0.001 (0.002)	Loss 1.6999 (1.7816)	Prec@1 56.250 (53.098)	Prec@5 81.250 (82.329)
Epoch: [85][4360/14090]	Time 0.775 (0.764)	Data 0.001 (0.002)	Loss 1.8551 (1.7816)	Prec@1 50.781 (53.096)	Prec@5 79.688 (82.327)
Epoch: [85][4370/14090]	Time 0.886 (0.764)	Data 0.001 (0.002)	Loss 1.9813 (1.7817)	Prec@1 49.219 (53.096)	Prec@5 81.250 (82.326)
Epoch: [85][4380/14090]	Time 0.750 (0.764)	Data 0.001 (0.002)	Loss 1.7766 (1.7817)	Prec@1 57.031 (53.097)	Prec@5 83.594 (82.326)
Epoch: [85][4390/14090]	Time 0.743 (0.764)	Data 0.001 (0.002)	Loss 1.6192 (1.7817)	Prec@1 55.469 (53.097)	Prec@5 87.500 (82.329)
Epoch: [85][4400/14090]	Time 0.733 (0.764)	Data 0.001 (0.002)	Loss 1.9410 (1.7817)	Prec@1 49.219 (53.093)	Prec@5 80.469 (82.332)
Epoch: [85][4410/14090]	Time 0.732 (0.764)	Data 0.001 (0.002)	Loss 1.6908 (1.7816)	Prec@1 58.594 (53.097)	Prec@5 80.469 (82.330)
Epoch: [85][4420/14090]	Time 0.744 (0.764)	Data 0.001 (0.002)	Loss 1.5807 (1.7813)	Prec@1 54.688 (53.102)	Prec@5 83.594 (82.335)
Epoch: [85][4430/14090]	Time 0.733 (0.764)	Data 0.001 (0.002)	Loss 1.5939 (1.7813)	Prec@1 55.469 (53.102)	Prec@5 85.156 (82.336)
Epoch: [85][4440/14090]	Time 0.844 (0.764)	Data 0.001 (0.002)	Loss 1.9008 (1.7813)	Prec@1 48.438 (53.101)	Prec@5 77.344 (82.332)
Epoch: [85][4450/14090]	Time 0.737 (0.764)	Data 0.001 (0.002)	Loss 2.0840 (1.7814)	Prec@1 42.969 (53.099)	Prec@5 78.906 (82.331)
Epoch: [85][4460/14090]	Time 0.727 (0.764)	Data 0.001 (0.002)	Loss 1.7582 (1.7814)	Prec@1 53.906 (53.100)	Prec@5 82.031 (82.330)
Epoch: [85][4470/14090]	Time 0.779 (0.764)	Data 0.001 (0.002)	Loss 1.5813 (1.7815)	Prec@1 57.812 (53.094)	Prec@5 84.375 (82.328)
Epoch: [85][4480/14090]	Time 0.746 (0.764)	Data 0.001 (0.002)	Loss 1.8349 (1.7817)	Prec@1 49.219 (53.095)	Prec@5 82.812 (82.329)
Epoch: [85][4490/14090]	Time 0.754 (0.764)	Data 0.001 (0.002)	Loss 1.7379 (1.7815)	Prec@1 56.250 (53.099)	Prec@5 84.375 (82.331)
Epoch: [85][4500/14090]	Time 0.756 (0.764)	Data 0.001 (0.002)	Loss 1.9913 (1.7816)	Prec@1 49.219 (53.099)	Prec@5 78.906 (82.329)
Epoch: [85][4510/14090]	Time 0.867 (0.764)	Data 0.001 (0.002)	Loss 1.8517 (1.7817)	Prec@1 48.438 (53.096)	Prec@5 81.250 (82.327)
Epoch: [85][4520/14090]	Time 0.734 (0.764)	Data 0.001 (0.002)	Loss 1.8368 (1.7817)	Prec@1 50.781 (53.092)	Prec@5 85.156 (82.327)
Epoch: [85][4530/14090]	Time 0.719 (0.764)	Data 0.001 (0.002)	Loss 1.7277 (1.7817)	Prec@1 56.250 (53.091)	Prec@5 82.812 (82.326)
Epoch: [85][4540/14090]	Time 0.760 (0.764)	Data 0.001 (0.002)	Loss 1.6652 (1.7815)	Prec@1 59.375 (53.098)	Prec@5 84.375 (82.330)
Epoch: [85][4550/14090]	Time 0.733 (0.764)	Data 0.001 (0.002)	Loss 2.1068 (1.7816)	Prec@1 46.094 (53.097)	Prec@5 75.781 (82.328)
Epoch: [85][4560/14090]	Time 0.751 (0.764)	Data 0.001 (0.002)	Loss 1.5511 (1.7815)	Prec@1 53.125 (53.097)	Prec@5 84.375 (82.328)
Epoch: [85][4570/14090]	Time 0.726 (0.764)	Data 0.001 (0.002)	Loss 2.2277 (1.7817)	Prec@1 45.312 (53.097)	Prec@5 73.438 (82.325)
Epoch: [85][4580/14090]	Time 0.841 (0.764)	Data 0.001 (0.002)	Loss 1.9385 (1.7817)	Prec@1 50.000 (53.097)	Prec@5 77.344 (82.320)
Epoch: [85][4590/14090]	Time 0.761 (0.764)	Data 0.001 (0.002)	Loss 1.8307 (1.7817)	Prec@1 50.781 (53.099)	Prec@5 81.250 (82.320)
Epoch: [85][4600/14090]	Time 0.728 (0.764)	Data 0.001 (0.002)	Loss 1.8902 (1.7819)	Prec@1 52.344 (53.096)	Prec@5 79.688 (82.314)
Epoch: [85][4610/14090]	Time 0.751 (0.764)	Data 0.001 (0.002)	Loss 1.7566 (1.7818)	Prec@1 48.438 (53.098)	Prec@5 80.469 (82.314)
Epoch: [85][4620/14090]	Time 0.765 (0.764)	Data 0.001 (0.002)	Loss 1.7648 (1.7818)	Prec@1 49.219 (53.098)	Prec@5 81.250 (82.315)
Epoch: [85][4630/14090]	Time 0.755 (0.764)	Data 0.001 (0.002)	Loss 1.8545 (1.7816)	Prec@1 46.875 (53.104)	Prec@5 82.812 (82.319)
Epoch: [85][4640/14090]	Time 0.773 (0.764)	Data 0.001 (0.002)	Loss 1.8371 (1.7816)	Prec@1 48.438 (53.101)	Prec@5 87.500 (82.317)
Epoch: [85][4650/14090]	Time 0.880 (0.764)	Data 0.003 (0.002)	Loss 2.2058 (1.7816)	Prec@1 42.188 (53.101)	Prec@5 76.562 (82.319)
Epoch: [85][4660/14090]	Time 0.725 (0.764)	Data 0.001 (0.002)	Loss 1.9746 (1.7817)	Prec@1 49.219 (53.102)	Prec@5 76.562 (82.321)
Epoch: [85][4670/14090]	Time 0.764 (0.764)	Data 0.001 (0.002)	Loss 1.7759 (1.7818)	Prec@1 53.906 (53.098)	Prec@5 79.688 (82.319)
Epoch: [85][4680/14090]	Time 0.754 (0.764)	Data 0.001 (0.002)	Loss 1.6592 (1.7819)	Prec@1 53.906 (53.091)	Prec@5 85.156 (82.316)
Epoch: [85][4690/14090]	Time 0.753 (0.764)	Data 0.001 (0.002)	Loss 1.7191 (1.7818)	Prec@1 56.250 (53.093)	Prec@5 85.156 (82.320)
Epoch: [85][4700/14090]	Time 0.744 (0.764)	Data 0.001 (0.002)	Loss 1.9566 (1.7818)	Prec@1 51.562 (53.094)	Prec@5 76.562 (82.320)
Epoch: [85][4710/14090]	Time 0.766 (0.764)	Data 0.001 (0.002)	Loss 2.0618 (1.7818)	Prec@1 47.656 (53.094)	Prec@5 78.906 (82.322)
Epoch: [85][4720/14090]	Time 0.825 (0.764)	Data 0.001 (0.002)	Loss 1.7065 (1.7817)	Prec@1 52.344 (53.096)	Prec@5 82.812 (82.323)
Epoch: [85][4730/14090]	Time 0.723 (0.764)	Data 0.001 (0.002)	Loss 1.6980 (1.7816)	Prec@1 52.344 (53.098)	Prec@5 85.156 (82.327)
Epoch: [85][4740/14090]	Time 0.746 (0.764)	Data 0.001 (0.002)	Loss 1.5501 (1.7815)	Prec@1 58.594 (53.100)	Prec@5 86.719 (82.326)
Epoch: [85][4750/14090]	Time 0.746 (0.764)	Data 0.001 (0.002)	Loss 1.8427 (1.7814)	Prec@1 50.781 (53.106)	Prec@5 82.812 (82.328)
Epoch: [85][4760/14090]	Time 0.762 (0.764)	Data 0.001 (0.002)	Loss 1.7988 (1.7815)	Prec@1 50.781 (53.106)	Prec@5 79.688 (82.328)
Epoch: [85][4770/14090]	Time 0.748 (0.764)	Data 0.001 (0.002)	Loss 1.9728 (1.7817)	Prec@1 51.562 (53.100)	Prec@5 75.781 (82.324)
Epoch: [85][4780/14090]	Time 0.730 (0.764)	Data 0.001 (0.002)	Loss 1.8569 (1.7816)	Prec@1 52.344 (53.100)	Prec@5 79.688 (82.327)
Epoch: [85][4790/14090]	Time 0.883 (0.764)	Data 0.001 (0.002)	Loss 1.7136 (1.7816)	Prec@1 62.500 (53.108)	Prec@5 82.812 (82.324)
Epoch: [85][4800/14090]	Time 0.742 (0.764)	Data 0.001 (0.002)	Loss 1.7072 (1.7817)	Prec@1 52.344 (53.108)	Prec@5 79.688 (82.322)
Epoch: [85][4810/14090]	Time 0.747 (0.764)	Data 0.001 (0.002)	Loss 1.7559 (1.7816)	Prec@1 53.125 (53.110)	Prec@5 82.031 (82.321)
Epoch: [85][4820/14090]	Time 0.754 (0.764)	Data 0.001 (0.002)	Loss 1.7160 (1.7817)	Prec@1 57.031 (53.108)	Prec@5 85.938 (82.321)
Epoch: [85][4830/14090]	Time 0.749 (0.764)	Data 0.001 (0.002)	Loss 1.8279 (1.7817)	Prec@1 49.219 (53.108)	Prec@5 84.375 (82.318)
Epoch: [85][4840/14090]	Time 0.748 (0.764)	Data 0.001 (0.002)	Loss 1.7800 (1.7817)	Prec@1 54.688 (53.114)	Prec@5 85.156 (82.318)
Epoch: [85][4850/14090]	Time 0.733 (0.764)	Data 0.001 (0.002)	Loss 1.8966 (1.7819)	Prec@1 52.344 (53.110)	Prec@5 75.781 (82.314)
Epoch: [85][4860/14090]	Time 0.896 (0.764)	Data 0.001 (0.002)	Loss 1.7843 (1.7821)	Prec@1 49.219 (53.108)	Prec@5 78.906 (82.311)
Epoch: [85][4870/14090]	Time 0.739 (0.764)	Data 0.001 (0.002)	Loss 1.8291 (1.7824)	Prec@1 53.906 (53.101)	Prec@5 82.031 (82.305)
Epoch: [85][4880/14090]	Time 0.755 (0.764)	Data 0.001 (0.002)	Loss 1.6766 (1.7824)	Prec@1 54.688 (53.101)	Prec@5 85.156 (82.303)
Epoch: [85][4890/14090]	Time 0.728 (0.764)	Data 0.001 (0.002)	Loss 1.9171 (1.7826)	Prec@1 50.000 (53.099)	Prec@5 82.031 (82.303)
Epoch: [85][4900/14090]	Time 0.727 (0.764)	Data 0.001 (0.002)	Loss 2.2289 (1.7826)	Prec@1 44.531 (53.099)	Prec@5 72.656 (82.300)
Epoch: [85][4910/14090]	Time 0.777 (0.764)	Data 0.001 (0.002)	Loss 1.7996 (1.7827)	Prec@1 52.344 (53.100)	Prec@5 85.156 (82.299)
Epoch: [85][4920/14090]	Time 0.761 (0.764)	Data 0.001 (0.002)	Loss 1.7018 (1.7825)	Prec@1 50.000 (53.101)	Prec@5 86.719 (82.303)
Epoch: [85][4930/14090]	Time 0.847 (0.764)	Data 0.001 (0.002)	Loss 1.4382 (1.7824)	Prec@1 56.250 (53.103)	Prec@5 94.531 (82.308)
Epoch: [85][4940/14090]	Time 0.750 (0.764)	Data 0.001 (0.002)	Loss 1.6615 (1.7823)	Prec@1 59.375 (53.106)	Prec@5 83.594 (82.306)
Epoch: [85][4950/14090]	Time 0.731 (0.764)	Data 0.001 (0.002)	Loss 1.9786 (1.7823)	Prec@1 46.094 (53.108)	Prec@5 77.344 (82.306)
Epoch: [85][4960/14090]	Time 0.752 (0.764)	Data 0.001 (0.002)	Loss 1.7935 (1.7824)	Prec@1 52.344 (53.105)	Prec@5 81.250 (82.304)
Epoch: [85][4970/14090]	Time 0.750 (0.764)	Data 0.001 (0.002)	Loss 1.7996 (1.7825)	Prec@1 52.344 (53.103)	Prec@5 85.156 (82.303)
Epoch: [85][4980/14090]	Time 0.744 (0.764)	Data 0.001 (0.002)	Loss 1.7037 (1.7823)	Prec@1 51.562 (53.106)	Prec@5 83.594 (82.305)
Epoch: [85][4990/14090]	Time 0.744 (0.764)	Data 0.001 (0.002)	Loss 1.7277 (1.7823)	Prec@1 57.031 (53.108)	Prec@5 83.594 (82.306)
Epoch: [85][5000/14090]	Time 0.834 (0.764)	Data 0.001 (0.002)	Loss 2.0553 (1.7823)	Prec@1 45.312 (53.108)	Prec@5 78.125 (82.307)
Epoch: [85][5010/14090]	Time 0.757 (0.764)	Data 0.001 (0.002)	Loss 1.8779 (1.7823)	Prec@1 53.125 (53.111)	Prec@5 81.250 (82.307)
Epoch: [85][5020/14090]	Time 0.758 (0.764)	Data 0.001 (0.002)	Loss 1.7193 (1.7823)	Prec@1 53.906 (53.110)	Prec@5 84.375 (82.307)
Epoch: [85][5030/14090]	Time 0.737 (0.764)	Data 0.001 (0.002)	Loss 1.8750 (1.7823)	Prec@1 52.344 (53.111)	Prec@5 79.688 (82.307)
Epoch: [85][5040/14090]	Time 0.736 (0.764)	Data 0.001 (0.002)	Loss 1.7636 (1.7826)	Prec@1 51.562 (53.101)	Prec@5 85.156 (82.304)
Epoch: [85][5050/14090]	Time 0.728 (0.764)	Data 0.000 (0.002)	Loss 1.6308 (1.7826)	Prec@1 61.719 (53.101)	Prec@5 85.156 (82.303)
Epoch: [85][5060/14090]	Time 0.725 (0.764)	Data 0.001 (0.002)	Loss 1.8404 (1.7825)	Prec@1 57.812 (53.103)	Prec@5 78.125 (82.304)
Epoch: [85][5070/14090]	Time 0.860 (0.764)	Data 0.001 (0.002)	Loss 1.6420 (1.7827)	Prec@1 57.812 (53.102)	Prec@5 83.594 (82.302)
Epoch: [85][5080/14090]	Time 0.751 (0.764)	Data 0.001 (0.002)	Loss 1.7522 (1.7827)	Prec@1 56.250 (53.104)	Prec@5 82.031 (82.301)
Epoch: [85][5090/14090]	Time 0.739 (0.764)	Data 0.001 (0.002)	Loss 1.7730 (1.7827)	Prec@1 56.250 (53.106)	Prec@5 81.250 (82.298)
Epoch: [85][5100/14090]	Time 0.726 (0.764)	Data 0.001 (0.002)	Loss 1.5867 (1.7826)	Prec@1 57.031 (53.108)	Prec@5 86.719 (82.302)
Epoch: [85][5110/14090]	Time 0.735 (0.764)	Data 0.001 (0.002)	Loss 1.6431 (1.7827)	Prec@1 53.906 (53.105)	Prec@5 86.719 (82.302)
Epoch: [85][5120/14090]	Time 0.752 (0.764)	Data 0.001 (0.002)	Loss 1.6915 (1.7827)	Prec@1 56.250 (53.103)	Prec@5 81.250 (82.303)
Epoch: [85][5130/14090]	Time 0.724 (0.764)	Data 0.001 (0.002)	Loss 1.7181 (1.7828)	Prec@1 56.250 (53.102)	Prec@5 82.812 (82.300)
Epoch: [85][5140/14090]	Time 0.829 (0.764)	Data 0.001 (0.002)	Loss 1.6988 (1.7827)	Prec@1 58.594 (53.105)	Prec@5 79.688 (82.300)
Epoch: [85][5150/14090]	Time 0.754 (0.764)	Data 0.001 (0.002)	Loss 1.7204 (1.7827)	Prec@1 53.906 (53.106)	Prec@5 84.375 (82.300)
Epoch: [85][5160/14090]	Time 0.735 (0.764)	Data 0.001 (0.002)	Loss 1.7541 (1.7827)	Prec@1 55.469 (53.104)	Prec@5 82.812 (82.299)
Epoch: [85][5170/14090]	Time 0.751 (0.764)	Data 0.001 (0.002)	Loss 1.8153 (1.7826)	Prec@1 52.344 (53.106)	Prec@5 78.906 (82.300)
Epoch: [85][5180/14090]	Time 0.737 (0.764)	Data 0.001 (0.002)	Loss 1.7394 (1.7827)	Prec@1 58.594 (53.105)	Prec@5 85.938 (82.299)
Epoch: [85][5190/14090]	Time 0.754 (0.764)	Data 0.001 (0.002)	Loss 1.9107 (1.7827)	Prec@1 54.688 (53.107)	Prec@5 82.031 (82.300)
Epoch: [85][5200/14090]	Time 0.744 (0.764)	Data 0.001 (0.002)	Loss 1.8312 (1.7827)	Prec@1 53.906 (53.108)	Prec@5 82.812 (82.300)
Epoch: [85][5210/14090]	Time 0.833 (0.764)	Data 0.001 (0.002)	Loss 1.7085 (1.7827)	Prec@1 52.344 (53.110)	Prec@5 82.812 (82.298)
Epoch: [85][5220/14090]	Time 0.732 (0.764)	Data 0.001 (0.002)	Loss 1.7065 (1.7826)	Prec@1 56.250 (53.108)	Prec@5 83.594 (82.298)
Epoch: [85][5230/14090]	Time 0.738 (0.764)	Data 0.001 (0.002)	Loss 1.7579 (1.7826)	Prec@1 50.781 (53.111)	Prec@5 83.594 (82.298)
Epoch: [85][5240/14090]	Time 0.763 (0.764)	Data 0.001 (0.002)	Loss 1.6456 (1.7826)	Prec@1 55.469 (53.109)	Prec@5 86.719 (82.300)
Epoch: [85][5250/14090]	Time 0.753 (0.764)	Data 0.001 (0.002)	Loss 1.7031 (1.7826)	Prec@1 53.906 (53.106)	Prec@5 80.469 (82.301)
Epoch: [85][5260/14090]	Time 0.766 (0.764)	Data 0.001 (0.002)	Loss 1.8482 (1.7827)	Prec@1 52.344 (53.106)	Prec@5 80.469 (82.297)
Epoch: [85][5270/14090]	Time 0.736 (0.764)	Data 0.001 (0.002)	Loss 1.6546 (1.7827)	Prec@1 57.812 (53.104)	Prec@5 84.375 (82.297)
Epoch: [85][5280/14090]	Time 0.886 (0.764)	Data 0.001 (0.002)	Loss 1.6325 (1.7827)	Prec@1 56.250 (53.104)	Prec@5 85.156 (82.299)
Epoch: [85][5290/14090]	Time 0.729 (0.764)	Data 0.001 (0.002)	Loss 1.5510 (1.7828)	Prec@1 55.469 (53.103)	Prec@5 89.844 (82.297)
Epoch: [85][5300/14090]	Time 0.748 (0.764)	Data 0.001 (0.002)	Loss 1.8875 (1.7827)	Prec@1 50.781 (53.103)	Prec@5 76.562 (82.299)
Epoch: [85][5310/14090]	Time 0.746 (0.764)	Data 0.001 (0.002)	Loss 1.8543 (1.7828)	Prec@1 53.906 (53.101)	Prec@5 84.375 (82.296)
Epoch: [85][5320/14090]	Time 0.733 (0.764)	Data 0.001 (0.002)	Loss 1.4691 (1.7828)	Prec@1 57.031 (53.103)	Prec@5 89.844 (82.296)
Epoch: [85][5330/14090]	Time 0.738 (0.764)	Data 0.001 (0.002)	Loss 1.6154 (1.7827)	Prec@1 55.469 (53.104)	Prec@5 84.375 (82.298)
Epoch: [85][5340/14090]	Time 0.735 (0.764)	Data 0.001 (0.002)	Loss 1.5695 (1.7827)	Prec@1 60.156 (53.107)	Prec@5 85.938 (82.299)
Epoch: [85][5350/14090]	Time 0.925 (0.764)	Data 0.001 (0.002)	Loss 1.7746 (1.7827)	Prec@1 50.781 (53.109)	Prec@5 78.906 (82.296)
Epoch: [85][5360/14090]	Time 0.747 (0.764)	Data 0.001 (0.002)	Loss 1.7215 (1.7827)	Prec@1 53.125 (53.107)	Prec@5 82.812 (82.297)
Epoch: [85][5370/14090]	Time 0.761 (0.764)	Data 0.001 (0.002)	Loss 1.6168 (1.7827)	Prec@1 57.812 (53.109)	Prec@5 88.281 (82.298)
Epoch: [85][5380/14090]	Time 0.745 (0.764)	Data 0.001 (0.002)	Loss 1.7010 (1.7826)	Prec@1 56.250 (53.111)	Prec@5 85.156 (82.298)
Epoch: [85][5390/14090]	Time 0.727 (0.764)	Data 0.001 (0.002)	Loss 1.6756 (1.7825)	Prec@1 59.375 (53.117)	Prec@5 83.594 (82.299)
Epoch: [85][5400/14090]	Time 0.741 (0.764)	Data 0.001 (0.002)	Loss 1.8223 (1.7824)	Prec@1 50.781 (53.115)	Prec@5 83.594 (82.301)
Epoch: [85][5410/14090]	Time 0.774 (0.764)	Data 0.001 (0.002)	Loss 2.0366 (1.7825)	Prec@1 44.531 (53.111)	Prec@5 73.438 (82.300)
Epoch: [85][5420/14090]	Time 0.841 (0.764)	Data 0.001 (0.002)	Loss 1.9971 (1.7827)	Prec@1 49.219 (53.109)	Prec@5 82.031 (82.299)
Epoch: [85][5430/14090]	Time 0.738 (0.764)	Data 0.001 (0.002)	Loss 1.6685 (1.7829)	Prec@1 53.125 (53.104)	Prec@5 85.156 (82.298)
Epoch: [85][5440/14090]	Time 0.739 (0.764)	Data 0.001 (0.002)	Loss 1.8595 (1.7830)	Prec@1 52.344 (53.102)	Prec@5 82.031 (82.296)
Epoch: [85][5450/14090]	Time 0.732 (0.764)	Data 0.001 (0.002)	Loss 1.7913 (1.7831)	Prec@1 58.594 (53.100)	Prec@5 82.031 (82.292)
Epoch: [85][5460/14090]	Time 0.741 (0.764)	Data 0.001 (0.002)	Loss 1.8571 (1.7832)	Prec@1 50.781 (53.095)	Prec@5 84.375 (82.290)
Epoch: [85][5470/14090]	Time 0.780 (0.764)	Data 0.003 (0.002)	Loss 1.7820 (1.7831)	Prec@1 50.000 (53.101)	Prec@5 81.250 (82.292)
Epoch: [85][5480/14090]	Time 0.773 (0.764)	Data 0.001 (0.002)	Loss 1.6555 (1.7832)	Prec@1 54.688 (53.098)	Prec@5 85.156 (82.294)
Epoch: [85][5490/14090]	Time 0.869 (0.764)	Data 0.001 (0.002)	Loss 1.8464 (1.7832)	Prec@1 53.125 (53.099)	Prec@5 82.812 (82.296)
Epoch: [85][5500/14090]	Time 0.753 (0.764)	Data 0.001 (0.002)	Loss 1.6912 (1.7831)	Prec@1 53.125 (53.101)	Prec@5 82.812 (82.298)
Epoch: [85][5510/14090]	Time 0.748 (0.764)	Data 0.001 (0.002)	Loss 1.7944 (1.7832)	Prec@1 49.219 (53.097)	Prec@5 87.500 (82.297)
Epoch: [85][5520/14090]	Time 0.752 (0.764)	Data 0.001 (0.002)	Loss 1.7792 (1.7831)	Prec@1 53.125 (53.098)	Prec@5 79.688 (82.296)
Epoch: [85][5530/14090]	Time 0.747 (0.764)	Data 0.001 (0.002)	Loss 1.7050 (1.7832)	Prec@1 50.781 (53.094)	Prec@5 85.938 (82.298)
Epoch: [85][5540/14090]	Time 0.756 (0.764)	Data 0.001 (0.002)	Loss 1.7989 (1.7833)	Prec@1 49.219 (53.092)	Prec@5 87.500 (82.296)
Epoch: [85][5550/14090]	Time 0.759 (0.764)	Data 0.001 (0.002)	Loss 1.6035 (1.7834)	Prec@1 57.812 (53.092)	Prec@5 83.594 (82.293)
Epoch: [85][5560/14090]	Time 0.856 (0.764)	Data 0.001 (0.002)	Loss 1.5001 (1.7835)	Prec@1 58.594 (53.092)	Prec@5 87.500 (82.293)
Epoch: [85][5570/14090]	Time 0.736 (0.764)	Data 0.001 (0.002)	Loss 1.6984 (1.7835)	Prec@1 53.125 (53.089)	Prec@5 84.375 (82.294)
Epoch: [85][5580/14090]	Time 0.748 (0.764)	Data 0.001 (0.002)	Loss 1.6306 (1.7835)	Prec@1 57.031 (53.087)	Prec@5 85.156 (82.294)
Epoch: [85][5590/14090]	Time 0.762 (0.764)	Data 0.001 (0.002)	Loss 1.9105 (1.7835)	Prec@1 50.781 (53.086)	Prec@5 80.469 (82.295)
Epoch: [85][5600/14090]	Time 0.734 (0.764)	Data 0.001 (0.002)	Loss 1.4101 (1.7835)	Prec@1 60.938 (53.088)	Prec@5 89.844 (82.296)
Epoch: [85][5610/14090]	Time 0.739 (0.764)	Data 0.001 (0.002)	Loss 1.6620 (1.7836)	Prec@1 58.594 (53.086)	Prec@5 83.594 (82.293)
Epoch: [85][5620/14090]	Time 0.751 (0.764)	Data 0.001 (0.002)	Loss 2.2740 (1.7837)	Prec@1 46.875 (53.085)	Prec@5 71.875 (82.288)
Epoch: [85][5630/14090]	Time 0.889 (0.764)	Data 0.001 (0.002)	Loss 1.8751 (1.7836)	Prec@1 48.438 (53.088)	Prec@5 82.812 (82.291)
Epoch: [85][5640/14090]	Time 0.760 (0.764)	Data 0.001 (0.002)	Loss 1.6039 (1.7836)	Prec@1 50.000 (53.086)	Prec@5 85.156 (82.290)
Epoch: [85][5650/14090]	Time 0.753 (0.764)	Data 0.001 (0.002)	Loss 1.7924 (1.7836)	Prec@1 56.250 (53.086)	Prec@5 78.906 (82.288)
Epoch: [85][5660/14090]	Time 0.733 (0.764)	Data 0.001 (0.002)	Loss 1.8947 (1.7837)	Prec@1 46.875 (53.086)	Prec@5 80.469 (82.282)
Epoch: [85][5670/14090]	Time 0.754 (0.764)	Data 0.001 (0.002)	Loss 2.0334 (1.7838)	Prec@1 46.875 (53.085)	Prec@5 75.781 (82.280)
Epoch: [85][5680/14090]	Time 0.740 (0.764)	Data 0.001 (0.002)	Loss 1.9802 (1.7840)	Prec@1 49.219 (53.081)	Prec@5 78.125 (82.276)
Epoch: [85][5690/14090]	Time 0.759 (0.764)	Data 0.001 (0.002)	Loss 2.0478 (1.7842)	Prec@1 43.750 (53.080)	Prec@5 77.344 (82.271)
Epoch: [85][5700/14090]	Time 0.845 (0.764)	Data 0.001 (0.002)	Loss 1.9239 (1.7841)	Prec@1 45.312 (53.081)	Prec@5 80.469 (82.274)
Epoch: [85][5710/14090]	Time 0.725 (0.764)	Data 0.001 (0.002)	Loss 1.4992 (1.7840)	Prec@1 64.844 (53.084)	Prec@5 85.156 (82.274)
Epoch: [85][5720/14090]	Time 0.766 (0.764)	Data 0.001 (0.002)	Loss 1.9751 (1.7841)	Prec@1 46.094 (53.080)	Prec@5 76.562 (82.271)
Epoch: [85][5730/14090]	Time 0.745 (0.764)	Data 0.001 (0.002)	Loss 1.9587 (1.7843)	Prec@1 54.688 (53.078)	Prec@5 78.125 (82.269)
Epoch: [85][5740/14090]	Time 0.738 (0.764)	Data 0.001 (0.002)	Loss 1.8433 (1.7843)	Prec@1 47.656 (53.080)	Prec@5 79.688 (82.269)
Epoch: [85][5750/14090]	Time 0.743 (0.764)	Data 0.001 (0.002)	Loss 2.0288 (1.7844)	Prec@1 50.781 (53.079)	Prec@5 77.344 (82.267)
Epoch: [85][5760/14090]	Time 0.732 (0.764)	Data 0.001 (0.002)	Loss 1.7917 (1.7846)	Prec@1 57.031 (53.074)	Prec@5 84.375 (82.264)
Epoch: [85][5770/14090]	Time 0.835 (0.764)	Data 0.001 (0.002)	Loss 2.1237 (1.7848)	Prec@1 47.656 (53.069)	Prec@5 74.219 (82.259)
Epoch: [85][5780/14090]	Time 0.727 (0.764)	Data 0.001 (0.002)	Loss 1.6654 (1.7849)	Prec@1 53.125 (53.068)	Prec@5 84.375 (82.259)
Epoch: [85][5790/14090]	Time 0.770 (0.764)	Data 0.001 (0.002)	Loss 1.6539 (1.7850)	Prec@1 65.625 (53.066)	Prec@5 82.812 (82.258)
Epoch: [85][5800/14090]	Time 0.748 (0.764)	Data 0.001 (0.002)	Loss 2.0518 (1.7850)	Prec@1 44.531 (53.063)	Prec@5 78.906 (82.260)
Epoch: [85][5810/14090]	Time 0.759 (0.764)	Data 0.001 (0.002)	Loss 1.8440 (1.7849)	Prec@1 52.344 (53.067)	Prec@5 78.125 (82.261)
Epoch: [85][5820/14090]	Time 0.792 (0.764)	Data 0.001 (0.002)	Loss 1.8770 (1.7850)	Prec@1 47.656 (53.067)	Prec@5 82.031 (82.260)
Epoch: [85][5830/14090]	Time 0.752 (0.764)	Data 0.001 (0.002)	Loss 1.6941 (1.7849)	Prec@1 57.031 (53.070)	Prec@5 83.594 (82.260)
Epoch: [85][5840/14090]	Time 0.862 (0.764)	Data 0.001 (0.002)	Loss 1.7458 (1.7850)	Prec@1 56.250 (53.068)	Prec@5 83.594 (82.261)
Epoch: [85][5850/14090]	Time 0.724 (0.764)	Data 0.001 (0.002)	Loss 1.8679 (1.7850)	Prec@1 51.562 (53.065)	Prec@5 80.469 (82.261)
Epoch: [85][5860/14090]	Time 0.765 (0.764)	Data 0.001 (0.002)	Loss 1.7997 (1.7851)	Prec@1 51.562 (53.064)	Prec@5 82.812 (82.259)
Epoch: [85][5870/14090]	Time 0.771 (0.764)	Data 0.001 (0.002)	Loss 1.5999 (1.7851)	Prec@1 56.250 (53.065)	Prec@5 83.594 (82.258)
Epoch: [85][5880/14090]	Time 0.760 (0.764)	Data 0.001 (0.002)	Loss 1.7848 (1.7852)	Prec@1 47.656 (53.061)	Prec@5 82.031 (82.257)
Epoch: [85][5890/14090]	Time 0.739 (0.764)	Data 0.001 (0.002)	Loss 1.7599 (1.7852)	Prec@1 57.031 (53.060)	Prec@5 82.812 (82.255)
Epoch: [85][5900/14090]	Time 0.745 (0.764)	Data 0.001 (0.002)	Loss 1.7141 (1.7853)	Prec@1 57.812 (53.058)	Prec@5 81.250 (82.252)
Epoch: [85][5910/14090]	Time 0.851 (0.764)	Data 0.001 (0.002)	Loss 1.6099 (1.7852)	Prec@1 56.250 (53.061)	Prec@5 85.156 (82.254)
Epoch: [85][5920/14090]	Time 0.737 (0.764)	Data 0.001 (0.002)	Loss 1.7516 (1.7851)	Prec@1 54.688 (53.060)	Prec@5 83.594 (82.258)
Epoch: [85][5930/14090]	Time 0.763 (0.764)	Data 0.001 (0.002)	Loss 1.5957 (1.7850)	Prec@1 57.031 (53.063)	Prec@5 81.250 (82.259)
Epoch: [85][5940/14090]	Time 0.783 (0.764)	Data 0.001 (0.002)	Loss 1.7546 (1.7851)	Prec@1 52.344 (53.065)	Prec@5 78.125 (82.257)
Epoch: [85][5950/14090]	Time 0.732 (0.764)	Data 0.001 (0.002)	Loss 2.0230 (1.7852)	Prec@1 48.438 (53.061)	Prec@5 78.906 (82.254)
Epoch: [85][5960/14090]	Time 0.769 (0.764)	Data 0.001 (0.002)	Loss 1.6761 (1.7852)	Prec@1 52.344 (53.058)	Prec@5 83.594 (82.253)
Epoch: [85][5970/14090]	Time 0.778 (0.764)	Data 0.001 (0.002)	Loss 1.6664 (1.7851)	Prec@1 57.031 (53.062)	Prec@5 79.688 (82.255)
Epoch: [85][5980/14090]	Time 0.874 (0.764)	Data 0.001 (0.002)	Loss 1.7789 (1.7849)	Prec@1 54.688 (53.065)	Prec@5 80.469 (82.256)
Epoch: [85][5990/14090]	Time 0.749 (0.764)	Data 0.001 (0.002)	Loss 2.0408 (1.7850)	Prec@1 45.312 (53.063)	Prec@5 77.344 (82.256)
Epoch: [85][6000/14090]	Time 0.753 (0.764)	Data 0.001 (0.002)	Loss 1.9655 (1.7849)	Prec@1 51.562 (53.065)	Prec@5 78.906 (82.257)
Epoch: [85][6010/14090]	Time 0.724 (0.764)	Data 0.001 (0.002)	Loss 1.8361 (1.7851)	Prec@1 51.562 (53.059)	Prec@5 83.594 (82.252)
Epoch: [85][6020/14090]	Time 0.752 (0.764)	Data 0.001 (0.002)	Loss 1.5556 (1.7850)	Prec@1 60.938 (53.065)	Prec@5 85.156 (82.254)
Epoch: [85][6030/14090]	Time 0.769 (0.764)	Data 0.001 (0.002)	Loss 1.8121 (1.7849)	Prec@1 59.375 (53.067)	Prec@5 81.250 (82.253)
Epoch: [85][6040/14090]	Time 0.726 (0.764)	Data 0.001 (0.002)	Loss 1.8140 (1.7850)	Prec@1 52.344 (53.068)	Prec@5 85.156 (82.253)
Epoch: [85][6050/14090]	Time 0.846 (0.764)	Data 0.001 (0.002)	Loss 1.6711 (1.7851)	Prec@1 55.469 (53.067)	Prec@5 81.250 (82.251)
Epoch: [85][6060/14090]	Time 0.746 (0.764)	Data 0.001 (0.002)	Loss 1.7879 (1.7851)	Prec@1 50.781 (53.063)	Prec@5 82.031 (82.252)
Epoch: [85][6070/14090]	Time 0.751 (0.764)	Data 0.001 (0.002)	Loss 2.0902 (1.7851)	Prec@1 52.344 (53.066)	Prec@5 74.219 (82.253)
Epoch: [85][6080/14090]	Time 0.762 (0.764)	Data 0.001 (0.002)	Loss 1.8517 (1.7851)	Prec@1 51.562 (53.067)	Prec@5 80.469 (82.254)
Epoch: [85][6090/14090]	Time 0.746 (0.764)	Data 0.001 (0.002)	Loss 1.9747 (1.7851)	Prec@1 56.250 (53.070)	Prec@5 78.125 (82.251)
Epoch: [85][6100/14090]	Time 0.770 (0.764)	Data 0.001 (0.002)	Loss 1.9505 (1.7851)	Prec@1 49.219 (53.068)	Prec@5 78.906 (82.250)
Epoch: [85][6110/14090]	Time 0.763 (0.764)	Data 0.001 (0.002)	Loss 1.6904 (1.7851)	Prec@1 60.156 (53.067)	Prec@5 82.031 (82.250)
Epoch: [85][6120/14090]	Time 0.867 (0.764)	Data 0.001 (0.002)	Loss 1.8246 (1.7852)	Prec@1 53.125 (53.064)	Prec@5 85.938 (82.248)
Epoch: [85][6130/14090]	Time 0.767 (0.764)	Data 0.001 (0.002)	Loss 1.6667 (1.7852)	Prec@1 54.688 (53.065)	Prec@5 84.375 (82.248)
Epoch: [85][6140/14090]	Time 0.723 (0.764)	Data 0.001 (0.002)	Loss 1.8766 (1.7852)	Prec@1 50.781 (53.067)	Prec@5 81.250 (82.251)
Epoch: [85][6150/14090]	Time 0.727 (0.764)	Data 0.001 (0.002)	Loss 1.8897 (1.7853)	Prec@1 50.781 (53.067)	Prec@5 81.250 (82.251)
Epoch: [85][6160/14090]	Time 0.723 (0.764)	Data 0.001 (0.002)	Loss 1.8493 (1.7853)	Prec@1 52.344 (53.066)	Prec@5 82.812 (82.253)
Epoch: [85][6170/14090]	Time 0.747 (0.764)	Data 0.001 (0.002)	Loss 1.8815 (1.7853)	Prec@1 49.219 (53.063)	Prec@5 80.469 (82.254)
Epoch: [85][6180/14090]	Time 0.744 (0.764)	Data 0.001 (0.002)	Loss 1.7697 (1.7853)	Prec@1 51.562 (53.061)	Prec@5 85.938 (82.254)
Epoch: [85][6190/14090]	Time 0.874 (0.764)	Data 0.001 (0.002)	Loss 1.7322 (1.7853)	Prec@1 48.438 (53.061)	Prec@5 85.156 (82.254)
Epoch: [85][6200/14090]	Time 0.732 (0.764)	Data 0.001 (0.002)	Loss 1.9219 (1.7853)	Prec@1 53.125 (53.061)	Prec@5 79.688 (82.255)
Epoch: [85][6210/14090]	Time 0.726 (0.764)	Data 0.001 (0.002)	Loss 1.9262 (1.7854)	Prec@1 50.000 (53.060)	Prec@5 79.688 (82.254)
Epoch: [85][6220/14090]	Time 0.731 (0.764)	Data 0.001 (0.002)	Loss 1.9848 (1.7854)	Prec@1 46.094 (53.056)	Prec@5 76.562 (82.253)
Epoch: [85][6230/14090]	Time 0.752 (0.764)	Data 0.001 (0.002)	Loss 1.5540 (1.7855)	Prec@1 58.594 (53.056)	Prec@5 85.938 (82.251)
Epoch: [85][6240/14090]	Time 0.729 (0.764)	Data 0.001 (0.002)	Loss 1.9520 (1.7855)	Prec@1 47.656 (53.056)	Prec@5 82.031 (82.252)
Epoch: [85][6250/14090]	Time 0.754 (0.764)	Data 0.001 (0.002)	Loss 2.0054 (1.7855)	Prec@1 45.312 (53.056)	Prec@5 80.469 (82.252)
Epoch: [85][6260/14090]	Time 0.859 (0.764)	Data 0.001 (0.002)	Loss 1.5943 (1.7855)	Prec@1 57.031 (53.057)	Prec@5 86.719 (82.254)
Epoch: [85][6270/14090]	Time 0.721 (0.764)	Data 0.001 (0.002)	Loss 1.6778 (1.7855)	Prec@1 56.250 (53.054)	Prec@5 85.938 (82.255)
Epoch: [85][6280/14090]	Time 0.726 (0.764)	Data 0.001 (0.002)	Loss 1.8302 (1.7856)	Prec@1 52.344 (53.055)	Prec@5 81.250 (82.252)
Epoch: [85][6290/14090]	Time 0.760 (0.764)	Data 0.001 (0.002)	Loss 1.7908 (1.7855)	Prec@1 52.344 (53.056)	Prec@5 82.812 (82.254)
Epoch: [85][6300/14090]	Time 0.724 (0.764)	Data 0.001 (0.002)	Loss 1.5349 (1.7854)	Prec@1 63.281 (53.060)	Prec@5 85.938 (82.254)
Epoch: [85][6310/14090]	Time 0.722 (0.764)	Data 0.001 (0.002)	Loss 1.7967 (1.7854)	Prec@1 49.219 (53.058)	Prec@5 81.250 (82.254)
Epoch: [85][6320/14090]	Time 0.754 (0.764)	Data 0.001 (0.002)	Loss 1.7979 (1.7855)	Prec@1 50.781 (53.056)	Prec@5 82.812 (82.251)
Epoch: [85][6330/14090]	Time 0.868 (0.764)	Data 0.001 (0.002)	Loss 1.7904 (1.7855)	Prec@1 55.469 (53.057)	Prec@5 83.594 (82.251)
Epoch: [85][6340/14090]	Time 0.737 (0.764)	Data 0.001 (0.002)	Loss 1.9323 (1.7855)	Prec@1 47.656 (53.056)	Prec@5 81.250 (82.252)
Epoch: [85][6350/14090]	Time 0.735 (0.764)	Data 0.001 (0.002)	Loss 1.8643 (1.7855)	Prec@1 51.562 (53.056)	Prec@5 78.906 (82.250)
Epoch: [85][6360/14090]	Time 0.755 (0.764)	Data 0.001 (0.002)	Loss 1.8364 (1.7856)	Prec@1 54.688 (53.056)	Prec@5 82.031 (82.250)
Epoch: [85][6370/14090]	Time 0.735 (0.764)	Data 0.001 (0.002)	Loss 1.6385 (1.7856)	Prec@1 53.906 (53.056)	Prec@5 85.938 (82.249)
Epoch: [85][6380/14090]	Time 0.764 (0.764)	Data 0.001 (0.002)	Loss 1.8107 (1.7857)	Prec@1 50.781 (53.054)	Prec@5 82.812 (82.245)
Epoch: [85][6390/14090]	Time 0.728 (0.764)	Data 0.001 (0.002)	Loss 1.9623 (1.7858)	Prec@1 53.125 (53.053)	Prec@5 77.344 (82.243)
Epoch: [85][6400/14090]	Time 0.894 (0.764)	Data 0.001 (0.002)	Loss 1.7310 (1.7857)	Prec@1 54.688 (53.055)	Prec@5 85.156 (82.245)
Epoch: [85][6410/14090]	Time 0.748 (0.764)	Data 0.001 (0.002)	Loss 1.6269 (1.7857)	Prec@1 56.250 (53.053)	Prec@5 84.375 (82.247)
Epoch: [85][6420/14090]	Time 0.773 (0.764)	Data 0.001 (0.002)	Loss 1.9719 (1.7858)	Prec@1 50.781 (53.053)	Prec@5 79.688 (82.244)
Epoch: [85][6430/14090]	Time 0.753 (0.764)	Data 0.001 (0.002)	Loss 1.7484 (1.7860)	Prec@1 53.906 (53.047)	Prec@5 82.031 (82.241)
Epoch: [85][6440/14090]	Time 0.729 (0.764)	Data 0.001 (0.002)	Loss 1.8207 (1.7861)	Prec@1 55.469 (53.047)	Prec@5 83.594 (82.239)
Epoch: [85][6450/14090]	Time 0.763 (0.764)	Data 0.001 (0.002)	Loss 1.9292 (1.7862)	Prec@1 53.125 (53.046)	Prec@5 79.688 (82.236)
Epoch: [85][6460/14090]	Time 0.761 (0.764)	Data 0.001 (0.002)	Loss 1.8065 (1.7863)	Prec@1 52.344 (53.045)	Prec@5 80.469 (82.234)
Epoch: [85][6470/14090]	Time 0.856 (0.764)	Data 0.001 (0.002)	Loss 1.6745 (1.7863)	Prec@1 55.469 (53.046)	Prec@5 85.156 (82.233)
Epoch: [85][6480/14090]	Time 0.729 (0.764)	Data 0.001 (0.002)	Loss 1.9213 (1.7863)	Prec@1 50.000 (53.049)	Prec@5 82.031 (82.234)
Epoch: [85][6490/14090]	Time 0.727 (0.764)	Data 0.001 (0.002)	Loss 1.7490 (1.7863)	Prec@1 51.562 (53.050)	Prec@5 85.156 (82.235)
Epoch: [85][6500/14090]	Time 0.789 (0.764)	Data 0.001 (0.002)	Loss 2.0026 (1.7862)	Prec@1 46.875 (53.053)	Prec@5 76.562 (82.236)
Epoch: [85][6510/14090]	Time 0.755 (0.764)	Data 0.001 (0.002)	Loss 1.9350 (1.7862)	Prec@1 53.906 (53.055)	Prec@5 83.594 (82.235)
Epoch: [85][6520/14090]	Time 0.737 (0.764)	Data 0.001 (0.002)	Loss 1.5478 (1.7861)	Prec@1 56.250 (53.057)	Prec@5 86.719 (82.236)
Epoch: [85][6530/14090]	Time 0.755 (0.764)	Data 0.001 (0.002)	Loss 1.8198 (1.7862)	Prec@1 54.688 (53.051)	Prec@5 81.250 (82.234)
Epoch: [85][6540/14090]	Time 0.876 (0.764)	Data 0.001 (0.002)	Loss 2.1162 (1.7863)	Prec@1 49.219 (53.049)	Prec@5 75.000 (82.230)
Epoch: [85][6550/14090]	Time 0.755 (0.764)	Data 0.001 (0.002)	Loss 1.8659 (1.7863)	Prec@1 50.781 (53.048)	Prec@5 83.594 (82.231)
Epoch: [85][6560/14090]	Time 0.751 (0.764)	Data 0.001 (0.002)	Loss 1.5681 (1.7863)	Prec@1 54.688 (53.047)	Prec@5 86.719 (82.228)
Epoch: [85][6570/14090]	Time 0.733 (0.764)	Data 0.001 (0.002)	Loss 1.8849 (1.7863)	Prec@1 53.906 (53.048)	Prec@5 82.031 (82.228)
Epoch: [85][6580/14090]	Time 0.742 (0.764)	Data 0.001 (0.002)	Loss 1.6168 (1.7864)	Prec@1 56.250 (53.046)	Prec@5 85.156 (82.226)
Epoch: [85][6590/14090]	Time 0.754 (0.764)	Data 0.001 (0.002)	Loss 1.7623 (1.7863)	Prec@1 55.469 (53.047)	Prec@5 80.469 (82.226)
Epoch: [85][6600/14090]	Time 0.743 (0.764)	Data 0.001 (0.002)	Loss 2.0292 (1.7864)	Prec@1 55.469 (53.047)	Prec@5 76.562 (82.226)
Epoch: [85][6610/14090]	Time 0.862 (0.764)	Data 0.001 (0.002)	Loss 1.5807 (1.7864)	Prec@1 53.906 (53.045)	Prec@5 87.500 (82.227)
Epoch: [85][6620/14090]	Time 0.753 (0.764)	Data 0.001 (0.002)	Loss 1.6564 (1.7863)	Prec@1 54.688 (53.043)	Prec@5 84.375 (82.228)
Epoch: [85][6630/14090]	Time 0.730 (0.764)	Data 0.001 (0.002)	Loss 1.8550 (1.7864)	Prec@1 52.344 (53.040)	Prec@5 82.812 (82.228)
Epoch: [85][6640/14090]	Time 0.743 (0.764)	Data 0.001 (0.002)	Loss 1.5664 (1.7863)	Prec@1 60.156 (53.044)	Prec@5 83.594 (82.230)
Epoch: [85][6650/14090]	Time 0.734 (0.764)	Data 0.001 (0.002)	Loss 1.6799 (1.7863)	Prec@1 57.812 (53.046)	Prec@5 83.594 (82.229)
Epoch: [85][6660/14090]	Time 0.761 (0.764)	Data 0.001 (0.002)	Loss 1.8845 (1.7864)	Prec@1 59.375 (53.041)	Prec@5 82.031 (82.230)
Epoch: [85][6670/14090]	Time 0.765 (0.764)	Data 0.001 (0.002)	Loss 2.0409 (1.7865)	Prec@1 44.531 (53.039)	Prec@5 75.781 (82.228)
Epoch: [85][6680/14090]	Time 0.993 (0.764)	Data 0.001 (0.002)	Loss 1.8489 (1.7866)	Prec@1 48.438 (53.036)	Prec@5 80.469 (82.229)
Epoch: [85][6690/14090]	Time 0.722 (0.764)	Data 0.001 (0.002)	Loss 1.7907 (1.7867)	Prec@1 53.125 (53.034)	Prec@5 80.469 (82.224)
Epoch: [85][6700/14090]	Time 0.762 (0.764)	Data 0.001 (0.002)	Loss 1.6660 (1.7868)	Prec@1 61.719 (53.032)	Prec@5 84.375 (82.223)
Epoch: [85][6710/14090]	Time 0.740 (0.764)	Data 0.001 (0.002)	Loss 1.8071 (1.7868)	Prec@1 55.469 (53.030)	Prec@5 77.344 (82.222)
Epoch: [85][6720/14090]	Time 0.728 (0.764)	Data 0.001 (0.002)	Loss 1.9613 (1.7868)	Prec@1 50.000 (53.031)	Prec@5 79.688 (82.222)
Epoch: [85][6730/14090]	Time 0.762 (0.764)	Data 0.001 (0.002)	Loss 1.6817 (1.7868)	Prec@1 53.906 (53.028)	Prec@5 81.250 (82.220)
Epoch: [85][6740/14090]	Time 0.738 (0.764)	Data 0.001 (0.002)	Loss 1.9460 (1.7869)	Prec@1 46.094 (53.029)	Prec@5 78.906 (82.220)
Epoch: [85][6750/14090]	Time 0.878 (0.764)	Data 0.001 (0.002)	Loss 1.8441 (1.7868)	Prec@1 55.469 (53.031)	Prec@5 78.906 (82.221)
Epoch: [85][6760/14090]	Time 0.732 (0.764)	Data 0.001 (0.002)	Loss 1.7854 (1.7868)	Prec@1 52.344 (53.029)	Prec@5 87.500 (82.223)
Epoch: [85][6770/14090]	Time 0.728 (0.764)	Data 0.001 (0.002)	Loss 2.0159 (1.7869)	Prec@1 48.438 (53.027)	Prec@5 74.219 (82.221)
Epoch: [85][6780/14090]	Time 0.772 (0.764)	Data 0.001 (0.002)	Loss 1.8449 (1.7869)	Prec@1 52.344 (53.027)	Prec@5 82.812 (82.224)
Epoch: [85][6790/14090]	Time 0.750 (0.764)	Data 0.001 (0.002)	Loss 1.8322 (1.7869)	Prec@1 48.438 (53.027)	Prec@5 78.906 (82.223)
Epoch: [85][6800/14090]	Time 0.733 (0.764)	Data 0.001 (0.002)	Loss 1.8201 (1.7869)	Prec@1 50.781 (53.026)	Prec@5 80.469 (82.222)
Epoch: [85][6810/14090]	Time 0.726 (0.764)	Data 0.001 (0.002)	Loss 2.0396 (1.7871)	Prec@1 52.344 (53.022)	Prec@5 78.125 (82.218)
Epoch: [85][6820/14090]	Time 0.858 (0.764)	Data 0.001 (0.002)	Loss 1.8911 (1.7871)	Prec@1 48.438 (53.021)	Prec@5 82.812 (82.219)
Epoch: [85][6830/14090]	Time 0.754 (0.764)	Data 0.001 (0.002)	Loss 1.8988 (1.7871)	Prec@1 51.562 (53.023)	Prec@5 80.469 (82.218)
Epoch: [85][6840/14090]	Time 0.728 (0.764)	Data 0.001 (0.002)	Loss 1.6636 (1.7871)	Prec@1 57.812 (53.022)	Prec@5 82.812 (82.217)
Epoch: [85][6850/14090]	Time 0.750 (0.764)	Data 0.001 (0.002)	Loss 1.5670 (1.7871)	Prec@1 55.469 (53.022)	Prec@5 86.719 (82.217)
Epoch: [85][6860/14090]	Time 0.758 (0.764)	Data 0.001 (0.002)	Loss 1.8598 (1.7871)	Prec@1 47.656 (53.024)	Prec@5 77.344 (82.216)
Epoch: [85][6870/14090]	Time 0.739 (0.764)	Data 0.001 (0.002)	Loss 1.8363 (1.7872)	Prec@1 49.219 (53.025)	Prec@5 82.031 (82.216)
Epoch: [85][6880/14090]	Time 0.745 (0.764)	Data 0.001 (0.002)	Loss 1.8243 (1.7872)	Prec@1 53.906 (53.027)	Prec@5 82.812 (82.216)
Epoch: [85][6890/14090]	Time 0.846 (0.764)	Data 0.001 (0.002)	Loss 1.9079 (1.7872)	Prec@1 50.000 (53.027)	Prec@5 82.031 (82.215)
Epoch: [85][6900/14090]	Time 0.762 (0.764)	Data 0.001 (0.002)	Loss 1.5032 (1.7872)	Prec@1 58.594 (53.028)	Prec@5 88.281 (82.214)
Epoch: [85][6910/14090]	Time 0.738 (0.764)	Data 0.001 (0.002)	Loss 1.8698 (1.7872)	Prec@1 53.125 (53.027)	Prec@5 84.375 (82.214)
Epoch: [85][6920/14090]	Time 0.738 (0.764)	Data 0.001 (0.002)	Loss 1.6204 (1.7873)	Prec@1 57.812 (53.026)	Prec@5 85.156 (82.212)
Epoch: [85][6930/14090]	Time 0.733 (0.764)	Data 0.001 (0.002)	Loss 1.7961 (1.7873)	Prec@1 57.031 (53.025)	Prec@5 85.156 (82.214)
Epoch: [85][6940/14090]	Time 0.766 (0.764)	Data 0.001 (0.002)	Loss 1.9138 (1.7873)	Prec@1 44.531 (53.025)	Prec@5 79.688 (82.215)
Epoch: [85][6950/14090]	Time 0.762 (0.764)	Data 0.001 (0.002)	Loss 1.7264 (1.7871)	Prec@1 53.906 (53.028)	Prec@5 83.594 (82.217)
Epoch: [85][6960/14090]	Time 0.887 (0.764)	Data 0.001 (0.002)	Loss 1.9506 (1.7871)	Prec@1 46.094 (53.028)	Prec@5 78.906 (82.218)
Epoch: [85][6970/14090]	Time 0.730 (0.764)	Data 0.001 (0.002)	Loss 1.5539 (1.7872)	Prec@1 53.125 (53.022)	Prec@5 84.375 (82.214)
Epoch: [85][6980/14090]	Time 0.749 (0.764)	Data 0.001 (0.002)	Loss 1.7230 (1.7872)	Prec@1 57.812 (53.025)	Prec@5 84.375 (82.214)
Epoch: [85][6990/14090]	Time 0.750 (0.764)	Data 0.001 (0.002)	Loss 1.7464 (1.7873)	Prec@1 53.906 (53.022)	Prec@5 84.375 (82.214)
Epoch: [85][7000/14090]	Time 0.731 (0.764)	Data 0.001 (0.002)	Loss 1.6591 (1.7873)	Prec@1 56.250 (53.022)	Prec@5 84.375 (82.214)
Epoch: [85][7010/14090]	Time 0.734 (0.764)	Data 0.001 (0.002)	Loss 1.6982 (1.7873)	Prec@1 50.781 (53.021)	Prec@5 81.250 (82.214)
Epoch: [85][7020/14090]	Time 0.750 (0.764)	Data 0.001 (0.002)	Loss 1.9010 (1.7873)	Prec@1 45.312 (53.023)	Prec@5 76.562 (82.213)
Epoch: [85][7030/14090]	Time 0.901 (0.764)	Data 0.001 (0.002)	Loss 1.6566 (1.7872)	Prec@1 56.250 (53.025)	Prec@5 82.812 (82.215)
Epoch: [85][7040/14090]	Time 0.731 (0.764)	Data 0.001 (0.002)	Loss 1.5329 (1.7872)	Prec@1 60.938 (53.026)	Prec@5 88.281 (82.215)
Epoch: [85][7050/14090]	Time 0.738 (0.764)	Data 0.001 (0.002)	Loss 1.9119 (1.7871)	Prec@1 53.125 (53.028)	Prec@5 78.125 (82.217)
Epoch: [85][7060/14090]	Time 0.726 (0.764)	Data 0.001 (0.002)	Loss 1.7799 (1.7871)	Prec@1 53.906 (53.029)	Prec@5 82.812 (82.217)
Epoch: [85][7070/14090]	Time 0.728 (0.764)	Data 0.001 (0.002)	Loss 1.8211 (1.7872)	Prec@1 45.312 (53.026)	Prec@5 80.469 (82.215)
Epoch: [85][7080/14090]	Time 0.770 (0.764)	Data 0.001 (0.002)	Loss 1.7999 (1.7872)	Prec@1 53.125 (53.025)	Prec@5 82.031 (82.216)
Epoch: [85][7090/14090]	Time 0.750 (0.764)	Data 0.001 (0.002)	Loss 1.5186 (1.7872)	Prec@1 57.812 (53.026)	Prec@5 85.938 (82.217)
Epoch: [85][7100/14090]	Time 0.986 (0.764)	Data 0.001 (0.002)	Loss 1.8716 (1.7872)	Prec@1 52.344 (53.028)	Prec@5 85.156 (82.218)
Epoch: [85][7110/14090]	Time 0.744 (0.764)	Data 0.001 (0.002)	Loss 1.8009 (1.7872)	Prec@1 54.688 (53.031)	Prec@5 81.250 (82.218)
Epoch: [85][7120/14090]	Time 0.780 (0.764)	Data 0.001 (0.002)	Loss 2.1015 (1.7872)	Prec@1 46.094 (53.034)	Prec@5 76.562 (82.218)
Epoch: [85][7130/14090]	Time 0.738 (0.764)	Data 0.001 (0.002)	Loss 2.1696 (1.7873)	Prec@1 40.625 (53.032)	Prec@5 71.875 (82.214)
Epoch: [85][7140/14090]	Time 0.729 (0.764)	Data 0.001 (0.002)	Loss 1.7777 (1.7873)	Prec@1 50.000 (53.030)	Prec@5 82.812 (82.215)
Epoch: [85][7150/14090]	Time 0.756 (0.764)	Data 0.001 (0.002)	Loss 1.7882 (1.7872)	Prec@1 57.812 (53.030)	Prec@5 80.469 (82.216)
Epoch: [85][7160/14090]	Time 0.738 (0.764)	Data 0.001 (0.002)	Loss 2.0022 (1.7872)	Prec@1 46.875 (53.029)	Prec@5 80.469 (82.215)
Epoch: [85][7170/14090]	Time 0.864 (0.764)	Data 0.001 (0.002)	Loss 1.8128 (1.7872)	Prec@1 53.906 (53.029)	Prec@5 79.688 (82.216)
Epoch: [85][7180/14090]	Time 0.725 (0.764)	Data 0.001 (0.002)	Loss 1.9203 (1.7872)	Prec@1 52.344 (53.029)	Prec@5 80.469 (82.215)
Epoch: [85][7190/14090]	Time 0.739 (0.764)	Data 0.001 (0.002)	Loss 1.6550 (1.7873)	Prec@1 61.719 (53.028)	Prec@5 81.250 (82.212)
Epoch: [85][7200/14090]	Time 0.767 (0.764)	Data 0.001 (0.002)	Loss 1.8690 (1.7874)	Prec@1 50.000 (53.028)	Prec@5 80.469 (82.210)
Epoch: [85][7210/14090]	Time 0.759 (0.764)	Data 0.001 (0.002)	Loss 1.8388 (1.7874)	Prec@1 53.125 (53.028)	Prec@5 76.562 (82.209)
Epoch: [85][7220/14090]	Time 0.757 (0.764)	Data 0.001 (0.002)	Loss 2.0349 (1.7875)	Prec@1 50.000 (53.025)	Prec@5 78.125 (82.209)
Epoch: [85][7230/14090]	Time 0.763 (0.764)	Data 0.001 (0.002)	Loss 1.6467 (1.7874)	Prec@1 60.156 (53.028)	Prec@5 84.375 (82.210)
Epoch: [85][7240/14090]	Time 0.860 (0.764)	Data 0.001 (0.002)	Loss 1.8783 (1.7874)	Prec@1 50.781 (53.026)	Prec@5 78.125 (82.210)
Epoch: [85][7250/14090]	Time 0.733 (0.764)	Data 0.001 (0.002)	Loss 1.9020 (1.7874)	Prec@1 46.875 (53.026)	Prec@5 86.719 (82.211)
Epoch: [85][7260/14090]	Time 0.735 (0.764)	Data 0.001 (0.002)	Loss 1.8127 (1.7873)	Prec@1 50.781 (53.029)	Prec@5 82.812 (82.211)
Epoch: [85][7270/14090]	Time 0.761 (0.764)	Data 0.001 (0.002)	Loss 1.6786 (1.7874)	Prec@1 55.469 (53.028)	Prec@5 82.031 (82.210)
Epoch: [85][7280/14090]	Time 0.772 (0.764)	Data 0.001 (0.002)	Loss 1.8457 (1.7874)	Prec@1 47.656 (53.027)	Prec@5 75.781 (82.208)
Epoch: [85][7290/14090]	Time 0.743 (0.764)	Data 0.001 (0.002)	Loss 1.7608 (1.7874)	Prec@1 53.906 (53.030)	Prec@5 82.031 (82.207)
Epoch: [85][7300/14090]	Time 0.730 (0.764)	Data 0.001 (0.002)	Loss 1.6074 (1.7873)	Prec@1 60.156 (53.033)	Prec@5 84.375 (82.206)
Epoch: [85][7310/14090]	Time 0.892 (0.764)	Data 0.001 (0.002)	Loss 1.8400 (1.7872)	Prec@1 53.906 (53.035)	Prec@5 85.156 (82.208)
Epoch: [85][7320/14090]	Time 0.735 (0.764)	Data 0.001 (0.002)	Loss 1.6890 (1.7873)	Prec@1 59.375 (53.034)	Prec@5 85.156 (82.206)
Epoch: [85][7330/14090]	Time 0.750 (0.764)	Data 0.001 (0.002)	Loss 2.1273 (1.7874)	Prec@1 47.656 (53.031)	Prec@5 75.781 (82.205)
Epoch: [85][7340/14090]	Time 0.740 (0.764)	Data 0.001 (0.002)	Loss 1.5503 (1.7873)	Prec@1 62.500 (53.034)	Prec@5 86.719 (82.208)
Epoch: [85][7350/14090]	Time 0.726 (0.764)	Data 0.001 (0.002)	Loss 1.6305 (1.7871)	Prec@1 53.125 (53.036)	Prec@5 89.062 (82.211)
Epoch: [85][7360/14090]	Time 0.761 (0.764)	Data 0.001 (0.002)	Loss 1.9289 (1.7871)	Prec@1 48.438 (53.037)	Prec@5 84.375 (82.212)
Epoch: [85][7370/14090]	Time 0.750 (0.764)	Data 0.001 (0.002)	Loss 1.7474 (1.7870)	Prec@1 53.125 (53.038)	Prec@5 87.500 (82.215)
Epoch: [85][7380/14090]	Time 1.050 (0.764)	Data 0.001 (0.002)	Loss 1.7281 (1.7870)	Prec@1 60.938 (53.036)	Prec@5 82.812 (82.215)
Epoch: [85][7390/14090]	Time 0.734 (0.764)	Data 0.001 (0.002)	Loss 1.9260 (1.7870)	Prec@1 48.438 (53.034)	Prec@5 82.031 (82.215)
Epoch: [85][7400/14090]	Time 0.723 (0.764)	Data 0.001 (0.002)	Loss 1.8953 (1.7872)	Prec@1 48.438 (53.033)	Prec@5 77.344 (82.212)
Epoch: [85][7410/14090]	Time 0.750 (0.764)	Data 0.001 (0.002)	Loss 2.0416 (1.7872)	Prec@1 47.656 (53.034)	Prec@5 81.250 (82.212)
Epoch: [85][7420/14090]	Time 0.742 (0.764)	Data 0.001 (0.002)	Loss 1.8977 (1.7872)	Prec@1 51.562 (53.034)	Prec@5 83.594 (82.213)
Epoch: [85][7430/14090]	Time 0.753 (0.764)	Data 0.001 (0.002)	Loss 1.9065 (1.7874)	Prec@1 48.438 (53.032)	Prec@5 78.906 (82.210)
Epoch: [85][7440/14090]	Time 0.775 (0.764)	Data 0.001 (0.002)	Loss 1.8363 (1.7874)	Prec@1 51.562 (53.031)	Prec@5 81.250 (82.207)
Epoch: [85][7450/14090]	Time 0.859 (0.764)	Data 0.001 (0.002)	Loss 1.8091 (1.7873)	Prec@1 49.219 (53.035)	Prec@5 79.688 (82.208)
Epoch: [85][7460/14090]	Time 0.745 (0.764)	Data 0.001 (0.002)	Loss 1.7344 (1.7873)	Prec@1 49.219 (53.035)	Prec@5 82.031 (82.208)
Epoch: [85][7470/14090]	Time 0.759 (0.764)	Data 0.001 (0.002)	Loss 1.6594 (1.7874)	Prec@1 53.906 (53.035)	Prec@5 85.156 (82.206)
Epoch: [85][7480/14090]	Time 0.760 (0.764)	Data 0.001 (0.002)	Loss 1.5963 (1.7874)	Prec@1 60.938 (53.032)	Prec@5 86.719 (82.206)
Epoch: [85][7490/14090]	Time 0.740 (0.764)	Data 0.001 (0.002)	Loss 2.0196 (1.7874)	Prec@1 48.438 (53.032)	Prec@5 75.000 (82.207)
Epoch: [85][7500/14090]	Time 0.754 (0.764)	Data 0.001 (0.002)	Loss 1.8001 (1.7875)	Prec@1 56.250 (53.033)	Prec@5 80.469 (82.204)
Epoch: [85][7510/14090]	Time 0.732 (0.764)	Data 0.001 (0.002)	Loss 1.7982 (1.7874)	Prec@1 52.344 (53.034)	Prec@5 79.688 (82.204)
Epoch: [85][7520/14090]	Time 0.862 (0.764)	Data 0.001 (0.002)	Loss 1.8783 (1.7874)	Prec@1 53.906 (53.035)	Prec@5 81.250 (82.205)
Epoch: [85][7530/14090]	Time 0.744 (0.764)	Data 0.001 (0.002)	Loss 1.7331 (1.7873)	Prec@1 48.438 (53.037)	Prec@5 87.500 (82.207)
Epoch: [85][7540/14090]	Time 0.727 (0.764)	Data 0.001 (0.002)	Loss 1.7163 (1.7872)	Prec@1 53.125 (53.039)	Prec@5 80.469 (82.209)
Epoch: [85][7550/14090]	Time 0.780 (0.764)	Data 0.001 (0.002)	Loss 1.8244 (1.7873)	Prec@1 57.031 (53.037)	Prec@5 80.469 (82.206)
Epoch: [85][7560/14090]	Time 0.740 (0.764)	Data 0.001 (0.002)	Loss 1.9487 (1.7873)	Prec@1 47.656 (53.036)	Prec@5 77.344 (82.204)
Epoch: [85][7570/14090]	Time 0.752 (0.764)	Data 0.001 (0.002)	Loss 2.0305 (1.7874)	Prec@1 48.438 (53.035)	Prec@5 71.875 (82.203)
Epoch: [85][7580/14090]	Time 0.755 (0.764)	Data 0.001 (0.002)	Loss 1.9903 (1.7874)	Prec@1 44.531 (53.033)	Prec@5 82.031 (82.202)
Epoch: [85][7590/14090]	Time 0.843 (0.764)	Data 0.001 (0.001)	Loss 1.7257 (1.7873)	Prec@1 57.031 (53.037)	Prec@5 81.250 (82.205)
Epoch: [85][7600/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 1.7616 (1.7872)	Prec@1 54.688 (53.037)	Prec@5 83.594 (82.206)
Epoch: [85][7610/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 1.7812 (1.7872)	Prec@1 47.656 (53.037)	Prec@5 82.812 (82.208)
Epoch: [85][7620/14090]	Time 0.766 (0.764)	Data 0.001 (0.001)	Loss 1.9095 (1.7872)	Prec@1 55.469 (53.037)	Prec@5 80.469 (82.206)
Epoch: [85][7630/14090]	Time 0.760 (0.764)	Data 0.001 (0.001)	Loss 1.7261 (1.7872)	Prec@1 57.812 (53.038)	Prec@5 87.500 (82.207)
Epoch: [85][7640/14090]	Time 0.735 (0.764)	Data 0.001 (0.001)	Loss 1.4798 (1.7872)	Prec@1 60.156 (53.039)	Prec@5 85.938 (82.206)
Epoch: [85][7650/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 1.7903 (1.7872)	Prec@1 51.562 (53.038)	Prec@5 82.812 (82.207)
Epoch: [85][7660/14090]	Time 0.857 (0.764)	Data 0.001 (0.001)	Loss 1.6756 (1.7872)	Prec@1 52.344 (53.036)	Prec@5 85.938 (82.208)
Epoch: [85][7670/14090]	Time 0.758 (0.764)	Data 0.002 (0.001)	Loss 1.7592 (1.7872)	Prec@1 54.688 (53.038)	Prec@5 82.031 (82.207)
Epoch: [85][7680/14090]	Time 0.758 (0.764)	Data 0.001 (0.001)	Loss 1.6785 (1.7873)	Prec@1 50.781 (53.036)	Prec@5 83.594 (82.205)
Epoch: [85][7690/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.1664 (1.7873)	Prec@1 45.312 (53.033)	Prec@5 73.438 (82.204)
Epoch: [85][7700/14090]	Time 0.740 (0.764)	Data 0.001 (0.001)	Loss 1.6816 (1.7872)	Prec@1 53.125 (53.034)	Prec@5 85.156 (82.204)
Epoch: [85][7710/14090]	Time 0.740 (0.764)	Data 0.001 (0.001)	Loss 1.7150 (1.7872)	Prec@1 56.250 (53.035)	Prec@5 82.031 (82.205)
Epoch: [85][7720/14090]	Time 0.761 (0.764)	Data 0.001 (0.001)	Loss 1.7775 (1.7871)	Prec@1 49.219 (53.036)	Prec@5 83.594 (82.206)
Epoch: [85][7730/14090]	Time 0.831 (0.764)	Data 0.001 (0.001)	Loss 1.7788 (1.7871)	Prec@1 55.469 (53.036)	Prec@5 82.812 (82.205)
Epoch: [85][7740/14090]	Time 0.732 (0.764)	Data 0.001 (0.001)	Loss 1.5713 (1.7871)	Prec@1 57.031 (53.038)	Prec@5 84.375 (82.205)
Epoch: [85][7750/14090]	Time 0.724 (0.764)	Data 0.001 (0.001)	Loss 1.6334 (1.7872)	Prec@1 48.438 (53.040)	Prec@5 83.594 (82.204)
Epoch: [85][7760/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 1.8070 (1.7872)	Prec@1 53.125 (53.040)	Prec@5 82.812 (82.203)
Epoch: [85][7770/14090]	Time 0.724 (0.764)	Data 0.001 (0.001)	Loss 1.7000 (1.7873)	Prec@1 49.219 (53.037)	Prec@5 81.250 (82.200)
Epoch: [85][7780/14090]	Time 0.725 (0.764)	Data 0.001 (0.001)	Loss 1.7611 (1.7873)	Prec@1 53.906 (53.040)	Prec@5 81.250 (82.200)
Epoch: [85][7790/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 1.7400 (1.7872)	Prec@1 53.906 (53.041)	Prec@5 83.594 (82.200)
Epoch: [85][7800/14090]	Time 0.866 (0.764)	Data 0.001 (0.001)	Loss 1.9943 (1.7872)	Prec@1 52.344 (53.043)	Prec@5 77.344 (82.200)
Epoch: [85][7810/14090]	Time 0.726 (0.764)	Data 0.001 (0.001)	Loss 1.8110 (1.7871)	Prec@1 53.125 (53.044)	Prec@5 79.688 (82.201)
Epoch: [85][7820/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 1.7683 (1.7872)	Prec@1 53.125 (53.043)	Prec@5 84.375 (82.201)
Epoch: [85][7830/14090]	Time 0.765 (0.764)	Data 0.001 (0.001)	Loss 1.7280 (1.7871)	Prec@1 54.688 (53.044)	Prec@5 83.594 (82.201)
Epoch: [85][7840/14090]	Time 0.726 (0.764)	Data 0.001 (0.001)	Loss 1.6502 (1.7871)	Prec@1 58.594 (53.043)	Prec@5 84.375 (82.201)
Epoch: [85][7850/14090]	Time 0.723 (0.764)	Data 0.001 (0.001)	Loss 1.7683 (1.7872)	Prec@1 53.125 (53.044)	Prec@5 80.469 (82.201)
Epoch: [85][7860/14090]	Time 0.746 (0.764)	Data 0.001 (0.001)	Loss 1.6256 (1.7872)	Prec@1 57.812 (53.044)	Prec@5 78.906 (82.200)
Epoch: [85][7870/14090]	Time 0.843 (0.764)	Data 0.001 (0.001)	Loss 1.9703 (1.7872)	Prec@1 49.219 (53.045)	Prec@5 81.250 (82.201)
Epoch: [85][7880/14090]	Time 0.743 (0.764)	Data 0.001 (0.001)	Loss 1.6359 (1.7872)	Prec@1 58.594 (53.046)	Prec@5 85.938 (82.201)
Epoch: [85][7890/14090]	Time 0.745 (0.764)	Data 0.001 (0.001)	Loss 1.7775 (1.7871)	Prec@1 53.125 (53.048)	Prec@5 82.031 (82.202)
Epoch: [85][7900/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 1.6873 (1.7871)	Prec@1 60.938 (53.049)	Prec@5 84.375 (82.203)
Epoch: [85][7910/14090]	Time 0.764 (0.764)	Data 0.001 (0.001)	Loss 1.8189 (1.7871)	Prec@1 53.125 (53.047)	Prec@5 84.375 (82.204)
Epoch: [85][7920/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 1.9609 (1.7870)	Prec@1 49.219 (53.047)	Prec@5 77.344 (82.204)
Epoch: [85][7930/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 1.6929 (1.7870)	Prec@1 53.125 (53.048)	Prec@5 83.594 (82.205)
Epoch: [85][7940/14090]	Time 0.895 (0.764)	Data 0.001 (0.001)	Loss 1.8515 (1.7870)	Prec@1 57.031 (53.048)	Prec@5 75.000 (82.205)
Epoch: [85][7950/14090]	Time 0.774 (0.764)	Data 0.001 (0.001)	Loss 1.9148 (1.7871)	Prec@1 53.125 (53.046)	Prec@5 77.344 (82.204)
Epoch: [85][7960/14090]	Time 0.743 (0.764)	Data 0.001 (0.001)	Loss 2.2297 (1.7872)	Prec@1 35.156 (53.041)	Prec@5 78.906 (82.203)
Epoch: [85][7970/14090]	Time 0.748 (0.764)	Data 0.001 (0.001)	Loss 1.6582 (1.7872)	Prec@1 57.031 (53.040)	Prec@5 85.938 (82.202)
Epoch: [85][7980/14090]	Time 0.734 (0.764)	Data 0.001 (0.001)	Loss 1.7622 (1.7872)	Prec@1 52.344 (53.041)	Prec@5 82.031 (82.202)
Epoch: [85][7990/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 2.0056 (1.7873)	Prec@1 50.781 (53.040)	Prec@5 75.000 (82.200)
Epoch: [85][8000/14090]	Time 0.725 (0.764)	Data 0.001 (0.001)	Loss 2.0967 (1.7874)	Prec@1 49.219 (53.040)	Prec@5 76.562 (82.199)
Epoch: [85][8010/14090]	Time 0.881 (0.764)	Data 0.001 (0.001)	Loss 1.6527 (1.7873)	Prec@1 57.812 (53.040)	Prec@5 84.375 (82.200)
Epoch: [85][8020/14090]	Time 0.727 (0.764)	Data 0.001 (0.001)	Loss 1.8720 (1.7874)	Prec@1 50.000 (53.038)	Prec@5 82.031 (82.199)
Epoch: [85][8030/14090]	Time 0.771 (0.764)	Data 0.001 (0.001)	Loss 1.6784 (1.7874)	Prec@1 51.562 (53.037)	Prec@5 87.500 (82.199)
Epoch: [85][8040/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 1.7580 (1.7873)	Prec@1 55.469 (53.040)	Prec@5 82.812 (82.202)
Epoch: [85][8050/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 1.5677 (1.7872)	Prec@1 60.156 (53.039)	Prec@5 87.500 (82.203)
Epoch: [85][8060/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 1.8463 (1.7873)	Prec@1 50.781 (53.038)	Prec@5 82.031 (82.202)
Epoch: [85][8070/14090]	Time 0.758 (0.764)	Data 0.001 (0.001)	Loss 1.9651 (1.7874)	Prec@1 53.125 (53.036)	Prec@5 78.906 (82.199)
Epoch: [85][8080/14090]	Time 0.838 (0.764)	Data 0.001 (0.001)	Loss 1.5614 (1.7874)	Prec@1 56.250 (53.038)	Prec@5 85.156 (82.199)
Epoch: [85][8090/14090]	Time 0.727 (0.764)	Data 0.001 (0.001)	Loss 2.0255 (1.7874)	Prec@1 51.562 (53.040)	Prec@5 78.125 (82.199)
Epoch: [85][8100/14090]	Time 0.739 (0.764)	Data 0.001 (0.001)	Loss 1.5162 (1.7875)	Prec@1 60.156 (53.036)	Prec@5 82.812 (82.198)
Epoch: [85][8110/14090]	Time 0.744 (0.764)	Data 0.001 (0.001)	Loss 1.9870 (1.7874)	Prec@1 57.812 (53.038)	Prec@5 80.469 (82.199)
Epoch: [85][8120/14090]	Time 0.759 (0.764)	Data 0.001 (0.001)	Loss 1.7537 (1.7875)	Prec@1 53.125 (53.037)	Prec@5 82.812 (82.197)
Epoch: [85][8130/14090]	Time 0.762 (0.764)	Data 0.001 (0.001)	Loss 1.8057 (1.7875)	Prec@1 50.000 (53.037)	Prec@5 80.469 (82.198)
Epoch: [85][8140/14090]	Time 0.735 (0.764)	Data 0.001 (0.001)	Loss 1.7777 (1.7875)	Prec@1 53.906 (53.037)	Prec@5 80.469 (82.197)
Epoch: [85][8150/14090]	Time 0.915 (0.764)	Data 0.001 (0.001)	Loss 1.6105 (1.7874)	Prec@1 60.938 (53.040)	Prec@5 83.594 (82.199)
Epoch: [85][8160/14090]	Time 0.722 (0.764)	Data 0.001 (0.001)	Loss 2.0585 (1.7875)	Prec@1 46.094 (53.038)	Prec@5 75.781 (82.199)
Epoch: [85][8170/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 1.9119 (1.7875)	Prec@1 45.312 (53.038)	Prec@5 82.031 (82.198)
Epoch: [85][8180/14090]	Time 0.772 (0.764)	Data 0.001 (0.001)	Loss 2.2010 (1.7875)	Prec@1 46.875 (53.038)	Prec@5 71.875 (82.197)
Epoch: [85][8190/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 1.7843 (1.7875)	Prec@1 49.219 (53.038)	Prec@5 79.688 (82.196)
Epoch: [85][8200/14090]	Time 0.727 (0.764)	Data 0.001 (0.001)	Loss 1.9405 (1.7876)	Prec@1 51.562 (53.038)	Prec@5 78.906 (82.195)
Epoch: [85][8210/14090]	Time 0.744 (0.764)	Data 0.001 (0.001)	Loss 1.6643 (1.7876)	Prec@1 57.031 (53.037)	Prec@5 87.500 (82.197)
Epoch: [85][8220/14090]	Time 0.862 (0.764)	Data 0.001 (0.001)	Loss 1.9720 (1.7876)	Prec@1 48.438 (53.035)	Prec@5 79.688 (82.197)
Epoch: [85][8230/14090]	Time 0.744 (0.764)	Data 0.001 (0.001)	Loss 1.8923 (1.7876)	Prec@1 47.656 (53.035)	Prec@5 77.344 (82.196)
Epoch: [85][8240/14090]	Time 0.778 (0.764)	Data 0.001 (0.001)	Loss 1.7786 (1.7876)	Prec@1 53.906 (53.032)	Prec@5 80.469 (82.196)
Epoch: [85][8250/14090]	Time 0.734 (0.764)	Data 0.001 (0.001)	Loss 1.8076 (1.7877)	Prec@1 52.344 (53.033)	Prec@5 84.375 (82.194)
Epoch: [85][8260/14090]	Time 0.736 (0.764)	Data 0.001 (0.001)	Loss 1.9699 (1.7877)	Prec@1 47.656 (53.032)	Prec@5 80.469 (82.192)
Epoch: [85][8270/14090]	Time 0.764 (0.764)	Data 0.001 (0.001)	Loss 1.8079 (1.7877)	Prec@1 52.344 (53.033)	Prec@5 85.938 (82.193)
Epoch: [85][8280/14090]	Time 0.729 (0.764)	Data 0.001 (0.001)	Loss 1.6887 (1.7878)	Prec@1 52.344 (53.031)	Prec@5 82.031 (82.192)
Epoch: [85][8290/14090]	Time 0.840 (0.764)	Data 0.001 (0.001)	Loss 1.4295 (1.7878)	Prec@1 61.719 (53.030)	Prec@5 87.500 (82.191)
Epoch: [85][8300/14090]	Time 0.776 (0.764)	Data 0.001 (0.001)	Loss 1.8474 (1.7879)	Prec@1 53.906 (53.029)	Prec@5 84.375 (82.189)
Epoch: [85][8310/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 1.8653 (1.7879)	Prec@1 48.438 (53.030)	Prec@5 83.594 (82.190)
Epoch: [85][8320/14090]	Time 0.728 (0.764)	Data 0.001 (0.001)	Loss 1.7533 (1.7879)	Prec@1 53.906 (53.029)	Prec@5 78.906 (82.190)
Epoch: [85][8330/14090]	Time 0.720 (0.764)	Data 0.001 (0.001)	Loss 1.7535 (1.7880)	Prec@1 55.469 (53.028)	Prec@5 81.250 (82.188)
Epoch: [85][8340/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 1.8611 (1.7881)	Prec@1 49.219 (53.026)	Prec@5 80.469 (82.189)
Epoch: [85][8350/14090]	Time 0.748 (0.764)	Data 0.001 (0.001)	Loss 1.8639 (1.7881)	Prec@1 51.562 (53.025)	Prec@5 82.031 (82.189)
Epoch: [85][8360/14090]	Time 0.873 (0.764)	Data 0.001 (0.001)	Loss 1.8748 (1.7881)	Prec@1 53.906 (53.024)	Prec@5 83.594 (82.188)
Epoch: [85][8370/14090]	Time 0.730 (0.764)	Data 0.001 (0.001)	Loss 1.7493 (1.7881)	Prec@1 54.688 (53.025)	Prec@5 83.594 (82.189)
Epoch: [85][8380/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 1.9401 (1.7881)	Prec@1 47.656 (53.025)	Prec@5 81.250 (82.189)
Epoch: [85][8390/14090]	Time 0.739 (0.764)	Data 0.001 (0.001)	Loss 1.8183 (1.7880)	Prec@1 53.906 (53.026)	Prec@5 81.250 (82.191)
Epoch: [85][8400/14090]	Time 0.748 (0.764)	Data 0.001 (0.001)	Loss 1.5693 (1.7881)	Prec@1 58.594 (53.026)	Prec@5 86.719 (82.190)
Epoch: [85][8410/14090]	Time 0.765 (0.764)	Data 0.001 (0.001)	Loss 1.8232 (1.7881)	Prec@1 53.906 (53.023)	Prec@5 82.031 (82.188)
Epoch: [85][8420/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 1.5382 (1.7881)	Prec@1 56.250 (53.024)	Prec@5 86.719 (82.189)
Epoch: [85][8430/14090]	Time 0.879 (0.764)	Data 0.001 (0.001)	Loss 1.8319 (1.7880)	Prec@1 51.562 (53.025)	Prec@5 83.594 (82.189)
Epoch: [85][8440/14090]	Time 0.740 (0.764)	Data 0.001 (0.001)	Loss 1.6481 (1.7881)	Prec@1 50.000 (53.023)	Prec@5 85.156 (82.189)
Epoch: [85][8450/14090]	Time 0.767 (0.764)	Data 0.001 (0.001)	Loss 2.0271 (1.7882)	Prec@1 50.000 (53.019)	Prec@5 75.781 (82.186)
Epoch: [85][8460/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 1.9889 (1.7883)	Prec@1 46.875 (53.020)	Prec@5 82.031 (82.185)
Epoch: [85][8470/14090]	Time 0.734 (0.764)	Data 0.001 (0.001)	Loss 1.6599 (1.7882)	Prec@1 54.688 (53.022)	Prec@5 85.156 (82.184)
Epoch: [85][8480/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 1.6639 (1.7883)	Prec@1 58.594 (53.023)	Prec@5 81.250 (82.183)
Epoch: [85][8490/14090]	Time 0.729 (0.764)	Data 0.001 (0.001)	Loss 1.7723 (1.7882)	Prec@1 53.906 (53.022)	Prec@5 82.031 (82.184)
Epoch: [85][8500/14090]	Time 0.892 (0.764)	Data 0.001 (0.001)	Loss 1.9226 (1.7883)	Prec@1 44.531 (53.021)	Prec@5 78.125 (82.183)
Epoch: [85][8510/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 1.7367 (1.7884)	Prec@1 50.000 (53.017)	Prec@5 89.062 (82.179)
Epoch: [85][8520/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 1.7678 (1.7885)	Prec@1 57.031 (53.016)	Prec@5 80.469 (82.179)
Epoch: [85][8530/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 1.8024 (1.7884)	Prec@1 49.219 (53.016)	Prec@5 81.250 (82.183)
Epoch: [85][8540/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 1.6707 (1.7884)	Prec@1 51.562 (53.015)	Prec@5 85.156 (82.182)
Epoch: [85][8550/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 1.7459 (1.7884)	Prec@1 52.344 (53.013)	Prec@5 84.375 (82.183)
Epoch: [85][8560/14090]	Time 0.723 (0.764)	Data 0.001 (0.001)	Loss 1.8964 (1.7883)	Prec@1 52.344 (53.016)	Prec@5 75.000 (82.182)
Epoch: [85][8570/14090]	Time 0.852 (0.764)	Data 0.001 (0.001)	Loss 2.0620 (1.7884)	Prec@1 47.656 (53.016)	Prec@5 78.906 (82.181)
Epoch: [85][8580/14090]	Time 0.736 (0.764)	Data 0.001 (0.001)	Loss 1.6787 (1.7883)	Prec@1 53.125 (53.018)	Prec@5 85.938 (82.182)
Epoch: [85][8590/14090]	Time 0.744 (0.764)	Data 0.001 (0.001)	Loss 1.9673 (1.7884)	Prec@1 44.531 (53.017)	Prec@5 78.125 (82.181)
Epoch: [85][8600/14090]	Time 0.735 (0.764)	Data 0.001 (0.001)	Loss 2.0836 (1.7884)	Prec@1 47.656 (53.015)	Prec@5 80.469 (82.181)
Epoch: [85][8610/14090]	Time 0.728 (0.764)	Data 0.001 (0.001)	Loss 2.2006 (1.7884)	Prec@1 44.531 (53.015)	Prec@5 74.219 (82.180)
Epoch: [85][8620/14090]	Time 0.758 (0.764)	Data 0.001 (0.001)	Loss 1.9747 (1.7885)	Prec@1 53.906 (53.014)	Prec@5 76.562 (82.179)
Epoch: [85][8630/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 1.8601 (1.7885)	Prec@1 46.094 (53.013)	Prec@5 83.594 (82.178)
Epoch: [85][8640/14090]	Time 0.851 (0.764)	Data 0.001 (0.001)	Loss 1.7284 (1.7886)	Prec@1 56.250 (53.010)	Prec@5 80.469 (82.176)
Epoch: [85][8650/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 1.6963 (1.7887)	Prec@1 55.469 (53.010)	Prec@5 82.812 (82.175)
Epoch: [85][8660/14090]	Time 0.724 (0.764)	Data 0.001 (0.001)	Loss 1.8925 (1.7887)	Prec@1 55.469 (53.007)	Prec@5 76.562 (82.175)
Epoch: [85][8670/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 1.8136 (1.7887)	Prec@1 52.344 (53.006)	Prec@5 85.156 (82.175)
Epoch: [85][8680/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 2.0175 (1.7888)	Prec@1 49.219 (53.005)	Prec@5 79.688 (82.174)
Epoch: [85][8690/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 1.8629 (1.7888)	Prec@1 50.000 (53.004)	Prec@5 80.469 (82.173)
Epoch: [85][8700/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 1.7917 (1.7888)	Prec@1 53.906 (53.007)	Prec@5 82.812 (82.173)
Epoch: [85][8710/14090]	Time 0.901 (0.764)	Data 0.001 (0.001)	Loss 1.9881 (1.7889)	Prec@1 46.875 (53.004)	Prec@5 76.562 (82.172)
Epoch: [85][8720/14090]	Time 0.773 (0.764)	Data 0.001 (0.001)	Loss 1.6876 (1.7888)	Prec@1 52.344 (53.006)	Prec@5 83.594 (82.173)
Epoch: [85][8730/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 1.8112 (1.7888)	Prec@1 53.125 (53.003)	Prec@5 82.031 (82.174)
Epoch: [85][8740/14090]	Time 0.735 (0.764)	Data 0.001 (0.001)	Loss 1.4580 (1.7887)	Prec@1 65.625 (53.005)	Prec@5 86.719 (82.176)
Epoch: [85][8750/14090]	Time 0.773 (0.764)	Data 0.001 (0.001)	Loss 1.9288 (1.7888)	Prec@1 50.781 (53.003)	Prec@5 80.469 (82.174)
Epoch: [85][8760/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 1.9000 (1.7888)	Prec@1 54.688 (53.005)	Prec@5 82.031 (82.174)
Epoch: [85][8770/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 1.5371 (1.7887)	Prec@1 56.250 (53.007)	Prec@5 85.938 (82.178)
Epoch: [85][8780/14090]	Time 0.893 (0.764)	Data 0.001 (0.001)	Loss 1.9104 (1.7888)	Prec@1 51.562 (53.006)	Prec@5 78.125 (82.176)
Epoch: [85][8790/14090]	Time 0.759 (0.764)	Data 0.001 (0.001)	Loss 1.6705 (1.7887)	Prec@1 54.688 (53.008)	Prec@5 85.938 (82.178)
Epoch: [85][8800/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 1.5841 (1.7887)	Prec@1 53.125 (53.007)	Prec@5 86.719 (82.178)
Epoch: [85][8810/14090]	Time 0.772 (0.764)	Data 0.001 (0.001)	Loss 1.8056 (1.7887)	Prec@1 53.125 (53.005)	Prec@5 83.594 (82.178)
Epoch: [85][8820/14090]	Time 0.760 (0.764)	Data 0.001 (0.001)	Loss 2.0077 (1.7887)	Prec@1 48.438 (53.006)	Prec@5 78.906 (82.179)
Epoch: [85][8830/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 1.5956 (1.7887)	Prec@1 52.344 (53.007)	Prec@5 83.594 (82.178)
Epoch: [85][8840/14090]	Time 0.727 (0.764)	Data 0.001 (0.001)	Loss 1.8703 (1.7887)	Prec@1 50.781 (53.006)	Prec@5 82.812 (82.178)
Epoch: [85][8850/14090]	Time 0.840 (0.764)	Data 0.001 (0.001)	Loss 1.4919 (1.7887)	Prec@1 55.469 (53.006)	Prec@5 85.938 (82.178)
Epoch: [85][8860/14090]	Time 0.726 (0.764)	Data 0.002 (0.001)	Loss 1.5501 (1.7886)	Prec@1 58.594 (53.008)	Prec@5 83.594 (82.178)
Epoch: [85][8870/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 1.7103 (1.7887)	Prec@1 53.906 (53.006)	Prec@5 85.938 (82.179)
Epoch: [85][8880/14090]	Time 0.761 (0.764)	Data 0.001 (0.001)	Loss 1.7686 (1.7886)	Prec@1 49.219 (53.007)	Prec@5 85.156 (82.179)
Epoch: [85][8890/14090]	Time 0.735 (0.764)	Data 0.001 (0.001)	Loss 1.6791 (1.7887)	Prec@1 53.906 (53.007)	Prec@5 83.594 (82.178)
Epoch: [85][8900/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 1.8236 (1.7886)	Prec@1 45.312 (53.009)	Prec@5 83.594 (82.181)
Epoch: [85][8910/14090]	Time 0.735 (0.764)	Data 0.001 (0.001)	Loss 1.7727 (1.7886)	Prec@1 54.688 (53.007)	Prec@5 78.906 (82.181)
Epoch: [85][8920/14090]	Time 0.834 (0.764)	Data 0.001 (0.001)	Loss 1.7829 (1.7887)	Prec@1 53.906 (53.006)	Prec@5 82.812 (82.180)
Epoch: [85][8930/14090]	Time 0.736 (0.764)	Data 0.001 (0.001)	Loss 1.8695 (1.7887)	Prec@1 50.781 (53.005)	Prec@5 82.812 (82.181)
Epoch: [85][8940/14090]	Time 0.744 (0.764)	Data 0.001 (0.001)	Loss 1.8467 (1.7886)	Prec@1 54.688 (53.006)	Prec@5 81.250 (82.181)
Epoch: [85][8950/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 1.7714 (1.7886)	Prec@1 56.250 (53.006)	Prec@5 83.594 (82.182)
Epoch: [85][8960/14090]	Time 0.767 (0.764)	Data 0.001 (0.001)	Loss 1.9444 (1.7886)	Prec@1 52.344 (53.006)	Prec@5 78.906 (82.180)
Epoch: [85][8970/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 1.7846 (1.7886)	Prec@1 50.000 (53.005)	Prec@5 78.906 (82.179)
Epoch: [85][8980/14090]	Time 0.736 (0.764)	Data 0.001 (0.001)	Loss 1.5987 (1.7887)	Prec@1 60.938 (53.005)	Prec@5 86.719 (82.178)
Epoch: [85][8990/14090]	Time 0.885 (0.764)	Data 0.001 (0.001)	Loss 1.6441 (1.7886)	Prec@1 57.812 (53.006)	Prec@5 82.812 (82.179)
Epoch: [85][9000/14090]	Time 0.766 (0.764)	Data 0.001 (0.001)	Loss 1.9502 (1.7886)	Prec@1 55.469 (53.008)	Prec@5 78.125 (82.179)
Epoch: [85][9010/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 1.9284 (1.7886)	Prec@1 53.125 (53.008)	Prec@5 78.125 (82.180)
Epoch: [85][9020/14090]	Time 0.767 (0.764)	Data 0.001 (0.001)	Loss 1.7544 (1.7888)	Prec@1 50.000 (53.003)	Prec@5 85.938 (82.176)
Epoch: [85][9030/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 1.6348 (1.7888)	Prec@1 55.469 (53.003)	Prec@5 85.156 (82.178)
Epoch: [85][9040/14090]	Time 0.724 (0.764)	Data 0.001 (0.001)	Loss 1.5482 (1.7888)	Prec@1 62.500 (53.003)	Prec@5 87.500 (82.178)
Epoch: [85][9050/14090]	Time 0.781 (0.764)	Data 0.001 (0.001)	Loss 2.0695 (1.7887)	Prec@1 50.000 (53.005)	Prec@5 78.906 (82.180)
Epoch: [85][9060/14090]	Time 0.856 (0.764)	Data 0.001 (0.001)	Loss 1.6166 (1.7887)	Prec@1 58.594 (53.006)	Prec@5 87.500 (82.181)
Epoch: [85][9070/14090]	Time 0.748 (0.764)	Data 0.001 (0.001)	Loss 1.8377 (1.7887)	Prec@1 54.688 (53.006)	Prec@5 81.250 (82.182)
Epoch: [85][9080/14090]	Time 0.732 (0.764)	Data 0.001 (0.001)	Loss 1.9015 (1.7887)	Prec@1 51.562 (53.006)	Prec@5 77.344 (82.180)
Epoch: [85][9090/14090]	Time 0.722 (0.764)	Data 0.001 (0.001)	Loss 1.8210 (1.7887)	Prec@1 53.906 (53.006)	Prec@5 80.469 (82.180)
Epoch: [85][9100/14090]	Time 0.762 (0.764)	Data 0.001 (0.001)	Loss 1.5723 (1.7887)	Prec@1 63.281 (53.006)	Prec@5 82.812 (82.181)
Epoch: [85][9110/14090]	Time 0.765 (0.764)	Data 0.001 (0.001)	Loss 2.1273 (1.7888)	Prec@1 44.531 (53.004)	Prec@5 78.125 (82.178)
Epoch: [85][9120/14090]	Time 0.770 (0.764)	Data 0.001 (0.001)	Loss 1.7967 (1.7889)	Prec@1 51.562 (53.001)	Prec@5 86.719 (82.176)
Epoch: [85][9130/14090]	Time 0.862 (0.764)	Data 0.001 (0.001)	Loss 1.7448 (1.7889)	Prec@1 50.781 (53.002)	Prec@5 83.594 (82.174)
Epoch: [85][9140/14090]	Time 0.729 (0.764)	Data 0.001 (0.001)	Loss 1.7197 (1.7889)	Prec@1 53.906 (53.004)	Prec@5 81.250 (82.175)
Epoch: [85][9150/14090]	Time 0.740 (0.764)	Data 0.001 (0.001)	Loss 2.1711 (1.7889)	Prec@1 47.656 (53.005)	Prec@5 76.562 (82.174)
Epoch: [85][9160/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 1.9704 (1.7890)	Prec@1 51.562 (53.004)	Prec@5 81.250 (82.174)
Epoch: [85][9170/14090]	Time 0.736 (0.764)	Data 0.001 (0.001)	Loss 1.7835 (1.7890)	Prec@1 51.562 (53.004)	Prec@5 84.375 (82.176)
Epoch: [85][9180/14090]	Time 0.727 (0.764)	Data 0.001 (0.001)	Loss 1.9089 (1.7890)	Prec@1 48.438 (53.004)	Prec@5 82.812 (82.175)
Epoch: [85][9190/14090]	Time 0.773 (0.764)	Data 0.001 (0.001)	Loss 1.6345 (1.7890)	Prec@1 58.594 (53.003)	Prec@5 85.938 (82.177)
Epoch: [85][9200/14090]	Time 0.837 (0.764)	Data 0.001 (0.001)	Loss 1.8637 (1.7890)	Prec@1 53.906 (53.001)	Prec@5 80.469 (82.176)
Epoch: [85][9210/14090]	Time 0.732 (0.764)	Data 0.001 (0.001)	Loss 1.7419 (1.7891)	Prec@1 51.562 (53.001)	Prec@5 81.250 (82.174)
Epoch: [85][9220/14090]	Time 0.727 (0.764)	Data 0.001 (0.001)	Loss 1.8186 (1.7890)	Prec@1 46.875 (53.002)	Prec@5 82.031 (82.175)
Epoch: [85][9230/14090]	Time 0.732 (0.764)	Data 0.001 (0.001)	Loss 1.9126 (1.7890)	Prec@1 50.781 (53.002)	Prec@5 79.688 (82.174)
Epoch: [85][9240/14090]	Time 0.760 (0.764)	Data 0.001 (0.001)	Loss 1.9260 (1.7890)	Prec@1 44.531 (53.001)	Prec@5 75.000 (82.174)
Epoch: [85][9250/14090]	Time 0.740 (0.764)	Data 0.001 (0.001)	Loss 1.9081 (1.7891)	Prec@1 48.438 (52.998)	Prec@5 78.906 (82.172)
Epoch: [85][9260/14090]	Time 0.724 (0.764)	Data 0.001 (0.001)	Loss 1.8524 (1.7892)	Prec@1 50.000 (52.996)	Prec@5 82.031 (82.171)
Epoch: [85][9270/14090]	Time 0.857 (0.764)	Data 0.001 (0.001)	Loss 2.0115 (1.7892)	Prec@1 47.656 (52.994)	Prec@5 79.688 (82.171)
Epoch: [85][9280/14090]	Time 0.779 (0.764)	Data 0.001 (0.001)	Loss 1.6525 (1.7893)	Prec@1 50.781 (52.992)	Prec@5 90.625 (82.169)
Epoch: [85][9290/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 1.7862 (1.7892)	Prec@1 53.906 (52.993)	Prec@5 76.562 (82.170)
Epoch: [85][9300/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 1.5489 (1.7893)	Prec@1 60.938 (52.994)	Prec@5 85.156 (82.169)
Epoch: [85][9310/14090]	Time 0.730 (0.764)	Data 0.001 (0.001)	Loss 1.9609 (1.7893)	Prec@1 50.000 (52.994)	Prec@5 79.688 (82.169)
Epoch: [85][9320/14090]	Time 0.758 (0.764)	Data 0.001 (0.001)	Loss 1.7425 (1.7893)	Prec@1 53.906 (52.993)	Prec@5 85.156 (82.170)
Epoch: [85][9330/14090]	Time 0.775 (0.764)	Data 0.001 (0.001)	Loss 1.7285 (1.7894)	Prec@1 50.000 (52.991)	Prec@5 85.938 (82.168)
Epoch: [85][9340/14090]	Time 0.888 (0.764)	Data 0.001 (0.001)	Loss 1.6523 (1.7893)	Prec@1 57.031 (52.991)	Prec@5 85.156 (82.168)
Epoch: [85][9350/14090]	Time 0.722 (0.764)	Data 0.001 (0.001)	Loss 1.7910 (1.7893)	Prec@1 56.250 (52.993)	Prec@5 82.031 (82.169)
Epoch: [85][9360/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 1.3146 (1.7893)	Prec@1 63.281 (52.995)	Prec@5 91.406 (82.170)
Epoch: [85][9370/14090]	Time 0.721 (0.764)	Data 0.001 (0.001)	Loss 1.9615 (1.7893)	Prec@1 49.219 (52.993)	Prec@5 78.906 (82.171)
Epoch: [85][9380/14090]	Time 0.745 (0.764)	Data 0.001 (0.001)	Loss 1.9898 (1.7894)	Prec@1 47.656 (52.989)	Prec@5 81.250 (82.170)
Epoch: [85][9390/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 1.9963 (1.7894)	Prec@1 49.219 (52.988)	Prec@5 78.906 (82.169)
Epoch: [85][9400/14090]	Time 0.772 (0.764)	Data 0.001 (0.001)	Loss 1.6613 (1.7895)	Prec@1 61.719 (52.989)	Prec@5 86.719 (82.170)
Epoch: [85][9410/14090]	Time 0.854 (0.764)	Data 0.001 (0.001)	Loss 1.7453 (1.7894)	Prec@1 53.125 (52.989)	Prec@5 80.469 (82.170)
Epoch: [85][9420/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 2.0405 (1.7895)	Prec@1 49.219 (52.989)	Prec@5 82.031 (82.170)
Epoch: [85][9430/14090]	Time 0.735 (0.764)	Data 0.001 (0.001)	Loss 1.7015 (1.7894)	Prec@1 53.125 (52.989)	Prec@5 85.938 (82.171)
Epoch: [85][9440/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 1.8444 (1.7895)	Prec@1 49.219 (52.988)	Prec@5 79.688 (82.169)
Epoch: [85][9450/14090]	Time 0.728 (0.764)	Data 0.001 (0.001)	Loss 1.8459 (1.7895)	Prec@1 51.562 (52.988)	Prec@5 83.594 (82.169)
Epoch: [85][9460/14090]	Time 0.769 (0.764)	Data 0.001 (0.001)	Loss 1.7054 (1.7895)	Prec@1 56.250 (52.989)	Prec@5 84.375 (82.168)
Epoch: [85][9470/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 2.0281 (1.7895)	Prec@1 46.094 (52.986)	Prec@5 79.688 (82.168)
Epoch: [85][9480/14090]	Time 0.850 (0.764)	Data 0.001 (0.001)	Loss 1.5990 (1.7894)	Prec@1 54.688 (52.987)	Prec@5 84.375 (82.169)
Epoch: [85][9490/14090]	Time 0.759 (0.764)	Data 0.001 (0.001)	Loss 1.7921 (1.7894)	Prec@1 50.000 (52.987)	Prec@5 82.812 (82.170)
Epoch: [85][9500/14090]	Time 0.764 (0.764)	Data 0.001 (0.001)	Loss 1.8748 (1.7894)	Prec@1 51.562 (52.986)	Prec@5 78.906 (82.170)
Epoch: [85][9510/14090]	Time 0.744 (0.764)	Data 0.001 (0.001)	Loss 1.8720 (1.7894)	Prec@1 50.781 (52.986)	Prec@5 78.125 (82.170)
Epoch: [85][9520/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 1.5451 (1.7895)	Prec@1 57.031 (52.983)	Prec@5 87.500 (82.169)
Epoch: [85][9530/14090]	Time 0.769 (0.764)	Data 0.001 (0.001)	Loss 1.9243 (1.7895)	Prec@1 50.000 (52.985)	Prec@5 80.469 (82.168)
Epoch: [85][9540/14090]	Time 0.771 (0.764)	Data 0.001 (0.001)	Loss 1.7397 (1.7894)	Prec@1 52.344 (52.984)	Prec@5 84.375 (82.169)
Epoch: [85][9550/14090]	Time 0.864 (0.764)	Data 0.001 (0.001)	Loss 1.6860 (1.7894)	Prec@1 61.719 (52.985)	Prec@5 85.156 (82.169)
Epoch: [85][9560/14090]	Time 0.725 (0.764)	Data 0.001 (0.001)	Loss 1.8676 (1.7894)	Prec@1 51.562 (52.984)	Prec@5 80.469 (82.169)
Epoch: [85][9570/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 2.3760 (1.7894)	Prec@1 38.281 (52.984)	Prec@5 72.656 (82.169)
Epoch: [85][9580/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 1.8250 (1.7895)	Prec@1 57.031 (52.983)	Prec@5 78.125 (82.169)
Epoch: [85][9590/14090]	Time 0.744 (0.764)	Data 0.001 (0.001)	Loss 1.8179 (1.7895)	Prec@1 56.250 (52.982)	Prec@5 82.031 (82.168)
Epoch: [85][9600/14090]	Time 0.759 (0.764)	Data 0.001 (0.001)	Loss 2.1005 (1.7896)	Prec@1 47.656 (52.981)	Prec@5 78.906 (82.166)
Epoch: [85][9610/14090]	Time 0.725 (0.764)	Data 0.001 (0.001)	Loss 1.8684 (1.7896)	Prec@1 46.875 (52.979)	Prec@5 78.906 (82.165)
Epoch: [85][9620/14090]	Time 0.847 (0.764)	Data 0.001 (0.001)	Loss 1.5562 (1.7896)	Prec@1 52.344 (52.978)	Prec@5 85.156 (82.166)
Epoch: [85][9630/14090]	Time 0.745 (0.764)	Data 0.001 (0.001)	Loss 1.8920 (1.7897)	Prec@1 50.000 (52.976)	Prec@5 78.125 (82.164)
Epoch: [85][9640/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 1.8542 (1.7897)	Prec@1 50.781 (52.976)	Prec@5 82.031 (82.163)
Epoch: [85][9650/14090]	Time 0.725 (0.764)	Data 0.001 (0.001)	Loss 1.9985 (1.7898)	Prec@1 50.000 (52.975)	Prec@5 78.125 (82.163)
Epoch: [85][9660/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 1.9614 (1.7897)	Prec@1 57.812 (52.976)	Prec@5 78.906 (82.164)
Epoch: [85][9670/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.2323 (1.7898)	Prec@1 46.094 (52.975)	Prec@5 75.781 (82.162)
Epoch: [85][9680/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 2.0066 (1.7898)	Prec@1 46.875 (52.974)	Prec@5 82.812 (82.163)
Epoch: [85][9690/14090]	Time 0.848 (0.764)	Data 0.001 (0.001)	Loss 1.9530 (1.7899)	Prec@1 55.469 (52.973)	Prec@5 81.250 (82.162)
Epoch: [85][9700/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 2.0019 (1.7899)	Prec@1 46.875 (52.973)	Prec@5 78.906 (82.163)
Epoch: [85][9710/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 1.9210 (1.7899)	Prec@1 50.781 (52.974)	Prec@5 83.594 (82.165)
Epoch: [85][9720/14090]	Time 0.761 (0.764)	Data 0.001 (0.001)	Loss 1.8713 (1.7899)	Prec@1 48.438 (52.972)	Prec@5 81.250 (82.164)
Epoch: [85][9730/14090]	Time 0.743 (0.764)	Data 0.001 (0.001)	Loss 1.8052 (1.7899)	Prec@1 52.344 (52.972)	Prec@5 82.812 (82.164)
Epoch: [85][9740/14090]	Time 0.744 (0.764)	Data 0.001 (0.001)	Loss 1.6202 (1.7899)	Prec@1 57.031 (52.973)	Prec@5 85.938 (82.165)
Epoch: [85][9750/14090]	Time 0.727 (0.764)	Data 0.001 (0.001)	Loss 1.9611 (1.7899)	Prec@1 50.000 (52.974)	Prec@5 82.031 (82.165)
Epoch: [85][9760/14090]	Time 0.824 (0.764)	Data 0.001 (0.001)	Loss 1.6783 (1.7899)	Prec@1 54.688 (52.974)	Prec@5 83.594 (82.165)
Epoch: [85][9770/14090]	Time 0.778 (0.764)	Data 0.001 (0.001)	Loss 1.8397 (1.7899)	Prec@1 57.031 (52.975)	Prec@5 83.594 (82.166)
Epoch: [85][9780/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 1.6160 (1.7898)	Prec@1 57.812 (52.976)	Prec@5 82.812 (82.166)
Epoch: [85][9790/14090]	Time 0.761 (0.764)	Data 0.001 (0.001)	Loss 1.7581 (1.7898)	Prec@1 53.906 (52.975)	Prec@5 82.031 (82.166)
Epoch: [85][9800/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 1.6669 (1.7898)	Prec@1 55.469 (52.975)	Prec@5 85.938 (82.166)
Epoch: [85][9810/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 1.7912 (1.7899)	Prec@1 51.562 (52.975)	Prec@5 83.594 (82.164)
Epoch: [85][9820/14090]	Time 0.746 (0.764)	Data 0.001 (0.001)	Loss 1.6959 (1.7899)	Prec@1 54.688 (52.976)	Prec@5 84.375 (82.164)
Epoch: [85][9830/14090]	Time 0.866 (0.764)	Data 0.001 (0.001)	Loss 1.5637 (1.7899)	Prec@1 55.469 (52.975)	Prec@5 83.594 (82.163)
Epoch: [85][9840/14090]	Time 0.745 (0.764)	Data 0.001 (0.001)	Loss 1.6337 (1.7899)	Prec@1 57.031 (52.975)	Prec@5 83.594 (82.164)
Epoch: [85][9850/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 1.7463 (1.7899)	Prec@1 56.250 (52.976)	Prec@5 83.594 (82.164)
Epoch: [85][9860/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 1.7941 (1.7899)	Prec@1 50.781 (52.978)	Prec@5 84.375 (82.164)
Epoch: [85][9870/14090]	Time 0.764 (0.764)	Data 0.001 (0.001)	Loss 1.4997 (1.7898)	Prec@1 59.375 (52.977)	Prec@5 87.500 (82.166)
Epoch: [85][9880/14090]	Time 0.760 (0.764)	Data 0.001 (0.001)	Loss 1.8328 (1.7898)	Prec@1 56.250 (52.977)	Prec@5 81.250 (82.166)
Epoch: [85][9890/14090]	Time 0.735 (0.764)	Data 0.001 (0.001)	Loss 1.6036 (1.7899)	Prec@1 57.812 (52.977)	Prec@5 83.594 (82.166)
Epoch: [85][9900/14090]	Time 0.844 (0.764)	Data 0.001 (0.001)	Loss 2.0064 (1.7900)	Prec@1 51.562 (52.976)	Prec@5 74.219 (82.163)
Epoch: [85][9910/14090]	Time 0.746 (0.764)	Data 0.001 (0.001)	Loss 1.6731 (1.7901)	Prec@1 50.000 (52.972)	Prec@5 85.156 (82.162)
Epoch: [85][9920/14090]	Time 0.730 (0.764)	Data 0.001 (0.001)	Loss 1.8552 (1.7901)	Prec@1 53.906 (52.973)	Prec@5 76.562 (82.161)
Epoch: [85][9930/14090]	Time 0.735 (0.764)	Data 0.001 (0.001)	Loss 1.8769 (1.7901)	Prec@1 51.562 (52.974)	Prec@5 81.250 (82.161)
Epoch: [85][9940/14090]	Time 0.729 (0.764)	Data 0.001 (0.001)	Loss 1.8241 (1.7901)	Prec@1 57.812 (52.974)	Prec@5 78.125 (82.161)
Epoch: [85][9950/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 1.8626 (1.7902)	Prec@1 54.688 (52.973)	Prec@5 82.812 (82.159)
Epoch: [85][9960/14090]	Time 0.728 (0.764)	Data 0.001 (0.001)	Loss 1.6051 (1.7901)	Prec@1 55.469 (52.974)	Prec@5 84.375 (82.161)
Epoch: [85][9970/14090]	Time 0.830 (0.764)	Data 0.001 (0.001)	Loss 1.7489 (1.7901)	Prec@1 55.469 (52.974)	Prec@5 81.250 (82.161)
Epoch: [85][9980/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 1.5768 (1.7901)	Prec@1 54.688 (52.974)	Prec@5 87.500 (82.161)
Epoch: [85][9990/14090]	Time 0.744 (0.764)	Data 0.001 (0.001)	Loss 1.8255 (1.7902)	Prec@1 51.562 (52.972)	Prec@5 82.812 (82.160)
Epoch: [85][10000/14090]	Time 0.739 (0.764)	Data 0.001 (0.001)	Loss 1.8876 (1.7902)	Prec@1 48.438 (52.972)	Prec@5 78.125 (82.160)
Epoch: [85][10010/14090]	Time 0.724 (0.764)	Data 0.001 (0.001)	Loss 1.9649 (1.7902)	Prec@1 50.000 (52.971)	Prec@5 81.250 (82.160)
Epoch: [85][10020/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 1.8242 (1.7902)	Prec@1 48.438 (52.970)	Prec@5 82.812 (82.159)
Epoch: [85][10030/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 1.7295 (1.7902)	Prec@1 53.125 (52.968)	Prec@5 82.812 (82.159)
Epoch: [85][10040/14090]	Time 0.872 (0.764)	Data 0.001 (0.001)	Loss 1.6238 (1.7902)	Prec@1 53.125 (52.969)	Prec@5 82.812 (82.160)
Epoch: [85][10050/14090]	Time 0.729 (0.764)	Data 0.001 (0.001)	Loss 1.9443 (1.7901)	Prec@1 47.656 (52.971)	Prec@5 80.469 (82.160)
Epoch: [85][10060/14090]	Time 0.730 (0.764)	Data 0.001 (0.001)	Loss 1.7729 (1.7902)	Prec@1 57.812 (52.969)	Prec@5 79.688 (82.158)
Epoch: [85][10070/14090]	Time 0.725 (0.764)	Data 0.001 (0.001)	Loss 1.9705 (1.7903)	Prec@1 46.875 (52.967)	Prec@5 77.344 (82.157)
Epoch: [85][10080/14090]	Time 0.759 (0.764)	Data 0.001 (0.001)	Loss 1.8795 (1.7903)	Prec@1 48.438 (52.964)	Prec@5 83.594 (82.158)
Epoch: [85][10090/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 1.8261 (1.7903)	Prec@1 53.906 (52.967)	Prec@5 80.469 (82.159)
Epoch: [85][10100/14090]	Time 0.727 (0.764)	Data 0.001 (0.001)	Loss 1.7589 (1.7902)	Prec@1 56.250 (52.968)	Prec@5 83.594 (82.159)
Epoch: [85][10110/14090]	Time 0.892 (0.764)	Data 0.001 (0.001)	Loss 1.8282 (1.7902)	Prec@1 52.344 (52.967)	Prec@5 83.594 (82.161)
Epoch: [85][10120/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 2.0526 (1.7903)	Prec@1 51.562 (52.968)	Prec@5 74.219 (82.159)
Epoch: [85][10130/14090]	Time 0.744 (0.764)	Data 0.001 (0.001)	Loss 1.5386 (1.7903)	Prec@1 56.250 (52.967)	Prec@5 89.062 (82.159)
Epoch: [85][10140/14090]	Time 0.736 (0.764)	Data 0.001 (0.001)	Loss 1.6666 (1.7903)	Prec@1 50.781 (52.964)	Prec@5 87.500 (82.159)
Epoch: [85][10150/14090]	Time 0.727 (0.764)	Data 0.001 (0.001)	Loss 1.5604 (1.7903)	Prec@1 59.375 (52.965)	Prec@5 85.938 (82.159)
Epoch: [85][10160/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 1.4903 (1.7904)	Prec@1 59.375 (52.964)	Prec@5 89.844 (82.158)
Epoch: [85][10170/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 1.6397 (1.7904)	Prec@1 57.031 (52.964)	Prec@5 82.812 (82.159)
Epoch: [85][10180/14090]	Time 0.906 (0.764)	Data 0.001 (0.001)	Loss 1.5689 (1.7903)	Prec@1 60.156 (52.965)	Prec@5 83.594 (82.159)
Epoch: [85][10190/14090]	Time 0.781 (0.764)	Data 0.001 (0.001)	Loss 1.4049 (1.7903)	Prec@1 60.938 (52.964)	Prec@5 87.500 (82.160)
Epoch: [85][10200/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 1.4935 (1.7902)	Prec@1 62.500 (52.967)	Prec@5 89.062 (82.161)
Epoch: [85][10210/14090]	Time 0.772 (0.764)	Data 0.001 (0.001)	Loss 1.7388 (1.7901)	Prec@1 57.031 (52.969)	Prec@5 79.688 (82.162)
Epoch: [85][10220/14090]	Time 0.739 (0.764)	Data 0.001 (0.001)	Loss 1.9055 (1.7902)	Prec@1 50.000 (52.967)	Prec@5 80.469 (82.159)
Epoch: [85][10230/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 1.7836 (1.7903)	Prec@1 54.688 (52.965)	Prec@5 81.250 (82.159)
Epoch: [85][10240/14090]	Time 0.723 (0.764)	Data 0.001 (0.001)	Loss 1.8763 (1.7902)	Prec@1 50.000 (52.966)	Prec@5 76.562 (82.159)
Epoch: [85][10250/14090]	Time 0.863 (0.764)	Data 0.001 (0.001)	Loss 1.9290 (1.7902)	Prec@1 46.875 (52.965)	Prec@5 82.031 (82.159)
Epoch: [85][10260/14090]	Time 0.760 (0.764)	Data 0.001 (0.001)	Loss 1.9232 (1.7902)	Prec@1 47.656 (52.965)	Prec@5 80.469 (82.158)
Epoch: [85][10270/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 1.7999 (1.7903)	Prec@1 50.781 (52.962)	Prec@5 85.156 (82.158)
Epoch: [85][10280/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 1.7283 (1.7903)	Prec@1 53.125 (52.961)	Prec@5 84.375 (82.157)
Epoch: [85][10290/14090]	Time 0.729 (0.764)	Data 0.001 (0.001)	Loss 1.7107 (1.7903)	Prec@1 54.688 (52.962)	Prec@5 82.031 (82.156)
Epoch: [85][10300/14090]	Time 0.733 (0.764)	Data 0.001 (0.001)	Loss 1.9585 (1.7903)	Prec@1 46.875 (52.960)	Prec@5 78.906 (82.156)
Epoch: [85][10310/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 1.8653 (1.7903)	Prec@1 47.656 (52.959)	Prec@5 83.594 (82.157)
Epoch: [85][10320/14090]	Time 0.829 (0.764)	Data 0.001 (0.001)	Loss 1.9438 (1.7903)	Prec@1 48.438 (52.958)	Prec@5 78.906 (82.157)
Epoch: [85][10330/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 1.5871 (1.7903)	Prec@1 54.688 (52.958)	Prec@5 84.375 (82.156)
Epoch: [85][10340/14090]	Time 0.767 (0.764)	Data 0.001 (0.001)	Loss 1.6602 (1.7904)	Prec@1 52.344 (52.956)	Prec@5 82.031 (82.155)
Epoch: [85][10350/14090]	Time 0.776 (0.764)	Data 0.001 (0.001)	Loss 1.7725 (1.7903)	Prec@1 50.781 (52.954)	Prec@5 85.156 (82.155)
Epoch: [85][10360/14090]	Time 0.726 (0.764)	Data 0.001 (0.001)	Loss 1.7220 (1.7903)	Prec@1 53.906 (52.954)	Prec@5 82.812 (82.155)
Epoch: [85][10370/14090]	Time 0.761 (0.764)	Data 0.001 (0.001)	Loss 1.5570 (1.7903)	Prec@1 61.719 (52.954)	Prec@5 86.719 (82.155)
Epoch: [85][10380/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 1.8334 (1.7904)	Prec@1 48.438 (52.952)	Prec@5 83.594 (82.155)
Epoch: [85][10390/14090]	Time 0.868 (0.764)	Data 0.001 (0.001)	Loss 1.9035 (1.7904)	Prec@1 51.562 (52.952)	Prec@5 80.469 (82.155)
Epoch: [85][10400/14090]	Time 0.730 (0.764)	Data 0.001 (0.001)	Loss 1.8176 (1.7904)	Prec@1 54.688 (52.951)	Prec@5 80.469 (82.155)
Epoch: [85][10410/14090]	Time 0.736 (0.764)	Data 0.001 (0.001)	Loss 1.6720 (1.7904)	Prec@1 54.688 (52.950)	Prec@5 85.938 (82.155)
Epoch: [85][10420/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 1.8277 (1.7904)	Prec@1 56.250 (52.951)	Prec@5 81.250 (82.156)
Epoch: [85][10430/14090]	Time 0.784 (0.764)	Data 0.001 (0.001)	Loss 1.6300 (1.7903)	Prec@1 53.906 (52.951)	Prec@5 84.375 (82.155)
Epoch: [85][10440/14090]	Time 0.762 (0.764)	Data 0.001 (0.001)	Loss 1.7925 (1.7903)	Prec@1 57.031 (52.952)	Prec@5 82.031 (82.155)
Epoch: [85][10450/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 1.9468 (1.7903)	Prec@1 48.438 (52.953)	Prec@5 83.594 (82.155)
Epoch: [85][10460/14090]	Time 0.880 (0.764)	Data 0.001 (0.001)	Loss 1.6204 (1.7902)	Prec@1 55.469 (52.954)	Prec@5 85.938 (82.157)
Epoch: [85][10470/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 1.5869 (1.7902)	Prec@1 57.031 (52.955)	Prec@5 82.812 (82.156)
Epoch: [85][10480/14090]	Time 0.732 (0.764)	Data 0.001 (0.001)	Loss 2.2114 (1.7903)	Prec@1 41.406 (52.954)	Prec@5 77.344 (82.156)
Epoch: [85][10490/14090]	Time 0.733 (0.764)	Data 0.001 (0.001)	Loss 1.5717 (1.7903)	Prec@1 57.031 (52.952)	Prec@5 82.812 (82.155)
Epoch: [85][10500/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 1.8376 (1.7903)	Prec@1 53.906 (52.954)	Prec@5 75.781 (82.155)
Epoch: [85][10510/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 1.6765 (1.7902)	Prec@1 53.125 (52.956)	Prec@5 87.500 (82.157)
Epoch: [85][10520/14090]	Time 0.732 (0.764)	Data 0.001 (0.001)	Loss 1.7496 (1.7902)	Prec@1 56.250 (52.956)	Prec@5 84.375 (82.156)
Epoch: [85][10530/14090]	Time 0.858 (0.764)	Data 0.001 (0.001)	Loss 2.2001 (1.7902)	Prec@1 50.781 (52.956)	Prec@5 75.000 (82.156)
Epoch: [85][10540/14090]	Time 0.772 (0.764)	Data 0.001 (0.001)	Loss 1.7234 (1.7903)	Prec@1 58.594 (52.955)	Prec@5 84.375 (82.157)
Epoch: [85][10550/14090]	Time 0.763 (0.764)	Data 0.001 (0.001)	Loss 1.9641 (1.7903)	Prec@1 47.656 (52.955)	Prec@5 85.156 (82.158)
Epoch: [85][10560/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 1.7458 (1.7903)	Prec@1 54.688 (52.956)	Prec@5 82.031 (82.156)
Epoch: [85][10570/14090]	Time 0.743 (0.764)	Data 0.001 (0.001)	Loss 1.6489 (1.7903)	Prec@1 52.344 (52.955)	Prec@5 84.375 (82.156)
Epoch: [85][10580/14090]	Time 0.784 (0.764)	Data 0.001 (0.001)	Loss 1.8684 (1.7903)	Prec@1 50.781 (52.955)	Prec@5 80.469 (82.156)
Epoch: [85][10590/14090]	Time 0.765 (0.764)	Data 0.001 (0.001)	Loss 1.6936 (1.7903)	Prec@1 53.906 (52.956)	Prec@5 82.031 (82.157)
Epoch: [85][10600/14090]	Time 0.865 (0.764)	Data 0.001 (0.001)	Loss 2.1126 (1.7904)	Prec@1 48.438 (52.952)	Prec@5 76.562 (82.156)
Epoch: [85][10610/14090]	Time 0.718 (0.764)	Data 0.001 (0.001)	Loss 1.9307 (1.7904)	Prec@1 55.469 (52.952)	Prec@5 77.344 (82.156)
Epoch: [85][10620/14090]	Time 0.746 (0.764)	Data 0.001 (0.001)	Loss 1.8880 (1.7904)	Prec@1 51.562 (52.954)	Prec@5 78.906 (82.156)
Epoch: [85][10630/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.1044 (1.7905)	Prec@1 42.188 (52.952)	Prec@5 82.812 (82.155)
Epoch: [85][10640/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 1.8120 (1.7905)	Prec@1 49.219 (52.951)	Prec@5 83.594 (82.155)
Epoch: [85][10650/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 2.0205 (1.7905)	Prec@1 53.125 (52.950)	Prec@5 79.688 (82.154)
Epoch: [85][10660/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 1.9563 (1.7906)	Prec@1 48.438 (52.948)	Prec@5 79.688 (82.153)
Epoch: [85][10670/14090]	Time 0.876 (0.764)	Data 0.001 (0.001)	Loss 1.8701 (1.7906)	Prec@1 52.344 (52.948)	Prec@5 77.344 (82.152)
Epoch: [85][10680/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 1.6653 (1.7906)	Prec@1 56.250 (52.948)	Prec@5 87.500 (82.152)
Epoch: [85][10690/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 1.8411 (1.7906)	Prec@1 53.906 (52.948)	Prec@5 78.125 (82.151)
Epoch: [85][10700/14090]	Time 0.739 (0.764)	Data 0.001 (0.001)	Loss 1.8313 (1.7906)	Prec@1 50.781 (52.948)	Prec@5 82.031 (82.152)
Epoch: [85][10710/14090]	Time 0.796 (0.764)	Data 0.001 (0.001)	Loss 1.8140 (1.7906)	Prec@1 44.531 (52.946)	Prec@5 82.031 (82.152)
Epoch: [85][10720/14090]	Time 0.727 (0.764)	Data 0.001 (0.001)	Loss 1.5079 (1.7906)	Prec@1 58.594 (52.947)	Prec@5 86.719 (82.152)
Epoch: [85][10730/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 1.8968 (1.7906)	Prec@1 47.656 (52.945)	Prec@5 76.562 (82.152)
Epoch: [85][10740/14090]	Time 0.877 (0.764)	Data 0.001 (0.001)	Loss 1.7088 (1.7906)	Prec@1 51.562 (52.945)	Prec@5 87.500 (82.152)
Epoch: [85][10750/14090]	Time 0.724 (0.764)	Data 0.001 (0.001)	Loss 1.5089 (1.7906)	Prec@1 63.281 (52.947)	Prec@5 83.594 (82.150)
Epoch: [85][10760/14090]	Time 0.740 (0.764)	Data 0.001 (0.001)	Loss 1.6516 (1.7906)	Prec@1 50.000 (52.946)	Prec@5 86.719 (82.151)
Epoch: [85][10770/14090]	Time 0.725 (0.764)	Data 0.001 (0.001)	Loss 2.0893 (1.7906)	Prec@1 48.438 (52.945)	Prec@5 78.906 (82.151)
Epoch: [85][10780/14090]	Time 0.771 (0.764)	Data 0.001 (0.001)	Loss 1.9125 (1.7906)	Prec@1 46.875 (52.943)	Prec@5 81.250 (82.150)
Epoch: [85][10790/14090]	Time 0.724 (0.764)	Data 0.001 (0.001)	Loss 1.8097 (1.7907)	Prec@1 53.125 (52.940)	Prec@5 82.812 (82.150)
Epoch: [85][10800/14090]	Time 0.724 (0.764)	Data 0.001 (0.001)	Loss 1.8338 (1.7906)	Prec@1 47.656 (52.938)	Prec@5 80.469 (82.151)
Epoch: [85][10810/14090]	Time 0.841 (0.764)	Data 0.001 (0.001)	Loss 1.9942 (1.7907)	Prec@1 47.656 (52.937)	Prec@5 78.125 (82.151)
Epoch: [85][10820/14090]	Time 0.746 (0.764)	Data 0.001 (0.001)	Loss 1.8542 (1.7907)	Prec@1 56.250 (52.938)	Prec@5 82.812 (82.150)
Epoch: [85][10830/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 1.9992 (1.7908)	Prec@1 52.344 (52.936)	Prec@5 81.250 (82.150)
Epoch: [85][10840/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 1.8782 (1.7908)	Prec@1 50.781 (52.936)	Prec@5 85.938 (82.151)
Epoch: [85][10850/14090]	Time 0.727 (0.764)	Data 0.001 (0.001)	Loss 1.9039 (1.7908)	Prec@1 54.688 (52.937)	Prec@5 80.469 (82.149)
Epoch: [85][10860/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 2.0158 (1.7909)	Prec@1 50.000 (52.936)	Prec@5 76.562 (82.148)
Epoch: [85][10870/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 1.8522 (1.7910)	Prec@1 54.688 (52.936)	Prec@5 74.219 (82.145)
Epoch: [85][10880/14090]	Time 0.840 (0.764)	Data 0.001 (0.001)	Loss 1.8244 (1.7910)	Prec@1 50.781 (52.934)	Prec@5 79.688 (82.146)
Epoch: [85][10890/14090]	Time 0.743 (0.764)	Data 0.001 (0.001)	Loss 1.8666 (1.7910)	Prec@1 53.125 (52.935)	Prec@5 79.688 (82.147)
Epoch: [85][10900/14090]	Time 0.761 (0.764)	Data 0.001 (0.001)	Loss 1.6220 (1.7910)	Prec@1 53.125 (52.933)	Prec@5 87.500 (82.146)
Epoch: [85][10910/14090]	Time 0.748 (0.764)	Data 0.001 (0.001)	Loss 1.7865 (1.7910)	Prec@1 51.562 (52.933)	Prec@5 82.812 (82.146)
Epoch: [85][10920/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 2.0586 (1.7911)	Prec@1 46.875 (52.931)	Prec@5 79.688 (82.145)
Epoch: [85][10930/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 1.7249 (1.7911)	Prec@1 52.344 (52.932)	Prec@5 82.812 (82.145)
Epoch: [85][10940/14090]	Time 0.766 (0.764)	Data 0.001 (0.001)	Loss 1.6361 (1.7910)	Prec@1 52.344 (52.932)	Prec@5 85.938 (82.146)
Epoch: [85][10950/14090]	Time 0.851 (0.764)	Data 0.001 (0.001)	Loss 1.8836 (1.7910)	Prec@1 50.781 (52.931)	Prec@5 81.250 (82.145)
Epoch: [85][10960/14090]	Time 0.730 (0.764)	Data 0.001 (0.001)	Loss 1.7966 (1.7910)	Prec@1 57.812 (52.930)	Prec@5 81.250 (82.144)
Epoch: [85][10970/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 1.7894 (1.7911)	Prec@1 58.594 (52.930)	Prec@5 82.812 (82.143)
Epoch: [85][10980/14090]	Time 0.771 (0.764)	Data 0.001 (0.001)	Loss 1.7647 (1.7911)	Prec@1 55.469 (52.931)	Prec@5 84.375 (82.143)
Epoch: [85][10990/14090]	Time 0.736 (0.764)	Data 0.001 (0.001)	Loss 1.7879 (1.7911)	Prec@1 50.000 (52.929)	Prec@5 82.031 (82.142)
Epoch: [85][11000/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 1.6248 (1.7911)	Prec@1 57.812 (52.930)	Prec@5 84.375 (82.142)
Epoch: [85][11010/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 1.7913 (1.7912)	Prec@1 57.031 (52.929)	Prec@5 82.031 (82.142)
Epoch: [85][11020/14090]	Time 0.897 (0.764)	Data 0.001 (0.001)	Loss 1.7271 (1.7912)	Prec@1 56.250 (52.930)	Prec@5 80.469 (82.142)
Epoch: [85][11030/14090]	Time 0.736 (0.764)	Data 0.001 (0.001)	Loss 1.6909 (1.7912)	Prec@1 56.250 (52.929)	Prec@5 87.500 (82.143)
Epoch: [85][11040/14090]	Time 0.735 (0.764)	Data 0.001 (0.001)	Loss 1.5736 (1.7912)	Prec@1 56.250 (52.930)	Prec@5 85.156 (82.143)
Epoch: [85][11050/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 1.6172 (1.7912)	Prec@1 58.594 (52.928)	Prec@5 80.469 (82.141)
Epoch: [85][11060/14090]	Time 0.758 (0.764)	Data 0.001 (0.001)	Loss 1.8247 (1.7913)	Prec@1 53.125 (52.927)	Prec@5 80.469 (82.140)
Epoch: [85][11070/14090]	Time 0.724 (0.764)	Data 0.001 (0.001)	Loss 1.7080 (1.7913)	Prec@1 53.906 (52.925)	Prec@5 82.812 (82.139)
Epoch: [85][11080/14090]	Time 0.726 (0.764)	Data 0.001 (0.001)	Loss 1.7878 (1.7913)	Prec@1 52.344 (52.925)	Prec@5 80.469 (82.139)
Epoch: [85][11090/14090]	Time 0.872 (0.764)	Data 0.001 (0.001)	Loss 1.9482 (1.7914)	Prec@1 48.438 (52.924)	Prec@5 80.469 (82.139)
Epoch: [85][11100/14090]	Time 0.764 (0.764)	Data 0.001 (0.001)	Loss 1.8727 (1.7914)	Prec@1 51.562 (52.923)	Prec@5 78.906 (82.137)
Epoch: [85][11110/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 1.5782 (1.7914)	Prec@1 58.594 (52.923)	Prec@5 86.719 (82.138)
Epoch: [85][11120/14090]	Time 0.774 (0.764)	Data 0.001 (0.001)	Loss 1.6415 (1.7915)	Prec@1 60.938 (52.922)	Prec@5 82.812 (82.136)
Epoch: [85][11130/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 1.9553 (1.7915)	Prec@1 50.781 (52.922)	Prec@5 78.906 (82.136)
Epoch: [85][11140/14090]	Time 0.729 (0.764)	Data 0.001 (0.001)	Loss 2.0142 (1.7916)	Prec@1 45.312 (52.921)	Prec@5 77.344 (82.134)
Epoch: [85][11150/14090]	Time 0.775 (0.764)	Data 0.002 (0.001)	Loss 1.7110 (1.7915)	Prec@1 55.469 (52.924)	Prec@5 82.031 (82.136)
Epoch: [85][11160/14090]	Time 0.840 (0.764)	Data 0.001 (0.001)	Loss 2.0094 (1.7915)	Prec@1 53.906 (52.924)	Prec@5 78.906 (82.134)
Epoch: [85][11170/14090]	Time 0.743 (0.764)	Data 0.001 (0.001)	Loss 1.5717 (1.7915)	Prec@1 57.031 (52.924)	Prec@5 86.719 (82.135)
Epoch: [85][11180/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 1.7439 (1.7916)	Prec@1 54.688 (52.923)	Prec@5 82.812 (82.134)
Epoch: [85][11190/14090]	Time 0.766 (0.764)	Data 0.001 (0.001)	Loss 1.4996 (1.7916)	Prec@1 61.719 (52.922)	Prec@5 85.938 (82.134)
Epoch: [85][11200/14090]	Time 0.765 (0.764)	Data 0.001 (0.001)	Loss 1.7380 (1.7916)	Prec@1 53.906 (52.922)	Prec@5 85.156 (82.134)
Epoch: [85][11210/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 1.7844 (1.7916)	Prec@1 52.344 (52.922)	Prec@5 83.594 (82.134)
Epoch: [85][11220/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 1.6333 (1.7915)	Prec@1 60.938 (52.924)	Prec@5 84.375 (82.135)
Epoch: [85][11230/14090]	Time 0.893 (0.764)	Data 0.001 (0.001)	Loss 1.8372 (1.7914)	Prec@1 50.000 (52.926)	Prec@5 80.469 (82.137)
Epoch: [85][11240/14090]	Time 0.728 (0.764)	Data 0.001 (0.001)	Loss 1.9765 (1.7914)	Prec@1 45.312 (52.927)	Prec@5 78.906 (82.138)
Epoch: [85][11250/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 1.8466 (1.7914)	Prec@1 50.000 (52.927)	Prec@5 82.031 (82.138)
Epoch: [85][11260/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 1.8718 (1.7915)	Prec@1 50.781 (52.924)	Prec@5 79.688 (82.136)
Epoch: [85][11270/14090]	Time 0.736 (0.764)	Data 0.001 (0.001)	Loss 2.0255 (1.7915)	Prec@1 50.000 (52.923)	Prec@5 78.906 (82.136)
Epoch: [85][11280/14090]	Time 0.740 (0.764)	Data 0.001 (0.001)	Loss 1.7466 (1.7915)	Prec@1 48.438 (52.921)	Prec@5 78.906 (82.135)
Epoch: [85][11290/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 1.6910 (1.7915)	Prec@1 54.688 (52.922)	Prec@5 85.156 (82.135)
Epoch: [85][11300/14090]	Time 0.874 (0.764)	Data 0.001 (0.001)	Loss 1.9160 (1.7916)	Prec@1 50.000 (52.923)	Prec@5 82.812 (82.134)
Epoch: [85][11310/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 1.7252 (1.7916)	Prec@1 56.250 (52.924)	Prec@5 85.938 (82.133)
Epoch: [85][11320/14090]	Time 0.724 (0.764)	Data 0.001 (0.001)	Loss 1.8905 (1.7916)	Prec@1 49.219 (52.924)	Prec@5 78.906 (82.133)
Epoch: [85][11330/14090]	Time 0.726 (0.764)	Data 0.001 (0.001)	Loss 1.6854 (1.7916)	Prec@1 54.688 (52.922)	Prec@5 85.156 (82.133)
Epoch: [85][11340/14090]	Time 0.746 (0.764)	Data 0.001 (0.001)	Loss 1.5356 (1.7916)	Prec@1 57.812 (52.924)	Prec@5 85.938 (82.134)
Epoch: [85][11350/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 1.6885 (1.7916)	Prec@1 50.781 (52.922)	Prec@5 86.719 (82.134)
Epoch: [85][11360/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 1.7049 (1.7917)	Prec@1 50.000 (52.922)	Prec@5 88.281 (82.134)
Epoch: [85][11370/14090]	Time 0.886 (0.764)	Data 0.001 (0.001)	Loss 1.8057 (1.7916)	Prec@1 51.562 (52.922)	Prec@5 79.688 (82.134)
Epoch: [85][11380/14090]	Time 0.765 (0.764)	Data 0.001 (0.001)	Loss 2.1934 (1.7916)	Prec@1 41.406 (52.922)	Prec@5 75.781 (82.134)
Epoch: [85][11390/14090]	Time 0.743 (0.764)	Data 0.001 (0.001)	Loss 2.1132 (1.7916)	Prec@1 46.094 (52.922)	Prec@5 73.438 (82.134)
Epoch: [85][11400/14090]	Time 0.746 (0.764)	Data 0.001 (0.001)	Loss 2.0542 (1.7916)	Prec@1 43.750 (52.922)	Prec@5 77.344 (82.133)
Epoch: [85][11410/14090]	Time 0.746 (0.764)	Data 0.001 (0.001)	Loss 1.5318 (1.7915)	Prec@1 58.594 (52.921)	Prec@5 83.594 (82.133)
Epoch: [85][11420/14090]	Time 0.763 (0.764)	Data 0.001 (0.001)	Loss 2.0044 (1.7916)	Prec@1 52.344 (52.921)	Prec@5 76.562 (82.133)
Epoch: [85][11430/14090]	Time 0.743 (0.764)	Data 0.001 (0.001)	Loss 1.7749 (1.7916)	Prec@1 55.469 (52.921)	Prec@5 76.562 (82.133)
Epoch: [85][11440/14090]	Time 0.858 (0.764)	Data 0.001 (0.001)	Loss 1.9379 (1.7916)	Prec@1 49.219 (52.920)	Prec@5 81.250 (82.132)
Epoch: [85][11450/14090]	Time 0.748 (0.764)	Data 0.001 (0.001)	Loss 1.6296 (1.7916)	Prec@1 60.156 (52.922)	Prec@5 84.375 (82.132)
Epoch: [85][11460/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 1.8516 (1.7916)	Prec@1 54.688 (52.922)	Prec@5 80.469 (82.131)
Epoch: [85][11470/14090]	Time 0.734 (0.764)	Data 0.001 (0.001)	Loss 1.7255 (1.7916)	Prec@1 55.469 (52.921)	Prec@5 85.156 (82.130)
Epoch: [85][11480/14090]	Time 0.720 (0.764)	Data 0.001 (0.001)	Loss 1.9179 (1.7916)	Prec@1 50.000 (52.922)	Prec@5 76.562 (82.131)
Epoch: [85][11490/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 1.8210 (1.7916)	Prec@1 55.469 (52.922)	Prec@5 80.469 (82.131)
Epoch: [85][11500/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 2.1521 (1.7916)	Prec@1 46.094 (52.921)	Prec@5 76.562 (82.132)
Epoch: [85][11510/14090]	Time 0.889 (0.764)	Data 0.001 (0.001)	Loss 1.7809 (1.7915)	Prec@1 56.250 (52.923)	Prec@5 80.469 (82.131)
Epoch: [85][11520/14090]	Time 0.728 (0.764)	Data 0.001 (0.001)	Loss 1.8227 (1.7916)	Prec@1 58.594 (52.923)	Prec@5 77.344 (82.131)
Epoch: [85][11530/14090]	Time 0.773 (0.764)	Data 0.001 (0.001)	Loss 1.9665 (1.7916)	Prec@1 56.250 (52.922)	Prec@5 79.688 (82.131)
Epoch: [85][11540/14090]	Time 0.759 (0.764)	Data 0.001 (0.001)	Loss 1.8059 (1.7916)	Prec@1 51.562 (52.922)	Prec@5 80.469 (82.131)
Epoch: [85][11550/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 1.6794 (1.7916)	Prec@1 59.375 (52.920)	Prec@5 82.812 (82.132)
Epoch: [85][11560/14090]	Time 0.748 (0.764)	Data 0.001 (0.001)	Loss 1.6907 (1.7916)	Prec@1 54.688 (52.919)	Prec@5 85.938 (82.133)
Epoch: [85][11570/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 1.7554 (1.7915)	Prec@1 51.562 (52.920)	Prec@5 82.031 (82.134)
Epoch: [85][11580/14090]	Time 0.867 (0.764)	Data 0.001 (0.001)	Loss 1.9200 (1.7916)	Prec@1 45.312 (52.918)	Prec@5 81.250 (82.133)
Epoch: [85][11590/14090]	Time 0.775 (0.764)	Data 0.001 (0.001)	Loss 1.8416 (1.7916)	Prec@1 50.781 (52.918)	Prec@5 81.250 (82.133)
Epoch: [85][11600/14090]	Time 0.764 (0.764)	Data 0.001 (0.001)	Loss 1.9897 (1.7916)	Prec@1 48.438 (52.918)	Prec@5 78.125 (82.133)
Epoch: [85][11610/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 1.9526 (1.7917)	Prec@1 51.562 (52.917)	Prec@5 81.250 (82.133)
Epoch: [85][11620/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 1.7019 (1.7917)	Prec@1 56.250 (52.918)	Prec@5 83.594 (82.133)
Epoch: [85][11630/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 1.9193 (1.7918)	Prec@1 51.562 (52.918)	Prec@5 80.469 (82.131)
Epoch: [85][11640/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 1.8455 (1.7918)	Prec@1 54.688 (52.918)	Prec@5 78.125 (82.130)
Epoch: [85][11650/14090]	Time 0.869 (0.764)	Data 0.001 (0.001)	Loss 1.9174 (1.7918)	Prec@1 46.094 (52.916)	Prec@5 82.031 (82.131)
Epoch: [85][11660/14090]	Time 0.720 (0.764)	Data 0.001 (0.001)	Loss 1.8979 (1.7918)	Prec@1 43.750 (52.916)	Prec@5 82.812 (82.131)
Epoch: [85][11670/14090]	Time 0.776 (0.764)	Data 0.001 (0.001)	Loss 1.8453 (1.7917)	Prec@1 51.562 (52.918)	Prec@5 84.375 (82.132)
Epoch: [85][11680/14090]	Time 0.750 (0.764)	Data 0.002 (0.001)	Loss 1.8183 (1.7917)	Prec@1 53.906 (52.918)	Prec@5 81.250 (82.132)
Epoch: [85][11690/14090]	Time 0.720 (0.764)	Data 0.001 (0.001)	Loss 1.8357 (1.7917)	Prec@1 53.125 (52.918)	Prec@5 82.812 (82.132)
Epoch: [85][11700/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 2.0507 (1.7918)	Prec@1 44.531 (52.915)	Prec@5 76.562 (82.129)
Epoch: [85][11710/14090]	Time 0.732 (0.764)	Data 0.001 (0.001)	Loss 1.9749 (1.7919)	Prec@1 50.000 (52.914)	Prec@5 81.250 (82.129)
Epoch: [85][11720/14090]	Time 0.838 (0.764)	Data 0.001 (0.001)	Loss 2.0010 (1.7919)	Prec@1 52.344 (52.914)	Prec@5 80.469 (82.129)
Epoch: [85][11730/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 2.0006 (1.7920)	Prec@1 47.656 (52.914)	Prec@5 80.469 (82.129)
Epoch: [85][11740/14090]	Time 0.765 (0.764)	Data 0.001 (0.001)	Loss 1.9399 (1.7920)	Prec@1 50.781 (52.911)	Prec@5 75.000 (82.129)
Epoch: [85][11750/14090]	Time 0.736 (0.764)	Data 0.001 (0.001)	Loss 2.0041 (1.7920)	Prec@1 48.438 (52.911)	Prec@5 79.688 (82.128)
Epoch: [85][11760/14090]	Time 0.746 (0.764)	Data 0.001 (0.001)	Loss 1.8768 (1.7920)	Prec@1 50.781 (52.911)	Prec@5 82.031 (82.127)
Epoch: [85][11770/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 1.8421 (1.7920)	Prec@1 55.469 (52.911)	Prec@5 78.906 (82.128)
Epoch: [85][11780/14090]	Time 0.735 (0.764)	Data 0.001 (0.001)	Loss 1.9650 (1.7920)	Prec@1 53.906 (52.913)	Prec@5 78.906 (82.128)
Epoch: [85][11790/14090]	Time 0.852 (0.764)	Data 0.001 (0.001)	Loss 1.7698 (1.7920)	Prec@1 59.375 (52.913)	Prec@5 81.250 (82.128)
Epoch: [85][11800/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 1.7410 (1.7920)	Prec@1 55.469 (52.914)	Prec@5 82.812 (82.129)
Epoch: [85][11810/14090]	Time 0.725 (0.764)	Data 0.001 (0.001)	Loss 1.9999 (1.7921)	Prec@1 47.656 (52.912)	Prec@5 78.906 (82.128)
Epoch: [85][11820/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 1.8355 (1.7920)	Prec@1 47.656 (52.913)	Prec@5 82.812 (82.128)
Epoch: [85][11830/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 2.0142 (1.7921)	Prec@1 46.875 (52.912)	Prec@5 75.781 (82.127)
Epoch: [85][11840/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 1.6589 (1.7921)	Prec@1 50.000 (52.912)	Prec@5 84.375 (82.128)
Epoch: [85][11850/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 1.7561 (1.7921)	Prec@1 58.594 (52.912)	Prec@5 82.031 (82.128)
Epoch: [85][11860/14090]	Time 0.863 (0.764)	Data 0.001 (0.001)	Loss 1.8490 (1.7921)	Prec@1 49.219 (52.911)	Prec@5 80.469 (82.128)
Epoch: [85][11870/14090]	Time 0.758 (0.764)	Data 0.001 (0.001)	Loss 1.8414 (1.7921)	Prec@1 50.781 (52.910)	Prec@5 79.688 (82.127)
Epoch: [85][11880/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 1.6548 (1.7922)	Prec@1 53.125 (52.908)	Prec@5 85.938 (82.126)
Epoch: [85][11890/14090]	Time 0.786 (0.764)	Data 0.001 (0.001)	Loss 1.7440 (1.7922)	Prec@1 51.562 (52.908)	Prec@5 87.500 (82.127)
Epoch: [85][11900/14090]	Time 0.759 (0.764)	Data 0.001 (0.001)	Loss 1.9311 (1.7922)	Prec@1 54.688 (52.909)	Prec@5 78.906 (82.127)
Epoch: [85][11910/14090]	Time 0.748 (0.764)	Data 0.001 (0.001)	Loss 1.7637 (1.7922)	Prec@1 53.125 (52.908)	Prec@5 83.594 (82.127)
Epoch: [85][11920/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 1.7713 (1.7922)	Prec@1 50.781 (52.906)	Prec@5 85.938 (82.127)
Epoch: [85][11930/14090]	Time 0.860 (0.764)	Data 0.001 (0.001)	Loss 1.7760 (1.7922)	Prec@1 53.125 (52.903)	Prec@5 79.688 (82.127)
Epoch: [85][11940/14090]	Time 0.726 (0.764)	Data 0.001 (0.001)	Loss 1.8013 (1.7922)	Prec@1 50.781 (52.902)	Prec@5 81.250 (82.127)
Epoch: [85][11950/14090]	Time 0.734 (0.764)	Data 0.001 (0.001)	Loss 1.9595 (1.7923)	Prec@1 47.656 (52.901)	Prec@5 78.906 (82.127)
Epoch: [85][11960/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 1.7840 (1.7923)	Prec@1 50.000 (52.899)	Prec@5 84.375 (82.126)
Epoch: [85][11970/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 1.8540 (1.7923)	Prec@1 57.812 (52.899)	Prec@5 78.906 (82.126)
Epoch: [85][11980/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 1.7550 (1.7923)	Prec@1 51.562 (52.898)	Prec@5 81.250 (82.126)
Epoch: [85][11990/14090]	Time 0.760 (0.764)	Data 0.001 (0.001)	Loss 1.7838 (1.7923)	Prec@1 53.125 (52.900)	Prec@5 79.688 (82.127)
Epoch: [85][12000/14090]	Time 0.829 (0.764)	Data 0.001 (0.001)	Loss 2.0012 (1.7923)	Prec@1 50.000 (52.898)	Prec@5 76.562 (82.126)
Epoch: [85][12010/14090]	Time 0.744 (0.764)	Data 0.001 (0.001)	Loss 1.6693 (1.7924)	Prec@1 52.344 (52.898)	Prec@5 84.375 (82.125)
Epoch: [85][12020/14090]	Time 0.769 (0.764)	Data 0.001 (0.001)	Loss 1.6311 (1.7923)	Prec@1 58.594 (52.898)	Prec@5 82.812 (82.125)
Epoch: [85][12030/14090]	Time 0.745 (0.764)	Data 0.001 (0.001)	Loss 1.8304 (1.7923)	Prec@1 52.344 (52.898)	Prec@5 83.594 (82.126)
Epoch: [85][12040/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 1.6010 (1.7924)	Prec@1 59.375 (52.898)	Prec@5 82.812 (82.125)
Epoch: [85][12050/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 1.7566 (1.7924)	Prec@1 51.562 (52.898)	Prec@5 84.375 (82.125)
Epoch: [85][12060/14090]	Time 0.766 (0.764)	Data 0.001 (0.001)	Loss 1.5582 (1.7923)	Prec@1 58.594 (52.899)	Prec@5 87.500 (82.126)
Epoch: [85][12070/14090]	Time 0.907 (0.764)	Data 0.001 (0.001)	Loss 1.8516 (1.7923)	Prec@1 47.656 (52.899)	Prec@5 81.250 (82.126)
Epoch: [85][12080/14090]	Time 0.725 (0.764)	Data 0.001 (0.001)	Loss 1.8261 (1.7923)	Prec@1 49.219 (52.898)	Prec@5 82.812 (82.126)
Epoch: [85][12090/14090]	Time 0.765 (0.764)	Data 0.001 (0.001)	Loss 2.0905 (1.7924)	Prec@1 42.188 (52.896)	Prec@5 75.000 (82.125)
Epoch: [85][12100/14090]	Time 0.736 (0.764)	Data 0.001 (0.001)	Loss 1.7620 (1.7924)	Prec@1 57.031 (52.896)	Prec@5 86.719 (82.126)
Epoch: [85][12110/14090]	Time 0.790 (0.764)	Data 0.001 (0.001)	Loss 1.7497 (1.7924)	Prec@1 47.656 (52.894)	Prec@5 88.281 (82.128)
Epoch: [85][12120/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 2.0388 (1.7925)	Prec@1 50.781 (52.895)	Prec@5 79.688 (82.128)
Epoch: [85][12130/14090]	Time 0.735 (0.764)	Data 0.001 (0.001)	Loss 1.6719 (1.7925)	Prec@1 56.250 (52.894)	Prec@5 85.156 (82.128)
Epoch: [85][12140/14090]	Time 0.872 (0.764)	Data 0.001 (0.001)	Loss 1.8492 (1.7925)	Prec@1 56.250 (52.894)	Prec@5 79.688 (82.127)
Epoch: [85][12150/14090]	Time 0.748 (0.764)	Data 0.001 (0.001)	Loss 1.8046 (1.7925)	Prec@1 57.031 (52.894)	Prec@5 80.469 (82.127)
Epoch: [85][12160/14090]	Time 0.734 (0.764)	Data 0.001 (0.001)	Loss 1.6274 (1.7925)	Prec@1 57.812 (52.894)	Prec@5 83.594 (82.128)
Epoch: [85][12170/14090]	Time 0.761 (0.764)	Data 0.001 (0.001)	Loss 1.7928 (1.7925)	Prec@1 49.219 (52.893)	Prec@5 81.250 (82.128)
Epoch: [85][12180/14090]	Time 0.744 (0.764)	Data 0.001 (0.001)	Loss 1.8187 (1.7925)	Prec@1 53.906 (52.892)	Prec@5 81.250 (82.129)
Epoch: [85][12190/14090]	Time 0.730 (0.764)	Data 0.001 (0.001)	Loss 1.9650 (1.7925)	Prec@1 46.875 (52.893)	Prec@5 75.781 (82.129)
Epoch: [85][12200/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 1.8288 (1.7925)	Prec@1 49.219 (52.892)	Prec@5 80.469 (82.128)
Epoch: [85][12210/14090]	Time 0.878 (0.764)	Data 0.001 (0.001)	Loss 1.8521 (1.7924)	Prec@1 53.906 (52.894)	Prec@5 83.594 (82.129)
Epoch: [85][12220/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 1.7114 (1.7925)	Prec@1 52.344 (52.894)	Prec@5 84.375 (82.128)
Epoch: [85][12230/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 1.7694 (1.7924)	Prec@1 53.906 (52.896)	Prec@5 85.156 (82.128)
Epoch: [85][12240/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 1.9313 (1.7924)	Prec@1 45.312 (52.895)	Prec@5 82.031 (82.128)
Epoch: [85][12250/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 1.7575 (1.7924)	Prec@1 55.469 (52.895)	Prec@5 85.938 (82.129)
Epoch: [85][12260/14090]	Time 0.734 (0.764)	Data 0.001 (0.001)	Loss 1.9021 (1.7925)	Prec@1 49.219 (52.896)	Prec@5 77.344 (82.128)
Epoch: [85][12270/14090]	Time 0.726 (0.764)	Data 0.001 (0.001)	Loss 1.8737 (1.7924)	Prec@1 50.781 (52.895)	Prec@5 83.594 (82.128)
Epoch: [85][12280/14090]	Time 0.880 (0.764)	Data 0.001 (0.001)	Loss 1.9377 (1.7925)	Prec@1 46.094 (52.894)	Prec@5 82.031 (82.127)
Epoch: [85][12290/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 1.9952 (1.7925)	Prec@1 46.094 (52.893)	Prec@5 79.688 (82.125)
Epoch: [85][12300/14090]	Time 0.746 (0.764)	Data 0.001 (0.001)	Loss 1.9529 (1.7925)	Prec@1 49.219 (52.894)	Prec@5 82.031 (82.126)
Epoch: [85][12310/14090]	Time 0.761 (0.764)	Data 0.001 (0.001)	Loss 1.6845 (1.7925)	Prec@1 55.469 (52.894)	Prec@5 82.812 (82.125)
Epoch: [85][12320/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 1.9948 (1.7926)	Prec@1 42.188 (52.893)	Prec@5 84.375 (82.125)
Epoch: [85][12330/14090]	Time 0.733 (0.764)	Data 0.001 (0.001)	Loss 1.7676 (1.7925)	Prec@1 51.562 (52.893)	Prec@5 85.938 (82.125)
Epoch: [85][12340/14090]	Time 0.739 (0.764)	Data 0.001 (0.001)	Loss 1.7384 (1.7925)	Prec@1 56.250 (52.892)	Prec@5 84.375 (82.125)
Epoch: [85][12350/14090]	Time 0.850 (0.764)	Data 0.001 (0.001)	Loss 1.8225 (1.7925)	Prec@1 46.875 (52.893)	Prec@5 80.469 (82.126)
Epoch: [85][12360/14090]	Time 0.734 (0.764)	Data 0.001 (0.001)	Loss 1.8939 (1.7925)	Prec@1 44.531 (52.892)	Prec@5 79.688 (82.125)
Epoch: [85][12370/14090]	Time 0.758 (0.764)	Data 0.001 (0.001)	Loss 2.1281 (1.7925)	Prec@1 49.219 (52.892)	Prec@5 78.906 (82.125)
Epoch: [85][12380/14090]	Time 0.758 (0.764)	Data 0.001 (0.001)	Loss 1.7592 (1.7926)	Prec@1 50.000 (52.892)	Prec@5 82.031 (82.123)
Epoch: [85][12390/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 1.8425 (1.7927)	Prec@1 49.219 (52.891)	Prec@5 83.594 (82.123)
Epoch: [85][12400/14090]	Time 0.735 (0.764)	Data 0.001 (0.001)	Loss 1.7315 (1.7926)	Prec@1 49.219 (52.890)	Prec@5 86.719 (82.124)
Epoch: [85][12410/14090]	Time 0.760 (0.764)	Data 0.001 (0.001)	Loss 1.7050 (1.7927)	Prec@1 52.344 (52.890)	Prec@5 85.156 (82.124)
Epoch: [85][12420/14090]	Time 0.853 (0.764)	Data 0.001 (0.001)	Loss 1.9403 (1.7927)	Prec@1 51.562 (52.890)	Prec@5 78.906 (82.126)
Epoch: [85][12430/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 1.5175 (1.7926)	Prec@1 60.938 (52.890)	Prec@5 89.062 (82.126)
Epoch: [85][12440/14090]	Time 0.767 (0.764)	Data 0.001 (0.001)	Loss 1.7551 (1.7926)	Prec@1 46.875 (52.890)	Prec@5 83.594 (82.127)
Epoch: [85][12450/14090]	Time 0.759 (0.764)	Data 0.001 (0.001)	Loss 1.7389 (1.7927)	Prec@1 56.250 (52.889)	Prec@5 84.375 (82.126)
Epoch: [85][12460/14090]	Time 0.801 (0.764)	Data 0.001 (0.001)	Loss 1.6239 (1.7927)	Prec@1 57.031 (52.889)	Prec@5 82.031 (82.125)
Epoch: [85][12470/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 1.9476 (1.7927)	Prec@1 46.875 (52.888)	Prec@5 81.250 (82.125)
Epoch: [85][12480/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 1.7174 (1.7927)	Prec@1 56.250 (52.889)	Prec@5 85.156 (82.125)
Epoch: [85][12490/14090]	Time 0.880 (0.764)	Data 0.001 (0.001)	Loss 1.8689 (1.7927)	Prec@1 50.000 (52.889)	Prec@5 79.688 (82.124)
Epoch: [85][12500/14090]	Time 0.777 (0.764)	Data 0.001 (0.001)	Loss 2.1368 (1.7927)	Prec@1 43.750 (52.889)	Prec@5 78.125 (82.123)
Epoch: [85][12510/14090]	Time 0.760 (0.764)	Data 0.001 (0.001)	Loss 1.6894 (1.7927)	Prec@1 55.469 (52.889)	Prec@5 85.156 (82.123)
Epoch: [85][12520/14090]	Time 0.732 (0.764)	Data 0.001 (0.001)	Loss 1.7213 (1.7927)	Prec@1 56.250 (52.890)	Prec@5 82.812 (82.123)
Epoch: [85][12530/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 1.7475 (1.7927)	Prec@1 55.469 (52.891)	Prec@5 80.469 (82.124)
Epoch: [85][12540/14090]	Time 0.744 (0.764)	Data 0.001 (0.001)	Loss 1.6878 (1.7928)	Prec@1 54.688 (52.889)	Prec@5 82.812 (82.123)
Epoch: [85][12550/14090]	Time 0.728 (0.764)	Data 0.001 (0.001)	Loss 1.7626 (1.7928)	Prec@1 50.781 (52.889)	Prec@5 78.906 (82.123)
Epoch: [85][12560/14090]	Time 0.861 (0.764)	Data 0.001 (0.001)	Loss 1.6247 (1.7928)	Prec@1 57.031 (52.889)	Prec@5 87.500 (82.123)
Epoch: [85][12570/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 1.8698 (1.7928)	Prec@1 51.562 (52.889)	Prec@5 77.344 (82.123)
Epoch: [85][12580/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 1.9445 (1.7929)	Prec@1 54.688 (52.887)	Prec@5 80.469 (82.122)
Epoch: [85][12590/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 1.5592 (1.7928)	Prec@1 57.812 (52.888)	Prec@5 88.281 (82.123)
Epoch: [85][12600/14090]	Time 0.732 (0.764)	Data 0.001 (0.001)	Loss 1.6737 (1.7928)	Prec@1 56.250 (52.887)	Prec@5 82.031 (82.122)
Epoch: [85][12610/14090]	Time 0.766 (0.764)	Data 0.001 (0.001)	Loss 1.8710 (1.7928)	Prec@1 55.469 (52.888)	Prec@5 78.125 (82.121)
Epoch: [85][12620/14090]	Time 0.740 (0.764)	Data 0.001 (0.001)	Loss 1.7031 (1.7929)	Prec@1 50.000 (52.886)	Prec@5 85.156 (82.121)
Epoch: [85][12630/14090]	Time 0.937 (0.764)	Data 0.001 (0.001)	Loss 1.9321 (1.7929)	Prec@1 46.875 (52.885)	Prec@5 82.812 (82.122)
Epoch: [85][12640/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 1.6349 (1.7928)	Prec@1 60.938 (52.887)	Prec@5 84.375 (82.123)
Epoch: [85][12650/14090]	Time 0.767 (0.764)	Data 0.001 (0.001)	Loss 1.8981 (1.7928)	Prec@1 56.250 (52.887)	Prec@5 81.250 (82.123)
Epoch: [85][12660/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 1.9894 (1.7929)	Prec@1 47.656 (52.885)	Prec@5 79.688 (82.123)
Epoch: [85][12670/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 1.6085 (1.7928)	Prec@1 53.125 (52.885)	Prec@5 85.156 (82.123)
Epoch: [85][12680/14090]	Time 0.723 (0.764)	Data 0.001 (0.001)	Loss 2.0368 (1.7929)	Prec@1 47.656 (52.885)	Prec@5 78.125 (82.123)
Epoch: [85][12690/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 1.6625 (1.7929)	Prec@1 56.250 (52.885)	Prec@5 85.156 (82.123)
Epoch: [85][12700/14090]	Time 1.020 (0.764)	Data 0.003 (0.001)	Loss 1.9789 (1.7929)	Prec@1 50.781 (52.884)	Prec@5 78.906 (82.123)
Epoch: [85][12710/14090]	Time 0.725 (0.764)	Data 0.003 (0.001)	Loss 2.0148 (1.7929)	Prec@1 48.438 (52.883)	Prec@5 82.031 (82.123)
Epoch: [85][12720/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 1.7540 (1.7929)	Prec@1 53.125 (52.884)	Prec@5 82.031 (82.123)
Epoch: [85][12730/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 1.8411 (1.7929)	Prec@1 46.094 (52.883)	Prec@5 83.594 (82.123)
Epoch: [85][12740/14090]	Time 0.728 (0.764)	Data 0.001 (0.001)	Loss 1.7304 (1.7930)	Prec@1 56.250 (52.884)	Prec@5 82.812 (82.121)
Epoch: [85][12750/14090]	Time 0.753 (0.764)	Data 0.001 (0.001)	Loss 1.9276 (1.7930)	Prec@1 45.312 (52.883)	Prec@5 82.812 (82.122)
Epoch: [85][12760/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 1.7123 (1.7930)	Prec@1 53.125 (52.883)	Prec@5 85.156 (82.121)
Epoch: [85][12770/14090]	Time 0.906 (0.764)	Data 0.001 (0.001)	Loss 1.7365 (1.7930)	Prec@1 53.125 (52.883)	Prec@5 86.719 (82.121)
Epoch: [85][12780/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 2.0572 (1.7930)	Prec@1 46.094 (52.882)	Prec@5 82.812 (82.121)
Epoch: [85][12790/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 1.8808 (1.7930)	Prec@1 43.750 (52.880)	Prec@5 81.250 (82.121)
Epoch: [85][12800/14090]	Time 0.733 (0.764)	Data 0.001 (0.001)	Loss 1.9139 (1.7930)	Prec@1 50.781 (52.881)	Prec@5 79.688 (82.121)
Epoch: [85][12810/14090]	Time 0.740 (0.764)	Data 0.001 (0.001)	Loss 1.7838 (1.7930)	Prec@1 50.000 (52.880)	Prec@5 82.031 (82.121)
Epoch: [85][12820/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 1.8873 (1.7931)	Prec@1 46.094 (52.879)	Prec@5 84.375 (82.120)
Epoch: [85][12830/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 1.5541 (1.7930)	Prec@1 57.812 (52.879)	Prec@5 85.156 (82.120)
Epoch: [85][12840/14090]	Time 0.849 (0.764)	Data 0.001 (0.001)	Loss 1.6427 (1.7931)	Prec@1 57.031 (52.878)	Prec@5 85.156 (82.120)
Epoch: [85][12850/14090]	Time 0.740 (0.764)	Data 0.001 (0.001)	Loss 2.1014 (1.7931)	Prec@1 52.344 (52.878)	Prec@5 75.781 (82.120)
Epoch: [85][12860/14090]	Time 0.782 (0.764)	Data 0.001 (0.001)	Loss 1.6876 (1.7931)	Prec@1 57.031 (52.878)	Prec@5 85.938 (82.120)
Epoch: [85][12870/14090]	Time 0.758 (0.764)	Data 0.001 (0.001)	Loss 2.0689 (1.7932)	Prec@1 49.219 (52.878)	Prec@5 78.125 (82.120)
Epoch: [85][12880/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 1.9558 (1.7932)	Prec@1 46.875 (52.877)	Prec@5 80.469 (82.120)
Epoch: [85][12890/14090]	Time 0.759 (0.764)	Data 0.001 (0.001)	Loss 1.8962 (1.7932)	Prec@1 47.656 (52.876)	Prec@5 82.812 (82.120)
Epoch: [85][12900/14090]	Time 0.728 (0.764)	Data 0.001 (0.001)	Loss 1.6562 (1.7932)	Prec@1 54.688 (52.877)	Prec@5 84.375 (82.119)
Epoch: [85][12910/14090]	Time 0.890 (0.764)	Data 0.001 (0.001)	Loss 1.7429 (1.7932)	Prec@1 47.656 (52.876)	Prec@5 82.812 (82.120)
Epoch: [85][12920/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 2.1522 (1.7932)	Prec@1 40.625 (52.875)	Prec@5 76.562 (82.120)
Epoch: [85][12930/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 1.7944 (1.7932)	Prec@1 54.688 (52.873)	Prec@5 79.688 (82.120)
Epoch: [85][12940/14090]	Time 0.744 (0.764)	Data 0.001 (0.001)	Loss 1.9127 (1.7932)	Prec@1 52.344 (52.872)	Prec@5 78.125 (82.120)
Epoch: [85][12950/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 1.6629 (1.7932)	Prec@1 55.469 (52.873)	Prec@5 82.812 (82.121)
Epoch: [85][12960/14090]	Time 0.760 (0.764)	Data 0.001 (0.001)	Loss 1.7213 (1.7932)	Prec@1 50.781 (52.873)	Prec@5 84.375 (82.121)
Epoch: [85][12970/14090]	Time 0.762 (0.764)	Data 0.001 (0.001)	Loss 1.6887 (1.7931)	Prec@1 46.875 (52.874)	Prec@5 85.156 (82.121)
Epoch: [85][12980/14090]	Time 0.906 (0.764)	Data 0.001 (0.001)	Loss 2.0550 (1.7932)	Prec@1 51.562 (52.873)	Prec@5 77.344 (82.120)
Epoch: [85][12990/14090]	Time 0.772 (0.764)	Data 0.001 (0.001)	Loss 1.5872 (1.7932)	Prec@1 54.688 (52.873)	Prec@5 85.938 (82.120)
Epoch: [85][13000/14090]	Time 0.743 (0.764)	Data 0.001 (0.001)	Loss 1.9601 (1.7932)	Prec@1 49.219 (52.873)	Prec@5 80.469 (82.120)
Epoch: [85][13010/14090]	Time 0.736 (0.764)	Data 0.001 (0.001)	Loss 1.7891 (1.7932)	Prec@1 50.000 (52.873)	Prec@5 83.594 (82.120)
Epoch: [85][13020/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 1.6865 (1.7931)	Prec@1 60.156 (52.874)	Prec@5 85.156 (82.121)
Epoch: [85][13030/14090]	Time 0.727 (0.764)	Data 0.001 (0.001)	Loss 2.0162 (1.7931)	Prec@1 45.312 (52.874)	Prec@5 78.125 (82.120)
Epoch: [85][13040/14090]	Time 0.736 (0.764)	Data 0.001 (0.001)	Loss 1.9073 (1.7931)	Prec@1 55.469 (52.875)	Prec@5 76.562 (82.121)
Epoch: [85][13050/14090]	Time 0.843 (0.764)	Data 0.001 (0.001)	Loss 1.8619 (1.7931)	Prec@1 53.125 (52.875)	Prec@5 76.562 (82.120)
Epoch: [85][13060/14090]	Time 0.759 (0.764)	Data 0.001 (0.001)	Loss 2.0609 (1.7932)	Prec@1 53.906 (52.874)	Prec@5 78.906 (82.118)
Epoch: [85][13070/14090]	Time 0.725 (0.764)	Data 0.001 (0.001)	Loss 1.6114 (1.7932)	Prec@1 53.906 (52.875)	Prec@5 89.844 (82.120)
Epoch: [85][13080/14090]	Time 0.778 (0.764)	Data 0.001 (0.001)	Loss 1.5916 (1.7931)	Prec@1 56.250 (52.875)	Prec@5 84.375 (82.122)
Epoch: [85][13090/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 1.9426 (1.7931)	Prec@1 49.219 (52.876)	Prec@5 82.031 (82.123)
Epoch: [85][13100/14090]	Time 0.732 (0.764)	Data 0.001 (0.001)	Loss 1.7304 (1.7931)	Prec@1 51.562 (52.874)	Prec@5 81.250 (82.122)
Epoch: [85][13110/14090]	Time 0.769 (0.764)	Data 0.001 (0.001)	Loss 2.0316 (1.7931)	Prec@1 50.000 (52.874)	Prec@5 80.469 (82.122)
Epoch: [85][13120/14090]	Time 0.837 (0.764)	Data 0.002 (0.001)	Loss 1.6859 (1.7931)	Prec@1 57.031 (52.875)	Prec@5 82.812 (82.122)
Epoch: [85][13130/14090]	Time 0.740 (0.764)	Data 0.001 (0.001)	Loss 1.4553 (1.7931)	Prec@1 60.156 (52.875)	Prec@5 90.625 (82.123)
Epoch: [85][13140/14090]	Time 0.724 (0.764)	Data 0.001 (0.001)	Loss 1.6544 (1.7931)	Prec@1 54.688 (52.877)	Prec@5 85.938 (82.124)
Epoch: [85][13150/14090]	Time 0.761 (0.764)	Data 0.001 (0.001)	Loss 2.0046 (1.7931)	Prec@1 49.219 (52.878)	Prec@5 73.438 (82.124)
Epoch: [85][13160/14090]	Time 0.727 (0.764)	Data 0.001 (0.001)	Loss 1.7610 (1.7930)	Prec@1 53.906 (52.878)	Prec@5 82.031 (82.124)
Epoch: [85][13170/14090]	Time 0.765 (0.764)	Data 0.001 (0.001)	Loss 1.9611 (1.7931)	Prec@1 52.344 (52.878)	Prec@5 75.781 (82.122)
Epoch: [85][13180/14090]	Time 0.725 (0.764)	Data 0.001 (0.001)	Loss 1.7204 (1.7932)	Prec@1 59.375 (52.876)	Prec@5 83.594 (82.121)
Epoch: [85][13190/14090]	Time 0.886 (0.764)	Data 0.001 (0.001)	Loss 1.9650 (1.7932)	Prec@1 48.438 (52.875)	Prec@5 82.031 (82.120)
Epoch: [85][13200/14090]	Time 0.730 (0.764)	Data 0.001 (0.001)	Loss 1.8288 (1.7932)	Prec@1 50.781 (52.875)	Prec@5 82.812 (82.119)
Epoch: [85][13210/14090]	Time 0.736 (0.764)	Data 0.001 (0.001)	Loss 1.8531 (1.7933)	Prec@1 50.000 (52.874)	Prec@5 82.031 (82.118)
Epoch: [85][13220/14090]	Time 0.740 (0.764)	Data 0.001 (0.001)	Loss 1.8453 (1.7933)	Prec@1 50.000 (52.874)	Prec@5 78.125 (82.117)
Epoch: [85][13230/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 1.6031 (1.7933)	Prec@1 55.469 (52.874)	Prec@5 87.500 (82.118)
Epoch: [85][13240/14090]	Time 0.761 (0.764)	Data 0.001 (0.001)	Loss 1.9498 (1.7934)	Prec@1 54.688 (52.874)	Prec@5 76.562 (82.117)
Epoch: [85][13250/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.0153 (1.7934)	Prec@1 50.000 (52.873)	Prec@5 78.906 (82.116)
Epoch: [85][13260/14090]	Time 0.849 (0.764)	Data 0.001 (0.001)	Loss 1.7753 (1.7934)	Prec@1 53.906 (52.873)	Prec@5 82.031 (82.116)
Epoch: [85][13270/14090]	Time 0.724 (0.764)	Data 0.001 (0.001)	Loss 2.1040 (1.7934)	Prec@1 43.750 (52.872)	Prec@5 75.000 (82.115)
Epoch: [85][13280/14090]	Time 0.724 (0.764)	Data 0.002 (0.001)	Loss 1.7170 (1.7934)	Prec@1 54.688 (52.873)	Prec@5 84.375 (82.117)
Epoch: [85][13290/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 1.6879 (1.7934)	Prec@1 54.688 (52.871)	Prec@5 84.375 (82.117)
Epoch: [85][13300/14090]	Time 0.736 (0.764)	Data 0.001 (0.001)	Loss 1.8635 (1.7934)	Prec@1 51.562 (52.871)	Prec@5 81.250 (82.116)
Epoch: [85][13310/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 1.8172 (1.7934)	Prec@1 55.469 (52.870)	Prec@5 82.812 (82.116)
Epoch: [85][13320/14090]	Time 0.757 (0.764)	Data 0.001 (0.001)	Loss 1.8414 (1.7934)	Prec@1 50.781 (52.871)	Prec@5 78.906 (82.116)
Epoch: [85][13330/14090]	Time 0.860 (0.764)	Data 0.001 (0.001)	Loss 1.9108 (1.7934)	Prec@1 54.688 (52.871)	Prec@5 79.688 (82.116)
Epoch: [85][13340/14090]	Time 0.761 (0.764)	Data 0.001 (0.001)	Loss 1.9304 (1.7935)	Prec@1 47.656 (52.870)	Prec@5 81.250 (82.116)
Epoch: [85][13350/14090]	Time 0.749 (0.764)	Data 0.001 (0.001)	Loss 1.6519 (1.7935)	Prec@1 59.375 (52.870)	Prec@5 82.812 (82.115)
Epoch: [85][13360/14090]	Time 0.730 (0.764)	Data 0.001 (0.001)	Loss 2.1170 (1.7936)	Prec@1 43.750 (52.867)	Prec@5 76.562 (82.114)
Epoch: [85][13370/14090]	Time 0.735 (0.764)	Data 0.001 (0.001)	Loss 1.8685 (1.7937)	Prec@1 48.438 (52.865)	Prec@5 82.031 (82.112)
Epoch: [85][13380/14090]	Time 0.725 (0.764)	Data 0.001 (0.001)	Loss 1.7244 (1.7937)	Prec@1 53.125 (52.864)	Prec@5 82.812 (82.112)
Epoch: [85][13390/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 1.8723 (1.7937)	Prec@1 48.438 (52.862)	Prec@5 78.906 (82.112)
Epoch: [85][13400/14090]	Time 0.846 (0.764)	Data 0.001 (0.001)	Loss 1.6848 (1.7937)	Prec@1 50.781 (52.862)	Prec@5 83.594 (82.113)
Epoch: [85][13410/14090]	Time 0.750 (0.764)	Data 0.001 (0.001)	Loss 1.7539 (1.7937)	Prec@1 53.906 (52.862)	Prec@5 80.469 (82.113)
Epoch: [85][13420/14090]	Time 0.737 (0.764)	Data 0.001 (0.001)	Loss 2.0859 (1.7937)	Prec@1 45.312 (52.862)	Prec@5 75.781 (82.113)
Epoch: [85][13430/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 1.6820 (1.7937)	Prec@1 48.438 (52.861)	Prec@5 83.594 (82.113)
Epoch: [85][13440/14090]	Time 0.756 (0.764)	Data 0.001 (0.001)	Loss 1.7961 (1.7937)	Prec@1 50.781 (52.861)	Prec@5 82.812 (82.113)
Epoch: [85][13450/14090]	Time 0.752 (0.764)	Data 0.001 (0.001)	Loss 1.9166 (1.7937)	Prec@1 50.000 (52.862)	Prec@5 78.125 (82.114)
Epoch: [85][13460/14090]	Time 0.785 (0.764)	Data 0.001 (0.001)	Loss 1.9286 (1.7937)	Prec@1 51.562 (52.861)	Prec@5 82.812 (82.116)
Epoch: [85][13470/14090]	Time 0.872 (0.764)	Data 0.001 (0.001)	Loss 1.8842 (1.7937)	Prec@1 46.875 (52.861)	Prec@5 78.906 (82.115)
Epoch: [85][13480/14090]	Time 0.726 (0.764)	Data 0.001 (0.001)	Loss 1.7084 (1.7937)	Prec@1 60.156 (52.861)	Prec@5 85.156 (82.115)
Epoch: [85][13490/14090]	Time 0.748 (0.764)	Data 0.001 (0.001)	Loss 1.5880 (1.7937)	Prec@1 53.125 (52.862)	Prec@5 85.938 (82.115)
Epoch: [85][13500/14090]	Time 0.729 (0.764)	Data 0.001 (0.001)	Loss 1.8737 (1.7937)	Prec@1 49.219 (52.861)	Prec@5 78.906 (82.113)
Epoch: [85][13510/14090]	Time 0.738 (0.764)	Data 0.001 (0.001)	Loss 1.6337 (1.7937)	Prec@1 60.938 (52.861)	Prec@5 85.938 (82.113)
Epoch: [85][13520/14090]	Time 0.758 (0.764)	Data 0.001 (0.001)	Loss 1.7006 (1.7938)	Prec@1 53.906 (52.861)	Prec@5 82.812 (82.113)
Epoch: [85][13530/14090]	Time 0.773 (0.764)	Data 0.001 (0.001)	Loss 1.8752 (1.7938)	Prec@1 51.562 (52.860)	Prec@5 78.125 (82.113)
Epoch: [85][13540/14090]	Time 0.881 (0.764)	Data 0.001 (0.001)	Loss 1.7323 (1.7938)	Prec@1 53.125 (52.860)	Prec@5 84.375 (82.112)
Epoch: [85][13550/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 1.7813 (1.7938)	Prec@1 55.469 (52.861)	Prec@5 79.688 (82.112)
Epoch: [85][13560/14090]	Time 0.735 (0.764)	Data 0.001 (0.001)	Loss 1.9439 (1.7937)	Prec@1 52.344 (52.863)	Prec@5 78.906 (82.112)
Epoch: [85][13570/14090]	Time 0.729 (0.764)	Data 0.001 (0.001)	Loss 1.6337 (1.7937)	Prec@1 57.812 (52.863)	Prec@5 84.375 (82.112)
Epoch: [85][13580/14090]	Time 0.748 (0.764)	Data 0.001 (0.001)	Loss 1.8353 (1.7937)	Prec@1 53.125 (52.863)	Prec@5 82.031 (82.113)
Epoch: [85][13590/14090]	Time 0.760 (0.764)	Data 0.001 (0.001)	Loss 1.8121 (1.7938)	Prec@1 55.469 (52.861)	Prec@5 84.375 (82.113)
Epoch: [85][13600/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 2.0528 (1.7938)	Prec@1 52.344 (52.861)	Prec@5 75.000 (82.113)
Epoch: [85][13610/14090]	Time 0.986 (0.764)	Data 0.001 (0.001)	Loss 1.6238 (1.7938)	Prec@1 56.250 (52.860)	Prec@5 85.156 (82.114)
Epoch: [85][13620/14090]	Time 0.736 (0.764)	Data 0.001 (0.001)	Loss 1.9932 (1.7938)	Prec@1 47.656 (52.858)	Prec@5 78.125 (82.114)
Epoch: [85][13630/14090]	Time 0.740 (0.764)	Data 0.001 (0.001)	Loss 1.9105 (1.7938)	Prec@1 57.812 (52.859)	Prec@5 75.781 (82.113)
Epoch: [85][13640/14090]	Time 0.740 (0.764)	Data 0.001 (0.001)	Loss 1.7988 (1.7938)	Prec@1 52.344 (52.859)	Prec@5 82.031 (82.113)
Epoch: [85][13650/14090]	Time 0.751 (0.764)	Data 0.001 (0.001)	Loss 1.7797 (1.7939)	Prec@1 52.344 (52.857)	Prec@5 83.594 (82.112)
Epoch: [85][13660/14090]	Time 0.767 (0.764)	Data 0.002 (0.001)	Loss 1.6282 (1.7939)	Prec@1 53.906 (52.855)	Prec@5 86.719 (82.113)
Epoch: [85][13670/14090]	Time 0.723 (0.764)	Data 0.001 (0.001)	Loss 1.6694 (1.7939)	Prec@1 59.375 (52.854)	Prec@5 82.031 (82.112)
Epoch: [85][13680/14090]	Time 0.861 (0.764)	Data 0.001 (0.001)	Loss 1.7124 (1.7940)	Prec@1 53.125 (52.854)	Prec@5 85.156 (82.112)
Epoch: [85][13690/14090]	Time 0.721 (0.764)	Data 0.001 (0.001)	Loss 1.5771 (1.7940)	Prec@1 54.688 (52.853)	Prec@5 88.281 (82.112)
Epoch: [85][13700/14090]	Time 0.779 (0.764)	Data 0.001 (0.001)	Loss 1.5884 (1.7939)	Prec@1 53.906 (52.854)	Prec@5 88.281 (82.114)
Epoch: [85][13710/14090]	Time 0.766 (0.764)	Data 0.001 (0.001)	Loss 2.0153 (1.7940)	Prec@1 46.094 (52.852)	Prec@5 77.344 (82.113)
Epoch: [85][13720/14090]	Time 0.785 (0.764)	Data 0.001 (0.001)	Loss 1.7588 (1.7939)	Prec@1 53.906 (52.854)	Prec@5 85.938 (82.115)
Epoch: [85][13730/14090]	Time 0.733 (0.764)	Data 0.001 (0.001)	Loss 1.6477 (1.7939)	Prec@1 53.125 (52.852)	Prec@5 84.375 (82.115)
Epoch: [85][13740/14090]	Time 0.730 (0.764)	Data 0.001 (0.001)	Loss 1.9093 (1.7940)	Prec@1 52.344 (52.851)	Prec@5 83.594 (82.114)
Epoch: [85][13750/14090]	Time 0.879 (0.764)	Data 0.001 (0.001)	Loss 1.7105 (1.7940)	Prec@1 56.250 (52.852)	Prec@5 82.031 (82.114)
Epoch: [85][13760/14090]	Time 0.727 (0.764)	Data 0.001 (0.001)	Loss 1.8486 (1.7940)	Prec@1 50.781 (52.851)	Prec@5 77.344 (82.113)
Epoch: [85][13770/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 1.9456 (1.7940)	Prec@1 46.875 (52.851)	Prec@5 78.125 (82.113)
Epoch: [85][13780/14090]	Time 0.779 (0.764)	Data 0.001 (0.001)	Loss 1.8419 (1.7940)	Prec@1 56.250 (52.850)	Prec@5 82.031 (82.113)
Epoch: [85][13790/14090]	Time 0.736 (0.764)	Data 0.001 (0.001)	Loss 1.6571 (1.7940)	Prec@1 56.250 (52.849)	Prec@5 80.469 (82.113)
Epoch: [85][13800/14090]	Time 0.758 (0.764)	Data 0.001 (0.001)	Loss 1.8896 (1.7940)	Prec@1 50.781 (52.849)	Prec@5 79.688 (82.113)
Epoch: [85][13810/14090]	Time 0.754 (0.764)	Data 0.001 (0.001)	Loss 1.7164 (1.7939)	Prec@1 52.344 (52.850)	Prec@5 88.281 (82.114)
Epoch: [85][13820/14090]	Time 0.875 (0.764)	Data 0.001 (0.001)	Loss 1.8805 (1.7940)	Prec@1 53.906 (52.849)	Prec@5 78.906 (82.113)
Epoch: [85][13830/14090]	Time 0.725 (0.764)	Data 0.001 (0.001)	Loss 1.8259 (1.7941)	Prec@1 53.906 (52.847)	Prec@5 82.031 (82.112)
Epoch: [85][13840/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 1.7896 (1.7941)	Prec@1 57.812 (52.845)	Prec@5 81.250 (82.111)
Epoch: [85][13850/14090]	Time 0.761 (0.764)	Data 0.001 (0.001)	Loss 1.8201 (1.7941)	Prec@1 57.812 (52.847)	Prec@5 82.031 (82.111)
Epoch: [85][13860/14090]	Time 0.779 (0.764)	Data 0.001 (0.001)	Loss 1.6591 (1.7941)	Prec@1 55.469 (52.847)	Prec@5 85.156 (82.111)
Epoch: [85][13870/14090]	Time 0.755 (0.764)	Data 0.001 (0.001)	Loss 1.9703 (1.7941)	Prec@1 53.125 (52.847)	Prec@5 82.031 (82.112)
Epoch: [85][13880/14090]	Time 0.726 (0.764)	Data 0.001 (0.001)	Loss 1.8193 (1.7941)	Prec@1 56.250 (52.844)	Prec@5 81.250 (82.112)
Epoch: [85][13890/14090]	Time 0.852 (0.764)	Data 0.001 (0.001)	Loss 1.7577 (1.7941)	Prec@1 57.812 (52.844)	Prec@5 78.906 (82.112)
Epoch: [85][13900/14090]	Time 0.743 (0.764)	Data 0.001 (0.001)	Loss 1.8741 (1.7941)	Prec@1 53.906 (52.843)	Prec@5 76.562 (82.110)
Epoch: [85][13910/14090]	Time 0.733 (0.764)	Data 0.001 (0.001)	Loss 1.8452 (1.7942)	Prec@1 50.000 (52.843)	Prec@5 82.031 (82.109)
Epoch: [85][13920/14090]	Time 0.778 (0.764)	Data 0.001 (0.001)	Loss 1.7660 (1.7941)	Prec@1 50.781 (52.842)	Prec@5 83.594 (82.109)
Epoch: [85][13930/14090]	Time 0.731 (0.764)	Data 0.001 (0.001)	Loss 1.8005 (1.7942)	Prec@1 55.469 (52.843)	Prec@5 80.469 (82.109)
Epoch: [85][13940/14090]	Time 0.727 (0.764)	Data 0.001 (0.001)	Loss 1.9835 (1.7943)	Prec@1 50.781 (52.841)	Prec@5 77.344 (82.107)
Epoch: [85][13950/14090]	Time 0.739 (0.764)	Data 0.001 (0.001)	Loss 1.6140 (1.7942)	Prec@1 60.156 (52.841)	Prec@5 83.594 (82.107)
Epoch: [85][13960/14090]	Time 0.839 (0.764)	Data 0.001 (0.001)	Loss 1.4958 (1.7942)	Prec@1 56.250 (52.841)	Prec@5 85.938 (82.108)
Epoch: [85][13970/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 1.5791 (1.7942)	Prec@1 58.594 (52.842)	Prec@5 90.625 (82.108)
Epoch: [85][13980/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 1.8324 (1.7942)	Prec@1 51.562 (52.842)	Prec@5 80.469 (82.108)
Epoch: [85][13990/14090]	Time 0.748 (0.764)	Data 0.001 (0.001)	Loss 2.0333 (1.7942)	Prec@1 50.000 (52.842)	Prec@5 76.562 (82.108)
Epoch: [85][14000/14090]	Time 0.758 (0.764)	Data 0.001 (0.001)	Loss 1.6686 (1.7942)	Prec@1 52.344 (52.841)	Prec@5 83.594 (82.107)
Epoch: [85][14010/14090]	Time 0.741 (0.764)	Data 0.001 (0.001)	Loss 1.5468 (1.7940)	Prec@1 55.469 (52.844)	Prec@5 85.938 (82.109)
Epoch: [85][14020/14090]	Time 0.743 (0.764)	Data 0.001 (0.001)	Loss 1.8416 (1.7940)	Prec@1 50.000 (52.844)	Prec@5 81.250 (82.111)
Epoch: [85][14030/14090]	Time 0.850 (0.764)	Data 0.001 (0.001)	Loss 1.6364 (1.7940)	Prec@1 53.906 (52.843)	Prec@5 85.156 (82.110)
Epoch: [85][14040/14090]	Time 0.747 (0.764)	Data 0.001 (0.001)	Loss 1.7182 (1.7941)	Prec@1 54.688 (52.842)	Prec@5 85.156 (82.110)
Epoch: [85][14050/14090]	Time 0.734 (0.764)	Data 0.001 (0.001)	Loss 1.4693 (1.7940)	Prec@1 60.156 (52.844)	Prec@5 86.719 (82.111)
Epoch: [85][14060/14090]	Time 0.742 (0.764)	Data 0.001 (0.001)	Loss 1.8459 (1.7940)	Prec@1 61.719 (52.844)	Prec@5 79.688 (82.110)
Epoch: [85][14070/14090]	Time 0.778 (0.764)	Data 0.001 (0.001)	Loss 1.8346 (1.7940)	Prec@1 49.219 (52.844)	Prec@5 81.250 (82.111)
Epoch: [85][14080/14090]	Time 0.749 (0.764)	Data 0.000 (0.001)	Loss 1.7989 (1.7940)	Prec@1 50.781 (52.842)	Prec@5 84.375 (82.111)
Test: [0/286]	Time 4.440 (4.440)	Loss 1.2721 (1.2721)	Prec@1 56.250 (56.250)	Prec@5 95.312 (95.312)
Test: [10/286]	Time 0.239 (0.745)	Loss 1.5359 (1.7153)	Prec@1 62.500 (55.540)	Prec@5 89.844 (85.511)
Test: [20/286]	Time 0.318 (0.581)	Loss 1.3542 (1.6708)	Prec@1 64.844 (55.394)	Prec@5 92.188 (86.384)
Test: [30/286]	Time 0.232 (0.513)	Loss 1.8611 (1.6201)	Prec@1 52.344 (57.233)	Prec@5 80.469 (86.265)
Test: [40/286]	Time 1.418 (0.508)	Loss 1.6516 (1.6349)	Prec@1 53.906 (56.860)	Prec@5 87.500 (86.376)
Test: [50/286]	Time 0.260 (0.484)	Loss 0.5341 (1.6351)	Prec@1 90.625 (56.572)	Prec@5 94.531 (86.489)
Test: [60/286]	Time 0.253 (0.468)	Loss 2.6627 (1.6728)	Prec@1 33.594 (55.763)	Prec@5 69.531 (85.515)
Test: [70/286]	Time 0.342 (0.458)	Loss 1.1666 (1.6617)	Prec@1 73.438 (55.865)	Prec@5 92.969 (85.761)
Test: [80/286]	Time 1.415 (0.461)	Loss 1.9217 (1.7035)	Prec@1 46.875 (54.485)	Prec@5 85.156 (85.224)
Test: [90/286]	Time 0.323 (0.456)	Loss 1.6054 (1.7082)	Prec@1 51.562 (54.413)	Prec@5 89.844 (85.148)
Test: [100/286]	Time 0.262 (0.449)	Loss 2.1463 (1.7148)	Prec@1 30.469 (53.945)	Prec@5 85.938 (85.187)
Test: [110/286]	Time 0.224 (0.443)	Loss 2.1865 (1.7329)	Prec@1 43.750 (53.456)	Prec@5 76.562 (85.051)
Test: [120/286]	Time 1.440 (0.447)	Loss 1.5117 (1.7209)	Prec@1 62.500 (54.016)	Prec@5 85.938 (85.137)
Test: [130/286]	Time 0.289 (0.443)	Loss 0.8934 (1.7148)	Prec@1 73.438 (54.258)	Prec@5 93.750 (85.156)
Test: [140/286]	Time 0.227 (0.439)	Loss 2.0953 (1.7102)	Prec@1 50.781 (54.394)	Prec@5 75.000 (85.101)
Test: [150/286]	Time 0.234 (0.436)	Loss 2.6569 (1.7236)	Prec@1 28.906 (53.927)	Prec@5 75.000 (85.017)
Test: [160/286]	Time 0.632 (0.435)	Loss 2.7384 (1.7242)	Prec@1 21.094 (53.901)	Prec@5 70.312 (84.957)
Test: [170/286]	Time 0.271 (0.438)	Loss 1.9117 (1.7186)	Prec@1 47.656 (54.030)	Prec@5 81.250 (84.978)
Test: [180/286]	Time 0.230 (0.436)	Loss 1.9360 (1.7271)	Prec@1 53.125 (53.846)	Prec@5 76.562 (84.850)
Test: [190/286]	Time 0.224 (0.434)	Loss 2.8529 (1.7477)	Prec@1 21.094 (53.383)	Prec@5 73.438 (84.665)
Test: [200/286]	Time 0.520 (0.432)	Loss 1.8031 (1.7429)	Prec@1 60.156 (53.510)	Prec@5 87.500 (84.736)
Test: [210/286]	Time 0.238 (0.435)	Loss 2.2216 (1.7514)	Prec@1 37.500 (53.229)	Prec@5 80.469 (84.612)
Test: [220/286]	Time 0.235 (0.434)	Loss 2.5961 (1.7557)	Prec@1 26.562 (53.160)	Prec@5 71.875 (84.453)
Test: [230/286]	Time 0.239 (0.431)	Loss 1.3790 (1.7555)	Prec@1 64.062 (53.196)	Prec@5 85.938 (84.463)
Test: [240/286]	Time 0.275 (0.429)	Loss 1.8632 (1.7512)	Prec@1 50.781 (53.339)	Prec@5 82.812 (84.518)
Test: [250/286]	Time 0.335 (0.432)	Loss 1.6509 (1.7420)	Prec@1 51.562 (53.424)	Prec@5 85.938 (84.714)
Test: [260/286]	Time 0.235 (0.430)	Loss 1.5406 (1.7312)	Prec@1 58.594 (53.733)	Prec@5 91.406 (84.878)
Test: [270/286]	Time 0.228 (0.428)	Loss 1.1873 (1.7347)	Prec@1 71.094 (53.696)	Prec@5 91.406 (84.877)
Test: [280/286]	Time 0.488 (0.427)	Loss 1.6633 (1.7203)	Prec@1 60.938 (54.173)	Prec@5 90.625 (85.017)
 * Prec@1 54.288 Prec@5 85.034
Epoch: [86][0/14090]	Time 6.090 (6.090)	Data 5.138 (5.138)	Loss 1.9763 (1.9763)	Prec@1 47.656 (47.656)	Prec@5 80.469 (80.469)
Epoch: [86][10/14090]	Time 0.722 (1.227)	Data 0.001 (0.468)	Loss 1.9095 (1.7280)	Prec@1 48.438 (53.267)	Prec@5 82.031 (83.807)
Epoch: [86][20/14090]	Time 0.725 (1.001)	Data 0.001 (0.245)	Loss 1.6637 (1.7443)	Prec@1 56.250 (53.460)	Prec@5 82.812 (83.259)
Epoch: [86][30/14090]	Time 0.735 (0.931)	Data 0.001 (0.167)	Loss 1.8636 (1.7588)	Prec@1 50.781 (52.747)	Prec@5 77.344 (82.838)
Epoch: [86][40/14090]	Time 0.725 (0.888)	Data 0.001 (0.126)	Loss 1.9257 (1.7916)	Prec@1 49.219 (52.591)	Prec@5 78.906 (82.412)
Epoch: [86][50/14090]	Time 0.752 (0.866)	Data 0.001 (0.102)	Loss 1.7035 (1.7937)	Prec@1 48.438 (52.405)	Prec@5 82.812 (82.368)
Epoch: [86][60/14090]	Time 0.737 (0.850)	Data 0.001 (0.085)	Loss 1.6525 (1.7828)	Prec@1 54.688 (52.626)	Prec@5 83.594 (82.480)
Epoch: [86][70/14090]	Time 0.872 (0.838)	Data 0.001 (0.073)	Loss 1.6596 (1.7694)	Prec@1 56.250 (52.916)	Prec@5 87.500 (82.724)
Epoch: [86][80/14090]	Time 0.742 (0.829)	Data 0.001 (0.064)	Loss 1.8277 (1.7817)	Prec@1 51.562 (52.845)	Prec@5 81.250 (82.552)
Epoch: [86][90/14090]	Time 0.733 (0.821)	Data 0.001 (0.057)	Loss 1.8604 (1.7885)	Prec@1 53.125 (52.893)	Prec@5 80.469 (82.435)
Epoch: [86][100/14090]	Time 0.781 (0.816)	Data 0.001 (0.052)	Loss 1.5235 (1.7812)	Prec@1 59.375 (52.970)	Prec@5 89.062 (82.557)
Epoch: [86][110/14090]	Time 0.761 (0.811)	Data 0.001 (0.047)	Loss 1.7449 (1.7857)	Prec@1 52.344 (52.865)	Prec@5 85.938 (82.439)
Epoch: [86][120/14090]	Time 0.736 (0.807)	Data 0.001 (0.043)	Loss 1.7462 (1.7836)	Prec@1 51.562 (52.970)	Prec@5 85.156 (82.457)
Epoch: [86][130/14090]	Time 0.754 (0.803)	Data 0.001 (0.040)	Loss 1.6532 (1.7807)	Prec@1 55.469 (53.042)	Prec@5 81.250 (82.479)
Epoch: [86][140/14090]	Time 0.845 (0.801)	Data 0.001 (0.037)	Loss 1.7030 (1.7742)	Prec@1 54.688 (53.297)	Prec@5 81.250 (82.596)
Epoch: [86][150/14090]	Time 0.738 (0.798)	Data 0.001 (0.035)	Loss 1.6862 (1.7736)	Prec@1 55.469 (53.244)	Prec@5 81.250 (82.585)
Epoch: [86][160/14090]	Time 0.754 (0.795)	Data 0.001 (0.033)	Loss 1.8511 (1.7762)	Prec@1 49.219 (53.203)	Prec@5 81.250 (82.599)
Epoch: [86][170/14090]	Time 0.743 (0.793)	Data 0.001 (0.031)	Loss 1.8538 (1.7754)	Prec@1 55.469 (53.166)	Prec@5 78.125 (82.552)
Epoch: [86][180/14090]	Time 0.749 (0.791)	Data 0.001 (0.029)	Loss 2.0248 (1.7795)	Prec@1 49.219 (53.203)	Prec@5 80.469 (82.493)
Epoch: [86][190/14090]	Time 0.753 (0.790)	Data 0.001 (0.028)	Loss 1.5967 (1.7795)	Prec@1 56.250 (53.211)	Prec@5 88.281 (82.563)
Epoch: [86][200/14090]	Time 0.720 (0.788)	Data 0.001 (0.026)	Loss 1.6722 (1.7773)	Prec@1 57.812 (53.292)	Prec@5 86.719 (82.583)
Epoch: [86][210/14090]	Time 0.839 (0.787)	Data 0.001 (0.025)	Loss 1.5518 (1.7763)	Prec@1 57.812 (53.225)	Prec@5 88.281 (82.587)
Epoch: [86][220/14090]	Time 0.756 (0.786)	Data 0.001 (0.024)	Loss 1.7291 (1.7774)	Prec@1 50.000 (53.125)	Prec@5 85.156 (82.526)
Epoch: [86][230/14090]	Time 0.741 (0.785)	Data 0.001 (0.023)	Loss 1.7622 (1.7745)	Prec@1 51.562 (53.182)	Prec@5 82.031 (82.562)
Epoch: [86][240/14090]	Time 0.735 (0.785)	Data 0.001 (0.022)	Loss 1.7666 (1.7731)	Prec@1 50.781 (53.209)	Prec@5 84.375 (82.657)
Epoch: [86][250/14090]	Time 0.744 (0.784)	Data 0.001 (0.021)	Loss 2.1094 (1.7756)	Prec@1 42.969 (53.150)	Prec@5 73.438 (82.604)
Epoch: [86][260/14090]	Time 0.730 (0.784)	Data 0.001 (0.021)	Loss 1.8704 (1.7745)	Prec@1 50.781 (53.128)	Prec@5 80.469 (82.597)
Epoch: [86][270/14090]	Time 0.750 (0.783)	Data 0.001 (0.020)	Loss 1.7989 (1.7770)	Prec@1 52.344 (53.036)	Prec@5 81.250 (82.544)
Epoch: [86][280/14090]	Time 0.869 (0.782)	Data 0.001 (0.019)	Loss 2.0564 (1.7790)	Prec@1 51.562 (52.978)	Prec@5 74.219 (82.493)
Epoch: [86][290/14090]	Time 0.746 (0.782)	Data 0.001 (0.018)	Loss 1.8267 (1.7784)	Prec@1 53.906 (52.964)	Prec@5 81.250 (82.474)
Epoch: [86][300/14090]	Time 0.758 (0.781)	Data 0.001 (0.018)	Loss 1.9172 (1.7780)	Prec@1 43.750 (52.928)	Prec@5 82.812 (82.509)
Epoch: [86][310/14090]	Time 0.773 (0.781)	Data 0.001 (0.017)	Loss 2.0223 (1.7789)	Prec@1 46.094 (52.904)	Prec@5 73.438 (82.453)